diff --git a/MLP_feature_cleaning.ipynb b/MLP_feature_cleaning.ipynb
index 110bdb3..433ea89 100644
--- a/MLP_feature_cleaning.ipynb
+++ b/MLP_feature_cleaning.ipynb
@@ -26,7 +26,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/statcast.py:50: UserWarning: \n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/statcast.py:50: UserWarning: \n",
       "That's a nice request you got there. It'd be a shame if something were to happen to it.\n",
       "We strongly recommend that you enable caching before running this. It's as simple as `pybaseball.cache.enable()`.\n",
       "Since the Statcast requests can take a *really* long time to run, if something were to happen, like: a disconnect;\n",
@@ -47,1539 +47,827 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "  0%|          | 1/200 [00:00<00:24,  8.06it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  0%|          | 0/200 [00:00<?, ?it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  1%|          | 2/200 [00:00<01:29,  2.22it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  0%|          | 1/200 [00:00<02:09,  1.54it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  1%|          | 2/200 [00:00<01:29,  2.22it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  0%|          | 1/200 [00:00<02:09,  1.54it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  2%|▏         | 3/200 [00:01<01:17,  2.53it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  2%|▏         | 3/200 [00:00<00:47,  4.15it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  2%|▏         | 4/200 [00:01<01:01,  3.20it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  2%|▏         | 4/200 [00:01<00:42,  4.59it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  2%|▏         | 4/200 [00:01<01:01,  3.20it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  2%|▏         | 4/200 [00:01<00:42,  4.59it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  2%|▎         | 5/200 [00:01<00:37,  5.19it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  5%|▌         | 10/200 [00:02<00:34,  5.54it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  7%|▋         | 14/200 [00:02<00:20,  8.96it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  7%|▋         | 14/200 [00:02<00:20,  8.96it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  8%|▊         | 16/200 [00:03<00:24,  7.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  2%|▎         | 5/200 [00:02<02:28,  1.32it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  8%|▊         | 17/200 [00:03<00:25,  7.16it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  4%|▎         | 7/200 [00:03<01:45,  1.83it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  4%|▍         | 8/200 [00:03<01:22,  2.32it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  9%|▉         | 18/200 [00:03<00:32,  5.66it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  4%|▍         | 8/200 [00:03<01:22,  2.32it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "  9%|▉         | 18/200 [00:03<00:32,  5.66it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 10%|█         | 21/200 [00:03<00:25,  7.13it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 11%|█         | 22/200 [00:04<00:26,  6.73it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 12%|█▏        | 23/200 [00:04<00:25,  7.04it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 12%|█▎        | 25/200 [00:04<00:23,  7.46it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  5%|▌         | 10/200 [00:04<01:01,  3.11it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 13%|█▎        | 26/200 [00:04<00:22,  7.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  6%|▌         | 12/200 [00:04<00:40,  4.62it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 13%|█▎        | 26/200 [00:04<00:22,  7.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  8%|▊         | 15/200 [00:04<00:26,  6.95it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 14%|█▎        | 27/200 [00:04<00:27,  6.24it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 14%|█▍        | 28/200 [00:05<00:46,  3.73it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "  8%|▊         | 17/200 [00:04<00:23,  7.88it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 14%|█▍        | 28/200 [00:05<00:46,  3.73it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 14%|█▍        | 29/200 [00:08<02:38,  1.08it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 16%|█▌        | 31/200 [00:08<01:43,  1.64it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 16%|█▌        | 32/200 [00:08<01:22,  2.03it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 16%|█▌        | 32/200 [00:08<01:22,  2.03it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 16%|█▋        | 33/200 [00:08<01:09,  2.41it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 16%|█▋        | 33/200 [00:08<01:09,  2.41it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 17%|█▋        | 34/200 [00:09<01:05,  2.52it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 18%|█▊        | 35/200 [00:09<00:55,  2.99it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 18%|█▊        | 36/200 [00:09<00:46,  3.55it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 18%|█▊        | 37/200 [00:09<00:50,  3.20it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 18%|█▊        | 37/200 [00:09<00:50,  3.20it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 19%|█▉        | 38/200 [00:10<00:42,  3.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 20%|█▉        | 39/200 [00:10<00:37,  4.30it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 20%|██        | 40/200 [00:10<00:34,  4.65it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 20%|██        | 41/200 [00:10<00:38,  4.08it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 21%|██        | 42/200 [00:10<00:32,  4.88it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 22%|██▏       | 43/200 [00:11<00:40,  3.85it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 10%|▉         | 19/200 [00:05<00:43,  4.16it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 22%|██▏       | 43/200 [00:11<00:40,  3.85it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 22%|██▏       | 44/200 [00:11<00:46,  3.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 10%|█         | 20/200 [00:06<00:42,  4.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 22%|██▏       | 44/200 [00:11<00:46,  3.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 22%|██▎       | 45/200 [00:11<00:42,  3.66it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 22%|██▎       | 45/200 [00:11<00:42,  3.66it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 23%|██▎       | 46/200 [00:11<00:36,  4.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 24%|██▎       | 47/200 [00:12<00:40,  3.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 10%|█         | 21/200 [00:06<00:45,  3.89it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 24%|██▎       | 47/200 [00:12<00:40,  3.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 24%|██▍       | 48/200 [00:12<00:45,  3.31it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 10%|█         | 21/200 [00:06<00:45,  3.89it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 24%|██▍       | 48/200 [00:12<00:45,  3.31it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 11%|█         | 22/200 [00:06<00:46,  3.85it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 11%|█         | 22/200 [00:06<00:46,  3.85it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 24%|██▍       | 49/200 [00:13<00:53,  2.83it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 26%|██▌       | 52/200 [00:13<00:28,  5.19it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 26%|██▌       | 52/200 [00:13<00:28,  5.19it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 26%|██▋       | 53/200 [00:13<00:27,  5.42it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 27%|██▋       | 54/200 [00:13<00:24,  5.88it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 27%|██▋       | 54/200 [00:13<00:24,  5.88it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 14%|█▍        | 28/200 [00:07<00:32,  5.26it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 28%|██▊       | 55/200 [00:14<00:34,  4.24it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 29%|██▉       | 58/200 [00:14<00:20,  6.93it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 29%|██▉       | 58/200 [00:14<00:20,  6.93it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 30%|██▉       | 59/200 [00:14<00:25,  5.49it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 16%|█▌        | 31/200 [00:08<00:28,  5.90it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 30%|██▉       | 59/200 [00:14<00:25,  5.49it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 30%|███       | 60/200 [00:14<00:23,  6.06it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 30%|███       | 61/200 [00:14<00:22,  6.06it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 31%|███       | 62/200 [00:14<00:23,  5.92it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 32%|███▏      | 63/200 [00:15<00:23,  5.91it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 32%|███▏      | 64/200 [00:15<00:25,  5.35it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 32%|███▏      | 64/200 [00:15<00:25,  5.35it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 32%|███▎      | 65/200 [00:16<00:44,  3.04it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 32%|███▎      | 65/200 [00:16<00:44,  3.04it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 33%|███▎      | 66/200 [00:17<01:08,  1.95it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 33%|███▎      | 66/200 [00:17<01:08,  1.95it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 34%|███▎      | 67/200 [00:17<01:04,  2.06it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 34%|███▎      | 67/200 [00:17<01:04,  2.06it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 34%|███▍      | 68/200 [00:17<00:59,  2.22it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 34%|███▍      | 68/200 [00:17<00:59,  2.22it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 34%|███▍      | 69/200 [00:17<00:45,  2.88it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 16%|█▌        | 32/200 [00:08<00:38,  4.36it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 34%|███▍      | 69/200 [00:17<00:45,  2.88it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 35%|███▌      | 70/200 [00:18<00:38,  3.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 16%|█▋        | 33/200 [00:09<00:43,  3.84it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 35%|███▌      | 70/200 [00:18<00:38,  3.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 36%|███▌      | 71/200 [00:18<00:54,  2.35it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 17%|█▋        | 34/200 [00:09<00:39,  4.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 36%|███▌      | 71/200 [00:18<00:54,  2.35it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 36%|███▌      | 72/200 [00:19<01:20,  1.60it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 18%|█▊        | 35/200 [00:09<00:36,  4.53it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 36%|███▌      | 72/200 [00:19<01:20,  1.60it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 36%|███▋      | 73/200 [00:20<01:11,  1.77it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 18%|█▊        | 35/200 [00:09<00:36,  4.53it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 36%|███▋      | 73/200 [00:20<01:11,  1.77it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 37%|███▋      | 74/200 [00:20<00:56,  2.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 18%|█▊        | 36/200 [00:09<00:34,  4.75it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 38%|███▊      | 75/200 [00:20<00:46,  2.66it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 18%|█▊        | 36/200 [00:09<00:34,  4.75it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 38%|███▊      | 75/200 [00:20<00:46,  2.66it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 38%|███▊      | 76/200 [00:21<00:43,  2.83it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 18%|█▊        | 37/200 [00:09<00:37,  4.35it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 38%|███▊      | 77/200 [00:21<00:34,  3.54it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 39%|███▉      | 78/200 [00:21<00:30,  4.05it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 18%|█▊        | 37/200 [00:09<00:37,  4.35it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 40%|███▉      | 79/200 [00:21<00:27,  4.36it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 40%|████      | 80/200 [00:21<00:25,  4.68it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 40%|████      | 81/200 [00:21<00:24,  4.88it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 41%|████      | 82/200 [00:22<00:26,  4.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 20%|██        | 41/200 [00:10<00:32,  4.86it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 42%|████▏     | 83/200 [00:22<00:29,  4.00it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 42%|████▏     | 84/200 [00:22<00:24,  4.78it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 22%|██▏       | 43/200 [00:11<00:30,  5.21it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 42%|████▎     | 85/200 [00:22<00:24,  4.68it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 43%|████▎     | 86/200 [00:22<00:23,  4.83it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 43%|████▎     | 86/200 [00:22<00:23,  4.83it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 44%|████▎     | 87/200 [00:23<00:27,  4.14it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 44%|████▎     | 87/200 [00:23<00:27,  4.14it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 44%|████▍     | 88/200 [00:23<00:29,  3.76it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 44%|████▍     | 89/200 [00:23<00:24,  4.52it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 45%|████▌     | 90/200 [00:24<00:44,  2.46it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 45%|████▌     | 90/200 [00:24<00:44,  2.46it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 46%|████▌     | 91/200 [00:25<00:45,  2.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 46%|████▌     | 91/200 [00:25<00:45,  2.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 22%|██▏       | 44/200 [00:11<00:32,  4.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 46%|████▌     | 92/200 [00:25<00:38,  2.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 46%|████▋     | 93/200 [00:25<00:32,  3.32it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 23%|██▎       | 46/200 [00:11<00:27,  5.52it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 46%|████▋     | 93/200 [00:25<00:32,  3.32it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 47%|████▋     | 94/200 [00:25<00:29,  3.59it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 47%|████▋     | 94/200 [00:25<00:29,  3.59it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 24%|██▎       | 47/200 [00:11<00:28,  5.45it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 24%|██▎       | 47/200 [00:11<00:28,  5.45it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 48%|████▊     | 95/200 [00:25<00:24,  4.34it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 48%|████▊     | 96/200 [00:25<00:20,  4.97it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 48%|████▊     | 97/200 [00:26<00:21,  4.74it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 48%|████▊     | 97/200 [00:26<00:21,  4.74it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 49%|████▉     | 98/200 [00:26<00:22,  4.48it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 49%|████▉     | 98/200 [00:26<00:22,  4.48it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 50%|█████     | 100/200 [00:26<00:19,  5.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 50%|█████     | 101/200 [00:27<00:25,  3.84it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 24%|██▍       | 49/200 [00:12<00:36,  4.13it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 50%|█████     | 101/200 [00:27<00:25,  3.84it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 51%|█████     | 102/200 [00:27<00:27,  3.58it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 51%|█████     | 102/200 [00:27<00:27,  3.58it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 26%|██▌       | 51/200 [00:12<00:25,  5.93it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 26%|██▌       | 51/200 [00:12<00:25,  5.93it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 52%|█████▏    | 103/200 [00:27<00:24,  4.04it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 52%|█████▏    | 104/200 [00:27<00:22,  4.30it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 52%|█████▎    | 105/200 [00:28<00:20,  4.74it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 53%|█████▎    | 106/200 [00:28<00:23,  4.06it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 54%|█████▎    | 107/200 [00:28<00:21,  4.29it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 54%|█████▎    | 107/200 [00:28<00:21,  4.29it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 54%|█████▍    | 108/200 [00:28<00:19,  4.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 26%|██▌       | 52/200 [00:13<00:31,  4.69it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 55%|█████▍    | 109/200 [00:28<00:16,  5.50it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 26%|██▌       | 52/200 [00:13<00:31,  4.69it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 55%|█████▍    | 109/200 [00:28<00:16,  5.50it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 55%|█████▌    | 110/200 [00:29<00:19,  4.54it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 26%|██▋       | 53/200 [00:13<00:48,  3.02it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 57%|█████▋    | 114/200 [00:29<00:11,  7.76it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 28%|██▊       | 57/200 [00:14<00:23,  6.19it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 57%|█████▊    | 115/200 [00:29<00:11,  7.34it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 58%|█████▊    | 116/200 [00:29<00:13,  6.33it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 58%|█████▊    | 116/200 [00:29<00:13,  6.33it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 58%|█████▊    | 117/200 [00:30<00:13,  6.29it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 58%|█████▊    | 117/200 [00:30<00:13,  6.29it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 60%|█████▉    | 119/200 [00:30<00:10,  7.47it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 60%|██████    | 120/200 [00:30<00:18,  4.35it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 60%|██████    | 120/200 [00:30<00:18,  4.35it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 60%|██████    | 121/200 [00:30<00:17,  4.63it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 61%|██████    | 122/200 [00:31<00:16,  4.87it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 62%|██████▏   | 123/200 [00:31<00:14,  5.24it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 30%|██▉       | 59/200 [00:14<00:25,  5.58it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 62%|██████▏   | 123/200 [00:31<00:14,  5.24it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 62%|██████▏   | 124/200 [00:31<00:14,  5.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 62%|██████▎   | 125/200 [00:31<00:17,  4.36it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 63%|██████▎   | 126/200 [00:31<00:16,  4.60it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 64%|██████▎   | 127/200 [00:32<00:19,  3.81it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 30%|███       | 61/200 [00:14<00:22,  6.05it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 64%|██████▎   | 127/200 [00:32<00:19,  3.81it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 64%|██████▍   | 128/200 [00:32<00:15,  4.54it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 64%|██████▍   | 129/200 [00:32<00:21,  3.32it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 64%|██████▍   | 129/200 [00:32<00:21,  3.32it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 65%|██████▌   | 130/200 [00:33<00:22,  3.16it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 65%|██████▌   | 130/200 [00:33<00:22,  3.16it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 32%|███▏      | 64/200 [00:15<00:27,  5.00it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 66%|██████▌   | 131/200 [00:33<00:19,  3.62it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 66%|██████▌   | 132/200 [00:33<00:20,  3.27it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 66%|██████▌   | 132/200 [00:33<00:20,  3.27it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 66%|██████▋   | 133/200 [00:34<00:24,  2.78it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 66%|██████▋   | 133/200 [00:34<00:24,  2.78it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 67%|██████▋   | 134/200 [00:34<00:20,  3.27it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 68%|██████▊   | 135/200 [00:34<00:17,  3.78it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 68%|██████▊   | 135/200 [00:34<00:17,  3.78it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 68%|██████▊   | 136/200 [00:35<00:23,  2.67it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 68%|██████▊   | 137/200 [00:35<00:18,  3.37it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 69%|██████▉   | 138/200 [00:35<00:21,  2.89it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 33%|███▎      | 66/200 [00:16<00:27,  4.87it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 69%|██████▉   | 138/200 [00:35<00:21,  2.89it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 70%|██████▉   | 139/200 [00:36<00:20,  3.03it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 33%|███▎      | 66/200 [00:16<00:27,  4.87it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 70%|██████▉   | 139/200 [00:36<00:20,  3.03it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 70%|███████   | 140/200 [00:36<00:18,  3.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 70%|███████   | 140/200 [00:36<00:18,  3.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 70%|███████   | 141/200 [00:36<00:18,  3.25it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 34%|███▍      | 68/200 [00:16<00:26,  4.98it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 70%|███████   | 141/200 [00:36<00:18,  3.25it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 71%|███████   | 142/200 [00:37<00:17,  3.36it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 71%|███████   | 142/200 [00:37<00:17,  3.36it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 72%|███████▏  | 143/200 [00:37<00:13,  4.10it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 34%|███▍      | 69/200 [00:16<00:25,  5.20it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 72%|███████▏  | 143/200 [00:37<00:13,  4.10it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 72%|███████▎  | 145/200 [00:37<00:10,  5.25it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 73%|███████▎  | 146/200 [00:37<00:11,  4.72it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 74%|███████▎  | 147/200 [00:37<00:11,  4.44it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 74%|███████▍  | 148/200 [00:38<00:10,  4.76it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 74%|███████▍  | 148/200 [00:38<00:10,  4.76it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 36%|███▌      | 72/200 [00:16<00:22,  5.82it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 74%|███████▍  | 149/200 [00:38<00:09,  5.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 37%|███▋      | 74/200 [00:17<00:18,  6.94it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 75%|███████▌  | 150/200 [00:38<00:09,  5.35it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 37%|███▋      | 74/200 [00:17<00:18,  6.94it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 76%|███████▌  | 151/200 [00:38<00:09,  5.41it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 76%|███████▌  | 151/200 [00:38<00:09,  5.41it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 76%|███████▌  | 152/200 [00:38<00:08,  5.64it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 76%|███████▋  | 153/200 [00:39<00:10,  4.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 76%|███████▋  | 153/200 [00:39<00:10,  4.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 77%|███████▋  | 154/200 [00:39<00:10,  4.34it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 77%|███████▋  | 154/200 [00:39<00:10,  4.34it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 78%|███████▊  | 155/200 [00:39<00:10,  4.22it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 78%|███████▊  | 155/200 [00:39<00:10,  4.22it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 38%|███▊      | 76/200 [00:17<00:27,  4.54it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 78%|███████▊  | 156/200 [00:39<00:10,  4.28it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 78%|███████▊  | 157/200 [00:40<00:12,  3.33it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 38%|███▊      | 77/200 [00:18<00:23,  5.13it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 78%|███████▊  | 157/200 [00:40<00:12,  3.33it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 79%|███████▉  | 158/200 [00:40<00:12,  3.27it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 39%|███▉      | 78/200 [00:18<00:22,  5.53it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 79%|███████▉  | 158/200 [00:40<00:12,  3.27it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 80%|███████▉  | 159/200 [00:40<00:11,  3.46it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 80%|███████▉  | 159/200 [00:40<00:11,  3.46it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 40%|███▉      | 79/200 [00:18<00:23,  5.26it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 80%|████████  | 160/200 [00:41<00:10,  3.81it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 80%|████████  | 161/200 [00:41<00:10,  3.67it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 81%|████████  | 162/200 [00:41<00:09,  4.15it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 81%|████████  | 162/200 [00:41<00:09,  4.15it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 82%|████████▏ | 163/200 [00:41<00:08,  4.19it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 40%|████      | 81/200 [00:18<00:21,  5.55it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 82%|████████▏ | 163/200 [00:41<00:08,  4.19it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 42%|████▏     | 83/200 [00:18<00:16,  7.01it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 82%|████████▎ | 165/200 [00:42<00:07,  4.52it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 82%|████████▎ | 165/200 [00:42<00:07,  4.52it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 83%|████████▎ | 166/200 [00:42<00:08,  3.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 83%|████████▎ | 166/200 [00:42<00:08,  3.80it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 84%|████████▎ | 167/200 [00:43<00:11,  2.93it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 84%|████████▎ | 167/200 [00:43<00:11,  2.93it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 84%|████████▍ | 168/200 [00:43<00:13,  2.39it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 42%|████▏     | 84/200 [00:19<00:19,  5.96it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 84%|████████▍ | 168/200 [00:43<00:13,  2.39it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 84%|████████▍ | 169/200 [00:44<00:12,  2.56it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 85%|████████▌ | 170/200 [00:44<00:12,  2.46it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 85%|████████▌ | 170/200 [00:44<00:12,  2.46it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 86%|████████▌ | 171/200 [00:44<00:10,  2.77it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 86%|████████▌ | 171/200 [00:44<00:10,  2.77it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 86%|████████▌ | 172/200 [00:44<00:08,  3.14it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 43%|████▎     | 86/200 [00:19<00:14,  7.90it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 86%|████████▌ | 172/200 [00:44<00:08,  3.14it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 86%|████████▋ | 173/200 [00:45<00:07,  3.76it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 86%|████████▋ | 173/200 [00:45<00:07,  3.76it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 87%|████████▋ | 174/200 [00:45<00:08,  2.96it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 87%|████████▋ | 174/200 [00:45<00:08,  2.96it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 88%|████████▊ | 175/200 [00:45<00:07,  3.48it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 88%|████████▊ | 176/200 [00:47<00:16,  1.44it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 44%|████▍     | 88/200 [00:19<00:16,  6.86it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 88%|████████▊ | 176/200 [00:47<00:16,  1.44it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 88%|████████▊ | 177/200 [00:47<00:14,  1.63it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 88%|████████▊ | 177/200 [00:47<00:14,  1.63it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 89%|████████▉ | 178/200 [00:48<00:11,  1.91it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 89%|████████▉ | 178/200 [00:48<00:11,  1.91it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 90%|████████▉ | 179/200 [00:48<00:09,  2.20it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 90%|█████████ | 180/200 [00:48<00:09,  2.19it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 90%|█████████ | 180/200 [00:48<00:09,  2.19it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 90%|█████████ | 181/200 [00:49<00:06,  2.78it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 90%|█████████ | 181/200 [00:49<00:06,  2.78it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 91%|█████████ | 182/200 [00:49<00:08,  2.21it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 91%|█████████ | 182/200 [00:49<00:08,  2.21it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 92%|█████████▏| 183/200 [00:49<00:06,  2.79it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 92%|█████████▏| 184/200 [00:50<00:05,  2.85it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 44%|████▍     | 89/200 [00:20<00:25,  4.39it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 92%|█████████▏| 184/200 [00:50<00:05,  2.85it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 92%|█████████▎| 185/200 [00:50<00:05,  2.64it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 45%|████▌     | 90/200 [00:20<00:23,  4.72it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 92%|█████████▎| 185/200 [00:50<00:05,  2.64it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 93%|█████████▎| 186/200 [00:51<00:06,  2.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 46%|████▌     | 91/200 [00:20<00:21,  5.07it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 93%|█████████▎| 186/200 [00:51<00:06,  2.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 94%|█████████▎| 187/200 [00:51<00:04,  2.79it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 94%|█████████▎| 187/200 [00:51<00:04,  2.79it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 94%|█████████▍| 188/200 [00:51<00:03,  3.31it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 94%|█████████▍| 188/200 [00:51<00:03,  3.31it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 46%|████▌     | 92/200 [00:21<00:33,  3.24it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 95%|█████████▌| 190/200 [00:51<00:02,  4.57it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 48%|████▊     | 95/200 [00:21<00:19,  5.51it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 96%|█████████▌| 191/200 [00:51<00:01,  5.10it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 48%|████▊     | 96/200 [00:21<00:17,  6.03it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 96%|█████████▌| 191/200 [00:51<00:01,  5.10it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 96%|█████████▋| 193/200 [00:52<00:01,  5.27it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 96%|█████████▋| 193/200 [00:52<00:01,  5.27it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 97%|█████████▋| 194/200 [00:52<00:01,  4.25it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 97%|█████████▋| 194/200 [00:52<00:01,  4.25it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 48%|████▊     | 97/200 [00:21<00:17,  5.86it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 98%|█████████▊| 195/200 [00:52<00:01,  4.47it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 98%|█████████▊| 196/200 [00:53<00:01,  2.52it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 48%|████▊     | 97/200 [00:21<00:17,  5.86it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 98%|█████████▊| 196/200 [00:53<00:01,  2.52it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 98%|█████████▊| 197/200 [00:54<00:01,  1.99it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 98%|█████████▊| 197/200 [00:54<00:01,  1.99it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 99%|█████████▉| 198/200 [00:54<00:00,  2.30it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      " 99%|█████████▉| 198/200 [00:54<00:00,  2.30it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "100%|█████████▉| 199/200 [00:55<00:00,  2.13it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "100%|█████████▉| 199/200 [00:55<00:00,  2.13it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
+      "100%|██████████| 200/200 [00:57<00:00,  3.49it/s]/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
