From 45fce404d77dbb5daf8f0a16da0c61329475a5a9 Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Thu, 21 May 2026 13:42:12 -0500 Subject: [PATCH 01/20] Update demo notebook initialization cells --- demos/elliptic-pde.ipynb | 527 +++++--- demos/gaussian_diagnostics_demo.ipynb | 1675 +++++++++++++++++++++++ demos/integration_examples.ipynb | 397 ++++++ demos/iris.ipynb | 1752 ++++++++++++------------- demos/qei-demo-for-blog.ipynb | 115 +- 5 files changed, 3338 insertions(+), 1128 deletions(-) create mode 100644 demos/gaussian_diagnostics_demo.ipynb create mode 100644 demos/integration_examples.ipynb diff --git a/demos/elliptic-pde.ipynb b/demos/elliptic-pde.ipynb index c49fb2cbf..78e8b278e 100644 --- a/demos/elliptic-pde.ipynb +++ b/demos/elliptic-pde.ipynb @@ -14,20 +14,36 @@ "execution_count": 1, "metadata": {}, "outputs": [], + "source": [ + "# @title Execute this cell to install dependancies\n", + "try:\n", + " import google.colab\n", + " import os\n", + " !pip install -q qmcpy >> /dev/null\n", + "except:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], "source": [ "import copy\n", "import numpy as np\n", "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "from scipy.special import gamma, kv\n", - "from qmcpy.integrand import Integrand\n", - "from qmcpy.util.data import Data\n", + "from qmcpy.integrand._integrand import Integrand\n", + "from qmcpy.accumulate_data.mlmc_data import MLMCData\n", + "from qmcpy.accumulate_data.mlqmc_data import MLQMCData\n", "import qmcpy as qp" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -50,7 +66,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -98,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -123,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -134,12 +150,12 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -157,7 +173,7 @@ "ax.set_ylabel(r\"$x$\")\n", "ax.set_xlabel(r\"$y$\")\n", "ax.set_title(f\"Matern kernel\")\n", - "plt.show();" + "plt.show()" ] }, { @@ -187,7 +203,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -212,12 +228,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { - "image/png": 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Sc56fGxSq93onY8EbDF/+FSM7klwPZmHWgCZ0DaTH+4eQsx06uij5OlPKOg2RkfDFXzHyWaj9Oz+ygx9N79UUXRBrWtyuj0qjb7fG1haZc5r0a4NbSFtbuBICCRPCH5ScxsCpj5y69P397U3yg5KH2ExZGCkFpTy05rtx7alHCG4OavhAVso6DZH2t/HYOXrv19O1NVA88JE/GDkHGjT3hXc2nqpN7+B21k/dHkpjOvqjtkqh15lS1qkvPK+JuzB9tjm6tpXzgOae9NKdzSkIp3D/mga5ZG8ifb45unYuBdeO8fuFtvOXIJAwAVw09daGk7Rwd4J8PaqDH709tLXiCyhvBacyTP/hAB1IzJPjyreHtpLTGVD2B7JS1qlPx1IK6M0NJygyIU++9nG2oefvCJNCajWfQt4sToN8e8PJ2o4uoV6O9NqQFtINDpR1nSllnfrAw+Pe3nhK0pm0f69fGdxc5qvA9eUVl0swsWRfkjxPWZo3oEndAumRfiFSe2nqCtH+Vf05f48ti6rdZXt+UBg92DsIDxA1x5fPrz5K6w6nyXszo1eQvD9maP2m2A9kpaxTHzKLSumjTWdo9aEUaTpgY2lGM3sH0/ReQaqogdJ1KuSP/9i59aJX7mpOgRiAqZjrTCnr1HUh8Ws/n6CNR8/J1zxpmhsq3IeTtjqLySiitzaektpL7Vydd4e1llMKU1aIQEK90vIv0NRFB+jUuUKytjCjz0a3oztbNzL0sowu5YNzRT/fHCNfD2rpLe8THrSU+YGslHXq+jh+7s54+ubvWKmFYkPb+cgpBOaq1D2XnO8Ni/cm1u5ETu7ehB7tF0yOJjwRVynXmVLWqSu/HTtHr6w7TjnF5XLyPrlbID3KtT/YRb8lXGv51i8nZaYV48F8rw9paZKp4gyBhIrTGbgzE89V4K4DcyZ0oPDGDQ29LKO1LiqVnlt9lMqrqqmNnzPNndCBPE20+FTJH8hKWacuhy3NXHJIGgswrn94fUgLisC1f0tiM4vorQ2nJO1J22t+1vj2JtuoQSnXmVLWqYvU3dd/PkG/HEmrTWP6eGRbau1nep2YdNm4gltIc4cnrjvldrHvDW9N/cJM73SiECcS6vPHiXR6fPlh6crSzMuB5k3sSP6uypgFYUj7z+bSjMUHKK+kQvLI50/uSGHepvPho4YPZKWsUxf2xudIR7bs8+Wy48gBxNB2vkjVq+eudy//dIzSCkqlZS4/nJniKa9SrjOlrLM+bTqeTq+sOyb3AT6F4Fauj/YPxtwkHTmYmEfPrjpSezoxor2fzKQxpVOfQj1cZ6Zb0WuANJ25O+JpxpKDEkTwQJnVM7shiLhBnZq40k8PdZfdRn5QGPHdHjnCBDD2637+zrM0bu4+eXho3siJfnmkBw2P8EMQUc/6hnnSL4/2oG5N3aikvIoe+vEQvf/b6dopwACGUlBSQY8vj6IHlxyU+wBvIv70UDd6ZmAogggd4u53vz7ekx7o2YS4d8Xqgyk08LPttaeXUD8QSOiprdvL645LVwYurBzXuTEtmNSRnEw4j/dmcCHl2oe6yTRPLlSfujCSftij6XYFYGwulFfRkysO05sbTsrD7D3tfGjtzG6KmUavRG4O1vTDlE5StM6+3xZHE+fvrx1qB2CIVOa7vtpB6w+nyVC5h/o0lYC3jR9aO+sDD/F8+a4WtGpGV2kLm15YKveEj34/LY0b4NYhkNCxwtIKmYvA/aE5IubOItzO1MIcb/3NcLGzoh+mdJYjSt5ofG39CZm/gV1HMCZJOSU0/Lvd0nWMUxg4lelzNArQC763ci/5r8eGS4rTzthsGvLVTjqeWqCfBQDUnEb+uC+R7v1uN6XkXaDGrna09qHu9NygMJxCGECHQFf69bGeNKFrgHz9zZY4Gj9vP2UVaaZkw83D06wOJeeW0IjvdtOOmGyytTSnWfe3p2k90d71VvGMjY9GtKFnB4bK1wt2JcjcieIyzVAaAEP3hB/y9U7pyMbNFJZO6yzdhDAXQr8Gt/GRdMhANzsZ9McPdJzaAKBrJeWV9NTKI/TyT8elSQi3IOVTiHYYMGlQ3PHxzXta0Vdjwsneypz2xOfQXV/uoH3xOYZdmMIhkNCRqKQ8GvbtLorOOC8dA1Y92JVub+mtqz/O5PBD2cN9g+mbsRHSPvev05k08vs90hkHwBCqqy/S13/H0OSFkVRwoUIeGvjhoXOQG74hBhLq7UjrH+lB/cM8qayymp5ZdYReW39c2vAC6AIPlbvn6130U1SqnEa+dGcYzR7f3qQKfI3dkLY+cl/gWhXunjl27j6atS1OTpGg7hBI6AAPl7lv9t7a4sp1D3enVr5o7aYLd7VpRMumd5Gd35PnCmnoN7uQwgB6V1RaIYWUH/8RLXVQPIl9xYwumA1hBPgBjltsP94/RL7+YU8ijZ2zlzILSw29NFCZn4+k0d1f75TJ656O1rTsgS40vVdTnEYaoWBPB3k24zk+nBr93m+nafrig7IJBHWDQKIecTT7zZZYenjpIdn94l2w1Q92xcOEjnEffk5hCPF0oIzCMjmZ+PNkhq7/WIDaOQb3fLOL/jiZQVbmZvT+8NbSs9zaAhOqjYWZWQN68rZmNG9iB3K0saADiXl011c76UBCrqGXBio5jXz311P02LIo6RjWNciNNjzWQ7oNgvGys7KQIbfvDGsl925+buBAMC7rvKGXpigIJOoJH5Xz0LSPfj8jX0/uHkizJ3Qge2uL+voj4Dp4Fseah7pJW11urzt98QFpt4ujStClTcfPSRpDfFYxNXK2oZUPdqX7OjXGm26k+jf3op9rUhq4yJJPjhfvScB9Am6pOxu3Gp69PV6+5q5Mi6d2Ik9HDE1VSpr0uM4BtGZmN/J1saVEbpTx7W7UTdQBAol6kF9SThPm76NVB1Okvdub97SUkeycHwn6w+1050/qSGM7N5b0Em63++r642jxBvWOj8I/3HSaHlxyiIrLq6QlMYoplYFbQPIJJqdFVlZfpFfXn6BnVx+VabgAdZFZVEr3zd5Dm06ky442d2bjrkzoyqg8PFl8/SPdpbaN05vun7eP1h5Cc4YbgUDiFiVkF0v0ujc+V7oAzJvUkSZ0DbzV3xZukqW5Gb0ztJW02eV2u0v2JtGURQckhx2gvjqycEvnb7fGydfTejShJVM7k7uDNd5gheCT4q/HhEshLO/3cDcnTonMPo9WkHBjojOKaNg3u+lISgG52FnSkmmdaWi4L94+BeN7+PLpXejO1t5UUXVROm999ifXvaEI+3oQSNyCyIRc6czE49d9nG1kUnXfUM9b+S2hno4quc3u9/e3l7a726OzZBJ2Sl4J3l+olyCCJ6PaWJrRF/e1o1cGt8AOpELvE1wIu3hqZ2poZ0nHUgukCBvBBPyXnTHZdO+3u6WtMLcX5hMu1EOoZ4Dd12Mi6MHeTeXrL/6KkYCirBInlteCQOImrYtKpXFz9lFeSQW19nWW6n/u0ATGY2BLb1o5o6t0zziTUURDv9lNh5PzDb0sUHgQwaePDtYW9OO0LnRPO+xAKl33YHcZFMZturldN4IJuJ4VkUk0acF+KiqrpI6BmkYfnC4H6mrO8MIdYdI0g1PUuZUvD6/jNHb4JwQSdcRHXJ9vjqYnVhyWQTMDW3pJm0dPJxRWGWveIwd5Yd6OstM4etYe+vXYOUMvCxQYRExeoAkiHK0t6Iepnah9QENDLwvqCT8ILp/elbydbCSYGDN7Lybewj8++znN5fk1x6S2htuGcjpTQ3srvFMqxW28F07uKPf8/Wdzafh3uyktH7OqroZAog74aOvJFYfp880x8vWMXkH03bj20kIMjJePi21N2pmHtOXlDhvfbcXwGbgxPDF90oJI2nf2UhDBLYdBjcFEFwkmeA4An0xwZycADiK4eQenubDH+gVL21C0eFa/niEe8vzAHZ24Ox/XUnFtLFyCQOIG5RaX0/1z99G6w2ly1MVHXi/e2VyOwMD4cSoKD6Wa1E1TCP/BptP0wppjVFGFCbdw/SCCTyL2XxZEhCOIUK3AmmCCW/lyMDGGB9cVYXCdqXdoe+mn4zRv51n5+vUhLeip20MxZM6EhHo70qoHu1KQu73UxYyatUeK7UEDgcQN4OEkXFQdmZAnw4wWTe4kR16gLNyS7427W9IbQ1pIp5YVB5Jp4vz9VFCCjk7wT+flJGI/7U/Ilet+8bTOCCJMLJiI5WBiNqZgmyreaHpq5WFatj9JPjM+vLcNTe7exNDLAgNlNqyY0VXSpDOLNGnSx1IK8L1AIPHfdsdl07BvdsmQEr+GtrR2ZjfqEeKOvzwKNql7E5o7sYO0690dl0PDv9tFSTno6ARXBRHz99duHnB7V+4vDqYhwE0TTHA3vrisYrqPTyYKcTJhaqnMnAa7/nAaWZg1oC/HhNOojv6GXhYYkIejpj1sW38XabTD6Y8HEnJN/nuCE4nrWHkgmSbM20+FpZUU3thFinZDvBxN/i+NGvQL86JVD3aTXUd+UBj67S46mIgbAlwKIg4kXgoi+IMDTDGY6CrBBOdGI5gwreYK0xYdoD9PZpCVhRnNntCeBrfxMfSywAi42FnRj9M6U+cmrtK5a/y8/bQjJotMGQKJa/jyrxh6bvVR6c4wuE0jWvZAFwycUpkWPk60/uHu0r6Xa2DGzNlHv59IN/SywIB4cOHEmiDCyYZbvCKIMGWN3ewkmNAWWt43ey9l4GRC1Qpr7gE7YrLJzsqcFk7qKBtPAJfXXC6c3Il6N/OgCxVVNHXhAfrDhJ8dEEj8C96F+PTPaHn9aL9g+vK+cBlSAurDbXu5fe/tLbyovLKanlpxmM6iI4NJBxEHa4OILtTGDycRpk4TTHTRBBPZxVIzgWBC/SmNfA/g9q7dgpHKDP9ka2UuJ1V3tPKWUQCcBsfPjqYIgcRVuEfws6uPyOupPZrQ07eHojOTynH73u/uby9HlcXlVfTI0kOYYmmiQcShpHxytrWkpQ90kRkkAMzf9cpggk8m0gtQM6EmF8p5ZznyinsA2jzD9XD736/GhNM97Xwke+XhHw/RtmjTS3NCIHGZyqpqemxZFOWXVFAbP2d6flCY4b4zoFfc0veL+8LJ1d6KTqQV0nu/nsZ3wIRSGSZcFkRwOlMrXwQR8O/BBDfd4FNLbg2LYEIdSiuqaPriA7WzYhZP7YR7ANxwN8hPRratPZmY/sMB2hOXY1LvHgKJy3y2OVpyozn/jaNMLrIC0+HtbCM3BLZwdwJtOm66OY8mFUTM209RSfnkYocgAuoWTNw3ew+dK8CkWyXjlFY+ha6tiZjSESmNUOdg4ov7wql/mKcMvZ26KNKkmrfgSbnGzphs+nZrnLzmYXPcsQNMT98wT3qgp6ZP+HOrj1BKHtrCqj2IOJyMIAJunF9DTTDh72pLCTklkubEKbGgzCyEx5dH0eZTmWRtYUbzJnak9gGuhl4WKJCVhRl9My6Ceoa4U0l5FU2aH0lHU/LJFCCQIKKsojJ6YsVhuniRaEwnfxrSFm3eTNmzA8Ok3Se3/eVUN0y/VucuJB9BXx5EtPRBOhPUJZjoKsEEzxji+hoOTEFZE6ufWXWEfjueTlbm3OK1A3Vt6mboZYGC2Via0+zxHa5oDXsyrZDUzuQDierqizK5Mvt8GTXzcqDXBrc09PcEjGBn4av7wiVXlvPmtR28QB0uXrxIr6w7RnvjcyWNEUEE3AwuvOZgwtvJhmIyz0uhJe9wgzI+919ae4zW1Qyb451kbuUJUB/dnOZN6kgRjV2o4EIFjZ+3j2IyilT9xpp8IPHdtjjJjbSxNKNvxkbIXwIAbvn4/r1t5I34bmscbTfBTgxqNWdHPK08kEJmDUhqoXASAbcSTMyd2IFsLc3lc+TNDSfxZipgI+HtjadoxYFkuQdwbvttLTAnAuqPg7UFLZjMBftOlFNcTuPm7qPkXPWmSZt0IMGjzbW7zW/e3QpTq+EKd7VpROM6N5bXfGqVWYR2j0rHAwff+03TkevVwS2kJgbgVnCHr8/va0cNGhD9sCeRFu46izfUiM3eHk/za75HH41oK/d5gPrmbGtJi6d0plAvR8osKqOJC/ZTXnG5Kt9okw0k8kvKJf+d8yS5B/DIDn6GXhIYIX7YDPN2pOzz5fTkisPy9wWU6XhqAT2xXFMLNb5LAE3qFmjoJYFKDGzpTS/UtAvnU4ktZzINvST4Fz9FpdRuJLx8Z3O6tz0+90F3Gtpb0aIpncjH2Ybis4ppyqJImVeiNmamerT53OqjlFZQSoFudvTOsNbUgLeTAP6leOprTnmzNKddsTn03dZYvEcKxP3+py06QBcqqqSrxutDWuCah3o1vVcQjergR7zX8OjSKDqTru68aKXZEZNFz646Wjts9oFeQYZeEphIW/lFUzrJCQW3GX90mfpqqUwykFi0O4H+OJkhnRr4IZHz2QCuJdjTgd68R1OEz6lwkQmm0x9aDUrKK2naD5GUXlhKIZ4OUljJfb8B6hNvRr09tDV1CXKl82WVNGVhpHQEBOM4jXxw8UGZPsxdGfk0AkBfQrwcpZaKWwxzq+FX1x+XDW21MDPFG8q7NVOLX7wzDNMr4YaMaO9Hw8J9ZbeRU+LUmuuoyq5sK47Q8dRCmVrOfeKdbCwNvSxQcce37+9vT03c7Sk1/4JMS+apyWA4STklNGlBJBWXV1G3pm708cg2ZMZV1gB61DHQVQr7+a/esv3J9MVfMap5/00qkOBdIp5gyWPMuUsDcqShLruNbw1tJQ8I5wpK6dnVR1S1o6BWH/1xhjadqOkTP769dOMC0CUXOw5YO9SmMnAaLe4VhpFzXlPkyu3dmzdyolnj25O1BTozgmEMauVN/7unlbz+fHMMLdufpIpvhckEEnwjf/mnYzKJlAtfPhrRBjnSUCecAvf12HB5KOXjyfm7EvAOGrFVB5KldS/7YERr6hCIibWgH0EeDvTd/REyo+DnI2mq2n1UUkrjlEUH6Gx2sbTpXTS5IzniNBIMbHyXAHqkb7C85mfSzSczSOlMJpBYdSCF1h9OI3OzBvTlmHDZNQKoK5458PJdmvza9387RUdT8vEmGqG98Tn00k/H5PWj/YJpWDi6s4B+dWvqTu8Mu7T7uP5wKr4FesLd9R5bdpiO1Eyu/2FqJ/J0ssH7D0bh6dub0cj2msYMjyw7RMdSCkjJTCKQ4KmCr/18XF4/dVsz7EzCLZnQNYAGtvSiiqqL9OiyKCoqrcA7akQSsovpwSUH5fvDPeKfHNDM0EsCEzW6Y2OaUdMd6NnVR+lgYp6hl2QSPvz9NG0+lSE1K1wX1dTDwdBLArgiVfrd4a1lmnppRbWmGUiBcudUqT6Q4EK3R5ZGyTerR7A7zezd1NBLAhXcBD68t60clyfmlNBLP6mrA4OSFZRUSK/u/JIKauvvQp+MbIvCSjCo5waFSU1eeWU1zVh8QNUTbo0lpXHWtnh5zSnM7QMaGnpJAP9gaW5GX40Nl06CGYVl9MAPBxQ7Y0L1gcT/fjlJZzKKyN3Bmj4djYcKqB/OdpaSIsepcr8cSaMVkcl4aw2soqqaZv54UAb/cB3UnAntZQ4IgCHxPeLz0e2oRSMnGWzJ80xwiqkb+8/m1qY0PtYvmO5p56ujPwng1jnZWMqJGXcUPJZaQE+vOiydBpVG1YHEhqNpUhXPs+b4Ru7piBxJqD+80/XM7aHy+o1fTlB0BgZQGQqfCL22/gTtjssheytzmjepI653MBr21hY0b1IH8nS0lo0tTolU21AqY2jzyic+ktLYuhE9gZRGUIDGbnbSMtrSvAH9eiydPt8cTUpjpuabyotrNDsTD/VpSj1C3A29JFAhzn/uVZPn+PCPhxR7NKl083aelU0D7tHNJ0Xc6hHAmDRytpXdRxtLM9p6Jove3njK0EtSjcLSCpq6KJLySiqota8zfYyURlCQTk1c6d1hreX1l3/HKq4xgyoDCc5F5Ur4orJK6hDQEMWWoDM82OjTUW3Jw9GaYjLP0/9+OYF3W8+4fd47v2oeyl6+qwX1b+6F7wEYpdZ+znI6zhbuTqAf9qCF9K3ik51Hl0bJ/dfLyZrmTOhAtlZIaQRlGdnB/4rGDIeSlNOYQZWBxIebTtPRlAIZCPTFmHCyMFfl/yYYCa6/4YcDTqFbHpksfeNBP2Izz9Njy6OIa93Hdm5MU7oH4q0HozaoVSN6blBobQ0ftyqGm/fur6dpW3SWnPTMndCRvJ2RwgzKbcwwoLmmMcP0Hw5Sav4FUgLVPWH/fTqD5u48K6/5eJM76wDoWvdg99ohMy+tPSYtSEEfHdkOUUl5FXUNcqP/3d0SQyZBEbh74PBwX5l38PjyKJnADHW3fH8Szd+l+bz/dFQ7OfEBUHRjhvvaUZi3o0xj58YMPFjR2KkqkDhXcIGeXnlEXk/qFigt9wD05fH+IdQp0JXOl1VKMWVZJeoldOmtDSfpdDp3ZLOiL8a0k3Z6AEppIf32sFYUXNP68elVRxTZrcWQOPXj1fWX5kPd2bqRoZcEcMscrC1o7sQO8rl26lwhPb/mmNG3lzdTU57k48sOS7FVK18nevHOMEMvCUwMp9DxAy1PUuVWbh/8dsbQS1J1R7Yf92k7soWjQxMojp2VBX0zNoKsLTTF17N3aGYfwH/LKiqjmTVDJ+9o5S3T6wHUwq+hHX07rj1Z1LSX52Yixkw1gcSXf8XQ/oRcaf341Ri+OaPYCgzTmeXjEW3lNR+5/3kyA9+GepaYU0wv1HRke7hPMDqygWKFejtKSh776PczdDAx19BLUsS8GO6Qxyc5fKLz0ci2SGkEVXZyeuWu5vL6vd9O0544462lUkUgsTs2m77aEiuveex4E3d7Qy8JTNiAFl40pXsTef3s6iOUppCCKSXgdDGeVM/pYx0DG9ITA0IMvSSAWzK6oz/d3dZH6iUeW3aY8kvK8Y5ex7u/npJNQ0drC5o1vr2kggCo0cRugTSsppaK6wGN9VlC8YEEF6Q8vuKwdG0Z3cEfkyzBKLxwRxi18XOm/JIKegzDp+rN+7+dlrSxhjWTxdGRDdRQL/HOsFYU6GYnXVq49aOx50Qbyk9RKbRgl6Zl7iej2lJTDwdDLwlAp/cGni/RopET5RSXSzofNxkxNooOJLg47amVRyRfMsTTgd6oOSIGMDQrCzP6aky47JYdSMyjzzfHGHpJivf7ifQrHiI4jQxADRxtLOnrsRFkZW4m6ZA8YwKudCKtgF5cq0lp5JqI21t64y0C1bO1MpeTNx5ncCSlwChnVSk6kODitO3RWVKsxjdhDKEBYxLgZk/vDddMq/xmayztjMk29JIUKyWvhJ5dpenI9kDPJtQvDB3ZQF1a+TrTyzU50Zy+czQl39BLMhqc7vWg7MZWU+9mHvTEgGaGXhKA3vi72skJPDcXWbY/mZbtTzKqd99Mya3fPv5d0xWHTyK4aA3A2Axp60NjOvlL6t0TKw7L6RnUvbiS08MKSyuprb8LPTsQHdlAnSZ0DaCBLb2kGxHXAhWWVpCpk9qR5YcpOfcCNXa1oy/uayf99gFMSe9mHvTM7ZpBlq+vP0FRRjT5WpGBREFJBT26NIoqqy/S4DaN6L6O/oZeEsA1vTa4JTXzcpB6nqdWHka/+Dr65I9oOpSUT442FvT1mHBJGwNQa070h/dqBqkm5ZZIKo+p10t8vjlaMg94cvX397cnFzsrQy8JwCAe6tNUNhrKq6pp5pJDRjPIUnGfyHxTfX7NUSlK490JTh3hmy+AseKUO+4Xzx+EO2Ky6fvtcYZekmJsPZNJ32/TvF8f3ttGjngB1MzZzpK+GhsuPeQ3Hj0nqQymalt0Fn1d05Hxg3vbUAsfJ0MvCcBgGjRoQB+P5CYD9pReWEpPrjSOQZaKCySW7E2kTSfSydK8AX09NlyK1ACMXYjXpX7xvMOOfvH/LaOwVJopaFM+7sDkWjAREY0b0nODNGkMXFzJE25NzbmCC/RkTUfG+7s0RkdGANI0ZuBhdbwxySd1327VBNqGZKa0rg1vbTwlr58fxO01XQy9JIAbNqoD+sXfKE1P/SjKLS6X1ncv3akpQgUwFdN6BFHfUA8qq6yWHvLFZZVkKipr6qL4+m/p40Sv3NXC0EsCMBqh3o701j2t5PWnf0YbfFidYgIJvolyXUR5ZTX1D/OkqT00A78AlNYvPqCmX/xz6Bd/TV/8FUP7zmom1X8zjtPCMKkeTIuZWQP6ZFQ78nayobisYnp1/XEyFR//EU2RCXnSPluTForrH+ByIzv4070RfsSZTY8tjzJoIxfFBBKvrjtO8dnFclP9aGRb1EWAcvvFj4mQ1Lw/TmbQIvSL//dJ9X9r5m5gUj2YMld7K2n7yE2K1h5KpdUHU0jt/j6dcakuakQbCnS3N/SSAIzSW0Nbygw1DiKeWBElJ/mGoIhAgm+ea6NS5WbKN1W+uQIoVWs/Z3rxDm2/+NN0PLXA0EsyGnxD1E6q525s97TzNfSSAAyqUxNXeuq2ZrUbarGZRar9jvBJrbYuamLXALoTdVEA12RnZUHfjosgW0tz2hWbU7sBp29GH0jEZp6Xmyd7ckAzuakCKN3k7oE0oLmmjRvnP583ofzn60+q18za4Ha5rw/BpHoANrNPMPUIdqcLFVX08I9RVFpRpcp5MY8uPUT5JRXUxs+ZXqoZzgcA12/kwinT2pTgXbH6H3xr1IEE3yz5IYtvnt2autFDfYMNvSSAemzj1oZ8nG0oIaeEXvkJ/eK/2xYn7XG5GwXnRWNSPYAGD2D7dHRbcnewpjMZRfS/X06q7q35cNPp2nkxfP1bW6AuAuBGDI/wo9EdNINvH18eRZmFpaRPRh1IvL3xJJ1OLyI3eyv6fDSmWYK68GAlTtXjh4R1h9NolQnkP19LZEKudJ9gb97TSnZZAOAST0cb+RzksUnL9ifRz0fSVPP2/Hkyg+bsOCuvPxrRFvNiAOrof/e0pDBvR8o+Xy7F1/qslzDaQOJIcj4t2Zskrz8d3Y48nWwMvSSAetch8FL+81u/nKSCCxUmmdL00tpjcuMbFu5LI9v7GXpJAEapR4g7PVJzMv/6+uNUUq78lMiyyip6Zd0xeT2lexMa1Mrb0EsCUBwbS02HQzsrc9obn0tr9LgxaUFGqq2/C302ui0l5Vyg3s08DL0cAJ2Z2bspJWQX032d/MnZ1tIk21zOntCBPv7jDL01tBU6sgFcx+P9Qyg17wJN7BYoxZZKxylMCyZ1olnb4+iFO8IMvRwAxWrq4UDvDW9NCdkldK8eN+QaXLzIWVW6UVhYSM7OzlRQUEBOThhtD2DK15lS1gmgZEq5zpSyTgAlK9TDdabT7QxtjML/IwCgG9rrS4d7AvUC9wMA3cP9AAD0eT/QaSBRVKTpd+3v76/LPwYAaq433nkwVrgfAOj3esP9AAB0fT/QaWpTdXU1paWlkaOjI/KeAXSEL2G+Sfj4+JCZmdH2T8D9AEAPcD8AAH3eD3QaSAAAAAAAgDoZ7/YlAAAAAAAYLQQSAAAAAABQZwgkAAAAAACgzhBIAAAAAABAnSGQAAAAAAAABBIAAAAAAKB7OJEAAAAAAIA6QyABAAAAAAB1hkACAAAAAADqDIEEAAAAAADUGQIJAAAAAACoMwQSAAAAAABQZwgkAAAAAACgzhBIAAAAAABAnSGQAAAAAACAOkMgAQAAAAAAdYZAAgAAAAAA6syCdKi6uprS0tLI0dGRGjRooMs/CsBkXbx4kYqKisjHx4fMzIx3bwD3AwDdw/0AAPR5P9BpIMFBhL+/vy7/CACokZycTH5+fkb7fuB+AKA/uB8AgD7uBzoNJPgkQvs/4OTkpMs/CsBkFRYWSsCuvd6MFe4HALqH+wEA6PN+oNNAQpvOxEHEzQQS1dUXycwMKVEAdbnejNWt3g8AoO7Xm7HC/QBAHfcDnQYSt5rXdfvn26mRsw31CvGgns3cKdQLtRYAavTBptO05XQmhXo7yo8wb0dq5uVIvi62Rv9ABAC35oU1R+lYagE1drWTH/6udhTgpnnt42JLlubGW/sFYOqMNpBIzCmh2Mzz8mNHTDbRr0ReTtbUk4OKEHf52dXeytDLBIB6cCylgE6nF8mPyzlaW1CzmuCCNxK0QYaLHa59ALU4da6QTqRpflyNkxJ8G9pSM09HCpF7gAOFeDpSsKcD2ViaG2S9AHBJg4u89a/D3CxnZ2cqKCiocyoDLysu6zxti86m7dFZtO9sDpVWVNf+c96kbO3rrDmtCHGniICG2LUAk3Qr15mxrDMt/4I8THAgcSa9iKIziuT6r6j699sTbyrwiQUHFaHeTtTWz1keLHB6AaZOifeDrDIzSsgupqTcEvmRnFsim4n8uqzy0uf+1QFGoJu93Ada+zlTO38X+dnJxlLv/y8Apnw/MNpA4mqlFVV0ICGPtsdkSWBx9c6lg7UFdW3qRr1C3KlXMw8KcLO/xdUDKIMSHxxuZJ3lldV0NruYTqcXSmDBAQZf9yl5F/7133d3sJZ7QLeaH5wWgcACTI2a7gf8eJJVVEbx2cUUk8EbDOfpjPxcRPklFf/63wR52FNbPxdqUxNctPJ1xiYjmKxCBBLXlllYSttjNKcVO2OzKbe4/Ip/zvmV2tOKbsHuEmgAqJGaHhxuxPmyytrAgn/wScaRlPwrTiwZ11d0CaoJLILdqJGzbT38XwAYN1O4H0iAcb6MotPP117//CM595+bDHZW5tQ+oKHcC7oEuVJrXxeyskDNBZiGQgQSN97diXMrtacVBxPzqLL60kGLhVkDSX3Snla08nFGNyhQDVN4cPgvZZVVdDgpn3bH5dCe+ByKSsr7R1pUE3f72sCCTy74BANAbUz5fsAbihxQHE0ukJ/5PpB31cmFjaUZdQhwlaCidzNPaunjhOcBUK1CBBI3v2O5Jy5HgoodMVmUkFNyxT9vaGdJPUI8agMLLyebevmGARiCKT84XMuF8io6kJirCSzicuhoSj5dtrcguHibA4qBLb2pUxNXMkeraVAB3A+u3GSMziyivXE5tO9sLu2Nz/lHYOHuYCUBRd8wD+oZ7EHOdqixAPUoRCBRP5JySmhbTBbtiM6SBwsONC7HBZs9a4KKjoGu6AQBioIHhxt4j0orKPLspcDi5Lkru8Pw6cSdrb3prtaN5B6A+TWgVLgfXD+wiMk8LwEFp0Tvjs2m4vKq2n/OmwkRjV2oT6inbDBwAwcAJStEIFH/KqqqKSopv/a04mhqAV1ebm5tYUadgzRF2/2be0k6BIAxw4PDzaVA7IvPoS1nMun3ExlUcOHSLqWnIwcVjWhwm0YU0bghggpQFNwPbhw3dDiQkCv3gS1nsqTd/OVCPB3ojtaN6I5W3rLhiOYNoDSFCCT080DBOxN8WsE1FhmFZVf8cz6pmNKjCfUO8cADBRglPDjc+sPErrhs2nj0HP1+Ip2KSi+dWPJATA4q7mrTiML9XfAgAUYP94Obx21nt0Zn0eaTGbQ7LvuKOiveVBzUyluCCm49j6AClKAQgYR+cScIbi/HJxXborNoV2x2bV51Uw97mty9Cd0b4Ue2VhiCA8YDDw71W7TN1/2GI+foz5MZVHRZGiR3gZL0pzY+MrcCDxJgjHA/qB98SvnXqQz67Xi6PA/whoNWkLs9DQ33paHtfKmxm109/YkA9Q+BhBHsTizcnUArIpNr6yqcbS1pbOfGNKFrANpJglHAg4Nu8OyaHTF8UpEmQcXludR+DW3pnnY+dF/HxuTvigcJMB64H9Q//vzfcjqTNh1Pp79PZ9KFikv3gg4BDWlYhK/UV7nYWengTwe4eQgkjERRaQWtOpAiQQVP2tS2lOWUB0574qE3AIaCBwf9BBVbz2TRxmPnZJeypCaoaNCAqE8zDxrXOYD6hnmi8xMYHO4Hug8qfj+eTj9FpUpKpLbG0srcTDo/jergT72beZCFOWZVgOEhkDAyVdUX5SFi3s6z0kpOi4fdTOnehAa29MLNA/QODw76xa1leVdyeWSSnFho+Tjb0JhOjWl0J3/ydERLaTAM3A/0J72glH4+kkprD6XS6fSi2l/3drKhUR38aFRHf/JriBNLMBwEEkbseGoBLdiVIDcRbUEW51BP7BZAozs2lhQoAH3Ag4PhnM0upmX7k2jlgWTKr+lPz6eVt7f0ovs7B8icCtRSgD7hfmAYPGF7zcEUWnMopXZWBZ9Y9grxoDGd/KULpCVOKUDPEEgoQGZRKS3Zm0Q/7k2knOJy+TU7K3Ma2d6PJnVvgvaxoHN4cDCO1Kffjp+Te8HBxLwrijK5pmpEez/kT4Ne4H5g+IYN3FJ6+f4kmVtz+awaDig4DdLbGSeWoB8IJBT2IPHz4TSav+ts7REn70b0C/WkqT2aYGcSdAYPDsa3M/njvkT66VBqbYE2z6cZ3MaH7u/SWGqqcEoBuoL7gfFIyC6mFQeSpcYy+3xZ7YnlwFbeNKlboBRq414AuoRAQoG4hSzvQszfeZb+Op1Z++s8zIYLs+9u64PJ2VCv8OBgvEWZ6w+nyikFBxdaLX2cZHNhSFsfpDpAvcP9wPjwIFzu/MYNW/ZfVl/ZopGTpEPf084XzwWgEwgkFC4+67zcOHg3Qtsuzt3BSo427+8SQB6O1oZeIqgAHhyMf3MhKjmfluxNpA1Hz9X2o+eaKg4o7uvkT3ZWFoZeJqgE7gfG7WRaIf2wJ0G6PpXV3Atc7CxpXOfGNLFrIHk6Ie0J6g8CCZUoKKmQDi+LdidQWkFpbas43pGc0iOQWvo4G3qJoGB4cFCO/JJyWro/iebvTKhNdeCHCH6AmNgtkFzt0Ycebg3uB8q5F/CMqh/2JFJq/oXa54Kh4T70QM8gCvFyNPQSQQUKMdlaXSqrqmnTiXRJezqUlF/7612CXGlqjyDqhz70cBPw4KDMmiru7jJ7ezwl5mhm09hamtPojv40rWcTtIyEm4b7gfLayv95Mp3m7Dh7RaOGvqEe9ECvIOoahM5vcPMQSKhYVFIezd+VQL8eOyc3EhbgZicFWCM7+JODNVId4MbgwUG5+Nrnbk/fb4uj46maOgpzswZSSzWjdxCFeTsZeomgMLgfKNfBxFyas/0s/X4yvXbQHddUPdi7qQzA5XsDQF0gkDABafkX5GiTe9EXXND0nna0tpC86em9mqKOAv4THhzUUUexKzZHAoqdsZeG3PEpJT9EdAxEdxe4MbgfqKPbEw++XXUwmUorNHUUTdzt6cHeQTQs3I+sLDA1G24MAgkTUlJeSWsOpdKCXWcpPqu4dh7FtJ5B9EDPJuRogwF38O/w4KAux1IKJKDgk4qaw0qKaOxCM/sEU/8wTzLDriRcB+4H6pFbXC6F2dy0RTvwspGzjdRQoEkD3AgEEiaouvoibYvOos83R9ORlAL5NS7AfLhvsPSgt7YwN/QSwcjgwUG9u5Kzd8TT6oMptZ2emnk50OP9m9EdrbwRUMC/wv1AfYrLKiVrgWuqMos0TRoa2lnSlO5NaEK3QHK2xUYj/DsEEiae6rDpeDp99PsZis8urm0X+dRtzWhouC9yJaEWHhzULbOolBbsSqAlexKpqKyydi7NEwOa0cCWXhhoBVfA/UC9eGr2moOpcmKZlFtSmwo9uXugzKlysUPXN7gSAgmQTk+rDqbICUVGoWYnItTLkZ4dGEr9m3viIQLw4GAiCksrpOPbvB1nawMKLsTkgGIA7gWgx3aPprROY30u2HjsHH2zJZaiM87Lr3GDFm7WwrNpGqKNNNRAIAFXtIvkPMlvt8RSYanmIaJDQEN6/o4w6hjoinfKhCnlA1kp61TCXJp5O+Ol6xtPz2atfZ3pydtCqG8oNhdMnVKuM6Ws09hToX8/kU5f/BVDp9OL5Nfsrcwl3YnrKDCXBgoxRwL+7SHi++1xUpSt7ebABZjPDgpFq0gTpZQPZKWsUynyistpzo542WAoKa+SX2vr7yLpj71C3HFaaaKUcp0pZZ1KCSj+PJVBX/4VQyfSCmubtUzoGkjTeyGgMGWFCCTgWjIKS+nzzTG08kCy9KJv0IBoWDtfevK2ZuTvaoc3zoQo5QNZKetUmpzzZVKU/cPuRLpQoQko2gc0pCcHNKPuwRhmZWqUcp0pZZ1Kq63861SmnFAcSy2oPaHg+olpPYLI2Q5F2aamEIEE/Jf4rPP0yR/Rki/JrMzNaFyXxvRI32Byc7DGG2gClPKBrJR1KlVWURnN2hZHi/cmUllNlyeeP8GbC5iOazqUcp0pZZ1KDSj+Pp1Jn/4ZXXtCwUXZU3s2kaDCCe3kTUYhAgm4UUdT8unDTWdqh1nxLsQDvYJkDgWmZKubUj6QlbJOpcssLKXvtsXRj/uSatvGdm7iKg0aOqCeSvWUcp0pZZ1KDyh+P5EhzVq0NRTcKpbTnSZ2C8SzgQkoRCABdbUzJps+2HS69ljTzd6KHukXTGM7YwaFWinlA1kp61SL9IJS+nZrLC3fn0zlVdW1k7KfuT2UWvjg/VcrpVxnSlmnWmoofjueTp9tjqbYTE2XJy7EfqhPU7q/SwDZWGI+lVoVIpCAW7lpfPzHGTpbM4PCr6EtPX17M7qnrS8GWamMUj6QlbJOtUnLv0Bf/c31VCm19VRD2vhIUXagu72hlwcmep0pZZ1qwtf/hqNpUl+pfTbwcrKmR/uF0KgO/mRlYWboJUI9QyABt6SiqlqKsb/YHFM7DZMHWT03KBRtIlVEKR/ISlmnmuupOGd6w1FNPZWFWQMa1dGfHu8fQl5ONoZeHpjYdaaUdap1DsXaQ6lSlJ2af0F+zd/Vlh7v34yGYeCtqhTiRALqw4XyKlqw+yx9tzWOimpmUHQKdKXn7wil9gGYQaF0SvlAVso61e54aoGcVm49kyVfW1uYySCrmX2aYjKuCijlOlPKOtU+KZtTH7/eEivNGlhTD3t66rZQuqOVN7IXVKAQgQTUp/yScinCXLgrobary4DmXnJC0czLEW+2QinlA1kp6zQV+8/m0oebTtOBxLzari4zegfR5O5NyN7awtDLA5VfZ0pZp6lsNv6wJ0GeD/JLKuTXWvo40TMDQ6lPMw/MpFGwQgQSoAvnCi7I4JrLc6aHh/vJZFy/hphBoTRK+UBWyjpNravLljOZ0vFN29XF3cFK2kePQYMGRVLKdaaUdZqSotIKmrvjLM3beZbOl1XWtpB+dmAYdWqC7AUlKkQgAbrE3Rs++eOMFGZrZ1CM7xpAD/cNlo4OoAxK+UBWyjpNtUHDL0fTpIYiMadEfs3XxVZmUCBnWlmUcp0pZZ2mKLe4nL7fFkeLdl/KXujdzENaSLfydTb08qAOEEiAXhxOzqcPfjtNe+Jz5GueO8F9pqf2QIqDEijlA1kp6zRl2gYNfGKZUajJmQ7xdKCnbw+lgS29kOKgAEq5zpSyTlNvIc0d31ZEJlNl9UX5tTtbe0vHt2BPpEMrQSFOJECfKQ47amZQaCdhujtY02P9g+m+jo3RFs6IKeUDWSnrBKLSiirZjfx2axwVXNDkTLf1d6HnBoZS92B3vEVGTCnXmVLWCUSJOcXSMnbd4VS6eJHIjNOhI/yk45u/K9KhjRkCCTBIisPGY+ck5SmhJsWhsaudzKDg3vNmfAcBo6KUD2SlrBMuKSytoDnb4yVnuqS8Sn6te7Cb5Ey383fBW2WElHKdKWWdcMmZ9CJ5NvjjZIZ8bWnegMZ2akwP9wsmT0e0kDZGCCTAoCkOyyM1KQ7atnDNGzlJhyd0cTAuSvlAVso64Z/4HvDNllhaui+pdko2pzrxlOwQdHwzKkq5zpSyTvj3dOiPfz9DO2Oz5WtbS3Oa1D2QZvQKQgtpI4NAAgyupLySFuxKoO95BkVNF4fOTXgGRRhFNG5o6OWBgj6QlbJOuLaUvBJJcVh7KIU4ZZoPKIeF+9ETA5DiYCyUcp0pZZ1wbbtjs+nD389IYMEcbSzogZ5BNKVHE6m1BMNDIAFGI6+4ZgbF7gQqr+nicHsLzQwKFF0ZllI+kJWyTvhvMRlFMtTu9xOXUhzGddZ0fPNwtMZbaEBKuc6Usk747/rKv05lyv1A20Kauz7O7N1UukDaWJrjLTQgBBJgdNLyL9Dnm6Np9cFLO5L3RvAMimbk42Jr6OWZJKV8ICtlnXDzKQ52VuY0pXsTmt47iJxsLPFWGoBSrjOlrBNuvL5yw7Fz9Pmf0RSfXSy/5uloTY/2C6bRaNhiMAgkwGjFZhbRR79f2pG0sjCjiV0D6KE+wdQQMyj0SikfyEpZJ9TdrpoUhyM1KQ7OtpY0s09Tmtg1kGytsCOpT0q5zpSyTqibyqpqWhuVSl9sjqHU/Au1M2keHxBCw8N9ycLcDG+pHiGQAKMXlZQnLWP3xufK147WFjSjtyZH0s4KOZL6oJQPZKWsE24+xYE3FrirS0zmefk1TnPiFIexnRsjxUFPlHKdKWWdcHPKKqtk/sRXf8fWNmwJdLOTgOLutr5kjg6QeoFAAhTzALEtOos+3HSGTp67NIPicZ5B0akxWWIHQqeU8oGslHXCramqvkg/RaVKCmRKnmZH0svJWk4r7+vkT9YWOKHQJaVcZ0pZJ9yaC+VVtHhvAn2/LV4mZrOmHvb0xIBmdFfrRmgpr2MIJEBxOZK/HE2jT/6IpqRczQyKADeeQRFKg3HDIFP/QFbKOqF+cFOGNYdS6Ou/Y2tTHBo520hB9qgO/hhyaeLXmVLWCfWjuKySFu1JoNnb4ym/RDPkMtTLUTq+DWzpjYBCRxBIgGIfIFZEJtEXf8VS9nnNkWZLH55BEUa9QtypQQMMtTPFD2SlrBPq/36w8kCyBBTphaW1OdOP9AumEe39cGJpoteZUtYJ9auotIIW7kqgOTviqbC0snZG1WP9ghFQ6AACCVD8DsT8nWdp1vZ4Ol8zg6JLkCs9PyiMwjGDwuQ+kJWyTtCN0gpNzjQPtsusyZn2d7WlR/uhCNMUrzOlrBN0o+BCBc3beVaeEbTPB3xC8Wj/YLqzFVKe6gsCCVAFzov8dkss/bAnsXYq7qCW3vTMQJ5B4WDo5SmeUj6QlbJO0H1AwROyv90aV3tiySmQj/ULoXva+aCri4lcZ0pZJ+hWfkm5BBM8+FY79DbE00FOLAe38UFR9i1CIAGqwnnSn/0ZfcVU3JHt/emJ20KokTNmUKj9A1kp6wT9FWEu2ZtI32+Lo5yaIswgd3t6rH8IDWmLBwi1X2dKWSfo74RiwS7NCYU25YmLsjmgGNIGGww3C4EEqFJ0hmYGxZ8nNTMorC3MaFK3QOk772JnZejlKY5SPpCVsk7Qr5LySjmtnLUtjvJqijCDPOzpwd5NaWg7XxRlq/Q6U8o6Qb8Ka2ooOO2JgwttCuSMXk2lpgqTsusGgQSo2sHEXPrgtzO0P6FmBoWNhTw8TOwWSA7WmEGhtg9kpawTDIPzpBft1nR10T5AeDvZ0NQeTWhM58a4J6jsOlPKOsFwRdm8wcAnFNoTS55LM61HExrXJQD3gxuEQAJMYgbF1jNZMtTudHpR7VC70R39JaDwd7Uz9BKNnlI+kJWyTjD8A8Sy/Uk0d8fZ2qJsJxsLmtA1kCZ1D5QZNaD860wp6wTDp0ByF0jeYEgr0HR9c7a1lOcDzmRwtUcWw/UgkACTmkHx85E0+vLvGIrPKpZf4xoK7i/NU7I7BDRE21iFfyArZZ1gPJNx10WlStc37T2B0yB5BsUDPYOosRs2GZR8nSllnWA8baTXH06l77bF1d4PbCzNpM6STy0D3e0NvUSjhEACTDKg2BaTJceZO2Kya3+9jZ8zTenehO5s3Qg50wr9QFbKOsH47gl/nMyQB4gjyfm1mwx3tfGhB3sHUUsfZ0Mv0ago5TpTyjrBuFRVX6TfT6TTt1tj6Xhqofwaj6Ya2MKbHujVhNoHuBp6iUYFgQSYtDPpRdLFYW1UquxGMC8na0lxGNupMTXEkaaiPpCVsk4w3jTIvfG5ElBsj86q/fVezTwkoOga5IZTSwVdZ0pZJxjv/WBPfA7N2R5PW85cuh9ENHah6b2C6LYW3mgdSwgkAETO+TLpO//D3kTKqsmZ5hSH4RF+NKV7IIV4OZr0O6WUD2SlrBOM34m0Apq1LZ42HE2TVtKsrZ+zdH4z9QcIpVxnSlknKKMT5Nwd8bQuKq12VhV3eprYNZBGdvCXmgpTVaiH66zBRQ7rdAQ3CqhPfCqx8ViatIXTHmlqdyQ5oOjdzMMkdySVcp0pZZ2gHEk5JTRnRzytPJBMZTWnln4NbWlMp8ZSS8FdXkyNUq4zpawTlCOzsJQW7UmgJXuTaju/2Vqa07AIXwkqQr1Nb9OxEIEEwD9x7BuZkEfzdsZL7rQ2FOYp2ZO7B9LwcD+ytTI3mbdOKR/ISlknKA9PyObWsdwuUvsAYWneQJo13N8lgDo3cTWZTQalXGdKWScoczYNn07wPeFMhqYbJOP0R+72NKC5J1mYm5EpKEQgAfDfO5K8A7EiMln60DMXO0upoeBaCm9nG9W/hUr5QFbKOkG5SiuqaMPRczIx+3BNYbZ2k2Fc58aSDqn2NAelXGdKWScoe9Nx39lcCSh405ELtZmPs42kPI3q6E++LrakZoUIJABuvPf8qgMptGD3WUrOvSC/ZmHWgO5q00i6PbX1d1HtW6mUD2SlrBPU4XhqAf24L0laRpaUV9W2i7y7rQ+N6xyg2nuCUq4zpawT1CEt/4JsMCyPTKbcmgF3fEjJKdH3dWxM/Zt7kqUKTykKEUgA1A3vOGw+lSHtY3knQqt9QEPpNX17Cy/VHWkq5QNZKesE9W0y8DwKzpu+PM2hta+znFLc3c6H7KwsSC2Ucp0pZZ2gvvk0v5/IoGX7kqTrkxbXU41o70ejO/iraiZFIQIJgFvbkZy/6yz9ciSNKqo0R5p8jMnTMPlIUy0pDkr5QFbKOkG9aQ4HE/PklGLj0XO13V0crS1oeIQvje0coIpiTKVcZ0pZJ6hXQnaxnFCsPphM2ec1pxTaFrLDIvxocOtGim8zX4hAAqB+OjnwkeaSfUm1R5p2VuY0sr0fTerehJoofPdBKR/ISlknqB/fB1YdSKal+5MoMaek9tdDvRwlHXJwm0YU5OFASqSU60wp6wT1q6iqpr9OZdCy/cm0IyartqU0N2zoE+pJw8N9qV9zT7K2UF4Tl0IEEgD1W4jJ+dLzd17q5MA5kv3DPKWOomtTZQ60UsoHslLWCaY1NXtXXLZsNPx9OrP25JI1b+QkAcVdrRspKtVBKdeZUtYJprfx+PORNPopKpVOpF1qM+9kY0F3tGpEd7T2pm5N3cnKQhkp0oUIJAB0k+KwKzZH0p744UErzNuRhob7Uq8QD2reyFExQYVSPpCVsk4wTQUlFfTHyXTaeOwc7YzJpkrttiQRtfJ1orta+0hQ0djNjoyZUq4zpawTTHvQ3dpDqbIBea6g9IqgYkALLwkseoa4k42l8Z5UIJAA0LG4rPO0cFcCrT6YQhcqNJ1dtIVXPYPdZdhdjxB3cncw3sFWSvlAVso6AfJLyumPExn0y9E02h2XU9s2krXxc5aTijtbNyK/hsYXVCjlOlPKOgH45HLv2Rz69dg5KdTOKiqrfVPsrcypX3MvGtjSi3qGeBhd7SUCCQA97kauO5xKW89k0t743CuCCu2OJJ9U8I2CO0AZ07GmUj6QlbJOgKvrKX4/kS4F2rvjsmvzp1k7fxcJKvqFeUqtlTGcYirlOlPKOgEux5sKh5LyJKjYdDz9ipMKc7MG1L5xQ+od6kF9Qz2NIrMBgQSAgdrDHUzIo20xWbQ9OptOnbuUJ6ndgeB6Cj6t4MAi0M3OoDcLpXwgK2WdANeboM0PDxxU7Dubc0VQ4e1kI/cF/tGtqZvBTiuUcp0pZZ0A1zupOJKSL/eEv05nUmzm+Sv+uZeTNfVp5inPCl2CXMnNAJkNCCQAjEBmUankTG+PzqIdMdmUU9P5Scvf1bb2tKJbsBs52ej3aFMpH8hKWSfAjd4Xfj+eTr8dT6cDiXlUXqlpJ6vV2NWOuga5yT2Bf/Z0stHLG6uU60wp6wS4Ucm5JbQ1Oou2ns6UJg6lFVfeE5p5OVCXIDfq3MSNOge56iVlGoEEgBHuQJw8V0jb5bQiS/rSX97phY82uQc1Bxa8C9HK11l+TZeU8oGslHUC3ExHuEOJeVJPwelPR1IKrqirYMGeDprAoqmbPEzoqj+9Uq4zpawT4GbvCfvP5kpDlz1xOVcMw9QK8XSgjk1cqZ2fC7X1d5F7RH0/LyCQADByxWWVtDc+R4KK7THZdDa7+Ip/3tDOkrrXFG1zcOHtbGOyH8hKWSfArTpfVkmRCbnyAMGBBbeRvHhZXMGZkM29nahTE1dq0ciJmnk7ym5lfUzYVsp1ppR1AtRXrdX+szlSg8nPDKfT/xlY8Hwr3nxs6+dMbfxcqLWvs5xsmt1CcIFAAkCBR5va04rdsTlUVFZ5xT/nhwXtaQU/RNRH2zilfCArZZ0AuugCpX2A4MAiOuPKXGptcMEPDTwUjyds8w9uSR3oZk8W5maqu86Usk4A3QUWuRSVlCd1FsdSCqi4/MomL8zW0lxOKprJfcGBQvhnL0dq5GxzQ7WZCCQAFD4t80hyvgQV22Ky6WhK/hW7ktYWZhJM9ObTimYecsx5M0XbSvlAVso6AfRRX8GBxeGkfDqTUUhn0oso+/yVtVdaVuZm1NTTQYIKCTBqAo1rPUgo5TpTyjoB9KGq+iLFZ52nw8n5dDSlQIILPrW4uvbq8qYv/q52svkgP9zsar/2a2hbO4UbgQSAiuQVl0sBlqRBRWdTeuGltnGMuz/9/XSfOh9jKuUDWSnrBDBUR6jo9CJ5eOBBWNqfS/5ll1J7uvnHk70Ve50pZZ0AhlJZVU1JuSVyH+BTTK6ziMkoovis4isGZl6N9xd+nNZZJnDr4zq79YRMALghXFw5uI2P/ODp2twqbltNbcW++BzZTbiVXEgAUC7u4OIebE3dgt2vaO6QkndBHiDOpBfWBhf8INHI2dag6wUA3eKUxiAPB/kxqNWlX+dTipS8EkrMLZF06qScEgk4tD9480Gf9wcEEgAGwCkJnOvIP6b1DJIOD1e3lQUA08YbC5yywD9ua+F1xaybwgtX1l8BgGmwsrgUYFyNNyn5WaKhnW66wv0bBBIARoCLrn1dsMMIAP+N8589HG+9UQMAqG+T0l3Pg+90GkhwZMQ4RwsAdEN7fWmvN2OF+wGA7uF+AAD6vB/oNJAoKtL0yfX399flHwMANdcbF1UZK9wPAPR7veF+AAC6vh80uKjDMKW6uprS0tLI0dHxptpaAsB/40uYbxI+Pj5kZnbj/eb1DfcDAN3D/QAA9Hk/0GkgAQAAAAAA6mS825cAAAAAAGC0EEgAAAAAAECdIZAAAAAAAIA6QyABAAAAAAB1hkACAAAAAADqDIEEAAAAAADUGQIJAAAAAACoMwQSAAAAAABQZwgkAAAAAACgzhBIAAAAAABAnSGQAAAAAACAOkMgAQAAAAAAdYZAAgAAAAAA6gyBBAAAAAAA1BkCCQAAAAAAqDMEEgAAAAAAUGcIJAAAAAAAoM4sSIeqq6spLS2NHB0dqUGDBrr8owBM1sWLF6moqIh8fHzIzMx49wZwPwDQPdwPAECf9wOdBhIcRPj7++vyjwCAGsnJyeTn52e07wfuBwD6g/sBAOjjfqDTQIJPIrT/A05OTrr8owBMVmFhoQTs2uvNWOF+AKB7uB8AgD7vBzoNJLTpTBxE3EwgsTc+h6qrL1K3YHcdrA7AeKyMTKZuwW7k19Dupn8PY08fvN79ILOwlP48lUFjOjYmMzPj/v8AMLRfj52jIA97CvN2UsX9IKnoIqXlX6DbWngZ/boBjFl6QSn9fTqTxnZufMWv6/K60mkgcStOphXSlIWRVFV9keZM6EC9mnkYekkAOjF3Rzy9vfEU+bva0oZHepKznaXJ5XC+uPYY/XU6k347lk4fjGhDvi62hl4WgNHJKy6n134+Qb8cSaOWPk607uHuZGluvHVRN+rdX0/R7rgcCm/sQs8ODKVuTbF5CFDXe8P32+Jo4e4EKquspla+TtTGz4X0wWjvQLzb0iXITd6QaT8coK1nMg29JIB6N2tbnAQR7O62PuRka7SxvU71CHEnG0sz2hmbTYM+2y4nNBxgAIDG5pMZdPvn2yWIMDdrQH1DPUkNl0hlVTW183chW0tzikrKp7Fz9tH4efvoaEq+oZcGYPSKyyrpy79iqNeHW2jW9nh5Zu4Q0JDM9Hiy1+CiDj+tOTfL2dmZCgoKbiq1qayyih5ZGkV/nswgK3Mz+n58BPUL89LJWgH07ZstsfTR72fk9WP9Q+jJASE3dfx4q9eZvvzXOuOzztMzq47QoSTNA0TfUA96/9425OVkY4DVAhiHwtIKevOXk7T6YIp8HezpQJ+MbEtt/V1UdT/ILCqlb/6OpaX7k6iiSvNYMqilNz0zsBkFexp3/ReAvvHz8Y97k+Q5Iqe4XH6teSMnenZgM9lk0D5L6ON+YNSBBCuvrKbHlkXRphPpZGnegL4ZG0G3t/Su97UC6NMXm2Pos83R8vrJAc3o8QEhN/17KfXB4d9IKuOOePr0j2gqr6omZ1tL+t/dLemedj7InQaTsz06i55fc5TOFZQSPxc80DOInrqtGdlYmqv2fpCcWyL3xp+iUuXEhUum7o3wo+cGhZGHo7VB1wxgaBcvXqT1h9NkEzI1/4L8WqCbHT11eygNbt3oHzWGCCRqVFRV0xPLD9PGY+fIwqwBfT02nAa1aqT/7yBAPdwEPvszmr78O1a+5nzgh/sG39LvqfQHh38TnVFET688QsdSC+TrgS296J1hrcndAQ8SoH7nyyqlbmDpviT5OsDNjj4e2ZY6BrqazP2A7wEf/36G/jiZIV83tLOkN+5uKSmgKMgGU5SWf4Fe+ukYbT2TJV97OVnT4/2b0cgOfteslUIgcVUe5VMrj9DPNfmhX94XTne1QTABygoiPv7jDH2zJU6+fvGOMJrRu+kt/75qeXD4tw2E77bGSf5nZfVFcrW3oneGtqI7WuO6B/XaE5dDz64+Qil5mt3GiV0D6Pk7wsjOysIk7wdRSXn08k/H6eS5Qvm6f5inbCp4OyPlEUzn2WHZ/mTZXOBNBk71f7RfMD3QK+i6p5MMgcS/pD08u+oIrY1KlWDi01Ft6Z52vrr8/gHU243g/U2nada2ePn6lbua07SeQfXye6vtweFqx1MLpHbidHqRfM07km/e05Jc7Kx0uFoA/bpQXkUf/n6aFuxKkK+5c9lHI9rUuf25Gu8HvKnAjSm+/CtWUh4drS3olcHNaVQHf5xOgKol5ZTQC2uPSlczxp3N+L5wo3VD+rgfGG3Xpn/DwcNHI9vSiPZ+ElQ8ueIw/RSlKUADMOYggjszaYOIN4a0qLcgwhS08nWm9Y90p4f7NpV8aT6VvO2z7fTXKU3KA4DSHUzMozu/3FEbRIzp5E+bnuiJGUo1OG3jkX4htOGxHlJkXlRWSc+vOUbj5+2XmgoAtamuvkgLdp2lgZ9vlyCCuxq+OrgFrX6wm9E1HzD6YutrvcGcJ7Y8MlkK0D68tw2N7OBfb78/QH3hy+t/v5yU3s7sraGtaHyXgHp9g9W4A3kth5Pz6emVhykuq1i+5k2F14a0ICcb05q9AepQWlElhcVztsdT9UVNzjN3KuOuKzdL7fcD3kScv/OspIlyq0s7K3N6d1hrGhqO7ARQh8yiUnp0aRTtO5srX3cJcqUP7m1DAW72df69cCJxDVyVzjeOcZ0bS1eH59YcpeX7NUVpAMaCA95X1x+vDSLeG9663oMIU8P95jc+1pMe6NlENhG4JebAz7bTrthsQy8NoE5OpBXQkK92ykklBxHDw33pjyd631IQYQo4M4Fzwzc90Ys6BbpSSXkVPbHiML2+/rh0eQRQssiEXLrry50SRNhbmdPbQ1vR0mldbiqI0BdFpTZdHUzwG8yFaBxMvLD2GC3Zm2joZQHUBhEvr+O/k0maU7MRbWhMpytH1sPN4eKyl+9qQStndJVuNtwac8L8/bSmps8+gLHbEZNFI7/fQzGZ58ndwYpmj29Pn45uZ3JT7W9FE3d7Wja9ixSdskV7Eum+2XsovaDU0EsDuKnshXk7z9KY2Xspq6iMmnk50C+P9qD7uwT8o6WrsVFsIMG4BRy3g5vSvYl8/cq647SoZvcXwFD46J17v3OXBb7+eXgUFwVC/eJWmL893pOGhfvKe/70qiM0d4emDgXAWPFk6ikLI2UnvUewO/3xZG/MRrqF04mnbw+luRM6kKONhQyzHPzVDul8BaCk6dSPLouitzaclA6F3FBk3cPdKcjDgZRA0YGENph4dXBzmt5LU7z6+s8nJKoDMATpLLb6CK06mCJBxGej29HwCD98M3SEW2JyoDath2YzgYva3//ttOzuABibH/Yk0GPLo2Ry8+A2jWjepA7S1hhuzYAWXrTh0R4y2Tf7fDndP2+fdHnCfQCMXWzmeRr6zS7acFQzJ42bsXxxX7sbbvdsDBQfSGiDCe7JP7OPpic/R3VcvAagT5pZJ4dp7SFNe+Iv7gtHe2I94GPfl+9qTi/cESZff78tTk6E+PsBYEyDKF9bf0JScSd0DZD7g7XF9XvAw43jHPK1M7vR8AjNCeV7v52mmUsOSd99AGO06Xi6BBGc4siNFlbM6EKTunP9n3GnMqkykGD8xj83MJQeq8mXfOfXU/TtVs30YABdk+nrKw7L6HqZvj4mnIa09cEbr8fr/8HeTaWDG58ErTyQQjN/PCRdcQAMiR9qOYD44q8Y+fqJASH0v7tbymYD1C9bK3M5oeT6SUvzBrTpRLrUTXAXHABjMndHPD245KAEup2buNKGR3tS+4D/nlxvjFQTSGgfJp66PZSeHNBMvv5w0xn6qubmDaDLIOKxZVFyNMkfXt+Oi8D0ZQMZ1dGfvru/PVlZmNGfJzOkCLuwtMJQywETV1ZZJalMi/cmStOFt+5pSU8MaKa4HUcl4feWC1RXzOhKbvZWdDy1kIZ/u5viss4bemkAxI1Y3vzlpKThMm4Y9OO0zuThaK3Yd0dVgYTW4wNC6JnbNcHEJ39Gy5EyciVBF7jd4MM/HqLfjqfL2Prv72+PwkkDG9jSm36Y0kmm3+4/m0ujZ+3FjiToHe80Tl14gDbWbDB8NSacxncNxHdCTyIaN6S1D3WjQDc7Ssm7QPd+t5sOJGj68gMYQmlFFT2y7BDN36Wp433pzjBpGGRhruxHcWWv/jp4CqY2Z5qPlD9FMAE62G186MeD9MfJDNkBnzWhPfVv7oX32Qh0CXKj5TO6kLuDNZ06V0gjvttDiTmaIXYAupZzvozGzdlLO2OzZWDa/EkdaXAbpDoaom5izcxuMn8mv6SCxs3dJ3npAPqWX1JOE+btp1+PpcvGAhdUT+/VVBWnk6oNJBjnTL9yV3N5/dXfsfTBpjM4mYB621l4cPFB2nwqk6wtzKT9IAZJGZeWPs60ZmZX8ne1paTcErr3uz10Mq3Q0MsClUvNv0AjZ+2hIykF1NDOkpY90IV6hngYelkmy83BWr4HA5p7yiTsmT8eRJt40KuUvBIa8f0e2p+QK22KF03ppKpGLKoOJNi0nkH0+pAWtd1c3v31FIIJuOUg4oEfDtCWM1lkY2kmu429muFBwWh3JB/sRmHejpR9voxGz9pD++LRYx50IyajiO79djfFZxWTj7MNrXqwG7X1d8HbbQRF2Jx2OrZzY+maxW3i3/vtlOSrA+h6gv3wb3dLm1dvJ74ndKVuTd1V9aarPpBgk7s3kSI3NmfHWXpzw0kEE3BTLpRX0dRFkbQjRpOysGBSJ+oerK6bgtp4OtlI4WWnQFcqKquk8fP30x8nkN4A9etgYp7sOqYXllKwpwOteaib/AzGgfPQ3xnaip4dGCpfz9oWTy+sPSpdtQB04WBiLt0nNXplFOrlSD89zJtaTqp7s00ikGBc5PbusNbyesGuBNmRwG4E1HX65OSF+2lXbA7ZW5nTwsmdqGtTN7yJCuBsa0k/TO1EA5p7SYE8t91beSDZ0MsCldh6JpPun7uPCi5UUHhjF1o1oys1crY19LLgKpyP/nDfYPp4ZNvaNtFPrzyMmTNQ7/bG59D4eftl86pTE1daNVO99wSTCSQYH2tyn3mubflhTyK9sv44ggm44Q4skxdE0t74XHKwtpCHUr45gHLYWHJ6QwSNaO9HvAn53Oqjku4IcCvWH06laYsO0IWKKklx5FaODTGt2qjxPeDrsREy82fd4TRp0csbDAD1YUdMFk1asJ9KyquoZ4g7LZrciZxsLFX75ppUIKHtM//RiLYSTCzdl0Qvrj2GYAKuq6i0gibO319bKLV4aifFDo4xdZze8NGINjSjV5B8/f5vp6U9NMDN4FOtx5cfpsrqi3R3Wx9pumBnZYE3UwHubN1I6ia4bTd30uEOfNyJD+BW/HUqg6YuOkClFdXUL8yT5kzoIDU6amZygYR2N+KzUe3kaHPFgWR6bg3yJOHf8TAzPp7k/GcnGwvZbQxv3BBvl8LTG168s/kV7aFnb8fJBNTNL0fS6IU1R+X1hK4B9PnodtIGGpRjQAsvmj2hvXTe4w58D/xwUOrgAG7GpuPnJG2WT7cGtvSSQJVPwtXOZO96Q8N96Yv7wsncrAGtPphCz6w6gjxJuEJBSYXkPR9OzicXO0ta+kAXauOHDixqag+tLbx899fTMn0Y4EZsPplBT644LClyYzo1pv/d3ZLMeGcKFKdPqCctmNSRbC3NaXt0Fk1ZGCn1cAB18fORNHp4aRRVVF2kIW19JHXOVDYWTOP/8hr4m83TRjlP8qeoVHpyJYIJ0MgrLqexc/fS0Zpe8EundaFWvs54e1SGCy8f6tNUXr+67jitOZhi6CWBkdsZk00PLT0k6UxD2/nQ20NbqWKolCnrFuwudW9c/7YnPkdSWTmlFeBGrD6YQk8sj5IOYPdG+MnppKXCp1XXhen8n14nT5IjR540yEfVnO9aUYWiK1OWK0HEPjqRVkhu9la0bHoXauGjvpZtoMGnEpO6BWperz5Cvx07h7cG/tWBhFyZIaNNXeDuP3yqDcrXMdCVlkzrLCmsBxLzaNKCSGmyAXA9aw6myOeG9nSSa/BM7Z5g8oEEG9TKm74bpym62njsHD2y9BA6OJgoHlo2ds5eOnWukNwdrGn59C6q7PsMl/Bu8muDW9DImm5O3MFly5lMvEVwheOpBdK5Tdud6Us+zTahXUdT0M7fRVJYOZjgujhOcyopRzAB1+7Y9uzqIzLkcHyXAHp3WCuTTHHEXfCyoqtZ49tLTtvvJzLooR8PoYODicksKqUxs/fS6fQi8nTUBBEhXo6GXhboAd/837+3DQ1u00hyXB9cfJD2xGECNmhEZxTR+Hn7ND3hA11p1v1coKv+IkpTxCmsi6d2JkdrC9p/NlfT2hcF2HCVjUfP0VMrL51EcJ2UqaY4IpC4TN+aVl2aDg4ZNHMJgglTCyJiasbY8yRkTKU1LXwc/dnodjSguSeVVVbLBPNDSXmGXhYYWEJ2MY2bu4/ySiqorZ8zzZuk/naOpq6tvwstnNJJBo/ujsuh6Yu5nSe6OYHG7yfS6fGamoiR7f1kYropnkRoIZC4Su9mHjRvYkeysTSjv09n0hPcIxw1E6qWX1JO4+fup7isYvJx5iCiCzVxtzf0ssAAuECOa6a6B7vJMKFJ8/fTibQCfC9MVGr+BQkisorKKMzbkRZN6USOKh4sBZe0D2gowQR3c9oRk00zl2DOBGjmRDxS02xhWLivnGSbchDBEEj8ix4h7jR3QkepmfjteDo9vwZD69SKi+kmLoikMxmadCYurA5wQxBhyrjvN59MdghoSIWllTRh3n6KzSwy9LJAzzILS2ncnL0STAS520u6i4udFb4PJlaAPX+SZmNxy5ksekTae6IZi6naFp0lmSqc/sppsKZYWP1vEEhcJ5j4eqxmzsSaQyn05oaTdJErakA1+Kh62qJIOpKcLy1eedgcgghgPJ14/uSO1MrXiXKKy2VXOimnBG+OCbV/vn/ePkrIKSG/hrb04wOdycPR2tDLAgPo2tRNs7FoYUZ/nsyQlBZkKZieXbHZNJ07tlVV0x2tvCUNFs0WNBBIXMftLb3p45Ft5PXC3Qn0yR/R1/vXQUG4fSMX1O+Nz5Xe4T9M6YzCariCk42l/L1o5uVAGYVlNG7eXjpXcAHvkglMs58wfz9FZ5wnLydr2WBo5Gxr6GWBgTcWZ3MzFnMz+vVYuhTZcn48mAYuuueaOa6dG9DcS4YZm9KciP+Cd+I/DAv3o7eGtpLXX2+Jpe+3xf3nmwrGjT8Anlp5WGpg+Miaj65b+2HYHPyTq70VLZnamQLd7Cg5V5Mvzy2CQZ241efUhZF0LLVAvvc4pYTLJ2B/Oy5CBtjyFOOX1iLl2RQcTs6nyQv2U2lFNfUJ9aBvxoWbzMTqG4V34wZwf+DnB4XJ6/d/O01L9ibe8BsMxoXT017+6RhtOHpOhhB+f3976tTE1dDLAiPm6WQjg6q4ED8+q5jun7tPCvRBfamOMxYfpMiEPHK04VPKThTsifbPcGWbeN6N5rT4FQeSkfKsctxoY8K8fVRcXkVdg9zkeQFtn/8JgcQNmtmnKT3ct6m8fnX9cRlEAsoLIt7eeIqWRybLBwF/IPAuE8B/8WtoRz8+0EWGFPKcES7Qx9Rb9eACWi6k5e48dlbmtHByJ5knAHC1u9o0konmPDKAU57f33Qa9ZMqFCOzY/ZLww3u4DV3YgdpxAH/hECiDp65PZQmdg2QKYacI/nHifS6/OdgYF/8FUPzdp6V1x/c24bubN3I0EsCBeGWwJzq4mJnKQX6nAKDQVVqSXU8IrODeIYQPzDwgwPAtQyP8KO3a1KeZ22Lpy//isWbpcLZMbnF5dTa15kWTO5I9tYWhl6W0UIgUQc8tfD1IS1peISvfPjwDhZX8oPxm7sjnj7fHCOvXx/SgkZ28Df0kkCBQr0dafEUzdTbfWdzZVBVWSUGVSlVdfVFen7NUfrlSJrkvnPqQrem7oZeFijAuM4B9OrgFvL6s83RNHs76ifVNDsms6iMQr0cJcWRG2/AtSGQqCMePPLhvW1oYEsvaQP2wA8H6GAipt8asxWRSZLSxJ6+rRlN7t7E0EsCBePCfN6h0g6qevhH9JZXaqrj6z+foNUHUyTV8asx4dQ3DKmOcOOm9mhCz9zeTF6/++tpWrwnAW+fimbHcG1cQ3vMjvkvCCRuAvcO/nJMOPUMcZfpt1zRfzKt8GZ+K9CxDUfT6IW1x+T1jF5B9Ei/YLzncMs6BLrSvIkdpHsHp8Q8seIw2kEqLIh499dTtHhvouS6fzKqLd2BVEe4CY/0C7msfvIErTyQjPdRgXLOl8lJBM+O8XfF7Ji6QCBxk7hyf9b49pem387fR3FZ52/2twMd2HI6k55YflhqWsZ2bkwv3BEm6WkA9aFbsLvcA7j718aj5+jZ1UckVQaM32d/RtOcHZp6qfeGtZY23wC3Uj85peakm1Pl1kWhGYvSBlByEBGTeZ68nWxo6bQumB1TBwgk6mH6bUsfJ8o+Xy5tIVPyMP3WGOyNz6EHlxykyuqLdE87H3rrnlYIIqDe9Q31pK/GRJC5WQNaeyiVXll/HB1cjNw3W2Lpy781xbFvDGlB93VqbOglgcLxBtWrg5vTuM6Na5qxHJbNBTB+BRcqaPz8fdKNj6fXL32gM/m72hl6WYqCQKJept92oqYe9nSuoFSCicyi0vr57sBND5DhjjraKZTcqo8f9AB0YVArb/p0lKYd5NJ9SfTWhlMIJozU/J1n6aPfz8hrPqGchHopqMdggjesRnXwIz6YfHx5FDo7Gjlu4T1x/n46nlpIbvZWtHRaZwrycDD0shQHgUQ9cHOwph+ndSG/hraSXzdh3n4MrDKQM9zjf/5+GSDTrakbfT0Wo+xB9+5p50sfDG8jr+fvOkuf/BGNt93IcJD35oaT8vrx/iH0YG9NXjtAfTZjeW94GxoW7iun4Q8vPSQptmCcU+y5vpU3HrmlNxdWh3hhAOXNQCBRT7ydbaTHvKcjBlYZsvfz/fP2yVFleGMXmjMBA2RAf0Z19Kc372kpr7/eEktf/61pNwyGt/ZQCr287lLThScGhBh6SaBSfPr90Yg2dFfrRlRRdZFmLDlIO2KyDL0suGqK/bRFB2qn2HNL7+aNnPAe3SQEEvUowE3TLkw7sOqBRQfkLyzoXlpN7+esojIK83akhZM6YYAM6N2EroH00p1h8vrjP6JlfgkYFueqP7PqiOSuT+gagKYLoJfOjp/f145ub+FF5ZWaNvFctweGx89k0xcfpN1xOWRvZU6LpnSSlt5w8xBI1LNmNQNMHKwtaE98Dj384yGqqKqu7z8GLpN9vkxOIrj3M08fXjy1MznbYYAMGMb0Xk3pyQGa3vI8v2TJ3kR8Kwxk88kMyVXnnPXRHfzpjSEt0XQB9MLS3Iy+GhtOfUM9qLSimqYsjKTIhFy8+wbEw0MfWXqItkdnyRyghVM6UURjTLG/VQgkdKCNn4v0mLe2MKO/TmfSUyuPoMe8jnAaE9ekxGcVk4+zjZwIcecFAEN6rH8wzeyjycF/Zd1xGXoG+sXpJA/9eKi2c9u7w1tLDjuAPtvEf3d/+9qZU1y/h5MJw51EPLj4IG0+lSnPZvyM1jHQ1UCrURcEEjrSOciNvq/pMf/LkTR6+adj6ORSz4rLNMVSJ88VkjsXvD/QhXxdbOv7jwG4qQ4uzw0MpUndAuXr51YfkfsA6Me++BxJJymvqqZBLb3pE3RuAwOxsTSn2eM71AYTkxbsp92x2fh+6DmI4PvBljNZZGPJQURHmQME9QOBhI57zH8+Opx4E2x5ZLJMUuWJqlA/N4YZiw/SoaR8cuJiqamdJK0JwJiCideHtKAxnfwltebJFYfRDlIPopLyJI2E00k4reTLMeGSsw5gKLZW5tL8o09NmtPkhZGSXgP66c7E94MdMdlkZ2VOCyZ1oh4hCCLqE+6uOnZXm0b0/r2atpA8SfWrmkFIcPO45uTRZVG0M1ZzY+BiKXRcAGMNJt4e2rq2HeQjS6NoGx4gdOZ4asEV7Z85rcTKAh9zYBwnE7PGt6cBzT1lxhF3DUJrWN3PiZi0IPKKwuquTd10/KeaHtxh9WBUB396bXALef3pn9EyFAluTnX1RXpu9VH682SGPCDMndiBwlEsBQpoB3lHK29JtZn+wwHsRurAibQCmjB/PxWWVlKHgIZo/wxGWTPx7bj2km4n94LFB3BKqSNFpRWyqbD/bC45WlvQ4mmdUROhIwgk9GRKjyb01G2aTi48FGllZLK+/mjV4LSw134+Tj9FpZKFWQP6dmwEdWuKI0owfpxa88V94dQ/TLMbyUftKMCuP3zKM+r7PZRbXE5t/Jxp/uSOaP8MRok3wLibE2cr8JwJbgjw27Fzhl6W6pqwjJ+3nw4m5knqMzdhQXcm3UEgoUeP9gumB3o2kdcvrD0q/c3hxn34+xlasjeJGjQg+mRUWxrQwgtvHyjqAeLb+yOkgxCnOfFsgy//ikHd1C3iTRkOzLTpTNz+2ckG7Z/BuFvDfjG6Xe294JFlUbQuKtXQy1KFHG4HP3df7cTqpQ90obb+LoZelqohkNBzvvRLdzavLb58YkUUciRv0DdbYum7rXHy+p2hremedr66/FYB6Cy14bNR7Wpbw3Kq4wtrjmHWzE2eUH72ZzQ9t+aotNfmOpSFkzuRsy2CCFDGKeWno9rRvRF+8vf3iRWHac52DLC8FUk5JXTvd7vpWGoBudpb0bIHulArXwyb0zUEEgYqvhzS1keONR9cchB9pf/DD3sS6KPfz8jrl+9sTmM7N9bHtwpAJ3iWwfODwuitoa2ko9uKA8lSeMmFgXDjDRe4VuqLv2Lk64f7NqVPR7VFYTUosn5qag9NpsI7v56itzaclFpAqHujheHf7aKEnBJpA7/qwa5owqInCCQMdPPgDz1tvjQ/RBxNyTfEUozemoMp9Nr6E/L6MU4N6xVk6CUB1IvxXQJo1vgO0tecc/xHz9pDmYWleHdvoIiSU5lWHUyRQOzdYa3p2YFhmFgNit1YeHVwC9kkY/N2nqXHVxyWKcxw48Mn+f6Zfb5cgoefHupGTT0c8PbpCQIJA+ZIfjMugroGuclOJHcbOZNeZKjlGKVNx8/Rs6uPyOvJ3QPpyZpidQC1uK2FFy2f3pXc7K3oRFohDft2N8Vm4j5wLRmFpTRq1l7pCW9raS5d23BCCWrAm2Sfj25XO8R28oJICZrh+n6KSpH3imukuge70coZXcjTyQZvmx4hkDBwX+k5EztQO38Xyi+poPvn7aPEnGJDLslo8LAenhXBJ7wj2/vRq3e1wI4jqBJf/2sf6iYDFVPzL9Dwb3fLZGa4UnRGEQ37Zhedkkn2VrRiRhfqF4aGC6AeQ8N9af6kjjLzgGcfcNCMU8pr10jN3h5HT644IgXrd7f1kWFzjmi0oHcIJAzMwdqCFk7uSGHejpRVVEbj5u6jcwUXyJRFJuRKf22uIbmrtWagHx//AqhVgJs9rZnZjSIau8gcBG5d+PORNEMvy2jsjsuWIsq0glIK8rCnnx7qTm380IkF1KdniAetmNGV3B2sJWjmU8qYDJxSXq6yqpre2nCK3v31tHzN3TD5NAfDJw0DgYQRcLGzoh+mdqJANztKybsgrcu4hZmpFkxNWRBJpRXV1CfUgz4b3U5qSgDUjruMcKtC7bCqx5ZF0axtcSbfHnb94VQZLFVUM2huzYPdyN/VztDfLgCd4U5Da2deOqUc+s0u+hWzJgQ/G01csJ/m79IM9uXakpfvaoHNRgNCIGEkPB1tZGiKj7MNxWUVy47ksZQCMhXcpeKvUxlSK1JUVkmdmrjSd+PaY4cBTC7dkWunuCaIvffbaXr95xPSHtIUUxe+3RpLjy8/XHs6yffIhvZWhl4agM41drOj1Q92pS5BrpL/z4Pr3tl4UnbjTRXPhhj81U7aFZtDdlbm9M3YCDRgMQIIJIyIX0M7+aDk/N+T5wppyNc76b7Ze2TWhFrbwZVWVNGKyCS6/fPtNHXRgdrJtPMmdiBbK3NDLw9A7/gE7vUhLemVu5rL8MUf9iRKm+gL5abTxYUfll5df5w+3KRp+zytRxP6aky4BFoApsLNwZqWTO1M02u6Fc7ZcVbSnzkN2tQ2FX7clyjT689xeqO7Pa17uLtMBwfDa3CRv0M6UlhYSM7OzlRQUEBOTk66+mNUhwuuP98cI50buIiIhXg60AM9g+iecB8ZaqV0+SXl9OO+JFqwK4Gya9K4uF6EO7A83DcYQ6VUeJ0pZZ3GhNMZeFBVeWW1FGVzgM0PF2pWUl4paV2bT2VKIPXa4BY0ubumzz6o5zpTyjqN6V7w7Kojcjrh5WRN345rT+0DGpLa8WbjK+uO0+qDKfL1wJZe9PHItiiqNqLrDIGEEUvLv0ALdyfQ0n1JtcOqPBytaVK3QLq/cwA52ylvgmtybon0yV55IJlKanZYGznb0JTuTWh0J39yQscF1X4gK2Wdxth84IEfDkhnNx60xD3n+cOUh1uqzd74HHp9/Qk6k1FE1hZm9MV97WhQK+w6qvE6U8o6jUls5nk5neSfuU3sK3e1oAldA1R5L9BOqub/X87Q4FLJ5waF0YxeQar9/9UFBBKg+YtQWkHL9yfR/J0JlF4zsIrzA0d39JcHcCUUHvLAvdnb42VXRZulxYNjpvdqQoPb+MhcDVD3B7JS1mmM4rLOS6/0pNwS+bpHsDu9cXcLCvZ0JLVsmrz76ynacPRcbeH5nAm84+pq6KUpjlKuM6Ws09jwpuLzq4/Sxpri69tbeNGb97Qib2f1zE7gRBnebHxn4ynpYsdzdji1sVuwu6GXpjiFOJGAy3F6w4ajafJAfrpmeB3nU9/ZuhFN7xlErf2cjeoN47qOrdGZNGtbPO07m1v76z1D3CXnkx+GsLNgOh/ISlmnMaf8fLc1jmZtj5d7gYVZA5rYLZAeHxCi2JM8TluYuyOevtkSRxcqqmTXkdMbn74tFEXVKr/OlLJOY33Q5pP99387LenPjtYW9PwdYTS2U2PFdy86m11ML649SnvjNc8M4Y1dpKjax8XW0EtTpEIEEnCtmwhPdp2zI15+1uIp2fyA3ruZh0FvJmWVVbQ+Ko1m74iXI1jGDz08MGZazyBq4YMPDVP8QFbKOpVw3P/WxpP058kM+ZqbMzw3MIxGtPdTzEME38N4/fz/kZyrmZvTKdCVXr+7BbX0Ma4NEaVRynWmlHUaM54z8cLaY3QkOV++7hjYkN4b3oaCPR1IaSqqqmWT9Iu/YmSjxMbSTDYUuIOdBTIWbhoCCfhPJ9MKJaAwhsLsgpIKWrIvUeo6tF0leKeEdxgndQ+kRs7YUTDlD2SlrFMptkVn0f9+OUHxWcXydVs/Z3rj7pYU3ti4CzB5c4HXrd0E8XayoRfvDJONBpxQms51ppR1GjtuDb1odwJ9/McZqTu0MjejR/oF04O9myqmfToHQs+vOVqbacFZC+8MbS0tcOHWIJAARRRmo4DasJTygayUdSoJ79z9sCdBurxpr3s+mXhuUKjMpjEmRaUV9OVfMdKpjTc9+IHngV5N6KE+wWRvbWHo5amGUq4zpaxTKVLySqS70dYzWfJ1My8HacxgzCnEvOH4zZZYuYfxPmhDO0tZ87BwX6Nds9IUIrUJjLkwGwXUxkEpH8hKWacSZRaVyswFbYtEbqX8eP8QqaEw9K4k10qtOZRCH2w6U9vqeUBzT3lgCHCzN+ja1Egp15lS1qkknDL485E0evOXk5RTXC6/1trXmR7q05QGtvQ2mtRH3nzkNCYuqC6r1AzYG9rOR+4Jam9vrW8IJMDoCrO1BdT8+2qLoRgKqA1HKR/ISlmnkkUl5dEbP5+gIykF8nWQh70Mt+O6KUNNouXJ3Nocbh4k9eqQFtQ31NMg6zEFSrnOlLJOJcorLqcv/46hZfuTqLSiuvZewOlOQ9v5GmxzITqjiL7fGkfrj6RJShbj+ThP3daMehnoHqV2hTiRAGMpzNYWUPPvE4MCaqOilA9kpaxT6TjYX30ohT7cdJqyz2t2JQc096J7I3ypjb8L+Tjb6DRtgE9HjqUU0G/H02tPSOytzKW71KRuTQx+QqJ2SrnOlLJOJcs5XyYpz1xDwW1UGV//3PRkRAc/vXR74/vRoaQ86TanbRCh3Xyc2aepPIsgjUl3EEhAvRdmc6vFn68uzO4VRPe0+/fCbBRQGz+lfCArZZ1qSnP8YnOMPERor3dtlydOd2jj50Jt/Z2pta+L1FPdDL4/HE3Np6MpBZLqyD+fK9CkVGoNj/ClFwaFkaeTcdVsqJVSrjOlrFMNuD6J6yfn7jxb2wiFMxQ6BDSkvmGe1C/MU54F6uuBnu89O2OyacvpTNoanVX7Z/JvP6iltwQQfP8B3UMgAXorzPbkwuzugTSuk6Ywm3MY5+86SysiMYHa2CnlA1kp61SbmIwiud45zehMetEVQYUW71LyBzunPLat+dnZ1vIfcyyOpxZKwMCpU8dS8ikhRzMg73L8sMAPJfz7jenUmNoHGHcXKbVRynWmlHWqCc9t4XqlhbsSajMLtHxdbKlPqIekHYZ6O5Knk/UNdX3krIe8kgp5rtgVm01bzmTSgYS8K+4zfCLJadUzejdVZGtaJStEahMYojCbP/j5hoAJ1MqglA9kpaxT7Q8S3HueTw6O1Jwg8NTsi/+MLaiJu72cXHAqEgcP3Lb1X2IQCnCzk3+PA5A2fs7UytcZXZgMSCnXmVLWqeZ5NFzv+PfpTNoTl1Nb9Hw5FztL2WTkDnD8M59cFpdXUmZhGWUUlVFWYSllnS+jiqp/3hi4JqNfqKeceHQIbKjXVvRwCQIJMFhhNkMBtTIo5QNZKes0xbSHE2mXThr4Z+2QuKvxzAfNqYUmNYoDBxc7K72vGZR/nSllnabgQnkV7YnnVKQs2hmbTal5F6i86p+BxfW42lvJJkI/PtUI80RHNhO6ztC8G2THcXiEn/Ru5oJsfpDo39yLmjfCzR1A7RxtLKlLkJv80MotLqdjqQV0NDmfKqov1tRUOJMX6hwAVMfWypz6hXnJD226UsGFCsosKpPTB26gwK+51oHTlDycNCcU/IPvCe4O1miiYMIQSEAtLrTiFmxowwZg2nh3kTu6GaptLAAY9lmATxr5RzMvR3wrwHCBBEe12qMVANAN7fWlvd6MFe4HALqH+wEA6PN+oNNAoqhIk2/v7++vyz8GAGquN86FNFa4HwDo93rD/QAAdH0/aHBRh2FKdXU1paWlkaOjIwaOAOgIX8J8k/Dx8SEzM+Md9oX7AYDu4X4AAPq8H+g0kAAAAAAAAHUy3u1LAAAAAAAwWggkAAAAAACgzhBIAAAAAABAnSGQAAAAAACAOkMgAQAAAAAAdYZAAgAAAAAA6gyBBAAAAAAA1BkCCQAAAAAAqDMEEgAAAAAAUGcIJAAAAAAAoM4QSAAAAAAAQJ0hkAAAAAAAgDpDIAEAAAAAAHWGQAIAAAAAAOoMgQQAAAAAANQZAgkAAAAAAKgzBBIAAAAAAFBnFqRD1dXVlJaWRo6OjtSgQQNd/lEAJuvixYtUVFREPj4+ZGZmvHsDuB8A6B7uBwCgz/uBTgMJDiL8/f11+UcAQI3k5GTy8/Mz2vcD9wMA/cH9AAD0cT/QaSDBJxHa/wEnJydd/lEAJquwsFACdu31ZqxwPwDQPdwPAECf9wOdBhLadCYOIhBIAOiWsacP/tf9oLyymqwsjDc1C0BJlHY/KKusImsLc0MvC0CVGujwfoBPbTAa0RlF9MTyKNp0PF3y+sB0/HrsHPX5aAsl5ZQYeikAoGerDiTTnV/soHMFF/DeAygMAgkwCjnny2jygkhadziNHlxykCYvjKTEnGJDLwv0oLr6Is3beZbSCkpp5o8HqbSiCu87gIng6/2rv2MpLquYRn6/B5sJAAqDQAIMrqKqmh5eeohS8y+Qh6M1WZo3oK1nsui2z7bT55uj8WCpcmZmDejrseHkam9FJ9IK6X+/nDT0kgBAT2wszWnZ9C4U6GZHKXkXaNSsPRSbeR7vP4BCIJAAg3v311O0Nz6X7K3Maem0zrTpiV7UPdhNcuY/3xxDAz/fTlvPZBp6maBDjZxt6Yv72hGncS7bn0RrDqbg/YZr4nz6tPwLdCylgLaczqSVB5Lp262x9NHvp+lkWiHeOYXxdbGllTO6UoinA6UXltLoWXvo1Dl8HwGUoMFFHSajc7W4s7MzFRQUoNga/tXaQyn01Moj8nrW+PY0sKW3vOa/lhuOnqO3NpykzKIy+bVBLb3ptSEtyMfFFu+mAq+zG1nnF5tj6LPN0WRjaUbrHu5OYd7G+/8DupFXXE6RCbmUfb6css+XSdojv86Sn8sou6iMCksrr/nfc8H+O0Nb0cgOptl6XMn3g9zicho/b5+cTDrbWtIPUzpRW38XQy8VQLEK9XA/QCABBsO7iSO+301lldX0WL9geur20H/8O0WlFXIqsXB3AlVVXyQ7K3N6rH8ITeneBB1+VPDg8G/1EpMWRtL26CwKcrennx/tQQ7WOm0uB0bkaEo+TZy/n/JKKv7z37Uwa0BuDlbk7mAtP/h1ekEp7Y7LkX8+oWsAvXJXC5O7Tyj9flBwoYImL9hPh5Ly5dpfMLkjdQx0NehawbjwRuPx1EL5u2JvbS5/T+y1P6zMycLctK756zH5QIKLsJJzSyjEy7j740Pd8c7i3V/tlALb/mGeNGdCB8mVvxY+5n513XE6kJgnX/MR+FtDW1GXIDeTf/uV/uBwNd6VvOtL7uBSSne1aURfjwk3+laWcOv2xOXQtEWRVFxeRX4NbSnUy1ETJDheChY0PzRf84711fcMDkS5cJdPtVjHwIb0zbgI8nS0MZlvkRruB8VllTR1UaSkvPLp5NwJHalHiLvB1grGITaziNZFpdH6I6mUnHvtDl/WFmbUxs+ZpvYIottaeJH5dZ4t1K7QlE8k+C/MlIUHZBd681O9ydYK/aXVVFx9/9x9tO9sruw6r3ukOznZWP7nf8cPCWsOpdB7v52Wh002LNyXXrwzzKQeFNT44HC1Q0l5NOr7PVRZfZHeGNKCJnVvord1gv79eTJDGi5wXVTXIDeaM7HDLZ1EbT6ZQU+uOExFZZXk5WRN39/fnsIbNyRToJb7AW8kcgc/brxhZW5GC6d0pG5NEUyYGj5l/OVIGq07nCopb1qcncAbDsVlVVRcXinBZ0XVPx9nuYh/as8gGhHhZ5LPkYWmHEhcKK+iAZ9uk04+j/QNpmcG/jPtBZTpjZ9PSKoSPyise7gbBXvW7cQpv6ScPvr9DC3dn0T8t9fR2oKevr0Z3d8lwCSPNNXy4HC1BbvOSgcn7uK1YkZXijCRB0FTrJN6dvVR2TTi3cOvxoRLJ59bFZd1nmYsPigdgPhB9M17WtJ9nRqT2qnpfsBF9Y8ujaI/TmbICRTXTTVxt9f7WkH/OBvl1fXHaVt0lnzOa9MZezfzoLvb+ci9ws7K4h9/X0rKqii3pJx+OpRKi/cmSvoTa2hnSeO7BkrKI59omopCUw4kGA8m4x0J/hD448leFIgbiOJxN56nV2mKq2ePb0+31xRX34wjyfn0yrrjdCy1QL5u6eMk6U6m9sCppgeHy/Gt6ZGlUbTx2DnycbahDY/1lBaxoB4Ld52lN2ra/Q6P8KUP721Tr5sB58sq6emVh+n3Exny9djOjen1IS1UPUFZbfcDPpm4b/ZeOpycT0Ee9vTTQ90lqAD12nA0jV5ce4yKapoqdAhoSPeE+9JdrRvV6TOgpLySVkYm07xdZ2tToTjtiYOJ5waFkaUJbDwW6uF+YNTv4sCWXtSrmQeVV1XT/345gWnHKiikfPGnY/KaC6ZvJYhg3M2Dd6g4eHCysZBjz+Hf7qYX1x6Vzi+gbFwX8f69rSX9jWtpnlhxWNLbQPk4SOQOXdogYlK3QPp4RNt6P1HkU8/vxrWnZweGSmvhpfuSaMzsvZRRWFqvfw7oDp9OzZ7QXjYT4rOK6ZGlh6iyqhpvuQrxg/8La47KBhIHERGNXejvp3vT6pndaHyXgDpvJPGJBafFbnm6D30zNoLa+jlLc5c5O85KerU2RRpUHEjwgwTnR3Nqw5YzWbT5FGYJKLm4+sHFByUHekBzT3qif0i9/L5cRMU3mL+f6UP3RvjJry3bn0z9PtlKy/cn4cFT4RxtLOnb+yOk4JI7OX29JdbQS4JbxMHgmxtO1hZEPzmgmZwSXK/Zwq3g3/fhvsE0f1JH2XDgbkCDv9pJBxNzdfLnQf3jGjium7G1NKcdMdnSFhzUhee/DPlqJy2PTJag/9F+wTJbJMjD4ZZ/b96g4MYdvPHIbea5sxPXaN7zzU46k15UL+s3ZUYdSDD+SzStZ5C85lMJPuYEBU6u/vGQ7Crz7vKno9vV+0MD5zx+Mqqt3Hi42wu3j3xh7TG69/vddCJNk/oEysSzJN4Z2lpe88PnzphsQy8JbhLvJHM9xIJdCfI1BxCPDwjRS1euvqGe9PMjPeT+kFVUJukyP+5LxEm3QrT0cabPRreT14v2JEr+O6jjdJJTHId+s4visoqlOcKP0zrT07eH1vsJJd9neFbVTw93p8audpLuNPzbXdLsAVQcSDCOTBs521BK3gX6bmucoZcDdfTOxlMS/XOaAR9R30iHppvVqYkrbXisB718Z3PZdYhKypddDi7wLiz97970YJzube9HYzr5S9HdY8uj6FzBtVv/gXHiTaCZPx6Szmt8kvjpqLY0Wc/duLjObu1D3STXmju8vPzTcXphzTFsUCnEoFbekqbG+J6OTQXlpzJNX3xQUhw5hZ2zFX57vJfOu3M183Kk9Q93py5BrtJuevriA/TNllhsKqg5kOA8Nx4sxL7bFkdJOSWGXhLUobiaOzQxfnCoa4emm8EFVA/0CqK/nu4jx5mcVs9r6P/JNloXlYqbhUK9PqSlFNRzXivn0PJJFygDFz1PXhApO388II7bsQ6vSUXUNx5a9fXYcHrhjjDig9EVB5Jp9Oy9CE4V4qE+TaXtN3f5eujHgxSfdd7QS4Kb3FiY/sNBzT3B3EzS2HmelL4aajS0t6LFUzvT/V0aywYVd4LkOjxkvag0kGB3tvambk3dJMee82vB9Iqr68rb2UYKrBZP7SQtAzmdgW8UY+bslTkloLyiy2/HRZCjjQUdTMyjD347beglwQ3gxgfj5uylPfE5ciq5aHInad1oSJzi8GDvprRwcifpAMQd4IZ8tUvajYNx4+/de8NbSyFuYSkPrjtABTcwCR2MBz/HPfTjIdoZmy2ZA8umd5aiaH0PHuVNx7eHtpaGLXxKuv5wGo2ds1dOSkCFgQT/BeM+4NxHePOpDNpyGoXXxl5cPUMHxdU3o2eIB216oic9fVszaf3G01IHfb6D3v/tNG4YChPgZk+fjGwrr+fuPEubjp8z9JLgP4ZJjZq1h46kFEgf96UPdKauTY1nGj13BfzlkR7UzMtB7lncKhadwZSxqTBrfAfydbGls9nF9PyaozhpVlCd1OPLo+jv05nSRGPepI7UPsDVoGvihi284cibCtyMgWs60RlMhYEE47SYKT00ObVvoPDaaHHKCe82nOPiag/dFFfXFfeNf7R/iExJ58CGJyZ/vy2OBnyyTR5GdThOBeoZn2zN6KVpwPDsqqPyIAHGJyG7mO79bjfFZJ6XGrdVD3alNn4uZGwau9nR7PEdZFIubzLM3Rlv6CXBDfBw1Ews566Om06kS7c+MG6cjsZzpH47ni7pTHzddQkyjo0Frsvgzm682chdQnkYHp4LVBhIaFNkPB2tKTGnhObuwA3fWIur92uLq8d30GlxdV35u9rR3IkdJReTd7O4k9SDSw7R5IWRlJiDB1Kl4En3HQMbUlFZJc1cchB5rUaGp0qP+H6PpApxWiEHEfqoj7qVIuxXB2vq8D7+PZpOnSs09JLgBrT2c64tvn5zwwmKyUDKqrHik76X1h6T9CHOLOE0VT4RNCbtAxrSl2PCpf0sB6Zf/41246oMJPjh9OW7mstr7imfkofCa2Oy6kBybXE1t+oL9rz1HtC6wDnafDrxcN+msqO19UwW3fbZdlp/ONXQS4MbzG39emwEuTtY0en0Inp9/Qm8b0aC0xkfWxYlqULNGzlJS2a/hnZk7O7r6E8DmntJ95gnlqPoUimm9QiiniHuVFpRTY8ui8KmghHinX1u38+NDTg54Yv7wmmAgeukroXbw/7v7pby+pM/o+WZBlQWSLC72/pQ5yaucuN4e8MpQy8HanDB4svrjsvrx/uHGLyg8r/YWpnTswPDaNMTvahHsLs8AL3y03HKLMLUWyXwcrKhL+8Lr+28syMmy9BLAiL64q9omTLvYmdJiyZ3lBQUJU1S5+D0TEaRdHEB48dpszxDyM1es6nAtW9gXEEEf0949gfv9H88sq10UzRmE7oGSjMG9uLaYzIMFVQWSGgKrzVV9pwbiW+y4XFHpAeXaIurvSSQUIqmHg70w5RO1NbPWVJl3v8VH0RK0S3YXW767JV1x7EbaWAHEnJrZ/28N6w1eTrZkJLwYMsPR7SR1/N2nqVdsRh+qJTJ1x+P0jRh4BPxzRgwZjSW7E2kWds1aeg8WNRQbZ/r6rmBoXRPOx+pp+T02eOpGGyrqkCChXo70sSaBwgeTMMPsGDAydVLLxVXfza6rcGLq+uK18vBKe+YrI1KpciEXEMvCW7Q07c3k2moXDfFQ4XAcLMinlp5ROa2DI/wpTtaG/eu47X0C/OisZ0by+unVx5Ba1GF4MnlU2oGHD67+ghlFOJk2Rg2Fv73i6Zd/3ODQmuvK6U8E/CmQtcgNxlax3WUSKVXWSDBnrgtRHaQ4rOLZfcIjKO42tGIiqvroq2/i+RJs1fXHUf7N4Xgv2/anFbuxIWCS8N4Z+NJSsotkSYGb9R8P5TqlbuaS5F4emEpvbzuGLq3KMTzd4RSi0ZOlFdSQU+uOCxdgsAwOJDjSfa8o8+pTDNrUoWUhLs9zprQnsK8HSXrgodqFpdhxoSqAgnuBvTiHWHy+qu/YzCZ1ACUUlx9o7hmgntJc67tj/uSDL0cqEOBHLf1rai6SC//dByzAPSMU0m4y4k2B9qYOrXdDDsrC7mfcfrshqPnpNMMKOPB76ux4WRraU6743Jo1nZNmh3oF2eIcDoQP3yHejnSh/e20fuwufrC97IFkzvKqTe3sn4NjT3UFUgwPkLvENCQSsqr6O2NKLw2VHH1EwOMv7j6RrjaW0lrUfbxH2ek8wwYP/6Q4l1wfoDYn5BLqw+mGHpJJoOvkRfWHpXX03o0MaqBc7einb8LPdZPU+vFPeUx9Vo5NW9v3K1p5fvpH9F0ODnf0EsyOdyhiQe7OdlY0Kzx7cne2oKUrJGzbW1jjzWHUmgNPl/UFUhoC6/5G7zx6DnajeI4gxRXaz9w1WBsp8bUyteJikor6QN0AFEMbjH61G3N5PW7v52iHASBeunIwl1Nss+Xy87j07drgnC14PbQ4Y1d5F6AqdfKMaqDP93VupGk1fD3rbSiytBLMhkrI5PlNL9BTZtXntGiBp2D3OiJAc1qNxZiM88beklGQ/GBBGvh4yQjztnrP5+Q4l/QHTUUV18PpzP87+5W8nrVwRQ6lJRn6CXBDZrcPVBmF+SXVNA7v+KEUtdWHUihP09myCwWTgWysTQnNbEwN6PPRrXD1GsFbjC+M6yVtB6Oyyqmj9HKV29ZCtw9jz05oBn1DfMkNXm4bzB1a+omGTCPLD2EAFVNgQR76rZQ6SPNOWwLd2ly9kE33t5wUhXF1f814XJEe02butfWH0fRnoIe/N4dVtN961AqTih1KCmnRFIYGJ9E8IaOGl099fpkGqZeK4GLnRW9P7y1vJ6366x8ZoFuUxwlS6FKk6XwSN9g1b3dvMn4+eh2tTNL3t6o6Uhl6lQTSDjbWdLzgzSF159vjkbrNx0WV/NgGbUUV1/PC3eEkaONBR1PLaRl+1F4rRThjRvS/Z01J5SYLaEb3A3n6VWHpS1ip0BXeqBnEKnZFVOvV2B6slL0b+5FI9v70cWLRM+sOoKOOzpSWVUtO/SSpeBuT5+qLEvhcjwbh5992JK9SfTrsXNk6lQTSDDeQeYCOf5wew9pDfVOjcXV18OthZ+uybnnKbe5xeWGXhLcoGcHhUpaA7eG1g5Ig/oze3s8RSbkyakkTxXmnTo1u3zqdXTGeUy9VpBXh7QgH2cbaU2Mqde68cVfMbQ3Ppfsrcxp9oT2iu/a9l96NfOgmX007WyfX32UknNLyJSpKpDgCPitmqFi6w6n0b74HEMvSVXF1TMWa4qrOYBQU3H19dzfJUB6SBdcqMDDg4LwB9kbQzSzDDiQiMtCYVx9OZFWQJ/+eUZevzakBfm72pEpwNRr5d4LPhyhmXq9eG8i7YzBtPL6tCcuh76uGQT6/r1tKNjTkUwBN/bgFOiiskp6ZFmUSQ9FVlUgwVr7OdOYTo1rC6/5yA1uDV8gD/94SIYzNfWwp09HqffY8t9y7rkrGFsemURHU9BKUCnubO1NfUI9JB3l5Z8wVKw+cPcbHvTF8zpub6FJGzElmHqtTD1C3Gsbsjy3+ggVllYYekmqwKf0nOrHqWOjO/jTkLY+ZCoszc3oyzHhMneKszU++v00mSrVBRLs2dtDycVOM1Tsh5p8frh5XFDEvfkdubh6gjqLq6+nUxNXGhbuKzfLV9efwLAzBaWj8AmljaWZHLuvOZRq6CUpHne/4dQeTvF5b3hrxQ6ZuhWYeq3cmrfGrnaUVlAqDUPg1ls/P7f6KGUUlkn3xtdrZneYEl8XW/poRBt5PWfHWdplouMHVBlINLS3oucGagqvP/szmjKLSg29JMVaeSC5NhjjAiMe9mOKeII654PzzgO/J6AMnHbzeH9Nncs7G0+izuUW7I7Lprk7z8rrD+5tQ24O1mSKMPVamXgoGk9d59h35YEU+vt0hqGXpGicJrb5VAZZmZvRV2PC5bowRbe39KZxnTVZMBxYmeJplyoDCTa6oz+18XOW/LUPftPk80Ld8ETQV3661BN6gMqLq/+rUwMXmLMPNp2m/BIUXivFtJ5NZFhaXkkFmjDcJP5wfGblEXnNqaPcDceUcVOPR/tp2lti6rWyTpendm8ir59fcwz38Zt06lwhvb1RM6fnxTvDqKWPM5myl+5sLqddqfkXTPK0S7WBhGaomKbYkkeaH0xED+k6T67m4uqqasmF1n5omrKJ3QKpmZeDPJB+8ke0oZcDdchlfbemnzwPGNyLJgx19sb6E5ISEuBmJ6k9QNInnwMKnnrNnVs41QOM3zMDQ6XWjz/juI4S6uZCeRU9WlNc3C/MkyZ1CzT5t9D+qtOuzSdN67RLtYGEtp88FwCxV9edwFCxmyyu/sSEiqv/64FUO/H6x32JdDy1wNBLghvE3TXG1hw/c+F1WWUV3rsbtPHoOVoblUp8C/h0VDv50ISaqdej25G1hRntjM2m9YfT8LYoAE9f/2RUO9ls5O8Z5gDUzZsbTlJs5nnydLSW+gBTrJO61mnXAzXzdF5Ye4zyTKhdvKoDCfbcoFBysrGgk+cK5eEP/pupF1dfT9embtKZovqiZuJ1Nb8ARXh+YJi08IzLKqZZ2+INvRxFyCgspZfXHZPXD/cNloAMLmnibl97WvvWhpNIlVEIPkl6qGYOAG8s8OkE/Lffjp2T4awcO3AQbap1UtdrCRvi6SBTvl9Zr0kLNwWqDyT4L/qzA0NrO47knMcN40aKq/lG8fl9pltcfT0v39mc7KzM6VBSvuzUgjI421nSq4M1aTnc9/xsdrGhl6SIriz5JRXUyteJHutvGrNj6mp6r6YU7OlAOcXlUj8FyvBovxBq0chJUlVfXIv20P+F8/+fX3NUXs/s3ZS6B7vr4bukvNOuT2tOu/gk95cjpnFKqfpAgo3tHCA3jMLSSvpwEwqvb7S42tQLKq/F29mm9qHq/d9OybA6UIa72/pQzxB3Sd97ZR0eHq5nyd5E2hadJak7n41qJ6l98E9WFmb07jBNDc6y/ckUmYB6PKV83z4d3ZYszRtI9yG0h742nsf1xPIoeYbi05wnb9N0woN/4llmXD+lbcSQWaj+rqEm8cnA0eFbQzWF1ysOJFNUUp6hl2R0uEXu5cXV2gsB/t2U7k2kfiT7fLm0GAZl4Hzet4e2kofjXbE5yGu/Bp4E/s6vp2r774d4mca02lvJj9bW43GqjClPuVWSMG+n2ofi//18gtLyLxh6SUbpy79jKTIhT9KdudUrNhWu75F+wXKKy6e5XC+h9kYMJhFIsPYBrnRvhGYK62vrUXh9ORRX39xulrbw+oc9CdIOD5QhwM2+9kQJee3/VFFVTU+tOEylFdXUI9idJnZFV5YbwQGXq72VDOybswM1OEoxvWcQhTd2kVbxnMqn9oe+uuIud1//HSOv3x7WSmbzwPVZmptJihPP2Pj7dCatOpCi6rfMZAIJ7Y2eI+pjqQW0IhJDxbT4YUq724Di6hvXI8Sd7mztLYXXr68/gQ8gBeHuGiE1ee1voAXkFb7ZEktHUgqkScVHI9ugY1sdBqFqW+N++VcMJeagBkcp3bc+GdmWbCw13bc4pQ80uPPQkysOy2fcyPZ+dE87X7w1N6iZlyM9fXuz2k5XKXklqn3vTCqQ8HC0rj3G/PD30ybVnutaVkYmy4RKFFffnJfvakG2lubS5QrtH5V1ovTBiDaS9rjucJrJFMXdSJ3UV3/Hyuu3h7WmRs62hl6SogwL96VuTd2orLKaXsXmgmIEeTjQC4PC5PW7v56mBDRikI0xLq4+V1BKQe729EbNXC64cdN6BlGHgIZ0vua0S61dHk0qkGATugZQmLej5K599IdpF15zrcgr61BcfSt8XWwlH5JxTnlRKQqvlSKicUNpaarNaz9XYNr50SXllbL7WFV9UYrS+QfcXA0OpzRsj86iX46ew1uoEBO6BlLXIDe6UFFFz6w6YvJzp5bsS6I/TmbI3+Uvx4RjfsxNMDdrIIPqeLNxd1wOLVHpCAIzUzzG1E685n7IR1PyyWSLq5eguLo+TOvZRPrJcy/yLzZrcklBGXgGQFs/Z+lG8vTKI6rdMboR7/16WlriejvZ0Fv3aOp/4OZ2t7UB6pu/nERXN4XgoasfjmhDDtYWdCAxj77fFkem6nR6oaQ8s+fvCKNWvs6GXpJiBbrbS1q99h6rxtMukwskWOcgNxrazoe4pooLr03t4YGLqx9acogyCsuk//mno9shD/oWWFuY0+tDWsjrBbsTKDqjqL6+VaCHojgerKTdMZq/66xJvudbzmRKiiPjHTSeuQE378E+QRQkXd3K6EPMllAMLiR+reZe/umf0XTABFv5XiivoseWRclzQt9QD5rSHc0WbtX4LgGqPu0yyUCCvXRnc7K3Mpec4NUH1V1Rf7U3N5yQHRdHGwuaPb697MDArekT6km3tfCSGwQKr5W3g/xyTZHsh7+foTPpphUIcq0Y5++yyd0DpYkA3PrmwjtDNbMllu5PooOJaDmuFJqiYh+5l/MDdX6JadVSvr3xpHQe45rSj0a2lXQ9qN/Trvk71bVhZbKBhKeTDT0xQFN4/f6m01RQYhq57Ssik2jJXs2I+y/uaycPUVA/XhvcQuYT7InPoQ3IjVaUcZ0bU78wT9mFe3x5FJVVVpGpFFS+9NMxScvj08nnawpO4dZ1beomLcf55JtrcLitLhg/fnB+Z1hrCnSzo7SCUnpmlem0hOWmEz/u0zwf8BBKdwdrQy9JVaddr9RsWHF9boyKMhdMNpBgk7oHSgvI3OJy+uRP9RdeH0rKo1fXnZDXTw1oRv3CMLm6vm8UD/WpKbzeeIqKyyrr9fcH3T48fHBvG3Kzt6LT6UX06R+mMWTwp6hU+u14OlmYNaDPR7cjG0tzQy9JVfikq6GdpfydUtsupJrxzvHXYyOk0JinXi/cnUCmUBehPZl8sHdTnEzqwOiO/tQn1EM2rDjFiSeGq4GZqedH/+8eTeE1944+kVZAai6unllTXD2wpVdtMSDUrxm9g6ixqx2lF5bWttEEZeCj/PfvbSOvZ++Ipz1xOaRm3Nec0/DYEwNCUFCpAzygjtNo2Weboyk5V7295NWGC4xfulPbEvYUHUtR7/MBZ2TMWHxQcvh5COXTNW3yof43rN4f3kZm9PCsHrUU9Jt0IMG6NXWnwW0aycAVLrxW4xHm5cXVfALzySgUV+sK7+hyihObtzOe4rLO6+zPgvrHdS73dfSXdJSnVx5WbccdbjDBXap4mm9EYxfZgQTdGNHejzo3cZVJ4a+tP67Kzxi1mtgtkG5v4UUVVRfpkWWHVNnem+8FT6yIosScEmln/tWYcOluCbrh7WxTu4H9xV8xdDKtUPFvNf621Bw/21mZS0Hc2kOppOri6gkdUFytYwNaeEm+PX/48NRkPDgoy6uDW1BATX706+s1c1bUZt7Os7TvbK7c9z4d1Q4PDnrIubc0b0BbzmRJKhko53v30Yi28oDND9ov/aS+QPDzzdHy95Lr+2aNby8T2kG3hrbzrQ1Qn1p5WPE1eQgkiGR666P9QuQNee+301Sool2Hy4urv7wvXOYdgO5xO1ienrwjJpt+P4EHByWxt7aQh2uzBiRTr39W2dRrzoX+6PcztUET9zkH3eJC9pk1pz68uaCmzxi141bIPJCNh4txMfKKyGRSiz9OpNOXNSm47w1vjfRGPW8uuNbU5H24Sdk1uggkakzt0aS27/dnf0arrriacx77hnkaekkmI8DNnh7sFSSv39pwSnpzg3K0D2hIj9TUEb3y0zFKy1fH1Gve+Xpi+WGpleof5ilpXKAfD/UNlk5AmUVl9ElNIAfKuR88c3uovH7jlxMSjCsdp90+tfKIvJ7ULZCGR/gZekkmV5P3YU1NHp8Q8ywfpUIgUYN3j98Yoslb+2FPouJvFJcXVw9q6Y3iagOY2SdYjsRT8y/QN1tQeK00j/YPqZ16zR021DC48rM/Y2QHjHfCuLAcPeL1Wz/1ds1siR/2JsoMI1COGb2CqFczD6l1mbIgktILSkmpzpdVSnE1/9ypiWvtHB3Qfxr0xK4B8vqZlUfkuU2JEEhchm8S/NDNg2iUXHh9dXH1x6MwVMYQbK3MJXWEzd4eT2eziw2yDrg5apt6vf9sLs3aHlebxsA7YqBfPOxvWLivFPO/tPaYato/mspQsS9G8+wle6mfmrRgvyKLr/m5hh9aYzPPk7eTDX0zNkLudWAYL97ZnMK8HSmnuFwaYChxwwp/e67y6pAWZGNpJh+6Ss2N/t8vKK42FtxqlwNUPhni74tSg1NTpZap1/zAw0V9/NdvVAc/GtjS29BLMln898nZ1pJOnis0ifkEasKFyIsmd5JBbXyy9yCf+lcqJxjkzx+ecbTpRLrMyPju/ghsKBjBSeVXY8LluZNrKufujCelQSBxFU5F0eZGv73xlNQZKMny/Um1kylRXG14nDryxpAW0rFl65ks2nxKuXmQpkoNU6/f/OUkpeRdIH9XW3qtJoUTDIMfQl+8QzOf4NM/oykpB7MllDZ4dOHkjtLxbFdsDj2/RjmTr/nv29yawYjvDGtF4Y0bGnpJQEQhXo702mDNfZkbYShtZgkCiX/xQK8gauphT1lFZTT82930wpqjlFdcTsaOgx5OyWIorjauXe1pPTWF13wqUVqhvAdRMvUhQvde6rDxicKmXq88kEyrDqbI5gJ3o+KpvWBYozr4S256SXkVPbT0IO4JChxW9+24COnkxNPhP/7D+IvnuU5POyT1f3e3pJEd0GjBmIzp5C+p9dwS9tFlh6R+RSkQSPwLawtzWjmjK41sr+lisDwymfp9slV2+401fy2zsJQeXIziamP1aL9gauRsI7vC321VxzRLU+LpaEPvD9cUys5R0NTrBbvO0nOrj8rrh/o0pY6BroZeEtTk238+up0Ep8dTC+nNDSfxvihMn1BPqTVi32yJoyV7E8lYzd0RX9vymU/DeNAeGOeGVSNnG0rIKaHXazaFlQCBxDW4OVjTRyPb0qoHu0ohTF5JBb2w9hjd+/1uOpFmXMdOnHIx88dD0lYQxdXGyc7Kgl65S1N4/d22OKQzKNDtLb0VM/WaUy140NT/ftE8oE7uHkhP36ZpXwnGwcfFVoIJPilaui+J1h5KMfSS4CZOlp4c0Exe89TyP09mGN17uHhvoqRpM17rDEyxN1oudlZyT+AZRmsOpdD6w8oYkIxA4j/wDt6GR3vQK3c1J3src4pKyqchX+00qqFC3Neap3JjcrVxu7O1N3UPdpPADzuQyp96/eLao1RhhF13+NSUA4jPN8fI10/d1oxeG9xCdsHBuHAjhsf7a4ahvvzTccUW85uyx/oH0+gO/sTJCpySYkynlasOJNOr647L6wd7N5W1gnHrHORGj/S7dE+IzTT+ewICiRtgYW4mOe5/Pd2HBrdpJDcM7rbR/5NttC4q1aCFVsv2J8lulhRXj8HkamM/uuTcVAuzBrT5VAZtOY3Ca6VOvebc6F+PpdP4eftkiKWx4Haiz6w+UtsNiAv9H+sfgnkRRuzRfiHUM8SdLlRU0cwfNb39QVn39beHtaI+oZoZE3xP4M9lQ+Ouk1wIrh049/ygUNwHFOKxfsFSQ8X3gqmLDhh9jS4CiTrwdrahr8dG0JKpnaWXNBdjP7HiMI2Zs5diMvQfNfIpBB+nMp662TcUk6uNXbCnI03p0aT2JAmF18qccvvduAg5odwbn0t3f7WTjqYYfrgY/116cMkhWnsoVQKdz0a3pUndNX/XwHjx94rTGTg3Oj6rWFFdgECD5zB8N669bDRWVl+kF9cek6wFQ8wJ4b87XBv15IrDsuk5plNjen1ICwQRCtu8/m5cBPk1tKXEnBLZYDDmNsMIJG5yqNBvj/ekZweGSu9ffpi444sd9P5vp6mkXD+7SRmFmsnVXOF/RytvKaQEZeAdYi8na7lBcBEcKLNeYv0j3WuHU434fo+kERgK71xNXhApJ11WFmY06/72NCxc0ywClFGTx5tUfFq58eg5+mGP8RbuwrUHkPI8AO6YyPhUcNKCSMov0d9ucm5xOU1bdEBSG3mw7r0RfvTO0FYIIhR6T5g3sWPthtXrPx832g0GBBK30Nnp4b7B9OeTvWlAcy/Zhfh+WxwN+GQbbTp+TqffcO5jz0EEF1c383Kgj0dicrWScPvNl+7UDDn7eksspeShj7xST5fWPdxdrn/eLXp29VF6ff1xvddN8MPD2Dl7aU98jvzd4oFZA1p46XUNUD8nXdr7wtsbT1KUwmYYgSbN6dH+IfT9/e1lzsTO2Gwa+s0umSKta7vjsumOL7bTX6czZdgcpzV+PLINaqMULNTbkb4aGy6p68v2J9OCXcY5wBKBRD0Mp5k7sQPNndBBjqF4d5LTCyYvjKTEnGLShTd+PkmHkvLJycaCZo/vIHnboCx3t/Whzk1cJaf27Q2ajhqgPE42ljR7fPvazi2L9iTSuDn7JO1RH84VXKBRs/bQ0ZQCamhnSUsf6Exdm7rp5c+G+sfdtbgpA580P/zjIaPPjYZ/N6iVN62Z2U0G3HIrz2Hf7KItZ3RTE8fpUx//fobGzd1HGYVlMgOLNzg4rZEDG1C2fmFe9PJlGwy6+nt0KxBI1BPeAeTTCZ4XwLsBPMX4ts+2SwvG+syD58JqLuTSFlcHutvX2+8N+sM3+DfvaSX50ZtOpNP26Cy8/QrF3ZAeHxAimwmO1ha0PyFXOrvpekf5bHYxjfhuj+x2cn49t6pu4+ei0z8TdH9f+ODeNtTEXZMyxzV4xjq7CK6veSMn+vmR7tQp0JWKuGh2YaQMt63P04nk3BLZSOCTbU6C4O5Rvzzag1r4OOHboyJTezSp7Qz22NIog9TkXg8CiXrOkXz69lDa9ERP6cLB6Q7cgnHg59vrJYo8mKjJk9MWV/NAHFD2seXErprBQFyYZ8zFVHBjmwnrHukuO4LphaU0etZeWhGpm+4tPMtm5Pe7KTX/gjx0chDBqVagfI42lvTd/RFSf7ctOksmEoNy89yXTOss82f4IZCH2w74dBtNWxRJ++JzbioFmv+bI8n59L9fTtCdX+6Q7ATewOD6jA9GtJGZRaC+DYa3hraSTk4SlC46ICmtxqLBRR0m8xcWFpKzszMVFBSQk5NpRcj8tnJ7yDc3nJDjRsbjz18b0kIGEd1McfXgr3ZKygQffX8zNgLHlirAs0j6fbxNWog+PyiMZt5E0bxSrjOlrPNWFZVW0NMrj9AfNcOpxnXmriktpQi6PkQm5NKUhZFUVFpJLRo50aIpncjD0bpefm8wHqsPptAzq47I6fPiKZ2lyYearjOlrLO+8HU7e3u8NETQPnW19XOm6b2a0sCWXtKp579OILndPLd15dda7fxdJIjgNGtQt9zicqm5ScotkaDihymdyMbS3ODXGQIJPXRT+WJzNM3flSBdFLgAi7v2TOne5IYfLLi4eszsvbLzwMXVPz3UHXURKrLmYAo9veqI7Crteam/FMyq8QNZKeusD5yO8u3WWPrkz2h5aNC2jPV0srml35dPNrnRAtfWdAxsSHMndiRnW8t6WzcYF06F4V1sN3sr2vhYT2lBrpbrTCnrrG9xWedp3s6zEihqT6G5loI/27neke//fKrgYG0uX3Mjlz9OpNORlILa34NPq25v4U1Dw32oV4jHfwYhoB4xGUU0/NvdcjLRNchNanSvVyeLQEJFTqcXyoTJyARN3nSwpwO9dU+rGyqM5J7UXBfBxdU/P9IDdREqPL3iSdejOvhLXq1aP5CVss76xEMHH1seJacHno7WkrLSPsD1hjcQcs6Xy2kV/4jOOC9FlfxgwcOvuG89p1OCenF9HT80nDxXSB0CGtKy6V1kZoEarjOlrFNX+JrmNr+L9yRQXknFf/77XE/XI9hdggcOItBkxXRFJuRKu2/eqI5o7EILJne65oYSAgkVPjDysKh3fz1FOTX5bUPb+dBLdzUnT0ebaxZXv/TTMTneXjCpI+oiQLEfyEpZZ33jNIQZiw9IIGBp3oBeuasFtfJ1lgeJywMF+VF06evC0n+fScNDr3i6dn2lSoFx4+5/nNbKwegDPZvQy3e1UMV1ppR16tqF8iraEZNF+SUV8mBYzD/KqzQ/l1VSWVU1dQxoSIPb+pC7A1IYQYPrZCbM308FFyqopY8TLZ7amVztrehqCCRUqqCkgj7+4wwt2ZcoaQ+c0vL07c3o/i4BVxxRcnH1fbP3SitAHn7HcysAlPqBrJR16gI/EDy7+ojUTdUFDyjjhwc3Byv5uUuQG03vFSS7k2A6fj+RTjMWH5TX398fQYNaNVL8daaUdQIYq1PnCmn8vH2Ufb5cUuOWTO38j/RZBBIqdzQlX9KdtLmPHFVyZX5E44YorgbVfSArZZ26PJGctT2e5u88K+kp7o7W5FETIFweLPAPD0fNaz6uRi94YHySzcW6vPHELT6v1fpbKdeZUtYJYMxiM8/TuLl7palPoJsd/fhAF6m50UIgYQK4AJvrHz76/YwcUTFuFXcmo4iikvIp1MuR1j7UDfmQoPgPZKWsE8AY8cR0nmDOdXZcS/XTQ93+tWOLUq4zpawTwNgl5ZTQ2Ll7KSXvggQRP07rXLvRoI/rDEm2BsYpCpzS9PfTvWlkez/5Ne7SEaWdXD2hPYIIAAATx6dYX4+NIHcHK0lpeH39CUMvCQCMQGM3O5klFORuL7OFeEihPofWIZAwosE1H41sK38Zwrwdpb3bV2MjKMANk6sBAIDIy8mGvrgvnLhE5lR6odTeAAA0cralFTM0z488n0qfA+swAtHIdAx0pd8e70kXKqowoRIAAK7QPdid5k/qKK3DrS3Q/hcANHgw6bIHulBM5nkZWKcvCCSMEBdXYsw9AAD8mz6hnnhjAOAfGtpb6TWI0HkgwV1KtMUeAKAb2utLe70ZK9wPAHQP9wMA0Of9QKeBRFGRptjD399fl38MANRcb9ydwVjhfgCg3+sN9wMA0PX9oMFFHYYp1dXVlJaWRo6OjuiFDqAjfAnzTcLHx4fMzIy3fwLuBwC6h/sBAOjzfqDTQAIAAAAAANTJeLcvAQAAAADAaCGQAAAAAACAOkMgAQAAAAAAdYZAAgAAAAAA6gyBBAAAAAAA1BkCCQAAAAAAqDMEEgAAAAAAUGcIJAAAAAAAAIEEAAAAAADoHk4kAAAAAACgzhBIAAAAAABAnSGQAAAAAACAOkMgAQAAAAAAdYZAAgAAAAAA6gyBBAAAAAAA1BkCCQAAAAAAqDMEEgAAAAAAUGcWpEPV1dWUlpZGjo6O1KBBA13+UQAm6+LFi1RUVEQ+Pj5kZma8ewO4HwDoHu4HAKDP+4FOAwkOIvz9/XX5RwDA/9s7D+gqyuaNj6SSkEJCCCWBkITee+8oSFOQIhYUUbBg+fwrin62z4pdQBRQioqFpiCo9N5DCwQIJKGFTkIKCWmE/3lm714DguQmt2yZ3zkeL4Qku3d33/vOzDPPWDhx4gSFhYVp9v2Q9UAQnIesB4IgOGM9cGgggUqEegL+/v6O/FWCYFoyMjI4YFefN60i64EgOB5ZDwRBcOZ64NBAQpUzIYiQQEIfFBZepfOXcinU39vVhyLYiNblg7Ie6I+c/CuUd6WQ/L09XH0ogoHXAy8fX1oad5b6N67i6sMSBF2z72Q6ubvdRnUq+TttPdCuoFpwCa8t3Eet31tJv2w/LldAEExMzNFU6jB+FbV5byUtjTvj6sMRDEpeQSH1n7iRnvlpFy3ff9bVhyMIuiX/SiH935w91HfCBvpz72mn/V4JJAQr6w6dp9lblQDif7/vp5Npl+XdEZxCZk4+TVuXxBlwwfXMjTlBw6ZtoQuX8ig77wqN/n4Hfbk6gRv3BNeCa/DN+iQ6n5lriEvh6V6GutapyK/fWLiPsnILXH1IgqBLpq5LovizmeRf1oPaRAY77fdKICEwl3ILaNyCvfzay70MZeVd4T/LxkFwNLjHhkzZQu/+cYDmxJyQN9yFXCm8Su8u2U8vzoul/CtXqVf9SvRQ2+r8tY+WxtOzP++WYM/FrI4/R+8sOUC9Pl9HuQXGCLyf7V6TwoPK0qn0HPp0+SFXH44g6I5jKVk0YeVhfv3fPnWpvK+n0363BBIC8+FfB7kCEVa+LM17vB1niVChmL/zpLxDgkOBdvO+Voq729drElnqIDifjJx8enTWdpq2/gj/+ZnuNWny/c3orbsa0LsDGpB7mdto0Z5TNHTKZjqbkSOXyEVB94SVCfx6UPMw8nJ3M8R1KOvpRm/f1YBfz9h4hPYmp7v6kIQbaO8/W36I5u1Ipst5xghgjbQu/Pe3fZRbUEjto4NpQNOqTv39EkgItDUphb7bfIzfifH3NKKGYQH0nx61+M//+z2OzsmmQXAwg1uEU4ifF2ckf92VLO+3C7JZAydvotXx57kiOXFYU3r+9lpUpozSoHd/6+r0/cjWFOjjQXuS06n/pA0Um5wm18nJbEpMod0n0vgajexYw1Dvf5faFalf4ypUeJVo3K+xVHBFEgpakJzO3nqM+k3cQH0nbqAvVh6mF+buoVbvrqDXfttHcack4NMCSPCsP3yBE8Dv3N3Q6UYLEkiYHGQWXpofy6+HtQqn9tEV+PVjHWtQw6oBlJFTQK/+tk8kToJD8fZwo9GdIvn15DWJsolwIpsSL9BdX26khHOXKNTfi+Y+3pY3dNfTNiqYFj3VgWpWLEdnM3Jp8Neb6fc9p5x5qKZn4ipFujCsVTWq6Gc8Z73X+tYlf2932ncyg2ZZkluC87Pbu45fpLHz9rDxyqu/7qO9J9PJ060M3VEvlKoF+VBmbgF9v+UY9ZmwgZMKP249zvJowfmkZedxTyt4pls01ajg6/RjkEDC5Hy6PJ6OpmRTJX9vGte7rvXv3d3K0EeDG5GH223spLE41nkOAII5ua91NSrv40HHUrLlfnMSyDYO/3YbpWXnU+OwAFo0pgM1Cgu86b+vFuxDC55sR93qVOQy+tM/7aJPl8WzbbTgWLYfTaUtSam8Jo+yBN1GA8HRy3cqn0OfLIunU2L44fTKJCoPAyZvojkxyWy0EBXiy5r7La90p6nDW9CaF7rQDyNbU59GlflejE1Op1d+3ctVChhmCM7lgz8PUkpWHid4RnWKIlcggYSJ2Xn8In27QdFDvzewwT+84uFD/GSXaH79xqI4SrlkDJcQQZv4eLrTox2VDdKk1QmyOXUgkI3AIQfZxoLCq3RXkyr0y+i2xZof4+ftQdOGt7BWkCasSqAnZ++k7DzJSDqSSav+7o2oEliWjMq9LcOpRfXyvIl9fWGcVMOdxIVLuTR8+jaKO5XB0rmBTatydXLF8515XQ6yNO9C7tihZgX68r5mtGVcd3q1d12KrODL1wuGGUhOCM5h25FU+nm7YlDy3sCGLG1yBRJImBS4fYydF8t6VDTmdKsTesN/91TXaKod6kepWXn0lqV8JgiOYnjb6ixtgMxGZhc4rhT+0IxtVunIiz1r0+dDm7C8rLi4lbmNK5gfD27Mkoe/4s7QoK82i2W0g0A/ytpD5/l9f6KzktwxKtioYlOEbPeKA2d5UJ3gWJAEGDlzO1eDYbiybmxX+nRoE2oZEfSvevvgcl70WKdIWvl/nenpbsp9id6JFTIPxCl7uHEL/pal41q5CgkkTJzdwmatQjlPer1vvZv+O0S4kDih5xINPctkMJXgQJDtfri90kQ6cZXMLbA3eObv/nIjbUxIIR9PN5r6YHNOFpS0OQ/Z8Z9GteZ1ZP/pDLpr0gbacSzV7sdtdtRqBCpHkJcZnVqhfjTaItN4c1EcN/0KjqtOjvlxF5soQFo665FWxapMFgXrB8wZhrQI4+TkmJ92cp+F4DimrE2ixPNZvPa+3OtvWborkEDCpDZuaGgFsNy7ld8wNNOq9g4WY+nZsqgLjmNEuwjy9XTjjSk88wX7sCb+HA2YvJF7oqoGlqX5T7SjO+pXKvXPbV49iBaO6UB1K/vzALthU7eyRaRgHw6eyaBl+88SYj1VamoGxnSLpohgHzqTkUOfLJPZEo5qrH5t4T5adfAcy5m+eaglRYWUK9HPQjDx7oCG1LlWCOXkF9LIWTF05EKW3Y9ZIEo6f4nlv+C1vvUowOdaWbqzkUDChCPUIWnC4KneDSvRnQ0rF+v7nutRkyJDfOlcZi69s0QkToLjQGD7gGUIGjzzZShi6cD7h16oR2Zup8ycAmoZUZ4WjmnPG397gcBk3uNtqWf9UMq7UsgWke//cYDXGaF0fLlaSfr0bliZoiuWbJOnRyC1g5UlmLX5qMyWcACo+v607QQrDiYMa0rNq5cv1c/zcCvDs2fg+Ag59MMztnHvhWBf0LOKeUudaoVQ/xs47DkbCSRMxpS1iZzphR/8W/2VAUDFXdQ/vKcRZ8Xm7khmva4gOIpHO0Ryhgye+fDOF0rO7K3H6e3F+1lyMLh5GP3wKKRIXnZ/S3293Omr+5uzBSGYsi6JPlx60O6/x0wknr9Ei2MVi90xXc1TjVBBUy82SlevKg6Dgv2YE3PCOkX8rf71qacdqpPqOjD94ZY8qRw9F+i9ECMG+7E5MUWZGeFWht65q4HTZ0bcCAkkTMThs5nWqahv9qvPA8BsoUVEED3UNoJfv7Jgr/hGCw4D9ya88ot65wslmxPz+YrD1knVHw5q5NBpyGiUff6O2vx7wIyNR2UKdin4ak0ib6J71A21awVJT0B7jyZzDEtEYkGwj8xx3IK9/PqJLlH0oOVz3Z7r96wRrbjnAr0XT83eKbOB7MTnK5Tgb2jLcM30S0kgYRIgMXhxXizLDuABj6a9kjC2V23ONJxMu0zj/5Rso+A4RneOZOcWeOfDQ1+wnR+2HGNpAZxY4KrirOwVKh+w8ET5fbJFyyvYxonUbPp110lrv4BZiajgy86CRTdRQukSirBrxp4A7+vYnrUd8nZGhpTjngtUlhEEoioqlL4asfVIKlcjnuzqmpkRN0ICCZMwY+MRzub4ebnTuwNKXg6D1/8HA5VsIyZbbkkS2YngGCoHlKVBzcOvca0Rig/kBF+vVfT1z3SryfplZ6G6uABosE+nX3ba7zYKuHbY7HWsWYGahN98SKAZQBCMqsSa+PPiBmSH5mrMfGgXFUzjWa7suOQCei4mDmvKr2E3LRWl0l27zyyB9L2twvnzUSuU0fKbtjHhAn2zXiYllhY4J3y0VNGXvtqnbqlvwPbRFayyk5fmx7J8QijdvY7GVGSKhGt5onMUbyDQk7NHZA028d3mYzzxtHqwDw1opmR0nUnbqGBqXSOIq6BfSlXCJs6k59DcGMX56uluNcnsVA/25QFpQJXqCbazOPY0V3i9Pcqw/NAZA8zgDHdPszB+/frCfTJotIRsTkrhAXRcjdCYe5tmAwk0BN//zVYe/308JdvVh6NbCguv8mY/t6CQ2kcHs67OHozrXYcq+XtzM9Uny6QJrjRg8BoaUwd+tUma0q4DGlBVhqfa3Qm35lJuARsruKIaoYJM538sVYlftp+g5IuyjheXKesSOQBrVSOI/xMUeZeaVNgpMwpsJiu3gN774wC/xkY0rLzz9PUv3Vmb1RCxyenc5C3Ynmz8fPlh6/C5SgG2zfkwbSBRv0oAl3QLCq9Ks2UpwLh6RLEYPgVJkr3KmP7eHvTeQMX1afrGI7KwlyLQ+8yyQDzcLoKlY8K14EMPt+3y/WfpwOkMeXuKwaxNR+lidj7VqOBb4n4oe9AmMpglFPlXrlptTIV/53xmLv207Ti/VqcFC0pV4h5LZU2qEraDquDp9BzucRzVKdKpt1RFP296todSWftwabzMoipBb8S2o6lcQXpCY9UITQcSQNXYLth1UgablABkAFHRAWioCg+ybwaiW51QLjfDVhKzKTCyXbCNJXtPU/zZTPLzdmfLU+GfwDsfHvpAJDK3BlOAp65TJKHPdq9J7i6oRhRFrUrMjTnBDcTCv4OZHxjo1Tg8kDpEV5C3qwhjutYk9zK30bpD52nHMZmcbIu8+Zv1R/j1a33qsZ27s3moXQTVrFiO50uIlW/JeiPua1VNc9UIzQcSTauVZ4chNJx9IW4NNt98sHfLyrvC7inD7WzvpvJ6v3rsSZ9w7hJNtFjLCsUD97XqQoIgwtXTKbWM6qGPwAve+sLNgeVq+uV8igrxpX4aGFbUMiJIqsvFJC07j77ffJRfYx6HFjzitSZ1VPX24uBUfP73exxL5TB1+vZ6oeQKIK98s399q1GLVJeLB+YobT960VKN0I5Tk24CiaJViYV7TlHCOWlGLS4YGoehJbBeQ1MV/N0dQaCPJ71zt7I4fLU2kfadTHfI7zEii/acpMTzWRRQ1oMe6eCYQM8owEMfH4Dw1J8sEpmbggBimsWg4tkeiv++FlCrEvN3nqSjF7JcfTiaDgKR/MH9jiSacONeCVQl8Pm245jYQt+KlQfOsv0qrLTf6FfPpcEpjFp6N6zEKoY3FsZxwlO4RW9EkWpEqL/2qhG6CCQaVA2gOywbiM/EraFYnM3IsXo2IxCDn7Mj6dWgMi8OyLBD4pR/pdChv88IFFwppC8s9zP0qn7eUo0oblXit90nRSJzE6ZvOEKZOQVUK7Qc9bHIwbRAs2rlqUvtEF4jJoqV700labDpBs6c+aE3INEd1FytSoiD07+Rk3+F/mfZC4zsEOnwvUBxeJWlVWVY879ojzK1XbgxGxOUagQSwk9qtBqhi0CiaDZrSexpKYcVI4J99de9vJloHBZAIzvUcMYlorf6N6BAHw9221LdYoSbswCZ2ZRsCvb15CZr4dZAM96plrIZRfVL+KcsBoEEeE5D1QiV//RQ1vFfdyVTksjT/gHkHhk5BdwT1Kt+JedfIB3xVNe/qxIxMqzypsA+H86Kof5emmncrxpYlp6yNAzDRQpuUsItqhGtq1FFjVYjdBNIoMzbp5GSXRNd5L+DCH/FgXNcxvxwUGOnNVqG+HnRm/0UidOElQl0SGYi3BRM+52wSsmkPd45iny9xKmpuKgfhvNikmXI2XWgmTIzt4DqVPLT5EYUgWD3OhVZ1jBhpWSSrx8eqDbDPtU1ymFSVCNVJQa3kKrEv3Ey7bLVMvuV3nU19TnzWKdIqhbkQ2czcqVCeRM2JFygmGNKNQLzlLSMLgIJ8Fz3mmwBuTTurOjwb0LKpVx66/f9VneL2pX8nHmJ2GYSGwU0db04L5Yzx8I/mbsDnvqXOfh6oE11eYtsbNxVh5ypzkQC0cWsPKssBtUIrW5E1eoyEh7S8/Y3mP4NNxtsrvo1cn2DvF5soVGV4A2XVCX+wXtLDrD7F+aQ9NeA6UJR4Br1et96/PrbDUlioHHDaoSSbLm/dXVNVyN0FUjUDPWjuywPw6fLlXKPcC1vLIrjDyNkJF3R3Q9N77sDGvLgGUwhVmUWwrWa1UkWjTg0j2U9nW/Dp3fUSb/w2ofnvkA0dX0SN+nWr+JPPeu7xpXFlp435Bi+EJc365owdV2idU1wtV2vHqsSX4vU8Rq2JKWwwx3yCW/1r6/JfpvudStS19ohPGPmHUsfh6CASgTsjeHU9HgX7dvC62rFUl1IVh08R7tksuU1/LXvDC2OPc3vz0eDGvMN6Argcfxqn7r8+uNl8TL/4zow4RdDgTAVfFiraq64RLoHE9qbhAdytg2e+2YHlUgMoFP7ELS4aSgKKiZgcewpkUBCprcjmSUelQO8aaDF2lQoHo91jGSlAuS8h0VOa81mq8lWaOshDdciWKde71ef9yxwlZJp5X+j9pnC6hjD/LSOrgIJTGkd0FSZbClViWubLF9buI9fj+4USQ3DAsiVDG0Zzpu93IJCeml+LE9vFpTMozpQ7alu0S4ZCmQE8AGk9krAcx/3v5mBxCs77wo1CgvgLJ/WqVfFn+5sUImd+FTnMrMCh7uv1iibBvRLuSoBpFfgQoQKF1Btj83O5qQU2nZEmYIMibPW93TqtHKzrwUqkHwiMEaA/FhH55jllBbdrVo8qdXi1rBddJHM24sPsMQDA6ie6V5TExu9DwY2Ih9PN17QZm895upD0gQ/bDlG5zJz2bViaItwVx+OroHHPjJtkPPAe9+s4LmftVk/1YiiVQkcKuQXZh5M9duuk9wUi6GeSMAItjOqkyLj/W3XKbY+NzNFtfVanYJ8PQh2UJVYe0iqEkDt/UOArAW7XkMGEoouUllwP1kWT2Zndfw5mr8zmT+U4dKklSw3rtNLverw6/f/PGh633+4sqiZx2e6R0vm0Y5VCTQZw4PfjEAbDokXpF6Y06AXYAShzrkwqxMfzCgmW9aEUZ1qaGbt1hvNq5enlhHl2YDBzEmF66sRqHDpZ1q5VCUAAmEExGC0Tq6fLgMJdbKlp1sZ2pKUSpsSL5BZwebp1QV7+fWIdjV4QdUSD7apzgs8ZBev/LrX1FMsZ206RikWVxbRQdsHWJzCcx/e+99tNl/V61xGDle5VDckvVQjilaXzezEhx6RIxeyqLyPBzuzCKWvSqD6bdakgh6rESpSlVBAIIyAGPsmDPHUC7oMJCANubeVUpX4dNkh025QP/jzIJ1Kz+HN6Qs9lQZGLQELyvH3NGIfZEjR5u5IJjOCD7YpFlcWbJ48xJXFbveXOu0aTdeX866QmUA2G31ISCB0qlmB9Aac+FRbSrNNKEbf2OTVypqAoaFa8vjXI7Adh7QXg1h/3naCzIgeqxEqUpUg3ieoMvDRlsBYL+gykFAnW2KDCpusdYfNV5VAJWb21uP8+oN7GpKPpzY/iKDxe97iHf/24v2m1LDO3IiG4HyKDPHlWRuC/ejbqDKFB5Vl2+M5MebZQJxOv0w/blOe/+d1WI1QQU8XLCpXHDhLsclpZCZJavzZTCrn5U4PtpXJ9vZIKozqpNhkTt94hId+mgk9VyNUzF6V+HnbCQ6EERCjB1BP6DaQCPX3tg7zgoOTmaoS0Nu/PF+RNN3fuhq1i9J2NhIZt8ZhAfyQvGoyiVP65XyrmwgbBUg1wq7g/VRlDWhSgwuOGUA2G5slDJtqFxVMeiUqpBzdbXHi+8xE84HUfqn721SjgLIerj4cQ4D7CEM+Ya/9+x5FZ266aoSb/qoRRasSA5ua08Epr6CQA2CAgFirA0UNF0gAPDBlPdx4+BlmS5iFj5ceouOp2VQlwJtevlNpaNb6Zg+N4B5ut7GtGabamoVv1yexhr9WaDmZWOsgBjcPowrlPNn9Brpzo4PzxDwSvTk13YxnutW0esmbYT4Q3AZRSYcEZWR7fdg76gEvdzca0T7CmlQwS8KqaDViWKtwXVYjiva/qlUJM6wFKgh8EQAjEFYTK3pC14EE3vTh7cxVlcC0wxmblMj1vYENyc/bQzcuLepE4jcXxdGFS8afSHwxK4+mW1xEsOHTW5ZBL8Dt5pEONayZXqPPLcEsEjTktY0MprY6rkaoRFTwtWYiPzNBJlKtRgxqHkYV/fW76dMiaFr39XRj2diaQ+fJbNWIJ7ooPWN6pXrw32vBFyuNvxYA7FtVy1cEwgiI9YauAwm1KQULR9ypDHb/MPpAs7Hz9vAgJ0w87FJbXzq6J7pEUZ1KfnQxO5+DCaMzdX0SXcot4HkHPetXcvXhGBrIHP283OnQ2UusPzcqJ1KzaY5ajbD0HhkBJBkwH2jdofO041gqGRXMzED1HDmFUR0VTb9gPyATG9aqGr+eutb4A+qMVI24viqxxiQVyjWHznPgi32sXt3bdB9IBPl60ghLeRgaWyNnIyesPEyJ57O4EvNa37qkN+BW9NGgxrxILI49TX/tO0NGBRUXNFmrzbBSjXAs/t4edL+lZ0rN+Bq1GlFQeJU6RFfg/gijAH00MvTgs+XGzUROWavcm70bVuZKjGB/UJ1EUIpMvdEb+I1UjTBrVWKqJeBFAKzXfindBxLgsY6R5OftzlEdJqUakb3J6TTFUv565+4GFOjjSXqkYVgAjba4a7y2cB+lZeeRUTcMl/OvUKOwAOpRV1+VI73ySPsI1p1Df27EqffHUrKsFsr/ud31E+wd4cSHPqoNCRdoa1IKGbGa9Hus8vmk14ZYPVAlsCz1s9gKq5+ZRsSI1QizVSVik9M4GETgq8pz9YghAokAHw96tEOkdUoqJoYaraP/xXl7+Lxgd6l3mQwsH2Fxdj4zl95efICMOChMHZCmx0FhegV6czWrbcSqxMRVCbwGdK4VQs2rG6caoRIe5ENDWijzgT4z4LRruLfh+nWqFUINqga4+nAMjWoF++fe0xyAGxEjViNuVJUw8oyZKZZAF/N0EADrFUMEEmBEhwguC0H6s2jPSTIS2BQdPJPJMq63+tcnIzTHwsUJ++v5O5MNp2lXB4U1qxZIXWqFuPpwTAV059CfQ4cOPbpRSDx/iX7dddJwvRE3qkpgY7QlKZU2JlwwlNRRddp6QqoRDgd9aQjYkFNUG1mNhrrBvtdg1YgbOTjtPmE8idqRC1kc6ILHLIGvXiljJI20moWAB3GBQfzk489k0qTVyoLxRr96FFzOi4wApvGOaKeU8l5dsJenOhpmUJhlUOD/3VFbqhFOBrpz6M+L6tGNAFzpkM2GTK5JeCAZFWTl7mutNMt+uDTeME586JdCcgHXrk2k8apJWuTJLop8bG5MMleJjcTmxKLVCGPK5FCVGGCdK2G8CuXXcBi8Sjx8DoGvnjFMIAEebhfBWfujKdm0wJK90zMIhuDSlH8FG4hQLn8ZiRd61qJqQT50Kj2HPvjzIBmBSasUa069DwrTM6r+HHp06NL1zr6T6bQk9jRX8BCcGh1UJdT5QMv269+JD0mS7zYrxgvY9InU0Tm0rhFELaqX5/X4mw2KZbpR+GKlsrEe2jKcKgfoVxJzK8Z0jbbOmMF6YBROpV2mBbuSreud3jFUIOHr5U6Pd460Ohyht0DPfLvhCO1JTudG8ncHNDDcB5CPpzt9cE9Dfj1763HalHhB/9acMYp84f+kN8JlQH8OWQMy+EaQNXy8LJ7/j0SC3jNXxQGudI90UAaLfbIsXvc9b6hQYigl+sJurxvq6sMxDfi8VDdpP2w5xnN9jMCWpBSW/sGYwKjViKIV5ruaVDGcg9PUdUmcIEZ1EuoMvWOoQAI82CaCP4iSL16muTuUTZ1eNdGfLFeyDq/1rUehBh1c1C6qAt1vkTK8PH8vZecVkJ6rEVgcYM3ZOlKqEa5E1aEjsENTv16BfAHOJXD1gI2wWRjVKYp73jAXZOHuk7qe/aNmw1EpExto59KldgjVq+xP2XlXaOYmpSqkdyDdVqsRem7QtWXGjNr3ZgQ73wuXcunn7ccNU40wZCBR1tPNqo3Exi634ArpDczCeHl+LFdUOtasQIMtTjRG5eU761CVAG86nppNHy/Vpxby6IUsmrdTteY0z4ZPqyDTAz06dOkzLZPg9Qb6Az5aetC6aYBm2CwgiFAlanBw0mt1GQ3yCGQrB3jTXU0UvbfgmqoEAgkMCNUzSCzArUmpRhhjE3oralTwpbstzw6UJnpn+oYjlJNfSI3DAjjpaAQMF0iogz0q+XvT6fQc+nmb/qoS0zceoe1HL/Kkw/cHNjScpOl6/Lw96L2BisRpxqYjXLrVG1jgIMFABswIpUq9g2dGLfvDilePzfyoRGAd8HIvw1k5s4GeN1SXT6Repl8sGTw9gfVAbfh/tGMkzzgRnE+vBpUoMsSX0i/n0+wtii233nsjBrcIp6omqEYUdXBCVWLFgXPcM6ZX0i/n0/cWa/gnu0YbZm9nyJUN9qJPdYu2ToJFeVkv/LTtOL37xwFrpj6svA+ZgS61K9I9zcIIJi2PzorR1UCxhHOX6DeL/MJM8hOtAz06dOmZOQVWJy09VSXhWqRuqI1o71ic6vIzlnV8wqoE3cke/9p3ho0/An086N6WynwMwfmgWVeVOk5bf0RX+4Gi4DNxY4JSjVBVF2YhMqSc1WxGz3MlfthyjDJzC6hWaDlD9UsZMpAAQy0R+7nMXL54egDOHuMW7OXN9ENtq9MDbaqTmXj77vrUNjKYy88PTd/GFnd6AE1g6AeFs1ajMONac+oN6NFVeQx06nraQCzZe5rnYPixgYS5Ng1FGdqyGoUHlWV50KxN+ljHVVnaV2sT+PVDbSPYCERwHXc3rcr7AejT51oMMfTaGzGoebhpEoxFGWPplVhx4KwuqxLZeQVsoAOe7BJtqH4pwwYSKCM/bclmfb02UfPZrG/WJ9HrC+P49WMda9Cb/esbpuxli4vT9Idbcl8ImuNGzNxG6w+fJ63P+Vgce4pfSzVCe0CXjv4bbETVgW5aJ/9KIc+NUAcVlff1JLOCdfw/PWpZ13FIA/TAhoQLtO9kBtvYoqIkuBYPtzLWOVNfr4Vjjr56bmKOpvI9BdMFs1UjVKIrlqN+lqqEHnslft52glKz8tjyvm8jZdaRUTBsIAHuaR7GF+3CpTxNZ7Mgv3pniSJneqprFL3Su67pgoiicoZpw1vwkBY0JI2cFUOrD2p38vXnKw5xBal3w0pUr4rxrTn1uBGFPh1Ar64HK9H5O5J56mmwryc90kEZ2mj2YBBSAAQR03Ri5/vVmkRrv56ZA0EtAcOCCuU86WTaZVq4W0n+6AXV+nRQ8zAKDzJfNUIFyWFsjTBfJu6UfqoSuQVXrFbkqDC7uxlr622ss7lBFuLZ7kqT4pR1iZpruET5GxvRjyxaaGTeXpBpyNzj8vUDzaln/VB2axn1fQwtjTtDWgML2Z/7zvDC9pwlaypoj3tbhbNOHXp16Na1DORX6qYBzXjlRBLDGnd1EB+MKLRu57v7RBptSkzh7PGjHSUQ1NLnysgOSlJh8poEXSQVwI5jF2n9YaUaYRS70JISXdGP+jXSX1Xi150n6UxGDoX6e9E9zY3n3mboQAJgmAkcG9Ky82nmxqMas3aMtzYOje1Vm57tUdO0lYgbZZIn3deMS4CYzfDk7J1WCZFW+MwiP8HCVivUz9WHI/yLZE6Vl0C3jmdPq6CfC25zkGOp81UEojvqhVLj8ECWPKKCq2W+tlQjoMs3g8+/nnigTTXy93anpPNZmkxO3Qg1sQAzEjNXI1Se6a5UJZbGnaX9pzJI6xRcKaSvLO5tj3WMJC93NzIahg8k3ItUJaatT9KExhYbmXeXHKDJlg+c//apy803wj8rSp8PbUIDm1bl7NEzP+2iXy1j5V3NnhNpbEWHfikEgIK2QcMr9OrQrUNrrEVgMqCuCbinkEEVFJBgGdtTqUrAgSv5YrZmHdyW7lc2qI93VrLfgrasxtWkAgJSLScV1GrEukPnuSpn9mpE0apEn4aVr7HD1bpxxrGUbCrv48FSRyNi+EDi74xxOcrIKaBv1ye53NbxjUVx1mmnb99V36rhFm4cCH40uDG7cKES/fycPTRnu+tdN9RmWGQdo0LKufpwhFsAnbq6iKv6dS0aLqAZL7KCL2cfhWtpH12B2kcHU96VQs1aQE5dl8g9U6igYMMjaI+H29fgpELcqQxaHa/d/jsl4bifX9/TrCpVC5ZqhMoz3WtaqxIY0qdVrhRepcmrlc+bEe1rGNa9zRSBBGy2VOeP6RuP0sWsPJcFEa/8upcHZOEh+GBgQ3qwrTh63ApkYzCYD2VpfEiPnR/rUkvfHcdSaa0lS6RWuwTtA706dMbQr0PHriUQQHyzXkkuPH9HLcM149kL9JCBBTuTKeFcJmmJ0+mXrc5gj5vUWUcPBPl60oNtFWv19/44qFkHJ8wm2nk8jXw83aw9QoICpMT3tlQSQ28uitNsv8ucmBMUfzaT/LzduSpuVEzzadWzfiWqW9mf5QNTXVCVwI3+4rxY+nn7CZbDfDyoMd1r0DKXo4LBt+9qQI+0V5oX//vbPpqxUdl4uaoaMbh5GFUP9nXJMQi2A706KkhFdexa4as1Cbw21a/iT70bGMsa0J40rVaes/3YN3yyTFuyhm/XH+F+rjaRQdSsmky31zKQCSGggBRNnTSsJbJyC+iDPw9ajzXU33wDKW/FC3fU4g36/tMZ9IsGVArXAxn9xxYjHZixBPh4kFEpY6aNqOrzj6ZrDKZxZrPNf37ZTfN3JnMW+/N7m7I1rWC7Tvq1vnWtA7re+n0/W3o6ky1JKdbpomMsc0oE/aDq1qFjxyZCK5nsWZbNzIs9axtqUJEjeKFnba7owjEtNlkblaW07Dz6cZsyPf0J6XfTPAFlPazVrc9WHKIUJ+4HigNcpc5m5LJ9/UixgL4hweW8rEqTj5fFU3q26/tfiwJXqZSsPIoK8aXhlgqYUTFNIAF61K1IjcIC6HL+FadtQGFf+vRPu2jRnlMsq5g0rKl11LtQsmDipV61WSMJ3v/zIE10kg0cNKufWrKg8CQ343RRvQPdOjLakMg5Owi9GRNWJvA60SoiiDrXCnH14ehC1jCgiVJZUq2zXQ3mFMFRql5lf+pUs4KrD0coBljDcb0ycwroE0uVWQscT8mmaRaZ46t96orpwr8AiVrNiuVYGvq5hhqvE85dolmbFJfQ1/vVZ+MYI2Pss7vBJvQ/lqoE+hTOZeQ4fAjJk7N3cObM060Mz0a40+I2IJTuOqK6hNImwIfAJ8viHe7AgUrEtqOpbE0rDhr6RdWvQ4N8Ku2yS4/l6IUs1tGCF3sh0y7ViOKAdRxVQfjrb05MIVeSnVdAMzcpG78nukTJNdQJUAe80a8ev/5p23HNDDh7Z8l+Tix0iK7ASQ/h5mCD/rrlGmJPd/is6/umrl69Sm8v3k8FhVepe52KpkgOmSqQAF1qhVCzaoGUW1BotVp01GCpUd/tYItQL/cyNHV4c+ohi4JdGdOtJr3Suw6/nrgqgTWljgom8HM/Wa5kP+9rVY0qB4g/vF6Bfh06dujZv7W4p7kK9Nugf6pr7RBqGRHk0mPRE/DTV5stP1rquOe+OECffTE7n6oH+9CdDSq57DgE22kdGUx9GlXmCiWksq62g91w+AJPbVaDHEks3JqONUOoR91QXkf/t9j113B1/Dk2Y0Gi4799lSDH6JgukMCDqTogwI8c+mRHZKhGztrONxNs5mY83JK61K5o998jEI3qFEVvWjISU9YlOWwhWXPoPO06nkbeHmXoya7iyKJ3VB07MpGucnHDMCVIHlXdv2AbT3eL5ucRzjYrD7jGxhOOP9PWKeYdozpFituWDnmld11O9sFG9I+9rhtSh17Kt36P49cPtqlONWXIabFB7yRUH6hQInnrKvIKCuntxQf4NYxhalQwhxmL6QIJ0C4qmFrVCGI/8kmr7DslFc4rD0/fzjIYX083mvVIK2oXLZpZR/uCvzegIb+esfEoOzrBatdeIDBRp1gPbxtBFf3EQUPvQMcOhyTo2mEn7AoLSMjxQL/GVah+lQCn/369U9Hfm73Z1WZLez7zxV0X3lm8n06l51CIn5fM/tApVQPLWg083vvjAF3Ou+KS44Cl+eFzl3hwmdpELBQPuCeO7FjDKg2DrNwVzNx0hI5cyKIK5bxMZcZiykCCqxKWXgnok0+k2mdKakZOPg3/divr6P283Om7ka05YBEcz32tq9GHgxqxm8vsrcfp5QWxdvOWXr7/LMUmp7Of9+hOMjzQKGvA633rcb8Lru9zv+zmjKCziDmaSisPnmMJg+omJ9jO452i2ALy4JlM+j1Wqe44K4jAphNuW1hzXutbT5pidQwCiSoB3nQy7TJNWed8EwY0C6u24lBMGNkq1FGgb7GinxdPkXaFZPVcZg4bZ4CxvWrzFHWzYMpAQtVGopkJOml7VCVg//fAN1u5zA5rudmPtabm1cVL3JkMaRFOnw1pwnM65sQk0wtz95R6c4gs52eWKboPt4tgyznBOGvAlAeas5Z1SexpnvPijMFG2IR+aHEbGtIizDTlb0eADZeaTcZGzBmVJVw/VEBUZx1UQ8WJT9+U9XSjcb3r8uuv1yZyQOHs6mRGTgHPuhom86VKRDkvd3r5TqVnEnu6sw4207mej5fGsyIFzqCDmpnL3t+0gQRQHZzm7Uxm95TSZBPum7aVs9YYcvPjY62pUVigHY9UKC4YODZxWDO22sWU2Wd/3l2qzcVfcWfowOkMXqSggRaMRdc6FWnSfX/fL+MWxDpcIrPu8AXWY6MaotoYCyUHAX6Fcp6ciVQdsBwJso5frlay1v+7q75s/AxC30aV2YI5J7+Q3v9D0bk7g30n07lXC6DBGlVKoWTc3aQqNa0WyJJVVAydRWxyGs3dkcyv3+hX33SzgEwdSKBi0KV2CGchMTykJJzPzKV7p27m6YrQxf30WBvRO7sYuHBMvr+Zkmnee5qemr2zRJpJ3Bdqb8QjHWpQoI+nA45W0MLU+y/ubWqtZL2+aJ9D3b/gMgSGt6ku7l92wNfLncZ0VfTIWMfhmOcovlqTyAPMwH/71OWeKcFAckd2SiJaHHuaHZQcDfYPo7/fwZPa+zSsTG0igx3+O40MNvBv9qvP13Dh7lM0c+MRpzRYv74wjp2/7m5SxZRKFFMHEkDVJ8NT3tZJtyidIYg4dPYSa/N+HtWGalfyc9CRCrZwR/1KNPXBFpz1hZ3e49/vsHmDsTj2FDe/+Xu7y3RREwSfnw5pwh9AP2w57hD3L1Q6vl6bRPtOZrARA2YOCPZhWOtq3DSLacDIROLD3d58sz6Jxv910DqB/NGOUqE0Gg2qBrC9N8AMqEMOnEuApu5Hv4thGRXkje/c3cBhv8tMNA4PpJd6KRInrOOrDp512O/CZ8TL82Np94k0XtNfvlORx5kN0wcSkCDBgxgZgS9sqEpgkNXQKZsp8XwWN2nNGd2WoiuWc+jFEmyXrXz7UAu2iFwdf54e+y6m2I4c6K34wtIbAUkT+l4E48vixg9sZHX/+uAv+80nSDp/ie6dusW6EUUQIf029sPL3Y039+pgqv6TNtCeE2l2+/nfbz5K7yxRpBLPdq8pAykNDBrnkVVGz8JD07c5xCIeSYXn5+zmezTQx4OmP9ySyvtKxdtewBRlaItw3teN+XGXw4YNjv8rnhbsOslytEn3N6NKAeZ0dDR9IFG0KoEMdPyZW2cg4PI0ZMpmOpqSTeFBZemX0W0pQhomNTusZuaIVuy4BI/pETO3UVZuwS2/77fdpyjpQhZb8cFeVjAHQ1qGWzODU9YmWaVtJQUBKZo37/xiPbu54T7E3JMnLXMsBPsGghOGNeU+Nbg4DZi80S52nj9vO06vLYyzBoDP9ZC+FiPj7eFG3wxvQVEhvnQ6PYft3NMv59v1d8Bs4c99Z3j2ASrnYrhgf5naOwMaUPvoYO6XGDkzhs6k27f5GrIprO3gg4ENqauJZ4VJIEFE9ar4U++GlVjj9rlF/3oz4BGMICL5olKO/GVUW56yKmgX6E6/e6QVN0xvSUrlLFNmzs0/GNCcrfbMjO4cxd8nmIcH2lTnpkcwYVUCTVp1uMQD5+6evJEnrucWFFLHmhVo6XOdODA1WzOes4B70ornO9NdTapwNnLquiTq9cU62pyYUqKfN39HMo37dS+/HtmhBo3tWVumDZsAVAcwAwqS5fizmTTquxi7zSZAYKpuQMcPaigW8Q7Cw60MTb6/OStFzmTk8JDg4iQRi8Mfe0/TW4v38+sX7qhFg1uEk5mRQMLCcz1qsT4aWYKblcESzmWynAlZCmQrfhnVhqoElnXm9RJKSIuIIPrh0dbc7xBz7CI98O02Ss/Ov+nm4XhqNjvBDG9bXd5zE4JBZ+MsVoIfLztEU23wlkcvDqwAIa9BPwRkcR8PbszBrCQdHA8qEmieh6yxkr83uzkNm7aFxi3Yy7N+isvve07Ri/P2cIIJ6wCaq5HpFMxBWHkfrmYjkbT1SCo9P2dPqR3dNiZc4IGpqkRuQFNz2YQ6G6y9Mx5uScG+nhR3KoOe/XlXqS2+tyal8NwhrAuYQP6UxejBzEggYaFWqB/1a1SFX99IzgDJEzTO5zJzqXaoH/08qi1PVhX0Q5PwQPrxsTasSYU29b5vttDFrLxr/g2yThMtc0XgT+/jKdUIs4JqlDq48r0/DtKMYjiA7DiWSn0mrKdJqxOooPAq3dmgEi1/vhMNah4mm1An071uKL/397dWmmdhsXnHp+to5YFbN1/+te80bxaw57i3ZbjFCUaCCDOqFaY++PesmbeXlNyE4fDZTHr8hx28LsDdRyRyzgHJm6nDFeOVFQfO0buWXqeSgH0gGuRh5nBHvVB6s7+sC0ACiSI826MmW0DiZivaqAefZ7gzXbiUR/Uq+9NPo9pQiJ8MJtOrKwfctdQMBTKVFy7lWr8O+0+4aIT6e7HERTA3T3evSU93UzJOb/2+n2ZvPXbDf4eS+ZuL4mjQ14oBA6ygv7q/GX31QHOq6CcJB1eB6bLvDmjIz3xEsI9F4hBDz/y0i1KKPPdFQaDx9E9K5nJgs6o8cE6kaOalXXQFriiqJgzT1ifZ/DPgCPnIrO2UmVNALSPK0/hBjSQwdSJonv90iHINp288QpPXJNg8XwoGOw/PgCy6gFpUL8/9WDLzQ0ECiSJEhZSzlhrVcfWcuZ62hS5m51PjsACeE4HSuaBf6lTy540FgsGDaqUpI4clKV9aqhEoV6LpThBgxgAXEPDqr/v+MfRs/eHz1PPzdTRz01Eud6P6sOL5TnRnw8ry5mmoT+rPZzvxdUSyaNGeU3T7Z+to4e6T12SY1x46T0/8sJPyr1ylfo2r0EeDGksQIdBdTarSq5bJ16hOjvlxJ9uK/ttmFPcV1oYRM7ZRj0/X0onUy1Q92IemPNiCXcYE59K3URWrs9uHf8VTx/Gr6cvVCf9QJdzIXAc9k4O+2sSydvRcfMNukHINVW676qjJS0SUkZFBAQEBlJ6eTv7+/qQHjqVkUbdP1nI2CppYWIBm5hZwRDtjREvy9xYbUKOAxnkEiVgc0DiPwWRogoOd7+oXu+hmsdfLc6aX47wRWCbhSY6MJBQunw1pwi4d7yzZb51oijkG7w9sSJ1qhbj6cIVbTKEdOy+Wkwige52K7PBy5HwWjZi5nRvje9WvRBPva8oNm3pDL8+ZXo6zKJh4PWXd3xUJVLYRcA5oWpUahQVwlQEJqd92neTMN2ZMAawZuM8w9Vj6pFy7jn+z/ghfQ1WJAHv4gc3C6JH2ERRdUZkDhv7JxXtP8XXcfvSi9fuxN5j7RDte6/VChhOeMwkkbgAGjPy8/e+sY+saQezzjAmqgrFAtgEVCciZVCBluM+iq9YDevlA1stx/tuHEBolZ289zlnt8j6elJKVx5uEh9pGcLZL1gh9AI0zkgYTVx3m6gMaapE8upx/hXrUrchuL9BU6xG9PGd6Oc7r2ZucTgt2JXMzPuTOKpEhvtS6RjAtjTtDqZYsN+yeh7QIp4faRYjFq4ZAL+TiPafp2w1HaP/pDOvfd64VQmU93GjVwXOUZ6k2YX1vH1WBg8VeDSrpbo3PkEDCNSRfzKauH6/hD5gO0RVo2vAWVNZTH9lpwXYQRKAyccwyF2TV/3XRVSZSLx/IejnOfwOuLS8viOVeGnXz8OE9jdgVTNAfmFyM6gQm0wJUk6YNb66baqSenzO9HOfNgKxpw+ELPJBsWdwZrmSpIGP9cLsInksjw0y1nRyCI9f0DUdo+YGzLE1VqVPJj3uk+jeuqutBcxkSSLgOaGdR+oZFm2jhjA+G1aABC/7zzavra1Oolw9kvRznrUDmGtnsMrfdRiPaR8j6oHNwPeHohISCEdZ7vTxnejnO4oC5RH/tO0O7TqRx8hGOPu46SkYJiqz9F4sSBXK1upX1fU+qSCAhCIJhPpD1cpyCoGf08pzp5TgFQc9kOOE5k5BZEARBEARBEASbcWjXiGoIhYhIEATHoD5fDjRgswuyHgiC45H1QBAEZ64HDg0kUlJS+P/h4eGO/DWCIFieN5QwtYqsB4Lg3OdN1gNBEBy9Hjg0kAgKUppWjx8/rukFraRRHgKkEydOGErfadTzMvK5QftYrVo16/OmVWQ90B9GfWaMfG6yHrgWo95XRj43o56Xs9YDhwYSZcooLRgIIox2cVRwXkY8N6Oel5HPTX3etIqsB/rFqM+Mkc9N1gPXYtT7ysjnZtTzcvR6oO2dhyAIgiAIgiAImkQCCUEQBEEQBEEQtBVIeHl50RtvvMH/NxpGPTejnpeRz00v56WX4ywJRj03o56Xkc9NL+ell+O0FaOel5HPzajn5axzu+2q1j0jBUEQBEEQBEHQHCJtEgRBEARBEATBZiSQEARBEARBEATBZiSQEARBEARBEATB8XMkPvzwQwoMDOTXaWlpNHbs2FJ/T0l+pr0p6XmBxMRE/v+UKVOsX1uxYgX/+fbbb6fIyEhavnw5tWzZkgYNGuSwc7DXuRXn2PV4zQYPHkxDhw7lc1K/TwV/p5VrhnOZM2cOzZ07l4+hOLjqGZP14Nr3Ash6IOuBGdcDo64FRl4PjLo3MOr+IE2ra8FVGxg/fjz/p7J8+fKro0aNKtX3lORn2puSHMPYsWOv+TP+fY8ePax/njt37tXAwEA0sl+NjIy8OmXKlKuuoCTndqtj1+s1w7ngnK7/b9CgQZq5Zjt27ODfi3Nr1qxZsb7HVc+YrAd/I+uBrAdmXg+MuhYYeT0w6t7AqPuDHRpeC2wKJPAmXrx48dofcItY5FbfU5KfaW9sPQb8WywKRb8HFxnfk5iYaL3prv+ZrqAk7++tjl2P1wwUfWBUii4GWrlm6rEUd7Fw1TMm64GCrAeyHph9PTDqWmDk9cCoewOj7w/manAtKHaPRFJSEpc9ri/5AJR8SvI9JfmZ9qakxxATE8Pfq4JSF8DP0gqOeH/1fM2uL0Hi37Zo0YL0jKueMVkPrkXWA1kPzLoeGHUtMPL+QCv3gSOQ/YHzn7Fi90gUfSiKgoO42cNxq+8pyc+0NyU5Bnzt4sWLN3zj1QUDQMsWFBREqamprJMcP348OZPSvL83O3a9XrPrrw1+Bv7r0aPHNf/G1dfMVlz1jMl6cO17KeuBfe8vR9+LQNaD4r9XZtwbGHl/YNS9QWmOw2jrQZITnzGbm62vR31TS/I9N4qESvoz7Y2tx/D+++9zI456Ts2aNbvm5pw6dSo386BJxtXc6txKcux6u2ZYAIo2v2n9mtmKq54xWQ8UZD2Q9cDs64FR1wIjrwdG3RvYehxG3h8EOeAZK3UgUZIb5Fbfo4WbzpZjeOmll7jbf9SoUTeMbsGQIUNo9OjRNy0laenc/u3YS/oznUFxj2Hnzp03/HstXzO9PGOyHsh64Mj7yxH3oqwHjrleRl0LjLw/MOreAMh64LhnrNg9EtffQCq4gW72tVt9T0l+pr0p7THMmzePoqKi/mGZhb8viro43KycpKVz+7djN8I1Q6YB1+x6tHDNbMVVz5isBzdG1gP73F+OvheLIutB6a6XUdcCI+8PjLo3ALIeuOAZs6UzGx3equtAcTu8b/U9JfmZ9qakxwCrLHTQq6D7HT8H/y/q0KB+DX/n7K5/W8+tOMeu52sGbmTdpqVrVhJnBlc8Y7IeXIusB/a9vxx9L6rIemAf1yYj7g2MvB4YdW9g9PVgrgb3BjZNth43btw13dyITouW6xCVqkNYivs9t/q6MyjJeaEcjv+gm1Mbc6CZg74MUToyEEWjOnwNrkHOLlvaem7FOXa9XrOiX7s+4tbSNfu38qKWnjFZD/5G1gNZD8y8Hhh1LTDy/sCoewOj7w9SNbgW3GaJQIoNDlR9M7dv335N1zreWPxZneRYnO8pztedgS3nhdJPjRo1bqgLVN9OfA3fp5KSkuKyDn9br1lxjl1v16woKDWjQUptnlLRwjXDYoCH+ZdffuEPIixeRadnau0Zk/VA1gNH3l+OvheBrAf2uV5GXQuMvD8w6t7AiOtBkob3BjYHEoIgCIIgCIIgCDZJmwRBEARBEARBEIAEEoIgCIIgCIIg2IwEEoIgCIIgCIIg2IwEEoIgCIIgCIIg2IwEEoIgCIIgCIIg2IwEEoIgCIIgCIIg2IwEEoIgCIIgCIIgSCAhCIIgCIIgCILjkYqEIAiCIAiCIAg2I4GEIAiCIAiCIAg2I4GEIAiCIAiCIAg2I4GEIAiCIAiCIAhkK/8Pvr90x3cPmuMAAAAASUVORK5CYII=", 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", 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" ] @@ -233,13 +249,13 @@ "for j, k in enumerate(n):\n", " x, w, v = get_eigenpairs(k)\n", " for i in range(m):\n", - " _ = axes[i, j].plot(x, v[:, i])\n", - " _ = axes[i, j].set_xlim(0, 1)\n", - " _ = axes[i, j].get_yaxis().set_ticks([])\n", + " axes[i, j].plot(x, v[:, i])\n", + " axes[i, j].set_xlim(0, 1)\n", + " axes[i, j].get_yaxis().set_ticks([])\n", " if i < m - 1:\n", - " _ = axes[i, j].get_xaxis().set_ticks([])\n", + " axes[i, j].get_xaxis().set_ticks([])\n", " if i == 0:\n", - " _ = axes[i, j].set_title(r\"$n = \" + repr(k) + r\"$\")\n", + " axes[i, j].set_title(r\"$n = \" + repr(k) + r\"$\")\n", "plt.tight_layout()" ] }, @@ -252,7 +268,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -272,12 +288,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 34, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -295,7 +311,7 @@ "ax.set_xlim(0, 1)\n", "ax.set_xlabel(r\"$x$\")\n", "ax.set_ylabel(r\"$\\log(a(x, \\cdot))$\")\n", - "plt.show();" + "plt.show()" ] }, { @@ -311,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -337,14 +353,14 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "def pde_solve(a):\n", " n = len(a)\n", - " b = np.full(n-1, 1/n**2) # Changed from (n-1, 1) to (n-1,)\n", - " x = thomas(-a[1:n-1], a[:n-1]+a[1:], -a[1:n-1], b)\n", + " b = np.full((n-1, 1), 1/n**2)\n", + " x = thomas(-a[1:n-1], a[:n-1] + a[1:], -a[1:n-1], b)\n", " return np.insert(x, [0, n-1], [0, 0])" ] }, @@ -357,12 +373,22 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 37, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -383,7 +409,7 @@ "ax.set_xlim(0, 1)\n", "ax.set_xlabel(r\"$x$\")\n", "ax.set_ylabel(r\"$u(x, \\cdot)$\")\n", - "plt.show();" + "plt.show()" ] }, { @@ -395,12 +421,22 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 38, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "data": { - "image/png": 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", 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", 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" ] @@ -430,7 +466,7 @@ "ax.set_ylim(bottom=0)\n", "ax.set_xlabel(r\"$x$\")\n", "ax.set_ylabel(r\"$u(x, \\cdot)$\")\n", - "plt.show();" + "plt.show()" ] }, { @@ -463,7 +499,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -473,21 +509,19 @@ " self.parameters = [\"smoothness\", \"lengthscale\", \"n\"]\n", " self.smoothness = smoothness\n", " self.lengthscale = lengthscale\n", - " self.n = sampler.gen_samples(n=1).shape[-1] + 1\n", + " self.n = len(sampler.gen_samples(n=1)[0]) + 1\n", " self.compute_eigenpairs()\n", " self.sampler = sampler\n", " self.true_measure = qp.Gaussian(self.sampler)\n", - " super(EllipticPDE, self).__init__(dimension_indv=(),dimension_comb=(),parallel=False)\n", + " super(EllipticPDE, self).__init__(dimension_indv=1,dimension_comb=1,parallel=False)\n", " \n", " def compute_eigenpairs(self):\n", " _, w, v = get_eigenpairs(self.n)\n", " self.eigenpairs = w, v\n", " \n", " def g(self, x):\n", - " y = np.zeros(x.shape[:-1])\n", - " for i in np.ndindex(y.shape):\n", - " y[i] = self.__g(x[i])\n", - " return y \n", + " n, d = x.shape\n", + " return np.array([self.__g(x[j, :].T) for j in range(n)])\n", " \n", " def __g(self, x):\n", " w, v = self.eigenpairs\n", @@ -501,7 +535,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -519,7 +553,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -545,41 +579,51 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 42, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Data (Data)\n", - " solution 0.189\n", - " bound_low 0.184\n", - " bound_high 0.193\n", - " bound_diff 0.009\n", - " n_total 24229\n", - " time_integrate 0.845\n", - "CubMCCLT (AbstractStoppingCriterion)\n", + "MeanVarData (AccumulateData Object)\n", + " solution 0.188\n", + " error_bound 0.005\n", + " n_total 23733\n", + " n 22709\n", + " levels 1\n", + " time_integrate 3.236\n", + "CubMCCLT (StoppingCriterion Object)\n", " abs_tol 0.005\n", " rel_tol 0\n", " n_init 2^(10)\n", - " n_limit 2^(30)\n", + " n_max 10000000000\n", " inflate 1.200\n", " alpha 0.010\n", - "EllipticPDE (AbstractIntegrand)\n", + "EllipticPDE (Integrand Object)\n", " smoothness 1\n", " lengthscale 1\n", " n 33\n", - "Gaussian (AbstractTrueMeasure)\n", + "Gaussian (TrueMeasure Object)\n", " mean 0\n", " covariance 1\n", " decomp_type PCA\n", - "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", + "IIDStdUniform (DiscreteDistribution Object)\n", " d 2^(5)\n", - " replications 1\n", - " entropy 184928893512601564896274248913732012064\n", + " entropy 161738313312558613068340076719892730588\n", + " spawn_key ()\n", "\n", - "Computed solution 0.189 in 0.85 s\n" + "Computed solution 0.188 in 3.24 s\n" ] } ], @@ -610,54 +654,72 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 43, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Data (Data)\n", - " solution 0.190\n", - " comb_bound_low 0.187\n", - " comb_bound_high 0.193\n", - " comb_bound_diff 0.006\n", + "MeanVarDataRep (AccumulateData Object)\n", + " solution 0.189\n", + " comb_bound_low 0.186\n", + " comb_bound_high 0.191\n", " comb_flags 1\n", - " n_total 4096\n", - " n 4096\n", - " n_rep 2^(9)\n", - " time_integrate 0.150\n", - "CubQMCRepStudentT (AbstractStoppingCriterion)\n", - " inflate 1\n", + " n_total 2^(12)\n", + " n 2^(12)\n", + " n_rep 2^(8)\n", + " time_integrate 0.789\n", + "CubQMCCLT (StoppingCriterion Object)\n", + " inflate 1.200\n", " alpha 0.010\n", " abs_tol 0.005\n", " rel_tol 0\n", " n_init 2^(5)\n", - " n_limit 2^(30)\n", - "EllipticPDE (AbstractIntegrand)\n", + " n_max 2^(30)\n", + " replications 2^(4)\n", + "EllipticPDE (Integrand Object)\n", " smoothness 1\n", " lengthscale 1\n", " n 33\n", - "Gaussian (AbstractTrueMeasure)\n", + "Gaussian (TrueMeasure Object)\n", " mean 0\n", " covariance 1\n", " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", + "Lattice (DiscreteDistribution Object)\n", " d 2^(5)\n", - " replications 2^(3)\n", + " dvec [ 0 1 2 ... 29 30 31]\n", " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 70356012850530284793779238667699207410\n", + " order NATURAL\n", + " gen_vec [ 1 182667 213731 ... 285991 397887 507051]\n", + " entropy 22782585628489395557342984464304455354\n", + " spawn_key ()\n", "\n", - "Computed solution 0.190 in 0.15 s\n" + "Computed solution 0.189 in 0.79 s\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3215263233.py:7\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" ] } ], "source": [ "# QMC\n", - "test(EllipticPDE, qp.Lattice(32, replications=8), qp.CubQMCCLT, n_init=32)" + "test(EllipticPDE, qp.Lattice(32), qp.CubQMCCLT, n_init=32)" ] }, { @@ -694,7 +756,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -711,9 +773,10 @@ " self.compute_eigenpairs()\n", " self.sampler = sampler\n", " self.true_measure = qp.Gaussian(self.sampler)\n", - " self.cost = nf\n", - " d_out = () if _level is None else (2,)\n", - " super(MLEllipticPDE, self).__init__(dimension_indv=d_out,dimension_comb=d_out,parallel=False)\n", + " self.leveltype = \"adaptive-multi\"\n", + " self.sums = np.zeros(6)\n", + " self.cost = 0\n", + " super(MLEllipticPDE, self).__init__(dimension_indv=1,dimension_comb=1,parallel=False)\n", " \n", " def _spawn(self, level, sampler):\n", " return MLEllipticPDE(sampler, smoothness=self.smoothness, lengthscale=self.lengthscale, _level=level)\n", @@ -725,16 +788,17 @@ " self.eigenpairs[l] = w, v\n", " \n", " def g(self, x): # This function is called by keyword reference for the level parameter \"l\"!\n", - " Qf = np.zeros(x.shape[:-1])\n", - " for i in np.ndindex(Qf.shape): \n", - " Qf[i] = self.__g(x[i], self.l)\n", - " if self.l==0:\n", - " Qc = np.zeros_like(Qf) \n", - " else:\n", - " Qc = np.zeros(x.shape[:-1])\n", - " for i in np.ndindex(Qf.shape): \n", - " Qc[i] = self.__g(x[i], self.l-1)\n", - " return np.stack([Qc,Qf],axis=0)\n", + " n, d = x.shape\n", + " \n", + " Qf = np.array([self.__g(x[j, :].T, self.l) for j in range(n)])\n", + " dQ = Qf\n", + " if self.l > 0: # Compute multilevel difference\n", + " dQ -= np.array([self.__g(x[j, :].T, self.l - 1) for j in range(n)])\n", + " \n", + " self.update_sums(dQ, Qf)\n", + " self.cost = n*nf\n", + " \n", + " return dQ\n", " \n", " def __g(self, x, l):\n", " w, v = self.eigenpairs[l]\n", @@ -742,6 +806,14 @@ " a = np.exp(evaluate(w, v, y=x[:n-1]))\n", " u = pde_solve(a)\n", " return u[len(u)//2]\n", + " \n", + " def update_sums(self, dQ, Qf):\n", + " self.sums[0] = dQ.sum()\n", + " self.sums[1] = (dQ**2).sum()\n", + " self.sums[2] = (dQ**3).sum()\n", + " self.sums[3] = (dQ**4).sum()\n", + " self.sums[4] = Qf.sum()\n", + " self.sums[5] = (Qf**2).sum()\n", " \n", " def _dimension_at_level(self, l):\n", " return self.n[l]" @@ -756,51 +828,61 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 45, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Data (Data)\n", + "MLMCData (AccumulateData Object)\n", " solution 0.191\n", - " n_total 39412\n", + " n_total 49093\n", " levels 3\n", - " n_level [34966 2510 1389]\n", - " mean_level [1.906e-01 2.542e-04 4.468e-05]\n", - " var_level [5.354e-02 3.192e-04 3.990e-05]\n", + " n_level [35507. 3370. 2383.]\n", + " mean_level [1.914e-01 9.935e-05 4.875e-05]\n", + " var_level [5.825e-02 3.839e-04 4.799e-05]\n", " cost_per_sample [16. 16. 16.]\n", - " alpha 2.508\n", + " alpha 1.027\n", " beta 3.000\n", " gamma 2^(-1)\n", - " time_integrate 0.493\n", - "CubMLMC (AbstractStoppingCriterion)\n", + " time_integrate 0.709\n", + "CubMCML (StoppingCriterion Object)\n", " rmse_tol 0.002\n", " n_init 2^(8)\n", " levels_min 2^(1)\n", " levels_max 10\n", " theta 2^(-1)\n", - "MLEllipticPDE (AbstractIntegrand)\n", + "MLEllipticPDE (Integrand Object)\n", " smoothness 1\n", " lengthscale 1\n", " n [ 3 5 9 17 33]\n", " nb_of_levels 5\n", - "Gaussian (AbstractTrueMeasure)\n", + "Gaussian (TrueMeasure Object)\n", " mean 0\n", " covariance 1\n", " decomp_type PCA\n", - "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", + "IIDStdUniform (DiscreteDistribution Object)\n", " d 2^(5)\n", - " replications 1\n", - " entropy 262810463936254346141855410714432518731\n", + " entropy 279378153131453229217259768655850552746\n", + " spawn_key ()\n", "\n", - "Computed solution 0.191 in 0.49 s\n" + "Computed solution 0.191 in 0.71 s\n" ] } ], "source": [ - "test(MLEllipticPDE, qp.IIDStdUniform(32), qp.CubMLMC)" + "test(MLEllipticPDE, qp.IIDStdUniform(32), qp.CubMCML)" ] }, { @@ -812,57 +894,61 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 46, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Data (Data)\n", + "MLQMCData (AccumulateData Object)\n", " solution 0.190\n", - " n_total 17664\n", + " n_total 136192\n", + " n_level [4096. 128. 32.]\n", " levels 3\n", - " n_level [2048 128 32]\n", - " mean_level [ 1.900e-01 5.732e-05 -1.509e-04]\n", - " var_level [1.631e-06 8.257e-07 1.649e-07]\n", - " bias_estimate 9.59e-04\n", - " time_integrate 0.198\n", - "CubMLQMCCont (AbstractStoppingCriterion)\n", + " mean_level [1.897e-01 1.484e-04 5.086e-05]\n", + " var_level [3.856e-07 8.714e-07 9.832e-08]\n", + " bias_estimate 9.09e-06\n", + " time_integrate 1.889\n", + "CubQMCML (StoppingCriterion Object)\n", " rmse_tol 0.002\n", " n_init 2^(5)\n", - " n_limit 10000000000\n", - " replications 2^(3)\n", - " levels_min 2^(1)\n", - " levels_max 10\n", - " n_tols 10\n", - " inflate 1.668\n", - " theta_init 2^(-1)\n", - " theta 2^(-3)\n", - "MLEllipticPDE (AbstractIntegrand)\n", + " n_max 10000000000\n", + " replications 2^(5)\n", + "MLEllipticPDE (Integrand Object)\n", " smoothness 1\n", " lengthscale 1\n", " n [ 3 5 9 17 33]\n", " nb_of_levels 5\n", - "Gaussian (AbstractTrueMeasure)\n", + "Gaussian (TrueMeasure Object)\n", " mean 0\n", " covariance 1\n", " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", + "Lattice (DiscreteDistribution Object)\n", " d 2^(5)\n", - " replications 2^(3)\n", + " dvec [ 0 1 2 ... 29 30 31]\n", " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 211999726805994101373488928458251659661\n", + " order NATURAL\n", + " gen_vec [ 1 182667 213731 ... 285991 397887 507051]\n", + " entropy 36362117886368605725975185875157957678\n", + " spawn_key ()\n", "\n", - "Computed solution 0.190 in 0.20 s\n" + "Computed solution 0.190 in 1.89 s\n" ] } ], "source": [ - "test(MLEllipticPDE, qp.Lattice(32,replications=8), qp.CubMLQMCCont, n_init=32)" + "test(MLEllipticPDE, qp.Lattice(32), qp.CubQMCML, n_init=32)" ] }, { @@ -881,49 +967,59 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 47, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Data (Data)\n", - " solution 0.185\n", - " n_total 24656\n", + "MLMCData (AccumulateData Object)\n", + " solution 0.192\n", + " n_total 27206\n", " levels 3\n", - " n_level [14682 941 256 256]\n", - " mean_level [1.851e-01 3.890e-04 1.375e-04]\n", - " var_level [4.678e-02 3.348e-04 8.258e-06]\n", + " n_level [15080. 1177. 256. 256.]\n", + " mean_level [1.906e-01 1.163e-03 1.363e-04]\n", + " var_level [5.194e-02 2.766e-04 6.980e-06]\n", " cost_per_sample [16. 16. 16.]\n", - " alpha 1.500\n", - " beta 5.341\n", + " alpha 3.093\n", + " beta 5.308\n", " gamma 2^(-1)\n", - " time_integrate 0.192\n", - "CubMLMCCont (AbstractStoppingCriterion)\n", + " time_integrate 0.275\n", + "CubMCMLCont (StoppingCriterion Object)\n", " rmse_tol 0.002\n", " n_init 2^(8)\n", " levels_min 2^(1)\n", " levels_max 10\n", " n_tols 10\n", - " inflate 1.668\n", + " tol_mult 1.668\n", " theta_init 2^(-1)\n", - " theta 0.010\n", - "MLEllipticPDE (AbstractIntegrand)\n", + " theta 0.037\n", + "MLEllipticPDE (Integrand Object)\n", " smoothness 1\n", " lengthscale 1\n", " n [ 3 5 9 17 33]\n", " nb_of_levels 5\n", - "Gaussian (AbstractTrueMeasure)\n", + "Gaussian (TrueMeasure Object)\n", " mean 0\n", " covariance 1\n", " decomp_type PCA\n", - "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", + "IIDStdUniform (DiscreteDistribution Object)\n", " d 2^(5)\n", - " replications 1\n", - " entropy 150146899559360985341942719648395449911\n", + " entropy 156299553974051108287087192014480157133\n", + " spawn_key ()\n", "\n", - "Computed solution 0.185 in 0.19 s\n" + "Computed solution 0.192 in 0.28 s\n" ] } ], @@ -933,57 +1029,67 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 48, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Data (Data)\n", - " solution 0.189\n", - " n_total 9472\n", + "MLQMCData (AccumulateData Object)\n", + " solution 0.190\n", + " n_total 70656\n", + " n_level [2048. 128. 32.]\n", " levels 3\n", - " n_level [1024 128 32]\n", - " mean_level [ 1.893e-01 -3.314e-04 9.098e-05]\n", - " var_level [1.941e-06 1.623e-06 1.425e-07]\n", - " bias_estimate 9.45e-06\n", - " time_integrate 0.116\n", - "CubMLQMCCont (AbstractStoppingCriterion)\n", + " mean_level [ 1.898e-01 2.700e-04 -3.564e-05]\n", + " var_level [1.442e-06 8.683e-07 1.928e-07]\n", + " bias_estimate 7.15e-07\n", + " time_integrate 0.478\n", + "CubQMCMLCont (StoppingCriterion Object)\n", " rmse_tol 0.002\n", " n_init 2^(5)\n", - " n_limit 10000000000\n", - " replications 2^(3)\n", + " n_max 10000000000\n", + " replications 2^(5)\n", " levels_min 2^(1)\n", " levels_max 10\n", " n_tols 10\n", - " inflate 1.668\n", + " tol_mult 1.668\n", " theta_init 2^(-1)\n", " theta 0.010\n", - "MLEllipticPDE (AbstractIntegrand)\n", + "MLEllipticPDE (Integrand Object)\n", " smoothness 1\n", " lengthscale 1\n", " n [ 3 5 9 17 33]\n", " nb_of_levels 5\n", - "Gaussian (AbstractTrueMeasure)\n", + "Gaussian (TrueMeasure Object)\n", " mean 0\n", " covariance 1\n", " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", + "Lattice (DiscreteDistribution Object)\n", " d 2^(5)\n", - " replications 2^(3)\n", + " dvec [ 0 1 2 ... 29 30 31]\n", " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 200817672418615218644638207846262968478\n", + " order NATURAL\n", + " gen_vec [ 1 182667 213731 ... 285991 397887 507051]\n", + " entropy 3791992371723994188448152307132512\n", + " spawn_key ()\n", "\n", - "Computed solution 0.189 in 0.12 s\n" + "Computed solution 0.190 in 0.48 s\n" ] } ], "source": [ - "test(MLEllipticPDE, qp.Lattice(32,replications=8), qp.CubMLQMCCont, n_init=32)" + "test(MLEllipticPDE, qp.Lattice(32), qp.CubQMCMLCont, n_init=32)" ] }, { @@ -1002,7 +1108,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 49, "metadata": {}, "outputs": [], "source": [ @@ -1010,14 +1116,19 @@ "def test_convergence(problem, sampler, stopping_criterion, abs_tol=1e-3, verbose=True, smoothness=1, lengthscale=1, **kwargs):\n", " integrand = problem(sampler, smoothness=smoothness, lengthscale=lengthscale)\n", " stopping_crit = stopping_criterion(integrand, abs_tol=abs_tol, **kwargs)\n", - " stopping_crit.data = stopping_crit._construct_data()\n", + " \n", + " # get accumulate_data\n", + " try:\n", + " stopping_crit.data = MLQMCData(stopping_crit, stopping_crit.integrand, stopping_crit.true_measure, stopping_crit.discrete_distrib, stopping_crit.levels_min, stopping_crit.levels_max, stopping_crit.n_init, stopping_crit.replications)\n", + " except:\n", + " stopping_crit.data = MLMCData(stopping_crit, stopping_crit.integrand, stopping_crit.true_measure, stopping_crit.discrete_distrib, stopping_crit.levels_min, stopping_crit.n_init, -1., -1., -1.)\n", " \n", " # manually call \"integrate()\"\n", " tol = []\n", " n_samp = []\n", " for t in range(stopping_crit.n_tols):\n", - " stopping_crit.rmse_tol = stopping_crit.inflate**(stopping_crit.n_tols-t-1)*stopping_crit.target_tol # update tol\n", - " stopping_crit._integrate(stopping_crit.data) # call _integrate()\n", + " stopping_crit.rmse_tol = stopping_crit.tol_mult**(stopping_crit.n_tols-t-1)*stopping_crit.target_tol # update tol\n", + " stopping_crit._integrate() # call _integrate()\n", " tol.append(copy.copy(stopping_crit.rmse_tol))\n", " n_samp.append(copy.copy(stopping_crit.data.n_level))\n", "\n", @@ -1029,7 +1140,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 50, "metadata": {}, "outputs": [], "source": [ @@ -1037,10 +1148,10 @@ "def execute_convergence_test(smoothness=1, lengthscale=1):\n", " \n", " # Convergence test for MLMC\n", - " tol_mlmc, n_samp_mlmc = test_convergence(MLEllipticPDE, qp.IIDStdUniform(32), qp.CubMLMCCont, verbose=False)\n", + " tol_mlmc, n_samp_mlmc = test_convergence(MLEllipticPDE, qp.IIDStdUniform(32), qp.CubMCMLCont, verbose=False)\n", " \n", " # Convergence test for MLQMC\n", - " tol_mlqmc, n_samp_mlqmc = test_convergence(MLEllipticPDE, qp.Lattice(32,replications=8), qp.CubMLQMCCont, verbose=False, n_init=32)\n", + " tol_mlqmc, n_samp_mlqmc = test_convergence(MLEllipticPDE, qp.Lattice(32), qp.CubQMCMLCont, verbose=False, n_init=32)\n", " \n", " # Compute cost per level\n", " max_levels = max(max([len(n_samp) for n_samp in n_samp_mlmc]), max([len(n_samp) for n_samp in n_samp_mlqmc]))\n", @@ -1059,7 +1170,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 51, "metadata": {}, "outputs": [], "source": [ @@ -1075,7 +1186,7 @@ " ax.set_yscale(\"log\")\n", " ax.set_xlabel(r\"error tolerance $\\varepsilon$\")\n", " ax.set_ylabel(r\"equivalent \\# model evaluations at finest level\")\n", - " plt.show();" + " plt.show()" ] }, { @@ -1087,12 +1198,22 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 52, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "data": { - "image/png": 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", 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", 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" ] @@ -1114,7 +1235,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 53, "metadata": {}, "outputs": [], "source": [ @@ -1124,12 +1245,12 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 54, "metadata": {}, "outputs": [ { "data": { - "image/png": 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ZvGiv496M4tmp7HLv6oZBfSaL/rQZ6z+qQDAQREpuDMbO5apFW50NXjfvmBku5eQdqTWfSr9Z0UNL0abj8JyCc465iIL/GnLyxBNPsK9bb72VfSkY/eixtLOMESIH6WOODjnR6nSIS01j1zsPs2PHG/Dir1v+Kn9fYimBz+/FzqVfoKm0BN+98RKWv/QMAn4fG2golBO/zwu7he/KHFlGeDUBaHyApaG+f3JirWbKxI1f34hrv7yWtRuPNjTY+EKeGZ0p33bTpJvY5Sfln6DTdfgEUIGCkUZDKf98JmREYda5/Lir2dMxYG7JrpV18Lj8iE8z4/hLx+Dc26cgJtGIqHgDIyut1dwgezjKSV1PHSsVC9B1aiGm4X4XFl14SI97efHl7JKM6rRROBbwX0FO7rvvPtx7773s6z//+Q+77YwzzjjaL0vBEFWT5Nw86I2mo/Z+JWTwE2lnM9/1Hyo+r/icqRpUjjFoDLB77Sip2sk8JoR9q75B/b490OoNOPeuXzMyFgwE0FZdxVQSynhpUnegI87D7t9Uzt8Xgfy4fPnEv6d9D3t8MpxSGYkUm9GERltjH3JCxliqjVNL47G0c1Pwv1vSyR6XgKTMaCRlRSPgD8p+knB4nD7sXcXJ+AmXjcGMM3MRnWBkpZaMMTyzadV7pehudw75+XtPE94Wpp6sb1rPLulYSjCGSr9Dwfik8az7jzY34erMaMYxT066urqwbds2dilAysny5ctRWcnr+wpGNznJHDv+qL6OuLQMdmltaTosr8nr+15n12+cfCPGJXBlZH953+C0eZf9APFp6TBL/pJG6e+nTqU6Wz3a4nnbYnN55FyMFFMKyyygUCVhiqWFxhf0sRTIg4FGqF/35XUssXWk0WDni3W45EyLtTDlrW/kC6wCBaMNfm8A1bvaZXJCGCOVdsql/JJw7F3TyFSThHQz8iZHGvrnnFsAc5welkY7Fj++BY5uvvE4GARxiNXH9vGdiA6d4zOPP+S/jbJQsmO4v66quwrHAo55ckLYsmVLBBEpLCxkl+GERcHoQ2NpCbvMKD665CReIifCnHsooJMtGc2IPFw29jI5rbG2hv9tuVOmIyW/EFnjJ2H2+RdHdCY1SwoJmYEpG6RdUk72ffcNnrvtemz76lP55J4Xm8euL61eyi4vLb5Uln49/sEXvo1NG7GzbSde3v0y/AF/BLEKOIe+qztc5YQwLWUau9xv2R/xGhQoGC3Ys6qBeUii4vTInZQY4TupP9DVh2AI1WT6GblQqSONqYmZUbji/jmITTbC2eNF3X7LISknZ+Rx5V9E1FMpRhD7+ZnzD+vvEwoslYePBRzz5CQ+Ph6dnZ2YOXOmfBupJuEkpTfcbje6u7sjvhR8vyC/RUtl2eggJ+ncwNZ1GGWd1/dz1eSS4kvYbke09lka+Uk6vXAMfnD7r3DBOZcg0NbOCEF0YmKEckTkhEo2LYkuaHQ6+Lwe5knZ8fUXfRaWTnenHLREDnwq7whCcDAfSI+3J6Ljp+mhh1B6wolw7duHkSYn5JshAkeyMs39UKBgtIC8IW6nD1u+5Cft4y4ohFbP24HjUszM5Er3qdzeKv+O2+GFtY0T+6IZKf0+bnSCAVljuQIz1NKOUE7OKzyPtQGXdpay45cuKYKejvnpKdMP6+8siC2IMNaPdhzz5KQ//PnPf2beEyIuA/08Li5O/srJyfneX+P/Oshv4fd6YYyOkT0fR185aTqkdmJaMNY2rGUGNRpZThDkxNfB2wjjEpNRddnlqP3RjSg/9TQ0PfAbWTmh5yPo42PZSdtlCOCavzyFS+7/nTzvx+t2RZhiBSYlT5JLJ4J8DITwn29t2couyfPS8/VSBB0OtD/HfVrDAfFcvTsJNGqNrCrt7dg7bM+nQMGRgBSN53+5Ci/+chUzvVKJZvx8vlkREKWdql2h/KKORrtMQAzmUHx8b8Qmcy9dt0RkBgN5yWgDQZiQOAGz0max68trlsveMhryR/EChwNFORkF5tirrroKt9xyy4D3eeCBB2C1WuWvujolf+H7hjB9ZowZO6Re/ZFEXGo61U7gcTrg7Bm6ivbv7f9ml2fmn4mcGE5wi+KLWH3X3MP/pmh/AAG7HdDwnZj1009hNhgjHicYo+evwxCH1IxcFM6YA3NcPBuI2FFX24ecJJuSkWpOZeFsvQcGDkQY8lqCiHEEZYOdp7oagR6+EPYsW8a+HwwUfR0+Nbk/EMESA8Z6KyeEyUmT2SWZehUoGA2o2NYKn9TuS8vQCVcUQ62J3LNnjuGb3Pa60KwdSwNvNybD7GCIS+HkxDqAckIx9Lctuw2nLjoV39XxMMYoXRSi9dE4Pfd09v0XlV/grf1vsesLcxce9t/aO5JgtOO/SjlZvHgxioqKWNfOYDAYDIiNjY34UvD9orWam7LSCscc9bdeq9fL8flDLe3QCfabum+Y9HrHtDvk24mYjI8uRrRLy74323jkvHnOHBinTaWZ6tDURp7k3WaVPFFUICWPS7BttdURux7CpKRJ7FIY3A6mnERtLcVfXvbj558EmMGO1CHnrlB8PiNBL78y4O/TXJybvr4JF358IaqsVUPOOOmNycmcnOzrGL4ykgIFR4KOBq6AnHzNONz85ALkTeqbVM0IiArMc2K3ctN6u/R7ByMngyknRDrouFrbuJYlQP9r+78i1oGFEhEhnxaRftqMnF90/mH/rWINabI3sY3EaMd/DTkRPhOhmJAZVunWGb1oq6mKOAkfbVAXzaF07Dy9/Wl2eX7h+SiMj/Q2jYFU0jDpoG7iJlt9fh7iLuDZBMHtOyPubzPyDAVSQwSSc/lC0lbL3ydhiA0vHYnSCQ0GHAgBvx+nfcF9IIXNQZbeSkqLSyInpmncqGr9+GP4exnIifSQeZWmCtMCSSRlsBk5/WWchEOQKsqBOdamLNeX7EXNrh1H+2UoGEYQSbc0cgUkoygOehPfUPSGzqBBQpqZXW+vt/VSTqKGpJzYrR74PJFGcGF2pdk34cexICdpUWkR/pI7pt8RMYH4UEFRB2LTUNtdO+pndf1XkBNqJaYvMsUSIaGv559/HomS8VDB6EIg4EdHXc0oIydD79ihg5p2O4Tbpt7W5+fpbr4AeON08FRx5cNQUIDYc88BtFqoyysi7t+pd/RVTiRy0l5TLUu9grz0Vk6IbJCbv7KrkhEE6t5peexx1PzwetQ+9gjyWnjoUrQLMLuC2Nq6Fc5dPGE28YbrYSgeg6DHA9ta/jcRFpcuxtkfnI0ffvVDPLPjGfn2na2RxGooZlgBer20OFJoXWlXZLv0aIbP48EHj/4Wi//0IL5+7il4XYc3bVbB6AJ15lArsFqtYiFqgyE5O1ou7RCpEZ6TgyknhiitTHq62yM/N0QQCDdOupGpjQJESgSoZCwIzLkF5+JIQOVzoZ48ufVJzH9nPhYdWITRimOenJBCsnDhQuY1oZKO+KLvBzLEKji66GxqZB0pWoOBxcePKnLSfPAppGKwHznnc2K518RltzHSRYi1S4tRlBeeKq58VMS4oE1MRPSJJ8Lg5eFsBK1Oj7ZgZx/lRC7r1FTJJt375tyH6yZcx+Lgeysnb+x7Axd9chEjFL/8/XxYXn0Vjs2b4XwjFJnPHtcK7GrYCtcB7vkxTp2GqAUL2HX7qtXskp6PHk9E8ZPkbNRwn8yOth2HlHHSe3EUxGpv+7FjirW2tsDn5nL+npXL8PlTB8+WUTD60SGpH/HpZmi0g58Kk3NiZOWEkRqnb0ikhj7z1E7cn+9ETB0m5ZW67wTCNylXjbsKv5j5Czx16lPMVH6kEL4TUkBpQ0OG/tGK/5pWYlpQe38pGOUlnZx8qIfhgBsOxKcPXTnpcHFykmgMtQT/+8dXY/XbfHaMtouXLFr03XBLysdD9c+yMLTE638IXSAIdYCrGWaTGa3SoLxwcpKYlQOVWs1Ij5jcHLO1A4VfW+F3uSNIAD3u2/vf5o/nAq75kisxpunTEdRq0BoHtKVzeTm1KwgntQ57vdAkJkKXlYngPC4dW1d9C4/PjV3tu1i7LxESGsmuVWvxxxP+yPw1VK8eKGHyYMpJuO/kWOrYsbbyzwQzKVPXxvatzDyt4NgGBaSJTJKDITlHKCe2QyI14aWdcN8JS2qVMk3yYvLk4Z69lRO9Ro8fT/mxXPo5UvR+nNoert6MRhzz5ETB6MCmKgtqOvjBfjC0SybP0VLS6d1OPFTlJMnEzXPVu7YxUynF1BMpttfxk7Q92A24PfCpgcYYHzY1b0LU8cej4N13YFLxQ0/X0IiTXtiKn3/sR+HrqxCUIu9p5k9iZrbsO+lub8X6xe+gds8ulG7gux2zzhwiSD0NOGWPCk9+FINEG2BLi0Huq69g04u349c/1sCeze+XagXMpby2bZo6lV3e0vR3OKlhqNOKu549Dy/sekEOgnrxrBex/ur1OLvgbIxNGMtup0C3/iDCnUQXUX84FpUT8ZnIGj8RsSmpbORAU68UXwXHLjlJGgo5yebKSVerAy1V3UMq6fQ2xYYrJ6KkQ2XOeGM8U05oE9BbORluTEycKHcGEqgDb7TO2lHIiYIjxv6mblz1/Hrc+gbP0BiqcpKcF5ndcTQhyksOa9dBd8VCOUkyJsllKvG7FVs3oaupCQFVEDo/X4yaE4CgWiUnPJIJNX48XySMXh+m7bDihP1BmBYvQ7s0GyqcvLVUlrNANsomIdBzCAjfyYUbg7jjMy8Sqzvh0QDLri6G2mhEbbADToMKyEiVlZP0Gt4SaZw6heUqVDnrsDufdwyl72rCd/XfycFy7H5ao5zyunBHANY33uqjTJKPpMLKvTRjEzmJ6Q+Uz0KgMLiR6BigjoqulsH/f5SK66kf+pBHq6SmUct55lie1dJYuv8IX6mC7xvbltZg5ZslbPIwoUMywyZmHpxkmGP1LDkWQWD/uqYhmWEHU06EYiGM7jH6GFw/8XpG3memhgJFhxuULvv3U/6O989/n43AcPvdo3bWjkJOFBwxVpW2kXCA0pYeeP0HZ+Gto6xTh2CMima7YkL1Tp4FQifgkrXfYfGfHkLdPm4g7U856WwKtfKufvtVdulK1SPNyk/gjUn8xL+haYN8v+ikZHaZfMYZ+GK2Cl/N4vdp//czcGzlJC9zHD8RbvpkMXYtD00grtm9nZk0w1WKoib+XO7T5+Fnt2uwKd0eUWox5uSyy/QeDcY08vuapk5Ds52feEvG8tr5/FqD/LgiBEpgRuxE/GRJAJPf2gTbd5zACFCLMXXzROuikRk1cFmHdoVE6mhO0AFL5IDDIwX9vz75x3a8+8gm9Fj6N632rFyJirPORsXpZ8BVwkcMDFU5IXVNzIESoxcUHBsI+APY8HEl9q1pxHuPbmLThzubHIdEMoTvxN7lZnH1vefpDIRYQU7ClBPhN8mN5ccl4Zezfol3z3+XZZyMFMgDc3re6ciIzpA3NjU9/LUcMra+CuxejJGCQk4UHDHWV/KTdSAINHYNvht22npg6+DDtVJyRw85IYw7nhtD96/5lqknH//lj/jin39Bza7t+OKpJ+Cy2fooJ3RC7GwMkRNLA88w0RalIdPCSUBTYmhBEmRh6sKzkD1xMtIvOguvnaHBW2ebEHvhhSwHpeFXd8Pb0oKpC89G3tQZzIzpdtiZukN5LPR93d5dEb6TDO6pRdx556MzRsVMsiTXivbe2DyeJ1PYAqRLHcOmKZNlctIyNQtQq5Fb48Qv4y7Fn0/6M/OYhGMKsqCWBJOWxx9H0OuNSMslUOlnsFA9+tlI+U5IMSGpnga4NVda+/78o49Rf/sd8LXyGPKIrJeDGGIJ9P4L5aSptERWshSMflArL0XQE2wWNz5+cjv8vgC0OjVikw4+EZ1CCDPH8lIIxdlfdu8sudRzMMSJrJN2l/waRFmH/CZHC3mSaiNeCyXU/nXzX+W8lUHR3Qh89nPgo9uonW1EXp9CThQcEUgp2VwVGmpVa+krqW/94hN89fTfWBR7/X6eDhqXmgaDeXCn+/eNCSeewi6rtm/Bshf+jcqtm6DRapkR0t7Vie/efLmPcuLstjLi0BupkyYgU0q77kgxYmoK93eI0k7u5Gm46nePwR2vkc2w6b/9LfSFhfC1tKDullsBlwsX/PJ+JOfwRWTmORehcOYcdr1i22Z2WZxQzPwumV2cEKSOmwqNSsPk2lZHq0xOUgp5OSXOyj0trsxEaOLiZHJizspBzFm8bfGsdU5MT+07vyPJHlouvFXV6Hz3vT7khL2eg0CUdoY7KbZ2X+hzKPIowtGzhKtPKiMvU3nrBw+vIxABEWWd+NR0pvbpDEb2P++oH71mQgVcSRPZItRhQ6DSzIQTMuRBfUnZ0X2G9vXG7rbdOOHdE7A66RNc/du5uPz+2UjLH3pwJ0Xcq7UqRoaaKroGVE6+b+RKz02vhTYKl396OV7b9xqe3/X8wUs9rVJZM+AFeg7e4Xg4UMiJgiPCngYr7GHhQnWWvsrJuvffwr7VK7H184+x5dMP2W3Fc3k77GgCZYtQ+Jnf52PlHMIl9z+MC371ALu+Z+VSNBzYH6GcWKSSTkxyCkwxfMEyxcZhzNjpyOiUyieFY3BCJv971zdxciJABEI49DXRUch5/nlokpPhPnAA9T+9EzqVGlc9/Dgu+vVDmHHWeSiceRy7PxEnWnzPzDsTfxp/N3SeAIvIN+fkIz0qXS4jkReEjHZpY6ZEPm8+7zwR5IR+J+nmm9n17i++hKefE7e/g//dZPAldLz0kuw9KbVwcjIucdxB32fZFDsMyom7qgoNd98DT20t6sMmv1JXRZ/7SqnEUfPmsUtv/cHHVhAppbZ36pyi/7Fao0FG8diI0g55gtYueksutSkYHdj9bT3+c9d3qN3bAVunSy6xnPbDCbjm4bmYe2EBS4Y9GFY3rGYq5Mq6layzh1qIDwUUhz9+Hjfcr3q3jJWYhOek98ys7xN5kmpDcfa/WvmriDBH8oTR2nDdl9dhSVWopCyjLawkax26f+tQoJATBcNS0hlIOaHAKmEw3fDhu8xISJN3Z5138ah854V6QmBllSnTkT1+klzyIVUlXDkRfhPqrCE1hJA/bSbyjBlIlioL6RNmYnba7H67VMQORbQR67OzkPPcc1BHRcGxcSPqf/pT6LVajJk9l50gc6dMg1ZvQE9HG+t6ouyDhWp+stdlZUGl08lzfj4s40RwavJUGEzR0KaEpqdWZXHFRrQzEjkxTZqEqBNOAPx+WF7pG2fva+UtzzsLVAho1fA1N8NbW9unrDNUckLdPSSXHwksr7yK7i++QOvTz6C+NJRw214fmoNCoJA5oZREncQzJTx19UP2m8QmpzAVjSBKOzV7drLp2p8++Sg2fPAOdi3/CiMNMl1/8tc/oXrH0MznoxVtjjZ0e4Z3GjzziK1vklt9D2zgxLt6Twcr5RCiE7hqFp9qxuxzC5Ai+UgGQ0VXhXwSJ0XycDDv4kIWyEavbes3lSw7aLQoJ+sa16HR3shMuWITReTk04pPWWfe2yU8piACbWGeK4WcKBiN2FDJd6s5ibyuWteLnNi6QrtZUiQIk085HdEJozO9d8JJp0BnNDFz7ILrbpRvpzZSQltNZYRyIjp1EjKyMP/yqzFmznzMu/QqJHd4GfO3GYFxBbORFZMlk4Hw1j1BDsLbB02TJyHnheehMpthX7cebU/9U/6ZTm9A7uSpEV07nhouEetz+WIjjG7bW7ezy7kZc/nvZodafHemOCOUE/H8iTfyv7n7yy8R9EfGbfva+YLaGg805fFFnYLeaO4HxeLTdObi+IOXdYjUZURlIIggi8Vnj9PtYWPoCV63Hzu/qYPTdnAlwl1ezi4bttWyAW4Gs5bPQbF62GMKeGi4p98PtdkM80zeDeEdQsdOyG/Cd76EwllcvSrdsAYrX3sR3W1c/SrdOPKBVmWb1qF883ps/vwjHKsgj8P5H52PG766YVjzqBrLurDitf348rnd8Lh8aKvlBNXa6pCVEyqxHCoo84dAJm5KYT4cmKL1mH9xEbu+42v+uaMYACIEw4KeZsDjOCzPCRnZCWfnn41pqXyDVdZZJpddhSclAu1hrfTWkRmcqygnCg4bLq8fW6o5+bh8Jt+t13VGHiB2C/857fYJtPuffcFlo/Zdj0lMxo1/fxY/fOyfMJhDLv7UPD4/p6W6khnHChrNaNu0C52N9TI5ScrOxUX3/B9TUQI1/PaOFAOOy5jLlBE6eVOZRUzuDS/rhAewEegEmvn4Y+x61+LFCDhC72vRLE42KrdxcuIV5CSPLzZCORGgMetCWWH31wBbY9rZ3Jzwsg4hau5xUMfFwd/ZCefOyDwTXxtXTjqjVdiTHZDJiVBN6Hkpe2UoGJcwTt6VUmvn2w9vwEd/40MJt35VjTWLyrDps4GHDBLovu4Kvqtt0/G/LXdSkty62RHmOxFJvfr8fOhy+PtDf6NfMjkftFOHJldLyBgzDuNPOJl5fXYu/UK+nUp+IjBvpNAjmcntnaHP0LGG/+z6Dxw+B9udC1ViONBa3SO37FJXjuA9Xa1O2XMilJOhgo7X8Cm+4rN+OCiezTcAHlsAOr9B3kQcMdrLgX9MAT78ySH9Gh3zejWfiE64sOhCeXNB/xuh8tJmjNY8GfTGCs8JQVFOFIw2LNvXAofHj8w4I06fmCqXdbpdXryxoQZ2t09WTmj68Pm/uB8X3/uQPGRvNBMUY3RkO1+KlMlit3QgvkeHBTuSserF51G9k6sTiRmR7bMeyd8wdebZbHdEA7tSzLysIggBDb870HmgX3LCXsfChdDl5SLQ0wPrZ5/LtxfM5CUiCgJjuSw1tRHkJDwEzaAxyGZcXTY/gVenqeBU+5hqE17WIVBZKFqKs7d9802/yklXNLApgy9W9s2bUdJRMuSSTu+kStqVttX1wO3wsQmx5BWp3s1P8P113ES8nrY2BKz8PtZYvivNHp8gd1G01fcwY6zL7oWnmp9g9AUF0ERHQ5OQMCT1RM446fWZJVWNjLGEqPgEpBYUsUW7bHOkp2i4IciPrXNkSdBIgUp5n1eGPsu9PVhHAlHOIWz5MkQoejpccgDaoSondd11srJwpOSEZuwwZY9ehzt++MLWqlcBfg9Qvhw4hIGa1I0nNjKkolCOUVE8P46ozb/VyTdOIqxNhr0NcIUNCVXIiYLRgLbaanz7+ovwuJz4YBtf2C+dmY28JK4ydDm8+M2Hu/HQx3vwxJIS2Dt5j2tUQiLGzT8RhTN4t8loABlGf7TkR0MyZupNZjlFdkpFLFNBCD4P35ElZEbOkxED/+hkKCAIAEXAE57f/TxzylNaI8XE9wapTAlXX82ud74VCj7zfvk1kmLi2cmwcvuWUFknL7ePcjIjdQaLwCZEn3AC61TZOzNRnpsjaujhC2XMaTxKu2fFN/0qJ6rEBJRmqRDUaOBrbMLHq59nt/fX4TMUctLZHFKF9q1tlE8ylgZ7n0mu4fBIqgnBaeLELzEjSo4a37m8Du89sglfv7CHGWcJO0xtrJ1blLhYuWdIGSfpfQjsSdfcwK6f+IPrZa9SmZTeO1LokciJ225n3W9HEzQA81CVj+d2PcfKmmLHHp79c6QQoWoEIrsC1L4rpggfKjkhBSEcR0JOwp8/ypMgpzsfMVr28UufK9ILIsHvD2D/ukYsenQzVr0b+frFhuKiootYmz+tHfS/8QVD718fchJuhiUo5ETBaMDKV5/H1i8+xrrPP2fha4TLZmUj2qBFYhRfcD7fxRf0T3c2oluSoUejx+S1va9ha8tW3PPtPWyhpYVydT0fftcfUvL5CbWgiRMxlZQDQgZf6uTorzOEyggC5LMQysm+jn1yTPyDcx9kEdb9If6SSxihcJeWwrltG/xdXWh55BEklPHad8XWjaxTJUI5CZOLhd+EYJ4zB+O2bEbNWTxnZHPzZtk7IwgMIerEEwEdTVSugruyqo9yEpeVD7deBXsRP2Fnl1sxIXECfjD+BxgqaNiZCG8LT3TduzrUlhgIBNEethvuDbc03Vk3dQbcUhx3lNopT5AVnpOmcitcVZzAfebZwlomOxK0B20ndnRbWScOIbmfTJ4ZZ1+Au15fjMmnnoGxUvdZ/f69qNk98HDEI0V42YiIPxFWmr8UDuoaonyePd8ux0ji0Y2P4uJPLmbH0FBAx9jXVV+z67+Z+xv5M0gK4pGCTsCWpr4t/UKpECWeQy3riNTjMfFjhoecJPLnj3EnINnEgxiPGC1hm6tGruSG48tnduGb10uYB2f3d/VsaKHAL2b9gv0vfjTpR+x76uwTx2Y4InwnggAljQmRkxGYZad4ThQMGbRTazzAWfrOnXtZ6NqsvAQUJPOTdU5ipN+g0+FFVV2TLH2PJtDuTcyIoRa6Kz67Aj9Z+hPcseKOAZUU4TtRB7lqcsatd8IYE4uC6bMiBhjSCaM/5USQE1JO3tz3JjPY0fwamlszECiLJOb009l1Mse6SvnimNrNT+g1O7fD73KxNmLhKaEyUqqJl4nmZfC2WQGVVitnkSypXhKh6MjPGRODqDlc4Wr4+V1oeeIv8FutcitxWjZPSV2ZzGXfaQ1aPHnKk6yEdKjKCXlu2ptCXRsipEqgTYra7w/uCk4cygvTSGaCxueC+5slLCRL5MBRhgXlS3RJu2pK67W5e7DUw//33kGUk5I13yLg9yO9qBiJvZQxAVHaIQN10ex5bO7Oh3/+HfZ+twIjTU6otLPytefxzI+vQXNFmXx79a7trBX+29dekE3oIwHq8iBsad4ypPtva93GduQUHEijEUg5oBEGvWc1NdmasK2FpzQPFURwA74gdAYNUiWztilGx8p8AjSkj24j/4SHyiC9QB6s3hDKELXsUxmE/GKi0+ZwECORo+jhIifB4KDkhLw2tXst7HigshLF71MZVYCGdF49/mroNDr2fY+lHcWakPKaIimSpJy8vOdlnP7+6ahtlv43RafxS+q4Cy/zDBMUcqJgyGgo2Scvdq3VfOd+2czQLj03jJzEGPiOpaGxdVQqJ+S6p2m+YthW+HTON/a90e/vpOSHdhQBowaTTl6IW595FRfe/X8R9yOjZaC7m6QVudQSTgKEckK4eMzBW6pNU3lGCcWtu8v4SSjO6YbO52eEsSvKyPwk5BcR+MvJf2EpryKNNRznF57PLq1u7tfor/Yddwmfq+MuK4fl5ZfR8cILfCFUq5GXy1/P/gy+mM+zpR+yuY8GnonF2dLMiQOldQqIk0przcDtpk7pvfjGzdUPk6sdlpdehEnrw1m3TMZ5d0xFegHPnrEG+GVjInB+2RjonfnYm5kER93A0d17v+NlrYknLxzS33T+z+9lRlkiNMtfeoa1GQ8nqJQaPvfJ1mlB7e6djBCFqzXdbdxHREFxDSUjM2CRTtDUoRXezXIwbGriBu456XPYiV6oer19J7/69le4YckNWFEzdIJHJUARRV80kxPz7PGJiEsNrUlRCQamfJyx+Axc++W1zOwqNhOPb3oc89+ZzwLX+iMnFByYG5N7xOpJdCIn8NGeeHk21xGhuwGQjuP+yElLNf9ZYlZ02DHVP+EnYvLaPT9F8qIq6Lyc3Z+Vfxa7JFMwKc3kUVvaKYUnZkwHzMmhxNhhhkJOFAwZtCMTiPN0YW5uLC6ZEdpR5krtxIRHL5VOqN0hz8lowvY2/rfMSp2Fe2bfw7wZ9x93P7uNpOf+EhJTw8iJpjCFqSVavb5PXLvoDNFlZLDhe73JCZUyqrr5fagccjAYxnOlwr1/P9ylZbIfJbmHn6jao00wFHIjm8DMtJkyCekNCkqbnBQiLb2VE0LcBeejaNlSxF9xBfu+ewmX4zVJiZiSNo15bjoy+MKvq2vp03Y8VPVE69fDbeWdP+Pm8ddBO7wpJ2cPupCS8tV1gJ9IHBLJMavsTN2xvPU2imakIn9qslzisUVnoSMGSIvJRlKVj73+mpR4LOts6te7QeS7tbqCZZuMlzJuDgb6LJx7592sM41GDPRIZbDhQu9OIBoD0dXMTwrhabWCnBAqtmzESGB/R6hbgz7PQwFN5Q7vHpufMZ9drmvgCgzB5XNhn4UT98c3P85KQUOBKP/RSXja6Tk45dpxOOHyMSzPRMAYp8bPvvkZ25SUWErwSfknsg/mzf1vMhVHDL0kkBFWdOqQUVQojiJwcDCQMtPfGhI93MpJi0Q+TZJC1LwH8IWyWFoqObknki4UpbYBCP+3r77AvExBpxeZ7SZm4l+Yy4n5jtYdcpfhPomUImU8ECdtShRyouBogXYXG9aEFjoNAnjqrAyY9KFyxphUfiKYmRuP86dmoDg1GmaffVQqJ3SwEaiv/4ZJN+D1c17HtROuZRNBSXr+x7Z/4Jvab+SgKNopLu34Dj4D5/Ox4weeCyS3rYaVdMLLOmSyo5Mr7ZxEB89gMErkxNvYCMdWLqEn/uhHSHbwRagzOwOpv77nkP7+S8deOig5Ya8/JwdxF18U0dVCQW75cfns/Xr2hx9Cpdcj6Haz10aqTvsLLyA4xFJCYVwh4lz87zdG6zBtYQ7zCEw6MRNpkuLR2UTGz77EZ8mORTDZvCBaE9DyRT52QracXBuwSztpiZz0RGejMVGFac5cNgTKpfNB7/XBplFh/+pv+zw+JRqz1zjrODn5dygg0igGSHa18k6fkSIn1K0llMyOuhA5sUqzgwjlWzYOa5aIAJ3cBegEHp7d0x/oOBKZNoKcnJDFfTpURhXBhuTxEI9F5c8Xd784pNcjDK/JWdHQaNSYdFIWouIMiE8NbZhKPHvYYxo1nCA8u/NZ/HPbP/HMjmfk+4SrQFTKIIJi0prYsSvabIUPpT/satvF8lvmvT0Ppy8+HV9WfimrXF3NTbIhlsiJGBx6RGiRVIyihZygkBrUKhlkiatUSepoQRxSc2MHJPxVO7ZG5PRM6c7AVeOukrt3qAQtsE+rAmKzgIxpIXJiPfgoiEOFopwoGBI+Wl8KXRffpRlSeNtse23kjun8qZn47fkT8dQPZjA14bYTc2AM8NpuFw4+XOtokJPpKZEdJjS2nEDtjj9f+XNmliU8uOZBPLz+YWwc24aKTBsyZ/Cwov4gt62GmWH7IwHjkzjpOBg0sbGyn8QjmUDjLroIM//JF1WL34tgat9W5MFwTv45bNHt73WFwzhpEjPHCmiTk+XOnKy4HDYLSIShNf32d2j725Po/qqfuOsBlJMEJy8pJaSbkZAehZufXIDjLxuDqHgDm4NC59X2sBq5wNb1H/PnTY1FGrgRuGusDtrMDNZeLDJaxCRZGyMnQEYLN/7WZDpR0Mbr5Nu/+JidwMmLIE7kLZVlEZkyhwLR2SPakEeKnIg5VWLgZEDyTIhQOH69Be2DlK4OF4JoEEhxoFLlR2UfySfj3tjavJWRDoprp1ENon2elEMK41vTsCZClaAONsKre18dknoilJPeE4bDyzrVfu5Reu2c19hnnvxOL+zmpnRRYgrvPpKH88XmsTJUQXyow6w/vF/6PitHkbdGlIxe3/c6m8/0zkP34LVf3wmPhpOFaOrWMSQOX6dO+mQgc0ZEaYdMwsKzlV4YixRJObG2OVl7PUPZcuD1i7HmTU4CM4p5/lBuezTunf1rxGpjEKOLDIpr0GlhnX4NmXjClBOFnCg4Stixjkuvgfh0TJLMkm01keREp1HjphMLZGPswjx+8vOpNPjz8lDuwNEG7dKEx0QkIgqcknMKIyi0WNGCRPVwWjjXNvJdRVmODaundyA9LjLXJByiw6W3cpJgSIgwjQ6lpCNgmBBGZLRaGArykTxzJhKzcpjnoHZvpKnwYKCx7L+Y+QsWq39iFo9z7w9UljJNnBh66rAIfPa6xnDHvmv3Hjh38zKLu7JiyOQk3slJVXxa3/A2Mrb2N8SP5GVrKZezo4rHIdHDyUB58ABMU/n/07WfnzyTMulkFYRXH4OW+DhATNAuSoLd3AN1IID2xnq8+81/cOK7J+KPG/4YkQyb0Cu/ZiiIkwLbrMOsnIg2YuoOI1DGjQDN/+mWFBNR1hHZLBWbh69dt3dZR7TUr6hdgd+u+y3uW30fy8gYqKRDfpNwnJR9ErtcVb8qws9xQeEFzNRNJ/mDeTyoC0XE0ydmRuYTkQFWb+Tqrk3fyU60dNzdOf1Odlu0LhpPLHgCfzz+jzIhEcRCtM+K1nxS+ghVXVV91ChSf/6w/g9MaSGT+7vnvcv8bHT71n2rGWGk2AGLrRZBBKAJahFwqoevrJM6qQ85Ya343gBTI6m8ZYzSITaZq0ZtZXyj6f36H2j7bhNaJWP4Bb98AHqTiX22Vr34Nzx7/QWYt0cv/68TpfLtvrxZ/LnistGpVitlHQVHB9SuGr2V12dTJs5kk1kJrTWhHYTP65V3bgIi48ShicLyklaUtx7ZHJXhwo62HXJ7IBkzw0Gzan4959d48cwXsSCLew3uW3WfLEf//vjf45apt7DAooHg2sd3M4axkVHupCaJ0g5hfOLQlBOCcXyIyBAxoXIKIW8qV35qwvxAQ8U1E67BK2e/ctAIbdOMGWHKSW9ywmXfro8+AqQSg7d2aHHWtNjHS8pJbGrfFk+x6xUBWgJLq5cirYN/1uLGTILGxknwVtd6uQTm2sdPnlq9BlFeXit3GzPhsfZAazAgZ+IUbB4LZHTxz+Tqz99lJxYa8kZGVpHEKojGYZGTEVJORNdYb7TX1zITrGgtnnIqnzLdVHFk7a+9QZ4NMSRudvpsWeEQeHr70wMqlb3JyYLsBXLnD5GCsq4yOX9DKIvhKk1vULrwV89xUlw4I4WdgHsfc6K0ZzW1sTESdNtFYy7Cy2e9jE8u/gTnFJzDlBSz1sxKuhS8Fk5ORKihUFB6vD19OnaE2Zdm0/zt5L8xA+2pOTwvaMV6PuOK0NHVBIeOl4p7LEeYU+Nzh2Lk0yYB6VNDvpOwEMPU/Fg+edndg1Q1fy/blryF1r/+FRXPVmDvbr4mJWRmIyYpGXlT+fG+ZcV3cPs1yKyIQlKXHtNcLsx28te8z8HJTaspFqfnZOFe2/Abr5WyjoJBQcPlaNCYJuBDpTmPzY0RxlBSTmgHQfXU/9x+Az75yyMRv2uX0mGDZk4AKtr6kpNvD7Ti3KdW45Jn1uLX7+9kkfgjjW/ruMdgVprE/gfAFeMkM6jkO7ms+DJcWnwpfjbjZ4zE9AdvSysbiEddLTRIrzeEpH2oyokxTDkxSFNxw4fQtYd5DoYbppkzBlRO9EWcnPiaeMs4QeSuHAzUJZTk5gtjrToy7Iogdnk97ZGL+FdVXyFDSm/3ZxaC8qICCKDCV4Lftb/Gbnfs5wSRjLpRXVy1i/PxGj8Nc5yaPh2bxqmQ194tZ9dEOTWsPNHYWMk6k4jEmOP6z58ZDEKxGCnPSVpRJOmlScmEjroauaRDLe4stZY+v5IKNNx+EyLaoiwqxjAQvq3/NqI9mNYIYQAXYwsEyJhNiqLNa2MERpR1iJyI+/anxMjP9VYJO8nzacP9k/1TrxsP0xldaIgti0hPJqIkkpmJsAhlRHhKBAETnWikelIbdH+lHQo0FI8pDPK0XhAapPgFgqWzBT0GvmmzHSk5sVK+iB+gkRGxmUCaZHKnaPmAHy1V/LPN/FsuK/DiGUhxcoWqrkyPjhdfYr/eGcWPs+xi/rkKD8o0qL1MMZm3LxEX2z2Y6Od/m+g2fLe7BB61Clb/8AcCKuREwaAgoxTVTOuNmViWcQ6KMhNYKYEWRHJ297S3sY4AV083KrdtZiPmBWyScqKN5vXj6vbIkCRatB77qgT7mrqxvbYL72+tx8qS0CI3EqBE1OU1y+VBV4OBdkHCj0HqwsK8g7eUunbvkssdNFm4N4RyEqWLOqT2W6EI9FZkaFouwWYZ3s6QcJgjlJPkfss64RgqOaH8EeE5+aD97T6mytgkroh0d4SUEwr8opp+hoXL6u54aV6Q2YGA2o+dCXxB9lZXI+B0wtvUhBjJOxBl54+fP3Uma7HujFGhOcmNpB4Hy66ZV8P/NyWVfJcfl5LWpxNrKIhPTRsRUiAi6yl3JRw5k6bKHTtWiZzEpaQiTnodVKIaTlOsKOmQ8hce2EUnsZOzT2bXn9/FU4PDZ7OQ6tD7M08kX5QVyZ/R6e5k96PHnZA0oY9yQp8RIgaU8tvjtqFqF//cn3HTRBjMkaqJAHmZ2nLKAFVw0GNO/C3Cd9K7rBNR2unVoSTIiRgVITKG6HhP6AidZru72mET5KTTzRsNPq7Aq/ev7TNJ+6AQHTJkTqXPaWIBQD4ynxPBjko0lPLnSS+MA5Y+CLTtR2KUNO7By4/jxPE2WKL4cZZh4uWsMcfNR3J6KsbFtuH6caXQGY1I6TJg4nGvYuJlb8jkhLxGixp5aOXVpzyK4YZCThQMCpGQWWvKQX5KDPOVaHU6pEjSMrUXh5cUaveEdkx2aTEVAWzVHZHGtm21nShp7oFRp8b8Qr6rrexFYIYbVNumXRqRDmq3HQy0cF4z/hp5FzSUkDHnTk5OTNNCi1R/5IR2hbQIDxXazEyoY7kCZRgbUk5ikgQ56ehTVhsukFoijK/63Jw+HT3h+SoEMqRSku3B0HCgC/CrYddbscu9BStreYeMQEySpJx0uOQ00duX3w6NP4h0KycNTikrIiszhbWEz510FjqjAFUgCPeBA2jbvwNJln0IBv1Q2fmJLGfSFHaSoRCwDePUKG7hi3h2lYapJ7V1kikzLZ0NXWx84DcIuEPtmUMt61B5xXWQwYIEt8OBVW+9gqrtW4aknCRmZcvhb4Qxs3nQXkd9new3oY6h2ORUdtKiVmlnz8B5MYcKcSKemDSR+YZ0AS1MfgMzSd8+/XZ+n7C8EHEiJ9UhPIlYgALZwhVNyhMhs/b4BE7IyzvLWcmHVK2bl96Miz6+CGd9cBbOfO1cBPxB+FV+3LjlB3h2x7MRj0snfhGsJqsgYcpJbwjiQeSHSFBDT8OA5CRcOWlztLHXRsfzpKRJEevHz8beilhH6PiwWTth03fJpHvdB+XYuqQG9i43qnd1HCY5yeSXpOamckLXtmc/Iz9avRpZ6h3AttfZ7VFn380u3ZpYqLQaxE2ww2rm61pcKSflxqho3HB+Ns7PKkHs5FMx/czz2O11e3dhYvIk+f18csuTsHqs7P96Ug4npcMJhZwogNPWg10rljDfyEDkpNWQguK0kDeh+DieUUBJlOFmzJpdoTAooaIkpCT3q5y8tYHvaC+Ymol5Ejmp6RhZciK6CajOPBRyQG3Gb5zzBu6aedeQHl+YQo1TeM5Lb1D7ZLwhHucX9Z9BMhBoB59y552IXrgQUccfL99OxI9i9Cn4yzEEQnC4yH7qH8h68m8wTJjQJ3FWGH9pmJ4o+wxFPRG7XtMYH227WTfUIxsekfMhBDmhOSl3fPEz3PT1TWy3dqZ+OtSBIFQmE2xuvvCnpiew/xWRSBpsSHDu24/1Gxcjyt4ItYd23z7oTdFM+aMTB3kOrr7tn0h0cPVEFaS5SXFoa+KvPTY2Hs1/+COsH30E24qhB4LRTlOUg4Ziil356n+w+dMP8NHjfxgwWZaIpzieohOTEJ3IOz2o9JQ7ZbrcsSNmAcWmpLHcFdHCP1zmXDrhi/RWarvPj8nHo7V34dWKP+Ls5DNQEMs/C6SAiJA/mh8lPBv9gUoh1D3We94L+UNIYfQEPFhWvQyXfnopI6hkNKUMjlgXXzN6DB2od9TjmZ3PyM9JWHRgEWa8MQNrG9aivqdefsyBINpmKaCRylT0vFqVNqKbLXwmFIFIjCBrRFzEVG5LYz1WvPwsEksiyx2MnEjKya5v6rFjecif1dtbdVCIDhlSTgTIe0LH1m7+HLkTk6BdJsUMzL0N5vG8jZsM4ubCKLT6ohFUqWD0+BDcJpWfaGbXxip0eHOBCRfI4ZOWxgbWRSVKee8eeJddUgTDQGXuI4FCThRg2X/+hWXPP43Nny6OeDdo1ycWu1Z9CsamhsjJuPknyWyayjsCNbv42Pvw7oK0tNQ+xKPT7sHnu/ljXzsvD/nJ/KCubh9a6NLhgLwjoivgvAK+GzgYiMDQjpAWw4OB/A0uiZyYpvVvmCUj7aqrVuGKsdzPcihIvP6HyPn30xHBblRei5JOVMLEGfGahknONxQXI/bcc/stc4jSjnn2LHm+j+cgpliKqa/eycOcFp40l524utxdeO/AeywhlKA3aqGLkmrcNWWsbHBuwbm4P/16uVXb1skX/xhpZgmpYXXpfKGs37YKzfu3sX4Ss04ajmjOk/8GOhlNn7IQUfPnoaiVE7u8ZjMc7fxzq6upQ9DDW+Fta9celu/kYKSAzOaCkFDX1ZJn/o4NH77XRwVrr61h5VUiolFxCXKoYUJ6JuLT06HV6VnHTtW2LXJZh12K0s4wmXMbbA1sWi0RhCkpU6C3AJOdYxDrj8YC12x2chajE0QrriAn1EY8EO6Zcw8jIuHkhI494Tsh4kpGXPJpfXzRx9h63VY8Pu0f7GcTC8bIXhDhhSB8UPYBa1P+uPxj9roPppwUxRXJSo94zRnRGXKKdDg5odLPz1b8DBd8dAG+rPqyT0mH1tMdX3+BDR+8w773q/lx2G5pgsUcSlPVGjTIm8JJVneb8zCVk4zQbZLvpKqGr6cFE0yARVJ5Tv0NDNHSrCGVBoYUGxocvOSeYHfCUeuB/+0fo+NvF+Kr+huxxHofMOYMJGbw97azib+H/zztn7hkDFe7yC/k6ZyNfY2DTxA/HCjk5H8cZKArl1oNS3tNVG2p4qqJ0xgHt8aIsWmhNr349AykFYb8BoUz57AWRzLH0g6OINIrdakqaKJL0Gh1yYbXJXub4fEFMDEjFtOy45AvTTWuHkHlhAx3tBuiRVIsgMMJCl+j8C/a0Rsko2h/OBwfw2Aghz2hp0NKbpRAcv7rv74Ti37/wIgEcQnEnn8e1NHRLE1WJ8X1e2oHz9ag+R52q4fNQhk3ORsfXvghnj7tabZT3dW+i+1M6YTSrOY73pmmufjiki/w+ILHEazjnyt9fh6Twwki3MqoNUI1jn8u67atRmo77yDS6fnnyu1MZR0e4Yi79DIk2p3QBIIweTQwN0glnE18MKKYayTeQyrxUNhc4333o+7OO1nGS2/ES6WdrkFIAUXR00mMMPuCS9kgQcLa997Aew8/wAYPEkkhQ/ob93HlLjopiRPS+BA5oaRi8gnw5wspJ+xvky5Fa/SRYnvrdrmkQ6UX554QITZJYlluLP8MiHTVamv1oMoJgYypfzzhj0yNuaCIvw/hHW2kmFFZ9alTn2KPQ8eQ08L/j0mpMXI5RZATUlCEcZdSX+n3idzSLJmBQD+j56A1QkxLDi/phPtSqFuHjL8USfB1NU9PFqMiOhrqIjJoCLoCTtj0HhUaY8uRf7Ual9w9Ezf/7STMPoeTtu5DVk4a4Qmo4TGGmdTTJ6Pbl4IOexKzoWT4JLIWk0ERufBVVkDn4d4WVbIGDU5eKk6BhxgLHCs/Q0sr34h1+TLhCRrldnpqL6ZSZYIxAX844Q/4/JLP8Zvpz+OPn1XizrcPvVvwYFDIyf84diz7ku3YRGcOpRj2Luk0SQmcY9MjW06FeiLCqrLG8wWCPCh0YhSdA/+sexrmnFehNjSj1sKVEdFWfMIYOohUMjlp7XHD7h6ZYWVC2qUd83ATBIJzl6SaTJrEyh3fF4TvpLdyUrZxHQvgqtu3G85u68g9/2mnsWnH0QsWQJ/DT0zemsHLOlU7+WvNnZQIjU7NvAgn55yM47N4yerzis/xwOoH0KnnJ9WrMq5DTmwOO1lv2LQajfHRXDnp4soGhbYJZM/kn8vcZj8KmylVAuiwcuKm0mRhwycVCPhD5tuYM06HNiYWiTb+2dT5+GfD2G6BNj2dtW1TN5JI/rV++ikLm7N+8glsy1ew0s/hKCd7Vi5jpZr4tAyccOV1OPVHt+DsO37JciZowObqt1/FgXWrUb55PVNMsidMxuk/voP9blIWP2mKjpwF190InTEUdCiUk1jR1hwWaX8kEBOIiUQQHLtDnzlXeRdTxAQJEVlCgqRQsvBgoHwQCkgLJxDh7fZUtiMlQ4DCxETLOZGlcHJCuSqkmhCImIhOuf48LwJUmhCPQ4Fq/ZGT8JlQhPA2/KnJXDnZveJrOV2Y/p/TzzoPc87iM7SMbjUrYeZPTkFmcTwbRhiXwv9vti43fIfQrejrbMArFbPx5ltrUbWrhZOb1ImocvPSTWKgFY133g+nRQckcMWHlF29l5MTpyoejU7++jPH8dfuSjgDltwbQu9xqxN6k1kuDwr1hED/57pW/n5OyR56ivJQoZCT/2F4PW75QCITFKFsc2gIV0sVd6036VKg16iR12vq8Nh5ofAuytugFk1C7d5d6GyS0mSjo1Hj5dc15nLZd1IjmWPFsMA4sw4Jktte/Gy4IUxxQgIebrj27BnUbzJSCCknkeRk98ql8nVL2KIykhCDDg/mOandy0snNP8mHGIeEOVm0C7daeJGTncXP9FU79iGEksL9mYlsxKSUE7CycnMmedie6EK2gAQ5QZ6THr2WdcaTFBpkrF3dSM+fWoHdiyvZYMF1QYD4s4/H8k9kTtXs8eHxBtuYOUqgn0NVxYdG3mmRdTJC5gZ2LFpE2xr1qLh3ntRffU1rEsoFMTWPykgj9DWLz+VVRMxo4mGSV72mz+w2/d8uxyr3nyZXT/hqutw1cOPMYWS/c75l+DCe/4PM8+9kH0fk5iM4y+/Wn58EaEvp9UOk3JCnVLsPU6dCW+bA74WB9VfoDJoEHT64G2wyeSkxlrDsmPEpmCwss5AoJIqlXdIWfnx5B9H/EyQE2ojplwRgpgovrGp70yhwUo6AqLcKrwr/f2OIEwU7/7c6c9Br9az6b206fF5PNi7ig+MnHb6Oez/ufCm2zE2j68JBi8/5YYP/aPRDToKiguSejK0ltw175dh8b4LYfMZ0NnRhc/+8TGWv7oPMCeiBbykHF+zkflHnO16IJErPp76euilaIRmVxy8AS0MJiPSZnJTtcuRgHbymkjobObrdYIo7TRGriM763k5dFImLw8NJxRy8j+M8k3r4bL1sIVs/hXXyLcJiAjvNkMKClOioNVEflyonk07gzNvu4stxlnj+K6jubxUZtjm1NBBqDFXy8SjTlJQciXFhJA3wqUd4b4/1Am6Q4W7gpM5w7jhLxkNhth+yElncyPq94Wk5fAdD/1/Pv3bo+hujywDDQd0uQcnJ7Q7bK/jylnmmPg+Cb0UhiVSOmcUTY5oJ67dww3XXq0GrvgkeJxcZYsOIyc02NBy7w/hSuSEuyuZ7/pyJ03G2bdMZdOPG0q7sHZxOT54YisjOAnXXYc0VUjt0gcCyPy//0PiDdcj6gQ+A8a+di0r7Tg283JP0o03Iv6Ky9n1uttvR/enn8G5fTv7orKnkPj7A6kh1FlDeSQTT5ZGz4dl14wlVVLKEKL7zDj7/D6m2+I58yO6dmaccyE7Gc658DK2240s6xy554SSeUXnDQ3KFCUdw5h49kVwlXaGyElPDSvNUbAZzbMRmSKHAvJ40Bynt859SzabEuj/ICsnKSY5M4iej4iFICf0OgWGsimheAEiGgK9lRPCb477DR6e/zDum3Mf85l8esmneOe8d5g3pXzLBharEJ2UjPzpoW5Ak9RpZ/RwEhJOToiUCvVkKL4Tu9WNnd/UodUZIvZ+zx50NvE11a7mypPRwY9vd7eWtxnTcVNH5IQrJ81O/pxZY8fBNHGSHF7YIY0CIHQ288dMyMySTbH9kZOpWYeeB3QwKOTkfxiNpbwmW3zc8Siey+X0xrIStiCSGVaY6Fr1yThhTP8TNGkxFEmUqQWFTH4mqVq0FKsSoyLISWW7jS0sorwjlBNCQfLIkpORVk6E98BQ1Df74/sp64TIxt5vI7s+uiQli7Dho0Uo27QO277k82mGE3qJnNB0YL+N/x/JtOpxhUp1FEcfCATZjlF05AiQj+H0vNPlnfaZU06R/ja+o6zZGapttzl5SYd8KzTJOHyxv/OUBzD+mRdY+7UzX5RAxmDMrFRc8cAczDonj42vp1bUmj0dMBQWYMa330EVxUmOIysGidddywb5yeRk82Z4ysvha2lhIwTI9Jz0k5/wVuqwTjfXgVIWVEjHAk0ODs/+Edj6BU9cnn7mudDp+7aon3T1DVDT7BLqZrngUplsDAaaoEybhQXX3ijfFisZYimP6EhbzUWXDiUrxxvj4S7jJybTxCQYi3lcgKssjJx010T4TQ6ldb63ibz3/Cdnjxdel5+VSCisj7pIhMqxsm4lKyXR8/10+k/l3xnKpkSn0eEH438w6O9QefGysZex+4r1RIQriinQE088hXmBBEwxXFmgPJ3xUWPk3xWITTZFdOz4u7tR86Mb0fp3bvoNR+X2NkZwEAytkwFvNZw9nfB5/LD5OfExuPn/x2PVysqJt65OVk6kQwqZE6fJIY/2dmp/9/YhJ4mZ/H3obORrKPt9mxt1Fv56J2QqZR0FwwgxG4cWUpKFWf06GERDyV6013NDY482mplhL5lx8BM67eKSJM9B6Xo+yMsVFzpA1VobyiyVaLO54fT6SQ1GVnyoTp6XJDp2hp+cECEaimP/cOHr7GQnZAKd6I5mWYeMlru/4eW6TEnNEmU2eh+ay3niZsOBgWPBDxeamBhokvji6KmsQFeLA288uB7LXgrFW4thZKl5sf16f+6YfgfOKzwPfzn5L0hIiZZ3lB8/SUFVIUWmtbmlT0knHKbp0zF2zWo4Uvn7k5zDT5qJmVGYd1ERJp7Ad5hETghkNI0eyz+/DnPIk2IYNw66nBwEHQ40/e5h/tiTJ0NtMkGXkYGk22+DNi0NUSdxrwvlq+iNJpZHQmjuFR9PxL+xdL8s/fcHKsecddtdmHbGuZhxTsggeqiglmMiOVRGskmfz8PFkmo+0HF+Jjff+iQ1S5cRBeNYTk48tT3I0mUw8ykFr4ky0GBm2MOBMI+SYqbV8TVGlHbElOGJiRNZm7IYIjhUxZRKOzRzh/wkwtw7FBD5q97BPTmFM7nvQ4CyochLRHhidmSSNiEuOVI5sbz6GhwbNqDjxRfhs0hxyBIqtnEvX5aWzzvjCMLv2cd8K3aXIYKccOVEKus0NDByQutAt9SJlj1+Mh8ump0Ne1SkYbirxR6hnIQrsLsaeOmLVPU408G7GQ8VinLyPwr6cJIBliBm5aTkFsg9+uJD2KmNR3FqNCYNkRmL9Eox38MaxQ8AgRr7XrmkkxFngl6r7kc5GX7PCUm9tFgSBnPsHy5oR02g6cH9JcOOJGKklFiaZUQnIWpFJWc9lRZo1y3KPCLIS+zkW6sqmHF5uGGUBgWSQbilupurE3stsnrSWs13bqn5/c/0oZ3oYyc9xmr7rEVYRaWgAGr38IA7AQodG4ycMGi16JCi/ZNzI0+QeZM5iarbb2Enuy+f3YWUggVoSXChIj8krxOBSvzhdfxv2sZPtuY5fKYMIeWOO1D83bdI+MFV7HvXAU7+0ot4ea+5gpdHexvNyTRLmSUDYeKC03D6zXf0q6wMFbR7j5MmVh9JaYfaeEVIHvmCgt4A/N382NYmGaFNNLJLBIII1jjlY4xGDYwEOQkv6QgIM2uTnZv6rxp/FVNPfjLlJywm/8TMgQdchoO6Ud47/z28fe7b8uTuoaCp9ABb98i/J6b7hsMUw9dQvafvaZd8M+zvanfC39MDyxs8iRV+P3qW8URrgqPbg0ZJsYpV8zKyyNTxu3ejva4bfsnQrfdw8uB3a+DXJCLgcMDf3s7JSaAT/oAPVKkX4xCMEybAFpUVMXSzq8XJVE7Zc9LchB6nBy3dLuys469jevbwl3QICjk5TDi2t6L5b1tg39I8om2ahwsyAFJ+wrevv4gVLz8Hj4sfzNSN093eymReGhJGuyqxwxOXloZ62fjUpYvHxTP4sKyhIK0wMlq7Sc9PRIlSjbVHVYrd9dY+JZ0Iz8kIKCeipEP1ZGo3HSm/iV4ahPd9whwbx/6P1HVFnTmiZHDqDbfIShaVdSgng/wmAkRkwr8fLpimcue/c9dOeYdLXRxN5fz/3hKmnBwM1Mkj/CQBr5RVIlWIrC31ffwmvUFx7kTAqM2d2m7DkZITA1OsHl63H5/8YzvrIOrZl4Kv5regNKo14riOu/TSCNJpnh0iJ+EKiyCqQa9XJuq9yYlQUnofKyMF0Vbc0RCS5A8Vy2qWsRZbChojf4eP8mWCgEqvgVoatmcQpZ0w3wkRBWoPP7tg8FERhwprqyPipB7eQUT+FlLdLh5zsdzl887577BS1FBBisnBuosEtn31GXYs/RKV27kXKX/6LHneUThMsVzB6S+tN9xz0vnWWwj0hKLsu5dwgkeo3NFG4jZSkx3MbEyYdsY5UGvNCAas2L+Gx8nrvDZoAl5oDLyU525oh7eBr+lGrR8BH7+ekZHAVB12+8QJsEmkMn9KEjv2aMRET4eTeZdojaHJyjf8cylOeOwbLNrMNwdTs4ffDEtQyMlhwr65GT76IC0uQ8fr+xDwjPzAukPBxg8XsUCnrV98jB1ff47tX33GvCSv33cX3vrNr5i3hJCUlQ2NVhdRVyTlpKGGnwg6dfG4aPrQlYbwuR9Ur69W893aBVIXhsZUjfe21PdLTgrC2ok/3FYPX1i756j3m5SVDzhrZqRB77PYgS959h8I+H0omDGbdXbwRUXDArp6LO19JtQ2lIRCq4YLIrrftXOX7BVhz3WAqyeiAyA1b/BpyAJzLyrEuLnpUIEvqIkuTmrsnU2MQAymnAh1UMyDCgdNas2bxM2yokvC1uaFOqBh7afhaaOa6GhEX8ZPdkEVDUPsO/pARyMGoqIYMfFUV0eQk3CiI5ST3jNyRgrieVa//cph/78/q/iMXVIGCW1UREmH1BKxcRG+E3dZJ4ugF/jpjJ8Oa66Q3xtAszTULlw5oc4eykF5/4L3Dzo3a7hA6h0l/K546Rm21hLo2OsPQjnpr61feE6IzHe8yqPmU35+l9wd5pNKcuVbeUmnKK0eNh9v46VW9JR87hms3vE1+6xRSccQ54MxwStvnjx1fA2MSjIj6Of+tPQZ3NNFoPRnm1TWSc6JQbw0FZx8J3TshEzetfAFgiy3ijAtR1FORhW8EnOn7YNrvwVdn0YGMR1tNUWw+NR8vpOn9rY93yyF1+Vkkv+mjxZFlHQilJPGetRVcXKSnZ+L7ISDm/EEknPzZSMfdfPUS6O1zynktXW13oL9zVLGheQxEaB24vFSlsqvFu3Ej1/bMmzvo2hnHPFOne/ZDNvbd0IGTPL+nHrDT9j3tKiItlbynQilRERSh09MHS6IVmpPTQ2szaEdYMWHa1D5wmK246bQtKi4/kmFu6wMzY/8CW4pV2T8vAzMuygNPg+Vo1QwI4edEP0+2r3b5AC2wciJ8Jv0Rt7kSKM3y+kISKTCEVkGqT1nGqxmYMsYFdZ08fJOb5Io1BNXyQEk5xWwY4G6N8TMG/a4UhdceliI4Uhi7sVXsuGAHqcTHzz6236ThAcDzY3Z0rIlIlnZJ03UpXKOgKEojrUV+zpcmKGfInfL3DgpZNA9UnS1OvDOHzaibp8lNNQuDKflnjZkxWM411mCn0zRlNk0beaACieBwvV6IybRALWaPtNBOJxBNgYi6ZZbYJw8mcws6Fm2DM4eDxqlYX5jYnfBLpETc3wCcqdQx5cOHkczAp790Lu7YEr2QB/L1RVPRSW8ogyaFo+gn5dk4qVyDUE/dgIc0uyvhCQtEtJD5IQgSlXTrbuQIBnQzXoNJmQMvxmWoCgnh4GAw4uA5Gh27ZJGtG9phXOvZEis60Hjw+vRvXLwCO+RAn3426p5ZPH5v7yPzd8gl/WmTz+Q79PWy29CoJMY22W73dB0c2Z9+WmDD8frDT4UkD9mVGoKk4I1Kg2LoTao+e5Ape3uVzkhLL79eNx79jiWq/JdaRv2Ng7PwDJhhh3xTp2jUNYJJyeEM2/9mVwjJoiER0ruFe3hs869SO7YGu6BgdqEBDkptlsK2yP0RGejZkvdoCWd7i+/RNWVV6HzzTfR8cKL8u3NktqgUifCbcpEXCzfrQX87YMrJ3U1g5ITCoGjRThnQgIfLU+Excd3+U22UCAhocZkx213avCXy9T408Y/weHt640SbeTu0gMRx4Io7dDGgEqqdBKj7qH+cGBjM95+eENES+eRgNqOL7nvt0jKzmUlLpFe6ti6lRHBg0GkpVLImAhB80uKmEaaHE1QG7XQS16FE92zWOIv5YAM59yVbUtqmN/EHKvH6T+agCzJiHu0IIY1Zk/kLe+U9SRISG9QS/hAZR21Ro2YZGnQZXQOYs48EyqNBrFnn8Vus337nVzSIT9IrLdMJifR8QlISE+ExsAJodexBG1YjaqEOKhiuPrsrqxgGSfs/jkpzHNCMMeG2rs7XQYE1DpovTYYrA2Il8kJVzrnXfoDBFQa5Lrq8fNxfrxy4xy8ftNxMEqG5OGGQk4OA16pjq4yAt7KdfCU8c4Iy+IyBJw+9HxXh6DbD6c0O+T7hmjjJRWD6uxj5/JWSFJNiKiEg3Z34a2IcWmhBEa/WotTZh669CwYtiY1Vp7ESxkA6VK7nVonzTHppZwQmhxVOGGSHWdM4vddvLX+kBUSmpZJg7t63z5Sygnr1GnnxFRfeHTIiXjPKQJ9/AmRE0IFOanYuontnklZGX/CAtY9QJ09NLdluGGaOg0BaqXt8cBj+wJBx1Y2z6PcyHMn0mmX3QvOPXvR8Ku7EXTy48tdGipBtUjlKLU2HU5TCpIk/0jQ3zE0ctLLDCtA83uueXgeLrhrOpKzeWdQqis3wlgpQK2xfo2KEQv62Yu7Q+RJwCiUE2GKHcPJypp3XsfKV59n/wMCzSsxmPtXJPevbWS71Z0rDr65sX72GWquv6FPR0dv0P9clHcouZlULfq9ultvO+hz0LA9AnW+CMjKSa9WcFHa8RzoYom/4dkkw4HmSq46nHLdeIybFzZT5iiApklTZyPhzFvvws3/ehEX3v2bAe8vSMtAac25Ezjhbk2ZKZMS4xReInVXVspdOkUzkuHvqILLr5OVEzoGtKYToDFQAJsOXrUT6715WOyfDIdeC09lFcs4IWizMhAMcIKkN4cM2Y2SJyzeWoHfPvUZPqnh5y8iRZQn5DLGY0csJ2Hu1YsRXboGhfqRm4WmkJN+QMO+7Bs3wfLaa+hewtvnwuFrlUx+bl4HdO/7GP7uRpaQaF1aDackOVKCYtA3fL6JoaJ2Nw+qypvCkwInncxzIwjTTj9blvQJqWHkJNx3QjAncyXlUDH/8qtx/JXXQjO3IIIQZETz8oJK178h1uP3sMmzN3x1A06awN+3T3c2shk8QwHtZH+85Da8svcVPLjqUXmc+c62najrqRsx5cRTyVUqbWYGNNHfb6eOAEVk/+jJZ1kEem8IFYXGChBoJhL5jAbqJhkuU6xbHw+/pwwB7wF4XKsRDLpJ+kBmrh6TF/T9Pzi38TZMMTyQSmVk4g1/jSpGTpKQJJUrSTkZyBBLU7ZF11lyzuBSP5WJkrI4OYm1pfRf1pHi2Oemz41orQ2HXNbZv58NgiyiRFeVis282fbVp1j6n3+yn4sOif5A7dfipECGxIEQ9PnQ8vgTLKG2Z+kyDLWri/Jw2CBDvx/exkY5j2YgbGne0pecCM9JWFmHYJzIT3auEgscu4Z3c+aye+USQ7qkch1N1OzezkzldHzRJpCUZ2ohHwimQZQTQraBv1/tKVOhk9K2aUQDwdFsQf0BrnYUJVXALhEcWp9N0TGstKlS6aAzL4Qh/hbk6gsQF2uGK6hDdXIcM8O6DnCfoSuG1C0ql+sQRGi9apK6gOK7yhHbXIt36toRnWyE2+7DrpV1WLa/BZvjZsGjM8PW3srSi9/57b3DrrwKKOSkH9T/8leoveEGtPz5MTT84pfyLkjA18YPEG8D381FzZ8Lz4Ev2HX7+ibWTsfgD8J7qJMmh1E5EaPUcyZOZpIuTS6devq5mHAiN0FFxSfIbWgCcWEdDZmSNH+ooB3C/MuuRlOgPYKcpJkl5UTbjRijtk9vPC2CNJnWH/SjyrMcKTEGWOwefHsgUgUZCI9ufBSNDr5T3tDyLUuzvPqLq3Hdl9eNaMaJY8tWeXLv0QK1jNK8lf66qsT8FXY/jRaTTz0j4va2Gmlq6RGCTqrbltagelc71OMmw2VMhN/HT+hBVQAB116kN2/ASYWNLDitNzzV/H8XvXAhm2dDCgotqiybRSInGlUSgmodTKm8JBLw1sIoTVrtDSpl0snDYI6KKHsNhKQsvlDrujhJabb1IifSlN1rJlzDOlCI8ApFLlw5IVOsv60dlldfZebImx77J2ZZHIhyhdrqBzLDdtttbCAiwe3wsTbngdCzYa2s2BHJOBhik1Nl5cSxIRTv7gubpyVAs2Xu/e5eHLAcQKO9kZVmRdoq+XJYtw5TTiJPxvqMKMScIgV2fVAmq8wHQ4/FxR53MIgWdDLBmmIGnpHzfZd0BjLADtitM4ByYti6FAaXBX6NEXUlnChoU1OgNpvRljQVNAItOSca8RUvRfhNWFBgGEFXqQyYMPsknHrbPez7xuR4BBCEr5H/n21SfINKEw9nN7cnULtwSDkpR253CzN+24v5sbBjeR1W7GyCR2NA3FX34ISrfsg64MhPNVwTr3tDISe9QIuh7Ztv5J0wwfpRZJKmIBz+tmqWQJn5t7/C37EH/p7mPu+stylUN3aVlMC2atUR/9M631uE8oWns8ejhbv1b0+i9W9/k6eg0hwNYtQ0KIxAH96rfv8421knZmaxkxMRlzkX8ujtcOiTQ1JpavaRncjlUopECESKolpnxeRc4MG1D2JtQ2gSMk0PFfis8lOcP43vwl5cXQXvQTp3vq37Fp9UfIJgUIWAJ5EiiXDT1z9GiyNkRKSBXYcToT0YWIz2Rx+x67Fn8qTc0YaMMeNw6QO/Z193vvwuS/UNV81aq7nx9EixZnEZ1n9YgS+e2YX337bCPnY+Iw8C5uBGTCh5A959oUC2cFCHiwix0xdydY88EW1bN7MxC0TAzNL5PYAcQGVghtim0v1s90bdaOGolyR3ImFDaYVPzOQLcbBHC53PEKGchM+IoTwNii0P92MI0Ikk7YH72fXWfzwFx/btcL/+JtLqmjC/vAEpWgO0egMKpvN5PeFYUbMCF74WeUyK7gyCy90Mn48bjJuaPsBmz01wzggMmZwI5YTGFjg2hsiJtymSnASCAfxj6z/wVfVX+MXKX8gBZ6JEw/JNfEFmftX0Y2qOPSMf+vxYVtru/pr/TwfD5i+q8Ppv1rET4GAQHTpphUdfNSHUSAp1f//LwZQTR3f/yolj/TqktnF1s2wLX7foc6spKEJ1Li/zFE82AKVLIvwmBHOMHuqws3nyibPY66INqEcFdGRL67pKhR4vn0elUiewkDVSpCyNNla6oXml0bZ65Ennsi+6ulhoIRFl5wFOXs6aNxHzLr0KSVm5EXlDww2FnPRC18cfs5RU87x5SH/wIXab9fPPmYQq4JM6dQK2ZsSceiozAJpnzZTVExqCZZ7BT8ReyUxEv197809YjddTd/j/TArSaXvySUaiLK+8Ateeveh44QVmHvS1tck10PQx4yIkRpL+qHtGXL/iwUcw6zxuigyHKj613xLP4UBEV4v5FKScaH1B/GZ/Fc73L8enFZ/ijhV3sF0aneQFOaFdKYU+pWbshcnoxKbqDvz2kz2Ddu6I+r/XchLcrfxAbndymfTfC/+NV856Ba+f/fqwmvMINEeFTqoqkwkxZ30/7YuHA1qo6IvMkQIh5aRKLp8cCWiCKYEmrXpcflQnTWAR2yqooVGrYXU70WU2yAMSe4N8EELKFioU+U72/5Yfh/EGI6JcnIA0ldug0XH1pGTdKjYr6D+3XS+PZCDU7BLlTa4gHgzGKB2i4viin+jMiPCckDmWZsQYNAZGcOdl8kFp6xtDs6gE4i67DNGnncYi7Wuuvgadb7/N/y5/APNbunHHS29HGJYF3i97H3EuTiDYIDjane9oY7OI7PZKrF9/GrZuuQYtf/87Kvc+yX7umi6REynDYjBoynhHWXdLM3xW64DkhLw13VLEuWjBn53G1QGKTBAlHQ2VEsiD0wt0W/z5hXJ5Z7CYBVKGNn3OyXHtvsETbFskv0l6wcjkahwK/D6v3PVECdtDAREFgr3LwhS9iMez2ZiykdbKVdjyLa147YG1jPBXZy6Ey5QMk86HKcbPSbqCPZ6n4UZJ04KpLd6oDx3DceN46/xEaSPSdvwclgAbc/pCeUI1KSfbvq7Fy/esxso3eXUgKTcK6mAA6Y5ORAc82NvUg1Rpk5jhUaMoJQpFUmpzUjZf1zvCUptHFTmprq7GN998gxdffJF90fUdO3agewB2OBLo6urC888/jzPO4HL14YIWaOuHfBccf9mliD7pRGgSE5l0SkO/2H18AfikeQKBnia+CLHSzjz46jch6NyOpGsnQC9lOHibODlx7tzJJdhgEJ6DjJMf9G/9+GP4pYWle+kyFtgj4G1plWPKUwYwAB4MvuiQ/C0iiw/rcQI+lHWVyYPYCDQf4/j9Qcz5rgFjXuOzXyZV+mC49bf4x/u/ZKUXmvD54yl8+ugzex6HtuD3MKZ/gnc21eE9KfSnN2h6LflKENTA03ESElUzEfDy9//MvDOxIHsBZqfPZjMxhhtdH37ILmPPPvuo+U0OF3SCpFIfGaXJE3EkIOJI0dmESSfx0qCji5eL4jKKMf4kfpyUZCTBXlaKgJvfVyDg8ci7f/KciLwY68efoMPJj6GYplaYJMJZX9IJtZ57ZnatWCLPNKneyVt8afGv28sTZfOmhoa/HQyJku/k+OpLMG/jVVj26l7sXd2Aqq4Q0abU0fkZPMJ9Y/NG+HvV3Gm3m/HHPyDq+ONZQq0oVRF89fXQeEMbHYHOnVuxt2oT4p2cnOROSUBMigfQ17K/tbHxXQQCbtgc+1Bb/ixcUn6QNzs4ZOXE9eqr/L5eD3xhQzx7k5NdbZFJvMJvwrsQ17Fcp/78JuHQZUUz8kJJsm6p/TUctk4+vG7Zy3u5/UGauRS+AaGBjDSXiUAlH0ob7q99uD/UdzrgP0iZ6EjQI63lpIKJcs3BEJeSykzo1HLc+4QuEqYTjA4UzkhhqcjsPVpehwNeTtQn6g9At5cTXXsi/0xHxYW6lQwOaQyDKsCINmHyKdxvWFO6HxmLFyH7X/+SzxHUqUPlVXrLRcnMlWyCxcDXzgvi+Hu/084342l+Fc6YGJpxRFaBwYZbHhVyQgTkyiuvRGJiIiMEjz32GJYuXcq+6PrNN9+M/Px8zJkzhxGWkSQq27Ztw6JFixhBsRzEsX4wUGsd7UDUMTGIOeMMNtAr9vzzQoqKcKkHgKDXhaDbiqi5fIaCeR4tVkE41rwOQ2EMdOlREeSEWsEESOE4XPJEJl0GlYrV5K3S62KP29oqR1SLbItDRU9Qj3pjJnNmU7fPkagmbr+bTZgNV07mlPEFI7bdCYMniGv3xKO4CdB9sJTdPidjDq6dcC1yAvHs54ToJNppB/DOljLsaN3RR0F5dQ9fdD3WGYg3JOL+syfD1XwJDO6ZeGDuAxgpkIrV8yVPb4y/9BIca6CdVXIe/x+3Sq3nhwuShH1ufpKetpC8L0BA8pukj5mEORfxSbmd0SbsyEqCc39kvoqXphgHg6wsoklOlpUTUqWsZl46iO22w+wMlTlMcYUwREVHqD7CP9NUXso6kYzRMWwg5VAhTLFptnyk9xSidEMLvn3rAPY+50B6d4GcfDo5eTKbv0JBbSWWkFojoE1KQu7LL2Hcls0o/OxTZD/1D/Z3ic6LcLStXYTtdVfi7k6brJzYo1qRddJjKDjr96gq/RxNzXzTROi+OESGfOlAUBtkxz4Z+QcCmXP91bXQe/nvOnVaaFL46/E1RXoGdrfvZpcUZEZ/Y6w+lk8hJmWD1j7p/9zbb9KboJkm8ccX04sFnDYPa5Ves6iMDfCjsgHt/GngnEPy29AAu0WPbsZ7f9rMPluUb0KlBZoonSh5gwbCU8vLcOLjK/H3ZcOffixAKduiVDbU9Gwqr6dJ7eMi66Z3TpKxeAzOuXUKfvL3BTjntilyyFxMdzXSqpcC3fWAIQ52LX9voxIS5I2prkPKMYnTy6+J1O+U3Hx2jIgWckFOzrvzZNzy1Mk45frx8EkM8eXyZtTGcIX9dLMdkzRNeG9POYIIIjaoxpmvPgFva2skOZHGQxxVclJVVYUzzzwT77//Pm699VZGBsrKyhgpIYJAX3R9y5Yt7GfLly9HQkICTjvtNDzwwMicJGbOnIlbbrkFhVKN+kggZhjEnnsu1JL8HX8xT4W0LV/B2vXCSzo0i0ATzw2lNNVRExeHgN0O5+7dnJzQAm3zwt/jge3bb4+YnBDB8dbUMp9L4k19g418rS2wVPEPOdb2lZuHgk6HBx+lX4jqU392RDM9SjpLZNVETCNN0yZgWmWIWGS3A0VtfGc5rSrITk4nZ5+MGEcQf3/Oi3e+KmazLdwBG9SGVhzwvoEffvVDvHfgvQi5naaQErwdC3DF7BwsnJAGOCahvfJK2B1Dn41xqHDt3csIijY9HaZ+4syPBaTmFQ4LORGqicGsZWmXGWPMCPh4SSB/ynRm1r341w+yBaclLhq7v/o84vetJfvhU6tYSYcWVsNYTk7o09Jt4qWWOKcbJmkMPOHUaydh3PwTIyYzi79DdCblTp4WMR32YJh6ajbGzk1DWf56rBjzBvTHdUMbBQQsOpxTcityjZzMUWu86F7p7TsJB60jRLRUWi0MxfzE5C6NPDFVVz+HoBmInehHvIOfdFxR7wDaOqhUQfjj/gyv1wKNVzoew/8cVRC+PD07drzNAxsTSR2h5FqTND3Zqdci7oIL5Z8JBJxOtO7gKtQZeWfggws/wKILFiFKFwWPlLtiKIyDLjMK5hmD+7dM0uwi535LRNdiY2kXGxlgitHhhMvH4NJ7ZsqBX211kqem3MrmyBBhqd1nQUMpN4im5MVAE6b69MZH2+vx9+WclGyv66vYDBfIVEyIlXw8Q4Xo0mqp4EoJjRChzZZImNZLiqHeqEXh9BRcdN8sGIu9mL7rGXglwzgmXgC7tOEXpSLKBzK4+N8bLc0oE6AAPgIpiTTWREwvFxEDrYlavBLjxvtRblQGvKiJlboq7c2Yo6vHZE0NLGq+bjvqrLCtWBFR1qH8pJHo2BkyOVmxYgWeeOIJRkyeffZZLJRkysEQFxeHyy67jJEVUlquuuqq77Xcc6gQ7NU8Z07EEDNKvKQDu+uDD+BtCZET8qUIUGCO8bjjUJEaj9IvPoWaZk7E8FWk84NlEWFHh01OVnH1Je6ii5Dwg9BYb0jtvkw5kQ6a4Mrv2NjtQ0WXw4MJlhpMaTiyibXk8idQ+Jr8MrfugzE0jRszGvUItvDXm9wNXKSbw6bR2levRsBqhW9fCeYZJ7CfZ2fWQxvDd3TP7XyOxYsTdrbvZKze78yGLpCOm08qYF1Ax+XzWuyXu0fGSU4QcdCGoqEZLkcjRFu5CO3rDT+1q1aWH9STQhI8gboG6L72dqqNU+twNHKnjpcXyQlZ+X3al2lY2jtvv4T1Y7Kgz8+To+DJx+PSaeDTaIjnI8rtYRkMWelBzD43H2NmpeLEq2/AaTfeiqsefkw+adDUX0FO8qYOzW8iQIMGz7hxErqml6EsZQv+qXkIz0+8H3ZDFwx+E9J7CvoMmiOPxlBgGCP5aMLWApejEd2p/PeJoOSafdCaO5Bs4sZ5v9cIlZqXgcwrAzDs5Z8zjSYasbFc2g9MjOlT2iFfSMAdKh95qnhZKkrPN12as85EzKmn9CEnDX96BLf/oxwXrwsw0y8N8KP2ezqBeiVyEndOAdLumgmDFKQ3kBdMnxsLdYyeKS3W3e1yRklThTTNdkYqpp+eC4NZJ2fMUGmHUBvWpVSzux3lkkE0f8rAXVe1HQ7ct3h36G/pdI64cnKo5ER0aVEY4v613+HpG69i40XkEMdeCdPLSlvx10YbdD47/HYv/ORunXIl2lu5GhUVz9c562efwuRsj4jCF8iZzCMlaHCmVerMog42YdD9aHsDujRB6LM5QayVyElDFyeEaVoHWtV+OSBOJDczdV5nALnK6t6UBhV+3+SEFBMqmxApIcJxOJgxYwbzhdDX0Ybb7WYkKfyL4JXe9N4j7+MuuxbQRaHr3ffgrpEmPXZWM59JOGrTEnAgIwlrdvPY9UAPN6lZP4jMIAgnJ7SjoDk9pK4cDK7dXJYj860+h6cIkooSdzE3ttobG+H28scx2ezMyDsU0KC9hz/di067B1arHY+sfwFnvPE4XGEhWEMBufyXVC2BxWXBfgsnNzRZVsC2kisc4jR38r7IE/qv/KcyCdm+LjQK/HgHZ/du8wqoNPxva3d14s39iyJIkN+ViauPy0VqDF98L57Bf2/x1roRGyXgkeRMXc7IROJ/HxBmvoGUky+f/hvefOAX+OqZv/cx8fVHTihzZP0H76ClksyoGiTkXIbouNBimTqWfx6sXaGTD+28fH4fekwGeNLTQlHwY8agx8jVgrjoWGioQSTow1mXpWHuhYWyuZuC58jsLQbc1e7diaZy/rnImzJ0v0k4hCpCn0eP1on6WH4smNpDoVVi8i612g4FsnIinYgI1dv/EaGERCVVIGXyx9CqAyh3qbFl+wWsA40+wqbVQErTDJZnkZ19HWJj+Y7YX6CLMMW6q61o/ttWWN450KcTKlo6IQXGFUMr7Zx9zc2MUFLpp2cpL69etTqA2AMh0kIdOgG7l50xdJLKQaBj66vnduPNh9az8ks4mElzHN/Zl35eiQ+e2MpMr4KcZIQF8SVnc4LVXsfJSXgLdeXOdjRIGRxjZg+s1nxX2gqPPyDnJ9HsF2qRHQlQx1N4e3Y43D4/Pthaj999sodFIYRDDHskE/qGxe+w63u+XR4iJ9JnJJxgOXVG2E38GGp25uKTD1ejs5Yfr41uLSsTuvftR3rHVsw9OxPHnR95/sqeMAkqlZpl/hAhIsRlZGKj1Y5OpwfL9nHi98Tl0/D0NTNw2eU8xLFFeu/0QS/GpfNdZU9MrvxZorJwT/5Y/PPHD+G6EfDzDYmcFBQUMAXkSEHE5p57eO/10cSf//xn9lrEV04Of2OF0VQE34ioeue+ZESdcj+8jc1wl3PTkb+rCuaw4V8UGb+9jNfR3QgyR7y/lS8OujySnlUwTprUh5xYv6xieQBdn0rlmAFAhkFBFoyTeUxx1t+fxNg1q+XXQS3E7PV7fdAGgrAuJqWnFc4dvGthIPzh8314dV013tpYA0PJHph9btmMeChYXrMcv171a9yx/A6ZNAhyQoufICcbx3NSktYgpQtKqoNtzRq22NnXhUpS4zv4yckhxS0HvfHoSbodv2stRrnNiuXlfIes8mTi1pNDpb1zp2TAqFOjos2O7dJo78NRkQYz1YnERSKKxyqoHk0Ll72rs08rLikmpev5lNP9q1fi7QfvZoMj33no19j0yeKI+5N5j2CO08kD0E678XZc+4dL2ElKIJVCyWhxD/hYSYz/buhxOo2h7JuY009Hj5mTzZSwXBCd1OI/ENFa885r7PNGqpDoUDtU3D7tdnxzxTdY/YPVuGb8NWiO4ScDb0Po9VHysZg9MxTIHUiSckIG12Yb7/DTlvL3KC5vA2JzeYrsZ1YjagJO1K++C51LrkDcpAUofvA1nLxgJ4oK70FMNFcVvWn8xOFt4CSph8ZmBIJw14SUU3FCiU2Rsk7a26BLS+XeNY8HfosFzp27oOrm5EATABrvuUf+H3klRUOXaoYqLK68Zk8Hm+ZMkfLNVX3zO7QJ/P/nlT4fu79tQHttT19ykiOUkx7YrW50iOczaDjpCfL7xw7ic9law9eIC6dlsiWFwhs7wsjBJzsa8NKa4Wmb7xHKifR+ClS127HgiZW4+/2deG19DZ5ZGTlzjT6PxqhopkjSDDNCa1UF7BLZ6T04tM3G3zdfND9Vr+kuQPnmDVAjiEZDOla26+Dcztf32KkTMfvi8X2UE3o+0Zm36eP32WXpqRfi4u3l+OX2Kji9fhQkR2FadhzOn5qJ0y49DVE3/xi22NBgzmmJ/LPUTeREUuEIAR3//xpGQDj+n2wlJv+L1WqVv+rCWnsp24RMeeED/oKeANRRadDlnwQENAh6nTAUJEWMUKcF0eMKyYj169fAufNzBD12qKPTEHPOjUi+/bYIcuJtscO2oVFuuQtKZrX+4KYgOK+XeVx0WZlyKYnCqrTSAtxt4cTJ7OE7GNe+fSg//XRU/+Bq2Fbzkwx7fn8Aj3y+jzFmu9uHNeVcDqyzOJFYGnLqk1QY3kItXnvX4sV9bicIY+Dejr0sTI2Cm8Yk8IPNtXcf+12PUYslsyI/dmQ+Jjg2bWavOZy8JdZ1s/q+gKPpUnjMsxBQm/HAhjWo7OYL/ZVT5yIjbIceY9Th3MkZcgQ+LcC0MwxHg8uDJ6qa0OPr+75vrbHguD+twEOf9N/2SvBKnxudVHs9FkGtxck53NjWWBpZylu3+G1ZiqbAJSIrVP6h+61++1UsfuTBPsqJRtvDIvKpi2HamWfAIA0IE0iRiLVHp4V1O++ssUmfW0K7O3QMJd96C9TSJODU8RORcvevkPLLXzKz6WDkRBj+ppx2+Lkz5JNKMaewy3vn3Iv5M7k0bql1yqmtqcY0pHcXoqmneUjqnDjx+FpaWMnVYtkAv84FtRXYVMrfJ0NcE1TqAEpdGvx49h9wUzAJ9ubJaO05E/tPvB0BrQEaDaWBqhAdLaXRxlhZaZOUE4oucElJopRYTZurcHISJ31We9pameGfBswRvE3NsH3HfXFbi1TwJEazMpFjM4+u9zRKZCErdMKiv3mz1AbM3/e+UeYaqTXbKJ28KKCP1AwybcaERd+Lsg6RHCI7BJohkzcl9L8unjM40dxay//uuYWJSJMU1IYu/nmyuX24e9FO/PHzfSgPm/d0uOhu6185eWVtFVq63TBJBO7b0jZ5PVlZ0sr+b/2lA7fHmKBNTYUmNjLDpa2HH1dq6W232vhatSTldHyQeQk+39sGpxQSapgQUql7I2cSP+6E12SNVLr5rps3bNDkeVGaJtXSfVFkzIStRfLIGBNhb+lim2WCVyodmo6m52Q0txIfKgwGA2JjYyO+5J/1cvazwCHxs8m8I8NvqUT8JaF/XvmWjdj9DZdD46W3tH7NagRtVnhree1YV3S6bHaik28gEEDX55VyjYNa7lySdClA+QCW9w6ge2UtM9mq9NEwzb0BfulEIKClHRAdMDb+nps93tBId8kAF94ttHpXDcz/egLv/+VlfLGrSY6Hb7Q6kVUZCsiilMvwEgstRvU/uwtNDz6Eznfe7fO+ioh4gYK4ApYLwZ5/NX8frFOLcbvvPkSd/ghMJ94DTWIR4i68gHUOBF0uND3EMy0EQfQeKMXkJB4mp4UZPoxFUMV3r5usLVDr+N9872mh0d8Cl8/i5ZYvt9ai5OxzUXXFFREnkf8rq8eT1S14qb6vB+ifK8qZRLxOIm79QQzS0o9gWcf/PUy3zhzHvRONYROKyRNSuXUTU1XOufMeXPvo31k0/sX3PoTTb76DSbrUDkmhf+HkxOdulhWZ/oyoNE/GqOK3t27hCkGPpPix28Km9xLapTZFGtyX/JOfMMIyEMLHMlCL9IQT+n4mDgeUjfOLhXew9ky/N4A2aeffstaLi/f+HJPrFrBS5kEfJyYG2gxOmClAsbWCK5P6vWqsm52HYE9oU3Tx7H/jotxzkfDlUuRXf8luK1/XiaUvhY7PqChqpVbDr3UiEMs9J9alkQqsmIEjyEmCNOunWzJFajP4Scrb1Iim5VzF2TLZgOiZPFjMXcnJh/Cb6DOjIlST1prQ1GmL1JkY8TdLIW2mMPWMkF4UH+HTosRXljETBLYukdq2JyTIHhNS34pmDlzSae12sc0VPeT0nHhkJfCNSqNETrZUW+CTVNA9Df0ntA4VpMoJU2m4ckJry7cH+O2PXDwZGrWKEaGddV249sWNuPHVzdjbaEUgKbReiDb3thhzv0ND2yRyoi/0MfOzU9pgteuT5Z+37eAbKOO4gckJGcPl5/zBjdjv4I/rNKihMWvwgzmRaeD10tom0FpXA7MUaNkdkwdvTQ0zYHukDBu9Z/hn7BzzrcTDDZFMKeCXWtsIKg3/wCdcfSbiL+dJjl3NTVjybx6INPOcC1GcyQ19tMtkv6Oug0qnZrJowMl/n1qA3eXtcBMZ0ahgHM9NTaxVLwzWLyrh2N6K7qU1cO4+AP3Yc6AyTYK1V+qiLpUfIHaJ6UT5AqzkQyO3k37yE3abYwuPWiZ4Xn8V59RsxE82L8KfP9rOnP4pjk5YWi3IbuWLke/4Bfw1hLUqU8eRKBGJ2nR/s0cSvLH4QfvZmGUKmRHtq7hyY5hwCord+VBHp0KbPBa6MWfAMH4CO/EQqHZKiL/ySv5aK6swV+rpLzDPQTA6tNvyR/FOKWpVjtbznVc45hUmYUxqNGI6W4DGBvbYa0vK0er2wubzY6WFL6y7bZHGuZLmbjYRWey8+ivttHZZ0SopXboRKut809GNMat2Y1HzkbXIHwxZ43h5oOFASDnZt5qnJI87/iSWKkxkgz7fRbPmYtoZ5yJz7ISIXBHRrePs4arFYO278dLIhLYSrrR1lYa8EW31NayjgEAeF/KjEIbS1h4ehjV23gkwRvf9TBwuWHbJmDi5k4RQu4fv1Me1zkOjbWi+E/MsftLv/vwLdHTwMme9RY1Lpl0LTzs/uah6kpGWvJDdx9/RgTTrCnxdzL16Nbs7WCgbQaMxwmwukPNO3LXtcO7hnxW1lHNB5IQyZYRZNmESJ/r2TgubPaSTfCe27dugr2hgK8jk865D7FhOWD2VFb2Uk1D55Zs3+P8vLtUkT6/1uHxY8vxu7FvDn48MsUI5Cc8nCS/pCKRIBlubhf//cycloWBaMnInJmLW2XlsEvFA2CapJuPSYphqmhkfSU42VIaOoSMlJ1QCpbIMEXcRgkaobLej1uJgE9XPnpyOWbncb/OL93bA5eVr85sbarGqm8sgbaY06MdOQUCjRXuMGbqifsiJjb8XqUlWxE2yM3M4oaizCVOy4tja7S8vjZjr1B9yJk5B5uRpmLDgNOxKj/SkTJ+RgfQ4Y7/kJEta+rqio5EgdWDWZ50Md3U1K7+7DJxQJ+oiR5EMB475VmKBI804EehthvV3R6oUBGNxSGpc9sLTrB0sY+x4LLjuRmRIo7O71CS0kpSbC9Mkfn9PvUsuBXmqpBpjXiyiT8gMlXYCQaaYkEnWvlGqZQdp59MNTQpfMNwVXYyl96xpQDsFIpmioTIY2PRJQkx0DHRpaUj91S+ReMP1/HdKS5mUTD3qmcs54YjRGvGIzYsHKjfg9aV/wm2fPgk1qSNRyTDeeDO7T/fXS1mphXYLbf/8V0QmDE3jFaDXU9fNTySPqO7BDW0X4rrNp7HF0d/VBecuXi6KTeALsMPFFy9NTDorUyVefz2S77hDfry4iy6EhuT7QADXGE7EL2f9EpcX3IFATOgg8OlzEYQ2oiMoHGq1Cm/8+DicLRn89+UX4fJmO6u1Lmm3wi2Rjn29yMkLq0JStdcfRHM3333KtwWCOGtnNW566AnY0zPYjngksKbTBmcggKXtR7aYDlU5odq3183/1oYSrqIUzeZD7nojf9rMCHIilBNbO1/UUqXBfP0hUSot0OwbglVqqxSEpEXq5KHyDAVW0URdCrA6GGh+TrR0spiykKcEDycyxnBS1VTRxU7CQjWIcyejqqxZPg4e2fAI/rmND/jrjfgrrmCXlvWfwGPsBvzAt3FGXFx8MTqqL4S9dRz0b5lRc+VVaP7979l92847DlVJe+E3eFhJpKMhpFCYTJJfLj4IXe4ZUKk18LXsQX0Uf2/p+JMzZGJiEJ2bx0puBFtHO3TpXDnpWMwN5jXZOlwz/3Z5ujYpJ2TWD5CCrCK/TzTrqPn4ye1wdnuYV+TUa/kxbWm0s8m5FdvasP4jGtoYhN3DT8p6tQonXxnyUwiiF455FxVi8slZmHFGLhb+aAIyi+NZSy1NjBYG6IP5TWblcUKQGc9PtvVSx87GqtDGb0+jdVjMsNGJSWySu4BQTY4rSESUQYtTxqfIPhSBD7fV4/OOWHyWdg4qMmdg29598CZnwqPV4Mvq/Vj0h9+wfB4BUkbUCCAVXTCO4RtljT+AP6x/GX/c8x5SnF0wOmwIqFR4R4pl6I2/fn0AV7y6BQ8efwV+O+1MvNvEz5Uqh9QF1is3hlT9BslcPWOcpLTFxSK7YSVUCMCSOBFNe5pgW7sOTiMnJ9NmDX+UwjHfSlxZWcle13/+8x8WyHbfffdh8eLFh/14+t5lHatEToQCqVFBLznLvS4X6vZJgUW3/4JNes2YdzxU1Han1cCl07K8Br20I6CERVHj9bXwA0QTb2C5ASqjhmWiNP91Cxp/t46ZZNnTGqUPnCYbmjie2Bro8TIlxrqkCq59HfCUd7F6pUPPT9xxUuYDQZuczKe8BoNwbNuG9n8/A63XA79KDV32XEwzp+JMaSDfmE6+oO1MKUbCjKmIOftsNrm08f8eRNvf/wH3/v3wm/RoTlQz0mD77jtWcupeXoNOVyd6vHyxLu7iC562B2j7zy50r1zH7k9O9LgevsDbjfy5VFGh15r8szuR/vDDSP31PTCMHw/jeGknWVaNmybfhElpmQhGhzF0lZYRlLGJ/ADqD+RDuWMi3+1tmsSVnEqnGw+WheK+q50efLK7kZ1YqGPp0538Z6JuTC2K4Whwe9AUCKI7OgZLF56DkUKn5Ouh19cb9Fpfrm/Dms6QrH64IGmaTupEDKicQ6Pg26R5O1njOXEZiJzQkEmP083CtOg1WRqrDxrpnTyBG8OtLgfsmzbBIS3G1HlDEBH07XU1ckmH6uBDUTcuuudBNrZezJUaTmRK5ISmw1Jqa/iguuad/G+o7q5mOTwv7H4Bdm/fMof5uDnQFxTAUcTvr65SwTZzErQuI7rbslD37d2IK+lmEf/kk6JYg7irrmTrT2c0J/SirMSe1ymtpynJ0GXNRjAYgHvvByhv4V4Rf4eL7XKF0V+tVofN2GmVzcXaHn4Sd517IpuhIzZpnooKthki6NLMLCJh+7IaFohGSsjFv5yBtIJYVk6h20o3cemfzWtpsqO+ogs+qTQZF6XDvIsLMfW0bKTkxPQbgHfy1eNw/GVjMH5exiG15/cmJ9lhyonD48Pu+hAh2dvQfURdPHIbsbSWC4gBpaeM47efOi5EqFNjDEzFdfsCiPPYcH7pVhT4JMIkqQ9d3V0si6RiG//fkR/Q4fEjCd3QqgLoCXDC5VPpEFSpYfhuOR5o52X3+ugUPL+er6nlDhceKqvHd5YeZup/emU5tvQ4YVcD9V4falweqhBBK83K2eZwIRBWPu7o6IDL5YJWq8WUs8+G1utFgPyNecnIS+Cft/Vlifi8+zTUZvF1IEHXPzH6n24lpvC1e++9F1u3bmWL4+OPP47LpZLL4UDfRznhJwbzNP6BY0RCp5ZT/khRoIVdzMqIGj8eMS7u86BkS5pSqpcOxAhyIjF6qsmqNGqYpFHjfqoRU8tktA5Rx6UjXtoxaLMimWnXF5V8+BaTXO1Qp6awYCVCQi+Dpmk2l5I733iTmVkJT02/HCozP5A1MRmojc+EV/IIbEsdi3iTDukP/h8LliNSQvN7CJ8vMGHNBP68tm+2oPvrGnQvr0VDLV8AM40Z8Lfx9ywYcDJy59jATzLmExYi0EHZF8C4K85iC6lKrWOkjNDm8aHtgougvv4GtjBRsB3BLcn/+UlRCErKiSbAf8enLxxQORGgejphV/GE0PsnmWC1Kh709bPP92BdRQd2N1iZWkLuddoBEeoskeSk2hlS096dPAevrhueDoDe6JRizun5ehsuV3fa8JuyBvx8/5GnM9J7HfKd7EdTGQ2UDLDOgpjE/nMliHxQbDdF31ft4ARdrXbAZetmRGKwMkyK5HuwG/Wou+VWRuIJxfNOYJcNkvelvY5/ppJyhj6KIX3MWBQfdzxGAql5MYhNNsLr8mPdB1ztCUZJE4RLDeyEV9oZar8Pn1hMyhLFtdPvxl91JdwTuaJQ26lGUdJYtEvhY/FpUSh67UUk/uhHyHvnbeS+/hrGZnO/QJ2xLIKcUOv+Tgu/zV8gmSzdlQh0N0BrbZXzToTfhG1SwrI5SAEQmzGvToWnz1fDfCkPZiMCxR63qwuOnVwVMo5L5L6zEsl4elEhyyjR6jWIkTpExM8IjWVdqN7dAWcgtJbOOjsfJ105NqKD63AQ9AdZ7gfB5fVjT0N3L+VEIidWJyMu5DfJiDOykkuP24e6TscwBLCFyAcRoI1S6egUiZSMT49BeiwnFDccn4/r5+ch2uPAo2ufx7nV6xGvkfxA5ijMn3U8iufyz229tOFtk/wm6Wr+uM1efu5tMKfhtVvvwWPX34a0cq5cVsVmMoXX4vDg1r3VeKG+HVftrMB528oQ1KpgTJOaBaR031SbH+o2F6hQ1uH1RajHBySDbW5uLgyJiUiQNkm2MWMwbaaZz/YJmOHXGNAtVQLipXPicOJ/spV4IKijo2Xy0JucRM3LQNx1xYi/LCRN0kJOoPq77HTW6ZBg4B8Eq8nA6oC6jCiKlGTueU2KdND3eCPc7HHnFiD+4iIk/WgSMn4zF5kPzkPcRYXYtImXYKi+yS71/JLKPAIUke9OTGRtgST5xUjTZgXMkuTG5gP5/ViZPQPL8o6DJi1fVi8+PusnuOekn+LZKRdhb8E0aDVqprqkPcg7MmjGkOr3d+OtGTZsLpZeQ3PI8Ggr48bR2RpaSNWsS8lTxmvqnga+mBqKedS/Li0K5lmToZUWEJKe/6+0HlPX7cWCTSWYv2E/urw+5kUhuEr4waLRqxE0S10NrfwxvUROpNk9A4Hq7R6tFnulBTxeSpjMMuhQpOZkJxCtY4vYgWb+uBMyYuS8BKojhyNcyWiNj8fD6yrl2vZwolPyFtj8AbT3msdCZSlCg9sL50EmNh+S76Rkrzw8MksiLP2BCIgYqLd9yScI+FqhN/BFlNJgtfqB/QEJ0kBJUvo8pOJJ/4/xks+pft8eVtMXQW2HOydquEEn1AnHZ8pdJYSouU64tHaonXp2MhYt9L0N4jR5l+Lal72yD9HnnwH3OE42l5u1KE4olsPHqExinjEDafffxy5pXaFp2immFLRF1cnkxO3wYukXm9Hl5OuISmrBjprF1Z0YKaTLa3HBXWWHecF90KZNiiQnba0wHzcXSXf9C+t/cCk0uXNRZOJrh9pkYkF4UKnhljw2xgmJ6Gx2sIh5jU6N9LDpwIm0xvUCTVSuK+mES1IpwpsLjhRdn1eg6U8b4SrvwraaTmZeT4kxyMesICeUEyJIw/yiJIzP4BvFvY3dR55xElZq3FHbxV5DVryJDccj0P/ujxdPxjVzcxk5uXhqOv669RUUdjfBnpwMj0FK/KXNwWVXYaI0f4o+/4TS7VsR7+3C5Gi+/rR4+fvt1Ebhg+kz8PX8k3HbfX9CSV4h2lL5hvSFymbstblgUqth1qhR4fXCnx0FnRSDrztgxSMxCfBvb2fqyfQofjtlngjs38/PaxMm8DUhTfIldRfkI3lKPorLFyOtZTNMjhY4pB7iBM1RUk7+V6CTorMFaJcgPCfdjg68+OitWP7Ws/LPG8v4jj5TWtgF0tK5ilKTEo+mpnqmjOglI5kmjruiA85ghJtdE61H9LxMmMYnQiMZv8o2rcO2lZ/B6gl1k0Sf0HcYn7fJhlqVT4741udGKifmOSHVJZiUjGemXsJkRl1qrkx8krOLUJqQi0+LTkJ8mOk07oLz2WyQoq+X4LvxfnYgVaUDlhg1tOmhgCt1LX+fJrs5AfB31SBg5Yup2pzOUnah4wezvoAfZFqplZDIyQpLd4SqQWZVfQEnTx6qmZNR1S55P1x+eBv5+2eKnsESLAcDTfs8kFsIj16P+B4rbmxtg06lwo8yk9BSz5+XFBly0u9v5t+PT49FTqKpX3JSIyknask578mNwktrjiz+vT9YwghJjdODj1s6cX9pPex+P5Z2WCPKTEeKrPH8xFW3dzcObFgbcdtAKJrFyWZDyXZ4et5ET9sXQ5rSSidH6qYJ0O75Nm6Eprk7WRMmwRgTy2rudXt2yoP7coc4Vfj7wPj5VG4IfZ85Lg6NsVxFobHzZZ1lfQzi/Gd2uZV2z94VgA6wO6mUexqS6gvk2HbRUtvneRPHy+Sko8GGFa/tR8XndiR1Sh0aWhcCCMI0g6tSqfV8dx+wuhFwF7CuOK+lEPbtrXJZhzpOrF9Ww1NrwHk9Z+HexhuRyP/1DPqiImgSxyBI2WtmLUt8FcoIGVq1YXkniRmhTiOjVHolskalL7GhkEvkwwA2TJBKqytqsEraGJ00Jllev0W3TqfDi6/28DC5eQVJmJQZd8SmWJFxIkYmhK8RxWnREeeQMyam4dFLpiDaoIWuugJ5LVVQmc1QP/xwxGM2trSwzz99uCj/5MD61dj94hO4vPEj5EnKSaePk57s4jzYJSG1LTEJ9915P1xFxQiqgVfaeQnu7vw0/LaIkwp/phldev6a1J0erN3dApvTB71WjWnx/DFrXXwNoWgN4TcZL5XVxy3kpKk2GGTqW07Dd5i0/1WkogVOabOcIKn2o5KcUFfOX//6VxzLMEiyp0CADENS6aSuag+rye9b9Q2P8w4G5dp4RnFkC9eEExYg0eZks0I++PPv2CKrz5VqrHqJbfv4AezX+7F20VuwNPYdeb59CU94bXVKi5xahZiTsuSyEvlV2GN0ulElmVPz26y4be/DeHH3i/Lj0KhsESxXe/OvYNObUUjsXhXKBRkbZuyKN+v7hEeR6fPbOmk+kEqF5uIiqM0hY3BCi4nVR4osUnmqqwZ+QU7ispDx2GPwSAZCQz4nJxppqqm3w4FGqRR2USrf+a3o6IY+l5Mnmubst9ll6VHd44Va6qKyIhr2fnJKwkHx3Dul7pKpZSVIXrEKlQumIrXNA3u7NGGakZNulDT1yJLsQMpJhZ0vshesWcH8RYEUI16tbUeDzYXVlh65ZXG4lBPhk/lNWT1ebWjHz/bVol56v9jr68eTcqigkCYiAT6vRzaqHoycjJt/Es7/xf1IySeSqkHAx98nEfg0mOoiJl63RRlkcyG1Hgs1ZtVbrzAzbFxaujxgbDQgOsGAXGlmDEX152VnwqbvlLtMwss64coJDa4TqK/jx/V2ewyOr7kUFR+6ULuXn4D682IIctJjsCCg9yLgD8pZILHd/LgO6Oxo13aiLNENnxowd3fDrXKzY1KlkzpKgip0vncAyd3cE0aDjYXpfk0MLw84t7XL5RJDYSG06VPkkg4pR/Ul/HVmjw9NwyUkhCknNJ+IlBX5PZM2ZsNFTih2QW6RrupGw742nAsdLjIY5fJnrFGHGANf0yiIMUqvwekT0zApk689e45AORFTeEUpPzxPhZSTgUDttwQq9VulspZYKhobG5nnKkUqYS574Wl2aQq4oK3nZbkeHz9Wcidx9T4h4EdaRxvzvrXMmAx/ThS6ggGmCN+cnYLzUng3D228SFtNUKmhcvnl7JWJGbHIk4Zq1klrSIlUQqdg0hjJ6D9mzBhGuNra2mB1uWCcPJlVCHIvPAFOSTmJ1w59ftX3Tk7I90HJq8cyYi+4IOJ7cTCR/8PSHCIP695/i3USuHq6WThV78U46bLLcO7FV6Ng4hS2wK58/UXZdxL0RQMUKqbiH4oDu9ZhwwfvYL0UeCVAceIkr5P01mLnC543wQe1WQe9dHKPmp0mExSzOh5mtwdp3XaUm7vx8u6X5fkz9MHKfeVlFHz0IXZn8pP0mKQo2etByA6E2H6CuW9bWJujDXs69qDAlYX7O25GQRZv9Q16a1jJyuw2INeTjiQLX6TUZi+i5k1B0OeCSqOHSpsMr9SOqM+Pi1BOWjpd8ASDzHN8bQZf+L+xdEMVTWPX+SLoqK2R1RWVzQuVJ4BoN+0Vgf02J1uU1nXa0LxlK6quugrWL/gunoLXvC0t2DWG/93TyvYjYfcWwOPB57uaoOrh6gQdwLUBP/b5PbSGS8qJuV/PSblEkubu2YFfJ/G/1z42BiduLsEVOyvwi5KD+0CoLFC5ow2BAUoy9Pd0hQXdLe/ohkUiK1/26t6pk3Y9RwL6jJx7590wS22+pGAkZmUflGTQ4L3cadfBEHcjUgrmsS6dMXNoQvfgEB6XknW8xVx02QijbZvkYRoze+6om1s0naYuq1Uonp2KjOgM2AycnLS3WSOi7EX3GiWckmGYkJilgTmVK0JNrUWhbjwp+j15EHJCB0i71IUjYLBzQ6tf60CLrgN/3/Uv1Eob+q5gKKPH17wbpmn8sU0HtFiYcR3GOqWBcBO78aesF9Ec0wnQOI1NTXDsbENANRO6vBPkkg55akgNIWSPC7XQsr8rjJzkTU4KlXxUQNLYhGEt65CPRhqiy/CztiB+AxOKNrSh/ZW9stot1BPCTxYUIjFKj8nUfstMsdbDGmtBTRAiiVuEF4bP8Ql/zt7wSOSE1IcmaZ5RfSBeJifs9yUjt9tuB62I9AqtbXbU2uMQCPJNoy2Ov/eFsVE4V0olL0uOgS+Pk8Bf5qfDqFEj4PJDLbVlE2bH8vVM/NlTs+OQa9RHKCe9SzoEk8nE/CfsecrKoPnTI/A88wwSjh/P1U9SkYZgWD9UDNsjkiGVunKOZUSFlT/CDyYqs3Q2hnZBlds2M0IhZiVoe/V4E6tM+8nNOOdXD0BvMvFUTUnuDTi0UEdJ6olWjTapu0GkWgrsWMpPruldPYit242VTe9gU8cSdlv8BUWIOS0HDZpKtHTx34/Xp6Gw1QqbEXAaVaxzZimN2Jagy8hgU5RFW9uEsNINIcUTOlATeyknhNUNqzHRUYi/1/4aJ7fORKqGM3x3yTIY8viiN9s2CXopy0WfZUbWX56ALpP/rHtZDVtQtGlmaKVSllYqm5DiwP5Wgw7z46MRo1GzE/GOHgdTT6xR0bi8yYav2zk5Ube7QEvh1G5+Yt/TbmMejEt3lOP/yhrh2rkLjXffg9annmLDEP2BAPYUcbl7SnkJJrRXovTKq1G1v4oRHXYQ6NTwzEuBa0YSvAvSsc7tlMkJRWCTc57AFDOpjJJq6cDPJxZggkZHSV0QrpPFLZ0DZpPQuPhPn9rOZpHQTJLd3/VVzITPRBLtGJa09ZWhxW5FLCxHCppwet5d90JnNGHCiScPiRSwFvJ9HVCpY3HiD27FDx9/akiR8WIgHxF8oZwQ8qVQKgHKVRltyB6fiJv+ciLmXzqGzd7xmjh5bW6NzCkSyonwp9AU3uwZZVBrvfB6khFsj/RKUQjZQFkeNOsnyZiERlOofNhtaEfAy4+hgM6BFr0FW1q2oCqd/9/c7lA52Fu3AQmXTWTeNkKyMQsalRb6vBh8W7SDkYi6CfwzRgZ3yzsl8HeZWPBj0O+GcWyC5HXxQW/SsunA4UhIMyHo/RpqrERSdjSyJEKSVRwPc1rUsConlNodnqFihoqNDKH1lMo9lsVlEb4TIiU3n1QoK6IUjkbHdO+IgCGrJsEgM4MLIk+oH4Jy4qmRZnHl5cpkpNSfIkdhOJ1O5EhRFAR39iTsjuHq5cYOynLi5xmLib+feVEm3HzXrez6gYAPMGmh9gRweRp/7yn8Td0c8sItTI2T1SQC5aTkShO/a11uVtKpkQhUODkhFEujFzZv3ozXFi3ChyuWo83PVWadLwhXq3P0khMyzdLXfxPEwaSJNchlFyEx71/DSxyZ0iCz/kBTH2eczd3v6758F2paeOgYyuQLsDZOD0uTtIC1huZzUAdQyRqe6JrX0Y3x512IVlctmupKmFGQ5ltEn5aNFa8/h5ZOvlilxuXBVWDGopPUiNHxhWNxad+W6so2Tk4KJcYsEG3zDVjWITSX1+CPdXfC4NfDnu7Hq0kfwr75P/BWbEIgkf/upZaFUFFXvrsbhuJclvJqKOTdHu5yvuMyTw9rc5bKOg1SiYLkSJ1ahQWJMXJphw7kTxacgZ1qPeK0GtyfkgyNxYMkqDFGinLe02mXA9XWxyfJm6qOZ5+D5bXX0ZyUAqfRxFIqt8+9FN06M9Sl+3Hp7iVIMOkwLkoiaqSxuv0IGDV4oKweZr1WVpF+9+leHPen5Vhf3wWXSgVVIACj1siUs0XHFSOxxQXdLgtODPD7kzckvKtHYOuSGtTtD3U0CDl/ML8JgZQlwlnJseyg1aiAqzOkbqJhIieE3MlT8dOX3sZpP+KL3sHQ1eJAd7sLao2qj9Q/6PNMmiqbvMOVEyIpotOHZoIIhWW0gdJiKUeHCJwpnv/P7Z38/yASjZvsTfD4PXJJJ7GgFsHo99j1rsZpSHZwZWr8vHRodWoUhB0bvZFgTMD7F7yPsdO4j4AmJjfm7oPfI534tQ5Y9JxcVKVJ/oJurpyQehn01UOt1yNmQTYSrh+PbR3LsbThNZivykVpD/fM6CbHQ03dcH6qBQHm2UlwbnkR9pWPsMfY8y1XbXLGJ7C/PRzd7c1w2/bC0bkdLRWlmHZaDssrOfmacbLpf9iUE+n9JMK0MUOPdfDiq5nxSLlpstwVSZidzz+P95w5jnk+2O/oNChO5QqD6PA5FFAqMiG5V6lRVk4GJSf8xO/NyIDdbmefncT0bHQH+GaNCAtrgZc2BQ0587ArlpfVGh2x6JHavduk1G1SPYqijJglKSIEdU0PXNJGale9FZoWF1PfCfMTYmTliDA1Ox450nmg2xfAqm3b2WYjLy+P5ZOFY+xYvrmj0o5f8tqVt3LvjckdSk0eTiiG2EEgH0xRann+x6X3P4xZ513EFlBizhNOHDwim+4r1BNfnNS+msWHn6n0AVga+AHvsvWw0fGEHks7C8MiP0Nabj7y7/o5G3FNxEQcHFTyofA3h5b/TlbWRDx4ZjuWztbg76f+nc212dG2A+WdYQFXgaCsnGRJSYNi4dB2UdhP/2UdMrXN2VoAc8CInkwvzD8swHupy1Hu53Xqj/c9wy6TfPFyvL9RCu9hnUphME8LOdxFWaeRkqhYGzJ/LQuTuCS8oqMH+tw81KbzBflnuam4JpeTnSSoMLaHKyf7HC5sltzmFqOZkREx3bNz0SL2PSHHaEDKGafh39MuZd/n9rTguPxE/LE4C3OCWujXtMDwXTO0QcAZCDKfh1BPaD5Pa48bi/ZxOTaly4JgHt+NpRj1eGJiLjRNTuxfVY85MWY4/AE8WR05EI4OfAqpIsw8O08O9OqvtBPuNwnHjzKT8e60Irw1tRBz4qIi6sXDBcrrGSoowpwgArOGCvo8p48JzRgRygmhYAZXMAtnzokIuRqtyEznny+t0whVUI35mfNh1prZvJsGWwO6Wi3IOO5lxIz/LbyBSvi9Rlj3n4wkOycn007PwU1/OwkLfjBwXg+BZv38+qKf4ro/zcPffnc3fnfV3RHKSXxacgQ5MTTxdFdv3SboUkMt4VETU9CkqUKnpxk2SzsqrXyDU5BUiISLxrBcpqQbJiHx8olQa1oQtLWg4cu1OCD5U2ac2bd7SiT5EnatWMLUFcorSUiPkk3/gR4POurr5fRs2oTtWbmMTcsllKxbhbcfukf+/mDKCW3SnnI7cC+cmDI9AzrJTCxmCt26oAjrHziNdcuEQ5hiyQB/qBDZO+Ht7ZQgLVSYoZR1OqT22+TkZFwxJw+WIF9jWltb2Tll9h13Y9ptv0CdJhmduniYtV74ghr4pA1Ls7RSi5LMFemc2Kv8QWjqHCht4ecE6j5UeQP4oSEKT4zNZpuwqTlxcoYTdRVFaTRIllr5V+/n9oHZs/sGqqWkpPSJEamx8A2nyRNUyMnRUk48Kv7BIymP2sdOuf4nuOEvT+P25988aGcCqScTTjyVXW+TjK2aWH6ydXfUM4IhsPeKK+DcuRPte3bLM3KyH32U7Xjk0fZVfMGp2MrnksSO448VbPNAE1RjdvpszM2YiwXZvC3z4/JQ/HyNxcFCgMilHSdtzJn/g8I+/EHkSoQlPipSObFvakaGLQk2tQPBi1OQnZiLOEMcyvhTw1q2Dn/PeRMtM51w7fsQ7l3vwCAxbX1mqPuAFj2hlhBUJi0Ln2s2hlp7CQsSuHKy2+YA8nLRJOUJ5JsMrF2QDqxkqFAslXX2+b2hTh76vqAYCdf9kL8vDgeakvjv0y5hbkESmqL4iTDNYcHcwiScmBCDX2SkILe1CeMstciU8l7IgCvIicCeLv7/ymxrgT5M+qQhg2Qwo/LPJCt/XR+0dEaoJ63VPcw0SZNWZ5+TzxZwyr0QbaT9ZZzkS7Irgd6l2XFRTFk6JTEWqX61XNYh4tPd4YwIBvs+0Lyjjb0uMQPlUCDmivQmJ/MuuRILrr0RJ//wxzgW8PMTfoqAyg811DB7YlkoII1UINR27kG35jbE5a8HtVNkZl6NxlWPwteTAYPfBBozRCdwnV4zZG9NXJIZGq2GhZYZjHxDENR4MDaPH3O1Ev83Vm7FHv97cO9+l5V1wxEtdez8cemD8lyggtgCmCYnI/X2aaxrkN3vVL52bV1tYV6FwukpLHStN8SmiXBg3eqIdY1F6ZPSEgQ++t1v8c5D97B23NKN6/D1c0/h3d/dx5oGvn72KTSVlmDjRzytdiD4pBKCJsWEJiu/TgFnFBBH/kB2n043K9+EDwMVmJwVe/jKiRwMGCI8Ld0uRlC0ahVSpYGDveHv6WGTnwnNkpcsOzsbF07LglvFj/GqZgtLn/6ZJhl3atPQ7PDAoPIi1xxSWmmjWy/NsxElmSvTE5mKOsXiZ2SktKUHNR12bJBSce8Yl4nrs5LljiWRB0NxEeGP0xwAzGZzn5IOgT6bp556KvOezJs3j93W0M3VErM7GDFjabigKCdDUE7sHv4hphkjhwOxEyyv3Rpxu602lIlAsHa0sYj45m/5XJMYUxTziRCE6ZaMsmwHvmUD+z537jTWvaMOqJDuScb8DG5GvLCIl5O+rvlaNn5RDZIwOTMWwR7+t2njDdAl8xPwdGk8vfCcuCq62ByfriU8ZOyNlM+Rn1HEPqh3zbgLjrF853ecJRH33PAwJk3Ohrd0CVOEKLGWPX6aWU7XDS/pEOhxtEkmtEgjS7OknQCRFOrRJ3W5JSsHTcncw5Bn0rPfmZkXj2SVGnmOAHSBIFxSkJrA3sJiRJ9yCs9poIMuiR+YOSY9q7N2xfHvk13dmJfNdzFELB5b+xz+uurfmCB1GhA5KZAMrzGSKlAlDczKaG9F0rTQpE+SuX84n++mKsosOC0xhr3+f9aEBtmVS6pJ/pQkRlBEhLcwGYajU+pAyjbokSK16U2MNiFG8plY2xxY85ft7DqFKG1YXos3/m89SjZEqjUjCdu+Dkxud2CSSc1MkIcK0ZlDiE4I/T61Fc+58LKImv5oRnpMOh9aR8TBk4ypyVORG8tPXp2tHwO6engd8Ug1P40J4x9BTEpmhJFUo1UffnheUQbrwiFMKhyLsQljMS13LtzSbtq8YxMQ8PUhJwHJr9HewpXbzKhMlgzbG3QctSdOQqM3jR3Hx11YMGgHC8HncWO/VJZmr1OtgkZ6Po1XwxRg8u1VbN3IbnNYu7Doj//Hfk+QG6et/5MdkW9vO1dOPPF6FphISJI2VGLz47MM7IGQTbFDVE5oBtGWzz5kLb7tEgmj8v4v39uB0/72LfY38fNDRryREaLB/CY0kqO+uVnuiIkz65CXxv9X60oaUONwodXjY3EKrWYV0lSdyI0KrQ+mhCS5jCtKMrRW/n18Lk6JjpIVk9fX1zAySWm1+ckh9Zq+f+66WXj8cm6GDldguo1mTJ8xgw317A/Tpk3DDTfeiEmTuA+mxS6VK/Va5E4cekl3qFDIyRCUk24HN5YlSuFRhwqqr5M83dBSgoA6JOFbnJEGOgqloqC01q3cWJxUGAp8E+SkpaqC7VLIMU5+h7xpM9kOgpDtSWOqCeHErBOZtNxsa8bOJj6sbwcZpIy1yM/olv+2NT0b4E7kB/gVehPijTpMz41nrXrtL+5Gz8o6litSaajH1uxSeQG7ctyVuPv659j19Ho70lSxsG/kao6xuFjeBdJuxjQ1BdpkE7vsDVpMmk2Rygn9bpGJS8El8cnojOWLSY5UPH3x+jn46Zw8Vn4ptIXezzhpYdhfUAxtchJizjiDfS+UFzoISTUaW5wFh5Y/fmGA7/CSA04kubqhC/pxHLVg0s7KasO1s7Nw3bxcvHvLPJYuGVT7ZHKSNyd0gBNOKOKkZ3ttF+7I4n8rGWNp0CAjlFs5OSmalSqXQgYiJ8JzQqbXAum9EGUcwoGNLdDZ/TBKs0tWbeBSeGtYON9Io2MzX2TTDBp5+NuhIKN4HFMjKfOEWoaPZcQnc4XwgUkPIcVgQl40/ywEnNyc2bH/XKRl8o2DKiWk8qXk9lUhDgXpWXFQ+/gJWRcTxAcXfoCXznoJgSKu3KRI/gsRUy/gjZbyKTwmqKBipaj+4M2bgH0Tb2TXJ0w0IClMCe2PnJBnibD3u+WRd4jiz2fW8L+3cutGVO3gmzV2MqQMDZOZtedSO/u+71b0+zwsQZuc4lo1OknxpYfWa5iXJJycsPsNgAkZPG6/yepCuzRYbzAQMfnuzZfxwaO/Q4+Yq5OejU93NjIP3xtSAvbgfhPeuKDNy5PNsKScEM6cxjc1Tocd/97IH4vgTTMhDZ3INYfWh0BaFvOfkecsyxCpcC8o5mvOR9sb8MZ6/jgU/hYOWltpKGH4a82U3jurKQp/is7EyZtK+g12/GNFEwpX7YIliv8PuyWVdsqUFBx3weDxAYcDhZwMQTmxdEoTPQ+TnOiMRmRPnMJq0G320A6jwSClO0ptWGJwX4+XP2/KbO5NIaRJ5IS8K+Wb1sukR280wRHL7z/Gl4eJSdxASGbNU3NPxa0tVyDhX93oqe3AstZnEFXwDNbY/wCfRE4+af0CH8QtZQ7LvA4Pvp03ln1wXQcs3LybbEL13G7cm/d35MdH7pooO4UMq0GXi3XGdLzIs1Vizz8/4n5JV49H+j2zoZEmpYaDHr+3ckIolPrvv3NxBSHW1gOT1NFk0mtglk7KwndCuFrquS/LyYcLKsScdSb7viVReE74488vSkaLFN3vlxYKCmoTmGjnO6pd1fXAPx7HIxdPYXVqSpfUGvgBabR7EBMb6aeh0DZ67yjnxG9xY3K0ia2jay09WPdhBXpowTRq4C6IgicQCJGTch5W1V9Z5+sdjUh1BkHLxyVSBkyHzY2STZwYxNn5398U8MszTb4vuKVyFKOr0g72UL0tVz38GK76/eMwSwT0WEV0Aj8pxniN2LDxbEywfwQNgjD7uHLm7ChCXCon9rb4UBdNSs6RTU5OjjdA7eOP6wuEiKl2bOTJQttLObEa+PFfoMrE6h+sxm/n/zbi516PH3tWNeCzf++BT2tCrLUSEz185ktvBAJ+dErkZN5lV7PLloryiNJOZw//vCbGc/WZiAl1apH36KJfP8jW1rNu/zlmnXcx+/nOZV/12+or+01STLBIXqvE6NC6IbKTRA5KfyBzrFBED5YUu6G8FVulvKnuNv6/pEnEDU6VPK1cTDDPiu+rPMmvWwqS7MnPh9frhdFoZJ4TQmYyP65NKi/e3x9ahwJJBmRHORCndyPWxJ/LkcxJfKZBz8pI4TixOBl3nso3tJRWSyM4TpYIy2AwdnPyU5GWgwMuL8ocbnza2tVnPXqpoY0NS11qdTDDrFPL3/fEsDC+/2fvK8Dsqs6u13XXcfdMJu4JIcFdi1OKtkCVlr8tpfJ9daWu0BZKC7S4u4QESwgJcZmMu9+57vY/7977nHvvSDKRttCv63nmyWTkzr3nnnP22utd73o/FOTk9ddfZ5OIKZyNPrrEfIcPMpKBGALvDrKQHyImZKwiKXN4tOOoyjqEmkW8tDMayZCTQJrf3IsKeNkiLHbIIaEgZCsnFFpF00TJKPuuqMnWLuO1v24NP6EXqJqgpgwVgXMdZ+J89wnMi/LgE3fDp3mT/51kADHR+kbBTVvUu+G4mJsTAxt6Ee30IiJ288alhdhYvhdBVRg1tlxyQqSq6Lbb2Ofu++5n4901lZWwX8INpwcDxdP/T2sf9jvVcOkk5SRzk6kT5GSDGGxX7BqVk2IJNCmVUO/PGEfPCXvg8HqQVKlw24FefEXvRLRhFoZEfV2qrX58TQ1MIkU3LkaDx0UqInvMYX48xxxOdL+yjs0XIVBJKG7mz0unFNHT2cdDocDqOl6e2Ng2Jisdj77Rha3revD8UiN+cYENp2xvxS+7hlFQSWRHhWgwgZ79uV07LSJbJRVNoeCtUfzv8z7kdYaQSKZw7c/fgZ/q7grALsiJR+xM/1XkhBYOtXgPFFL2xMSfoXTQQ5AWirovrssYYz+ssDj5+eAPbkEsNgZVchxrzAloFAmk4jooU9XQGfi12WfImNTzxRDRI/67WiVUcX6e+d0ZJdYkhitK0IgIcgljGn7v0QXTzD+mzOqcIrx012688Y8DrBPLoEth3r57EHpThDBmnQPDw89j48ZTMeuy/dCaFWzkgb24hM1mkiZbU9lmcICbLRsXrM5JViXlt3bxcnz8l3dh1srj0bT2JOarIFPsYGtu2ZuQGOXXhbrQCFcgBk0ygRJN5hyjMvGhyAlhblkmKZYaBZ7fNYifvNTMZuQQBgYfw/bmv+Kbv/4HIl43lFnx7FTSIV8Hgab03jjvb7i66eGDm2G7hBk2zymrJjSEkWA2c4Kap8uk6TKQh6WWv7eV4vkGRYlbKsVMxBdPn4VzF3Ai+skTaid1VU2FpDAgx7Je498GMhk5kn9OmuK+zRdCUVERohqJnKg/XOSEQtloyN+NN97IPtxuNyMpH2R4X+uB56k2eN/ogffAgLyzd4l23yMt6xBqFvPhe2ORTIhSKCEiq0e44Slis0JdUSFPF3Zk3VAoPbOgikt0yXgMw9pC7DXxNuYdST4LpSqWewOa014GFdtzA9XeYqRoNkPSAiXlHIs23DGNBwOBAZiWFsG4lJ/4gY0D8iRSfYNDdvPX2iebf82nngrT6owkXHDLLSzn5VC4s3cUd/eN4VNh/tp1yXQOA5fKOjQMUCqjSHVbdgxEqFWjUE7MCgVqR4Ywp7NVzhp5bNiDDT/6OVw2R26NVqtG46LGHFJC83ck6IYGUB7li217cSl8r/C8mPoyC8ImvjuyW6f2Qxxfz3dDNERQCj06oEqhpUaPbfV6BMW94j1vECqVEjUL+M+/eOdutG7lOzOajLy+g98cyOCW3xtFMpDAK/fsxa7tI8gb569dX2VGsbiEjwU5ISmXDHkzQXAgyIaGTdzREtLJFDuHBr//Lkb+sOOIwq4+rMpJLJVRF84UrvPweDVsouxD6Ii3oM/aArUjOSkv5HBB3jFJOXENZfxNjnm5eTGaktyyWZ9CtBl7Qkz5yEYynmKTlwnHXVSHy784F/qoB9HWVqRCmfe5ufnr2LP384jGeqG1xFGyUMFKNBVzuBdLmti+/eXnEYjyxzOqLKhdkukGqRV+PAmkBFfN58+9bz+fMZONuDDDknJCWSXf2/RnfPVvtyMxNjbBc3JwckK+O8Kf3+rAab94A5/9xzbcuaGdeTWi0RHs3387xge+hxVx/n7OO+cilIjYiIKqGhwY4uSu2taDVSXv4+SKd1BpDbDnMfjNbyG8l9+TJ3bqDIuZU+Q3kWAS3TvqVAynL+UbYKfwfey28vdtzblnYcVHLoOqcX7ORmsiiIz89srFeP1LJ+KK5fxvRCIDCAY75A0DNTjEpWTsVAq+jszIBfY8FJyA7PTz95qu3wcGMsSXvldQVISIICfx8XH09mY23R94crJu3bqcUDaaSkwk5YOMWCdfkPvWb8fme3hiKwX4kVGLmLOt8Mjr4lRLpcA2L1xQmFUIwodYip8gjmZ+cgSTcVi/922WukceFWkGhgRK3yQkVFq8VHgatvZ64Yv58E5EdO4EMsydIqgjWzPycWOkGqn2L8GmrIMzYWO97wlFEh6VH66IC9FkFGYx1Cy8ewzpaJLN09CUmtHp4YbYWlvtlGpB0de+xjJNDIsWwXruOTM6Hq+KlNMh0TNfFEkjLUo4hDphzpVQOjYsT1dlr0/s2pen1Li6M4bvaixIj47inI0bYIvHUCWIyGNisTaplHBkRSxrysqmJSfx4RE0jPNj115WiaGXX+XHV5ge8z3jMM+aetggDRcj7BnwYpaWE6whhwrtTfwGtEJq/xWmtpOvmY2ahflIJlJ47a/7EPBGcevDOxASC3p+JA29OCypRBqb7t6HFVG+U9mrTmCOuMm6nJwQRrJSfw8H3ngCq97dh8t3Znb1B8PwtsxCSHj0pVZs7aKOjjTG/roXnmfa2fiHeH8ASTFq4D8ZZqkLTb9T/ppRmZZLOiGTFxc9fRH2uvYysv/c3N/juC8WsS6do0HCHZGVE+9o5nq3V81CSFq/tBo2uFMCvUfNih5ENEmkIjH0789dSF0DARaRrzOpsfiMSpirSvhA1FRKHsI5OvoKBgZJwVVCleSbJmslL5FQCVuarktKLwVKBhNeedRG7RI+kyk7ETgbZbPn5Eynznm9IxnlJDAwhIVj7TBEggi88Wau58QdPahqd8KsAmhUCnhCcXSIeAXCls5xjLs3Zp6fvRfUh5WYdRzO+8LtWHHhpVh23kU4IGZwNTkzC3uhoRXeZ56F55FH5BK3BEn1HQyHJ5ETSTmh/JD+KC+3fa6abxQ3GBsxoC2Aae4pWPvR6zAoNpvTKScSQaktMCOdTqKr6w/YuOlUbH7vLIyMvITI/nG4n2iF6769PFByYABqD5Xw+bFaaTPhgkK+maNRGRIZoW5IvVLBPryJJOJ5hYho+P1ty/p1ePnll/GhISfUE/1hC2VLesQE4rgFDjGkrndov5y5MJ2LeSagRfzyb/4A1//6TpR8eQX8q/hJqIsnYI7EoCQJnGTSID/piQiRWpKN+aecgaLaeqwrOg0+jQ07+zx4pu0ZdGm4GqMIpxgpSUUScD/awspTmlITi7in0s68tBEV5koUxPnJ51J7kBYm08HAIBtOKGUFEIJlKWzo2yBHctfZpjY90eyd+g3rUfm3v8r+GcLWFzrxl9veYoPKstEfiWFfVusvoTicQlxIttllHQmknETbRD5CPMVLblSnrbHh1pYozvEqWBrs6t3b8HbLFtw5l5vM2kR3DV3M2a2amjJOxGIiZyabnCSGh1HXz28md138MZx89Wdxb3MnfL28jbt4ZATO5VwJk0AhRPFoEkVWPcsPoGt9cNAPczyNpEqBHSZ+nD9dwQknpcwm02m2OJ31yfnMUErk497nDmDn/jEUCom1Lsyfc/mSAlTOFXkGUMCvSOMFlwfnzOc3sbZCNcZNyiNWTmgq6XAsgU2eIMtoORQC7XyxkW7/aVcEH//rFnRu6ke01cM7yIREHR/K3Pz/U0Ezd9SGcagMdB4poVJlrqOwqxbrIy+gzdOGX77/S4yGOYmYWCY9EiTGwrJyEvBmdrcBdwz9JSL3ozAv57ocC48hlAqjr4gvlNTSmw2pLbSw0iJfM/o5nDBE9u5FNDqM/c18WnlV1c2IdK1hn6ssA4jHfTxIjAhsRzvee+pR5i1RCmKf8ETZDKeGlatZRxalEk+ENA2bpr5TFooEuj9mZ5yodmeIYHDTpkxqLG39yfd1kERaMsW++7VT8eBNq/D7q5bgrzdwf9/WbjfGx/ljEYyFEbi1Duz3pNnAyrVXXc8CA6UskTWVGTXXiGY2x4sQ7x+Y1Ebss1jgC4XYMS0TmyP2WjQaaIWi0i1tWpwWHKeLI6VQ4YGaqwBbOV4Z8+JpobI3TNi8TYX9zbejvePnSKcpaiCJPXu/gJE+TiKiI0G899LbeOWVV6BKp+GkhFkAV5Xk4bpSvsF6esTD7gUPDvKS8/mFdiyy8HOtz2BBROQhGZNxFtx2rPFfQ+wU0Ch1KDHwhbilhbfsrr7sqqM+2ORGp4tRqVej6aSTUVBZjUpPkNXsDcIA2bWTB5vZJ9SICURMTvvqj9Gi4ydCx6gf/2h+CFFlHBET//1ohwcjv9+BCA3oUilgO7sGmhper1wMNeYU1KI+wll7rzbTdioRENOKjDp0d+Dv+Pz6z7PPnXon7CJTYSqorFYopRHgbBeQwo51vWymyM7XcyU/mhPDXk/WJEtSThIi5ptALbOFWd8vJXLS2sonRQvVhF6fVpApukkTOSHQLm+B2Qiz6OPPLulMVk4GpiQnc/fyG19KENIn23rQ0srJiSqaxor6jKrVu28cj/xwC95+pEX2phBa+30oHcmQBepGOj3Pxu6dZJQdisblnQ75Twhvbx1EQ1yFiJgiOkvUgZR1Zpz3uYUInFWEP1siuNsaQYQ6gLq8ONVpZSRhc6MeiVgKCZGDcDh435chhjNJnE2KRSItTJ7VUMIfSWDo+Q55erau3i6TEyKew7/bjvDe3Fr2fwosDj1MxXynb7EsQEH+afL3Iq5adOr59zYP8vbZQmMhLFrLUXvkou1eqOL8PQgH3ey6o83A37/5LgYqP86+Hi/IvW67fbzE4K/mSmvbextzSICU9llQlekk0s+di5Qmja7kA9i46RTE4y6YTLNQW/N5jHcFEB7XUgoYXK71bBGn7ivynbz7BE/EnXPWqexf2lRQ7MEFX/w6y7KZCgXVtVDrdCyYktp3JVCIGym6dMOkcrulhZeNJHJC9wZqW1Y7Dt1OTMgz65jSSR6NNfX5MGpV8IZjGHVlRjObCsMIK/XY0ZdpO/ZF4mzQn0qRQJE+44tJRXexewf724KkZPtNdi9fLkfB67LulZJ6ElVr4BNqT6VBi+uivKz198IzcV//GG7Y04lIKs1Sos/MP7iBPBzuxdDQ0+zzptk/QVHRBUinE+hQ/QAJrRf7VX14cfM69AhF5/85dCzk8uIiB1N3aTNHxOS5UQ+eEYToymInlogmgANJBeI6fpw/edVHcbrojPzAkJM///nP7ECT+VWCz/eva2X8Z0IljKWe2DBmHbeW1RmPJYikXPvT32FRA98lmEX9rkfsBhwiFXUiulyZXajK1I5efzfMGjPMIsqcPDO0yNM8oIJPLmCekVcD/HeWKdVYUz0bTWFentmXNadjKMiJinFhARR6NRu//Z4pU/Ol7IbDAbXHktGT0LZ1hKkKBN9YGH/byC/Wj5cVYLFg4iWRlGx2m0o9KXG7kPL72cVPN2X2+i1aqAtEp4IrjISQtdWFBczJvtKW2b1OrNFqBTmhicepSCTHEBsfGsLCze/gx7/7Mb43zEtau9Q6tIhF/8LjF7Abm/xahT+nW0TRS7kCo21elI9lYujPKbCx50VOe0JfFglwlJkwblYinq9DldOIsCAnFA3tUaYwoE6yHVd3MAKPKo0CO78xPL1jAJ+u5ERpR40OIa2CqSeMxImS2UywzZc5r7qniN3PRtAThTHOFzPrCmHQgxJnKzSoTCoQVSlgOaEMmmJ+HBJDQQTfHUS8LwD30+1IJw6tzHzYoNYnYSnn164Wy1BYeBb7POotQTSuw7hxQB4rMV2J9HAR2jHKFAKNkZMPhSoIV18AXbvHmMkzoapHUqlBoIarwKF4CD2+HpmcWBoq2YYp4B7HYNuBSeSElBPKGyFDq37uHESWpOCubEUqFYHFMh/z5/0OvlE3hjvb4O3kr21klO/MJd8JYeHpZ2P+WWex+woh6Tn4+UUl7dIGXjaVTLUESTUh06tCrURRZ+Z7ZMaPtrQelu8kGxRItrjSjkLDGJLxDLEwFIQRVutZRpTknWoZGESdrRPLSgeBdARpcAUhENiH+Cj/XfKepGP8+o71dGO4sBB9hQXsGp5qISffCeWMECjXyKRS4Zzup1AQc2FYacJXWvpYQxzNzblnbg0b83Ew9PU/wHRNp3MtSksvxZymn7L3LKWMwFX3NMYVXPlpqK7DDTfcgBuXzMc36krZ49Jz/IjoDPx2Wz98yRSc6THURt/AUht/juvdPsSEibo6//Azjv7p5MTj8eDmm2/O+ZrVamWk5YNufp0OvlhGGg0l/UgoElh96dGrJtPBftFF7N/yGt6ZI7XfZZths0HJfxI0jk1y4JpezItICULgvLoJukor1u0fxq9bOfFoSqsw21qDOYKc7DdmyAmZYglKnRqFn16A/ed5MKZxY0nhEvz+1N/jW6u/dVivq2N71tCxaBLt27mq8cbTbWix89Pu1DwLfja7Ah9R6nBRXxzxLOWEUC+kS+rpLxdEg5nyfFnkRETgJ1wRJEYkcsJvxsc7zNMqJ0qbDUpR640eOIBUFqlOR6NsdMCq9gP4+GUXwBSPIaLTY+tsLlfPrs7UiwleYdKjRTvojaJatCnGBkIoc2XIydmiZVB6LpJCQeWdr5lC+P25dmxcbceTK0yIapVyNPR2bRIdgrj1iC6em0+oZYFPmzpc0HvjWEBty2oFdtbo2HDBBx54AL/85S9ntFlIpdPYkaWcdB8iDn+82wczvSm0wC0sBN2etVDgNiW/cd2firB5SRI5iQ+F2A6f/S1fDCFxLkwFUsUO1eHzQcPAwCN4+50VMJfwPKHmDUWwGE+EXfNVDGy+EaPmPiwrXYabF9x8bMnJ+3yXbijjaqdSG0JfsxuDbfxYK6DCj6+sRuvlfMf+tTe+ho88dhEeOvAQ+3+loxp1S7n/o+Xdd2QzrFSGzSsz4v7bP497v/QZJMtKkSjg70uB4xwsX/YkTKY6Nk09lUzCpOGP43K9gVQqhtmraXCkEvNOPgOnfvzTPHDRoZPTWw+F0sa58pgOCYnhjN8k4XajYEz4xeo5kQlu2pjTTkzzvKQJxTPB8monmvK4+gntQsTiaqg0aRjy4vCG4+h28b8/3PstfH3lL/Gxxr+w/xcWnAqNxsnKJ0GV2OSwEtSobIbduWgh/xvLl7Mo+Ikg5cSnFwP96P6QiEHbtxlXDb7AvkZX2+01xfhNU+WkFuKJSCbDGBh4lH1eUX4t+1epVKOu9Mvsc0/ZBkQdfE2ojRWy1NeJ6cQXieGB0iT04/EWxkZfwlKhnPSJeWilOk2OQn0scdSPetttt+GUU07J+dpNN92Eyy677ENJUJq9XHYlWGcVsymreeW5i9GxhPWss1D30otY+90f4rQbP8tG1ROKxRTdiegU6YhaTRRqM9/tXDbrMqhFEJs03pyICeH369swhDR8eiUzwZp2J1EUz0MSKRzQd0EnhkjRkDIJmiIT2sVodqqLUxR+vmHm8eTkCO+kXR0pHnVcfmzeOIjhLh/e6HazRdQSSqEqrsBcswG/Ki1GQTQ9STmpFR071GJsquNlNtodSWUdqi+rSEGgizVBfhsxu0hc/Kvt05MTuhil0k5oC3fkq4iwZM2PoIRZlUqFpXmcVESFwXWiH8ab1alCIWiknFB3o92dQNl4AiVKFZpMeqy08wu7XJ+rnDw74sHeZJz5jtSJNIKitZpuF7VX1WKrLoGOMb5g9Igb5Oq6fFy6hHeP/eyVA6weTBiyq9DfO4D29nYEAgFs3JjrJ5gKlGvgz/KZTDWwMBtBEfQWUylYXHg3+O9qkmkMahX4RzqK2x/fhV/v7JV3vNm+E/8bfVPG7McGAhj84Wa4HxcLxAcIyWQIyeTUx6W7589IJoPQaovg7z4PrvZKrH/gAPy9JyDqqUTj7Ar84qRf4Jzac+SW3Tr74YVW0a49uG1YHmoX6w8gPhhkzN1Yyc9jlSaMnn0uDIohmwzqGrgSXiRTSajerMC1W7+PkV5OXijFtmHFavZ55/atk8ywCkWQhY6RZ+S9N16Dp4rfY/av382SqikMcv9bvL145bm3sAWaVBW/fw+bOn3LfY/izE99Xva7kPdtJsoJoayxCVqlHoP7DsilHWnzoik0IPw+D3DrthRBeeoZOb4T8qMQwrvGMPij9+B7jdJSD0546T2cr/oILp/Fx3244gsx7uLXVHk5/7vk8aNzQJPgpX6Tmm9kHY5VsNm4sTfsyGxu44MD6Oq6E615DyBYzAnTCSfwsSJTKSd+oZxU0X1v75NAIozPj73Iyi00T+v/VRdDOYMRB0PDzyCR8EKvr0Be3ony142BOTCPLAaUKViq+H1B1xlHaEuuuZ3QZDZkBqKStwZvwB/YyybHN4j733kFNjy7JBO4+YEiJ6SaUJbJPffcM2mHRoZYZ5ZD/MOAcMKPwVhHJm69Jg/5WQOe/lmgMDOV3sDkzxt/czdu+OVdzF9yMOVkTn0PFDTPI16Cekc9WsW8hhTSsIrBXOFYErv7+Y3IsoTL7/7XeI2xS9ePsCqKxYWLc5STiWWeYtPhdygRCQl6Y9DoVTjl2iZ2PPtbPHjq59swbOfSLikKrj7+WjKlmQhrQ5Ug5YQstBiZ6VZSTiRyQqUrhUohy7hKYz5tEaDO4zLjfItB7tCZ2P1DkMhJcBO/2ajLSqERqgv7voi/XyamJLOvUZdTa5bKkk6zybzZZkIKeDo9pIEpqYDdqsNbK2fjpWWzoBIXcbleI+8+SLWgzBPCcXvDOHVX5rFoCnNjhZ0dv/bRILyhOHyRhBz49vnTGlhq7bsd44iLjhiXVYX9LZnd5vvvv88moGbjlfe24qr7Hsae1rZJJZ1sU950iA9wohQ3adjz6RSDGxVaJYyXzUJMtFL/cWc/QuSGEUSEVC6ap0T+oMi+3HRkQozKCWnIGTsfFCQSAWzefC7e3XwGUwWyEY2NIRQiBVKBVStfxHEnf48Z50k5JEJOOG7RYpYlQj6Tc2vOhVaplZOcZ4rA2/1wP9KC0bt3s/Pf/xZfsA1z86A18V2uUhtE/wEPYlldb0WBaoyERrCvuxW1I4ugSekwf4gvkNXWalTMXcCm4BIBoPKObIatssqhYwQa0Bdx8mszMJbEP77xRfz1y59lvpL65atY2q/dxk3iHg8nOhpB5iVkyMmhyy0ldbNwRtkNWGP8CO774i147e4/ZDp1CowIbuF/Y09eLaxrjmefh7ZsRTqRgHFJESynVkJTZmbnk++1Hrju2wff+l5EWjNzaiRQLk1Hx69JMoVezYnTy2218I7x6766oh9ryjbh/nfex/888neoFDEE4wakQWRNiTznWtis/D4aq+LXJwVudrr+hPaOnyFcMIy6+vdg1mrlzpwplRODyDRRJYGXv84+N624gZVbTsy6Bx0K4+Nvs39LSy6FgoY3CcQHgsjr4GNNrLYutn5Y0wa4n2mb0rR+sejaqUIXytGLcLgHiYQfjy2qx7rljbh7Xk1OcOYHipy89tpr+OMf/8jUE0qMI/8JkZUnnniCfbz6Km/B/LDAFR2As6YK2gqLPKjuXw2d0TgpT4VyL6780yY89F4PusTOWW3lfpCwZy5G/VE87/bjNcRxJ6IY0CjkuHqaPVFk1aF4TRlb5NIiWXWfKOmsKlk1STlh/w/w/5eYcpMlD6ekQ8Pg7EVGLD+nmpk+E/EURpycnBR5EvLAO0YyaJ5NMp1TJ6Yhd68vb8SvZlcwcqK0lCA+5mBlAvZ7YsiXVNpRmgoZMVFIE5cVCvxlfg2TQrN3ARIMC7iPhkYGSD4UdREncTnkJCsJ1uFN4KU/7Ebzu/z4kOE3ezEg5WR4jwtz42pGFGddWA2zXgNdVrdEdlnnxTEvDoQiQDyFmq4wFnVEmc+E/S2NCrUF/G+PB2Ns50ag4YeU1UJptB9bxWe4vLiZk07yrXT0ceWBUigpjfLddzn5IrR0duKLwwG8XtGIL2/bj1AohO2ipLPAYpiR50QhvUd5BnbuvYQ4ehUpOK+cjbnzC3HbmY3MYKhRKdEhiAtBN8sB0xJO/qZaJKQdNRkfqevsg4K+vvsQjvQgEuljN+hseDxcdTObG6HR2FBUbcXqi/nGgtrDCdmD8r57/HdZImuVdeabnmi3D94XeRs9GUJpoQ2TMqkALGvLoVbzx1frMteOwcKvjWJ/DbYPb8f2NzuhELf7+rGl0CR0MA4Uwj+eRqGYrk25JLIZttIC72im/EYkRGvm74klYWOlHCpd0L3qhKu58dZm55klHu/7jLSPj7/DFjMJslF1BmUdjCVhUlthVFtQpK/EgY1v5nTqBLbzuVJ78mpQsGAOizKgIZ+xzk4oaZzC6VUoumUxD5dUKlgLre/lLozds4epTtno7rkbqVQYFss8rBu+HXdsuQXr2p0IjvBNk8PWjhvmPojTin+DeIhfS34ch+NWvYTlyx6H0VgNm43PiYpXiiTXNSkMa7kXM52iCcS9qKiYTMin8pxUtj8LhMaAgiZg9RdwuCAzrHROTtxU6HxVUKXtUKkSyMtzw9pQyNz5QZGxlI0bK/LxmVIDbk7/Tv6a378fRToNU7z/2TgqckI5JuPj4+yjtbWVBa+RnHzppZcy0nL77bfjw4TuwH6UzpoN5xWNcF41W+42+Hfj1X3DbHf8vef2oZPkfWUE7QHe1ZPwzcdLe4fw6oERfBthPIgYa4cjUO4EYVm1ExqnIef17DO055CT4eAwk34lSGTlcJUTNkNGlHRogimh6ewqnPejVTjrk/MQbeA7h0IvTeMVKYvksBdSbGzChF4admdSq6AurIZhzW1Q5R8n77qVVjHsK59fKEpzoew3kXCc3YzLihzY8nwndq7L7RpyXPVRKC1ZqkhpKdRFk5WTJSJMjVAqJgG/9XAri6OXSjqSskmq0duPcmPeJn1CDkfLRnZZ544WrlipegKYV+OANgksbeM37wKthpGQUhu/qW84wI9rZdak5M+cVM+6DFo6PMwnQ14Vr4J7v84//3z2M++99x5TT0jd/H/v7sKYmZ8Hu/JL8cBLr7BAOMJFYqdEU45J0ZkOWkEcqPWcyMlWJPGN/DQMc7hi9dmT6/HAjStRlWdEhyj5EPR1dpnwT3yfCdmtn6zDZywM3/oepI6g++hYgRZXWrwkhMKZ2ScEj4dnDNntmVETC04pZ9k1BKNNy9qMJVCC81QD9qZDKprE+D+amfqkrRbHTpR2TCtL2EZKIicafUZ1m7u2DEoq+cStCLriGN/Bj2FaScMydfjM4I+w8Z5ePPXL7Sidzf0dNBl4fPw9lKz8M+xlw7JyQvNydGYjNCb+GIvdBlz/izvx6T//nam8knnfbuPkxOt9Hz09f8L2Hdeivf3n8nOaWNYhE/vQz7cyRYM9t0RKJg7Rzow6WWysRTIcR0pk+KjydYi38mtsoKASBp0GOjEgdWL4GXUfFnxqAczHl3IlhXyFr3bnqCZ9fWQeBWprbsXtF94Au52rWqE+A4LDemhU9Po0aHB04oxqTk5OXXg+TMZyWK18g0OdS+y15QMpXRqRhfy8ryq5EcFdfIOXV7IBqVR0WuXELzwnlQee5F88/1eAiIg/EnJiMGQmJxOoDEgEVaPg/pfi4jGYRXcm6+6cADLlfjZ/GNXgTQEEKu38q3BU5KS2tjbnc/KaPPLIIyx1jko+ZJj9MGE40onShtnMDW5cwJ3VHwR0ilJOMJZEJJ6C1rIPiVQcedoKpGJF+PVrLbJZi/B+Nz/RtgiSsqKal9dMyzNEgzp1aDBgo7MRaoUaiXRCzl8ggiGVdQ5XOXH1B+GjbiG1kuVykNnzI9tbcdLOVqhn29AR5zeYIk8SY72ZBUrfyBfG8K6MkVYC7aK9r3ig1OVKotKkUymyWmEumjTgjOAeCuG9ZzvxzmOtbDebSqbQu38cSa0Rzhuuh89She6K06AqKYUmawCdlIVi16hRIAYMLq91sp1wLJzA+gea4RFm2OI6G1sMoqEEV1OMSryrS+R0V01UTjrDURwgR38qjYsdVixbyFWb1c1hXGG24LZq/lwoUInw4p7BSeSEVJSPH1/D/ETGsIiyN5rZBFEafV5cXIxoNIp7H30W333mJbxfzHfspWolUkoVfmIsYgFL1N58YaGdmY8ppno4Fp92sTQIw6qx1oYRP9+tF1omx/lTnHe7pJwoAF2tDVoR1043SsqryUYiS+6n71OQm+/lbuZRORpQ7o/3pS6M/mkXhn+9bca5K6FQJ1pbf8jq9xLCoa4plRNpQSPQfYPKmbNXFeP4S+uP6j7if6OXkTYyeebfMBdGoTyR18d2Jg8/U2uEMqOiewB/byqanHJ7+vFdF0MTNiKsDsC5hh/zaB9XF+k8VqhEtMDe3VDnPQlb1XsYCt4Mf4QripXzFuG6X/4YCgqVo9Oi3cXGDkych2SxzIFSSWqdGx2dv2Ffc3s2T1vW8a3rYZ2F/td7kArFMf5YC0Z+ux3B7SNshIaEUmMdrBpO9lQ2LZIjg7QCI6pUIyqIEXUTESL7Jge3kf/Ofn4dnB+dzVY8WoijPZz89A88zFQTq3Uh8vJOYlOC7/vECmY4N8UTaH2qBvNnPYTysiv531fwc8fp5F4dCVqtE+qU6E4rTiNext8Ha7gBg+1NiMV0UCg98Pp2yb+zxRvEsk17WX6J0WhEULTmlkWHgbx6oJJvHA8HlDOTSIh0b315zjUgjZhIKTkZtVh7WDcnKUssikGkxmaDlywzCPgnH98PJDlZtmwZfvazn035vUsuuSQnIfbDAimi+IOEzlF+QRQlFLjep8NsNb+wLmw4iw2xGhOttfQ5YWuXmw2l2ibIybJqvvDTzpYWiHiDBiOaccx2zmY7uSJTUY7vxBv1IpLkNxDpezNFh1BNKuY4odWrsc7lw95ABMFkCr/tHmETNc1KJZsJ4x0LIyY8FNTCTIi0uNmNSgItYK779yFJfpS4D8H134PSnGJlINq55ygnpgKYjueBUPLvJ1IYFNkaJHSP/W0vOh9rxTO/3oF3n+6A89pr0TL7SrTXXYTeZEVuWUd4UojMzO2MMBn7jGI7Tr2uiZEvyjdpE5OGnSUm5GcF2CmXOJFSAF1Z6ZMSqJWYLjxpadaMR/GDc+fKv0+JsD9bUI21os58wUJ+A6YpquzYZpETwk0n1MJm0EAnvDgeAycnNLvjrLN4S2tvfwceL+A7qSudJtw5n28sgjqaSpvGHY0VKNVrUS7anLum6diJ9PiYShROpWGrsjLlhFBgmVw2o7LTTiTZckmKidKogcqhg9KkZoQsNpirnmQbJUkdoMweQmjr8JQG2pmAlRceaYGfZkZ1eBnpCe2Y3C000TDZ1XUXNr17mkhBpZ0x9zyFwhlyEo97EQg0T1JOCHqTBqdePwezsjYEhwsKLAu8xbs/KK+IOuns59WyJOe8q5ugFLN6NEI5AZJQ6+PQGdUorLagWOQbVXn4YnSg4D0sP7mBnbuEfDF0cKjDxDprPEMD0Bj5poQWbFXpy9DZorAWFiGR5Ne1yk1dMyNIT9GmrlRqYbPy8gYZY9nxCrUjKe4lUlmH5pbRQslaocU17nmxk5eqaAF8qw+x7oxyYlLbMMfOR2Soi0xySm23tRh2EUWQCYmbfvHU5BtgXMyvb/KhEKj0RChh/gxOInVqFW47rRaKBD8faXI2hc0pFPx4W8xzodVObhDQhfh9NrHEwpLF2fMdUMBjdsLr5X/XK/w4hHv7x5jv7KkRD1IGExIieLEwNgZUHD4xYa9fzG4jc7JanSlHBzZR2zP5dQwIhCuRTiugVg8jhhHoRNkxPIV6Egxx1cRo5AZuf+BDQk4okp7Ukp/+9Kc5g/2olTgvL4+VeD5MoLh4Sv/7oEHafc+PqVGQUmJNz/FQJ7W4sOE8XLYsw45vXMuzWFpHAtjc4UIgmoBFp8bsYn7yUTZAwc0LUPOJVWys+h0n3MG+Xmrmi99rPa+xDASppJOnz5O7eQ4GCuv5XvsAnhp2M79JXAUMLbAgmEjinr5M6NbDQ+OyE9xMiZFprrSwx1AqkKKvJdMI73VlFpbHWhDr8kGhV0FtbUHK24t4890o/sZKqKz8uaXTwQw5OfmknOc2+ufdMK/rgV2lwFyDCvFWD1SiLDQ+EIDKbEYsjy/aPT47VIUFGCxaiXH7LLmsE/LFsWZfBF97woM1xTY4ik2ybN8jnitNnC2uFYvB/DxUz+Mlji7RXZUNUimK0pnd9IlGI6x6DQqrLGhYXoSlZ1dDo8sY2eg9prhtCdnKCfvbBg0+e3IdLGG+2AdMefLE03d1FmyZswqvzFmBsFaPCmUaP5pXh5V2MxYnwlCmUvhkKsCSIQnVokNqOt+JX5hVfWnyR6kxKkbOF2TlvkgodxjRhhQeaDSyxZRAC4CsnmSVdoh8ZMfch/eM8aQ6Ue6httAjAc0RYWVAlQJ6UXbK9jUlEkFsevd0vPnWMuzc9Ul4vdzLMDr2GvvXalmA2bN/iMpKPnojlKWceLy00KRhNNZCN8VixdC9CfheIfCnk4Dtf5djwg8GCqyj8370z7vYwq2tscIgziciePYL6qCrzqgWSqUBCgX3mJx3Sx0u+vISqDUqzF5dDJ1diWFzF7aXvobWmo2oL67GuZ9ZgNOub8KFty6GWqOEeygBRympMGlozPx81umKGQmlhFRbQSEiEU6SVG7yhiXlTKGJkHwnEiiZNBjkHiilScOuY7ruR+7cyQgqmagDBduxw3oB3BWvysZN8tZQLgptpiT1hGBZU4boAU4IO62lyDdpc8nJ/v1szEXPJz+Jfe+8ix91DGJcBFyy3z+BbzhodlgiEYHPx99vhz2XDIR9XLmhsSU0OVmvL2UEhpCfzwPlJkLr5pukyHL+HqtcKgQ7BxAxGODzFsp+HH5c0tjoDsiJ2QGRc6WPR6EiIl45tWGaqhG7du2atvtoqpIObfZIgSNYT6mE2x2H38/PJ5frTehn8zWPFKXBwcfR189Ht2QrJ0VFfNJ8MNg2qTRF/rF/RnbRUbcSU1cOGWKrq7nESCDC8uMf/3hSBsoHHdO17/47QWFKEjmZJVIFTXErTndfybISrl9dzW4i1E172bIKNiab8ItX+Q1hSZWD5WFMxIqSFbIqUmnhJ/L9++7HeU+eh1e7X51xSYe8Cbfs78bve0bw6b3d2BGJ4NHjLfhG3ItTtx7AG26/1PyEuLigmsx65IkFyiV8J6/duw8HhrisGBKlHbpYwjtH2YujxS3/5iuh0OkQ2roVoU1vyc8hvO1tpFNJKFRaKHWZmzbt0GgHpkoDq0wqVIrsEBXd+FjEd5TlOkTEWkUdRW0jVuxvuhZ75t0EZR5fcCi7hH7eZtYyfwyhcWXujpiMv0QqVn2klikrUtbJVGUdKlMUebg6ZI2n8Y0i/neUKiXO+MRcrLwgNwODFvQ7LlkAqwixmlU02fFPpZ3SOFfKxrU2dt5QEu+tzb14v6AYg/Z8KJMpfKWkBAaRS/BVfRLXbXoRC7yZhaZKhNVNl3USFX6HiJ5aTRWyclIoiGI2pCmt26MxqLLG2mvEey95JyQTrNTVwyBlnYg7VHBrJs14pqCMC+9z/OZKJRAabjmRnLjdm9gNmKTwsbHX0NL6fXbjD4V4J9Psph+hrPQKGA38/hbO8px4Pe/neC2mxPYHAGpBHtgOPP0Z4L0/H/Q500IydvduphaRWqjQqmA/r+6gpSHWFq/hW3VzQQh5pWZ54vF1Pzweryz5EzZXPYuGYv44pGo2riph6k79cn5MlJoKqI0JKKlTJK2E08EVSJ09CmtBkUxOqDxEiA/kGuglOB283KHXlcqlLr+f+xTo2nFc1MCIouQfsV/agLH6p5BWxTHS+BDi9UNIKaNIagLQVVvlhZMQKg5DP8uByAF+b+uwlcApyImuthYKvZ6ZYvu+cCuCb7yJn+9uxa+7h1mQmASpBEznl2dkC+u+0moLYTTmhmyGvJycGG02pnDStZRf83XMn/cHVFV9asrXrh7k71HEzol01G1Av0iHjQeEcsLMwil0hmMYEqVT8p6NirXdFI0gACNQMTU5efbZZ1mzyf79fKzKRISFcmIw8FIdZQZ5X+lmc8sod8iwsED4RMvktmPpGAf7erFv/+04cOB/MebakENOnM7joVbbWcpsINCS0/5PJuPhX3EP5Icivp4IylSzdT7ICbKNq9fig4Zhf4T5TNQKBexZ60VV52K2uFblmXD3tctw19VLmYy+tIpLi5Ip9vQ5hy7LUDjUlY1XyiTlH82cOZeYD01OftwxiOdHxZwVBfD3kyxoL9HklAbOyLdirlmfY3KVJGU2kyaWxHCXH/3Cg0C7GkqBJYe9ZGrT1zugKSmB85qr+e/94heytBxYtw7pIF9gE2OZhSfalalb67IIGn1mVAJBdxSBrFICcadNG/jvJNRGeEaFNC2MmiYxH4RQMdcJvegWItgLDTBatVh6VjUMZq1MTkb8USz8zitY/aN1bCT70NYh+F7qQkWIL75nDsZhe6FbTr2dDsU2PR751HH49ZWLsKB8slE7HAoiP8TLFR6DEc/tG8LXWkS7qTcOZX8Iqp1uhF2Z45PnsEOXiOd4w1jGwoR2YrrBBd7ph+vBZkAYFpPCPyCXdaZQTuh8JFDUNzsWvggrN0rdcDFBTNnxFu+D3LklYDmB32TDe1zML+J5tn3GU47Jt8DmSxUbYV5TlhPYN9HQKuVUBAL7EY0OiS4TJYwGfg+jjgxpwquUdyLduM0WrgpNAj3Pzjf45zUi32LrX6ZVT+h1uZ9sYwoSPVci5MVfXiaXLw8Gs5mXo/2+TKQ7QaPUYHkRLznNzePlnWzMP5EvUgFPPXQWacKkA2rwrxuccZhsdoQFOdGKegVleEwFh2MlFsy/E4sX3w+bdeGkUgCVbwtums88NLQoxip6ELUIwqdMorf+DrSd9AW0n/BFJGpGWKt0SpFi4ZiDdl6KiTZLykkJnIL0KtRq6Bsb5VBFQruWn39PDLvlTCFSj6WZT+6xTXJOyUTyJyknVNJ5ecyLq3d14BttoygsPBOqadRkVVeuojCgqcHrokxqVFRBpTIikfAhGGzFO57MuU8kpT/Kn58xGsaQtgbI42XEbCQSCXSL6cb9WYnWUyon+gqmPg7d8R5LZyZYz6pmLc50vQ8PkxKlhMezGRFDLyuNh61EOvi52dr6fVa2pGuBYDLWwmrlqb+DQ0/Ify+0jd9ztOJ+/i8nJ16vF5/+9KePmlhs374df/rTn/BBRc3C3GFuHyS/yWyLgSWtJhRxjJi7gYQSHaJ2fmpTEc6Yy3fyx9VyuU6nVuKb583BVStyHdtTgco631j1DXx1xVfZ/4Px4Iw6dYLJJH7fy5/DWe8HYY2mEaeaBYD/rSvFWocZRpUSX6gsypkFMcekZy2XhIE2L0a7/XyUdwoIkCMzxScjR8TY9uzdU95NN7GgtGhrG/yvv86GagU3b0ZKIifC9EWQTHVD8RRiqTRCVDoQdXqTaG2m0k4OstYNqa2SMlsIRlvmpqRSKdGwjBM/uq9Zhe9FAhnriq18MaR0yQFvBH/Z0I7hJ3mXQXVvCNpOP24YTrHpvTPJ9qDy3IWLMgPDsrF3717YQvy1+Exq/KZ/lLUqF2vVSG0ZhXaPG2tHE5j/Sj9Cu3mpzW7nC002OZGmnfYKYkkqw8gfdsDzbAdTsZSxJFtE1cV8B53xnEy+YVcI5WTQG8ZLewax4ofr8LvX2zLzkEbDzKiX3alDi5a6SJStqFX2hDJoydiZSjO/SOCdASRnGEseF2ZlUmropiwlh9J8F8nX5Pbw7ovysqvZ4kGStVTSod2ntBBpNHlimF+atRVn+08kVWUSxjsAby/JEsBFfwLosUb3A4OZgXWRNg/bfRLonKcPUgrJvGmYl8/I2kwgeT28Pp5Sm40vLPkCLm64GNfMuWbS9yjPpLSBsnRs0DvFVPLxJBJB/h4ZnEkWoiYpJ3o1vyckhqZXsgoKzmBkzmzhpRb/BBOlusKMt2u68FBgPTZs+Cb7mkNxInTaEsRT40irI0irYujT/ZG9Z30Lx/DK0APweVzsepdGTXTaqKyjy5n/k41+MUWeqoN39mR8Rmw4IJ33vs0yOZmIkCAnZPptF8ND33b7ea7R40+g/cyz0HXVxzD805/KmyRFc4ZwEIIBO2JioF9J/SxYrYswgiJ0unbIJR1JJJQSmk2xCN5SrEJ6CqWMJggTQSGMiDliEyG1ulNZhxQTIrpvGprxcvE+qGrNLJiRHiMeM8vlqf7+f8B2Xi3C9pYcM/jefV9in2s0DvZRVXmT+Pm/IxBsZZlUUtqzYVFul+S/jJxQ6YbKNDfeeOMRpb4SqfnqV7+KdevW4ctf5hG6/8XU2DvgxV/e7mSyfHanToMo6YwbB6Eo5jdnf9YOUMIFi0rxs8sW4uVbT8DH19SwfJGZYlXpKhYWJeFQZZ2BSJxdWIYUsLwtilujBqZQ0FTLz1YW4tFF9WheMw9LbCacJcgJPZvZZgPKZtnZok4BZlK0PaFbxO9T6YMtWGqFXHeWUlwdl1/GPvc8+ig8jz1OzkRAhCdlk5OYICc9sRRe8yew3pdALIucEIZFy6Kj2Ci3A9tE2i6RJimWnv2OUAskNK0uYb+TX2GRTYbZ+MPVS/A/5zbhyc+sxh8+tgQ3qAzISwJ+rRL3eQPI6wujspYTr4npuIcL8nfRjU2dSCKlVGCPlqtQ15itUCTTuBga/AgGFIRTCG4ezCEnfppZJG560rDFMdFV5X25C/H+AKv/W06pwJhVh+2hJEzFQvk6SFkn36xjIXF0Kv9+PfefrT8wwko8UudGcPNQjhmWvi7F3pPCQh6L/E/MQ8HN8xFu2Ad/wbYp25CngnRMR7Q+dv9a/9YG1uXCvueOss4GaeGkBcps4jvv4eFn2b8mUyYIsbOzEypVidyxQ9J8ZiGYJrOkg0vjqFgBWEuA2efy/+98kD+HsTDG7tnNyjhUs5du9IyQidLXTEHdJgSfL0N8JFBI43dWfwd5hqlnoCw6nW9g9A5+PoTG0tj5Al+4NeYwUqlEhpwYyw9a1skGGUcJZBom70n2sSQy7fP1wGzhC6Kl4mosWvQXVFd9GnMbfgOFQgtvaAt6e5/Hupa98JdXIeim+Tn8570WJwLUbSfKOtkdO4TkuefBb8rs5v8x6MKoKKNQlx+VjvyxPZP8JtFQCJ6hwRxyMiJ+j6LcO8JRjD/wAIukD2/bhvF7/gLfCy8iFQ5DMRRAPJp5PjWbM+pGIZnrzavwFfwSH+mswevjuURmqyAn1mgQQ1EDWsTrJAWv+cA3sXfvl9DR8SNotKEpyYk/0Ix43CMrJ3ptORJjIcSRREu6H72eQXbMqaQjrekV5ZysDg09CU29BtFyrgSaPPxcoiGO7BiIkheVdoh40nvZ2vJ9ZqBNBePsmiJl+99W1qEXQ23CxBypS4eUFKp9ZRths8nIjh07GJG5/PLLceqpp+LKK6/8LzGZAb759F5897l9WNfMTz6p26M0zQ2SLlM/qoRR0z8+2bRIwVeXLi2Xh88dDkgCPq3ytBmTE0mKtEc5kTq12I7WtfPx41kZk65WhI/NNxvw1Zpi/KChDFa1CjqjRm513Pd2RiLuEwFk0mKlq7FBqc2YQ9nfu5Qb04JvvQ3Xn3kN37h4Vs78DdoZS2FtrkQaBfV20PIbEaTEpMrkkhCIYJxyXRPzjCw/l++EpbTMqco6BHr+l31tOc75dGbIWTaWVDpw49paNAyEsXzzGD6a4gvjT2IB0COSCqITKgGpCFQ+cT3UzAjB4YBa92m6KL0yZ0AsAuk0vlpVDP14DHOhwhdhgEq4fyhLwhWIsuAntVrNrmlJFc2XyEmMkxUpldN5+SzYzqhGq0KB3ngaljw94skUxkOxacs6RIwl34mUVHxgyM9KO9RxQvC+2MlMq9L7rbbrWBs/qQeU48EeR6dGNL8XPTV3YGDh7xDqm1rSnghpynVnaACxWAxvvfUW9ur7ZRLr8W4RhtYa6HRF8k6ffAEEk5GTEyJu//jHP9DfH5cVE5K7SWWhDg69fmo1Sy7p1AqT9sKP8n93Pwr0bkHkwDDcCMAXCiC83yWbfg30+g8TEjmhUhPJ8YcDMm+TZ0pr5gtXzK/FwL4+pOIKKJSchEUinIwY7fyYxLOm7k4Ho7GKmXWpc4d24hIOiLLL/PnjUCrT8HoL8eILe6DVVqOu7ssorjgXlRV8YnFn189Z/lLSaIHX7UZElHR67PyYl4gMIIJp7VrWbWe//HL4rr2efS3fM44FJh3rLvt75zaMjLzEyEnY3o40EtDpSmTzaDKRwMPf+gru/eKnWOYLew02IicZQ+1WdwCxDr6IW87gsfmuP/2RDQv1WSwIhh0YQSGSSS2q3+/FvFiMbQLq6+sxoluMuEKHYFoLbyLJNnJShlJLkG8050c5KXnjjTfYdTk49BRTKoaGn0Iy9QrKy/fJ1YyIMMuRyfa9987Dtu0fk0mkOlTAFOiAPrNGbNmyhSVGEyhiwOFYzbpwaPRCT++9CKuF+XXXNagv/F9GRCyWuagQ7wWhof5rjDiOu99Gb/P9/BgtKWRJ3f92zwl5SahFmILWXnnlFZx22mkspp5mkEgf5DWhnyO5+Cc/+Qk7KIsWcdnxv8gF3fjI3ERJnQQpr2SryCrpFOTELORvl7EfTVX8BhFwz3zq5kxxZvWZh6WcsOfm48+NWmGJjExl3qOv3VpdjI+XZ268ZSLbJCFSa81OHSJpIJYlZetnTe6e0lZVwbhyJVuAk+PjLHjNdj434lG7aDqeRFSQDn8yjVgaKJ/N/5ZP/C1ZORE/Z7brMHtVCfOMFIqSE4XEkYIllXUmKicSQTGLFsmpQGURz1PtbOEhY+4biGMDo0m8C0eO7h8NIdbrY+2U/vW9M87iIAwNDbEsExrDvrw3Cac/Cef741iRUmN3nxengROOjcok4lTgCCdw7vfX4eW9Q2zTId3sCPka/rM0ayecSMrmUald2yfUOmu+Hq5AjNknyHDtME5dfpB8JxLC8SQbXmheWwaz6JxwP9mKiJjsrLLpmOmx7AfHywZWukm3tv2QP4AyBZ/r0EFQVCaUchvc0cwu9Z3Abgwq3Px9cXN1QDJuSr4NCTTYjiBJ4eEQJ9PhULccxkZZEjRUTUYiBvzxBOCX84E2Ma29Rsw3qTsFMBUCIRdwz2lwvfIQntJuwQvabfC80Mn8MVTG0ZQc/saCcjYkBWcq9eRgIKMqkXKpU0eZJoVFgYhXlD88m9lQO+bBKZw1Y3JC0ekWyQsjTLH0XpIqQNHpZgtfKN3ji9mO/u2335Z/prLqU6wDKZHogU7H74neWBwREb52wMjLCBL5JdDoiYY3NsD6xVvxopjubgx6sLqTE5pH+7uxe8/nELeOI2IVRmnbEvl+tePl5zHa08XSb6VZQwaLDcPRTLTB5qFRPhhUq0XJd7/DhodSiXnwf/4XfRXleC95HP6f4k68oLsJpd/+Li7+n//BrbfeykIRXQq+aVOn+eOtsVvk+WFSNXl1bDs0Gg0r4dCGwz3Ou4lUKv56rdZR+fmSekKzs3bvokyZtFCo4uy4qVz8HAraMl009Ji7d++WZ/zQ40ilms7O3yKNJDSJAmgi+cjzn8G8QyuWP4OiwnPkxyAiV1d7K/u83/pHRCzdMInRKB8YQyypIXfddRfa2trYiUXj2aV/XS4XIyRUwpnKFPtfZEAny8MPP8xKXrQTdQU5093e48khJyk3v9Gm8yKoFvH2gcMYCT5TLC9ezmZu2HV2VNumqaUL9AnlxOJPsgAy2n0dDiRyIt0g55/IX9dwFrmRwtkmwn4ZL+0QnNdfD22FnS1sdIOPtHtlv4krkYJWr2Ltv4QxqUQjyElcRM+bslI87YVG1spLpMk9FGTdOgQyvB4upOdBpszCzy3CpvmcDDSVWDG31AaNKCFRGiqbLSNA3oqZQlIvq6qqcNIo8NkXvHAM86TgPX1enChGuh8o1MqJrbOgwlutY5N8J6RqacTxH/NHWUsngSbKknE5IrosLE69XNLJN2unLR9OJCeE5kEf3mlz4c50BJpZdnZnlhQvqdzDOoHG1mHr1kvZgiIZVwmhcOshc0+oJMhC3lQKuLyc6Euvdbj6eeyKX8UCuAgOQU4s5kxZgGAUZR1pNlE4bJGVEymMTTLKyhjaxT0l3h6SIACtGSjjZltQjsX5vwaq1zL/SRcN4CSzpzKMoNsv+6uONLQt4zs5PHJCqFtcCEc5fw6zlvHyU9Sjk6cus+emL4O2lBuUEwMzOz8lo/GQKJUNDw8zIlxc0o1Uyse6epYt4wvkvn37WGjj9Xs6sXhzD0I6Tmz0ev684lojAl1cgek25bOSaokt9/zyjgzjoW9+BXuGeLqt3etC3a6HoUAK7YpZGEEBwsZWRK28JDfWJjoEfV42YXkiDCYzRrOVE1F+0dbUQGW3w3EVn1hPgwh7KyrwnpqfS3tUS+C44nIWqy+hP86vwxOwHg81mfDbOZVyWrSEGpMO8+dzJZaSnYeGechfayu/N5rNbtTU8Pdg27ZteP31ZxGJ5g73pLbnxDC/NoPGyWGKCxYsQKlQ34uLL4KRKYT8vmBRcgUu+140EZWVN8FhXMs6rIYW/injEfsgd+tIu7D/YmrsHt2Nh5ofYoO4JBCRk9zXdLOXjPy7+jyIJpLoHQ9DR+dNkL9VsxuqYRXtcEFfTJ7fcaxAoWwPnPMAnv7I0zBpDr6D6xfKiTWUgqPENKXv4mCgicXSopZXZmKJsgRqKaZMBBbNnTVtORuWM05nAxM15eVMxqUbOk1jllJmpYCnsUQa1gKDPGtkXCyu1K2TDVJOsomS3E3U7T+ocjJTcqJrdDIfwe1nN+HU2YX43/N4h4eKVBcyESfS3AwpQCmZ082XcY2/zUbTT0VOqD2UYEgDD77XA4s3ikK6zLVKqOtsaBWJrUROKA9nIjmh4yiVdoaFiqe0aKDQqBD2iYGLaiW0Bso4kdJhp1eOyrN2tnajBiVKH7a++gS+/chG/PGtTryZn+l4Yo9NU6YFerr/DK9vO0ZHX2L/16g5UY3oe6f16NCMEFIh4oLsKJw6jLs5OZkzZw7U6ih0tRsQVVHXTYAFhzkcPODLbCZVIEMMTCJbI0NOuKIWCByQyxST/CbUMkxw1ABF84A1t9K44Mz3Z58DXP8cEuXnYoASVwU8Ink02/x9uMj4TiabYg8FKlFJnRlzj78ItsIiRDx84fT5eYmjpPgiOfsn6fUiNWGg5FQoK6NSloL5F8hEyb0UaVRV8Vbt8vJr0NjYxAIDx8bG8NPmLrw85oMrnsBeFR/opzfwhTJpNMPXxzvQ+k0FLJVYK+45bGzG+5vx0Le+As/wIAKFXJVzeMeQN3sX5qS5v+RdHI+QpoXt+Al94j7x3lOPIBoKoqCyGip1lhLW0SF7TgitaSUCegN0Ykq687procrLQ7CoCG6HA51Gfj70ppyTuspoLAShACOYrx2GU6NGmRgCKqG4oBLLl/Puqv37d0Oh4O/J2GgV4jEdlMokios5WSLrRGFhB5TKFHS6OvlcJHUjPszfG5+KX6NS1AeVcUlYkECqX13dF+X/2528LT4mEnSnAgX21aT5aJqosZ8lAv8z8E9pJaaD9l9Mxm1v3oYfbP4BTn/sdHxr47dYLZUkY8Lo6CgGPZkbLrUPP7tzELFkCqXgBgmfzoWVVcthMGs4EUhnzJrHEmSKdeoPfZMcEMqJLZRC/gzaHSeCEmSloWhFNTY4S81Q61QIRpPQXTsHBZ9cMO0uUqnVouaZp1H7/HNQmTmJksgJtbex4XEGNQbjadjyDay9l0AJ75TNQkMB9VkPna2cSF0MkmE2LJJXTVndOjMFBchJ3hkp3fWe65djdV1+Zq6QIJtS7gcFUyGRYl6MiaC0zV27bmaBYeQtIL+J1F5INyBbPl/cKxIqlih7klBNDLOdOHdxGQbFi26AEm1TkBNCnijtjIgWYCnZk2L52WMRWVEoMOKbvlNHgiS709t49cpKrFR3I+kbRVmEL+6/OzAIbV1mU0OeEwIZTqUW1MLCc1BSchnq6m9j/4+a+xDLGn0gH5tgnJWIAm/2sdIYIWTn3UVarZaRt6KidihVCehCFVgw/49YtuxJ6HS81EjdOpL5j0LI1Gp+TkvXaCDgRCqpQzw+juGRF6ZWTgbEvW/+ZcCn3wFO4M95ImLq5RhSZo65Rxnk5u+jmOdlFcPnqKwz03ZrCdQiTTcU8ojoDcW44ts/wZLTuG+DoFTqUF5+NQstlOZRkc/iUKDjWVBwOvu8p+du5jex2Yah0Qyzv1VaegUbUEnvzbDFjt8OZY5JC3g7rV7Pj39Kb4RblL/7zQUoFaocvdYXf/dzPHXH9xAYd8FZVoHULG7GdXhd0BTGsAo8CfZdrIY3uRVxE1dWXJ0RhAN+dIsy0KpLrkR5NSceBP/bm1iJU7ouqItmf009tPX8Z2jQaN3zz0F5x08wbrIiIiYxexOpHMWFQN1zhAIMy96QMtFqzF5nMgpHyTyUlJSgoqICBoOHEY9UyoCamqXw+/k9w2qVNjFpFJfwMpdWexoaZ32HdZRFI024q/MJDCjd8KWCslpC/s9rrrlmkohQkH8GnM61UKlMKKo5U263P+jwzWENVBF+rtJAzA8cOSF57vXXRV01C3SyUGrsVN/7v4pEKiHHw6fSKTzR+gR+t+N38q6MymHdA7kO7B++wIN2Vjg1st9kRfEKtqBJi+k/w3dyMFDL21cO9MKXSMrKCZGTvKzo9sPBglMqWImAOl9IRZE6ZfzeGMskOBiIoChFFxNBX2vPychwFRqZWEltvgYrP4Z0yw4JscmiUsAhjFzZygmB0loJbIhhmps7iRQeDmi0PfM90FyZg0y4pimr2bCezhc8qXsjG9HoINvlUm05EGzJ8ZuQyW2WGOQ1N6YCbczP1nJiQW2plI/y9Rv4zqgRKjbpWCmGjWWTE8l3MibSX6UW3LDIYjGIVsxhQU5o6vV0WFhhh1qpwNqGAsw2hWFX8vO1UumBDnHmseqot+QmiIpWRjLq0ayWuXN+iTlNP5bLFjFzP6J9k3d2YWqtF+FtUvy5zyBKT/n5cDhsKCnlZkx716nId54ieyIkmM1NOWZYgnSNptMqjLtL5fdhyjZiSTkpXYyDwR0qh1cZyiEnxvkFk8zfhwOLmRQIIk/uHAPqTBAOi0wcQzkjnpa8fFQ0ZNKWKR1Vq+XdPpQ3NNOOHUJVJQ/jHBp6Gi5XC0rL+H2tpOQiNsmZ0NjYiK3VTaB4xCpR6tgX514GgyjrEMYK85EwmuDTGuWSoXtwANvfexcxnQHLL7wUV33/Z+gWwyIL40NQatJYnniXOa+6FbV4MD6PfU8VdiAZUWPgwH64envk8SVVBRmvnbufv0a9UoGTxDiJfbWzoKvNEBgq7wyMjqLfnmtkbqFp41OQk0KMICKOd2mWclIcG4WinMdZLF++HGZhULZa5+Lyy6/ArEZOHNRqTrwtljGYTF4kkyqEQwuQl7cWJ56wA/v3FSKBJFpVA/CGRDeiw8GUQyKBE0Hv98IFd2Ptmi0wOipltZqyjWgwY2DT5BIetfVrwpwshT+I5IQ8JmSIJRMsHcyvfe1rWL9+PYu1p9TYDuFq/i8Ad8TNsxYUKvxwDTf33b37bgyMZ974waFhKA3d0DjIGJbgi4duCIjyHaQiPya3A1qcumk7dqYCDZe6q2fksHdUE/GzriHcN+DCX/pGZeXEeoTKCaF+aSGu/eFqOffELi4Mr+i0OBwQMdHRICt2AzVhQCxUVNbRG2m3z38uKPwKy00qnGBRo0qrmOQnqZ6fz0oXUimDpstK6bCH7zcxyXNQpoJkNmWf5+lhWlrICA11ykjhZASKoB56ku8A2esItMhhTLTTouuQSmP0WgxpBX5VUghnLM2Oi76Rq0rMbEntz1DCCQW8CW2OIZYglXVGRSdORjmZQE7E0L8ikecyFeoKzFj/5ZNYK/V4VybvoqigC7ct+Su0qiju6hplU8BNV1jx9jur0d7xC/j9e7IWXLW8C1dAhZQmjODQ5I6moAiEyoaHDcPj5CSV3g2DIYB4XAvNwFL8sXUQ32nrl68J6iIaCPOFS6ETPpEs5YQwNprbmZNT1omFeI7JDMhJz3jubJpwrQaOSyYHbx0OqERFWRoE3ok0c2SSRTO5SHS8SU0iY2tlxcflr8vkZJogtomw2RYz0zER6qamDcjL44tZRfl18s+U1tXLi/sdtZyUdMYNCMLIyjomDSdtw6XlcBWUoVE9ikL3boTDYfT3dOOej96Kez96Kxov+Rh8ai0CyRQr0FVY+HltGwnh8haeYvqI4mq8hHNh8FdDrdBg74bXmFJncjhhceajhAylyRTUyRSCRk5ICtJJzBOZKp0l5dAJ5STbbNrvyCUnrSIfhRBNpTAojLX5RE6YUpWrnBTHxoFCTo7nzp2LWbP4deV08DlZ5WU8JDQaa2aEQlJNxsaqMD4uhvrFkxgUfqABlQce0RJNTSsHA11jUqaPtpLfi/2vU/k0zLoHaeCnBLpeyLBPxllCRLQvf6DICZGPRx99lHXtUB2L2pToX7pJNjQ04NVXeQz6fwGMhbkUR+WS8+vOx3Vz+IU5Lsx6hM7hHTBW/RH64uegzXsLCs0YzDV3wuDjJ8tZyzI7GYtYMGainFAZ43P7u/Ht9gHsChz+op+NdrEbeHHMiwgt8uk0rOEjV04mgogEgYYCHtHvn1IBXYOd3eh9Ii2WyjpELKREV4mcSMbPYoOaRcdng4jJPJGeOTGA7UhLOtNBnaWcUGAYZXtIKarRVl7PJQOob10vwq5MfHogeIDV6QkFBfzGSK9j9nHFMCmBhcOis+aMKijFrB7amUtkiHwnwxGlTE5IvSPkSe3E4maqduaWdYzCvzPsPTQ5kUpZsaAPHW38Zro3UYSa2vdRk78b8/P3Y8OBUYRrrXDr3kIsNoLe3nvlab8WKycL7LkrtTDoedklGDyAVDQjm8cGgyyPhQyw2qzj7YnzXXdenhM9Pb/nz3uoHm5FCt8bHMWdvaMsu4KC4s745Rv45OOl+O6mL+PBfWsmKScEHvvNj8+kNuKh3fRGAeZinmsyDSjTpD/I39fCNL/+x9yuQyqFM4HdtnTSgLmZQNrJZ78elUqPxYv+hiWL/5FTvpKmdbsfemhGXTuEptk/gEJhgNkyzjYJVEbIzpHZnlYhpVTCFvLDMdyPGjFGoQ2zWFmnqoAvhJ7CIryxchGO03QjNdqJ5uZm7BwaRshghk9vYqM02gQpID9HQbkwvrvUKHv9CZzvfZz9/2F8DEpfDfQqE/OqEIrrODlUDg3juLZ+nGQrgsfKSxfWtjbY/vRH9nlPCQUDZkgcdXINDo9gwMY3jhQ+md0eTCCVme46ekUKVvhktcGiVsGm4NddCY0OEP4klUoFm110EooWd8lTFIn0YP78YhQW8nvB0GAD8y7S0NR9334VsQS/ToOIsLIvPZZFlOJmAhZ6mAWKvg9ljY+gtn8yymsi/J4jpQcfaxzV1UBhOjR9mAgJhRwRSaGD8fLLLzP1hLpQ/otcciIpH5TamK/PhyaRkfU8gT1QKHjNQZu3AYbSR6FIx5EX5jeDZXMyeRpmsWDMRDmhGHmfMM7uFeTk6RE3WrMunmw8PDiO33Tzmmw24qm0bOra6eePY46kodOoZMPp0UIq6/iOQDkhkOm04BPzoSk1y+REIjzSjt8vNgHUGUBwTHMVLDylAipRJpqYcXI4yolWqELTQerYYT8rSImkANENh0AGz3QsibiBG6gl5UQiJ9KgP8Ls40qwyKhircvqKivMx+fu9jVC5aL8kw5PkrUu0m6IckByyjqJZE5ZJzStcnJw4kYhb5QTQgjr89GpMkOv5wv+PAs/z6i92OvlO9tkMoTBIb6IWCwZckIwW0VEualfbhdnz+19/jiGJiesJ/NuBoIryMtVJtM2+P27kUrp0Nc3BwdMSWENBptz8pMXm9E+GoRaqUS3vxIHBLHLJid0nCi/gmjdlG3EMyjpkLds3cuvoUvFVZ6l4B4Vypmh8tzRQpqO7DlcchLlu+2JmS3UbWOfMMzPfsWVLAwxum8/Oi+9bMbeE6XiWvn/FRUZPwuBTLCEatcQCxRcZuPlxr1YgKc1F8NVWwN9XztUsRjSWQomkepWd0b1e9MdwCf28JIWtema8vm77A1zwnpSx0uwpL2IKXToTs2FXmVmrcOE4lpOTuJ9fbBGYqj+yCXAZz7LvuYM+FC8YR37vK+wBEl15n5HHUiDJgviag3sahUuKuTXbvb9tSfC39sKnYIpOpLnhFCW4OdosT5zH0inU/LEa6mLjEpgkieqrOxpKJUJ6LTV8PkKGDnxvd6DUcXkcieVdEh5mSlY6CXNazNrYDmJdwn53xmQO+SkmAO9uuyDq5xMN3WYSj00mfhI0mT/U+GKuHLIiUalwaU1l0KZ9RZYY1bEvYtRaqiHQhWFytiNwlgllCkVa4e1itkgBLPkOZlBO/HuQKa23RyIsOjkT+7txlW7OuQFWkIkmcKXD/Tihx2DkybT0gUmzWOTQH4T8owcafvjtMrJEZITCdRhQ51MpJhIJTDJM0KJsbGlRdhu0LJFWZfmQ+Imgsojc44vlduLDweUtSI55g/mN5lY1pGi3SnrQ4o3p5uC5J6P6zNKG3lOxsZ4t4HTkmm5NqXSyFMDSSQQXlQ4qRwlpTmugRqtowF2vRI2bNjAsiakso5LtBdOW9aRPSfTKyfkZbn33nsZiaLd26oTT8Py8sxiVq3pRr4igEFPWCYnBBrIRrBacgPuzGZOTmLmPjaDSYL0OQWYkamUZulYTq+Ea9zFOnQCQR4YFdnUx4QAALAaSURBVIudhXjcgFZz5phsHvLiqR18cf7JJQvYv+0jAbncI5V1pI4Hv3+WXHLKwSAnGmPWJjk8kUDGYyoZER5//HG8vWUjAooIT0tWtMOkFa3bgmgeDaiEQrd1itiPRidvMKaDnACr5+f7waBvnIXqxx9j7bRJWhSf5+bgQ2F8vB7tbcugVF6APOcJOZuedS5BTsYG2bqy1MKvt+cVF+JJxWX4laYQar8Hxo498I4osDtRLJOTTuF9y1Ok5SRXOqLnFNihNvH3zis6j8IjBjSCl972qatgEKbnbOUkJjqCNOVl8JRxoltWV4Oi8THoYlHE1Wp5k0ZgmSRO/nzWOiyYbeLXQ2uW56RHjIOoNPDv0XuTSsWBXY+iws2fT1lBhlQPDT0pPFc6NvVaQnn5tbJqSigtu4J1Q1F5y9flwqiSH0dlVtcZkZPDgaaAYg8Wo+gLS2A5pZLNIqKREeG9/PyUwi0N5ooPrnIiJcXSzmgi/ttWPLVyQmqJhNOK+aKQEouAOW5BbOBiXFnH2Trhsnw+6I7KJtmLDBGCmZZ19giVg9AcDGOjJyAbtGjaZjb2ByPy9GBpcJ+EjqwaqgRrMCk/l2MBKsEQfGMUmy28AIkUWrcOIyaC6OTnunEAO9f1yj+XDd8Yv4CImEglG73o2KGjrVtYwBQBnzDHTtfXv/qSOpxybROWnDVNRPk0YBdwips8lYfIR1Hq1SxlUVdnk2PL6V+KjKfANBqQJxk8E/qMcpJIeBEO84U+/dSAHJgW3DKE/sW/QvsJX8Koe/ICRV1NNKSxASr4hoJYuXIllhzHF4tXX1sHo5CF3RraPvFgtJxuHauGZfJIhtnpyAl50oiY0L/UFfTxj38cFx03G//vxMw5q9cGcYq2DaPjB1gXTHYrL5lhKcEyG2bTLLljJ9ouBk4mU4iLJFt23JQK2M+rhXKFk6kRRUUdSCZ9MJlmwWw6n/1clzljPH2mlasY5y8sxXkLS9iEb380wYY2ZisntbV8kejprsTcOb9AQ8M3cl9wPydX//ueBhf+/h34InE8sa0Pp/3iDdz26E52HMjATER+abwWF+rrYUMA+droMSMnarVFJk1d3Xdh27aPweV685C/J3kgpk27nQAttfBfegn7PLxDKEZ7Hgda+VyiqUCvb2CgCUWFN7F2VIqTP2trC07Z0swSU/M0KpSFfIwM1gtyKsGbUiJicbKymSschzvF7xMetxsDCk6mrym04pGFdXh0YR32rpmH60qdSKvFhHO3GJcwZMSsJCcDO61mmPWZhbuorgHpWIzNDdI2nodol05uI66YNxe2005DxfDgJOLByQn3yZyWZ0W9ICfDsQRrHMg2w1YZzaw8STeHaM/rwNOfxRd6HsDVqU5cNIdnpHR1/xH79n9FNiJnq3MV5ddi6ZKHmbeIzueK8stZwBs7RooQXEZ+HcxbMP+IyQmBhk1Ski6VgU2reInS+2IX33QJ5cTorJG7dY7Wy3jMyQmVdKh8Qw7gK664Ak8++aScuUDtxFJU7r8Cd9xxBxsqSB/0+ZFgOGuK7bGGK5yrnBCkkk5AE0BcGWds16qI46Sq4/CZRZ/BZbMuQ1OaG9wmGk4PVdZ5x+1n8ub+QBi7c8hJBO/7Mru6e/tyb4h7slQWSYqU0DlBSZGVkyxF52hBr4sC3VI0CVcQry3PdeKVu/fi3SczSh2Fgb1+fzPefrQVz/1uJ1wDAfbz0kXiFROFpTIRIbv0RLt/e7ERblHuioo23olQa1Ssk0jKD5kpYoOcAGpKTTNSlZyXN6LgpgWy74DioPX1XIqm6cwSecou6xCMJg+0aTU04ymM3rUT0W4f/Ls6ESzYhbTeC7ebT17NhsqkgUbUleeE0sxvcVezBkMpCxRIY6CZG1fHtQqWOyJFU2crJ0RM6FBTJ45zinRY8q/cd999bGebl5eHG264Qb5JUty2BK0+DKMijoiXD+Cz2ZbCIDpgqHMmp2xCf1t4H+g4xAcCbEwB64hKpqHQqeQQN6mEwo5tHj92RUXnwenkm4P+rPdTG0ngSoUWXz5jFrQKJc63mFAEBVc8kkk5vblOZFuMj7vhcJwFvT7LVxIYAcb4bvbdWA0b9vjktn786U3eFPDE9n48/xZ/3eWWIixO1qCqiC9oBemxnOd7tLDZue+kr+8+Ntiwt++vB/152sFHo5ygUSjaTGFYzMtXoe07kN79GPDYx4GHPwbEJ6uedF1OLEG+OubDDn9INo6S0lEjdZP09aBamYY96UZZmpcN3FaekmpLjZMpjH9tfBxuKz+vGp0OnOC0YK3TwjJEKHI/jShSSSDqo6BAJXTuFPSvcqK/066GKcqvN2MyjciLLyFOZlK1AbqmCxDc7MKwMIUX6TQo+8XP0VRVPslP0jw8gjGLndHqU/IsLMiwWKvJKe1ISkulXgedOMbhXfcAySiWFFfiZydfwLxesdgY2tt/Knc5Nc769qRjSWW25csex6qVL0KjscPp4GZXtzKAMTG64LjjeHbPTMywh4LlxAqobFqmntDUbErhJpiKiZwoWfcgPe9jjaN2YN18880szp52BURW6AImA85ll12GT37yk/hXQCIj9FzoY8mSJUf0t3e9/s9picpRTgwZ5USSi/VGPZx5nLTYFWFWw//0wk/jm8d9E+N9ottAeBEmlnVitLMO5yoKTw67ceXODjw/6sWPOgaxO8sES3Mi3vVkyMkGt182uRKyiYw0mVZCh/j/IiG5Sp06UtnkWIBadqUJv+Q7SSZT2CfSUjt2jsnkY5iUBEHWe/eN46Hvvoe/fW0j3n2qXVZe2PPLKplI5QipZLP83BqUrC45ZOjQkSA+IHwKpUduFJZmrFBaLC3A1O2VMPCyjiHOF0qT0QNb2siyUpK+GEbv3ImwLkPiosmp00JN8/Ll0s4Zv3wT+wZ9zKhK6N7FQ7fcRE4cmWMmdS5ReWxImGEpCGuqdFgq59AHhT5df/31spJKfpKAyC8h6HT8cbTpvbKhk8K+CA77ikmPq9Py553SBNlsFPL1UFsjQVNkzFEXpeFolKop1e6lG/WwOXMOp4xqfC6tR2lSAd+r3bjNp8LjsMDxWBv8A+5MOF1+PptHNCWR6OCheB5bE9zgO9lfvNqC5qEM6d2yg0eH14jSibqIv5b8cOcxU06yfScSgsGpy+8SePknxWamSO3CMwGbAkw+nLExxB8UQV6JCDDKvRLZoHsdzTei4yi9B+1is3Oy08LmcX29tkQmgF0d7fgx/PhSz++wApy49q4uh6ksCIMhBquZX1e+QABuYUStFYpF5nW3ZJJuUwqUNsxGkT8MR48L+ngcAY0C4fJFOLvsRtSgFEPf/BZGfvFLKM2ZOPZhcc+jgZgKjUYmJ5JyQq9pe5oT6PlGHQoEKWkQnT0HxM9lyjpk6uaPERkRqcfHf4Gc7OzT8XFKe03DbJ6D+vrbmcJ0KNiEitSpH2OeT6PRyGIFymjYICPlRxcvT2Z6+wV1ORlSFMxoqHZCr+PlrGwPzQcqhI3kTurMoQNDcfb00dra+i+bp/OjH/2IkRIJVEMnBeVw0bV7TF7UjgThRBjffOebeKzlsWk9J9nkRJKLl1QsQVE+3zEUaaMwipo/LcQu6kAQZZ2JAWY6o/AGDASZcvDANzfhjw/vxaf3dculmVddPG2RNr8Smw+nUrxv38EJzwMDmd34rixykl1XJXSKHc6lxQ72eP8M5SSbUJDvpHuXSy4nUOCcdDykacIl9TaWSUJx84S290dyPCuShyXbc0KLKR07UkMqT+R103hfgA3eO1agXT1BW3r4c1IkUDYJKS9khCUoSuJIK+KgmoxxaK6snDiNdhR+ZhEMc/lNOmLLtPCrzPsnkVf22HP4zy6mgD9pbpM6D96UHqogX1BjKgWiTn781u0fQkAiJxZtxm+SNXgtG1KplyTn7E4BilanqaZc2iayQccpDZu2Td71V1V9CgsW/Ak1NZ+b9LhqtY11yRASWh/z5Eg1cEVJCvv23YaNm07Blq2Xwu1+kJkG1Wq+6JstTUy9SSoUcBuyYsUNSsZzvS91sWwHQgppWD1xuHbx/9MNn3be0o2eTJA56OATXFvNGWJA6gnhI4tKUetQw57i52xVkt8DVGUlJJEhPzWckxZ9tCjIPxWlpVeiruQT8sJBpPDQJZ3iGS2GEihjyDCHmzXDA1n3iuHJs48k4kXHnwhr9v3k1Dwrri/Lh0OjzpCTri609w0jHjFhFjjZaXY2YsuJJ+C+Kz6HhJ3/bkShREi0+9aIOTUSgiF+TiVDnCxWL16GiupaKNMp1Izw57OnyAGrNg9zGjgh9r/ySg45GY3za0MiHfVG4ScRY0b6x1zoEiWdM4URljDPzK+bdz3cu9QtVOhKvVb29URUUcCYB1Twcg5hfPxteQLwTECPbRzlN+P+JH9NFE1PJJDEAgpeOxYjZPRz8mBYwM9bw6ICFN2ymMUj6A0VOefQBzohlg7EwQ6GNP30WIHamWmHJiVdZuO116avf04FWs93bzhy9eT+fffjybYn8ettvz4s5YR2YwoDv4AK1JlUvv0bB9nCTFWBvCkWuWJyVQN46U+78cyvdsA7Esb6Ya+8G1lpM8kDpRqMeiy0ZhbqBRYjPlbKF6h1LlEySKWxP5ilnEwgJ9RyKU0YptqqJplG6XgCFrGAHSvIHTtjYVk1kawIXbv5DXxEdGpQTgpNBr7+J8ez40QdOgF3VP6+NFMnWzmREk4lMyoFf9EclsMZtncwkIFV3s2XHLlyQiqA7Zysa6lCJLbGbdC5eCsjBTUVVhSyUo3z6iY4P9aERG2mvVNn68dI7+R2T1JaqIWZJhX/5ZTZeOxTx2FRhQP7kkXQpJLQJPlNOdjAz7HvPr4Xwm/Ijt+I1KljOTg5mdjCKLW4OoUhksgDtYra9FyJsNuWsFIOLbCUsTHpmCiU0Gr4eZvUeRHZ50J8MMDiyJvtn8Pg0BMIh7vh822HVvccHA46f1LQaJzQaYtgMBgQspHnRgkDGabTaUTUCmzVj7DHovMg4NDiAfBz3+8SErZQTKYkJ3Tj6NjAPt2i5IZaXVZb8M0n1OEjNUrmZYlqLDD4+PfUeSbAUQUH+N9wu93HpHZPJkpq3a0eUUPDBl2mEQx1HHanzkxgmMsNyqExLdDIB8SlB3lGTTam6iqTlBNp+B2hsLCQnTPUntvT3oJQ2Ip6tECRTmFEUYyXLeexn+uzaECWKJ+Bvy+2dJKVU7IR8HNvicU2G3qLFY2rT0D9BRehZsSD+Qe4OvhWlR5pjRLKtAXqUk60JHJCR26MWsPZppETqgajTlZOrtrZjuMODKMrn5ON0/IzxvfT8/h1Q56+930hZtI1KJWoNeqhNwjlRKcEZp3NZy4JojHu5jlGTmemlf1gIC+a1ZcpUdKxO+WUU8RjOFnw2rEAU7yunI2S/1mJvCtnQyU69AzinPlnBLHNiJxQ3ZiMr0dLLLZv335EisbBMF3QG5GV7NTLbJBJjl5L9oeEfe8MTjJezgTjkXH8Zc9f2OeeqAfBeHDqVmJ93iRyYjabEVPzi8yi4AvQpifbsP7+Zrk1VD1FciQZNZ2lJoS8MYTErnbMwn/uOLsZ1wryITH5JlOGRNCo7jUOM1vzKcmQJm+2hSKIZplLs5UT6uLpE/+vNepwZ1MVvvisF9Zw+pgaYrPJSc++cfTs5WRk0amcoffscbGLWJomXFRtk5UkqfTVvGmAKSfkXSmjwXICdKwIeVn+HSIAUjeNVEs9WrASTDzFws+yO3GOBNRZI81bSZcLl7y1AsZEE9IpJStZ2OqH5BuIYV4eQoZWOdFUoUhjqJ/nOExleiM0ajRYVu1kQ9S6k3z3p4/xhWPIOYgde76GuMjlSKkVzIcjlXWoBEl+hbb2nyIaHT0kORkd5dlHeXknQq3m741ThHJRoJlGc2jznlaUdpKmAJLeGMKtbgzO+zNi6WEWIrZg/l1MFidUVu6WSzp0fOgjXshLeWWBKPLF4Md1VvIn8HM/cXwJ+oVJPeD1y9foRHIy6HLh+y+9jtGunYCvnw3zWx/mO/9Pn1THCMrJjQWYU2qFJcbP446oFSl/Vn5MXgNs8LHrkBbk7MC3o4a7G6YQf33BIFcRskFGWZ9/D6KScnIYfhMJhmJ+zIJjFvSvS6Dt2UI0f+lp9Hzyk0hmNUpMJCfUJdglyEmdWPAJ9P5QowX7PBVHwJ8HteJcVAf4OZ5Q8IV4qLCcmU29IuG4MisZmkD3CLeHn/eLTrgJn737H7AXFcN6+ulY7CzGxQk/G2m12Qj8apWVvfPG1VfkkBOfRiHmh2eCCeneR3+JQt5eH8+8vspEhG3aJKywmVhbMZGSb7Ty8/vsAhuMKqVc1hnN12KoslAmpKFQO5tvRKqi3Zbbvj0dApsGUZZyYkl+E84991x8/vOfl4f6HWvQvVIlmgokSMqJdA79y8kJ1Yspx+TGG288ovZgWvy/+tWvssm7NKn4XwFijeSDma4MRK9J+qB0TWlRJAm8edPkvv1ObyfOe/I83Lvn3ikf88+7/pxDSPoDmRpcNBmFnyaUTjDESmUduvH5wU9sbSKIeDSB7a/wOOUV59fg5KtzI7azfRMf+X+L2XRfKm8cf2k9XFZOTuoMOpxbYGcXCGG+xSC3uBGWWk1MRpUuqLfcfrmkI/0czYYIi7kS3ZEYu4DNKiXLwUj64tBGU6xEQump/wxyMtZLkihQMcfJYu4JQx1ejPb4mSFWqVYgP6vcRceAIB07+j+RFgnOEhM++q2VOPOm3OwMXR1fJLNbU48GtJOX0lgPN1V2KlB6av6N85EuDsjkpPTGEzHQx19HKHavLNvTzS1GMdgKFTQJnijp9U2deaEu5Mc5McLf9zK7HhFoUGgOwxjn5GN7591wjTyCk6t4xwc5PRg5zCrrtLR+H93dd6Gvn7frTkdOaGCeP7CXjXQvKjwbeh1fBJxO0bqpn/o8nwitji9wyhq+8IZtzYhZ+tisluXLnmCzXKxWPtyMQr/4v5m237SYrGsJuWGJ8GtwXK9HDAkW4FaxtBgDEjnxZ9TNieTk9o3b8DudE198X3g6KlehxcWXs7PmFWPT107FXddwc2rQwxfnaIKfr2TeVVBqcF491EjBSv3sQj05ZvAQOeHPJzSBnJAMv2PnJ7B9+7UIiQnLM2kjngiDhv9u3JOC7+09iAfVfObXG2+i+2NXIy58PxI5IXM0oT8SYxshCkKcOJmXusd0OulepcCcmk9j4W5uNmaPoebvzWhNI7xGfjxn2XODDsPhLnYtkI+GTNYSlCYTah5/DCf96Pv4bRMvpf/dmMTjFRqkUcrMsBI5GdXxa9ehVkErckJ0SiWqhdJDz/3W4DBueOd5/FgdgTLL+E5GcVKXszOhLi7ixLsgWQqLP46EWom9nvvQ1vajnJKO3bacBeDNZDxGeM8Yi6M466JzWUo7ZfH8KyERrX9GO/GMyzq0iD/yyCPsxiS1ED/xxBNyd85EMkLdOkRkqOZFIW1XXnnlv4yYEKYjJgSK2Sc1SPro7eVu8HkncIlq1/reSSPZqVTT7evGcx3PTXq8WDKGRw7wseJGNZeipTk67LmE+XPRKDWwaq1TlnW83QnmJSD5sq9rmC3K5KNYdk71QRc4KlUQQbn4y0sxZ00pXEI5sbli0KuU+GZdKRZbjLiw0IHZ5mxywp/nGuE7ecsdkDt1KOHQItpvqbRD6sX+sYAswdLuxi/aVs3UqnsMFuBsUBeNhJqF+Tj9hjlMnSHlg47L249wZSC/3CKHpBFKxdC0mNgNVwoPRjaIoFD665TkpMPL2lJnilQsCdeDzfALn4KEmGSGpaj4Y4BAZC+6kj+Xc0D0uhJENAl09cxFJGJCPD6Erq472fd8Pi5XU5uhzcrr1vE0/9pUeQbs+6INlwapnWvrRuOSx1BsFCPl43yX35jPTay+dJKFlcllHXMCY2O8fBrLUk6kczubnAwO8mC1/PyTmUKiE+SEBsGx31dkEkMPBq1GDE0sFS3PFfzvlxR/RFZekoncfBQpyIo9NztXovRhF7QRTkipPKC/phb5182BzaBFzMTPkWA4mENOKImXzv9IJILdCX7ebzSXwgsTwhVrZZ9JldMEp0kLnVrFTJOSn8SUMsvZMay0mCem24o5O8eenEytnPDZOynWjj4y+vKRlXVSKWhG34HeyRVV8ykno/LkcVSdMgZVnhPRlhaM3Xkn8yJKYxYkckfBd4Rqg5YN4cwGDQIsnZ0JstP7fThOpLguS2/GpRZ+vx6oapCVk7oskz5hXHSpUe7LdAv9RUUO/E8tV9H+Uq9DPJmG9cJPyeRkn43fWxomGG1PdFqY5+4XsytQONIPXSKO/LzJHTGnZ5V5nBoVThT3WtVoK5bt8KLWyw3vPb33oL39ZxgQ18fB/CapKI8WoHWYzbxJplmiq6SC/qtBQYT/VuUkGzfddBPrzrn00ktZIiyZT0mloA4d6YM8J/RzVFb5yU9+gi1btvzTzLFS9sBE0N+e7ns0JI2MetkfhIblRWzhIu9GtygnEPa59mFdD08HHA5Nzo0gIhJLxWBQG7C6dPUk5SQ7HTa7rTS7rJNq8UOV4DvZ/m7uEbAVGg4r3GxckUZMo4AilUZ4G3/+V5Xm4cVls1Cs0zDfyXkFNny0xIlSsVuRopbfGPcz8yxhvsWICvH9ba0uPPvbnXj1bX5DqBESrN/FF6djXdKRAs9O+lgjUzjO/tR82SsyX8TJD4p8C2kej4SSCRNdq6YgJ1OBSAQFDZHxNNY3c1k9vGsU4Z2jrMMj2ysQF23JR9Opkw2aNdPf/w+MjL4o73BpsUul1BgZ5t6Nvv6/s4nFNJGWYLUuQHE5bydUmdoR9AWmjc1PjIYYGa93x3GjlauGDhU/f3zgO9ISRxeU2iBCSuDNllG5rJOv2shaCdnrTvimVU5SqQSGhp/hj1V8sTz5l6CkCYWk8MRnZtyTyzqWIJJOHwKFnLSVl18j/8z4uAYhYYScqJy0idh7R9APq1BOKPo8ok+yzBlCsT2G1zV75MRNUpTYMVOr+Zwe2llb+PkW1BnwD9v56BbdRcVWPQxZZVhSWej8UGkNKAC/flTSFOw8TsgcqbFjS07IM+TtzyInnNBLIFVB/tFk4MiUk6FdZDZB5RkR1L/6Eir+8AeY5lbCWBhD4TVnsx+Jd/ewrikiczQZmibuEqQOweySTjYSeTUIJWgKsBbarm6s2LcTf9j5E3wOv8BS8JbsfUotRkQbcbZvhSC10DsdmZbaqXBTRQHzk4xoFXi5RA114TIoVPx+s8POz4UV1txNxg8ayrD7+Hm4rDijzkuKUDZOdlrlERm0OdRImzjfABvKWaNYgro6nmfS1X0n62Ijv1BBwRnTPl/Pk20Y+d0O+F7uQvBdvk6Y13KC8O+A2Twb8+b+Bk1NRxbf8U8xxJIactddd7HOHHqDKA9A+pdunERISCk5Fk7hg4EICPlLpvKeSMmXMwWVAEh9IFC4l4Tf7+AzOQjeqBcRapfLgqSSlJnL2Md05CQ7gI12E1JZJxBTwR5OQ5Xki8XQIN+B2sTOdqYgzwjBEUzB1z/Z3Ek7lLvn1eCXszNzIVbYTewCGorFWegaXagkR1LLG6F5mC8yPcJZL00MlZSTfwY5IcxdW8bMrtnkbO4JZZhzfCZboqjGOqnMRYROarWWPCaHAvOdCHNxtG3mpR1pajDNnkgF+I6ZcjeiIi9HP4EsHQloUfP7c7sfaBGRFjGVahnb8dIOmFIlpV0wzeEoLGtEKmGAUpXAjvWT805oyCC5NNOUmNvjQ9EbA0gb+LlqFSbNcWUFxiPFUCrSMBXuQ0iRxhstoxj28fdfFeV/j0DPYTpy4na/w8pNZEwlvwlBUk4kDPh5jsVMyUk8PobQwm2AMgULFsrpsQRaEF0uXr5hKZuGGnkAm2TsdgZ9sAplxK835oRJztcMokM1jCElPx/Wt2eIF+3+PUYLEsLISHiq8FTsT/MyQVWekb1vlPM0ODjIgtcI1N5ZIt1ypVlN+TyV1BHtP6Tie1jw9VE6nUxOwuEemUQSKANkImZKTui+RRvUcDNXrFSNJ0BTIfJJingXmRr8/Ey43bK6XllZyTavBOk9mNhhI2FowI3Lnn4clz3yD/ife5Z9bYHSBg0SyA9vQrlegxgUcJusshckO/rd7ebtx45DkBMq09xYzhWM+6q1iAgjOwU07nDw51oggtckUPmGclTIuyhtMKfKEiGD7oWFdtYZeU2W/w9+8XiWEpZlUlHxcVHqPA/Llj4qR9RPBWnz5N/Qh1QowZ6n1KX374BGY0VR0blscvIHulvn35UKS2Wa7M6cxx57LKe1+HAw/6Qy1vXR1+zG+EAQff4+vNn3JpsmrBaBUKOh3IyDvoAYf20uZR8TyzpTtRFT3LC02968cxxqKKAWyglFbhPsYqGdKaSBV3m+JOtYmQlMKpVc4iGz1gMLatmFR2FBhG7xmF49P1UkxUUu6xzjNuKDgYjKCVc1onZxAUx2HSqaJt8QShvscknncFQnijwnUGvqwRDrD7AE1oQ7kmOgpemdhPD+cWbzp0nE1BFztKAdLiWnkoeEdim00Fos82Wzt8ORh7LSq9jnB1q+y2rttHgXFpzNWl+Ner5gd7dsRTiQ232lUJFhV4T5begDjXVyGfi5XR3li/F76VV4b5h7W0wlexFUpLGp3QVfJAGnfhzRUMbPkohPVk4kI6kks5MfRG4jziIn0agBA2OKwyInFPwUL+aLenHtuTk/s7+jF6MjFNimZp0PUpgbhWJRxzi96lhEAXOMHxO30QKPL0NOUqFcc/TW/hC29/AFN9/owIgYF2BJc1LaXFCN5na+CNfkm9im7dlnn2UzhShBlB3TshLMFTNZJE8LLVDQGOEQi/kxU048vCynjaWgTlBjdEr2lhAi0cnkRKebflhhdsn+L3/5C5577jls3i1KRXW8OySbnKji/DVTvL1ETiisU0K7uK/UidbcSc9l89swxyNQJZPMv0KwVXCiQef4V6vzMVunRpl7FCt69mJ+KnPcSCWia4a6vUhBPBSoccCkUqLDosLKMy24cK0JbWUG9NL0zHQag2+/PmUXlUQkqQOMPqbCr2ZXMpVlTpZZFj5x7K0l7B41q+EbOPmkfZg379ewWKZf5NOpNLvvZMNyfOkx8bV9EHHMW4n/HfjKV77CbtZESuiDVJs//pFPkDxcWPMMqJzHmWjHzlHsGeNtcXPy5siqyFBoCDte68Fdt2zAEz97H0PvRpkJLFs5ySYnknJSGC/HQCtfVCTGTSd12z6xC05wkuD18ZPeVnhkykm+P8lmy0wV6z4Vbq4oYC1y98ytZiUdglTWGRB9/j6jICc6kWr7TyzrHAwqlRJnf3I+rvvRaqaUTAQFqy04pZwZiQ8Hku+EFATykkx3c3Ddvw/ux1sxetcuOQSOwFJK6ca5jxNL/THazUiqiclYjxXLn8Ga499lyaTSIka5EaWllzLjXzrNF9pZDf/LdjSE/CJ+c9aYu7HjVb5gTeU7iTTzcy4klJM5yioYo2H4ocFbCd7WaCreg/JiI2LCl7OkkJsUVSpOQCIRFyv10s6afBbZyknAvy9nsmp2WYcQDDgx7ubXxuvNw1j4nVfw5Pap2xOloLBobAzBMFdMTRYea0/oGw+wKcjBoBOw/5VFzWePZ2DPK5bGC7EmNM4/CZZ0ChGtDi+FkzndfISClBVKhRrjKRN++jJ/vXXqUnjNnCBd4dkBSyyAqEaLnRHuG6nKM8lKLpG0XSLUTveOH4sS/DrqEq3aPCegLqed+JjA3Y0wdHgRJ0ETUkzynURlcsK/p9HkHdKESUm5f/3rX2X/zJhEdouz/D1FnMiqA7yMFHe70d3dnTObKDttemI5RkLV7slKn3nOKqa8Efs/wzSMFyuB83e9gyWdrYj3ZEjy2BgvwZMRViLCB4NNo8atVUVyq3y/UYkvFSdldQ3hIPMmTsTBSjrZxliaPJwDWTnJKFVSvgzrMnq8FeOPtUwiRDQNmDFrlQKm40qgb3TAuDxzDf2n4YjJCb1Z5A6eyhCbjU996lNoaGhg6sY/m6CQD4Y+yOdyNKieny+3rZLfhNDkbEKRUTj1AyPY/moPkvEUBtu8UG0qQ2GgMoeckJrS7mnHFzd8ERt6N0Cd1MLx8mI8+fNt6N7jktMr6eYdGwzlkJNIInBEyom0G8kPpNhCGvLOTD2h2Oi3VjbhZOEuJ0hlnREabTsFOZHLOv9C5SQb06kiRJbWXj4LJkk2nyGo5ZfNwEmmEe+bOsqejGjsBkE3CnFslcI4GR8LMVITFVOEpZCzY0VOaEfFOnAE6cgmJ6QkUPcLgQaqFRZmVASL8Fro7H3Y+9YAEvHklL4T+f9GfsPV2eeicYiTmbi5HqmEFhqDFx87KYFbTqlna+rcwvGcRNJI1I2NGzfK043JY0D+LrrJ+rJeh4Rs5SQQdMDv9yGaSOKbT+9lxtIfv9jM/j+dckKqEmWaEIaGFGwKOhGjPS2dUCnSiKTV+M07CahUmfLePpGWnPBQb44KSyoLcbmOk60nVSbWnSZ1lhg1elwQW4brai5AVKHBxnYXMwJbEnpELfw6b+pL4ZTBLezz7U4746s1TkPOfZFK3ey9iZsR1Cvxd0TxLg19k5BXDycymxaJ2GWD2oxp2rtEdA4JTze2YR7ew2IMBHgZt6//ARaAl13Wyc87mf1rENkbBwP9bVqQpWvPGxdlLUfWRqCc+25UIU5OvEYjU4mpi0RqcY2lUnJi6lSek8i4G7P7eUaJZi0vASr0eujr6ph6yI9TMwy9b0IHfh2O9G1BJDrEovjJf0UoLuJzlGaCW6qK0Fxdhd9u5ffiHuGDKvG6pg7dyyInhx0PL5ET62SlKnLAzZTZ0NZhecMjITEuco4cejgurEf+DfPY7Jv/VCiPpoRD7cHEhidmhUig73d2drLdFL2B1N3zYUDlXKfctnpgqFVWTgqNvCZOhISyRShlVPI1mGMORkyksg61Dn//3e/j1e5Xsde1F3OHj4cizC/mDX9vxtat3NRlLapCUYxf7DYr372nVDGkFInDVk6kSOWyNH9bZ1ramQqScuI2KZFUKxASZZ0ipYoRHwo7Y8/5KHM8PiigG65OzJuJTjMEMLzHlenCUStZO6h5dZlc1om2eli+Cc13oWTXYwG/iHo3W3LDlLLJCaGh4X9QX3c75s79RQ5xo/k0BL2jF9FQHJ07xlia8FsPt7BsHE3WOaYoSEOv5sR4PFmGNaI9ub9Ij55hrp7ElM/hS2c04q2vnIy1tUE5OI2gosRLpLB3r0RELHLbaiLhYXV1s4l7LCaRk4ATwYAfP3+lBX1ufhOmdmWaT0PI3kXKhtgktZpz8rF58wHs378f7733HjrauULQn7JiZ78PL+weypktxf7eKH9tc0qsuNxhhDkSglelwb39Yyyavj2/FA8tXosBgxKGYBrVFJhGmUBDAUT8UbRa+PVQ527ClSO7oE3E4TUZsbbECtfrHdgW4q33EjRpFQoby9B8YRXuRBQHsqYWEzkxIAq9ipMkqWQXjUTkz8njsWnTJlYqIqJySHh64BZm5ra+pVCk1fB43kNP719yDLE1NbegvOwa1NV+6ZAPKXXc0GaT4IUF0JgAc5ZXyJQHFM1naexKgw7DojuH4hrIb0L5Jre39LGiFsUcUCz8RPQ++xLU6RS6bCWo+ulPYD7pJOR/+tNQqNWwiOuAZZi0vYYC8KnTLZpH8e67Z6Kj45fstTHCXsQD22QceAnYdt+0r89abcfxUSVWjmWOb7EgJ5Jv6KjJCSlmgeFMSW8C/BsyXsfYBHN+QqjVzCv2fwBHVdahN+fMM89khlS6SdLn2SSFxoOTikGm2Ntuu42VWz4MoNKOo4S3rfraUzI5kZSTwH5+2GoXFcAh2l6NMSsjJkaqH+v4grF1mEuNeeoCLBzguQvU+urxedDdzXdWe4bM0ECBhFqBhsWlUCY5KVCYQlDp0njmmWfYKHsy0B4MoWQK/WJ0eI1Ge9TkhHr5FSLFMNLEFxl1Io1IbxABT5RNCqYWYmnGz38CtJXWaScU0+JImQIEyykVKP7iUhR9fjFr4yPQLkcq6RgO0+9yMPj9vKxosWSyWWhnLZUFJXKi1TpRVXXzpBAzaikmxUWlDUBtcGP3G3144Q+7sGt9H/a82Z+jnChn8/MnETVi7K0glpRVooTyORQKvK3jE2j94ZcQj3tR7jAiKkoqNkFOCGp1fJIZ1h/YI08UJs+MBJLoaYoulRZY2FYyIg/KW1jBifpv1rXi1J9vwPIfvCZ3CNFrpNckgUbK+0UeyZ49e+Aa5IrPCPhj/OmtjFl+f4A/hsKfYHOBCiw65FmtWNrNSzb3D4wx5eT9qkYMGEx4tVjDpj03FPHSVcuwH83RKOKU3htLoSysQIFqGRb2ckL02gILvrTQjKcXrcXzy06GrpR34+Qprci7vBGziq3y48iEK0+YYpVBmXjS9f63X38Hv/7VL7B943pZjYrH43L0wUHh7oZHzPiJRCzo7+JZH+3tv4A/0IyE6KyiY9fY+O0ZxaVL5ERKHfXDhKSjjpemslHDO8h6a8qxW0zHpVj67nAU1+3uxIOD42zhoa6Xqa6T4EsvsX/3zVoOjd2GirvuRP4nuYewIP90Ocwv2fMOSjEMh7MfaWWCkdXuHl7OLy+7OudcA+X2PHod8MwtrItpKpB3w/nR2fhyYUb1LBEl9qnIiVTeOlhZZ/KLG2GTlWlsAUzciCuBjPQxES6Z3fU3mZz8Z2wI/6nkhNzoVEZpb29nBjD6/Pbbb5e/T3XX7Hbe6Vp7P4ioEupJwVg1yyept9cz5USZUkLVyW96DcuKoBWj141xq1zSkdQTQq2tFj8rvBvGuIWVQM751HxEDFzWyyuowPgBTiCK621MhdHE+G7HZ25h5G7btm2MnDz//PMHjbamtMW02I0UW7TMANfWTsawLPn4MEDm2MIUv3F0l+nkIX/NOzvw0ksvMWWHXo9S5KH8J0ArkmLJdzLxWFMcPU3lJMVE3+hk6Z4sAl54NujGEdnvQgopNoficEE3/okdZ7GYS97hWoScTZB201Qymc6IJ0Gl0rEFiP28vY+pfpLqRXOK1Fmzh9KVfHFMhPKh7Apic7MCDcN8IeyqrGQqTCoVweDgYyz0TYo9510y/BxRqzMlCZmcTFHSIdDCNH/+nbBavoxo1IwiPSfgtfkm3HfDCtgMGgx4IyxXhfwNz+0akOvz3HvAYTLVy2SNFoxkgKtK85q4D2X/oA8JKtdE46wrjT1GII65pVb5edaN9kOZSrH8jY3eIMbN/DrsNyjYoLOPhx/C19V/R8uQD3vTfGc9N+BiBF4frcf8/nYYYsIkHoszI2efyYanq+cw1WROVSOURg0zy5J/0R9JYMQvNg81FJangCM+KG/6DrzxKAbCOqShxNOvvCF39hHoXntIeDLkhNDe2wCNuon5kvpF2YOIoVo9s3Z38ptISsGsWbNYzgc9N59limyamhPQjkq8vWAZkmo1ah0O9FfPwtrNzSzOnboD/zS3GpcUT1YcIgdaoNv+Ho0hxOgyTnKyQUSYjLvJZBAuawolKg+cTols8HuRMq1EWRk3icvof58PJWTHZrL3SoK+zo61J9bgF40VOL+vDeZo+NiWdSQzrKVYHvYnwf8G91iphJcu1uvn5fldo2yoZ9LFnwt16PxfwFGtLMSGKc9EmqdDn9NE4GxIGSKEY7Wb/FegSphiKzxNmGVrRCyQQmp9ES7YdwtUMS2bL1LWaEdCz094a8IpB6xJJIVwZvWZ6NjCGfZAsQZfeGUbYhbuN/F3WrEgxk/QE86rZeTE7KuHMqlDDCG0tLTIrXdEBN98k7vWp4JUw60yaGGy6+Gz78O7+149KrWqKMQX6P1WUXYKpbC77T3sbdmBsHFATnL9T4GWcklUCtYWzIhIFsIi90Y/y5FT56UbCcXUI5XGrmgH/qrfgI7w4QUSkQHzb3/7G+6///6cVlK/MJEaDNVCYZi6pHMoSAFkRY3dsJRvhd7ZCSiSrBuNXgspQcalRUjaOOmJB50sh0F7IIX6IS8LBtwfjiFZcD37fl/fA/KkWyIJpGQkk4dPTqQcioKCs9jnVRYFfn3lIvz9ppWwGTX4n3Ob2GK+uo5fi6/tzywQWm1m16nTVU8i4WMpI1Y2lMGoVSGWSKHLFcLPNnHypwgnoEimWay81FGkTSZQ4uXK2GPGTFddv9h8LOl7CTern0esfyfahR9hTmAH6fTQ+QzQJVP4yPa38NX9fnx+60ZcsWUdm9vTpVHiHJyMJbO5MVmvUWVKRKJNH9ZSoHqN7Dshb8eGd/jEWhMypKSxkXde0VBVUndeeOEF9PVNYRpORJH2D8rkpAlUmlYgGOTekJGRF2fcnSNB6jiihZiGIFq1nEh6DZlYAhlVq7EHnExXdPfg3MIi/Lp3DLF0GsfbzXhp2SycVzh1m73rj3exf98unQ/brMmbWSKm1LpKGC7QoaRhvpifBMwNL0TeeAz1vanJ05V7sgy2NGrgEKB8qPr+zDRnui7pOs0maxIhzp4XdEj4xb3BUsI2QJTySiB1TjKl2y/hSlpsIMAGUY7/o5kZZOlnCP8t68wAU/XkTzfr5sMGCvRK6xJMEVmx+yI8TYP1dilQ7OcXzKzlxUw1CGnEgLkUT46cSE5OLTkdY0Kee2moF/We95BMx6BMGGANOKGAAhWL8tnfo/RSZVoDq3sulEK2vuiii1i5jEA19enQF43JXpHhUBti+vGpR7sfBhxuvkM8oOD/WsJJBGL8ceNa7xGTE/Ik0O7vUKWqfzWIZEjBaRNLO6SmEAxizo38O0oFM9NSWNdmdRubZtvRdXjXAJFQKtXQzerAgQOT/CZSnf1IyYlkItQWPoOy1X9E9Wk/RMOFX0Ta+BozddvOqIbzslmIxPhNOx7iN1tbWol8dwlr1yQ80EphiyaEIz0YHHqSfc1krGPvYzTKvQNlZZk4AamNOENOph5CJr0Oel2nNdjZjB/CZcsqsP7LJ+HHF/OFfUuXG95QXO4ukaBUTM7n6E/ZUO40oKHIIhOBDQN88VeI2Tbzy/gCSRsAeq5VLk5+RkTqKHscYQRPpLmvot61EZ1i49oY3geteZRdw9aUHrZIELX6CNxxD6zREBrF3m+rUwWVI7PblUpErcNZnoL5l2Ex9sKgiLFslOGEBRrE8UnN01iIvVhUX4oLLriAP7+REdx3333MX3PPPfewtl7yo9B5xODpRRAGJERw3BxGTuj3+HsTj/Pzh7q+ZgqppFNWxu9tdpFo61Xnlib4A1vRqeLJtzWdnYh4PXJ3zp1zqjA3u62WdcGlEN6xA75XXoHvRV7SebDxNNQIEjcRRRpeKhrL00LZSPOYYojHtVBt3Y5Fe3yo6BqjYT+5v9TDc09yDKkHAV2P4QhXKrRp9ST1RLqvkveSFMzML4aA9/8KuDLEJgdZbcQU4Dj4g83wvNDJTLAkfVOkAdsAGdXMnE8Bj4RoqxtxEVfw37LODEBlGurYoU4c+qDPSXIm38lPf/pT9sbt3MkTK2csR34AQIvEWHQUrYvfQFKRgK43H+7BIAw2NdbX/R2vNv4Vyy7gPftetYilTmRuyuUW7nynUpBxPI95V0wOHRaqWmFSxOFO6dEWbGI3NYVagVOumCWHwFEcvCZhxllrLmVK1Lx58+Qgu4MNXuwVyokzlcDezoxakh0sdTigRcs6JDpTxNcsYW7UJSQ0PpjzD99vQuT10UcfxQMPPIDf/va3cpvhBwUZU2zusZac89I8mmyk8zRYr9mDtOhFPNxjLhlICfICw+ahtMtejaMhJ9meEL2+Cmq1FSptCCXL78Xu3f8rd3AE/LyEEw9mFn5dtAAXFXKy8kZUBaORj3cfGHiY/Ws01bFdfDwmprY2lOUoJ+FwPwtfI5FWIkmTn5+NBZTRdTcVAa/MM2JWkRnJVBobWrjq2OPJLPbJZKH896TZIv1JG8rtRjQKIrC9z4MeA988rC604vazZuP0ORlDLv1ulWuyr2BIqwCl1CfT/BickG5FB+Vf0AYl2AJ9A1cnrGl+Xoym+tkAQVvKiOMSGpmcqO2Za6WhkJ9jrSNZ58mcC5CnCuHa9CMwgJ9rK6pMsM47AxfhFXzEvJNF6EvkgO4F1A1Fx4zMstTJQ5kqPT09wOY7ZdXEYjKgAny33tNDgyA1U7ZyT4s9jwO7Hp1ETmxJvknxKnKDEKXz05PUQ5lOIX9sDG2hmGyALRAG2Ee29OJ7z+3Dj17Yj+a//B1dV34U/Z//AssV2Vm5AF22UtaSPQnJOCwv/xSGcBIplQL7fA/wvzlehsF0lloy2swJyrb7gWgA6N08mSAcBFLrsFahRmGK39vffvttPPjgg4yYSN2WNEU5BzsfBJ79AvCHVcC673ED7DRtxBEpVuLNPgQ28vfItJJnn2jK+TlCAYn8E7oJkVeFd+v8X8Bkq/RhgBZPukFKk4Yp+IxSWSljhA4wdepcdtllWLp0KQtJo0Xpw4Cvv/11PkNHAbQ1tuHctk/CaNLi/FsX4jevfh7JdBK+lAd6FMKlGIYODmijGWPhubXnshbkC+ouwOAWMXK9TAeHWODGS1dBqTag1mDF7PkFMGedbE2rS3Hg3UHMXVrLgsay5XGSEsmpTxHa0yknGB1BKp2CIqVmJrGDTTn1jIRY59CSM6tQOcEnMdrrR743t43TLiYmE9LKJJKaySm0hwL5k7JvYrTjyw5n+kCYYt8ZyFFO0omU3EI81a6lOdkLnzLMchLSisMjJxTrTTK9BCJr9DUKUJPG3EuekSMlJ3b7Msyf9wdWGuKJmSm88Pf/gb70Ebg8D+HAvgo4TFch6Oe1eJ22jJUYqexD/161aiF+/9ZuuMw2dEeWwonXmfeE0N4WwBt9T8Dh5HVyhzOzCCtV+7D1/V+yzy3mJhaKNR2IhJPpkAyt0lRa6ZwnM+gaVR/aUYjX9o/gwkVl2D+sxopCIJ5Swx80y8dj/tKV+OYj72IUZhTb9JhVZGH39b96vUgV6aFIpHDH6jrUTpiXQteYbXAQ+fEoxjQ6GJNxpDVahFNpDOkVcMS4QlCiTmLYIMhJfBj645bAt70ZFkFOevu40b085UTlWAL3lhA5UR9aOTE4gIYzUNL8HD6Bh9FcdgVWfPQrwPBOYPv9wL6ngHPuQH19PSMKdH5ce+21rE2XyO1Qfw+GRsfx9tN/xVWuu+EBJ7TUrGAL0ljRMMJJA/T62QiHd8szmg6K8Q7gsY8zb0m/8asZcpJMwBajRbYS3sTkHBG67xOKIiPQJBJopWwOUppMfJ7Qnn4vvvJ4piW6rOVNUDO6yuGAqqAAd1bw+Pa6winIyZa7oRjYgVlJB/Y0GeTo/fHxMgzAwEpjlBljInKy62HenbP1L4AIFZxpWUfaCJq1JtYC3geXvHGg2T9EDKVZSzkYE9dyMga89TNuel31qSnISTESXVx9IqSjSSgtGhjmcGVWW2GRYwmUZo2cQC2Xkf8P4KjICUHKFskGdeZIIEJCAwPpIzuE54OKA+MH5OF+1HVTu6AQ19ywCnq9jg3iKzAWYCg4hOHgMDPIDqb6UI3ZUIY1zLxEMr9JY8K3V3+bPcbTbdvZv3FrBBgDogod7v/USdP+/RXn1bCPbFCNl7XhJZOMbNANZzrlJDnELzx9uBBh08BByUnb+yPoP+CB3qiZRE569o0j35dLTmyim0CCJ0K7h8OLLZaUEnL879u379gOOjsG0NG8HgUQ7w+wmi/5UCiVsU0xhH3aPpw7XokqSy6ZavHxRb3RXo1mb9dhkRMq49D7SnVr2gWToZO8BLTgHLf6AGuEmBhnnUmHnRk5IRQW8tIghwomxXXo36ZC8ZIH0dv3W7zxUiHqzu6HQg3YndXIayrBO4+1scGLNL26RpFEO9TY7SnDSeZM4Ft7ewhu9xAsVjEzRhllZHNsrAvDw99BOh1l5Kqp6ccHfX5z585lGxjKB6HjR2SBPn/ooYcYWWOvQWnAhgMjLKG2061j5GQkVICxXi7hU2lG4yzD/mQxm2+jVSsxu9iKVIEe/iI925UvG09PIibZG4Dy4V6MlddjQTKKcYsFLaEI+oxKzIryRajFwP0AedEYHPUnIl2Rj7BOCatId5ZQnsqDk+ZlFRlZaWgglUQ5VDnKidSxI3vx1vw/ZmTNX/ZxrFn2cf61ylU8R8TdCex/FkuXnsN8JosXLUS52gPUz0VDdQXGfrUWv8M5aHGlMII8eOs+ArTHYXfmQzGoRmlqGO2oRjJJRJeTE92hyjrbuSpBQw2DoTAjRKRwwdsLmwiN84gyWzakjJeKFFdX2hQZckJ4cQ9foBuLLDgw7IduhKsGRV//OgaWnYDuX78Fq16NAvMUyuzep9g/+Yu/ipULz8WBlm/BM9qM8fFyuFCJd7EUVejDDSPNQPsG/jsDfPYSKCU4lZhRWUdSTmxmCyp8+dip7maEhMo99Pqke/Ak5UQy29LMJFcb0PxcLjnx8deatpQiLqaBUyQBkRPT8mKW2kzQStPWFWAdRGN/3v1/qqRDOCYUjPJLrrjiClbWoX+pDpot2Uqm2Q8D/riLt6KdXX023rzyTfz2lN/CYjMyYkKQsk5GQiMs2n6HfyvrjKEts9sdxs33bcXv1/PyVSqZwlAnZ+B+JScJCW3G2DhT0M1LunlOV9qRlJP4ICcnhhiXrMnlP523IyAMVmHByrPRu28c+ngazqxTRB/jREId5xfOqOvQF3k26MKWjHWLFy+WF9qDdSH9q6Gy6WBYwBci/zp+oxlq78dbmv0YUXhz4sgJRK4GXDSaXYG1l/BZTkQID+WnIUJCZuV169bJizN1QUiGSIUixD44ChlZocekj8NVTqYCKSKetpMQGa+BUhNB6XF3QaHm51Z+aS0WnlKBi7+8hCXuEipFkmdXIA6nMzOvJBSyYfbs2ait5a3O8YSX7eivufYkRkxoaumK5c9N6zeRQK+lvJyXQ4m0EsgALhETQrVFwbpcPvG3Lej28Z89MF6H9n6XTE76RUZKmYPfxGcVm5Fy8F2uqi+EswqnHrEhXV9LupqxsnMfvju7ipnLCf0GJYa0JdjpXINWQRRrwyHg7DvY+/6SFQikMwspbSRKUg6YIinM9vHz4B13ZpNQW2CCSqlgIwA6svNOypcBn3obkIgJgYjLItF5suPvrMHgmisuwbzt3wTuOh549X+ZQpAfbEGTkhP/dwquhsfBk3jZImoqYC23BJ83s5geVDmhcsR23tVDZIdABJqVzcY7YAc/VyYmp9K1LCkn1cX8b7UbeelnliAnL+3h5bPPnFzHOrNKA/z901ZVom2EH6f6QvPkBoqwG+jjRmHMPhcGQwUWLfwLmip+g2RSg5Qgfz0oRaxtA+Cd0JUjxewLgnAwSK/LarejOG3HNZbTceuttzKCRt+TjMiTyIn0N5d9IuN1iWZtVgQxSqlLkI4kGPko+OQCWE+rhOUkPguKoK93sJRp6xlVrINII8jK/5VOnWNCTi6//HLceOON7KQkAkL/knIimTg/TLj9zdvxWjef0XPTgpum/Bkp6+ThAw/jsmcvw1BkEFENX0Re2NKPV/YN41evtSAQTWCsL4BENMknHYfFwm46smFwmc6HybvyYCKJcZH8aQoHWd+9jeK1qcyQTue0IWbDP85LFZFgLjmhsK5h0W8/y5x1Mfj4Dc4Q5BdRT2/PYZlaKZ+Bfp4Iq6SikQOepOkPEqynVLCbBnXoRAf8eG7jy0gqUlAqlOz5kl9GUi+oDEGg11NcxuvFE485leImHicKJqT2cCKbtKhSl5tETghGIz/+SmU+nnrqRaZAkgGSjiF1ptAubioFbaYg8zVd/oPvfwzptALGfF5ui4dtKK4pYwogmbRVapHpY+U3x6FEGg4Hv8nTVORo1ISmpiYUF/FFOxH3ssU5GuHyNs02oXbmmYBKOxI5oWMoZUtIk2w/MtcBjUqBUCyJA+5ZeGX0D3jwwCUYHvdkyImHX4tldk5OaPettonsIF8MiyvtB72+qGvnyw0VWFBVIZOTNosSl61aikvmfQeb7bx1tkFPi34eDgz58fNRD36Q9VhVFZVQi4Vy2Tj3HDwyNI6UIOHUsXNCA/ew3L8p47lyBaL49jN70TuekfsZFl7J/+18ExjcCfz9UqBjPf/apt8DG37EPj1+OScku11q9AmPiEROSsA9Ev0H6LxSHHrQX9trQIAffxccuV0p7k7YwO9DtFBnby7oPaN7FJ0DFUt5tlNHPn//Go16tI34WWs4vY8nzy7E8RVm5EeEv6Myl5xMQvt6nhFSMBuwZxbygoYlmJ+XwNx8wGzg7dcSSUXJQqB8OTnXgaU3ZAjCIe5bEjlxFPDXrhtPw6AzyJ4bKfV3UqeOpxfptBrewRUYit+NWKIa6OQZNdl+l3gsTyYbpM5aT6vK6QJUaJTIv2YOrCfzbijLieXsa4Z5h9EZ9H+ZnPzsZz9jSgl17UilG/qg/1Oph77/YcIbfW8wM9tplaehwZFJspyKnGwa3IRAPICFBQtRmM/rhG/t5ot3PJnG261jGGznJ3hJnQ0hHycnJtthRh1PaMmeSjnpFaqJMZ2CLplgRmWLQw9FSszBmaa0E3BPrZz0HXCzEhUFzM22cZ+ASaGANhGDIqmBLpIHJVRsV3s43UDZA8BoByZ1c3zQSjuaIpN8E9j8zJsY9o0xx/41Cy5gsjb5IJ588klGOHbv3i0vrHRDJtNiNokk4vW73/2O+bKkmzi9H9QaLk33vuWWWxhho+NC6uPJJ5+M+fP5jszvN8o+HTI+SvHlVBaT2syPBE7RlRR1V2Foy43QxC/A6J4LMLDp88gvm7ww1Aly4tcZkEougdWyAKMjlD6rYHV3tYYv+nER7iV3Gok25plGExDIU0GLAx1nInvksyDo01FmZGXP36TFF88+Eam0CjFSMQQ56ZugnNDvK8z8OlCFElhQPjU5IdVG+lvHH88DyarE8MvnSjVw6dQIKNR4opTfF+xJXhGXQuOOa8oslvWzGqAQC80F/XHo0sA7ngDu6ePlJ0pJHZttRXRlAR7e0QefCE+ksLi/buxiwXM5sFcC1ZSFQj90MtD9DqCzAlXH88WaFludDeWn3MheB52X1PEjkxNzoaycDPlUqOuIoUq9grWoTwvyuRC0ZozBmQkbC40DW/8KqyAnRJSlzQUpo3RdsGNQXw990/GIajQYyCuSyzqSanJ8fT6seg3WGPkGKaQzQmW3o330IOSECBP7Zu60eVIzLrnl+7jsc99Gldj09EIQr5oTgeueA27ZBjRQgJuCl3ZC/L2gY0VdOBM3DxI5sRflsWwj6pyh8m52BYCPjsjy3ER8SIaTGIn9Ev73wkgkixFKnpB53qSgxPhxSwRNObOtDgXj/AKUfe/4Sd2C/8k4KnJCN9RLLuHJkRNBpZwPklw/E3x83sdxds3ZuG15xjMzEWvL10KtUGN+/nx8Z/V38Nez/gqbnZ9ovYMZErC+eQQj3fxGXVxrRSrEd3d5BTMbC384ykmfuLlZxOAxIidkslWltIcgJ/zGEA3Ec94r8psQKuY42UBAgl3MAtEmrVBQ54VIwZ0qnOhQ5ERSTbJbSP8VIAWD2i4P1pItwbxWDHkc5DfTxmQpCsuLmcGbiBV5Z+68807m2qebo5SaOfF9IsMvqSzSjpJA5Rx6LjRrZM2aNXIrIj3OueeeixNPPBH5BXxn5vVmlCvqitmxg7I1gPnzs4atHQFoaKJeLNpFhedjzWk/R1XF57Dq7DNYivFElEvTqPVGjIz4MWfOA2hpWZSR+9W8XJJI8Ju638+PsVnM9pkJaPGjY0HHRuryo8eWQq5owfjEmhr84vKF+Mv1y1Fk1bMgNYMiPrmsI5STSDKFiHg99UY9zLqpbXZFRUVM8b3qqqvY+0CQlJOwOlNeSItSQ3eXB92uIJ7ZyRWKm09qZBI//S4LKRNm9qpQGl/T8IX2+x0D2OYN4o+9o9gSiSBt18JXa2adK4QdPfweQT6MSVj0MfEEkjxR9vrngEvvZaSEYdn1gM6SYyaWyYmtnCkdRoRZ6UPRZ0L96y9AMV0YWTycWVBX3AyXSNrNs5mB+y8ChndDY3LCJCYKSws5KYF0PRBBP++886B2OtBbVIq0Ugl7IogCjQov7eXX01lzeafQXFEe6jXkwR2MycpJXcEEckLkYRpyko2KKk4eeiFKVkTgNHrAWUPx3IC5KMcUS5sLuo6pEycb0ibQZrdBIyITEiOhHN/kJDOstxeh5OmIp2skcQrxdBXQ9irzOzEPCkFnQ8Kdmrb77784BuTkUKFqR1MT/3fg5gU3444T7shJeJ2I1aWrse2abfjHuf/AxQ0XQ61UwyjMgKaUAg4jv+GvPzCC/g5+0YYNCSiTlGMBlIo67LEkJ70RrpwYgn72ntAFZM3XQynIyVS/Ewsn2AeBphfHInwxJJLSu1eQkyYnTnJaQJdPfh+vIxeaucxot/IFY6bKCe2wpHZEqTvnX01OiByR+iD5PA4GbbmFueeDoiuFujHIjEYL6Nlnny2/djrepHRISa3Z7xPt/N99N5OvQD9Pu0sqzxBohz7dNaRS8Z1dOMQVs8rKSllOppv/sfBw0QwpKtssPLWCZfYcd1Ed5hxfetBZS0ROyHMjve9s8VOr8X7UiRSUSMR9SCbDCIlOI4t55oZpWtgl2ZySkQmkVNEmSFow6HhdvKQci0S8Pe3Ac8iJh5OTcqGcdFC+Bh3ieArnz860Dk8FMp5LxIQdH0FOJORlpSGPjoRw0s82MJV0ZY2TPZ+PfexjrGORCJU6a6zDtfkOnJ5nRTSVxiU72nBHZ8arlSwz4Q/7B1ibNHWxSF08kyaKz7uYlyVO+Arwqbd4ucJSBFx2L7D4Gm6mFd4l6iaRwI7d2i9BcfI3UNfICfQbmlP53B/qaJkK3Rt5mqq1DGg6Dy6hnOSPbwUGdwDGPODaZ2Cz86+TiZvINxFKen+IwNN1oCASX8tVr1nedsQ73sT+AQ/USOCkRn4fNIzwYzFgzsemDpfswZmknAzv5jNpaJZP1epp30PpOiHlhFJmmaE4G9KwPVFekbwjks9JugfKhlibTR7xkBgNyTOCpjbD9iKR5o9PeSWEeLqam2SJmLSJ+07VasRHQoelnPxfxFGRk0PllnxYck0OFxMXFEqLJZjSwG1nzmaplC5fFD4RmvNaB68r+9M6lDhmFhd9OGWdPkFOaHgZERNaKEvr7fKcnqmUE78o6UiIiPHn3pEwmzisVCtQNssBWyiA6956Fsd17MXq1auxau0yNk+nqq7ssMgJXewknZLqIO2EJXIi+Tf+2ZBI2kxMuOS5MMzOQ1DBj5MprYM6Xy+beakcs2rVKnz+85/H2rVCcp9ATkg1yZ4wS8oHGVtJBqdFnYyk00Fa3MNhK9uJU4u+BCohZS+iR4pTrmnCdT9ajUIR238wSMpJVKNF86gLV3a78WbDQrZ7/F3PCD7RYcaTuIQZYgMBCpKjlM586HRThHQd7O8IU6y0OGSTk4n+BsL8Mgv04OREbzShy8UXtwqnMWcY5iK7CbecMnWpdjpUirIO+zueJD6r5++tOZ6GL5Zkmw3KX/nOhXNz8loIknJC0Dj1LHzsFKeFtSZHUmmc6LDgplJeOhwo1+PlPYMIxvgGIRxPyuUpGWodcP6vgFO+AWiydtv1pwIX/o63IrNwOg0WLVokn4ssdoDKQid+BSefeT5bWDvi+WhBLTCWydTJgbSI1p2CqLkcfvB7Vt6g6H5Z9RmgaA5bqAlUaty+nXclkv8oW13orubkpN7TjfSLX8Mb2luxTfcpFG25Awi6EKNcFhqmaszD3W91sDRf6rKi2U25z+m1zNweOhbTgBQwjTKNCPRw5a8ADBPKeJbSnKRW6X5K5Io2ExLZIvWOjhXddyXlhLpr6PhKr08i0jI8PUikOQGWyi+ptBPJtAXY/VjmNTScxlSYqaaC/xcZHNUdjvwmZHxdv369/CbTv9S9Q7XzK68URq7/cPSI9EMblLhgUSnW1OcjL6kAlFF4rK1wD3OS5kkbUCRUlmOpnLR5xKC1SAinnMLNisV1NqhEB8H46OTFf+JQQMl30iOG15WQQ1yn4qUYaoMsL2cL5Ny1ZbjuR8ejuqF8WnLS3NyMH//4xzn5HRJBYjsqQe4kQ+e/SjmRngPdeGZiwtXPdiKk4MfJrDJAaRHGSurMWbsWZ5111iR1MLurilSa7B0WkRMWkpXlUZkKFIoWDnNCu2TpObjwwgvZQkBlICIlUqfT0YJUE4N4TYeCRa2CTSgHb+ks6Eop0FxcBUtBIV538Wt/A05DLO7LTFIWE5GPhJxIoMVeIuakvmV37xAanFo2q4aIQocngUg8BbNFg3vcHvy2exitQf7+NVkNrEPmsOdLJTnZOWcgjktDapzTH8dnW6O447qlePO2k/HK/zuRtStPhMqeUS8o48SsVuG++bW4pbKQRbj/fHYFvlZfyiLuYVDj52/npgrL0fZHgJUrV7JjRipKNmhTcNxxvNPqOZyKDbt7J3XbMGSVT1xBTpiMCMHQ+Sr/uvC/0D2ePdeWFpmcTDw391bxjJ7G0U5ox/ahXDEGqyKE9Bs/R/re8xET0QJDZifq+5/ErzS/w1JnbPJ71ZpZ2A8GuqbKyCdC97KScyb/AI0KyOrYyb6fSjEHcit0RQUjd5piXraP9fGfpeuRPJWTNhfeHiTTnJyqi01yZ02CSjuUGiuC4FIVp7JZOQSJ+PwXxzjnhE5EqtOSv0RqH5MWHTIASgz+Pxkkx77cPspChOqtRlbTPmteMQa2jyFoaUfcMAqn2Dy70wYUWvRHrZzkZCMQGXCNs93U7DyHvJuhtFmbw4pgDBgbdiMqyjgWccFIbcQSIoKcUAsxoVKEAUkjCmiXkL1bl+qt9P2JwXAkydMiQjcsabz6xEm1/46yTraCRMeRZPyDQV1rQQj8zbM6bDOaDSW9PjKxEgEiwxwpLDRdmoictDubuAhnIxIZQCoVg0KhxZrjL5An8F599dXs9w9rlscxRIVBB28gjNYC/txTSiX6LfnY6Rfhgop87E5WoliepHzoks4rY14MROO4tjQPSoVi0m6U7YQ1GvZe0WunxVQqodFu1ywSiyNQ49Gt/Ujm6eBbnIe/9POy2Czhi2gQ/x4WhvbgC30PYr3hDJwz4IDKHsB399DwRwXKZmfGVUwFqayjNGnkLgy1UoFv1OWWzUqVavSnk2iJxUR/D2TfyWlZCbaHA7quvvjFL075PSLVu7dthjdkxoZBYNs99zD1j12/5OsgL8bYAT41t/YkuNq4HyYfdI2mAY0RKOOJw3QekomZznVSCOkeJZmapUnpu4v4+1nzchda3CXYsHYR1BVzsPbBv0NjGEZCvOhvFD2Lag03fqe15Ke6MPOkw55Mwms9n0p8MFTUz0XX4FvYOKBCzfh47mC+CWWdbCWa1jBSfrKN+wQtZR8RyRgOIRmMs9cpdZZlI+3uQyLNN4c0GFRTZGQzuuKqJugCIoA0vxGJOF2/fSxcjYZB/hdT46i1YdpNU/mGTH533XUXa5EkWWw6o+x/Gp7a3o8OP1/oHWLx/siiMlxen4+Yji/sUvk4qLbCkNUudjiQFj0iAtm7R/p8hGJJacjgklwyWFjGdxAetw+P/OA9/ONb78qKyUTlhMhJMpFCX4tHNsMebPImPR8yL0rBYRKodCONdM8eSnYwckILjtSa968kJ4dCMBpifgVlWgFL/tT5GBMxMY+GyKKknNBiKilNxcV2DI+8gJQwGuc+Tz5fx2iskokJ/7/x30ZMcnwnhkxy57MpDeJZpZa3cBLc7s1yKuzBQOfOp/d146stffh/zb2si4X8NNJ5QcdS6uiSyLm006fwOrrfUEgbIZzW4Mk9A4gvciKmUhB/YKAQNcL/b+88wNssrz3+1/a2vEc8Yjt7kp2QMAIJe5YwC7SMwi2FQqGFctvb3g5KoXvQsrpbWkgopdyywp4hi+xtZzhe8d5T0n3O+36v9EmWbMmWbNk5v+fxI1mWZOnTp+893zn/8z+TNGF3UBzfDLz+P8DTq3DLkb/gt4feQryDJuY2uBeewQJVYT9uoPbYgX2NlmllXqddbtvJmtbi4DAyJwNB39nbr1yNi7Ee8egU+yllOrHhceD7mcAfpJ5KtN/G2t3f7TQRnGimcCQs1WVpFHQyqj+B2djchl6TCZkNdcirroKz24CszQ2Y+MlBOLqM6Gq0oq9OPm+ezXNyO9XoM8yw7B0pBE6fAqQM7iZNjuS079Brp5NkL9E+6WiIox/C8dipaNcdEygooX3SV7hvSrC6p3f3bNsZsA3ZUU/vxQKyiia/JJVx6bWf4bnT5NXC3JGwcElnQMLmg0s+DZRBoVq84umnn8Z4huqjP3/zANq1KaVd2kAxo9EAV1utsHh3woYXembjrZ5JcCYGP2jLFzp7VEI3fSrySFU1Oq3y9jkTvGdl5BXL7EZHZzta6rrQ1+tEhWaJ7Js5obJOdWmz8GWJTbK620kDBSd0cFbZE31phw4IqmRCBz61mKjAQC02BB1AKA1LAQ3dN9KDAPXbzW862wcVYMTBhlgyUQgCffCVl7cLE/L+jYQEzU+GOjRcLrHQHiv/DnbtugulZf3b7auqnxeXdrvnwB8NqOBEz1ZNVF2g/W0jlqKxU56VJiVJ341ANPY50O6Qn/mz1Q347wPHvbJKSr9B6EWxhGrhVvsVBScdObGi7TPPbMbzp0itg0IZgA3Ktr8DT58NfPRLoK9TlDZM597tNeckYcng32NLeixyHlyMtM8OHKCtzJLvy6l5saxZIN/7Ab21fZiJmzATC7ALCyE7oja/9SLw6gMABcrN5V4dMVSK9ApOJq7wei5qGabPiTKEviWd9xrkezgjPwdF69ah2xaHqU3lyN2zWZrLaRjNTphsTmwruk38Xuz06SKibhfdaxoMytzTWkRlUPrOffTRR54/qmNw01G01R4VwmD1SqjTiE6saJ+i41Jebo4sJzUchq1Ifk7dL/9FWOj7w9GkLOaNQrNGmROiFyVwuaxw0oiDSavQrTVKWLXnZMIQnLz11ltB/5DuhGbsjFdI2PiTX/4azY2NsGl1++6OPvT1klDOhRrNKdCaMgGtrhgcc6YgM2l47n7+RLGfVMvAIMnRi1SLd5WuYIpMCzuNPcK/hVDeK61a5sQWb3ZnTtwtxNNTxJeLgoVAwQnhLzhRWROFyp74y5zQWZZadGjKKvniqIFa0ZA5UfdJLchE/ILgUuye9+dEQeEOuFxbsX3HlcjN9ZSuCgv7UFv7urheXv5ndHYe9yrp1NbK+npe3vWIJvJiPGfMlj7vjM/NE9KRhVp0G2LxNO6APf0C4eA5EDXdWjCv/f5MVYPInsyZI6cQ6zUT+swJZQ/1eiai3WBFX4EMfO8szMQSewIWJ8szV5vR4Dew8svhd+VlwTLgqj8D1z0HU6ZuAnKCBfGLgxiYJxYpGwyaiV0gFmiv0ZVkQUKMGedoLbaHattEyTgiWOOB5HzMwy6xMB9p6EUdtQuf+mXgvB8Ci28HlshAQWVO0qFNoJ94utdT0Xf46hs/h+vv+FI//dUHjfI7f2ZBDmJnzcSLSz3Z9LSbP4+EfE13keCAoWQlTrnwdvF7TNMhoXOTG8blEegGGZyo/YU0YQRZB5BeSZDiEeu2Zsi260S0IjNFfm9pdASRZ7fC8ptFwN+uAH5/LqxZMjDtds50B0vkBUU/gt5O9HXK7JxZE2O7Myf1LlTjr6ju+zMcmUvcwYmtmIOTsGlOSAREnQ7BOlMGc3Y6Vtm4aRO6WxowzWTG+WfNg/OFCuG0Wl/RDlu8CZ1aK2jJ9GlAlVy8yZdhONDCR4u3PgOwrbkNoBlAWvZGjz1F2/mNTqTlx6KhvEtkR/SZk4z8RBzf1yi6deorpfivYHqqezGnhYAOQP4+c3/BiRJ8KqdUClZokfEXnBB0QKMASOlOKLCNlJA61OBEveak5MG7WXzbUW22FphMDrf3R1Hx66iqWgOXy4iU1HfEMZdKNjSjpqzsZ5g58yfivscrnhGBDQ3oS4gPrbsk0ugX+LOTYrCpx4V6mpRK6X17Arqtr+LR7mvxsWEFHuk7A/9wuYSOJBAnemTWpSTOhiOdPaI8VNXdK3RK3/72t71KJ/qOHRIuklMvlYDq8ovxUnw6uh0mIMYES68T1+XJLNft+RnY2NyOmQmxMAWhFxLUSL0Mlt0p2mgJs07cKp06h25+50thjBVJRiNa4MSUGenY5+yFzUZOxE7ho1Ls6/cRLtInw978FiYZjuCgayK2ZlyNc1Z/1yujoS/ZpqFJtvHm9tcRfnZvOfa3d+G1hVOEl0xlUyecZgN2tskM6oqURPFc67LmI6lwP87PtSL9zrvgTPsU1X//GEkFncCpd2leJDaZsWo8AqSVAEc+kCZzpHUhz5IQoJIq7Te0z5BoVwS7VBb6zFOiu6mlJ5eGvyERbZjT9QFewVy3K/HEenLg1TI4bTWwbfgigO+g11UC5/FdMDicqPvDbvTWdCDry/Ng6ipHn1MTw6bLz8ycHgtSa1PGzQEZsLS8VQlnaw9gMrgnoDNhyJyQwY86mw7mh1Jr45XjWsZioqUF1y0tRKYmmjpxpAV7tx+Cy9QLIyxYPt+T1s1MHFqnjsK37k7s75YH+Fnx/Z+bUq1Wi1xQll8rzxjqK9uEOLZNm7Kbnp/oLuuo4ES9F5U1ocDEX2eJCk702Q6VOVFnvep3f2UdQgkglZCX6t/K3TKckGBP39YbSubEN6AKRG9vI44f/yOSkqyIi290d6xYLGkwGnuQmFgPe0oVXK79MBptYlIwUV3zL7S1HYDT2Y3KymfFbXl5NyDaUO3ExDn5uTg1Re4nsUYjZiXEYkVsFb6Kh2FDH95rdojAYCBqeuTZbK7NiglaVkZ59vhqOvRlHdKbEAnTZmJdziQ0JCSjnQzCyOm91wSrpnu4MMOOP88uwmPTg5x6TfNkarX22qyZXtkSS34izFlxYqR9OKH3uUTTnWzNMuOm3UdgmZse8dKO0G9Q5sYlSzvbWlPQ56P7Ur48JJZNWXwNcNFPvfQmqlNxa0uHKM89erga+6pbcMaP3sat/9kpcrXkCptls6C5sxetPQ78Yt5VKHzicRhjY2Feei3yljciaeFkOffGaAIypsonPrFXZk9ee1D+PudqaaYW4rZVZoWqDCif6yqh/WjVjklJZgeWdL6Fiwq73PtdEQUm864HrvyT+N3UsgUmMQLAjJ62DHR+sg/dh5pEoNH2YaXIuDm0NmLVpUNZM6UrMcTI42f7BnlsIy1SOINcnOzBySOPPBLSk99+u0zTjTcom9DXJQ+8ca4uNDfU41jvRjSl7EBVWZMo+RAZCROQn5YgrLaJ4ZZ11AH63XffFd0fdOA4ZpTPvTDdv+FdYlKiu7RDxmx0xDi6sw6OXnnGm64NlKorl3OAjCYDkjTxlzpr8lfS8e3YobQpzZNRj1EtixRo0N8CZU7OPPNM3HHHHbjpppvcCnh6f+HG1+slFM2JCgoH4+jRp3Dw0EPIL9iO+Lgmt3273b5Ae54TyMiQ7Yo5OVciI2MV0tJWit/r6t5CY9Mm9PY2wGrNRHqaR7sVjZmTxfZ4LNcW1UU0GNNoQGHBrViVkYMzU+XtmwcLTrSyTqbN7NasHNOma/uiPgPK3FJw0mMy4/fJE9DudGFpcjym1fXCvL8ZN+V6T9c+Jz0ZRcGKYRtKAUe3zBDYPQENlTgz75iLrLvne80/CRcLkuQCRv4nRL3dApfNiD/WNuDa7aVidlbYSZdZuck4jERTDzq6uvs5J5eVlbm7VswXPOyZ8aPjA91Aw3+faMLvd1QIY7qdvfJzJD8X4pg2L4hO0NxNAdMvBq7+G3Dds56MTaZ2Mle7V1roV++ULrhnfXNIb1MFJ1QG9LUPcB+TSqS2a+HR3+IWPIvL8CoKqTRz/o+AGZeKwIlentUqLSFa+q5B81ueE7K2DZVwvvdrt8eJOcVznLdfUozEM/OQ9eX5ostLq67DVjz0uVgnCyGVdUL1VwiXH8NIQeIpcjGdOnXqgCZXdIDUn9fRPIlaak2zAWVHD6EWR4XKirIHFIkvK07Df3ZWCcOm4UAqdHLnpBQlteu29/SgIUX6CCzL9m92RZkKChjoi5hdnCyEsXs+rHJbmMdrZlFkvEbYs+Jg0vwsBtKbqGCJFg1axPUaAApaSIym2j8pe0JpeH/BCW1n1c1Ctu00SI+yJ/S/A/3f4QQn9P+UANe3JXu4wYkyTktNrRaZESIhYarQ+5DGJCm5FsnJMijKSJf187S001Ff/zYaGj9Eb1+j+zYjjXePMuwWM+6dmCWcTktibSKgoDPm89Ll9klPP0v8LD52Aq81VIoz6oE4oWVOMq0W2GgwG9pwrMu7i8xfWYfYWzgV5Q4XJtgseGrWRHQW9mJDWT0un+tjjBUKqqRDC6TP91/sJ6HZpATN6vRk/OhINWYnyCBlW2sHek5JwzvUxt7Qg9frW3B5VkpEMicmuDB/ehHe3VUh5j3RMZCCFLKfV8EJjcMIxAdNbW5dD+0XL3a2i/XXoRkWnqPtGyo4UeZ4AtqmWunMjQpOjn0CVErvFKx8EIgfWpcataJThxsJe6kcqPcmcX+/86cDqXcCH/8aea4K5JkbgCteBqzaa73wJ8CLdyJx4hR0vdGLHsds2lVhNDTDiHb0deWivW82HIZcEXzoJwdTEKICERLVd26XGXfWm4xgt8544P3338ezzz4r2qIHQt86S+jLECece+AwdMPgNGPhChm1/+Dy2Vj7X8uEOdtwoIWdZn9cdtll4vcPjpQLr4lYRy8KAvg4KJEavWYKToiK/XIRzCpKQqw2X8V9f03EFUxwQgdsle2gtKkaZkcKfvqbKtWoMzJKD6s5Mv6goEa174n2xjCighM6WAVrxBZqcNLVLY2dnM5jSE+XmZP4+CmwJ8vMSVpaNczmVhiNMbDbF4vbUlNkHb25ebPInojbUr07IqKJ+4ty8D8lueLzpfLJlwoyUeKz7y3UMgGbW9oHdOJVmpMsq9ltFX9MK+v42/dVYBtPA/6KZPr/KxOzkWG1oCAtDlctyhedckOmZk+/ks5IQJqY3ctn4eUFk3FPodw/ae6O4kNddiJskP19XDqQOw/zzr5CfJ7UQkvzcSgoee2119wttYFGJdBnq0Sv3588Qfi0NCeZ4SiIB2wmWJwuLNHKbeUN8rtWoA9O/JGpDYok0SkN56MgatGtw3qr6juvjmcKr2zuuQ8BXysD7tkJ3LvH7eUiSC0GbnoZ1pWXI+OsOhi1zqUk09+QYJKDDlv71sDhTOmXOdETv1AT1bPeJCg4ONGh9BHqjCEQlSek2LXR6dkJxQLmApwmeXC1W3MQpxmuJcdZsGhialAmXsFA3QwUdNQlyIh8oqsv4HMrXwwRnJR41OEUmJB9uRr+pkjNiQs6OFGvhaBUO5kx0etYvHixV0uoCk707rCBIBOk4QQn9Dqo60eV1nwPRKSfUeZrA+lOKLviFsQGG5x0yeCE6OmpdWdOyIxMZlLkYpxiXwwTCf+EgLYYNlu2MF1zZ15SAs8OGQvMSYwTGWwKPo5rpZsByzoUXGhlnfIAZR3SPFGZmEqA59z2RZS7jOJs/eKMMHY8nBid4ERlpUg8TJmGXK3rzqiVXj/SshNhJSZZLsQ3vQp7Sqp78rNClM56eoThnb6l2+s+HV3iM44xGnBlVirmmeVn2DdVfibGum7ZbRMoc+KPDB/X1fMe7qdzCZVAZo/9Tj7i06TVf1zg45119mxk2e5EuuUbiDe9jPhFeTCbTsAJKicaYLAYhUbJHzRvJ+m8iUi9agrrTYKAgxMdqqef2l8HOuOr0MSwDaY0OUac0pfnnIOUWI9YbkpJ4Lkpw4VKE6TpqEuQB4GpuhZPX9Tro/dG3iVTlmRh6tJsXHrPPBGYxMT7ZE5ytNZGlyuo4ITOSijjoTxKKG2qDgYqc6K3rh8MKqkRym8gVGhqLz2ONDn0nteuXYunnnrK/V6ozOVPWOwL6WfoPVEw5Svi1dPbS/4svXA4OoQgVo/ZbIfVmgGj0YqkRBnEEalpnnZMen7qzFFQIGO1eusmxhqxJqPIBhBbBtCduDMnNk9wEihzQtDnQCXA52tkVuqctGQk+7TPDwt3WUc7ex8FKED5YckEmCraYdlYKw7QNLywqjvwdhkyVLbQRKY0vJK+r2SeqS99UNYkUIlb6U2oZTvGZERyhZaJ1LJXzuoObDrSgK5eB7aVNwWXOUnOB6za923K+SG1DwdCHb8GzJwES/oUmGwOxJi2w5CYDcOFDyHjwYth1eZTUYdOoBMwuj3pzHzEzR3a8NeTDQ5OdCiXUlqYBhpGV6/t5Ob4RFx77bXih8ob0yfJBcjgsGDe0vCffVHAcLSzW1ySG2N9svzSLUgNfPaoz5xQzXz1TTOx7MpCPPn04/jXv/4Fp8sBq6YkJ1K14IQWeBKy0hdqoNZx+rvKnuiFsATpTvRf1IEWeQX9r5ycHPEeSVsTKmryMWlcaBQ6ZVDoNpqYql6Dr6GXP9Tf6P6BZuB0d9figw9Pxfbtt6Crq3+HEWVN1PtP1kSxRFqqzjFSV9oR11M9QwTHMguS5H60paV90G6dLKsF+VpZh1qJuwcw4+tzuvDPGhkEXpkdRh1Gd6ucHjtKmRM9q7PtsB9ohaGtD1O04YMRKe3ooO/qLbfcIgSkK1Z4yooD6U3UazotJRHdfQ5s31sHY7UMUAwuypx04Vsv7sa1T23A3qoWMdBv8cRBdGQUCM26QpqlUaklDPjLnJC2RnXvBZsZla/PBORr5ojU/my2CQfZjC/Mhv2SEqRcEV3t/2MZDk4CQGfulNqkM3H9gkUBTGuz1omRmCIWf3W2f8qimUhsmoas3nnIKgy/wc7amkYs2bAXPz9agyaXATVaWee8YjkmPNAXkxbIgsJ38fGG89HTUy/Gg1ObIL23P/3pT7AkuNxdCXat9U0FZ+7JpgMwd+5ckf6l1LDKlqhWZn1KONgzFHXmFmpphwIqFVRQQKG3xFeW//rMCQ2spA40X+O4YNuIW1t3wunsRGPTBnR0SPttKtEoEhKk6JCw2+WQtNiYAsTFedfwU1M9ZZxo1puEwkLNXGxLAFFsu84dNtNqRrrFLFqSaU+s7ApcCnq/sRV1vX1ItZiwMjWERWUwqHWVoEVxgLT+SCC+r2ly+00yye8eaTv++4WdePT9Q7hoywG8oAVokYDKsXTCQfu+Orb5Y0drh/uzpjEebd19yDnRjTijESsS4xALAw6daMOnx5qQaDPjTzctFtqgQbnkl8BX9kifkzCgn36uMrwqa0IaODpOhQS1VF/2W2ApeZ/A3TaccGourDS2gAkL0dcSECXQmTZpT+gMnlrpaHGjOQ1kENXXKc8Y0tO9D2I0ev6S61ciOSNWLPTDxbeb5LU6WYZ4+ngdEkykswfmJcaJgWyK1ta94ky+oPALKMi/SQQWqamJyM6mQXQuHD78K5SVebxXqIRF2jsLimHPjIXJYvQqeQRjuEeL/X333SfSv74pTTrQKcFwsMEJ6U4ocKCZTfquHRLdfvjhh7jyyivd5Sp/WRMqM1HnD41yp4PsunXr3Peh16CEsGoIHwVr+qBKf5bl63qpp7PzmHuKcH3DuzpfEzva2vYhIX6qV7Zk6tTvISlxdr9tZLNlIS/vc+jpPgF7snStHOuo9tidrZ1oEMGE96GmRivp0ORfmtirWpVpFg6VdgK1//6fNmH7ogy7aF8OG/WlXl0sow21slK2Ia1bnji8VduC5k+OoXdeKpyZsWjYX4GdG6vwX2cUD9uiwB+XX375gPqwxt4+VGiaoelxMfjGe1Iv9cX5BbhmWSFijEY0TS/EC1srREnnSysnYUZuKBmK8J030/FJ36VHx7RQxe5ekMuszmmWiQycOfGhoEBmIUjcqXQnNDhKBSqi1OBywuEyIDez/xnW5IVZIkgJBD3H747XYm21d/3Tl+u2l2L5J/tQ1tHtfpzyjajv7cOjh+WCf3Gmd/Bw5Ohv0d1Tg+pqqSInMjMdMFCelRbwyr+jskq26J11lpyg2eqqEe2uSm+iD05UCWQwKAjyV5vWL/rBlHXk680UWRg6mFCQQlAK9pVXXhEOjhR0+IParFWKmsps1NlEl/phefQaqCRGt6suBH9TkYMLTjwZF9VpExOTi8mTv4ncnKuQne2ZrEoH+rwJ1yEpSXZw+TJ1yrcwe/avYTSOjymlhbE2zE6IFa6vqgzjv6TjCVo8HTv+24l7nS68ogXoF2eE2Sei+bhH8xAFFKbL4M7U2COEvyccDvTNsIvABJoO5fcfHsaTWlAQbgYTru/W3F8poNx4sA5lte1IjDHjmsUFItikCczpCTZ84fRiPPbZ+aEFJmGGjkvqe6x0J8rVOli3c2bk4eDEjwuuL7QjV9d4z3xpddmQlxJEitKHTc3t+MbBCtyz71hAc6Xanl681dAqDkBXbDuEwx3dYqy8OtsU/19LiV+k61bo6alzz2xpb6fgSt4nJcVTr3a5+pCbu0GkM0899VRRjnG4etFraXbrTYYSnARCdeyEKjxTgRNlSyg4JF8XlekI5CCrMifKdVahn9FCwQn90CgGev/+hHJBByddnuCku1vaXsfYcpGasgzTpz8Mkyn0/WM8cW2ODN7/VlmPTodTlCLqtH34hE5vohjMiO3jpjY09DpESWeZPUjPoLZaoM9/sONFiwpOhuGTEkYKU+V3saq+Aw8WSaG9I9/z/YTVBJfFiP0Rml48GHu04GRmfAwee0dmna5fWogEW3Qm4311J2rml/74xEQXHJz4MGXKFPcZvtJakD37/iPH+wUnuXZ5FhMKTx6XEbvDBext954MrNjT5rmdBII37CwTQQ2RY/MczE9JjEOBrqRTWfU8XC550Hc6u9xn9rFx0pelq4vaBQ1ITy9HSUmceH/0fomEoi7MWJHrfi6lORlucEIHBfUcoZiqUfZjxgzZNfHcc8+Jco5Czb/QQ5mlwYIT0qHQPBaFej10wPLtzgqlrKOHMieM5DNZKaLNlPbzczcfwBf3HMU3Dsrv0Qlt7EKmbn8erGPnJa2kc0G6XZyZD8qxDcDPZgLrbh78vs1y30FSlAQnmjbjaEMHbp2QDtuJLvcBO1EzSXTFmXFglIKT3doxytHUje3lTYizmnDTqdFb6uDgZOzBwYkOc2IjGrpc4oyaFsfVq1eL2+nMvatFLlaHHFLrUOtMCDk4obkhL9d62ld3aWcfvuzUhGbL7QlIMZtwqKMbPz1SI247Nz0Zp2u24ZfpSjqke6is+If2mzxwt7fLbhejUZY76mqL0Nkhg5GsbOnpoIKTTnMdElI8gU4ompPB0sPXX389brzxxgEXen+sWrVKBBPK4VYFFlQvpo4qPRRMkZaEUrjKdElfJqIaOmVL9J03FDTR66OuJH3bMpWTVHAW6DVTMMPByeDeHTTfhiAtidJNtfU53GUdEsMqijWdya5W7+/FoY4u3LX3qLsUelFmEAEzzWX5z1elHf2hNwBHYJGtoEULTpKj40xatdweb+iUM3Z2NMBW2YGHJk3AKZqexxlvRk1Lt5hbM9Koss6GbfJE4YHzpkVE+xKJ4IS+6+r77Xsiw0QPHJzoyMgsxdrNx0Vwctttt7mNiShzYoQTfS4jPuwtwr+7Z+CgIRdp2sycYPnD8To4fb7gPT0NOHDw+6ire9vrduL0lERcp80KUQd3Ehr+cnohfjw1H5fF7UVp2c/Q2rYPu3Z/BZ1dx2A2JyIjQwZV7e0HxSLa2yvr0idOWFFaKmeGOBwfCI8Oeo+0YFNpY/369SJDQYtzuMo6SqA6UEtiICizceedd2LRokWiDEVeMirb4Zs9UXoT6g7y111EHUXK4E1B91PvT1/aoUCIOn0o0AkkmCOTNRrUR18hmi6s4MyJN5/T9l8KQshqnubHUICibyNWUKnGajCgtLMbB7SsosPlwtXbSrG2ulE8dmZCDJbbgygPbv49UKMNe+vrAmr3BZc5iZLghE58LCYDehxOvLyzCgaHC8s7jLgpPwPFWrY0PlVeHjoxstmTHqfT/fl0N3Zj0cQU3LA0yOGKURCcqJIOHZdiYqI3oDrZ4eBEh9nWhec2l8OhDeD62XsVcOo2UbsxDi4Y0OCKR449PiTHVwoS1tbIBXCNNieDzhBpCm15+R+wfcet2Lb9ZnR1V7szKrMSY/H5CeleHxL5R2TbLDjXshV7dn4BR478Ghs3XogTJ/4Dg8GCadMedht+tbUfRHd3FRyOVjidBnR0JKOxMRM9PRlwubpQWfWcWPSVZfxHH30kAhQSnKrW23AEJ8OBNDEXXnghHnzwQRFgqNZkX92JCi7UMMJg8RXK6Us69N4DeZyorAkFI+TySlCQQkP7GA+L7Ql4dcEUvL1oGq7WNCgvnGhyO8GSO6wi0WzCCi0r+KomfH27oVV0hVAG8V/zJuH1hVMH7tIhYevL9wOv/4/83awtPhVbAz+mqwXobo6qso7JaEBJhtwWSvS6oFDuq5O0cQE2bS7WwUhOL/YDZXJ7qAza60RMrws/vGLO8MYGjAB6IzbWm4wNODjRERfbgYqmTrx3sBZbjzXir5+Ue1nUTy6cgKQYeVYeakmHtCO1PX00VgF3FMgFbF97JxqapTlYB2LxYf0JfLDpWpRqWZKsro+FGn6ZVR6cEtGGolgrmpo2Y9fuL4tSTlwcZXeMMJniMXfu08jKPB/xmr8GZU5a26R/g9VaiKVLV+Cmm27G7Nl3i9tqav7tFp+St4gawKe6YeisYqBZOKMBGbT5y5yoNG2oZSi97oQyZHTgCkVvEhubj4SEaW6Pk2gc2DfaUBkizWrGZZlye75R34INmoZqRoL3mev5msBblT//XiX1Uldmp2KpPQGmwU4I/nwZsPEJoK8TKF7pmcuihsipLMnBN/qXdMjS3Ta84Zzh5NsXz4TVZBTZE2K+Fpyo8ldfrNzXRNlnBHmvWn42htZefP28ae4gKppRxwU66VKjLVgMG93wkVSH3UrThp34yev7UaiZIPVaEgCH1IDMmVSA8xIS8Nzm48hPDS042allQ6bExWBqfIzwd+hwOLG/pRZbcSFeMn8OTQ4T5vRshZNsjl1NqN5/B2K77sA53W9gI76DRfgQfX1zcOTIY2IWS3r6Ksye9ZiwTReD2KyyZTYhXroUdnSUorVFWnKnp52CmTPPFddbW+XC0N1d4667XnPNNaIz5vnnn8fhw4ejImvij0CZk6EGJyoAoWBn48aNomVZlX+CaSOOjclHbNxE1NS8JDp1mMBMiY8RZRklpvzepAmYnejd0XRuWjLux3ExmZe0V8rbR3X+DNqZU0/TsQ3A9c+LUffY86L8W6Uuc/LcjUDFZjFXBoXLdGLY6CjpKJaVpOEX15yCO57ZCovJiPn5KnMig5MWo0sM2zs4gmUdp9OFp7eXA6kW5BhM+HwUi2D10ElWSUmJsIhQJx8cnEQ3HJzoMBqcmJDUjl0VRuyqkCY9q+ZPxq5Nso04KysTX52TjxiLCTct9z+pczA3xdmJseLsb0Z8DDa3dOAnvTfiuKEQ0LqKdxjkNMxiZxloivyRo78B5UZ+g1sQgy60tZ2J5haZbSmaeKc4U7fZvEsZMTF5MBpjhXtpdc2/xG0JiZ55GSqIIb0LZV+UZkJ5vKjOlWj0AFCZExLJkkW9yuwMVSOjMid6q3x1ZjVwG7HKnBQgM+M8VFf/Czm5a0J+PycbXy7MwsNlVfh6UQ4u08qbeqh7Z2FSPDa1tOPq7aXoc0mjwenarJ4BqdLcnNMmAZPOltfVdFmaONzbBbTXysBE3Z+CE3cbcXQFJ8T5s3Pw3O3L3ANEibwYq9DmUGnFGGsa0bIOeatU9lGnlQXXz8yN+nKOnquvvhovvvii+H5TuTjUEjAzsnBZx4fbl3vO5BYXpWJWiceUibpASJH+3UtnoShd5zkQBEpHMjtBPr8ajCYCE+0s8pw0j/hyRcVepDV4WipTY1KEKPdE7Wvo62sWw+Rodos/DAYj4uNL3OUHmoibnqYdrOmwYlGLghO9vZ4ZQrSw6wWg0Zg5oTZv5ZeiSjsUTA23rOOPoDInsfmIiyvE0iWvIDeHg5PBuDQzBRuWzvAbmCiu0GbmkKcJQbqroFClm9x5ntvIVC0uHXD2AjW7gQOv9neFdYtho0Nv4gtNNKcfBZ3cTNREsdROXN3ShZYBLP/DxbH6Dvzotf3ifxILMsaWVTvZ1FPHHg03pHlogQYaMtEBfzo+rJzsREmGDDy+cFqxOFNXk2lDMREjy269dwbZeKvMiT44Ia6I24cv5GfgoSl5Yr4IMavtIGbua4UducjNvRrZ2ZeJ25Xza2LCTBGgBCIhXupODAYr5sz+LeLjPd0y5EJKE3OVcZselT2J1uCEoDZvQvmaUFtxnzibC92OWh+A0MGKzqj8/S1wcBJ4rhEzNG7MTRMi2mfmFOOFeZNwVbAD/iq39Q9OSKOifqfSzv6XPX9rKPXWnESJGDYYVGknIU1qdkYie/LuwVp09TkBLTgh/dtYg47lNNxQf5xjopNxEZzQWTPNvVG+JMOhr6caf//CUvzt1iVYPSNLLNDk0XHDDTcE3Z2zsakNMz/Yhf8trXQ7vpLDKzFLC0pokqcZDkx27cNXc6XgjcSvT82aiJt79uL8ug9g6XNhQeNUTJ/2A7fosq9PzYSYO+BroIAmOWke5sz+DdLSvKfgepd2pOBwLAUnyptABSehDCn0hcpCyj+FhpzNmzdv0OCEsk09PbLUx8FJ+DEaDEJEe1ZakmgvDrorzp05OcX7dlXa2fJH4PD7fjIn0VvWCcQ0TUhsyZDHk8N1gac/h4va1m64Yk1wGQ3CUn+CZprHMJFgzAcnZGtODqK0QPmzIQ+Vru4KUbpZPsmTSqYZLL7GXgOxsbldDOV7q14GEhtqZPdLUazFPeRsYqwVvzXei2/iW0hLnuV+7Kq0JPyg/HewaU6vqN0vLhITvD06BgtO7PaFWLhwHdLTV/r9u9WaNmYzJ0rIpoKT4RrGqfk/ixcvxvz5892zOPRZFD0NjR+Ly/j4yWLIHxMFtNYArXQyYACyZSu9m1M+C8SlATW7ZHknXtMaNJdLa3sVnIyhzAmZMRL18TJYqGryb+gY9uBEy5oUxtgG75ximJM5OKHFhAzThmLy5Y+uLi3FOwxUlqS0oxtN7cfwVuk/xe9FOKL7P+WIcxyHxWD01o6QsyXVxhX1h0giL87QjcaYoIOTwXAHJ73emRNqJ6aghOqz/ib/RlNZh7ZhXd3uIetNFJdeeinuuOMOEYTSkEDanyhbFoiGBnn2nZqyfEj/j4kASgxLU4V924FTCoEbXwRitP1jztWANUEM8ETjEZ077NgJTuYkxIpMq8MAONNtqGrxPwojnNS1dcMVL4OT4jjOmjCRZcwHJ+Gmq0uWYoZDRbcUslKx5pWdP0SpUx70sjrfQUeHbNOtrpYtjjSllgSrbhrKgN4OwBwL0IRaut5yXHTUqCCGBK3DLSeo4KTXp6xDWYObbrpJLNBxcdE5uI78VzIzk3DKvJexY+c1aGqqGFZwQhkS5fGi2pUHsq1vaJBzflJTVwzp/zERwJ/eRE/2bOCml4FldwIrvgKkaicz5Rulg+wYy5xQqetCzRPGkRWL6uauEc2cFOlmejFMJDgpgxNqQaX5LPoffXDiOwQuVCp0yvk9HX3Yb5CD50pc+3Dw0A/hcHSg/PifxG15E27wfnC1ZrmdNQNIkx03qJNtrgnxMjhJSpoTkjutP6wW/5oTtchTBiGayS9ohsXSA5erA13dm0asDNXZeRRdXRQsWmC3L474/2OC4Phm4NO/+Neb6MmaCZz7EBCf7vlubfmDvEyZSBbRY2pzX6zNLXJmxqCiZWSDE2UExzCR4qQMTh5++GGxkKkfpTkgHA7q/PAEK0OhUsucEB9hBZqRjBgjMNlQirq6N7B5y5XCOC02pgCZmRf4D07oTC9dmqmhVgYn2TmfgcWShtycqzFcApV1xgpJSYfc102m7SPmy9LQ8IG4TE6eD7M5tHZyJgLsWAv87hypH6G24VlXBPc48kIhKrbIy1ljrw18XlIcMkjDZjbimEEzSooQdMImyjoqOOHMCXMymbCtW7cOzz777KD3ozkrpDUZKvT4e++91/07ZU4oQLE4SKzqEroTi2VoZ+HtDofbn4HYbZDivGX2RMxI+zoOHPgu2trkELKCwi/0tzsn0R6RNQtoJR+Pl9yZkxT7Ipx+2kaEA0+3jrcgNpohw7iurmoRWDkcMiAh4uOPwGhcFJHghMpwBw89jKKJd4kSnApOUlNZbzLqnNgHvPRlwOUAZn4GuOhnQGyQ+0CqljlRzL0GY7GraXFyPP5T34JWiwGdPQ7EWv3Pghou79W1oNNiEN06BGdOmJMqOCGDHPqJNNQ+6m9mjK2XQhMpik1MnDGk564MYIa0IiUR+Xk3Crvz3Xvug82WiZxsP2d5anpq5gzApnl2aMFJOPF064ydzAmVxMrLf4/k5IVwuWiicwIcDgNiY1uRmloZdFmntXUPtm+/FUXFd2NC7sBZqMOHf426ujdhgBGzZz+GxqZPxO0shh1lejqAtZ+XmiyaoXPF70gwFfzjVVmHyJ3vyVKOMSbFxwD1LSJoIDO2UM0hB6O9z4H/PliBZ6sbgBVZFBEJL6Zs3cBGhokEJ2VZJxAxnTKw2H/gf3Hg4PfhdHYPuVMn39IDI53RaZymTVul1t7TVnyCRQv/BZPJJ0DStzXSwTNjSsSCEyoPqczJcDU2I0V9/dvisrlZ2o/n5lyI9na5jbKzq2CxBHfArK17E909NTh06Ifo6ws8l4Q+/7r6N8X1xqaNIqihkp/JRIZ8nvZvZhTY+xJQuxeIzwQ+82RogYlv5mQMZk0UEzXtB5Vbwt1OTMeFa3eUycCE0KzqyXxtuJo3hjlpgpNweJxk1rSJzpnu7mqUl/8BtbW6yaVBUtEl9SY5hjrkQnaR0Lh3Zb6mHFpNJu9prAJqa6T2RmpzTMjydBTQPJDu8DpAqrKO09klBLqjQShBERmfqU4nmhtETJy4BmetvE9cT007DocjOFFgd7ccGkiBRnm5FCb7o6HhI3fwQiMDjh//s9tDhqcPjzLU1UZMPR9I8HRaBU1cqtR1kedJsDqVKIT8RtzBSZg7dup6+4RnE4Uh9yXZYToqj0GL7dE/hZgZ+4z54KSsrAyPPvoonnjiCWHI9sADDwjtylDIbOjF6TOeQ1bWJeL3pmZNLDeENmK7oxwFmq/J8pQEUR8O+oCbWiRtt2mEu/JmaDqKcGIyxbl9U0ZDd1Jbux7vvjcHx8q1bolBaNGGHcbGTsSSxf/BKXP/KESp6emLxDRgKvPU178T1HNR8Kk4Vv77ftmTxqZNaG3bhxO1r3prlWtk+3dKytKg/g8TQdyurh4xe0jQ9+vm14E7N8nunTEKmTkSrhgTKlvCmzlRXYeZVjMyulyw7GvGOdUOfH/S2Gm5ZsYuYz44IfO1+++/H1u2bBFn4o888siwdCum9gakp0lX1ZZmzQ57CF/o5L5SnIX1mBZnwX/lB3lmp+y09SlnanEkGsMbnFBaVmVPeke4Y4eGEe7e81WRsTly5LF+GQ+nswdV1f9CU5M2PVaUcqSPRXLyKWLQXlraadr7MCIr6yJxvbrmpaD+f3d3jfZYi8iIVFQ8o3tt5di69Tps3HgRamr+LW5LTT3NLcglUuxLhvX+mTAQjknC1jggNsi5PVFKts0CEyUgjQYcCnNworoOc21W1LX1uMtI5jE0iZgZu4z54CTstFQhOXmBuNratgcOR+eQMidpqMP82Da8s2QmFiYHKVJTg8j0Yj1yt4xA5mS0RLFOZy927voyHA6ZIqaW6hpdUEEGZxs+OR979tyHrZ/egLY2ad/f3CIDRZoX5EtW1sXisr7+rQE1JArq+CFIoEyUH/+zeF3yOd7T7PNcIkiyWFJRVHSX+7GkN0lIGJpYmgkjY3AeTiSgjGyaprc50umxMAgHSj83IcYiPE6IjAT2N2FGBg5OfGmpQExMLmzWLLhcfWhp0XxHQuzWoeAk5EXMX+bEXujRo4SZ0Wgnbmz8CK2tO2E2JyFPFxxQ1qut/SC2bb8VnZ30Xg1wuXqwZ8/XhDBVlXWSkvubbCUkTEdcXLEIJgbTCVGWpq9P2t0XFHxBCIOpzFNb+7q4raFRur9mZJyLlJRlmDzp60hKnAOTSQaYdvsi1puMNqRVcgcnXGKYoHXOVPbKydzhQunnJtisqG2TwUl6IgcnzMjAwYkvrVWi5EF6BqK5eYsoMTQ2Du4vQgusypykow4xMTmhfRpKc5IW+bIOYbWMfOaktXWvuKRJycVFdwvdS1vbHlRWPou9e+4XAQmVUZYtXS9s+lvbdmP7jtuFeJXuq1xy9dDnpbInx8p/N2CXldKbkKiWgrO8CZ/VHvcHUbZp1Ib6FRbejvnz/oqcnCuEgFm5wbK/SRTQ0TAmLecjRZHWsdMoMn5D4/W6Zsz+cBf+fUIG7vrMSW6MRRiwEZw5YUYKDk58aZGzdVRwcuTo46LEsGPnbe7UfyDqex3ocrronB8pqIfNFvwkY/R2ec4GU0e6rDNymZO29n3ubAdN9M3NvVL8vm//N9DSugNmcyKmT/8h4uKKMG3q970G7SUl0hwi/+3CEyZcJ4KZtra9KC376aDBSUxMtghq6HEGgxUtLZ+Kz5qCIHoNST6twlOnfAuTSh5A3oTrwrQlmCFDbrAEdbSNMcv5SDA9Sc7A6jAb0KUzgAyW5t4+3Le/HLU9ffhzRV2/LDBpTlRZhzMnzEjBwYkvrVVewYnSRpCWgRbPgTjWJb/AdkM7LOiDzZY9+CdA3ibbnwWO03wYlzRe03cP2Cfq2ozD60cSGysDn6rqF0R3ykig3HHVEMPJkx5EkZZBIaZM/hZitO2WmXke5s37KxIT5WyijIxzAj6vzZqO6dMeFtePHXs6YKZLiWHVZ2OzZbiN2Mq0oIbKOTRoUQ8NWiwsvM17SCMzOrDexIupibK13hVnGlI78Q/KqkRgQmxuaUe3U2ZgVBY412b2ZE64rMOMEByc+NIigxNyiCXxI0GiSKKx4aMBN+a2FukXMtEgz+yCCk62PQO8cBvwN5lBEN4m+rZjO7VKGqQTZnt4MxzUMm1PXiQCsO3bbnaLTyOFw9GNjg5ZukpImCYuabEvLvoyTl32FhYu/Cdycj7j9ZjUlGXCsG75qe8jP//zAz5/RsZq5GTLx1dXv+D3Pl1a5kSf1Zo06X6RqfH8T542HNVwcBLQiO1ofXu/zVXa0YXvHqrECa1Mo2dvWyf+XCnLuuT8SpnfLc0d6HO6UK3dP8FlQK9DnhilxcvWZYaJNByc+NJWDTj6YDRaMXfu05g169coLrpH/Kmh8WN0d9fi0KFHRMupL1u14KTYuVtcxgRT1qnSRr33dfbXmxCUtk7KjZDXiQ1z5jyB+PjJwjF146ZLRElEtcyGm46OQ+K5zWa7EBzroWAhOWmu38dRuzCJlOlyMNLTzxaXra3yMwhkwGaz5Xh5vsyc8VMYDDTNwYDUVA5OxkQbcdLJ3amjKIjRAgazEbtq+3erPVRahd+Un8B/7TkKp0/2dT1Z3wNYlZaEc9PluIwPmlpR09MrFCxmA3WwyWNTUowZMZbIzO5hGF84OPHCJB1a20+4B+1lZZ6P1NRTxe/NzZ9i956v4OixJ3Hk6G8DBiclLin6tPoswH7RJg73m5aqJ4IdOzTgcN4pf0F6+irRnUS+IxR8ES0tO9DZqS0EYSzpJCZMi5j9tbKVb2s/4FcY6ynreH82SUlzMO+UP4tgjXxUmCiGMydexJiMsDvl9+ntFpk5aWjvEfoTyoC83ygDlo+a2vB7naaE+KRJ3v/0lARhFinu19jmFsOmm8246xnZxr+0WGrUGGYk4OBET2KWV2lHQa6kVKKhThLVzdHefsjrPg29fSjrlIthCQ6JUlC/2Tn+qNNKKRf8GJh7LTBfttd6kRK54ETpLubMfhzTpz3i7njZtOlybNpMP5eFrZtH6VpUSScSxMRMEJkZl6vXb5mqW/M4UboWPSkpS5ChZV6YKIaDk36cEytFsZssDuw90YqlP30b9zy3HdtaO9DqcAoLeuKh0kpR5iEoi7KpRWrqltgTsMKeKK5vaenAIe0+jfWdqG/vwawJSfjRlf4zmwwTCTg40ZOoLVitsmNHQWf5vpblas4L0et04VOlN7E6kIC24PQm7fVABy38BuCUzwKXP+7fVEq1E0egY0f/HnNz16Bo4pfF70r8SyZph0p/1O/+La27UFPzfyHNx2kbgeCE3ofqtKHXWFHxD+w/8B2hd/HWnATx+TCjS1+Px/tHDwcn/bgmJxWGjj70mA24Zs9htKzIwv/F9uHt+hbx9wsykkV2pNPpwpf3HoPD5cL+9i609DkRZzJiZnyssMLPtVnQ63Lhn9WN4nG97b0oyYjHX25eguRYnkTMjBwcnOih1kTCzwExNWU5KpELh1kuar29DWIY3R17jmLOh7vwJy1dOtMmz0SCaiNWWRMSvZKVdiBUWafGv44inJAbKpmTZWVehBnTfyxuq6pa67aSdzr7UFb2C5FZ2bX7buFDEgzCZM2nUydSqO6euro3sP/At8XAvgMHvyNawXt6asXfODgZA6z/FvCr+cB+3YwjRy/QWj28uTrjkMnpCTCXyvJNDZWmKbZLseLxcrm/n5maiJ9OK0CiySgyIz8rq8InzbKkszApTljSU2B/dprUnbzfJI9jlh4nHr9+AVJYCMuMMByc6CnQZqZ8+It+nTFvOFfga4Zf4S+Jj7kXtprWMrx4ohGNfQ68rp2hTLP41zT4pVYLTtIHWayLTgfI36NiC3B04I6h4UKiU3JFnTXrF8jJuRy5OVeJ2w8c+C5cLqdY5A8f+aVm8S5n0QQDCVEpoKNdLj5+SkTfQ2KSzJzU178rdDQEmbyVllGw5RLCV+XxwkQp1M66Sxvguf8/Pj5ELoBKpmN4YF+4SU+wIrmhB6bj7TBXd8JULgOPdq0t+PSUROTFWPG9ydK07sdHavDEEXmsWpzsmTJ838RsEcAoLp6ciclZstzDMCMJByd65n8OyJoFdDYAr37dffOW5nZ846DUobzVBPQ5MsT1d+pqoHXYuZlsOBJQ09CPOk0MmzFIcEIW3fOkkyne+SFGkpKSr4mWasqQHCp9BBUVfxe3x8TIs9aebikeHowGrQ07KWkuTCbpaRIpfA3U1OA+8j9RgWMwnT/MKFKzC2iXZ/049onn9mMbPMLxCImqxyKU9ShOj4dldxPM2xtg3t8MdMmuu6JYKwpjpf7t0rRkGKs6xKDAwz1S9LpEN/uLBgl+s0TrDqS/5SSP+HthGIKP0HpMFuCSXwK0cO1cCxzfjHaHA7fsOoIeTVtBX/dP6+QX9v1m+eW/JNOOKXExmB4fgzzH/uDLBu7MSRCZhBX3AkYzcPhdzwF6BLBaUzGx8Hbd4u5CdtalSE8/U9zWrZVJgpmpo3xLIg0FTmaz/Ixo5s7cOU8LLQ2Ve8j9NTvrkoi/BmaYlL7lXf4ky3pCZVNm8GfoS1G6J8gwOFywHGgWxo1XZKV6NmVbDyw7G2Gs08zaXC7M1xxmFWvS7TDWdpGYDsvTOWvCjA4cnPgyYQEwXTvwHVyPt+tbUd3Tiwk2C740QY5X/8B6qvAG2NAh67NrslLw9uKpeGvRVPT1VIYenAyWOVEdO3Ovkde3/wMjCZmfWa2Z7pk0lE2xab8rDcdgepMGFZykLh+Rs0ga0EcU5N8iBvUVF9+NxYv+jTNO34aSkq9G/DUww0QfnBDlG2WAom6f6W3Wx3gHJ/mpsTBVdWLS9mbcO9FTYianV4MLyDzQKktA+1vQ3e3ta9TY0QPL1nokvleDIs19lmFGGg5O/FEsswI48gFer28WVy/KsOOaJrnAfhI7H2UoQY0zCRaDAcvtCTAZpKAskI+GG8rAvP0w8NI9HjOpYDInRKG2sDd6OoVGAjIpI5t56ioqKblPDDRUwUowZZ329oMiiCGL+uTkeSPwioFpU7+HObOfQK5mTc+MEagTh/Rex2TLPvK1LrnyDcCeFwFnH5A9G8iIrG5prAcn1ywqEJcVJ9q95u2oGTmF9jgUVXbDfLQNB2q8jdvq23pE63F6vDVifkQMMxgcnPhjotQoOI5vxpua0HV1WhImb/k1praXoc9oweOQLbeLk+MQb5auiQ5HJ/r6ZDDjNZG4qxk4vkVeL/8EePeHwJY/yN/jM4A4T9p1QNwTiiPjdzIQ2dmXYOWZe1CQf5P43WqTYsRubWgg+b4EGiDY0PihuKRsxkjNprHZMpGRsYoPrmOJneuAn80CfjwFcPTIbpx518u/Hf0Y2PGcvD5rzai+zGilON0jbF01PQvpCTZxLnSgRnbeqLKOmi48RRO6HtSCk46ePpnlbJf3SeUOHWYU4eDEH2Qhn5iDT+NLxKThJJMRS7b8WIj0LquTE3IrDdKPZHmiZ0x5Z+cxd6ZBzeURvHgn8PRZshyz7W+eGToJ2f5N1wZrKW4qFxb7Iw1Z+is8ZZ0TomPnk40X4dNtn/Pre6JmEo2E3mTcQEaANBTyZKFyG/Dil2QnjhqfMPkcoECXOTlG+5EBmHn5qL7UaGVSZgKykmxCGEvXp2XL4OOZT47iN+8cQlt3nztzkpFodQcnFLy8uqsKM771Gv6xqdw95C8tgYdcMqMHDRNhNDY3teGspCTZBTDxNLzeJkWVKxs2wrLt5+L6FwuzkZfZiw+OP49OiwUXWabB5ZoCp7MHe/f9t7hPYuJszxl7Tztw4DV5/c3vySwKccmvgIkhznBJzAFMVnlW2VLhcY4dBaxW2bFE7rFk6y8dWfehrX2/sKdX9PY2u/UmKSOgNxkXUHfKHy+QGqNLHxvd10KB8MHXZRBNgvFIQN+RZ28A+rqASauBs/8HqNoOTL8YiLEDcWnSrNASD5z/yKju99FMrNWE1+85Q+j5TUaDCE4+OFSH5zbL8jGVnmvbutyZk4laGYjKOhVNcn7O+wdrMTfPLq7zkD9mNOHgRMctu4/gueRkLKLWuokr8HqlPLM4p/IVWX656GeImX4xrnT0YsauK1GdYUJ5KVBb8aTQU9BgO+oSmT7tYc+Tlr0LaO6kbo0JlWcK5LyekDAaZfak/qAs7YxqcJKqJd6caGre5L69tna9V3BSWbUWTmcXEuKnIjFBmqMxg7DpaamtOPLB6G+qN78L7HwO6O0ETr1z+M/X1SLFrcVneIKdXf8Emo/JQX5XPA3E2oEcnVX6+Y8CZe8Ap3+NA5NBSI7zBJDnz87BXz85CrPRKLImB0+0oa1LZlzTEz1lnf01rejpkxngisZO5KXI7h0OTpjRhMs6OtodTly7vRR72jpxKOdU7EsohsnVh5U9R4Fb1sszOcJkwSQswITKTphcZnR1HReBicFgwuxZv/IeHHfwtf4TVOdeJwONoTCKuhM99F6tVqk7aWz0+FDU1a53X6cJxBXHZRkrL+9G1n8EQ3crsO//POLQUSjfeVGvzZDa+9Lwn6vyU+DxFcDfrgA2/95z+5Y/ysvFX5CBiS+z1wCX/poDkxBZUJiCvd89Dw9dLn1/jtV3oFYr2VDmpCQjQSSJmzp60dEjS2kVTV1CEEukJnjKuAwz0nBwomNxcjzaHE785Eg1XuqWZxWnt+5G6mefAVKLvDacbe4tmHaoHSu2dmHerKcwY8ZPsGD+P7xbZUl/cVBbrC/8iewysCYCp1w39E8sEkMAaREkV9zOppAeZtNKOx0dHrt/Mmtraz+I+vr3hS9KZ9cxmM1JyM6+NHyvdzxDQUCvnNMksidUvhtN1P8nIXdbcIZ7fqEM4u/O8cyHolIRUb0TqNgsHZBpvhQTVqi8PDFNlm+O1LfrNCc2UQYqSPX2OCG9SaVW4kmPZ80JM3pwWUfHt0tycfH+Krxa14ztrXKBuGThBUCGXIS9mHKuyGKYG48g9dgRYOHN/l0u6eBuiZPtyUWnSZFjsN05I5U5IdfZT/8ixYbLZRdSMFhtGYCnEQA2W46wqd+48UKRNVHk5lwJk2mM+yXsWAt88DPg6r9IwXSk2C4deN2MZvmOBu+5AxJq+3g1NAG3PhtEYlfSSpGPkBjD8LGck7PlT/I+0y4EEvx8z5hhU5gmA5ATrd2wmuX5KHXyEJMzE3G0XguGNXZVSl0cd+swowlnTnRMTYjFqfYEYUl/vKtXeJicn5kSYMuZgMXSORUbHpdZEj3HNwP/d6+8XnQGYIkBrPHDC0wiNaGYgih9Cj9EUSxB82oK8mWARoEJBSpkVZ+WdgYKCm/DmMbpkEPoTuz2dFtFAgoEDstuMGRMH/3yXSuNbNDt1/t0M25C4Y3/BZrLpV7qxheB2FQadyvdjnc8K++zULaoM+HHHmdFUow8D1XaEsqcEFOyPF2FSmPSqulS0risw4winDnx4eYJ6fhIm8h5Rmoi7JYBNhF5MLz9A2mvTc6Vk86Wtx94HXjmKm1AmRVY+sXwfWLhzpxQUFV7YEgBjyrrELGx+cjLu0F0OsXFThRBybiZX1P2NtAqnX+FmDNSUImD9hky5aNOrtq9oxuciCF7dJSIkZ00pW8D3W2ATdcmPxA0dO79H0uBL0GjIWyJ8r3t/bcM3rtbgLTJwMTTI/c+GNGZs+O4zIjEWkyIt8nj2vScJHeQkpMci3cPeByf07isw4wi42T1CB/npScj1yYV75dm+hHn6YlJ8gzk++Rx3Vn2/8hFZuqFwF1bZGdCuFBeJ9RaSZ0P4dCb0Fks0SR9WoLFapNeJ0RcXAmMRoswaUtPXzl+AhPiU122pGKr/IwjgX6cQTQIn5XehEoxyQWy6+y4pzMrIPWlwLuPAr9bDbz9kLxt+d0e52Wasq0PhpfdMXSBOBMUem2JypoQ58/Kxt1nT8aja+ZiQop36ZUzJ8xowpkT3w1iNOB3s4qwoakNn8kKUNLRs/g24JMnpMCv7qAs59Tuk/4Ml/3Gf/fBcKCAiNLiNDmZDu6xKcCm38mhgCvukaWjoSyIytOCznaDXCj0mZO4OG/B8LiB5rmo7hnaxhTIndgjxc3hhjJwRMa06ApOkiYAMcmy3ZdKfyUrAz+GnJD/fCnQo1mim2OlGFwF8arMqaD9d442M4qJGEoUS6TryjVmkxFfWS1HAXx4yOPwbDMbEWeVztcMMxpwcOKHeUlx4icoSBw55TzgwCvAK/d7SiQUKIQ7MFHQwkXBybPXy8wHdXUQ5Edx+RMeV81QFkTC2St1BskTghfEasTHRVAkOlpQhoT0EiTkzJot9UKkk6DsQSSCk9ooC06ateCE9geVLaIAPBBknPbXy2VgkjtfdqWRcNwu57y4SZ8MJGQBbTXAwlsAa5DfNWbIFGiiWN/MiZ48XeaEBLM8V4cZTTiXGg6UpoR0J2S0lpjrEctGgtxTPAsXBSaFK+QcEvr9r1cMvID4QlkePSGUdpSF/bjMnFAnydrPA1u1bpLT7gXyF8vr5UGUNoai/TmxV14nzYnq0KEgVLkKj2bmhAIKggwA/bHvZeAPF8jXmr8E+NxL0rfENzAhyFxj1XeAaRcBy8iynok0hQHKOnpy7Z7ghDt1mNGGMyfhgGroC24C6g4AhafKdstIng2u/p6cO0LeEPZ8qVEg/cnfrwGOfgg8dyNw65vBvQZ9WUcFJ4XLgu7WMRgsojsnPn4SxhU0B4lEmyRovvxxYNZngANaavx4BESx7bVAF/nMGGQgYIkF4tKBjjqg8SiQMwejGpxQ+YWo89PRRQLwf5B3j0sOzbzmb4OLZk+5Vv4wI4Kyqte3EfsyQRecsN6EGW04OAkHdCZ4sZy9MyLQgX/q+f21KGt+Dzx+mtREvPMD4JzvB9GpowUnOacAVds8mRMKdmjByZop55n4wWSKwayZv4DL1QeLJUIlrNFCtQyf+XVg1hXyet4ieUm6C9KiDLct3F8Gi8o5FJio6yI4OTI6wYkq6yTlAsmawzG1BJOVvXqNxN4XZWAy41Lgit9FbgYPM2QyE22IsRjR1esMmDnJSooRmrs+p4szJ8yow2Wd8URiticgOSqH7QUsWbz6IPDxr+XZOnXWqDboJk3j8N6PgCPva3NePJOXfcnMPBdZWRdiXEHdJsc+ltuFRg0oKBhJnyqvb/hN5Dp1FKOpOyEDtnbNgI0CExq+RyJvCkJo++gh3RMx5XwOTMaAU2xWYozf+9CwwOzkmAGzKwwzUnBwMt7ImjH4gkZW4rS4vv5NzyKoFl3KnNDis+G38nfStFDb8smEyppMWgUk5Xj/baWcPC3cYqs187qIBSeF4TfcCxbl62KyycCEsoOBdCd64SwTtXz9/Gm4YWkhVkyWM7EGKu2w5oQZbTg4GW+os+2BfFB8nWApMFHCRdI3UFaFOnd8F6qTAepKIb0J4W8GEpUuSMhJQdtLX+7vDDzcsg516iionEK0VmPUDNjoNVBgQpBZGqEXXNP7V5kTVfphopIzp2bie5fNQowlcIvwaZPTRWmHhgYyzGjCwcl4gxw4SUg5UPakoUxekqh2+iXSIEsFJ3SWTpOUydOD2j1Ha3EcLQ69KYWgJACdekH/v9NCTb4dlFGgGTFqWw4Hof3RghOVwSISsnU28mG2yadBj/46s+i10ByhXc97xLCK9En9gxPS3vR19r8vMya586zJ2Pm/52LRxDDqqRhmCHBwMh4ZTKvQeFhe0uJLg+yoOycxR3b/KM74OpA7LzKLYzSz+ffykibkmm2BtT05c+V1ClBCgQY/bntGGuft+bfU/1TvkN06ZFiWOd37/xCtNYM/L+mCyFo+GF7+qpwV9NhSYONT3tkfGu73z1s9lvP6Uk2an7IOtc4T8ZmBtxczpqBpxQwz2nC3zngNTmgMfcDMiRacpBZ7biNXWGpLpkwABSUrviIXMaJlnAcnJB4+9AYw4zKZNSIWfH7gx5ClO7UUU3Ayh+YohTB1+KW7Pb+f9U2gt0teJ1Gyvv1bZa7IrIwCCFVe0UPZj3U3y7k8FPhQxxa1PQeip122/hLkdkufsTXB09ZLrehEfIa8fbbuvZH/imonVq+HSzoMw0QAzpyM68yJFoT4aipU0JLqY5xGGgs6OyaXWZNZZlNOhszJS/cA7/8EeGol4HJK3xol/hwoOCFoXEEoVG6Tl2TUR5DwePcLHj2LHhWckP6Hyif+oInY5FhLg/mok2b/y4OXragMQ2W85ffI20gY3dmovR8tE0QmaXdvAyav8jyW9hcaAkgOsGoAIgcnDMNEAA5OxiMq6PCXOSE9BS12ZC7mqxE4/WvAXZs9HSPussI41py013ks/NUYALJUH4wJ8+UllWSo7TZYlF6DMiYUIJBwuaFUltTI6l2P2So7ZQIFiI4+ObJAlaEI5TIbCDKWI0hrtPIbUoBLXipvfk8+H3ndEHkL+z+Wyjaz1ngPuiTfE4LFsAzDhBEOTk42zYkScNJ0Y+MgtWV35mQcd+sc2yAvU0uA+Z8D5l4LTAvCt4VKYiSapbk7NTuD/38qEKKW72V3eW6nib00XM8XJYpt8xMglr4ptSokgD7tPk9LMulY/EFlnwOveYITCn5I3Ku0Nvv/A/R2ALYkj77ElyXaWIY9L8oWYncbMXfqMAwTPsaF5uTRRx8Vl6Wl0hzqiSeewEmNCk5Ij0Bnw1Si6ac3CWIWjvL4GM+ZEzJbI6iUE4rLL+ktqLRDWpWKrZ4yz0BQaYaCCYIWf9JwvPOwnJ8z4xL/j0nMAk7s9i+KJf0KMftKGSxZE2XJhVrF9cJaovJTOT27u0UGPMrtduIK2bVFU7Vf+bq8jTRHgSZTk1Nt4XKpTaGAhss6DMNEgDGfOXnggQdw//33ix8VlKxevRonNaRnoLINlSnUfBRFox8xbMDn0YITWlADnY2Pl+CEZiKFigpIgu3YUSWdpDw5gsAaLwWs1Mo95xr/jwmUOSGNCA3bI0jMSsGSCkhqdnvfd/+rwJMrPcHMolu8gw9VxlIZssECLZU92fIHz/5E74lhGCZMjOngpKmpCVu3bhWXittvvx1vvPEGysrC4D8xVhGdN4X+SzuqrJMSROYkNtXTXjyc7MmRDz0LaTRBnStV2+X1gqWhP14t4iQyDabdV5V0MrSuF6JkJbD6u7LE4o9Auh8yinN0A1mzgOw53u7ANFtJQZ1W/6Kp2S6ZIbn+eakt0jN5tZxqrfCnN9Ez9UJ5f9LLqEwQl3UYhgkjYzo4ITZv3uwViBQXy4yAPmA5KQmkO2kI0KkTKMhx606GEJw0lQN/uRz44wXAP671P9F2NKFOG8oukTBYvzgHC5WCKANFM2ieuXJwnxGaWq1vyQ0Gf8EJeZooH5KFN3tajDNnyssaLTihdl8KTKhsRAHM1X+Vlvy+LcmkPVrwOc/vg2VOqEy46Fbd71bZeswwDBMmxnRwYrfb0djYiPnztc4JQGRN9EGKP7q7u9HS0uL1M+5QwYfeMIsWK5U5Caas47U4DqGd+JX7gdK3PL+HIhwdyZJOwTL/HiKDQZN5P7tOdtRQBuaVBwa+f+0QghO914ni8DtSV0IakzlXe253Z060sg69prK3ZfsvlY8GMkkjMTAZqeUv9XzmAzH/RmkapyzuA2lUGIZhhsC4O6I8/PDDQntCgctA90lOTnb/5OcP4aw52sme7e2roc6+yXiLpu0qu/pQgpNAXhuBUB4g7pksUZY5oQGIQ9WbKNJKZEaCIE3HQAMXw5U52fi0R2tC2hVF5gyPELq7Fdj7kvydyjmD+bYkZAJ3bwc+/5/gXhdNaFbmc0PJOjEMw4yVbp1169bh2WefHfR+Dz74oFe2RC+Ovfrqq3HbbbcN+vh7773X/TtlTsZdgJI73xOcUBmAzmyVvoLmtwRrNa6Gz9EsFsqEnP+oRxA5EO2kRzjhMRd7/8eexTncUDsrLdL+WnEDQUMRyeGVKDlreP+fght6DsoSffhL4KKf9r8PucCq6cL6ycOD4esSS0HHgVfkbfrSigoYSEBL4lnyO1HBCbUNB4PenTYYznhABq1UWmIYhhmvwcmaNWvEz1ADm5KSkkEDE8Jms4mfcQ2Za1HaXbSWHpQLojLYyj0l9DN31fVz5IPggpNazQyMhLlqRk8kghPStfx6kXxPN78a/OMOvyf1JuRvEoz+ZjDIZ4SCk0//Cpxxf//SCG0Pcp+lACoUfYZ6HnKA7WoCqnbI50ku8B/k0Lam4IUmS5MAV5i7nYOIQHN3Prs2Ms/NMMxJzbgo6yidiQpMSAx7UnfrKNGiCkLIh0Nf4skJJTjRBLEKf5Ns/aGcSqm91T2T5aD3kLlw6UbIjp0uye01WMifRM2zCQfk/ZG3WHbQUICihzJXr/+PvE6ajlD0LaRrURkh6giq3OrtUOvLyv+WAQnNVhrI3I1hGCaKGfPBCbUS0w+VeSggoZ8nn3wSqak88ttT2lHByaehZ06ou4MMu5Q9uipNhBKcUGbCaJZ6l5Ywu83SwDtft9fBoACJ3FWJkjAFJxRwKGfZ2n3ef9vwGHDkfcASD5z3cOjPrfc6UZ4qgTpqyCTtTJ0wd/rFof8/hmGYUWZMByeUITn77LOF1oRKOuqHfh9IEHvSoM6uaUEjQSUtbiSGVWLZYIhPB259Azj/EY/5F+k1gg5OZgAmi8dXRV/aIav1YObS0H12PS99SYgPfg78dY3UX9Ts6t99Mxj1pTIDRBkGckgNF6o8pFx4ia5mObeGOO8HUkAbKuQSS1Bgp7JgA7X7Lv+K1MBQ6YeDE4ZhxiDjopXY5XL1+2H0w+l2ysm1BJVYyJk0VGyJ0pRNP+wtELT9lREYaV/U/yWoBZYgseZji4G3Hxr8f3/4c2DdzcCrXwc6m+RjDq2XzzGUzIlySiXjNX23SyS8ZShbRaUe6o6idt2hkKUFkxufktofCjBz5g5c0rv+n8A9O6RIlmEYZowxpoMTZhAoW6GG09EclFD1Jr6o9uPGQUo71FlC4k1aRFVQkj7JO3OiNB8HghCx7n5BXu58XnNG1bIt257xOJQSJPjt6Rg8a/LRL+X1xV9AWFHZIZryS1kdQp/pGIqXirKbh8FTnsuYPnhQRf9rqP+PYRhmlOHgZDxDixMJNQllhhaK3iRQcDKYKFZlTcjozRIjr7tFsVpwojIepM+gbEggqESino80K29+x/M30nEoHxWaJ0TdN0oI6guJcSnI+fddMrghLU2wLbbBEpMkDdnU6/bS+QQQsAYDlYKmnu/5PZAYlmEYZpzAwcl454Ifyw4RhWrrHQophZ7ghHQfv5wPPLYE+M993l04ejGsQt+xQ5OS9cPpBhqct1+byUNZGKJXy4wod1KCNDRqNo6/0g6Zxz1xBrD283Karskm/VoikVlwl3Z8g5NhbHdi6R2e68FMQGYYhhnDcHAy3knKka6fq/4XWPJfst11qKhhguSf8e4jQEOpzHzQnBd9h4pyhqWhdF7BiUFqJg6/K3073PfX9DD+UAMDT70LMJjk9QkL5bA6RfYsj8vrnhdl666esndk1iXGLoWil/1maMLUUEo7pDtpq9X0OYaBNSLBQMLdwhXSip7agxmGYcYxHJycDJBAcsVXZMfNcGagqLJO6dsyg0GlFJpLoybzEhQYUPBBFJ3heWysXbYkE+/92Pt5AwUnlPE49pG8Ti6kqrQx9xpZltELRmddAdiSZPfOHk2jolAlrXnXAze8AMwemtFfyB07KmtC1vFU8hkOlOUhw7N7doXHNI5hGCaK4eCECT04cTnk5dTzPK2qyjekegfQUQ9YE4C8hd6Pp/sTKuBQwQoFJ77ZDpUFITdUmrZL5ZJLfiXn2Cy8xTs4obIOdaVQdoV46yFZOnJ7mrwVHpv6kDInh8NX0tHbyyfw9F+GYcY/HJwwweM7LHDKeR4Ts6MfAb2dsoSiyhDkb+J1f52ok5h7rdSOkBeIfnqyYuuftPtdIy8pAKFgiLI/ZJ1+0c+BC38iS1fE0i9KQSqVm3Y+5xHgUimJdCbDGfA3lHZi1V0zHDEswzDMSQgHJ0zwkD9KXLq8TtqHiafJ+S5U3iENCQUoZW/Lvxev7P94EsiSMZi+60RlFco/kZcvfgn440Wy1ZgyDyarx53Wl4U3eQ+/Iy+WJV+U1/f8W16qrAkFJmQFH2lUyYVm/tAconBmThiGYU4SODhhhpY9IT0JlRlICzHpLE8Z5qjm0lriJzih+6rSDolbya9DObQeeA2oPSDn0lCL8N+ukrdTpiRea88NBiWUpedw9I5sSUdZzVPgRqWvnjZZuvItbzEMwzADwsEJExrKJ2Xm5Z7b1MJPZRhyQ6VMimod9mXGpZ6sCXmgqN8Prgc+/YvnfkrXsuCm0F5f9hxZ2qHAgAzeVJkpXAP+BoNKTqq0QwLdK54GjFqXEcMwDBMUHJwwoUEtyZ97yaMDISafCxScKnUdxLzPBvYQoUwJdcxc8Tv5e9ZMILVEBjUfPyZvW/olGWBQy3Cos28oOFCttuS/QoZrVFah/zNS0GumzNDFv/AEKgzDMEzQGFw8iAYtLS1ITk5Gc3MzkpKG2fJ5MkOdMZSxIO1HKLz5XeD9n8jrpDH56kHAbJPXh5J1oNIQaVcUl/5GBkwjBXUeUccSd9YwDHMS0BKBNZQzJ0z4oGxJqIEJoUo7BHX/kCcKiVeHWg7Ri3FpttCsz2BEoewNByYMwzBDhoMTZvQhnQjN4SHCEUhQm7HSvJDx2kh06TAMwzBhwxy+p2KYYWRc1vxBzsWZFSb31tXfA3Y8Cyy/hz8WhmGYMQZrTiJUL2MYhmGYk4EW1pwwDMMwDDPeYc0JwzAMwzBRBQcnDMMwDMNEFRycMAzDMAwTVXBwwjAMwzBMVMHBCcMwDMMwUQUHJwzDMAzDRBUcnDAMwzAME1VwcMIwDMMwTFTBwQnDMAzDMFEFBycMwzAMw0QVPPgPgMvlcs8HYBiGYRgmeNTaqdbScMDBCYD6+nqxMfLz88O2YRmGYRjmZFtLk5OTw/JcHJwASE1NFRvj2LFjYduwzOCRNgWD5eXlPAl6hOBtPvLwNudtfjLQ3NyMgoIC91oaDjg4IeGNUUpvKDBJSkoK28ZlBoe2N2/zkYW3+cjD25y3+cm0loYDFsQyDMMwDBNVcHDCMAzDMExUwcEJAJvNhm9/+9vikhkZeJuPPLzNeZufDPB+Pj62ucEVzt4fhmEYhmGYYcKZE4ZhGIZhogoOThiGYRiGiSo4OGEYhmEYJqo4KXxOHn30UdjtdnG9qakJ999/f0Qewwx/mxOlpaXi8oknnuBNGgLD3WdXr16N9evX8zYfgW3+wAMPoKSkRFwn46o1a9bwdo/gNn/yySfFfelxdHx58MEH3c/BDAxtt+eeew5r164N+vgQlvXTNc555JFHxI9i/fr1rttuuy3sj2GGt/3uv/9+r9/p/qtWreLNGiTD3WfXrl1Lwnje3hHe5o2Nja758+eLS2LLli283SO8zen+anurz2DNmjWh/NuTli1btrieeOIJsQ1pvw2GcK2f4/5oZLfbvXZMYrCD8FAewwx9+9F9KRDRP0YdtEtLS3nTBsFw9ll6HB2AeB+P/Dang7T+wK0O3kzktrm/kxw+8QkNOnkJNjgJ1/o5rjUnZWVl7lSeL2+88UbYHsMMf/tt3rxZPFZRXFwsLum5mIEZ7j5LKdurrrqKN/MIbHMqL1AJhx6v7rdq1Sre9hHc5nR/KlmqYwk9jzq+MOElnOvnuA9O/EEbLtCiN5THMMPbfvS3xsZGzJ8/v9+OzAeRwRnOPkvbmRfHkT22bN26VdyH9u3bb7+dT3oiuM2Jp556Sjw2JSVFaH1on2c9W2QI5/o5roOTQJAAraGhIeKPYYa+/R5++GFxAGHRWmS3uVokmchvc3Xgpn2aAnHa7o888giuvPJK3vwR2uZqe1NQQhkrEmqSsJNPNEeWoayfJ2VwMpQggwOTkdvmdCC5+uqrcdtttw3zv57cDLbNVYmBGbltTixcuLDfGSWXjCO3zel4QoEgBSXUqUP3X7BgwTD+IzMS6+e4Dk4CnREOdLY4lMcw4dt+69atEy2W3Lod2W1OpQX9IsmM3rGFApRA6XBmeNtcaSBU6ZLut2XLFrHN6VjDhJdwrp/jPjgJ9MUPVGcfymOY8Gw/dfaoMia0Q/NBOzLbnM5kaHtTmpt+6OySoOt80I7MNqfH0I/vY2g/50AxMtuc7uuvNExaHyb8hHP9HNfBCUFmO/qUKR149eUC2ojK/CvYxzDh3+Z0Jk8/VIunv9MPlR2oVsmEfz+nAwVlp9SPOljTdS71RG4/J43Js88+6/UY+iz0YnAmvPu5EiDroewJ7+fBM5COKlLr50kxlZg2nkopbdq0SRwgFLQA0u/KlTSYxzDh3eZ04CgqKvIrUjsJds9R3c/VwYMWTLqk4ITaLjlLGLltrtxKifr6ej62RHg/p21NAvu0tDS3xocWSxbbDw4FH+r4QEEeHR8WLVrkDuwiuX6eFMEJwzAMwzBjh3Ff1mEYhmEYZmzBwQnDMAzDMFEFBycMwzAMw0QVHJwwDMMwDBNVcHDCMAzDMExUwcEJwzAMwzBRBQcnDMMwDMNEFRycMAzDMAwTVXBwwjAMwzBMVMHBCcMwDMMwUQUHJwzDMAzDRBUcnDAMwzAME1WYR/sFMAzD+IOmoG7evFlMPKVJqDQpmaagEjRRdihj2BmGGRvwVGKGYaIOGmtPgQiNaCdSUlJEMEKj12kc+xNPPNFvTDvDMOMHLuswDBN16AMTRUlJibicP3++CE4Yhhm/cOaEYZioo6ysDMXFxe7rFJg0NjaKcg7DMOMfzpwwDBN1qMCEeOONN8TvHJgwzMkDBycMw0Q169evx5o1a/ppUhiGGb9wcMIwTNShunKIdevWiW4d/d84i8Iw4xsOThiGiSoo+HjggQfcgQm1ECs4Y8IwJwcsiGUYJqogASx145AIduHChSJLQi3Eq1evRkNDA/ubMMxJAAcnDMMwDMNEFVzWYRiGYRgmquDghGEYhmGYqIKDE4ZhGIZhogoOThiGYRiGiSo4OGEYhmEYJqrg4IRhGIZhmKiCgxOGYRiGYaIKDk4YhmEYhokqODhhGIZhGCaq4OCEYRiGYZiogoMThmEYhmGiCg5OGIZhGIaJKjg4YRiGYRgG0cT/Ay4C9MgglfbzAAAAAElFTkSuQmCC", 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", 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" ] @@ -1147,17 +1268,27 @@ "ax.set_xlim(0, 1)\n", "ax.set_xlabel(r\"$x$\")\n", "ax.set_ylabel(r\"$\\log(a(x, \\cdot))$\")\n", - "plt.show();" + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 55, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:8\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_99351/3442685433.py:10\n", + "\tDeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n" + ] + }, { "data": { - "image/png": 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", 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", 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" ] @@ -1191,9 +1322,9 @@ "lastKernelId": null }, "kernelspec": { - "display_name": "qmcpy", + "display_name": "Python 3", "language": "python", - "name": "qmcpy" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -1205,7 +1336,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.12" + "version": "3.11.11" } }, "nbformat": 4, diff --git a/demos/gaussian_diagnostics_demo.ipynb b/demos/gaussian_diagnostics_demo.ipynb new file mode 100644 index 000000000..336fd2210 --- /dev/null +++ b/demos/gaussian_diagnostics_demo.ipynb @@ -0,0 +1,1675 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Gaussian Diagnostics\n", + "\n", + "Experiments to demonstrate Gaussian assumption used in `cubBayesLattice`" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/gaussian_diagnostics_demo.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependancies\n", + "try:\n", + " import google.colab\n", + " import os\n", + " !pip install -q qmcpy >> /dev/null\n", + "except:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from scipy.optimize import fmin as fminsearch\n", + "from numpy import prod, sin, cos, pi\n", + "from scipy.stats import norm as gaussnorm\n", + "from matplotlib import cm" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from qmcpy.integrand import Keister\n", + "from qmcpy.discrete_distribution.lattice import Lattice" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/kn/fw6b89sn21xf1ws0p_5dpj6r0000gn/T/ipykernel_23890/268911109.py:3\n", + "\tMatplotlibDeprecationWarning: The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. However, they will remain available as 'seaborn-v0_8-\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
sepal length (cm)sepal width (cm)petal length (cm)petal width (cm)iris type
05.13.51.40.20.0
14.93.01.40.20.0
24.73.21.30.20.0
34.63.11.50.20.0
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\n", - "" + "cell_type": "code", + "execution_count": 21, + "metadata": { + "scrolled": false, + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5FUCIbzVWnSb", + "outputId": "3e6ba450-6f5a-40c4-9569-24e20d644b78" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + ".. _iris_dataset:\n", + "\n", + "Iris plants dataset\n", + "--------------------\n", + "\n", + "**Data Set Characteristics:**\n", + "\n", + ":Number of Instances: 150 (50 in each of three classes)\n", + ":Number of Attributes: 4 numeric, predictive attributes and the class\n", + ":Attribute Information:\n", + " - sepal length in cm\n", + " - sepal width in cm\n", + " - petal length in cm\n", + " - petal width in cm\n", + " - class:\n", + " - Iris-Setosa\n", + " - Iris-Versicolour\n", + " - Iris-Virginica\n", + "\n", + ":Summary Statistics:\n", + "\n", + "============== ==== ==== ======= ===== ====================\n", + " Min Max Mean SD Class Correlation\n", + "============== ==== ==== ======= ===== ====================\n", + "sepal length: 4.3 7.9 5.84 0.83 0.7826\n", + "sepal width: 2.0 4.4 3.05 0.43 -0.4194\n", + "petal length: 1.0 6.9 3.76 1.76 0.9490 (high!)\n", + "petal width: 0.1 2.5 1.20 0.76 0.9565 (high!)\n", + "============== ==== ==== ======= ===== ====================\n", + "\n", + ":Missing Attribute Values: None\n", + ":Class Distribution: 33.3% for each of 3 classes.\n", + ":Creator: R.A. Fisher\n", + ":Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n", + ":Date: July, 1988\n", + "\n", + "The famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\n", + "from Fisher's paper. Note that it's the same as in R, but not as in the UCI\n", + "Machine Learning Repository, which has two wrong data points.\n", + "\n", + "This is perhaps the best known database to be found in the\n", + "pattern recognition literature. Fisher's paper is a classic in the field and\n", + "is referenced frequently to this day. (See Duda & Hart, for example.) The\n", + "data set contains 3 classes of 50 instances each, where each class refers to a\n", + "type of iris plant. One class is linearly separable from the other 2; the\n", + "latter are NOT linearly separable from each other.\n", + "\n", + ".. dropdown:: References\n", + "\n", + " - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\n", + " Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\n", + " Mathematical Statistics\" (John Wiley, NY, 1950).\n", + " - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\n", + " (Q327.D83) John Wiley & Sons. ISBN 0-471-22361-1. See page 218.\n", + " - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\n", + " Structure and Classification Rule for Recognition in Partially Exposed\n", + " Environments\". IEEE Transactions on Pattern Analysis and Machine\n", + " Intelligence, Vol. PAMI-2, No. 1, 67-71.\n", + " - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\". IEEE Transactions\n", + " on Information Theory, May 1972, 431-433.\n", + " - See also: 1988 MLC Proceedings, 54-64. Cheeseman et al\"s AUTOCLASS II\n", + " conceptual clustering system finds 3 classes in the data.\n", + " - Many, many more ...\n", + "\n" + ] + } ], - "text/plain": [ - " sepal length (cm) sepal width (cm) petal length (cm) petal width (cm) \\\n", - "0 5.1 3.5 1.4 0.2 \n", - "1 4.9 3.0 1.4 0.2 \n", - "2 4.7 3.2 1.3 0.2 \n", - "3 4.6 3.1 1.5 0.2 \n", - "4 5.0 3.6 1.4 0.2 \n", - "\n", - " iris type \n", - "0 0.0 \n", - "1 0.0 \n", - "2 0.0 \n", - "3 0.0 \n", - "4 0.0 " + "source": [ + "data = load_iris()\n", + "print(data['DESCR'])" ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x = data['data']\n", - "y = data['target']\n", - "feature_names = data['feature_names']\n", - "df = pd.DataFrame(hstack((x,y[:,None])),columns=feature_names+['iris type'])\n", - "print('df shape:',df.shape)\n", - "target_names = data['target_names']\n", - "iris_type_map = {i:target_names[i] for i in range(len(target_names))}\n", - "print('iris species map:',iris_type_map)\n", - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "training data (xt) shape: (100, 4)\n", - "training labels (yt) shape: (100,)\n", - "testing data (xv) shape: (50, 4)\n", - "testing labels (yv) shape: (50,)\n" - ] - } - ], - "source": [ - "xt,xv,yt,yv = train_test_split(x,y,test_size=1/3,random_state=7)\n", - "print('training data (xt) shape: %s'%str(xt.shape))\n", - "print('training labels (yt) shape: %s'%str(yt.shape))\n", - "print('testing data (xv) shape: %s'%str(xv.shape))\n", - "print('testing labels (yv) shape: %s'%str(yv.shape))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Importance of Decision Tree Hyperparameters\n", - "\n", - "We would like to predict Iris species using a Decision Tree (DT) classifier. When initializing a DT, we arrive at the question of how to set hyperparameters such as tree depth or the minimum weight fraction for each leaf. These hyperparameters can greatly effect classification accuracy, so it is worthwhile to consider their importance to determining classification performance.\n", - "\n", - "Note that while this notebook uses decision trees and the Iris dataset, the methodology is directly applicable to other datasets and models. \n", - "\n", - "We begin this exploration by setting up a hyperparameter domain in which to uniformly sample DT hyperparameter configurations. A helper function and its tie into QMCPy are also created." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "hp_domain = [\n", - " {'name':'max_depth', 'bounds':[1,8]},\n", - " {'name':'min_weight_fraction_leaf', 'bounds':[0,.5]}]\n", - "hpnames = [param['name'] for param in hp_domain]\n", - "hp_lb = array([param['bounds'][0] for param in hp_domain])\n", - "hp_ub = array([param['bounds'][1] for param in hp_domain])\n", - "d = len(hp_domain)\n", - "def get_dt_accuracy(hparams):\n", - " accuracies = zeros(len(hparams))\n", - " for i,hparam in enumerate(hparams):\n", - " kwargs = {hp_domain[j]['name']:hparam[j] for j in range(d)}\n", - " kwargs['max_depth'] = int(kwargs['max_depth'])\n", - " dt = DecisionTreeClassifier(random_state=7,**kwargs).fit(xt,yt)\n", - " yhat = dt.predict(xv)\n", - " accuracies[i] = mean(yhat==yv)\n", - " return accuracies\n", - "cf = CustomFun(\n", - " true_measure = Uniform(DigitalNetB2(d,seed=7),lower_bound=hp_lb,upper_bound=hp_ub),\n", - " g = get_dt_accuracy,\n", - " parallel=False)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Average Accuracy\n", - "\n", - "Our first goal will be to find the average DT accuracy across the hyperparameter domain. To do so, we perform quasi-Monte Carlo numerical integration to approximate the mean testing accuracy." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 22, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 261 + }, + "id": "sr2HywjbWnSb", + "outputId": "95338665-30a0-465e-c309-edf3f66f9834" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "df shape: (150, 5)\n", + "iris species map: {0: 'setosa', 1: 'versicolor', 2: 'virginica'}\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " sepal length (cm) sepal width (cm) petal length (cm) petal width (cm) \\\n", + "0 5.1 3.5 1.4 0.2 \n", + "1 4.9 3.0 1.4 0.2 \n", + "2 4.7 3.2 1.3 0.2 \n", + "3 4.6 3.1 1.5 0.2 \n", + "4 5.0 3.6 1.4 0.2 \n", + "\n", + " iris type \n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 " + ], + "text/html": [ + "\n", + "