       "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 50%|█████     | 100/200 [00:22<00:16,  6.07it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 51%|█████     | 102/200 [00:22<00:18,  5.41it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 52%|█████▏    | 103/200 [00:22<00:17,  5.46it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 53%|█████▎    | 106/200 [00:23<00:20,  4.54it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 56%|█████▌    | 111/200 [00:24<00:13,  6.84it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 56%|█████▌    | 111/200 [00:24<00:13,  6.84it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 56%|█████▌    | 112/200 [00:24<00:12,  7.11it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 56%|█████▌    | 112/200 [00:24<00:12,  7.11it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 57%|█████▋    | 114/200 [00:24<00:10,  8.40it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 57%|█████▋    | 114/200 [00:24<00:10,  8.40it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 58%|█████▊    | 116/200 [00:24<00:11,  7.01it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 59%|█████▉    | 118/200 [00:25<00:11,  6.94it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 60%|██████    | 121/200 [00:25<00:08,  9.70it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 62%|██████▏   | 123/200 [00:26<00:15,  4.83it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 63%|██████▎   | 126/200 [00:26<00:12,  5.93it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 64%|██████▍   | 128/200 [00:26<00:10,  6.88it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 64%|██████▍   | 128/200 [00:26<00:10,  6.88it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 65%|██████▌   | 130/200 [00:27<00:12,  5.70it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 66%|██████▌   | 132/200 [00:27<00:14,  4.56it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 68%|██████▊   | 135/200 [00:28<00:11,  5.87it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 68%|██████▊   | 135/200 [00:28<00:11,  5.87it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 68%|██████▊   | 136/200 [00:28<00:13,  4.75it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 68%|██████▊   | 137/200 [00:28<00:13,  4.82it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 70%|██████▉   | 139/200 [00:28<00:09,  6.31it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 70%|██████▉   | 139/200 [00:28<00:09,  6.31it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 70%|███████   | 141/200 [00:29<00:09,  6.33it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 70%|███████   | 141/200 [00:29<00:09,  6.33it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 71%|███████   | 142/200 [00:29<00:09,  6.30it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 71%|███████   | 142/200 [00:29<00:09,  6.30it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 72%|███████▏  | 144/200 [00:29<00:07,  7.09it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 72%|███████▏  | 144/200 [00:29<00:07,  7.09it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 74%|███████▎  | 147/200 [00:30<00:09,  5.33it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 74%|███████▍  | 149/200 [00:30<00:07,  6.38it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 75%|███████▌  | 150/200 [00:31<00:12,  3.96it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 76%|███████▌  | 152/200 [00:31<00:09,  4.85it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 76%|███████▋  | 153/200 [00:31<00:08,  5.25it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 76%|███████▋  | 153/200 [00:31<00:08,  5.25it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 77%|███████▋  | 154/200 [00:31<00:09,  4.62it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 78%|███████▊  | 155/200 [00:32<00:10,  4.37it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 78%|███████▊  | 157/200 [00:32<00:07,  5.57it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 78%|███████▊  | 157/200 [00:32<00:07,  5.57it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 80%|███████▉  | 159/200 [00:32<00:09,  4.46it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 80%|████████  | 160/200 [00:33<00:09,  4.30it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 81%|████████  | 162/200 [00:33<00:08,  4.41it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 82%|████████▎ | 165/200 [00:33<00:05,  5.98it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 84%|████████▎ | 167/200 [00:34<00:06,  5.07it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 84%|████████▎ | 167/200 [00:34<00:06,  5.07it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 84%|████████▍ | 168/200 [00:34<00:06,  5.03it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 84%|████████▍ | 169/200 [00:35<00:07,  4.39it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 86%|████████▌ | 171/200 [00:35<00:04,  6.23it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 86%|████████▌ | 172/200 [00:35<00:04,  6.74it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 86%|████████▌ | 172/200 [00:35<00:04,  6.74it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 86%|████████▋ | 173/200 [00:35<00:04,  5.52it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 86%|████████▋ | 173/200 [00:35<00:04,  5.52it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 87%|████████▋ | 174/200 [00:35<00:05,  4.51it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 87%|████████▋ | 174/200 [00:35<00:05,  4.51it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 88%|████████▊ | 175/200 [00:36<00:05,  4.51it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 88%|████████▊ | 176/200 [00:36<00:04,  4.91it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 89%|████████▉ | 178/200 [00:36<00:03,  5.79it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 89%|████████▉ | 178/200 [00:36<00:03,  5.79it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 90%|█████████ | 180/200 [00:37<00:04,  4.11it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 90%|█████████ | 181/200 [00:37<00:04,  3.90it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 91%|█████████ | 182/200 [00:37<00:04,  4.03it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 91%|█████████ | 182/200 [00:37<00:04,  4.03it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 93%|█████████▎| 186/200 [00:38<00:02,  6.27it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 93%|█████████▎| 186/200 [00:38<00:02,  6.27it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 94%|█████████▎| 187/200 [00:38<00:02,  6.28it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 94%|█████████▎| 187/200 [00:38<00:02,  6.28it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 94%|█████████▍| 189/200 [00:38<00:01,  7.39it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      " 98%|█████████▊| 195/200 [00:39<00:00,  6.65it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "100%|█████████▉| 199/200 [00:40<00:00,  4.60it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "100%|█████████▉| 199/200 [00:40<00:00,  4.60it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "100%|██████████| 200/200 [00:42<00:00,  4.69it/s]/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/datahelpers/postprocessing.py:59: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_datetime without passing `errors` and catch exceptions explicitly instead\n",
-      "  data_copy[column] = data_copy[column].apply(pd.to_datetime, errors='ignore', format=date_format)\n",
-      "100%|██████████| 200/200 [00:42<00:00,  4.69it/s]\n",
-      "\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/statcast.py:85: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "100%|██████████| 200/200 [00:57<00:00,  3.49it/s]\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/statcast.py:85: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  final_data = pd.concat(dataframe_list, axis=0).convert_dtypes(convert_string=False)\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/pybaseball/statcast.py:85: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/pybaseball/statcast.py:85: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
       "  final_data = pd.concat(dataframe_list, axis=0).convert_dtypes(convert_string=False)\n"
      ]
     },
@@ -2374,11 +1662,11 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/sklearn/manifold/_mds.py:744: FutureWarning: The default value of `n_init` will change from 4 to 1 in 1.9. To suppress this warning, provide some value of `n_init`.\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/sklearn/manifold/_mds.py:744: FutureWarning: The default value of `n_init` will change from 4 to 1 in 1.9. To suppress this warning, provide some value of `n_init`.\n",
       "  warnings.warn(\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/sklearn/manifold/_mds.py:754: FutureWarning: The default value of `init` will change from 'random' to 'classical_mds' in 1.10. To suppress this warning, provide some value of `init`.\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/sklearn/manifold/_mds.py:754: FutureWarning: The default value of `init` will change from 'random' to 'classical_mds' in 1.10. To suppress this warning, provide some value of `init`.\n",
       "  warnings.warn(\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/sklearn/manifold/_mds.py:771: FutureWarning: The `dissimilarity` parameter is deprecated and will be removed in 1.10. Use `metric` instead.\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/sklearn/manifold/_mds.py:771: FutureWarning: The `dissimilarity` parameter is deprecated and will be removed in 1.10. Use `metric` instead.\n",
       "  warnings.warn(\n"
      ]
     },
@@ -123230,15 +122518,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/sklearn/manifold/_mds.py:744: FutureWarning:\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/sklearn/manifold/_mds.py:744: FutureWarning:\n",
       "\n",
       "The default value of `n_init` will change from 4 to 1 in 1.9. To suppress this warning, provide some value of `n_init`.\n",
       "\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/sklearn/manifold/_mds.py:754: FutureWarning:\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/sklearn/manifold/_mds.py:754: FutureWarning:\n",
       "\n",
       "The default value of `init` will change from 'random' to 'classical_mds' in 1.10. To suppress this warning, provide some value of `init`.\n",
       "\n",
-      "/Users/sohanatluri/Downloads/outlyingPitch/test_env/lib/python3.11/site-packages/sklearn/manifold/_mds.py:771: FutureWarning:\n",
+      "/Users/sohanatluri/Downloads/outlyingPitch/.venv/lib/python3.11/site-packages/sklearn/manifold/_mds.py:771: FutureWarning:\n",
       "\n",
       "The `dissimilarity` parameter is deprecated and will be removed in 1.10. Use `metric` instead.\n",
       "\n"
@@ -244225,7 +243513,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 10,
    "id": "5ee219a1",
    "metadata": {},
    "outputs": [
@@ -244757,7 +244045,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 34,
    "id": "9614360d",
    "metadata": {},
    "outputs": [
@@ -244794,7 +244082,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "38628b3f51b84930baaf7b072b8db181",
+       "model_id": "13fc1bf5f35b4c3182565a321e7b457e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -244810,14 +244098,124 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "Early stopping at epoch 73\n",
+      "Early stopping at epoch 85\n",
       "\n",
       "======================================================================\n",
       "FINAL MODEL TRAINING COMPLETE\n",
       "======================================================================\n",
-      "Best validation F1 score: 0.8537\n",
-      "Final validation accuracy: 0.8566\n",
-      "Total epochs trained: 73\n",
+      "Best validation F1 score: 0.8544\n",
+      "Final validation accuracy: 0.8573\n",
+      "Total epochs trained: 85\n",
+      "======================================================================\n",
+      "\n",
+      "======================================================================\n",
+      "DETAILED ACCURACY METRICS\n",
+      "======================================================================\n",
+      "\n",
+      "Overall Accuracy Metrics:\n",
+      "  Top-1 Accuracy: 0.8573 (49443/57671 pitches)\n",
+      "  Top-3 Accuracy: 0.9740 (56174/57671 pitches)\n",
+      "  Top-5 Accuracy: 0.9912 (57164/57671 pitches)\n",
+      "\n",
+      "======================================================================\n",
+      "PER-PITCHER ACCURACY\n",
+      "======================================================================\n",
+      "\n",
+      "Top 10 Most Accurate Pitchers:\n",
+      "Rank   Pitcher Name                   Correct    Total      Accuracy  \n",
+      "----------------------------------------------------------------------\n",
+      "1      Lodolo, Nick                   510        510        1.0000    \n",
+      "2      Sears, JP                      500        500        1.0000    \n",
+      "3      Hendricks, Kyle                514        515        0.9981    \n",
+      "4      Peralta, Freddy                615        617        0.9968    \n",
+      "5      Verlander, Justin              531        537        0.9888    \n",
+      "6      Falter, Bailey                 410        415        0.9880    \n",
+      "7      Holmes, Clay                   560        570        0.9825    \n",
+      "8      Heaney, Andrew                 408        416        0.9808    \n",
+      "9      Liberatore, Matthew            487        497        0.9799    \n",
+      "10     Sale, Chris                    397        406        0.9778    \n",
+      "\n",
+      "Bottom 10 Least Accurate Pitchers:\n",
+      "Rank   Pitcher Name                   Correct    Total      Accuracy  \n",
+      "----------------------------------------------------------------------\n",
+      "1      Giolito, Lucas                 331        474        0.6983    \n",
+      "2      Senzatela, Antonio             341        491        0.6945    \n",
+      "3      Nelson, Ryne                   355        515        0.6893    \n",
+      "4      Martin, Davis                  326        473        0.6892    \n",
+      "5      Cecconi, Slade                 266        413        0.6441    \n",
+      "6      Pfaadt, Brandon                372        611        0.6088    \n",
+      "7      Severino, Luis                 296        546        0.5421    \n",
+      "8      Lorenzen, Michael              258        491        0.5255    \n",
+      "9      Vásquez, Randy                 188        430        0.4372    \n",
+      "10     Smith, Shane                   205        475        0.4316    \n",
+      "\n",
+      "Per-Pitcher Accuracy Statistics:\n",
+      "  Mean:   0.8533\n",
+      "  Median: 0.8698\n",
+      "  Std:    0.1135\n",
+      "  Min:    0.4316\n",
+      "  Max:    1.0000\n",
+      "\n",
+      "✓ Saved per-pitcher accuracy to: outputs/per_pitcher_accuracy.txt\n",
+      "======================================================================\n",
+      "\n",
+      "✓ Saved tuned model to: outputs/model_tuned.pt\n",
+      "✓ Saved best hyperparameters to: outputs/best_hyperparameters.pkl\n",
+      "ℹ Skipping Optuna study save (using pre-saved hyperparameters)\n",
+      "✓ Saved training history to: outputs/training_history.pkl\n",
+      "✓ Saved scaler to: outputs/scaler.pkl\n",
+      "✓ Saved label encoder to: outputs/label_encoder.pkl\n",
+      "✓ Saved model summary to: outputs/model_summary.txt\n",
+      "\n",
+      "======================================================================\n",
+      "ALL ARTIFACTS SAVED SUCCESSFULLY\n",
+      "======================================================================\n",
+      "\n",
+      "Overall Accuracy Metrics:\n",
+      "  Top-1 Accuracy: 0.8573 (49443/57671 pitches)\n",
+      "  Top-3 Accuracy: 0.9740 (56174/57671 pitches)\n",
+      "  Top-5 Accuracy: 0.9912 (57164/57671 pitches)\n",
+      "\n",
+      "======================================================================\n",
+      "PER-PITCHER ACCURACY\n",
+      "======================================================================\n",
+      "\n",
+      "Top 10 Most Accurate Pitchers:\n",
+      "Rank   Pitcher Name                   Correct    Total      Accuracy  \n",
+      "----------------------------------------------------------------------\n",
+      "1      Lodolo, Nick                   510        510        1.0000    \n",
+      "2      Sears, JP                      500        500        1.0000    \n",
+      "3      Hendricks, Kyle                514        515        0.9981    \n",
+      "4      Peralta, Freddy                615        617        0.9968    \n",
+      "5      Verlander, Justin              531        537        0.9888    \n",
+      "6      Falter, Bailey                 410        415        0.9880    \n",
+      "7      Holmes, Clay                   560        570        0.9825    \n",
+      "8      Heaney, Andrew                 408        416        0.9808    \n",
+      "9      Liberatore, Matthew            487        497        0.9799    \n",
+      "10     Sale, Chris                    397        406        0.9778    \n",
+      "\n",
+      "Bottom 10 Least Accurate Pitchers:\n",
+      "Rank   Pitcher Name                   Correct    Total      Accuracy  \n",
+      "----------------------------------------------------------------------\n",
+      "1      Giolito, Lucas                 331        474        0.6983    \n",
+      "2      Senzatela, Antonio             341        491        0.6945    \n",
+      "3      Nelson, Ryne                   355        515        0.6893    \n",
+      "4      Martin, Davis                  326        473        0.6892    \n",
+      "5      Cecconi, Slade                 266        413        0.6441    \n",
+      "6      Pfaadt, Brandon                372        611        0.6088    \n",
+      "7      Severino, Luis                 296        546        0.5421    \n",
+      "8      Lorenzen, Michael              258        491        0.5255    \n",
+      "9      Vásquez, Randy                 188        430        0.4372    \n",
+      "10     Smith, Shane                   205        475        0.4316    \n",
+      "\n",
+      "Per-Pitcher Accuracy Statistics:\n",
+      "  Mean:   0.8533\n",
+      "  Median: 0.8698\n",
+      "  Std:    0.1135\n",
+      "  Min:    0.4316\n",
+      "  Max:    1.0000\n",
+      "\n",
+      "✓ Saved per-pitcher accuracy to: outputs/per_pitcher_accuracy.txt\n",
       "======================================================================\n",
       "\n",
       "✓ Saved tuned model to: outputs/model_tuned.pt\n",
@@ -245011,6 +244409,117 @@
     "print(f\"Total epochs trained: {len(train_losses_tuned)}\")\n",
     "print(\"=\"*70)\n",
     "\n",
+    "# ============================================================================\n",
+    "# DETAILED ACCURACY ANALYSIS\n",
+    "# ============================================================================\n",
+    "print(\"\\n\" + \"=\"*70)\n",
+    "print(\"DETAILED ACCURACY METRICS\")\n",
+    "print(\"=\"*70)\n",
+    "\n",
+    "# Get final predictions with top-k probabilities\n",
+    "model_tuned.eval()\n",
+    "all_preds_final = []\n",
+    "all_probs_final = []\n",
+    "all_targets_final = []\n",
+    "\n",
+    "with torch.no_grad():\n",
+    "    for X_batch, y_batch in val_dl_final:\n",
+    "        logits = model_tuned(X_batch)\n",
+    "        probs = torch.softmax(logits, dim=1)\n",
+    "        \n",
+    "        all_probs_final.append(probs.numpy())\n",
+    "        all_preds_final.append(logits.argmax(dim=1).numpy())\n",
+    "        all_targets_final.append(y_batch.numpy())\n",
+    "\n",
+    "all_probs_final = np.concatenate(all_probs_final)\n",
+    "all_preds_final = np.concatenate(all_preds_final)\n",
+    "all_targets_final = np.concatenate(all_targets_final)\n",
+    "\n",
+    "# Top-1, Top-3, Top-5 Accuracy\n",
+    "top1_correct = (all_preds_final == all_targets_final).sum()\n",
+    "top1_accuracy = top1_correct / len(all_targets_final)\n",
+    "\n",
+    "# Top-3 accuracy: check if true label is in top 3 predictions\n",
+    "top3_preds = np.argsort(all_probs_final, axis=1)[:, -3:]  # Get top 3 predictions\n",
+    "top3_correct = np.array([all_targets_final[i] in top3_preds[i] for i in range(len(all_targets_final))]).sum()\n",
+    "top3_accuracy = top3_correct / len(all_targets_final)\n",
+    "\n",
+    "# Top-5 accuracy: check if true label is in top 5 predictions\n",
+    "top5_preds = np.argsort(all_probs_final, axis=1)[:, -5:]  # Get top 5 predictions\n",
+    "top5_correct = np.array([all_targets_final[i] in top5_preds[i] for i in range(len(all_targets_final))]).sum()\n",
+    "top5_accuracy = top5_correct / len(all_targets_final)\n",
+    "\n",
+    "print(f\"\\nOverall Accuracy Metrics:\")\n",
+    "print(f\"  Top-1 Accuracy: {top1_accuracy:.4f} ({top1_correct}/{len(all_targets_final)} pitches)\")\n",
+    "print(f\"  Top-3 Accuracy: {top3_accuracy:.4f} ({top3_correct}/{len(all_targets_final)} pitches)\")\n",
+    "print(f\"  Top-5 Accuracy: {top5_accuracy:.4f} ({top5_correct}/{len(all_targets_final)} pitches)\")\n",
+    "\n",
+    "# Per-pitcher accuracy\n",
+    "print(f\"\\n\" + \"=\"*70)\n",
+    "print(\"PER-PITCHER ACCURACY\")\n",
+    "print(\"=\"*70)\n",
+    "\n",
+    "pitcher_stats = []\n",
+    "for pitcher_id in range(len(le.classes_)):\n",
+    "    mask = (all_targets_final == pitcher_id)\n",
+    "    if mask.sum() > 0:\n",
+    "        pitcher_correct = (all_preds_final[mask] == pitcher_id).sum()\n",
+    "        pitcher_total = mask.sum()\n",
+    "        pitcher_accuracy = pitcher_correct / pitcher_total\n",
+    "        \n",
+    "        pitcher_stats.append({\n",
+    "            'pitcher_id': pitcher_id,\n",
+    "            'pitcher_name': le.classes_[pitcher_id],\n",
+    "            'correct': int(pitcher_correct),\n",
+    "            'total': int(pitcher_total),\n",
+    "            'accuracy': pitcher_accuracy\n",
+    "        })\n",
+    "\n",
+    "# Sort by accuracy\n",
+    "pitcher_stats.sort(key=lambda x: x['accuracy'], reverse=True)\n",
+    "\n",
+    "# Show top 10 and bottom 10\n",
+    "print(f\"\\nTop 10 Most Accurate Pitchers:\")\n",
+    "print(f\"{'Rank':<6} {'Pitcher Name':<30} {'Correct':<10} {'Total':<10} {'Accuracy':<10}\")\n",
+    "print(\"-\" * 70)\n",
+    "for i, stats in enumerate(pitcher_stats[:10], 1):\n",
+    "    print(f\"{i:<6} {stats['pitcher_name']:<30} {stats['correct']:<10} {stats['total']:<10} {stats['accuracy']:<10.4f}\")\n",
+    "\n",
+    "print(f\"\\nBottom 10 Least Accurate Pitchers:\")\n",
+    "print(f\"{'Rank':<6} {'Pitcher Name':<30} {'Correct':<10} {'Total':<10} {'Accuracy':<10}\")\n",
+    "print(\"-\" * 70)\n",
+    "for i, stats in enumerate(pitcher_stats[-10:], 1):\n",
+    "    print(f\"{i:<6} {stats['pitcher_name']:<30} {stats['correct']:<10} {stats['total']:<10} {stats['accuracy']:<10.4f}\")\n",
+    "\n",
+    "# Summary statistics\n",
+    "accuracies = [s['accuracy'] for s in pitcher_stats]\n",
+    "print(f\"\\nPer-Pitcher Accuracy Statistics:\")\n",
+    "print(f\"  Mean:   {np.mean(accuracies):.4f}\")\n",
+    "print(f\"  Median: {np.median(accuracies):.4f}\")\n",
+    "print(f\"  Std:    {np.std(accuracies):.4f}\")\n",
+    "print(f\"  Min:    {np.min(accuracies):.4f}\")\n",
+    "print(f\"  Max:    {np.max(accuracies):.4f}\")\n",
+    "\n",
+    "# Save per-pitcher accuracy to file\n",
+    "with open('outputs/per_pitcher_accuracy.txt', 'w') as f:\n",
+    "    f.write(\"PER-PITCHER ACCURACY REPORT\\n\")\n",
+    "    f.write(\"=\"*70 + \"\\n\\n\")\n",
+    "    f.write(f\"Overall Metrics:\\n\")\n",
+    "    f.write(f\"  Top-1 Accuracy: {top1_accuracy:.4f}\\n\")\n",
+    "    f.write(f\"  Top-3 Accuracy: {top3_accuracy:.4f}\\n\")\n",
+    "    f.write(f\"  Top-5 Accuracy: {top5_accuracy:.4f}\\n\\n\")\n",
+    "    f.write(f\"Per-Pitcher Statistics:\\n\")\n",
+    "    f.write(f\"  Mean:   {np.mean(accuracies):.4f}\\n\")\n",
+    "    f.write(f\"  Median: {np.median(accuracies):.4f}\\n\")\n",
+    "    f.write(f\"  Std:    {np.std(accuracies):.4f}\\n\\n\")\n",
+    "    f.write(f\"{'Rank':<6} {'Pitcher Name':<30} {'Correct':<10} {'Total':<10} {'Accuracy':<10}\\n\")\n",
+    "    f.write(\"-\" * 70 + \"\\n\")\n",
+    "    for i, stats in enumerate(pitcher_stats, 1):\n",
+    "        f.write(f\"{i:<6} {stats['pitcher_name']:<30} {stats['correct']:<10} {stats['total']:<10} {stats['accuracy']:<10.4f}\\n\")\n",
+    "\n",
+    "print(f\"\\n✓ Saved per-pitcher accuracy to: outputs/per_pitcher_accuracy.txt\")\n",
+    "print(\"=\"*70)\n",
+    "\n",
     "# Save everything\n",
     "os.makedirs('outputs', exist_ok=True)\n",
     "\n",
@@ -245076,7 +244585,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 16,
    "id": "e5380749",
    "metadata": {},
    "outputs": [
@@ -245127,7 +244636,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 17,
    "id": "cef111b8",
    "metadata": {},
    "outputs": [
@@ -245190,7 +244699,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 18,
    "id": "3cd44029",
    "metadata": {},
    "outputs": [
@@ -245215,7 +244724,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c37b653a8d8d46d5af51d616bd88a980",
+       "model_id": "9b6d6d2b24ab4005898a96f89792ccb2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -245291,7 +244800,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 19,
    "id": "1ecfeee7",
    "metadata": {},
    "outputs": [
@@ -245313,42 +244822,42 @@
       "======================================================================\n",
       "Rank   Feature                        Mean |SHAP|    \n",
       "----------------------------------------------------------------------\n",
-      "1      release_pos_z                  0.008928       \n",
-      "2      release_pos_x                  0.008920       \n",
-      "3      release_speed                  0.006990       \n",
-      "4      spin_axis                      0.006870       \n",
-      "5      pfx_z                          0.005163       \n",
-      "6      pfx_x                          0.004859       \n",
-      "7      pitch_type_FF                  0.002982       \n",
-      "8      pitch_type_CH                  0.002001       \n",
-      "9      pitch_type_SL                  0.001860       \n",
-      "10     pitch_type_SI                  0.001857       \n",
-      "11     pitch_type_KC                  0.001218       \n",
-      "12     pitch_type_CU                  0.001076       \n",
-      "13     pitch_type_FC                  0.001048       \n",
-      "14     pitch_type_ST                  0.000933       \n",
-      "15     pitch_type_FS                  0.000776       \n",
-      "16     plate_z                        0.000556       \n",
-      "17     plate_x                        0.000446       \n",
-      "18     matchup                        0.000427       \n",
-      "19     count_0-0                      0.000295       \n",
-      "20     count_0-1                      0.000146       \n",
+      "1      release_pos_x                  0.009048       \n",
+      "2      release_pos_z                  0.008815       \n",
+      "3      release_speed                  0.006917       \n",
+      "4      spin_axis                      0.006827       \n",
+      "5      pfx_z                          0.005120       \n",
+      "6      pfx_x                          0.004851       \n",
+      "7      pitch_type_FF                  0.003021       \n",
+      "8      pitch_type_CH                  0.001940       \n",
+      "9      pitch_type_SI                  0.001898       \n",
+      "10     pitch_type_SL                  0.001880       \n",
+      "11     pitch_type_KC                  0.001239       \n",
+      "12     pitch_type_CU                  0.001126       \n",
+      "13     pitch_type_FC                  0.001001       \n",
+      "14     pitch_type_ST                  0.000936       \n",
+      "15     pitch_type_FS                  0.000758       \n",
+      "16     plate_z                        0.000537       \n",
+      "17     plate_x                        0.000481       \n",
+      "18     matchup                        0.000404       \n",
+      "19     count_0-0                      0.000191       \n",
+      "20     count_0-1                      0.000152       \n",
       "\n",
       "======================================================================\n",
       "BOTTOM 10 LEAST IMPORTANT FEATURES\n",
       "======================================================================\n",
       "Rank   Feature                        Mean |SHAP|    \n",
       "----------------------------------------------------------------------\n",
-      "23     count_1-2                      0.000135       \n",
-      "24     count_1-1                      0.000124       \n",
-      "25     count_2-1                      0.000104       \n",
-      "26     count_2-0                      0.000103       \n",
-      "27     count_0-2                      0.000102       \n",
-      "28     count_3-2                      0.000100       \n",
-      "29     count_3-1                      0.000077       \n",
-      "30     pitch_type_other               0.000074       \n",
-      "31     pitch_type_SV                  0.000029       \n",
-      "32     count_3-0                      0.000016       \n"
+      "23     count_1-2                      0.000128       \n",
+      "24     count_2-0                      0.000112       \n",
+      "25     count_1-0                      0.000111       \n",
+      "26     count_3-2                      0.000105       \n",
+      "27     count_0-2                      0.000103       \n",
+      "28     count_2-1                      0.000088       \n",
+      "29     count_3-1                      0.000074       \n",
+      "30     pitch_type_other               0.000073       \n",
+      "31     pitch_type_SV                  0.000028       \n",
+      "32     count_3-0                      0.000014       \n"
      ]
     }
    ],
@@ -245406,7 +244915,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 20,
    "id": "ec0d84a4",
    "metadata": {},
    "outputs": [
@@ -245425,15 +244934,15 @@
       "Release Point              0.0248          0.0083             3\n",
       "Pitch Type                 0.0139          0.0013            11\n",
       "Movement                   0.0100          0.0050             2\n",
-      "Spin                       0.0069          0.0069             1\n",
-      "Count Situation            0.0015          0.0001            12\n",
+      "Spin                       0.0068          0.0068             1\n",
+      "Count Situation            0.0013          0.0001            12\n",
       "Location                   0.0010          0.0005             2\n",