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "df", + "summary": "{\n \"name\": \"df\",\n \"rows\": 150,\n \"fields\": [\n {\n \"column\": \"sepal length (cm)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.8280661279778629,\n \"min\": 4.3,\n \"max\": 7.9,\n \"num_unique_values\": 35,\n \"samples\": [\n 6.2,\n 4.5,\n 5.6\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sepal width (cm)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.435866284936698,\n \"min\": 2.0,\n \"max\": 4.4,\n \"num_unique_values\": 23,\n \"samples\": [\n 2.3,\n 4.0,\n 3.5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"petal length (cm)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.7652982332594667,\n \"min\": 1.0,\n \"max\": 6.9,\n \"num_unique_values\": 43,\n \"samples\": [\n 6.7,\n 3.8,\n 3.7\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"petal width (cm)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.7622376689603465,\n \"min\": 0.1,\n \"max\": 2.5,\n \"num_unique_values\": 22,\n \"samples\": [\n 0.2,\n 1.2,\n 1.3\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"iris type\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.8192319205190405,\n \"min\": 0.0,\n \"max\": 2.0,\n \"num_unique_values\": 3,\n \"samples\": [\n 0.0,\n 1.0,\n 2.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 22 + } + ], + "source": [ + "x = data['data']\n", + "y = data['target']\n", + "feature_names = data['feature_names']\n", + "df = pd.DataFrame(hstack((x,y[:,None])),columns=feature_names+['iris type'])\n", + "print('df shape:',df.shape)\n", + "target_names = data['target_names']\n", + "iris_type_map = {i:target_names[i] for i in range(len(target_names))}\n", + "print('iris species map:',iris_type_map)\n", + "df.head()" + ] + }, { - "data": { - "text/plain": [ - "Data (Data)\n", - " solution 0.787\n", - " comb_bound_low 0.787\n", - " comb_bound_high 0.787\n", - " comb_bound_diff 1.63e-04\n", - " comb_flags 1\n", - " n_total 2^(14)\n", - " n 2^(14)\n", - " time_integrate 13.243\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 1.00e-04\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "CustomFun (AbstractIntegrand)\n", - "Uniform (AbstractTrueMeasure)\n", - " lower_bound [1 0]\n", - " upper_bound [8. 0.5]\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 2^(1)\n", - " replications 1\n", - " randomize LMS_DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order NATURAL\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 7" + "cell_type": "code", + "execution_count": 23, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "si6HBQIGWnSb", + "outputId": "ab0651a2-ef0e-4dc4-f305-8662daf9436f" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "training data (xt) shape: (100, 4)\n", + "training labels (yt) shape: (100,)\n", + "testing data (xv) shape: (50, 4)\n", + "testing labels (yv) shape: (50,)\n" + ] + } + ], + "source": [ + "xt,xv,yt,yv = train_test_split(x,y,test_size=1/3,random_state=7)\n", + "print('training data (xt) shape: %s'%str(xt.shape))\n", + "print('training labels (yt) shape: %s'%str(yt.shape))\n", + "print('testing data (xv) shape: %s'%str(xv.shape))\n", + "print('testing labels (yv) shape: %s'%str(yv.shape))" ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "avg_accuracy,data_avg_accuracy = CubQMCNetG(cf,abs_tol=1e-4).integrate()\n", - "data_avg_accuracy" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we find the average accuracy to be 78.7% using $2^{14}$ samples." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sensitivity Indices\n", - "\n", - "Next, we wish to quantify how important individual hyperparameters are to determining testing accuracy. To do this, we compute the sensitivity indices of our hyperparameters. In QMCPy we use the `SensitivityIndices` class to compute these sensitivity indices." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ + }, { - "data": { - "text/plain": [ - "Data (Data)\n", - " solution [[0.159 0.748]\n", - " [0.253 0.837]]\n", - " comb_bound_low [[0.144 0.726]\n", - " [0.235 0.818]]\n", - " comb_bound_high [[0.174 0.769]\n", - " [0.272 0.855]]\n", - " comb_bound_diff [[0.03 0.042]\n", - " [0.037 0.037]]\n", - " comb_flags [[ True True]\n", - " [ True True]]\n", - " n_total 2^(13)\n", - " n [[[4096 8192]\n", - " [4096 8192]\n", - " [4096 8192]]\n", - " \n", - " [[2048 8192]\n", - " [2048 8192]\n", - " [2048 8192]]]\n", - " time_integrate 23.404\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.025\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "SensitivityIndices (AbstractIntegrand)\n", - " indices [[ True False]\n", - " [False True]]\n", - "Uniform (AbstractTrueMeasure)\n", - " lower_bound [1 0]\n", - " upper_bound [8. 0.5]\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 2^(1)\n", - " replications 1\n", - " randomize LMS_DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order NATURAL\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 7" + "cell_type": "markdown", + "metadata": { + "id": "iOcaWLFdWnSb" + }, + "source": [ + "## Importance of Decision Tree Hyperparameters\n", + "\n", + "We would like to predict Iris species using a Decision Tree (DT) classifier. When initializing a DT, we arrive at the question of how to set hyperparameters such as tree depth or the minimum weight fraction for each leaf. These hyperparameters can greatly effect classification accuracy, so it is worthwhile to consider their importance to determining classification performance.\n", + "\n", + "Note that while this notebook uses decision trees and the Iris dataset, the methodology is directly applicable to other datasets and models.\n", + "\n", + "We begin this exploration by setting up a hyperparameter domain in which to uniformly sample DT hyperparameter configurations. A helper function and its tie into QMCPy are also created." ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "si = SensitivityIndices(cf)\n", - "solution_importance,data_importance = CubQMCNetG(si,abs_tol=2.5e-2).integrate()\n", - "data_importance" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "closed sensitivity indices: [0.15864786 0.74759984]\n", - "total sensitivity indices: [0.25307821 0.83668445]\n" - ] - } - ], - "source": [ - "print('closed sensitivity indices: %s'%str(solution_importance[0].squeeze()))\n", - "print('total sensitivity indices: %s'%str(solution_importance[1].squeeze()))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Looking closer at the output, we see that the second hyperparameter (`min_weight_fraction_leaf`) is more important than the first one (`max_depth`). The closed sensitivity indices measure how much that hyperparameter contributes to testing accuracy variance. The total sensitivity indices measure how much that hyperparameter, or any subset of hyperparameters containing that one contributes to testing accuracy variance. For example, the first closed sensitivity index approximates the variability attributable to {`max_depth`} while the first total sensitivity index approximates the variability attributable to both {`max_depth`} and {`max_depth`,`min_weight_fraction_leaf`}. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Marginals\n", - "\n", - "We may also use QMCPy's support for vectorized quasi-Monte Carlo to compute marginal distributions. This is relatively straightforward to do for the Uniform true measure used here, but caution should be taken when adapting these techniques to distributions without independent marginals." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "def marginal(x,compute_flags,xpts,bools,not_bools):\n", - " n,_ = x.shape\n", - " x2 = zeros((n,d),dtype=float)\n", - " x2[:,bools] = x\n", - " y = zeros((n,len(xpts)),dtype=float)\n", - " for k,xpt in enumerate(xpts):\n", - " if not compute_flags[k]: continue\n", - " x2[:,not_bools] = xpt\n", - " y[:,k] = get_dt_accuracy(x2)\n", - " return y.T" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": 24, + "metadata": { + "id": "_5zq7et7WnSc" + }, + "outputs": [], + "source": [ + "hp_domain = [\n", + " {'name':'max_depth', 'bounds':[1,8]},\n", + " {'name':'min_weight_fraction_leaf', 'bounds':[0,.5]}]\n", + "hpnames = [param['name'] for param in hp_domain]\n", + "hp_lb = array([param['bounds'][0] for param in hp_domain])\n", + "hp_ub = array([param['bounds'][1] for param in hp_domain])\n", + "d = len(hp_domain)\n", + "def get_dt_accuracy(hparams):\n", + " accuracies = zeros(len(hparams))\n", + " for i,hparam in enumerate(hparams):\n", + " kwargs = {hp_domain[j]['name']:hparam[j] for j in range(d)}\n", + " kwargs['max_depth'] = int(kwargs['max_depth'])\n", + " dt = DecisionTreeClassifier(random_state=7,**kwargs).fit(xt,yt)\n", + " yhat = dt.predict(xv)\n", + " accuracies[i] = mean(yhat==yv)\n", + " return accuracies\n", + "cf = CustomFun(\n", + " true_measure = Uniform(DigitalNetB2(d,seed=7),lower_bound=hp_lb,upper_bound=hp_ub),\n", + " g = get_dt_accuracy,\n", + " parallel=False)" + ] + }, { - "data": { - "image/png": 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", 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" + "cell_type": "markdown", + "metadata": { + "id": "hhZN1jHEWnSc" + }, + "source": [ + "### Average Accuracy\n", + "\n", + "Our first goal will be to find the average DT accuracy across the hyperparameter domain. To do so, we perform quasi-Monte Carlo numerical integration to approximate the mean testing accuracy." ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(8,4))\n", - "nticks = 32\n", - "xpts01 = linspace(0,1,nticks)\n", - "for i in range(2):\n", - " xpts = xpts01*(hp_ub[i]-hp_lb[i])+hp_lb[i]\n", - " bools = array([True if j not in [i] else False for j in range(d)])\n", - " def marginal_i(x,compute_flags): return marginal(x,compute_flags,xpts,bools,~bools)\n", - " cf = CustomFun(\n", - " true_measure = Uniform(DigitalNetB2(1,seed=7),lower_bound=hp_lb[bools],upper_bound=hp_ub[bools]),\n", - " g = marginal_i,\n", - " dimension_indv = len(xpts),\n", - " parallel=False)\n", - " sol,data = CubQMCNetG(cf,abs_tol=5e-2).integrate()\n", - " ax[i].plot(xpts,sol,'-o',color='m')\n", - " ax[i].fill_between(xpts,data.comb_bound_high,data.comb_bound_low,color='c',alpha=.5)\n", - " ax[i].set_xlabel(hpnames[i].replace('_',' '))\n", - " ax[i].set_ylabel('accuracy')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Bayesian Optimization of Hyperparameters\n", - "\n", - "Having explored DT hyperparameter importance, we are now ready to construct our optimal DT. We already have quite a bit of data relating hyperparameter settings to testing accuracy, so we may simply select the best configuration and call this an optimal DT. However, if we are looking to squeeze out even more performance, we may choose to perform Bayesian Optimization which incorporates our past metadata. Sample code is provided below despite not finding an improved configuration for this problem." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "best result before BO is 94% accuracy\n", - "best result from BO is 94% accuracy\n" - ] - } - ], - "source": [ - "x0 = data_avg_accuracy.xfull*(hp_ub-hp_lb)+hp_lb\n", - "y0 = -data_avg_accuracy.yfull.squeeze()\n", - "print('best result before BO is %d%% accuracy'%(-100*y0.min()))\n", - "result = gp_minimize(\n", - " func = lambda hparams: get_dt_accuracy(atleast_2d(hparams)).squeeze().item(),\n", - " dimensions = [(l,u) for l,u in zip(hp_lb,hp_ub)],\n", - " n_calls = 32,\n", - " n_initial_points = 0,\n", - " x0 = x0[:128].tolist(),\n", - " y0 = y0[:128].tolist(),\n", - " random_state = 7)\n", - "xbo_best = result.x\n", - "ybo_best = -result.fun\n", - "print('best result from BO is %d%% accuracy'%(100*ybo_best))\n", - "xbo = array(result.x_iters)\n", - "ybo = -array(result.func_vals)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Best Decision Tree Analysis\n", - "\n", - "Below we print the configuration that rested in the best DT. We also print the optimal accuracy achieved (at this configuration) and visualize the branches of this tree. " - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "O8NieG8uWnSc" + }, + "outputs": [], + "source": [ + "avg_accuracy,data_avg_accuracy = CubQMCNetG(cf,abs_tol=1e-4).integrate()\n", + "data_avg_accuracy" + ] + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'max_depth': 6, 'min_weight_fraction_leaf': 0.007127984848298143}\n", - "best decision tree accuracy: 94.0%\n" - ] + "cell_type": "markdown", + "metadata": { + "id": "UzUGPwzxWnSc" + }, + "source": [ + "Here we find the average accuracy to be 78.7% using $2^{14}$ samples." + ] }, { - "data": { - "image/png": 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Sf/3GTSDquSL/xSlVKiwsLCIdD/vU29nZOcp69m/Ko7uHsDifvok7pjw9D+Pn5weErurUrUvH8N6RT11QUBANmzRn0+Yt5MyRnQ1rVsa69+Dn9h15/PgJi+bNwdbW1ihxJUqUiA7tfqZT1x5s2LhZiYaIyDso0ZAvUnBwCABlSpUMT0SiE5sX5Vu3bvN905b4+fnRq3tXGtSvR4b06bCzs8Pc3Jyp02fyc7uOGAyGD4r/vwQHBwNQwD0/rrly/ue5uXJFfvE0N4/ZZmb/Ft0maFH1GMWWMdoIkzhxYgCeP38RZXlMN3P7t3fF+L7PNSzOJG/ijqnhQwcza/Zclq1YiceceXjMmUfePLmpX68O9evVJWPGDDFq59z584wcPTaWUUPNGtWpVeObWNcLDg6mcfMfWLFyNVkyZ2bz+jWkTJki1u2sWr0WGxsbfhs2gt+GjYhQduzESQAGDRnKxElTKFG8GENi2OuRPVtoAnr7zp13nCkiIko05LNx7fqNKMdwX79+AwDnt8fOu4R+uly3Tm2jzpVYu2Ejfn5+fFu7JkOHDIxUfvnKFaNdKzppXUJ7FsqWKcWo4UPj9FrJkiUlQYIEBAQEcPPmrShfXq9dvx6nMcRWihShw4YeRbNUb7q0Lpy/cJHzFy7i4hJ1L8TH9OhRaJwpU8Z8uBOEzgkqUrgQ4/4cw4ZNm1mwaAlr123g1/6D+LX/IIoULkj9enWpV+fbCPNK/u3evQfMmbcg1nFnSJ8+1olGcHAwTZq3Yuk/y8mYIQNbN679z9jexc/Pj1179kZbfubsOQASJU4U4zbDfm/ensMkIiJR0z4a8tlYsGhxpGPBwcEsXroMgDKl/7/D79eVKwLwz7IVsbpGggQJAAgKCo6y/Mmbl5Cwl/23vX79muUrVsfqeu8j7N5WrV5HUFBQnF7LysqKYkUKA7BoydJI5YGBgdHec4IEoUvkxnWM/+aeLx8AZ9+8ZP5bpTdL7b7PHh1x4ey50Djzv4k7tqysrKhRvRqL5s3m7o3LzJo+hUoVv+KI11G6dO9F+iw5KF+xClOmzcQnimGCZcuUItj/Ray/BvTrE6s4Q0JCaNbyJxYv/Yf06dKxbdO6aIfjxcR/xVbmzaT7xQvmEuz/ghVLF8W43aXLQjcNLFjA/b1jExH5UijRkM/GpCnT2btvf/j3BoOBgYOHcvnKFZyd00TYnK1WjW8o4J6fXXv28nO7jlFuRHfv3n2mzZgV4ZhzmjRA6HCSqIRNmF6+YhX37z8IPx4QEECHzt3C54bEJff8+ahZozqXLl+m/vdNuXUr8opPT548Ycq0mUZ5yW/7SxsAxvw5jmPHT4QfDwkJod/Awdy4eTPKemHP8tKVKx812ShbpjQABz0PRVneuUM77O3tWbz0H0aM+j18KFqYmzdv4eV9NM7jDHPgTZxhcX8IBwcHmjZuxIY1K7h19SJ/jR1NoYLu7Nqzl1/ad8Q5Q9YPvsb7CAkJoeWPbVi4eAnp0qZl26Z17xzSGKZZy5/IldedCZOMM2F956497Nq9N9LwxlevXtGzT19WrV6LpaUl7d783ouISPQ0dEo+G61aNqdcxSqULlkCJycnjh47xvkLF7GxsWHurBkRVmAyNzdn+ZKFVK9Vh6nTZ7Jw8VLc8uTGxcUF/9f+XLx4iTNnz5EyZQp+/KFFeL2iRQrh5JQK76PHKFy8NLly5sDKyorixYrSolkTalSvRv58bhw9dpzsufNRpnRJrK2t2X/gIM+ePad9258ZN2FSnD8Lj+lTqFWnPitXrWHjpi245c1N+vTpCQoK4urVa5w4eYrg4GCaNWmEpeWH/RmoU7smLZo1YdbsuRQpUYYypUuRInlyvLy9uXnrNm1+asXkqdPDe4PCpE+fLvxZ5StYFPf8+UmYMAHZs2WlW5dOHxTTfylRvCjJkyfjgOchXr58GWmScfr06Vg0fzYNvm/Gr/0HMXHKNAoXKoiZmRnXrl3n2PET9O3dkwLu+eMsxjBBQUHs2r0HW1tbvopiRasPkTJlCtr90oZ2v7Th8uUrLFwcuoGfKUyYNIW58xcCkCljBgYPHR7leSWKF6NVy+YRjt28eZPzFy5GubDB+zh+4gRduvcidWon8ubJQ9IkSXjw4AHHTpzg0aPHJEyYkGmTJ7xz/pOIiCjRkM/ImFHDyZolM1Onz8Tz8BGsra2pWaM6g/r3jbSEK4CLizMH9+5kpscclv6znJOnz+B5+AjJkiXFOU0aunRqH2mMecKECVm/egV9BwzioOchjh47TkhISPg6/5aWluzYsoGhI0axavVatmzdTpIkiSlTqhQD+vXmwMGoP0U3NkdHR7ZsXMuCRUuYv3AxR48dw8v7GEmSJCZN6tT81KolNapXi7Cnw4eYOmk8BQsWYOq0Gezdtx87O1tKFC/G4gVzWbtuAwDJkyWLVO+fRfPp1bc/u/fsZdGSpQQHB1OmVMk4TTQSJEjAD82bMfL3sfyzfCXNmnwf6ZwqlStx7PABxv41js1btrF+wyYSJkyIi3Ma2vzUinp1v42z+N62cfMWHjx4yA8tmoVPYo8LmTNnom+fnvTt0zPOrvFf3l6hbefuPf957r8TDWMrXaokrX/8AS/voxw7fpzHj59gZWVFhvTpaPBdPdr90ppsWU3T8yMiEt+YGeJy+RuR9+Dt7U2BAgU4fGBPhA3gomNhHbr8Z7B/1KsIiWlVqvIN23bsZMnCeRGGr5nSjRs3yZ47H0UKFWTntk2mDidadeo3YtXqtXgf2k/ePLlNHY68B++jxyhUrBReXl64u2teh4h8WTRHQ0Q+2OkzZ3n16lWEY4GBgQwdPoptO3aSIkVyqn5dyUTRRZYuXVrat23Dnn372bFzt6nDidKJk6dYtXotTRs3UpIhIiLxkoZOicgHGzFqDCtXr8E9nxtpnNPw9OkzTp0+zZ07d0mYMCEzp02OcpdyU+rbuyfzFiyi74CB7Nu13dThRNJ/0BDs7OwYOnigqUMRERF5L0o0ROSDNahfF9+Xvhw9ehzvY8cJCgoitZMTTb5vSNfOHaOcI2Nqjo6O3Ll+2dRhRGvlP5GXaxYREYlPlGhIvKe5GaZXrcrXVKvytanDEBERkU+I5miIiIiIiIjRKdEQERERERGjU6IhIjGWKZsrFtYOXLt23SjttWjVGgtrBzzmzDNKe3FhwaIllClfiSQpnXFM5kTh4qWZOHkqISEh791mcHAwk6fNoGyFyqRIkw7bRMlJnzkHNb6tx5p166Ot5+fnx+gxf1CkRBmSpnLBPklKMmfPzXeNmrBv/4Fo6z158oT+A4eQr2BREiVPjWMyJ7K75qNpix85c/bce9+HiIjIf9EcDRGRaLTr2IVJU6ZhbW1N+XJlsLKyYvuOXbTv1JVtO3aydOE8zM1j93nNo0ePqFazDoePeJE0aRKKFimMnZ0dt27dYtv2naRKmZJvqlWNVO/q1Wt8Xb0Wly5fJnVqJ8qWKYWlpSU3btxk1eq1uOXJQ4nixSLV8/I+SvVadXjw4CEZM2SgUsUKhISEcPXqNRYsWkylihXIlTPHez8jERGR6CjREJEY27JhDYFBgTg7pzFKe8OGDKJn9y6kdnIySnvGtGzFKiZNmYaTUyp2bt1I1ixZALh//wEVKldl5ao1jJ84mQ7tfolxmyEhIdSqU5/DR7zo0O4Xhv82KMLu7C9evODa9RuR6r18+ZLK1Wpy5epVhv82iK6dO2JhYRFe/ujRIx49fhyp3p07d/m6ek18fV8ya/oUmjZuFKH89u07BAcHxzh+ERGR2NDQKRGJscyZM5Eje3asrKyM0l7q1E7kyJ6dRIkSGaU9Yxo5egwAw38bHJ5kAKRKlZIJf/8Zes7vY2M1hGraDA/2H/SkWtWv+eP3kRGSDAAHB4colwIeOnwUl69c4Zc2P9GjW5cISQZAsmTJyJY1a6R63Xr24fHjJwwdPCBSkgHg7JyGdOnSxjh+ERGR2FCiIfKFOnb8BLXq1id56nQ4JE1FoWKlmOkxBwALawcsrB0i1Ylujkb5ilWwsHZg5649eHkfpWad78LnHuQvVIwZs2ZHGcOnOkfj1q3beHkfJUGCBNSrUztSeZnSJXF2TsO9e/c56Hkoxu1OnDwFgM4d2se4TkBAANNnebyp1y7G9e7du8+yFSuxtbWl9Y8/xLieiIiIsWjolMgXaPuOXXxTuy7+/v7kyJ4Nt7x5uX//Pm3aduDc+fPv3e6mLVv446/xZM+WlYoVKnDz5k32H/Tkp5/b8ezZM7p06mDEu4g7R48fB8A1V85odzQvWMCd27fvcOz4CYoXK/rONu/evcep02ewsLCgWNHCXLh4kSVLl3Pr9m2SJklC6dIlqVzxK8zMzCLU8/I+yqNHj3F2TkPGjBnwPnqMlavW8ODhQ1KlTEnFr8pTskTxSNfbsWs3QUFBFClUEDs7O3bt3suGTZt4+vQZaV1cqF6tCm5587zH0xEREYkZJRoiX5hXr17RtGUr/P396denFwP69Ql/ud1/4CBVvon8CX5Mjfr9D6ZNnkDL5k3Dj81bsIhmLX9kyLCRtPmpFba2th8U/7Vr18mcI3es6zVt3IhZ06fE+BrAfw4rSpc2tOzqtWsxavPkqdMAJEuWlMlTp9OzTz+CgoLCy0f+PpbiRYuwbMlCUqZMEamec5o0dO/Vh7F/jovQ7m/DR1KzRnXmzpqOnZ1d+PFTb+qlTJWShk2as2Tpsgj1+g8awk+tWjL+r7GRhmKJiIgYgxINkS/MP8tXcvfuPbJlzUL/vr0jfIJevFhRfm7ditFj/nyvtr+tXTNCkgHQuFEDRoz6nbPnznPEy5vSpUp+SPjY29tFOd/gXaJakSk6vr6+ANjZ2kV7jv2bl/oXL3xj1ObjJ09C//fxE7r26E2D7+rRt08PXJydOeJ1lPadurD/oCf1GzVhx9aN4fWevKl39NhxDh0+Qsf2bWnb5ieSJUvK7r37aNexC6tWr6Vth854zJga6Xpr123AYDAwdPAAvm/YABsba9Zv3Eznbj2ZOn0mqVKmZGD/X2P8bERERGJKiYbIF2b3nr0AfFe3TpRLszas/917JxrVqnwd5fHs2bNx9tx57ty9917tvi158uQx7pn4lIRNGg8KCqJk8WLMnzMzvKxc2dJsXLuKHHnys3vvPnbs3E25sqUj1AsMDOT7hg0YO3pEeL0a1auRJnVqipYsy7wFi+jXpxeZM2eKVO/XXj3o1aNbeL2mjRthZ2fHdw0bM/avcXTr0hF7e/u4fQAiIvLF0WRwkS/M7Tt3geiHBaX/gFWIwoYT/ZujQ+jEcn9///du+2MKe+l++epltOf4vgwtc3CI2Qv62+f90LJ5pHIXF2eqVqkMwM5du9+q9/9J+a1aNotUr2ABdwq458dgMLDrTRL57+u1iuJ6dWrXJHnyZLx8+ZJDh71idA8iIiKxoR4NkS/Uvycdh4ntBnTGqhtTPj4+dO8V+6E+JYoXi/KFOyrp06cD4MaNm9Gec/PWLQAypE8fozYzZsjw1r+jrhN2/N79++HHMrx17tttvC1DhvQc8fLm/lv1ws61tLQkbVqXaGPy8XkU4XoiIiLGokRD5AuTJnXo5njRvURHtWHcp8TX9yVz5i14r7oxTTTyu7kBcPrMWfz8/KJceerIEW8A8rnljVGb2bNlxc7OjpcvX0a5uR6Aj88jIHQeyr9jAXj0+HGUScOj8Hr/78XIny+0XlBQEM+ePSNx4sQxup6IiIixaOiUyBemVMkSACxdtjzKzeYWLV76sUOKlQwZ0hPs/yLWX7GZ15E2rQvu+fMREBDA0mUrIpXv2r2XW7dv4+SUimJFi8SoTSsrK6pVDZ3Dsn3HrkjlgYGB7Nm7H4AC7u7hx52d01CkcME39XZGqvfkyRO8jx1/Uy9/+PGiRQqT+k1SuS2K6126fJnrN0KTyoJvXU9ERMRYlGiIfGHq1alNqlQpOXf+AsNGjMZgMISXeR46zMQp00wY3aejZ/euAPTu259Lly+HH3/w4CHtOnYOPadbl0jDxSZMmkKuvO40a/lTpDZ7de+Kubk502bMYtOWreHHg4OD6fVrPy5fuYKzcxpq1/wmQr3ePbsDMHzU7xzx8g4/7u/vzy8dOvPs2TMKuOePkPSYm5vT68099OrTL8I9PHnyhNY/tyckJITatWqQJk3q2D0cERGRGNDQKZEvjJ2dHbNnTKNmne8YMPg3Fi1ZGr5h3+69+2jftg1//j0BKysrU4dqUnW/rUWbn1oxeep03AoUpUL5slhZWbF9xy6eP39OzRrVaftz60j1fHwecf7CRZxSpYpU5pY3D3/8PpJOXXtQrca3FC5UAGdnZ44dO8GVq1dJlCgRi+fPiTRU65tqVenSqT1j/xxHybJfUbRwIZImS8rhI17cuXMXZ+c0zJ8zM9K8m1/a/MTe/QdY+s9y8hcqTrEihbG2seag5yEePXpMrpw5mDz+L+M+OBERkTfUoyHyBar4VXn27txK9WpVuHvvPqvWrOXJ06eM/2ssndq3AyB58mQmjtL0Jvz9B3M9ZuCez43de/axecs2smTOxLg/x/DPovnvtdFdu1/asHXjOqp8XYlLl6+wZu16goKC+PGHFnh77ot2KNboEcNYumgeJYsX4+TpM2zYuBlbG1s6d2yH18G9ZM2SJVIdc3NzFs71YOqk8eTN48qhI15s276T1E5ODOjbhwN7dpA8efJY34OIiEhMmBneHjch8gnw9vamQIECHD6wB/f8+Uwdzhdn7vyFNP/hJ6pV/ZrVyz/t+Roinzrvo8coVKwUXl5euGsujIh8YdSjIfIFevDgIdejWF3qoOchevbpC0CzJo0/dlgiIiLyGdEcDZEv0ImTp6hcrQa5XXORIUN6EiRIwNWr1zj6ZvWixo0aUqd2TRNHKSIiIvGZEg2RL1CO7Nlo81Mrdu/Zy779B3nx4gWOjg6UL1uGpk2+p3GjBqYOUUREROI5JRoiXyAXF2cm/P2HqcMQERGRz5jmaIiIiIiIiNEp0RAREREREaNToiEiIiIiIkanRENE4oVBQ4ZhYe3AoCHDTB2KSdy8eYtJU6fTqvUv5CtYlAR2ibGwdmDMHzHb2Xvj5i1UrlaT5KnTYZ8kJXndCzNsxGhev379n/U8Dx3m2+8a4pQ2I7aJkpPdNR89+/Tl2bNnxrgtERH5jGkyuIhIPLB85Sq6dO/1XnVHj/mDXr/2x8LCgrKlS5E4SWJ279lLv4GDWbdhA1s2rMXW1jZSvYWLl9Ks5Y8EBwdTolhR0jinwdPzML+P/YuVq9ayZ8cWUqZM8aG3JiIinyn1aIiIxAMZMqSnQ7tf8JgxlVPHDtO4UcMY1Tvi5U3vvgOwtbVlz44tbN6whiUL5nLp7ElKlyzBQc/D9B0wOFK9W7du82ObthgMBpYvXcjuHVtYNG82F8+e4Lt6dbh0+TJt2nUw9m2KiMhnRImGiEg8UPOb6vzx+0iafN+QnDlyYG5uFqN6I38fi8FgoEfXzhQpXCj8uL29PTOmTsLc3JxJU6bx9OnTCPX+Gj8BPz8/mjZuRM1vqocft7S0ZMqEv3F0dGTV6rWcOXvOKPcnIiKfHyUaIvHU+QsXaP7DT2TMmgtrh6QkSp6aTNlc+fa7hixbsSrCuS9evGDq9JnUrteAbLncsE+SEsdkThQoUoJhI0bj5+cX5TUsrB2wsHYAwGPOPAoXL41D0lSkSZ+ZVq1/4eHDhwD4+/szcPBQcuTOh22i5GTIkpO+/QcRGBgYqc0WrVpjYe2Ax5x5HDt+gtr1GpDSOT12iVNQqFgpZs2e+17P4+y5c7Rq/QuZs+fGNlFykjmlpVKVb1i9dl2U59+5c5f2nbqSLZcbtomSY58kJRmy5KTKN7WZOn3me8XwqQkICGDjpi0ANGrwXaTyTJkyUqxIYQICAli/cXOEslWr172pVz9SPUdHR6pXrfLmvDXGDltERD4TSjRE4qGTp05TpERZ5s5fiK2tDdWrVaFSxQqkTp2KzVu2MX2mR4Tzj584yc/tOnLQ8xBpUjvxTfWqFC1SmMtXrtJv4GDKV6qKv79/tNfr9Ws/fm7XkSRJklC50leYmZkxa/ZcKlWtga+vLxW/rs74SVPIlSsn5cqW4dHjxwwf9TvtOnaJts1Dh49QokwFTp8+y1fly1O8aBGOnzhJq9a/0LFL91g9j0VL/sG9cAlmzZ6LnZ0t1ap+Td7cruzZt5/adRswYNBvEc6/e/cehYqXYuLkqQQFBVG50ldUr1aFdGld8Dx0mD//Hh+r63+qzl+4yKtXr0iaNAmZM2eK8pyCBQsAcOz48fBjz58/5/KVKwAUKugeZb2w40ePnzBmyCIi8hnRZHCReOjPv8fz4sULhg4eQK8e3SKU+fr6cvLU6QjHMqRPz5YNaylbphTm5v//fOHp06c0atqSTZu38Pf4ifToFnViMGfeArwP7SNnjhwAPHnyhBJlKnDi5ClKlKlA4kSJuHzuJIkSJQLg2PETFClRhhmzZtOnZ3fSp08Xqc0p02bQvu3PjBk1HAsLCyB0haPK1WoyfuJkKlf6iqpfV37nszhx8hQtWrUmQYIELF+6kCqVK4WXnT5zlmo1vuW34SMpW6Y05cqWBmD6TA/u3bvPT61aMnHcn5iZ/X8Y0uvXr/E8dPid131bWK9PbJQpVZLtWzbEul5sXL12DYB0adNGe066tC5vzr0efuza9RsAJE6cGEdHxyjrpX1T79pb9URERN6mREMkHrr/4AEAX7/1Uh3G3t6eYkWLRDjm4uKMi4tzpHMTJ07MX2NHkSN3fpatWBVtojGw36/hSQZAkiRJaP3jD3Tp3oszZ89xwtszPMkAyOeWlypfV2LN2vXs2rOXpukbRWrT2TkNI4cNCU8yAIoULkSn9m0ZMmwEf/49IUaJxrCRowkICGDs7yMjJBkArrly8vuo4dRv1IQJk6eEJxphzy+sd+ZtCRMmpHSpku+87tuaNo58f++SI3u2WNeJLV/flwDYRbGiVBg7OzsAXrzwfaue75uy6OvZ29m/qffig+MUEZHPkxINkXiocMGCbNi4mV/ad2RQ/36ULlWChAkT/mcdg8HAvv0H2LN3H7du38HPzw+DwYDBYADgwsVL0db9ulLFSMfChuKkT5cuQhISJmuWzADcvXs3yjbr1K4VZcyNv2/AkGEj2Lf/AEFBQVhaRv9nKiQkhE2bt2JmZkbd2jWjPKdMqRIAHPQ8FH6sUMECTJoyjd6/9gegYoXy4S/c72PW9CnvXVdERORzpURDJB7q1qUje/ftZ9uOnXxdvSYJEyYkn1seSpcqyfcNG5Ant2uE8+/ff0Dd+o3Yf9Az2jafP38ebVlUvSFhn2i7OKeJsk5Yub9/1BvCZcyQPsrj6dKmxdzcHH9/fx49ekyqVCmjjevRo0fhcTuljXoOQpiHD33C/93k+4Zs2bqdhYuXUOe7RlhYWJDbNRelSpagfr06FC9W9D/bii/s7UOTp5evXkV7zsuXob0eDg72b9Wzf1MWfT3fl75v6sV+2JiIiHwZlGiIxEO2trZs3rAGz0OH2bR5K/sOHOSg5yE8Dx1h9Jg/GdjvV/r9+v/N3X78uS37D3pSolhR+vftg1ve3CROnBgrKysCAgKwcUz2n9d7e15HbMriWnBwCAAWFhZ83zDy6kjRMTc3Z97sGfTq0ZV16zew78BB9h/wZPzEyYyfOJkWzZowfcrEGLfXolXrWMeeI3s2enbvGut6sZEhfWgyd+PmzWjPuXnr1ptz/z+PJn260DkdT58+5fnz51HO07h163bouVHMvxEREQElGiLxWpHChcL3RggICGDBoiW0/qU9g34bxnf1viV7tmy8fPmSDRs3Y2FhweoVS0mcOHGENi5dvmKCyP8/4fjfbty8SUhICNbW1iRLlvQ/20iePBk2Njb4+fkx7s8x4Z/Ex1Ru11zkds0FhA7DWr9xE42b/cCs2XP5rm4dKlWsEKN25sxbEKvrQuhk8LhONHJkz4aNjQ2PHz/h8uUrUa48dfiwFwD53NzCjyVKlIjMmTJx+coVDh/xpkL5spHqHXpTL/9b9URERN6m5W1FPhMJEiSgedPGFC1cCIPBwImToStPPXv2nJCQEBwcHCIlGQALFi7+yJGGWrZ8JQEBAZGOL1i4BIASxYr+5/wMCN08Luwl+J/lKz8oHnNzc6pXrUKN6tUAOHHyZIzrBvu/iPVXXK84BaG/E19XDp1fs2DRkkjlV65c5YDnIRIkSEC1KhEn3tf4puqbepF/P54/f87a9aHx16r5jbHDFhGRz4QSDZF4aNKUaZy/cCHS8StXrnL6zU7NYcNfUqVKSZIkSXj69Gmkl82Nm7fwh4n2jLh1+za9+/YnJCQk/NjhI17h8bRv93OM2unXpxdWVlZ07taTRUv+CZ/cHsZgMHDo8BE2b9kWfmzOvAV4Hz0Wqa1Hjx6FTxpPl+7zGBLUs1sXzMzMGDXmDw4dPhJ+3NfXl1atfyEkJISfW/8YKQnt2K4tNjY2zJm3IMKmh0FBQbRp25Hnz59Ts0Z1cuWMvBCAiIgIaOiUSLw0bcYs2nXsQqaMGXF1zYm9nT33799n7/4DBAQEUL9eXQoXKgiEzl/o07Mb3Xv9SpPmPzBx8hTSp0vPlatXOXT4CL17dGP4qN8/+j20/vEHJk2Zztp1Gyngnh8fHx927dlLUFAQP7f+kW+qVY1ROwULuOMxYyqtWv/C901b0KfvAHLmzEHSJEl46OPD8RMnePDgIT26dQ4fCrVi1WpatGqNs3Ma3PLmIXGixDx6/Ji9+/bz8uVLSpUoTu1P7JP6u3fvUad+w/DvL1+5CsD4iVNYtmJl+PFlixeSOrVT+PeFChZg+G+D6PVrf0qW/YpyZcuQOHEidu/Zy4MHDylSuCC/Deof6Xpp07owbfIEmrX8kW/rNaRk8WKkTpMaT8/DXL9xgyyZMzN5/N9xd8MiIhLvKdEQiYcGD+zHuvUbOXT4CAcOevL8+QtSpUxJ6VIladWyOXX+tdRrl04dSJ8+PWP//IvTZ85x6vRZcrvmZM6s6XzfsL5JEo3ChQrSqmVzBg4Zyuat2/Dz8yNPblfa/NSKH1o0i1VbDb6rS6EC7oybOJmt27aze89eAJxSpcItb16qValMndq1ws/v0rE9GdKn58BBT7y8j/LkyVOSJ0+Gez43mjb5nu8b1sfKysqYt/vBQjcSPBLp+I2bNyNM9n79OvIqX927diZPntyM/XMcR7y88ff3J1PGDLT/5We6du4Q7dLIDevXI1PGDIwYPYb9Bw7iefgIaV1c6NalI316do+wd4qIiMi/mRn+Pc5AxMS8vb0pUKAAhw/swT1/PlOHI0bWolVr5sxbwIypk2jetLGpwxGJU95Hj1GoWCm8vLxwd3c3dTgiIh+V5miIiIiIiIjRKdEQERERERGjU6IhIiIiIiJGp8ngIvJRzZo+hVnTp5g6DBEREYlj6tEQERERERGjU6IhIiIiIiJGp0RDJJ7xmDMPC2sHWrRqbepQTCrsObz9dcTLO8I5+w8c5Jf2nShWqhwuGbNi45gMx2RO5CtYlN59+/Pw4cN3XmfRkn/4unotnNJmxMYxGS4Zs1Kpag085swz2r3MX7iYpi1+xK1AEVK5ZCChfRKSOaWldLmKTJg0hcDAwEh1AgMD2bZ9J9169qZw8dIkTpEGa4ekpM2UjXoNG7Nz1x6jxRdm/MTJ1P++Ka5uBUiRJh0J7ZOQyiUDlap8w7wFiyLtyg7w6tUr1qxbT9sOnXErUATHZE7YOCYjUzZXmrX8iaPHjkd7vaSpXCL8fL/033kRkfhGczREJF7LnCkTJYoXBSB5smQRyjZs3MyUaTPIkD49uXLkIHny5Dx+8oQjXt6M+v0PPObMY/vm9eTMkSNSu/7+/tRr2Jj1GzZhZ2dH8WJFSZokCXfu3OHwES8wGIy2D8iUqdM54HmIXDlzULBAARI5OnL37l0OeB5i34GDLFi0mM3r12BnZxdeZ9fuvVSuVgMAJ6dUlCpZHDs7O86ePcfyFatYvmIVfXv3ZNCAvkaJEWDUmD948OAhuV1zUaxoEezs7Lhx4wbbd+5i246dLFuxkmWLF2Bu/v/PsBYsWkLrX9oDkD5dOiqUL4ulpSUnTpxi3oKFLFy8hAl//8GPP7SIdL2G9evx6tUrLl++wr4DB412HyIi8nEo0RCReK1E8aLRTi7/vlF9fvyhBenSpY1w/OXLl7Rq05YlS5fxS7tO7Ni6MVLdFj+2Yf2GTXxXrw6Txv1J4sSJw8tev37N6TNnjXYPv48aTrasWSJcA+DWrdtUrlaDg56HGT3mTwb2/zW8zNzcnG9r16RD258pVbJEhHqLly6jSfMf+G34SMqWKU25sqWNEueCObPIn88tQsIDcPrMWSpWqc7qNeuYPXc+LZo1CS+zsrKiRbMmtP25NfnzuYUfNxgM/Pn3eLr17EP7Tl0pU7ok2bJmjdDuhL//AEJ7r5RoiIjEPxo6JSKfrRzZs0dKMgDs7OwYNew3APbs28/r168jlG/aspUlS5fhljcP8zxmREoAEiZMaNRd6wsXKhjpGgAuLs706tENgK3bt0coK1+uDEsXzouUZADUr1eHZk2+B2D+wkVGi7NkieKRkgwA11w5+aX1T6FxbtsRoaxZk++ZPmVihCQDwMzMjM4d21OhXFkCAwNZsnS50eIUEZFPgxINkQ907vx5LKwdcEqbMcqx9ABBQUE4Z8iChbUDp06fCT/ueegwPXr/SuHipUmdLhPWDklxyZiVeg0bc9DzUKzieNfcjZ279mBh7UD5ilWiLL958xaduvYgZ5782CVOQeIUaShV9is85syLcux9fGdpaRn+vxYWFhHKJkwK7SFp3/bnSGUfW1icCRMkjFW9sBf7W7fvGD2mqFhahj6nhAkTxKpevnx5Abh1+7bRYxIREdNSoiHygXJkz06RwgV5+NCH9Rs3RXnOpi1buXfvPgXc85PbNVf48X4DBvPn3xMIDAykUMECfFO9KsmSJmX5ilWULl+JpctWfJR72LFzN24FizJuwiRCQgxUrvQVhQsV5MSp0/zw0880/+HzmoQbEBBA/0FDAPi6csXwl3mA4OBgduzcDUCpksW5des2v4/9k5/bdaR7rz4sW7GKoKCgjxKnj48PY/74C4BvqleNVd2Lly4DkNopldHj+rerV68xZdpM4EPidDJ6XCIiYlqaoyFiBM2aNMHz0BHmzFtAzW+qRyqfM2/Bm/O+j3C8S+cOzPWYQapUKSMcX7NuPfUaNOaX9h2pVqUytra2cRb73bv3qNewMb6+vsycNpmmjRthZmYGhPZy1Kpbn3kLFlKubOkYT372mDOPH376OdaxzJg6yWgTrN928dIlho0YDYDPo0cc8fLmwYOHFCpYgIl//xnh3MtXrvDq1SsA9u47QPtOXcO/DzWOnDmys3LZYrJkzmzUONesW8/yFasIDg7h3r177DtwEH9/f5o1+Z62P8c82bt37z6z584H4NvaNY0aI8Cs2XPZvWcvgYFB3L59m/0HPQkJCaF3j27Urlkjxu2cPHWa9Rs2YWZmRq2a3xg9ThERMS0lGiJG0OC7OnTp3pP1Gzbx6NEjkr21+tGTJ09Ys3Y9CRIkoGH9ehHqfV2pYpTtfVOtKnW/rc3CxUvYsWs31ap8HWex/zV+Ak+ePKF7106REqG0aV2YMnEcRUqUYcKkKTFOArJkzkTTxo1iHUuWzJliXScm7t9/EJ7shalQriyTJ/xNmjSpIxx//PhJ+L/btO1A6VIlGTlsCFmzZObsufN06daT/Qc9+aZWXY4dOUjChLEb0vRfTpw4FSnOju3bMqBvb6ysrGLURlBQEE1btOLZs2dUKFeWb6rFrochJvYfOBghTktLSwYP6Evnju1j3Iavry+Nm7UkKCiIFs2a4JY3j9HjFBER01KiIWIEiRIlouY31Vm89B8WLFpC+7b//zR/0dJlvH79mm9r1yRp0qSR6vr4+LB2/UZOnznD06fPwoflnD4TOpfj4sVLEPW0CqPYsHEzAHW/rR1leQH3/Njb23Ps+An8/f2xtrZ+Z5slSxSnZIniRo3zQ5QsUZxg/xeEhIRw+/Yddu3Zy8DBQ8lboAgeM6ZS99ta4eeGhISE/zutiwtrV/5DggSh8w4KFSzAhrUryZ47HxcuXmLBoiURVlj6UL/27sGvvXsQEBDA9Rs3WPrPCkb+PpaVq9awdtUycuWMvAzvv/3criPbduwkrYsLc2ZNN1psb5s2eQLTJk/Az8+Pq9eu4zFnLoN+G87SZStYu3JZpOTt3wIDA/muUVNOnT5DPre8/DV2dJzEKSIipqU5GiJGEvZp/78/kZ47L3QIy797CwCmTJtJxmyu/PDTz4z9cxwzPeYwZ94C5sxbwImTpwB4/vxFnMZ95eo1AIqUKBNpAzwLawcsbRzx9fUlJCSER48ex2kscc3c3Jy0aV1o3KgBWzaswcrKih9++pk7d+6Gn+Pg4BD+76aNG4UnGWHs7e35vmF9gDjZFA8gQYIEZM2ShT69ujNz2mSu37hB8x9+euek/E5dezDTYw5OTqnYsnENTnE8P8PGxoZcOXMwavhQhg0ZyPETJ2nfuet/1gkKCqJhk+Zs2ryFnDmys2HNyihXshIRkfhPPRoiRvJVhXK4ODvjffQYJ0+dJk9uV85fuIDnoSM4OaWKNEzq8BEv2nbohKWlJaOG/0b1alVwcXbG1tYWMzMzfu03kBGjxxhtxae3P6l/W3BwMADf1auD9TuGAcV0RaG9+/YzY9bs2AUI/NCi2UfrCcmYMQOlShZn3fqNbNqyNbxnIkP6dOHnZMiQPuq6GTIAcO/+/TiP89taNXB0dMTL+yjXrl0nY8YMUZ7XrWdvxk2YRIoUydmyYS1Zs2SJ89je1qzJ93Tv9Str120gMDAwyqFewcHBNG7+AytWriZL5sxsXr+GlClTfNQ4RUTk41GiIWIk5ubmNG7UgBGjxzB77jx+Hzmc2XNCezMaNfguwspGAMtXrsJgMNC+bRu6du4Yqb1LV67E6vphn7z7vnwZZfn1GzeiPJ7WxYVLly/Tt3dPXHPljNU1o3Pp8pVIPTsxUaZ0qY865CpF8uQAPHz4MPyYg4MDWbNk5uKlyzx+HHUPjo/PIwDs7eP+k3gzMzOSJU3K8+fPefDwYZSJRs8+ffnjr/EkS5aUzevXxGiIlbElSZIES0tLgoKCePz4SaQFDoKDg2nSvBVL/1lOxgwZ2Lpx7TuHWImISPymoVMiRtSsaejwqAWLlhAQEMD8hYtDjzeJPIk6bNJxWheXSGUPHz6MtPHZuzinSQPA+fMXoizfsGlzlMe/rhza0/KPEZfSbd60McH+L2L9FRcrTkUnKCiIPXv3A5AlS8TVo2rXCl05aduOnVHW3f7meEH3/HEWX5grV65y7fp1zM3NyRRFktG7b39+H/sXSZIkYdO61eTNkzvOY4rK7j37CAoKInHixCRPnixCWUhICM1a/sTipf+QPl06tm1aR9q0kX/vRUTk86JEQ8SIsmXNSvGiRbh//wE9evfl1u3bkfbOCJMjezYA5s5fiK+vb/jxFy9e8EPrX3j69Gmsrl2ooDsODg6cPnOWhYuXRiibNGUay5avjLJet84dcXR0ZPio35k4eWqUe0ScPnOW5StXxSqeT8HI0WPw8fGJdPzBg4f88NMvXL5yhbQuLpGGtXVo+wv29vasW7+RWbPnRij78+/x7N67Dzs7O5o3jTgRPGxTRAtrB2LqzNlzLFi0BH9//0hlp06foUHjZhgMBmrV/IYUKSIOM+o3YDCjfv+DxIkTs2ndqki7b0cnbHPHTNlcYxzn3n37Wbt+Q5S/H/v2H+DHNm0BaNm8SYRNDkNCQmj5YxsWLl5CurRp2bZpHenfGp4mIiKfLw2dEjGypk2+Z/9BT8ZNmAREPQkcQj/1/2vcRLyPHiNLzjyUKF4Mg8HAnr37SJAgAS2aNYn0kvtfbG1t6denJz1696VJ8x+YNHkqqZxScerUaa5eu073rp0YPebPSPXSpnVh+ZKFfNeoMe07dWXYyNHkypmTlClS8PTZU06dOsPNW7f4rl4dvq1l/D0Z4lKffgPpN3AIefPkJlOmjFhYWHD71m28jx3Hz8+PVKlS8s/i+ZH2KUmd2gmPGVNo8H0zWrX+hXETJpElS2bOnj3HmbPnSJgwIbNnTiV16oibzIXNg/n3MLn/8uDBQ5o0/4E2dna453MjTZo0vA54zfXrNzh2/AQGg4HChQoyefxfEeqtXruOYSNDV2vKkjkT4ydOjrL9HNmz0bN7xAnaYXHGdMlcCB0O98NPP5M4cWLc87mRKlUqXvi+4MqVq5w5ew6AqlUqM3hAvwj1Jkyawtz5CwHIlDEDg4cOj7L9EsWL0apl8xjHIyIinz4lGiJGVr9eHTp364mfn1+Ue2eESZIkCYf276b/oCFs3baD9Rs2kTJFCmrXrMGg/n2ZOn1mrK/dtXNHkiRJwviJkznifRQbGxuKFinM7JnTePXKL8pEA6Bc2dKc9D7M+ImTWb9xE56HDhMYGIhTqlRkypiBn1u3inb520/ZuD/HsHvvPo4fP8HWbTt4+fIliRI54p7PjWpVv6b1jz+QOHHiKOvWrlmDQ/t3M3zU7+zes5czZ8+RPHkyGtb/jp7du5And+TegKPHjgHQsnnTGMfomisHQwb2Z8++/Zw/fwGvo8cICgoiefJkfF25IvXqfEvjRg0i9BJAxP0+jnh5c8TLO8r2y5QqGSnROHrs+Js4Y740b5lSJenbuyd79+3n4qXL7D/oicFgwClVKr6tXZPvG9anVo3Im+69HefO3f+9SpcSDRGRz4uZwVhL2ogYibe3NwUKFODwgT24589n6nDkExW2+3jTxo2YNX2KqcMB4Ovqtdi3/wAXz5yI86VlP0TOPPl5+eoV508dw8bGxtThvNOn+LOOKe+jxyhUrBReXl64u7ubOhwRkY9KPRoiEq/t23+QFq1aAzCgb59ol6SNa69fv2bvvv107tDuk04ybty4yYWLl5gycdwnn2S07dCZV69ecfly7FZgExGRT4MSDRGJ1y5fucLlN0sBt/25tckSjYQJE+L75IFJrh0b6dKlJdg/bjeBNJaFi5fy7NkzU4chIiLvSYmGiMRLzZs2/qjL4crH9/j+LVOHICIiH0DL24qIiIiIiNEp0RAREREREaNToiEiIiIiIkanREPkC1S+YhUsrB3Yueu/9zUQEREReV9KNERETGzQkGFYWDswaMgwU4ciIiJiNEo0RERERETE6JRoiIiIiIiI0SnREPlMvHz5kjF//EWJMuVJmsoFu8QpyJIjD981asL6jZti1MbDhw/5e/xEqnxTm8zZc2ObKDlJUjpTvHQ5Jk6eSnBwcJT1Dh0+wneNmpA2UzYS2ichSUpnsuVy4/umLdm+Y1eEc/39/Rk5egwFi5bEMZkTNo7JcM6QhRJlytNvwGD8/f0/+FkY0/vE++jRI/oNGIxbgSI4JnPCIWkqChYtyZ9/jycwMDDCuRbWDgweOhyAwUOHY2HtEP7176FU16/foG2HzmTJkQcbx2Qkc0pLhUpVWbBoSZSxBwcHM3naDEqWrUCSlM5YOyQldbpMFCxakm49e/Pw4cMI53seOkyP3r9SuHhpUqfLhLVDUlwyZqVew8Yc9Dz0IY9RRES+QNqwT+QzcP36Dap8U4vzFy5ib29PieLFSJTIkVs3b7Fx0xZ8HvpQ9evK72xn05ZtdO7WExdnZ7JmyUyRwoW4f/8+BzwP4XnoCFu2bWf5koWYmZmF19mydTvf1K5LYGAg+fO5UbxYUQIDA7l9+w7LVqzE0dGB8uXKABASEsI3teqyfecuEiVKROlSJUjkmIgHDx5w/uJFho0cTdufW+PkZB1nzyo23ifek6dOU7VGbe7cuYuLszNlSpckJMTAocOH6dqjN+s3bGLtqmUkSJAAgKaNG3H8xEmOnziJW948uOXNE96Wm9v//33Q8xDVatbh6dOnZMyQgVo1v+Hx4yfs2r2Hnbv3sGnzVjxmTInws2nV+hfmzFuAjY0NJYoXI3myZPg8esSVK1f546/x1P22NilSpAg/v9+AwezcvQfXXDkpVLAACRMm5MKFiyxfsYpVq9cyf84s6tWpHZePXEREPiNKNETiuZCQEOrUb8T5Cxep8U01Zk6dRJIkScLLX7x4waHDXjFqq4B7Pvbv3k6RwoUiHL979x7Va9Vh9Zp1LPlnOfXr1QkvGzl6DIGBgcybPZOG9etFqPfo0SOuXb8R/v3effvZvnMX7vnzsXPrRuzs7MLLDAYD+w8cxNHRIcb3Xr5iFXbt2Rvj88ME+7+I0XmxjdfPz4/adRtw585dhg0ZSNfOHbG0DP0z+/jxYxo0bs627TsYPvJ3BvTrA8Cs6VMYNGQYx0+cpOY31cOPv83f358G3zfj6dOndGzfltEjhmJhYQHAqdNnqFilOvMWLKR4saK0/rElEJp8zpm3gLQuLnju20WqVCkjtHns+AnSpE4d4ViXzh2Y6zEj0rlr1q2nXoPG/NK+I9WqVMbW1jZGz09ERL5sSjRE4rnVa9dx9NhxMqRPz4I5s7CxsYlQ7uDgQIXyZWPUVs4cOaI8njq1EyOGDuHr6jVZtmJlhETj/oMHAFSpXDFSvWTJkpEsWbK3zg0dqlOyRPEIL+0AZmZmlCheLEZxhqlc6SvSp08XqzqxEdt4PebO5+q1a9Sr+y09u3eNUJY0aVI8pk8hU3ZXJk6ZSv++vSP0PvyXpctWcPPWLTKkT8/IYUPCkwyA3K65GNDvV9q278TYP/8OTzQevBkWlT+/W6TEASCfW95Ix76uFPlnCPBNtarU/bY2CxcvYceu3VSr8nWM4hYRkS+bEg2ReG7T5q0ANGrwXaQk430EBQWxfccuDnoe4t79+/j7+2MwGHjh6wvAxYuXIpxfqGABzpw9x/fNfqBPz24ULVI4wovw29zzuWFhYcFMjzlky5qFb2vVjPIlOKb+/TJvbLGNd8ObuTB1v416eFGaNKnJmiUzZ86e4+KlS2TLmjVGcex+02vTsH49rKysIpU3b/I97Tp05tLly9y+fQdn5zTkyJ4NBwcH1m/YxPCRo2nUoH6MkjIfHx/Wrt/I6TNnePr0GUFBQQCcPnMGePPzrxKjsEVE5AunREMknrt+4yYA2bNn++C2Lly8yLf1GnL23Ploz3n+POKwo2FDBnHi5Ck2btrMxk2bsbW1paB7fsqVLUPjRg3IlClj+LmZM2di7OgRdO/1K+06dqFdxy5kypiRYkWLUOObatSu+U20SYopxDbeq1evAVC/UZN3tv3woU+ME43bd+4CkCFD+ijLra2tSZMmNbdv3+H2ndBEw8HBgelTJtKq9S/0HTCYvgMG4+ychqJFClP168o0+K4u1tYR58JMmTaTbj178+rVq2hj+ffPX0REJDpKNETiuZgOv4mJ7xo24ey583xTvSrdu3QiZ47sJEqUCAsLCy5cvEjOPO4YDIYIdZycUnFo/2527trD1m3b2X/gIJ6Hj7B77z6GjhjFpPF/0bJ50/Dz2/3Shrrf1mblmrXs23eAffsPMH/hIuYvXEQ+t7zs2LIBR0fHGMU7cvQYzp2/EOv7nDV9SozPjU28YatyVa1SmeRvDRmLSrJkSWMdd2x/1nW/rcVX5cuyas069uzdx/4DB1m2fCXLlq9k8G/D2bVtE2nTugBw+IgXbTt0wtLSklHDf6N6tSq4ODtja2uLmZkZv/YbyIjRYyL9/EVERKKjREMknkv35kXxwoWLH9TOufPnOXnqNClTpmDZ4gWRehYuXb4SbV1zc3PKlysTvrrUy5cvmTBpCr37DqB9p67U/bZWhOTBySkVbX78gTY//gDA8RMnadbyR44dP8HI0WMZOmRgjGLetHnre00Gj02iATGP18XFhfMXLtLmp1ZGncfgnCZ00nZYj8m/+fv7c+dNr4dzmjQRyhInTkyzJt/TrMn3AFy+fIXWv7Rnx67d9Pq1P/PnzARg+cpVGAwG2rdtQ9fOHSNd49KV6H/+IiIiUdE+GiLxXKWKFQCYv3DxB+1B8fjxEwDSpE4d5fClBQuj3qshKnZ2dvTo1gUXZ2f8/f05/44kyC1vHtq3/RmA4ydPxvg627dsINj/Ray/PlR08YZNiP9n2YpYtZcgQei8i7D5EP9WulRJABYt+SfKc2bPXYDBYCBL5sw4O6eJVP62zJkz0btndwBOvBV72M8/rYtLpDoPHz5k67YdMbgTERGR/1OiIRLP1fymOvnc8nLt+nUaN/+BZ8+eRSh/8eIF27bvfGc7WbNkxtzcnFOnz4RPPg4za/ZcFi1ZGmW9MX/8xc2btyIdP+Llzd179zA3Nw9/ed2+YxfrN26K9LIcHBzMhk2bAUifLu5WkYqt2Mb74w8tSOviwpx5Cxg0ZFiUcx2uXr3GvAWLIhxL86YX4uz5qOfG1KtTm7QuLly9do0+/QYQEhISXnbm7DkG/TYUgC6dOoQfP3rsOIuXLsPPzy9Se2vXbwAg3Vux53gzx2fu/IX4vpn4D6G/Pz+0/oWnT59GGZuIiEh0NHRKJJ4zNzfnn0Xz+bp6LVasXM3WbTtCN+xzdOTWrVscO3GSgu7537nEbYoUKfi59Y9MmDSFCpWrUaZUSVKlSsWp06c5dfoMvbp3ZcToMZHqDR0xmh69+5IzR3Zy5MhOwgQJuXXrFvsPehISEkLPbl1wckoFwMlTp+jSvReJEiXCPZ8bTk5OvPJ7xaHDR7h79x5OTqno0bVzXDym9xLbeO3t7Vmz8h9q1K7H4KHDGT9pMnlz5yZ16tS88H3BuXMXuHT5MkUKF6Rxowbh9SpX/ApbW1tWrFxN2QqVyZQpIxYWFnxTvSo1qlfD2tqaRfNnU61mHcb88TcrV62lYAF3Hj95ws5duwkMDKRxo4b81KpFeJvXb9ygUZPm2Nra4p7PDRcXFwICAzh27ARXrl7FwcGBQf1/DT+/edPG/DVuIt5Hj5ElZx5KFC+GwWBgz959JEiQgBbNmjBr9tyP8+BFROSzoERD5DOQMWMGjhzcw/iJk1m+cjV79+0nODgYp1SpqFb1a5o3bRyjdv4cM4o8uV2ZMm0Gh454YWVlRYH8+Rg5/DdyZMsWZaIx7s8xbN22HS/vo+zctQc/Pz9SOzlRvVoVfv7px/ChXQDVq1bh6dNn7Nm7j0uXr7D/oCf29nakS5uW1q1+oM1PP0TYqdrU3ifePLldOXbkAJOmTGP12nV4HzuO/0FPUqRITloXZxp8V5c639aKUMfJKRWrly/lt2EjOHr8BHv3H8BgMODi7EyN6tUAKFqkMN6e+xj5+1g2bd7KilWrsbGxoViRwrT6oQWNGnwXYbJ40cKFGTZkILv27OP8+Qt4HT1GggQJSOviTJdO7Wn3c5sIy90mSZKEQ/t303/QELZu28H6DZtImSIFtWvWYFD/vkydPjPuHrSIiHyWzAxaQkQ+Md7e3hQoUIDDB/bgnj+fqcMREXlv3kePUahYKby8vHB3dzd1OCIiH5XmaIiIiIiIiNEp0RAREREREaNToiEiIiIiIkanRENERERERIxOiYaIiIiIiBidEg0RERERETE6JRoiIiIiImJ0SjRERERERMTolGiIiIiIiIjRKdEQERERERGjU6IhIiIiIiJGZ2nqAESic/bceVOHICLyQfR3TES+ZEo05JOTPHlybG1tadqilalDERH5YLa2tiRPntzUYYiIfHRmBoPBYOogRP7txo0b+Pj4mDoMiYGgoCBatmyJr68vCxYswNra2tQhfZb8/Pxo1KgRjo6OzJw5EwsLC1OHJDGUPHly0qVLZ+owREQ+OvVoyCcpXbp0+j/meGLkyJGcPXuWffv2UbRoUVOH81lbtGgRJUuWZMeOHfTo0cPU4YiIiPwn9WiIyHs7ffo07u7udOrUiZEjR5o6nC9Cjx49+Ouvvzh69Ci5cuUydTgiIiLRUqIhIu8lMDCQYsWK8erVK7y9vTVk6iPx9/cnf/782Nvbc+DAASwt1TEtIiKfJi1vKyLvZdSoURw7dozZs2cryfiIrK2tmT17Nt7e3owaNcrU4YiIiERLPRoiEmsnT56kQIECdOvWjWHDhpk6nC9S7969GTNmDF5eXuTJk8fU4YiIiESiRENEYiUwMJAiRYoQEBCAl5cXCRMmNHVIX6TXr19ToEABEiZMyMGDB7GysjJ1SCIiIhFo6JSIxMrw4cM5ceIEs2fPVpJhQgkTJsTDw4Pjx48zYsQIU4cjIiISiRINEYmxY8eOMWTIEPr06UOBAgVMHc4Xr2DBgvTq1YvBgwdz/PhxU4cjIiISgYZOiUiMBAQEUKhQIQAOHz5MggQJTByRQOgQqkKFCmFhYYGnp6d+LiIi8slQj4aIxMjQoUM5c+YMHh4eepn9hIQNoTp16pQm5ouIyCdFiYaIvJO3tzdDhw6lb9++5M+f39ThyL+4u7vz66+/MnToULy9vU0djoiICKChUyLyDq9fv6ZgwYJYWlpy6NAhrW70iQoICKBIkSIEBwdz5MgR9TqJiIjJqUdDRP7T4MGDOX/+PLNnz1aS8QlLkCABHh4enD17liFDhpg6HBERESUaIhK9w4cPM3LkSPr370/evHlNHY68g5ubG/3792f48OEcOXLE1OGIiMgXTkOnRCRK/v7+FChQABsbGw4cOKDejHgiMDCQokWL4u/vj5eXF9bW1qYOSUREvlDq0RCRKA0cOJBLly7h4eGhJCMesbKyYvbs2Vy6dIlBgwaZOhwREfmCKdEQkUgOHjzI6NGjGTRoELlz5zZ1OBJLuXPnZsCAAYwaNQpPT09ThyMiIl8oDZ0SkQj8/PzInz8/iRIlYt++fVhaWpo6JHkPQUFBFCtWDF9fX44ePaohVCIi8tGpR0NEIujfvz/Xrl1j1qxZSjLiMUtLS2bPns2VK1fo37+/qcMREZEvkBINEQm3f/9+xowZw5AhQ8iVK5epw5EPlCtXLoYMGcLvv//O/v37TR2OiIh8YTR0SkQAePXqFfny5SNZsmTs3bsXCwsLU4ckRhAcHEzJkiV5/Pgxx44dw8bGxtQhiYjIF0I9GiICwK+//srNmzfx8PBQkvEZsbCwYNasWVy/fp2+ffuaOhwREfmCKNEQEfbs2cNff/3F0KFDyZ49u6nDESPLkSMHQ4cO5Y8//mDv3r2mDkdERL4QGjol8oV7+fIlbm5uODk5sWvXLvVmfKaCg4MpXbo0Dx484NixY9jZ2Zk6JBER+cypR0PkC9e7d2/u3LnDrFmzlGR8xsKGUN2+fZs+ffqYOhwREfkCKNEQ+YLt3LmTcePGMWLECLJmzWrqcCSOZcuWjWHDhvH333+za9cuU4cjIiKfOQ2dEvlC+fr6kidPHtKlS8eOHTswN9fnDl+CkJAQypYty+3btzl+/Dj29vamDklERD5TerMQ+UL17NmTBw8eMHPmTCUZXxBzc3NmzpzJvXv36NWrl6nDERGRz5jeLkS+QNu2bWPixImMGjWKzJkzmzoc+ciyZMnCyJEjmTBhAtu3bzd1OCIi8pnS0CmRL8zz58/JkycPmTNnZuvWrerN+EKFhIRQoUIFrl69ysmTJ3FwcDB1SCIi8pnRG4bIF6Z79+48evSIGTNmKMn4gpmbmzNjxgx8fHzo3r27qcMREZHPkN4yRL4gmzdvZurUqfz+++9kzJjR1OGIiWXKlInRo0czZcoUtmzZYupwRETkM6OhUyJfiGfPnpEnTx6yZ8/O5s2bMTMzM3VI8gkICQmhUqVKXLhwgVOnTuHo6GjqkERE5DOhHg2RL0TXrl15+vQp06dPV5Ih4cKGUD158oSuXbuaOhwREfmMKNEQ+QJs2LCBGTNmMHbsWNKnT2/qcOQTkz59esaMGcP06dPZuHGjqcMREZHPhIZOiXzmnj59iqurK3ny5GHDhg3qzZAoGQwGKleuzJkzZzh16hSJEyc2dUgiIhLPqUdD5DPXuXNnfH19mTZtmpIMiZaZmRkzZszgxYsXdOnSxdThiIjIZ0CJhshnbO3atXh4ePDnn3+SNm1aU4cjn7i0adPyxx9/MGvWLNatW2fqcEREJJ7T0CmRz9Tjx4/JnTs3+fPnZ+3aterNkBgxGAxUq1aNY8eOcfr0aZIkSWLqkEREJJ5Sj4bIZ6pjx468evWKqVOnKsmQGDMzM2Pq1Km8evWKjh07mjocERGJx5RoiHyGVq1axbx58/j7779xdnY2dTgSz7i4uPDXX38xd+5cVq9ebepwREQkntLQKZHPzKNHj3B1daVw4cKsWrVKvRnyXgwGAzVq1ODIkSOcOnWKZMmSmTokERGJZ9SjIfKZad++PQEBAUyZMkVJhrw3MzMzpkyZwuvXr+nQoYOpwxERkXhIiYbIZ2TZsmUsXLiQcePGkTp1alOHI/FcmjRp+Pvvv1mwYAHLly83dTgiIhLPaOiUyGfi4cOHuLq6UqJECZYvX67eDDEKg8FA7dq1OXDgAKdPnyZ58uSmDklEROIJ9WiIfCbatWtHSEgIkydPVpIhRmNmZsbkyZMJCgqiXbt2pg5HRETiESUaIp+BJUuWsGTJEiZMmECqVKlMHY58ZpycnJgwYQKLFy9m6dKlpg5HRETiCQ2dEonn7t+/j6urK+XKlWPJkiXqzZA4YTAYqFu3Lrt37+b06dOkTJnS1CGJiMgnTomGSDymlz/5mB48eICrqytlypRh6dKlSmpFROQ/aeiUSDy2ePFili9fzsSJE5VkSJxLmTIlEydOZNmyZSxZssTU4YiIyCdOPRoi8dS9e/dwdXWlYsWKLFq0yNThyBekfv36bN26ldOnT+Pk5GTqcERE5BOlREMkHtKSo2JKYUspFy9enBUrVmgIlYiIRElDp0Tiofnz57Nq1SomT56sJEM+uhQpUjBp0iRWrVrFggULTB2OiIh8otSjIRLP3LlzB1dXV6pWrcr8+fNNHY58wRo1asTGjRs5ffq0dqIXEZFIlGiIxCMGg4EaNWpw5MgRTp06RbJkyUwdknzBHj16hKurK4ULF2bVqlUaQiUiIhFo6JRIPDJnzhzWrl3LlClTlGSIySVLlowpU6awZs0a5s6da+pwRETkE6MeDZF44tatW+TOnZsaNWowZ84cU4cjEq5JkyasWbOG06dP4+zsbOpwRETkE6FEQyQeMBgMVK1alePHj3P69GmSJEli6pBEwj1+/JjcuXOTL18+1q1bpyFUIiICaOiUSLwwa9YsNm7cyLRp05RkyCcnadKkTJ06lQ0bNuDh4WHqcERE5BOhHg2RT9yNGzfIkycPderUYebMmaYORyRaLVq0YPny5Zw6dYq0adOaOhwRETExJRoinzCDwUDlypU5c+YMp06dInHixKYOSSRaT58+JXfu3Li6urJx40YNoRIR+cJp6JTIJ2zatGls2bKF6dOnK8mQT17ixImZNm0amzdvZvr06aYOR0RETEw9GiKfqGvXrpEnTx4aNGjAtGnTTB2OSIy1atWKxYsXc+rUKdKnT2/qcERExESUaIh8gkJCQqhYsSIXL17k1KlTODo6mjokkRh79uwZefLkIVu2bGzZskVDqEREvlAaOiXyCZoyZQrbt29n5syZSjIk3kmUKBHTp09n27ZtTJkyxdThiIiIiahHQ+QTc+XKFfLmzUvjxo2ZPHmyqcMReW+tW7dm/vz5nDx5kowZM5o6HBER+ciUaIh8QkJCQihfvjzXrl3j5MmTODg4mDokkff24sUL8uTJQ8aMGdm2bRvm5upEFxH5kuivvsgnZOLEiezatYuZM2cqyZB4z8HBgRkzZrBz504mTpxo6nBEROQjU4+GyCfi0qVLuLm50aJFC8aPH2/qcESMpm3btnh4eHDixAkyZ85s6nBEROQjUaIh8gkICQmhTJky3L59mxMnTmBvb2/qkESMxtfXl7x58+Li4sLOnTs1hEpE5Auhv/Yin4C///6bvXv3MmvWLCUZ8tmxt7dn5syZ7Nmzh3Hjxpk6HBER+UjUoyFiYhcuXMDNzY2ffvqJv/76y9ThiMSZDh06MH36dI4fP07WrFlNHY6IiMQxJRoiJhQcHEzp0qV58OABx44dw87OztQhicSZly9f4ubmhpOTE7t27cLCwsLUIYmISBzS0CkRE/rzzz85cOAAs2bNUpIhnz07OztmzZrF/v371XsnIvIFUI+GiImcO3eOfPny8csvvzB27FhThyPy0XTu3JnJkydz9OhRcuTIYepwREQkjijREDGB4OBgSpQowZMnTzh69Ci2tramDknko3n16hX58uUjadKk7Nu3T0OoREQ+Uxo6JWICY8aM4fDhw3h4eCjJkC+Ora0tHh4eHDp0iDFjxpg6HBERiSPq0RD5yM6cOUP+/Pnp0KEDo0ePNnU4IibTvXt3xo0bh7e3N7ly5TJ1OCIiYmRKNEQ+oqCgIIoVK4avry/e3t7Y2NiYOiQRk/Hz8yN//vw4Ojqyf/9+LC0tTR2SiIgYkYZOiXxEo0aNwtvbGw8PDyUZ8sWzsbHBw8MDLy8v9e6JiHyG1KMh8pGcPHmSAgUK0LVrV4YPH27qcEQ+Gb169WLs2LF4eXmRJ08eU4cjIiJGokRD5CMIDAykaNGivH79Gi8vLxImTGjqkEQ+Gf7+/hQoUABra2sOHjyIlZWVqUMSEREj0NApkY9gxIgRHD9+HA8PDyUZIv9ibW2Nh4cHx48fZ+TIkaYOR0REjESJhkgcO3bsGIMHD6ZXr14ULFjQ1OGIfJIKFSpEz549GTx4MMePH49QFhgYyL1790wUmYiIvC8NnRKJQwEBARQuXJiQkBAOHz6s3gyR//D69WsKFiyIpaUlnp6eJEiQAID58+fTqVMnHjx4gJmZmYmjFBGRmFKPhkgcGjZsGKdPn9aQKZEYSJgwIbNnz+bkyZMMGzYs/LidnR0+Pj7cv3/fhNGJiEhsKdEQiSPe3t4MHTqUPn364O7ubupwROIFd3d3+vTpw9ChQzl69CgAGTNmBODq1aumDE1ERGJJQ6dE4sDr168pVKgQ5ubmHDp0KHwIiIi8W0BAAIUKFcJgMHDkyBH8/PxInDgxCxYsoGHDhqYOT0REYkg9GiJxYMiQIZw9e5bZs2cryRCJgZs3b4b3WCRIkIDZs2dz9uxZhgwZQqJEiUiSJIl6NERE4hklGiJGduTIEUaMGEH//v1xc3MzdTgi8cKIESPIli0bHTt25PHjx+TLl49+/foxfPhwjhw5QsaMGZVoiIjEMxo6JWJEr1+/xt3dXRuPicSSv78/f/75J8OGDcPS0pKBAwfSqlUrSpYsSUBAANmyZePFixds2bLF1KGKiEgMqUdDxIgGDhzIxYsX8fDwUJIhEgvW1tb06tWLixcvUrduXTp16oS7uzstW7bk/Pnz3LlzRz0aIiLxjHo0RIzE09OT4sWLM2TIEPr06WPqcETitePHj9OlSxe2b99O5syZuXz5MpaWlvj7+2NhYWHq8EREJAaUaIgYgb+/P/nz58fe3p4DBw5gaWlp6pBE4j2DwcCaNWvo1q0bFy9eBODixYtkyZLFxJGJiEhMaOiUiBH079+fK1euMHv2bCUZIkZiZmZGjRo1OHXqFD169MDe3l69GSIi8Yh6NERiYdWqVSRKlIiyZcuGH9u/fz8lS5Zk+PDh9OzZ03TBiYiIiHxClGiIxEKBAgUoWLAgU6ZMAeDVq1fky5ePpEmTsnfvXvVmiIiIiLyhtyKRWLh69Sp16tQJ/75v377cuHGD1atXK8n4Qty4cQMfHx9ThyEiX4DkyZOTLl06U4ch8t70ZiQSQ8+ePePJkydkzJgRgD179vDnn38yevRocuTIYeLo5GO4ceMGOXPm5NWrV6YORUS+ALa2tpw9e1bJhsRbSjREYujatWsAZMyYkZcvX9KyZUuKFStGp06dTBqXfDw+Pj68evWKefPmkTNnTlOHIyKfsbNnz9K4cWN8fHyUaEi8pURDJIbCNgvLmDEjffr04datW6xbtw4LCwuCgoKYNm0at2/f5rfffjNxpBLXcubMibu7u6nDEBER+aRpeVuRGLp69So2NjacPXuWv//+m+HDh5MtWzY2btyIm5sbbdu2JTAw0NRhioiIiHwSlGiIxNDVq1dJly4dLVu2pFSpUlSsWJGqVatSpUoVUqRIwZEjRxg5cqSpwxQRERH5JGjolEgMXbt2DX9/f+7fv0/JkiVxc3Mjffr0LFu2jNq1a2NmZmbqEEVEREQ+GUo0RGLo1KlTXL9+HRsbG1atWsWIESNo3749CRMmNHVoIiIiIp8cJRoiMXTjxg0AmjZtyuDBg0mZMqWJIxIRERH5dCnREImh7t27U7lyZcqWLWvqUEREREQ+eZoMLhJDw4cPV5IhX5SdO3diZmZmst97MzOz95r7lCFDBszMzML3vompuL7fkSNHYmZmxsaNG+Ok/Q/h7e2Nubk5Xbt2NXUoH8XLly+ZP38+nTp1okSJEtjZ2WFmZkb16tXfu82w37t3fQ0ePNiIdyLyaVOPhohIPOfh4UGLFi1o1qwZHh4epg7nk1W2bFl27drFjh07PnrydPfuXX777TdKly7N119//VGvHRPu7u58++23jB8/njZt2pA1a1ZThxSnLl68SOPGjY3aZt26dfHx8Ymy7PHjx6xZswaAcuXKGfW6Ip+yLyrRuHHjRrR/BEQkdpInT67daiVOnT171tQhGM2AAQPw9fVlwIABpg4lWgMGDGDZsmX07t2bf/75x9ThxCkHBwdatmxJwYIFKVCgAEePHqVNmzYf1Obvv/8ebdmoUaNYs2YN2bJlo1SpUh90HZH45ItJNG7cuEHOHNl55edv6lBEPgu2NtacPXdeyYbEmRw5cpg6BKN49OgRc+fOJVOmTJ/0p9l58uShYMGCrFy5khs3bsT5f9v37t3Dx8eH3Llzx+l1opI5c2ZmzJgR/v2ZM2fi9HozZ84EoGXLlnF6HZFPzReTaPj4+PDKz59xdbKQNbmNqcMRidcu+vjRftklfHx8lGhEI2xugcFgYOrUqUyaNInz589jY2NDmTJlGDx4cLQvWC9fvmTChAksXbqU8+fPExgYSKZMmahXrx7dunXD3t4+/NwMGTJw/fp1AGbPns3s2bPDy94eSnXmzBkWLVrE1q1buXbtGj4+PiRKlIhChQrRoUMHowzn8fHxIWXKlKRMmZJ79+5FKPv777/p2LFjeCw5c+YMLztz5gyurq7kyZOHEydOhB9/+xn+2/Xr1+nXrx+bNm3i+fPnZMyYkebNm0c5x2Dnzp0RXvD//bIf1VCqwMBARo0axdy5c7l27RqOjo5UqlSJYcOGxfp3fubMmfj7+9O0adNo55wYDAaWLl3KrFmz8PLy4unTp6RIkYIcOXJQq1Yt2rdvH35u8+bNmT17NrNmzaJQoUL079+f3bt34+fnR758+RgyZEj4Pa5du5bRo0dz7NgxDAYDZcuWZcyYMdEOjWrWrBlHjhxhypQpDB06NFb3GRPPnz9n+fLlLFiwgO3bt9O3b1+TJBof0759+zh//jyWlpY0a9bM1OGIfFRfTKIRJmtyG/KksX/3iSIiRtC5c2f+/vtvSpUqRc2aNfH29mbFihVs2rSJTZs2UbJkyQjn37p1i8qVK3PmzBlSpEhBsWLFsLa25vDhwwwaNIgVK1awc+dOkiRJAoSOCz948CD79u0jc+bMEdp7+99jx45lxowZ5MyZEzc3NxwdHbly5QobNmxgw4YNjBkzhi5dunzQvSZPnhw3NzeOHTvGyZMnyZMnT3jZtm3bwv+9devWCIlGWNlXX30Vo+ucOXOGMmXK4OPjQ9q0aalZsyZPnjyhX79+eHp6RjrfycmJZs2asXHjRu7fv0/lypVxcnKKUP62wMBAqlSpgqenJ2XKlCFnzpwcOHCA+fPns3v3bk6cOEHixIljFCvAypUr//P+AgICqFevHqtXr8bCwoKiRYuSLl067t+/z6lTp9i+fXuERCPMkSNHaNu2LZkyZaJChQpcvHiRffv2UblyZbZt28axY8fCJztXrlyZQ4cOsWbNGg4fPsypU6dIlixZpDbDYly1apXREo3Xr1+zfv16FixYwNq1a/H3Dx1Z4O7uTokSJYxyjU9ZWG9G1apVI/2uiXzuvrhEQ0TkY5o6dSo7duygdOnSQOgn13369GHEiBE0atSICxcuYG1tHV723XffcebMGdq1a8eoUaOwsQntgfXz8+Onn35i3rx5dO7cObyn4vfff8fDw4N9+/ZRsmTJaCeDN2nShL59+5IhQ4YIxz09PalUqRK9evXiu+++w8XF5YPut0KFChw7doxt27aFJxrBwcHs2rWLnDlzcuHCBbZu3RrhxTks0ahQoUKMrtGkSRN8fHxo0qQJ06dPJ0GCBACcPn2acuXK8fDhwwjn58iRAw8PD8qWLcv9+/fp1avXf04G379/PwULFuTy5cvh++U8e/aM8uXL4+3tzYQJE/j1119jFOurV684fPgwVlZWFChQIMpzevTowerVq8mWLRurVq2KMGQsODiYdevWRVlvwoQJkRLEnj17MmrUKFq1asW9e/fYuXNn+JwAf39/KlWqxJ49e5g4cSL9+vWL1Gb27NlJkiQJp0+f5sGDB++9X1BISAi7du1i/vz5LFu2jKdPnwKhP4sGDRrQsGFDsmXLFmXdsEn7sRVVz5epvXz5kiVLlgDwww8/mDgakY9Py9uKiMShn3/+OTzJgNDhQL/99huZMmXi5s2bLFu2LLxs48aNHDhwgKJFi/LXX3+FJxkANjY2TJ48mZQpUzJ//nyePHkSqzjKlCkTKckAKFKkCO3atSMwMJBVq1bF/gb/JewT8a1bt4YfO3LkCM+ePaNWrVoUKlSInTt3EhwcDIS+SO/cuRNLS8sIzyk6e/bswdvbm0SJEjFu3LjwJAPA1dU1ypfn2DIzM2PmzJkRXrITJUpEz549gYi9M+9y+vRpAgMDyZgxY3hC+bYHDx4wadIkzM3NWb58eaR5KRYWFtSoUSPKtosVKxapF6pXr14AXLhwgbZt20aYeGxtbU3nzp2B0OFiUTEzMwvvbTp69GgM7/L/vL296datG2nTpqV8+fLMmDEDR0dHunfvjre3N2fPnmXAgAHRJhkAX3/9Nc2aNYv116doyZIl+Pr64uTkRNWqVU0djshHpx4NEZE4FNUSmhYWFjRs2JChQ4eyc+dOvv/+ewDWr18PQJ06dTA3j/w5kJ2dHQULFmT9+vUcPnyYSpUqxSqWFy9esG7dOo4dO8bjx48JCAgAQpf6hNCX0w9VqlQprKys2L17N0FBQVhaWkYYGmVhYcHBgwc5dOgQxYoVw8vLi2fPnlGiRAkcHBze2X7YJ93Vq1cnUaJEkcqbNGlChw4dPuge0qVLF2HYV5iwJODOnTsxbuvBgwcAUQ5TAti+fTsBAQGUKFECV1fXWMUZ1byaJEmSkCxZMh49ehRledjcjP+6h6RJkwJw//79GMdy/vx5atWqxblz5wBImTIlbdu2pWHDhhQvXjxW+6GEJUufg7AJ502bNsXSUq9c8uXRb72ISBzKmDFjlMfDehdu3boVfuzKlStA6C703bt3/892/z086F1WrVpFy5Ytefz4cbTnPH/+PFZtRsXOzo6iRYuyZ88ePD09KVGiBNu2bcPGxoYSJUpgYWHBb7/9xtatWylWrFish02FPa/onmvixIlJlCgRz549e+97iG6yt6OjI0D4HIOYCIsjrO6/hU3kf58VtqIb5mZvb8+jR4+iLA9bSOC/7iEs1rDhTjFx9+7d8CTDxcWFUaNGUbNmTWxtbWPcxufmwoUL7Nu3D9BqU/LlUqIhIvKJCBtOFN0wp7elT58+xu3eunWLhg0b4ufnR+/evWnYsCEZMmTAzs4Oc3Nzpk6dSuvWrY02xv2rr75iz549bNu2jQIFCrB//35KlixJwoQJKVasGLa2tmzdupV+/frFOtH4GKLqTXpfYZPGo0vi3mfn8zDvivN97yMs1rAFB2KiYMGCjBs3jvnz53Pw4EEaNWqEvb09NWrUoEGDBlSuXDnCMLf/MmLEiPCkJTY+tc0qwyaBlyxZkuzZs5s4GhHTUKIhIhKHrl27hpubW5THAZydncOPpU2bFoB69erRtm1bo8Wwdu1a/Pz8qFOnDsOGDYtUfunSJaNdC0KThgEDBrB161ZKlCiBv79/+NyNBAkSUKpUKXbs2MGjR4/Yt28fdnZ2FCtWLEZthz2vsOf3b0+fPv2g3gxjC5vn8ejRoyjLw3pPzp8//9FiepewWGMzEdze3p527drRrl07rly5woIFCyJ8JUmShG+//ZYGDRpQrlw5LCwsom1r48aN7zUZ/FNKNIKDg5kzZw6gSeDyZdNk8C9YkT+8cR5wgJtPjLOJYacVl3AecIDFRx8Ypb24sOLEQ2rPOEWOYYfIOtSTKlNO4OF5j5CQ9/8kd8fFJzSccwbXEYfI/Jsn5Scc469dt3gdFGLEyCW+mj9/fqRjwcHBLFq0CCDC6kdVqlQBYOnSpbG6RtgnxUFBQVGWhw2XCktk3vb69esIE9KNoUiRItjb23Pw4EFWr14NROyxqFChAgEBAYwYMQJ/f//weR0xUaZMGSA0eYqqlyCq5x3mXc8pLri6upIgQQKuXr0a5XCl8uXLY2Vlxf79+z+JndANBkN4b0L+/Pnfq41MmTLRt29fzpw5Ez453M7OjhkzZlCxYkWcnZ1p164d+/bti7IXbefOnRgMhlh/fUrWr1/P3bt3cXBwoF69eqYOR8RklGjIF6PP2iu0W3aJE3d8KZzegdKZEnHlkT+/rr/KT0suvFeyMXHvbRrPO8e+q8/IndqeClkT4/MykFHbb1J31mn8AoLj4E4kPpk4cSJ79+4N/95gMDBgwAAuX76Ms7MzderUCS+rVasWBQoUYNeuXbRp0ybK+RT37t1j2rRpEY6Ffcof3Ytq2Pj/ZcuWRZjgGxAQQPv27cPnhhiLpaUlZcqUITAwkKlTp5IkSRLc3d3Dy8N6N8aPHw/EbthUqVKlyJcvH0+fPqVjx44EBgaGl509e5YhQ4ZEW/ddzyku2NjYULRoUQIDAzly5Eik8pQpU9KmTRtCQkKoU6dOpAn5wcHBrFmz5mOFy7lz53jy5Amurq7vvbTt2/Lnz8/o0aO5ceMGO3bsoFWrVgQEBDBhwgRKliwZZQ/bp+zQoUPkyJHjnXNqwoZNNWjQADs7u48RmsgnSUOnvmCLm+UiKNiAk2PMxs2+S++v0tGupDMpHWL2yeTHtO7MI2Yfvk9KeyuWtXQlU7LQZUMf+gZQz+MMG84+ZqbnPVoVSx3jNo/f9mXY1hvYWJmzpHku3F1CV8x5+TqYpvPPcvD6C0Zsu8mgKhni4pYknvjxxx8pU6YMpUuXJnXq1Hh7e4fvED5//vwIS9iam5uzcuVKqlatypQpU1iwYAFubm6kTZsWf39/Lly4wJkzZ0iZMiU//vhjeL2iRYvi5OSEt7c3BQsWxNXVFSsrK0qUKEGLFi2oUaMG+fPn5+jRo2TNmpWyZctibW3Nvn37ePbsGR06dODvv/826n1XqFCBdevW4e/vT9WqVSPMF8iXL1/4ykgQ8436IHROw9y5cylTpgweHh5s376dYsWK8fTpU3bs2EH16tXx8vIKn2T9ttq1a+Ph4UH37t3ZsmVL+It09+7d43QMfa1atdi9ezdbt26NtEEjwOjRo7l8+TLr16/H1dWVYsWK4eLiwoMHDzh58iQPHjz4aJ/Yhy1LXLNmTaO2a2ZmRtmyZSlbtiwTJkxgw4YNzJ8/P8Y9WXGhdu3a3L17F/j/4gr79u2jaNGi4ef069ePatWqhX//6tWrdw5ze/DgQfjeJxo2JV869Wh8wTIktSZLChusLIzza5DKIQFZUtjgaP3p5a/j99wGoE/F9OFJBkAK+wQMrx66es2Evbdj1asxfu9tDAZoWzJNeJIBYJfQgrG1smBuBnMO3+OZ38cbpiGfnrFjxzJu3DgeP37MypUrefDgAbVq1QrfdfrfXFxcOHToEOPHjyd//vycPn2af/75hwMHDmBtbU3Xrl1Zvnx5hDoJEyZk48aNVKtWjatXrzJv3jxmzJgRPs7d0tKSXbt20aNHD1KnTs3mzZvZs2cPpUuXxsvL672HyPyXt3sp/p1ImJmZUb58eeD/u4nHRu7cuTly5AiNGzfGz8+PlStXcu3aNQYMGMDixYujrVejRg0mTpxIjhw52Lp1KzNmzGDGjBnhL5txpXnz5tjY2DB37twoE4aECROyZs0a5s6dS+nSpTl16hT//PMP586dI2/evEyYMCFO43vb7NmzsbCwoHXr1nF2jQQJElCzZk2WLFlCjx494uw673L06FE8PT3x9PQM79V7+vRp+DFPT89Yr+4GMHfuXAIDA3F1daVIkSLGDlskXjEzfGoDG+OIt7c3BQoUYGPrPORJY2/qcIzu1N2XjNlxk0M3nvM6yECW5DY0L+xEA/eUOA84AMDtQREnWxb5w5tbT19zsFN+0ib5/0ZSdWed5sC15yxtngv7hBaM3XmLwzde4BcYTKZkNvxQxImGBVJFiqHTikssPfaQsbUyUz//h3e5G8udZ68pNNabBBZmnOldCBuryJMQC4zx4t7zAFb+kJtC6d69ln9AUAi5RhzGLzCEfR3zkyFp5I24as04xeEbLxhfJwu186Ywyr18Kk7e8eXrKSfx8vKKMCTmcxf2dyQm9x22mtAX8idW3qFNmzZMmTKFbdu2hSdZn5oTJ07g5uZGnTp1+Oeff0wdzhcvNn9vRD5V6tH4DOy98oya00+y+fwTktsloFL2JNgntKDHmssM2XTtvdvdeekpNaaf4uYTf8pkTkSe1Pacvf+KbquvMHlfzDesMrVT914CkC2lbZRJBkC+NKFjaE/ffRmjNi8/8sMvMITENpZRJhkAbm8S2lMxbFNEPl8DBw7EwcGBQYMGmTqUaA0ePBgrKyuGDx9u6lBE5DPx6Y1xkVjxCwimw/KL+AcZ6FzGha7lXMI/ST184wXfzz3z3m1P2HuHMTUz08D9/70Ty44/pMPyS/y56xbNCqXCJkH0SxTGxM0n/hT982is69XLl4I/a2eJ4TVeA+CSKPq5KM6JEgJw42nMVuAKa9P5P9tM8KbN1zFqU0Q+X05OTvTt25eePXuycePGKHftNiVvb2+WL19O586dw3cPFxH5UEo04rm1Zx5z/0UgmZJZ06WsS4TNnwqlc6BZIScmvmfvQ9VcSSMkGQB13FIwbs9tLj704/idlxTNEPVutzFll8CCevliP6yocAyGN4V5+WblJ9v/SIrCynxfx2yVqJi0afem7GUM2xSRz1uPHj1MOifhv7i7uxMSoiW5RcS4lGjEcwevhW5MVSN3MszNI+8wWytv8vdONL7KFvWusFmS23DxoR/3XwS8V7tvS2pnFeOeCZH4RHMzRETkS6c5GvHcvTcv+y5vhv78W3THY8I5mrr2CUM/qfePJxvShfUsvPqPPS3CysLuzRhthvV62MWwTREREZHPiXo0PhNvD5l6WxSdHDH2IXVj6vHLQAZvjrze/bsUTudAoyhWvopK2sShCdOtZ9H3wNx5HhDh3HdxeXPebSO2KSIiIvI5UaIRz6VyCJ1wfCuaCcc3P/GJyC8Dgll6LPbrlAMxTjRcU4euKHXhwSv8AoOjXHnq2G1fAHKnjtkOrlmS22BtZc5TvyCuPfaPcuWp2LYpIh8uQ4YMXL9+natXr5IhQ4YPbq958+bMnj2bWbNm0bx58w9uLy4sWLCASZMmceLECYKDg8mRIwctWrTg559/jrBRYkwMHDjwP1fGSpgwIf7+MVs0Q0REiUY8VyS9I4uPPmTN6Ud0KesSaZ7GqpM+JoosZtImsY60v4exOSdKSJ7Udpy8+5K1px9Hmnx+4Noz7j4PIKW9FQVcYjbJPIGlOeWzJGb92cesOPGQzmXTRii//tgfr5svSGBhRoWsUc91ERH5UG3btmXixIlYW1tToUIFrKys2LZtG+3atWPbtm38888/sU42ANzc3MiXL1+k46bcyVtE4h8lGvHcN67JGL71Bpd8/Phr9206lXEOH0blfesFHofvmzjCT0O7Us60XnKBYVuuUzCtPRnf7A7u4xtIn7VXAWhb0jlSojbL8y6zDt0jn7M9f38bccnHtqWc2XDuMRP23qFslsTkf5OkvHwdTNdVlwkxQNNCTiSy0X9mIh/Ltm3bCAwMxNnZ2SjtDR8+nF69epE6dWqjtGdMy5YtY+LEiTg5ObF79+7wZWnv379PuXLlWLFiBePGjaNjx46xbrtWrVoMHDjQyBGLyJdGb0DxnG0CC/7+NgvNF5zj9x03WXXKB1cnWx74BuJ5/Tkti6Rm2oG7WFl8hAkXn7DqrsloWigVcw7f56uJxymZKTFWFmbsvfKMF6+D+TpHEloUcYpU7/GrIC77+JPSPvJ+Gfmc7enzVTqGbrlBzRmnKJExEY7Wlhy89hyfl4Hkd7GnV4W0keqJSNzJnDmzUdtLnTr1J5lkAOEb640cOTLC3hepUqVi0qRJlC1blhEjRtC+ffv36tUQEflQ+svzGSidOTGrfshNxexJePAigI3nnvDML4hh1TLxY7HQ/4NMaquccnj1TIyvk4Xcqe05eP05Oy89JUNSa4ZWzci0+tmxeI/Z77+UdGZe4xwUz5CI47d92Xr+MUltLelRPi3LWrh+8IaGIl+yY8eOUbNmTZImTYqdnR0FChRg5syZQOgCGFEtgpEhQwbMzMy4du1ahONly5bFzMyMnTt34uXlRY0aNUiWLBnW1ta4ubkxY8aMKGNo3rw5ZmZmeHh4GPv2PsitW7fw8vIiQYIE1KtXL1J5mTJlcHZ25t69exw8eNAEEYqIqEfjs5EnjT0ejXJEOv7P8dCJ1nlS20cq8+zsHmVb/7Rw/c9r/Vk7S5R7X0R3/FNSO28KaueN+QaBXculpWu5/+6VKJc1CeU0D0PEqLZv3061atXw9/cnR44c5MuXj3v37vHTTz9x9uzZ925348aNjB07luzZs1OpUiVu3LjB/v37adWqFU+fPqVr165GvIu4c/ToUQBcXV2xsbGJ8pxChQpx+/Ztjh49SvHixWPVvre3Nz179uTJkyckTZqUIkWKUK1aNRIkiNy7KyISHSUanwEf30D8g0LCl1wN43XzBb+9WTr2u/yx331bRMQUXr16RePGjfH396d///4MHDgwvPdi//79VK5c+b3bHjlyJDNmzKBly5bhx+bNm0eTJk0YPHgwP//8M7a2th8U/7Vr18iYMWOs6zVr1izGPSdXr4bOLUufPn2056RLly7CubGxZs0a1qxZE+GYi4sL8+bNo0yZMrFuT0S+TEo0PgNn7r+k4Zyz5EhpQ9ok1lhZmHHjyWtO3X0JQB235FTLlczEUYqIxMw///zD3bt3yZYtGwMGDIgwRKp48eL88ssvjBo16r3arlOnToQkA6Bx48YMGzaMs2fPcuTIEUqXLv1B8dvb29OsWbNY1ytZsmSMz/X1DV0+284u+uWz7e1De7JfvHgR43YzZ87M8OHDqVKlChkzZiQgIICTJ08yaNAgdu3aRdWqVTlw4AB58+aNcZsi8uVSovEZyJLchqaFUnHw2nMO33iO7+sQ7BNaUCKjI9/lT0mdvMlNHaKISIzt2rULgPr160c5iblRo0bvnWhUr149yuM5cuTg7Nmz3Llz573afVvy5Mk/uTkdMdWkSZNIx8qVK0e5cuWoW7cuy5Yto0+fPqxdu9YE0YlIfKNE4zOQJlFChlfPZOowRESM4vbt20D0w4L+a7jQu4QNJ/o3R0dHgHizGV1Yb8XLly+jPSes18PBIWb7A71L//79WbZsGVu2bCEwMFB7aojIOynREBGRT1JUq0oBH7RU68dY5tXHx4du3brFul7JkiVp1apVjM4N2/X8+vXr0Z5z8+bNCOd+qBw5QhccCQgIwMfH55Nd9ldEPh1KNERE5JOSJk0aIPqX6H8vXfup8fX1Zfbs2e9VN6aJRv78+QE4ffo0fn5+Ua48dfjw4QjnfqhHjx6F/zusR0VE5L8o0ZA4M2bHTcbuvEWXsi7vXCL2c7T8xEN2XHzKmXsveeAbyHP/YOwSmJMtpS01cyejccFUWFlE/+mqX2Awszzvsfb0I64+9icg2EAKOyvyprHjx2KpKZTO8SPejcjHU7p0aWbNmsWSJUsYMGBApF6IhQsXmiiymMmQIQMGgyFOr5E2bVrc3d3x9vZm6dKlNG3aNEL5rl27uHXrFk5OThQrVswo11yyZAkA2bNnN9pwLBH5vGnDPpE4MufwfVae9AFCdxGvlispOVPZcuy2L33XX+Pbmad5FRAcZd0bT/z5auIJhm65wb0XARTP4EiFrIlJZmfJpnNP2Hf1+ce8FZGPql69eqRKlYpz584xdOjQCC/tnp6eTJgwwYTRfTp69+4NQM+ePbl06VL48QcPHvDLL78A0KtXr0iJ2vjx48mRI0ek5OTGjRssWLCA169fRzhuMBiYO3du+PU6d+5s9HsRkc+TejRE4siAyunJlMyGRDYR/zO78+w1DeecxfuWLxP33qFb+Yi9Pa8Cgmk45wzXn7ymz1fpaFMiTYRdyx+/CuTJq6CPcg8ipmBnZ8fcuXP55ptv6N+/PwsXLgzfsG/37t106NCBP/7444ufjFy3bl1+/vlnJk2aRJ48efjqq6+wsrJi27ZtPH/+nFq1atGuXbtI9Xx8fDh//jxOTk4Rjj9+/Jjvv/+eNm3a4O7uTpo0aXjx4gWnT58O34ujXbt2tG7d+qPcn4jEf+rREIkj+V0cIiUZELpKWPvSzgDsvvI0Uvlfu25x7fFrmhdyom0p5whJBkBSWysyJ496J2CRz0XFihXZv38/33zzDXfv3mXlypU8efKEiRMnhn+injy5lu6eOHEi8+fPx93dnV27drFp0yayZMnC+PHjWbZsGRYWFjFuK23atHTv3p0CBQpw+fJlVq5cyZYtWwgJCaF+/fps27aNcePGxeHdiMjnRj0aH9ElHz/G7b7NgWvPeOAbSAILM5LYWpHbyZZv3VJE2FTP93UwK0/6sP3iE84/eMW9F4GYm0HGpNZUy5WMn4qnxsYq8v+BOA84AMDtQcVYfPQBHofucfGhH/YJLaiQNTF9KqYnmZ0V/oEhjN9zm5WnfLjz7DXJ7KyokzcFXcu5RJo30GnFJZYee8jYWplxdbJj7M6bHLrxAr+AYLKmsKVFESfq508Z6+dx8eErJu+7w76rz3ngG4C1pTl50tjzQxEnKuVIGun8e88DGLfnFjsvPeXu8wDMzMxIamtJthQ2VMkZOuchvrB8kzwk+NezDggKYb73AwB+Kq4VXeTL5u7uzurVqyMdnzt3LgAFChSIVBbdRPGdO3f+57U8PDyi3PsiuuOfkkaNGtGoUaMYnz9w4EAGDhwY6XiyZMnee38SEZGoKNH4SM7ef0mtGafxfR1MluQ2VMxmD2ahL887Lz/DPygkQqJx5t5Leq65QnI7KzIntyZvGnuevAri6G1fRm2/yZbzT/inhSvWVlF3Sg3dfJ3pB+9SNIMj5bIk5sjNFyw6+pDjd16y6ofcNJp7lks+ryia3pGMSa05cO054/bc5vGrQEbVyBxlm0dv+dJn7RWcHBNQOlMifF4GcvD6c7qsvMypuy8ZUjVjjJ/HqpM+dFpxiYBgA9lT2lAhWxIevwzk0PXn7L3yjE5lnOle/v/r3d9/EUCVKSd44BuIS+KElM2SmAQW5tx7EYD3LV9uPn0dbxKNxy8DmbQvdFOwStmTRCg7cfclT14F4eSYgHRJrDl5x5cNZx/j8zKQFPZWlMmcmMLpNQlcPn8PHjzAz88v0p4ZBw8epHv37gA0b97cBJGJiEhMKdH4SKYduIvv62B6VUgXPmwmzMvXwZx98CrCMZfECVncLBfFMzhi/tbQmWd+QbT95yI7Lj1lxsG7tC0Vsa0wS48/ZPPPecmawhaAp35B1Jh+krP3X1Fj+kkcrS050MkdR+vQX4FTd19SbepJFng/oENpF1wSJ4zU5twj9/mhiBMDvs4QPpzH+9YLGs45y//Yu++4Kqs/gOMfLnvvPQRFUUFFcW8b7pGjtNQc/Sor20ubtlylmaOyLLHSrJylpplbURQFBRyIiOy997q/PxCU7kVBwYv6fb9evdLnPM95vveC8Hzv+Z5zfgxMor+nBQ+2slS57r/OJuXzyuZIdLW1+OFxLx5oee2aCykFTPrlHEsOxNPTw5xeHuYArDuZTEpeKZM62zN/uEeN9fWLyyoIjsu76X2vVzXyUx893M3YMM273tf9cyGDHWczKK9QkpJXSlBMDkVlSh7ztWVat5o10ueTK78PHE31+HhXNCsDEmu0LzkQz+DWliwb2xIjvbqXRAhxtzlz5gwPP/wwPj4+eHh4oKenR1RUFMHBwUDlDtZjx47VcJRCCCFuRBKNOyQ1rxSAAS0tVNqM9bXp7FpzqUAnc32czFUf9s0Ndfh4qDt9loaw/Wx6rYnGGwNcq5MMAAtDHSZ3dmDOzmgiUgvZ+0KH6iQDwMfRmAdaWvDPhUyORufwqK+tSp8OZnq8O7BZjTkDnVxMebq7I18eiOP7o4l1SjSWHoynpFzJnMHuNZIMAC87Iz4c5M6zv0fgH5hUnWhUv3+eFiqbeOnrKOjuXr9P+dW9vpvxvMV5EWeTCvgjJLXGsf91d1RbppZVWDnJOywpn+D4PP7X3ZFp3RywNNQh8EoOs7dfZuf5TGZvu8xXYzxvKR4h7gatW7fmueee48CBAxw+fJjc3FzMzMx44IEHmDp1KpMmTdJ0iEIIIW5CEo07pKOzCXsvZjFrWxRvPeBKt2Zm6OvceC6+UqnkREwux67kkJhTQlFpBUqgaqXHqPSiWq8d4GmhcszdygCoHC25Pgmp4mFd2Z6cW6K2z2FtrdTGPLaDDV8eiONETA5l5Up0tNXv5gtQUaFkf2QWWlow3Nta7Tk9riYNJ+Nyq4/5upiw5kQyn+2u3MCrbwvz2/pEf8noO/eQ/ko/F17p50JJWQVx2cX8FZbOisPx7Dyfwc8TW9PK7trXouLqF7e0XMmY9jZ8NMS9um1gayvsTfUY9n0oG8+k8mp/l+qvqRD3GhcXF77++mtNhyGEEOI2SKJxhzzXy4nAmFwOR2Xz+E/n0NfRoq2DMT2amTGmgw1t7I1rnJ+aV8L/1kcQFJtbS4+QW6x+DwYARzM9lWPGeopa2yrbKx/ci8sq1La7Wah/qHU210ehBUVlSjILS7E1Ud8/QGZhWXXc7RcG1XoeQHr+tSVcx7W35WBkNptD03hq/QW0FZWjH92bmTHSx4Yubk1/8yg9HQXNrQ15uZ8LnraGPPNbBC9vjmTHM+2qR2lMrkueJvqpzjnp4GxCe0djTifkcyw6RxINIYQQQjRZkmjcIYZ62vw2pS2n4nLZfzGLE7G5nIzNJTguj6+PJPDGABde7X9tP4U3tkYRFJtLFzdTXuvvgreDMWYG2uhqKygpq8Djk8Ab3k+hqH1UQaFVe1tjK6+o/MReWwFj2te9fEmh0GL5uJbM7OPMvxGZnIjJJSg2hx8Dk/gxMIkJHW1Z9EjdRyle2Rx585P+w9PGkJm1lKrV19A2Vpjqa3MmIZ/YrGLcLCsTBlfLa4mDq6Vq6VzVOacT8knJUz/yJIQQQgjRFEiicYd1cjGlk0vlp+8lZRVsDk3jrT+jWLQ/jhE+NnjaGFJQUs7ei5loK2DNE61V9mKIzqi9ZKoxxWYVqz0en11MhRIMdLSwNLzxBlpWRroY6CooKq3gs6EeGOvXr/yptb0Rre0rS40qKpTsuZjFzI0XWR+cykgfG/qpKRlT579zJuqih7tZgyUaWlpaWBrpkFtcTlp+aXWi4eN4rYwqs6AMZzXzdDIKKuerGMtkcCGEEEI0YbJhnwbp6SgY39GOTi4mKJVw7uqKQzlF5VQoK8to1G34tulM2p0OFYDtZ9MpUVNWtflqPJ3dzG44PwNAR1uLPs0rJ3hvO5t+W/EoFFo87GVZvUTs2aT8Ol8b/1GPev93KytO1eZKRhGxWcUotKDZdaMYjmb6dHQxAeBwVLbKdVmFZYQlVr7O9k4mDRaPEKJu5syZg5aWltp9KO4n5eXlfPvtt/Tt2xdra2sMDAxwdXVlxIgR/PXXX3Xq45133kFLSwstLS2++OKLRo5YCKEJkmjcIf7Hk4hMK1Q5fiWjiIjUygTDxbxyboOtiS4WhtpkF5Wz+UzNT973Xczk+6MJjR+wGok5Jcz9N4aKq+VPACHxeXx3tHIJ1qe6O9R2aQ2v9nNBV1uLD/+OZmtoGkqlska7UqkkOC6XA5FZ1cf+CEklNEF1CduMglJOXZ007qxmSV5NiUgpYPOZVIpKVROz88kFzPgjAqUSBrexwtq45ijQS1eXP152KJ7T8ddec1FpBbO3RZFTVE57J2M6u0qiIYS489LT0+nRowfPPfcc4eHh9OjRg1GjRuHq6sq///7L1q1bb9rHiRMnWLhwocoqgkKIe4uUTt0ha08m8+72yzSz1MfLzghjPW1S8ko4EZNLSbmSUT7WdLxaUqWt0OLFPi588s8VZm6MZPXxJFwt9LmSUUxwfB4v9nFm2aH4O/4aJne256cTSey+kEkHJ2PSC8o4Fp1DWYWSKV3sGeilupu3Oh2cTfhqtCevbb3E8xsuMvffGFrZGmJhqEN6finhSQWk5ZfyQm+n6lKov8+l88rmTBzM9PB2MMLcQIfMgjICY3IoKKmgWzNThrSp2/3vhLT8UmZujMRIL4p2jsY4mOpRUq4kNquY8KR8lMrKlcgWjGiucu1ALyue7enIyoBERv0QRicXEywNdQiJzyMptxQHMz1WjGspv6CFEHdcRUUFI0eO5MSJE7z88svMnz8fA4Nro7K5ubm17s5epbi4mClTpmBvb0/Xrl3ZsmVL4wYthNAYSTTukLcecOPfiEyC43IJis0lr7gcGxNdurub8YSfPcP+85A8o5cTrpb6fHskgYiUQi6kFOJlZ8iysZ6MaW+rkUSjo4sJE/3s+GJfHAcuZVFUWkFreyOmdLHn8U529eprVDsbOjib8OOxRA5GZXM0OgcAOxNdvB2MeLCVZY2d0p/t6YSLhT4nY3M5k5BPdmEZVkY6tHM05jFfO0a3t1HZk0KTvOyMeOsBV47H5BCZVsSZhHzKK5RYGekwwNOCET7WjG1vW2NPkut9MMidzq6mrD6eRHhiPoWlFTiZ6/NMDxtm9nFWGQURQog74fvvvycgIIDhw4ezZMkSlXZTU1PatWt3wz4++OADzp07x59//snGjRsbKVIhRFMgicYd8rCXJQ973Xwzu+sNa2td42H7evEf9ajXcYCeHuY3bH99gCuvD3CttR2gnZMJaya2vuE5de3P3cqAj4d61Kmvbs3M6NasfpvyaZK1sS4v93O5rT6GtrVmaC1ffyGaigsXLjB37lz2799PYmIi+vr6WFtb07FjRyZNmlRj9+7c3Fx+/fVXduzYQVhYGAkJCSgUClq2bMm4ceN47bXXMDRU3RizavROqVTi7+/P8uXLOXfuHKampgwbNoz58+dja2tLUVER8+bN49dffyUmJgY7OzsmT57MnDlz0NWtmZxPnTqVNWvWsHr1anx9fZkzZw6HDx8mPz+ftm3bMnPmTKZNm1bv9+PcuXN88cUX7N27l8TERAwNDfHz8+Oll15i5MiRKucnJCQwd+5cdu7cSVxcHAqFAhsbG9q2bcuYMWN45pln6h1DY1q+fDkAr7322i1dHxgYyKJFi3jiiScYMWKEJBpC3OMk0RBCCHFLQkND6dWrF7m5ubRu3ZoRI0agpaVFfHw8u3btorCwsEaicfr0aZ599lns7Ozw8vKic+fOpKenExgYyHvvvceff/7JgQMHapTiXO/tt99myZIl9OvXj8GDBxMQEMCPP/5IUFAQR44cYdCgQZw7d45+/frh6enJgQMHmDt3LqmpqXz33Xdq+wwMDOS5557D2dmZhx9+mJSUFA4cOMD06dMJDg5m6dKldX4/1q9fz5QpUygpKcHb25vhw4eTmprKoUOH2LNnD++//z4ff/xx9fmJiYn4+fmRlJREs2bNGDx4MPr6+sTHx3Ps2DGio6ObVKKRmJhIWFgY2tra9OjRg4iICH777Tfi4uKwsrKiX79+DBo0qNayzqKiIqZMmYKVlRVfffXVHY5eCKEJkmgIIYS4JV9++SW5ubnMnTuX2bNn12jLy8sjNDS0xjF3d3f27NlD//79USiulTpmZWXx+OOPs3PnTr766ivefvtttfdbs2YNISEhtGnTBoDMzEx69OjBmTNn6NGjBxYWFly+fBlz88qV7UJCQujSpQurVq3i3XffpVmzZip9fvvtt7z00kssXrwYbe3KJaMDAwN5+OGHWbZsGYMHD2bo0KE3fS/OnDnDlClT0NPTY8uWLQwZMqS6LTw8nCFDhvDJJ58wYMAABgwYAFSWISUlJfHss8/yzTff1HhALy4uJjDwxvsl/detzNvq168f+/fvr9O5VV9Pa2trvvnmG9566y3Kyq5trDp//nx69uzJ5s2bsbNTLad99913uXDhAuvXr8fGxqbesQoh7j6SaAghhLglycnJADUeqquYmJjQo0fNUk0XFxdcXFRLCi0sLFi6dCmtWrViw4YNtSYaH3/8cXWSAWBpacmMGTN49dVXOXv2LGFhYdVJBoCvry9Dhw6tHil58sknVfp0dnZm4cKF1UkGQLdu3Xj11Vf5+OOP+fLLL+uUaHz22WeUlJSwZMkSlffD29ubxYsX8+ijj7J8+fLqRKPq/Rs8eLBKkqCvr0/fvn1vet/rTZkypV7nA7RuXbdSWICMjIzq/7/22ms8/vjjvP/++7i4uBAUFMQLL7xAQEAAjz76KAcOHKhxbUBAAEuWLOGRRx5h/Pjx9Y5TCHF3kkRD3NSS0Z4sGV33XbeFEPeHrl27smPHDmbMmMEnn3xC37590de/8TLTSqWSI0eOcPDgQeLi4igsLESpVFYvcx0REVHrtYMHD1Y55ulZ+bOpWbNmNZKQKi1btgQq50KoM27cOLUxT548mY8//pjDhw9TVlaGjk7tvy4rKirYuXMnWlpajBs3Tu05/fr1A+Do0aPVx7p27crXX39dnVg9/PDDGBsb13qfm/H397/la+uioqJyue6ysjJ69+7NunXrqtsGDBjAP//8Q6tWrTh48CD79u2rTqgKCwuZOnUqZmZmfP31140aoxCiaZFEQwghxC158803q+cfDBw4EH19fXx9fenXrx+TJk1SWX0oOTmZMWPGEBAQUGufOTk5tbapGw0xMTGpte369qKiIrXtHh7qF6Rwc3NDoVBQVFREeno69vb2tcaVnp5eHbe6kqHrpaZe2xtp8uTJ/PPPP6xbt47Ro0ejra2Nj48Pffv2ZcKECfTs2fOGfd1ppqam1X9++umnVdpdXFwYNmwYGzZsqJFovPPOO1y8eJEff/wRR0fHOxavEELzJNEQQghxS4yMjPj3338JDAxk586dHDlyhKNHjxIYGMjChQv56KOP+OCDD6rP/9///kdAQAC9evVizpw5dOjQAQsLC3R1dSkpKbnpaMj18zrq09bYysvLAdDW1mbSpEl1vk6hULB27Vpmz57Ntm3bOHLkCEeOHGHZsmUsW7aM6dOn88MPP9S5v6lTp9Y3dFq3bs2sWbPqdO71SVltCVrV8aSkpOpjmzdvRqFQsGbNGtasWVPj/PPnzwPwzTffsG3bNjw9PVm1alW9XoMQoumSREPDfgtO4bUtl3jU1/a+Lk+qeh+ut+OZdnRwvrb79YmYXDaeTiUsMZ+EnGIyC8rQ0daimaUBD7S04NmeTjfdX2JraBq/BacQlpRPblE5lkY6tLI1YnR7G8Z3rN9eIDez72Im3x1N5ExCHkVlSppZ6jPKx4YZvZzQ12n4h6JTcbmsOBTPiav7tDia6TOkjRUv9XXGzED1n/r3RxOZszO6xrFjr3TE1VL9ij9C1KZbt25069YNgJKSEtatW8fTTz/NnDlzGD9+PF5eXuTn57Njxw60tbXZtm0bFhYWNfqIjIzUQOTUurlcTEwMFRUVGBgYYG1942WmbWxsMDQ0pLCwkOXLl1ePotSVj48PPj4+QGV50o4dO3jiiSf48ccfGT9+PAMHDqxTP/99iK+Lfv361TnR8PLywtjYmPz8fNLT09Wek5aWBqDyHlRUVKjM27heVFQUUVFRZGVl1S1wIcRdoenscCYE4G6lz6O+tjzqa4uVUc2H470XM/k5KJm0/FJa2hoxpI0VXVxNScwpZsXhBB5YcZqLqQVq+y0qreDJted4fsNFTsTm4uNgzJA2VrhbGRASn8emM2kN+jq+PhzPpF/Oc+RyNj6OJjzY0oK0/FIW7o1l3OpwCkvKG/R+W0LTeOSHMHaez6S5tSEDvawoLa/gmyMJDFkZSlpeqco1rWwNq99rIz35USAahp6eHlOnTqV79+4olUrOnDkDQHZ2NhUVFZiamqokGQBr1669w5FW2rBhAyUlJSrHq+Lp1avXDednAOjo6PDQQw9V93c7FAoFw4cPZ9SoUUDlksB1VTXXpT7/1XXFKQBdXV2GDx8OwJ49e1TaS0tLOXjwIACdO3euPh4dHV3r/asmsH/++ecolUpCQkLqHI8QoumTEQ3RpHRxM6t1ZGdse1sm+dnjbFGzvKKgpJzXt17iz7B0Zv0VxcbpPirXvrolkj0RWYz0sWb+8OaYG1771i8uqyAiRX2CcitOx+cx998YDHUV/D61LZ1cKuua84vLeXLtOY5dyWX+nlg+GuLeIPdLyC7m9a2XUCrhx8e9GNS6cpf5snIlL266yJ9h6bz91yV+eLzm6jL9PC3o52kBwNHoHApKihskHnH/+Prrr3nwwQfx8vKqcTwqKorw8HCA6iVl7e3tsbS0JDMzk3Xr1vHEE09Un79z504WL1585wK/TlxcHLNmzeKLL76oLr86ceJEdTwvv/xynfr54IMP2LlzJy+//DIGBgaMHz++xkpSSqWSEydOkJWVVT1C8dNPP+Hj40OnTp1q9JWenl49aVzdkryaNHv2bP744w++++47hg8fzqBBg4DK8rG3336bS5cu4ezszOjRozUcqRCiKZCPMcVdw9PWUCXJADDS0+a9gZW/jANjcikuq6jRvj8yiz/D0mnrYMTysS1rJBkA+joK2jnVr9ThRpYfjkephBd6O1UnGQDG+tosfsQThRb8dCKJ7MKyG/RSd6uOJVJUWsGjvrbVSQaAjrYWC0c0x1Rfm53nMxs0mRIC4LvvvqN169a0aNGCUaNGMXHiRB588EHatGlDZmYmEyZMoGvXrkDl/IV3330XgIkTJ9KzZ0+eeOIJunXrxpAhQ255p+nbNWPGDL7++mu8vLx4/PHHeeihh+jZsyc5OTk8//zzjBgxok79dO7cmZ9++onS0lIef/xxPDw8GDp0KJMmTWLQoEE4ODjQrVs39u7dW33Npk2b8PPzw8XFheHDhzNp0iSGDBlCs2bNuHTpEn369GlyD+wdOnRgyZIllJaWMmTIELp37864ceNo1aoVX375Jebm5vzxxx9qd3gXQtx/ZETjPyJTC+m3PARrYx1Ovu6HrrZqLlZWrqTL4pOk5JWy5/kOtLY3Aipr5LeHpxMQnUNCdgnZRWVYGeng52rKjJ5O+LmaqvRVm5vN3Qi4nM2j/mfp4W7GhmneKu3x2cWsPJLAvsgsErKL0dFW0NrOiCf87HjM1/aWNnZqynQUWtX/1/7Pa1sdWDkp8X/dHdFWNO7rLimrYN/FLABGt7dVaW9mZYCfqyknYnLZezFT7Tn1tet8Rq33MzXQ4WEvSzadSWPn+Qxa2Rnd9v2EqPLpp5+ybds2AgMDCQgIICcnB3t7e/r168fTTz9dY1dwgNdffx13d3e++OILwsPDCQsLw8fHh19++YWJEycyd+7cO/4aunXrxtNPP82HH35YvZt5u3bteP7553nqqafq1deECRPo0qULS5cuZffu3dVzEhwcHPD19WXYsGE1lr+tej8CAgIICgoiMzMTGxsbOnXqxNSpU5k4cSK6ujeed6YJL774Iu3ateOLL77g2LFjnDp1CkdHR5555hlmz56Nu7u7pkMUQjQRkmj8h6etIR1dTAiOy2PvxawanxBX2X8pi5S8Uto7GVcnGQAL9sRyNDqbVrZG+DqboKejRVRaITvOZrDrfAYrxrVihPeNJxU2hCOXs/nf+gvkFJXjbmVAf08L8ksqOBWXy2tbLnHkcjZLx7Rs9DjulJKyCj7fGwvAAE8LdLSvJRPlFUqOXM4GoKubKQnZxWwNTSM6sxhjPQV+rqYM8rKqcc3tuJReSGFpBRaGOrhbqZ9U3cHJhBMxuYQl5t92opFbVEZ0RmXJk6+T+vX3OziZsOlMGmGJ+bd1LyH+a/jw4dU1+3U1duxYlQSkStVeGnU9DtC/f/8bts+ZM4c5c+bcMKZOnTrx119/3fCcuvbXokULvvrqqzr11adPH/r06VOnc5ua/v37079//9vux9/fv9H3/xBCaI4kGmqM97UjOC6PP0JS1SYaf4RUroP+mG/Nh8QZPR1ZPtYTWxO9Gsf/uZDBM79FMOuvKB5qaYGhnjaNJTm3hGd+u0B+STlfjm7Box2ujV7EZxczbd15Np5Oo5eHeZ1XWVK3IlRdLH6kRYOv5AQQlV7I0oPxAGQUlHI6Pp+0/FJ8nY2ZN7x5jXOjM4ooLK0spToek8u72y9X/71SIi1tDVn9uBce1rc/1B+bWfnQ72yuV+s5VW0xWbc/JyL2ah/mBtqYqllZCsDZQq/GuUIIIYQQd4IkGmqMamfNnJ2X2RORSUZBKVZG14auswrL2H0hAz1tLR5pZ1PjugEtLdX2N9DLiuFtrdkcmsaR6BweaqX+vIaw6mgiWYXlPN/Licd8az7kO5vr8/nIFgz9LpTVgUl1TgI8rAx41Lf+n7x71PKJ/u1KyyutTvaq9G5uzsIRzXEwq/mAn3XdPIi3/4qiezMz3hvYDA8rAy6mFfLh39EExeby5Nrz/Pt8h9tedjb/6mpSRjdIJo2vtuUX3/7KU/kllUnTjZLXqvvlNcD9hBBCCCHqShINNcwMdBjU2oqtYelsPpPGU92v7WS6NTSN4jIlQ9taYWmkWjubkV/K7ohMLqQUkFNUTllF5ZD++asTcaPSCqERE429FzMBGF5LiVZ7J2OM9RSEJ+VTVFqBge7NH6y7NjOjazOzBo3zdnRtZkb8Rz2oqFCSmFvCsegcvtgXywNfn+ar0Z41XnvFdRUVTmZ6/DSxNXpXkwlfZxPWTW5D76XBRKUXsSU0rVFGYIQQQggh7keSaNRifEc7toal80dIao1E44/TVWVTqg+kP59I5qNd0f8pzampsT9VvnK1dGfod6E3PTezsBRH3RvvxNuUKRRaOJvrM7aDLV3cTBn4zRle2xJJZ1fT6pENE/1ridSjvrbVSUYVY31txrS34duARI5czr7tRKNq9KDgBvtkVI16GOvffgmd8dX9L260L0fV/Uwa4H5C3CtkboAQQjQ+STRq0ae5OY5meoQm5nMuOZ829sZEphUSHJeHnYkuA67uP1AlJD6P2duj0FFo8f7AZjzkZYmTmR6Gugq0tLSY928Myw/FU/uUxfqpqKWjiquTIkf6WN+0DEhfzYpa6hy/ksO6Uyn1ig/giU52d2wkxM3SgG7NzPg3IpMDl7KqEwZXi2vlW7XteF11PFXNpnb15XJ1+d34bNUNwKok5JRcje32k7yq+2UXlZNbVKZ2nkbC1VhcGuB+QgghhBB1JYlGLRQKLcZ2sGX5oXh+D07lw8HG/BFc+bA9ur2NyipFO86mo1TC9G4OzOjlpNJfdEZRve6vd7X//Fo+qY7PVj+x19FMn+iMIl7p54JXAy1lejmjSGVORF30cL+zJVfWxpXfztfvgm2ir42HtQGX04vILFC/b0VmQeX5xg0wSd/TxhADXQVZhWVEZxSpXXkqJD4PAB9H9atE1YeZgQ7uVvpEZxQTkpBPn+bmtd/P4fbvJ4QQQghRV7Jh3w1UrSq1OTSNkrIKNp5Ju3pctbymatKxk5nqp8bp+aUcupRVr3tXlf5cSitU274nIlPt8QdaWgCwLTy9Xve7kfEd7Yj/qEe9/7uT8x3KypUEXskBwMO65sP90DaVK4cdjspWe23V8fa1LA9bH3o6Ch64Otq1+YxqcnYlo4iTsbnoaWvxYC2LB9TXQC+rWu+XW1TG7guV3ytD2qiuoCbErfL390dLS4upU6dqOhSNqnofrv8vKChI7bkXLlxg0qRJODk5oa+vT7NmzXjuuedITExs0JjOnj3LK6+8Qp8+fXB1dcXQ0BAjIyNat27NzJkziY6OrjW+L7/8ksGDB+Po6Iiuri7m5ub06NGDJUuWUFzcsCvXBQQE8Nxzz9GtW7fq98TExIT27dsza9YsUlPVf8AVHBzM3LlzGTBgALa2tujq6mJlZcWAAQNYvXo1FRXqy5dfeeUVla+VEKJxSaJxAy1sDOnsakpqXimf/nOFxJwSlb0zrj8XYMPp1BqrCeUVl/PalktkF9Vvboavkwkm+tpcSClkS2hajTb/40lsP5uh9roZvZww1ddm2aF4/AOTKCtXrbG6kFLAjrMNl4jcKcsPxZORr1relJZXymtbI4nOKMbJXE+lrO2p7o4Y6yn4NyKT34JrloB9F5DAsSu5GOkpVBKjgMvZOH94FOcPj9Yrzhf6OKOlBSsOJxAcl1t9PL+4nNe3XqJCCU92cVDZoTw2s6j6frGZdR8B+18PRwx0FfwRkso/5699X5SVK3n7ryhyi8sZ3NpSNusTohG1aNGCKVOmMGXKFGxsbFTaDxw4QMeOHVm7di2Ojo6MHj0aIyMjvv32Wzp06EBERESDxRIQEMBXX33FpUuXqndtHzBgANnZ2axYsQIfHx8OHjyoct2DDz7Ia6+9xoEDB/D09GTcuHH4+fkREhLCq6++So8ePcjIUP+751bs2LGDb7/9lpSUFNq2bcuYMWPo1asXcXFxLFiwAB8fH86dO1fjmrKyMjp16sS7775LUFAQ7dq1Y9y4cXh7e3Po0CGmT5/OkCFDKCpS/RnatWvX6q+REOLOkNKpm3jM15ag2Fx+uLq79H/3zqgyvqMdq44lEpqYT4+vTtHVzQylUsmxK5WfXk/oaMv64LqXHxnqafNqPxc++ecKMzdexP94ErYmupxPLiA2q5jneznx9ZEEleuczfX54XEvnvktgnd3XGbpoTha2RphY6xLdlEZ51MKSMguYaSPNUPbNv7mgQ1p3r8xLNwbQxt7Y5pZ6qOt0CIxp4TQxMoVtGxNdFk13ktlqVd7Uz2+GuPJjN8v8tqWS6w6lli5vG1qIRGphejraLF0jCf2pjWXxq2aB6NTz93EfZ1NeOchNz7bHcOoH8Lo5WGOmYEOx6JzSMsvpaOLCbMedFW57vp5N/XZQNDZXJ9Fo1rw0qaLTF9/ga5uptib6nEqLo+4rGLcrQxYMKJFvV6DEKJ+evfuXevk8vz8fCZMmEBhYSHLli1j5syZ1W1vvPEGixYt4vHHHycoKKhBPmV/6KGHOH/+PF5eXjWOl5aW8vbbb/Pll18yZcoUoqKiatzPy8uLjz/+mMceewwTE5Pq49HR0QwfPpzg4GBeffVV1qxZc9sxAkyaNIlnnnkGNze3Gsfz8/N56qmn+O2335gxY0b1DutV/Pz8ePvttxk5ciT6+teqCEJDQxk0aBD//PMP8+bN46OPPqpx3RNPPMETTzwB0GCvQQhxYzKicRMjfayrl4BVt3dGFQtDHf5+pj0T/eww1tNmT0QmpxPyGdrGip0z2uNkXv+JuDN6ObFoVAva2BtxJiGPI1HZuFsZsHm6NwOulkip08vDnH0vdODFPs5YG+tyKi6XHefSiUgtpJmlAbMfcuPtB91qvb6p+myoB0PbWFNQUs6hqGx2nM0gMq2Qdo7GzH7IjQMzfengbKL22iFtrNnxbDtGeFuTmlfKPxcyyS4qY3Q7G7Y/044hbVSTrqqdtCd0qn8J2PO9nfllUmt6uptzOj6Pfy9kYGWkw1sPuLJxmrfafS9Cr96vv6c5jmpK8G7kkXY2bHnKh4FellxMLWTnuQx0FPBcLyf+frYdNiaqSzELIe6M1atXk5SUxIABA2okGQALFiygRYsWnDp1ir///rtB7ufu7q6SZADo6uqyYMECDAwMiI6O5uLFizXa9+zZw/Tp02skGVX9ffvttwD8/vvvlJTUvthFfbRu3VolyQAwNjbm888/B+DQoUM1SrZ0dHQICgri0UcfrZFkALRr146FCxcC8MsvvzRIjEKI2yMjGjdhaqDDpfe61elcGxNdFo5U/8nx6wNceX2A6qfY4zva3XAuw4ROdrU+6MZ/1KPW6+xM9Zj1kBuzHrr7EoraTO3mwNRuDrd8vbeDMd8+1qrO5x+8lIWhroLX+7vc0v0GtLSsdRPH2u6npQWzH2p2S/fr5GLKj4+3vqVrxd3v/PnztGnTBltbW+Lj49HVVU0uy8rKcHV1JSkpidDQUHx8fAAIDAxkw4YN7Nu3j9jYWDIzM7GxsaFnz5688cYbdO/evc5x+Pv7M23aNKZMmaL2E/79+/czYMAA+vXrx/79+1XaY2Nj+eKLL9i5cycxMTHo6urSrl07nn76aaZMmXJX1tVv2bIFgIkTJ6q0aWtrM2HCBD777DO2bNnC0KFDGzUWhUKBQlH54dl/H9RvpGPHjgAUFRWRnp6Oo6PjTa64PTo6OtX/19au+0IdVXHGxcU1SlxCiPqREQ3RpJyIyeGVzZG8sjmyXvMUGlpxWQWBMbk83cMRu/+UVDWWQ1HZjG5n0yCrUdXFgcis6vc6o+D2l/YVmtW6dWu6detGamoqO3bsUHvOrl27SEpKws/PrzrJAHj33Xf58ssvKS0tpWvXrowcORJra2s2btxI7969+eOPP+7Ia9i3bx/t2rVj6dKlVFRUMHjwYLp168aZM2eqk5e7UXBwMABdunRR2151vOq8xlJRUcEnn3xCQUEBHTp0UDuaUJuq0Q89PT2srBp3YYmSkhLef/99AIYMGVKddNRFVZyNnQgJIepGRjREkxKdUUx0RuVclmldHXBtvE3Ub0hfR1HnkayGcvSVTnf0fhGphbe0bLFouqZNm0ZgYCBr1qxh1KhRKu1Vden/XSnqjTfeYO3atdjb29c4/tdffzF27FhmzJjBsGHDMDJqvAUFEhMTGTt2LHl5efj7+/Pkk09Wj17ExsYycuRIfv75Zx544IE6r3RVNbpSX6tXr26w1bRycnKqJ1A3a6Z+tLLqgf/y5csNcs8qmZmZvPrqq9V/DgkJISYmhpYtW/Lrr7/Wa3Ro/vz5AAwfPrxeIyF1cfHiRT777DMA0tLSOHHiBCkpKXTp0oVvvvmmzv0olcrq0qmxY8c2aIxCiFsjiYZoEm5WQiYa3tM9HHm6h3zqdy+ZMGECr7zyCtu3byc9PR1r62tzjzIzM/nzzz/R09OrnhBbZfDgwWr7GzFiBI8++ijr1q1j3759DBs2rNFiX7JkCZmZmbz11lsqIxeurq58//33dOnShWXLltU5CfD09LylURBPT896X1ObvLy86j8bG6sfrayaE5Gbm6u2/Vbl5+erTHr29fXF39+fNm3a1Lkff39/fvvtN4yMjJg7d26DxgiQnJysEueDDz7Id999h5OT6r5Utfnoo484evQo9vb2zJ49u6HDFELcAkk0hBDiHmFubs4jjzzC+vXrWbt2LS+99FJ12/r16ykuLmbs2LFqS1/S0tLYtm0bYWFhZGVlUVZWuTdQWFgYABEREY2aaFSVez366KNq2/38/DAxMSEkJISioiIMDFQ3w/yv3r1707t37waN827i4uKCUlm5nF1iYiLHjx/ngw8+wM/Pj8WLF9f4/qjNnj17ePbZZ9HS0mLlypVqJ5nfrt69e6NUKqmoqCA+Pp4DBw7wwQcf4OPjw08//cS4ceNu2sdPP/3Exx9/jJ6eHr/++qvaJYaFEHeeJBpCCHEPmTZtGuvXr2fNmjU1HiRrK5sCWLlyJa+99hoFBQW19puTk9PgsV4vKioKqH0ew/XS09NxdnZu1HgayvUrOOXn52Nubq5yTtWoh6mpaaPF4ejoyKhRo+jbty8dOnTg1VdfpU+fPtWTp9U5fPgwo0aNoqSkhKVLlzJp0qRGiw8qJ6q7uroyadIkevXqha+vL9OmTaNnz543HNn4448/mD59Otra2qxfv54BAwY0apxCiLqTREMIIe4hDz30EC4uLpw6dYrQ0FDatWvHhQsXCAwMxMHBQaVM6sSJEzz33HPo6Ojw+eefM2LECFxcXDAyMkJLS4t33nmHefPmVX8yfrtq27W5vLxyU9Px48ffdLSirnMEDh8+zKpVq+oXIPC///2vwUZCzMzMsLS0JDMzkytXrtC+fXuVc2JjY4HKZWQbm6WlJaNGjWL58uVs2bKl1kQjICCAoUOHkp+fz8KFC3nxxRcbPbbreXh40LdvX7Zt28auXbtqnWuzadOm6lLAn3/+mdGjR9/JMIUQNyGJRhMybnU4R6Nz+GNqW3p6qH7qJYQQN6NQKJg8eTLz5s3D39+fRYsWVS8zO3HiRJUVfDZu3IhSqeSll17ijTfeUOkvMjKyXvfX06tcpe36uQnXu3Llitrjrq6uREZG8v777+Pt7V2ve9YmMjLyljZm69+/f4OWXHXq1Ik9e/Zw4sQJtYnG8ePHAW44utCQbG0rN55NSUlR237s2DEGDx5Mbm4un376KW+++eYdieu/bhbnli1bmDBhAhUVFfj7+zNhwoQ7GZ4Qog5keVsharFoXyzOHx5l0b5YTYciRL1UlUetXbuWkpKS6s3L1JVNVa2I5Oqqus9Pamoqu3fvrte9q0qazp8/r7a9tqV3hwwZAtCgS+lOnToVpVJZ7/8aasWpKlUrgK1du1alrby8nPXr1wPcsU/j9+7dC0DLli1V2o4fP86gQYPIzc1lzpw5vPvuu3ckpv8qKyvj4MGDgPo4//rrLx577DHKyspYtWoVkydPvtMhCiHqQBINIYS4x7Rq1YqePXuSnJzMm2++SVxcnMreGVVat67c5PGnn36qMQqRm5vL9OnTycrKqte9u3TpgqmpKeHh4fz666812r7++ms2bNig9ro333wTMzMz5s6dy4oVK6ono18vPDycTZs21SuepmDatGk4ODiwb98+VqxYUaNt1qxZXLp0iY4dO1YnW9dzd3dHS0tL7eaHtVmyZEl1Odb1cnJyeOuttzhw4ACmpqYqIwBBQUEMHDiQnJwc3n//fT788MM631NLSwstLS21mzDWZv78+aSlpakcT0lJYfr06Vy6dAlXV1eVcr8dO3Ywbtw4ysrK+O67725pCWMhxJ0hpVNCCHEPmjp1KgEBASxdurT67+pMmzaNJUuWcOrUKZo3b169AtDBgwfR09Nj+vTp/Pjjj3W+r5GRER988AFvvvkmEydOZMWKFTg4OBAaGsrly5d56623qvc6uJ6rqytbtmxh3LhxzJw5k88++wxvb2/s7OzIysoiNDSU2NhYxo8fz5gxY27pPdEUExMT1q9fz5AhQ5g5cyarV6+mZcuWnD59mnPnzmFjY1PrvhZVc1rU7fRemyVLlvDaa6/Rtm1bvLy80NfXJz4+npCQEHJycjA1NWX9+vUqE6wHDhxIdnY2FhYWxMTE1Po988UXX9RY1en6eTf1iXP27Nm89957tG/fnhYtWqCtrU1cXBynTp2isLAQe3t7Nm3aVGP/lpSUFMaMGUNJSQkuLi4cPnyYw4cPq+2/PsmZEKJxSKLRyApKyvnpRDLbz6YTmVZISVkFdqZ6tHM0ZnxHOx5sdfMd6dLzS9l8Jo19kZlcSisiJa8EPW0FnraGjGtvy+Qu9mgrVH9BBcfl8s2RBE7G5pKWX4ahrgJrYx18nU14vJM9vZtfmwdSVFrBqmOJ/BWeTlR6IWXlSiwMdXCx0Kd3c3Ne7uuCgW7TGQC7lXgzCkr5/mgi/5zPICarGKUSWtgYMra9DdO6OaCrfe185w+PVv958f44Fu+Pq/77a/1deH3AtTKTuKxiVhyOZ39kFkk5JRjqKmjrYMxEPztGt7dVib28Qsnak8lsOJ1KREohRWUVmBvo4GCmR093M2b2ccba+Nov61NxuWwPTycgOoeE7BKyi8qwMtLBz9WUGT2d8HNtvJVqxN1r/PjxvPzyyxQWFqrdO6OKpaUlQUFBvP/+++zevZvt27djZ2fHmDFj+Pjjj1m5cmW97/3GG29gZWXF0qVLCQoKwtDQkB49evDzzz9TUFCgNtEAGDBgAOHh4Sxbtozt27dz7NgxSktLcXBwoHnz5jz//PO1Ln/b1PXr14/g4GA+/vhj9uzZQ2hoKPb29jz77LN8+OGHaneyTk1NJS4uDltbW0aOHFnne82dO5ddu3YRFBTE/v37yc7OxtTUFC8vLwYOHMjzzz+vdhWnzMxMALKysm44t2XOnDk1Eo1Tp04B4O3tTffu3esc5/Llyzl48CAhISHs3r27elWuTp06MXz4cGbMmIGFhUWNawoKCiguLgYgLi7uhnFKoiGE5kmi0Yjisop54uezXEorwlhPQVc3M0wNtEnILmFfZBYZBWV1SjT2R2bx4c5oHM308LA2oJOLCSl5pZyKy+XduDwORmXxwwSvGp+GHbyUxZNrz1NarsTH0ZjObmaUlVeQmFPC9rMZmOjrVCcaFRVKnlx7jiOXczAz0KZ7MzPMDLRJzSvlUnoRSw/GM62rAwa6eo32XtXHrcR7LjmfST+fIym3FEczPXq4m6FUwqm4PD7adYU9F7P4eWJr9HQqk41HfW0JT8rnbFIBbR2M8Ha4ttHW9X8+GZvL5F/OkV1UjpulPoPbWJFVWMbR6ByORuewLzKLr0Z71vjavL71En+EpGKgq6CrmylWRjpkFJRxJaOI744mMtzbukaisWBPLEejs2lla4Svswl6OlpEpRWy42wGu85nsGJcK0Z4X9uYTQioXO3oRsvVXs/Ozq7WhGLOnDnMmTNH5fjUqVNvOJdh+vTpTJ8+XW3bjVawcnBw4LPPPqveKfpe4uXlpXaeRm3+/fdflEol7733Xr2Wvn3iiSdqTSxv5FZXFquaxzN37ly0tbXrfN0LL7zACy+8UK97ubu7N9gKaEKIxieJRiOpqFDy1PoLXEorYlBrSxY/4omF4bW3O6+4nOB49auy/Fd7J2P+etqHTi41f9Ek55Yw+Zdz7DqfyZ/h6YzyufYJ07JD8ZSWK1kxriWPtKu5cVFGQSlxWcXVfz8ek8uRyzm0czRm03RvjPSu/aJQKpUExeZiql/3Xx5Vq2fVV/xHPep0Xn3jLSwtZ/qvF0jKLWX2Q27M6OmEjnblg39mQSnP/XGRQ1HZLDsUXz1SsWS0J4v2xXI2qYDBra1qjGBUKSqtYMYfEWQXlfO/7o58MKhZ9cjS+eQCxq85y8bTaXRxNWNyF3ugMvn8IyQVJ3M9djzTDluTmslbWGI+DqY1j83o6cjysZ4q5/5zIYNnfotg1l9RPNTSAkO9un+NhBAN6/Dhw9WJ15w5cxpkqdrdu3fj4eHBjBkzbruvxrR792569epVr1EXTVi3bh3//POPpsMQ4r4iiUYj+edCJmGJ+bha6LNiXEsMdWs+BJroa9Oned2WsG1pa6T2uL2pHu8NbMbjP51j+38SjbS8UgAGeFqoXGdlpIuV0bVPzFPzK8/t2sy0xkM7VE7w6+JmVqc4q/T3tMDFom7r3N+K+sb7e3AqMZnFjPC2Zmafmpt8WRrpsmS0J92XnML/eBKv9XdRWyetzraz6SRkl+Bqoc97A91qlK+1tjfi9QEuzN52mW8DEqoTjbSrsbdzNFZJHAB8HI1Vjg1oqX7Ua6CXFcPbWrM5NI0j0Tk8VIfRMSFE47h06RKXLl0CYObMmQ2SaNRnbowmVa1i1dQdP378lpY7FkLcOkk0Gsm+yCwARre3UUkybkVZuZIjl7M5GZtLSl4pxWUVKIH84spNrqLSi2qc7+tsQkRqITM3XuSlvs50cjFVO48DKh96tRWw/lQKza0NGdbWSu1DcF3992G+odU33r0XswAYXkt5kYOZHh5WBkSkFhKVXkQLG8M6xXHs6qjNI+1saszvqPKYrx3vbL9MdEYRiTnFOJrp42ljiIm+Nnsislh6MI4x7W3rlJRl5JeyOyKTCykF5BSVU1ZRWTpwPqWyNCYqrRAk0RDijrtZCZloOpYsWcKSJUs0HYYQ9xVJNBpJ/NXSJM86PrTeyKW0Qp5af4GLqYW1npN3NeGoMvshN84mF7D3YhZ7L2ZhqKugg5MxvTzMGdvBlmZW13bedbcyYM4gdz755wrvbr/Mu9sv08xSHz9XUwa1tmJIG6takxRNqG+8MZmVSdizv0fctO+MglJaULevWVJOCQBuluoTBQNdBfameiTllJCUU4KjmT4m+tosGtWC17deYsGeWBbsicXBTA8/FxMebGXJKB8blUnsP59I5qNd0RSWqt9RGVS//kIIIYQQmiaJRiOpY/VNnTz7ewQXUwsZ6GXJ872d8LQxxMxAB22FFpfSCum7LIT/To2zM9Xj72faERCdw6FLWZyIzSU4Po9jV3L56mA8C0Y0Z0Inu+rzp3d3ZLi3NTvPZ3AiJpfjMblsOpPGpjNpeDsYsXGaN6YGdft2WX4onsi02pOi2iwZ7Vnnc+sTb/nViYMPtrKoUTKmjqVh3ZdmrFLfL/Vwb2v6NDdn14UMAqNzOBGby/azGWw/m8Hi/XFsmu6Ns3ll8hISn8fs7VHoKLR4f2AzHvKyxMlMD0NdBVpaWsz7N4blh+JVvv5CCCGEEJomiUYjcbr6oHjpFh64rxeZWsi55AJsjHVZNcFLZWQhOqOolitBodCid3Pz6tWlCkrKWR2YxNx/Y3h3exTD2lrVSB7sTPV4sosDT3ZxACA8KZ+XN0USnlTA8sMJzH7IrU4x74/MuqXJ4PVJNOoTr5OZPpfSiniyi0ODzmNwMKss17qSWay2vai0guTckhrnVjE31OExXzse861M9qIzinjzz0sEXM5h7u4rrBjXCoAdZ9NRKmF6Nwdm9FJdjvJGX38hhBBCCE1qOhsj3GP6e1Y+3G86k0bRDUpebiazsHJ3XHtTXbXlS5vPqO6qWhsjPW1e6OOMo5keRWVKLqXf+CHV28GYp7pVPsSfTcqv8302TPMm/qMe9f7vdtUW74CWFgBsC0+vV3+6V1emqpoP8V/d3SsnnW8NS6OsXPWcP0JSUSorS70czW48D8PdyoCX+rpcjf3akqRZV7/+TmquT88v5dClrJu/ECFuQf/+/eu907O4+/j7+6OlpaWxeSZz5sxBS0tL7RLKQoi7nyQajWSQlxXeDkbEZhXz4saL5BSV1WjPKy7nUFT2Tftpbm2AQgsupBRWTz6u8ltwClvC1Cca3x5JID5b9ZP20/F5pOSVoNACp6ufsh+OymZPRKbKw3J5hbJ6InVjriJVX/WNd5KfPU7mevwRksqifbEUlqjOZ4jJLGLj6dQax6pGISJrmRszvK01TuZ6xGQWM+/fK1Rcl5BEpBSwaH8sADN6XhuJCEvMZ2tYGoWlqjHsvpChEnvVxPQNp1OrJ/5D5ffPa1sukV0kczOEEEII0TRJ6VQjUSi0WDXBi8d/OseOcxkcjMqmq5sppvraJOSUEJ6UTwcnk5sucWttrMuULg6sPp7Eo/7hdHc3w85El/PJBZxPKWRmH2eWH4pXue6rg3F88s8VWtoa0tLGED0dLRKySwiKzaVCCTN7O2F3db+Gc8kFzNkZjZmBNj6Oxtib6FFYWrnPR3JuKXYmurzQu3FXkqqP+sZrrK/NTxNbM2XteRbvj+PHwCTa2BvhYKpHXkk5F1MLic4ooqOLCWM7XNvJu38LCwx1Few4l8GYH8NoZmmAtkKLgV6WDGxthYGugm8fbcXkX87xbUAiO89n0MHJhKzCMgKicygtVzK2gw2TOl+bCxOXVczzf1zEUFdBO0djnMz1KClXEp6Yz5XMYkz0tXnjuj07xne0Y9WxREIT8+nx1Sm6upmhVCo5diUXPW0tJnS0ZX1wzQRJCCHqavTo0XTv3h1z87otty6EEPUhiUYjcrM0YNeM9vwYmMiOsxkEXsmhXAl2Jro81MqS8R3tbt4J8PEQd9rYG/FTUDIh8XnoKrRo52TCLwOb4WljqDbR+GyYBwcvZXMmIY+A6GyKSiuwM9XjYS9LpnRxoN91+2s87GVJTlEZx67kEJ1RxMnYXIz0tHE212dyZ3ue7OJQY6dqTbuVeNvYG/Pv8x1YczyZXRcyCEvM52RsLlbGujiZ6fFIO2eGta25/K2dqR5rJrbmy/1xhCflczwmF6USHM30GNjaCgA/V1P+ea4Dyw/Fsz8yi7/PZWCgq8DPxYSJne0Z3c6mxr4cnVxMmP2QG8eic4hMK+RMYj562lo4menxbE9HpndzrDGiYWGow9/PtGfh3hgOXR3JsTbWZWgbK954wJVfgpIb8Z0WQtzrzM3NJckQQjQaSTQamYm+Ni/1damuv7+RDdO81R5XKLSY2NmeiZ3t1barm98wpr0tY9rbqjlblbuVgdqdr5uqW43XzECHF/s682Lfuo/O9PIwp5fHjX8Ju1joM39E8zr1Z2eqx8w+zvXaa8TGRJeFI1uobXt9gOtd9bUTmpWfn88333zDxo0bOXfuHMXFxTg6OuLn58e0adMYOnToTftITU1l3bp1/P3331y4cIHExET09fVp06YNkydPZsaMGWhrq+4ddPz4cT7//HMCAgJISUnByMgIW1tbunbtyv/+9z8eeOCB6nOLiopYsmQJv//+OxEREZSWlmJlZYW7uzsPPvgg7733HgYGBir30ITu3bsTGBjIli1bGDVqlNpz3njjDRYtWsTrr7/OF198UaNt165drFixgsDAQDIzM7G2tqZ///688847tGvXrsa50dHReHh40KxZMyIjI1myZAk///wzkZGR6OrqkpWVBcCFCxeYO3cu+/fvr/76WFtb07FjRyZNmsTYsWOr+/T392fatGlMmTIFf39/ldhjY2P58ssv2blzJ1euXEFbWxtnZ2cGDBjA888/j4+PT43zw8PDWbBgAfv27SMlJQVTU1O6du3Kiy++yJAhQ+r9/m7fvp3ly5dz4sQJcnJysLe354EHHmDWrFm0adNG5Xx3d3euXLnC5cuXCQkJ4auvviIkJISsrCyCg4Px9fWtdwxCiFsniYYQQtwHrly5wqBBg7hw4QImJib07t0bc3NzYmNj+fvvv0lNTa1TorFr1y5eeeUVXFxcaNmyJd27dycpKYmjR48SGBjI7t272bx5c42RvN27dzNs2DBKS0vp2LEjvXr1orS0lLi4ODZs2ICZmVl1olFRUcGwYcPYu3cv5ubm9OvXD3Nzc5KTk7lw4QKfffYZM2fOxMHBodHeq/qYOnUqgYGB+Pv7q000ysvLWbt2bfW513v55ZdZunQpOjo6dOnSBRcXFyIjI1m/fj1btmxh48aNar8mSqWSsWPHsnPnTvr27Uvbtm2JiYkBIDQ0lF69epGbm0vr1q0ZMWIEWlpaxMfHs2vXLgoLC2skGjfyzz//8Oijj5KTk4OTkxODBg1CoVAQFRXFypUrsbOzq5Fo/Pnnnzz22GMUFxfj7e1Nnz59iIuLY9euXfz999+89957fPLJJ3V9a5k9ezbz589HoVDQu3dvnJ2dOXPmDD/99BO///47GzZsYNiwYWqvXbRoEcuXL6dr164MGTKE2NhYFAqZlirEnSaJhhBC3OMqKioYPXo0Fy5cYNSoUaxevRpLy2tLPefm5nL8+PE69eXn58exY8fo1q1bjeOJiYkMHTqUrVu38vvvvzN+/Pjqtnnz5lFaWsq6det4/PHHa1yXnp5OdHR09d8PHz7M3r176dSpEwcPHsTY2Li6TalUEhAQgJmZWZ1fe//+/Tlw4ECdz7/+XnUxYcIEXn31VbZv305aWho2NjY12nft2kVSUhJ+fn41Hsq//fZbli5dire3Nxs2bKB169bVbVu2bOHRRx9l4sSJREVF1fhaAdVJRXh4OJ6eNZcF//LLL8nNzWXu3LnMnj27RlteXh6hoaF1el0xMTGMGzeO3NxcPvnkE2bNmoWOjk6N9tTUa/PDkpKSmDx5MsXFxSxatIjXXnutum3//v0MGzaMTz/9lN69ezNo0KCb3n/Hjh3Mnz8fY2NjduzYQd++favbPv/8c9566y0mTpxIREQEdnaqZcjffvst27ZtqzUREULcGZJoCCHEPe7PP/8kODgYd3d3fv31VwwNDWu0m5qa8uCDD9apL3XlKgCOjo4sXLiQgQMHsmHDhhqJRnJy5VwidaUz1tbWWFtbq5zbp0+fGkkGgJaWFr169apTnFUGDx6Mu7t7va6pDwsLCx555BHWr1/PunXreOmll2q0V5UjXT+aUV5ezscffwzA77//XiPJAHjkkUd49tlnWbFiBb/88gsvvviiyn3nzZunkmTAjd9rExMTevSo21LiixcvJjc3l/Hjx/Pee++ptLu5ueHmdm1vpe+//56cnBx69epVI8mAymTvxRdfZMGCBXzxxRd1SjQWLVoEVI76XJ9kALz55pts2rSJY8eO8f333/Puu++qXD9t2jRJMoRoAiTREEKIe9zOnTsBmDhxokqScSvKysrYu3cvR48eJSkpiaKiIpRKJbm5uQBERETUOL9r166cPXuWJ554gnfffZfu3burnccB0KlTJ7S1tfnhhx9o1aoVY8eOxd5e/fy0upg1a9YtX1tXU6dOZf369fj7+9dINDIzM/nzzz/R09PjiSeeqD4eEhJCYmIi3t7etG3bVm2f/fr1Y8WKFRw9elRtojF69Gi113Xt2pUdO3YwY8YMPvnkE/r27Yu+fv2XJ6/6nvnf//5Xp/OrRo2mTJmitn369OksWLCAw4cPU15eXuvXHyq/v44cOQKolptVmTZtGseOHWP//v1qE40xY8bUKW4hROOSREMIIe5xV65cAVD55PxWRERE8Mgjj3Du3Llaz8nJqbnnz7x58zh9+jR///03f//9N0ZGRnTu3JkHHniAyZMn07z5tcUUWrRowZdffskbb7zBCy+8wAsvvEDz5s3p2bMno0aNYvTo0Td8SNWEhx9+GBcXF4KDgwkNDa2exP3bb79RXFzM2LFjsbKyqj4/KioKqCx9un4uizrXlydVsbOzqzVhfPPNNzl06BB79uxh4MCB6Ovr4+vrS79+/Zg0aZLKBPPa1Pd7Jj6+cvVDDw8Pte3u7u4oFAqKiopIT09XW+5UJT09neLiYhQKBc2aNVN7TtX3TNV9/6u264QQd5YkGkIIcY+72cNsfYwbN45z584xcuRI3nrrLdq0aYO5uTna2tpERETg5eWlMr/BwcGBoKAg9u/fz+7duzly5AiBgYEcPHiQTz/9lJUrVzJ9+vTq81988UUeffRRtmzZwuHDhzl8+DC//PILv/zyC76+vhw4cKDO8zTmz5/P+fPn6/061a3AVBuFQsHkyZOZN28e/v7+1WU/a9asAVQ/lS8vr9xo09nZmYceeuiGfat70L/RqJSRkRH//vsvgYGB7Ny5kyNHjlRP1F+4cCEfffQRH3zwwU1f061+zzTk99rt9NcQI3dCiNsniYYQQtzjqmrpL1y4cFv9nD9/ntDQUOzs7Ni0aZPKyEJkZGSt1yoUCh544IHq1aXy8/NZvnw5s2bN4oUXXmDcuHE1kgcHBwdmzJjBjBkzADh9+jSTJ08mJCSE+fPnM3fu3DrFvHPnzluaDF6fRAMqk4l58+axdu1aFixYwKVLlzh27BgODg4MHjy4xrmurpVLUjs6Otb7PnXVrVu36gn7JSUlrFu3jqeffpo5c+Ywfvx4vLy8bni9m5sbFy5c4MKFC7i43Hx5dmdnZ86fP09UVJTa+T7R0dFUVFRgYGBQY3RHHWtra/T19SkuLiY6OpqWLVuqnFM1KuTs3HQ2kxVCqJK13oQQ4h5XNfn2l19+oaio6Jb7ycjIAMDJyUlt+VLVMq51YWxszNtvv42LiwtFRUU3TYI6dOjAyy+/DFQmHXW1f/9+lEplvf+rr1atWtGzZ0+Sk5PZuXNn9WjGxIkTa6zWBJXzKKytrQkODr5hctZQ9PT0mDp1Kt27d0epVHLmzJmbXlP1PbNq1ao63aNfv34A/PTTT2rbV69eDUDv3r1V3o//0tHRqZ70X1t/VQla//796xSfEEIzJNEQQoh73KhRo/D19SU6OpqJEyeSnZ1doz03N5c9e/bctJ+WLVuiUCgICwvj4MGDNdpWr17Nr7/+qva6L774gtjYWJXjQUFBJCYmolAoqj/l37t3Lzt27KCsrKzGueXl5ezYsQNouvX3VSVSP/74Iz///HONY9fT1dXl/fffp7y8nEceeUTt0sIlJSX8+eef9S77+vrrr9UmbVFRUYSHhwN1e/9ee+01TExMWL9+PfPmzasu96oSGxvLyZMnq//+9NNPY2pqyuHDh1m6dGmNcw8ePMiyZcsAeP311+v0OqpWrlqyZEn1xPAqixcv5ujRo5ibm9d5sroQQjOkdEoIIe5xCoWCTZs2MXDgQDZt2sTu3btrbNgXEhJC586db7rEra2tLc8//zzLly9nwIAB9OvXDwcHB0JDQwkLC2P27NnMmzdP5bpPP/2UN998kzZt2tCmTRv09fWJjY0lICCAiooKZs2aVb0B35kzZ3j11VcxNzenU6dOODo6UlBQQGBgIImJiTg4OPD22283yvt0u8aPH8/LL7/M5s2bAVT2zrjeyy+/zJUrV/jyyy/p1q0b7du3p0WLFujp6REfH09wcDD5+fn8/fff9ZrE/91331VPoPfx8cHExISkpCQOHz5MSUkJEyZMoGvXrjftp1mzZvz+++889thjvPPOO6xYsYJu3bqhpaVVvev2+++/j5+fH1BZ6vbzzz9XvwerVq3Cx8eHhIQEDh06REVFBe+9955KGVlthg0bxttvv82CBQvo27cvffr0wcnJqfp7zcDAgF9++eW2ViQTQjQ+STSEEOI+4OHhwalTp1i2bBkbN27k0KFDlJeX4+DgwPDhw5k2bVqd+vnqq69o374933zzDcePH0dXVxc/Pz8+//xzWrdurTbRWLFiBbt37yYoKIh9+/ZRWFiIo6MjI0aM4Pnnn2fgwIHV544YMYKsrCwOHjxIZGQkAQEBmJiY4ObmxowZM3juueewtbVtsPelIZmZmTFmzJhadwL/r8WLF/PII4/wzTffcOTIEbZv346hoSGOjo4MHz6ckSNH0qdPn3rF8Omnn7Jt2zYCAwMJCAggJycHe3t7+vXrx9NPP13nXcGhci+OM2fOsGjRInbt2sX27dvR19fHxcWF5557jscee6zG+aNGjSIoKIgFCxawd+9eNmzYgKmpKQMHDuTFF1+s087z15s/fz69e/dm+fLlnDhxgoCAAOzs7Jg8eTKzZs2qdWlgIUTToaW8lWLUu9CpU6fw8/Nj2VhPWtrIahRC3I6LaYW8uDGSkydP0qlTJ02Hc8dU/Ry53163EOLOk5834l5w34xo2NjYYGRowIsbG3/inRD3AyNDA2xsbDQdhhBCCCGaqPsm0XBzc+Pc+QukpaVpOhQh7gk2NjbVy6YKIYQQQvzXfZNoQGWyIQ9GQgghhBBCND5Z3lYIIYQQQgjR4CTREEIIIYQQQjQ4STSEEEIIIYQQDU4SDSGEEEIIIUSDk0RDCCGEEEII0eAk0RBCCCGEEEI0OEk0hBBCCCGEEA1OEg0hhBBCCCFEg7uvNuwTQoiGcO7cOU2HIIS4x8nPGXEvkERDCCHqyMbGBiMjIyZNmqTpUIQQ9wEjIyNsbGw0HYYQt0xLqVQqNR2EEELcLWJiYkhLS9N0GPelsrIypk+fTm5uLr/++isGBgaaDumeVFRUxOOPP46ZmRk//vgj2tramg7pvmVjY4Obm5umwxDilsmIhhBC1IObm5v84teQBQsWcO7cOY4cOUL37t01Hc49bf369fTu3Zt9+/bx1ltvaTocIcRdSkY0hBBCNHnh4eF06tSJV155hQULFmg6nPvCW2+9xVdffUVwcDBt27bVdDhCiLuQJBpCCCGatNLSUnr06EFBQQGnTp2Skqk7pKioiI4dO2JiYsLRo0fR0ZEiCCFE/cjytkIIIZq0hQsXEhwcjL+/vyQZd5CBgQFr1qzh1KlTLFy4UNPhCCHuQjKiIYQQoskKDQ3Fz8+PN954g7lz52o6nPvS7NmzWbRoESdPnqRdu3aaDkcIcReRREMIIUSTVFpaSrdu3SgpKeHkyZPo6+trOqT7UnFxMX5+fujr63Ps2DF0dXU1HZIQ4i4hpVNCCCGapHnz5nHmzBnWrFkjSYYG6evr4+/vz+nTp5k/f76mwxFC3EUk0RBCCNHkhISE8MknnzB79mz8/Pw0Hc59r3PnzsyePZuPP/6YkJAQTYcjhLhLSOmUEEKIJqWkpISuXbuiVCo5ceIEenp6mg5JUPl16dy5MwqFguPHj8vXRQhxUzKiIYQQokn57LPPCA8Px9/fXx5mmxA9PT38/f0JDw+XiflCiDqRREMIIUSTcerUKT777DPee+89OnbsqOlwxH906tSJd999l88++4xTp05pOhwhRBMnpVNCCCGahOLiYjp37oyOjg7Hjx+X1Y2aqJKSErp160Z5eTknTpyQifpCiFrJiIYQQogm4ZNPPuHChQusWbNGkowmrKqE6vz583zyySeaDkcI0YRJoiGEEELjTpw4wfz58/nggw9o3769psMRN9GhQwfef/995s+fT1BQkKbDEUI0UVI6JYQQQqOKiorw8/PD0NCQo0ePymjGXaK0tJTu3btTVFTEqVOnpIRKCKFCRjSEEEJo1Jw5c4iMjMTf31+SjLuIrq4ua9as4eLFi8yZM0fT4QghmiBJNIQQQmjMsWPH+Pzzz5kzZw4+Pj6aDkfUk4+PDx999BELFy4kMDBQ0+EIIZoYKZ0SQgihEYWFhXTq1AlTU1MCAgLQ0dHRdEjiFpSVldGzZ09yc3MJDg7GwMBA0yEJIZoIGdEQQgihER988AGXL1/G399fkoy7mI6ODv7+/kRFRfHBBx9oOhwhRBMiiYYQQog7LiAggEWLFvHJJ5/Qtm1bTYcjblPbtm355JNP+OKLLwgICNB0OEKIJkJKp4QQQtxRBQUF+Pr6Ym1tzeHDh9HW1tZ0SKIBlJeX07t3b9LT0wkJCcHIyEjTIQkhNExGNIQQQtxR7733HrGxsfj7+0uScQ/R1tbG39+f2NhY3nvvPU2HI4RoAiTREEIIccccOnSIJUuW8Nlnn+Hl5aXpcEQD8/Ly4tNPP2XJkiUcPnxY0+EIITRMSqeEEELcEfn5+XTo0AEHBwcOHDggoxn3qPLycvr27UtKSgohISEYGxtrOiQhhIbIiIYQQog7Yvbs2SQkJLB69WpJMu5h2trarF69mvj4eN555x1NhyOE0CBJNIQQQjS6/fv3s2zZMubNm0fLli01HY5oZK1atWLevHksXbqUAwcOaDocIYSGSOmUEEKIRpWXl0f79u1xcXFh//79KBTyGdf9oKKigv79+xMXF8eZM2cwMTHRdEhCiDtMftoLIYRoVG+//TbJycmsXr1akoz7iEKh4McffyQ5OZlZs2ZpOhwhhAbIT3whhBCNZs+ePXz99dcsXLiQFi1aaDoccYd5enqyYMECVqxYwd69ezUdjhDiDpPSKSGEEI0iJyeHdu3a0bx5c/bs2SOjGfepiooKHnzwQS5fvkxoaCimpqaaDkkIcYfIT30hhBCN4s033yQ9PZ0ff/xRkoz7WFUJVVpaGm+++aamwxFC3EHyk18IIUSD++eff/juu+/44osv8PDw0HQ4QsM8PDz4/PPPWblyJbt379Z0OEKIO0RKp4QQQjSo7Oxs2rVrh5eXF//88w9aWlqaDkk0ARUVFQwcOJCIiAjCwsIwMzPTdEhCiEYmIxpCCCEa1Ouvv05WVharVq2SJENUUygU/PDDD2RmZvL6669rOhwhxB0giYYQQogG8/fff/PDDz+waNEimjVrpulwRBPTrFkzFi9ezKpVq9i5c6emwxFCNDIpnRJCCNEgsrKy8PHxwdvbm507d8pohlBLqVQyePBgwsPDCQsLw8LCQtMhCSEaiYxoCCGEaBCvvvoqubm5UjIlbkhLS4tVq1aRm5vLa6+9pulwhBCNSBINIYQQt23btm34+/uzZMkSXF1dNR2OaOJcXV358ssvWb16Ndu3b9d0OEKIRiKlU0IIIW5LRkYGPj4+dOzYkW3btslohqgTpVLJsGHDCAkJITw8HEtLS02HJIRoYDKiIYQQ4ra8/PLLFBQU8N1330mSIepMS0uL77//noKCAl5++WVNhyOEaASSaAghhLhlW7du5ZdffmHp0qU4OztrOhxxl3F2duarr77i559/5s8//9R0OEKIBialU0IIIW5Jeno63t7edO3ala1bt8pohrglSqWSkSNHEhQURFhYGNbW1poOSQjRQGREQwghxC158cUXKSkpYeXKlZJkiFumpaXFypUrKS4u5qWXXtJ0OEKIBiSJhhBCiHrbuHEjv/76K8uWLcPR0VHT4Yi7nJOTE0uXLmXdunVs2rRJ0+EIIRqIlE4JIYSol9TUVLy9venVqxebNm2S0QzRIJRKJaNHj+bo0aOEh4djY2Oj6ZCEELdJRjSEEELUy8yZM6moqODbb7+VJEM0GC0tLb799lvKysqYOXOmpsMRQjQASTSEEELU2e+//87vv//OihUrsLe313Q44h7j4ODAihUr+O233/jjjz80HY4Q4jZJ6ZQQQog6SU5Oxtvbm/79+/PHH3/IaIZoFEqlkkcffZQDBw4QHh6OnZ2dpkMSQtwiSTSEEELclFKpZNy4cRw8eFAe/kSjS0lJwdvbm379+klSK8RdTEqnhBBC3NRvv/3Gpk2b+PrrryXJEI3Ozs6Or7/+mo0bN/L7779rOhwhxC2SEQ0hhBA3lJSUhLe3Nw8//DDr16/XdDjiPjJ+/Hj+/fdfwsPDcXBw0HQ4Qoh6kkRDCCFErWTJUaFJaWlpeHt706NHDzZv3iwlVELcZaR0SgghRK3Wrl3L1q1b+fbbbyXJEHecjY0N33zzDVu3bmXdunWaDkcIUU8yoiGEEEKthIQEvL29GTp0KGvXrtV0OOI+9sQTT7Bz507Cw8NlJ3oh7iKSaAghhFChVCoZOXIkQUFBhIWFYW1tremQxH0sPT0db29vunbtytatW6WESoi7hJROCSGEUPHTTz+xbds2Vq5cKUmG0Dhra2tWrlzJX3/9xc8//6zpcIQQdSQjGkIIIWqIi4vDx8eHkSNH8tNPP2k6HCGqTZ48mb/++ovw8HCcnZ01HY4Q4iYk0RBCCFFNqVQydOhQTp8+TXh4OJaWlpoOSYhqGRkZ+Pj44Ovry/bt26WESogmTkqnhBBCVFu9ejU7d+7k+++/lyRDNDlWVlZ89913/P333/j7+2s6HCHETciIhhBCCABiYmJo164dY8eO5ccff9R0OELUatq0aWzatImwsDBcXV01HY4QohaSaAghhECpVDJo0CDOnj1LWFgYFhYWmg5JiFplZWXh4+ODt7c3O3fulBIqIZooKZ0SQgjB999/z+7du1m1apUkGaLJs7Cw4Pvvv+eff/5h1apVmg5HCFELGdEQQoj7XHR0NO3atWPChAl8//33mg5HiDr73//+x2+//UZYWBjNmjXTdDhCiP+QREMIIe5jFRUVPPzww1y8eJGwsDDMzMw0HZIQdZadnU27du1o1aoVu3fvlhIqIZoYKZ0SQoj72MqVK9m7dy8//PCDJBnirmNubs4PP/zAnj17WLlypabDEUL8h4xoCCHEfSoqKor27dszadIkvv32W02HI8Qte/bZZ1m7di2hoaF4eHhoOhwhxFWSaAghxH2ooqKCBx54gOjoaEJDQzE1NdV0SELcstzcXNq1a4eHhwd79uxBoZCCDSGaAvmXKIQQ96EVK1Zw4MABfvzxR0kyxF3P1NSUH374gf379/PNN99oOhwhxFUyoiGEEPeZyMhIOnTowLRp01i+fLmmwxGiwbzwwgv4+/tz5swZWrRooelwhLjvSaIhhBD3kYqKCvr160d8fDxnzpzBxMRE0yEJ0WDy8vJo3749Li4u7N+/X0qohNAw+RcohBD3kaVLl3L48GFWr14tSYa455iYmPDjjz9y6NAhli1bpulwhLjvyYiGEELcJyIiIujQoQPPPPMMX331labDEaLRvPTSS6xatYrTp0/TsmVLTYcjxH1LEg0hhLgPlJeX07dvX1JSUggJCcHY2FjTIQnRaPLz8+nQoQMODg4cOHAAbW1tTYckxH1JSqeEEOI+sGTJEo4ePcrq1aslyRD3PGNjY1avXk1AQICM3gmhQTKiIYQQ97jz58/j6+vL888/z+LFizUdjhB3zKuvvsq3335LcHAwrVu31nQ4Qtx3JNEQQoh7WFlZGb169SIrK4vg4GCMjIw0HZIQd0xBQQG+vr5YW1tz+PBhKaES4g6T0ikhhLiHLVq0iKCgIPz9/SXJEPcdIyMj/P39CQwMlNE8ITRARjSEEOIedfbsWTp27MjLL7/MwoULNR2OEBrzxhtvsHz5ck6dOkXbtm01HY4Q9w1JNIQQ4h5UVlZGjx49yMvLIzg4GAMDA02HJITGFBYW0rFjR8zMzAgICEBHR0fTIQlxX5DSKSGEuActXLiQU6dO4e/vL0mGuO8ZGhri7+/PyZMn+fzzzzUdjhD3DRnREEKIe0xoaCh+fn68/vrrzJs3T9PhCNFkzJo1i8WLF3Pq1Cl8fHw0HY4Q9zxJNIQQ4h5SWlpKt27dKCkp4eTJk+jr62s6JCGajKKiIvz8/DA0NOTo0aPo6upqOiQh7mlSOiWEEPeQ+fPnc+bMGfz9/SXJEOI/DAwM8Pf3JyQkhAULFmg6HCHueZJoCCHEXSgpKYnS0tIax0JCQvj444+ZNWsWnTt31lBkQjRtXbp04e233+bjjz/m9OnTmg5HiHualE4JIcRdRqlUYmtry1dffcXEiRMBKCkpoWvXrlRUVHDixAkZzRDiBoqLi+ncuTM6OjocP35cSqiEaCQyoiGEEHeZpKQk0tPTMTExqT722WefER4eLiVTQtSBvr4+a9asITQ0lLlz52o6HCHuWZJoCCHEXeby5csAeHh4AHDq1Cnmzp3LO++8Q6dOnTQZmhB3jU6dOvHOO+/w6aefEhwcrOlwhLgnSemUEELcZdatW8fEiRPJzs5GX1+fLl26oFAoOH78OHp6epoOT4i7RklJCV26dEGpVBIUFCT/foRoYDKiIYQQd5nLly9jZWWFmZkZn3zyCefOnWPNmjXVD0mXL18mNjZWw1EK0fTp6emxZs0azp07xyeffKLpcIS450iiIYQQd5nLly/j4eHBiRMnmD9/Ph988AEdOnQgPT2dl156iVatWjF//nxNhynEXcHX15f333+fefPmERQUpOlwhLinSOmUEELcZR566CHMzMy4cOECBgYGHDp0iO+//56PPvqIsrIy3nnnHV555RUMDAw0HaoQdwXZ6FKIxiEjGkIIcZe5fPkyCQkJREREMG3aNDp27Mhrr73GuHHjuHjxIrNmzZIkQ4h60NXVxd/fn4iICD766CNNhyPEPUNGNIQQ4i5SXl6Ovr4+5eXltGjRgkuXLvHggw+yePFi2rdvr+nwhLirffbZZ3zwwQccPXqUrl27ajocIe56kmgIIcRd5OLFi7Rq1QqAli1b8sUXXzBixAi0tLQ0HJkQd7+ysjK6d+9Ofn4+wcHBMjIoxG2S0ikhhLiL6OjoYGJiwttvv01YWBgjR46UJEOIBqKjo8OaNWuIioriww8/1HQ4Qtz1ZERDCCGEEOI68+fP59133+Xw4cP06NGj+vj+/fvJzs5m1KhRGoxOiLuHJBpCCCGEENcpKyujV69eZGVlERISgqGhIQDPPPMMp06dkmVwhagjHU0HIER9xcTEkJaWpukwhBCimo2NDW5ubpoOQzQQHR0d/P396dixI++99x6LFi0CoFmzZmzcuFHD0Qlx95BEQ9xVYmJi8GrTmqKCQk2HIoQQ1QyMDLlw7rwkG/eQNm3a8Omnn/LWW28xevRoevfujYeHBxkZGeTk5GBmZqbpEIVo8iTREHeVtLQ0igoK8Vk+AeOWdpoORwghyL+YQtjM9aSlpUmicY959dVX2bRpE9OmTeP06dN4eHgAEB0dLctJC1EHkmiIu5JxSzvM2jtrOgwhhBD3mPfeew9nZ2eefvppdHR0WL16Nb6+vrzzzjvMmjULqNw0UxINIW5OlrcVQgghhLiqtLSUF154gQ4dOrBr1y68vLyYO3cuX331FefPn8fAwIDLly9rOkwh7gqSaAghhBBCXLVgwQKCgoKwsbFh8ODBDB06lIcffpjevXvz1FNP4ebmJomGEHUkiYYQQgghxHU6derE/v372bhxIxcuXMDX1xcPDw8SEhIoLi4mOjpa0yEKcVeQREMIIYQQ4j+0tLQYM2YMZ8+eZd68eWzduhUtLS2uXLlCWFiYpsMT4q4giYYQQgghRC309fV58803uXjxIk8++SQAV65c0XBUQtwdZNUpIYQQQoibsLOz49tvv2XChAns2rVL0+EIcVeQREOIJi4j4BInx36HZY/mdN70bJ2v2+34NgAPJy5orNA0KmjMSjKPRuG38RmserZo0L7Lcos40utzDF0t6bp9ZoP23RBCpq4h43AkvY68ib79vb9pWNXXujbW/VvR6den6t1vRXEZ0d8cJGlLCIVXMlAY6GDewQW3Z/tgM8DrdkIW97D+/fvTv39/TYchxF1BEg0hGkjCb0GEv/IHjo/54fPVY5oO5652q8lVQ4la/C8lqXm0++aJO37vumjx1kBS/zlH5LydeC+5f77XrPu3Qs/OVOW4SRuHevdVXlBC0LjvyAmORdfaGJuHWlOWXUjG4UukH7hIqw+H0WxG34YIWwgh7luSaAghxHUKYzOI+SEAi24eWPVq2JGShmLa1hG7Id4k/H4Kt2f6YNrWUdMh3RHuL/ZvsNGri5/9TU5wLJY9muP781R0jPUByD4VQ9C474j4eAeWvVpg1k42Bq0SExNDWlqapsMQ4p5gY2ODm5ubpsNodJJoCCHEdWJXH0VZWo7zE100HcoNOT3emZQdYcT+cIS2i8Y16r2UFRVkBkRh1duzUe9zp5RmFhD3cyAotPBe8mh1kgFg3skN9xf6EfXFv0Qv20f77yZpMNKmIyYmhtZebSgsKtB0KELcEwwNjDh/4dw9n2xIoiHuadfPU4j7OZC4n46RH5mKtqEult09aPHWQExaqy+7KC8oIXZ1AMl/hZJ/KRVlWTmGblbYj2hPs+f61ng4OdRlPkVxmQAk/n6SxN9PVrddX0qVdyGZpK2nyTh0kcLYTEozCtAxNcDM1wW3p3ph88CdqQuvKC0nft0JkjYFk3chmYqiUvSdzLF9uA0eLw5Az8akxvnXl4W1/mwUUYv/JXlbKMXJOehZGWM7sC2eswaha2mkci+lUkn8L8evvvcpaBvpY9nNneZvPkzumXiVcrPr6/Ezj0ZVfw2BWkupck7HcWnxv2SfuEJ5QQlGLWxxe6onzk90rdf7Ul5USsL6ILSN9LAf3q7W84ris7jy3SHS90VQGJeJlrYCAwczLHu1wHVqj+rvqcLYDA53XYCBiyW9A98i5rvDxP96gsKYDHQtjbAf0R7PtwehbaRHaVYBUYv+JWXnWYpTcjBwtsD1ye61lu/YDPBCz9aExM0htPxgGLrmhvV6rXWRczqOxM0hJG89TXFSzj0z3ydtz3mUpeVYdHXH0M1Kpd1xTEeivviXtD0XqCgtR6GrrYEom5a0tDQKiwoY67kMG8OWmg5HiLtaWuFFNka+SFpamiQaQtwLLnzwFzE/HMGymwe2g9uSGxpPyt/hpO2PoNOvT2HZzaPG+UUJWZx6/AfyI1LQtTbGws8NhYEu2SGxlQ+Df4fTeeMz6FpUPljbD/ch+2QsWSeiMXS3xqKre3Vf1//5yneHSFh3AuOWdpi2dUTH1IDCKxmk771A+t4Ld6QuvCy3iOBJq8k6Ho2OmQFm7Z3RMTMkJzSemO8Ok7I9jM6bn8XQVfUBrCyniBMjv6Y4KQeLbh6YtHYg63g0cT8dIzs4lq7bX1B5KDv35ibi1x5HS0eBZY/m6Fobk3M6juNDV+D8eGeVe1gPaIVCX4f0/RHo2Zpgfd2kXGNPW5Xz0/dFcGXlIYxb2GLVryVF8Vlkn7jC2dc3UppThHs93s+swMuUZhZg1dcTbSM9teek74/gzDO/UJZbjL6DGTb9W4FCi8IrGcT9HIiejYna5DX0+V9J230ey57NMfKwIfPYZWK+O0z+xRTarXic48NXUJZXjEVXd8qyC8k8GkXER9upKC7D4+UHVPrT0lZg2bM5yVvPkHHoIvbD29f5dd5IweU0EjeHkLQphIJLqQDomOrj+Jhfg/R/O1J2hJOyI5yKkjL0Hcyw6tkCy+4eN7/wP3LCEgAw83VR227kYYOOhSFlWYUURKVi4lX/OSD3KhvDljiZ1J6ECyHE9STREPeFuF8C6bzhGSx7NAcqP2WPnLuT6OX7CXv+V3oeeRNtA93qtjPPriU/IgXX6T1p+d5QtA0r28oLSzn35kYSNwZz4cNt1Z/Ct/pwOAm/BZF1IhqLru61TgZ3HNuJ5q88oPIQn30qhlMTVnFx7k7sR7bHwMmikd4JOPvmRrKOR2M3vB1tPx9TnSwpyyuInLeT6BUHCH/5D7UjB6k7w7F5sDVd/nq+ekSnKCmHE8OWkxsaT/KfZ3Ac27H6/JS/w4lfexwdc0P8fn8as/aV9e7Kigoufvo3V745qHIPjxcHYO7nRvr+CIw97W46sT56+X7aLh6H8+PXSp0SN5wi7MXfuLz4X1yf7F5r0vBfmQGVIynmfs3UthfGZXL66V8ozyumxVsDcX+xPwod7Rrtpen5KtcVxWWi0Neh55E3MXCoXCWqKD6LYw9/Rfq+CILGrMSkrSM+y8ZXfx+m/nuOkMn+XF6+H7ene6t9DRZ+zSoTjcOXbivRKE7JJXnraRI3h5ATHAuAwkAXu+HtcHjEF5sHvarjul7VpP36av76Q7R44+F6Xxf7w5Eaf49iNxZd3Gn3zeMYOFvUuZ+imAwADF0saz3HwMmCvKxCCmMyJdEQQohbJImGuC+4TulenWRA5Y6vnrMGkfzXGQqvZJCyPaz6ATl97wWyg2Iw93PD65MRaCmu7WupbahLm4VjSD9wkaRNwXh9NLz6Qb0urHo2V3vcvJMbrtN6cnnpPlJ3ncV1Ws9bfKU3lnchmeStZzBwscRn6fjqBAoqPyH3fGcwaXsvkHk0itxziZi2qTnJWNtYj7aLx9UoGzNwMMN1ek8ufvo3GYcjayQaMVcfDJs926c6yQDQUijwnD2YpK2nKU7Ivq3XZDfMp0aSAeA4rhOXl+4j/2IKOafjanztbyQ3PBEA45Z2attjVh6iPK8Y+1Htaf7qgyrthi6WtT68tv50ZHWSAWDgbIHj2I7ErDpCYVwmfhueqfEwb/tQG0zaOpJ3NrHW12DcqjLO3Kuf0NdHWV4xKTvCSNwYTOaRSyjLK9DSUWD9gBcOj/hiN8QbHRP9G/ahb2t6SyMdpt5O9Trfops7jo92wqKbBwaO5pSk55EddIXIebvIOhHNyfHf0/2fl+ucUJbllwCguMH52saVbWV5xfWKVQghxDWSaIj7guPYTirHtLQVODziy+Wv9pIZcKn6ATlt7wWg8gH2+iSjiraRHmYdXEjbc56ckDis+7eqVyxlecWk/XuO3PBESjMLqCgtBypLVgDyLzXeqi5p+ypfm+3DrWskGVW0FAosunmQdy6J7KAYlUTDrL0L+mqWFzXyrHzgLU7KqT5WUVZOdlDl7rkOY3xVrlHoamM/rB0x3x++5dcDYPtwG7XHjT1tyb+YQnFyjtp2dUrS8gDQUzPXBCBtXwRAved+aOlqY9VHdSK1oYcNAGYdXNCzNlZpN/KwJu9sYq2voSrJLUnNq1c8Fz/7m5hVR6goKgUtLSy6uePwiC/2w9upjaM2xi1vPuLUEDzfHlTj71UJnfUDXgQOXErBpTRi1xzF/bl+jR6LEEKIupNEQ9wXDNzUf8ps4Fp5vCjx2qfqhVcqyyoufryDix/vuGG/JWrKZG4kZWc4Z1/bQGlm7Su3lOcV1avP+qh6bbGrjxK7+ugNz1X32morT9Exrfzku6K4rPpYaUZB5d8VWrWWghm4qD9eH7XFpG1qoBLTzZTlFl29Vv0n+UXxlRP+1c0VuRF9WxO0tFWTVp2rn5obOJqrvU7bWPV9rdF+9TWW5hTWK57skzGVSQbgNN6PZs/1xaSVfb36aAp0zQxx+19vLrz/J2l7LtQ50ah63ysKSmo9p/zqqMfNRnWEEELUThINIf5DWV4BVK5wVJWI1KY+D8pFCVmEPvcrFUWluL84AIfRHTB0tULbSBcthYK4nwM599YmlMrbif7Gql6baXvnWlfbqmLipebBU6F1azeu5TJ1I0b1dqsxqaFjVvngXp5bW7nMLd7rZq/zFl9D+dXEqL4rTrV8bwjxv54gZXsYCeuDSFgfhElbRxxGdcDhkQ5qV2JSJ/9iCpeX769v2NgN9sZuiHe9r1OnKukrTqp7CV7Vv+vCqyvFqVOUkAWA4U1+BgghhKidJBrivlAUm4mut+rDWFFs5YOG/nWfKBs4Vf7ZfkS7Bp0rkbr7PBVFpdgN86HlO4NV2gui0xvsXrWpGlmw6tWCVh8Ma9R76VoaoaWnjbKknOKEbLUPr4WxGY0aQ31VLetbUsuIk4GzBQWXUsm/lNaoE/brqmpk7L/LEd+MeSc3zDu50XruI6TtvUDSpuDqncYj5+3EvJMr9qM6YD+yQ415Jf9VnJpbYynnujJ0tWywRKPqa6VtVPeRh6pN+HJC4tS2F1xOoyyrEIWhLkbNbW4/SCGEuE9JoiHuC4mbQlQmoCrLK0jaehoAq+sm2lo/0Jr4dSdI/iu0XomG1tVlXZVlFWrby7IqH4jUPaBWFJeRsj20zve6VTYPeHFpwS5Sdobj+c7gGismNTSFrjYWfs3IPBpF0uYQlSVaK0rLSdkeVuu1UPt72VhM2zmT9u958iOS1bZb929FwaVU4tcdx1rNnIs7Le9qnKa3uHu1Qlcbu0FtsRvUtnpyeNLmEDIORZJ9KpaIj7Zj2c0Dh0c6YDdMdf6GVc8WGt9bI/nPM0DtS9WqY/Nga7R0tckKukJhTIZKEpy4KRgA24dao9CTX5NCvS9PdSOrOI5XOh7D0sD1tvvbHPkKIal/8EiLxXS0G98AETa8M6mbOZH8E8kF51Aqy7Ex9MTXbjxd7J9EoXVrI9QXM/dxNPE7EvLOUKYswlK/GT42o+jlNAMdhZQu3u0aoG5BiKYvzv8omYGXq/+uVCq59PluCqPT0Xc0w27YtXXh7Ya0xbS9M5lHozj71ia18ymKU3KJ+yWwxjF9h8qRkPyLKWpjqJownbI9lOLU3OrjFSVlnH93a/X8icZk1t4Z28HeFF5OJ/SZtdXlIdcrzSog7qdjVJSV3/b9XKdXJmrR3x6ssTKSsqKCSwt2URSven+49l4WRKc1SBx1ZdWrBVA5h0GdZs/2QdtYj+Qtp7m8dF91KVqVovgsck6r/5S8MVTFadWrbqtq3YiOiT5Oj/nR6den6BvyLl6fjsTc14XMo1Gce3szB30/ve173IqMgEtkBESh/E9NYXlBCRGf7CB1ZzhaOgrcnlL9UODko99xpPcXpOyomdDqWhrhMqkrVCgJf/UPyvKvlcpln4ohesUB0NLC/cUBjfOihLgLbYt6h42RM0nIO0Mz0640N+9LelEUOy6/y+8Rz1ChrP8HQ4fjv+aX85O4nH0ERxMfWlo8SH5pGntjF7I6fBwl5fWbfyaaHvmoRtwXnCd2JWjMSiy7e6Bvb0bOmXgKLqWiMNDFZ/njNZd5VSjwXf0kwZNWE/9zIEmbQzBt64iBswUVRaXkR6WRH5GCno0xLpO6VV9n4eeGnp0puaHxHBu0FBMve7R0tbHo0gznCV2wHdQGUx8ncsMSONLzcyx7NkdbX4esE1coyynC9aleKvsENAafpY8RMmVN5YaF+y5UvjZXS5RlFRReySDvXBLK8orKZUtvc8TDfng7nB7vTMKvQQQOWYZlz+boWZuQczqOooQsXKZ0J27NMZVN/gxdLavfq2MPLMGsvTNa+joYt7DF/fnGW1nIokszdK2MyQqq3GH8v8ulGrpa0n7lRM48u5bIeTuJ9Q/AvKMbaEFhTCa54Qk0f/VBzDrU/dP1W1VRVk5mQBQKQ12s+jTsTs16Nia4PdULt6d6URCdTtKmYJI2hzToPeoqNyyBiA+3oWdvimlbR3QtjChJyyM3LIHSzAIU+jq0XTRO7V4XBdEZFMVlVk/yv57nu0PIDo4lMyCKI90XYtnDg9Lsouqlflt+OKy6xEoIdaa0/Y1yZRlmeg2zz8pDbrPp7TwTU131y2tr0tn07ZxIXoOJrh3TvTdibVj54UZeSSr+Zx/lXMbfBCb9SA/H/9W5z/i80/wbMxddhSFT2/6Oi2nl6pDF5fmsPfckV3KPsSd2PkPcP2qU1yTuDBnREPeFVh8Np/VnoyjNKiTl73BK0vOwHexN1x0vqN3bwsDJgq47ZtJ67ihMfZzIi0gmeVsoWSdjUOjr0GxGHzr8MLnGNQp9HTqtm47NQ60pis0kcWMwCetOkHm0ciRFoaNN580zcH+hH/r2pmQcuEhmYDQW3T3otuslzNrVb2+BW6VjaoDfH0/jvXQ8lt08KIiu3Eck89hllEolzpO70enXp9Ru0HYr2n4xltbzR2PsZU9WYHTlRnwt7ei67QX07Svr/3WtVJdU7fDjZOxHtqc0q4CkLadJWHeCtH/PN0hMtVHo6eD8RBcqCktJ3qa+lM3mwdb02PsqrtN6oDDQJW3PeTIOXqSiuBTXKd2xH9EwO3TfTPq+CErS8nAc7VvvyeD1YeRuTfPXHqLnoTca7R43YtmjOS5PdsfAwZzcsITKf4dBV9CzNcF1ek+673mlxt4tdaVjrE/nzTNo8dZAdC2NSN19rnK/kl4t6Lhuer12lBf3JysDd2wNPdFWNMzPSlM9e2wNPTHQqX1elKYcil8OwMPN3qlOMgBM9GwZ7jEPgMPxK+o1qnE4fjlKlPR2eqE6yQDQ1zbmEc/FaKHgRNJPFJbd3l5LQrO0lP8djxaiCTt16hR+fn6VD+btb/5p427HtwE0Xkcu1Dv52PdkHIqk/feTsB/e7uYX3AGFcZkc6fU55h3d6LJlhqbDqdXp6T+RsvMs3f99GdO2jje/QDSanDPxBA5aysmTJ+nUSXXPnntB1c/eZ9vtxMmkafxbbUiJ+WHsi11ETM5xypTF2Bh60tVhKp3sJvDh0crfNR/1iK9xTW1zNFaHjyM65yhT2/6BvrYJ++MWE5N7gtLyQqwNm9PN4Sn87B9XiaGpztHILk5g8akuaGvpMbvLWXS1VT/YWHTSj5ySJJ7y2YKbaRc1vdRUVlHC/BNtKa0o5OWOR7AycFc554ewR4jJPcFYz+W0tx3dEC+lyUjIC2Vl6OB7+mdGFRnREEI0qrwLSZT/Z7+CitJyor7cQ8ahSHStjbF5sLWGolNl6GKJ21O9yAq8TMaRS5oOR63cs4mk7DyL02OdJMkQ4jZFZR9mVegoLmT+g7GeDV6WA9HXNuGvS2+xK/qTW+43Mms/q8JGklkUSwvzfjiatCO54Bx/Rr3BkYRvG/AVNK6k/Mo5TnZGrdQmGQBOxr4AJOaH16nP9MJLlFYUYqhjoTbJAHAy6XC1T/WLhoi7g8zREEI0qstL95Pydxhm7ZzRdzSjLLuIvPNJFCfloNDXwfurx9TuUq5JzV99kMQNp4ict5Ou217QdDgqLi38B20jXTxnqy6TLISou5LyQjZdfIkyZRH9XF5lgMvraGlV7msTk3uCn89OvOW+DyesYFSLRXSym1B97HTqRjZFvsSBuCV0sZ+CXi0P7nWVWRTLkuDu9b7O1/ZRRnsuqds9imMBMNerfe6ZuX7lqE9WkfqFNGrvs/bKhKq2rOK69SmaJkk0hBCNymF0B8rzi8kNjScnNB5leQX6dmY4PtqJZs/1xbRN0/tEXsfUgH5n3td0GLXy9Z+i6RCEuCeczdhGbmky1gbN6e/yWnWSAeBm2oUuDlM4kvD1LfXd1mpojSQDoIPtWA7FLyO18CIJ+adxN6t/knA9PW1jfG0frfd1bqZd63xuSXn+1XsZ3SCOyrbi8rwG7NP4ap/5depTNE2SaIh7mszN0Dzbh9pg+1AbTYchhBAqorOPAeBjPVLtPhDtbR655USjleVDao/bGHqSWniR3BL1+/XUh7GuVZ1HJoTQBJmjIYQQQoj7Um5JEgDm+urLgmo7XhdV5UT/pa9tAkBZheqyy01R1chCSbnqnlJVqtqqXlvD9Jl/tU/VVQnF3UNGNIQQQghxX7u+ZKrG8dv4PPZ2rq2r/NIM/rnycb2vczPtip/9E3U610K/ckWt7JLaNyPNKUmoce7N+3S52md8refUt0/RNEmiIYSos0Nd5lMUl0nv429j6Gp12/2Fvfw7ib+fxHvJoziN79wAETa8xE3BxK05Rt65RJTlSow8bXGe0BmXKd3RUtTvQaIoPovUfyv3a8gJiSM/IqVyc7gPhuL+XO0bEd7p64S4X5jq2QOQVaz+ITrr6qTlpqqkPJ+Q1D9u6dq6JhqOxt4ApBREUFpeqHblqfi8kKvn+tSpTxtDT3QVBhSWZZFRFK125an69imaJkk0hBCiFudmbyHO/ygKAx2senuipaNNxuFIzr+ztXL/j1WT6pVsJG8PJeLDbfWO405fJ8T9oplZN4JTfyM8/S/6u7ymMk8jNG2rhiKrG0sDV5X9PRqaub4zjsbtSMwPJTxjm8rk8+jso+SUJGKia4eLqV+d+tRR6OFp8QDnMnZwJnUz/V1frdGeUXSF2NyTaGvp0dLywQZ7LeLOkzkaQog68/vjaXoefB19B/MG6a/lO4PpefB1bId4N0h/DSl5Wyhx/kfRszOl+55X6fjzNHxXP0mvgDcxbmlHyt/hxP4QUK8+Dd2scPtfL7yXjqfHgddwHFe3jZru9HVC3C+8rUdgomtLWmEkB+O/4vo9jONyT3Ei2V9zwTUhfZxnArD7ylzSCy9XH88rTWPb5XcA6O38gkqiFpi4mmXBfdl08SU1fb6AFlocTlhBXG5w9fHi8ny2XnodJRV0cXgSQ52G+X0jNENGNIQQdWbkbt2g/enbm6Fvb9agfTaUy8v2AdDy3SEYN7epPq5va0rr+aM5OXYll5fvx/WpnnUe1bAb7I3d4OuSKoX6unBNXyfE/UJP24gxnktZd34q+2K/ICxtKw5G3uSVpnAlJ5BujtM5mvg92lpNa6+fO83bejhd7J/kRPJPfH36IZpb9EZbS5eo7MMUl+fS2nIw3RymqVxXUJZBWtElTPTsVNqcTXx5yO0ddsd8xg9ho/Aw74WBjhnROcfIL03DxaQjD7rOuhMvTzQiSTSEuE/lhiVw6YvdZAZepqK4DGNPO1yn9cD58S7sdnwbUF0euLY5GkFjVpJ5NAq/jc+gY6zPpcX/kn3iCuUFJRi1sMXtqZ44P6G6bntTnaNRlJBF7pl4tPS0sR/RXqXdqmdz9B3NKE7MIftkDBZd3O98kEKIBtHCoi9P+Wxlf9wiruQcJ6s4FmuDFgxrPpeWFgM4mvg9Rjq3Pyftbje8+TzcTLtyPNmfKznHqFCWY2PoSUe7CXSxf1Lt8sA309v5eeyN2hCQuJL4vNOUVRRjaeBGN4fp9HKagY5CvxFeibiTJNEQ4j6UcTiS4MmrqSgqw9jTFhMfJ0pScjn35ibyL6bccr/p+yK4svIQxi1sserXkqL4LLJPXOHs6xspzSnCfUbfBnwVjSc3rHK1E5NW9rXuWm7WwZXUxHBywxIk0RDiLudk0o4nWvurHD+dugEAR5N2Km2vdgpU29c07w03vNdozyVq976o7XhT0t52NO1tR9f5/AGurzPA9fUbntPScgAtLQfcbmiiiZJEQ4j7THlBCaEz11NRVEbz1x6k+RsPVy/tmHUimlOP/3DLfUcv30/bxeNwfrxL9bHEDacIe/E3Li/+F9cnu6NtpHdb8RfGZnC4a/03YnR8zA+frx6r2z1iMgEwcLGs9RwDZ4ur52bUOxYhRNORV5pGWUVR9ZKrVWJzT/LPlU8B6Ghbt58dQoiaJNEQ4j6TvC2UkuRcjFrY0Pz1h2qsH2/RxR3XqT2IXnHglvq2G+ZTI8kAcBzXictL95F/MYWc03FY9mh+W/FrG+nj+FjdVja5nkVX9zqfW55ffPVetSdFOsaVbWV5xfWORQjRdCTnn+Wnc49jZ9gaSwNXtLV0ySyOITE/DIAONmNpaz1Mw1EKcXeSREOI+0zmsSgA7Ed2UDuJ2WG07y0nGrYPt1F73NjTlvyLKRQn59xSv9fTszau88iEEELcjI2hJ13snyQ6013VkAABAABJREFU5xgxOScorshDX9sED7NedLR7jPY2YzUdohB3LUk0hLjPFCdWPuwbuliobb9RudDNVJUT/Ze2qQEAFcVlt9z3naRtXDkBsbygpNZzyvIr23RMZLKiEHczc30nhjefp+kwhLgnSaIhxP1KS/1Sp1q3swTqHVg+tSQ9n4iPt9f7Oouu7rhMVF35Sh0D18pkqygus9ZzihOyrp4rq9EIIYQQ6kiiIcR9Rt+hct+K2h6iC2Nrf7huCsoLikn8/eQtXVvXRMPMxwmAvIhkygtL1a48lX06rsa5QgghhKhJEg0h7jOW3T1IWB9E8p9nKieD/2eeRtLmEM0EVkeGrlYq+3s0NANnC0zbOZMbGk/yX2dw+s/k84yAKIoTstGzM8W8s1ujxiKEuD/ti13E/rjF9Hd57aZLxN6LzqRu4mLWPpLyz5JXmkJReQ56CmPsjFrhYz2KzvaT0FbUvpHimdTNnEj+ieSCcyiv7vnhazf+lvf8ELdG3mkh7jP2I9qjZ2tCfmQql5fsRalUVrdln4oh1v+oBqNrOjxe6g/Axc/+puByWvXxkrQ8zs/eXHnOzP4qiVrMjwEc6f0FYS/+dsdiFUKIe82J5J8ITdsCVO4i3tZqGPZGbYjPC2FH9Hv8GD6GkvICtddui3qHjZEzScg7QzPTrjQ370t6URQ7Lr/L7xHPUKGsuIOv5P4mIxpC3Ge0jfTwWTaekClruPT5bpK2nMbUx4nilFyyjl3G9amexHx3GC1dbU2HqlH2w9vjMuUScWuOcfSBL7Hq0xKFjoKMw5GU5RZjO9gb1+k9Va4rzcin4FIq+namKm3FyTmcnv5T9d8Loiv34Ij9IYCUbaHVxzv8+CT69mYau04IITRtULMPsTZsjqGOeY3j2cUJ/HTuceLyTnE44WsecH2jRvvZ9O2cSF6Dia4d0703Ym1YuaR6Xkkq/mcf5VzG3wQm/UgPx//dsddyP5NEQ4j7kHW/VnT583kuLdpNVmA0hX+HY+xpS+t5j2DzgBcx3x1G18pI02FqXJv5o7Ho6k6s/1Eyj0ahLK/A2NMO58c74zKlu9rlgW+koqSM7FOxKseL4rMois+qcZ4mrxNCCE1zMe2o9ri5vhN9nV9kU+TLRGUdVEk0DsUvB+DhZu9UJxkAJnq2DPeYx+qz4zgcv4JuDtOlhOoOkERDiPuUWXtnOq6ZqnI84Y9TV9tdVNr6nJiltq/Om5694b18vnpM7d4XtR1vShzHdMRxjPpfeOq0eONhWrzxsNq2W51fcqevE6IpSiuM5GD8MqKzj5JXmoK2lh5GupY4GPnQwXZMjU31isvzCE3bwsXMvaQUXCC3NAktFFgZeNDWehg9HZ9BV9tQ5R4fHnUG4KMe8QSn/MbxJH9SCy+ir21CS4sHebjZOxjrWlNaUcSh+OWEpW0huzgBY11r2tuOZYDL6yrzBjZHvkJI6h880mIxDsbe7I9dTEzucUrKC7E1akk3h2l0tBtf7/cjteAiRxK+5XLOEfJKUtBRGOBk0o5uDk/R2mqgyvk5JUkciltGZNZ+ckoS0dLSwkjHClvDVrSxHkJn+0n1jkFTFFqVj6/aipqbqmYXJ5CQfwZtLT28rYarXOdu3gMzPQdySpKIyzuJm2kXlXNEw5JEQ4j7UElaHuWFpRi61twzI+vkFS5+Url07H8nQAshhKYk55/jh/BHKC7Pw8bQk1YmD6NF5cPzpez9lFUU1Ug0kvLP8lfU2xjr2mBj0AInk/YUlGUSnxfM3tiFXMjczTTvDegqDNTe758rn3EscRXuZt3xtBhAbG4QwanrScg/zVM+W/n53BOkFUTSzKw7VgYeROcc5VD8MgpKMxjZYqHaPuPygtkW9Q5meg40N+9LfmkaV3KOseXSayTmhzHU45M6vx+haVvZHPkK5coS7Ay9aGX5IPmlGVzJOU5U9mH6Ob/CA25vVp+fW5LMyjNDyCtNwULfBU+L/mgr9MgtSSIu7xRZxbF3TaKRX5rBkYRvAPCyrJlQJV3dzd3OqJXaRBLAydiXnJKdJOaHS6JxB0iiIcR9KPdsIqfGr8KktQMGbpYodLUpvJJBblgCAI7jOmE/vJ2GoxRCiEpHE7+nuDyPB91m0df5xRptxeX5pBScq3HMQt+FKW1/w92sZ43ymMKybDZcfIHIrH0cS/yBPs4vqL3f6dQ/eK79P9gatbx6XRarQkeSXHCOVaEjMdAx45VORzHQqZzblJgfxnehwziVso6+Li9hoa86IhyU/DPdHJ5isPuHKLQq58DF5Z7ip3OPE5j0I54W/Wll+eBN34uk/LNsjnwFbS1dHvf6gZaWD1S3pRRc4JdzkzgQvwQP8554mPcC4GTyOvJKU+hsP4nhHvPRum4fpbKKYuLygm963+tVjfzUh7tZD6Z5b6j3dRcy/uFsxg4qlOXklaYQkxNEmbIIX9vH6OYwrca5mcWVpaLmeqrvfxVz/crYs4pi6h2LqD9JNIS4Dxl72uIypTuZR6PIOh5NeV4xOqYGWPVugeNjnXEcV/dSISGEaGx5pakAtLQYoNKmr22Mq2nnGsfM9Z0w11fd48ZQx5yh7h+zNKQPZ9O315poDHB9ozrJqLzOgs4Ok9kZPYfUwghe6LC3OskAcDT2oaXFA1zI/IfonKP42j6q0qeZngMDm71bnWQAuJh2orvj0xyI+5Kjid/XKdE4GL+UcmUJg93n1EgyAOyMvBjk/iG/RzxLYJJ/daJR9f55WgyokWQA6Cj0cTfrftP7Xk/d67sZG0PPel8DkFRwlpDUP2oc6+74P7VlaiXl+QDoadc+x7Cqrbg875biEfUjiYYQ9yEDJwvazB+t6TCEEKJOnE06cjFrL9uiZvGA61s0M+uGjkL/htcolUpick9wJecYOSWJlFYUAUqUVC7pnV4UVeu1nmoSGisDd6BytOT6JKSKtYEHUFmmpE5bq2FqY+5gM5YDcV8Sk3OCcmUZ2lq1P5pVKCuIzNqPFlp4W6vOQYDKkQOAuNxrG5u6mPhyInkNu698BkAL8743fBi/mdGeS2752vrq5/IK/VxeoayihOziOMLS/+Lw/9m7y8CmrjaA4/8kbVJ395ZSpC1Q3IYzNiZsYxtzd2Wu79x9Y8I2dA4MGAM23F0qtKVUKHV3tzTvh0K3LCm0UEgpz+/TuOeec54bunKfHMv+iiMla7i594+4WYWcs1hEx0miIYQQQogubZTXg2RU7iW1fAc/JNyImUKDh3Vf/O1G0N/lGtyt++jdX9VQyG9J95BZeaDNNuu1lW2W2ak9Da6pldZtlgGoVS3lTc31RssdLIwf7mmv8UaBkiZdHbWNpdioXduMq7aptDXuDw70a/M+gOqm4tb/7ud6LSnl24gtWs5viXejRIWbVS/87YYT5nLlebFWwUypxtkyiLE+j+NqGcyipPtYnvI494X/1TpKc+LvoK3zNf5dplHZnP2ghSQaQgghhOja1CpLbu+7iKzKSJLLtpBZuZ/MyoNkVUWxM+drxvs8zTjfJ1rvX5H6NJmVB/CzHcI4nyfxsA7FQmWHSmlOU3MDb+4NPGl/J9v2VGHCLVGbdVoAlKjo53pNu+spFUqu7fklF3k/QlLpBjIq95NZcYC9efPYmzePCNcbuCr443a3tzxlZkdDx8UymIu8H+lwPWP6OE1Fo7Ilp/oQZfWZOB5P4hw0vgCUN2S1WbeiIUfvXnF2SaIhhBBCiPOCj+1AfGwHAtDU3EBs0XL+TH2WLVkfE+ZyBS6WwTRoa0gu3YQSFTf1Xmhw4FtJXZoJIoeyesMzbQDK67PR0YyZwgJLc0ej95xgZe6EudKCxuY6pga+jeb4N/jt5W7VG3er3kDLNKzkso0sTX6EqMLfCHO5kmCHse1q579rJtojwG5EpyUaLVvzOlKvraS6sag10fC0DgWgoCaJRm2t0Z2nsquij98b1imxiJOTREMIcd47+tF6Uj/eQNBTk9o8w6I7y10aRfHmRCrjc6kvqKSpohaVtQabEHfcr+qPz63DULbzpPfkd9aQNmszAD1fmUrAg+178RDiXDNTqolwm0FkwW9kVO4jvyYBF8tg6rQV6GhGo7I3SDIADhUtM0G0LSdWT/Z7CbP/nP1wqGg5AH52g0+6PgNApTAjyP4iEkvXc7h41Wmdv3GCUqGkl+NkejlezKGiZeRVH253ovH6iOzT7rczlNSlU1afiQIljhb+rdftNd54WoeTWx1LfMkqg0XraeW7qWjIxcbcDR9b2cL9XJAjEYUQ4jyXtXAPucujAbAb4IPb5eHY9PGgPDqTxJdWcODq2WhrGk7ZTnl0Julfb4X/7EojhKnty1tAUW2KwfWSunQKa5KAf7Y0tTF3xVLlQJ22nEOFy/XuTy7dzO6c789+wEZUNOSyIeMdmnXNrdeyq6LZnfsdAMM97m5XO2N9nkClMOfvtFeJLVqBTqfTK9fpdGRVRpFStrX1WnThEnKqYg3aqmksIauy5ZBWB03Ht6w9WwpqkjhUuPz4An59+TVHWJL0ADp09HG6BGtzZ73yE6Mm69Pfobj2WOv1qsYiVh17EYDR3g/LqeDniIxoCCHEeS7k9cuxCnLB3F5/mkBdThmRM+ZQfjCDtK+20OMZw9OCT2iubyL+scWoXW2wG+BL4Zr4sx22EO12MP9nVh97CUeNP25WvVCrrKlqKCCjcj9aXQNhztPwsW3ZllupUHGRz6OsS3+TpSmPsC9vPg4aX0rq08muiuIi70fZnj3rnD/DYPdb2Z/3A4ml6/Gy7k9NUzFpFXto1jUxxP12ehk5zdsYb5v+XB38OSuOPsnvyQ+xIeMdXC1DsDRzoLqxmLyaeKobixjt9XDrCEVC8d8sL52JndoDD6tQLMzsqWkqJaNiLw3NNfjbDqOP06Vn8/E7pLqxiKUpj6BOtcLTOhxbtQdaXQNl9ZnkVcejQ4e3TQRXBL1vUDfU+XKGuN/G/vwf+DpmEkEOo1EpzEkt30G9tpLejpcYnL8hzh5JNIQQ4jxnH2F8UaOFlwMBj00g/rFFFG9LPmmicfTDdVQnFzBg4e3kr447W6EKcVom+D1LUukGsiqjyKw8QL22ChtzFwLshjPI/Sb6OF2md/8orwdw1PiyM2c2BbVJFNQm4mbZi+nBs+jneo1JEg0fmwgGud3M5qyPOFq2lcbmOtytejPE/XYGut3YobbCXabhbdOfPbnzSC3fRlrFbgBszN3wsAolxHGi3knpI73ux0HjQ2blQXKqD1HbVI6VmROe1uEMcLuefi5XG5xJYUpuVr2Y4PssGRX7KKpLIaf6EM06LVZmTgQ7jCfM+Qr6uU7XO5Pk3y4Pehc/26Hsy19AesUemnVaXCyDiXC7gSHut8loxjkkiYYQ3VB1SiHHvthE6a5U6gsqUapVmDtaYxvmhef0CL1Tv5uq6slbHk3RxiNUJeZTn1eBQqnAKsgFt8vC8b//IlSWhv8Arfd8DoDJue+Ts+gAGfN2UZ1cgJmNBpdJven54qWoXWzQ1jWSNmszeX/EUJddhtrZGs9rBxL09GSDdQNxjy8md/FBQj+7DttQL45+tL7lQMHaBqx7uuN71wi8b+j4NoxVSfmkz95GyY6jNBRUorQwx66fN753j8JtSl+D++vyKkj7YhNFm5Oozy0HhQK1kxXWIe64TQ3D59ZhHY7BVBRmLf+gKtVt/7ovj8wgffZ2PK4egOvFfSXREF1Oy1qCjq2/6ut8md7L9r+1tcbgZGsPAu1HnrR8vO9TjPd96qQxedmEc3PvhSe9p73tOVkEMDXwjXa15W83DH+78+f3lrW5M2N9Hj+jNvq5Xk0/VzkvytQk0RCim6lMyGX/ld+grarHOtgV18l9QAH1eRUUb0miua5RL9GojM8h4dllqF1ssOrhil1/bxpLayiPzOTo+2spXHeYwcvuR2Vh/Nuu5Lf+Iv37HTgOD8JlfC/KDqST8+sBKmKyGfLng0TeOJfq5AIchwdhGeBM6e5Ujn2xmYbiavp+NN1om+WRmSQ8vxyNhz1OY3vSWFRF6e5jHH7idyrjcuj91rR2fx55f0QT9/hidA1arHu54zKpNw3F1ZTuPUbJ9hQCn5hI8LP/fNNfn1/B3ilf0FBQiYWPI87jQlBqzKjPraA8MoPazNLzJtFoKK5uWXMBuF5smFABaOsaiXtsMWYOlvR688pzGZ4QQohuThINIbqZjO92oK2qJ/iFSwh8TP9026bqeqoS8vSuWfo6MmjJvTiODEKh/Gc4ubG8ltgHf6F4cxIZc3YS+Mg4o/3lLD7I8PWPYxPi3lKvrIZ9l39N1eFc9l/+NWZ2Foze+xzmdi3rByrjcth76Syyf9lP4OMTsPQ13M4x64c9+N49il6vX45C1RJTeWQGB2fMIXPuLpzH98J1Yu9TfhaVh3OJe3wxSnMV/ebdhsu/6lQl5hF10zyOfboRp1E9cBrVo6Xvn/fRUFCJ963D6PP+1a0HQUHLOobyyIxT9vtvJ0Z+OsJxRBCDl93f4XqF6w63jEZom6kvqKRsfxrNdU14zRiE710jjdZJeW8tNUcLCZ99E2rnjm2VKYQQQpyMJBpCdDMNhVUAuEzoZVBmZq3BYbC/3jULLwcsvBwM7jW3t6TXW9PYNepDClbFtplo9Hjm4tYkA8DcwQqf24aR9OoqqpLyGbH5idYkA8A2zAuXib0pXHuY0t2pWPoabjGo8bQj5H9TW5MMAPuBfvjfN5rUTzaS8d32diUaxz7fhK5BS883rtBLMgBsenkQ8vrlHLr3ZzLn7WpNNFo/v/G99JIMAKXGDMcRQafs9988r+/4ForWwW2fDHwylfG55C4+qHfN797RBD09yej2tmX708j4fgeul4TiMa3/afUphBBCtEUSDSG6GbsIH4o2HiHhuWX0ePZiHIcHodSc/H91nU5H2b40yvYcoy63nOa6RnQ64Pi2iTWphW3WdR4fYnDNKtAFAEsfR70k5J/ylu0I6/MrjLbpflm40Zg9rx1I6icbKduXRnOTFqVZ22dD6JqbKd6cCAoF7peFG73HcXhL0lB2ML31mn2EL1kLdpP89l8tzze2JyortdH67RH2+fWnXbejgp6YSNATE2luaKI2q4z8Pw+R9uVmCv6OJ+KnO7Hp9c/fhba2kfiZSzCztaDPe1edsxiFuNBcHfwZVwd/ZuowhDAJSTSE6GYCHhxL2d40SranEHnDXJQaM2xDPXEcEYTH9Ahs+3jq3V9fWEnM3T9Svj+9jRahqbK+zTILL8MDsVTWLS/mGk/DspZyDdAyFckYSz8n4315O4BSQXNdE42lNWhcbduMq7GkpjXureFvtnkfQGNxdet/e14bQfGWJPKWRxNz1w8oVEqse7vjODwQj2n9cRgScNK2ugKl2gzrIBeCZk7AOtiVQ/f+RNxjixi25tHWUZqUd9dQk1pE30+vReNuZ+KIhRBCdEeSaAjRzais1AxafC/lkRkUbU6kbF865QfTKY/MJO2rrQQ9M5keT05qvf/wU0sp35+Ow5AAgp6ehG1fT8zsLVGaq2huaGKj/0sn7e/f6zoMy0x38JuuuWU0RqFS4jE9ot31FEol4V/fSOBj4ylcn0DZ/nTK9qeROXcXmXN34XXjYEI/ue7UDR0X9/jiDsduHexK4KPjT31jO7hdFoaZrYbKQ9nUZZa2JnEFf8eDUkHu4khyF0fq1alOKQBaDgIsWn8Ey0BnQj++tlPiEUIIceGQREOIbsp+oB/2A/0AaG5oIm95NIefXkrqRxvwuLI/1sGuaGsaKNp4BIVKyYAf7zA48K3mWLEpQqc2s9To9brsMmjWobQww9zR6qRtmDtZobQwp7mukd7vTMPs+ChKe9n09sCmtwfQMg2raGMisQ/9Ss6vB/C4sj/O4wynjBnz3zUT7eE4IqjTEg2FQoG5ozVNlfU0FFXpjxY16yjdndpm3dr0EmrTS2isqO2UWITobFEFi/jj6JMMcL3ugp6edOJz+Lf7wv/C28Zw7VVRbQpbsz7nWPlOappKsTF3pafjBMb5PIGt2nCq65mqaMhja9ZnJJduoqqxECszRwLtRzHWZyYulj06rZ/y+hz25s0jp+oQJXVp1DSVoNM1Y6t2x99uOCM978Pduk+nxZlbHcfsQ1P0rl3V4xMi3GZ02jN1B5JoCHEBUKrN8JoxmOxf9lO2L42qhFysg11prKiDZh0qewuDJAMgb1mUCaKF/NWx9Hz5UoOzH3KPx+MwJOCk6zMAlGYqnMYEU7QugYJVsXjNGHza8SiUSlwn98FtSl9yl0ZReTi33YnG5FzDk2vPpZr04pbETanQSzIu2v98m3VOnGfS85WpBDw49lyEKYToBE6aAPzsWs4asjIznIKaVr6bn47cQmNzHZ7W4fjbDSOv5jAH8n8kofgv7gpb3qkv/4U1ycyLv5qaplJcLIPpY3sJxXWpHCpaRkLJ39zW59fWeM9UUW0KO3O+wcrMERfLnvjYRtDUXE9+zRGiCxdzqGgZ04O/IMzFcHv004nT0syRAa4to9sZFfspqU/rlOfobiTREKKbyVywG6fRwQY7F9WkF1OVlA+AhU/LlrIaVxvMHCxpKqsld1kUntf8M8WoaFMi6d9tP3eB/0t9TjnJb/9NyKuXtU7NKo/OJOPblnj87hnVrnaCnphE8eYkEv/3J0qNGe7T+uvtJKXT6aiIzqKpvLY1cchZfBCb3h7Y9fPWa6uhpJqygy1b21r4OJzpI3aaqsR8KuNzcJsaZnDWSdWRvJapWzodblPDULvYmChKIcS54Gc3pM2RnQZtDUuSH6KxuY6pAW8xzPPO1rK1aW+wK/dbfk9+mPvD/zbYce90NOuaWZL8IDVNpYz0fIApAf9rLduTO4+/0/7H4qQHeCxiB2qV4RddHeVu1YcH+63D3aqv/rbkumb25H7P2vQ3WHH0GXo6TkSjstErP504HTTerZ/18pSZlBSmnfEzdEeSaAjRzWT9tJcjL/yBpb8TNr09UFmpaSispHRfGroGLe5X9cc+whdoWb8Q+PgEkl9fTdzDv5E5fxeWvk7UpBVTEZVJ4GPjOfbF5nP+DD63DSdr4R4K1ydg19+HxuJqSnenomtqxueOEW0ePvdf9gN8CPvieuKf+J3YB38l+e01WIe4Ye5gRWNxFZXxuTQUVRHwyLjWRKPgrzjiH1+MxtMO21AvzOwsaSytpmxvGtqaBhyGBeJ2adjZfPwOaSiuIu7h31BZqbEN90bjaYeuvonazFIq43NBp8Muwpc+H1xj6lCFECYUVbCIqsYCAu1G6iUZAJP9X+JIyVpyq2NJLttEiOPEM+4vuWwj+TUJOFkEMNn/Rb2y4Z53kVDyF2kVu4kuXMRQjzvOuD8btSs2asOtwZUKJSO97mdf3kJK69PJrDxIsMM/I7XnOs4LjSQaQnQzwc9NoXB9AhVRmZTtT6epqg6Niw2Ow4PwuWUobpfpvyQHPDAGSx9H0mdvozoxn6oj+dj0difsyxvwnB5hkkTDfqAv3jcP5ehH61tPM7fp7YHPHSPwvqljw+weVw3AboAvGXN2UrItuXVNgsbNFttQT1wm9cHtXyel+z8wBktfR8oOpFMRk0VjeS1qJ2tsw73xmjEIz2sijJ5JYSo2Ie70eG4KZXuPUZ1SSMWhLHTaZtRO1rhM6IX7lf3wnB6hdyaJEGdLYW0KX0aPxdrMmacGHUSlNDe4R6tr4pODQ6hqLOCh/htxt2o54yarMpL44tWkVeyivCGHuqZyrMyc8LUdxEivB/C1bf+ZNKdau3GsfBcLDl9HgN0I7gz93aC8vD6bnTnfklK2mfL6HFRKM9ysejPI7SYGuF7fKd/4n2tHStcAEO5i+KWDUqEizOVKtmV/wZGStZ2SaBwpWQtAmPM0lArD35n9XK4hrWI3R0rWnpMX+BMxmCn0tyvvanF2N5JoCNHNuE7ug+vkthe8GeN+eTjulxs/a6KtNQYnW3vgNLLHSct7PD2ZHk9PPmlMdv28ifjhjpPe0972rAKc6f3Wle1qy3F4II7DA9t1b1egdrEhaOaETm0z7PPrz+n5H6L7cLUMxscmgqyqKJLLNtHbaYrBPUfLtlDVWICXdb/WJANgY+b7pJXvxtUqBG+bAZgp1BTVpnK45C+OlKzl2pCvCHW+4qw/w7HynfyWeA912gqcLAIIdhhHQ3M1WZWR/HH0SY6V7+Sanl+c9Tg6W251HIDRBeIt1wfo3dd5/Q1oo7/+ndrfyRzM/5XiulRszd3x+s/zd6U4uyNJNIQQQgjRaQa4zSCrKorowiVGE43owiUt97nqJ7MjPR9gevCXBtNfEkvWsSjpPlamPk9Ph0mdMp+/LZUN+SxKvI8GbTVX9/iU/q7XtY5elNdn88uRO4kpWkqg/ah27y5kbEeo9ujMHYzqmiqpbSoDwEHjY/Qee03LurSy+oxO6bOsLvN4f95Gy0/0V9NUQr22Go3KulP6Bfgj5Sl0aKnXVlNQc4TiulRszF25PuRb1Cr9HQtNGeeFQBINIYQQQnSacOdprDn2GkmlG6lpLMHK/J/dj2qbykgsWY9KoSbc5Sq9ej0djW/p3MvpYvo6X05s0XLSKnYS4jjJ6H2dYXfuHGq1ZYzyeogBbvqJkL3Gmyt7fMh3sVPZmze/3UmAk0Vg6+5EHeFk0Xkjqw3N/xxKaq4yvjW4WtlyvV5bbbT8dPs0V7bV3z8v7A3aqk59gY8pXEIz2tY/O2r8mNbjY6M7XJkyzguBJBpCCCGE6DQWZnb0dppCXPEKDhUtZ7jn3a1lsUUraNLV09dpKlbmjgZ1qxtLSCpdT0FNInXaCpp1TQAU1BwBoKg2lRDDap0muXQTAKHOlxst97Luh1ppTV51PI3NdZgrLU7Zpr/dUPzthnZqnOLkXh3RMipT3VhMfs1htmR+xoLD1xnsKiXOPkk0hBBdhqwNEKJ7iHCbQVzxCqILl+glGjEnpk25Gf5/vj//R9amvU5jc9sHRNZrqzo/2H8prU8H4LvYqae8t7axFHON51mNp7P8+1v5Rm0NKjM7g3sammsAOu0be7XSmlptGY3H2zXs75+RE7Xq7Gy9bW3uTJD9RfjZDmNu3DR25c7G324YvZ0u7lJxdmeSaAghhBCiUwXZX4Sd2pPc6ljyqxNwt+5DUW0KWVVR2Ji7EeygP00quyqa1akvoFSYcbH//+jlOAk7tRfmSksUCgUbMt5le/aXgK5T4tPRbPy6ruV6mPOVmCk1J21DdYryE9Ir9hFZ8EvHAgQGut3UaSMhFma2WKocqNWWUVafhYeZ4Rbh5fU5ADhofDulTwcLH2qryyirz8bDOrTN/qzMHM/6dCQzpZowl2nkVB/icMlqvUSjK8XZHUmiIYQQQohOpVQo6e86ne3ZXxJVuJhLrF8lqqBlNKOfy9WoFPqvH4eL/0KHjmEedzHK6wGD9krq0jrUv+r4FqYNbaw3KK/PNnrdTuNJSV0aY31m4mbVq0N9tqWk7ljrAviOCLAb0alTrjxtwkgt30F2VQwe1oaJRnZVFAAe1p1zTpCndTi51XFkV0Xrvdj/0190p/Z3KtbmzkDLdKp/62pxdjeSaAhxgchZdID4mUvwvH7QBT096cTn8G9D/34U+wGGO7FUpxSS+ulGSnam0Fhag8bVFpeJvQl6ciIad8OpB6erKjGf7J/2UnEom9qsUhpLqgEFFt4OOI8Jxv/BMVj6OhnUq04ppGjjEYq3JFF5OJfGkmpUluZYh7jjfmU/fG8fgVLTeb/mT7e/9O+2k/TqKr1ro/c9Z/SZRPcxwPV6tmd/SWzRcib5vcChoqUt141MmzqxI5KdxsugrLqxmKNl2zvUt53aA4Ci2qNGy5NKNxq93tNhAnvz5hFfvKrTEo0ItxmdtnvUmejlOIXU8h3EFi1jkPuNemXNOi1xRX8C0Mfpkk7pr7fjxUQW/Epc8QrG+z5lcEbFoaJlndrfqRwr3wmA838W2Xe1OLsbOcFJCHFBsgxwxvP6QXhePwi1s+FuIyW7Utkz+XPylkWhcbPD7dJQVJbmZP2wh90TP6P6aGGnxVJ2IJ2MOTupSS/Gyt8Z1yl9cRrVg6bKOjLn72b3uE9bDxr8t4PXf0fSa6so3ZOKVYAzbpeHY9vPh8r4HJJeXcW+y7+isdT4vOPTcbr92YS4t37WKiu1kZZFd+Ri2QNf28FUNRayLv0tKhpyDc7O+Pe9ADGFv+vtelSvreKPo09Spy3vUN9eNgPQqGwoqE0ktugPvbJ9eQs4XLLaaL1RXg+gUdmyPXsWe/MWoD2+GP3fCmoSOVz8V4fi6Qoi3GZgY+7GsYpd7M1boFe2Pv0dSurT8LQOo6eD4bk8n0YO49Xd3kQVLGp3fz0dJ+Fu1YeSujQ2ZLyrV7Y3dz5pFbuxNfdggKthEjY//lpe3e3N5syP293fgfyfKKpNMbje1FzPzpzZxBQuRYnKIOk7kzjFqcmIhhDiguQwNKDNkR1tTQOxD/5Cc10jvd6eht9dI1vLkl5fRfrs7cQ++CvD1j7aKScEO48JZuT2p7EO1j8/oLlRS/Jbf5Hx3Q7iHl/M6L3P6fVn3cOVHs9cjPuV/TCz/me+eG1mCVG3LqAyLofEV1cS9kXn/AN5uv05jwvBeVwIANt3paKtaeiUeETXN8D1ejIrD7A3b27rn42JcJvBntw55FbH8nnkCPzshqLT6Uiv3INKoSbC9QaiCn9rd79qlSVjfZ5gXfqbLE1+hH15C7AxdyW/5ghl9ZmM8nqInTlfG9Sz13hzY6+5LEq6j7+OvcT2rC9wtQrB2tyFuqZyCmqOUN6QQ5jzlfR1PvWC8a5Eo7Lmup5f89ORW/jr2EtEFyzCySKQ/JrDFNYmY2XmxLU9vzL6O+3E2hWVwvCk97YoFUqu7fk18+OvYWfONySVbsDdqi8ldcfIqT6EudKC60K+MXouyon+lIr2v6bGFv3BytTncLIIwNUyBLXKmqqGAgpqjlDdVIxKoeaywHfw/M8UqDOJU5yajGgIIcR/ZP92gIaCShxH9dBLMgB6vjwVywBnKmOzKdqU2Cn9Wfo6GSQZAEpzFT1fnorSwoy6zFJqUov0ygctuQ/vG4fovfSfaK/P+1cDkL/yEM0Nht/Kno5z3Z84/4U5X9m6BayxszNOsDRz4L5+fzPI7WbUKmuSSjeSUx1DH6epPNBvDfZGplSdyiivB5jW42PcrfqQU3WI1PKdOFkEcFfocno6GD+zAyDQfhQP99/MRd6PYm3uTFZlJAnFf1FYm4SjhT+T/F5got9zHY6nKwiwH8ED/dYS7nI1FQ25JJT8TYO2msHut/BQ/w24WAYb1KluLKaiIRdrM2d6GVnDcDJuViE82H8Dg91voUFbTULJ31Q05NHP5Roe6LfO6BqUZp2W/JoEzBQa+rtOb3dfo7weZJDbzZgrLcmqPEh88UpyqmOwVbsz3PMeHuq/wWDK2JnEKdpHRjSEMJHq5AJ2jfkYc2drxkS9hNJcZXBPc5OW7YPepaGgkhGbn8Cmd8u84/LIDPJXxVKy8yj1OeU0ltdi7mSFw2B//B8cg8Mg/3bHcaq1GyW7jnJw+nc4jghi8LL7DcrrsstI+2YbxVsSqcsuQ2GmwqaPBz43D8Xz+kGd8o3/uVa4Jh4Az2sGGJQpVEo8pvXn2OebKPw7HteJhtNAOpNCqYDjn6FS3f5f2XbhLafZNtc1tawv6cQ1JV2hP3F+sDCz5eVhxtdJ/JeNuQtX9vjAaNl436cY7/uUwfVTrX8Y6HYDA91uMFr2+gjjC8IBbNVuTPJ7nkl+z58i6vOPi2Uw1/b8st33p5ZvR4eOMT6PozmN7V3t1B5cEfR+u+/ProqiTlvBCM972zzF3JgQx4mEOE7scHwndDRO0T6SaAhhItY93bAf6Et5ZCZFG4/gdonhtnrFW5JoKKjEtp93a5IBkPLeWkp3pWLdyx27CF+UahU1R4soWB1H4ZrDhH9zI+5X9Dvrz1Cy8ygxd/1AU0UdloHOOI/rhbamnvKDGcTPXELJjqOEzTr/5rVWxrVsZ2g3wPg2j3bHF46fuO9s0TU3k/rpRpprG7EJ9cTCx6HddU+MfijUKswdjJ9425nOdX9CCEMZFftZnjITgHE+T+FoceZb1R4t24ajxo/B7reecVvt6287GpUtY7wfOyf9na6y+mw2Z34ItHzuwjhJNIQwIa8ZgymPzCR38UGjiUbu4oOt9/2b/wNjCPvqBjSutnrXC9cdJuaen0h4bjkuE3uf1YW39fkVxNzzI9rqBkI/vx7P6wa2jl7UZZcRfcdCcn+PxGl0D4P422JsR6j2CP3sunb3cSpNlXWtC5rberG38G65XptR0il9ntBYVkPi8d2ZmsprqYzLoS67DKsgF8K/vrFDo0PHvtwMgOukPp2681RX6U8IYaikPo2SwjQAhnrciSNnnmhcFfzJGbfREeN8n2Cc7xPntM/TUdtUelrbFl9o5F8DIUzI/ar+JL66ksKNR2goqUbt9K/TW8tqKFyXgEKtwvPqAXr1XCYY33bR9eK+uF8eTt7yaEp2HcV1Up+zFnvG9ztoKqsl4OGxeF0/SK/MwtuBPh9OZ9+ls8iYu6vdScCJnaA6yjLAucN12tJU/c9C5bYSNdXxNQpN1fWd1i+0LEI/kVyeYBvmRehn12ET4t7udnIWHSB/xSGUluYEv3D2t2Q81/0JIfR1lS10LySe1mEnnX4nWkiiIYQJmdtZ4npJKPl/xJC3LBq/e0a1luWtiKG5vgm3y8IwdzScitJQXE3RhgSqjuTRWFGHrqlll46qxHwAao4WwaSzF3vRxpaF0G6XG5+iZdffG5W1msr4HLR1jagsTr1bieOwQByHBZ7yvu7KwsuBybktc4Tr8ysoj8rk6Ifr2TtlFiGvXa7389GW4u0pHH52GSgU9P3gGqOLzDvTue5PCCHE+UMSDSFMzHvGYPL/iCFn8UG9F8m2pk0BZP2wh8TXVtFc29hmu01VdZ0f7L/UpLecrrrv0lmnvLextAaVp/1ZjaezmFn/M4qhrWlAaWe4paH2+EjGf3df6kwadzvcLgnFcXggeyZ+RuKrK3EYFtC66NqY0r3HiLljIboGLb3euhLPaweetfhM0Z8QQojziyQaQpiY05hgNF72VMZmU5mQi20fT6pTCimPzETtZovz+BC9+8ujM0l4/g8UZkp6vjIV18l9sfCyR2lpjkKhIPmdNaTN2gy6TgqwuY2Gjl93n9YPpebkoxXt3S2pdO8xsn/p+KI675uGdNpIiJmtBWYOljSV1VKXVYZ5X8NEoy6n5fAwC1/HTunzZMwdrHC9JJTMebsoXBPfZqJRtj+NqFvmo61poOf/puJ396lHP87Eue5PCCHE+UcSDSFMTKFU4jl9IGmzNpOz6CC9XrucnEUHgJbtVZVm+tveFqyOA50Ov7tHEvDgWIP2atOKDK6dtP/j2+pq21hvUJtVavS6xsue2mPFBD0xEZteHkbv6ajatGKDNQrt4TQyqFOnXNmFe1OyPYWK6Exs+3oalFdEZbbcF9bxvf1Ph7lzy9qdhqJqo+VlB9OJvGke2qp6ejw3hYCHDH8uOtO57k9cuObHX0taxW7u6LuEQPuRp64gOmRz5sdsyfqEcT5PGt0++Hzo81j5LhYcvo4AuxHcGfp7J0QoOpMkGkJ0AV4zBpE2azN5y6Lo+eIl5C6LOn7dcNpU645IXg4GZQ1FVRRvS+lQ3xqPlilN1SmFRstPrMX4L5cJvcicu4v8lbGdlmh4zRjcabtHnQnXKX0p2Z5C7rJovG/SP6hJp20mb0VMy31Tw4xV73SlO1rOIbAKNFz0Xh6VSdSNc9FW1RP09CSCZk44q7Gc6/6EEEKcv+RkcCG6AOsertgP8aehsIqkN/6iPqfc4OyM1nuPL7bNWRKpt+tRU1U98U/+TlN5bYf6th/gg8pGQ3ViPrnLo/XKMhfspmBVrNF6AQ+OxcxWw7EvNpM5fxfNTVqDe6oS88hfHdeheLoCrxsGo3azpXTnUTLn79IrS377b2rTirEN8zK6+9f2Ie+x3vO51lGp9kj/bjt12WUG15sq60h68y9Kd6eistHgftUAvfLy6Cwib5hDU2U9gU9MpMdTk9vd53rP51jv+Rwlu9p3mNqZ9ieE6HqGetzJIwO2MtTjzvO2T2+bCB4ZsJWrgz/vlPZE55IRDSG6CK/rB1G+P53MuTtb/tzGN/teNwwm4/sdVMZms2PY+zgODUCng7K9x1CYq/C6cTA5v7b/JVdlpSboyYkkv/EXcQ//Rtb83ajdbKg6kkdtRikBD48l7autBvUsvB3oP/92Dt37E0deXEHq55uw6eWO2tmGpoo6qhJyqcspx31aP9wvOzff/HcWM2sN4d/cRNTN8zjy4gqyfzuAVZALVfG5VCcXYO5kTfg3Nxk/16K5ZfcvhZnhSe9tyfh+J0mvrcY6xA3rHq4oNWbU5ZZTFZ9DU2U9KhsN4bNvwsJD/7TtyBvn0FRRh5m9JXXZZcQ9vtho+yGvXIba+Z+tk3XHYwQMpuadzOn2J4TomqzNnbA2dzqv+1SrLHG1DO609kTnkkRDiC7CY1p/Ev+3kua6RqNnZ5xg7mDFsLWPkfL+Wkq2pVC48QhqFxvcLg2lx7MXk/Xj3g73HfDgWMwdrMiYu5OKQ1koLcyxH+RH2Kwb0NY2GE00AJxG9WDElifJnLuTwo1HKD+Yga6pGbWrLZb+zvjcMeKcnFB+NjiNDGL4+sdJ/WQDJTtSqDqSh8bFBu9bh9HjqUlo3O0M6jQUVVGXW4G5szWuU/q2u6/gF6ZQvCWJipgsSnen0lRRh8pGg1UPV5zHhuBzxwiDJAOgqaxl9KqpvPaka1t6PD0J/vXiX3Go5URz617u2A/ya3ecp9ufEP/WoK1hf/4PHC5eTVFtCk3NDdiq3fC0DifCbQYhjhNP2UZ1YzGHipaTUrqZorqjVDUUoFKqcbUMpp/rtQxxvxWlwjCJzqqMYmfON2RWHqS6qQhzpSXWZs542wxgoPuNBNmPbr23sbmOPblziC9eSXFtKlpdE5ZmDjhofAiyH80Yn8cxV1p06mdzur6PvZysqihu7DWP3k5TjN6zNu0NduV+y0jP+5kS8ArQ9nqJqIJF/HH0SQa4XscU/1fYkvUpiaXrqWzIo6fDBG7sPQ+Aem0127K+IL74Tyoa8rA2d6a34xTG+z7N2vTXiS5cwlU9PtE746M9fU4NfIstmZ9yuGQ1lQ35WJk50ctpMhN9n8PKXH8TjlOt0ahpLGFP7lwSS9dTWp9Os06LrdodP9shDHK/GT/bIa33ZlVGEl+8mrSKXZQ35FDXVI6VmRO+toMY6fUAvrYdP+fpQieJhhBdhJmtBROPvdWue9UuNvT9cLrRsh5PT6bH04ZTWk61/sH7xiF43zjEaNmJsx2M0bjZEvzCJd3yoDbrYFfCv76x3fcXb08BnY6gmRMxs2n/1ree10TgeU1Eh+M72d/LyZRsSwYg+IVLUKjaP4P2dPsT4oSy+ix+PHwTRXVHUSut8bMbioXKlvKGHFLKNlPTVNKuRCOlbAtr0l7FTu2Js0UgPjYDqWosIKsykqyql0gt28YNvebqjToeLdvGz0duQ6trxNM6DD+7wWibm6hoyOVwyWo0ZjatiUazrpmfE27jWMVOLFR2+NsNx0JlR1VjIcV1R9mW/QVDPe7EXN01Eo0BrteTVRVFVMFio4lGs07LoaLlLfe6Xd/udmsaS/gu9jLqtBX42w7Dy7pf64t+vbaK+fHXklsdi0ZlS0+H8SgUKuKKV5BSvgU3S+MHy55KXVMlc+OuoqIhF3/b4bhZ9SKjYj8H8n8kuyqae8NWolKe+lwmgNzqOH5OuI3KxnwszRwIsBuBmVJDWX02sUUrAPQSjY2Z75NWvhtXqxC8bQZgplBTVJvK4ZK/OFKylmtDviLU+YrTeq4LlSQaQogLUtm+tNapPz2enoSl75kP5ZdsS8bSzwmf24adcVtnU/G2ZByGBODWgVGXM+pvS1Lr+p/GEuM7Z4nur1nXzG+Jd1NUd5TejlO4KvgTLM0cWsvrtVVkV0W1qy0v637cG7YSH1v9s1sqG/L5KeFWjpSuJb74T8JcprWWbc+ehVbXyLU9vyLc5Sq9ejWNJZTVZ7X+OaNyH8cqduJpHc5doctQq/45NFWn05FZeQCNyrbdz35i96yOau/J02Eu01iT9jrJZRupbiwxmJqUUraFqsYCvKz74W7Vu939J5VtpIf9WGb0+g6NykavbFPGB+RWx+JpHc6tfX5p7bOuqZJfE+/kSOnadvfzb0dK19DTYQJ3h61Ao2oZGa1oyGNO7BXkVscSX7ySfq7XnLKdem01vxy5g8rGfAa738ol/q9irvpnu/LqxmKKavXXqI30fIDpwV9io9Y/eDSxZB2Lku5jZerz9HSYhFpluO25ME4SDSHEBak2rZjatJZDB33vHNkpiUbop9edcRvnwuDf7zun/VUl5Z/WtsWie0ksXUdudRwOGl+u7fmV3ksfgEZlQ5D9Re1qy9Wqp9Hrtmp3LvZ/mR8SbiS+eLVeolHV2LL1d7DDeIN6VuZOWP3r5by6sWUXPn/boXpJBoBCocDPzvjob1uCHcbhoPHpUJ2OsDSzp7fTFOKKVxBbtJzhnnfrlUcXtnypMsC1/aMZACqFOVcEvW+QZDRoa4ks+BWASwPe0EtsLMxsuSzwHb6OmYDuNA50Uiutmdbj49YkA8BO7cFQjztZn/E2qeU72pVoRBb8QkVDLr42g7g88F2DNXXW5s5Ym+vv5NfT0fBnA6CX08X0db6c2KLlpFXsJMRxUoef60IliYYQ4oLSVbbQvZD433cR/ve17wVSdF8pZZsB6OdytUGScTq0uiaOle8ks/IgVY0FNDXXAzrqtS2jZsV1qXr3e9sMoLA2iaXJjzDG+zF8bAcaXccB4GkdjhIVkQW/4WwZRF+nywy+5e6Ii7wfOe267RXhdj1xxSuILlysl2jUNpWRWLIelUJtMJJzKp7WYTha+Bpcz60+RENzDfZqL/zthhqUu1mF4G7Vl7ya+A4/h5dNP2zVbgbXXY4v+K5syG9XOymlWwCIcLvB+MYdbahuLCGpdD0FNYnUaSto1jUBUFBzBICi2lRCzv5Zrd2GJBpCCCGEOOvK6lumAbl0wg5BRbVH+S3xbgprk9u8p15bpffnSX4vkF9zmOSyTSSXbcJcaYmXdX8C7UfR33U6Thb+rfc6WQQwJeA11qW/yepjL7H62Es4avzxtR1Eb6cp9HG6tM0kxVSC7Mdgp/YktzqO/OoE3K37ABBX9CdNunr6Ok01WEh9KvZtjMJUNOSdtBzAQeNzWomGvdr4QagnRlWadMYPl/2vsoaWqXAd+Xnbn/8ja9Nep7G57W3i//tzJU5OEg0hhBBCnHUK2v+t8qksTrqfwtpkejlezGivh3CxDMbCzA6lQkVR7VFmRY+B/0zbsVW7cV/436RV7OJo2XYyK/eTXRVFeuUetmV/zhVB7zPQ7YbW+4d73kWo8+UcKVlDRuV+Mir3cahoGYeKluFhFcqdoUuxMGvfOo3t2V9SVNuxw1QBrg7+rN33KhVK+rtOZ3v2l0QVLuYS61cBiC5cAnRsEfgJp9pV62R/pwrF6R3Vdrr1DNrp4M9bdlU0q1NfQKkw42L//9HLcRJ2ai/MlZYoFAo2ZLzL9uwv+e/PlTg5STSEEEIIcdbZa1q+qf7vAtyOKqxNIb8mAWtzF27oNcdgZKGkLq3NukqFkiD70a27SzVoa9ibN58NGe+wOvUl+jpdppc82KrdGOJxG0M8bgMgrzqeZSmPk1cTz46cL5nk90K7Yk4p23Jai8E7kmhAyxqM7dlfElu0nMn+L1Fal0ZWVSQ25m5G16acLlu1O4DeAvr/KqvP7LT+Toe92pvC2mSKao8and71X4eL/0KHjmEedzHK6wGD8pP9XIm2SaIhxHnkwDXfUro7lUFL78NpZA9ThyPOkpxFB4ifuQTP6wcR9nnHv4U8U0c/Wk/qxxsIemqS0a2ShTgdwfbjOJD/E4eKljHG57HTPoOitqkUAFtzd6PTl05s49oeapUVF3k/zL68+VQ05FJcdxRvmwFt3u9hHcowj7v5M/Vp8qoPt7sfY+c7nA0ulj3wtR1MZuUBUso2k1nZcnhrP5erUSk675XPy7o/5kpLyhuyyaw8gK+t/rq3wtqUDn0+Z0MPh7GklG8hqvA3BrZjnUZtUxkAdhrDqVvVjcUcLdt+NsLs9jpnfEoIIYQQ4iR6OU3BwyqUsvpMliY/Sl1ThV55vbaK1PJTv8w5WwShQElBbSJpFXv0yqIKFhFX9IfRejtzZlNeb7hdbHZVDFUNBShQYnd8fUBq+Q6SSjeiPb4Q+IRmnZbksk0AZ3UXqTNxYmepqIJFxBQubbl2GtOmTkatsiTi+DSzv469Qk1jSWtZvbaK1akvoqO5U/vsqEHuN2Fr7kFm5QH+OvYyjc11euXVjcWkV+xr/bOLZcuXdzGFv7duKAAtz/PH0Sep05afm8C7GRnREEKILsb10lBGDvTDzK5rHAYmRGdQKpTc0GsOPyTcSELJX6SWb8PPdigalS0VDTnkVcfjZdP/lFvcWps7M8TjdvblzWdB/HUE2A3HxtyN/JojFNQe4SLvR47Ppde3Letz1qW/iatlT1wse2KmUFPekENm5QF0NDPa65HW3Y7yaxJYk/YaFio7PK3DsFG706itJbsqisrGfGzM3Rjt/fBZ+ZzOVJjzlaxJe4WEkr8BOnx2RntN9H2OjIp95FTH8HnUKALsRqJUKEmr2IOFyo5ejheTWLoOlULd6X23h0Zlw4295/HzkdvYl7+AuOIV+NoOwUypobw+i9zqeMJdprVOq4pwm8Ge3DnkVsfyeeQI/OyGotPpSK/cg0qhJsL1BqIKfzPJs5zPJNEQQoguxtzOEnM7ORBKdD+OFn480G8te3PncbjkL9Ir9qJDi425GyGOk4hwm9Gudi4NeAN3qz4cyP+B7KpolApzvGzCudj/J1wsg40mGpcFvs3R8m3kVB0irXwXjc112Krd6OU4mSEetxPsMLb13l6Ok6lrqiC9Yg8ldWlkVh5ErbLCXuPNYPdbGeJxm8EZDF2FhZktfZymcqhoGdDxszM60s9dYcvYmvU58cUrSS7bhLW5E32dL2OC77P8nvwggN75JOeat01/Huq/kd0535NUup7U8m0oUGKrdifc5SoGu9/Seq+lmQP39fubTRkfkFq+naTSjVibO9PHaSoTfJ/mQP5PJnuO85lCp9PJ8nlx3oiMjGTQoEEMW/sYdv28TR1Op9DWNJC5cDcFq+OoTi6guaEJjZsdtv288bphMK4T//kmqq01Gg1FVeQtj6ZoUyLVRwtpKKhEqVZh3dMNz2sH4nPbcBQqw5mS5VGZpH29lfID6TQUVaGyNMfc2Qb7CF+8bxqC0+h/tgXU1jWS8f0O8v88RE1qEc1NWswdrLD0dcRpdDCBMyegsjA/ux9WO+277EvKIzPpP/823C4JNXpP0uurSJ+9Hf8HLiLk1cv1yoo2J5K5YDcVkZk0ltdi7miF48ggAh8bj20fT717azNL2DH0fSx8HBm1+xkyvt9B7u9R1BwrQmmuYnzi6wBUpxRy7ItNlO5Kpf7434+5ozW2YV54To/A/fLw1jZPtUajLruM9O+2U7w5idqsUhQqJRYedjiO6oHvHSOw6e2hd39VYh5pX26lZNdRGoqqMLPWYBfhi99dI3GZaPhN56nWaBRuSCBz3i4qorNoqqpH7WqD06geBDwyDpsQd4P7tw95j7qsUkbve47KuFwy5uygMj6XpvJahq9/HNsw49tZni8qDmWzd8oXHDx4kIEDB566wnnoxO/e+8PX4GUTfuoK4oJW11TBZ1EjqGsq55nBMV02KTOVnKpYvo29pFv/zjhBRjSEMKHazFIib5xLzdFCVNZqHIYGYGZnQV1OOcWbEmksrtZLNNpSvCWJxFdWovGyxyrQBftBfjQUVFJ+MIPyyBUUb02m//zb9BbDFW9NIurWBegatdiGeeEwxJ/mxmbqc8vJXxWLykbTmmjompuJvnU+JTuOYmZngeOIIMzsLGgorKT6aCHHPt+E710ju0yi4Xn9YMojM8lZdNBooqHTNpO7LBrA4PC+Iy//SebcnSjMlNgN8MHR056aY8Xk/xFD4Zp4+s251fjfiU7HoXt+omhzIo7DA7EOcaMuuwyAyoRc9l/5DdqqeqyDXXGd3AcUUJ9XQfGWJJrrGvUSjZMp3pLEoft+oqmyHo2HHS7jQkCpoDa9hKwf96J2sdFLNArWHib2/p9prm/Cupc7jsMCW36+tiRRvCmRwJkTCH5uSvs+WCD57b9J+3ILKBU4DA3AwtOeysO55C6JJH/lIfp9fwuuk/oYrZs+ezuZ83ZhF+GLy4ReLZ+PsvO2PBVCnFs5VYfwsA5D+a8taWsaS/gz9Vlqm8oIcZwkScYFThINIUxE19xMzF0/UHO0ENcpfQn97DrMHaxay5uq6imPat/2gLb9vBm6+mHsB/rpXa/PryDqlvkUrj1M/p+H8JjWv7Xs2Kwt6Bq1hH19I55XD9Cr11BSTV1maeufy/amUbLjKLbh3gz54wFUVv/MudXpdJTvT8fMRtPuZz8xMtNRk3Pfb9d9Hlf1J+m1lRRtPEJDcTVqZ2u98qItSTQUVGLbz1vvpTxz4R4y5+7Eupc7/b+/Beue/5xOW/B3PIfu+4m4h39j9J5n9f6ugNakYuSWJ7EKdNEry/huB9qqeoJfuITAx/S3mGyqrqcqIa9dz1WbVUrMvT+hraqnx7MXE/DoOJRmKr3yxuJ/LWIsqCT+0d9orm8i5NXL8H9gTGtZya6jRN0yn2OfbcJhaAAu43udsv/CjUdI+3ILKis1ET/dieOIoNaytK+3kvzmX8Q9/Bujdj6D2sXGoH7WD3sY8OMdbSYiQojzy6+Jd9Ks0+Jm1QsrM2eqGgvIrY6jXluJndqTywLfNnWIwsQk0RDCRArXJlAZl4OFryPh39yEylJ/NMDMRoPzRe070dTYdBUAjbsdPV++lMgb5pK/KlYv0WgorATAZYLhC6bayRq10z8v5w1FLSehOg4L0EsyABSKlm+2O8J5fAgWvh07obYjzO0tcb0klPw/YshbHo3fPaP0ynMXtWz5+O/RDJ22mdRPNwDQ79ub9ZIMALdLQ/G5dRiZ83eTuzQKv7v12wQIfvESgyQDoKGw5fMz9lmbWWtwGOxvcN2YjG+3o62qx31aP4KemGhQbunjiKXPP59r9k97aaqsx2FIgF6SAeA0sgd+d48i7cstpM/e1q5EI2P2NgD87hmll2QABDw0loK/4ig/mEHWT/sImjnBoL7XjMGSZAjRjYzwvJ/E0nUU1CRR21SGUqHCUeNHiOMkRnrdL6MZQhINIUylaHMiAJ7XRBgkGaejuUlL6Y6jlB1Mp6Ggiub6RnQ60FbVA1CTWqR3v32EL9VJBcQ+9CtBj0/AfpCf0XUcALbh3ihUSrJ/3Y9VD1fcLgtD49q+E3GNCXy08w6OaovX9YPI/yOGnEUH9BKNxrIaCtcloFCr9EZyKuNyaMivxLqXOza9jCdujiOCyJy/m/KDGWAk0XC7NMxoPbsIH4o2HiHhuWX0ePZiHIcHodR0/Ndv0eYkALxvOvXhUwCle44B4Hm98TnAXjcMJu3LLZTtS0OnbW7z7x9afr7K9qe3tPef6Wat7c0YTPnBDEp3HwUjiYbbVOOfjxDi/DTS6z5Get1n6jBEFyaJhhAmUpfVMjXJOtj1jNuqPlpIzJ0/UJ1c0OY9TZX6e4gHv3gplfG5FG9KpHhTIkpLc+z6++A0ugee1w7Eyv+fb6KsApwJef1ykt5YzZEX/uDIC39g6e+Ew2B/XC/pi9ulYSd9STUF57E90XjZUxmXQ2VCbusi7rwVh2iub8LtsjDMHf+Z/lSb0bIPfHViPus9nztp2w3FVQbX1C42bSaMAQ+ObZl+tj2FyBvmotSYYRvqieOIIDymRxgsMG9LXXbHfmbqc1v2fbf0M77ri6WvIygVNNc10VhaY3S60wmNpTU01zeBUoGlj4Px9vydjvdbYbTcoo16QgghuidJNIQwlVOcUtoRh+79ierkAlyn9CXgobFY93TDzM4ChUpJ9dFCdo3+CP6zv5zGzZZhax+ldFcqxVuTKdufTkVUJmV7jnHss030+eAavG8c0nq/392jcL+iHwV/x1O2L42yfWnkLo0id2kUtmFeDF52P2a27Tv34diszVSnFHb4OTtySrZCqcRz+kDSZm0mZ9FBer3WsrNU7pKDgOEicJ225XApjacdThf1PGnbxl70lSdZCK+yUjNo8b2UR2ZQtDmRsn3plB9Mpzwyk7SvthL0zGR6PDmpPU/VjnuMVevkBden2V5njNwJIYQ4f0iiIYSJWHg7AC2jEWeiOrmAqoQ81C429J97q8HIQk1acZt1FUolTqODW3eX0tY0kDFvFylv/82RF//A/fJwveRB42aL7+3D8b19OACV8TnEPbqIyrgcjs3aQs8XL2lXzMWbk05rMXhHEg0ArxmDSJu1mbxlUfR8+VJq00ooP5iB2s0W5/EhevdaeDkAoHGz63A/7WU/0K91wX5zQxN5y6M5/PRSUj/agMeV/U85UmHh7UDN0UKqjxa1xnsyGk97qlMKqU0vBiPrfWozS6FZh9LCDDOHk5/bYe5ohVJjRnN9E7WZpVgHGa5FqU0vOd6v3SljE0II0f1JoiGEibiMCyH7x73kLo0i8PHTP4OisawGAI2HndHpS3lLo9rdlspKTeAj48icv4v6nHKqjxZiP8C3zfttQ73wu2cUh59aStXh3Hb3M3jZ/e2+90xY93DFfog/5fvTKd6c9M8ag2sG6O3WBGAX4Yu5oxWVcTnUHCsyuqi7MynVZnjNGEz2L/sp25dGVULuKRMN53Eh1BwtJPuXfe3aKMBxeCAl21PIXRKJzy3DDMpzfmtZFO8wNMDg8zCI10yFwxB/SnYcJXfJQaNb4uYsbmnPcUQPgzIhhBAXnq41qVqIC4jrJX2xDfOiLrOUuId/o7GiVq+8qaqe4u0pp2zHKtAFlAqqjuQZjBJk/7afvD9ijNZL+2Zr65as/1YenUVDfiUoFa3fmpfsSKFw4xGam7R69+q0zRRtbFnU3lXn33tdPwiAnF/3k7s0suWakcXMSnMVQU9MRKdtJvrOH4xuLdzc0ETB2sMnXQtjTOaC3UanitWkF1OVlA+Ahc+pd+Hyv/8iVNZq8v+I4dgXm1une51Ql11GRUxW65+9bxmGykZD2b40Mubs1Lu3dHcqmfN2HW9Xf0eqtvjdfxEAGd/voGxfml5Z+uxtlB/IwMzOAu+bhxipLYQQ4kIjIxpCmIhCqaT/3Fs5eMMcCv6Ko3hbcuuBffXZ5VTG52DX3+eU31yrXWzwvWMEmfN2ceDa73AcEYTGzZaqhDyqjuQR8Oh40mZtNqh37LNNJL/xF9Y93bDu6YZSY0ZddhllB9KhWUfAI+PQuLXsLFV5OJekV1dhZmeBbbg3GjdbtLWNlEdl0JBfidrNloCHx52Nj+mMeUzrT+L/VlLwdzyAwdkZ/+Z372hqs0rJ+G4H+6Z+iU1fT6z8nVCoVdTnVlAZl4O2poGIn+8y2P72ZLJ+2tu6gN6mtwcqKzUNhZWU7ktD16DF/ar+2Ee0PXJ0gqWvI/2+vZlD9/9MyrtryFywC/sIP1BAbUYplfE5BD0xEbv+PkDLVLewWTOIfeAXEv/3J9m/7MOmtwf1eRWU7j0GzToCZ04wuu2uMa6T+hDwyDjSvtzC/qtn4zgsEI2HXevPmtLCjLAvbzijHcmEEEJ0H5JoCGFCln5ODF/3OJlzd5K/Oo6yvcfQaXVo3Gxxmdzb6DfvxvR68wps+niQtXAPFVGZKMxV2PXzJuJ/d2Hd09VootH7naso3pZMRUwWJbuO0lzXiMbNDtfJffC9YwTO4/5Zw+B6cV+aKuoo3XOM2mNFlB9IR2WlxsLbAZ/bhuN72/CT7lhkSma2FrhNDSNvWcsUslN9pr1evwK3S0LJ/GEP5fvSKEwpQGVh3vp34npxXxyHB3YohuDnplC4PqFlsf3+dJqq6tC42OA4PAifW4bidln7t311mdibEZueIH32Noq2JFG08QhKtQqNpz2+tw/H/Yp+eve7XRLKsDWPkvblFkp2HiV/VWzLGS1je+J796h2nTz/bz1fuhSHoQFkzttFRUwWZQfSUbtY43ntQAIeGdfm1sBCCCEuPAqdTqc79W1CdA2RkZEMGjSIYWsfw66ft6nDEUIIKg5ls3fKFxw8eJCBA42fWXK+O/G7d3rwLFwsT74rmxDi5Ipqk1ma8mi3/p1xgoxoCCGEEOKkXFxcsLSwYmnKo6YORYhuwdLCCheXs7vpSFcgiYYQQgghTsrPz48jiQkUFRWZOhQhugUXFxf8/PxMHcZZJ4mGEEIIIU7Jz8/vgngxEkJ0HtneVgghhBBCCNHpJNEQQgghhBBCdDpJNIQQQgghhBCdThINIYQQQgghRKeTREMIIYQQQgjR6STREEIIIYQQQnQ6STSEEEIIIYQQnU4SDSGEEEIIIUSnkwP7xHmpOrnA1CEIIQQgv4+EEKItkmiI84qLiwsWVpbEPfKbqUMRQohWFlaWuLi4mDoMIYToUhQ6nU5n6iCE6IiMjAyKiopMHYY4rqmpibvuuouqqip++eUXLCwsTB1St1RbW8tNN92EnZ0d8+bNQ6VSmTok8S8uLi74+fmZOgwhhOhSZERDnHf8/PzkH/Qu5P333ychIYGdO3cyfPhwU4fTrf3222+MHj2azZs38+yzz5o6HCGEEOKkZERDCHHa4uPjGThwIDNnzuT99983dTgXhGeffZbPP/+cqKgo+vbta+pwhBBCiDZJoiGEOC2NjY2MGDGCmpoaIiMjZcrUOVJXV0dERAQ2Njbs3r0bMzMZmBZCCNE1yfa2QojT8sEHHxAdHc3ChQslyTiHLCwsWLhwIZGRkXzwwQemDkcIIYRok4xoCCE6LDY2lkGDBvH000/zzjvvmDqcC9ILL7zAxx9/zMGDBwkPDzd1OEIIIYQBSTSEEB3S2NjIsGHDaGho4ODBg2g0GlOHdEGqr69n0KBBaDQa9uzZg7m5ualDEkIIIfTI1CkhRIe8++67HDp0iIULF0qSYUIajYYFCxYQExPDe++9Z+pwhBBCCAOSaAgh2i06Opo333yTF198kUGDBpk6nAve4MGDef7553njjTeIiYkxdThCCCGEHpk6JYRol4aGBoYMGQLA/v37UavVJo5IQMsUqiFDhqBSqdi7d6/8vQghhOgyZERDCNEub7/9NocPH2bBggXyMtuFnJhCFRcXJwvzhRBCdCmSaAghTikyMpK3336bl19+mYiICFOHI/5j4MCBvPTSS7z99ttERkaaOhwhhBACkKlTQohTqK+vZ/DgwZiZmbFv3z7Z3aiLamhoYNiwYWi1Wg4cOCCjTkIIIUxORjSEECf1xhtvkJiYyMKFCyXJ6MLUajULFiwgISGBN99809ThCCGEEJJoCCHatn//ft5//31eeeUV+vXrZ+pwxCn079+fV155hXfffZcDBw6YOhwhhBAXOJk6JYQwqq6ujkGDBmFpacnu3btlNOM80djYyPDhw6mrq+PgwYNYWFiYOiQhhBAXKBnREEIY9dprr5GSksKCBQskyTiPmJubs3DhQlJSUnj99ddNHY4QQogLmCQaQggDe/bs4cMPP+T1118nLCzM1OGIDgoLC+PVV1/lgw8+YO/evaYORwghxAVKpk4JIfTU1tYSERGBvb09O3fuxMzMzNQhidPQ1NTEiBEjqKqqIioqSqZQCSGEOOdkREMIoeeVV14hLS2N+fPnS5JxHjMzM2PhwoWkpqbyyiuvmDocIYQQFyBJNIQQrXbt2sXHH3/Mm2++Sd++fU0djjhDffv25c033+Sjjz5i165dpg5HCCHEBUamTgkhAKipqWHAgAE4OzuzY8cOVCqVqUMSnUCr1TJ69GhKSkqIjo7G0tLS1CEJIYS4QMiIhhACgJdeeonMzEwWLFggSUY3olKpmD9/Punp6bz88sumDkcIIcQFRBINIQTbt2/n888/5+2336ZXr16mDkd0st69e/P222/z6aefsmPHDlOHI4QQ4gIhU6eEuMBVV1fTv39/PDw82Lp1q4xmdFNarZYxY8ZQUFBAdHQ01tbWpg5JCCFENycjGkJc4F544QVycnKYP3++JBnd2IkpVNnZ2bz44oumDkcIIcQFQBINIS5gW7ZsYdasWbz33nv07NnT1OGIsywkJIR33nmHL774gq1bt5o6HCGEEN2cTJ0S4gJVVVVFeHg4fn5+bN68GaVSvne4EDQ3NzNu3Diys7OJiYnBxsbG1CEJIYTopuTNQogL1HPPPUdBQQHz5s2TJOMColQqmTdvHnl5eTz//POmDkcIIUQ3Jm8XQlyANm7cyNdff80HH3xAjx49TB2OOMeCg4N5//33+eqrr9i0aZOpwxFCCNFNydQpIS4wFRUVhIeH06NHDzZs2CCjGReo5uZmJk6cyLFjx4iNjcXW1tbUIQkhhOhm5A1DiAvMM888Q3FxMXPnzpUk4wKmVCqZO3cuRUVFPPPMM6YORwghRDckbxlCXEDWrVvHd999x0cffURgYKCpwxEmFhQUxIcffsi3337L+vXrTR2OEEKIbkamTglxgSgvLyc8PJxevXqxbt06FAqFqUMSXUBzczMXX3wxSUlJxMXFYWdnZ+qQhBBCdBMyoiHEBeKpp56irKyMOXPmSJIhWp2YQlVaWspTTz1l6nCEEEJ0I5JoCHEB+Pvvv5k7dy6ffPIJ/v7+pg5HdDH+/v58/PHHzJkzhzVr1pg6HCGEEN2ETJ0SopsrKysjNDSU8PBw/v77bxnNEEbpdDqmTJnC4cOHiYuLw8HBwdQhCSGEOM/JiIYQ3dwTTzxBVVUV33//vSQZok0KhYK5c+dSWVnJk08+aepwhBBCdAOSaAjRja1atYoFCxbw2Wef4evra+pwRBfn6+vLp59+yvz581m9erWpwxFCCHGek6lTQnRTJSUlhIWFERERwapVq2Q0Q7SLTqfjsssuIzo6mvj4eBwdHU0dkhBCiPOUjGgI0U09/vjj1NTU8N1330mSIdpNoVDw3XffUVNTw+OPP27qcIQQQpzHJNEQohtasWIFP/30E1988QXe3t6mDkecZ3x8fPj888/58ccf+fPPP00djhBCiPOUTJ0SopspLi4mNDSUoUOHsmLFChnNEKdFp9Nx5ZVXcuDAAeLi4nB2djZ1SEIIIc4zMqIhRDfz6KOP0tDQwLfffitJhjhtCoWCb7/9lvr6eh577DFThyOEEOI8JImGEN3I0qVL+fXXX5k1axaenp6mDkec57y8vPjiiy/45ZdfWLZsmanDEUIIcZ6RqVNCdBOFhYWEhoYyatQoli1bJqMZolPodDquvvpqdu/eTXx8PC4uLqYOSQghxHlCRjSE6CYeeeQRmpubmT17tiQZotMoFApmz55NU1MTjzzyiKnDEUIIcR6RREOIbmDx4sUsXryYr776Cnd3d1OHI7oZDw8PvvrqKxYtWsSSJUtMHY4QQojzhEydEuI8l5+fT2hoKOPHj2fx4sUymiHOCp1Ox7XXXsu2bduIj4/Hzc3N1CEJIYTo4iTREOI8Ji9/4lwqKCggNDSUsWPHsmTJEklqhRBCnJRMnRLiPLZo0SKWLVvG119/LUmGOOvc3Nz4+uuvWbp0KYsXLzZ1OEIIIbo4GdEQ4jyVl5dHaGgokydP5rfffjN1OOICMmPGDDZs2EB8fDweHh6mDkcIIUQXJYmGEOch2XJUmNKJrZRHjhzJ8uXLZQqVEEIIo2TqlBDnoZ9//pkVK1Ywe/ZsSTLEOefq6so333zDihUr+OWXX0wdjhBCiC5KRjSEOM/k5OQQGhrK1KlT+fnnn00djriA3XTTTaxZs4b4+Hg5iV4IIYQBSTSEOI/odDquvPJKDhw4QFxcHM7OzqYOSVzAiouLCQ0NZejQoaxYsUKmUAkhhNAjU6eEOI/88MMPrFq1im+//VaSDGFyzs7OfPvtt6xcuZIff/zR1OEIIYToYmREQ4jzRFZWFmFhYVx55ZX88MMPpg5HiFa33norK1euJD4+Hm9vb1OHI4QQoouQREOI84BOp2Pq1KnExMQQHx+Po6OjqUMSolVJSQlhYWEMGDCA1atXyxQqIYQQgEydEuK8MH/+fNasWcP3338vSYbocpycnPjuu+/4+++/WbBgganDEUII0UXIiIYQXVxGRgbh4eFMnz6defPmmTocIdp05513smzZMuLi4vD19TV1OEIIIUxMEg0hujCdTseUKVM4fPgwcXFxODg4mDokIdpUVlZGWFgYoaGhrFmzRqZQCSHEBU6mTgnRhX3//fesX7+eOXPmSJIhujwHBwe+//571q1bx5w5c0wdjhBCCBOTEQ0huqi0tDTCw8O54YYb+P77700djhDtds8997Bo0SLi4uLw9/c3dThCCCFMRBINIbqg5uZmJk+eTHJyMnFxcdjZ2Zk6JCHarby8nPDwcEJCQli/fr1MoRJCiAuUTJ0Sogv69ttv2bRpE/PmzZMkQ5x37O3tmTNnDhs3buTbb781dThCCCFMREY0hOhiUlNT6devH7fccguzZ882dThCnLb777+fn3/+mdjYWAIDA00djhBCiHNMEg0hupDm5mYmTJhAWloasbGx2NramjokIU5bZWUl4eHhBAYGsnHjRpRKGUQXQogLifzWF6IL+frrr9m6dSvz5s2TJEOc92xtbZk7dy5btmzh66+/NnU4QgghzjEZ0RCii0hJSaF///7ceeedfPnll6YOR4hO8/DDD7NgwQIOHTpEjx49TB2OEEKIc0QSDSG6gObmZsaOHUt2djaHDh3CxsbG1CEJ0Wmqqqro168fPj4+bNmyRaZQCSHEBUJ+2wvRBXzxxRfs2LGD+fPnS5Ihuh0bGxvmzZvH9u3bmTVrlqnDEUIIcY7IiIYQJpaUlET//v257777+Pzzz00djhBnzWOPPcacOXOIiYmhZ8+epg5HCCHEWSaJhhAmpNVqGTNmDAUFBURHR2NtbW3qkIQ4a6qrq+nfvz8eHh5s3boVlUpl6pCEEEKcRTJ1SggT+uyzz9i9ezfz58+XJEN0e9bW1syfP59du3bJ6J0QQlwAZERDCBM5cuQIAwYM4KGHHuKTTz4xdThCnDNPPPEEs2fPJioqit69e5s6HCGEEGeJJBpCmIBWq2XUqFGUlpYSFRWFlZWVqUMS4pypqalhwIABODk5sXPnTplCJYQQ3ZRMnRLCBD7++GP279/PggULJMkQFxwrKysWLFjAvn37+Pjjj00djhBCiLNERjSEOMcOHz5MREQEjz32GB9++KGpwxHCZJ555hlmzZpFZGQkffv2NXU4QgghOpkkGkKcQ01NTYwYMYKqqioiIyOxtLQ0dUhCmExtbS0RERHY2dmxa9cuzMzMTB2SEEKITiRTp4Q4hz744AMiIyNZsGCBJBnigmdpacmCBQs4ePCgjO4JIUQ3JCMaQpwjsbGxDBo0iKeeeop3333X1OEI0WU8//zzfPLJJxw8eJDw8HBThyOEEKKTSKIhxDnQ2NjI8OHDqa+v5+DBg2g0GlOHJESXUVdXx6BBg7CwsGDPnj2Ym5ubOiQhhBCdQKZOCXEOvPfee8TExLBgwQJJMoT4DwsLCxYsWEBMTAzvv/++qcMRQgjRSSTREOIsi46O5o033uD5559n8ODBpg5HiC5pyJAhPPfcc7zxxhvExMTolTU2NpKXl2eiyIQQQpwumTolxFnU0NDA0KFDaW5uZv/+/TKaIcRJ1NfXM3jwYMzMzNi7dy9qtRqAn3/+mZkzZ1JQUIBCoTBxlEIIIdpLRjSEOIveeecd4uPjZcqUEO2g0WhYuHAhsbGxvPPOO63Xra2tKSoqIj8/34TRCSGE6ChJNIQ4SyIjI3n77bd58cUXGThwoKnDEeK8MHDgQF588UXefvttoqKiAAgMDATg2LFjpgxNCCFEB8nUKSHOgvr6eoYMGYJSqWTfvn2tU0CEEKfW0NDAkCFD0Ol0HDhwgNraWhwcHPjll1+48cYbTR2eEEKIdpIRDSHOgjfffJOEhAQWLlwoSYYQ7ZCZmdk6YqFWq1m4cCEJCQm8+eab2Nvb4+joKCMaQghxnpFEQ4hOduDAAd577z1eeeUV+vfvb+pwhDgvvPfee4SEhPD4449TUlLCgAED+N///se7777LgQMHCAwMlERDCCHOMzJ1SohOVF9fz8CBA+XgMSE6qK6ujs8++4x33nkHMzMzXnvtNe655x5Gjx5NQ0MDISEhVFZWsn79elOHKoQQop1kREOITvTaa6+RnJzMggULJMkQogMsLCx4/vnnSU5O5tprr2XmzJkMHDiQu+66i8TERHJycmREQwghzjMyoiFEJ9m7dy8jR47kzTff5MUXXzR1OEKc12JiYnjyySfZtGkTPXr04OjRo5iZmVFXV4dKpTJ1eEIIIdpBEg0hOkFdXR0RERHY2Niwe/duzMzMTB2SEOc9nU7HypUrefrpp0lOTgYgOTmZ4OBgE0cmhBCiPWTqlBCd4JVXXiE1NZWFCxdKkiFEJ1EoFFx55ZXExcXx7LPPYmNjI6MZQghxHpERDSE6YMWKFdjb2zNu3LjWa7t27WL06NG8++67PPfcc6YLTgghhBCiC5FEQ4gOGDRoEIMHD+bbb78FoKamhgEDBuDk5MSOHTtkNEMIIYQQ4jh5KxKiA44dO8b06dNb//zyyy+TkZHBn3/+KUnGeSYjI4OioiJThyGEEJ3OxcUFPz8/U4chhCQaQrRXeXk5paWlBAYGArB9+3Y+++wzPvzwQ3r37m3i6ERHZGRk0Kd3H2pqa0wdihBCdDorSysSjiRIsiFMThINIdopLS0NgMDAQKqrq7nrrrsYMWIEM2fONGlcouOKioqoqa3hpXu+x9+zl6nDEUKITpOem8jbc+6lqKhIEg1hcpJoCNFOJw4LCwwM5MUXXyQrK4vVq1ejUqloamri+++/Jzs7m7feesvEkYr28vfsRYj/AFOHIYQQQnRLsr2tEO107NgxLC0tSUhI4IsvvuDdd98lJCSENWvW0L9/fx5++GEaGxtNHaYQQgghRJcgiYYQ7XTs2DH8/Py46667uOiii5g8eTJTp07l0ksvxdXVlQMHDvD++++bOkwhhBBCiC5Bpk4J0U5paWnU1dWRn5/P6NGj6d+/P/7+/ixdupSrr74ahUJh6hCFEEIIIboMSTSEaKe4uDjS09OxtLRkxYoVvPfeezz66KNoNBpThyaEEEII0eVIoiFEO2VkZABw22238cYbb+Dm5mbiiIQQQgghui5JNIRop2eeeYYpU6Ywbtw4U4cihBBCCNHlSaIhRDu9++67pg5BiE7x986feX/+g0wZeRMv3DW7XXVyi9K58flw3J39WPR+3FmO0DRmPBdGfnEGv74Xi6eLf6e2nVecwe3/G8LI/pfy6v0LOrXtM6XT6bjnjdFUVpfy41sH0agtTR3SOVNYmsNvaz9nX+x6CkqzMVOZ4+LgSVjwcO648gVcHb061F5VTTk/rf6I7VErKSjJxtrSlrDg4dx86ZP0CRpstM6Jn7u2XDH2Lp669bMOxSFEVyGJhhBCiG7vdJKrzvT14pdo0jZy91Uvn/O+T0WhUHD3VS/z4qwZ/LrmM+648gVTh3RO7I1dx2uz76C2vooAr96M7Hcp9Y21ZBeksnr7QqaMvKlDiUZxeT6PvjeZnMI03J39GD3gMgrLctgRtYpdMX/zyn3zGDf46jbrjxk0DUuNtcH10KAhp/V8QnQFF1SikZGRQVFRkanDEKJbcHFxkVNnhWiH2OQ9bDu4gotH3ICPe7CpwzFqZP9LCfEbwG9rPmfauHtwtHM1dUhnVUpmLC9/dTNqcwven7mUYWGT9cqz8o9iY2XfoTY/WvgoOYVpTBg6nRfv/h4zVcsr1o6o1bzy9c28N+9BwoKH4+LgabT+g9e91ekjaUKY2gWTaGRkZNCrT2/qampNHYoQ3YKFlSWJCUck2RDiFH7f8DUAl110u4kjOblLR9/C5788zaptC7j18mfOal9NTY3EHd3LgF6jz2o/bfnkx5k0NtXz8r1zDJIMAB/3Hh1qLzX7MLsPrcHa0o6nb/uiNckAGB1xGRePuJE1u37m9/Vf88B1b55x/EKcLy6YRKOoqIi6mlqCZ03HsqeLqcMR4rxWm1xEyqNLKSoquiASjYy8ZH5e/RHRiTsoLs/D3EyDnY0TPf36MXn4DMYOmmZQ53Dqfpas/4rYlD2UVRRibWlHaI+h3HDJTPr1HGFw/7h77ADYMqeClVvns2LLXDLzk9GYW9A/ZDR3XvUSQd59jfaz9eAKoo5sp7Aki8qaMuxtnAkNHsaMix8ltMfQzv9AjKitr+aPTd+z5eByMvNSaNI24uUawNhBVzFjymNYWdjo3T9/xTssXPket1/xPNPG3cP8FW+zO3Yt5ZVFODt4Mn7wNdwx7QU05hYGfTU1NbJ4/Zes2fkzuUXp2FjZMyR0Andf9T/+2vFja7t3TnsR0J8Dv3bXL6zd9UtrW21NpToQv4lf/v6UxPQomrSNBPmEcsvUpxk1YGqHPpeislx2RK/C0yWAfj1Htnlfek4iSzZ8RWTCVorKclGbW+Dm6M3g0AlcM/F+PJxb/j+LOrKdJz66jP4ho/ngiWX8tPpDNu79naKyXJztPbh09C3cPPUpVEoVBSVZLPjzXfbFbaC8qgQf9x7ceMlMLh5xg9EYJg69lq8WvcDKbfO5eepTKJWde6avTqfjUPIuNuxZzNaDf2BpYWuS9T6JaVEcTt2Pu7MfYwZe2Slt7ohaBbSMDFlZ2BqUTxp+PWt2/cyO6FWSaIgLygWTaJxg2dMFm/COLe4SQly4UrPieeS9i6mpq8TPI4SR/S8FhYKi0hz2x2+kvqHWINFYtHYWs39vmYvf028AoUFDKSzNZs+htew5tJYnb/2My8fcYbS/L397nmUbZxPecySjBkwlOT2G7VEr2R+/kQ+eWG6QpMxZ/ibRidsJ9OpD78BBmJtryMxLZtvBFeyIWnXKeeGdoaAkm2c/u5q0nCM42LoQ2mMIanMLjhyLZOHK99gRtYrPnlmNrbWjQd3C0mzue2sM6HSE9hhGTV0Fscl7+HXNp6TnHuGdRxfp3a9t1vLilzPYF7cBjdqSQX3GYqmxIfLINva+OYYR/S4x6GPsoGkcTt1PXMoevFwDCf/XZxgebJj0/bXjB35a/RG9AwYyLHwymXkpJKQe4OWvbuTV+xcybvBV7f5s9hxai1bbxMA+Y9s81HPtrl/46IfHaGxqwMs1gJH9L6WxqYHsglQWr5tFoHdfLh11s16dJm0DT38yjbTsBAb0uggf9x4cStrFvD/eoqg0lxlTHuWR9y7GQm1FeM8RFJXlEpu8m3fm3odCoWDy8BkGcdjZONHTvz8JqQdIyoimd8DAdj/nyaRkxrJx7xI27vudgpIsABxsXZg49NpOab+jDhzeBEB48HAAdsX8TfSR7dQ11OLp4s9FA6/o8IhGSsYhgDY/sxPXswtSqamrMki8Af7e8SMV1SXodDrcnHwZGjaRnn79OxSHEF3NBZdoCCFERyxZ/xU1dZXce82r3Dz1Kb2ymroqjmXH613bG7uOb5a8hIuDJ2889BN9/7WQMzZ5D89/cS2f/fwU/UNG4evR06C/VdsW8Okzq+kfMgpo+Rb4+2Wv88vfn/DW93fz49uRet/yz5jyKC/fMwcne/1zXXZF/80r39zCJz/OZHj4FCw0Vmf8WRij0+l4/dvbScs5wtUT7uOBa99s3bWovqGWj354jPV7FvHloheMjhz8teNHLrvodmbe/DHmZmqg5dv9B94ez66Yv4lN3kN4z+Gt9y/bOJt9cRtwd/bjs6dX4ekaAEBDYz3vzX+ANbt+Nujjoevf5u+dPxOXsofwniNOuRj8tzWf897jv+tNqflh1QfM++Mtvl/2WocSjejE7QBtjiwdOXaQDxY+gk6n45nbv2Tq6Fv1EpL0nESj9eKP7iO85wh+fS+2dS1BSmYsD7w1jlXb5hOTtIMJQ6fz0PXvoFKqAFi+6Ts+/+Vp5q94x2iiARAaNJSE1ANEJWw7o0QjtyidjXuXsGHvEtJyEgCwtrRjysibmDj0Wgb2Gac3veiEE4v2O+q5O78xSMbakpoVfzweW5746PLWv6MTvl/+Ordf8Ry3X/F8u/vPLUoHwN3Z+AivjZU91pZ2VNdWkFecYXR08odVH+jHsew1Rg24jOfv/Npoki7E+UASDSGEOInSigIAhhqZx21lYUNoj2F61xb82bIN8jO3z9JLMgDCew7n1sufZfaSl1m5dT4PzXjHoM0rx93dmmTA8R2Brv4fWw4sI6cwjW0HV+i9JBqbXw4wcsCljBt8FRv2LiEqcZvRb/o7w7649cQf3UffoCE8esMHetNtNGpLnrz1Mw7Eb2LD3sU8MuNdgxcmNycfHrvxg9YkA8DfqxcXj5jBii1ziTyy5T+JxrcA3H3Vy61JBoDaXMNjN37Erpg11NVXn9EzXT3hfoPP9cZLZrJo7SyyC1LJL87E3dm3XW2lZMa2PJNniNHyH1d/hFbbxI2XPMFlF91mUO7v1ctoPaVCydO3fqG3YDnYN5xh4RezM3o19Y11PHDtm61JBrRskzp/xdvkFB5r8xkCvHoDkJwZ067n+7eyymK2HFjGhj2LiU/dh06nQ6O2ZOygq5g49FqG9bvY6FS4f/N2C2LKyJs63Le3W1C7762oLgVg9fYfMDNT89StnzM64nK0zU1s3r+M75a+xvwV7+Dm6MOlo29pV5u19VUAJ03oLTXWVNdWUFtXqXd9RL8p9Os5kt6BA3F28KSoNIfIhK3M++Mtdkav5qUvb+SzZ/7q9KlsQpwLkmgIIcRJ9A4cxJ7YdXzy00zunvYy/UJGoTbXGL23rLKYhGMHsba0Y3DoRKP3DDieRMSn7jNabuybZpVSxYSh1/LT8XUi/72nrLKY3YfWcCz7MFU15WibmwA4lt3yTXJWXgr0a9/zdtSe2HVAy9acxl6ELDXW9AqIYE/sOo6kRTLkP59LRO8xRs9t8PNoeTEvKstrvVZQkkVuURpKpYoJQ6Yb1HGwdWZw3/Gt8+VPl7GkzNxMjZdrAMkZMRSV5bY70SitKATAztrJoEzbrOXg4c0ARpOMk3F39jOahJx44Y7odZFe8gZgpjLDwyWAiurSNp/hRCJ4Iu72euv7e9h8YBlabRMqlRlDQycxcdi1jI643Oiahbb06znC6BqmzqTTNQPQpG3kiVs+1fvsr5v8MM3NzXyz5CUWrHyv3YnGmZh588d6f/Z2C8LbLYihYZO4+/VRHErexbbIPzs0kiZEVyGJhhBCnMQNUx7nUPJuIhO28PSnV2FupiHYL5wBIaOZPHwGQT6hrffmFaUBUF1bwcT7Tj7VoazS+FbbbW1v6eHccr2wNFvv+p9b5/H1ohepa6hps6/q/3yD2plyC9MAmL3kZWYvOfkZEcae2d3Jx+i9VpYti+MbGutarxWW5gDgbO+BmZm50XrtTQBOxt25jZiOvzA3NNa3u63q2oqWusef59/KK4upa6hBpTLr8JqAts53OHEOw6nK23oG6+PPWFVT3qF4YlP2oNU2oVSquG7Sw1w14d7WBexdzYm/R3MztdHRkyvG3sk3S14ivziDnMJjeLkGnrJNS03Lmou6+rb/P6w9PtJm2c7Ey93Zl0tH3cyS9V+xN3adJBrivCSJhhBCnISFxopPnvqTw6n72Re3gbiUPcQf3U9C6gF+XfMZd057sXUut7ZZC4C1pT2jIy47abv2Ns5nHNuRYwf59KcnUCnNeOC6txjZ/1JcHb2wUFuhUCj4ftnr/PzXx+h0ujPuqy0nnrl/yGg8XE7+Ymls/rpC0fHpIG0tqoaWKUVn6nRiaouNlT1llUXU1FbgbO/+n37afo5TOVWMp/sMJ5JSWyuHDtV7+rbPWbvrF3ZE/8Vvaz9n0bov6Bs0hAlDpjNuyDUGz96WQ8m7Wb19YUfD5rKLbm/3SIjH8WTe1dHL6DoRKwsbHGxdKKssoqS8oF2JhoezH8kZMW2e8F1dW9GadHp0IBn+Z2Qvp911hOhKJNEQQoh26Bs0pHXNRWNTAxv2LuGjHx5lwZ/vMn7IdPw8euJ2/Nt5M5XZaZ8+nVecQbBVuJHrLYtNXRz++aZ668E/0el0XDPxAW6Y8phBneyC1NOKoSNOPPO4wVdx9YT7zmpfJw46KyrLpamp0eioRl6R8Rc9U3GwdaWssoiK6hKDMjsbJyzUVtQ11JBdkNqhdQZnS0VVS5wOdh3bBn5I6ESGhE6krr6GHdGr2LB3CQfiNxF/dB9fLXqBAb0uYsLQ6YwZeCV2NobTyE7ILkjV2364vQb0uqjdiUaIf8tOTuVVpUbLtc3a1hEdYyd1G9PTvz/bo1ZyJC3SaHnCsYNAy7SojkwlO/Fzc2LERIjzjSQaF7DIYZ9Sn1VGxJ6ZWPie+Y4WKTOXU7gkmh6fXIXbjIhOiLDzFS4/RP4P+6lJyEen1WEZ7ILbjAG43zYExWkutCvdnEzud7upOpSDrq4Jjb8jLtPC8HpgFEqN/C/WHZmbqbl01M38teMHYpN3k5oVh59HT1wdvQjyDiU1O56oI9uJ6H1Rh9vesGcxwb76iYa2WcumfUsB9A44q6xpeVFyc/I2aKessogDx+f/n03DwiazevtCthz446wnGu7Ovrg7+5FfnMGWg8uZNOx6vfKKqpI2n9n8eFKi1Tad1Rj/K8S/P2k5CaTlJBpsHKBSqhjUdxw7o/9i9fYfuG/6a+c0NmPSco8AEOI34LTqW2ismDTseiYNu57yqmK27F/O+r2LiUrcRuSRrXz281MM7jueCUOvZXTEZQYv3ZeOurndu0edrmHhF2NupqG6tpzEtCh6Bej/exWTuIMmbSMWGmv8PY0vxv+v0QMuY94fb7ErZg01dZUGz7Vhz2IALoq4ot1x6nQ6th5YAUCvTtpqWIhzTbYwEBeM1BdXkfLIUqoO5WA71B/7MUHUpRZz7KW/SLpvMbrm5g63mf31Do7c8hPlO49hE+aJw8SeNBZVk/nBJuKvnY+2tuEsPIk4l/7Y/D0ZeckG13MKj5F2fLG1u9M/UyHuuqplncLbc+9lf/xGg3raZi2RCVuJP2p8MfgfW+ZwKHl36591Ol3rTkEujl56Z3acmFaxbtdv1NRVtV6vqavk/fkPUVVT1oEnPT2jIy4nxD+CmKQdfPzjzNZvxP+tuDyfVdsWdEp/10y4H2g5PyTvX9NUGpsa+OLXZ1t3//mvEyNBGblJnRJHe0X0GgPQ5t/3LVOfRqlUsWjdF/y903Br3vTcJNLPYcyHj8c54DSS5P+yt3Fm2vh7+PL5dfz6Xiz3XvMqvh492RO7jnfm3se9b5x5H6fD1sqBq8ffC8CnPz2ht/C9oCSLL359FoArx9xpMGp268uDuPXlQSSkHtC7HuQTyvB+U6iuLeejHx6j6V8J7Y6o1azb/SsWaiuunfyQXr0dUatJSo82iLG8qph3591PUkY01pZ2TB196xk9sxCmIl+3XsD6LrodXZMWtYfhIsXT4ffCJLwfGY25W/uHhc+V4tWHyV+4H3M3G0KX3oVlUMv8+IbCKg5ft4CSvxPIm7cXz3vav9tJVUw2Ge9sQGlpTt/Fd2A7sGUKiba6noTbfqZyTzqZ720k4PVLz8oziXNj5bYFfPbzU3i5BhDo3RdLjTUl5QXEpuymsamBCUOn0ydocOv9oyMu46Hr32H27//jmU+vxtc9GF+Pni31KgpIzjhEVU0ZT9zyqdGzFS6/6HZmfnAp/UJG4WzvTlJGDJl5yWjUlrx8zxy9HZouHXUzv2/4mqSMaG56oR/hwSPQoeNQ0k7MzNRMHX0rf+348ax+Pkqlkrce/oXnP7+WlVvnsXHvEnr4huHm6E1DYz2Z+Smk5x7Bwda1zUMKO2L6pAc5cHgj++M3cfv/hhDRewyWamviju6lvrGWKSNuZO3uXw12XOobNAQne3eSMqK5782xBHr1RqUyJzx4+FndWWhY+MWYqcyJPLIVnU5nsC6jT9Bgnr7tCz7+8XHen/8gP676gBD/Aa0H9qXlJPDcnd+0uT1uZ6qoKiE54xBuTj6nPaLRFg9nP26e+hQ3T32K1Kx41u9ZzOE2dl47F+6++n8cSYvkUPIubn15EKFBQ2jWaYk/up+aukr6h4zi7mteMaiXefxLh7qGWoOyZ27/kkffm8ymfUuJP7qfvkGDKSrLJS5lDwqFkufu/Lp1+t8JUYnbWLrhGzxc/An06oO1pS2FpTmkZMZSXVuBtaU9bzz0I452rmfngxDiLJNE4wJmEdD2PNnToXa3Bfeul2QAZH/ZciCT/4uTW5MMALWrDYHvXs7ha+eT/dUOPO4a1u4pVNlf7gCdDq+HR7cmGQAqaw3Bn1xF1OgvyPthPz5PjsPM3nD7TnF+uPuql9l9aC0JqQeIS9lLTV0ljnZu9A8ZxeVj7mDMwGkGda6/+BEG9hnLso3fEp24nQOHN6NSmuHs4E7/kJGM6HcpYwYan0Lx8Ix38XHvwcqt80k4dgC1mYbREZdz17SX9Ha4gpatSL99uWW//QOHN7Mndi0Otq5cNPBK7pr2En9unXdWPpP/cnPy5puXN/PX9h/YcmA5qVnxJKQewM7GCRcHL66/+NEOTRk5GTOVGe88upjF62axZtcvHDy8GRtLewb1HcfdV7/Cj6s+BAwX26vNNXwwcxlzlr/B4aP7SMmIoVnXjLa56awmGk72bowZdCWb9i0lJmmn3tS3E6aOvpXeAQNZvO5Loo5sY2f0aizUVrg5+3LDlMcZ2HvMWYvv3zbsW0KTtpErxtx5Vs9sCPIJ5f5rXz9r7beHRm3JJ0+tZOnG2azb8xsxSTsB8PPsxeTh13P1+Pva3NmsLc727nz7v238tPojtkeuZEfUKqwsbBnZfyq3TH1K7wuJE0YPuJya2kqSMmJIOHaAypoy1GYWeLsFMSR0ItdMvL/NHcSEOB8odGdzO5IuJDIykkGDBhG+5n5swrvf/7TVcblkfryZin0Z6OqbsAx2weOOobjdMJDd3q8CMCJb/xd7W2s04q+dT8XuNPouuQOVjYasT7ZQuT8DbW0jlkHOeNw9DPcbBxnE0FXXaNTnlBM55BMUahVDDr+AytLwH4+Dgz6mIa+CsD/uxnbIqbdkbG5oYn/f92iubSRi5+NGk7a4q+ZSuT+D4C+n43r1WTrEwESqYnOIveRbDh48yMCB59/c4RO/D7773zZC/AeYOhwAxt3TMrK4ZU6FiSM5fzVpm7jz1WFk5iXz7ctbDebem0r80X08/O4kLh5xAy/e/Z2pw2nTfW+MISMviV/fi5Vv0M9jSenR3PfmmPP297PoXmSNRjdQviOV2GlzKF2XiNrFGseLe6Gy0XD02ZWkvbn2tNst25JC3JVzqMssxX5sD2zCPalJyCf16T/Jmb2zE5/g7KqOaznwyyrEzWiSAWA9oCX5rI7PbVebtUeLaa5txMzBss2RIZv+x9uMa1+bQoj2Sc44RFNTo9612vpqZv36DJl5yQR5h3aZJAMgtMdQxg66io37ficrP8XU4Ri1K+ZvkjKiueGSxyXJEEJ0Gpk6dZ7T1jaQ/NgydHVN+DwxFp+nxrfOAa7cn8Hhm09/fnbOVzvo8fE03G745xuRwqUxpDy2jKzPtuJ++xBUluqTtHBqdZmlRA3/rMP1XK8bQPBnV7fr3vrMlp151D72bd6j8W4pq8so61ib3m23eaKsvp1tCiHa5/NfniYt5wg9fMJwdnCnrLKYo5mxlFcVY2PlwHN3fm3qEA08eP1b7Ildy9w/3uLV+xeYOhw9Op2OeX+8jaujNzdMedzU4QghuhFJNM5zJasO05hfiUWQMz5PjtNbaGg7xA+P24eQ8/XpjT44Te2rl2QAuE7vT/as7dQmF1Idk4Pd8IAzCR+VtRrX6wZ0uJ7t0PafOKutbtn5SWXVdlJ0okxb1b4Tf9vVpvXxNqvbf4qwEOLUrhhzBxv2LuFYTgIJx1p2/3Fz8mb8kKuZMeXxNk9XNyUPZz/Wfp1v6jCMUigUzHl1h6nDEEJ0Q5JonOfK96QB4HxlmNFFzC5X9TvtRMNxkvFdTiyDXahNLqQhv/K02v03cyfrdo9MCNGdydqM9psy8iamjLzJ1GEIIYQ4BVmjcZ5ryGt52de0MS2orevtoWljWpDKRgNAc925PfjqdLWOLNS0fabFibITz9YpbZ4Y9bBuX5tCCCGEEN2JjGh0E//dm72Vso3r7XEmddupsaSa9DfWdbie7VA/3G8y3PnKGI2vAwANWeVt3tOQU6F37ynb9DneZnbntSmEEEII0Z1IonGeUx8/t6I+q8xoeX2m8etdhba6gcIl0adVt72JhnVoywFJNUkFaGsbje48VRWd3XJvmKdBmTGWwS4oLcxpKqulLq3E6M5THW1TCPGPGc+FkV+cwa/vxXbKmot35z3A2l2/8Nyd33DpqJs7IcLOt2HvYlZsmUtqVjzaZi1+HiFcOupmpo27p1POtVi5dT4f/9iy2Puq8fcy8+aPu2Q9IUT3IYnGec5umD+Fi6IoXhnfshj8P/8YFa2INVFk7WPh62hwvkdn03jbYx3uSXVsLiWr4g0Wn5fvTqMhtwJzNxtsB/kYb+Q/lGozHCYEU/JXAoXLD+H7xDi98rr0EioPZqJQq3Cc2LNzHkQI0W199vOT/LF5DmpzCwb2GdtymnjCVj7/5WkiE7by+oM/nlGykVecwTdLXkahUNCR47POdT0hRPciazTOc85XhGLuakNtShHZn2/T+4VeGZlF/oL9Joyu6/B+5CIA0t9ZT+2x4tbrjUVVHHtxVcs9D482SNRy5+8laswskh9bZtjmwxeBQkHOVzuojMpqva6trufoUyugWYfHbUPkVHAhTsMnT/3JwjcP4OrQOQes3nfNayx88wAXRVzeKe11pq0HV/DH5jk42bsz77VdvPfYEt56+Bd+ejsKf89ebI9aybJNs0+7fZ1OxwcLHqFZ18zFI27ssvWEEN2PjGic51RWaoK/uIYjd/xC5kebKVoRh1WoB40FVVTsTcfzrmHkfr8bhbnK1KGalPPlobjfNoT8H/YTM+lrHEYHoTBXUb4jFW1lPY6X9MbjzmEG9ZpKaqg7WoTazcagzGaAN34vTiLj7fXETZuL/ahAzOwsqNiTRmNRNTYRPvg+P/FcPJ4Q3Y63W1Cntufs4IGzg0enttlZfv7rEwDun/46Pu7Brded7N144pZPmfnhVH75+1OumfDAaY1q/LllLpEJW3jsxg8oryrpsvWEEN2PjGh0Aw5jehC24m4cJ/eioaCS0jVHaCqvJeidy/C8dwQAZk5WJo7S9ILevZzgL6djE+ZJxZ50yrakYBHgRODbU+n1/QwUqo7/7+D90Gh6/3QL9iMDqIrJpmRDImZOVvg+O4HQpXee8YGGQnQHyRmHeOnLG7jiMT8ueciD+94Yw187Wg4THXePHePusTOoM+O5MMbdY0duUbre9cc/mMq4e+yIOrKdxLQoXpw1gysf92fyA67c/dpIVm//wWgM7857gHH32PH3zp87/wHPQEFJNknpUZibqRk32HCr7wG9RuPi6EVJeT6HUzs+Qp1bmMbs318hvOcIrp5wf5etJ4TonmREo5uwCfei9wLDfeULf485Xm64IHng3ieMthX6+50n7Sv4s6uNnn3R1vWuxPXqfrhe3a/d9/s+NR7fp8af9B7H8T1xHC/rMIQwJjJhK89/cR0NjXX4eYQQ7BdOSXkBH/3wGOm5iafd7r64DSxZ/yW+Hj0ZHDqBguIs4o7u5cOFj1BVU86MKY924lOcPSkZhwAI8OqDRm18mmXvgIHsKM0hOSOGsGDDkde26HQ63l/wMNrmJp69/cu2dyc0cT0hRPcliUY30FhURXNdU+uWqydUHswk/a2WrWNdr48wQWRCiAtZXX0Nb8+5l4bGOm6/4jnuuPLF1pfPuJS9PPPp6X8x8euaT3n2jq+YOvrW1mvrdv/GO3Pv44dV7zNt3N1YaM5sJDe3KJ0bnw/vcL0pI2/ihbvat6YitygNAHdn3zbvcXfyaY2nI5Zv+pboxO3cN/11fD3a/2XIua4nhOi+JNHoBqoP55Nw4w9Y9nbDwtcRhbmK+oxSquNyAXCZ3h/ny/qaOEohxIVm68E/KC7Pw9c9mNuveEHvG+6w4GFcNf4efl3z2Wm1PWbQNL0kA+DiETfw818fk56bSGJ6FP1DRp1J+FhqbE7rBPLw4BHtvre2vhoAC3XbSZGlpmWNWG1dVbvbzS5I5bulr9ErIIIZUx7rsvWEEN2bJBrdgGWwC+63DaFiTxoV+zNorqpHZaPBblQgbtdH4DK9/VOFhBCis8Qk7QRg/JBrjC5injjsutNONEb0u8TodT+PENJzEykqyz2tdv/Nwda53SMTXUnLrk8P06Rt5Nnbv0KlbN9mIOe6nhCi+5NEoxvQeNkT9G7X27JRCHFhKyzNAcDd2c9o+cmmC53KielE/2Vl2XKIaUNj/Wm3fS5ZaqwBqGuoafOe2vqWkQxLC8Pd74xZuvEbYpJ2cvsVz9HDN6zdsZzrekKI7k8SDSGEEGdVW4uClYrT3/hQcQZ126ussphvlrzU4XrhwSO4fMzt7brX4/ip5/nFmW3eU1CSffxe4wnbf22PbDkb6MDhzUQn7tQryyvOAGBH1CqOZSdgaWHNe48tMUk9IUT3J4mGEEKIs8LFoWW3u/zjL5v/lVdk/HpXUVtfxdpdv5xW3fYmGj39Wqa2puUkUN9Qa3TnqSNpkS33+vbvUAzxR/e1WVZUlktRWS7WlvYmryeE6L4k0RBnTebHm8n6ZAs+T4475Rax3VHhskOUbU6m+nAejQVVaCvqUFqrsQpxw3laGO63DEZp5CDF2pQiyrYkUxWTQ1VMDnWpxaDTEfLt9ThfHmqCJxHi9PQLGcXfO39i8/7l3H7FCwbrNDbu+91EkbWPp4s/W+ZUnNU+3Jx8CPEbQFJGNFsOLDdYfB6duIPC0myc7N0J7TG0XW1+/uxfbZbNX/EOC1e+x1Xj72XmzR+btJ4QovuTA/uEOEvyf9hP0R+xQMsp4k6X9cWqjztV0dmkvfwX8dfMQ1vTYFAv74f9pL26hqJlh6g7WgQ63bkOXYhOMW7wVTjauZGRl8RPqz9E96+f5cOp+/lj8/cmjK7ruGnqkwB8u/RVsvKPtl4vrSjks59bym669AmDRG3Zpm+59eVBvDP3vnMXrBBCdICMaAhxlvi/OgXLIGfM7PWnQtTnlJNw4w9URWaR8/UOfJ+eoFdu1dsNrwdHYd3PC5t+Xhx9egUVu9POYeRCdA5LjTUv3f0dL8yawbwVb7Nx3+8E+4ZTUlFATNJOpk98gCXrv8JMZW7qUE1q3OCrmDbublZsmctdr41gUJ9xmKnMiTyyleraCkZHXG70lO3yymIy85JxsnM3QdRCCHFqkmgIcZbYRhjfFUfjZY/3o2NIeXwZZdtSDRIN95sGnYvwhDgnBodO4KsX1rPgz3c5lLybvOIMfN178sTNnzAsfDJL1n+FvY2zqcM0uSdu+ZTwniP4Y9P3xCTtpLlZi59HCJeOvoVp4+4xuj2wEEJ0dZJonEO1KUVkz9pG+e40GguqUKhVmDtaYRXmges1+ofqaavqKfojltJNydQkFtCYVwlKBRaBTjhf1hfP+0aisjT8FnC396sAjMh+nYJFUeQt2EdtciEqGw0OE3vi/+JkzJ2taa5rJPvL7RT9EUd9Tjnmzta4Tu+Hz1PjDdYNpMxcTuGSaHp8chXWoR5kfrKFyn0ZaGsbsOrpisedw3Cb0fGTx2uSC8mZvZOKncdoKKhCaWGGTbgXHncPw+ni3gb3N+RVkDVrO2VbUmjIrUChUGDmZIVliCvOl/bB/ZbBHY7BVBRmLS8NSrXsNy+6vxD/Abzz6CKD6+t2/9pa/l+L3o8z2tbJ1gMAvHDXbKNnX7R1vSuZNOx6Jg27vt333zntRe6c9mKH+jidOqaoJ4ToHiTROEeqE/KJv2ou2qp6LINdsJkcAihoyKugfMtRmuua9BKN6sN5pD63EnMXayx6uGDTz4um0hqqorLJ/GATpesTCf39TpQWxqccpL+9jtw5e7AbHoDD+GAqD2RS+FsU1TE5hK24m4SbfqQmpQi74f5YBDpRsTuN7FnbaSypoccHVxptsyoqi9QXV6H2sMN+TBCNRdVU7Enn6JN/UB2XS+CbU9v9eRStiCVl5nJ0DVose7nhODGExpJqKvalU74jFe+ZY/F75p9v+hvyKzl06bc0FlSh8XHAYVwwSrWKhrxKqiKzqM8sO28SjcaSanK+adkC0vHiXiaORoizq7SikPrGWjz+c5ZG/NF9fLPkfwBcMupmU4QmhBDiLJNE4xzJ/X432qp6/J6fiPejY/TKtNX11CQU6F3T+DjQd9Ht2I0MQPGvIfOm8lqSH/6dss0p5M7dg/fDFxntr3BJDP3WPYhVT9eWemW1xF45h5qEfGKvnIOZnQUDd8/EzM4CgOq4XGIv+46CXyLxeWwMGh8HgzbzfzyAx93DCHj1EhSqlpgqI7NIuPEH8ubtxWFcMI4TQ075WVQfziNl5nIU5ip6zb0Rxwk9W8tqEgtIuOUnsj/biv3IQOxHBbb0/ctBGguqcL9lMIHvXa63L39zfRNVUVmn7PffToz8dITdiABCf7+zw/VK1iVS8tdhdNpmGguqqDiQga6uCdfrB+Bx57AOtyfE+eRoVhxPfzKNQO++eLr4Y2amJrcwjeSMGAAuHnEDYwdNM3GUQgghzgZJNM6RxsKWk10dxvc0KFNZa7AdrH9CrsbLHo2X4X7jZvaWBLwxleiLvqB49eE2Ew3fp8e3JhkAZg6WeNw6mLTX1lCbVEj/TQ+3JhkA1mGeOEzoSem6RCp2p+F63QCDNtUedvi/dHFrkgFgO9AHz3uHk/XpVnK/392uRCP7i23oGrQEvHaJXpIBYNXLjYBXp5B0/2LyFuxtTTT++fyCDQ7/UmrMsBsecMp+/83Y852KZbBLh+sA1BzOo3BJtN41z3uGG52mJkR34+cRwrRxdxOTtJPY5N3U1FdhbWHLwN5juWTUTUwefoOpQxRCCHGWSKJxjthEeFO2KZnU51fh++wE7Ib5o9Sc/OPX6XRU7s+gYk86DbkVNNc1go7W7U7rUovbrOswPtjgmkWAE9AyWvLvJKS1PLBlQWZDfqXRNp0u62s0Zpfp/cn6dCsV+zPQNWlRmLX98qxrbqZsSwooFG2eCWE3IgCAyoP/jFLYDPAhf+F+0t9eD4D9mB6orNRt9nMqwZ9dfdp1O8pn5lh8Zo6luaGJ+qxyilfGkf3VDkrWHKH3jzdjFeJ2zmIR4lxzc/LmiVs+NXUYQgghTEASjXPE68FRVO7NoHxHKgk3/oBCY4Z1Xw/sRvjjck1/rPvob0/YUFhF0j2/UXkgs802tZX1bZapPe0Mrimt1W2WAaiOlzfXNxktt/BzMHpd420PSgW6uiYaS2tRu9q0GVdTaW1r3Af6fdDmfQBNxdWt/+16bT/Kt6VQtDyWxLt/A5USq15u2A33x+XKMGyH+J2kpa5BqTbDMsgZn8fHYhnsStJ9i0h5fDnhf91nMEojhBBCCHG+k0TjHFFZqum76HYqI7Mo25JM5f5MKg9mUhWVRc7XO/F5ejy+T4xrvT/16RVUHsjEdogfPk+OwzrUA5WdBUpzFc0NTewNfPOk/SlOshWiQmm6l1qdtrnlP1RKXK/p1+56CqWSnl9ei/cjF1G6IallpOdAJnnz9pI3by+uN0QQ/PFV7W4vZebyDkbeMnXK+xHjU9U6ymlqH1S2GqoP5VCfWYaFn2OntCuEEEII0VVIonGO2Q70wXZgy/kKzQ1NFC2PJfXZP8n6eAsuV4RhGeyCtqaB0k3JoFLSe+FNBge+1aWVmCJ06jPLjF/PLodmHQoLM8wdLY3ec4K5kxVKC3Oa6xoJfHsqKmtNh2L4P3v3HRXltTVw+DeF3jsCUhRFBQTsvSS2mETTTe9f4k015aaY3nuvdky7UaPGJPZesQIKiAoC0nsdygAz8/2BEkdAQdFB2c9aWSu+57zn7BlxmP2eZt3LA+teDaM/Br2e0o1JJD2xlILfY3CdEoLj6KZTxppz5pqJ1rAf6t9uiYZCoUDtZI2uQktdYaUkGkIIIYS44kiiYUJKczXu0yLI/z2air3pVCXmNSQa5TWgN6BysGiSZAAULjtkgmihaOVhfF8Zj9Lc+MemcHlDPPYDfM+6PgNAoVbhMLIbJeuPUvTP4fM6f6OxLaUSp/FBOE0IonDZISoP57Y60Ria9dZ599seak4UNyRuSgWWfpJkCHElWLDifRb+/SH3Xf9Spzw7Yv3uReyN30ByRhzFZXloqsuwsrDF36sXVw26mSmjHkSt7tynwAvR2chRo5dIbuReqpMLm1yvOVFM1bECAMx9GnaZMnOzReVoha6shoLlxklFyeYksudEXfyAm1GbU076+xsw6PWN1zSxWeTMbojH86EhrWrH55nRKMxUpL2xmsIVcRhOLm4/xWAwUBGTSenW5MZrBUti0cRlN2mrrriKiuiGReMW3o5tfUkXTdWxfAqWH2pYwH9m2ZE8jk1fAgYDzpN6Y+ZiY4IIhRCifa3YMo+Ne5YA0Mu/H6P7T6W7TzBHUg/w9W//5amPJ1GtrTxHK0KIK4mMaFwieb8eIPWVlVj4OWEd5I7KxpzafA0V+9Ix1OpwmRqCXUTDlCqFSonPkyM58c46kp9YSu6CvVh0dUR7ohhNTBbeT44k65vtl/w1eNwzgNyf9lGy/ig2YV7UF1VRvjsNQ70ej/sG4tzKw+dsw7wJ/OpGjj+7gqTH/iD9/Q1Y9XRD7WhFXVElVQm51BVW4vX4iMYRiqLViZTMWI65pz3WwZ6oHSypL6mifE86+qpa7Ab74XxN74v58tukrrCS5CeWkmJtjk1oF8w97TDU6tBmlFKZkAsGA7YR3nT76Pom92riskl9eWXjn6uTGhLR9A83kv3jrsbrof/838V/IUII0UqP3/Y+Pp6B2Fk7Gl3PL87i+c+ncjhlH7+v+ZIHpr5imgCFEJecJBqXiO8LVzUsYo7JpGJ/BjqNFjNXW+yH+ONxZ3+crzX+kuw1fTgWXZ3I/nEn1cfyqT6aj1WQO4Hf3IzbTX1NkmjYRvjgfld/Mj/dTOnW4+hr6rDu5YHHfQNxv6Nfm9pynRqKbZg3OfN3U7YthfKoNADM3G2xDvbE6eqeRielez06DAsfRyoOZFB5KJv6smrUztbYhHbB/bZwXG/s26HOpLAOcqfrC1dRvjedmuRCKg9lY9DpUTtb4zg2EJfrQ3C7ua/RmSSn6Cq0zR5AWJPa8nbGQghhar27DWj2uruzN3df+xzvz3uU/Yc3S6IhRCciicYl4jQ+CKfxrXvif4rLtX2MvmyfrqU1Bmdbe+AwLOCs5V2fG0vX58aeNSbbUC96LbzrrHVa256lvzMBb09uVVv2g/2wH+zXqrodgZmLDT5Pjz6ve8/19yTE5SI9N4lfV35K7NEdFJXlYqa2wN7WmR6+fRk/ZJrRieBVNRVs3PMHu+PWkZp1mKKyXBQKJT7u3Rndfyq3TXgCC/Oma9bGPNywXfeWueWs3vkryzfNJj3nKFaWtgztO5FHbn4LRztXtHU1/LbqMzbu/YO8okyc7N2YMOR27p/ycpN1Ax/Mn87aXb/x4gM/ENg1lMi/PiAuOYoabRX+XXpx41WPcM2Iu9v8fpzIPsqidV8TfWQbRaW5WJhb0dMvnJuvns7w8KafhYWlOfyy8lP2xm+goCQbpVKJg60Lfl2CGNVvCtePfqDNMZiKStnwdcNM3bYNQIQQlzdJNIQQQrS7lMwEnvhwAlU1Ffh69mRY2DWgUFBYks2+hI1oa6uNEo3kjHg++/lpnOzc6OrZgyD/CMo1JSSm7mfen++w6+AqvnxhNRZmls32N+uP1/ljw/eE9RzOoJBxxB/fw6odP3M0LYZvXlrHC1/cyImco4QFjcDbrRsHj+3kl1WfUqop5Pl7v262zcSU/XzxyzO4OnZhQJ+xlJYXEntsBx9FPkZS+kGeuvOTVr8fG/f+wYfzp1NXX4u/V2+Ghk2irKKQuKRdRCdu4d7rXuDBG15trF9Umssj74yiuCwPDxdfBoWMw1xtQUFpNodT9pNblH7ZJBqlFUX8vrbhPR4edo2JoxFCXEqSaAghhGh3S9Z/R1VNBf930xvcNfk5o7KqGg2pWQlG1zxdfPn8ub8JDxqJ8rRzgCqqSnln9oPsjd/A0g0/cOc1zzTb35pdvzH39Z34eTWMHFdUlvDYB+M4nhnP4x+Mw9bagf99GIetdcOmG0nph5j+3hhWbl/I3dc+j6dL00M//9o6j5uvns5j0z5ApWyYmnk4ZR/Pf34DyzbNYlDIOIb0nXjO9+J4Rjwfzp+OWmXOu4//xuDQCY1lqVmJvPjVzfz0z8dE9BpFRK9RAPyzPZLisjyuH/0gz979hdGhnrV1WhJT95+z39OdGvlpi7CeI/jqhVVtvm9X7Gq2Rq9Ar9dRVJZHfPJuautqmDTsLm686tE2tyeEuHxJoiGEEKLdlZTnAzAoZHyTMmtLW4K7Dza65u7sjbuzd5O6dtaOPHXHx9z9Sj+2HvizxUTjwamvNCYZAHY2TkwZ/SDfLXqZE9lHWPDWnsYkA6CHb1+GhE5gZ+wqDh7dgeewO5u06erkxaO3vNOYZAD06TaQW8c/xsK/P2LJ+u9blWj8svJT6upreWLah0ZJBkCAd28eu+193vzxXpZvmt2YaPz7/o0zSjIAzM0sCOs5/Jz9nm5iM6/vXHw9e7b5HoDkzDjW7vrN6Not4x5rdpqaEOLKJomGOKfAL28k8MsbTR2GEOIy0iugP7vj1vH5LzN4aOqr9O05HHOzs8/PNxgMxCXv5tCxnRSUZKGtrcGAAU5ugZ2Zd7zFeweFjGtyzdu9GwAeLr5GSci/5d0BKCzNbbbN0f2nNhvz+CG3s/Dvj4hLjqJeV49a1fKvUr1ez96EDSgUCkYPuKHZOuFBIwBIOL638Vov//7AXGb/8ToAA/qMxcri/LfCfvnBH8/73ra697oXuPe6F6irryWvKJ3N+5bz2+ov2B7zDx89/Qf+Xr0uWSxCCNOSREMIIUS7u33i0xxKiiI6cQvPf3EDZmoLAn1DCe85gvFDptHNJ9iofnFZPq9/fxfxx/e02GZldXmLZW5OTUdDrCxsT5Z5NXvPqS/utXU1zZZ3cW1+AwoPl64oFUpq62oo1xTj7ODeYlzllcWNcd/wTLcW6wGUav49a2nC0DvYf3gTG/Ys4bXv7kSpVBHg3YewHsO4atAthAQOPktLHYOZ2hwfj0Duue6/+HbpyRs/3MP78x5l1qtbmozSCCGuTJJoCCGEaHeWFtZ8/txfHE7Zx974DcQn7ybh+D4SU/bzvzVf8sDUmdx3/UuN9T9Z+ATxx/cQEjiE+6e8TGDXUGytHFCrzairr2X8dNez9nf6uo4zKRSmO5tWp9cBoFSqGD9kWqvvUyqVvPp/87hz8nNEHVxDfPJu4pN3syxjFss2zWLyiHt44f7vWt3eB/Ontzl2X8+e3DX52Tbf15xR/aZgY2XPsRMx5BaeoIubf7u0K4To2CTRMLH8RTEcf/ZP3G4N79TTk069D6cLXfUItmFNn1JWJxeS+dVWynamUl9ShZmbLU5X9cDnmTGYe9i1W0xVx/LJ++UAlXHZaDNKqSupQoECc28HHEZ2w2v6MCy7OjW5T1dVS/GaI2his6g8mEVlQi766jocr+5J759atzXw+Wjr+1K8JpGjD/1udK3PkvtxGBZw0WIUnU+fbgPp020gAHX1tWzYs4RPf3qSyL8+YOzAm/H17EG1tpI9cetQKlV88NTiJge+ZeWnmCByyC1Mb/Z6XlEGeoMeczNL7G2dz9qGg60LFuZWaGurefrOT7G2tG1TDN28+9DNu2Gbc71ez+64tbw752FW7fiZsQNvYmDw1a1q58w1E60R1nNEuyUaCoUCextnKqvLKakokERDiE5CEg3RoVj4O2M/sGH3F7WzdZPysqg0jtz9C/qaOmxCu2A/2I+qw7nk/byfolWJhCx/EKvuZ3/y2VoV+zPInbcbMw87rLq5YDfQF51GS2V8DnmReylYHEvvn+/Cfoi/0X01KUUkP7m0XWJorfN5X8y9HXC7NRyA0i3J1BVoLmnMovMxU5tzzfC7WLXjJ+KSokjJjMfXsweV1eXoDXpsrRybJBkAG3YvvvTBAlsPrODRW97GTG1uHM+ehnhCAoecdX0GgFqlpn/vMew6uJqtB1ZwzfDzf9igVCoZFnYNw8Mns373Io5nxLc60dgyt+VpZ5dCdkEquUUnUCqUeLnJwwwhOgtJNESHYj/Qt8WRHV1VLUmPLUFfU4f/u5Pp8sC/c5TT3l5LzqxdJD3+B6GrH22X+b8OI7sRvvVJrAKNv6Dr63Skv7eenDlRJM9YTkTUDKP+VLYWuN0egW1fL2z6elEVn0PKS/9ccDwtOd/3xTbUq/G9TrhlgSQaol39uXkO/XqPwdezh9H17IJU0rISAfBw7gqAk707dtaOVFSVsmHPYsYNvq2x/p749Sxe/+2lC/w0BSVZzF76Bv+59b3GqVlHUg+wZH3DlKVbrv5Pq9q59/oX2Ru/gW9/fxFzMwuuGniz0b9Fg8HAkdQDaKrLGhOHtbt+I8C7Dz39wo3aKtMUNS4a93DpeqEvsd2kZR8hOeMQI/tNaXLWSUrWYT6c/x8MBgMj+0/B0a59HgYJITo+STTEZSN/UQx1+RrshwUYfZkG8HtlPMVrj1AZl0PppiScrj6/bRlP19y0KAClmQrfV8aT+/M+tBml1KQUGY0WWPo7E/jZDY1/rj5WcMGxnM2lfl+EaI2/t0Xy5a/P4eXmT4B3H6wsbCguyycuOYq6+lquGnQzvbsNAEClVHH3tf/lhyWv8O6ch1m+aTaeLr5kF6SSmHqAuyc/zy+rPr3kr2HK6If4c/Ncdh1cTZB/BKUVRRw8tgOdrp4bxj7MsPDWHT7Xy78fLz80i48jH+ed2Q8ye+mb+HcJws7GiTJNIcnpcZRUFHDHpGcaE41t0X/zwfzpuDp5Na5XKa8s5lBSFDXaSvr2GMbIiOsv5stvk5LyAt6d8zCWFjb09A3D1akLdXW15Balk5xxCIPBQO+A/jx3z5emDlUIcQlJonGG6uQCYkd/i9rFhv4HnkNppmpSx1Cv48DAz6nL1xC28TGse3kAUBGdSdHKBMp3pVGbXUZ9WQ1qZ2vs+nfFa/ow7Pq3/unTudZulO1K5fCtkdgP9Sf4j6anw2qzysietZPSzclos8tQqlVY93LH/c7+uN0Wflnu+FGy5ggArjeFNilTqJS4Tgkh6+ttFK89ctG/UCuUChQKBQZAaWHaf0Yd6X0R4pSHbniVqENrSUzZT3zyHqpqKnCydyes53CuG3U/o/pNNao/beKTeLr6smjt16RlHyE1K5EA79688vAcxg+ZZpJEo3e3AVw36j4WrHifffEb0dbV0M07mKljHubakfe2qa2rB91CL/9+LNv4I/sPb+bgsZ0AODu4E+gbypDQiUbb306b0PB+JCTv4WhaDJqqUhxsXejpG8ak4XcxbvBtHepMigDv3jx0w2scStpFem4Sx07EotPX42DrwuCQ8YwZcCPjh95udCaJEOLKJ4nGGawC3bCN8EETk0nppiScJzbd77t0y3Hq8jXY9PVqTDIAMj7aSFlUGtY93bAN90ZhrqY6pZDiVYcpXnuEnt/dgsv1wU3aa29lO1M5+vDv6MprsPR3xnFMIPrKWiqiMzn+7J+U7Uylx9c3XfQ42ltlfA5AswvEAWzDvY3qXSwGvZ7ML7eir67Duo8n5t4O577pIuoo74sQpxsWdg3Dwlr3xP+U0f2nMrr/1GbLWlpjcLa1BxG9Rp61/IGpM3lg6syzxtTTL5wPnmrdGpFzteft3o0n7/i4VW317TmMvj2HtapuR+Bo58o91/3X1GEIIToYSTSa4T4tHE1MJgVLYptNNAqWxALgdlu40fUu04cR+O3NmLsZ7ypSvO4oxx5ZRMpLf+M4rgcqK+OFhe2pNq+Co48sQldZS/cvbsTt1rDG0QttVhlHHviNwqUHcRgegPu0iFa12dyOUK3R/fMbWt3HudRX1FBfWg2AhY9js3UsTn7h16aXtkufjX2XVpP25pqG/y+rpjIhl9qsMiwDXOjx/S0mHR0y5fsihBBCCHE2kmg0w2VqKKlvrqFk4zHqiqswO233o/rSaorXH0VhrsL1BuOpKk5je5zZFADOE4Jwua4PhcvjKN+ZhtO4izd9JWduFLrSarweG477GYmQhbcD3T+ZQtzk2eQu2NPqJMAywLlxd6K2sAw4+7aPbaGvrG38f5V189MFlNYNCZyuUttu/ULDYutTyeUp1sGeBH5xI9Y93Nq1r7Yy5fsihBBCCHE2kmg0Q21vifPEXhStiKdw+SG6PDSksaxwRRwGbT3Ok/tg5tR0+9W64kpK1h+j6mg+uvIaDPV6AKqO5ANQnVKIExcv0SjZlASAy3XNT9Gy6euF0sa84WyHmjqUluee42s/yA/7Qc2fkNsZWHg5MDTrLaBhxEgTm0XGJ5s4dM0s/N+YaPTzIYQQQgghGkii0QL3aREUrYinYEms0RfJgiUHG8rPGC0AyPt5H2lvrUVfXddiuzrNxX2qrD1RAkDc5NnnrFtXUo1Fl46zmPBslDb/TjfTVdWhtm+6oFBf1fB0X2VjcdHiMPeww3liL+wH+3Fw/A+kvbkG+8F+2IR0uWh9nk1HeV+EuJK8/OCPvPzgj6YOQwghLnuSaLTAYWQ3zLvYUxmXQ2ViHja9PahOLkQTk4mZuy2OYwON6mtis0h5eSUKtRK/1ybgNC4Icy97lFZmKBQK0j/YQNa328HQTgHqm2/IcPK6y5SQc+6GpLRo3e4f5XtPkP9bdNviA9zv7NduIyFqO0tUjlboSqvRZpai7uPZpI42uwwAi66O7dLnWeNxtMJ5YhC5C/ZSvCbRZIlGR3tfhBBCCCFOkUSjBQqlErebw8j6djsFi2OweWMS+UtiAHC9sS8KtfGX9KJVh8FgwPPBwXhNH96kvZq04rb1b97Qvu60Ofin02aVNXvdoos9NWnF+MwYjXWQe5v6bElNanGTNQqtYT/Uv12nXNmGdKFsRwqag1nYNPOFWhOTBYBNSNOyi0HtYgNAXWHlJemvJR3tfRFCCCGEAEk0zsrttnCyvt1O4fI4fF8eR+HSQ0Dz06Yad/7xsm9SVldUSen2423q29yzoZ3q44XNlpdsPNbsdcerepA7fw9F/yS0W6LhPi2i3XaPuhBOE4Mo25FC4bI4PO7ob1Rm0Okp/CseAOdJvS9JPOU7UwGwDHC5JP21pKO9L0Kczeqdv/LRgv8wcdidnXp60qn34XQ/vrqFXv79mtRNz03ip78/IubINsori3G292Bw6ATuu/5FXBzb7wGCTq9je/RfHE2L4UhaNMdOxFJZXY6/V28i397Tbv2ckleUwe64deyN30BS+kGKy/IwU1vg49GdERHXcsu4x7Cxavo7dXvMP7z23Z1G1754fiURvUa2e4xCiAujNHUAHZlVd1fsBnSlrkDDiXfXUZtT3uTsjNPrAhT8cdBodx+dRsvxZ/9EV1bTpr5tw71Q2VpQfTSfwj/jjMpyI/dSvPJws/d5TR+Oys6CrG+2kxu5B0O9rkmdqqP5DSMwlxn3aRGYudtSviuV3EjjX3on3l+PNq0Ym5AuOF7VdPev6MFfEOX9BvmLYlrdX86cqGZHjuorajjx7jrKo9JQ2VrgOjWk7S+mBVHebxDl/QZlu1Jbfc+FvC9CCNPycgtg4rA7mTjsThxsmz60iD26g/97ewQb9izGxcGTERHXYWFuxV9b5/HQW8PIyE1qt1iqaip488f7+N+aL4k5so3K6pbPIGkP78x5iC9+eYbdcWtxtndnZL/rCe4+kOyCVBaseJ8H3xxGTkFak/s8nH0a3zMn+/Z5oCaEuDhkROMc3G4Lp2J/Brnz9jT+uTnu0yLImbubyrgcood+hf0gXwwGAxW7T6AwV+F2ewQFv7f+S67KyhyfZ0Zz4p11JD2xlNzIvZi52VJ1JA9tRilejw0n+/udTe6z8HYgaN4dHHtkEamvrCLz6+1Y93TDzNWG+rIaqo7kU5tdhsuUEFwm9zmv98RUVDYW9Pj+Vo7c/Qupr6wif1EslgHOVB3OozqpALWzNT2+a/5ci1NrVxTNnPTekpy5u0l7ay1WPd2w6u6CwlxNbW45VQm56Cq0qGwt6PH9LY2jT6c78tD/qMvTAA07kQFU7E8n7ro5jXV8Zow22urYoNc3/n9b4ryQ90UIYVqhPYa2OLJTra3k7dkPoK2t5qk7P+Gmqx5tLPt+8SssXvcN78x+iFmvbW2Xf99qlRnjh0yjp184Qf79qKwu4+Wvb7vgdlvi5ujF49M+YMLQ242SrNKKQt788T5ij27nwwX/4asXVhvd19MvvPE9e/rjyZSU51+0GIUQF0YSjXNwmRJC2utr0NfUNXt2xilqRyv6rn6E9I83UbY9hZKNxzBzscF5cm+6Pn8Veb/sb3PfXtOHo3a0ImfeHjSHslFaqrHr35XAr29CX13XbKIB4DA8gLDNj5M7fw8lG5OoiM7EUK/H3M0WSz8nPO8b2OL2tx2dw1B/+q6dTuaXWyjbkUrVkTzMXG3xuHsAPs+OwdzDrsk9dUWV1OaUo3axwXlCUKv76vrS1ZRtSUZzKJvyXWnUV2hR2Zpj2d0Vx1Hd8bxvYLNJBkBVfC7azFKja7qyGjQxmUZxna4yruHkbqsgd+z6+bQ6Tji/90UI0bGt3vkLxWV5RPQaZZRkADx6y9vsiPmHY+mx7Ilbx5C+Ey+4PysLG155+N+HITFHtl9wm2fzxvTIZq872rky86HZ3PZCbw4e20l+cSbuzm37TBRCdAySaJyD2s6SwcdfbVVdM1dbun88pdmyrs+NpetzY5tcP9f6B/fb++F+e9M5u0Dj2Q7NMXe3w/elcfi+NO4cUV9+rAJd6fHtLa2uX7Y9BQwGfJ4ehcq29Vu8ut3YF7cb+55PiPTb80yb7ynb1rCOx/elq1Go2j6rsa3vixAAJ3KOcd9rA3C0c+WPT46iVjfd8rpeV89tL/SmuCyP+W/tppt3w2jo4ZR9bD2wgpgj2ykozqSiqhQHWxeCAwczbcKTBHcf1Oo4zrV2I+bIdp759FrCeo7gqxdWNSnPL85k0dqv2Ru/gbziTNQqM7p59+HaUfczadidl+WI3o6YlQCMG9x0VEGlVHHVoJv5ZeWn7Ihd2S6JRkfi7uyNg60LZZoiCkqyJNEQ4jIlazREh1K+L53kGctJnrGcmoySdmmzdNtxLHyd8LhnQLu0d7GUbkvBbqAvzhN6XZL+NHHZje91dXLzmw6IK59fl5707jaA0opCdseta7bOvoQNFJfl0dMvojHJAJi7/B2WrP8Ona6OXgH9GRY+GXtbZ7YdWMGTH01ky/7ll+Q1xBzZxgNvDGXpxh/RG/QMChlH74ABHM9M4KMF/+GD+Y+eu5EOKDm94dym5haIN1xv2Pwh6WS9K0lpRREVVaUAODvIjnlCXK5kREN0KNq0YgpObgXs+cAg6Op0wW0Gfn7DBbdxKQQvuf+S9lebVXZe2xaLK881w+8mMWU/a3f9xoiIa5uUr931PwAmDTfe6WfaxCd59eG5ODsYL8jdFbua13+4m89/nsGQ0IlYWlhftNiLSnN5/fu7qdZqeOmBH5h42uhFfnEmM7+5nXVRvxPRazTXDL+rVW02tyNUa7z4wA+t7uNcKqvLKa9seNji4dK12ToeLg1P+XMKT7RLnx3JorVfo9fr6OkbThfX9tsmXQhxaUmiITqEjrKFbmfiPKn3Waffic7jqoE38+3vL7E7bi1lmiKjhbkVlSXsjF2FmdqccYNuNbpvcMj4ZtsbFn4NYwbcwIY9S4g5uo2hfSddtNj/2PA9FVWl3DFpBpPO+JLv7uzD8/d9zfR3x7B846xWJwHe7t2YOOzOc1ds5r72Uq39dw2XpYVNs3WsTl6vrtG0W78dwf7Dm1m07muUCiWPTXvf1OEIIS6AJBpCCNHJ2Vo7MCLiWjbtXcqG3Yu5edy/T/M37V1KXb2WUf2nYm/r3OTe0ooiog6tITXrMJqqMnT6egBSsxIByMxNhvNb6tQqp6Z7jR5wQ7PlQX4RWFnYkpxxCG1dDRZmludss2+PofTtMbQ9wxStlJKZwJs/3oder+OhG14jPGiEqUMSQlwASTSEEEJwzfC72bR3KWt3/c8o0VgT9RsAk5p5wv/X1vl8v2gmNbVVLbZbWVPR/sGe5tQ5C9PfHXPOuuWaYtycvC5qPO3F6rRRjBptJbbWDk3qnBr1sLK0vWRxXUwnco7x3GdT0FSVctuEJ7nnuv+aOiQhxAWSREMIIQT9e4/FzcmbY+mxpGQm0M0nmPTcJBJT9uPs4MGgM6ZJHUk9wBe/PINKqWb6re8yLOwa3Jy8sDS3RqFQMGfZW/y66jMMBkO7xGcw6Ju9rtM3HEo6duBNmJ9jtMJM3bpd5w4lRbFy+8K2BQhcO/K+dhsJsbGyx87akYqqUvKKMppNNPKLswDwdLn81zBk5Cbx7KfXUVJRwA1j/4/HbnvP1CEJIdqBJBrtIOGWBZRHpdFnyf04DAswdTjiIslfFMPxZ//E7dZwAr+88ZL3n/HZZjI/34LPs2Oa3SpZiAuhVCqZMPR2fl31GWt2/spj095nzc5fgYbtVdUq418XWw/8hcFg4Karp3P7xKeatJeVn9Km/s1Obqt7+tqE0+UVZTR73d3Zm6z8FO697kUCvHu3qc+WZOWnsHbXb22+LzxoZLtOuerhF0504haOpEXTvWtIk/LE1IbzmXr4XsS5aZdAZl4yz3x6HUVluVw36n6evvNTU4ckhGgnkmgIIYQAGqZH/brqM9bvWcz/3fwm63cvarjezCLqiqqGHZHcnb2blJVWFLL/8OY29e3q2DClKT3nWLPlLW29OzhkPMs2zWLL/uXtlmhcM/yudts96kKMCJ9MdOIWNuxZzLUj7zUq0+l1bNq7FICREdeZIrx2kZWfwoxPr6OwNIdrht/Nc/d8dVmeeSKEaJ6coyFEKzlf05vwrU/g+/KVdwiiEABdPXsQ0n0wJeX5/LjkVQpKspqcnXGKr2dPANbt+p2q03Y9qqqp4KMFj6E5eQZCa/Xy74e1pR1p2Yls3LPEqOzPzXPYeuDPZu+7fdLT2FjZ8+uqz1i+aTb1uvomdVKzEtl24K82xdMRTBp+N84OHsQc2cbyTbONymYvfYPsglR6+IYxOHRCk3unvRjCmIftWX1yVOpiO5/+cgrSeObT6ygsyWbisDv5733fSpIhxBVGRjSEaCW1vSVq+3PvWCPE5WzS8LuIP76HpRt/PPnn5rd5vWb4Xfyx4XuOpcdy58t9CQ0cigEDh47tRK02Z/KIe1i14+dW92tpYc2917/Ij0te5d25D7N88xycHTxIzUwgp/AEd0yawf/WfNnkPndnH959/Dfe+OEevvrteX5Z+Sn+Xr1xsndFU1VGStZh8oszGTvwJkb1n3Je74mpWFva8vojC3jxq5v56rfnWb3zV3w8unE8I54TOUdxsHXhtUfmN/vl/NSaljOnvJ3LF788w7GTBwBWVTcs5M8pTOM/71/VWOfaEfdx3aj7Lri/13+4h/ziTMzUFhgMej6KfKzZende8yx+XXq26XUIIToGSTRaoKuqJe+nfRStPEx1ciH62nrM3e2wCe2C+7QInK4+94deXVElhcsPUbI5mZrjhdTma1Caq7AKdMPtlr543DMQharpoFJFTCbZP+yk4kAG9YWVKK3MULvYYBvujccd/XAY8e9e7fqaOnLm7qbo7wSqU4ow1OtQO1ph4eOIw4hu+Dw9CqWlWbu+N+cr7ro5aGIyCZp/B84Tmz/9Ou3tteTM2kWXR4fh//pEo7LSLcnkRu5FE5NJfVkNaicr7If64/3kKGx6exjVrckoIWbIl1j4OBKx8yly5u6m4I+D1KQVozBTMSjxZQCqkwvJ+mYbZVFp1OVrUJirMHOyxjrEE7ebwnC59t8nuedao6HNKiNnThSlW5LRZpaiUCkx97TDflgAnvcNxLqXcYxVR/PJ+m4H5btSqSuqRGVjgW2EN54PDMbpqh5tfn9LNhwjN3IPmthsdBotZq42OAwPwOuJkVj3cGtSP3rwF2gzS4nYPYOqhFxy5u6m8nAuurIa+q6djk1IlzbHIC5/YwfexDe/v4i2trrZszNOsbNxYtarW5n/57vsP7yZ3XFrcbRzY2S/KTw49RX+2jq/zX3fPvEp7G2cWLrxR46mxWBhbkVwt4HMfGg2NbXVzSYaABG9RrHg7b0s3ziLqLi1HE7ZR72uDmcHD7q4+jN1zMOMaWH7244uPGgEc17fwU9/f8iBxK2kZiXgZO/O9aMf5P7rX8LFsemp2aUVhRSUZOFo58rw8Mlt6i8t+yiJKfuNrmlrq42uDQo2HtU93/5OHUhYV69lXdTvLdabNOwuSTSEuExJotEMbWYph+/8mZrjhShtzLEf5IvKzpLa7DJKNydTX1zVqkSjdEsyaW+swbyLPZYBLtj286EuX0NFdCaaVzIp3ZZC0LzbjZ5GlW47zpF7f8VQp8MmpAv2A3zR1+uozSmneOVh1LYWjYmGQa8n8d5fKd+ZisreEvshfqjsLakr0FBzvIisr7fh+cAgzDtIouF2WziamEzyF8c0m2gYdHoKlx8CwP22cKOy1NdXkTtvDwq1Epswb+y72FOTVkzRiniK1x4haPa0Zv9ODAYDR/9vEaVbkrEf7IdVTzdqs8oAqEzMI+GGeeg0WqwCXbEd3xNQUJtbTtmW4+hr6o0SjbMp3ZrMsUcXo6vQYuZph+OYQFAo0KaXkPfLfsxcbYwSjeJ1Rzg2fQkGbT1WQe7YDfajNqec0i3JlG5KwvvpUfi+cHUr31k48cF6sr/dAUoFdoN8Mfe0pyoxj4I/DlL4TwJBs6bhNK75n9mcWbvIXbAX2whvHMf2oDa7DJQyfaGzsrGyZ+33ea2q62TvxnP3ftVs2QNTZ/LA1JlNrp9r/cPkEfcwecQ9zZZtmVve4n0uDh48fNPrPHzT6+eI+vLj69mDV/9vXqvrHzi8GYPBwD3X/hdrS7s29fXVC6vaGt5597foo/g29yWEuLxIonEGg17P0Yd+p+Z4IU4TexH4+Q2oHa0ay3UaLZqYrFa1ZdPXi5C//w+7fj5G12vzKki85xdK1h6h6K8EXKf+u5tI1jfbMdTp6PHdLbjeEGp0X11xFdrM0sY/V+xNp3xnKjahXQhe9iAqa/N/X4fBQMX+DFR2rdvOEf7dPautWnu6tOvUENLeWkPpxiTqiisxczY+7bZ0SzJ1+Rps+noZfSnP/WkfufP2YBXkTtDs27AK/PfpfPGaRI49upikJ5fSb9cMo78roDGpCNv0OFYBLkZlOXOi0Gm0+L50Nd5PjjIq01VqqUrMb9Xr0maVcuyRxeg0Wrr+9yq8nxiBQq0yKq8r+vecgdr8CpKfWoZBW4/f6xPxenRYY1nZrlSO3PsrWV9tw36QX0PCcg4lG4+R/e0OlNbm9P75LuyH+DeWZf2wg/R315P05FIitj+JmWvT/fbzft5Pr4V3tZiICCEunrikKD6YPx2A+6e8TBfXC9+qdv/hzXRx9WfKmIcuuK2O2N+xE7GNU/vSc5vfPEAI0TFIonGGknVHqYzPwaKrIz2+uwWVlfFogMrWAoeR3Vq421hz01UAzD3s8Ht1Aol3/ETRSuNEo66wYVGl49imXzDNnK0xc7b+t25BwzaQdoP8jJIMAIVCgf1A31bFeYrjmEAsfBzbdE9bqB2scJ7Yi6IV8RQuj6PLQ0OMygsWxwINIx+nGHR6Mr/cCkDPH281SjIAnCf1xv3uAeRF7qVg2UG6PGjcJoDvy+OaJBkAdQWn3uum05RUNhbYDejaqteVPashYXGZEoLPjNFNyi28HbHwdmz8c/6vB9BVaLEb6GuUZAA4DAvA88HBZH+3g+wfd7Yq0cietQuALg8NNkoyALz/M4LiVYloojPJ+/UAPk83jc9tWoQkGUKYSHZBKtkFqQDceNUj7ZJovPjA9xfcRkfuL68487y2HxZCXHqSaJyhdHMyAK439m2SZJwPQ72Osp2pVBzIoC5fg15bD4aGJ+YANSlFRvVtw72pPlZA0hNL8X5qFHb9fJpdxwFgE9oFVEryf4/GqpsLztf2wdzt/E+I9X5i5Hnf21rut0VQtCKegsWxRolGfWk1xeuPojBXGY3kVCbkUpdXgVWQO9Y93Ztt02GIP3mRe6k4kEmXB5uWO09qfstL2whvSjclkfLSP3R94SrsB/uhtGj7P4nSLQ0/M+539GtV/fLdJwBwuzWs2XL3aRFkf7eD8n3pGHT6Fv/+oeHnq2J/w/kCbrdFtNieJjqzYbSqmUTD+Zr22RJUCNF6HWUL3cvRyIjrzjqNTgjRcUiicQZtVikAVoGuF9xW9fFCjj70O9VJBS3W0Wm0Rn/2fXkcVYfzKN2UROmmJJRWZtiEeeEwPAC3m8Ow9HNurGvp74z/mxM58c46Ul9ZSeorK7Hwc8Kuf1ecJ/bC+ZreZ/2SagoOo7ph3sWeyvgcKhPzGhdxF/4Vj0Fbj/PkPpg5/Ttqoz3RsFiw+mg+Ud5vnLXt+qKmB32Zudq0mDB6/Wc4FXvSKduRQuIdP6GwUGPTxxP7oX643hTWZIF5S9r6M1Ob2/AL0qKrU7PlFl0dQanAUFNPfUlVs9OdTqkrqcagrQelAgufpicHA1j4Op3st6L58os4iiWEEEKIzksSjTO14x7exx5dTHVSAU4TgvB6bARWga6o7S1RqJRUHy8kdtQ3YDC+x9zdjtDVj1C+K43S7cep2JeBJiaLit0nyPpqG90+uh732/99ct7lwSG4XBdM8ZojVOxLp2JvOoXLDlG47BDWwZ4EL30AtV3rtmTN+nY71cmFbX6dbTklW6FU4nZzGFnfbqdgcQw2b0wCoGBJLNB0EbhB37Blormn/TmnrDX3Rf9sO26prMzps+g+KqIzKd2SRMW+DCoOZKCJyST7+534PD+Wrs+MOfdrQnHmX2OrtPt+8efZntJSPgaEEEII0f7kG8YZLLwangpXH2/7F+7TVScXUJWYh5mrDUFzb28yslCTVtzivQqlEocR3Rp3l9JV1ZK7YA/p728g5ZWVOF/bxyh5MHe3w/PegXjeOxBomG6U/PQyqhJyyf52R6sPmCvdknxei8HbkmhAwxqMrG+3U7g8Dr9XxlOTVoImOhMzd9sma1PMT/59mHnYtrmf1rLr59O4YF9fW0/h8jhSXviLzM+24Hp9yDlHKsy9Hag5XkjN8aLGn5+z1ve0pzq5kJr0YhxomjxpM0pBb0BhqW6yuP1MZk5WKCzUGLT1aDNKserWdC2KNr3kZL9t231GCCGEEOJCdKx5NR2Aw8nFt4XLDqGvqTvvdupLqgEw87BrdvrSqW1cW0NlbY734yMx72KPoaaemuNFZ61vE+yJ50ODAag8nNvqfoL/eIChWW+1+b+2suruit2ArtQVaCjdnNw4muF6Y1+j3ZqgYc2K2smayvhcqlPP/rrbg9Jcjfu0CGz7+YDBQFXiubf5dBzTHYC8/x1oVR/2QxoWexb8cbDZ8vzFMQ31Bvo2eT/OpFCrGhetF/wR20J7Ddfth/q3Kj4hzuXpjycz5mF7Yo5sN3UoV6QFK95nzMP2LFjx/mXbZ8yR7Yx52J6nP27bOR5CiCuLJBpncJ4YhHWwJ9qMUpKeXEp9eY1RuU6jpWx7yjnbsezmAkoF1UfzKd+dZlSWvyiGwj+b3z88+8edaE9uyXo6zcEsavM1oFRg7mUPQNmOFEo2HsNQrzOqa9DpKd2UBHTc+fendpbKXxRDwdKGL9xnTpsCUJqp8JkxCnQN2w5XxGQ2qaOvrad43RGqk1teC9Oc3Mi9zU4VqzlRTNWxhrbMW1j3cDqvR4ahtDGnaEU8Wd9sw6DTG5Vrs8rQHMpu/LP7Xf1R2VpQsTednHm7jeqW704jd/5eALqcsSPV2foHyJm7m/J96UZl2bN2oTmQgcreEvc7+7eqPSGEEEKI9iBTp86gUCoJmns7iXf8RPGqRMq2pWA3yBeVnQW12eVUJuRiG+Z1zvUCZi42eN43kNwFe0m4NRL7If6YudtSdSSP6iP5eD8xkqxvmz4NzPxqGyfeWYdVDzeseriiMFdTm13WsLOQ3oDXEyMwd2+YAlOVmEfam2tQ2VtiE9IFcw9bdNV1aGKyqMurwMzdFu/HR1yU9+lCuUwJIe31NRSvTgRocnbG6bo8PBRtZsOp2/HXzcG6tweW/s4ozFTU5pZTGZ+LvqqWXr/c3WT727PJ+/VA4wJ66yB3VDbm1OZrqNiXjqFWh8vUEOwifM7ZjoWPIz1/vI1j0xeT/uFGciP3YdvPG1CgzSihMiEXnxmjse3rBTRMdQv8+iaO/WcJaa+vJv9/0VgFuVOXV0H5nhOgN+D99Cicmtl2tzlO43ri9fgIsr/bQcJN87Ef7IeZh13jz5rCUk2Pr2+6oB3JhBCXzo1XPcpVg27BwbbpVMjLpc/eAf1Z+M5+LM3PPv1TCHFlk0SjGZa+TvRdO52c+XsoXnW44cufzoCZuy1O43riPq35bUTP5P/2NVj39iDvp/1oYrNQmCmxDfXC75cJWAW6NptoBLx3LWXbjqM5lE3ZrjT0NXWYu9vhND4Iz/sG4jj63zUMTuODqC+voXz3CWrSiqk4kIHK2hwLbwc87hmA570DMXOxadJHR6C2s8R5cm8KlzVMIXNrZjTjdP5vTsJ5Ui9yf9pHxb4MSjYeQ2lphvnJvxOnCUHYD27b/vO+L1xFyYZjVMRkUrE/A51Gi5mrLfZD/PG4sz/O17Z+21enq3oQtuExsmftomxLMiUbk1CaqzDvYo/HvQNxuT7YqL7zxF70XfUIWd/toGxXKtUrD6OyMcdxdHc8HxjcqpPnT+c3czz2A33JidxLZWwWuv0ZmLnY4HpzGN5PjGhxa2AhRMfjaOeCo92lSzIuRp+WFtb4dZHzeYTo7BQGg+F8Nsy57ERHR9O/f39C1zyKbaiXqcMR4rKmicsmbtIsDhw4QL9+rTs/pCM59Xkw+7Vt9PQLN3U4HUK1tpIVW+ax7cAKTuQco65ei4uDJz39wrlm+F0M6Tuxse7TH0/m4LEdfPH8SiJ6/Xv+TmlFIRv2LGZP3Hoy8pIpKs3F3MwC3y49mTDkdqaMeQiVsum6o8SU/fy+9msSju+hpKIAS3NrHGxd6B3Qn2tH3ke/3v+e/6Ktq+GP9d+zZf9yMvKS0enqsLNxwtPFl369R3PPdS9gYda6nfYutv+8fxWJKft59/H/MSLi2mbrfL/4FRav+4bbJjzJY7e9BzSsl1j494fcd/1LPDB1ZmPd1Tt/5aMF/2HisDt57Lb3WPjXh+w6tIbCkmwGh07gvSf+B0BVjYZfVn7K5n3LKCzNxtHOjeHhk3lw6it8t3gma3f9xosP/GB0jkdr+nz6zk9Y+PdHbD2wgqLSHBxsXRgWNpmHb3wNe9t/t16HhjUaz3x6LWE9R/DVC6uavO4yTRFLN/zAroNryC5IRa/X4eLoSUjgEK4f9QAhgYMb6x5O2cfWAyuIObKdguJMKqpKcbB1IThwMNMmPElw90Hn8bdz5Tp2IpZH3hl12X4+iyuLjGgIIUQnl1uUzn+/uJGM3CSsLGwJ7TEEGyt7Coqz2BO/ntKKQqNEoyV74zfw7e8v4ebkjY9Hd/p0G0BxWT4Jx/eSmLKf/Yc38+7jvxlt7bw/YRMvfX0r9bo6eviGERI4hHpdHQUlWWw9sAJrK/vGREOv1/PyV7cSfWQrNlYOhPccjo2VPSXlBaTnJfHLyk+58apHsXDoGInGpGF3kZiynzW7fm020dDpdWzYs7ihbhsO7yvTFDH93bFUVpcR2mMYQX4RjV/0q2oqmPHxtRxLj8XGyp5BIeNRKVVs2reUfQkb8fc6vwM6K6vLeeKDCRSWZtO353ACvHoTl7ybv7bO40jqAb6fuRG1unWH3CalH+Slr26lqCwXexsnwoNGYG5mSV5ROpv2/gFglGjMXf4OsUe3E+DVm14B/TEzsyAjN4ltB1awI+YfXn9kPmMGXJxdCYUQF0YSDSGE6MT0ej2vfXcXGblJDA+/lpce+B47m38Pk6yqqSAxtXU7qgX5RfD9zI306TbQ6HpRaS4vfnULO2NXsnnfMq4adHNj2a+rP6deV8dr/zePqwffanRfmaaI3MJ/NziIS44i+shWevqG89WLq7Gy+HdqqMFgID55DzaWrd/G+dTITFu19lTqqwbdzHeLXmb3obWUVhQ1mZq0L34DxWV59PSLoJt3n1b3v/vQWgYGX8Vb//kZ6zNe77w/3+VYeiw9fcP5+JnljX1WVpfzyrd3sDN2Zav7Od2OmH8YEjqBb19ej7Vlw3qvwtIcHnv/ao6lx7J5/zLGD5l2znaqajTM/OZ2ispymTL6IR6f9j4Wp63jKK0oJD03yeieaROf5NWH5+LsYDwFdFfsal7/4W4+/3kGQ0InYmlhjRCiY5FEQwghOrGdB1eRlH4QT1c/Xn9kvtGXPgBrSzv69x7Tqrb8vIKave7i6Mn0W97m+S9uYOuBFUaJRkl5PgCDQsc3uc/B1sVocfKpuqE9hxolGdBwAGZojyGtivOUQSHj8HT1bdM9bWFn7ciIiGvZtHcpG/cs5uZx/zEqX7PrNwAmDb+zTe2qVWY8e89XTZKMGm0VK7f/BMATd3xklNjYWNkz467PeOCNwZzPjGkrC1v+e/93jUkGgKtjF24c+wizlr5OdOLWViUaK7cvpKAki+Dug3jm7s+bHFzqaOeKo53x2UWDQ5r+bAAMC7+GMQNuYMOeJcQc3cbQvpPa/LqEEBeXJBpCCNGJ7Y3fAMC4wbc2STLOR72unpgjW0k4vpfisnxq62owYKC6RgNAZl6yUf1e/v1Jyz7Cu7Mf4u5r/0uf7gObXccB0MM3DKVSxartP9PVI5BR/aY2ecrdFndNfva8722tScPuYtPepazZ9ZtRolFRWcLO2FWYqc0ZN+jWs7TQVA+/MLq4Nt384tiJWGq0lbg7+9C3x9Am5f5evejuE0pyRuvPcTqlp184Lg5Ndwb0Pbngu7A0p1XtnPp5u2b4PU2SjLMprSgi6tAaUrMOo6kqQ6evByA1q2HnwszcZOjb6uaEEJeIJBpCCNGJ5RU1TE3y9bzwHYIycpN49bs7OZFztMU6lTUVRn/+v5vf5HhmPHvi17Mnfj2W5tYE+UcQ0WsUE4bejpdbQGNdb/duPDHtA35Y8ipf/vocX/76HF5u/gR3H8zw8GsZ2e/6FpMUUxnQ5yrcnLxJSj9ISmYC3XwadqDbtG8ZdfVaRvWf2mQh9bl4Ojc/ClNQ2nBej4dL1xbv9XDpel6JhodL81t9nxpVqa3TtqqdvKIM4N8EpTX+2jqf7xfNpKa2qsU6Z/5cCSE6Bkk0hBCiE1PQ+qfK5/LGD/dyIucow8Mnc/vEGfh16YmNtQMqpYqM3CTuebV/k2k7Lg4ezHp1K7FHt7P/8Gbik3dzOGU/B4/t5OeVn/DcPV8xecQ9jfVvuno6owfcyI6Yf4hLiiIueTfrdy9i/e5FBHbty1cvrMLGyr5V8f666nPSc4+1+XW+/OCPra6rVCqZMPR2fl31GWt2/spj0xpO3l57atrUsLZNmwIwNz/7Yvez/Z0qFed3Tq/iPO9r2k7bft6OpB7gi1+eQaVUM/3WdxkWdg1uTl5YmlujUCiYs+wtfl312XlNBxNCXHySaAghRCfmfvLpd0Ze0jlqnt2JnGOkZCXgZOfG24/92mRkISs/pcV7lUol/XqPbtxdqlpbyfJNs5m99A2+/PU5RvefapQ8uDh4MHXMQ0wd8xAAyRlxvD/3EZIzDvHb6i/4v5veaFXMe+M3nNdi8LYkGtCQTPy66jPW71nMI7e8TXZBKodT9uHs4MGgFtYfnA9Xxy7Av6MGzcktSm+x7FJwd/bhRM5RMnKTmp3edaatB/7CYDBw09XTuX3iU03Kz/ZzJYQwPUk0hBCiExsUfDV/b53P+t2Lufva/573GRQVlSUAuDh2aXb60qltXFvDysKGO695huWbZlNQkkVGbhK9Avq3WD+wayg3j/sPnyx8guMZca3up7nzHS6Grp49COk+mPjje9gbv56E43sBGDf4NtSq9vs1HOQXgaW5NXnFGSQc30Nw98FG5SdyjrXp/bkYBgVfzb6Ejaze8TOTR5x7nUZFVcPPlbuzd5Oy0opC9h/efFHiFEK0j/YZCxVCCHFZGh5+LYFd+5JbeIL35jyMpqrMqLyqpoIDiVvO2Y6PR3eUCiWp2Yc5eGynUdnqHb+w8eT5CGf6fe3X5BdnNrl+JC2aorJclAolbs4N6wOiE7ey+9Ba6nX1RnV1eh174tYBZ1+fYEqnzslYveMX1kX9bnStvVhaWHPNiLsB+Pp/L1CmKWosq6qp4Ktfn0Nv0Ldrn2117aj7cHXsQvzxPXz12/No62qMyksrCjmUFNX451Nrh9bt+p2qkxsKQMPr+WjBY2iqSi9J3EKI8yMjGkII0YkplUreeewXnv/iBrZF/8X+w5sJDRyCjbU9+cVZJGfEEeQXcc4tbh3tXJk69mGWb5rNM59cS1jQCJzt3UnJOkxq1mHumvwcv676rMl9P//zCT8ueRW/LkH4dQnCTG1OfkkWCcl70Bv03HnNs427HR3PjOe7RS9jY+VAT78wXBw8qKmtJjFlP0VluTg7eHDHNc9cjLfpgo0deBPf/P4i22P+Bmjz2Rmt9fCNrxOXtJujaTHc+XI4Eb1GolSqOHh0BzZW9gwPn3xyt6vWHa7X3qwt7Xj3if/x8le38ufmOWzat5TQwCGYqy3JLU4nOf0QVw26pXFa1TXD7+KPDd9zLD2WO1/uS2jgUAwYOHRsJ2q1OZNH3MOqHT+b5LUIIc5NEg0hhOjkurj5M+f17SzbOIttB/7iUFIUeoMOZ3sPhvadyDXD725VO0/e/jHdfUJYsWUeiakHUKvM6OkXzvRb38HXs2ezicaMuz5l/+HNHE2LIebINrR1Nbg4eDI07BpuGPswA4Ovbqw7LOwaNFVlHEraRVZ+CvHJe7CytMHDuStTxjzI1DEPNzmDoaOwsbJnZMT1p50E3vZF4K3t5+sXV/PzP5+wef9y9sStw8HOldH9b+DBG17l7dkPABidT3Kp9fLvx/y3drNk/XfsOria/Yc3o1AocXX05OpBt3L96Aca69rZODHr1a3M//Nd9h/ezO64tTjauTGy3xQenPoKf22db7LXIYQ4N4Whk2zVEB0dTf/+/Qn85masenTMX0RCXC6qkwpJfnIpBw4coF+/fqYOp81OfR7Mfm0bPf3CTR2OEJeEpqqMO1/uS0VVKcs/P95hkzJxYY6diOWRd0Zdtp/P4srSaUY0XF1dsbS2IvnJpaYORYgrgqW1Fa6u8kVFiI7maFrMycMN/12GWaYp4tOFT1FeWcLQvpMkyRBCXBKdJtHw9fXlaOIRCgsLTR2KEFcEV1dXfH2bPzhMCGE6r3x3BzpdPQHefXC0c6GoNI/kjENUVpfj5uTN03d9auoQhRCdRKdJNKAh2ZAvRkIIIa5k08Y/wY7YVaRlJ1JRWYJKqcbT1Y8pox9i2sQnZTRDCHHJdKpEQwghhLjS3TrhCW6d8ISpwxBCCDlHQwghhBBCCNH+JNEQQgghhBBCtDtJNIQQQgghhBDtThINIYQQQgghRLuTREMIIYQQQgjR7iTREEIIIYQQQrQ7STSEEEIIIYQQ7U7O0RBCdFonco6aOgQhhGhX8rkmOhKFwWAwmDoIIYS4lNLT0+ndqzdV1VWmDkUIIdqdtZU1iUcS8fX1NXUoopOTREMI0Smlp6dTWFho6jBEG9TX1/Pggw+i0Wj47bffsLS0NHVIV6SamhruuOMO7O3tmT9/PiqVytQhiTZydXWVJEN0CDJ1SgjRKfn6+sov4svMRx99RGJiIjt37mTIkCGmDueK9vvvvzNixAg2b97MCy+8YOpwhBCXKRnREEII0eElJCTQr18/ZsyYwUcffWTqcDqFF154ga+++oqYmBj69Olj6nCEEJchSTSEEEJ0aHV1dQwdOpSqqiqio6NlytQlUlNTQ0REBLa2tkRFRaFWyyQIIUTbyPa2QgghOrSPP/6Y2NhYFi5cKEnGJWRpacnChQuJjo7m448/NnU4QojLkIxoCCGE6LDi4uLo378/zz//PO+//76pw+mUXn75ZT777DMOHDhAaGioqcMRQlxGJNEQQgjRIdXV1TF48GBqa2s5cOAAFhYWpg6pU9JqtfTv3x8LCwt2796NmZmZqUMSQlwmZOqUEEKIDumDDz7g0KFDLFy4UJIME7KwsCAyMpKDBw/y4YcfmjocIcRlRBINIYQQHU5sbCzvvPMOM2fOpH///qYOp9MbMGAAL7/8Mm+//TaxsbGmDkcIcZmQqVNCCCE6lNraWgYOHAjAvn37MDc3N3FEAhr+XgYMGIBSqWTv3r3y9yKEOCcZ0RBCCNGhvPfeexw+fJjIyEj5MtuBmJubExkZSUJCgizMF0K0iiQaQgghOozo6Gjee+89Xn31VSIiIkwdjjhDv379eOWVV3jvvfeIjo42dThCiA5Opk4JIYToELRaLQMGDECtVrN3717Z3aiDqq2tZfDgweh0Ovbt2ycL9YUQLZIRDSGEEB3C22+/zdGjR1m4cKEkGR3YqSlUR44c4Z133jF1OEKIDkwSDSGEECa3b98+PvroI15//XX69u1r6nDEOYSFhfHaa6/x4Ycfsn//flOHI4TooGTqlBBCCJOqqamhf//+WFlZERUVJaMZl4m6ujqGDBlCTU0N0dHRMoVKCNGEjGgIIYQwqTfffJPk5GQiIyMlybiMmJmZsXDhQpKSknjzzTdNHY4QogOSREMIIYTJ7N69m08++YS33nqLkJAQU4cj2igkJIS33nqLjz/+mD179pg6HCFEByNTp4QQQphEdXU1ERERODg4sHPnTtRqtalDEuehvr6eYcOGUVFRQUxMDJaWlqYOSQjRQciIhhBCCJN4/fXXSUtLY8GCBZJkXMbUajWRkZGkpKTw+uuvmzocIUQHIomGEEKIS27Xrl189tlnvPPOO/Tp08fU4YgL1KdPH9555x0+/fRTdu3aZepwhBAdhEydEkIIcUlVVVURHh6Oi4sLO3bsQKVSmTok0Q50Oh0jRoygqKiI2NhYrK2tTR2SEMLEZERDCCHEJfXKK6+QkZFBZGSkJBlXEJVKRWRkJBkZGbz66qumDkcI0QFIoiGEEOKS2b59O1999RXvvfceQUFBpg5HtLOgoCDeffddvvzyS3bs2GHqcIQQJiZTp4QQQlwSlZWVhIWF4enpydatW2U04wql0+kYNWoU+fn5xMbGYmNjY+qQhBAmIiMaQgghLomXX36Z7OxsFixYIEnGFUylUrFgwQKysrKYOXOmqcMRQpiQJBpCCCEuui1btvDNN9/w4Ycf0qNHD1OHIy6ynj178sEHH/D111+zdetWU4cjhDARmTolhBDiotJoNISGhuLr68vmzZtRKuUZV2eg1+sZM2YMmZmZHDp0CFtbW1OHJIS4xOTTXgghxEX14osvkp+fz/z58yXJ6ESUSiXz588nLy+Pl156ydThCCFMQD7xhRBCXDQbN27k+++/5+OPP6Z79+6mDkdcYoGBgXz00Ud89913bNq0ydThCCEuMZk6JYQQ4qIoLy8nNDSU7t27s2HDBhnN6KT0ej1XX301qampxMXFYWdnZ+qQhBCXiHzqCyGEuCj++9//UlRUxLx58yTJ6MROTaEqLCzkv//9r6nDEUJcQvLJL4QQot2tW7eO2bNn8+mnnxIQEGDqcISJBQQE8MknnzBr1izWr19v6nCEEJeITJ0SQgjRrsrKyggNDSUoKIh169ahUChMHZLoAPR6PRMmTODYsWPEx8djb29v6pCEEBeZjGgIIYRoV8899xylpaXMnTtXkgzRSKlUMm/ePEpKSnjuuedMHY4Q4hKQREMIIUS7Wb16NfPmzePzzz/Hz8/P1OGIDsbPz4/PP/+cuXPnsmbNGlOHI4S4yGTqlBBCiHZRWlpKcHAwoaGhrF69WkYzRLMMBgOTJk0iISGB+Ph4HB0dTR2SEOIikRENIYQQ7eKZZ55Bo9EwZ84cSTJEixQKBXPnzqWiooJnn33W1OEIIS4iSTSEEEJcsH/++YfIyEi+/PJLunbtaupwRAfXtWtXvvjiCxYsWMDKlStNHY4Q4iKRqVNCCCEuSHFxMSEhIURERPDPP//IaIZoFYPBwLXXXktsbCwJCQk4OTmZOiQhRDuTEQ0hhBAX5Omnn6aqqorZs2dLkiFaTaFQMGfOHKqqqnj66adNHY4Q4iKQREMIIcR5W7FiBb/88gtff/013t7epg5HXGa8vb356quv+Pnnn/nrr79MHY4Qop3J1CkhhBDnpaioiODgYAYNGsSKFStkNEOcF4PBwJQpU9i/fz/x8fG4uLiYOiQhRDuREQ0hhBDn5cknn6S2tpZZs2ZJkiHOm0KhYNasWWi1Wp566ilThyOEaEeSaAghhGizpUuX8r///Y9vvvmGLl26mDoccZnz8vLi66+/5rfffmPZsmWmDkcI0U5k6pQQQog2KSgoIDg4mOHDh7Ns2TIZzRDtwmAwcOONNxIVFUVCQgKurq6mDkkIcYFkREMIIUSbPPHEE+j1en788UdJMkS7USgU/Pjjj9TX1/PEE0+YOhwhRDuQREMIIUSrLV68mMWLF/Pdd9/h4eFh6nDEFcbT05PvvvuORYsWsWTJElOHI4S4QDJ1SgghRKvk5eURHBzM2LFjWbx4sYxmiIvCYDBw6623snXrVhISEnB3dzd1SEKI8ySJhhBCiHMyGAzccsstbNu2Tb78iYsuPz+f4OBgRo8ezZIlSySpFeIyJVOnhBBCnNOiRYtYtmwZ33//vSQZ4qJzd3fn+++/Z+nSpSxevNjU4QghzpOMaAghhDir3NxcgoODGT9+PL///rupwxGdyLRp09iwYQMJCQl4enqaOhwhRBtJoiGEEKJFsuWoMKXCwkKCg4MZOnQoy5cvlylUQlxmZOqUEEKIFv3666+sWLGCH3/8UZIMccm5urryww8/sGLFCn777TdThyOEaCMZ0RBCCNGs7OxsgoODmTx5Mr/++qupwxGd2J133smaNWtISEiQk+iFuIxIoiGEEKIJg8HAlClT2L9/P/Hx8bi4uJg6JNGJFRUVERwczKBBg1ixYoVMoRLiMiFTp4QQQjTx008/8c8//zBr1ixJMoTJubi4MGvWLP7++29+/vlnU4cjhGglGdEQQghhJDMzk5CQEKZMmcJPP/1k6nCEaHTPPffw999/k5CQgLe3t6nDEUKcgyQaQgghGhkMBiZPnszBgwdJSEjAycnJ1CEJ0ai4uJiQkBDCw8NZuXKlTKESooOTqVNCCCEaLViwgDVr1jBnzhxJMkSH4+zszOzZs1m9ejWRkZGmDkcIcQ4yoiGEEAKA9PR0QkNDufnmm5k/f76pwxGiRQ888ADLli0jPj6erl27mjocIUQLJNEQQgiBwWBg4sSJHD58mPj4eBwdHU0dkhAtKi0tJSQkhODgYNasWSNTqITooGTqlBBCCObMmcP69euZO3euJBmiw3N0dGTOnDmsW7eOuXPnmjocIUQLZERDCCE6ubS0NEJDQ7n99tuZM2eOqcMRotUefvhhFi1aRHx8PH5+fqYORwhxBkk0hBCiE9Pr9YwfP56kpCTi4+Oxt7c3dUhCtFpZWRmhoaH07NmT9evXyxQqIToYmTolhBCd2KxZs9i0aRPz58+XJENcdhwcHJg3bx4bN25k1qxZpg5HCHEGGdEQQohOKiUlhb59+3L33Xfz448/mjocIc7bo48+yq+//kpcXBwBAQGmDkcIcZIkGkII0Qnp9Xquuuoq0tLSiIuLw87OztQhCXHeKioqCA0NJSAggI0bN6JUyoQNIToC+ZcohBCd0Pfff8/WrVuZP3++JBnismdnZ8e8efPYsmULP/zwg6nDEUKcJCMaQgjRySQnJxMWFsYDDzzAt99+a+pwhGg3jz/+OJGRkRw6dIju3bubOhwhOj1JNIQQohPR6/WMHj2arKwsDh06hK2tralDEqLdaDQa+vbti4+PD1u2bJEpVEKYmPwLFEKITuTrr79mx44dLFiwQJIMccWxtbVl/vz5bN++nW+++cbU4QjR6cmIhhBCdBLHjh0jLCyMRx55hK+++srU4Qhx0Tz11FPMnTuXgwcP0qNHD1OHI0SnJYmGEEJ0AjqdjlGjRpGfn09sbCw2NjamDkmIi6ayspKwsDA8PT3ZunUrKpXK1CEJ0SnJ1CkhhOgEvvzyS6KioliwYIEkGeKKZ2Njw4IFC9i1a5eM3glhQjKiIYQQV7gjR44QHh7OY489xueff27qcIS4ZJ555hl+/PFHYmJi6NWrl6nDEaLTkURDCCGuYDqdjuHDh1NSUkJMTAzW1tamDkmIS6aqqorw8HBcXFzYsWOHTKES4hKTqVNCCHEF++yzz9i3bx+RkZGSZIhOx9ramsjISPbs2SOjeUKYgIxoCCHEFerw4cNERETw1FNP8cknn5g6HCFM5vnnn+fbb78lOjqaPn36mDocIToNSTSEEOIKVF9fz9ChQ9FoNERHR2NlZWXqkIQwmerqaiIiIrC3t2fXrl2o1WpThyREpyBTp4QQ4gr08ccfEx0dTWRkpCQZotOzsrIiMjKSAwcOyOieEJeQjGgIIcQVJi4ujv79+/Pcc8/xwQcfmDocITqMl156ic8//5zo6GhCQkJMHY4QVzxJNIQQ4gpSV1fHkCFD0Gq1HDhwAAsLC1OHJESHUVNTQ//+/bGysiIqKgozMzNThyTEFU2mTgkhxBXkww8/5ODBg0RGRkqSIcQZLC0tiYyMJDY2lo8++sjU4QhxxZMRDSGEuELExsYycOBAXnzxRd59911ThyNEh/XKK6/wySefsG/fPsLCwkwdjhBXLEk0hBDiClBbW8ugQYPQ6/Xs27dPRjOEOAutVsuAAQNQq9Xs3btXplAJcZHI1CkhhLgCvP/++yQkJMiUKSFawcLCgoULFxIXF8f7779v6nCEuGJJoiGEEJe56Oho3nvvPWbOnEm/fv1MHY4Ql4V+/foxc+ZM3n33XWJiYkwdjhBXJJk6JYQQlzGtVsvAgQNRKpXs3bsXc3NzU4ckxGWjtraWgQMHYjAY2L9/v/z7EaKdyYiGEEJcxt555x0SExNZuHChfEkSoo3Mzc1ZuHAhiYmJvPPOO6YOR4grjiQaQghxmdq/fz8ffvghr7/+uuycI8R5Cg8P57XXXuODDz5g//79pg5HiCuKTJ0SQojLkFarpV+/flhaWrJ7927ZNUeIC1BXV8fgwYOpra2Vgy6FaEcyoiGEEJehN998k6SkJCIjIyXJEOICmZmZERkZybFjx3jrrbdMHY4QVwxJNIQQ4jKzZ88ePv74Y958801CQ0NNHY4QV4S+ffvyxhtv8NFHH7F3715ThyPEFUGmTgkhxGWkpqaGiIgIbG1tiYqKQq1WmzokIa4Y9fX1DBkyhMrKSmJiYrC0tDR1SEJc1mREQwghLiOvv/46KSkpLFy4UJIMIdqZWq1m4cKFpKSk8MYbb5g6HCEue5JoCCFEB7RixQq2bNlidG3Xrl18+umnvP322/Tp08c0gQlxhQsODuatt97i008/JSoqyqhsy5YtrFixwkSRCXH5kalTQgjRAfXv358BAwYwa9YsAKqqqggPD8fZ2ZkdO3bIaIYQF1F9fT3Dhw+ntLSU2NhYrKysAHjkkUeIjo6WbXCFaCUZ0RBCiA4oNTUVPz+/xj+/+uqrpKenExkZKUmGEBeZWq0mMjKSEydO8OqrrzZe9/PzIzU11YSRCXF5kURDCCE6mLKyMkpKSggICABg+/btfPnll7z33nv06tXLxNEJ0Tn07t2bd999ly+++IIdO3YAEBAQQHFxMeXl5SaOTojLg0ydEkKIDubgwYOEh4cTFRVFaGgo4eHhuLu7s23bNlQqlanDE6LT0Ol0jBw5koKCAg4ePMjBgwcZNmwYBw8epG/fvqYOT4gOT0Y0hBCigzk1NSMgIICZM2eSmZnJggULUKlU1NfX88MPPxhN5xBCtJ9XX32VH374gfr6elQqFQsWLCAzM5OZM2c2jjLK9CkhWkcSDSGE6GBSU1OxsrIiMTGRr7/+mg8++ICePXuyZs0awsLCePzxx6mrqzN1mEJckerq6nj88ccJCwtj7dq1BAUF8f777/PVV19x5MgRLC0tJdEQopUk0RBCiA4mNTUVX19fHnzwQUaOHMn48eOZPHky11xzDW5ubuzfv5+PPvrI1GEKcUX66KOP2L9/P66urkyaNInJkyczfvx4RowYwUMPPYSvr68kGkK0kiQaQgjRwaSlpVFTU0NOTg7+/v6EhYVx9OhRli5dyubNm+nXr5+pQxTiitavXz+2bNnC0qVLOXr0KOHh4QQEBJCdnY1WqyUtLc3UIQpxWZDF4EII0cF069atcfqUmZkZr732Gk8++SQWFhamDk2ITker1fL111/z7rvvUldXR3V1Nd26deP48eOmDk2IDk8SDSGE6GDUajU6nY5HH32Ut99+G3d3d1OHJESnl5+fz+uvv86sWbMaN2YQQpydJBpCCNHBvPzyy0ycOJExY8aYOhQhxBm2bNnC2rVr+eCDD0wdihAdniQaQgghhBBCiHYni8GFEEIIIYQQ7U5t6gCEuBKlp6dTWFho6jCEuCK4urri6+tr6jBEC+TzToiWdfbPL0k0hGhn6enpBPXuRU1VtalDEeKKYGltxdHEI536l3VHlZ6eTq+g3lTXVJk6FCE6JCtLa44cTey0n1+SaAjRzgoLC6mpqibwm5ux6uFq6nCEuKxVJxWS/ORSCgsLO+0v6o6ssLCQ6poqbg78BlerHqYOR4gOpbA6iaXJT3bqzy9JNIS4SKx6uGIb6mXqMIQQ4qJzteqBl22oqcMQQnQwshhcCCGEEEII0e4k0RBCCCGEEEK0O0k0hBBCCCGEEO1OEg0hhBBCCCFEu5NEQwghhBBCCNHuJNEQQgghhBBCtDvZ3lYIcdFFD/4CbWYpEbtnYNnV6YLbS56xnIIlsXT//Abcp0W0Q4Ttr2D5IfJ+2kdVYh4GnQGrQFfcp4Xjce9AFMrze8ZTsjmJnNlRaA5lY6ipx8LPCdepIXhNH47SQj7OhbiUvogeTKk2kxkRu3Gy7HrB7S1PnkFswRJu6P45Ee7T2iHC9neoYDn78n4iryoRg0GHq1Ug4e7TGOhxL0rF+X2uJZVsJipnNtmaQ9QbanCy8CPEdSrDvaajVlq08ysQl5r8ZhJCiHaWMvMf8hbuQ2GpxmF4NxRmSsp3pJL6yirKdqTSc/ZtbU42sr7fQfp760GlxGGoPyoHS8p3nyDj402UbDhGn8X3obIyv0ivSAjR2f2TMpN9eQtRKyzp5jAcpcKM1PIdrEp9hdSyHdzWc3abk40dWd+zPv09lKjwdxiKpcqBE+W72ZTxMcdKNnBfn8WYq6wu0isSl4IkGkKIi67Povsw1Osw97Rvl/Z8Xx6H9xMjMHO3a5f22lPRysPkLdyHmbstwUsfxKqbCwC1BRoO3xpJ8epEcufvocvDQ1vdpuZgFunvb0BpZUafxfdj188HAF2llsR7f6Vi9wkyPtyI/1vXXJTXJIRo6r4+i9AZ6rE392yX9sb5vswI7yewM3Nvl/ba0+GilezLW4itmTsPBi/FxaobAJraAiIP30pi8Wr25M5naJeHW91mluYgG9Lfx0xpxf19FuNj1w8Ara6SXxPv5UTFbjZmfMg1/m9dlNckLg1ZoyGEuOgs/Z2xCnRDaaZql/bMPeywCnRDbW/ZLu21p6xvtwPgN3N8Y5IBYO5mS8AH1zXU+W4HBr2+DW3uAIMBr8dHNCYZACobCwI/vwGUCnJ/2kd9WXX7vAghxDk5W/rjZhWISmnWLu3ZmXvgZhWIpbp9Hsi0p+1Z3wIw3m9mY5IBYGvuxnUBHwCwI+s79IbWf67tyPoWAwZGeD3emGQAWKhsuCHwcxQo2Zf7E9X1Ze30KoQpyIiGEKJNKuNzyPhsM+V70zFo67EKdMXz/kG4396PKO83ABiaZfwEqqU1Ggm3LKA8Ko0+S+5HZWtB5udbqNiXjq66DqtuLng+NBiPO/o3iaGjrtHQZpdReSgbhbkK5+uCm5Q7DPXH3NOe2txyNAcysRvoe8429bX1lG5OAsDtxr5Nyi39nLHr35WKfemUbEpqto4Q4uxyKuPZnPEZ6eV7qTdocbUKZJDn/fRzv503orwBeGtoltE9La3RWJBwC2nlUdzfZwkWKlu2ZH5OesU+6nTVuFh1Y7DnQ/T3uKNJDB11jUaZNpvsykOoFOYEO1/XpNzfYSj25p6U1+aSqTmAr93Ac7ZZr68lqXQzAH3dbmxS7mzpR1e7/qRX7COpZFOzdcTlQUY0hBCtVrYjhbipcylZdxRzVxucJgShsrXg+At/k/bO2vNut3RLMvFT5lKTUYLD6O7YhnahKjGPlOf/IvvHne34Ci6uyvhcAKx7uqOyav4pp024V0PdhJxWtVl9vAh9dR1qRyss/Z2brWMbdrLN+Na1KYT4V0rZDubGTeVoyTpszF0JcpqAhcqWv4+/wNq0d8673eTSLcyNn0JJTQbdHUbTxTaUvKpE/kp5np3ZP7bjK7i4civjAXC37olZC+slvGzCAcipTGhVm0XVx6nTV2OldsTZ0r/5Nm3DTrYZ37aARYciIxpCiFbRVdeS9NQyDDX1+DwzGp/nxqJQKACo2JfO4bt+Pu+2s7/bQffPpuJ++7/D5wVLD5L81DIyv9yKx30DL3ihc01GCTFDvmzzfW63hhP4ZeuepmkzSgAw93FosY6Fd0NZTXpp29r0brnNU2XaVrYphGhQq6tmWdJT1BtqGO3zDGN9nmv8XEuv2MfPh+8677Z3ZH/H1O6f0c/99sZrBwuWsiz5KbZmfslAj/sueKFzSU0GX8YMafN94W63cmPgl63rQ5sBgIO5T4t1HCwaRn1Ka9Lb2KZ3y22eLCvVtq5N0TFJoiGEaJXifw5Tl1eBZTcXfJ4d0/jLGMBuoC+e9w0k+/vzG31wntzHKMkAcLs5jKxvtlOdVEDlwWzsh/hfSPiobMxxuzW8zffZDTr39KZTdJW1DX1Zt5wUnSrTabTt16bNyTYrW9emEKLB4eJ/qKjLw8WyG2N8njX6XPO1G8hAz/vYmf39ebXdx3myUZIBEOZ2M9uzvqGgOonsyoP427c9STiducqGcLdb23yfr92gVtet1VWe7Mv6LHE0lGl1mnZs0+Zkm5WtalN0TJJoCCFapWx3GgAuU0Ka3ZrV9Ya+551oOI3r2ex1q0BXqpMKqM2rOK92T2fmbNPqkQkhROeQVrYbgBCXKc1uzdrX9YbzTjR6Oo1r9rqrVSAF1UlU1OadV7unszFzbvXIhBCmIGs0hBCtUpvb8GXfooVpQS1dbw2LFqYFqWwbDmvS19Sfd9uXUuPIQlVti3VOlZ16be3S5qlRDxs53EqItqiobVhX5WDR/LSglq63xqnpRGeyUNkCUK+vOe+2L6VTIwu1uqoW65wqO/Xa2qfNypNt2rSqTdExyYiGEKJNTp9aYETZwvXWuJB7W6muuJITb69r8312g3zxuLPpzlfNsejqCEBtZsvbMdZmlxvVPWebPifbzGq/NoUQxlr6XFNcwPPYC7m3tSrrill34u023+drN4j+Hne2qq6jRcOOWmW1mS3WKa/NNqp77jZ9TraZ1WKdtrYpOiZJNIQQrWLu0XA4njaztNlybUbz1zsKXWUtBUtiz+ve1iYaNsFdAKg6lo+uuq7Znac0sQ2/WG1CurSqTatAV5SWZtSXVlOTVtzszlNtbVMI0cDO3AOAUm3zX6JLTy5a7qhqdZXEFiw5r3tbm2h0sWnYqju/6hh1uupmd57K0sSerBvSqjZdrQIxU1pSXV9KcU1asztPtbVN0TFJoiGEaBX7wX4ULIqh6O+EhsXgZ6zTKFwRZ6LIWseyq1OT8z3am4W3AzahXaiMy6H4n4Qmi8/LotKozSnHzN0Wu/6tm5KhNFfjeFUgxasSKVh+iK7PjDEqrzlRTMWBDBTmKpyu7tE+L0SITsLPfjAxBYtIKPqbMT7PNlmnEVe4wkSRtY6TZdcm53u0NwcLb7rYhJJTGUdC8T9NFp+nlUVRXpuDrZk7PnateyijVpoT6HgVicWrOFSwnDFdnzEqL645QUbFAVQKc3o4Xd1ur0VcerJGQwjRKi7XB2PmZkt1ciFZX23DYDA0llVEZ5IXuc+E0XUc3k+MBODE++upTi1qvF5XqCF15j8NdR4f0SRRy1mwh5hR35D01LKmbT4+EhQKsr/bQUXMv09edZVajj+3AvQGPO8diNrhwrbKFKKzCXa5HlszNwqrk9mW9ZXR51pmRTT78iJNF1wHMtL7CQDWn3ifourUxuuaukL+SZ0JwAjvx5skantyFvBNzCiWJT3VTJuPo0DBjuzvyKyIabyu1VWy4vhzGNAz0PNerNTnv/5PmJ6MaAghWkVlbU7g1zdx5P7fyPh0M4Ur4rEO9qQuX0P5nhN0eXAwOXOiUJipTB2qSblcF4zHvQPJ+2kfB8d9j+OIbijMVJTtSEFXocVpUi88Hxjc5L764ipqjhdi7t50MaVtuDe+M8eR/t564qfOw2F4AGp7S8p3p1FXWIlthA9dX5KnfkK0lbnKmpsCv+a3I/ezOeNT4gtX4GkdjKYunxPlexjc5UGicuagUjR/AGdnEexyHQM97mVf3k98f3Ac3RxHoFKYkVK2A62ugl5Okxjs+UCT+6rqiymsOY6tuXuTMm/bcMb5zmR9+nvMi59KgMNwLNX2pJXvprKuEB/bCK7u+tKleHniIpJEQwjRao6juhOy4iEyP9tC+d4TaDNKsezuQrf3r8VxbA9y5kShdm55X/TOotsH12E3yJe8yL2U7z6BQafHKtAV99sj8Lh3YLPbA5+L92MjsO7tQc6sXWgOZqHX1mPp64Tng4Pxmj4cpYV8nAtxPro7juKhkBVsyfyME+V7KdVm4GLZnWu7vU8Px7FE5czBWt10bVRnc123D/C1G8TevEhOlO9Gb9DhahVIhPvtDPS4t9ntgc9lhPdjeFj3ZlfOLLI0B6nXa3Gy9GWw54MM95qOWik76V3uFIbTxwmFEBcsOjqa/v37E7rmUWxDvUwdziVT8MdBkp9ehtO4nvRaeP6n6QpxOk1cNnGTZnHgwAH69et37hvEJXXq8+7R0DV42YaaOpx2d7DgD5YlP01Pp3Hc1WuhqcMRl5lsTRyz4iZ16s8vWaMhhGi1ukJNs7tOVRzI4MS7DVvHut0WcYmjEkKI86epK2x216mMigOsO/EuABFut13qsIS4IshYuxCi1SoP55F4x09Y9XLHsqsTCjMV2vQSKuNzAHC9OQyXa/uYOEohhGi9vMrD/JR4B+5WvXCy7IpKYUaJNp2cyngAwlxvpo/LtSaOUojLkyQaQohWswp0xePegZTvTqN8Xzp6jRaVrQX2wwNwvy0C15v7mjpEIYRoE1erQAZ63Eta+W7Sy/eh1WuwUNkSYD+cCPfb6Ot6s6lDFOKyJYmGEKLVLLwc6PbBdaYOQwgh2o2DhRfXdfvA1GEIcUWSNRpCCCGEEEKIdieJhhBCCCGEEKLdydQpIcQVLeOzzWR+vgWfZ8fQ9bmxpg7nktNmlVGy4SiaQ9lUHsym6lgB6PT4vTYBr+nDTR2eEOI8bM74jC2ZnzPG51nGdn3O1OFcUnqDnkzNAZJKNpFatpOC6mRq9ZVYqR3xsulLf4+76O08ydRhipMk0RBCiCtY8arDpL25xtRhCCFEuyipOcG8+BsAsFI74m0bjpXagZKadJJKN5FUuolwt9u4ofvnKBQK0wYrJNEQQogrmYWvE54PDcG2rxc2YV5kfbOdwqUHTR2WEEKcF4VCQYD9cIZ7/YfujqNQKlSNZWllUfx65F5iCxbjbz+ECPdpJoxUgCQaQghxRXOe2Avnib0a/6xQyhM+IcTly9nSn/uDFzdb5u8wlBHej7Mp4xMOFiyVRKMDkERDiE6mOrmQrG+2URaVRl2+BoW5CjMna6xDPHG7yfjAPZ1GS+GfcZRsSqLqaD51uRWgVGAZ4IzLtX3o8sgwVFZmTfqI8n4DgKFZb5G/KIbcyL1UJxWgsrXA8eoe+M0cj5mLDfqaOrK+3U7hn/Fos8swc7HB7ea++Dw3FqWZyqjN5BnLKVgSS/fPb8Am2JOMz7dQsTcdXXUt1j3c8HxgMO7T2n4qeVVSAdk/7qR8Zyq1+RqUlmpsQ73wfGgwzhN6Nalfm1tO5jfbKd2STG1OOQqFArWzNVY93XC5pjcedw9ocwxCiAtTWJ3MtqxvSCuLQlOXj0phjrWZE57WIYS53WR04J5WpyGu8E+SSjaRX3WUirpcFChxtgygj8u1DOvyCGYqqyZ9vBHlDcBbQ7OIyV/E3txICqqTsFDZ0sPxasb7zcTGzIU6fQ3bs74lvvBPyrTZ2Ji50NftZsb6PIdKafx5uTx5BrEFS7ih++d42gSzJeNz0iv2Uqurxs26B4M9HzivL8sFVUnszP6R1PKdaGrzUSst8bINZbDnQ/RyntCkfnltLtszvyG5dAvltTkoFAqs1c64WfWkt8s1DPC4u80xmEoXmxAAymtzTByJAEk0hOhUKhPzSLhhHjqNFqtAV2zH9wQU1OaWU7blOPqaeqNEo/JwLikv/o2Zqw2W3V2x7etFfUkVmpgsMj7eRMn6owT/8QBKy6bJBsCJ99aRM3c39kP8cRwbSMX+DAp+j6HyYDYhKx4i8c6fqUouxH6IH5YBzpRHpZH1zXbqiqvo/vGUZtvUxGSSMvMfzD3tcRjVjbrCSsp3n+D4s39SGZ9DwDuTW/1+FK6II3nGcgy1OqyC3HG6uid1xZWU7z1B2Y4UvGeMxve/VzXWr82r4NA1s6jL12Dh44jjmECU5ipqcyvQRGeizSiVREOISyyvMpF5CTeg1WlwtQqkp+14FDR8eT5etoV6fY1RopFbeZi/U17ExswVV8vueNn2paq+hCxNDJsyPuZoyXoeCP4DM6Vls/2tO/Eeu3Pm4m8/hEDHsWRU7Cem4HeyKw/yUMgKfk68k8KqZPzsh+BsGUBaeRTbs76hqq6YKd0/brbNTE0M/6TMxN7ck24Oo6isK+RE+W7+PP4sOZXxTA54p9XvR1zhCpYnz0BnqMXdKoieTldTWVfMifK9pJTtYLT3DK7y/W9j/YraPGYdugZNXT6OFj4EOo5BpTSnojaXTE00pdqMyyrRKKpJBcDO3MPEkQiQREOITiVnThQ6jRbfl67G+8lRRmW6Si1ViflG1yx8HOmz6D7sh/mjUP67G3Z9WTVJj/9B6eZkcubtxvvxkc32V7DkIH3X/QfrHm4N95VWEzdlLlWJecRNmYva3pJ+UTNQ2zf8Qq+MzyHu2tnk/xaNz1OjsPBxbNJm3s/78XxoMP5vTEKhaoipIjqTxDt+Inf+HhzHBOJ0dc9zvheVh3NJnrEchZmKoHl34HRVj8ayqqP5JN79C1lfbsVhWAAOwwMa+v7tAHX5GjzuHkDAh9cZLTTUa+vRxGSes9/TnRr5aQv7of4E//FAm+8T4koVlTMHrU7D1b4vMcr7SaMyra6S/KpEo2uOFj7c12cR/vbDUCr+/Vyrri/jj6THSS7dzO6ceYz0frzZ/g4WLOE/fdfhZt3j5H2lzI2bQl5VInPjpmCptmdGvygs1fYA5FTGMzvuWqLzf2OUz1M4Wvg0aXN/3s8M9nyISf5vNK45yKyI5qfEO9iTO59AxzH0dLr6nO9FbuVhlifPQKUw446gefRw+vdBSX7VUX5JvJutWV8S4DCMAIeGXecO5P2Gpi6fAR53c13Ah0afa/V6LZmamHP2e7pTIz9t4W8/lAeC/2jzfWeq1VWzJ2c+AL2dW//QSVw8kmgI0YnUFWgAcBzbo0mZysYCuwFdja5ZeDlg4eXQpK7awQr/tycTO/JrilYebjHR6Pr82MYkA0DtaIXnPQNIe3MN1ccKCNv0eGOSAWAT0gXHq3pQsu4o5VFpuN0a3qRNc097/F6Z0JhkANj186HL/w0h84ut5MyJalWikfX1Ngy1OvzfnGSUZABYB7nj/8ZEjj26mNzIPY2Jxr/vX2CT3UyUFmrsh/ifs9/TNff6zsUq0LXN9whxJdPUFQDQw7Hp9tUWKhu62hmPMjpYeOFg4dWkrpXagcn+b/N17EgOF61sMdEY2/X5xiSj4T5HBnjew5q0NymoPsbjYZsakwxomMrTw/EqjpasI608inC3W5u0aW/uyQS/V4wWNvvY9WNIl/9ja+YXROXMaVWisS3ra3SGWib5v2mUZAC4Wwcx0f8NFh97lD25kY2Jxqn3L9BxbJPPNbXSAn/7Iefs93TNvb5zcbUKbPM9zVmZ+jIl2nTcrHoywOOudmlTXBhJNIToRGwjvCndlETKS//Q9YWrsB/sh9Li7B8DBoOBin3plO8+QW1OOfqaOjAABgMANSlFLd7rOLbpLw9Lf2egYbTk9CSksTzABWiYptQc52v7NBuz681hZH6xlfJ96RjqdSjUqmbuPvma9HpKtySDQoHLdcHN1rEf6g9AxYF/Rylsw33IW7iPE++tB8BhVHdU1uYt9nMugV/eeN73CiEaeNtGkFS6iX9SXuKqri/gZz8YtdLirPcYDAbSK/Zxonw35bU51OlrAAMGGj7XimpSWrw3sJmExtnSH2gYLTk9CTnFxbLhYUVFbV6zbfZxvrbZmMNcb2Zr5hekl+9DZ6hHpWj581pv0JNcugUFCoJdrmu2jr/9UAAyKw40XvOxDWdf3kLWn3gPgO4OozBXWbfYz7ncGPjled97IbZkfkFswRIsVfbc1vPHc/4MiEtDEg0hOhGv/wynYk86ZTtSSLzjJxQWamz6eGI/1A/Xm8Kw6W08p7W2QMOxh3+nYn9Gi23qKrQtlpl3sW9yTWlj3mIZgOpkuV5b32y5pa9js9ctvB1AqcBQU09dSTXmbrYtxlVfUt0Y9/6+zc+ZbqxbVNn4/2639KVsWzKFy+M4+tDvoFJiHeSO/RA/XKeEYDfQ96xtCSHa33Cv/5BesYeUsh38lHgHaoUFnjZ98LMfSpjrTXjY9Daqr6kt4PdjD5NRsb/FNrW65h90ANibd2lyzVxp02IZgLmqobxe3/znpaNl858dDhbeKFBSb6ihuq4EW/OmD2dOqa4vaYz74/19W6wHUFn/7wOivm63kFy2jbjC5fx+9CGUqHC3DsLPfgghrlPwtRt41rY6gl3Zs9ic8SnmShvu7v0z7tZBpg5JnCSJhhCdiMrKnD6L7qMiOpPSLUlU7Mug4kAGmphMsr/fic/zY+n6zJjG+inPr6BifwZ2A33xeXYMNsGeqOwtUZqp0NfWs+ccCxRPX9fRtMx026wadPqG/1Epcbvp7L+QT6dQKunx7S14PzGSkg3HGkZ69meQO38PufP34HZ7BIGf3dDq9pJnLG9j5A1Tp7yfaH6qmhCdkbnKivv6LCKzIpqk0i1kVOwjo+IAmZoYdmZ/z1if5xnT9ZnG+itSniejYj++dgMZ4/MsnjbBWKrsUSnNqNfX8s6egLP2d/q6jjMpzlJ2sekNOgCUqOjrdlOr71MqlNzS41tGej/BsZINpFfsI6N8P3ty57Mndz4RbrdzQ+BnrW5vefKMtoaOq1UgI72faPN9ALtz5rP2xNuYKS25q9fCJlPlhGlJoiFEJ2TXzwe7fg0LEvW19RQujyPlhb/I/GwLrteHYBXoiq6qlpJNSaBS0mvhnagdjLd7rEkrNkXoaDNKm7+eVQZ6AwpLNWZOTbemPJ2ZszVKSzP0NXUEvDcZlU3bhtite3lg3ath9Meg11O6MYmkJ5ZS8HsMrlNCcBzduvnGBUti29QvNEzpkkRDiKZ87PrhY9cPgHp9LXGFy/kr5QW2ZH5GiOv1uFoFUqurIqlkE0pU3NlrIVZq4zVoxTVpJogcSrXNjxqXabMwoEetsMTKzOmsbVibOWOmtKROX8PkgPewODmK0loe1r3wsG7Y0ltv0JNUupGlSU8QU/A7Ia5TCHQc3ap2YguWtKlfaJjSdT6Jxp7cSFanvYZaYckdQQvwdxja5jbExSWJhhCdnNJcjfu0CPJ/j6ZibzpViXkNiUZ5DegNqBwsmiQZAIXLDpkgWihaeRjfV8ajNDf++Cpc3hCP/QDfs67PAFCoVTiM7EbJ+qMU/XP4vM7faGxLqcRpfBBOE4IoXHaIysO5rU40hma9dd79CiFaplaaE+E+jej830mv2EteVSKuVoHU6MoxoMdC5dAkyQA4VLjMBNHC4aKVjPd9BbXSeM3XocKGUU9f+wFnXZ8BoFKo6eYwkqMl6zlc9M8FHVanVCgJchpPkNMEDhUuI7fycKsTjbeGZp13v22xL/cnVqW+glphwR295tHdcdS5bxKXnOnG+IQQl1xu5F6qkwubXK85UUzVsYadR8x9Gn75mrnZonK0QldWQ8Fy46SiZHMS2XOiLn7AzajNKSf9/Q0Y9PrGa5rYLHJmN8Tj+VDrdkjxeWY0CjMVaW+spnBFHIaTi9tPMRgMVMRkUro1ufFawZJYNHHZTdqqK66iIrph0biFt2NbX5IQ4gLszY2ksDq5yfXimhMUVB0DwMG8YQTX1swNK5UjNboyDhUYT11MKtlMVPacix9wM8prc9iQ/j56w7+fa1maWKJyZgMwxPOhVrUz2ucZVAozVqe9QVzhimY/1zIrYkgu3dp4LbZgCdmauCZtVdUVk1kRDYCjRdu3rL2Y9uf9ysrUmagVFtweNJdAxzGmDkm0QEY0hOhE8n49QOorK7Hwc8I6yB2VjTm1+Roq9qVjqNXhMjUEu4iGX8gKlRKfJ0dy4p11JD+xlNwFe7Ho6oj2RDGamCy8nxxJ1jfbL/lr8LhnALk/7aNk/VFswryoL6qifHcahno9HvcNxHlC6xYB2oZ5E/jVjRx/dgVJj/1B+vsbsOrphtrRirqiSqoScqkrrMTr8RGNIxRFqxMpmbEcc097rIM9UTtYUl9SRfmedPRVtdgN9sP5mt7n6PnSqs2raFi4flLNiYYpbznz91D0z+HG60Hzbsfcw+6SxyfEhUDc4x8AADcUSURBVDqQ9ysrU1/BycIPd+sgzFU2aGrzSa/Yh85QS4jLVHzsGkYtlQoVI32eZN2Jd1ia/AR7cxfgaNGVYu0JsjQxjPR+ku1Z31zy1zDA4x725f7E0ZL1eNmEUVVfRFr5bvSGegZ63EdQM6d5N8fbNowbA79ixfFn+SPpMTakv4+bVU+s1I5U1hWRW5VAZV0hI7webxyhSCxazfKSGdibe+JpHYyl2oGq+hLSy/dQq6/Cz24wvZ2vuZgvv01yKuP5J+VFDBhwtOxKfNFfxBf91aSetdqZif6vmyBCcTpJNIToRHxfuKphEXNMJhX7M9BptJi52mI/xB+PO/vjfK3xl2Sv6cOx6OpE9o87qT6WT/XRfKyC3An85mbcbuprkkTDNsIH97v6k/npZkq3HkdfU4d1Lw887huI+x392tSW69RQbMO8yZm/m7JtKZRHpQFg5m6LdbAnTlf3NDop3evRYVj4OFJxIIPKQ9nUl1WjdrbGJrQL7reF43pjX5RmZ5+2danpa5s/SLA2q4zarDKjekJcjq7yfYFjJRvIrIgho2I/Wp0GWzNX/O2H0N/jTno7X2tUf7jXdJwsurIz+0fyq4+RX30Ud6sgbg78hr5uN5kk0fCxjaC/+11szvyU46VbqdPX4GHdi4Ee99HP/Y42tRXqOhVv2zB258wnpWwbaeUNo722Zu54WgfT0+lqo5PSh3k9iqOFDxkVB8iuPER1fRnWame62IQS7n4bfV1vRKU0a9fXeyFq6ssbtyEurE5udjQLGrYalkTD9BSGM8fVhBAXJDo6mv79+xO65lFsQ5seCiXOT/KM5RQsiaX75zdc0JoKcXnRxGUTN2kWBw4coF+/tiWS4uI79Xn3aOgavGxDTR3OZWd58gxiC5ZwQ/fPL2hNheiYsjVxzIqb1Kk/v2SNhhBCCCGEEKLdSaIhhBBCCCGEaHeSaAghhBBCCCHanSwGF0JcFgK/vJHAL280dRhCCNFubgz8khsDvzR1GEJcNDKiIYQQQgghhGh3kmgIIYQQQggh2p1MnRJCkL8ohuPP/onbreGdenrSqffhdKGrHsE2rOmpuNXJhWR+tZWynanUl1Rh5maL01U98HlmTLsefGfQ6SlelYjmUBaa2Gwq47LRVWixCnInfNPj7dbPmWpzy8n8cislm5KoK9CgdrLGYXgAPjNGY9XdtUn9yvgcDk380eiabEUsTCkmfxF/Hn+WcLdbO/X0pFPvw+keCV2Ft21Yk7qF1clszfyK1LKdVNWXYGvmRg+nqxjj8wx25h7tHlt5bS5bM78kqWQTmroCrNVOBDgMZ7TPDFyturdbP5q6QpJLNpFUupkszUHKa3NQKlQ4WfgS6DiWYV6PYmfu3uS+nMp4fjw00eiabEXcNpJoCCHEGSz8nbEf6AuA2tm6SXlZVBpH7v4FfU0dNqFdsB/sR9XhXPJ+3k/RqkRClj/Y7Jfx86HTaDk2fXG7tNVaVUkFJNw4n/qSKqwCXbGb1JualCIKlx2ieHUivf93b+P7c4rayQq3W8MBKN+Xjjat+JLGLIQ4O2cLf3ztBwINp2afKa0sil+O3E2dvoYuNqH42Q8mt+ow+/N+JrFoFQ+GLG/XL/8FVUnMT7iRqvoSXK0C6W03iaKaFA4VLiOxeDX39v5fY7wXam3aWxwqXIYCJe7WQfRynkCtropszUF25fxITMHv3Nv7f3jZ9jW6z0rtRLjbrQCkl++jWJvWLvF0JpJoCCHEGewH+rY4sqOrqiXpsSXoa+rwf3cyXR4Y3FiW9vZacmbtIunxPwhd/SgKheKCY1GYqXC9qS+2fb2wCfNCV67lyH2/XnC7LTHo9ST9Zwn1JVV0mT4M/9f+fZqXM383aa+t5tj0xUTseAqVlXljmYW3Y+N7ljxjOQWSaAjRofjaD2xxZKdWV8WSpMeo09cw2f9dBnd5oLFsbdrb7MqZxR9Jj/No6Op2+VzTG/QsSfoPVfUlDOsynYn+rzWW7c6Zz+q011h8bDpPRezAXGV1wf1ZqR0Z6/M8/dxvx96iS+N1ra6Sv47/l/iiFSw+Np0nI7ahUvz71djRwrvxPVuePIPigrQLjqWzkTUaQgjRBvmLYqjL12A/LMAoyQDwe2U8Fv7OVMblULopqV36U1mb0+Obm+nyf0OxH+SH0tqsXdptSenGJKoS87D0d8Zv5nijsi4PDsF+qD91uRUULIq9qHEIIS6dmPxFaOryCbAfZpRkAIz3ewVnC39yKuNIKt3ULv0llW4kryoRZ0t/xvvNNCob0uVB/O2HUlGXS2zBonbpb3LAO4zp+oxRkgFgobJhavfPsFDZUqI9QWbFgXbpT/xLRjSE6ICqkwuIHf0tahcb+h94DqWZqkkdQ72OAwM/py5fQ9jGx7Du1TB/tiI6k6KVCZTvSqM2u4z6shrUztbY9e+K1/Rh2PXv2uo4zrV2o2xXKodvjcR+qD/BfzzQpFybVUb2rJ2Ubk5Gm12GUq3Cupc77nf2x+228HZ5Mnaplaw5AoDrTaFNyhQqJa5TQsj6ehvFa4/gdHXPSx3eBSte2/D6XKaGoFA1fRblelNfyqPSKF57BM/7B13q8MRlrKA6mW9jR2OjduG5/gdQKZsmzTpDPZ8fGIimLp/HwjbiYd0LgMyKaBKKVpJWvouy2mxq6suwVjvT1a4/w7ym09Wuf6vjONfajdSyXUQevhV/+6E8EPxHk/IybRY7s2eRXLqZMm02KqUad+te9He/k3C32y7Lz7UjJWsACHW9qUmZUqEixHUK27K+5kjxWno6XX3h/RWvBSDEZSpKRdPfb31dbyKtPIojxWsZ5Hn/Bfd3NuYqK1wsu5Nd2bB2Q7QvGdEQogOyCnTDNsKH+qLKFp+Ml245Tl2+Bpu+Xo1JBkDGRxvJmbMbQ50O23BvnMYHoXayonjVYeJvnE/R3wmX5DWU7Uzl4LjvyZ23B/QGHMcEYhvhTWViHsef/ZPkp5dfkjjaW2V8wy+i5haIA9iGexvVu9w0vr7wFl5f2OX9+oTpuFkF4mMbQWV9UYtPxo+XbkFTl4+XTd/GJANgY8ZH7M6Zg85Qh7dtOEFO47FSO3G4eBXz428koejvS/IaUst28v3BcezJnYcBPYGOY/C2jSCvMpE/jz/L8uSnL0kc7S2nMh6g2QXiDdfDjeq1X3/hLfQX1q79nY1OX0epNgMAW7OmC8LFhZERDSE6KPdp4WhiMilYEovzxF5NyguWxALgdlu40fUu04cR+O3NmLvZGl0vXneUY48sIuWlv3Ec18Nofn17q82r4Ogji9BV1tL9ixtxuzWs8SmfNquMIw/8RuHSgzgMD2j1rkTN7QjVGu2581F9RQ31pdUAWPg4NlvHwtsBAG16abv0eanVZJQCDWsumnPq9dUXV6Gr1KKysbhEkYkrQbj7NDI1McQWLKGX88Qm5bEFSxrqud1mdH1Yl+ncHPgttuZuRtePFq9j0bFH+DvlJXo4jmuX+fwtqajNY9HRR6jVVXJj9y8Ic7u18XOtTJvFb0ce4GDhUgIchrd6V6LmdoRqjfbc+aimvoLq+lIAHC18mq3jYNHwgKFUm94ufZbWZJzsr/kHGqf6q6ovRqurxEJl0y79Nic6/39U1Rdja+ZOV7sBF62fzkoSDSE6KJepoaS+uYaSjceoK67C7LTdj+pLqylefxSFuQrXG4yn8DiN7dFse84TgnC5rg+Fy+Mo35mG07iLN60nZ24UutJqvB4bjvsZiZCFtwPdP5lC3OTZ5C7Y0+okwDLAuXFXo7awDGi6u8r50lfWNv6/qoW1EkrrhgROV6ltt34vpVOvsaW1IEqbfxNUnaZWEg3RJqEuU1mT+ibHSjZSVVeMtdm//z6r60s5WrwelcKcUNcbjO7r4TS22faCnCfQx+U64gqXk1a+k55O4y5a7FE5c6nWlTLc6zHC3Y0TIQcLb6Z0/4TZcZPZk7ug1UmAs2VA465GbeFsGdDme1pSq69s/H8zVdNd9gDMlQ3XtbrKZsvPt08zZUv9/ZtY1Oo0Fy3RyKtMZN2JdwGY4PcKauXFewDXWUmiIUQHpba3xHliL4pWxFO4/BBdHhrSWFa4Ig6Dth7nyX0wc2r6QV1XXEnJ+mNUHc1HV16DoV4PQNWRfACqUwpx4uIlGiUnp3u5XBfcbLlNXy+UNuZUJuSir6lDaXnuBc72g/ywH+TXrnEKIS4tS7U9vZwnEl+0gkOFyxnS5aHGsrjCFdQbtPRxnoy1mVOTeyvrijlWsp78qqPU6MrRG+oByK9qWFdUWJ1Cz6a3tZukkobpXsEu1zVb7mXTF3OlDbmVCdTpazBTWp6zTT/7QfjZy1onUyjTZvPb0fup1VfSz/1OwtxuMXVIVyRJNITowNynRVC0Ip6CJbFGiUbBkoMN5WeMFgDk/byPtLfWoq+ua7FdnebiPm3XnigBIG7y7HPWrSupxqLLxd1Jqb0YPc2vqkNt33QRo76qYUTgcn3Sr7QxR1dajb6q+Z8fo1EdW3n6J9ouwn0a8UUriC1YYpRoHDw1beqM0QKAfXk/szbtLer01S22q9Vp2j/Y05RoTwAwO27yOetW15VgdsYORx3V6aMHdboqVGr7JnVq9VUA7TayYK60oVpXSt3Jdpv29+/IibnKttk6F6KiNp+Fh6dRqs0k2OV6ru/2Ybv3IRpIoiFEB+YwshvmXeypjMuhMjEPm94eVCcXoonJxMzdFsexgUb1NbFZpLy8EoVaid9rE3AaF4S5lz1KKzMUCgXpH2wg69vtYGinAPXNN2Q4ed1lSghKi7N/zCgtmn5Zb0753hPk/xbdtvgA9zv7tdtIiNrOEpWjFbrSarSZpaj7eDapo80uA8Ciq2O79HmpWfo4UllajTarFJvgll+f2sn6sk2mhGl1cxiJvXkXcirjyKtMxMOmN4XVyWRqYrA1cyfQ0XiaVJYmlpUpL6NUqJng9xpBTuOwN/fCTGmFQqFgQ/oHbM/6lvb6YDOgb/66oeF6iMsU1Mqz/+yrzlF+yonyvUTn/9a2AIF+7ne220iIpdoOK5Uj1bpSSrWZeKr7NKlTps0GwNGi9bsWno2jpQ/VlaWUarPwtGk68n2qP2u1U7tPm9LUFbLw8G0U1aTQy2kiN/f4ttmdr0T7kERDiA5MoVTidnMYWd9up2BxDDZvTCJ/SQwArjf2RaE2/nAsWnX4/9u77/i26oPf4x9JljxkyXuPDJI4Ic4kgxAaIA2EsguBhLbADdxCWqBQ6NOnXHqhu7d9Xh1AoKWM5KHwFCiE1YQZSLO3QxJnecZ7yLZsyUO2Zd0/TEwUyYmdCJyQ7/s/6fc753eOLEv6nvMb4PORevtM0pfMDthfxyAXUTNYevfvPeoq9tE8lc1Bnw9Ps9NR2kjm/RcRlROaWTw6Shr7BsAPhn3W8JB2uYrOTaN5fTHuTyuxBgka7rxKAKy5gWVnAuuENFr3VuPeVUn8ZYGTELh3ndnnJ0PPaDAyKekG1lUuJa/+VS63PkpeXe/djImJ3/RbMA1gX8MqfPiYmXo7s9OXBOyvsaN0UO2bDL134jr7GW/Q7KkM+rw9PI3GjlIuyryf5KicQbXZn8aOkr4B8IMx3D4rpF2u0qJzKW5eT6X7U1KtgUGj0t37vZNqzQ1Ne9YJVLfupdK9i7HxlwVpb1dI2zuitauB/86/ifr2AsbEfp0bx/w14P0moaVXV+Q0l3TTZCqXrsPxxh6yH5qH4/XdQPBuU30zIqUH3vruamjFua5oUG1bUnv3017kCFretPpQ0Odj546m5vktNPwrP2RBI3nhlJDNHnUq4ubn0Ly+GMeKPaTc7D93v8/bg+Pt3ukY4y8fNxSHd8riLhtL3T920vDWXrIevCRgLQ3Hit7335l6fnJ6mJx0E+sql7LH8Qbzsh9it+P13ueDdJs6MiOSPTw9oKy1q4Ei57pBtW239IZkR3vwz8NDTauDPj86di5bap4nv+FfIQsaU5IXhmz2qFOREzef4ub17HGs4LyUm/3Kenxe9jreBmBc/OUhaW9s3GXsrPsHexve4pKsBwPuKOx2rAhpe9A7xmd5/k3UtR9kVMzFLMx5RoO/vwRaR0PkNBd5TiK2aVl01bs5/KsP6KxuCVg74+i6APWvfeo365HX7aHogTfxNncMqu3oyemYosNpP1iH4809fmU1y7fSuHJf0O3Sl8zGZAun8ol11Czfgq/bG1Cn7WBd7x2YM0zywimYk6Np2VhCzfItfmWHf/MhntJGrLlpxM4NnP1r58w/sSnjUepeyftSjvVk2oubN5qocSl0lDZS9tuP/Mqql22hZVMp5lQbSQsnh/ho5WySGHkOWbZpuLvq+eDwr2jprA5YO+PougCf1r/mN+uRx+vmzaIH6PAGv7Pan/ToyYSboqlrP8gex5t+ZVtrlrOvcWXQ7WanLyHcZGNd5RNsqVmO97PB6EerazvIvoZVgzqe08GU5IVEm5MpadnIlprlfmUfHv4NjZ5S0qy5jI6dG7Dtn3bO5NFNGeTVDXwV79Fx80iJGkdjRykflf3Wr2xL9TJKWzZhM6cyOSkwhC3LX8CjmzL4pPwPA26vrauJ/953E3XtBzgnZg6Lxj53wu5vEhq6oyFyBki6aTKu7eW9i98RuHbGEckLp1D97GZa91Szc9Zj2Gdk4/P5cG0+jMFiImnRFOpfHviPTlOkhcwfXsThX35AwT2vU7N8K+akaNoO1OIpd5L+/dlUPbUhYLvwjBhynruZQ3e+QsnDq6h4fB1RY5IwJ1rpbu6g7UAdnVXNJFyTS8IVgbfpT2cmazijn7qRA995kZKHV1H3yi4iRsTTtq+W9oJ6wuKjGP3kgqCrAx8Zu2IIstL78RQ/9C9a9/QukHdkIL/ncBN7rnqmr07yt6aS8q1j7rCcRHsGo5HRTy0g//plVP1lA00fHSLq3BQ6Shpp3V2FMcLMmL/c+IWuwyJnh8lJN1Hu2s6Wmuf6HgczJXkhm6ufpbp1D4/tnEW2fQY+n4/Drs2YDBamJC0ir/7lAbdrMUVyUeYP+eDwL3m94B621iwn2pxEbdsBnJ5yZqd/nw1VTwVsFxOewc05z/HKoTtZVfIw6yoeJylqDFZzIh3dzdS1HaC5s4rchGs4N+HEA8ZPJ+EmKzeOfooXD3yHVSUPs6vuFeIjRlDbto/69gKiwuJZMPrJ4J9rn41dMRkGPqmH0WBkweinWJZ/PRuq/sKhpo9IiTqXxo4Sqlp3YzZGcOOYvwRdF+VIe8ZBdHl6u/g/qG3bjwEDkWGx/Kv4J0HrhXLsi/RS0BA5AyRck0vpI+/R09EVdO2MI8JiI5n47p2U/f5jmtcV07T6EOYEK/FXjCPrR3OpfXH7oNtOXzKbsNhIqp/bgnt3FcaIMGznZTHq8evpae8KGjQAYmaPYNInd1Pz/BaaVhfg2lmBr7sHS1I0EcPiSL1ter/T357uYmYNZ+L7S6j48xqa15fQdqAWc2I0Kd+ZRuYDF2NJsQVs09XQSmd1C2EJVuIvG1y3i/aCetx5FX7P9XR0+T137MQAp9Je1JhkJn30PSr+9G+aPi6g8d39hMVGknj9RDLvv6jvzpnIqchNuIb3Sh+hq6cj6NoZR0SGxXLnxHf5uOz3FDev41DTaqzmBMbFX8HcrB+xvfbFQbc9O30JkWGxbKl+jir3bsKMEWTZzuP6UY/T1dMeNGgAjIiZzd2TPmFLzfMUNK2mwrWTHl830ZYk4iKGMT31tn6nvz3dDY+ZxZKJ77Om4s+UNK+ntu0A0eZEpqV8h4szH8BmCbyL3trVQEtnNdawBHKCjLU4nuSoMXxv0kf8u+JPFDR9zP7Gd4kMi2Vi4vVclHl/352so/X4vNS27SfMEM6kpBsG3NaR7nc+fOxteLvfeqEe+yIKGiJnhDBbBDOLfjqguubEaM75/TVBy7IevISsBwMXvjrR+IfkRVNJXjQ1aNmsyp/3u50l2Ub2T+aR/ZMvbhGtoRI5KpHRSwc+73rzumLw+ci8bw6m6MHdsh//2uLBHt4ptQe943NG/u7qQW8nMlARYTZ+OnNg48aizYlcc87vg5ZdkvUgl2Q9GPD8icY/TE1exNTkRUHLfj4r+IBwAJslmXnZP2FedvCr4meyxMhRLBi9dMD1i5vX4cPHnMz7CD+JaWjtllSuHvm7AdevdOfR4W1hVtp3+13FPJjF418b9LFJaChoiIgco2VbGYX3vwFA5oMXE5F16quAOdcWEZ4dR8ot0055X6dje55KJ+X/9QnQ+/qJyOmlrGUbbxTeD8DFmQ8SF3HqU9UWOdcSF57NtJRbTnlfA2tvHeEmG3MyfvCltOf0VPJJ+X8Bva+fDJ6ChojIMTyljdR/NhVw6uIZEIKgMeqP153yPk7n9rqb2k9q+mER+XI0ekpprC8FYEbqYuI49aBx3ag/nvI+BuPirB9ycdYPv7T22rubTmr6YfmcgoaIyGdOlyl0z0TW3LTjdqMTkaFxukyheyZKs+YetxudnJimtxURERERkZBT0BARERERkZBT0BARERERkZBT0BA5g+QvWMamjEdp3lgy1IciX6C6V/LYlPFo38xXX7byP3zCpoxHKf/DJ0PSvsgRR1aBLmneONSH8pX0SfkfBr3K9unWZknzRh7dlMGy/IFPNy5fHgUNEREREREJOc06JSJymon/xjhs52ViskUM9aGIyFfYjNTF5CZeS1RY/BnbZkb0FO6Z/G/MxsiQ7E9CS0FDROQ0E2aPIMyukCEiXyyrOR6r+csLGV9EmxZTJEmRo0K2PwktBQ2RIeZt66T2hW00rNxHe6GDns5uLMk2rBPSSF44hbivjznhProaWnG8sZumTwrpKHLQWefGaDEROSqJpAUTSbllOgZTYE9JV14FVX/ZgGtHOd2OVoyRZsISrERPziDl5qnEXDiyr25PRxfVz26m4Z182osb8HV7CYuNJDwzlpgLR5J53xyMEeaQvjYna89Vz+DOqyDn+ZuJnz82aJ3SX7xP9dMbSbvrAoY/Mt+vzLmmkJrlW3HnVdDd3EFYXCT2WcPJuHcO1nEpfnU7ypvIO//PhGfGMmXDD6h+djP1r31KR2kjBrOJGfsfAqC90EHlE2tp3lRKV50bg8WEOS6KqNxUkq6fRMKV5/bts+6VPIoeeJOkGycz6s/fDDh2T2Uz1c9swrmmEE+FE4PJiCXVhv2CEaTeNp2osf7H2Hawjson19OysYSuhlZM1nCip2SQungmcXNHD/r1bfroEDXLt+DeVYXX7cGcaCVm9gjS7/kaUaOTAurvnPknPBVOpmy+n7b8Gqqf3Uzrvhq8zR1MfH8J1ty0QR+DnLk6vW1sq32BfQ0rcbQX0t3Tic2STJp1AlOSFzIm7usn3EdrVwO7HW9Q2PQJjo4i3J11mIwWkiJHMTFpAdNTbsFoMAVsV+HKY0PVXyh37aC124HZGIk1LIGM6MlMTbmZkTEX9tXt6ulgc/Wz5De8Q0N7MV5fN5FhscSGZzIy5kLmZN6H2Xh6XBB4Zs9VVLjzuDnnecbGzw9a5/3SX7Cx+mkuSLuL+cMfAXrHS6yp+CMXZz7AJVkP9tXNq3uFN4seYHLSjcwf9ghrKv7EwaYPcXXWMDp2LjePfR4Aj7eVtRWPk9/wNi2dNVjNCYyNm88lWT/i/cM/Z1f9P7nunD/6reMxkDavGPEr1pT/iX2NK3F11hIVFk9O/KV8Pes/iTL7L6Ba0ryR5ftuZLh9FovHvxZw3m1djWyufo6DTR/S5DlMj8+LzZJCtm0656V8m2zb9L66Fa6d5DespLRlI82dVXR0NxMVFk+W7TwuSF9Clu28k/jrnN0UNESGkKfCyb5v/Z2OIgdGqwX7jGxMtgg6q5pxflJId2PbgIKGc00hpY++hyXNTsSIBKKnZtJV58a1swL3wxU41xaT89wiDAbD59usLeLArS/h6/JizU3DPi2bnm4vndUtNK7cR1h0eF/Q8PX0sP/Wl2jZUILJHoH9/GGY7BF01bvpKGqg8vG1pC6egeU0CRpJN03GnVdB3at5QYOGz9uD443dACTfNNmvrOSRVdQ8twVDmBHrpAzsaXY6ShtpeGsvje8fIOdvC4P+TXw+Hwe/+wrONYXYZw4jckwSnZXNALTuryX/uufwuj1Ejkok+tIxgIHOmhaa1xTR09HtFzSOx/nvQg7d9Spelwdzqo3Yi0eBwYCnrInaF7djTrT6BY3GDw5waMk/8Xm6icxJxjZzGJ3VLTjXFOL8uICM++aQ/eMT/7A74vBvP6Rq6XowGrDNyMaSaqdtfy31r32K41/55Dy9kLh5wd+z1U9vpGbZVqKnZBB7yWg6q5rBaAhaV76anJ4K/r7vWzg6irAYrWTbZxBhstHcWUWh8xPauhsHFDQKnWt4r/RR7JY0EiJGkBk9FXdXHRWunVS4H6bYuZZFOc/5feYVOdfy0oFb8fq6SLPmkm2fhrenm5bOavY1riQ8LLovaPT4enhp/62UtGwgwmRnmP18Ikx23F31NHQUsbbycWakLsZsOT2CxuSkm6hw55FX92rQoNHj87Lb0Tu5xOTkmwa837auRv6250o6vC0Ms80k3Tqx74e+x+tmWf4Cqlv3EG6yMTr2EgwGE3sb3qKweQ3JkTkndS4d3S6e23sdLZ3VDLOdT3JUDmUt29he+3cq3bv4bu47mIwD+66pbt3LS/tvxdVVS2RYLMPtswgzhuP0VLLH8RaAX9BYXf47Sps3kRQ1hozoyYQZLDjai9nXuIoDje+zYMyTjE+4+qTO62yloCEyRHw9PRy842U6ihzEzR/LqD9eR1js531MvW4P7ryBrUhqnZhO7jvfxTY10+/5zloX+295kab3D9Dwdj6J1+b2lVU+sQ5fl5fRTy4g8boJftt1NbbhqXD2PXZtLaNlQwnWCWmMX3E7pijL5+fh8+HaXo7JFj7gc89fsIyWTaUDrn/EQFeeTrw2l9Kfv4dzdQFdja2Y461+5c41hXTVubFOTPf7UV7zwjZqnttCZE4yOX+7ichRn1+db3xvP4fuepWCe19n6sb7/f5WQF+omPTx3USOSPArq35mE163h+yffJ2Me+f4lXlbPbTtrxvQeXkqnRy681W8bg9Z/zGXjHsuxBBm8ivvamj7/JjqXBT+YAU+TzfDHplP+l0X9JU1byzhwK0vUfnYWuwzhvUGlhNoWn2IqqXrMUZZGPf3b2M/f3hfWeVf1lP2qw8puPd1pqy7F3NidMD2tX/fztj//na/QUS+2np8Pbx88A4cHUWMjZvPdaP+SGRYbF+5x+um0p03oH2lWyfy3dx3yLRN9Xve1VnLi/tv4UDT++Q3vE1u4rV9Zesqn8Dr62LB6CeZkHid33ZtXY04PRV9j8tcWylp2UCadQK3j1+BxRTVV+bz+Sh3bSfcZBvwuS/LX0Bpy6YB1z9ioKtS5yZey3ulP6fAuZrWrsaArkmFzjW4u+pIt04kJSr4Xd5gDjlXc07MRSzM+RvhJv//6Y/Lfk916x7SrBO4Zdz/9LXZ0e3iHwcXc6Dp/QG3c7QDTe8xOnYud+S+Rbip97O7pbOGZ/dcTXXrHvIb3mFi0vUn3I/H28r/HPhfuLpqmZZyC5cPexSz6fPP7dauBhztRX7bXJC2hBtGLSXa4n9n9mDjB7xy6E7eKf4Jo2PnYTFpPMhAKWiIDJGmDw7Surea8KxYRj+5AFOk/xUaU3Q4MV8b2c/W/oJ1VwGwpNgY9tPL2H/zCzSs9A8aXQ43ALGXBP7ANMdHYY7//Iu1q74VANuMYX4hA8BgMGCfnj2g4zwi9uJRhGfGDmqbwQiLiSR+/lga3tqL4409pN1xvl95/au7gN47H0f4vD1U/PnfAIz5641+IQMg/vJxJH9nGrXLt1K/4lPSbvffJ0D2Q/MCQgZAV/2R1zqwm5LJGo5tWtaAzqvq6d7AknBNLpn3XxRQHp4RS3hGbN/jupd24HV5sE3P9gsZADEXjCD19plUPbmeqr9uGFDQqHq6d4rRtDtm+oUMgIzvXUjjqv24d1ZQ+9IOMu8LPL6khVMUMs5iB5s+oLp1L7HhWSwY/aTfjz6AcFM0I2O+NqB9JUUF7/Jns6Rw2bCf8sL+m8lvWOkXNNxdDgBGxV4SsF2UOZ6oo36ct3bVAzDMNsMvZEDvZ162fTqDMSr2YmLDM09c8SRFhsUwNn4+exveYo/jDc5Pu8OvfFf9q0DvnY/BMBnMXD3ydwEho9Pbzs66fwDwjeG/8As2EWE2rhzxG576dC4+fIM+F4vRyrXn/KEvZADYLanMSF3Mh2W/prh5/YCCxs66/6Gls5qs6PO4asRv/e5uAVjNCVjN/p/Xo+MC3xsAOfGXcW7CVexxvEFpywbGxM0b9HmdrRQ0RIaI85NCABK/OTEgZJwMX7eX5g0luHaU01XnpsfTDb7eK+YAHcUNfvWjJ2fQfqiegnteJ+MHc7BNzQw6jgPAOiENTEbqXt5J5MgE4q88F0tS4BXrgcq4Z2A/Jk5F8k1TaHhrL/Wv7vILGt3Odho/PIjBYvK7k9OaX0NXrYvInGSixiQH3WfM+cOpXb4V144K0m4PLI+/fFzQ7aKnZOD8uIDin/yLrB/PxT5zGMbwwX/8Otf0vmeSb556gpq9WjYfBiDpxklBy5MXTqHqyfW0bCvD5+3p9+8Pve8v1/by3v3dNKXf/bl3VvTerQoSNOK/Efz1kbNDobN3XZaJid8MCBknw+vrpqR5A+WuHbi76uju8QA+PN7eCyMNHcV+9TOiJ1PffojXC+5hTsYPyLRNDTqOAyDNOgEjJnbWvUxC5EjOjb8y4Cr3YHwt456T3nagpiTfxN6Gt9hV/6pf0GjvdnKw8UNMBkvAnZwTSbPmEhcReCGkunU3nT1txFjSGWafEVCeHDWGlKhzqWnLH/R5pEdPxGYJ/AxO/GzAt6uzdkD7KWxaA8CU5EUBIeN4WrsaOdT0IXVtB+nwttDj6wagru0AAI72YsbEHW8PcjQFDZEh4ql0AhA5KvGU99Ve5ODgHS/TXlDfbx2v2+P3OPuhebTtq8X5cQHOjwswRpqxTkonZvYIkm6YRMSwo65QDY9n+M/mc/iXH1Dy8EpKHl5J+LA4bOdlET9/LPHfGHfcH6lDIWbOSCxpdlr3VtO6v7ZvELfj7b34PN3EX3Eu5rjPr1R6DjcB0H6wjk0Zjx53390NrQHPmROt/QbG9O/NxrWljOb1xey/+QUM4WFYz03FPmsYiddPChhg3p/Bvmc6a1oACM8K/q0YnhULRgO+jm66m9qCdnc6oqupHZ+nG4wGwjNjgu8vO+6zdl3By7/Au1hy+nN6ersBJYZghiBHexEvH7yD+vaCfut4vG6/x/OyH6K2bR8Fzo8pcH6M2RhJunUSI2JmMynpBuIjhvXVjY8YzvzhP+ODw79kZcnDrCx5mLjwYWTZzmNs/HzGxX+j35AyVEbGzMFuSaO6dS+1rftJsfYG+72Ot+n2eTg3/oqAgdQnEtPPXZiWzprjlgPEhmeeVNCIsaQHff7IXZVunydo+bGcnb1d4QbzfttW+3feL/05XT3t/dY59n0lx6egITJUBnGF5UQO3fUq7QX1xF2WQ/r3LyRyVCJh9ggMJiPtRQ52zXmCY+9gW5JtTHj3Tlo2luJcV4RrWznuvEpcmw9T+dhaRv7uapIXfX7lPO3280m4ajyN7x3Ata0M19YyHCt241ixm6jxqYx/fTFhA1z3oXLpOtoLHYM+z2AzMPXHYDSSdMMkKpeuo/7VPKyPXg5A/T93AYGDwH09PQBYUu0n7LIW7If+8WbcMkVaOPeV23DtrMC5pgDXtnJcO8px51VQ9dQGMn90CVk/vPjE54ThJDoiMKireQPc4UltZozQV87ZzEDo3oevHrqL+vYCcuIu48L075MYOYqIMDtGgwlHexFP7JrDsR96Nksyd054l9KWjRQ511Hu2kalO4/Drs2srXyMq0f+jqnJi/rqn592O+MTruJA43uUubZR5trKbscKdjtWkBo1nsXjXycibGDjNNZVLsXRXjjo8/zmqD8PuK7RYGRS0g2sq1xKXv2rXG7tvWCyq/6fwOAGgR9xolm1jvc3NRhO7uLTyW4XsJ9Bvt8q3btYWfwQRkMYlw37v+TEzcNuScdsjMRgMPBR2W9ZV7mUgC9TOS596osMkfD03qvC7UWD/8F9tPbCetr212JOtJLz7KKAOwsdpY39bmswGom5cGTf7FLetk5qlm2h7DcfUfzwSuKvPNcvPFiSbaTeOp3UW3v7J7fm11B43wra8muoWrqe7IcG1m/VuabwpAaDDyZoQO8YjMql63C8sYdhD19KR2kT7p0VmJOjA8amWD77e5hTogfdzkDZpmb2Ddjv6ezG8cYein/8NhV/WEPi1bknvFNhyYiho8hBR1FD3/vnuPVT7bQXOugoaySGwPDkKXdCjw9DRFjA4PZjmeMiMYSH4fN04yl3EjkycCyKp6zps3YHPkhWzh4x4b1Xqo8dgDtY9e2F1Lbtx2pOZFHOswF3Fho7Svvd1mgwMjLmwr7ZpTq9bWypWcZHZb9hZfHDnBt/pV94sFmSmZ56K9NTbwWgpjWfFYX3UdOWz/qqpczLfmhAx1zoXHNSg8EHEzSgdwzGusql7HG8waXDHqapo5QK906izclBx6acLJul9y7s0QPoj+X0lIesvZMRY8mgvr0AR3tR0O5dx9rXsAofPmam3s7s9CUB5cd7X0n/FDREhkjMxaOofXE7jhW7yfzBya9B0d3Ue4vXnGIL2n3pyDSuA2GKspBx99eoWbaVzuoWOooaiJ6c0W996/hUUu+YSfGP3qZ1X82A2xn/2uIB1z0VkeckYpuWhWt7Oc5PCvvGGCR+c6LfbE3QO2YlLC6K1r01tJc0BB3UHUpGSxjJC6dQ9/JOXFvLaNtfe8KgEXvxOdQUOaj9x44BTRRgP38YzeuLqX/tU1K+PS2gvO7V3hl+7NOzA16PYxnCTNimZdGyoYT613YFnRK37rNB9vZZw094bHL2GRVzMdtrX2S3YwVzMn9w0mtQtHf3BlqbOSVo96Uj07gOhMUUxdcy7mZrzTJaOqtp6CgiI3pyv/VTreOZmXoHbxf/iJrWfQNuJ9j6Dl+ExMhzyLJNo9y1nULnJ5S7tgO942JMhtD95Eu3TsJsjKS5s5Jy13aybP6fL/XthYN6fb4I58ReRGHzGvLqX2bqAMZptHc7AbCHB3bdau1qoMi57os4zK+806tTtchZJH5+DlHjU/GUOym493W6Wzr8yr1uD83rivvZ+nMRIxPAaKD9YB0tm0v9yupeycPx5t6g21X9dQOez6ZkPZr700o669xgNGBJtwPQvL6YptWH8HV7/er6vD04P+7tI3269r8/MrNU3St51L/+KRDYbQrAaDaRef8c8PZOO+zKC7xS19PZTeMHB2gv7H8sTDA1y7cG7SrWcbiRtkO9+7L0M+7haOl3XoDRaqHhrb1UPrEWn7fHr9xT2Yx7d1Xf4+Rvn4cpOhzX1jKqn9vsV7dlcyk1z28FIO2YGamO1z5A9bObadlW5ldW9fRG3DvKMdkjSP6WFrWSQDnx80mNGo/TU87rBffS0d3iV+7xuiluPvGPuYSIkRgwUtd+kNIW//d1Xt0r7HW8GXS7DVV/pdkTOF1spftT3J11GDBi/2x8QHHzeg41rcb72UDgI3p8XgqcHwN8obNInYojM0vl1b3Cp/Wv9z53Et2mjsdiimTKZ93MVpU8QlvX53fOPV43K4v/Dz56+tv8S3FeyrewmVMpd21nVclP6erx/45t7WrgcMvWvseJkecA8Gn9a30TCkDv+bxZ9AAd3sDvSzkx3dEQGSIGo5GcZxex/+YXaFy1n+a1xdhmZGOyhdNZ1UJrfg3Rk9JPeOXanGAl9bbp1CzbSv6Ny7GfPxxzcjRtB2ppP1BHxj1fo3Jp4Jd3xWNrOfzLD4gcnUTk6EQMljA6q5p7r/r3+Ei/50Isyb1dCNr211L6s/cw2SOw5qZhSYnG296FO6+SrloX5uRoMu6+MKCN00HCNbmUPvIeje/uBwhYO+Noaf97Fp6K3lW39171DFHjUogYHo/BbKKzpoXWvTX0tHUy9sXvBEx/ezy1L+3oG0AflZOMyWqhs86Na1sZvk4vCdfmYpty4h8t4ZmxjPnrTRxa8ipl/281Ncu3ET01AzDgKW+iNb+GzPsvInpi748lS7KNUY9fz6Hv/ZPSR96l7h87icxJpqvWRcuWw9DjI+O+OcQFmXY3mLh5Y0i/+0KqnlxP/vXPY585DHOKre+9ZogIY/Tj15/SjGTy1WU0GFmU8ywv7L+Z/Y2rKG5eS7ZtBuEmGy2dVdS05pMePemEU9xazQlMT72NrTXLWJ5/I8Pt5xNtTqa27QB17Qf4WsY9n/Wl97e24jE+OPxLkiJHkxg5mjCDhebOKspd2/HRw4Xp9/TNdlTbtp/3Sn9GhMlOmjWXaEsKXd52Kt15uLpqiTYnc2HG3V/I63SqchOu4b3SR9jf+C7AoNfOGKivZ/0nZS1bqWr9lMfyZjPcfgFGg5HSls1EmOzkxF3GwaYPMBksJ97ZFyDcFM3NY5/npQO3srV2OXsb3iLLNp0wYzjNngqqW/OZkHhtX7eqKckL2Vz9LNWte3hs5yyy7TPw+Xwcdm3GZLAwJWkRefUvD8m5nMkUNESGUER2HBPfX0L181toXLWv98ef14c5OZq4eWNIXhh8GtFjDf/FN4gal0LtC9tx76rEYDYSPSGdYS9eRuSoxKBBY8Svr6R5bRHu3VU0byylp6MLS7KNuEtzSL1tOrEXfT6GIe7SHLpbOmjZfJiO0kZcO8oxRVkIz4gh5ZZppN46HXOCNaCN00GYLYL4K8bhWNHbhSwpyN2Mow3/2eXEXz6Wmhe24dpWTtPqQxgjzFg++5vEXZaDfeaw4+7jWNk/nkvTR4dw5VXg2l6O1+3BnBiN/fzhpHzrPOKvHPi0r3FzRzPpo+9T9fRGmtcU0rS6AKPFhCXNTsqt00m4erxf/fj5Y5m46k4qn1xP88YS2lfuw2S1EHvROaQunjmgleePNuz/XIp9ejbVy7fSuqsS7/ZyzAlWEm+YRMY9F/Y7NbAIQFxENksmvs+W6ufZ17iKwy1b8OEl2pzMmLh5TEleOKD9fGP4L0iJGsf22heodO/CaDCTHj2By4a9SGLkqKBB48oRv6aoeS1V7t2UNm+kq6cDmyWZnLhLmZ56G6NiP5+SOSfuUjq6WzjcspnGjlLKXTuwmKKICc9gWsotTE+9NWANhtNFRJiNcfFXsNuxAhj82hmDaef23BX8u+Ix8hveocD5MVZzPOcmXMncrB/zWsH3APzWJ/myZURP4vuTVrOp6hkONX1IcfNaDBixWVKYkHgd01K+01c3MiyWOye+y8dlv6e4eR2HmlZjNScwLv4K5mb9iO21Lw7ZeZzJDD6fT8PnRUJo586dnHfeeUx47y6iJwSfpk9EBsa9p4o9lz/Njh07mDp1YOuHyJfnyOfdXRPeIz16wok3kLNCR3cLf86bRUd3M/8x7dPTNpR90arce3h6z+Vn9eeXxmiIiIiIyKBVuXfT4/Mfi9HW1cibRQ/Q3u1kdNzXz9qQIb3UdUpEREREBu0fBxfT4/OSHJVDVFgC7q46qlv34vG6sFvSuHLEr4f6EGWIKWiIiIiIyKDNSruLg00fUNd2iPZuJ0aDibjwbMbEzeOC9Lt0N0MUNERERERk8C5Iv5ML0u8c6sOQ05jGaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMhpHQ2RL0h7gWOoD0HkjKf/ozODo71gqA9B5LSj/wsFDZGQS0xMJCIqksJ7Xx/qQxH5SoiIiiQxMXGoD0OCSExMJDIiitcL7x3qQxE5LUVGRJ3Vn18Gn8/nG+qDEPmqKSsrw+HQlViRUEhMTCQ7O3uoD0P6oc87kf6d7Z9fChoiIiIiIhJyGgwuIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIh9/8BVW3/prmo6FIAAAAASUVORK5CYII=", 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" + "cell_type": "markdown", + "metadata": { + "id": "FIJAMH-GWnSc" + }, + "source": [ + "### Sensitivity Indices\n", + "\n", + "Next, we wish to quantify how important individual hyperparameters are to determining testing accuracy. To do this, we compute the sensitivity indices of our hyperparameters. In QMCPy we use the `SensitivityIndices` class to compute these sensitivity indices." ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "best_kwargs = {name:val for name,val in zip(hpnames,xbo_best)}\n", - "best_kwargs['max_depth'] = int(best_kwargs['max_depth'])\n", - "print(best_kwargs)\n", - "dt = DecisionTreeClassifier(random_state=7,**best_kwargs).fit(xt,yt)\n", - "yhat = dt.predict(xv)\n", - "accuracy = mean(yhat==yv)\n", - "print('best decision tree accuracy: %.1f%%'%(100*accuracy))\n", - "fig = pyplot.figure(figsize=(10,15))\n", - "plot_tree(dt,feature_names=feature_names,class_names=target_names,filled=True);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Feature Importance\n", - "\n", - "With the optimal DT in hand, we may now question how important the Irises features are in determining the class/species. To answer this question, we again perform sensitivity analysis, but this time we select a uniform measure over the domain of Iris features. Our output which we wish to quantify the variance of is now a length 3 vector of class probabilities. How variable is each species classification as a function of each Iris feature?" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "scrolled": false - }, - "outputs": [ + }, { - "data": { - "text/plain": [ - "Data (Data)\n", - " solution [[[0. 0.049 0.05 ]\n", - " [0. 0. 0. ]\n", - " [1. 0.301 0.279]\n", - " ...\n", - " [0. 0.396 0.409]\n", - " [1. 0.999 0.999]\n", - " [1. 0.775 0.768]]\n", - " \n", - " [[0. 0.225 0.232]\n", - " [0. 0. 0. ]\n", - " [1. 0.605 0.592]\n", - " ...\n", - " [0. 0.699 0.721]\n", - " [1. 0.999 0.999]\n", - " [1. 0.951 0.95 ]]]\n", - " comb_bound_low [[[0. 0.048 0.05 ]\n", - " [0. 0. 0. ]\n", - " [0.999 0.301 0.278]\n", - " ...\n", - " [0. 0.395 0.408]\n", - " [0.999 0.999 0.999]\n", - " [0.999 0.775 0.767]]\n", - " \n", - " [[0. 0.224 0.231]\n", - " [0. 0. 0. ]\n", - " [0.999 0.604 0.591]\n", - " ...\n", - " [0. 0.698 0.721]\n", - " [0.999 0.999 0.999]\n", - " [0.999 0.95 0.949]]]\n", - " comb_bound_high [[[0. 0.05 0.051]\n", - " [0. 0. 0. ]\n", - " [1. 0.302 0.279]\n", - " ...\n", - " [0. 0.397 0.41 ]\n", - " [1. 1. 1. ]\n", - " [1. 0.776 0.769]]\n", - " \n", - " [[0. 0.225 0.233]\n", - " [0. 0. 0. ]\n", - " [1. 0.605 0.593]\n", - " ...\n", - " [0. 0.699 0.722]\n", - " [1. 1. 1. ]\n", - " [1. 0.952 0.951]]]\n", - " comb_bound_diff [[[0. 0.001 0.001]\n", - " [0. 0. 0. ]\n", - " [0.001 0.001 0.001]\n", - " ...\n", - " [0. 0.002 0.002]\n", - " [0.001 0.001 0.001]\n", - " [0.001 0.001 0.002]]\n", - " \n", - " [[0. 0.002 0.002]\n", - " [0. 0. 0. ]\n", - " [0.001 0.001 0.002]\n", - " ...\n", - " [0. 0.001 0.001]\n", - " [0.001 0.001 0.001]\n", - " [0.001 0.002 0.002]]]\n", - " comb_flags [[[ True True True]\n", - " [ True True True]\n", - " [ True True True]\n", - " ...\n", - " [ True True True]\n", - " [ True True True]\n", - " [ True True True]]\n", - " \n", - " [[ True True True]\n", - " [ True True True]\n", - " [ True True True]\n", - " ...\n", - " [ True True True]\n", - " [ True True True]\n", - " [ True True True]]]\n", - " n_total 2^(18)\n", - " n [[[[ 1024 65536 65536]\n", - " [ 1024 1024 1024]\n", - " [ 8192 131072 131072]\n", - " ...\n", - " [ 1024 131072 131072]\n", - " [ 8192 65536 32768]\n", - " [ 8192 262144 131072]]\n", - " \n", - " [[ 1024 65536 65536]\n", - " [ 1024 1024 1024]\n", - " [ 8192 131072 131072]\n", - " ...\n", - " [ 1024 131072 131072]\n", - " [ 8192 65536 32768]\n", - " [ 8192 262144 131072]]\n", - " \n", - " [[ 1024 65536 65536]\n", - " [ 1024 1024 1024]\n", - " [ 8192 131072 131072]\n", - " ...\n", - " [ 1024 131072 131072]\n", - " [ 8192 65536 32768]\n", - " [ 8192 262144 131072]]]\n", - " \n", - " \n", - " [[[ 1024 32768 32768]\n", - " [ 1024 1024 1024]\n", - " [ 8192 131072 65536]\n", - " ...\n", - " [ 1024 131072 131072]\n", - " [ 8192 65536 32768]\n", - " [ 8192 131072 131072]]\n", - " \n", - " [[ 1024 32768 32768]\n", - " [ 1024 1024 1024]\n", - " [ 8192 131072 65536]\n", - " ...\n", - " [ 1024 131072 131072]\n", - " [ 8192 65536 32768]\n", - " [ 8192 131072 131072]]\n", - " \n", - " [[ 1024 32768 32768]\n", - " [ 1024 1024 1024]\n", - " [ 8192 131072 65536]\n", - " ...\n", - " [ 1024 131072 131072]\n", - " [ 8192 65536 32768]\n", - " [ 8192 131072 131072]]]]\n", - " time_integrate 8.221\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.001\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "SensitivityIndices (AbstractIntegrand)\n", - " indices [[ True False False False]\n", - " [False True False False]\n", - " [False False True False]\n", - " ...\n", - " [ True True False True]\n", - " [ True False True True]\n", - " [False True True True]]\n", - "Uniform (AbstractTrueMeasure)\n", - " lower_bound [4.3 2. 1. 0.1]\n", - " upper_bound [7.9 4.4 6.9 2.5]\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 2^(2)\n", - " replications 1\n", - " randomize LMS_DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order NATURAL\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 7" + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "lHv6U2Y6WnSd" + }, + "outputs": [], + "source": [ + "si = SensitivityIndices(cf)\n", + "solution_importance,data_importance = CubQMCNetG(si,abs_tol=2.5e-2).integrate()\n", + "data_importance" ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "xfeatures = df.to_numpy()\n", - "xfeatures_low = xfeatures[:,:-1].min(0)\n", - "xfeatures_high = xfeatures[:,:-1].max(0)\n", - "d_features = len(xfeatures_low)\n", - "def dt_pp(t): return dt.predict_proba(t).T\n", - "cf = CustomFun(\n", - " true_measure = Uniform(DigitalNetB2(d_features,seed=7),\n", - " lower_bound = xfeatures_low,\n", - " upper_bound = xfeatures_high),\n", - " g = dt_pp,\n", - " dimension_indv = 3,\n", - " parallel = False)\n", - "si_cf = SobolIndices(cf,indices=\"all\")\n", - "solution,data = CubQMCNetG(si_cf,abs_tol=1e-3,n_init=2**10).integrate()\n", - "data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "While the solution looks unwieldy, it has quite a natural interpretation. The first axis determines whether we are looking at a closed (index 0) or total (index 1) sensitivity index as before. The second axis indexes the subset of features we are testing. The third and final axis is length 3 for the 3 class probabilities we are interested in. For example, `solution[0,2,2]` looks at the closed sensitivity index of our index 2 feature (petal length) for our index 2 probability (virginica) AKA how important is petal length alone to determining if an Iris is virginica.\n", - "\n", - "The results indicate that setosa Irises can be completely determined based on petal length while the versicolor and virginica Irises can be completely determined by looking at both petal length and petal width. Interestingly sepal length and sepal width do not contribute significantly to determining species. \n", - "\n", - "These insights are not surprising or especially insightful for a decision tree where the tree structure indicates importance and the scores may even be computed directly. However, for more complicated models and datasets, this analysis pipeline may provide advanced insight into both hyperparameter tuning and feature importance. " - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "f4ENYO-oWnSd" + }, + "outputs": [], + "source": [ + "print('closed sensitivity indices: %s'%str(solution_importance[0].squeeze()))\n", + "print('total sensitivity indices: %s'%str(solution_importance[1].squeeze()))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "rG5v-lBNWnSd" + }, + "source": [ + "Looking closer at the output, we see that the second hyperparameter (`min_weight_fraction_leaf`) is more important than the first one (`max_depth`). The closed sensitivity indices measure how much that hyperparameter contributes to testing accuracy variance. The total sensitivity indices measure how much that hyperparameter, or any subset of hyperparameters containing that one contributes to testing accuracy variance. For example, the first closed sensitivity index approximates the variability attributable to {`max_depth`} while the first total sensitivity index approximates the variability attributable to both {`max_depth`} and {`max_depth`,`min_weight_fraction_leaf`}. " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "FxkD8CiIWnSd" + }, + "source": [ + "### Marginals\n", + "\n", + "We may also use QMCPy's support for vectorized quasi-Monte Carlo to compute marginal distributions. This is relatively straightforward to do for the Uniform true measure used here, but caution should be taken when adapting these techniques to distributions without independent marginals." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "riKBS3IAWnSe" + }, + "outputs": [], + "source": [ + "def marginal(x,compute_flags,xpts,bools,not_bools):\n", + " n,_ = x.shape\n", + " x2 = zeros((n,d),dtype=float)\n", + " x2[:,bools] = x\n", + " y = zeros((n,len(xpts)),dtype=float)\n", + " for k,xpt in enumerate(xpts):\n", + " if not compute_flags[k]: continue\n", + " x2[:,not_bools] = xpt\n", + " y[:,k] = get_dt_accuracy(x2)\n", + " return y" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "tdq8DBL7WnSe" + }, + "outputs": [], + "source": [ + "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(8,4))\n", + "nticks = 32\n", + "xpts01 = linspace(0,1,nticks)\n", + "for i in range(2):\n", + " xpts = xpts01*(hp_ub[i]-hp_lb[i])+hp_lb[i]\n", + " bools = array([True if j not in [i] else False for j in range(d)])\n", + " def marginal_i(x,compute_flags): return marginal(x,compute_flags,xpts,bools,~bools)\n", + " cf = CustomFun(\n", + " true_measure = Uniform(DigitalNetB2(1,seed=7),lower_bound=hp_lb[bools],upper_bound=hp_ub[bools]),\n", + " g = marginal_i,\n", + " dimension_indv = len(xpts),\n", + " parallel=False)\n", + " sol,data = CubQMCNetG(cf,abs_tol=5e-2).integrate()\n", + " ax[i].plot(xpts,sol,'-o',color='m')\n", + " ax[i].fill_between(xpts,data.comb_bound_high,data.comb_bound_low,color='c',alpha=.5)\n", + " ax[i].set_xlabel(hpnames[i].replace('_',' '))\n", + " ax[i].set_ylabel('accuracy')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JeKOmYKzWnSe" + }, + "source": [ + "## Bayesian Optimization of Hyperparameters\n", + "\n", + "Having explored DT hyperparameter importance, we are now ready to construct our optimal DT. We already have quite a bit of data relating hyperparameter settings to testing accuracy, so we may simply select the best configuration and call this an optimal DT. However, if we are looking to squeeze out even more performance, we may choose to perform Bayesian Optimization which incorporates our past metadata. Sample code is provided below despite not finding an improved configuration for this problem." + ] + }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "solution shape: (2, 14, 3) \n", - "\n", - "SI Closed\n", - "[[0. 0.04908409 0.05049225]\n", - " [0. 0. 0. ]\n", - " [0.99967739 0.30125221 0.27859386]\n", - " [0. 0.32358608 0.33400856]\n", - " [0. 0.04908409 0.05049225]\n", - " [0.99967739 0.45170218 0.43419784]\n", - " [0. 0.3959954 0.40918357]\n", - " [0.99967739 0.30125221 0.27859386]\n", - " [0. 0.32358608 0.33400856]\n", - " [0.99967739 0.77513307 0.7682392 ]\n", - " [0.99967739 0.45170218 0.43419784]\n", - " [0. 0.3959954 0.40918357]\n", - " [0.99967739 0.9993052 0.99928672]\n", - " [0.99967739 0.77513307 0.7682392 ]] \n", - "\n", - "SI Total\n", - "[[0. 0.22459549 0.23200145]\n", - " [0. 0. 0. ]\n", - " [0.99957471 0.60450383 0.59188948]\n", - " [0. 0.54868564 0.56664366]\n", - " [0. 0.22459549 0.23200145]\n", - " [0.99957471 0.67654515 0.6661002 ]\n", - " [0. 0.69852711 0.72138276]\n", - " [0.99957471 0.60450383 0.59188948]\n", - " [0. 0.54868564 0.56664366]\n", - " [0.99957471 0.95117562 0.9496174 ]\n", - " [0.99957471 0.67654515 0.6661002 ]\n", - " [0. 0.69852711 0.72138276]\n", - " [0.99957471 0.99944024 0.99945703]\n", - " [0.99957471 0.95117562 0.9496174 ]]\n" - ] + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "HbvpvURnWnSf" + }, + "outputs": [], + "source": [ + "x0 = data_avg_accuracy.xfull*(hp_ub-hp_lb)+hp_lb\n", + "y0 = -data_avg_accuracy.yfull.squeeze()\n", + "print('best result before BO is %d%% accuracy'%(-100*y0.min()))\n", + "result = gp_minimize(\n", + " func = lambda hparams: get_dt_accuracy(atleast_2d(hparams)).squeeze().item(),\n", + " dimensions = [(l,u) for l,u in zip(hp_lb,hp_ub)],\n", + " n_calls = 32,\n", + " n_initial_points = 0,\n", + " x0 = x0[:128].tolist(),\n", + " y0 = y0[:128].tolist(),\n", + " random_state = 7)\n", + "xbo_best = result.x\n", + "ybo_best = -result.fun\n", + "print('best result from BO is %d%% accuracy'%(100*ybo_best))\n", + "xbo = array(result.x_iters)\n", + "ybo = -array(result.func_vals)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "nSp41WVqWnSf" + }, + "source": [ + "## Best Decision Tree Analysis\n", + "\n", + "Below we print the configuration that rested in the best DT. We also print the optimal accuracy achieved (at this configuration) and visualize the branches of this tree." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "VrIa8imSWnSf" + }, + "outputs": [], + "source": [ + "best_kwargs = {name:val for name,val in zip(hpnames,xbo_best)}\n", + "best_kwargs['max_depth'] = int(best_kwargs['max_depth'])\n", + "print(best_kwargs)\n", + "dt = DecisionTreeClassifier(random_state=7,**best_kwargs).fit(xt,yt)\n", + "yhat = dt.predict(xv)\n", + "accuracy = mean(yhat==yv)\n", + "print('best decision tree accuracy: %.1f%%'%(100*accuracy))\n", + "fig = pyplot.figure(figsize=(10,15))\n", + "plot_tree(dt,feature_names=feature_names,class_names=target_names,filled=True);" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Z_oKFgVgWnSf" + }, + "source": [ + "### Feature Importance\n", + "\n", + "With the optimal DT in hand, we may now question how important the Irises features are in determining the class/species. To answer this question, we again perform sensitivity analysis, but this time we select a uniform measure over the domain of Iris features. Our output which we wish to quantify the variance of is now a length 3 vector of class probabilities. How variable is each species classification as a function of each Iris feature?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": false, + "id": "bpGVfa8rWnSg" + }, + "outputs": [], + "source": [ + "xfeatures = df.to_numpy()\n", + "xfeatures_low = xfeatures[:,:-1].min(0)\n", + "xfeatures_high = xfeatures[:,:-1].max(0)\n", + "d_features = len(xfeatures_low)\n", + "def dt_pp(t,compute_flags): return dt.predict_proba(t)\n", + "cf = CustomFun(\n", + " true_measure = Uniform(DigitalNetB2(d_features,seed=7),\n", + " lower_bound = xfeatures_low,\n", + " upper_bound = xfeatures_high),\n", + " g = dt_pp,\n", + " dimension_indv = 3,\n", + " parallel = False)\n", + "indices = [[0],[1],[2],[3],[0,1],[0,2],[0,3],[1,2],[1,3],[2,3],[1,2,3],[0,2,3],[0,1,2]]\n", + "si_cf = SobolIndices(cf,indices)\n", + "solution,data = CubQMCNetG(si_cf,abs_tol=1e-3,n_init=2**10).integrate()\n", + "data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "zZFa9hZ1WnSg" + }, + "source": [ + "While the solution looks unwieldy, it has quite a natural interpretation. The first axis determines whether we are looking at a closed (index 0) or total (index 1) sensitivity index as before. The second axis indexes the subset of features we are testing. The third and final axis is length 3 for the 3 class probabilities we are interested in. For example, `solution[0,2,2]` looks at the closed sensitivity index of our index 2 feature (petal length) for our index 2 probability (virginica) AKA how important is petal length alone to determining if an Iris is virginica.\n", + "\n", + "The results indicate that setosa Irises can be completely determined based on petal length while the versicolor and virginica Irises can be completely determined by looking at both petal length and petal width. Interestingly sepal length and sepal width do not contribute significantly to determining species.\n", + "\n", + "These insights are not surprising or especially insightful for a decision tree where the tree structure indicates importance and the scores may even be computed directly. However, for more complicated models and datasets, this analysis pipeline may provide advanced insight into both hyperparameter tuning and feature importance." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "NDYJTJL9WnSg" + }, + "outputs": [], + "source": [ + "print('solution shape:',solution.shape,'\\n')\n", + "si_closed = solution[0]\n", + "si_total = solution[1]\n", + "print('SI Closed')\n", + "print(si_closed,'\\n')\n", + "print('SI Total')\n", + "print(si_total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "p5IRANkHWnSg" + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + }, + "colab": { + "provenance": [] } - ], - "source": [ - "print('solution shape:',solution.shape,'\\n')\n", - "si_closed = solution[0]\n", - "si_total = solution[1]\n", - "print('SI Closed')\n", - "print(si_closed,'\\n')\n", - "print('SI Total')\n", - "print(si_total)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "qmcpy", - "language": "python", - "name": "qmcpy" }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.12" - } - }, - "nbformat": 4, - "nbformat_minor": 4 + "nbformat": 4, + "nbformat_minor": 0 } diff --git a/demos/qei-demo-for-blog.ipynb b/demos/qei-demo-for-blog.ipynb index a7dc6ad62..b9092f44b 100644 --- a/demos/qei-demo-for-blog.ipynb +++ b/demos/qei-demo-for-blog.ipynb @@ -7,6 +7,29 @@ "# QEI (Q-Noisy Expected Improvement) Demo for Blog" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/qei-demo-for-blog.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# @title Execute this cell to install dependancies\n", + "try:\n", + " import google.colab\n", + " import os\n", + " !pip install -q qmcpy >> /dev/null\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -40,12 +63,14 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -233,39 +260,33 @@ "name": "stdout", "output_type": "stream", "text": [ - "Data (Data)\n", - " solution 0.024\n", - " comb_bound_low 0.024\n", - " comb_bound_high 0.024\n", - " comb_bound_diff 8.33e-07\n", - " comb_flags 1\n", - " n_total 2^(22)\n", - " n 2^(22)\n", - " time_integrate 4.020\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", + "Solution: 0.0244 \n", + "CustomFun (Integrand Object)\n", + "Sobol (DiscreteDistribution Object)\n", + " d 5\n", + " randomize 1\n", + " graycode 0\n", + " seed [68566 92413 32829 13022 69017]\n", + " mimics StdUniform\n", + " dim0 0\n", + "Gaussian (TrueMeasure Object)\n", + " mean [ 0.807 0.371 1.204 -0.455 0.67 ]\n", + " covariance [[ 1.845e-02 -2.039e-03 1.150e-04 1.219e-04 -5.985e-03]\n", + " [-2.039e-03 1.355e-02 6.999e-04 -1.967e-03 2.302e-02]\n", + " [ 1.150e-04 6.999e-04 8.871e-02 2.043e-02 5.757e-03]\n", + " [ 1.219e-04 -1.967e-03 2.043e-02 2.995e-01 -9.482e-03]\n", + " [-5.985e-03 2.302e-02 5.757e-03 -9.482e-03 6.296e-02]]\n", + " decomp_type pca\n", + "CubQMCSobolG (StoppingCriterion Object)\n", " abs_tol 5.00e-07\n", " rel_tol 0\n", " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "CustomFun (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean [ 0.807 0.371 1.204 -0.455 0.67 ]\n", - " covariance [[ 1.845e-02 -2.039e-03 1.150e-04 1.219e-04 -5.985e-03]\n", - " [-2.039e-03 1.355e-02 6.999e-04 -1.967e-03 2.302e-02]\n", - " [ 1.150e-04 6.999e-04 8.871e-02 2.043e-02 5.757e-03]\n", - " [ 1.219e-04 -1.967e-03 2.043e-02 2.995e-01 -9.482e-03]\n", - " [-5.985e-03 2.302e-02 5.757e-03 -9.482e-03 6.296e-02]]\n", - " decomp_type PCA\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 5\n", - " replications 1\n", - " randomize LMS_DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order NATURAL\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 1084764658139426821181530528540663833\n" + " n_max 2^(35)\n", + "LDTransformData (AccumulateData Object)\n", + " n_total 2^(22)\n", + " solution 0.024\n", + " error_bound 4.15e-07\n", + " time_integrate 4.426\n" ] } ], @@ -308,12 +329,14 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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5JyIiIiIiIiIiUkYpeSciIiIiIiIiIlJGKXknIiIiIiIiIiJSRil5JyIiIlIBWAsJmd6OQkRE5I9JyHTGMpGKSMk7ERERkQogIRNmHYLYdG9HIiIi8vvNOQKbE7wdhYh3KHknIiIiUgHkFCssOAqp2V4NRURKmTFmuDFmbGJiordDEfnDrIVN8XA0zduRiJQ+Je9EREREKgg/A1lumH8UXHr0SKTCsNbOsNaOCQ0N9XYoIufEDSyM0U0oqXiUvBMRERGpQCyQlAWrj3s7EhERkeJZveMYkat3ApDtuQnl1k0oqUCUvBMRERGpYFwW9qbAniRvRyIiInJ2//7wR96+oydrFi3JvQkVecLbUYmUHiXvRERERCogl4VVJyAuw9uRiIiInNnrf7sKcPPxo7eSlJCEy8KeZNif4u3IREqHknciIiIiFcC6XcdISSk41azLwm9HIcPlpaBERESKoXnT+tz63IekndjHGw+NwVqLy8LyY5CY6e3oRM4/Je9ERERELnCJJzO567G3eeaWEWRnF8zUZbqcGWjVO0hERMqyy66/ifZDbmbv0u+Z9OnXAGR7bkJlu70cnMh5puSdiIiIyAUuNDiAAa0DObrpF9575lmszcvUuYG4TFgf5734REREiuOht8YSHNaIxdMmcvCgM/NSmguWxoLVTSi5gCl5JyIiIlIBvP7KU9Rr04O1U97i15m/FVjnsrAjCQ6e9FJwIiIixRAYFMzLU1fRfMj9TJ68ktTUDNwWjqQ545jIhUrJOxERqbCMMcHGmK+MMZ8YY27xdjwi55OPjw9Pfvw9vn7+THzlAfbsji6w3mWdygX1DhIRkbKsZt063HBDT+KPRPHxq2/n9r9bFwfH08++v0h5pOSdiIhcUIwxnxtjYo0xm09ZfoUxZocxZrcx5v88i68FJltr7wKuLvVgRUpZWINGjH7+HdJjt/P5G/8jLq7gNH05vYOy1DtIRETKmEbB4Gucr8PDq+OOmsy6ic8ze8qvgHMTav5RSNckTHIBUvJOREQuNF8CV+RfYIzxBd4HhgIXA6OMMRcDDYCDns30q55UCP2vu5373ptO1aa9mDBhGRkZWQXWp2XD4hj1DhIRkbKlWy0I8s17/be3v8LX14ep/3mQqD1ONXmWGxZqEia5ACl5JyIiFxRr7SLg1Nb73YDd1tooa20mMAEYARzCSeCBxkSpIIwx9Bw6nBtu6En0vj1MnrgUt7vgBBYx6bAlwXsxioiInMrPBy4NBz9P9V1Ygybc8a8PSI/dwUfPPkFKSnruJEwbNAmTXGB0oSIiIhVBffIq7MBJ2tUHfgRGGmM+BGYUtbMxZowxJtIYE3ns2LHzG6nIeeJrnMRcjqqVMjg881FW/vAe8+cXeMocl4VNCRCdVroxioiInEmIP/Sqnff4bN9rb6XT4JFEr/qOL9//Brfb6X+3PQkOp3o3VpGSpOSdiIhUWNbak9baO6y191prvz3DdmOttRHW2oiwsLDSDFGkxIQGQNMqeRc8Nes1pPuV15OwZSq/Tp3Jpk0HCmzvsrDoKJzM9kKwIiIiRWgUDM1CnPHMGMM9r39Cj5H3ciylMgsXbgWcMWxxDKRkneVgIuWEknciIlIRHAYa5nvdwLNMpELpVgtC/cGTv+PWf75N9Tr1iFv5IVN/XMqRIwWfM8q2MC8aXJrAQkREypCImlDVM54Fh1bn/tfe5ZKIViycv5E9e44CTgLvt6PO3yLlnZJ3IiJSEawGWhhjmhpjAoCbgOm/5wDGmOHGmLGJiYnnJUCR0uBjYGBdCPD8BhgUEsqY174g9cRBEjZ8z4QJy0lOzntW1uJU3i0/pgksRESk7MgZz3L63wFEtAvh8KxH+fK/H5CUlJY7hq1UxxO5ACh5JyIiFxRjzHhgOdDKGHPIGHOntTYbeACYA2wDJlprt/ye41prZ1hrx4SGhpZ80CKlqLKfc8GT8/hs296DGHLbgzRvFkZaWgbff7+c7Oy8yZddFg6mwq4kLwUsIkUyxvgYY142xrxrjBnt7XhESlOQH/Srkzee1W7QhBq1anBw/juM//onXC43Lgv7T8IejWFSzil5JyIiFxRr7Shrbbi11t9a28Ba+5ln+WxrbUtrbTNr7cvejlPEm2oFQteaeRc8t/7zbe79zydce213Dh+OY+bMtdh8pXYuC2vi4Fi6lwIWqUCMMZ8bY2KNMZtPWX6FMWaHMWa3Meb/PItH4LSCyMKZjEmkQgkPgjahznjmX6kSD7wzHlzprJ30CvPmbQKcMWzVCYjP9HKwIudAyTsRERGRCqh5VWgSnNfwG6BS1hGqJi5gw4b9rFixq8D2Lgvzj0KaJrAQOd++BK7Iv8AY4wu8DwwFLgZGGWMuBloBy6y1jwD3lnKcImVCx+pQI8BJbjRs1Y5RT7xG6qE1/PzVB+zceQTw9L+Lhkz1cJVySsk7ERGRYlDPO7kQdQvLa/gNsOaXqayd9j412MvcuRvZvftoge2z3E4Cz63+dyLnjbV2ERB3yuJuwG5rbZS1NhOYgFN1dwiI92zjQqQCMgb61wV/T3ZjyOgHadt7MFlH1/Djj6tISDgJQIYLlsSoh6uUT0reiYiIFIN63smFyNfApfkueP700HM0atOR7bPeoHoVy+TJKzl+PDl3ewskZkHkCe/EK1KB1QcO5nt9yLPsR+ByY8y7wKLCdjTGjDHGRBpjIo8dU+d+uTAF+sIATz9XHx8fHnxvEs9NmAfA5MkrcLncuIGYdNii+7BSDil5JyIiIlKB5Z/Awi8ggLvf+JqTSfFkbv8WHx/DhAlLSU/PaxTksrAnGfYmn+GgIlIqrLWp1to7rbUPWmvfL2KbsdbaCGttRFhYWGmHKFJqwgKhU3VnPAuuWo1aYaEM6teE7YunM3fuRsAZwzbFQ0zaWQ4mUsYoeSciIiJSwYUFQhfPBBaNWnfguodfZP28aXRslEx8/EkmT16J253XKMhlYcVxNf8WKUWHgYb5XjfwLBORfFqHQt3KeYmO7b9+QezS91gwYyZbtzpzurgsLIxRD1cpX5S8ExERKQb1vJMLXcuq0NgzgcWwvz7Kna98wuDrbuTKKy9hz54Y5s7dVGB7l4V50ZCpLlsipWE10MIY09QYEwDcBEwv7s4aw6SiMAZ613YeowW47pGXqNWgCSdWvM+UyYuIi0sB1MNVyh8l70RERIpBPe+kIujumcDC19eXATf+FV8/P1o1r07Xrs1YsWIX69fvK7B9psupXlDzb5GSY4wZDywHWhljDhlj7rTWZgMPAHOAbcBEa+2W4h5TY5hUJAE+MDDcuRlVuUoI97w5joykWI4u/5RJk1aQne3K7eG6Rj1cpZxQ8k5EREREAOdCZ2C+CSyOHdrHE5e1wf/EMpo2rc3MmWs5eDDvSscNHM+ADfGFH09Efj9r7Shrbbi11t9a28Ba+5ln+WxrbUtrbTNr7cvejlOkLKseAN087SBadunFiPueJmHnfHavnMPPP28AnAry3clw4KSXgxUpBiXvRERERCRXUL4JLGrVb0zDVu2Z8Nrj9OtWi6pVK/P998tISkrN3d5lYVsiHNLFj4iIlCHNqkJDTzuIEQ88y/B7n6T/1cNZsyaKTZsOAM4YtiwWkrK8HKzIWSh5JyIiIiIFhAVClxrg52O469XP8fPz5+tn7+LGG3qQleViwoTlZGXldfp2WVgSC8m6+BEpk9TzTiqqHrUgyBf8/P254dFXGHZ1Hxo0qM706as5fjwJgGwLv0VDtvssBxPxIiXvREREikEXPlLRtAyFRsEQVq8Bt73wPrvWLmP1tLGMHNmN6Oh4pk9fg83X7C7bM4GFLn5Eyh71vJOKys8HLg0HP+O8TktJYt+MJ0na/jMTJ67IvRGV5oJlx9TDVcouJe9ERESKQRc+UhH1CIMQP+h99c10vWIkURtX06JFOIMGtWPz5oMsWbKjwPapLqcCTxc/IiJSVoT4Q6/azuOzQSGhVK9dl5jV4zi0cxOzZ68DnAryw6mwK8nLwYoUwc/bAYjIBW7j83lfd3i+qK1ERKQM8jVOxcLMQ4Z73hyHf6VAjDH07t2K2NhEfvttM7VrV6VVq3oAuC1Ep8HWRGhbzcvBi4iIeDQKhqMhsCfZcOcrn/LUsPakrP2YtVXDadQojM6dm+CysCYOagZCzUrejlikIFXeicj5tfmFvD8iIlLuBPnBgLpQuXJljDHEHohi8Q9fMnx4BPXqVefHH1cRG5v3OLnLwsZ4iEnzYtAiUoBaP4hARE2o6g/VatXmrtc+J/7wLlxR05g9ex0xMc7/DZeF+dGQ4fJysCKnUPJORERERM6odiBcUsOpxJv1yX/49Mm/sn/zam68sRcBAX5MmLCM1NSM3O1dFhbEwMnsMxxUREqNWj+IgI9xZlP3M9Bp4JUMuuVeMmI2EuDrYtKkFWRkOLMuZbphYYxaQEjZouSdiIiIiJxVy6rQMAhufvw1atRtwMePjaaSv+XGG3uSlJTGpEkrcLnyZqvIdjuz97l08SMiImVEkB/0q+PcjBr15Bu8NH0N19/Un7i4ZGbOXIu1FjcQl+FUkYuUFUreiYiIFIMeOZKKzhjoGQa1a1Tl7te/5OjenXz/+v/RoEFNhg/vwr59x5gzZ0Pu9hZIyYaVx7wXs4iIyKnCg6BNKAQFBVGpchB1awdR12xl06YDrFkTBTgzqG9NhOhULwcr4qHknYiISDHokSMR8PVxJrDo0Hsgl41+iLlfv8u2FQvo2LExPXu2ZPXqPURGRuVu77Kw/6Rm7xMRkbKlY3WoEeAkRJb8+BWLv3yOoJMb+PnnDURHOyV3LguL1AJCyggl70RERESk2IL9YEAdGPX4v7nmwX/StH0EAIMHt6d58zr89NM69u/PK7dzWYg8AScyijqiiJxvqh4XKcgY6F8X/H3g0lF306prX3bNeQc/VwKTJq0gPd3pf5dt1QJCygYl70RERETkd6lTGbrXD+KGh18gMLgK2VlZ+PgYRo7sTvXqVZg4cTkJCSdzt3d5Ln7SNXufiFeoelzkdIG+zmzq/n6+3P3G1xhjSFk3loT4ZKZPj8Ram9sCYvVxb0crFZ2SdyIiIiLyu7WuCg2CIO7Ifp6+sgNr5k4jMDCAUaN64XJZJkxYRmZm3rNGmW5YcBTcql4QEZEyIizQeYS2bsMmjH7hffZvWknNjFVs23aYlSt3A84NqL0pEJXs5WClQlPyTkRERER+N2OgVxjUDw/HP7Aynz11F4nHY6lZM4Trr+9ObGwiU6aswlonW2eB+ExYc8K7cYuIiOTXJhTqBEKfEbcw8u//YuSYe2jVqh5z527k0CFn0HJZWHkcEjK9HKxUWH7eDkBESla2y82OmGS2HkkiOjGdo0npZGa7AQj09yE8tDINqlembb2qNAurgjHGyxGLiEh55esDVzQOYO8bX/PkiC58+ew9PPTBDzRrVpfLLuvInDkbWLhwKwMGtAWci5/dyU6lQ5MqXg5eREQE52ZUnzow46DhmgefBeDq2g35+KM5TJ68kjFjBhEUVCm3BcTwhk6vPJHSpOSdyAUg/mQmc7YcZfbmo6zZF8fJzOI1FaoRHEDPi2pyVYdwBrauTaC/73mOVKT8MsYMB4Y3b9783A6UCmQBajskF4hgP/hz/3asfeQlxr/6OEunfkOfP91K9+7NiYlJZOHCbdSuHcrFFzcAnATe8mNQLcD5IyLnX4mNYSIXqAAfuLQu/HwEsrJdfPLozVQKqkZctSuZOnU1o0b1xhhDuguWxDoTN6kGQkqT8sUi5dj6gwk88N1aur78K//34yYW7TxW7MQdQNzJTGZtiubeb51jvDhzK0cT089jxCLlV4k1+z4KRALbATXvlwtE3crw1KOP0CqiD0unjsNaizGGK6/sTIMGNZg6dTVHjybkbp9TvZDp9mLQIhWIJqwQObvqlaBrTWcCi7AGTVk+5XNahsWxa9dRli3bCYAbOJoG2zRxs5Qyk9OHpDRFRETYyMjIUj+vyIVi3YF4Xvt5Oyui4gpdHx4aSOdG1WhUI5i6VSsRVMkPLKRkZHMkIY19J06yZn888alZp+3r72u4rktDHhnSkrCQSuce7Hf5bkndrC7l5YExZo21NsLbcZRV5zyGRQF7cdJCIhsAACAASURBVG6f+QHtgWolEpqIV1kLM7YcI6lSdfDNe7gjJSWdTz6ZhzGGu+66lODgQMD5L1C7Mgyqq+oFKVH613QGug4TObslsRAVl8Ez13Ql8XgMve77gj0H0hg9uh+NG4cB4GtgUDjUDvRysHKhKXIMU/JOpByJTkzjldnbmbHhyGnrOjeqxlUd6nHZxXVoWCPorMdyuy07Y5OZvTGaqeuPcCAutcD6kEp+/G1wC0b3aoK/7zkU6Sp5V+4oeXdmJZa8y+EDhAMtAD25LuVcthtmHYbo2BPs3byG9n0vAyA6Op7PP19AeHg1Ro/uj69nXPE1cHEodKzhzajlAqPk3RnoOkzk7LLdMOsQbN2yieeu6Urb3kPw73Af2dku7r57cO5NqAAfuLohBOr3Nyk5RY5hemxWpByw1jJ+1QGGvLWoQOLOz8dwbef6zHqoD1Pu682dfZoWK3EH4ONjaF23Ko9c1oqFjw3gi9u7EtG4eu765IxsXpq1jes+Ws7e4ydL/D2JVFSn3TRzA9HAMiChkB1EyhE/H6eS7ruXH+Z/91zD0b27AAgPr86IEREcPHiCWbPW5v4/cFnYmghHUs90VBERkdLj5wOXhkPT1u254fFXidq4iiH9GpCWlsmPP67C7XbGsCw3zD8KbtUnSClQ8k6kjDuWnMFtn6/iyR83kZKRnbt8WPu6/PpIf966sRNt651b/xJjDANb12byvb346i/duKhWcO66DQcTuPKdxUxcffCcziEikHwkidnP/8CJI7EFV7iBTGAdsAP1wpNyrYo/vP36v/ELqMTHj43Gle2MXe3aNaRv39asW7ePVav25G7vsrAoBlJO7+QgIiLiFSH+0Ks2DL39IV6ds5U2ndozdGhnoqJiWbx4GwAWSMiEdYV3MhIpUUreiZRhK6JOMOydxSzedTx32UW1gvl+TA8+uKULTfIl2UpK/5Zh/Pz3fjx2eSv8fZ2q3dRMF4//sJFnpm4iy6Xu4iJ/VFZqJhkp6fz8+VR2rd12+gZu4AiwHFXhSbnWuXl9nnvjfXavW86sT/6Tu3zgwLa0alWPOXM2EBUVk7vcZWFetPOokoiISFnQKBhahPpQrUZNXNnZJOz4hXZt67FgwdbcMcxlYWcSHNKDSnKeKXknUgZZa/li6V5u/mQFx5IzAKeZ95h+FzH7b33pflHN83r+AD8f7h/YnCn39aZ57Sq5y79ZcYBbP1tJ/MnM83p+kQtVjea1GPb8SOo0qceKGQtZNm0B2VnZBTdyAxmoCk/KvUfvHMWA4dfz49vPsX/bBsCp9P7Tn7pSq1YIkyatIC4uBXCqF1JdsOKYFwMWuYAZY4YbY8YmJmqKTJHfI6ImVPWHbSvm88Uz95C9dxZhYVX58cdVJCenAU4Cb0ksJKuCXM4jJe9Eyphsl5t/TtvCCzO25vZPqBEcwFd3dOOpYW0I9C+9jqjt6ocy44E+XNUhPHfZiqg4bvh4OUcT00stDpELSWCNylz652G073sJe9ZvZ87nU0mOTzp9w/xVeLrWknLIx8cw/tMP6DfiZqrVqpO7vFIlf0aN6oUxhvHjl5KR4VztuCwcTIWoZG9FLHLhstbOsNaOCQ09t1YrIhWNj4EBdaFz3yH0HXk7s8a+SkRLyMzM5ocfVuJ2OyXjLuv0v3Op/52cJ0reiZQhaZkuxoxbw7gV+3OXdW5UjdkP9aVfyzCvxFQ5wJd3R3XmsctbYTxz3+yKTeG6j5axTxNZSAVSYlUL9cEn0IdOl3Zj4KihJMcnMXvsDxzedeD0bXOq8NaiKjwpl+rWrsX0776kVu26BSZrqV69Ctdf34O4uBTPxU/eBBYrj0OSqhdERKSMCPaDfnVg9D/fplb9xkx46R4GD2zB/v3HmT9/K+BUkJ/MhsjjZz6WyB+l5J1IGZGcnsXoL1bx2/a8RvZXdQhn/F09qBsa6MXInMec7h/YnLdv6oyfj5PBOxSfxg0fL1cCTyqMEqta8AE6OH83aNmYK8eMJDi0Cr99N5uNCyNPn40WVIUn5VoVf2jpPsKrtw5i55plucubNq3NFVd0Yteuo/z22+bc5S4L86NBLVZFRKSsCA+CLg2qct+b4zh+eD8bpr5F585NWbJkO7t2RQPO+BWVAgd1eSTngZJ3ImVAYmoWt3y6klV786Yqum9AM965qXOpPiZ7Nld3rMcnt0UQ6O98dMQmZ3DLpys5FJ/q5chEypkQoCngAyE1Qrnizmu4qENLNiyIZP74n8hIyzh9H1XhSTnWLKwKCYeiGPvYaNJT865qunZtRpcuF7F06Q42bcqrPk11weoT3ohURESkcB2rQ89evbn12be59OZ7GDq0E3XqhDJlymoSE53rIZeFpbFOFZ5ISVLyTsTLktOzuO2LVWw8lFdO89Sw1jx+RWt8PFVuZcnA1rX58o5uuQm8wwlp3PLpSmKT1ANPpDiysrJwuVzQGPBMGO3n70+vawbSbVhfovccYvbYycRFF/HcharwpByqWrUq33z1JTH7dzPx9ScKrBs6tBONG9di+vRIYmOdf9QuC3tT4ICqF0REpIwwBvrXhatuf4BmHbvh7+/LtX/qgsvlZvLkFbhcef3vFhwlt3+5SElQ8k7Ei9IyXdz5ZSQbDibkLnv5T+0Y06+ZF6M6ux4X1WTsrREE+DofIftPpPKXr1ZzMkO3mETO5s9P30fzSy9h56EoaE/uSGyMoVXXtlx2xwjcbjc/fz6FPeu3F36Q/FV4O1EVnpQLAwcO4KG//Z25495ny9Jfc5f7+vpw/fU9CAjwY+rUyAIXP8tiIUX970REpIwI9HUmsPA1MOG1J/jyiVEMv6ozhw7F8euvmwCn/11SFqyLO/OxRH4PJe9EvCQj28WYcZGs2pf3qf7iNe24pXtjL0ZVfP1ahvHBLZfg66kO3Hw4iQe+W0u2mhSJnFGtDk05uHYnHTp15ItfxkMrCozGYQ3qMGzMdYQ1rMuyaQtYMXMRruwisnNu4DCqwpNy49V/v0LLVq2Z9v5LBZYHBwcybNglREfHs3TpjtzlObP3qXpBRETKirBA6FAd6ja6iE2Lf+Fw5FS6dWvOihW72Lr1EOCMXzuTIFrdhaSEKHkn4gUut+Wh8etYvCvvsbinh7Xh1h7lI3GXY/DFdXj5mna5r+fvOMbzM7Z4MSKRsq/vn6+k39rnCWxSk79cczOjXvkL6ZXTId9T8pWDKzPoz1fStndndq3ZypwvpnIyMbnwA6oKT8qRypUrM3PGdKZNn4nvKZ0h2rZtQNu2DVi4cCsxMU5FugVSsmGN+t+JiEgZcnEojLpjDJcMGs73rz/BxU18qF+/BtOmRXLihPM7m8vColhI08NJUgKUvBPxgpdmbWXOlpjc1w8Pbsld/S7yYkR/3E3dGvHAwOa5r79ZcYDvVh44wx4iUqVFXXove4aLHr6cCe9/QZsxHdl6aGuBbXx8fLhkcHf633g5SScSmTX2B6KjDhV90JwqvBWoCk/KtBYtWtCidhWaV0rj4Lb1BdYNG9aZypUDTnt8dncyHFb1gsgfZowZbowZm5ioAUKkJBgDfesa7n/tUyqHhPLxo7dyzYjO+Pr6MGnSCrKynIxdthsWxqiCXM6dkncipezLpXv5Yum+3Nd/7dOUhwY1L3qHcuAfl7VkeMd6ua+fm76ZNfvV5EHkTHwr+dP2rVF0m/UwR6Kj6XRvF8b+/AnWFvztrlHrpgy761oCgysz75tZbFq89rRtcrmBdPKq8PQUu5Rh/330Tl4ffRkpJ2JzlwUFVeKqq7pw9GgCixdvy13usrAkBlJVvSDyh1hrZ1hrx4SGhno7FJELRoAP/Kldbe5+7XNiD+wh/uB2rr22GzExicyevQ5rLRaIz4TN8d6OVso7Je9EStG8bTH8a2Zedc3QdnV5algbjCl7s8r+HsYYXh/ZgYvDqwKQ5bLc881aYpM1A63I2dQZ1pH+G/5FtR4XcfcbY3hl+uunbVO1ZjWG/vVaGrdtxvrfVrHg+zlkpmcUfdD8vfCSzlfkIufm6aefJi0liS+eGVMgId26dT06dGjE4sXbiY7Ou9rJ1ux9Il6XmakZZETyq14J7rr+St5euJcWl/SkefO69OvXhvXr97Nu3T7AuQG1JRFidWkk50DJO5FSsuVIIg+OX5d70dGpYTX+e2MnfHzKd+IuR+UAXz6+tQvVg/wBOHkygSU/PECBAqGNz0FWincCFCkjMl2nX/gE1qtO918epd2bo1j7ZDV2hRzH5SrYvM4/wJ8+1w4i4oreHN51gNmf/EB8zBkageVU4a1BVXhSJrVt25aXXnqJVb9MY9mUrwusu+KKTgQFVWLq1EiyPRO2WCAxCzaosFvEK1LT02nz5V30vf1a0jPOcANJpIJpURXaNgzDB8vSad/SpWNdLrqoNrNnr+PoUaeHq8vCwqOQod7E8gcpeSdSCuJOZjLm6zWkZjqf1g2qV+aT2yII9Pf1cmQlq2GNIN4ddQnBvmlMaf4PhvmNo0BR4bbX4ZceSuBJhbU+cS8P/vouR44cOW2d8fWh6SOXkxUeyBMdZtL5qZ68O+XdgtsYQ5vu7bls9HCyM7P56dMpRG3ceeaTakZaKcMefvhh+vbty7cvPkT8kbx+qZUrBzB8eBdiYxNZtKjg47Pbk+BomjeiFanY0jMz8Fl6mCVfTaF6hyb8unSJt0MSKTN6hEHy4T188vjtfP3cffzpT90ICqrExInLSU/PBCDLDYtjoKjuJyJnouSdyHmW7XLz0Ph1HE5wrjRCKvnxxe1dCQup5OXIzo8+LWoxNmI+jQOOEuiTWXClKx1S9sC2/3gnOJFzUBLNvqv5B1M7qBpr1qxh06ZNp1XX5UjPziCuCWxum4yrkJK52o3CufLu66hZP4ylU35j1ewlRR4LKNgLbyugvmFSRvj6+vLll18S0aULjQMzC8xA27JlOJ06NWHJkh0cPpxXbueysCgG0lW9IFKqalQNZfvnPzP4wdtJP3icIZddys2PP+jtsETKBD8fuKVHc6772wusnD2RDb9O5vrru5OYmMq0aZFYa3EDxzJgm26myh9gimx6fR5FRETYyMjIUj+viDf8+6dtfLwwKvf1J7dFMOTiOl6M6Pyzk8MwmceL3qBSGIyMLXq9eJUxZo21NsLbcZRV5zqGfeNey3PbJhAVFUXVqlXp0qULVapUOW07ay2Bbj+aJdWk8WsHuahaYy7venmBbdwuF+vmrWLr8g2ENahDv+uHEFT19GMV4OP50xqoDVwYT+7LBcBt4afDkJDpPCILkJ6eyYcfziUgwI+77x6Mn59TsW6AWpXgsnpQztvGSsnTv4gzKJHrMBdM/GoOt/37NjJ2xxLWsw3Lx/9Es8aNSyZIkXLscIqLQQMHcGD7Rl6etYE9h7KYM2cDQ4a0p1evVgD4Gmf8qnlh1nLIuSlyDPNq5V1apostRxKZvSma8asOMHbRHj5csIevlu1j8ppDLN9zgujENNzqTCzl1KyN0QUSdw8NanHBJ+4ATOYZ+nABZJxlvcgFLMDHjw5t29G1a1fS0tJYvHgxhw8fPm07YwwZvi52BMfy7NzXueLJK3js48fIzMqraPXx9aXLZT3pd90Q4mNOMGvsDxzdd/qxCnDjVN5txemHl1qS707kj0uIj+PbJ0cTuzfvUfDAQOfx2ePHk5k/f0vucgvEZcLmBC8EKlLR+cIN111O3Lv7aHHtAI6t3E7Lrm159ZMPvB2ZiNfVr+LL25+NAywfP3ob3bo14+KL6/Prr5vZv/8Y4FSQLzgKmepHLL+DVyrvwpu3tW3v+4DdscXre1U10I8ujavTtWkNhrSpQ4s6Iec5QpFztzs2havfW5Lb5+7S1rX59LaIC2aCijP6IQwyVHlXXqny7szOtWohkXReZB77iSc+NZm1a9cSHx9P48aNadu2Lb6+p/fCdJ/MZPs/vmfPx/Po2qor458eT7N6zQoe91g8CybOIflEIp0Hd+finh2LN5O1D9AYaIKaaYhXHTlyhHbt2tGoWUse/W4J+PrlrpsxYw3r1u3ljjsG0rBhzdzlvgYGh0NYoDciljKqAvyi9ceV6BNQUcB+eGr5f3ntf//EfSKF9iMuZfX4n6hUKaBkziFSDlkLL3w6iWQq0XnQ1WRkZDF27DwyM7O5++7BVKkSiA9QLwj611EFuRRQtirv4k5mFjtxB5CUns38Hcd4/ecdDPnvIga/tZD3ftvFsWTNciRlU3qWiwe+W5ubuGtSM+iCmln2rFrcB76FX0m5fQKhxb2lHJBI2RFKIK8xlKtoQ7WgEHr16kWzZs3Yv38/S5YsISXl9PHRJziAiz+6lR6THmJr9HY639OZ7+Z9V/C4YdUZ9tdradimKWvnrmDRpLlkZWSedqzTuIH9wDIgvkTeosgfUq9ePT744AM2RK5kweevF/gl9bLLOlC1ahDTpq0mKyuvaWNO9YJm7xPxgqZAELzS42F2vL+JGj3bsCltL22+v48NUbu8HZ2I1xgDz9x5PX0vvxoAXx+44YaepKdn8cMPK3G73biB6DTYlezdWKX88ErlXaXwFjZ89P/w9TE0qhHERbWCqVWlElUC/fD1MaRmZpOUls2BuFT2nThJQmpWocfx9zUMbRfO/QOb06quqvGk7Hhu2ma+Wr4fgAA/H6bd35s24VW9HFUpykpxZpVN2eNMUuGR7g7ghGlAvevXYwL0f7asUuXdmZVk1cJaDvMaC8kkmyMxR1m3bh1ut5sOHTrQoEGDQvdxRcWzedRnHFi1mdsvv513H3iXKpXz+txZa9m2YiNr564gpGYoA264nNCw6sULyAeoBbQCVDQhXnLTTTfx448/8vLUVYS37pS7PCoqhnHjFtOjRwsuv7xj7nIfoHZlGFRX1QsCqPLujEq893gasAJy5lb6x9FP+KjSPLL2xnHloUZMfuvjQivKRSqC5Cz4+2sfMffbD3lu8nK27Yhl2rRI+vRpzaBB7QCngnxofaim37vEUeQY5pXkXcOW7ez3sxfQuVF1Kgec+cPcWsv+E6ms2hfHwh3H+G17LGlZBW+vGgNXtg/n4SEtaRZ2lkbdIufZnC1HuXvcmtzXL17Tjlt7VMAGvlkpzqyym/+FtRDnCmXciWGMPXYt/76hJyM61fd2hFIEJe/OrKQvfI5xkheZRzRJJKSlsHbtWuLi4mjUqBFt27bFz8/vtH38MmD/c7NY9/pkWtRvwQ/P/UC7pu0KbBOz7wiLJs8lOzOLniMG0KRt8+IFZHCyIS2AeugyWErdiRMnaNeuHRe1bM0DX87Hle9X1Vmz1hEZuYfbb+9P48Zhuct9DXSqDm2qeSFgKWv0qXUG52XiwGhgO7kJvNUndzLozeEkbzlIxIt3MOPGF6lbo0bJnlOknPh+1jxuumowg2+9n9HPv8eMGWtYu3Yvo0b1omXLegAE+8HwBs6MtVLhla3k3bkMGmmZLn7ZepRxy/cTub/g8z1+PoY7+zTlwUEtqFLp9IsdkfPtcEIaw95eTGKaUy16Rdu6fPjnS4rXd+pC9Z3z3p88dD/j44YCUC3In18e7kftEDUpKouUvDuz83Hhk42bz1jNr+wizZ3Fjh072L17NyEhIXTp0oWQkNMrVX3chqTfdrLvronM/ddPp/XAA0hNPsmiSb9w7GAMbXp0oPPg7sWvgPABgoG2nr9FStGKFSto3Lgxh/zD2Z1MbgIvMzObjz6aC8A99wwhICDv9z3N3iceFfiXrqIZY4YDw5s3b37Xrl0l/EirBTYCJ8idKjo9M4Ortz3FbxcdICTFj0dT+/D0mPtL9rwi5cRt9/+DcR+8xT8+nUW7vpfz2WfzSUg4yZgxg6lePRhfAw2DoU9tb0cqZUDZ6nl3LioH+DKiU30m39uLGQ/0YXCbvJk7s92WjxdFMejNBczbFuPFKKUiyna5+dv4dbmJu/rVKvPayA4VO3GXz1Phn1O/WmUAElKzeHHmNi9HJFJ2+OHD3XTnH/QjyCeAtm0upnv37mRkZLB48WIOHjx42j5uH0uVwS3ovPMZdnbNwlrLf77/D8cT8yaLCQoJZsjoq2ndrR3bVmzkp09/JD42rnhBuYFkYBWwC1BPMSlFPXr0IDw8nE7V3aTGHspdHhDgx4gREcTHn2TevM0F9nFZmK/Z+0QKZa2dYa0dExoaWvIHN8DFQL7aicCASvzS8U2+dt9H9uydPHPPA7Qe3o/EZDX4korn4zdepmmb9nzyxB2cTDjB9df3wFqYNGkF2dkuXBYOnoS9+u8hZ1Duknf5tW8QyqejI5h2f2+6Nsnr5xOTlMGdX0Xy6KQNuYkUkfPt7Xm7cqtBfX0M74zqRGiQv5ejKjtCfNN4dWT73NczNhxh0c5jXoxIpOzpQSPeZjh1CaFB7XD69+9PtWrVWL9+PevWrSM7O/u0fbL8LZ+3iORJ8w3PfPkME+ZPKLDe19eXrkP7MOCmK0hLTmX22MlsWbYet7uYGQ43cAhnQosT5/wWRX6Xv/7lDl6+eQBZqXkTuTRuHEb37s1ZtWo3e/cWnLk80wXLYp2Z/kSkFPkD7Tjt6vLm0IFsvW4GYf3bs2PmYsI6NGXyT7O9EaGI11SuHMjk8d+SkZrC1uW/UaNGFa65pivR0fHMmbMBcG5ArTwOSUpfSBHKdfIuR8eG1Zh4d0/+d2MnalXJe1Zi8ppDDH93CVuOJHoxOqkIVu+L4735u3NfPzKkJV0aq7fHqfq2COOaTvVyXz87bTPpWSrnEckvnKq8w9X0pQmhgcH07NmTli1bcujQIRYvXkxSUtJp+2T4utgzwDBq+dvcMvIvAGzdv5VsV16yr2GrJgy/9wbqt2jM2rkrmPvVDJLjTz9WodxAJs5jURsATfYupeTOO+9k394ofvnf4/jmK2QfNKgdNWpUYfr0SDIy8q50cmfvK+Y/bREpQTVweqWecoXZMLQesc9s5Pp/PETWiWSuv+Zqht53Gy6XfgeUiuOSju3Zsmsffa++CYDWrevRq1dLIiOj2LjxAADZnhnUXboBJYW4IJJ3AMYYrulcn7kP92N4x7zkwIG4VK79YBkTI09/5EikJKRkZPPIxPW5d/l7NavJPf1P7z0ljqevvJiqgc5zFftPpPJBvqSniDgC8OVv9OF+ehJo/GndqhU9e/YkKyuLxYsXc+DAAU7tWZvh6yKpcxAP9ZzBOtce+vy9DwP/MZADMQdytwkMrkz/Gy6j1zUDiY85wcyPJrFr7bbTjlUkN0713XLgILm9jUTOl379+vHwww8z4bMP2bfil9xGMP7+zuOzCQmpzJ27qcA+Lgtr4iA+s/TjFanwWlDkbOUTh77Nr+8sJKhFXX7+cBw1u7Zg/dYtpRqeiDc1qx9G79qwZckvRO/dyaBB7WjcuBYzZ64hNtYpODqZDZHHz3IgqZAumORdjurBAbw7qjPvjuqcO2lFRrabxydv5InJG8nI1h0eKVkvz9rKwbg0AEIC/Xjzho74+qjPXVHCQirxxNDWua8/XLiH3bEpZ9hDpOIaQDPe4krCCKZerTr069ePGjVqsGHDhkIfo832sSQGpPPKoOU88NQ/2RC1gU73dGLKkim52xhjaNaxFcPvvZ5a9WuzYsZC5k/4mbSU1OIFZXH63+0BVuL0xRM5j15++WXatGnDe4/9hfSkvMnKGjWqRc+eLVizJoo9ewr2Os7pf5et/ncipcsH6EiRV5mDGvYg4c29dLrlShI37eeS3hE89sbLpRmhiFdVcyfz0cM389Ejf8btcjFyZHcCAvyYOHEFGRlZuCxEpTg98ETyu+CSdzmGd6zHtAd607JOldxl30ce5NbPVpGYqgfJpWT8tj2G8avyqjpfHNGO8NDKXoyofBjVtRGdG1UDIMtleXbq5uJX/ohUMA2pxnuMIIIGhAZWoUePHrRq1YrDhw+zaNEiEhNPaQ1hnCq8rY/V4tnZ42gW3oxrn7+W+96+j7SMtNzNgkNDGHzrVURc0ZujUYeY8cFE9m+NKn5gLuAkEAlsB05vxydSIgIDA/n666+pEhxM48zDBR6fHTiwHbVqhTB9eiTp6QV/v0t3wQq1VhUpfVWAiyjyStPfz591d8zkzdc+wze4Em9MfI8R457nZGoxbyKJlGMhISGM/egjojauZvp7LxISUpnrrutOXFwyM2aswVqLy8LSWKcKTyTHBZu8A2gWVoWp9/cu0GNr1d44Rn60jEPxGhzk3MSdzOTxyXmP6gxrX5cR+f6tSdF8fAwvX9M+t0JxedQJZm2K9nJUImVXIP48QX/+QgSVjB8tW7akZ8+eZGdns2TJEvbt23daAjzT18Wq3ikMWfA8f7vxYT6c8SHdH+jO1v1bc7cxxtCme3uuHHMdVaqHsGjSLyyZMo/M9N/R1M4NRONMaKFEiZwnERERbN26lcHd2tEoGHIK3P39fRkxIoLk5DR++WVDgX3cFg6mQpSqQ0VKXyMgBDjDwyiPdLydg+/tptvokUyvtplmH93G/7N332FRXN0Dx7+zu+zSe1VRKQpYsCEqippoNLHEkmhsMab8fBPTmzGJedX0YkyiMYnJa4rGkkRjN9ZYERQVARFREWw0RYp02J3fH4OLBLBEYEHv53l4dHZ3Zi+6MHPPnHvO4tUr62uEgmAyo0Y9zMTHJrHmmw84cWgfLVu6cu+97YiLO09kZCKgZJDvTFPOZYIAd3jwDsBSq+GLRzry5jXL9E5l5DHu2+1khE2DlS6wVKX8GTMDSsXyPeHGZFnm7VWxXMpTJrguNjreH94eSRLLZW9Wmya2TAppadz+aONxCkvEsnZBqImExAP48SmDcMQCD2dX+vTpg5OTE7GxsRw+fJjS0sqZR8WaMhJcL5P3Uwi/zl5BWlYaQVOC+H7995WCfXYuDtz/xHAC+wSRHHuKdd/+Turp8zc/OANQChwFDgNFtfEdC0JlarWaoqIiNs59h8LMimWyzZo5ERLiR1RUMidPVr4Rmh+TlwAAIABJREFUZOzeJ+rfCUL9koD23HC26W7jzH7/r3m/8GEyl+9n4qTxvLB07s13RBeERmre3K/wbN6C716dQFF+Hj17+tG6tQebN0dz/nwmMkrn2ajLph6p0FDc8cE7UDIL/tPHh7ljO6FVq7BUFfKD+3PYJn0BxZcAWfkz/lPY0l0E8IQbWn3kAn8dTTNuf/JQexytaqjOK9TohX6tcCr/d7uQXcj3u29hyZ4g3KW8cWQ+wwnEA1udFd26dcPf35/U1FT27NlTZRltqdrARV0+a18s4oc/N9CzbU+mzJ3CifMnKr1OpVbToW8QDzw1Ao3WjG2L13Pgr72Uld5CqQkDkI3S0CK5fFsQalFycjKfz/6MFbMmo7qmY0rfvm1wcbFl3bpDFBZWjtRdrX+nF59HQahfOiCAm5pxvu00hl3Pr8PzP/cxz2Y3HX55jsNxR+t6hIJgMra2tiz5dTEvvPI6llZWSgPO4V2xtbXgjz8iKCgoRi/DiVxIFYsGBe6S4N1VD3ZowqIng3neYxUttGmYq/5xG1ZfBHmJEP+ZaQYoNAoZuUXMWFPRGWtscHPu9Xcz4YgaLzsLM14b6Gfc/nbXKS5kF15nD0EQAKzQ8l/6MZ6O6NDQqlUrevTogV6vZ+/evSQlJVXKrJNVUKgpY0noCfz/fpZff1iHn6fys3cm/UylYzs1cWXw5Ifx79aehANH2bBgJZcuVG4GcF0yStAuCYgAcq7/ckG4Ff7+/nz44YdsWr+WxI2/GOvfaTRqhg/vSl5eMZs3R1fZr6AMDojufYJQ/9wAZ667fPaqkCYdSe6/hkdze3AsYj9BIUE898F/63qEgmAyPXv2ZPpLz+BnJ4G+DAsLLaNG9SA/v5hVqw4Y69/tzoBCUf/urndXBe8Auns78X/um6sG7q7SF8HJb+t3UEKjIcsy01cfJbdI+e3p6WjB9MEBJh5V4zY6yJO2TWwBKCo18PFfx008IkFoHCQkhtOW96WB2Mo63Bxc6N27N87Ozhw9epRDhw5VWUZbpCnjjG0OKx7L5N0O21ga/Se+E33ZemhrpddpzDR0vb8n/ScOpay0jE0LVxO9IxKD/haWthuAQpRltGdu8FpBuAUvvfQSvXv35rO3XqAo/YwxJtCkiQOhof5ER58hISGl0j56IDkfzorFFYJQ/wIAs5t7qUqlYpH7q8xvOxWNvSXzp79Hi/5BpF3MqNMhCoIppUZs5PX+rclJT6FJEwfuv78jp06ls3t3PKB0Tt+VLurf3e3uuuAdgKb0BgvHizPrZyBCo7MxNo0txyoyUD55KBArncaEI2r81CqJGUPbGrfXRadwIEkUdxDqjyRJ3pIkLZQkaYWpx/Jv+OPCN9Jw/EpdsFVbERwcTEBAAGlpaezevZvs7OzKO0hKM4vDjin8NukS/Z4eR8eOwQBVml54eDVl6DOj8ApsRczuQ/y1cBXZF2/x59MAnAYu/PvvURCupVKp+Pnnn5FlmeWznqnUfbZ37wDc3OxYv/4wBQWVG6/oZdh3EfJuYSW4IAi1QMNN1b+71tNtHyFt3mma3R/M2e2HaNaxNQt+W1pXIxQEk2rdypfcS+l8/8YkDAYDXbp4ERjYnJ07j3H6dDoykFUCR7NMPVLBlO7K4B06p9t7XrgrZeWXMGNtRe2NscGehPg4m3BEd45gL0eGBHoYt99bfwyDuLUk3ARJkn6UJClDkqSj/3j8fkmSEiRJOiVJ0rTrHUOW5dOyLD9ZtyOtW7aY84FuIA9dbIfOoMHX15eQkBBkWWbv3r2cPn26SmDOoJKRHXVYfdWfZ+9dzyKHcLo9342N+zdWep3WXEfP4ffSZ/QA8nPy2LBgJcfCo6sc77oMwAngFlbfCsL1eHl58euvv/LF57Pp6gSa8gCeWq1i+PCuFBQUs2nTkSr7GevfiVOMINQve8CTW5p9OlrZc+61/Uye/l8MhSU8PWECIY8Or5JVLgiNXevWrZkzZw4xe7ayffHXSJLE4MGdcXGxZeXK/eTmFqCXIS4HMkRTsLvW3Rm8azUF1ObVPlVk0JLu9ng9D0hoDN5df4xLecpya3dbc94cJJbL1qY3BwWg0yi/kmIv5LA+NvUGewgCAD8D91/7gCRJamA+8ADQBhgrSVIbSZLaS5K0/h9frvU/5LqhQmKMcwdmxPbHqlSLi70TvXv3xtXVlbi4OA4ePEhJSdWSEaVqA0WaMpbb7uekWTqD3x7My9++THFJ5ayl5gHeDH1mNE18mnFoSzhbF60jL/vKzQ/QABwDRHK7UEuGDRtGmzZt8LYBW0Oe8aLW3d2e3r0DiI09R3x85ZRPGcgrg0PicygI9c8bsLj13Rb0ncWhrw9i06El4b+uwb6jF3sPRtb68ATBlCZPnsyQIUNY/slUUk/GodVqGD26B2VlBv74IwK93oBehl1pUHwLVUyEO8fdGbwLeB2sfaoE8IoMWs6UuDNiRwgn029hQiLc8XYcz2BVVMUE4IMR7bA1v8niHcJNaWpvwRO9vIzbn20+TnGZODMJ1yfL8m7gn+s4g4FT5Rl1JcByYJgsy7GyLA/5x9dNFdGRJGmyJEkHJUk6ePHixVr+LmqRGbT3dOebA8PxvuKIjdqSrl270qZNG9LT09m1axeXLlVftV/j60DIgen4PHMfX678ks6vBHPy/MlKr7GwtqTvmPvp8WBfLqdcZP23v5N45PjNZ+EZgBhEEwuhVj333LPMHNsPlaGimnevXv54eNizfv1h8vOrLp9NvALnRfc+QahfKiCQfzUD7eTWhqwPTxL61BgKEtPo+9SDzN2ysrZHKAgmI0kSCxcuxN7OjtO7VqOWwNnZhqFDu3D+/GW2bYsFoNQAe9LhVhZACHeGuzN4Z2YNAyIgYCqoLQGJMpUVP2eNYsSpz0nJ1zD+f/s5d1lc1QlwpaiUt1bFGreHdWxCvwDRXbYuPN3HB3tLJSh67nIhSyLOmnhEQiPVFDh3zfb58seqJUmSkyRJ3wGdJEl6s7rXyLL8vSzLQbIsB7m4uNTuaGubEzg4WvBp1CAGn/NDZ9Dg4+NDr169UKvVhIeHc+zYMQwGQ5Vd1eZa2nwznqBVz3MyPZF2z3bgq10LKr1GkiR8O/kz5JlROHg4s2/NTnb+tpnC/JvsFG0AogBxj0yoJX369CEy8gBRiz821r+7uny2qKiEjRujquyjlyEsHfJF9z5BqF+WQCv+1SxUrVaze8wyfv58JS4TevJi8TL6fPMS51LEag3hzuDq6kpsbCzzP3gbe63SpLldO0+Cg32JiDjJsWPnMQAXiyFe3Ai969ydwTtQAniBs+CRfBhnQDMmjx7Dv0bSWAOQcaWYx3+OJKdA1FS4233813FSc5TiAk5W2krNFYTaZWdhxvP3tjJuz/v7JDmF4mdQqFuyLGfKsvy0LMs+six/ZOrx1IrWoNaomJQYxJuxfbEoM8PR1oHevXvTokULEhMT2bt3L1euVB9B8xjehT7R72LT2ZOX3nua4G8f4Hxp5YxDa3tbBjz2IF3u60HKqbOs++Y3zh5Purnx6VG60Ip7ZEItGD16NGPGjGHOh7MoO33YGMBzdbWjb9+2HDt2nri4c1X2KytffiRKrApCPWsK2AHSjV5Yvcf8h5HU/lfuy/Jn97KVeAUHsH7/3tocoSCYjKurKyoJnNKjOX04DIABAwJp2tSRNWsOkpl5Bb0M0VmQWXyDgwl3lLs3eFeNDp72/O+xrmjVyj/LqYw8Ji8+KJbu3cXCEzNZsr8i+2vmg21xtNKacER3vgndm+PpqBREySoo5btdiSYekdAIXUApi31VM+62XqdqjEuTumQ24+uIB/EssMNKMicwMJCuXbtSUFDA7t27OXPmTLXLXi08nej+9xu0njGMyFWbCXghkJ+cwihWVaQqSZJEm5AODJr8MFa21uz6bTNhq/+mpOgmribLgEOAKLws1IL58+fj4uLCJy9ORFNa8aHq2bM1TZs6sGFDFHl5lT9sMpBbCtGiwbnQiEmS1FeSpD2SJH0nSVJfU4/npkhAO5Rz1b9krjFnS9P3eaH/FHT3+zE89SueWv45JaKZhXAHMBgM/N/jE/nupTEU5mahVqsYNao7arWK33+PoLS0zNiAqaTqQgrhDiWCd//Qw8eJ2aM7GLf3J13m9T9iROfLu1BhiZ5pf8YYt/sHuFXqiCrUDZ1GzWsD/IzbP+5NIjXnJpfjCYIiEmglSZKXJElaYAyw9nYPKknSUEmSvs/JaSTrFGyB5oAKXIqt+eLAUAaf80OrV+Pu7k7fvn1xdHQkJiaGyMhIiourBtxUGjV+M0fQ4+83aDKuGxvbJ/FkzxXscE/EQMV50cHVkfufGkH70M4kxZxk/Xd/kJZ0E/HSUpQAnphrCbfJ0dGRhQsXkpqailt2vDH7TqVSMWxYV0pKytiw4XCVQHWZDMdz4YLIAhUakFvspC4DeYA5SpmIxkELtOW2Z6Nf9XqThOHraZPjxsKjK7Fv35xtYSILT2jcVCoVCxcuJCM9jTXvPYMKGTs7S0aODCYjI4cNG6KQZZkSPezLEPXv7hYieFeNBzs0YdoD/sbttdEpzN6SYMIRCaYwZ2sCZzKVq3kbcw0fjGiHJP3L/H7hlgwNbEL7pnYAFJcZmLPlhIlHJDRUkiQtA8IBP0mSzkuS9KQsy2XAc8BmIB74XZbluNt9L1mW18myPNnOzu52D1V/vDB29tPIyjLamUf6Y1uiw8bMku7du9OmTRsuXrzIrl27qKkZh3Mff/xmjqBYredszHEmvP0IT/guIsahos6QWq2m473BDHxiOCq1mq2L1hG5KYyy0usUFZOBYpQAnqg9JtymBx54gKSkJHoHd6KjI8YAnouLLffe25bjx1OIja26fFYvK8W/L4vlR0LD8TM32Ukd2CPL8gPAG8Cseh7n7XEG3LjtGWkzCxeONJnLwCttKTx7ifsG3Mu4qc/XxggFwWSCgoKYNWsWG/78jRObl6KWwNfXnT59AoiOPkNUVDIGILUQTuSaerRCfRDBuxr8p7c347s1N25/szORJfvPmHBEQn06ci6bhXsrajdNHxyAm635dfYQapNKJfHmoIoA+orD5zmeJs5KQlWyLI+VZdlDlmUzWZabybK8sPzxjbIsty6vY/eBqcdpMtV09muX7c534SPpdLkJ5nozYzMLMzMzIiIiiIuLQ6+vuVxEXkIqOXHnSbPJ470O23m702bOWWYbn3dp5sbg/zyMX9e2HN8fy8bvV5KXfZ2fXxml9l0USi08QbgNtra2GAwGdi1bgGVZnrGkVvfurWnWzJG//oriypWq2dxlMmxLFQ0shIbhFjupX100lwXo6nGYtcMPMLv9w6hUKjY9+AO/fbEOXRMHln32Na4hbUg8I+ZvQuP1xhtv0LNnT76YNoWijLNIQO/ebfD2dmXjxihSU7PQy3D4MpzNN/Vohbomgnc1kCSJWQ+25V5/V+Nj/10Tx96Tl0w4KqE+FJfpmboi2ljAupevM6ODPK+/k1DrQnyc6eundPWUZZi9WWS/CqbV6JbNXmUJ+FLpjG9dpuXtmHt5OqEbujINDjb2hIaG0rJlS06fPn3dZhbNxofQN+4DtI7WFOqLWbd0CS92XsOXAXvJ0ipBETOtGcGDQuk3YTCFeQVs+nE12RevU1js6qKvGJRutIJwG44cOcKUKc+w7rPX0BiXz0oMH96VsjID69dXXT4LUGqArSmifpDQYFXbSV2SpJGSJC0AFgNfV7ejJEmTJUk6KEnSwZoyrE3mmhqttWG07/1cnptMqxF9uLg/ntZd2/LxD9/UzsEFoZ6p1WoWL17MSy+9xMj27piplPPZyJHdsLTU8ccfERQVlSgd1DMgTVQauqOJ4N11aNQq5o3tZFy+pzfITFlyiKRLIqx9J/tmRyIn0vMAsDBT89HI9mK5rIlMe8Cfq//02+IzOHw2y7QDEu5qjXLZ7FXNUGrgXXPWl5Dol+bLvP0P0jzfHitJR/v27QkODqaoqIjdu3eTnJxcbZBDpdUAkLY2itjnF7Pznvf5q/AAk0NWstTriLGpRRMfTwZMehBk2PzTGi5dyKh5jAYgGzgGiNotwm3o3Lkzr776Kgt/WEBJ9Cbj8lknJxv69WvHiROpREdXzcaRgYIy+DtVWUorCI2BLMt/yrL8H1mWH5FleWcNr/leluUgWZaDXFxc6nmEN8EWaEGtzUwttRaceHYn096dA0i8+fSzBI7sT0GBiGwIjY+XlxezZs3CzlJLqHMZagmsrHSMGtWdnJwCVq8+iCzL6GXYmQaXRCOwO5YI3t2AlU7DwseCcLNVstBzi8p46pdIcotEde070fG0XObvOGXcnnq/H56OliYc0d3N392WoYFNjNufi9qTgvDvSEBHjA0sruVeZMMXkUN48GwbtHo1bm5u9OnTBycnJ2JjY2tsZgHQ5OGudF72NFfiLvB3l+kkrYpgVfOjPN7rD7Z6nESPAQc3JwY+PgytTsvWReuu38jCAFwEEhABPOG2vPfee7Rt25Zpzz6JfWkWqvIAXrduvjRv7symTdHk5lbtUmEAskqUDAZRAFxoYO7sTupeKJnitXi//KPuL5MwPxbHHv7ErtqO671tiT59svbeQBDqUVRUFD0DW6M7ewi1BJ6eTtx3XyAJCSls3670timTYXsq5JSYeLBCnRDBu5vgamvO948GodMo/1yJF/N5YVkUetGB9o5SpjcwdUUMZeX/r52b2zOxR0vTDkrgpf6tUJfPusJOZbIvUSxdF4R/RQ34AN0AOypdAahlFY+e7sy7UQOwLzbHxsySbt260bZtW2Mzi4yM6rPmmo7pTu+oWVj7eXBo1HwOPLuQ7NIr/ND6AM/0WEWUYwo2jnYMfGI4VnbWbF+ykXPHk6o9FqBET1KB07X2nQt3IXNzcxYtWkRGRgaLZz2PrvzzLkkSw4YFYTAYWLv2ULWZpXpZ6T575DorvQXBBG6rk3qDL/0goSyfreXFLr6OLcmcFc/g5ydTOtSbblHTmbXml+vWdhWEhqhFixaUlJTw1n/G4yoVoJaUG1JdungTFpZAWJiS5FAqw5YUUcP1TiSCdzepg6c9nz4caNzemXCRTzYdN+GIhNq2cG8SMeeVCxqtWsWnDwcag0aC6Xi7WPNQ56bG7c+3nKh2siUIwk2yBLqg9CrUUOlKoE2OK9+GjyDoUjPMDRq8vb0JDQ1Fq9Wyf/9+jh49Wu2Ex8rblZ5738Jn6iDOfr+TvcHvknE8mTTLPD5sv4P5fuFY2FgycNIwHNyd2PX7Fk5HX6eLtAE4W/4lCP9S586d+eqrr/jP5P+jj1tF91lHR2v6929PYmI6UVHJ1e6rl+F4LpwUvZIEE6iLTuqNovSDBUoDizqYoa4ftoC97efTNM+WmT+9j2tIGy40tPp/gnAdjo6O/PLLLyQkJLDy09ex1oBKkhg0qBNt2zZj27ZYDh9Wbo6WGGDzBSgSMeo7igje3YJhHZsypa+Pcfv73adZcei8CUck1JbTF/OYs7ViIvli/1b4utqYcETCtV7o1wqz8lnXoTNZ7EwQF1tC/WvwWQu3QgLcgJ6AB5WuBqz0Wt48eg/PxvfAvEyDvbUdoaGheHl5kZSUxJ49e8jNrRrRUJlpaPPJaLptfo2SS1fY03UWyd/9TZG6lJ0ep5nvH47WUsd9jw7BrWUTwlb/zfH9sTWP0QAkomThCcK/NGXKFPr06YOzOfhb640BvK5dfWjZ0oXNm6PJzq6+lrFehoOZkFJ1da0g1Km7upO6B+BArWfgAXS18uO4x7e0Mfciy02m/faX+GPfjtp/I0GoI/369eOVV17h22+/ofTIRjTlDSxGjAjG19eddesOERd3Hhko1CsZeKIJ051DBO9u0WsD/Ogf4GbcfmtVLDHns004IuF2GQwy01bGUlym/GZr42HL5N7eJh6VcK1mDpaMC25u3J69JQGDWLYu1LNGkbVwqzSAPxAEWFHpqqBvug/z9g+jZZ4DlrKWdu3aERwcTElJCXv27OH06dPVZsG6DmhHn+j3cOrtR8aGaACK1WXsck9ivn84Gp0Z9457AE//lkRuCiNm18Gas2kNwHGUOniCcBveeecdZv7fQ9hoZCQqls8CrF17qMZzil6G3emQVX3ZR0FoNBrNDSgJaItS6qEOmKk1xP3fFhZPWoCZXs3ofe8RMLQ3OTV0WBeEhubDDz+kffv2rP5jOX3Ls8rVahWjR3fH09OJP//cz6lTachAXilsS4EyEcC7I4jg3S1SqSS+HNMRPzclK6ukzMDTiw+RmSeu6hqrJQfOciBZKWyjVkl8+nAgZmrxo1Fr2s2o+LoNz97ji7mZ8v8Sl5LLpri02hidIAgANii18FqjTJjKMx7ciqz5PHIwI862rdTMwsXFhbi4OPbv309RUdW2Zjo3O7r99Qqdlz2DJEkUJF8kNSLeGMBTadT0HjUA7w6tid55kIOb910/gHcUEM2mhdvg5OTE2jVrOLvpJ2P2nb29FQMHdiApKYMtW6Jr3LdMhq2pon6Q0Lg1qhtQZkB76nSmOt7uHuId5tE0rJDj6/fgGujFir821t0bCkIt0el0bN++nZ9//hk3C+jkqATwzMw0jBvXE1dXO37/PZxz5y5hAHJKlS60Iu+h8RMRin/BWqdhwaNdsDHXAJCSU8QLy6Mo04uQdmNzIbuQjzfGG7ef7uNNu6aN4KKmMQmcWfF1G1xtzXnsmgYic7aeEE1jBKE2SUBTIARwwXiFoEbFuKROfHB4IA7FFlhrLOnatSvt27cnMzOTXbt2kZ6eXvVwKhUaa3MA4t9cwYEHvyS/MM8YwJNUEiHD7sE/uB3H98cSvnYnBkMN51EDEA2I+mPCv/TCCy/Qt29fpr36Eh55ycYAXufOXgQH+7J//yn276+5C2WpAbaK5UeCUH8cgSbU6WzVUWfH+efCeeiV5ym5dIVRIx5k0JTHRDMLocFzcXFBpVJx7tw5EvduwNdGCeCZm2sZP74XNjYWLF0aRnp6NnoZLhaLLup3AhG8+5daOlvx5SMdjdthpzKZveU6xbeFBkeWZd78M5b8EuUE7eNixfP3tjLxqITrebqPD9Y6JWh+KiOPtdEXTDwi4W7SaJYc3S4tSsZDJ8Ac45WCX64L34aPoNtFT8wNGlq2bEnv3r0xNzfnwIEDxMbG1jjhCVwwieC1L6GxNqdIVcoWVTTz/cNBgqD7exLYJ4jEIwns/mMr+rIa0pv0wGGg+vJkgnBdKpWKn376CYAZz0/CVWcwXgQPHNgBP78mbNoUzfHjKdXuLwMFZbAjVWQvCEK9aYVyTqpjKwbNZeu8XVj4uvPXt4twCm5NzPH4G+8oCCb20ksvMXr0aOwun6SJhRLAs7Y259FHQ9FqNSxevIfLl/PQy3C+ACIzRQCvMRPBu9vQL8CNF/tVBHu+25XIX7G3WVk7ZmbFl1Cn/jh0nt0nlEJKkgSfPhyIuVkdFdgQaoWDlZYne3kZt+dtPyWy74R606iWHNUGe6AH4IVytSCBpd6MqXF9eOFYT6WZhZUtvXr1wtvbm+TkZHbv3k11wU0zWwsceyrny+RvtrOp/VSWHfyTr8sDeB36BhE0MIRzx5P4e+lflJaUVj8mPXAIKKybb1m4s7Vs2ZIvv/ySiIgIrC4cobwSAyqVxEMPBdOkiQMrV+7nwoXL1e5vAC6XwD6RvSA0Qo3yBpQK6EC9zFj7e3Yn5/MkOowbRE5MMh1DuvD653dmTxDhzjF37lx0Oh2PPjqBbo6lOGqVHxd7eysefTQUWZZZtGg3ubmF6GVIvAIxogxJoyWCd7fpxX6tuMfPxbj92h/RnEy/jYKnR2dVfAl1Jj23iPfWHzNuP9HTiy4tHE04IuFmPdHLy7hk/fSlfNZFV58lIQhCLVABLVGCeA4YrxpCM7yYHzEcrzxHLGUdbdu2pVu3bpSWlrJ3714SExNrrGHn0r8tFp6O7Bv+OXM/eZcvvHYhIxPQPZCQ4feQnpzCtkXrKC6sWksPgFKUAJ4oNSv8C48//jjHjx+ne9fOhJYX+galVtDYsT2xtjZn2bIwsrJq7kB7rgCixeRHaGQa7Q0oa8Cbepm1mmnMOPLEBj77+H+oLLTMfm06fiP6UlBNbVdBaAiaNm3KggULOHDgAB998D73eoC1mVIJxdnZlvHjQyksLGHx4t0UFBSjl+FYDiQ0ohi+UEEE726TSiXx5SOdaOFkCUB+iZ7/LD5EblENWQOCycmyzNurYrlSpCzNauFkyWsD/Ew8KuFm2VmY8UTPiuy7uX+fFNl3glDXzFGW0bZHWcKkApdiKz6LHMTDZ9qh1atxdXE1NrM4duwYERER1TazsPbzoFf4dLxeuI9T8zbz3kOT+K/2N2RkfDr40Xv0AC6nXWLzT2souFLDGtkSlACeONUKt0iSJFq2bAlA1M6/8DIvNQbwrK3NGT++J3q9gaVL91JYWFLtMfQyxOdAoqjBKAj1ozlKY6V68lrHxzk//xTu/Ttxwq+IkOWvUVJTRrggmNioUaN47LHHeP/99zl0IIL7PEBXvpisSRMHxo7tSVZWPkuW7KW4uBS9DIcvQ5JosNzoiOBdLbCzNOO7CV2wKF9yefpSPq/9Ho1BBBQapLXRKWyLzzBufzwyEAutWC7bmFTKvruYz/oYkX0nCPXCGaWhRTNApTSzeCS5Ax8duh/HYktsyptZBAYGcvnyZXbu3ElaWtXO0GpzLe2+Gk/XtS+Sfy6Tjx6YxKMx0zHIBpr7e3Hv+MHkZ19h809ruJJVTYREBopQauCJuuLCvxAREcGgQYPY9P1HWGqMDZZxdrblkUdCyMrK57ff9lFWVv0HTC/DgUxIFUu4BaHuSSg3j6yot9mru40zqdMO8x//sUQ7peH35EDmzp1bc2d0QTChuXPn8vLLLxMQEICFBgY2wVgaomVLF0aN6k5qajbLlyvnNb0MEZcgpcC04xbqvUI+AAAgAElEQVRujQje1ZIAD1s+fqi9cXvLsXS+3ZVowhEJ1bl4pZgZa+OM2492b0EPHycTjkj4N/6ZfffVdpF9Jwj1Ro1SRDwYsFW2W11x5tuI4YRktMDcoKFFixb07t0bCwsLIiMjOX36dLWHch/aiT7R72Ef1JIlr3xI8Pz7ycnPwcOrKfc9NpSSomI2/7iarIxqapDJQAFwBKUYmSDcgu7duzNu3Dg+eP89HFMOoZEqnmvZ0oVhw4I4c+YSa9ceqnGyrpdhVxpkVZ+gJwhCbdKhnHeaU68z2O88X+SR9M4kn0rg/V/m19wVXRBMyNbWltmzZ2NnZ0dZWRk2ZtDfo6I0hJ9fE4YP70py8kVWrNiPwWBQzmHpcFGsCm80RPCuFg3r2LRSQGH2lgR2lTdEEBqGmWvjyC5Q0t6b2lvwxgP+Jh6R8G890dMLG53IvhPqT6Ms9l2XrIAgwA/QgIVsxivHQnk5LhSLa5pZeHh4EBcXx8mTJ6s9jEVTB3psfwO/d0dwaO02+v4wAhkZ56ZuDJw0DIAtP63h4vn0qjsbgFwgBiWYJwi34Ouvv8bV1ZWnn5hID4ci4yQHoH375txzT1tiY8+yY0dcjccok2FbitKJVhAasjviHKYCfFDKOJSXcKgPS1tMY8CTk7j4ZgDjfv+ExMRENmzYUD9vLgi34MKFC3Tu3JmVK1fipIM+19R2DQxszgMPdCQhIcV4Y0ovw/ZUyBJ1hBsFEbyrZW8O8ifYS2l8IMvw4vIozl0W+agNwV+xqWy4phvwRyPbY10e/BEaHztLMx6/pvPsXJF9J9SxRlvsuy5JgAfKUlp3QAUhF1vwTcRwfHOdsJR1dO7cmaZNm3L8+HHi4+OrzWKS1CpavzOMkF1v4v7ZYOb57yO/KB9bZ3sGPjEcrYWObYvWkXr6fNUxGIAs4BgigCfcEgcHB3788UeOHTvG3Pen09WJSgG80FB/OnVqyZ49x4mKSqrxOCUG2Jqi/CkIDdUddQ672g3dmXqZzapUKja2eJeQHB9+tz7M4MnjGTJkCM899xyFhWLtvNBwuLq6otPpmDx5MikpKTSxhOBrzm3Bwb7cc09boqPPsGlTNLIsUybD1lS4Iso6NngieFfLzNQq5o/rjJutDoDsglKe/vUQRaWiKI8pZeWX8M6ao8bt0UHN6N3a5Tp7CI3Bk9dk3yWK7DtBMB0zIADoAliCU6kVnxwaxCNJgZjLZnTq1InmzZtz6tQp4uLialyG6NSrNWb+zux2PU3I/MGMmDECa3sbBj4+DGsHW/5eupGz8dUEUQxABlB9cp8g1GjgwIFMmzaNoKAgfG2hlU3FJEeSJAYP7oyPjxvr1x8mMbGa7E+UmHF+GexIA3EPSRDqiQalDl4ASjkH6fovv11qlZodnh/T4aI7Cc96EDx8APPnz6dLly4cOXKkbt9cEG6SmZkZv/76K0VFRUyaNAmDwYCPLbSzrzi3hYb60717Kw4cOMWuXfGAcvNps8gib/BE8K4OuNjo+HZCF8zKf0LiUnJ5e9VRUeDUhN5df4xLeUpRGjdbHW8PbmPiEQm1wc7SjMd7tjRuz/v7lMi+EwRTsgW6A76gUks8fK49HxweiKVeS4f2gXh5eZGUlERMTMx1z4nFGj3qwV6oB7YECSxtrBgw6UEcPVzY/ccWEo8cr7qTAbgA1JwgJQjV+uijjxgzZgwAnZ3ARVdxgaxWqxg1qjvOzrb8/ns46enVLzk0AJeLYd9FZeWFIAj1xB3lvGNNnc9stWozwpp8SutcVw5OsmXyx9PJzs4mODiYzz//XNTDExoEPz8/5syZw9atW/n6668BJXjnba0E8CRJYsCAQDp2bMmuXceIiFDufBbrYUuK8qfQMIngXR3p3NyBGUPbGrdXHj7Pr/vPmnBEd69tx9JZFXXBuP3hiPbYWZiZcERCbXqiV0X23amMvEpLowVBMAEJ8MS4pMkvz4VPDz6AlV5Hu4C2tGrVirNnzxIVFVXjREeSJJo92xf1212Z57+P1WGrmblkFn3GDsTNqwn71uwkPiKm6o4GIBmoZnWtINzIvHnzePmlF+njTqUOtDqdGePH90Sn07B06V5yc6tfJqeX4Vw+xGTV35gFQQDMga5AC+p8dmtlZkm4y6c0y7Hhp9YJvPnDlwwaNIjXXnuNAQMGcOHChRsfRBDq2OTJkxkyZAjLly/HYDAgSRDsDO4W5YmqksTQoZ0JCGjK5s3RREefUfqAlSlLaMtEHLpBEsG7OjS+W3Me7tLMuP3uujgOnRFXdPUpM6+YaX9WTPCGd2xCvwA3E45IqG32ltpK2Xei9p0gNBA6IBDoCC1UDnx+aDB2ZRa0aR2Av78/Fy5c4PDhw9fNVCjW6NnjlsS81D/4ePnH9HujH173BNA8wIuDm/cRvSOyagafAWX5bFodfm/CHen8+fPMnTuXrZs20t+DSh1obW0tGTeuF0VFpSxbFkZxcfXFgfQyHMuB01fqadCCICgkwBulfIOOOp3lOprbEebwMY4FFkwtWsmT/53K999/T3h4OIGBgaxataru3lwQboIkSSxatIidO3eiUqnKH4PebmBfnl2uUqkYOTIYLy9X1qw5yPHjKUofsFL4O005nwkNiwje1SFJknh/eDvaNbUFoFQvM2XJITKuiH7M9UGWZd5eddS4XNbVRlcpG1K4czzRy8vYfORURh4bRfadIDQcDkAwNPGz5Yv4ITiWWODv05q2bduSmppKZGQken3NazSKNXoc5z3ApG9nEX82ni5TupDqkoVPRz9idh8iclNY9QG8eCCzLr8x4U7z7rvv0q5dO5566ilKrlzmHo/KDSzc3e0ZNao76ek5rFgRUWPgWS/D/kuQJurYCw3IHdFt9mZcLd/gSp3OdJtZurLL8l0sS8wYd2oe/qHdOHz4MF5eXpw9K1ZbCabn4OCAVqslOzub5cuXA8o5rZ8HWJVnl2s0asaMCaFJEwdWrIggKSkDgwyZxbAnXdRxbWhE8K6OmZup+XZ8F+wtlWWa6bnFPLckilK9yEWta6uiLrApriL14pOHA3Gw0ppwREJdqS77ziDONkItu2smPnXFAZw7WjGnZAhuJda0buFLYGAgGRkZ7N+/n7KymqskF2v05D3lw4vb/kebFm0Y+8FYfjy1hJadW5Fw4Cj7Vu+oGkgxADFAdp1+V8IdRKfTsWjRIi5evMizzz6Lq3nlLn0Avr7uDB7ciVOn0tmwIarG2o16GXamQXZJPQ1eEG7gjuo2eyMaoG35Vx02s/CzbcFGzVtISAyL+pQSnRn79u3j+eefB2DDhg1ERkbWzZsLwk365JNPGDduHDt27ABAq4L7moCuPBKk1WoYP74XTk7WLF++jwsXLqOXIbUQIkQd1wZFBO/qgaejJfPGdkJVfuI4kHyZjzZWU2xbqDUp2YXMWBNn3B7frTn3+LmacERCXXvymuy7k6L2nVAH7qqJTx2yt7VgtvkQPLHD19ObTp06cfnyZSIiIigtrX4pIkCxpoxjQcWM3vgx08ZO48dNPzL5z+ewaGPP6ZgT7Pp9C/p/BgANwBFALGEUblKnTp2YMWMGv/32G9HR0fj8owMtQJcu3vTs6cfhw0mEhSXUeKwyGbaK7n2CYDquKPVXbamzWW83xzaskF+hyKyM/mEzSbl8GZVKhcFg4K233uKVV14RTQsFk5o+fTqtWrVi4sSJZGUpJbwsNUoAz6z83GZhoWXChFCsrHQsWbKXixdz0ctwJh+iLptw8EIlInhXT0JbufDqAD/j9o9hSaw5Igqa1gWDQeb1FdFcKVaulls4WfLWoAATj0qoa//Mvpv3t8i+E4SGyhotn6gfwEfliHfTFnTp0oXs7GzCw8MpLi6ucb9iTRn7mp3H47MhbP5kC9n52Uz4cRKp7lmcT0hm+5KNlBb/I9VJDxwGCur0WxLuINOmTSM8PJwOHToAVTvQAvTr14527TzZvv0oR4+eq/FYJQal+HepWHAhCKahQ6mD50WdzXwHOAfxU/F/yLYoInTrm2RkKQG8nTt3smTJEiRJIjMzUyynFUzCysqKJUuWkJaWxpQpU4zBZDutsoT26s0pGxsLHn00FLVaxeLFu8nKykcvQ0IuxIlVDA2CCN7Voyl9fRjYtqJZwhsrY4hPzTXhiO5Mv4QnE3ZKKXSkkmDO6A5YlWdkCXe2a7PvTqTn8ddRUbFeEBoqc8x4n4G0ldxo6dGMrl27cuXKFcLDwykqqrk2bLGmjD3uycSPsyBqwREGBg0kNLQvPUfcS8aZVLYuWkdxwT/2LwMOAqLkrHATNBoN3bp1AyA2NhYJuUoHWkmSGDYsiObNnVi9OpKzZy9VeywZyC+FHWmidpAgmIwEtASCUDrT1sEM+BH3e/iyYAKpNnmErH2DKwUFODg40Lx5cwBeeuklAgMD+e2332r/zQXhBoKCgpg5cybLly9n2bJlxsedzSHUtSKA5+BgzaOPhlJaqmfx4t3k5RWhl5Uu6okibGFyInhXjyRJYvaoDni7WAFQVGrg6V8PkVNQ8zIh4dacTL/Cx39VLEl+uo8PXVo4mnBEQn2yt9TyWEgL47bIvhOEhk2Lmv/Sjy40o7lbU7p160ZBQQH79u2jsLDmav/FaiWA93uPU6x6bzU92vTAO7A1sfaJhCfsZ/PPayjIzau8UxlwCBA1yISbtHfvXjp06MDChQsxU6F0oL3mylmjUfPIIyHY21uyfPk+MjOrX59tQCn+HS5qBwmCadmgNLNwp05mwc94PMjMnGGcdsiix++vUVxSkUk+c+ZMAgICGDNmDBMnTiQ3V0RChPo1bdo0Xn31VXr37l3p8WZWEHRNfVdXVzvGj+9FXl4Rv/66h8LCEvQyHMiEc/kmGLhgJIJ39czG3IwFE7pgpVUDcCazgJd+ixIBhlpQVKrnuaVRFJcpa1MCPGx5qX9rE49KqG9P9vLGsvzn63jaFbYcE9l3gtCQqVExlT6E0pKmzu50796d4uJiwsLCyM+v+SrxagDva/99GJDJK8xj1aHVpDpeIj8nj00/rSH38jXNRWSgGCWAJ2qQCTchJCSEvn378vLLL5OUlIS1GdzrXrn+naWljnHjeiFJEkuW7CU/v/pl33oZzuZDbFY9DV4QhOqpgQCgPXXSzGJ6swm8eLkfcU4ZhC59w9hN3cfHhz179jBjxgyWLFlCx44d2bdvX+2+uSBch1qtZvbs2TRr1gyDwWD8bAK0soU2dhXnt2bNnBgzJoRLl66wdOleSkrK0MuwN0N0UjclEbwzgVZuNnw2qoNxe0fCRb7aftKEI2pEYmZWfP3D+xuOkZCu3PXWaVR8+UhHtBrxEb/bOFppmdijpXH7q+2nRHBcEBo4FRLPE8L9tMbD0ZUePXpQVlbGvn37uHKl5m4TVwN48wLCsLSw4tC3h/j6tW8Y8NhQEi+dZuk3P5KVnlmxg4yydPYwSi08QbgOlUrFTz/9hCRJTJo0CYPBgEs1HWgdHa0ZOzaEK1cKWb48jNLS6j9cehnicuC0aKAimIDomP4PzijNLOyo9RnxF57PMPFiNyKdznPfkunGbugajYaZM2eyZ88eZFkmNDSUmTNnXrfbuiDUtoKCAgYOHMhnn31W6fFAB2hpVXF+8/Z246GHunHhwmV+/z2csjK9sZN6Zs3liYU6JCIbJjKovQf/6eNt3P5q+0k2ifpcN3Z0VsXXNTYdTeXXiIoisP8d2gY/d5v6Hp3QQPxfqBcWZkr2XXxqLlvj0008IkEQbkRC4km68jDtcLN3IiQkBFmW2bdvH9ebbBary9jrdoZ5AWFYWVpjrjXH0cOFXy78xuth7/Dhp7O4eO6a86sByAeiy/8uCNfRokUL5s6dy+7du/nyyy8B8LGF1raVA3jNmjkxcmQ3zp+/zKpVB2rsLqmXYf8lkbkg1D/RMb0aOqAz4EOtz4p/8nyVoRlt2eFwkoeXfVDpuZCQEKKjo5kwYQKzZs0iNDSU06dP1+4ABKEGFhYWODg48M4773D48GHj45IE3VzAzbzi/BYQ0JShQ4NITExn1apIDAaZMhm2pUCOKENS70TwzoReH+BHT18nACxVhZza/ipl8jX/JTEzoDSvhr2Fq85nFTB1RYxxe1B7d8YFNzfhiARTc7LWMbFHRe27udtP1jiRMrnrZJMKwt3oETowkS442zoQEhKCSqUiPDycrKya1xteG8AzICNJEqveXYWvpy+zo+cx4Z1xnD5+TYa7AcgBjqJk4wnCdTz22GM88sgjmJmZGR/r7Agu5pUDeAEBTRkwIJD4+Ats3RpTzZEUVzMXssXERxBMTwKaA10BC2ptdqxSqVjdfAa9M7xZZRvNE3/MqfS8ra0tv/zyC8uWLSM+Pp4ffvihdt5YEG5AkiS+++47XF1dGT9+PAUFBcbnVBL0cQM7s4ofhU6dWjJgQCDHjp1n/frDyLJMqQxbUiBfJI3WKxG8MyGNWsXXYzvj7yyxyvdVnnJagUa6Jg0g/lPY0l0E8K6jTG/gxeVHyC1SfnM0tbfgo5GBSFItF7AQGp2nQr0xN1N+xcWl5LItPsPEI6pBDdmkQsMjlhzVn6EE8AzdcbS2o2fPnpiZmREREUFmZmaN+/wzgNeqWSsivt7P8w8+x5bzO7jnjXvZvmNrxQ4GIBOIRyyhFa5LkiSWLVvG888/f81jygTHUl25ZFb37q3o2tWH8PCTHDhwqsZjlsmwNQXyRM8yQWgYrIFugAe1GsDb5vkhXS425Sfzfby+tmqAbsyYMcTGxjJz5kxA6XB9vZtVglAbHB0d+eWXXzh+/DhTp06t9Jy6vEHTtR3We/RoTe/eAURFJbFtWyyyLFNigL8uiPNYfRLBOxNzsNKypOceWmjTMFf94xasvgjyEiH+s+p3Fvhy20kOnVFOcGqVxNyxnbCzMLvBXsLdwMVGx4RujST7TmgUxJKj+tUPX14lFHtLG0JCQjA3NyciIoKMjJoD8UoAL9kYwNNpdcx9YR6rZ6wmuyyXQR8N4aMFH1T8LjAA6UAYcAGxjFao0dWbgitWrGDOHCWDxkwF/ZtU7kArSRL339+R1q092LTpCAkJKTUes8QA68/DedG9TxAaBjXgDwQCGmqlmYWZWsPuJp/gn+nM5/JmPt68rMprPD090el0lJWVMXLkSB566KHbf2NBuIH+/fvz8ssvs27duirlSbRquK8JaK85v/Xt24auXX3Yt+8EYWEJSh8wvRLAuyICePVCBO8aAKeU/1UN3F2lL4KT39bvgBqJHQkZzN9ZcVf7lfta06WFgwlHJDQ0k/t4oyufVcVeyGFHQgPNvhMEoVo9aMHb3IO9hTUhISFYW1sTGRlJWlrNNWKL1Xr2uiUztzyABzAsdBgx/4uhjas/b/0xncGvDCInr/xC1QCUAieBfSjBPBHnF2qwZs0apk6dysGDBwGw0lTtQKtSSTz0UDc8PBxYuXI/KSmXqz2WjJKBtycDDmWC6K0kCA2EE0ozCwdqZbZsaWbOPtfPaJFjxzsFf/LD7g3Vvk6j0bB06VI+/fRTAIqKiigpEevrhbrz4YcfEh0dTXU3pq00SgBPU35+kySJBx7oSPv2zdm+/SgHDyYqAbzyDDxRA6/uieBdQ1Bc8zKgm3r+LnSm2J0Xl0VxNXmip68TT/fxMe2ghAbH1cac8ddk3321TWTfCUJj04mmzGIAdjorevToga2tLQcPHuTChQs17lOs1hPmlszcNhUBvBYeLdi/MJKnuj7G5tgt/LTkf5V/H+iBYpRltOEoS2rFrwvhH+bNm4e7uzsTJ06ksFDpOuFiDt2cKwfwtFoNY8f2xNJSx9KlYWRn15xep5fhRC5sugCFon6QIDQMWqAj0AolI+82s/AcdDbsc/gEl3wrnr+4iBUHd1X7uq5duxIUFATA1KlTCQkJISEh4fbeXBBqYG5ujr29PSUlJfz8889V5kn2WrjXo+L8JkkSw4YF0bq1Bxs2RBEdfQZQMsk3pUCWCODVKRG8awh0Trf3/N2gNE9p4AHIMtirr/CE3S9YqgrxsDPnqzGdUKtEnTuhqqf7eKMtz76LPp/DzhMXTTwiQRBuVRtc+Yj7sdda0aN7dxwcHDh8+DDnzp2rcR9jAK9tGAaVcjGq1WlZ8MGP/PbYYpzSrIj8ay+RxyMxGK5ZL6sHCoEYIBLIrsvvTGhs7O3t+fHHH4mPj2f69OnGx71tqnagtbY2Z/z4XpSVGVi6NIyioppnNXpZmfSsOw/pohOtIDQMEtAM6Fn+p4rbCuJ5WDqzx/p9bIq1TEr6jh1xUdd9fd++fUlKSqJz58788MMP4ga0UGeWLl3K448/zsKFC6s852oOvVwrzm9qtYqHH+6Ot7crq1dHEhOjBPBKDbDlAmQW1+fI7y4ieNcQtJoCavNqnyoyaDnr9Fg9D6iBKc1TGnfEKynkkgR2mnyedlnJat/X+G5Ma5ytdSYepNBQudqaV+o+LLLvBKFx8sGJzxiEg5k1Pbp1x9nZmSNHjpCcnFzjPsWq8gBecBgGMxnUSgHxhyaMpU2PDuzavYOQF0KYsfC/VXc2AFeAKOBw+d8FARgwYADPPPMMX3zxBXFxccbHOzsqk5xrA3guLrY88kgPMjOv8Ntv4ej1NRdWlFGyF/5Og9gsEKcqoTaJpku3wQxojbKU1pXbmkH72DRjm/a/aAwSI2Nnc/j0iRpfO3LkSGJiYujRoweTJ09m5MiRXLp06d+/uSDUYOLEifTr148XX3yRkydPVnne00o5x109v5mZqRkzJgQvLxdWr44kNvYsAKXlzZguFdXn6O8eInjXEAS8DtY+VQJ4RQYtZ0rceXhnT+JTc000uAYg/jOlcYe+8m8Bc1UJ3hZpdLjyPxMNTGgsnu7jg1at/Lo7ci6b3SfFhY8gNEae2DOHIThprOkR3A03NzdiY2M5darmrp7Fkp4wq2TmhoZh8JXBDCSNROf7ujNk+HCe9JtA03OOHNoaTl5eNd3dDUAWcBCIBgrq6JsTGpXPPvuMFStW0LZtW+NjkgS9q+lA6+XlyoMPBpGcfJG1aw/e8AaSXoaj2bAtVSkGLgi1QTRdqgXmQDugK7dVD6+DQyvWMJUStZ77I94jMeV8ja9t2rQpW7ZsYfbs2WzYsIHAwEC2bt1a4+sF4d9QqVT8/PPP6HQ6JkyYQGlp1Q4Ufnbgb3ttAE8pD9GihQurVh3g6FFlNUSZrJy/MkQAr9aJ4F1DYGYNAyIgoKJNs16WWJwzmhGnPiejyIzHf4okJfsuXUdx8psqgburNHKxaOgh3JC7nTljgj2N219tOyGy7wShkXLDmjkMwVVtS/egYJo0aUJ8fDwJCQk1/lwXoydMSuarZnsx9JLBDySdREDPQOZ8+DWBXToRs/cwnR/ryP+99yRFxdWccwwodfD2A8dQ6uMJdy0rKytGjhwJQHp6uvHxqx1ozf5xhd2hQwv69m1DTMxZdu06dsPj62W4WATrzoklSILQ4FgDnYFO5X9X3/oh+jh35NeyKeTqSui9fTqpmTXXOFepVLz66qscOHAAe3t7BgwYwKuvvkpxsfjlINSeZs2asWDBAg4cOMCHH35Y7Ws6OkJzq6oBvObNnfnzzwPExVUE8LanQtpdGr6oKyJ411CYWUPgLOOmWpLpOWI+KjMbANJyi5j00wFyCu/CPsyioYdQC57pW5F9d/hsNmGnxOdGEBorJyyZw2Caquzo1jkIT09PTpw4QXx8/HUDePs4w1eqvRg8ZOgF+IOlsxUhI+7hvklDaeXiy/92/Ujgo+04cDCi6kFklCBeGkpn2hMonWqFu1ZYWBheXl5s2FDRPdJKA/f8owMtQO/eAXTs2JJdu+I5ciT5hsc2AEUG2JICCTliGa0gNDj2QDDQFiUr7xaDeCNcezO/aBIZ1vmEbJhKdt716zN07NiRgwcP8uyzzzJnzhxmzJjxLwcuCNUbNWoUM2fONN6c+idJgh4u4KKrOMdptRrGjeuFp6cTK1ce4NgxJZNUL8OONEgRKxZqjQjeNWBtmtiy4NEumJX/ZJxIz+PJnyMpKLm7WpEZtI7Xf4Fo6CHcBA87C0Z3bWbc/mq7yL4ThMbMFnM+YxAtJUe6duhMy5YtSUxM5OjRozcI4J3lK/ZikGRwB0IAb2jm25z13/3F/EnzSMlNpc/b9/Dfj94iL7uaydTVIN4FYC9wGri7Ts1CuaCgIHx9fXnqqafIvCZzproOtJIkMWRIZ7y9XVm37hCnT6dXc8Sq9DJEXYZd6UpBcEEQGhAJcEE5l7RGqY93CzPsJ90f4MMrozhjl0OPla9TUHT9tYaWlpZ8/fXXbNy4kTfeeAOAy5cvi2taodbMmDGD9u3bA1BWVvXiRiVBX3ewNav4qGu1GsaP74WnpyMrVuwnPv4CoJy/dqXDuZobrgu3QATvGrievs7MHtXBuH3wTBZP/XKQotK7owhKYYme33IepMigrf4FanNo9Uz9DkpotJ7p62sMhkcmZxGeKLLvBKExs0TLR9yPn+RC53Yd8PHxITk5mejo6OsE8MoqAnjIypVQCyAEJA+JKROf48gP0fh5tOa97R8x5Ln7Cd+8m9KSalLsDOVfZ1CCeGfLt4W7hk6nY9GiRWRmZjJlypRKz3nbgN8/OtD+P3tnHlZlmf7xz3sO+yq7gKiogLIIKlhqilqa2WZaVmpmi1OWLZNT/cppphmnmbLJ9mbKajR3S81szyUXUFxQAZUDbgiy7+sBzjnP749XFhWQVQGfz3WdC8457/s8D3rgfp/ve9/3V6vVcN99I3B1tWfdur0kJ2c0ax6DgIwK+D4NChs3rZVIJNcKBfBCdab1Rc3Ca+ZO+0Xv6bxYOIlE51xuWvsS1Q0IJpdy22234eTkRFVVFRMmTGDOnDmtXrpEcilCCB599FGeeOKJBt8308AET7C/RMCbMeMmevVy5ptv9pGYWCfg7cmGsw20FZa0DCnedQHuDvuzgmsAACAASURBVPPmr3cG1j6PPpXHkysPUWno3gJelcHEkysPsejUZFKqel4u4GmtVKOPQS9emwVKuhzePay5d1hd77v3tl3upiSRSLoWlpjxNyYQqngRNigYf39/UlNTiY2NxWRqWEm7TMADsAACgQgYEDSAg8sO8eK0P7Ercy/TPprO+/98i9NxjWTsmgAjcApVxEsHZBLEdUNYWBivv/4669evZ+3atRe9N+SCA62mnoBnZWXOrFmjcXa2Y82aKPbta54LulFAmQF+Og+npfuxRNI50QJ9UUW8Xqi7baWpE1Te6vU4j+eM4rBLOjeveqXR+HUp5ubmPPLII0ybNg1AZuBJ2gVFUfDy8uLLL79k48aNDR5joYVbvS/OwLO0NGfmzJvw8nLi66/3kZiYDqjxa2+OjF1tRYp3XYRHRvny4q0Btc9/1+Xw7JrDVBu75y1+o0nwx3VH2JmUQ7nJmntOvoPO+cmLDxr0kmr0YW53bRYp6ZI8NbY/Zhd2UfvP5MvsO4mkG2COloWM40alD4MDghg0aBDp6ekcPHgQo7HhG101At477KKkvvuEHRAOZoPNWPzc22z991ZMFvBK9N9Ys+Irfv7yW3LPN1LuaELtgZeE2hMvGyniXSe89NJLjBgxgsTExIteVxSI9ADbSxxo7e2teeSRsQQEePHLL0f54YfDGJt5TWcUEJML0dnQTS8DJZKujzngh1pO60Gzdt1L+/yRqdmh7HY+w12r/3blE1BFlvnz53PXXXcBqhP2/PnzqaiQTgGStvHXv/6V8PBw5s6dS3p6eoPHWGhgojc4Wlwq4I3G09OJr7/ei05XJ+DF5EJy8VX6AbohUrzrQjw9bgDPjB9Q+/yXY1k8tSq225XQCiFYuCmeH+LrSkkeHzeY0MnvX3zg4L9J4U7SYnycbbh32MW97ySS5qAoyp2KonxWVFR0rZciaQAtGl5gNOPoR9CAAEJCQsjKymL//v0N9mwBVcCLIZVH+JpP2EsOF2o6anoYjYLx08aTsCyB1x9+nekPzqS0oJgflm4g6tvtlJc00sTFCOiBY6jutPnt/uNKOhlmZmb8/vvvvP7665e/14gDrYWFGdOnj2DUqAAOHTrNqlV7qKhoXk2sUUBKGfxwHkqlaYpE0nmxRDW0GA44c8Xd99e9FzI+ewA/OB5j1trFLZ4uPz+fjz/+mPDwcI4ePdqKBUskKubm5qxcuZKKigrmzJnTaDaohQYmekEPi7o2ETUZ5j179mD9+r0kJdUJeAfzIFFeSrcKKd51MV6Y4M/jN/nWPv/teBZzvzrYbUwshBC88cMJ1h5IrX1tzsi+/PEWv2u4Kkl34+lxA9BeyL7bdzqfmNMy+05yZYQQW4QQf3B0dLzWS5E0ggaFedzInQwioG9/wsLCyM3NJSYmhurqhhWOKoxUYWQrJ3mSb/knOzhTo7ZpgL7gepsrCxcsxC98EKHTR7BI9w7bon9j84driN8di7Gx/kQmoAw4ChwA5MVqt8bCQm3vsWfPHtatW3fRe7ZmML4BB1pFUbjllhDuvjuclJQcvvhiO3l5zasrMgooqVb74Mlm4BJJJ8cWGAIMBexp1JlWo9Hws88/GJ7jwyrb/Ty36T8tmubNN9/k119/paCggOHDh7NkyZJml+BKJJcSEBDAkiVL2L9/P8nJjbcbMq8n4GnqCXgPPVQj4O2r7fFaY8J0rPBq/ATdCynedTEURWHh7YN4Yky/2td2J+fy8Jf7KdZ37VuvJpPgL5uP8fmeM7WvTRvai7/cEYiiNKNZhETSTHycbZg6xLv2+QfbZe87iaS7oKAwm2E8QCj9ffoydOhQCgoK2LdvH1VVjWc1GTBRjZH9pPIiP/IyP3KUDASiLnMiHKqsqnB2cWHKIw/g2d+HI9v3s/njdaQcP914ryETUAzEAocB2bS5W7No0SIee+wxTp8+fdHrrlZwo+vlAh5AWFhfZs8eQ3l5FZ9/vp2zZ7ObNZdANbPYkw0Hc8Eky7Qlks6NIxABBANWNCjimWvN2OX9JsG57nyo3cbfflrZoikmTJhAXFwct912GwsWLODWW29ttOxRIrkSTzzxBDqdjoCAgCaPqzGxcL4oA8+CWbNG4+7uwLp1ezl5MhNQBby4AoiTlQktQop3XRBFUfi/2wbywgT/2tcOnC3gwc/2kVXctL14Z8VgNPHiN3Gs2JdS+9qkoJ68NS0EjUYKd5L2Z/74uuy7qJN5HDwro8e1QlEUf0VRtimKknDh+WBFUf58rdcl6dpMI4THiMDXuzfh4eEUFxezd+9eKisrmzzPhKAKIyfI4Q22M49v2cNZjJjAHoIfCCbm9xgGDw4l8oGJHHbUUWgoYtfXv/Lb8u/Iz8xtanC1hPYAEA/IlkTdks8//xytVsucOXMu67no24ADbQ19+rjx+OPjsbOzYsWK3cTGnrn8oEYwCkgugZ/PQ3n3KMaQSLovCuCK2g8vALU/3iW7ckszS6J6LqZfgROLKjfz0Y5vWzSFq6srmzZt4rPPPiM6OpqQkBA2bdrUPuuXXFcoioKHhwdCCFasWNHkdZSZBm7xBGfLujhnbW3BQw+Nwc3NgbVrozl1qk7AO1YEh/NA+qw0DynedVEUReHZm/348+2Dal87ll7M3R9FcSy9a9XlVBlMPLf2CBti02pfuyvUiw9nDMFMKz+iko6hj4stU8Lqsu/el86z15KlwCuorf4RQsQBD1zTFUm6BbcRwDOMpHdPbyIiIigtLSU6OrrZjbz1GEinmA+J4hG+5ntOUKkYUDwUGAXJIpml2z7nT3v+TFGfSgqzC/jh02/Yt2UnFWVNzGFCNbPYByQCzWtzJuki+Pj48MEHH7B7927efffdy94f4gwelzjQ1uDsbMdjj43H19edLVsO8euvRzE1M53OKKCgCrakQaYUhiWSzo8CeAI3Af1Qs/DqbX0cLOyIdnmLniV2LChYzep921s2vKIwd+5cYmNj8fX1ZerUqQ3+TZJImkN0dDSzZ8/mtddea/I4Mw3c0hNcLxPwRuPqan9BwFONv4wCEovhkBTwmoVURro4j4/ux1vTQmoziDKL9dz3371sO9GIE14no6i8moe/3H+ROcUDET68e38Y5lK4k3Qw88cPqN087U7O5VBKwbVd0PWLjRBi/yWvydwRSbsQST9eJhIfd09uvPFGKioqiI6Opry8vNljVGCgED3LiWU261nFYYq1evxv9ufwwcP08+nHMyufZ7vZPvoO9efkER2bP1zD8b1HG3W7BVQRLx2IAk4hP/XdiNmzZzNlyhQWLlx4WZ8gRYExHmBv1rCAZ2VlzowZo4iI6M/evcmsWxdNVTN7Gwug2gQ7MtVyJLkZktQgTZc6MRqgD6qI53Ph+YW/De7Wzux2eIMeFVY8nvYZv8QdaPHwAQEBREdH89prrzF16lSAxts8SCSNMGrUKJ544gn+/e9/s2PHjiaP1WpgvCe41RPwbGwsmT17DC4u9qxdG8Xp03UCXnIJ7M+VMetKKNfiFzc8PFwcPHjwqs/bJVhd7ypuRvP/b3Yn5/DUqlhK9OrFnUaBBRMDmBfZv9OWnZ7NLePR5Qc4nVPXZfmRUX2b7nEX93rd94Nfb/gYiaQF/HHdETYdPg/AGH83vnp0+NVdQCt/5zsSRVEOCSHCr+J8PwHzga+FEEMVRbkXeEwIcdvVWkNLkDGsaxJHBv9gOxkFOcTExKDVahkxYgR2di13LTdHiwKMox/3MhinKgteXfAq73z0DiH9Qlj61KeUHssn/WQqDi6ODJs4Em+/3k33b63ZrPUHvJG3V7sB2dnZrFmzhvnz56PVXt7YymCC6Bw4X65uXhpi//6T/PzzUdzdHXjwwVE4Oto0e36tomY+jPEAy0aa43dTOueFbydBxrAuQCXqDZ0sVEVeQELhKUZX/wWTIvht6GsM9xvU9BhNIIRgypQpREZG8sILL7TToiXXA2VlZQwdOpTy8nLi4uJwcnJq8nijgN8zIVtfF+fKyytZvnwX+fmlzJgxCl9fd0CNWX1sYYSbepPrOqbRn15eGnYTRvu5sXHeSHo5WQNqw+K3f9Hx8P/2k1PSdH+fa8HW41nc9dGei4S7P030v7I5xeDX6x4SSTtQP/tuV1IOB2Tvu2vB08CnwEBFUc4DzwPzru2SJN2NwXiyiIl4ObkzYsQITCYT0dHRtCYLpfqCQ+02TvIU3/K2xR7mffgKP/7wI5lFmYxbeDOnndIZ9+AkQGHHmp/YvupHCnOa+PtiAoyoG7YoIBN10ybpsri7u/Pcc8+h1WrR6y/vSWymgdHuMMy54R54AMOHD2DGjFEUFpaxdOk20tKa745uFJCjh+9SIbdrtkSWSK5PLIFA4AbAGdBAcI/+/KD9P0waweSDb5CYdq7Vw+v1eiwtLbG0tGynBUuuF2xtbVm1ahWZmZk8/fTTVzxeq8C4nmqriEsz8JydbVm9OqrWoMkoIKVMNWCS5ksNIzPvOhttzMLJLa3kqZWx7K8nQLjZW/Le/WGMGuDaHitsE1UGE+/8puPTnXUObJZmGt6ZHsodg72u4cok1zMvrDvCxgvZd8N9nVn3hxuvnsOxzLyrP68toBFClFztuVuCjGFdm7MU8Ao/k1WSx959+6isrKRPnz74+/u3eiOjoGbj+eLExAwv3pr1Itu2b+O+yPtY+sfPSE84x9HfD2KoqiYgIojBY8OxtLZqelAtYIHazNwZmUvUhYmJiWHKlCl89913RERENHhMXiVsz1BLXk0NvJ+TU8zq1VGUllZw990RBAf7tGgNWgXCnGGgw3WR0dD9f8I2IGNYF6QY0AGl8H3WPu4zf5ceFVYcvPVtvN3cWzVkjQagKArffPMNRqOR+++/v/3WLOnWfPLJJwQEBHDzzTc363iTgF1ZkFFRl4FXVqZn+fJdFBaWMXPmTfTp4wao8crTWs0a76QFhB1Noz+1FO86G+2wkTcYTby3NZmPfz95Ud34zBt68/JtA3GwMm/jIlvH8fRiFnx9lBMZxbWveTla8cmsYYT59Lgma5JIAM7llTP+nd8xXLjN89Wjwxnj73Z1JpfiHYqi9ABmA30Bs5rXhRDPXq01tAQZw7o+6RTzMj+SW1lCYpKOlJQUtFotAwYMoF+/fg2WODYXK8zoYbKEt2KI+3YPuz7ZiUWxBfqSCo7uOEBy7AnMrSwIGT0Uv2GBmFtcISZrADtUEc+h1cuSXEMKCwsJCQnBzs6O2NhYrK2tGzyu0gg7s1Qhr6Ey2rKyStavj+bcuTwiIwOJjBzUohtNNRuiUe5g3r1rbzrFdk9RFEtgGpfHtr9fqzWBjGFdFoHqVq6DFSm/8ajVUrxK7Dg85V2cHRxbP6wQTJ48mZ9//pnZs2fz4Ycf4uAgg42k+RgMBszMzK54nEnA7ixIryfglZbqWb58J0VF5ZcJeO5WMLZn45np3RhZNns9YabV8KdbA/jq0eG42lnUvr4q5hwTluxk85HzzXYuaw/KKg28/Usid3205yLhbmyAGz88O1oKd5JrTm8XG6ZH1GUx/PtXnWzke3X5EXVzEw8cqveQSDoELxxYwh30tOxBWMhgIiMjcXFxITExke3bt5OWltbqvwF6DGRqyih8JYz+Uc/w87CTZPTL5rPflxJx503c/sS9OHu6cujXvWx6bxVxOw9RWdFEewsTatbFIeAI0HyfDUknoUePHvzvf/8jMTGRV199tdHjLLUwwRMGOTa8WbG1teShh8YQGtqHnTuPs3HjfqqrmzBEuQSjgPRy2JIKhdLh+GqwGbgb1YqmrN5DImk5CuACjICHxk3g7dL7SXMsYfimP3E2M+NKZzc+rKKwZcsW/vrXv7Jy5UrCwsLYu3dvuy1b0r355z//ycSJE5s257qARoHRHtDLpi7G2dlZ8fDDkTg62rBq1R7OncsF1HiVrVcz0o0NpaNfp8jMu85GO2fhZBfreXVTAlsvcZ8N7eXI/902iBv7OXdYeaDBaGLzkXQW/5JIVnHdxsTSTMOLtwbw6CjfTmumIbn+yCiqIPLt36kyqBHi04eGcWtQz46fWGbeoShKrBBi6NWar63IGNZ9KKCCf7CdVArRYyA3N5fjx49TVFSEo6MjgYGBuLq2reWEJWac/OAX4hesZvdvMYxQhoEJclIySdhzmLSkFMwtzPGPCGLQjYOxtruCIYEGcAcGoPZFknQZ5s+fz8cff8yOHTsYO3Zsk8dmlKslRgZxeetDIQRRUTq2bUvA29uZBx4YiZ3dFcqwL0GrwHAX6N89E2w6xcWloigJQojga72OS5ExrJtggr9tWME/zLZgXa1lidtMHh93R5uGjIqKYtasWaSmpvLaa6+xcOHCZmVUSa5fli9fzpw5c3jzzTd5+eWXm3WOEBCVA6lldRl4JSUVLF++k5ISPbNm3YSPj3rtpVXA2QJu9lT7xF4nyLLZLkMHbOSFEPwYn8lfvztGbunFd/eH9u7Bk5H9GT/QHTNt+/xG6KuNbD5ynv/8foqzeRenCAzt3YO37wulv1vL3f0kko5m0ffH+WLPGQACPOz58bnRaDtaYJbiHYqi/BEoBb5H9VgDQAjRKd1DZAzrXggEeznHf9lHBdXohYHz589z4sQJ9Ho9Hh4eBAYGtsqVtnYOIdAfy8Ax2IcxJl/CtlswRhsBAgoy80jYc5iUY6fQaDUMGDKQwJFh2PWwb3xA5cLDG/AFrk03DEkLKSsrY8iQIdx+++28++67Vz7eoGYdlBoaLqM9ceI8mzbtx8bGkgcfHImHR8sqGbQK9LaFG12hnS4BOwudRbz7DPhQCBF/rddSHxnDuhffHd7HvGP/Jd2xlMn5g1h73yvY2zTflfpSioqKeOaZZ1ixYgUjRoxg5cqV9OvXrx1XLOlOCCGYPn06mzdvZt++fQwd2rx78ULA3hzVoKK+gLds2U5KS/U89NBoevVyAdSMvR7mMMGr27d8qEGKd12GDtzIF+ur+WTHKb6MOlObXVSDh4Ml04b2YnKIJ0FeDi3OxjOaBEdSC/juSDqbDp+nWG+46H03e0tenjSQqUO8ZbadpNOSW1rJmMU7KK9SU7/ffyCMu8O8O3ZSKd6hKMrTwBtAIXVJJkII0SmvFmUM655UYWQTCXxDPEZMVBoNnD59mpMnT2I0GttsalFD3q8JRE96hxHPT+PTJ94jJN0bBBTnFnIs6ginjyYhAN+QAQTfNARHV6fGB1NQM/H6Aj6oJheSTk1eXh7Ozs2vejAKOJALZ0obFvAyMgpYsyaKykoDU6cOJyCgZeZfWgVszGB8T7DvPiJwp7jQVBTlOGqO7BnUG1MKamwbfC3XJWNY96O0rIzbN/ydXU6n8CyyY03o80SGhLVpzDVr1jBv3jxMJhMrVqzg7rvvbqfVSrob+fn5hISE4ODgwKFDh7BppngsBOzLgbP1BLziYjUDr6xMz6xZ9QQ8wMECJnqBRfcX8KR412WIe73u+8GvN3ZUm0jNL+eT30+x4VAaVQ0UkbvbWzKyvwvB3o4EejrQ09EKdwcrrC7kqlZUG8kuqSS9sILj6cXEny8i6mQuBeXVl43laG3OI6P68vjofthZyrRrSefn37/o+GjHSQD6utjw2wuRmHdkSoIU71AU5TQwXAiRe7XmbAsyhnVv8ijnCw6wn1SqMFJZWYlOp+PcuXNotVr8/Pzw9fVttamFsaKK439ay9lPtuM0zJc7Vr/Mk1aTuOGUD1qThrKiUo7vPUryoRMYDQZ6B/Yj+KYhuHg2YaKjufAYAHgiOxp3AXQ6HZmZmURGRjbr+DMlsC+3YQGvuLiCtWujycgoYOLEwdx4o1+LbsIqqCLeKHfwsW32aZ2ZziLe9WnodSFEytVeS31kDOu+LN76DW/kbaTcoponqyN5b9q8NhkwpaSk8Nhjj/H2228zZMiQdlyppLuxdetW7rjjDr7//ntuueWWZp8nBOzPhdOl9QW8cpYt20l5eSUPPTQGb29n4IJ/lznc6qX2iO3GSPFOcjlZxXr+F3WWbw6lklvavp2LezvbMOOG3sy8oTf218jdViJpDUUV1Yx+a3tt9uibU0N4YHjvjptQincoivIrMEUI0SVa8csYdn2QTC4fEEUWpegxUFJSwokTJ8jKysLa2pqBAwfi7e3d6r6xGZsOcfSxLzFVGxn2nzn4zxzLvRnBTDjpj021OfqyCk7ExKPbn0B1ZRVeA3wIGT0U996ejQ+qQS2h9Qfc6CQShuRShBCMHDmSM2fOkJCQ0Oy+ioVVahmt3qj6mNSnutrApk0HOHHiPEOG+HL77UPQtvDGk1aBAfYwzEUtU+rCdO3VdzAyhnVvTmelc+fPizjunENgnhvfTVxIf69e7TL2X/7yF2655RbGjBnTLuNJuheZmZn07NnyfuFCwIE8OFVSJ+AVFZWzfPlOysurmD17NF5edQKerRnc6g1W3VfAk+KdpHGqjSZ2JGbzY3wGO5NyGsygaw7u9paMC3Dn7iFe3OjrIstjJV2Wj3ec5O1fdAD0dLDi9xfHYmXeQRFCincoirIJCAJ2cHHPu2ev1hpagoxh1w8CwS7O8CkxVGGkCiO5ubkcO3aM4uJievToQWBgIC4uLq0av/xcHodnfkr+niR6zR5F+MdzMLO1YmKuP/ckB+FaYUuVvhLdgWOc2BdHZbke996eBI8egld/n8aFQw1gDQQATVTdSq4dcXFxhIeHc/fdd7N+/fpmi8DVJtiTDZkVl2fhCSHYseMYu3cn0revG9Onj8Da2qJF69Iq4GAO43qq5bRdFHkB2gQyhnV/TCYTj2/8gFWaaMyNWt7qMZ2nJ9zTpjGLiooIDw/n3nvv5V//+lc7rVTSHdm8eTMjR47Eza2JioFLEAIO5UHyJQLesmW/o9dXM3v2GDw91QsaBTU+3erVpeNUU0jxTtI8jCZB/Pki4tIKSThfxMnsUrJLKskpqcRgUj8r5loFd3sr3O0t8fOwJ8jLgTCfHgR6OkjBTtItKK8yMGbx77UGLy/eGsDT4wZ0zGRSvENRlIcbel0IsfxqraElyBh2/aGnmvXE8x3HMWLCIEykpaWRmJiIXq+nZ8+eDBo0qFWmFiaDkeRF35H0j++w7e/O0LXzcB3aD0UoDC3y4v7kUAYUu2CoruZkbCLHoo9SXlyKs6crwTcNpfcg36ZFPAfUTLwm/C8k14Z//etfvPrqq6xatYoZM2Y0+zwhILEIjhQ0XEZ79GgKW7YcwtHRhhkzRuHi0rL/fAXV1W+MO3i2vu/9tURejDaBjGHXD7/GH+KxIx+R1qOEW/L8+PreV+lh1/pgUFpaioWFBRYWFsTExODk5IS/v387rljS1UlLS6N///5MnjyZjRs3tqg6QQiIzYek4rrYVlhYxrJlO6msvFzAs9LCJG81E6+bIcU7iUQiaQmrYlJYuCkBADtLM3a+OBYXu7Y1qm8QKd5dcxRFmQLcjipzfCGE+LWp42UMu37JoZRP2c9R0qnEiMFQZ2phMpno27cvfn5+rTK1yN2ZyOGZn6K1tWTc8X+iaDUogIXQ0qvckQdOhRKR44MwmjgTl0zCnsOU5Bfh4NqD4FFD8A0ZgKax3kYawAXwQ83Ik3QKDAYDY8aM4cSJEyQkJODt3TKDpBw97MhUs/EujR7nzuWybl00JpNg+vQR+Pq6t3h9WgX62kG4S5dz+JPiXRPIGHZ9Ua7Xc9fXi9juqMO9xIavAuczccjwNo0phGDo0KEkJSXx/vvv89hjj7W6hYSk+7FkyRIWLFjA559/zmOPPdaic4WAI/mQWE/AKygoY/nynVRVGZg9eww9e6rO6gpq77tJXmovvG6EFO8kEomkJRiMJm59bxencsoAmDOyL6/fFdT+E13H4p2iKOuFENMVRYnn8r2nEEKENmOML4E7gGwhRHC91ycB76P6b34uhHizGWM5Af8WQjR5pSFjmOQ4WXxINHmUo8dQa2qRkpKCmZlZq00tqvJK0acX4BDig7GyGkOJHktXNUvCSphhU23OvWdCuCV9ABYGLedOnCZh92EKsvKwdbQjaFQY/cMGYmbeyG1oDeAB9AG6hzFBlyc5OZlPP/2URYsWYW3dcmVVb4TfM6Gg6vIsvIKCMtasiSIvr4TJk4cwbFjLDby1iirc3eQOPbuO8CtVhCaQMez65IMd3/F61jqKrap4tGIEH9/3LOZmrU9ZOn/+PA8//DDbtm3jnnvuYenSpa1uISHpXphMJiZMmEBMTAyHDx/Gz8+vxWMcyYcTRfUFvFKWLdtJdbXxMgHPQqP2wHPoPgKeFO8kEomkpfx2PIu5X6l/q8w0CltfiKSvazvveK9v8c5TCJGhKMp64MX6bwGLhRDTmzHGGKAU+KpGvFMURQskAROANOAA8CCqkHdpo5ZHhRDZF857B1glhIhtak4ZwyQAJgTbSOZLDlKNiSqMlJSUcPz4cbKzs7G2tmbQoEF4eXm1KiPh+ItrOb96H5EJb2DhVPd3x1KYoZjgtvMB3JUSiHOlNeeTz5GwO5actCysbK0JHDEY//AgzC0b6XemAeyAvoArUuroJAghWvVZMV3IVNAVXy7g6fXVbNiwj5Mns7jxRj8mTBjcqhYnWgX62kK4a5fIwpOf6CaQMez6JTUnh8k/vk6Ccxb+eS5sHv8KA3v3bfV4JpOJd999l1deeQU3NzeWL1/eIqdRSfclLS2NkJAQ/P39iYqKwqwVQnFcPhyrJ+Dl55eyfLkq4D388Bg8PHrUHmuhUXvgObaszWtnRYp3EolE0lKEENz/6T72n80H4PYQTz6eObR9J7mOxbt688UKIYZe8lqcEGJwM8/vC3xfT7wbAbwuhLj1wvNXAIQQDXZYVtTd8pvAb0KIrVeaT8YwSX3KqWIVR/iFJAyYMCHIycnh+PHjbTK1KDp6jpyf4xnw8u3A5cKOudCAUIjI7cX0M4PxLXEiOyWD+D2xZJxKw8LKgoHDQxh4QwiWNlYNT6JFk/aJXgAAIABJREFUFfJ8AG+ge1z0dkmOHDnCnDlz2LBhA/3792/VGGllqpmFUVycymwymfjllzj27z+Jn19Ppk27AUvLlqcodKEsPCneNYGMYdc3JpOJZzb/hy9Mu9AIhUU2U1kw+Yr3SpvkyJEjzJgxgxMnTrBgwQLeeOONVrWPkHQvNm7cSFlZGbNmzWp1WXVCAcQXXizgLVv2O0ajiYcfjsTd3bH2WHMNTPQEp67/0ZPinUQikbSGw+cKuOeT6Nrnm54ayZDe7WjfeB2Ld4qizAOeAvoBp+q9ZQ9ECSFmNXOcvlws3t0LTBJCPH7h+UPADUKI+Y2c/yzwMGqG3hEhxH8bOOYPwB8AevfuPSwlJaU5S5NcR6RTzH/YRyLZVGJECNFuphYF+09z4qV1hC2fi00f14ve0wgFM5OGPmVOPHA6lGF53hSk5xC/+zCpiWcwMzfDb1gggSNDsbFvJHO4JpPKFegNODZ8mKTjSE1NJSQkhODgYHbu3NnikusaSqtheyaUGS7Pwjtw4BQ//XQENzcHHnxwJD16tC6TvAtk4V134p2iKLbATtQbV983dazch0kAdiXGM3v/e6Q4FTEmtx8bpr6Kq2OPK5/YCOXl5bz44ot88sknhIaGsnr1agIDA9txxZKujNFobHVcO1YIcfUMmvLySli2bCcmk+Dhh8dcJOCZKTDBC1y6toDXaAzrnCFXIpFIOglDejtx+2DP2uf/+jGRa3HTo5uyGrgT+O7C15rHsOYKd+2BEOIDIcQwIcSTDQl3F475TAgRLoQId3Nzu1pLk3QhvHBgERP5MzfjgR3Wijk+Pj6MGzeOgIAAcnJy+P3330lISKCqqqpFY1dmFlEUm8KusL+QvuHARe+ZFEGV1kiyQy5vB+/ksVHfcCC8gBEP3sydT02n96B+JMbEs+n9VezbspPivMLLJzBdeGQDscBeIAMwtu7fQtJyfHx8+PDDD4mKimLJkiWtHsfOHG73ht62qshWn4iI/syceRNFReV8/vl2UlPzWjWHUcDZMvj2HGRUtHqpkiZQFOVLRVGyFUVJuOT1SYqi6BRFOakoyv/Ve+tlYP3VXaWkKzNmYAi6Bz5hUlEgu51PM+iHZ/j+QPSVT2wEGxsbPv74Y7Zs2UJGRgapqantuFpJV2b16tWEhYVRUlLSqvODekCYc11Mc3Gx5+GHI9FoFL76ahc5OcW1xxoE/JauGjp1R2TmnUQikVyBlLwyblmyk+oLt3w+e2gYE4N6ts/g13HmXXvR1rLZliJjmORKGDHxEzpWcBgDRqoxodfr0el0nDt3DjMzMwYMGICvr2+z+8CUncom9sH/UHjgDH2eGEvQuzPQWjdc52plUMe8PW0gd6UGYpZVzfGoI5w8kojJaMJrgA8BEcF4+/VuvJSl5ga5F2pZbecuk+wWCCGYNm0aP/zwA4cOHSI4OPjKJzXByWI4kHd5Bl5ubjGrV0dRXFzB3XeHExLSu9VzaBXoYwsRnSsLr8tn3rWwn6s3qp+0FZArM+8kLeWz3T/xatoqCmwqmVUawdL7/oiFReu7/5eVlWFrq2b2rlu3jnHjxuHu3nLHa0n3YPfu3YwdO5Y5c+bwxRdftHocXRHE5tfFtNzcYpYt2wnAnDmRuLo61B5rpsC4nuDRNa9dZNmsRCKRtIXXvzvGsuizAPRxseHXP47B0qx16d8XIcW7NtOAeGeGusG5GTiPusGZIYQ41sZ57gTuHDBgwNzk5OQ2rVlyfVBKJV8Ry3ZO1fbDq29qYWFhwYABA+jTp0+zRDxTlYHEP2/g1Ns/YR/kzbB1T2Ef5N3o8eZGDaAwIqc3950NwT3LkuRDJ0g6dIyKknLsnBwIiAiif9hALK0bqTFRLjwcUV1qnekG0kjnJScnh6CgIO655x4+/fTTNo+XX6mW0VYZ1eTKGsrLK1m/fi8pKbmMGTOIsWMDW92TSKuoG6Wb3MHTps1Lbg+6xSe0uTemUO1nbIFAoAK4RwhhumzAC8h9mKQh0vPzuGPL3zjsnE7/fCc2jnmZwb4D2jRmbm4uffv2Zc6cOXz00UfttFJJV2ThwoX885//ZMOGDUydOrXV4yQVwaF6Al5OTjHLl+9EURQefjgSV1f72mO1Coz2gF6dIy61BCneSSQSSVvIL6ti7Ns7KNYbAHh50kDmjW1dU/GLkOJdm1AUZQ0wFrVbVxbwVyHEF4qiTAbeQ80f+lII8UZ7zSljmKSlpFLIx+zlFPlUov4NKSgoQKfTkZOT02IRL/uXeA7PXoqhuIKg92bQ5w9jmxReNCYFM6GhX4kzM08PISTXnXOJZ9DtP0b2uQy05mb0C/EjYHgwTh5NGGtoLzz6oGbktdw8TtIMkpKS6N+/f6v7A11KlRF2ZatlRPWz8IxGE99/H8uRI2cJCurF3XdHYG7e+jm1ilquG+GqOv9dQ7qreNdkP1dFUebQSOad7NsqaS4vbF7Kf6u3IRTBny3u5JXbZ6DRtP4X+tixY/Tq1QtHR0fOnTuHm5sb1tZdMx1K0nqqqqoYOXIkZ86cIT4+Hi8vr1aPlVwMB/MuFvCWLduJRqMwZ04kLi4XC3jhLuDn0MhgnRMp3kkkEklbWRZ1hte3HAfA1kLL9j+NxcOhERfH5iLFuy6HjGGS1iAQHOQ8n7CXUqpqRbz8/Hx0Oh25ublYWlrWinhXEm70mYUcnr2U3N+O0fvxMYQufbRZ67A0muFf5MLTiSPxqnAgPzMX3f4EzsSfxGgw4N7Hk4HDg/EJ6IumsTXU7OPcUYW8lntwSJpBVlYWubm5BAUFtXksISChUH3UF/CEEERHJ7F1azze3k7cf/9I7O1bv7HuJFl416V411xkDJNciZiTicyI+jennQsZkdubb+/+M+7Ozm0a02g0Eh4eTnV1NatWrSI0NLSdVivpKiQmJjJs2DDee+895s6d26axThXD/noCXnZ2EcuX70KrVTPwLhXwBjlCqBO0MsH8aiPFO4lEImkrBqOJyR/sJimrFICpQ7xZcn9Y2waV4l2XQ8YwSVuoxsgWTrCWowgElRdcIfLy8tDpdOTl5WFpaYmfnx+9e/duUsQTJhOn3vkZ2/7ueE5t/q9sTSberen+zDwVho3RgsoKPScPJ6I7cIyywhJs7G3xCw/Eb1gg1raNiDk1JbW2qCKeG9IKrZ0QQhAREUFpaSmxsbHY2LSPEpZZATuzwGCC+hEnMTGdjRtjsLa24MEHR9GzZ+tdJ+GaZ+F1je3ZFeiofq4yhkmaQ7XBwL3r/sUPtnE4Vljyme9cpt0Y2aYxf/nlF+bMmUN+fj5vvvkmzz33XJuy+iRdj4yMDDw9Pa98YDM4XQIxuXUCXlZWEV99pbq1z5kTibNz3Z3Fmv6sN7qBpvNHCCneSSQSSXsQdTKXmZ/H1D7f+NRIhvZ2av2AUrzrMsied5L2pJwqfkTHBuIxItBfyMTLzc1Fp9ORn5+PlZUVfn5++Pj4NKuE8vQHv2EoqcDvlTtQmrEhsjBpMTNpeOxkODef90ODgslk4nzyOXQHEsg4lYZGq6FPUH8CIoJx6+XR+GBa1MvNXhcejbTQkzSf7du3c/PNN/Pss8/y/vvvt9u45QbYkQnF1Rdn4WVkFLB2bTQVFVVMm3YDAQGtL2sCVcc118Aod/C6ull4nX9r1gzau5+rjGGS1rBi7zYWnFlGrl0F9xcPZdn0BVhatP4PfE5ODnPnzmXz5s1MmDCBZcuWtamEUtI12bt3L46OjgQGBrZpnDMlsK+egJeZWchXX+3C3FzLww9fLuC5WcFYDzDr3JqxFO8kEomkvXhyxSF+PpYJwOBejnz71Cg0rb2NI8W7LoeMYZL2pAojW0lmDUepxIAeA0KI2ky8+iJe7969G81SEEJw9NEvqCooI2LTsy0yH7A0meFaacOzx0cxqNi91tmgKLcQ3YEETh/RUV1VjYuXGwHDg+kb1B9tY735apbnBPRFNbroFlLKteHZZ5/lww8/ZNu2bYwfP77dxjUJtWfQqZKLBbySkgrWro0mPb2AkSP9GTNmEJaWrXedBHXD5GMLw69eFl6X/8R1ZD9XGcMkLSW3sIjbNr/OQedU+hQ4snHkSwwdENDq8YQQLF26lOeffx4bGxs+//xzpkyZ0o4rlnRm9Ho9/fr1w8PDg3379mFp2ba7fSmlEJ1zuYCn1Wp48MGReHnVlXxrFXAwh1s8wbJ92sp2BFK8k0gkkvYiNb+cm5fspMqg7nDfuCeYmTf0ad1gUrzrcsgYJukIjJjYzVlWEksxlbUiXk0mXkFBAdbW1rWZeA2JeEIITJXVaK0sKDudTemJdDxub35pv4XQMrTciz8k3IBrhS0XKnqprqzidFwSuv3HKMotwNLGCr+hg/APD8LWsYmGd1rAHLWk1vPCc0mLKC8vZ8iQIej1euLi4nB0dGzX8c9d2PQY6oWf6moDP/54hCNHzmJnZ8XNNwcTGtqn1W60cNWz8Lq8eNeRyBgmaS2v/LCMD8p/xqA18ZJmEn+7a06byl4TExOZOXMmsbGx/OEPf2DJkiXY2tq244olnZUtW7Zw11138dJLL/HWW2+1ebzUMtiTfXEPvNWroygr0zNlSgRBQT61x2oAKy1M9AK7tt2b6iikeCeRSCTtyZLfkvhgm1p2Ym9lxrYFkbjbt8K8Qop3XQ4ZwyQdiQnBAVJZQSzZlNWKeDk5Oeh0OgoLC7G2tsbf359evXo1unE68ugXpP5vN77PT2TQm/ehbWb2lBYFrdAwTR/MtNMhWGRr1ctIoyoOZp45j+5AAmk61a3SZ6AvAcOD8Ojj1bi4o0VtsOYJ9AaunZFBlyQmJoYlS5bwn//8B+c2No1viOIq2J4J5UY1I6+GtLQ8fv75KOfP5+Pl5cStt4bSu7drm+bSKuBjcyELr+PEXCneNYGMYZK2cOTsSe7buZiTzvlE5Hrz7Z1/xsvVrdXjVVVV8Ze//IXFixezatUqHnzwwXZcraQz8+STT/LZZ5+xfft2xo4d2+bx0spgdz0Br6xMz7p1e0lNzSMychCRkYG11ykK6g2lCZ7g1PnafEjxTiKRSNoTfbWRSe/t4mxeOQB3hnrx4YNDWj6QFO+6DLJfkORqIhDEk8kKDnOWfKowYhKC7OxsdDodRUVF2NjY4O/vj7e392UinlFfxYmX1nPmw604DOnDsLXzsPPv2ez5LdFihTnzjDcyIqs3SqoC5aginIDSwmKSDh4nOfYEVRWV9HB3JiAiGN/BfphbNCIU1hhc2KOW1LogZZZOgsEE0dlwvuJyN9r4+HNs3RpPSYme4GAfbrklBEfH1iuwGtR+Q6PcwbtjhFz5qWoAGcMk7YXRaOSBrxezySoWe70FH3vPYcboCW0aMy4ujpCQEBRFIS4ujqCgoGb1epV0XcrKymozy+Pj49sls/x8OezKqotjBoOR77+P5ejRFIKCenH33eGYm9e1/TBTYGxP6Nl6k/WOQIp3EolE0t5cal6x/NHhRPq38O6jFO+6HDKGSa42yeSyksMcIwsDJozCRFZWFjqdjuLiYmxtbfHz82tQxMvcHMuRR7/AVGkg5JPZ+Mwe1aK5rTDDhx48w0j6ljtBOurDBBjBUG3gbMJJdPsTyM/MxdzSgv5hAQQMD8bBuYkLcS2qitMb8EYtr5U0ycmTJ3nhhRf44osvcHNrfaZLYwgBScUQm3+xgAdQVWUgKkpHdLQOUBg1yp9RowIu2gS1FK0CvWzghvbPwpPiXRPIGCZpL9Yf2MWzSV+Q5VDGPQWDWTn9JWysWlGFUo/09HT8/f15+umn26WcUtK5OXDgAFu3buWll15qN7E2vVx1Va+JY0IIoqOT2Lo1Hi8vJ+6/fyQODnVqnVaBG13B175dpm8PpHgnkUgkHcEf1x1h0+HzAPg4W/Pr85FYt2QXIsW7LoeMYZJrRSqFrOYI+0lDYKK6ARGvJhOvfglrRVo+sTM/JX+XDu+ZIxj8n9mY2Tf/NrMCmKNlDL7MYRgOwgrygTTUr4AwCnLSstDtTyDl+GmEyYTXAB8GDg/Ba4BP4yW1NVqjK2pvPIeW/7tcL8THxxMeHs4dd9zBN99806YedE2Rq1fdaKtNtd4ltRQWlrF1azzHjqXh4GDNLbeEEBzcxP/vFajJwhvprgp57YQU75pAxjBJe1JYWsLkjX9jr9NZehXasz58ASMGBbd6PCEEK1asYPz48fTq1Qu9Xo9VGwVBSdfAaDS2m4CXUQG/Z158I0qnS2fjxv1YWprxwAOXG1kMdoKgHu0yfVuR4p1EIpF0BLmlldz8zk6KKqoBmDe2Py9PGtj8AaR41+WQMUxyrcmmlPXE8TunEQiqhJHMzEx0Oh0lJSXY2dnh7++Pl1ddHzphNJH0j+9I+vtmbHzdGLZ2Hj3CfVs0rzkatGh4iCFMZiBaNFANZKIKeXrABOUlZSQfOkHyoeNUlJZj7+SAf0QQA4YMxMKqieYyGsAa6Ae4ISWYBli8eDEvv/wyK1asYNasWR02T6VRdaM9V6b2wbs0OqWk5PDLL0fJyCikVy9nJk0Kw9u79f34arLwhru2iwOg/OQ0gYxhko7g7z+v5t/FW9CbG3nedAtv3vN4m8wsAEwmE5MmTcLT05MPP/wQBwd5d6e7snPnTubOnctvv/1Gnz6tNAG8hLxK2J4BVaa6GJaVVciaNdGUlVUyZUr4RUYWWgX620OEC3TQvbHmIsU7iUQi6SjWHTjHyxviAdBqFDbMG0mYTzNv3UjxrsshY5iks1BABZtI4Cd0CKBSGMjIyCApKYmSkhLs7e3x9/fH09OzVsTL260jdsan9F9wK/2ev7VV81phhgOWPMMoQvGse6MUOA9kqE+NVUZST5whcX8COamZaM3N6DfYn4CIIJw8XBqfoKakti/gBbS+MrPbYTQaiYyMJCEhgYSEBHr16tWh85VUw5F8SCu/XMQzmQRHj55l27YEysoqCQ3tw803B2PfgqzO+tRk4Y3xaHP/ISneNYDseSfpaI6npXDPtn+S5JxHaG5PNk/+M308mt9r9VKMRiOLFi1i0aJF9O3bl5UrVzJixIh2XLGks3DmzBlCQ0MZOnQo27Zta7cMvAqDashUXN2YkUUgkZGDaq+RtAp4WsNoD/X7a4QU7yQSiaSjMJkEMz7fx77Tav1Yfzdbfnh2NFbmzQg8UrzrMsiNj6SzUkYV33OCTRzDiEAvqklPTycpKYnS0tLLRLzqonLMHKxRFIW8XTrsBnpi6d7yjAZLtATiwTxupCf1msWYgDwgFSgEFMg/n0vi/gTOJiRjNBjx6OtFQEQwPgP7Np6dUeNS64VaUisrpwC1911oaCizZs3i008/vSpzFlfD4TxIr7hcxKusrGbXrhPExJxEo1EYPXogI0b4Y2bWus2XswVMbpsmKcW7JpD7MElHYjKZmP31O6yzOIB1tRnvuc3i0XGT2zRmVFQUs2bNIjU1lddee42FCxdiZibv6nQ3li9fzpw5c3jrrbd46aWX2m1co4CYHEgpa8rIIgLzC/s2rQJOFjDeEyzaljzaWqR4J5FIJB1Jan45k97bRVmVEYC5o31ZeHvglU+U4l2XQ8YwSWelEgO/ksQ64qjCSIWo5vz58yQlJVFWVoaDgwMBAQF4eHigKApGfRXb+r1Ejwhfhm9+rlVzalAwQ8PtDOQBQrG+1Hmikrqy2iqoLNVz8nAiuoPHKCsswcbBFv9hgQwYFoi1bSPpVjUutc6AL7IvHrBnzx6GDRuGtfXVtcgrqlINLTIbEPHy80v57bc4EhPT6dHDhgkTBjNokHeL++E5WcDtUrzrMGQMk1wNvju8j3nH/ku6Yym35wey5r7/w96m9Y0ti4qKmD9/PitXrmTkyJGsXLkSX9+WtX6QdG6EEEyfPp3NmzcTExPDkCFD2nV8XdHFhkyXGlk88MDI2sxxDWBjBhO91K9XGSneSSQSSUezKiaFhZsSALVXwvonRhDR9wo9gKR41+WQMUzS2TFgYienWcVhSqm6TMTr0aMHAwcOxNXVlZL4NLR2ltj2c6e6uAKttTmaVjiIWqDFAi2PE8FY+qO59NpTACWoIl4WmISJ84nn0O1PION0Ghqthr7BAwgdG45djybUOQ1giyriuXLdyzRlZWUUFhbi7e19VectqFIz8bL0lzvTnjmTzc8/HyU7u4g+fVyZNCmMnj2b3wVcincdi4xhkqtFaVkZt2/4O7ucTuFVZMfq0OeJDAlr05hr1qxh3rx5mEwmPvnkE2bOnNlh5j2Sq09eXh6DBw9m5syZLF68uN3Hz75gyGSo1wdPp0tnw4YYrKzMeeCBUXh5OQFqILHQqAKeo0W7L6UppHgnkUgkHY0Qgtlf7md3ci4AfVxs+Om50dhYNLERluJdl0PGMElXwYRgH+dYQSx5lFNuqiItLQ2dToder8fFxYWBAwfi7OyMEIKDUz+kMrOIoWuexKavW6vmtMIMD+x4llH44drwQUYgB7WsthSKcgrQxRzj5OFEhBAEjgwl+KYhmFuYN3w+qCW1Wur64rVPe5wuhRCCG264AXNzc3bt2tVuPYJaQn4lxOZBTuXFIp7JZOLQoTPs2HGMiooqhg71Zfz4IGxtr1z7LMW7jkXGMMnVZvFv3/BG/kbKLaqZVx3Ju9PmtenvVUpKCg899BC7d+/m66+/5t57723H1UquNRkZGfTs2bPDRNkyA2zLUL/WxK2LjSwiCAqqC0JmCtzsCW5Xr3WHFO8kEonkapBeWMGt7+6ipNIAwPTwXiy+N7TxE6R41+WQMUzS1RAIjpDBCmJJpZByYxUpKSkkJydTVVWFu7s7AwcOpOwXHUfn/g8UCF36CF73DW/1nBZoGY4PcxmOE02UduqBdCANygpKif11H2fjT2Jtb8PQm2/Ed7Bf0xfwGtTLXG+gN9CEmW13ZNWqVcyaNYs333yTl19++ZqtI68SDuWpX+uLeBUVVezceZwDB05hbq5lzJhAbrhhAFpt442EpHjXMci+rZJryanMNO765Q2OO+cQlOfO5omv0t+r9b/oRqOR5cuXM3v2bMzMzGpNmiTdh+TkZLKysrjpppvafWyDCaKy1T6uNTGrtFTP+vWqkcXYsYGMGXOxkcVN7uBj2+5LaQgp3kkkEsnV4ptDafzp66O1z5dMD2Xq0EYuUKR41+WQMUzSlTlBNv/jIGfIp9xQyekzZzh16hTV1dV4eXnR29KFxMe/ojDmNL3nRhL03gzMbFqniJmhQYvCdAYzhSDMm0qPE0ABkAQ5SZkc+DGKvPQcXLzdiZg0CrdeHk1PVtMXzxU1G+862cMJIbjvvvvYsmULBw4cYPDgwdd0PTl6VcQrqLpYxMvNLebXX+NITs7E2dmOiRMH4+/v2aAwK8W7jkXGMMm1wmQy8fjGD1ilicbCqOWtHvfz1IQpbR43JyeHsLAwFi5cyFNPPdUOK5Vca4QQjBw5krNnzxIXF4ebW+uqAZqeA44VQXzBxUYWW7YcIi7uHMHBPtx1V/hFRhZDnSHAsd2XcilSvJNIJJKrhRCCF9YfZdPh8wBYm2vZ8swoBrg3sJuU4l2XQWYtSLoTieSwjIOcIo+yaj0nT53i9OnTGI1GevX0QrtOR8qS37Ab5MmwtfNwCPFp9VyWmGGDOU8zggh6oTSlrQggA4ROcPpIEod/i6GitBzfED+G3HIDtg52V55QA9ih9sVzodtLOTk5OQQHB+Pp6cn+/fuxsLi6zXkaIqtCFfGKq8FQL7QlJ2fw669x5OaW0K+fO7feGoq7+8U7ISnedSxyHya51vwaf4jHjnxEWo8SJuT5s/7eV+hh1/o7LqWlpSxYsICnn376mt/AkLQfcXFxREREMHnyZDZu3NhhZbTp5bArqy5WCSGIitKxbVvCZUYWWgUGOkCYs9rfvIOQ4p1EIpFcTcoqDdz50R5O55QBEOBhz7dPj8La4pLMEynedTlkDJN0J5LIYRmHSCaXkspykk+e5OzZswghcE8XFPz1NwyFFQQteZA+T45r08WzJWb0w5n5jMCHKxgYGIAzUH2qmoTdsRyPjkPRKASPCiNwZChm5k30w6tBC5ihZuJ50q374n333XcsXryYDRs24OFxhSzF+gigCigHyoBSVGORctTehLaoLr89AEeghbpg5gURr6SeiGc0mjhw4BQ7dx6nstJAeHg/xo4NxOZChqcU7zoWGcMknYFyvZ47v/47OxyTcC+xYWXQM9wSFtEuY8+fP58hQ4bw6KOPSjOLLs6SJUtYsGABS5cu5fHHH++weUqqYWsGVBjAdOG1xMR0Nm6MwcrKggcfHImnp2pkoVXAxwZGuoOmYz5eUryTSCSSq82JjGKmfBxFpUENA/eH+/DWvZfcEZTiXZdDxjBJd+QkeSzjIInkUFxRii4pidTUVCiqxOq/CVTsOUPol4/R+5HRbZpHAczRMp7+zGYYdldSgyoAHZScLib2132cO34aGwc7hk64kb5B/Zu3MasR7XoBPnTbvngmkwmNppFecgL137JGpCu+8LXiwnuaC19NDZ+O9sJ75qginvOFr3ZcUSoTAjIuiHhlhjoRr7y8kh07jnPo0CksLc0ZOzaI8PB+uFprpHjXgcgYJulMfLDjO17PWkexVRWP6Ufx0b3zMTdrueN5DXq9njvuuINt27YxdepUPvvsM1xcXNpxxZKriclkYsKECezbt4+jR48yYMCADpur2qRm4GXXc1HPzCxk7VrVyOKeeyIIDFSDk1YBV0sY1xPMGm/h2lqkeCeRSCTXgrX7z/F/G+Nrny+6O4iHRvStO0CKd10OGcMk3ZlT5LGcQxwnm4KyYnQ6HedT09DsTKP/o2PpH+CHxiDQWretNNMCLVo0zGEYE/FDyxWufguAE5ClS+fAT1EUZObh5tOTiEmjcPFqZi+cmincULPxmlGB29XIzshm0euLeOvlt7ARNqpIVw5UUtcX0IQq1LWFGqMQgZqd54KanefA/7PqZWj4AAAgAElEQVR332FRXG8bx7+zC0tVEMGKBXsDFRBb7MZEjaImNizYSyzR/IyJJhpjSWI3lliiKdaoifFVozGx966ADXuNvaB02J33DxQ1AqKUWZbnc12b3Z09M3Mv5uKwz545J6HAlwRVhetRcPguRBmfFfFu3w7jr7+CuHjxNq6uOWjTvDKD6+RJSzop3iVBpn4Q5urqnTs0WT+K4y63KH0vN/9XfzilCxd54+OZTCamTp3KsGHDcHNzY+HChTRo0CAdE4vMdO3aNaZNm8bo0aOxt7fP0HOpKgQ9gFNhLy5ksXz5Hq5du//CQhY6BXJYwdsFwDZ9R/ZL8U4IIbTw3/nv9DqFRd38qFHCNaGBFO+yHOnDRHZwkfss5Agh3OT+o4ecCj3NzZs3sYpRUT7eSqmhTSjW/+00n8cGK1ywYwA1qEC+lBurwHUwnTFx/nAox7YcIDoiiuKVSlO5QVXsHFP5R/3TIlYOEubFcyHrlXviSBg5959LXbce3Er9IfUZ0HIA0/tNz9xMT0fnGUgo5D0dnWfPCz9fVYVrkQkj8aKfFPFUVSU09AZ//x1Eg1ql+Ob94mlJktX+NTOV9GHCHJlMJvqtns1P6g70qsIYh1Z83LhNmo559OhRAgICOH36NEOGDGHs2LHY2Fjo0Otswmg0otdn/BwYVyNg1+1XL2ShkFC4a1QAcqRiNo9UkuKdEEJoJTrOSJu5ewm+FgaAk501q/vVxMPVQYp3WZD0YSI7ucwDFnKEIG5w5+E9ThwO5t7XmzH4l6F08+oULlw4+Us1X4MNerzITy+qkvdVQ+LigfMQeyGGkG1HOL0/BJ2VHs9a3pSt5on+dS650vPsUlDDk5vVk5v1c4+fPk//y2OSpwLRPLvU9TEJhbooEopkyVzqOuj7QXy36js2TdhEA28NR5s8/7PKwbO583ICVglFvCsRcOQ+xDwp4sXHG3GxUWheJE0/aCnepUD6MGHOdpwOofOBaVzOFUadu8VY9f7nuOR88+U9IyMjGTJkCLNnz6ZSpUosXbqUsmXLpmNikVlCQ0Np2bIlP/74I9WqVcvw8z2Mhc03EvonE8kvZKGQcOlsw/yQO31qw1K8E0IILd0Mi6bZzF3ceRwDQGEXe37rW508a+2eNZLiXZYgfZjIjq7wkEUc4Sj/cvPubU6ePsWDBw+wWnGGQvW8KN+1YZonBtejoEdHPYoRQGVyYZfyDpHAaXh04SGHN+7jWuglHJ1z4NOoBoXKFH3zPE8vCYVnl4Y+LZIpJBT8ni6G8bSo97Twl1TB7/nnSUUy8axA97RIF0FC4e4NLnWNiomicp/KREZHEvJDCE6Ob/7BN10pJPxsTSTMO5gr4WbKCZdNz4p4TrJgRYaSPkyYu5jYGFqsGMfGHCfJHWHHLyX70qRKjTQdc+3atXTr1o3w8HDWr19PvXr10imtyCxhYWFUrFgRKysrjh49So4cb75CcWrFGGHbTbgf+2wU3unT11m16kCSC1nUyQsF0n5lrxTvhBBCa0evPKD9D/uIjjNhr4vic48/aW//87OViiqMhLKfgLW2EzFJ8S5pMl+QEHCNMBZxhEPqNa5dvsqhd6ZgOnMP61ZlqTCxHQU9Cqe5iGeFDh0KzShLazyxf9WiFveA0/Dvqasc2rCHsDsPyFu0AFXerUmuvJk8Ubny3O15T4tvOl4s/sWScAns04FmxvSJceD0AWoMrMGHzT9kev9Mvnz2dehJ+LkooOaA+44Q5gTFXnEF9StI8S4F8jlMZBXzdm5g+LUlPLCPoVOEH/M+GITB8ObXJt68eZMvv/ySyZMn4+hogZOeZgM7d+6kTp06dOvWjfnz52fKOU1qwjQP5x6/uJDFsmW7iYyMfWkhC7