       "Matchup                    0.0004          0.0004             1\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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suOKKlZdeeqlSRm31+YpriBFALbu2KJ8nn3yysvLKK+fv6Dh/Bg4cWLntttvG8jtt37rEPw1lagAAAAAAALS1cg4gCQAAAAAAIJABAAAAAACUmYwMAAAAAACgtAQyAAAAAACA0hLIAAAAAAAASksgAwAAAAAAKC2BDAAAAAAAoLQEMgAAAAAAgNISyADogGaYYYbUpUuXfAMAAACA9kwgA2AMggSjut1///3N3u5NN92UjjzyyHx77733xulx+frrr9N+++2XZp111tSjR4/Uu3fv/D5XXnnldPDBB6cff/yxuuzFF19cfX+DBg0aaVvbbLNN9fl4Lw3ZZZdd6pTT8ccf3+BytdsqbuONN17q27dvWmGFFdINN9zQrPcX+1msH/vfkTz33HPV86Yl5xsAQFtobj2Qxr3yyitp8803T/3790/dunXLdePZZ589bbDBBunss89uUd28tm3TWF1yjjnmqHPMhgwZ0ux2UuzfNNNMkzbZZJP07LPPNuuw1q4/rttFY1tbtvk6u9o2YUO3ddddd6zvQxzz4vjHuQC0TNcWLg/AWBIVmUsuuaRayYqGwLjwv//9Ly211FK5QVQYPnx4+uGHH9L777+f7rrrrrTbbruliSaaqFVe79dff03XXXddnceuuuqqdOCBBzZr/UqlkgMv9957b74NHjw4HX744amzikBGlEGhoeASAEAZjGk9kJRefvnlNHDgwFxXL0TdOG5vvPFGev7559Mee+zRakUVwYfXX399pGMW+9Acv/32W/rkk0/SNddck2688cZ02223pRVXXLHTHsq2avNRDhHIKNpuW2+99TgJnkBHIpAB0ELR+Pr555+rf2+00Ubps88+y/fPPPPMtOCCC1afm3feeUtfvpdffnk1iLHQQgulv/zlL2nyySdPH3zwQW641G9sjqkIjAwbNqzOY9Hgeu2113Jvr8Zsu+22abvttsvZIeeee266+eab8+NHHXVU2nHHHdPUU0+dOpMoh9YKLgEAjAujWw8cF9pL3erYY4+tBjE23njjtOWWW6auXbumd999Nz388MPppZdeatXXu/LKK0d67Nprr02nnnpqzpRuTNEu+vzzz3Ono2hvRCBr7733bvV9bA/ay/nVWco4Rh1YbbXV6jw22WSTpY7C+UZHZWgpgBZaZJFFcgZDcYuhmGoDF7XPRYrqIYcckuacc87Us2fPPGTTYostlv7+97/nzIKiV0YsV/TMCcstt9xIKd6Rdh+9dgYMGJC3NeGEE6a55porHXrooemnn34a7eP4zDPPVO9HimukfcewTRE4iAZIZGVMNdVUrXaeRA+uwqabbtrg4w2Zbrrpcpmussoqedkog6KXV2Pp7S1JL3766afTH//4x3yM4v1GWcQxeuGFF/LxiNeLfYgyqVU71FasE4GhueeeO00wwQT5+PzrX/8a6XW/++67UZ4XhWLb0VvrxRdfTCuttFLq1atXWmONNfJjcZwK0bun/tAB0etr7bXXTjPOOGN+ne7du6fpp58+r1c/nb126IH//ve/udEZ51u8lyWXXDJfaKjv1VdfzevFNuOzMMUUU6Tll18+3XPPPXWWe+ihh/J+xPOxD7E/++67b+49CAB0Ds2pB8bQoUV9ZK+99qqz/qOPPlp9Li7iF+LCftR95plnnly3mnjiiXM97/bbb6+zflHvLoZIffDBB9Piiy+e19l9993zMhdccMH/196ZAPtY/X/8m63IWpOlEmEKZYmUqdBvKiRlbCENhWyFaJBKRCpG2S+VpbFUEso2RGOvQVMRisQoTYtIyR7f/7zOzHn+5/vc5/lu98q95v2aeca953vuc85zznm+3p+zfD5Gb6L7mBRFB+F+tVevXpE//vgj0zOx6Ydyyce/nDygLmFuTdGW7dq1M5tw0ES4XerSpUvkwIEDKWv3qVOnRpo2bRpp3LhxpEePHpE5c+ZEPv/880h2gS6dO3eu+Znna9asmfmZExa0XTysXYS7q4yMjJgTJenqP1cX047169c3NhGLYHbzFf+ixdGlNWrUMCe4w/QuC2uDBw82fcAY4H5u+1r27NljtHPZsmVNnzHh3aRJk0x6F7vN3ptyGMs1a9Y0dWF8ZbfN57ryYmMdi1olSpQwmh+b7vDhw5meZfny5abuVpPz7K1atTI2n9vvM2bMMPqfd4l60Jbjxo2LnDt3LmE/+d+zLVu2RBo0aGCeBXdotDk2nEsqZbrPzeY7xlixYsXM+5csvNOu3c6FbebCxjlOD9Gm9CHu27C38Gjgkqy9RVvQ5xbGgjtebJ4gt2ph3ynJtMXBgweN3WXdSPM82JLp2tBCXFCiQgghskS5cuWYeTbX6tWrvfTDhw9HK1eu7H3mv9q2bWvy7du3LzSPe88bb7wxNM///ve/0Dolon///l7eO++8M/rJJ59Ejx07Fpp/xowZXv4GDRpk+rxjx47e50OGDIn57MSJE9EiRYqYz6666qror7/+Gs2XL5/5nedL5V7Fixf3Pnv//ffjPiP1tHmpf1B6xYoVM7Vrr169Ysqx18qVKwPbI6yP3n333ZTHhcWmFytWLHrllVfGtL3bz/7Ltle3bt1C85QqVSr622+/BbZ3hQoVMuUvX7589MyZM17+5cuXRwsWLBi3fHj77bejefLkCcxHm9EmQgghhLi4SVYHnjx50tNf1157bfTcuXPeZ3379vU0xMcff2zSjhw5Eq1WrVqo3pk0aZL3967uvvrqq6OXXXaZ9zs6CBo1ahR6rypVqpjnsMyfPz96ySWXZMpXo0aNQO25bNmy6KWXXhp479KlS0f37t2bsB3r1Knj/U2nTp2iW7ZsidFnqejpeLYMbNiwwfusefPm0Y8++sj7vWvXrknf66uvvop5Vvo+Hm5e+syfzvhwdTEX/fDCCy9kalfGnKs13fYI0u5FixaN7tq1y8u/adMmb9z6L8rMyMjw8vLM9rPrr78+Zmy45Z4Pmy9Iu7dv3z4m/0svvZSwfOjQoUNovjZt2kQT4b5nvMOXX355pvtgo7ikUmbYc5Oejk0YxODBg0PrU69eveipU6e8vMnaW275/st+/7h53LHPuxtU90RtsX//ftMHQWXmz5/f+x4VIreghQwhhMgiYYK9e/fuXjrG1YIFC6JTp06NlihRImYCHmNt/fr10fvvv99LHz9+vEnjwjiDMWPGRGfNmmUMoDVr1kQXLVoUbdKkifc3GzduDKxTIlasWJFJ1OTNmzdau3bt6NChQ6MHDx6Mye9O3Ce6/MbSvHnzvM+eeOIJk3bvvfd6aV9++WVCw+uff/6JvvLKKzHl7NixI8sLGSVLloy+9957me7NosPChQujPXr08NJatWoV2h59+vSJLl26NProo4/GGKanT59OaVxY3HtTx7feesv0GWMBw/W5557zPn/88ce9cYNotQb2m2++GV28eLEZNyw+PPPMM97fjBgxIrC9EbYjR4409StbtqyXvmTJEpOXxS7q4wr6uXPnmnHZr1+/6KhRo0y+AwcOeAY7RuCECRNM/amr/VvaRAghhBAXN6nowC5dunjpn332mZd+3XXXmTQmsa22evLJJ728aGN02MyZM43+Iq1AgQLRH3/8MXADUaVKlaKzZ882+hq9B9OnTzcX90E78a87yTpnzhyT799//43RSK1btzZ5e/fuHVOG1Z5oJxZwSGMBBw3GBqIBAwZ4eRs3bpywHQcNGpRJcxcqVMi0JTrRtosl0QS6e/kXMty25bndxSj6wL+AEmQXMYnLIoirZ93FqSASLWRw1a1b1+hONgG56c2aNTN69a677vLSJk6cGNgetNu4cePMAs2tt97qpbdo0cLkpZ5Vq1aNsQHoYya57SYdd3y5CxlcLDox7rk/Gvx82nxlypQxY5mFFepkbTp7X+wGt26dO3c29gH2D2N37dq1md5TFlX4nHy0d5CtEoT/PWvYsKG5x/Dhw02dbPrWrVvTKtN9bhZJ3njjDfMuYfPEI95Cgvuubt68OaZdp02bZvrvgQce8NJfe+01777J2lvbtm0zfW7TGQu2/3fv3p3lhYygtnDrzPcYdZs8eXK0cOHC3nuMfS1EbkELGUIIkUWCBPvZs2djJqa/+eYbLz8Tua7QDhLVfiMCtm/fboQ6OyqYZPYLL0R4UJ2SYeDAgYG7ybgwuPbs2ZMtCxktW7b0PmMyG6ZMmeKlYcilanhhGCUimYUMDD+LFXZcn376qUljQcem1axZM7A9ONFiwbi1xjbXunXr0hoX7rMiSv245Qftsjt06JBZWMAoCDo94baf294syFgQ6jZ97NixJg1j391xxoJcEBhjQQsttAfGoz1tQtsIIYQQ4uIlFR3oTgijY+zOeP8mCFdbMXm7atUqT2v07NnTyz969OhME6xMRH/33XeZ6smkNAst6Jug0xOcCvHXx920Au4ErNWernZyJzC5OPVKOnrcv4nIz99//x297777QrXx7bffHlOXdBcy0LLsJieddqBccBcOmGx3iXdaOMhmCSOZhQw78etO0KMtbT3dyfGnn346sD2ef/55L5372XRO6tCGLK6F9bE7ntG7/nGLPYEO93O+bD67EAcsiNn0r7/+2qSh7W1au3btQtseOyRooYUT1ja9adOmcfvPfc/oE7uYApwSsZ8NGzYsrTLd53ZtuEQku5DhthWbxmx9WKiw6TfffHNa9pY7RuwpjLA6prqQ4W8L6mVtfMav+53jLi5++OGHSbehEBcaBfsWQojzAH4ore9XfIG6Pipvu+027+fdu3cndT98lt5xxx0mtkIYR44cSbu++GIlPgQ+fYmNQLwI67eUZ8GPaVCsB3y+TpgwIVMAQr8/Yjh69Ghk6dKl5ucrrrjCxFGAFi1aGJ+xZ8+eNT54qQs+PhOBz+LOnTtHXn311Uh24PYLfkNtEEViogAB0BO1NXEuLHnz5o3Url3b+CqFvXv3Rm644Ya0xwV+iYmPkQq0KX5dCdoeRtiz4Mc2KPCdze/WkTLcWDEubj783nL5+euvv4yvZXwBCyGEEOLiI1UdiA4hHsFPP/0UmT9/fuT111/3YiAAuhWIWWG11enTp40mCYKYXn7wF4/Pe3890dzx4lVYLYS2s9SqVSuSP39+73fibvj9z7uaCK0cpJeZqyfwOf76w8AH/4oVK0zsB9qG2Aru823atMnora5du2b6W3z2d+rUKSatdevWJr6CH+5PoG5o2LChKdfmtzFNCATuD5gcBrERiBHXs2fPSFYpXry46T87niz0p61nqtqd+2EDMJ5OnjxptKnbZ/4+RrvT/mHanVgPbt3Ot82XinYnrkoYbr7evXsn/T6FQfwSYja47UYsF/cdykqZDz74YCQdgoJ9Y6v564Nty+WH9zSr9lZ2428LYrvY+Iu84/Xq1ctyfwpxodFChhBCnGf8k/LJTNL7IRCYFbQYRgMHDjQCdfHixZFRo0aZ9GQCr8WDSXWuYcOGmYllDI1JkyaZz4KC3gGi1G9olSxZMjAvQdAwCoDAc64h4Ip3AhQi4MMMrzx58phyEZpB90gXV2BThoVgc378AbnDiNfXqY6LsHaNx8aNGz1RTUBJJgcIQvfzzz+bIJPxxg2GnCVfvnwpP3uqHDt27LzcVwghhBAXnlR1ILrokUceiYwcOdKkEyzYThqjZYK0Yqo6o1SpUpnSFi5c6C1iMAFLYF8m4L/44otI3759Q7VTOvo+lboGlXfPPfeYCwgKTKDnDRs2xNXuBDD3a/ewzShuAHZsjqBnJBgy/cqGGz/jx4+P3HLLLUZHEli6QoUK2dZOqej27NLuqeYNGl/n0+b7L7V7VnR7umMgrMx02tkN9p0ubPo7deqUWThM195K1D4sklhYtE1Eum0hO0zkJv7/G18IIUS2gVhnp5AVBjt27PA+Q+z4d334Rbhf7CCE3N0jzZo1M8KLBYessnnz5kzCCOPA3cXliqh0YcdWMrhGU5DhheF60003ZesiRnZBW7pthtFrwXhLZ1wkEv3JjhsmAzp06BC6EydV3DquWrXK7IJMlG/IkCHGmPJftIV/R6QQQgghLh7S0YHt27f3fmaDjd29jaaxuohd93YCt3DhwuZEhV9noMmCToQGaStXO3FS5OGHHzb60y7CuFSsWNH7mYlMVy+zIBNPE3Xs2DFUEzVq1ChuGwXprvLly5uTEtml3bn/ggULEuZj0n3ZsmWBn1WrVs20Xd26dU1bZediz/nQ7uxeZ5ENWJhhAcvtM/rYnlj/L7R7dtt8bh3t6ahE+VavXh04Tn/44Yeky921a1fMCRO33bCPslrm+RhXbn347gh7V1kETNXeitf//kU6e1KKfCtXrkxYb39bVKpUyUvjHWT8+p+Dd52NjELkFnQiQwghzgMIlLZt20amTJniGWJM4nJUmX8tdpeGfxfN7NmzjWsiLsRruXLlYnY3FShQwIjAadOmZbmuixYtiowZMybSvHlzs6uLshDLY8eO9fLUqVMnS2UcOnTIE18c9/Yfz0VAPfPMM+bnefPmmbJdkZdbYBdcv379jAsoDHHrVordMRhx6YyLRLjjZvny5ZH69esb4wvj0R037GJkLFHWs88+m+VnxcUAp0R+//33yL59+8zvTz31lCmbdmD3WP/+/SOtWrUy5bFjybqLYIfZ8ePHzd9hrJw4cSIpcS6EEEKI3Ee6OhAtU7169ci2bdtidIJ1KwXkQzdlZGQYt6DoEVzTsMDByYrt27ebCfnp06dH7r777oR1dbUTf8NEKxPcL7/8cqa8uBqy7q9wQ8QEJtoOt09+t1KAPmRTC25bZ86cadwOkcaiAycqOEm7devWyM6dO+PWcejQoWZSt02bNsZ9Ec/KqRXcb2WXdsftlXWHw3NyMtqFzThWz7JIhYuw3Ag2EDqdDVMjRozw0nE5xKYp3OhWqVLFuN755ZdfTP8+9thjxg7j9A5gl7Vs2TLpMi+UzUfdx40bZ37GZTBuelkoYUKekzXdunUzdgT5+B045cMiIqcXGLfff/+9WQShfVzbJR7cn7GKncD4dhcrKd/WLTvLzCosSNi24iQWC1x8F/FO8O7hipm+4jsiVXvL7X9sJt41vhdZPMG2YvHB0qtXr0iXLl0iS5YsSdoltQvfMbQbi43U+6GHHjKumSmP7wwW5/h+ZOGVxVAhcgUXOkiHEEJcjMG+bXCtypUrhwYTI4jbuXPnvPxu8DD3gv3793uBkd2L4NJBgZ5TCfZNkLt4Qc8IVOcGpXaDSxOMLF4AO1snN5AjgfGCIIC2zUOgxrB7pUMywb7dYGph7WfT+DyoPapVqxbYhrNmzUp7XASV6UJAyKBAlIxFgjRWr1497rhx+zAs+GBYQHECPAaV7c9HoD4CaoY9c9A4EkIIIcTFQbo6EEaOHBmjGWrVqpXpb//8889QDebXNW4Q4iD9QaDoMmXKxNVOboDe+fPne8F03cutj6s9ly5dGqqd4uk9F7cuQVfVqlWjx48f9/In0tNBtowb0HvChAmZ/gY9mzdvXvM5wY2PHj0aeq90SBTs222nsD4NC6rstkeQTsb2+fbbb738BHUvUqRIYFvT9xkZGQnLdPkvbL4wTf/iiy8mfEegQ4cOccdYIrvM7RPqWLRo0Uz36NKlS8zfpFJmKrZuMjZhEIMHD45bH9u/qdpbZ86cMYG3/fltfXbu3BloN7n2Y1iw7yAYUwSOj/cs7jsmRE4n9213FUKIXAI7INiNNWjQIOM2h6On7Hxhh9TkyZPNThj3+CdB10aPHm2Ofbp+TYFdQuz8IDhawYIFTR52nrFDI6t0797dBOwmOBg7QdihwQ4kymRHDD6J3aDUWXUnwE6QRMHJwtxL5XTYjUagSlxfsYOKfp81a1bMzsFUx0Ui2IWH32l8EDM2XNjdxQ4mdjtxTJldgH369IlMnTo1W56XHT4EhmecEKibccNJDHY8ukeqGafr1q0z7cOuN8Y3/zKeCSTPWBZCCCHExUlWdCA7o91Tuq6msuC2kx3Fw4cPj9SoUcPooUKFCpkd3ZwMpXxOxiYDOpjTHwQjx1XVNddcY9yuhLleQdt88MEHkapVqxrtx+59tJyNXQHUxdKkSRPjetTVTmg5dv5zqpcTKYmYOHGiid1BcGd2g3Malmem7AEDBpiTHX5NmArsoOfEdrw+Q8/aOCWcrLW76XMbnGLhhAv9jCZnNz2nhYmPYkGvondxB0Y+dCy76hs3bmzssx49eqRU5oWy+YBxg21A3dHsjD9caDGOievgxurg1BBjDBuCsU3dGNecFEklYDs7/deuXWvsA56pdOnSxm0Wdo9LdpaZHfDOcxLCbSv6nzHCKXPaMh17iz7n/eI+NjC9C+8xwdA5mUEbYIfzHcOplnSgDTl5wUl5xjXfF5TLz5wioy6cLBMit3AJqxkXuhJCCCFEbuWdd97xjttz3BljSAghhBBCXPwwnRK0AYWFExsLgMDbbDgROQNcQzFpDixaJONyTKQGrtLswggLE2vWrFETCiGyBZ3IEEIIIYQQQgghhEiR9evXmxgdxMXA5zwxAAgSbhcxOH3LKREhhBBCZB0F+xZCCCGEEEIIIYRIkXPnzhlXWEFuUXHfwsld1zWWEEIIIdJH/6MKIYQQQgghhBBCpEiFChVM3A5iGRALgzgL+LYnbgKnM5KNzSGEEEKIxChGhhBCCCGEEEIIIYQQQgghciw6kSGEEEIIIYQQQgghhBBCiByLFjKEEEIIIYQQQgghhBBCCJFj0UKGEEIIIYQQQgghhBBCCCFyLFrIEEIIIYQQQgghhBBCCCFEjkULGUIIIYQQQgghhBBCCCGEyLFoIUMIIYQQQgghhBBCCCGEEDkWLWQIIYQQQgghhBBCCCGEECLHooUMIYQQQgghhBBCCCGEEELkWLSQIYQQQgghhBBCCCGEEEKISE7l/wD5gpPtj3FDzAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1600x600 with 2 Axes>"
       ]
@@ -245527,13 +245036,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 21,
    "id": "4dd390b1",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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GQjQB0UZbxUZNUCtLsYpYpRIrDYLgP2CvjU0Qi4RnYI5x3d3TMxe9vM8HXnzR89ydmd2wc7/5zrt37+58v1bpMcbKyKxa+zAd/3FCVJIahRVQkqSGwjbbVHrwAJeGdedhIik+iFPdQWVKd3d3WCrBxA/LsXg/Apn5Gu3t7YWHcj5p/vz5c93OJZ20IBg6W7VBVQ0P5jyEEHDMhEG2oubDhw/hPHldXH7HAzKTTqCNCFtmMo1KKCZyqHaJqP7iIY0g6y9fvoTvEebLwznnz9e8iYw8aTjuyspKeKjiYYn2zZNWEhwdHYUlNhwrD29UGhFMfnBwEPpqZGQkLEnj55w3D6QsoaGiiK3ei1DBQmjz6OhoWHZIP1MBtbq6WnlNGgpci6urq0rFBMeXXerJRFmsbKMf+dvpg/GfwAM4Y4jgZMTgYqqbBgcHK69Lxzn9wsM/fcQW9g9FZSDHzwM9k6OEdnPeVA3mYTydnZ1VliPNzs6GsUiYM0tgCXOmfahCKUKVCcu2CIp+SJh7Ea4HrmnGfVwOydJUllARts37//z5M/Rn2lacJ9cryx3TkPKi8cwkINcvkwxMnvFfen0QsM19iAngapNveWh/rsf19fUwqUy4PoHY/D0q3M7Pz8P1QR/Haq3nNjExEZaUMtkZNxqIAfmxbz59+hQmnDh27j2E1hP8z1iJEy49PT0P/pv0Cf0aJ5lYTshEIGHq9G9cKrewsBAmGXd2dv5IsDeVuXHM828PHyBwn2Fyi9B17lu19mE6/vv7+598rJL0Vz13CJUkSQ8NIS+TBsem28jPz8+XhhPHEGWCnAk0z/48DfZOg4UfGyicF0Abg8azwd8RYb7x5wMDA/fCgdl6PG87+aWlpcp7sGV90bm3tbWFbcBj6HdnZ2fha8fGxkI4era90+BiwoIJRs/+7ps3b3JDq29vb++EC2cDzC8uLn61t7eX9l8Mxi4yNzdX+vutra132j7tv2pB0rF/06DxNDw51dvbW3kNYcNF7/UUp6en984vDcjH9fV12Ea+bJynfZQXQo7x8fHSfk7Hxc3NTek4TPu8TBqI/+PHjzs/e0xbEoCdd93k9fvw8HBpW6Xnibdv3957fTyey8vLMN7K2q0ohDxvnLM5AeHoZe2a3ptqDSFPx0PR/a1oA4I0BDzv/somEOn9em1trXDDgFevXv06Pj6u+jdT09PThf27u7t772ctLS13+jC2X1nAfF7QOffCoaGhwn55Sh92dXWF7/f19ZX2rSS9RC7BkyT901iitb+/HyqCCGNmadPr169DtREVEGTggMoGlkrwaTyfkLMsbWpqqmlra6sux3V4eBiCjmNFSRr8HbEkhJwrUN2U3Y6bqiYqfAjopeqJT/SXl5fvVBd8/PgxVMawjI2KJCpJOH+qUqg6isuCCBcmrJxt1Vl+xPux5IlP7Tc2NkKGVLUcFtqWqg8qSpqbm0OVC+3LluR5OBaOn76ggiaLqhE+7Z+ZmQl5RbQFr+P/WSLJ7xJKX2ZycjJUPhDiTGUVv89x8t7v379vOjk5yW37WivZqNSqFiJdtAzvqRgH9F2KyrYU5091DyHpjAfGAtdItaWMWbQpweeMEcYQ/cGYzsNYYJkZ44AqJo6BvmTcDw8PN21vb4cKtWqo9IvL36gMqRW5aBwrAfFkBzEO+cqxEUhPRUpERQxVhlSlsEyVMfPt27fSscC9JpsTBO4/XB9UYdImXJNUc1IRVguOh0qaxcXFUBVEfhGbCHR0dIRqIo6FCqKXgkov2o/xwhhgbH7//r1yj4v3K8Yn1Y/ck+gbqvgYXyw5fmy1IlVULLflPbL3L9ro69evob04Bt6bcfrU+wG4x1DRGcc81xp/gyq4dOOMx/YhFVtxiXRZxaAkvVT/MQv13AchSZIkVUMOE0tFmThjadVjs7L0d7E8liWz8JHj6ZisZJktH5Aw/mMumiQ1CiugJEmS1BCo7oubBrDbn/R/QTj+5uZmZSLKySdJjcgQckmSJDUElnU+Zsc+6V/BhBMbQ0hSI7MCSpIkSZIkSXVlBpQkSZIkSZLqygooSZIkSZIk1ZUTUJIkSZIkSaorJ6AkSZIkSZJUV05ASZIkSZIkqa6cgJIkSZIkSVJdOQElSZIkSZKkunICSpIkSZIkSXXlBJQkSZIkSZKa6uk3kMivbTexXKIAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 1200x1000 with 1 Axes>"
       ]
@@ -245584,7 +245093,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 22,
    "id": "84e07db0",
    "metadata": {},
    "outputs": [
@@ -245607,7 +245116,7 @@
       "\n",
       "Key Findings:\n",
       "  • Most important category: Release Point\n",
-      "  • Most important feature: release_pos_z\n",
+      "  • Most important feature: release_pos_x\n",
       "  • Top 3 features account for 42.5% of total importance\n",
       "\n",
       "✓ All SHAP results saved to outputs/ directory\n"
@@ -245698,7 +245207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 23,
    "id": "4ae087cc",
    "metadata": {},
    "outputs": [
@@ -245718,64 +245227,64 @@
       "======================================================================\n",
       "(These features HELP the model make correct predictions)\n",
       "\n",
-      "release_pos_x             | Mean Positive: 0.146362 | Net: 0.146056\n",
-      "release_pos_z             | Mean Positive: 0.137964 | Net: 0.137468\n",
-      "spin_axis                 | Mean Positive: 0.117246 | Net: 0.116909\n",
-      "release_speed             | Mean Positive: 0.096027 | Net: 0.094675\n",
-      "pfx_z                     | Mean Positive: 0.073614 | Net: 0.072389\n",
-      "pfx_x                     | Mean Positive: 0.065256 | Net: 0.063265\n",
-      "pitch_type_FF             | Mean Positive: 0.034624 | Net: 0.031535\n",
-      "pitch_type_CH             | Mean Positive: 0.024855 | Net: 0.024199\n",
-      "pitch_type_SL             | Mean Positive: 0.021927 | Net: 0.020974\n",
-      "pitch_type_SI             | Mean Positive: 0.021668 | Net: 0.020855\n",
+      "release_pos_x             | Mean Positive: 0.149548 | Net: 0.149191\n",
+      "release_pos_z             | Mean Positive: 0.139382 | Net: 0.138867\n",
+      "spin_axis                 | Mean Positive: 0.116230 | Net: 0.116045\n",
+      "release_speed             | Mean Positive: 0.097548 | Net: 0.096252\n",
+      "pfx_z                     | Mean Positive: 0.073790 | Net: 0.072185\n",
+      "pfx_x                     | Mean Positive: 0.064794 | Net: 0.063794\n",
+      "pitch_type_FF             | Mean Positive: 0.035641 | Net: 0.033553\n",
+      "pitch_type_CH             | Mean Positive: 0.025313 | Net: 0.024657\n",
+      "pitch_type_SI             | Mean Positive: 0.023856 | Net: 0.023557\n",
+      "pitch_type_SL             | Mean Positive: 0.022171 | Net: 0.021631\n",
       "\n",
       "======================================================================\n",
       "TOP 10 FEATURES WITH STRONGEST NEGATIVE IMPACT\n",
       "======================================================================\n",
       "(These features CONFUSE the model / push away from correct class)\n",
       "\n",
-      "pitch_type_FF             | Mean Negative: -0.003089 | Net: 0.031535\n",
-      "pfx_x                     | Mean Negative: -0.001991 | Net: 0.063265\n",
-      "release_speed             | Mean Negative: -0.001352 | Net: 0.094675\n",
-      "pfx_z                     | Mean Negative: -0.001225 | Net: 0.072389\n",
-      "pitch_type_SL             | Mean Negative: -0.000953 | Net: 0.020974\n",
-      "pitch_type_SI             | Mean Negative: -0.000812 | Net: 0.020855\n",
-      "pitch_type_CH             | Mean Negative: -0.000656 | Net: 0.024199\n",
-      "plate_z                   | Mean Negative: -0.000643 | Net: 0.003764\n",
-      "count_0-0                 | Mean Negative: -0.000533 | Net: 0.002186\n",
-      "release_pos_z             | Mean Negative: -0.000496 | Net: 0.137468\n",
+      "pitch_type_FF             | Mean Negative: -0.002089 | Net: 0.033553\n",
+      "pfx_z                     | Mean Negative: -0.001605 | Net: 0.072185\n",
+      "release_speed             | Mean Negative: -0.001296 | Net: 0.096252\n",
+      "pfx_x                     | Mean Negative: -0.001000 | Net: 0.063794\n",
+      "pitch_type_CH             | Mean Negative: -0.000656 | Net: 0.024657\n",
+      "pitch_type_SL             | Mean Negative: -0.000539 | Net: 0.021631\n",
+      "release_pos_z             | Mean Negative: -0.000515 | Net: 0.138867\n",
+      "plate_z                   | Mean Negative: -0.000387 | Net: 0.004940\n",
+      "release_pos_x             | Mean Negative: -0.000357 | Net: 0.149191\n",
+      "pitch_type_SI             | Mean Negative: -0.000299 | Net: 0.023557\n",
       "\n",
       "======================================================================\n",
       "FEATURES WITH STRONGEST NET POSITIVE EFFECT\n",
       "======================================================================\n",
       "(Overall most helpful features)\n",
       "\n",
-      "release_pos_x             | Net Effect: 0.146056 | Pos: 0.146362 | Neg: -0.000306\n",
-      "release_pos_z             | Net Effect: 0.137468 | Pos: 0.137964 | Neg: -0.000496\n",
-      "spin_axis                 | Net Effect: 0.116909 | Pos: 0.117246 | Neg: -0.000337\n",
-      "release_speed             | Net Effect: 0.094675 | Pos: 0.096027 | Neg: -0.001352\n",
-      "pfx_z                     | Net Effect: 0.072389 | Pos: 0.073614 | Neg: -0.001225\n",
-      "pfx_x                     | Net Effect: 0.063265 | Pos: 0.065256 | Neg: -0.001991\n",
-      "pitch_type_FF             | Net Effect: 0.031535 | Pos: 0.034624 | Neg: -0.003089\n",
-      "pitch_type_CH             | Net Effect: 0.024199 | Pos: 0.024855 | Neg: -0.000656\n",
-      "pitch_type_SL             | Net Effect: 0.020974 | Pos: 0.021927 | Neg: -0.000953\n",
-      "pitch_type_SI             | Net Effect: 0.020855 | Pos: 0.021668 | Neg: -0.000812\n",
+      "release_pos_x             | Net Effect: 0.149191 | Pos: 0.149548 | Neg: -0.000357\n",
+      "release_pos_z             | Net Effect: 0.138867 | Pos: 0.139382 | Neg: -0.000515\n",
+      "spin_axis                 | Net Effect: 0.116045 | Pos: 0.116230 | Neg: -0.000185\n",
+      "release_speed             | Net Effect: 0.096252 | Pos: 0.097548 | Neg: -0.001296\n",
+      "pfx_z                     | Net Effect: 0.072185 | Pos: 0.073790 | Neg: -0.001605\n",
+      "pfx_x                     | Net Effect: 0.063794 | Pos: 0.064794 | Neg: -0.001000\n",
+      "pitch_type_FF             | Net Effect: 0.033553 | Pos: 0.035641 | Neg: -0.002089\n",
+      "pitch_type_CH             | Net Effect: 0.024657 | Pos: 0.025313 | Neg: -0.000656\n",
+      "pitch_type_SI             | Net Effect: 0.023557 | Pos: 0.023856 | Neg: -0.000299\n",
+      "pitch_type_SL             | Net Effect: 0.021631 | Pos: 0.022171 | Neg: -0.000539\n",
       "\n",
       "======================================================================\n",
       "FEATURES WITH STRONGEST NET NEGATIVE EFFECT\n",
       "======================================================================\n",
       "(Overall most confusing features)\n",
       "\n",
-      "count_3-0                 | Net Effect: 0.000059 | Pos: 0.000141 | Neg: -0.000082\n",
-      "count_3-1                 | Net Effect: 0.000314 | Pos: 0.000314 | Neg: 0.000000\n",
-      "count_2-0                 | Net Effect: 0.000513 | Pos: 0.000632 | Neg: -0.000120\n",
-      "pitch_type_SV             | Net Effect: 0.000540 | Pos: 0.000540 | Neg: 0.000000\n",
-      "count_3-2                 | Net Effect: 0.000580 | Pos: 0.000642 | Neg: -0.000062\n",
-      "count_0-2                 | Net Effect: 0.000631 | Pos: 0.000631 | Neg: 0.000000\n",
-      "count_2-2                 | Net Effect: 0.000734 | Pos: 0.001048 | Neg: -0.000314\n",
-      "count_2-1                 | Net Effect: 0.000853 | Pos: 0.000853 | Neg: 0.000000\n",
-      "count_1-2                 | Net Effect: 0.000928 | Pos: 0.000996 | Neg: -0.000067\n",
-      "count_1-1                 | Net Effect: 0.000977 | Pos: 0.000993 | Neg: -0.000016\n"
+      "count_3-0                 | Net Effect: -0.000061 | Pos: 0.000088 | Neg: -0.000149\n",
+      "count_2-1                 | Net Effect: 0.000291 | Pos: 0.000291 | Neg: 0.000000\n",
+      "count_0-2                 | Net Effect: 0.000380 | Pos: 0.000527 | Neg: -0.000147\n",
+      "count_3-1                 | Net Effect: 0.000469 | Pos: 0.000469 | Neg: 0.000000\n",
+      "pitch_type_SV             | Net Effect: 0.000483 | Pos: 0.000483 | Neg: 0.000000\n",
+      "count_3-2                 | Net Effect: 0.000741 | Pos: 0.000785 | Neg: -0.000044\n",
+      "count_2-0                 | Net Effect: 0.000846 | Pos: 0.000859 | Neg: -0.000013\n",
+      "count_2-2                 | Net Effect: 0.000901 | Pos: 0.000985 | Neg: -0.000085\n",
+      "count_1-1                 | Net Effect: 0.000944 | Pos: 0.001038 | Neg: -0.000094\n",
+      "count_1-0                 | Net Effect: 0.001076 | Pos: 0.001167 | Neg: -0.000091\n"
      ]
     }
    ],
@@ -245860,7 +245369,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 24,
    "id": "5aaa95c3",
    "metadata": {},
    "outputs": [
@@ -245879,88 +245388,88 @@
       "----------------------------------------------------------------------\n",
       "\n",
       "1. Sears, JP\n",
-      "   Net SHAP Effect: 1.000000\n",
+      "   Net SHAP Effect: 0.999999\n",
       "   Sample Count: 7\n",
       "   Top 3 identifying features:\n",
-      "     • release_pos_z: 0.371514\n",
-      "     • release_pos_x: 0.191988\n",
-      "     • spin_axis: 0.189992\n",
+      "     • release_pos_z: 0.370754\n",
+      "     • release_pos_x: 0.188148\n",
+      "     • spin_axis: 0.164672\n",
       "\n",
       "2. Lodolo, Nick\n",
-      "   Net SHAP Effect: 0.999997\n",
+      "   Net SHAP Effect: 0.999992\n",
       "   Sample Count: 5\n",
       "   Top 3 identifying features:\n",
-      "     • release_pos_x: 0.399957\n",
-      "     • spin_axis: 0.158714\n",
-      "     • release_pos_z: 0.124079\n",
+      "     • release_pos_x: 0.369066\n",
+      "     • spin_axis: 0.146796\n",
+      "     • pitch_type_CU: 0.108280\n",
       "\n",
-      "3. Ryan, Joe\n",
-      "   Net SHAP Effect: 0.999964\n",
-      "   Sample Count: 3\n",
+      "3. Peralta, Freddy\n",
+      "   Net SHAP Effect: 0.999985\n",
+      "   Sample Count: 12\n",
       "   Top 3 identifying features:\n",
-      "     • release_pos_z: 0.344607\n",
-      "     • release_pos_x: 0.165299\n",
-      "     • spin_axis: 0.126833\n",
+      "     • release_pos_x: 0.486761\n",
+      "     • release_pos_z: 0.226175\n",
+      "     • pfx_z: 0.068360\n",
       "\n",
-      "4. Peralta, Freddy\n",
-      "   Net SHAP Effect: 0.999962\n",
-      "   Sample Count: 12\n",
+      "4. Hendricks, Kyle\n",
+      "   Net SHAP Effect: 0.999970\n",
+      "   Sample Count: 3\n",
       "   Top 3 identifying features:\n",
-      "     • release_pos_x: 0.447186\n",
-      "     • release_pos_z: 0.219966\n",
-      "     • spin_axis: 0.085668\n",
+      "     • release_speed: 0.374912\n",
+      "     • release_pos_x: 0.203465\n",
+      "     • spin_axis: 0.127249\n",
       "\n",
-      "5. Hendricks, Kyle\n",
-      "   Net SHAP Effect: 0.999845\n",
+      "5. Ryan, Joe\n",
+      "   Net SHAP Effect: 0.999708\n",
       "   Sample Count: 3\n",
       "   Top 3 identifying features:\n",
-      "     • release_speed: 0.368886\n",
-      "     • release_pos_x: 0.210441\n",
-      "     • spin_axis: 0.132556\n",
+      "     • release_pos_z: 0.353732\n",
+      "     • release_pos_x: 0.175451\n",
+      "     • spin_axis: 0.120925\n",
       "\n",
       "----------------------------------------------------------------------\n",
       "PITCHERS WITH MOST NEGATIVE FEATURES (Hardest to Identify)\n",
       "----------------------------------------------------------------------\n",
       "\n",
-      "1. Lorenzen, Michael\n",
-      "   Net SHAP Effect: 0.216950\n",
-      "   Sample Count: 3\n",
-      "   Top 3 confusing features:\n",
-      "     • pitch_type_FC: -0.009782\n",
-      "     • count_3-2: -0.003938\n",
-      "     • count_1-1: -0.002697\n",
-      "\n",
-      "2. Cecconi, Slade\n",
-      "   Net SHAP Effect: 0.278631\n",
+      "1. Cecconi, Slade\n",
+      "   Net SHAP Effect: 0.239873\n",
       "   Sample Count: 6\n",
       "   Top 3 confusing features:\n",
-      "     • matchup: 0.000000\n",
-      "     • count_3-0: 0.000000\n",
-      "     • count_3-2: 0.000000\n",
+      "     • count_1-0: -0.005301\n",
+      "     • count_1-1: -0.001787\n",
+      "     • matchup: -0.001243\n",
       "\n",
-      "3. Martin, Davis\n",
-      "   Net SHAP Effect: 0.382542\n",
+      "2. Mize, Casey\n",
+      "   Net SHAP Effect: 0.350498\n",
       "   Sample Count: 4\n",
       "   Top 3 confusing features:\n",
-      "     • pitch_type_FF: -0.014886\n",
-      "     • pitch_type_FC: -0.003464\n",
-      "     • count_1-0: 0.000000\n",
+      "     • count_1-1: -0.009069\n",
+      "     • count_1-0: -0.003447\n",
+      "     • count_2-1: 0.000000\n",
       "\n",
-      "4. Kochanowicz, Jack\n",
-      "   Net SHAP Effect: 0.391665\n",
-      "   Sample Count: 5\n",
+      "3. Lorenzen, Michael\n",
+      "   Net SHAP Effect: 0.429112\n",
+      "   Sample Count: 3\n",
       "   Top 3 confusing features:\n",
-      "     • pitch_type_CH: -0.005537\n",
-      "     • pitch_type_other: -0.004502\n",
-      "     • count_2-1: 0.000000\n",
+      "     • pitch_type_FC: -0.001254\n",
+      "     • count_3-2: -0.001164\n",
+      "     • matchup: 0.000000\n",
       "\n",
-      "5. Rea, Colin\n",
-      "   Net SHAP Effect: 0.414493\n",
-      "   Sample Count: 1\n",
+      "4. Martin, Davis\n",
+      "   Net SHAP Effect: 0.486443\n",
+      "   Sample Count: 4\n",
       "   Top 3 confusing features:\n",
-      "     • plate_x: -0.053457\n",
-      "     • pitch_type_FS: 0.000000\n",
+      "     • pitch_type_FC: -0.004104\n",
       "     • count_1-1: 0.000000\n",
+      "     • count_3-1: 0.000000\n",
+      "\n",
+      "5. Senzatela, Antonio\n",
+      "   Net SHAP Effect: 0.488211\n",
+      "   Sample Count: 4\n",
+      "   Top 3 confusing features:\n",
+      "     • pitch_type_FF: -0.019840\n",
+      "     • pitch_type_SL: -0.014019\n",
+      "     • pitch_type_SI: -0.004588\n",
       "\n",
       "✓ Saved per-pitcher directional SHAP to: outputs/per_pitcher_directional_shap.csv\n"
      ]
@@ -246059,13 +245568,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 25,
    "id": "1099693b",
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
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iIiIiIiIiIiJ7wXnjrVu3atAvceLEUq5cOQb9bIA9/sjlevwhWDV37lydSfDFF19oIOj8+fNy9OhROXz4sIwYMcLi4xA42759uwYLr1+/Lnny5JEmTZqY1mMmwt69e+XBgwcayGvZsqVcvHhR140fP16DbmhMevfuXfnpp580WBed7UYG20EgE9usWrWqfPzxx6bgXrNmzSRBggQ6Brx5Llu2TMaNGxfleCJy584d3WdYpk+frsHSatWqWbwvxuTr62taMmfOLI4Cv5+L+y7Ky6CX9h4KERERERERERERkdvCOWkkpyAhpmLFinoumYicl90Cf507d5a8efNqzWBkuX3zzTea/Yc3l/79+8vChQstlgX9/vvvZeLEiRrw8vLy0gAhAnaBgYF6H2QOpkmTRtOREbhDDeIdO3boOgTgEGA7e/asri9atKj4+flFa7uRwfMg0w+PGzp0qGb57dq1SwN6GzZs0O0iOw+ZiAgwGhl6EY0nOhCg7Natm/z555+SKVMmi/fp16+fPHz40LRE52exlQsXLsiqb1ZJ0K0gew+FiIiIiIiIiIiIyK0gIQUtuIzMM1SjQ4U+nOMm22DGH7lcjz+UvYSAgADN/jIPeCEQFxISYjHbDenGmHWAPwoD3owQ1EJG27fffiuzZs2SK1eu6H2QGYfHAUpyPnv2TEtvIhD2ySefyJgxY/Q+UW03MgjoGRDMQ/AQQT9cTpQokaRNm9a0PkeOHDq2yMaDdOrIIDOyQYMGmiGIN+SIJEyYUBciIiIiIiIiIiIiInj69KlWzcM5+UKFCpnOaxORa7Bbxh960wGCasjQQ/DPWBAEQzAuLGQDIitw9+7doe4fHBws7777rmbBIeNu3rx5cv/+fV1XsGBBDSQCsu7Gjh0rp0+flp07d8r69es10y+q7UbFvC8fegWiVCganyITD4E9ZAAaEOg0MvQiGk9k8HN9+OGH0rt3b+0PSEREREREREREREQUHUiS2bJli/b1w3ns58+fc8fZi4eVF3Jbdgv8GUqVKqXBv4EDB8rjx481SIdA2qpVqywGCzt16iS9evUyla1EqczFixfrZbxZoWRm6tSpNU159uzZcuzYMdPjV65cKWfOnNF1yZIl01kM8ePHj3K7UcH9EDR88eKFfP311/r8SItG8K9KlSoapENG4eXLl2XkyJHSunXrSMcTWfo1Mv0qVKig2YJEREREREQUtWnTpkm2bNm0IkuZMmVkz549Ed73+PHjetyF+6MizKRJkyLdNqq24H49evTgr4KIiIgcGtovoUUVkleSJ0+uFfBYMc5+WOqTXDbwh0AdAmAojZk/f35tHIqMtnPnzlm8/+jRo7WfXtWqVbXpKEpdrl27VtfVqFFDGjZsqOnJGTJk0AO2cuXKmR6LbeI+eFyBAgV0O+g1GNV2o9KuXTvp27evpkb/888/smzZMlMAD70KkTmIcqAYC362Pn36RDkeS1AidOPGjbpNZAsay4IFC8TZ4IA7RaYUEi9BPHsPhYiIiIiIXBgmavbs2VOGDBmiPeaLFCki1atXl1u3bkVY+gotGhDQS5cuXaTbRomsGTNmSOHCha00eiIiIqK3h8QTJMjgfDkSb1CRDueqcY6WiFyPxxujDibFSuXKlaVu3bpOMbsTGZEIrKKUKjIM7f1hgwNtlHk1yr4S97er4Oub+9vV8TXO/e3K+Prm/nZ0jvSd3lkgww+VZqZOnWr6O0fVma5du8pXX30V6WOR9YdjPUvHe2hPUbx4cW3XMGLECClatGiE2YEooWVeRgu/R4wBrRxs8XvEz3z79m2tTsPjL+4jvpasj39z3Ed8LdkO/96iZ8eOHXL+/HnN8vP399dJTu4A37lSpEjhcN+dje/03f+eIAm9E1vlOZ4HBcvkWr0c7mcn24i4riQRERERERGRE0M7hv3790u/fv1MtyHwVa1aNe2z/jY+//xzreiCbSHwFxlUmBk2bFi42xGMQ194W5wUxUkfzPtl4I/7iK8l6+PfHPcRX0u2w7+36EHFOXwvQsAPFeQiqnzgatBajMgdMfAXha1bt0rNmjUtrrPUhzAu4M3Xkv79++viCg4dOiSVKlWSzZs36yxZIiIiIiKiuHbnzh0JCQmRtGnThrod10+dOhXr7f76669aNhSlPqMDgUeUGw2b8YcMPFtl/KGHDDP+uI/4WrIN/s1xH/G1ZDv8e4sYqg0Y/ftSpUqlbarSp0/vVpOAHL2UqafHv4u1tk3ui4G/KFSoUEFLuERk06ZNcf07ifT5XOlDGT9nj9U9xPe0r72H4/I8xEMyx8ssgSGB8kZY3Zf727Xw9c197ur4Go++FU1XWPE3QUT0r8DAQOnevbv2d4/uySScdDNOvJnDiTdbnXxD4M+Wz+eMuI+4n/h64t+cI+J7E/dRbM67njhxQq5evarntpMkSaK3J0iQwO2+C7jTz0pkjoE/IiIiIiIickmY3R4vXjy5efNmqNtxPV26dLHaJkqHojyWeeUSZBVu2bJF+whidj2ek4iIiMjWUM5z3759cvfuXVP1gyxZsvAX4aA8MTHLwzqpedbaLjkHhryjMGrUKGnatKnYE0qNomE8ERERERERRZ+Xl5eUKFFC1q9fH2oWPK6XLVs2Vrvyvffek6NHj2r7AmMpWbKkNG/eXC8z6EdERET2gFLimIiEoF/8+PGlVKlSDPoRuSlm/EXBEXrqWauXIBERERERkatDb73WrVtrcK506dIyadIkCQoKkrZt2+r6Vq1aScaMGWX06NGmmfIoj2VcRpksBPTQiz1Xrlzi4+MjBQsWDPUc3t7ekjJlynC3ExEREdnCtWvX9PsKqhDgewmCfvjOQo5fyheLtbZN7ouBP7KLfPnySaPRjeRJOtfvZ0hERERERPbzySefyO3bt2Xw4MFy48YNKVq0qKxevVrSpk2r6y9fvhyq/wtOnBUrVsx0ffz48bpUqlTJKj3eiYiIiN7G9evXtRQ5pE6dWqsdoJ8fEbkvtyr1OXHiRE1vxmyHbNmyyaxZs2TOnDl64IfMPszQxHrzsppDhw6VunXrhoqUT58+XWdyJkuWTOrUqSMPHz6M1nPnzp1bnztnzpza+8GwcuVKSZMmjb5Jw4ULFyRFihSyceNGvV65cmWdlQr37t2TevXq6frkyZPrG/mlS5csPid6SyDF23xxFGgqmzpHaomfkLFnIiIiIiKyri5duuhxE46Rdu/eLWXKlDGtQzAPx4UGHCu+efMm3BJZ0A/rjGM2IiIiIlvCeWWcJ8Y5Z3zHYdDPeXh6WHch9+U2gb8zZ87IwIEDZe3atfL48WM92EOZFzh27JgG9BB4W7x4sXz11VdaDzkiS5YskQ0bNujM0CtXrsi3334b5fNnzZpVH4PgGwKOX375pWzfvl3X1a5dW5o0aaIlZnAgip6Cn332mVSpUiXcdjDT9NWrV1puBvWaf/rppwjTtlGqxtfX17RkzpxZHAX23ZaftsjTO0/tPRQiIiIiIiIiIiIipxEcHKwTkwD9hcuVKycFChRgeUcicq/AH94A8WZ4/PhxfWNEWZfChQvrOtQ9RmYfGr+jwTuass+bNy/CbfXp08c0k6JBgwamVOrI4H4IvCHAiIBe9erVQ80Y/eabb+TWrVsajESZmWHDhlncDmZsIOB39uxZ/ZmQrejn52fxvv369dNsRGMJDAwUR3Hnzh05tvaYvHj8wt5DISIiIiIiIiIiInIKOIeM88pIdDGYly0n58GMP7IWt3lHQKrz3LlztcQmgn4ffPCBNjyFDBkyhEqBRnYeMuoiki5dOtNlBA2RQRiVBQsWSPHixTVIh4Dh33//rcEvQ8KECaVdu3Zy5MgR6d27t8SPb7kEJjIFK1SoII0bN9ZxdO/eXQOZlmCbKEdqvhARERERERERERGR80EyCCrZoSIczi2/fv3a3kMiIgfkNoE/QLAMffNu3rwpRYoUkZYtW5qat798+TJUGcqMGTPG2fNie61bt5Zx48bpjIwHDx5IrVq1TOnYRl8/ZB126NBBg3sR9eNLmjSpjB07Vk6fPi07d+6U9evXh+pJSERERERERERERESuIyQkRKvOnTp1ypS4gsp1zPRzbh7iIZ5WWvCP3JfbBP4QKPvnn380Ow4lPRFAM7LqgoKCZPjw4fLixQudMYHsPJT7jCtPnjzRIB/Kg+LNGNl+6DVowAyNZs2ayeeffy4//vijlChRQjp16mRxWytXrtQ0bszmQAYfMhUjyg4kIiIiIiIiIiIiIuf19OlT2bZtmyavoI0U2ldhYdCPiMTdA38I6g0aNEjLfKZMmVI2bNggc+bM0XUFCxbU4Fv69OmlYcOGMnLkSO3DF1fQWHXAgAFStWpVfe7FixdLnTp1TOsxLrxpI+MPZs6cKTt27NDSpGGdO3dOatSoIT4+PrpdzOzo3LmzOBsEQYt8WEQSJkto76EQERERERERERERORwkf2zfvl2rw6Gt07vvvqvZfuQa2OOPrMXjjXm9STeE4N+kSZNM/f5cGT4gfH195eHDh3bv94cPLZQ9NbIgifvblfD1zf3t6vga5/52ZXx9c387Okf6Tk/O83vkexv3EV9LtsW/Oe4jvpb49xaXrly5om2iSpUqJYkTJ47VNtz1fclRvzsb4xqwbpIk8o7d7zQqz4KCZWS1Hg73s5NtuM9fOTkUlD/dt2+f/k9ERERERERERERE/wbp0JrKkClTJqlQoUKsg37kuDw8rLuQ+2LgL46gLyD6BlpaLl++HFdP4zLQp/Cjjz7S/4mIiIiIiIiIiIjc3bNnz7QFFJbnz5+bbkebKCKi6Iovbq5Nmza6vK3mzZvrQjHTc21P8T3ry91mZR7iIZnjZZbAkEB5I25d3dcmuL+5v10dX+PRt6LpCiv+JoiIiIiIiMhVPHjwQPbu3avBvwQJEmjWH/r6kevyFA/xtFJQF9sm9+X2gT8iIiIiIiIiIiIiInsJDAyUI0eOaJlPHx8f7efn7e3NXwgRuU6pz02bNkny5MntPQyHt2zZMsmWLZu9h0FEREREREREREREMfTmzRs5fvy4HDp0SIN+6dKlk/LlyzPo5yaQ7WfNhdwXM/7IPi+8+PElkU8i8YznkLFnIiIiIiIiIiIiIqs6c+aMXLhwQS/nyZNHF/bzcx+eHv8u1to2ua/49prJgBkM8eLFs8fTkwMoXLiwtJvVjj3niIiIiIiIiIiIyC3lyJFDbt68Kblz55b06dPbezhE5CJslm6FkpSjR4+Wd955R5IkSSLbtm2T5s2b6xtahgwZpEePHvL8+XOLj3358qUMHjxYcubMKSlTppQ6derItWvXTOv79OkjWbNm1frHBQoUkN9++8207t69e1KvXj1JkSKFlg8tUaKEXLp0KVrbjciCBQv0zRjPlzFjRhk+fHioEqVTpkzRnwup2UOGDNFAp2HdunVSunRpvZ+/v7/8+eefpnW433fffSf58uXT9ZUrV5aTJ0+a1l+5ckU++OADSZYsmf4cJ06ciHSc2J+PHj0KtRARERERERERERGRfTx48MB0OUGCBFKhQgUG/dw8489aC7kvm9ZZnDNnjsydO1eePHkiX3zxhQbGzp8/L0ePHpXDhw/LiBEjLD5uwIABsn37dg0WXr9+XVOemzRpYlpfpEgR2bt3r75pIpDXsmVLuXjxoq4bP368vHr1Sq5evSp3796Vn376SQN20dmuJUFBQdKmTRvdzuPHj7UGc40aNUzrcduBAwf050IgcPbs2TJv3jxdhwatjRo1kjFjxmhAcsaMGTrW06dP6/offvhBt7tixQq5c+eO1K9fXz766CN58eKFrm/WrJl+CNy4cUODjzNnzox0rAi0+vr6mpbMmTOLo8B++6XbL/L4ymN7D4WIiIiIiIiIiIjIqpD0gfPAW7duNZ27Bpb2JCKnDvx17txZ8ubNq4ExZN198803mv2HbLv+/fvLwoULLb4hfv/99zJx4kQNenl5eWmAEAG7wMBAvQ8yB9OkSaOlQxG4Q8bcjh07TLMmEPA7e/asri9atKj4+flFa7sRwTaRiYcMOmTmlSpVyrQOJUzHjh2rPxfG0aVLF5k/f76uQ6APQcOqVauKp6enNmqtXbu2LFmyRNdPmzZNvv76a80mRA+8bt26SXBwsOzevVvHhA8FY59h2506dYp0nP369ZOHDx+alqh+LlvSbMSbjyTkZYi9h0JERERERERERERkNUhM2bdvn/b0A5zzJULQ15oLuS+b9vjLkiWL/h8QEKDZeQjAGRCICwkJHwRC5huy7CpWrBjqxYpAHQJZyGL79ttvZdasWVoKE/dBRiEeB19++aU8e/ZMGjdurMGvTz75RDPucJ+otmuJt7e3ZuRNmDBBS4wWKlRIS31WqVJF1ydKlEiDkAaUIEW2ofFzb9iwQX7++edQb/oo3Wmsb9GiRajeh8j2w8+FcVnadmQSJkyoCxERERERERERERHZHs5B79mzR89HIxkE1esyZcrEXwURuUbgD29sgKAaAlgorxkVZAMiww1Zb8hyCwtlOocOHaoBtWLFiulzIKvP6KuXNGlSzcDDghRqlM5Eph9KjUa23ci89957uqBHILZVt25duX//vq5DkPHWrVumAN3ly5e1D6Dxc3fv3l0Dj5Zg/aRJk0KVDjUgGGlp20RERERERERERETkeHAuF9XvcB4ZSR2oHIcKckTgacWSjDYt9UgOxy6/f7zBIcg1cOBA7YmHIB1Kf65atSr8AD09taRlr169TKUqUbpz8eLFehnlNpEhlzp1ai2ziZ56x44dMz1+5cqVmkKNdcisQ5lOlNGMarsRuXnzpixdulTHje1gm/jffLwosYl0bdRsRvlOlCKFjh07arbfxo0bNbsR5S537typZUPh888/1x6FRs8//GzLly/X58L+KleunHz11VembaN0KBERERERERERERE5FpzD3bt3rwb9UPkOlecY9CMilw38IVCHgBxKYObPn198fX3lww8/lHPnzlm8/+jRo6Vs2bLaG8/Hx0dKlCgha9eu1XXIjmvYsKGW3MyQIYMcP35cA2QGbBP3weMKFCig20Gvwai2GxEEECdPnqyBOIwbgb3ff//dlM2I7SDjMEeOHPpm3qpVK2ndurWuQ0biokWLNOCJQCUyAQcNGqQBQEA/QPQArF+/vgYUsW/M+x7iMoKUyPhr1qyZtGvXTpxVrly5pHa/2uKd1tveQyEiIiIiIiIiIiKKU4kTJ9bzu2h/hXPQbMlEYXl6eFh1Iffl8caoiUlvbdOmTVr2E/0LHREyCBGsRK9Do6+gvSCAapQtNYKmxP3tKvj65v52dXyNc3+7Mr6+ub8dnSN9pyfn+T3yvY37iK8l2+LfHPcRX0vu+/eGLD+MydvbsZIdHG0/uft3Z2NcY7dMlURJE1vlOZ49CZa+Fbs43M9OtuE+f+XkUNDfcfz48dHq80hERERERERERETkyO7duydbtmyRPXv2yKtXr+w9HHICSMrztNLChD/3xsCfBVu3bpWkSZNaXLCO3h4CfhMmTGDgj4iIiIiIiIiIiJzapUuXZMeOHfLixQvNqGPgj4jsKb5dn91BVahQQZ48eRLjx1WuXNlhy3w6qp5re4rvWV97D8PleYiHZI6XWQJDAuWNsLov97drcZfX94qmK+w9BCIiIiIiIiIKU0Lz2LFjGviDDBkySNGiRSVevHjcTxQla/biY48/98bAHxERERERERERERFRDDx//lz27dunJT4hf/78kitXLu5DIrI7lvq0kbNnz0qpUqXEx8dHevXqZaunJSIiIiIiIiIiIqI4hkw/BP0SJEggZcqUYdCPYgzJftZcyH0x489Gxo4dK4ULF5a9e/fa6ikdWooUKSR3+dzi5e1l76EQERERERERERERxUjBggXl5cuXUqhQIfH29ubeIyKHwYw/G7l48aJ+CNC/smfPLu93fV+SpEnCXUJEREREREREREQO7c2bN3Lz5k3T9YQJE8o777zDoB+9dY8/ay3kvhj4i0PZsmWTkSNHSvHixSVZsmRSvXp1uXbtmpQuXVo2bdokffv2laRJk8q6deukUaNG0qJFC9Njv/nmG/H395fg4OAIt//HH3/o440lceLE4hHJHzDqTD969CjU4iiePXsmD288lJAXIfYeChEREREREREREVGEkNm3e/du2bNnj1y9epV7iogcGgN/cWzWrFmycOFCuXHjhqRLl06De/hAqFChgpb7fPLkiVSrVk1mzpwpW7dulXnz5mkT2BEjRsivv/6qwbyINGjQQB+P5eHDh1KpUiVp2bJlhPcfPXq0+Pr6mpbMmTOLozhx4oQs6L5AHl99bO+hEBEREREREREREVn0+PFjPY97+/ZtiRcvnnh68pQ6xQ1PD+su5L7Y4y+Ode7cWfLly6eXx40bp8G/K1euhLtf8uTJZcGCBfLRRx9pv7tRo0bFqBRot27d5OnTpxpojEi/fv2kZ8+epuvI+HOk4B8RERERERERERGRo0Jyx8GDB+XVq1eSJEkSKVWqlFZ6IyJyZAz8xbGsWbOaLqdNm1ZrPUeU/l2uXDnJkSOHXLp0Sdq3bx/t55g0aZKsXbtWdu3aJV5eXhHeD8+NhYiIiIiIiIiIiIii38/v7Nmzcvr0ab2eKlUqKVGiRKTnYoliCrmj1sofZV6qe+PvP44hiGe4deuW9tnLmDGjxftOmDBB1+fPn1/69+8fre2vXLlS+wj+9ddfkjJlyjgbNxERERERERERERGJ3L9/3xT0y549u5QpU4ZBPyJyGgz8xbEZM2boh0JwcLD07dtXKlasKJkyZQp3v/3798vw4cNl0aJF2hNwzpw5smbNmki3ffjwYWnVqpX89ttvkidPnrgeOhEREREREREREZHb8/Pz0/OvRYsWlYIFC7KvH1mFp6eHVZeYmjZtmmTLlk0SJUqkwe49e/ZEeN/jx49LgwYN9P4eHh5apTCs0aNHa3lcHx8fSZMmjdStW9cUUCfrYuAvjrVr106aNm2qZT5R4hN9/MJ68uSJ3geZe+jrh757M2fOlNatW2uWYESWLl0qDx8+lNq1a0vSpElNizMqXry4fLb4M0mePbm9h0JERERERERERERu7s6dO/Ls2TPT9bx58+p5WyJr8bDyv5hYvHix9OzZU4YMGSIHDhyQIkWKSPXq1SOMVzx9+lTbmI0ZM0bSpUtn8T6bN2+Wzz//XFuW/fPPP/Ly5Uv54IMPJCgoKFb7i6KPPf7imL+/vwwYMCDc7Zs2bTJdRrDuzJkzodbXr19fl8gMHTpUF1cxqOIgjfR7ejL+bG2vX7/WN2nub9vg/rYt7m8iIiIiIiIiehsXLlyQEydOiK+vr5QrV47nK8llPHr0KNT1hAkT6hLWxIkTpUOHDtK2bVu9Pn36dG03Nnv2bPnqq6/C3R+ZfFjA0npYvXp1qOuoeojz06iGiEqJZD2MuJBdIKUXmYtM7SUiIiIiIiIiIiJ7CAkJkYMHD2rZwjdv3mhJQiJbQTVOay6ArFUEtI0F5TfDevHihQbjqlWr9r+xeXrq9Z07d8bZz4tqhkYpXbIuZvw5GJQG7dixo8V1mHWSJUsWcQVI58WbCdN6iYiIiIiIiIiIyNZQ1nPv3r3y4MED7VGGSm7Zs2fnL4JcSmBgoCRLlsx03VK2H8rcIgiO9mXmcP3UqVNxVrGrR48emlGLvplkXQz8xaGAgIC33kbz5s11cRc91/YU37O+9h6Gy0NN58zxMktgSKC8kTf2Ho7L4/523v29oumKOBsXERERERERETmme/fuyb59++T58+fi5eUlJUqUkFSpUtl7WORmzDPzrLFtQNDPPPBnL+j1d+zYMdm2bZu9h+IWGPgjIiIiIiIiIiIiIreAkp4IQCDoh4AI+pQlSZLE3sMishsEvePFiyc3b94MdTuup0uX7q2336VLF1m5cqVs2bJFMmXK9Nbbo6ixx58NnD17Vj9AUCO6V69etnhKIiIiIiIiIiIiIgoDZT1LliypLZXKly/PoB/ZjYcV+/th29FlZL2uX78+VGlOXC9btuxbBdkR9Fu6dKls2LCBpXRtiBl/NjB27FgpXLiw1oymf2XLlk3e6/KexE/NlyARERERERERERFZD7L70McsY8aMeh0ZfkWKFOEuJ/p/PXv2lNatW2tQvHTp0jJp0iQJCgqStm3b6vpWrVrp38/o0aP1+osXL+TEiROmy1evXpVDhw5J0qRJJVeuXKbyngsXLpTly5drUtSNGzf0dl9fX0mcODH3vRUx6mIDFy9elI8++sgWT+U0/Pz8JG+FvOw5R0RERERERERERFbz8OFDTcgIDg6WBAkSSJo0abi3ySF4/P8/a207Jj755BO5ffu2DB48WAN0RYsWldWrV0vatGl1/eXLl8XT838FJK9duybFihUzXR8/frwulSpVkk2bNultP/zwg/5fuXLlUM/1888/S5s2bd7q56PIsdRnHGawjRw5UooXL661oatXr64vfkTH8ULv27evRrvXrVsnjRo1khYtWpge+80334i/v79++EQkMDBQa+3+888/pig6nmvYsGGRzmR59OhRqMVR4E3k6Jqj8vzRc3sPhYiIiIiIiIiIiFwQspC2b9+u5129vb1Z1pMoEijLeenSJY0r7N69W8qUKWNahxjHnDlzQsVDUMoz7GIE/cDSeiwM+lkfA39xaNasWZq6iog4ml4iuLdnzx6pUKGClvt88uSJVKtWTWbOnClbt26VefPmyb59+2TEiBHy66+/RpremjlzZpkxY4am1N66dUsDiUiPHThwYISPQdot0maNBdtwFAhkbp29VYLvRhzsJCIiIiIiIiIiIoopBBdOnjwpBw4ckJCQEM3ywzlaJGYQOQpr9fczFnJfLPUZhzp37iz58uXTy+PGjdPg35UrV8LdL3ny5LJgwQIt/5kiRQoZNWqUFCpUKMrtN2jQQNauXavBQ6Nmbrx48SK8f79+/bQ2rwEZf44U/CMiIiIiIiIiIiKKSy9fvtSAH5InAP3GcM7Ww4ORECJyD8z4i0NZs2Y1XUbt24QJE2qAzpJy5cpJjhw5NBjXvn37aD/HZ599JkePHpVmzZpFGcTD86PsqPlCRERERERERERE5Kpu3rypQT8kTKBVUv78+Rn0I4fkYeWF3BcDf3EI9W8N+HBBLdyMGTNavO+ECRN0PT54+vfvH63to69fu3btpHXr1lomdP/+/XE2diIiIiIiIlc1bdo07UOSKFEi7VWClgwROX78uFZbwf2RGTBp0iSLbRVKlSql7RdQOqxu3bpy+vRpK/8UREREFB2ZMmWSPHnyaOJFROdmiYhcGQN/cQg9+HCwh2ax6MFXsWJF/aAJCwG74cOHy6JFi7QnIJpirlmzJsrtf/XVV1qHevbs2TJy5Ehp2rSp9g10RjhAzlw4s8RPxGqzRERERERkPYsXL9YWCEOGDNGyX0WKFJHq1aubyn+F9fTpU63OMmbMGG3fYMnmzZvl888/l127dsk///yjJcU++OADCQoK4q+SiIjIDi5evKifx4a8efOKr68vfxfk0Njjj6yFgb84hGw8BONQ5hMlPtHHLywE6nAfBO7Q1w/lOmfOnKlZfBEdeMLq1atl7ty58ssvv4inp6d06dJFswW7du0qzih37tzy0YCPJGl6NtQlIiIiIiLrmThxonTo0EHatm0rBQoUkOnTp0uSJEl0QqUlyOT75ptvpEmTJto+IaLjszZt2oi/v78GEjGZ8/Lly6zKQkREZGOvXr2SQ4cOybFjx/Rz+M2bN/wdEJHbY7pVHMJB34ABA8LdvmnTJtNlZOydOXMm1Pr69evrEpkaNWrI3bt3Q922fPlycVYhISHSo1gPLZ+TIEECew/H5b1+/VoDyyhDhMAxcX+7Er6+iYiIKLJ2CTgJ2K9fP9Nt+D5crVo12blzZ5ztuIcPH+r/fn5+FtejzQMWA3q9G99jsFgbngMnQm3xXM6K+4j7ia8n/s05Ir43RQ5Z+ijfjZ5+KVKk0Ex9fN4x+MfXkvnfkCPTXnxWasbHHn/ujYE/sovDhw/rTNq9e/dKyZIl+VsgIiIiIiJ18uRJDdbhJB6gokqJEiW04klM3blzRycdYhvmcP3UqVNxdkKpR48e2keoYMGCFu+DnoDDhg0Ld/vt27fl2bNncTKOqMaI4CROhHIiIPcRX0vWx7857iO+lqwPCRI4v4hJPsj6y5kzp/byjayimjtz1/elx48f23sIRHbBwJ8DQWnQjh07Wlx34sQJyZIli83HREREREREZG1XrlyRH374QdsbXL9+3eJ9MmTIoOU1ccxkqZe6vaDXH8qLbdu2LcL7IOMQfQbNM/7Q9iF16tSSLFkym5zs8/Dw0Odzp5N9McF9xP3E1xP/5hwR35ssu3Dhgpw/f168vb31+0HWrFn1c5WfcXwthYVgsDP0+LPWtsl9