/cUDxnmk4pxTshhDAHm07eYvDSXfxW7GOKGG5iq4t99qLeFhyLQ6N9mhbwpHiXMunDhIDrhLGYo+yNvsC+/gu4tWAPeDjhOLoh5RtVxc3NLc1FvIRFLRTaUpH3KIuBFOa5MQHXwHTWxNmDJzm29SBx0bGU8C5LpXpVsHV4xSg+C7Ri2wrqVaqHm3MqF/QwB0/nIqyS5qOIZEgfJrKSf+/fo+narzjm8i/F7+diVe1P8fJI+4qjkZGRvPfeewwfPpyGDRumQ1KRWYYPH84333zDqlWraNmyZaad98Jj2H836YUs6tUrT61aZVAUBQVo78GzwRmvT4p3QghhLo5vGESJe7NfLNw9pbeFskPB66vMD/aEFO9SJn2YEM/8yyOWcoxVa1dzIHAuxqgY6FWJXK0rU7ZsWXLnTvvINxusMKCnC97Up0TKK9PGAecg5kI0wVsPEXrwBFYGa7zq+FDar0KmTHRtbuKN8URGR5LTIW1DATKNI1A1TUeQ4l0KpA8TWdHH//cDc+I2E6830Sq8IlOb9CZ/btc3Pt7ly5dp3rw5kydPluJdFhMbG0uNGjUoWLAg//d//5ep574XA1tuQKwpYdB4cgtZBEjxTgghLMTvbhBzN/nXbdzg/duZl+c/pHiXMunDhHjZTR7z/fW/md3xC+5uO42ubhFMfSriVqQAZcqUwdnZOc3nsMUKRwz0wI/qFEZJqUYTDpyCsIsPOLRhD/+ev0rO3E74NKpBwZJpv7Q3qzCZTDT4pAG5cuTi9y9/zxrvW4p3GUKmfhBZ3cHzZ+i1ayZBuf7FLtaKbsaafN2sOzns32ySsedXLp0zZw41atTAy8srPSOLDHLr1i1y586N1essUJVOouJhy014FJcwCu/5hSwKFsxF27Y16O1lJ8U7IYSwCEufLhGYHB0EpNPER6/pbngMbjlspXiXAunDhEjeDWMYPb79hA1fLsCqgBPqF9WIz29Pvnz5KFOmTLpMMG2LFW440IuqVCR/8g1V4C6op1Sun7rC4b/28OheGAWKF8L3nRo4ueVKcxZzpaoqxvh44mLjmbxyEiMWj2Rmzxm0qtKC+Ng44mLjiI+LJz42jvjYJ/dxL263Mlhj52CHrYM9tg522DraPXluh62jPdZpmHsqRVK8y1DSh4msbuHBrXxzcjmnXe6SK8KGwfaN+PTdgDeeDy88PJwyZcpw584dxo8fz8CBA9NlFXWR8W7fvs3Bgwdp2rRppp7XqML+O3A54uWFLFxcHNn2TUOs9G/cFUnxTgghzMYrRt7FW7ti1fpOJgZKEHT1IX0WH2bf8IZSvEuB9GFCvNq63f8waPhQSv3Wg4v3/+XchfPEx8dTsGBBSpcujYODQ5rPYYMVHuSiJ36UJIXLp0zAFTCeNRJ64DjB2w4THxtHqSrlqVjXFxs72zRneVMmk+m5ItqLBbW4JwW1Fwtsr9j+3DESz6Ga+Dp4Ctci/mWczxfktnF5KYdOr8fKYIW1wRora2usDFbExcYRHR5FbHRMktn11lbYOjwp6DnaY2tvi62j/XMFPrsnr9tjsLNJ/ag/Kd5lKOnDhKX4ZutvzL26gcu5wsgf5sCo/O/To957b1R4u3PnDj169GDNmjU0atSIn3/+mfz5U/hySJiFwMBAVqxYwaFDhyhfvnymnz80LGGl9OcXsoiJiWNYXTcZeSeEEBYh+Es4NQGM0S+9FG0yMP/eBxSoNZ5W3u6ZEkdVVZbsv8LodSeJjTdxefx7UrxLgfRhQqTeXSJYHHuI6UPGwQelufz4FqqqUrhwYUqWLImdXdoWklAAa/R4kY9uVMEdp+QbxwDnIPpiFEGbD3L2yCmsbQ2UreqJtY0Bk8mEyWhCNamYTCbUJ89ffpzw+rP2ppf2fX77S/san7Y3Yox/vVHWeuunBTYrrAzWT25WWFlbv7Td+sl2K4M1/z76l3fHv4dvcR9+//Q3DLaGhHZP2qf0YddoNBITEUVURBTREVFEh0cRHRFJdEQ0URGRT54/uyX12ULR6Z4U9xKKebZJFPiePrbNY4uuRprmJpTiXQqkDxOWxGQy8dGGBax8uJNbOSMpcd+FSWU64V+11msfS1VV5s2bx+DBg7G3t2fBggX4+/tnQGqRXm7duoWnpycFCxZk37592NjYZHqG29Gw9SbEm55dVyVz3gkhhKWIC4e/q0H4+RcKeNEmA5dj89Hy3GQiTXa09S3EF++VJYdtBl2aRMJlsp/9HsymU8/m2JPiXcqkDxPi9ezZs4eGDRsSuPwrrrztzOmzoVy8fBlFUShatCglSpRI8x/cOhSs0FGdwgTigyspjOx7DJyCB+fvceivPdy8eD3pY+p0KHodOt2Tm16HolOee5ywXXnyXKdTnnv87PUX9nu+vV73rOhmeFJ0s372+KUinbVVmuasm7tuLlN+m8K2ydvInztjRpSoqkpMZDTRT4t94ZGJRb2o8CiiI59tiwqPwmR8uXjp2dCHSiPTtNysFO9SIH2YsERRMTF0XTedjXHHeOgQg/fdAkyv2pOa5Txf+1inT58mICCAo0eP0rt3byZPnpwuo8VFxli7di3Nmzdn6NChjB8/XpMMEfGw+UbCvVGV4p0QQliWuHA4NRGOj07cdM/jMzrvrc2J26bEbfly2jK2RQUalsubrqc3mlRWHLrKxI2h3I94tuptmXw52Di4jhTvUiB9mBCv7+bNm+TLl4/7RPL1jl8Iqahy+uJZrly9il6vp1ixYhQvXhxr67R9WWGFgg4djShJOyqSk2QuiVWB26CeVokNj0FBea4Yp2g331Fq/9h/gw8FqqoSHReNneE/ox1Te6zUfGRIqk0y+6mq+uTS3BcLfLmLu+LaOk19nhTvUiB9mLBktx89pOP6KeyyOkO0IZ5690swo15vyhXxeK3jxMbGMmLECCZOnEipUqVYtWoV5cqVy6DUIq369OnDvHnz2Lp1K3Xq1NEkQ7wJdt+Gq5FSvBNCCMu09LnfzwEqETHxDFsVwpqgf19o9lYJV4a8U5pKhdK2YqOqqmw7c4ep/5wh+FrYC691rVmUT98tg53BSop3SZCV+oRIu8uXL1OyZEk8K1ek1bLhbHe7ycnQU1y/8S/W1tZUqlSJfPnypfk81ujQoaMV5WlJeWxJpihoBK4CUUm8piTxOKltqXn9Va+l97YUnkdERvD9L98zuNfgl1fqS+rYahKP/3uflm3P36tATiBt31dJ8S4F8jlMZAenb1yj65ZpHLK/Aqi0CPfiu8Z9KODq9lrH2bJlC0OGDGH9+vXp0jeJjBEREcFnn33GyJEjcXN7vX/j9KSqEBYHzoY0HUaKd0IIYZb+U7yDhALbnyE3GLXmBHfDY19o/lYJVwKqFqZh2bwYrFI/MuRRdBx/hdzk5z2XOHnj0QuvFXS24+tWntQpldDZKYoixbsUSB8mRNqsXLmSnj17oqoqU+fOQG1XlmUP93M4+CgPw8Lw8PCgXLly6TL6zYAeK3R0oDLvUgpr0jSXmkVYtWoV77//Pl9//TXDhg3TOk5GkOJdCqQPE9nJtjMhfLxvPsecrmMbp6dLfA2+fq8bzo6pX/lcVVUURcFoNPLpp5/y0UcfUahQoQxMLdLCaDSi12fpvl6Kd0IIYZaSKN499SAilgkbT7Pi0DWMphdfy2lrxVslXXmrhBul8+WgmKsDzvbWKIpCnNHE3fAYrt6P4siVBxy8eJ+d5+4SG2964RgGKx196hSnb53i2BmedXJSvEuZ9GFCpN2lS5cICAhg7969dOvWjbHTJ/CHbShTTq3m/MULODk54ePjk27zDNlihQ1WdKcKtfFAl43rO6qq0rZtW1avXs3BgwepWLGi1pHSW/b9x00F6cNEdrTs8A7GHF/GKZc7OEXYMMjubYY37oDBkPqpGoKDg6lRowazZ8+mU6dOGZhWvKk7d+7g7+9P//79CQgI0DrOm5LinRBCmKUUindPnb8TztR/zvBnyA1e9SvbSqdgVNUU29la62hXpTC9ahejgPPLKz1K8S5l0ocJkT7i4uIYNWoU33zzDaVKleLXX39FrZSHATeWciDoMKqqUrFiRQoUKJBu57TFCids6UVVfCmIkk3rPHfv3qVChQrkzZuXAwcOaLJCXwbKnv+oryBTPwgBE7f/wfeX/+RSrofkfeTAyDwt6NPAP9UjvW/cuEG+fPlQFIWtW7fi6+tLjhypH8UnMlZ8fDx16tThxIkTBAUFUaRIEa0jvYlk+zCNZuMVQgiRWsXdHJkZ4M3OofUY2KAk+Z2SmYAdiDclX7grXyAnw5uUYfen9RnVvHyShTshhMgs1tbWjBs3jk2bNvHo0SOqVq3K7pmr+CNfHwJqNyOnYw4OHz5McHAwxiRWJX0T0cRzi3Amsp1BrOMkt9LluFmNq6sr8+fPJzg4mDFjxmgdR2QCVVXXqqray8nJSesoQmjmkzotOd9xHoP1jVFU6Be9hJKLerFq77ZU7Z8/f34UReHhw4f4+/tTqVIl9u3bl7GhRapZWVmxaNEijEYjgYGB6fa3g7mQkXdCCKGlVIy8+y9VVTlzK5wdZ+5w7OpDLtyN4PK9CCJjn3VQro4G8ua0pWz+nPgWyYWfhwvF3BxTdXwZeZcy6cOESH937tyhS5cu7Nmzh1OnTuGaLw9zTXuZfnotZ86fI2fOnPj4+ODomLrfY6llg56SuNKY0pTElbw4ZqvReJMmTaJFixaUKFFC6ygAPCSKaOLJR5pGsmSff8A3IH2YEAmiY2Lp/ucMNsQe4YFDDJXu5uO7Kj2oXaFSqvbftWsXHTt25Nq1a3z55ZcMGzbs5UWAhCZ+/vlnunbtyvjx4xk6dKjWcV6XXDYrhBBm6Q2Kd8lRVZU4o4qigLX+zQdWS/EuZdKHCZExVFXl3LlzlCxZElVVCQ4OJqKiM0Nv/cbBo4cwmkx4eXnh7u6erudVAFusMWFCQaEIufAkL6VxoySuuGCfruczR6qqEh8fj7V16ud/Si+3CGcvl9nCeS7zgJK4MommaTmkFO9SIH2YEC+6+/gRndZPYYfuNFE28dS5V4yZ9fpQvmixV+4bFhZGv379WLJkCTVr1mTRokV4eHhkQmqRElVVad26NaGhoRw5ckSTvi0NpHgnhBBmKR2Ld+lFincpkz5MiIw3f/58evfuzd69e3H3K8OQqDX8fWQn9+7fo3DhwpQvXz5DRzgogB3WxGHEgBXFccGTfJTCjZLkxhHLmSPOaDTSpk0b8ufPz8yZMzP8fCoql3nIbi6xnQvcJwqAWBJGjxfDhWk0S8sppHiXAunDhEja2Vv/0mXTNA7aX0JFpdnjCnz3bh8K5cn7yn2XLl1K3759UVWV77//no4dO2ZCYpGShw8fYm1tnW4LX2WiZPswGdcphBBCCCHMStu2bYmMjKRKlSooKPxg/QEzqhfkl9B/OH3uDA8ePMDHxyfDJgpXgUjiAIgjlmBucoJb2GBFDEZyYKAkrniRj5K4UgwXbMlS3+wn0uv1FClShKlTp+Lv78/bb7+d7ucwoRLKHXZxiZ1cJIp4jJiIx/TqnYUQIhOUzFuA3R0msPPsSQbtnctqpxA27BxI59hqjG/WA2fH5PubgIAAatSoQadOnejUqRPr16/n+++/x9nZORPfgXje0599ZGQkf/75J61bt9Y4UdrJyDshhNCSjLzLcqQPEyJzXbx4kQYNGjB16lTs/Msy5vY6Dhw9RHx8PJ6enhQqVAhF0WawlTU6rNETQzwu2FMGNyo8KegVwRlr9Jrkel1RUVH4+Pjw6NEjjh8/ni4fOOMwEsJNdnCRfVxBRSUGIyZS7utk5F3Gkj5MiNRZeXQ3o4KXcNLlNjkjDQwwNGRE0w7YGJIfeW00Gvn222+ZMGEC+/fvp0yZMpmYWCRl3LhxfPHFF6xfv57GjRtrHSc15LJZIYQwS1K8y3KkDxMic124cIE2bdpw+PBh+vXrR79JwxnJP2w/spc79+7i7u6Op6en2UwUbkCPHh2xTxZeKEdeypGHkrhSkJzoefM5STPSoUOHqFatGgEBASxcuPCNjhFFHEe4zjYucIx/0aEjmrhXlOteJMW7jCV9mBCvZ9rONcy4sIYLLg/J88ieL1z9+bBhC/T65L+cefDgAbly5UJVVZYvX87777+f1eZdsxjR0dH4+vpy7949goODcXNz0zrSq0jxTgghzJIU77Ic6cOEyHyxsbEMGzaMKVOm4OXlxY+/LmR1mZusOruTk6GncXBwwNfXl5w5c2odNUm2T2aqMWLCHScqkI8yuJEXR5ywwxlbbMxgNptRo0Yxe/ZsgoODyZv31fM8ATwimgNcZQvnOc0drNERRfwbZ5DiXcaSPkyI12cymfjs74UsvruNG07heDxw5pvi7Wlbs0GK++3Zs4eaNWvyww8/0KNHj0xKK/4rKCgIPz8/mjRpwqpVqzQbrZ9KUrwTQgizJMW7LEf6MCG0s2HDBgIDA4mIiOC76d/h3M2PGfc2s//IIeLi4ihfvjxFihQx9z/Mn6xwa4WCghGVOIzoUHDAQE5scMIWVxxww4Fc2OGMHU7Y4owtTtjiiA26DKhRxcXF8fDhw1eOTLhDOHu5whbOc4WHWKEjOg0Fu+dJ8S5jSR8mxJuLiYuj57qZ/Bl9mPuO0Xjezct0n+7U9fJOdp9NmzZRr1499Ho9165do2DBgmbfR1miyZMnM2TIEObPn0/37t21jpMSWbBCCCGESAtFUZoBzUqUKKF1FCGyrcaNGxMUFESnTp3o2aMnbf9py4S5Yxhfx5ndRw8QEhLCvXv38PLyMutLlFR4aXSaCZUwogkjmquEJW63RocVOnQomFCJx4QRFVuscMQGZ2zJhR1uOJAbB5wTi3x2icW+1M69Z21tjZubG/Hx8axatYrWrVujKAoqKlcJYw+X2cZ57hCJwrMVYmXhCSFEdmBjbc3CloN5EP6YTn9OZZvjKepd/ppah4sys24fvDxe/huxYcOGANy9exdvb29q167NvHnzcHFxyez42drgwYO5fv06derU0TrKG5ORd0IIoSUZeZflSB8mhPaMRiMTJkxgxIgRlChRgu3B+5lgvZO/zx3gROgp7Ozs8PHxyXYr/elRsEafOCrPiIlYTFijSxzVlws7cmOPG45PCn3PinzO2GGPNYsXLaZz58588/N03AKrsZOLRBCL8UnxMCPJyLuMJX2YEOnn4p2bdP5nKgdsL2LUqXSKrMrcDz7CYHj5yyOTycTkyZP5/PPPyZMnDwsXLqR+/foapBaqqqKqKjqdWc5BK5fNCiGEWZLiXZYjfZgQ5mPv3r2cPn2arl27YsTEQvUwv9zfw/4jB4mNjaVcuXIULVpULlFKxtPFNRRARSUOEyZUbI16ttQbw4OgK9QLGYdt4cwbISLFu4wlfZgQ6W/fxdP03jGLYJcbFL+fiz9qf4anR/Ek2x45coSAgADOnDnDkCFDGDNmDDY2ya9gK9JXbGws7du3x8vLiy+//FLrOElJtg8zy1KjEEIIIYQQr1K9enW6du0KwOrf/2Bpo+GMVOrzTp36uLm5cfz4cQ4dOkRsbKzGSc1TLEaiiCOSOKKIJ/5J8S5SH4/nz91RjSaOdpuPapLLYrM6RVGaKYoyLyws7NWNhRCvpZpHGYICZzDI1Ih/HR7hd2Q4X69bgimJ353e3t4cOXKE3r17M3HiRKpXr86pU6c0SJ09GQwGHBwcGDNmDPv27dM6zmuR4p0QQgghhMjyIiMjiYuL4y3H0swztKFVlYZ4lqvArVu32LFjBw8ePNA6YpbiUCwP5ae05+7mk1yatVnrOCKNVFVdq6pqLycnJ62jCGGxpvr3YkvFr8gfkYPP1T9465ch3L5//6V29vb2zJ49mzVr1nD16lV8fHyYPXs2WlwVmR3NmDEDd3d3OnbsSHh4uNZxUk2Kd0IIIYQQIsvr1KkTW7duxWAwYHU/FrcxQXQtVI+6NWsBsHv3bs6fPy8fjl5D4Z51KPphfZyreGgdRQghsoRqJcsQGjCHZo+92O9ylbIbB/L7vu1Jtm3WrBkhISHUrl2b/v37c/z48UxOmz05OTmxaNEiLly4wODBg7WOk2pSvBNCCCGEEBbh6dx2f/zxB6O//IqlNYfQ/V4F3q5dn3x583Ly5EkOHDggl9GmkqIoeM7qTK5qCSsoSuFTCCFezdrKijUBI/k5Tx/0qkLr2zNov/hrYmJjXmqbL18+1q9fz65du/D09ATgzJkzmR0526lVqxafffYZa9as4c6dO1rHSRUp3gkhhBBCCIvSvXt3Vq1axblz5+jr3YIGK+No7FuHihW8uHv3Ltu3b+fevXtax8wyTPFGQgYs4ty3f6brcVVVxWg0EhsbS3R0NBEREUTFRqfrOYQQQiudqjfgZJOZ+Dxw51enI5T59UOOngt9qZ1Op6N69eoA7Ny5kzJlyrBy5crMjpvtjBo1ipCQENzc3LSOkipWWgcQQgghhBAivbVs2RIfHx8CAgL4qGNvOv7TiRYz2+Fa04W9hw+wd+9eSpcuTYkSJV65Gq2qqphMJoxGY+J9co9T2vb8a6qqoihKijedTvfKNhnV9mlh7WnmR1fucHnuNkyV82BbNm+q33NKP4ekJnOPLF0JSmXU/xVCCJG5XJ2dOBg4jWFrf2K63UaqBY/g0+ONGdU8EJ3u5bFUVapUYcyYMTRt2hSA+Ph4rKykbJMRDAYDefLkwWg0snz5ctq3b2/Wq9PL/wVCCCGEEMIiFS5cmG3btjF69GjGjh1Lyb376b/8Wxxq1+NQ8FFOnz7Nv//+i8FgeO0i0+vQ6XTo9Xr0en3i46cfEEwmE6qqpnh7ev605kiTNoVh5xnO9FkMU+qDtT7xJZ1Ol/i+/nuv1+uxtrZ+aVty7Ys7FdbuPQohRAb5pllX2lyqRZvtExjj8id//XKM1c2+oIDri6O+bG1t+fzzzwGIiIigevXqdO/enQEDBiRZ7BNpt2rVKjp06MD9+/fp37+/1nGSJcU7IYQQQghhsaysrBg9ejT169enQ4cODKnajqGTRpGjfw1OuJ7l0pXLGI3GVBeZXrXtv68/HeWWXl6n0Jeatsm9pijKS+/rgWEex8AAACAASURBVE1BjreeS5E9kZT5+oOXCpHpwZVc6XYsIYQwJ5WLluB0odm0WzGeP3IdpfymQcwq2IWAWm8n2T4mJgYPDw8GDRrEhg0b+Omnn8ifP38mp7Z8H3zwAU2aNOGTTz6hfv36lCtXTutISVK0mHjW19dXPXToUKafVwghzM7S5z7wBJjHROCKohxWVdVX6xzmSvowIbKuu3fv0rVrV0qWLMlXU75hPNsI5S4xxCe7j5J4e/6/CY+UxDZKYtsX/5v08ZL6bZ/c9pSoqC/sqb7w2ouP1Bf2efZKwhHUxMfPt3j6TnTPPTva60euLdvHuxenYOuaA577OTy/z7P/pp4RFQ9yMYEmr7nnC8z3miczIH2YEOZhxcEdDDyzgFs5I2j5wIvFbYZib2v7UjtVVZk3bx6DBw/GwcGB+fPn4+/vr0Fiy3br1i08PT0pWLAg+/btw8bGRqsoyfZhUrwTQggtSfEuy5E+TIis7elcblZWVuzdv49tUaHkrFsKPQp6dE9uSuK9DgUduif3CTf9c491ybRJuu2LbSChVKY+uTc99/jF7S9uMz0pr5leavfidtOTM/x3/+ePk9K5nuVNKNHpUIh+HEnYzbu4l/RA96SEqX9yr8AL70/5z89CeXIs3ZN3n1RbVxzIhV1a/omleJcC6cOEMB8Pwx/TZNUo9ua6jPvDHKzw/R/Vy1ZIsu3p06cJCAjg6NGj9O7dm8mTJ+Pg4JDJiS3bmjVr8Pf3Z+jQoYwfP16rGMn2YXLZrBBCCCGEyDYURUmc/PurL0dx/vx5Tp48ibW1tcbJsogcCTdVVTlw4ABVq1bVOpEQQmRJzo452NN5Ml9tWMIkm3XUOT2aQScb8m3LHi/Nb1emTBn27dvHiBEjmDhxItu2bWPp0qV4e3trlN7yNG/enK+++opGjRppHSVJMuOhEEIIIYTIln777TfWrVuHtbU1MTExXL16VetIWcYvv/xCtWrV2Lhxo9ZRhBAiS/uycQf21/gWj0e5mGj4G+9fBnL51s2X2hkMBsaPH8+mTZsIDw+nWrVqnDlzRoPElmvkyJFUq1YN0HiRqCRI8U4IIYSwAI6OjgBcunSJChUSLrnYtm0bTk5OVK5cmdKlS1O7dm3WrVunZUwhzIqjoyOlS5cGYMSIEXh5ebFq1SqNU2UN7dq1o1y5cnTr1o0HDx5oHUdkcdKHieyunHsRTnb8noDIqpxwvo3n9o/5cev6JNvWr1+f4OBgvvvuO0qVKgUkLG4h0s///vc/AgMDtY7xAineCSGEEBasVq1aHD16lNDQUKZPn07//v3ZvHmz1rGEMDu9e/emRIkSvP/++/Tt25eoqCitI5k1W1tbFi5cyO3btxkwYIDWcYSFkj5MZCd6vZ4lbT/h96IfkyPWQPfwH3nvl5E8jox8qa2Liwt9+/YFICQkBA8PD3bu3JnZkS2Ws7MzixcvZtmyZVpHSSTFOyGEECKbqFSpEiNHjmTmzJlaRxHC7BQvXpzdu3czZMgQ5syZg5+fHydOnNA6llnz8fFhxIgRLFmyhN9//13rOMLCSR8msovmlasR2nIWtR4U50+Xk5RZ9SHbQ44l297e3h5fX1/KlCmTiSkt27Bhw6hevTp9+/blypUrWscBZMEKIYQQ2ZiiKGWBjwBXYLOqqrPTesyxS45x6srDNGd7XtnCznzRoVK6HMvb25uJEyemy7GEsDQGg4GJEyfSoEEDAgMDqVKlCtOmTaNnz54oiiximpRhw4Zx4MABbG1ttY4i0oH0YUKYB0cHB3Z0Hs+3/6zkm8g/aHhuHH1P1WHq+33R6/UvtC1evDhr1qwBID4+nq5du9K/f39ZUCgNrKysWLx4MRUrVqRz585s3rz5pZ97ZpORd0IIIbIkRVF+VBTltqIox/+z/V1FUUIVRTmnKMpnKR1DVdVTqqr2AdoANTMyr7lQVVXrCEKYvXfffZegoCBq1qxJ7969adOmDQ8fpm9Bw1JYW1uzbt06mjZtqnUUkQ1IHyaym8/ebs3h2hMo+ciVGXbbqLhoAOf/vZZs+2vXrrFz505q1qzJmDFjiI+Pz8S0lqVYsWLMmDGDAwcOEBISonUcGXknhBAiy/oZmAksfLpBURQ9MAt4G7gGHFQUZQ2gB775z/7dVFW9rShKc6AvsCg9QqXX6IKMcvToUcqWLat1DCHMXr58+di4cSMTJ07kiy++IE+ePMyaNUvrWGbLaDQyceJEChQoQOfOnbWOk22k9why6cOEMD8l8rtzvNMsevw+nSU591Bp9yeMd27Lh2+3eKlt0aJFCQoK4sMPP2TkyJFs3LiRxYsXU7Ro0cwPbgECAwNp2LAh7u7uWkeRkXdCCCGyJlVVdwD3/7PZDzinquoFVVVjgV8Bf1VVQ1RVfe8/t9tPjrNGVdXGQIfMfQeZLzg4mDFjxtCvXz+towiRJeh0Oj799FN2797N2LFjAbh79y5Go1HjZOZHURT++usv+vfvz+XLl7WOk6W9zsjy7DSCXPowkZ3pdDp+bD2ItSU/xTnaln7Ri2n083Aehj9+qa2TkxNLlixh8eLFhISEULFiRZYsWaJB6qxPURTc3d1RVZXffvtN08WsZOSdEEIIS1IQuPrc82tAshN+KIpSF2gF2ADrU2jXC+gFULhw4fTImWl27txJ5cqViYyMJE+ePEyfPp0GDRpoHUuILMXPzw+AuLg43n33XYoVK8aKFSs0TmVedDodP/30E15eXnTt2pVNmzah08k4gTf0M6kcWa6q6sn0HkFuTqQPE+JFjTx9CC05m2YrR7PJ5Qyl1nxIhbj8ybYvN6Idp+b9SceOHfnfzHGU6vw2VvY2mZjYMjy+fItDXy6kYENvSnVM/ndQSZt8zG33cYZkkOKdEEKIbEtV1W3AtlS0mwfMA/D19TXLCXfCw8OBhMsljh9PGKxRt25dwsLCtIwlhEWxsrKiX79+5M6dW+soZsnDw4OpU6fSs2dPZs6cycCBA7WOlCWpqrpDUZSi/9mcOLIcQFGUXwF/4KSqqmuANYqi/Akszcys6UX6MCFSz97Wls2dvua7rf/HlIf/x0mrW8k3zg82X9TDYe1xbq0K4s65K7iMeBd9bofMC2wJioP9O2W5vvEIEZVzYVOxYJLN7sVk3Mg8Kd4JIYSwJNeBQs89d3+yTQgh0kxRFLp27Zr4fMqUKVy7do1vvvkGGxsZyQDQvXt3Vq9ezfDhw+nYsSMuLi5aR7IUSY4sT80I8qw8elwIkbyP6vnT39SMK1GpWFDpfTjW7xDLf1nMuK5TZGT0G4h+J4oWtRvyYOFx/tw/GxfXl7/Iy6HPuL8FpHgnhBDCkhwESiqK4kFC0a4dEJAeB1YUpRnQrESJEulxOCGEBbh+/TpTp05l+/bt/Prrr5QsWVLrSJpTFIUffviBS5cuSeEuE6RmBHlWGD0uhHgzep0OD4fU/a71qNuIlnUbAQmr0vbs2ZNZs2ZRrFixjIxoORxgxbJf8fPzY+ygoaxatQpFUTLt9FJuFUIIkSUpirIM2AuUVhTlmqIo3VVVjQf6AxuBU8AKVVVPpMf5VFVdq6pqLycnp/Q4nBDCAkyePJnVq1dz6dIlvL29WbTI4qYceyP58+enevXqAFy9evUVrUUqychyIUS6OXv2LCdOnJAFmF5TxYoVmT59OoGBgZlauAMp3gkhhMiiVFVtr6pqflVVrVVVdVdVdcGT7etVVS2lqmpxVVXHaZ1TCGHZ/P39OXbsGN7e3nTu3JnOnTvz+PHLq/9lR4sWLaJEiRIcPXpU6yiWIHFkuaIoBhJGlq9J7c6KojRTFGWezCEnhACoV68e586do2TJkqiqytSpU7l//77WsbKE3r1706JFCwBMJlOmnVeKd0IIIYQQQqRBoUKF2LJlC6NGjWLJkiV4e3tz+PBhrWNprmnTpuTOnZtOnToRHR2tdZwsIyNGlsvocSHEfxkMBgBOnDjBp59+ipeXF1u2bNE4VdYxa9Ys6tWrR3x8fKacT4p3QgghRCrIqAUhREr0ej1ffvklW7duJTo6murVq7NixQqtY2nKxcWFBQsWcOLECUaOHKl1nCxDRpYLITJThQoV2Lt3L46OjjRs2JChQ4cSGxurdSyzlzt3bnbs2MHXX3+dKeeT4p0QQgiRCuY+asHR0THVbbdt28aePXsSn69evZqTJ08mPh85ciSbNm1K13xCZBe1a9fm2LFjtGvXDj8/P63jaK5x48b06tWLSZMmsXPnTq3jCDMlfZgQ2vLx8eHw4cP06tWLiRMnUq1aNU6dOqV1LLPWrl07OnTowOjRo9m/f3+Gn0+Kd0IIIUQ286oPPqNHj6Zhw4ZaRBPCIuTOnZuFCxdStGhRVFWlZ8+e2fpSpMmTJ1OhQgWuXLmidZRsy5JGj0sfJkTGcHBwYM6cOaxevZqrV6/i4+PDnDlzUFVZpDo5s2bNomDBgnTs2JHw8PAMPZcU74QQQggLtXbtWqpWrUrlypVp2LAht27d4tKlS8yZM4epU6dSqVIltm/fzpo1a/jkk0+oVKkS58+fp0uXLvz2228AHDx4kBo1alCxYkX8/Px4/PgxRqORTz75hCpVquDl5cXcuXM1fqdCmK87d+6wa9cuTpxIl4WvsyRHR0eOHj1Khw4dtI6SbZn76PGkSB8mhDb8/f0JDg6mVq1a9O3bF39/fx48eKB1LLPk5OTEokWLuHz5Mps3b87Qc1ll6NGFEEIIC6EoSjOgWYkSJVJsd3D6bh6cu5uu585VwpUqA2u+9n5vvfUW+/btQ1EU5s+fz4QJE5g8eTJ9+vTB0dGRIUOGANC8eXPee+89Pvjggxf2j42NpW3btixfvpwqVarw6NEj7OzsWLBgAU5OThw8eJCYmBhq1qxJo0aN8PDwSJf3K4QlyZMnD0eOHMHW1haAf/75h5IlS1K0aFFtg2UyvV6PqqosWbKEPHny0KhRI60jiSRIHyaEAMifPz8bNmxgxowZLF26FHt7e60jma3atWtz/vx5ChUqlKHnkeKdEEIIkQqqqq4F1vr6+vbUOktqXbt2jbZt23Ljxg1iY2Nf+4NJaGgo+fPnp0qVKgDkzJkTgL///pvg4ODEkQ1hYWGcPXtWPvgIkQw7OzsgoZjQo0cPwsLC+OGHH2jdurXGyTJXXFwc3377Lffv3+f48eO4uLhoHUmYMenDhNCWTqfjo48+on///uj1eh49esSUKVP47LPPEr+QEgkyunAHUrwTQggh0tWbjC7IKAMGDODjjz+mefPmbNu2jVGjRqXLcVVVZcaMGbzzzjvpcjwhsguDwcDWrVtp3749bdq0oWfPnkybNi3bjGgwGAwsWrQIPz8/+vfvz9KlS7WOlG2kdvS49GFCiP/S6/UArFu3jnHjxtG0adPEorjIPDLnnRBCCGGhwsLCKFiwIAC//PJL4vYcOXLw+PHjZJ8/Vbp0aW7cuMHBgwcBePz4MfHx8bzzzjvMnj2buLg4AM6cOUNERERGvhUhLEaxYsXYtWsXQ4cO5YcffqBKlSqEhIRoHSvTVK5cmZEjR7Js2TJWrlypdZxsIyvOeSd9mBDmJSAggNDQ0MTC3Y4dOzCZTBqnyj6keCeEEEJYgMjISNzd3RNvU6ZMYdSoUbRu3RofHx9cXV0T2zZr1ow//viDSpUqsXPnTtq1a8fEiROpXLky58+fT2xnMBhYvnw5AwYMoGLFirz99ttER0fTo0cPypUrh7e3NxUqVKB3797Ex8dr8baFyJKsra0ZP348Gzdu5N69e/j5+TF79uxss6LfsGHD8PPzo2/fvljC6qci7aQPEyJrKFasGACHDh2iTp06NGnShBs3bmicKntQtPgjwdfXVz106FCmn1cIIczOUuXZ4wDz+NCmKMphVVV9tc5hbp675Kjn2bNntY4jhLAQt27dIjAwkI0bN9KqVSvmz59Prly5tI6V4UJDQzl58iQtW7ZM70Mrr26SfcnnMCFEelBVlTlz5vC///0PBwcHFixYQPPmzbWOZQmS7cNk5J0QQgiRClnxkiMhhPnLmzcv69evZ+LEiWzcuJGLFy9qHSlTlC5dOrFwFx4ernEay6coSjNFUebJSEchRHpQFIW+ffty+PBh3N3d8ff3p2/fvkRGRmodzWJJ8U4IIYQQQggN6XQ6hgwZwuXLl/H29gZg/fr1GI1GjZNlvBUrVuDh4cGlS5e0jmLR5AsoIURGKFu2LPv27eOTTz5hzpw5eHt7c+TIEa1jWSQp3gkhhBBCCGEGcufODcCBAwdo2rQp8+bN0zhRxqtatSoxMTF06dJFJj4XQogsyMbGhgkTJrBp0ybCw8OpVq0aEydOlN/p6UyKd0IIIYQQQpiRKlWqsGrVKrp37w5g0Ys6FClShO+++47t27czffp0reMIIYR4Qw0aNCAoKIjmzZszffp0Hj16pHUkiyLFOyGEECIVZL4gIURmURSFli1bYjAYuH//Pl5eXnz00UfExMRoHS1DdOnShWbNmvHZZ5+9sFqoEEKIrCV37tysXLmSAwcO4OzsTGxsLH/99ZfWsSyCFO+EEEKIVJD5goQQWnBwcKBly5ZMnz6datWqERoaqnWkdKcoCvPmzWPSpEl4eHhoHUcIIUQaKIpC/vz5AZg3bx6NGzfm8OHDGqfK+qR4J4QQQliIcePGUb58eby8vKhUqRL79+9Ptm3RokW5e/duqo89atQoJk2alB4xhRCvwcbGhmnTprF27VquXr2Kj48PP//8M6qqah0tXeXLl4/+/fuj08nHk4yQFUaPSx8mhOXp3bs3v//+Oz4+PgDcuXNH40RZl/SOQgghhAXYu3cv69at48iRIwQHB7Np0yYKFSqkdSwhRDp57733CAoKokqVKnTt2pWOHTvKfEIi1cx99Lj0YUJYJmtra1q1agVAUFAQRYsWZezYsdliNfX0JsU7IYQQwgLcuHEDV1dXbGxsAHB1daVAgQJs3ryZypUr4+npSbdu3V6YM2vChAl4enri5+fHuXPnALh06RL169fHy8uLBg0acOXKFU3ejxDiZQULFmTTpk2MGTOGX3/9FW9vbw4ePKh1LCHSTPowISxfkSJF8Pf3Z8SIEdStW5dLly5pHSlLsdI6gBBCCGFJBh3/iWOPLqbrMSvl9GBaha4ptmnUqBGjR4+mVKlSNGzYkLZt21K1alW6dOnC5s2bKVWqFJ07d2b27NkMGjQIACcnJ0JCQli4cCGDBg1i3bp1DBgwgMDAQAIDA/nxxx8ZOHAgq1evTtf3I4R4c3q9ni+++IJ69eoREBBAzZo1OXPmDEWLFtU6mrAA0ocJITKKs7MzS5cupWnTpvTt25eKFSsye/ZsAgICtI6WJcjIOyGEEMICODo6cvjwYebNm4ebmxtt27Zl7ty5eHh4UKpUKQACAwPZsWNH4j7t27dPvN+7dy+QcOnS0z+iOnXqxK5duzL5nQghUqNmzZocO3aMH374IbFwZ6mr0QrLJ32YENlHhw4dCAoKokKFCnTo0IGOHTtizvNxmgsZeSeEEFqq8KXWCUQ6e9Xogoyk1+upW7cudevWxdPTk1mzZqXYXlGUJB8LIbKGXLlyERgYCCQULdq0acP//d//4e3trXEykVVJHyaEyAweHh5s376db775hq+++opdu3axePFi3nrrLa2jmS0ZeSeEEFryGvXsJsyaua/UFxoaytmzZxOfHzt2jOLFi3Pp0qXEuYAWLVpEnTp1EtssX7488b569eoA1KhRg19//RWAJUuWUKtWrcx6C0KINMiZMydeXl4UK1ZM6yhCvDbpw4TIfqysrBgxYgS7du1Cr9fTvHlzHj9+rHUssyUj74QQQohUUFV1LbDW19e3p9ZZkhIeHs6AAQN4+PAhVlZWlChRgnnz5tG+fXtat25NfHw8VapUoU+fPon7PHjwAC8vL2xsbFi2bBkAM2bMoGvXrkycOBE3Nzd++uknrd6SEOI1lC9fnj///BNIuHy2X79+fP7553h4eGicTJgDRVGaAc1KlCihdZQkSR8mRPZVrVo1jh07RkhICDly5EBVVa5fv467u7vW0cyKoqpqpp/U19dXPXToUKafVwghxKspinJYVVVfrXOYK+nDhBDm7siRI9SvXx9VVZk3bx5t27bVOlJmkusnUyB9mBDC3M2dO5f//e9/HDhwgHLlymkdJ7Ml24fJZbNCCCGEEEJYEG9vb44dO0b58uVp164dPXv2JCIiQutYQgghxCs1adKEQYMGUbZsWQBMJpPGicyDFO+EEEIIIYSwMEWLFmX79u0MHz6cBQsW4OvrS3BwsNaxhBBCiBQVKlSIsWPHoigKV65coWLFimzdulXrWJqT4p0QQgghhBAWyNramnHjxvHPP//w8OFD/Pz8mDVrFlpMmyOEEEK8rsePHxMXF0eDBg349NNPiY2N1TqSZqR4J4QQQgghhAVr0KABwcHBNGjQgP79+9OqVSuioqK0jiWEEEKkqHz58hw+fJhevXoxYcIEqlevzunTp7WOpQkp3gkhhBBCCGHh3NzcWLt2LVOmTMHW1hZbW1utIwkhhBCv5ODgwJw5c1i9ejWXL1/G29ubuXPnZrtR5FK8E0IIIYQQIhvQ6XQMHjyYpUuXoigK586dY9y4cRiNRq2jCSGEECny9/cnJCSEWrVq0adPH1q0aMGdO3e0jpVppHgnhBBCpIKiKM0URZkXFhamdRQhhEgTRVEAWL58OZMnT+bWrVsaJxJCCCFeLX/+/GzYsIGpU6fy119/4evrm22mgZDinRBCCJEKqqquVVW1l5OTk9ZRNLV69Wp69uxJ27Zt+fvvv7WOI4RIg88//5zg4GAKFCiAyWRi9+7dWkcSGUS+gEogfZgQWZ9Op2PQoEEcPHiQr776Cjs7OwDi4+M1TpaxpHgnhBBCZANRUVHUqVMn8fK4bt26kSdPHipUqPBS2z59+iT7Ib5Fixb88MMPzJkzh+XLlwMQGxtL7dq1Lf6PJiEskbu7OwALFy7krbfeYsCAAURHR2ucSqS3rP4FlPRhQoj/8vLyokuXLgCsWbMGb29vrl69qm2oDCTFOyGEEMKC/Pjjj2zZsoWxY8fStGlTfvzxx8TtrVq1Qq/XA9ClSxf++uuvJI+xb98+qlWrluJ5xo4dS79+/QAwGAw0aNAg8YOQECLrad++PYMHD2bmzJlUrVqVU6dOaR1JZEPShwkh3oSdnR3u7u7kyZNH6ygZRop3QgghhIUYOnQobm5ubNiwgY4dOzJp0iT69+/PjRs3WLJkCf7+/olta9eujYuLy0vHOHXqFKVKlUr8gPTXX39RqVIlKlWqRNWqVTEajXz66ac0btwYb2/vxP1atGjBkiVLMv5NCiEyhI2NDVOmTOHPP//k33//xdfXlwULFmS71fyEdqQPE0K8qbfffpv169djY2PDw4cP6datGzdv3tQ6VrqS4p0QQghhAU6cOMGWLVto1qwZDx48YMCAAZQtWxY3NzeuXLnChQsXKFq06CuPs2HDBt59993E5wMGDGDDhg0cO3aM/fv3M2vWLDZt2sRvv/3GnDlzEttVqFCBgwcPZsRbE0JkoiZNmhAUFES1atXo0aMH7du3J7vPkyYynvRhQoj0cvDgQZYtW4anpydr167VOk66sdI6gBBCCGFp6tat+9K2Nm3a8OGHHxIZGUmTJk1eer1Lly506dKFu3fv8sEHH7zw2rZt2155zlWrVlG/fn0A5s+fDyTM43Pnzh3c3d1xdnZOVfaNGzfy008/JT5v0qQJXl5edOjQgWnTpjFw4EAGDhz40n56vR6DwcDjx4/JkSNHqs4lhDBPBQoU4O+//2b8+PGMHDmSAwcOsGzZMqpWrap1NJEJpA+TPkyIrOztt9/m8OHDBAQE0Lx5c/r27cukSZOwt7fXOlqayMg7IYQQwgJcv379pUuIFi1axAcffIC9vX2qJqCPjIzk4cOHFChQAIA9e/agqio3btxg2rRpr9w/JiYGW1vbN3sDQgizotfrGT58ODt37sRkMjF06FC5hFZkGOnDhBDpqVy5cuzfv58hQ4Ywe/ZsfHx8OHr0qNax0kRG3gkhhBDpLKVRBvb29im+7urqmqpRCv/l6enJxo0bE58fO3aMhQsX8scff5ArVy6MRiPR0dEpfjDZunUr9erVS3y+cuVKSpUqhZWVFaqq8vjxY3LmzJnkvvfu3cPV1RVra+vXzi6EMF/Vq1fn2LFjREREoCgK9+7dIy4ujnz58mkdTWQQ6cOEEJbAxsaGiRMn8s477xAYGEjVqlX5+uuv+fjjj9Hpst44tqyXWAghhBAv6dmzJy4uLjRp0oQ+ffqwaNEiVq9enTiSoVGjRuzatSuxffv27alevTqhoaG4u7uzYMGCl+YKat++PXPnzsXLy4tq1apx9uzZZM+/detWmjZtmnFvUAihGWdnZwoWLAhA37598fPzS9VIKCFSS/owIURGadiwIcHBwbz33nt88sknNGrUiLi4OK1jvTZFi+Hvvr6+6qFDhzL9vEIIIV5NUZTDqqr6ap3DXGXVPuzIkSNMnTqVRYsWJdvG29ub/fv3v9HIg1atWvHtt99SqlSptMQUQpi5EydOEBwcTPv27QEwGo2JK3uaCUXrAOZM+rCkSR8mhOVTVZUff/yRM2fOMH78eK3jJCfZPkxG3gkhhBDZgLe3N/Xq1cNoNCbb5siRI2/0oSc2NpYWLVrIhx4hsoHy5csnFu5WrlxJjRo1uHDhgsaphKWTPkwIkVaKotC9e/fEwt2BAwfo2bMn4eHhGidLHSneCSGEEKmgKEozRVHmhYWFaR3ljXXr1i1DRsgYDAY6d+6c7scVQpg3g8HAmTNnqFSpEsuWLdM6jrBw0ocJIdLT/v372bx5M/Hx8VpHSRUp3gkhhBCpoKrqWlVVezk5OWkdRQghzIK/vz/Hjh3Dy8uLgIAAunXrRkREhNaxRBIs4QsoIYRITwMGDOD48eM4yj2XIQAAD55JREFUOzsTExPD3LlzUxzdqzUp3gkhhBBCCCHeSJEiRdi2bRtffPEFP//8Mz4+Phw7dkzrWOI/5AsoIYR4mb29PQC//fYbffr0oV69ely+fFnjVEmT4p0QQgghhBDijVlZWTFmzBg2b97M48ePqVq1KtOnT0eLhfGEEEKI1xUQEMDChQsTR5Ob41QQUrwTQgghhBBCpFm9evUICgqiUaNGfPTRRwwcOFDrSEIIIcQrKYpCp06dCAoKokKFCgQEBNCpUyfMaaoBKd4JIYQQQggh0oWrqytr1qzhu+++IzAwEEBG4AkhhMgSPDw82L59O1999RXLli2jYsWK7Nq1S+tYgBTvhBBCCCGEEP/f3v3HWFWndxz/PNxxFiX+oowtyBo2raMlSCdkAmOb8ENXOgt0Gae0y7R2nLDFzBog/EGExgb+qBtRVBrdjQvLrzCZItoCAmWY0iBBYCXDTnAVKKuS6EIwOLZaVHAC8/SPGacjzM977znnO/e+X8n54/y43/Pcee65z5zv/Z5zssjMtGjRIpWWlkqSFi1apBUrVtCJBwAIXkFBgZYvX65Dhw4plUppypQpWr58eeIPs6DzDgAAAEAkrl69qi+++EJffvmlzCzpcAAA6JeysjIdP35c1dXVeueddzRkSLLdZwWJ7h0AAABAzkqlUtq4caPa2tokSYcPH9aFCxf08MMPJxwZAAC9u/nmm7Vx40a1trbKzPTBBx/ozTff1KOPPhr7D1KMvAMAIA9cunRJU6ZM6RzyP2/ePN1xxx0aN27cddvW1tbq8OHD3bbT2tqqyZMn68qVK5HGCyC3fDNi4YUXXlBlZaUef/xxXbp0KeGoMFhQwwAkqbCwUJL00ksvafHixWppaYk9BjrvAADIIRs2bND+/fv11FNPaebMmdqwYUPn8srKSqVSKUlSTU2N9u7d220bb731lsrKyrpdV1hYqAcffFBbt26N5g0AyGlbtmzRkiVL9PLLL2vSpEk6efJk0iEhINQwACF7/vnndeTIERUVFamtrU3Nzc2x7ZvOOwAAcsQTTzyhoqIiNTQ06JFHHtFzzz2nBQsW6Pz586qvr9fs2bM7t508ebKGDx9+XRunTp1ScXFx5wnS3r17VVJSopKSEk2aNEltbW2qqKhQfX19bO8LQO4oLCzUqlWr1NDQoI8//lilpaVat24dD7MANQxA8FKplMaOHStJ2rhxo0pLS7Vs2TK1trZGvm/ueQcAQJZNnTq1z21mzZqlJUuWdG5fU1OjmpoatbS0aM6cOd/a9sCBA322d+LECe3fv1/PPvusXn/9dS1cuFC7du1SUVGRPvroI505c0Zjxozps52GhgaVl5d3zi9cuFAHDx7UyJEjO5eNGzdOTU1NfbYFAD0pLy/X22+/rerqas2fP1/79u3TmjVrdNtttyUdWt6jhgFA3+bOnaujR4/qmWee0b59+1RfX6977703sv0x8g4AgBywbds2PfDAA5KkdevWadeuXWptbdUnn3yi0aNH9/uEuLGx8VsnPjNmzND48eO1ePHizmWpVEqFhYW6ePFidt8EgLwycuRINTY2auXKldq2bZtKS0u5D16eooYBGGyGDRumtWvXavv27frwww81YcIEHTt2LLL9MfIOAIAs688og562HzFixIBfL0nnzp27blRCXV2d5syZo5tuukmXL1/us42vvvpKn332mUaNGiVJOnLkiNxd58+fV0HBt/9l+PrrrzV06NABxwkAXQ0ZMkRLly7VlClT1NTUpBtvvDHpkPIeNQwA+q+iokITJ07U6tWrVVJSEtl+6LwDACAH3HfffWpsbOycP378uDZv3qzt27fr9ttv19WrV3X58uVeT1beeOMNTZs2rXP+tddeU3FxsQoKCuTuunjxom655RZ9+umnGjFihG644YZI3xOA/FFWVtbjQwaQ+6hhAAazUaNGadWqVZHug8tmAQDIAfPnz9fw4cM1Y8YM1dbWqq6uTjt27Oi8off06dN16NChzu2rqqp0//336/Tp0xo9erTWr19/3b2CqqqqtGbNGo0fP15lZWV67733JLWfIM2cOTPeNwgAyFnUMADonSXxZKfS0lKP8lpgAED6zOzX7l6adByhGqw1rLm5WatXr1ZdXV2P20yYMEFHjx7tczRCZWWlVq5cqeLi4myHCQCZsqQDCBk1jBoGIGg91jBG3gEA8pqZDTOzY2Y2K+lYojRhwgRNmzZNV69e7XGb5ubmPk96WltbVVFRwUkPACA21DAA+Y7OOwDAoGRmG8zsgpm9e83ycjM7bWbvm9myfjS1VNK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sepal length (cm)sepal width (cm)petal length (cm)petal width (cm)iris type
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" ], - "source": [ - "xt,xv,yt,yv = train_test_split(x,y,test_size=1/3,random_state=7)\n", - "print('training data (xt) shape: %s'%str(xt.shape))\n", - "print('training labels (yt) shape: %s'%str(yt.shape))\n", - "print('testing data (xv) shape: %s'%str(xv.shape))\n", - "print('testing labels (yv) shape: %s'%str(yv.shape))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "iOcaWLFdWnSb" - }, - "source": [ - "## Importance of Decision Tree Hyperparameters\n", - "\n", - "We would like to predict Iris species using a Decision Tree (DT) classifier. When initializing a DT, we arrive at the question of how to set hyperparameters such as tree depth or the minimum weight fraction for each leaf. These hyperparameters can greatly effect classification accuracy, so it is worthwhile to consider their importance to determining classification performance.\n", - "\n", - "Note that while this notebook uses decision trees and the Iris dataset, the methodology is directly applicable to other datasets and models.\n", - "\n", - "We begin this exploration by setting up a hyperparameter domain in which to uniformly sample DT hyperparameter configurations. A helper function and its tie into QMCPy are also created." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "id": "_5zq7et7WnSc" - }, - "outputs": [], - "source": [ - "hp_domain = [\n", - " {'name':'max_depth', 'bounds':[1,8]},\n", - " {'name':'min_weight_fraction_leaf', 'bounds':[0,.5]}]\n", - "hpnames = [param['name'] for param in hp_domain]\n", - "hp_lb = array([param['bounds'][0] for param in hp_domain])\n", - "hp_ub = array([param['bounds'][1] for param in hp_domain])\n", - "d = len(hp_domain)\n", - "def get_dt_accuracy(hparams):\n", - " accuracies = zeros(len(hparams))\n", - " for i,hparam in enumerate(hparams):\n", - " kwargs = {hp_domain[j]['name']:hparam[j] for j in range(d)}\n", - " kwargs['max_depth'] = int(kwargs['max_depth'])\n", - " dt = DecisionTreeClassifier(random_state=7,**kwargs).fit(xt,yt)\n", - " yhat = dt.predict(xv)\n", - " accuracies[i] = mean(yhat==yv)\n", - " return accuracies\n", - "cf = CustomFun(\n", - " true_measure = Uniform(DigitalNetB2(d,seed=7),lower_bound=hp_lb,upper_bound=hp_ub),\n", - " g = get_dt_accuracy,\n", - " parallel=False)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "hhZN1jHEWnSc" - }, - "source": [ - "### Average Accuracy\n", - "\n", - "Our first goal will be to find the average DT accuracy across the hyperparameter domain. To do so, we perform quasi-Monte Carlo numerical integration to approximate the mean testing accuracy." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "O8NieG8uWnSc" - }, - "outputs": [], - "source": [ - "avg_accuracy,data_avg_accuracy = CubQMCNetG(cf,abs_tol=1e-4).integrate()\n", - "data_avg_accuracy" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "UzUGPwzxWnSc" - }, - "source": [ - "Here we find the average accuracy to be 78.7% using $2^{14}$ samples." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "FIJAMH-GWnSc" - }, - "source": [ - "### Sensitivity Indices\n", - "\n", - "Next, we wish to quantify how important individual hyperparameters are to determining testing accuracy. To do this, we compute the sensitivity indices of our hyperparameters. In QMCPy we use the `SensitivityIndices` class to compute these sensitivity indices." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "lHv6U2Y6WnSd" - }, - "outputs": [], - "source": [ - "si = SensitivityIndices(cf)\n", - "solution_importance,data_importance = CubQMCNetG(si,abs_tol=2.5e-2).integrate()\n", - "data_importance" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "f4ENYO-oWnSd" - }, - "outputs": [], - "source": [ - "print('closed sensitivity indices: %s'%str(solution_importance[0].squeeze()))\n", - "print('total sensitivity indices: %s'%str(solution_importance[1].squeeze()))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "rG5v-lBNWnSd" - }, - "source": [ - "Looking closer at the output, we see that the second hyperparameter (`min_weight_fraction_leaf`) is more important than the first one (`max_depth`). The closed sensitivity indices measure how much that hyperparameter contributes to testing accuracy variance. The total sensitivity indices measure how much that hyperparameter, or any subset of hyperparameters containing that one contributes to testing accuracy variance. For example, the first closed sensitivity index approximates the variability attributable to {`max_depth`} while the first total sensitivity index approximates the variability attributable to both {`max_depth`} and {`max_depth`,`min_weight_fraction_leaf`}. " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "FxkD8CiIWnSd" - }, - "source": [ - "### Marginals\n", - "\n", - "We may also use QMCPy's support for vectorized quasi-Monte Carlo to compute marginal distributions. This is relatively straightforward to do for the Uniform true measure used here, but caution should be taken when adapting these techniques to distributions without independent marginals." + "text/plain": [ + " sepal length (cm) sepal width (cm) petal length (cm) petal width (cm) \\\n", + "0 5.1 3.5 1.4 0.2 \n", + "1 4.9 3.0 1.4 0.2 \n", + "2 4.7 3.2 1.3 0.2 \n", + "3 4.6 3.1 1.5 0.2 \n", + "4 5.0 3.6 1.4 0.2 \n", + "\n", + " iris type \n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 " ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "riKBS3IAWnSe" - }, - "outputs": [], - "source": [ - "def marginal(x,compute_flags,xpts,bools,not_bools):\n", - " n,_ = x.shape\n", - " x2 = zeros((n,d),dtype=float)\n", - " x2[:,bools] = x\n", - " y = zeros((n,len(xpts)),dtype=float)\n", - " for k,xpt in enumerate(xpts):\n", - " if not compute_flags[k]: continue\n", - " x2[:,not_bools] = xpt\n", - " y[:,k] = get_dt_accuracy(x2)\n", - " return y" - ] - }, + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x = data['data']\n", + "y = data['target']\n", + "feature_names = data['feature_names']\n", + "df = pd.DataFrame(hstack((x,y[:,None])),columns=feature_names+['iris type'])\n", + "print('df shape:',df.shape)\n", + "target_names = data['target_names']\n", + "iris_type_map = {i:target_names[i] for i in range(len(target_names))}\n", + "print('iris species map:',iris_type_map)\n", + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "tdq8DBL7WnSe" - }, - "outputs": [], - "source": [ - "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(8,4))\n", - "nticks = 32\n", - "xpts01 = linspace(0,1,nticks)\n", - "for i in range(2):\n", - " xpts = xpts01*(hp_ub[i]-hp_lb[i])+hp_lb[i]\n", - " bools = array([True if j not in [i] else False for j in range(d)])\n", - " def marginal_i(x,compute_flags): return marginal(x,compute_flags,xpts,bools,~bools)\n", - " cf = CustomFun(\n", - " true_measure = Uniform(DigitalNetB2(1,seed=7),lower_bound=hp_lb[bools],upper_bound=hp_ub[bools]),\n", - " g = marginal_i,\n", - " dimension_indv = len(xpts),\n", - " parallel=False)\n", - " sol,data = CubQMCNetG(cf,abs_tol=5e-2).integrate()\n", - " ax[i].plot(xpts,sol,'-o',color='m')\n", - " ax[i].fill_between(xpts,data.comb_bound_high,data.comb_bound_low,color='c',alpha=.5)\n", - " ax[i].set_xlabel(hpnames[i].replace('_',' '))\n", - " ax[i].set_ylabel('accuracy')" - ] - }, + "name": "stdout", + "output_type": "stream", + "text": [ + "training data (xt) shape: (100, 4)\n", + "training labels (yt) shape: (100,)\n", + "testing data (xv) shape: (50, 4)\n", + "testing labels (yv) shape: (50,)\n" + ] + } + ], + "source": [ + "xt,xv,yt,yv = train_test_split(x,y,test_size=1/3,random_state=7)\n", + "print('training data (xt) shape: %s'%str(xt.shape))\n", + "print('training labels (yt) shape: %s'%str(yt.shape))\n", + "print('testing data (xv) shape: %s'%str(xv.shape))\n", + "print('testing labels (yv) shape: %s'%str(yv.shape))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Importance of Decision Tree Hyperparameters\n", + "\n", + "We would like to predict Iris species using a Decision Tree (DT) classifier. When initializing a DT, we arrive at the question of how to set hyperparameters such as tree depth or the minimum weight fraction for each leaf. These hyperparameters can greatly effect classification accuracy, so it is worthwhile to consider their importance to determining classification performance.\n", + "\n", + "Note that while this notebook uses decision trees and the Iris dataset, the methodology is directly applicable to other datasets and models. \n", + "\n", + "We begin this exploration by setting up a hyperparameter domain in which to uniformly sample DT hyperparameter configurations. A helper function and its tie into QMCPy are also created." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "hp_domain = [\n", + " {'name':'max_depth', 'bounds':[1,8]},\n", + " {'name':'min_weight_fraction_leaf', 'bounds':[0,.5]}]\n", + "hpnames = [param['name'] for param in hp_domain]\n", + "hp_lb = array([param['bounds'][0] for param in hp_domain])\n", + "hp_ub = array([param['bounds'][1] for param in hp_domain])\n", + "d = len(hp_domain)\n", + "def get_dt_accuracy(hparams):\n", + " accuracies = zeros(len(hparams))\n", + " for i,hparam in enumerate(hparams):\n", + " kwargs = {hp_domain[j]['name']:hparam[j] for j in range(d)}\n", + " kwargs['max_depth'] = int(kwargs['max_depth'])\n", + " dt = DecisionTreeClassifier(random_state=7,**kwargs).fit(xt,yt)\n", + " yhat = dt.predict(xv)\n", + " accuracies[i] = mean(yhat==yv)\n", + " return accuracies\n", + "cf = CustomFun(\n", + " true_measure = Uniform(DigitalNetB2(d,seed=7),lower_bound=hp_lb,upper_bound=hp_ub),\n", + " g = get_dt_accuracy,\n", + " parallel=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Average Accuracy\n", + "\n", + "Our first goal will be to find the average DT accuracy across the hyperparameter domain. To do so, we perform quasi-Monte Carlo numerical integration to approximate the mean testing accuracy." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ { - "cell_type": "markdown", - "metadata": { - "id": "JeKOmYKzWnSe" - }, - "source": [ - "## Bayesian Optimization of Hyperparameters\n", - "\n", - "Having explored DT hyperparameter importance, we are now ready to construct our optimal DT. We already have quite a bit of data relating hyperparameter settings to testing accuracy, so we may simply select the best configuration and call this an optimal DT. However, if we are looking to squeeze out even more performance, we may choose to perform Bayesian Optimization which incorporates our past metadata. Sample code is provided below despite not finding an improved configuration for this problem." + "data": { + "text/plain": [ + "Data (Data)\n", + " solution 0.787\n", + " comb_bound_low 0.787\n", + " comb_bound_high 0.787\n", + " comb_bound_diff 1.63e-04\n", + " comb_flags 1\n", + " n_total 2^(14)\n", + " n 2^(14)\n", + " time_integrate 13.243\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 1.00e-04\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "CustomFun (AbstractIntegrand)\n", + "Uniform (AbstractTrueMeasure)\n", + " lower_bound [1 0]\n", + " upper_bound [8. 0.5]\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 2^(1)\n", + " replications 1\n", + " randomize LMS_DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order NATURAL\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 7" ] - }, + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "avg_accuracy,data_avg_accuracy = CubQMCNetG(cf,abs_tol=1e-4).integrate()\n", + "data_avg_accuracy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we find the average accuracy to be 78.7% using $2^{14}$ samples." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sensitivity Indices\n", + "\n", + "Next, we wish to quantify how important individual hyperparameters are to determining testing accuracy. To do this, we compute the sensitivity indices of our hyperparameters. In QMCPy we use the `SensitivityIndices` class to compute these sensitivity indices." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "HbvpvURnWnSf" - }, - "outputs": [], - "source": [ - "x0 = data_avg_accuracy.xfull*(hp_ub-hp_lb)+hp_lb\n", - "y0 = -data_avg_accuracy.yfull.squeeze()\n", - "print('best result before BO is %d%% accuracy'%(-100*y0.min()))\n", - "result = gp_minimize(\n", - " func = lambda hparams: get_dt_accuracy(atleast_2d(hparams)).squeeze().item(),\n", - " dimensions = [(l,u) for l,u in zip(hp_lb,hp_ub)],\n", - " n_calls = 32,\n", - " n_initial_points = 0,\n", - " x0 = x0[:128].tolist(),\n", - " y0 = y0[:128].tolist(),\n", - " random_state = 7)\n", - "xbo_best = result.x\n", - "ybo_best = -result.fun\n", - "print('best result from BO is %d%% accuracy'%(100*ybo_best))\n", - "xbo = array(result.x_iters)\n", - "ybo = -array(result.func_vals)" + "data": { + "text/plain": [ + "Data (Data)\n", + " solution [[0.159 0.748]\n", + " [0.253 0.837]]\n", + " comb_bound_low [[0.144 0.726]\n", + " [0.235 0.818]]\n", + " comb_bound_high [[0.174 0.769]\n", + " [0.272 0.855]]\n", + " comb_bound_diff [[0.03 0.042]\n", + " [0.037 0.037]]\n", + " comb_flags [[ True True]\n", + " [ True True]]\n", + " n_total 2^(13)\n", + " n [[[4096 8192]\n", + " [4096 8192]\n", + " [4096 8192]]\n", + " \n", + " [[2048 8192]\n", + " [2048 8192]\n", + " [2048 8192]]]\n", + " time_integrate 23.404\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.025\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "SensitivityIndices (AbstractIntegrand)\n", + " indices [[ True False]\n", + " [False True]]\n", + "Uniform (AbstractTrueMeasure)\n", + " lower_bound [1 0]\n", + " upper_bound [8. 0.5]\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 2^(1)\n", + " replications 1\n", + " randomize LMS_DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order NATURAL\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 7" ] - }, + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "si = SensitivityIndices(cf)\n", + "solution_importance,data_importance = CubQMCNetG(si,abs_tol=2.5e-2).integrate()\n", + "data_importance" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ { - "cell_type": "markdown", - "metadata": { - "id": "nSp41WVqWnSf" - }, - "source": [ - "## Best Decision Tree Analysis\n", - "\n", - "Below we print the configuration that rested in the best DT. We also print the optimal accuracy achieved (at this configuration) and visualize the branches of this tree." - ] - }, + "name": "stdout", + "output_type": "stream", + "text": [ + "closed sensitivity indices: [0.15864786 0.74759984]\n", + "total sensitivity indices: [0.25307821 0.83668445]\n" + ] + } + ], + "source": [ + "print('closed sensitivity indices: %s'%str(solution_importance[0].squeeze()))\n", + "print('total sensitivity indices: %s'%str(solution_importance[1].squeeze()))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looking closer at the output, we see that the second hyperparameter (`min_weight_fraction_leaf`) is more important than the first one (`max_depth`). The closed sensitivity indices measure how much that hyperparameter contributes to testing accuracy variance. The total sensitivity indices measure how much that hyperparameter, or any subset of hyperparameters containing that one contributes to testing accuracy variance. For example, the first closed sensitivity index approximates the variability attributable to {`max_depth`} while the first total sensitivity index approximates the variability attributable to both {`max_depth`} and {`max_depth`,`min_weight_fraction_leaf`}. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Marginals\n", + "\n", + "We may also use QMCPy's support for vectorized quasi-Monte Carlo to compute marginal distributions. This is relatively straightforward to do for the Uniform true measure used here, but caution should be taken when adapting these techniques to distributions without independent marginals." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "def marginal(x,compute_flags,xpts,bools,not_bools):\n", + " n,_ = x.shape\n", + " x2 = zeros((n,d),dtype=float)\n", + " x2[:,bools] = x\n", + " y = zeros((n,len(xpts)),dtype=float)\n", + " for k,xpt in enumerate(xpts):\n", + " if not compute_flags[k]: continue\n", + " x2[:,not_bools] = xpt\n", + " y[:,k] = get_dt_accuracy(x2)\n", + " return y.T" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "VrIa8imSWnSf" - }, - "outputs": [], - "source": [ - "best_kwargs = {name:val for name,val in zip(hpnames,xbo_best)}\n", - "best_kwargs['max_depth'] = int(best_kwargs['max_depth'])\n", - "print(best_kwargs)\n", - "dt = DecisionTreeClassifier(random_state=7,**best_kwargs).fit(xt,yt)\n", - "yhat = dt.predict(xv)\n", - "accuracy = mean(yhat==yv)\n", - "print('best decision tree accuracy: %.1f%%'%(100*accuracy))\n", - "fig = pyplot.figure(figsize=(10,15))\n", - "plot_tree(dt,feature_names=feature_names,class_names=target_names,filled=True);" + "data": { + "image/png": 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", + "text/plain": [ + "
" ] - }, + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(8,4))\n", + "nticks = 32\n", + "xpts01 = linspace(0,1,nticks)\n", + "for i in range(2):\n", + " xpts = xpts01*(hp_ub[i]-hp_lb[i])+hp_lb[i]\n", + " bools = array([True if j not in [i] else False for j in range(d)])\n", + " def marginal_i(x,compute_flags): return marginal(x,compute_flags,xpts,bools,~bools)\n", + " cf = CustomFun(\n", + " true_measure = Uniform(DigitalNetB2(1,seed=7),lower_bound=hp_lb[bools],upper_bound=hp_ub[bools]),\n", + " g = marginal_i,\n", + " dimension_indv = len(xpts),\n", + " parallel=False)\n", + " sol,data = CubQMCNetG(cf,abs_tol=5e-2).integrate()\n", + " ax[i].plot(xpts,sol,'-o',color='m')\n", + " ax[i].fill_between(xpts,data.comb_bound_high,data.comb_bound_low,color='c',alpha=.5)\n", + " ax[i].set_xlabel(hpnames[i].replace('_',' '))\n", + " ax[i].set_ylabel('accuracy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Bayesian Optimization of Hyperparameters\n", + "\n", + "Having explored DT hyperparameter importance, we are now ready to construct our optimal DT. We already have quite a bit of data relating hyperparameter settings to testing accuracy, so we may simply select the best configuration and call this an optimal DT. However, if we are looking to squeeze out even more performance, we may choose to perform Bayesian Optimization which incorporates our past metadata. Sample code is provided below despite not finding an improved configuration for this problem." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ { - "cell_type": "markdown", - "metadata": { - "id": "Z_oKFgVgWnSf" - }, - "source": [ - "### Feature Importance\n", - "\n", - "With the optimal DT in hand, we may now question how important the Irises features are in determining the class/species. To answer this question, we again perform sensitivity analysis, but this time we select a uniform measure over the domain of Iris features. Our output which we wish to quantify the variance of is now a length 3 vector of class probabilities. How variable is each species classification as a function of each Iris feature?" - ] - }, + "name": "stdout", + "output_type": "stream", + "text": [ + "best result before BO is 94% accuracy\n", + "best result from BO is 94% accuracy\n" + ] + } + ], + "source": [ + "x0 = data_avg_accuracy.xfull*(hp_ub-hp_lb)+hp_lb\n", + "y0 = -data_avg_accuracy.yfull.squeeze()\n", + "print('best result before BO is %d%% accuracy'%(-100*y0.min()))\n", + "result = gp_minimize(\n", + " func = lambda hparams: get_dt_accuracy(atleast_2d(hparams)).squeeze().item(),\n", + " dimensions = [(l,u) for l,u in zip(hp_lb,hp_ub)],\n", + " n_calls = 32,\n", + " n_initial_points = 0,\n", + " x0 = x0[:128].tolist(),\n", + " y0 = y0[:128].tolist(),\n", + " random_state = 7)\n", + "xbo_best = result.x\n", + "ybo_best = -result.fun\n", + "print('best result from BO is %d%% accuracy'%(100*ybo_best))\n", + "xbo = array(result.x_iters)\n", + "ybo = -array(result.func_vals)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Best Decision Tree Analysis\n", + "\n", + "Below we print the configuration that rested in the best DT. We also print the optimal accuracy achieved (at this configuration) and visualize the branches of this tree. " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": false, - "id": "bpGVfa8rWnSg" - }, - "outputs": [], - "source": [ - "xfeatures = df.to_numpy()\n", - "xfeatures_low = xfeatures[:,:-1].min(0)\n", - "xfeatures_high = xfeatures[:,:-1].max(0)\n", - "d_features = len(xfeatures_low)\n", - "def dt_pp(t,compute_flags): return dt.predict_proba(t)\n", - "cf = CustomFun(\n", - " true_measure = Uniform(DigitalNetB2(d_features,seed=7),\n", - " lower_bound = xfeatures_low,\n", - " upper_bound = xfeatures_high),\n", - " g = dt_pp,\n", - " dimension_indv = 3,\n", - " parallel = False)\n", - "indices = [[0],[1],[2],[3],[0,1],[0,2],[0,3],[1,2],[1,3],[2,3],[1,2,3],[0,2,3],[0,1,2]]\n", - "si_cf = SobolIndices(cf,indices)\n", - "solution,data = CubQMCNetG(si_cf,abs_tol=1e-3,n_init=2**10).integrate()\n", - "data" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "{'max_depth': 6, 'min_weight_fraction_leaf': 0.007127984848298143}\n", + "best decision tree accuracy: 94.0%\n" + ] }, { - "cell_type": "markdown", - "metadata": { - "id": "zZFa9hZ1WnSg" - }, - "source": [ - "While the solution looks unwieldy, it has quite a natural interpretation. The first axis determines whether we are looking at a closed (index 0) or total (index 1) sensitivity index as before. The second axis indexes the subset of features we are testing. The third and final axis is length 3 for the 3 class probabilities we are interested in. For example, `solution[0,2,2]` looks at the closed sensitivity index of our index 2 feature (petal length) for our index 2 probability (virginica) AKA how important is petal length alone to determining if an Iris is virginica.\n", - "\n", - "The results indicate that setosa Irises can be completely determined based on petal length while the versicolor and virginica Irises can be completely determined by looking at both petal length and petal width. Interestingly sepal length and sepal width do not contribute significantly to determining species.\n", - "\n", - "These insights are not surprising or especially insightful for a decision tree where the tree structure indicates importance and the scores may even be computed directly. However, for more complicated models and datasets, this analysis pipeline may provide advanced insight into both hyperparameter tuning and feature importance." + "data": { + "image/png": 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Sf/3GTSDquSL/xSlVKiwsLCIdD/vU29nZOcp69m/Ko7uHsDifvok7pjw9D+Pn5weErurUrUvH8N6RT11QUBANmzRn0+Yt5MyRnQ1rVsa69+Dn9h15/PgJi+bNwdbW1ihxJUqUiA7tfqZT1x5s2LhZiYaIyDso0ZAvUnBwCABlSpUMT0SiE5sX5Vu3bvN905b4+fnRq3tXGtSvR4b06bCzs8Pc3Jyp02fyc7uOGAyGD4r/vwQHBwNQwD0/rrly/ue5uXJFfvE0N4/ZZmb/Ft0maFH1GMWWMdoIkzhxYgCeP38RZXlMN3P7t3fF+L7PNSzOJG/ijqnhQwcza/Zclq1YiceceXjMmUfePLmpX68O9evVJWPGDDFq59z584wcPTaWUUPNGtWpVeObWNcLDg6mcfMfWLFyNVkyZ2bz+jWkTJki1u2sWr0WGxsbfhs2gt+GjYhQduzESQAGDRnKxElTKFG8GENi2OuRPVtoAnr7zp13nCkiIko05LNx7fqNKMdwX79+AwDnt8fOu4R+uly3Tm2jzpVYu2Ejfn5+fFu7JkOHDIxUfvnKFaNdKzppXUJ7FsqWKcWo4UPj9FrJkiUlQYIEBAQEcPPmrShfXq9dvx6nMcRWihShw4YeRbNUb7q0Lpy/cJHzFy7i4hJ1L8TH9OhRaJwpU8Z8uBOEzgkqUrgQ4/4cw4ZNm1mwaAlr123g1/6D+LX/IIoULkj9enWpV+fbCPNK/u3evQfMmbcg1nFnSJ8+1olGcHAwTZq3Yuk/y8mYIQNbN679z9jexc/Pj1179kZbfubsOQASJU4U4zbDfm/ensMkIiJR0z4a8tlYsGhxpGPBwcEsXroMgDKl/7/D79eVKwLwz7IVsbpGggQJAAgKCo6y/Mmbl5Cwl/23vX79muUrVsfqeu8j7N5WrV5HUFBQnF7LysqKYkUKA7BoydJI5YGBgdHec4IEoUvkxnWM/+aeLx8AZ9+8ZP5bpTdL7b7PHh1x4ey50Djzv4k7tqysrKhRvRqL5s3m7o3LzJo+hUoVv+KI11G6dO9F+iw5KF+xClOmzcQnimGCZcuUItj/Ray/BvTrE6s4Q0JCaNbyJxYv/Yf06dKxbdO6aIfjxcR/xVbmzaT7xQvmEuz/ghVLF8W43aXLQjcNLFjA/b1jExH5UijRkM/GpCnT2btvf/j3BoOBgYOHcvnKFZyd00TYnK1WjW8o4J6fXXv28nO7jlFuRHfv3n2mzZgV4ZhzmjRA6HCSqIRNmF6+YhX37z8IPx4QEECHzt3C54bEJff8+ahZozqXLl+m/vdNuXUr8opPT548Ycq0mUZ5yW/7SxsAxvw5jmPHT4QfDwkJod/Awdy4eTPKemHP8tKVKx812ShbpjQABz0PRVneuUM77O3tWbz0H0aM+j18KFqYmzdv4eV9NM7jDHPgTZxhcX8IBwcHmjZuxIY1K7h19SJ/jR1NoYLu7Nqzl1/ad8Q5Q9YPvsb7CAkJoeWPbVi4eAnp0qZl26Z17xzSGKZZy5/IldedCZOMM2F956497Nq9N9LwxlevXtGzT19WrV6LpaUl7d783ouISPQ0dEo+G61aNqdcxSqULlkCJycnjh47xvkLF7GxsWHurBkRVmAyNzdn+ZKFVK9Vh6nTZ7Jw8VLc8uTGxcUF/9f+XLx4iTNnz5EyZQp+/KFFeL2iRQrh5JQK76PHKFy8NLly5sDKyorixYrSolkTalSvRv58bhw9dpzsufNRpnRJrK2t2X/gIM+ePad9258ZN2FSnD8Lj+lTqFWnPitXrWHjpi245c1N+vTpCQoK4urVa5w4eYrg4GCaNWmEpeWH/RmoU7smLZo1YdbsuRQpUYYypUuRInlyvLy9uXnrNm1+asXkqdPDe4PCpE+fLvxZ5StYFPf8+UmYMAHZs2WlW5dOHxTTfylRvCjJkyfjgOchXr58GWmScfr06Vg0fzYNvm/Gr/0HMXHKNAoXKoiZmRnXrl3n2PET9O3dkwLu+eMsxjBBQUHs2r0HW1tbvopiRasPkTJlCtr90oZ2v7Th8uUrLFwcuoGfKUyYNIW58xcCkCljBgYPHR7leSWKF6NVy+YRjt28eZPzFy5GubDB+zh+4gRduvcidWon8ubJQ9IkSXjw4AHHTpzg0aPHJEyYkGmTJ7xz/pOIiCjRkM/ImFHDyZolM1Onz8Tz8BGsra2pWaM6g/r3jbSEK4CLizMH9+5kpscclv6znJOnz+B5+AjJkiXFOU0aunRqH2mMecKECVm/egV9BwzioOchjh47TkhISPg6/5aWluzYsoGhI0axavVatmzdTpIkiSlTqhQD+vXmwMGoP0U3NkdHR7ZsXMuCRUuYv3AxR48dw8v7GEmSJCZN6tT81KolNapXi7Cnw4eYOmk8BQsWYOq0Gezdtx87O1tKFC/G4gVzWbtuAwDJkyWLVO+fRfPp1bc/u/fsZdGSpQQHB1OmVMk4TTQSJEjAD82bMfL3sfyzfCXNmnwf6ZwqlStx7PABxv41js1btrF+wyYSJkyIi3Ma2vzUinp1v42z+N62cfMWHjx4yA8tmoVPYo8LmTNnom+fnvTt0zPOrvFf3l6hbefuPf957r8TDWMrXaokrX/8AS/voxw7fpzHj59gZWVFhvTpaPBdPdr90ppsWU3T8yMiEt+YGeJy+RuR9+Dt7U2BAgU4fGBPhA3gomNhHbr8Z7B/1KsIiWlVqvIN23bsZMnCeRGGr5nSjRs3yZ47H0UKFWTntk2mDidadeo3YtXqtXgf2k/ePLlNHY68B++jxyhUrBReXl64u2teh4h8WTRHQ0Q+2OkzZ3n16lWEY4GBgQwdPoptO3aSIkVyqn5dyUTRRZYuXVrat23Dnn372bFzt6nDidKJk6dYtXotTRs3UpIhIiLxkoZOicgHGzFqDCtXr8E9nxtpnNPw9OkzTp0+zZ07d0mYMCEzp02OcpdyU+rbuyfzFiyi74CB7Nu13dThRNJ/0BDs7OwYOnigqUMRERF5L0o0ROSDNahfF9+Xvhw9ehzvY8cJCgoitZMTTb5vSNfOHaOcI2Nqjo6O3Ll+2dRhRGvlP5GXaxYREYlPlGhIvKe5GaZXrcrXVKvytanDEBERkU+I5miIiIiIiIjRKdEQERERERGjU6IhIjGWKZsrFtYOXLt23SjttWjVGgtrBzzmzDNKe3FhwaIllClfiSQpnXFM5kTh4qWZOHkqISEh791mcHAwk6fNoGyFyqRIkw7bRMlJnzkHNb6tx5p166Ot5+fnx+gxf1CkRBmSpnLBPklKMmfPzXeNmrBv/4Fo6z158oT+A4eQr2BREiVPjWMyJ7K75qNpix85c/bce9+HiIjIf9EcDRGRaLTr2IVJU6ZhbW1N+XJlsLKyYvuOXbTv1JVtO3aydOE8zM1j93nNo0ePqFazDoePeJE0aRKKFimMnZ0dt27dYtv2naRKmZJvqlWNVO/q1Wt8Xb0Wly5fJnVqJ8qWKYWlpSU3btxk1eq1uOXJQ4nixSLV8/I+SvVadXjw4CEZM2SgUsUKhISEcPXqNRYsWkylihXIlTPHez8jERGR6CjREJEY27JhDYFBgTg7pzFKe8OGDKJn9y6kdnIySnvGtGzFKiZNmYaTUyp2bt1I1ixZALh//wEVKldl5ao1jJ84mQ7tfolxmyEhIdSqU5/DR7zo0O4Xhv82KMLu7C9evODa9RuR6r18+ZLK1Wpy5epVhv82iK6dO2JhYRFe/ujRIx49fhyp3p07d/m6ek18fV8ya/oUmjZuFKH89u07BAcHxzh+ERGR2NDQKRGJscyZM5Eje3asrKyM0l7q1E7kyJ6dRIkSGaU9Yxo5egwAw38bHJ5kAKRKlZIJf/8Zes7vY2M1hGraDA/2H/SkWtWv+eP3kRGSDAAHB4colwIeOnwUl69c4Zc2P9GjW5cISQZAsmTJyJY1a6R63Xr24fHjJwwdPCBSkgHg7JyGdOnSxjh+ERGR2FCiIfKFOnb8BLXq1id56nQ4JE1FoWKlmOkxBwALawcsrB0i1Ylujkb5ilWwsHZg5649eHkfpWad78LnHuQvVIwZs2ZHGcOnOkfj1q3beHkfJUGCBNSrUztSeZnSJXF2TsO9e/c56Hkoxu1OnDwFgM4d2se4TkBAANNnebyp1y7G9e7du8+yFSuxtbWl9Y8/xLieiIiIsWjolMgXaPuOXXxTuy7+/v7kyJ4Nt7x5uX//Pm3aduDc+fPv3e6mLVv446/xZM+WlYoVKnDz5k32H/Tkp5/b8ezZM7p06mDEu4g7R48fB8A1V85odzQvWMCd27fvcOz4CYoXK/rONu/evcep02ewsLCgWNHCXLh4kSVLl3Pr9m2SJklC6dIlqVzxK8zMzCLU8/I+yqNHj3F2TkPGjBnwPnqMlavW8ODhQ1KlTEnFr8pTskTxSNfbsWs3QUFBFClUEDs7O3bt3suGTZt4+vQZaV1cqF6tCm5587zH0xEREYkZJRoiX5hXr17RtGUr/P396denFwP69Ql/ud1/4CBVvon8CX5Mjfr9D6ZNnkDL5k3Dj81bsIhmLX9kyLCRtPmpFba2th8U/7Vr18mcI3es6zVt3IhZ06fE+BrAfw4rSpc2tOzqtWsxavPkqdMAJEuWlMlTp9OzTz+CgoLCy0f+PpbiRYuwbMlCUqZMEamec5o0dO/Vh7F/jovQ7m/DR1KzRnXmzpqOnZ1d+PFTb+qlTJWShk2as2Tpsgj1+g8awk+tWjL+r7GRhmKJiIgYgxINkS/MP8tXcvfuPbJlzUL/vr0jfIJevFhRfm7ditFj/nyvtr+tXTNCkgHQuFEDRoz6nbPnznPEy5vSpUp+SPjY29tFOd/gXaJakSk6vr6+ANjZ2kV7jv2bl/oXL3xj1ObjJ09C//fxE7r26E2D7+rRt08PXJydOeJ1lPadurD/oCf1GzVhx9aN4fWevKl39NhxDh0+Qsf2bWnb5ieSJUvK7r37aNexC6tWr6Vth854zJga6Xpr123AYDAwdPAAvm/YABsba9Zv3Eznbj2ZOn0mqVKmZGD/X2P8bERERGJKiYbIF2b3nr0AfFe3TpRLszas/917JxrVqnwd5fHs2bNx9tx57ty9917tvi158uQx7pn4lIRNGg8KCqJk8WLMnzMzvKxc2dJsXLuKHHnys3vvPnbs3E25sqUj1AsMDOT7hg0YO3pEeL0a1auRJnVqipYsy7wFi+jXpxeZM2eKVO/XXj3o1aNbeL2mjRthZ2fHdw0bM/avcXTr0hF7e/u4fQAiIvLF0WRwkS/M7Tt3geiHBaX/gFWIwoYT/ZujQ+jEcn9///du+2MKe+l++epltOf4vgwtc3CI2Qv62+f90LJ5pHIXF2eqVqkMwM5du9+q9/9J+a1aNotUr2ABdwq458dgMLDrTRL57+u1iuJ6dWrXJHnyZLx8+ZJDh71idA8iIiKxoR4NkS/Uvycdh4ntBnTGqhtTPj4+dO8V+6E+JYoXi/KFOyrp06cD4MaNm9Gec/PWLQAypE8fozYzZsjw1r+jrhN2/N79++HHMrx17tttvC1DhvQc8fLm/lv1ws61tLQkbVqXaGPy8XkU4XoiIiLGokRD5AuTJnXo5njRvURHtWHcp8TX9yVz5i14r7oxTTTyu7kBcPrMWfz8/KJceerIEW8A8rnljVGb2bNlxc7OjpcvX0a5uR6Aj88jIHQeyr9jAXj0+HGUScOj8Hr/78XIny+0XlBQEM+ePSNx4sQxup6IiIixaOiUyBemVMkSACxdtjzKzeYWLV76sUOKlQwZ0hPs/yLWX7GZ15E2rQvu+fMREBDA0mUrIpXv2r2XW7dv4+SUimJFi8SoTSsrK6pVDZ3Dsn3HrkjlgYGB7Nm7H4AC7u7hx52d01CkcME39XZGqvfkyRO8jx1/Uy9/+PGiRQqT+k1SuS2K6126fJnrN0KTyoJvXU9ERMRYlGiIfGHq1alNqlQpOXf+AsNGjMZgMISXeR46zMQp00wY3aejZ/euAPTu259Lly+HH3/w4CHtOnYOPadbl0jDxSZMmkKuvO40a/lTpDZ7de+Kubk502bMYtOWreHHg4OD6fVrPy5fuYKzcxpq1/wmQr3ePbsDMHzU7xzx8g4/7u/vzy8dOvPs2TMKuOePkPSYm5vT68099OrTL8I9PHnyhNY/tyckJITatWqQJk3q2D0cERGRGNDQKZEvjJ2dHbNnTKNmne8YMPg3Fi1ZGr5h3+69+2jftg1//j0BKysrU4dqUnW/rUWbn1oxeep03AoUpUL5slhZWbF9xy6eP39OzRrVaftz60j1fHwecf7CRZxSpYpU5pY3D3/8PpJOXXtQrca3FC5UAGdnZ44dO8GVq1dJlCgRi+fPiTRU65tqVenSqT1j/xxHybJfUbRwIZImS8rhI17cuXMXZ+c0zJ8zM9K8m1/a/MTe/QdY+s9y8hcqTrEihbG2seag5yEePXpMrpw5mDz+L+M+OBERkTfUoyHyBar4VXn27txK9WpVuHvvPqvWrOXJ06eM/2ssndq3AyB58mQmjtL0Jvz9B3M9ZuCez43de/axecs2smTOxLg/x/DPovnvtdFdu1/asHXjOqp8XYlLl6+wZu16goKC+PGHFnh77ot2KNboEcNYumgeJYsX4+TpM2zYuBlbG1s6d2yH18G9ZM2SJVIdc3NzFs71YOqk8eTN48qhI15s276T1E5ODOjbhwN7dpA8efJY34OIiEhMmBneHjch8gnw9vamQIECHD6wB/f8+Uwdzhdn7vyFNP/hJ6pV/ZrVyz/t+Roinzrvo8coVKwUXl5euGsujIh8YdSjIfIFevDgIdejWF3qoOchevbpC0CzJo0/dlgiIiLyGdEcDZEv0ImTp6hcrQa5XXORIUN6EiRIwNWr1zj6ZvWixo0aUqd2TRNHKSIiIvGZEg2RL1CO7Nlo81Mrdu/Zy779B3nx4gWOjg6UL1uGpk2+p3GjBqYOUUREROI5JRoiXyAXF2cm/P2HqcMQERGRz5jmaIiIiIiIiNEp0RAREREREaNToiEiIiIiIkanRENE4oVBQ4ZhYe3AoCHDTB2KSdy8eYtJU6fTqvUv5CtYlAR2ibGwdmDMHzHb2Xvj5i1UrlaT5KnTYZ8kJXndCzNsxGhev379n/U8Dx3m2+8a4pQ2I7aJkpPdNR89+/Tl2bNnxrgtERH5jGkyuIhIPLB85Sq6dO/1XnVHj/mDXr/2x8LCgrKlS5E4SWJ279lLv4GDWbdhA1s2rMXW1jZSvYWLl9Ks5Y8EBwdTolhR0jinwdPzML+P/YuVq9ayZ8cWUqZM8aG3JiIinyn1aIiIxAMZMqSnQ7tf8JgxlVPHDtO4UcMY1Tvi5U3vvgOwtbVlz44tbN6whiUL5nLp7ElKlyzBQc/D9B0wOFK9W7du82ObthgMBpYvXcjuHVtYNG82F8+e4Lt6dbh0+TJt2nUw9m2KiMhnRImGiEg8UPOb6vzx+0iafN+QnDlyYG5uFqN6I38fi8FgoEfXzhQpXCj8uL29PTOmTsLc3JxJU6bx9OnTCPX+Gj8BPz8/mjZuRM1vqocft7S0ZMqEv3F0dGTV6rWcOXvOKPcnIiKfHyUaIvHU+QsXaP7DT2TMmgtrh6QkSp6aTNlc+fa7hixbsSrCuS9evGDq9JnUrteAbLncsE+SEsdkThQoUoJhI0bj5+cX5TUsrB2wsHYAwGPOPAoXL41D0lSkSZ+ZVq1/4eHDhwD4+/szcPBQcuTOh22i5GTIkpO+/QcRGBgYqc0WrVpjYe2Ax5x5HDt+gtr1GpDSOT12iVNQqFgpZs2e+17P4+y5c7Rq/QuZs+fGNlFykjmlpVKVb1i9dl2U59+5c5f2nbqSLZcbtomSY58kJRmy5KTKN7WZOn3me8XwqQkICGDjpi0ANGrwXaTyTJkyUqxIYQICAli/cXOEslWr172pVz9SPUdHR6pXrfLmvDXGDltERD4TSjRE4qGTp05TpERZ5s5fiK2tDdWrVaFSxQqkTp2KzVu2MX2mR4Tzj584yc/tOnLQ8xBpUjvxTfWqFC1SmMtXrtJv4GDKV6qKv79/tNfr9Ws/fm7XkSRJklC50leYmZkxa/ZcKlWtga+vLxW/rs74SVPIlSsn5cqW4dHjxwwf9TvtOnaJts1Dh49QokwFTp8+y1fly1O8aBGOnzhJq9a/0LFL91g9j0VL/sG9cAlmzZ6LnZ0t1ap+Td7cruzZt5/adRswYNBvEc6/e/cehYqXYuLkqQQFBVG50ldUr1aFdGld8Dx0mD//Hh+r63+qzl+4yKtXr0iaNAmZM2eK8pyCBQsAcOz48fBjz58/5/KVKwAUKugeZb2w40ePnzBmyCIi8hnRZHCReOjPv8fz4sULhg4eQK8e3SKU+fr6cvLU6QjHMqRPz5YNaylbphTm5v//fOHp06c0atqSTZu38Pf4ifToFnViMGfeArwP7SNnjhwAPHnyhBJlKnDi5ClKlKlA4kSJuHzuJIkSJQLg2PETFClRhhmzZtOnZ3fSp08Xqc0p02bQvu3PjBk1HAsLCyB0haPK1WoyfuJkKlf6iqpfV37nszhx8hQtWrUmQYIELF+6kCqVK4WXnT5zlmo1vuW34SMpW6Y05cqWBmD6TA/u3bvPT61aMnHcn5iZ/X8Y0uvXr/E8dPid131bWK9PbJQpVZLtWzbEul5sXL12DYB0adNGe066tC5vzr0efuza9RsAJE6cGEdHxyjrpX1T79pb9URERN6mREMkHrr/4AEAX7/1Uh3G3t6eYkWLRDjm4uKMi4tzpHMTJ07MX2NHkSN3fpatWBVtojGw36/hSQZAkiRJaP3jD3Tp3oszZ89xwtszPMkAyOeWlypfV2LN2vXs2rOXpukbRWrT2TkNI4cNCU8yAIoULkSn9m0ZMmwEf/49IUaJxrCRowkICGDs7yMjJBkArrly8vuo4dRv1IQJk6eEJxphzy+sd+ZtCRMmpHSpku+87tuaNo58f++SI3u2WNeJLV/flwDYRbGiVBg7OzsAXrzwfaue75uy6OvZ29m/qffig+MUEZHPkxINkXiocMGCbNi4mV/ad2RQ/36ULlWChAkT/mcdg8HAvv0H2LN3H7du38HPzw+DwYDBYADgwsVL0db9ulLFSMfChuKkT5cuQhISJmuWzADcvXs3yjbr1K4VZcyNv2/AkGEj2Lf/AEFBQVhaRv9nKiQkhE2bt2JmZkbd2jWjPKdMqRIAHPQ8FH6sUMECTJoyjd6/9gegYoXy4S/c72PW9CnvXVdERORzpURDJB7q1qUje/ftZ9uOnXxdvSYJEyYkn1seSpcqyfcNG5Ant2uE8+/ff0Dd+o3Yf9Az2jafP38ebVlUvSFhn2i7OKeJsk5Yub9/1BvCZcyQPsrj6dKmxdzcHH9/fx49ekyqVCmjjevRo0fhcTuljXoOQpiHD33C/93k+4Zs2bqdhYuXUOe7RlhYWJDbNRelSpagfr06FC9W9D/bii/s7UOTp5evXkV7zsuXob0eDg72b9Wzf1MWfT3fl75v6sV+2JiIiHwZlGiIxEO2trZs3rAGz0OH2bR5K/sOHOSg5yE8Dx1h9Jg/GdjvV/r9+v/N3X78uS37D3pSolhR+vftg1ve3CROnBgrKysCAgKwcUz2n9d7e15HbMriWnBwCAAWFhZ83zDy6kjRMTc3Z97sGfTq0ZV16zew78BB9h/wZPzEyYyfOJkWzZowfcrEGLfXolXrWMeeI3s2enbvGut6sZEhfWgyd+PmzWjPuXnr1ptz/z+PJn260DkdT58+5fnz51HO07h163bouVHMvxEREQElGiLxWpHChcL3RggICGDBoiW0/qU9g34bxnf1viV7tmy8fPmSDRs3Y2FhweoVS0mcOHGENi5dvmKCyP8/4fjfbty8SUhICNbW1iRLlvQ/20iePBk2Njb4+fkx7s8x4Z/Ex1Ru11zkds0FhA7DWr9xE42b/cCs2XP5rm4dKlWsEKN25sxbEKvrQuhk8LhONHJkz4aNjQ2PHz/h8uUrUa48dfiwFwD53NzCjyVKlIjMmTJx+coVDh/xpkL5spHqHXpTL/9b9URERN6m5W1FPhMJEiSgedPGFC1cCIPBwImToStPPXv2nJCQEBwcHCIlGQALFi7+yJGGWrZ8JQEBAZGOL1i4BIASxYr+5/wMCN08Luwl+J/lKz8oHnNzc6pXrUKN6tUAOHHyZIzrBvu/iPVXXK84BaG/E19XDp1fs2DRkkjlV65c5YDnIRIkSEC1KhEn3tf4puqbepF/P54/f87a9aHx16r5jbHDFhGRz4QSDZF4aNKUaZy/cCHS8StXrnL6zU7NYcNfUqVKSZIkSXj69Gmkl82Nm7fwh4n2jLh1+za9+/YnJCQk/NjhI17h8bRv93OM2unXpxdWVlZ07taTRUv+CZ/cHsZgMHDo8BE2b9kWfmzOvAV4Hz0Wqa1Hjx6FTxpPl+7zGBLUs1sXzMzMGDXmDw4dPhJ+3NfXl1atfyEkJISfW/8YKQnt2K4tNjY2zJm3IMKmh0FBQbRp25Hnz59Ts0Z1cuWMvBCAiIgIaOiUSLw0bcYs2nXsQqaMGXF1zYm9nT33799n7/4DBAQEUL9eXQoXKgiEzl/o07Mb3Xv9SpPmPzBx8hTSp0vPlatXOXT4CL17dGP4qN8/+j20/vEHJk2Zztp1Gyngnh8fHx927dlLUFAQP7f+kW+qVY1ROwULuOMxYyqtWv/C901b0KfvAHLmzEHSJEl46OPD8RMnePDgIT26dQ4fCrVi1WpatGqNs3Ma3PLmIXGixDx6/Ji9+/bz8uVLSpUoTu1P7JP6u3fvUad+w/DvL1+5CsD4iVNYtmJl+PFlixeSOrVT+PeFChZg+G+D6PVrf0qW/YpyZcuQOHEidu/Zy4MHDylSuCC/Deof6Xpp07owbfIEmrX8kW/rNaRk8WKkTpMaT8/DXL9xgyyZMzN5/N9xd8MiIhLvKdEQiYcGD+zHuvUbOXT4CAcOevL8+QtSpUxJ6VIladWyOXX+tdRrl04dSJ8+PWP//IvTZ85x6vRZcrvmZM6s6XzfsL5JEo3ChQrSqmVzBg4Zyuat2/Dz8yNPblfa/NSKH1o0i1VbDb6rS6EC7oybOJmt27aze89eAJxSpcItb16qValMndq1ws/v0rE9GdKn58BBT7y8j/LkyVOSJ0+Gez43mjb5nu8b1sfKysqYt/vBQjcSPBLp+I2bNyNM9n79OvIqX927diZPntyM/XMcR7y88ff3J1PGDLT/5We6du4Q7dLIDevXI1PGDIwYPYb9Bw7iefgIaV1c6NalI316do+wd4qIiMi/mRn+Pc5AxMS8vb0pUKAAhw/swT1/PlOHI0bWolVr5sxbwIypk2jetLGpwxGJU95Hj1GoWCm8vLxwd3c3dTgiIh+V5miIiIiIiIjRKdEQERERERGjU6IhIiIiIiJGp8ngIvJRzZo+hVnTp5g6DBEREYlj6tEQERERERGjU6IhIiIiIiJGp0RDJJ7xmDMPC2sHWrRqbepQTCrsObz9dcTLO8I5+w8c5Jf2nShWqhwuGbNi45gMx2RO5CtYlN59+/Pw4cN3XmfRkn/4unotnNJmxMYxGS4Zs1Kpag085swz2r3MX7iYpi1+xK1AEVK5ZCChfRKSOaWldLmKTJg0hcDAwEh1AgMD2bZ9J9169qZw8dIkTpEGa4ekpM2UjXoNG7Nz1x6jxRdm/MTJ1P++Ka5uBUiRJh0J7ZOQyiUDlap8w7wFiyLtyg7w6tUr1qxbT9sOnXErUATHZE7YOCYjUzZXmrX8iaPHjkd7vaSpXCL8fL/033kRkfhGczREJF7LnCkTJYoXBSB5smQRyjZs3MyUaTPIkD49uXLkIHny5Dx+8oQjXt6M+v0PPObMY/vm9eTMkSNSu/7+/tRr2Jj1GzZhZ2dH8WJFSZokCXfu3OHwES8wGIy2D8iUqdM54HmIXDlzULBAARI5OnL37l0OeB5i34GDLFi0mM3r12BnZxdeZ9fuvVSuVgMAJ6dUlCpZHDs7O86ePcfyFatYvmIVfXv3ZNCAvkaJEWDUmD948OAhuV1zUaxoEezs7Lhx4wbbd+5i246dLFuxkmWLF2Bu/v/PsBYsWkLrX9oDkD5dOiqUL4ulpSUnTpxi3oKFLFy8hAl//8GPP7SIdL2G9evx6tUrLl++wr4DB412HyIi8nEo0RCReK1E8aLRTi7/vlF9fvyhBenSpY1w/OXLl7Rq05YlS5fxS7tO7Ni6MVLdFj+2Yf2GTXxXrw6Txv1J4sSJw8tev37N6TNnjXYPv48aTrasWSJcA+DWrdtUrlaDg56HGT3mTwb2/zW8zNzcnG9r16RD258pVbJEhHqLly6jSfMf+G34SMqWKU25sqWNEueCObPIn88tQsIDcPrMWSpWqc7qNeuYPXc+LZo1CS+zsrKiRbMmtP25NfnzuYUfNxgM/Pn3eLr17EP7Tl0pU7ok2bJmjdDuhL//AEJ7r5RoiIjEPxo6JSKfrRzZs0dKMgDs7OwYNew3APbs28/r168jlG/aspUlS5fhljcP8zxmREoAEiZMaNRd6wsXKhjpGgAuLs706tENgK3bt0coK1+uDEsXzouUZADUr1eHZk2+B2D+wkVGi7NkieKRkgwA11w5+aX1T6FxbtsRoaxZk++ZPmVihCQDwMzMjM4d21OhXFkCAwNZsnS50eIUEZFPgxINkQ907vx5LKwdcEqbMcqx9ABBQUE4Z8iChbUDp06fCT/ueegwPXr/SuHipUmdLhPWDklxyZiVeg0bc9DzUKzieNfcjZ279mBh7UD5ilWiLL958xaduvYgZ5782CVOQeIUaShV9is85syLcux9fGdpaRn+vxYWFhHKJkwK7SFp3/bnSGUfW1icCRMkjFW9sBf7W7fvGD2mqFhahj6nhAkTxKpevnx5Abh1+7bRYxIREdNSoiHygXJkz06RwgV5+NCH9Rs3RXnOpi1buXfvPgXc85PbNVf48X4DBvPn3xMIDAykUMECfFO9KsmSJmX5ilWULl+JpctWfJR72LFzN24FizJuwiRCQgxUrvQVhQsV5MSp0/zw0880/+HzmoQbEBBA/0FDAPi6csXwl3mA4OBgduzcDUCpksW5des2v4/9k5/bdaR7rz4sW7GKoKCgjxKnj48PY/74C4BvqleNVd2Lly4DkNopldHj+rerV68xZdpM4EPidDJ6XCIiYlqaoyFiBM2aNMHz0BHmzFtAzW+qRyqfM2/Bm/O+j3C8S+cOzPWYQapUKSMcX7NuPfUaNOaX9h2pVqUytra2cRb73bv3qNewMb6+vsycNpmmjRthZmYGhPZy1Kpbn3kLFlKubOkYT372mDOPH376OdaxzJg6yWgTrN928dIlho0YDYDPo0cc8fLmwYOHFCpYgIl//xnh3MtXrvDq1SsA9u47QPtOXcO/DzWOnDmys3LZYrJkzmzUONesW8/yFasIDg7h3r177DtwEH9/f5o1+Z62P8c82bt37z6z584H4NvaNY0aI8Cs2XPZvWcvgYFB3L59m/0HPQkJCaF3j27Urlkjxu2cPHWa9Rs2YWZmRq2a3xg9ThERMS0lGiJG0OC7OnTp3pP1Gzbx6NEjkr21+tGTJ09Ys3Y9CRIkoGH9ehHqfV2pYpTtfVOtKnW/rc3CxUvYsWs31ap8HWex/zV+Ak+ePKF7106REqG0aV2YMnEcRUqUYcKkKTFOArJkzkTTxo1iHUuWzJliXScm7t9/EJ7shalQriyTJ/xNmjSpIxx//PhJ+L/btO1A6VIlGTlsCFmzZObsufN06daT/Qc9+aZWXY4dOUjChLEb0vRfTpw4FSnOju3bMqBvb6ysrGLURlBQEE1btOLZs2dUKFeWb6rFrochJvYfOBghTktLSwYP6Evnju1j3Iavry+Nm7UkKCiIFs2a4JY3j9HjFBER01KiIWIEiRIlouY31Vm89B8WLFpC+7b//zR/0dJlvH79mm9r1yRp0qSR6vr4+LB2/UZOnznD06fPwoflnD4TOpfj4sVLEPW0CqPYsHEzAHW/rR1leQH3/Njb23Ps+An8/f2xtrZ+Z5slSxSnZIniRo3zQ5QsUZxg/xeEhIRw+/Yddu3Zy8DBQ8lboAgeM6ZS99ta4eeGhISE/zutiwtrV/5DggSh8w4KFSzAhrUryZ47HxcuXmLBoiURVlj6UL/27sGvvXsQEBDA9Rs3WPrPCkb+PpaVq9awdtUycuWMvAzvv/3criPbduwkrYsLc2ZNN1psb5s2eQLTJk/Az8+Pq9eu4zFnLoN+G87SZStYu3JZpOTt3wIDA/muUVNOnT5DPre8/DV2dJzEKSIipqU5GiJGEvZp/78/kZ47L3QIy797CwCmTJtJxmyu/PDTz4z9cxwzPeYwZ94C5sxbwImTpwB4/vxFnMZ95eo1AIqUKBNpAzwLawcsbRzx9fUlJCSER48ex2kscc3c3Jy0aV1o3KgBWzaswcrKih9++pk7d+6Gn+Pg4BD+76aNG4UnGWHs7e35vmF9gDjZFA8gQYIEZM2ShT69ujNz2mSu37hB8x9+euek/E5dezDTYw5OTqnYsnENTnE8P8PGxoZcOXMwavhQhg0ZyPETJ2nfuet/1gkKCqJhk+Zs2ryFnDmys2HNyihXshIRkfhPPRoiRvJVhXK4ODvjffQYJ0+dJk9uV85fuIDnoSM4OaWKNEzq8BEv2nbohKWlJaOG/0b1alVwcXbG1tYWMzMzfu03kBGjxxhtxae3P6l/W3BwMADf1auD9TuGAcV0RaG9+/YzY9bs2AUI/NCi2UfrCcmYMQOlShZn3fqNbNqyNbxnIkP6dOHnZMiQPuq6GTIAcO/+/TiP89taNXB0dMTL+yjXrl0nY8YMUZ7XrWdvxk2YRIoUydmyYS1Zs2SJ89je1qzJ93Tv9Str120gMDAwyqFewcHBNG7+AytWriZL5sxsXr+GlClTfNQ4RUTk41GiIWIk5ubmNG7UgBGjxzB77jx+Hzmc2XNCezMaNfguwspGAMtXrsJgMNC+bRu6du4Yqb1LV67E6vphn7z7vnwZZfn1GzeiPJ7WxYVLly/Tt3dPXHPljNU1o3Pp8pVIPTsxUaZ0qY865CpF8uQAPHz4MPyYg4MDWbNk5uKlyzx+HHUPjo/PIwDs7eP+k3gzMzOSJU3K8+fPefDwYZSJRs8+ffnjr/EkS5aUzevXxGiIlbElSZIES0tLgoKCePz4SaQFDoKDg2nSvBVL/1lOxgwZ2Lpx7TuHWImISPymoVMiRtSsaejwqAWLlhAQEMD8hYtDjzeJPIk6bNJxWheXSGUPHz6MtPHZuzinSQPA+fMXoizfsGlzlMe/rhza0/KPEZfSbd60McH+L2L9FRcrTkUnKCiIPXv3A5AlS8TVo2rXCl05aduOnVHW3f7meEH3/HEWX5grV65y7fp1zM3NyRRFktG7b39+H/sXSZIkYdO61eTNkzvOY4rK7j37CAoKInHixCRPnixCWUhICM1a/sTipf+QPl06tm1aR9q0kX/vRUTk86JEQ8SIsmXNSvGiRbh//wE9evfl1u3bkfbOCJMjezYA5s5fiK+vb/jxFy9e8EPrX3j69Gmsrl2ooDsODg6cPnOWhYuXRiibNGUay5avjLJet84dcXR0ZPio35k4eWqUe0ScPnOW5StXxSqeT8HI0WPw8fGJdPzBg4f88NMvXL5yhbQuLpGGtXVo+wv29vasW7+RWbPnRij78+/x7N67Dzs7O5o3jTgRPGxTRAtrB2LqzNlzLFi0BH9//0hlp06foUHjZhgMBmrV/IYUKSIOM+o3YDCjfv+DxIkTs2ndqki7b0cnbHPHTNlcYxzn3n37Wbt+Q5S/H/v2H+DHNm0BaNm8SYRNDkNCQmj5YxsWLl5CurRp2bZpHenfGp4mIiKfLw2dEjGypk2+Z/9BT8ZNmAREPQkcQj/1/2vcRLyPHiNLzjyUKF4Mg8HAnr37SJAgAS2aNYn0kvtfbG1t6denJz1696VJ8x+YNHkqqZxScerUaa5eu073rp0YPebPSPXSpnVh+ZKFfNeoMe07dWXYyNHkypmTlClS8PTZU06dOsPNW7f4rl4dvq1l/D0Z4lKffgPpN3AIefPkJlOmjFhYWHD71m28jx3Hz8+PVKlS8s/i+ZH2KUmd2gmPGVNo8H0zWrX+hXETJpElS2bOnj3HmbPnSJgwIbNnTiV16oibzIXNg/n3MLn/8uDBQ5o0/4E2dna453MjTZo0vA54zfXrNzh2/AQGg4HChQoyefxfEeqtXruOYSNDV2vKkjkT4ydOjrL9HNmz0bN7xAnaYXHGdMlcCB0O98NPP5M4cWLc87mRKlUqXvi+4MqVq5w5ew6AqlUqM3hAvwj1Jkyawtz5CwHIlDEDg4cOj7L9EsWL0apl8xjHIyIinz4lGiJGVr9eHTp364mfn1+Ue2eESZIkCYf276b/oCFs3baD9Rs2kTJFCmrXrMGg/n2ZOn1mrK/dtXNHkiRJwviJkznifRQbGxuKFinM7JnTePXKL8pEA6Bc2dKc9D7M+ImTWb9xE56HDhMYGIhTqlRkypiBn1u3inb520/ZuD/HsHvvPo4fP8HWbTt4+fIliRI54p7PjWpVv6b1jz+QOHHiKOvWrlmDQ/t3M3zU7+zes5czZ8+RPHkyGtb/jp7du5And+TegKPHjgHQsnnTGMfomisHQwb2Z8++/Zw/fwGvo8cICgoiefJkfF25IvXqfEvjRg0i9BJAxP0+jnh5c8TLO8r2y5QqGSnROHrs+Js4Y740b5lSJenbuyd79+3n4qXL7D/oicFgwClVKr6tXZPvG9anVo3Im+69HefO3f+9SpcSDRGRz4uZwVhL2ogYibe3NwUKFODwgT24589n6nDkExW2+3jTxo2YNX2KqcMB4Ovqtdi3/wAXz5yI86VlP0TOPPl5+eoV508dw8bGxtThvNOn+LOOKe+jxyhUrBReXl64u7ubOhwRkY9KPRoiEq/t23+QFq1aAzCgb59ol6SNa69fv2bvvv107tDuk04ybty4yYWLl5gycdwnn2S07dCZV69ecfly7FZgExGRT4MSDRGJ1y5fucLlN0sBt/25tckSjYQJE+L75IFJrh0b6dKlJdg/bjeBNJaFi5fy7NkzU4chIiLvSYmGiMRLzZs2/qjL4crH9/j+LVOHICIiH0DL24qIiIiIiNEp0RAREREREaNToiEiIiIiIkanREPkC1S+YhUsrB3Yueu/9zUQEREReV9KNERETGzQkGFYWDswaMgwU4ciIiJiNEo0RERERETE6JRoiIiIiIiI0SnREPlMvHz5kjF//EWJMuVJmsoFu8QpyJIjD981asL6jZti1MbDhw/5e/xEqnxTm8zZc2ObKDlJUjpTvHQ5Jk6eSnBwcJT1Dh0+wneNmpA2UzYS2ichSUpnsuVy4/umLdm+Y1eEc/39/Rk5egwFi5bEMZkTNo7JcM6QhRJlytNvwGD8/f0/+FkY0/vE++jRI/oNGIxbgSI4JnPCIWkqChYtyZ9/jycwMDDCuRbWDgweOhyAwUOHY2HtEP7176FU16/foG2HzmTJkQcbx2Qkc0pLhUpVWbBoSZSxBwcHM3naDEqWrUCSlM5YOyQldbpMFCxakm49e/Pw4cMI53seOkyP3r9SuHhpUqfLhLVDUlwyZqVew8Yc9Dz0IY9RRES+QNqwT+QzcP36Dap8U4vzFy5ib29PieLFSJTIkVs3b7Fx0xZ8HvpQ9evK72xn05ZtdO7WExdnZ7JmyUyRwoW4f/8+BzwP4XnoCFu2bWf5koWYmZmF19mydTvf1K5LYGAg+fO5UbxYUQIDA7l9+w7LVqzE0dGB8uXKABASEsI3teqyfecuEiVKROlSJUjkmIgHDx5w/uJFho0cTdufW+PkZB1nzyo23ifek6dOU7VGbe7cuYuLszNlSpckJMTAocOH6dqjN+s3bGLtqmUkSJAAgKaNG3H8xEmOnziJW948uOXNE96Wm9v//33Q8xDVatbh6dOnZMyQgVo1v+Hx4yfs2r2Hnbv3sGnzVjxmTInws2nV+hfmzFuAjY0NJYoXI3myZPg8esSVK1f546/x1P22NilSpAg/v9+AwezcvQfXXDkpVLAACRMm5MKFiyxfsYpVq9cyf84s6tWpHZePXEREPiNKNETiuZCQEOrUb8T5Cxep8U01Zk6dRJIkScLLX7x4waHDXjFqq4B7Pvbv3k6RwoUiHL979x7Va9Vh9Zp1LPlnOfXr1QkvGzl6DIGBgcybPZOG9etFqPfo0SOuXb8R/v3effvZvnMX7vnzsXPrRuzs7MLLDAYD+w8cxNHRIcb3Xr5iFXbt2Rvj88ME+7+I0XmxjdfPz4/adRtw585dhg0ZSNfOHbG0DP0z+/jxYxo0bs627TsYPvJ3BvTrA8Cs6VMYNGQYx0+cpOY31cOPv83f358G3zfj6dOndGzfltEjhmJhYQHAqdNnqFilOvMWLKR4saK0/rElEJp8zpm3gLQuLnju20WqVCkjtHns+AnSpE4d4ViXzh2Y6zEj0rlr1q2nXoPG/NK+I9WqVMbW1jZGz09ERL5sSjRE4rnVa9dx9NhxMqRPz4I5s7CxsYlQ7uDgQIXyZWPUVs4cOaI8njq1EyOGDuHr6jVZtmJlhETj/oMHAFSpXDFSvWTJkpEsWbK3zg0dqlOyRPEIL+0AZmZmlCheLEZxhqlc6SvSp08XqzqxEdt4PebO5+q1a9Sr+y09u3eNUJY0aVI8pk8hU3ZXJk6ZSv++vSP0PvyXpctWcPPWLTKkT8/IYUPCkwyA3K65GNDvV9q278TYP/8OTzQevBkWlT+/W6TEASCfW95Ix76uFPlnCPBNtarU/bY2CxcvYceu3VSr8nWM4hYRkS+bEg2ReG7T5q0ANGrwXaQk430EBQWxfccuDnoe4t79+/j7+2MwGHjh6wvAxYuXIpxfqGABzpw9x/fNfqBPz24ULVI4wovw29zzuWFhYcFMjzlky5qFb2vVjPIlOKb+/TJvbLGNd8ObuTB1v416eFGaNKnJmiUzZ86e4+KlS2TLmjVGcex+02vTsH49rKysIpU3b/I97Tp05tLly9y+fQdn5zTkyJ4NBwcH1m/YxPCRo2nUoH6MkjIfHx/Wrt/I6TNnePr0GUFBQQCcPnMGePPzrxKjsEVE5AunREMknrt+4yYA2bNn++C2Lly8yLf1GnL23Ploz3n+POKwo2FDBnHi5Ck2btrMxk2bsbW1paB7fsqVLUPjRg3IlClj+LmZM2di7OgRdO/1K+06dqFdxy5kypiRYkWLUOObatSu+U20SYopxDbeq1evAVC/UZN3tv3woU+ME43bd+4CkCFD+ijLra2tSZMmNbdv3+H2ndBEw8HBgelTJtKq9S/0HTCYvgMG4+ychqJFClP168o0+K4u1tYR58JMmTaTbj178+rVq2hj+ffPX0REJDpKNETiuZgOv4mJ7xo24ey583xTvSrdu3QiZ47sJEqUCAsLCy5cvEjOPO4YDIYIdZycUnFo/2527trD1m3b2X/gIJ6Hj7B77z6GjhjFpPF/0bJ50/Dz2/3Shrrf1mblmrXs23eAffsPMH/hIuYvXEQ+t7zs2LIBR0fHGMU7cvQYzp2/EOv7nDV9SozPjU28YatyVa1SmeRvDRmLSrJkSWMdd2x/1nW/rcVX5cuyas069uzdx/4DB1m2fCXLlq9k8G/D2bVtE2nTugBw+IgXbTt0wtLSklHDf6N6tSq4ODtja2uLmZkZv/YbyIjRYyL9/EVERKKjREMknkv35kXxwoWLH9TOufPnOXnqNClTpmDZ4gWRehYuXb4SbV1zc3PKlysTvrrUy5cvmTBpCr37DqB9p67U/bZWhOTBySkVbX78gTY//gDA8RMnadbyR44dP8HI0WMZOmRgjGLetHnre00Gj02iATGP18XFhfMXLtLmp1ZGncfgnCZ00nZYj8m/+fv7c+dNr4dzmjQRyhInTkyzJt/TrMn3AFy+fIXWv7Rnx67d9Pq1P/PnzARg+cpVGAwG2rdtQ9fOHSNd49KV6H/+IiIiUdE+GiLxXKWKFQCYv3DxB+1B8fjxEwDSpE4d5fClBQuj3qshKnZ2dvTo1gUXZ2f8/f05/44kyC1vHtq3/RmA4ydPxvg627dsINj/Ray/PlR08YZNiP9n2YpYtZcgQei8i7D5EP9WulRJABYt+SfKc2bPXYDBYCBL5sw4O6eJVP62zJkz0btndwBOvBV72M8/rYtLpDoPHz5k67YdMbgTERGR/1OiIRLP1fymOvnc8nLt+nUaN/+BZ8+eRSh/8eIF27bvfGc7WbNkxtzcnFOnz4RPPg4za/ZcFi1ZGmW9MX/8xc2btyIdP+Llzd179zA3Nw9/ed2+YxfrN26K9LIcHBzMhk2bAUifLu5WkYqt2Mb74w8tSOviwpx5Cxg0ZFiUcx2uXr3GvAWLIhxL86YX4uz5qOfG1KtTm7QuLly9do0+/QYQEhISXnbm7DkG/TYUgC6dOoQfP3rsOIuXLsPPzy9Se2vXbwAg3Vux53gzx2fu/IX4vpn4D6G/Pz+0/oWnT59GGZuIiEh0NHRKJJ4zNzfnn0Xz+bp6LVasXM3WbTtCN+xzdOTWrVscO3GSgu7537nEbYoUKfi59Y9MmDSFCpWrUaZUSVKlSsWp06c5dfoMvbp3ZcToMZHqDR0xmh69+5IzR3Zy5MhOwgQJuXXrFvsPehISEkLPbl1wckoFwMlTp+jSvReJEiXCPZ8bTk5OvPJ7xaHDR7h79x5OTqno0bVzXDym9xLbeO3t7Vmz8h9q1K7H4KHDGT9pMnlz5yZ16tS88H3BuXMXuHT5MkUKF6Rxowbh9SpX/ApbW1tWrFxN2QqVyZQpIxYWFnxTvSo1qlfD2tqaRfNnU61mHcb88TcrV62lYAF3Hj95ws5duwkMDKRxo4b81KpFeJvXb9ygUZPm2Nra4p7PDRcXFwICAzh27ARXrl7FwcGBQf1/DT+/edPG/DVuIt5Hj5ElZx5KFC+GwWBgz959JEiQgBbNmjBr9tyP8+BFROSzoERD5DOQMWMGjhzcw/iJk1m+cjV79+0nODgYp1SpqFb1a5o3bRyjdv4cM4o8uV2ZMm0Gh454YWVlRYH8+Rg5/DdyZMsWZaIx7s8xbN22HS/vo+zctQc/Pz9SOzlRvVoVfv7px/ChXQDVq1bh6dNn7Nm7j0uXr7D/oCf29nakS5uW1q1+oM1PP0TYqdrU3ifePLldOXbkAJOmTGP12nV4HzuO/0FPUqRITloXZxp8V5c639aKUMfJKRWrly/lt2EjOHr8BHv3H8BgMODi7EyN6tUAKFqkMN6e+xj5+1g2bd7KilWrsbGxoViRwrT6oQWNGnwXYbJ40cKFGTZkILv27OP8+Qt4HT1GggQJSOviTJdO7Wn3c5sIy90mSZKEQ/t303/QELZu28H6DZtImSIFtWvWYFD/vkydPjPuHrSIiHyWzAxaQkQ+Md7e3hQoUIDDB/bgnj+fqcMREXlv3kePUahYKby8vHB3dzd1OCIiH5XmaIiIiIiIiNEp0RAREREREaNToiEiIiIiIkanRENERERERIxOiYaIiIiIiBidEg0RERERETE6JRoiIiIiImJ0SjRERERERMTolGiIiIiIiIjRKdEQERERERGjU6IhIiIiIiJGZ2nqAESic/bceVOHICLyQfR3TES+ZEo05JOTPHlybG1tadqilalDERH5YLa2tiRPntzUYYiIfHRmBoPBYOogRP7txo0b+Pj4mDoMiYGgoCBatmyJr68vCxYswNra2tQhfZb8/Pxo1KgRjo6OzJw5EwsLC1OHJDGUPHly0qVLZ+owREQ+OvVoyCcpXbp0+j/meGLkyJGcPXuWffv2UbRoUVOH81lbtGgRJUuWZMeOHfTo0cPU4YiIiPwn9WiIyHs7ffo07u7udOrUiZEjR5o6nC9Cjx49+Ouvvzh69Ci5cuUydTgiIiLRUqIhIu8lMDCQYsWK8erVK7y9vTVk6iPx9/cnf/782Nvbc+DAASwt1TEtIiKfJi1vKyLvZdSoURw7dozZs2cryfiIrK2tmT17Nt7e3owaNcrU4YiIiERLPRoiEmsnT56kQIECdOvWjWHDhpk6nC9S7969GTNmDF5eXuTJk8fU4YiIiESiRENEYiUwMJAiRYoQEBCAl5cXCRMmNHVIX6TXr19ToEABEiZMyMGDB7GysjJ1SCIiIhFo6JSIxMrw4cM5ceIEs2fPVpJhQgkTJsTDw4Pjx48zYsQIU4cjIiISiRINEYmxY8eOMWTIEPr06UOBAgVMHc4Xr2DBgvTq1YvBgwdz/PhxU4cjIiISgYZOiUiMBAQEUKhQIQAOHz5MggQJTByRQOgQqkKFCmFhYYGnp6d+LiIi8slQj4aIxMjQoUM5c+YMHh4eepn9hIQNoTp16pQm5ouIyCdFiYaIvJO3tzdDhw6lb9++5M+f39ThyL+4u7vz66+/MnToULy9vU0djoiICKChUyLyDq9fv6ZgwYJYWlpy6NAhrW70iQoICKBIkSIEBwdz5MgR9TqJiIjJqUdDRP7T4MGDOX/+PLNnz1aS8QlLkCABHh4enD17liFDhpg6HBERESUaIhK9w4cPM3LkSPr370/evHlNHY68g5ubG/3792f48OEcOXLE1OGIiMgXTkOnRCRK/v7+FChQABsbGw4cOKDejHgiMDCQokWL4u/vj5eXF9bW1qYOSUREvlDq0RCRKA0cOJBLly7h4eGhJCMesbKyYvbs2Vy6dIlBgwaZOhwREfmCKdEQkUgOHjzI6NGjGTRoELlz5zZ1OBJLuXPnZsCAAYwaNQpPT09ThyMiIl8oDZ0SkQj8/PzInz8/iRIlYt++fVhaWpo6JHkPQUFBFCtWDF9fX44ePaohVCIi8tGpR0NEIujfvz/Xrl1j1qxZSjLiMUtLS2bPns2VK1fo37+/qcMREZEvkBINEQm3f/9+xowZw5AhQ8iVK5epw5EPlCtXLoYMGcLvv//O/v37TR2OiIh8YTR0SkQAePXqFfny5SNZsmTs3bsXCwsLU4ckRhAcHEzJkiV5/Pgxx44dw8bGxtQhiYjIF0I9GiICwK+//srNmzfx8PBQkvEZsbCwYNasWVy/fp2+ffuaOhwREfmCKNEQEfbs2cNff/3F0KFDyZ49u6nDESPLkSMHQ4cO5Y8//mDv3r2mDkdERL4QGjol8oV7+fIlbm5uODk5sWvXLvVmfKaCg4MpXbo0Dx484NixY9jZ2Zk6JBER+cypR0PkC9e7d2/u3LnDrFmzlGR8xsKGUN2+fZs+ffqYOhwREfkCKNEQ+YLt3LmTcePGMWLECLJmzWrqcCSOZcuWjWHDhvH333+za9cuU4cjIiKfOQ2dEvlC+fr6kidPHtKlS8eOHTswN9fnDl+CkJAQypYty+3btzl+/Dj29vamDklERD5TerMQ+UL17NmTBw8eMHPmTCUZXxBzc3NmzpzJvXv36NWrl6nDERGRz5jeLkS+QNu2bWPixImMGjWKzJkzmzoc+ciyZMnCyJEjmTBhAtu3bzd1OCIi8pnS0CmRL8zz58/JkycPmTNnZuvWrerN+EKFhIRQoUIFrl69ysmTJ3FwcDB1SCIi8pnRG4bIF6Z79+48evSIGTNmKMn4gpmbmzNjxgx8fHzo3r27qcMREZHPkN4yRL4gmzdvZurUqfz+++9kzJjR1OGIiWXKlInRo0czZcoUtmzZYupwRETkM6OhUyJfiGfPnpEnTx6yZ8/O5s2bMTMzM3VI8gkICQmhUqVKXLhwgVOnTuHo6GjqkERE5DOhHg2RL0TXrl15+vQp06dPV5Ih4cKGUD158oSuXbuaOhwREfmMKNEQ+QJs2LCBGTNmMHbsWNKnT2/qcOQTkz59esaMGcP06dPZuHGjqcMREZHPhIZOiXzmnj59iqurK3ny5GHDhg3qzZAoGQwGKleuzJkzZzh16hSJEyc2dUgiIhLPqUdD5DPXuXNnfH19mTZtmpIMiZaZmRkzZszgxYsXdOnSxdThiIjIZ0CJhshnbO3atXh4ePDnn3+SNm1aU4cjn7i0adPyxx9/MGvWLNatW2fqcEREJJ7T0CmRz9Tjx4/JnTs3+fPnZ+3aterNkBgxGAxUq1aNY8eOcfr0aZIkSWLqkEREJJ5Sj4bIZ6pjx468evWKqVOnKsmQGDMzM2Pq1Km8evWKjh07mjocERGJx5RoiHyGVq1axbx58/j7779xdnY2dTgSz7i4uPDXX38xd+5cVq9ebepwREQkntLQKZHPzKNHj3B1daVw4cKsWrVKvRnyXgwGAzVq1ODIkSOcOnWKZMmSmTokERGJZ9SjIfKZad++PQEBAUyZMkVJhrw3MzMzpkyZwuvXr+nQoYOpwxERkXhIiYbIZ2TZsmUsXLiQcePGkTp1alOHI/FcmjRp+Pvvv1mwYAHLly83dTgiIhLPaOiUyGfi4cOHuLq6UqJECZYvX67eDDEKg8FA7dq1OXDgAKdPnyZ58uSmDklEROIJ9WiIfCbatWtHSEgIkydPVpIhRmNmZsbkyZMJCgqiXbt2pg5HRETiESUaIp+BJUuWsGTJEiZMmECqVKlMHY58ZpycnJgwYQKLFy9m6dKlpg5HRETiCQ2dEonn7t+/j6urK+XKlWPJkiXqzZA4YTAYqFu3Lrt37+b06dOkTJnS1CGJiMgnTomGSDymlz/5mB48eICrqytlypRh6dKlSmpFROQ/aeiUSDy2ePFili9fzsSJE5VkSJxLmTIlEydOZNmyZSxZssTU4YiIyCdOPRoi8dS9e/dwdXWlYsWKLFq0yNThyBekfv36bN26ldOnT+Pk5GTqcERE5BOlREMkHtKSo2JKYUspFy9enBUrVmgIlYiIRElDp0Tiofnz57Nq1SomT56sJEM+uhQpUjBp0iRWrVrFggULTB2OiIh8otSjIRLP3LlzB1dXV6pWrcr8+fNNHY58wRo1asTGjRs5ffq0dqIXEZFIlGiIxCMGg4EaNWpw5MgRTp06RbJkyUwdknzBHj16hKurK4ULF2bVqlUaQiUiIhFo6JRIPDJnzhzWrl3LlClTlGSIySVLlowpU6awZs0a5s6da+pwRETkE6MeDZF44tatW+TOnZsaNWowZ84cU4cjEq5JkyasWbOG06dP4+zsbOpwRETkE6FEQyQeMBgMVK1alePHj3P69GmSJEli6pBEwj1+/JjcuXOTL18+1q1bpyFUIiICaOiUSLwwa9YsNm7cyLRp05RkyCcnadKkTJ06lQ0bNuDh4WHqcERE5BOhHg2RT9yNGzfIkycPderUYebMmaYORyRaLVq0YPny5Zw6dYq0adOaOhwRETExJRoinzCDwUDlypU5c+YMp06dInHixKYOSSRaT58+JXfu3Li6urJx40YNoRIR+cJp6JTIJ2zatGls2bKF6dOnK8mQT17ixImZNm0amzdvZvr06aYOR0RETEw9GiKfqGvXrpEnTx4aNGjAtGnTTB2OSIy1atWKxYsXc+rUKdKnT2/qcERExESUaIh8gkJCQqhYsSIXL17k1KlTODo6mjokkRh79uwZefLkIVu2bGzZskVDqEREvlAaOiXyCZoyZQrbt29n5syZSjIk3kmUKBHTp09n27ZtTJkyxdThiIiIiahHQ+QTc+XKFfLmzUvjxo2ZPHmyqcMReW+tW7dm/vz5nDx5kowZM5o6HBER+ciUaIh8QkJCQihfvjzXrl3j5MmTODg4mDokkff24sUL8uTJQ8aMGdm2bRvm5upEFxH5kuivvsgnZOLEiezatYuZM2cqyZB4z8HBgRkzZrBz504mTpxo6nBEROQjU4+GyCfi0qVLuLm50aJFC8aPH2/qcESMpm3btnh4eHDixAkyZ85s6nBEROQjUaIh8gkICQmhTJky3L59mxMnTmBvb2/qkESMxtfXl7x58+Li4sLOnTs1hEpE5Auhv/Yin4C///6bvXv3MmvWLCUZ8tmxt7dn5syZ7Nmzh3Hjxpk6HBER+UjUoyFiYhcuXMDNzY2ffvqJv/76y9ThiMSZDh06MH36dI4fP07WrFlNHY6IiMQxJRoiJhQcHEzp0qV58OABx44dw87OztQhicSZly9f4ubmhpOTE7t27cLCwsLUIYmISBzS0CkRE/rzzz85cOAAs2bNUpIhnz07OztmzZrF/v371XsnIvIFUI+GiImcO3eOfPny8csvvzB27FhThyPy0XTu3JnJkydz9OhRcuTIYepwREQkjijREDGB4OBgSpQowZMnTzh69Ci2tramDknko3n16hX58uUjadKk7Nu3T0OoREQ+Uxo6JWICY8aM4fDhw3h4eCjJkC+Ora0tHh4eHDp0iDFjxpg6HBERiSPq0RD5yM6cOUP+/Pnp0KEDo0ePNnU4IibTvXt3xo0bh7e3N7ly5TJ1OCIiYmRKNEQ+oqCgIIoVK4avry/e3t7Y2NiYOiQRk/Hz8yN//vw4Ojqyf/9+LC0tTR2SiIgYkYZOiXxEo0aNwtvbGw8PDyUZ8sWzsbHBw8MDLy8v9e6JiHyG1KMh8pGcPHmSAgUK0LVrV4YPH27qcEQ+Gb169WLs2LF4eXmRJ08eU4cjIiJGokRD5CMIDAykaNGivH79Gi8vLxImTGjqkEQ+Gf7+/hQoUABra2sOHjyIlZWVqUMSEREj0NApkY9gxIgRHD9+HA8PDyUZIv9ibW2Nh4cHx48fZ+TIkaYOR0REjESJhkgcO3bsGIMHD6ZXr14ULFjQ1OGIfJIKFSpEz549GTx4MMePH49QFhgYyL1790wUmYiIvC8NnRKJQwEBARQuXJiQkBAOHz6s3gyR//D69WsKFiyIpaUlnp6eJEiQAID58+fTqVMnHjx4gJmZmYmjFBGRmFKPhkgcGjZsGKdPn9aQKZEYSJgwIbNnz+bkyZMMGzYs/LidnR0+Pj7cv3/fhNGJiEhsKdEQiSPe3t4MHTqUPn364O7ubupwROIFd3d3+vTpw9ChQzl69CgAGTNmBODq1aumDE1ERGJJQ6dE4sDr168pVKgQ5ubmHDp0KHwIiIi8W0BAAIUKFcJgMHDkyBH8/PxInDgxCxYsoGHDhqYOT0REYkg9GiJxYMiQIZw9e5bZs2cryRCJgZs3b4b3WCRIkIDZs2dz9uxZhgwZQqJEiUiSJIl6NERE4hklGiJGduTIEUaMGEH//v1xc3MzdTgi8cKIESPIli0bHTt25PHjx+TLl49+/foxfPhwjhw5QsaMGZVoiIjEMxo6JWJEr1+/xt3dXRuPicSSv78/f/75J8OGDcPS0pKBAwfSqlUrSpYsSUBAANmyZePFixds2bLF1KGKiEgMqUdDxIgGDhzIxYsX8fDwUJIhEgvW1tb06tWLixcvUrduXTp16oS7uzstW7bk/Pnz3LlzRz0aIiLxjHo0RIzE09OT4sWLM2TIEPr06WPqcETitePHj9OlSxe2b99O5syZuXz5MpaWlvj7+2NhYWHq8EREJAaUaIgYgb+/P/nz58fe3p4DBw5gaWlp6pBE4j2DwcCaNWvo1q0bFy9eBODixYtkyZLFxJGJiEhMaOiUiBH079+fK1euMHv2bCUZIkZiZmZGjRo1OHXqFD169MDe3l69GSIi8Yh6NERiYdWqVSRKlIiyZcuGH9u/fz8lS5Zk+PDh9OzZ03TBiYiIiHxClGiIxEKBAgUoWLAgU6ZMAeDVq1fky5ePpEmTsnfvXvVmiIiIiLyhtyKRWLh69Sp16tQJ/75v377cuHGD1atXK8n4Qty4cQMfHx9ThyEiX4DkyZOTLl06U4ch8t70ZiQSQ8+ePePJkydkzJgRgD179vDnn38yevRocuTIYeLo5GO4ceMGOXPm5NWrV6YORUS+ALa2tpw9e1bJhsRbSjREYujatWsAZMyYkZcvX9KyZUuKFStGp06dTBqXfDw+Pj68evWKefPmkTNnTlOHIyKfsbNnz9K4cWN8fHyUaEi8pURDJIbCNgvLmDEjffr04datW6xbtw4LCwuCgoKYNm0at2/f5rfffjNxpBLXcubMibu7u6nDEBER+aRpeVuRGLp69So2NjacPXuWv//+m+HDh5MtWzY2btyIm5sbbdu2JTAw0NRhioiIiHwSlGiIxNDVq1dJly4dLVu2pFSpUlSsWJGqVatSpUoVUqRIwZEjRxg5cqSpwxQRERH5JGjolEgMXbt2DX9/f+7fv0/JkiVxc3Mjffr0LFu2jNq1a2NmZmbqEEVEREQ+GUo0RGLo1KlTXL9+HRsbG1atWsWIESNo3749CRMmNHVoIiIiIp8cJRoiMXTjxg0AmjZtyuDBg0mZMqWJIxIRERH5dCnREImh7t27U7lyZcqWLWvqUEREREQ+eZoMLhJDw4cPV5IhX5SdO3diZmZmst97MzOz95r7lCFDBszMzML3vompuL7fkSNHYmZmxsaNG+Ok/Q/h7e2Nubk5Xbt2NXUoH8XLly+ZP38+nTp1okSJEtjZ2WFmZkb16tXfu82w37t3fQ0ePNiIdyLyaVOPhohIPOfh4UGLFi1o1qwZHh4epg7nk1W2bFl27drFjh07PnrydPfuXX777TdKly7N119//VGvHRPu7u58++23jB8/njZt2pA1a1ZThxSnLl68SOPGjY3aZt26dfHx8Ymy7PHjx6xZswaAcuXKGfW6Ip+yLyrRuHHjRrR/BEQkdpInT67daiVOnT171tQhGM2AAQPw9fVlwIABpg4lWgMGDGDZsmX07t2bf/75x9ThxCkHBwdatmxJwYIFKVCgAEePHqVNmzYf1Obvv/8ebdmoUaNYs2YN2bJlo1SpUh90HZH45ItJNG7cuEHOHNl55edv6lBEPgu2NtacPXdeyYbEmRw5cpg6BKN49OgRc+fOJVOmTJ/0p9l58uShYMGCrFy5khs3bsT5f9v37t3Dx8eH3Llzx+l1opI5c2ZmzJgR/v2ZM2fi9HozZ84EoGXLlnF6HZFPzReTaPj4+PDKz59xdbKQNbmNqcMRidcu+vjRftklfHx8lGhEI2xugcFgYOrUqUyaNInz589jY2NDmTJlGDx4cLQvWC9fvmTChAksXbqU8+fPExgYSKZMmahXrx7dunXD3t4+/NwMGTJw/fp1AGbPns3s2bPDy94eSnXmzBkWLVrE1q1buXbtGj4+PiRKlIhChQrRoUMHowzn8fHxIWXKlKRMmZJ79+5FKPv777/p2LFjeCw5c+YMLztz5gyurq7kyZOHEydOhB9/+xn+2/Xr1+nXrx+bNm3i+fPnZMyYkebNm0c5x2Dnzp0RXvD//bIf1VCqwMBARo0axdy5c7l27RqOjo5UqlSJYcOGxfp3fubMmfj7+9O0adNo55wYDAaWLl3KrFmz8PLy4unTp6RIkYIcOXJQq1Yt2rdvH35u8+bNmT17NrNmzaJQoUL079+f3bt34+fnR758+RgyZEj4Pa5du5bRo0dz7NgxDAYDZcuWZcyYMdEOjWrWrBlHjhxhypQpDB06NFb3GRPPnz9n+fLlLFiwgO3bt9O3b1+TJBof0759+zh//jyWlpY0a9bM1OGIfFRfTKIRJmtyG/KksX/3iSIiRtC5c2f+/vtvSpUqRc2aNfH29mbFihVs2rSJTZs2UbJkyQjn37p1i8qVK3PmzBlSpEhBsWLFsLa25vDhwwwaNIgVK1awc+dOkiRJAoSOCz948CD79u0jc+bMEdp7+99jx45lxowZ5MyZEzc3NxwdHbly5QobNmxgw4YNjBkzhi5dunzQvSZPnhw3NzeOHTvGyZMnyZMnT3jZtm3bwv+9devWCIlGWNlXX30Vo+ucOXOGMmXK4OPjQ9q0aalZsyZPnjyhX79+eHp6RjrfycmJZs2asXHjRu7fv0/lypVxcnKKUP62wMBAqlSpgqenJ2XKlCFnzpwcOHCA+fPns3v3bk6cOEHixIljFCvAypUr//P+AgICqFevHqtXr8bCwoKiRYuSLl067t+/z6lTp9i+fXuERCPMkSNHaNu2LZkyZaJChQpcvHiRffv2UblyZbZt28axY8fCJztXrlyZQ4cOsWbNGg4fPsypU6dIlixZpDbDYly1apXREo3Xr1+zfv16FixYwNq1a/H3Dx1Z4O7uTokSJYxyjU9ZWG9G1apVI/2uiXzuvrhEQ0TkY5o6dSo7duygdOnSQOgn13369GHEiBE0atSICxcuYG1tHV723XffcebMGdq1a8eoUaOwsQntgfXz8+Onn35i3rx5dO7cObyn4vfff8fDw4N9+/ZRsmTJaCeDN2nShL59+5IhQ4YIxz09PalUqRK9evXiu+++w8XF5YPut0KFChw7doxt27aFJxrBwcHs2rWLnDlzcuHCBbZu3RrhxTks0ahQoUKMrtGkSRN8fHxo0qQJ06dPJ0GCBACcPn2acuXK8fDhwwjn58iRAw8PD8qWLcv9+/fp1avXf04G379/PwULFuTy5cvh++U8e/aM8uXL4+3tzYQJE/j1119jFOurV684fPgwVlZWFChQIMpzevTowerVq8mWLRurVq2KMGQsODiYdevWRVlvwoQJkRLEnj17MmrUKFq1asW9e/fYuXNn+JwAf39/KlWqxJ49e5g4cSL9+vWL1Gb27NlJkiQJp0+f5sGDB++9X1BISAi7du1i/vz5LFu2jKdPnwKhP4sGDRrQsGFDsmXLFmXdsEn7sRVVz5epvXz5kiVLlgDwww8/mDgakY9Py9uKiMShn3/+OTzJgNDhQL/99huZMmXi5s2bLFu2LLxs48aNHDhwgKJFi/LXX3+FJxkANjY2TJ48mZQpUzJ//nyePHkSqzjKlCkTKckAKFKkCO3atSMwMJBVq1bF/gb/JewT8a1bt4YfO3LkCM+ePaNWrVoUKlSInTt3EhwcDIS+SO/cuRNLS8sIzyk6e/bswdvbm0SJEjFu3LjwJAPA1dU1ypfn2DIzM2PmzJkRXrITJUpEz549gYi9M+9y+vRpAgMDyZgxY3hC+bYHDx4wadIkzM3NWb58eaR5KRYWFtSoUSPKtosVKxapF6pXr14AXLhwgbZt20aYeGxtbU3nzp2B0OFiUTEzMwvvbTp69GgM7/L/vL296datG2nTpqV8+fLMmDEDR0dHunfvjre3N2fPnmXAgAHRJhkAX3/9Nc2aNYv116doyZIl+Pr64uTkRNWqVU0djshHpx4NEZE4FNUSmhYWFjRs2JChQ4eyc+dOvv/+ewDWr18PQJ06dTA3j/w5kJ2dHQULFmT9+vUcPnyYSpUqxSqWFy9esG7dOo4dO8bjx48JCAgAQpf6hNCX0w9VqlQprKys2L17N0FBQVhaWkYYGmVhYcHBgwc5dOgQxYoVw8vLi2fPnlGiRAkcHBze2X7YJ93Vq1cnUaJEkcqbNGlChw4dPuge0qVLF2HYV5iwJODOnTsxbuvBgwcAUQ5TAti+fTsBAQGUKFECV1fXWMUZ1byaJEmSkCxZMh49ehRledjcjP+6h6RJkwJw//79GMdy/vx5atWqxblz5wBImTIlbdu2pWHDhhQvXjxW+6GEJUufg7AJ502bNsXSUq9c8uXRb72ISBzKmDFjlMfDehdu3boVfuzKlStA6C703bt3/892/z086F1WrVpFy5Ytefz4cbTnPH/+PFZtRsXOzo6iRYuyZ88ePD09KVGiBNu2bcPGxoYSJUpgYWHBb7/9xtatWylWrFish02FPa/onmvixIlJlCgRz549e+97iG6yt6OjI0D4HIOYCIsjrO6/hU3kf58VtqIb5mZvb8+jR4+iLA9bSOC/7iEs1rDhTjFx9+7d8CTDxcWFUaNGUbNmTWxtbWPcxufmwoUL7Nu3D9BqU/LlUqIhIvKJCBtOFN0wp7elT58+xu3eunWLhg0b4ufnR+/evWnYsCEZMmTAzs4Oc3Nzpk6dSuvWrY02xv2rr75iz549bNu2jQIFCrB//35KlixJwoQJKVasGLa2tmzdupV+/frFOtH4GKLqTXpfYZPGo0vi3mfn8zDvivN97yMs1rAFB2KiYMGCjBs3jvnz53Pw4EEaNWqEvb09NWrUoEGDBlSuXDnCMLf/MmLEiPCkJTY+tc0qwyaBlyxZkuzZs5s4GhHTUKIhIhKHrl27hpubW5THAZydncOPpU2bFoB69erRtm1bo8Wwdu1a/Pz8qFOnDsOGDYtUfunSJaNdC0KThgEDBrB161ZKlCiBv79/+NyNBAkSUKpUKXbs2MGjR4/Yt28fdnZ2FCtWLEZthz2vsOf3b0+fPv2g3gxjC5vn8ejRoyjLw3pPzp8//9FiepewWGMzEdze3p527drRrl07rly5woIFCyJ8JUmShG+//ZYGDRpQrlw5LCwsom1r48aN7zUZ/FNKNIKDg5kzZw6gSeDyZdNk8C9YkT+8cR5wgJtPjLOJYacVl3AecIDFRx8Ypb24sOLEQ2rPOEWOYYfIOtSTKlNO4OF5j5CQ9/8kd8fFJzSccwbXEYfI/Jsn5Scc469dt3gdFGLEyCW+mj9/fqRjwcHBLFq0CCDC6kdVqlQBYOnSpbG6RtgnxUFBQVGWhw2XCktk3vb69esIE9KNoUiRItjb23Pw4EFWr14NROyxqFChAgEBAYwYMQJ/f//weR0xUaZMGSA0eYqqlyCq5x3mXc8pLri6upIgQQKuXr0a5XCl8uXLY2Vlxf79+z+JndANBkN4b0L+/Pnfq41MmTLRt29fzpw5Ez453M7OjhkzZlCxYkWcnZ1p164d+/bti7IXbefOnRgMhlh/fUrWr1/P3bt3cXBwoF69eqYOR8RklGjIF6PP2iu0W3aJE3d8KZzegdKZEnHlkT+/rr/KT0suvFeyMXHvbRrPO8e+q8/IndqeClkT4/MykFHbb1J31mn8AoLj4E4kPpk4cSJ79+4N/95gMDBgwAAuX76Ms7MzderUCS+rVasWBQoUYNeuXbRp0ybK+RT37t1j2rRpEY6Ffcof3Ytq2Pj/ZcuWRZjgGxAQQPv27cPnhhiLpaUlZcqUITAwkKlTp5IkSRLc3d3Dy8N6N8aPHw/EbthUqVKlyJcvH0+fPqVjx44EBgaGl509e5YhQ4ZEW/ddzyku2NjYULRoUQIDAzly5Eik8pQpU9KmTRtCQkKoU6dOpAn5wcHBrFmz5mOFy7lz53jy5Amurq7vvbTt2/Lnz8/o0aO5ceMGO3bsoFWrVgQEBDBhwgRKliwZZQ/bp+zQoUPkyJHjnXNqwoZNNWjQADs7u48RmsgnSUOnvmCLm+UiKNiAk2PMxs2+S++v0tGupDMpHWL2yeTHtO7MI2Yfvk9KeyuWtXQlU7LQZUMf+gZQz+MMG84+ZqbnPVoVSx3jNo/f9mXY1hvYWJmzpHku3F1CV8x5+TqYpvPPcvD6C0Zsu8mgKhni4pYknvjxxx8pU6YMpUuXJnXq1Hh7e4fvED5//vwIS9iam5uzcuVKqlatypQpU1iwYAFubm6kTZsWf39/Lly4wJkzZ0iZMiU//vhjeL2iRYvi5OSEt7c3BQsWxNXVFSsrK0qUKEGLFi2oUaMG+fPn5+jRo2TNmpWyZctibW3Nvn37ePbsGR06dODvv/826n1XqFCBdevW4e/vT9WqVSPMF8iXL1/4ykgQ8436IHROw9y5cylTpgweHh5s376dYsWK8fTpU3bs2EH16tXx8vIKn2T9ttq1a+Ph4UH37t3ZsmVL+It09+7d43QMfa1atdi9ezdbt26NtEEjwOjRo7l8+TLr16/H1dWVYsWK4eLiwoMHDzh58iQPHjz4aJ/Yhy1LXLNmTaO2a2ZmRtmyZSlbtiwTJkxgw4YNzJ8/P8Y9WXGhdu3a3L17F/j/4gr79u2jaNGi4ef069ePatWqhX//6tWrdw5ze/DgQfjeJxo2JV869Wh8wTIktSZLChusLIzza5DKIQFZUtjgaP3p5a/j99wGoE/F9OFJBkAK+wQMrx66es2Evbdj1asxfu9tDAZoWzJNeJIBYJfQgrG1smBuBnMO3+OZ38cbpiGfnrFjxzJu3DgeP37MypUrefDgAbVq1QrfdfrfXFxcOHToEOPHjyd//vycPn2af/75hwMHDmBtbU3Xrl1Zvnx5hDoJEyZk48aNVKtWjatXrzJv3jxmzJgRPs7d0tKSXbt20aNHD1KnTs3mzZvZs2cPpUuXxsvL672HyPyXt3sp/p1ImJmZUb58eeD/u4nHRu7cuTly5AiNGzfGz8+PlStXcu3aNQYMGMDixYujrVejRg0mTpxIjhw52Lp1KzNmzGDGjBnhL5txpXnz5tjY2DB37twoE4aECROyZs0a5s6dS+nSpTl16hT//PMP586dI2/evEyYMCFO43vb7NmzsbCwoHXr1nF2jQQJElCzZk2WLFlCjx494uw673L06FE8PT3x9PQM79V7+vRp+DFPT89Yr+4GMHfuXAIDA3F1daVIkSLGDlskXjEzfGoDG+OIt7c3BQoUYGPrPORJY2/qcIzu1N2XjNlxk0M3nvM6yECW5DY0L+xEA/eUOA84AMDtQREnWxb5w5tbT19zsFN+0ib5/0ZSdWed5sC15yxtngv7hBaM3XmLwzde4BcYTKZkNvxQxImGBVJFiqHTikssPfaQsbUyUz//h3e5G8udZ68pNNabBBZmnOldCBuryJMQC4zx4t7zAFb+kJtC6d69ln9AUAi5RhzGLzCEfR3zkyFp5I24as04xeEbLxhfJwu186Ywyr18Kk7e8eXrKSfx8vKKMCTmcxf2dyQm9x22mtAX8idW3qFNmzZMmTKFbdu2hSdZn5oTJ07g5uZGnTp1+Oeff0wdzhcvNn9vRD5V6tH4DOy98oya00+y+fwTktsloFL2JNgntKDHmssM2XTtvdvdeekpNaaf4uYTf8pkTkSe1Pacvf+KbquvMHlfzDesMrVT914CkC2lbZRJBkC+NKFjaE/ffRmjNi8/8sMvMITENpZRJhkAbm8S2lMxbFNEPl8DBw7EwcGBQYMGmTqUaA0ePBgrKyuGDx9u6lBE5DPx6Y1xkVjxCwimw/KL+AcZ6FzGha7lXMI/ST184wXfzz3z3m1P2HuHMTUz08D9/70Ty44/pMPyS/y56xbNCqXCJkH0SxTGxM0n/hT982is69XLl4I/a2eJ4TVeA+CSKPq5KM6JEgJw42nMVuAKa9P5P9tM8KbN1zFqU0Q+X05OTvTt25eePXuycePGKHftNiVvb2+WL19O586dw3cPFxH5UEo04rm1Zx5z/0UgmZJZ06WsS4TNnwqlc6BZIScmvmfvQ9VcSSMkGQB13FIwbs9tLj704/idlxTNEPVutzFll8CCevliP6yocAyGN4V5+WblJ9v/SIrCynxfx2yVqJi0afem7GUM2xSRz1uPHj1MOifhv7i7uxMSoiW5RcS4lGjEcwevhW5MVSN3MszNI+8wWytv8vdONL7KFvWusFmS23DxoR/3XwS8V7tvS2pnFeOeCZH4RHMzRETkS6c5GvHcvTcv+y5vhv78W3THY8I5mrr2CUM/qfePJxvShfUsvPqPPS3CysLuzRhthvV62MWwTREREZHPiXo0PhNvD5l6WxSdHDH2IXVj6vHLQAZvjrze/bsUTudAoyhWvopK2sShCdOtZ9H3wNx5HhDh3HdxeXPebSO2KSIiIvI5UaIRz6VyCJ1wfCuaCcc3P/GJyC8Dgll6LPbrlAMxTjRcU4euKHXhwSv8AoOjXHnq2G1fAHKnjtkOrlmS22BtZc5TvyCuPfaPcuWp2LYpIh8uQ4YMXL9+natXr5IhQ4YPbq958+bMnj2bWbNm0bx58w9uLy4sWLCASZMmceLECYKDg8mRIwctWrTg559/jrBRYkwMHDjwP1fGSpgwIf7+MVs0Q0REiUY8VyS9I4uPPmTN6Ud0KesSaZ7GqpM+JoosZtImsY60v4exOSdKSJ7Udpy8+5K1px9Hmnx+4Noz7j4PIKW9FQVcYjbJPIGlOeWzJGb92cesOPGQzmXTRii//tgfr5svSGBhRoWsUc91ERH5UG3btmXixIlYW1tToUIFrKys2LZtG+3atWPbtm38888/sU42ANzc3MiXL1+k46bcyVtE4h8lGvHcN67JGL71Bpd8/Phr9206lXEOH0blfesFHofvmzjCT0O7Us60XnKBYVuuUzCtPRnf7A7u4xtIn7VXAWhb0jlSojbL8y6zDt0jn7M9f38bccnHtqWc2XDuMRP23qFslsTkf5OkvHwdTNdVlwkxQNNCTiSy0X9mIh/Ltm3bCAwMxNnZ2SjtDR8+nF69epE6dWqjtGdMy5YtY+LEiTg5ObF79+7wZWnv379PuXLlWLFiBePGjaNjx46xbrtWrVoMHDjQyBGLyJdGb0DxnG0CC/7+NgvNF5zj9x03WXXKB1cnWx74BuJ5/Tkti6Rm2oG7WFl8hAkXn7DqrsloWigVcw7f56uJxymZKTFWFmbsvfKMF6+D+TpHEloUcYpU7/GrIC77+JPSPvJ+Gfmc7enzVTqGbrlBzRmnKJExEY7Wlhy89hyfl4Hkd7GnV4W0keqJSNzJnDmzUdtLnTr1J5lkAOEb640cOTLC3hepUqVi0qRJlC1blhEjRtC+ffv36tUQEflQ+svzGSidOTGrfshNxexJePAigI3nnvDML4hh1TLxY7HQ/4NMaquccnj1TIyvk4Xcqe05eP05Oy89JUNSa4ZWzci0+tmxeI/Z77+UdGZe4xwUz5CI47d92Xr+MUltLelRPi3LWrh+8IaGIl+yY8eOUbNmTZImTYqdnR0FChRg5syZQOgCGFEtgpEhQwbMzMy4du1ahONly5bFzMyMnTt34uXlRY0aNUiWLBnW1ta4ubkxY8aMKGNo3rw5ZmZmeHh4GPv2PsitW7fw8vIiQYIE1KtXL1J5mTJlcHZ25t69exw8eNAEEYqIqEfjs5EnjT0ejXJEOv7P8dCJ1nlS20cq8+zsHmVb/7Rw/c9r/Vk7S5R7X0R3/FNSO28KaueN+QaBXculpWu5/+6VKJc1CeU0D0PEqLZv3061atXw9/cnR44c5MuXj3v37vHTTz9x9uzZ925348aNjB07luzZs1OpUiVu3LjB/v37adWqFU+fPqVr165GvIu4c/ToUQBcXV2xsbGJ8pxChQpx+/Ztjh49SvHixWPVvre3Nz179uTJkyckTZqUIkWKUK1aNRIkiNy7KyISHSUanwEf30D8g0LCl1wN43XzBb+9WTr2u/yx331bRMQUXr16RePGjfH396d///4MHDgwvPdi//79VK5c+b3bHjlyJDNmzKBly5bhx+bNm0eTJk0YPHgwP//8M7a2th8U/7Vr18iYMWOs6zVr1izGPSdXr4bOLUufPn2056RLly7CubGxZs0a1qxZE+GYi4sL8+bNo0yZMrFuT0S+TEo0PgNn7r+k4Zyz5EhpQ9ok1lhZmHHjyWtO3X0JQB235FTLlczEUYqIxMw///zD3bt3yZYtGwMGDIgwRKp48eL88ssvjBo16r3arlOnToQkA6Bx48YMGzaMs2fPcuTIEUqXLv1B8dvb29OsWbNY1ytZsmSMz/X1DV0+284u+uWz7e1De7JfvHgR43YzZ87M8OHDqVKlChkzZiQgIICTJ08yaNAgdu3aRdWqVTlw4AB58+aNcZsi8uVSovEZyJLchqaFUnHw2nMO33iO7+sQ7BNaUCKjI9/lT0mdvMlNHaKISIzt2rULgPr160c5iblRo0bvnWhUr149yuM5cuTg7Nmz3Llz573afVvy5Mk/uTkdMdWkSZNIx8qVK0e5cuWoW7cuy5Yto0+fPqxdu9YE0YlIfKNE4zOQJlFChlfPZOowRESM4vbt20D0w4L+a7jQu4QNJ/o3R0dHgHizGV1Yb8XLly+jPSes18PBIWb7A71L//79WbZsGVu2bCEwMFB7aojIOynREBGRT1JUq0oBH7RU68dY5tXHx4du3brFul7JkiVp1apVjM4N2/X8+vXr0Z5z8+bNCOd+qBw5QhccCQgIwMfH55Nd9ldEPh1KNERE5JOSJk0aIPqX6H8vXfup8fX1Zfbs2e9VN6aJRv78+QE4ffo0fn5+Ua48dfjw4QjnfqhHjx6F/zusR0VE5L8o0ZA4M2bHTcbuvEWXsi7vXCL2c7T8xEN2XHzKmXsveeAbyHP/YOwSmJMtpS01cyejccFUWFlE/+mqX2Awszzvsfb0I64+9icg2EAKOyvyprHjx2KpKZTO8SPejcjHU7p0aWbNmsWSJUsYMGBApF6IhQsXmiiymMmQIQMGgyFOr5E2bVrc3d3x9vZm6dKlNG3aNEL5rl27uHXrFk5OThQrVswo11yyZAkA2bNnN9pwLBH5vGnDPpE4MufwfVae9AFCdxGvlispOVPZcuy2L33XX+Pbmad5FRAcZd0bT/z5auIJhm65wb0XARTP4EiFrIlJZmfJpnNP2Hf1+ce8FZGPql69eqRKlYpz584xdOjQCC/tnp6eTJgwwYTRfTp69+4NQM+ePbl06VL48QcPHvDLL78A0KtXr0iJ2vjx48mRI0ek5OTGjRssWLCA169fRzhuMBiYO3du+PU6d+5s9HsRkc+TejRE4siAyunJlMyGRDYR/zO78+w1DeecxfuWLxP33qFb+Yi9Pa8Cgmk45wzXn7ymz1fpaFMiTYRdyx+/CuTJq6CPcg8ipmBnZ8fcuXP55ptv6N+/PwsXLgzfsG/37t106NCBP/7444ufjFy3bl1+/vlnJk2aRJ48efjqq6+wsrJi27ZtPH/+nFq1atGuXbtI9Xx8fDh//jxOTk4Rjj9+/Jjvv/+eNm3a4O7uTpo0aXjx4gWnT58O34ujXbt2tG7d+qPcn4jEf+rREIkj+V0cIiUZELpKWPvSzgDsvvI0Uvlfu25x7fFrmhdyom0p5whJBkBSWysyJ496J2CRz0XFihXZv38/33zzDXfv3mXlypU8efKEiRMnhn+injy5lu6eOHEi8+fPx93dnV27drFp0yayZMnC+PHjWbZsGRYWFjFuK23atHTv3p0CBQpw+fJlVq5cyZYtWwgJCaF+/fps27aNcePGxeHdiMjnRj0aH9ElHz/G7b7NgWvPeOAbSAILM5LYWpHbyZZv3VJE2FTP93UwK0/6sP3iE84/eMW9F4GYm0HGpNZUy5WMn4qnxsYq8v+BOA84AMDtQcVYfPQBHofucfGhH/YJLaiQNTF9KqYnmZ0V/oEhjN9zm5WnfLjz7DXJ7KyokzcFXcu5RJo30GnFJZYee8jYWplxdbJj7M6bHLrxAr+AYLKmsKVFESfq508Z6+dx8eErJu+7w76rz3ngG4C1pTl50tjzQxEnKuVIGun8e88DGLfnFjsvPeXu8wDMzMxIamtJthQ2VMkZOuchvrB8kzwk+NezDggKYb73AwB+Kq4VXeTL5u7uzurVqyMdnzt3LgAFChSIVBbdRPGdO3f+57U8PDyi3PsiuuOfkkaNGtGoUaMYnz9w4EAGDhwY6XiyZMnee38SEZGoKNH4SM7ef0mtGafxfR1MluQ2VMxmD2ahL887Lz/DPygkQqJx5t5Leq65QnI7KzIntyZvGnuevAri6G1fRm2/yZbzT/inhSvWVlF3Sg3dfJ3pB+9SNIMj5bIk5sjNFyw6+pDjd16y6ofcNJp7lks+ryia3pGMSa05cO054/bc5vGrQEbVyBxlm0dv+dJn7RWcHBNQOlMifF4GcvD6c7qsvMypuy8ZUjVjjJ/HqpM+dFpxiYBgA9lT2lAhWxIevwzk0PXn7L3yjE5lnOle/v/r3d9/EUCVKSd44BuIS+KElM2SmAQW5tx7EYD3LV9uPn0dbxKNxy8DmbQvdFOwStmTRCg7cfclT14F4eSYgHRJrDl5x5cNZx/j8zKQFPZWlMmcmMLpNQlcPn8PHjzAz88v0p4ZBw8epHv37gA0b97cBJGJiEhMKdH4SKYduIvv62B6VUgXPmwmzMvXwZx98CrCMZfECVncLBfFMzhi/tbQmWd+QbT95yI7Lj1lxsG7tC0Vsa0wS48/ZPPPecmawhaAp35B1Jh+krP3X1Fj+kkcrS050MkdR+vQX4FTd19SbepJFng/oENpF1wSJ4zU5twj9/mhiBMDvs4QPpzH+9YLGs45y//Yu++4Kqs/gOMfLnvvPQRFUUFFcW8b7pGjtNQc/Sor20ubtlylmaOyLLHSrJylpplbURQFBRyIiOy997q/PxCU7kVBwYv6fb9evdLnPM95vveC8Hzv+Z5zfgxMor+nBQ+2slS57r/OJuXzyuZIdLW1+OFxLx5oee2aCykFTPrlHEsOxNPTw5xeHuYArDuZTEpeKZM62zN/uEeN9fWLyyoIjsu76X2vVzXyUx893M3YMM273tf9cyGDHWczKK9QkpJXSlBMDkVlSh7ztWVat5o10ueTK78PHE31+HhXNCsDEmu0LzkQz+DWliwb2xIjvbqXRAhxtzlz5gwPP/wwPj4+eHh4oKenR1RUFMHBwUDlDtZjx47VcJRCCCFuRBKNOyQ1rxSAAS0tVNqM9bXp7FpzqUAnc32czFUf9s0Ndfh4qDt9loaw/Wx6rYnGGwNcq5MMAAtDHSZ3dmDOzmgiUgvZ+0KH6iQDwMfRmAdaWvDPhUyORufwqK+tSp8OZnq8O7BZjTkDnVxMebq7I18eiOP7o4l1SjSWHoynpFzJnMHuNZIMAC87Iz4c5M6zv0fgH5hUnWhUv3+eFiqbeOnrKOjuXr9P+dW9vpvxvMV5EWeTCvgjJLXGsf91d1RbppZVWDnJOywpn+D4PP7X3ZFp3RywNNQh8EoOs7dfZuf5TGZvu8xXYzxvKR4h7gatW7fmueee48CBAxw+fJjc3FzMzMx44IEHmDp1KpMmTdJ0iEIIIW5CEo07pKOzCXsvZjFrWxRvPeBKt2Zm6OvceC6+UqnkREwux67kkJhTQlFpBUqgaqXHqPSiWq8d4GmhcszdygCoHC25Pgmp4mFd2Z6cW6K2z2FtrdTGPLaDDV8eiONETA5l5Up0tNXv5gtQUaFkf2QWWlow3Nta7Tk9riYNJ+Nyq4/5upiw5kQyn+2u3MCrbwvz2/pEf8noO/eQ/ko/F17p50JJWQVx2cX8FZbOisPx7Dyfwc8TW9PK7trXouLqF7e0XMmY9jZ8NMS9um1gayvsTfUY9n0oG8+k8mp/l+qvqRD3GhcXF77++mtNhyGEEOI2SKJxhzzXy4nAmFwOR2Xz+E/n0NfRoq2DMT2amTGmgw1t7I1rnJ+aV8L/1kcQFJtbS4+QW6x+DwYARzM9lWPGeopa2yrbKx/ci8sq1La7Wah/qHU210ehBUVlSjILS7E1Ud8/QGZhWXXc7RcG1XoeQHr+tSVcx7W35WBkNptD03hq/QW0FZWjH92bmTHSx4Yubk1/8yg9HQXNrQ15uZ8LnraGPPNbBC9vjmTHM+2qR2lMrkueJvqpzjnp4GxCe0djTifkcyw6RxINIYQQQjRZkmjcIYZ62vw2pS2n4nLZfzGLE7G5nIzNJTguj6+PJPDGABde7X9tP4U3tkYRFJtLFzdTXuvvgreDMWYG2uhqKygpq8Djk8Ab3k+hqH1UQaFVe1tjK6+o/MReWwFj2te9fEmh0GL5uJbM7OPMvxGZnIjJJSg2hx8Dk/gxMIkJHW1Z9EjdRyle2Rx585P+w9PGkJm1lKrV19A2Vpjqa3MmIZ/YrGLcLCsTBlfLa4mDq6Vq6VzVOacT8knJUz/yJIQQQgjRFEiicYd1cjGlk0vlp+8lZRVsDk3jrT+jWLQ/jhE+NnjaGFJQUs7ei5loK2DNE61V9mKIzqi9ZKoxxWYVqz0en11MhRIMdLSwNLzxBlpWRroY6CooKq3gs6EeGOvXr/yptb0Rre0rS40qKpTsuZjFzI0XWR+cykgfG/qpKRlT579zJuqih7tZgyUaWlpaWBrpkFtcTlp+aXWi4eN4rYwqs6AMZzXzdDIKKuerGMtkcCGEEEI0YbJhnwbp6SgY39GOTi4mKJVw7uqKQzlF5VQoK8to1G34tulM2p0OFYDtZ9MpUVNWtflqPJ3dzG44PwNAR1uLPs0rJ3hvO5t+W/EoFFo87GVZvUTs2aT8Ol8b/1GPev93KytO1eZKRhGxWcUotKDZdaMYjmb6dHQxAeBwVLbKdVmFZYQlVr7O9k4mDRaPEKJu5syZg5aWltp9KO4n5eXlfPvtt/Tt2xdra2sMDAxwdXVlxIgR/PXXX3Xq45133kFLSwstLS2++OKLRo5YCKEJkmjcIf7Hk4hMK1Q5fiWjiIjUygTDxbxyboOtiS4WhtpkF5Wz+UzNT973Xczk+6MJjR+wGok5Jcz9N4aKq+VPACHxeXx3tHIJ1qe6O9R2aQ2v9nNBV1uLD/+OZmtoGkqlska7UqkkOC6XA5FZ1cf+CEklNEF1CduMglJOXZ007qxmSV5NiUgpYPOZVIpKVROz88kFzPgjAqUSBrexwtq45ijQS1eXP152KJ7T8ddec1FpBbO3RZFTVE57J2M6u0qiIYS489LT0+nRowfPPfcc4eHh9OjRg1GjRuHq6sq///7L1q1bb9rHiRMnWLhwocoqgkKIe4uUTt0ha08m8+72yzSz1MfLzghjPW1S8ko4EZNLSbmSUT7WdLxaUqWt0OLFPi588s8VZm6MZPXxJFwt9LmSUUxwfB4v9nFm2aH4O/4aJne256cTSey+kEkHJ2PSC8o4Fp1DWYWSKV3sGeilupu3Oh2cTfhqtCevbb3E8xsuMvffGFrZGmJhqEN6finhSQWk5ZfyQm+n6lKov8+l88rmTBzM9PB2MMLcQIfMgjICY3IoKKmgWzNThrSp2/3vhLT8UmZujMRIL4p2jsY4mOpRUq4kNquY8KR8lMrKlcgWjGiucu1ALyue7enIyoBERv0QRicXEywNdQiJzyMptxQHMz1WjGspv6CFEHdcRUUFI0eO5MSJE7z88svMnz8fA4Nro7K5ubm17s5epbi4mClTpmBvb0/Xrl3ZsmVL4wYthNAYSTTukLcecOPfiEyC43IJis0lr7gcGxNdurub8YSfPcP+85A8o5cTrpb6fHskgYiUQi6kFOJlZ8iysZ6MaW+rkUSjo4sJE/3s+GJfHAcuZVFUWkFreyOmdLHn8U529eprVDsbOjib8OOxRA5GZXM0OgcAOxNdvB2MeLCVZY2d0p/t6YSLhT4nY3M5k5BPdmEZVkY6tHM05jFfO0a3t1HZk0KTvOyMeOsBV47H5BCZVsSZhHzKK5RYGekwwNOCET7WjG1vW2NPkut9MMidzq6mrD6eRHhiPoWlFTiZ6/NMDxtm9nFWGQURQog74fvvvycgIIDhw4ezZMkSlXZTU1PatWt3wz4++OADzp07x59//snGjRsbKVIhRFMgicYd8rCXJQ973Xwzu+sNa2td42H7evEf9ajXcYCeHuY3bH99gCuvD3CttR2gnZMJaya2vuE5de3P3cqAj4d61Kmvbs3M6NasfpvyaZK1sS4v93O5rT6GtrVmaC1ffyGaigsXLjB37lz2799PYmIi+vr6WFtb07FjRyZNmlRj9+7c3Fx+/fVXduzYQVhYGAkJCSgUClq2bMm4ceN47bXXMDRU3RizavROqVTi7+/P8uXLOXfuHKampgwbNoz58+dja2tLUVER8+bN49dffyUmJgY7OzsmT57MnDlz0NWtmZxPnTqVNWvWsHr1anx9fZkzZw6HDx8mPz+ftm3bMnPmTKZNm1bv9+PcuXN88cUX7N27l8TERAwNDfHz8+Oll15i5MiRKucnJCQwd+5cdu7cSVxcHAqFAhsbG9q2bcuYMWN45pln6h1DY1q+fDkAr7322i1dHxgYyKJFi3jiiScYMWKEJBpC3OMk0RBCCHFLQkND6dWrF7m5ubRu3ZoRI0agpaVFfHw8u3btorCwsEaicfr0aZ599lns7Ozw8vKic+fOpKenExgYyHvvvceff/7JgQMHapTiXO/tt99myZIl9OvXj8GDBxMQEMCPP/5IUFAQR44cYdCgQZw7d45+/frh6enJgQMHmDt3LqmpqXz33Xdq+wwMDOS5557D2dmZhx9+mJSUFA4cOMD06dMJDg5m6dKldX4/1q9fz5QpUygpKcHb25vhw4eTmprKoUOH2LNnD++//z4ff/xx9fmJiYn4+fmRlJREs2bNGDx4MPr6+sTHx3Ps2DGio6ObVKKRmJhIWFgY2tra9OjRg4iICH777Tfi4uKwsrKiX79+DBo0qNayzqKiIqZMmYKVlRVfffXVHY5eCKEJkmgIIYS4JV9++SW5ubnMnTuX2bNn12jLy8sjNDS0xjF3d3f27NlD//79USiulTpmZWXx+OOPs3PnTr766ivefvtttfdbs2YNISEhtGnTBoDMzEx69OjBmTNn6NGjBxYWFly+fBlz88qV7UJCQujSpQurVq3i3XffpVmzZip9fvvtt7z00kssXrwYbe3KJaMDAwN5+OGHWbZsGYMHD2bo0KE3fS/OnDnDlClT0NPTY8uWLQwZMqS6LTw8nCFDhvDJJ58wYMAABgwYAFSWISUlJfHss8/yzTff1HhALy4uJjDwxvsl/detzNvq168f+/fvr9O5VV9Pa2trvvnmG9566y3Kyq5trDp//nx69uzJ5s2bsbNTLad99913uXDhAuvXr8fGxqbesQoh7j6SaAghhLglycnJADUeqquYmJjQo0fNUk0XFxdcXFRLCi0sLFi6dCmtWrViw4YNtSYaH3/8cXWSAWBpacmMGTN49dVXOXv2LGFhYdVJBoCvry9Dhw6tHil58sknVfp0dnZm4cKF1UkGQLdu3Xj11Vf5+OOP+fLLL+uUaHz22WeUlJSwZMkSlffD29ubxYsX8+ijj7J8+fLqRKPq/Rs8eLBKkqCvr0/fvn1vet/rTZkypV7nA7RuXbdSWICMjIzq/7/22ms8/vjjvP/++7i4uBAUFMQLL7xAQEAAjz76KAcOHKhxbUBAAEuWLOGRRx5h/Pjx9Y5TCHF3kkRD3NSS0Z4sGV33XbeFEPeHrl27smPHDmbMmMEnn3xC37590de/8TLTSqWSI0eOcPDgQeLi4igsLESpVFYvcx0REVHrtYMHD1Y55ulZ+bOpWbNmNZKQKi1btgQq50KoM27cOLUxT548mY8//pjDhw9TVlaGjk7tvy4rKirYuXMnWlpajBs3Tu05/fr1A+Do0aPVx7p27crXX39dnVg9/PDDGBsb13qfm/H397/la+uioqJyue6ysjJ69+7NunXrqtsGDBjAP//8Q6tWrTh48CD79u2rTqgKCwuZOnUqZmZmfP31140aoxCiaZFEQwghxC158803q+cfDBw4EH19fXx9fenXrx+TJk1SWX0oOTmZMWPGEBAQUGufOTk5tbapGw0xMTGpte369qKiIrXtHh7qF6Rwc3NDoVBQVFREeno69vb2tcaVnp5eHbe6kqHrpaZe2xtp8uTJ/PPPP6xbt47Ro0ejra2Nj48Pffv2ZcKECfTs2fOGfd1ppqam1X9++umnVdpdXFwYNmwYGzZsqJFovPPOO1y8eJEff/wRR0fHOxavEELzJNEQQghxS4yMjPj3338JDAxk586dHDlyhKNHjxIYGMjChQv56KOP+OCDD6rP/9///kdAQAC9evVizpw5dOjQAQsLC3R1dSkpKbnpaMj18zrq09bYysvLAdDW1mbSpEl1vk6hULB27Vpmz57Ntm3bOHLkCEeOHGHZsmUsW7aM6dOn88MPP9S5v6lTp9Y3dFq3bs2sWbPqdO71SVltCVrV8aSkpOpjmzdvRqFQsGbNGtasWVPj/PPnzwPwzTffsG3bNjw9PVm1alW9XoMQoumSREPDfgtO4bUtl3jU1/a+Lk+qeh+ut+OZdnRwvrb79YmYXDaeTiUsMZ+EnGIyC8rQ0daimaUBD7S04NmeTjfdX2JraBq/BacQlpRPblE5lkY6tLI1YnR7G8Z3rN9eIDez72Im3x1N5ExCHkVlSppZ6jPKx4YZvZzQ12n4h6JTcbmsOBTPiav7tDia6TOkjRUv9XXGzED1n/r3RxOZszO6xrFjr3TE1VL9ij9C1KZbt25069YNgJKSEtatW8fTTz/NnDlzGD9+PF5eXuTn57Njxw60tbXZtm0bFhYWNfqIjIzUQOTUurlcTEwMFRUVGBgYYG1942WmbWxsMDQ0pLCwkOXLl1ePotSVj48PPj4+QGV50o4dO3jiiSf48ccfGT9+PAMHDqxTP/99iK+Lfv361TnR8PLywtjYmPz8fNLT09Wek5aWBqDyHlRUVKjM27heVFQUUVFRZGVl1S1wIcRdoenscCYE4G6lz6O+tjzqa4uVUc2H470XM/k5KJm0/FJa2hoxpI0VXVxNScwpZsXhBB5YcZqLqQVq+y0qreDJted4fsNFTsTm4uNgzJA2VrhbGRASn8emM2kN+jq+PhzPpF/Oc+RyNj6OJjzY0oK0/FIW7o1l3OpwCkvKG/R+W0LTeOSHMHaez6S5tSEDvawoLa/gmyMJDFkZSlpeqco1rWwNq99rIz35USAahp6eHlOnTqV79+4olUrOnDkDQHZ2NhUVFZiamqokGQBr1669w5FW2rBhAyUlJSrHq+Lp1avXDednAOjo6PDQQw9V93c7FAoFw4cPZ9SoUUDlksB1VTXXpT7/1XXFKQBdXV2GDx8OwJ49e1TaS0tLOXjwIACdO3euPh4dHV3r/asmsH/++ecolUpCQkLqHI8QoumTEQ3RpHRxM6t1ZGdse1sm+dnjbFGzvKKgpJzXt17iz7B0Zv0VxcbpPirXvrolkj0RWYz0sWb+8OaYG1771i8uqyAiRX2CcitOx+cx998YDHUV/D61LZ1cKuua84vLeXLtOY5dyWX+nlg+GuLeIPdLyC7m9a2XUCrhx8e9GNS6cpf5snIlL266yJ9h6bz91yV+eLzm6jL9PC3o52kBwNHoHApKihskHnH/+Prrr3nwwQfx8vKqcTwqKorw8HCA6iVl7e3tsbS0JDMzk3Xr1vHEE09Un79z504WL1585wK/TlxcHLNmzeKLL76oLr86ceJEdTwvv/xynfr54IMP2LlzJy+//DIGBgaMHz++xkpSSqWSEydOkJWVVT1C8dNPP+Hj40OnTp1q9JWenl49aVzdkryaNHv2bP744w++++47hg8fzqBBg4DK8rG3336bS5cu4ezszOjRozUcqRCiKZCPMcVdw9PWUCXJADDS0+a9gZW/jANjcikuq6jRvj8yiz/D0mnrYMTysS1rJBkA+joK2jnVr9ThRpYfjkephBd6O1UnGQDG+tosfsQThRb8dCKJ7MKyG/RSd6uOJVJUWsGjvrbVSQaAjrYWC0c0x1Rfm53nMxs0mRIC4LvvvqN169a0aNGCUaNGMXHiRB588EHatGlDZmYmEyZMoGvXrkDl/IV3330XgIkTJ9KzZ0+eeOIJunXrxpAhQ255p+nbNWPGDL7++mu8vLx4/PHHeeihh+jZsyc5OTk8//zzjBgxok79dO7cmZ9++onS0lIef/xxPDw8GDp0KJMmTWLQoEE4ODjQrVs39u7dW33Npk2b8PPzw8XFheHDhzNp0iSGDBlCs2bNuHTpEn369GlyD+wdOnRgyZIllJaWMmTIELp37864ceNo1aoVX375Jebm5vzxxx9qd3gXQtx/ZETjPyJTC+m3PARrYx1Ovu6HrrZqLlZWrqTL4pOk5JWy5/kOtLY3Aipr5LeHpxMQnUNCdgnZRWVYGeng52rKjJ5O+LmaqvRVm5vN3Qi4nM2j/mfp4W7GhmneKu3x2cWsPJLAvsgsErKL0dFW0NrOiCf87HjM1/aWNnZqynQUWtX/1/7Pa1sdWDkp8X/dHdFWNO7rLimrYN/FLABGt7dVaW9mZYCfqyknYnLZezFT7Tn1tet8Rq33MzXQ4WEvSzadSWPn+Qxa2Rnd9v2EqPLpp5+ybds2AgMDCQgIICcnB3t7e/r168fTTz9dY1dwgNdffx13d3e++OILwsPDCQsLw8fHh19++YWJEycyd+7cO/4aunXrxtNPP82HH35YvZt5u3bteP7553nqqafq1deECRPo0qULS5cuZffu3dVzEhwcHPD19WXYsGE1lr+tej8CAgIICgoiMzMTGxsbOnXqxNSpU5k4cSK6ujeed6YJL774Iu3ateOLL77g2LFjnDp1CkdHR5555hlmz56Nu7u7pkMUQjQRkmj8h6etIR1dTAiOy2PvxawanxBX2X8pi5S8Uto7GVcnGQAL9sRyNDqbVrZG+DqboKejRVRaITvOZrDrfAYrxrVihPeNJxU2hCOXs/nf+gvkFJXjbmVAf08L8ksqOBWXy2tbLnHkcjZLx7Rs9DjulJKyCj7fGwvAAE8LdLSvJRPlFUqOXM4GoKubKQnZxWwNTSM6sxhjPQV+rqYM8rKqcc3tuJReSGFpBRaGOrhbqZ9U3cHJhBMxuYQl5t92opFbVEZ0RmXJk6+T+vX3OziZsOlMGmGJ+bd1LyH+a/jw4dU1+3U1duxYlQSkStVeGnU9DtC/f/8bts+ZM4c5c+bcMKZOnTrx119/3fCcuvbXokULvvrqqzr11adPH/r06VOnc5ua/v37079//9vux9/fv9H3/xBCaI4kGmqM97UjOC6PP0JS1SYaf4RUroP+mG/Nh8QZPR1ZPtYTWxO9Gsf/uZDBM79FMOuvKB5qaYGhnjaNJTm3hGd+u0B+STlfjm7Box2ujV7EZxczbd15Np5Oo5eHeZ1XWVK3IlRdLH6kRYOv5AQQlV7I0oPxAGQUlHI6Pp+0/FJ8nY2ZN7x5jXOjM4ooLK0spToek8u72y9X/71SIi1tDVn9uBce1rc/1B+bWfnQ72yuV+s5VW0xWbc/JyL2ah/mBtqYqllZCsDZQq/GuUIIIYQQd4IkGmqMamfNnJ2X2RORSUZBKVZG14auswrL2H0hAz1tLR5pZ1PjugEtLdX2N9DLiuFtrdkcmsaR6BweaqX+vIaw6mgiWYXlPN/Licd8az7kO5vr8/nIFgz9LpTVgUl1TgI8rAx41Lf+n7x71PKJ/u1KyyutTvaq9G5uzsIRzXEwq/mAn3XdPIi3/4qiezMz3hvYDA8rAy6mFfLh39EExeby5Nrz/Pt8h9tedjb/6mpSRjdIJo2vtuUX3/7KU/kllUnTjZLXqvvlNcD9hBBCCCHqShINNcwMdBjU2oqtYelsPpPGU92v7WS6NTSN4jIlQ9taYWmkWjubkV/K7ohMLqQUkFNUTllF5ZD++asTcaPSCqERE429FzMBGF5LiVZ7J2OM9RSEJ+VTVFqBge7NH6y7NjOjazOzBo3zdnRtZkb8Rz2oqFCSmFvCsegcvtgXywNfn+ar0Z41XnvFdRUVTmZ6/DSxNXpXkwlfZxPWTW5D76XBRKUXsSU0rVFGYIQQQggh7keSaNRifEc7toal80dIao1E44/TVWVTqg+kP59I5qNd0f8pzampsT9VvnK1dGfod6E3PTezsBRH3RvvxNuUKRRaOJvrM7aDLV3cTBn4zRle2xJJZ1fT6pENE/1ridSjvrbVSUYVY31txrS34duARI5czr7tRKNq9KDgBvtkVI16GOvffgmd8dX9L260L0fV/Uwa4H5C3CtkboAQQjQ+STRq0ae5OY5meoQm5nMuOZ829sZEphUSHJeHnYkuA67uP1AlJD6P2duj0FFo8f7AZjzkZYmTmR6Gugq0tLSY928Myw/FU/uUxfqpqKWjiquTIkf6WN+0DEhfzYpa6hy/ksO6Uyn1ig/giU52d2wkxM3SgG7NzPg3IpMDl7KqEwZXi2vlW7XteF11PFXNpnb15XJ1+d34bNUNwKok5JRcje32k7yq+2UXlZNbVKZ2nkbC1VhcGuB+QgghhBB1JYlGLRQKLcZ2sGX5oXh+D07lw8HG/BFc+bA9ur2NyipFO86mo1TC9G4OzOjlpNJfdEZRve6vd7X//Fo+qY7PVj+x19FMn+iMIl7p54JXAy1lejmjSGVORF30cL+zJVfWxpXfztfvgm2ir42HtQGX04vILFC/b0VmQeX5xg0wSd/TxhADXQVZhWVEZxSpXXkqJD4PAB9H9atE1YeZgQ7uVvpEZxQTkpBPn+bmtd/P4fbvJ4QQQghRV7Jh3w1UrSq1OTSNkrIKNp5Ju3pctbymatKxk5nqp8bp+aUcupRVr3tXlf5cSitU274nIlPt8QdaWgCwLTy9Xve7kfEd7Yj/qEe9/7uT8x3KypUEXskBwMO65sP90DaVK4cdjspWe23V8fa1LA9bH3o6Ch64Otq1+YxqcnYlo4iTsbnoaWvxYC2LB9TXQC+rWu+XW1TG7guV3ytD2qiuoCbErfL390dLS4upU6dqOhSNqnofrv8vKChI7bkXLlxg0qRJODk5oa+vT7NmzXjuuedITExs0JjOnj3LK6+8Qp8+fXB1dcXQ0BAjIyNat27NzJkziY6OrjW+L7/8ksGDB+Po6Iiuri7m5ub06NGDJUuWUFzcsCvXBQQE8Nxzz9GtW7fq98TExIT27dsza9YsUlPVf8AVHBzM3LlzGTBgALa2tujq6mJlZcWAAQNYvXo1FRXqy5dfeeUVla+VEKJxSaJxAy1sDOnsakpqXimf/nOFxJwSlb0zrj8XYMPp1BqrCeUVl/PalktkF9Vvboavkwkm+tpcSClkS2hajTb/40lsP5uh9roZvZww1ddm2aF4/AOTKCtXrbG6kFLAjrMNl4jcKcsPxZORr1relJZXymtbI4nOKMbJXE+lrO2p7o4Y6yn4NyKT34JrloB9F5DAsSu5GOkpVBKjgMvZOH94FOcPj9Yrzhf6OKOlBSsOJxAcl1t9PL+4nNe3XqJCCU92cVDZoTw2s6j6frGZdR8B+18PRwx0FfwRkso/5699X5SVK3n7ryhyi8sZ3NpSNusTohG1aNGCKVOmMGXKFGxsbFTaDxw4QMeOHVm7di2Ojo6MHj0aIyMjvv32Wzp06EBERESDxRIQEMBXX33FpUuXqndtHzBgANnZ2axYsQIfHx8OHjyoct2DDz7Ia6+9xoEDB/D09GTcuHH4+fkREhLCq6++So8ePcjIUP+751bs2LGDb7/9lpSUFNq2bcuYMWPo1asXcXFxLFiwAB8fH86dO1fjmrKyMjp16sS7775LUFAQ7dq1Y9y4cXh7e3Po0CGmT5/OkCFDKCpS/RnatWvX6q+REOLOkNKpm3jM15ag2Fx+uLq79H/3zqgyvqMdq44lEpqYT4+vTtHVzQylUsmxK5WfXk/oaMv64LqXHxnqafNqPxc++ecKMzdexP94ErYmupxPLiA2q5jneznx9ZEEleuczfX54XEvnvktgnd3XGbpoTha2RphY6xLdlEZ51MKSMguYaSPNUPbNv7mgQ1p3r8xLNwbQxt7Y5pZ6qOt0CIxp4TQxMoVtGxNdFk13ktlqVd7Uz2+GuPJjN8v8tqWS6w6lli5vG1qIRGphejraLF0jCf2pjWXxq2aB6NTz93EfZ1NeOchNz7bHcOoH8Lo5WGOmYEOx6JzSMsvpaOLCbMedFW57vp5N/XZQNDZXJ9Fo1rw0qaLTF9/ga5uptib6nEqLo+4rGLcrQxYMKJFvV6DEKJ+evfuXevk8vz8fCZMmEBhYSHLli1j5syZ1W1vvPEGixYt4vHHHycoKKhBPmV/6KGHOH/+PF5eXjWOl5aW8vbbb/Pll18yZcoUoqKiatzPy8uLjz/+mMceewwTE5Pq49HR0QwfPpzg4GBeffVV1qxZc9sxAkyaNIlnnnkGNze3Gsfz8/N56qmn+O2335gxY0b1DutV/Pz8ePvttxk5ciT6+teqCEJDQxk0aBD//PMP8+bN46OPPqpx3RNPPMETTzwB0GCvQQhxYzKicRMjfayrl4BVt3dGFQtDHf5+pj0T/eww1tNmT0QmpxPyGdrGip0z2uNkXv+JuDN6ObFoVAva2BtxJiGPI1HZuFsZsHm6NwOulkip08vDnH0vdODFPs5YG+tyKi6XHefSiUgtpJmlAbMfcuPtB91qvb6p+myoB0PbWFNQUs6hqGx2nM0gMq2Qdo7GzH7IjQMzfengbKL22iFtrNnxbDtGeFuTmlfKPxcyyS4qY3Q7G7Y/044hbVSTrqqdtCd0qn8J2PO9nfllUmt6uptzOj6Pfy9kYGWkw1sPuLJxmrfafS9Cr96vv6c5jmpK8G7kkXY2bHnKh4FellxMLWTnuQx0FPBcLyf+frYdNiaqSzELIe6M1atXk5SUxIABA2okGQALFiygRYsWnDp1ir///rtB7ufu7q6SZADo6uqyYMECDAwMiI6O5uLFizXa9+zZw/Tp02skGVX9ffvttwD8/vvvlJTUvthFfbRu3VolyQAwNjbm888/B+DQoUM1SrZ0dHQICgri0UcfrZFkALRr146FCxcC8MsvvzRIjEKI2yMjGjdhaqDDpfe61elcGxNdFo5U/8nx6wNceX2A6qfY4zva3XAuw4ROdrU+6MZ/1KPW6+xM9Zj1kBuzHrr7EoraTO3mwNRuDrd8vbeDMd8+1qrO5x+8lIWhroLX+7vc0v0GtLSsdRPH2u6npQWzH2p2S/fr5GLKj4+3vqVrxd3v/PnztGnTBltbW+Lj49HVVU0uy8rKcHV1JSkpidDQUHx8fAAIDAxkw4YN7Nu3j9jYWDIzM7GxsaFnz5688cYbdO/evc5x+Pv7M23aNKZMmaL2E/79+/czYMAA+vXrx/79+1XaY2Nj+eKLL9i5cycxMTHo6urSrl07nn76aaZMmXJX1tVv2bIFgIkTJ6q0aWtrM2HCBD777DO2bNnC0KFDGzUWhUKBQlH54dl/H9RvpGPHjgAUFRWRnp6Oo6PjTa64PTo6OtX/19au+0IdVXHGxcU1SlxCiPqREQ3RpJyIyeGVzZG8sjmyXvMUGlpxWQWBMbk83cMRu/+UVDWWQ1HZjG5n0yCrUdXFgcis6vc6o+D2l/YVmtW6dWu6detGamoqO3bsUHvOrl27SEpKws/PrzrJAHj33Xf58ssvKS0tpWvXrowcORJra2s2btxI7969+eOPP+7Ia9i3bx/t2rVj6dKlVFRUMHjwYLp168aZM2eqk5e7UXBwMABdunRR2151vOq8xlJRUcEnn3xCQUEBHTp0UDuaUJuq0Q89PT2srBp3YYmSkhLef/99AIYMGVKddNRFVZyNnQgJIepGRjREkxKdUUx0RuVclmldHXBtvE3Ub0hfR1HnkayGcvSVTnf0fhGphbe0bLFouqZNm0ZgYCBr1qxh1KhRKu1Vden/XSnqjTfeYO3atdjb29c4/tdffzF27FhmzJjBsGHDMDJqvAUFEhMTGTt2LHl5efj7+/Pkk09Wj17ExsYycuRIfv75Zx544IE6r3RVNbpSX6tXr26w1bRycnKqJ1A3a6Z+tLLqgf/y5csNcs8qmZmZvPrqq9V/DgkJISYmhpYtW/Lrr7/Wa3Ro/vz5AAwfPrxeIyF1cfHiRT777DMA0tLSOHHiBCkpKXTp0oVvvvmmzv0olcrq0qmxY8c2aIxCiFsjiYZoEm5WQiYa3tM9HHm6h3zqdy+ZMGECr7zyCtu3byc9PR1r62tzjzIzM/nzzz/R09OrnhBbZfDgwWr7GzFiBI8++ijr1q1j3759DBs2rNFiX7JkCZmZmbz11lsqIxeurq58//33dOnShWXLltU5CfD09LylURBPT896X1ObvLy86j8bG6sfrayaE5Gbm6u2/Vbl5+erTHr29fXF39+fNm3a1Lkff39/fvvtN4yMjJg7d26DxgiQnJysEueDDz7Id999h5OT6r5Utfnoo484evQo9vb2zJ49u6HDFELcAkk0hBDiHmFubs4jjzzC+vXrWbt2LS+99FJ12/r16ykuLmbs2LFqS1/S0tLYtm0bYWFhZGVlUVZWuTdQWFgYABEREY2aaFSVez366KNq2/38/DAxMSEkJISioiIMDFQ3w/yv3r1707t37waN827i4uKCUlm5nF1iYiLHjx/ngw8+wM/Pj8WLF9f4/qjNnj17ePbZZ9HS0mLlypVqJ5nfrt69e6NUKqmoqCA+Pp4DBw7wwQcf4OPjw08//cS4ceNu2sdPP/3Exx9/jJ6eHr/++qvaJYaFEHeeJBpCCHEPmTZtGuvXr2fNmjU1HiRrK5sCWLlyJa+99hoFBQW19puTk9PgsV4vKioKqH0ew/XS09NxdnZu1HgayvUrOOXn52Nubq5yTtWoh6mpaaPF4ejoyKhRo+jbty8dOnTg1VdfpU+fPtWTp9U5fPgwo0aNoqSkhKVLlzJp0qRGiw8qJ6q7uroyadIkevXqha+vL9OmTaNnz543HNn4448/mD59Otra2qxfv54BAwY0apxCiLqTREMIIe4hDz30EC4uLpw6dYrQ0FDatWvHhQsXCAwMxMHBQaVM6sSJEzz33HPo6Ojw+eefM2LECFxcXDAyMkJLS4t33nmHefPmVX8yfrtq27W5vLxyU9Px48ffdLSirnMEDh8+zKpVq+oXIPC///2vwUZCzMzMsLS0JDMzkytXrtC+fXuVc2JjY4HKZWQbm6WlJaNGjWL58uVs2bKl1kQjICCAoUOHkp+fz8KFC3nxxRcbPbbreXh40LdvX7Zt28auXbtqnWuzadOm6lLAn3/+mdGjR9/JMIUQNyGJRhMybnU4R6Nz+GNqW3p6qH7qJYQQN6NQKJg8eTLz5s3D39+fRYsWVS8zO3HiRJUVfDZu3IhSqeSll17ijTfeUOkvMjKyXvfX06tcpe36uQnXu3Llitrjrq6uREZG8v777+Pt7V2ve9YmMjLyljZm69+/f4OWXHXq1Ik9e/Zw4sQJtYnG8ePHAW44utCQbG0rN55NSUlR237s2DEGDx5Mbm4un376KW+++eYdieu/bhbnli1bmDBhAhUVFfj7+zNhwoQ7GZ4Qog5keVsharFoXyzOHx5l0b5YTYciRL1UlUetXbuWkpKS6s3L1JVNVa2I5Oqqus9Pamoqu3fvrte9q0qazp8/r7a9tqV3hwwZAtCgS+lOnToVpVJZ7/8aasWpKlUrgK1du1alrby8nPXr1wPcsU/j9+7dC0DLli1V2o4fP86gQYPIzc1lzpw5vPvuu3ckpv8qKyvj4MGDgPo4//rrLx577DHKyspYtWoVkydPvtMhCiHqQBINIYS4x7Rq1YqePXuSnJzMm2++SVxcnMreGVVat67c5PGnn36qMQqRm5vL9OnTycrKqte9u3TpgqmpKeHh4fz666812r7++ms2bNig9ro333wTMzMz5s6dy4oVK6ono18vPDycTZs21SuepmDatGk4ODiwb98+VqxYUaNt1qxZXLp0iY4dO1YnW9dzd3dHS0tL7eaHtVmyZEl1Odb1cnJyeOuttzhw4ACmpqYqIwBBQUEMHDiQnJwc3n//fT788MM631NLSwstLS21mzDWZv78+aSlpakcT0lJYfr06Vy6dAlXV1eVcr8dO3Ywbtw4ysrK+O67725pCWMhxJ0hpVNCCHEPmjp1KgEBASxdurT67+pMmzaNJUuWcOrUKZo3b169AtDBgwfR09Nj+vTp/Pjjj3W+r5GRER988AFvvvkmEydOZMWKFTg4OBAaGsrly5d56623qvc6uJ6rqytbtmxh3LhxzJw5k88++wxvb2/s7OzIysoiNDSU2NhYxo8fz5gxY27pPdEUExMT1q9fz5AhQ5g5cyarV6+mZcuWnD59mnPnzmFjY1PrvhZVc1rU7fRemyVLlvDaa6/Rtm1bvLy80NfXJz4+npCQEHJycjA1NWX9+vUqE6wHDhxIdnY2FhYWxMTE1Po988UXX9RY1en6eTf1iXP27Nm89957tG/fnhYtWqCtrU1cXBynTp2isLAQe3t7Nm3aVGP/lpSUFMaMGUNJSQkuLi4cPnyYw4cPq+2/PsmZEKJxSKLRyApKyvnpRDLbz6YTmVZISVkFdqZ6tHM0ZnxHOx5sdfMd6dLzS9l8Jo19kZlcSisiJa8EPW0FnraGjGtvy+Qu9mgrVH9BBcfl8s2RBE7G5pKWX4ahrgJrYx18nU14vJM9vZtfmwdSVFrBqmOJ/BWeTlR6IWXlSiwMdXCx0Kd3c3Ne7uuCgW7TGQC7lXgzCkr5/mgi/5zPICarGKUSWtgYMra9DdO6OaCrfe185w+PVv958f44Fu+Pq/77a/1deH3AtTKTuKxiVhyOZ39kFkk5JRjqKmjrYMxEPztGt7dVib28Qsnak8lsOJ1KREohRWUVmBvo4GCmR093M2b2ccba+Nov61NxuWwPTycgOoeE7BKyi8qwMtLBz9WUGT2d8HNtvJVqxN1r/PjxvPzyyxQWFqrdO6OKpaUlQUFBvP/+++zevZvt27djZ2fHmDFj+Pjjj1m5cmW97/3GG29gZWXF0qVLCQoKwtDQkB49evDzzz9TUFCgNtEAGDBgAOHh4Sxbtozt27dz7NgxSktLcXBwoHnz5jz//PO1Ln/b1PXr14/g4GA+/vhj9uzZQ2hoKPb29jz77LN8+OGHaneyTk1NJS4uDltbW0aOHFnne82dO5ddu3YRFBTE/v37yc7OxtTUFC8vLwYOHMjzzz+vdhWnzMxMALKysm44t2XOnDk1Eo1Tp04B4O3tTffu3esc5/Llyzl48CAhISHs3r27elWuTp06MXz4cGbMmIGFhUWNawoKCiguLgYgLi7uhnFKoiGE5kmi0Yjisop54uezXEorwlhPQVc3M0wNtEnILmFfZBYZBWV1SjT2R2bx4c5oHM308LA2oJOLCSl5pZyKy+XduDwORmXxwwSvGp+GHbyUxZNrz1NarsTH0ZjObmaUlVeQmFPC9rMZmOjrVCcaFRVKnlx7jiOXczAz0KZ7MzPMDLRJzSvlUnoRSw/GM62rAwa6eo32XtXHrcR7LjmfST+fIym3FEczPXq4m6FUwqm4PD7adYU9F7P4eWJr9HQqk41HfW0JT8rnbFIBbR2M8Ha4ttHW9X8+GZvL5F/OkV1UjpulPoPbWJFVWMbR6ByORuewLzKLr0Z71vjavL71En+EpGKgq6CrmylWRjpkFJRxJaOI744mMtzbukaisWBPLEejs2lla4Svswl6OlpEpRWy42wGu85nsGJcK0Z4X9uYTQioXO3oRsvVXs/Ozq7WhGLOnDnMmTNH5fjUqVNvOJdh+vTpTJ8+XW3bjVawcnBw4LPPPqveKfpe4uXlpXaeRm3+/fdflEol7733Xr2Wvn3iiSdqTSxv5FZXFquaxzN37ly0tbXrfN0LL7zACy+8UK97ubu7N9gKaEKIxieJRiOpqFDy1PoLXEorYlBrSxY/4omF4bW3O6+4nOB49auy/Fd7J2P+etqHTi41f9Ek55Yw+Zdz7DqfyZ/h6YzyufYJ07JD8ZSWK1kxriWPtKu5cVFGQSlxWcXVfz8ek8uRyzm0czRm03RvjPSu/aJQKpUExeZiql/3Xx5Vq2fVV/xHPep0Xn3jLSwtZ/qvF0jKLWX2Q27M6OmEjnblg39mQSnP/XGRQ1HZLDsUXz1SsWS0J4v2xXI2qYDBra1qjGBUKSqtYMYfEWQXlfO/7o58MKhZ9cjS+eQCxq85y8bTaXRxNWNyF3ugMvn8IyQVJ3M9djzTDluTmslbWGI+DqY1j83o6cjysZ4q5/5zIYNnfotg1l9RPNTSAkO9un+NhBAN6/Dhw9WJ15w5cxpkqdrdu3fj4eHBjBkzbruvxrR792569epVr1EXTVi3bh3//POPpsMQ4r4iiUYj+edCJmGJ+bha6LNiXEsMdWs+BJroa9Oned2WsG1pa6T2uL2pHu8NbMbjP51j+38SjbS8UgAGeFqoXGdlpIuV0bVPzFPzK8/t2sy0xkM7VE7w6+JmVqc4q/T3tMDFom7r3N+K+sb7e3AqMZnFjPC2Zmafmpt8WRrpsmS0J92XnML/eBKv9XdRWyetzraz6SRkl+Bqoc97A91qlK+1tjfi9QEuzN52mW8DEqoTjbSrsbdzNFZJHAB8HI1Vjg1oqX7Ua6CXFcPbWrM5NI0j0Tk8VIfRMSFE47h06RKXLl0CYObMmQ2SaNRnbowmVa1i1dQdP378lpY7FkLcOkk0Gsm+yCwARre3UUkybkVZuZIjl7M5GZtLSl4pxWUVKIH84spNrqLSi2qc7+tsQkRqITM3XuSlvs50cjFVO48DKh96tRWw/lQKza0NGdbWSu1DcF3992G+odU33r0XswAYXkt5kYOZHh5WBkSkFhKVXkQLG8M6xXHs6qjNI+1saszvqPKYrx3vbL9MdEYRiTnFOJrp42ljiIm+Nnsislh6MI4x7W3rlJRl5JeyOyKTCykF5BSVU1ZRWTpwPqWyNCYqrRAk0RDijrtZCZloOpYsWcKSJUs0HYYQ9xVJNBpJ/NXSJM86PrTeyKW0Qp5af4GLqYW1npN3NeGoMvshN84mF7D3YhZ7L2ZhqKugg5MxvTzMGdvBlmZW13bedbcyYM4gdz755wrvbr/Mu9sv08xSHz9XUwa1tmJIG6takxRNqG+8MZmVSdizv0fctO+MglJaULevWVJOCQBuluoTBQNdBfameiTllJCUU4KjmT4m+tosGtWC17deYsGeWBbsicXBTA8/FxMebGXJKB8blUnsP59I5qNd0RSWqt9RGVS//kIIIYQQmiaJRiOpY/VNnTz7ewQXUwsZ6GXJ872d8LQxxMxAB22FFpfSCum7LIT/To2zM9Xj72faERCdw6FLWZyIzSU4Po9jV3L56mA8C0Y0Z0Inu+rzp3d3ZLi3NTvPZ3AiJpfjMblsOpPGpjNpeDsYsXGaN6YGdft2WX4onsi02pOi2iwZ7Vnnc+sTb/nViYMPtrKoUTKmjqVh3ZdmrFLfL/Vwb2v6NDdn14UMAqNzOBGby/azGWw/m8Hi/XFsmu6Ns3ll8hISn8fs7VHoKLR4f2AzHvKyxMlMD0NdBVpaWsz7N4blh+JVvv5CCCGEEJomiUYjcbr6oHjpFh64rxeZWsi55AJsjHVZNcFLZWQhOqOolitBodCid3Pz6tWlCkrKWR2YxNx/Y3h3exTD2lrVSB7sTPV4sosDT3ZxACA8KZ+XN0USnlTA8sMJzH7IrU4x74/MuqXJ4PVJNOoTr5OZPpfSiniyi0ODzmNwMKss17qSWay2vai0guTckhrnVjE31OExXzse861M9qIzinjzz0sEXM5h7u4rrBjXCoAdZ9NRKmF6Nwdm9FJdjvJGX38hhBBCCE1qOhsj3GP6e1Y+3G86k0bRDUpebiazsHJ3XHtTXbXlS5vPqO6qWhsjPW1e6OOMo5keRWVKLqXf+CHV28GYp7pVPsSfTcqv8302TPMm/qMe9f7vdtUW74CWFgBsC0+vV3+6V1emqpoP8V/d3SsnnW8NS6OsXPWcP0JSUSorS70czW48D8PdyoCX+rpcjf3akqRZV7/+TmquT88v5dClrJu/ECFuQf/+/eu907O4+/j7+6OlpaWxeSZz5sxBS0tL7RLKQoi7nyQajWSQlxXeDkbEZhXz4saL5BSV1WjPKy7nUFT2Tftpbm2AQgsupBRWTz6u8ltwClvC1Cca3x5JID5b9ZP20/F5pOSVoNACp6ufsh+OymZPRKbKw3J5hbJ6InVjriJVX/WNd5KfPU7mevwRksqifbEUlqjOZ4jJLGLj6dQax6pGISJrmRszvK01TuZ6xGQWM+/fK1Rcl5BEpBSwaH8sADN6XhuJCEvMZ2tYGoWlqjHsvpChEnvVxPQNp1OrJ/5D5ffPa1sukV0kczOEEEII0TRJ6VQjUSi0WDXBi8d/OseOcxkcjMqmq5sppvraJOSUEJ6UTwcnk5sucWttrMuULg6sPp7Eo/7hdHc3w85El/PJBZxPKWRmH2eWH4pXue6rg3F88s8VWtoa0tLGED0dLRKySwiKzaVCCTN7O2F3db+Gc8kFzNkZjZmBNj6Oxtib6FFYWrnPR3JuKXYmurzQu3FXkqqP+sZrrK/NTxNbM2XteRbvj+PHwCTa2BvhYKpHXkk5F1MLic4ooqOLCWM7XNvJu38LCwx1Few4l8GYH8NoZmmAtkKLgV6WDGxthYGugm8fbcXkX87xbUAiO89n0MHJhKzCMgKicygtVzK2gw2TOl+bCxOXVczzf1zEUFdBO0djnMz1KClXEp6Yz5XMYkz0tXnjuj07xne0Y9WxREIT8+nx1Sm6upmhVCo5diUXPW0tJnS0ZX1wzQRJCCHqavTo0XTv3h1z87otty6EEPUhiUYjcrM0YNeM9vwYmMiOsxkEXsmhXAl2Jro81MqS8R3tbt4J8PEQd9rYG/FTUDIh8XnoKrRo52TCLwOb4WljqDbR+GyYBwcvZXMmIY+A6GyKSiuwM9XjYS9LpnRxoN91+2s87GVJTlEZx67kEJ1RxMnYXIz0tHE212dyZ3ue7OJQY6dqTbuVeNvYG/Pv8x1YczyZXRcyCEvM52RsLlbGujiZ6fFIO2eGta25/K2dqR5rJrbmy/1xhCflczwmF6USHM30GNjaCgA/V1P+ea4Dyw/Fsz8yi7/PZWCgq8DPxYSJne0Z3c6mxr4cnVxMmP2QG8eic4hMK+RMYj562lo4menxbE9HpndzrDGiYWGow9/PtGfh3hgOXR3JsTbWZWgbK954wJVfgpIb8Z0WQtzrzM3NJckQQjQaSTQamYm+Ni/1damuv7+RDdO81R5XKLSY2NmeiZ3t1barm98wpr0tY9rbqjlblbuVgdqdr5uqW43XzECHF/s682Lfuo/O9PIwp5fHjX8Ju1joM39E8zr1Z2eqx8w+zvXaa8TGRJeFI1uobXt9gOtd9bUTmpWfn88333zDxo0bOXfuHMXFxTg6OuLn58e0adMYOnToTftITU1l3bp1/P3331y4cIHExET09fVp06YNkydPZsaMGWhrq+4ddPz4cT7//HMCAgJISUnByMgIW1tbunbtyv/+9z8eeOCB6nOLiopYsmQJv//+OxEREZSWlmJlZYW7uzsPPvgg7733HgYGBir30ITu3bsTGBjIli1bGDVqlNpz3njjDRYtWsTrr7/OF198UaNt165drFixgsDAQDIzM7G2tqZ///688847tGvXrsa50dHReHh40KxZMyIjI1myZAk///wzkZGR6OrqkpWVBcCFCxeYO3cu+/fvr/76WFtb07FjRyZNmsTYsWOr+/T392fatGlMmTIFf39/ldhjY2P58ssv2blzJ1euXEFbWxtnZ2cGDBjA888/j4+PT43zw8PDWbBgAfv27SMlJQVTU1O6du3Kiy++yJAhQ+r9/m7fvp3ly5dz4sQJcnJysLe354EHHmDWrFm0adNG5Xx3d3euXLnC5cuXCQkJ4auvviIkJISsrCyCg4Px9fWtdwxCiFsniYYQQtwHrly5wqBBg7hw4QImJib07t0bc3NzYmNj+fvvv0lNTa1TorFr1y5eeeUVXFxcaNmyJd27dycpKYmjR48SGBjI7t272bx5c42RvN27dzNs2DBKS0vp2LEjvXr1orS0lLi4ODZs2ICZmVl1olFRUcGwYcPYu3cv5ubm9OvXD3Nzc5KTk7lw4QKfffYZM2fOxMHBodHeq/qYOnUqgYGB+Pv7q000ysvLWbt2bfW513v55ZdZunQpOjo6dOnSBRcXFyIjI1m/fj1btmxh48aNar8mSqWSsWPHsnPnTvr27Uvbtm2JiYkBIDQ0lF69epGbm0vr1q0ZMWIEWlpaxMfHs2vXLgoLC2skGjfyzz//8Oijj5KTk4OTkxODBg1CoVAQFRXFypUrsbOzq5Fo/Pnnnzz22GMUFxfj7e1Nnz59iIuLY9euXfz999+89957fPLJJ3V9a5k9ezbz589HoVDQu3dvnJ2dOXPmDD/99BO///47GzZsYNiwYWqvXbRoEcuXL6dr164MGTKE2NhYFAqZlirEnSaJhhBC3OMqKioYPXo0Fy5cYNSoUaxevRpLy2tLPefm5nL8+PE69eXn58exY8fo1q1bjeOJiYkMHTqUrVu38vvvvzN+/Pjqtnnz5lFaWsq6det4/PHHa1yXnp5OdHR09d8PHz7M3r176dSpEwcPHsTY2Li6TalUEhAQgJmZWZ1fe//+/Tlw4ECdz7/+XnUxYcIEXn31VbZv305aWho2NjY12nft2kVSUhJ+fn41Hsq//fZbli5dire3Nxs2bKB169bVbVu2bOHRRx9l4sSJREVF1fhaAdVJRXh4OJ6eNZcF//LLL8nNzWXu3LnMnj27RlteXh6hoaF1el0xMTGMGzeO3NxcPvnkE2bNmoWOjk6N9tTUa/PDkpKSmDx5MsXFxSxatIjXXnutum3//v0MGzaMTz/9lN69ezNo0KCb3n/Hjh3Mnz8fY2NjduzYQd++favbPv/8c9566y0mTpxIREQEdnaqZcjffvst27ZtqzUREULcGZJoCCHEPe7PP/8kODgYd3d3fv31VwwNDWu0m5qa8uCDD9apL3XlKgCOjo4sXLiQgQMHsmHDhhqJRnJy5VwidaUz1tbWWFtbq5zbp0+fGkkGgJaWFr169apTnFUGDx6Mu7t7va6pDwsLCx555BHWr1/PunXreOmll2q0V5UjXT+aUV5ezscffwzA77//XiPJAHjkkUd49tlnWbFiBb/88gsvvviiyn3nzZunkmTAjd9rExMTevSo21LiixcvJjc3l/Hjx/Pee++ptLu5ueHmdm1vpe+//56cnBx69epVI8mAymTvxRdfZMGCBXzxxRd1SjQWLVoEVI76XJ9kALz55pts2rSJY8eO8f333/Puu++qXD9t2jRJMoRoAiTREEKIe9zOnTsBmDhxokqScSvKysrYu3cvR48eJSkpiaKiIpRKJbm5uQBERETUOL9r166cPXuWJ554gnfffZfu3burnccB0KlTJ7S1tfnhhx9o1aoVY8eOxd5e/fy0upg1a9YtX1tXU6dOZf369fj7+9dINDIzM/nzzz/R09PjiSeeqD4eEhJCYmIi3t7etG3bVm2f/fr1Y8WKFRw9elRtojF69Gi113Xt2pUdO3YwY8YMPvnkE/r27Yu+fv2XJ6/6nvnf//5Xp/OrRo2mTJmitn369OksWLCAw4cPU15eXuvXHyq/v44cOQKolptVmTZtGseOHWP//v1qE40xY8bUKW4hROOSREMIIe5xV65cAVD55PxWRERE8Mgjj3Du3Llaz8nJqbnnz7x58zh9+jR///03f//9N0ZGRnTu3JkHHniAyZMn07z5tcUUWrRowZdffskbb7zBCy+8wAsvvEDz5s3p2bMno0aNYvTo0Td8SNWEhx9+GBcXF4KDgwkNDa2exP3bb79RXFzM2LFjsbKyqj4/KioKqCx9un4uizrXlydVsbOzqzVhfPPNNzl06BB79uxh4MCB6Ovr4+vrS79+/Zg0aZLKBPPa1Pd7Jj6+cvVDDw8Pte3u7u4oFAqKiopIT09XW+5UJT09neLiYhQKBc2aNVN7TtX3TNV9/6u264QQd5YkGkIIcY+72cNsfYwbN45z584xcuRI3nrrLdq0aYO5uTna2tpERETg5eWlMr/BwcGBoKAg9u/fz+7duzly5AiBgYEcPHiQTz/9lJUrVzJ9+vTq81988UUeffRRtmzZwuHDhzl8+DC//PILv/zyC76+vhw4cKDO8zTmz5/P+fPn6/061a3AVBuFQsHkyZOZN28e/v7+1WU/a9asAVQ/lS8vr9xo09nZmYceeuiGfat70L/RqJSRkRH//vsvgYGB7Ny5kyNHjlRP1F+4cCEfffQRH3zwwU1f061+zzTk99rt9NcQI3dCiNsniYYQQtzjqmrpL1y4cFv9nD9/ntDQUOzs7Ni0aZPKyEJkZGSt1yoUCh544IHq1aXy8/NZvnw5s2bN4oUXXmDcuHE1kgcHBwdmzJjBjBkzADh9+jSTJ08mJCSE+fPnM3fu3DrFvHPnzluaDF6fRAMqk4l58+axdu1aFixYwKVLlzh27BgODg4MHjy4xrmurpVLUjs6Otb7PnXVrVu36gn7JSUlrFu3jqeffpo5c+Ywfvx4vLy8bni9m5sbFy5c4MKFC7i43Hx5dmdnZ86fP09UVJTa+T7R0dFUVFRgYGBQY3RHHWtra/T19SkuLiY6OpqWLVuqnFM1KuTs3HQ2kxVCqJK13oQQ4h5XNfn2l19+oaio6Jb7ycjIAMDJyUlt+VLVMq51YWxszNtvv42LiwtFRUU3TYI6dOjAyy+/DFQmHXW1f/9+lEplvf+rr1atWtGzZ0+Sk5PZuXNn9WjGxIkTa6zWBJXzKKytrQkODr5hctZQ9PT0mDp1Kt27d0epVHLmzJmbXlP1PbNq1ao63aNfv34A/PTTT2rbV69eDUDv3r1V3o//0tHRqZ70X1t/VQla//796xSfEEIzJNEQQoh73KhRo/D19SU6OpqJEyeSnZ1doz03N5c9e/bctJ+WLVuiUCgICwvj4MGDNdpWr17Nr7/+qva6L774gtjYWJXjQUFBJCYmolAoqj/l37t3Lzt27KCsrKzGueXl5ezYsQNouvX3VSVSP/74Iz///HONY9fT1dXl/fffp7y8nEceeUTt0sIlJSX8+eef9S77+vrrr9UmbVFRUYSHhwN1e/9ee+01TExMWL9+PfPmzasu96oSGxvLyZMnq//+9NNPY2pqyuHDh1m6dGmNcw8ePMiyZcsAeP311+v0OqpWrlqyZEn1xPAqixcv5ujRo5ibm9d5sroQQjOkdEoIIe5xCoWCTZs2MXDgQDZt2sTu3btrbNgXEhJC586db7rEra2tLc8//zzLly9nwIAB9OvXDwcHB0JDQwkLC2P27NnMmzdP5bpPP/2UN998kzZt2tCmTRv09fWJjY0lICCAiooKZs2aVb0B35kzZ3j11VcxNzenU6dOODo6UlBQQGBgIImJiTg4OPD22283yvt0u8aPH8/LL7/M5s2bAVT2zrjeyy+/zJUrV/jyyy/p1q0b7du3p0WLFujp6REfH09wcDD5+fn8/fff9ZrE/91331VPoPfx8cHExISkpCQOHz5MSUkJEyZMoGvXrjftp1mzZvz+++889thjvPPOO6xYsYJu3bqhpaVVvev2+++/j5+fH1BZ6vbzzz9XvwerVq3Cx8eHhIQEDh06REVFBe+9955KGVlthg0bxttvv82CBQvo27cvffr0wcnJqfp7zcDAgF9++eW2ViQTQjQ+STSEEOI+4OHhwalTp1i2bBkbN27k0KFDlJeX4+DgwPDhw5k2bVqd+vnqq69o374933zzDcePH0dXVxc/Pz8+//xzWrdurTbRWLFiBbt37yYoKIh9+/ZRWFiIo6MjI0aM4Pnnn2fgwIHV544YMYKsrCwOHjxIZGQkAQEBmJiY4ObmxowZM3juueewtbVtsPelIZmZmTFmzJhadwL/r8WLF/PII4/wzTffcOTIEbZv346hoSGOjo4MHz6ckSNH0qdPn3rF8Omnn7Jt2zYCAwMJCAggJycHe3t7+vXrx9NPP13nXcGhci+OM2fOsGjRInbt2sX27dvR19fHxcWF5557jscee6zG+aNGjSIoKIgFCxawd+9eNmzYgKmpKQMHDuTFF1+s087z15s/fz69e/dm+fLlnDhxgoCAAOzs7Jg8eTKzZs2qdWlgIUTToaW8lWLUu9CpU6fw8/Nj2VhPWtrIahRC3I6LaYW8uDGSkydP0qlTJ02Hc8dU/Ry53163EOLOk5834l5w34xo2NjYYGRowIsbG3/inRD3AyNDA2xsbDQdhhBCCCGaqPsm0XBzc+Pc+QukpaVpOhQh7gk2NjbVy6YKIYQQQvzXfZNoQGWyIQ9GQgghhBBCND5Z3lYIIYQQQgjR4CTREEIIIYQQQjQ4STSEEEIIIYQQDU4SDSGEEEIIIUSDk0RDCCGEEEII0eAk0RBCCCGEEEI0OEk0hBBCCCGEEA1OEg0hhBBCCCFEg7uvNuwTQoiGcO7cOU2HIIS4x8nPGXEvkERDCCHqyMbGBiMjIyZNmqTpUIQQ9wEjIyNsbGw0HYYQt0xLqVQqNR2EEELcLWJiYkhLS9N0GPelsrIypk+fTm5uLr/++isGBgaaDumeVFRUxOOPP46ZmRk//vgj2tramg7pvmVjY4Obm5umwxDilsmIhhBC1IObm5v84teQBQsWcO7cOY4cOUL37t01Hc49bf369fTu3Zt9+/bx1ltvaTocIcRdSkY0hBBCNHnh4eF06tSJV155hQULFmg6nPvCW2+9xVdffUVwcDBt27bVdDhCiLuQJBpCCCGatNLSUnr06EFBQQGnTp2Skqk7pKioiI4dO2JiYsLRo0fR0ZEiCCFE/cjytkIIIZq0hQsXEhwcjL+/vyQZd5CBgQFr1qzh1KlTLFy4UNPhCCHuQjKiIYQQoskKDQ3Fz8+PN954g7lz52o6nPvS7NmzWbRoESdPnqRdu3aaDkcIcReRREMIIUSTVFpaSrdu3SgpKeHkyZPo6+trOqT7UnFxMX5+fujr63Ps2DF0dXU1HZIQ4i4hpVNCCCGapHnz5nHmzBnWrFkjSYYG6evr4+/vz+nTp5k/f76mwxFC3EUk0RBCCNHkhISE8MknnzB79mz8/Pw0Hc59r3PnzsyePZuPP/6YkJAQTYcjhLhLSOmUEEKIJqWkpISuXbuiVCo5ceIEenp6mg5JUPl16dy5MwqFguPHj8vXRQhxUzKiIYQQokn57LPPCA8Px9/fXx5mmxA9PT38/f0JDw+XiflCiDqRREMIIUSTcerUKT777DPee+89OnbsqOlwxH906tSJd999l88++4xTp05pOhwhRBMnpVNCCCGahOLiYjp37oyOjg7Hjx+X1Y2aqJKSErp160Z5eTknTpyQifpCiFrJiIYQQogm4ZNPPuHChQusWbNGkowmrKqE6vz583zyySeaDkcI0YRJoiGEEELjTpw4wfz58/nggw9o3769psMRN9GhQwfef/995s+fT1BQkKbDEUI0UVI6JYQQQqOKiorw8/PD0NCQo0ePymjGXaK0tJTu3btTVFTEqVOnpIRKCKFCRjSEEEJo1Jw5c4iMjMTf31+SjLuIrq4ua9as4eLFi8yZM0fT4QghmiBJNIQQQmjMsWPH+Pzzz5kzZw4+Pj6aDkfUk4+PDx999BELFy4kMDBQ0+EIIZoYKZ0SQgihEYWFhXTq1AlTU1MCAgLQ0dHRdEjiFpSVldGzZ09yc3MJDg7GwMBA0yEJIZoIGdEQQgihER988AGXL1/G399fkoy7mI6ODv7+/kRFRfHBBx9oOhwhRBMiiYYQQog7LiAggEWLFvHJJ5/Qtm1bTYcjblPbtm355JNP+OKLLwgICNB0OEKIJkJKp4QQQtxRBQUF+Pr6Ym1tzeHDh9HW1tZ0SKIBlJeX07t3b9LT0wkJCcHIyEjTIQkhNExGNIQQQtxR7733HrGxsfj7+0uScQ/R1tbG39+f2NhY3nvvPU2HI4RoAiTREEIIccccOnSIJUuW8Nlnn+Hl5aXpcEQD8/Ly4tNPP2XJkiUcPnxY0+EIITRMSqeEEELcEfn5+XTo0AEHBwcOHDggoxn3qPLycvr27UtKSgohISEYGxtrOiQhhIbIiIYQQog7Yvbs2SQkJLB69WpJMu5h2trarF69mvj4eN555x1NhyOE0CBJNIQQQjS6/fv3s2zZMubNm0fLli01HY5oZK1atWLevHksXbqUAwcOaDocIYSGSOmUEEKIRpWXl0f79u1xcXFh//79KBTyGdf9oKKigv79+xMXF8eZM2cwMTHRdEhCiDtMftoLIYRoVG+//TbJycmsXr1akoz7iEKh4McffyQ5OZlZs2ZpOhwhhAbIT3whhBCNZs+ePXz99dcsXLiQFi1aaDoccYd5enqyYMECVqxYwd69ezUdjhDiDpPSKSGEEI0iJyeHdu3a0bx5c/bs2SOjGfepiooKHnzwQS5fvkxoaCimpqaaDkkIcYfIT30hhBCN4s033yQ9PZ0ff/xRkoz7WFUJVVpaGm+++aamwxFC3EHyk18IIUSD++eff/juu+/44osv8PDw0HQ4QsM8PDz4/PPPWblyJbt379Z0OEKIO0RKp4QQQjSo7Oxs2rVrh5eXF//88w9aWlqaDkk0ARUVFQwcOJCIiAjCwsIwMzPTdEhCiEYmIxpCCCEa1Ouvv05WVharVq2SJENUUygU/PDDD2RmZvL6669rOhwhxB0giYYQQogG8/fff/PDDz+waNEimjVrpulwRBPTrFkzFi9ezKpVq9i5c6emwxFCNDIpnRJCCNEgsrKy8PHxwdvbm507d8pohlBLqVQyePBgwsPDCQsLw8LCQtMhCSEaiYxoCCGEaBCvvvoqubm5UjIlbkhLS4tVq1aRm5vLa6+9pulwhBCNSBINIYQQt23btm34+/uzZMkSXF1dNR2OaOJcXV358ssvWb16Ndu3b9d0OEKIRiKlU0IIIW5LRkYGPj4+dOzYkW3btslohqgTpVLJsGHDCAkJITw8HEtLS02HJIRoYDKiIYQQ4ra8/PLLFBQU8N1330mSIepMS0uL77//noKCAl5++WVNhyOEaASSaAghhLhlW7du5ZdffmHp0qU4OztrOhxxl3F2duarr77i559/5s8//9R0OEKIBialU0IIIW5Jeno63t7edO3ala1bt8pohrglSqWSkSNHEhQURFhYGNbW1poOSQjRQGREQwghxC158cUXKSkpYeXKlZJkiFumpaXFypUrKS4u5qWXXtJ0OEKIBiSJhhBCiHrbuHEjv/76K8uWLcPR0VHT4Yi7nJOTE0uXLmXdunVs2rRJ0+EIIRqIlE4JIYSol9TUVLy9venVqxebNm2S0QzRIJRKJaNHj+bo0aOEh4djY2Oj6ZCEELdJRjSEEELUy8yZM6moqODbb7+VJEM0GC0tLb799lvKysqYOXOmpsMRQjQASTSEEELU2e+//87vv//OihUrsLe313Q44h7j4ODAihUr+O233/jjjz80HY4Q4jZJ6ZQQQog6SU5Oxtvbm/79+/PHH3/IaIZoFEqlkkcffZQDBw4QHh6OnZ2dpkMSQtwiSTSEEELclFKpZNy4cRw8eFAe/kSjS0lJwdvbm379+klSK8RdTEqnhBBC3NRvv/3Gpk2b+PrrryXJEI3Ozs6Or7/+mo0bN/L7779rOhwhxC2SEQ0hhBA3lJSUhLe3Nw8//DDr16/XdDjiPjJ+/Hj+/fdfwsPDcXBw0HQ4Qoh6kkRDCCFErWTJUaFJaWlpeHt706NHDzZv3iwlVELcZaR0SgghRK3Wrl3L1q1b+fbbbyXJEHecjY0N33zzDVu3bmXdunWaDkcIUU8yoiGEEEKthIQEvL29GTp0KGvXrtV0OOI+9sQTT7Bz507Cw8NlJ3oh7iKSaAghhFChVCoZOXIkQUFBhIWFYW1tremQxH0sPT0db29vunbtytatW6WESoi7hJROCSGEUPHTTz+xbds2Vq5cKUmG0Dhra2tWrlzJX3/9xc8//6zpcIQQdSQjGkIIIWqIi4vDx8eHkSNH8tNPP2k6HCGqTZ48mb/++ovw8HCcnZ01HY4Q4iYk0RBCCFFNqVQydOhQTp8+TXh4OJaWlpoOSYhqGRkZ+Pj44Ovry/bt26WESogmTkqnhBBCVFu9ejU7d+7k+++/lyRDNDlWVlZ89913/P333/j7+2s6HCHETciIhhBCCABiYmJo164dY8eO5ccff9R0OELUatq0aWzatImwsDBcXV01HY4QohaSaAghhECpVDJo0CDOnj1LWFgYFhYWmg5JiFplZWXh4+ODt7c3O3fulBIqIZooKZ0SQgjB999/z+7du1m1apUkGaLJs7Cw4Pvvv+eff/5h1apVmg5HCFELGdEQQoj7XHR0NO3atWPChAl8//33mg5HiDr73//+x2+//UZYWBjNmjXTdDhCiP+QREMIIe5jFRUVPPzww1y8eJGwsDDMzMw0HZIQdZadnU27du1o1aoVu3fvlhIqIZoYKZ0SQoj72MqVK9m7dy8//PCDJBnirmNubs4PP/zAnj17WLlypabDEUL8h4xoCCHEfSoqKor27dszadIkvv32W02HI8Qte/bZZ1m7di2hoaF4eHhoOhwhxFWSaAghxH2ooqKCBx54gOjoaEJDQzE1NdV0SELcstzcXNq1a4eHhwd79uxBoZCCDSGaAvmXKIQQ96EVK1Zw4MABfvzxR0kyxF3P1NSUH374gf379/PNN99oOhwhxFUyoiGEEPeZyMhIOnTowLRp01i+fLmmwxGiwbzwwgv4+/tz5swZWrRooelwhLjvSaIhhBD3kYqKCvr160d8fDxnzpzBxMRE0yEJ0WDy8vJo3749Li4u7N+/X0qohNAw+RcohBD3kaVLl3L48GFWr14tSYa455iYmPDjjz9y6NAhli1bpulwhLjvyYiGEELcJyIiIujQoQPPPPMMX331labDEaLRvPTSS6xatYrTp0/TsmVLTYcjxH1LEg0hhLgPlJeX07dvX1JSUggJCcHY2FjTIQnRaPLz8+nQoQMODg4cOHAAbW1tTYckxH1JSqeEEOI+sGTJEo4ePcrq1aslyRD3PGNjY1avXk1AQICM3gmhQTKiIYQQ97jz58/j6+vL888/z+LFizUdjhB3zKuvvsq3335LcHAwrVu31nQ4Qtx3JNEQQoh7WFlZGb169SIrK4vg4GCMjIw0HZIQd0xBQQG+vr5YW1tz+PBhKaES4g6T0ikhhLiHLVq0iKCgIPz9/SXJEPcdIyMj/P39CQwMlNE8ITRARjSEEOIedfbsWTp27MjLL7/MwoULNR2OEBrzxhtvsHz5ck6dOkXbtm01HY4Q9w1JNIQQ4h5UVlZGjx49yMvLIzg4GAMDA02HJITGFBYW0rFjR8zMzAgICEBHR0fTIQlxX5DSKSGEuActXLiQU6dO4e/vL0mGuO8ZGhri7+/PyZMn+fzzzzUdjhD3DRnREEKIe0xoaCh+fn68/vrrzJs3T9PhCNFkzJo1i8WLF3Pq1Cl8fHw0HY4Q9zxJNIQQ4h5SWlpKt27dKCkp4eTJk+jr62s6JCGajKKiIvz8/DA0NOTo0aPo6upqOiQh7mlSOiWEEPeQ+fPnc+bMGfz9/SXJEOI/DAwM8Pf3JyQkhAULFmg6HCHueZJoCCHEXSgpKYnS0tIax0JCQvj444+ZNWsWnTt31lBkQjRtXbp04e233+bjjz/m9OnTmg5HiHualE4JIcRdRqlUYmtry1dffcXEiRMBKCkpoWvXrlRUVHDixAkZzRDiBoqLi+ncuTM6OjocP35cSqiEaCQyoiGEEHeZpKQk0tPTMTExqT722WefER4eLiVTQtSBvr4+a9asITQ0lLlz52o6HCHuWZJoCCHEXeby5csAeHh4AHDq1Cnmzp3LO++8Q6dOnTQZmhB3jU6dOvHOO+/w6aefEhwcrOlwhLgnSemUEELcZdatW8fEiRPJzs5GX1+fLl26oFAoOH78OHp6epoOT4i7RklJCV26dEGpVBIUFCT/foRoYDKiIYQQd5nLly9jZWWFmZkZn3zyCefOnWPNmjXVD0mXL18mNjZWw1EK0fTp6emxZs0azp07xyeffKLpcIS450iiIYQQd5nLly/j4eHBiRMnmD9/Ph988AEdOnQgPT2dl156iVatWjF//nxNhynEXcHX15f333+fefPmERQUpOlwhLinSOmUEELcZR566CHMzMy4cOECBgYGHDp0iO+//56PPvqIsrIy3nnnHV555RUMDAw0HaoQdwXZ6FKIxiEjGkIIcZe5fPkyCQkJREREMG3aNDp27Mhrr73GuHHjuHjxIrNmzZIkQ4h60NXVxd/fn4iICD766CNNhyPEPUNGNIQQ4i5SXl6Ovr4+5eXltGjRgkuXLvHggw+yePFi2rdvr+nwhLirffbZZ3zwwQccPXqUrl27ajocIe56kmgIIcRd5OLFi7Rq1QqAli1b8sUXXzBixAi0tLQ0HJkQd7+ysjK6d+9Ofn4+wcHBMjIoxG2S0ikhhLiL6OjoYGJiwttvv01YWBgjR46UJEOIBqKjo8OaNWuIioriww8/1HQ4Qtz1ZERDCCGEEOI68+fP59133+Xw4cP06NGj+vj+/fvJzs5m1KhRGoxOiLuHJBpCCCGEENcpKyujV69eZGVlERISgqGhIQDPPPMMp06dkmVwhagjHU0HIER9xcTEkJaWpukwhBCimo2NDW5ubpoOQzQQHR0d/P396dixI++99x6LFi0CoFmzZmzcuFHD0Qlx95BEQ9xVYmJi8GrTmqKCQk2HIoQQ1QyMDLlw7rwkG/eQNm3a8Omnn/LWW28xevRoevfujYeHBxkZGeTk5GBmZqbpEIVo8iTREHeVtLQ0igoK8Vk+AeOWdpoORwghyL+YQtjM9aSlpUmicY959dVX2bRpE9OmTeP06dN4eHgAEB0dLctJC1EHkmiIu5JxSzvM2jtrOgwhhBD3mPfeew9nZ2eefvppdHR0WL16Nb6+vrzzzjvMmjULqNw0UxINIW5OlrcVQgghhLiqtLSUF154gQ4dOrBr1y68vLyYO3cuX331FefPn8fAwIDLly9rOkwh7gqSaAghhBBCXLVgwQKCgoKwsbFh8ODBDB06lIcffpjevXvz1FNP4ebmJomGEHUkiYYQQgghxHU6derE/v372bhxIxcuXMDX1xcPDw8SEhIoLi4mOjpa0yEKcVeQREMIIYQQ4j+0tLQYM2YMZ8+eZd68eWzduhUtLS2uXLlCWFiYpsMT4q4giYYQQgghRC309fV58803uXjxIk8++SQAV65c0XBUQtwdZNUpIYQQQoibsLOz49tvv2XChAns2rVL0+EIcVeQREOIJi4j4BInx36HZY/mdN70bJ2v2+34NgAPJy5orNA0KmjMSjKPRuG38RmserZo0L7Lcos40utzDF0t6bp9ZoP23RBCpq4h43AkvY68ib79vb9pWNXXujbW/VvR6den6t1vRXEZ0d8cJGlLCIVXMlAY6GDewQW3Z/tgM8DrdkIW97D+/fvTv39/TYchxF1BEg0hGkjCb0GEv/IHjo/54fPVY5oO5652q8lVQ4la/C8lqXm0++aJO37vumjx1kBS/zlH5LydeC+5f77XrPu3Qs/OVOW4SRuHevdVXlBC0LjvyAmORdfaGJuHWlOWXUjG4UukH7hIqw+H0WxG34YIWwgh7luSaAghxHUKYzOI+SEAi24eWPVq2JGShmLa1hG7Id4k/H4Kt2f6YNrWUdMh3RHuL/ZvsNGri5/9TU5wLJY9muP781R0jPUByD4VQ9C474j4eAeWvVpg1k42Bq0SExNDWlqapsMQ4p5gY2ODm5ubpsNodJJoCCHEdWJXH0VZWo7zE100HcoNOT3emZQdYcT+cIS2i8Y16r2UFRVkBkRh1duzUe9zp5RmFhD3cyAotPBe8mh1kgFg3skN9xf6EfXFv0Qv20f77yZpMNKmIyYmhtZebSgsKtB0KELcEwwNjDh/4dw9n2xIoiHuadfPU4j7OZC4n46RH5mKtqEult09aPHWQExaqy+7KC8oIXZ1AMl/hZJ/KRVlWTmGblbYj2hPs+f61ng4OdRlPkVxmQAk/n6SxN9PVrddX0qVdyGZpK2nyTh0kcLYTEozCtAxNcDM1wW3p3ph88CdqQuvKC0nft0JkjYFk3chmYqiUvSdzLF9uA0eLw5Az8akxvnXl4W1/mwUUYv/JXlbKMXJOehZGWM7sC2eswaha2mkci+lUkn8L8evvvcpaBvpY9nNneZvPkzumXiVcrPr6/Ezj0ZVfw2BWkupck7HcWnxv2SfuEJ5QQlGLWxxe6onzk90rdf7Ul5USsL6ILSN9LAf3q7W84ris7jy3SHS90VQGJeJlrYCAwczLHu1wHVqj+rvqcLYDA53XYCBiyW9A98i5rvDxP96gsKYDHQtjbAf0R7PtwehbaRHaVYBUYv+JWXnWYpTcjBwtsD1ye61lu/YDPBCz9aExM0htPxgGLrmhvV6rXWRczqOxM0hJG89TXFSzj0z3ydtz3mUpeVYdHXH0M1Kpd1xTEeivviXtD0XqCgtR6GrrYEom5a0tDQKiwoY67kMG8OWmg5HiLtaWuFFNka+SFpamiQaQtwLLnzwFzE/HMGymwe2g9uSGxpPyt/hpO2PoNOvT2HZzaPG+UUJWZx6/AfyI1LQtTbGws8NhYEu2SGxlQ+Df4fTeeMz6FpUPljbD/ch+2QsWSeiMXS3xqKre3Vf1//5yneHSFh3AuOWdpi2dUTH1IDCKxmk771A+t4Ld6QuvCy3iOBJq8k6Ho2OmQFm7Z3RMTMkJzSemO8Ok7I9jM6bn8XQVfUBrCyniBMjv6Y4KQeLbh6YtHYg63g0cT8dIzs4lq7bX1B5KDv35ibi1x5HS0eBZY/m6Fobk3M6juNDV+D8eGeVe1gPaIVCX4f0/RHo2Zpgfd2kXGNPW5Xz0/dFcGXlIYxb2GLVryVF8Vlkn7jC2dc3UppThHs93s+swMuUZhZg1dcTbSM9teek74/gzDO/UJZbjL6DGTb9W4FCi8IrGcT9HIiejYna5DX0+V9J230ey57NMfKwIfPYZWK+O0z+xRTarXic48NXUJZXjEVXd8qyC8k8GkXER9upKC7D4+UHVPrT0lZg2bM5yVvPkHHoIvbD29f5dd5IweU0EjeHkLQphIJLqQDomOrj+Jhfg/R/O1J2hJOyI5yKkjL0Hcyw6tkCy+4eN7/wP3LCEgAw83VR227kYYOOhSFlWYUURKVi4lX/OSD3KhvDljiZ1J6ECyHE9STREPeFuF8C6bzhGSx7NAcqP2WPnLuT6OX7CXv+V3oeeRNtA93qtjPPriU/IgXX6T1p+d5QtA0r28oLSzn35kYSNwZz4cNt1Z/Ct/pwOAm/BZF1IhqLru61TgZ3HNuJ5q88oPIQn30qhlMTVnFx7k7sR7bHwMmikd4JOPvmRrKOR2M3vB1tPx9TnSwpyyuInLeT6BUHCH/5D7UjB6k7w7F5sDVd/nq+ekSnKCmHE8OWkxsaT/KfZ3Ac27H6/JS/w4lfexwdc0P8fn8as/aV9e7Kigoufvo3V745qHIPjxcHYO7nRvr+CIw97W46sT56+X7aLh6H8+PXSp0SN5wi7MXfuLz4X1yf7F5r0vBfmQGVIynmfs3UthfGZXL66V8ozyumxVsDcX+xPwod7Rrtpen5KtcVxWWi0Neh55E3MXCoXCWqKD6LYw9/Rfq+CILGrMSkrSM+y8ZXfx+m/nuOkMn+XF6+H7ene6t9DRZ+zSoTjcOXbivRKE7JJXnraRI3h5ATHAuAwkAXu+HtcHjEF5sHvarjul7VpP36av76Q7R44+F6Xxf7w5Eaf49iNxZd3Gn3zeMYOFvUuZ+imAwADF0saz3HwMmCvKxCCmMyJdEQQohbJImGuC+4TulenWRA5Y6vnrMGkfzXGQqvZJCyPaz6ATl97wWyg2Iw93PD65MRaCmu7WupbahLm4VjSD9wkaRNwXh9NLz6Qb0urHo2V3vcvJMbrtN6cnnpPlJ3ncV1Ws9bfKU3lnchmeStZzBwscRn6fjqBAoqPyH3fGcwaXsvkHk0itxziZi2qTnJWNtYj7aLx9UoGzNwMMN1ek8ufvo3GYcjayQaMVcfDJs926c6yQDQUijwnD2YpK2nKU7Ivq3XZDfMp0aSAeA4rhOXl+4j/2IKOafjanztbyQ3PBEA45Z2attjVh6iPK8Y+1Htaf7qgyrthi6WtT68tv50ZHWSAWDgbIHj2I7ErDpCYVwmfhueqfEwb/tQG0zaOpJ3NrHW12DcqjLO3Kuf0NdHWV4xKTvCSNwYTOaRSyjLK9DSUWD9gBcOj/hiN8QbHRP9G/ahb2t6SyMdpt5O9Trfops7jo92wqKbBwaO5pSk55EddIXIebvIOhHNyfHf0/2fl+ucUJbllwCguMH52saVbWV5xfWKVQghxDWSaIj7guPYTirHtLQVODziy+Wv9pIZcKn6ATlt7wWg8gH2+iSjiraRHmYdXEjbc56ckDis+7eqVyxlecWk/XuO3PBESjMLqCgtBypLVgDyLzXeqi5p+ypfm+3DrWskGVW0FAosunmQdy6J7KAYlUTDrL0L+mqWFzXyrHzgLU7KqT5WUVZOdlDl7rkOY3xVrlHoamM/rB0x3x++5dcDYPtwG7XHjT1tyb+YQnFyjtp2dUrS8gDQUzPXBCBtXwRAved+aOlqY9VHdSK1oYcNAGYdXNCzNlZpN/KwJu9sYq2voSrJLUnNq1c8Fz/7m5hVR6goKgUtLSy6uePwiC/2w9upjaM2xi1vPuLUEDzfHlTj71UJnfUDXgQOXErBpTRi1xzF/bl+jR6LEEKIupNEQ9wXDNzUf8ps4Fp5vCjx2qfqhVcqyyoufryDix/vuGG/JWrKZG4kZWc4Z1/bQGlm7Su3lOcV1avP+qh6bbGrjxK7+ugNz1X32morT9Exrfzku6K4rPpYaUZB5d8VWrWWghm4qD9eH7XFpG1qoBLTzZTlFl29Vv0n+UXxlRP+1c0VuRF9WxO0tFWTVp2rn5obOJqrvU7bWPV9rdF+9TWW5hTWK57skzGVSQbgNN6PZs/1xaSVfb36aAp0zQxx+19vLrz/J2l7LtQ50ah63ysKSmo9p/zqqMfNRnWEEELUThINIf5DWV4BVK5wVJWI1KY+D8pFCVmEPvcrFUWluL84AIfRHTB0tULbSBcthYK4nwM599YmlMrbif7Gql6baXvnWlfbqmLipebBU6F1azeu5TJ1I0b1dqsxqaFjVvngXp5bW7nMLd7rZq/zFl9D+dXEqL4rTrV8bwjxv54gZXsYCeuDSFgfhElbRxxGdcDhkQ5qV2JSJ/9iCpeX769v2NgN9sZuiHe9r1OnKukrTqp7CV7Vv+vCqyvFqVOUkAWA4U1+BgghhKidJBrivlAUm4mut+rDWFFs5YOG/nWfKBs4Vf7ZfkS7Bp0rkbr7PBVFpdgN86HlO4NV2gui0xvsXrWpGlmw6tWCVh8Ma9R76VoaoaWnjbKknOKEbLUPr4WxGY0aQ31VLetbUsuIk4GzBQWXUsm/lNaoE/brqmpk7L/LEd+MeSc3zDu50XruI6TtvUDSpuDqncYj5+3EvJMr9qM6YD+yQ415Jf9VnJpbYynnujJ0tWywRKPqa6VtVPeRh6pN+HJC4tS2F1xOoyyrEIWhLkbNbW4/SCGEuE9JoiHuC4mbQlQmoCrLK0jaehoAq+sm2lo/0Jr4dSdI/iu0XomG1tVlXZVlFWrby7IqH4jUPaBWFJeRsj20zve6VTYPeHFpwS5Sdobj+c7gGismNTSFrjYWfs3IPBpF0uYQlSVaK0rLSdkeVuu1UPt72VhM2zmT9u958iOS1bZb929FwaVU4tcdx1rNnIs7Le9qnKa3uHu1Qlcbu0FtsRvUtnpyeNLmEDIORZJ9KpaIj7Zj2c0Dh0c6YDdMdf6GVc8WGt9bI/nPM0DtS9WqY/Nga7R0tckKukJhTIZKEpy4KRgA24dao9CTX5NCvS9PdSOrOI5XOh7D0sD1tvvbHPkKIal/8EiLxXS0G98AETa8M6mbOZH8E8kF51Aqy7Ex9MTXbjxd7J9EoXVrI9QXM/dxNPE7EvLOUKYswlK/GT42o+jlNAMdhZQu3u0aoG5BiKYvzv8omYGXq/+uVCq59PluCqPT0Xc0w27YtXXh7Ya0xbS9M5lHozj71ia18ymKU3KJ+yWwxjF9h8qRkPyLKWpjqJownbI9lOLU3OrjFSVlnH93a/X8icZk1t4Z28HeFF5OJ/SZtdXlIdcrzSog7qdjVJSV3/b9XKdXJmrR3x6ssTKSsqKCSwt2URSven+49l4WRKc1SBx1ZdWrBVA5h0GdZs/2QdtYj+Qtp7m8dF91KVqVovgsck6r/5S8MVTFadWrbqtq3YiOiT5Oj/nR6den6BvyLl6fjsTc14XMo1Gce3szB30/ve173IqMgEtkBESh/E9NYXlBCRGf7CB1ZzhaOgrcnlL9UODko99xpPcXpOyomdDqWhrhMqkrVCgJf/UPyvKvlcpln4ohesUB0NLC/cUBjfOihLgLbYt6h42RM0nIO0Mz0640N+9LelEUOy6/y+8Rz1ChrP8HQ4fjv+aX85O4nH0ERxMfWlo8SH5pGntjF7I6fBwl5fWbfyaaHvmoRtwXnCd2JWjMSiy7e6Bvb0bOmXgKLqWiMNDFZ/njNZd5VSjwXf0kwZNWE/9zIEmbQzBt64iBswUVRaXkR6WRH5GCno0xLpO6VV9n4eeGnp0puaHxHBu0FBMve7R0tbHo0gznCV2wHdQGUx8ncsMSONLzcyx7NkdbX4esE1coyynC9aleKvsENAafpY8RMmVN5YaF+y5UvjZXS5RlFRReySDvXBLK8orKZUtvc8TDfng7nB7vTMKvQQQOWYZlz+boWZuQczqOooQsXKZ0J27NMZVN/gxdLavfq2MPLMGsvTNa+joYt7DF/fnGW1nIokszdK2MyQqq3GH8v8ulGrpa0n7lRM48u5bIeTuJ9Q/AvKMbaEFhTCa54Qk0f/VBzDrU/dP1W1VRVk5mQBQKQ12s+jTsTs16Nia4PdULt6d6URCdTtKmYJI2hzToPeoqNyyBiA+3oWdvimlbR3QtjChJyyM3LIHSzAIU+jq0XTRO7V4XBdEZFMVlVk/yv57nu0PIDo4lMyCKI90XYtnDg9Lsouqlflt+OKy6xEoIdaa0/Y1yZRlmeg2zz8pDbrPp7TwTU131y2tr0tn07ZxIXoOJrh3TvTdibVj54UZeSSr+Zx/lXMbfBCb9SA/H/9W5z/i80/wbMxddhSFT2/6Oi2nl6pDF5fmsPfckV3KPsSd2PkPcP2qU1yTuDBnREPeFVh8Np/VnoyjNKiTl73BK0vOwHexN1x0vqN3bwsDJgq47ZtJ67ihMfZzIi0gmeVsoWSdjUOjr0GxGHzr8MLnGNQp9HTqtm47NQ60pis0kcWMwCetOkHm0ciRFoaNN580zcH+hH/r2pmQcuEhmYDQW3T3otuslzNrVb2+BW6VjaoDfH0/jvXQ8lt08KIiu3Eck89hllEolzpO70enXp9Ru0HYr2n4xltbzR2PsZU9WYHTlRnwt7ei67QX07Svr/3WtVJdU7fDjZOxHtqc0q4CkLadJWHeCtH/PN0hMtVHo6eD8RBcqCktJ3qa+lM3mwdb02PsqrtN6oDDQJW3PeTIOXqSiuBTXKd2xH9EwO3TfTPq+CErS8nAc7VvvyeD1YeRuTfPXHqLnoTca7R43YtmjOS5PdsfAwZzcsITKf4dBV9CzNcF1ek+673mlxt4tdaVjrE/nzTNo8dZAdC2NSN19rnK/kl4t6Lhuer12lBf3JysDd2wNPdFWNMzPSlM9e2wNPTHQqX1elKYcil8OwMPN3qlOMgBM9GwZ7jEPgMPxK+o1qnE4fjlKlPR2eqE6yQDQ1zbmEc/FaKHgRNJPFJbd3l5LQrO0lP8djxaiCTt16hR+fn6VD+btb/5p427HtwE0Xkcu1Dv52PdkHIqk/feTsB/e7uYX3AGFcZkc6fU55h3d6LJlhqbDqdXp6T+RsvMs3f99GdO2jje/QDSanDPxBA5aysmTJ+nUSXXPnntB1c/eZ9vtxMmkafxbbUiJ+WHsi11ETM5xypTF2Bh60tVhKp3sJvDh0crfNR/1iK9xTW1zNFaHjyM65yhT2/6BvrYJ++MWE5N7gtLyQqwNm9PN4Sn87B9XiaGpztHILk5g8akuaGvpMbvLWXS1VT/YWHTSj5ySJJ7y2YKbaRc1vdRUVlHC/BNtKa0o5OWOR7AycFc554ewR4jJPcFYz+W0tx3dEC+lyUjIC2Vl6OB7+mdGFRnREEI0qrwLSZT/Z7+CitJyor7cQ8ahSHStjbF5sLWGolNl6GKJ21O9yAq8TMaRS5oOR63cs4mk7DyL02OdJMkQ4jZFZR9mVegoLmT+g7GeDV6WA9HXNuGvS2+xK/qTW+43Mms/q8JGklkUSwvzfjiatCO54Bx/Rr3BkYRvG/AVNK6k/Mo5TnZGrdQmGQBOxr4AJOaH16nP9MJLlFYUYqhjoTbJAHAy6XC1T/WLhoi7g8zREEI0qstL95Pydxhm7ZzRdzSjLLuIvPNJFCfloNDXwfurx9TuUq5JzV99kMQNp4ict5Ou217QdDgqLi38B20jXTxnqy6TLISou5LyQjZdfIkyZRH9XF5lgMvraGlV7msTk3uCn89OvOW+DyesYFSLRXSym1B97HTqRjZFvsSBuCV0sZ+CXi0P7nWVWRTLkuDu9b7O1/ZRRnsuqds9imMBMNerfe6ZuX7lqE9WkfqFNGrvs/bKhKq2rOK69SmaJkk0hBCNymF0B8rzi8kNjScnNB5leQX6dmY4PtqJZs/1xbRN0/tEXsfUgH5n3td0GLXy9Z+i6RCEuCeczdhGbmky1gbN6e/yWnWSAeBm2oUuDlM4kvD1LfXd1mpojSQDoIPtWA7FLyO18CIJ+adxN6t/knA9PW1jfG0frfd1bqZd63xuSXn+1XsZ3SCOyrbi8rwG7NP4ap/5depTNE2SaIh7mszN0Dzbh9pg+1AbTYchhBAqorOPAeBjPVLtPhDtbR655USjleVDao/bGHqSWniR3BL1+/XUh7GuVZ1HJoTQBJmjIYQQQoj7Um5JEgDm+urLgmo7XhdV5UT/pa9tAkBZheqyy01R1chCSbnqnlJVqtqqXlvD9Jl/tU/VVQnF3UNGNIQQQghxX7u+ZKrG8dv4PPZ2rq2r/NIM/rnycb2vczPtip/9E3U610K/ckWt7JLaNyPNKUmoce7N+3S52md8refUt0/RNEmiIYSos0Nd5lMUl0nv429j6Gp12/2Fvfw7ib+fxHvJoziN79wAETa8xE3BxK05Rt65RJTlSow8bXGe0BmXKd3RUtTvQaIoPovUfyv3a8gJiSM/IqVyc7gPhuL+XO0bEd7p64S4X5jq2QOQVaz+ITrr6qTlpqqkPJ+Q1D9u6dq6JhqOxt4ApBREUFpeqHblqfi8kKvn+tSpTxtDT3QVBhSWZZFRFK125an69imaJkk0hBCiFudmbyHO/ygKAx2senuipaNNxuFIzr+ztXL/j1WT6pVsJG8PJeLDbfWO405fJ8T9oplZN4JTfyM8/S/6u7ymMk8jNG2rhiKrG0sDV5X9PRqaub4zjsbtSMwPJTxjm8rk8+jso+SUJGKia4eLqV+d+tRR6OFp8QDnMnZwJnUz/V1frdGeUXSF2NyTaGvp0dLywQZ7LeLOkzkaQog68/vjaXoefB19B/MG6a/lO4PpefB1bId4N0h/DSl5Wyhx/kfRszOl+55X6fjzNHxXP0mvgDcxbmlHyt/hxP4QUK8+Dd2scPtfL7yXjqfHgddwHFe3jZru9HVC3C+8rUdgomtLWmEkB+O/4vo9jONyT3Ei2V9zwTUhfZxnArD7ylzSCy9XH88rTWPb5XcA6O38gkqiFpi4mmXBfdl08SU1fb6AFlocTlhBXG5w9fHi8ny2XnodJRV0cXgSQ52G+X0jNENGNIQQdWbkbt2g/enbm6Fvb9agfTaUy8v2AdDy3SEYN7epPq5va0rr+aM5OXYll5fvx/WpnnUe1bAb7I3d4OuSKoX6unBNXyfE/UJP24gxnktZd34q+2K/ICxtKw5G3uSVpnAlJ5BujtM5mvg92lpNa6+fO83bejhd7J/kRPJPfH36IZpb9EZbS5eo7MMUl+fS2nIw3RymqVxXUJZBWtElTPTsVNqcTXx5yO0ddsd8xg9ho/Aw74WBjhnROcfIL03DxaQjD7rOuhMvTzQiSTSEuE/lhiVw6YvdZAZepqK4DGNPO1yn9cD58S7sdnwbUF0euLY5GkFjVpJ5NAq/jc+gY6zPpcX/kn3iCuUFJRi1sMXtqZ44P6G6bntTnaNRlJBF7pl4tPS0sR/RXqXdqmdz9B3NKE7MIftkDBZd3O98kEKIBtHCoi9P+Wxlf9wiruQcJ6s4FmuDFgxrPpeWFgM4mvg9Rjq3Pyftbje8+TzcTLtyPNmfKznHqFCWY2PoSUe7CXSxf1Lt8sA309v5eeyN2hCQuJL4vNOUVRRjaeBGN4fp9HKagY5CvxFeibiTJNEQ4j6UcTiS4MmrqSgqw9jTFhMfJ0pScjn35ibyL6bccr/p+yK4svIQxi1sserXkqL4LLJPXOHs6xspzSnCfUbfBnwVjSc3rHK1E5NW9rXuWm7WwZXUxHBywxIk0RDiLudk0o4nWvurHD+dugEAR5N2Km2vdgpU29c07w03vNdozyVq976o7XhT0t52NO1tR9f5/AGurzPA9fUbntPScgAtLQfcbmiiiZJEQ4j7THlBCaEz11NRVEbz1x6k+RsPVy/tmHUimlOP/3DLfUcv30/bxeNwfrxL9bHEDacIe/E3Li/+F9cnu6NtpHdb8RfGZnC4a/03YnR8zA+frx6r2z1iMgEwcLGs9RwDZ4ur52bUOxYhRNORV5pGWUVR9ZKrVWJzT/LPlU8B6Ghbt58dQoiaJNEQ4j6TvC2UkuRcjFrY0Pz1h2qsH2/RxR3XqT2IXnHglvq2G+ZTI8kAcBzXictL95F/MYWc03FY9mh+W/FrG+nj+FjdVja5nkVX9zqfW55ffPVetSdFOsaVbWV5xfWORQjRdCTnn+Wnc49jZ9gaSwNXtLV0ySyOITE/DIAONmNpaz1Mw1EKcXeSREOI+0zmsSgA7Ed2UDuJ2WG07y0nGrYPt1F73NjTlvyLKRQn59xSv9fTszau88iEEELcjI2hJ13snyQ6013VkAABAABJREFU5xgxOScorshDX9sED7NedLR7jPY2YzUdohB3LUk0hLjPFCdWPuwbuliobb9RudDNVJUT/Ze2qQEAFcVlt9z3naRtXDkBsbygpNZzyvIr23RMZLKiEHczc30nhjefp+kwhLgnSaIhxP1KS/1Sp1q3swTqHVg+tSQ9n4iPt9f7Oouu7rhMVF35Sh0D18pkqygus9ZzihOyrp4rq9EIIYQQ6kiiIcR9Rt+hct+K2h6iC2Nrf7huCsoLikn8/eQtXVvXRMPMxwmAvIhkygtL1a48lX06rsa5QgghhKhJEg0h7jOW3T1IWB9E8p9nKieD/2eeRtLmEM0EVkeGrlYq+3s0NANnC0zbOZMbGk/yX2dw+s/k84yAKIoTstGzM8W8s1ujxiKEuD/ti13E/rjF9Hd57aZLxN6LzqRu4mLWPpLyz5JXmkJReQ56CmPsjFrhYz2KzvaT0FbUvpHimdTNnEj+ieSCcyiv7vnhazf+lvf8ELdG3mkh7jP2I9qjZ2tCfmQql5fsRalUVrdln4oh1v+oBqNrOjxe6g/Axc/+puByWvXxkrQ8zs/eXHnOzP4qiVrMjwEc6f0FYS/+dsdiFUKIe82J5J8ITdsCVO4i3tZqGPZGbYjPC2FH9Hv8GD6GkvICtddui3qHjZEzScg7QzPTrjQ370t6URQ7Lr/L7xHPUKGsuIOv5P4mIxpC3Ge0jfTwWTaekClruPT5bpK2nMbUx4nilFyyjl3G9amexHx3GC1dbU2HqlH2w9vjMuUScWuOcfSBL7Hq0xKFjoKMw5GU5RZjO9gb1+k9Va4rzcin4FIq+namKm3FyTmcnv5T9d8Loiv34Ij9IYCUbaHVxzv8+CT69mYau04IITRtULMPsTZsjqGOeY3j2cUJ/HTuceLyTnE44WsecH2jRvvZ9O2cSF6Dia4d0703Ym1YuaR6Xkkq/mcf5VzG3wQm/UgPx//dsddyP5NEQ4j7kHW/VnT583kuLdpNVmA0hX+HY+xpS+t5j2DzgBcx3x1G18pI02FqXJv5o7Ho6k6s/1Eyj0ahLK/A2NMO58c74zKlu9rlgW+koqSM7FOxKseL4rMois+qcZ4mrxNCCE1zMe2o9ri5vhN9nV9kU+TLRGUdVEk0DsUvB+DhZu9UJxkAJnq2DPeYx+qz4zgcv4JuDtOlhOoOkERDiPuUWXtnOq6ZqnI84Y9TV9tdVNr6nJiltq/Om5694b18vnpM7d4XtR1vShzHdMRxjPpfeOq0eONhWrzxsNq2W51fcqevE6IpSiuM5GD8MqKzj5JXmoK2lh5GupY4GPnQwXZMjU31isvzCE3bwsXMvaQUXCC3NAktFFgZeNDWehg9HZ9BV9tQ5R4fHnUG4KMe8QSn/MbxJH9SCy+ir21CS4sHebjZOxjrWlNaUcSh+OWEpW0huzgBY11r2tuOZYDL6yrzBjZHvkJI6h880mIxDsbe7I9dTEzucUrKC7E1akk3h2l0tBtf7/cjteAiRxK+5XLOEfJKUtBRGOBk0o5uDk/R2mqgyvk5JUkciltGZNZ+ckoS0dLSwkjHClvDVrSxHkJn+0n1jkFTFFqVj6/aipqbqmYXJ5CQfwZtLT28rYarXOdu3gMzPQdySpKIyzuJm2kXlXNEw5JEQ4j7UElaHuWFpRi61twzI+vkFS5+Url07H8nQAshhKYk55/jh/BHKC7Pw8bQk1YmD6NF5cPzpez9lFUU1Ug0kvLP8lfU2xjr2mBj0AInk/YUlGUSnxfM3tiFXMjczTTvDegqDNTe758rn3EscRXuZt3xtBhAbG4QwanrScg/zVM+W/n53BOkFUTSzKw7VgYeROcc5VD8MgpKMxjZYqHaPuPygtkW9Q5meg40N+9LfmkaV3KOseXSayTmhzHU45M6vx+haVvZHPkK5coS7Ay9aGX5IPmlGVzJOU5U9mH6Ob/CA25vVp+fW5LMyjNDyCtNwULfBU+L/mgr9MgtSSIu7xRZxbF3TaKRX5rBkYRvAPCyrJlQJV3dzd3OqJXaRBLAydiXnJKdJOaHS6JxB0iiIcR9KPdsIqfGr8KktQMGbpYodLUpvJJBblgCAI7jOmE/vJ2GoxRCiEpHE7+nuDyPB91m0df5xRptxeX5pBScq3HMQt+FKW1/w92sZ43ymMKybDZcfIHIrH0cS/yBPs4vqL3f6dQ/eK79P9gatbx6XRarQkeSXHCOVaEjMdAx45VORzHQqZzblJgfxnehwziVso6+Li9hoa86IhyU/DPdHJ5isPuHKLQq58DF5Z7ip3OPE5j0I54W/Wll+eBN34uk/LNsjnwFbS1dHvf6gZaWD1S3pRRc4JdzkzgQvwQP8554mPcC4GTyOvJKU+hsP4nhHvPRum4fpbKKYuLygm963+tVjfzUh7tZD6Z5b6j3dRcy/uFsxg4qlOXklaYQkxNEmbIIX9vH6OYwrca5mcWVpaLmeqrvfxVz/crYs4pi6h2LqD9JNIS4Dxl72uIypTuZR6PIOh5NeV4xOqYGWPVugeNjnXEcV/dSISGEaGx5pakAtLQYoNKmr22Mq2nnGsfM9Z0w11fd48ZQx5yh7h+zNKQPZ9O315poDHB9ozrJqLzOgs4Ok9kZPYfUwghe6LC3OskAcDT2oaXFA1zI/IfonKP42j6q0qeZngMDm71bnWQAuJh2orvj0xyI+5Kjid/XKdE4GL+UcmUJg93n1EgyAOyMvBjk/iG/RzxLYJJ/daJR9f55WgyokWQA6Cj0cTfrftP7Xk/d67sZG0PPel8DkFRwlpDUP2oc6+74P7VlaiXl+QDoadc+x7Cqrbg875biEfUjiYYQ9yEDJwvazB+t6TCEEKJOnE06cjFrL9uiZvGA61s0M+uGjkL/htcolUpick9wJecYOSWJlFYUAUqUVC7pnV4UVeu1nmoSGisDd6BytOT6JKSKtYEHUFmmpE5bq2FqY+5gM5YDcV8Sk3OCcmUZ2lq1P5pVKCuIzNqPFlp4W6vOQYDKkQOAuNxrG5u6mPhyInkNu698BkAL8743fBi/mdGeS2752vrq5/IK/VxeoayihOziOMLS/+Lw/9m7y8CmrjaA4/8kbVJ395ZSpC1Q3IYzNiZsYxtzd2Wu79x9Y8I2dA4MGAM23F0qtKVUKHV3tzTvh0K3LCm0UEgpz+/TuOeec54bunKfHMv+iiMla7i594+4WYWcs1hEx0miIYQQQogubZTXg2RU7iW1fAc/JNyImUKDh3Vf/O1G0N/lGtyt++jdX9VQyG9J95BZeaDNNuu1lW2W2ak9Da6pldZtlgGoVS3lTc31RssdLIwf7mmv8UaBkiZdHbWNpdioXduMq7aptDXuDw70a/M+gOqm4tb/7ud6LSnl24gtWs5viXejRIWbVS/87YYT5nLlebFWwUypxtkyiLE+j+NqGcyipPtYnvI494X/1TpKc+LvoK3zNf5dplHZnP2ghSQaQgghhOja1CpLbu+7iKzKSJLLtpBZuZ/MyoNkVUWxM+drxvs8zTjfJ1rvX5H6NJmVB/CzHcI4nyfxsA7FQmWHSmlOU3MDb+4NPGl/J9v2VGHCLVGbdVoAlKjo53pNu+spFUqu7fklF3k/QlLpBjIq95NZcYC9efPYmzePCNcbuCr443a3tzxlZkdDx8UymIu8H+lwPWP6OE1Fo7Ilp/oQZfWZOB5P4hw0vgCUN2S1WbeiIUfvXnF2SaIhhBBCiPOCj+1AfGwHAtDU3EBs0XL+TH2WLVkfE+ZyBS6WwTRoa0gu3YQSFTf1Xmhw4FtJXZoJIoeyesMzbQDK67PR0YyZwgJLc0ej95xgZe6EudKCxuY6pga+jeb4N/jt5W7VG3er3kDLNKzkso0sTX6EqMLfCHO5kmCHse1q579rJtojwG5EpyUaLVvzOlKvraS6sag10fC0DgWgoCaJRm2t0Z2nsquij98b1imxiJOTREMIcd47+tF6Uj/eQNBTk9o8w6I7y10aRfHmRCrjc6kvqKSpohaVtQabEHfcr+qPz63DULbzpPfkd9aQNmszAD1fmUrAg+178RDiXDNTqolwm0FkwW9kVO4jvyYBF8tg6rQV6GhGo7I3SDIADhUtM0G0LSdWT/Z7CbP/nP1wqGg5AH52g0+6PgNApTAjyP4iEkvXc7h41Wmdv3GCUqGkl+NkejlezKGiZeRVH253ovH6iOzT7rczlNSlU1afiQIljhb+rdftNd54WoeTWx1LfMkqg0XraeW7qWjIxcbcDR9b2cL9XJAjEYUQ4jyXtXAPucujAbAb4IPb5eHY9PGgPDqTxJdWcODq2WhrGk7ZTnl0Julfb4X/7EojhKnty1tAUW2KwfWSunQKa5KAf7Y0tTF3xVLlQJ22nEOFy/XuTy7dzO6c789+wEZUNOSyIeMdmnXNrdeyq6LZnfsdAMM97m5XO2N9nkClMOfvtFeJLVqBTqfTK9fpdGRVRpFStrX1WnThEnKqYg3aqmksIauy5ZBWB03Ht6w9WwpqkjhUuPz4An59+TVHWJL0ADp09HG6BGtzZ73yE6Mm69Pfobj2WOv1qsYiVh17EYDR3g/LqeDniIxoCCHEeS7k9cuxCnLB3F5/mkBdThmRM+ZQfjCDtK+20OMZw9OCT2iubyL+scWoXW2wG+BL4Zr4sx22EO12MP9nVh97CUeNP25WvVCrrKlqKCCjcj9aXQNhztPwsW3ZllupUHGRz6OsS3+TpSmPsC9vPg4aX0rq08muiuIi70fZnj3rnD/DYPdb2Z/3A4ml6/Gy7k9NUzFpFXto1jUxxP12ehk5zdsYb5v+XB38OSuOPsnvyQ+xIeMdXC1DsDRzoLqxmLyaeKobixjt9XDrCEVC8d8sL52JndoDD6tQLMzsqWkqJaNiLw3NNfjbDqOP06Vn8/E7pLqxiKUpj6BOtcLTOhxbtQdaXQNl9ZnkVcejQ4e3TQRXBL1vUDfU+XKGuN/G/vwf+DpmEkEOo1EpzEkt30G9tpLejpcYnL8hzh5JNIQQ4jxnH2F8UaOFlwMBj00g/rFFFG9LPmmicfTDdVQnFzBg4e3kr447W6EKcVom+D1LUukGsiqjyKw8QL22ChtzFwLshjPI/Sb6OF2md/8orwdw1PiyM2c2BbVJFNQm4mbZi+nBs+jneo1JEg0fmwgGud3M5qyPOFq2lcbmOtytejPE/XYGut3YobbCXabhbdOfPbnzSC3fRlrFbgBszN3wsAolxHGi3knpI73ux0HjQ2blQXKqD1HbVI6VmROe1uEMcLuefi5XG5xJYUpuVr2Y4PssGRX7KKpLIaf6EM06LVZmTgQ7jCfM+Qr6uU7XO5Pk3y4Pehc/26Hsy19AesUemnVaXCyDiXC7gSHut8loxjkkiYYQ3VB1SiHHvthE6a5U6gsqUapVmDtaYxvmhef0CL1Tv5uq6slbHk3RxiNUJeZTn1eBQqnAKsgFt8vC8b//IlSWhv8Arfd8DoDJue+Ts+gAGfN2UZ1cgJmNBpdJven54qWoXWzQ1jWSNmszeX/EUJddhtrZGs9rBxL09GSDdQNxjy8md/FBQj+7DttQL45+tL7lQMHaBqx7uuN71wi8b+j4NoxVSfmkz95GyY6jNBRUorQwx66fN753j8JtSl+D++vyKkj7YhNFm5Oozy0HhQK1kxXWIe64TQ3D59ZhHY7BVBRmLf+gKtVt/7ovj8wgffZ2PK4egOvFfSXREF1Oy1qCjq2/6ut8md7L9r+1tcbgZGsPAu1HnrR8vO9TjPd96qQxedmEc3PvhSe9p73tOVkEMDXwjXa15W83DH+78+f3lrW5M2N9Hj+jNvq5Xk0/VzkvytQk0RCim6lMyGX/ld+grarHOtgV18l9QAH1eRUUb0miua5RL9GojM8h4dllqF1ssOrhil1/bxpLayiPzOTo+2spXHeYwcvuR2Vh/Nuu5Lf+Iv37HTgOD8JlfC/KDqST8+sBKmKyGfLng0TeOJfq5AIchwdhGeBM6e5Ujn2xmYbiavp+NN1om+WRmSQ8vxyNhz1OY3vSWFRF6e5jHH7idyrjcuj91