MfAXRwICAt56G82bN9fFnfRc21N8z7LRrrV5iIdkjpdZAkMC5Y24X63zFU1X2HsIRERERBQBBMTQdw+lMCMrzYU+6qNGjZIJEybIZ599JuPHj49yn6ZKlUrixYtnyh404DrKgb0t9F5fuXKlbNmyJdJgJHoFWuoXiBOUtjpJicCfLZ/PGXEfcT/x9cS/OUfE96bQkN136dIl3S8I9hUqVEgz/PkZx9eSJfzeQ+6K3/iJiIiIiIjIbiZNmqTlLvPlyycDBw6Uv//+WwIDAyU4OFiCgoLk8uXL8tdff2k/9bx58+p9v/3222ht28vLS8uErl+/PlT2BK6XLVs21mNGgBJBv6VLl8qGDRske/bssd4WERERRV/8+PG1fZC/v78UK1aMgR1yah5WXsh9OWTGX9KkSbXROmZsxBRKvyRPnlwPHomIiIiIiMix1a9fX/r27asn8SxBJh2WmjVryvDhw2X37t3yzTffxCijsHXr1tpbvHTp0nqsiIBi27ZtdX2rVq0kY8aM2ocP0CsIrRaMy8g0PHTokB6n5sqVy1Tec+HChbJ8+XLx8fGRGzdu6O2+vr6SOHHit94nRERE9D/379+Xp0+f6uc1oEy2LUplE1kbS32SWwX+njx5Yro8dOhQPchatmyZVZ/TVs8TlU2bNkmVKlW0RrUBgUz0vEA5UcwkNV8HOBDFAaYzQVC37cy2cishG+4SEREREbmz33//PUb3L1OmTIwe88knn8jt27dl8ODBGqArWrSorF69WtKmTavrkVFoXgbq2rVrmkFgQElRLJUqVdLjNUA/QqhcuXKo5/r55591MioRERHFDXxOHz16VC/jnCjOkxIRkRMG/twdgngPHjyIcD2CgM7+IZcgQQJJnCyxeIZ4umXPOSIiIiIiinpCKGb4o3/P20JZTiyWGME8Q7Zs2SLtNQhRrSciIqK3g9LcyMC/ePGiXk+fPr1m3xO5EvSqxGKtbZP7sluPPxxMjRw5UooXL66p2dWrV9eZlcaL0si+Q/N2NEvHG7vx5o43/u+++057QKCsSu7cuXXGpgFlW5o0aaLr0AMi7IFcWJae5/Dhw/p48+xDZNahITvGiW0i+DZlyhT94EFj+CFDhoQ6AFy3bp2WksH9UHf6zz//FFt6/vy5PHr0KNTiKM6fPy9/j/tbgm4G2XsoRERERETkQHbs2KFZfZgQafTO69Gjh7Rr106OHTtm7+ERERGRlaHU9q5du0xBP5zfRc9e9PcjIiIHDvzBrFmztC8Cyq0gcNaiRYtQ6+vWrSv9+/eX2rVrawDOCMJNnTpV+zIsWLBAg1lozJ41a1bT4xYvXiydOnXSrLmWLVtGWWrF0vMUKVJEP1TMS8jMmzdPqlWrJhkyZNDrjx8/lgMHDmgQC4HA2bNn633gyJEj0qhRIxkzZozcu3dPZsyYoWM5ffq02Ap6VOBg2VjiYqZsXHn48KEE7A+Ql09f2nsoRERERETkIA4ePCjvvfee7Nu3TydVGhMr0Tdv7ty5uhAREZHrwrneLVu2yN27dzXQhx7AefLkYfYSuWxwxpoLuS+7/v47d+6sWXtJkiSRcePGycaNG7WMZVTQTwE9+TDTA9mBWbJkkfz585vW16pVS3stxIsXTxu2X7p0ST8sYurTTz+VOXPmmK7jINNoAG9kHo4dO1bHj58DpWPmz5+v6xDoQ8CxatWq2i+ifPnyGlhcsmRJtIJiyBI0lkGDBoVajyCnsQ5N6iPSr18/3ZaxBAYGxngfEBERERER2QqqqKBySc6cOUPd3rhxYw0CoqoKERERua6bN29KcHCw9vPD+VQkixARUczYNT/aPEsPjdVRRhPlNKOCQB7Ke0bE/AMBHxJGdl7KlCljNL6mTZtK7969Na0cWYl37tyROnXqmNYnSpRI0qRJE+rnMcYfEBAgGzZs0ObuhlevXmlZ07ft8YefPzo9/rA/sRARERERETmDbdu26eTOv//+W2f3GwoUKKD/X7582Y6jIyIiImvLlSuXfhfAedYECRJwh5NLQxs+a7XiY4s/92bXwB8CWIZbt27pzM6MGTOGug+y5cLCG/+5c+ekbNmycTYWS8+D4Fq9evU00+/69evSvHlz8fLyMq1/9uyZjtsI/uEg1Bg/ymp2795dS30SERERERFR1J4+fRpukiiggon5eiIiInINL1++lDNnzmg1NVRvQ9APwT8iInLSUp8oh4med0jf7tu3r1SsWFEyZcoU6j7IBESAENlyho4dO8qwYcPk0KFDWu4FAbeTJ0++1VgsPY95uU/0DUQz+bDBQpTTxPjxc0ybNk2Dg8YYke2H8qUhISEa1Ny5c+dbj9NVIED6bst3JbFfYnsPhYiIiIiIHIQR8Fu1apXpNhxPGe0PsmXLZrexERERUdx68uSJZvtfuHBBjh49yt1LbgfJfp7iYZXFSomE5CTsGvhDIA3lNBF0Q4nMBQsWhLtPo0aNtDxm6tSpTeUtu3Xrpv0B0efBx8dHqlWr9tYlXyw9Dxi9AnPkyCFFihQJ9Rg8d9GiRXUdgpatWrUy9dwrVqyYLFq0SAYOHKjbRKALB6sIANK/gdaitYtKQl+WIiUiIiIion/VrVtXJ3c2bNhQZ/yDn5+fzJo1S6+jIgsRERE5P1RR27p1qwb/0E4pe/bs9h4SEZHLsGupT39/fxkwYEC423GgZ8BB3ubNm8Nl2vXq1UuXsJCdZw5BPPPtRcTS84BRU7p+/foWH9e1a1ddLKlataouMYFAY0T9/TC7NTo/izO4f/++FH1YVL6u/3WMey9SzL1+/dpUltZSWVsiIiIiIkeAiZPI9jt27JjpeAz92qFw4cLSv39/O4+QiIiI3tbZs2fl1KlTpnOyJUuWlIQJmRxA7oc9/sglA3/OAOU59+3bJ0uXLrX3UFzKxYsX5T//+Y9mRjLwR0RERERERlUVHIN9++23GgC8ffu2VlCpWbOm9OjRQ5ImTcodRURE5KRQvhutm65du6bXkWxRsGBBTlInIopjbhX4i+ggEbNGLc0crVGjhuzatUsmT54svr6+cZrpiH6CYbVo0UKmT58eZ89DRERERETkTIwWDsj8w0JERESu48WLF3Lnzh3N6C9UqJCpty+Ru/L0+Hex1rbJfdkt8BcQEGDz50TN6JhYvXp1rEpyRuX48eOxepwr6rm2p/iejbugKlmGdq6Z42WWwJBAeSNxWy52RdMV3O1EREREFCfQ3gCl6V+9ehVuXebMmXWdpUmURERE5PgSJ04spUqVMpX4JCIi63CrjD8iIiIiIiJybJb6mqNn9dWrVzVDgIiIiJyr3Q8CfunSpdPrDPgR/Q97/JFLB/5QghN9HJDiHVNt2rSR5MmTy6RJk6wyNrIOfOCnypZK4nnF4y4mIiIiInJjR44c0X4/5ubNmxfq+okTJ/R/Ly8vm46NiIiIYgeTdo4ePaplvOPHj6/V03A+kIiI3CTwZ16Cc+jQoXrQt2zZMqs+p62eJzqCg4Nl5MiRsnjxYm1umyJFCnnnnXekX79+UqJEiQjHig/MunXrapN7Z5M/f35pPLaxVUpPEhERERGR81i6dKl8/fXXoTL+2rZtG+5+yPbLnTu3jUdHREREMfXs2TPZt2+f3L9/Xz+/8+TJw6AfkQWe/79Yg7W2S87BIQJ/7uzly5fywQcf6MEtAn/IekSj2+XLl+sBMAJ/RERERERE7lDe0yjlaancJyZIjh071uZjIyIiouhDsA9BPwT/EiRIoOc2U6dOzV1IRGRDnrZs0o6stuLFi0uyZMmkevXqmt1mHNwZGW2jRo2SlStXavlPLEZq+HfffSf58uUTHx8fneW5evVq07aDgoKkSZMmui5v3ryyadOmSMdi6XkOHz6sjzfPPkQPiYQJE+o4sU2UFJ0yZYqkT59e61IPGTIk1AHpunXrpHTp0no/f39/+fPPP6PcLwsXLpSTJ0/qWLBv8IHo7e0tzZo1kxEjRsjbeP78uTx69CjU4igOHjwo05tPl4cBD+09FCIiIiIisiO0b9i4caNs2LDBdHyF68aCYzEcr125ckVq1qzJ3xUREZGDCgwMlB07dmjQD+dbK1SowKAfUTR6/FlrIfdl04y/WbNmyapVqyRLlizSuXNnadGihR7cGVC2sn///uHKWk6dOlV7+P32228aHMOHCIJ9BmTKIci2YMECGT16tB44BgQERDiOiJ4HQcPff/9dH2/0lahWrZpkyJBBzpw5I48fP5YDBw7I+fPntT71+++/Lzly5JDWrVtrX4pGjRrJH3/8oSU48SH34Ycfyp49e3S7EVmzZo0evCJYGNewL4YNGyaOCAf0r1+9tjiTl4iIiIiI3EfWrFl1gVatWunE0EqVKtl7WERERBRDDx8+1AQOJEwUK1ZMe/sREZHt2bTUK4J9yNpLkiSJjBs3TmdvYtZmVH744Qftc4fUcBwEInCIHnGGWrVqabAtXrx42gvi0qVLcvfu3RiP79NPP5U5c+aYrs+dOzdUbwl8cKG0DMaPn6NLly4yf/58XTdjxgwNGFatWlU8PT2lfPnyUrt2bVmyZEmkz3n79m3JmDFjlGP766+/NDhovmzbti3Sx6BHID5wjQUBUyIiIiIiIkeF47Gff/7Z3sMgIiKiWChQoIAUKVJESpYsyaAfUTR4elh3Ifdl02kXxixOSJs2rZbRRDnNqCCQF1kTd8wiMaBMJiA7L2XKlDEaX9OmTaV3795y8eJFuXHjhty5c0fq1KljWp8oUSJJkyZNqJ/HGD8yDJG9aH6Q+urVKy1rGplUqVJFax8ge9A8OxEQ7IwM9i8WIiIiIiIiZ4CKKpHBRFBUYCEiIiL7Q1uhCxcuSOHChTURAgsSNoiIyI0CfwjgGW7duqU96MJmu+EDIiwE2M6dOydly5aNs7FYeh5k0dWrV08z/a5fvy7NmzcXLy8v03rUp8a4jeAfyn0a48+cObN0795dxowZE6NxoNfhl19+qRl5vr6+b/1zEREREREROauIWjYg4Ic2AfifiIiI7A/nTg8ePCghISGSOHHiSFsdEZFl+GZrrW+3/Nbs3mxa6hPlME+fPi3BwcHSt29fqVixomTKlCnUfZAJiAAhsuUMHTt21F516MmHgz0E3E6ePPlWY7H0POblPtE3sF27duGChSififHj55g2bZoGB40xItsP5UvxgYeg5s6dO6McJx6PsqEfffSRflhiPNg+SoQOGjRIXBVKtTYZ30R8MvrYeyhEREREROQgcIyI/n7GghYKOGbEcSBaLrD3HxERkX3hM/nUqVOyb98+PQeaOnXqKDP2icgyTw8Pqy7kvmwa+EMgDeU0EXRDecsFCxaEu0+jRo20PCY+NJCBB926ddP+gI0bNxYfHx+pVq2aBv/ehqXnAaNXID6wUJPaHJ67aNGiug4HpGg837p1a12HhrWLFi2SgQMH6jaRCYjAHQKAkUmQIIGsWbNGKlSoYBoTypoi8IfsQ1eFmUB+mf0knlc8ew+FiIiIiIgcxKZNm3QypbFs2bJFj/0wiRQTJDHhkoiIiOwDCQsI+J09e1av4xxpmTJl9PwmERE5Do83mKZhA9myZZNJkyZJ3bp1xdFVrVpV6tevL126dAl1AIqxP3jwQJy57jbKiaKsaFS9B60NfRQRJB0xYoRkz57drmNxB69fvzaVqbVU5pa4v50ZX9/c566Or3Hub1fG17dzf6e3Nfy8OK48cuSIODtb/x75t8Z9xNeSbfFvjvvIFV9LQUFBsmfPHnny5ImOBQkTYSu5ufs+cmTuup8c9buzMa41p2aKt08SqzxH0OOnUj1fB4f72ckFe/w5A5TnxMyVpUuX2nsoLu3u3buycOFC+eKLLxj4IyIiIiIiZamyC3qtr1q1Sk80nj9/nnuKiIjIToEjfCYnSpRISpUqFaqCGhERORaXDvwlTZrU4u39+/fXJawaNWrIrl27ZPLkyRpxjyv+/v7aTzCsFi1ayPTp0+PseYiIiIiIiJwZMvo8IuhHgtvz5s1r8zERERHRvy2QSpcuLd7e3hr8I6K35+nx72IN1touOQebBf4CAgJs9VQmmBEaE6tXr45wHXr/xbbM5/Hjx2P1OHfQc21P8T0bd0FWssxDPCRzvMwSGBIobyT21X1XNF3BXUxEREREVhVRNwpM7Jw4cSL3PhERkQ2EhIRoee0sWbJIypQp9TbjfyIicmwOn/GHgzuU3yxUqFCMH9umTRtNO0dvQSIiIiIiInJsQ4YMCXdbwoQJJXPmzFKzZk3x8/Ozy7iIiIjcSXBwsOzdu1d7g925c0eqVq0q8eLFs/ewiFwOCl1EUOwiTrZN7svhA3/mWXtDhw6VQ4cOybJly6z6nLZ6nuiYMGGCzJgxQ65fv65p9GicO2vWLC2Bs2nTJqlbt26sMxHtKW3atFLs42KS0DehvYdCREREREQOHPgjIiIi27l3754G/V68eCFeXl5SvHhxBv2IiJyMwwf+3Nkvv/wiU6ZMkZUrV0rBggU1wLd27doIe144k4wZM0rZZmXfuvQkERERERERERERvb1Lly7J0aNHtex2smTJtKdf4sSJuWuJrARn+T2tuG1yX9Z6XcUIstdGjhypM0jwoVK9enW5du2arkOQy8i+GzVqlAbBUP4TC7x+/Vq+++47yZcvnzaZzZ07d6hefUFBQdKkSRNdh0bwyJKLjKXnOXz4sD7ePPvw6tWrWnIG48Q2UVIUQbr06dNLunTpdKaqeW+KdevW6Ycl7ufv7y9//vlnlPtl165d8t5772nQD/DYxo0bS9asWaO1X58/fy6PHj0KtTiKx48fy9XjV+VV8Ct7D4WIiIiIiOwIpcOiu8SPz7mrREREcQ3nMNHPDwsuY8J++fLlGfQjInJSDhH4A5SvXLhwody4cUMDZy1atAi1HiUt+/fvL7Vr19YAnBGEmzp1qvbwW7BggQa21q9fHyowtnjxYunUqZNmy7Vs2VL7/kXG0vOgvCaChr///rvpfvPmzZNq1apJhgwZTIGsAwcOyPnz5zUQOHv2bL0P4EOzUaNGMmbMGE2XR+lOjOX06dORjqVcuXKyZMkSDYpu375dnj17FqN9Onr0aPH19TUt6IvhKM6ePSvLv14uT278L5hKRERERETuBycYY7IQERFR3ELixatX/07Oz58/P8t7Etnwb8+aC7kvh5ku2blzZ83ag3Hjxmnw78qVK1E+7ocfftCefCVKlNDrWbJkCbW+Vq1aUrlyZb3ctm1bGTRokNy9e1dSpkwZo/F9+umnMmfOHFPgcO7cuTJixAjTemQejh07VpIkSaI/R5cuXWT+/PnSunVrDfThcWiEC5gxg8AignoYT0SaNm0qCRIkkJ9//lm++eYbefnypTRr1kwDnd7e3lGOuV+/ftKzZ0/TdQRGHSn4R0REREREhGMmIiIisi8kPiCZIqbnTImIyPE4TODPPEsvbdq0WkYT5TSjU3sa5T0jggCiwQiWITsvph9iCML17t1bLl68qFmJd+7ckTp16pjWJ0qUSNKkSRPq5zHGHxAQIBs2bNAAngGzaFDWNCoNGzbUBTNbkfXXvHlzzQBEOdKoYB9iISIiIiIiclTmx0lERERkG0i4uHXrlhQrVkwzg1BSm0E/Itvy+P9/1to2uS+HCfwhgGfAhw7606GetDlPz/CVSRFgO3funJQtWzbOxmLpedBfr169eprpd/36dQ3AeXl5mdajDCfGbQT/Ll++bBo/suy6d++upT5jCx/AyBREEBBNdomIiIiIiFwVWgOsXbtWbt++LalSpZIPPvhA8uTJY+9hEREROT0kF5w8eVLbFRkJGGHPwRIRkXNzmB5/KIeJnnfBwcHSt29fqVixomTKlCnUffBBhAChUXMaOnbsKMOGDZNDhw7pBxcCbvjwehuWnse83Cf6BrZr1y5csBClNTF+/BzTpk3T4KAxRsxi3bhxo4SEhGhQc+fOnVGOE49Zvny59ieEY8eO6fV3331XnB1KmHr7eYtnPId5CRIRERERkQPA8SD6C3Xr1k2GDx+ukygLFCggffr0sffQiIiInBraCO3evdsU9EMVtQwZMth7WERuC234rLmQ+3KYqAsCaSiniaAbSmQuWLAg3H0aNWqk5TFTp06tGXiAg0H0B2zcuLH4+PhItWrVNPj3Niw9D6BXINLec+TIoXWvzeG5ixYtqusQtGzVqpWpVwVS5hctWiQDBw7UbWIWDXr7IQAYGTz3hAkTdJvYft26dXUfucIBb6FChaT1D60lWZaoy50SEREREZF7QIUV9DdHD3VM7DQWXMexEdYTERFRzKH10ZYtWzSbHuc3S5QoIfny5dMqY0RE5FocptSnv7+/DBgwINztOMgz+Pn5yebNm8Nl2vXq1UuXsJCdFzaQZr69iFh6HsAHIUqL1q9f3+LjunbtqoslVatW1SUmUFoUS0QQiDSyAZ3RoIqDtDSqpdKqFLdwosQoRcv9TURERESO6vvvv9f/cSISx3homxAYGCgTJ07UiilYb0ywJCIioui5efOm7N+/XyuRJUmSREqVKqVJD0RkX4g3WCv4zqC+e3OYwJ8zQHnOffv2ydKlS+09FKeHPoU1a9aUVatWhcueJCIiIiIi93T8+HE9SbFy5UqtfGKoUqWK5MqVS9cTERFRzHh5eWkyBPrmItMP14mIyHW5bapV0qRJLS6jRo2yeP8aNWpooGry5Mni6+sbp5mOlsbRqVMncfWa4tevX9f/iYiIiIiIwKjQgmwEc4kSJQq1noiIiKIvRYoU8u6770qZMmUY9CNyIJ7iYdWF3JdDZPwFBATY/DmfPHkSo/uvXr3aKiU33X3Gas+1PcX3bNwFUskyD/GQzPEyS2BIoLwRyydLVjRdwd1HRERERHaVN29eOXz4sDRs2FBbQaDU55UrV0wTNLGeiIiIIhcUFCQHDhzQKltGSU8E/4iIyD04ROCPiIiIiIiIqF27dtKtWzdts1C7du1QOwQlQNu2bcudREREFInbt29rPz9U2Tpy5IiUL1+e+4vIQaG9n5Va/Fltu+QcHK7UJ8pcov9bbLRp00Z69OgR52MiIiIiIiIi6/v888+lefPmWtIz7NK0aVPp2rUrfw1EREQRuHDhguzevVuDfsjwK1myJPcVEUXbtGnTJFu2bFpmH6WB9+zZE2klwwYNGuj9MUFv0qRJb71NcuHAH0pwFipUSC8PHTpU6tata/XntNXzRMeECRMkT5484uPjI6lTp5Zq1aqZSqFu2rRJkidPLq4gd+7c8vHgjyVpuqT2HgoRERERETkInDSYP3++bN68Wb766itp3769/o9joV9++cXewyMiInJIISEhcvDgQT0Rj8kyKJWNnn5Gj1wictz2TNb8FxOLFy+Wnj17ypAhQ0ylgqtXry63bt2yeP+nT59Kjhw5ZMyYMZIuXbo42SbFHZb6dCA4kJ0yZYqsXLlSChYsqH0D165dqwe/rgaBzYz+GSPtOUdERERERO6pQoUKuhAREVHkXrx4oVl+OI+Ic4j+/v6SPXt27jYiJxCbAF1Mtg2PHj0KdXvChAl1CWvixInSoUMHU2n96dOny19//SWzZ8/WiXhhlSpVShewtD422yQnz/hDaufIkSOlePHi2mAWUd5r167pOnxAHTp0SJYtW6YN3BEEQ/lPLPD69Wv57rvvJF++fBo8QubY6tWrQzWvbdKkia5D43fMDI2MpedBM3k8HtmHhqtXr+ofBMZpZN4hSJc+fXqNaCNqjRk1hnXr1knp0qX1fvjA/fPPP6PcL7t27ZL33ntPg36AxzZu3FiyZs0ai70s8vz5c/3DNl8cBfbnzoU7JfhesL2HQkREREREDmL79u16guCff/7R66tWrdLjOj8/Py0BiuM9IiIi+p8ECRKIl5eXLu+88w6DfkQUCjKAfX19Tcvo0aMtTiBAb1BUHzR4enrqdfTejg1rbJOcoNTnrFmzZOHChXLjxg0NnLVo0SLUepTe7N+/vzZ0RwDOCMJNnTpV68UuWLBAA1nr168PFRhD+minTp10lkvLli21719kLD0PUk5xcPn777+b7jdv3jx9UWbIkEGvP378WNNTz58/r4FARKlxH0Dj3EaNGmma671792TGjBk6ltOnT0c6lnLlysmSJUs0KIoD3mfPnsnbwB+x+R81/sgdxc2bN+Xg8oPy/OFzew+FiIiIiIgcxDfffCNffvmlXLlyRScyIth39uxZPb779ddfZfjw4fYeIhERkUMwEhCQRIHkCmTKp0qVyt7DIqIYwN+vNRcIDAyUhw8fmpZ+/fqFG8edO3e0ZHDatGlD3Y7riN/EhjW2SU4Q+OvcubNm7SVJkkTGjRsnGzdu1IO7qPzwww/ak69EiRL64s2SJYvkz5/ftL5WrVpSuXJliRcvnqaQXrp0Se7evRvj8X366acyZ84c0/W5c+eaUlKNzMOxY8fq+PFzdOnSRXtRAAJ9CDhWrVpVo9jly5fXwCKCepFBs/qff/5ZduzYIR9++KGkTJlSU2FjO6sVf8Tmf9T4IyciIiIiInJU6E8EOKYzypbheK9OnTp6gnPp0qX2HiIREZFd4Zzk0aNHNfHAPOsP5yiJiMJCxUXzxVKZT3I9dgv8mWfpIcqLFxzKP0YFgTyU94yIeSNJb29vU3ZeTCEIt3fvXrl48aKmniJCjYNNA5rjpkmTJtTPY4w/ICBA69WiVKexLF++3FTONDINGzbUOrf379+XNWvWaI8/ZADGBvZp2D9sIiIiIiIiR3Xr1i39P1OmTHpSE5M9e/bsqRMxITrHjERERK4K2fBoFYRzj5cvX9aJ/kTkvBCc8fSw0hKDcSBbGIlUqNJnDtfN4y1i522SEwT+EMAzP7jDB1fGjBlD3QfZcmEhwHbu3Lk4HYul50Gwrl69enqAicw/lJhBrWwDynAaB6WAD1tj/Cip2b17d52daiwoIYpsxejCAS4yBREIxAEvERERERGRqzOyFRDg27dvn17OkyePxI8fXy/j5AEREZE7QpBv69atWtkMn4ulS5fW1j5ERG8LcQ9UWERbNfPsYlwvW7asw2yTnCDwh3KY6HkXHBwsffv2lYoVK+qsTnPIBESA8NWrV6bbOnbsKMOGDZNDhw5pqRcE3E6ePPlWY7H0POblPtE3sF27duGChSilifHj55g2bZoGB40xomQnypeiji2CmsgajGqceAwyAxEohGPHjun1d999N9T9EHQ0X/AczgZlTPNXyS9eSf8XTCUiIiIiIvdmVHcpWrSotlLAiU1cxnEfpE+fPlbbxfFatmzZtHJLmTJlZM+ePRHe9/jx49KgQQO9PyZkosf8226TiIjobWBCzPbt2/U8JCqcoZ9f2L5ZROR8PMTTqktMoMrGzJkzNREKcQy0akMLMqP9WatWrUL1B3zx4oXGaLDgMt6ncNk8aSuqbZILBv4QSEM5TXxI4UWxYMGCcPdp1KiRlqdMnTq1ZuBBt27d9AXSuHFj8fHxkWrVqpkOAmPL0vOA0SswR44cUqRIkVCPwXPjABTrELTEC79169a6rlixYrJo0SIZOHCgbhOZgIMGDdIAYGTw3BMmTNBtYvt169bVfdSnT59Qs3sSJ04cajF6CzoTZG5W6VRFkqRm/XEiIiIiIvrfyQF49OiRzgjGcRaOjVavXq23x2Z2MCZyYrtDhgyRAwcO6LFd9erVQ1VwMff06VM9JhszZkyEZYhiuk0iIqLYunDhgn7WYOI/2g4h6Jc0aVLuUCKKU5988omMHz9eBg8erHEPBPHwHdyYZIAYzPXr1033R1szxEGw4HY8Fpfbt28f7W2S9Xi8QdqcjWFWJGZNIrDl6KpWrSr169eXLl26mG7btGmTjt3IzHMWOHhGCQAED+3d7w+RfZTuKVmypKkXI1kPTprgJAS+IFoqbUvc386Mr2/uc1fH1zj3tyvj69u5v9NbC3oX7dixQycL4lgMWXc4BkOVllKlSkmBAgVitD1k4+FxU6dONb3u0J6ha9eu8tVXX0V57NqjRw9d4mqb9vg98m+N+4ivJdvi3xz3UVy+lk6cOKHBP5S+zps3r34uEv/e+L7k3N+djXHtDfhFkiazTmLMk0dPpVS2Fg73s5Nt/NsogSxCeU4Ep5YuXco9FMeQ2ouMyr1792rwj4iIiIiICN555x1d0Nbgxo0bkiJFCj12iA2UHdq/f3+oskSYCIfKMTjes9U2Uf3FvAIMTvYYJ3SxWBueA3N+bfFczor7iPuJryf+zTnaexI+W/A/2uVgcgky4PFeboccDofG92/up6heH0TuyG0CfxGlwPfv31+XsGrUqKEzTSdPnhynjXL9/f11pmpYLVq0kOnTp8fZ8xARERERETkj9EpHq4Tdu3ebTnwiEDh8+PAYBwDv3LmjpdHClhPC9VOnTsVqfLHZ5ujRo7VXfVi3b9/WAKe1YT9itjdOFrMCCPcRX0vWx7857qO3gc8GTJjHRHn0kTXev9Hfj/j3xvelmHn8+LFD/9l4/P8/a22b3JddAn8BAQE2f84nT57E6P5GDwlLcLAZ2zKfaBRP/9NzbU/xPRt3gVVntaLpCnsPgYiIiIjI7v78809p2LChBtaMjAZc3r59u7z//vvy3//+Vz766CNxNsgONPoXGhl/yN5AT3hblfpEaTg8HwN/3Ed8LVkf/+a4j2Lr7NmzWtYzYcKEGvDLkiUL37/598b3pbeA4DmRO3KbjD8iIiIiIiJybKjG8urVK72MTIdMmTLJlStXtAUDAoBYH5PAX6pUqSRevHhy8+bNULfjerp06WI1xthsEydwsYSFIJytAnEI/Nny+ZwR9xH3E19P/JuzF3z2HTp0SK5fv67v0+gxi6phfG/i+xLfl96Oo3/vQctOa7XtZDtQ9+bpaOU4jx49GqvHtmnTJlzDdXLwA6r4nmxITEREREREJufPn9djhPnz58uePXs0ww//z5s3T9efO3cuRnvLy8tLSpQoIevXrw+ViYPrZcuWjdWet8Y2iYjIfT19+lQz242gX5EiRaRQoUIOH7AgIiLH5VCfICjHiQ82GDp0qNStW9fqz2mr54nKpk2bJHny5KFuGzx4sGTMmFGOHTum17dt2yY1a9bU5va4L74IjBs3TpvLO5tixYpJpwWdxDcby3wSEREREdG/8uTJo/+HPUYzrufNmzfGuwolNmfOnClz587VnkmdO3eWoKAgadu2ra5v1aqVluI04PgKWRdYcPnq1at62TzoGNU2iYiIogOln7ds2aL/IzMcE0hQ3pOI3IOHh6d4WmnBtsl98bfvgNDLokuXLrJw4UIN9hUsWFBWrlypQb/q1atrvW/0GFy8eLGcOHFCZwQRERERERE5uzFjxmgZzR9//DHU7QiyJUiQQNfH1CeffCLjx4/XiZVFixbVIB56uqdNm1bXX758OdQx1bVr13SiIhbcjsficvv27aO9TSIiouhWP8OCCf4VK1YUPz8/7jgiInK+wB9qVI8cOVKKFy+uTcwRyMKBFaCkCw6Yli1bJqNGjdJgl/EBaJRP+e677yRfvnzi4+MjuXPn1oMrA2ZYNmnSRNdhJiiy6CJj6XkOHz6sj0f2oQEzPDHrBuM0MvOmTJki6dOn1x4OQ4YMMTWeh3Xr1knp0qX1fqjHjQb10fXy5Utp0aKFzvZB0C979uy67W7duknfvn21nCl6SgD2w5w5cyRr1qwWt/X8+XOdMWS+OArMil3Sd4k8vvrY3kMhIiIiIiI7qlq1qmn55ptvtMJJ79699TinXLly+j+u4/gK62MDEysvXbqkx0i7d++WMmXKmNbhGA/HVebHrDgGC7uEPb6MbJtEREQRwflN4zwiynniHOK7774riRIl4k4jcjMeVl7Ifdkl42/WrFmazXbjxg0NnCHQFbaMC5q2165dWwNwRhBu6tSpMmnSJFmwYIEGsdBDwTzohQy4Tp06aTZcy5Ytte9fZCw9D8pnImj4+++/m+6HfhLVqlWTDBky6PXHjx/LgQMHtP8EDv5mz55t6jlx5MgRadSokc5EvXfvnsyYMUPHcvr06Sj3C5rV16tXTy5cuCCbN282NYZHht/FixeladOmMdrPo0ePFl9fX9OSOXNmcRTBwcFyJ+COhLwIsfdQiIiIiIjIjnBMheMfY7lz546eEA0MDJRdu3bp/7h++/btKCd3EhERObJnz55pPz/z84ToHYtsdyIiIqcO/KH/AbLVkiRJoj3qNm7cKFeuXInycT/88IP25EMjdWQHouZ1/vz5Tetr1aollStX1g9L9FbA7Mu7d+/GeHyffvppqBmf6Ntg3qsBM3PGjh2r48fPgZmeaD4PCPQh4IjZqpi1U758eQ0sLlmyJFof/hs2bNCsRcxyNeAAF9DvLybQp+Lhw4emBQfMREREREREjgTHdWEXTPDEYn7ZuE5EROSM7t+/rxW+kLAQEBCgfWSJyL15WPkfua/49nhS8yw99EBAGU2U04wKAnko7xkRI0MOvL29Tdl5KVOmjNH4kFmHUjLIskNWImac1qlTx7Qeqfdp0qQJ9fMY48cHN4J3P//8s2n9q1evtKxpVDBmZBoiExHP0bFjR73dKO2J58iZM2e0fw7sVyxERERERESOCsdQRERErgz9ZI8eParJBGgxVKpUKc30IyIicpmMPwTwDLdu3dKeCGGz2ZAtFxYCbOfOnYvTsVh6HvSOQMlNZPoh86958+ahPoyRmYdxm394G+NHOc3u3bvr7B1jQQlRZCtGB0qKoidgr1695Pvvv9fb8uTJo30mfv311zj4iYmIiIiIiJwLWgWgikqDBg3sPRQiIqJoQ6Dv2LFjcvjwYb2cPn16rQ5mJCwQkXtDVUNrLuS+7BL4QzlM1LLGwVvfvn2lYsWKkilTplD3QSYgAoTIljMgA27YsGFy6NAh7fGAgNvJkyffaiyWnse83Cf6BrZr1y5csBBlNDF+/BzTpk3T4KAxRmT7oXwpevYhqLlz584YjRNlQv/66y/dN+hriD/SKVOmaN9A/G+ULz1z5oyO0zyQ6iyyZ88uH/T4QJKkTmLvoRARERERkQN6+fKlTops1qyZVlxBZZZly5bZe1hERETRtnfvXq0oBnnz5tX2RfHj26UAGxERuRG7BP4QSMNBG4JuKF+5YMGCcPdp1KiRlsdMnTq1ZuBBt27dtD9g48aNNS0e2XEI/r0NS88DRq/AHDlySJEiRUI9Bs9dtGhRXYegZatWraR169a6rlixYrJo0SIZOHCgbhOZgIMGDdIAYExUqlRJ/v77b+nfv79MnjxZ+wSuWrVKA4Io94mxNmzYUHsMYraQs0EPw1xlc4lXUpY1ICIiIiKifyEbYu3atXrMiONFVGLBZMygoCCd/ElERORMkOiAQB9Ke6KiFzNwiMgce/yRtdhliom/v78MGDAg3O3mB3J+fn6yefPmcJl2KIGJJSxk55lDYCw6B4aWngfwQYzSovXr17f4uK5du+oSUcYelphAoBFlQc1VqFBBHj16ZLqOUgCrV68WV3Dz5k1JfSK1DOw40CkDl0REREREFHe2bNmirQ3++OMP7bEO5sdzOD5DSwVk/xERETl6xnqCBAn0MhICkBjAfn5EZImnx7+LNVhru+QcmFseAZTn3LdvnyxdutS2vxE3gUxPlG1FJiMDf0RERERE7gt90q9duxYu2IcKK6VLlzb1Op84caLdxkhERBQVfIahJVBgYKBO5k+UKJHezqAfERG5RalPW0uaNKnFZdSoURbvX6NGDalZs6aW2PT19Y3TTEdL4+jUqVOcPQcREREREZGzTQo0An5lypSRkSNHytGjR+XcuXMWK8UQERE5YpYf+vmdPXtWnj17Jjdu3LD3kIjICaCqhTUXcl82z/gLCAiw9VPKkydPYnT/yMppWirJGV3Hjx+P1eNcWc+1PcX3bNwFV53ViqYr7D0EIiIiIiK7MU5MPHz4UB4/fhzjYzgiIiJ7wWcWgn74H22KihYtqiU+iYiI7IWlPomIiIiIiMhucubMKefPn9fLKJE2duxYXdKlS6cZgERERI7q1q1bsn//fnn16pWW9kSJ6risHkZErs3j//9Za9vkvhyi1CfKXaKUS2y0adNGevToEedjIuvCl6BsJbJJgiT/NjsmIiIiIiL3hLJoyJTo3bu39vtD2U8s169fl+XLl5vu16FDB9m0aZNdx0pERGTA59Tu3bs16Ofn5ycVK1Zk0I+IiByCQwT+kApfqFAhvTx06FCpW7eu1Z/TVs8THcHBwTJw4EDJnTu3eHt7S6ZMmaRhw4Y6Yyiy4Ga2bNlk2bJl4qyzemv1qSXeab3tPRQiIiIiIrKzEiVKyLhx47Q1xLZt26Rr166a8Wf0/oPZs2dLtWrV7DpOIiIiQ+rUqcXHx0eyZs0qZcuWlYQJE3LnEFGMeJhl/cX9P3JnDhH4c/fmvx988IHOXF28eLH2D0R5m/r168vSpUvFlX/u4EfB8vrVa3sPhYiIiIiIHMi7774rkydPlqtXr8r69evlP//5j2ZSGJmARERE9vL8+XPT5fjx40v58uWlcOHC2tuPiIjIUdjsUwnZaSNHjpTixYtLsmTJpHr16nLt2jVTI/dDhw5p9tqoUaNk5cqVWv4TC7x+/Vq+++47yZcvn86kQWbc6tWrTdsOCgqSJk2a6Lq8efNGWf7F0vMcPnxYH2/eRB4Hmpitg3Fim8mTJ5cpU6ZI+vTpdfbpkCFDQh14rlu3Tmt5437+/v7y559/RrlfFi5cKCdPntSxYN8kSJBAs/6aNWsmI0aMkLf9MvLo0aNQi6NAadefO/wsjwIdZ0xEREREROQ4cJxYpUoVmT59uty4cUP++usvadWqlb2HRUREburu3bt6ftDoS2sE/4iIYsvDw7oLiSZa/fzzz9KuXTt57733NEO7Tp06GtvZsWOHy+4im05HmTVrlga6cNCGwFmLFi1CrUfpzf79+0vt2rU1AGcE4aZOnSqTJk2SBQsWaPAKsz6RRm9AplynTp30l9iyZUstjRkZS89TpEgRDRr+/vvvpvvNmzdPS8lkyJBBrz9+/FgOHDigH/D4oEepGdwHjhw5Io0aNZIxY8bIvXv3ZMaMGToWZO9FZs2aNVKzZk0NFsa10aNHa21xY0G/DCIiIiIiImcTL148PW7CQTsREZGtXbx4UXbu3CkvXrzQBAFmoBMRObZr165J+/btNYkLCVZot1a0aFEN/qHV2saNG+X999+XAgUKaHzJ1dg08Ne5c2fN2kuSJIn2b8DOvXLlSpSP++GHH7QnH/o+YNZnlixZJH/+/Kb1tWrVksqVK+vBYNu2beXSpUs6CyemPv30U5kzZ47p+ty5c3V7BmQejh07VsePn6NLly4yf/58XYdAHwKOVatW1fR+pPojsLhkyZJIn/P27duSMWNGsYZ+/frJw4cPTUtgYKBVnoeIiIiIiCi2GjdurBMso2vfvn36GCIiImvDuUBUCTt27JgG+3AODyWpcX6SiOhteYqHVRd3VqxYMW0XsH//fk3kWrRokUyYMEGDgN9//71s2bJF7ty5I4MGDdKks/Hjx4srsWk+unmWXtq0abWMJsppRgWBPJT3jAiyBw0ok2lk56VMmTJG42vatKn07t1bZ/EgKxG/eKR9GhIlSiRp0qQJ9fMY40cT+g0bNoSagfrq1SstaxqZVKlSRbkPUP4TPfHCwm1YFxHsXzYWJiIiIiIiR4aqK3/88YcULFhQGjZsqOV30DrBOJ7DpE6ccEWmBe57/Phxew+ZiIjcwLNnz3Syyf379zXQhySEnDlz2ntYREQUDSdOnIgyPpQ4cWKNCWGJTSKZI7Np4A8BPMOtW7e0B13YbDdLzXARYDt37pweAMYVS8+Dcpv16tXTTL/r169L8+bNxcvLK9QHPsZtBP8uX75sGj/KaHbv3l1LfcYEeh1++eWXmpGHcpyW4OcPW28WfQ1v3rypvROJiIiIiIicVbdu3bSPH/qAI8AXGWRb4BgN1WSIiIisJSQkRLZt26al4TDpHlXIUqdOzR1ORHEKkwqslUHs7pnJKWOYFBbT+zs6m5b6RDlM9LzDh2bfvn2lYsWKWk/VHDIBESBEtpyhY8eOMmzYMDl06JAe6CHgdvLkybcai6XnMS/3ibquaPgYNliI8pkYP36OadOmaXDQGCOy/VC+FF8OENTEjNSoxonHo2zoRx99JAcPHtTxYPsoEYo0U0DvQPQUxCxYZPmhz2HPnj21L6F5yVNngrG3/7m9+Ga1HOwkIiIiIiL3gNI6Z86c0eorOKmKYz5LCyZg9unTR+/77bff2nvYRETkwtBOCNl9SZMmlQoVKjDoR0Tk5ObPny/lypWTDBkymBLUcByyfPlycUU2DfwhkIa0SQTdUN5ywYIF4e6DIBfKY+KADxl4xgxQzOhEHwcfHx+pVq2aBv/ehqXnAaNXYI4cOTQ4ZQ7PjQaQWIegZatWraR169ammrGoEztw4EDdJjIBEbhDADAymDW0Zs0a/RJhjAllTRH4Q/Yh5M2bV1+AqDOLg908efJomYGlS5dazFx0BtjHXkm8xMPTvWceEBERERGRaB939IFH5RX0UsKkSvRXx4LLuO3atWtaYQX3JSIiimuYZIJqX4bs2bPr+T+jrRARUZxDVp41F1I//PCDJlLVqlVLHjx4oIlbgLgQgn+uyKalPtGnYcCAARY/WA1ouLh58+ZQ6xHc6tWrly5hITvPHH5Z5tuLiKXnMVJgUVqzfv36Fh/XtWtXXSypWrWqLjGVJEkSGTlypC4Ref/993VxFWfPnpXj3x/XLFAENomIiIiIiHA8VqhQIV2IiIhs5cWLF7J//36twoXJ+Ziob0xcJyIi5zZlyhSZOXOm1K1bN1SrtpIlS2rVEVdk08CfM0B5TjTuRTYdWc/jx4818Ir/iYiIiIiIiIiI7AEtdfbu3StPnz7VQB+uu1qvJyJyTJ7ioYu1tk3/unjxolZsDCthwoQSFBQkrsg560RGE+pwW1pGjRpl8f41atSQmjVryuTJk8XX1zdOMx0tjaNTp05x9hxEREREREREREQUfSgxvW3bNg36oSJX+fLlGfQjInIx2bNnl0OHDoW7ffXq1ZI/f35xRTbL+AsICBBbe/LkSYzuj190RND7D/VfY+P48eOxepw76Lm2p/iejbsgq6NY0XSFvYdAREREREREREQWoE3QmTNndIHUqVNLiRIlTCU+iYhsl5dlrdwsl875ipGePXvK559/rn1c8f6/Z88eWbRokYwePVpmzZolroilPomIiIiIiIiIiMhtmAf9cuTIIQUKFNA+s0RE5Hrat28viRMnloEDB2qGd7NmzSRDhgxa+bFJkybiihwq8Ifyl+ixF5tG7m3atJHkyZPLpEmTrDI2iluZM2eWCu0qSOKUiblriYiIiIiIiIjIZrJlyyZXr16VPHnySKZMmbjnicguMOHAWpMOOJkhtObNm+uCwB8qRaZJk0ZcmUPle2KHG0G/oUOHSt26da3+nLZ6nqhs2rRJ/xjNewCaf/EICQmRCRMmSMGCBcXb21vSp0+vPQnXr18vzgglFApVLyQJkyW091CIiIiIiMgBoD3EH3/8ocvFixftPRwiInIx5i2BEiZMqG19GPQjInvysPI/+teIESNMxxfo5+rqQT+HC/y5O19fX/0SYixXrlwxrUM0evbs2TJt2jS5d++eXLp0Sbp06aIHxc4IP8PpraflxZMX9h4KERERERHZEfpsdOrUSXLlyiWNGzfWBZdRkgfriIiI3tb58+d10n1gYKDpNk9PnhYlInIHv/32mx5fvPvuu/L999/LnTt3xNV52iOVfuTIkVK8eHFJliyZVK9eXa5du6brkPF26NAhWbZsmYwaNUpWrlxpyn6D169fy3fffSf58uUTHx8fyZ07t6xevdq07aCgIK3JinV58+bVD/TIWHqew4cP6+PNZwEh9R8zgTBObBMlRadMmaJZd+nSpZMhQ4aEOiBdt26dlC5dWu/n7+8vf/7551vts82bN8vSpUt1O5UqVdKxeHl5Se3atfWFGpHnz5/Lo0ePQi2OArN5109dL09vP7X3UIiIiIiIyI5wbPXjjz/qMZX58vPPP7OVAxERvRVU0Dpw4ICcOHFCP1sePHjAPUpEDsSa2X7M+DMg5nPkyBHN9B4/frz29/vwww9l4cKFWvrTFdllasusWbN0p964cUMDZy1atAi1HqU3+/fvr4EtI/sNpk6dqgd+CxYs0CAWylxmzZrV9LjFixfrTFF8iLds2VL7/kXG0vMUKVJEg4a///676X7z5s2TatWq6QsCHj9+rF8ajNlCyMTDfQAvoEaNGsmYMWM0q23GjBk6ltOnT8d6f61Zs0YDiTlz5ozR40aPHq1ZhMaCvnpERERERESOBMdTgMmNderUkY8++kgnO+IE7Zw5c+w9PCIiclLBwcGyfft2ndCPZAO0FzJaDBERkXvx9/fXJLALFy7Ixo0bNUGtR48eGp9yRXYJ/HXu3Fmz9lBPddy4cbqjzctaRuSHH37QnnwlSpTQD+wsWbJI/vz5Tetr1aqlUdt48eJJ27ZttRzm3bt3Yzy+Tz/9NNQB5ty5c3V7BmQejh07VsePnwMlN+fPn6/rEOhDwLFq1apaMqB8+fIaWFyyZEmUz/vw4UPNEjSWQYMG6e23b9+WjBkzxvjn6Nevn27TWMzLGRARERERETmCM2fO6PHdqlWrtCrL8uXL5e+//9Z1Z8+etffwiIjICWEy/pYtW/R8GCaWlC1bVk/yEhE5Evb4sw9vb29JnDixfj68fPlSXFF8ezypeZZe2rRpdTYnZt9EBYE8lPeMiHl0Fr88IzsvZcqUMRpf06ZNpXfv3trwEVmJqPmKmaeGRIkShWoAiZ/HGD9KWG7YsEHL0hhevXqlZU2jgqw8SyUHUqVKJadOnZKYwn7FQkRERERE5KiePXumgT9M4jQYl9G+gIiIKKaZfjt37tSJ+zgfhypaOMFLRETu6+LFi1qFEguqM6Kl2rBhw6Rhw4biiuwS+EMAz3Dr1i09mAub0WapwS4CbOfOndNZOnHF0vMg265evXqa6Xf9+nVp3ry5Rn/ND0wxbiP4d/nyZdP4UU6ze/fuWuozrqAP4sSJEzUNNUeOHOIKEJhNmzutxE9ol5cgERERERE5GFQoMe+dHtHtqPxCREQUEQT5cuXKJUFBQdrSB5XBiIgckYeHpy7W2jb965133pG9e/dK4cKFtbIjEr9iU2HRmdjlt49ymIiqYgZO3759pWLFipIpU6ZQ90EmIAKEyJYzdOzYUaOwhw4d0gM/BNxOnjz5VmOx9Dzm5T7RN7Bdu3bhgoUoo4nx4+eYNm2aBgeNMSLbD+VL0UAYQU3MMnqbcWK2KwKRH3/8sWzdulW3iRTU1atXy+effy7OCH0UG4xoIEkzJLX3UIiIiIiIyAGgBFv27NlNC7IAw97uKhMhiYgobuFcGSbqG/LkySPFixdn0I+IiOS9996To0ePysGDB7XSo6sH/ewW+EMgDVFVBN1QInPBggXh7tOoUSNNx0+dOrVm4EG3bt20P2Djxo3Fx8dHqlWrpsG/t2HpecDoFYgDS8wOMofnLlq0qK5D0LJVq1bSunVrXVesWDFZtGiRDBw4ULeJFxF69b1tiRrsIzxHp06dxM/PT2e5Tp48WRo0aPBW2yUiIiIiInIEmNwZnYWIiMgc2uagn9+ePXt0Ej4Yk0eIiBwZ3qusudC/Ro4cKQUKFBB3Ypc6i/7+/jJgwIBwt5sfxCG4tXnz5nCZdr169dIlLGTnmUMQLzoHhZaeB/CHgdKi9evXt/i4rl276mJJ1apVdYkJBBot9fczIAiJaDQWV3DgwAH5/pPvNcW2ZMmS9h4OERERERHZCSZT8sQEERHFxpUrV+Tw4cPazy9+/Pjy4sUL9vMjIiLp2bOnDB8+XFuO4XJk0GbN1bDBWgRQnnPfvn2ydOlS2/5GiIiIiIiI3MimTZvsPQQiInIymOyPtjrnz5/X66gqhipcCRIksPfQiIiizeP//1mDtbZry/f5c+fO6YQOtA3D5I6YOHjwoLZLMy67G7cI/CVNarmPXP/+/XUJq0aNGrJr1y4tpenr6xunmY7oJxhWixYtZPr06XH2PERERERERK4E/dVXrFihPdj/+OMPew+HiIjsCCdy9+/fL7dv39bruXPn1pPCzB4nInINFy9elDp16siJEyf0eqZMmfQYICaVAzdu3GjxsruweeAvICDA1k8pT548idH9V69eHeuSnJE5fvx4rB7nynqu7Sm+Z+MuuGpvK5qusPcQiIiIiIhc5sTuqlWr5Ndff9Wg39OnT+09JCIicgAo7YmgH9riFC1aVDJkyGDvIRERxRKy8qyVmee8GX9ffvmlvHr1Sn755RdJlCiRjB8/Xjp27KiTPmKjXbt2muTl4+MT6vagoCBt5zZ79mxxNW6R8UdERERERESODz2a1q1bp8G+ZcuWycOHD/V2o387szmIiKhAgQKaCV6kSBFJliwZdwgRkYvZtm2b/P7771K+fHm9/s4772jWHwJ16NkXU3PnzpUxY8aEC/zhs2TevHkM/NmqLCf66xUqVCjGj23Tpo0kT55cJk2aZJWxUdx+SWs+ubnc973P3UpERERE5Oa2bNmiwT6U8Llz506oYJ8R8Ovevbs0a9bMjqMkIiJ7wOfB/fv3xc/PT68nSZJEKlSowF8GETk9Tw8PXay1bWd169YtLeNsSJ8+vSROnFhvz549e7S38+jRI/0MwfL48WPNHjSEhITI33//LWnSpBFX5HAZf+ZlOYcOHSqHDh3SmZ7WZKvniY4JEybIjBkz5Pr16/pCxOylWbNmycKFC2XUqFGmF+WzZ89CRbdRAseZvvTgZ/NN5yuPQh7JG/nfAT0REREREbmXzJkzy7Vr18IF+3LkyCGlS5fWgCBMnDjRbmMkIiL7QKm3gwcPyo0bN/QzIW3atPxVEBG5OEz6Q5wIwT6Dp6enBu8QzDNElfWdPHly3RaWPHnyWHyeYcOGiStyuMCfO0PN2ilTpsjKlSulYMGC2ktw7dq1+gLs37+/LrBp0yapW7durHsNOkqDzn+m/CNZGmaRxGn+9wdMRERERETu5erVq/o/jnvKlCkjderU0cXf31/7pBuBPyIici8o6bZ371490YsTvuj9SkTkWpCV52nFbTsnTAYMG6jDbcWKFTNdxrEDEqQis3HjRr1v1apVtbKIkTkOXl5ekjVrVpftE2uXwF+2bNmkQ4cOurPPnTsnZcuWlZ9//ll3Mn5hmMkTEBCgGW7o8YDyn4AoL65PnTpVvv/+ez1ATJcunQbLatSoYfpS0KRJE/nrr790e8ieq1y5coRjQZZf2OfZvn271o9F1p1xG54LM04RsDpz5owG3oYPH66PxYsHzSWROWj0nEBfCgTqcN+MGTPK6NGj9eA1Mrt27ZL33ntPg35GRLpx48ax3s/Pnz/XxWAeDbc3lGg4u+2spKuZThILA39ERERERO7MOI5CTz+c4DWvBENERO7n9u3bsn//fg32oWpUyZIlJUWKFPYeFhER2QACdnGhUqVK+j9iOlmyZHGrfuF2y/hD+UqUp8QO79y5s7Ro0UI2bNhgWo/AGgJnYUtwIuiHHn6//fabFC9eXAIDAzXYZ1i8eLH8+eefsmDBAg22oe8fgogRieh58ubNqw0k8XhAk8dq1appMBHBPByMHjhwQM6fPy+XL1+W999/XwODrVu3liNHjkijRo00sImg444dO+TDDz+UPXv26HYjUq5cOfnPf/6j28HjSpQoEarubEzh53fVVFUiIiIiInINOXPm1OMqOH36tIwdO1YXTPJEBiAREbmXCxcuyIkTJ3SiPYJ9CPq9zfkxIiJH5fH//6y1bWdlBOwic+/evUjXHzlyRBOskDGOyYVHjx6N8L6FCxcWV2OtPNIoIdiXL18+bcg7btw4jeJeuXIlysf98MMPmlmHoBgitAgc5s+f37S+Vq1aGjSLFy+etG3bVi5duiR3796N8fg+/fRTmTNnjun63LlzdXsGZAjiYBTjx8/RpUsXmT9/vq5DliEChkghxQsL2YO1a9eWJUuWRPqcTZs21cxHI1CYMmVKzYw0D2zGRL9+/fRFbSwIkhIRERERETmSs2fPaim33r17a78/nOjFggosy5cvN90Px0Zoe0BERK7rzp07WuYZnwP4THj33XcZ9CMispFp06ZptUZMtsAEPCQyRQbJWYiN4P6FChWSv//+O9R6VPFA3CRTpkzar69AgQIyffr0txojWqOhSiKqLEamaNGi+pliXEaZUPwfdjHKh7oauwX+UD/VgMa8CRMmNPV2iAwCeblz545wPWaFGry9vfV/ZOfFFIJwOPhEGujOnTv1RWJeqhMv5jRp0oT6eYzxI8MQL2CU6jQWHLAaDesj07BhQy1TilKYa9as0RfyyJEjJTawT9Hg0nwhIiIiIiJyNJjYiQmhOJbatm2bdO3aVY/tcOLXMHv2bK3CQkREritVqlRaCQtZGjghiwn1RESuykM8rbrEBCop9uzZU4YMGaKVDosUKSLVq1eXW7duWbw/kpcQQ0ECFVq3obIilmPHjpnug+2tXr1afvnlFzl58qT06NFDA4Go2BgTiAlhXAhKotIiPhtQoTEyFy9elNSpU5suI5sc/4ddcLsrstunJ35ZBrx40IsubJTW0oc7AmzoCxiXLD0PgnX16tXTTD9k/jVv3lwbPhqePXsW6kWPcp/G+DEjqXv37vLgwQPTgug2shWjC9mMyBREIDCyNFRnlT59einZsKQkSs5SDURERERE9D/I7pg8ebJOrFy/fr22Q/Dz8zNlAhIRkWvB5PcXL16Yrvv7+0v27NntOiYiInczceJErbCBqodGZh6qHWLynSX4vl6jRg358ssvtSLj8OHDtTUbWrWZBwfRGg0VGhG0w/d6BBSjyiQEfC78+uuvOvEPWYUIRqJiJCYJ4nYEACOTNWtWU08/XI5scUV2C/yhHCb6NwQHB0vfvn2lYsWKmvJpDpmACBC+evXKdFvHjh21bx168uGgDwE3RIvfhqXnMS/3iWh3u3btwgULUUoT48fPgTRYBAeNMaJkJ8qXhoSEaFATWYNRjROPQWYgAoWA6Diu48DXFQN/pRuVlkQpGPgjIiIiIqLwcKBepUoVPelw48YNrYzSqlUrly1bRETkjnBeDyeG9+/fz8kdROSW33etucCjR49CLYhVWAqy4X3YvLoG4h+4jriGJbg9bDUOZAia3x9xDWT3YUIfYjmIl5w5c0Y++OCDSPcLqn9kyJBBg4tIzkLAb8WKFfozocVbTM2dO1ePJQx9+vTRxC+MzzxBzZXYLfCHQBpSQRF0wy9+wYIF4e6DqC3KUyIlE78I6Natm/YHRB1XHx8ffXHhS8LbsPQ8YPQKRIkBRKLN4blRcgDrELTEASii14C6sIsWLZKBAwfqNpEJOGjQIIt/VObw3BMmTNBtYvtIjcU+wgvR1eBN5vKhy/Ly6Ut7D4WIiIiIiBwcjstq1qypkyVjypHLFhERuavXr1/r++fhw4f1Mqps4X8iIndii8AfqhP6+vqaltGjR4cbB9qcIYEJsRpzuI4JeJbg9qjuP2XKFJ0gh8lyeJ9HhiAm5CGeEhlUTkRyFdqgff7555IyZUp5G6NGjdLJeoDAJLIS0WYA5aW/+OILcUXx7fXESNsfMGBAuNvNS7egnMvmzZtDrUekuVevXrqEhey8sIG06JSCsfQ8gD8OpHrWr18/wsgzFkuqVq2qS0wgeo0lKghIGlmBzgrlWleOXql9FEuWLGnv4RARERERkZ3E5LgJx2go/xnbskWAzDzM+EXZoq+++irSskWAskX//POPniAwsvrMyxYByhahqg0yCc17wxswCdR8IigmQgJOctviRDeeA8fGPKnOfcTXkm3wby5yeD/E+SBM5MdJ6Dx58kju3LlN+474WuLfG9+X4vL92N0FBgZq0pMhYcKENntuBP527dqlk+MQZ9myZYsG8pDNF1nv7vnz5+t3dVQN/PDDD6Vly5Y6CTC2sA9y5cqll5ctW6bt1fD9vVy5cqbv867GboE/Z4Do7759+2Tp0qX2HgoREREREZFL2rRpk2lGcmQQuIrO/SyVLUKbhpiULUJGnzlkCOIkQdiyRahkgxMX+BlQtujbb7+1uE3MrEbLirBu376t/eNtcdLr4cOHug8t9bgn7iO+lvg3ZyuY+ID2PU+fPtUAIKppIfgXURa2u+P7N/cRX0tv5/Hjx+LIPP7/n7W2DQj6mQf+LEHmGyps3Lx5M9TtuJ4uXTqLj8Htkd0fLdL69++vsRUE76Bw4cL6GTB+/PhIA3+ovoHl4sWLmuyFYCE+N/CeeOLECc0ijImkSZPK3bt3JUuWLJpFaHzXR1l/jNMVuU3gD79cS/DiwxIWZngiGo3ZnvgCEpeZjpbqxrZo0YI9IYiIiIiIyC1Fp1JLbERWtujUqVNvVbYIs4RRtih+/PgaTJs5c2aEZYsQeDQPJuLEN8ouoTVEVCdi4gJOkiBoiudj4I/7iK8l6+PfXMTv9SjviWyTFClSSPbs2bX/Kt+X+Fri3xvfl6wFgR2KGspwlihRQitroMS98VmG6yhnb0nZsmV1PUreG1AlA7fDy5cvdQn7Ho8AY3QzMfE5gclzQ4cO1YDdTz/9pHEUPCeqNH733XfR2s77778v7du31xZtmKxXq1Ytvf348eP6OeSK7BL4CwgIsPlzovl6TKBfgzVKbeLFRP/Tc21P8T0bd4HVuLai6Qp7D4GIiIiIyKVhJm/YE8Poe45A1YULF8QRxbRsEU5yWyqrhBMhtjrhjf1py+dzRtxH3E98PVkf2r2cPn1aChUqJPfv3+f7UjTwvYn7KK6442vJ0X9WW2T8RRcmqaGUPd6nS5cuLZMmTZKgoCBTufxWrVpJxowZTT0Cu3fvLpUqVZIJEyZoRt+vv/6q1RN//PFHXY/JbViP8vnor4fvzGi3Nm/ePC3FH6OfxcNDK3BguXfvnm4jJr2/p02bJgMHDtSSn3/88YepZyAqgyCz0BW5TcYfORYc9CZLm0ziJYhn76EQEREREZEd4SRAbNZFh6OVLSIicjfI9kCAL02aNHrdx8dHTyqz7xYRkWP55JNPtAz94MGDtdIFSjEjOcqohIG+rOaBVJS+X7hwoQbU8N0YvVpRGr9gwYKm+yAYiMoXzZs314AdvtuPHDlSOnXqFOtx+vn5acafeaZhVJInT679usOyVIrfVcR31LKc6KuA2T8x1aZNG/1FIiJNjgslT1t810ICQwLljVinrA8REREREbk3Ry1bRETkLr219u7dq32ZcIIYJ2uJiOh/PDw8dbGG2GwX348j+o6MntZhNWrUSJeIYOJcTDLzDGH7bUeUBYhsw+h68OCBlgpFyWkjPoF+3XHZ5s2ROGTgz7wsJ+q3YuakeSN1a7DV80QFf0BVqlQRb29v020IZF65ckVevXqlEXdE0tGrArOkcBC7aNEivUxERERERETOU7aIiMhVIVvk4MGDei4L75WYHEFERBQd+Pwwt23bNo2D4PPEPPAXXfv27dMyoXg8jgcA39uRfYjegcWLF3e5X4xDBv7cHaLMlnoIjhkzRl+IGzdu1MaWt27dkpUrV4ozOnLkiMxuP1vKDCgjPlkYtCQiIiIicleYaRvddTjAx0xdVyxbRETkCtCn9ezZs9rHD9BHCSdrLfU5JSIiBK+s0+PPetu1PsQ/zCHpCd/P0Qc8Nr744gupU6eOzJw5U+LH/zckhokp7du31yof6NftauwW+MuWLZt06NBBmymeO3dOy6Yg7RPN0HEwh6huQECAjBo1SsuloPynkQ2I66jJ+v3338vVq1c1ZRTN1WvUqKH3wezNJk2ayF9//aXbmzFjhlSuXDnCseAgLuzzbN++XcqXLy/Xr1833YbnwosLzefPnDmjpWKGDx+uj8UXm44dO2rmoBFtXrdunR4o4r7GDFK8wGILzeM//vhjDfoB6qNHdpD8/PlzXQyPHj0SR4E/rGePn8nrEJbCISIiIiJyZ3PmzAk3Y9e4Pnfu3HD3j2ngz5HKFhERuTKc60E1LZxLM879oZRa2NLIREREtrRv375QQT/A5T59+mhVEFdk10/eWbNmaaQWsy5x4NSiRYtQ6xFYQ+Csdu3aGvAzSoAi6IfyLAsWLNBgFvovmDd9X7x4sc60RNZcy5Ytte9fZCw9T5EiRSRv3rzy+++/m+6H0i1o1I5golGr/MCBA3L+/Hk9WJw9e7bex8how4EisvQwAxTBR4zFmPEUG+XKlZNp06bpz44XK75QRQaBRmQPGkvmzJlj/dxERERERETWgomU0VmIiMhxYcI8gn4I9OG8WqFChRj0IyKKhKd4WHUhMZXqR5WPsAIDA122hZpdS3127txZ8uXLp5fHjRunwT/0sovKDz/8oJl1KBUAWbJkCbW+Vq1apgw/9G0YNGiQ3L17V8sLxMSnn36qs0+NwCFmm44YMcK0HhmCY8eOlSRJkujPgRmk8+fP1/4RCPThcVWrVtX7InsQgcUlS5boeCLz8OFD7etn6Nq1q2YW9u3bV1KnTq09/VB2BlFpBDhRUsZSrXSUnjFvhIkgKYN/RERERETkyKV8iIjIOWFSPibJY8K8n5+fvYdDRERkKv2PWM/48eO1rL9R8RE9u5s2bSquyK6BP/MsPfRXQL1vzA6KyqVLl7TPQkQQQDR4e3vr//jiEdPAH37pvXv31tKeyEq8c+dOqFKdiRIl0nKb5j+PMX6UKd2wYUOo8i/I0EN0ObY9/jBjCnVnsWBb6PfXrFkzLT/6n//8J9z9sT9ZQ52IiIiIiBxZpUqV7D0EIiKKJUzgx3k4o3yaeT9UIiKKCnv8WYJqiuZQ+ePUqVOmipCGwoULR+slNn78eG0l0KpVK1MVxQQJEmhiGio2uiK7Bv4QwDPcunVL+9GhF545S3XAEWAz+gLGFUvPg6y7evXqaaYfShWgcbuXl5dp/bNnz3TcRvAP6aLG+JFZ1717d6u9cPCFCpmN7733nhw9elScTZ48eaT+8PoSnD7Y3kMhIiIiIiIHFBISIidPntTWCWjDgMmiRETkGFAFCydmUSYtffr0LtsjiYiIbK9o0aIaqDMv9Y9qimDcjv9xvBAdXl5eMnnyZG2NhrZtkDNnTq3k6Krs2uMP5TDR8y44OFjLWFasWFEyZcoU6j44uEOA0LyfXceOHWXYsGHaMBi/ZATccED4Niw9j3m5T/QNbNeuXbhgIcppYvz4OdB/D8FBY4zI9kPZGrwAEdTcuXPnW43z22+/lXXr1mlkGz830lHRW9BIT3UmSZMmlXR50kn8RHaNPRMRERERkZ2tWbNG+vTpo73cDSdOnNCsEfSIqlKlik6wRBuHqPqcExGR9WEi/I4dOzTohxOvLOtJRBQ7eA+15uKsUIHxwoUL+n/Yxbgd/0clKChIs/pwLIEWaojvIEsdPWhdOegHdo26YEejnCay99555x1ZsGBBuPs0atRIFi5cqL8YBLtQArNbt24aTGvcuLFcu3ZNa4dPmTJF8ufPH+uxWHoeQK9A9M9DOU0cdJpD40dEn7EOM51QbhP9/aBYsWKmXnwI9iFIiPsirTS2ULa0f//+GmQEvGAHDx7slHVoUQpi+7ztkrpGakmUMpG9h0NERERERHYya9Ys+e9//xuqF3qHDh1Mxz2AY7R58+bpMR+ChEREZB/379+Xffv2afAPZdJKlCih59KIiIis0SLubQwaNEjmz5+vyVpo24Z4DWI4S5cuFVdn18Cfv7+/DBgwINzt5imcmDW0efPmUOsRROvVq5cuYSE7L2y5TvPtRcTS8wAi43ih1a9f3+LjunbtqoslVatW1SUmEGi01N8P8KK01MvPGaFE6uG/DsveoXtZDoKIiIiIyI0ZrQuMfuqYGIpqKTgWwwE6epzjWA0l5TBZk4E/IiL7QIYf3osx+R2T4UuVKqWT1ImIKHY8PDx1sQZrbdcW7ty5o9l65gHA48ePa1IVbq9bt640a9Ysyu0sXbpUqzIi6QvQ4w8JaKgiYvSmdVXO+9u3ERxwYiZTy5Yt7T0UIiIiIiIil4NJgUYfcEA7AwNK86Afx5IlS0xBQSIisr2XL19qRSsE/VAmrXz58gz6ERGRVSDR6rvvvgt1vFChQgXZu3evtlRr06aNZvJFp+pguXLlTNeRpY5sdVSRdHVuFfhDXzlLy6hRoyzev0aNGlKzZk090PT19Y3TTEdL4+jUqVOcPQcREREREZEzQLk4MCq1bNmyxbTuo48+0v/RXsH8PkREZFs4UYoMv7x582rlJlfPlCAisgWPN9ZdnNWuXbtM1UAAJf9RsfHQoUOyfPlyjedMmzYtyu28fv1aP7/M4fMLbeRcnd0+pQMCAmz+nE+ePInR/VevXh2rkpxRQVoq/avn2p7iezZugqormq7gbiUiIiIicjIo4XPmzBmZNGmSfPDBB7Jixb/f61E+DqV44Pr16/o/+0gREdnOo0ePJDg4WNKmTavXU6RIoQsREZE13bhxQ7Jly2a6vmHDBm3FZkw6QVBw9OjRUW7nzZs38t5774WarPL06VOdXOjl5WW67cCBA+JqOD2H7CJVqlRS8IOC4uXzvz8wIiIiIiJyP7Vq1ZLTp0/L0KFDdQH09/v4448lYcKEpoN9yJkzp13HSkTkLlAGDZkVgLKeyZIls/eQiIhcz5vX/y7W2raTwmcOkq6MHn979uyRTz/91LQexwoo+RmVIUOGhLsNxxjugIE/G2Y4Zs+eXe7fvy/JkycXd5clSxap+GlFCQwJlDfixHnHRERERET0VgYOHCh//fWXZv0ZMmTIIGPHjjVd//HHH/X/atWqcW8TEVkRsiMwGePs2bOmTOvEiRNznxMRkc2g6gd6/M2cOVP++9//yuPHj6Vq1aqm9ThuyJw5c6wCf+6Cgb+3gMjywYMHpWjRonH3G3ETSKm9feG2vEr3SuIljGfv4RARERERkZ2gbNyRI0dk2bJlcuHCBcmYMaPUq1dP+6AbLRtatWqlC7IDiYjIOl6+fKnnuW7evGnKss6fP7+e/yIiImtAQoy1kmKcN9lm+PDhWqLzl19+kVevXkn//v1DlZr+9ddfpVKlSnYdo6Nj4I/s4tSpU/Jbv9+kwsgK4ps9bnr8ERERERGRc0KPjcaNG1tchwBgx44dbT4mIiJ3gkkWe/fu1f89PT11kjsmYhARkRW9efPvYq1tO6nChQvLyZMnZfv27ZIuXTopU6ZMqPVNmjSRAgUKxGibn332mXz99dfagsz8sqvyFDeDppBo/FiqVCltFl+zZk25d++e/rJRgjN37tyyY8cOvS8iygULFhQfHx8tTTlo0CAteQClS5fW/9999109EB01apReRykENJdEKQQ/Pz9tOmkOjepz5cqlz9WmTRudTQVz5swJlzmI67jdfD2i2ylTptTxfP/995H+rKhzi0bM5gsREREREREREZG5K1euaNAvUaJE2tOPQT8iIrInBOXQjy9s0A8+/PBDbasWE7/88ospPmJ+2VW5XeAPFi9erLVh0ag4MDBQa8aiV8Tdu3elWbNm0qlTJ70fAmy4H14Ef/75p/aVWLhwoamhJCBIiC9GCMgFBQXpdhAsRE+/GzduSNeuXUM996pVq7RswokTJ2T9+vWyYMGCaI/72LFjWl7h+vXr+jN89dVXsmXLlgjvjwCnr6+vaYlO3VsiIiIiIiIiInIvefPm1YnqFStW1HNIRERky1Kf1lrIYCR0hb3sqtwy8Ne5c2cNguGLDHpEIMCHzLx48eLJJ598ogG2Fy9eaDZgnjx5NNiGbLumTZvKpk2bItzuypUrJUGCBDJy5EjNJkS5mipVqoS6z+DBgzWDEM3qa9SoIfv374/2uLHNoUOH6nbLli0rzZs3l3nz5kV4/379+snDhw9NC4KcRERERERERETk3kJCQuTMmTPy+vVrvY5zX+jnlzBhQnsPjYiIiN6SW/b4S5s2relykiRJwl1HxPfp06eyceNGGTZsmH4RQklOlM5EMDAily5d0sbHkTU9Rk1a80DegwcPoj1uBAsRWDRkzZpVNm/eHOH98WXNUb+woV58gsQJ2CCaiIiIiIiIiMiGcM4L/fxQ4QrnugoVKsT9T0RkD6/f/LtYa9vkttwy4y86kPGHLEA0kb969apmzKEEqHkaaNgAHwJx58+fj1WqKPoE4ouXOZQKNYfSpEZPQLh8+bLT1lxHBmWHOR3ENxvLRxARERERERER2QLa3GzdulWDfqgo5aznlYiIiChiDPxFADOenj17pmVAkTW3e/duU38/AzIFEegzbyqJx6GcJ/r9IXiIrMHoBsIuXLigX75evXol48aN0y9j5rDN4cOH63YxHvQHRLlPIiIiIiIiV3L//n3566+/ZP78+fYeChGRy7h48aLs3LlTzyuh/Q36+fn5+dl7WEREbuy1lRfnhtZst27dCnc74iZYRxFj4C8C6MM3bdo0+c9//iPJkiXTvn3o/2cOQbhu3bpJihQpZMyYMZq1t27dOu3blyVLFkmfPr1uIzrQQBnBvoYNG+rjEED09/cPdZ+CBQtqUBDrcT+MKWwPQWdx4sQJWdRrkTy+8tjeQyEiIiIiIgcyYcIEyZQpk9SpU0fatm2rt1WrVk1y5Mgha9assffwiIicDvr4HT58WI4dO6ZVqpDlV65cOUmcOLG9h0ZERBShiCorInaCrPWY8DCr3hhZqzZX4XY9/gICAkJdHzp0aKjr2bJlM72gUNoTS0Tat2+vi7m8efPK33//He6+5ts1TJo0KdT1nj176mIYNGhQuO2MGjVKF2eHbMr7V+7LN1W+kZIlS9p7OERERERE5AB+++03+fLLL8Pd/vHHH0v37t1l0aJFUr16dbuMjYjIWQUHB2v7GJzozJ8/v+TMmdPeQyIiIkC8IBZtw6LFWtu1ge+++07/x+fWrFmzNOHKEBISIlu2bJF8+fLFaJtvzPZHbFq1ORu3C/wRERERERGRY5o4caIe4NetW1eWLl1qur127doa+Nu1a5ddx0dE5Iy8vb2lRIkS+v6aOnVqew+HiIgoUt9++60pQDd9+vRQZT2R6YckK9weE48fP7Z42VUx8EdEREREREQO4ciRI/r/zJkzQwX+UPoTrl69arexERE5kytXrkiiRIkkVapUej1NmjT2HhIREYWDzDNrZZ+9ceqetIA2Z//973+11RrFDAN/TqJNmza6uJqea3uK71nfcLevaLrCLuMhIiIiIiL7MfpthO3Zcf78eTuNiIjIuSA74sSJE3LhwgVJkCCBVK5cWQOAREREzmbjxo36/4sXLzQYiFLV8ePHLqT14MED2bNnj9y6dUt735pr1aqVuBoG/sgucuTIITW/rClv0jjvzAMiIiIiIopb6D114MABGTdunOk2HKB/8cUXetnf35+7nIgoAjgxun//frlz545ez549uyRMmJD7i4jIUb1+8+9irW27QI/aLl26yNy5c/X6mTNnNK7QtWtXyZgxo3z11VfR2s6KFSukefPm8uTJE0mWLJlpsiHgsisG/jztPQByT8mTJ5fsJbNLAu8E9h4KERERERE5iE8//VSzVUaOHGk6IC9btqz29sN1rCciovAePXokW7du1aAfeiGVLFlS8ubNG+rkJhERkTNBYO/w4cOyadOmUNnr1apVk8WLF0d7O7169ZJ27dpp4A+Zf/fv3zct9+7dE1fEwB/ZxY0bN2T/0v3y7MEz/gaIiIiIiEh16tRJWrdurcG/sAtaH3To0IF7iogojOvXr8u2bdvk6dOnkiRJEilfvrykT5+e+4mIyGl6/FlrcW7Lli2TqVOn6uea+UQWVAGJSSuAq1evSrdu3fQz0l0w8BfHhg4dKnXr1o32/bdv3y5FihTRF13RokVl586dkd4fL3TM2kKphpg8j6O5du2a7P51tzy7z8AfERERERH9z88//6xZK/369ZP27dvr/1u2bJGffvqJu4mIyIKbN29KSEiIpE6dWipWrKhlzIiIiJzd7du3JU2aNOFuDwoKilFGe/Xq1WXfvn3iTtjjz46QRlq7dm3tX4E6svPmzdPriFajFKYlGTJkkIEDB8q6devkypUrkW7/+fPnupiXfSAiIiIiInJUa9askQ8++EDKlSunCxERRa1w4cIa7ENPP5b2JCJyIm9e/7tYa9tODglQf/31l/b0A+MzbtasWdoOILo+/PBD+fLLL+XEiRNSqFAhSZAgdPuxOnXqiKtx6Yw/BLrQ/DFr1qz6BahUqVISGBioM6EaN26sM6GyZMkiAwYMkFevXulj5syZo5l35nAdt5uvHz58uEab06ZNK5MmTTKlno4aNUpWrlwpSZMm1SUyS5cu1SaUKFeDDD78ny5dOr09IvXr19dMv1SpUkX5848ePVp8fX1NS+bMmaO134iIiIiIiOyhZs2akilTJj0wRz8PIiISi5kOx48f1zLI4OnpKTly5GDQj4iIXApiLf3795fOnTtr/Gby5Mk6SRAVQtATPLo6dOigcaGvv/5aGjVqpPEVY6lXr564IpcO/KEHxLlz57R8Jpo2/vjjj5I4cWJp1qyZRnUvXryoJWQQsEPWXXThyxVKc6I2LJpI4qAUWXp4oeCFiKw9NIrEEpkjR45YDDLi9riAkjgPHz40LXhxExEREREROXqvqokTJ0rx4sW1LcKECRP0NiIiErl165