rR2fx55f0QT9/hidA1arHu54zKpNw3F1ZTuPUbJ9hQCn5hI8LP/fNNfn1/B3ilf0FBQiYWPI87jQlBqzKjPraA8MoPazNLzJtFoKK5uWXMBuF5smFABaOsaiXtsMWYOlvR688pzGZ4QQohuThINIbqZjO92oK2qJ/iFSwh8TP9026bqeqoS8vSuWfo6MmjJvTiODEKh/Gc4ubG8ltgHf6F4cxIZc3YS+Mg4o/3lLD7I8PWPYxPi3lKvrIZ9l39N1eFc9l/+NWZ2Foze+xzmdi3rByrjcth76Syyf9lP4OMTsPQ13M4x64c9+N49il6vX45C1RJTeWQGB2fMIXPuLpzH98J1Yu9TfhaVh3OJe3wxSnMV/ebdhsu/6lQl5hF10zyOfboRp1E9cBrVo6Xvn/fRUFCJ963D6PP+1a0HQUHLOobyyIxT9vtvJ0Z+OsJxRBCDl93f4XqF6w63jEZom6kvqKRsfxrNdU14zRiE710jjdZJeW8tNUcLCZ99E2rnjm2VKYQQQpyMJBpCdDMNhVUAuEzoZVBmZq3BYbC/3jULLwcsvBwM7jW3t6TXW9PYNepDClbFtplo9Hjm4tYkA8DcwQqf24aR9OoqqpLyGbH5idYkA8A2zAuXib0pXHuY0t2pWPoabjGo8bQj5H9TW5MMAPuBfvjfN5rUTzaS8d32diUaxz7fhK5BS883rtBLMgBsenkQ8vrlHLr3ZzLn7WpNNFo/v/G99JIMAKXGDMcRQafs9988r+/4ForWwW2fDHwylfG55C4+qHfN797RBD09yej2tmX708j4fgeul4TiMa3/afUphBBCtEUSDSG6GbsIH4o2HiHhuWX0ePZiHIcHodSc/H91nU5H2b40yvYcoy63nOa6RnQ64Pi2iTWphW3WdR4fYnDNKtAFAEsfR70k5J/ylu0I6/MrjLbpflm40Zg9rx1I6icbKduXRnOTFqVZ22dD6JqbKd6cCAoF7peFG73HcXhL0lB2ML31mn2EL1kLdpP89l8tzze2JyortdH67RH2+fWnXbejgp6YSNATE2luaKI2q4z8Pw+R9uVmCv6OJ+KnO7Hp9c/fhba2kfiZSzCztaDPe1edsxiFuNBcHfwZVwd/ZuowhDAJSTSE6GYCHhxL2d40SranEHnDXJQaM2xDPXEcEYTH9Ahs+3jq3V9fWEnM3T9Svj+9jRahqbK+zTILL8MDsVTWLS/mGk/DspZyDdAyFckYSz8n4315O4BSQXNdE42lNWhcbduMq7GkpjXureFvtnkfQGNxdet/e14bQfGWJPKWRxNz1w8oVEqse7vjODwQj2n9cRgScNK2ugKl2gzrIBeCZk7AOtiVQ/f+RNxjixi25tHWUZqUd9dQk1pE30+vReNuZ+KIhRBCdEeSaAjRzais1AxafC/lkRkUbU6kbF865QfTKY/MJO2rrQQ9M5keT05qvf/wU0sp35+Ow5AAgp6ehG1fT8zsLVGaq2huaGKj/0sn7e/f6zoMy0x38JuuuWU0RqFS4jE9ot31FEol4V/fSOBj4ylcn0DZ/nTK9qeROXcXmXN34XXjYEI/ue7UDR0X9/jiDsduHexK4KPjT31jO7hdFoaZrYbKQ9nUZZa2JnEFf8eDUkHu4khyF0fq1alOKQBaDgIsWn8Ey0BnQj++tlPiEUIIceGQREOIbsp+oB/2A/0AaG5oIm95NIefXkrqRxvwuLI/1sGuaGsaKNp4BIVKyYAf7zA48K3mWLEpQqc2s9To9brsMmjWobQww9zR6qRtmDtZobQwp7mukd7vTMPs+ChKe9n09sCmtwfQMg2raGMisQ/9Ss6vB/C4sj/O4wynjBnz3zUT7eE4IqjTEg2FQoG5ozVNlfU0FFXpjxY16yjdndpm3dr0EmrTS2isqO2UWITobFEFi/jj6JMMcL3ugp6edOJz+Lf7wv/C28Zw7VVRbQpbsz7nWPlOappKsTF3pafjBMb5PIGt2nCq65mqaMhja9ZnJJduoqqxECszRwLtRzHWZyYulj06rZ/y+hz25s0jp+oQJXVp1DSVoNM1Y6t2x99uOCM978Pduk+nxZlbHcfsQ1P0rl3V4xMi3GZ02jN1B5JoCHEBUKrN8JoxmOxf9lO2L42qhFysg11prKiDZh0qewuDJAMgb1mUCaKF/NWx9Hz5UoOzH3KPx+MwJOCk6zMAlGYqnMYEU7QugYJVsXjNGHza8SiUSlwn98FtSl9yl0ZReTi33YnG5FzDk2vPpZr04pbETanQSzIu2v98m3VOnGfS85WpBDw49lyEKYToBE6aAPzsWs4asjIznIKaVr6bn47cQmNzHZ7W4fjbDSOv5jAH8n8kofgv7gpb3qkv/4U1ycyLv5qaplJcLIPpY3sJxXWpHCpaRkLJ39zW59fWeM9UUW0KO3O+wcrMERfLnvjYRtDUXE9+zRGiCxdzqGgZ04O/IMzFcHv004nT0syRAa4to9sZFfspqU/rlOfobiTREKKbyVywG6fRwQY7F9WkF1OVlA+AhU/LlrIaVxvMHCxpKqsld1kUntf8M8WoaFMi6d9tP3eB/0t9TjnJb/9NyKuXtU7NKo/OJOPblnj87hnVrnaCnphE8eYkEv/3J0qNGe7T+uvtJKXT6aiIzqKpvLY1cchZfBCb3h7Y9fPWa6uhpJqygy1b21r4OJzpI3aaqsR8KuNzcJsaZnDWSdWRvJapWzodblPDULvYmChKIcS54Gc3pM2RnQZtDUuSH6KxuY6pAW8xzPPO1rK1aW+wK/dbfk9+mPvD/zbYce90NOuaWZL8IDVNpYz0fIApAf9rLduTO4+/0/7H4qQHeCxiB2qV4RddHeVu1YcH+63D3aqv/rbkumb25H7P2vQ3WHH0GXo6TkSjstErP504HTTerZ/18pSZlBSmnfEzdEeSaAjRzWT9tJcjL/yBpb8TNr09UFmpaSispHRfGroGLe5X9cc+whdoWb8Q+PgEkl9fTdzDv5E5fxeWvk7UpBVTEZVJ4GPjOfbF5nP+DD63DSdr4R4K1ydg19+HxuJqSnenomtqxueOEW0ePvdf9gN8CPvieuKf+J3YB38l+e01WIe4Ye5gRWNxFZXxuTQUVRHwyLjWRKPgrzjiH1+MxtMO21AvzOwsaSytpmxvGtqaBhyGBeJ2adjZfPwOaSiuIu7h31BZqbEN90bjaYeuvonazFIq43NBp8Muwpc+H1xj6lCFECYUVbCIqsYCAu1G6iUZAJP9X+JIyVpyq2NJLttEiOPEM+4vuWwj+TUJOFkEMNn/Rb2y4Z53kVDyF2kVu4kuXMRQjzvOuD8btSs2asOtwZUKJSO97mdf3kJK69PJrDxIsMM/I7XnOs4LjSQaQnQzwc9NoXB9AhVRmZTtT6epqg6Niw2Ow4PwuWUobpfpvyQHPDAGSx9H0mdvozoxn6oj+dj0difsyxvwnB5hkkTDfqAv3jcP5ehH61tPM7fp7YHPHSPwvqljw+weVw3AboAvGXN2UrItuXVNgsbNFttQT1wm9cHtXyel+z8wBktfR8oOpFMRk0VjeS1qJ2tsw73xmjEIz2sijJ5JYSo2Ie70eG4KZXuPUZ1SSMWhLHTaZtRO1rhM6IX7lf3wnB6hdyaJEGdLYW0KX0aPxdrMmacGHUSlNDe4R6tr4pODQ6hqLOCh/htxt2o54yarMpL44tWkVeyivCGHuqZyrMyc8LUdxEivB/C1bf+ZNKdau3GsfBcLDl9HgN0I7gz93aC8vD6bnTnfklK2mfL6HFRKM9ysejPI7SYGuF7fKd/4n2tHStcAEO5i+KWDUqEizOVKtmV/wZGStZ2SaBwpWQtAmPM0lArD35n9XK4hrWI3R0rWnpMX+BMxmCn0tyvvanF2N5JoCNHNuE7ug+vkthe8GeN+eTjulxs/a6KtNQYnW3vgNLLHSct7PD2ZHk9PPmlMdv28ifjhjpPe0972rAKc6f3Wle1qy3F4II7DA9t1b1egdrEhaOaETm0z7PPrz+n5H6L7cLUMxscmgqyqKJLLNtHbaYrBPUfLtlDVWICXdb/WJANgY+b7pJXvxtUqBG+bAZgp1BTVpnK45C+OlKzl2pCvCHW+4qw/w7HynfyWeA912gqcLAIIdhhHQ3M1WZWR/HH0SY6V7+Sanl+c9Tg6W251HIDRBeIt1wfo3dd5/Q1oo7/+ndrfyRzM/5XiulRszd3x+s/zd6U4uyNJNIQQQgjRaQa4zSCrKorowiVGE43owiUt97nqJ7MjPR9gevCXBtNfEkvWsSjpPlamPk9Ph0mdMp+/LZUN+SxKvI8GbTVX9/iU/q7XtY5elNdn88uRO4kpWkqg/ah27y5kbEeo9ujMHYzqmiqpbSoDwEHjY/Qee03LurSy+oxO6bOsLvN4f95Gy0/0V9NUQr22Go3KulP6Bfgj5Sl0aKnXVlNQc4TiulRszF25PuRb1Cr9HQtNGeeFQBINIYQQQnSacOdprDn2GkmlG6lpLMHK/J/dj2qbykgsWY9KoSbc5Sq9ej0djW/p3MvpYvo6X05s0XLSKnYS4jjJ6H2dYXfuHGq1ZYzyeogBbvqJkL3Gmyt7fMh3sVPZmze/3UmAk0Vg6+5EHeFk0Xkjqw3N/xxKaq4yvjW4WtlyvV5bbbT8dPs0V7bV3z8v7A3aqk59gY8pXEIz2tY/O2r8mNbjY6M7XJkyzguBJBpCCCGE6DQWZnb0dppCXPEKDhUtZ7jn3a1lsUUraNLV09dpKlbmjgZ1qxtLSCpdT0FNInXaCpp1TQAU1BwBoKg2lRDDap0muXQTAKHOlxst97Luh1ppTV51PI3NdZgrLU7Zpr/dUPzthnZqnOLkXh3RMipT3VhMfs1htmR+xoLD1xnsKiXOPkk0hBBdhqwNEKJ7iHCbQVzxCqILl+glGjEnpk25Gf5/vj//R9amvU5jc9sHRNZrqzo/2H8prU8H4LvYqae8t7axFHON51mNp7P8+1v5Rm0NKjM7g3sammsAOu0be7XSmlptGY3H2zXs75+RE7Xq7Gy9bW3uTJD9RfjZDmNu3DR25c7G324YvZ0u7lJxdmeSaAghhBCiUwXZX4Sd2pPc6ljyqxNwt+5DUW0KWVVR2Ji7EeygP00quyqa1akvoFSYcbH//+jlOAk7tRfmSksUCgUbMt5le/aXgK5T4tPRbPy6ruV6mPOVmCk1J21DdYryE9Ir9hFZ8EvHAgQGut3UaSMhFma2WKocqNWWUVafhYeZ4Rbh5fU5ADhofDulTwcLH2qryyirz8bDOrTN/qzMHM/6dCQzpZowl2nkVB/icMlqvUSjK8XZHUmiIYQQQohOpVQo6e86ne3ZXxJVuJhLrF8lqqBlNKOfy9WoFPqvH4eL/0KHjmEedzHK6wGD9krq0jrUv+r4FqYNbaw3KK/PNnrdTuNJSV0aY31m4mbVq0N9tqWk7ljrAviOCLAb0alTrjxtwkgt30F2VQwe1oaJRnZVFAAe1p1zTpCndTi51XFkV0Xrvdj/0190p/Z3KtbmzkDLdKp/62pxdjeSaAhxgchZdID4mUvwvH7QBT096cTn8G9D/34U+wGGO7FUpxSS+ulGSnam0Fhag8bVFpeJvQl6ciIad8OpB6erKjGf7J/2UnEom9qsUhpLqgEFFt4OOI8Jxv/BMVj6OhnUq04ppGjjEYq3JFF5OJfGkmpUluZYh7jjfmU/fG8fgVLTeb/mT7e/9O+2k/TqKr1ro/c9Z/SZRPcxwPV6tmd/SWzRcib5vcChoqUt141MmzqxI5KdxsugrLqxmKNl2zvUt53aA4Ci2qNGy5NKNxq93tNhAnvz5hFfvKrTEo0ItxmdtnvUmejlOIXU8h3EFi1jkPuNemXNOi1xRX8C0Mfpkk7pr7fjxUQW/Epc8QrG+z5lcEbFoaJlndrfqRwr3wmA838W2Xe1OLsbOcFJCHFBsgxwxvP6QXhePwi1s+FuIyW7Utkz+XPylkWhcbPD7dJQVJbmZP2wh90TP6P6aGGnxVJ2IJ2MOTupSS/Gyt8Z1yl9cRrVg6bKOjLn72b3uE9bDxr8t4PXf0fSa6so3ZOKVYAzbpeHY9vPh8r4HJJeXcW+y7+isdT4vOPTcbr92YS4t37WKiu1kZZFd+Ri2QNf28FUNRayLv0tKhpyDc7O+Pe9ADGFv+vtelSvreKPo09Spy3vUN9eNgPQqGwoqE0ktugPvbJ9eQs4XLLaaL1RXg+gUdmyPXsWe/MWoD2+GP3fCmoSOVz8V4fi6Qoi3GZgY+7GsYpd7M1boFe2Pv0dSurT8LQOo6eD4bk8n0YO49Xd3kQVLGp3fz0dJ+Fu1YeSujQ2ZLyrV7Y3dz5pFbuxNfdggKthEjY//lpe3e3N5syP293fgfyfKKpNMbje1FzPzpzZxBQuRYnKIOk7kzjFqcmIhhDiguQwNKDNkR1tTQOxD/5Cc10jvd6eht9dI1vLkl5fRfrs7cQ++CvD1j7aKScEO48JZuT2p7EO1j8/oLlRS/Jbf5Hx3Q7iHl/M6L3P6fVn3cOVHs9cjPuV/TCz/me+eG1mCVG3LqAyLofEV1cS9kXn/AN5uv05jwvBeVwIANt3paKtaeiUeETXN8D1ejIrD7A3b27rn42JcJvBntw55FbH8nnkCPzshqLT6Uiv3INKoSbC9QaiCn9rd79qlSVjfZ5gXfqbLE1+hH15C7AxdyW/5ghl9ZmM8nqInTlfG9Sz13hzY6+5LEq6j7+OvcT2rC9wtQrB2tyFuqZyCmqOUN6QQ5jzlfR1PvWC8a5Eo7Lmup5f89ORW/jr2EtEFyzCySKQ/JrDFNYmY2XmxLU9vzL6O+3E2hWVwvCk97YoFUqu7fk18+OvYWfONySVbsDdqi8ldcfIqT6EudKC60K+MXouyon+lIr2v6bGFv3BytTncLIIwNUyBLXKmqqGAgpqjlDdVIxKoeaywHfw/M8UqDOJU5yajGgIIcR/ZP92gIaCShxH9dBLMgB6vjwVywBnKmOzKdqU2Cn9Wfo6GSQZAEpzFT1fnorSwoy6zFJqUov0ygctuQ/vG4fovfSfaK/P+1cDkL/yEM0Nht/Kno5z3Z84/4U5X9m6BayxszNOsDRz4L5+fzPI7WbUKmuSSjeSUx1DH6epPNBvDfZGplSdyiivB5jW42PcrfqQU3WI1PKdOFkEcFfocno6GD+zAyDQfhQP99/MRd6PYm3uTFZlJAnFf1FYm4SjhT+T/F5got9zHY6nKwiwH8ED/dYS7nI1FQ25JJT8TYO2msHut/BQ/w24WAYb1KluLKaiIRdrM2d6GVnDcDJuViE82H8Dg91voUFbTULJ31Q05NHP5Roe6LfO6BqUZp2W/JoEzBQa+rtOb3dfo7weZJDbzZgrLcmqPEh88UpyqmOwVbsz3PMeHuq/wWDK2JnEKdpHRjSEMJHq5AJ2jfkYc2drxkS9hNJcZXBPc5OW7YPepaGgkhGbn8Cmd8u84/LIDPJXxVKy8yj1OeU0ltdi7mSFw2B//B8cg8Mg/3bHcaq1GyW7jnJw+nc4jghi8LL7DcrrsstI+2YbxVsSqcsuQ2GmwqaPBz43D8Xz+kGd8o3/uVa4Jh4Az2sGGJQpVEo8pvXn2OebKPw7HteJhtNAOpNCqYDjn6FS3f5f2XbhLafZNtc1tawv6cQ1JV2hP3F+sDCz5eVhxtdJ/JeNuQtX9vjAaNl436cY7/uUwfVTrX8Y6HYDA91uMFr2+gjjC8IBbNVuTPJ7nkl+z58i6vOPi2Uw1/b8st33p5ZvR4eOMT6PozmN7V3t1B5cEfR+u+/ProqiTlvBCM972zzF3JgQx4mEOE7scHwndDRO0T6SaAhhItY93bAf6Et5ZCZFG4/gdonhtnrFW5JoKKjEtp93a5IBkPLeWkp3pWLdyx27CF+UahU1R4soWB1H4ZrDhH9zI+5X9Dvrz1Cy8ygxd/1AU0UdloHOOI/rhbamnvKDGcTPXELJjqOEzTr/5rVWxrVsZ2g3wPg2j3bHF46fuO9s0TU3k/rpRpprG7EJ9cTCx6HddU+MfijUKswdjJ9425nOdX9CCEMZFftZnjITgHE+T+FoceZb1R4t24ajxo/B7reecVvt6287GpUtY7wfOyf9na6y+mw2Z34ItHzuwjhJNIQwIa8ZgymPzCR38UGjiUbu4oOt9/2b/wNjCPvqBjSutnrXC9cdJuaen0h4bjkuE3uf1YW39fkVxNzzI9rqBkI/vx7P6wa2jl7UZZcRfcdCcn+PxGl0D4P422JsR6j2CP3sunb3cSpNlXWtC5rberG38G65XptR0il9ntBYVkPi8d2ZmsprqYzLoS67DKsgF8K/vrFDo0PHvtwMgOukPp2681RX6U8IYaikPo2SwjQAhnrciSNnnmhcFfzJGbfREeN8n2Cc7xPntM/TUdtUelrbFl9o5F8DIUzI/ar+JL66ksKNR2goqUbt9K/TW8tqKFyXgEKtwvPqAXr1XCYY33bR9eK+uF8eTt7yaEp2HcV1Up+zFnvG9ztoKqsl4OGxeF0/SK/MwtuBPh9OZ9+ls8iYu6vdScCJnaA6yjLAucN12tJU/c9C5bYSNdXxNQpN1fWd1i+0LEI/kVyeYBvmRehn12ET4t7udnIWHSB/xSGUluYEv3D2t2Q81/0JIfR1lS10LySe1mEnnX4nWkiiIYQJmdtZ4npJKPl/xJC3LBq/e0a1luWtiKG5vgm3y8IwdzScitJQXE3RhgSqjuTRWFGHrqlll46qxHwAao4WwaSzF3vRxpaF0G6XG5+iZdffG5W1msr4HLR1jagsTr1bieOwQByHBZ7yvu7KwsuBybktc4Tr8ysoj8rk6Ifr2TtlFiGvXa7389GW4u0pHH52GSgU9P3gGqOLzDvTue5PCCHE+UMSDSFMzHvGYPL/iCFn8UG9F8m2pk0BZP2wh8TXVtFc29hmu01VdZ0f7L/UpLecrrrv0lmnvLextAaVp/1ZjaezmFn/M4qhrWlAaWe4paH2+EjGf3df6kwadzvcLgnFcXggeyZ+RuKrK3EYFtC66NqY0r3HiLljIboGLb3euhLPaweetfhM0Z8QQojziyQaQpiY05hgNF72VMZmU5mQi20fT6pTCimPzETtZovz+BC9+8ujM0l4/g8UZkp6vjIV18l9sfCyR2lpjkKhIPmdNaTN2gy6TgqwuY2Gjl93n9YPpebkoxXt3S2pdO8xsn/p+KI675uGdNpIiJmtBWYOljSV1VKXVYZ5X8NEoy6n5fAwC1/HTunzZMwdrHC9JJTMebsoXBPfZqJRtj+NqFvmo61poOf/puJ396lHP87Eue5PCCHE+UcSDSFMTKFU4jl9IGmzNpOz6CC9XrucnEUHgJbtVZVm+tveFqyOA50Ov7tHEvDgWIP2atOKDK6dtP/j2+pq21hvUJtVavS6xsue2mPFBD0xEZteHkbv6ajatGKDNQrt4TQyqFOnXNmFe1OyPYWK6Exs+3oalFdEZbbcF9bxvf1Ph7lzy9qdhqJqo+VlB9OJvGke2qp6ejw3hYCHDH8uOtO57k9cuObHX0taxW7u6LuEQPuRp64gOmRz5sdsyfqEcT5PGt0++Hzo81j5LhYcvo4AuxHcGfp7J0QoOpMkGkJ0AV4zBpE2azN5y6Lo+eIl5C6LOn7dcNpU645IXg4GZQ1FVRRvS+lQ3xqPlilN1SmFRstPrMX4L5cJvcicu4v8lbGdlmh4zRjcabtHnQnXKX0p2Z5C7rJovG/SP6hJp20mb0VMy31Tw4xV73SlO1rOIbAKNFz0Xh6VSdSNc9FW1RP09CSCZk44q7Gc6/6EEEKcv+RkcCG6AOsertgP8aehsIqkN/6iPqfc4OyM1nuPL7bNWRKpt+tRU1U98U/+TlN5bYf6th/gg8pGQ3ViPrnLo/XKMhfspmBVrNF6AQ+OxcxWw7EvNpM5fxfNTVqDe6oS88hfHdeheLoCrxsGo3azpXTnUTLn79IrS377b2rTirEN8zK6+9f2Ie+x3vO51lGp9kj/bjt12WUG15sq60h68y9Kd6eistHgftUAvfLy6Cwib5hDU2U9gU9MpMdTk9vd53rP51jv+Rwlu9p3mNqZ9ieE6HqGetzJIwO2MtTjzvO2T2+bCB4ZsJWrgz/vlPZE55IRDSG6CK/rB1G+P53MuTtb/tzGN/teNwwm4/sdVMZms2PY+zgODUCng7K9x1CYq/C6cTA5v7b/JVdlpSboyYkkv/EXcQ//Rtb83ajdbKg6kkdtRikBD48l7autBvUsvB3oP/92Dt37E0deXEHq55uw6eWO2tmGpoo6qhJyqcspx31aP9wvOzff/HcWM2sN4d/cRNTN8zjy4gqyfzuAVZALVfG5VCcXYO5kTfg3Nxk/16K5ZfcvhZnhSe9tyfh+J0mvrcY6xA3rHq4oNWbU5ZZTFZ9DU2U9KhsN4bNvwsJD/7TtyBvn0FRRh5m9JXXZZcQ9vtho+yGvXIba+Z+tk3XHYwQMpuadzOn2J4TomqzNnbA2dzqv+1SrLHG1DO609kTnkkRDiC7CY1p/Ev+3kua6RqNnZ5xg7mDFsLWPkfL+Wkq2pVC48QhqFxvcLg2lx7MXk/Xj3g73HfDgWMwdrMiYu5OKQ1koLcyxH+RH2Kwb0NY2GE00AJxG9WDElifJnLuTwo1HKD+Yga6pGbWrLZb+zvjcMeKcnFB+NjiNDGL4+sdJ/WQDJTtSqDqSh8bFBu9bh9HjqUlo3O0M6jQUVVGXW4G5szWuU/q2u6/gF6ZQvCWJipgsSnen0lRRh8pGg1UPV5zHhuBzxwiDJAOgqaxl9KqpvPaka1t6PD0J/vXiX3Go5URz617u2A/ya3ecp9ufEP/WoK1hf/4PHC5eTVFtCk3NDdiq3fC0DifCbQYhjhNP2UZ1YzGHipaTUrqZorqjVDUUoFKqcbUMpp/rtQxxvxWlwjCJzqqMYmfON2RWHqS6qQhzpSXWZs542wxgoPuNBNmPbr23sbmOPblziC9eSXFtKlpdE5ZmDjhofAiyH80Yn8cxV1p06mdzur6PvZysqihu7DWP3k5TjN6zNu0NduV+y0jP+5kS8ArQ9nqJqIJF/HH0SQa4XscU/1fYkvUpiaXrqWzIo6fDBG7sPQ+Aem0127K+IL74Tyoa8rA2d6a34xTG+z7N2vTXiS5cwlU9PtE746M9fU4NfIstmZ9yuGQ1lQ35WJk50ctpMhN9n8PKXH8TjlOt0ahpLGFP7lwSS9dTWp9Os06LrdodP9shDHK/GT/bIa33ZlVGEl+8mrSKXZQ35FDXVI6VmRO+toMY6fUAvrYdP+fpQieJhhBdhJmtBROPvdWue9UuNvT9cLrRsh5PT6bH04ZTWk61/sH7xiF43zjEaNmJsx2M0bjZEvzCJd3yoDbrYFfCv76x3fcXb08BnY6gmRMxs2n/1ree10TgeU1Eh+M72d/LyZRsSwYg+IVLUKjaP4P2dPsT4oSy+ix+PHwTRXVHUSut8bMbioXKlvKGHFLKNlPTVNKuRCOlbAtr0l7FTu2Js0UgPjYDqWosIKsykqyql0gt28YNvebqjToeLdvGz0duQ6trxNM6DD+7wWibm6hoyOVwyWo0ZjatiUazrpmfE27jWMVOLFR2+NsNx0JlR1VjIcV1R9mW/QVDPe7EXN01Eo0BrteTVRVFVMFio4lGs07LoaLlLfe6Xd/udmsaS/gu9jLqtBX42w7Dy7pf64t+vbaK+fHXklsdi0ZlS0+H8SgUKuKKV5BSvgU3S+MHy55KXVMlc+OuoqIhF3/b4bhZ9SKjYj8H8n8kuyqae8NWolKe+lwmgNzqOH5OuI3KxnwszRwIsBuBmVJDWX02sUUrAPQSjY2Z75NWvhtXqxC8bQZgplBTVJvK4ZK/OFKylmtDviLU+YrTeq4LlSQaQogLUtm+tNapPz2enoSl75kP5ZdsS8bSzwmf24adcVtnU/G2ZByGBODWgVGXM+pvS1Lr+p/GEuM7Z4nur1nXzG+Jd1NUd5TejlO4KvgTLM0cWsvrtVVkV0W1qy0v637cG7YSH1v9s1sqG/L5KeFWjpSuJb74T8JcprWWbc+ehVbXyLU9vyLc5Sq9ejWNJZTVZ7X+OaNyH8cqduJpHc5doctQq/45NFWn05FZeQCNyrbdz35i96yOau/J02Eu01iT9jrJZRupbiwxmJqUUraFqsYCvKz74W7Vu939J5VtpIf9WGb0+g6NykavbFPGB+RWx+JpHc6tfX5p7bOuqZJfE+/kSOnadvfzb0dK19DTYQJ3h61Ao2oZGa1oyGNO7BXkVscSX7ySfq7XnLKdem01vxy5g8rGfAa738ol/q9irvpnu/LqxmKKavXXqI30fIDpwV9io9Y/eDSxZB2Lku5jZerz9HSYhFpluO25ME4SDSHEBak2rZjatJZDB33vHNkpiUbop9edcRvnwuDf7zun/VUl5Z/WtsWie0ksXUdudRwOGl+u7fmV3ksfgEZlQ5D9Re1qy9Wqp9Hrtmp3LvZ/mR8SbiS+eLVeolHV2LL1d7DDeIN6VuZOWP3r5by6sWUXPn/boXpJBoBCocDPzvjob1uCHcbhoPHpUJ2OsDSzp7fTFOKKVxBbtJzhnnfrlUcXtnypMsC1/aMZACqFOVcEvW+QZDRoa4ks+BWASwPe0EtsLMxsuSzwHb6OmYDuNA50Uiutmdbj49YkA8BO7cFQjztZn/E2qeU72pVoRBb8QkVDLr42g7g88F2DNXXW5s5Ym+vv5NfT0fBnA6CX08X0db6c2KLlpFXsJMRxUoef60IliYYQ4oLSVbbQvZD433cR/ve17wVSdF8pZZsB6OdytUGScTq0uiaOle8ks/IgVY0FNDXXAzrqtS2jZsV1qXr3e9sMoLA2iaXJjzDG+zF8bAcaXccB4GkdjhIVkQW/4WwZRF+nywy+5e6Ii7wfOe267RXhdj1xxSuILlysl2jUNpWRWLIelUJtMJJzKp7WYTha+Bpcz60+RENzDfZqL/zthhqUu1mF4G7Vl7ya+A4/h5dNP2zVbgbXXY4v+K5syG9XOymlWwCIcLvB+MYdbahuLCGpdD0FNYnUaSto1jUBUFBzBICi2lRCzv5Zrd2GJBpCCCGEOOvK6lumAbl0wg5BRbVH+S3xbgprk9u8p15bpffnSX4vkF9zmOSyTSSXbcJcaYmXdX8C7UfR33U6Thb+rfc6WQQwJeA11qW/yepjL7H62Es4avzxtR1Eb6cp9HG6tM0kxVSC7Mdgp/YktzqO/OoE3K37ABBX9CdNunr6Ok01WEh9KvZtjMJUNOSdtBzAQeNzWomGvdr4QagnRlWadMYPl/2vsoaWqXAd+Xnbn/8ja9Nep7G57W3i//tzJU5OEg0hhBBCnHUK2v+t8qksTrqfwtpkejlezGivh3CxDMbCzA6lQkVR7VFmRY+B/0zbsVW7cV/436RV7OJo2XYyK/eTXRVFeuUetmV/zhVB7zPQ7YbW+4d73kWo8+UcKVlDRuV+Mir3cahoGYeKluFhFcqdoUuxMGvfOo3t2V9SVNuxw1QBrg7+rN33KhVK+rtOZ3v2l0QVLuYS61cBiC5cAnRsEfgJp9pV62R/pwrF6R3Vdrr1DNrp4M9bdlU0q1NfQKkw42L//9HLcRJ2ai/MlZYoFAo2ZLzL9uwv+e/PlTg5STSEEEIIcdbZa1q+qf7vAtyOKqxNIb8mAWtzF27oNcdgZKGkLq3NukqFkiD70a27SzVoa9ibN58NGe+wOvUl+jpdppc82KrdGOJxG0M8bgMgrzqeZSmPk1cTz46cL5nk90K7Yk4p23Jai8E7kmhAyxqM7dlfElu0nMn+L1Fal0ZWVSQ25m5G16acLlu1O4DeAvr/KqvP7LT+Toe92pvC2mSKao8and71X4eL/0KHjmEedzHK6wGD8pP9XIm2SaIhxHnkwDXfUro7lUFL78NpZA9ThyPOkpxFB4ifuQTP6wcR9nnHv4U8U0c/Wk/qxxsIemqS0a2ShTgdwfbjOJD/E4eKljHG57HTPoOitqkUAFtzd6PTl05s49oeapUVF3k/zL68+VQ05FJcdxRvmwFt3u9hHcowj7v5M/Vp8qoPt7sfY+c7nA0ulj3wtR1MZuUBUso2k1nZcnhrP5erUSk675XPy7o/5kpLyhuyyaw8gK+t/rq3wtqUDn0+Z0MPh7GklG8hqvA3BrZjnUZtUxkAdhrDqVvVjcUcLdt+NsLs9jpnfEoIIYQQ4iR6OU3BwyqUsvpMliY/Sl1ThV55vbaK1PJTv8w5WwShQElBbSJpFXv0yqIKFhFX9IfRejtzZlNeb7hdbHZVDFUNBShQYnd8fUBq+Q6SSjeiPb4Q+IRmnZbksk0AZ3UXqTNxYmepqIJFxBQubbl2GtOmTkatsiTi+DSzv469Qk1jSWtZvbaK1akvoqO5U/vsqEHuN2Fr7kFm5QH+OvYyjc11euXVjcWkV+xr/bOLZcuXdzGFv7duKAAtz/PH0Sep05afm8C7GRnREEKILsb10lBGDvTDzK5rHAYmRGdQKpTc0GsOPyTcSELJX6SWb8PPdigalS0VDTnkVcfjZdP/lFvcWps7M8TjdvblzWdB/HUE2A3HxtyN/JojFNQe4SLvR47Ppde3Letz1qW/iatlT1wse2KmUFPekENm5QF0NDPa65HW3Y7yaxJYk/YaFio7PK3DsFG706itJbsqisrGfGzM3Rjt/fBZ+ZzOVJjzlaxJe4WEkr8BOnx2RntN9H2OjIp95FTH8HnUKALsRqJUKEmr2IOFyo5ejheTWLoOlULd6X23h0Zlw4295/HzkdvYl7+AuOIV+NoOwUypobw+i9zqeMJdprVOq4pwm8Ge3DnkVsfyeeQI/OyGotPpSK/cg0qhJsL1BqIKfzPJs5zPJNEQQoguxtzOEnM7ORBKdD+OFn480G8te3PncbjkL9Ir9qJDi425GyGOk4hwm9Gudi4NeAN3qz4cyP+B7KpolApzvGzCudj/J1wsg40mGpcFvs3R8m3kVB0irXwXjc112Krd6OU4mSEetxPsMLb13l6Ok6lrqiC9Yg8ldWlkVh5ErbLCXuPNYPdbGeJxm8EZDF2FhZktfZymcqhoGdDxszM60s9dYcvYmvU58cUrSS7bhLW5E32dL2OC77P8nvwggN75JOeat01/Huq/kd0535NUup7U8m0oUGKrdifc5SoGu9/Seq+lmQP39fubTRkfkFq+naTSjVibO9PHaSoTfJ/mQP5PJnuO85lCp9PJ8nlx3oiMjGTQoEEMW/sYdv28TR1Op9DWNJC5cDcFq+OoTi6guaEJjZsdtv288bphMK4T//kmqq01Gg1FVeQtj6ZoUyLVRwtpKKhEqVZh3dMNz2sH4nPbcBQqw5mS5VGZpH29lfID6TQUVaGyNMfc2Qb7CF+8bxqC0+h/tgXU1jWS8f0O8v88RE1qEc1NWswdrLD0dcRpdDCBMyegsjA/ux9WO+277EvKIzPpP/823C4JNXpP0uurSJ+9Hf8HLiLk1cv1yoo2J5K5YDcVkZk0ltdi7miF48ggAh8bj20fT717azNL2DH0fSx8HBm1+xkyvt9B7u9R1BwrQmmuYnzi6wBUpxRy7ItNlO5Kpf7434+5ozW2YV54To/A/fLw1jZPtUajLruM9O+2U7w5idqsUhQqJRYedjiO6oHvHSOw6e2hd39VYh5pX26lZNdRGoqqMLPWYBfhi99dI3GZaPhN56nWaBRuSCBz3i4qorNoqqpH7WqD06geBDwyDpsQd4P7tw95j7qsUkbve47KuFwy5uygMj6XpvJahq9/HNsw49tZni8qDmWzd8oXHDx4kIEDB566wnnoxO/e+8PX4GUTfuoK4oJW11TBZ1EjqGsq55nBMV02KTOVnKpYvo29pFv/zjhBRjSEMKHazFIib5xLzdFCVNZqHIYGYGZnQV1OOcWbEmksrtZLNNpSvCWJxFdWovGyxyrQBftBfjQUVFJ+MIPyyBUUb02m//zb9BbDFW9NIurWBegatdiGeeEwxJ/mxmbqc8vJXxWLykbTmmjompuJvnU+JTuOYmZngeOIIMzsLGgorKT6aCHHPt+E710ju0yi4Xn9YMojM8lZdNBooqHTNpO7LBrA4PC+Iy//SebcnSjMlNgN8MHR056aY8Xk/xFD4Zp4+s251fjfiU7HoXt+omhzIo7DA7EOcaMuuwyAyoRc9l/5DdqqeqyDXXGd3AcUUJ9XQfGWJJrrGvUSjZMp3pLEoft+oqmyHo2HHS7jQkCpoDa9hKwf96J2sdFLNArWHib2/p9prm/Cupc7jsMCW36+tiRRvCmRwJkTCH5uSvs+WCD57b9J+3ILKBU4DA3AwtOeysO55C6JJH/lIfp9fwuuk/oYrZs+ezuZ83ZhF+GLy4ReLZ+PsvO2PBVCnFs5VYfwsA5D+a8taWsaS/gz9Vlqm8oIcZwkScYFThINIUxE19xMzF0/UHO0ENcpfQn97DrMHaxay5uq6imPat/2gLb9vBm6+mHsB/rpXa/PryDqlvkUrj1M/p+H8JjWv7Xs2Kwt6Bq1hH19I55XD9Cr11BSTV1maeufy/amUbLjKLbh3gz54wFUVv/MudXpdJTvT8fMRtPuZz8xMtNRk3Pfb9d9Hlf1J+m1lRRtPEJDcTVqZ2u98qItSTQUVGLbz1vvpTxz4R4y5+7Eupc7/b+/Beue/5xOW/B3PIfu+4m4h39j9J5n9f6ugNakYuSWJ7EKdNEry/huB9qqeoJfuITAx/S3mGyqrqcqIa9dz1WbVUrMvT+hraqnx7MXE/DoOJRmKr3yxuJ/LWIsqCT+0d9orm8i5NXL8H9gTGtZya6jRN0yn2OfbcJhaAAu43udsv/CjUdI+3ILKis1ET/dieOIoNaytK+3kvzmX8Q9/Bujdj6D2sXGoH7WD3sY8OMdbSYiQojzy6+Jd9Ks0+Jm1QsrM2eqGgvIrY6jXluJndqTywLfNnWIwsQk0RDCRArXJlAZl4OFryPh39yEylJ/NMDMRoPzRe070dTYdBUAjbsdPV++lMgb5pK/KlYv0WgorATAZYLhC6bayRq10z8v5w1FLSehOg4L0EsyABSKlm+2O8J5fAgWvh07obYjzO0tcb0klPw/YshbHo3fPaP0ynMXtWz5+O/RDJ22mdRPNwDQ79ub9ZIMALdLQ/G5dRiZ83eTuzQKv7v12wQIfvESgyQDoKGw5fMz9lmbWWtwGOxvcN2YjG+3o62qx31aP4KemGhQbunjiKXPP59r9k97aaqsx2FIgF6SAeA0sgd+d48i7cstpM/e1q5EI2P2NgD87hmll2QABDw0loK/4ig/mEHWT/sImjnBoL7XjMGSZAjRjYzwvJ/E0nUU1CRR21SGUqHCUeNHiOMkRnrdL6MZQhINIUylaHMiAJ7XRBgkGaejuUlL6Y6jlB1Mp6Ggiub6RnQ60FbVA1CTWqR3v32EL9VJBcQ+9CtBj0/AfpCf0XUcALbh3ihUSrJ/3Y9VD1fcLgtD49q+E3GNCXy08w6OaovX9YPI/yOGnEUH9BKNxrIaCtcloFCr9EZyKuNyaMivxLqXOza9jCdujiOCyJy/m/KDGWAk0XC7NMxoPbsIH4o2HiHhuWX0ePZiHIcHodR0/Ndv0eYkALxvOvXhUwCle44B4Hm98TnAXjcMJu3LLZTtS0OnbW7z7x9afr7K9qe3tPef6Wat7c0YTPnBDEp3HwUjiYbbVOOfjxDi/DTS6z5Get1n6jBEFyaJhhAmUpfVMjXJOtj1jNuqPlpIzJ0/UJ1c0OY9TZX6e4gHv3gplfG5FG9KpHhTIkpLc+z6++A0ugee1w7Eyv+fb6KsApwJef1ykt5YzZEX/uDIC39g6e+Ew2B/XC/pi9ulYSd9STUF57E90XjZUxmXQ2VCbusi7rwVh2iub8LtsjDMHf+Z/lSb0bIPfHViPus9nztp2w3FVQbX1C42bSaMAQ+ObZl+tj2FyBvmotSYYRvqieOIIDymRxgsMG9LXXbHfmbqc1v2fbf0M77ri6WvIygVNNc10VhaY3S60wmNpTU01zeBUoGlj4Px9vydjvdbYbTcoo16QgghuidJNIQwlVOcUtoRh+79ierkAlyn9CXgobFY93TDzM4ChUpJ9dFCdo3+CP6zv5zGzZZhax+ldFcqxVuTKdufTkVUJmV7jnHss030+eAavG8c0nq/392jcL+iHwV/x1O2L42yfWnkLo0id2kUtmFeDF52P2a27Tv34diszVSnFHb4OTtySrZCqcRz+kDSZm0mZ9FBer3WsrNU7pKDgOEicJ225XApjacdThf1PGnbxl70lSdZCK+yUjNo8b2UR2ZQtDmRsn3plB9Mpzwyk7SvthL0zGR6PDmpPU/VjnuMVevkBden2V5njNwJIYQ4f0iiIYSJWHg7AC2jEWeiOrmAqoQ81C429J97q8HIQk1acZt1FUolTqODW3eX0tY0kDFvFylv/82RF//A/fJwveRB42aL7+3D8b19OACV8TnEPbqIyrgcjs3aQs8XL2lXzMWbk05rMXhHEg0ArxmDSJu1mbxlUfR8+VJq00ooP5iB2s0W5/EhevdaeDkAoHGz63A/7WU/0K91wX5zQxN5y6M5/PRSUj/agMeV/U85UmHh7UDN0UKqjxa1xnsyGk97qlMKqU0vBiPrfWozS6FZh9LCDDOHk5/bYe5ohVJjRnN9E7WZpVgHGa5FqU0vOd6v3SljE0II0f1JoiGEibiMCyH7x73kLo0i8PHTP4OisawGAI2HndHpS3lLo9rdlspKTeAj48icv4v6nHKqjxZiP8C3zfttQ73wu2cUh59aStXh3Hb3M3jZ/e2+90xY93DFfog/5fvTKd6c9M8ag2sG6O3WBGAX4Yu5oxWVcTnUHCsyuqi7MynVZnjNGEz2L/sp25dGVULuKRMN53Eh1BwtJPuXfe3aKMBxeCAl21PIXRKJzy3DDMpzfmtZFO8wNMDg8zCI10yFwxB/SnYcJXfJQaNb4uYsbmnPcUQPgzIhhBAXnq41qVqIC4jrJX2xDfOiLrOUuId/o7GiVq+8qaqe4u0pp2zHKtAFlAqqjuQZjBJk/7afvD9ijNZL+2Zr65as/1YenUVDfiUoFa3fmpfsSKFw4xGam7R69+q0zRRtbFnU3lXn33tdPwiAnF/3k7s0suWakcXMSnMVQU9MRKdtJvrOH4xuLdzc0ETB2sMnXQtjTOaC3UanitWkF1OVlA+Ahc+pd+Hyv/8iVNZq8v+I4dgXm1une51Ql11GRUxW65+9bxmGykZD2b40Mubs1Lu3dHcqmfN2HW9Xf0eqtvjdfxEAGd/voGxfml5Z+uxtlB/IwMzOAu+bhxipLYQQ4kIjIxpCmIhCqaT/3Fs5eMMcCv6Ko3hbcuuBffXZ5VTG52DX3+eU31yrXWzwvWMEmfN2ceDa73AcEYTGzZaqhDyqjuQR8Oh40mZtNqh37LNNJL/xF9Y93bDu6YZSY0ZddhllB9KhWUfAI+PQuLXsLFV5OJekV1dhZmeBbbg3GjdbtLWNlEdl0JBfidrNloCHx52Nj+mMeUzrT+L/VlLwdzyAwdkZ/+Z372hqs0rJ+G4H+6Z+iU1fT6z8nVCoVdTnVlAZl4O2poGIn+8y2P72ZLJ+2tu6gN6mtwcqKzUNhZWU7ktD16DF/ar+2Ee0PXJ0gqWvI/2+vZlD9/9MyrtryFywC/sIP1BAbUYplfE5BD0xEbv+PkDLVLewWTOIfeAXEv/3J9m/7MOmtwf1eRWU7j0GzToCZ04wuu2uMa6T+hDwyDjSvtzC/qtn4zgsEI2HXevPmtLCjLAvbzijHcmEEEJ0H5JoCGFCln5ODF/3OJlzd5K/Oo6yvcfQaXVo3Gxxmdzb6DfvxvR68wps+niQtXAPFVGZKMxV2PXzJuJ/d2Hd09VootH7naso3pZMRUwWJbuO0lzXiMbNDtfJffC9YwTO4/5Zw+B6cV+aKuoo3XOM2mNFlB9IR2WlxsLbAZ/bhuN72/CT7lhkSma2FrhNDSNvWcsUslN9pr1evwK3S0LJ/GEP5fvSKEwpQGVh3vp34npxXxyHB3YohuDnplC4PqFlsf3+dJqq6tC42OA4PAifW4bidln7t311mdibEZueIH32Noq2JFG08QhKtQqNpz2+tw/H/Yp+eve7XRLKsDWPkvblFkp2HiV/VWzLGS1je+J796h2nTz/bz1fuhSHoQFkzttFRUwWZQfSUbtY43ntQAIeGdfm1sBCCCEuPAqdTqc79W1CdA2RkZEMGjSIYWsfw66ft6nDEUIIKg5ls3fKFxw8eJCBA42fWXK+O/G7d3rwLFwsT74rmxDi5Ipqk1ma8mi3/p1xgoxoCCGEEOKkXFxcsLSwYmnKo6YORYhuwdLCCheXs7vpSFcgiYYQQgghTsrPz48jiQkUFRWZOhQhugUXFxf8/PxMHcZZJ4mGEEIIIU7Jz8/vgngxEkJ0HtneVgghhBBCCNHpJNEQQgghhBBCdDpJNIQQQgghhBCdThINIYQQQgghRKeTREMIIYQQQgjR6STREEIIIYQQQnQ6STSEEEIIIYQQnU4SDSGEEEIIIUSnkwP7xHmpOrnA1CEIIQQgv4+EEKItkmiI84qLiwsWVpbEPfKbqUMRQohWFlaWuLi4mDoMIYToUhQ6nU5n6iCE6IiMjAyKiopMHYY4rqmpibvuuouqqip++eUXLCwsTB1St1RbW8tNN92EnZ0d8+bNQ6VSmTok8S8uLi74+fmZOgwhhOhSZERDnHf8/PzkH/Qu5P333ychIYGdO3cyfPhwU4fTrf3222+MHj2azZs38+yzz5o6HCGEEOKkZERDCHHa4uPjGThwIDNnzuT99983dTgXhGeffZbPP/+cqKgo+vbta+pwhBBCiDZJoiGEOC2NjY2MGDGCmpoaIiMjZcrUOVJXV0dERAQ2Njbs3r0bMzMZmBZCCNE1yfa2QojT8sEHHxAdHc3ChQslyTiHLCwsWLhwIZGRkXzwwQemDkcIIYRok4xoCCE6LDY2lkGDBvH000/zzjvvmDqcC9ILL7zAxx9/zMGDBwkPDzd1OEIIIYQBSTSEEB3S2NjIsGHDaGho4ODBg2g0GlOHdEGqr69n0KBBaDQa9uzZg7m5ualDEkIIIfTI1CkhRIe8++67HDp0iIULF0qSYUIajYYFCxYQExPDe++9Z+pwhBBCCAOSaAgh2i06Opo333yTF198kUGDBpk6nAve4MGDef7553njjTeIiYkxdThCCCGEHpk6JYRol4aGBoYMGQLA/v37UavVJo5IQMsUqiFDhqBSqdi7d6/8vQghhOgyZERDCNEub7/9NocPH2bBggXyMtuFnJhCFRcXJwvzhRBCdCmSaAghTikyMpK3336bl19+mYiICFOHI/5j4MCBvPTSS7z99ttERkaaOhwhhBACkKlTQohTqK+vZ/DgwZiZmbFv3z7Z3aiLamhoYNiwYWi1Wg4cOCCjTkIIIUxORjSEECf1xhtvkJiYyMKFCyXJ6MLUajULFiwgISGBN99809ThCCGEEJJoCCHatn//ft5//31eeeUV+vXrZ+pwxCn079+fV155hXfffZcDBw6YOhwhhBAXOJk6JYQwqq6ujkGDBmFpacnu3btlNOM80djYyPDhw6mrq+PgwYNYWFiYOiQhhBAXKBnREEIY9dprr5GSksKCBQskyTiPmJubs3DhQlJSUnj99ddNHY4QQogLmCQaQggDe/bs4cMPP+T1118nLCzM1OGIDgoLC+PVV1/lgw8+YO/evaYORwghxAVKpk4JIfTU1tYSERGBvb09O3fuxMzMzNQhidPQ1NTEiBEjqKqqIioqSqZQCSGEOOdkREMIoeeVV14hLS2N+fPnS5JxHjMzM2PhwoWkpqbyyiuvmDocIYQQFyBJNIQQrXbt2sXHH3/Mm2++Sd++fU0djjhDffv25c033+Sjjz5i165dpg5HCCHEBUamTgkhAKipqWHAgAE4OzuzY8cOVCqVqUMSnUCr1TJ69GhKSkqIjo7G0tLS1CEJIYS4QMiIhhACgJdeeonMzEwWLFggSUY3olKpmD9/Punp6bz88sumDkcIIcQFRBINIQTbt2/n888/5+2336ZXr16mDkd0st69e/P222/z6aefsmPHDlOHI4QQ4gIhU6eEuMBVV1fTv39/PDw82Lp1q4xmdFNarZYxY8ZQUFBAdHQ01tbWpg5JCCFENycjGkJc4F544QVycnKYP3++JBnd2IkpVNnZ2bz44oumDkcIIcQFQBINIS5gW7ZsYdasWbz33nv07NnT1OGIsywkJIR33nmHL774gq1bt5o6HCGEEN2cTJ0S4gJVVVVFeHg4fn5+bN68GaVSvne4EDQ3NzNu3Diys7OJiYnBxsbG1CEJIYTopuTNQogL1HPPPUdBQQHz5s2TJOMColQqmTdvHnl5eTz//POmDkcIIUQ3Jm8XQlyANm7cyNdff80HH3xAjx49TB2OOMeCg4N5//33+eqrr9i0aZOpwxFCCNFNydQpIS4wFRUVhIeH06NHDzZs2CCjGReo5uZmJk6cyLFjx4iNjcXW1tbUIQkhhOhm5A1DiAvMM888Q3FxMXPnzpUk4wKmVCqZO3cuRUVFPPPMM6YORwghRDckbxlCXEDWrVvHd999x0cffURgYKCpwxEmFhQUxIcffsi3337L+vXrTR2OEEKIbkamTglxgSgvLyc8PJxevXqxbt06FAqFqUMSXUBzczMXX3wxSUlJxMXFYWdnZ+qQhBBCdBMyoiHEBeKpp56irKyMOXPmSJIhWp2YQlVaWspTTz1l6nCEEEJ0I5JoCHEB+Pvvv5k7dy6ffPIJ/v7+pg5HdDH+/v58/PHHzJkzhzVr1pg6HCGEEN2ETJ0SopsrKysjNDSU8PBw/v77bxnNEEbpdDqmTJnC4cOHiYuLw8HBwdQhCSGEOM/JiIYQ3dwTTzxBVVUV33//vSQZok0KhYK5c+dSWVnJk08+aepwhBBCdAOSaAjRja1atYoFCxbw2Wef4evra+pwRBfn6+vLp59+yvz581m9erWpwxFCCHGek6lTQnRTJSUlhIWFERERwapVq2Q0Q7SLTqfjsssuIzo6mvj4eBwdHU0dkhBCiPOUjGgI0U09/vjj1NTU8N1330mSIdpNoVDw3XffUVNTw+OPP27qcIQQQpzHJNEQohtasWIFP/30E1988QXe3t6mDkecZ3x8fPj888/58ccf+fPPP00djhBCiPOUTJ0SopspLi4mNDSUoUOHsmLFChnNEKdFp9Nx5ZVXcuDAAeLi4nB2djZ1SEIIIc4zMqIhRDfz6KOP0tDQwLfffitJhjhtCoWCb7/9lvr6eh577DFThyOEEOI8JImGEN3I0qVL+fXXX5k1axaenp6mDkec57y8vPjiiy/45ZdfWLZsmanDEUIIcZ6RqVNCdBOFhYWEhoYyatQoli1bJqMZolPodDquvvpqdu/eTXx8PC4uLqYOSQghxHlCRjSE6CYeeeQRmpubmT17tiQZotMoFApmz55NU1MTjzzyiKnDEUIIcR6RREOIbmDx4sUsXryYr776Cnd3d1OHI7oZDw8PvvrqKxYtWsSSJUtMHY4QQojzhEydEuI8l5+fT2hoKOPHj2fx4sUymiHOCp1Ox7XXXsu2bduIj4/Hzc3N1CEJIYTo4iTREOI8Ji9/4lwqKCggNDSUsWPHsmTJEklqhRBCnJRMnRLiPLZo0SKWLVvG119/LUmGOOvc3Nz4+uuvWbp0KYsXLzZ1OEIIIbo4GdEQ4jyVl5dHaGgokydP5rfffjN1OOICMmPGDDZs2EB8fDweHh6mDkcIIUQXJYmGEOch2XJUmNKJrZRHjhzJ8uXLZQqVEEIIo2TqlBDnoZ9//pkVK1Ywe/ZsSTLEOefq6so333zDihUr+OWXX0wdjhBCiC5KRjSEOM/k5OQQGhrK1KlT+fnnn00djriA3XTTTaxZs4b4+Hg5iV4IIYQBSTSEOI/odDquvPJKDhw4QFxcHM7OzqYOSVzAiouLCQ0NZejQoaxYsUKmUAkhhNAjU6eEOI/88MMPrFq1im+//VaSDGFyzs7OfPvtt6xcuZIff/zR1OEIIYToYmREQ4jzRFZWFmFhYVx55ZX88MMPpg5HiFa33norK1euJD4+Hm9vb1OHI4QQoouQREOI84BOp2Pq1KnExMQQHx+Po6OjqUMSolVJSQlhYWEMGDCA1atXyxQqIYQQgEydEuK8MH/+fNasWcP3338vSYbocpycnPjuu+/4+++/WbBgganDEUII0UXIiIYQXVxGRgbh4eFMnz6defPmmTocIdp05513smzZMuLi4vD19TV1OEIIIUxMEg0hujCdTseUKVM4fPgwcXFxODg4mDokIdpUVlZGWFgYoaGhrFmzRqZQCSHEBU6mTgnRhX3//fesX7+eOXPmSJIhujwHBwe+//571q1bx5w5c0wdjhBCCBOTEQ0huqi0tDTCw8O54YYb+P77700djhDtds8997Bo0SLi4uLw9/c3dThCCCFMRBINIbqg5uZmJk+eTHJyMnFxcdjZ2Zk6JCHarby8nPDwcEJCQli/fr1MoRJCiAuUTJ0Sogv69ttv2bRpE/PmzZMkQ5x37O3tmTNnDhs3buTbb781dThCCCFMREY0hOhiUlNT6devH7fccguzZ882dThCnLb777+fn3/+mdjYWAIDA00djhBCiHNMEg0hupDm5mYmTJhAWloasbGx2NramjokIU5bZWUl4eHhBAYGsnHjRpRKGUQXQogLifzWF6IL+frrr9m6dSvz5s2TJEOc92xtbZk7dy5btmzh66+/NnU4QgghzjEZ0RCii0hJSaF///7ceeedfPnll6YOR4hO8/DDD7NgwQIOHTpEjx49TB2OEEKIc0QSDSG6gObmZsaOHUt2djaHDh3CxsbG1CEJ0Wmqqqro168fPj4+bNmyRaZQCSHEBUJ+2wvRBXzxxRfs2LGD+fPnS5Ihuh0bGxvmzZvH9u3bmTVrlqnDEUIIcY7IiIYQJpaUlET//v257777+Pzzz00djhBnzWOPPcacOXOIiYmhZ8+epg5HCCHEWSaJhhAmpNVqGTNmDAUFBURHR2NtbW3qkIQ4a6qrq+nfvz8eHh5s3boVlUpl6pCEEEKcRTJ1SggT+uyzz9i9ezfz58+XJEN0e9bW1syfP59du3bJ6J0QQlwAZERDCBM5cuQIAwYM4KGHHuKTTz4xdThCnDNPPPEEs2fPJioqit69e5s6HCGEEGeJJBpCmIBWq2XUqFGUlpYSFRWFlZWVqUMS4pypqalhwIABODk5sXPnTplCJYQQ3ZRMnRLCBD7++GP279/PggULJMkQFxwrKysWLFjAvn37+Pjjj00djhBCiLNERjSEOMcOHz5MREQEjz32GB9++KGpwxHCZJ555hlmzZpFZGQkffv2NXU4QgghOpkkGkKcQ01NTYwYMYKqqioiIyOxtLQ0dUhCmExtbS0RERHY2dmxa9cuzMzMTB2SEEKITiRTp4Q4hz744AMiIyNZsGCBJBnigmdpacmCBQs4ePCgjO4JIUQ3JCMaQpwjsbGxDBo0iKeeeop3333X1OEI0WU8//zzfPLJJxw8eJDw8HBThyOEEKKTSKIhxDnQ2NjI8OHDqa+v5+DBg2g0GlOHJESXUVdXx6BBg7CwsGDPnj2Ym5ubOiQhhBCdQKZOCXEOvPfee8TExLBgwQJJMoT4DwsLCxYsWEBMTAzvv/++qcMRQgjRSSTREOIsi46O5o033uD5559n8ODBpg5HiC5pyJAhPPfcc7zxxhvExMTolTU2NpKXl2eiyIQQQpwumTolxFnU0NDA0KFDaW5uZv/+/TKaIcRJ1NfXM3jwYMzMzNi7dy9qtRqAn3/+mZkzZ1JQUIBCoTBxlEIIIdpLRjSEOIveeecd4uPjZcqUEO2g0WhYuHAhsbGxvPPOO63Xra2tKSoqIj8/34TRCSGE6ChJNIQ4SyIjI3n77bd58cUXGThwoKnDEeK8MHDgQF588UXefvttoqKiAAgMDATg2LFjpgxNCCFEB8nUKSHOgvr6eoYMGYJSqWTfvn2tU0CEEKfW0NDAkCFD0Ol0HDhwgNraWhwcHPjll1+48cYbTR2eEEKIdpIRDSHOgjfffJOEhAQWLlwoSYYQ7ZCZmdk6YqFWq1m4cCEJCQm8+eab2Nvb4+joKCMaQghxnpFEQ4hOduDAAd577z1eeeUV+vfvb+pwhDgvvPfee4SEhPD4449TUlLCgAED+N///se7777LgQMHCAwMlERDCCHOMzJ1SohOVF9fz8CBA+XgMSE6qK6ujs8++4x33nkHMzMzXnvtNe655x5Gjx5NQ0MDISEhVFZWsn79elOHKoQQop1kREOITvTaa6+RnJzMggULJMkQogMsLCx4/vnnSU5O5tprr2XmzJkMHDiQu+66i8TERHJycmREQwghzjMyoiFEJ9m7dy8jR47kzTff5MUXXzR1OEKc12JiYnjyySfZtGkTPXr04OjRo5iZmVFXV4dKpTJ1eEIIIdpBEg0hOkFdXR0RERHY2Niwe/duzMzMTB2SEOc9nU7HypUrefrpp0lOTgYgOTmZ4OBgE0cmhBCiPWTqlBCd4JVXXiE1NZWFCxdKkiFEJ1EoFFx55ZXExcXx7LPPYmNjI6MZQghxHpERDSE6YMWKFdjb2zNu3LjWa7t27WL06NG8++67PPfcc6YLTgghhBCiC5FEQ4gOGDRoEIMHD+bbb78FoKamhgEDBuDk5MSOHTtkNEMIIYQQ4jh5KxKiA44dO8b06dNb//zyyy+TkZHBn3/+KUnGeSYjI4OioiJThyGEEJ3OxcUFPz8/U4chhCQaQrRXeXk5paWlBAYGArB9+3Y+++wzPvzwQ3r37m3i6ERHZGRk0Kd3H2pqa0wdihBCdDorSysSjiRIsiFMThINIdopLS0NgMDAQKqrq7nrrrsYMWIEM2fONGlcouOKioqoqa3hpXu+x9+zl6nDEUKITpOem8jbc+6lqKhIEg1hcpJoCNFOJw4LCwwM5MUXXyQrK4vVq1ejUqloamri+++/Jzs7m7feesvEkYr28vfsRYj/AFOHIYQQQnRLsr2tEO107NgxLC0tSUhI4IsvvuDdd98lJCSENWvW0L9/fx5++GEaGxtNHaYQQgghRJcgiYYQ7XTs2DH8/Py46667uOiii5g8eTJTp07l0ksvxdXVlQMHDvD++++bOkwhhBBCiC5Bpk4J0U5paWnU1dWRn5/P6NGj6d+/P/7+/ixdupSrr74ahUJh6hCFEEIIIboMSTSEaKe4uDjS09OxtLRkxYoVvPfeezz66KNoNBpThyaEEEII0eVIoiFEO2VkZABw22238cYbb+Dm5mbiiIQQQgghui5JNIRop2eeeYYpU6Ywbtw4U4cihBBCCNHlSaIhRDu9++67pg5BiE7x986feX/+g0wZeRMv3DW7XXVyi9K58flw3J39WPR+3FmO0DRmPBdGfnEGv74Xi6eLf6e2nVecwe3/G8LI/pfy6v0LOrXtM6XT6bjnjdFUVpfy41sH0agtTR3SOVNYmsNvaz9nX+x6CkqzMVOZ4+LgSVjwcO648gVcHb061F5VTTk/rf6I7VErKSjJxtrSlrDg4dx86ZP0CRpstM6Jn7u2XDH2Lp669bMOxSFEVyGJhhBCiG7vdJKrzvT14pdo0jZy91Uvn/O+T0WhUHD3VS/z4qwZ/LrmM+648gVTh3RO7I1dx2uz76C2vooAr96M7Hcp9Y21ZBeksnr7QqaMvKlDiUZxeT6PvjeZnMI03J39GD3gMgrLctgRtYpdMX/zyn3zGDf46jbrjxk0DUuNtcH10KAhp/V8QnQFF1SikZGRQVFRkanDEKJbcHFxkVNnhWiH2OQ9bDu4gotH3ICPe7CpwzFqZP9LCfEbwG9rPmfauHtwtHM1dUhnVUpmLC9/dTNqcwven7mUYWGT9cqz8o9iY2XfoTY/WvgoOYVpTBg6nRfv/h4zVcsr1o6o1bzy9c28N+9BwoKH4+LgabT+g9e91ekjaUKY2gWTaGRkZNCrT2/qampNHYoQ3YKFlSWJCUck2RDiFH7f8DUAl110u4kjOblLR9/C5788zaptC7j18mfOal9NTY3EHd3LgF6jz2o/bfnkx5k0NtXz8r1zDJIMAB/3Hh1qLzX7MLsPrcHa0o6nb/uiNckAGB1xGRePuJE1u37m9/Vf88B1b55x/EKcLy6YRKOoqIi6mlqCZ03HsqeLqcMR4rxWm1xEyqNLKSoquiASjYy8ZH5e/RHRiTsoLs/D3EyDnY0TPf36MXn4DMYOmmZQ53Dqfpas/4rYlD2UVRRibWlHaI+h3HDJTPr1HGFw/7h77ADYMqeClVvns2LLXDLzk9GYW9A/ZDR3XvUSQd59jfaz9eAKoo5sp7Aki8qaMuxtnAkNHsaMix8ltMfQzv9AjKitr+aPTd+z5eByMvNSaNI24uUawNhBVzFjymNYWdjo3T9/xTssXPket1/xPNPG3cP8FW+zO3Yt5ZVFODt4Mn7wNdwx7QU05hYGfTU1NbJ4/Zes2fkzuUXp2FjZMyR0Andf9T/+2vFja7t3TnsR0J8Dv3bXL6zd9UtrW21NpToQv4lf/v6UxPQomrSNBPmEcsvUpxk1YGqHPpeislx2RK/C0yWAfj1Htnlfek4iSzZ8RWTCVorKclGbW+Dm6M3g0AlcM/F+PJxb/j+LOrKdJz66jP4ho/ngiWX8tPpDNu79naKyXJztPbh09C3cPPUpVEoVBSVZLPjzXfbFbaC8qgQf9x7ceMlMLh5xg9EYJg69lq8WvcDKbfO5eepTKJWde6avTqfjUPIuNuxZzNaDf2BpYWuS9T6JaVEcTt2Pu7MfYwZe2Slt7ohaBbSMDFlZ2BqUTxp+PWt2/cyO6FWSaIgLygWTaJxg2dMFm/COLe4SQly4UrPieeS9i6mpq8TPI4SR/S8FhYKi0hz2x2+kvqHWINFYtHYWs39vmYvf028AoUFDKSzNZs+htew5tJYnb/2My8fcYbS/L397nmUbZxPecySjBkwlOT2G7VEr2R+/kQ+eWG6QpMxZ/ibRidsJ9OpD78BBmJtryMxLZtvBFeyIWnXKeeGdoaAkm2c/u5q0nCM42LoQ2mMIanMLjhyLZOHK99gRtYrPnlmNrbWjQd3C0mzue2sM6HSE9hhGTV0Fscl7+HXNp6TnHuGdRxfp3a9t1vLilzPYF7cBjdqSQX3GYqmxIfLINva+OYYR/S4x6GPsoGkcTt1PXMoevFwDCf/XZxgebJj0/bXjB35a/RG9AwYyLHwymXkpJKQe4OWvbuTV+xcybvBV7f5s9hxai1bbxMA+Y9s81HPtrl/46IfHaGxqwMs1gJH9L6WxqYHsglQWr5tFoHdfLh11s16dJm0DT38yjbTsBAb0uggf9x4cStrFvD/eoqg0lxlTHuWR9y7GQm1FeM8RFJXlEpu8m3fm3odCoWDy8BkGcdjZONHTvz8JqQdIyoimd8DAdj/nyaRkxrJx7xI27vudgpIsABxsXZg49NpOab+jDhzeBEB48HAAdsX8TfSR7dQ11OLp4s9FA6/o8IhGSsYhgDY/sxPXswtSqamrMki8Af7e8SMV1SXodDrcnHwZGjaRnn79OxSHEF3NBZdoCCFERyxZ/xU1dZXce82r3Dz1Kb2ymroqjmXH613bG7uOb5a8hIuDJ2889BN9/7WQMzZ5D89/cS2f/fwU/UNG4evR06C/VdsW8Okzq+kfMgpo+Rb4+2Wv88vfn/DW93fz49uRet/yz5jyKC/fMwcne/1zXXZF/80r39zCJz/OZHj4FCw0Vmf8WRij0+l4/dvbScs5wtUT7uOBa99s3bWovqGWj354jPV7FvHloheMjhz8teNHLrvodmbe/DHmZmqg5dv9B94ez66Yv4lN3kN4z+Gt9y/bOJt9cRtwd/bjs6dX4ekaAEBDYz3vzX+ANbt+Nujjoevf5u+dPxOXsofwniNOuRj8tzWf897jv+tNqflh1QfM++Mtvl/2WocSjejE7QBtjiwdOXaQDxY+gk6n45nbv2Tq6Fv1EpL0nESj9eKP7iO85wh+fS+2dS1BSmYsD7w1jlXb5hOTtIMJQ6fz0PXvoFKqAFi+6Ts+/+Vp5q94x2iiARAaNJSE1ANEJWw7o0QjtyidjXuXsGHvEtJyEgCwtrRjysibmDj0Wgb2Gac3veiEE4v2O+q5O78xSMbakpoVfzweW5746PLWv6MTvl/+Ordf8Ry3X/F8u/vPLUoHwN3Z+AivjZU91pZ2VNdWkFecYXR08odVH+jHsew1Rg24jOfv/Npoki7E+UASDSGEOInSigIAhhqZx21lYUNoj2F61xb82bIN8jO3z9JLMgDCew7n1sufZfaSl1m5dT4PzXjHoM0rx93dmmTA8R2Brv4fWw4sI6cwjW0HV+i9JBqbXw4wcsCljBt8FRv2LiEqcZvRb/o7w7649cQf3UffoCE8esMHetNtNGpLnrz1Mw7Eb2LD3sU8MuNdgxcmNycfHrvxg9YkA8DfqxcXj5jBii1ziTyy5T+JxrcA3H3Vy61JBoDaXMNjN37Erpg11NVXn9EzXT3hfoPP9cZLZrJo7SyyC1LJL87E3dm3XW2lZMa2PJNniNHyH1d/hFbbxI2XPMFlF91mUO7v1ctoPaVCydO3fqG3YDnYN5xh4RezM3o19Y11PHDtm61JBrRskzp/xdvkFB5r8xkCvHoDkJwZ067n+7eyymK2HFjGhj2LiU/dh06nQ6O2ZOygq5g49FqG9bvY6FS4f/N2C2LKyJs63Le3W1C7762oLgVg9fYfMDNT89StnzM64nK0zU1s3r+M75a+xvwV7+Dm6MOlo29pV5u19VUAJ03oLTXWVNdWUFtXqXd9RL8p9Os5kt6BA3F28KSoNIfIhK3M++Mtdkav5qUvb+SzZ/7q9KlsQpwLkmgIIcRJ9A4cxJ7YdXzy00zunvYy/UJGoTbXGL23rLKYhGMHsba0Y3DoRKP3DDieRMSn7jNabuybZpVSxYSh1/LT8XUi/72nrLKY3YfWcCz7MFU15WibmwA4lt3yTXJWXgr0a9/zdtSe2HVAy9acxl6ELDXW9AqIYE/sOo6kRTLkP59LRO8xRs9t8PNoeTEvKstrvVZQkkVuURpKpYoJQ6Yb1HGwdWZw3/Gt8+VPl7GkzNxMjZdrAMkZMRSV5bY70SitKATAztrJoEzbrOXg4c0ARpOMk3F39jOahJx44Y7odZFe8gZgpjLDwyWAiurSNp/hRCJ4Iu72euv7e9h8YBlabRMqlRlDQycxcdi1jI643Oiahbb06znC6BqmzqTTNQPQpG3kiVs+1fvsr5v8MM3NzXyz5CUWrHyv3YnGmZh588d6f/Z2C8LbLYihYZO4+/VRHErexbbIPzs0kiZEVyGJhhBCnMQNUx7nUPJuIhO28PSnV2FupiHYL5wBIaOZPHwGQT6hrffmFaUBUF1bwcT7Tj7VoazS+FbbbW1v6eHccr2wNFvv+p9b5/H1ohepa6hps6/q/3yD2plyC9MAmL3kZWYvOfkZEcae2d3Jx+i9VpYti+MbGutarxWW5gDgbO+BmZm50XrtTQBOxt25jZiOvzA3NNa3u63q2oqWusef59/KK4upa6hBpTLr8JqAts53OHEOw6nK23oG6+PPWFVT3qF4YlP2oNU2oVSquG7Sw1w14d7WBexdzYm/R3MztdHRkyvG3sk3S14ivziDnMJjeLkGnrJNS03Lmou6+rb/P6w9PtJm2c7Ey93Zl0tH3cyS9V+xN3adJBrivCSJhhBCnISFxopPnvqTw6n72Re3gbiUPcQf3U9C6gF+XfMZd057sXUut7ZZC4C1pT2jIy47abv2Ns5nHNuRYwf59KcnUCnNeOC6txjZ/1JcHb2wUFuhUCj4ftnr/PzXx+h0ujPuqy0nnrl/yGg8XE7+Ymls/rpC0fHpIG0tqoaWKUVn6nRiaouNlT1llUXU1FbgbO/+n37afo5TOVWMp/sMJ5JSWyuHDtV7+rbPWbvrF3ZE/8Vvaz9n0bov6Bs0hAlDpjNuyDUGz96WQ8m7Wb19YUfD5rKLbm/3SIjH8WTe1dHL6DoRKwsbHGxdKKssoqS8oF2JhoezH8kZMW2e8F1dW9GadHp0IBn+Z2Qvp911hOhKJNEQQoh26Bs0pHXNRWNTAxv2LuGjHx5lwZ/vMn7IdPw8euJ2/Nt5M5XZaZ8+nVecQbBVuJHrLYtNXRz++aZ668E/0el0XDPxAW6Y8phBneyC1NOKoSNOPPO4wVdx9YT7zmpfJw46KyrLpamp0eioRl6R8Rc9U3GwdaWssoiK6hKDMjsbJyzUVtQ11JBdkNqhdQZnS0VVS5wOdh3bBn5I6ESGhE6krr6GHdGr2LB3CQfiNxF/dB9fLXqBAb0uYsLQ6YwZeCV2NobTyE7ILkjV2364vQb0uqjdiUaIf8tOTuVVpUbLtc3a1hEdYyd1G9PTvz/bo1ZyJC3SaHnCsYNAy7SojkwlO/Fzc2LERIjzjSQaF7DIYZ9Sn1VGxJ6ZWPie+Y4WKTOXU7gkmh6fXIXbjIhOiLDzFS4/RP4P+6lJyEen1WEZ7ILbjAG43zYExWkutCvdnEzud7upOpSDrq4Jjb8jLtPC8HpgFEqN/C/WHZmbqbl01M38teMHYpN3k5oVh59HT1wdvQjyDiU1O56oI9uJ6H1Rh9vesGcxwb76iYa2WcumfUsB9A44q6xpeVFyc/I2aKessogDx+f/n03DwiazevtCthz446wnGu7Ovrg7+5FfnMGWg8uZNOx6vfKKqpI2n9n8eFKi1Tad1Rj/K8S/P2k5CaTlJBpsHKBSqhjUdxw7o/9i9fYfuG/6a+c0NmPSco8AEOI34LTqW2ismDTseiYNu57yqmK27F/O+r2LiUrcRuSRrXz281MM7jueCUOvZXTEZQYv3ZeOurndu0edrmHhF2NupqG6tpzEtCh6Bej/exWTuIMmbSMWGmv8PY0vxv+v0QMuY94fb7ErZg01dZUGz7Vhz2IALoq4ot1x6nQ6th5YAUCvTtpqWIhzTbYwEBeM1BdXkfLIUqoO5WA71B/7MUHUpRZz7KW/SLpvMbrm5g63mf31Do7c8hPlO49hE+aJw8SeNBZVk/nBJuKvnY+2tuEsPIk4l/7Y/D0ZeckG13MKj5F2fLG1u9M/UyHuuqplncLbc+9lf/xGg3raZi2RCVuJP2p8MfgfW+ZwKHl36591Ol3rTkEujl56Z3acmFaxbtdv1NRVtV6vqavk/fkPUVVT1oEnPT2jIy4nxD+CmKQdfPzjzNZvxP+tuDyfVdsWdEp/10y4H2g5PyTvX9NUGpsa+OLXZ1t3//mvEyNBGblJnRJHe0X0GgPQ5t/3LVOfRqlUsWjdF/y903Br3vTcJNLPYcyHj8c54DSS5P+yt3Fm2vh7+PL5dfz6Xiz3XvMqvh492RO7jnfm3se9b5x5H6fD1sqBq8ffC8CnPz2ht/C9oCSLL359FoArx9xpMGp268uDuPXlQSSkHtC7HuQTyvB+U6iuLeejHx6j6V8J7Y6o1azb/SsWaiuunfyQXr0dUatJSo82iLG8qph3591PUkY01pZ2TB196xk9sxCmIl+3XsD6LrodXZMWtYfhIsXT4ffCJLwfGY25W/uHhc+V4tWHyV+4H3M3G0KX3oVlUMv8+IbCKg5ft4CSvxPIm7cXz3vav9tJVUw2Ge9sQGlpTt/Fd2A7sGUKiba6noTbfqZyTzqZ720k4PVLz8oziXNj5bYFfPbzU3i5BhDo3RdLjTUl5QXEpuymsamBCUOn0ydocOv9oyMu46Hr32H27//jmU+vxtc9GF+Pni31KgpIzjhEVU0ZT9zyqdGzFS6/6HZmfnAp/UJG4WzvTlJGDJl5yWjUlrx8zxy9HZouHXUzv2/4mqSMaG56oR/hwSPQoeNQ0k7MzNRMHX0rf+348ax+Pkqlkrce/oXnP7+WlVvnsXHvEnr4huHm6E1DYz2Z+Smk5x7Bwda1zUMKO2L6pAc5cHgj++M3cfv/hhDRewyWamviju6lvrGWKSNuZO3uXw12XOobNAQne3eSMqK5782xBHr1RqUyJzx4+FndWWhY+MWYqcyJPLIVnU5nsC6jT9Bgnr7tCz7+8XHen/8gP676gBD/Aa0H9qXlJPDcnd+0uT1uZ6qoKiE54xBuTj6nPaLRFg9nP26e+hQ3T32K1Kx41u9ZzOE2dl47F+6++n8cSYvkUPIubn15EKFBQ2jWaYk/up+aukr6h4zi7mteMaiXefxLh7qGWoOyZ27/kkffm8ymfUuJP7qfvkGDKSrLJS5lDwqFkufu/Lp1+t8JUYnbWLrhGzxc/An06oO1pS2FpTmkZMZSXVuBtaU9bzz0I452rmfngxDiLJNE4wJmEdD2PNnToXa3Bfeul2QAZH/ZciCT/4uTW5MMALWrDYHvXs7ha+eT/dUOPO4a1u4pVNlf7gCdDq+HR7cmGQAqaw3Bn1xF1OgvyPthPz5PjsPM3nD7TnF+uPuql9l9aC0JqQeIS9lLTV0ljnZu9A8ZxeVj7mDMwGkGda6/+BEG9hnLso3fEp24nQOHN6NSmuHs4E7/kJGM6HcpYwYan0Lx8Ix38XHvwcqt80k4dgC1mYbREZdz17SX9Ha4gpatSL99uWW//QOHN7Mndi0Otq5cNPBK7pr2En9unXdWPpP/cnPy5puXN/PX9h/YcmA5qVnxJKQewM7GCRcHL66/+NEOTRk5GTOVGe88upjF62axZtcvHDy8GRtLewb1HcfdV7/Cj6s+BAwX26vNNXwwcxlzlr/B4aP7SMmIoVnXjLa56awmGk72bowZdCWb9i0lJmmn3tS3E6aOvpXeAQNZvO5Loo5sY2f0aizUVrg5+3LDlMcZ2HvMWYvv3zbsW0KTtpErxtx5Vs9sCPIJ5f5rXz9r7beHRm3JJ0+tZOnG2azb8xsxSTsB8PPsxeTh13P1+Pva3NmsLc727nz7v238tPojtkeuZEfUKqwsbBnZfyq3TH1K7wuJE0YPuJya2kqSMmJIOHaAypoy1GYWeLsFMSR0ItdMvL/NHcSEOB8odGdzO5IuJDIykkGDBhG+5n5swrvf/7TVcblkfryZin0Z6OqbsAx2weOOobjdMJDd3q8CMCJb/xd7W2s04q+dT8XuNPouuQOVjYasT7ZQuT8DbW0jlkHOeNw9DPcbBxnE0FXXaNTnlBM55BMUahVDDr+AytLwH4+Dgz6mIa+CsD/uxnbIqbdkbG5oYn/f92iubSRi5+NGk7a4q+ZSuT+D4C+n43r1WTrEwESqYnOIveRbDh48yMCB59/c4RO/D7773zZC/AeYOhwAxt3TMrK4ZU6FiSM5fzVpm7jz1WFk5iXz7ctbDebem0r80X08/O4kLh5xAy/e/Z2pw2nTfW+MISMviV/fi5Vv0M9jSenR3PfmmPP297PoXmSNRjdQviOV2GlzKF2XiNrFGseLe6Gy0XD02ZWkvbn2tNst25JC3JVzqMssxX5sD2zCPalJyCf16T/Jmb2zE5/g7KqOaznwyyrEzWiSAWA9oCX5rI7PbVebtUeLaa5txMzBss2RIZv+x9uMa1+bQoj2Sc44RFNTo9612vpqZv36DJl5yQR5h3aZJAMgtMdQxg66io37ficrP8XU4Ri1K+ZvkjKiueGSxyXJEEJ0Gpk6dZ7T1jaQ/NgydHVN+DwxFp+nxrfOAa7cn8Hhm09/fnbOVzvo8fE03G745xuRwqUxpDy2jKzPtuJ++xBUluqTtHBqdZmlRA3/rMP1XK8bQPBnV7fr3vrMlp151D72bd6j8W4pq8so61ib3m23eaKsvp1tCiHa5/NfniYt5wg9fMJwdnCnrLKYo5mxlFcVY2PlwHN3fm3qEA08eP1b7Ildy9w/3uLV+xeYOhw9Op2OeX+8jaujNzdMedzU4QghuhFJNM5zJasO05hfiUWQMz5PjtNbaGg7xA+P24eQ8/XpjT44Te2rl2QAuE7vT/as7dQmF1Idk4Pd8IAzCR+VtRrX6wZ0uJ7t0PafOKutbtn5SWXVdlJ0okxb1b4Tf9vVpvXxNqvbf4qwEOLUrhhzBxv2LuFYTgIJx1p2/3Fz8mb8kKuZMeXxNk9XNyUPZz/Wfp1v6jCMUigUzHl1h6nDEEJ0Q5JonOfK96QB4HxlmNFFzC5X9TvtRMNxkvFdTiyDXahNLqQhv/K02v03cyfrdo9MCNGdydqM9psy8iamjLzJ1GEIIYQ4BVmjcZ5ryGt52de0MS2orevtoWljWpDKRgNAc925PfjqdLWOLNS0fabFibITz9YpbZ4Y9bBuX5tCCCGEEN2JjGh0E//dm72Vso3r7XEmddupsaSa9DfWdbie7VA/3G8y3PnKGI2vAwANWeVt3tOQU6F37ynb9DneZnbntSmEEEII0Z1IonGeUx8/t6I+q8xoeX2m8etdhba6gcIl0adVt72JhnVoywFJNUkFaGsbje48VRWd3XJvmKdBmTGWwS4oLcxpKqulLq3E6M5THW1TCPGPGc+FkV+cwa/vxXbKmot35z3A2l2/8Nyd33DpqJs7IcLOt2HvYlZsmUtqVjzaZi1+HiFcOupmpo27p1POtVi5dT4f/9iy2Puq8fcy8+aPu2Q9IUT3IYnGec5umD+Fi6IoXhnfshj8P/8YFa2INVFk7WPh62hwvkdn03jbYx3uSXVsLiWr4g0Wn5fvTqMhtwJzNxtsB/kYb+Q/lGozHCYEU/JXAoXLD+H7xDi98rr0EioPZqJQq3Cc2LNzHkQI0W199vOT/LF5DmpzCwb2GdtymnjCVj7/5WkiE7by+oM/nlGykVecwTdLXkahUNCR47POdT0hRPciazTOc85XhGLuakNtShHZn2/T+4VeGZlF/oL9Joyu6/B+5CIA0t9ZT+2x4tbrjUVVHHtxVcs9D482SNRy5+8laswskh9bZtjmwxeBQkHOVzuojMpqva6trufoUyugWYfHbUPkVHAhTsMnT/3JwjcP4OrQOQes3nfNayx88wAXRVzeKe11pq0HV/DH5jk42bsz77VdvPfYEt56+Bd+ejsKf89ebI9aybJNs0+7fZ1OxwcLHqFZ18zFI27ssvWEEN2PjGic51RWaoK/uIYjd/xC5kebKVoRh1WoB40FVVTsTcfzrmHkfr8bhbnK1KGalPPlobjfNoT8H/YTM+lrHEYHoTBXUb4jFW1lPY6X9MbjzmEG9ZpKaqg7WoTazcagzGaAN34vTiLj7fXETZuL/ahAzOwsqNiTRmNRNTYRPvg+P/FcPJ4Q3Y63W1Cntufs4IGzg0enttlZfv7rEwDun/46Pu7Brded7N144pZPmfnhVH75+1OumfDAaY1q/LllLpEJW3jsxg8oryrpsvWEEN2PjGh0Aw5jehC24m4cJ/eioaCS0jVHaCqvJeidy/C8dwQAZk5WJo7S9ILevZzgL6djE+ZJxZ50yrakYBHgRODbU+n1/QwUqo7/7+D90Gh6/3QL9iMDqIrJpmRDImZOVvg+O4HQpXee8YGGQnQHyRmHeOnLG7jiMT8ueciD+94Yw187Wg4THXePHePusTOoM+O5MMbdY0duUbre9cc/mMq4e+yIOrKdxLQoXpw1gysf92fyA67c/dpIVm//wWgM7857gHH32PH3zp87/wHPQEFJNknpUZibqRk32HCr7wG9RuPi6EVJeT6HUzs+Qp1bmMbs318hvOcIrp5wf5etJ4TonmREo5uwCfei9wLDfeULf485Xm64IHng3ieMthX6+50n7Sv4s6uNnn3R1vWuxPXqfrhe3a/d9/s+NR7fp8af9B7H8T1xHC/rMIQwJjJhK89/cR0NjXX4eYQQ7BdOSXkBH/3wGOm5iafd7r64DSxZ/yW+Hj0ZHDqBguIs4o7u5cOFj1BVU86MKY924lOcPSkZhwAI8OqDRm18mmXvgIHsKM0hOSOGsGDDkde26HQ63l/wMNrmJp69/cu2dyc0cT0hRPcliUY30FhURXNdU+uWqydUHswk/a2WrWNdr48wQWRCiAtZXX0Nb8+5l4bGOm6/4jnuuPLF1pfPuJS9PPPp6X8x8euaT3n2jq+YOvrW1mvrdv/GO3Pv44dV7zNt3N1YaM5sJDe3KJ0bnw/vcL0pI2/ihbvat6YitygNAHdn3zbvcXfyaY2nI5Zv+pboxO3cN/11fD3a/2XIua4nhOi+JNHoBqoP55Nw4w9Y9nbDwtcRhbmK+oxSquNyAXCZ3h/ny/qaOEohxIVm68E/KC7Pw9c9mNuveEHvG+6w4GFcNf4efl3z2Wm1PWbQNL0kA+DiETfw818fk56bSGJ6FP1DRp1J+FhqbE7rBPLw4BHtvre2vhoAC3XbSZGlpmWNWG1dVbvbzS5I5bulr9ErIIIZUx7rsvWEEN2bJBrdgGWwC+63DaFiTxoV+zNorqpHZaPBblQgbtdH4DK9/VOFhBCis8Qk7QRg/JBrjC5injjsutNONEb0u8TodT+PENJzEykqyz2tdv/Nwda53SMTXUnLrk8P06Rt5Nnbv0KlbN9mIOe6nhCi+5NEoxvQeNkT9G7X27JRCHFhKyzNAcDd2c9o+cmmC53KielE/2Vl2XKIaUNj/Wm3fS5ZaqwBqGuoafOe2vqWkQxLC8Pd74xZuvEbYpJ2cvsVz9HDN6zdsZzrekKI7k8SDSGEEGdVW4uClYrT3/hQcQZ126ussphvlrzU4XrhwSO4fMzt7brX4/ip5/nFmW3eU1CSffxe4wnbf22PbDkb6MDhzUQn7tQryyvOAGBH1CqOZSdgaWHNe48tMUk9IUT3J4mGEEKIs8LFoWW3u/zjL5v/lVdk/HpXUVtfxdpdv5xW3fYmGj39Wqa2puUkUN9Qa3TnqSNpkS33+vbvUAzxR/e1WVZUlktRWS7WlvYmryeE6L4k0RBnTebHm8n6ZAs+T4475Rax3VHhskOUbU6m+nAejQVVaCvqUFqrsQpxw3laGO63DEZp5CDF2pQiyrYkUxWTQ1VMDnWpxaDTEfLt9ThfHmqCJxHi9PQLGcXfO39i8/7l3H7FCwbrNDbu+91EkbWPp4s/W+ZUnNU+3Jx8CPEbQFJGNFsOLDdYfB6duIPC0myc7N0J7TG0XW1+/uxfbZbNX/EOC1e+x1Xj72XmzR+btJ4QovuTA/uEOEvyf9hP0R+xQMsp4k6X9cWqjztV0dmkvfwX8dfMQ1vTYFAv74f9pL26hqJlh6g7WgQ63bkOXYhOMW7wVTjauZGRl8RPqz9E96+f5cOp+/lj8/cmjK7ruGnqkwB8u/RVsvKPtl4vrSjks59bym669AmDRG3Zpm+59eVBvDP3vnMXrBBCdICMaAhxlvi/OgXLIGfM7PWnQtTnlJNw4w9URWaR8/UOfJ+eoFdu1dsNrwdHYd3PC5t+Xhx9egUVu9POYeRCdA5LjTUv3f0dL8yawbwVb7Nx3+8E+4ZTUlFATNJOpk98gCXrv8JMZW7qUE1q3OCrmDbublZsmctdr41gUJ9xmKnMiTyyleraCkZHXG70lO3yymIy85JxsnM3QdRCCHFqkmgIcZbYRhjfFUfjZY/3o2NIeXwZZdtSDRIN95sGnYvwhDgnBodO4KsX1rPgz3c5lLybvOIMfN178sTNnzAsfDJL1n+FvY2zqcM0uSdu+ZTwniP4Y9P3xCTtpLlZi59HCJeOvoVp4+4xuj2wEEJ0dZJonEO1KUVkz9pG+e40GguqUKhVmDtaYRXmges1+ofqaavqKfojltJNydQkFtCYVwlKBRaBTjhf1hfP+0aisjT8FnC396sAjMh+nYJFUeQt2EdtciEqGw0OE3vi/+JkzJ2taa5rJPvL7RT9EUd9Tjnmzta4Tu+Hz1PjDdYNpMxcTuGSaHp8chXWoR5kfrKFyn0ZaGsbsOrpisedw3Cb0fGTx2uSC8mZvZOKncdoKKhCaWGGTbgXHncPw+ni3gb3N+RVkDVrO2VbUmjIrUChUGDmZIVliCvOl/bB/ZbBHY7BVBRmLS8NSrXsNy+6vxD/Abzz6CKD6+t2/9pa/l+L3o8z2tbJ1gMAvHDXbKNnX7R1vSuZNOx6Jg27vt333zntRe6c9mKH+jidOqaoJ4ToHiTROEeqE/KJv2ou2qp6LINdsJkcAihoyKugfMtRmuua9BKN6sN5pD63EnMXayx6uGDTz4um0hqqorLJ/GATpesTCf39TpQWxqccpL+9jtw5e7AbHoDD+GAqD2RS+FsU1TE5hK24m4SbfqQmpQi74f5YBDpRsTuN7FnbaSypoccHVxptsyoqi9QXV6H2sMN+TBCNRdVU7Enn6JN/UB2XS+CbU9v9eRStiCVl5nJ0DVose7nhODGExpJqKvalU74jFe+ZY/F75p9v+hvyKzl06bc0FlSh8XHAYVwwSrWKhrxKqiKzqM8sO28SjcaSanK+adkC0vHiXiaORoizq7SikPrGWjz+c5ZG/NF9fLPkfwBcMupmU4QmhBDiLJNE4xzJ/X432qp6/J6fiPejY/TKtNX11CQU6F3T+DjQd9Ht2I0MQPGvIfOm8lqSH/6dss0p5M7dg/fDFxntr3BJDP3WPYhVT9eWemW1xF45h5qEfGKvnIOZnQUDd8/EzM4CgOq4XGIv+46CXyLxeWwMGh8HgzbzfzyAx93DCHj1EhSqlpgqI7NIuPEH8ubtxWFcMI4TQ075WVQfziNl5nIU5ip6zb0Rxwk9W8tqEgtIuOUnsj/biv3IQOxHBbb0/ctBGguqcL9lMIHvXa63L39zfRNVUVmn7PffToz8dITdiABCf7+zw/VK1iVS8tdhdNpmGguqqDiQga6uCdfrB+Bx57AOtyfE+eRoVhxPfzKNQO++eLr4Y2amJrcwjeSMGAAuHnEDYwdNM3GUQgghzgZJNM6RxsKWk10dxvc0KFNZa7AdrH9CrsbLHo2X4X7jZvaWBLwxleiLvqB49eE2Ew3fp8e3JhkAZg6WeNw6mLTX1lCbVEj/TQ+3JhkA1mGeOEzoSem6RCp2p+F63QCDNtUedvi/dHFrkgFgO9AHz3uHk/XpVnK/392uRCP7i23oGrQEvHaJXpIBYNXLjYBXp5B0/2LyFuxtTTT++fyCDQ7/UmrMsBsecMp+/83Y852KZbBLh+sA1BzOo3BJtN41z3uGG52mJkR34+cRwrRxdxOTtJPY5N3U1FdhbWHLwN5juWTUTUwefoOpQxRCCHGWSKJxjthEeFO2KZnU51fh++wE7Ib5o9Sc/OPX6XRU7s+gYk86DbkVNNc1go7W7U7rUovbrOswPtjgmkWAE9AyWvLvJKS1PLBlQWZDfqXRNp0u62s0Zpfp/cn6dCsV+zPQNWlRmLX98qxrbqZsSwooFG2eCWE3IgCAyoP/jFLYDPAhf+F+0t9eD4D9mB6orNRt9nMqwZ9dfdp1O8pn5lh8Zo6luaGJ+qxyilfGkf3VDkrWHKH3jzdjFeJ2zmIR4lxzc/LmiVs+NXUYQgghTEASjXPE68FRVO7NoHxHKgk3/oBCY4Z1Xw/sRvjjck1/rPvob0/YUFhF0j2/UXkgs802tZX1bZapPe0Mrimt1W2WAaiOlzfXNxktt/BzMHpd420PSgW6uiYaS2tRu9q0GVdTaW1r3Af6fdDmfQBNxdWt/+16bT/Kt6VQtDyWxLt/A5USq15u2A33x+XKMGyH+J2kpa5BqTbDMsgZn8fHYhnsStJ9i0h5fDnhf91nMEojhBBCCHG+k0TjHFFZqum76HYqI7Mo25JM5f5MKg9mUhWVRc7XO/F5ejy+T4xrvT/16RVUHsjEdogfPk+OwzrUA5WdBUpzFc0NTewNfPOk/SlOshWiQmm6l1qdtrnlP1RKXK/p1+56CqWSnl9ei/cjF1G6IallpOdAJnnz9pI3by+uN0QQ/PFV7W4vZebyDkbeMnXK+xHjU9U6ymlqH1S2GqoP5VCfWYaFn2OntCuEEEII0VVIonGO2Q70wXZgy/kKzQ1NFC2PJfXZP8n6eAsuV4RhGeyCtqaB0k3JoFLSe+FNBge+1aWVmCJ06jPLjF/PLodmHQoLM8wdLY3ec4K5kxVKC3Oa6xoJfHsqKmtNh2L4P3v3HRXltTVw+DeF3jsCUhRFBQTsvSS2mETTTe9f4k015aaY3nuvdky7UaPGJPZesQIKiAoC0nsdygAz8/2BEkdAQdFB2c9aWSu+57zn7BlxmP2eZt3LA+teDaM/Br2e0o1JJD2xlILfY3CdEoLj6KZTxppz5pqJ1rAf6t9uiYZCoUDtZI2uQktdYaUkGkIIIYS44kiiYUJKczXu0yLI/z2air3pVCXmNSQa5TWgN6BysGiSZAAULjtkgmihaOVhfF8Zj9Lc+MemcHlDPPYDfM+6PgNAoVbhMLIbJeuPUvTP4fM6f6OxLaUSp/FBOE0IonDZISoP57Y60Ria9dZ599seak4UNyRuSgWWfpJkCHElWLDifRb+/SH3Xf9Spzw7Yv3uReyN30ByRhzFZXloqsuwsrDF36sXVw26mSmjHkSt7tynwAvR2chRo5dIbuReqpMLm1yvOVFM1bECAMx9GnaZMnOzReVoha6shoLlxklFyeYksudEXfyAm1GbU076+xsw6PWN1zSxWeTMbojH86EhrWrH55nRKMxUpL2xmsIVcRhOLm4/xWAwUBGTSenW5MZrBUti0cRlN2mrrriKiuiGReMW3o5tfUkXTdWxfAqWH2pYwH9m2ZE8jk1fAgYDzpN6Y+ZiY4IIhRCifa3YMo+Ne5YA0Mu/H6P7T6W7TzBHUg/w9W//5amPJ1GtrTxHK0KIK4mMaFwieb8eIPWVlVj4OWEd5I7KxpzafA0V+9Ix1OpwmRqCXUTDlCqFSonPkyM58c46kp9YSu6CvVh0dUR7ohhNTBbeT44k65vtl/w1eNwzgNyf9lGy/ig2YV7UF1VRvjsNQ70ej/sG4tzKw+dsw7wJ/OpGjj+7gqTH/iD9/Q1Y9XRD7WhFXVElVQm51BVW4vX4iMYRiqLViZTMWI65pz3WwZ6oHSypL6mifE86+qpa7Ab74XxN74v58tukrrCS5CeWkmJtjk1oF8w97TDU6tBmlFKZkAsGA7YR3nT76Pom92riskl9eWXjn6uTGhLR9A83kv3jrsbrof/838V/IUII0UqP3/Y+Pp6B2Fk7Gl3PL87i+c+ncjhlH7+v+ZIHpr5imgCFEJecJBqXiO8LVzUsYo7JpGJ/BjqNFjNXW+yH+ONxZ3+crzX+kuw1fTgWXZ3I/nEn1cfyqT6aj1WQO4Hf3IzbTX1NkmjYRvjgfld/Mj/dTOnW4+hr6rDu5YHHfQNxv6Nfm9pynRqKbZg3OfN3U7YthfKoNADM3G2xDvbE6eqeRielez06DAsfRyoOZFB5KJv6smrUztbYhHbB/bZwXG/s26HOpLAOcqfrC1dRvjedmuRCKg9lY9DpUTtb4zg2EJfrQ3C7ua/RmSSn6Cq0zR5AWJPa8nbGQghhar27DWj2uruzN3df+xzvz3uU/Yc3S6IhRCciicYl4jQ+CKfxrXvif4rLtX2MvmyfrqU1Bmdbe+AwLOCs5V2fG0vX58aeNSbbUC96LbzrrHVa256lvzMBb09uVVv2g/2wH+zXqrodgZmLDT5Pjz6ve8/19yTE5SI9N4lfV35K7NEdFJXlYqa2wN7WmR6+fRk/ZJrRieBVNRVs3PMHu+PWkZp1mKKyXBQKJT7u3Rndfyq3TXgCC/Oma9bGPNywXfeWueWs3vkryzfNJj3nKFaWtgztO5FHbn4LRztXtHU1/LbqMzbu/YO8okyc7N2YMOR27p/ycpN1Ax/Mn87aXb/x4gM/ENg1lMi/PiAuOYoabRX+XXpx41WPcM2Iu9v8fpzIPsqidV8TfWQbRaW5WJhb0dMvnJuvns7w8KafhYWlOfyy8lP2xm+goCQbpVKJg60Lfl2CGNVvCtePfqDNMZiKStnwdcNM3bYNQIQQlzdJNIQQQrS7lMwEnvhwAlU1Ffh69mRY2DWgUFBYks2+hI1oa6uNEo3kjHg++/lpnOzc6OrZgyD/CMo1JSSm7mfen++w6+AqvnxhNRZmls32N+uP1/ljw/eE9RzOoJBxxB/fw6odP3M0LYZvXlrHC1/cyImco4QFjcDbrRsHj+3kl1WfUqop5Pl7v262zcSU/XzxyzO4OnZhQJ+xlJYXEntsBx9FPkZS+kGeuvOTVr8fG/f+wYfzp1NXX4u/V2+Ghk2irKKQuKRdRCdu4d7rXuDBG15trF9Umssj74yiuCwPDxdfBoWMw1xtQUFpNodT9pNblH7ZJBqlFUX8vrbhPR4edo2JoxFCXEqSaAghhGh3S9Z/R1VNBf930xvcNfk5o7KqGg2pWQlG1zxdfPn8ub8JDxqJ8rRzgCqqSnln9oPsjd/A0g0/cOc1zzTb35pdvzH39Z34eTWMHFdUlvDYB+M4nhnP4x+Mw9bagf99GIetdcOmG0nph5j+3hhWbl/I3dc+j6dL00M//9o6j5uvns5j0z5ApWyYmnk4ZR/Pf34DyzbNYlDIOIb0nXjO9+J4Rjwfzp+OWmXOu4//xuDQCY1lqVmJvPjVzfz0z8dE9BpFRK9RAPyzPZLisjyuH/0gz979hdGhnrV1WhJT95+z39OdGvlpi7CeI/jqhVVtvm9X7Gq2Rq9Ar9dRVJZHfPJuautqmDTsLm686tE2tyeEuHxJoiGEEKLdlZTnAzAoZHyTMmtLW4K7Dza65u7sjbuzd5O6dtaOPHXHx9z9Sj+2HvizxUTjwamvNCYZAHY2TkwZ/SDfLXqZE9lHWPDWnsYkA6CHb1+GhE5gZ+wqDh7dgeewO5u06erkxaO3vNOYZAD06TaQW8c/xsK/P2LJ+u9blWj8svJT6upreWLah0ZJBkCAd28eu+193vzxXpZvmt2YaPz7/o0zSjIAzM0sCOs5/Jz9nm5iM6/vXHw9e7b5HoDkzDjW7vrN6Not4x5rdpqaEOLKJomGOKfAL28k8MsbTR2GEOIy0iugP7vj1vH5LzN4aOqr9O05HHOzs8/PNxgMxCXv5tCxnRSUZKGtrcGAAU5ugZ2Zd7zFeweFjGtyzdu9GwAeLr5GSci/5d0BKCzNbbbN0f2nNhvz+CG3s/Dvj4hLjqJeV49a1fKvUr1ez96EDSgUCkYPuKHZOuFBIwBIOL638Vov//7AXGb/8ToAA/qMxcri/LfCfvnBH8/73ra697oXuPe6F6irryWvKJ3N+5bz2+ov2B7zDx89/Qf+Xr0uWSxCCNOSREMIIUS7u33i0xxKiiI6cQvPf3EDZmoLAn1DCe85gvFDptHNJ9iofnFZPq9/fxfxx/e02GZldXmLZW5OTUdDrCxsT5Z5NXvPqS/utXU1zZZ3cW1+AwoPl64oFUpq62oo1xTj7ODeYlzllcWNcd/wTLcW6wGUav49a2nC0DvYf3gTG/Ys4bXv7kSpVBHg3YewHsO4atAthAQOPktLHYOZ2hwfj0Duue6/+HbpyRs/3MP78x5l1qtbmozSCCGuTJJoCCGEaHeWFtZ8/txfHE7Zx974DcQn7ybh+D4SU/bzvzVf8sDUmdx3/UuN9T9Z+ATxx/cQEjiE+6e8TGDXUGytHFCrzairr2X8dNez9nf6uo4zKRSmO5tWp9cBoFSqGD9kWqvvUyqVvPp/87hz8nNEHVxDfPJu4pN3syxjFss2zWLyiHt44f7vWt3eB/Ontzl2X8+e3DX52Tbf15xR/aZgY2XPsRMx5BaeoIubf7u0K4To2CTRMLH8RTEcf/ZP3G4N79TTk069D6cLXfUItmFNn1JWJxeS+dVWynamUl9ShZmbLU5X9cDnmTGYe9i1W0xVx/LJ++UAlXHZaDNKqSupQoECc28HHEZ2w2v6MCy7OjW5T1dVS/GaI2his6g8mEVlQi766jocr+5J759atzXw+Wjr+1K8JpGjD/1udK3PkvtxGBZw0WIUnU+fbgPp020gAHX1tWzYs4RPf3qSyL8+YOzAm/H17EG1tpI9cetQKlV88NTiJge+ZeWnmCByyC1Mb/Z6XlEGeoMeczNL7G2dz9qGg60LFuZWaGurefrOT7G2tG1TDN28+9DNu2Gbc71ez+64tbw752FW7fiZsQNvYmDw1a1q58w1E60R1nNEuyUaCoUCextnKqvLKakokERDiE5CEg3RoVj4O2M/sGH3F7WzdZPysqg0jtz9C/qaOmxCu2A/2I+qw7nk/byfolWJhCx/EKvuZ3/y2VoV+zPInbcbMw87rLq5YDfQF51GS2V8DnmReylYHEvvn+/Cfoi/0X01KUUkP7m0XWJorfN5X8y9HXC7NRyA0i3J1BVoLmnMovMxU5tzzfC7WLXjJ+KSokjJjMfXsweV1eXoDXpsrRybJBkAG3YvvvTBAlsPrODRW97GTG1uHM+ehnhCAoecdX0GgFqlpn/vMew6uJqtB1ZwzfDzf9igVCoZFnYNw8Mns373Io5nxLc60dgyt+VpZ5dCdkEquUUnUCqUeLnJwwwhOgtJNESHYj/Qt8WRHV1VLUmPLUFfU4f/u5Pp8sC/c5TT3l5LzqxdJD3+B6GrH22X+b8OI7sRvvVJrAKNv6Dr63Skv7eenDlRJM9YTkTUDKP+VLYWuN0egW1fL2z6elEVn0PKS/9ccDwtOd/3xTbUq/G9TrhlgSQaol39uXkO/XqPwdezh9H17IJU0rISAfBw7gqAk707dtaOVFSVsmHPYsYNvq2x/p749Sxe/+2lC/w0BSVZzF76Bv+59b3GqVlHUg+wZH3DlKVbrv5Pq9q59/oX2Ru/gW9/fxFzMwuuGniz0b9Fg8HAkdQDaKrLGhOHtbt+I8C7Dz39wo3aKtMUNS4a93DpeqEvsd2kZR8hOeMQI/tNaXLWSUrWYT6c/x8MBgMj+0/B0a59HgYJITo+STTEZSN/UQx1+RrshwUYfZkG8HtlPMVrj1AZl0PppiScrj6/bRlP19y0KAClmQrfV8aT+/M+tBml1KQUGY0WWPo7E/jZDY1/rj5WcMGxnM2lfl+EaI2/t0Xy5a/P4eXmT4B3H6wsbCguyycuOYq6+lquGnQzvbsNAEClVHH3tf/lhyWv8O6ch1m+aTaeLr5kF6SSmHqAuyc/zy+rPr3kr2HK6If4c/Ncdh1cTZB/BKUVRRw8tgOdrp4bxj7MsPDWHT7Xy78fLz80i48jH+ed2Q8ye+mb+HcJws7GiTJNIcnpcZRUFHDHpGcaE41t0X/zwfzpuDp5Na5XKa8s5lBSFDXaSvr2GMbIiOsv5stvk5LyAt6d8zCWFjb09A3D1akLdXW15Balk5xxCIPBQO+A/jx3z5emDlUIcQlJonGG6uQCYkd/i9rFhv4HnkNppmpSx1Cv48DAz6nL1xC28TGse3kAUBGdSdHKBMp3pVGbXUZ9WQ1qZ2vs+nfFa/ow7Pq3/unTudZulO1K5fCtkdgP9Sf4j6anw2qzysietZPSzclos8tQqlVY93LH/c7+uN0Wflnu+FGy5ggArjeFNilTqJS4Tgkh6+ttFK89ctG/UCuUChQKBQZAaWHaf0Yd6X0R4pSHbniVqENrSUzZT3zyHqpqKnCydyes53CuG3U/o/pNNao/beKTeLr6smjt16RlHyE1K5EA79688vAcxg+ZZpJEo3e3AVw36j4WrHifffEb0dbV0M07mKljHubakfe2qa2rB91CL/9+LNv4I/sPb+bgsZ0AODu4E+gbypDQiUbb306b0PB+JCTv4WhaDJqqUhxsXejpG8ak4XcxbvBtHepMigDv3jx0w2scStpFem4Sx07EotPX42DrwuCQ8YwZcCPjh95udCaJEOLKJ4nGGawC3bCN8EETk0nppiScJzbd77t0y3Hq8jXY9PVqTDIAMj7aSFlUGtY93bAN90ZhrqY6pZDiVYcpXnuEnt/dgsv1wU3aa29lO1M5+vDv6MprsPR3xnFMIPrKWiqiMzn+7J+U7Uylx9c3XfQ42ltlfA5AswvEAWzDvY3qXSwGvZ7ML7eir67Duo8n5t4O577pIuoo74sQpxsWdg3Dwlr3xP+U0f2nMrr/1GbLWlpjcLa1BxG9Rp61/IGpM3lg6syzxtTTL5wPnmrdGpFzteft3o0n7/i4VW317TmMvj2HtapuR+Bo58o91/3X1GEIIToYSTSa4T4tHE1MJgVLYptNNAqWxALgdlu40fUu04cR+O3NmLsZ7ypSvO4oxx5ZRMpLf+M4rgcqK+OFhe2pNq+Co48sQldZS/cvbsTt1rDG0QttVhlHHviNwqUHcRgegPu0iFa12dyOUK3R/fMbWt3HudRX1FBfWg2AhY9js3UsTn7h16aXtkufjX2XVpP25pqG/y+rpjIhl9qsMiwDXOjx/S0mHR0y5fsihBBCCHE2kmg0w2VqKKlvrqFk4zHqiqswO233o/rSaorXH0VhrsL1BuOpKk5je5zZFADOE4Jwua4PhcvjKN+ZhtO4izd9JWduFLrSarweG477GYmQhbcD3T+ZQtzk2eQu2NPqJMAywLlxd6K2sAw4+7aPbaGvrG38f5V189MFlNYNCZyuUttu/ULDYutTyeUp1sGeBH5xI9Y93Nq1r7Yy5fsihBBCCHE2kmg0Q21vifPEXhStiKdw+SG6PDSksaxwRRwGbT3Ok/tg5tR0+9W64kpK1h+j6mg+uvIaDPV6AKqO5ANQnVKIExcv0SjZlASAy3XNT9Gy6euF0sa84WyHmjqUluee42s/yA/7Qc2fkNsZWHg5MDTrLaBhxEgTm0XGJ5s4dM0s/N+YaPTzIYQQQgghGkii0QL3aREUrYinYEms0RfJgiUHG8rPGC0AyPt5H2lvrUVfXddiuzrNxX2qrD1RAkDc5NnnrFtXUo1Fl46zmPBslDb/TjfTVdWhtm+6oFBf1fB0X2VjcdHiMPeww3liL+wH+3Fw/A+kvbkG+8F+2IR0uWh9nk1HeV+EuJK8/OCPvPzgj6YOQwghLnuSaLTAYWQ3zLvYUxmXQ2ViHja9PahOLkQTk4mZuy2OYwON6mtis0h5eSUKtRK/1ybgNC4Icy97lFZmKBQK0j/YQNa328HQTgHqm2/IcPK6y5SQc+6GpLRo3e4f5XtPkP9bdNviA9zv7NduIyFqO0tUjlboSqvRZpai7uPZpI42uwwAi66O7dLnWeNxtMJ5YhC5C/ZSvCbRZIlGR3tfhBBCCCFOkUSjBQqlErebw8j6djsFi2OweWMS+UtiAHC9sS8KtfGX9KJVh8FgwPPBwXhNH96kvZq04rb1b97Qvu60Ofin02aVNXvdoos9NWnF+MwYjXWQe5v6bElNanGTNQqtYT/Uv12nXNmGdKFsRwqag1nYNPOFWhOTBYBNSNOyi0HtYgNAXWHlJemvJR3tfRFCCCGEAEk0zsrttnCyvt1O4fI4fF8eR+HSQ0Dz06Yad/7xsm9SVldUSen2423q29yzoZ3q44XNlpdsPNbsdcerepA7fw9F/yS0W6LhPi2i3XaPuhBOE4Mo25FC4bI4PO7ob1Rm0Okp/CseAOdJvS9JPOU7UwGwDHC5JP21pKO9L0Kczeqdv/LRgv8wcdidnXp60qn34XQ/vrqFXv79mtRNz03ip78/IubINsori3G292Bw6ATuu/5FXBzb7wGCTq9je/RfHE2L4UhaNMdOxFJZXY6/V28i397Tbv2ckleUwe64deyN30BS+kGKy/IwU1vg49GdERHXcsu4x7Cxavo7dXvMP7z23Z1G1754fiURvUa2e4xCiAujNHUAHZlVd1fsBnSlrkDDiXfXUZtT3uTsjNPrAhT8cdBodx+dRsvxZ/9EV1bTpr5tw71Q2VpQfTSfwj/jjMpyI/dSvPJws/d5TR+Oys6CrG+2kxu5B0O9rkmdqqP5DSMwlxn3aRGYudtSviuV3EjjX3on3l+PNq0Ym5AuOF7VdPev6MFfEOX9BvmLYlrdX86cqGZHjuorajjx7jrKo9JQ2VrgOjWk7S+mBVHebxDl/QZlu1Jbfc+FvC9CCNPycgtg4rA7mTjsThxsmz60iD26g/97ewQb9izGxcGTERHXYWFuxV9b5/HQW8PIyE1qt1iqaip488f7+N+aL4k5so3K6pbPIGkP78x5iC9+eYbdcWtxtndnZL/rCe4+kOyCVBaseJ8H3xxGTkFak/s8nH0a3zMn+/Z5oCaEuDhkROMc3G4Lp2J/Brnz9jT+uTnu0yLImbubyrgcood+hf0gXwwGAxW7T6AwV+F2ewQFv7f+S67KyhyfZ0Zz4p11JD2xlNzIvZi52VJ1JA9tRilejw0n+/udTe6z8HYgaN4dHHtkEamvrCLz6+1Y93TDzNWG+rIaqo7kU5tdhsuUEFwm9zmv98RUVDYW9Pj+Vo7c/Qupr6wif1EslgHOVB3OozqpALWzNT2+a/5ci1NrVxTNnPTekpy5u0l7ay1WPd2w6u6CwlxNbW45VQm56Cq0qGwt6PH9LY2jT6c78tD/qMvTAA07kQFU7E8n7ro5jXV8Zow22urYoNc3/n9b4ryQ90UIYVqhPYa2OLJTra3k7dkPoK2t5qk7P+Gmqx5tLPt+8SssXvcN78x+iFmvbW2Xf99qlRnjh0yjp184Qf79qKwu4+Wvb7vgdlvi5ujF49M+YMLQ242SrNKKQt788T5ij27nwwX/4asXVhvd19MvvPE9e/rjyZSU51+0GIUQF0YSjXNwmRJC2utr0NfUNXt2xilqRyv6rn6E9I83UbY9hZKNxzBzscF5cm+6Pn8Veb/sb3PfXtOHo3a0ImfeHjSHslFaqrHr35XAr29CX13XbKIB4DA8gLDNj5M7fw8lG5OoiM7EUK/H3M0WSz8nPO8b2OL2tx2dw1B/+q6dTuaXWyjbkUrVkTzMXG3xuHsAPs+OwdzDrsk9dUWV1OaUo3axwXlCUKv76vrS1ZRtSUZzKJvyXWnUV2hR2Zpj2d0Vx1Hd8bxvYLNJBkBVfC7azFKja7qyGjQxmUZxna4yruHkbqsgd+z6+bQ6Tji/90UI0bGt3vkLxWV5RPQaZZRkADx6y9vsiPmHY+mx7Ilbx5C+Ey+4PysLG155+N+HITFHtl9wm2fzxvTIZq872rky86HZ3PZCbw4e20l+cSbuzm37TBRCdAySaJyD2s6SwcdfbVVdM1dbun88pdmyrs+NpetzY5tcP9f6B/fb++F+e9M5u0Dj2Q7NMXe3w/elcfi+NO4cUV9+rAJd6fHtLa2uX7Y9BQwGfJ4ehcq29Vu8ut3YF7cb+55PiPTb80yb7ynb1rCOx/elq1Go2j6rsa3vixAAJ3KOcd9rA3C0c+WPT46iVjfd8rpeV89tL/SmuCyP+W/tppt3w2jo4ZR9bD2wgpgj2ykozqSiqhQHWxeCAwczbcKTBHcf1Oo4zrV2I+bIdp759FrCeo7gqxdWNSnPL85k0dqv2Ru/gbziTNQqM7p59+HaUfczadidl+WI3o6YlQCMG9x0VEGlVHHVoJv5ZeWn7Ihd2S6JRkfi7uyNg60LZZoiCkqyJNEQ4jIlazREh1K+L53kGctJnrGcmoySdmmzdNtxLHyd8LhnQLu0d7GUbkvBbqAvzhN6XZL+NHHZje91dXLzmw6IK59fl5707jaA0opCdseta7bOvoQNFJfl0dMvojHJAJi7/B2WrP8Ona6OXgH9GRY+GXtbZ7YdWMGTH01ky/7ll+Q1xBzZxgNvDGXpxh/RG/QMChlH74ABHM9M4KMF/+GD+Y+eu5EOKDm94dym5haIN1xv2Pwh6WS9K0lpRREVVaUAODvIjnlCXK5kREN0KNq0YgpObgXs+cAg6Op0wW0Gfn7DBbdxKQQvuf+S9lebVXZe2xaLK881w+8mMWU/a3f9xoiIa5uUr931PwAmDTfe6WfaxCd59eG5ODsYL8jdFbua13+4m89/nsGQ0IlYWlhftNiLSnN5/fu7qdZqeOmBH5h42uhFfnEmM7+5nXVRvxPRazTXDL+rVW02tyNUa7z4wA+t7uNcKqvLKa9seNji4dK12ToeLg1P+XMKT7RLnx3JorVfo9fr6OkbThfX9tsmXQhxaUmiITqEjrKFbmfiPKn3Waffic7jqoE38+3vL7E7bi1lmiKjhbkVlSXsjF2FmdqccYNuNbpvcMj4ZtsbFn4NYwbcwIY9S4g5uo2hfSddtNj/2PA9FVWl3DFpBpPO+JLv7uzD8/d9zfR3x7B846xWJwHe7t2YOOzOc1ds5r72Uq39dw2XpYVNs3WsTl6vrtG0W78dwf7Dm1m07muUCiWPTXvf1OEIIS6AJBpCCNHJ2Vo7MCLiWjbtXcqG3Yu5edy/T/M37V1KXb2WUf2nYm/r3OTe0ooiog6tITXrMJqqMnT6egBSsxIByMxNhvNb6tQqp6Z7jR5wQ7PlQX4RWFnYkpxxCG1dDRZmludss2+PofTtMbQ9wxStlJKZwJs/3oder+OhG14jPGiEqUMSQlwASTSEEEJwzfC72bR3KWt3/c8o0VgT9RsAk5p5wv/X1vl8v2gmNbVVLbZbWVPR/sGe5tQ5C9PfHXPOuuWaYtycvC5qPO3F6rRRjBptJbbWDk3qnBr1sLK0vWRxXUwnco7x3GdT0FSVctuEJ7nnuv+aOiQhxAWSREMIIQT9e4/FzcmbY+mxpGQm0M0nmPTcJBJT9uPs4MGgM6ZJHUk9wBe/PINKqWb6re8yLOwa3Jy8sDS3RqFQMGfZW/y66jMMBkO7xGcw6Ju9rtM3HEo6duBNmJ9jtMJM3bpd5w4lRbFy+8K2BQhcO/K+dhsJsbGyx87akYqqUvKKMppNNPKLswDwdLn81zBk5Cbx7KfXUVJRwA1j/4/HbnvP1CEJIdqBJBrtIOGWBZRHpdFnyf04DAswdTjiIslfFMPxZ//E7dZwAr+88ZL3n/HZZjI/34LPs2Oa3SpZiAuhVCqZMPR2fl31GWt2/spj095nzc5fgYbtVdUq418XWw/8hcFg4Karp3P7xKeatJeVn9Km/s1Obqt7+tqE0+UVZTR73d3Zm6z8FO697kUCvHu3qc+WZOWnsHbXb22+LzxoZLtOuerhF0504haOpEXTvWtIk/LE1IbzmXr4XsS5aZdAZl4yz3x6HUVluVw36n6evvNTU4ckhGgnkmgIIYQAGqZH/brqM9bvWcz/3fwm63cvarjezCLqiqqGHZHcnb2blJVWFLL/8OY29e3q2DClKT3nWLPlLW29OzhkPMs2zWLL/uXtlmhcM/yudts96kKMCJ9MdOIWNuxZzLUj7zUq0+l1bNq7FICREdeZIrx2kZWfwoxPr6OwNIdrht/Nc/d8dVmeeSKEaJ6coyFEKzlf05vwrU/g+/KVdwiiEABdPXsQ0n0wJeX5/LjkVQpKspqcnXGKr2dPANbt+p2q03Y9qqqp4KMFj6E5eQZCa/Xy74e1pR1p2Yls3LPEqOzPzXPYeuDPZu+7fdLT2FjZ8+uqz1i+aTb1uvomdVKzEtl24K82xdMRTBp+N84OHsQc2cbyTbONymYvfYPsglR6+IYxOHRCk3unvRjCmIftWX1yVOpiO5/+cgrSeObT6ygsyWbisDv5733fSpIhxBVGRjSEaCW1vSVq+3PvWCPE5WzS8LuIP76HpRt/PPnn5rd5vWb4Xfyx4XuOpcdy58t9CQ0cigEDh47tRK02Z/KIe1i14+dW92tpYc2917/Ij0te5d25D7N88xycHTxIzUwgp/AEd0yawf/WfNnkPndnH959/Dfe+OEevvrteX5Z+Sn+Xr1xsndFU1VGStZh8oszGTvwJkb1n3Je74mpWFva8vojC3jxq5v56rfnWb3zV3w8unE8I54TOUdxsHXhtUfmN/vl/NSaljOnvJ3LF788w7GTBwBWVTcs5M8pTOM/71/VWOfaEfdx3aj7Lri/13+4h/ziTMzUFhgMej6KfKzZende8yx+XXq26XUIIToGSTRaoKuqJe+nfRStPEx1ciH62nrM3e2wCe2C+7QInK4+94deXVElhcsPUbI5mZrjhdTma1Caq7AKdMPtlr543DMQharpoFJFTCbZP+yk4kAG9YWVKK3MULvYYBvujccd/XAY8e9e7fqaOnLm7qbo7wSqU4ow1OtQO1ph4eOIw4hu+Dw9CqWlWbu+N+cr7ro5aGIyCZp/B84Tmz/9Ou3tteTM2kWXR4fh//pEo7LSLcnkRu5FE5NJfVkNaicr7If64/3kKGx6exjVrckoIWbIl1j4OBKx8yly5u6m4I+D1KQVozBTMSjxZQCqkwvJ+mYbZVFp1OVrUJirMHOyxjrEE7ebwnC59t8nuedao6HNKiNnThSlW5LRZpaiUCkx97TDflgAnvcNxLqXcYxVR/PJ+m4H5btSqSuqRGVjgW2EN54PDMbpqh5tfn9LNhwjN3IPmthsdBotZq42OAwPwOuJkVj3cGtSP3rwF2gzS4nYPYOqhFxy5u6m8nAuurIa+q6djk1IlzbHIC5/YwfexDe/v4i2trrZszNOsbNxYtarW5n/57vsP7yZ3XFrcbRzY2S/KTw49RX+2jq/zX3fPvEp7G2cWLrxR46mxWBhbkVwt4HMfGg2NbXVzSYaABG9RrHg7b0s3ziLqLi1HE7ZR72uDmcHD7q4+jN1zMOMaWH7244uPGgEc17fwU9/f8iBxK2kZiXgZO/O9aMf5P7rX8LFsemp2aUVhRSUZOFo58rw8Mlt6i8t+yiJKfuNrmlrq42uDQo2HtU93/5OHUhYV69lXdTvLdabNOwuSTSEuExJotEMbWYph+/8mZrjhShtzLEf5IvKzpLa7DJKNydTX1zVqkSjdEsyaW+swbyLPZYBLtj286EuX0NFdCaaVzIp3ZZC0LzbjZ5GlW47zpF7f8VQp8MmpAv2A3zR1+uozSmneOVh1LYWjYmGQa8n8d5fKd+ZisreEvshfqjsLakr0FBzvIisr7fh+cAgzDtIouF2WziamEzyF8c0m2gYdHoKlx8CwP22cKOy1NdXkTtvDwq1Epswb+y72FOTVkzRiniK1x4haPa0Zv9ODAYDR/9vEaVbkrEf7IdVTzdqs8oAqEzMI+GGeeg0WqwCXbEd3xNQUJtbTtmW4+hr6o0SjbMp3ZrMsUcXo6vQYuZph+OYQFAo0KaXkPfLfsxcbYwSjeJ1Rzg2fQkGbT1WQe7YDfajNqec0i3JlG5KwvvpUfi+cHUr31k48cF6sr/dAUoFdoN8Mfe0pyoxj4I/DlL4TwJBs6bhNK75n9mcWbvIXbAX2whvHMf2oDa7DJQyfaGzsrGyZ+33ea2q62TvxnP3ftVs2QNTZ/LA1JlNrp9r/cPkEfcwecQ9zZZtmVve4n0uDh48fNPrPHzT6+eI+vLj69mDV/9vXqvrHzi8GYPBwD3X/hdrS7s29fXVC6vaGt5597foo/g29yWEuLxIonEGg17P0Yd+p+Z4IU4TexH4+Q2oHa0ay3UaLZqYrFa1ZdPXi5C//w+7fj5G12vzKki85xdK1h6h6K8EXKf+u5tI1jfbMdTp6PHdLbjeEGp0X11xFdrM0sY/V+xNp3xnKjahXQhe9iAqa/N/X4fBQMX+DFR2rdvOEf7dPautWnu6tOvUENLeWkPpxiTqiisxczY+7bZ0SzJ1+Rps+noZfSnP/WkfufP2YBXkTtDs27AK/PfpfPGaRI49upikJ5fSb9cMo78roDGpCNv0OFYBLkZlOXOi0Gm0+L50Nd5PjjIq01VqqUrMb9Xr0maVcuyRxeg0Wrr+9yq8nxiBQq0yKq8r+vecgdr8CpKfWoZBW4/f6xPxenRYY1nZrlSO3PsrWV9tw36QX0PCcg4lG4+R/e0OlNbm9P75LuyH+DeWZf2wg/R315P05FIitj+JmWvT/fbzft5Pr4V3tZiICCEunrikKD6YPx2A+6e8TBfXC9+qdv/hzXRx9WfKmIcuuK2O2N+xE7GNU/vSc5vfPEAI0TFIonGGknVHqYzPwaKrIz2+uwWVlfFogMrWAoeR3Vq421hz01UAzD3s8Ht1Aol3/ETRSuNEo66wYVGl49imXzDNnK0xc7b+t25BwzaQdoP8jJIMAIVCgf1A31bFeYrjmEAsfBzbdE9bqB2scJ7Yi6IV8RQuj6PLQ0OMygsWxwINIx+nGHR6Mr/cCkDPH281SjIAnCf1xv3uAeRF7qVg2UG6PGjcJoDvy+OaJBkAdQWn3uum05RUNhbYDejaqteVPashYXGZEoLPjNFNyi28HbHwdmz8c/6vB9BVaLEb6GuUZAA4DAvA88HBZH+3g+wfd7Yq0cietQuALg8NNkoyALz/M4LiVYloojPJ+/UAPk83jc9tWoQkGUKYSHZBKtkFqQDceNUj7ZJovPjA9xfcRkfuL68487y2HxZCXHqSaJyhdHMyAK439m2SZJwPQ72Osp2pVBzIoC5fg15bD4aGJ+YANSlFRvVtw72pPlZA0hNL8X5qFHb9fJpdxwFgE9oFVEryf4/GqpsLztf2wdzt/E+I9X5i5Hnf21rut0VQtCKegsWxRolGfWk1xeuPojBXGY3kVCbkUpdXgVWQO9Y93Ztt02GIP3mRe6k4kEmXB5uWO09qfstL2whvSjclkfLSP3R94SrsB/uhtGj7P4nSLQ0/M+539GtV/fLdJwBwuzWs2XL3aRFkf7eD8n3pGHT6Fv/+oeHnq2J/w/kCbrdFtNieJjqzYbSqmUTD+Zr22RJUCNF6HWUL3cvRyIjrzjqNTgjRcUiicQZtVikAVoGuF9xW9fFCjj70O9VJBS3W0Wm0Rn/2fXkcVYfzKN2UROmmJJRWZtiEeeEwPAC3m8Ow9HNurGvp74z/mxM58c46Ul9ZSeorK7Hwc8Kuf1ecJ/bC+ZreZ/2SagoOo7ph3sWeyvgcKhPzGhdxF/4Vj0Fbj/PkPpg5/Ttqoz3RsFiw+mg+Ud5vnLXt+qKmB32Zudq0mDB6/Wc4FXvSKduRQuIdP6GwUGPTxxP7oX643hTWZIF5S9r6M1Ob2/AL0qKrU7PlFl0dQanAUFNPfUlVs9OdTqkrqcagrQelAgufpicHA1j4Op3st6L58os4iiWEEEKIzksSjTO14x7exx5dTHVSAU4TgvB6bARWga6o7S1RqJRUHy8kdtQ3YDC+x9zdjtDVj1C+K43S7cep2JeBJiaLit0nyPpqG90+uh732/99ct7lwSG4XBdM8ZojVOxLp2JvOoXLDlG47BDWwZ4EL30AtV3rtmTN+nY71cmFbX6dbTklW6FU4nZzGFnfbqdgcQw2b0wCoGBJLNB0EbhB37Blormn/TmnrDX3Rf9sO26prMzps+g+KqIzKd2SRMW+DCoOZKCJyST7+534PD+Wrs+MOfdrQnHmX2OrtPt+8efZntJSPgaEEEII0f7kG8YZLLwangpXH2/7F+7TVScXUJWYh5mrDUFzb28yslCTVtzivQqlEocR3Rp3l9JV1ZK7YA/p728g5ZWVOF/bxyh5MHe3w/PegXjeOxBomG6U/PQyqhJyyf52R6sPmCvdknxei8HbkmhAwxqMrG+3U7g8Dr9XxlOTVoImOhMzd9sma1PMT/59mHnYtrmf1rLr59O4YF9fW0/h8jhSXviLzM+24Hp9yDlHKsy9Hag5XkjN8aLGn5+z1ve0pzq5kJr0YhxomjxpM0pBb0BhqW6yuP1MZk5WKCzUGLT1aDNKserWdC2KNr3kZL9t231GCCGEEOJCdKx5NR2Aw8nFt4XLDqGvqTvvdupLqgEw87BrdvrSqW1cW0NlbY734yMx72KPoaaemuNFZ61vE+yJ50ODAag8nNvqfoL/eIChWW+1+b+2suruit2ArtQVaCjdnNw4muF6Y1+j3ZqgYc2K2smayvhcqlPP/rrbg9Jcjfu0CGz7+YDBQFXiubf5dBzTHYC8/x1oVR/2QxoWexb8cbDZ8vzFMQ31Bvo2eT/OpFCrGhetF/wR20J7Ddfth/q3Kj4hzuXpjycz5mF7Yo5sN3UoV6QFK95nzMP2LFjx/mXbZ8yR7Yx52J6nP27bOR5CiCuLJBpncJ4YhHWwJ9qMUpKeXEp9eY1RuU6jpWx7yjnbsezmAkoF1UfzKd+dZlSWvyiGwj+b3z88+8edaE9uyXo6zcEsavM1oFRg7mUPQNmOFEo2HsNQrzOqa9DpKd2UBHTc+fendpbKXxRDwdKGL9xnTpsCUJqp8JkxCnQN2w5XxGQ2qaOvrad43RGqk1teC9Oc3Mi9zU4VqzlRTNWxhrbMW1j3cDqvR4ahtDGnaEU8Wd9sw6DTG5Vrs8rQHMpu/LP7Xf1R2VpQsTednHm7jeqW704jd/5eALqcsSPV2foHyJm7m/J96UZl2bN2oTmQgcreEvc7+7eqPSGEEEKI9iBTp86gUCoJmns7iXf8RPGqRMq2pWA3yBeVnQW12eVUJuRiG+Z1zvUCZi42eN43kNwFe0m4NRL7If6YudtSdSSP6iP5eD8xkqxvmz4NzPxqGyfeWYdVDzeseriiMFdTm13WsLOQ3oDXEyMwd2+YAlOVmEfam2tQ2VtiE9IFcw9bdNV1aGKyqMurwMzdFu/HR1yU9+lCuUwJIe31NRSvTgRocnbG6bo8PBRtZsOp2/HXzcG6tweW/s4ozFTU5pZTGZ+LvqqWXr/c3WT727PJ+/VA4wJ66yB3VDbm1OZrqNiXjqFWh8vUEOwifM7ZjoWPIz1/vI1j0xeT/uFGciP3YdvPG1CgzSihMiEXnxmjse3rBTRMdQv8+iaO/WcJaa+vJv9/0VgFuVOXV0H5nhOgN+D99Cicmtl2tzlO43ri9fgIsr/bQcJN87Ef7IeZh13jz5rCUk2Pr2+6oB3JhBCXzo1XPcpVg27BwbbpVMjLpc/eAf1Z+M5+LM3PPv1TCHFlk0SjGZa+TvRdO52c+XsoXnW44cufzoCZuy1O43riPq35bUTP5P/2NVj39iDvp/1oYrNQmCmxDfXC75cJWAW6NptoBLx3LWXbjqM5lE3ZrjT0NXWYu9vhND4Iz/sG4jj63zUMTuODqC+voXz3CWrSiqk4kIHK2hwLbwc87hmA570DMXOxadJHR6C2s8R5cm8KlzVMIXNrZjTjdP5vTsJ5Ui9yf9pHxb4MSjYeQ2lphvnJvxOnCUHYD27b/vO+L1xFyYZjVMRkUrE/A51Gi5mrLfZD/PG4sz/O17Z+21enq3oQtuExsmftomxLMiUbk1CaqzDvYo/HvQNxuT7YqL7zxF70XfUIWd/toGxXKtUrD6OyMcdxdHc8HxjcqpPnT+c3czz2A33JidxLZWwWuv0ZmLnY4HpzGN5PjGhxa2AhRMfjaOeCo92lSzIuRp+WFtb4dZHzeYTo7BQGg+F8Nsy57ERHR9O/f39C1zyKbaiXqcMR4rKmicsmbtIsDhw4QL9+rTs/pCM59Xkw+7Vt9PQLN3U4HUK1tpIVW+ax7cAKTuQco65ei4uDJz39wrlm+F0M6Tuxse7TH0/m4LEdfPH8SiJ6/Xv+TmlFIRv2LGZP3Hoy8pIpKs3F3MwC3y49mTDkdqaMeQiVsum6o8SU/fy+9msSju+hpKIAS3NrHGxd6B3Qn2tH3ke/3v+e/6Ktq+GP9d+zZf9yMvKS0enqsLNxwtPFl369R3PPdS9gYda6nfYutv+8fxWJKft59/H/MSLi2mbrfL/4FRav+4bbJjzJY7e9BzSsl1j494fcd/1LPDB1ZmPd1Tt/5aMF/2HisDt57Lb3WPjXh+w6tIbCkmwGh07gvSf+B0BVjYZfVn7K5n3LKCzNxtHOjeHhk3lw6it8t3gma3f9xosP/GB0jkdr+nz6zk9Y+PdHbD2wgqLSHBxsXRgWNpmHb3wNe9t/t16HhjUaz3x6LWE9R/DVC6uavO4yTRFLN/zAroNryC5IRa/X4eLoSUjgEK4f9QAhgYMb6x5O2cfWAyuIObKdguJMKqpKcbB1IThwMNMmPElw90Hn8bdz5Tp2IpZH3hl12X4+iyuLjGgIIUQnl1uUzn+/uJGM3CSsLGwJ7TEEGyt7Coqz2BO/ntKKQqNEoyV74zfw7e8v4ebkjY9Hd/p0G0BxWT4Jx/eSmLKf/Yc38+7jvxlt7bw/YRMvfX0r9bo6eviGERI4hHpdHQUlWWw9sAJrK/vGREOv1/PyV7cSfWQrNlYOhPccjo2VPSXlBaTnJfHLyk+58apHsXDoGInGpGF3kZiynzW7fm020dDpdWzYs7ihbhsO7yvTFDH93bFUVpcR2mMYQX4RjV/0q2oqmPHxtRxLj8XGyp5BIeNRKVVs2reUfQkb8fc6vwM6K6vLeeKDCRSWZtO353ACvHoTl7ybv7bO40jqAb6fuRG1unWH3CalH+Slr26lqCwXexsnwoNGYG5mSV5ROpv2/gFglGjMXf4OsUe3E+DVm14B/TEzsyAjN4ltB1awI+YfXn9kPmMGXJxdCYUQF0YSDSGE6MT0ej2vfXcXGblJDA+/lpce+B47m38Pk6yqqSAxtXU7qgX5RfD9zI306TbQ6HpRaS4vfnULO2NXsnnfMq4adHNj2a+rP6deV8dr/zePqwffanRfmaaI3MJ/NziIS44i+shWevqG89WLq7Gy+HdqqMFgID55DzaWrd/G+dTITFu19lTqqwbdzHeLXmb3obWUVhQ1mZq0L34DxWV59PSLoJt3n1b3v/vQWgYGX8Vb//kZ6zNe77w/3+VYeiw9fcP5+JnljX1WVpfzyrd3sDN2Zav7Od2OmH8YEjqBb19ej7Vlw3qvwtIcHnv/ao6lx7J5/zLGD5l2znaqajTM/OZ2ispymTL6IR6f9j4Wp63jKK0oJD03yeieaROf5NWH5+LsYDwFdFfsal7/4W4+/3kGQ0InYmlhjRCiY5FEQwghOrGdB1eRlH4QT1c/Xn9kvtGXPgBrSzv69x7Tqrb8vIKave7i6Mn0W97m+S9uYOuBFUaJRkl5PgCDQsc3uc/B1sVocfKpuqE9hxolGdBwAGZojyGtivOUQSHj8HT1bdM9bWFn7ciIiGvZtHcpG/cs5uZx/zEqX7PrNwAmDb+zTe2qVWY8e89XTZKMGm0VK7f/BMATd3xklNjYWNkz467PeOCNwZzPjGkrC1v+e/93jUkGgKtjF24c+wizlr5OdOLWViUaK7cvpKAki+Dug3jm7s+bHFzqaOeKo53x2UWDQ5r+bAAMC7+GMQNuYMOeJcQc3cbQvpPa/LqEEBeXJBpCCNGJ7Y3fAMC4wbc2STLOR72unpgjW0k4vpfisnxq62owYKC6RgNAZl6yUf1e/v1Jyz7Cu7Mf4u5r/0uf7gObXccB0MM3DKVSxartP9PVI5BR/aY2ecrdFndNfva8722tScPuYtPepazZ9ZtRolFRWcLO2FWYqc0ZN+jWs7TQVA+/MLq4Nt384tiJWGq0lbg7+9C3x9Am5f5evejuE0pyRuvPcTqlp184Lg5Ndwb0Pbngu7A0p1XtnPp5u2b4PU2SjLMprSgi6tAaUrMOo6kqQ6evByA1q2HnwszcZOjb6uaEEJeIJBpCCNGJ5RU1TE3y9bzwHYIycpN49bs7OZFztMU6lTUVRn/+v5vf5HhmPHvi17Mnfj2W5tYE+UcQ0WsUE4bejpdbQGNdb/duPDHtA35Y8ipf/vocX/76HF5u/gR3H8zw8GsZ2e/6FpMUUxnQ5yrcnLxJSj9ISmYC3XwadqDbtG8ZdfVaRvWf2mQh9bl4Ojc/ClNQ2nBej4dL1xbv9XDpel6JhodL81t9nxpVqa3TtqqdvKIM4N8EpTX+2jqf7xfNpKa2qsU6Z/5cCSE6Bkk0hBCiE1PQ+qfK5/LGD/dyIucow8Mnc/vEGfh16YmNtQMqpYqM3CTuebV/k2k7Lg4ezHp1K7FHt7P/8Gbik3dzOGU/B4/t5OeVn/DcPV8xecQ9jfVvuno6owfcyI6Yf4hLiiIueTfrdy9i/e5FBHbty1cvrMLGyr5V8f666nPSc4+1+XW+/OCPra6rVCqZMPR2fl31GWt2/spj0xpO3l57atrUsLZNmwIwNz/7Yvez/Z0qFed3Tq/iPO9r2k7bft6OpB7gi1+eQaVUM/3WdxkWdg1uTl5YmlujUCiYs+wtfl312XlNBxNCXHySaAghRCfmfvLpd0Ze0jlqnt2JnGOkZCXgZOfG24/92mRkISs/pcV7lUol/XqPbtxdqlpbyfJNs5m99A2+/PU5RvefapQ8uDh4MHXMQ0wd8xAAyRlxvD/3EZIzDvHb6i/4v5veaFXMe+M3nNdi8LYkGtCQTPy66jPW71nMI7e8TXZBKodT9uHs4MGgFtYfnA9Xxy7Av6MGzcktSm+x7FJwd/bhRM5RMnKTmp3edaatB/7CYDBw09XTuX3iU03Kz/ZzJYQwPUk0hBCiExsUfDV/b53P+t2Lufva/573GRQVlSUAuDh2aXb60qltXFvDysKGO695huWbZlNQkkVGbhK9Avq3WD+wayg3j/sPnyx8guMZca3up7nzHS6Grp49COk+mPjje9gbv56E43sBGDf4NtSq9vs1HOQXgaW5NXnFGSQc30Nw98FG5SdyjrXp/bkYBgVfzb6Ejaze8TOTR5x7nUZFVcPPlbuzd5Oy0opC9h/efFHiFEK0j/YZCxVCCHFZGh5+LYFd+5JbeIL35jyMpqrMqLyqpoIDiVvO2Y6PR3eUCiWp2Yc5eGynUdnqHb+w8eT5CGf6fe3X5BdnNrl+JC2aorJclAolbs4N6wOiE7ey+9Ba6nX1RnV1eh174tYBZ1+fYEqnzslYveMX1kX9bnStvVhaWHPNiLsB+Pp/L1CmKWosq6qp4Ktfn0Nv0Ldrn2117aj7cHXsQvzxPXz12/No62qMyksrCjmUFNX451Nrh9bt+p2qkxsKQMPr+WjBY2iqSi9J3EKI8yMjGkII0YkplUreeewXnv/iBrZF/8X+w5sJDRyCjbU9+cVZJGfEEeQXcc4tbh3tXJk69mGWb5rNM59cS1jQCJzt3UnJOkxq1mHumvwcv676rMl9P//zCT8ueRW/LkH4dQnCTG1OfkkWCcl70Bv03HnNs427HR3PjOe7RS9jY+VAT78wXBw8qKmtJjFlP0VluTg7eHDHNc9cjLfpgo0deBPf/P4i22P+Bmjz2Rmt9fCNrxOXtJujaTHc+XI4Eb1GolSqOHh0BzZW9gwPn3xyt6vWHa7X3qwt7Xj3if/x8le38ufmOWzat5TQwCGYqy3JLU4nOf0QVw26pXFa1TXD7+KPDd9zLD2WO1/uS2jgUAwYOHRsJ2q1OZNH3MOqHT+b5LUIIc5NEg0hhOjkurj5M+f17SzbOIttB/7iUFIUeoMOZ3sPhvadyDXD725VO0/e/jHdfUJYsWUeiakHUKvM6OkXzvRb38HXs2ezicaMuz5l/+HNHE2LIebINrR1Nbg4eDI07BpuGPswA4Ovbqw7LOwaNFVlHEraRVZ+CvHJe7CytMHDuStTxjzI1DEPNzmDoaOwsbJnZMT1p50E3vZF4K3t5+sXV/PzP5+wef9y9sStw8HOldH9b+DBG17l7dkPABidT3Kp9fLvx/y3drNk/XfsOria/Yc3o1AocXX05OpBt3L96Aca69rZODHr1a3M//Nd9h/ezO64tTjauTGy3xQenPoKf22db7LXIYQ4N4Whk2zVEB0dTf/+/Qn85masenTMX0RCXC6qkwpJfnIpBw4coF+/fqYOp81OfR7Mfm0bPf3CTR2OEJeEpqqMO1/uS0VVKcs/P95hkzJxYY6diOWRd0Zdtp/P4srSaUY0XF1dsbS2IvnJpaYORYgrgqW1Fa6u8kVFiI7maFrMycMN/12GWaYp4tOFT1FeWcLQvpMkyRBCXBKdJtHw9fXlaOIRCgsLTR2KEFcEV1dXfH2bPzhMCGE6r3x3BzpdPQHefXC0c6GoNI/kjENUVpfj5uTN03d9auoQhRCdRKdJNKAh2ZAvRkIIIa5k08Y/wY7YVaRlJ1JRWYJKqcbT1Y8pox9i2sQnZTRDCHHJdKpEQwghhLjS3TrhCW6d8ISpwxBCCDlHQwghhBBCCNH+JNEQQgghhBBCtDtJNIQQQgghhBDtThINIYQQQgghRLuTREMIIYQQQgjR7iTREEIIIYQQQrQ7STSEEEIIIYQQ7U7O0RBCdFonco6aOgQhhGhX8rkmOhKFwWAwmDoIIYS4lNLT0+ndqzdV1VWmDkUIIdqdtZU1iUcS8fX1NXUoopOTREMI0Smlp6dTWFho6jBEG9TX1/Pggw+i0Wj47bffsLS0NHVIV6SamhruuOMO7O3tmT9/PiqVytQhiTZydXWVJEN0CDJ1SgjRKfn6+sov4svMRx99RGJiIjt37mTIkCGmDueK9vvvvzNixAg2b97MCy+8YOpwhBCXKRnREEII0eElJCTQr18/ZsyYwUcffWTqcDqFF154ga+++oqYmBj69Olj6nCEEJchSTSEEEJ0aHV1dQwdOpSqqiqio6NlytQlUlNTQ0REBLa2tkRFRaFWyyQIIUTbyPa2QgghOrSPP/6Y2NhYFi5cKEnGJWRpacnChQuJjo7m448/NnU4QojLkIxoCCGE6LDi4uLo378/zz//PO+//76pw+mUXn75ZT777DMOHDhAaGioqcMRQlxGJNEQQgjRIdXV1TF48GBqa2s5cOAAFhYWpg6pU9JqtfTv3x8LCwt2796NmZmZqUMSQlwmZOqUEEKIDumDDz7g0KFDLFy4UJIME7KwsCAyMpKDBw/y4YcfmjocIcRlRBINIYQQHU5sbCzvvPMOM2fOpH///qYOp9MbMGAAL7/8Mm+//TaxsbGmDkcIcZmQqVNCCCE6lNraWgYOHAjAvn37MDc3N3FEAhr+XgYMGIBSqWTv3r3y9yKEOCcZ0RBCCNGhvPfeexw+fJjIyEj5MtuBmJubExkZSUJCgizMF0K0iiQaQgghOozo6Gjee+89Xn31VSIiIkwdjjhDv379eOWVV3jvvfeIjo42dThCiA5Opk4JIYToELRaLQMGDECtVrN3717Z3aiDqq2tZfDgweh0Ovbt2ycL9YUQLZIRDSGEEB3C22+/zdGjR1m4cKEkGR3YqSlUR44c4Z133jF1OEKIDkwSDSGEECa3b98+PvroI15//XX69u1r6nDEOYSFhfHaa6/x4Ycfsn//flOHI4TooGTqlBBCCJOqqamhf//+WFlZERUVJaMZl4m6ujqGDBlCTU0N0dHRMoVKCNGEjGgIIYQwqTfffJPk5GQiIyMlybiMmJmZsXDhQpKSknjzzTdNHY4QogOSREMIIYTJ7N69m08++YS33nqLkJAQU4cj2igkJIS33nqLjz/+mD179pg6HCFEByNTp4QQQphEdXU1ERERODg4sHPnTtRqtalDEuehvr6eYcOGUVFRQUxMDJaWlqYOSQjRQciIhhBCCJN4/fXXSUtLY8GCBZJkXMbUajWRkZGkpKTw+uuvmzocIUQHIomGEEKIS27Xrl189tlnvPPOO/Tp08fU4YgL1KdPH9555x0+/fRTdu3aZepwhBAdhEydEkIIcUlVVVURHh6Oi4sLO3bsQKVSmTok0Q50Oh0jRoygqKiI2NhYrK2tTR2SEMLEZERDCCHEJfXKK6+QkZFBZGSkJBlXEJVKRWRkJBkZGbz66qumDkcI0QFIoiGEEOKS2b59O1999RXvvfceQUFBpg5HtLOgoCDeffddvvzyS3bs2GHqcIQQJiZTp4QQQlwSlZWVhIWF4enpydatW2U04wql0+kYNWoU+fn5xMbGYmNjY+qQhBAmIiMaQgghLomXX36Z7OxsFixYIEnGFUylUrFgwQKysrKYOXOmqcMRQpiQJBpCCCEuui1btvDNN9/w4Ycf0qNHD1OHIy6ynj178sEHH/D111+zdetWU4cjhDARmTolhBDiotJoNISGhuLr68vmzZtRKuUZV2eg1+sZM2YMmZmZHDp0CFtbW1OHJIS4xOTTXgghxEX14osvkp+fz/z58yXJ6ESUSiXz588nLy+Pl156ydThCCFMQD7xhRBCXDQbN27k+++/5+OPP6Z79+6mDkdcYoGBgXz00Ud89913bNq0ydThCCEuMZk6JYQQ4qIoLy8nNDSU7t27s2HDBhnN6KT0ej1XX301qampxMXFYWdnZ+qQhBCXiHzqCyGEuCj++9//UlRUxLx58yTJ6MROTaEqLCzkv//9r6nDEUJcQvLJL4QQot2tW7eO2bNn8+mnnxIQEGDqcISJBQQE8MknnzBr1izWr19v6nCEEJeITJ0SQgjRrsrKyggNDSUoKIh169ahUChMHZLoAPR6PRMmTODYsWPEx8djb29v6pCEEBeZjGgIIYRoV8899xylpaXMnTtXkgzRSKlUMm/ePEpKSnjuuedMHY4Q4hKQREMIIUS7Wb16NfPmzePzzz/Hz8/P1OGIDsbPz4/PP/+cuXPnsmbNGlOHI4S4yGTqlBBCiHZRWlpKcHAwoaGhrF69WkYzRLMMBgOTJk0iISGB+Ph4HB0dTR2SEOIikRENIYQQ7eKZZ55Bo9EwZ84cSTJEixQKBXPnzqWiooJnn33W1OEIIS4iSTSEEEJcsH/++YfIyEi+/PJLunbtaupwRAfXtWtXvvjiCxYsWMDKlStNHY4Q4iKRqVNCCCEuSHFxMSEhIURERPDPP//IaIZoFYPBwLXXXktsbCwJCQk4OTmZOiQhRDuTEQ0hhBAX5Omnn6aqqorZs2dLkiFaTaFQMGfOHKqqqnj66adNHY4Q4iKQREMIIcR5W7FiBb/88gtff/013t7epg5HXGa8vb356quv+Pnnn/nrr79MHY4Qop3J1CkhhBDnpaioiODgYAYNGsSKFStkNEOcF4PBwJQpU9i/fz/x8fG4uLiYOiQhRDuREQ0hhBDn5cknn6S2tpZZs2ZJkiHOm0KhYNasWWi1Wp566ilThyOEaEeSaAghhGizpUuX8r///Y9vvvmGLl26mDoccZnz8vLi66+/5rfffmPZsmWmDkcI0U5k6pQQQog2KSgoIDg4mOHDh7Ns2TIZzRDtwmAwcOONNxIVFUVCQgKurq6mDkkIcYFkREMIIUSbPPHEE+j1en788UdJMkS7USgU/Pjjj9TX1/PEE0+YOhwhRDuQREMIIUSrLV68mMWLF/Pdd9/h4eFh6nDEFcbT05PvvvuORYsWsWTJElOHI4S4QDJ1SgghRKvk5eURHBzM2LFjWbx4sYxmiIvCYDBw6623snXrVhISEnB3dzd1SEKI8ySJhhBCiHMyGAzccsstbNu2Tb78iYsuPz+f4OBgRo8ezZIlSySpFeIyJVOnhBBCnNOiRYtYtmwZ33//vSQZ4qJzd3fn+++/Z+nSpSxevNjU4QghzpOMaAghhDir3NxcgoODGT9+PL///rupwxGdyLRp09iwYQMJCQl4enqaOhwhRBtJoiGEEKJFsuWoMKXCwkKCg4MZOnQoy5cvlylUQlxmZOqUEEKIFv3666+sWLGCH3/8UZIMccm5urryww8/sGLFCn777TdThyOEaCMZ0RBCCNGs7OxsgoODmTx5Mr/++qupwxGd2J133smaNWtISEiQk+iFuIxIoiGEEKIJg8HAlClT2L9/P/Hx8bi4uJg6JNGJFRUVERwczKBBg1ixYoVMoRLiMiFTp4QQQjTx008/8c8//zBr1ixJMoTJubi4MGvWLP7++29+/vlnU4cjhGglGdEQQghhJDMzk5CQEKZMmcJPP/1k6nCEaHTPPffw999/k5CQgLe3t6nDEUKcgyQaQgghGhkMBiZPnszBgwdJSEjAycnJ1CEJ0ai4uJiQkBDCw8NZuXKlTKESooOTqVNCCCEaLViwgDVr1jBnzhxJMkSH4+zszOzZs1m9ejWRkZGmDkcIcQ4yoiGEEAKA9PR0QkNDufnmm5k/f76pwxGiRQ888ADLli0jPj6erl27mjocIUQLJNEQQgiBwWBg4sSJHD58mPj4eBwdHU0dkhAtKi0tJSQkhODgYNasWSNTqITooGTqlBBCCObMmcP69euZO3euJBmiw3N0dGTOnDmsW7eOuXPnmjocIUQLZERDCCE6ubS0NEJDQ7n99tuZM2eOqcMRotUefvhhFi1aRHx8PH5+fqYORwhxBkk0hBCiE9Pr9YwfP56kpCTi4+Oxt7c3dUhCtFpZWRmhoaH07NmT9evXyxQqIToYmTolhBCd2KxZs9i0aRPz58+XJENcdhwcHJg3bx4bN25k1qxZpg5HCHEGGdEQQohOKiUlhb59+3L33Xfz448/mjocIc7bo48+yq+//kpcXBwBAQGmDkcIcZIkGkII0Qnp9Xquuuoq0tLSiIuLw87OztQhCXHeKioqCA0NJSAggI0bN6JUyoQNIToC+ZcohBCd0Pfff8/WrVuZP3++JBnismdnZ8e8efPYsmULP/zwg6nDEUKcJCMaQgjRySQnJxMWFsYDDzzAt99+a+pwhGg3jz/+OJGRkRw6dIju3bubOhwhOj1JNIQQohPR6/WMHj2arKwsDh06hK2tralDEqLdaDQa+vbti4+PD1u2bJEpVEKYmPwLFEKITuTrr79mx44dLFiwQJIMccWxtbVl/vz5bN++nW+++cbU4QjR6cmIhhBCdBLHjh0jLCyMRx55hK+++srU4Qhx0Tz11FPMnTuXgwcP0qNHD1OHI0SnJYmGEEJ0AjqdjlGjRpGfn09sbCw2NjamDkmIi6ayspKwsDA8PT3ZunUrKpXK1CEJ0SnJ1CkhhOgEvvzyS6KioliwYIEkGeKKZ2Njw4IFC9i1a5eM3glhQjKiIYQQV7gjR44QHh7OY489xueff27qcIS4ZJ555hl+/PFHYmJi6NWrl6nDEaLTkURDCCGuYDqdjuHDh1NSUkJMTAzW1tamDkmIS6aqqorw8HBcXFzYsWOHTKES4hKTqVNCCHEF++yzz9i3bx+RkZGSZIhOx9ramsjISPbs2SOjeUKYgIxoCCHEFerw4cNERETw1FNP8cknn5g6HCFM5vnnn+fbb78lOjqaPn36mDocIToNSTSEEOIKVF9fz9ChQ9FoNERHR2NlZWXqkIQwmerqaiIiIrC3t2fXrl2o1WpThyREpyBTp4QQ4gr08ccfEx0dTWRkpCQZotOzsrIiMjKSAwcOyOieEJeQjGgIIcQVJi4ujv79+/Pcc8/xwQcfmDocITqMl156ic8//5zo6GhCQkJMHY4QVzxJNIQQ4gpSV1fHkCFD0Gq1HDhwAAsLC1OHJESHUVNTQ//+/bGysiIqKgozMzNThyTEFU2mTgkhxBXkww8/5ODBg0RGRkqSIcQZLC0tiYyMJDY2lo8++sjU4QhxxZMRDSGEuELExsYycOBAXnzxRd59911ThyNEh/XKK6/wySefsG/fPsLCwkwdjhBXLEk0hBDiClBbW8ugQYPQ6/Xs27dPRjOEOAutVsuAAQNQq9Xs3btXplAJcZHI1CkhhLgCvP/++yQkJMiUKSFawcLCgoULFxIXF8f7779v6nCEuGJJoiGEEJe56Oho3nvvPWbOnEm/fv1MHY4Ql4V+/foxc+ZM3n33XWJiYkwdjhBXJJk6JYQQlzGtVsvAgQNRKpXs3bsXc3NzU4ckxGWjtraWgQMHYjAY2L9/v/z7EaKdyYiGEEJcxt555x0SExNZuHChfEkSoo3Mzc1ZuHAhiYmJvPPOO6YOR4grjiQaQghxmdq/fz8ffvghr7/+uuycI8R5Cg8P57XXXuODDz5g//79pg5HiCuKTJ0SQojLkFarpV+/flhaWrJ7927ZNUeIC1BXV8fgwYOpra2Vgy6FaEcyoiGEEJehN998k6SkJCIjIyXJEOICmZmZERkZybFjx3jrrbdMHY4QVwxJNIQQ4jKzZ88ePv74Y958801CQ0NNHY4QV4S+ffvyxhtv8NFHH7F3715ThyPEFUGmTgkhxGWkpqaGiIgIbG1tiYqKQq1WmzokIa4Y9fX1DBkyhMrKSmJiYrC0tDR1SEJc1mREQwghLiOvv/46KSkpLFy4UJIMIdqZWq1m4cKFpKSk8MYbb5g6HCEue5JoCCFEB7RixQq2bNlidG3Xrl18+umnvP322/Tp08c0gQlxhQsODuatt97i008/JSoqyqhsy5YtrFixwkSRCXH5kalTQgjRAfXv358BAwYwa9YsAKqqqggPD8fZ2ZkdO3bIaIYQF1F9fT3Dhw+ntLSU2NhYrKysAHjkkUeIjo6WbXCFaCUZ0RBCiA4oNTUVPz+/xj+/+uqrpKenExkZKUmGEBeZWq0mMjKSEydO8OqrrzZe9/PzIzU11YSRCXF5kURDCCE6mLKyMkpKSggICABg+/btfPnll7z33nv06tXLxNEJ0Tn07t2bd999ly+++IIdO3YAEBAQQHFxMeXl5SaOTojLg0ydEkKIDubgwYOEh4cTFRVFaGgo4eHhuLu7s23bNlQqlanDE6LT0Ol0jBw5koKCAg4ePMjBgwcZNmwYBw8epG/fvqYOT4gOT0Y0hBCigzk1NSMgIICZM2eSmZnJggULUKlU1NfX88MPPxhN5xBCtJ9XX32VH374gfr6elQqFQsWLCAzM5OZM2c2jjLK9CkhWkcSDSGE6GBSU1OxsrIiMTGRr7/+mg8++ICePXuyZs0awsLCePzxx6mrqzN1mEJckerq6nj88ccJCwtj7dq1BAUF8f777/PVV19x5MgRLC0tJdEQopUk0RBCiA4mNTUVX19fHnzwQUaOHMn48eOZPHky11xzDW5ubuzfv5+PPvrI1GEKcUX66KOP2L9/P66urkyaNInJkyczfvx4RowYwUMPPYSvr68kGkK0kiQaQgjRwaSlpVFTU0NOTg7+/v6EhYVx9OhRli5dyubNm+nXr5+pQxTiitavXz+2bNnC0qVLOXr0KOHh4QQEBJCdnY1WqyUtLc3UIQpxWZDF4EII0cF069atcfqUmZkZr732Gk8++SQWFhamDk2ITker1fL111/z7rvvUldXR3V1Nd26deP48eOmDk2IDk8SDSGE6GDUajU6nY5HH32Ut99+G3d3d1OHJESnl5+fz+uvv86sWbMaN2YQQpydJBpCCNHBvPzyy0ycOJExY8aYOhQhxBm2bNnC2rVr+eCDD0wdihAdniQaQgghhBBCiHYni8GFEEIIIYQQ7U5t6gCEuBKlp6dTWFho6jCEuCK4urri6+tr6jBEC+TzToiWdfbPL0k0hGhn6enpBPXuRU1VtalDEeKKYGltxdHEI536l3VHlZ6eTq+g3lTXVJk6FCE6JCtLa44cTey0n1+SaAjRzgoLC6mpqibwm5ux6uFq6nCEuKxVJxWS/ORSCgsLO+0v6o6ssLCQ6poqbg78BlerHqYOR4gOpbA6iaXJT3bqzy9JNIS4SKx6uGIb6mXqMIQQ4qJzteqBl22oqcMQQnQwshhcCCGEEEII0e4k0RBCCCGEEEK0O0k0hBBCCCGEEO1OEg0hhBBCCCFEu5NEQwghhBBCCNHuJNEQQgghhBBCtDvZ3lYIcdFFD/4CbWYpEbtnYNnV6YLbS56xnIIlsXT//Abcp0W0Q4Ttr2D5IfJ+2kdVYh4GnQGrQFfcp4Xjce9AFMrze8ZTsjmJnNlRaA5lY6ipx8LPCdepIXhNH47SQj7OhbiUvogeTKk2kxkRu3Gy7HrB7S1PnkFswRJu6P45Ee7T2iHC9neoYDn78n4iryoRg0GHq1Ug4e7TGOhxL0rF+X2uJZVsJipnNtmaQ9QbanCy8CPEdSrDvaajVlq08ysQl5r8ZhJCiHaWMvMf8hbuQ2GpxmF4NxRmSsp3pJL6yirKdqTSc/ZtbU42sr7fQfp760GlxGGoPyoHS8p3nyDj402UbDhGn8X3obIyv0ivSAjR2f2TMpN9eQtRKyzp5jAcpcKM1PIdrEp9hdSyHdzWc3abk40dWd+zPv09lKjwdxiKpcqBE+W72ZTxMcdKNnBfn8WYq6wu0isSl4IkGkKIi67Povsw1Osw97Rvl/Z8Xx6H9xMjMHO3a5f22lPRysPkLdyHmbstwUsfxKqbCwC1BRoO3xpJ8epEcufvocvDQ1vdpuZgFunvb0BpZUafxfdj188HAF2llsR7f6Vi9wkyPtyI/1vXXJTXJIRo6r4+i9AZ6rE392yX9sb5vswI7yewM3Nvl/ba0+GilezLW4itmTsPBi/FxaobAJraAiIP30pi8Wr25M5naJeHW91mluYgG9Lfx0xpxf19FuNj1w8Ara6SXxPv5UTFbjZmfMg1/m9dlNckLg1ZoyGEuOgs/Z2xCnRDaaZql/bMPeywCnRDbW/ZLu21p6xvtwPgN3N8Y5IBYO5mS8AH1zXU+W4HBr2+DW3uAIMBr8dHNCYZACobCwI/vwGUCnJ/2kd9WXX7vAghxDk5W/rjZhWISmnWLu3ZmXvgZhWIpbp9Hsi0p+1Z3wIw3m9mY5IBYGvuxnUBHwCwI+s79IbWf67tyPoWAwZGeD3emGQAWKhsuCHwcxQo2Zf7E9X1Ze30KoQpyIiGEKJNKuNzyPhsM+V70zFo67EKdMXz/kG4396PKO83ABiaZfwEqqU1Ggm3LKA8Ko0+S+5HZWtB5udbqNiXjq66DqtuLng+NBiPO/o3iaGjrtHQZpdReSgbhbkK5+uCm5Q7DPXH3NOe2txyNAcysRvoe8429bX1lG5OAsDtxr5Nyi39nLHr35WKfemUbEpqto4Q4uxyKuPZnPEZ6eV7qTdocbUKZJDn/fRzv503orwBeGtoltE9La3RWJBwC2nlUdzfZwkWKlu2ZH5OesU+6nTVuFh1Y7DnQ/T3uKNJDB11jUaZNpvsykOoFOYEO1/XpNzfYSj25p6U1+aSqTmAr93Ac7ZZr68lqXQzAH3dbmxS7mzpR1e7/qRX7COpZFOzdcTlQUY0hBCtVrYjhbipcylZdxRzVxucJgShsrXg+At/k/bO2vNut3RLMvFT5lKTUYLD6O7YhnahKjGPlOf/IvvHne34Ci6uyvhcAKx7uqOyav4pp024V0PdhJxWtVl9vAh9dR1qRyss/Z2brWMbdrLN+Na1KYT4V0rZDubGTeVoyTpszF0JcpqAhcqWv4+/wNq0d8673eTSLcyNn0JJTQbdHUbTxTaUvKpE/kp5np3ZP7bjK7i4civjAXC37olZC+slvGzCAcipTGhVm0XVx6nTV2OldsTZ0r/5Nm3DTrYZ37aARYciIxpCiFbRVdeS9NQyDDX1+DwzGp/nxqJQKACo2JfO4bt+Pu+2s7/bQffPpuJ++7/D5wVLD5L81DIyv9yKx30DL3ihc01GCTFDvmzzfW63hhP4ZeuepmkzSgAw93FosY6Fd0NZTXpp29r0brnNU2XaVrYphGhQq6tmWdJT1BtqGO3zDGN9nmv8XEuv2MfPh+8677Z3ZH/H1O6f0c/99sZrBwuWsiz5KbZmfslAj/sueKFzSU0GX8YMafN94W63cmPgl63rQ5sBgIO5T4t1HCwaRn1Ka9Lb2KZ3y22eLCvVtq5N0TFJoiGEaJXifw5Tl1eBZTcXfJ4d0/jLGMBuoC+e9w0k+/vzG31wntzHKMkAcLs5jKxvtlOdVEDlwWzsh/hfSPiobMxxuzW8zffZDTr39KZTdJW1DX1Zt5wUnSrTabTt16bNyTYrW9emEKLB4eJ/qKjLw8WyG2N8njX6XPO1G8hAz/vYmf39ebXdx3myUZIBEOZ2M9uzvqGgOonsyoP427c9STiducqGcLdb23yfr92gVtet1VWe7Mv6LHE0lGl1mnZs0+Zkm5WtalN0TJJoCCFapWx3GgAuU0Ka3ZrV9Ya+551oOI3r2ex1q0BXqpMKqM2rOK92T2fmbNPqkQkhROeQVrYbgBCXKc1uzdrX9YbzTjR6Oo1r9rqrVSAF1UlU1OadV7unszFzbvXIhBCmIGs0hBCtUpvb8GXfooVpQS1dbw2LFqYFqWwbDmvS19Sfd9uXUuPIQlVti3VOlZ16be3S5qlRDxs53EqItqiobVhX5WDR/LSglq63xqnpRGeyUNkCUK+vOe+2L6VTIwu1uqoW65wqO/Xa2qfNypNt2rSqTdExyYiGEKJNTp9aYETZwvXWuJB7W6muuJITb69r8312g3zxuLPpzlfNsejqCEBtZsvbMdZmlxvVPWebPifbzGq/NoUQxlr6XFNcwPPYC7m3tSrrill34u023+drN4j+Hne2qq6jRcOOWmW1mS3WKa/NNqp77jZ9TraZ1WKdtrYpOiZJNIQQrWLu0XA4njaztNlybUbz1zsKXWUtBUtiz+ve1iYaNsFdAKg6lo+uuq7Znac0sQ2/WG1CurSqTatAV5SWZtSXVlOTVtzszlNtbVMI0cDO3AOAUm3zX6JLTy5a7qhqdZXEFiw5r3tbm2h0sWnYqju/6hh1uupmd57K0sSerBvSqjZdrQIxU1pSXV9KcU1asztPtbVN0TFJoiGEaBX7wX4ULIqh6O+EhsXgZ6zTKFwRZ6LIWseyq1OT8z3am4W3AzahXaiMy6H4n4Qmi8/LotKozSnHzN0Wu/6tm5KhNFfjeFUgxasSKVh+iK7PjDEqrzlRTMWBDBTmKpyu7tE+L0SITsLPfjAxBYtIKPqbMT7PNlmnEVe4wkSRtY6TZdcm53u0NwcLb7rYhJJTGUdC8T9NFp+nlUVRXpuDrZk7PnateyijVpoT6HgVicWrOFSwnDFdnzEqL645QUbFAVQKc3o4Xd1ur0VcerJGQwjRKi7XB2PmZkt1ciFZX23DYDA0llVEZ5IXuc+E0XUc3k+MBODE++upTi1qvF5XqCF15j8NdR4f0SRRy1mwh5hR35D01LKmbT4+EhQKsr/bQUXMv09edZVajj+3AvQGPO8diNrhwrbKFKKzCXa5HlszNwqrk9mW9ZXR51pmRTT78iJNF1wHMtL7CQDWn3ifourUxuuaukL+SZ0JwAjvx5skantyFvBNzCiWJT3VTJuPo0DBjuzvyKyIabyu1VWy4vhzGNAz0PNerNTnv/5PmJ6MaAghWkVlbU7g1zdx5P7fyPh0M4Ur4rEO9qQuX0P5nhN0eXAwOXOiUJipTB2qSblcF4zHvQPJ+2kfB8d9j+OIbijMVJTtSEFXocVpUi88Hxjc5L764ipqjhdi7t50MaVtuDe+M8eR/t564qfOw2F4AGp7S8p3p1FXWIlthA9dX5KnfkK0lbnKmpsCv+a3I/ezOeNT4gtX4GkdjKYunxPlexjc5UGicuagUjR/AGdnEexyHQM97mVf3k98f3Ac3RxHoFKYkVK2A62ugl5Okxjs+UCT+6rqiymsOY6tuXuTMm/bcMb5zmR9+nvMi59KgMNwLNX2pJXvprKuEB/bCK7u+tKleHniIpJEQwjRao6juhOy4iEyP9tC+d4TaDNKsezuQrf3r8VxbA9y5kShdm55X/TOotsH12E3yJe8yL2U7z6BQafHKtAV99sj8Lh3YLPbA5+L92MjsO7tQc6sXWgOZqHX1mPp64Tng4Pxmj4cpYV8nAtxPro7juKhkBVsyfyME+V7KdVm4GLZnWu7vU8Px7FE5czBWt10bVRnc123D/C1G8TevEhOlO9Gb9DhahVIhPvtDPS4t9ntgc9lhPdjeFj3ZlfOLLI0B6nXa3Gy9GWw54MM95qOWik76V3uFIbTxwmFEBcsOjqa/v37E7rmUWxDvUwdziVT8MdBkp9ehtO4nvRaeP6n6QpxOk1cNnGTZnHgwAH69et37hvEJXXq8+7R0DV42YaaOpx2d7DgD5YlP01Pp3Hc1WuhqcMRl5lsTRyz4iZ16s8vWaMhhGi1ukJNs7tOVRzI4MS7DVvHut0WcYmjEkKI86epK2x216mMigOsO/EuABFut13qsIS4IshYuxCi1SoP55F4x09Y9XLHsqsTCjMV2vQSKuNzAHC9OQyXa/uYOEohhGi9vMrD/JR4B+5WvXCy7IpKYUaJNp2cyngAwlxvpo/LtSaOUojLkyQaQohWswp0xePegZTvTqN8Xzp6jRaVrQX2wwNwvy0C15v7mjpEIYRoE1erQAZ63Eta+W7Sy/eh1WuwUNkSYD+cCPfb6Ot6s6lDFOKyJYmGEKLVLLwc6PbBdaYOQwgh2o2DhRfXdfvA1GEIcUWSNRpCCCGEEEKIdieJhhBCCCGEEKLdydQpIcQVLeOzzWR+vgWfZ8fQ9bmxpg7nktNmlVGy4SiaQ9lUHsym6lgB6PT4vTYBr+nDTR2eEOI8bM74jC2ZnzPG51nGdn3O1OFcUnqDnkzNAZJKNpFatpOC6mRq9ZVYqR3xsulLf4+76O08ydRhipMk0RBCiCtY8arDpL25xtRhCCFEuyipOcG8+BsAsFI74m0bjpXagZKadJJKN5FUuolwt9u4ofvnKBQK0wYrJNEQQogrmYWvE54PDcG2rxc2YV5kfbOdwqUHTR2WEEKcF4VCQYD9cIZ7/YfujqNQKlSNZWllUfx65F5iCxbjbz+ECPdpJoxUgCQaQghxRXOe2Avnib0a/6xQyhM+IcTly9nSn/uDFzdb5u8wlBHej7Mp4xMOFiyVRKMDkERDiE6mOrmQrG+2URaVRl2+BoW5CjMna6xDPHG7yfjAPZ1GS+GfcZRsSqLqaD51uRWgVGAZ4IzLtX3o8sgwVFZmTfqI8n4DgKFZb5G/KIbcyL1UJxWgsrXA8eoe+M0cj5mLDfqaOrK+3U7hn/Fos8swc7HB7ea++Dw3FqWZyqjN5BnLKVgSS/fPb8Am2JOMz7dQsTcdXXUt1j3c8HxgMO7T2n4qeVVSAdk/7qR8Zyq1+RqUlmpsQ73wfGgwzhN6Nalfm1tO5jfbKd2STG1OOQqFArWzNVY93XC5pjcedw9ocwxCiAtTWJ3MtqxvSCuLQlOXj0phjrWZE57WIYS53WR04J5WpyGu8E+SSjaRX3WUirpcFChxtgygj8u1DOvyCGYqqyZ9vBHlDcBbQ7OIyV/E3txICqqTsFDZ0sPxasb7zcTGzIU6fQ3bs74lvvBPyrTZ2Ji50NftZsb6PIdKafx5uTx5BrEFS7ih++d42gSzJeNz0iv2Uqurxs26B4M9HzivL8sFVUnszP6R1PKdaGrzUSst8bINZbDnQ/RyntCkfnltLtszvyG5dAvltTkoFAqs1c64WfWkt8s1DPC4u80xmEoXmxAAymtzTByJAEk0hOhUKhPzSLhhHjqNFqtAV2zH9wQU1OaWU7blOPqaeqNEo/JwLikv/o2Zqw2W3V2x7etFfUkVmpgsMj7eRMn6owT/8QBKy6bJBsCJ99aRM3c39kP8cRwbSMX+DAp+j6HyYDYhKx4i8c6fqUouxH6IH5YBzpRHpZH1zXbqiqvo/vGUZtvUxGSSMvMfzD3tcRjVjbrCSsp3n+D4s39SGZ9DwDuTW/1+FK6II3nGcgy1OqyC3HG6uid1xZWU7z1B2Y4UvGeMxve/VzXWr82r4NA1s6jL12Dh44jjmECU5ipqcyvQRGeizSiVREOISyyvMpF5CTeg1WlwtQqkp+14FDR8eT5etoV6fY1RopFbeZi/U17ExswVV8vueNn2paq+hCxNDJsyPuZoyXoeCP4DM6Vls/2tO/Eeu3Pm4m8/hEDHsWRU7Cem4HeyKw/yUMgKfk68k8KqZPzsh+BsGUBaeRTbs76hqq6YKd0/brbNTE0M/6TMxN7ck24Oo6isK+RE+W7+PP4sOZXxTA54p9XvR1zhCpYnz0BnqMXdKoieTldTWVfMifK9pJTtYLT3DK7y/W9j/YraPGYdugZNXT6OFj4EOo5BpTSnojaXTE00pdqMyyrRKKpJBcDO3MPEkQiQREOITiVnThQ6jRbfl67G+8lRRmW6Si1ViflG1yx8HOmz6D7sh/mjUP67G3Z9WTVJj/9B6eZkcubtxvvxkc32V7DkIH3X/QfrHm4N95VWEzdlLlWJecRNmYva3pJ+UTNQ2zf8Qq+MzyHu2tnk/xaNz1OjsPBxbNJm3s/78XxoMP5vTEKhaoipIjqTxDt+Inf+HhzHBOJ0dc9zvheVh3NJnrEchZmKoHl34HRVj8ayqqP5JN79C1lfbsVhWAAOwwMa+v7tAHX5GjzuHkDAh9cZLTTUa+vRxGSes9/TnRr5aQv7of4E//FAm+8T4koVlTMHrU7D1b4vMcr7SaMyra6S/KpEo2uOFj7c12cR/vbDUCr+/Vyrri/jj6THSS7dzO6ceYz0frzZ/g4WLOE/fdfhZt3j5H2lzI2bQl5VInPjpmCptmdGvygs1fYA5FTGMzvuWqLzf2OUz1M4Wvg0aXN/3s8M9nyISf5vNK45yKyI5qfEO9iTO59AxzH0dLr6nO9FbuVhlifPQKUw446gefRw+vdBSX7VUX5JvJutWV8S4DCMAIeGXecO5P2Gpi6fAR53c13Ah0afa/V6LZmamHP2e7pTIz9t4W8/lAeC/2jzfWeq1VWzJ2c+AL2dW//QSVw8kmgI0YnUFWgAcBzbo0mZysYCuwFdja5ZeDlg4eXQpK7awQr/tycTO/JrilYebjHR6Pr82MYkA0DtaIXnPQNIe3MN1ccKCNv0eGOSAWAT0gXHq3pQsu4o5VFpuN0a3qRNc097/F6Z0JhkANj186HL/w0h84ut5MyJalWikfX1Ngy1OvzfnGSUZABYB7nj/8ZEjj26mNzIPY2Jxr/vX2CT3UyUFmrsh/ifs9/TNff6zsUq0LXN9whxJdPUFQDQw7Hp9tUWKhu62hmPMjpYeOFg4dWkrpXagcn+b/N17EgOF61sMdEY2/X5xiSj4T5HBnjew5q0NymoPsbjYZsakwxomMrTw/EqjpasI608inC3W5u0aW/uyQS/V4wWNvvY9WNIl/9ja+YXROXMaVWisS3ra3SGWib5v2mUZAC4Wwcx0f8NFh97lD25kY2Jxqn3L9BxbJPPNbXSAn/7Iefs93TNvb5zcbUKbPM9zVmZ+jIl2nTcrHoywOOudmlTXBhJNIToRGwjvCndlETKS//Q9YWrsB/sh9Li7B8DBoOBin3plO8+QW1OOfqaOjAABgMANSlFLd7rOLbpLw9Lf2egYbTk9CSksTzABWiYptQc52v7NBuz681hZH6xlfJ96RjqdSjUqmbuPvma9HpKtySDQoHLdcHN1rEf6g9AxYF/Rylsw33IW7iPE++tB8BhVHdU1uYt9nMugV/eeN73CiEaeNtGkFS6iX9SXuKqri/gZz8YtdLirPcYDAbSK/Zxonw35bU51OlrAAMGGj7XimpSWrw3sJmExtnSH2gYLTk9CTnFxbLhYUVFbV6zbfZxvrbZmMNcb2Zr5hekl+9DZ6hHpWj581pv0JNcugUFCoJdrmu2jr/9UAAyKw40XvOxDWdf3kLWn3gPgO4OozBXWbfYz7ncGPjled97IbZkfkFswRIsVfbc1vPHc/4MiEtDEg0hOhGv/wynYk86ZTtSSLzjJxQWamz6eGI/1A/Xm8Kw6W08p7W2QMOxh3+nYn9Gi23qKrQtlpl3sW9yTWlj3mIZgOpkuV5b32y5pa9js9ctvB1AqcBQU09dSTXmbrYtxlVfUt0Y9/6+zc+ZbqxbVNn4/2639KVsWzKFy+M4+tDvoFJiHeSO/RA/XKeEYDfQ96xtCSHa33Cv/5BesYeUsh38lHgHaoUFnjZ98LMfSpjrTXjY9Daqr6kt4PdjD5NRsb/FNrW65h90ANibd2lyzVxp02IZgLmqobxe3/znpaNl858dDhbeKFBSb6ihuq4EW/OmD2dOqa4vaYz74/19W6wHUFn/7wOivm63kFy2jbjC5fx+9CGUqHC3DsLPfgghrlPwtRt41rY6gl3Zs9ic8SnmShvu7v0z7tZBpg5JnCSJhhCdiMrKnD6L7qMiOpPSLUlU7Mug4kAGmphMsr/fic/zY+n6zJjG+inPr6BifwZ2A33xeXYMNsGeqOwtUZqp0NfWs+ccCxRPX9fRtMx026wadPqG/1Epcbvp7L+QT6dQKunx7S14PzGSkg3HGkZ69meQO38PufP34HZ7BIGf3dDq9pJnLG9j5A1Tp7yfaH6qmhCdkbnKivv6LCKzIpqk0i1kVOwjo+IAmZoYdmZ/z1if5xnT9ZnG+itSniejYj++dgMZ4/MsnjbBWKrsUSnNqNfX8s6egLP2d/q6jjMpzlJ2sekNOgCUqOjrdlOr71MqlNzS41tGej/BsZINpFfsI6N8P3ty57Mndz4RbrdzQ+BnrW5vefKMtoaOq1UgI72faPN9ALtz5rP2xNuYKS25q9fCJlPlhGlJoiFEJ2TXzwe7fg0LEvW19RQujyPlhb/I/GwLrteHYBXoiq6qlpJNSaBS0mvhnagdjLd7rEkrNkXoaDNKm7+eVQZ6AwpLNWZOTbemPJ2ZszVKSzP0NXUEvDcZlU3bhtite3lg3ath9Meg11O6MYmkJ5ZS8HsMrlNCcBzduvnGBUti29QvNEzpkkRDiKZ87PrhY9cPgHp9LXGFy/kr5QW2ZH5GiOv1uFoFUqurIqlkE0pU3NlrIVZq4zVoxTVpJogcSrXNjxqXabMwoEetsMTKzOmsbVibOWOmtKROX8PkgPewODmK0loe1r3wsG7Y0ltv0JNUupGlSU8QU/A7Ia5TCHQc3ap2YguWtKlfaJjSdT6Jxp7cSFanvYZaYckdQQvwdxja5jbExSWJhhCdnNJcjfu0CPJ/j6ZibzpViXkNiUZ5DegNqBwsmiQZAIXLDpkgWihaeRjfV8ajNDf++Cpc3hCP/QDfs67PAFCoVTiM7EbJ+qMU/XP4vM7faGxLqcRpfBBOE4IoXHaIysO5rU40hma9dd79CiFaplaaE+E+jej830mv2EteVSKuVoHU6MoxoMdC5dAkyQA4VLjMBNHC4aKVjPd9BbXSeM3XocKGUU9f+wFnXZ8BoFKo6eYwkqMl6zlc9M8FHVanVCgJchpPkNMEDhUuI7fycKsTjbeGZp13v22xL/cnVqW+glphwR295tHdcdS5bxKXnOnG+IQQl1xu5F6qkwubXK85UUzVsYadR8x9Gn75mrnZonK0QldWQ8Fy46SiZHMS2XOiLn7AzajNKSf9/Q0Y9PrGa5rYLHJmN8Tj+VDrdkjxeWY0CjMVaW+spnBFHIaTi9tPMRgMVMRkUro1ufFawZJYNHHZTdqqK66iIrph0biFt2NbX5IQ4gLszY2ksDq5yfXimhMUVB0DwMG8YQTX1swNK5UjNboyDhUYT11MKtlMVPacix9wM8prc9iQ/j56w7+fa1maWKJyZgMwxPOhVrUz2ucZVAozVqe9QVzhimY/1zIrYkgu3dp4LbZgCdmauCZtVdUVk1kRDYCjRdu3rL2Y9uf9ysrUmagVFtweNJdAxzGmDkm0QEY0hOhE8n49QOorK7Hwc8I6yB2VjTm1+Roq9qVjqNXhMjUEu4iGX8gKlRKfJ0dy4p11JD+xlNwFe7Ho6oj2RDGamCy8nxxJ1jfbL/lr8LhnALk/7aNk/VFswryoL6qifHcahno9HvcNxHlC6xYB2oZ5E/jVjRx/dgVJj/1B+vsbsOrphtrRirqiSqoScqkrrMTr8RGNIxRFqxMpmbEcc097rIM9UTtYUl9SRfmedPRVtdgN9sP5mt7n6PnSqs2raFi4flLNiYYpbznz91D0z+HG60Hzbsfcw+6SxyfEhUDc4x8AADcUSURBVDqQ9ysrU1/BycIPd+sgzFU2aGrzSa/Yh85QS4jLVHzsGkYtlQoVI32eZN2Jd1ia/AR7cxfgaNGVYu0JsjQxjPR+ku1Z31zy1zDA4x725f7E0ZL1eNmEUVVfRFr5bvSGegZ63EdQM6d5N8fbNowbA79ixfFn+SPpMTakv4+bVU+s1I5U1hWRW5VAZV0hI7webxyhSCxazfKSGdibe+JpHYyl2oGq+hLSy/dQq6/Cz24wvZ2vuZgvv01yKuP5J+VFDBhwtOxKfNFfxBf91aSetdqZif6vmyBCcTpJNIToRHxfuKphEXNMJhX7M9BptJi52mI/xB+PO/vjfK3xl2Sv6cOx6OpE9o87qT6WT/XRfKyC3An85mbcbuprkkTDNsIH97v6k/npZkq3HkdfU4d1Lw887huI+x392tSW69RQbMO8yZm/m7JtKZRHpQFg5m6LdbAnTlf3NDop3evRYVj4OFJxIIPKQ9nUl1WjdrbGJrQL7reF43pjX5RmZ5+2danpa5s/SLA2q4zarDKjekJcjq7yfYFjJRvIrIgho2I/Wp0GWzNX/O2H0N/jTno7X2tUf7jXdJwsurIz+0fyq4+RX30Ud6sgbg78hr5uN5kk0fCxjaC/+11szvyU46VbqdPX4GHdi4Ee99HP/Y42tRXqOhVv2zB258wnpWwbaeUNo722Zu54WgfT0+lqo5PSh3k9iqOFDxkVB8iuPER1fRnWame62IQS7n4bfV1vRKU0a9fXeyFq6ssbtyEurE5udjQLGrYalkTD9BSGM8fVhBAXJDo6mv79+xO65lFsQ5seCiXOT/KM5RQsiaX75zdc0JoKcXnRxGUTN2kWBw4coF+/tiWS4uI79Xn3aOgavGxDTR3OZWd58gxiC5ZwQ/fPL2hNheiYsjVxzIqb1Kk/v2SNhhBCCCGEEKLdSaIhhBBCCCGEaHeSaAghhBBCCCHanSwGF0JcFgK/vJHAL280dRhCCNFubgz8khsDvzR1GEJcNDKiIYQQQgghhGh3kmgIIYQQQggh2p1MnRJCkL8ohuPP/onbreGdenrSqffhdKGrHsE2rOmpuNXJhWR+tZWynanUl1Rh5maL01U98HlmTLsefGfQ6SlelYjmUBaa2Gwq47LRVWixCnInfNPj7dbPmWpzy8n8cislm5KoK9CgdrLGYXgAPjNGY9XdtUn9yvgcDk380eiabEUsTCkmfxF/Hn+WcLdbO/X0pFPvw+keCV2Ft21Yk7qF1clszfyK1LKdVNWXYGvmRg+nqxjj8wx25h7tHlt5bS5bM78kqWQTmroCrNVOBDgMZ7TPDFyturdbP5q6QpJLNpFUupkszUHKa3NQKlQ4WfgS6DiWYV6PYmfu3uS+nMp4fjw00eiabEXcNpJoCCHEGSz8nbEf6AuA2tm6SXlZVBpH7v4FfU0dNqFdsB/sR9XhXPJ+3k/RqkRClj/Y7Jfx86HTaDk2fXG7tNVaVUkFJNw4n/qSKqwCXbGb1JualCIKlx2ieHUivf93b+P7c4rayQq3W8MBKN+Xjjat+JLGLIQ4O2cLf3ztBwINp2afKa0sil+O3E2dvoYuNqH42Q8mt+ow+/N+JrFoFQ+GLG/XL/8FVUnMT7iRqvoSXK0C6W03iaKaFA4VLiOxeDX39v5fY7wXam3aWxwqXIYCJe7WQfRynkCtropszUF25fxITMHv3Nv7f3jZ9jW6z0rtRLjbrQCkl++jWJvWLvF0JpJoCCHEGewH+rY4sqOrqiXpsSXoa+rwf3cyXR4Y3FiW9vZacmbtIunxPwhd/SgKheKCY1GYqXC9qS+2fb2wCfNCV67lyH2/XnC7LTHo9ST9Zwn1JVV0mT4M/9f+fZqXM383aa+t5tj0xUTseAqVlXljmYW3Y+N7ljxjOQWSaAjRofjaD2xxZKdWV8WSpMeo09cw2f9dBnd5oLFsbdrb7MqZxR9Jj/No6Op2+VzTG/QsSfoPVfUlDOsynYn+rzWW7c6Zz+q011h8bDpPRezAXGV1wf1ZqR0Z6/M8/dxvx96iS+N1ra6Sv47/l/iiFSw+Np0nI7ahUvz71djRwrvxPVuePIPigrQLjqWzkTUaQgjRBvmLYqjL12A/LMAoyQDwe2U8Fv7OVMblULopqV36U1mb0+Obm+nyf0OxH+SH0tqsXdptSenGJKoS87D0d8Zv5nijsi4PDsF+qD91uRUULIq9qHEIIS6dmPxFaOryCbAfZpRkAIz3ewVnC39yKuNIKt3ULv0llW4kryoRZ0t/xvvNNCob0uVB/O2HUlGXS2zBonbpb3LAO4zp+oxRkgFgobJhavfPsFDZUqI9QWbFgXbpT/xLRjSE6ICqkwuIHf0tahcb+h94DqWZqkkdQ72OAwM/py5fQ9jGx7Du1TB/tiI6k6KVCZTvSqM2u4z6shrUztbY9e+K1/Rh2PXv2uo4zrV2o2xXKodvjcR+qD/BfzzQpFybVUb2rJ2Ubk5Gm12GUq3Cupc77nf2x+228HZ5Mnaplaw5AoDrTaFNyhQqJa5TQsj6ehvFa4/gdHXPSx3eBSte2/D6XKaGoFA1fRblelNfyqPSKF57BM/7B13q8MRlrKA6mW9jR2OjduG5/gdQKZsmzTpDPZ8fGIimLp/HwjbiYd0LgMyKaBKKVpJWvouy2mxq6suwVjvT1a4/w7ym09Wuf6vjONfajdSyXUQevhV/+6E8EPxHk/IybRY7s2eRXLqZMm02KqUad+te9He/k3C32y7Lz7UjJWsACHW9qUmZUqEixHUK27K+5kjxWno6XX3h/RWvBSDEZSpKRdPfb31dbyKtPIojxWsZ5Hn/Bfd3NuYqK1wsu5Nd2bB2Q7QvGdEQogOyCnTDNsKH+qLKFp+Ml245Tl2+Bpu+Xo1JBkDGRxvJmbMbQ50O23BvnMYHoXayonjVYeJvnE/R3wmX5DWU7Uzl4LjvyZ23B/QGHMcEYhvhTWViHsef/ZPkp5dfkjjaW2V8wy+i5haIA9iGexvVu9w0vr7wFl5f2OX9+oTpuFkF4mMbQWV9UYtPxo+XbkFTl4+XTd/GJANgY8ZH7M6Zg85Qh7dtOEFO47FSO3G4eBXz428koejvS/IaUst28v3BcezJnYcBPYGOY/C2jSCvMpE/jz/L8uSnL0kc7S2nMh6g2QXiDdfDjeq1X3/hLfQX1q79nY1OX0epNgMAW7OmC8LFhZERDSE6KPdp4WhiMilYEovzxF5NyguWxALgdlu40fUu04cR+O3NmLvZGl0vXneUY48sIuWlv3Ec18Nofn17q82r4Ogji9BV1tL9ixtxuzWs8SmfNquMIw/8RuHSgzgMD2j1rkTN7QjVGu2581F9RQ31pdUAWPg4NlvHwtsBAG16abv0eanVZJQCDWsumnPq9dUXV6Gr1KKysbhEkYkrQbj7NDI1McQWLKGX88Qm5bEFSxrqud1mdH1Yl+ncHPgttuZuRtePFq9j0bFH+DvlJXo4jmuX+fwtqajNY9HRR6jVVXJj9y8Ic7u18XOtTJvFb0ce4GDhUgIchrd6V6LmdoRqjfbc+aimvoLq+lIAHC18mq3jYNHwgKFUm94ufZbWZJzsr/kHGqf6q6ovRqurxEJl0y79Nic6/39U1Rdja+ZOV7sBF62fzkoSDSE6KJepoaS+uYaSjceoK67C7LTdj+pLqylefxSFuQrXG4yn8DiN7dFse84TgnC5rg+Fy+Mo35mG07iLN60nZ24UutJqvB4bjvsZiZCFtwPdP5lC3OTZ5C7Y0+okwDLAuXFXo7awDGi6u8r50lfWNv6/qoW1EkrrhgROV6ltt34vpVOvsaW1IEqbfxNUnaZWEg3RJqEuU1mT+ibHSjZSVVeMtdm//z6r60s5WrwelcKcUNcbjO7r4TS22faCnCfQx+U64gqXk1a+k55O4y5a7FE5c6nWlTLc6zHC3Y0TIQcLb6Z0/4TZcZPZk7ug1UmAs2VA465GbeFsGdDme1pSq69s/H8zVdNd9gDMlQ3XtbrKZsvPt08zZUv9/ZtY1Oo0Fy3RyKtMZN2JdwGY4PcKauXFewDXWUmiIUQHpba3xHliL4pWxFO4/BBdHhrSWFa4Ig6Dth7nyX0wc2r6QV1XXEnJ+mNUHc1HV16DoV4PQNWRfACqUwpx4uIlGiUnp3u5XBfcbLlNXy+UNuZUJuSir6lDaXnuBc72g/ywH+TXrnEKIS4tS7U9vZwnEl+0gkOFyxnS5aHGsrjCFdQbtPRxnoy1mVOTeyvrijlWsp78qqPU6MrRG+oByK9qWFdUWJ1Cz6a3tZukkobpXsEu1zVb7mXTF3OlDbmVCdTpazBTWp6zTT/7QfjZy1onUyjTZvPb0fup1VfSz/1OwtxuMXVIVyRJNITowNynRVC0Ip6CJbFGiUbBkoMN5WeMFgDk/byPtLfWoq+ua7FdnebiPm3XnigBIG7y7HPWrSupxqLLxd1Jqb0YPc2vqkNt33QRo76qYUTgcn3Sr7QxR1dajb6q+Z8fo1EdW3n6J9ouwn0a8UUriC1YYpRoHDw1beqM0QKAfXk/szbtLer01S22q9Vp2j/Y05RoTwAwO27yOetW15VgdsYORx3V6aMHdboqVGr7JnVq9VUA7TayYK60oVpXSt3Jdpv29+/IibnKttk6F6KiNp+Fh6dRqs0k2OV6ru/2Ybv3IRpIoiFEB+YwshvmXeypjMuhMjEPm94eVCcXoonJxMzdFsexgUb1NbFZpLy8EoVaid9rE3AaF4S5lz1KKzMUCgXpH2wg69vtYGinAPXNN2Q4ed1lSghKi7N/zCgtmn5Zb0753hPk/xbdtvgA9zv7tdtIiNrOEpWjFbrSarSZpaj7eDapo80uA8Ciq2O79HmpWfo4UllajTarFJvgll+f2sn6sk2mhGl1cxiJvXkXcirjyKtMxMOmN4XVyWRqYrA1cyfQ0XiaVJYmlpUpL6NUqJng9xpBTuOwN/fCTGmFQqFgQ/oHbM/6lvb6YDOgb/66oeF6iMsU1Mqz/+yrzlF+yonyvUTn/9a2AIF+7ne220iIpdoOK5Uj1bpSSrWZeKr7NKlTps0GwNGi9bsWno2jpQ/VlaWUarPwtGk68n2qP2u1U7tPm9LUFbLw8G0U1aTQy2kiN/f4ttmdr0T7kERDiA5MoVTidnMYWd9up2BxDDZvTCJ/SQwArjf2RaE2/nAsWnX4/9u77/i26oPf4x9JljxkyXuPDJI4Ic4kgxAaIA2EsguBhLbADdxCWqBQ6NOnXHqhu7d9Xh1AoKWM5KHwFCiE1YQZSLO3QxJnecZ7yLZsyUO2Zd0/TEwUyYmdCJyQ7/s/6fc753eOLEv6nvMb4PORevtM0pfMDthfxyAXUTNYevfvPeoq9tE8lc1Bnw9Ps9NR2kjm/RcRlROaWTw6Shr7BsAPhn3W8JB2uYrOTaN5fTHuTyuxBgka7rxKAKy5gWVnAuuENFr3VuPeVUn8ZYGTELh3ndnnJ0PPaDAyKekG1lUuJa/+VS63PkpeXe/djImJ3/RbMA1gX8MqfPiYmXo7s9OXBOyvsaN0UO2bDL134jr7GW/Q7KkM+rw9PI3GjlIuyryf5KicQbXZn8aOkr4B8IMx3D4rpF2u0qJzKW5eT6X7U1KtgUGj0t37vZNqzQ1Ne9YJVLfupdK9i7HxlwVpb1dI2zuitauB/86/ifr2AsbEfp0bx/w14P0moaVXV+Q0l3TTZCqXrsPxxh6yH5qH4/XdQPBuU30zIqUH3vruamjFua5oUG1bUnv3017kCFretPpQ0Odj546m5vktNPwrP2RBI3nhlJDNHnUq4ubn0Ly+GMeKPaTc7D93v8/bg+Pt3ukY4y8fNxSHd8riLhtL3T920vDWXrIevCRgLQ3Hit7335l6fnJ6mJx0E+sql7LH8Qbzsh9it+P13ueDdJs6MiOSPTw9oKy1q4Ei57pBtW239IZkR3vwz8NDTauDPj86di5bap4nv+FfIQsaU5IXhmz2qFOREzef4ub17HGs4LyUm/3Kenxe9jreBmBc/OUhaW9s3GXsrPsHexve4pKsBwPuKOx2rAhpe9A7xmd5/k3UtR9kVMzFLMx5RoO/vwRaR0PkNBd5TiK2aVl01bs5/KsP6KxuCVg74+i6APWvfeo365HX7aHogTfxNncMqu3oyemYosNpP1iH4809fmU1y7fSuHJf0O3Sl8zGZAun8ol11Czfgq/bG1Cn7WBd7x2YM0zywimYk6Np2VhCzfItfmWHf/MhntJGrLlpxM4NnP1r58w/sSnjUepeyftSjvVk2oubN5qocSl0lDZS9tuP/Mqql22hZVMp5lQbSQsnh/ho5WySGHkOWbZpuLvq+eDwr2jprA5YO+PougCf1r/mN+uRx+vmzaIH6PAGv7Pan/ToyYSboqlrP8gex5t+ZVtrlrOvcWXQ7WanLyHcZGNd5RNsqVmO97PB6EerazvIvoZVgzqe08GU5IVEm5MpadnIlprlfmUfHv4NjZ5S0qy5jI6dG7Dtn3bO5NFNGeTVDXwV79Fx80iJGkdjRykflf3Wr2xL9TJKWzZhM6cyOSkwhC3LX8CjmzL4pPwPA26vrauJ/953E3XtBzgnZg6Lxj53wu5vEhq6oyFyBki6aTKu7eW9i98RuHbGEckLp1D97GZa91Szc9Zj2Gdk4/P5cG0+jMFiImnRFOpfHviPTlOkhcwfXsThX35AwT2vU7N8K+akaNoO1OIpd5L+/dlUPbUhYLvwjBhynruZQ3e+QsnDq6h4fB1RY5IwJ1rpbu6g7UAdnVXNJFyTS8IVgbfpT2cmazijn7qRA995kZKHV1H3yi4iRsTTtq+W9oJ6wuKjGP3kgqCrAx8Zu2IIstL78RQ/9C9a9/QukHdkIL/ncBN7rnqmr07yt6aS8q1j7rCcRHsGo5HRTy0g//plVP1lA00fHSLq3BQ6Shpp3V2FMcLMmL/c+IWuwyJnh8lJN1Hu2s6Wmuf6HgczJXkhm6ufpbp1D4/tnEW2fQY+n4/Drs2YDBamJC0ir/7lAbdrMUVyUeYP+eDwL3m94B621iwn2pxEbdsBnJ5yZqd/nw1VTwVsFxOewc05z/HKoTtZVfIw6yoeJylqDFZzIh3dzdS1HaC5s4rchGs4N+HEA8ZPJ+EmKzeOfooXD3yHVSUPs6vuFeIjRlDbto/69gKiwuJZMPrJ4J9rn41dMRkGPqmH0WBkweinWJZ/PRuq/sKhpo9IiTqXxo4Sqlp3YzZGcOOYvwRdF+VIe8ZBdHl6u/g/qG3bjwEDkWGx/Kv4J0HrhXLsi/RS0BA5AyRck0vpI+/R09EVdO2MI8JiI5n47p2U/f5jmtcV07T6EOYEK/FXjCPrR3OpfXH7oNtOXzKbsNhIqp/bgnt3FcaIMGznZTHq8evpae8KGjQAYmaPYNInd1Pz/BaaVhfg2lmBr7sHS1I0EcPiSL1ter/T357uYmYNZ+L7S6j48xqa15fQdqAWc2I0Kd+ZRuYDF2NJsQVs09XQSmd1C2EJVuIvG1y3i/aCetx5FX7P9XR0+T137MQAp9Je1JhkJn30PSr+9G+aPi6g8d39hMVGknj9RDLvv6jvzpnIqchNuIb3Sh+hq6cj6NoZR0SGxXLnxHf5uOz3FDev41DTaqzmBMbFX8HcrB+xvfbFQbc9O30JkWGxbKl+jir3bsKMEWTZzuP6UY/T1dMeNGgAjIiZzd2TPmFLzfMUNK2mwrWTHl830ZYk4iKGMT31tn6nvz3dDY+ZxZKJ77Om4s+UNK+ntu0A0eZEpqV8h4szH8BmCbyL3trVQEtnNdawBHKCjLU4nuSoMXxv0kf8u+JPFDR9zP7Gd4kMi2Vi4vVclHl/352so/X4vNS27SfMEM6kpBsG3NaR7nc+fOxteLvfeqEe+yIKGiJnhDBbBDOLfjqguubEaM75/TVBy7IevISsBwMXvjrR+IfkRVNJXjQ1aNmsyp/3u50l2Ub2T+aR/ZMvbhGtoRI5KpHRSwc+73rzumLw+ci8bw6m6MHdsh//2uLBHt4ptQe943NG/u7qQW8nMlARYTZ+OnNg48aizYlcc87vg5ZdkvUgl2Q9GPD8icY/TE1exNTkRUHLfj4r+IBwAJslmXnZP2FedvCr4meyxMhRLBi9dMD1i5vX4cPHnMz7CD+JaWjtllSuHvm7AdevdOfR4W1hVtp3+13FPJjF418b9LFJaChoiIgco2VbGYX3vwFA5oMXE5F16quAOdcWEZ4dR8ot0055X6dje55KJ+X/9QnQ+/qJyOmlrGUbbxTeD8DFmQ8SF3HqU9UWOdcSF57NtJRbTnlfA2tvHeEmG3MyfvCltOf0VPJJ+X8Bva+fDJ6ChojIMTyljdR/NhVw6uIZEIKgMeqP153yPk7n9rqb2k9q+mER+XI0ekpprC8FYEbqYuI49aBx3ag/nvI+BuPirB9ycdYPv7T22rubTmr6YfmcgoaIyGdOlyl0z0TW3LTjdqMTkaFxukyheyZKs+YetxudnJimtxURERERkZBT0BARERERkZBT0BARERERkZBT0BA5g+QvWMamjEdp3lgy1IciX6C6V/LYlPFo38xXX7byP3zCpoxHKf/DJ0PSvsgRR1aBLmneONSH8pX0SfkfBr3K9unWZknzRh7dlMGy/IFPNy5fHgUNEREREREJOc06JSJymon/xjhs52ViskUM9aGIyFfYjNTF5CZeS1RY/BnbZkb0FO6Z/G/MxsiQ7E9CS0FDROQ0E2aPIMyukCEiXyyrOR6r+csLGV9EmxZTJEmRo0K2PwktBQ2RIeZt66T2hW00rNxHe6GDns5uLMk2rBPSSF44hbivjznhProaWnG8sZumTwrpKHLQWefGaDEROSqJpAUTSbllOgZTYE9JV14FVX/ZgGtHOd2OVoyRZsISrERPziDl5qnEXDiyr25PRxfVz26m4Z182osb8HV7CYuNJDwzlpgLR5J53xyMEeaQvjYna89Vz+DOqyDn+ZuJnz82aJ3SX7xP9dMbSbvrAoY/Mt+vzLmmkJrlW3HnVdDd3EFYXCT2WcPJuHcO1nEpfnU7ypvIO//PhGfGMmXDD6h+djP1r31KR2kjBrOJGfsfAqC90EHlE2tp3lRKV50bg8WEOS6KqNxUkq6fRMKV5/bts+6VPIoeeJOkGycz6s/fDDh2T2Uz1c9swrmmEE+FE4PJiCXVhv2CEaTeNp2osf7H2Hawjson19OysYSuhlZM1nCip2SQungmcXNHD/r1bfroEDXLt+DeVYXX7cGcaCVm9gjS7/kaUaOTAurvnPknPBVOpmy+n7b8Gqqf3Uzrvhq8zR1MfH8J1ty0QR+DnLk6vW1sq32BfQ0rcbQX0t3Tic2STJp1AlOSFzIm7usn3EdrVwO7HW9Q2PQJjo4i3J11mIwWkiJHMTFpAdNTbsFoMAVsV+HKY0PVXyh37aC124HZGIk1LIGM6MlMTbmZkTEX9tXt6ulgc/Wz5De8Q0N7MV5fN5FhscSGZzIy5kLmZN6H2Xh6XBB4Zs9VVLjzuDnnecbGzw9a5/3SX7Cx+mkuSLuL+cMfAXrHS6yp+CMXZz7AJVkP9tXNq3uFN4seYHLSjcwf9ghrKv7EwaYPcXXWMDp2LjePfR4Aj7eVtRWPk9/wNi2dNVjNCYyNm88lWT/i/cM/Z1f9P7nunD/6reMxkDavGPEr1pT/iX2NK3F11hIVFk9O/KV8Pes/iTL7L6Ba0ryR5ftuZLh9FovHvxZw3m1djWyufo6DTR/S5DlMj8+LzZJCtm0656V8m2zb9L66Fa6d5DespLRlI82dVXR0NxMVFk+W7TwuSF9Clu28k/jrnN0UNESGkKfCyb5v/Z2OIgdGqwX7jGxMtgg6q5pxflJId2PbgIKGc00hpY++hyXNTsSIBKKnZtJV58a1swL3wxU41xaT89wiDAbD59usLeLArS/h6/JizU3DPi2bnm4vndUtNK7cR1h0eF/Q8PX0sP/Wl2jZUILJHoH9/GGY7BF01bvpKGqg8vG1pC6egeU0CRpJN03GnVdB3at5QYOGz9uD443dACTfNNmvrOSRVdQ8twVDmBHrpAzsaXY6ShtpeGsvje8fIOdvC4P+TXw+Hwe/+wrONYXYZw4jckwSnZXNALTuryX/uufwuj1Ejkok+tIxgIHOmhaa1xTR09HtFzSOx/nvQg7d9Spelwdzqo3Yi0eBwYCnrInaF7djTrT6BY3GDw5waMk/8Xm6icxJxjZzGJ3VLTjXFOL8uICM++aQ/eMT/7A74vBvP6Rq6XowGrDNyMaSaqdtfy31r32K41/55Dy9kLh5wd+z1U9vpGbZVqKnZBB7yWg6q5rBaAhaV76anJ4K/r7vWzg6irAYrWTbZxBhstHcWUWh8xPauhsHFDQKnWt4r/RR7JY0EiJGkBk9FXdXHRWunVS4H6bYuZZFOc/5feYVOdfy0oFb8fq6SLPmkm2fhrenm5bOavY1riQ8LLovaPT4enhp/62UtGwgwmRnmP18Ikx23F31NHQUsbbycWakLsZsOT2CxuSkm6hw55FX92rQoNHj87Lb0Tu5xOTkmwa837auRv6250o6vC0Ms80k3Tqx74e+x+tmWf4Cqlv3EG6yMTr2EgwGE3sb3qKweQ3JkTkndS4d3S6e23sdLZ3VDLOdT3JUDmUt29he+3cq3bv4bu47mIwD+66pbt3LS/tvxdVVS2RYLMPtswgzhuP0VLLH8RaAX9BYXf47Sps3kRQ1hozoyYQZLDjai9nXuIoDje+zYMyTjE+4+qTO62yloCEyRHw9PRy842U6ihzEzR/LqD9eR1js531MvW4P7ryBrUhqnZhO7jvfxTY10+/5zloX+295kab3D9Dwdj6J1+b2lVU+sQ5fl5fRTy4g8boJftt1NbbhqXD2PXZtLaNlQwnWCWmMX3E7pijL5+fh8+HaXo7JFj7gc89fsIyWTaUDrn/EQFeeTrw2l9Kfv4dzdQFdja2Y461+5c41hXTVubFOTPf7UV7zwjZqnttCZE4yOX+7ichRn1+db3xvP4fuepWCe19n6sb7/f5WQF+omPTx3USOSPArq35mE163h+yffJ2Me+f4lXlbPbTtrxvQeXkqnRy681W8bg9Z/zGXjHsuxBBm8ivvamj7/JjqXBT+YAU+TzfDHplP+l0X9JU1byzhwK0vUfnYWuwzhvUGlhNoWn2IqqXrMUZZGPf3b2M/f3hfWeVf1lP2qw8puPd1pqy7F3NidMD2tX/fztj//na/QUS+2np8Pbx88A4cHUWMjZvPdaP+SGRYbF+5x+um0p03oH2lWyfy3dx3yLRN9Xve1VnLi/tv4UDT++Q3vE1u4rV9Zesqn8Dr62LB6CeZkHid33ZtXY04PRV9j8tcWylp2UCadQK3j1+BxRTVV+bz+Sh3bSfcZBvwuS/LX0Bpy6YB1z9ioKtS5yZey3ulP6fAuZrWrsaArkmFzjW4u+pIt04kJSr4Xd5gDjlXc07MRSzM+RvhJv//6Y/Lfk916x7SrBO4Zdz/9LXZ0e3iHwcXc6Dp/QG3c7QDTe8xOnYud+S+Rbip97O7pbOGZ/dcTXXrHvIb3mFi0vUn3I/H28r/HPhfuLpqmZZyC5cPexSz6fPP7dauBhztRX7bXJC2hBtGLSXa4n9n9mDjB7xy6E7eKf4Jo2PnYTFpPMhAKWiIDJGmDw7Surea8KxYRj+5AFOk/xUaU3Q4MV8b2c/W/oJ1VwGwpNgY9tPL2H/zCzSs9A8aXQ43ALGXBP7ANMdHYY7//Iu1q74VANuMYX4hA8BgMGCfnj2g4zwi9uJRhGfGDmqbwQiLiSR+/lga3tqL4409pN1xvl95/au7gN47H0f4vD1U/PnfAIz5641+IQMg/vJxJH9nGrXLt1K/4lPSbvffJ0D2Q/MCQgZAV/2R1zqwm5LJGo5tWtaAzqvq6d7AknBNLpn3XxRQHp4RS3hGbN/jupd24HV5sE3P9gsZADEXjCD19plUPbmeqr9uGFDQqHq6d4rRtDtm+oUMgIzvXUjjqv24d1ZQ+9IOMu8LPL6khVMUMs5iB5s+oLp1L7HhWSwY/aTfjz6AcFM0I2O+NqB9JUUF7/Jns6Rw2bCf8sL+m8lvWOkXNNxdDgBGxV4SsF2UOZ6oo36ct3bVAzDMNsMvZEDvZ162fTqDMSr2YmLDM09c8SRFhsUwNn4+exveYo/jDc5Pu8OvfFf9q0DvnY/BMBnMXD3ydwEho9Pbzs66fwDwjeG/8As2EWE2rhzxG576dC4+fIM+F4vRyrXn/KEvZADYLanMSF3Mh2W/prh5/YCCxs66/6Gls5qs6PO4asRv/e5uAVjNCVjN/p/Xo+MC3xsAOfGXcW7CVexxvEFpywbGxM0b9HmdrRQ0RIaI85NCABK/OTEgZJwMX7eX5g0luHaU01XnpsfTDb7eK+YAHcUNfvWjJ2fQfqiegnteJ+MHc7BNzQw6jgPAOiENTEbqXt5J5MgE4q88F0tS4BXrgcq4Z2A/Jk5F8k1TaHhrL/Wv7vILGt3Odho/PIjBYvK7k9OaX0NXrYvInGSixiQH3WfM+cOpXb4V144K0m4PLI+/fFzQ7aKnZOD8uIDin/yLrB/PxT5zGMbwwX/8Otf0vmeSb556gpq9WjYfBiDpxklBy5MXTqHqyfW0bCvD5+3p9+8Pve8v1/by3v3dNKXf/bl3VvTerQoSNOK/Efz1kbNDobN3XZaJid8MCBknw+vrpqR5A+WuHbi76uju8QA+PN7eCyMNHcV+9TOiJ1PffojXC+5hTsYPyLRNDTqOAyDNOgEjJnbWvUxC5EjOjb8y4Cr3YHwt456T3nagpiTfxN6Gt9hV/6pf0GjvdnKw8UNMBkvAnZwTSbPmEhcReCGkunU3nT1txFjSGWafEVCeHDWGlKhzqWnLH/R5pEdPxGYJ/AxO/GzAt6uzdkD7KWxaA8CU5EUBIeN4WrsaOdT0IXVtB+nwttDj6wagru0AAI72YsbEHW8PcjQFDZEh4ql0AhA5KvGU99Ve5ODgHS/TXlDfbx2v2+P3OPuhebTtq8X5cQHOjwswRpqxTkonZvYIkm6YRMSwo65QDY9n+M/mc/iXH1Dy8EpKHl5J+LA4bOdlET9/LPHfGHfcH6lDIWbOSCxpdlr3VtO6v7ZvELfj7b34PN3EX3Eu5rjPr1R6DjcB0H6wjk0Zjx53390NrQHPmROt/QbG9O/NxrWljOb1xey/+QUM4WFYz03FPmsYiddPChhg3p/Bvmc6a1oACM8K/q0YnhULRgO+jm66m9qCdnc6oqupHZ+nG4wGwjNjgu8vO+6zdl3By7/Au1hy+nN6ersBJYZghiBHexEvH7yD+vaCfut4vG6/x/OyH6K2bR8Fzo8pcH6M2RhJunUSI2JmMynpBuIjhvXVjY8YzvzhP+ODw79kZcnDrCx5mLjwYWTZzmNs/HzGxX+j35AyVEbGzMFuSaO6dS+1rftJsfYG+72Ot+n2eTg3/oqAgdQnEtPPXZiWzprjlgPEhmeeVNCIsaQHff7IXZVunydo+bGcnb1d4QbzfttW+3feL/05XT3t/dY59n0lx6egITJUBnGF5UQO3fUq7QX1xF2WQ/r3LyRyVCJh9ggMJiPtRQ52zXmCY+9gW5JtTHj3Tlo2luJcV4RrWznuvEpcmw9T+dhaRv7uapIXfX7lPO3280m4ajyN7x3Ata0M19YyHCt241ixm6jxqYx/fTFhA1z3oXLpOtoLHYM+z2AzMPXHYDSSdMMkKpeuo/7VPKyPXg5A/T93AYGDwH09PQBYUu0n7LIW7If+8WbcMkVaOPeV23DtrMC5pgDXtnJcO8px51VQ9dQGMn90CVk/vPjE54ThJDoiMKireQPc4UltZozQV87ZzEDo3oevHrqL+vYCcuIu48L075MYOYqIMDtGgwlHexFP7JrDsR96Nksyd054l9KWjRQ511Hu2kalO4/Drs2srXyMq0f+jqnJi/rqn592O+MTruJA43uUubZR5trKbscKdjtWkBo1nsXjXycibGDjNNZVLsXRXjjo8/zmqD8PuK7RYGRS0g2sq1xKXv2rXG7tvWCyq/6fwOAGgR9xolm1jvc3NRhO7uLTyW4XsJ9Bvt8q3btYWfwQRkMYlw37v+TEzcNuScdsjMRgMPBR2W9ZV7mUgC9TOS596osMkfD03qvC7UWD/8F9tPbCetr212JOtJLz7KKAOwsdpY39bmswGom5cGTf7FLetk5qlm2h7DcfUfzwSuKvPNcvPFiSbaTeOp3UW3v7J7fm11B43wra8muoWrqe7IcG1m/VuabwpAaDDyZoQO8YjMql63C8sYdhD19KR2kT7p0VmJOjA8amWD77e5hTogfdzkDZpmb2Ddjv6ezG8cYein/8NhV/WEPi1bknvFNhyYiho8hBR1FD3/vnuPVT7bQXOugoaySGwPDkKXdCjw9DRFjA4PZjmeMiMYSH4fN04yl3EjkycCyKp6zps3YHPkhWzh4x4b1Xqo8dgDtY9e2F1Lbtx2pOZFHOswF3Fho7Svvd1mgwMjLmwr7ZpTq9bWypWcZHZb9hZfHDnBt/pV94sFmSmZ56K9NTbwWgpjWfFYX3UdOWz/qqpczLfmhAx1zoXHNSg8EHEzSgdwzGusql7HG8waXDHqapo5QK906izclBx6acLJul9y7s0QPoj+X0lIesvZMRY8mgvr0AR3tR0O5dx9rXsAofPmam3s7s9CUB5cd7X0n/FDREhkjMxaOofXE7jhW7yfzBya9B0d3Ue4vXnGIL2n3pyDSuA2GKspBx99eoWbaVzuoWOooaiJ6c0W996/hUUu+YSfGP3qZ1X82A2xn/2uIB1z0VkeckYpuWhWt7Oc5PCvvGGCR+c6LfbE3QO2YlLC6K1r01tJc0BB3UHUpGSxjJC6dQ9/JOXFvLaNtfe8KgEXvxOdQUOaj9x44BTRRgP38YzeuLqX/tU1K+PS2gvO7V3hl+7NOzA16PYxnCTNimZdGyoYT613YFnRK37rNB9vZZw094bHL2GRVzMdtrX2S3YwVzMn9w0mtQtHf3BlqbOSVo96Uj07gOhMUUxdcy7mZrzTJaOqtp6CgiI3pyv/VTreOZmXoHbxf/iJrWfQNuJ9j6Dl+ExMhzyLJNo9y1nULnJ5S7tgO942JMhtD95Eu3TsJsjKS5s5Jy13aybP6fL/XthYN6fb4I58ReRGHzGvLqX2bqAMZptHc7AbCHB3bdau1qoMi57os4zK+806tTtchZJH5+DlHjU/GUOym493W6Wzr8yr1uD83rivvZ+nMRIxPAaKD9YB0tm0v9yupeycPx5t6g21X9dQOez6ZkPZr700o669xgNGBJtwPQvL6YptWH8HV7/er6vD04P+7tI3269r8/MrNU3St51L/+KRDYbQrAaDaRef8c8PZOO+zKC7xS19PZTeMHB2gv7H8sTDA1y7cG7SrWcbiRtkO9+7L0M+7haOl3XoDRaqHhrb1UPrEWn7fHr9xT2Yx7d1Xf4+Rvn4cpOhzX1jKqn9vsV7dlcyk1z28FIO2YGamO1z5A9bObadlW5ldW9fRG3DvKMdkjSP6WFrWSQDnx80mNGo/TU87rBffS0d3iV+7xuiluPvGPuYSIkRgwUtd+kNIW//d1Xt0r7HW8GXS7DVV/pdkTOF1spftT3J11GDBi/2x8QHHzeg41rcb72UDgI3p8XgqcHwN8obNInYojM0vl1b3Cp/Wv9z53Et2mjsdiimTKZ93MVpU8QlvX53fOPV43K4v/Dz56+tv8S3FeyrewmVMpd21nVclP6erx/45t7WrgcMvWvseJkecA8Gn9a30TCkDv+bxZ9AAd3sDvSzkx3dEQGSIGo5GcZxex/+YXaFy1n+a1xdhmZGOyhdNZ1UJrfg3Rk9JPeOXanGAl9bbp1CzbSv6Ny7GfPxxzcjRtB2ppP1BHxj1fo3Jp4Jd3xWNrOfzLD4gcnUTk6EQMljA6q5p7r/r3+Ei/50Isyb1dCNr211L6s/cw2SOw5qZhSYnG296FO6+SrloX5uRoMu6+MKCN00HCNbmUPvIeje/uBwhYO+Noaf97Fp6K3lW39171DFHjUogYHo/BbKKzpoXWvTX0tHUy9sXvBEx/ezy1L+3oG0AflZOMyWqhs86Na1sZvk4vCdfmYpty4h8t4ZmxjPnrTRxa8ipl/281Ncu3ET01AzDgKW+iNb+GzPsvInpi748lS7KNUY9fz6Hv/ZPSR96l7h87icxJpqvWRcuWw9DjI+O+OcQFmXY3mLh5Y0i/+0KqnlxP/vXPY585DHOKre+9ZogIY/Tj15/SjGTy1WU0GFmU8ywv7L+Z/Y2rKG5eS7ZtBuEmGy2dVdS05pMePemEU9xazQlMT72NrTXLWJ5/I8Pt5xNtTqa27QB17Qf4WsY9n/Wl97e24jE+OPxLkiJHkxg5mjCDhebOKspd2/HRw4Xp9/TNdlTbtp/3Sn9GhMlOmjWXaEsKXd52Kt15uLpqiTYnc2HG3V/I63SqchOu4b3SR9jf+C7AoNfOGKivZ/0nZS1bqWr9lMfyZjPcfgFGg5HSls1EmOzkxF3GwaYPMBksJ97ZFyDcFM3NY5/npQO3srV2OXsb3iLLNp0wYzjNngqqW/OZkHhtX7eqKckL2Vz9LNWte3hs5yyy7TPw+Xwcdm3GZLAwJWkRefUvD8m5nMkUNESGUER2HBPfX0L181toXLWv98ef14c5OZq4eWNIXhh8GtFjDf/FN4gal0LtC9tx76rEYDYSPSGdYS9eRuSoxKBBY8Svr6R5bRHu3VU0byylp6MLS7KNuEtzSL1tOrEXfT6GIe7SHLpbOmjZfJiO0kZcO8oxRVkIz4gh5ZZppN46HXOCNaCN00GYLYL4K8bhWNHbhSwpyN2Mow3/2eXEXz6Wmhe24dpWTtPqQxgjzFg++5vEXZaDfeaw4+7jWNk/nkvTR4dw5VXg2l6O1+3BnBiN/fzhpHzrPOKvHPi0r3FzRzPpo+9T9fRGmtcU0rS6AKPFhCXNTsqt00m4erxf/fj5Y5m46k4qn1xP88YS2lfuw2S1EHvROaQunjmgleePNuz/XIp9ejbVy7fSuqsS7/ZyzAlWEm+YRMY9F/Y7NbAIQFxENksmvs+W6ufZ17iKwy1b8OEl2pzMmLh5TEleOKD9fGP4L0iJGsf22heodO/CaDCTHj2By4a9SGLkqKBB48oRv6aoeS1V7t2UNm+kq6cDmyWZnLhLmZ56G6NiP5+SOSfuUjq6WzjcspnGjlLKXTuwmKKICc9gWsotTE+9NWANhtNFRJiNcfFXsNuxAhj82hmDaef23BX8u+Ix8hveocD5MVZzPOcmXMncrB/zWsH3APzWJ/myZURP4vuTVrOp6hkONX1IcfNaDBixWVKYkHgd01K+01c3MiyWOye+y8dlv6e4eR2HmlZjNScwLv4K5mb9iO21Lw7ZeZzJDD6fT8PnRUJo586dnHfeeUx47y6iJwSfpk9EBsa9p4o9lz/Njh07mDp1YOuHyJfnyOfdXRPeIz16wok3kLNCR3cLf86bRUd3M/8x7dPTNpR90arce3h6z+Vn9eeXxmiIiIiIyKBVuXfT4/Mfi9HW1cibRQ/Q3u1kdNzXz9qQIb3UdUpEREREBu0fBxfT4/OSHJVDVFgC7q46qlv34vG6sFvSuHLEr4f6EGWIKWiIiIiIyKDNSruLg00fUNd2iPZuJ0aDibjwbMbEzeOC9Lt0N0MUNERERERk8C5Iv5ML0u8c6sOQ05jGaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMgpaIiIiIiISMhpHQ2RL0h7gWOoD0HkjKf/ozODo71gqA9B5LSj/wsFDZGQS0xMJCIqksJ7Xx/qQxH5SoiIiiQxMXGoD0OCSExMJDIiitcL7x3qQxE5LUVGRJ3Vn18Gn8/nG+qDEPmqKSsrw+HQlViRUEhMTCQ7O3uoD0P6oc87kf6d7Z9fChoiIiIiIhJyGgwuIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIhp6AhIiIiIiIh9/8BVW3/prmo6FIAAAAASUVORK5CYII=", + "text/plain": [ + "
" ] - }, + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "best_kwargs = {name:val for name,val in zip(hpnames,xbo_best)}\n", + "best_kwargs['max_depth'] = int(best_kwargs['max_depth'])\n", + "print(best_kwargs)\n", + "dt = DecisionTreeClassifier(random_state=7,**best_kwargs).fit(xt,yt)\n", + "yhat = dt.predict(xv)\n", + "accuracy = mean(yhat==yv)\n", + "print('best decision tree accuracy: %.1f%%'%(100*accuracy))\n", + "fig = pyplot.figure(figsize=(10,15))\n", + "plot_tree(dt,feature_names=feature_names,class_names=target_names,filled=True);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Feature Importance\n", + "\n", + "With the optimal DT in hand, we may now question how important the Irises features are in determining the class/species. To answer this question, we again perform sensitivity analysis, but this time we select a uniform measure over the domain of Iris features. Our output which we wish to quantify the variance of is now a length 3 vector of class probabilities. How variable is each species classification as a function of each Iris feature?" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "scrolled": false + }, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "NDYJTJL9WnSg" - }, - "outputs": [], - "source": [ - "print('solution shape:',solution.shape,'\\n')\n", - "si_closed = solution[0]\n", - "si_total = solution[1]\n", - "print('SI Closed')\n", - "print(si_closed,'\\n')\n", - "print('SI Total')\n", - "print(si_total)" + "data": { + "text/plain": [ + "Data (Data)\n", + " solution [[[0. 0.049 0.05 ]\n", + " [0. 0. 0. ]\n", + " [1. 0.301 0.279]\n", + " ...\n", + " [0. 0.396 0.409]\n", + " [1. 0.999 0.999]\n", + " [1. 0.775 0.768]]\n", + " \n", + " [[0. 0.225 0.232]\n", + " [0. 0. 0. ]\n", + " [1. 0.605 0.592]\n", + " ...\n", + " [0. 0.699 0.721]\n", + " [1. 0.999 0.999]\n", + " [1. 0.951 0.95 ]]]\n", + " comb_bound_low [[[0. 0.048 0.05 ]\n", + " [0. 0. 0. ]\n", + " [0.999 0.301 0.278]\n", + " ...\n", + " [0. 0.395 0.408]\n", + " [0.999 0.999 0.999]\n", + " [0.999 0.775 0.767]]\n", + " \n", + " [[0. 0.224 0.231]\n", + " [0. 0. 0. ]\n", + " [0.999 0.604 0.591]\n", + " ...\n", + " [0. 0.698 0.721]\n", + " [0.999 0.999 0.999]\n", + " [0.999 0.95 0.949]]]\n", + " comb_bound_high [[[0. 0.05 0.051]\n", + " [0. 0. 0. ]\n", + " [1. 0.302 0.279]\n", + " ...\n", + " [0. 0.397 0.41 ]\n", + " [1. 1. 1. ]\n", + " [1. 0.776 0.769]]\n", + " \n", + " [[0. 0.225 0.233]\n", + " [0. 0. 0. ]\n", + " [1. 0.605 0.593]\n", + " ...\n", + " [0. 0.699 0.722]\n", + " [1. 1. 1. ]\n", + " [1. 0.952 0.951]]]\n", + " comb_bound_diff [[[0. 0.001 0.001]\n", + " [0. 0. 0. ]\n", + " [0.001 0.001 0.001]\n", + " ...\n", + " [0. 0.002 0.002]\n", + " [0.001 0.001 0.001]\n", + " [0.001 0.001 0.002]]\n", + " \n", + " [[0. 0.002 0.002]\n", + " [0. 0. 0. ]\n", + " [0.001 0.001 0.002]\n", + " ...\n", + " [0. 0.001 0.001]\n", + " [0.001 0.001 0.001]\n", + " [0.001 0.002 0.002]]]\n", + " comb_flags [[[ True True True]\n", + " [ True True True]\n", + " [ True True True]\n", + " ...\n", + " [ True True True]\n", + " [ True True True]\n", + " [ True True True]]\n", + " \n", + " [[ True True True]\n", + " [ True True True]\n", + " [ True True True]\n", + " ...\n", + " [ True True True]\n", + " [ True True True]\n", + " [ True True True]]]\n", + " n_total 2^(18)\n", + " n [[[[ 1024 65536 65536]\n", + " [ 1024 1024 1024]\n", + " [ 8192 131072 131072]\n", + " ...\n", + " [ 1024 131072 131072]\n", + " [ 8192 65536 32768]\n", + " [ 8192 262144 131072]]\n", + " \n", + " [[ 1024 65536 65536]\n", + " [ 1024 1024 1024]\n", + " [ 8192 131072 131072]\n", + " ...\n", + " [ 1024 131072 131072]\n", + " [ 8192 65536 32768]\n", + " [ 8192 262144 131072]]\n", + " \n", + " [[ 1024 65536 65536]\n", + " [ 1024 1024 1024]\n", + " [ 8192 131072 131072]\n", + " ...\n", + " [ 1024 131072 131072]\n", + " [ 8192 65536 32768]\n", + " [ 8192 262144 131072]]]\n", + " \n", + " \n", + " [[[ 1024 32768 32768]\n", + " [ 1024 1024 1024]\n", + " [ 8192 131072 65536]\n", + " ...\n", + " [ 1024 131072 131072]\n", + " [ 8192 65536 32768]\n", + " [ 8192 131072 131072]]\n", + " \n", + " [[ 1024 32768 32768]\n", + " [ 1024 1024 1024]\n", + " [ 8192 131072 65536]\n", + " ...\n", + " [ 1024 131072 131072]\n", + " [ 8192 65536 32768]\n", + " [ 8192 131072 131072]]\n", + " \n", + " [[ 1024 32768 32768]\n", + " [ 1024 1024 1024]\n", + " [ 8192 131072 65536]\n", + " ...\n", + " [ 1024 131072 131072]\n", + " [ 8192 65536 32768]\n", + " [ 8192 131072 131072]]]]\n", + " time_integrate 8.221\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.001\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "SensitivityIndices (AbstractIntegrand)\n", + " indices [[ True False False False]\n", + " [False True False False]\n", + " [False False True False]\n", + " ...\n", + " [ True True False True]\n", + " [ True False True True]\n", + " [False True True True]]\n", + "Uniform (AbstractTrueMeasure)\n", + " lower_bound [4.3 2. 1. 0.1]\n", + " upper_bound [7.9 4.4 6.9 2.5]\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 2^(2)\n", + " replications 1\n", + " randomize LMS_DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order NATURAL\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 7" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "p5IRANkHWnSg" - }, - "outputs": [], - "source": [] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.11" - }, - "colab": { - "provenance": [] + ], + "source": [ + "xfeatures = df.to_numpy()\n", + "xfeatures_low = xfeatures[:,:-1].min(0)\n", + "xfeatures_high = xfeatures[:,:-1].max(0)\n", + "d_features = len(xfeatures_low)\n", + "def dt_pp(t): return dt.predict_proba(t).T\n", + "cf = CustomFun(\n", + " true_measure = Uniform(DigitalNetB2(d_features,seed=7),\n", + " lower_bound = xfeatures_low,\n", + " upper_bound = xfeatures_high),\n", + " g = dt_pp,\n", + " dimension_indv = 3,\n", + " parallel = False)\n", + "si_cf = SobolIndices(cf,indices=\"all\")\n", + "solution,data = CubQMCNetG(si_cf,abs_tol=1e-3,n_init=2**10).integrate()\n", + "data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "While the solution looks unwieldy, it has quite a natural interpretation. The first axis determines whether we are looking at a closed (index 0) or total (index 1) sensitivity index as before. The second axis indexes the subset of features we are testing. The third and final axis is length 3 for the 3 class probabilities we are interested in. For example, `solution[0,2,2]` looks at the closed sensitivity index of our index 2 feature (petal length) for our index 2 probability (virginica) AKA how important is petal length alone to determining if an Iris is virginica.\n", + "\n", + "The results indicate that setosa Irises can be completely determined based on petal length while the versicolor and virginica Irises can be completely determined by looking at both petal length and petal width. Interestingly sepal length and sepal width do not contribute significantly to determining species. \n", + "\n", + "These insights are not surprising or especially insightful for a decision tree where the tree structure indicates importance and the scores may even be computed directly. However, for more complicated models and datasets, this analysis pipeline may provide advanced insight into both hyperparameter tuning and feature importance. " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "solution shape: (2, 14, 3) \n", + "\n", + "SI Closed\n", + "[[0. 0.04908409 0.05049225]\n", + " [0. 0. 0. ]\n", + " [0.99967739 0.30125221 0.27859386]\n", + " [0. 0.32358608 0.33400856]\n", + " [0. 0.04908409 0.05049225]\n", + " [0.99967739 0.45170218 0.43419784]\n", + " [0. 0.3959954 0.40918357]\n", + " [0.99967739 0.30125221 0.27859386]\n", + " [0. 0.32358608 0.33400856]\n", + " [0.99967739 0.77513307 0.7682392 ]\n", + " [0.99967739 0.45170218 0.43419784]\n", + " [0. 0.3959954 0.40918357]\n", + " [0.99967739 0.9993052 0.99928672]\n", + " [0.99967739 0.77513307 0.7682392 ]] \n", + "\n", + "SI Total\n", + "[[0. 0.22459549 0.23200145]\n", + " [0. 0. 0. ]\n", + " [0.99957471 0.60450383 0.59188948]\n", + " [0. 0.54868564 0.56664366]\n", + " [0. 0.22459549 0.23200145]\n", + " [0.99957471 0.67654515 0.6661002 ]\n", + " [0. 0.69852711 0.72138276]\n", + " [0.99957471 0.60450383 0.59188948]\n", + " [0. 0.54868564 0.56664366]\n", + " [0.99957471 0.95117562 0.9496174 ]\n", + " [0.99957471 0.67654515 0.6661002 ]\n", + " [0. 0.69852711 0.72138276]\n", + " [0.99957471 0.99944024 0.99945703]\n", + " [0.99957471 0.95117562 0.9496174 ]]\n" + ] } + ], + "source": [ + "print('solution shape:',solution.shape,'\\n')\n", + "si_closed = solution[0]\n", + "si_total = solution[1]\n", + "print('SI Closed')\n", + "print(si_closed,'\\n')\n", + "print('SI Total')\n", + "print(si_total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "qmcpy", + "language": "python", + "name": "qmcpy" }, - "nbformat": 4, - "nbformat_minor": 0 + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.12" + } + }, + "nbformat": 4, + "nbformat_minor": 4 } diff --git a/demos/lebesgue_integration.ipynb b/demos/lebesgue_integration.ipynb index 704a4c68a..e44d94796 100644 --- a/demos/lebesgue_integration.ipynb +++ b/demos/lebesgue_integration.ipynb @@ -21,7 +21,7 @@ "metadata": {}, "outputs": [], "source": [ - "# @title Execute this cell to install dependancies\n", + "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " import os\n", diff --git a/demos/qei-demo-for-blog.ipynb b/demos/qei-demo-for-blog.ipynb index b9092f44b..a7dc6ad62 100644 --- a/demos/qei-demo-for-blog.ipynb +++ b/demos/qei-demo-for-blog.ipynb @@ -7,29 +7,6 @@ "# QEI (Q-Noisy Expected Improvement) Demo for Blog" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/qei-demo-for-blog.ipynb)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# @title Execute this cell to install dependancies\n", - "try:\n", - " import google.colab\n", - " import os\n", - " !pip install -q qmcpy >> /dev/null\n", - "except:\n", - " pass" - ] - }, { "cell_type": "code", "execution_count": 1, @@ -63,14 +40,12 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", 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"text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -260,33 +233,39 @@ "name": "stdout", "output_type": "stream", "text": [ - "Solution: 0.0244 \n", - "CustomFun (Integrand Object)\n", - "Sobol (DiscreteDistribution Object)\n", - " d 5\n", - " randomize 1\n", - " graycode 0\n", - " seed [68566 92413 32829 13022 69017]\n", - " mimics StdUniform\n", - " dim0 0\n", - "Gaussian (TrueMeasure Object)\n", - " mean [ 0.807 0.371 1.204 -0.455 0.67 ]\n", - " covariance [[ 1.845e-02 -2.039e-03 1.150e-04 1.219e-04 -5.985e-03]\n", - " [-2.039e-03 1.355e-02 6.999e-04 -1.967e-03 2.302e-02]\n", - " [ 1.150e-04 6.999e-04 8.871e-02 2.043e-02 5.757e-03]\n", - " [ 1.219e-04 -1.967e-03 2.043e-02 2.995e-01 -9.482e-03]\n", - " [-5.985e-03 2.302e-02 5.757e-03 -9.482e-03 6.296e-02]]\n", - " decomp_type pca\n", - "CubQMCSobolG (StoppingCriterion Object)\n", + "Data (Data)\n", + " solution 0.024\n", + " comb_bound_low 0.024\n", + " comb_bound_high 0.024\n", + " comb_bound_diff 8.33e-07\n", + " comb_flags 1\n", + " n_total 2^(22)\n", + " n 2^(22)\n", + " time_integrate 4.020\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", " abs_tol 5.00e-07\n", " rel_tol 0\n", " n_init 2^(10)\n", - " n_max 2^(35)\n", - "LDTransformData (AccumulateData Object)\n", - " n_total 2^(22)\n", - " solution 0.024\n", - " error_bound 4.15e-07\n", - " time_integrate 4.426\n" + " n_limit 2^(35)\n", + "CustomFun (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean [ 0.807 0.371 1.204 -0.455 0.67 ]\n", + " covariance [[ 1.845e-02 -2.039e-03 1.150e-04 1.219e-04 -5.985e-03]\n", + " [-2.039e-03 1.355e-02 6.999e-04 -1.967e-03 2.302e-02]\n", + " [ 1.150e-04 6.999e-04 8.871e-02 2.043e-02 5.757e-03]\n", + " [ 1.219e-04 -1.967e-03 2.043e-02 2.995e-01 -9.482e-03]\n", + " [-5.985e-03 2.302e-02 5.757e-03 -9.482e-03 6.296e-02]]\n", + " decomp_type PCA\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 5\n", + " replications 1\n", + " randomize LMS_DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order NATURAL\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 1084764658139426821181530528540663833\n" ] } ], @@ -329,14 +308,12 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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"text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -503,7 +478,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "qmcpy", "language": "python", "name": "python3" }, @@ -517,7 +492,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.9.13" } }, "nbformat": 4, diff --git a/demos/qmcpy_intro.ipynb b/demos/qmcpy_intro.ipynb index d8c0a2b99..f0cb9f996 100644 --- a/demos/qmcpy_intro.ipynb +++ b/demos/qmcpy_intro.ipynb @@ -21,7 +21,7 @@ "metadata": {}, "outputs": [], "source": [ - "# @title Execute this cell to install dependancies\n", + "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " import os\n", diff --git a/demos/quickstart.ipynb b/demos/quickstart.ipynb index 4c250dfd7..5476c03a6 100644 --- a/demos/quickstart.ipynb +++ b/demos/quickstart.ipynb @@ -25,7 +25,7 @@ "metadata": {}, "outputs": [], "source": [ - "# @title Execute this cell to install dependancies\n", + "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " import os\n", diff --git a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb index 2a9de94a2..1adacf7b9 100644 --- a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb +++ b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb @@ -13,23 +13,22 @@ "id": "a32d4c28", "metadata": {}, "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/joss/demos/talk_paper_demos/JOSS2026/joss2026.ipynb)" + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/JOSS2026/joss2026.ipynb)" ] }, { "cell_type": "code", "execution_count": null, - "id": "qmcpy-colab-install", - "metadata": { - "id": "qmcpy-colab-install" - }, + "metadata": {}, "outputs": [], "source": [ - "# @title Execute this cell to install dependancies\n", + "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " import os\n", " !pip install -q qmcpy >> /dev/null\n", + " !apt-get update -qq >> /dev/null\n", + " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng >> /dev/null\n", "except:\n", " pass" ] diff --git a/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb b/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb index b86fc31b3..b2825ba65 100644 --- a/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb +++ b/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb @@ -27,13 +27,10 @@ { "cell_type": "code", "execution_count": null, - "id": "qmcpy-colab-install", - "metadata": { - "id": "qmcpy-colab-install" - }, + "metadata": {}, "outputs": [], "source": [ - "# @title Execute this cell to install dependancies\n", + "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " import os\n", diff --git a/demos/vectorized_qmc.ipynb b/demos/vectorized_qmc.ipynb index c0cb716ef..9055a56f4 100644 --- a/demos/vectorized_qmc.ipynb +++ b/demos/vectorized_qmc.ipynb @@ -30,7 +30,7 @@ "outputs": [], "source": [ "%%capture\n", - "# @title Execute this cell to install dependancies\n", + "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " import os\n", diff --git a/demos/vectorized_qmc_bayes.ipynb b/demos/vectorized_qmc_bayes.ipynb index dc9b0f28c..67d6021d1 100644 --- a/demos/vectorized_qmc_bayes.ipynb +++ b/demos/vectorized_qmc_bayes.ipynb @@ -32,7 +32,7 @@ "outputs": [], "source": [ "%%capture\n", - "# @title Execute this cell to install dependancies\n", + "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " import os\n", From 1c841209ef886de4feb6b1ebfa97eb32442db460 Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Fri, 22 May 2026 18:30:53 -0500 Subject: [PATCH 05/20] Fix spelling in Colab notebooks --- demos/GBM/gbm_demo.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/demos/GBM/gbm_demo.ipynb b/demos/GBM/gbm_demo.ipynb index 1004c5bb1..3ea31a4fd 100644 --- a/demos/GBM/gbm_demo.ipynb +++ b/demos/GBM/gbm_demo.ipynb @@ -424,7 +424,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Now, using `plot_gbm_paths`, we generate 32 GBM paths to model stock price, $S(t)$, with initial value $S_0$ = 50, drift coeffient, $\\mu = 0.1$, diffusion coefficient $\\sigma = 0.2$ using IID points." + "Now, using `plot_gbm_paths`, we generate 32 GBM paths to model stock price, $S(t)$, with initial value $S_0$ = 50, drift coefficient, $\\mu = 0.1$, diffusion coefficient $\\sigma = 0.2$ using IID points." ] }, { @@ -451,7 +451,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## GBM Using Low-Discrepancy Lattice Sequence Distrubtion " + "## GBM Using Low-Discrepancy Lattice Sequence Distribution " ] }, { @@ -1218,7 +1218,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "To compare how mean absolute error (MAE) differs between QMCPy and QuantLib samplers, we compute MAEs averaged across several independant replications. In QMCPy, samplers have a `replications` parameter, which specifies the number of independent randomizations of the underlying point set. This allows us to generate multiple independent sets of paths in a single call.\n", + "To compare how mean absolute error (MAE) differs between QMCPy and QuantLib samplers, we compute MAEs averaged across several independent replications. In QMCPy, samplers have a `replications` parameter, which specifies the number of independent randomizations of the underlying point set. This allows us to generate multiple independent sets of paths in a single call.\n", "QuantLib does not have a built-in `replications` parameter so we run path generation function multiple times with different seeds. \n", "\n", "For each replication, we compute the absolute error between the theoretical mean and the empirical mean of the simulated paths at the final time (maturity), and then average these errors to obtain the MAE values shown in the *Mean Absolute Error Comparison* subplot below.\n", From 1f3c638351ce2291c85c1a57de6bb0613aa17be2 Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Mon, 25 May 2026 13:27:46 -0500 Subject: [PATCH 06/20] Remove unused os import from Colab cells --- demos/DAKOTA_Genz/dakota_genz.ipynb | 1 - demos/GBM/gbm_demo.ipynb | 1 - demos/acceptance_rejection.ipynb | 1 - demos/asian-option-mlqmc.ipynb | 1 - demos/control_variates.ipynb | 1 - demos/elliptic-pde.ipynb | 1 - demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb | 1 - demos/iris.ipynb | 1 - demos/lebesgue_integration.ipynb | 1 - demos/qmcpy_intro.ipynb | 1 - demos/quickstart.ipynb | 1 - demos/talk_paper_demos/JOSS2026/joss2026.ipynb | 1 - demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb | 1 - demos/vectorized_qmc.ipynb | 1 - demos/vectorized_qmc_bayes.ipynb | 1 - 15 files changed, 15 deletions(-) diff --git a/demos/DAKOTA_Genz/dakota_genz.ipynb b/demos/DAKOTA_Genz/dakota_genz.ipynb index 9cf897a1c..cd9227c94 100644 --- a/demos/DAKOTA_Genz/dakota_genz.ipynb +++ b/demos/DAKOTA_Genz/dakota_genz.ipynb @@ -31,7 +31,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", " !apt-get update -qq >> /dev/null\n", " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng >> /dev/null\n", diff --git a/demos/GBM/gbm_demo.ipynb b/demos/GBM/gbm_demo.ipynb index 3ea31a4fd..5e0653939 100644 --- a/demos/GBM/gbm_demo.ipynb +++ b/demos/GBM/gbm_demo.ipynb @@ -23,7 +23,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/acceptance_rejection.ipynb b/demos/acceptance_rejection.ipynb index bce0006a4..802e43204 100644 --- a/demos/acceptance_rejection.ipynb +++ b/demos/acceptance_rejection.ipynb @@ -25,7 +25,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/asian-option-mlqmc.ipynb b/demos/asian-option-mlqmc.ipynb index daf23be01..580475526 100644 --- a/demos/asian-option-mlqmc.ipynb +++ b/demos/asian-option-mlqmc.ipynb @@ -43,7 +43,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/control_variates.ipynb b/demos/control_variates.ipynb index 259604ebb..b9e750aed 100644 --- a/demos/control_variates.ipynb +++ b/demos/control_variates.ipynb @@ -27,7 +27,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/elliptic-pde.ipynb b/demos/elliptic-pde.ipynb index efe4e3807..44fd1021f 100644 --- a/demos/elliptic-pde.ipynb +++ b/demos/elliptic-pde.ipynb @@ -18,7 +18,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", " !apt-get update -qq >> /dev/null\n", " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng >> /dev/null\n", diff --git a/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb b/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb index 91a0e6efa..85b0462dd 100644 --- a/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb +++ b/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb @@ -25,7 +25,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/iris.ipynb b/demos/iris.ipynb index 4011459c7..afcee6225 100644 --- a/demos/iris.ipynb +++ b/demos/iris.ipynb @@ -20,7 +20,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/lebesgue_integration.ipynb b/demos/lebesgue_integration.ipynb index e44d94796..11f037953 100644 --- a/demos/lebesgue_integration.ipynb +++ b/demos/lebesgue_integration.ipynb @@ -24,7 +24,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/qmcpy_intro.ipynb b/demos/qmcpy_intro.ipynb index f0cb9f996..a53550e0c 100644 --- a/demos/qmcpy_intro.ipynb +++ b/demos/qmcpy_intro.ipynb @@ -24,7 +24,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/quickstart.ipynb b/demos/quickstart.ipynb index 5476c03a6..3d1ba4e6b 100644 --- a/demos/quickstart.ipynb +++ b/demos/quickstart.ipynb @@ -28,7 +28,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb index 1adacf7b9..209b33955 100644 --- a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb +++ b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb @@ -25,7 +25,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", " !apt-get update -qq >> /dev/null\n", " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng >> /dev/null\n", diff --git a/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb b/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb index b2825ba65..b457b727d 100644 --- a/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb +++ b/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb @@ -33,7 +33,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", "except:\n", " pass" diff --git a/demos/vectorized_qmc.ipynb b/demos/vectorized_qmc.ipynb index 9055a56f4..46c705b81 100644 --- a/demos/vectorized_qmc.ipynb +++ b/demos/vectorized_qmc.ipynb @@ -33,7 +33,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", " !apt-get update && apt-get install -y --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", "except:\n", diff --git a/demos/vectorized_qmc_bayes.ipynb b/demos/vectorized_qmc_bayes.ipynb index 67d6021d1..3dcfcaa07 100644 --- a/demos/vectorized_qmc_bayes.ipynb +++ b/demos/vectorized_qmc_bayes.ipynb @@ -35,7 +35,6 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " import os\n", " !pip install -q qmcpy >> /dev/null\n", " !apt-get update && apt-get install -y --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", "except:\n", From 806e40004e910ac5e9256f42d920b26423ef6732 Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Mon, 25 May 2026 13:35:36 -0500 Subject: [PATCH 07/20] Use capture for Colab install output --- demos/DAKOTA_Genz/dakota_genz.ipynb | 7 ++++--- demos/GBM/gbm_demo.ipynb | 3 ++- demos/acceptance_rejection.ipynb | 3 ++- demos/asian-option-mlqmc.ipynb | 3 ++- demos/control_variates.ipynb | 3 ++- demos/elliptic-pde.ipynb | 7 ++++--- demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb | 3 ++- demos/iris.ipynb | 3 ++- demos/lebesgue_integration.ipynb | 3 ++- demos/qmcpy_intro.ipynb | 3 ++- demos/quickstart.ipynb | 3 ++- demos/talk_paper_demos/JOSS2026/joss2026.ipynb | 7 ++++--- demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb | 3 ++- demos/vectorized_qmc.ipynb | 2 +- demos/vectorized_qmc_bayes.ipynb | 2 +- 15 files changed, 34 insertions(+), 21 deletions(-) diff --git a/demos/DAKOTA_Genz/dakota_genz.ipynb b/demos/DAKOTA_Genz/dakota_genz.ipynb index cd9227c94..81d8877ba 100644 --- a/demos/DAKOTA_Genz/dakota_genz.ipynb +++ b/demos/DAKOTA_Genz/dakota_genz.ipynb @@ -28,12 +28,13 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", - " !apt-get update -qq >> /dev/null\n", - " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng >> /dev/null\n", + " !pip install -q qmcpy\n", + " !apt-get update -qq\n", + " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", "except:\n", " pass" ] diff --git a/demos/GBM/gbm_demo.ipynb b/demos/GBM/gbm_demo.ipynb index 5e0653939..85acf5f6b 100644 --- a/demos/GBM/gbm_demo.ipynb +++ b/demos/GBM/gbm_demo.ipynb @@ -20,10 +20,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/acceptance_rejection.ipynb b/demos/acceptance_rejection.ipynb index 802e43204..b9952d4ee 100644 --- a/demos/acceptance_rejection.ipynb +++ b/demos/acceptance_rejection.ipynb @@ -22,10 +22,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/asian-option-mlqmc.ipynb b/demos/asian-option-mlqmc.ipynb index 580475526..383ca7c7b 100644 --- a/demos/asian-option-mlqmc.ipynb +++ b/demos/asian-option-mlqmc.ipynb @@ -40,10 +40,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/control_variates.ipynb b/demos/control_variates.ipynb index b9e750aed..d35bed466 100644 --- a/demos/control_variates.ipynb +++ b/demos/control_variates.ipynb @@ -24,10 +24,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/elliptic-pde.ipynb b/demos/elliptic-pde.ipynb index 44fd1021f..a3b0f84cc 100644 --- a/demos/elliptic-pde.ipynb +++ b/demos/elliptic-pde.ipynb @@ -15,12 +15,13 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", - " !apt-get update -qq >> /dev/null\n", - " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng >> /dev/null\n", + " !pip install -q qmcpy\n", + " !apt-get update -qq\n", + " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", "except:\n", " pass" ] diff --git a/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb b/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb index 85b0462dd..687ba2ab1 100644 --- a/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb +++ b/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb @@ -22,10 +22,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/iris.ipynb b/demos/iris.ipynb index afcee6225..0f1b141e2 100644 --- a/demos/iris.ipynb +++ b/demos/iris.ipynb @@ -17,10 +17,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/lebesgue_integration.ipynb b/demos/lebesgue_integration.ipynb index 11f037953..0c5ae7b3c 100644 --- a/demos/lebesgue_integration.ipynb +++ b/demos/lebesgue_integration.ipynb @@ -21,10 +21,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/qmcpy_intro.ipynb b/demos/qmcpy_intro.ipynb index a53550e0c..21972bba9 100644 --- a/demos/qmcpy_intro.ipynb +++ b/demos/qmcpy_intro.ipynb @@ -21,10 +21,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/quickstart.ipynb b/demos/quickstart.ipynb index 3d1ba4e6b..2e85de717 100644 --- a/demos/quickstart.ipynb +++ b/demos/quickstart.ipynb @@ -25,10 +25,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb index 209b33955..423a3a7c5 100644 --- a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb +++ b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb @@ -22,12 +22,13 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", - " !apt-get update -qq >> /dev/null\n", - " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng >> /dev/null\n", + " !pip install -q qmcpy\n", + " !apt-get update -qq\n", + " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", "except:\n", " pass" ] diff --git a/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb b/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb index b457b727d..0f689a62f 100644 --- a/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb +++ b/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb @@ -30,10 +30,11 @@ "metadata": {}, "outputs": [], "source": [ + "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", "except:\n", " pass" ] diff --git a/demos/vectorized_qmc.ipynb b/demos/vectorized_qmc.ipynb index 46c705b81..ffff9b530 100644 --- a/demos/vectorized_qmc.ipynb +++ b/demos/vectorized_qmc.ipynb @@ -33,7 +33,7 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", " !apt-get update && apt-get install -y --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", "except:\n", " pass\n", diff --git a/demos/vectorized_qmc_bayes.ipynb b/demos/vectorized_qmc_bayes.ipynb index 3dcfcaa07..b29e711ec 100644 --- a/demos/vectorized_qmc_bayes.ipynb +++ b/demos/vectorized_qmc_bayes.ipynb @@ -35,7 +35,7 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy >> /dev/null\n", + " !pip install -q qmcpy\n", " !apt-get update && apt-get install -y --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", "except:\n", " pass\n", From c0444a210ac616af6a74fb1e492dd61e07066cea Mon Sep 17 00:00:00 2001 From: sou-cheng-choi Date: Mon, 25 May 2026 14:01:10 -0500 Subject: [PATCH 08/20] Automating Colab/notebook consistency --- .github/workflows/alltests.yml | 8 + .gitignore | 1 + docs/tests.md | 26 +- makefile | 37 +- scripts/check_colab_notebooks.py | 490 ++++++++++++++++++++++++ scripts/colab_notebooks_manifest.json | 51 +++ scripts/harden_colab_notebook.py | 514 ++++++++++++++++++++++++++ scripts/smoke_test_colab_notebooks.py | 362 ++++++++++++++++++ 8 files changed, 1478 insertions(+), 11 deletions(-) create mode 100644 scripts/check_colab_notebooks.py create mode 100644 scripts/colab_notebooks_manifest.json create mode 100644 scripts/harden_colab_notebook.py create mode 100644 scripts/smoke_test_colab_notebooks.py diff --git a/.github/workflows/alltests.yml b/.github/workflows/alltests.yml index cb91d09fa..25f6a60a4 100644 --- a/.github/workflows/alltests.yml +++ b/.github/workflows/alltests.yml @@ -196,6 +196,14 @@ jobs: run: | pip install --find-links ./.wheels -e '.[test,test_torch,test_gpytorch,test_botorch]' # ----------------------------------------------------------- + # Colab readiness smoke tests (Linux only) + # ----------------------------------------------------------- + - name: Run Colab readiness smoke tests (Linux) + if: runner.os == 'Linux' + shell: bash -l {0} + run: | + make check_colab_notebooks + # ----------------------------------------------------------- # Install minimal LaTeX required by Jupyter notebooks (OS-specific) # ----------------------------------------------------------- - name: Install minimal LaTeX (Linux) diff --git a/.gitignore b/.gitignore index befb4d1b2..95c54885a 100644 --- a/.gitignore +++ b/.gitignore @@ -34,6 +34,7 @@ demos/prob_failure_gp_ci_plots/ demos/fgpr_figs/ demos/GBM/images/*.png demos/GBM/outputs/*.* +*.tmp_colab* # tests .coverage diff --git a/docs/tests.md b/docs/tests.md index 99a304259..cfb1c011a 100644 --- a/docs/tests.md +++ b/docs/tests.md @@ -14,6 +14,9 @@ This document describes the available test targets in the Makefile for QMCSoftwa | `make doctests` | All doctests with Docker | Slow | Full docstring validation | | `make booktests_no_docker` | Jupyter notebook tests | Slow | Validate demo notebooks | | `make booktests_parallel_no_docker` | Notebook tests with Parsl parallelization | Variable | Distributed notebook execution | +| `make check_colab_notebooks` | Audit enabled notebooks for Colab-readiness | Fast | Catch missing pip installs, repo-local imports, and source-install drift | +| `make check_colab_notebooks_smoke` | Execute Colab notebook setup smoke tests | Fast | Run bootstrap plus early import/setup cells for enabled notebooks | +| `make harden_colab_notebook [NOTEBOOK=...]` | Insert Colab bootstrap and classify notebook(s) | Fast | Harden one notebook, or classify any untracked demo notebooks into enabled or disabled | | `make coverage` | Display coverage report | Instant | View test coverage summary | | `make delcoverage` | Reset coverage tracking | Instant | Start fresh coverage analysis | @@ -154,6 +157,27 @@ Auto-generates missing test stub files for notebooks. - **Output**: Reports any generated files - **Note**: Called automatically by `booktests_no_docker`; rarely used standalone +#### `make check_colab_notebooks` +Alias for `make check_colab_notebooks`. +- **Behavior**: Runs the same strict checks +- **Use when**: You want an explicit strict command name for readability/scripts + +#### `make check_colab_notebooks_smoke` +Runs a lightweight execution smoke test for each Colab-enabled notebook. +- **Execution scope**: Simulates a Colab runtime, rewrites shell install commands to no-ops, then executes the bootstrap cell plus up to `$(SMOKE_CODE_CELLS)` smoke-safe import/setup code cells +- **Purpose**: Catch runtime regressions in early import/setup logic that static checks miss +- **CI usage**: Invoked in Linux CI after test dependencies are installed +- **Default depth**: `SMOKE_CODE_CELLS=2` + +#### `make harden_colab_notebook [NOTEBOOK=...]` +Hardens one notebook, or if `NOTEBOOK` is omitted, scans `demos/` for notebooks that are not yet listed in either `enabled` or `disabled`. +- **What it does**: Inserts the badge, adds a generated Colab bootstrap cell, infers common extra pip dependencies, and adds repo-local `sys.path` setup when needed +- **Classification rule**: Existing `disabled` entries are left untouched; unclassified notebooks are added to `enabled` if hardening validates, otherwise they are added to `disabled` with an automatic failure reason +- **Force mode**: `make harden_colab_notebook FORCE=1` regenerates the Open in Colab badge and the `# @title Execute this cell to install dependencies` cell for every notebook already listed in `enabled`; `make harden_colab_notebook NOTEBOOK=... FORCE=1` does the same for one notebook +- **Cell order**: The generated `import google.colab` bootstrap cell is always inserted after the Open in Colab badge +- **Validation**: Runs the existing Colab checks after rewriting; if validation fails, the notebook is restored before being marked disabled +- **Examples**: `make harden_colab_notebook NOTEBOOK=demos/plot_proj_function.ipynb`, `make harden_colab_notebook`, and `make harden_colab_notebook FORCE=1` + #### `make coverage` Displays the current coverage report (must run other targets first to accumulate coverage data). - **Output**: Terminal summary of coverage percentages per file/module @@ -397,4 +421,4 @@ A second workflow, `.github/workflows/unittests.yml`, runs a matrix across Pytho - `.github/workflows/alltests.yml` – CI all test workflow - `.github/workflows/unittests.yml` - CI unit test workflow - `make clean_local_only_files` – Artifact cleanup utility -- `scripts/pytest_xdist.py` – Parallel execution detection helper \ No newline at end of file +- `scripts/pytest_xdist.py` – Parallel execution detection helper diff --git a/makefile b/makefile index 6c052e01b..7d3eb368d 100644 --- a/makefile +++ b/makefile @@ -1,6 +1,9 @@ # Emit pytest-xdist argument if available; can be overridden on the make command line PYTEST_XDIST ?