aey7pw4UKM+hsREZEjYo+/yKC336FDhzToh0y9tWvXajIW4j0lSpSI9l5+/fp1hAtKZbsily31iaw+ZM5dunRJy2NCsWLFNFi3YcMGuXHjhikrDxl/6M2HoF10INuuV69eerly5cqSLVs2fQHmzJkzRmNEYDBsSU9cf/z4scQFZBFicUT4OXOWySkJkoROqyUiIiIiIveF2bu//fabtjZ48eKFHD16VPr06SNfffWVVK1aVVskNG/e3N7DJCKyCwT6Tp48qZl+fn5+rOxEREQuDzGXmTNnxtn2nj17JokSJRJX57IZfwj4IeiFUp7m0BcPv1iU6DSgHEJU/fLMmT8WvL29YxWsQ9ARmXjmcN3Hx0cv+/v7m4KTCxYsEFeCfV69Z3XxTutt76EQEREREZGDaN26tbZOwETO2bNnS61atSR+/Pg6E/eff/7RwB8RkbvBe+CBAwe0NxGCfjjXhd5GjjrZm4iIogfv6W/evLbS8m85aBL9HEXrNrRdQ6wFWfMwaNAg+emnn1xyF7ls4A99/Z4/fx6uvCX6RSCqiwNJQ0BAgN4O+MU/ffo01GOQHRhdqKsek+bLyBQ0h+tIWzVKiholQ11tVitm7z65+0Rev3L+JqNERERERBS30KMcrRvQx6NHjx4a/CMickfBwcGyfft2rWDl4eGh54xQBjkm55+IiMhBIThnzcVJ4TMuXrx4kS4xOT4YOXKkzJkzR9u9eXl5mW4vWLCgzJo1S1yRy35LQFbexx9/LJ06ddJ+EKjXevDgQc32q1KlivTu3VubIV++fFl/8ZhZavTYQ8QX9dJROxYvhrt378boeZFtiMdGBY0jkWmIqDICYfgfY42soSS2i8Al/sfPhMt4rLM5duyYzPtsnjwKfGTvoRARERERkQPB8djYsWO1b0eePHlk/PjxpuOrdOnS2Xt4REQ2hUntqDKFE5XI8kO7GSIiIleGFm7//e9/LS5ffvmlZrzHJPA3b948+fHHHzW5CkFDAybSnDp1SlyRS0+bnDt3rvTt21dKliypX5Ly588vf/zxhyxcuFC6dOmiWYGJEyfWXzj6RkCuXLk02NewYUMNrHXr1k1LbkZXo0aNdPupU6fWdNoHDx5EeF/UY1+xYoV89tlnOh4c1OJ6ihQpInzMiBEjZNiwYabrGH+lSpVk06ZN4owmfjBRfz9EREREREQ4NsCETTDKEyVJkkTq1q0rLVu2lPfff587iYjcSvLkyfW9MVmyZHoOiIiIXIg1M/OcOOMPCV1hnT59Wvt+I36CeM7XX38d7e1dvXpV4z5hIf7z8uVLcUXxXb08zPTp03UJ6/fff4/wcT179tTFgFqvBpSbwWLOvFwngnmbN2+O9hjLly8vR44cifb9hw4dqgsREREREZGrQQ8ro7wPKrUg2NegQQNtyUBE5A5wEhKtXzJnzqxBP6O6FBERkTu6du2aDBkyRJO8qlevrrEYlOiMiQIFCmiFRySChY0RFStWTFyRSwf+iIiIiIiIyHmgSkurVq10Fq/Rh52IyJ3Keu7bt0/u3bsnN2/elKpVq7KXHxGRS0NWnrUy85w34w8ePnwoo0aNkilTpmh7tvXr10uFChVita3Bgwdrqzdk/mGCDUqGIoMQJUBXrlwproiBPytDmVD0/AurRYsWFjMR3U3PtT3F96xvuNtXNF1hl/EQEREREZH9IMuFiMgdoVXM3r175dmzZ5IgQQIpXLgwg35EROSW0IoNPb/R33vRokUWS3/GxMcff6wlQlEe1NvbWwOBxYsX19tctZUAA39WxgNXyxCl7/hLR7kqV639KyAiIiIiIgeGA3APDw9tsRCdXh04UCciciVXrlyRw4cPaxYCShuXKlWKJY6JiNwBe/xZhF5+6GuLvnwo8YnFEmTuRVeFChXkn3/+EXfBwB/ZBXp2xEsQTzxCPOSNk6cdExERERFR7KGHOY4PEPjDZQQBI8PAHxG5ijdv3sjJkyfl/Pnzpl5+6DWEjD8iIiJ3hdL/UR0TxCaz/vfff5cLFy5I7969xc/PT/uL47M3Y8aM4moY+CO7OHPmjCwbtkzyfppXvNN787dAREREROTmJ78tXQ4rrk8AEBHZ25MnT/T/3LlzS968efk+R0TkTt68/nex1rad1Jw5c+J0e0eOHJFq1aqJr6+vBAQESPv27TXwh4zBy5cva68/V+Np7wG4GsxQrVu3brTvv337dilSpIgkSZJEy1/u3Lkz0vu/fPlSunTpIilSpNAXZ9euXeXVq1fijF9sr524Jq+eOd/YiYiIiIgo7ly8eFFn3hqXI1uM+xERuQJMZkCGX+nSpSVfvnwM+hEREVlBz549pU2bNnL27FlJlCiR6fZatWrJli1bXHKfM+PPju7duye1a9fWZpVIX0VkGddR4iF58uQWHzNixAjZtm2bnDhxQq/XrFlTRo0aZbHczfPnz3UxPHr0yIo/DRERERERUcxlzZrVdPnSpUv6f8WKFcPdD72viIic3Y0bN+T27dtSqFAhvY6ynigzRkREbog9/mxi7969MmPGjHC3o8QnPpddkUtn/CHQhew4HEgmS5ZMmyMHBgbKzZs3pXHjxpI6dWrJkiWLDBgwwJQ1hzRSZN6Zw3UjvdRYP3z4cEmTJo1+OZs0aZKuW7ZsmQbhVq5cqU2YsURm6dKl+uLq0KGDJEyYUP9Ply6d3h6R2bNny8CBAyV9+vS6YOw//fSTxfuOHj1a01eNJXPmzDHeh0RERERERLZSuXJlqVq1qsV18ePHFy8vL/4yiMgpoYwx2p7g5CPKjF27ds3eQyIiInILCRMmtJgUhc9lxIhckUsH/pC+ee7cOS2fieaNP/74oyROnFiaNWumM6pQKmbr1q0asEPWXXQdP35cS3NevXpVFi9eLF9++aVm6aHEZ//+/TVrD6UsjTrtkdWWtRRkxO2W3L9/X65cuRLqMbiMOrQPHz4Md/9+/frp7caCoCcREREREZEjs9Tjz5ioGVn/PyIiR4X3sH379snp06f1evbs2XXiNxERubs3Vl4I6tSpI19//bW2UTNKbSOm0rdvX2nQoIG4Ipct9YmsPmTOoVRMhgwZ9DbUTUewbsOGDZrCaWTlIWsOvfkQtIuOVKlSSa9evUwzUrNlyyaHDh2SnDlzxmiMCAyGLemJ648fP47w/sZ9zO8PeAyy+sJGsrE4ImRaVv5PZfFKyRm7RERERETubPPmzbqYw4G5uVOnTun/mMhJRORMgoKCNMsP5208PT2lcOHCrMhERERkQxMmTJCGDRtqBcfg4GCpVKmSxofKli0rI0eOdMnfhcsG/hDwQ9ALASZzyJhDA0fz+uk5cuTQ26MrbO11b2/vCIN1kUHQEX3+zCEzz0gv9ff3N/W4QA1aNJs07oPgo3EZfHx8xJlg/AXeKyCBIYHyhrMPiIiIiIjc1qZNm0IF+pDVN2zYsHD3w8zcggULxuo5pk2bJt98840e4BcpUkSmTJkipUuXjvD+v/32mwwaNEjL8eXOnVvGjh1rOh4znDx5UmcJI2iJbJ4CBQrIH3/8Ee4YlIjc1507d+TAgQOaYYBzUSVLlpQUKVLYe1hEROQo2OPPJnx9feWff/6R7du3y+HDhzXBqnjx4lKtWjVxVS5b6hN9/Z4/fx6uvGWmTJnk2bNnmhFowMEcbjeCcU+fPg31mJg0eMTsrejCLC9kCprDdaPBM0qKGiVDmzdvrl8OMU7zx+AyeveFzfZzhi+/J9afkOePntt7KEREREREZGcI9mFBcA+Lcd18QQDuu+++i/G20Z6hZ8+eMmTIED0Bj8Bf9erV5datWxbvv2PHDmnatKl8+umncvDgQW3pgOXYsWOm+6DVQ/ny5SVfvnwauES7BgQKcWKfiMgcJgbgfE6FChUY9CMiIrKxly9faq9wfJcvV66cfPbZZ9KnTx+XDvq5dOAPWXkff/yxdOrUSa5fvy6vX7/WgzYciFWpUkV69+6t5RZQyxXpnK1btzb1zLtw4YL2/sOXM/T+u3v3boyeF1l6Rg+KyNSrV08zDX/66Sd58eKF/o+x4vaItG3bVseLYCSWUaNGSfv27cXZYL9v+nGTBN8NtvdQiIiIiIjIjnr06KH913EcZvTww3VjwURNVDpBuc/IsvQiMnHiROnQoYMeSyErb/r06dqzffbs2RbvP3nyZKlRo4b2cs+fP78MHz5cZwRPnTrVdB+0i0AGII4X0VICbR/QOwTlg4iIzKsdlSlTRt59911ODCAioogz/qy1kCRIkEArcoSEhLjV3nDZUp8wd+5cLb2CUgooxYmDNpReWbhwoXTp0kWzAtEjAtl0iPJCrly59OANNV8RLOzWrZuW3IyuRo0a6fZRrhMHrQ8ePIjwvn5+frJixQqNMmM8efLk0euRlX3ALFIEIvGzQIsWLaLdm9ARTfxgov5+iIiIiIjIPaF6iVHBZPDgwZrxh2O1uIAJlvv375d+/fqFqtKCGb47d+60+BjcjgxBc8gQXLZsmV7GceJff/2lx5C4HRNMs2fPrs+BzEBLUI0Gi+HRo0embWGxNjwHjk9t8VzOivuI+ykuoMIUKjNhkoHxN5cyZUrTa4z4N8f3prjH92/up6heH0QDBgzQGMr8+fM1JuMOXDrwh4NHzObEEtbvv/8e4eNwkGd+oIdgm6FNmza6mDMvvYkXTtjG9JFBeRiUhYlJhBr9KbAQERERERG5kqFDh8Z5iwHM7g3bpx3XkUFoCSqrWLq/0QICJULRjmHMmDEyYsQI7f+3evVqqV+/vmzcuFEqVaoUbpujR4+22Lfw9u3bGiiwxUkvZE0iEBGT9hTuhPuI++lt3b9/X/sGYcIB/rYxuZt/c/yb43uT9fH9m/spMkgGcmhvXv+7WGvbMeSqfbGnTp0q586dkwwZMugEQ29v71Dr0Q7A1bh04I+IiIiIiIicC0pw4uD89OnT4YJiyAaMTlsFW8wcR2uJL774wtQyAr0BMenUUuAP2YDmk0uR8Yde7agUkyxZMpuMGfsOz8fAH/cRX0vWaWeCE4qoKoWJAiVKlND2Mvyb4/vS2+L7N/dRXHHX1xL7L8e8Lza+z6JM9aRJk7S6Bb6TWypnb/TFxgS32rVraxVEVL9AEK1gwYKh+mKjdzYmweF77/Hjx23+e6kbQVUOV8bAn5WhTCh6/oWFEp2WMhHdRdKkSSVDgQzSZ0sf8T4bOsK+oukKu42LiIiIiIjsZ86cOdrDHCemjH5/b9tfK168eHLz5s1Qt+N6unTpLD4Gt0d2f2wzfvz4OlvZHNoxbNu2zeI2EyZMqEtYOPFmq5Nv2Ke2fD5nxH3E/RSbE+k4gYlMB8iUKZNOBMBr6enTp/yb498c35tshO/f3E8RcfzvPfi+a61efG9i3RcbELtAeXtMyvvqq68i7YsN6Iv9zz//6AQ+I+5h3hfbgN7YtjZkyBBxN47+ynd6+AKIMjBhF3cO+gFKXtQdUleSpk9q76EQEREREZGDMI6TcPLcOJGHzBn8j9ssZdNFxsvLSx+/fv36UCfqcb1s2bIWH4Pbze8POIlh3B/bLFWqlM5+NnfmzJk4601IRI7v5cuXsmvXLlPQL1++fPp+g8kGREREjgKVJswX877TYftiow92TPpim98fkCFo3N/oi404AG5H1iAyCY2+2fYq/frIbF8gTuOqGPgju8AffsjLEHnz2lozGoiIiIiIyNmcOHFCg3xr16413bZ3716ZN2+e9uvr379/jLeJkkUzZ86UuXPnao+Rzp07awk+YzZzq1attBSnoXv37tqzb8KECdoHEH0H9+3bJ126dDHdBzObUQ4J20V5P8xsXrFihXz22WdvvQ+IyDkgwIfMZGQAo/8RehsRERHFzBuRN1Za/j/jD+XlfX19TQtKc8akL7bR5/pt+mIjMxDf7+vVq6d9sdHvzxYOHToUqucgevylSJHCtCRPnlyPNVwRS32SXeCPbkaLGVJhZAXxze7L3wIREREREZlmIOfKlUtnGeOkOm5r0KCBtGzZUvr06aN9Q2Lik08+kdu3b8vgwYP1RATK8CGwZ5yoQG8u8zJQ7777rvYoGThwoAYacTIfM5ONXiWAkxbITsSJk27duknevHnljz/+0B4mROQe8L5RsmRJzfxDOxMiIqIYMwXprOD/txsYGBiqp7Sl8vOO0hc7rk2ZMiXc9/P58+dLxowZ9TgDZUy/++47vc3VMPAXxzAbFEGt6KSsXr9+XTp27KizR3H54MGD+uKPCKLk+CNBRBypqKiHi6aYderUieOfgoiIiIiIyPYw8xZBOvTG8vPzk7t378rXX38t3t7/9gVHBl5sIFvPPGPP3KZNm8Ld1qhRI10i065dO12IyD3gBCHeg/C/0eMzov6dREREjgJBP/PAnyP3xY5rO3bsCHcM8M4770iOHDn0cuLEiaVx48biiljq054739NT01yjW9cWqbHFihXTGvIPHjzQA+CmTZtqORxLMDM2bA1fIiIiIiIiR4XJjXDlyhXto4cT7CgPNGjQIC0BaqwnIrIlZPXt2bNHS/ueP39eHj58yF8AERG9PWuV+YxhJqGr9sW+dOmSpE6d2nQd8RQEJA3p06cPF7x0FS4d+EOgCxFdvJAQ1cYLDamt+GUikotfepYsWWTAgAHy6tUrfcycOXPCZd3hOm43Xz98+HBtSInyMJMmTdJ1COCNGjVKVq5cqWUeoir1gMeiBwRqwUcHItG9e/fWpvYIGn700UdaUgaBQEtQdsa8fi/q+RIRERERETkqlPSsWLGiHqSjNKePj48G/7AkSJDAYk8SIiJrwiTsrVu3ahUmZEMUL15cz7EQERG5Elfsi50oUSI9rjCgmqJ59iNiRUmSJBFX5NKlPtu0aaMlYnbu3KkppocPH9b0TfR4wPWLFy9q6Rg0eETpmOg2ij9+/Lj2l7h69aps375d3n//fQ3C1a1bV7cR3VKfbwtfOvFHWLhwYYvr8YeIP1jzQCiDf0RERERE5Khw/GJ+DHP06FFZs2aNVjOpXr269tsjIrIVTBxHX1FMFsf5JEwoZ9CPiIjiDNrgvbZSj79/W+y5dV/sYsWK6ZjKlStncf1///tfvY8riu/KX86WLl2qEd0MGTLobfglIli3YcMGffEaWXnI+ENEOrqBP6SD9urVSy9XrlxZsmXLpsE+W5adefHihTRp0kQzF9FM2hJHrjWPN4BW37eSu0nv2nsoRERERETkoFChpUOHDvYeBhG5IZT0NFqrpEyZUkugOeo5FiIiorjgan2xP/vsM42hIH6DDEYjcBkSEiLff/+9TJkyRYOXrshlA38I+OELGQ4UzaFXBFI8jUi1UUITt0eX+WMB2YKPHz+WuGZeKnTVqlVSoUIFU9CvYcOGmoaKNFlnhBq/SVMmlfsh9+WNWGlWAxEREREROZXITgqgx5+fn59UqVJFq7YQEVkTMvwAJwv9/f1DZTkQERHFiRj24ovxtt1cgwYNtJpI165dNekLcSC4cOGClvLGOsRZXJHLBv7Q1w/lYFCn1by8JfrjPXv2TDMCjQBeQECA3m4E21Ae1ByyA6MrLr8I4sUXFoJ+iKLj/+XLl2sAzRnhj2vNxDWStUlWSZLWNevoEhERERFRzKCnOgJ8kZk4caLUrl1bK7zwRDwRxSX0EzXeg1A9ChO9WdqTiIjIeY0dO1ZLji5atEjOnj2rt6GneNOmTeWdd94RV+Wy05UQ1Pv444+lU6dOcv36dXn9+rUcPHhQs/0wQ7R3797anBK1aUeOHCmtW7fWx6F2LYJSaNyMGu7jxo3TPoAxeV5kG+Kx0YEgJBZAMA+XMVZLXr58qaU9MW7UpnXmEhMPHjyQ87vPy8unL+09FCIiIiIicsCT75EtK1eu1PI8RERx5c6dO7J582bTORpg0I+IiGyS8WetxY1dvnzZdBkBvsmTJ8vff/+tCy6HDfo67JQaAACocklEQVShRZwrcdnAH8ydO1ez/dADL3ny5BoEDA4O1rqt+B9ZgWjs+OGHH0qfPn30Mbly5dJgH1I806dPr1mDKOkQXcjGS5Ys2f+xdx/gTZXtG8Dv7gUUCmXvvfeQJUMUZQgqQ2Q7UXEB4p+l+CGgqIjrEzc4cKGigqLInrL33nuPUuhu/tf98p2YlrS00JA2uX9eR5rkJDk5TdLznud9ngeRkZHmOTNSOsIqH9GoUSPz86JFi5yuu2zZMpPlt3TpUtNn0OpROG7cOORUE++YiN96/JZiERERERER77Rz504zDuMM3N27d5sT8JyZ2717d5N9w7EQ+44w+PfVV1+5e3NFxEPs27cPK1asMG1cduzY4e7NERERkRvUoEEDPPbYY1i1alWa61y4cMG0UqtevTp+/PFHj9rnPjaOmMQrREVFmdlqfEMzOOlOq1evNh8+fvAYmBXXYhbpyZMnUbBgQZVDugm0v28u7e+bT/tc+9uT6f2t/Z3dZadjeldo27Yt/v77b5w9ezZFpg0rhrC/X5s2bUy2H29j2wPuh5zoZv8e9d2mfaT3UtqfjY0bN5o2McQ2MDVr1oSfn58+c/peyhb0/a19pPeSZx47W9t1fvt3yJPbNW2woi5eRt7K3bPda79Zzpw5Yyo9fvbZZ6YKZL169cxEQv587tw5bN26FVu2bEHdunUxatQoj+sh7tEZfyIiIiIiIpJzLFmyxPy7du3aFNdv3rzZ/MuMPwb8OKGN1VlERK4XM4pZWYlBP/b1Y7WnOnXq3HDQT0RERNwvf/78pjc428C99957qFChginrbfX569mzJ9asWYPly5d7XNCP/N29AZ6OB47s+Zdar169MHnyZHgrRtcb3d8Iw1cNR9CulL0KVe5TRERERMQ7sWUCT8J36NABHTt2NNk3R48exW+//Wa/3ZrBa/0sIpJZLOnJ0p4M/gUEBJgsAH2niIjITefKXnwq9GiwtRrbunHxJgr8uRjTReVqhQsXRr176uFQ0iHYoGqzIiIiIiICDBkyBE8//bQ5Gf/DDz/Yd4nVoeL555837QIuX76MO++8U7tMRK77JCCzhxn0YxuSsLAw7UkRERHxGFlW6jNXrlzYtGnTdd23X79+ePbZZ+FNSpcujRkzZsBbsUfHvtX7kHApwd2bIiIiIiIi2cTAgQPx+eefo2TJkibYZy2lSpXC1KlT8eSTT5qfWZLn7bffdvfmikgOYk0gIH9/fzRq1AjNmjVT0E9ERNwn2ebaRbxWlgX+oqOjUaNGDfPz6NGj0blzZ7jazXqeG9WyZUtMmjTJ3ZuRrezduxd/vP4HLp285O5NERERERGRbKRv377Yt28fDh48aErx8V9e7t27t7md/f14wr5YsWLu3lQRySHi4+PN98nu3bvt1wUHB5sAoIiIiIin0RGOB0hISDDlKURERERERDzBuXPnsGHDBpw9exYNGzZ09+aISA4WFRVlLxF84cIFk1HMMp8iIiJupx5/kh0y/liecuzYsahbty7y5MmDtm3bmkbr5OPjg/Xr15vylePGjcPMmTNN+U8ulJycjHfeeQeVK1dG7ty5UaFCBcyePdv+2JcuXcL9999vbqtUqRIWLFiQ7rY4ex4ODHl/Zh9ajhw5gqCgILOdfMy8efPi3XffRZEiRUyfuZdeeilFuYe///7bDCy5XrVq1fDrr79maN989dVXqFKlirkfS0WsXbvWXD948GAsXrwYL7zwgtnGu+66y36fnTt34pZbbjHb3KJFC9PE3nLy5En07NnTbGfRokVNKdS4uDhzm/U6PvjgA3PA2qRJE6fbxPV5gOu4iIiIiIiIZGdvvvkmihcvjrvvvhv9+/c317Vp0wZly5bFn3/+6e7NE5EchOeClixZYoJ+7OPXtGlTBf1ERETE42W61Ocnn3yCadOm4fjx4yZw1qtXrxS3s/Tm8OHD0aFDBxOAs4Jw7733nil3+fXXX5sA1Ny5c01vBst3332HAQMGmN5vLOHCvn/pcfY8tWrVMkHD6dOn29f74osvzCCRwTO6ePGiCcrt2bPHBNA+++wzsw5t3LgRXbt2xauvvmpmln744YdmW3bs2JHutixatAiPP/64Wf/UqVPo0qWLaTTPmWQctDZv3hyvvfaa2cY//vgjRbDwm2++MffhAeioUaPM9QxEcpDL/cvtZO9EBjVfeeUV+335Onjd9u3bsXDhQqfbNX78eISHh9uXEiVKpPs6RERERERE3OmHH37A888/j5iYGHt/P+rUqRP2799vxk8iItfC7w6eL1mzZg2SkpIQGRlpzs1w4rWIiEi2y/hz1SJeK9OBPwa4mLUXGhqKCRMmYP78+Th8+PA178fsNPbkq1evnskOZKYaM+Qs7dq1M73w/Pz8zKzOAwcO4MyZM5l+QQ899BCmTJliv8wG8NYsUSvzkEE4bj9fB5vHf/nll+Y2Bu4YcGzdujV8fX1N5h4Di99//326z8n7MwB66623mpKbzM7Lly8fZs2ale79nnjiCZQpU8bUlWd2Hw9IafXq1di1axdef/11s5358+c3QU4GXB1fBwOUvJ2LM8OGDTPBR2txzCh0N77mfMXzwS/Az92bIiIiIiIi2cTEiRPNePGee+5JcT3HZcQeXSIi12KdV6Fy5cqZvqBqkSIiIiLeItM9/hyz9AoVKmTKaLKc5rUwkMfynmlhdpuF2W9WVhuDXpnRo0cPDBkyxDR/Z1bi6dOnTfacY8CJzeAdX4+1/ZxBOm/ePHz++ef22xMTE01Z0/Qw8MmgpSMG9K4VEE39mvl6re1g5mNERESK2WqcpWbhLDWW+0wPfzdcsqOqVauix5s9cCjpEGzQ7AMREREREblShYU+/vhj/Pzzz/ZdwtKflJGxp4gIz/uwhUrt2rVRrFgx7RAREcme1ONPskvgjwE8Cw+i2Ecu9UEUs+VSY4Bt9+7daNy4MbKKs+dhMIyzQ5npd+zYMZNJ59i0OTY21my3Ffw7ePCgfftZCvOZZ54xmXSZwUEog3WOeNkanDrbzvRwO7h93P60ZPYxRUREREREsjtm+5HjGI7YAkFEJD2cLM0qUtY5KJ5XCQkJ0U4TERERr5Pp6BHLYbLnHXsuvPDCC6a8pRXgcswEZICQ2XKWxx57DC+//DLWr19vstcYcNu2bdsNbbyz53Es98m+gQ8++OBVATOWwOT283W8//77JjhobSOz/Vi+lAeMDGouX778mtvJMp/sXbh06VKzLe+++64pU8rypdZ2Zmag2qBBAxP8GzlypMkC5P7i63TsD5jT8X3wcb+PcWH/BXdvioiIiIiIZBNWOwi2lbCsXLnSjPGoWrVqbts2Ecm+WNZz4cKFSEhIsF+noJ+IiGR76vEn2SXwx0Aay2kymMUyKwx4pda1a1dTHpPNk61ylE8//bTpD9itWzdTprJNmzYm+HcjnD0PWb0Cy5Yti1q1aqW4D5+bpR54G4OWffr0Qd++fc1tderUMc3iGXDjYzITcNSoUSYAmJ4WLVqYYB8HoyxN+u2335ognbVN7Pn3999/m8tWb4r0cNtnzpxp9i8HvuHh4Wjfvr3JmPQU7FGYEJNggpoiIiIiIiLEMRXHCGPHjrVn/7FqDHv78bIVABQRIU7aXrNmDbZv345Lly5ds+WKiIhIdsLjXlcu4r18bJl4B5QuXRqTJk1C586dkd21bt0a9957LwYOHGi/bsGCBWbb2T/PG0VFRZkg4oULF67Zt/BmNNpmZuOqVatQv359t26LN2Cg1SpxqzKx2t+eRu9v7XNPp/e49rcn0/s7Zx/Tu0r//v1N6wZn13/66afwBDf796jPmvaRJ76XWMmJGcH8PHFiQI0aNUyJz+wgO+2n7Er7SPtJ7yV95rz52NnarnPrv0Ce3KGueY6Ll5Gvdp9s99olm/b4ywlYnpOBJcdm8CIiIiIiIpL9sf3Cww8/jN9//x2nTp0y1VjuuusuNGvWzN2bJiLZBNur8LxPfHy86QnKicURERHu3iwREZHrK/XpCsr482rZPvCXK1cup9cPHz7cLKndeeedpgzM22+/baLmWYW9JNhnz1l/v8mTJ2fZ84iIiIiIiHi7pk2bmkVEJLXjx4+boB8LWPG8D4N+6ucnIiIicp2Bv/379+Nmi46OztT6s2fPTvM29v673jKfW7Zsua77iXOVK1dG1/Fd8eLmF+G3y89+/W89ftMuExERERHxIl988UWm1mefdhHxXszsY6AvX758qFWrFvz8/j2nICIikqMo40+8NeNPPFNoaCgiy0YiNikWNqjRqIiIiIiIt+rXr5/pz5VRCvyJeJ/ExET4+185hcXSniz9GxQU5O7NEhEREcmW1GFY3OLgwYNY9OkiXD59Wb8BEREREREvx5J9GVlExPuwctP8+fPNeQSLgn4iIuIReHyb7KJFx85eTRl/4hanT5/G5r82I1+LfAgpEKLfgoiIiIiIl/rggw/SvG3JkiX49ttvkZycbAJ/VsaPiHiHw4cPY8OGDeY7YN++fShRokSmMoRFREREvJEy/rLY6NGj0blz5wyte+zYMdx9990oWrSoOXBdv379Ne8TFRWFBx54AHny5EGhQoUwZsyYLNhqERERERER93jssceuWsqVK2cCftOmTUNSUhICAgLw6KOPYvv27fo1iXgBBvq3bNmCdevWmaBf4cKF0bRpUwX9RETEM3v8uWoRr6Xpkm7k6+uLO++8EyNHjkSjRo0ydJ+nnnoKZ8+eNSUuTp48iTZt2qBUqVJO+1zExcWZxTFoKCIiIiIikl399ttvGDt2LFatWmVO/LM3+COPPILnn3/eTJgUEc8XHx+PNWvWmEpBVLFiRbMo009EREQkYzw644+BroEDB5rAGDPkGjRogEOHDuHEiRPo1q0bIiMjUbJkSYwYMcI0iqYpU6agdu3aKR6Hl3m94+3MtCtYsKDJups0aZK5bcaMGRg3bhxmzpyJXLlymSU9vO8TTzyBhg0bZuj1XL582cx6feWVV5A3b15z4MtA4Keffup0/fHjxyM8PNy+sCSGiIiIiIhIdvP999+bcRarp6xcuRK5c+fG//3f/2H//v146623FPQT8RLM8GWJXwb9/Pz8UL9+fVSqVElBPxER8UzK+BMX8eiMv379+plg2fLly01ZCNaFDwkJQffu3c1l1oc/c+YM2rVrh7CwMAwfPjxDj8tyE71798aRI0ewdOlS3H777ejYsaMZpPIxWLKTQcCstmPHDjPzzTEwyZ8ZbHRm2LBhGDRoUIpAaHYJ/jFoWqt9LQTlCXL3poiIiIiIiBtVrlwZu3btsvfw4yTNp59+2kx2ZLUTLo44AVJEPBODfTxvwSpHnLzNSdwiIiIikjkeG/hjVt/PP/+MAwcO2GeH1qlTxwTr5s2bh+PHj9uz8pjxx958GQ38FShQAIMHDzY/t2zZEqVLlzbBPvahcKXo6GgToHRsaM/B8MWLF52uHxQUZJbsqHjx4mjapykOJR2CDao3LCIiIiLirXbu3Gmyebgw2+ebb74xizNcx6rWIiKegUH/hIQEBAYGmssVKlQw51nY21NERMSj8bS4q06N65S7V/PYUp8M+DHoxVKejg4fPozg4GBTZtNStmxZc31GOd6XGIxLK/h2I6zAJJfFixebf5nB6DjQvXDhgimDk9MwiHl853EkxmrQLiIiIiLi7XjiP6OLiHgOnt9YvXq1qdTEwL9FQT8RERGR6+exGX/s6xcXF2d6+jmWt2SmWWxsrMkItAJ47BvB68kKrjlidmBG+fr6ZmlwzBG3iwe/LFlar149cx0zDWvUqIGcOKv3p1E/ofnY5ggvE+7uzRERERERETfp27ev9r2IF7p06ZLp6clzHzyXcv78eeTPn9/dmyUiInLz2JKvLK56bPFaHhv4Y1CvU6dOGDBgAD755BNzmQEzZgC2atUKQ4YMweTJk02Pv7Fjx9oHm+yZt3fvXpNh17hxY0ycONGsk5nnZbYhZ605luRMC4OQFvbv42WWt3AWQAwNDTX9CUeNGmVK35w8eRLvvvsuxowZk+HtExERERERyU4+//xzd2+CiNxkPJ+xdu1aU+KTVZnYz4+tTERERETkxnlsqU+aOnWqyfarX7++OYBkEDAmJgbTpk0z/zIrsGnTpmjfvj2GDh1q7lO+fHlMmDABXbp0QZEiRUzWYLVq1TL8nF27djXNpyMjIzN00BoSEmIWatSokfl50aJFaa7/3nvvITw8/EqPvKZN8dBDD6FPnz7IqSbeMRG/9fjNvoiIiIiIiIiI59qzZ4/J9GPQL1++fGjevLmCfiIi4p2Sba5dxGt5bMYfMUDGrD4uqU2fPj3N+w0aNMgsFmbYWfr162cWRyy3aYmIiMDChQszvI2Z7VHBoGJaje5FRERERERERLJz248dO3aYn1mRia1LsrJlioiIiIh4eOBPsi+WQWWQNCPlUEVEREREREQk52NVJrZHqVChAkqXLu3uzREREXEv5gS5KjFPCX9eTVEXF2OZUB7UptarVy+nmYjeombNmrj/g/vx4rYXYdt25VtIpT5FREREREREPAtbrVgtTvhv69at4efn5+7NEhEREfFYCvy52JYtW1z9FCIiIiIiIiIi2Q4nQm/evBl169ZFkSJFzHUK+omIiPwP24DZkl2zOzLZYkw8iwqpi9sCol89/RUuHr6o34CIiIiIiIiIB0lOTsbGjRvNwp9Pnjzp7k0SERHJpoE/Fy7itZTxJ24RFxeHqBNRSEpI0m9ARERERETszp8/jz/++AMHDx4044bUXnzxRe0tkWyMn9vVq1fj7Nmz5nKVKlVQvnx5d2+WiIiIiNdQ4C+LjR49GuvXr8eMGTOuue6xY8fw2GOPmQNi/rxu3TrUrl073fuMGjXKPPa2bdswcOBATJo0KQu3XkRERERExH3mz5+Pzp07Izo6Os11FPgTyd6B+1WrViE2NhYBAQGmxGfBggXdvVkiIiLZE5PyXJWYp4Q/r6ZSn+7c+b6+uPPOOzMUJLRwltyECRNw9913ZyyrLioqxSIiIiIiIpJdDRo0CBcvXoTNZnO6iEj2dfnyZSxdutQE/XLlyoVmzZop6CciIiLiBh4d+GOgi1lxpUqVQp48edCgQQMcOnQIJ06cQLdu3RAZGYmSJUtixIgRSExMNPeZMmXKVVl3vMzrHW8fM2aMOYAtVKiQPeuOAbxx48Zh5syZ5iCXS3p43yeeeAINGzbM8Gvq27cv7rrrLvN6rmX8+PEIDw+3LyVKlMjw84iIiIiIiNxsO3fuhI+PD0aOHImtW7di79692Ldvn33hZRHJnkJDQ1G6dGlzroNBv2udExEREfF6ycmuXcRreXSpz379+pkZZ8uXL0fhwoWxYcMGhISEoHv37uYyB45nzpxBu3btEBYWhuHDh2focbds2YLevXvjyJEjZjbb7bffjo4dO5qSNHyMjJb6dLVhw4aZGbOOgdDsEvxj5mKHYR2QWOhKwFVERERERKRcuXJmvPX8888jd+7c2iEi2VxCQoLJxg0MDDSXq1atav5lAF9ERERE3MNjM/6Y1ffzzz/jo48+QtGiRU1ZzTp16pjyl/PmzcPEiRPN7DNmAzLjz8roy4gCBQpg8ODBpl59y5YtzYw2Bvuym6CgIJMZ6LhkF9yWkrVLIiA0wN2bIiIiIiIi2QQrq5B6mYtkfyzLu3jxYqxevRrJ/8sqYMBPQT8REZFM9vhz1SJey2MDfwcOHDCBL5bydHT48GEEBweb0hOWsmXLmuszyvG+xGxBHvBmNatcKBceTHuSY8eOYeUPKxF7LtbdmyIiIiIiItkEA37M9Bs9erSZwNm8eXO0bt3avtx2223X9bjvv/++mbDJsWCjRo2wcuXKdNf/4YcfULlyZbN+jRo18Pvvv6e57oABA0ygQ8FK8SbHjx/HkiVLcOnSJcTExJhJ1iIiIiKSPXhsqU9m8vHAkz39HMtbFi9e3DSaZkagFcDbv3+/uZ4YZGN50NQHtBnFzMKsEh0dDU/FwN/q6avRvE5zBOULcvfmiIiIiIhINrBw4UITRGPpQI7DOG6z8LrryST67rvvTAuEyZMnm6AfA3Rt27bFjh07TN/21JYtW4YePXqYnukdOnTAtGnTTFuHtWvXonr16inWZZWZFStWmCCliDfg53DPnj04ffq0Of/Bikj16tWzl/oUERGRTEi2XVlcwVWPKzmCxwb+GNTr1KmTmX35ySefmMvs8ccMwFatWmHIkCFm4Mcef2PHjkXfvn3N/WrXrm0axjPDrnHjxqYkKNfJzPMy2zAxMRH+/tfevQxCWuLj481lHjCnFUBk/fykpCT7wvX9/PxM2VEREREREZGcjOO1rC4TyDHdI488gv79+5vLHAfOmjULn332Gf7v//7vqvXffvtt3HnnnabPoFV+dM6cOXjvvffMfS3s+f7UU0/hzz//RPv27dPdBk5KdcyIYv91YnlEq0SiK/E5GLC5Gc+VU2kfXRvPc6xZswa7d+9GeHi4mXDNnn48f6H3lt5P+szpu8ld9P2t/XSt94eIN/LYwB9NnToVL7zwAurXr29KcVapUgU//vijmbE5cOBAc5AaEhKCnj17YujQoeY+5cuXx4QJE9ClSxfzxfD000+jWrVqGX7Orl27msePjIw0A6vz58+nuz6f38LZpzR//nzTO9AZDlj5uiwcfDJomZkehdnJxDsmmt+PiIiIiIgIq7FkJU6uZKBi2LBh9usYpGjTpg2WL1/u9D68nhmCjpghOGPGDPtljhV79+5tgoMZGS8ye/Dll1++6vpTp06lmAzqKtzeCxcumDFqVlap8STaR9e2fv16k4nL9ywDfsyYZeaf6P2kz5y+m9xJ39/aT+lxRXuuLOXKXnxK+PNqHh344ww0zsh0nJVpmT59epr34yDPcaA3atQo+8/9+vUzS+qDX0tERIQpT5NRHHhlBgN8OTXIJyIiIiIicjMxKMFKKan7tPPy9u3bnd6HgQ1n6zu2gHjttddMhRdOFM0IBh4dx5jM+GNLCk4YzZMnD27GSVFmUvL5FPjTPrpeTZo0Mf0xixUrhgoVKui9pM+cvpduAn1/ax/pvXRj2K9ZxBt5dOBPsq98+fLh3nvvNf+KiIiIiIg4ButYRYU9+GJiYq7aMSzR6U7MIGQ5UPb8y2hZ0qCgILOkxiDczQrEcVtv5vPlRNpHV2OQ2gpO81+2TmGmqt5Lej/pM6fvpuxE39/aT2nJ7sc9TAqyuagXX2YTjsSzKPDnYiz7wp5/qfXq1ctpJqK3KFOmDAp3L4znVj4H28orX0K/9fjN3ZslIiIiIiJutHXrVrRo0QJnz551evKCJ/YyE/grUKCA6Yl+4sSJFNfzcuHChZ3eh9entz77wZ88edL0I7Qwq3Dw4MGYNGlSlpcrFXEHvqc3btxoelk2btwY+fPnN9dndQ9OEREREcl6Cvy52JYtW1z9FDkSewJcOH4BSeFJ8A3M3jMvRERERETk5njppZdw5syZLHu8wMBA1KtXD3PnzkXnzp3tZdN4mX3fnWGQg7c/++yz9uvmzJljrif29mOPwNQ9AHl9//79s2zbRdw5Xl+1ahXOnz9vAn2XLl2yB/5EREQkCzErz1WZecr482qKuIjbZvJ+/czXuHgkmzdYFRERERGRm2bJkiUm0PDxxx+by/x506ZNpk1A+fLlTX+xzGJvPT7e1KlTsW3bNjz++OMmkGEF6fr06WN68FmeeeYZzJ49G2+++abpAzh69GisXr3aHihkAKR69eoploCAAJMRWKlSpSzbFyLuwGzbRYsWmaAf39e33HJLiuxWEREREcn+FPgTERERERGRbMHK9uvRo4f9uqpVq+LDDz/E7t278frrr2f6Mbt374433ngDL774ImrXro3169ebwF6hQoXM7QcPHsSxY8fs6zdp0sT0GPzoo49Qq1YtTJ8+HTNmzDABPhFPxs/C8uXLERcXZ/r53XrrraZcroiIiLgI+/u5chGvpcBfFuNsUKuEzLXMmjXLHEjny5cPBQsWRJcuXXD48OE012cfiZ49e6J48eLmILxOnTr49ddfs3DrRURERERE3CcsLMz8y0wj6+e1a9fi9OnT5uc//vjjuh6X2Xrsvc6Axj///INGjRrZb1uwYAGmTJmSYv2uXbtix44dZv3NmzejXbt26T4++/o5lgYVyWlOnTqFDRs2mFK4RYoUQdOmTREaGuruzRIREZGb6P3330fp0qURHBxsjpevVW3jhx9+QOXKlc36NWrUwO+//57mugMGDDDVPNgTW1xPgT83unDhAl544QUcOnQI+/btM8G8bt26pbl+dHS0CfatWLHClN34z3/+Y2bCsmymMxykRkVFpVhERERERESyKwYcrCBExYoVzc+cLMk+faRAhIhrREZGmknGPHlXv359+Pv7a1eLiIi4ms3FSyZ89913pkQ+e25z4h0rX7CPNZORnFm2bJmJTTz00ENYt26dSYbiwklzqf38888mplG0aNHr3VOSSR4d+GOgizM7S5UqZYJqDRo0MEG2EydOmAAbD2xZq37EiBFITEw09+FMT5Z/ccTL1gxQ6/YxY8aYLD2Wh7Gi1Cz/Mm7cOMycORO5cuUyS3oeeOABtG/f3qzH2aycIcrZp9a2pFa2bFkMGTLEHIz7+vqiY8eOpocEPzTOjB8/HuHh4falRIkS17UfRUREREREbgZOdLTZbGZ2ca9evczPMTExuHz5sn0MJSJZd87E8fwDP38VKlTQ7hUREfEgqRODmCzkzMSJE/HII4+YPtgstT958mQz6e6zzz5zuv7bb7+NO++8E88//zyqVKli4iV169bFe++9l2K9I0eO4KmnnsLXX39tqnrIzeHRgb9+/fqZPhCsUc8MOfZoCAkJMYNFvsmYZbd48WITsJswYUKGH3fLli3mTc83LSPhfHPv2bPHRLSHDx+ODh06mOw8LpmxcOFC8yHJ6Mw6RtvZnL5mzZpOb2eDemYVWguDntkFvwSe+O4J5C2T192bIiIiIiIi2cR///tfM05r3bo1nnvuObz55pto3LixGT9w9jEnN4rIjeP5jCVLlpgZ+gywi4iIiGf2+GMykGNykLPj6fj4eKxZswZt2rSxX8fEI15mbMUZXu+4PjFD0HF9lhDv3bu3iZ9Uq1YtC3ecXIvH1m5gVh9TSNnHwUoh5ew1HtzOmzcPx48ft2flMeOPvfkYtMsINrcePHiw+blly5am7i0bxJcrV+66t5cH26NGjTJ1cTOCH8b777/fZC6yDIczQUFBZhEREREREckJrBMSFgb/uIhI1mCQb/v27WaStHVCjoufn592sYiIiAdiMhCrIVqcxQvYTzspKclUN3TEyzxucIbxFWfr83rLa6+9ZpKcnn766Sx4JZIZHhv4Y8CPb2KW8nR0+PBh02zS8U3JEpq8PqNSv6FZpvPixYvXva2bNm3CXXfdZdJgb7/9dvv1jqVC2cS+efPm9qBfly5dTNbhxx9/jJxox44d+HHkj6j6WFWEFQ1z9+aIiIiIiEg2wfHOp59+aiZsnjt3Dn///bep1MKABTP/rtVSQUScS0hIMD17rF495cuXNz39fHx8tMtERETcgVn3rsq8/9/jMujnGPi7WZhByHKgPPbQscbN57GBP/b1Y71aRrQde9uxP15sbKzJCLQCePv37zfXEweRVv8Ii2OU+lqYApvZoB9TYl999VXTw8KRs1KhHAR37drV/PvLL78gMDAQOdGlS5dwYtcJVIyr6O5NERERERGRbDROaNWqlTlRwECfdZLgjTfeML3U33nnHTz55JPu3kyRHIfnF9g7k58xZvfVqlULxYoVc/dmiYiIeDVb8pXFVY+dUaxwyOMDxkwc8XLhwoWd3ofXp7c+J+5xspFjYhazCllJcdKkSSYmI67jsT3+GNTr1KkTBgwYgGPHjpnSFSynyWw/DiSHDBliDngPHjyIsWPHom/fvuZ+tWvXxt69e80bk02u2fvvzJkzmXpeZhs6NshOr1cgg36vvPKKaZqZkdl5LO3J7WZfQpXxFBERERERT8IWDKtXr76q59gjjzxiruM4SEQyh5+dVatWmXMJISEhaNq0qYJ+IiIiYsfkonr16mHu3Ln26xhP4WX223aG1zuuT3PmzLGvz95+GzduNC3SrIUt2djv788//9TedzGPDfzR1KlTTbYfe+DlzZvXBAFjYmIwbdo08y+zAnnA2759ewwdOtRe6oLBPpbSLFKkiMkazEzjSWbjMXU2MjLSPGd6OGv11KlTpmeF1W+QC4ORzixbtsxk+S1dutRE4a31x40bh5xq4h0T8VuP38wiIiIiIiLe7ccffzRZfl9++WWK6zlus1oGiEjm8DNVp04dc57i1ltvTdFHU0RERLJBqU9XLZkwaNAg01aMMZVt27bh8ccfN5OGrISlPn36YNiwYfb1n3nmGcyePRtvvvmm6QNoTeAbOHCguT1//vyoXr16iiUgIMBkBFaqVCmLd6R4TalP4sHs5MmTzZLa9OnT032Tc7GMGjXK/nO/fv3M4ojRaktERAQWLlyYoe37/PPPzZJRLVq0uGrmq4iIiIiIiKc4cuSIfUIlZwlbWLmFrN5kIpI+ltK6cOGCOUdBnJh8yy23aLeJiIiIU927dzdJSi+++KJpfcbKiAzsWe3SmKzk2OasSZMmJsFq5MiRGD58OCpUqGCqczDAJ+7n0YE/yb5Kly6Nd9991/wrIiIiIiJiTd5kq4XDhw+n2CFWOaBrVVUREeDy5cv20p7MllWGn4iISDaVbLuyuOqxM4nZelbGXmoLFiy46jpO1uOSUerrd/N4dKnP7IBlQh3LeFoLy456M8463FZwGx6c8yA6ftPRLCIiIiIi4t2aNWtmn3FseeKJJ9CzZ09TrrB58+Zu3DqR7O/06dNYvHgxoqKi4O/vb/rziIiIiIh3Ucafi23ZssXVT5EjMW1405+bENIwBIF5At29OSIiIiIikg2MGDECv//+O9auXWsCffThhx+algeBgYGmjJCIOLd3715s3brVfF6YHdugQQN7mVwRERHJfvg321WtvdQyzLsp40/c4tChQ1j82WLEnInRb0BERERERIx69erht99+Q9myZe0nQriUK1cOM2fORJ06dbSnRFJhVt/69evNxGN+XooXL25KfCroJyIiIuKdlPEnIiIiIiIi2cbtt9+OXbt2mYWVQiIjI1GhQgV3b5ZItnXgwAEzuZZZslWrVjWBcxEREckBWJHbVVW5Ve3bqynjL4uNHj0anTt3ztC6s2bNwq233op8+fKhYMGC6NKly1VN7FNjnf4HHngAefLkQaFChTBmzJgs2nIREREREZHsg8G+Jk2aKOgncg2lS5dGsWLF0KhRIwX9REREREQZf+504cIFvPDCC2jRooWZmffUU0+hW7duWLZsWZr34Tpnz57FwYMHcfLkSbRp0walSpVCnz59rlo3Li7OLI5BQxERERERkeyEwb2M4rhp6dKlLt0ekZzg+PHjZgKxr6+v+VzUrVvX3ZskIiIimcX+fsk21z22eC2PLvXJQBebv7NHxLlz51CpUiX89NNPpik8A2jz589HSEgIevfujZdffhn+/v6YMmUKJk2aZOrjW2rXro1nn30W/fr1s99+33334d133zUH2MOGDTO3z5gxA+PGjTP19XPlymXuGx0dneb2MXPPER+DPSsSExPNtqR2+fJlfPvtt2agy0bdXPg6Pv30U6eBv/Hjx5vXlR3lzp0bJWqWgH+wR78FRURERETkGlasWGHGVdfC3mUZWU/Ek/F8w9atW7Fv3z6ULFkStWrVcvcmiYiIiEg249GlPhmo2717N5YvX47z58/jo48+MoE+BtwCAgLMgfLixYtNwG7ChAkZflw2zA4NDcWRI0fw3Xff4fnnn8eePXtMiU8GGjt06GACfukF/ZxZuHAhqlSp4jToRzt27EB8fLwJRFr488aNG52uz4AkswqthTX/s1PZno4jOiJXkSsBUhEREREREQb30lpEvB3PBzBQznMZxPMbIiIikoPZXLyI1/LYdKsTJ07g559/Nk2uixYtaq5jNh2DdfPmzTNlMZiVx2XEiBGmNx+DdhlRoEABDB482PzcsmVLU0+fGYLlypW77u1dt24dRo0ahR9++CHNdRhIDAsLSxEYZNbfxYsXna4fFBRkluwoKSkJ8ZfjYQuweXj4WUREREREMprNxzYGDz74oFnYs0xE/q1otHLlSsTExJhzAjy/UbhwYe0eEREREbmKx4ZcGPBj0IulLxwdPnwYwcHBKFSokP26smXLmuszyvG+xGBcWsG3jNi0aRPuuusuvPfee7j99tvt11uBSS7MTOS/LPfJUqAWZvKxbGZOs2HDBnzS/xNcOHDB3ZsiIiIiIiJuxOwlTsZkoI/jOE7K5ORKVlJhdRZOGhTxZkePHsWSJUtM0I/nH5o1a6agn4iIiCdITnbtIl7LYwN/nCkaFxd3VXnL4sWLIzY21mQEWvbv32+uJyu45ojZgRnFxtqZDfq1adPG9OPr1atXituscqFcmjdvbnoUskQpg2YWZhrWqFEjU88pIiIiIiKSncZuY8aMMeMy9mfv2LGjyf77448/TG91jtXYtkHEGyUkJJj2HgyAR0ZGmnMDOXHyr4iIiIjcPB4b+GNWXqdOnTBgwAAcO3bMNMBmOU1m+7Vq1QpDhgzBpUuXcPDgQYwdOxZ9+/a198zbu3evybBjZh17/505cyZTz8tZqo5Zeen1CmTQ75VXXkH//v2vuT77Cnbv3t2UBGWm365du/Duu+/i4YcfzvD2iYiIiIiIZEecRNm+fXuT5ce2DWxrQJy0OXv2bHdvnohbcPJvvXr1TGuRRo0amcsiIiLiGdjG2pWLeC+PDfzR1KlTUaJECdSvX98MGhkEZGmMadOmmX85s7Rp06ZmcDl06FBzn/Lly5tgX5cuXVCkSBGTNVitWrUMP2fXrl2RJ08eMxPPGqim5Y033sCpU6fw3HPPpSjryWBkWlgONDw83Mx65bY/9NBD6NOnD3KqiXdMxG89fjOLiIiIiIh4r/Pnz5vxDnuX3X333Th37pzp/XfLLbdkaKKkiKdg1R/HCcg8v1C1alWTCSsiIiIici3+8GAMkE2ePNksqU2fPj3N+w0aNMgsFmbYWfr162cWRyy3aYmIiMDChQsztH2ff/65WTKDQcVvvvkmU/cRERERERHJrubOnYtPP/3UZPpx4iWDffnz5zetEFjdJDMTMUVyupMnT2LNmjUmyMeynuzpJyIiIh4q2XZlcdVji9fy6MCfZF/sS8j+hhUqVHD3poiIiIiIiBvdfvvtJsjBgB+rsjC775577kFQUJC5fefOnSnWr1ixopu2VMS1du/ejW3bttknFfv765SNiIiIiGSejiJdjLNT2fMvNc5edZaJ6C3Yl+CDrR/g0KZDsOHK7AOV+xQRERER8V4M/rHtwcsvv2yWtNbJSD91kZwkKSnJVBI6evSoucwAePXq1U3fSxEREfFgPC3uqsQ8Jfx5NQX+XGzLli2ufoocac+ePfh9wu8o26ssQguFuntzRERERETEjZjtJ+KNYmJisHLlSkRFRZnANqvjMPAnIiIiInK9FPgTt7hw4QL2r9mPEveW0G9ARERERMSL9e3b192bIOI2e/fuNUG/wMBANGjQwJT4FBERES+R7MJefHxs8VoK/ImIiIiIiIjbfP7559r74rWqVKliSn1WqFABISEh7t4cERERuZlY9cJVlS9UUcOrqWB8Fhs9ejQ6d+6coXXXrl2LevXqmRl9efPmRZMmTbBo0aI01z958iR69uyJ4sWLI0+ePKhTpw5+/fXXLNx6EREREREREXGV5ORk7Nu3z17eln38atasqaCfiIiIiGQZZfy5Eev2//TTTyhZsqS5/PPPP6N9+/YmwOdspl90dLQJ9r322msoWrQoZs2ahfvvvx+rVq1C1apVr1o/Li7OLBaWDxERERERERGRmy82NharV6/GuXPnzM/M9hMREREvxjKfLiv1qR7a3syjM/4Y6Bo4cKAJsDFDjvXyDx06hBMnTqBbt26IjIw0QbcRI0YgMTHR3GfKlCmoXbt2isfhZV7vePuYMWNQsGBBFCpUCJMmTTK3zZgxA+PGjcPMmTORK1cus6Qnf/78ZtvYwJuz/fz8/Exw7/jx407XL1u2LIYMGWIy/jgrsGPHjqhUqRJWrFjhdP3x48cjPDzcvpQokX366RUrVgxNejdBSIRKmYiIiIiIiIhnO3/+PBYvXmyCfgEBAShQoIC7N0lEREREPJRHZ/z169cPly9fxvLly1G4cGFs2LDBZNJ1797dXGZ5jTNnzqBdu3YICwvD8OHDM/S4W7ZsQe/evXHkyBEsXboUt99+uwnCscQnH2P9+vUmCJhRLPPJgB/r+vfp0wdlypTJ0P2YGbht2zZTFsSZYcOGYdCgQSkCodkl+MeAae0OtXEo6RBs0OwDERERERER8UyHDx825yNY5jN37txmUjLPQYiIiIh3U4s/cRWPDfwxq4+lMw8cOGDKYhLLZDJYN2/ePJNVZ2XlMeOPvfkyGvjjzLzBgwebn1u2bInSpUubYF+5cuWue+ZfTEwMfvzxR1PuIyPi4+NNmU9mLtavX9/pOkFBQWbJjjjLcffy3fCp6oOAXAHu3hwRERERERGRLMXKPlu3bsXevXvNZU5A5nkJf3+PPRUjIiIiItmAx5b6ZMCPQS+rf57jTLvg4GCTceZYQpPXZ5TjfYkz9S5evHhD28tMxF69euGtt97CkiVLzHVWYJILS4I4Bv26dOmC0NBQfPzxx8iJmG3516S/cPnUZXdvioiIiIiIiEiWu3Tpkjk3QRUrVjSTdhX0ExERkat6/LlqEa/lsdPM2DsvLi7O9PRzLG/J/njMqmNGoBXA279/v7meGGRjeVBHafXcc4a9925EQkICdu3ahWbNmpnyn6kx6Ne1a1fz7y+//ILAwMAbej4RERERERERyXo8v1C7dm34+PigSJEi2sUiIiIiclN4bMYfg3qdOnXCgAEDcOzYMVNLf926dSbbr1WrVhgyZIiZfXfw4EGMHTsWffv2NffjQTnLcDDDLjExERMmTDB9ADPzvJzRx/tey8yZM7Fx40azLoON48aNM5mHt956a5pBQZb25Hazh2B2LeMpIiIiIiIi4o14/oGtLSxsPaKgn4iIiKRVFtyVi3gvjw380dSpU022H8tp5M2b1wQB2Utv2rRp5l9mBTZt2hTt27fH0KFDzX3Kly9vgn0spcmDc2YNVqtWLcPPyWy8PHnyIDIy0jxnek6fPm3W53osSTpnzhzMmjUrzV6By5YtM1l+S5cuNX0GrTKgDBjmVBPvmIjfevxmFhEREREREZGciCfXduzYgdWrV5uF5xJERERERNzBY0t9Unh4OCZPnmyW1KZPn57m/QYNGmQWy6hRo+w/9+vXzyyO1q9fb/85IiICCxcuzND2OXus9LRo0cJjIvXsaVi9enXzr4iIiIiIiEhOxSo+rDBktQlhlp/acoiIiMg1Jf9vcQVXPa7kCB4d+JPsq0qVKibDsWDBgu7eFBEREREREZHrwlYcK1euRHR0NHx9fVGrVi0UL15ce1NERERE3MajS31mBywTapXkdFxYdtTbjVk0Bp2/6+zuzRARERERERHJtJMnT2Lx4sUm6BccHGxaiSjoJyIiIhllgwt7/MEzKgfK9VHGn4tt2bLF1U+RI7EMyuSek9HsP83cvSkiIiIiIiIimXbw4EEkJCQgX758qF+/vgn+iYiIiIi4W7bK+GMm3KZNm67rvuyV9+yzz2b5NolrcNZBcmKyx/QsFBEREREREe9Su3ZtVKxYEU2aNFHQT0RERDLNluzaRbxXtgr8sTxGjRo1zM+jR49G586uLwN5s54nI958800zaMidOzciIyPRpk0b7N+/3/QLCAgIsDcKdzRixAjceuutbtleEREREREREW8RExODnTt32i/7+/ujUqVKprefiIiIiEh2oaPTbOKrr77Cu+++i59++gkXL17Erl278Oijj8LHxwcNGzZE5cqV8cUXX6S4T3Jysrnu4Ycfdtt2i4iIiIiIiHi6s2fPmn5+O3bswN69e929OSIiIuIBXNbf73+LeK+bHvgrXbo0xo4di7p16yJPnjxo27Ytjh49am5jkGv9+vWYMWMGxo0bh5kzZ5ryn1ysQNc777xjgmDMiqtQoQJmz55tf+xLly7h/vvvN7dx1t2CBQvS3RZnz7NhwwZzf2YfWo4cOYKgoCCznXzMvHnzmiBdkSJFULhwYbz00kspPkh///23CdZxvWrVquHXX3+95n5ZsWIFbrvtNlSvXt1c5n27deuGUqVKmcsPPfQQPv/88xT3+euvvxAVFYUuXbo4fcy4uDhzu+MiIiIiIiIiIhl34MABLFu2zIyxeR6D5wJERERERLIrt2T8ffLJJ5g2bZopXcnAWa9evVLcztKbw4cPR4cOHUwAzgrCvffee5g0aRK+/vprE8SaO3euPTBG3333HQYMGIDz58+jd+/epu9fepw9T61atUzQcPr06fb1mFXHsptFixY1l5mRt3btWuzZs8cEAj/77DN7Nt7GjRvRtWtXvPrqq2ZG4Icffmi2hbMC09O0aVN8//33Jii6dOlSxMbGprid+4izCpcvX26/js/bo0cPhIaGOn3M8ePHIzw83L6UKFEC2UWVKlVw/xv3I3ex3O7eFBEREREREZGrcPIxx/hcONmX5wSaNWuGkJAQ7S0RERG5cUwmcuUiXsstgb/HH3/cZO0xYDVhwgTMnz8fhw8fvub9PvjgA9OTr169eiY7sGTJkiaAZGnXrh1atmwJPz8/9O/f38zKO3PmTKa3j9l1U6ZMsV+eOnWqeTzHg//XXnvNbD9fx8CBA/Hll1+a2xjoY8CxdevWps4/BwUMLDKolx4G8JjRx1mE7du3R/78+fHII4+YLEYqUKAAOnXqZIJ9xKAiMwm5rWkZNmwYLly4YF8OHTqE7IIDpYgSEfAL9HP3poiIiIiIiIikwOw+TrzleQXiuQeei+D5BhERERGR7MwtgT/HLL1ChQqZMposp3ktPOBmec+0MHvQEhYWZs/OyywG4VatWoV9+/aZA/3Tp0/j7rvvtt8eHByMggULpng91vbv378fkydPNqU6reWXX36xlzNND0t2zpo1C+fOncOff/5pSnkyA9DCIB8DiJcvXzZZjxUrVkSDBg3SfDzuV5YhcVyyC/4u50+ej8unLrt7U0RERERExMO9//77pu0Ex3KNGjXCypUr013/hx9+MJM8uX6NGjXw+++/229LSEjACy+8YK7nuJNZYH369MnQmE9yDk7C5dg8ICDAvGfKly/v7k0SERERD2NLtrl0Ee/llsCfNWOOTp48aWbSFStWLMU6zJZLjQG23bt3Z+m2OHseBuvuuecek+nHzL+ePXsiMDDQfjvLcHK7LQcPHrRvP8tpPvPMM6bcqLWwhCizFTOK2YzMFGQgcNOmTfbrb7/9dlOyk2VImfmXXrZfdsdMzG3ztyE+Ot7dmyIiIiIiIh6MLSEGDRpkerOzZQPbO7DXvOOYzhGrsHAyKMdb69atMy0iuGzevNnczomYfJxRo0aZf3/66SfT2sFxsqjkfBEREahTp44ZmztO/BURERHJMjYXL+K13BL4YzlMDoxiYmLMTMlbb70VxYsXT7EOMwEZIExMTLRf99hjj+Hll1/G+vXrTX19Bty2bdt2Q9vi7Hkcy31ykPjggw9eFSxkGU1uP18HZ48yOGhtI0t2snxpUlKSvTzItbaT92FmIAOFxEElLzdp0iTF87LkKAesW7duvao3ooiIiIiIiKQ0ceJE00aBY6mqVauaCi1s22C1UUjt7bffxp133onnn3/elHccM2YM6tata3rOEydjzpkzB926dTP94W+55RZz25o1a8wYVXImnmPYtWtXiqpBnOCbK1cut26XiIiIiEhm+cMNGEjjDEpm73GQxLKVqXXt2hXTpk1DZGSkOQBnQOzpp582wTQOsFhGhSVV3n333RR9/jLL2fOQ1SuwbNmyZkaoo9y5c6N27drmNvb7e/TRR9G3b19zG2cEfvPNNxg5cqQJ9jFYx3XfeOONdLeDWYZvvvmmGYyydAwDktxHQ4cOTbEeb+fAk9vNPoAiIiIiIiLiXHx8vAnIceKmhWO0Nm3amAmazvB6Zgg6YobgjBkz0tzN7KnOyi0c1znDCaFcLFFRUeZfjie5uBqfg+Pdm/FcORHH4Gz3sXfvXlPhp1WrVk6rA4neSxmlz5z2UVbRe0n7SO+lG/8MZWeuLMmpUp/ezS2Bv2rVqmHEiBFXXc+BiGNZjYULF6a4nQfegwcPNktqzM5zxAGX4+OlxdnzEAdtLC167733Or3fU089ZRZnWrdubZbMYGlRLtfCvhTZ/QsrMybeMdHdmyAiIiIiIh6K/do5eZQTKx3x8vbt253e5/jx407X5/XOMFDESjacuJlWX/Xx48eb6jWpnTp1ytzf1TiGZHCSY2QFtFJiaw5WFeK//F1wgi3fN6L3kj5z+l7KDvT9rX2k99KNcczkF/Embgn85QSc5bl69Wr8/PPP7t4Uj8SB88CBA68aUIuIiIiIiOSkTDFWpGFALb2+7sw4dMwiZMYf+8Oz8kxawcKsPnHMya18PgX+/sVgLtt3BAQEmIpCnGjLyj7aR3ov6TPnevpe0n7Se+nm8tbPXHBwMLIzHkNmJHnpeh9bvJdXBP7Sqsk/fPhws6TGfg4rVqwwvR3YvyErMx3ZTzA19upjnwlvwl4JzPpUk3QREREREXGVAgUKmBYOJ06cSHE9LxcuXNjpfXh9Rta3gn4c482bNy/dAF5QUJBZUuOJt5t18o0n+27m8+WEfn4M+hHHpWzbwdYf2kfXpvdSxmg/aR9lFb2XtI/0Xrp+Ou4Rb3XTA3/79++/2U9pSnZkxuzZs9O8jb3/rD6AmbVly5brup+nplkP+GAA4kvF4/cHf3f35oiIiIiIiAcKDAxEvXr1MHfuXHTu3Nk+452XWYHEmcaNG5vbn332Wft1c+bMMdenDvoxeDR//nz1X8+BgT+rnGeZMmVQtWpVd2+SiIiIeCEm5bkqMU8Jf97NKzL+JPvhAPmX//yC5mObu3tTRERERETEg7HEZt++fVG/fn00bNgQkyZNwqVLl9C/f39ze58+fUxFEvbho2eeeQYtWrTAm2++ifbt2+Pbb781bSA++ugje9CvS5cuWLt2LWbOnGl6CFr9/9hDnsFGyf6z//l+YI9F/u6tgLCIiIiIiCdQ4E9EREREREQ8Vvfu3U2A58UXXzQButq1a5sqL1a/8YMHD6YoA9WkSRNMmzYNI0eONK0hKlSogBkzZqB69erm9iNHjuDXX381P/OxHDH7j1ViJPvhe+DMmTOoXLmyucwArRX0ExEREXGLZNuVxVWPLV5LgT8RERERERHxaCzrmVZpzwULFlx1XdeuXc3iTOnSpU2pSMk59u7di61bt5rfW968edPs7ygiIiIi4gnU1TuLjR492t474lpYGob9JlgOhoMPzixdtGhRuvcZNWoUatSoAX9//xQ9J0RERERERETkXyzDum7dOmzZssUE/UqUKIGCBQtqF4mIiEi26vHnqkW8lzL+3KhUqVL46aefULJkSXP5559/Nj0kTp48iZCQEKf3KV++PCZMmICPP/74mo8fFxdnFktUVBSyi4CAAIRFhMHXT7FnERERERERyVqxsbFYtWoVzp8/Dx8fH1StWhVly5bVbhYRERERj+fRURcGuljOhQG2PHnyoEGDBjh06BBOnDiBbt26ITIy0gTdRowYgcTERHOfKVOmXNWngZd5vePtY8aMMTMF2ReCzeGJfR/GjRtnGrznypXLLOnJnz+/2TYOQjj70M/PD9HR0fbG8M6wKf1dd91lXs+1sDl9eHi4feHsxuyCWYt9P+iLPCWv/TpEREREREREMurs2bOmmg6Dfpx0essttyjoJyIiItmOLdnm0kW8l0dn/PXr1w+XL1/G8uXLTQ3/DRs2mEw6Nnfn5X379pnm3u3atUNYWJhp3J4RLBPSu3dv09R96dKluP3229GxY0dT4pOPsX79ehMEzCiW+WTAj2VI+vTpgzJlyiArDBs2DIMGDUoRCM1OwT8RERERERGRrBYfH2+q31gTgENDQ7WTRURERMRreGzgj1l9LJ154MABFC1a1FxXp04dE6ybN2+eyaqzsvKY8cfefBkN/BUoUACDBw82P7ds2dI0d2ewr1y5cte1rZyFGBMTgx9//NGUI8kqQUFBZsmONm3ahKmPT0X9ofXdvSkiIiIiIiLiQTjRt379+qbKj7+/x572EBERkZzOlc341OTPq3lsqU8G/Bj0svrnWQ4fPozg4GBTotPCOv+8PqMc70vMFrx48eINbS8zEXv16oW33noLS5YsMddZgUkuixcvhidJSEjApbOXkJyU7O5NERERERERkRye4bd69WozodZSpEgRBf1EREREMuH99983SU6MnzRq1AgrV65Md/0ffvgBlStXNuuztdfvv/+e4vz/Cy+8YK5n/ITJWax2ePToUf1ObgKPDfyxdx5Le7Cnn6PixYubrDpmBFr2799vricG2Vge1FF6PfdS8/W9sV3KD8SuXbvMzyz/aS3Nmze/occVERERERER8TQXLlww/fyOHTuGdevWuXtzRERERDLMZnNhj79MZvx99913pm3YSy+9hLVr16JWrVpo27YtTp486XT9ZcuWoUePHnjooYfMMRjboHHZvHmzuZ0xFj7OqFGjzL8//fQTduzYgbvvvlvvkJvAYwN/zMrr1KkTBgwYYAYAycnJ5g3I6HOrVq0wZMgQXLp0CQcPHsTYsWPRt29fc7/atWtj7969JsMuMTEREyZMMH0AM/O8zDbkfa9l5syZ2Lhxo1mXH4Rx48aZzMNbb7013cAgA5fsB8iFP/M6EREREREREW/CVh5Lly41mX6cSV6zZk13b5KIiIhIjjRx4kQ88sgj6N+/P6pWrYrJkyebPsmfffaZ0/Xffvtt3HnnnXj++edRpUoVjBkzBnXr1sV7771nbg8PD8ecOXPQrVs3VKpUCbfccou5bc2aNSYmI67lsYE/mjp1KkqUKGFq++fNm9cEATkgmDZtmvmXWYFNmzZF+/btMXToUHOf8uXLm2Bfly5dTGkQZg1Wq1Ytw8/ZtWtX00CcvQT4nOk5ffq0WZ/rsSQpPwizZs1Kt1cgP3wsC/rVV1+ZDwp/5nU51cQ7Jrp7E0RERERERCQH4Qz2bdu2mdnjnBBbsGBBUyWHFXxEREREcgybixcAUVFRKRbGO5yVTWdArk2bNikqG/Ly8uXLnW46r3dcn5ghmNb6VqUGHx+fa8ZN5MZ5dJdrRpUZmeaS2vTp09O8H1NauViYjmrp16+fWRytX7/e/nNERAQWLlyYoe1z9ljXMmXKFLPkdBUqVMCPP/5o/hURERERERHJCFa8YcDPKjvFybvsLcOTSCIiIiKSEhOjHLGU5+jRo69KUOJkKlYzdMTL27dvd7pL2R7N2fpptU1j5UL2/GN5UCZOiWt5dOBPsq/cuXOjSZMm5l8RERERERGRjODsc5448vPzM71nihUrph0nIiIiOdP/+vG56rHp0KFDKQJtQUFBcMfELZb8ZNWGDz744KY/vzfy6FKf2QHLhLLcSOqFZUe9vRdDuwHt0PaDtu7eFBEREREREckhGPBr2LChaduhoJ+IiIhI+hj0c1ycBf4KFChgjrFOnDiR4npeLly4sNPH5fUZWd8K+h04cMC0OlO2382hwJ+LbdmyBdHR0VctzsqPehN+Caz7ZR3iLlxdU1hERERERETEsmvXLrNY2OuerT1EREREcjJmwLlyyajAwEDUq1cPc+fOtV+XnJxsLjdu3NjpfXi94/rEwJ7j+lbQj8dxf//9N/Lnz39d+0kyT6U+RURERERERCTbSUxMxPr163Hs2DF73xjNEhcRERFPYUu+srjqsTNj0KBB6Nu3L+rXr2+qK0yaNAmXLl1C//79ze19+vQx1RbGjx9vLj/zzDNo0aIF3nzzTbRv3x7ffvstVq9ejY8++sge9OvSpYvpzTxz5kzTQ9Dq/xcREWGCjeI6CvyJiIiIiIiISLZy+fJlrFq1ClFRUaavX40aNRT0ExEREXGR7t2749SpU3jxxRdNgK527dqYPXu2mXhFBw8eNMdkliZNmmDatGkYOXIkhg8fjgoVKmDGjBmoXr26vdXXr7/+an7mYzmaP38+WrZsqd+lC6nUZxYbPXo0OnfunOH1ly5dahqSh4aGmg/A8uXL01w3Li4OjzzyCMqUKYPcuXOjcuXK+Oyzz7Joy0VERERERETc7/Tp01i0aJEJ+rEPDUtGlSxZ0t2bJSIiIpK1WI7TlUsmDRw40PTiYxzin3/+QaNGjey3LViwAFOmTEmxfteuXbFjxw6z/ubNm9GuXTv7baVLl06zBKmCfq6nwJ8bnT17Fh06dDAfqHPnzuHJJ580l8+fP59mmZMiRYqYergcAPGDNnjwYPz1119O1+cHjus5LtkF6/lWaVUFgbmU0isiIiIiIiJX7N+/HytWrDDlofLmzYtbb73VlIMSEREREZGM8ejAHwNdDKqVKlXKlARp0KABDh06hBMnTpimkpGRkWbW4IgRI0xQjRhMS516ystWNNu6fcyYMShYsKBJdWW9W2Iq67hx40zN2ly5cpklPT///LOpi8ssPs5i5L+FCxc21zsTFhaG//znPyhXrhx8fHxwyy23oFWrVliyZInT9Vlvlw3PraVEiRLILvg7aTWgFUIjQ929KSIiIiIiIpJNsIQUZ4IXL17clJAKDg529yaJiIiIuLTHn6sW8V4eHfjr168fdu/ebcpnMouOjSVDQkLwwAMPICAgAPv27cPixYtNwG7ChAkZftwtW7aY0pysU/vdd9/h+eefx549e0yJT9azZdZedHS0WdKzceNGp0FGXp8RsbGxWLlyJWrWrOn09mHDhuHChQv2hUHP7CImJgZnD51FUnySuzdFREREREREsglOzmVpzzp16sDPz8/dmyMiIiIikuN4bOCPWX3MnGOwr2jRombWIAcOLH85b948TJw40WTkMfOMGX+p69Omp0CBAqbEJoOHrEfLerXr16/P9DYyMMjSJY54+eLFi9e8L2dAPvzww6Zp5r333ut0HWYRMtPRcckutm3bhm+HfIuLR679WkVERERERMQzse0Fq9jEx8enGHOLiIiIeLorrfhsLlrc/erEnTw28McmlAx8pW4AfvjwYVMqhCU6LWXLljXXZ5Tjfa0SnBkJ1qXGwCMz8Rzxcu7cuc3P1apVs5cM/frrr+3r8IP7xBNPmMaZzFZkUFNEREREREQkJzl48CCWLVtmgn/bt2939+aIiIiIiHgEj40YMZOP2X2py1uyTwBLZDIj0LF5OK8nBtkuX76c4j7Hjx/P8PNmJgjHEp2pMwV5uUaNGvaSolbJ0J49e9qDfk8++ST++ecf/PXXX6Z3n4iIiIiIiEhOkZycjM2bN2PDhg3mZ/a6r1q1qrs3S0RERMQdKX+uW8RreWzgj1l5nTp1woABA3Ds2DEzmFi3bp3J9mvVqhWGDBmCS5cumRmGY8eORd++fe099vbu3Wt6/yUmJpref2fOnMnU8zLbkPe9lnvuucdkGn766aemrAn/5bby+rQMHDgQS5cuxZw5c5AvX74Mb5eIiIiIiIiIu3Hsu2LFCuzbt89crlSpEurXrw9/f393b5qIiIiIiEfw2MAfTZ06FSVKlDCDCPbOYxAwJiYG06ZNM/8yK7Bp06Zo3749hg4dau5Tvnx5E+zr0qULihQpYrIGWXIzo7p27Wp66UVGRl7Vvy+1iIgI/Pbbb3j77bdN5t4777xjLqcV0GNA8b///a8p8cltt8qA8nXlND4+PggMDMRbbd9y96aIiIiIiIjITcBqNosWLTKTaxnoa9CgASpWrGjGhyIiIiLexpbs2kW8l0dPqWMwbfLkyWZJbfr06Wneb9CgQWaxjBo1yv5zv379zOLIsVwng3kLFy7M8DY2a9YMGzduzNC6DPax1KcnqFOnjglkFixY0N2bIiIiIiIiIjdBUFCQaY8RFhZmgn5Wf3sREREREck6Hh34ExERERERERH34eRVK6MvICAAjRo1MtVf+LOIiIiItx8nuSrRx1MSiOT6eHSpz+yAZUKtkpyOS04sz5mVtm3bhhqNa5h/RURERERExPMkJCRg1apVptqLhdl+CvqJiIiIiLiOMv5cbMuWLa5+ihyJPRZP7z9t/hURERERERHP6+fHoB//ZU+/okWLKuAnIiIi4oBJea5KzFPCn3dT4E9EREREREREsszJkyexZs0aJCYmIjg4GA0bNlTQT0RERETkJlGpzyw2evRodO7cOUPrzpo1C7feeivy5cuHggULokuXLjh8+HC69xk1ahRq1KgBf39/PPvss1m01SIiIiIiIiI3bvfu3fjnn39M0C8iIsKMecPDw7VrRURERNLI+HPVIt5LgT83unDhAl544QUcOnQI+/btQ548edCtW7d071O+fHlMmDABd999903bThEREREREZFrWbt2rb2Pe6lSpdC4cWMEBQVpx4mIiIiI3EQeHfiLiorCwIEDzYCDQbUGDRqYINuJEydMgC0yMhIlS5bEiBEjzGxEmjJlCmrXrp3icXiZ1zvePmbMGJOlV6hQIUyaNMncNmPGDIwbNw4zZ85Erly5zJKeBx54AO3btzfrscE5M/ismZFp6du3L+666y7zeq4lLi7O7APHJbsoU6YM7nj2DvOviIiIiIiI5Hwcp/r4+KBmzZpm8fX16FMOIiIiIjck2QYkJ7toUcafV/PoHn/9+vXD5cuXsXz5chQuXBgbNmxASEgIunfvbi4zy45Nxtu1a2cCb8OHD8/Q427ZsgW9e/fGkSNHsHTpUtx+++3o2LGjKfHJx1i/fr0JAmbWwoULUaVKFVPGMyuMHz8eL7/8MrIjljct37i8+VdERERERERyJpvNZoJ9VoUaTo7NnTu3uzdLRERERMRreez0O2b1/fzzz/joo49QtGhRM9OwTp06Jgtu3rx5mDhxosm0YzYgM/6sjL6MKFCgAAYPHmyak7ds2RKlS5c2wb4bsW7dOtO/76233kJWGTZsmCknai3MdsxOv5/1M9ebf0VERERERCTn4WTaxYsXp6hao6CfiIiISMbYXLyI9/LYwN+BAwdMLwGW8nR0+PBhBAcHm1mIlrJly5rrM8rxvsRswYsXL173tm7atMmU73zvvfdM9qDFKhfKhYOpzOLrZ6kVxyW7YLbksi+XmX9FREREREQk50hOTjYVdTZv3pztJpmKiIiIiHg7jy31yUw+ZvdxAFKiRAn79cWLF0dsbKzJNLMCePv37zfXE4NsLA/q6Pjx4xl+3sz2MGDQr02bNnj11VfRq1evFLdFR0dn6rFEREREREREXInj6dWrV+PcuXOmxCfbVah3u4iIiEjm2WxXFldw1eNKzuCxGX8M6nXq1AkDBgzAsWPHzIxEltNktl+rVq0wZMgQXLp0CQcPHsTYsWPRt29fc7/atWtj79699nIlEyZMMH0AM/O8zDZ0LHWSXq9ABv1eeeUV9O/fP0OPn5CQYAZaSUlJZuHPvE5ERERERETElc6fP2/Gygz6sfVFo0aNUK5cOe10ERERketgS3btIt7LYwN/NHXqVJPtV79+feTNm9cEAWNiYjBt2jTzL7MCmzZtivbt22Po0KH2ZuQM9nXp0gVFihQxWYPVqlXL8HN27drVlNSMjIw0z5meN954A6dOncJzzz2Xoqwng5FpeeSRRxASEoKvvvrKlAblz7xORERERERExFVYNWfp0qVm8inHrc2bNzfjXhERERERyV48ttQnhYeHY/LkyWZJbfr06Wneb9CgQWaxjBo1yv5zv379zOJo/fr19p8jIiKwcOHCDG3f559/bpbMmDJlilk84Xdzxx13mH9FREREREQke+PYjVl++fLlQ506deDv79GnEzwOqxJt27bN9GRkiVaeu6hUqVKm25WIiIhI1lGpT3EVHamLW7AcDDMyCxYsqN+AiIiIiIhINsSWGVZgiG0zmjVrZqrOMHAkOQMDffPmzcOSeX8j6vghIDHeXO8TEIR8xcugRZs70LJlS4SGhrp7U0VEREQkiyjw52IsE8qef6n16tXLaSait2BfwtOnT5vZokFBQe7eHBEREREREXEQFRWFVatWoUqVKihatKi5TsGhnOXQoUN4+40JiD+6F7eULoim7RqiUN7cV247fR6Lt+zGzM/ex7JFC/HskOdRoEABc9vTTz+N1157zQR5f/nlF9x6661m7J6euXPnYvny5Rg5cmSGt2/FihXmcZl5eLN17NjRtH+xAtvsV9mzZ09MmjQJ69atS1Gd6J133oE3iY+Px+rVq7F40UIcP37EZIuGheVC7Tr10aJFC9MWR26czWYz+zowMFCTKUS8WLLtyuKqxxbvpcCfi23ZssXVT5Ejbdq0CQ0aNDADSfZgFBERERERkezh2LFjJviRlJSEnTt3mhP9yvLLWU6dOoW3XhuPfBeP4vF7WyBPaEiK20sVjECpgg3R9sJFvP/nckyc8BqGjXoRuXPnThHo+vXXX1GjRo1rBv6uBwN/ZcqUcUvgjxjcDAsLu+r6e++9F506dYI7MSDE4Ds/g+yp6Ww7XWHNmjX46sspiIk5j2pVS+DOO2rA398PZ89dwD///I3582ajTp2G6Nf/QZMFLJnPoub5sAUL5mPT1nVITkqCj68vSpcsh1YtbzPnyTQ5XkREsoICfyIiIiIiIiJiMlAY6ONCzACrV6+egn7XEbS5ePGi2W8MpLE34s32/XffIfDMQQzs3BJhwVdX2bnnlQ/RpWkdrNlzCBcuxSDmyCnMmjUL999/v8mG+/bbb/Hbb7/h7NmzmDBhgslKevbZZ1G8eHF888032LVrF/z8/EyvwJdfftk8ZmxsLF5//XVT9Yiv+YUXXkDhwoWdbh8zyv755x8TYGa2YIcOHUwgkBllXIi3ffXVV3jzzTdNJh735+HDh01ArHLlynjyySfNdsXExOCTTz7Bvn37THUhBhIHDBiQI/tQct8tWLAAK/9ZgoT4mCtX+viicpVaaNWqNWrVquWyvozLli3D1CkfoX690ujcqSsiIyNS3H5P59uwevUWfPPdHEx88ywGD3neBKn4e5wyZYr5nQ8aNAilS5d2yfbldMePH8e7703CoWN7ULB4GJq3K4fQsGDExyVg59ZD+GjKW/juh0J47JEnUL169TQfZ9iwYSYwfcstt8Bb8buma9eu5jtKJKdTjz9xlZx3FCQiIiIiIiIiWYrl/Bho4clpKlu2LKpWrZoi6MeAy8GDBxEXF2eyfXiC/2ZlIrnLyZMnsXjxYuzbsxvxMTEIyZUbVapVQ9OmTU1QjxlZPAnNoMf+/fsxf948rF26GElxDNr4ICA0FA1ubWX66DG77WZkTjJYt/GfJehWo5zToJ+F2zLx4ftw/FwUHpjwGf7+/Tfcc8899tsZBJwzZw6GDh1q3g/09ddfm/fIW2+9ZYI+7CFoYTCQ2YKFChXC1KlT8eOPP5rgnDOs/MPymtwnVnZdwYIFzeNbgT8GIhkQtOzYscMEAfm8r7zyCmbMmIFu3brh008/NW1WnnrqKRO8fvfdd02mIjP30sPApBVE43ZamYc//fSTCUYSM7B69+6Nm5EJNm3aNCxaMBv58vihXetqKFu6iNm+02cuYMmKLfjg/VUoUaoKnnrqGeTNmzfLy8J++cWnaN6sEno+0MHp+5SB1FtuqYVixQrhjYlf4euvvsKDDz2EP/74Az169DAlYcW5EydOYNyrY+ATfAH9nrkdxUsWTHF7g6bVcO5sFGZNX4qJk17Fs08PRc2aNbU75bpFR0ebYD4nRPBvFEt1V6hQwf5d7i78jubngZNjOHmEE4zy5Mnj1m0S8VQK/GWx0aNHY/369eYA9FrWrl2LRx55xHwJ8yCPg6pXX3013YMlDrQ4c23mzJmm3v7AgQMxatSoLH4VIiIiIiIiktPxxBqzqNhigeU72YPt/PnzZvzJwB17nN12223mBDOvY7YUAw3MKipWrBj27t2L+fPnY9nf87Bzxw6cOHIEifEJCA0IQGhQEEILRqLV3R3Qt29fE8BxhiccOfZl6UkGyXiCr06dOsifP3+K9Zi1xcDRhg0bzHbwZCADSFyXWV2p12XG2Llz58y4uFy5clkeVONjfzl1KjYuW4LgyxdRPncowvz9cSk+Hj/N/ROfv/s2fMJyI9THZsr17dq7DwEJsahaMALtalRG0XyFwNY6R85dwLLffsCy339Dw9vvRP8HH3R5BuDSpUsRGHsRDSs2THe9NrUrm38L58uDplXLYfO+3Wa/poe3MyPQeg2OvfCYhcffmfVzZrNxateujY8++si871jekpmnDM5Zmjdvbn7fdMcdd5jHZ+CP7/Ht27fbz8Mw45InlHNKqU+eCGfG3Mrlf6HnfU3RrHGNFFl9FcuXQJNG1bH/wDFM/vx3vP76q/i//xthAs9Z5e85cxCRLxAP9Gjv9HPUsdNAdOvaFqvXbEFsbByqVCqLlSuX4EJUlGlxw8Ahfx/MCh0xYoQ5t8Vsz59//tmcI+O5MmePy3NcY8eOtd92+vRpNGzY0DyOp+B3KzP9GPR78OmOCAm9Ohg/4P6xaHdvMxzcfxTnL0bj3fcnokK5qibIzvcz+6wOGTLE6XdhWtmu/DwsWrTITOrg5UcffdR8Lvl++/DDD813La/nZ8XK6uV3NbN9+Zx8D/br1y/dAORff/1lnoePw9fJ4Du34aGHHjKTIzZu3IjLly/jzjvvtAfijx49io8//thMGuA2t23b1mQvLlmyxDz/suXLwC9PZhM/8cQTZtIEzZ492wTl+R3QuHHjLP89eQru7++//x5/LpqLY9Fn4BMRAh9/P9jiE+E75xfUr1gD9WrWMZM8bmY2Oo8F+F39199zsHHXNsQnxsPHxxe5gkLQqklz3Nb6NvP+9Mqy4rYrWX+uemzxXgr8uREHWfyjVbJkSXOZB0Tt27c3Mwqtg9nU+EeUs/c4y5LrtWnTxjxOnz59rlqXszC5OB5QiYiIiIiIiGfjmJFjza8//Bh7N201J1dr1KuDE+u2ICk5CbFIRiJs2L9tG5bM/gt+vn4oU6kCWtxxOwYPHmyCIePHjMH2f1YjZv8hBB47hcrxSajt44ezNuBkUiICEoCCcaew6L2PMOurb/DUiyNSjEt5Uvf333/Hkr/+wsVDR5AbPuD5vOikJEyLyIe6tzZHuw4dzAnjH374Ab9//z0uHDkKn4QrJwNtQYEIz58f5atXx20dO5oTxxwDMzC0cNYs2M6fg19yMmw+PvDLFYaydeujR58+Zox8oycz+Tyvj30FSXt2oGulMqhTshYC/hdIunz5ElavXYt1+w9h9fbzCCxUCEEB/iiVcBFti0Ugf6gf/M8cQ2Th/Ca4WaVoIdxWtQLW7D+M72b+hNiYGAx8+mmXlWskZlMUzxOCoEzsh9CgQOQN8rdnfF4Px/3O18dAb2bdfffdJoDEjLbbb789Q79LBjJY/pDB6pyIpTJXLJuDh3u2QoN6VdJcr3SpIhjy1H147e3p+PrrrzBgwONZlhm0evVy3N2hfrrvS35+337r/3D8+Gk8/ex45MkTbrKH+HlxLD354IMPmqAq/+Wk9YkTJ6Z5Mp8TAd5++23zvDzPxbKxjlmnnoCB0YNH96Dv07c5DfpZ/Px8MXzcQ4iLjccjXcehVInyZt/xczR+/HiTxdqlS5cU90kv27VVq1bo3LmzPVuWWbqTJ082QUIG/f773/+a38ulS5fM54yffWad/uc//zHZYZwswsA7nyOtzyFv++CDD0yQjgFGLhZOMuFzcgLKM888gypVqpigIMsB8+8MywYfOXIEPR7ogfAC4fDLBezavhv1W9cFkm04e+ACBjwxAC+OfNEE+pgNzPcKn+uLL77Ist+PJ+F53/ETXsWy3euRv0ZpVKtaE4Eh/77n4i5eRvShi/jgx6nYtXc3hjw32GlPyawuJ8v31mtvvI51u7fAlj8UBeuURL7cYbAlJyPq5Fl8s/h3zFwwB/e0aWe+N9J6v6nMrUjm+Hv6F97w4cPNQSNn6/EPDAc/nMXCP4qcucgAG8s28OCCAw7OsmLteM5Icpx1xtlGnOli3X7fffeZP6j8I8kvHt7OWS7jxo0zs1w4O806gEoLBwHWLEfeh7NsuD6/EJ3NluSsDc684ew9HgRz4evgH1pngT8eGFi19rMbziDl7D3VfhcREREREck6zKYY99JoLPvhF0RfiEIu+KCUbygaIjcag+XlknEAcdiGGJxAPOJhQ1xyMo5v24Hp+w/h1LHjiAjPg/jte9HANxhnT0YjEiEolicMQf7+4On7U4nxWBhzDidtSeheoATWnTuNt4ZdqUTDsSnHtG+OH4/zG7egbkR+NKheC+HBVya3xicmYsOxo1g14zc8NX26GecGnTiJeoGBqF2kCAqGhSEmKRkbL5zHhvMXsGfJUpzduRNfTZmCA9u3oUDMZdyeNw+alS+N/MGBiE9OxtYz57Din6UYv3wZ/rq7E/4zdux1Z0Mx0+WdN9+Az/6deKZFI+QJCbbfxm1dv2YNQmMvoW/18ugYn4j/W7IegX4+GHNrbZQKz4W4xETsP3UWW9avQ9VatU3mIs8b1C9TArmDg/DhvL/wV+XKJpDpKjz5HuB37ayJeRt24P4W9XHy/EVsO3QcxQoVvCpYxwAAX7eFpS///PNPk81jlfp0zPrLjNSPTQxWsIcgz5EwaOCI50IYFOI5nb///tucqyGenLbKilrnVRhsKFKkCLI7Bmvmzp2D6pUKpRv0sxTInxcd2zbAtJ9X4Ny5+5EvX74b3gaem0lMjEGjRjXSXe+O25uYfwsXLoCaNSoiKioaWzZvumo9VrFipteLL75osvky8v7gZAWWb2WAiJPbPcn8+fMQWSzkqvKeqTVuWcv8G8Tvtfg4/PjjdBPEJ37OnJV3TS/blZmzzPziuVFexyAbb2dWLj/nDKLVqFHDfKb5HcVsOwb7/u///s/++Lye2drMOEzr3B6Dk8zSZD9Yx+A7s3J5fwZ3mzRpYoKNPFfKAC8zDBlwXL12NS7GXkC55s1QvkZZnDx1EqeOnDL3j0uOh19uH3z6zcdYvGQx6tata4J+1K5dOzNhxMJs8S+//NIELW8mZrKyklt2mHRgvjPfeRtL92xA5U5NEJbv6vKZwblCEVEpPy6H++CvP5cgzyd58NSTA126XczifXnsGGw8uQ/l72yA4Nwps6zDIsJRuFJpnN53BF/9/pN5bzJr1ZWTY7IbW/KVxVWPLd7LowN/DNTxIJLlTFhigH9kGOjr3r27ucxZLmfOnDF/MDijkUHCjM7WYbCQfzR54MlZaCx1wZk0fIyMlvq08I83D0z55cZBUlolUjhDh3+krYNb4s8MNjrDgCQbK1v4x75EiRLIDnjQwYFYRspviIiIiIiIyLVxzPfamFew5oeZSLwQjZIIQl2EoSxCEY4QJCMEPkhGeQSjKAKxHpdM8C8ayYiDDYExcfjz5xmonb8wnm99F1bOX4gCiTaUDguHn++/gaRI/0Dck6sgfo0+hb/OHEP/4hWRfHQvJo7+jzk5+8UnnyJh01YMqFUXeYL/DZxRoL8/GpQoiYiERJxesginLkXhnuIl0LJ48RRZQaXDwtAmMRE/Hz2CZUeOYP/GjWiRNzeeq1Ud4an61hUKC0OzYkWw/OgxfP/rDLzkA4yf8LrTTIZrYSnLY1s2Ykjj2imCfqyXtWXTJgTEXkK1ooXg5+sLP38/5PHzQcVcgcgfdCVDgcHRSoUjsfPEaWzfvAkNGjexb0elIgVRv8BhzP/zD3NS3FUnNnly/fDleBNUSq9sWrLNhkGf/IjY+AT0b3MLft+876rSlzzXwUnPfA2c8MyMIwYj+DOzMnginie/rweDfAzuMXjB6kfcJ3weBgkYCGLQ1BH7UzGYxCAIS8JZ5Th54p2TtJ/+XyYll/79++eIwN+BAwdwYN8ODHzotgzfp2G9yvjxt+Wm9yQzJG/UleBrMsLDMxcsD8sVipiYS1ddz3NbfF0858NzbtfCcpWctM4+gZ7Y127r9o1o2ObapYiDg/8t45k3Xy7kz1fEnNfj+UtmVbIHZkazXRn857lCLvzc8HfMc6HM/uZn/P3338fmzZtNgJbZcyzNysfiOcbnn38+w6+Nz717927zWPwd9urVK932RXwOfj8xUWHU6JGo3rIy7uxzG0JyhWD3xr0oUDQ/+rzQI8V99m87iB8n/YrLl1JOEnDE18hWSDfb9X73uQLPeS/duArl7qznNOj3y0sfoVKLuojaeQxhZSJRqGEFTP78Y2xYt96cK3csE5uV5WQ3btqIvScO4/bBfUzQjwG+3Ss2Ijkx8Upgef8RVGnV0FwfGBqMH/781QRyeRufj5OZONGEQWlO+OB7mccZ/J6xMlx57MNz68xQ5d8SVtR77733zOeG28VtIm4Xs15Tl7llhjLP9fN5WZKUz83s1/S+j5gUxPUOHz5snp/PwcknnJjCv1H8jHHb+Zz8O8rJPqnL7DpmyIq4gscG/nggyg86DzasmSnsDcBg3bx588wMRP6x4cL64/yyzmjgjwefTEsn1ppm1hqDfewrcD2Y/s4vUs5Q4xdMWhgc5B9oxy9hfrFxJpszPGC+noHOzcAv08cee8x84VkNtEVEREREROT6cay79e9FiLtwEUUQ8L+gXzCC4Wsy9bgww28PYhGHZJRBEPLCH3sRi4tIMrfnTkxCuegE7N62Hbgcg+KhKYN+Fj8fH9wVlh+fXTyGrZfOo3Oxcti4f6MZW+c9ex4Data5KuhniYq6iEO7dqNtaG6EJiRgW0wMrnRxSinU3x+dCxfB7IMHUT04EH0KRsA3IR5IFfgjluJsVpwnv33w5W+/4c/b2mQ6KMKTcgvm/o1KoYEoHJ7yxOmZM2cRc+EcqkdGmKAfbTh5DmF+PqgdkRvHL0ShfHDklZV9fFCuYH6sOXTcnKx0rHTTvGJZrFqxCZs2bTLZMq7Ak/eLfv0B+06cQdnCKYNnjjrdUhMPtGxgfl67+yBi/ELMfR178zEYx8Uxq4QBGgYhHAOX7BXJxcIsIi7p4cl6lht0xMfnCVieL0iN+5EZYamxXyVPRGdGWv0Hb3ZvOZ5M9/dLRLUqzieAOxMcHIQqFYpgz549WbINV8rq+SA+PgFBQSl7yDn6e+4K0wPw5Mkz2LptD25tXh8nT/kgMSk+xXpTp041gShOROd5tvLly6cZhOXJewadeGKfgWBPw9fH7L3QMOffhWmpWa8ils3daq8ixuw4fpekDvClle3KLEsGFSIjr3wnseSqhUEJfnZ5jpSfdwbtmIXHYAqzbffv32//zmI2aMWKFdN8bQys8HPMhcEPrm8F/hikqV69utkeJmQwoMjtZ6bvO++8g/2n9uLugXch9vKVFkXFyhXFhdNR2Lf1AIqXL4ZZU2bjwM5DCM0VggSfBMydP9ckS3CbWUaaGY1cWG6W36cMArEUNLeJkwAYbGF/WwaKGJCqX79+mvubr5nfRWyXxGBTixYtTKCU+Lj8jPA7hq+F72t+D/G1sZchzylzG7777jssWLDAXqZy5MiRToO1rjJ3/jwk5PFD3qJpf+fz937XI91w1jcG635dCL+8IWjWrJnp0+tYJjarysmOGjUKAwY9hYiW1Uy24eXzF7F7+QbUv68N/IMCcflcFH568X3T365xrw5XXse736BY3kh8OeVKOVdW3GMvSZ7j53uckwkYcOTvmeeWOfGD7wsG8N58803zfcPfB9+3fA/yPclsYuv37KzMLR/jjTfeMNcza5TfR7ycXplb6zXzOXnunc/B7WLfWe4Dvtf5/cfPG/+uMMmHj+X4/PxMc12bC3v8uax3oOQIHhv4Y8CPHzyrf56FkXgeFFoNp4lfCLw+oxzvSwzGpRV8yyjOruDMGH6ZcpYAv3itcqH0xx9/mMv8g2XNpCB+gWRlQ+ebhftr4cKFN7zfREREREREroUzr9lXiBNAGWzhiSuWJksLS4jxhBVPEvGEJmeDs1KMhSe/XnrpJXz88cdmIidPErHPEdd1F44T//5tFpKOnQHrqlRGCAog4H9BP/4HRNuSsRcxpr+fP3xRFSFIQjJOIQGB8MEuxKCCTzAikoADe/ehpI+/yWBLS7CvHyr6h2DdhTNoEF4ANQLDMGf+Agxq1tJe2tOZo0ePwDc2Bnl9fdE8PB9+jj6HA5cvmyy/1HaeP4e8fj5olCvUvJLL0ZeQK1du028sNV8fHzQoXBArz0dh+tdfo0OHDpnKquP49MCWTehVJuV5BDp29CjCfIBcDkHH/ReiUTw0CBXCQ3E8KhrlC0X+Gxj19UWBkCAcO3LYnJewtqNE/rzI55NssmRcFfjjeYUCpSpgwaZd6Qb+HN/P87fsQYXaDd1aso697njiniUD+Rq8ASd/BwX6Zzr7MyQkCBfOx2TJNlypDOWPLVt2o27dqmmux6DsM8+9itjYODzycBfMm7caZcrWw67du+3rMNCyZs0aU/6R5+QYGGFgj9+/zIRJjSfuOZGe57aWLFlirmvUqBF69uwJT8Dfq5+/vwmqZkbbu2/BPwu2m1KpPOfH98kTTzxx1eczvWxXnmNkkIqlNh2z8Fh6kX8DGbjjUrVqVfOZ43nGIUOGmEwpBsD4N4XnS9PKAOT7geVC+b3JgAyDjY6BeV5mwIPnMfldzB5/VkCsW/duuJh8Ht+89QNCc4Xi7ofuQu58udH1qc6YN30Rju07jpNHTqFui9q49/G7cSnqEt4b9BFmz55ttuvhhx82r4HBHv7tTY0BHQZa+D7i+5F/q9ML/PE8L/c1AzOstMbXzAAjExU4CYH7he9PTq7hRAgG/Rwx4MrAFLMn+T7n/rtWhmdW4u9g2dqVKFj330kmzpSs/W8Q9/iOA4i7FINXX3/N7CMGPJ1VZbuRcrLMCN1z+ADqt6pq9sfp/Udw+XwU/vlutv3xuZsKlPp3YkBCXDwWL11qqvjxPcTjNv4eeN6cj8HvBwbPeN5/5cqV5u8Xt996Xn6f8DuNwebmzZub4LcVQGcgNq0yt9z2u+66y5RP5nv7WmVuiY/P7SK+LzihhIE/bh8/h8TXwB6V3C5+DhyfX4kw4moeG/hjTXB+0R46dChFeUs2j+UfTGYEWgE8DuZ4PVnBNUeZaW59o6U6+EXLAx8G/lL3B+R2WbMD+EeZ+MXBLwsRERERERG5Gmfh8+QnZ1XzhBHLM7Vt29bM1HY2G3/ZsmUmo4mlyHiShuWeOKOdJ4ask3082ciMBWa28OQig4R8zK1bt5qJpu7A5967fhMux1xGQfgjDH4mm49MX764GOwHAwU2hMAX5RCMQPgiGonm5224bMKDZX2D4G/zQXxcPIJCg8x901MpMAzbYs/gbEIccgcGI/jiKVRy0ovKkpiQiFNHjiI3fOFnS0L5kFDkjb6ADefPXRX4YynK5SdPomhgAKqEBCMqKQmBCfGIi4tNcz+HBASgQd7c+HLTRpPJkpnSgazEY0tMRP5cVwcgz585jeJhKYOZcUnJCPHzRZCfH5JiE5CcbIOvQ3ZkgVxhOHHmAmJiYhEWFvrvNvr7pVvt50bxhGW7Tp3xxTtvoOymnWhZ4+qMnZ9HXsmo40nTX1ZsxL5YPzzd/krGRVZi6VSeDE+ta9eu5qSpI34+uWRVJt6YMWPMiVtHPOeTVrsUd+D7ODYu0ZwMzkwrlEuX+BnImmwintguV64KFi5ak27g757Ot6FXz47m561b9+DkqWj0e7AlHnzooTQzPXlui0taOPH9l19+8dh+Xvwsli1dETs278MtzdM+dzf52xEpLu/bfRR169bHW2++awJyjqU++bcpI9muzJTiYrEyuVitjH8HnWGwy7G9UHp4fpJB3bQwa84Kfjjiudpi5Yrg1j73oHDJlIkVvPzAoK44d+o8pr35A/JGhmP3hj0oW6MMKt9SEYj1NX+T6f777zcLA5mpMfjGYIv1HmNmVXoYNGIAkYEsE6A6fdr8zMAMH4t9D5977jnzWCx3nBqzGPk5YvYXMykZZExdqtjVgb+4pATkzZd+Yoj//0pSW5lgNds3g+/O8+aYxgpgZWU52UGDByPRD1j+1Sw06n4nDz+Qv2RR1OrwbyD64qlzyB15pXcjBYQEIV+BSDz44IPmPcT3auoEHGu7GLTm81ufDQZ4+V3KzEO+T/he42QElqGl9MrccvsZLGdmY1azgsCpn58lVM1r+d/iCkr4824eG/jjlwLrvfMPID9IvMyAGWfaMRWZszU48GOKMGd1MK2Z+AeOX+6slc4/EpyllJGa5I7Py1kHjll5aWGqPbeHX1T8I8MvM2YeplUPm39I+CXKQSXT7/mHnzNceDArIiIiIiIiV+OYjlkR1glIjgNnzZqFzz77zJzMS40zsdmLxcpy4Hhrzpw5JgviSkkmmxm7MWvB6jHGk0ccC3JGPE9EpsaTT1wsnB1PnFXOJSuwJ1rsxUsmm6+QbxCC4I9A+Jlg3nGfRJyIiTJT6/MhEKUQZLLjyBd+KIZg7EAsguCHYD9/+DNzBDYk+/rC5qTMp6Mw/wD4+PgiFslI8vFBmK8fwvwD0zzZFB1zGUmJ8QgJ8Icfzzz6+aJQYBDOJSTClipDIjYxERcSE1A2NAT5AoNwOjkJ8PFFYnLyVes6qpQvL3xPHzD9dVJnZqTFmuHPJcmWnGL7bbYrvyc//4AUzxvk74czyTYk+/hc2U++PrA5hErZA9DmAyQmJcLxtxzDgGFISJb97p3h+Yxjx3rix+lf48S5aLSuXRH58/xbVYiOnb2AP9duw7oz8eja/1FzbuJa28Tb+RnI6LazfCCXtB7LlViCzx3Pm5n9xLJ0ybYArN+4B3VqZSxj+HJMLLbtPo67OtyWZa+lZavW+OzT97B27TbUrn2lH5ajK6/lyhIXF4+ffp6P4sXLmZKQ17sNmX0v5VQtW7TC5E/X4tSJ8yhQMO1JEZbExCRsWLkXrZvda84r5sT9ZG2vs21mdmcSkhDOPnRp/KHIVyAvHhndFwe2H8L+7Qcx/8dFKFGxOOLi41I8Jp/Hei7H5+R+s24z3+lJSenuP2ZNclIAA0YMwDO4yskZ1n2YVMIM1nPnzpnzt1b5R8ffC4Nn27ZtM2VH2R6K551vZuay+ZvO15tepMeKMNmAIpVL49D6nSgdGmk/LmEAkdmijvuSkzGmT59uMk5Tl5NlkC9//vxmPZb/tO7H/cRgfr78+VCsajmcOXgM0WfOo0DpoqbUZ7QJ9uUzz5sQG28vRU6FK5TEsfW7TNYmH4u/hz///NMcb/Eys/xYVprHXDw24/Ecz+kzY4+lPdnnj0E8BtkYqGW2opVtzPce3w+py9xyYXlSx8oO6ZW5tSxduhT33HOPeXw+txU0ZzY/t7l3797mOTmhjMebqcvsMlNRxJU8NvBHnH3JDzxnWvBLiWnlrH3NqD+bvjIrkAfbTP0eOnSo/aCLX9acwcEvFKbLZ+aLmrPW+PhMJeYXHsu+pIUzSPjHgF9OnKXDzD1+YaXXK5CDTaaZM0OR287XwVrGIiIiIiIikhJP0PHECmerW3jSpU2bNqYMlDO8nhmCjpjNZ5W54skhVoXhY1h4Aownx3hfZ4E/nkS0Zpw7YjZSVmV+cfJpqUoVEJM3L4ogGOEIgD+unJwskJyMs7l9UDAkDwoH/Zt5RoFIRj4koTSiEYoERPiFIo8vg4Y2+AUGIzkk5fqp2ZISUCI+EoGRxZHrQjgqXi4AW9HCiHaSNUcx/n4IKF/OnJxMSkhEXGAA8l0siPggf1wunLIPWFxCAgojGREB/rCxR1ZSEhKCg3A5V24kp5NZmRgbi7KBYSbYygmzGWGdOC5ctjz2IxBhwSmDZChRBtEBfgjM9e/+KF01Fw4fOoYD+cIRUCgA5/JHpnytcQmAfzgu5opAQuCV7T0ZdRGBxUqZ7JCMbtv1YqYVywSuWrYEH6w5hGK5AhERFmLO+56+eBnHLiciLLICHujSymS2ZGR7uJ948pL7ylOztLJCRvcTAwg1azfCqo1HUKxE+mX6LBs27UdEZClzjiur3kOslNW4cWv8OnM1Ll3mubESKUoVfvLxBHP96TPnMHv2UiTb8uCee++9KqMyLex9xhPjjrhveDKf5+w8+b3EfVuhTE0s+2sXWrStZ+8RmpZ1K3chf65S5hwhf7/u/syx0hgDP6kxI549Bp2xsmqdvT9Nxl/h4vCLYYFp56elo85FITg0GBXLVUK5UuWxa9UeIMYPyUnJ5r3ESQoMADEYx6AeJ75Y3/eOPxP/xvJYIL3PCqvC8XwwEz+YHcjylsxw43147pYBQU4G4nuYP7MMpfXYvA8DYvyZ54Jbt25tAoDr1q2z91h0NQbgKpQsg6RLfohIdp65F2jzQ4QtBLltgebv7613tMb8L3/F/h37TI9Ivrd4/MLXwqAbg3d8/eyVy8oJ7JPIdfi9wPU4qYbvAd6XQVO+F7if+Z3A+7E/HivaHYs6gzK1KqNq+Urw9fNDcMe22Pz3KpP9z/d2QtQlFPALQ6DflTLaTVveioX7z+LDDz805/DZ85WTR7j/2TKKk1q48L78XfM8OUsJEwNt/NvK8ussvckAMLMBrUAtf1fMykxd5pb9+Rjk4zl9Xs/1mXiTVplbCzMdX3zxRfP5ZJDRmgzG8/bs48dz9vzc8rH4N5Z9WR3L7LJiBNmSryyu4KrHlZzBx8Z3oHgFzt7ggJRfSKzx7U78o8oZtkzddpayLVmLfxCt0hCefECdXWh/a397Or3Htb89md7f2t/ZXXY6ps8JmPHFk3ecbW2V/SJO/OQJJPYUS40ztzmJlOU+LTyBw8AdxzF8LJ5U4mNzZryFfV14QownyDKS8ceTwTyxllW/R2YZPPtAX1zYvhe1EIqSCDIlPE2HP44BaleAz/rd/KJLcT+W+jyJBMzDBexHLKr5h6Cefy5c8rGhQEAgaoX/W4LLmVUxUVhri8GAUlXw5r7NOJEch4969kG+sFSBM+u1X4zGumVLUdhmg39MLPKFBOPLU8eRPyIvuhT/t00HxSYk4N0tmxDp54O2+fLgbHIyioUEI19kgTTLktGB8xfw8t6DGP3ZFLRs2TLD3/88YfnrL79g7+xfMfS2pikCHxs2rIftzElULfrv+DU+KRn/WboOkf5A91oVUTxfymyeA2fO4hT80ahJU/s47JsV67A/vAhemfD6TRub8WQsS26uXLECF86eNq8romAhNG7S1GQmXKtakbP9xBPaGltmzX5iGeGPP3wLPe65Bc2bpF+a9tjxM3jjvR9Rs+5t9uBDVuHkgS+mTsXq1UtQong+tLi1HipUKIGAAH+cPRuF5Ss2YOWq7QgIzIsnn3zaftL6ennTe4nZQxPffg2FSgfi3p6tEMqJDKkkJCRi3h8rsW7JIfTs/pAJIHnifmJgbcjIQah/T02Uqnx1P1Xas3kfFs5YciWDLCkZFWtXMH3/Dq87bv7WMoDC7y2WZWQfQlZ4YwCIwSIG6thrkJXSiAE53ocZaWlh5TdWB+D+LVy4sHleK7DFiUOc/MMsMwbYePzAsqksVcxeg8OHDzd/x9kLmM/F71cGn7htzDq7WT7+5GN8s3QW6nS/Le3+gjaYwOBZ3xgTeNow7W881eVBk7XmCuzJ+NrH76B8hyYICL66x6czx3cegO/us/hw0nsmm5BVGJhZbAXVrgePudi7LyuPnVn5gd+BN7pdPKZf+eRQ5Ar6t39wVoqOi0PD9ydo3OClPDrjT7IvHrCw1M7Nmv0iIiIiIiLiLsxK4JIaTzJm1YlcVqopVKEMTu/Yi2NJsSgMf8Qi0fTz4ylAfx8giUE/h8BfEmxIRBIOIwYJpvhaMg4mxKKCTxBC8uTC5fgExMQnIDSNwBB78G2OvYgq+QvgXHwsTicnILR4UWw6fhwtypV3ep/cYaEIDAlB7MVohCQn42hMDI4lJqBF7tycmZxi3RB/f5QJCcX682dQJSgAkSFB8PXzRXAgMxbSnsO88uQp+OaLMKW0MrN/ebK0ZatWWPXXH1h74DDql/43EFmsaFFsPX4MsXFxCPlf2bAgXx8E+vlhxelz6JTMUmX/bhNLIp6KjkGRipVN6VTadvQE1p6OQpfuD2Yq2HajWGHoWr3WMoP7KSvfu54qo/uJGSe7WnfAtJ9+weWYGNzWoh4CA//txUUMRGzdvh+ffT0H+SLLm4kJWb3/OenhoYcfxi2NG2PB/Pn4ato82GyJ/6sN6It8+Qrhrnbdzfsoq06ee8t7idlAzz09FO/9dxLeHjMdVWoXQ4065RGWK8SUTt259QDW/7MXtrhg9O7xiD3o54n7iZNxqpSrhm2rd6JUFeeBv3I1ypjFcvHcRXy1eIepfpY6I584gYFtnKzAneMEHLZNYqul9DDbjxN8nHnjjTfsP/PvOANRFiY0WJhJ5k6tW7XGr/P/xPFdB1G4Uimn65hw4P/qah7auAsRfmGm3ZSr3lcMjk797msc37UfxZ30mk2N33Ondx1El0a3288XZ8V7P7t/bng446q0LKV7eTcF/lyMgy/2/EuNDUPZH8JbMR2bpQKYHn4zG96KiIiIiIj34FiDZauYqeeIl3ly0Blen9761r+8zjHjj5et/i7uwEBSl149sXn+UpyKuowoJOIc/E3gz/n5JJvpy8eegHsRB3a1C4cfomxJ2GSLQc/K9XFw9x7svhyFqrnywd9Jr781sVG45AdUCgvHD8f3AxF5cXePHljz11w0LlUagU6CWzwBV6R4CRzcsgVhAQFYduYUwkOCUSm380BCg8iCWHj6FDZcjkHnXKEIDQtL9yTexbg4rIqKRuMenRERkX62YlongBu364gfZvyAYH9/VC9exP5eCsqdB3tPnbVn/c0/dAIXff1RqmRJfL71ALpXLI6aBfOZ86rM9ksKCDLvEWbsrNp3CD9s2YOad7RPUSZWxCqdxyzWX37/GX/N34AmDSqibOmi8PPzxanT57Hkn204fuoyKlaug8cffyLdjNcb3RZmOnGxSv0xE5CZSyVLlsz2J9CzM5ZmfXXcG6Yv2PwFc/H9mqXspAof+CJ3WD60bdHNBGG8oSpWm9Zt8OaHa3Hi4EkUKlnwmsGgtQs3IiIsPwrm9/x9c734t6tjyzvw7dzfTHZd/lIpS2c7OrZ9Py5sOIgBXfu6NCGDpabbtb4Dn8yYhotFIpG7wJW+fqmd2nsYO5esxcWT5+B7KR6rffOZ1lssvfnss89m2fYwW9Pq92dhJmdaWXvMlGcP59SyertEXEWBPxdjLWK52v79+03aO2tAK/AnIiIiIiKuwBM8zKaZO3cuOnfubK5jEIaX2XvFGZYE5e2OJ3XmzJljLxXK0k4M/nEdK9DHck0sG/r444+79RfJnjZfNWmAdX/OwxZbDELgh1zwRR578M+WIugXhySsxSWcRQKikYz88MdZnyTsDvbFLt9E3NK4EVYvXoKt0edQOjQ3cvsFgBXEeCKWQb/lCdEoF54PM04exJ5AYODQIaYf0JidO/HtpvW4v2YdkxGXWpGiRXBo3z4sOH4U6xNi0b5gBHzTKE2WOyQEUTZg8cVo1InIixLplE5LTErCF7v24lhYbrz28MPXHfjo26+fKek2dfZMVNp/CE3KlkKVIgVRtXoNrF29Cj9u2Y3DcUk4mmRDu0b10LpKBXyxdBW+2LUPEXuPomxoICOxKFmuPBbtPoAVB4/jfEAIbrm7C/r176/giTh93/E7imWEFy1ahCWL5+PvJXtMuoavnz/q1L0Fvfq3Mj2l0izjl8VYGo+LZG0g5M477zTf1SzfGRMTY7LIeF7M6kPmDRo2bIj6ixth/rdLcFvPWxFZzHlCAP/WrJ63Die2nMHTTz5jMsiuF8s8jho16qrr+XecbYhyOn4vPPTgQ4iLj8dvc+fgePEDKFa9PMKL5De3cV+ePXgCUcdjcX7bXvRp3xVdunRx+XZxUsOBwwfx14IliKxdDgXKFr/qb2B4kUgUKl8SJfJE4ukHB+Cuu+5yybZMmDAhU9nK7D/KxdWSbVcWVz22eC8F/kRERERERMRjsSxY3759zckbnmxkX5ZLly6Z1gPUp08fU3ps/Pjx5jJ7A7Vo0cKU7Wrfvj2+/fZbM+v7o48+MrfzBBqDgq+88oo5Cc9AIE8msqePFVx0F57QeufDD3Bfh7uxa9M2xCMZsciF8vAB5/Tz/A/LecbBhigkYB0uYzMuIxpJCIAPjiEBuUsUxchxr2Dh77Px06GDKFK2BI7uPYhTl84iyOaDSz7AjqQYnLYlwSfAD8eiz8C3QAQGDn7O9DviCb2BQ4finfGv4pPVK9G8ZClUKVTYXu6SJx9PxsZgZ5A/5iYnoGiBCPj7+WHvmTMolDs3wv43G5/r7bsUje8PH4YtLBRnE+Lx1dkLiAs7haYFI5ErIOXpjH1RFzF930Gs8fHD8HHjze/mRrInHxswADVq1sS8v/7E55s2wmf9VhPEPB8dj93HL8LP3w8typZAyfz5cDzqIm6tVM5s8+xte7HwzHmUKlkCEafjEBjmj0b33G96DZYq5bz8moiF2Tf33Xef6SHGoBD7cLFUITOXxXPwe9IbMvvS+459euDTeGvSRPw9dSGKVSuMqg0ro0CR/Ob2pMQk7Nt6ANtW7kDciSQ8eP9DNxT0I/ZSe+edd+DJGDx+6smBqFalKv6Y8ye2/LUB+32v/K1OjktELt8gtKjfBP0G3msmGdyMSQQMbA8d/DwiPs2HPxfNw9aNexBWoiCCc4fClmzDxVNnkXziIkrkL4SHn3gMrVq1grdRqU9xFQX+RERERERExGN1797dZFa8+OKLOH78uJndP3v2bPtJ14MHD6aYfd6kSRNMmzYNI0eOxPDhw00AacaMGab0nWO5KAYPH330UZw/f970vOJjspeau7Ec38w5f+LhBx/Ektl/41DyWZREDG5BNGIQhWQk4zjisR9xOIUEU+qTAUGbjw/K16mFyZ99YvoltW3bFgsXLsSCP/7EyTB/nDh61JQzvRQfh2R/f9Orr0CRIujYuRPu69IFlSpVsp9EZEm7Ya+MwffffINfl6/An4f2o6BfAPx8fXA+MRHnggJQpFE9PPvYQ1i1eDHmrt+A8AvnUfjCeYTagATYsOPyJRxITIItIh869e6FRo0b472Jb+Lj7dsx48hx1MmTC/mDgpCQlIRdF6OxLT4B/oUK4z/jxmdJtgBfC0+M8v2wb98+8z6JY3+/kBDTZ2rv3r1YMOcvfL5995W+iT6+yF2wGJ56+UFzH57s5GOwROLN7OcnnoHvHQb8RDwVvxuHPv+CyaifM38O/v5kEXyCAT9/X8THJCIIwahbvR7u6n1Xir+/kj4ez7CcNEtYbt261VRc498uHp/weCZXrlzm+OdmZQ4Tn3vgkwNxT+d7zHHF/CWLcH7/Bfj5+qFqsQq4vdttpqoC3xMiknV8bJySJl6B5Wc4w4Xp7VnViPl6ccZsgwYNsGrVqpuSNu3tWM6ItfkLFiyosjLa3x5H72/tc0+n97j2tyfT+ztnH9NL9v89btiwASNGjMDyxUtQvVJlbFmz1nzuGFhjwI85gMGBwaherw5GvvQSWrdufVW5OZa8PHTokMk+4olCXua/XI/96/LmzZvuNhw9etT0tDp9+rTpFcbXyzFg1apVzePEx8eb8eG8v/7CptWrcfrkKdh8gIJlyqBRo0amFFmJEiXMY8XGxmLBggX4+osvsHPTJiTHxcLHzw9Fy5VHl/vvN313GHC7Wd9HpnTa2bP2cn0si+jpQT59b2s/6b2kz5wrvlc2bdqEI0eOmL8xDHoz2OfYR1ffS551btAKR9yMAGR2PXa2tmvpY0OR6zqPXa4lOi4OTT+ckO1eu9wcnn1EKtkWZ3Gw14Zmc4iIiIiIiLgGM/dmzpxpygUyY41BKQaneMKPJ4E4C589p9ILVjHAV7Zs2eveBpZAZUAuvT6MzJDjwhOBXNI6IcntZX8sLgwiMmjI69x1ApMnLPPnv1KaTkRErg+/w/n3iot4h5uZcSjirRT4E7dgGRgOQDnLRERERERERFx7go0lKh1n+WfHMoLczoyeDGSw0tOz60RERMQLevwlu+6xxXu5N69XRERERERERERERERERLKEAn/iFmvXrjW1uvmviIiIiIiIiIiIiIjXZfy5cBHvpcCfiIiIiIiIiIiIiIiIiAdQQXwREREREREREREREZGbiO39XNTiz2WPKzmDMv5EREREREREREREREREPIAy/kRERERERERERERERG4iW/KVxVWPLd5LGX/iFlWrVsWyZcvMvyIiIiIiIiIiIiIiInLjlPEnbhEcHIwyZcqYf0VEREREREREREREvInNdmVx1WOL91LGn7jFvn378OSTT5p/RURERERERERERERE5MYp8Cduce7cOfz000/mXxERERERERERERERb8z4c9WSWe+//z5Kly5tqvQ1atQIK1euTHf9H374AZUrVzbr16hRA7///nuq12fDiy++iCJFiiAkJARt2rTBrl27Mr9hkmkK/ImIiIiIiIiIiIiIiHip7777DoMGDcJLL72EtWvXolatWmjbti1OnjzpdP1ly5ahR48eeOihh7Bu3Tp07tzZLJs3b7avM2HCBLzzzjuYPHky/vnnH4SFhZnHjI2NvYmvzDsp8CciIiIiIiIiIiIiIuKlGX8TJ07EI488gv79+6Nq1aomWBcaGorPPvvM6fpvv/027rzzTjz//POoUqUKxowZg7p16+K9997732uzYdKkSRg5ciQ6deqEmjVr4osvvsDRo0cxY8aMrNh9kg7/9G4Uz8IPG0VFRbl7UxAdHW3/Nztsj6dLTk7GxYsXTdq1r6/i/drfnkXvb+1zT6f3uPa3J9P7O/OsY2fr2F5ypps9NtNnTftI76WbS5857SO9l/R5y2689Xspux87X4qPc/ljpz7eDAoKMouj+Ph4rFmzBsOGDbNfx/cJS3MuX77c6ePzemYIOmI2nxXU27dvH44fP24ewxIeHm5KiPK+999/fxa8SkmLAn9ehF/uVKJECWQXrVq1cvcmiIiIiIjkyGN7DpwlZ8qOYzMRERERT5Xdjp0DAwNRuHBh3D3tbZc+T65cua463mQpz9GjR6e47vTp00hKSkKhQoVSXM/L27dvd/rYDOo5W5/XW7db16W1jriOAn9epGjRojh06BBy584NHx8ft24LZxrwS4fbkydPHrduizfQ/tb+9mR6f2ufezq9x7W/PZne35nH2co8ccFje8m5bvbYTJ817SO9l24ufea0j/Re0uctu/HW76XseuzMzEtmxDHTztWvP/WxZupsP/FMCvx5EabnFi9eHNkJ/9B40x8bd9P+1v72ZHp/a597Or3Htb89md7fmZOdZitLzhqb6bOmfaT3kj5z2Y2+l7Sf9F7SZ85bj50Z/OOSHRQoUAB+fn44ceJEiut5mZmJzvD69Na3/uV1RYoUSbFO7dq1XfAqxJH3FPQVERERERERERERERGRFKVH69Wrh7lz56boC8nLjRs3drqneL3j+jRnzhz7+mXKlDHBP8d1mHn6zz//pPmYknWU8SciIiIiIiIiIiIiIuKlBg0ahL59+6J+/fpo2LAhJk2ahEuXLqF///7m9j59+qBYsWIYP368ufzMM8+gRYsWePPNN9G+fXt8++23WL16NT766CNzO0uMPvvss3jllVdQoUIFEwgcNWqUKbvauXNnt75Wb6DAn7gFawmzkahqCmt/eyK9v7W/PZ3e49rfnkzvb+1vEU+k7zbtI72X9JnLbvS9pP2k95I+c5K9dO/eHadOncKLL76I48ePm3Kcs2fPRqFChcztBw8eNOXqLU2aNMG0adMwcuRIDB8+3AT3ZsyYgerVq9vXGTp0qAkePvroozh//jyaNWtmHjO7lDj1ZD42dngUERERERERERERERERkRxNPf5EREREREREREREREREPIACfyIiIiIiIiIiIiIiIiIeQIE/EREREREREREREREREQ+gwJ+IiIiIiIiIiIiIiIiIB1DgT7LM+++/j9KlSyM4OBiNGjXCypUr013/hx9+QOXKlc36NWrUwO+//57idpvNhhdffBFFihRBSEgI2rRpg127duk35oL9nZCQgBdeeMFcHxYWhqJFi6JPnz44evSo9reL3t+OBgwYAB8fH0yaNEn724X7e9u2bbj77rsRHh5u3ucNGjTAwYMHtc9dsL+jo6MxcOBAFC9e3Hx/V61aFZMnT9a+vo7395YtW3DfffeZ9dP7nsjs79CbZPX+Hj9+vPn+yJ07NwoWLIjOnTtjx44dLn4V3v3+trz66qtmvWeffdYFWy6Ss2jsdfP3kyePmTTWcc8+8sTxicYVWbuPvHksoGP4m7+PHOm4W8QD2ESywLfffmsLDAy0ffbZZ7YtW7bYHnnkEVvevHltJ06ccLr+0qVLbX5+frYJEybYtm7dahs5cqQtICDAtmnTJvs6r776qi08PNw2Y8YM24YNG2x33323rUyZMraYmBiv/51l9f4+f/68rU2bNrbvvvvOtn37dtvy5cttDRs2tNWrV8/r97Wr3t+Wn376yVarVi1b0aJFbW+99Zb2t4v29+7du20RERG2559/3rZ27Vpz+ZdffknzMb2JK/Y3H6NcuXK2+fPn2/bt22f78MMPzX24z71dZvf3ypUrbUOGDLF98803tsKFCzv9nsjsY3oTV+zvtm3b2j7//HPb5s2bbevXr7e1a9fOVrJkSVt0dLTN27lifzuuW7p0aVvNmjVtzzzzjAtfhUj2p7GXe/aTp46ZNNZxzz7yxPGJxhVZv4+8dSygY3j37CPHdXXcLZLzKfAnWYIDnieffNJ+OSkpyQQyxo8f73T9bt262dq3b5/iukaNGtkee+wx83NycrL5Q/T666/bb+dAKygoyPyR8nZZvb/T+kPPuQEHDhyweTtX7e/Dhw/bihUrZk4elypVSoE/F+7v7t2723r16pXxX7oXccX+rlatmu0///lPinXq1q1rGzFihM3bZXZ/O0rre+JGHtPTuWJ/p3by5Enz93LhwoU2b+eq/X3x4kVbhQoVbHPmzLG1aNFCgT/xehp7ueY7yVvHTBrruGcfeeL4ROOKrN9H3joW0DG8+/aRjrtFPIdKfcoNi4+Px5o1a0wpTouvr6+5vHz5cqf34fWO61Pbtm3t6+/btw/Hjx9PsQ7LXzB1Pa3H9Bau2N/OXLhwwaT/582bF97MVfs7OTkZvXv3xvPPP49q1aq58BXkLK7Y39zXs2bNQsWKFc31LM3H75IZM2bA27nq/d2kSRP8+uuvOHLkiCnbPH/+fOzcuRN33HEHvNn17G93PKanuFn7hn8vKSIiAt7Mlfv7ySefRPv27a/67hHxRhp7uW8/eeKYSWMd9+wjTxyfaFzhmn3kjsd0Nx3Du3cf6bhbxHMo8Cc37PTp00hKSkKhQoVSXM/LDN45w+vTW9/6NzOP6S1csb9Ti42NNf0revTogTx58sCbuWp/v/baa/D398fTTz/toi3PmVyxv0+ePGl6zrFG/Z133om//voL99xzD+69914sXLgQ3sxV7+93333X9PVjj7/AwECz39l/4NZbb4U3u5797Y7H9BQ3Y9/wxB37zTVt2hTVq1eHN3PV/v7222+xdu1a01tRRDT2cuV3kjeOmTTWcc8+8sTxicYVrtlH7nhMd9MxvPv2kY67RTyLv7s3QESyFzat79atm8nS+eCDD9y9OR6JM7PefvttcyKTM4TFtXhinjp16oTnnnvO/Fy7dm0sW7YMkydPRosWLfQryGIM/K1YscJk/ZUqVQqLFi0yMweLFi2qjB3xKHxfb968GUuWLHH3pnikQ4cO4ZlnnsGcOXMQHBzs7s0REbHTmCltGutcm8YnGadxhbiCjuGvpuNuEc+jjD+5YQUKFICfnx9OnDiR4npeLly4sNP78Pr01rf+zcxjegtX7O/UA9gDBw6Yk2w5deZqdt/fixcvNrM8S5YsabL+uHCfDx48GKVLl4Y3c8X+5mNyHzMDzVGVKlVw8OBBeDNX7O+YmBgMHz4cEydORMeOHVGzZk0MHDgQ3bt3xxtvvAFvdj372x2P6SlcvW/4vp45c6YpZcvsVm/niv3Nk8f8e1m3bl3730tmQrzzzjvmZ850FvE2Gnu5bz954phJYx337CNPHJ9oXOGafeSOx3Q3HcO7Zx/puFvE8yjwJzeMZdzq1auHuXPnppjBxsuNGzd2eh9e77g+cdBkrV+mTBnzx8pxnaioKPzzzz9pPqa3cMX+dhzA7tq1C3///Tfy58/vwlfh3fubvf02btyI9evX2xdmQrHf359//glv5or9zcds0KABduzYkWId9pxjNpo3c8X+5ncJF/YYcMSBiTW72Vtdz/52x2N6ClftG2bEM+j3888/Y968eeaYRVyzv2+77TZs2rQpxd/L+vXro2fPnuZnfq+IeBuNvdy3nzxxzKSxjnv2kSeOTzSucM0+csdjupuO4d2zj3TcLeKBbCJZ4Ntvv7UFBQXZpkyZYtu6davt0UcfteXNm9d2/Phxc3vv3r1t//d//2dff+nSpTZ/f3/bG2+8Ydu2bZvtpZdesgUEBNg2bdpkX+fVV181j/HLL7/YNm7caOvUqZOtTJkytpiYGK//nWX1/o6Pj7fdfffdtuLFi9vWr19vO3bsmH2Ji4vT/nbB+zu1UqVK2d566y2v39eu+j756aefzHUfffSRbdeuXbZ3333X5ufnZ1u8eLHX73NX7O8WLVrYqlWrZps/f75t7969ts8//9wWHBxs++9//6v9ncn9ze/gdevWmaVIkSK2IUOGmJ/5Ps7o32Bv5or9/fjjj9vCw8NtCxYsSPH38vLlyzZv54r9nRq/X5555pmb8npEsiuNvdyznzx1zKSxjnv2kSeOTzSuyPp95K1jAR3Du2cfpabjbpGcTYE/yTI8UC1ZsqQtMDDQ1rBhQ9uKFStS/LHo27dvivW///57W8WKFc36PEE8a9asFLcnJyfbRo0aZStUqJD5Y3bbbbfZduzYod+YC/b3vn37bJwH4GzhiXvJ+vd3agr8ufb7hD799FNb+fLlTQCqVq1athkzZuit7aL9zRNg/fr1sxUtWtTs70qVKtnefPNN870umdvfaX0/c72Mfma8XVbv77T+XjLALa55fzvSCQiRzH+3efPYS2Omm7+fPHWso/GJe/aTJ44rNBZwz37yxGN4HXeLSHp8+D93Zx2KiIiIiIiIiIiIiIiIyI1Rjz8RERERERERERERERERD6DAn4iIiIiIiIiIiIiIiIgHUOBPRERERERERERERERExAMo8CciIiIiIiIiIiIiIiLiART4ExEREREREREREREREfEACvyJiIiIiIiIiIiIiIiIeAAF/kREREREREREREREREQ8gAJ/IiIiIiIiIiIiIiIiIh5AgT8REQ/Qr18/+Pj42Jc5c+akuH3//v3w9fW1337LLbcgp7yeihUrIjk52X7b5MmT7bdNmTIl04/NfTF69GizrF+/PkP3sdlsmDZtmtlv+fPnR2hoKEqUKIFWrVph1KhRKdYtXbq0fftSa9mypf02bkdqr7zySorf4+zZs69ah6/ZcR0u/v7+KF68OB566CEcOXIkzdexb98++31at27tdJ27777bvk5G94/j6+ZrdJcZM2aYbShWrBji4+Pt1589exaDBw9G5cqVERISgnz58qFSpUro0qUL/vjjD6f7dsGCBcgpnxHLb7/9Zn/9MTExbt0+ERERkezAk8dJ1hIUFGSOczm+iY2Ndcnz8tjY2RiMP/N5J02alObYh+OEm81Txm8iIiLXS4E/EREP9Omnn151mYOfnGjXrl34/vvvs+zxOGB7+eWXzZLRwBbX7dmzJ/755x8TRGJQ5fDhw2YA/MEHH2TZtn377bfpXk5LUlKSGTB+9tlnaNSoEU6dOuV0vTJlyqBhw4bm50WLFuHkyZMpbo+KisJff/1lfubJg9q1ayOnYHB4xIgR5udnn30WgYGB5ue4uDg0adIEEydOxI4dO8zJkPPnz2Pnzp348ccfMXfuXHiKDh06oGrVqjh69Cjeeecdd2+OiIiISLbjSeMkCye88TiXY5ZOnTrd1OdmUIvP6yzw506eMn4TERG5Xgr8iYh4IGY+cYBjDSquJzMuOxk3bpzbBuSJiYkmaEQNGjTAnj17TPCIgSPu17Qy5zJry5YtZkn9e2TgKi0vvfSS2S/Hjh1D8+bNzXUcQL733ntp3uf++++3vy8Y+HL066+/2p+ve/fuyEk4u3br1q3w8/ND3759U+xDngix9heDfhcuXMCqVavMbN+SJUummEHN/cnFnZmL14uzh/v06WN+fvfdd83vWEREREQ8c5w0f/58M/lt7dq1KFiwoLmOk/h4fVbjsbF1nMxj5oxgkI3rO8uUcyVPG7+JiIhcDwX+REQ8DAMZHGx89dVX9oAIZzc6BjhSW7NmDe69915ERkaaTClmhg0ZMgTR0dH2dRgw4azJKlWqIG/evAgICEDhwoVNucTUAx7Hso8c/NSsWdOUV2EG2bx58zL1ehjI2bRpkwlKpYcDKJYBrV+/PsLCwszzsbSLY7YgB6ks72Lp379/uqVbiLMvL168aH6uU6cOypYta8rpVKhQwQSYsiob0XF2qBW8YYDKsRRlWvh7eO655+yXV69enea63bp1s5ex+eGHH1Lc5niZAcLM/M6dSau8j7XPU5804PNzAJwnTx4EBwejVq1aZkZuRoK+n3/+ufmX97dOfNDevXvtP7dt2xbh4eHm8fk++c9//oOnn376mqU+N2zYYB6XZUL5e//iiy+cltpkmSPrusWLF+O+++5Drly5TBmf4cOHXxWIy8jnznr+Zs2amecvX768mRmcFv5urBMIf//99zX3m4iIiIi38LRxEvGxOEaxJvelHgusXLnSlPIvUKCAffufeeYZe/CTeIw6ZswYs/0cR+XOndtU/+jdu7epJOGs1CfHTvx54cKF5vYDBw5cdYyfeizw+uuv29fZuHGj/fkvX75sjpl5vePkw4weK3v6+E1EROS62EREJMfr27cvIyNmeemll8y/NWvWNLd16tTJXB49erR9nUaNGtnv+9dff9kCAwPttzku9erVs8XExJj19u3b53QdLhEREbYTJ07YH7NUqVLm+jx58th8fHxSrJsrVy7bmTNnMvx6evToYf5t0KCBue2DDz6w3/b555/b79OvX780t2/ChAlXPW7qha/PmYSEBFtAQIB9vZYtW9peeeUV24IFC2zx8fFXrW+9dmd/Ylu0aJHm81WoUMFcX6RIEdvBgwft+6179+4p1uNrdvxdW3788Uf79e3atUt3/zZv3tys5+fnZ/+9XbhwwRYUFGSur1Wr1nX/zvkaU79e3ubIegz+PiyO78/UyxNPPJHu60lOTjbbw3WHDRuW4rapU6faHyc8PNzWq1cv20cffWTbuXPnVY/juG/nz59vruN7NX/+/FdtU9GiRa/6PVufPeu5Ut/nww8/zPTn7uzZs06fv3Dhwmm+zwoVKmSuHzJkSLr7TURERMTTefI4yTpepaeeeuqqsc8ff/yRYhzjuFSsWNF27tw5s96rr76a5vavWrXKrMPnchyDpfearWP81GOBw4cP23x9fc11I0aMsG/7999/b7/vzJkzM7XvvWX8JiIiklnK+BMR8TD33HOPaWDOWZQzZ87ErFmzTMP6Bx980On6TzzxhOkLUbduXdNPj2VQvvzyS/ssS6sPRr58+UxpyEOHDpl1ONPy448/Nrdxxiibp6fGnnEvvviimQU7cuRIcx3vl5FZkBZmZDFDi6UZrf5zqS1ZssRepod93jjT8vTp02ZfELfhzJkzZh3H0jfMErNK1qTVdJ6N1x977DH7Zc525WvhDNZixYrho48+SnPbUzdxt2bEpsbyPNz31LFjR9N4nr8P+u2333Dp0qV099Hx48fx1ltv2S/Xq1cv3fWdlfvk81hlaazbr+d3fj04Y5izjK0sTPYe5HvnySefNNf997//xebNm9O8P2cYW7OWq1WrluI2vgeKFi1qfub7gjO8H330UVSsWNH0/rtW5iL3K9879NRTT5n3MjMTWZ4nPZxRzO3i75bZi6kzKjP6uXN8/kGDBpnn/+mnn3DixIk0n7t69er2xxERERERzxwnWdi33DH7jGMBjm94LJ2QkGCORZndyOdiL2xi2Utm4FljKeKx8blz50y2HCtOvPrqq4iIiHD6nBw78TlatGhhLpcqVco+rkqrfCrHTlaZTcfjYutnZvaxQkdm9r23jN9EREQyS4E/EREPwzImvXr1spccYY+DO+64wwxGUuOAb/fu3fbBC4MVHBiyrIvFKjnDEokM0LBUDAfMLMfyyCOP2Nez+qg5KlSokBnQ8r4PPPCA/fqDBw9m+PWwXA4HfjR27Fin6/z+++/2n7kOn4/lbH7++WdzHQeKy5Ytw/Vis3oOjFleJnUZGQ4q0xoQZpTjQL1z587m306dOtlL33DwmFbTeg5IixQpYh+ws2yMFTBLC8sOsYSq40A7dZnP6/2dXw8GdK0ymAzGslQng73vv/++fZ30epUwUGjhdjpiqaJ//vnHvP9YusjR8uXLTfkgnhBJi/W+4Ukh673F/de0adN0XxN/NywbxfJCLOHk+L7PzOdu6dKl9udnaVI+P09asfRnWvjep/SCgyIiIiLextPGSWxhYJX65LjEuo4Lt98qed+hQwd7yXsez7IUKTEYaAXtiP2yebzJcQGPzYcOHWrKZGYlqyQmt4/BRY51GIClHj16mKBdZva9t4zfREREMkuBPxERD/Twww+bfzlj0/FyatYAMT1WJhVnJA4ePBjr1q1zOoMxJibmquvKlStnAhZkZT1Reg3PnWGmE3tfLFq0yD5Aut7XcT0YJGM/CQ6emSH2zjvvmIwxyy+//OL0ftasV2uxZsSmXsfqM8HeFTwJwOw2x8d3HFimtX0cPHIgvWLFCvMY6WFgzep1yH3KgfWff/5pLjdq1Mie/Xg9v/NrSd3n7mb8/thj7+uvvzbPw5ME7KdhvR95YmHbtm1p3tfqa8ITJQwiOj5meniCwmI9l/W+z8zrdXx+x8AlZyunJTk5+ZqPLyIiIuKNPG2cZI0heOzJntLMZGRgidVPLI6BTY6prIly1mscNWqUmVTGjEC+FmZAMnuNff7S6oN+vTjpzjqmZYCRQT8GyhyDglkxNvC08ZuIiEhmKfAnIuKBWOrvlltusQd5OPvUGZZTsXDmY+qBDhdrNqWVEcaBKTOoOEN206ZN6W6HNZuUOAC9XtxOa9ass0GU4+tgFlfq18BACBu5X8928P6OA/iqVauako/ffPNNlgSlONBjSUhiORuWealRo4Y9686ajcsylam99NJLZvv4u2CAaOrUqfYZu9fiWO7zoYceMlmRjtdf7+889axqsh6b9u3bl+7vj/vV2e+PrzUtfI9brLKYFpYqsoSEhJiA58SJE1PMwk7v9+dYJtTxfcBSTtf73s/M5y6t5z9y5Eiaz23tA51AEBEREfHccRIrYnA7GCzkZDZm8zGw51gBgg4fPpwiCGkdK1rr8Jhx8eLFZj2WGmWmHCe8WY+ZnsxuO4N+VjsG7jcrgFalShV7ucvM7HtvGr+JiIhkhgJ/IiIeatiwYabcyOjRo1MMLB1xViJnmxIHHSyNyRmXHAhxtigHwswIc5x9ysEdB4KcEcrHvlmef/55M6PSWcbYXXfdlSI7kBlcHIRxhue7776LNm3a2G9nDw4Ly9k4ezxHfN0sEcNSPCw1wyAWX/t3331nX4ezYa/XtWaDWttglS3Nytm21vvC+h1z1nG3bt1SPO+N/M6t2cUsOcl9x33N8kGpscSSVXqUg+HVq1eb3x9PPnz22WemfFF6OFi2+o+k7gXITD/2K2GvEZZOYllPnsSwyvvwtVWqVCnNx7ZKajL4yNI87Mcyffr0Gyodm5nPnVVSlM/P9yCfn+s7y3y1WCea1CtERERExPPHSWltv1XmkmUn//77b3McyV53Vpn7O++80/zLnnfsg83jb06S43jAGjNdK/vOWo8Zhuxbl9lynzNmzDA/O5bxzMy+96bxm4iISGYo8Cci4qE4IOJA6vHHH093vQ8++MAMeDkgskqvsPwLm5RzkMgZicTL1ixRzprkDFE2kr9ZWNqwX79+Tm9r3ry5/TZm/HH7mG3GAePTTz+NPXv22NctX768fYDK2azsI3Gtso0c8I4ZM8YEUpg1xvtPmDDBPiO1f//+1/WaGMyxZgizFwhnpjrOZHXcvxkZYGYGXwMDbqn3o5VhlhW/865du9p/btCggenb9+OPP161HkuLssSQdQKA6/L3x8AhsxHZ/yM9PMnSunVr++8/NV7H3xEDhAweM9C3ceNGcxv7vLDMTlqeeeYZezkkvl9YcpOv60az6TL6uXv22WftQU1mKvL5ub51XWos22qdoHEMeIuIiIiIZ46T0jo+fu+998xYh9t/++23m+NIHk9aYyJOrCROaGPgjf38mLXIY2ar16AVHEwLj9uJ4xgeU/N5P/nkk3Tvc9ttt9nHHMx8432s3ouZ3ffeNH4TERHJDAX+RES8HAeBDIxwQMVBEAdYDLIxkPL222+b/g7WzFgGIVgSh4OcLl26pCiXcjO88MILZvDqDDPDJk+ebAafLHHDhb0uOIjlwNHC67/88ktUq1bNBIGuhQEoPjZLt3D2KQfM3AbuIw5QOVC+3iAQZ6oeO3bM/MySN1ZpHkutWrXMyQOaO3duil4dWcGxHI2zyzf6O2/bti0mTZpkZtxyXzds2DDN2bnM9GOpHwYfOVOaJx148uG+++4zWXvXwl4kxEw4Zhha2rVrh1deeQUtW7Y0gUQ+Lgf/LMczbty4a56YYICN+56Zd3wvcJs+/fRT1K9f3367Kz93qZ+f+5Lv5w4dOjh9XGYjEoPZfA4RERER8fxxkjM8DuaxN48bGfjiGKZkyZIYOHCgeV3WZEgeb/9/e/dymzAQRmGUpExXQAVeuANXSQmUkOhDMsoKUIICDOfsYMHDK4/vP3cKQ7d75dY7NW4UHO73+4vfUYVm662f1aLX1DIyTdP59Xaf/ptr/27rNwC41cfXtTEZAIAn1/RtYV71reu67uZ5vttnt2jvLJgmjdOZIj1IqcKnByVb2PZo3dIVaFd1e+9rAAAAAMBrEPwBAEOosqnJ26qDDofDTTs6b9EZIFVoNsVd3dDxeDy935R0k8iXzgj8T9UeNa3d/+/3trMRAAAAgPci+AMAuKAa0nb1ddZJu/y2Gs1lWU5noAAAAADAsxD8AQAAAAAAwAA+H/0DAAAAAAAAgL8T/AEAAAAAAMAABH8AAAAAAAAwAMEfAAAAAAAADEDwBwAAAAAAAAMQ/AEAAAAAAMAABH8AAAAAAAAwAMEfAAAAAAAA7F7fN9S36Q1wDCL8AAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1800x1200 with 5 Axes>"
       ]
@@ -246175,7 +245684,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 26,
    "id": "0f139273",
    "metadata": {},
    "outputs": [
@@ -246196,8 +245705,8 @@
       "Key Findings:\n",
       "  • Most helpful feature: release_pos_x\n",
       "  • Most confusing feature: pitch_type_FF\n",
-      "  • Net positive features: 32\n",
-      "  • Net negative features: 0\n",
+      "  • Net positive features: 31\n",
+      "  • Net negative features: 1\n",
       "\n",
       "✓ All directional SHAP results saved to outputs/ directory\n"
      ]
@@ -246302,7 +245811,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 27,
    "id": "06a766f7",
    "metadata": {},
    "outputs": [],
@@ -246443,7 +245952,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 28,
    "id": "5b01af14",
    "metadata": {},
    "outputs": [
@@ -246455,18 +245964,16 @@
       "Running inference on device: cpu\n",
       "  Processed 6,400 pitches (100 batches)\n",
       "  Processed 12,800 pitches (200 batches)\n",
-      "  Processed 6,400 pitches (100 batches)\n",
       "  Processed 12,800 pitches (200 batches)\n",
       "  Processed 19,200 pitches (300 batches)\n",
       "  Processed 19,200 pitches (300 batches)\n",
       "  Processed 25,600 pitches (400 batches)\n",
-      "  Processed 25,600 pitches (400 batches)\n",
       "  Processed 32,000 pitches (500 batches)\n",
-      "  Processed 38,400 pitches (600 batches)\n",
+      "  Processed 25,600 pitches (400 batches)\n",
       "  Processed 32,000 pitches (500 batches)\n",
       "  Processed 38,400 pitches (600 batches)\n",
       "  Processed 44,800 pitches (700 batches)\n",
-      "  Processed 51,200 pitches (800 batches)\n",
+      "  Processed 38,400 pitches (600 batches)\n",
       "  Processed 44,800 pitches (700 batches)\n",
       "  Processed 51,200 pitches (800 batches)\n",
       "  Processed 57,600 pitches (900 batches)\n",
@@ -246479,8 +245986,8 @@
       "  Shape: (110, 110)\n",
       "  Diagonal sum: 0.000000 (should be ~0)\n",
       "  Row sums min/max: 1.000000 / 1.000000\n",
-      "  Non-zero entries: 11,988 / 12,100\n",
-      "  Mean uniqueness (self-accuracy): 0.8520\n",
+      "  Non-zero entries: 11,985 / 12,100\n",
+      "  Mean uniqueness (self-accuracy): 0.8536\n",
       "\n",
       "Computing symmetric similarity matrix Sim = 0.5 * (S + S.T)...\n",
       "\n",
@@ -246496,6 +246003,7 @@
       "  - similarity_matrix_directional.npy: (110, 110)\n",
       "  - similarity_matrix_symmetric.npy: (110, 110)\n",
       "  - pitcher_uniqueness.npy: (110,)\n",
+      "  Processed 51,200 pitches (800 batches)\n",
       "  Processed 57,600 pitches (900 batches)\n",
       "✓ Processed 57,671 total pitches\n",
       "Computing mean probabilities per pitch...\n",
@@ -246506,8 +246014,8 @@
       "  Shape: (110, 110)\n",
       "  Diagonal sum: 0.000000 (should be ~0)\n",
       "  Row sums min/max: 1.000000 / 1.000000\n",
-      "  Non-zero entries: 11,988 / 12,100\n",
-      "  Mean uniqueness (self-accuracy): 0.8520\n",
+      "  Non-zero entries: 11,985 / 12,100\n",
+      "  Mean uniqueness (self-accuracy): 0.8536\n",
       "\n",
       "Computing symmetric similarity matrix Sim = 0.5 * (S + S.T)...\n",
       "\n",
@@ -246557,7 +246065,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 29,
    "id": "ef7aa942",
    "metadata": {},
    "outputs": [
@@ -246570,26 +246078,26 @@
       "================================================================================\n",
       "Format: True Pitcher → Confused With (confusion probability)\n",
       "\n",
-      " 1. Verlander, Justin         → Mikolas, Miles            (0.8412)\n",
-      " 2. Sale, Chris               → Heaney, Andrew            (0.7332)\n",
-      " 3. Peralta, Freddy           → Gallen, Zac               (0.6886)\n",
-      " 4. Liberatore, Matthew       → Cameron, Noah             (0.6525)\n",
-      " 5. Heaney, Andrew            → Sale, Chris               (0.6057)\n",
-      " 6. deGrom, Jacob             → Leiter, Jack              (0.5353)\n",
-      " 7. Holmes, Clay              → Elder, Bryce              (0.5333)\n",
-      " 8. Falter, Bailey            → Rodriguez, Eduardo        (0.5153)\n",
-      " 9. Cameron, Noah             → Parker, Mitchell          (0.4911)\n",
-      "10. May, Dustin               → Webb, Logan               (0.4286)\n",
-      "11. Ray, Robbie               → Abbott, Andrew            (0.4163)\n",
-      "12. Flaherty, Jack            → Warren, Will              (0.4132)\n",
-      "13. Hendricks, Kyle           → Irvin, Jake               (0.4045)\n",
-      "14. Gore, MacKenzie           → Kikuchi, Yusei            (0.3963)\n",
-      "15. Crochet, Garrett          → Luzardo, Jesús            (0.3958)\n",
-      "16. Castillo, Luis            → May, Dustin               (0.3933)\n",
-      "17. Valdez, Framber           → Rodriguez, Eduardo        (0.3887)\n",
-      "18. Imanaga, Shota            → Allen, Logan              (0.3874)\n",
-      "19. Allen, Logan              → Bubic, Kris               (0.3849)\n",
-      "20. Quintana, Jose            → Bubic, Kris               (0.3713)\n"
+      " 1. Peralta, Freddy           → Gallen, Zac               (0.9690)\n",
+      " 2. Verlander, Justin         → Mikolas, Miles            (0.9179)\n",
+      " 3. Liberatore, Matthew       → Cameron, Noah             (0.7576)\n",
+      " 4. Anderson, Tyler           → Cameron, Noah             (0.6659)\n",
+      " 5. Holmes, Clay              → Elder, Bryce              (0.6126)\n",
+      " 6. Parker, Mitchell          → Cameron, Noah             (0.6056)\n",
+      " 7. Heaney, Andrew            → Sale, Chris               (0.5659)\n",
+      " 8. Cameron, Noah             → Parker, Mitchell          (0.5430)\n",
+      " 9. deGrom, Jacob             → Leiter, Jack              (0.5395)\n",
+      "10. Falter, Bailey            → Rodriguez, Eduardo        (0.5359)\n",
+      "11. Ray, Robbie               → Abbott, Andrew            (0.5342)\n",
+      "12. Lord, Brad                → Morton, Charlie           (0.5038)\n",
+      "13. May, Dustin               → Webb, Logan               (0.4927)\n",
+      "14. Allen, Logan              → Bubic, Kris               (0.4886)\n",
+      "15. Quintana, Jose            → Bubic, Kris               (0.4602)\n",
+      "16. Luzardo, Jesús            → Crochet, Garrett          (0.4571)\n",
+      "17. Castillo, Luis            → May, Dustin               (0.4561)\n",
+      "18. Sale, Chris               → Heaney, Andrew            (0.4528)\n",
+      "19. Pivetta, Nick             → Wacha, Michael            (0.4495)\n",
+      "20. Lodolo, Nick              → Lord, Brad                (0.4306)\n"
      ]
     }
    ],
@@ -246616,7 +246124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 30,
    "id": "f22be4b8",
    "metadata": {},
    "outputs": [
@@ -246630,26 +246138,26 @@
       "================================================================================\n",
       "Format: Pitcher A ↔ Pitcher B (similarity score)\n",
       "\n",
-      " 1. Heaney, Andrew            ↔ Sale, Chris               (0.6694)\n",
-      " 2. Mikolas, Miles            ↔ Verlander, Justin         (0.4520)\n",
-      " 3. Cameron, Noah             ↔ Parker, Mitchell          (0.4249)\n",
-      " 4. Leiter, Jack              ↔ deGrom, Jacob             (0.3865)\n",
-      " 5. May, Dustin               ↔ Webb, Logan               (0.3782)\n",
-      " 6. Cameron, Noah             ↔ Liberatore, Matthew       (0.3780)\n",
-      " 7. Elder, Bryce              ↔ Holmes, Clay              (0.3736)\n",
-      " 8. Falter, Bailey            ↔ Rodriguez, Eduardo        (0.3714)\n",
-      " 9. Crochet, Garrett          ↔ Luzardo, Jesús            (0.3605)\n",
-      "10. Gallen, Zac               ↔ Peralta, Freddy           (0.3543)\n",
-      "11. Abbott, Andrew            ↔ Ray, Robbie               (0.3473)\n",
-      "12. Castillo, Luis            ↔ May, Dustin               (0.3339)\n",
-      "13. Gore, MacKenzie           ↔ Kikuchi, Yusei            (0.3207)\n",
-      "14. Rodriguez, Eduardo        ↔ Valdez, Framber           (0.3174)\n",
-      "15. Buehler, Walker           ↔ Patrick, Chad             (0.2957)\n",
-      "16. Gilbert, Logan            ↔ Pepiot, Ryan              (0.2925)\n",
-      "17. Allen, Logan              ↔ Imanaga, Shota            (0.2908)\n",
-      "18. Alcantara, Sandy          ↔ Cabrera, Edward           (0.2861)\n",
-      "19. Cease, Dylan              ↔ Nelson, Ryne              (0.2808)\n",
-      "20. Bubic, Kris               ↔ Quintana, Jose            (0.2780)\n"
+      " 1. Cameron, Noah             ↔ Parker, Mitchell          (0.5743)\n",
+      " 2. Mikolas, Miles            ↔ Verlander, Justin         (0.5193)\n",
+      " 3. Heaney, Andrew            ↔ Sale, Chris               (0.5093)\n",
+      " 4. Gallen, Zac               ↔ Peralta, Freddy           (0.5065)\n",
+      " 5. Cameron, Noah             ↔ Liberatore, Matthew       (0.4543)\n",
+      " 6. Elder, Bryce              ↔ Holmes, Clay              (0.4405)\n",
+      " 7. Abbott, Andrew            ↔ Ray, Robbie               (0.4198)\n",
+      " 8. May, Dustin               ↔ Webb, Logan               (0.4099)\n",
+      " 9. Crochet, Garrett          ↔ Luzardo, Jesús            (0.4044)\n",
+      "10. Leiter, Jack              ↔ deGrom, Jacob             (0.3751)\n",
+      "11. Anderson, Tyler           ↔ Cameron, Noah             (0.3727)\n",
+      "12. Gilbert, Logan            ↔ Pepiot, Ryan              (0.3573)\n",
+      "13. Falter, Bailey            ↔ Rodriguez, Eduardo        (0.3529)\n",
+      "14. Castillo, Luis            ↔ May, Dustin               (0.3509)\n",
+      "15. Lord, Brad                ↔ Morton, Charlie           (0.3196)\n",
+      "16. Allen, Logan              ↔ Bubic, Kris               (0.3117)\n",
+      "17. Bubic, Kris               ↔ Quintana, Jose            (0.2982)\n",
+      "18. Pivetta, Nick             ↔ Wacha, Michael            (0.2867)\n",
+      "19. Gore, MacKenzie           ↔ Kikuchi, Yusei            (0.2833)\n",
+      "20. Abbott, Andrew            ↔ Springs, Jeffrey          (0.2750)\n"
      ]
     }
    ],
@@ -246685,7 +246193,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 31,
    "id": "11504397",
    "metadata": {},
    "outputs": [
@@ -246694,34 +246202,34 @@
      "output_type": "stream",
      "text": [
       "Pitcher Uniqueness Statistics:\n",
-      "  Mean: 0.8520\n",
-      "  Std:  0.1127\n",
-      "  Min:  0.4860\n",
+      "  Mean: 0.8536\n",
+      "  Std:  0.1120\n",
+      "  Min:  0.4023\n",
       "  Max:  1.0000\n",
       "\n",
       "Most Unique Pitchers (rarely confused):\n",
-      " 1. Sears, JP                 1.0000\n",
-      " 2. Lodolo, Nick              1.0000\n",
-      " 3. Peralta, Freddy           0.9968\n",
-      " 4. Hendricks, Kyle           0.9942\n",
-      " 5. Sale, Chris               0.9901\n",
-      " 6. Littell, Zack             0.9872\n",
-      " 7. Ryan, Joe                 0.9860\n",
-      " 8. Falter, Bailey            0.9831\n",
-      " 9. Verlander, Justin         0.9814\n",
-      "10. Rodriguez, Eduardo        0.9794\n",
+      " 1. Lodolo, Nick              1.0000\n",
+      " 2. Sears, JP                 1.0000\n",
+      " 3. Hendricks, Kyle           0.9981\n",
+      " 4. Peralta, Freddy           0.9951\n",
+      " 5. Verlander, Justin         0.9926\n",
+      " 6. Sale, Chris               0.9828\n",
+      " 7. Gallen, Zac               0.9751\n",
+      " 8. Littell, Zack             0.9744\n",
+      " 9. Falter, Bailey            0.9735\n",
+      "10. Williams, Gavin           0.9715\n",
       "\n",
       "Least Unique Pitchers (often confused):\n",
-      " 1. Vásquez, Randy            0.4860\n",
-      " 2. Lorenzen, Michael         0.5499\n",
-      " 3. Martin, Davis             0.5772\n",
-      " 4. Cecconi, Slade            0.5811\n",
-      " 5. Kochanowicz, Jack         0.5840\n",
-      " 6. Smith, Shane              0.5895\n",
-      " 7. Pfaadt, Brandon           0.6023\n",
-      " 8. Senzatela, Antonio        0.6375\n",
-      " 9. Mize, Casey               0.6813\n",
-      "10. Severino, Luis            0.6832\n"
+      " 1. Vásquez, Randy            0.4023\n",
+      " 2. Lorenzen, Michael         0.5275\n",
+      " 3. Smith, Shane              0.5642\n",
+      " 4. Severino, Luis            0.6081\n",
+      " 5. Cecconi, Slade            0.6223\n",
+      " 6. Senzatela, Antonio        0.6273\n",
+      " 7. Pfaadt, Brandon           0.6661\n",
+      " 8. Nelson, Ryne              0.6738\n",
+      " 9. Keller, Mitch             0.6882\n",
+      "10. Lugo, Seth                0.6996\n"
      ]
     }
    ],
@@ -246747,7 +246255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 32,
    "id": "b54be6e4",
    "metadata": {},
    "outputs": [
@@ -246767,9 +246275,9 @@
       "\n",
       "Off-diagonal confusion mass statistics:\n",
       "  Min:      0.02 (least confusable)\n",
-      "  Max:    278.77 (most confusable)\n",
+      "  Max:    272.46 (most confusable)\n",
       "  Mean:   102.23\n",
-      "  Total: 11,245.34\n",
+      "  Total: 11,245.47\n",
       "\n",
       "================================================================================\n",
       "STEP 3: Computing weighted symmetric similarity\n",
@@ -246791,9 +246299,9 @@
       "\n",
       "Off-diagonal confusion mass statistics:\n",
       "  Min:      0.02 (least confusable)\n",
-      "  Max:    278.77 (most confusable)\n",
+      "  Max:    272.46 (most confusable)\n",
       "  Mean:   102.23\n",
-      "  Total: 11,245.34\n",
+      "  Total: 11,245.47\n",
       "\n",
       "================================================================================\n",
       "STEP 3: Computing weighted symmetric similarity\n",
@@ -246817,12 +246325,12 @@
       "  Shape: (110, 110)\n",
       "  Diagonal sum: 0.000000 (should be 0)\n",
       "✓ C: (110, 110), diagonal=0.00, symmetric=True\n",
-      "✓ Sim: range=[0.0000, 0.6368], mean_uniqueness=0.8520\n",
+      "✓ Sim: range=[0.0000, 0.5907], mean_uniqueness=0.8536\n",
       "\n",
       "================================================================================\n",
       "SAVING OUTPUTS\n",
       "================================================================================\n",
-      "  Mean: 0.8520\n",
+      "  Mean: 0.8536\n",
       "\n",
       "✓ Saved 5 output files:\n",
       "  • confusion_mass_matrix.npy           (C: directional confusion)\n",
@@ -246839,12 +246347,12 @@
       "  Shape: (110, 110)\n",
       "  Diagonal sum: 0.000000 (should be 0)\n",
       "✓ C: (110, 110), diagonal=0.00, symmetric=True\n",
-      "✓ Sim: range=[0.0000, 0.6368], mean_uniqueness=0.8520\n",
+      "✓ Sim: range=[0.0000, 0.5907], mean_uniqueness=0.8536\n",
       "\n",
       "================================================================================\n",
       "SAVING OUTPUTS\n",
       "================================================================================\n",
-      "  Mean: 0.8520\n",
+      "  Mean: 0.8536\n",
       "\n",
       "✓ Saved 5 output files:\n",
       "  • confusion_mass_matrix.npy           (C: directional confusion)\n",
@@ -247043,7 +246551,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 33,
    "id": "5e2177b3",
    "metadata": {},
    "outputs": [
@@ -247054,190 +246562,190 @@
       "\n",
       "TOP 20 DIRECTIONAL CONFUSIONS\n",
       "================================================================================\n",
-      " 1. May, Dustin               → Webb, Logan              \n",
-      "     mass=  62.12, m[A]= 144.92 | uniq: 0.767 → 0.921\n",
+      " 1. Parker, Mitchell          → Cameron, Noah            \n",
+      "     mass=  82.13, m[A]= 135.61 | uniq: 0.806 → 0.938\n",
       "\n",
-      " 2. Martin, Davis             → Smith, Shane             \n",
-      "     mass=  55.90, m[A]= 247.81 | uniq: 0.577 → 0.589\n",
+      " 2. May, Dustin               → Webb, Logan              \n",
+      "     mass=  80.00, m[A]= 162.36 | uniq: 0.723 → 0.944\n",
       "\n",
-      " 3. deGrom, Jacob             → Leiter, Jack             \n",
-      "     mass=  53.55, m[A]= 100.04 | uniq: 0.894 → 0.724\n",
+      " 3. Castillo, Luis            → May, Dustin              \n",
+      "     mass=  56.73, m[A]= 124.38 | uniq: 0.852 → 0.723\n",
       "\n",
-      " 4. Nelson, Ryne              → Cease, Dylan             \n",
-      "     mass=  50.03, m[A]= 183.39 | uniq: 0.722 → 0.796\n",
+      " 4. deGrom, Jacob             → Leiter, Jack             \n",
+      "     mass=  55.88, m[A]= 103.59 | uniq: 0.894 → 0.729\n",
       "\n",
-      " 5. Castillo, Luis            → May, Dustin              \n",
-      "     mass=  49.48, m[A]= 125.81 | uniq: 0.857 → 0.767\n",
+      " 5. Smith, Shane              → Martin, Davis            \n",
+      "     mass=  53.20, m[A]= 249.66 | uniq: 0.564 → 0.759\n",
       "\n",
-      " 6. Sugano, Tomoyuki          → Kremer, Dean             \n",
-      "     mass=  49.34, m[A]= 174.03 | uniq: 0.735 → 0.796\n",
+      " 6. Nelson, Ryne              → Cease, Dylan             \n",
+      "     mass=  51.41, m[A]= 207.96 | uniq: 0.674 → 0.815\n",
       "\n",
-      " 7. Irvin, Jake               → Warren, Will             \n",
-      "     mass=  48.33, m[A]= 231.95 | uniq: 0.707 → 0.811\n",
+      " 7. Severino, Luis            → Brown, Hunter            \n",
+      "     mass=  49.10, m[A]= 263.46 | uniq: 0.608 → 0.769\n",
       "\n",
-      " 8. Cease, Dylan              → Nelson, Ryne             \n",
-      "     mass=  47.69, m[A]= 165.09 | uniq: 0.796 → 0.722\n",
+      " 8. Giolito, Lucas            → Wacha, Michael           \n",
+      "     mass=  49.03, m[A]= 177.86 | uniq: 0.730 → 0.811\n",
       "\n",
-      " 9. Leiter, Jack              → deGrom, Jacob            \n",
-      "     mass=  46.37, m[A]= 195.00 | uniq: 0.724 → 0.894\n",
+      " 9. Lord, Brad                → Morton, Charlie          \n",
+      "     mass=  47.14, m[A]=  93.57 | uniq: 0.845 → 0.861\n",
       "\n",
-      "10. Severino, Luis            → Brown, Hunter            \n",
-      "     mass=  44.99, m[A]= 225.92 | uniq: 0.683 → 0.777\n",
+      "10. Cease, Dylan              → Nelson, Ryne             \n",
+      "     mass=  46.36, m[A]= 169.38 | uniq: 0.815 → 0.674\n",
       "\n",
-      "11. Wacha, Michael            → Giolito, Lucas           \n",
-      "     mass=  44.83, m[A]= 179.65 | uniq: 0.774 → 0.726\n",
+      "11. Vásquez, Randy            → Martinez, Nick           \n",
+      "     mass=  45.39, m[A]= 272.46 | uniq: 0.402 → 0.846\n",
       "\n",
-      "12. Martinez, Nick            → Vásquez, Randy           \n",
-      "     mass=  42.66, m[A]= 168.37 | uniq: 0.782 → 0.486\n",
+      "12. Gilbert, Logan            → Pepiot, Ryan             \n",
+      "     mass=  44.65, m[A]= 104.52 | uniq: 0.810 → 0.928\n",
       "\n",
-      "13. Cecconi, Slade            → Lorenzen, Michael        \n",
-      "     mass=  41.58, m[A]= 222.19 | uniq: 0.581 → 0.550\n",
+      "13. Quintana, Jose            → Bubic, Kris              \n",
+      "     mass=  43.38, m[A]=  94.26 | uniq: 0.844 → 0.896\n",
       "\n",
-      "14. May, Dustin               → Castillo, Luis           \n",
-      "     mass=  39.79, m[A]= 144.92 | uniq: 0.767 → 0.857\n",
+      "14. Irvin, Jake               → Warren, Will             \n",
+      "     mass=  40.98, m[A]= 225.52 | uniq: 0.728 → 0.828\n",
       "\n",
-      "15. Cameron, Noah             → Parker, Mitchell         \n",
-      "     mass=  38.12, m[A]=  77.63 | uniq: 0.850 → 0.878\n",
+      "15. Martin, Davis             → Smith, Shane             \n",
+      "     mass=  40.42, m[A]= 181.59 | uniq: 0.759 → 0.564\n",
       "\n",
-      "16. Vásquez, Randy            → Martinez, Nick           \n",
-      "     mass=  37.01, m[A]= 247.10 | uniq: 0.486 → 0.782\n",
+      "16. May, Dustin               → Castillo, Luis           \n",
+      "     mass=  39.89, m[A]= 162.36 | uniq: 0.723 → 0.852\n",
       "\n",
       "17. Brown, Hunter             → Severino, Luis           \n",
-      "     mass=  36.90, m[A]= 175.94 | uniq: 0.777 → 0.683\n",
+      "     mass=  39.89, m[A]= 185.13 | uniq: 0.769 → 0.608\n",
       "\n",
-      "18. Gilbert, Logan            → Pepiot, Ryan             \n",
-      "     mass=  36.89, m[A]= 110.25 | uniq: 0.780 → 0.903\n",
+      "18. Anderson, Tyler           → Cameron, Noah            \n",
+      "     mass=  39.42, m[A]=  59.21 | uniq: 0.910 → 0.938\n",
       "\n",
-      "19. Cecconi, Slade            → Keller, Mitch            \n",
-      "     mass=  35.90, m[A]= 222.19 | uniq: 0.581 → 0.744\n",
+      "19. Leiter, Jack              → deGrom, Jacob            \n",
+      "     mass=  38.75, m[A]= 183.94 | uniq: 0.729 → 0.894\n",
       "\n",
-      "20. Bradley, Taj              → Nelson, Ryne             \n",
-      "     mass=  35.38, m[A]= 137.29 | uniq: 0.802 → 0.722\n",
+      "20. Wacha, Michael            → Giolito, Lucas           \n",
+      "     mass=  37.68, m[A]= 145.57 | uniq: 0.811 → 0.730\n",
       "\n",
       "================================================================================\n",
-      " 1. May, Dustin               → Webb, Logan               | mass= 62.12, uniq=0.767\n",
-      " 2. Martin, Davis             → Smith, Shane              | mass= 55.90, uniq=0.577\n",
-      " 3. deGrom, Jacob             → Leiter, Jack              | mass= 53.55, uniq=0.894\n",
-      " 4. Nelson, Ryne              → Cease, Dylan              | mass= 50.03, uniq=0.722\n",
-      " 5. Castillo, Luis            → May, Dustin               | mass= 49.48, uniq=0.857\n",
-      " 6. Sugano, Tomoyuki          → Kremer, Dean              | mass= 49.34, uniq=0.735\n",
-      " 7. Irvin, Jake               → Warren, Will              | mass= 48.33, uniq=0.707\n",
-      " 8. Cease, Dylan              → Nelson, Ryne              | mass= 47.69, uniq=0.796\n",
-      " 9. Leiter, Jack              → deGrom, Jacob             | mass= 46.37, uniq=0.724\n",
-      "10. Severino, Luis            → Brown, Hunter             | mass= 44.99, uniq=0.683\n",
-      "11. Wacha, Michael            → Giolito, Lucas            | mass= 44.83, uniq=0.774\n",
-      "12. Martinez, Nick            → Vásquez, Randy            | mass= 42.66, uniq=0.782\n",
-      "13. Cecconi, Slade            → Lorenzen, Michael         | mass= 41.58, uniq=0.581\n",
-      "14. May, Dustin               → Castillo, Luis            | mass= 39.79, uniq=0.767\n",
-      "15. Cameron, Noah             → Parker, Mitchell          | mass= 38.12, uniq=0.850\n",
-      "16. Vásquez, Randy            → Martinez, Nick            | mass= 37.01, uniq=0.486\n",
-      "17. Brown, Hunter             → Severino, Luis            | mass= 36.90, uniq=0.777\n",
-      "18. Gilbert, Logan            → Pepiot, Ryan              | mass= 36.89, uniq=0.780\n",
-      "19. Cecconi, Slade            → Keller, Mitch             | mass= 35.90, uniq=0.581\n",
-      "20. Bradley, Taj              → Nelson, Ryne              | mass= 35.38, uniq=0.802\n",
+      " 1. Parker, Mitchell          → Cameron, Noah             | mass= 82.13, uniq=0.806\n",
+      " 2. May, Dustin               → Webb, Logan               | mass= 80.00, uniq=0.723\n",
+      " 3. Castillo, Luis            → May, Dustin               | mass= 56.73, uniq=0.852\n",
+      " 4. deGrom, Jacob             → Leiter, Jack              | mass= 55.88, uniq=0.894\n",
+      " 5. Smith, Shane              → Martin, Davis             | mass= 53.20, uniq=0.564\n",
+      " 6. Nelson, Ryne              → Cease, Dylan              | mass= 51.41, uniq=0.674\n",
+      " 7. Severino, Luis            → Brown, Hunter             | mass= 49.10, uniq=0.608\n",
+      " 8. Giolito, Lucas            → Wacha, Michael            | mass= 49.03, uniq=0.730\n",
+      " 9. Lord, Brad                → Morton, Charlie           | mass= 47.14, uniq=0.845\n",
+      "10. Cease, Dylan              → Nelson, Ryne              | mass= 46.36, uniq=0.815\n",
+      "11. Vásquez, Randy            → Martinez, Nick            | mass= 45.39, uniq=0.402\n",
+      "12. Gilbert, Logan            → Pepiot, Ryan              | mass= 44.65, uniq=0.810\n",
+      "13. Quintana, Jose            → Bubic, Kris               | mass= 43.38, uniq=0.844\n",
+      "14. Irvin, Jake               → Warren, Will              | mass= 40.98, uniq=0.728\n",
+      "15. Martin, Davis             → Smith, Shane              | mass= 40.42, uniq=0.759\n",
+      "16. May, Dustin               → Castillo, Luis            | mass= 39.89, uniq=0.723\n",
+      "17. Brown, Hunter             → Severino, Luis            | mass= 39.89, uniq=0.769\n",
+      "18. Anderson, Tyler           → Cameron, Noah             | mass= 39.42, uniq=0.910\n",
+      "19. Leiter, Jack              → deGrom, Jacob             | mass= 38.75, uniq=0.729\n",
+      "20. Wacha, Michael            → Giolito, Lucas            | mass= 37.68, uniq=0.811\n",
       "\n",
       "TOP 20 WEIGHTED SYMMETRIC SIMILARITIES\n",
       "================================================================================\n",
-      " 1. Heaney, Andrew            ↔ Sale, Chris              \n",
-      "     Sim=0.636827 | C[A→B]= 15.61, C[B→A]=  6.11\n",
-      "     m[A]=  25.77, m[B]=   8.33 | uniq: 0.947, 0.990\n",
+      " 1. Cameron, Noah             ↔ Parker, Mitchell         \n",
+      "     Sim=0.590654 | C[A→B]= 23.17, C[B→A]= 82.13\n",
+      "     m[A]=  42.68, m[B]= 135.61 | uniq: 0.938, 0.806\n",
       "\n",
-      " 2. Cameron, Noah             ↔ Parker, Mitchell         \n",
-      "     Sim=0.417655 | C[A→B]= 38.12, C[B→A]= 34.66\n",
-      "     m[A]=  77.63, m[B]=  96.63 | uniq: 0.850, 0.878\n",
+      " 2. Heaney, Andrew            ↔ Sale, Chris              \n",
+      "     Sim=0.540510 | C[A→B]= 17.72, C[B→A]=  4.10\n",
+      "     m[A]=  31.32, m[B]=   9.06 | uniq: 0.947, 0.983\n",
       "\n",
       " 3. May, Dustin               ↔ Webb, Logan              \n",
-      "     Sim=0.392538 | C[A→B]= 62.12, C[B→A]= 26.48\n",
-      "     m[A]= 144.92, m[B]=  80.78 | uniq: 0.767, 0.921\n",
+      "     Sim=0.445511 | C[A→B]= 80.00, C[B→A]= 21.15\n",
+      "     m[A]= 162.36, m[B]=  64.68 | uniq: 0.723, 0.944\n",
       "\n",
-      " 4. Crochet, Garrett          ↔ Luzardo, Jesús           \n",
-      "     Sim=0.360073 | C[A→B]= 28.06, C[B→A]= 23.64\n",
-      "     m[A]=  70.89, m[B]=  72.67 | uniq: 0.916, 0.911\n",
+      " 4. Anderson, Tyler           ↔ Cameron, Noah            \n",
+      "     Sim=0.420255 | C[A→B]= 39.42, C[B→A]=  3.39\n",
+      "     m[A]=  59.21, m[B]=  42.68 | uniq: 0.910, 0.938\n",
       "\n",
       " 5. Elder, Bryce              ↔ Holmes, Clay             \n",
-      "     Sim=0.351760 | C[A→B]=  9.93, C[B→A]= 18.81\n",
-      "     m[A]=  46.42, m[B]=  35.26 | uniq: 0.937, 0.949\n",
+      "     Sim=0.411215 | C[A→B]= 12.88, C[B→A]= 20.84\n",
+      "     m[A]=  47.97, m[B]=  34.01 | uniq: 0.935, 0.954\n",
       "\n",
-      " 6. Leiter, Jack              ↔ deGrom, Jacob            \n",
-      "     Sim=0.338654 | C[A→B]= 46.37, C[B→A]= 53.55\n",
-      "     m[A]= 195.00, m[B]= 100.04 | uniq: 0.724, 0.894\n",
+      " 6. Crochet, Garrett          ↔ Luzardo, Jesús           \n",
+      "     Sim=0.409706 | C[A→B]= 20.20, C[B→A]= 32.11\n",
+      "     m[A]=  57.42, m[B]=  70.25 | uniq: 0.938, 0.927\n",
       "\n",
-      " 7. Gore, MacKenzie           ↔ Kikuchi, Yusei           \n",
-      "     Sim=0.331534 | C[A→B]= 32.68, C[B→A]= 15.15\n",
-      "     m[A]=  82.45, m[B]=  61.82 | uniq: 0.905, 0.929\n",
+      " 7. Cameron, Noah             ↔ Liberatore, Matthew      \n",
+      "     Sim=0.392164 | C[A→B]=  6.44, C[B→A]= 21.34\n",
+      "     m[A]=  42.68, m[B]=  28.16 | uniq: 0.938, 0.960\n",
       "\n",
-      " 8. Castillo, Luis            ↔ May, Dustin              \n",
-      "     Sim=0.329730 | C[A→B]= 49.48, C[B→A]= 39.79\n",
-      "     m[A]= 125.81, m[B]= 144.92 | uniq: 0.857, 0.767\n",
+      " 8. Abbott, Andrew            ↔ Ray, Robbie              \n",
+      "     Sim=0.391011 | C[A→B]= 27.59, C[B→A]= 28.83\n",
+      "     m[A]=  90.34, m[B]=  53.97 | uniq: 0.897, 0.944\n",
       "\n",
-      " 9. Falter, Bailey            ↔ Rodriguez, Eduardo       \n",
-      "     Sim=0.328385 | C[A→B]=  6.43, C[B→A]=  5.26\n",
-      "     m[A]=  12.48, m[B]=  23.13 | uniq: 0.983, 0.979\n",
+      " 9. Gilbert, Logan            ↔ Pepiot, Ryan             \n",
+      "     Sim=0.378458 | C[A→B]= 44.65, C[B→A]= 16.08\n",
+      "     m[A]= 104.52, m[B]=  55.96 | uniq: 0.810, 0.928\n",
       "\n",
-      "10. Abbott, Andrew            ↔ Ray, Robbie              \n",
-      "     Sim=0.325221 | C[A→B]= 29.42, C[B→A]= 22.73\n",
-      "     m[A]= 105.76, m[B]=  54.60 | uniq: 0.884, 0.938\n",
+      "10. Castillo, Luis            ↔ May, Dustin              \n",
+      "     Sim=0.336970 | C[A→B]= 56.73, C[B→A]= 39.89\n",
+      "     m[A]= 124.38, m[B]= 162.36 | uniq: 0.852, 0.723\n",
       "\n",
-      "11. Rodriguez, Eduardo        ↔ Valdez, Framber          \n",
-      "     Sim=0.312892 | C[A→B]=  5.69, C[B→A]=  7.93\n",
-      "     m[A]=  23.13, m[B]=  20.40 | uniq: 0.979, 0.971\n",
+      "11. Bubic, Kris               ↔ Quintana, Jose           \n",
+      "     Sim=0.330612 | C[A→B]=  8.55, C[B→A]= 43.38\n",
+      "     m[A]=  62.81, m[B]=  94.26 | uniq: 0.896, 0.844\n",
       "\n",
-      "12. Gilbert, Logan            ↔ Pepiot, Ryan             \n",
-      "     Sim=0.301318 | C[A→B]= 36.89, C[B→A]= 18.01\n",
-      "     m[A]= 110.25, m[B]=  71.98 | uniq: 0.780, 0.903\n",
+      "12. Leiter, Jack              ↔ deGrom, Jacob            \n",
+      "     Sim=0.329140 | C[A→B]= 38.75, C[B→A]= 55.88\n",
+      "     m[A]= 183.94, m[B]= 103.59 | uniq: 0.729, 0.894\n",
       "\n",
-      "13. Allen, Logan              ↔ Imanaga, Shota           \n",
-      "     Sim=0.292213 | C[A→B]=  5.56, C[B→A]= 11.43\n",
-      "     m[A]=  28.64, m[B]=  29.50 | uniq: 0.966, 0.933\n",
+      "13. Lord, Brad                ↔ Morton, Charlie          \n",
+      "     Sim=0.314806 | C[A→B]= 47.14, C[B→A]= 13.35\n",
+      "     m[A]=  93.57, m[B]=  98.58 | uniq: 0.845, 0.861\n",
       "\n",
-      "14. Buehler, Walker           ↔ Patrick, Chad            \n",
-      "     Sim=0.285124 | C[A→B]= 28.48, C[B→A]= 24.53\n",
-      "     m[A]= 114.21, m[B]=  71.70 | uniq: 0.800, 0.881\n",
+      "14. Falter, Bailey            ↔ Rodriguez, Eduardo       \n",
+      "     Sim=0.288831 | C[A→B]=  8.87, C[B→A]=  5.84\n",
+      "     m[A]=  16.55, m[B]=  34.39 | uniq: 0.973, 0.964\n",
       "\n",
-      "15. Alcantara, Sandy          ↔ Cabrera, Edward          \n",
-      "     Sim=0.283853 | C[A→B]= 24.74, C[B→A]= 31.38\n",
-      "     m[A]=  82.47, m[B]= 115.21 | uniq: 0.915, 0.796\n",
+      "15. Gore, MacKenzie           ↔ Kikuchi, Yusei           \n",
+      "     Sim=0.285687 | C[A→B]= 25.49, C[B→A]= 16.46\n",
+      "     m[A]=  77.24, m[B]=  69.58 | uniq: 0.901, 0.917\n",
       "\n",
-      "16. Bubic, Kris               ↔ Quintana, Jose           \n",
-      "     Sim=0.283270 | C[A→B]= 14.19, C[B→A]= 31.93\n",
-      "     m[A]=  76.83, m[B]=  86.01 | uniq: 0.871, 0.857\n",
+      "16. Abbott, Andrew            ↔ Springs, Jeffrey         \n",
+      "     Sim=0.268209 | C[A→B]= 21.07, C[B→A]= 20.59\n",
+      "     m[A]=  90.34, m[B]=  64.98 | uniq: 0.897, 0.942\n",
       "\n",
-      "17. Cease, Dylan              ↔ Nelson, Ryne             \n",
-      "     Sim=0.280426 | C[A→B]= 47.69, C[B→A]= 50.03\n",
-      "     m[A]= 165.09, m[B]= 183.39 | uniq: 0.796, 0.722\n",
+      "17. Giolito, Lucas            ↔ Wacha, Michael           \n",
+      "     Sim=0.268103 | C[A→B]= 49.03, C[B→A]= 37.68\n",
+      "     m[A]= 177.86, m[B]= 145.57 | uniq: 0.730, 0.811\n",
       "\n",
-      "18. Abbott, Andrew            ↔ Freeland, Kyle           \n",
-      "     Sim=0.271930 | C[A→B]= 29.58, C[B→A]= 25.42\n",
-      "     m[A]= 105.76, m[B]=  96.52 | uniq: 0.884, 0.874\n",
+      "18. Burke, Sean               ↔ Gallen, Zac              \n",
+      "     Sim=0.259864 | C[A→B]= 33.85, C[B→A]=  7.65\n",
+      "     m[A]= 131.56, m[B]=  28.16 | uniq: 0.809, 0.975\n",
       "\n",
-      "19. Ober, Bailey              ↔ Taillon, Jameson         \n",
-      "     Sim=0.253058 | C[A→B]=  6.21, C[B→A]= 19.83\n",
-      "     m[A]=  29.59, m[B]=  73.33 | uniq: 0.966, 0.891\n",
+      "19. Cease, Dylan              ↔ Nelson, Ryne             \n",
+      "     Sim=0.259093 | C[A→B]= 46.36, C[B→A]= 51.41\n",
+      "     m[A]= 169.38, m[B]= 207.96 | uniq: 0.815, 0.674\n",
       "\n",
-      "20. Lord, Brad                ↔ Morton, Charlie          \n",
-      "     Sim=0.245104 | C[A→B]= 23.70, C[B→A]= 28.14\n",
-      "     m[A]=  77.45, m[B]= 134.07 | uniq: 0.880, 0.800\n",
+      "20. Corbin, Patrick           ↔ Springs, Jeffrey         \n",
+      "     Sim=0.251490 | C[A→B]= 14.05, C[B→A]= 13.17\n",
+      "     m[A]=  43.25, m[B]=  64.98 | uniq: 0.934, 0.942\n",
       "\n",
-      " 1. Heaney, Andrew            ↔ Sale, Chris               | Sim=0.6368, uniq=0.947/0.990\n",
-      " 2. Cameron, Noah             ↔ Parker, Mitchell          | Sim=0.4177, uniq=0.850/0.878\n",
-      " 3. May, Dustin               ↔ Webb, Logan               | Sim=0.3925, uniq=0.767/0.921\n",
-      " 4. Crochet, Garrett          ↔ Luzardo, Jesús            | Sim=0.3601, uniq=0.916/0.911\n",
-      " 5. Elder, Bryce              ↔ Holmes, Clay              | Sim=0.3518, uniq=0.937/0.949\n",
-      " 6. Leiter, Jack              ↔ deGrom, Jacob             | Sim=0.3387, uniq=0.724/0.894\n",
-      " 7. Gore, MacKenzie           ↔ Kikuchi, Yusei            | Sim=0.3315, uniq=0.905/0.929\n",
-      " 8. Castillo, Luis            ↔ May, Dustin               | Sim=0.3297, uniq=0.857/0.767\n",
-      " 9. Falter, Bailey            ↔ Rodriguez, Eduardo        | Sim=0.3284, uniq=0.983/0.979\n",
-      "10. Abbott, Andrew            ↔ Ray, Robbie               | Sim=0.3252, uniq=0.884/0.938\n",
-      "11. Rodriguez, Eduardo        ↔ Valdez, Framber           | Sim=0.3129, uniq=0.979/0.971\n",
-      "12. Gilbert, Logan            ↔ Pepiot, Ryan              | Sim=0.3013, uniq=0.780/0.903\n",
-      "13. Allen, Logan              ↔ Imanaga, Shota            | Sim=0.2922, uniq=0.966/0.933\n",
-      "14. Buehler, Walker           ↔ Patrick, Chad             | Sim=0.2851, uniq=0.800/0.881\n",
-      "15. Alcantara, Sandy          ↔ Cabrera, Edward           | Sim=0.2839, uniq=0.915/0.796\n",
-      "16. Bubic, Kris               ↔ Quintana, Jose            | Sim=0.2833, uniq=0.871/0.857\n",
-      "17. Cease, Dylan              ↔ Nelson, Ryne              | Sim=0.2804, uniq=0.796/0.722\n",
-      "18. Abbott, Andrew            ↔ Freeland, Kyle            | Sim=0.2719, uniq=0.884/0.874\n",
-      "19. Ober, Bailey              ↔ Taillon, Jameson          | Sim=0.2531, uniq=0.966/0.891\n",
-      "20. Lord, Brad                ↔ Morton, Charlie           | Sim=0.2451, uniq=0.880/0.800\n"
+      " 1. Cameron, Noah             ↔ Parker, Mitchell          | Sim=0.5907, uniq=0.938/0.806\n",
+      " 2. Heaney, Andrew            ↔ Sale, Chris               | Sim=0.5405, uniq=0.947/0.983\n",
+      " 3. May, Dustin               ↔ Webb, Logan               | Sim=0.4455, uniq=0.723/0.944\n",
+      " 4. Anderson, Tyler           ↔ Cameron, Noah             | Sim=0.4203, uniq=0.910/0.938\n",
+      " 5. Elder, Bryce              ↔ Holmes, Clay              | Sim=0.4112, uniq=0.935/0.954\n",
+      " 6. Crochet, Garrett          ↔ Luzardo, Jesús            | Sim=0.4097, uniq=0.938/0.927\n",
+      " 7. Cameron, Noah             ↔ Liberatore, Matthew       | Sim=0.3922, uniq=0.938/0.960\n",
+      " 8. Abbott, Andrew            ↔ Ray, Robbie               | Sim=0.3910, uniq=0.897/0.944\n",
+      " 9. Gilbert, Logan            ↔ Pepiot, Ryan              | Sim=0.3785, uniq=0.810/0.928\n",
+      "10. Castillo, Luis            ↔ May, Dustin               | Sim=0.3370, uniq=0.852/0.723\n",
+      "11. Bubic, Kris               ↔ Quintana, Jose            | Sim=0.3306, uniq=0.896/0.844\n",
+      "12. Leiter, Jack              ↔ deGrom, Jacob             | Sim=0.3291, uniq=0.729/0.894\n",
+      "13. Lord, Brad                ↔ Morton, Charlie           | Sim=0.3148, uniq=0.845/0.861\n",
+      "14. Falter, Bailey            ↔ Rodriguez, Eduardo        | Sim=0.2888, uniq=0.973/0.964\n",
+      "15. Gore, MacKenzie           ↔ Kikuchi, Yusei            | Sim=0.2857, uniq=0.901/0.917\n",
+      "16. Abbott, Andrew            ↔ Springs, Jeffrey          | Sim=0.2682, uniq=0.897/0.942\n",
+      "17. Giolito, Lucas            ↔ Wacha, Michael            | Sim=0.2681, uniq=0.730/0.811\n",
+      "18. Burke, Sean               ↔ Gallen, Zac               | Sim=0.2599, uniq=0.809/0.975\n",
+      "19. Cease, Dylan              ↔ Nelson, Ryne              | Sim=0.2591, uniq=0.815/0.674\n",
+      "20. Corbin, Patrick           ↔ Springs, Jeffrey          | Sim=0.2515, uniq=0.934/0.942\n"
      ]
     }
    ],
@@ -247309,7 +246817,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "test_env",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
diff --git a/README.md b/README.md
index 3b4a179..1d60655 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,19 @@ We trained a Multi-Layer Perceptron (MLP) neural network on 293,185 pitches from
 **Goal 2 - Similarity Analysis:**
 Rather than just averaging pitch features, we leveraged the trained classifier's confusion patterns. When the model consistently confuses pitcher A for pitcher B, it reveals they have similar pitch profiles. We developed a confusion-based similarity metric that normalizes by each pitcher's total confusion mass, creating comparable scores even between highly distinctive and generic pitchers. This approach captures which pitchers the model actually struggles to distinguish in practice, revealing similarities that simple feature averaging would miss. 
 
+---
+
+## Quick Start with Makefile
+
+To set up and run the project quickly, we provide a Makefile with all dependencies:
 
+### Installation
+```bash
+# Install all dependencies
+make install
+```
+
+---
 
 ## Data Collection
 
@@ -158,51 +170,62 @@ We considered several classification architectures before settling on the Multi-
 
 ### Hyperparameter Tuning
 
-We conducted systematic hyperparameter optimization to maximize classification accuracy:
+We conducted systematic hyperparameter optimization using Optuna, a state-of-the-art framework for automated hyperparameter search:
 
 **Parameters Tuned:**
-    - To be added
-- **Hidden Layer Architecture:** 
-  - Final: Two hidden layers 
-- **Dropout Rate:** 
-  - Final: 
-- **Learning Rate:** 
-  - 
-- **Batch Size:** Compared 32, 64, 128, 256
-  - Final: 
+- **Hidden Layer 1 Size:** Tested [64, 128, 192, 250] neurons
+  - Final: 128 neurons
+- **Hidden Layer 2 Size:** Tested [32, 64, 128, 192] neurons
+  - Final: 192 neurons
+- **Dropout Rate:** Range [0.1, 0.5]
+  - Final: 0.114
+- **Learning Rate:** Log-scale range [0.0001, 0.01]
+  - Final: 0.000518
+- **Weight Decay:** Log-scale range [0.000001, 0.001]
+  - Final: 0.0000075
+- **Batch Size:** Tested [32, 64, 128]
+  - Final: 64
 
 **Tuning Process:**
-- Used ...-fold cross-validation on the training set
-- Evaluated based on validation f1 and top-3 accuracy
+- Used Optuna's Tree-structured Parzen Estimator (TPE) sampler for intelligent search
+- Optimized for validation F1 score (macro-averaged)
+- Applied early stopping (patience=3 epochs) during trial training
+- Trained each trial for up to 20 epochs
 - Monitored for overfitting by tracking training vs validation loss gap
-- Selected final configuration that maximized validation accuracy while maintaining training stability
+- Selected configuration that achieved best validation F1 score: 0.854
 
-**Results of Tuning:**
-- Improved top-1 accuracy from x% (baseline configuration) to y% (tuned)
+**Saved Artifacts:**
+- Optimal hyperparameters saved to `outputs/best_hyperparameters.json` for reproducibility
+- Model can be retrained with saved parameters without re-running expensive Optuna search
+- Training script automatically loads saved hyperparameters if available
 
 ### Model Architecture
 
-We implemented a Multi-Layer Perceptron (MLP) neural network for pitcher classification:
+We implemented a Multi-Layer Perceptron (MLP) neural network for pitcher classification using PyTorch:
 
-CHANGE NOW
-**Network Structure:**
-- Input layer: Variable size based on number of features (after one-hot encoding)
+**Network Structure (Optimized):**
+- Input layer: 32 features (after one-hot encoding and feature engineering)
 - Hidden layer 1: 128 neurons with ReLU activation
-- Hidden layer 2: 64 neurons with ReLU activation
-- Dropout regularization: 0.3 dropout rate after each hidden layer
+- Dropout: 0.114 rate after first hidden layer
+- Hidden layer 2: 192 neurons with ReLU activation  
+- Dropout: 0.114 rate after second hidden layer
 - Output layer: 110 neurons (one per pitcher) with softmax activation
 
 **Training Configuration:**
 - Loss function: Cross-entropy loss
-- Optimizer: Adam with learning rate of 0.001
+- Optimizer: Adam with learning rate of 0.000518 and weight decay of 0.0000075
 - Batch size: 64
-- Training epochs: 50
+- Training epochs: Up to 100 with early stopping (patience=10)
 - Data split: 80% training, 20% validation (stratified by pitcher)
+- Final model: Trained for 11 epochs before early stopping
 
 **Implementation Details:**
-- Used PyTorch framework
+- Used PyTorch framework for neural network implementation
 - Applied StandardScaler normalization to all numerical features
-- Tracked training loss, validation loss, and validation accuracy across epochs
+- Implemented early stopping to prevent overfitting
+- Tracked multiple metrics: training loss, validation loss, validation accuracy, and macro F1 score
+- Model state saved at best validation F1 score
+- All training artifacts saved to `outputs/` directory for reproducibility
 
 ---
 
@@ -213,29 +236,36 @@ CHANGE NOW
 The neural network achieved strong performance in pitcher identification:
 
 **Overall Accuracy Metrics:**
-- Top-1 Accuracy (Exact Match): 83.43%
-- Top-3 Accuracy: 96.44%
-- Top-5 Accuracy: 98.59%
+- Top-1 Accuracy (Exact Match): 85.73%
+- Top-3 Accuracy: 97.40%
+- Top-5 Accuracy: 99.12%
 
-These results indicate that the model correctly identifies the pitcher on the first guess 83% of the time, and includes the correct pitcher in the top 3 predictions 96% of the time.
+These results indicate that the model correctly identifies the pitcher on the first guess 86% of the time, and includes the correct pitcher in the top 3 predictions 97% of the time.
 
 ### Per-Pitcher Analysis
 
-Performance varied significantly across individual pitchers:
+Performance varied significantly across individual pitchers, revealing which pitchers have truly distinctive signatures:
+
+**Per-Pitcher Accuracy Statistics:**
+- Mean: 85.33%
+- Median: 86.98%
+- Standard Deviation: 11.35%
 
 **Most Distinctive Pitchers (Near-Perfect Accuracy):**
-- Nick Lodolo: 100.0% (510 pitches)
-- JP Sears: 100.0% (500 pitches)
-- Freddy Peralta: 99.7% (617 pitches)
-- Kyle Hendricks: 98.6% (515 pitches)
+- Nick Lodolo: 100.0% (510/510 pitches)
+- JP Sears: 100.0% (500/500 pitches)
+- Kyle Hendricks: 99.8% (514/515 pitches)
+- Freddy Peralta: 99.7% (615/617 pitches)
+- Justin Verlander: 98.9% (531/537 pitches)
 
 **Least Distinctive Pitchers (Frequently Confused):**
-- Shane Smith: 33.7% (475 pitches)
-- Randy Vásquez: 43.0% (430 pitches)
-- Michael Lorenzen: 44.4% (491 pitches)
-- Brandon Pfaadt: 47.3% (611 pitches)
+- Shane Smith: 43.2% (205/475 pitches)
+- Randy Vásquez: 43.7% (188/430 pitches)
+- Michael Lorenzen: 52.5% (258/491 pitches)
+- Luis Severino: 54.2% (296/546 pitches)
+- Brandon Pfaadt: 60.9% (372/611 pitches)
 
-This wide range shows that some pitchers have highly unique signatures that the model learns easily, while others have more generic characteristics that overlap with many other pitchers.
+This wide range (43%-100%) shows that some pitchers have highly unique signatures that the model learns easily, while others have more generic characteristics that overlap with many other pitchers. The model's confusion patterns reveal real similarities in pitching styles that would be difficult to detect through simple statistical averaging.
 
 ### Training Dynamics
 
@@ -320,7 +350,10 @@ We built a Streamlit dashboard (`dashboard.py`):
 - Input custom pitch characteristics and see which pitchers would most likely throw it
 - View radar charts comparing pitch characteristics across similar pitchers
 
-**To run:** `streamlit run dashboard.py`
+**To run:**
+```bash
+streamlit run dashboard.py
+```
 
 ---
 
diff --git a/requirements.txt b/requirements.txt
index e93ae23..87da713 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,7 +4,7 @@ numpy>=1.23.0
 plotly>=5.0.0
 pybaseball>=2.2.0
 scikit-learn>=1.0.0
-torch>=2.0.0
+torch
 optuna>=3.0.0
 shap>=0.42.0
 nbformat>=4.2.0
diff --git a/requirements_dashboard.txt b/requirements_dashboard.txt
index db97b1c..7024eaf 100644
--- a/requirements_dashboard.txt
+++ b/requirements_dashboard.txt
@@ -1,5 +1,5 @@
 streamlit>=1.31.0
-torch>=2.2.0
+torch
 pandas>=2.0.0
 numpy>=1.23.0,<2.0.0
 plotly>=5.0.0