= $(shell python scripts/pytest_xdist.py 2>/dev/null) PYTEST ?= +SMOKE_CODE_CELLS ?= 2 +# Shared Python interpreter lookup for Python-based targets. +PYTHON_BIN ?= $(shell command -v python 2>/dev/null || { [ -n "$$CONDA_PREFIX" ] && command -v "$$CONDA_PREFIX/bin/python" 2>/dev/null; } || { command -v conda >/dev/null 2>&1 && conda run -n qmcpy python -c 'import sys; print(sys.executable)' 2>/dev/null; } || command -v python3 2>/dev/null) # set environment variable for documentation export JUPYTER_PLATFORM_DIRS=1 @@ -94,13 +97,8 @@ doctests_no_docker: doctests_minimal doctests_torch doctests_gpytorch doctests_b ########################################################## unittests: ensure_artifacts @mkdir -p $(UNIT_COV_DIR) - @PYTHON_BIN=$$(command -v python 2>/dev/null || { [ -n "$$CONDA_PREFIX" ] && command -v "$$CONDA_PREFIX/bin/python" 2>/dev/null; } || { command -v conda >/dev/null 2>&1 && conda run -n qmcpy python -c 'import sys; print(sys.executable)' 2>/dev/null; } || command -v python3 2>/dev/null); \ - if [ -z "$$PYTHON_BIN" ]; then \ - echo "No Python interpreter found (tried: python, $$CONDA_PREFIX/bin/python, python3)."; \ - exit 127; \ - fi; \ COVERAGE_FILE=$(UNIT_COV_DIR)/.coverage \ - "$$PYTHON_BIN" -m pytest $(PYTEST_XDIST) -x \ + $(PYTHON_BIN) -m pytest $(PYTEST_XDIST) -x \ --cov=qmcpy \ --cov-report term \ --cov-report json:$(UNIT_COV_DIR)/coverage.json \ @@ -114,6 +112,25 @@ generate_booktests: @echo "\nGenerating missing booktest files..." cd test/booktests/ && python generate_test.py --check-missing +check_colab_notebooks: check_colab_notebooks_smoke + $(PYTHON_BIN) scripts/check_colab_notebooks.py --strict + +check_colab_notebooks_smoke: + $(PYTHON_BIN) scripts/smoke_test_colab_notebooks.py --cells-after-bootstrap $(SMOKE_CODE_CELLS) + +harden_colab_notebook: + @if [ -n "$(NOTEBOOK)" ]; then \ + if [ -n "$(FORCE)" ]; then \ + $(PYTHON_BIN) scripts/harden_colab_notebook.py --notebook "$(NOTEBOOK)" --force; \ + else \ + $(PYTHON_BIN) scripts/harden_colab_notebook.py --notebook "$(NOTEBOOK)"; \ + fi; \ + elif [ -n "$(FORCE)" ]; then \ + $(PYTHON_BIN) scripts/harden_colab_notebook.py --force; \ + else \ + $(PYTHON_BIN) scripts/harden_colab_notebook.py --all-unclassified; \ + fi + check_booktests: rm -fr demos/.ipynb_checkpoints/*checkpoint.ipynb && \ find demos -name '*.ipynb' | while read nb; do \ @@ -129,7 +146,7 @@ check_booktests: @echo "Total notebooks: $$(find demos -name '*.ipynb' | wc -l)" @echo "Total test files: $$(find test/booktests -name 'tb_*.py' | wc -l)" -booktests_no_docker: check_booktests generate_booktests clean_local_only_files ensure_artifacts +booktests_no_docker: check_colab_notebooks harden_colab_notebook check_booktests generate_booktests clean_local_only_files ensure_artifacts @echo "\nNotebook tests" @mkdir -p $(BOOKTEST_COV_DIR) set -e && \ @@ -146,7 +163,7 @@ booktests_no_docker: check_booktests generate_booktests clean_local_only_files e cd ../.. # coverage is done in function run_single_test() in test/booktests/parsl_test_runner.py -booktests_parallel_no_docker: check_booktests generate_booktests clean_local_only_files +booktests_parallel_no_docker: check_colab_notebooks harden_colab_notebook check_booktests generate_booktests clean_local_only_files @echo "\nNotebook tests with Parsl" cd test/booktests/ && \ rm -fr *.eps *.jpg *.pdf *.png *.part *.txt *.log && rm -fr logs && rm -fr runinfo prob_failure_gp_ci_plots && \ @@ -155,7 +172,7 @@ booktests_parallel_no_docker: check_booktests generate_booktests clean_local_onl cd ../.. # Windows-compatible parallel booktests using pytest-xdist instead of Parsl -booktests_parallel_pytest: check_booktests generate_booktests clean_local_only_files ensure_artifacts +booktests_parallel_pytest: check_colab_notebooks harden_colab_notebook check_booktests generate_booktests clean_local_only_files ensure_artifacts @mkdir -p $(BOOKTEST_COV_DIR) cd test/booktests/ && \ PYTHONWARNINGS="ignore::UserWarning,ignore::DeprecationWarning,ignore::FutureWarning,ignore::ImportWarning" \ @@ -178,7 +195,7 @@ tests_no_docker: set -e && $(MAKE) doctests_no_docker && $(MAKE) unittests # Fast test target: run doctests, unittests, booktests concurrently -tests_fast: +tests_fast: check_colab_notebooks harden_colab_notebook check_booktests generate_booktests clean_local_only_files ensure_artifacts @echo "Running fast tests: doctests and unittests concurrently (splitting CPU cores)." @make clean_local_only_files && \ set -e && \ diff --git a/scripts/check_colab_notebooks.py b/scripts/check_colab_notebooks.py new file mode 100644 index 000000000..8115557fe --- /dev/null +++ b/scripts/check_colab_notebooks.py @@ -0,0 +1,490 @@ +#!/usr/bin/env python3 +""" +Validate Colab support metadata for demo notebooks. + +Every notebook under ``demos/`` must be explicitly classified in the manifest: +- enabled: notebook should expose the expected Colab badge and bootstrap cell +- disabled: notebook is intentionally excluded, with a reason +""" + +from __future__ import annotations + +import argparse +import ast +import json +import sys +import warnings +from pathlib import Path + + +REPO_ROOT = Path(__file__).resolve().parents[1] +DEMOS_DIR = REPO_ROOT / "demos" +DEFAULT_MANIFEST = Path(__file__).with_name("colab_notebooks_manifest.json") + +CORE_BOOTSTRAP_FRAGMENT = "import google.colab" +REPO_QMCPY_INSTALL_FRAGMENTS = ( + "git+https://github.com/QMCSoftware/QMCSoftware", + "pip install -q -e", + "pip install -e", +) +EXTRA_PIP_DEPENDENCIES = { + "QuantLib": ("QuantLib", "quantlib"), + "parsl": ("parsl",), + "seaborn": ("seaborn",), + "skopt": ("scikit-optimize", "skopt"), + "tueplots": ("tueplots",), +} +UMBRIDGE_MARKERS = ("import umbridge", "from umbridge", "UMBridgeWrapper", "HTTPModel(") +EARLY_EXTRA_DEPENDENCY_CODE_CELLS = 3 +REPO_FETCH_FRAGMENTS = ("git clone", "raw.githubusercontent.com", "wget ", "curl ") +PATH_SETUP_FRAGMENTS = ("sys.path.insert", "os.chdir(", "%cd ", "cd ") +IGNORED_NOTEBOOK_NAME_PREFIXES = (".tmp", "._tmp") + + +def load_json(path: Path) -> dict: + try: + with path.open(encoding="utf-8") as handle: + return json.load(handle) + except json.JSONDecodeError as exc: + raise ValueError( + f"{path}:{exc.lineno}:{exc.colno}: invalid JSON: {exc.msg}" + ) from exc + + +def as_source_list(source: str | list[str]) -> list[str]: + if isinstance(source, str): + return source.splitlines(keepends=True) + return list(source) + + +def cell_source_text(cell: dict) -> str: + return "".join(as_source_list(cell.get("source", []))) + + +def python_source_for_ast(source: str) -> str: + filtered_lines = [] + for line in source.splitlines(): + stripped = line.lstrip() + if stripped.startswith(("!", "%")): + continue + filtered_lines.append(line) + return "\n".join(filtered_lines) + + +def imported_modules(source: str, location: str = "") -> set[str]: + cleaned = python_source_for_ast(source) + if not cleaned.strip(): + return set() + try: + # Notebook code often contains valid runtime strings such as LaTeX + # preambles that trigger irrelevant SyntaxWarnings during static parsing. + with warnings.catch_warnings(): + warnings.simplefilter("ignore", SyntaxWarning) + tree = ast.parse(cleaned, filename=location) + except SyntaxError: + return set() + + modules: set[str] = set() + for node in ast.walk(tree): + if isinstance(node, ast.Import): + for alias in node.names: + modules.add(alias.name.split(".")[0]) + elif isinstance(node, ast.ImportFrom) and node.module: + modules.add(node.module.split(".")[0]) + return modules + + +def badge_markup(repo: str, git_ref: str, notebook_path: str) -> str: + return ( + "[![Open In Colab]" + "(https://colab.research.google.com/assets/colab-badge.svg)]" + "(https://colab.research.google.com/github/" + f"{repo}/blob/{git_ref}/{notebook_path})" + ) + + +def is_any_badge_cell(cell: dict) -> bool: + if cell.get("cell_type") != "markdown": + return False + source = cell_source_text(cell) + return "Open In Colab" in source or "colab.research.google.com" in source + + +def has_expected_badge(cell: dict, repo: str, git_ref: str, notebook_path: str) -> bool: + return ( + cell.get("cell_type") == "markdown" + and badge_markup(repo, git_ref, notebook_path) in cell_source_text(cell) + ) + + +def is_any_install_cell(cell: dict) -> bool: + if cell.get("cell_type") != "code": + return False + source = cell_source_text(cell) + return "import google.colab" in source + + +def pip_install_lines(source: str) -> list[str]: + return [line.lower() for line in source.splitlines() if "pip install" in line.lower()] + + +def installs_qmcpy(source: str) -> bool: + install_lines = pip_install_lines(source) + if any("qmcpy" in line for line in install_lines): + return True + return any(fragment in source for fragment in REPO_QMCPY_INSTALL_FRAGMENTS) + + +def installs_packages(source: str, package_names: tuple[str, ...]) -> bool: + install_lines = pip_install_lines(source) + return any( + package.lower() in line + for line in install_lines + for package in package_names + ) + + +def is_bootstrap_cell(cell: dict) -> bool: + source = cell_source_text(cell) + return cell.get("cell_type") == "code" and ( + CORE_BOOTSTRAP_FRAGMENT in source and installs_qmcpy(source) + ) + + +def notebook_code_cells(cells: list[dict]) -> list[tuple[int, dict]]: + return [ + (idx, cell) for idx, cell in enumerate(cells) if cell.get("cell_type") == "code" + ] + + +def early_non_install_code_cells( + cells: list[dict], limit: int = EARLY_EXTRA_DEPENDENCY_CODE_CELLS +) -> list[tuple[int, dict]]: + early_cells: list[tuple[int, dict]] = [] + for idx, cell in notebook_code_cells(cells): + if is_any_install_cell(cell): + continue + early_cells.append((idx, cell)) + if len(early_cells) >= limit: + break + return early_cells + + +def imported_modules_in_cells(indexed_cells: list[tuple[int, dict]]) -> set[str]: + modules: set[str] = set() + for idx, cell in indexed_cells: + modules.update( + imported_modules(cell_source_text(cell), location=f"cell {idx + 1}") + ) + return modules + + +def code_source_upto(cells: list[dict], end_index: int) -> str: + return "\n".join( + cell_source_text(cell) + for idx, cell in enumerate(cells) + if cell.get("cell_type") == "code" and idx <= end_index + ) + + +def find_first_module_import(cells: list[dict], module: str) -> int | None: + for idx, cell in notebook_code_cells(cells): + location = f"cell {idx + 1}" + if module in imported_modules(cell_source_text(cell), location=location): + return idx + return None + + +def local_module_matches(notebook_dir: Path, module: str) -> list[Path]: + matches: list[Path] = [] + direct_file = notebook_dir / f"{module}.py" + package_init = notebook_dir / module / "__init__.py" + if direct_file.exists(): + matches.append(direct_file) + if package_init.exists(): + matches.append(package_init) + for candidate in notebook_dir.rglob(f"{module}.py"): + if candidate not in matches and "__pycache__" not in candidate.parts: + matches.append(candidate) + return matches + + +def validate_strict_enabled_notebook(path: Path) -> list[str]: + notebook_path = path.relative_to(REPO_ROOT).as_posix() + notebook_dir = path.parent + payload = load_json(path) + cells = payload.get("cells", []) + errors: list[str] = [] + full_source = "\n".join( + cell_source_text(cell) for _, cell in notebook_code_cells(cells) + ) + early_imports = imported_modules_in_cells(early_non_install_code_cells(cells)) + + for module, package_names in sorted(EXTRA_PIP_DEPENDENCIES.items()): + if module not in early_imports: + continue + first_import_index = find_first_module_import(cells, module) + if first_import_index is None: + continue + source_before_import = code_source_upto(cells, first_import_index) + if not installs_packages(source_before_import, package_names): + errors.append( + f"{notebook_path}: imports '{module}' without installing {package_names[0]!r} before that import." + ) + + imported_roots = sorted( + { + module + for idx, cell in notebook_code_cells(cells) + for module in imported_modules( + cell_source_text(cell), location=f"cell {idx + 1}" + ) + } + ) + if "umbridge" in imported_roots or any(marker in full_source for marker in UMBRIDGE_MARKERS): + errors.append( + f"{notebook_path}: depends on UM-Bridge and should be classified as Colab-disabled." + ) + + for module in imported_roots: + local_matches = local_module_matches(notebook_dir, module) + if not local_matches: + continue + first_import_index = find_first_module_import(cells, module) + if first_import_index is None: + continue + source_before_import = code_source_upto(cells, first_import_index) + if not any(fragment in source_before_import for fragment in REPO_FETCH_FRAGMENTS): + errors.append( + f"{notebook_path}: imports local module '{module}' without fetching repo files first." + ) + if not any(fragment in source_before_import for fragment in PATH_SETUP_FRAGMENTS): + errors.append( + f"{notebook_path}: imports local module '{module}' without updating the working directory or sys.path first." + ) + nested_match = next( + (match for match in local_matches if match.parent != notebook_dir), None + ) + if nested_match is not None: + rel_parent = nested_match.parent.relative_to(notebook_dir).as_posix() + if rel_parent and rel_parent not in source_before_import: + errors.append( + f"{notebook_path}: imports local module '{module}' from '{rel_parent}' without referencing that path in Colab setup." + ) + + return errors + + +def manifest_sets(manifest: dict) -> tuple[set[str], dict[str, str]]: + enabled = set(manifest.get("enabled", [])) + disabled = dict(manifest.get("disabled", {})) + return enabled, disabled + + +def is_discoverable_notebook(path: Path) -> bool: + return ".ipynb_checkpoints" not in path.parts and not path.name.startswith( + IGNORED_NOTEBOOK_NAME_PREFIXES + ) + + +def discovered_notebooks() -> set[str]: + return { + path.relative_to(REPO_ROOT).as_posix() + for path in DEMOS_DIR.rglob("*.ipynb") + if is_discoverable_notebook(path) + } + + +def validate_manifest(manifest: dict, allowed_missing: set[str] | None = None) -> list[str]: + errors: list[str] = [] + enabled, disabled = manifest_sets(manifest) + discovered = discovered_notebooks() + declared = enabled | set(disabled) + allowed_missing = allowed_missing or set() + + overlap = enabled & set(disabled) + if overlap: + errors.append( + "Manifest paths cannot be both enabled and disabled: " + + ", ".join(sorted(overlap)) + ) + + missing = (discovered - declared) - allowed_missing + if missing: + errors.append( + "Manifest is missing notebook classifications for: " + + ", ".join(sorted(missing)) + ) + + extra = declared - discovered + if extra: + errors.append( + "Manifest references notebooks that do not exist: " + + ", ".join(sorted(extra)) + ) + + for notebook_path, reason in sorted(disabled.items()): + if not isinstance(reason, str) or not reason.strip(): + errors.append(f"Disabled notebook is missing a reason: {notebook_path}") + + if not manifest.get("repo"): + errors.append("Manifest must define a non-empty 'repo' value.") + if not manifest.get("git_ref"): + errors.append("Manifest must define a non-empty 'git_ref' value.") + + return errors + + +def validate_enabled_notebook(path: Path, repo: str, git_ref: str) -> list[str]: + notebook_path = path.relative_to(REPO_ROOT).as_posix() + payload = load_json(path) + cells = payload.get("cells", []) + errors: list[str] = [] + + badge_positions = [ + idx + for idx, cell in enumerate(cells) + if has_expected_badge(cell, repo, git_ref, notebook_path) + ] + any_badge_positions = [ + idx for idx, cell in enumerate(cells) if is_any_badge_cell(cell) + ] + bootstrap_positions = [ + idx for idx, cell in enumerate(cells) if is_bootstrap_cell(cell) + ] + any_install_positions = [ + idx for idx, cell in enumerate(cells) if is_any_install_cell(cell) + ] + first_substantive_code = next( + ( + idx + for idx, cell in enumerate(cells) + if cell.get("cell_type") == "code" and not is_bootstrap_cell(cell) + ), + None, + ) + + if not badge_positions: + errors.append(f"{notebook_path}: missing the expected Colab badge markup.") + if not bootstrap_positions: + errors.append( + f"{notebook_path}: missing a Colab bootstrap cell with the core qmcpy install command." + ) + + if len(badge_positions) > 1: + errors.append( + f"{notebook_path}: expected one matching Colab badge, found {len(badge_positions)}." + ) + if len(any_badge_positions) != len(badge_positions): + errors.append( + f"{notebook_path}: found Colab badge markup that does not match the expected notebook URL." + ) + if len(bootstrap_positions) > 1: + errors.append( + f"{notebook_path}: expected one Colab bootstrap cell, found {len(bootstrap_positions)}." + ) + if len(any_install_positions) != len(bootstrap_positions): + errors.append( + f"{notebook_path}: found google.colab setup code that does not include the core qmcpy bootstrap." + ) + if badge_positions and bootstrap_positions and badge_positions[0] > bootstrap_positions[0]: + errors.append( + f"{notebook_path}: Colab badge must appear before the Colab bootstrap cell." + ) + + if ( + badge_positions + and first_substantive_code is not None + and badge_positions[0] > first_substantive_code + ): + errors.append( + f"{notebook_path}: Colab badge must appear before the first substantive code cell." + ) + + if ( + bootstrap_positions + and first_substantive_code is not None + and bootstrap_positions[0] > first_substantive_code + ): + errors.append( + f"{notebook_path}: Colab bootstrap cell must appear before the first substantive code cell." + ) + + return errors + + +def validate_disabled_notebook(path: Path) -> list[str]: + notebook_path = path.relative_to(REPO_ROOT).as_posix() + payload = load_json(path) + cells = payload.get("cells", []) + errors: list[str] = [] + + if any(is_any_badge_cell(cell) for cell in cells): + errors.append( + f"{notebook_path}: manifest marks this notebook as Colab-disabled, but a badge is present." + ) + if any(is_any_install_cell(cell) for cell in cells): + errors.append( + f"{notebook_path}: manifest marks this notebook as Colab-disabled, but a Colab install cell is present." + ) + + return errors + + +def run_check(manifest_path: Path, strict: bool = False) -> int: + manifest = load_json(manifest_path) + errors = validate_manifest(manifest) + enabled, disabled = manifest_sets(manifest) + repo = manifest["repo"] + git_ref = manifest["git_ref"] + + for notebook_path in sorted(enabled): + errors.extend( + validate_enabled_notebook(REPO_ROOT / notebook_path, repo, git_ref) + ) + + for notebook_path in sorted(disabled): + errors.extend(validate_disabled_notebook(REPO_ROOT / notebook_path)) + + if strict: + for notebook_path in sorted(enabled): + errors.extend(validate_strict_enabled_notebook(REPO_ROOT / notebook_path)) + + if errors: + for error in errors: + print(error, file=sys.stderr) + return 1 + + print( + "Colab notebook check passed: " + f"{len(enabled)} enabled, {len(disabled)} disabled, " + f"{len(enabled) + len(disabled)} total." + ) + return 0 + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser( + description="Check Colab badge/bootstrap cells for demo notebooks." + ) + parser.add_argument( + "--manifest", + default=str(DEFAULT_MANIFEST), + help=f"Path to the Colab manifest (default: {DEFAULT_MANIFEST})", + ) + parser.add_argument( + "--strict", + action="store_true", + help="Run additional static Colab-readiness checks for enabled notebooks.", + ) + return parser.parse_args() + + +def main() -> int: + args = parse_args() + manifest_path = Path(args.manifest).resolve() + return run_check(manifest_path, strict=args.strict) + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/scripts/colab_notebooks_manifest.json b/scripts/colab_notebooks_manifest.json new file mode 100644 index 000000000..09f59e402 --- /dev/null +++ b/scripts/colab_notebooks_manifest.json @@ -0,0 +1,51 @@ +{ + "repo": "QMCSoftware/QMCSoftware", + "git_ref": "develop", + "enabled": [ + "demos/DAKOTA_Genz/dakota_genz.ipynb", + "demos/GBM/gbm_demo.ipynb", + "demos/GBM/gbm_examples.ipynb", + "demos/acceptance_rejection.ipynb", + "demos/asian-option-mlqmc.ipynb", + "demos/control_variates.ipynb", + "demos/demo_resume_data/Iteration_Log_Tolerance_Demo.ipynb", + "demos/demo_resume_data/accuracy_and_resume.ipynb", + "demos/demo_resume_data/resume_examples.ipynb", + "demos/digital_net_b2.ipynb", + "demos/elliptic-pde.ipynb", + "demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb", + "demos/iris.ipynb", + "demos/lattice_random_generator.ipynb", + "demos/lebesgue_integration.ipynb", + "demos/linear-scrambled-halton.ipynb", + "demos/nei_demo.ipynb", + "demos/plot_proj_function.ipynb", + "demos/pricing_options.ipynb", + "demos/qei-demo-for-blog.ipynb", + "demos/qmcpy_intro.ipynb", + "demos/quickstart.ipynb", + "demos/ray_tracing.ipynb", + "demos/sample_scatter_plots.ipynb", + "demos/scipywrapper_dependence_custom/scipywrapper_demo.ipynb", + "demos/some_true_measures.ipynb", + "demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb", + "demos/talk_paper_demos/JOSS2026/joss2026.ipynb", + "demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb", + "demos/talk_paper_demos/Parslfest_2025/01_sequential.ipynb", + "demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb", + "demos/talk_paper_demos/Parslfest_2025/03_visualize_speedup.ipynb", + "demos/talk_paper_demos/Parslfest_2025/output/01_sequential_output.ipynb", + "demos/talk_paper_demos/SorokinThesis2025/sorokin_thesis_2025.ipynb", + "demos/talk_paper_demos/pydata_chi_2023.ipynb", + "demos/talk_paper_demos/why_add_q_to_mc_blog/why_add_q_to_mc_blog.ipynb", + "demos/vectorized_qmc.ipynb", + "demos/vectorized_qmc_bayes.ipynb" + ], + "disabled": { + "demos/talk_paper_demos/Argonne_Talk_2023_May/Argonne_2023_Talk_Figures.ipynb": "Need Umbridge", + "demos/umbridge.ipynb": "Need Umbridge", + "demos/talk_paper_demos/MCQMC2022_Article_Figures/MCQMC2022_Article_Figures.ipynb": "Need Umbridge", + "demos/talk_paper_demos/ProbFailureSorokinRao/prob_failure_gp_ci.ipynb": "Need Umbridge", + "demos/talk_paper_demos/Purdue_Talk_2023_March/Purdue_Talk_Figures.ipynb": "Need Umbridge" + } +} diff --git a/scripts/harden_colab_notebook.py b/scripts/harden_colab_notebook.py new file mode 100644 index 000000000..2325231e5 --- /dev/null +++ b/scripts/harden_colab_notebook.py @@ -0,0 +1,514 @@ +#!/usr/bin/env python3 +""" +Harden a demo notebook for Colab and classify it in the Colab manifest. + +This script is intentionally conservative: +- it updates one notebook at a time +- it inserts a standard badge/bootstrap before the first substantive code cell +- it only auto-classifies notebooks that are not already in enabled or disabled +- it can force-regenerate Colab bootstrap cells for notebooks already in enabled +- it validates the result with the existing strict Colab checks +""" + +from __future__ import annotations + +import argparse +import copy +import json +from pathlib import Path + +from check_colab_notebooks import ( + DEFAULT_MANIFEST, + EXTRA_PIP_DEPENDENCIES, + REPO_ROOT, + badge_markup, + discovered_notebooks, + early_non_install_code_cells, + imported_modules, + is_any_install_cell, + local_module_matches, + load_json, + validate_disabled_notebook, + validate_enabled_notebook, + validate_manifest, + manifest_sets, + validate_strict_enabled_notebook, +) + + +EXTRA_IMPORT_DEPENDENCIES = { + **EXTRA_PIP_DEPENDENCIES, + "botorch": ("botorch",), + "gpytorch": ("gpytorch",), + "ipywidgets": ("ipywidgets",), + "seaborn": ("seaborn",), + "sklearn": ("scikit-learn", "sklearn"), + "sympy": ("sympy",), + "torch": ("torch",), + "umbridge": ("umbridge",), + "yfinance": ("yfinance",), +} +LATEX_MARKERS = ( + "text.usetex", + "\\usepackage", + "dvipng", + "latexmk", + "computer modern", +) + + +def dump_json(path: Path, payload: dict) -> None: + with path.open("w", encoding="utf-8") as handle: + json.dump(payload, handle, indent=1, ensure_ascii=False) + handle.write("\n") + + +def as_source_text(source: str | list[str]) -> str: + if isinstance(source, str): + return source + return "".join(source) + + +def full_source(cells: list[dict], cell_types: set[str] | None = None) -> str: + if cell_types is None: + cell_types = {"code"} + return "\n".join( + as_source_text(cell.get("source", [])) + for cell in cells + if cell.get("cell_type") in cell_types + ) + + +def discovered_imports(cells: list[dict]) -> set[str]: + modules: set[str] = set() + for idx, cell in enumerate(cells): + if cell.get("cell_type") != "code": + continue + modules.update( + imported_modules( + as_source_text(cell.get("source", [])), + location=f"cell {idx + 1}", + ) + ) + return modules + + +def local_repo_import_matches( + notebook_path: Path, cells: list[dict] +) -> dict[str, list[Path]]: + notebook_dir = notebook_path.parent.resolve() + matches_by_module: dict[str, list[Path]] = {} + for module in sorted(discovered_imports(cells)): + if module == "qmcpy": + continue + matches = local_module_matches(notebook_dir, module) + if matches: + matches_by_module[module] = matches + return matches_by_module + + +def needs_latex_setup(cells: list[dict]) -> bool: + source = full_source(cells, {"code", "markdown"}) + return any(marker in source for marker in LATEX_MARKERS) + + +def extra_pip_packages(cells: list[dict]) -> list[str]: + early_cells = [cell for _, cell in early_non_install_code_cells(cells)] + modules = discovered_imports(early_cells) + packages: list[str] = [] + for module, names in sorted(EXTRA_IMPORT_DEPENDENCIES.items()): + if module in modules: + package = names[0] + if package not in packages: + packages.append(package) + return packages + + +def extra_repo_paths(notebook_path: Path, cells: list[dict]) -> list[str]: + notebook_dir = notebook_path.parent.resolve() + repo_matches = local_repo_import_matches(notebook_path, cells) + rel_paths: list[str] = [] + + for module in sorted(repo_matches): + for match in repo_matches[module]: + if match.name == "__init__.py" and match.parent.name == module: + parent = match.parent.parent.resolve() + else: + parent = match.parent.resolve() + if parent == notebook_dir: + continue + if parent == REPO_ROOT: + continue + rel_parent = parent.relative_to(REPO_ROOT).as_posix() + if rel_parent not in rel_paths: + rel_paths.append(rel_parent) + + return rel_paths + + +def bootstrap_cell_source(notebook_path: Path, manifest: dict, cells: list[dict]) -> list[str]: + notebook_dir_rel = notebook_path.parent.relative_to(REPO_ROOT).as_posix() + packages = extra_pip_packages(cells) + rel_paths = extra_repo_paths(notebook_path, cells) + latex_setup = needs_latex_setup(cells) + needs_repo_clone = bool(local_repo_import_matches(notebook_path, cells)) + + lines = [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + ] + + if needs_repo_clone: + lines.extend( + [ + " import sys\n", + " import os\n", + ' repo_root = "/content/QMCSoftware"\n', + f' notebook_dir = f"{{repo_root}}/{notebook_dir_rel}"\n', + " if not os.path.isdir(repo_root):\n", + f" !git clone -q --depth 1 https://github.com/{manifest['repo']} {{repo_root}}\n", + ] + ) + + lines.append(" !pip install -q qmcpy\n") + + if packages: + lines.append(f" !pip install -q {' '.join(packages)}\n") + + if latex_setup: + lines.append( + " !apt-get update && apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n" + ) + + if needs_repo_clone: + lines.extend( + [ + " os.chdir(notebook_dir)\n", + " if notebook_dir not in sys.path:\n", + " sys.path.insert(0, notebook_dir)\n", + ] + ) + for rel_path in rel_paths: + lines.extend( + [ + f' extra_path = f"{{repo_root}}/{rel_path}"\n', + " if extra_path not in sys.path:\n", + " sys.path.insert(0, extra_path)\n", + ] + ) + + lines.extend(["except:\n", " pass"]) + return lines + + +def first_code_index(cells: list[dict]) -> int: + for idx, cell in enumerate(cells): + if cell.get("cell_type") == "code": + return idx + return len(cells) + + +def badge_exists(cells: list[dict], manifest: dict, notebook_path: Path) -> bool: + expected = badge_markup( + manifest["repo"], + manifest["git_ref"], + notebook_path.relative_to(REPO_ROOT).as_posix(), + ) + return any( + cell.get("cell_type") == "markdown" + and expected in as_source_text(cell.get("source", [])) + for cell in cells + ) + + +def remove_any_badge_cells(cells: list[dict]) -> list[dict]: + return [ + cell + for cell in cells + if not ( + cell.get("cell_type") == "markdown" + and "colab.research.google.com" in as_source_text(cell.get("source", [])) + ) + ] + + +def remove_existing_bootstrap_cells(cells: list[dict]) -> list[dict]: + return [cell for cell in cells if not is_any_install_cell(cell)] + + +def pending_unclassified( + manifest: dict, current_notebook: str | None = None +) -> set[str]: + enabled, disabled = manifest_sets(manifest) + missing = discovered_notebooks() - enabled - set(disabled) + if current_notebook is not None: + missing.discard(current_notebook) + return missing + + +def harden_notebook(notebook_path: Path, manifest_path: Path) -> None: + manifest = load_json(manifest_path) + notebook_payload = load_json(notebook_path) + + original_manifest = copy.deepcopy(manifest) + original_notebook = copy.deepcopy(notebook_payload) + + # Cells that survive unchanged: remove only the old badge/bootstrap cells. + # These dict objects are never modified; they are passed through as-is. + kept_cells = remove_any_badge_cells( + remove_existing_bootstrap_cells(list(notebook_payload.get("cells", []))) + ) + + insert_at = 1 if kept_cells and kept_cells[0].get("cell_type") == "markdown" else 0 + insert_at = min(insert_at, first_code_index(kept_cells)) + + badge_cell = { + "cell_type": "markdown", + "metadata": {}, + "source": [ + badge_markup( + manifest["repo"], + manifest["git_ref"], + notebook_path.relative_to(REPO_ROOT).as_posix(), + ) + ], + } + bootstrap_cell = { + "cell_type": "code", + "execution_count": None, + "metadata": {}, + "outputs": [], + # Pass kept_cells (not the final list) so the source scanner only sees + # the original notebook code cells, not the badge cell we just built. + "source": bootstrap_cell_source(notebook_path, manifest, kept_cells), + } + + # Build the final cell list purely by concatenation — kept_cells are untouched. + cells = kept_cells[:insert_at] + [badge_cell, bootstrap_cell] + kept_cells[insert_at:] + + notebook_payload["cells"] = cells + + notebook_rel = notebook_path.relative_to(REPO_ROOT).as_posix() + enabled = list(manifest.get("enabled", [])) + disabled = dict(manifest.get("disabled", {})) + if notebook_rel in disabled: + raise ValueError( + f"{notebook_rel} is already classified as disabled; harden_colab_notebook does not reclassify disabled notebooks." + ) + if notebook_rel not in enabled: + enabled.append(notebook_rel) + enabled = sorted(enabled) + manifest["enabled"] = enabled + manifest["disabled"] = disabled + + try: + dump_json(notebook_path, notebook_payload) + dump_json(manifest_path, manifest) + + reloaded_manifest = load_json(manifest_path) + errors = validate_manifest( + reloaded_manifest, + allowed_missing=pending_unclassified(reloaded_manifest, notebook_rel), + ) + errors.extend( + validate_enabled_notebook( + notebook_path, + reloaded_manifest["repo"], + reloaded_manifest["git_ref"], + ) + ) + errors.extend(validate_strict_enabled_notebook(notebook_path)) + if errors: + raise RuntimeError("\n".join(errors)) + except Exception: + dump_json(notebook_path, original_notebook) + dump_json(manifest_path, original_manifest) + raise + + +def unclassified_notebooks(manifest_path: Path) -> list[Path]: + manifest = load_json(manifest_path) + enabled, disabled = manifest_sets(manifest) + unclassified = sorted(discovered_notebooks() - enabled - set(disabled)) + notebook_paths: list[Path] = [] + for notebook_rel in unclassified: + notebook_paths.append((REPO_ROOT / notebook_rel).resolve()) + return notebook_paths + + +def enabled_notebooks(manifest_path: Path) -> list[Path]: + manifest = load_json(manifest_path) + enabled, _ = manifest_sets(manifest) + return sorted((REPO_ROOT / notebook_rel).resolve() for notebook_rel in enabled) + + +def disable_notebook(notebook_path: Path, manifest_path: Path, reason: str) -> None: + manifest = load_json(manifest_path) + original_manifest = copy.deepcopy(manifest) + notebook_payload = load_json(notebook_path) + original_notebook = copy.deepcopy(notebook_payload) + notebook_rel = notebook_path.relative_to(REPO_ROOT).as_posix() + enabled = sorted( + path for path in manifest.get("enabled", []) if path != notebook_rel + ) + manifest["enabled"] = enabled + disabled = dict(manifest.get("disabled", {})) + disabled[notebook_rel] = reason + manifest["disabled"] = disabled + try: + notebook_payload["cells"] = remove_existing_bootstrap_cells( + remove_any_badge_cells(list(notebook_payload.get("cells", []))) + ) + dump_json(notebook_path, notebook_payload) + dump_json(manifest_path, manifest) + reloaded_manifest = load_json(manifest_path) + errors = validate_manifest( + reloaded_manifest, + allowed_missing=pending_unclassified(reloaded_manifest, notebook_rel), + ) + errors.extend(validate_disabled_notebook(notebook_path)) + if errors: + raise RuntimeError("\n".join(errors)) + except Exception: + dump_json(notebook_path, original_notebook) + dump_json(manifest_path, original_manifest) + raise + + +def harden_unclassified_notebooks( + manifest_path: Path, +) -> tuple[list[str], list[tuple[str, str]]]: + successes: list[str] = [] + failures: list[tuple[str, str]] = [] + + for notebook_path in unclassified_notebooks(manifest_path): + notebook_rel = notebook_path.relative_to(REPO_ROOT).as_posix() + try: + if not notebook_path.exists(): + raise FileNotFoundError(f"Notebook not found: {notebook_rel}") + if notebook_path.suffix != ".ipynb": + raise ValueError(f"Expected a notebook path ending in .ipynb: {notebook_rel}") + harden_notebook(notebook_path, manifest_path) + successes.append(notebook_rel) + except Exception as exc: + summary = str(exc).splitlines()[0] if str(exc) else "unknown error" + disable_notebook( + notebook_path, + manifest_path, + f"Automatic Colab hardening failed: {summary}", + ) + failures.append((notebook_rel, summary)) + + return successes, failures + + +def harden_enabled_notebooks( + manifest_path: Path, +) -> tuple[list[str], list[tuple[str, str]]]: + successes: list[str] = [] + failures: list[tuple[str, str]] = [] + + for notebook_path in enabled_notebooks(manifest_path): + notebook_rel = notebook_path.relative_to(REPO_ROOT).as_posix() + try: + harden_notebook(notebook_path, manifest_path) + successes.append(notebook_rel) + except Exception as exc: + summary = str(exc).splitlines()[0] if str(exc) else "unknown error" + failures.append((notebook_rel, summary)) + + return successes, failures + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser( + description="Harden a demo notebook for Colab and enable it in the Colab manifest." + ) + parser.add_argument( + "--notebook", + help="Repo-relative path to the notebook to harden, e.g. demos/plot_proj_function.ipynb", + ) + parser.add_argument( + "--all-unclassified", + action="store_true", + help="Attempt to harden every notebook under demos/ that is not yet listed in enabled or disabled.", + ) + parser.add_argument( + "--force", + action="store_true", + help="Regenerate the Colab bootstrap for enabled notebook(s). Without --notebook, processes every enabled notebook.", + ) + parser.add_argument( + "--manifest", + default=str(DEFAULT_MANIFEST), + help=f"Path to the Colab manifest (default: {DEFAULT_MANIFEST})", + ) + args = parser.parse_args() + if args.notebook and args.all_unclassified: + parser.error("specify either --notebook or --all-unclassified, not both") + if args.all_unclassified and args.force: + parser.error("specify either --all-unclassified or --force, not both") + if not args.notebook and not args.all_unclassified and not args.force: + parser.error("specify --notebook, --all-unclassified, or --force") + return args + + +def main() -> int: + args = parse_args() + manifest_path = Path(args.manifest).resolve() + if args.notebook: + notebook_path = (REPO_ROOT / args.notebook).resolve() + if not notebook_path.exists(): + raise SystemExit(f"Notebook not found: {args.notebook}") + if notebook_path.suffix != ".ipynb": + raise SystemExit(f"Expected a notebook path ending in .ipynb: {args.notebook}") + manifest = load_json(manifest_path) + enabled, disabled = manifest_sets(manifest) + notebook_rel = notebook_path.relative_to(REPO_ROOT).as_posix() + if notebook_rel in disabled: + raise SystemExit( + f"{notebook_rel} is already classified as disabled; update the manifest manually before reclassifying it." + ) + if notebook_rel in enabled: + harden_notebook(notebook_path, manifest_path) + print(f"Hardened {notebook_rel} for Colab.") + return 0 + try: + harden_notebook(notebook_path, manifest_path) + print(f"Hardened {notebook_rel} for Colab and added it to enabled.") + return 0 + except Exception as exc: + summary = str(exc).splitlines()[0] if str(exc) else "unknown error" + disable_notebook( + notebook_path, + manifest_path, + f"Automatic Colab hardening failed: {summary}", + ) + print( + f"Could not harden {notebook_rel}; restored the notebook and added it to disabled." + ) + print(f"Reason: {summary}") + return 1 + + if args.force: + successes, failures = harden_enabled_notebooks(manifest_path) + else: + successes, failures = harden_unclassified_notebooks(manifest_path) + for notebook_rel in successes: + print(f"Hardened {notebook_rel} for Colab.") + if failures: + print("") + print("Not yet hardened:") + for notebook_rel, error in failures: + summary = error.splitlines()[0] if error else "unknown error" + print(f"- {notebook_rel}: {summary}") + print("") + print( + f"Hardened {len(successes)} notebook(s); {len(failures)} notebook(s) still need manual follow-up." + ) + return 0 if not failures else 1 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/scripts/smoke_test_colab_notebooks.py b/scripts/smoke_test_colab_notebooks.py new file mode 100644 index 000000000..e75a22d27 --- /dev/null +++ b/scripts/smoke_test_colab_notebooks.py @@ -0,0 +1,362 @@ +#!/usr/bin/env python3 +""" +Run lightweight Colab readiness smoke tests for enabled demo notebooks. + +This executes a temporary notebook prefix consisting of: +- a prelude cell that fakes ``google.colab`` +- the notebook's Colab bootstrap cell (with shell installs rewritten to no-ops) +- up to a few smoke-safe import/setup code cells after the bootstrap cell + +The goal is to catch runtime import/path/setup regressions in CI without +executing entire notebooks or re-running heavyweight package installs. +""" + +from __future__ import annotations + +import argparse +import ast +import copy +import json +import os +import sys +import tempfile +from pathlib import Path + +try: + from testbook import testbook +except ImportError as exc: # pragma: no cover - import guard for non-test envs + raise SystemExit( + "testbook is required for Colab smoke tests. Install test dependencies, e.g. `pip install -e .[test]`." + ) from exc + +from check_colab_notebooks import python_source_for_ast + + +REPO_ROOT = Path(__file__).resolve().parents[1] +DEFAULT_MANIFEST = Path(__file__).with_name("colab_notebooks_manifest.json") + + +def load_json(path: Path) -> dict: + with path.open(encoding="utf-8") as handle: + return json.load(handle) + + +def as_source_text(source: str | list[str]) -> str: + if isinstance(source, str): + return source + return "".join(source) + + +def is_colab_bootstrap_cell(cell: dict) -> bool: + if cell.get("cell_type") != "code": + return False + source = as_source_text(cell.get("source", [])) + return "import google.colab" in source and "pip install" in source + + +def make_prelude_cell(notebook_path: Path) -> dict: + notebook_dir = notebook_path.parent.resolve().as_posix() + repo_root = REPO_ROOT.resolve().as_posix() + source = f"""import os +import sys +import types + +google = sys.modules.get("google") +if google is None: + google = types.ModuleType("google") + sys.modules["google"] = google + +colab = types.ModuleType("google.colab") +google.colab = colab +sys.modules["google.colab"] = colab + +os.environ["QMC_COLAB_SMOKE"] = "1" +os.environ["QMC_COLAB_SMOKE_REPO_ROOT"] = r"{repo_root}" +os.environ["QMC_COLAB_SMOKE_NOTEBOOK_DIR"] = r"{notebook_dir}" +""" + return { + "cell_type": "code", + "execution_count": None, + "id": "smoke-prelude", + "metadata": {}, + "outputs": [], + "source": source, + } + + +def rewrite_shell_magics(source: str) -> str: + rewritten_lines: list[str] = [] + for line in source.splitlines(keepends=True): + stripped = line.lstrip() + indent = line[: len(line) - len(stripped)] + if stripped.startswith("!"): + command = stripped[1:].rstrip() + rewritten_lines.append(f"{indent}print({command!r})\n") + else: + rewritten_lines.append(line) + return "".join(rewritten_lines) + + +def rewrite_bootstrap_source(source: str) -> str: + repo_root = REPO_ROOT.resolve().as_posix() + source = source.replace('"/content/QMCSoftware"', repr(repo_root)) + source = source.replace("'/content/QMCSoftware'", repr(repo_root)) + return rewrite_shell_magics(source) + + +def assignment_target_is_smoke_safe(node: ast.AST) -> bool: + if isinstance(node, ast.Name): + return True + if isinstance(node, (ast.Tuple, ast.List)): + return all(assignment_target_is_smoke_safe(elt) for elt in node.elts) + if isinstance(node, ast.Attribute): + return expression_is_smoke_safe(node.value) + if isinstance(node, ast.Subscript): + return expression_is_smoke_safe(node.value) and expression_is_smoke_safe(node.slice) + return False + + +def expression_is_smoke_safe(node: ast.AST | None) -> bool: + if node is None: + return True + if isinstance(node, (ast.Constant, ast.Name)): + return True + if isinstance(node, ast.Attribute): + return expression_is_smoke_safe(node.value) + if isinstance(node, ast.Tuple): + return all(expression_is_smoke_safe(elt) for elt in node.elts) + if isinstance(node, ast.List): + return all(expression_is_smoke_safe(elt) for elt in node.elts) + if isinstance(node, ast.Set): + return all(expression_is_smoke_safe(elt) for elt in node.elts) + if isinstance(node, ast.Dict): + return all( + expression_is_smoke_safe(key) and expression_is_smoke_safe(value) + for key, value in zip(node.keys, node.values) + ) + if isinstance(node, ast.UnaryOp): + return expression_is_smoke_safe(node.operand) + if isinstance(node, ast.BinOp): + return expression_is_smoke_safe(node.left) and expression_is_smoke_safe(node.right) + if isinstance(node, ast.BoolOp): + return all(expression_is_smoke_safe(value) for value in node.values) + if isinstance(node, ast.Compare): + return expression_is_smoke_safe(node.left) and all( + expression_is_smoke_safe(comparator) for comparator in node.comparators + ) + if isinstance(node, ast.Subscript): + return expression_is_smoke_safe(node.value) and expression_is_smoke_safe(node.slice) + if isinstance(node, ast.Slice): + return ( + expression_is_smoke_safe(node.lower) + and expression_is_smoke_safe(node.upper) + and expression_is_smoke_safe(node.step) + ) + if isinstance(node, ast.IfExp): + return ( + expression_is_smoke_safe(node.test) + and expression_is_smoke_safe(node.body) + and expression_is_smoke_safe(node.orelse) + ) + if isinstance(node, ast.JoinedStr): + return all( + expression_is_smoke_safe(value.value) + if isinstance(value, ast.FormattedValue) + else expression_is_smoke_safe(value) + for value in node.values + ) + if isinstance(node, ast.FormattedValue): + return expression_is_smoke_safe(node.value) + return False + + +def statement_is_smoke_safe(node: ast.stmt) -> bool: + if isinstance(node, (ast.Import, ast.ImportFrom, ast.FunctionDef, ast.AsyncFunctionDef, ast.ClassDef, ast.Pass)): + return True + if isinstance(node, ast.Assign): + return all(assignment_target_is_smoke_safe(target) for target in node.targets) and expression_is_smoke_safe(node.value) + if isinstance(node, ast.AnnAssign): + return assignment_target_is_smoke_safe(node.target) and expression_is_smoke_safe(node.value) + if isinstance(node, ast.AugAssign): + return assignment_target_is_smoke_safe(node.target) and expression_is_smoke_safe(node.value) + if isinstance(node, ast.Expr): + return expression_is_smoke_safe(node.value) + if isinstance(node, ast.Try): + return ( + all(statement_is_smoke_safe(stmt) for stmt in node.body) + and all( + expression_is_smoke_safe(handler.type) + and all(statement_is_smoke_safe(stmt) for stmt in handler.body) + for handler in node.handlers + ) + and all(statement_is_smoke_safe(stmt) for stmt in node.orelse) + and all(statement_is_smoke_safe(stmt) for stmt in node.finalbody) + ) + if isinstance(node, ast.If): + return ( + expression_is_smoke_safe(node.test) + and all(statement_is_smoke_safe(stmt) for stmt in node.body) + and all(statement_is_smoke_safe(stmt) for stmt in node.orelse) + ) + return False + + +def is_smoke_safe_code_cell(source: str) -> bool: + cleaned = python_source_for_ast(source) + if not cleaned.strip(): + return True + try: + tree = ast.parse(cleaned) + except SyntaxError: + return False + return all(statement_is_smoke_safe(statement) for statement in tree.body) + + +def build_smoke_notebook(notebook_path: Path, cells_after_bootstrap: int) -> tuple[dict, list[int | None]]: + with notebook_path.open(encoding="utf-8") as handle: + original_nb = json.load(handle) + + bootstrap_idx = next( + (idx for idx, cell in enumerate(original_nb["cells"]) if is_colab_bootstrap_cell(cell)), + None, + ) + if bootstrap_idx is None: + raise RuntimeError(f"{notebook_path.as_posix()}: missing Colab bootstrap cell") + + stop_idx = bootstrap_idx + safe_code_cells = 0 + for idx in range(bootstrap_idx + 1, len(original_nb["cells"])): + cell = original_nb["cells"][idx] + if cell.get("cell_type") != "code": + stop_idx = idx + continue + if safe_code_cells >= cells_after_bootstrap: + break + if not is_smoke_safe_code_cell(as_source_text(cell.get("source", ""))): + break + safe_code_cells += 1 + stop_idx = idx + + temp_cells = [make_prelude_cell(notebook_path)] + source_indices: list[int | None] = [None] + + for idx, cell in enumerate(original_nb["cells"][: stop_idx + 1]): + cloned = copy.deepcopy(cell) + cloned["id"] = f"smoke-{idx}" + if cloned.get("cell_type") == "code": + cloned["source"] = rewrite_bootstrap_source(as_source_text(cloned.get("source", ""))) + cloned["execution_count"] = None + cloned["outputs"] = [] + temp_cells.append(cloned) + source_indices.append(idx) + + smoke_nb = { + "cells": temp_cells, + "metadata": copy.deepcopy(original_nb.get("metadata", {})), + "nbformat": original_nb.get("nbformat", 4), + "nbformat_minor": original_nb.get("nbformat_minor", 5), + } + return smoke_nb, source_indices + + +def execute_smoke_notebook(notebook_path: Path, smoke_nb: dict, source_indices: list[int | None], timeout: int) -> None: + notebook_dir = notebook_path.parent.resolve() + with tempfile.NamedTemporaryFile( + suffix=".ipynb", + prefix=".tmp_colab_smoke_", + dir=notebook_dir, + delete=False, + ) as handle: + temp_path = Path(handle.name) + + try: + with temp_path.open("w", encoding="utf-8") as handle: + json.dump(smoke_nb, handle) + + original_cwd = Path.cwd() + try: + os.chdir(notebook_dir) + with testbook(temp_path.as_posix(), timeout=timeout, execute=False) as tb: + for temp_idx, cell in enumerate(tb.cells): + if cell.cell_type != "code": + continue + try: + tb.execute_cell(temp_idx) + except Exception as exc: # noqa: BLE001 + source_idx = source_indices[temp_idx] + if source_idx is None: + location = "prelude cell" + else: + location = f"notebook cell {source_idx + 1}" + raise RuntimeError( + f"{notebook_path.relative_to(REPO_ROOT).as_posix()}: Colab smoke failed in {location}: {exc}" + ) from exc + finally: + os.chdir(original_cwd) + finally: + if temp_path.exists(): + temp_path.unlink() + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser( + description="Run lightweight Colab readiness smoke tests for enabled notebooks." + ) + parser.add_argument( + "--manifest", + default=str(DEFAULT_MANIFEST), + help=f"Path to the Colab manifest (default: {DEFAULT_MANIFEST})", + ) + parser.add_argument( + "--cells-after-bootstrap", + type=int, + default=2, + help="Maximum number of smoke-safe code cells to execute after the bootstrap cell (default: 2)", + ) + parser.add_argument( + "--timeout", + type=int, + default=600, + help="Per-notebook execution timeout in seconds (default: 600)", + ) + parser.add_argument( + "--notebook", + action="append", + default=[], + help="Optional manifest-relative notebook path to smoke test. May be passed multiple times.", + ) + return parser.parse_args() + + +def main() -> int: + args = parse_args() + manifest_path = Path(args.manifest).resolve() + manifest = load_json(manifest_path) + enabled = list(manifest.get("enabled", [])) + + if args.notebook: + enabled = [path for path in enabled if path in set(args.notebook)] + + if not enabled: + print("No enabled notebooks selected for Colab smoke tests.") + return 0 + + for notebook_rel in enabled: + notebook_path = (REPO_ROOT / notebook_rel).resolve() + print(f"Smoke testing {notebook_rel}") + smoke_nb, source_indices = build_smoke_notebook( + notebook_path, args.cells_after_bootstrap + ) + execute_smoke_notebook( + notebook_path, + smoke_nb, + source_indices, + timeout=args.timeout, + ) + + print(f"Colab smoke tests passed: {len(enabled)} notebook(s).") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) From 7b6d1f3d9af3f8072c86056157da144c329d8625 Mon Sep 17 00:00:00 2001 From: sou-cheng-choi Date: Fri, 29 May 2026 20:18:24 -0500 Subject: [PATCH 09/20] Update --- demos/DAKOTA_Genz/dakota_genz.ipynb | 859 +- demos/GBM/gbm_demo.ipynb | 14 +- demos/GBM/gbm_examples.ipynb | 33 + demos/acceptance_rejection.ipynb | 1 - demos/asian-option-mlqmc.ipynb | 43 +- demos/control_variates.ipynb | 1 - .../Iteration_Log_Tolerance_Demo.ipynb | 21 + .../accuracy_and_resume.ipynb | 30 + demos/demo_resume_data/resume_examples.ipynb | 30 + demos/digital_net_b2.ipynb | 21 + demos/elliptic-pde.ipynb | 6 +- .../gaussian_diagnostics_demo.ipynb | 1 - demos/iris.ipynb | 8 +- demos/lattice_random_generator.ipynb | 21 + demos/lebesgue_integration.ipynb | 1 - demos/linear-scrambled-halton.ipynb | 21 + demos/nei_demo.ipynb | 21 + demos/plot_proj_function.ipynb | 21 + demos/pricing_options.ipynb | 21 + demos/qei-demo-for-blog.ipynb | 21 + demos/qmcpy_intro.ipynb | 1 - demos/quickstart.ipynb | 1 - demos/ray_tracing.ipynb | 21 + demos/sample_scatter_plots.ipynb | 21 + .../scipywrapper_demo.ipynb | 21 + demos/some_true_measures.ipynb | 21 + .../acm_toms_sorokin_2025.ipynb | 22 + .../talk_paper_demos/JOSS2026/joss2026.ipynb | 5 +- .../MCQMC_2020_QMC_Software_Tutorial.ipynb | 7038 +++++++++-------- .../Parslfest_2025/01_sequential.ipynb | 21 + .../Parslfest_2025/02_parallel.ipynb | 30 +- .../Parslfest_2025/03_visualize_speedup.ipynb | 30 + .../output/01_sequential_output.ipynb | 21 + .../sorokin_thesis_2025.ipynb | 21 + demos/talk_paper_demos/pydata_chi_2023.ipynb | 21 + .../why_add_q_to_mc_blog.ipynb | 21 + demos/vectorized_qmc.ipynb | 2488 +++--- demos/vectorized_qmc_bayes.ipynb | 25 +- 38 files changed, 5747 insertions(+), 5277 deletions(-) diff --git a/demos/DAKOTA_Genz/dakota_genz.ipynb b/demos/DAKOTA_Genz/dakota_genz.ipynb index 81d8877ba..9bbedec23 100644 --- a/demos/DAKOTA_Genz/dakota_genz.ipynb +++ b/demos/DAKOTA_Genz/dakota_genz.ipynb @@ -1,449 +1,444 @@ { - "cells": [ - { - "cell_type": "markdown", - "id": "b2b373ff", - "metadata": { - "id": "b2b373ff" - }, - "source": [ - "# Genz Function in Dakota and QMCPy\n", - "\n", - "A QMCPy implementation and comparison of [Dakota's Genz function](https://dakota.sandia.gov/sites/default/files/docs/6.17.0-release/user-html/usingdakota/examples/additionalexamples.html?highlight=genz#genz-functions)" - ] - }, - { - "cell_type": "markdown", - "id": "385fe7c1-64b4-46a2-a7de-8599511b83da", - "metadata": { - "id": "385fe7c1-64b4-46a2-a7de-8599511b83da" - }, - "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/DAKOTA_Genz/dakota_genz.ipynb)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%%capture\n", - "# @title Execute this cell to install dependencies\n", - "try:\n", - " import google.colab\n", - " !pip install -q qmcpy\n", - " !apt-get update -qq\n", - " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", - "except:\n", - " pass" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "3bc4fbb7", - "metadata": { - "id": "3bc4fbb7" - }, - "outputs": [], - "source": [ - "from numpy import *\n", - "from qmcpy import *\n", - "import pandas as pd\n", - "from matplotlib import pyplot\n", - "import tempfile\n", - "import os\n", - "import subprocess\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "plt.rcParams.update({\n", - "\"text.usetex\": True,\n", - "\"font.family\": \"serif\",\n", - "\"text.latex.preamble\": r\"\\usepackage{amsmath}\\usepackage{amssymb}\\newcommand{\\bx}{\\boldsymbol{x}}\"\n", - "})\n", - "%matplotlib inline" - ] + "cells": [ + { + "cell_type": "markdown", + "id": "b2b373ff", + "metadata": { + "id": "b2b373ff" + }, + "source": [ + "# Genz Function in Dakota and QMCPy\n", + "\n", + "A QMCPy implementation and comparison of [Dakota's Genz function](https://dakota.sandia.gov/sites/default/files/docs/6.17.0-release/user-html/usingdakota/examples/additionalexamples.html?highlight=genz#genz-functions)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/DAKOTA_Genz/dakota_genz.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + " !apt-get update && apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", + "except:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3bc4fbb7", + "metadata": { + "id": "3bc4fbb7" + }, + "outputs": [], + "source": [ + "from numpy import *\n", + "from qmcpy import *\n", + "import pandas as pd\n", + "from matplotlib import pyplot\n", + "import tempfile\n", + "import os\n", + "import subprocess\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "plt.rcParams.update({\n", + "\"text.usetex\": True,\n", + "\"font.family\": \"serif\",\n", + "\"text.latex.preamble\": r\"\\usepackage{amsmath}\\usepackage{amssymb}\\newcommand{\\bx}{\\boldsymbol{x}}\"\n", + "})\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d1867a8e", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "d1867a8e", + "outputId": "b5ecdb2d-047c-4473-ca04-533b6c4e35d1" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 2, - "id": "d1867a8e", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "d1867a8e", - "outputId": "b5ecdb2d-047c-4473-ca04-533b6c4e35d1" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 1, 2, 4, 8, 16, 32, 64, 128])" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "kinds_func = ['oscillatory','corner-peak']\n", - "kinds_coeff = [1,2,3]\n", - "ds = 2**arange(8)\n", - "ns = 2**arange(7,19)\n", - "ds" + "data": { + "text/plain": [ + "array([ 1, 2, 4, 8, 16, 32, 64, 128])" ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "kinds_func = ['oscillatory','corner-peak']\n", + "kinds_coeff = [1,2,3]\n", + "ds = 2**arange(8)\n", + "ns = 2**arange(7,19)\n", + "ds" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "119bffb6", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 349 }, + "id": "119bffb6", + "outputId": "7e5fc487-b02d-4a48-c51d-4ceb74019e2d" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "id": "119bffb6", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 349 - }, - "id": "119bffb6", - "outputId": "7e5fc487-b02d-4a48-c51d-4ceb74019e2d" - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " oscillatory.1 oscillatory.2 oscillatory.3 corner-peak.1 \\\n", - "d \n", - "1 -0.217229 -0.217229 -0.217229 8.000000e-01 \n", - "2 -0.350528 -0.379658 -0.217290 7.133127e-01 \n", - "4 -0.472868 -0.472147 -0.223335 5.663464e-01 \n", - "8 -0.545580 -0.526053 -0.276837 3.573127e-01 \n", - "16 -0.585497 -0.558159 -0.390467 1.423258e-01 \n", - "32 -0.606470 -0.577987 -0.492894 2.259076e-02 \n", - "64 -0.617227 -0.590764 -0.556348 5.692663e-04 \n", - "128 -0.622677 -0.599348 -0.591170 3.615787e-07 \n", - "\n", - " corner-peak.2 corner-peak.3 \n", - "d \n", - "1 0.800000 0.800000 \n", - "2 0.712088 0.719996 \n", - "4 0.566334 0.589674 \n", - "8 0.360014 0.402641 \n", - "16 0.147353 0.185776 \n", - "32 0.025678 0.038375 \n", - "64 0.000879 0.001606 \n", - "128 0.000001 0.000003 " - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } + "data": { + "text/html": [ + "
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oscillatory.1oscillatory.2oscillatory.3corner-peak.1corner-peak.2corner-peak.3
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" ], - "source": [ - "# takes about 5.5 min to run for me\n", - "ref_sols = {}\n", - "print('logging: ',end='',flush=True)\n", - "x_full = DigitalNetB2(ds.max(),seed=7).gen_samples(2**22)\n", - "for kind_func in kinds_func:\n", - " for kind_coeff in kinds_coeff:\n", - " tag = '%s.%d'%(kind_func,kind_coeff)\n", - " print('%s, '%tag,end='',flush=True)\n", - " mu_hats = zeros(len(ds),dtype=float)\n", - " for j,d in enumerate(ds):\n", - " genz = Genz(IIDStdUniform(d),kind_func=kind_func,kind_coeff=kind_coeff)\n", - " y = genz.f(x_full[:,:d])\n", - " mu_hats[j] = y.mean()\n", - " ref_sols[tag] = mu_hats\n", - "print()\n", - "ref_sols = pd.DataFrame(ref_sols)\n", - "ref_sols['d'] = ds\n", - "ref_sols.set_index('d',inplace=True)\n", - "ref_sols " + "text/plain": [ + " oscillatory.1 oscillatory.2 oscillatory.3 corner-peak.1 \\\n", + "d \n", + "1 -0.217229 -0.217229 -0.217229 8.000000e-01 \n", + "2 -0.350528 -0.379658 -0.217290 7.133127e-01 \n", + "4 -0.472868 -0.472147 -0.223335 5.663464e-01 \n", + "8 -0.545580 -0.526053 -0.276837 3.573127e-01 \n", + "16 -0.585497 -0.558159 -0.390467 1.423258e-01 \n", + "32 -0.606470 -0.577987 -0.492894 2.259076e-02 \n", + "64 -0.617227 -0.590764 -0.556348 5.692663e-04 \n", + "128 -0.622677 -0.599348 -0.591170 3.615787e-07 \n", + "\n", + " corner-peak.2 corner-peak.3 \n", + "d \n", + "1 0.800000 0.800000 \n", + "2 0.712088 0.719996 \n", + "4 0.566334 0.589674 \n", + "8 0.360014 0.402641 \n", + "16 0.147353 0.185776 \n", + "32 0.025678 0.038375 \n", + "64 0.000879 0.001606 \n", + "128 0.000001 0.000003 " ] - }, + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# takes about 5.5 min to run for me\n", + "ref_sols = {}\n", + "print('logging: ',end='',flush=True)\n", + "x_full = DigitalNetB2(ds.max(),seed=7).gen_samples(2**22)\n", + "for kind_func in kinds_func:\n", + " for kind_coeff in kinds_coeff:\n", + " tag = '%s.%d'%(kind_func,kind_coeff)\n", + " print('%s, '%tag,end='',flush=True)\n", + " mu_hats = zeros(len(ds),dtype=float)\n", + " for j,d in enumerate(ds):\n", + " genz = Genz(IIDStdUniform(d),kind_func=kind_func,kind_coeff=kind_coeff)\n", + " y = genz.f(x_full[:,:d])\n", + " mu_hats[j] = y.mean()\n", + " ref_sols[tag] = mu_hats\n", + "print()\n", + "ref_sols = pd.DataFrame(ref_sols)\n", + "ref_sols['d'] = ds\n", + "ref_sols.set_index('d',inplace=True)\n", + "ref_sols " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "125a91a0", + "metadata": { + "id": "125a91a0" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "id": "125a91a0", - "metadata": { - "id": "125a91a0" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(262144, 128)\n" - ] - } - ], - "source": [ - "if os.path.isfile(\"x_full_dakota.txt\"):\n", - " x_full_dakota = np.loadtxt(\"x_full_dakota.txt\")\n", - "else:\n", - " print(\"please download Dakota's Halton points from https://drive.google.com/uc?id=1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\")\n", - " # with tempfile.TemporaryDirectory() as tmp:\n", - " # with open(os.path.join(tmp, \"dakota.in\"), \"w\") as io:\n", - " # io.write(f\"environment\\\n", - " # \\ttabular_data\\n\\\n", - " # method\\\n", - " # \\tfsu_quasi_mc halton\\\n", - " # \\t\\tsamples = {ns.max()}\\\n", - " # \\toutput silent\\n\\\n", - " # variables\\\n", - " # \\tcontinuous_design = {ds.max()}\\\n", - " # \\tlower_bounds = {' '.join(['0.0' for _ in range(ds.max())])}\\\n", - " # \\tupper_bounds = {' '.join(['1.0' for _ in range(ds.max())])}\\n\\\n", - " # interface\\\n", - " # \\tfork\\\n", - " # \\t\\tanalysis_driver = 'dummy'\\\n", - " # \\tbatch\\\n", - " # \\twork_directory named 'work'\\n\\\n", - " # responses\\\n", - " # \\tobjective_functions = 1\\\n", - " # \\tno_gradients\\\n", - " # \\tno_hessians\"\n", - " # )\n", - " # subprocess.run([\"dakota\", \"dakota.in\"], cwd=tmp, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)\n", - " # file = os.listdir(os.path.join(tmp, \"work\"))[0]\n", - " # with open(os.path.join(tmp, \"work\", file), \"r\") as io:\n", - " # lines = io.readlines()\n", - " # x_full_dakota = []\n", - " # for n, line in enumerate(lines):\n", - " # if f\"{ds.max()} variables\" in line:\n", - " # x_full_dakota.append([float(lines[n + 1 + j].split()[0]) for j in range(ds.max())])\n", - " # x_full_dakota = np.vstack(x_full_dakota)\n", - " # np.savetxt(\"data/x_full_dakota.txt\",x_full_dakota)\n", - "print(x_full_dakota.shape)" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "(262144, 128)\n" + ] + } + ], + "source": [ + "if os.path.isfile(\"x_full_dakota.txt\"):\n", + " x_full_dakota = np.loadtxt(\"x_full_dakota.txt\")\n", + "else:\n", + " print(\"please download Dakota's Halton points from https://drive.google.com/uc?id=1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\")\n", + " # with tempfile.TemporaryDirectory() as tmp:\n", + " # with open(os.path.join(tmp, \"dakota.in\"), \"w\") as io:\n", + " # io.write(f\"environment\\\n", + " # \\ttabular_data\\n\\\n", + " # method\\\n", + " # \\tfsu_quasi_mc halton\\\n", + " # \\t\\tsamples = {ns.max()}\\\n", + " # \\toutput silent\\n\\\n", + " # variables\\\n", + " # \\tcontinuous_design = {ds.max()}\\\n", + " # \\tlower_bounds = {' '.join(['0.0' for _ in range(ds.max())])}\\\n", + " # \\tupper_bounds = {' '.join(['1.0' for _ in range(ds.max())])}\\n\\\n", + " # interface\\\n", + " # \\tfork\\\n", + " # \\t\\tanalysis_driver = 'dummy'\\\n", + " # \\tbatch\\\n", + " # \\twork_directory named 'work'\\n\\\n", + " # responses\\\n", + " # \\tobjective_functions = 1\\\n", + " # \\tno_gradients\\\n", + " # \\tno_hessians\"\n", + " # )\n", + " # subprocess.run([\"dakota\", \"dakota.in\"], cwd=tmp, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)\n", + " # file = os.listdir(os.path.join(tmp, \"work\"))[0]\n", + " # with open(os.path.join(tmp, \"work\", file), \"r\") as io:\n", + " # lines = io.readlines()\n", + " # x_full_dakota = []\n", + " # for n, line in enumerate(lines):\n", + " # if f\"{ds.max()} variables\" in line:\n", + " # x_full_dakota.append([float(lines[n + 1 + j].split()[0]) for j in range(ds.max())])\n", + " # x_full_dakota = np.vstack(x_full_dakota)\n", + " # np.savetxt(\"data/x_full_dakota.txt\",x_full_dakota)\n", + "print(x_full_dakota.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "39f95904", + "metadata": { + "id": "39f95904" + }, + "outputs": [], + "source": [ + "n_max,d_max = ns.max(),ds.max()\n", + "pts = {\n", + " 'IID Standard Uniform': IIDStdUniform(d_max).gen_samples(n_max),\n", + " 'Lattice (random shift)': Lattice(d_max).gen_samples(n_max),\n", + " 'Digital Net (random scramble + shift)': DigitalNetB2(d_max).gen_samples(n_max),\n", + " 'Halton (QMCPy)': Halton(d_max).gen_samples(n_max,warn=False),\n", + " 'Halton (Dakota)': x_full_dakota[:n_max,:d_max]\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f7af3060", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 }, + "id": "f7af3060", + "outputId": "fb51e55a-6494-4713-ddd4-4f3e17b3be44" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 19, - "id": "39f95904", - "metadata": { - "id": "39f95904" - }, - "outputs": [], - "source": [ - "n_max,d_max = ns.max(),ds.max()\n", - "pts = {\n", - " 'IID Standard Uniform': IIDStdUniform(d_max).gen_samples(n_max),\n", - " 'Lattice (random shift)': Lattice(d_max).gen_samples(n_max),\n", - " 'Digital Net (random scramble + shift)': DigitalNetB2(d_max).gen_samples(n_max),\n", - " 'Halton (QMCPy)': Halton(d_max).gen_samples(n_max,warn=False),\n", - " 'Halton (Dakota)': x_full_dakota[:n_max,:d_max]\n", - "}" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "logging\n", + "IID Standard Uniform d: 1, 2, 4, 8, 16, 32, 64, 128, \n", + "Lattice (random shift) d: 1, 2, 4, 8, 16, 32, 64, 128, \n", + "Digital Net (random scramble + shift) d: 1, 2, 4, 8, 16, 32, 64, 128, \n", + " Halton (QMCPy) d: 1, 2, 4, 8, 16, 32, 64, 128, \n", + " Halton (Dakota) d: 1, 2, 4, 8, 16, 32, 64, 128, \n" + ] }, { - "cell_type": "code", - "execution_count": 20, - "id": "f7af3060", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "f7af3060", - "outputId": "fb51e55a-6494-4713-ddd4-4f3e17b3be44" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "logging\n", - "IID Standard Uniform d: 1, 2, 4, 8, 16, 32, 64, 128, \n", - "Lattice (random shift) d: 1, 2, 4, 8, 16, 32, 64, 128, \n", - "Digital Net (random scramble + shift) d: 1, 2, 4, 8, 16, 32, 64, 128, \n", - " Halton (QMCPy) d: 1, 2, 4, 8, 16, 32, 64, 128, \n", - " Halton (Dakota) d: 1, 2, 4, 8, 16, 32, 64, 128, \n" - ] - }, - { - "data": { - "image/png": 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6OqZHz4X1ilu3qm6T/v8HyDXrkR0Wi0WVtWWqrC3T1r21CfeZm5vX2PBUXJHYyNUJhS9PKHx5XGPhaU2Nzery2IguP7P8B33lVSXxRWHbqszZw8qrS1b1BzF7G6vkfdtLdP//e1Kf//4p/d1/ndKJZ4L61O/YuU/JIaeHxvUHXzyuX1y6pvKSInU779I9d+7UySvX9MjZsB69fi/6+IURjU3P6cfPBPXjZxaKwqrKivX8XXXRorDrH8ZWisKAmEK751iqpLRY226q07abFv6SNhKJ6NrwlFkMdvXsNQ2du6bQ5XFNjEzrzONBnXl8YZwpKrHItrM6OlvY7oXZwjJd3AwAm0WhZwcAID3kBgBsDgWzBGRPT48GBgbMbQ0NDerr65PD4chYu4mqm5uamjQ8HJLVWp+xdrJh6NqUvvXYJT30yHn99+CQFs+c/4I99brnrmgx2J4GfsmykeZm5hW8OKbguWsaOjemofPRz2OhqYT7FxVb1LCj2iwIi80cVtPAMpLIvkKdEjhZduTTdRgem9bXfnpOfQNn9dj5hYKA7XXlute+Rzc3VuuBh5/S5dHodbjXvkd/ds9tslVvjqVXIvMRjQYnFboULQiLzhgWXVZyPDyd9HnFpUULs4btqDKXk7Rur1JZRWHU4D9zdUy//bffV2h8RhWlRfqN5++Qs6VJv9LcyC/lsWaFmhvSCtnxj29RXcu9UvOvSaWVG96vmak5ha9MKHxl3CwKC12eUPjKRNL/n8YsKw5b9HVFdWlK/1ftf/yS3tP3M4UnZlRbUaLue+/Sa+7cmanTwzr5weBV/eGX/AqNz2h7Xbl6f69VL2iyJtx3dm5eg1fG9Mi5aFHYo+fCeuz8iCZmli/vXFVWrNt3LioK21OvZorCCl6hZkch3HNkyszUXPRnK2cXzRZ27lrSZeSrreVLlpCsUf22KpaqBfJEoeaGRHYAwGoVanaQGwCwOpnOjYIoAIst4bi0AOzUqVOyWq3r1o98Dfmr16b0749e1L89ckE/DCwpBmuy6rdfuEuvf9FuWas2xy/uC9Hk2IyGFhWFBc9d09D5saQ/sFy2jOSu6MxhLGuGjZSvY2a68uU6zM1H9L2nr8h74qz6H7+k6bl5SVJZcZHabt8uZ+sevfyWreYvYUcmZ/TAt57SP/zwWUUiUkNVqd732tvkbNmzqQtUpydmr88WtmjWsEvRWcPmZ5P/F6uqvmyh0OH6UsGx7/Nl7A2Pz+j1n/m+AlfGVFFapMmZefOxXfUVeoN9j+5t2aN9WxIvRwfcSL6Ml5lgXos/rVVduUUqrZaec7d0229Kt/y6VGnNdhc1MzWnkasTCl1eKA6LzWh7o+KwssqSZUtKNmyvVsPO5QW1Z4fHdd8//0T+0yFJ0v/6lZv0vtfelrElhpFZ//DDZ/WBrz+m2fmIXrCnXr3/q1Xb6yrSOsbcfESBK9fMGatjRWHj08vvfSpLi3X7ruiykbHCsOat1SphluSCQXZEcR3SE5mPaGRo8npR2Kg5W9jI1cmE+5eUFsm26/psYXtqtaUpWhhWKH8EAuQTxssFXAsASA3jZRTXAQBSQwFYCiwWi4aHh+OKu1paWswCsEAgIJfLpf7+/nXtRyGE25XRKf37Yxf1bz+/oB+dWigGKysp0j137tSbXrxX+29u2NS/vC8UkUhEo0OTGjo/dr04LFogFro0rsh84mGgxlZ+vSCsRo17qtW4q0bWHSwjifVRCGNmKnL9OgSuXFPfwFl91X9Wl0YWfqH//F11am/Zo//xwt1qWGFmr5+cHtbhrz6iJy+OSpJ+aZ9NH379nXrOtpp173smzc9HNDo0EV1C8lK0KGz4wpgunbum+YnExbgxFTWly4rCop9TnwUn22bm5vXmL/xY3z85pJ31FfraO35V58OT8g6c0dd/el4jk7Pmvq03NcjZskf33LVz0y6Rjc0p18fLTDKvhfddqjvdL4XPLDxYVCrte7l02+ukW++Rardnr6NJzEzPaeRKdCnJUGz2sOufrw2vXBxWt6VCtl3XlzzfVSPb7mrVbKnQx46d1Ge/OyhJun1nnT79u3YKTjeRmbl5feAbj+kff3hakvQ/XrhLnnvvylih3tx8RKeuXi8KOztyvSgsrLEERWEVpUW6fedCUViTrUplJUUqKy5SeUlR9Ovr35eVFKm8pFilxZacyGMsR3ZEcR0yY3piVlfPXYtbRjJ47ppmF/3hw2L1Wyu1palWW/fWRD831aqqjj+eBDYzxssFsWvh/dgPtKd5u2w7q2XbVS3rtioVl/CzYgCIITuiuA4AkBoKwFbg8/nU39+v7u5udXZ2av/+/XI6nZKiRV89PT3av3+/jh8/rsOHD6/r7F9S4YXb5dFJ/b9HLurLx8/oiQsLS3w1b63Wm168V/fa96z4S39kx9zMvIYvjUVnC7teFBY8fy3pL9uKii3aYdSr6Xab9t5u09amWllY2gAZUGhjZjKx6/CeL/1AL37uHr2wySpjky9XdG1qVg/9/Lz6TpzViWeHze0NVaX6Hy/crfbWPXr+rtSXQp6Zm9cXvn9KH+t/WhMzcyorLtLbX9mst7+yOSdncJmZm9e//OSc/vY7J/XM0LjK56WGeYuct+7UK3dbrxc6TCh0ZUITI8mXlJSksoriuFnD6rZWXp8Vp0pV9WWb4pfRkUhEf/avj+qffnRaVWXF6nvbr8S9/pMzc/I9cUnegbP63i+umMXji5eIfElzI8vm4IbIjQVx16K2VrrwU+mJb0pPflO68uSiPS1S0y9Fi8Ge9zrJti9bXU7Z7HRsWcnrs4ddic4eNnxhXONJxszosudVmq0pke/CsM7MzWiswqI/dd6h337Rng0+Ayw1PDatP/ySX/8dGJLFIr331bfq7a9oXvcMixaFjenR6zOFPXIurMfOJS4KS0VZSZHKixcViC0qEosvGIsWjS17fMk+dRWl2ttYpX1bqrWttnxTZHo+IjuiuA7rZ34+ovDl8bjlI6+euZZ0tsuq+jJtbYrOEhb9XKu6LRWMAcAmwXi5IHYtPvr7X1dl2cIfVhQVWVS/rVK2XdXXi8JqZNtZrfrtlfwRMYCCRHZEcR0AIDUUgOWQQg23SCSin58N659/fFpf/9l5c+mNsuIi/cYdO/SmF+/VLxs2fpi1yU2OzSh4/lpcYdjQ+WvLlpGsqClV023RYrCm222qri/PUo+R6wp1zFwqdh2a3nVUReVVkqTqsmLduadeL2iy6oV7rHpBk1U767P7S4FIJKIfnQqq78RZ/dsjFzQxEx0biizSK567VQdam/Sq27apvGT1BVtnguP6y689qu88dUWSZGyp1l+//g69pHlLRs5hvU3Nzsk7cFaf+Y9BnR2ekBQtinvV87brK/6zkqQ/v+c2/cHLDPM505OzGrk6YRaFhS+PK3z9+xvNglNSVhQtCtsSP2tY/ZZK1dgqNqyg6vP/dUof/Objslik3t9rVdvtyWcbujQyqX/5yTn1nTijwStj5vbYEpHOlj26mRl7kAS5sWDFa3H1aemJb0SLwc4NxD+2/c6FYrDtz5dy7P/nE6PTCp6P/h916PzYDZc9n1ZEkfpS3Xn7Fm1rqlXj9SXQK2s37x+p/PxsSF/64Wk9fXlUb7Dv0ZtevHdTF4XfyC8ujeoP/v6ETgfHVV1WrE+88UVyrJAT621+PqJTQ9eLws5Gi8KuXpvS9Ny8pmcXfczNa2Zu4350UllarJsaq3RzY7Vu2hL9fHNjtW7eUqXttRuX6fmI7IjiOmy88ZHp6PKRZ67pypno59DlcSnB0FJWWaIte64XhO2t0ZY9tWrYyWzsQDYwXi6IXYv//NdHNR0uUvDCmIIXkv/fu6jIovrtVeZMYbad1RSGASgIZEcU1wEAUkMBWA4h3KTRyRl9/Wfn9c8/Pq1Hzy3MCmZsqdYbX9yke+171FhDwVCuiEQiCl+Z0Nkngjr9eFBnnxpedpPfuLsmWgz2fJt2NVtVXMoNPVLDmBkVuw5/2fdjPTk0q0fOhc1C2sW21pbrBXusemFTtDDsrt1W1Vet//J550MT+srAWXn9Z/Xs0Li53dhSrfbWJr3Bvlvb6yoy1l4kEtH/e/Si/urrj+nyaLQA6l77Hv3ZPbfJtklnlZycmdOR42f02e8O6kJ4UpK0paZcHS/fp9/9pZtUXV6iT3/npD76rackSR8/+EL99ot23/C4s9NzGrk6eb0gbNycESd8eVyjwamky/lK0dlwooVhlbJuq5J1e5Ws2ypl3V6l6vryjM3k+J0nL+utf39c8xHpfa99njpe3pzS8yKRiH52Npxwicj9N0eXiHztnSwRiXjkxoKUr0X4nPTkQ9KT35Ce+b4UWZQvDfuuF4P9prRnv1SUm/+Hi0QiGg1ORgvDzl1T8PxYdHmu82OyJBkmK2tL1bi7RrbrBWGxX1CVVZRsbOevG5ua1dd/dl5f+tGzcfdQkvS8HbX6q996vn7ZaMxK39bi2BOX9M4v/1TXpmbVZKvU5/7Xft26ozbb3UrZ/HxE03PzmlpUFBZfJDanqdlFjyfab9Hzp2bn4rYHx6b1/2fvrMPjOO4//B4zSSeWLFlmZjt2mF2nYScNQ9OG2qbc/spNmZtSqEkaaNIkDrNDDtlOzMy2mO+kY77d3x97upMssCRLlmTv+zz77NzS7c3dzezMfObzrW4NUdsWJtlLna7XKCnNMkkCMWdKGJZtpNRposAqi8OOhFx3SMj5MDKIRRK464K4avxpUZi7PoCQ6FoGqNRKsgpN5JSkwkeOsZBdZEajG30OyTIyowm5vMzQXV6IokigLSqJweqD6XVbQ5B4tAdhmEqBPSUMcxSY0gIxW64sDJORkTk+kOsOCTkfZGRkZPqGLAAbRciVW2e213r53/pqXt5clw6zoVEpOG9aPtcsHMPi8tET7skTirGxqo31lW2EYwm+ff4krCfgoHQyKdB0yEv1TkkQ1lLt77RfrVVSNNGRDhdpzzPKzm8yPSKXmRKH50NSEDnQHGBrjYcttR621njY0+jvdmCw3GliVomdWSm3sCkF1r6HTBQESEZBY+iyKxJP8vauJlZsqOGTAy7anxxMWhUXzirkivnFzB3jGNL/ty8S549v7eW/n1UhipKT1g+XTWH5vOIRU66EYgme+qyaBz46REtKrJZn1XH76eO4euGYTt+FKIrc/eouHl1TiVqp4OGbFnD6xJwBv3cyKeB3R1KCsDDelhC+doGYK9ztIFI7ao0SW64Re14HcVieEVuuAb1J0+f83dPoY/l9awlEE3xhfgm/u3zGgL6bSDzJO7ukEJEf7+8cIvJz0wtYPq94VD0zyAwdcr2RYUB5EWqFfW9J7mAH34dEJLPPnA+Tl0nOYGWngnpkCm77QzIp8MH6eu57ZQ+6YJI8UcVEvY6kP96t+wqA1aknq9CcdgrLKjRhzx86B5Zd9T6eWlfFS5vrCUQlIaxWreSCGQWMzzXz4EeH8IbjAFwwo4AfLJtMscM4JPcymIiiyP0fHuIPK/cginBSeRb3XjtvxAq5h5tYQqDOE6bSHaTSFaTKHUqna44gDtOqlZRmGSnNNjHWKa3LsiWxWKHdMKrd4wYLue6QkPNh5JJMCLQ1BmmpDuCq8eOqldaxbhx2FAqw5xlxdgghmVNiQW8+8fqnZGSGCrm8zNCfvEgLw+pTwrDG/gnDMuEkTVhzZGGYjIzM6EKuOyTkfJCRkZHpG7IAbBTR/mXVvvQSuYsXo8nNPboLiiIICYiHIRGFRGqdfh3JLMkY2EogdwroRtas6mA0waspV7Cttd709tJsI1ctGMPyecXkWEaOK5goitS2hdlQ1cr6yjY2VLayrynQ6ZiTyrN49OaFfRdajGJEUexxQD/sj1GTcger2dVKyBfrtN+SpadkmiQGK56chc4wPK4KMiMTuUEg0Zd8CMeS7GrwsqXGy9YaD1trPZ3cuNrRqBRMKbAyKxU2cnaJjXKnubNwJuKFTY/DZw+CtwZKT4apFyNO+TzbvEZWdOPIdFJ5FlfMK+FzM/Ixao/t/3hzdRs/eGE7exolwemisVn8+tIZjM81H9P76EggmuDxtZU8/HEF7qBU7hXZDdx+xjiumFfcY90gCCLfeGYLr2ytx6hV8dSXT2J2iX3Q708QRAJtGXGYpymEtzmEpzmMryWM0MtAss6oTrmFSQIxW66UtuUaOjnjtPijXPKv1dR5wpxUnsXjX1yEVn30HbSNXilE5HMbO4eILLIbuGxuEZfPHb4QkYmkQKMvQm1bOLWE0utmXxSnRUdZJ3cWaQDepJPrvsFCrjcytOfFwT/+kbKvfQ2lrp/P0tEAHHxPEoPtWwnRDq5TOhtMWiqJwcafDdoh/M+JIkT9EG6FcFvXJdQhXTALTvsOqPo3yN3ij/LNZ7bwyQEXAJfPKuSueWWEXGHcdcF0CPTDn2PbUaoUOPKNkjCsSBKGZReZMTt0AxK9hmNJXttWz1Prqtlc7UlvH+s0ce2iMVw+txhHSijVGozx13f28eRnVQgi6NRKbjutnNvPGHfM6+O+Eokn+cEL23lxcx0A1y4aw88vmoZGHsQbEPGkQL0nTMVhwrAqd4jq1hCJ3sRhKiUlWYZUKMmUa1i2iSKHAY1SmY4Aq1QqUCAJS5QKKU2HtEKhQKkABQpQdD6uPQ2Hb0+dMwJE+3LdISHnw+hCFER87nBaFNZSI617qqvMDp0kCivOuFvacw0o5bJXRqbfyOVlhsHIC1EQ8bdFUmKwEK0NgZRALESiF2GYI99EdrEJZ5FUtmUXmzFa5ckEMjIyIxO57pCQ80FGRkamb8gCsFFE+5e1bvwEzCoV6iwzhtJsDKV2DCUW9Pk6lMpk70KueKTza1Ho/43YSyFvOuRNhbxpkDsNsspBNfyDBDvrvTy9roaXNtfhT81yVysVnDs1j6sXjuGU8c5j7vCRFET2NPrYUNnG+spWNlS20eiLdDmu3GlizhgHK3c2EogmWDYjn39cPfe4nlX95vYGvvXsVix6NRPzLEzIMzMxz8LEPDMT8iydXNBEUcRdF0i7gzUc9HRyoFEoFeSPtabcwbLJKbXIbi4nOHKDQGKg+dAWjLG11sPWGm9q7UmLkTpi1qmZWWzj9JwA5wdeYkzVCyjjwS7HCSjYKEzgzeQi3kwuRGErYvm8YpbPK2FM9vC6jcSTAv9ZXcFf39lPOJ5Eq1Jy+xnjuPOMccdUiOsNx3lsTSWPrK7AE5IcWcZkGfnKmeO4dE5xnwRQsYTAFx9dzycHXGSZtKy4fTHjco6dmC2ZFPC7IniaQylhWDidDrRFez3XZNNizzNidhp4raKZ7b4Qxiwdj35tCdmDGAYUpDplS42H5zbW8srWevzdhIi8YGYh5kEUV/Um8KptC9PgjfTqwtITuRZdWgyWFoelXFoG8/5PBOR6I0PHdkdWeTl5P/0J5pNPHtjFEjGo/Ah2vyaFiww2Z/apDTDuLJhyIUw8H4xZ3V9DECQRWXcirk6Crm6EXmL3Az/dMvnzsPwRUPdP8JYURO774AB/eWcfggjjckz885q5TCnI/I7CgRitdUHc9UHc9QFaU+Kw7hxYALQGtSQISwnDslLCsJ4mPOxv8vPkZ9W8sKk2LbJWKxWcPz2faxeOYfG47B7FMrsbfNz96k4+PdQKQIFNz/99bjIXzSocEQKbdpp9Eb78xEa21nhQKRX8/MKpXL+4bLhv67glkRSo90SodAepcgepcIWocgepdAepaQ0TSw6gL2GIUCrAqFVz55njuOP0ccf0dyvXHRJyPhwfBL3RtENYuzjM2xLu9lilOiWg6OBqeTQCZhmZEwW5vMwwlHkhCqkw7g1SGMm29nCSDUESse6fYQxWLc4iE9nFKVFYkRlHvhHVIExGk5GRkTka5LpDQs4HGRkZmb4hC8BGEe1f1pZ5Y9EGtSAe1qGiENHZEhiyY6kljtaaoM/9LmqDNNih1oNGL63bF6UaWg+Bv76Hc/WQM0kShuWmhGF508B8lC5lAyQUS/Datgb+d9jM95IsA1ctGMMV84rJHeTB5HbCsSRbajxsqGxlfVUbm6ra0iFX2lErFUwrsrGg1MH8sizmlzlwmqWBpjUHXNz4n3XEkyI3LC7l7oumHZedZ6v2NPPlxzf0Oqs836rvIgqbkGvGotcQjyap29eWdgfzNHV2K9KZ1JRMkdzBSqZkY3aMHBc4mWOD3CCQGKx8aHcvbBeDba3xsr3Ow4zETm5Rv8m5yo0oFdL/+aCihNXZV7DXMAtjxbucr/yM+cp9na9XtADFtIthykXgKD2qzzhY1LSG+OnLO1i1twWQhLm/unQ6S8Y5h/R924IxHlldwaOrK9Pi5XKnia+eNZ6LZhWi7ufM+kA0wdUPfsr2Oi9FdgMv3LmEvCGq8/pDPJaUwkk2h9KiME+TJBCLBOI9nqdQgCVb38E5zIg93yiFozEdfTiankJEGjQqPjc9n+XzijmpDyEiB0PgpVEpKLIbKHYYKXYYUouRXIuOlkCUSlfKnSXl0NIW6jnfAHJSrmFS6K6USCzl1CKLw7oi1xsZ2vNi00mL0be1AWBd9jlyv/9/aPKO4vleSELteskZbPer4KnK7FOooOwUsOR3FXVFPAObuNKO2gAGh7QYs8Bgz7w2OKRrf/B7KXTxuLPgC0+Ctv/i5M8Oubnr6c00+aLo1Ep+duE0rl5Y0uOzvCimBqbqJFGYuy6Iuy6ApzHUo5uiOUsnuYQVmrHmG9gdirBibyOfVbeljyl2GLhm0RiumFfSZydkURRZubORX72+m9o2abB/fqmDn104jRnFtn7mxOCzrdbDrY9vpNEXwWbQcN+1c1kyfmjrZ5meSQoi9Z4wVe4QFe4gVa4glSkHsUZvBEEUEUQRUZQioood0u3bh4ovnjyWH18w5ZhNBpLrDgk5H45fYuEErtoALTV+WusCKSFzsEdnHa1elXa1TLtbFprlMJIyMink8jLDcORFuzDMXRfAXReQRK+1AUns2s3zSbtbWLsgTHYLk5GRGQ7kukNCzgcZGRmZviELwEYR7V/Wrx84hS/qi7C4FETqQoRrAoSr20h4us7KUxp06CeMwTB5HIapEzFMn4I6ryAl9EoJvjQGUGnpk1Is1ApNO6F5FzTtgKZdUjreNVQYAKaclCCsg2NYzmTpPY8Ruxt8PL2umhc216UdPlRKBWdPzuXqRWM4bULOUblsuQNRNlRJoRzXV7axo87bRdRk0qqYW+pgQUrsNbvE3mtYlde21fO1/21GFOHb507ka2dPGPD9jUTWHHRx83/WE00IXDSrkJtPLmN/U4B9TX72NvnZ3xTo1iWtnUKbnon5Fsk1LFcSiOWp1LgOeKnZ1UrtntYubgpZhaaUO1gWhRPsqE+A8JonOnKDQGJI8iERg50vIq79F4rGrenN69Xz+Gf4PD5MTgcy5eqsYhs3TNeyTL0Bw/7XoGoNnXrWCufA1Etg6kWSo+QwIooib+5o5Oev7KTZLzlWXT63mB9dMIUs0+B28LkCUR76uIIn1lYSjEll1sQ8M189awIXzCg4qrrJFYhyxf1rqXAFmZxv4ZnbFmMzjNxBl0gwjrc5zLOrDvHp1iayRSWz7Sbi3niPg0sAVqeenDFWckst5JRajloU1uiN8MLmWp7bWMuhw0JEXj63iPOm5ROIJgZd4NW+zrHo+vW9e0PxDoKwjDNLpTtEazeOfR1xmjuKwzqLxCz6wf2tiKJIQhCJJwXiCZFYUpDSqSXWcVtCIJYU0vdzLJHrjQztedFaW0v00cdoe/JJEASUJhM5X78LxzXXoFAfpYhQFKX2xO7XYM9rUvpIaEwdhFv2DoIuRzdLVua4vrQ9Dn0A/7taateMWQLXPAP6/v8O3IEo316xlQ9SYuILZxXym0un9+t/lUwItDWGcNcF0iEk3XWBHp0Uk4i0qkTUDi2TJ2czb0YuzhLLgFxYIvEkD318iH+tOkg4nkShgCvnlfDdpZPSE1aONa9sree7K7YSTQiMzzXz8I3zKc0ennC9MoOLKIoIYkogRmdxmNCdaEwEka7nIEq/k1+9vhuQnt1+f/mMfovoB4Jcd0jI+XBikRZQ1AdTddWRBcxGm5bswpSjZcotzFFgQqOV+2ZkTizk8jLDSMqLeDQpTciolRZXnbTuya3XYNV2EoU5i83Y82S3MBkZmaFhJJWXw8mJlA+xhECTL4InFGdCnvmYRimRkZEZ/cgCsFFE+5c15b4p6Iw6lpUv44apNzApaxIA8aYmwlu3Etm2jfDWbYR37kQMdRVmqQsLMMychWHmTAyzZqKfOhWl4SgEWYIAnkpJGNaUEoY17wL3QbqdOqNQQta4lCCsg2OYvRSUQ9dICseSvLFdcgXbUJWZIV9kN/CFBSVcOb+EfFvvDimiKFLlDqVDOa6vau00QNxOnlXH/LKstMPX5HxLvzufH11dwc9f3QXA7y6bwVULx/Tr/JHKpuo2rnvoM0KxJOdOzePea+ei6SZvvOE4B5r97EsJw9oFYu2CjO4odhgkUViOiTI0mNvihKqDuGr8nX6KKo2Sogl2CsbbJAeFIjOWbP1x6bR2InMiNQh6Y1DzIdQKGx6Bdf+GQKO0Ta2HWVfBSXdCziRCsQQ7631srfEQiCb43PQCJuVbOl/H3yg5v+x6GapWd3Z1yZ8JUy+WBGHO8Ud3v0eBLxLnj2/t5b+fVSGK4DBq+OGyKSyfV3zUZUWzL8IDHx3iyc+qiMSlzz61wMpdZ4/nvKn5g+ZYUdMa4rL71tDij7KwLIvHb1k4ohuLr22r56tPbQbgt5fN4OqFYxBFkZAvlnILC+FpDuNpCtFaH8Dn6l4obM0xkDvGQs4YiyQMG2NBZ+yfoEkURTanQkS+eliIyN4YbIHX0eANx1OCsBCVrmAqhJeU7i6ca0ecZi2lqbCSBo2KWKJdrHWYeKuLmEtMHxtLibnazxkIZ03O5dbTylk0NuuY1NFyvZHh8LwI79xJ492/ILJtGwC6qVMo+NnPMMyaNXhv2noI9r8DyVgPYi57v0Mz9pvqT+HJK6Rwk4Vz4LoXeg5L2QuCIPLvjw/xx5V7SQgipdlG/nXNXKYXDdxJK54UeGtTPa9/UkVjtZ+cpBJnUkGuoER7uDN0Cq1BnR5k70sYyY40eMP8/s09vLRFcoC26NTcdfYEblxS1qeQxIOBIIj85Z19/HPVAUAqE/521exBF6nKHD88v7GW7z2/jaQgcu7UPP5x9Zwhf/aR6w4JOR9kQBIwS8/qkiDMXR/s9bkdBdichnT4yPa1PdeA8hgIOGVkhgO5vMww0vNCFEX87kjaKax93atbWIEJZ5HkEtYuEJPdwmRkZI6WkV5eHiuOh3wQRRFfOEGjL0KjL0KTN0KDN5X2RWj0SuuOfbeD0ackIyNzYiELwEYR7V/WNc9dw7bAtvT2JYVLuHHajSwuWNxpcExMJIgePEh461bC27YR2bqN6IEDdIm3oFKhmzRREoTNnIVh5gy05eUojlaMFQtBy57DHMN2Qsjd/fEakyQK6+gYljt1QIMuR2Jfk5//ravmhU11eMNS+CSlQhpUuHrhGM6YlItKqSCRFNjV4GN9ZcbhyxXoKkCakGuWBF9lkstXscMwKAOVf1y5h3+tOohSAfdfN4/zpuUf9TWHk531Xq5+8FN8kQSnTnDy7xvm97tD3hOKsb9ZEoPta5QEYvub/bgC3Q9mKxQwzmpgtlZPcVSBzhVDCHWdvZUOU1BsxlmU6nzs4wCZzMjkeGgQDAaDkg8te+HT+2Dr05BIuU2a82Hhl2HezWDKHvgNBlpgT0oMVvExiB3+n3nTU2Kwi6Uww0dAFEWiu3cT2bULy9KlqMzmgd9Xis3Vbfzghe3safQDsGhsFr++dAbjc/t/7XpPmPs/PMjT62uIJSRBzKxiG187awJnT8kdEoHLrnofX3hgLf5ogvNSottj4YbRX7bUePjCA2uJJgRuOWUsP/n81COeEwnGaan201Ltp7nKR0u1v8fBJVuOQXIIG2Mht9QqicL6WL5H4kneToWI3FjZSo5FNyIEXkeDLxKnqj2cZCpsV7t7WE/16WCjVSvRqpRoVAo0KiUalRKtWnqtVCjY2+RPP7LOKrZx62njOH9a3pD+fuV6I0N3eSEmk3hWPEfzX/6C4POBQoH9yivJ/dY3UdmOo06o+i3wxKUQbpXaIte/BJa8AV1qY1Ubd/1vM3WeMFqVkh8um8yNS8r6Vd7XtIZ4en01z6yvTbdDFAo4Y2IO1y4q5fSJTsLeWP/CSDp0ZBVKEyDMDh0Whw6zQ485S4fZrkelyfzPNla18vNXdrG9zgtIIYp/8vmpnDn5KEKB9oFgNME3n9nC27uaALjt9HK+d/7kUVHGygwv7+xq4itPbSKWEFhcns2/b5w/pGGP5bpDQs4Hmd6IRRK0NgTTwrD2ddjffThzpVoKudYuYs4qMGHPN2LN1svCMJlRj1xeZhitedFftzCjVZvqb5b6nbMKTTjyjXJ0ChkZmT4zWsvLwWak50M8KdDsj6ZFXOn1Yen2CeFHQqtWolEqCMaSaFVKfnrhVK5dNEY2spCRkTkisgBsFNHxy6qOVfPYzsd4u+pthJRzykTHRG6adhNLy5aiUXU/KzoZCBLZsYPwtm2Et20lsnUbiZaWLscpzWb0M6ZLgrBZMzHMnIna6Tz6DyGKEGiG5p0px7DU0rJHmu3fHUo1KFSgVKXWysNeH5bux7FJlDQH4lS3RXGFEggoSaJEp9GQNDp531fMuvhYasUc2sOZaVQKZhbbmV/mYEFpFvNKHTgGOSxYJrtEvv/8Np7dUItOreS/X1rEgrLBF8QdCw40B/jCA2txB2MsKHPw2BcX9hoGs7+0BmMpp7AOrmHNga4hsERwCgrKEkomavUUoELlTyD2MEBmydKTXSy5JrS7hcmzUUcHI71BcKxoz4f7Pr2PcfnjKDQXUmQqwqaz9d5YEEU4+D58ei8ceDezvWAWnPQVmHYpqAe57Au6Ye/rsPMlqPgQhA6uSzmTM85guVM6hS2OHjiA74038b3xBrHKSgA0JSUU/emPg+JOE08KPPJJBX99dx+RuIBWpeT2M8Zx5xnj+iRirWkNce8HB3luYw3xpFTWzC918LWzJ3DaBOeQN9o+PeTmhkfWEUsIXL2whN9cOmNENRTrPGEu/udqXIEoZ03O5d83zB/wAH8kIInCmqt9KWGYH7+7B1FYbrtTmBRC0tkPUdjxjD8Sl5zCUo5hSUFMCbQUKYGWMvO6Pa0+7LVKiVat6HBsSuyV2qZWKo74GzzUEuChTyp4bmNtWjBZkmXgy6eWc8W8EgxDEC5Irjcy9JYXCbeb5j/+Ce9LLwGgysoi97vfxXbJxSOqbOkLoiAQ+uwzvC+/AqKI9YJlmJYsQdF6AB6/WHK7zCqHG14Be8mA3sMTivG957alhUznT8vjD5fPwtaLM2EiKfD+nmaeWlfNh/ta0mLIHIuOL8wv4aqFJRQ7jL2+b3/DSHbEYNFIgjCHDnOWHpNdx862IE/vrKMmGiegEDljcg4//vxUxuUcvdj6cGpaQ3z58Q3safSjVSn53eUzuGxu8aC/j8zxy5qDLr782AaCsSQzi208evPCQQ/l3Y5cd0jI+SAzEEK+WLqOaq2XHMPc9cEeQ8ArVQpsOQYc+SbseUbseUYc+dL6aMLAy8gcS+TyMsPxlBdd3MJSwrCe3MIUCrDlGiWX3kIpNG5WoQlbjtznLCMj05Xjqbw8GoYrHwRBxB9N0NyNmKvRG02nXYFoF/+VnnAYNeRZ9eTb9ORb9d2mHUYN3nCc76zYyru7mwG4cFYhv71sxpBOcpKRkRn9yAKwUUR3X1atv5Yndz/J8/ufJ5xyZck15nLdlOtYPnE5Fq2lt0siiiKJxkbC27anBWHhnTsRw+Eux1ovuID8u+9GZTYN/odLJqD1YMolbFfKNWwneKoH/70GgF9pw22fjrpkAbmTF6Mds+DoHG/6QSIpcNsTG3lvTzNWvZoVty/pGk5thFPtDnHFA2to8kWZUWTjyS8vwnqMQre4AtGMW1hzIC0Qa3d+A1CKMFan5WSnlfE6HZaIiK8x1OMAmUqtxFFgTM/caheGyZbeIwu5YSTRMXywypARTJg0prQYrNBcSJG5iCJzEYX6bIqqPsO6/j/Qsjt1tAImXyCFeSxd0kl8NWSEWmHvm5Iz2MH3QegwOzx7ArGcs/DVmPB9vInovn3pXQqdDqXZTNLtBrWanK/fRfYttxy9qyXSgPRPX97Bqr2ScLrcaeJXl05nybjuBdIVriD/WnWAFzfXkUyJTE8qz+KusyewuDz7mAol3trRwJ1PbkIQ4a6zxvOt847sqHYsCEYTLL9/LbsbfEzOt/DcHUsGvQHbSRRWlRKFtfYiCks5hLWHkdTKorBhxRWI8viaSh7/tApPSCoHHEYN1y8u48bFpWSbBy8koFxvZOhLXoTWr6fh7ruJHTgIgGH+PAp+9jN0EyYcy1sdEPGmJrwvvojnueeJ19Z22qfKcWK78CJsZ85D/8nXwVsNthK44WXIHjeg9xNFkUfXVPKbN3YTT4oUOwz84+o5zBnj6HRcgzfM0+tqeGZ9DY2+TDl16gQn1ywcwzlT87oNnd4fIsE4rfVB2hqDBNqiBFoj+NuiBNoiBNqiJPswE1VAJKgAv1LEmWtk1qRssnOMkmAs5SRmtGhRDEDM+9khN3c8uYnWYIwci44Hrp/H3MPySUamL2yr9XDjI+toC8UZl2PiiVsWUWg3DPr7yHWHxLHOh0g8ya4GKex8s1+aRDC/1DHqhMgyXREFEX9rRBKD1QVorQvQ2hjC2xQi0UsdZbBoJEFYnhF7vkla5xmxOmXXMJmRhVxvZDgR8qLdAdFdKwnD2h0Qo6FEt8e39zlnFZrILpTcwrIKTViy9HIdJyNzAnMilJd9YSD5EIknCUQT+CMJApEE/kgcXySR2haXtqX2+yPx9LHpfZEEgViiz8IujUpBruVwMZdOWlv1FNgM5Fp1/YqMJIoiD31cwe/f2kNCECl3mvjXtXOZUnDi/hZkZGR6RxaAjSJ6+7K8US8r9q3gqd1P0RKWBqZNGhOXT7ic66ZcR4G5oM/vIyYSRA8cILw15RK2bRvRAwdBFNGOG0fx3/+GbtzABj/6TdQvLUJSCgsmJEEUpLWQ6Lot/Xrgx8YTMQ40+lD5aigJ70bv3oVC6MaW3lEGRfOgcK60LpgF2t5n4g+UcCzJtQ99yqZqD/lWPc/fuYSiIei8HgoavRGueGANNa1hJuaZefrWxUM2+7qviKJIoy/CJ/tdrNrbzMf7XPijmYa3Sqlg3hgHp5dnM9dqwhQW0q4Jvc1GNVg0khis2Ex2oRlnsRlHgWzpPVzIDSOJ9ny46/W7cOGizl+HO9JDKN4OWJIChUmBQnMRRUULKXJOTQvFCs2FRxQYDyphD+x7i/jaFfg+Wo+vUkOktUM5olJiXjgb62VXYT7zLBCSNPzsZ/jffAsA05LFFPzud2hyjz5clSiKvLmjkZ+/spNmvyQSvXxuMT+6YEq6bNvf5Oefqw7w6tZ62s0FT53g5K6zJwyri+OTn1Xxoxd3APCLi6dxw+KyYbsXgKQgctsTG3l3dxNOs5aXvnLyER1tBotwIJZ2CGup9tPSiyjMnmdMhY6UBGHZRWbZYWAYCMUSPLexloc+rqC6NQSATq1k+bxivnRqOWOdRz9BQa43MvQ1L8RYDPdjj+G69z5pAolaTfZNN+K8806UxmPzf+4rYjxO4KOP8Kx4jsBHH4EgDSIrLRZsF34elCp8r71G0uNJn6OfNAFbTiVWZw3qbKckAss7cojanthW6+GrT22mujWEWqng+0snc/PJZXx8wMWTn1bz/p6mdL2RZdJyxbxirl44hrJB+H33BVEUiQTjBFozgrBAWwR/a5SgJ7NNSB65ya9UKTDZdWlRmCVLl3YVs2QbsDr1aPWdBbb/W1fNT17aQUIQmVFk48Eb5lFgGx1tHpmRyYFmP9c/vI4Gb4Qiu4EnbllI+SC71sl1h8RQ5oMgiBxyBdla42FLjYettR52N/jSzrrtlOeYuHJ+CZfNLSLXoh/Ue5AZfkRBxN8WwdMUoq0xhKcplE4HPT27W8quYTIjDbneyHCi5oUoioS8Mdz1KUFYfVASuzYEScS6F7pq9CqyCkwppzAzWUWSQEyejCwjc2JwopaXh9OeDw++u52k2tBJpOVPCbr8aXGXJPiKJfsWbrEvWPVqSdhlM5Bv1UkCr8Ncu7KMWpQDjGxxJDZWtfHVpzbR4I2gUyu5+6JpfGFBiSwQlpGR6YIsABtF9OXLiiVjvFHxBo/tfIwDngMAqBQqzi87n5um3cSU7CkDeu/Qps3UfeMbJJqbURiNFP7ql1iXLRvwZxlVJKLQuAPqNkpL/SZw7et6nEIFuVOhKCUIK5onhSxTDY5ziCcUY/n9aznQHGBcjonnbl8yZKEnBwtXIMoXHljLwZYgZdlGnr1tMbnWkdcRG08KbKhs44O9zby/p5n9zYFO+wttes6YnMuZk3JZUp5Fwh/PCMKOZOmtVGDPNaRdwrKLzTjyjJjsOjQ6WRg2lMgNI4nu8iGcCNMQbKA+UE9d3TrqDr5NfdsB6lVK6jRqWlVH/m1atda0GKyTg1gqbdIMzmB1oqUF38q38b3xBuFNmzI7lGDKi2MtCWApjqDSimAfkwoTeSli4Ry8L75I469+jRgOo3I4KPjtb7Ccccag3JcvEuePb+3lv59VIYpgN2q466wJbKxq440dDelZQWdPzuWrZ43v4vIyXPzt3f389d19KBTwj6vn8PmZhcN2L795YzcPfnQIrVrJ07eeNOwOL+FATHIISwnCmqt9BFq7H0wyO3QdHCClEMH2PCMq2V1gyEkKIm/taOSBjw6yrdYLSKaE503N49bTxjGvdOC/I7neyNDfvIjX1dH4m98SeO89ANSFBeT/6EdYzj57qG/1iMQqK/E8/wKel14k2eJKbzfOn4/9iuVYzjsPpUESGYmxGIGPP8b70kv4P/gQ4qlJIEowF4SxTVRi/t7/UI5dNOD78UXi/OD57by+vQEAi16NP5KZiLBobBbXLBrD0un56NQj71lRFERC/hiBtiif7WjitU9rifljWAQFeWoNeWo18UC8T7Nj9WYN1mw9Fqee7W1BPm7w4FWKzJ3q5FfXzMZkkAfmZY6eOk+Y6x/6jEOuINkmLY99cSHTi2yDdn257pAYzHxo9kfYUi0JvbbWeNla6+lUTraTbdIyq8SORa/mnV1NhGLSRC2VUsGZk3L5woISzpiUc9TOiTIjn1gkkRGENYXwNKbWTaFenS07uYblmdLCMNk1TGYokeuNDHJedEYURHzuSDokbmu9FB63rTHU4wQMg0WTcgkzZ8RhhSZ0spO5jMxxhVxeSrTnQ8k3nkWp69+kQ4tOjVmvxqJXY9apseg1mPVqrPpUWtd5nyV1bMd9/XHtGiragjG+9eyWdISSS+cU8atLpmOSQ0KOSh76+BD/WnUAk05NWbaJ0mwjZdkmypwmyrKNlGQZR8TvTmb0IQvARhH9+bJEUWR1/Woe3fkonzV8lt6+KH8RN067kVOKTum3KjjhdlP3rW8T+ky6nuOG68n7zndQaEe2CGlICHugYUtKFLYJajdAoLHrcRojFMzuIAqbC/bSAYdPq/eEufy+NTR4I8wZY+epL52EQTsyC39vKM5V//6U3Q0+Cm16nr198TFzdjlaalpDfLC3mVV7W1h9wEU0kekw1KqULCrP4qzJuZw1OZfSbEnkEo8mJUvvukBmqQ0SCXbjHtd+Lb0Kk12XWWztaW36tdGmlQUFA0RuGEl0mw+CAPtXwtp/QeXHmYOLF8LiOwmNP4eGcDN1gTpJJBaoS6frA/W0RduO+L52nZ1SaymLCxdzcuHJzHDOQKXsW3mVaGvD/847+N58k9Bn69IuLSgUGOfNw3rBMiznnYfarIP9b0thIve/DfFQ5iJjlsBZPyYqFFD37e8Q3S2Fs3TccD253/kOykGquzZXt/GDF7azp9Hfafv50/L42lkTBnWAcTAQRZGfvLyD/35ajUal4NGbF3Ly+O5DWA4lz6yv5vvPbwfg71fP4aJZwydE642wP5YRhFX5aKnx9ygKU6oV0ozclOC3PUywPCN3aBBFkc8qWnnwo0O8v6c5vX1+qYNbTyvnnCl5/Z5xJ9cbGQaaF/73V9H0q18Rr68HwHzmmeT96Edoi4uG6la7RYhE8L/zDp4VzxFaty69XZWdjf3SS7Bddjm68rG9XiPR1obv9TfwvvQSkR07MtfQiljPPwvb9bejnzFjQDMtRVHkqXXV3P3qLmIJAatezfJ5JVyzqITxuaMr1Hs8KfD42irueXdfWqBx0cwC7lpSjimpkFzDOjiK+Vsj+NxhosHuw960o1CAyaHD5jRgcRqwZuuxOg2pRY/RqpVnucr0GVcgyo2PrGNnvQ+LTs3DNy1g4djBcWWV6w6JgeZDMJpge51XcvZKLfXerq6seo2SGUU2ZhXbmT3GzqxiO8UOQ7ocCEQTvL6tnmfW17Cp2pM+L8ei47K5RVw5v4Rxg+z+JjPyGQzXsOwiE9nFksO7NdswoPDGMjIdkeuNDCdKXoiiyKZqD69urSeaELhhcWm/wnYlkwLepnDaMaw9jKTX1f1kZJAmraVFYUUmsgpMOApMaEboOIKMjEzvnCjl5ZFoz4cb719FtsORFml1FG21i7rMusxrs1Y9ZK5cw4EgiDzw0SH+9PZekoLIuBwT9147j0n5o6s/6URGFEV+99YeHvjwUK/HKRRQaDNQmm2kNFsShUniMBNjsowjVh8gM/zIArBRxEC/rN3u3Ty26zHeqniLpCjNiBxvH88NU2/ggvIL0Kr6PjApJhK0/P0fuB98EADDnDkU3fNXNHl5/fswxyO++oxLWN1GqNsMMX/X44zZGYew9hCSpuw+v82+Jj/L71uDL5LgrMm5PHD9vBE3ozUQTXD9w5+xudqD06xjxe2LByU003AQiSdZe8jNqj2SO1htW7jT/nKniTNT7mALx2ahVWe+i7Sld53kEtYuCvO5w8Qj3YeR7IICDBYtZrsOk03bWTCWEomZ7Tp0JrU8CHYYcsNIolM+6JSw9X/w6X3QelA6QKGSXLMWfwWK5/fpmsF4MC0G6ygOqwvUUR+sxxv1djnHqrWyuHAxpxSdwsmFJ5NjzOm0PxkI4H/3XXxvvklw9RpIZAaG9bNmYlu2DMvSpT3XN7EQHHgXdr0Eu1+DZKpDf9xZCKd8n+b/vU/b408AoJs8maK//BldeXmfPu+RiCcF/rO6goc+rmDh2Cy+etZ4JueP3N9cUhD52v828cb2Rsw6NU/fetIxFaqtPejm+oc/IyGIfOOcCXzjnInH7L0Hg2gojrs+iLs2kFnXBYgfKTxwuzBMDg886Oxr8vPvjw7x0pa6dDio8hwTXz61nEvnFPV5ppRcb2Q4mrwQQiFc992P+z//gUQChV6P8447yL75piGfOBLZvRvPiufwvvYags8nbVQqMZ16Cvbly7GccQYKTf9dpaIHDuB9fgXeFU+SCGT+69rycmyXXILtogvR5Of3+7oHWwLsa/Rz5uTcUT+jzxWI8ue39/H0+mpEURJr3HH6eG47vbzbzxYLJ9ixv5U/Pb+DmDdOtkLJSbk2dFEBnzvSq2MLgEqjzIjCsvVYnIaUWEzaJrseyByOLxLnS49uYF1lKzq1kvuum8tZk4++H0OuOyT6kg+JpMDeJr/k6pUK57i/2Z8OfduOUgET8yzMKrYzq8TOrBIbk/IsqPvY73Gg2c+zG2p5YVMtrkAsvX1+qYMrF5RwwYwCeYa8zIBcwzQ6Vdr911mccXk/PKSxjExvyPVGhuM9Lw40B3h5Sx0vb6mnujXUad+yGfl8/eyJRzVYH48laWsIZsJIpgRigbYeBK4KsGbrySowkVUoCcKyCkw48k1ylAoZmRHO8V5e9pX2fKh89FEcOTkoTSZpMRozaZMJhV5/QoyVrato5Wv/20STL4peo+SXF0/nivklw31bMkcgKYj86MXtPL2+BoDvLZ3EgrIsKl1BqtwhKt1BaXGFCER7nzxZYNOnXcNKs02MdUpCsdJsI0at3EY5kZEFYKOIo/2yGgINPLn7SZ7b/xzBeBCAHEMO10y5hismXoFN1/fBX//771P//f9D8PtRZWVR9Jc/YzrppH7f03GNIIB7f8YlrG4jNG4HoRtHKEdZRhBWfgbkTev10hsqW7n2oc+IJgSumFfMH5bP7PcDjSiKJD0eEs0tJFpaEAIBdOPHoR07FkUfwr/1RCSe5Kb/rOPTQ63YjRqevvWkES2E6A+iKHKwJcD7e5pZtaeF9ZWtJDr0Vpu0Kk4e7+SsybmcMSmXfFvP4S5jkQRBT1RavDGCnigBT5RQah30Rgl5YgiH94b3gEqtlJzDbD27iZkdOtQnkCJcbhhJpPPhxe9h3fM/iKTEWTobzLsRFt4K9sFtGPhjfuoD9exy72J1/WrW1K/Bf5ggdpJjEqdlL+TUaiPZq/cQ+uhjxFhmgEY3ZQrWz30O67LPoS0u7t8N+Orhoz/CpsdBSD0kT7oAv2EpDb+/n2RbGwqDgfwf/RDb5ZefEA3Cw4kmktz0yHrWHnLjNGt5/o4laUfDoaTCFeSSf63GG45z4axC/n7V7OMi/0VBxN8awVXbwQWyLoinOdR7eODizm5hZofuuMiP4aLJF+E/qyt58rOqtBOR06zjpiWlXHdSKXZj7+Ijud7IMBh5ET1wgMZf/DLtwKUdN478n/4U06KFg3mrJP1+fK+/jmfFc0R27kxv1xQWYlt+OfZLL0VTUDAo7yWG/QT/cAXeNbvx1xoQk6n/q0KBafFJ2C65BMs556A0jg7X26FgR52XX7y6i3WVrQAU2Q38cNkUls3I71S+rdrbzF1PbcYfTVBkN/DQjfPTTgiiKBLyxfC5IvhcYfzucDrtc0UItEWOGGJSZ1Sn3cKs2dLaUWDCWWxGZ5RDS56oROJJvvLkJt7b04xaqeDPV87i4tlH51Ao1x0Sh+eDKIrUtoXZWutJh3PcXucl0o2wptCmZ1aJndklkuBrepEN8yAItOJJgff3NPPs+hpW7W1OC81MWhWfn1nIlQtKmDvGLj97yXSio2tYu6jCXSuJKpKJ7oVhVqc+IwqT3cJkjoBcb2Q4HvOiyRfh1a31vLSljh11vvR2o1bFeVPzSAgir29vQBQlV4/Pzyzk62ePH1QX4Ggo3kEUJgnD3HW9RKlICcPaBWHtAjF7nlEWuMrIjBCOx/JyILTnw7rxEzD3NoapVHYRhXUWihm7bFN1e9zIF5S5A1G+8cwWPt7vAmD5vGJ+efF02RlqhBJNJPnWM1t5fXsDSgX85tIZXLVwTLfHiqJIazBGpTuUEocFpbQ7SIUrmO777olciy4dSlISh5nSTmKD0d6WGdnIArBRxGB9Wf6Yn+f3Pc8Tu5+gOSSFzDGoDVw+4XKum3odRea+dYDGqqupvevrRPfsAaWSnG98g+wv3YJCObLcqEYUiSg07ujsFObef9hBCrjyMcmRpxfe2dXEbU9sQBDhzjPG8b2lkwHJpS3hbiXR0kKipTm1bl9cmbTLBfGuDT+l0Yh+2jT0M2dgmDED/fQZaIoK+/SAE0sI3PbEBlbtbcGsU/PUlxcxs9je19wZdfgicVbvd0mCsL0tuAKdZ1hNLbBy1uRczpycw+wSB6p+dv6Jgkg4EE+JxKIZwZgnSsATS2+LBHoOM9kRhQKyCk3kllrJLbOSW2ohu8iMSn18/mflhpFEOh/+z4JVp4CscjjpTph1NeiOTRiUhJBgh2sHn9R9wtqqj9Cu38nJu0TmHRDRd/j5Roqd2JZdQNElVw6OO1drBXz4B9j2NIgCoCBe+nnq300Q2rgVAMvnllJw992oTsDfiC8S56oHPmVXg48xWUaev2MJORbdkL2fJxTjsnvXcMgVZHaJnadvPWnUO94cifYZuZ2EYb2EB9Ya1GlXgfZBpKxCk9zp2k/8kTjPrK/h4U8qaEiFkTJqVVw5v4RbThlLSVb34hy53sgwWHkhiiK+V1+l6fd/IOl2A2C96ELyvvc91M6Bh58VRZHwpk14VjyH7623ECPS96zQaDCfczb25csxLV48NO2SRAyev4Xktlfx1xjx+mcS2l2V3q00GrEsXYrt4osxLph/QraNRFHktW0N/PaN3elQbovGZvGzC6cxpcDCw59U8Js3diOIsLAsi/uum0u2ue/1TzIpEGiNZERh7ow4zO8OE/b3/mxsdepxFltwlkjlrLPEIgtwTyDiSYHvrtjKS1vqUSjg7oumccPisgFfT647JNrz4fcvb2Jva4KttZ5O7lvtWHTqtKvXrGJJ9JVr7Xni1GDR5Ivw/KZaVmyopcIVTG8fn2vmyvnFXDa3GGc/yiGZEw8hKeBpCksO76lne1dtoMdQkt26hRWZ0coOlSc8cr2R4XjJC18kzlvbG3l5ax1rDrrTExXUSgWnTczh4tmFnDs1L+3EsbfRz9/e28cb2xsBqb/24lmF3HX2BMqHMFxxyBeTHMPal/ogbY3BXp+dLe2OYakQklmFJhz5sjBMRuZYc7yUl0dLez7svPmLmOJxhGBQWkKh9HpIUCpR2WzYLr6Y7NtuRe1wDM37DBBBELn3gwP85Z19CCJMzDNz77VzB1VcLHP0BKMJbv/vRj7e70KrUvK3q2bzuRkDm7AqiiKeULyTW1hHgZgn1Hu/mNOsoyzbiEmnRqVUoFQoUCsVUloppZUKBSolqJRKVEpQK5VdtqkUinS683mptFKROqbz4jTrGJdjxmnWyn1xQ4QsABtFDPaXFU/GeavyLR7d+Sj72vYBoFQoOa/0PG6adhPTnL27UAEIkQiNd/8C74svAmA+6ywKf/fbE3IgfcCEPVC/Geo3wYH3oeoT0NvhjjVgy4jxhFiMZEq8FU+tt209yOYtB8iK+Jimi2MNe0m6WyX3sT6isttR5+SgMBiI7t+PGA53PcbhQD9jOobpM6T1jBldBu0SSYG7nt7MG9sb0WuUPP7FRSwcmzXQXBl1CILIznofq/ZKoSK31no6ORPYjRpOn5jDWZNzWVyeTY5l8AaZknFBEoOlnMQyzmIZh7GAJ0qim/BkSrUCZ5E5JQizkltmwZFvOi5iossNI4l0Ptx7HtazvgETzodjPBgtxuMEP/0U3+tv4H/vPQR/xg2sxaHkk8kiq6cqqc4BFArKbeWcXHQypxSdwry8eehURzkY07IXVv1GCg8JiKhwe5fQ8nYlJJNoCgsp/NOfMM6dc3TvMwpp9ke4/L411LSGmVZo5elbT8KiH3xnlHhS4MZH1rHmoJsiu4EXv7KEXMvQD/aNRHoKD9zWGERIdv8YbXXqsecaseYYsOUYsDpT6xwDGnlGV4/EkwKvbavngQ8PsadRKndUSgXLZhRw22nlXUKfyvVGhsHOi6TXS/M99+B5+hkQRZRWK7nf/Ab2K6/sl/Nswu3G+9LLeJ57jlhFRXq7dvw4HFdcgfWii45NR1wyAa98VQqrjILYwp/hrdDifell4jU16cM0RUXYLr4I28UXoy0tHfr7GmGEY0ke+Ogg9394kEhcQKmAmcV2ttR4ALhqQQm/uHh6pxDqg0EsksDfQRTmc4XxusK01gXxt0a6PUdnVKcEYZb02lFgRNXHkHMyowtBELn71Z08tlYSb3773Il89azxA2qfyXWHRHs+lHzjWZQ6SWitUSmYUmBNC71mldgpdw5vW1MURdZVtPLshlre2N5AOC61kdVKBWdPyeXK+SWcPjGnz+EmZWQigbj0TF8bSK/74hbW7hSWXWTG5pTdwk4k5Hojw2jOi2giyao9Lby8pY739jQT6/Cfn1fq4JLZhSybUdDrJIdd9T7ueXcfb+9qAqQQyJfOKeaus8cfE4f2dsL+WEYQ1kEg1qswLEufFoRlFRjJKjDjKJCFYTIyQ8VoLi8HkyPlgygICKFwSgwWRAiGMiKxjkKxvm7rRlCmtFjIvvXLZF1/PUr9yOrbXnvQzV1Pb6bFH8WoVfHrS6dz6Zx+RlaRGRI8oRg3P7qezdUejFoVD14/n1MmDHxibF/eLx1OMi0Ok0JMuoNdJ2oNFzaDhvG5ZsbnmBmXa0qlLRQ5DP02VJHpjCwAG0UMVSUviiJrG9by2M7HWFO/Jr19ft58bpp2E6cWn4pS0XPnlyiKeJ57jqZf/goxFkNTUkLx3/+GfsqUQbvHE4V4TRX+X19BorGehLqQhGU6CVcLieYWkl5v3y+kVKLOzkadkyMtuTmZdMfF6UShzYRDEhMJogcPEdmxnfC27US2byeybx8kulpJqgsKMEyfjn7GDHTTpvHrgwqe3tWKVqXkoRvnc9rEnMHIklGLOxDlw30trNrbwod7m/EdZsfpMGqYkGthQp6ZiXmZ9VDNOhZFkaAnRnOVL7X4aa70EQ11/W41OhU5YyzkllrSwjCrc+Ta3PaE3DCSOFb5IIoiJBKIiQRiPI4YjxPdfwDfm2/iX7mSpMeTPladlyeFd7xgGdppU9nTuodP6j5hdf1qtrZsRRAzHWd6lZ4F+Qs4uehkTi06lTHW7i1x+0TDNlj1a9j3FgDhVgN1G4uIu0OgUpHz1a+QfeutRxUGdzRS6Qqy/P41uAIxFpdn8+gXF6BTD14eiKLID1/cwf/WVWPSqnjujiXpMF8yGZIJAU9TKO0U5qoN4q7r2VWgHZNNmxaGtYvCbE4jthwDOpN61JXdQ4Eoiny838WDHx3ikwOu9PYl47K59bRyTp+Yg0KhkOuNDgxVXoS3baPx53cT2bULAP2MGeT//GcYpvU88URMJgmuXo1nxXP4V61KP5cqjEasyz6HY/ly9LNmHfvfuiDAG9+BDQ9Lr8//DeJJdxLetAnvSy/he/MthEAgfbhhzhxsl1yC9XNLT7jJMnWeML99YzevbWsApMGtn3x+KjctKTvm31skGMdVG8BV40+tA7Q1BLsNu65UK8gubHcJk0Rh2cVmdLJ7y3GBKIr89d39/P09yZH7iyeP5ccXTOm3OEmuOyTa8+H2hz9i4aRiZpfYmVJgHVK313hTM23/fYLQuvVoxoxBP3ky+imT0U2Z0icxsD8S57VtDTyzviYtTAUpVMbl84q5cn4JY53HbgBe5vihv25hap2K7EJTWhDmLDaTVSTXN8crcr2RIZ0Xv5mM1WqTXOq15tTa0vW11tRhm6XDvtRr1dCG+RYEkU8r3LyypZ43tjd06uudkGvmkjlFXDSrsEfH6Z7YUeflnnf38e5uKVKLSqng8rlFfO2sCf2+1mASDqQcw+qDtDaEaG0I0NoQIuzreeDYnKXr7BhWYMKWa0Bv0hz3fRMHmgN85clNxAWBc6fmsXRaPrOK7cfFJGuZ4UeuOySOdT50FJRFdu2k5Z6/Ed27F5DGN3Lu+hq2Sy4ZUWMJLf4o33hmM6sPSC78Vy8s4WcXTjvuo3CMZJp9Ea5/eB17m/zYDBoevXkBc8YMn4ucNxyn2h2iujVEOJ5EEESSokhCEKV0+yJ2SAsiQodjEt1sO9J57el4UqTBG6a2LUxPiiKdWkl5jplxOSlRWK6ZcTlmxjpN8m+5j8gCsFHEsajc9rbu5fFdj/PGoTdIiFIjZqxtLDdMvYGZOTMxqo2YNCaMGiNaZWdrvvCOndR9/evE6+pQ6HTk/+xn2C+7dEju83gkvGMnNbfc0qvQS6HRdBF1qZw5vFEX47W6OD6TlZ/eeDpL5o0ftIcOIRolumcP4e07iGzfTnjHDmKHDtFdyVxjziFr7mzKT1mAfsZ09FOmjDgV/HCQSApsrvFIoSL3NLO3yd9jxZZl0jIhVxKDTcwzMyHPwsQ8C1kmbfcnHAWiKOJzhWmu9NNU5aO50kdLTaBbpzC9SdNBECatTbaRHSJDbhhJtOfDob/9DbNaLYm04nHEWLyTWKtzOg5HPCaTpn3dC6rsbKznn4d12TIMc+f2GBLLG/XyacOnrK5bzeq61TSHmzvtL7GUcHKh5A62IH8BRs0AOsNq1sH7v4KKD0nGFTRuzMJXKf2ejQsWUPjHP6DJz+//dUcxO+q8fOGBtQRjSZbNyOcfV88dtFkWD318iF+9vhuFAh66YT5nT8kblOueKEQCcdz1AbwtYbwtYXzta1e4WxFvR7QGdSfHMFuuAZtTEomZ7boT0mlgR52Xf398iNe2NZBMCT4m51v48qnlnD7WTE6244SvN2Bo61AxmaTtf0/Tcs89kkBKqcRx9dXkfOPrqCwZe/pYbR3eF17A88ILJBob09v1s2ZiX74c6+eWoTIP88C8KMK7P4PVf5Nen/kjOO27oFAgRCL433sP70svE1y9Ou3Qq9BqsZxzNrZLLsG0ZAkK9YkzuLuuopWn11ezfG4xS8YP3UzH/pKMC7Q2BHHV+nHVBNICsVik6zMxpEJIlljS4SOdxWY5hOQo5pFPKvjFa5Io9fK5xfz+8hn9cn+S2xwSxzIfogcP4n7kEbyvvAo9tEHUeXnoJ09GN2Uy+slT0E+ZjKakpMc2yL4mP8+ur+GFzXW0dpgRvXBsFlfOL2HZjPx06C4ZmYHSX7cws0MnuesUmskuTIVeKzDJDsCjHLneyJDOi/+zYNUNwnOUSpcShJm6F5B1fG0pgNwp4JwIGkOPlxRFkV0NPl7eUs8rW+pp9GXcZPOtei6aXcjFswuZWmA96mfBrTUe/vruPj7Y2wJI7pRXzC/mK2eOp9gxfEKww4kE4pkwkh2cw0K9CMM0ehVWpwFrtj41aU3qp7A69Viy9ahH+WDu+spWvvTYBrzhzs8leVYd50/LZ+m0fBaOzZIdRmUGjFx3SAx3PojJJN5XX6Xl738nUS9NcNNNGE/ON7+F+cwzRkyfQFIQ+cf7+/nbe/sRRanf895r5w5pmGGZ7qlyB7nu4c+oaQ2Ta9HxxC2LmJQvh+YEiMSTHGoJcqAlwIHmAAdbAhxsDnDIFezkrNoRpQJKsowpxzBzZp1rxmYY2okAow1ZADaKOJaVW2Owkaf2PMWKvSsIxAPdHqNWqDFoDJIgLCUMy4pq+PyThyjdKbkrVJ85mcovnoXBaMOoMaaPNWqkxaQ2pbcb1IZencaOZ0KbNlNz660IgQC6iRMxlVtQN6xCbVSgvvx3qCctQp2Tg9Jm6/YhIimI3PW/zby+vQGTVsUzty3uEtZoMEkGAkR27iK8fRtb3lmLet9u8sJtXQ9Uq9FNmJByCpNCR+omTDihBrq6IxJPcqA5wP5mP/uaAuxvktY1baEehWFOs5YJuZ1FYRPzzNiNgysMEwSRtoag5BJW6ae5yoerNtBtWDKTXZcWg+WVWskptaA3jZxKdrgbBCOF9nxYN34C5mM8G0Vlt2M+52xsy5ZhXLiw3/99URTZ17aP1fWSGGxT8yYSQkbwolFqmJc3j1OKTuGUolMot5X3r6FV8RG890vEmnV4Kw00brQjJhSobFYKfv1rLOec06/7He2sPuDipv+sI54UuWFxKXdfNO2oG67v7W7iS49vQBThxxdM4Uunlg/S3cqA5GTTURTmbQmlXwe9vds5q9RKrM4Ona8dXcSyDag0x/czWW1biEc+qeTp9dWEYpLIw6lNsvGXF5/w9QYcmzo03txM8+//gO/11wFQ5TjJ+973UWjUeFY8R3DNmvSEA5XNhvXii7Bfvhz9pIlDcj8DRhThoz/Bql9Jr5fcBef+AjqUn/GmZnyvvYr3pZeI7j+Q3q7KcWI55xy0Y0rRFBSgKSxAU1CAKju7R5GCzLFBFEX87giumgAtabcwP4G27t1b9CZNyiUsIwqz58shJEcLz2+s5XvPbyMpiJw7NY9/XD2nz7NK5TaHxLHIh9CmTbgfepjA+++ntxnmzcN+2WUkWpqJ7N5DZM9u4lXV3Z6vNBrRTZ7cSRimmzC+06S1WELgvd1NPLuhhg/3tdBuDmjWqblwViFfWFDCrOLu+2VkZAaCkBTwNIc7icLcdYEe6xsUYHMayCo0kV1kTgnETNhzjagGOaSyzNAg1xsZ0nmx6wOsOhGiAYgFIOpPrQOd1522dTgm2btrdq8olJBVDjmTIXeqJArLnUqNooBXdrTw0uY69jdnxkYsejXLphdw8ZxCFo3NHpLwRJuq2/jrO/v4eL80vqJRKfjCghK+cuZ4Cmw9i9WGm0hQEoZlXMOCtDWGjuhqDlIfs9WpT/dNWLP1kkAsx4DRqh3R9e7r2xr45rNbiCUEZpfYufnkMt7d3cz7u5sIxjITSuxGDedMyeP8afmcOsEpO5jI9Au57pAYKfkgRKO0PfkUrgceQEgZehjmzyPvO9/BMHv2sN3X4Xyy38U3ntmMKxDDpFXxu8tncuGswuG+rROGPY0+rn94HS3+KKXZRv57y6JhdfYcLSQFkZrWEAdTwrADzYG0SMwf6XkyvNOsY3w6jGRGGJZvHX3RrQYDWQA2ihiOyi0QC/DC/hd46eBLuMNuwokw4US413MUosila0Su/EhACRzKhz9fqqLFfuQ/mEHdWVBmUBsotZYyL28e8/LmUWQuOu7+qMFPP6Xmzq8ghkIY58+n+P77UZmM8PS1sPd1cE6C2z7sdTYSQDSR5Ob/rGfNQTdOs5bn71hCafbQuiL84739/PmdfQD84ZwSlmnaOjmFJd3uLucodDr0U6emBWH66dPRjhkzomxSh4twTBKG7Wvys6/Zz/4mKV3b1vN/Lseik0RhuZZOrmGDqXZOxgVcdQGaK33UV3hprvThaw5DN6W9aFITt6sJmVR4DQrcGpGwKOIwanGatTjNOpwWnbROvc6x6Iak0TtSGgTDTXs+7Pnmt7CazSjUahQaDQqtBtrTGg0KtaZDWo1C2yGtyeyTztGmXqs7n9MhjWbw7d2D8SCfNXzG6rrVfFL3CfXB+k778035aXewk4tOxqDuQ8eYKML+d+D9XxLbv5O6NQ4ibZKw0vGFK8j9wQ9PKCfD17bV87X/bUYU4dvnTuRrZ08Y8LV2N/hYft8agrEkVy8cw28unX7c1eEjmXgsic/VURyWSfvdkW7DnaVRgNmuw5ZjwJ5vIqvAmA7fMNI7X/uLNxTnv59V8eiaSppcbdTcc+UJX2/Asa1Dg2vX0nj3L4hVVnbZZ1x8Evbly7Gccw5K3ch2HmXtvbDyB1J6/hdh2Z/hMBGXKIpEdu3C+9LL+F57jWRbNxMoSLn+FkhisHZhmPS6UBKJ5eejNMqdRsNBJBCXnMJS4SNdtX5aG0KI3ZSpKrWSrEITOSVmyUW3zEpWoUkWhY1Q3tnVxFee2kQsIbC4PJt/3zgfs+7IkxfkNofEUOWDKAgEVq3C/dDDhDdvljYqFJjPPovsL96Cce6cLuckA0Gi+/YS2b2b6J49RHbvIbp/P2K0mwFolQpd+Vh0k6dkQkhOnow6K4sGb5jnN9by7IZaqltD6VMm5pm5cn4Jl84pIts8wusmmVFLNBRPCyjc9UFa6wO464JEAt273imVCuz5RkkYlnINyyo0YXUa5PBjIwy53sgwaHmRjB8mGgtCzH+YgMzfWTzmqYbmXdDdhGYgJqo4KBayXyzmAGMwFE1n6uxFLJo7F7322Ex+XV/Zyl/f2ceag1L/ulal5OqFJdx55njyrKOnnyoRS+JvjaSczCNSP4Urk453E4miI2qNEkvKLczqbHcPk9KWbD1a/fBMNBdFkYc+ruDXb+wG4LypefztqjkYUi6NkXiSNQddrNzRxDu7mzo5jBq1Ks6YlMP50/I5a3IuFv3ImVAtMzKR6w6JkZYPSa8X90MP0fr4E+m2huW888j5xjfQlY8d5ruTaPZF+Nr/NvNZRSsA1500hh9fMFUWoQ4xG6taufk/6/FFEkzOt/D4LQvJtYyeunskIooiLYGo5BbWHOBgSzAtEOvo0Ho4Zp2acTkmxuWYKXIY0GtUGDQqaa1VYtCo0KW2pbdrVOi1ynRaMwr78WQB2ChipFRuSSFJKBEiFA8RTAQJx8ME40FCiVB6HYqH0G3cw5S/v4k2ECVq1PDOTdPYM8mYPi8Uz1xDELu38zucPGMec/PmMj9vPvPy5vXf7WWEEfjwQ2q/dhdiLIbp5JMp/uc/UBpSgoWgG+5bDIEmWHgrLPvjEa/nj8T5wgOfsqvBx5gsI8/fsYQcy9B0SD78SQW/TIXK6M7VRRRFEg0NkiBsx/bUeocU6ucwFDod2rIydOPK0ZaPQ1c+Fu24cWjLykb+YN8xIBhNpIVh+9vXTQHqPD0Lw/KsOibmWTq5hhXY9IRiCfyRBIFogkBESvtT6UA0TiCa2tbhGGmbtK99bEsjQl5SSX5CSX5SQX5SiUPoWgkKiLiVIq0qkTalQJtSpC2VDimA1N/XpFV1EYa1i8VyDntt0qr69L8fKWXmcHO85oMoilT4KtKhItc3ricmZDpTDGoDpxefztKypZxSfAo61RHKEkGA3a8gvvtrmlc10rpHskTWFWdT9I8H0E2ZNpQfZ0Tx2JpKfvbKTgB+c+kMrlk0pt/XaPZHuPRfa6jzhFkyLpvHvrhwVD4oH68ISYFAW7SLMMzbEsbrCncbCrgdnVFNVoEpLQhzFBjJKjBhso/u8GfRRJKnPt7DF8+aftyVlwPhWNcdQixG6yOP4Hrw36jMZmyXXYr98svRlpQM+XsPKhsfg1e/Dogw8yq4+F+g6n5AQozFCHzyCaGNG0k0NBJvaCDe0ECiuTkdLrI3VHY76sICNPkFndzD1AUFaAoLUTud8gSLY0QinqStIdTJKcxVGyDeTQhJlUYpCcJKrenQ6vZc4wkZkncksvagmy8/voFANMHMYhuP3ryQLFPvjsvH67N2fxnsfBBiMXyvvIL74UeIVVQAkjjWdsnFZN18M7ry/rnKiokEscrKtEtYdPceIrt39yjETYeQnDwZ3aRJ7DEX8HSdwBs7m4imwlFoVApuXFzGt8+blB7sPZ6JxJMoFQq0ssvUsBLyxSQxWH3KYSeV7q7OAUk44SjoIAorkp7h5dDFw4dcb2QY9rwQRcJt9WzesIaq3RtRufYwQVHDBEUtZkUPA4kaI+RMktzCOrqGWQs7OQAPJp8ecvOXd/axLjV4r1MruXZRKbefUT7iBpPjSYG9jX621HjYWuOhwRvhygUlXNSD44woikQC8bQYzJsWh0kCsUBrpMdoGe0YLJpUOMnDRGI5Bsx23ZA8ZycFkV++totH11QCcNOSMn7y+ak9OsIlkgIbqtp4a0cjb+9spN6b+X1pVUqWjM9m6bR8zpmah1MWl8t0w7CXlyOEkZoP8YYGWv7xT7wvvST156hU2K9YjvPOO9Hk5vbpGkJSwOeO4GkK0dYYSq2D+FrCGKxackoskut4iQVnkRmtoe/i10RS4J539/PPVZIj/bRCK/deO3fIDUROVD7c18LtT2wkHE8yr9TBIzcuwGaUhb5DSSCa4GAHt7CDqXWVO0Syt0nwfUStVKDvIBrTq1UYtKrMNo0yLR6TjlGljpFEZHlWPedMyRsS59iekAVgo4iRWrn1Rry+ntpvfJPItm0AOO+8A+dXvtJpMEIURaLJaCfxWLuYLBALsLt1NxubNrLTvbNT6C8Ah87BnNw5kkNY/jwmOSahVo6O8IK+lW9T953vQDyO+eyzKfrrX1BqD+tcPvAu/PdyKX3NCph43hGv2+yPcPl9a6hpDTOt0MrTt5406LNInl5Xzf+9sB2Ab507kbv66BAjCgKxyipJELZtO5Ht24ns2dP9TFwAhQJNcTG68nK041LCsPJx6MaVo7INXYjL0UIgmmB/U8YpbF+zFE6ywduz2nkwUCok1bRFr8GiV2PWqTHr1ViVSrKiYA4K6PxJlG0xCPcsIogroFUp0HqYMKxNKRLppU9Zr1FmBGFmHTkWbafXTrMWp0WHVogyJt85qsrMoWA01h0DIZwIs6FxA6vrV/NBzQfUBerS+0waE2eUnMHSsqUsKVyCVtXLQJ6QhO0rCDz+a+rfi5KMqFCoIO+G87B/+48o1IMbdnWk8ue39/KP9w+gVMC9185j6fT8Pp8biSe56sFP2VLjodxp4sU7T5YbOaMIURQJ++PpkJJtjSEphEOD1OnQ05O+Rq8iKy0Ky4jDLA79qBE2nCjlZV9oz4sH1z2Iw+ZAp9KhU+nQq/XptE6lQ6fWoVfpO73WKAf+fxdFEURxdIc/3P4cvHAriEmYciFc/jCo+96JL8bjJJqb04KweH0D8YZ6SRxW30C8sRHB7z/yhdRqNHl5kiisMOUedphQTGkyyYO/Q4QoiPjcYVqqA7RUS2HVm6v8xMJd7eq1BrUUVr3USm6ZtJYH5oeP7bVebvzPOlqDMcblmHjilkUU2nt2lZXrDonByoek30/b00/T9vgTJFpaAFBaLDiuugrH9df1eQClL4iiSKK5heie3Slh2B6iu3cTq6rq9nil0Yh6wkRqs4v5WHTwkeCg0lpAQa6N318+k5PKswft3kYSgiDy7IYafvvmHjQqJT+6YDKXzD7+3PlHM6IoEmiL4q4LpERhQdz1AdoaQiQT3YvKtXpVWhDWLg7LLjRhsJwY7d3hRK43MgxXXiSSAp8ccPHylnpW7mwk1CFM37RCK5fMKuCSsQI5kQrJJax5t7Ru2ddzuEmdLRU+ckpKFJYSh5mcg3LPoiiy9qAkBNtQJYmX9Rol159Uym2njxsW0ZAoilS5Q2yt9aQFXzvqfcS6KXe+ML+En180rd+C6WRSINAawdcSweeWhGHelpSLmDtMNNhzKCiQRLDWHAP2XCO2XIPkcp5rxJZrxGQfmLt5OJbk609v5u1dTQD8aNkUvnTq2D5fSxRFttd5eWtHI2/tbORQSzC9T6mA+WVZnD8tn/On5VHskF2fZSTkukNipOdDZN8+Wv7yVwIffACAwmAg++abyPriLajMktgqGk7gaQzR1hRMrSWxl6c5hJDou7zClmPICMKKzeSMsWCy9V4XfLivhW8+s4XWYAyLTs0fls/kczMKBvx5Zbry+rYGvvHMZuJJkdMm5nD/dXMxakeHZuF4JJYQqHIH0+Ekm/1RIvEkkbhAOJ5MpZOE40nCMWl7+nU8eUQRen+YXmTl15fMYFaJffAu2guyAGyYueKKK1ixYkWfjh3plVtPCLEYzb/7PW1PPQWAackSCv/8J9QOR7+uE06E2d6ynY1NG9nYtJGtLVuJJDsLXUwaE7NzZqdDRk53Tu99oH+Y8L7yCvU/+CEkk1iXLaPw97+TQqt1x5v/B5/dB6YcuGMtmHOOeP1KV5DL71uDOxjj5PHZPHLTAnTqwZmR+vKWOr7xzBZEEW47rZz/+9zko+r4E5NJ4rW1RA8dInboENGDqfWhQwg+X4/nqbKzU8KwcnTl49CWl6MbV446P/+E74j0ReLsb5LEYPuaAuxPhZN0BaKY2wVbOnUH8ZYk5LLoMmKuzP6UyKt9v16NQdM3By6AoCdKS40fb3MYT3MIb3MIT1MYf1uk2xCS7YgaBXGjioBWgUcp0CQmqYnHaRASxPr49QrRkBzKi9FbdxwNoiiyw7WDlZUrWVm1ksZgY3qfRWPhzDFnsrRsKScVntSzUCEZJ/HBA9T/9l8Ea1PnjlVS8OPvoFp8AyhHyCx/QYCQCxQqMNgH7b5EUeQHL2zn6fU1aNVKnvjiQhb1YVBLFEXuenoLr26tx2bQ8NJXTmasU55NdLyQiCfxNIVpbZAGlFobgrQ1BPE0h7sNfwag1qnIys+EkGwXiFmzR54w7EQsL3uiPS+m3DcFlaF/5YpKoepVIKZTSdu0Km1aUNbx9fy8+czOnT00H+xYsed1WHETJGMw/hy48gnQDl7nfdLvlwRhnURiklAsUd9AvKkJkr2HUgFQ6PWonU7U2dmocpyos53S6xwnquxsKZ1a0i7FMgNGFES8LWGaKn00V/porvLRUhMgGe86SGawaslLOYTlllnJK7WiN8ti6mPFgeYA1z/8GQ3eCEV2A0/cspDyHHO3x8p1h8TR5kO8qYnWxx7H88wzCEFpIFSdl0fWjTdiv/IKVOZU/ouiFLor2AKBZgg2S6G+LPlgKwFbMWiOrrySQkjuyziF7dlDdN++bieuCQoFdSYnh2yF2KZN4ZwLTsY+fQrqwsLjol9if5OfH764nfWVnZ3SFo3N4peXTGdinmWY7kymLwiCiK8ljLteEoa566RJHZ6m7kMXg+T2a3VKIglrjrQeaiedEw253shwrPMiFEvw1GfVPPRxRadQQSVZBi6ZXcTFswsZn9tLuZZMQFtFShC2OyMOcx+QJn90hymngyhsCpSdCtnjBvwZRFHkkwMu/vLOPjZXewAwaFTcuKSMW08rP6Jz6dHgCkTZmhJ6ban1srXGgzfcNSytVa9mVomd2SV2IvEkD31SgSjChFwz/7p27qDWHdFQvENYyUx4SW9LGL87gtCL64daq8SWIwnD7LkGbLnG9Npo7V4c5g5E+dLjG9hc7UGrVvLXK2dzwcyjE08caPazcmcTb+1oZHudt9O+6UVWlk7LZ+n0/N5/m8NAMJqgxR8lFEtS5DBgM8htlaFErjskRks+BD5bR9U9D9JW1UbImEfIMYZ4+SwCopmQr/tw3iAZyNuNfhyKCuyJPTjUtVhVjQSFbFzxsbgSY2mJjyUodC8uNhgFcgq0OEuzcI51kjPGii3H0On5rcEb5q7/bU4/39+0pIwfLJs8aOPHJzL/W1fND1/cjijC52cW8JcrZ8vuyaMYURSJJQUiMYFIQhKIhTsIxtJCsliyi5gsLTBL7Vt9wIUvkkChgGsXjeG7508e8npTFoANI++++y633XYbBw8e7NPxo6Vy6wnvq6/S8JOfIkYiqAsKKL7nrxhmzRrw9eLJOLtad6UFYZubNuOPd54Nr1VqmZkzk7l5c5mXN4/ZObMxaoZ35kTbM8/S+POfgyhiu+wyCn75i97Ds8Qj8O8zpUblxKVw9dN9spTeXuvlqgfXEowluWBmAf+4ag7Ko+yoeXtnI3c8uYmkIHLdSWP45cXTh6xTUxRFki4X0UMVxA4d7CQMSzQ29niewmhEN3ZsB2HYWHTjxqEtKUFxuMOazLCRiCfxtURSorAO4rDmMEFPD7PpUmhNGnQOLVjUxA0qgloFbSmRWEs4hisQw+WP4vX5ZAEYo7/uOFoEUWBbyzZWVq7k7cq3aQ43p/fZdDbOHnM255edz8L8hd06SIrREK2//TrNz34MggK1IUnR5ywYr/spTLloyCz+08Qj4KsDTzV4a8FbI63bX/vqJIEBAArQ28CYDcYsMGR1XndKZ2fSPTjTJJICdzy5iXd2NWHRq3n2tsVMKej9N3TPu/u45939qJUKnrhlEYvHHZ9OCDKdSSYEPM2hTqKw9sElIdmDMEyjxJ5v7OQYllVgwppjOOrnlYFyopeXHWnPi6+9/jVEvUg0ESWazCyRRIRYMkYkGUlvG0yWFC7hztl3Mitn4G2FYefg+/D0tRAPQekpcM3ToDs2nfZiMkmipSXtHpZobOwgEmsgUV9P0us98oU6oDSZUDmzUTtzULeLw9JCsRzUTmmbyuns6mos0yPJpEBrfTAlCPPTVOmjtT7Y7cC81amXXMJKreSNteAssaDVyzNJh4o6T5jrH/qMQ64g2SYtj31xIdOLurpQy3WHxEDzIXrgAO6HH8b76muQkFw8tMW5ZH9uNrbpDhRRNwRaJKFX+zpxBMdroxPsKTGYbYy07vjamNXvZ3gxkSBWVUVk956MY9ju3SRbW7s9XmmxoJs0Ef3ESegmT0I/aRK6CRNQGgfYH5WIQtAlTfwItUqCAueEfjlM9odIPMm/Vh3g/g8PEk+KGLUqvnXuRGJJgb+/t59IXECtVHDLqWO566wJmHRyWTSaSMalZ3d3fYDWumAqnGQAn6v3/5ZSrcCa3UEc1kEoZnXqUWvkgcO+INcbGY5VXnjDcR5fU8kjqytoC0kD71kmLZ+fWcDFs4uYO8Z+dP3biSi49kPLns6OYW2VXY9VqODaZ6VJIkeBKIp8sK+Fe97Zx9Za6bnepFVx08llfPnUcuzGo3seD8USbK/1srXWw9YaL1tqPNR5wl2O06qUTC20Mjsl+JpVYqcs29gpP9cccPH1Z7bQ4o+i1yj5+YXT+MKCkiEXSgtJAX9rBE9zON3n7E31Q/vckR6FsCBNZJPcwiRBmC3HQESn4Afv7GavJ4zNqOGhG+ezoCxrUO+5ti3E2zubeGtnIxsqW+l4i+U5JpZOy+f8afnMLLYNSf7FkwLuQIwWf5SWQERap5bm9nQgmhZ+dcRu1FCaZWRMtim1NlKaZaTMaSLXIrsbHy1y3SHRng+P3/0BdrsNjV6NVq9Co1eh1asza50K7eHbUmu1Vjlov8dYJHFYyMYQnqYgnqZwjy6sAEabFkeeEbstjoND2EPrcLjfwSLWolC0//EVUDQXys+U2i5tVdJ4gKeasDeIK15GS2KsJAyLj8WTLESk67OYWhnHaQvgzBXJKTLiLM/FMq6Mv61t4f6PDgEwq9jGP6+ZS0mW7Do4UO774CC/f2sPANcsksbOj2W4P5mRTYs/ym/f2M0Lm6WoRU6zlh9dMGVInbVlAdgR2LRpE1/+8pfZuHFjp+2HDh3iueeeo7y8nEOHDnHrrbdit9v7fF2Px8OGDRv4/e9/zzvvvNOnc46HSj6ydx91d90lWeprNOT94P9wXH31oPzAk0KS/Z79aUHYxqaNtEY6d8apFCqmZk9lXt485ubOZW7eXGy6YxdKsPXxx2n6zW8BcFxzDXk//lHfQtw07YQHz5Rspi/4Myz4Up/e7+P9LXzx0fXEkyI3LSnjZxdOHXBef7y/hVse3UAsKXDZnCL+dMWsYRugTQaCxCo6CMMqUs5h1dXpTuMuqNVoS0okYdhYyTlMZbdL+a9UoVApQaGU1ipVanuHfUqltE2lAoVCEu0pVZJ6vv343valFrmxc2Ti0aQUeqxZsr7t2FAP+2K9nmuyadMztkRjgrOXzxzVZeZgcDzUHYOFIApsbt7MWxVv8U7VO7gj7vQ+h87BOaXnsLRsKfPy5qE6zEkrvHk99V//KrFmHyhEnFMDOM8Zi+Kcn0oddwP5b4uiNIDTLuo6XNzlrZHcDY6Igl4t9Y6ExpQSjTm6CMTiOjv3ftbGhhYFCmMWv7vuDAoLCkFr7vKZX9laz13/2wzA7y6bwVULxwz8nmSOC5JJAV9LuIMoTBKIeRp7DkejUiux5xlxFBhx5Kccw/KN2HONqDRDO2tKLi8z9Dcv2kO6p5dElEiyg0isj69bI62sql5FQpSe504pOoWvzP4K053Th/ojDw3Vn8KTV0DUB0Xz4NrnpDJ2BCCEwyTcbhItLSRcLpJuN4kWFwm3S3rd4pL2u1yIkf6FF1darWlnMXWOJArr6C6mKSlBW1zcswPyCU48lsRVE0i7hDVX+fE0hbocp1CAo8DUIXykFWeRecjLyhMJVyDKjY+sY2e9D4tOzcM3LWDh2M7/YbnukOiSD6II4baMS1egOe3aJQaaCO+uwv1xLYFDmfadMSdK1pQA5oLokR+tNSbJHd2UC1oT+BvAUwPx4BFOBDTGlBisOOUaVpISiKVEYtZCUPWtfEq0tBDZu4+9azax7cP15LbUUuJvRtOdE4xCgXbMGHSTJqGbMA59aR66IjsaiwJFyC2Ju9pFXsH21y1SOtZN6F+FCrLHdw035hgr2QcMkDUHXPzopR1UuKS8PGdKLndfPJ2iVCjUmtYQv3htF++kQl8V2PT89PNTWTpddmMf7cSjybRzjrcljK+l7046ACa7rltxmC3HgN4k1/ntyPVGhqHOC1cgysOfVPDE2ioCUal9UZpt5I7Tx3Hp3KKhdzuJBsC1F7F+J0LdDoRDn6Jq24rSZIMvrzoqJ7B2RFHk/T3N/OWdfeyslyJpmHVqvnhyGbecUo7NeOT/XiIpsK8pkBJ7SeEc9zX5Ofwvr1DAuBwzs4rtzC6xMavEzuR8a5/cTVyBKN98Zgsf73cBcOGsQn5z6XQs+uEpG5JJAb8rMzG5Yz+03x3pNeRTXAFZ+UZyC8xdnMMMFs2g1YWuQJR3dzWxcmcjqw+4iSUzfSiFNj3npcRgC8ocqFU9fweiKOILJ2gJRDIiro5LICPwag323u9+OEatCr1GdcTz9BolY7KMjMkyUZptpDTbyJgsI6XZJoodBjS93L+MhFx3SLTnwx9vfgWDdmARJxQK0OhUHcRj6s5isfZ9BhUaXUZgplIp8brCGaFXY5Cgt+ffvlKtwJ5rxJ6rx9BaDWvewtB0AGOoGXO+htw5QUzm2s4nmfOlcYbxZ0nCr576jxLR1BhCShTWVkXcXYe7IYrLrcEVyKYlMRZ3vJQkXSeMKEji0NRjN7QQFFtpU4Rp0ys595Q5zJk5C+xjpEnmMkdEFEV+99YeHvhQEtPdecY4vnv+JLldJNMtaw+6+fFL2zmYCv+8uDybX14ynfG53TvOHw2yAKwX2gVe8+bN4/CPNW/evLQo7NChQ3z/+9/vcyjH9msvX76cc88994QSgAEkAwEafvBD/KnPbb3wQgru/vnAZ0L2gCiKVPoq02KwTU2bqA/WdzlugmMC83LnpcNG5hiPHGJxILjuf4CWe+4BIPtLt5Dz7W/3rxJYey+s/AGoDXDbR5AzsU+nvbyljq8/vQWA7y2dxJ1njO/nncP6ylZueHgd4XiSz03P5x9Xz+m1YTFciPE4sZoaogcPEusoDDt0CCHUddBkWFAq0RQWYjn3XKxLz0c/c6b8MNAPYuHEYa5hmXUk2Nk+NxwL8t3/XDTqy8yj5XipOwabpJBkQ9MGVlau5N2qd2mLZsKaOA1Ozi09l/PLzmdO7hyUCqm8E4JBGu/+Gd5XXgfA4IxStNiDZvICOOvHMPbUw94kDr76zgIvz2Fir3gfyiaNMTMg1Z2bgSVlNx9ukwRl4VYIuTukWzun2/eH20DseTZSr6i0klgsexyMP4ddlsVc8lwbsYTIraeV88NlUwZ2XZkTAkEQ8bnCtNYHaWsMpgRiIdoagiS6CYUGoFAqsDr1KVGYJA5z5JtwFBgHzQFHLi8zDGde1Ppr+ff2f/PygZdJpgbQzyg+gztn38mU7FFYttRvhicuk8re3Glww0tgzh3uu+ozoigiBEMkXZJQLOGSRGEJt4uky5USjUnbki4XYrzncAadUKnQFhejLStDW1aaWkuLOi+vb5NkTiCioTjNVX5JEFYprQNtXZ33lGoFziIzuWVWcsZYpFnFeUb05sEbjDrR8EXifOmxDayraEWnVnLfdXM5a3JeZr9cdwAd8uEvJ2EV2iThktB5cpYogr9OT+tuM2F3uzOJiKU4QvbkAIYig+RsZc7tsM7NCL06bu9uwEcUIeI57Hn7sOfvQNORP4xCKT1f9/b8fbijYyxI2NPIf9/fxGdbdzHW38CEYAuzFWH0LR4iDX6Sge4nqynVAjp7HJ09gd4el9K2BCqNePiBqUkaDknwFunByVGlk/qL2sONta9tJb1OWmkNxvj167t5fpM0EJVr0XH3RdN6FHa9t7uJn72yk9o2yRHm9Ik53H3RNMrk8O/HJUJSINAW7SoOSwnE4pHeQ093Ci15mDjsRAstKdcbGYYqL+o9YR786BD/W1dNNDXxaFKehTvPHMcFMwrSfdqiICBGIgiRCGI4jBCJIIQjiJEwQjiCEAlL+8Pt69S2TuvO6fR1OmzrOFlZqVdQsqQF47Ry+NK7g+YQLIoib+9q4q/v7GNPoyQatujVfOmUcm4+pQxrSmgliiK1bWG2pEI5bq31sL3OS6Sbdni+Vc+slNBrdrGd6cW29HUGgiCIPPDRIf709l6SgkhptpF/Xj2XGcUjS2SQTAgZMWxzmG17XOzY48aaBJugpLfSSqtX4Sgw4Sw24yyx4Cwxk11kRqM9OrGhPxJn1d4WVu5oZNXe5k7uWw6jhnOn5jG9yCa5dwWiNPskYZcrJfLqKB47EiqlAqdZS45FR45ZR45FR65FL71uX1Lb2x1AA9EE1e4Q1a1BqtwhqlpDVLtDVLUGqWsLdxETdkSpgEK7gbJsU9o1TBKISWIx2WVUQq47JNrzYfNHB9CrjcQiSWKRBPFIkngkQSyaJBZOEI8mibVv67DvaOZP94SojyPYI4i2CEJqwR5FNMdAKUoTYTzVqJorGfuJm3Fb1KjjUknSPEZg7zkO/JPGSaIrY3aX53WlQslZY87qn0N+PAzeWoTWKjxVDbiqfbQ0CbjaDLiCuUSE7sUmFmUzTs0hnJoKcoxN5JTnYVr6dRT5o3RS5hCTFER+9OJ2nl5fA8APl03m1tOOXtwtc3wTSwj8++ND/P29/UQTAhqVgttOG8dXzxqPfhAdlWUBWB9QKBSdBGCHDh3iiiuu6OQK5nA4aGuTBo+fe+45Dh061OU6y5cvp7y8nE2bNlFeXo7dbj8hBWAgNTZa//MozX/+MyST6CaMp+jvf0c3duyQvm99oL6TQ1ilr7LLMWMsY5iXN48F+Qs4pegUHHrHUb2nKIq03PM33A88AIDza1/Feeed/e+AFwT472VwaBXkz4QvvQfqvtk5P/xJBb98bRcAf1g+kyvnl/T5bbfXernm35/ijyY4Y1IOD14/f9TFLRZFkURTU1oYFq04ROxQBUIwCIKAKAiQTCKKAiQFRCEJSeGwfaK0FqTt6XSHfb1OD+oBdUEB1vPOw7L0fAyzZsmDXUdBJBjvJAqrr2rhsq+ddFyUmUfD8VR3DBUJIcG6hnWsrJLEYL6YL70v15jLeaXncX7Z+czKmYVCocD76ms0/vxnCMEQSq1AwQIP1pIIlJ0qDUh5a6XF39A3gZUpt8PgUslhg00l0iDPUAzaCgJEvSlRWFs3ojF3Oh0PuPG4GrGKfnSK7gf368Us9lsXc8qya1CVnwG6wZ+5MGyE26BqrZQfUy6UZ0ENEaIg4m+N0FofpLUxSFujJAprawwRC/fg8AmYHToc+SlRWMoxzJFv6vfsW7m8zDAS8qLaV80D2x7gtUOvIaTK0rPHnM0ds+5gUtakYbmnAdO8Gx6/WBIeZI+HG16WyvnjDFEUEXy+DkKxlg7OYm4SzU0k6quINbgRw11DyLSj0OvRlnYWhbWLxNSOo2ubHVPcB+Hlr0qzcvNnQuFsKJgtrS35R335oDcqicIqfTRX+miq8hENdl9W6oxq7CkxmD1XWjvypXA26qMckDoRiMSTfOXJTby3pxm1UsGfr5zFxbOLgJFRXo4E0vnwfxasug51r96GoMvBW2mgdUOQmFtyFFRoVNjOXEDWNZehmzRTeobWGIb+Rttny3dy363JiMW8tR3Cq/eC3iaJxGJBybUr0XOZln7riJKoR03EoyHq0RDxaol51T02FzT52ejHlaKbOAnd9Jnop89BU1Ii9RmIotTWSIcaSy0te3qeYKI1Q87kzqKw3KmIphye31zPr1/fRVsojkIB1y0q5btLJx1xoD8ST3LvqgPc/+EhYkkBrVrJHaeP444zxg1q5/Wxpsod5LE1VayrdGMzaNID3U5zZvC7Pe0wak/48C6iKBIJxDPiMJckEGsXh4V6cccASbzc7hjW0UnHlmPAnKUftugDQ4Vcb2QY7Lw4VNfKE29s4tNNBzCH/TiiASbrE5ySraRQDCO0tUrPqK2tCH4/YnRww9j3FYVaZMzpboynngdXPiFFjRgkBEFk5c5G/vruPvY1BQCwGTRcPLuQmtYQW2u93bo1mXVqZhanxF4ldmYV28m36QftvjqysaqNu/63mTpPGI1KwQ8+N4WbTy4bkZMVHl1dwd2v7UIU4azJudxzxSyS/ni3YSX9bZFuxSUKBdjzjJ1EYc5iC0brwMJ0RuJJPtnv4q2djby7uwlPqG8TcKx6NblWfbpOO1zMlWuV0g6jdlDL3XhSoK4tnBKFZQRiVe4g1a2hbsWHHXGatWm3sDEpcVhptpFihxGVUoEgiAgiJEUxlU69TqdFkoKIeNi29DEdzxc7vO7hfIBF5VkUO45tqDy57pBoz4c9dXtQGVQEE0GC8SDheDidDsVD0joRSqeDiSDhWJhwJCoJxqJJklERMaZAk9SjTeo6rTWHvdYKOlSChoC2DY+hGY+hiTZDEx5DMzH1kdsBHbEGRS5fLXDuZhG1AALw8XQFz5ymxGXr/r+nQMF1U6/jrjl3oVcfXdksiiLBZg8t+6pwVbhw1YVpaVHiD3XfFjMq28jNDpE7axp5U0rJLbWiNw+Oe2NSEIknBeJJgUQylRZErHr1sDlE9pVoIsk3n9nCG9sbUSrgt5fN4AsL5GgoMn2npjXEz17Zyft7mgEoyTLwi4umc+bkwZk0LAvA+sDhArAHH3yQFStWdBJujRs3jhUrVjB37twjXm/Tpk1pgdj3v/99vv/973Prrbd2OS4ajRLt0BDx+XyUlJQcV5V8aP16ar/1LZItLpQmEwW/+Q3W8887Zu/vCrvY3Lw5LQjb27oXscOTugIFM3Nmcnrx6ZxWfBoTHRP71RgRRZGm3/6WtsefACD3u98l+5YvDvyGfQ1w3xJpAPrkr8O5v+jzqb97cw/3f3gQlVLBg9fP4+wpeUc8Z2+jny88uBZPKM6isVk89sWFo7oTb6gRRbGzOKyjgKz9dSJJeNtW/G+tJLBqVSdnMnV+Ptbzz8Ny/lIMs2Ux2NFyojaMToS6YyiJJ+OsbVjLysqVvF/9PoF4IL2vwFTA+WXns7RsKeNDFuq/810i27YBYB8XJm+OB6X6sMcglRasRT2Lu6xFoBmaTrXB5mBLgOX3riYW9HKF3cddJVEE90Eq6jYyzbALo7JDJ6JKC6Unw4TzpCV73NCI2IaKQAtUr4HK1VC1WgrF3P584JwIVz89KOEaZPqGKIqEfLGMU1ij5BzW1hAi1EtoYJ1JTVZHUVhqbXHou3UZOFHrDRjZdUeFt4IHtj3AG4feSD+nn1d6HnfMuoPxjv472w4b7oOSCMxbI7nI3PgyZJUP910dG9qqYMMjsPkJCLkRnZNJnPMPYl6IVVZ2Xmpqeg7pDqhstowobGwHgdiYMYPuKH1UHHwfVtzUs0OPOS8jBkuLwgqOqq4URRGfK5JyCfPhrgvgaep5MAoABVgceux5Bux5ptRaEolZsrovK09U4kmB7z23jRc316FQwN0XTeOGxWUnbN3RU73x8+dv4c7Z15CTPZFkQkfbcy/S+sQTJF1SyCel1Yrj6qvJuu5a1DlD475+VAiC5F7mrQVvdUYs1lEkFm7r/ly1HoxOMDlJGrLZ7dPyaaMCt2glonXwuUXTWTB1AgpzjnSczoKYSBCtqCC6dx/RfXuJ7NlLdO9eEs3N3b6F0mhEN3Ei1gs/j+Pqq7v2GQiCJDpt3t1ZHObaB0L3A8R+pZWdiSL2CsX4LOM578wzmTRjoTQJpY9UuIL89OUd6dBeY7KM3H3xNM6cNLocL1cfcPPomgre29Pc5/l9SgVkm6VBc2eHgfS0e0qHbTbDienGGI8lJUFYN+IwvzuCkOw5s9PisFwjtlwD9g7r0eocdqLWG9D/NocoigheL4nWVslttlUScCVb3STcrZIjrbuVcFMLMZcLbax/Ycs7otDpUOr1KAyGTmulQY9C375Nj1JvyGwztB/Xvk2P8rDz249T6vWIgkDtnXcSXLMWpVqg5Aw3xuXfgTP+b8D33ROCIPL69gbueXdfOsxQOxqVgikFVmYV21OCLxvlTvMxFVt6Q3G+9/xWVu6UnDnPmZLHn66Yid04MFHUYCMIIr99czf//rgCgGsWjeEXF03rNSJKIp7E1xLBXR/AVRPAVeunpSZAuIc+C5NNKwnC2oVhxWZsOYZ+lWuJpMC6ilZW7mykwRvBadGRe1jd0y5aHoljOqIo0uyPSqKwlCAs4yAWpK2P4rZjjVqp4PK5xXzlzPGMyT42bdATte7oqd6Yct8UVIbB+02rFWqMGiMmjQmTxoRRbUy/bk8b1cbun+OEJPjqpH4PTxVi0NV5v0orjQPYS8FRCnrp+zM2eJnw3AYKP5W0AoJaSdW50zh40WzilsxYQW2glneqJC1CmbWMX578S2bnzh7wZxWTSRJNTcTr6zNLXT2h+hbqGmMEYkbCpgIC5mKCpgJERdd8jhuURMwqgmYVAZMSn15BTCE5GyVSoq6O6URSJJYUSCQF4h3SPbkDqpUKzpycy+Vzizlrcu6IMyQJRhPc/t+NfLzfhVal5O9Xz2bp9ILhvi2ZUYgoiqzc2cTdr+6kwSs9xy6dls/PLppKge3oJsjJArA+cLgA7A9/+APvvPNOFwHYAw88wDnnnNPn67777rvcdtttPQrAfv7zn3P33Xd32X68VfLx5mbqvvUtwhskR7Wsm28m91vfRKE59gpfX8zHluYtbGjawJq6Next29tpf54xj9OKT+P04tNZWLAQg7rnP6CYTNL487vxpEKD5v30J2Rdc83R3+Tu1+CZawEF3PgKjD2tT6eJosh3Vmzj+U216DVKnvzSScwr7blDr8IV5MoH1tLijzK7xM5/v7QIs2y5O6gIkQjBTz7B1y4GC2Ya5Oq8PCznn4d16VIMs2fLYrABcKI2jE6UuuNYEEvGWF23mpVVK1lVvYpQIiPYLDYXs7T4HM57txX++yKIItoCG44zZ6AdPwHdpJmox89CYckb1Nmcx5pEWxvRvdJAVGTPXtp27CJx8CDaw0L6RNRaLOWFmHNAr6lBp21EZ4ujbG8jOsZmxGBlp4w80ZuvQRJ6Va2WRF+uvV2PyZ4AUT8EGiXXhysehXFnHfNblelMJBjH0xRKicNSrmGNQXzungUPaq0yFULSmA4jmVVgAl2crCzHCVlejoa646DnIPdvvZ+3Kt8CpIkaS8cu5fZZt1NuGyVCKm8tPHYRtB4Ec77kBJY7ebjvamgQBDj0Pqx7CPa9ReYPqZDSehtc/jBMOLfTaWIiQbyuLi0Ii6bFYVUkGhp6fUt1fv5hzmGpdHHxsWtbiiJ8dj+s/KHkAlq8AM78IbTshfot0LBFEmJ0Z/ljyuksCiuYJYnGj1IskIgl8baEaWsM4WkO4WnKLNFQL2I7jRJbjiEdRrLjojeN7Nm4Q4UgiPzitV08uqYSgG+dO5Eb5+dit9tHVHl5LOip3phy3xSKk3ru2l/O+I8OIYakGfHq/HyybroR+/IrUJlHeYjAaEAqzwONoLWAKVsSdGlNXf6v22o9fO+5belwXOdOzePXl0wn19r7s3CnZ/C9+4ju2UP0wAHEWGYQ2TB/HoW//jXa0tIj33MyLgmRWyRBWLJpJ76qbVhDNagUPTwwWQoOcwubIoUy7uE5XhRF3tzRyC9e3UWjT+q8Pn9aHj+9cBpF9mPg7jZAwrEkL26u49E1FWm3HIAzJuVw2dxiEkkBV0AKodXij+IKxKR0INqti05vaFSKjIuYOeMiJonF9Ol0rlV/wvS/CYJIoDWSCrWWctNJpb2uMEKi52EGlVqJNcfQyTGsPT2SxWEnal8V9Fx3VPzjHxiCoQ7CLrfkItva2uvEgO5IKlUosrIx5jpRObNRZ2Wjys5Cne1EnZ2FKisbtTMbpcUiibUMBhQ6HQrVsRHHCOEwNXfcSejTT1GqBcac6cZw538kp/EhICmIvLatnnUVrUzINTOrxM6UAuuIEAOJosjja6v49eu7iSUFCm16/n71HOaXZQ3rfUXiSb797FZe3y61Pb63dBJ3nD5uwALeoDeKqzaAq8afEoYF8DSHuu2v0OhUkiCsg1tYVqEJ9Qj4voYDXyQuhZJ0h6h0B9NhJavdIRp8EURREmKrlAoUCgUqhQKlApRKBSqlAqWifSHzWgnK1LGKjttT+1QKBcrUti7HKBV4w3G21ngAafulc4r4ypnjGTvEIbBP1Lqjp3pj1gOzsFqtkjBLY8SkTgm3UkKt9vThYi6T2pQ5J7XPpDGhVfVDfCqK0HoIDrwLB96Dyo8Pc+BVSG36cWfD+LOlPgFVz+3n8PbtNP/pz4Q++wwApcVC9q1fJuv661Hqpefuj2o/4u41d9McbkapUHLj1Bv5ypyvoFPpulxPiMVIdBR3pQRe6XRjoxTNqBcEFPi0RiyJGH5zCX5rKcGcYgLWUnyKrkInARG3UqRRLdCoEmhQCbSoRIR+FptKBahVSmKJTH+J3ajholmFXD63mJnFtmGfTOEJxbj50fVsrvZg1Kp48Pr5nDLBOaz3JDP6CUYT/O29/Tz8SQVJQcSoVfGtcydy05KyXsXnvSELwPpAXwVgv//971m+fPmgve9Inok/2IjxOM1/vYfWRx4BpI6sor/8BU3u8M4WbAw28lHtR3xU+xGfNXxGJJmZSaRT6ViYv5DTik/jtOLTKDQXpveJiQT1P/ghvldfBaWSgl/9Cvtllw7ejb1yF2x6THKOuWN1n2dmxpMCtz6+gVV7W7AZNDx3+2Im5Fm6HFfnCXPl/Wup84SZnG/hmVsXYzOemJ38xwohGpXEYCtXEnh/FUIg0/Gozs3Fct55WJeej2HuXFkM1kdO1IbRiVR3HEsiiQif1H3CysqVfFj7IeEOYV7Oac7lxuc96Dydw60o9PpOLiW6sWPRphaVeWSFRxRjMaIVlUT3dR5oSrS0dHt8SK2j0pqPQoRyXz26ZDez8lRKdNka9GYvensUvT2OzhFHZdBD+enSoP+E88A+DPbIbVVQtQaqPpEEX20VXY/JnSq5mJWdDGOWgCUP/E2SCLt2PShUcP5vYNFto8vd7AQhHkviaQqlncLaGoO0NoTwNod6dBmIJkJ8++ELT8jycjTVHfva9nH/1vvTMyCVCiUXjL2A22bdRqm1D4Pgw42/CZ64FJp3giELrn9R6hw8Xgi3wZanYP3DktCtnfIzYMGXpc+64maoXQco4Kwfw6nf7lM5KoTDxKqriVUc5hpWVUWyrQdHHgCVCm1xMcaTTsJ++WXoZ8wYmk7DRBRe+xZs+a/0etY18Pm/dhVLxILQuEMSg9VvgYatUtg2sZtOWGN2V1GYfcyg1DvtIbs8TSHamqTyURKJhfG2hHoddNebNVIoyXwpVJcjz4Q9Txp8V2mO77aKKIrc8+5+/vbefgCumZPDb69aNCLLy6Gkp3rjkSsXMn+7D3Wqz95X7KDotjspuuQLwzLJbyQQSwjc+8EB/vn+ARKpkCY/+fxUls8r7p/DfCJBrKqKwMcf0/L3fyCGQij0enK/9U0c113X536CdRWt/PDF7RxoDqAjxpVlYb4+I44zdDDjGOat6f5kU670/DtjeY/lUCCa4O8dOq8NGhV3nT2BW04ZO6Jm79d5wjy+tpKn19XgDUttGaNWxfJ5xdy4pIxxOUdur8WTAq3BjCBMEoh1FIpF0un29+gLCgVcPKuQH10wlRxL14G9E4W0OKw5jCcVYs3TIq19rnCvzmHtImZJFCa5hrWHlzTZhlccdqL2VUHPdce68RMw9yLAUlosqLOyUDmdqLKycGlMfNYqsj2kxKOz4NWbmTWznGvPn82UCYXDPjh8JIRQiJrb7yC0bh1KjcCYc0MY/u9tSWh7ArKjzstXn9pEpTuESqngW+dO5I7Txw1L+FdPKMaXH9/A+so2NCoFf1w+i0vmFA36+8QiCVrrg7hqJJcwV40fd32QZDfhEBVKBY58I84SMzntjmHFlkELwTZaEUVx2P7rG6ta+dt7B/hon9RnqlTAJbOL+MpZ4/v0/DAQTtS6Y8T0VSXjsP8dOPCOJPryVHXeb86TJgmPP0fq+zD1TxAkiiLBTz6h+U9/JrpXmpSszssj566vYbvkEhQqFd6olz+s/wNv73qZHB9MT+Rxg2MpOT46ib2SLa4jvBug0aDJz0dTWNh5KZLWYk4uj62vw7dlO9NXv0bJ9rUoBal8Ujg0iBPz8OROoEJ7Bt5wHkKoa1+GQqXAkGvAUmDEVmzCXmTGnmdAo1ahUSvRKBVoVEo0aiXqVLo9rPreRj8vbKrlxc11NPsz3//4XDOXzS3i0jlFR+2ONBCafBFueHgde5v82AwaHr15AXPG9N01WUbmSOxu8PHjl3awsUrq45ycb+HXl05nXmn/xfGyAKwPdBcC8oEHHmDjxo3pbQ6HgxUrVvTLAay/nAiVvO/tt2n4wQ8RgkFUTifFf/0LxgULhvu2AGnwf13jurQgrCHYeQb6ePt4Ti8+ndPzT8b5+ycIvP0OqNUU/eH3WJctG9ybiQXh/lOlQZVpl8Ly//R5ECAUS3DNvz9jS42HApueF+5c0qmybPZHuPL+tVS6Q5TnmHjm1sUndIfTcCDEYgQ/WY1/5Vv433u/sxgsJ6ezGOwYzVAbjZwIZWZfkPNh8AnFQ3xU9xErK1bycd3HRJNRLCGRZesFJrbqKfNoMLcEUCS7cfdIoXI60ZWVpQVh6TBWx8ClJNHSIgm89u6VQs3s3Uf04EGIdz8ooSkdg37iJHSTJqGbNBH95Mm80QzfWCGFv/znVTM51xIjsms3kd27iezeRXTXbpLe7sNeacwJ9I54ZhlfinrW+TDhfBhzUq+zogZE+8ysyk9SLl9rug5qKZSQPwNKT4HSJdJi7OHBOhGFV78BW5+SXs+5Hi74M6jlunI0kEwK+FJOOJ3EYY0h/H4f3/3PRXJ5yeioO/a07uHeLfeyqmYVACqFigvHXcitM2+lxFIyzHd3BEKt8N/LoX4TqA0w4RyYdAFMPL/nsmek07gd1v0btj0L7SJpnRVmXwMLvgTOCZljEzF46/tSWEiQHA8uuQ90XSem9JWkx0OsqqqLa1isshIxHO50rG7iROzLL8d64YWoHYPUWedvgmeuk4RtCiWc9ys46c6+C7ViISnccCdR2G4QunG9MGRJQrDC2dK6YDY4ygZVjCwIIn53pJNbWLtILNAW7fE8hQIs2XppkD0nE7LLlmPA6jSgGkHij6PlP6sruPvVXQjREDX3XDmiy8tjQXu90T6IXznOzFPzQmwpV6BXG7hq8lXcNO0msg3Zw32rw8buBh/fe24b2+ukZ+TTJubw28tmDMgdK1ZbR8OPf0zo008BMMybR+Gvf4W2rKzHc7yhOL99czdPr5eeg51mLT/5/FQumtWNWCLik5wL02Ekd0nlfLhV2j/2dLjgL+DsORTz3kY/P3lpB+sqpXPG55r55cXTWTxu+H4DoiiyvrKN/6yuYOXOxnTYmZIsAzcuLuPKBSVY9UPTFosmkrjb3cM6CMVaAoeLxqIEolLZb9Gr+d75k7hmUWl6QExGQkgK+FujklNYSweBWHMIvyuC0FNMIUCtaXcOM2LPM5BVKDnsOPKNx8RlZzQ8Zx8r2vNi91134SgoRO3Mlhy6srNQtTt2ZWej1GoRBJH39jTzz1UH0u47aqWCy+YWcfvp4ygfItHFUCGEQlR/+cuEN26SRGAX6zD88IPR2xY4SgLRBD9+cTsvbakH4NQJTv5y5exjOiZR0xrixv+s41BLEItezQPXz2PJuGPn6iIkBTxNYVpq/J0cwyLB7vvqzA5d2iUsp9hCdrEZa7Ycwv1Ysrm6jb+/t59VezNCsAtnFfK1s8YzPnfgbdvukOsOiWHJh4qP4Y3vSu3zdpQaqQ97/DmSy1fe9MGZpJVM4nvtNZr/9jcS9dL4s3b8OLSlZWmBl9BDf3tHFAZDV3FXB4GXOienX+OK8bo6Wp/4L54VK9JRjFS6JI4JQRxzrERP/SFN5nNprgnSXOWnudLXrdu4Rq8id4yF3FIruWVWcsssWLL0PYo5k4LIJwdcPL+xlpU7G4mmnMEUCjh5nJPL5xVx/rR8jNqhd86tcge57uHPqGkNk2fV8cQti5jYjbmKjMzRIggiKzbW8Ns39+BJhUK+akEJ3186GYep726FsgCsDxwuADt06BBXXHFFFwFYRUUFdrt9yO7jRKnkoxUV1N31daL794NKhfO2W8m68UZUNttw31oaURQ54DnAh7Uf8nHtx2xp2YIgCmjiIt9+UWDuQZGkWknLj25i7mW3YtMNwb3XbYSHz5MGBS65H2Zf3edTW4Mxlt+/hkMtQSbkmllx+2LsRi1twRhXPfgpe5v8FDsMrLh98bAoqWUyCLEYwdWr8b+1Ev/77yP4/el9qhwn1nPPw7L0fIzz5slisMM4UcrMIyHnw9ASjAf5oOYDVlau5JO6T4gL0kOZKilS4FdzarKcedF8Sj1a9HVuYlWVvc/EUavRlpRIorDDnMNUWVn9mt0mxGLEDh4ksmdvJ7FX0u3u9nil2Yxu0iT0kyal1hPRTZiA0tS9jfnag24EUeTk8V07xERRJNHQIAnC2oVhu3aRaGzs/mPrk+gccfROJfqpU9CfdB6ak69AYe1qK31ERFFyUmkP51i1RgrR0+nDqqFwTkrsdQqMWSSFI0NyJU0GAgh+P0m/H8EfQAj4SfoDICQxzpsnhdpZ+y945ydSGK+Sk+ALT4B5eJ1LZQaOKIrUV7VQPDZPLi8ZXXXHTvdO7t1yLx/VfgSAWqHm4vEXc+vMWzs59I4kQvEQuxs3sP39n6B0H2S5P4BRFCVnwdIlMGkZTF4miXpGMokY7H5FEn7VfJrZnjsNFn4JZlwJul4G4zY+Bm98B5IxyJkMVz0F2eMG9RZFUSTR3Ex07168r76G/+23EVMziBUaDeZzzsZ++XJMSxYP3GW3fgs8fQ346kBngysekTqCj5Z4JCUK2ywJwuq3SEIMoZtBIL09JQablXELyyofEofKeDTZJZRk+xKL9BxKoqM4rJMjyygWh72wqZZvP/kplX+5YlSUl0NJe72x67bbKbvzDvQzZrC6fjX3brmX7a7tABg6CMGy9CfmAHciKfDQJxX85Z19xBICJq2KHyybwjULx/Tb6UQUBDzPPkvzH/6I0O4G9s1v4Lj++k7lmSiKvLK1nl++tgtXQApZePVCqQPZbuxHuJtEFFb/HT76IySjoNLCKd+EU77Va1jIFzbV8ds3d6ff+5LZhfzwginkWo5dSPhIPMmrW+t5dE0lO+t96e1LxmVz88ljOWty7ogSWG2r9fCjF3ekxYKzim386pIZzCgeOf2iIxlJHBaRHC2bO4SWbA7hc0cQexCHKRRgyzWSXWji/9k77/A4ioON/66fdKd26sVqbnI3brgbbIMNmBZ6NzU9QAqQRvIRCIEkhBQgpvcSA4GAsQ0Yd9x7lYt67zpdL7vfHyPd6axiyZZkyd7f89yzt3u7e3tjeWZ35p33taSYAsKw6IQw1KcYvdIeA+k+u7fpSlm0RBi+sOZ4IE7XoFVz05R07p2d3a8jZk+GZLdTdNedOPfsQ62XyLgtG+NPPwPNuREBeyKyLLN0RwmPfrofl1cizmzg2RvG90m01t6SBu56fRs1Ng8pUUZev2tKvxjYl2UZe4O7OTpSCMKqi5uw1rja3V+rUxOTbMKSbCImOVzUY8nhRMaGKcKwXmRvSQP/WHWUrw9VAaI9uWxMMj+eO5ThST3zd6S0HYI+LQdrGXz5G9j/kVgPi4Ex14lox8yZnfd1nCaS2039O+9Ss2RJu4IvVWQkNVEq8oxWqqNAToznkum3kz18KrrUFDTR0b3ikOdvaqJh6YfUvflmoI9fpZGIynJiOT8Ww3cehRFXIqtUNFY7qSq0UlXQRFWhlerCJnztuByGReiEICwjgoTMSBIzIwmLaPuM0uTy8sW+cj7aWcrW/LrAdpNewyVjkrlmQhrnZ1l6xT3yULmV21/dSnWTm4zYcN6++3wGWcJ7/HsUFFpTZ/fwp+WH+M/2EgAsJj2PXJLDdV10ElcEYF1ApVJRX18fIu6aOHFiQACWl5fHd7/73ZBIyN7gXGrkJYeD8t//Huv/PgNAHR5O9I03YrnjDnSJ/W9wtcHVwLfHv8H4q2dIzq3FrYWnr1WzL0uNRqVhXPw45gyaw+zU2QyOPvXM+Das+wt88wfQm+F7G8CS1eVDS+odXPPCt1Ra3UzKiOGFWydy9xvb2FvSSGKkgf98dxoZsb2bXa7QPSSPB/u339K08kuaVq1CsgY7LjVxcURcNJ/IBQsJnzxJEYNxbtWZnaGUQ9/h8DrYWrGVDaUb2FC6gVJbacjnSaYkZqTMYHb0JMa54tGWVAqnkvz8QJyV7Gq/EwdAHRmJPjMTQ1azc1hms3tYRjr+xsbm6MZc3IeF2Mudlw/+dgZi1Wr0GRlC5JUzHMMwIfbSpnQeleCVvByrP8a+mn3sr9nP/tr9yLLMmLgxjI0fy9j4sQyOGoxG3XH946uvx3XwIO4WYdjB/XgKi4Vo68TL1EkYE/QYhw/BMGkWxumXYBgyFJX2hM5QyS8GyAs3Ih9fj5S3GX9jA5JXhd+jRvKq8ft1SOEZSOFp+HXxSJjxO9xC5GVrFnk1NeG32do4xbSHLiMd8+w5mIdEEH70z6h9jRCZBje9B8ljT3q8Qv9EqS+DDMSy2Fe9j+f2PMfG0o0AaNVavjPkO9w79l6STEln7Lr8kp+8xjz21exjb/Ve9tfs51jDMfyt4v5SNSYes8tMKT8cenDCKMi5TIjBksf3n7jZxlLY8ZoQcNlFJzdqrXDymnIfpE/r+rUWb4P/3AZN5UI8dc1Lwgmtl/A3NtK4bBkNH36I+2BwBq82JZnoq79D9HeuRpfajZiX/R/BJz8UrmexQ+Gm9zt1xDltfO5mUdieoFtY1UEhojuRiBSY/3sYe32f/O3IsoyzyUtDpT046F7dEinpxOfupjgsPoyohP4vDlu5K5+FE7IHVH3ZG3TUbsiyzPrS9Ty/+3kO1B4AhBDsppybWDxqMTHGgRmZ4fF7OFJ/hCRTEnFh3R+YPl5t46EP9waiHc7PsvDUNWPJjOt+H4ynpJTy3/4Gx6a2bmBFtQ5+8+n+QETRkAQzf7x6DFOyTkOAV5cHy34Ox1eJdUs2XPoX4X7QAY0OL3/5Mpe3txQiyxBh0PKzi4dx69QMtD0orDmRSquLdzYX8s6WImrtop40aNV8Z0Iqd0zPJCep//6f9Usy72wp5M8rcmly+1Cr4PZpmfz04mG95lJ2LuD3SzTVBmMlGyoc1JbZqCuzt+tUAaDWqohJFKKw2FQhrLCknLrTzkC8z+4tOisLj0/i450l/HvtcQpqHQCYDVpum5bBXTOyzpq0Cr/NTvEdN+M8cASNXiL9wYsw3vmvM31ZZ5SjlU386N1d5FY2oVLBDy8YwgPzh/Zae7HqUCU/encXTq+fkcmRvHbnZBIj+06kfCq4nT5qS0JFYfXlDvy+9pMIWoRhMcnhog5LFnWaIgzrWfaXNvLPb46y8kBlYNslo5P4ybyhjEg+vfpeaTsEfVIOPg9sfh7WPg1eO6CCSXfB3N/0uUuj32ql8X+fgVrVyskrFY1ZPDOsKlzFY5sfo85Vh0al4e4xd/O9sd9D19PpGicge71YV35J3auv4jp4sGUr5lQXsdOTCLv9cVRD5oX0Q0h+ibpyR7MozEplgZW6Unu7rq2WFBPj56cz7PxENO3U/UW1Dj7eVcLHO0spqnMEtqdGh/GdCal8Z0IaWafwXNUeOwrruPO1bVhdPnKSInjz7il9OpFFQWFbQR2/+e9+civFRIjJmTE8ftWYkwqMFQFYJ3z99dd89dVXPP300zz00ENMnjyZa6+9FhCiryVLljB58mS2bdvGL3/5y151/4Jzr5GXZZmmFSuo+feSQO6xSqcj6qorib377k6t7fsaf1MTxfd9F+euXahNJhxPPsia2CrWlazjWMOxkH1TzanMSp3FnEFzmJw0GYPmNB5YJT+8vgiKvoW0KXDn8m7NEjpcYeW6f2+iyeUjXK/B4fFjMen5z3en9rhNbb9ClsXAieQFy2AwDrz/T7LHg33zZqwrVgoxWKuZAJrYWCEGW7iQ8EmT2oolzhHOtTqzI5RyODPIskyBtYCNpRvZULqBbRXb8EjBwVmtSsv4hPHMSJ3BrNRZDIsZBrKMr6IiVBSWn4+noABvWVm7IqmToY6KCnX0Gp6DYchg1GGdz5KVZZkSWwn7a/YHBAuH6g7h9ncc+wQQrg0PEYSNiRtz0qgfyW7HlXsE18EDuHZswL1/H+6yOuR2xolVWhWGjGR0qalIdRVI9bXCrcsj4/eqkH091yGoCg9HYzajjogILGW3G8fu3SFxmSqjAVOSD3NcLeZ0FbpbnhPxzAoDDqW+DDKQy2J31W6e2/0cm8vFQLhOrePaYddyz5h7SAjv/YkklfZK9tXsC7wO1BzA4XO02S8hLIHRcaM5VHcoEC1/Q+al/FSbQvjRr4R7YeuKMDIVhl8iBGEZM0HbDdeWnkCWIX8dbHsJDn8RvDZzEky6EyYuhohTFNo1VcJ/bm92EVPBhb+CWT+HU3Xk6iKugwdp+PAjGj//PDixQqXCNG0a0ddeg3n+fNT6DspZkmD1E7D+L2J9yHy45hUIi+7Va24Xn0fEUZTtDorCKg8Ihx6AjBlCnJE4su+vrRlZlnFYPYEB91MSh7VESrZyD+sP4rCBXF/2JCcrB1mWWVeyjuf3PM/BWjFIEK4N5+YRN3PHyDuINkb38RV3n0Z3I+tL17O6aDUbSjcE6vYkUxKjYkcxOm40o2JHMTJ2ZJdc4P2SzJubCnh6RS5Orx+jTs3PLx7OnTOyuu1GJcsyDR/8h6qnnxZuYAYDRy+/jYfJweEDvVbNjy4cwnfnZGPQ9sBkMVmGg5/A8keCTrujr4EFf+y0Ldhb0sBvP9nPnhLRfzEyOZLHrx7NhPSeFQLuLm7gtY35LNtbjq95UCk5ysht0zK4aXJ6t6IzzjRVVhePLzvE//aIWLT4CAO/XTSSy8cm94qzw7lKSztVV2oPCMJqy+zUlds7bKO0erUQUaSasSSbmp3DzJii9Z3+2yjtRpD2ysLp8fPe1iJeWp9HeaOYIBcTruOuGVncPi2TqPCzTwDpt9kouulqXEdL0Oj9pP/xxxgX/fhMX9YZxenx89jnB3hvq4gtnpwZwz9uOq/Hk0re2VLIbz/ZjySLaObnb5mA2TAw+9Elv4S1xkVduZ265vqrrtxOQ0XnwrDopHDhethKGBYRG9YrLjrnCgfLrPxr9VG+2BdMI7h4ZCI/mTeU0amn5uaptB2CXi+H49/AFw9B7VGxnjZZPEunjO/57+oh6l31/HHLH1lRsAKAYTHDeHzG44yIHdHr3y3LMo5t26h75WVsa9cHthstHiwz04j84dOoMs7v8Hifx09NiS3gFFZZYKWhMth/FmExMmFBOjnTk9uN6ZZlme2F9Xy0o4Rle8tpcgfF/BMzYvjOhFQWjU0hKuzU7h3WHqnme2/twOn1MzEjhlfvmHxW3oco9H+8folXN+Tz7NdHcXr9aNUq7p6Vxf3zhnYYgaoIwAYQ52ojL8sy9nXrqHnpJZzbm2M3VSoiFiwg9p57CBs96oxen6++nuK778F18CDqyEjSX36JsLFB949SWynrStaxrmQdW8u3hggAwrRhnJ98PrPTZjM7dTaJpsTuX0BDEbwwA9xWuOCXcMEj3Tp8a34dt76yBY9PIsKo5b17p57yjWi/x++DQ5+K2K7SYIQrpnghBIsdLGavxg4W65bsXrVy7Slkjwf7li1YV6zA9vUq/K3FYBYLERddROTCBYRPnnxOicHO1TrzRJRy6B84fU62V2xnY5kQhBVaC0M+jw+LZ0bqDGakzmBa8rQ2g0aSy4WnsKhZECbEYe7mpWS1gkaDITsLw7BWYq+cHLQJCV0aGKh31QecvVqWDe6GNvtF6CIYHTea0XGjGRM3Bhk54Gqzr2YfTl9b96w0c1pAEDYufhzDY4afdCaS7PHg3r8d17pPce3egiuvDHedCqmLAi+V0Yg6wozGHBEUcEVGookwozZHhH4WGYHaHCE+i4hAbTajMZtR6dq/Rr/Njn3Tt9jXrcO2dh2+qqqQzw1RXsznj8d860OETZhwTtW7Ax2lvgxyNpTF9ortPLf7ObZXbgfAoDFw3bDruHvM3afk1tIedq+dAzUH2FsjhLL7qvdR5axqs1+4NpxRcaMYEzcm8Gq577d77fx1+19ZemQpICaLPDb9MaZEDYGjX8Lhz+HYN80zT5sxRMLQi0RU5NCLAhG2vYLLCnveh20vQ01ucHvGTBHzmLMIemJ2qc8DKx6B7a+I9ZxFcNULfTJRQ3K5aPrqaxo++gjH5mCUpSY6msgrLif6mmsxDh8WPMDdBB9/F3KXifXpP4b5/wedOGD2OV4XbPqXcIz2OUW86NTvi2dFQ/+a6HO64jCzxUh0QhhR8eHEJIcHYm/CIzsfgO8pzob6sifoajnIsszakrU8v/t5DtUJFz6TzsTNOTdzx6g7uiSc6kvKbeV8U/wNq4tXs6NiBz45OKgQqY+kydOETNtu0PSIdEbFjQoIw0ZYRhCuaz8mpKjWwSMf7+Xb4yKm/bz0aP587dhTmpTnKSnlyC8eQbNLtH0HLJmsvvK7/Oyu+WTH90LfhssqxLBbXxSx6IZImPtbmHx3h3WiX5J5f1sRT6/IpdEpJlXcOFlEUp6OMMvrl/hiXzmvbSxgd3FDYPukjBjunJHFglGJveo21ttsOFrDo5/uJ69G3A/MHBLHH64a3WPuBgrtI0syTXWuZkFYUBjWmaDCEK4NRki2CMNSTYSZxd+30m4EaSmL2vpatMYI3tpUyCsb8qlrduxLjDRw76xsbpqSjmmAinK6ir+piaJrF+IqrENjkMh4/i8YZlx+pi/rjPO/PWX86uN92Nw+osN1/OXaccwfeQrjJycgSTJ/+TKX59ccB+D6SWk8cfUYdAO4negISZKxVjsDgrAWcVhn9ZhGpyYmKTwgCBORkiYi4xRhWHfIrWjin98cZdm+8sCc3vkjEvjJvKGMTYvu1rmUtkPQa+XQUAwrfwWH/ifWw+Pgosdg3E29PjGtp1hZsJInNj9BvbserUrLfWPv456x96BT941gyZ2XT90rS2j832fIzVGP2nAflpkZRD/4FJqsiV06j8vu5eDGMnZ/VYSzSTwrhEfpOe+idEbNSkVnaP8Zw+X18+XBSj7aUcL6o9W0GIvptWouGpnINRNSmT00vsvPA5/vLePBD3bj9cvMGRbPC7dO6FBoo6DQV5Q2OPm//x3gy4PCaTI1OozfXT6Si0e1nYSlCMAGEEojD46dO6l98SVsa9YEtpmmTyf2vvsIP39Kn89+81VXU3TXXbiPHkNjsZD+6isYc3I63L8lHmxtyVrWlayjyhE6QJRjyWF6ynSGxwxncPRgMqMyu+YQtncpfHyP6Ni/ayUMmtyt37H2SDVvbSrgR3OHMn5QdLeOHRC4GmHnm7BlCTSKmUNoDGJAyV7d+bHmxGZxWHYrkVizOEzf/3KeZa8X++YtNH25kqavvsbf0BD4TBUWhi4hAW18PJr4OLTx8Wjj4puXcWgTxFITE4NqgNzYdoZSZwqUcuifFFuL2VC2gY2lG9lasTVEOKVWqRkbN5aZqTOZmTqTEbEjUKva/z8pyzL+hgbU4eGoDV1zlHT6nByuO8y+6qDgq8RW0mY/nVpHjiUnIPYaHTeajMiMDq/FL/k51nCMvTV72VstXnmNeW3206v1jIwdKRzC4scwLm4cSaakzttwvw+5aDPezf/FtXUtvnor6sRM1Gmj0GRNQJ0+Fk1UtBB5mUyoOnJs6WFkWcZ9+DC2teuwrVmDc89uWo8BqiPMmGbOFHGRs2ehje3cDU3hzKLUl0HOprLYWr6Vf+3+F7uqdgFg1Bi5MedG7hx9JxZj1+37fZJP1HHNroj7avZxvOF4m4F/tUrN0OihjIkPir2yo7I7jccF2FS2id99+7ugG9jwG/jpxJ8KwYDXBflr4fAyyF0ejF0EUOsga5YQgw2/FKK6EV/YGVWHhOhrz/vgsYltejOMvQEm39N7blI734RlPxORhnHD4MZ3IW5o73xXO3iKi2n4+GMaP/4vvspgdIdxzBiir7mGyBmj0fzvbuG4pTHAFf+AcTf22fV1m4YiWPFLISQEiEiGBU/AqO/0n0jRTjgdcZghXEtMkglLK1FYTLIJc4yhR/sNzqb68nTobjnIsszq4tW8sOcFDteJ+FuzzswtI27htpG3nTEhmCzL5NbnsrpoNauLVwdEai0MiR7ChYMuZG76XEbGjsTpc3Kw9iAHaw+KiPSa/e3eV6tVarKjskOcwoZbhqPX6APf+/62Yp5Ydgib24deo+b++UO5b3Z2lwejrS4vT684zDubC1mYv5l7D3xOmM+NymAg/sEHsNx2GypNLwlVy3bD5w9C2U6xnjweFv0NUid0eEitzc2flh9m6Q5RXjHhOh5emMP1kwZ1a3C51ubm3S1FvL2lkEqrcD7Ua9QsGpfMndOzGJPWv0SFp4Pb52fJ2jz+tfoYHp+EXqPmexcM5gcXDMbYjiuCQu8h+SUaq51Bp7BmcVhDlRO5nSgjgLBIPbEpJgzRMpfcOfGcbzcg2Hact+R8vK7x2OvHIjnTSbeY+N6cwVwzMbVnXAsHCP6Geoqunour3IUmDDLeeBPD2O718Z9IjbOGf+36F+tL1xNjiCHJlBR4JYYnivfhSSSaEgNtUn+joMbOj9/bxb5SMeH57plZPLwwB/0pusC6fX4e+nAvn+4WzooPzh/GT+YNOedcFU8UhtW3LCsc+L0nF4a13F9bkk1ExBnbjWlTEByrauKf3xzjsz1lAVHKhcPj+cm8oZzXRRdU5ZlD0OPl4HPDt/+AdX9tnjilhin3CaONM+HufZrUOmt5YssTfFX4FSDGmx+f8TjDLcP77Bp8dXXUv7aE+nffw28XAi61TiJ6ajqWnz2JLmdS187j8XNwYxm7vizCVi/u8Y1mHePmDWLMBWkYwjoWY1VZXXyyu5SPdpQGYvMA4swGrhqfwncmpDEypeO/n3e3FPHrT/Yhy7BobDLPXD/+lNscBYXeYNWhSh799AClDWJMcf6IBH5/xSjSYoKaBUUANoBQGvkgrtwj1L7yMtZlX4BfdPoax44l9t57iJg3r0/EK97ycooW34mnsBBtQgLpr72KYfDgLh/f0rG4rmQda0vWsq96X7sDSOkR6WRHZTM4ejBDood0LAz76B7YtxRiMuF7G/rdzO4zQn2hEH3tfBM8zQ29KR4m3ytyu83xQhxWlwe1x1stm987ajs/f0RKs2PYieKwLND1rCX1qSB7vdi3bqVpxUqavvoqRAzWKRoN2tjYEGGYJi4uuB4fFI2pjf0371qpMwVKOfR/3H43Oyt3BuIijzceD/ncYrQwPWU6M1NnMj1lOjHGrkek+CU/eY15Ic5eR+qP4G8nXzEzMjMg9BoTNyZkUOpUsXqsgRjJvdV72Vuzl0Z3Y5v94sPiAy5hY+PGMjJ2ZIcuCf0ZX3099neexvb5+9jLdPg9rTqrVSqMo0djnjMH85zZGEeNOivEtmcTSn0Z5GwrC1mW2VS+ied2P8fe6r2AcOK9OedmFo9a3CZ6TJZlyu3lIsaxWkQ5Hqw9iMvvanPuZFNy0NkrfkynLi8no0M3sOQpwZ0kCUq3N4vBvoCaI6EnSTkPhl8GOZdCwsjuiXz8XnHebS9DQdC+n7hh4v553I19E51esgM+uBWayoSbzNVLxO/pQ2S/H/uGDTR8+BFNq1eDT7j+qDQykYOcRI8yEvbA26i6OfHmjHH0K/jiF1CfL9az5ogoi/hhnR/Xj2krDnNQV+6gvtyOtcbZYXK2zqhpIwyzJJuIsBhRnYKjwdlWX54qp1oOkiyxumg1z+95niP1oj4z68zcNvI2bh15K5H63i9Tr+RlZ+VOVhevZnXRasrsZYHP1Co14+PHMzd9LnMHzWVQ5KCTnq/R3ciBmgPsr90fWJ44+Q9Aq9YyLGZYiCgsnBQe/fQQq3PFRLVRKZE8fe1YRqV0LGKSZZnl+yv4/f8OUNUkBkeumZDGIxOicP7xMezfbgIg7LzzSP7jExiysrpVPl1G8sP2V2HVY8KhHhVMuRfm/qZTp8rtBXX85pP9HK4QfTbnpUfz+FWjO/3NAAfKGnl9YwGf7inD0+xgEh9h4NbzM7j5/HTiI7o2OWYgUlhr59FPD7D2iPg7yYwN57ErRzN7WPwZvjIFv1eivtJBXZmtWRgmxGHWmuA9pNNj5xevXXHOtxsQbDtGvDACTZh4do7WJXL1sMtYNPgyhsUM3PuUU8VfWUThNQtx18hoTGoy3vsYw7DuD9x7/V7eOfQO/977b+ytnYQ7wWK0BARhbURipiTiw+P7zEnmRNw+P08tz+XVjeJedmxaFP+86Twyog1isorH3vxqfu91QkIORKeHnKfR6eW7b21nc14dWrWKP10zlmsnpp2Jn9RvkSQZa40QuNZXBB3DOhOGqdUqEdneHNMenSCi26MTwoiwGFEr4jAAjlfbeO6bY3yyuzQgBJs9LJ775w1hYkbnk9OUZw5Bj5bDkS9hxcNiHBAgfTpc+mdIGn36F3oGkWWZFQUreGLLEzS6G9GqtXx/3Pe5a/RdaNV952AluVw0vvMSda+9iqflPkglE3leGpYHf0/Y5JldOo/fJ5G7uYIdKwoC91P6MC1jL0xj7Ny0gMNqe8iyzIEyKx/tLOF/u8uotQfTuUYkR3LNhFSuHJ8a8tzwwprjPLVCTFC65fx0HrtyNBrF+VChH+L0+PnnN0d5cV0ePknGqFNz/7xh3D0zC71WrQjABhJKI98WT0kpda++SsNHHyG7m2f6ZWcTe889RC26rNccQDxFRRQtvhNvWRm6lBTSX38NfXr6yQ/shDpXHRtKN7CzcifHG45zvOE4Td6mdvdtVxgWlkDm+3diaCyC8bfAVc+f1vUMaIq3iciTQ/8TMQQA8Tkw7Ycw5nrQdVG05KxvFoXlCVFYizis9ji4Gjo5UAWRqScIw7KD4jBt33dEyj4fnuJifNXV+Gtq8FVX46upwVfVvGxe99fVdeu86oiIUGFYKycxbbwQjumSk9FE9L0gUakzBUo5DDzKbeUBd7DN5ZtDOutUqBgdN5oZqTOYmTqT0bGjA64ysixT6agUgoVmsdeBmgM4fI423xFrjA1xpxkVN6pPBthkWaaoqYi91XvZU72HvdV72xWkaVQahsUMCxGFZURmDJwZmcVbkd+9BWdxPbbqGOz2bFzHikJ20cTGYp41C/Oc2ZhmzECj/P884yj1ZZCztSxkWWZD6Qae2/0cB2oPACKe8ZYRtzApcRL7a/cHBF+1rrYTAcw6c0Ak2yL46qk4ydZ06gZ2IjVHg2Kw4q2E2BBGZ4goxZxLYdBU0HTQ2ddUATvegB2vQZP4TlQacdzkeyFrdt+7Rdmq4D93QNG3Yv2CX8Lsh85I/IKvpobG535Nw7Jv8FiDZajPyCDq2muIvuoqtPEDYNDd64KNf4cNz4DPJdzjpv0Q5jwE+rMrQszn8dNQ5Wh2M3AEXA06c2bR6tTEJJuISW52NUgSwrDI+M6jbs7W+rK7nG45SLLEqqJVPL/7eY41HANE9HiLECxC37PPk3avnY2lG1ldvJp1JeuweqyBz4waI9NSpjE3fS6z02Z3yy2yI6od1RyoPSBcwpqFYe3FrRs1RnIsORilDLYcNtFkTUbji+MHFwzlh3OHtHHCKal38OinB/jmsBCYZcWZeOLq0UwfLNomWZZp+M9Sqp56CsnhEG5gDzyA5fZedANrqoQvfy0mKIJwVV/4ZKfOgz6/xOvfFvC3r45g9/hRq+D2aZn89OJhRBp1Ift9dbCS174tYGt+sO9ibFoUd87I5LIxKefM7HxZlvliXwWPfX4g4Hx22dhkHl00ksTI/jtR71zF4/JRXyGEYUXHKll4x4Rzvt2AYNsx56/PkDG0kMPWTSH9F0Oih3BJ1iVcknUJgyJOLsA9W/Ad207RbTfjrtegjTSQ/sF/uyzelWWZ9aXreXrb0xRaCwEYFTuKH47/ITIyFfYKKuwVVDoqQ5Zuv/uk51ar1MQZ44QwzJQYIg5rEY7FhcV17Hzs97Uv1mqzbH7vbrvd1tRAY2M9RtmFCRdGlbfzi04YBcMXwrBLKDWP5M7Xt3Ok0obZoOWFWycwa+gAuIfvJ7QIw1qcwlriJBsqHPg6EIZBszgszkh0szgsKj48IBCLsBjOSXFYQY2d51Yf4+Ndpfibn01mDonjJ/OGMiWr/ftO5ZlD0CPlUJcvXLKPLBfr5kS4+HEYc92AcMnuKjXOGh7b9Biri1cDMDJ2JI/PeJyhMX3nsA4gSxK2j1+l7qXncRQGE1DChyZi+dEvMF90SZcmSEt+iaPbq9ixvID6CnGvoDVoGD07lfHzB2GK6nzM1euXWJtbzUc7S1h1qAqPX9RbGrWKOcPi+c6EVPaVNLJknRAE/vDCwfz84uEDZyyivyP5hUN9dS7UHhVj5cMWDpiI1f7M0comfvPJfrY0Px8PTTDz+FWjGRGnUwRgAwWlke8YX20tdW+9Rf077yI1CdGUNimJ2DsXE33ttahNPdeh7c7Lo2jxnfiqqtBnZJD++mvokpN77PwtyLJMtbOaYw3HyGvI41jDsZMLw1CR7vWQ7fEyeMglDBlyafeiJAcykh8OfQabnoOSrcHt2RfC9B/B4Hk9ewPnqAu6hoWIw/KgHXebICoIjxXxkTqTcArTNy914V14b2o+tvX7llfYaf9G2evFV1fXLAwLisMCorHqlmU1ssdz8hMC6HQk/OynxC5efFrX1l2UOlOglMPAxuv3srt6NxtKhSAstz435PMoQxRTk6fi9rvZX7OfGmdNm3OEacMYFTsqIFYYEzeGxPDEfvMA4/Q5OVR7KOAQtqdqD1XOti4JUYYoxsSNYWz8WIbHDMditBBliCLKEEWkPrJPZzF1icZSeP8mKN8Dai3eab/Dbk3FtmYt9m+/RbK3moWr0RB+3nmY5szGPGcOhqFD+82/z7mEUl8GOdvLQpZl1pas5fndz7eJ92pBq9IyzDIsROyVGZnZYQxuT9OeG9gfZvyByUmdOE7ZqkREZO4XcHw1tB7ICbPAsAWQcxkMnivuHYs2wdaXxKQJSThcYYqHiYth4p09Fyd5qvi9sPJXsPVFsT78Urj63506yfQ4Pg8sfwh2vIYsgzN6IQ3V2VhXfInsaB6g1Ggwz5lD9LXXYJ49G5W2n7VHJ1KXD8sfhqMrxXpkGiz8I4y44qzq8G4Pv0+iscrZ7GIQjLupr3Qg+drvytJo1UQnhreJkoxKCEOj6flZlQOVnioHSZb4uvBrXtjzQlAIpo/g9pG3c+uIWzHrzad87hpnTcDla3P5ZrxScNA4xhDDBYMu4MJBFzI1ZSph2t519JZlmTJ7WWDCxoFa8WrPpUX2G/C7UolSZ3Pn5NksGj6FBGMSb2wq5JmvjuDw+NFpVHx/zmB+cOGQdqMAvaWllP/2UezfClFt2HnnkfzEExiye8kNDEQ7tOxnop8ERN/MZX8VE+Q6oNLq4vFlh/hsj3Bhi48w8OtLR3DB8Hg+2FbMm5sKAzEXGrWKS0YnceeMLCakR5+z985NLi9/++oor3+bjySD2aDlpxcN4/ZpGWjPwUH1gYDSbgRpKYuGhgaioqJw+pysLVnL8rzlrC9dH1JPj40byyVZl7AgcwHx4We/aMe37UOKfvQI7kYd2hgzGe8tRZ+Z2ekxeY15PL3taTaWbgTExL8HJj7AFYOv6PQZRpZlGtwNAXFYhSNUJNby3tfyvNAJWpWW+PB4IQ7zukmuOkqGy06W00GWy06M1LFQ6HSQ1VpUerOIrNebQK0Vke1y8PtqiWKVbzzbjedz5213MSKj58dzzkVkScbe6KGxytEqsr3Zobfa2aFrGIBaoyIyLky4hsU3C8QSwohOCMdsMXYrEnogUlTr4Pk1x/hwRwm+ZiHY1GwL988bxrTBsSH7Km2H4LTKweuEDc/Chr+JvhK1Fs7/Hsx5uG+czs8AsiyzLH8ZT255EqvHik6t4wfjf8DiUYvPSD+668s3qX3+b1hznSCL/9/6pGgs9/6QqGuu7VLakCzJ5O2uZvvyAmqKbYB4Zh85I5nzFmQQYTn5ORocHj7bW85HO0rYXdzQ5vNfXzqCe2dnd+/HKQj8XtHnVH1YiL1qcsX7mqNiImJr4nNg1s/ERKGOJqwqdAlZlvl4Zyl//OJQwOluUU40z905UxGADQSURv7k+G02Gj74gNrXX8dfLQbBNVFRxNx2GzG33Iw2puuxWe3hOnyYorvuxl9Xh2HoUNJffaXPZ3u3CMNaxGDHGo6R1ygEYk2ebjiGnS3CMHcT7HobNr8ADWJmExq9cPqa9gNIHNW31yPLIjqytVtYQCSWF4yi7C10rQRh+hPemxIga5boeI1IPK2vkWUZqampHRex6lDBWFU1/kYhiIv9/veI/8lP+qxjVqkzBUo5nF1UOaoCUZGbyje1qfdbnLNaHGpGx40mOyq74xmY/ZQKe0VIbOTB2oMnnZEaoYsICMKiDdFEGiKJNkSLbfqokM9almaduXfLxuOAT38IBz4W65PvhYVPIvtlHDt3Ylu7Dtu6dXiOh8Z+apOTMc8WYjDT1PNRhw+8OMyBiFJfBjlXykKWZb4p/oZX971Kvbue0bGjA0LZHEsORu2Zd9A40Q3sxuE38uDEB08eM+mxw/FvhDvYkRXC2bYFrREikoNxgACDzocp9wkRkLZ3XJRPmV3vwOcPik7a2KFw47t9E11or4H/3A6FGwEVzP89zLgfVCokux3rihU0fPgRzl27Aodo4uOIvuoqoq+55qSDdGecw18IIVhjs0Pl4Hki8qITccbZiuSXsNa4Am4GLc4GJ4u6iUoMxxAtce0D08/6+vJk9HS7IckSXxZ+yb93/zsQjx6pj+SOUXdwc87NXRKCybJMfmM+3xR/w+ri1YEI4BbSI9KZmz6XCwddyLj4cWf8flmSJQqsBQFB2P6a/RyuO9zuPbDOn0pT5VS81vFMzkjgj1ePYWhi5y5psizTsHQpVU89jWS3Czew++/HcsftvecG5nXBxmdh/TOiDtcYRCf/zAc6dUbfcLSGR/+3n7xqIYjTqFUBh4yYcB03n5/OrVMzSI7qXaHeQOJAWSO//u/+wCDWqJRIHr9qNOeln14/qELPc67cZ3eFzsrC6rGyqnAVX+R/wdaKrUjNQh61Ss3kpMlcmnUp89LnEWXow4kBfYxv2WMUPfamEIHFxZDx7vvtJpBYPVb+veffvHfoPXyyD61ay20jb+O+MfedlnC6NZIsUeeqC4rEThCIVTgqqHZUt3F3P5Fov59sr48sSUWWrCVLZSRLYyLFEIlGHyHEW3pTUMjVZmkCQwQ+TRivbqvmhU0V2GUj2UkW/nXzeQxJaNUWOurg6FdU7fiEsMLVRKiCzjNoDKKPfNhCGH4JRCkxkL2BLMnYGtw0VjubBWJiKdad+H2diMO0KqLihFNYVHwwVjIqIQxzzNklDiuuc/DC2uMs3V6M1y/ud6ZkWbh/3lCmD45FpVIpbUczp1QOsiwmya14RDgQgXA5v+TPIir2HKDKUcVjmx5jbclaAMbEjeHxGY+THX0GRE6yjHf9W9S98Bca9ruRvEKgrIkII+bWO4i59Va0sbEnOYl4tincX8uO5QVU5Ak3Z7VaxfCpSUxYkEF0Ytf60o9X2/h4Zwn/3VlKtc3NE1eN4frJ547r6CnjdUHtsWaBV25Q8FV7HKQO3Dk1BogbCjGZkL8+aKRiyYaZP4WxN/S//sgBRoPDw9Mrc3lvaxF+l4PiZ69XBGADAaWR7zqS203jp59S+8oreAtFo64KCyPm+uuwLF58So5dzr17Kbr3PqTGRowjRzLolZdPW1DWkwSEYXVHOL7yZxxzVJEXGcsxvb7LwrAcSw4jLCNIi0jr/7MnG4ph6xIRV+NujmsIs8Dke8TrNAVOvYIsg71avDwO8NrFzAOPHbyOVu+dYj3w3t68fwfvu2DT3YaEUTD4QvFKny4EYr1EzYsvUf3MMwDE3HILib/+VZdsXU8Xpc4UKOVw9uKTfOyr2ceW8i2EacMYGz+WHEtOrzsWnAm8fi9H6o+I2MiaveQ35tPobsTqtnboitkVVKiINEQSpQ+KxgIisXZEY3FhIu6gW8gyrP8rfPMHsZ41G657A8KDtu6e4mJs69ZhW7sWx5atgVhrAJVeT/iUKUIQNntW/xcUDGCU+jKIUhb9i1NyA2uN3wfFm4Xg5/DnwUkT2jAYe50QpyaP7aWr7yFKd8IHt4K1FPQRwglsxKLe+76K/fDeTUIcpY+Aa18RDmrt4D5+nIYPP6Lx009D4tTDJk0k+pprCZ80EdnrRfZ4kN1uZI8Hye0R656WdXfz5ydu94Qe5zlhP7cb2dvefh7U4eGET5qEaepUTFPPRz9kSNtnPI9DzIDe+Cz4PWIizYz7RedbLz4fDBQkSaap1hUUhLXE3VQ48LnFAKfTY+cXr11xzteXvdVu+CU/XxZ+yQt7XiC/UYhWowxRLB61mJtybsKkM7XZf2/NXlYXrWZ18WoKrAUhn4+JGxMQfWVHZff7fg+f5ON4w3G2lu3mnd3fUmTLRW0sR6USA6ZhmkhuGXE9N+bcSKKpa30g3rIyyn/z26Ab2PjxJP/xj73rBlZ7XLiB5YkIGmKHCDew7As6PMTt8/Py+nz++c1RXF6JnKQI7pqRxRXjU9p1OVMQddb724r50/JDWF0+VCq4eUo6Dy3IISpcd/IT9CFOj59dxfVsza9jR2E9GrWK8wbFMDEjhnGDoogw9q/r7UmU++wgXS2LGmcNKwtW8kX+FyFiXq1ay8zUmVyWdRlzBs05+/pCZBnfazdT+O9teKw6tInxZLz9DvpBYmDaL/n577H/8s9d/6TOJe5BL0i7gJ9P/jkZkRl9frl+yU913ioqlv+MSmc1FTo95RnnU2AwkG8vp6wdp/cW9Go9GVEZZEVmkRWVRXZUNllRWWREZnQ68WXD0Roe+GA3NTY3YToN/3flKK6bGBzX+M+2Yn75332oJS+LU8v4eVY+huMrob4g9ESJY4QQbPhCSD5PiaTqAwLisFbCsIZm9zBrdefiMI1WTWScEUuKCUuKGUuyidhUE1HxYQM6UrK0wcm/1xzng23FgXi6SRkx/GTeUMYl6omOjj7n245ut6G1x8Wkp2NfifXIVFjwBIy86qx3vz4RWZb53/H/8dTWp2jyNqFX6/nxeT/mtpG3nZmJMH4f/s2v0/jyX6nb48PrEA5QKp0W85wL0CYmoomJQWOJQWuxoImxoImJFu+jowPO67IsU3qkge1fFFCaKyY+qlQwZFIiEy/JIDala0JoSZJxev2YDIoTVQgeO9QcCRV5VeeKCaVyB/W0ziQmbcbnQPxwiBsuljGZ0PK35moUbv+bngdncz9a1CDRH3XebaA78xNyBzI7i+p5+L0tfP3IJYoAbCCgPCB2H9nvp+nLL6l56SXcB5vjXXQ6oi6/nNh77saQ3TWFs2P7doq/+z0ku52w8eMZ9OISNP3536DmGCyZBV4H8vzHqJlwczBCsjHoHNaRMMysM5NjyRGCsNgR5FhyyI7K7h/xWqU7Rczjgf9Cy6yi2KHC7WvsjR0OVDh9TvIb8wPOaXmNeXgkDwa1AYPWgEHTwauDz/QaPUatUSw1waVBY0Cr1vZtR7LkR/LY8Hvs+N1WJI8dv9eO5LaJpdeOz+MgrLGEqPyNIo6MVlW1xgDpU5sFYXPFQ28PP+jWv/ceFY/9AWSZyCsuJ+WJJ1DperdDT6kzBUo5KJzteCUvTZ4mGtwNWN1WGtwNNLobA8tGdyONnsbg++bPHD7HKX3fxMSJ3DriVi4cdGH3HpAPL4OP7wOPTTzw3PQ+JIxos5vkdOLYuhXb2rXY1qzFW1YW8rkuIx3z7DmYZ88ifPLkLtljK3QNpb4MopRF/+SU3cBaI8tQdVDYr2fPgbC+mdDS6G5kVdEqtlds5/rh1zM+YXz3T2KrhqWLoXCDWJ/9EFzwy54foDn4P/jv98RkC0u2qK/jh5/0MNnjoWnNGho++gj7+g3QSxE3p4omLg7T+edjmjaV8KlT0ae1cjqoPQ5f/AKOrxLr0emw8CnIufTMXGw/R5ZlbPVu6srtFB+rYNZVo8/5+rK32w2/5GdlwUpe2PNCQNQVbYjmjlF38J2h32Fv9V5WF69mTfGawCA4gE6tY0ryFOYOmssFgy4gITyhx6+tL1l1qJKnvtyFOW4HVv1aKh2iPdCqtFyUeRG3jriVsfEnF/TKskzDhx9S9aengm5gP/kJlsV39J4bmCzD/o9EtK+tUmwbcx1c/ESnE/gqGl1UWl2MTYvq94K9/kKNzc2TXxzmo50lAMSZ9fzq0hFcfV7qGStDq8vLjoJ6thbUsTW/jr0lDQGXkxNRqWB4YgTnpccwIT2aCRkxZMeZzpp/f+U+O8iplEVJUwkrClawLG9ZICoYIEwbxoWDLuTSrEuZnjIdneYsERG6bfj+OZ/C/9QIEVhyEhlvvc0+XQV/2vonDtcdBiA7KpuHJj/EjNQZZ+Y6JUlMKFj9hIiWj0qHa16G9PMDuzi8DgqtheQ35pNvzSevIY98az6FjYV4JE+Hp042JYeIwlpesUbhjFTV5OKnH+xhwzGRBnPV+BQev3oML63L4++rjgLwnfNS+dM1Y9Fr1aI9qs6FI8shdwWUbA0dxDYniokfwy4RQmVlUkSfI0kytnpXaJxki3tYjbPD6Ha1VkVMkonYFFNAHBabYiLCYkQ1gBzDyhudLFmbx7tbi/A0C+FGxen44hcLzvm2o8vthscuJuN++08x0Umtg+k/Fk60hp5xRhyoVNor+f2m37OhVPSrjIsfx+MzHiczKvPMXJDXhbz5RZre+Tu1e8FV1zUHKHVUFNqYGDQWixCJxcTQYEzjcFMaZQ1BQXhmjplJl2aROOzsj48+LZwNzUKvViKv6tygY3x7GKNOEHk1v49M7Xo/ndsGO16Djf8Ae7NQ3Jwk/r9OulM4fyqcEnX1DcRaYhQB2EBAeUA8dWRZxr7xW2pfegnHli1io0pFxPx5xN57L2FjO+4gs23cSMkPf4TschF+/vkMev451KYBUOnseB0+u1/c3Ny7CpLHhXwsyzI1zpqAMOxYwzEO1R3iaP1RvO1YNOrVeobGDA24hI2IHcHQmKF9M7tK8kPuciH8Kvo2uD1rNkz7EQy5KNCgOLwO8q1BoVfLq9RWikzfVE9qlTpEKHaieEyj1uCX/PhlP5IshSz9UvvbTtxXkiV8ki+wrasMjhrMpNjRTJJ1TKwtIT7/W7CWhO4UHicecAdfKOIio1J7pFwaP19G2SOPgM+Hee5cUv/2DGpD70WQKnWmQCkHBYX28fq9AWFYiFisWTB24rYGdwM1zppAnZtqTuWmnJu4eujVROq7+H+r8iC8d6Nw39GbRYfo8Es63F2WZTzHj4uoyPXrcWzfDj5f4HOV0SgG82fPwjxnTuhgvkK3UerLIEpZ9F9O2w2sD2nyNLG6eDUr8lewqXwTPknUX+HacF5d8Cqj4k4hqt3vhS9/A1v+LdaHLoDvvAhh0ad/wZIE656GNU+K9ewL4NrXQhwbu4q3ooLGTz6h8b+f4K2oQGU0otLrUOsNqPR6VAaxVOv1Iesqg755e+v9dKhbPtefsJ/BELJN3epcvqoq7Ju34Ni8GcfOncguV8g16tLSCJ96PqbzhUOYNi4ODn0GK34ZfD4YthAW/gksvegMNMBR6ktBX5WDX/KzvGA5S/YsaePu1UKELoJZabOYmz6XGSkzeiz+qr/hk3ysKV7DWwffYmfVzsD2sXFjuWXELVyUeRE6decCCG9ZGeW/fRT7xo0AhI0bR/KTf+zyZMlTwtUI3zwOW18CZDBEwfxHYeKdwRnhCj3ClrxafvPJfo5W2QCYmm3h8atGh0ak9RK1NjfbCurYki8EX4fKrUgndMklRRqZkmVhcpYFv19iZ1EDO4vqKal3tjlfdLiO8wZFMyE9hgkZMYwbFI15gDo0KO1GkNMti6P1R1mev5wv8r+g1FYa2B5liOKijIu4NOtSJiZORK0auI5AANQX4H32Aoq+0OFp0tIUG8bDN3ioiVIRoYvgB+N/wA05N5y0zu81mirEZLd8ES3GqKth0bNdvj/3S37K7GVCGHbCq95d3+FxEfoIIQaLzCIzMovDxUY+2erD544hwmigySWePX504RB+dvGwjkWk9ho4+qUYezj+jZi014LWCFlzhDPYsIUQmdKl36TQe0iSjK3ORUOVg7oyO3VldmrLhEtvi0PviWgNGixJ4VhSzUFxWLIZU7S+X4uLK60ulqzN450thTjtth6N8hqonLTdkGU4+Cms/HXwmXbwPLjkaYgb0rcX24+RZZlPjn3CU9uewu61Y9AY+Ml5P+GWEbecGTcwAFcj8sZ/4vxsCa5KPz63Gr/PiN+Qjk8Vg7/Jib++Hn9jo/h37oQmcxoF6Quojh8PzfcAsQ2HGWzdQly4A01MDFpLTLOrWNBlTJ+V1bvPQWcKv1ekUtkqwVbVvKwU7XfNUSH0slV0fLwpvq2bV3wOmBN6zknP64Rdb8OGZ4P/d8NjYdoPRWqB8dyt906Vnn7mUARgvYjygNgzOHfvpubll7F9vSqwLXzqVGLvvQfT9OkhN31N36ym9P77kb1eTHNmk/b3vw8cpw1ZFjEphz8XlfJ9a7o0Y8UreclryONQ3SEO1x3mUO0hcutzsXvtbfZVq9RkRWaREytEYS2uYVGGqJ75DR477HoHNj8vLCVBCNrGXItj0l3kh5k43ijEa3kNeRxrOEaZraxDoZfFaAnEXWZHZWPSmXD73W1fvtB1j9+Dy+8SS58rdL156T6VGMY+QoUKjUqDT/a1+SwjIoNJ0UOZ6FMxubqQpMLNoQ+6IP5+WtzBMmac1iyJpjVrKL3/AWS3m/ApU0h7/nk05t4RVCp1pkApBwWFnqPSXskHuR+w9MhSGtwNgJhpfOXgK7llxC1dmy1lr4Wld0DBekAF8x6FmQ926YHJb7Nh37QJ+7r12Natw1dZGfK5Pjs7EBUZNmkSan3XZk2FYC2D46tFx2dBs8tOZDJEpDQvk0WnZ+vlWfIQptSXQZSy6P/0iBtYL+DwOlhTvIYVBSvYULohZGLJ0Jih6NQ6DtYeJNoQzesLX2dw9OBT+6Ld78HnD4DPBZbBcOO7kJBz6hfusQvXr0P/E+tTfwAX/QE0A3Nw+UQkjwfn7t04Nm/Bvnkzzr17QwTFAPohgzFNnYZp0njCPRvR7H4RJK8Y+Jr5U2HFr9jwt0GpLwV9XQ4+ycfy/OX8e8+/KWoqIsmUxIWDLmRu+lwmJk48c4PgZ4hDtYd4+9DbLM9fHqh3E8ITuHH4jVw77FpijB27PcqyTONHH1H5p6eQbDZUej3x99/fu25gINzdP38QyneL9dSJsOhvbSYvKpweHp/Eyxvy+McqEaWp06i4d1Y2P547lDB9z/37ljU4QwRfx6psbfbJjA0Xgq9MC+dnxTLIEtbuwHtVk4udhQ3sKqpnZ1E9e0sacZ8QBaZWwbDECCZkxAhRWHo0WQPEJUxpN4L0VFnIsszemr0sz1/OivwV1LpqA58lhCWwMGshl2ZdysjYkQPib6Q9nEe/5N3/3Ef252Ek1UNlNGz7zRXcPf9hLMbuT1boMY6shE++D45a0IXDJU+J6KYeKud6V32oKMwqlqW2UqSOoqdkDX5PLJJjKPeddwMPzr6g6//uPrfoBzmyQriDneh8kjxOOIMNXwjJ48+5CLn+jCzJNNW5mgVhtoAwrKHC0WGcpCFcG+IUZkk2YUk1EWY+hb60XqSqycU/V+zl8evPP+fbjk7bjepcWP4Q5K0R61HpsPBJyLlM+b/aAeW2cn737e/YVL4JgAkJE/jDjD+QHpl+5i7KXgu73oLtr4oJ1C1kzoJJdyEPWYjf7sRfV4evvh5/XT3++jp8dXX46xuat4v3jTY1eZFTqIyfgKwS973RDUfILFxBTH0u7f1VJDz8MLF3Lu6Tn3payDI461sJuloJu0K2VYg2uitEprYVecUPP6VJkaeMzwN73oMNzwTjmo1RcP73xKsvr2WAowjABhDKA2LP4j5+nNqXX6Hxs88Cnd/GUaOIvfdeIi6aT9PKlZQ+9DD4fERcdBGpf/0LqlMZSD2T2Gvhhemikp98L1z2l1M6jSRLlDSVBEVhdYc4VHsoJFqhNSmmlEB0ZIswLCE8oesPW9Yykf+7/TUc7kbydTqOmaI4njaO46ZojttLQ2Z2nYjFaAmIvIZED2Fw9GAGRw/u1QdiWZbxSJ0LxFqEZX7Zj0alQaPSoFap0ahbvT9hW8t6y2ed7dvR8S3lXu+qZ2flTrZXbmd75XZy63LbiOVSzalMNKUzyeNjUmUeaWV7ULV+oFbrYNCUZnewuZAyvtuzdO1bt1Ly/R8g2e0YR49m0Esvoo3p+fghpc4UKOWgoNDzuHwuluUt4+1Db4fETsxKncWtI25lWsq0zts8vxdWPALbXhbro6+FK/8Fuq67asqyjPvIEWzr1mFfuw7Hrl3gD852VIWHY5o2DfOsWZhnz0KX0sFMVY8DCr8Vgq/j30D1oS5fQwC9uVkQ1loodsLSnNjvXR2U+jKIUhYDg/7iBub0OVlfsp4VBStYX7Ielz/oNJUVlcXCzIUszFxIdnQ2dq+de1bew/7a/SSEJfDGJW+QFnGK7oVlu+CD26CxWNRDV70AI6/o/nkaiuC9m6Fyn7jXXfQ3mHDbqV3TAEGy23Hs2BFwCHMdOhQ6i1atxjgsG1N0DeGG44THe1DHZ8Klf4ahF52x6+6PKPWl4EyVg0/yUeeqIz4sfsAO6vckNc4alh5ZygeHPwgIIAwaA5dlX8YtI25hWMywDo/1lpcLN7ANYgJAn7iBSX7Y9gp88wdwW8UM/SnfhQt/ddZMMOgvFNc5+L/PDvD1IRGtkhYTxmNXjmJuTsfxmx0hyzIFtQ625teyJb+ObQV1FNe1de0anhjBlCxL4JUYeWoiYo9P4lC5lZ1F9cIlrLCe0oa23xcTrgvGRqYLlzBTP3QJU9qNIL1RFn7Jz9aKrSzPX87XhV/T5G0KfJYekc4lWZdwadalZEcPDIcPWZZZWbCSv+74KxX2CmKaZP70lo+YRhW69HQy3nwDXVJS31+Yzw1f/Q62vCDWE8fAta9CfMftTE/i9ruDcZKtXgXWApy+0PphaMxQrhx8JZdlX0ZcWFzXv0SWoeqgcAY7sgJKtkPrfvSI5FZRkXO61Z+j0HdIfonGamfQKaxZHNZQ5UQ+0ZqymbBIfVAQlmIiNtWMJdmEPuzMtSlK2yFotxzcTbD2aWEiIflAY4CZD8CMB5QI1y4gyzIfHv2Qv2z7Cw6fA6PGyAMTH+CmnJvOrIOmJIl+6u2viDq4ZYzSlCD6ayYuhuiTC9VkWaa+oIZdKws5steK1Hwai8lFjrmEBFc+/oY6fNXVuA+KPvGkPzxGzHXX9dIPOwle50kEXa2W/o7jk9ug0gjHLnNi8ytBvCyDm0Vfw/rX85ffB/s/gvV/EdGUIPr9Jt8jUsHMSqTnyVAEYAMIpZHvHbxlZdS+/joNSz9EdooHBF1aGt6yMpAkIq+4nJQ//hGVtv91GnSJY6vg7e+I9zf/RzyY9ACyLFPtrA64hLUIwzoSZlmMloBDWEuE5KCIQYGbCIfXQd7xFRzb8yZ5lXs4ptOQp9NRquu43FuEXoOjBgdEXr0t9DqbsHqs7KrcJQRhFds5VHeoTZxkYlg8k8JSmOhyM6n8MJl1RaHKeGO0eMgdPFfERcZkdOm7nfsPUHzvvfjr69EPGUz6K6+gS+x+x2NnKHWmQCkHBYXeQ5ZltlRs4e2Db7OuZF1AVJsdlc0tI27h8sGXdx6VvO0VMTtN8onZoze+e8qxu36rFfu332Jbtx7b+nX4q2tCPjcMHSqiImfNIjxVj6pwnXiQLtoU+sCoUkPKBFGvD75QdGJay6GprHlZLoTaTeVi3d3YtQtUqcUDZoiDWDtCMUPvR9J0hFJfBlHKYmBxohvYTTk38cCEB3rVDcztd7OhdAMr81eypmRNyEBLekQ6CzIXsDBrIUOjh7YRZTS4Grhz5Z0cazhGmjmNNy95k/jwU+y8sdfA0sXNrorArJ8L4UBXBaeF3woRmaNG2Nrf8DakTz21axnA+OrrcWzbhmPzZuybt+DJywvdQS0TFuvBlOjGNHkSYXc9gyr+FN3bzjKU+lKglEP/wuP3sLJgJW8fepuDtQcD289POp9bRtzC7LTZ7ca7tO8G9hMsixf3rhtYUwWs/JXo5Adxn7jwTzDyyt51bJBlMcjiagRXA7KjHl9xAa7cI7iO5OOtc6BKHIraHInaFI4qLAx1eDjqcFPzsmVdvMTnJtThYajU/TNy7ssDFfz+fwcoaxRi7QWjEvnd5aNIie74mUWSZI5UNbE1P+jwVd0U6oKvUasYnRIZcPianGkhxtR7k2irrK4QQdje0kY87biEDU+KDAjCJmTEkBkbfsbFokp9GaS3y8Lj97ChdANf5H/B2uK1IZMUsqOymZw0mUlJk5iUOKl7wqA+4lDtIf609U+BmN9kUzI/k6K4cNvXFK1JwNukRp+RQfqbb6JLTOi7C6s+Ah/dBRX7xPr534f5v+8XTrGSLFFpr+RQ3SGW5y/nm6Jv8Eiiv0Oj0jArdRZXDLmCOWlz0Gu6WUfZqlpFRa6G1mkp2jARHz98ISSObm67VKIfRKUW6yp1+9tC9m31ebvH087xzftq9NBP257+iN8rUV/poK7M1iwME+Iwa42rw2PMMQYsKebmCMlwYpJNWJL6RhimtB2CkHKIiBD3jl/+RvRRghBkLvwjWAaGyLc/UWor5Xcbf8eWii0ATEqcxIMTH2RI9JAz7jRPYwnseAN2vtkqqlAFQy+GyXfDkPld6gOy1bvY9WURBzaU4feK+8bYNDMTF2aQfV48tX97htqXXwGVitS//oXISy/tvd/k80DJNtE3X7xFPA/Zqrrez95CWEwrQVfiCe9bbQuzDMw2QvLDoc9g3V/EpE0Qbe7ExTDjJ0o0cycoArABhNLI9y6++nrq336HurffRmoUlWz0ddeR9H+/77cdN11mxS+FAt4UD9/f1Kvq2EZ3I7l1uQG3sMN1h8lrzGvXltmkM5EdmUVtUyllnvoOz2kxWoJOXq3EXp3FGCh0H7vXzq6qXeyo3MH2iu3sr92PTwqNhokzxDDREMckh51JZblk2+sJ+d9hGRyMi8yc1alq3J2XR9Fdd+OrqECXmkr6a6+iT+85e1mlzhQo5aCg0DcUWYt49/C7/Pfof3H4HABE6iO5dti13JRzE0mmDmblFmwQ4gNnnXggu+EdGHR67j2yJOE+fBjbunXY1q7DuWcPgSlOgFonYUp0Y052Y0pxoUtKba6750HW7O7ZKXvsJwjETlyWi4fYEwTGHaKPEEKw6Awx+yh+mFjGDQdTbDdLonso9WUQpSwGHn3hBub1e9lUvokV+StYXbwamzcY75RiSmFB1gIWZi5khGXESQdXqxxV3LH8DkpsJQyJHsLrC18/9Rh5vw++ehQ2PyfWh1wE17wkOsI6Y8frsOznIuYwaawQ4UYPOrVrOMvwVlbh2CLEYPbNm/CVlYd8rtLIhOekYVpwHeHTZ2IckdO74pB+jFJfCpRy6J/Isszu6t28ffBtVhWtCkz4SjOncfOIm7l6yNWY9eY2x3nLyyl/9HfY1wtxrXHcWFKefLJ33cBATGBc9jOozxfrQ+YL58HOBvEkSbiHNYu4cDZ06b3sbMRT3YSrBlz1Olz1Otz1Ovyenun/UxmNIeIwdViYEJGFh6MOCw/9rJWQTBUejsZkQpeaii41tVcmozo8Pv6+6iivrM/HJ8mE6zU8MH8od87IQqdR4/VLHCizsjW/lq35dWwrqKfR6Q05h16jZvyg6IC714SMGMxn0G3L45M4WG5lZ6GIjdxV1NCuS5jFpOe8QdFMyIjhvPRoxqX1vUuYUl8G6cuysHvtrC5ezfL85Xxb+i0+ObS/Mysqi8mJkwOisDMpCKtz1fGPnf/g46MfIyNj1Bi5e8zdLB61GKMMvH4p3iO7KVybjNcqoc/MJP3NN9Al9LIITJZh19tiEpvXAeGxcOXzQvTUj5AlCefu3ahNJlxpcXxZsopPj33K3pq9gX2iDFFcmnUpVw65kpGWU4gG9bpEX07uFyIG01rSw7/iFFBpxNhPRyKAiKTge71ZicTrAI/LR31FUBhW3+wcZm9wd3iMKdoQFIQlmwJLo6nnIsmVtkMQKIejW4hc/39QKJxrickSEbQ9ZH5xriLJEv/J/Q/P7HgmZJJfYngimVGZZEZmkhWVRWZkJplRmSSbkvvWJczvFfXu9leDUZ8g4j4n3iEiiCNObjLhsHrYs6qIfWtK8brF81F0Yjjj5w9Ct/JtvB+9iVqjJu2f/yDiwgt75tplGWqOQt5qIfrKXx8qJG6N1thOPd7e+wTQGnrm+vo7siyc4Nb9GUp3iG0aPYy/RTj+xWSeyavrlygCsAGE0sj3DZLdTsMnn4BKRcxNN53xmWE9gtcFL82FqgMwdAHc/EGf3uS7fC6O1h8V0ZF1hzhce4ij9UdwS6EdSLF+P0P0MWQnT2FI2jSyo7IVodcZxOlzsqd6D9srRGTkvup9gVlTLcTozEzQxjDJ1sikymMMc7uCgjCVBtImQeZMkdOs0YNG1zwjSQcaHd5aO4X/9zLe8ho0MZGk/+kXGIdkt9q3ef/Wx2r0oNae9G9YqTMFSjkoKPQtTZ4mPjn2Ce8ceifgiqlRaZifMZ9bR9zKuPhxbe8t6gvgvZtEvIDGAJf/HcbfdOoX4XUKZ6/j38Dx1fiLDmCrMGAvN2IrN+B3hw7SG3KGY549B/Oc2YSNG9fzA02SH+zVrZzDWjmItRaKua2dnyfM0mxLPVQIwloEYlHpPTKLSakvgyhlMXDpaTcwn+Rja/lWVhSsYFXRKqye4P/ThPAE4fSVuZAxcWO6/dxU3FTMHcvvoNpZzZi4Mbx08UuYdKZTuk4A9v4H/vdj8LlEB/CN70LiyLb7+b3CaWbri2J91NVi8EqJh2gXWZbxFhdj37wZx5ovsW/ehN9xgstKVBSmKZMJP38qpmlT0Wdnnx3P0V1AqS8FSjn0f8pt5byX+x4fHfkoUJeHa8O5ashV3DziZjIiQ928ZVmm8eOPqXzyTwE3sOhrr0GflR0QJ+lSU9GYT6Pebg+vCzb8DTY8I1xqtUYYd6OIfWlP0OW2BiNhOkD2g9uqDQi9XPV6XA1aZF87949qMMQbMKZGoqcUvC4kQwJS1iVIPpAcjuDL6UC2t153hky6OG10OvSDBqHPzGx+ZWDIykKfmYkmLu6069nciiZ+88k+thWICZnDEyNIiDSwo7Aehyd08ka4XsPEjBimZArB17hB0Rh1/Vv4W2l1BQRhO4sa2NeOS5hGrWJUSmTAtWxSZgxx5t4dSFPqyyBnqiwa3Y1sr9jOtsptbK/YTm59bpt9MiMzmZQ0icmJQhCWEN77Dlteyct7h97j33v+HYiuvCTrEn468aehE8qsZfDiBXgqaihcPwhfowd9djYZb7yONr6XJn07G+DzB+HAx2I9azZc/aKYvNVPkD0eGj/7nNqXX8aTL4TEKoMBQ85wwkaNpik7gbWmEj5wbaTCUx04bkj0EK4aclX3IyIDXywLN7QjK4RDmK1SJEXKUnP7JDe/lzvYJp+wrZ19expd+AkOMUkduMYkiP54BVx2L3XlwimsvtxOXblY2hs7jmALi9QLYVhSqDAsLELX7TZcaTsEgXJ4JJpIgyScgGb9DKb/uF+4EJ4tFDcV8+dtf2Z31W7q3R0bdxg0BtIj04UgrFkU1rKM1Pfy32nNMdjxmhAmuxrENrUWRlwOk+4WY5In+X/msnvZu7qEvd8U43YEheFq/JiaSjE7K0i7bCbJ00YSm2YmPLKbzpH2WshfI1wjj69uKxYOjxMTsrPmgCUrWO8aIhWRbkfIshDRrf0zFH0rtqk0MPYGURfEDTmz19ePUARgAwilkVc4LSoPwIsXgt8Nl/4Fptzbt9/vcUD+2sDMGJ+tknydjjydljhNGINHXU/0tB9DVFrfXpdCl3H73eyr3iciIyu3s6dqT4h9OkCExshETQQTG2uZVFdGjsfDyWQEPpeaojWxuBt0qPUS6bNrCYvznuQomkVk+g5FYlaPiqgHNpzzdabSdigonBn8kp+1JWt559A7bK3YGtg+OnY0t4y8hQUZC9C17khzN8F/vweHPxfr038M8/+vazFmsizEY8e/Ea/Cb4UAIoAKksfBkHnIWRfgajRj27gJ2/p1uPbuE8c3o46MxDRjuhCEzZqJNq4PZz67m4RbmLUU6vKh5oh4VR+BxqKOj9MaIXaoEIa1FojFDhYRll1EqS+DKGUxsDldNzC/5GdH5Q5WFKzg68KvQzr84sLiuDjjYhZkLmB8wvjTnu15rP4Yi1cuptHdyPlJ5/Pc/OcwaE5j4LV8D7x/q6gzdCa46nkYdVXwc0cdLL0D8teJ9bm/EbGRSudal5ElCfcXz+FY+k/sJR4cVQYkb+jfgS4jnYh584mYN5ew8ePPancwpb4UKOUwcHB4HXye9znvHHqHvEYR96pCxey02dwy4hamJk8NGZT0VlRQ/ttHA25gJ6KJjg4RhIlXCvq0NHQpKahNpygQqzkGy34q+pG6gtYIxmgkbRQuaxiuei2uaj/uChfuiibkE4Q/IIQBxpxhGEeOxjhqJIYRIzAMHYpa3zy4U74X3v6OmMhgGQy3fwLRHbuWy7KM7HY3C8KcSA47citxmORwINlb3tsDwjHZ4QwRlvmbrHiLS5DdHbuNqE0mIQprFoS1fnVHlCdJMh/uLOHJLw5R7wj2w0SF6ZicaeH8ZoevkSmR6DQDOx3B45M4UNYoYiOL6tlVWB+IwmxNdryJKZkWJmVamJJpYZAlrEdFzUp9GaS/lEWju5EdlTvYVrGN7ZXbya3LRT5BdJMRmcGkxEnCISxxEommkzuMdIcNpRt4etvT5DcK4dIIywgemfIIExIntH9A0RZ4/TI8VonCjdn46u3ohwwm44030Mb2sHN28Vb46G5oKBKDrHN/AzPu73rkei8jOZ00LP2Q2tdew1cuJsGozcLdUrLZ2uyvMhrxZqVwJFFivbmMI4l+SuNApdEyI3UGVw6+kgsGXdD9iMjepLVQrCOxmMcO9ipoqhQiNFuliBMLLJvjxTxty6RTwmM7jhQzJ4i+mKjUXvnZAwG3wyscw1qJwurK7djqOm7DDSZtUBAWEIeFY4o2dNje9Jf68kwTFIBFEDn+Cljwx07vzRROn0Z3I/mN+RRYCyhoLAgsi5qK8Eodj+FZjJY2jmGZkZmkRqSiU/egsNTrhAOfCFewkmD/O3HDYNJdYiLJSdzhPS4f+9eWcnxXNXVlNnye9id0hEXosKSYiUs1Y0k1EZsqImF1+ub20OcRcY7HvxEipbLdhIh4NQbImAbZzQlKiaMHZixjf6Fgo3AEy1st1lVqMcFz1s8gcdSZvbZ+gCIAG0AojbzCabP5BVjxiOgY++46MUjamzRVitkvuctFJdx6MFofAUPni1zunEvBENG716LQ43j9Xg7UHggIwnZV7grEnrVgUuuZrInkYUMmabJazOD1e8VS8gbe++0uij+14iz3o9JC2nw/5mSPiPTxe4RwsZtY3TJRf2o65+tMpe1QUDjz5Nbl8s6hd1iWtyzgpBgfFs8Nw2/guuHXYTE2Ry5KEqx5EtY9LdaHzIdrXoGw6LYntVULu+sW0ZetIvTziBTxMDn4Qsi+AEztC7l8dXXYN2zAtm499vXr8TfHYLegiYtDGxONJjoGjcWCJiYaTUwM2pgYNDExaGLEtpZ1dVjXBVfdwuOA2qPCLrs6NygOqz0m2ol2UUFMc5Rkyyu+2TmsnZhLpb4MopTF2UF33MAkWWJ31W5WFKzgq8KvqHHWBD6LMcRwUcZFLMxayISECWh6eLBnf81+7l55Nw6fgwsHXcgzFzyDVn0aToT2WvhwcVDkNfNBmPtbUWe8d6NwXdSb4TsvQs5lPfETzk1cjbD6SeTNS3DVabDXROBwD8FxrArZE6yXNRYL5rkXEjFvHqZp01Abz66Z2Up9KVDKYeAhyzKbyjbx9qG3WV8aFHcNiR7CzSNuZlH2IsK0YYF9m776Cueu3XhLS8WrpKTNfWN7aGJiQsVhaanoW96npKAO78R9UZbh0P+E+MAYBcZocV9sjAZjFH6fFldBFa68YlyHj+I6dEi4vrTjwqWOjMQ4YgTGkSMxjhRLfWbmyQWqtcfhzauEsDgiRYjAersvDSG29VVU4M7Px1NQgKegUCzz8/GWloZM4DgRbXx8UBDWWiA2KA2Vrv0Bt3q7hw+2FxOu1zAly8KwhAjU6rNfHF3W4GRbQZ145deTW9nUZp/ESENADDY508LwpAg0p1E2Sn0ZpL+WRaO7kZ2VOwMOYYfrDrcRhKVHpDM5aTITEycyOWlyqENXNyi0FvL0tqdZVyLuWy1GC/dPuJ8rB1958nvuHW/AZz/B06ShcPMwfLWNGIYOJf2N19Fa2j7vdhvJL9wYVz8prBSjM0T/xKCei5g/HfxWK/XvvkvdG2/irxcTVjTxccQuXkz0DTegDg/HW1SEc/8BXAeCL8neNnLLq1ORlyCTl6QiL0lFZbqZ8ZMu48rh32FU7Kizy9nWbRNCsRZxWEeCMXsVSL6Tn0+lgcufhQm39/qlDyQ8Lh8NlY5WojDx3lrj7NDUTWfUhAjDYpLDsSSbiLAYabI19cv6sq8JtBs7PyXyvCvO9OWc0/glP2W2MvKt+UFhWLM4rNpZ3eFxWpWWtIg0MqMyyYrMCgjDMiIzsBgtp1ffVuyDba8Id/iWeEVtGIy+BibfBSkTTjr5T5ZkrLVOqvMbKHjxA+rq/NgjB+EMi2//9lsFUREeYnUlxHp3Eas+Rqy2gChNJSqVDAmjRN/84AshfbriPN8blGyHdX+BI8uD23IWweyfQ8p5Z+66zjCKAGwA0V8fihQGEJIE71wLx1dB0hi4Z1XPZgTLsnAaO7JciL5asnhbiEqH4ZfA8IWQMRO0/WgmjcJp45N8HK47HIiM3Fm5M2BZPiR6CO9c+k6n8UOSw0HJj3+CfeNGVDodKX/9C5EXXyw+lGXR8eD3dCgiC9nu92BtbCBq4jXnfJ2ptB0KCv2HOlcdS3OX8kHuB4GHYb1az2XZl3HLiFsYbmkeTNr/MXzyA/A5xWzKm96H6EFQtDko+KrYG3pybZiwtx48V7zih3fb0Ub2+3Hu3Yt9/Xpsa9fhOnCg279RZTSiscSgjW4RiImX1tL8PrA9Gq3FgiYqqsOBqC4h+YWYo+Yo1OQGHcNqcoU4oSPC44IRknHDIG44Vn0SUZljlPoSpe04m+jMDUyWZfbW7GVF/gq+LPySKkdV4LhIfSTzM+azIHMBU5KmnJ4gqwtsq9jG9776Hh7Jw+XZl/P4zMdPz13M74Ovfweb/iXW06eJzkCPTQxe3fR++/GQCt2nYh8s+5mY6QpIUcOxpX0P2/ZcmtasRWolEFGFh2OeOZOIeXMxz5mDJjr6DF10z6HUlwKlHAY2BY0FvHv4XT459glOnxOAKEMU1w69lhtzbuxQ2OC32fCWlgVFYaWleEtL8JSW4i0tC/n/3xEai6WtMKy1QKx5coG3qgrXwYO4Dx3CdfAQroMHhRCqvXPGxwmhV0DwNRJdauqpDyg1lsJbV4v7yzAL3PoRpHbgytMHSG433uJiPAUFbQRi/trajg/UaNCnpbUSh2Wiz8xCn5WJNiHh7BI4nCINDg87CuvZWlDHtvw69pU24vWHDnVEGLVMzIgJxEaOTYvqVhymUl8GGShlYfVY2VW5i20V29hWuY3DdYeRToieHRQxKOAQ1hVBmM1j48W9L/LWobfwST60Ki23jLiF7477LhH6bkySXvYz2PYyHlckhRvS8dXUYRg+nPTXX0Mb07njSadYy+Dj+6CgWSA8+lpY9IwQ455hfNXV1L3xBvXvvR8Qc+nS0oi9526irr4ataHjsQ5ZkvAUFuJqLQo7eLBdUZhbC/mJUJcRTcKE6UyacwNJIyee1c62IUgSOOvaisNaC8aspVCXJ1xXbnhHTPJX6BSfx099paNVjKSD+go7DVVOZKn9oXWtXo0hWubOP8zt9/VlbzNQ2o1zHZvHRqG1MFQc1lhAobWwTaJQayL0EWRFZjEidgTzM+YzOXHyqU1AdFlh339g26tQ1apvO3mciIcccy3oT+6YKzkcFN19D85duyAuiYinX6DJrab28DFqS6zUNoTh9LffZmu1MpbkMGLTY4hNMRObaiI2zUyYWRkT7zXK98L6v8DB/xFQ2g65CGb/AtLPP6OXdiZQBGADCKVxU+gRmirghengqIXpP4GL/3B65/N5oHCjEHzlLm8b0ZQ6UYi+hl0ibBeVDqVzBr/k51DdIX78zY+pcdZwSeYlPDX7qU47FSWPh7JfPETTypWgVpP8+ONEf+fqU/p+pc4UKOWgoND/8Pq9rCxcydsH3+ZAbfBBdErSFG4ZcQtz0uagqdgH798sOtT0ZmHp7w11WSRpTLPgax4MOh90Peuq4quvx1dZib++Hn99Pb76evx14r2/4YT1+npkbxfie9tBHRkpBGEBl7EYTNOnE7XoNJx5ZFnE9dQcaXYMaxGIHYXG4nYPUZwjgyhtx9nHiW5gcwfN5XDdYcrsZYF9zDozc9PnsiBzAdOSp4XG1PYBa4rX8MDqB/DLfm7KuYlfTvnl6Q9G7/sQPv2RENQCZM6C699s1wVQ4TSQJNjzHnz1KDhqwBAJN7yFPGgGjh07aPp6FU2rVgVieQDQaAifPJmIefOImDcXXUrKmbv+00CpLwVKOZwdWD1W/nv0v7x3+D1KbUJcpVFpmJ8xn1tH3Mq4+HHdqpf9TU14y8oCjmHe0tKAOMxbWopktZ70HJrmOHJ/TU27n+vS0oKuXiNGYBgxAl1CQpevscvYa8WEyrKd4t78pvcga3bPf89p4rdamwVhwZc7Xyxlp7PD41Th4egzMoi++mpibr0FlRJHA4DL62d3cQPb8uvYVljPzsJ6bO5QRxy9Rs24QVEBl7AJGTFEhXV8D6XUl0EGalk0eZrYVSUEYdsrtnOw7mAbQViqOTUgBpuUOIkUs7jPkWSJT499yrM7n6XOVQfArNRZ/GLyL8iKyur+xfi98OaVULgRtyqLwq/M+GtqMYwYQcZrr56a2D53uZiQ5qwTkeqX/hnG33zG+/Q9xcXUvvIKjR//N+A2axg6lNj77iPykoWotKc2YUWWJDwFhUIMtn8/zgMHcBzYh8rZNo3Cq1fjH5JBwoSpmEaPJWzUKPTZ2eeOKOxEZBn+9yPY9bZInLntExFvptBt/D6JhioH9eWOkCjJhkoHkl/G6bHzi9euGHD1ZU8zUNsNBYEkS1TaK0PcwlqW5fbyNm6bFqNFuNFnLmRC4oTuTxKUZeEkvP0VERPZkjJkiBTRkJPugoQRnZ7CX1dN4a234M4rRhuhJvOCcnQmf+BzhyqRWstCao3nU+vPorZOR125Hb+3/RjJ8Eg9sWlmYlNEhGRsqpmY5HC03ZhMoHASqg4LB9N9S5tjkxF9gbN/IZ7funo/I0nCAVXyNy99ze+lLm7zB8+h0Yu/NV0vJae0gyIAG0AojZtCj3F4mRhURgW3fwrZc7p3vKMOjn0NuV/AsVXgbtVppzWKDOPhl8CwBRBxahbYCmcPOyp3cM/Ke/DJPn4x6RfcPqpzS2jZ76f8d7+j8cOPAEj85SNY7rij29+r1JkCpRwUFPovsiyzp3oPbx96m68Lv8YviwfINHMaN4+4mauTZ2L++LsBVxXMiUGHr+wLwNwLg1uniCzLSHYH/oZ6/HV1QcFYfYNYbzhhvb5exAZ18uiQ8IufE3v33T1/sW6biI5siZFsFohZS48Q9WS9Ul+itB1nKye6gQGEa8O5YNAFLMxcyIzUGeg1Z3Y24rK8Zfxy/S+Rkfnu2O/yo/N+dPonrdgHyx8WE1PmPQp9LGw7p3DUwfu3QNG3oNbCFf+C8TcBop1wHTyIbdUqmr5ehfvIkZBDjSNHYp4/j4h58zEMGzpgnGisDQ1ExcSc8/Wl0m6cXfglP2tK1vDOoXfYVrEtsD3ZlExaRBqp5lRSzCmkmdNIMaeQak4lPiy+2zP0/VZriHtYa3GYt6QEyWYL7qxWo8/OwjhiZNDda0QOmqg+dKNxN4m+tPx1oDHAda8NmChhWZbxVVXhyS/AU5DfvGx+lZSAPziQZZo1i5Q/PYk2NvYMXnH/xOeXOFzRFIiN3JpfT40tVCSiUsHwxAimZFkCLmFJUcGJOkp9GeRsKQubxyYEYc2RkQdrDwae7VtINacyMXEixxqOcbD2IACZkZn8YvIvmJ12mmJSWzW8dCE0FuOOnk3hJmxVTAABAABJREFU0nr8tbUYRo4g47XXul5Pel3w1W9h64tiPWksXPsqxA09ves7TVy5R6h96SWsy5cH6qqw8eOJve8+zBfM6RXBqhCFFdCwZwdHNy3Hvn8f8SU2wjxt91WFh2HMGYFx9CjCRo3COHp01yKGzxb8PvjgVpEIY4yCO1coTss9iOSXaKx2UnS0kvGzBw/4+vJ0OVvaDYW2uHyugGvY5rLNfF30NY3uoJtwQlgCF2dezILMBd2elAKIyRy734Htr0J9fnB7+nSYfDeMuFykZckyVB2CvNUigaNgIz6bm8JVsXiadOjMPjJvjEc7dl5zrOO0NqIeSZJprHJQW2qnttQWeFlrOnA/U8lEp4aRMTye5CFRJA+OJjxScQo7bWqPw8ZnYfd7IkkKICJFuFa2EXa1I/bqaVQaSBgJKeNFNGXKecI0pydT2lqhCMAGEErjptCjfHY/7HhdVHjf33jyWfC1x4MuX0WbRCXYgilBxDoOu0QMSCs5xgon8M6hd/jT1j+hUWl46eKXmJw0udP9ZVmm6uk/U/faawDE/eAHxP34R926sVPqTIFSDgoKA4MKewXvHX6PD498iNUjhNUmnYmrsi/nZn0y6anni4eEATIg3hVkvx+/1XqCYKwe14GDNHzwAQCJj/4Wy80398n1WOvriLLEKvUlSttxtrOlfAsbSjcwNn4ss1JnYdT2rHvg6fLB4Q94fMvjAPx80s+5Y1T3JwIonEG8Lvj0B7BfTObggl/BnIfatF+e4mKaVq3C9vUqHDt3ig63ZnRpacIZbP48wiZM6L8DaLZqrG/fTtT3V5zz9aXSbpy95Nbl8vaht/ki7ws8Ujsj381o1VpSTCkBQViLSKzlfVxYXLee52VZRmoWiMk+H4ahQwNxkKeLLMs0eZuocdZQ66wVL1dtYL3GWUOtqxanz0mKOYWMiAzSI9PJiMwgIyyJ5JWPos1dJjrxr/yXcMYZwMgeD56SUuwb1lP112eQ3W408XGkPv00pmmKk0tnyLJMYa0jEBm5vbCe/Jq2UXKDLGEBMVhOrJYJQ1KV+pKzt+2we+3sqtrF9ortbKvcxoGaAyGCMLPOzPfGfY+bc27uOcfd8j3wygLwOXEPvovCf2/DX1uLcdQo0l97Fc3JyrfqMHx0N1TuF+tTfwjzf9drg5JdwbFrF7UvvoRt9erANtPMmcTedy/hkyf3+WSB/LrjfLPxbY5uXklcYQPZFTJZlWBsxwhdHR4uxMqjR2McPZqw0aPQpaefve6KHoeISi7eDBHJcPeXEJ1+pq/qrOJsrS+7i1IO5w5eycvmss2sKFjB6qLVNHmbAp8lm5JZkLmAhZkLGRk7snvtgSRB/hrY9ooY625pn8PjIGO6cAyzVYQeY07EGzeDwlcO461uwDBsGBlvvtFtl02X08POwwfYl3uU8qI6fDUaYhxJGH1t4yijEsJIGRIdEIRFJYT1aLvnPnqUmiUvgiyjS00Vr5SU5mUyamP/6ic8LRqK4dt/wI43gi5wp41KTHpUa8QzoVoT+v7Eba5G4ZZ/ImqdEE23CMJSzoP4EaA9fQGgIgAbQCiNm0KP4rHDktnCAWPklXDdG6Gd8pJfNHZHmkVfNaEztEkYJVy+hl8CKRPgbH2AUegRZFnmlxt+ybK8ZViMFv6z6D8kmhJPekztkhepfvZZAGJuvZXEX/2yyw/LSp0pUMpBQWFg4fA6+Dzvc9459A55jXkAqFBxWfZl3D/hfpJM54azZtXfnqV2yRIAkp98kuirr+r171TqyyBKWSicaV7e9zJ/3/l3AH4/7fdcM+yaM3xFCt1CkuCbx2DD38T6+Fvh8mc7dF/z1dVhW72GplWrsG/ciOwOdsppYmIwX3ghEfPnYZo+vf90RBZtgaWLsdaUKvHBKO3GuUCju5HjDccptZVSZisLLEtsJVTYK9q43ZyIQWMg2ZRMakQqqaZUUiNCXcRiDDGnNaghyzJ2rz0g3mot5qpz1YUIu2qcNXilU4suByF2S0NHuq2OdK+XjKGXkT7uVjIiM0gKT+q2E9oZR5Jgx2uw4W+4bCZKv1HhKW8ElYrY++4j/kc/RKU7+9wzZVkGn6/Hf1tVk4vtBfUBl7CDZVakVqMlkttB8bPXK/Ul507b4fA62F21m22V21Cr1NyUcxNxYXE9/0X7PhQiLsA15UmK/vA2/vp6jGPGkP7qK2giItoeI8uw8w1Y/oiITA+Pg6tegGEX9/z1dQFZlrFv2Ejtiy/i2NbsQKlSEbFgAbH33kPYqFFn5Lpa45f8bK3YyqfHP+Wb/K+xVLvILpcZXAnja80kljrQuNs6h8imMOTh2ahHDEU7KoewUaMxDsrAqDVi0BrQqQd4Peuog9cuhepDEDsU7loJJsVJsqc4V+rLk6GUw7mJx+9hY+lGVhauZHXRahw+R+CzNHMaC7MWsjBzIcNihnXvecJaBjvfFMKgprLgdm2YEIO1pHAkjACVCk9REYW33Iqvuhrj2LGkv/oqGnNb8VZrSppK2Fy+mU1lm9hasZUGd0PI5wnGBFJVmTQV+UluyibVNpRoe9tx07BIPSmDo0huFoXFpZlRa7o/Ji/LMvVvv0PVX/4S0u9yIpr4OHQpKehbxGEhArGUHpuY06fYa6Eur61YS60VrmBttmmE7kGlaSv26u5zqyyLv7eyXaEvZ13bfTUGSBoNyeNbicJyQNO9qGtFADaAUBo3hR6ndCe8cpGwM7zyeRh5hbC1zF0BR1eCoza4r1oLmTNh+KUwbCHEZJy561YYkDh9Tm794laO1B9hbPxYXlvwWpdihurefZfKx/4AQNSVV5D8xBOotCdv7JQ6U6CUg4LCwESWZTaVb+Ltg2+zvnQ9AGHaMO4cfSeLRy0mTDsAH7S6gSzLVD75JPVvvgVqNanP/JXIhQt79TuV+jKIUhYKZxpZlvnbzr/x2v7XUKHiz3P+zILMBWf6shS6y/ZXYdnPQJYg+0K4/k0wdl6nSA4Hto0bsX29iqY1a5Aag7EPqrAwzDNnYJ47D/MFc9DGxPT2L2iLLMPmF0REkuTDahpM1EO7zvn6Umk3zm18ko8qRxWlttIQgVjLq8pRhSRLnZ4jTBvWrnNYijkFs85Mrau2jYjrRPcudzdndEfoIogNixUvo1jGhcURaxRLg9ZAaVMphU2FFFmLKLQWUtxU3On36NQ60iLSQlzD0iPTyYjIINGUiFrVzyZP1hyDz34ChRsDmySfispdkTQcFwNaYSMGk/qPF9ANGnSmrrLHafpmNZV//CPeykrMM2cSuegyIubO7ZXBrCaXl11FDc2RkXXsOFbG8b9cq9SXKG1Hr/DVo7Dx76ANw3XhyxT97An8DQ0Yx4wh5pabMebkYMjORqXXg7NeJIQc/FQcm30BXL0EIvp+0pns99P01dfUvvgiroMiIhOdjqgrLif27nswZGf1+TV1BZvHxpeFX/LpsU/ZWbUTAJUkk1oLg8tlBpfLZFfIZFaCvh2ddJMRjieryEuG/GQNpalGHJYwDFojBo1BiMM0BowaIRI78X3r9aTwJOYMmoNJ17kYoVdpLIVXLgZrCaROhDs+A/0ZvJ7eoPa4+D/Sx79LqS8FSjkouHwuNpRuYEXBCtaVrMPpcwY+y4zMDDiDDYkZ0vWT+n1wZIUQsKZNhkFTQdf+xDP30aMU3nob/sZGwqdMYdCLS0ImqTW6G9lSviUg+iqxlYQcb9KZmJw4makpU5mWPI2sKNG+rS9dzzPbn+F443H0vjBGeSexwHg1xmoLVYVWJF+o9EZr0JCUFRkQhCVmRqI3dj5m6qupoexXv8K+TowzmGbNwjR1Kt7SUrxlZWJZWorkcHR6HgBNbGxQEJYaFIbpWwRipv5X98s+H6jV/ceNU5ahoQjKd4eKwlyNbffVhkHSmND4yLhhQozWAYoAbAChNG4KvcL6v8Kqx4SqFBn8rSz9jVEwdIFw+RoyT6wrKJwGxdZiblh2A02eJm4YfgO/mfqbLh3X+NlnlD3yS/D7Mc+bR+ozf0Vt6NyGXKkzBUo5KCgMfA7UHODpbU8HOhQTwxN5cOKDXJp1aZ/HHvQlsixT8eijNCz9ELRa0v71TyIuuKDXvk+pL4MoZaHQH5Blmcc2P8aHRz5Eq9byz7n/ZGbqzDN9WQrd5ciXsHQxeO3CRfqWpRCV2qVDZZ8Px/YdNK1aRdOqr/GVlQc/1GgInziRiPnzMM+dhz6ta+c8LVxW5E9/BAfEQKk84mqsM35HTEb2OV9fKu2GQmd4/V4qHBVB17CmEsrsZZQ2ifUqZ1WPfVe4NlyIuJrFXBajJbhuDN1+KhHIkixR5aii0FpIobWQooMfUVi+nSKdjmK9Hi8dd4sbNAYGRQwiPaKVMCwyg/SIdBLCE/r2vt7vg03/gjVPgs8FunCY+1sIi4HDn8OxVVjzZMq3RSN51aj1MsnXjyXy+rsha06Hg2L9HW9pKRV/fBLbqlVtPlOFhxMxfx5RixZhmjat11zPquvqSYi1KPUlStvRK0h+ePd6OPY1RKXjuuAlir73AP5Wgnp0OgyDkjBoSjCaGjDESBiveADtgof6POFD9nho/Owzal96GU9BASAE/zHXX4flzjvRJQ0cB/QiaxHL8pdRZivD7XPj8rtw+924fC68HhfRZVYSCptIKXEyqNRNWqUfbTva6IZwyEtWcTypeZmsosHctfbBqDFy4aALWTR4EdNSpp0ZV7HqXHh1gRAYDpkPN73foQvwgKK1w7ExCibcDlPu67OoS6W+FCjloNAah9fBupJ1rChYwfqS9SFx9UOihwTEYJlRmT36vc59+ylavBjJbid8ziwqfn0Hm6q3sbl8MwdrDyK3eh7QqrSMjR/L1OSpTEuZxqi4UR3WzT7Jx6fHPuW53c9R7awGYEzcGB4c91NSXUMoP9ZA+fFGKo434naEOk2q1CriB5kDgrDkwdGERwbNN5rWrKH8V7/GX1eHSq8n4aGHiLnl5jbPH7Is429oaCUIKwsViJWUINnbxp2fiCYmppVA7AQHsdRU1AY9ktuN7HIhu92B95LLjex2Na83v+/CNsntEp+5XEgej1iesA2fD7XZjGn6dMyzZ2GaNQtdYucpVX2OLEN9PpTtDgrCyveA29p2X104JI8TYrAWt7DYIYF7OUUANoBQGjeFXkHywxuXB2f7xWRBzmXC5St96tlxg67Qr1hXso4frfoRMjJ/mPEHrhpyVZeOa/pmNaUPPIDs8RA+dSpp//pXpxarSp0pUMpBQeHsQJZlviz8kme2P0OZXdhSj40fy8OTH2Zs/NgzfHW9h+z3U/bwI1g//xyVXs+gJf/GNG1ar3yXUl8GUcpCob/gl/w8sv4RVhSswKgxsuSiJUxInHCmL0uhu5TtFoORtkqISBYisKQx3TqFLMu4Dx2iadU3NK1ahfvw4ZDPDUOHoomKEpFefj+yLIFfAklClqT2t4Us/SA1H3vCZ4Ft/rbWDTa/nynHjp7z9aXSbiicDm6/m3JbeSBS8sSISafP2cah68T3LS5e4brwvv8B216GZT/Hj0zFqCsonHYfRbZSIRBrKqLIWkRJUwk+uW0kWAth2jAGRQwiIzKDQRGDSAhPaCNaM+vMPSMSK98L//uRGEwA4dB4+d9Dnf49Dji+Cs/GpZS+vhlXjZhdHj3ETuIUP+oRF0HOIhh68UmdHTtClmWcPif17nqi9FGY9ebT/WUdf5fHQ+0bb1Dz/AvITidotcTeuZjISy7B+uWXWD9fhrck6NCgsViIXLiQyEWLCDtvfI+K85T6MohSFr2Esx5emitijjJn4Z75DPUffIj78GFcublI1nYGERFxT8bhORhzhmNoXuqzsrqUwtBdJIeDhqVLqX3tdXwVFQCoIyOx3HorMbfdemZcXvsYyePBlXsY2949OPfvw33gIP7j+eJe9QR8sZE4h6Riy06kMSuOuqwYbCYNbr87IDbbW72XAmtB4JgYQwwLMhdwWfZljIsf17ci4+Jt8OYV4HXA2Bvgqn/3ubiwR/G54ZPvw/6PQrer1DDicpj6Axh0fvcjwbqBUl8KlHJQ6Aibx8aakjWszF/JhrIN+KTgfXeOJYcFmQtYkLmAQRGn52gryRK5dbkcWLWUYX/4AJ1X4tsRKv5+hRpZLeqAwVGDmZYyjanJU5mUNKnbzowOr4M3Dr7Ba/tfCzicXTDoAh6c+CDZUdnIkkxduZ3yYw2UHWuk/FgDtvq2DsXRieEkZZox5W5Et/IdwpzVGIcPJ+XPT2McNuyUfr8sy0hWa4hjmCcgEBPbOrrP6I8Yhg8XYrCZswifcF7/jL2XJHFPFxCE7RZ9bN52hHj6iGZR2HiskcOJmn6HIgDraxoaGnjyySe56KKLsFgsTJhw8k5spXFT6DWcDXB4GaRNEraBZ7GbiEL/4IXdL/D8nufRq/W8delbjIwd2aXj7Fu2UvL97yM5HBjHjmXQkn932Cmg1JkCpRwUFM4uXD4Xbx18i5f2vRR4CFyUvYj7J9xPkmngzI7tDrLXS8mDD2L7ehWqsDDSX3mZ8C7cO3cXpb4MopSFQn/C6/dy/+r7WV+6HrPOzKsLXmVE7IgzfVkK3aWhCN65DqoPi06p698QLtOniKekBNuqVTR9vQrHjh2iU+wMoAjABEq7oXDOs+9D+O93QfIJJ/3rXgd9UIzmk3yU28opbGp2DrMWBaIly2xl+OV2ssFOwKAxBOIpLWGWkLjKE+Mr2xXCeV2w7mnY8CzIfjBGw8InYdxNnfYDyi4H1U/8ktqlX4rriPKSOr0eQ5QPNHrhCDZiEf5hC2jUGah31YuXu77d9w3uBupcdTS4GwJxmhqVhjFxY5iWMo3pKdMZHTcarbpnRCf2rVupeOwxPMeOAxA+aRJJv3sUw9Chwd8oy7j27KHx82VYly/HX1sb+EyXmkrkZZcRdfmikGNOFaW+DKKURS9SdRhengcem3ApuvTP0FiK/NE9+A5twdWgxW04DxdDcB89jqeoSLhOnIBKr8cwZAiGnFBhmCbq1FJC/I2N1L3zDvVvvoW/oQEAbXw8lsWLib7hhk4n+p4LSC4X7sOHce4/gGv/flwH9uM+ntfufa42JZmwUaMxjh6NcfQodOnpHK0/wuqi1awpXo3V1Yiq+Z80pTkeck7KbFLNKWLChAwgi3/35ldguyyLCPcTt7ezvzY+HkNWOxGdR7+Cd28Q7c30H8PFj/dewfUmjjr44FZhnqDWCsF0eBxsfh7y1wb3SzlPCMFGXgVafYenO1WU+lKglINCV7B6rHxT9A0rClawpWxLyCSMUbGjWJi5kAWZC0g2J3fpfGW2skCk45byLdS76wEYd1zi4Q8ltBIcnZkBj3yfqSnTSAhP6JHfUeOs4YXdL/DR0Y/wy340Kg3XDL2G74//PnFhcSH7NtW5hEPYsUbKjzdQW2bnRGNig9pD6phkUoZZSB4SRVyaGbWm58W5/qamVo5hpW0iJkNcSQGVwYDKaESt14ul0YDKYERlNKDWG9puMxhRGQxttxkNqA1im9oojlMZmrcZjagNBjxFRdjWrce2fh2uvftC7n3UJhOm6dMwzZqFefbs/u1CKvmh9lhodGT5XmgViWp1y0T9qUkRgPU1F110EV999RUATz/9NA899NBJj1EaNwUFhbMFSZb4yTc/YW3JWlJMKXyw6AOijdFdOta5bz/F996Lv6EBw9AhDHr5FXSJbW+qlDpToJSDgsLZSbWjmr/v/DufHhcxVEaNkbtG38Xi0YsJ04ad4avreSSPh5Lv/wD7xo2ozWbS33idsFGjevQ7lPoyiFIWCv0Np8/J97/+Pjsqd2AxWnh94etkRbUz0KDQv3E2iAGUgvWg0ogBlAm3nfZpffX1OLZvFw5dKjUqjVq4DKjVqNRqUGvEtg4+Q61CpdGE7q9WiQGr9X9Gte8DUIMqYwZc8TcwxQX2b7LZiElOPufrS6XdUFBARN7+5zYRqZg+HW5+X8REnQSv30uprZSipiIKrYUUNxVT46yh1llLrauWGmcN9vZmeHdCmDYsVBzm8xObt55YWzWxfj9x6TOIveC3xMXldBiF6fQ5Q8Rbrk1bSPjLe+ga7Ph0KjZeqGbTSDd1Gg0NGjWNajXyKUwo1al1eCVvyDazzsyUpClMT5nO9JTpDIrsvluDr7aWqqf/TOOn4nlJY7GQ8NAviLryyk6dcGSfD/umzVg//5ymr75CcjgCnxmGDydy0WVEXXYZupSUbl8TKPVla5Sy6GUOL4P3bxbvJ98L+z8U7mB6M1z2Vxh3Y2BXyW7HffQorsO5uHIP4z6cizs3N+TvvzXa5GSMw4djyBmOMScHw/Dh6NPTxf1RO3irqqh7/Q0a3n8/cE5dejqxd99N1FVXojYYeva3n0VIdjuuw4dx7d8fEIZ58vPP9GWFkPCLXxB7911tP9j9HnzyPfH+oj/AjJ/07YWdLvUF8Pa1UHsUDJFww1uQfUHw88oDsPkF2PsfaBY0Y06CKffAxDvBFNfeWU8Jpb4UKOWg0F0aXA18XfQ1KwpWsK1iG5IcFNSOix/HwsyFXJx5cYhoq9HdyLYKEem4uXwzhdbCkHOGacOYnDSZacnTmHLIj/+3T4MkYbnjdhIeeaTHHRfzGvL4286/saZ4DSAi7+8cfSe3j7y93UkfsiRR8cpbHH9rOQ2mDBrjcrBGZLTREmv1asKjDOgMGvQGDVqDBl3rl16Dzhhc1+qb3xtbfd5qXaNVd+m3+2128HmFQEuvF30wZwBffT32DRuxrV+HfcNG/HV1IZ8bhg7FNHsW5lmzCJ8wAZW+58W9PYrfBzVHAoIw6/FtRN2/ThGAdcTOnTu599572bFjR8j2vLw8PvzwQ7Kzs8nLy+O+++4jOjq6S+f8+uuvWbp0KQ8//DAWi6XLxymNm4KCwtmE1WPlxs9vpLipmGnJ03hh/gto1O13FJyI+9gxiu66G19VFbq0NNJffQV9enro+ZU6E1DKQUHhbOdA7QGe3vo0O6t2ApAYnsgDEx/g0qxLUasGsMV+O0hOJ8X33odj+3Y00dGkv/nGKVtWt4dSXwZRykKhP2Lz2Lhr5V0cqjtEkimJNxe+2eUZmwr9CJ9HRI/t/UCsz/4FXPjr/udC3VAE/7kDynYCKpjzEMx5WAjGWqHUlwKlHBQUmincJBxP3I0i6vbWj8F8+i4ATp8zRBBW66xts17jrKHWVRtwCe4qJp1JuIoZLbj97oBLV3vnibLL/PAzifH5ovv/2xEqlixU4zQG6/Aov58Yv0SMxki0ORmLZSjRMdnEGGOwGC1EG6LF0hhNjCGGMG0Y5fZyNpVtYlP5JjaXb6bRHeoMkGpOZXrKdKalTGNK0hSiDB0L62RJouE//6Hqmb+JCBqViugbrifhgQfQdLEPvgXJ6cS2Zg2Nny/Dtm4deINCtbBJE4latIiIBQu6FVen1JdBlLLoA9Y8BWv+GFxPHg/Xvgqxg096qCxJeEtKcB0WgjBXbi7uw4fxlpa2u78qLAzD0KEhwjB1RAT177xL48cfIzf//zEMH07sffcSuWBBr8RLngv4m5pwHTwUcAlz7tuPr6pKTHJQqVCBuLdWqZBV4JP9eCUvXtkXMISRVaDT6NBrjRi0BlQqdeAY8QIVqhO2tdquVoMk4SkUwojkx/9A9LXXtr3Yjf+Ar34r3l/1bxh/U18U0elTukO05/ZqiEwVEfaJHUxCtNfA9tdEJLRNRJqiMcDY62Hq9zs+rhso9aVAKQeF06HGWcPXhV+zsmAlOyp3IDfXiCpUTEicwKjYUeyq2sWB2gMhQrEWp9qpKVOZljyNMXFj0GmCUYENH/+X8l/9CoC4H/6Q+B//qFeuf3vFdv66/a/sr90PQHxYPD8c/0OuGnJVYFzVW1lF+S8fwf7tJgDM8+aR/PgfwBxJVWGTcAk73kjF8Ubcjo7j6U8FlYqgeMyoRatXN69rm5fqwPuwCB2maAMRFiPmGAPhUQbU6jPXJyRLEq4DB4UYbN16nHv3hrhvqsPDCZ82DfOsWZhnzzrliSB9SU/Xl2eVAKxF4DVx4kRO/FkTJ04MiMLy8vJ4+OGHWbp0aZfO++KLL7J06VKWLFnCzp07qaur47777jvpcUrjpqCgcLaRW5fLrV/cisvv4t4x9/KTCV2fCeQpKaHorrvxFhWhiY8j/ZVXQoQASp0pUMpBQeHsR5Zlviz8kme2P0OZvQyAsXFjeWjKQ4yLH3eGr65n8dvsFN11F669e9HEx5H51lvoMzN75NxKfRlEKQuF/kqdq47FKxaT35hPRmQGry98vY31vcIAQJZh9ROw7s9ifewNcMW/eiUu5ZQ4+hV8fK9wyQiLge+8DEPnt7urUl8KlHJQUGhF+V54+zti0NgyGG7/BKLTT3pYT+HwOoQY7OgKajb9g1p3PTUaDbWJOdTEZVPnaQqIxVoiGDtCp9YRY4whxhAjlsYYYnTRjP0qj6wPNqHyS0hJcegefwTL0HSi8zegPbwMCr8VLootRGdAziIYsQgGnd9GTNsav+TnUN0hNpVt4tuyb9ldvRufFBygUqvUjI4bzbRkERc5Jn4MOrUYhHMdPEj57/8P1969ABhGjiD5t48SlpMJrkZwNYils3mpNcCgKeL6TiJE9jc2Yv3yS6yffY5j27ZgZIxWi3nmTCIXLSJi7oWow9uJ32yFUl8GUcqiD5AkcU+z/yOY/iOY++hp32/5m5pw5+biOpyLO/ewWB49iuxydXpc2IQJxN53L+Y5c3rcHUWha9Q6a1lZsJJlecvYW7M3sD1MG8YFgy5gUfYipqVMC9SpXaHqr3+l9qWXQa0m9W9/I3LBxW13Wvlr2PQv4QB80/swrJ19+hOHv4CP7gavQ4i5b14KkV2YeOTzwMFPYNNzUL47uD1rjoiHHHqxEM6dAkp9KVDKQaGnqHJU8VXhV6zIX8Hu6t1tPs+KymJa8jSmJk9lUtIkIvQRnZ6v7q23qXziCQASHnqI2Lvu7I3LRpIlviz4kmd3PkupTQiyh0QP4cGJDzL+oJuK3/4Wf2MjKqORxF/+kujrr2u3zZUlmYYqBy67D6/bh88t4XX78Lr9eNx+fG4/3pO8fB4/Xpcfn7dtTHF3UalVmKL0mGMMmGOMwaUluB4eoRdO7X2Ar74e+7ffYl+3HtuGDSHx8AD6IYMxz5qNedZMwiZNQt0P3cEUAVgXUKlUIQKwvLw8rrvuuhBXsJiYGOrrRe7rhx9+SF5eXpvzXHvttWRnZ/Piiy9y/PhxnnrqqTbHdobSuCkoKJyNLMtbxiPrHwHg2QufZV76vC4f662qoviee3EfOYI6Kor0F5cQNk6IHZQ6U6CUg4LCuYPb7+atg2/x4t4XAzP2L8u+jAcmPECSqR/n1ncTf0MDhXcsxp2bizY5mcy330KXmnra51XqyyBKWSj0ZyrsFdyx/A7K7GUMjxnOqwtfJVKv/J0OSHa+BZ/dL0QCmbPghrchLPrMXY/khzV/ahamyZAyAa5/o1PhhlJfCpRyUFA4gdrj8OZV0FgknENu+y/ED++b73bUwYpfwt73xXp0hojcHXxhyG6yLGPz2gLuYXWuOoxaIzGGGKKNwqUrXBveoVDDuWcPpT/9mXAD0mqJv/8nxN59t4hxcdTBkRVw6HM4vkrEYrZgiofhl0DO5ZA9R4iwOvs5XgfbyzbxbfFavq3YSr491H3IpNIxQ4rhytVO4rfWgwxqvYr4ySpiBjeh8liBkwxXRCRD+lRInyaWiaM7Fal5KyqwfrGcxs8/w33wUGC7KiyMiHnziLp8Eabp01Hp2ooolPoyiFIWfYQsg8cGhs4Hr0/rK/x+PIWFuA8fxpV7pHmZi6+yEtOsmcTddx/hkyb12vcrdJ9CayFf5H3BsvxlIfFmFqOFBZkLWJS9iDFxY04q1pNlmYpHf0fD0qWodDrS/v0C5hkzQneSJBEFufcD0IXD7f+DQZN742edPltfguUPgSzBkPlw3evd/78jy1C8BTY/D4c+E+cCsGTD+d8XLmjdPKdSXwqUclDoDcpt5XxZ+CUF1gLGxY9javLUU+pHr/n3EqqffRaApP/7P2JuuL6HrzSIx+/h/cPvs2TvEty2Ru5YJTF/t7jfNY4cScpf/owhO7vXvr81kiQLwVizICwgEjtx3e3D55HwuHw4rR5s9W6a6l3YGzzI0smlRWqNClO0oa1ILCboJGY063pcZC5LEq5Dh7CvX49t3Xqcu3eHuIOpwsMxnX8+5tmzMM2ajT7t9McoegJFANYFThSAtTh4ffXVV4FtgwcPZunSpUyYMOGk58vLy+Opp55iyZIlNDQ0MHHiRI4fP95mP7fbjdsdnIlltVoZNGiQ0rgpKCicdTy19SnePvQ2Jp2J9y57j6yorC4f629ooPi738O5Zw+q8HAGPfcvTNOmnbMPBErboaCgUO2o5h+7/sGnxz5FRsaoMXLn6DtZPGox4brOZ6QPFHy1tRTeehue/Hx0GelkvPUWuoTTi9c5V9sNUNoOhYFHkbWI25ffTq2rlvHx41ly0ZKzpn475zi2SkQtepogPkfEq/ShU04Aew18dA/krRbrk++BBX88qTDhXG07lHZDQaELNJbCW1dDTS6EWeDWjyD15P3Gp4wsw4H/whe/AEcNoBKOI3N/DXpTr3ylv6mJit/9DusXywEwTZ9OytNPoY1r5c7psYu6/vDnQhTmahXvqI+AoRdB7JC27lyt11vFUVZoNGwKM/JtmJHNRgMjj6i542uJGLv4fGcOFE91MUHt5HyXm6iWARqtEYzRYIwSYmNjlBCqle8G6YQIHH2EcAZrEYSlTgR9+/cZ7uPHsS5bRuPny/AWFQW2a6KjibhkIVGLFhF23nlCGMe5226A0naci8g+nxLz2M+RZZn9NftZlr+M5fnLqXPVBT4bFDGIRdmLuCz7MjIiMzo+h99P6c9+TtOKFajCw8l47dXABO0Afi+8dyMc+1o47N61su+E0V1BkkRU5aZ/ifUJt8Nlz4Cm625o7dJQBFtfhB1vinhoAEOkOP+UeyEms0unOVfbDqXdUBhIyLJM9V//Su3Lr4BKRcqf/0zUost69Turd26m4KcPYK5oRAL+N1VF0x2L+NHkB0gx9/+YQhACMqfVQ1O9C1udG1u9C1u9u/kl3jsa3XRFfaTRqjHFGIgIEYkF3cQi48LQG0/vvsTf2Ij922+xrVuPbcN6/NU1IZ/rs7Mxz5qFadYswidPQm3ovE+pt1AEYF3gRAHY008/zVdffdVGALZkyRLmz28/FuBEXnzxRSwWC3l5ecyfP79d4djv/5+9e49vqr7/OP5Or7RCG1JBQEFIveHwQtpO3X5u/iSd0+nmpaWbl3kbre7qtZHdnNt+1tTL7tOWuTnv0KBu6i42uE03L4MGr+CFBhAF5dKmBXqhl/P7IzZt2rRNekuTvJ6PRx/Qk5Pz/Z6T8H1z2k++3x/9SLfccsuA7YQbgHjT0d2hr/39a/Ls9Cg3O1cPfeEhHZQa/g8ou1ta9P43v6X9L7wgU2qq5tx1p3TSSQl5Y0R2AOjx5p43VfnfSnl2eiRJMzNn6tq8a3XWgrOUZBrZtPOTScdHH2nrRRer4/33lXZErg5/4AGlTJ8+4uMl6g/UJLIDsenthrd1+d8v194De/WpOZ/Sr07/ldKSJ9+06wjDh69LDy2V9m6Xph4iXbhKmnPixLW/7b9SzWVS8wf+WQnO+YV0fHif1k3U7CA3gDDt3yM9VCRt90hpU6WvPCIt+MzYt9O8Q3r6euntp/3fzzjGv7TuBMywYhiGmlav1oc//T8ZbW1KPvhgzXHeNnAGGMlfALDlef/MYG89Le37MLLG0rOljGxpSrbaWzL1odunFu9eSVJDToruKZRe6fN5QpNMWjT9aJ0851P61GGn6oQZJyi1/y/zD7T4X5/3XpTee8mfCe3NwfskpUizTwyeJeyg4CWoDcNQ2+uvq+nJp9T817+qa3fvL4NS58xR1he+oKyzz9aB2bMSMjcksgOY7Dq7O/XSjpf0lPcpPfves4GZ5SXpuIOP0xesX9AZ88/QwRkHD3hu94EDev/qr2v/f/6jpOxsHf7A/Zpy1FHBOx3YL/3xHOmDOinrMOnKZ6TsSTBTSker9HiZtOFP/u9P/4F06vXDLg0ckfZ90quPSC/fI+3Z5N9mSpKO+YK/WHveKUO2xz1HsES7DogdhmHow1tuke/RlVJysg771a807fT/Hf6JkbbT1aU9v7tXu371K6mzU6aZB+tvlxyle9P+K0lKS0rTRQsv0pXHXans9Owxb3+idXd1a3/Tgd6isKBCsY+LxJoPDHsck0maMW+a5hxp1pyjpmvOEdlKzxx5oa/R3a32t97Svuf/rX3PP6fW9a9IXV297WVk6KBPflKZp5ystHmHK/XQOUqdPVvJEzB+UQAWhnALwJxOp4qKisasXaqbASSS3a27VfJkiXa27lTh4YW687N3RjRdZ/eBA9p+/Q3aW1srJSXpoO99T4dffFHCjZlkB4C+DMNQ7dZa3VV3lz7Y518u5fiDj1f5J8t1wowThnn25Hfg/fe19aKL1fnRR0o/dqEOv+++Ed9EJeoP1CSyA7Hr1V2vatkzy9Ta2arCwwtV+ZlKpSQxy0BMavpAeqhY2vmmlHqQf7mVoz43vm0ahvRylfTM9/yzv+QcKZU8IM1cGPYhEjU7yA0gAu17pUcvlDY/JyWnS8V/8P/CdywYhuS5X3rmB/6ZRZJS/b+0PvW6YWcwHGvtmzbpg2uvU/u770qScpZ9TTO+/e2QyyBK8s+2st0jvf0X/yxfGeaBM3RNMff+PT1LSkpWd1ub9lRXa8+K38no6JApLU05V5Up52tfU5upU3Uf1emF7S/oxe0vqr4peMWNzJRMFcwq0ClzTtGn5nxK87PmD/y5U3eX9NGb/mKw9170f+3dMbD/Bx8VXBA2fUHgl/dGZ6f2v/yymp96WnufeUbd+/cHnnZgwQKd+Le/JuR4SXYAsaOlo0XPbntWT3uf1ovbX1SX4f+FdrIpWSfPOVlnW8/W6XNPD5qFubulRe9dcaVaX3lFKTNm6PBHHlbaYYcFH3j/Hun3Z0h73pVmLJQu/4uUaZnIUxvYn0e/4l+yMSlVOvdu6fji8Wuvu9s/C9pLv+2deViSZp/gLwT7xHkh85t7Dj9yA7HA6O7W9ptuUvOfn5QpLU1zq6t00Mknj9nxO7Zv1/Zyh1rWrZMkTTvjDM2+5UdKNpv15p43dde6u/TfD/2FYNnp2So9rlRfPubLcf+Bya7Obu339ZtBrKFNe/sUibXt6wh+kkk6+LCpmnOEWXOOMmvOkWZlTB35depqbtb+F17Uvuef0/7n/63OnTtD7pc0dapS58zp8zU78PeUOXOUcvDBgdmDR4oCsDCEWgKyqqpKdXV1gW3Tp09XTU1N2DOAjUSihjyAxPHKzld0+d8vV2d3p67Pu16XLbosoucbnZ3a8cOb1fTYY9rX1aVPbno34cdMsgOAJLV3teuBDQ9oxWsr1NLZIkk6a8FZujbvWs06aFaUezc67V6vtl58iboaGpRx4omad+/vlHRQ5MvcMF724loglry4/UV9Y8031NHdoXOPOFe3fOqWSTHL4a6WXXpt92s6bOphOtoyiZY3mczamvzLQXr/4f9E/Fl3SAVXjk9b7XulP39bevMx//fHnit96ddS+rSIDsN46cd1AIbR0SatvtK/DKIp2T/enHjh6I7Z4PWPY1ue939/aJ5/1q9Djh19f0eou61NH912m3/WA0lTTjheh95558ACgBHa99xz+vAnP1XHtm2SpINOPVWzfvB9pc0LvXTwR/s/0os7XtQL21/QyzteDlraTPIvb1ZydInOP/J8TUsbZPw3DP8SXoGCsJekXRsH7jf1kD4FYadIhyySklPU3damff/8l5qffkr7/vkv7W1r42dVHyM7gNiwu3W3/r7l73ra+7Re3/16YHtGSoaWzFuii4+9WJ/I+YQkqcvn09ZLvqr2d99V6rx5mv/Qg0qZMSP4gL73pHs/5y+unXuydMnjgy6zO6721Ps/gNJQ7y80LnlIWnDqxLW/c6N/RrBXH5U62/zbph4i5V8p5V8hTe29boyXflwHxAqjs1PvX3ON9rnX+JfG/f29yjjxxFEft/kvf9GOm3+k7r17ZcrM1Kzvf1/Z550b9IEGwzD0/AfP62d1P9Mmn3/GwUOnHqprbNfojPlnRDTpxmgYhqHmA83a07ZHe1r3qKGtIfBnenK6ZmTO0MzMmTok8xDNzJypqalTx71vexvatP1dX+DL91HLgH0scw7yzxD28ddB2SP7UI1hGGp/+23te+55tb3+mjo+2K6OHTvU1dg47HNNqalKmTNbqbPn9CsU+7hYbNYsmdKGLlSjACwM/QvAvF6viouLBxSAbd68WWazedz6QbgBSASPvvWo/u/l/1OSKUnVhdU6afZJET3f6O7WTmel3vv97/mhmsgOAMF2tezSr9b/Sk9sekKGDE1JnqLLFl2myz9xedAnN2NN29tva+tXL1V3U5MyTzpJc6vuUdKUKREdg/GyF9cCsWbN1jW6/l/Xq8vo0iXHXqIb82+csB9qSVK30a1Nvk16ZecrWr9zvdbvXB+YddEkk0qPL9XVJ1yt5KTkCetTzOrqkJ68RnrlQf/3n75GWnKzNMpPPwbZ+Za06hJp9zv+Zb0+91PppKtGtMwL46Uf1wEIQ1en9OS3pVce8n//+dukk6+O/DjdXf6ZQ579P6mzVUrJkJb8wD+OTZKcaf77M9rxgx+ou7lZSVOnavZPfqysM88c8fE6PvxQH91aob3PPCNJSjnkEB3y3e9q2ucKw877bqNbbze87Z8dbMeL8nzkUUe3fxaAjJQMfSn3S7po4UWanz1/+IO1NPiXinzvBX9B2AceqbvfjAJpU6XDCnpnCDssX11tXfrgiSd0+KWXMl6K7ABi0dbmrXra+7Se8j6lbXu3BbafPPtkXXnclTpp1knq3LVLWy+6WB3btin96KN1+P1/VHJ2vyXIPtog/eHz/g+AHHWmVPKglDyBMzlv+6/0yJellj1S9jzpYpc0I0of2tm/R/LcJ/13Re+Mk8np0nHF0slXSbOOY7z8GNcBsaT7wAG9f9XV2v/CC0rKytLh9/9RU445ZkTH6tq3Tx/95Kdq+pN/qdopxx+vQ2+vVNrhhw/6nM7uTv1p05/0m1d+o12tuyRJi3IW6fr865U/K39E/ejo7lBDa4O/mKstuKgr8GfbnsA+nUZn2MfOSMnQzMyZmpk5UzMyZgQKw2Zk9vl7xoyBy7mPwv6mdn8x2Ds+bd/kU8P2/QP2MR+SGSgGO/Qos6ZOj+z3Df11t7SoY8cOdWzf7i8K27699/vt29X50Uf+2SKHYjIpZcaM3qKwQ+coZfbsPkVih2p/dxcFYMMxmUxqbGwMKu7Ky8sLFIB5vV6VlZUFLQk5Hgg3AInAMAx9/z/f15/r/6zp6dO16pxVEc9OYxiGtj38SEIuAdkf2QEglA17Nsj5X6c8Oz2SpJmZM3WN7Rp9wfqFqM2cYxiGWjpb1NjWqOlTpuug1Mhm8Wp97TW9d9nl6m5p0UGf/Yzm/upXw34api/Gy15cC8SiP9f/Wd/79/ckSd848Ru66oSrxq2t1s5WvbH7jUCx16s7X9Xejr1B+5hk0rysedravFWSdNLsk+Q81amcjJxx61fcMAzpudulf/yf//tFF/iXYxmL5cxed/lnzOnYL02b419qcl5kHzjpi/HSj+sAhKm7W3rm+9JLv/F//5ly6X+/G34B6kdvSn/6pn/pREla8BnpnF9KlgXj099R6PjgA31ww41qXb9ekmQuLtYh312upIyMsI9hdHSo4YEHtevXv5bR0iIlJ8vy1a/q4G98Q8lTI5/xt6+Wjhb9ZfNf9NDGhwKzI0jS/xz6P7p44cX61JxPhV9M3tEqbV/fO0PYey/7l+Tsy5QszT5BzTk2ZRfdxXgpsgOIZYZh6LXdr+nRtx7VXzf/NbBE5LE5x+qKRVfoM6aj9f7FX1Xnrl3KWLzYP1N7Zr8PHW59UXrgXP/sV4sv9s9iOREf4tnwZ+mxZf52Z58oXbhKmnbI+Lc7nK4OacOf/EXeH/ROPqL5p6p50WXKLihO+PGS3ECs6W5p0XtXfk2t69crOSdHhz/wgNKtkf2/vWX9em0vd/hnwE1K0sFXlengq68efJn1/s/vaNH9G+7X79/4vVo7WyVJp809TdfmXasFWQvU0tkSVMS1p21PoIirp8ir57HmA80RX4NpqdOUk5EjyxRL4Ku9q127WndpZ8tOfdTykfYe2Dv8gT5mmWIZtlDMnG4e0YdCW/ce0PZN/oKwD971ac8H+6R+VU9ZB0/RnKOm69CPi8KyDg7/3iYcRkeHOj7aqc4d2wNFYf2LxYw+S+MOpmXqQcqvq6MALBS3263a2lpVVlaqvLxcBQUFKioqkuQv+qqqqlJBQYHWrl2r5cuXj+vsXxLhBiBxtHW26ZK/XqK3Gt7SopxFuu/M+5SeHNkvfBgz/bgOAAZjGIZqt9bqrrq7AjPVHHfwcSovKNeJM08c9fE7ujvU1N6kxrZG/1d7o3xtPjW0N8jX5gts6/vYge4Dkvyf+jn/yPN16bGXavbU2WG32bJ2rd5bViqjrU3TzjhDh955h0wp4X2KlPGyF9cCseqhjQ/ptv/eJkm66ZM36aKFF43JcXe17AoUe72y8xW91fDWgE8yZqRk6PiDj9eJM0/U4pmLdfyM4zUtbZqe8j6lH7/4Y7V2tmpm5kzd8dk7tHjm4jHpV9x75RHpz9+UujuleZ+SvvyQlGkZ2bE626W/f09au8L//YLPShfcG7S0ykgwXvpxHYAIGIb0/B3Ssz/1f1+wTDqzcuiZDjvbpefv9H91d0rp2dIZP5UWXzIxvywfIaOzU7t+/WvtqaqWDENpR+Tq0Lvu0pSjjhr2uS0ejz780S1qf+cdSVLG4sWa9aObNeXosZ2hxTAMvbTjJT288WH96/1/yfj4tzwLshfoomMu0jm550Q+U3J3t3+ZyEBB2EtSk3+mnOZ2Q9m37WW8FNkBxIsP9n2g+9+8X4+9+5jauvxLGc6bNk9lU8/U0d+/X93Ne3XQ//yP5v72NwM/pPfWX6SVF0lGt3Tq9dKSH45vZ1/8rfT370oypKM+778fSJ86vm2OxLa1/kKwDX+SjC6y42PkBmJRV3Oztl56mdo3blTKrFma/9CDSj300GGfZ3R2andVlXb/9m6pq0upc+Zozu2VyszLG1E/drfu1t2v3K3V765Wl9GlJFOSUpNS1d41fDFRX8mm5KBirp7irsCfU3Jkyfj4zykWpSUP/+Hs1s5W7WrZpY9aPtLOlp3Bf/+4UGxny87A7L3DSU1KDRSJ9S0UOzbnWBXMKgi7OKxtf4d2bPIXg21/x6fd2/aqfxXUVEu6f3awI6drzpFmZc/MGNcVCQzDUFdDw6AziHVs367upibt6+oa0xWy4qoAbLIh3AAkkvf3vq+Sp0rUfKBZFxx5gX70qR9F9HzGTD+uA4DhtHe164END2jFayvU0tkiSTpzwZm6Lu+6wAyMhmFof8f+QMGWr92nhraG4IKufo9F8umdvlKTUgM3dCmmFJ1lPUuXf+JyHTH9iLCev+/5f+v9r39dRkeHsr/0Jc2uuFWmMJYOY7zsxbVALLvn1Xv0m1f8M6v89NM/1ZeO+FJEzx9qOce+ZmbO1OKZi7V45mKdOPNEHT39aKUkhS44rffV69p/XqvNTZuVYkrRtXnX6pJjL5nQZSpjlvef0spLpPZmKedI6aKayGe68W2Tai7t/ST9Z26UTls+JkulMV76cR2AEVj7O+npGyQZ/mWezr1bCrWkyba1/mLYXW/5vz/mbOmsO6Ss8D8kEW37X3xRH5SXq2vXbpnS03XI8uUylywNmYOdjY3aeccdalr9mCQp2WzWzBtvUPZ554X1f/rReK/5PT3y1iN6fNPj2t/hXwJmWto0XXDkBfrKMV/RnKlzRn5w3zZp28tq3vgPZZf8lvFSZAcQbxrbGvXIW4/o4bceVtPHsyDm75qm6x/Yq+T2TmWddabm3H67TMn9/g/uuV/687f8f/+807/s4Vjr7vIXfr18j//7/Cv9xdcRLDvZfeCA9rndMqWna8pxxyl15syx72d/Te9L/12h5v/8Xtm3vJ/w4yW5gVjV2dCgrRdfogNer1LnzdPhDz4w5Bhy4P33tf3G8sBMulnnnKNZP/yBkqdNG3VfvE1e/bzu5/rHtn8EtmWkZAwo3Opb0NX371npWVFZPcQwDDW2Nw5bKNbQ1jDkcU6adZJuKLhBx1giX46zvbVTH9Y3afu7jfrgHZ92bd2r7u7gsqjM7DT/7GBH+QvCps/KnPCf/XXt268977ytQ/LyKACLBYQbgETznw/+o6vdV8uQoR+d8iNdcNQFYT+XMdOP6wAgXLtbd+tX63+lx999XIYMTUmeosOzDg/M0BXup2z6Mskkc7pZ5ilmTU+frulTPv76+O/mdPOAbVOSp+ilHS/p3jfu1cs7Xg4c67TDTtOVx10Z1uxke91uvf+da6SuLpm/XKJZN9887M0W42UvrgVimWEYun3d7XpgwwNKMiXprs/epSWHLxl0/57lHD0febR+13q9tvO1kMs5HjX9qMDsXotnLtbsg2ZH9EOclo4W/eiFH+mvW/4qSbLPs+vHn/6xpqWN/gd4ce+jDdJDxVLz+9JBM6QLV0qHhvmp101uafUyqbVBmmKWzq+WjjpjzLrGeOnHdQBG6HWX9HiZf1avI8/wL0ub9vFsUwf2+2cJe+luSYZ//DvrDunYL03qWb8G07lnj7YvX679zz0vSZr2uc9p9k9+rOTsbEmS0d2tpsce087b71BXk79wILvoAs28/nqlTJ8+oX3dd2Cfntj0hB5+62Ft2+ufuSvJlKTT556uixZepLxD8kb8ixzGy15cCyA+tXS06LF3H9MfN/xRH+7/UMd7u3VTTbdSuqUpF3xR839628Ax9Lk7pGd/IskkXfA76biisevQgRb/ko9vPeX/vvDH0qe+HVGWtm3cqO3lDrW/+25gW8ohhyjj+OM0ZdFxyjhukaYsWqTkcRrLmnfvUPaMOQk/XpIbiGUdH36orRddrI4PPlD6kUfq8AfuV3K/leUMw1Dzk0/qw1t+rO79+5U0dapm3fxDZZ9zzpj3Z/u+7eo2umWZYol8tttJ7EDXAe1q3TWgUGz7/u36x3v/0IHuAzLJpHOPOFffXPxNzcwceTHvgbZOfeRt1gfvNmr7uz59tKVZ3Z3BZVIZ01I18/AspWWkKCUtSalpyUpJS1ZKWpJS0pKV+vGfwdt6/977nCQlJYdfeDfW4yUFYOOIcAOQiKpfq9av1v9KqUmpuv/M+7Xo4EVhPY8x04/rACBSG/ZsUOXaStV9VDfgsYyUjN6irT5FXJYpFpmnmGVJtwQVe2WlZSl5FDOsvLH7Df3+jd/LvdUdWI7FNtOmK4+7UqceeuqQv3hpeuppbb/xRskwZLn8cs0sv3HI/Rkve3EtEOsMw9DNL9ysxzc9rtSkVP1myW90ypxTJEWwnOOM4/3FXjP8yzlOTRv90iCGYWjl2yvlXOtUZ3en5k2bp7tOu0tHW8Z2Oau41LxDenip9OFrUkqGVHSvdMwXBt+/u0v6V6X0L6ckQ5p9orT0fmn64WPbLcZLSVwHYFTeeUZadYnU2eZf7vbCR6UPPNKT35Z87/n3OeFC6Yz/G/kyuJOE0d2thvv+qJ0/+5nU0eFfyubOO5SUmakPf3RLYJaD9KOP1qybb1amLbpLJnd1d+n5D57XgxsfDPpgykLLQl248EKdueBMpSenR3RMxsteXAsgvnV0d+ivm/+qP7zxBx384ju65oluJUna8IWFyvvhXZqfPb93Z8OQ/uqQ/lslJaVKF62Sck8ffSf27ZIeKfHPBJycLp13j7To/LCfbnR2as/v7tWu3/xG6uhQssWilJwctdfX+5f77Sdt/nxNOe44ZRx3nKYct0hTFi5U0pQpoz4Nxks/rgNi3YH33tPWiy5W565dmnLccZr3hz8oeepBkvxLRX54y4/V/PTTkqQMm01zKiuVdtjwy0UiPB/s+0C/qPtF4IOZGSkZunzR5br02EvHpAiu80CXPtzcrO3v+rT93UZ96G1WV8fArBippGRTv6KwUIVk/j/bO1t0xldtsVcAtmXLloifM3/+/DHvx0Qi3AAkom6jW9/5x3f0z23/1KyDZmnl2StlmTL8Dz0ZM/24DgBGwjAMvbLrFbV0tASKvcxTzMpIyYhKfzY3bdYf3/yj/lT/J3V2+ws1jpx+pK5YdIU+P//zgy675nO5tOP7P5AkHfzNb2rGN78xaBuMl724FogHXd1duvG5G1W7tVYZKRn637n/q1d3vTrsco6LZy7WUdOPGnRcGQuv73pd1//reu3Yv0Ppyen63knf03lHnjdu7cWN9r1SzeXSplpJJv+yLSeVDtxv/x7psa9J9c/6v8+7XPr8bVLq6H/50h/jpR/XARilrS9KD5dI7U3S1FnSvg/927PnSuf8XDrCHtXujbXW11/XB9ddr45t26SepcC6upSUmamDv/UtWS65WKaU8cvhkXi38V09tPEhPeV9Su1d7ZIkyxSLio8qVsnRJZqROSOs4zBe9uJaAImh2+jW8+8/r3UrbtNZq7ZIkh44PUltS8/QFYuu6P2wd3e3tPoK6c3HpbSp0qVPSofaRt7w7nelh4qkxi1SxnTpy49Ih58S9tMPbNmi7Y6b1Prqq5KkaYV2zbrlFqVYLOrev19tGzeq9bXX1fbG62p9/Q1/pvWXkqL0o45UxiJ/QVjG8ccrPTc34oxjvPTjOiAetL/7rrZe8lV1+XzKLCjQ3BXVanvjDX1QXq7O7Tuk5GTN+OY3lLNs2aT7/3C8eHXXq7p97e16dZd/fJ+ZOVPfsX1HZ1vPHtPlLbs6uvXR1mY17tivzgPd6mjvUueBLv/fO3r/3vdP/z7d6uzoUsfH2zSCyqvWA/t14x++GFsFYE1NTXK73RE9x2QyyW63x3QoEG4AEtXeA3v1lae/oq3NW3XS7JN0j/2eYX8px5jpx3UAEE8+2v+RHtz4oFa9vUotnS2SpDkHzdGln7hU5x15XsgCtYb779dHt1ZIkmbeeKNyrrwi5LEZL3txLRAvDnQd0Lef/bb+s/0/gW1JpiQdaT5yVMs5jgVfm0/f/fd39fwH/qWwzjviPH33pO9qSsrYFynFla5O6S/XS3X3+b8/5ZtS4U+kpI9/SPf+OmnVpf7lIlMypLN/Jp34lXHrDuOlH9cBGAM7XpMePF/av0uSSTqpTDr9B1L66GegnIy69u3Thz+6Rc1P+ZfkmnbGGTpk+U1KnTUryj0bmq/NJ9e7Lj361qP6qOUjSVJKUorOmH+GLl548bCz1jNe9uJaAInntZ//WKn3PCJJuvusJP3jhCSdNOskXbHoCp0y5xSZug74l37f/C8p82DpymeknNzIG9r6ovToV6TWRsl8uHTxaungI8N6qtHdrcZHHtHO2++Q0dampKlTNeP739WuzxyrzU2blZWeJWu2VYdkHhJ0D9nZ2Ki2N95Q6+uvq+2119X6xhvq2r17wPFNGRmasnDhx7OEHaeM449T6ty5zFgfBq4D4kXrG2/qvUsvVff+/Uo7IlcHvJul7m6lzpunQ2+vVMYJJ0S7i3HPMAz9fevf9fO6nwc+KLrQslA3FtyoglkFUe5dL8Mw1NXZHVQoFlRIdqBLnR3BhWQdB7rU1NikMy6NwRnAEhHhBiCRbWrcpAv/cqFaO1t1+aLLdV3edUPuz5jpx3UAEI+a2pu06u1VenDjg2poa5AkTU+frosWXqQvH/NlZadnB+2/+54q7fr5zyVJh/zwB7JceOGAYzJe9uJaIJ60dLSo6rUqpSWnjelyjmOh2+jWva/fq1+/8mt1G906avpRuuu0u3R41tguUxh3DEP698+kNbf4v1/4Ren8amn9g9LflkvdHZIlVyp5QDrkE+PaFcZLP64DMEb21Etr75WO/ZI076Ro92bcGYah/c89J1NGhg765Cej3Z2IdHR3aM17a/TQhof0yq5XAttPmHGCLl54sZYcvkSpSakDnsd42YtrASSmnXfcoT2/u1fdJukX56XqxaP9v1JeaFmoKxZdIfusk5Ry/7nSjlf8xVtXPiNNi6A4+I3HpMevkrrapUPzpK+slKaGN0tjx4cf6v3ly9X24kuSpI+OPUSPnJ+jOm0NzP7YIyMlQ/Oz5mtB9oKgr8OzDld6croMw1Dnhx8GzRLW9vrr6t6/f0C7ydnZmrJokaYc//HykYsWKXXmzMDjjJd+XAfEk5Z16/Te15bJaGuTJGWff74O+e53A0tCYmK0d7XroY0PacVrK7SvY58k6fS5p+u6/Oti+mdzYz1eRq0ArLm5OegEVq9erdzcXJ144onR6M64INwAJLq/bfmbbvzXjZKku067S4WHFw66L2OmH9cBQDxr62zTE5ue0H1v3hf4tE5mSqaKjirSJcdeolkH9f6QcOfPfq49VVWSpNkVFTKfd27QsRgve3EtgIn18o6XVf5cuRraGjQ1dap+8umfyH54bC339fqu1/XHDX/UG7vf0DW2a/T5BZ8f/0Zfq5H+9HWp64B00Exp/07/9oXnSF/6rTRl/Mcvxks/rgOARPbm7jf14MYH9bctfwssVz8zc6a+csxXVHRkkcxTzIF9GS97cS2AxGQYhj784Q/lq3FJqal64dr/VVX6i2rtbJUkHTb1MF12xAX60r9+rSkNm6VDjpMuf1qakj3cgaX//EJy3+z//pizpfNXSGmZgz6l+UCz3m54Wxt3b1D7X2uV99B6ZbR1qz1FevB/k/RMnknGxzNzZaZk6ojpR2jvgb3a1rxNnUZnyGOaZNKhUw+V1WzVgqzg4jBzWrYObNmittdfV+trr6v1jdfVvvEtGQcODDhOyqxZyjhukaYsOk4duVbNKSxM+PGS3EC82f/SS9rzu3tlLrpAWZ+fgJ+hYFB7Wvfo7lfvlusdl7qMLqWYUvTlY76sq064asAHzWNB3BSA3XTTTaqurlZhYaEKCwtlt9vldrv1ta99LRrdGReEGwBId6y9Q3/c8EdlpmTqkS88IqvZGnI/xkw/rgOARNDZ3alntjyje9+4V+80viPJvxTLOdZzdNmiy2TNtsowDH10a4UaH3hASkrSoXfdGXRzzXjZi2sBTLyP9n+k8ufK5dnpkSR99div6pq8a0LOHjJZdBvd+te2f+m+N+8L9LvHJcdeomvzrh3//m/5j395l7YmyZQsFf5YOuUb0gQt6cl46cd1AABpV8surXpnlVa9vSowS3F6crrOtp6tCxdeqKOmH8V42QfXAkhcRleXPrjueu39+99lysyUpeqXWp32mh7e+LB87T5JkiUtWxc37FbJng+VNffT/mUcU6eEPmBXp/TXcmndvf7vT7pKOuNWKSk5sMvu1t3auGej3mp4SxsbNmrjno16f9/7mtZiaNnfunXy2/5fbb87W3qwyKLpRy3SMZZjtDBnoRZaFmrutLlKMvmXne/o7tD7e9/X5qbNvV/Nm7XZt1l7O/YOet7mdHNvQdjHxWHzMw9TzvZ96nhzY2D5yPb6eqm7O/C8fV1d+uSmdxN+vCQ3AIy3el+97lx3p57/4HlJUlZalq4+4WqVHF2i1OTJ+/O5/qJaALZlyxZZLJaghvvP5DWY5uZmVVdX64YbbgjavmbNGtXW1srlcumqq64a8HgsI9wAwP9L/tLaUq39cK3mZ83XI194JOQyPoyZflwHAInEMAz9+4N/6/dv/F7rPlonyf/py9Pnna4rF12pRTmf0I4f/lBNrtVSSooO+/WvNO200yQxXvbFtQCio6O7Q7/0/FL3vXmfJGnxzMW6/TO365CDDolux/pp62zTk94ndf+b92tL8xZJ/qLbsxacpez0bD2w4QFJkm2mTXeedqcOzjh4fDu06x3pv9XSccUTvmQa46Uf1wEAeh3oOqC/bv6rHtr4kDY2bAxsP2nWSTr3sHN1zqJzGC9FdgCJrvvAAb1/1dXa/8ILSs7O1uEPPqCu+Yfq8U2P6/4379f2/dslSZndhor37tUlM0/WIUsfDirqkiQd2C+5rpDe+Zskk4zP/Z8+OO5LgSKvtxre0lsNb2lX664Bfch7t1tX/03K2tet7uQktVzyBc29+js6JGuOTCP4QIlhGNrTtie4MOzjr57zCSU1KVWHZx3uLwjLmi9r2hwt+MiQZXODuje8rZ3rX5Htn/9I+PGS3AAwUV744AXdvu52bfJtkiTNmzZP1+Vfp9Pnnj6ifJhoUSkAa2pq0pIlS+TxeGQymWS32+VyuTRt2jQ1NTVp1apVuummm7Rnz55Bj1FSUqKVK1cO2c7q1at1wQUXRH4WkxThBgB+e1r3aOlTS7WzZaeWzFuin532swGhy5jpx3UAkKhe2fmKfv/G7/WPbf8IbPvkrE/qioWXaf4v/qTmp5+WKS1Nc6vu0UGnnMJ42QfXAoiuNe+t0ff//X3t69gnyxSLbjv1Np0y55Rod0uNbY169O1H9ehbjwZmNpmWOk3FRxfrwmMuDBSqrdm6Rt/7z/e0v2O/ZmTM0J2n3anFMxdHs+vjhvHSj+sAAAMZhiHPTo8e2viQ1ry3Rt1Gt7pau7Tx6o2MlyI7AEjd+/frvSuuVOurrypl5kwd/vBDSjvsMHV0d+hvm/+mP7z5B73b+K4kKcUwdE76HF125j2BFUE6m7Zry8pibWzy6q2MTG2c8wm91b5bew8MnIXLJJPmZ8/XMZZjdNyUXB3/aJ3S/uKf4SX9yCM0+7bblPGJT4zbubZ2tmpr89YBhWFbmreovat90OfNzJypQ1MO1QPnP5Dw4yW5AWAidXV36fFNj+vX63+tPW3+mqX8Q/J1Y8GNOjbn2Cj3bmhRKQBbunSpCgoKVFRUpMbGRq1cuVKPPfaYamtrNX/+fPl8PlksFnX3meKyv6amJq1YsSIww9ezzz6r/Pz8oJN49tlndfrpp4/6pCYLwg0Aer226zVd9rfL1NHdoe/YvqOvHRe85C9jph/XAUCiq/fV6w9v/EFPe59Wp9EpSTo2+2iV/8mkzBffkCkjQ/Pu/Z06jziC8fJjZAcQfduat+m6f12ntxrekkkmff3Er6v0+NLAsiMTaUvTFj2w4QH9qf5PgV9OzD5oti459hKdf+T5Oij1oJDPueYf16i+qV4pphTdUHCDLjzmwpj4pGQkGC/9uA4AMLTt+7br0bce1aOvPqq1X1vLeCmyA4Bfl8+nrZd8Ve3vvqvUefM0/6EHlTJjhiR/Ie3zHzyv3798u+r2bZEkmSSdMudT2rd/l97xvau2ELcXKUkpOtJ8pBbmLPQv42hZqKOmH6XM1Ezt/+9/teOm5erYvl0ymWS5/HLN+M63lZSePnEn3Ue30a0d+3eEnDWsp+CA4mE/cgNANOzv2K97X79X92+4X+1d7TLJpHNyz9G3F3970s3Y3yMqBWC33367brzxxqBtPp9PN910k2666SbNnz9fycnJ6urqGvI4TU1NMplMysrK0u23366qqqrAjGK5ubmqr6/X3XffPbozmkQINwAIturtVfrJSz9RkilJd9vv1qfmfCrwGGOmH9cBAPw+3P+h/vjmH7X63dVq7WxVSqehm59I09Hvtso0daqm/+bXmnXyyYyXIjuAyaKts023/fc2rX53tSTp04d+Wrf9z20yTzGPe9uGYeiVXa/ovjfu0z+2/UOG/D/qOTbnWF32ictUeHihUpJShjxGS0eLbn7hZv1ty98kSWctOEs3n3KzMlMzx73/E4Xx0o/rAADh+XDPh5p98GzGS5EdAHp1fLRTWy+6SB3vv6/0o4/W4Q/cr+R+48Ir//qJfv/mffrHQcH3EpmGdLRloRYesthf7JWzULnZuUpNTg3ar7u9Xbt+9nM1/PGPkmEo9bDDNKfiVmUWFIz7+Y1UU3uTtjRv0Rvvv6GLbRcn/HhJbgCIph37dugX63+hp71PS5KmJE/RZYsu0+WfuHzS/Zxr0hSA9X3MZrPpc5/73LAFYKE0NTXJ7XartrZW69atk8lkUn5+voqLi2N+NjDCDQCCGYahm1+4WY9velzmdLNWnr1Sc6bOkcSY2YPrAADBfG0+PfL2I3p448Nq2deo767s0rHbpMbMVH16/euMlyI7gMnmiU1P6Kcv/VTtXe2addAs3fnZO3X8jOPHpa2u7i49u+1Z3ffmfXpt12uB7Z897LO69BOXKv+Q/Ihm8TIMQw9ufFB3rrtTXUaXjpx+pH5+2s81L2veeHR/wjFe+nEdACA8jJe9uBYA+jrw3nvactFF6tq1WxmLF2vevb9TUma/X6j/o0L1L9yh5zIzNKuzSwstCzWvZKWSps4Y8titb7yp7Q6HDtTXS5LMxcWa6XAoeerAmYwnI8ZLP64DgMngjd1v6Pa1t8uz0yNJmpExQ99a/C19MfeLSk5KjnLv/KJSALZ+/Xq53W7ddtttWrFihc4///ygx10ul5YuXTrkEpDh6ikI27x5c2C5yFhFuAHAQO1d7frqX7+qDXs26NicY3X/mfcrPTmdMfNjXAcACK2lo0WPb3pcj9b9QaX3fqBZ73fpk5veZbwU2QFMRm83vK3r/3W9tjZvVUpSim7IH9slFVs6WvTEpif0wIYH9P6+9yVJqUmp+mLuF/XVY78qq9k6quPXfVSn6/95vfa07dG01Gm69dRbddrc08ag59HFeOnHdQCA8DBe9uJaAOiv7e13tPWSS9Td3KyDTj1Vc3/za5nS0np3MAzpLzdIa38nHfsl6bwqKTVj0OMZHR3aXV2t3XffI3V2KvnggzX7pz/RtNNOG/+TGUOMl35cBwCThWEYcr/n1l3r7gr8DO0YyzG6If8GnTT7pCj3LkoFYD3Wr1+vxYsXh3xs8+bNWrBgwag7FE8INwAIbfu+7Sp5qkS+dp/OPeJc/fhTP9bevXsZM0V2AMBwOro79Mxrj6n7mz/VF//zBuOlyA5gstp3YJ9++MIPVbu1VpL0+fmf148+9SMdlDryT67vbt2thzc+rJVvr1TzgWZJUnZ6tkqOLtFXjvmKDs44eEz6Lkk7W3bqhn/doPU710uSSo8v1ddP+Pqk+YTkSDBe+nEdACA8jJe9uBYAQmnxrNd7V14po7VVWWedqTm33y5Tcr/7heYd0rRZ0hAfhmn3erXdcZPaXn9dkjTtjDM060c3K2X69PHs/rhgvPTjOgCYbA50HdAjbz2iqlertLdjryTptLmn6bq867QgO3p1TmM9XiZFsnP/4q/m5ma98sorkkTxFwAgbHOmzlHlZyqVZErSE5ueUM07NdHuEgAgRqQmpeoLJ5bolPufiHZXAGBIU9Om6s7P3qnygnKlmFL0ty1/05ef+rI2NW6K+Fj1vnrd/MLN+pzrc1rx+go1H2jW3Glz9b2TvqdnLnhG31r8rTEt/pKkmZkzde/n7tVFCy+SJFW/Vq2vr/m6fG2+MW0HAAAAQGzKtC3WYb/8pZSaqua//FUf/uQnGjDvSNbsQYu/jO5uNdz/gDafd77aXn9dSVlZmnP77Tr05z+LyeIvAMDklZacpks/camePv9pXXjMhUo2Jeuf2/6p8/90viperoibn3eFVQC2fv16HXHEESooKNC9994rSVq9erXMZrNsNptycnK0devWce0oACC+nDLnFH1r8bckSRX/rdDru1+Pco8AALEk7eAZ0e4CAAzLZDLpkmMv0R8+/wfNzJypLc1bdOFfLtST9U8O+1zDMPTfHf/V191f17l/OlePvfuYOro7dPyM4/Wz036mJ899Ul8+5svKTM0ct/6nJqfqpk/epIpTKzQleYpe2P6CSp4q0Zt73hy3NgEAAADEjqmn/o8OrXRKJpN8j67Url/8IqzndWzfrvcuv0If3XqrjPZ2HfTpT8v65J+Vfc7ZMg0xWxgAAKMxfcp0LT9puR770mM67bDT1Gl06uG3HtZZj5+lP775R3V0dUS7i6OSEs5OK1eulMPhCPy9sbFRmzZtUm1traxWq+rq6lReXq6VK1eOa2cBAPHlykVX6o3db2jNe2v03ee/G+3uAAAAAOPixJknquacGt303E16cceL+u6/v6v1O9fL8UmH0pPTg/bt6O5Q7ZZa3ffmfdrYsFGSZJJJp887XZd94jKdOPPECe//2dazdaT5SF37z2u1be82ffUvX9X3Tv6ezj/y/AnvCwAAAIDJJevMM9XVvFcf3nyz9txTpeSsbOVccXnIfQ3DUNMTf9JH//d/6t63T6aMDB1SfqPMX/4yhV8AgAljzbbqV0t+pZd2vKQ71t6htxvf1h3r7tDKt1fq+rzrdfq802Myl8IqACsoKNAFF1wgSVq2bJluuukmOZ1OZWdnS/Iv/9jY2DiiDjz77LM6/fTTR/RcAEBsM5lM+umnfypvk1ebPox8KRwAAAAgVlimWHS3/W5VvVale169RzXv1OiN3W/ortPu0mHTDtP+jv1a/c5qPbjxQe3Yv0OSlJ6crnOPOFeXHHuJDs86PKr9P9pytB49+1F97/nv6Z/v/1M3v3CzXtv1mpaftHxAERsAAACAxDK9ZKm6mpu06867tLOyUsnZ2TJfEPyBkc49e7Tjhzdr35o1kqSME0/UHOdtSjs8uvc6AIDEdfLsk7Xy7JX6c/2f9cv1v9S2vdt0zT+vUcGsAt2Yf6MW5iyMdhcjEtYSkGazWa+88krg+5KSkkDxV4+RVr/V1taO6HkAgPgwNW2qfn7az2VJt0S7KwAAAMC4Sk5K1tdP/Lrutt8tc7pZGxs2aulTS/XjF3+swppC3b7udu3Yv0OWKRZ948RvqLaoVt8/+ftRL/7qkZWWpV+c/gt9a/G3ZJJ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06VKtW7duTM57uL7V1tbKbDYH+rN8+fJBq55DvbZjbbBr1POY2+0e8Jr2/7fi8XhUW1sbOKbVah30/Wez2eRwOFReXj7m54LYEK3sIDd6kRvkxmiQG5ho3HOQHT37kx1kB9mBcMX6PYdEdkhkB9lBdmDicM9BbvTsT26QG+QGwkV2kB09+5MdZAfZMToxWQA22LSB/ad46/nH3KNnYA11vKGqUXsGX4SnZ7Y0m82mkpKSoO3Lli1TY2OjJCk3N1cOhyNwbfvua7fbZbfblZubGwhGyV/gV19fL7vdrrKyMrlcrhFNI1laWqqamhqVlZUFDZZer1cOhyNQRNjQ0KDKykqVl5eH7E8o9fX1ys/PH3AudXV1qqqqksViGfJcevbvO/jV1NTI4/HIZrPJ5/MFntujoqJiwDn0HRzz8vK0Zs2aQY/tcrlUXl4um82m3Nxc+Xy+kAFRXV0tm80WeM0aGhrk8/lUWFiouro6mc1mORwOVVdXB67ZaM97uL7l5uYG+mM2m1VcXBx07uG8tmMp1DXqsXbt2kB7fV/T/v9WbDabCgsLJSnwfhvq/df/PzdArCE3yA1yg9wAIkV2kB1kB9kBRIrsIDvIDrIDiAS5QW6QG+QGECmyg+wgO8iOaIvJArDBuN3uwD+gHhaLJfAGGs16sz2FZF6vV9XV1SHfYO3t7Wpvbw9839zcHFEbGSkZevnCl0fcx9HISMkYk+N4vd5xLZZrbGwMVMY2NDSMal3Xqqoq5ebmqqysLGibxWIJKhzsqdYOV6hgMJvNgfVte96HQ51LTk5O0Hq4ZrM5MICtWrVKNpst6Ph93/dVVVUDHrdarVq1apVKS0tDHrtvAWRPW6HCraioSHl5ebJarSopKVFpaWmgkrdn/+XLl4/peQ/Xt75/t9vtKiwsDPkaRPLa+ny+oP8wSL3V1337GioYQ12jHn2r3vu+pkhssZod5EbvNnKD3CA3MNFGkx3ccwyP7CA7yA7Em0S/55DIDonsIDvIDkSGew5yg9wgN8gNRCJW7zl62h4LZAfZQXaQHZNBXBWA9VTV9hfJG6hn+rsePZWHNpst6B9FKBUVFbrlllvCbqs/k8k0ZlPbR4vX6w0Ki77MZrNKS0tVWVkps9kcmMYwHD2DVUVFhXJycoadtS0cVqtVTqdTxcXFQYNW38pUSSGL/Qar/pX85xnqvdi/v2N5LqM12Ln0Z7FY1NjYGJhes7i4WIWFhYOGjTT68w63b+EI57XtabP/1JcOhyOs6TBDXaNQ1dajMdT7D7En0bOD3CA3yA1yA5EbTXbEem5IZIdEdpAdZAcik+j3HBLZIZEdZAfZgchwz0FukBvBxyI3yA0MjXsOskMiO8gOsmMySIp2BybCYIVhofRMr+d0OgdUiNrtdtXX1w/6D2L58uVqamoKfG3btm003Y45PWuz9h+w+l7/norQ0tLSkJWhg71Wbrc7UJxXXl4eWDu257Hhni+FLgQsLy8PCqOSkpIBhX6hCv+GKgbMzc0NWXXdt/1wzmUwdrs9qEhRCl7+NNQ5eDweLV26dNBjhvtvpKKiQl6vVzabTU6nU2azWUVFRQP607f90Z73cH3r+3jPcq19B/5IX9vRCnWNwhXu69C/3/1nPkRsSeTsIDf8yA1yg9xApMgOsoPsIDvIDkQikXNDIjt6kB1kB9mBSCRydpAbfuQGuUFuIBKJnBsS2dGD7CA7yI7oi6sZwMwhposbbJq+8ZCenq709PQJaStaPB5PYD3gioqKwHqz9fX1KiwsDFpms6e602KxBCpZ6+vrlZubK7PZLIvFouLiYpWWlobct6ysTE6nU9XV1bLb7bJYLDKbzYF/2MXFxaqqqpLVag08X/IP/v2L9zwejxwOhxoaGrR8+fKgfq5YsULr1q2TpMCA5HA4AlMR9lTD9u/PYOx2u6qqqgJt9A1mq9Uqu92u/Pz8sM/F6/UGrrvVapXValVNTY0cDkfQVI4VFRWBwkWn06nKykpZrVatXbtWNTU1MpvNgx6759zdbre8Xq+cTmfIgTknJyew1GpDQ4NKSkpktVpVVVU14JqN1XkP1zer1Sqv1yufz6d169YF1kYO9Z4Y7LUdS6Gu0XCvqc/nC3r/9/3earWqqKho0Pefx+MJrIWM2BTv2UFukBvkxtDIDYwE2UF2kB1kB9mBSMR7bkhkB9lBdgyH7ECk4j07yA1yg9wYGrmBSMV7bkhkB9lBdgyH7JgkjBjWv/v19fWGzWYL2mY2m43GxsYJ7FWvpqYmQ5LR1NQ04LHW1lZjw4YNRmtraxR6Fh21tbWG0+kMfF9fX28UFRUZtbW1UezV+CgqKop2FzDGysvLo92FkMrLy436+voh94mV8WaoMTORkB29yA3EMnJj/JEbvciOXmQHYhnZMf7IDj9yIxjZgVgWq9kRK2MNudGL7OhFbiCWxWpuGEbsjDVkhx+5EYzsQCwjO8bXWOdGzC8B2Xc6uP7TKnq93kA1JaKvtrY2qCrTarWqpKQk5FSQsa6srEwulyva3cAYWr58ebS7MEDP+Bft9bGB8UJuIJaRG0B0kB2IZWQHEB1kB2IZ2QFMPHIDsYzcAKKD7EAsIztiS0wuAel2u1VbWyvJP8ViQUFBYCrBnmn/CgoKAtP6YXLomXLR7XYH/jE2NDSotLQ0yj0be3a7XdXV1YGpJxH7JuPr2DOlKRCvyA3Essn4OpIbSARkB2LZZHwdyQ4kArIDsWwyvo5kB+IduYFYNhlfR3IDiYDsQCybjK8j2TE4k2EYRrQ7Ea+am5uVnZ2tpqYmZWVlBT3W1tamzZs3a8GCBZoyZUqUeojxRrhhMoiV8WaoMTORkB2JjdzAZBArYw250YvsSGxkByaDWBlryA4/cgNkB6ItVsYacqMX2ZHYyA1MBrEy1pAdfuQGyA5MBrEw3ox1bsT8EpDAZEawAQAiQW4AACJFdgAAIkV2AAAiQW4AACJFdgDRQQEYAAAAAAAAAAAAAAAAAMQoCsAAAAAAAAAAAAAAAAAAIEZRAAYAAAAAAAAAAAAAAAAAMYoCMAAAAAAAAAAAAAAAAACIURSAAQAAAAAAAAAAAAAAAECMogAMCcfn80W7CwCAGEJuAAAiRXYAACJFdgAAIkFuAAAiRXYA8Y8CMETE4/GorKxMJpNJDodDHo9HPp9P1dXVmj59ugoLC1VdXT3kMdxut/Ly8obdbzxUV1eroaEhaFtlZaWqq6vlcrlUWVkpl8sV9Hjfcx6sz8XFxZo+fboqKytDtulwOAJtuN1uVVdXy+v1DriePfsWFxfL7XaHdU6h2gSAyYLcIDcAIFJkB9kBAJEiO8gOAIgEuUFuAECkyA6yA4gJBsZNU1OTIcloamoa8Fhra6uxYcMGo7W1NQo9G536+npDktHY2Bi03WazGU6nM6xjOJ1Oo6qqKmhb/+ONtbq6OqOmpiZom81mM2pra4O2lZeXG+Xl5QP6VlRUZNhstgHHbWxsNEpLSw273T7gMbvdPuA86+rqDElGfX194Pn9r2fPtrq6umHPq7GxcUB/gb5iZbwZasxMJPGYHeSGMeAxcgOTWayMNeRGL7IjNLKD7MDEiZWxhuzwi8fcMAyyoz+yA5NZrIw15EaveMwOcsMY8Bi5gcksVsYassMvHnPDMMiO/sgOTHaxMN6MdW4wAxgiZrFYxvyYXq9Xq1atGvPj9lVRUaGioqLA9w6HQ1arVXa7PWg/p9Op6upqeTyeoO0lJSXyer3yer1B29etW6e8vLwB7fVUHZeWlgZtt9lsA7b1ZzabZbVatXLlymHPy2w2S9KAfgHAZEFukBsAECmyg+wAgEiRHWQHAESC3CA3ACBSZAfZAUx2FIBNIoZhqLulJSpfhmFE9dydTue4Ht/n88lqtQZtq6ysVGFhYcj97Xa7KioqgraZzWYtXbp0wPSXg6moqFBZWVnIx4qLi4d9fkNDg3Jzc8Nqq6SkJOx+AYgv0coOciMYuQEgVnDPMX7IDgDxKlHvOSSyIxSyA8BwuOcYP+QGgHhFdowfsgNILCnR7gB6Ga2tets2sEp2IhztqZMpMzOi51RXVwcqayV/gPTlcrlkNpvl9XpVX18/aIC53W6tW7cusO6w3W6X1WqVx+OR2+2W1WqV1+tVUVGRrFar3G63HA6HysrKAo/V1taqpqZm0L6uWrVKBQUFge97KoHz8/ND7m+1WkOGRVlZmYqLi1VeXi7Jv/Zxfn7+gMpir9cbMlB79K+o7svn86miokJ2u12lpaVyuVxyOByy2WyqqamRz+dTXl6eioqKAtfUZrPJ4XAE+gUgcUQrO8iNYOQGgFjBPQfZIZEdACITS/ccEtkhkR0Aoot7DnJDIjcARIbsIDsksgMYCxSAYcRKS0uDwq2qqiro8eLiYtXX18tut6usrEwulytoeskedrtddrtdubm5gWkfvV6vHA6HamtrA/vl5eVpzZo1gf37BlpNTY08Ho9sNlvIvtbX1w8aZKHk5OQEwravnuP3tNXQ0DBom5Gqrq4OhGFPcEtSUVGRGhoaVFdXJ8lfZe1wOAZMkRmqvwAwmZAb5AYARIrsIDsAIFJkB9kBAJEgN8gNAIgU2UF2AJMVBWCTiCkjQ0d76qLW9lhrbGwMVDc3NDREtP5uVVXVgNCwWq1atWqVSktLlZOTo5ycnMBjZrN5yMHd5/MFBXFPcHi93pDhNFQYFhUVqaqqakCY9+/rUMf3er2yWCxBfer/n4W+SktLNX36dFVVVcnr9UYU1ADiW7Syg9wIRm4AiBXcc/QiO4KRHQAGE0/3HBLZMdTxyQ4AY4F7jl7kRjByA8BgyI5eZEcwsgOITFK0O4BeJpNJSZmZUfkymUxjfj4VFRWqrKyUpEGneQyl/zSZY8FsNg84bmlpaVD1dN/wdbvdg65NXFZWplWrVsntdg85TWV5efmgAejxeAYNssGUlpaqurp6yCpuAIknWtlBbpAbAGIT9xx+ZEdoZAeAUOLpnkMiO8gOAOONew4/ciM0cgN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xi++jublZTU1NOnr06KxuM2Hob/5GY3/3d3Jcd538D3xB3s98RkWVlZe/IbCCTEzjs+6Giuyy9FhGwe5odhrJgU6zW1gimtJQt1nwcOp47kNXp8dunoRb41H5Go/K15gn5Zwe+1I8JABYUMXOItVs8KpmgzdveWosrXDfaHYKyaGJzmG9MaXGMhq4MKKBCyN5t7FaLfJWuVRW686eBPNXm79dpXaKGoAV4oVTg7I63DNeXmyzyuOwyeMokqe4KPt3iaNo0u9Jy4rN5VOuV1wkt8Mmm8Wi1vND+sHbPfqHt3vUGRrV02916+m3uuUosuqj11TpUzfV6mPX1cjrXJr3a8XOItVu9Kl2oy9veSySVHDSFJKDXVENdkWVSqSz05tLvZPux6byNeaJf3NKXrP7osdPYRgAFBq7w6aajV7VbMy9zzYMQ9FQMtctbLyb5FBPVMl4Wt1tYXW3hfPup7TcOd4tzDPeLYxOkgAAAAAAYOmsigKwUCg07fJgMDir27e3t2vXrl0KBAIKhUJqbm6etgAskUgokUhk/x2JmF05Su6/X3rpJSXee0+9772n3oP/TSX33CPfgw+o5L77ZHU45v6ggBXAZreqal2pqtaVZpeZH7omzKKwzpFscVioN6Z4dGxKtzBJ8viKVT7eoaG8zqOKNSUqq3Or2LkqhjgUuJmyA5hJkT3XgWCyTMZQZGB0vCAsNt41zPx7LJHOTsN7sWJXkfzVrimFYb5qF+MosEzNlB3/+Qs3qLqibLxYK1foNVG4VbwAnQC3bSjXtg3l+g+fuU5vdoT1g7d79IO3u3VuMKYfvturH77bK7vNons2VepTN9Zpx/U1KvMUz/t2zJXbWyy3t1wNk6YyNzKGhoNx86R/V1TB8d+hnpiS8bR62sPqac8/+W932syCsFq3yuo8KqvzqLzOrdIKl6xMyQtgmeCY4/IsFotKyhwqKXNo/eQvrqXMKYbNgjCzKGywc0QjQwkNB+MaDsZ19s1cJ0lbkVVldW5VjncJq6w3p5J0e5c++wBgLsgOAMBckBsAsDys6rN6MxWGXSwQCGhoaOiy19u/f7++/vWvT1le/98Oyp1OK/KDHyj85FOKv/mmRp5/XiPPPy+r1yvvpz4l3xe+INdtt/Ltcax65oeuTpWUObXhplynvLFkWqGemAa7RhTsNIsaBrtGNBJMKBpOKhoO6sK7+UWd3kpntktYxXjHsLIat2x2vo2L5WOm7ADmymq1mMVb1W5tvCW3fKKwNtgdVah3VKG+WLYYbDgYV3I0pb5zw+o7NzzlPt2+YpXVuOWbVBjmr3bJW8mUksBSmik7vtjUIK/XO80tFp7FYtEta/26Za1f+z65Re91D+sHb3frB2/36HTfiJ77oF/PfdAv2xMW3Rmo0KduqtXHr69VVeny+TKMxWqRt9Ic4zbeUpVdnj35P/4+dGJ63lDfqMbiafWdjajvbP4Hm7Yiq/w1bpXXjReG1Zodw/zVbsZPAIuOY44rZyuyTvvli3h0TMGuEQ10RHPFYeOdJKfryOsqtZv3s6ZEFQ3j00jWeVRUbFvMhwMAs0Z2AADmgtwAgOXBYhiGsdQbMd8sFosmP6zDhw/r0KFDOnHiRHZZWVmZjhw5oubm5nlb73TVzWvXrlU4HM47EZNob1f4yacU/s53lOrpyS63r18n3xe+IN/nv6Dihvp52y5gJUuMmtNFDnaOKNg1URgW1WgkOe31LVaL/NWu7BSSE9NJ+qqYpmGpRSIR+Xy+KWPmSjfb7FipDMPQWNpYkK40uLzUWFrh/lGFxwvDhnpjCvfGFOqLaXR4bMbbWawWeSucua5h44Vh/hq3PD6HLHS9wSJYrbkhFV52nOodHu8M1qP3unOFUlaLtH1DuT51Y60+eWOdan3OJdzKuUunMpOm5DWnLw/2mAW26bHMtLexWC3yjU/JW57tGOaRv8Ytu4MiAGChrdbsKLTcKFRGxlBkMD6pW5jZ1TzcPypN8+mrxSL5qt3jBWZmUVhlQ4lKy528nwaWidWaGxLZAQBXarVmB7kBAFdmvnNjVRSATUzheHEB2JkzZ+T3+xdsOy73ZBmZjGKvvqrwE08qcuyYjFhuWib39u3yPfAFlX7iE7KVlEy5LYBLGx1OKthlFoMFu6MKdpkFYolYatrrW4ssKqv1ZAvCKsY7h/HB6+JZrQdGF1st+yGVzuj7b/fo0PNteqcronu3VOm3dmzRTQ2+pd40jItHxxTuy+8YNvF3Kjl9YYMkFRVb5aue6BjmkrPMoaTbpluur5TDbV/ER4CVbrWMl7NRSPvi7EA0O03kmx350yk2rfPr0zfV6ZM31qqhzL1EW3j1MhlDw4OjGuqO5YrDesy/x+LpGW9XWu4cn0ZyvDis1qOyWrecntU1dmYyhl5sG9DGSk9Bvw6wPBXSeLmQ2A+LayyZ1lB3VAMd+dNIxkem/8KF3WFTRb0nN4XkeIEY76WBxcd4mcO+AIDZYbw0sR8AYHYoAJsFi8WioaGhvOKurVu3ZgvA2tvbtWfPHh07dmxBt2MuT1YmGlXk2DGFn3pKsZdfkcafFovTqdLmZvkeeECeO++Qxca3woErZU6DljSLwcY7hQU7zb9nKmYoctjM6c+qXPJWueSb9EOXm/nFAYFpYj8cfuYt/dw918pdvLJma46PpXXkRIe+8aN2nQ/Gplz+iRtq9G92XKNra1fva2C5mxhLpysMiwzEZWQu8dbSZVNVfYlqG0rNadFqze43rlI702BjzsiNnELdFxeCMf3jO2ZnsBPnhvIuu7nBp0/eWKtP3VinjZWeJdrC+TUxfpqdwsankhwvELtU10VnqV2Ocofq13pVVpubkre00inbCutg++LpAf3B99/TO10ROYqs+lcf26zdHwnIvsIeJ5ZOoY6X8439sPQMw1AskjQLwjqiGuwyi8OC3VFlUtO/ny4pc6iiIX8aSX+Ne8VlAbCcMF7msC8AYHYYL03sBwCYHQrALqGlpUXHjh3TwYMHtXfvXm3fvl07d+6UZBZ9HTp0SNu3b9drr72mRx55ZEG7f0lX/mSNdXUp/N3vKfzkk0qeOZNdXlRdLe/nPiv/Aw/IsXnzQmwysCpNTNMw0SlssDOqYFdUQ70zf/AqSTa7Vd4KZ15xmLdy/HeFSzY7H8LOBQcEpon9sPY3HpPf59XD29fqF+7YoHUVhd0BIzw6pr95+Zz+8sUzGhgxp2gtc9v1i3dt1P3XVusvXzyjJ97olGGYU6F89uY1+o3mzWqsWnldMHsjcflcdjntK6+oO53OaHggrlBvTN0dw3riR2dlGUmpPG1ViTFzgZfDXTReDJbf9YYujLgUciNnJeyLnnB8vBisW6+eCWpyLem1taX61I11+vRNtdpcU7p0G7mARkeS2Y5hvR3DOn82rOG+UdniM3dctFgt8lY6zYKw8a6Lvhrz7xJ/YX1R4WTvsPZ//z0990G/JKnIalFq/EVwbW2p/uCLN6lpXdlSbiJWiJUwXs4H9sPylU5nFO4dNaeP7BxRcPz3SDAx7fWz3cwnppAc7xjm9hXzBQtgHjBe5rAvAGB2GC9N7AcAmB0KwArI1T5ZhmEo/tZbCj/5lCJPP610ODdFivP66+V74AF5P/sZFZWXz+dmAxiXTmfM6c96Y4oMjCrcn/sZGYwrc6kuNxaptMyZ1zVsojjMV+VSsWtldXWaDxwQmCb2w13/+bvqjJof2Fss0seurdZX7tqgezZVFtQH+T3huP7ixTP6fy+fUzRpTntV73dp90cCemjbWrmKc0VQp/uG9T9aTunpN7slSVaL9OBtDfrXH9tc8AVwqXRGLe/16Vsvn9WLpwfVWOXR3331DlV7nUu9aQsilkzp5//8FbWeD6m61KG/+uUP6c32oFpe6VD3hRFVZCyqSFtVmbHKm7Fopld0UbFV/ppJRWHjXcN81S46HYDcmGRJ9oVhSMPdkqdass3v+5qBkYR++E6vfvB2t15qG1R60nuuxiqPPn1Tne7dUq0b1nhXRDFtfCytE+eG9OLpAb3YNqi3OkLZArhiQ6rIWFSrInmShsoyFtVZi+RPW2Rc5osK/mqX/NXubFGYv9olf41bzpLl03WxLxLX/2g5qUdfu6CMYRZ+/fwd6/Xr92/SP33Qr997+l0NxcZksUi/cMd6/fYntqjUyRRouHJkh4n9UHgSsTENdkU12DEy6ffIjFMLOz12s0vYmhKza1h9icrXeGQvLvzcBBYT42UO+wIAZofx0sR+AIDZoQCsgMznk5VJJjXy/PMKP/mURp5/XkqlzAuKilTykY/I94UvqOS+e2UtLr76DZ/EGBtTKhRSPDikRHBIiWBIY0NDGhsKKxUKKRMOKxMOyQiHpeGILMPDKl5Tq/KPflgl99wj5403Mm0lVqRMOqPhYEKR/lGFx4vDItkCsdiMU0pOcJbY84vCql3yVZqdxNze1flNXQ4ITBP7YWgopNaeuL750jn96GR/9vJN1SX6yp3r9cWmBnkcy7eQ8HTfiA7/qE1PvN6psXSug8fXPtqoz9xcd8mpnN7tiuiPjp1Uy3u9ksyTwbu2rdWv379Ja/yuRdn++dI/nNC3Xz2vv331vLrD8bzLGqs8+vbuO1VV6liirVsYyVRGv/rXx/Wjk/3yOov02NfuzJvS80Iwpr9v7dTjrR06H4ypyJDK0xZtdjt1e0WpGqx2xYMJhftiyqSnf5tqtVrkq3aprM7sFFZW61F5nUf+WjcntVYRciNnwfdFJi0Nnpa6fzrp500pEZZ866QH/o+08cPzv15JQ9Gkjr3Xq394u0cvnBpQMp17j2WzWrSpqkQ31Ht1U71PN9b7dH2dd1nnoySlM4be6gzrxdMDeqltQMfPDimRyn/vGKj06K5NFbpnU6XuCFTIarXoL144oz//8RmNJFKSId1e59Mv3dSgBnuRQn2juS8u9I9e8osKDneRfOMdw3Ldw9zyVbtU7FycfRdNpPSNH7fr8I/aFRsvEP/kDbXa96lr86b8DEaT+v2n39PjrR2SpBqvQ1///I365I21i7KdWHnIDhP7YWUwDEPDg3FzGslOs5v5YOeIQr0xTftpr0XyVblUMd4lrLK+ROX1HvkqXQXVNRJYTIyXOewLAJgdxksT+wEAZocCsAKyUOGWGhpS5OnvK/zkk4q//XZ2udXnk/fTn1K6+dN6zlql8OiYEqmMkqmMkskxGSMjsgxHZBuJyDockT06LHt0WMWxETliw3KORuUcHZY7EZUnHpUnGZN7LH6JLbk8m88n9113quSee+S55x7Za2qu9uEDy55hGIpFktMWh0UGRjU6PHbJ2xc5bPKNT+dT0VCiyoYSVa4tVUmZY0UXhnFAYJpuP7T1j+ivXzqroyc6sl20Sh1F2rmtQV+5c4M2TDpRutRePz+kP3u+TT98tzd70uFDG8v1ax9t1L1bqub0Gn7jQkh/dOxktgCu2GbVz96+Tv/83sZl3TnLMAwdPzekv/7JOf3D293ZArhyT7Ee3r5W915Tpd949A11h+PaXF2iv9t9hypLVkYRWDpj6F9/+3V9781uuew2/c2v3q6t66efssswDL12dkiPn+jQ0291mwUN427fWK4v3lave2r9SgQTGuqJKtgd1VB3TEO9MaUS03c6kEUqLXfmTSdZPl4k5nDTMWalITdy5nVfpMek/g/yi7163pLGope+3e1fkz72u1LxwnVsjMTH9Ox7ffqHt3t0/FwwO6XwZBaLtLHSYxaErfHphnqvbljjk8+1dGOAYRhq6x/Ri6cH9eLpAb3cPqhIPJV3nepSh+7eVKm7N1XqrsaKGQueh6JJHfpRu7750hnFx8yisds3luvffmKLtm8wO0Nn0hlFBs3peMN9owr1xRTqjSnUF5txCrEJbl9xtlvYROcwX5VLpRXOeSkOS6UzOnKiQ3907KT6h81tuW2dX//+09dp24aZO1u/eHpA//6Jt3R2MCZJ2nF9jf7zF25Qna+wCsOx9MgOE/thZUsl0wp2R82CsK4Rs1tY58iMn0UUOWyqWOMxf8a7hVXUl8jp4f0zwHiZw74AgNlhvDSxHwBgdigAKyCLEW6J06cVfuo7Cj31HaX7erPLOz2VGi52qTQ5Km8yKs9YXFZd2VOdkUVRu1ORYo+Gi10aKfYo5vQo5ixR3OlR3F2ihKtESU+pRotdMtpOa2vfB7q175RKUvkFZI7Nm+S52ywGc2/bKqtz+Z7ABxZKcjSVnUpy8tSSkf5RjQzFp/+mrsxuDZUNJapsKDULw9aWqLzOI1vRypgGjQMC08R+eHfP17TuK1+W+/bbZbGaz/FwfExHT3Tor39yTmcGcifi79tSpa/ctUEf2Vwl6xJ8c9swDD1/sl9/9nybXm4PZpfvuL5GX/to44wFQLP12tmg/vs/fqBXzpj37bRb9ZU7N2jPRxtV7pnfzpdXI5pI6ck3OvWtn5zT+z3D2eW3rfPry3eu16durMtOVXZ2IKovHX5ZPZG4rqkp0d999Q5VFHgRmGEY+vdPvq2/feW87DaL/vwr2/XRa6pmddvRZFr/+E6PHm/t0AunB7LjoMtu06durNXOrQ3ZDjhGxtBIKKGh7vGisJ6YhnrM4rB4dOYCW4+v2OwYNl4UVl7nVlmdR66S5fMawtyQGzlXvC9SCanvXanrjVyxV+87UnqaIiG7W6q9Saq7JffjrZee+bp04pvmdcobpQf/TFr7ofl4WJdkGIb6hhN6qyOst7vCerszone6wlO6LU5YX+HOFoTduMbsFraQGdIdHtWLpwf10ukBvdg2oN5I/j4tdRbpjoDZ4evuTRVqrCqZU5F033Bcf/pPbfp/L5/PdkX76DVV+q2PX6ObG/wz3i6VTCvcP5otCAv1jSo8/vflvqTgKrWrtMIlX6VTpZVm99rSSqe8FS6VlDsuOTWvYRj6pw/6tf8H7+lk74gkaV25W/s+ea0+fVPtrB57fCyt//3saf3Z821KZQx5im367U9s0S/cuUE2OtdglsgOE/thdYpFkrluYeNTSQa7okpf1IVygsfvUEW9J1sQVlFforJa94r5DAKYDcbLHPYFAMwO46WJ/QAAs0MBWAHJPlkDPfKWVUnW+f2AxDAM/bQjrKMnLui7rR3a2PG+ms8f193db8mZnv7D+5TTpVSJV2lPqYxSrzKlXlm8Pll85o/N51eR36eiMr+Ky8pUXFEmh88np9OuYptVxTbrZYsL3u+J6PDz7fre6xe0afCctvZ9oLuHTmtd/zlZJr3cLA6H3Nu3y3PP3Sq55x4VNzau6O5GwGykUxkND8YV6otpqCemwY4RDXSMaKg7Ou1UPlabRWW1HlWuHe8UNl4g5iwpvG/qckBgmtgPr27arBKbTcXr18v/8MPyPfiAisrMQqpMxtCPTvXrr146q+c+yE0PubHSoy/fuV47tzao1Lnwr4FUOqOn3+rWnz3frve6I5LM6RofuK1eez4S0Oaa0nlbl2EYeqltUH/4ww/Uej4kSfIU2/TL92zUr344sKSdXdr6R/Stn5zT4yc6NDzexcppt+oLt9TrF+5crxvrfdPe7sxAVF86/BP1RhK6trZUf/vVO5ZVQdtc/bd/fF//33Ntslik//XPbtNnb15zRffTFRrVE6936vETHWqfVOhY73fpwdvq9TNbG/KmB5tsdDg53i0sllcgFg3N3PHGVWrPTiFZNqkwbLVOx1tIyI2cWe2LZEzqfXu80OsN83ffe1ImNfW6Dq9Ue7NZ5LXmVvN3xSbJOsMUq6dapO/8S2m4W7JYpbv+lXTf70hFi1/Y2j+c0DtdYb3TFckWh3UMjU573Xq/SzesyU0feUO9V9WlV/YFlVAsqZfbB/XC6QG9dHowb/ySpOIiq7ZvKNNdjWaXrxvXeFV0iYKp2eoKjep/PXtaR45fUGr8veLHr6/Rb378mrzpd2cjHh3LdQzri40XhplfWEjEpnmdTGKxWlRS5pC30ilvpUveCpe8VWZxWNfYmP7wR6f0YptZyO132/Wv7t+sn79jvYqvoIjgg55hPfL3b2bfD9yy1q/9D96k69es7nEAs0N2mNgPmJBJZxTqG50yjeTw4PQF1Varxey0u8b8/MEsDPPI41/ZHcuxejFe5rAvAGB2GC9N7AcAmB0KwApI9sn6d6XyOiyStUiyOaSiYslWPOnvycuKzRMll1gWTdn0Tu+oXu+KqXMko6TsShpFKnG7tbWxRrc3VMhzvlsq2yBbTb1sfr9sPp9sPp8s9sU7Qd4ZGtWf/7hd3371gkbH0ipNRtUcO6cHUxdUe/KnSvf15V2/qLY2WwzmufNO2XzTnzAHVqP0WEbBnqgGLoxooGM4Wxg208m4kjJHdurIinqzW5iv0iXLMu6OwAGBaWI/nHzkEWX+8YfKRM0TyJbiYpV+8hMq+9KX5LrttuyH62cGovrrn5zV0eO54iNPsU07tzboy3dtUGNVyeVXahhSbND821N52avHx9I6cvyCDv+4XReC5kl1d7FN/+xD6/Qr92yccdqq+TDRQeQPj32gtzvNorNSZ5F2fzigX7pno0ocVz891Wyk0hm1vNenb718Vi+eHswu31Dh1s/fsV67tq6VbxZTDrb1j+ifHX5ZfcNmEdjfffUOlRVgEdg3ftSu3//+e5KkP3jwJv3s7euu+j4Nw9DrF0I6eqJD3/1pl4YnTZe2dX2Zdm5t0GdurpN3FsWOidFUfsew8b9nOrElmV0Xyyd1DJuYUnK6k1vpjKG+4bi6QnF1h0c1MJxQfZlb19aWqqHMxcmwBUJu5EzZF/GIOW1jdhrHN6SBk5IxTYcPV5lUd2t+Z6+yjXP/8srokPSDfye9+W3z39XXSw/8qVlAtsRCsaRZENYZ1tudZnHYmYHpp7SsLnXopnqfbqj36cY1Xt1Y71Odzznl//FoMq3j54LZgq+3u8J5XVytFummBr/ubqzQ3ZsqtXV9WbYL5EI4NxjVn7Sc0hNvdMowzKkwP3fzGv1G82YFZvNe4DISsTFFBuKKDI4q0j/+eyCuyMCohgfjM3aPmZCUoYjNkK/SpRuvqVBVrSdbLHYl00tmMob+9tXzOvCD9zWcSMlmtehXP7xRv/Gxa+QqXrj9vFDSGUPxsbQ8i/Q+ZjUjO0zsB1xOYjSlYKfZJWxiCsnBzhEl49NPxe5wF03qFGZ2DStf45mX6YOBpcR4mcO+AIDZYbw0sR8AYHYoACsgUwrAFpvVLm36mHTDg9KWT0nOpSmoGoom9a2Xz+mbL51VMJqUJJW77foXG6z6ROyMMq++rNjx4zKSyUnbbpXrppvkueceee65W66bbpKliA+NFlM0kVLfcEJ9kbj6hhPqH06obzih8GhSt60t06duql2UDkOYmWEYGg7Gs8VgAx0jGrgwrMjA9AUNdoctWww20SmsvN4j+zI5ScYBgWnyfiix2RR++mkNffvbSrz7XvY6js2b5f/Sw/J9/vOylZpdtkYSKT3R2qFvvnRWbf25k9of3lypX7xzve5bZ5c1cl4KnZeGzpm/Q+el0PjfYzFJFunGn5HufUSq3DRl28KxMX3r5bP6yxfPanBiPPcU6xfv2qAv37lefvfiFS4ZhqF/fKdX/+PYSX3Qa063WOa262sfbdSX79ywYCd/+4cT+var5/W3r57PTjNmsUgfu7Zav3DnBn14U+Wcp+E83TeiLx1+WQMjCV1f59XffvX2Rd2XV+ux4xe09+ibkqS9n9yif37v1NfO1YqPpXXs3V493tqhH53s10RDREeRVR+/wZwi8p5NlXOeAiwZTynUO1EQFjMLxLqjCg+MasaZs+0WpUqKNOKwaMCSUUc6pdOJhIaUkaZZfamjSFtqS3VtXamurfXqurpSXVNTSobOA3IjJ7svvvmz8obfk4Jt01/RU53r6DXx41trDmTz5b3vSt/9DSk2YH4B5iO/LX34tyTb/Lzm0yNRRX/0vKw+nzx33XXFBZbD8TG90xXJFoS91RlWW//ItFNxV3iKswVhTrtNL7UNqPVcKDv14oRN1SW6u7FCd22q1B2BiiXpTnmqd1h/3HJKT7/VLUmyWS36maZ6/fr9m7W23L0g6zQyhqLhpCKDoxoeGFVfT1Qn3ulXX3dUpWmp1LDIMt0AOcl000v6a92qqC+RwzXzcWBvJK6vf/cdff+tHknS2nKXfu+Bm2Y9BfFSMgxDb3aE9cTrnfrem90aGEmozG3X+gqP1le4zd/lbm2odGtduUeVJXSmnA9kh4n9gCuR/QxivEvYxFSSob5RGdN0LJckb5VLFWs8qmgoUeV4gZi3yjXnYyZgqTBe5rAvAGB2GC9N7AcAmB0KwApI9snqvSCvxymlElI6af5M/H2JZUYqoZ5gRO9e6Nfp7kFlUkkVK6VijamuxKpN5XbVe4tkN8am3s/okHlSf4KtWNrUbBaDXfNJybn4YTuaTOvIiQv6xqSOMS67TV/60Fr9yvY6+U+9o+gLL2jkhReVbMs/aWX1euW5885shzB7Xd2ib/9KYBiGhmJj48VccfVFzKKuvuFckVf/eNFXNDn9tzonOO1WfeKGWv1MU4PuvoKT7lg4ydGUBjpH8rqFDXZGp+3MYLFI/hq3OXXDeMewyoaSJZn6jAMC03T7wTAMxd9+W0Pf/rYiT39fRny88Mjtlu8zn5H/Sw/LFaiXQudlDJ1V++n3dOb0e9LQOdVb+tVgGVCpZfrpr3Isyla8WKzSLf9M+uheqWyDusOj+r8/PqO/e/V8dmxoKHPpqx8O6KFta5e000YmY+h7b3Xrj4+dzE63VVni0L+4r1H/7EPr5qXbimEYOn5uSN/6yTn94O1ujaXN/VTuKdbD29fqZz+07qpPqp/uGx4vAkvqhjVe/e2v3jGrDmJL7R/e7tE//38nlDGk3R8J6JFPXbvgY0dvJK4nX+/U460dOtk7kl1e43XowdsatHNrvTZVz3760eH4mLrDcXWFRrMdvLoHzSnQEoNxWYdT8qcsqkhbVJaxyDpDEcOYDEWKLRrzWGV47epMpfTeSEwDyig1zU3WlrvMgrDaUl1b59W1taVaX+EhT+eA3MiZ9osn3oZckddE0Vdp7eJsUHRA+t6/kd77jvnvulukBw9J1ddd0d0ZY2MaefFFRb7zXQ0/+2w2B0vuvVe1X///yV5TMy+bHUum9F53RG935rqFneobUXqGk9p1Puf4lI4VuquxUrW+K5s+ciG80xXWH/3wpJ553+y6bLdZ9KXt6/Qv79+kGu/CbOdYOqO/feW8/uSZU9kv/ty+sVyPfGKLNricigyMKjIYV6R/NK+D2OWmlywtd6qioSRbQFBRXyJ/tUvWSVNotrzbq//01NvqGi/O/sKta/QfP3u9KksWfxrSyzk7ENWTb3TqqTe6ZuxENx1PsU3rKjzaUOHWugq3NowXiK2v9KjO66SYYpbIDhP7AfMpNZbWUHdMg50jGugcMTuHdUYViySnvX6R3aryiTF9Tcn42O6Rq6RwvgSD1YPxMod9AQCzw3hpYj8AwOxQAFZArvTJ6h9O6Kk3OnX0RIfe7xnOLq/1OvXFpnr9zNaG2U3p1fee9M4T0tt/Lw2eyi23OaTNO3LFYI6rnxJkLlLpjL7/do/+7J/a9G63OX2XzWrR529Zoz0fDejaWq/Gurs18sILir7woqI/+YkykUjefRQ3Nqrknrvlueceubdvl9W5fE62LIVUOqOBkWReUVf/pMKuvuGE+iNx9Y8ksoULs+Eutqm61KHqUqeqSh2qKnXIVWzTD9/pyeswVON16IHb6rWzqUGba2Z/0h2LJ5POKNQ7qoGOYbMwrNPsFjY6PDbt9Z0eu8rXeMwPZcd/l68pkdOzcAUpHBCYZtwP8YgUOq90xwcK/+CYhp5pVXJSRjjLkyrbFJV3XVzWoun/n/cafnWpWtaydVobuE7l9Zsk/zrJv17yNUj970vP/YF08h8kSYa1SC/7PqO9fTt0IV0uSbq2tlS/dm+jPnNTnYpsc5webAGl0hk9+UaX/uSZk9ki4zqfU79+/2bt2tYg+xVsazSR0lNvdOmvf3I2L49vW+fXl+9cr0/dWDev03md6jWLwAajSd1U79Pf/OrtS9I9ZrZePD2gX/rL15RMZ/TQtgYd+JmbF7Vw1DAMvdUZ1uMnOvTUT7sUiuXGs1vW+rWzqV6fuLFWsURaXeHx4q7QqLrCZpFXV2hU3aF4durUy6kscaje69AGh0O1FpvKxixyjKal8JjiwYQyl8hXW0mREk6rgtaMzifHdG4sqSGrobDVUGbSLnPZbbqmttQsCptUGFZIHeEWE7mRk90XP/h9eTfdbhZczWJK3wVlGNLbj0tP/5YUD5lfSLn/P0h3/kvJevmx0zAMxd98U+HvfFeR739f6aGh7GX29euU6uqWMTYma2mpav7dPvm++MUFGYPiY2l90DOcLQiLJtP60IYy3b2pUhsrPcu+I1Pr+SH90Q9P6oXTA5LMzolfvnO9vvbRRlXMU3HURFfOA//wfragqbHKo0c+dZ0+dl31ZfdRYjRlFocNmEVhwwOjCg+MKtgV1chQYtrb2IqsKqtzm91kxovCnJVO/Z+Xz+ivXjqrjCH5XHb9zqev1UPb1i758zQwktD3ftqlJ9/o0hsXQtnlTrtVO66v1QO3rtHW9WXqDI3q3GBM5wZjOh+M6uxATOeDMXWFR6ftTjeh2GbV2nJXrnvYeGHY+nK3GsrcKi5aPu/ZlhrZYWI/YDHEIkkNdo0o2BnVwHi3sGB3VOmx6acNdvuKs13CKurNArGyGo9sdsYwLB3Gyxz2BQDMDuOlif0AALNDAVgBmcuTlUxl9Oz7fTp6okP/9EGfUuPfMi8uMrssXenURpLMky997+aKwSZPCVPklDZ/fLwY7BNSsWfu93+FDMPQj08N6M+eb9NLbYPZ5fdtqdLXPtqoD20sl8VikZFKafStt8xisBde0Ohbb0mZ3IdFluJiubdtk6upSfa6OtnralVUWyt7ba2s7oWZ5mSxGYahvuGE2vpG1NY/orb+qM4MRNUbiWtgJKHBaPKSJwQu5nfbs4Vd1aUOVXlzRV7VEz9ep0oc00+3MjFdyeOtHfrORSfdb27w6Yu31evzt9ar3MMJ6+UuGk5kp46cmEoy1Bub8fXk9hWrvM6jijUlKq/3qLzOLA4rdl79FK0cEJiy++Hx35J3rCc3VePoUN71DEMa7S/WUJtbwxdcMsarSKwOi3y31ajs/lvkuO4mqWy9Rj31euqMVX/xSk9ex6S7N1XoK3du0Meuq8nLl/ePP6vMM7+n60dPSJIShl3PeD4j38f36q5brl/yk6iXkkxldOTEBf3vZ09np2hcW+7Sv/7YNXrg1jWzKlpr6x/Rt35yTo+f6MgWBzntVn3hlnr9wp3rdWP9wk2p/EHPsP7ZN15WMJrULQ0+/fWvLM8isJ9eCOlnv/Gyosm0PnlDrf73z962pAWBiVRaz73fp6MnOvPeR82Wz2VXnc+pNX5X9vcav1N1PpfW+Fyq8TnkKJq5YCWTzigyEFewO5qdRjLUG1Oob1TJ0UsUmFmkMadVIZuhjtSYBiwZDVkNDVkNDVsNGeP/1ep8zryCsOvqvNpY6bmiwsaVhNzIWdb7ItItffdfSad+aP577e3SA38qVTROe/XkuXMKf/d7Cn/3Oxo7dz673FZRIe9nPi3f5z4v5403KHn6tLr+/X9Q/E1zClrP3Xer7j9/Xfb6+gV/SIXoJ22D+sMffqDj58z3E+5im3757o366ocDV9VxsvX8kP7g6fey91tZUqzfaL5GX9q+dl5yIR4dU7Armu0qM9gxosGuqFKJ6bsVu0rtclQ61RqO6v3RuPptGQUa/fr9nTfP7ktU8yiaSOnYu7164vVOvXB6INtJzmqR7t5UqQdvq9fHb6id8ZhrsvhYWh1Dozo3GB0vEIvqXDCm84MxXRiKXfJLPlaLtMbv0oYKz3jnMHNKSXNqSbfcxVf/Pv5ihmHIMMzesoZhjP+WDI0vNySrVZfM1oWyrMfLRcR+wFLJZAyF+2L500h2jigyEJ/2+larJTslcEW9Z/x3iUrKHMv6uBQrB+NlDvsCAGaH8dLEfgCA2aEArIDM5sl6pyusoyc69NQbXdlpMiTp1rV+7dzaoM/dvGZ+p4AyDKn3bbMY7J0npGB77rIil1kEdsODZlFY8eIVT73ZEdKh59v1g7e7NXHO9rZ1fu35SKM+fn1N3nQW6XBY0Z/8JNshLNXTM+P9Wn0+2WtqVFRXK3ttney1NSqqHS8Sq6kxi8RcroV+eLOWTGV0bjCaLfKaXPA1cpkOJTarRZUlxVMKuaq8ztzf4z/z+UG7edK9X4+3dui593Mn3e02i+7bUq0vNjXo/mur+dZ5AUkl0xrqiSnYZX47d7ArqmBnVMPB6T+QlcypefI7hpWorNatojlMDcgBgWnaabwmuCvGO3aty3Xu8q9XSj6Fn3tdQ48/obHzuZPlrm1bVfbwl1T6iY/LWlwswzD0k/ZB/dVLZ3Xs3d7seNtQ5tIv3LFegaoS/fmP2/XKmaAk6UOW9/R7vid1Tfwt84pFLun23dLdvyG5yxdhb1y5+Fhaf/fqef1/z7VpYMTsHhKo9Og3dlyjz95UN2WapFQ6o5b3+vStl8/qxdO5ouQNFW79/B3rtWvr2kWbkvG97oh+9hsvayg2plvX+vXXv/IheZ3LpwjsdN+wdv3ZTzQUG9Pdmyr0F7+4fUlO4M5kYCShp97o0tETHXqvOyKX3aY6v1NrfNMUd43/9szi5PuVMAxD8ZExhfpGFeqNKdwXU6jPLAwL98WUSk7f/UCSMhZpuEjqU1pD1oyCVkNDNkND1oyiFvNLApuqS3RtXamuq/Xq2rpSXVvrVamzSIlURmPp8Z+UoWR60r/TGSUnlo1fz7zcmHS5+e/kpPtJTrq/iX/nLje0uaZE//K+TfPWUWg2yI2ciX3x9We/Lr/PL4fNIWeRUw6bI+9vp80pR9H4b5sj9/f4b7vVvjAnUw1Dev1vpH94REoOm3my4+vS9q9KVqtSQ0OKfP/7inznuxr96U+zN7O4XCptbpbv85+T5847ZSnK/79qpNMKfvOv1P8//6eMREJWt1vVv/1v5X/4YVmsvPe8mGEYev5kv/7whyf1VmdYkuR1Fmn3RwL6xbs3zqoQacL5wZgO/OP7evrNbklmofRXPxzQno82zul+roSRMRQZjOcKBzrM4rBw/2h2NuvJMjLHz7I6j7bfWqOadV5V1HtUWu6c99f7WDqjF04N6Mk3OvXDd3o1OpYrVLulwacv3Fqvz95Sp+rS+etgnc4Y6proHBacVCA23kls8jZMp8xtl9ViyRZrZYxc0ZamKeLK5F02faHXbG1bX6YHbqvXZ2+uW7Rul2SHif2A5SYZT2ULfifG9WBXdMZpgh3uIpWv8eR1gpyvL6cBkzFe5rAvAGB2GC9N7AcAmB0KwArITE/W4PiJySPjJyYnVJU69MWmRZxGzzCknjdzxWBDZ3OX2d3m9JA3PGhOF2lfnCKpswNRHf5xu46e6FAyZZ4UDVR5tOcjAT1wW/2UE8yGYSjZ1qboiy8qfuqUUt09GuvtUaq7R5lodLpVTGHz+7Mdw4rqamWvqR3vIjZRMFYrq2N+T2aGYkmzsKtvotjLLPI6H4xlvxl+MatFWl/hUWOVR41VJdpY6VGNz5nt5FXuKb6yDnHzaHAkoe/+tEuPt3ZmTypJ5kmFz9+yRl9satDNDT6+pVmgkvGU2d2ma+LH7MAQCyenvb7FInkrXWZRWH1JtluYv8Yt2zQFgRwQmCb2w7mjv651DTeMF3mtk/xrJcels8HIZBR96ScKPfptDT/7nJQ2T/jZysrk/5kvyv/QQypet06S1DEU07dePqdHX7uQ18VPMgs4H7i1Xns+GtCmqhKp/Tnp2d+XOo+bVygule74NenOfyG5/PO+D+bTaDKtv/7JWf3Z820aGn+cW2pK9W92XKNP3FCjgZGkHn3tvP72lfPqGu8YZrFIH7u2Wr9w5wZ9eFPllGKxxfBuV0Q/++cvKxQb023r/PrrX/6QSpdBEVjHUEw7//Qn6onEdUuDT//vq3cs+In+qxFLpuSy25Zl7hiGoWgoqVDfeGFYb64wLNw/eskpJZMWY7xTmFkYFrIZClrN7mHxJax58TqL9Fsf36Kfu33donSEIzdyJvbFdX96nWyuKy/ItFqseUVjUwrFLioscxW5tLlssz7a8FFVuCouv4LQeempfyGd+ZEyKWlk7DaFBzdq5OXjUmr8BK/VKs9dd8n3+c+p9GMfk9Vz+Q7FiTNn1P0f/qNGT5idK90f+pDqfu+/ZDMP+QzD0A/f7dUf/fCkPug1pzgu9xTr1z7aqF+4c/0lpzceiib1v549rW+9fFZjaUMWi7Rra4N+c8cW1frmr6jpSowl0uaXF7KdwkbUd35EYzN0Yix22rKdZCoaSlQx/p612DW3XDMMQ69fCOmp1zv1vTe7NTjpi13rK9z6wq31euDWNQoscgeyiW3rH0lki8Eu7iB28XvApVJss+q+a6v04G31uu/a6gUtLCc7TOwHFALDMDQylJjUKcwc40M9MWVm+OzMW+nMje3jXcN81e4lOabDysB4mcO+AIDZYbw0sR8AYHYoACsgk58sl6dE//RBv44cv6BnJ3VJKrZZteP6Gu3c2qAPb65cuumTDEPqfiNXDBbKdZBRcUmuGGxTs2Rf+A/2+4cT+uZLZ/Stn5xTJG5+YF9d6tAv37NRP3v7ull1QkkPDyvV06Oxnh6NdXcr1dOrsZ4epXq6NTb+txGLzWp7bOXlKqqtGe8iNj7FZJ1ZNGZfs0ZFdXVTugykM4Y6h0YnFXjlCr4mnxS4WImjKFvk1Vhdkv17XYV7WXVYuZyTvcN6vLVDT77eqd5IIrt8U3WJvthUrwdvq1edb/l0X8OVm5iaJ9hlfkN3cLxALB6d/oSS1WqRr8Y93ilsomtYieQYU1mZf9UfEExkx41/dqPu2HiHdqzfofvX3a9KV+Wc7mest1eho0cVOnI0r1Oi5+675f/Swyq9915Z7HaNJtP6zk879VcvnVNPJK4v3lavX/nwxqn/Pw1DOvmP0nO/bxYPS5LTJ93169LtX7tscdpSG0mk9JcvnNHhH7dreDxXNlZ61DFp2qRyT7Ee3r5WP/uhdVpbvvRTCL/dGdbP/fkrCo+Oaev6Mv3VL39oSYut+ocTeujQT3RmIKrN1SV6bM+dKmOq3wWRSWc0HEzkdwzrNf8eHoxfsrtK1GJowJbRgNVQyG4oZJeGHRYZdquKbRYVF1llt43/FJnLsv+2WeUosso+sazIqmLbpH/brCqevGz8vmRI33zprN4d/2LDtbWl+vrnb9DtgVkUBF0FPkjKmdgXf/BPfyCLy6J4Kq5EOqFEOpH9O56OK5FK5P0dT8cVT8VlTNc2aQ4ssui26tt039r7dP+6+7XOO33hlZFOK/bKKwr/5R9p+OW3lRnLnYx13nCDfJ//nLyf/rSKqqrmvA1GJqOh//e36vujP5IxOiqLy6Xqf/MbKvu5n5PFVjjvoRdTOmPoe2926Y9bTunMgPnlmepSh379/k16ePu6vA6+8TGzoPp/P3s6e3z2kWuq9MinrtV1dcv3/59ZbJvQ0y+c1w9eOC93LKOqtFVVhlWWGV72E8UDlWtLVdlQosqGEpVWTO0W1t4/oiff6NJTb3Tq3GDuuLLCU6zP3bJGX7h1jW5d61+WRcgTwrEx9Q6buWKxmF86kiyyWCSLJIvFMv5bso4/Doslf7ll4vqT/77othbL1OXh0TE9/Wa3nni9M5sfkllM/Jmb1+iLTfXauq5s3os2yA4T+wGFLD2W0VBv1CwI68hNIxmd4ctpNrtV5XUeVTSUqLK+ROX1ZucwVynHMrg8xssc9gUAzA7jpYn9AACzQwFYAZl4sv79o6/oH06GNTCS+yDi5gZfdorHZXfy1DCkrtbxYrAnpfCF3GXFpdKWT40Xg31MKlrYaX5GEin93Svn9X9fOKOeiNmZpdRRpJ+7Y71++e4NqvZeeTGaYRjKDA9rrHtyUVh3XhexsZ4eGfGZp73L3pfLrXjDevVXNehsaa3eKq7Sy/JrwDZzAcEan3O8wKskr+CrutSxrE8SzFU6Y+iF0wN6/ESH/vGdHiXGO7tZLNI9myr1M00N+vgNNXIXL98OMpg7wzA0OjymwfGisMkFYsn49NPQJI1R/ebhz676A4LpurhMnFjfsX6Hmtc3q9ZTO+v7M1IpjfzoRxr69rcV/fEL2Xl5iqqr5d+5U/5dO2Wvq5v9BmYy0vvfk577A6n/PXOZu8KcFnL7ry7q9MFXIhwb05+/0K6/eOGMoknztXjbOr++fOd6ferGukt2PVkKb3eG9bPfeFmReErbN5Tpm7/0oQWbrvBSIvExfenQy3q3O6J6v0uP/9pdS97pZbVKj2UUGRzNdgyb6CAW7hvVyFBixtt5/A5VrPGobGKq3roSldW5522anHTG0N++el7//R8/UHjULAD+/C1r9Dufvm7BXit8kJRzNfvCMAyNZcbyisKmKxSbKCabvCw6FtWrPa/q3cF38+5zk39TthjshooblDh5UuHvfEeR7z2tVG9v9np2r03ehpB860fl2Ha/9Ln/KXnnkEnTSF64oO7/+J8Ue/llSZLrtttU9/u/L0dg41Xd70qWSmf096936k9aTqkzNCpJqve79K+bN+vB2+r1/be69d/+8QN1DJmXXVtbqt/59HX6yDVzL9RbSqFYUv/1B+/r269dkNWQGp0O/cqN9Vpns2e7ykRD04+jDneRKupL5Klx6Wx6TM/3hfTywLDS44dtLrtNn7ihRl+4rV73bKo0i2Mxax/0DOuJ1zv11Bud6g7njr8bylx68LZ6PXBbvRrnqYMa2WFiP2Alio+MabDTnD5yomNYsGtkxmnX3d5iVdR7JnWCNN8fFy2zY0IsLcbLHPYFAMwO46WJ/QAAs0MBWAGZeLLW/uY3ZbVXqrKkWA/eVq+f2dqga2sLJOwMQ+o8kesMFunMXebwSls+bRaDNd4vFS1cIVsyldFTb3Tq0I/adbpvRJLZPe2LTfXa/ZHAFU2nkc4YGkmkzJ94SiOJMQ3HzX8Px81lw/ExJYZCUl+vrAN9sgf75RwakDsclHc4KP9IUJXRIdmN6Qtahhyl6q+sV6xhg2yBRvluuE71t16vjWurluQE/lIbjo/p+2916/ETnXr1bDC73FNs06dvqtMXmxp0+8ZyWvOvYBNTOFw8jeRQd1TD0WH99l9+ftUfEExkxzsX3tHLoZfVcq5Fbw28lXedmypvUvP6Zu1Yt0NrvWtnfd/Jjg6FHjui0OOPKz04aC60WlVy770q+9LD8tx99+y7pGTS0tt/L/3TfinYZi4rqZE+/FvS1l9c8ALhqxWMJvXc+326pqZUNzX4lnpzLunNjpB+7s9f0XA8pQ9tLNc3f2n7ohbNxsfS+vL/fVWvng2qsqRYR752lzZWXn5KNiy+sURaQz3RSd0YzcLbSxWGeSud41P0lmS7MpbVXvmJr2A0qf/+ww/0d6+el2FI7mKbfv3+zfrlezbMeydTPkjKWep90T3SrecuPKfnLjyn4z3HlTJSqogYuvtdQ/e9a1V9b24KPqvPJ+8nPynf5z8n1y03y/LKn0rP/hcpnZScfunT/126aaf5bYErZBiGQo8dUd/Bg8pEo7IUF6vqX/26yn/xF2UpWn3vwWcrkUrrsdcu6H89e1p9w+a4UeIo0kjCfP5qvU791sev0RebGpZ86vmr8Ur7oB554i2195tdz+7dUqX/8oUbtbbcrfjImFk40DGigQvD6u8Y0VB3dNppedMylHDZVNFQohtvqFTdBq8qG0rkKllmX/AqIOmMoVfaB/XE6536wds92deeJN3S4NMDt9Xrc7esUWXJlb/PXOrxcrlgP2C1yGQMRfpHNdg1Pj3weMFveGBU0zVAtVgt8le7zIKwSdNIlpZP7QSJ1YHxMod9AQCzw3hpYj8AwOxQAFZAcl1crtemqpv0mU0f071rP6Jryq4pzA8NMhmp83iuM9hwV+4yh0+69jNmMVjg3gUrBstkDD3zfp/+7Pk2nTg3JMk8N/SJ62v1iRtrFB/LZAu3hrOFXeZPJJ7SSHwsW/A10fnlatkyaV2fCWlbekjXxvtUP9QlX88FFfV2aaY5muxr18qxebMc12yWY/NmOa+5RsUbNshiv/zUlivF+cGY/v71Dv19a6fOB3NTpjSUufTF2+r1xaYGbaDAYNXIZAx1nu3Vusa6VX9AMF3Q90R71HKuRcfOHdPrfa/nTdW1pWyLWQy2foca/Y2zWoeRTGr4mWc09O1HFXvllezyoqoqOW+8UY5rt8i5ZYsc12xR8fp1ly4KS6ekN78tPX8gN32wt0H66G9Lt/6cZFs949pC+umFkH7+z1/RcCKlOwLl+otfXJwisLF0Rnu+dULPvt+nUkeRvr3nDt2wZnkXzGGqxGhKQ93mya5gV1TBbrNAbDQy/TQ5Fovkq3ZnC8LK68ypen01Ltlm2dXm7c6w/tNTb6v1fEiSFKj06D997nrdu6V6vh4WHyRNslz2RXp4WH1PP6Xuv/+2nG+1ZafYG7NJJzZZ9NotLnk/eq/ubdyhe9bco5Li8S9x9L0nPfE1c0p6Sbru89Jn/4fkmdv0xxcb6+pS93/6XUVfeEGS5LzpJtX9/u/Jec01V3W/K118LK1v/eSc/vT5NgWjSXmKbfrn923SL9+9Ua7ildEVJZFK60//qU3/57k2JdMZuew2/eaOa/RLd29Qkc2qsXRGPzrZryff6NIz7/TIkzBUnbaqOm1VoMiu8jGLNENHmZIyhznNWEOJKhvMaSR9VS5ZCrhobimMJtNqea9XT7zeqedP9iudMQcUm9Wij2yu1INNDdpxXc2cX5PLZbxcauwHrHbJeErB7qiCndFs4e9g14gS0dS01y922nIFYQ0lqlhjdg4rdlFYvtIxXuawLwBgdhgvTewHAJgdCsAKyHTTeElStbtaH67/sD7c8GHdUXeHPPYCLHLJZKSOV3PFYCM9ucu89dJHflu67ecX9MT/8bNB/dnzbWp5r++q7sdus6jUaVeJo0ilzqK83yXOoimXmX/bs/8ucxfL5576ODOxmBJtbUqcPKnEyVNKnDqp+KlTSvcPzLAhdjk2bJDjmmvGi8OukeOazbKvWSOLdeVOIWIYho6fG9LjJzr09JvdGp70Le+t68v0M00N+szNdfK5VlcRyaOvndd3f9qdPdExV8Z0X2WdpeIim25d69edgQrdts6/aFPicUBgutx+GBgd0LPnn9Wxc8f0Ws9rSk/qQLjRt1HN68xisGvLr51VsXGivV2hRx9T6MknlQmHp1xucTjMMWnLNdmiMMeWa1RUVpZ/xVRSev1b0o/+e65AuGyD9NF/J938kGRdGSeMl9Lr54f0C//3VY0kUrozUKG/+MXtC3oiPpMx9JuPvaEn3+iSo8iqb/3K7frQxvIFWx8W3+hIclJHxmh22t5EbPoTX1abRf4atzmF5KSOYd5K17TdOzMZQ0+83qn9P3hfAyNmN6Ed19foP37meq2ruPrpYsmNnKXcF0YyqZEXXlD4O9/VyLPPykjmCgud27aq/8PX6VggqmPBlzQYH8xeZrfa9aG6D+n+tffrvrX3qcrhl378R9KPDkqZlOSuNIvArv/81W2fYSj8xJPq/a//VZlIRLLbVfXPf00Vv/qrq+rLF1diJJHSj07260Mby6+q49JydrpvRL/zxFt69YzZnfiGNV7dutav77/VraHYWPZ6gUqPvnBrvb5w6xptqPRku9oOjHcKG+wYUX/HiCL9o9Oux+4wCwcqG0pUudYsDCuv98i+QgrqFtrgSELf/WmXnnijSz+9EMouL3EU6ZM31urB2+p1R6BiVp3pyA4T+wGYyjAMRUPJSd3CzI5hQz3Td4KUpNJy53i3ME+2QMxf7ZKVqYBXDMbLHPYFAMwO46WJ/QAAs0MBWAGZeLI+6PxAbwy/oR93/Fiv9Lyi0VTuQ+Eia5G21mzVR+o/og83fFgbvBsKrztYJiNdeDk3TWS031xetkG69xHppl0LeuL/ZO+w/uKFMzozEJ1UwGVXyUXFXFMKuZzm3/M9HdHlpIJBJU6dHi8MO6nEqVNKnDqlTDQ67fWtbreKN2+Sc3Jh2ObNKqqoWNTtXgzxsbR++G6vHj/RoR+f6tdE7VNxkVU7rq/R7g8HdMta/5Ju40IzDEP/7R8/0P/5p7al3hRJkqPIqq3ry3RnoEJ3barQzQ1+2Rfog0wOCExz2Q+heEjPXXhOLedb9JOun2gskztR2VDSoOb1zWpe36ybKm+S1XLp5y0Tj2v0zTfNgtUPPlD85AdKnDwlY3T6E5lF1dVybNki55Zr5JgoDNu4QRZLRjrxl9KP/zCXBxWbpfseka5/UFrBBa2L4cS5IX35/76iaDKtuzdV6P9+ZfuCFGkahqGvf/ddffOlsyqyWnT4y1t1/7U1874eLD+GYSgWSSrYOdEpbCRbIDaWmL57qs1uNbuETTrxVVFfIrfX7AgbiY/pf7ac0jdfOqtUxlBxkVVf+0hAv3bvpqsqYiQ3cpZiXxjptPr/5H8q9OijSk8qIC5ubJTv85+X77Ofkb2+Prs8Y2T0Zv+bevbCs3ru/HM6Gzmbd383V96s+9bdp/udaxQ49l+kvnfNC256SPr0Qcl1UeHxHI319qnn61/XyLPPSpIc112nNb//e3Jef/1V3S8KXyZj6MiJC/r9p99TJJ4rgK0scehzt9TpgVvrdXODb1bH6cnRlAY7R7KFYQMd5nTn6bGp3cIsFslf41ZlQ0l2qjF/tVullc5Zd1tcjdr6R/TU65164o1OXQjm3qfWep36wm1r9OBt9bq2duZxkOwwsR+A2UunMgr1xsYLwkY00GFOtT7TNOu2IqvK6tyqzHYLM39PvDdGYWG8zGFfAMDsMF6a2A8AMDsUgBWQ6Z6sRDqh4z3H9ePOH+tHHT/SheELebdpKGnQRxrMYrBtNdvkLHIuxaZfubG4dPwvzBP/sfFOV5VbpPt+x5zKhRP/0zIMQ6muLsVPnswVh506pUR7uzQ2Nu1tiqqrVflrX5P/S18qvKLBWeiNxPXUG516/ESnPugdliQV26z6w4du0eduWbPEW7cwMhlD/+k7b+tvXjan0fvaRxt1w5orH+iv9GURHh3Tq2eCeqltUP3D+R9ouott2r6hXHc2VuiuxgrdsMY3q2/azwYHBKYr3Q/DyWH9qONHOnbumF7sfFHxdDx7WbW7Ws3rzGKwpuom2WZZlGuk0xq7cEHxD07misI+OKmxCxemv4HdLkcgYHYLa9woh3Faju7HVaQh8/VYfYOZB9d+5spfoNDxs0F95S9eVTSZ1oc3V+obX94270Vg/+PYSf3JM6ckSX/88K164Lb6y9wCK51hGBoOxvM6hgW7zZ/pChskyVVqN4vB1pSoosGjqNOqP3ntjH483mmn3u/Sf/jMdfrkjbVX9F6G3MhZin0R/u731PXbvy1JslVVyveZz8r3+c/Jcd11s3o+28Pteva8WQz25sCbeZdtKF2n+wyn7j/1gm6Ox2UtrZM+/7+kzTuuapsNw1Dk6e+r9/d+T+lQSCoqUsVXf1WVv/ZrshZzUna16x9O6P/802nFEml95uY63dVYoaJ5KMTKpDMK9Y5qoHNYAxdyxWGjw9Mf51msFpVWOOWvdslX5Zav2iV/tVu+KhfFYZMYhqET54b096936uk3uxUeze3P6+q8evC2NfrCrfWq8eZ/pkJ2mNgPwNWLR8cU7DLH9cFOc7r1wa6oUjN8aSL73rg+1zGsvM6jIrpBLmuMlznsCwCYHcZLE/sBAGaHArACMpsn62z4rH7c+WP9uOPHOt57PK97i9Pm1O11t2eni1xTUkBFL4kR6dVD0ot/IsXHOwLU3izd/x+kzR/nxP8sGWNjSp47p8RJc/pIcyrJU2bxxfh/Xc9dd6ruv/yXvA4LK4lhGHqnK6I/bjmllvd6JUn/8bPX61fu2bjEWza/xtIZ/dsjP9VTb3TJYpF+74Eb9XO3r1/SbTIMQ239Uf2kbUAvtQ3q5fbBvKlwJKnUWaTbN1ZkC8K21JROOw3YbHBAYJqP/RAbi+mFzhfUcq5Fz3c8r1gqlr2s3Fmu+9fdrx3rdmh73XbZrXOf/io9ElXi1EklPjipxMkPsgVimZGRaa9vK3HIURKV0xuXwz8mx+ZGOR78HVlv+DR5cIVeGy8CiyXT+sg1VTr8C1vnrQjsL188o69/1+y88/XP36Cv3LVhXu4XK1MmYyjSP6pgV1QDnSMKjp/4CvXFNO1sxBbJ7itWWzKhC5mU+q0ZrQ/4tW/nDdp8iY4t0yE3cpZiX5z7yi8q9sorKv/KV1S997dlsV35GNQX69P/n73zjpOivP/4e/ttu94L7eggIL2IBcWoGEWxd/1FjYmJMRbERGPv3RgVjTVW7F3BBiId6e3gKNf73fY68/tj9nbvuAWW4/o975fzmp2ZZ2af/R5+nymf+Xx/KvqJH4p+YGXZymbXRCkSHO9wMMPlYtLQORh+9xDEHdlvDFRXU37f/di/+QYA/cB8sh94AOOoUUd0XIHgcHA2KCUka0KCsNoyFw1VLgK+6KJa2E8cFhKFCXEYeANBftxWxce/FfPDtkr8oVJtKhVMy0/lrKNz+N3ITCwGrRg7Qog4CATtgyzJ2GrcEUFY8cHPjVUqSEg3hcoEK2XWU3MtWJPjULXRy3aCI0PkywgiFgKBQBAbIl8qiDgIBAJBbAgBWDficP9YLr+L5WXLw4KwCldFs+35Cflhd7Ax6WNa9dC+w3HXw/L/wLLnwBcSBuROVIRgA47r1K51ZySXi/oFC6h84klkrxe12Uz6bXNJPOecHukGBhCUZO79QilHBnD19P7MO3VYq8VGXQmPP8if3lrLD9sq0apVPHH+GM7ogi5nkiSzrdzOssIalu2qZkVhLXZvoFmbZLOeyQOSmTIghSn5qeSnmWP+NykuCBTaOg7eoJdlpctYuHchPxX9hM1nC2+L18dzfN7xzOw7kynZUzBoDK3+nrCTYVgUpriF+fbsUUoF749KRp+kwzByNIaRk0CjhmAQORAESZnLUhACQeRgZF14WzCotA8GkYMBCEpN5kEIBJAlqfm2QBBZkpRtwSBIEqq4ONRGI2qTSZnMylzVuGw0tdimrDeG2pgj++j1HZqDVxTWcMWrq3D7gxw/JI0XLx13xGWNP/6tmBvfWw/AjScN5oaTBrVFVwW9EL8vSF2Zk+piB7UlIXFYqeOAjjc+ZNSJeoYOTSazT3zYGcFoObArkxg3InR0LHz79rHr5N+BSsXA7xehy2678xaHz8Evpb/ww74fWFK8BIc/Ii42SRLTAmpmHHU5x429FqveekTfZfv2O8rvuYdgTQ2o1SRfeQVpf/kL6rhu5sIs6DHIsoyrwUd9pYuGSjcNVS7qK93hz4cSh8WnxJEQEoc1dRCzpvQecVi9y8eXG8v45LcSVu2pC6+P06n53YhMZg6K5/fjB/b6sUOMoQJBx9L03FgpJemkptiBxxn93Fhn0LQor56SY8Zg6gb3gnsYIl9GELEQCASC2BD5UkHEQSAQCGJDCMC6EUfyx5JlmR11O8JisHVV65DkyM1ei87ClOwpYXewVGNqW3e/bXHWwNKnYOVLEHAr6/pNhxl3QJ9Jndq17ox3927K5t2Oe906AMzHHEPWffeiy8zs3I61E7IsM39xIQ9+vQ2AM0Zn8+i5o45Y8NCZ2D1+/u/11azcXYtBq+aFS8ZxwtD0zu5WTAQlmc2lDfy6q4Zfd9Wwek8tLl/zUgfpVgNT8lOYMiCFqfmp5CUbDyiQERcECu0ZB7/kZ1XZKhbuW8gP+36g1lMb3mbWmTku9zhmD5zNpKxJqFVt85BQ8njw7tyFd/t2RRi2ZRPeLZsIOn1tcvwuhUYTFoeFhWImEypzSzGZYdBAzNOmoU1OPqKvXLarhitfW4nHLzFjaDrPXzK21Tlx0ZYKrv3fGoKSzBVT+/Gv3w/vsaJiQefhsvlCTgiKI0LZPjt1ZU7UB7giMSXoW5bKyTSj0anFuNGEjo5F5ZNPUfPii5iPOYY+L7/Ubt/jD/pZVbFKKRW5+1sqffXhbYloeCh5ItNSR4M1E6xZytySCXpTzN8RqKuj4oEHsX3+OQD6fv3IeuB+TGPHtvXPEQiOCFmWcdb7aKhSxGH1lS4aqtw0hMRigQOU4wVQh5zDEtIbS0r2DnHYvhoXn6wr4ZPfSiisdgIgeV0UPXVerx87xBgqEHQ+siwr58YlDmqKncr5cYmD2jInUiD6ybElyUBKbqTEekqOhcQMU4/N410BkS8jiFgIBAJBbIh8qSDiIBAIBLEhBGDdiLb8YzV4G1hWuozFxYv5peQX6rx1zbYPTxkeFoONTBmJRt1FBTH2cljyOKx+FRpLuww6GU74B2SP6dSudVfkYJDa116n6umnkX0+1FYrGbffTsLsM3vsg/uPfyvmlgUbCEgyU/NTeOHSccTHdb+3IGscXi5/dSWbSmxYDVr+e8UEJvY/MjFIZ+ILSGwormdZSBC2Zl8dvkDzB1E5icawIGxKfgrZicbwNnFBoNBRcQhKQdZWrmXR3kUs2reISldleFuOJYezB53NmflnkmHOaPPvlmWZwJ4teD9+BO+qH2k0JVOpAbUalSUNVUIWJGSjSsoFUxIqrQY0GlQaLSqNGjRaZZ1arazTakCtaT7XaFCFJsL7aVBptcp+ajWy14vkcjWfnC4ktzu07Ayvlxu3NbYLtZE9ntYFQqUibuRILNOnY55+DMZRo1pVQu3XndVc9foqPH6Jk4al85+Lx6HXHt4DgBWFNVz2ykq8AYmzj87hsXNH9wiHRUH3QApKfLeyhP99uxO5zkdaUE2uWovRF/0yRaVWkZhuJC4F5vx1Sq8fN6Bjx1A5EGDnCTMIVFWR89RTxJ/yu3b9vkYkWWJL2Sp+WHIv39p3sk+nQyXLXFtv44/1DTTLnnEJEUHYgeaWDNBGnC/tP/xI+V13EaisBJWKpEsuIf3Gv6E2xS4mEwg6i7A4LCQKO1xxWEK6kaQsM8lZZpKyTCRlmknKMKHVd9H7CoeJLMusL27gk99K+HhFARseOKvXjx3i2ksg6LoEgxINFW5qShzhEuvVJQ4ctd6o7dVaFUmZZlKbvjSRa8EU37EO1T0VkS8jiFgIBAJBbIh8qSDiIBAIBLEhBGDdiPYa3CRZYnP1ZhaXLGZJ8RI212xutj3JkMS0nGlcMPQCRqeNbrPvbVPq98HiR+G3t0AOOQYNOwNOuB3Sh3Vu37op3l27KJ13O54NGwCwHH88mXffjS6je7hJHS5LCqr445trcPqCDM208vpVE8mI7z7lesoa3Fzy8gp2VTlJMet5/aqJjMxJ6OxutSkef5C1++pYHhKErSuqJyA1H3L6pZiYkp/KlPwURqbqyM9N7/UXBJ1xYSTJEhurN/L5rs/5svDLcLkttUrNMTnHMGfQHKbnTm+f0sP1RbDhPSheBUUrwV3bso01C3InKFPeRMgaDTpjy3adhBwMKmIwZ0QwJjcRiDUTjblcSHYbrrW/4d22rdlx1AkJWKZNxTz9WCzHTEOblhZzH5burOaq11bhDUjMHJ7BcxeNjVkEtqmkgQvnL8fuDXDSsHSev2QcOvEGuaAT8AaCvPLLHp79oQCXL4geuGhIFrPyUnFXe0Llchx4XUr5YbfPyS2vntHrxw3o2LHD/uOPFF/3JzRJSQz6+SdU+gOX6WwvvLt/4ZH1z/B+w1YApsgGHrIHSG4oj7gNx4IppYkwLJOgJoWKz7bSsHgTALrsLLLuuw/z1Knt8TMEgg5BlmScDfuJw0IlJQ8qDlNBfEqcIgrLNJMUEoclZ5rRG7Ud+yPakJq6elKTk3r92CEexggE3Q+vy09NqTPkpuukpthOTakTvycYtX2cRdeijGRythldDxH3dhQiX0YQsRAIBILYEPlSQcRBIBAIYkMIwDqZc889lwULFsTUtqMGt2p3Nb+U/MKS4iX8Wvpr+ME9wJn5Z3LjuBtJMaa02/cfETW74KeHYOMCQAZUcNS5cPxtkJLf2b3rdsiBADWvvEr1s88i+/2oExLI/Oc/iD/99B751t+mkgaufG0VVXYvOYlGXr9qAgPTrZ3drUOyu9rJJS+voKTeTXZCHG/+YRL5aZbO7la74/QGWL23jmW7ali2q5qNJQ001YOJciwKnX1h5A64Wbh3IR/u+JC1lWvD61ONqZyZfyZnDTqLvvF92+fLZRlqCxUxWONUvikiFG5ErYXMURFBWO54SOwL3SzP+Ssqcf7yC44lS3D++iuSzdZsu2HYMCzTp2OZfgzGMWNQ6Q4uwFu8o4o/vLEaX0DidyMy+PdFYyNCrmAANrwLzmoYejqkDgSgsMrBuS8so8bpY2L/ZN64aiJxOvFAQNC5lDW4eeCrbXy+vhSARJOOm08ewoUT+6BWgbNeKZWzd0cZx805qtePG9CxY0fRn6/H8f33JF9xBRm3zW3X7zoUn+/6nHuX34s74CbdlM7jxz7GmIQBiuuwvezg8+CBSxE7ygyUrUog4FJELolDJdJnpKFJzYHUQTDuyt5xrVK0ErZ8CuZUyDgKMkYoYrluNt4KDowsyTjqvdSVO6krc1Fb5qSu3EltmROvM3DA/cyJBpIbncKyzMrnLDNGS8cLQg+Xzj7X7iqIOAgEPQNZlrHXRF6UqClxUlPioL7CRdQ7/ipITDeRkq24hDU6hsWnGFEJB+ioiHwZQcRCIBAIYkPkSwURB4FAIIgNIQDrRBYtWsS1117Lrl27YmrfGYObX/KzrnIdn+z8hM92fQaAVWflz0f/mfOHnI9W3UXf1K3cCj8+AFuVPqPSwNEXw7G3QmJe5/atG+LZsYOyebfj2ay4w1lOOpGsu+5Cm5rayT1re4pqXVz+ykoKq50kGHW8fPl4JvTrumUUt5TauOyVlVQ7vAxINfPmHyaRk9h1nIw6EpvHz8rCWpYVKg5hm/eUCwEYXevCaHfDbj7e+TGf7vyUWk/EmWtC5gTOHnQ2J/U5iThtOzvv+ZxQug6KV0LxauVhtLOyZTtzesglbLwiCss+GvTm9u1bGyIHArg3bFDEYIuXhPN3I2qLBfOUKZiPnY5l+nR0mZlRj/PzjiquDonATh2ZyTMXHo2udid8ch2UrI40zBpNQ/4ZXLkql7UNVkbmxPP21ZO7ZTldQc9leWENd322mW3ldgBGZMdz9xkjGB8a57tSvuxsOioW/spKdp4wA4JBBnzxOYaBA9vtu2JlZ91ObvzpRvbY9qBVablx3I1cOvzSg7/8IMvgrguJwfYXiCmfgzVlVP7ion6nUgJSawqQNaEBS5YXUMHwM2DaDZAzrmN+aEchSVDwLSx9GvYta7ndlKIIwTJGhqYRkDYUdN3HiVdwaGRZxm33UxcWhLnCwjBXw4HFk3EWXcgxTBGEJYcEYubErlOGTIwdCiIOAkHPJuALUlvmDAvCGie33R+1vdagUURhIaew1FwzydkW4szi+lDkywgiFgKBQBAbIl8qiDgIBAJBbAgB2CFYu3YtV199NWvWrGm2vrCwkA8++IABAwZQWFjINddcQ2JiYszHra+vZ/Xq1Tz88MMsXLgwpn06e3BbV7mOB1Y8wNZapTTK4KTB/GPSPxibMbbD+xIzpb8pQrCC75RljR7GXQHTb1LeNhfEjOz3U/Pyy1T953nw+9EkJpJ55x3En3ZaZ3etzal1+vi/11fx2756DFo1T19wNKeM7Hr/XlbvqeXK11Zh9wQYnhXPG/83kVSLobO71WXYU1ZN/+y0Xn9B0NljRzT8QT8/F//MhwUfsrRkKTLKqYNVb+X0AaczZ9AchiQP6ZjOyLJSRrjRIaxoJZRvAGk/lwqVRnkoHXYJmwDJA7qNa0mgpgbn0qU4Fi/B+csvBOvrm203DBqEefp0LMdOxzh2LOomJdh+3F7JtW+sIRAM8GjuUs6ufxVVwAOGBMgZC7sXN3NV26QeSr/jL8Ny9DlgzeionygQxEQgKPG/5Xt5YuEObB7l//Ozj87htlOHEoevy+XLzqLDnIdfeomqx5/AOGYM/d59p92+53Bx+p3c9etdfLPnGwBm9p3JPVPvwaI/QodVScK5+DvK7nkQf6kiPk4Yk0TmwM2E36vpNx2m/hUGzew2Y0xUAl7Y8D78+gxU71DWqXUw4ixlzKjYDNUFLV05QRlzUwe1FIbFZ3fvmAii4nX5qSsPuYWVRcRh9hrPAffRx2mUEpKNwrBQWUlrShzqDnac6Yrn2p2BiINA0Dtx2XyhEpIOaoodVJc4qCtzEQxELwdsSTKEXcIaxWGJmSY0jU7TvQCRLyOIWAgEAkFsiHypIOIgEAgEsSEEYAehUeA1btw49v9Z48aNC4vCCgsLmTt3bsylHBuPfc455zBz5sxuIwADCEpBPtjxAc/89gw2n1Ja6vcDfs/fx/+dVGMXdoPatwJ+uBf2LFGWtUaYeDUccyOYuq67U1fEs20bpbfNw7ttGwDWU04h88470Cb3rDi6fUH+8s5vLNpagUoF95wxgkun9OvsboX5eUcV1765Go9fYkK/JF6+fAIJRvEmZVO6Qs7sCnT1OJQ7y/l458d8XPAxZc6y8PoRKSM4e9DZnNb/tCN/4H64+N1Qtj4iCCtepTi57I8xOSQIm6DMc8aBoeuXjZWDQTybN4fdwdwbNtC0nofKZMI8eTKW6cdgnn4s+twclq1aifbz65mg3g6AlH8i6jOehYQcHHUVvP7fZzi64Qcma7aiDgn6UKmh7zQYOQeGnynGW0GXotrh5dFvtvP+miJkGSwGLddMzuSG08Z02XzZkXTE2CHLMoWnnIpv716y7r+PxDlz2uV7Wossy7yz7R0eXf0oASlA3/i+PH7c420iUJZcLiqfeoq6N/8Hsoxx5BByZ6eiLfw4IkBOH64IwUbOAW3XL4MXxtMAq1+F5c+Do1xZZ4iH8VfBpD9CfFakrd8DVdsUMVjFJmUq3wTu2ujHNiY1F4Rljgy5hfVO99uejt8bpL6iqTDMSV25i4YqN7IU/baTRqcmMd1EUpaJpIzGkpImEtNNaPXtU5K6q59rdxQiDgKBoBEpKFFf6W5eRrLYgb02urBXrVGRlGmOiMJyLaRkW7qU22NbIvJlhMZYbFu7l35DszEYu2ilEYFAIOhkxNihIOIgEAgEsSEEYDGgUqmaCcAKCws599xzm7mCJSUlUVdXByjirsLCwhbHOeeccxgwYABr165lwIABJCYmdjsBWCN1njqeXvs0HxV8hIyMRWfhT2P+xIVDL+y6ZSEBCn9WhGDFq5RlvRWm/Amm/BniEjq3b90I2eej+oUXqX7xRQgG0SQnk/mvfxH/u5M7u2ttSiAocednm3l7xT4A/nR8Prf8bkin34D6amMZN7z7G/6gzHGD03jhknEY2+mBRnemK+XMzqS7xCEoBVlRtoIPCz7kh6IfCIQegBu1Rk7uezJzBs9hTNqYzvv/r6E4JAgLOYWVrYPgfiWLVGrlQf2MOyCpb6d0szUE6upw/vorziW/4PjlF4LV1c2267OSMCeUY8lwIKWqeIBLcI24mCfOH0NAkrny1VUsK6wh2aznw0v6079iEWz6UCmz2YhaCwNOUOIzdBbEdd1/i4Lexbqiev716SbWFzcgeV2idHCIjhg7XKtWsffSy1CbTAxashi1uWuW2d1QtYGbfr6Jcmc5Bo2Bf07+J7MHzm6TYzuXr6D4r39FstnQ9+9P3hP3oi/6GFa/Bj6lVCnxOTD5Ohh7edfOnQ0lsOL55n23ZivXWofTd1lWymZWbIaKjcq8fJPiIhbVLUwNKQMjorCMkYowLD6n893CpKDihKYzdn5fehBBv0R9pSviGlauCMTqKlxIgQPcjlJBfEociRkh17DMkDgs04TRemQCy+5yrt3eiDgIBIJD4XUHqG0qCitRHMP8nijjO2Awa0nNsZCcYyE15BaWnG1GZ+je979EvozQGItHr/wMo96MJdkQ/luHHeIyjKh7kUOcQCAQREOMHQoiDgKBQBAbQgAWA/sLwObPn8+CBQuaCbfy8/NZsGABY8ceuhzi2rVrwwKxuXPnMnfuXK655ppD7tcVB7eNVRu5f8X9bK7ZDMCgpEHcPvF2xmeO7+SeHQRZVkpC/nAvlG9U1sUlwrQbYNK1oO+aD5+6Iu7Nmym7bR7eggIA4mfNIuOf/0CblNTJPWs7ZFnm3z/s5PGFSumas8fm8PCcUeg66ebDe6v2Me+jjUgyzBqVxZPnjUGvFTdCotEVc2Zn0B3jUOup5fNdn/NRwUcUNkQE1f0T+jNn0BxOH3A6KcaUTuwhygPd8o0Rh7Di1dCgiEXRGGDyH+GYv4MxsVO7ebjIkoR32zYcS37B8eNC3Os3QZMzO1mvZ03SAFalDyHx+GMpt6Tx3dZKzHoN71wzmVG5iZHGdXth88eKGKx8Q2S9xqCUNhs5BwafAnpTh/0+gSAakiTzwZpiHvhkDesfOKtb5cv2oiPGjtK5c2n49DMSzz2HrHvvbZfvaCvqPfXc9sttLC1ZCsCcQXO4beJtxGnjjvjY3oIC9l1zLYGyMjRpqfSZP5+4flmwptFFq0JpaEiACSEXra5Uyr5iC/z6LGxcAJJfWZc2DKb9FUae03buZQEvVG0POYVtVsbgik3gqonePi6xiSgsJAzTmyHoVY4V8ITmTT97FHF30+XAfstR9z/Avo1ubimDYPZ/lBLSgnZDkmTsNW7qyhRxWF25Mzz3ugIH3C/OrAuLwhIzzWFxWKzlJLvjuXZ7IOIgEAhagyzL2Gs81JQ6m5WSrK9wEfUJgwoSUo0hlzBz2C0sIc2IqoNLALcWkS8jNMbi+Ru/JeiK/kK5RqsmKcsUFoQpokAzpvie6RAnEAgE0RBjh4KIg0AgEMSGEIDFwP4CsEceeYSFCxe2EIC9+OKLnHTSSTEfd9GiRVx77bUHFIB5vV68Xm942WazkZeX1+UGt6AU5KOdH/H02qdp8DYAMGvALG4adxNpprRO7t1BkCTY9jn8+IBSegTAnAbTb4JxV4LuyB/o9AYkn4/q5/5DzUsvgSShSU0l6567sc6Y0aSRBPZSqNsDtbuVeeNkL4d+02DynyB7TKf8hlh4f3UR8z7aSFCSmT4olecvGYfF0LFudy8tLuT+r7YCcOHEPO6bfRSabnKDqzPorRcE3WXsiAVZlllftZ4PCz7k2z3f4g64AdCqtZyQdwJzBs1hctZkNOou8gZw6TpYeAfsXqwsG5Ph+NuUsleablSiVZZh7evw7T8IOpw4q+Nxqibh2FZFoKKiWdPNyf24/5iree7aY5maf5BS0NUFsOkj2PSB4uLSiM4MQ05VxGADTwStoZ1+lEBwaIoqauiTmdot8+WR0tFjR9Bmo2D6scheL/3eexfj6NFt/h1tjSRLzN8wn/+s+w8yMkOTh/LEcU+QF593xMf2V1RQdPU1eHfsQG02k/vsM5inTlWERBveh1+fieROjR5Gna+Uh0wbfMTf3SpkGfYuhaXPQMG3kfV9j1Feqhk0s2Mcr2RZEciFRWGhefX2iPiqq6DSwHG3wvSbQdOFHbN7ILIs47b7qa9wUlvmor7cRV2Fk7oy1wHLkUGTcpKZJhIzTSRnmknMVEpLNi0nKa45FLrzNYdAIOh6BPxB6spcYZew2hIH1SVO3DZf1PZavZrkbEu4jGSji1Scpetdh/fWcQMOPnboNUZqSxV3uOoSRQhYW+rE743uEGe06hRRWLaFlFzl756cZW63ks8CgUDQmfTWsUNccwgEAkHrEAKwGIhVAPbwww9zzjnntNn33nXXXdx9990t1nfVwa3eU88zvz3DBzs+QEbGrDNz3ejruGjYRejUXe+CO4wUhI0fwE8PQt1uZZ01G8ZcqJTrUGuVG/ZqbWhSN/ncuK3p9v2Ww/vuP9cqJUuaHkutUR5+60zdrkyIe80KSm//J769xQAkjMsh43grGk8R1O9tWSotGn2PUcpxDj5FiXMX48ftlfzpf2tx+4OMzInnlSsmkG5tf6GgLMs8/t0O/v3jTgCuPW4At50yVLzpdgh664VRdxs7YsXhc/D1nq/5aMdHbKrZFF6fZc7irIFnMXvgbLIsWZ3YwxCNLpPf3aE8gAZIzoeZd8PQ07t+bm8ogc/+Aru+V5b7TIEzn4OUfGRZxltQgHPJEvZ+/T3azRvQyUE8I0Yz+u3XURtiEG/JsvJwftOHylS/N7LNkADDfg8jz4b+x4kH5IIOp7eOG9DxY0fdO+9Qfvc9GAYNov9nn3arc5plpcuYu3gudd46rDor9x5zLyf2OfGIjxu02ym+/i+4VqwArZbsB+4n4YwzlI2SBDu+gaVPQ9HyyE5DZimCqz6Tjvj7Y0IKwrYvlH6UrAmtVMHwM2DqDZA77qC7y7KMf98+ZL8ftckUnlT6NnIJayTgU8bgsFPYZqjcqlyPaA2hKU6Za/ZbbvY5ThHcNV3WNi7HIWv0yAEVQZ+M5AkieQNI3iBBtx/J40dyeQk6HOgqF2PhF7QGCXInwtnzIbl/2/5mQavw+4LUVzRxCytzUV/hpL7CTTAgRd9JBdbkuLBTmM4aZPKpw3rd2NFTrzkEAkHXxmXzhV3CGl3DasucBP3Rc7Y5QR92CUvJVURhSZkmNJ3opC+uOWIfO2RJxlbjCZUNjZQPra90NXMqb0SlgoR0xS0sNddMcraF1FwL1uS4buMQJxAIBNHorWOHuOYQCASC1iEEYDEQrQTkiy++yJo1a8LrkpKSWLBgwWE5gB2K7qpu3ly9mftX3M/GaqW8Yn5CPv+Y/A8mZE7o5J4dgqAf1r0FPz8CtpLO7YtGD8YkxT3GmASmZKWMWLPl/bcnKYK19kKSwFHe3L2rqZuXsxIpCNUbrdRst4CsQmsMkjmhHmu2VxG4JfaBpH5Npv5gsMC6t5UyYY1v6icPUBzBxlzULiU5ZUnCX1qK7POhjotDZTSiNhpRGQyHfAC5vqieq15bRY3TR16ykdevnMiANEub97ERSZL512ebeXO5IpK49ZQh/On4ge32fT2J3nph1F3HjsNhe+12Pir4iM8LP8fuswOgQsXUnKnMGTSH43OPR9fZjlvBAPz2huIy6axS1vWZCiffd8gH5J2CLMP6d+Dr28DboDwQP/FOmHydIk6Owrala5H+eg0qpxPrKaeQ88TjqA5HvCvLULJWEYJt/gjsZZFtplQYfqbiDNZnSpcUBQt6Hr113ICOHzt2nz0Hz5YtZMy7jeTLL2/z47c35c5ybvn5FtZVrQPgihFX8Nexfz3il14kn4+y2+Zh++orANJvvonk//u/5uen+1YojmDbviT85CtvslJycfCp7ZMv/W7lfH3Zv6E2VJpZGwdjLlZe3kjJP+QhgvX1lN35L+zffddyo1YbEYQZjRFhmMnYZL2piWisSRujEbXJ3GK92mg8oLBMlmVkrxfJ4SBotyM5nEjOJp8dDiSHnaDDoSzb7QSdkc+Sw0HQqbQjGN2VogVqNeZMH/G5dqwDtGhmPwqjL+j6wvBeSricZHmknGR9uYvacideZ3N3ObfPyS2vntHrxo7ecM0hEAi6B5Ik01DpoqbE2UwoZKuO7vKoVqtIzGwsKWgOlxa0JB36nmBbIK45jnzs8PuC1JU5qS6OiMJqih14nP6o7XVxGqVkaOhvnZKjCAINRvHSmUAg6B701rFDXHMIBAJB6xACsBjYXwBWWFjIueee20IAtnv3bhITE9utH91pkJdkiY8LPuaptU9R760H4NR+p3LT+JvIMGd0bucOhd8D699W3haXgqEpAHJoLgWar29cbrY9oAimmi7L0iG2x/jw4GBojfsJxJpMBxKNGZOVN9lBebhTt1dxQttf5FW/FwIHLpEBQFwiJPfHZU+h7NMifJWKMCNh1slk3HEXmsSkA+/bUAIr58OaV8HTEDpeglKOc+I1kJDTqpBILhfeggI827bj2bYV77bteLdvR3K5WjZWqZSHSHFxijDMZEQdZ2z+2RiHQ6Xjm531VPlUqE1G5kzJJy87WXkwZYxDFRenPLwyGpt/NhpR6XQx31DyByVuWbCeT9aVolLBvWeO5JLJfVsVh95Id8qZ7UlPjoMn4OH7fd/zUcFHrCxfGV6fHJfM9Udfz5xBc1CrOlk45LUrTim//htCJSwZeY4irkrqIv8/2yvg8xtgx9fKcs44mP1CTKXFnMuXs+/qa8DvJ+nSS8m4fV7rbppLEuxbpojBtnwCrprINms2jDhLEYPljD2yh+WSBD6H8ncJT7bI5/A2235tQpNKBUdfCuOuEOUqeyA9OV8eLu0ZC8+WLew+ew4qnY6Bi39Gm3SQ88MujF/y89Sap3hjyxsAjE0fy6PHPUq6Kf2IjitLEpWPPkbtq68CkHTJJWTMuw2VZj8xbtUOWPYsrH834rSbMkgRgo06v21ylKsWVr0MK14EV7WyzpgEE65Wzs8taTEdxrl8OaVzb1PKCGs0aCwWJLcb2ReDQ/CRoNNFRGVGI7Lfr4i3HA4ItGGJSLUatdWKxmxGbbGgtlpRW8xozBbUZjPuzZvwbtnapL2MJdNL/JQRWP72Apq03Lbri6BdkWUZj8MfFoXVlbso2V3BBXOn9/qxQ4yhAoGgq+HzBKgtVURCtY2lJEudeF3RzwEMJm2opKA57BaWnG1GH9e2IiGRLyO0ZSxkWVYc4oodYTFgdYmDunInUiD64yprclzobx0qHZprISHdhFq4hQkEgi6GGDsURBwEAoEgNoQALAZUKhV1dXXNxF3jxo0LC8AKCwu59tprm5WEbA+64+DW4G3g2d+e5f3t7yMjY9Ka+OPoP3LJsEs6352lqyHLikjM7wZ3XWiqVeau2ibrmi43WS8dwUMMnVlxD2t8sHMgVBpIzGvp4pXUTxEyGCMP8CSPh6qnnqb29ddBltFmZpJ1331Yjpl28O/wOhQXmuX/iTgMqLXKw//Jf1Ie/kdBlmUCFRV4tm3Du207nu3b8G7dhm/vXiW2+/8UvR6V0YjcEQ+fmqLRoElOwpA/EMPAgRgG5mPIz0c/cGCzB6Aef5Dr317Loq2VaNUqHj9vNGeOaZ0IrrfSHXNme9Bb4rDPto+Pd37MJzs/odqt5LKj04/mzsl3MjCpC7jmNZTAD/cp+Q1ZcXqc9EeYfpPi8NgZyLIiuPrqZmUc0ejh+Hkw9a+HVX6x4csvKb3pZgDSb7mFlP+76sj6FQzA7p9h00ew9XPFkayRxL6KEKz/sRDwhgRb0cRa+68LCbtCjnFHTEIeHHcrjL5IlKrsQfSWfBkL7RmL8nvupe7tt7Geegq5Tz7ZpsfuDBbuXcgdS+/A6XeSHJfMo8c+ysSsiUd83NrXX6fioYdBlrHOnEn2o4+gjotSetxergi0Vv03ki8tGcoYM/6q1o0xdXuVc/G1b4A/9NJEQh+Yej0cfUnMDr2yz0fl009T+8qrIMvo+/Uj+7HHMI4coWz3+5HcbmVyupBcLmS3Mlcmd+Rzk/Vys/XuJutDc39094cWqFSKYMtiQWMxo7ZYQ8tmNE0/W62ozaF2Vkt4H2U/i/KSxyHEyd7du7F9/TX2r77Gu3NnpAsasEw6mvhzLsFy/PGoTabY+i7oMoixQ0HEQSAQdAdkWcZR521WTrCmxEF9uQtJiv5IIz41rrlzVI75iERCIl9G6IhYBIMS9RWuZn/vmmIHjjpv1PYanbq5W1iuhdQcC3EW8RxDIBB0HmLsUGiMQ31dPQmJCZ3dHYFAIOiyCAHYQVi0aBELFy7kkUce4dZbb2XChAmcc845gCL6evHFF5kwYQKrVq1i3rx57er+Bd17kN9Ss4X7V9zPhqoNAPRP6M/tk25nctbkTu5Z5yDLMjafjRp3DVXuKqrd1eFJhYoZfWYwOm107C4qsqw82I5VMNa47KlXRGdNMSRAcr/oIq+EXDhM4Z5rzRpK592Of98+ABLPO4/0W29FYznEgyMpCDu+hWXPwd5fIuv7TkMedw1e7SA82wvwbtuGZ/t2vNu2Eayvj3ooTVoqcUOGEjd0CIYhQ4kbNhR9v36otMpDezkYRHJ7kD1uJI9HeXDk8SC5PUju/T67PUgeN7Lbjdfh4tfNJdTV2ogL+hierCddJyvH8LiVh1MeD5LHAzE8iNKkpGDIz0fVrz/vV2n52WelIimLh/7vWGYMy4wp3oII3TlntiW9LQ5+yc97297jmd+ewR1wo1VpuXLklVwz6hritFEenHc0Zevhu3/C7sXKsjEZjr9NcTvURi9V1S44q+GLG2HrZ8py5ig460XIGN6qw9W8+hqVDz8MQPajj5Dw+9+3TT8DXtj5vVIicttX4He2zXHVWjDEK2WIDfFgsEaZ4kFvab6uthCWPB4pV5mcDyfcDiPOFmUqewC9LV8ejPaKheTxUDD9WCS7nbz/voxl2iFeDOgm7LXt5e8//Z0ddTtQq9RcP+Z6/u+o/ztiF0rb119TeutcZL8f47hx5D33bzQHuub02mHN64pwq7Gcvd6iOBZO/lNsbrpl62HpM0pp9kZ34sxRMO0GGD77sASv3sJCSm6+Oex8lXjeeWTcNrdDBE5hYVkzIZkTtV4fcegyW1CbjIdXuriN8BYUYHvvFWxffIqvPnL7RGWMw3L88cSfeiqWY4+NLvgTdDnE2KEg4iAQCLozQb9EXYWzhXuUqyH6C6NanZrkbDPJOYo4qNFBymg99DW9yJcROjMWHqef2lIH1cXNS4cGfFLU9uZEQ8glLCIOS8w0odGI+wACgaD9EWOHQmMcnvrjl+T2z2hWyjklx4zBJMS6AoFAAEIA1q3o7oO8JEt8uvNTnlr7FLWeWgBO7nsyt0y4hUxzzxC3+IN+ajw1VLkUUVeVu4oad02Lz9XuanzSwV2nciw5nNb/NE4fcDoDEge0T4clSXEKcNUqb/fH5yguXkdSXiva17hcVD75FHVvvgmALjubrPvvwzxlyiH3DdTV4V36JZ4f3sa7ZQueei1emxakKH3UaDAM6I9h6LCI2GvoELSpqW36e5riD0r84+ONvL+6GIAbThzE304a1EK8J/v9IXGZm0BFOd6du/Du3Il31058O3fhLyk54HdoEhPRD8xv5hqmz89Hm5bWulJrvYTunjPbit4ah3JnOfevuJ+fin4CoI+1D/+c/E+mZB8677Q7sgwF38F3d0D1dmVdcj7MvBuGnt7mObgFWz5TxF+uakUIdewtihPZETpzVjz4kOL6qNPR58UXME+d2kYdDuFzQcG3imtZ1faQOOswBVyNbbWG1sfZ71acdn55IlKqMn04nPAPGDqr/f9+gnajt+bLaLRXLBo++4zSW+eiy84mf9HCThHftBfugJv7l9/Pp7s+BeDY3GN54JgHSDAc2VupzpUrKf7z9Uh2O/r8fPq8NB9ddvaBdwj4FNHs0qehcouyTq2Fo85VHB73F/rKMhT+qAi/Cn+MrM+fobQfcPxh5TVZlql/7z0qHnoY2eNBk5hI1v33YT3xxNh/dC9B9tjxvvYXbN8uwrbPiN8ZEdipzWYsJ85QxGDTpqHSd6BIXHBYiLFDQcRBIBD0RNwOnyIIK3ZQU6o4R9WWOgn4o4uETPH6yMPoXAsp2RaSskxodZFS3iJfRuhqsZAkGVuVOywAVASBDmzVnqjt1VoVSZlmUkMlQ1NDf3dTvDhvEwgEbUtXy5edRWMcHr3yM4xRnMktyYZmgrCUHAuJGUKsKxAIeh9CANaN6CmDfIO3gefWPcd7299DkiWMWiPXjLqGy4df3iXLQja6dTV16WqcGt27Gp28GpqWqYqBeH08qcZU0oxppBhTSDWmUuep4/t93+MKuMLthiUPY9aAWZza/1TSTelt/RM7DOeKlZT94x/4ixWxVNJFF5J+002ozWbkYBDf3r2Ko1eTEo6Bysqox1LrJOIS/RhS1cQdPQXD767CMGYqaoOhI38SoPwbeXLhDp75QSnncv74PO4/ayTawzixlFwuSjZs5fnXFmEo2Uu+q4qxcj2qspKoJSwB1AkJGPKVEpKKKGwghkED0aanC2EYPSdnHim9PQ7f7/2eB1Y+QKVLySWnDzidWybcQnJccif3DKXU4W9vwI8PgLNKWddnCpx8P+SOa/vvc9XC17fCxgXKcvoImP0fyB7TJoeXJYnSm2/G9tXXqM1m+v7vTeKGDWuTY3dJvHZY/gL8+myk7Fr2WJjxT0U4IfJwt6O358umtFcs9l52Oa6VK0n9y/Wk/fnPbXbcrsTHBR9z/4r78Qa9ZJuzeeL4JxiROuKIjunZsYOiq68hUFGBNj2dvPkvEjd06MF3kmXYuUgRgu1ZElk/6GTF0StvMmz5BJY+BeUblW0qDYw8WxF+ZY067H4Gamsp+8c/cfyoCMnMU6eS9eCD6DK67/VLh7D1c+RP/4KnxIGt2IqtMo1ATaRksTo+HutJJxF/6qmYJ09Cpet618y9GTF2KIg4CASC3kJTkVBjWcHqEge2KnfU9iq1isQMU/hBtCFBZtS0ASJf0n3GDp87QE1ppHxko0DM7wlGbW+06sKisJTQPDnTjEYnBAgCgaB1dJd82d40xmH3thJ8NnVMpX3DYt2mwrCQWFc8QxMIBD0VIQDrRvS0QX5b7TYeWPEAv1X+BkC/+H7MmziPqTlt7BhyENwBN5WuSiqcFVS4lKlxuanAyy8dunxfI1q1toWoK82YRqoxlRRjSvhzqjEVvSb6G0HugJufin7iy8IvWVqylIAcAECFiolZE5nVfxYn9T0Jq97aFmHoUCSnk8rHH6fu7XcAxQ1Mk5qKd8cOZE/0N6p0ffoQN3QohqFDiBs6lLgBfdBW/IBqxQtQu0tppNLAiLNgyp8gpx2EEzHw1oq93PHJJiQZZgxN598XHY1JH1upnD3VTi5+eQUl9W6yEuJ48/8mMTDdguR249u9G++uXYpr2K6d+Ap24isqUhzcoqC2WDDk50dcwwYNxJCfjzYrq1ed1Pa0nNlaRBzA4XPw7G/P8s62d5CRSTAkcNO4m5g9cHbX+H/Ca1ce0P/6bwiEbhqPnAMn/guS+h50V5ffxff7vicgBegT34c8ax5pxijugNu/gc//Co4KUKnhmBvhuLmKE1YbIvl8FF19Da4VK9CkpdLvnXfR58ZQdqw7465TRGDLX4iUqOwzFU68A/p23DmN4MgR+TJCe8TCt2cPu045FVQqBv7wPbqsrDY5bldkW+02/v7T3ymyF6FT65g7YS7nDTnviMYcf3k5RVdfg7egALXZTO5z/8Y8eXJsO5esURy+tn4WKf9uiAevTfmsM8HYy5Xz6MQ+reqfY8kSSm+/nWBVNSqdjrSb/k7yZZf1KJe3dsVWBp/8EQp/QpbBbToWm3sM9u9/JlBVFW6mSUzEevLJxJ92KqYJE1BpNAc5qKAjEGOHgoiDQCDo7fg8AWrLGt3CnGGhkNcVaNbO7XNyy6tniHxJ9x47ZFnGXuOhutjRTAxYX+mCKE/H1GoViZmmZq40qbkWzImGrnFfSiAQdGm6c75sSw4WB6W0b/OyvjUlTvze6GLdOItuvxKSFpKzzej04hpbIBB0f4QArBvREwd5WZb5vPBzHl/9eLgs5El9TuLWCbeSZWn9QyFZlmnwNjQTdVW6KsPLFU5lnc1ni/mY8fr4qEKuFGMKaaY0UuNSSTOlEa+Pb9MLtzpPHd/t+Y4vd38ZFssB6NV6jss7jlkDZjE9Z/oBxWRdFeeyZZT+4x8ESsvC61RGI4bBg4gb0ij2GoZh8GA0lpZ2roAigCr4FpY919zZoM8UmPJnGHIaqDv2hO27zeX85Z3f8AYkRucl8srl40mxHFxgsbXMxqX/XUm1w0v/VDNv/t9EcpNMB91H8nrx7dmDd+dOfLt24S3YiXfXLnx790Iw+kmtJi2VjJtvJv6MM3rFzYWemDNbg4hDhI1VG7l72d1sr1PKLo7PGM+dU+6kf0L/Tu5ZiIYS+OE+WP8OIINGD5P+qJRnNCY2a1rpquSdbe/w/vb3W4xlcZo4cq255FnzyDOm02ffavL2LCPPHyArsT/a2S+2j8NYiKDdzt6LL8G7Ywf6/v3p+/ZbaJOS2u37ugyOKqUs5Kr/QjD01ln+iYojWM7Yzu2bICZEvozQHrGofPwJal56CfOx0+kzf36bHLMrY/PZuOOXO/ih6AcAZg2YxZ2T78SkO/g53sEI2mwU//l6XKtWgU5H9oMPknD6rNgPULNLOW9e9xYEPGBOg0nXwvj/A1PrnDElr1d5ueMNpdS7fmA+OY89dmiHMkFLJAlWPA+L7oKgD8zpyL9/DpctEdvXX2P/9juCtbXh5prUVOJDYjDj2LFCbNdJiLFDQcRBIBAIWiLLMs56X7OH0UW7Kvi/B04U+ZKeOXb4vcGwAKFpGcn9hYCNGEzaFuXKkrPN6ONie6FYIBD0DnpivmwNhxsHWZKx1ypi3dpSB9XFSn5uqHRFL7qjgoQ0Y7ikb0q2hZRcM/EpRlTqnv88TSAQ9ByEAKwb0ZMHeZvPxvPrnuedbe8QlIPEaeKUspAjLm8hbApIAWrcNRG3rv1EXY3rvcHolp/7Y9QayTBlkGHOUOamDNJN6aSZ0mJy6+pIiu3FfL37a74o/ILChsLw+nh9PDP7zmTWgFmMyxiHWtU9bv4HHQ7s33yD2mzGMGQo+r59Wv8We9l6WPYf2PQhNDq2JfWDSdfB0ReDoePc0tbsreP/Xl9FvctP/1Qzr185kT4p0R/2rdlbx5WvrsTmCTA8K57Xr5pImrX1jjyyz6eU0mwqCtu1E++eveBX4mKeOoXMu+5C36d1Dg/dhZ6cMw8HEYfmBKQA/9vyP/6z/j+4A250ah1/OOoP/OGoP3SJPA8o+ey7f8LuxcqyMQmOuw3GX8V2227e2PIGX+3+ioCk3EDMs+aRa8lln30fZc4ypEZ3lyhoVRqyLNmKOKzJ1Mfah1xrLnHauDb5Cf6KCvZccCGBsjKMY8bQ59VXUBuNbXLsLk9DCSx+BH77H4T+Rgw9HU74B2QM79y+CQ6KyJcR2joWciBAwQknEKyqJufpp4n/3clt0MuujyzLvLHlDZ5c8yRBOUh+Qj5PHP8EAxIHtPqYks9H6dy52L/+BoD0W24h+aorD0/c76iCqm2QOx50rc/Nnu07KL35ZrwFBQAkXXwxSTfdgEsdwOazYffZW8y9AS9nDjyTbEt2q7+3x1O+CT78A1RtVZYn/RFOugtZpcO1cqUiBvtuIcGGhvAu2owM4k/5HfGnnkrc6NG94mWProIYOxREHAQCgSA2RL6M0FtioQgBvU3cwhQBQl25C1mK/igtPjUuXEKysWxZfJoRtRAgCAS9kt6SLw9FW8Uh4Asqrp0lzR3D3PbolaC0Bg0p2eZwTk7NVfKzEOsKBIKuihCAdSN6wyC/vXY7D6x4gLWVawHoY+3DtJxpVLmqwkKvanf1QR9uNyXJkESGWRF0NQq7GkVejestOku3u0EuyzLbarfxZeGXfL37ayrdleFtmeZMTut/GrMGzGJw0uBO7GUnYSuDVS/B6leUslwAhgQYdxlMvBYS8zqkG7uqHFz235WU1LtJteh59YqJHJWb0KzN4h1VXPvmGtz+IOP7JvHfKyaQYNS1S39kn4+a11+n+t/PIXu9qAwGUq//MylXXIFK1z7f2dn0hpwZCyIO0SlxlHDf8vv4peQXQClDfOeUO5mQOaGTexZClqFgISy8A6lqG0uNcbyemsEKbeQ0a2z6WC4bcRnH5x6PJuR26A/6Ka0roOjnByna8wNFOi1FpniKErIo9tYeUhydbkwnLz66OCzBkHDQfffHu3Mney6+BKmhAcuMGeQ+8zQqbfe9MA7U1eFavhzzMcegscYgKq4thJ8ehg3vodSAUMFR58Dx8yAlv727K2gFIl9GaOtY2H/4geI//RlNcjKDfvoRlb6LCG47iDUVa7jl51uocldh1Bq5a8pdnDbgtFYfT5YkKh9+hNrXXwcg6bJLybjttjZxgJJkCYffgd1nD082r625kMtrI+eb9Rz9wSa0AQmHRcObZyWyvJ8Pd2Mp44PQP6E/78x6B7PuAC6/AvC7FSewFS8oy2nDYM7LkDkSANnvx7lsGbavvsa+aBGSwxHeVZedjfXUU4g/5RTiRowQzmDtjBg7FEQcBAKBIDZEvozQ22MR9EvUVSjlQqtLnNSGXMNcDb6o7bU6NckhAYLiSqO4hhktvevaSiDojfT2fNlIe8fBZfOFSjk7QrnZQV2Zi2Ag+vPo+NQ4UnOtijAsNFlT4rrd82aBQNDzEAKwbkRvGeRlWebL3V/y+OrHqXZXR22jUWlIM6U1F3Q1CrxCwq50UzoGTeudlLoLQSnI6orVfFn4JQv3LsThj9z8H5Q0iFn9Z3Fa/9OOqKRmt8TnUsqoLf8P1OxU1qk0MPxMmHJ9u5Y/a6TS5uGKV1expcyGSa/hPxeP5fgh6QB8tbGMG979DX9Q5rjBabxwyTiMHVBf3LdvH+V33YXz12UAGIYMIeveezCOGtXu393R9JaceShEHA6MLMt8t/c7Hlr5UHi8mT1wNjeNu4nEuMTO7RzgDXr5ouBT3lj3HIVepeSTRpaZKZu4bOLNHDXivJY77V4Mn/4Z6vcpyxOvhZP+BXozkixR6aqkyF5Esb2YffZ9FNmLlMlWhN1vP2h/4vXx9LH2URzHrLn0ie9DoiERSZaQZZmgHEQi8lmWZfSbdpH7z/+i9geo+d04Sv54OpJKRpKlFpOMTFBSjhFe1+RYkiwpn5GJ08SRn5jPoKRB9E/o3+7jvXPZMkpuvZVgVTVqq5WkCy8k+fLL0KakHHrnym3w4/2w9TNlWaVRnCmPvbXDRMmC2BD5MkJbx6LoT3/G8cMPJF91FRm33tIGPex+VLurmbt4LivLVwJw/pDzuXXCrUfkPlnz6mtUPvwwANZTfkfKA/fgUvlx+V04/A6cfmd4irbcTOTlU0ReDp8DmQNf0ic4ZP70pcTRhUqbNfkqnp+lxmZufoPTpDVh1VuJN8Rj1VmJ18cTb4hnWekyqtxVnNLvFB459hFxY/RQFCyCT64DZ6VSGvqkuxSH4yaiLsnrxfnLL4oY7McfkV2u8DZNUhLmKZMxT5uGeepUdFm97JqwAxBjh4KIg0AgEMSGyJcRRCyi47b7mjmF1ZQ4qC11EvBHFyCYEvRhl7CUHEUglpRhRqMTLwEIBD0FkS8VOiMOUlCivtKtlPYtDgnDih0466O/ZK2P04QEYdawU1hKthltBzz7EwgEgkaEAKwb0dsGeYfPwXvb38Pus4eFXY1Cr+S45LDbiSCCN+jl56Kf+bLwS5aULMEvRSxLx2WMY9aAWZzc9+TDdnHp1kgSFHwHy5+LlFMDyJsEg08BayZY0sGSoUymFGjDf1t2j5/r/reWX3ZWo1WreGjOKCRJ5raPNiDJMOuoLJ48fwx6bcddlMuyjO2zz6h48CGC9fWgUpF0ySWk3XADGkvPcWLobTnzQIg4HBqbz8Yza5/h/e3vIyOTZEjilgm3cPqA0zvlwXStp5b3tr3Hu9vfpdajCL/MWhNz4nK5eMcysr1OpeHIOXDinUq5W58TFt0NK19UtiX2gTOfg/7HxvSdsizT4G2gyF7UXBgWmg4kyI6Fidsl/v6RhBp491g1H01r23ynUWnoE9+HQYmDGJg0kMGJgxmUNIgcS84RnyvIgQBV//43NS/OB1lGZTAge5ULfJXBQOKcOaT831XocnIOfbDSdYoQrOC7UMf1MP4qmH6TMg4JOh2RLyO0ZSz8FZXsnDEDgkEGfPUlhgGtL3/Y3QlKQZ5b9xwvbXwJgJEpI3n42Iex6C0RYZbPgSvgwuFz4Aw4cfqcOAMHXj94dSUXf1CDVoItefDoHA1O45GPXQaNAaveGp7i9fEM3+pk+hsbMNi9SHot5VedQuDME4k3JBCvjw+3s+gtaNXRHR/XVa7jym+uJCAHuG3ibVw87OIj7muPx1kNn14PO75WlgccD7NfgPiWYi7J7caxeAm2r7/GuWQJktPZbLt+wICQGGwK5okTUZt7zrl/ZyHGDgURB4FAIIgNkS8jiFjEjiTJ2Krcivgg5ExTU+LAVu2J2l6tVpGYaYqIwkIly8yJBvEChkDQDRH5UqErxcHt8IXFYI1TXZkTKdhSIqFSQWKGKewUpuRkK+ZEvcjJAoGgXRACsG5EVxrcBF2fBm8DC/cu5MvCL1ldsTq8XqvWcmzOscwaMIvj8o7rFS5pYco2wPLnYeMCkKLX80alBnNaRBBmyWgiEEtvvs5gVc7eDoEvIDH3ww18/FtJs/UXTszjvtlHoVF3zkleoK6OyocepuHTTwHQZmaSeecdWGfM6JT+tDUiZyqIOMTOtrwNkQABAABJREFUusp13L3sbnbWK66Bk7ImccfkO+gb37dDvr+wvpA3trzB57s+xycplv9Z5iwuHnYxZw86G6veCg0lioho3duArIiIxl4Ou75XSg4CjLsCTr5PyVFthMvvCjuHNYrC9tn34fA5UKvVqFGjVh14GvVzCce+vx2AxZcexc5j+qJSqdCoNM3aqVDWqVQq1Cp1+HN4Xeh7bD4bO+t3UlBXgM1ni9rnpi5hAxMHMihpEIOTBpMSlxLTxbW/rIySm2/BvWYNAInnnkvGbXNx/PorNfNfwrNxo9JQoyHh9FmkXH01hoEDDx3Mfcvhh/tgzxJlWWeCidfAtBvAlHzo/QXthsiXEdoyFtUvzqfqyScxjh1Lv7ffaqMedm8WFy9m3pJ5B8xfh8uIvRK3fChh8kJRKjxxkRlfajxmnfmAk0VnCQu2wiIvQ3x4uek1guR2U/Hww9S/+x4AhqFDyXns0dhyXhT+t+V/PLzqYbQqLa+e8ipj0se0RRh6NrIMa16Fb26HgBuMSXDGszDs9wfexe/HvWEDzqW/4ly6FPfGjcrLMY3odJhGj8Z8zDTM06YRN3w4Ko14yepwEWOHgoiDQCAQxIbIlxFELI4cnydAbWnIKazYQU3os9cViNreYNIqorBcS9g1LDnbjM4gzgEFgq6MyJcKXT0OwYBEXbmLmmJ7WBRWU+LAbY/+LDLOrFPycV6khGRSphlNB5pFCASCnokQgHUjuvrgJui6lDvL+Wr3V3xR+AUFdQXh9RadhZP6nsSsAbOYkDGh97iq2cvht/8ppSEdFeCoVObOajhIyZsWaI0HFoc1+5yOpNbzyLfbeeHnXQBce9wAbjtlaJdQ+Dt//ZWyf92Fv6gIAOvJJ5Pxz3+gS+/ejjQiZyqIOBwefsnP65tf54X1L+ANetGr9Vw7+lquHHElOo2uzb9PlmVWlq/k9c2vs6RkSXj9iJQRXD7icmb2nRndRaVsA3z3T9j9c2SdNRvOfBYGntTm/WwLKp94kpr580GjIe8/z2E57rgjPqYsy1S5qyioK2Bn/U521O2goK6AwoZCvMHoVtyJhkQGJQ1iUOKgZuIwsy7igmL/4QfK5t1OsKEBtdlM1r33EH/aac2+17V8OdXz5+Natjy83nLiiaReczXG0aMP1XEo/Al+uBdKFIEZhnilRPHk6yBO/L/aGYh8GaGtYiHLMrt+dwr+ffvIeuABEs8+qw172b0pcZQwd/Fc1letB8CoNYaFWSadqdn8QAKuptsNe8px/nUeUmUV2owM8ubPJ27I4CPup2fLFkpuvgVfoSIyTr7yStJu/BtqfetLV8qyzC2Lb+HbPd+Sbkrn/dPfJ8UYQ0ldAVTtgI/+AGXKvxvGXga/exAMlkPuGmxowLliRVgQ5i8ubrZdnZCAecoUzFOnYJk2LTZ3S4EYO0KIOAgEAkFsiHwZQcSifZBlGUedN1w+srGUZF25C1mKct9bBQlpRkUQlttYStJCfEocqk56aVkgEDRH5EuF7hgHWZZxNfhCgjB72DWsvsJFNDWFWqMiKdMcLh/ZKAwzWlt/D0YgEPQ+hACsG9EdBzdB12NH3Q6+LPySr3Z/RbmzPLw+0ZCIVW9FhQqVSoUK5QKv0ZGlUajUuO1g7VSoUP5r2a7R1aVxm0atYUjSEKZkT2FsxtjOdSQLBsBV3VwUZi+PfG4699kP79hxiWDJoEadhNOUR5+jjoGc8ZA+rE1LTrYWye2m+j/PU/PKKxAMorZaSb/p7ySedx4qdfd840DkTAURh9ZRZCvi3uX3sqxsGQD5CfncOeVOxmaMbZPj+4N+vtnzDW9seYNttdsAJWeekHcCl424jLHpYw8tEJVl2LkIljwOaUPhpLvAmNgm/WsPZFmm7LZ5NHz6KSqjkb6vv4Zx1Kh2+a6gFKTIXkRBfQEFdQVhgdg++z4kWYq6T44lh8HmAZz2TTV9v1HcvQwjRpD75BPo+/Q54He5N26kZv587AsXhdeZJk0i5ZqrMU+devC/oyzD9q8VV7eKTco6YzIccyNM+APoTYf/49uSxtP6LiBW7ghEvozQVrFwrljJvssvR202M2jJYtSmTv433QVx+p3EaeLa5EUMf2kp+665Bt/OXagtFnKfew7zpImtOpYsSdS++hqVTz0Ffj/atDSyH34I89SpR9xPUH73hV9eyO6G3UzKnMSLM1/sPS+jHCkBnzJuLH0akCF5AMx5GXLGHdZhfPv24fxVEYM5l69Asje/vtH37auUizxmGqaJE9FYDi0y63AkCTz1yos8XhukDoK4hA7tghg7FEQcBAKBIDZEvowgYtGxBP0SteVN3MJKHFSXOHHbfFHb6wyacPnIlCbiMIMxeql3gUDQfoh8qdCT4hDwBaktc0acwkJznzu6g6M5QU9qnrWZKCwh3YRaCHUFAkEUhACsG9GTBjdB5yPJEmsr1vLl7i/5bs93bVaC5kgwaAyMyxjHlKwpTMmewuCkwV3CISsqPmdIENYoCquILhRzVBy43CSAzgzZR0PuOEUQljse4rM77nfsh2fbNsru/BeeDRsAMB59NFn33I1h0KBO61NrETlTQcSh9ciyzFe7v+KRVY9Q66kF4JzB5/C3sX8jwdC6h4sN3gYW7FjAO1vfodJdCSiuL2fmn8klwy/psHKTnYXs91N03Z9w/vILmqQk+r37Dvq+HfebPQEPuxp2sbNOKR9ZUF/AzrqdVLoryaiVufHTIANC2ugvJqh4b4aevOT+YbewwUmDGZE6glRjaotje3ftouall2n44gsIKBfrcSNHknL11VhnnnRwMa0kwZaP4ccHFHdKAEsmHHuzUuJT24q3vGQZAh7w2JSH4p6GyOS1KesP+rkBvCExgNYIurgm89CkM4bmB9u237xF+yjHbge3vVgQ+TJCW8Wi5JZbsX3+OYnnnUfWPXe3YQ8FByLY0EDRn/+Me/UaVDod2Q8/1MzBMBb8FRWUzr0N13LF4dA68yQy77kHbVJSm/Z1V/0uLvzyQtwBN1cfdTV/HfvXNj1+j2f3Evj4WrCVgFoLx98Gx/y9VS+XyIEA7o0bFXewX3/FvX49BIORBlotxtGjMU+bimXqVOJGjkSlbYeHf00FXc4q5eUcZ2gKf64CV01oXQ3ITfqJCtKHQ59JkDdZmSf2bVchsxg7FEQcBAKBIDZEvowgYtE1cNl8EbewYgfVJQ5qy5xIgeiP+azJcSExmCIOEyIEgaD9EflSoafHQZZl7DWecOnIRnGYrcodtb1Wrw7n4dRcC6l5VpKzzejjhFBXIOjtCAFYN6KnD26CzsMX9LGjbgcBKYCMjCzLyMhhl5TG5abblP+ar2sxj9JOQoqsk2U8QQ9rK9ayrHRZWAzRSEpcCpOzJzM1eyqTsyaTbuqGJQllGdx1EZGYvQKqtkLxaij9DXyOlvtYs0OCsJAoLPvomMq6tFmXg0Hq3n6HqiefRHK5QKcj9eo/kHLttagNnejQdpiInKkg4nDkNHgbeHLNk3xY8CGg5Ka5E+dySr9TYhapFtmKeHPrm3yy8xPcAeWiLdWYykVDL+K8Iee1WlDWHQk6nOy7/HI8mzejy8uj3ztvo01tKajqSMo+fp+6ex9E5fLgtej59Pw+fJNTjcMfJUejuIWNShvF6LTRjEodxdDkoeESof7SUmpeeZX6Dz5A9ngA0PfvT8of/kDC709HdbCyacEAbHgXfnoYGvYp6xL6wHG3QFK/kICrqaDLpgi1oq63QTD6m7xdHpVGGffiEhUnF2Oi8rlx3mJdUpN1Ca0WkIl8GaEtYhFsaKDg2OOQvV76vf9euzn+CVoieb2U3joX+7ffApA+dy4pV14R0762b7+j7M47kRoaUBmNZNw+j8Rzzmm3lzK+KvyKuUvmAvDsjGc5Pu/4dvmeHou7Dr64ETZ/rCz3mQpnvwiJB3aujIWg3Y5r5UrFHWzpr/j27m22XR0fj3nSJMUhbNpU9Hl50Q8UFnRVNRFxVYGzpsnn6oMIumLEkKAIjR3lLbdZMpsLwjJHtanQWIwdCiIOAoFAEBsiX0YQsei6BIMSDRXukEtYRBzmqPNGba/RqUnJ3t8tzIzRIkqWCQRtgciXCr01Dj5PIOwQ1jjVljgI+KNUuWgs65trbSIMs2BONHRdsw2BQNDmCAFYN6K3Dm6C3oEsyxQ2FPJr6a8sK13G6orVYZFEIwMTBzIlewpTsqYwLmMcJl03LyMkBaFqO5SsgZLVULwGKjfD/uXJVGpIG9bcJSxtaLuXjvSXlVF+z704fvwRAH2/fmTeczfmia0rJdTRiJypIOLQdqypWMM9y+6hsKEQgGk50/jnpH+Sa82N2l6WZdZVreONzW/w/b7vFVEsMDhpMJcNv4xT+5+KXtM7b4YFqqvZc8GF+IuLiRsxgr5vvI7abO7wfkguF+X330/Dhx8BYBo/nuzHHkWXmamUrHSWsbN+JzvqdlBQV8D22u0UNhSG/5aN6NV6hqUMY1TaKEUYljqaVK+eujffpO6tt8NltbRZWaRceQWJ55xz8FJ4AS+sfQMWP6qIh48IFRjiFWFUXGhuiD/E58TIZ1mGgBv8nibz0OR37zc/2Da38rtaHCs0D0a/kdwq9JbQ703cTyh28HU2n5qE1AyRL2mbsaP2rbeouPc+DIMH0//TT8SNpg5GDgapeOhh6t58E4Dkyy8nfe6tB3QjlJxOyh94IJwP40aOJPvRRzD079/ufX1wxYO8ve1trHor753+HnnWA4iJBNGRZVj/Lnx1s/JyiSEeZj0Bo86Nbf9gIJKL/a6oOdxXXIzzt2041+/EuXkvkqt5ztYlx2HOj8fc34gpS4UmUAfualTu2tYJuuISwJQK5lQwp4EppcnnVDCnhOahbY1OmfYKKFqhTPuWQ9n6lm7MOpPyok3eJOgzGXInHFEJbXGurSDiIBAIBLEh8mUEEYvuh8fpp7bUQXWxM+IaVuIg4IsiQkApWZaSayElO1JCMinThEZ7EId0gUDQApEvFUQcIkiSTEOli+qiRlGYnepiB66G6C8DG8xaRRSW1+gYZhX5WCDowQgBWDdCDG6C3oQv6GN91XqWlS7j19Jf2VKzpdkDd51ax9HpRyuCsOwpDEsehlrVA05WfE4oXRcShK1WxGG2kpbt9BbFGSwn5BTWTqUjZVnG/t1CKu67j0BVFQAJ58wh4+ab0SQmtvn3tSUiZyqIOLQtvqCPVza9wksbXsIn+YjTxHHdmOu4dPil6NSKm0RACvD9vu95Y/MbbKjeEN73mJxjuGz4ZUzOmiyEEIBvzx72XHgRwbo6zMccQ97z/0Gl67jSf54dOyi58e/4du0ClYrU664j9U/XHbKkld1nZ1P1JjZUbWBD9QY2VG2g3lvfol2qMZVRqaM42jyEMb9WYvpwEcHqGgA0SUkkX3YpSRddhCbhIO5vPhesehl++5+y3EyoFRJ0hT8fYL3eAgcrP9lVkCRFBNYoOvA6FNcYd32TecPB1/nsR9QFm1cm4SG7yJe0zdhReNbZeLduJeP220m+7NI27qEgFmRZpvaVV6h89DEA4k87layHHkK9nxOhe8MGSm65Bf/efaBSkXLNNaRd/+cOy8n+oJ8rvr2CDVUbGJY8jDdOfYM4bVyHfHePonY3fHQNFK9UlvtNB4NVyat+d0vhbeM6KXBYXyNL4KnT4Sw34Cw34KrWg3yA8xqVjEoto1KrUGlUqDQa0GpQaTWodDpUOr0y6Q2oDHGgN6IyGEPrdai0WlQ6LWi1oeXIOpVOp6wPrVMb4zBPPxZ9bk7k+/1uKFkLRcthX0gY5qnfv5OQPiwiCMubpLhuxniuJs61FUQcBAKBIDZEvowgYtEzkCWZhmp3uFxZTah0ma3aE7W9Wq0iKcvUzC0sNceCKUEv7pUJBAdA5EsFEYdD47L5qCl2UFVsD7uG1ZW7kKWW0g21RkVytpnUHKV8ZErIMSzO3HH35wUCQfsgBGDdCDG4CXoz9Z56VpSvCAvCypxlzbYnGhKZlDWJqdlTmZI1hSxLVif1tB2wlTUXhB2ydGTIJSxrTJuVjgzabFQ+8QT1774HgCYlhYzb5xF/2mld9uJc5EwFEYf2YU/DHu5dfi8ry5WHrIOTBjN3wly2123nra1vUeJQhJt6tZ7T80/n0mGXMjBpYGd2uUvi3rCBvZdfgex2kzB7NlkPPtDuOUWWZerfX0DFAw8ge71o09LIfvRRzJMntfp4RfYi1letD4vCdtTuICA3f6AeF1Rzzs5UZixpwFLlBEBlMpF04QUkX345uvRuWOa4qxEMRARhhyse8zRg80pCABbiSMcO9+bN7JlzDiqdjoGLf0ablNQOvRTESsPnX1B6++3g92OaOJHcfz+LJj4eORik5qWXqHr23xAMos3KIvvhhzrF7bXcWc55n59HnbeOswedzd1T7+7wPvQIggFY8hj8/EjrnLe0cUopRa0RdHGRuc4U2tZyXTCoxbWzBuf2Cpyb9uErq2373xUrKhWWE04g6eKLME+Z0tLxTpKgekcTQdhyqC1seRxLRhNB2GTIOnDZSHGurSDiIBAIBLEh8mUEEYuejc8ToLbUGS4fqZSSdOJzR3/5IM6sIyXH3KSEpIXkbDM6fftWwBAIugMiXyqIOLSOgD9IbakzXD6ypthBdZEdnyf6PQNLkoHUPGu4fGRqrpX41Lgu+xxQIBC0RAjAuhFicBMIFGRZZq9tL8vKlrGsdBkry1fi9DubtekX3y9cLnJC5gQs+rYRQnUJwqUjm4jCKrdELx2ZPjziEJY3CVIHx/w2ezRca9ZQdue/FMccwHzsdDLv/FfzN+27CCJnKog4tB+yLPPZrs94bPVjLRygkgxJnD/0fM4fcj6pxtTO6WA3wf7TTxT/+XoIBkn547Wk/+1v7fZdQbudsjvvxP71NwCYp08n+6EH0aaktOn3uANuttZsDQvC1leup9JdCYBakpmyVWb2Mom+irEiklaN75Tp9PnjX0gZOKJN+yKIEUnCVlVMQmZfkS858rGj7O67qX/nXeJPO42cJx5vhx4KDhfnsmUUX/8XJKcTw6BBZN59N5VPPI579RpAcQfL/Ne/Du5K2M4sK13GtQuvRUbmnqn3cNagszqtL92e8o2w91fQGqKIuIyRedPP2rgjuk5oRPJ4kH0+5EAA2e9H9gcg4I8sBwLI/gBywI/s90MgEFnXuL3pNn+gyb5N1oXbKu0DZeW4Vq0K90Pfvz9JF15Iwlmz0VitB+6wozJSMrJoheLGvH/ZSK1RuabqM0kRhOVNAKMibBXn2goiDgKBQBAbIl9GELHofciyjKPO20QQpggR6itcRH2qqILEdFNEGJajuNNYk+NQqYUQQdB7EPlSQcSh7ZBlGXuNJywKqy6yH9S9UR+nURzCQsKwtDwryVlmNLpuUHVCIOiFCAFYN0IMbgJBdPySn03Vm/i19FeWlS5jY/VGpCZiKK1Ky6i0UeFykSNSRqBVH7zEV7fD64CydSFB2GooXgP20pbtkvrDsNNh6O8hd0KryoJJPh81L79MzfMvIPv9qIxG0v76V5IvveSQpdM6EpEzFUQc2p86Tx2Pr36cT3d9Sr/4flw24jJ+P+D3onzVYVC3YAHld9wJQOa/7iTpwgvb/DvcGzdS8veb8BcVgVZL+o03knzlFS3dQdqJcme5IggLicK2VG9mxHYPs5dJDA1V+pVUsH6UhdLZk+kzdjqj00aTn5jf88asLorIlxGOJBaS203B9GORHA76vPoK5ilT2qmXgsPFs20bRVdfEy7rDaA2m8m88w7izzijS7zNOX/DfJ797VkMGgNvnvomw1KGdXaXBN0Ib+Fu6t55h4aPPkJyRtw2E848g+SLLsIwaNChD+J3K47LjYKwohXgrmvZLm0Y9JmELWkUCdP/0OvHDjGGCgQCQWyIfBlBxELQSMAfpK7MpZSRLImUkXTb/VHb6+I0pGSbm5WRTMmxYDCKeyeCnonIlwoiDu2P1x0IlY60h4RhDmpKHUiBKCUk1SqSsswhl7CIOEyUkBQIOh8hAOtGiMFNIIgNm8/GqrJVLCtTykUW2YuabbfqrEzKmkTf+L4YNAYMWoMy32/Sa/TEaeOUuWa/uTYOvVrfJR6UHRBbqeIO1ugSVrQSgt7IdnM6DD1NEYP1Pxa0+sM6vLdwN+V33olr9WoA4oYPJ/PeezCO6BruNSJnKog4dBz1nnriDfGoVeLNl9ZQ9dxzVD/7b1CpyHnmaeJnzmyT48qSRO1rr1P5xBMQCKDLySHniccxjh7dJsdvLf6gnx11O1hftZ7yX3+k36drGLbDHd6+Jl/FJ1PV7OtnYmTqSM4aeBan9T8NjVqUP2gvRL6McCSxaPj0U0rn3oYuN5f8777tMJGlIDb8JSXsu/oafIWFGMeMIfvRR9Dn5XV2t8JIssRffvgLi4sXk2vJ5d3T3yXB0HmuZILuSdDhxPb5Z9S+9Ra+nbvC602TJpF08UVYZ8yI/cUVSYKagoggbN9yqI0c0+aVRflgxBgqEAgEsSLyZQQRC8GhcNl8zd3CShzUljmjChEArMlxITFYRByWmG5ErRHXpILujciXCiIOnUMwKFFf7qK6yE5VSBRWXWzH64xe0teSbCA110pqnoW00NyaIkpICgQdiRCAdSPE4CYQtI5ie3G4XOTysuXYffY2O3ZYKBZNIHaA9QmGBPrF96NPfB/6Wvt2XHlKrx12LoKtX0DBd+C1Nfkh8TDoZBg6CwbNBMNByqQ0QZYkGj76iIpHHkWy2UCtJvnyy0n7y/WoTaZ2+iGxIXKmgoiDoLsgyzLld/6L+gULUBkM9Hn1FUxjxx7RMQN1dZTedhvOnxcDYP3d78i69x40XfT/hYp1yyl9/t8YFq9FFTql3pIHn0xRs26AigGJ+fx5zJ85qe9JQmjYDoh8GeFIYrH3kktxrV5N2g1/JfW669qph4IjQXI6cW/chGn8uC7l3tpIg7eB8784nxJHCcfnHs/TM54WOU/QKmRZxrViJXVvvYX9++8VMRegzcwk6YILSDz3nNaVgXZUhdzBlmPbvpSEv/7U68cOMYYKBAJBbIh8GUHEQtAagkGJhgp3xC0s5BjmqPNGba/RqknONkdEYbkWUrItmOIP70VogaAzEflSQcSh69BY0rexfGTj/IAlJI3akEuYJSwOS84yo9GKez0CQXsgBGDdCDG4CQRHTlAKsrlmMyvLV1LjrsEX9OEJeprPA56o671BL56AB5m2TXMpcSn0je/bYsqz5rVfCbmAD/YsVsRg278CR0Vkm8YAA45XSkUOOQ3MqYc+XHU1FQ88iO2rrwDQZWeTede/sBx7bPv0PwZEzlQQcRB0J+RAgOK//BXHjz+iTkig39tvYcjPb9WxnCtXUnrzLQQqK1Hp9WTcPo/E88/vFm8b+fbsoea/r9DwySfIfqXkQWWSmp9GwM9HqUgdMJzrj76e6TnTu8Xv6S6IfBmhtbHw7t5N4amngVrNwB++R5eZ2Y69FPRkNtds5rKvLsMn+bhh7A384ag/dHaXBN0cf2kpde+9T/2CBQRrawFQ6XTEn3YqSRdfjHHUqFYdV4wdCiIOAoFAEBsiX0YQsRC0JR6nn9pSB9XFzrBbWE2pk4A3GLW9MV5PalNRWI6F5EwzGp0QIwi6HiJfKog4dH28Lj81JQ6qihxhUVhtqRMpGKWEpEYpIZnWpHxkap4Fg0mUkBQIjhQhAOtGiMFNIOh8ZFkmIAUUMViMwrGm671BL9Xuavba9rLXtpdaT+0Bv0uFikxzJn3i+yiOYdY+9EtQ5jnWHHTqNjoRkiQoXgXbvlCm2sImnVBDnymKM9jQ0yGp70EP5fj5Z8rvvgd/aSkA8aedRsbt89CmHlpE1taInKkg4iDobkhuN/uuuBL3+vVos7Po98676DLSY95fDgapfv4Fqv/zH5Ak9AMGkPPkE8QNGdKOvW4f/BUV1L72OvXvvYfkcoXXb8mDn49S4zhmFNdO+RuTsiZ1Yi97DiJfRmhtLCoff5yal17GfNyx9HnxxXbsoaA38OGOD7lr2V2oVWrmz5wvcp2gTZB8PuzffEPtW2/hWb8hvD5u5EiSLr6Y+NNORW0wxHw8MXYoiDgIBAJBbIh8GUHEQtDeyJKMrcZNTbGzmVtYQ7WbaO93q9QqEjNMijAsJApLybFgSTKIl+8EnYrIlwoiDt2TYECirtxFdbGd6n1K+cjqYgde14FLSKbkKG6Nje6NiRkm4RYmEBwGQgDWjRCDm0DQ87D77Oyz7WOPbU+z+V7bXuz+A5eq1Kg05FhymjmG9YnvQ9/4vmSaMtGoNa3rkCxD5daIGKxsffPtmUcpQrChp0PGCPxyAHfAjSfgwR1wK59t9cj/fQfDhwtRSTKS0YAmKxODNRGNxYLabG4+WZS5JrwcpY3JhEp9eCd4ImcqiDgIuiOBujr2XngRvj17MAwZQt//vYnGeujStP6KSkpvuQXXypUAJJx1Fpl3/LPTS9IeKZLLhX3RIho++QTnsuVKrga8Wlg5WEXFscP4/fn/YEzWkZXM7O2IfBmhNbGQ/X4KTphBsLqanGefIX7mzHbupaCnI8sydyy9g093fUpyXDLvn/4+GeaMzu6WoAfh3riRurfexvbVV8g+HwCaxEQSzz2XpAvOR5eTc8hjiLFDQcRBIBAIYkPkywgiFoLOwu8NUlvqjJSRLFbEYQcSI+iNWlJyzKQ2dQvLNqOP03ZwzwW9FZEvFUQceg6yLGOv9VDdxCmsutiBvSZ6CUm1WkVipomUbDPJIXFuSrYZa3IcKrUQ6AoE+yMEYN0IMbgJBL0HWZap89ZFFYfts+/DHXAfcF+9Wk+eNa+FOCzNmIY36A0LtcKCrSbirRbb3HW4bUW4nZV4fA7cahVulQq3So1brSZwkHOr/mUy134dZEDFgdscDmqTqYlobH+RmKmFuMyBirxz5vT6nCnGDkF3xVdczJ4LLiRYXY1p0iTyXpqPWq8/YHvH4sWUzr2NYF0dKpOJrLv+RcIZZ3RgjzsGf3k5DZ99Tu1HHxDcsy+8vtYCu6f0Ydxlf2fYhN91Yg+7LyJfRmhNLOzff0/xn69Hk5LCoJ9+RKUTlu2CI8cdcHPpV5eyvW47Y9LG8Mopr7SdC65AECJQW0v9Bx9S9847BMrKlJVqNZYZJ5B80UWYpkw5oOuDGDsURBwEAoEgNkS+jCBiIehKyLKMs94XLh9ZHRKF1Ze7kKTojzzjU+PCJSRTQ4KE+DQjaiFGELQxIl8qiDj0fBrL+daUKCLdRrGuzxO9nK/OoCE5O1TON8dMSraF5BwzRsuBnyEIBL0BIQDrJOrr63nwwQeZOXMmycnJjB17aMcGMbgJBAJQLkgrXZVKGUn7XvY2hOa2vRTZiwhI0d9Wak/UsoxRpcWoM2E0JBCnM2LUGjGp40jYV0d5+U703iBxXjD5IM4HWaoE+mjSyVIlkiIZ0bh9SE4nkstJ0OFUPjudEIx+cncoHMEgE3cW9PqcKcYOQXfGs2ULey+5FMnlIv6008h+7NEWboCyz0flk09R++qrABiGDSPniccx9O/fGV3uMGRZxrNpE6Xvv4X9q68xOH3hbVV94sk650L6n3s52qSkTuxl90LkywitiUXRH6/D8dNPJP/fVWTccks791DQm9hn28cFX1yA3W/nkmGXMHfi3M7ukqCHIgcCOH76idq33sK1bHl4vX7AAJIuuoiE2WeisVia7SPGDgURB4FAIIgNkS8jiFgIugONpctqmjiFVZc4cDX4orbX6tUkZ1talJGMM4uXWAStR+RLBRGH3oksyzjqvGGBriIKc1JX7kQKRpekmOL1pOSE3MJCpSSTsszo9K2snCQQdDOEAKyTmDlzJgsXLgTgkUce4dZbbz3kPmJwEwgEhyIgBShzlrUoJ7nXtpc6bx1xmjiMWiNGnRGjRhFpGbVG4rRx4c/Rllusl2SMxasx7voJY8H36LwNhN9t0lth8MkwdBYMOhkMVtwBN79V/Mby8uWsLFvJlpotyESGCxUqhiYPZXLWZCZmTWRs+lhMOhOyLCN7vYoYzOEIi8KCTidSE5FYZHKEtzfU1zPq/fd7fc4UY4egu+NYupSia/8IgQDJV15JxtzIOZOvqIiSm27Gs2EDAEkXX0z6rbegNhg6q7udguTzsfvrBRS8/RI5GyvQSqH1GhW6YyaTec6FWI87DtVBHNQEIl825XBj4a+oYOcJM0CSGPDVVxgG9GwBpqDj+WHfD9zw4w0APHrco5zS75RO7lHXxe6z89+N/2V73XYGJQ5ieMpwhqUMI8+ah1p1eCXVezPeXbuoe+ttGj75BMnlAhRH4oTZs0m6+CIM+fmAGDsaEXEQCASC2BD5MoKIhaA743b4FIeakCispsRBTamToF+K2t6SZGjhFpaYYUStEefngkMj8qWCiIOgKcGgRH2Fi9oSJzUh17DaUge26uhlJFFBQpoxXMa3URiWkG4Szo2CHocQgB2CtWvXcvXVV7NmzZpm6wsLC/nggw8YMGAAhYWFXHPNNSQmJsZ0zEWLFrFgwQLmzp1LcnJyzPuJwU0gEHRJAj7YswS2fQHbvgJHeWSbRg8DjlfEYENOA0s6AA3eBlZXrGZF2QpWlq1kV8OuZofUqrWMSh3FpKxJTMycyOi00eg0h/emlMiZCiIOgp5Aw2efUXqr4viSfttcUq64Ats331D2zzuQHA7U8fFk3X8f8TNndnJPO5/thatY/OoDZC3ZRn6TdKxKiCdx1ukknDWbuJEjD1jKqrciuVzUbN9O+tixIl9y+GNH9QsvUvXUUxjHj6Pf//7XAT0U9EaeXPMkr2x6BZPWxDunv8OAhAGd3aUuhSRLfLrzU55a+xS1ntoW2y06C0OThzIsZRjDU4YzPHk4feP7olGLN2APRtDhoOHTT6l76218hYXh9aYpk0m++GKksWNJTEnp9WOHuOYQCASC2BD5MoKIhaCnIUkyDZWucOmyxjKS9proYgSNVk1SlkkRhDVxCzPFi5f3BM0R+VJBxEEQCz5PgNpSZ7h8ZKM4zOPwR22v0alJzjKTnG1uNrcmx6ESwjBBN0UIwA5Co8Br3Lhx7P+zxo0bFxaFFRYWMnfuXBYsWBDTcefPn8+CBQt48cUXWbt2LbW1tVxzzTWH3E8MbgKBoMsjSVCyBrZ9Dlu/gNqmwi4V5E1SxGBDZ0FKfnhLlauKleUrWVG2ghVlKyh1ljY7rFFr5Oj0o5mUNYlJWZMYmjT0kA+rRM5UEHEQ9BRqXn6ZysceB8B83LE4f14MgPHoo8l57FF0OTmd2b0ux+bqzbz11UPE/7CG6Ztkkh2Rbfr8fBLOPJOEM36PLjOz8zrZgQRtNvylpfhLSvCXlEY+lyqfg3V1onRwEw5n7JAliV2/OwV/URFZDz5I4lmzO6aTgl5HQApwzcJrWFW+ivyEfN6e9TYmnamzu9Ul2Fi1kQdXPsjG6o0A9Ivvx7mDz2WffR9barawvXY7PqllmRqj1qiIwpKHhYVhAxIGoFVrO/ondHlkWca1fDm1b72F44cflesewJOextglS3r92CGuOQQCgSA2RL6MIGIh6C143QFqQy5h1WHHMCd+bzBqe2O8ntSQIKyxlGRShhmNTriF9VZEvlQIx+GpY4jPHw9ZYyB7DKQNA60QTgoOjCzLuGy+JqIwJ7WhcpKBAzg3ag0akjNNJGcp5SOFMEzQnRACsBhQqVTNBGCFhYWce+65zVzBkpKSqKurAxThWGGTN0MbOeeccxgwYADz589n165dPPzwwy32PRhikBcIBN0KWYaq7YoYbNuXUPpb8+3pwyNisKwxEHKjkWWZYkdx2B1sRfmKFi4G8fp4JmROYGLmRCZnTaZ/Qv8WbjYiZyqIOAh6CrIsU3H/A9Q1ugupVKRcfTVpf7kele7wHAJ7E2sq1vDvNc/gX7Ga4zbKTNwhow+ENqpUmKdMJmH2bKwnnYTa1D2FFLIsE6yrU4RdTURdTT9Ldvshj+MyGhm/7jeRLzm8scO5fDn7rrgStcXCoMU/d9t/R4LuQbW7mvM+P48qdxWn9j+Vh6c/3KsdDavd1Tyz9hk+3vkxACatietGX8fFwy5u5p7rl/wU1heytXYrW2u2KqKwuu24A+4WxzRoDAxJGsKwlGEMS1ZEYQMTBx62G29Pxl9SQt2771G/YAENNTVCPIy45hAIBIJYEfkygoiFoDcjSzK2Gk+kfGSxg+oSBw1VbojyhFWtVpGYaVJEYU3cwsyJ+l59PdRbEPlSIRyH26zEG5r8u9foIWNERBCWfbQQhQliQpJkbNXucBnJ2jIndWVO6ipcSIHocpdmwrBG1zAhDBN0MYQALAb2F4A1OngtXLgwvC4/P58FCxYwduzYQx6vsLCQhx9+mBdffJH6+nrGjRvHrl27WrTzer14vd7wss1mIy8vr9cP8gKBoJvSUAzbv4atn8OeX0Bu8pZTfC4MPQ2Gng59p0KTB0yyLLOzfmfYHWx1xWocfkezQ6cZ05iYNZFJmYpDWLYlu9deGImxQ9CTkYNByu++B9fq1WT843Ys06Z1dpe6BbIss6x0Gc/+9iy7SjcyeZvMjE0qhuyL5GG1yYT1d78jYfZsTBPGo1J3nTdLZUkiUFWNv7SJe1ezz6XI7pYihv3RJCWhy85WppwcZZ6bE17nhF45bsCRjR0lN9+C7YsvSDz/fLLuvqudeyoQwNqKtVz17VUE5SDzJs7jomEXdXaXOhy/5Oedre/w/Prnw+fFZ+Sfwd/G/o00U1pMxwhKQfba9rK5ZnNYGLa1ditOv7NFW61ay6DEQUrpyNA0KGkQBo2hTX9Xd0Pyein+4EP6XnJxrxs7xDWHQCAQtI7eeq8KxNghEMSC3xtUypUVO8KlJGtKHHhdgajt48w6UnLNYUFYaq6F5CwzWr0o896T6K1jx4HGjX2P30reSD2UrYOy9eBpaLnz/qKwrDGKIYEQhQliQApKNFS5lVKSZaGp1El9hQspeBjCsGwz1iQhDBN0PEIAFgP7C8AeeeQRFi5c2EIA9uKLL3LSSSfFdMz58+eTnJxMYWEhJ510UlTh2F133cXdd9/dYn1vG+QFAkEPxF0HO76DbV/AzkXgd0W2xSXC4FMUZ7CBJ4Le3GzXgBRgS80WVpavZHnZctZVrsMb9DZrk2fNY7R1NA+d/FCvy5li7BAIBAdClmV+LPqRf6/7NwV1BaTXyZy8zcDJW/XEVdSH2+mys4k/8wwSzzwTfb9+ynlwMIgcCCiT3w+Nn0NTs2V/ADnQtE2w+bK/cX3jumB4ufFYgbq6sINXoLRM+c5DoE1Li4i7cvYTemVnH9KZqrfeUIPWjx3B+noKjj0O2eej34IFGI8a2Z7dFAjCvLH5DR5d/ShatZbXTnmN0WmjO7tLHcay0mU8tPIhChsU1/HhKcOZN3EeY9LHHPGxJVmiyF4UdgnbUruFrTVbsflsLdpqVBryE/MZnjI87BQ2OGlwryvL2VvHDnHNIRAIBK2jt44bIMYOgaC1yLKMo87b3C2s2EF9hYtoT2NVKkjMUNzCUnItpIbmliSDcAvrpvTWseNA48bKQYMZ9OCDJM45W6lCU7cbStcpgrDG+YFEYenDIy5hXVgU5vQG2FnpoLjOzbi+SWQmxHV2lwRAMChha60wLNtMcpaFpCzlszU5TuRkQbshBGAxEKsA7OGHH+acc85ps+8Vb8UIBIJegd8NhT8rpSK3fw2umsg2bRzkz1DEYINPAXNqi929QS/rK9ezolxxCNtUvYmgHCToDrL1uq29LmeKsUMgEBwKSZb4ds+3/Gfdf9hj2wOyzOSqRC7f14e0ZQVIjiYui1otBKK/adqhqNVoMzPQZWejz8lBG5o3iru0WVmoDUfmRNNbb6hB68eO2jf/R8X992MYOpT+H38kblwIOgxZlrnp55tYuHchGaYM3v/9+yTHJXd2t9qVEkcJj616jEX7FgGQZEjihrE3cNags1Cr2s+1UZZlShwlbK1VRGGN4rA6b12LtmqVmgEJA5icNZnpOdMZlzmux7uE9daxQ1xzCAQCQevoreMGiLFDIGhrAv4gdWUuqovtYbew6mIHHkf0F+gMJm3YKSwlx0xKroWUbAs6g3AL6+r01rHjQOPGyoGDsGg0ZN71L5IuuKDljq0VhTW6haWP6DBRmMMboKDCTkGlo8ncQUl9pNKBxaDlrjNGMGdsjrjv1kUJBiUaKt3UNRGF1ZYdXBimM2hICrmEpfexkt4vntRcCxpt16nKIei+CAFYDEQrAfniiy+yZs2a8LqkpCQWLFgQswNYa+itg7xAIOhFSEEoWgHbvlRKRdbvjWxTqaHPFKVM5NDTIKlf1EM4fA7WVq7lp4Kf+NeMf/X6nCnGDoFAcCACUoDPd33OC+tfoNRZCkBffSZ/c01j0LJiXL8uA0k68AF0OlRabbMJnRaVNrReo2m+vH8bjUZZp9OCtnk7dby1iXtXDrqMdFQ63YH70gaIfBkhlljIsszu2Wfh3b6djH/8g+RLL+ngXgp6Ow6fgwu/vJA9tj1MzprMCye9gEbd8x5euANuXtn0Cq9uehVv0ItGpeGCoRdw3ejrSDAkdEqfZFmmwlWhCMKaCMOq3FXN2sVp4hifOZ5jco7hmJxj6Bvft1P6256IsUNBxEEgEAhiQ+TLCCIWAkHbI8syLpsv7BLW6BpWV+ZCkqLZhUFCmjHsEtZYRtKaIpxpuhIiXyo0xmHHHXcQeH8BABnzbiP58ssPvbMsQ92e5oKw0nXgqW/ZVq2DjOEhQdjRIVHYcNC2/uUmu8dPQaWDnRUOdjQRfJU2eA64T6rFgMWgYU+NUj3n1JGZPHDWUSSZu55jmSA6hysMU2tVpOUpYrCM0JSQZhQlJAWHjRCAxcD+ArDCwkLOPffcFgKw3bt3k5iY2G79EIO8QCDoVcgyVGxWxGDbvoDyDc23ZxylOIMNnQWZRyn+1k0QOVNBxEEgEBwKf9DPhwUfMn/D/PDD+77xfbk+/0pOSJuCRqdXhFtaHSqdNiLu6mGIfBkhlli4N25iz7nnotLrGbT4ZzTteB0kEByIgroCLv7qYtwBN9eMuoa/HP2Xzu5SmyHLMov2LeLRVY9S5iwDYGLmRG6beBuDkgZ1cu+iU+Wq4rfK31haupRfSn6h0lXZbHueNY9p2dM4JucYJmRO6BHlIsXYoSDiIBAIBLEh8mUEEQuBoOMI+iXqKpyKMKzESU2xneoSJ26bL2p7XZxGEYU1lpHMtZCcbUYfp+3gngtA5MtGGuNQX1+P9+WXqXnpZQDS/v53Uq+5+vAPeDiiMG0czPgnTLm+xXOoZn30+CmocLCz0s6OCkdY6FV2EKFXmtXA4AwLg9Kt9ElVk5rgxWxy4pbrqHbVsGa3h2/X+fF7k0g1pvHYuUdz3OC0w/+9gi5DozCsttRJTamDyj12KvfY8DhbOjgaTFrS+0ZEYen94jEn9GyndcGRIwRgMaBSqairq2sm7ho3blxYAFZYWMi1117brCRkeyAGeYFA0Kup3xcSg30Je5eC3MSVJrFPyBlsFuRNBo1W5MwQIg4CgSBW3AE3729/n/9u/G+4tFdyXDLjMsYxIXMCEzImkJ+Y32PfAhX5MkIssSi76y7q332P+NNPJ+exRzu4hwJBhC8Kv2DeknkAPHficxybe2wn9+jI2Vm3k4dWPsSK8hUAZJmzuHn8zczsO7Pb5GBZlimoL2BpiSIGW1u5loAUKSmsU+sYlzEu7A42IGFAt/ltTRFjh4KIg0AgEMSGyJcRRCwEgs4n7BZWEnELqy1zIgWiP+aNT40jNdcaKSGZYyEhVbjTtDciXyo0xuG1Na+RlZRJ2rs/Evf6pwDE//Fqsv76N9TqIyyfJ8tKVZqmgrDS3yKisAlXw6kP0+CV2Flpp6DCERJ6KZ/LbQcQeql8pCZ4yE0LkJLgwWp2odM7CKrrqffVUOWqotJViSvgOnj3JA2yP4lMczbT+w+hX3wfcq255FhyyLXmYtVbj+z3A9QXwZd/h4YSSO6vVOJJ7g9J/ZV5Qh5o2rdKQ29ElmVs1W4q9tio3G2nYo+NqiI7QX/L6hyWJENYDJbRP560PlYh0BU0QwjADsKiRYtYuHAhjzzyCLfeeisTJkzgnHPOARTR14svvsiECRNYtWoV8+bNa1f3LxCDvEAgEIRx1kDBt4oYbOf3EIjURMeYDENOxZZ7AgkTzuv1OVOMHQKB4HBx+p38b8v/eH3L69h99mbbkuOSGZ8xXhGEZU7otg/soyHyZYRDxUJyuSg49jgkh4M+r72KefLkTuilQBDh/uX38+72d4nXx/Pe6e+Ra83t7C61CpvPxvPrnuedbe8QlIPo1XquOuoqrhp5FUatsbO7d0Q4/U5Wlq3kl5Jf+KXkl3Dp4UayzFlMy5nGMdnHMClrEha9pZN6eniIsUNBxEEgEAhiQ+TLCCIWAkHXJBiUqC93UVPSpIxksQNnQ3S3MK1BQ3KWWRGFNbqG5ZgxWkSZurZC5EuFxjgMe34YGqNSmeDMZRIX/6QIZD6douGrk5OIj0sgQZ+A1WAlQZ9AvD6eBMNB5oZ4DJrojkpBSWZHuQ334mcYu+0xAH5WTeBa95/wYABVAJXWhkprR621odLasJidWM1udHo7QXUDrmAd7qAj5t9p0VlINaaSbkonJS6Fem89xY5iSh1lBOXAQfdNMCSQa8ltJgprXM40Z6JTH0K4Vbwa3rkQnJUHbqPSQGJeRBC2/1xvjvm3Cg5OMChRW+JURGF7bFTssVFb5oT9lDgqFSRlmSOisH7xJOeY0WiOUBAp6LYIAVg3QgzyAoFAEAWfC3b9oIjBdnwNbsW1xuaVSXjI3utzphg7BAJBa/EH/Wyq2cSq8lWsKl/Fusp1eILN32TrSYIwkS8jHCoW9R9/Qtm8eejy8sj/9htUR/qGpUBwhPiCPq745go2Vm9kWPIw3jztzQPewO2KSLLEJzs/4em1T1PrqQXgxD4ncvP4m7utmO1gyLLMbttulpYsZWnJUlaVr8InRR4oaVVaxqSPYVrONKbnTGdw0uAuO7aIsUNBxEEgEAhiQ+TLCCIWAkH3wu1Q3MJqSpyKY1ixg9pSJ8FAS3caAFO8XnEJy44Iw5KyTGh1mg7uefdH5EuFxjhc8+k1eHQeGrwN2Hw2Ji+p5tKFSum8L8ereP0k9UHLNEbDoDGQoE/Aoreils34fAYcLh21Ni1enwFZMjBIt4Mx+nXUalTs05go0RqRNAd37GpKnCaOdFM6aaY00o2huSmdNGNas88mnSnq/gEpQKWrki+3buL5X1bikCrR6OvITnXhV1WFqzkcCI1KQ6Y5MywIC4vEQsuJBT+g+vRPEPBAxkg4fh7YSqB2N9TtDs33QNB78B9qTo8uDEvqD+bUw/7bCJrj8wSo2mePiMJ223DUtfybaHRq0vKsiiisvzKPTzV22XsrgrZFCMC6EWKQFwgEgkMQDMC+ZbDtS2zrPiXh9m29PmeKsUMgELQVvqCPTdUhQVjFKtZXro8qCGssFzkhcwL9E/p3mwtLkS8jHCoWey65BPfqNaT97W+k/vHaTuihQNCSMkcZ531xHvXeeuYMmsNdU+/q7C7FxPqq9Ty44kE212wGYEDCAOZOnMvU7Kmd3LOOwx1ws7p8Nb+U/MLS0qXste1ttj3NmMa0nGlMy5nGlKwpJBgSOqmnLRFjh4KIg0AgEMSGyJcRRCwEgu6PFJRoqHJTU+IMl5CsKXFgq45eBk+lVpGYbiQ520JqrpnkbEUYFp8SJ8pIHgSRLxUOFofK/71BzX0PAuD//Qyq/3wWDX47Np8tLBSzeW3Nlht8Ddi9diSiixhjRa/WNxNwNYq8wsKukNjLorO02T3SOqeP2z/eyNebygGY0C+J+88eDLpaiu3FyuRQ5iWOEortxc1euoqGWZLI9QfIiUshd/AsxmZP5vjc49Gom4g2JQnsZU0EYfvNG0tlHgi9NVRSsl9EGJY8QPmckAtqIRBtDc4Gb9ghTJnb8blbusUZzNpmLmFpfayY4vXd5t69IHa6lABsz5491NfXM2bMmCPuSE9EDPICgUAQO7aGBhISE3t9zhRjh0AgaC/2F4Stq1yHd7+3wLqTIEzkywgHi4W3cDeFp50GajUDf/wBXUZGJ/VSIGjJryW/8sdFf0RG5t5p9zJ74OzO7tIBqXZX8+SaJ/ls12eAUubhutHXceGwCw9dlqGHU2Qr4pfSX1haspSV5StxNyn3rlapGZU6KuwONixlGGpV57kQirFDQcRBIBAIYkPkywgiFgJBz8XnCVBbGhKFlTqpLXFQXeLA64xevk5n0JAcdgqLOIbFmXv3dVEjIl8qHNKt/sOPKPvnP0GWSTjrLLLuuxeVJiIoCgQltpXbWb2nljX76lmzp5bSBheofag0LlQaNyq1i2RrkD5pkJEokWAJoNN5cAdcJBoSFXFXMEj60udIaygjXR9P/PnvouozsSNDASjO2h+uLeGuzzbj8AawGLTcdcYI5ozNaXHvVZIlqt3VYWFYib1EEYjZ9lFcvZlK2R/1O/pY+3DZ8Ms4Y+AZGLXGQ3fKXRdFGLZHmdtKDr6vWgeJfZTJmgXWDLBkgrXJZMkEXVyMEeq9yJJMQ5WbiiaisKoiO1KgpYTHaNWRmmshJddKaq6F1FwLiZkmUT6ym9MpArDdu3fz8MMPo1KpmDlzJmeffTZ//OMfWbBgAfPmzaOmpoZrr72Wfv36HXGHehJikBcIBILYETlTQcRBIBB0FIctCMuaQP/4riMIE/kywsFiUfHoo9T+9xUsxx9P3gvPd1IPBYID8/z65/nPuv9g0Bh467S3GJI8pLO71Ax/0M/b297m+fXP4/Q7AZg9cDY3jL2BVGNqJ/eu6+ENellbsVZxBytZyq6GXc22JxmSmJozlWNyjmFG3owDlstoL8TYoSDiIBAIBLEh8mUEEQuBoHchyzKuBh81ITFYbYmTmlIHtWXOqKIEAHOCPiwGS8kxk5xjITnTjEbXu4QJIl8qxBKHhs+/oPS22yAYxHjKqey95hbWlNhZs7eWdfvqcfqCzdpr1CqGZVkZ3zeZcX2TGNc3iezEGIRO9gp4+1woWw9aI5zzXxg6qy1+5mFTVOvixvfWsXqvUgLy1JGZPHDWUSSZ9Qff0VEF714ExSvxaLSUnng7xX0mUGwvZnfDbr7a/RU2nw2AREMiFwy9gAuGXECKMaV1HfV7oH5vdOew+r0QPLhDWZi4BEUgZsmILhRrXK/v2HsDXZ1gQKKmxEHFblvYLay+wkU0VY9aqyI5yxwShFlDAjEhyu1OdIoA7LHHHuPmm28G4Pvvv+eDDz5g/vz57Ny5k/79+wPw8ssv84c//OGAx9izZ89hd667C8rEIC8QCASxI3KmgoiDQCDoLGIRhKXEpSiCsMwJjM8c36mCMJEvIxwoFrLfT8HxJxCsqSH3uX9jPfHETuylQBAdSZb48/d/5peSX8iz5vHu6e8Sr+8a/0//WvIrD616iN0NuwEYmTKSeZPmMSptVCf3rPtQ5igLu4MtL1seFtEBJBgSuGDIBVw49MLW35Q+TMTYoSDiIBAIBLEh8mWE3hILly/AN5vK+fi3Ety+IJdO6cvpo7LRiHJ3AgEAwaBEQ4WbmtLGEpKKc5i95iBlJDNMpOaYScm1hAViliRDl3nBsK3pLfnyUBwsDrIsU1znZvXeWiq/+Jpp7zyFRpL4JesoHp5wMQG1FgCrQcvRfZMYH5pG5yViNmhb1yGvAxZcATsXgkoNpz4CE68+wl/Z/Dd51q9H8nhRWyxorBbUVitqiwW1vrm4KyjJvPDzLp5cuIOAJJNuNfDouaM5bnBa9INXbIF3zof6fYqg6rw3YcBxzZq4/C4+3vkxb255kxKH4t5l0Bg4I/8MLht+Gf0S+rXZb0UKgq1UEYQ1FIO9XJkc5U0+V0Agel6IiiG+iSCsiYPY/p8Nlrb7Hd0Mvy9IbamT6iI7NcWKOLe62IHfE4za3pJsCAvCGkVhCalGUcK3C9IpArAPP/yQOXPmAIobWH5+PvPnz28m+DqYAKyhoYFFixYdXsdUKk466aRuPTiKQV4gEAhiR+RMBREHgUDQVfAFfWys3siq8lWsLl/NuqoDC8Km507n5L4nE6ftOFtvkS8jHCgWtoULKfnLX9GkpjLoxx9Q6cSbX4KuSb2nnvO/OJ9SZykn5J3A0yc83akPA4rsRTy66lF+LPoRUNwQ/zb2b5w58MxOLV/Y3fEH/ayrWsfSkqV8u+dbih3FgHJT+sz8M7l8xOX0ie/Trn0QY4eCiINAIBDEhsiXEXpyLCRJZsXuWj5cW8zXG8taOM4MSDPz1xmD+P1oIQQTCA6Ezx2gtsxJdbGD2lApyZoSB15X9DKSBpNWEYPlWkgNicKSs83oDJqo7bsTPTlfHg5N42A0W9hcamPN3jrW7K1l9Z46Ku2Re4yTyjbzj1VvoJOC7B18NDU3383YQRkMzrC2bd4NBuDLG2HtG8rytBvgxLtAfWTX+Z4tWyh/4AHcq9dE3a7S6xUhmNWCxmINf7apDSwucVPq1+DSGRg9JJfTpgwkLiEetcWK2mJGU70O9Xd/Ry3bUaUMgIveh9RBB+xLQArw/b7veW3Ta2yq2aR8PyqOzzueK0ZcwdHpR3fM/RZZBk+94r5mL1MEYc2EYk3W+12xH1dvUYRgphRQaRQxn0oVmu//OTShirJeFaVNDMfSGWH0hQf9G3QksiRjq/EogrBiO9XFiijsQKJcnUFDSo6Z1Fyrkn9DwtyekHu7M50iAHvppZe4+mpFBTt+/HgAHnnkEWbMmBFu8+ijj3LLLbcccYd6EmKQFwgEgtgROVNBxEEgEHRVDiUIi9fHM3vgbM4bch594/u2e39EvoxwoFjsu/ZanD8vJuXqP5B+002d2EOB4NBsrt7MpV9fil/yc+O4G7lq5FUd+v2yLOMKuHh106u8uulVfJIPjUrDhUMv5Lox13UZV7KeQlAK8kPRD7yy8ZVmN6VP6nsSV464kqPSjmqX7xVjh4KIg0AgEMSGyJcRGmNRff8UUqbPgWFndJmHn61lT7WTj9YW89FvJRTXucPr+6aYmDM2FxXw36W7qXf5ARiQaub6GQM5Y3Q2Wo14KUAgOBSyLOOs9yqisFJFHFZT4qC+3IUkRXk0rYKENKMiCGviFhafEtetHGvE2KHQGIeznlzIlho/Hr/UbLtWrWJETkLY3euosm04brkR2evFPHUquc/9G7UxhvKOh4ssw+LH4Mf7lOWRc2D286A1HPahAjU1VD31NPUffACyjCouDl1ODpLDgWS3I7kOQ9gUA2qLGbXFqriLhYRkGqsFtdmC+ZhjiP/dyeG2siyzpmINr29+nZ+KfwqvH5U2iitGXMGMvBlo1F1A9CPL4LUpgrD9HcTsZc2FYj5HZ/dWQa2DydfBcbeCwdrZvYmK1x1oJgqrKVYcG4MBqWVjFSSmm0jJsZCaZwk7hpkTe65TY1ejUwRgu3fv5oMPPuC9994jOTmZBQsWsGjRIlavXs2ECRNYtWoVM2fObCYIOxQ2m63ZD/jwww/Jz89nzJgxrfohXRExyAsEAkHsiJypIOIgEAi6C42CsBVlK/hs12dhe3GAqdlTOW/IeRyXexxadSut2Q+ByJcRosXCX17OzhkngiQx4OuvMPTv38m9FAgOzfvb3+fe5feiVqm5dtS16DV6AlKg+SQH8Af9BGRl2S/5o7ZputzYplnb/doE5eZOD5OyJjFv4jzyE/M7KRq9A1mWWV2xmlc3vcqSkiXh9eMzxnPlyCuZnjO9TW84irFDQcRBIBAIYkPkywiNsVg1NJ9+I90kD3GgzhoKQ0+HYb+HrNGKU0YXx+bx8+WGMj5cU8zqvXXh9VaDltNHZzFnbC7j+iaFzz/sHj9vLNvLS0sKw0Kwfikmrp8xiNljhBBMIGgNQb9EXYUzVMLMSU2xneoSJ26bL2p7XZyGlOxGtzBzWBimN7bP/aYjRYwdCo1xyPvb+6gNJhKMOsb1TQpPo3MTMeqbC5CcK1ZSdN11yC4XpgkTyH3+eTQWc/t0cN078Nn1IAWg7zFwwf/AmBTTrrLPR+1bb1P93HNIDkWUFD9rFuk334QuKyvSLhhEcjqR7HaCDieSw07Qbkfa/7PdTmlZDVsLStG6nZgDHgZQi9bjJOhXgxTb+Jp08cVk3Da3RQWAwoZC3tj8Bp/v+hyfpPx/lmvJ5bIRlzF74GyM2nYQ2rUHXntEKOaqBVlSJmRFSNa43Oxz4/b9tx2sTeP2KG3K1sPOUNU7SybMvAdGndctzoGkoER9hZvqklAJySLFLcx1gNxrMGtJzbWS0c9K9qAksvITumze7e50igDsQOzevZu1a9cyduxY+h/mA4XbbruN+fPnM3PmTGbOnMlJJ53EokWLDlhGsjsiBnmBQCCIHZEzFUQcBAJBdyQoBVlaupT3tr/HkuIlyCiXGBmmDM4dfC5zBs8h1Zjapt8p8mWEaLGofv55qp5+BtP48fT935ud3EOBIDZkWeafS//JZ7s+67Q+5FhyuHn8zZzY50TxpmMHU1BXwGubX+Orwq8IyEqpmIGJA7ly5JWc2u9UdJojL2Mrxg4FEQeBQCCIDZEvIzTGYuXAQVg0GnTmIOmjG7DmeZRnngl9YFhIDJY3CbqCq0iIoCSzpKCKD9eW8N3mcrwh9wu1CqYPSmPOuFxOHp5BnO7AfXZ4A7yxbM//s3ff4W2Vd//H39rDsuXteDt29iB7sElIWIVCgCSFslcZbZ+WMjt+7VPaMvt0AmW0UAoNGQRo2VkQNtl72k68tyXbkjXP+f1xbMmOnURxnP19XZeuIx2dpTvOfds+H39vXlhZQnNHECw/xc73pw1i1rhsCYIJ0Q+8LQEaK7UqYVo4rI2mag9KqPfb2PEpVq1iTUe1sNQcBwlpNvTHuFqYjB2aznZ4cdlmzhmZR1GaI6Z/G+/adZTfcQdKWxu2sWPJfeF5DPFHqMpS8XKYfwMEWiFtGHx3ISTmHXCXtk8+ofbRxwjs2QOAdcQIMn72U+wTJhz25TR7Avx60ZfM2v0zzjFsQkGH+4yf4Tz7+ygeT0dgrA2lra1bkCywZw/N/54HgH3KFLL/+AeMST3DbA3tDczbPo/5O+bj9rsBSLQkMnfoXL4z7Dv9/rvbk9bOj+CDB6GpRHudOxUueUILw5+AvC0BGivaqK/oCIZVtNFc40Xdp1KjTgepufFkDU7UHoMSsToO//c04hgHwPbs2UNycnK3E7vdbpxO50H3bWlp4fnnn+e+++7rtn7ZsmUsWbKERYsWceedd/Z4/0Qmg7wQQsRO+kyNtIMQ4kRX0VrBop2LWLxrMc1+7S+qjToj5+efz9yhc5mYMbFfQhXSX0bt2xaqolA88wKClZVkPf4YzssvP9aXKETM2kPtvLT5JcpbyzHqjdpDpy1NelN03T7vdX3/QNsd7Bjx5nj0OrmBdyzVeGp4bdtrLNy5EE/QA0C6PZ0bRtzAVYOvwmF29PnYMnZopB2EECI20l9GdbZF2evz8T37LKGaGgDs+Q4yRlVjjW+NbhyXBkMv0aaJHHgOGM3H5Jp31rbyxpoK3lxXSV2rP7J+cLqDqybkMGtcNhkJ1kM6pscf4l9f7eX5lSU0ebSKGXnJHUGw8dmYJAgmRL8KhxXcte00VrZFppBsrGyjrdnf6/ZGk57krLjoFJJZcSRnObAnHL1+SMYOzeG0Q/umTZTdehtKSwvWUaPIe/EFDImJR+ZCazbBa7O1aQYdA7QQWOZpPTbzl5RQ++hjeD7VKlcbUlJIv/fHOGfNQqfvp76/qRT133PRNezAq1r4UfBuvjCdzq++PZKrxmcf8PeprcuWUXX/AyheL6acHHKeeRrrkCG9busNenlr91u8svWVyIwOZr2Zy4ou48aRNzLQefCiP2FFpbShjbpWPyaDHqNeh8mg154bdJj02tJo0GE26DF22cZwnE7pqqoqwbBKWFEJKQphpedrgOxEG0Y1CF8+rU0nGvSATg8TboLpvwB78rH9IP0gFAzTXO2lvryVmmI3lbtctNS399guJTuOrEGJZA1JImtw4lHta08mxyQA5na7Of/881m7di06nY4ZM2awaNEi4uPjcbvdLFiwgIceeojGxsb9HmPu3LnMnz//gOd54403uOqqqw79UxynZJAXQojYSZ+pkXYQQpwsAuEAH+39iPnb57O+fn1kfZGziDlD53BZ0WXEm/v+F3zSX0bt2xaeL7+k7OZb0DscDP50JXrbCVLKXQghumgJtLBwx0Je2/Ya9e31AMSb4pk9dDbXDb+ONHvaoR9Txg5A2kEIIWIl/WVU17ZwGI00/v0fNP7976g+H+h0OM+fRPokPcbqZeBzR3e0JMCQC7XKYINmgPkITeXVodkT4D8bqnhjbQUbK6LXkWQ38e0xWVw1IYfR2c7D/qMkjz/Eqx1BsMaOIFhuso17zhvEVRNyJAgmxBHm8wT3qRbmoamyjVBQ6XV7q8OkhcEy40jOdmjLrDiscf1fvUbGDs3htoNv2zbKbrmVcHMzlqFDyXvpHxiTj1Cwxl0Br14N9dvA7IA5r8Cg8wEIt7TQ8PTTNL32bwiFwGQi+YbrSb3rLgyOvv9xUg97v4T53wVvI8RnUvOtl/n+CiUyXfHFowbwu1mjSYrbf8DGt3MnFfd8n2B5OXq7nawnHid+xoz9bh9WwiwrW8bLW15mU8OmyPrzcs/jppE3MT59PDqdjrCiUlzfxqYKN5sq3WyudLO1ugVvINynj6rTgUmvx2TQYTR0LDsCY6Yurzvfj4bLotvrO64rpKgdQS2l2+tQWNnve1qoS+myrRbwUmIsmWQ16RmRmcDobCeTU3ycvefPJOx+W3vTlgTTfw4Tbj6uqqH2h7ZmP1W7m6na5aZqZzPNNd4e2yRm2MkaolUHyx6SiCPp0IL2p6pjEgCbM2cOkyZN4uqrr6a5uZn58+ezePFilixZQkFBAS6Xi+TkZBSl94EVtBDZCy+8EKnwtXz5ciZOnNjtQyxfvpzp06cf9oc6XsggL4QQsZM+UyPtIIQ4Ge1o2sH8HfN5p+Qd2kPaXwvZjDYuLbyUuUPnMjR56CEfU/rLqH3bovLen9Dy3nskXvMdMn/5y2N9eUIIcVgC4QDvlrzLS1teotRdCoBJb4r8dXKhszDmY8nYoZF2EEKI2Eh/GdXZFqWVdeRnpqLT6QhWV1P31O9pefddAPRxcaR+73aSzilAv/sD2P4utNVGD2K0QtH5WhhsyIX9ViEjEFL4eEcdb6ytYPn2OoJh7ZaXUa9j2rB0rhqfw/Rh6ZiN/R/K8gZCvPZVGc+tLKahTQuCZSfa+P70QVw1PueInFMI0TtFUWmp714trKnKg7uhHfZzJ9zuNHcEwxwkZ3cExDLjMNuMfb4OGTs0/dEO/l272HvzLYQbGjAXFZH30j8wpaf385V2aHfB/Otgz6egN6J+64+4dluo/+MfCTdrISzHtGlkPPgA5oKC/j33htfhPz+AcAAyx8I18yAhi7Ci8rdPivnDkp2EFJX0eAtPzh7DuUP2/8dQoeZmKn98L96vvgIg9Yc/IPWuuw4YfFZVlXV163hpy0t8XP5xZH2SoQir93zKy4toD/b8T2QzGchKtEZCVSFFIRTWAlehjuBV55h8IjPqdRg6QmjBUBh/L5/pbNMOHrG8QkFI+52FL3UkpkufwlBwxtG+3KPG2xKgereLql0uKne5aKxs69HXJqRao1NGDk4iIdXaLzODnGyOSQDsySef5P777++2zuVy8dBDD/HQQw9RUFCAwWAgHD5w0tPtdqPT6UhISODJJ5/kueeei1QUKyoqori4mGefffbwPtFxRAZ5IYSInfSZGmkHIcTJrDXQyn+L/8v8HfMpcZdE1o9NG8vcYXO5IP8CzIbYSkVLfxnVtS3s4TC7zzkXNRik4I1F2EaOPNaXJ4QQ/UJRFT4p/4SXt7zM2rq1kfXn5Z7HLaNuYVz6uIMeQ8YOjbSDEELERvrLqM62yP3RAuwOB1mJNrI7HsOb9jD6zb9jK9kJgDE3lwEPPoBj2jR0lath239g+zvQvCd6QJ0BBp4Nwy7VHgmZh3Q9qqqypaqFRWsq+M+Gqsh0jACjshO4anwO3x6TRYrD0h8f/6DaA2Fe+3ovf/ukhIY2bWq67EQbd08rYvaEXAmCCXEMBQNhXDVeGqu0QFjno7XJt999HMkWUrI6KoV1BMOSMuMwmQ9e0UfGDk1/tYO/tJSym24mVFuLKT+P/JdfxpR5aGNGzEJ+ePv7eJa9Re1aJ36XViHOXFRExkMP4Tj7rP49n6LAit/Cp09pr4dfBrOeB7O922abK938z+vrKK73AHDTGQU8dPEwrKbevx7VYJDax5+g+dVXAYi/8EKyHv0denv344bCCrvq2iJVvTZVutnWsBs1YSUm51p0+pB2mYFkcJ/DMMd0TstOZ3S2k9HZTgrTHAedzlFV1Uj1rWC4IyCmaMGwUEdAbN/gmMfvpd5XT6OvjiZfA82Belz+BlzBBloCjbSGGggo7dgNicSbkok3JZNgSiHRnILTnEKiOZUkSwoptjQcpjgMeh1GfbSa2IFedz7X+dpR95QS2L2LwO5i/Lt349+9m1B9PbqpZ7L3vMv4xlnApsoWtlS58QTCGAhzrWEZ9xkX4NRp1bFWWqexavCPGDhwUMxtdqLyeYJUF7up2uWiamcz9eVtqPuUVYtLtEQCYdlDEknMsEsgjOMoANb1vfHjx3PBBRccNADWG7fbzdKlS1myZAmrV69Gp9MxceJEZs+efcJXA5NBXgghYid9pkbaQQhxKlBVldW1q5m/Yz7L9i4jpGq/UEiyJHHl4CuZPXQ22Y7sAx5D+suorm0Reuttan/3OyzDh1P45uJjfWlCCHFErK9bz0ubX2JF+QrUjj8xHZM2hptH3cy03Gnodb3fZJWxQyPtIIQQsZH+MqprAExvsfd4X6cqnF++hpu2vk+KrwWA3bnDWXXJDdiGDSXbaWUoeyls/Jjksg8x1G/tfoCcyTC8IwyWUrTf66hr8fHW+kreWFPJjtrWyPq0eAuzxmVz1fgchg6I758P3QftgTD//qaMv31STH2rFgTLclq5a9og5kzMwWI8uaaDEuJEFvCFaKr2dAmFaQExjzvQ+w46SEi1dZlKUqsclpRhx2CK/vwhY4emP9shUF5O2Y03EayqwpSdTd4/X8ack9NPV9rlPBWV1D35JK0ffgiA3qSQdvFQkn79Ojprz7Hv8E7mhbfuhK0dUweedS9M/wXoe/9Ztj0Q5rH3t/HPL/cCMCjdwR/njmVUtnO/p2heuJCaXz8CwSDmoUPx/fIxtoTj2NQZ9qpuwR/qObtbnNnA0GwdpqQvKQ18RHtYG2+dFidzh87lmmHXkGpLPeSPrKgKTb4m6rx1kUett7bH69ZA68EPFiOb0Ua6PZ1UWypptjTS7Gndlqn6eBKr2zCUVhEo3o1/lxb0ClZWHvTYlqFDSb7heuIu+RZ7W0NsqnSxqaKFPeV7uaj2Ba5mOXqdSptq5S+hWfwjfDEms4WRWQmMzk5kdI42jeTA1JMzFBbwhagpdlO5y0X1Lhe1e1pQ9qmeZos3dasQlpIVh+4kbIuDOSYBsHXr1rF06VIee+wxXnjhBa688spu7y9atIg5c+YccArIWHUGwkpLSyPTRZ6oZJAXQojYSZ+pkXYQQpxq6r31LN61mIU7F1Lr1aYH0aHj7JyzmTt0LmdmnYlB3/OX5NJfRnW2hcvlovH6G/Dv3EnGL35O8ne/e6wvTQghjqhSdyn/3PJP/lP8H4JKEICChAJuGnkTlxZdisXQveqHjB2aSDu4XCQ493/DQAghTnUybkR1tkVdYxNe1Uylq53K5naqXD4qXd6OZTuNDS5mbV3Klbs/wayECKPj/YFT+dewi2ixxEWON8LSwJW2dZynfsUg/7Zu5wqmDscw4tvoR3wbMkbiCyks2VrLG2srWLmzns5iEmajngtGZHDVhBzOHpSK0XD8VNnyBcPM+6aMZz8upq4jCJbptHL3eUXMmZQrQTAhjmM+T7B7MKxaC4a1twZ73V6n15GYbiO5IxhmSlAZf96gU37s6O8xNFhVxd6bbya4twzjgAHkv/xSv03FqHi9NLzwAk3/eAnV7we9nsRpo0lzfoTRHNamL57zT7D0U8C4tQbmfQeq1oHeBN/+M4y9NqZdP9lZz/0LN1DX6sdk0PGjGUO489yibgGiQEhhZ20rmyvd1Hz+NWe88iTx7a24zHH8dvINbE6NBq0dFmNHIMnJ6Bwno7KdDEyJQ99xPG/Qy3+K/8MrW1+hvLUcALPezGVFl3HDiBsoTCwEwBfy7TfQ1fm8vr2ekBKK6XPajDYy7Bmk29O7PTrXOUwOGn2N1HvrqW+vjy67PPcEPZHjmYIq2Y2Q26CS06CSWw85DSrpLtjfdw+BRDuh/CwMhfnYhwwjcdho4hNScS1ahPutt1Hb2wEwJCWROHcOSddciylDm6I0rKhUbf0C+7KfktK8HoBSNZP/DV7Px8rYbueJMxsYmaW1f+e/Q9d/g/6kqirtwTBt/hAefxiPP9TxPNTrOk8gjMmgw2kzkWA1aUubkYRur03EW4wHvd5gIExtaQtVO5up2u2ipqSFcLB7tshiN5I5SAuEZQ5ykprtwBhD5cVD/fwt7SFafUFafEFa2kPa0heipT2ITgcjs5yMyXGSaI9tppLDdUwCYJ3WrVvHuHG9l9QvLS1l4MCBh31BJxP5AVEIIWInfaZG2kEIcaoKKSE+qfiEBTsW8EXVF5H12Y5sZg+ZzazBs0i2JkfWS38Z1dkWNV98QdPNt6CzWBi88hMMclNfCHGKaGhv4LVtrzF/x/zIXwunWFO4bsR1zB4yG6dF6w9l7NBE2uGnKSQkpYA9GWxJ3R/d1iV3X2eyHeuPIIQQR4WMG1GxtoWqqjR6AlRuLSb49J+I+3olAD6rnQ8nXsqinKk0+Lrf7MugiZmGNVyk/4ap+m0YddH3awyZrA0PpC1kwo/2SEpIYHBWCoNz0rDZ4sBoAaO1Y2nb53XH0mTrvq6XPzI6EnzBMPNXlfPsx8XUtGjTzQ1IsHLXeUXMnZS73+m7xJEXCiuEVVXCeCJm3pZAl2BYW+S539s90NIe8HD/S98+5ceOIzGGBmvrKLv5ZgIlJRjSUsl/6SUsgwb1+XiqqtLyzrvUPfUUoVrtj1LtkyeT8bOfYh06FLa/B4tugVA7DDgNvrsQ4gcc3oeo3qiFv1oqtZ+z5r4KBWce0iGaPQF++uYm3t9cA8CkgiSuGJfNlqoWNle62V7dSiAcHUvTvM38v69fZpC7krDewMYrb8Mxew6jshIoiDFoFFbCLC9fzsubX2Zjw8bI+oKEApp8TbQEWmK6dh06UmwpPQJdvQW8+jI1oBIIECgpwb9rN207t+HZsY1gcQm66jp0Su+RGLcdylN1VKRCeZqOilQd5anQZu95fpvRxumZp3NB8hmM+6YJz+sLCVVVa28ajSRceCHJN96A7bTTOi5IgY3zYcn/A08dAFUZ57Ew9W4+bYhnS1UL7cGeM+w5LEZGZCVwWkcgbGSWE7NBrwWzAl0CWv4QbR2hre5hro513bYN4wmEiD0ZFDudDuItRpz2LsGwLoGxzqBY5/oEm4l4k55Qg5+WsjbqS1qoLnYT9HdvC51eR9IAO2m58aTmOkjNcWBJt+FDpcUXpLUjtNXi6wh0dYS5uj/vCHi1a89D+/k66M3A1DjG5DgZk5vImNxERmQmHJHv3Y5pAEwcGvkBUQghYid9pkbaQQghYG/LXhbsWMBbu9+K/ALBpDdxYcGFzB06lzFpY2htbZX+skPn2LHjgQcJv/02CZddRvaTTxzryxJCiKPOE/Twxs43eGXrK5GqknajnauGXMX1w68nTomTsYMuP3M8FE+CpQ9/VWy07hMKS+w9KNZ1nS0JTNZ+/yxCCHEkye9oovraFp5vvqH2d4/i374dAPPAgSTedx/NoydR6fJRFakk1k6Fq5225lpGtn3JBbpVnK3fiFXXe8Wdw6Y39h4WM1mjr+0pkDEKMk+DAWMgLqXPp/MFwyxYrQXBqt1aECwjwcKd5xZxzeQ8CYIdRXWtPl76fA+vfrmXVn+IlDgzmYlWMp02spxWMhNtZDqtZHUsMxKsmI6j6nLi+KKqKl53gMaO6SObqjxUlNZy46+mnfJjx5EaQ0ONjZTdfAv+nTsxJCeT94+/Yx027JCP075pM7W/+x3t69YBYMrOJv3BB4ifObN78KhiDfx7DngbwJkH1y2CtKF9u/jt78Ebt0HQA6lD4Nr5kFzYp0Opqsobayv51X+20ObvWVUrwWpkVLZWUWpUtpNRKRZMv/8tre+/D0DiNd9hwE9/is5kOuTzrqtbx8tbXubj8o9RicZMOqdb7C3Q1fk8xZaCSX9o5+z1OgIB/Hv2ENitTdnYOXVjoKwMwj0DVQAGpxPz4EFYBg3CMmiwthw8iKDTToO3gfr2eura62jwNvS63HdqSpPexBkZU7iiOpuBH24hsHZ9tC3GjCHphutJuOACrY19LfDJ4/D130AJgcECZ/yA8Jk/ptitsrHCzeaOqTm3VLnx7VMZq7/pdBBnNhJnMRBnMeKwGDte91wXUhTc7VqAyt0Rtur6urdpRA+VxajHaTWRpzeSE9SR1g5xHgVTsPcYU7Neoc6gUmtQqDUo1BkUvIcwVBv0OuKtxo4wmpF4S8fSaiIQUthU6aa0wdNjP6Nex/DMBMbkOhmbm8TYXCeFqY7DrtZ23AbAFi9e3GNqyFOd/IAohBCxkz5TI+0ghBBR7aF2Pij9gAU7FrC5cXNk/dCkoVyWcxk3TbhJ+kuiY8fqMWOx+3zk/fOfxE2ZfKwvSwghjpmgEuSD0g94actL7GreBYBRZ2R6+nT+7+L/O+XHjsjPHHs3k2AMQntzx6OpY+kCb9M+6zoeMU7Z0SuTHRwZMOQiOG02ZI3XfvMshBDHKfkdTdThtIUaDuN64w3q//gnwk1NAMSdfTYZDz2Ipaiox/ZhRaWu1UdNfQOhnctIUxvIi9ejD/sh5INQ59K3z2s/BNu7v+663eGMYQAJ2VoFmMzTtOWA0ZCYd0hjmT8UZsHqCp5dsZuqjiBYerwWBLt2igTBjqS9jR6eX1nCwjUVBA7hZrVOB2kOC5mJHQExp42sjsBYZqKVLKeNtHhLt+nXxKlNxg7NkWyHUHMz5bfehm/rVvROJ3kvvoht9KjY9q2vp+4Pf8S9eDEAOrud1DvuIPnmm9BbLL3v1FQCr14NTcVgdcJ35h1a1S5VhS/+olWBQoXC82D2P7U/pDlM5U1eHv9gOy5vsEvgK4G8ZHuPClqqqtL4/AvU//GPoKrYJ08m+09/xJiU1Ldzt5RT3lZOui2d9Lh04k3xfaradSi8a9fR+OKLtK1cCaHex3V9QkJHyGtQJORlGTQIQ2rqYV2fL+Sj1F3KsrJlLNm7hBJ3SeQ9o87It0IjuGS1StKnmyGoBdiNGRkkXXMNiXPnaO1cvwPefxBKVmg7JuTABY/AyFmR7ydCYYXieg8bK1yRUNi26lYttNUZzLIYugS2jDi6vHZYokEuhyW6zm6OvraZDPsNLSmKwt71Kyld/h+Ca9ZjCutwDMghPWcICZn5GNNSMaZqD0NqGgGzhVZ/KFJxqzMc1tJLWCz6fijyer9JJRXiVMgI6yOP9JAOp9p70ito1hFKMKFPNmNJs+IYYMOZaotMV5lgM0VCX3az4aBfCy5vgA0VbjaUu9hQ7mJ9uYtGT6DHdvEWI6M7q4TlJDIuL5GMhEP747fjMgDW0tLCo48+yqOPPnrYF3QykUFeCCFiJ32mRtpBCCF6t7lhM/N3zOf90vfxh/2E28Nsu2ub9JdEx45vBg0mqXAgRR98cMR/4SKEECcCVVX5vOpzXt78Ml/XfC1jR4c+/8yhquBv7R4M83YJjXUNi+0bIFN7udGaXAijZ2uP1MH99vmEEKK/yO9oovqjLcKtrTQ8+zea/vUv7caowUDStdeSds/dGBIT+/eCe72AEIT9XYJi+4THQtHwmBrwQUslutpNULNRu/nfG2uiFgTLHBMNh6UMBoPxgJfiD4VZtKaCZ1YUU+lqByAt3sL3zinku1PysZklCNZftlS5+dsnJby7sYrOWZ/G5SVy93mDmJCfRLW7nRq3jyq3j2pXO9VurTJdtdtHjdvXbRq1/THqdWQkWMl0WhnQpXpY17BYSpz5sCuEiBODjB2aI90O4ZYWym+/g/YNG9A7HOS+8Dz2ceP2u70SCND8yis0PPMsitcLgPPyb5N2772YMjIOfkJPozZ1Y8U3YDDDrL/BqKsOvl8oAO/eC+v+pb2ecDNc8iQYDr8KVl+1Ll9B1f33o3g8mLKzyXnmaW3Ky+OUqqq0ffIJjS+8SPuaNZH1eoejW8DL3FHZy5iedlR+L1rsKmbJ3iUs2buEnc07I+uTPDpu2DmAyV81YXJpVaR0FgvOb19G0nXXYx0yGLa/Ax/+FFxl2k4FZ8PFT0DGiCN+3ftSFIXyHasoXvomvq++JnVbLfHe2ONDOpsNY0qKFgpLS8WQ2hkQS9snLJaK3mze59wqbYFQNCDWJRimKGq30Fbnc1NIpaXGS31ZKw3lbdSXteKq80Ivl2yJM5KWG6898rRpJBPT7ej6MB6rqkpFczsbKlwdoTAtnNfbFJ4DEqyMydVCYWNzEhmd4yTeuv//88ckADZx4kTWdZRA7I2qquh0OsL7Kal3IMuXL2f69OmHvN+JQAZ5IYSInfSZGmkHIYQ4MLffzdu73+a19a/x0XUfSX9J9wDYwPvuI/V7dxzrSxJCiOPOloYt/O2bv/HXb/31lB87jvrPHIoCgVYtFFa3DTa/Advf1W60d8ocowXBRl0FCVlH/pqEECIG8juaqP5si8CePdQ+8SRty5cD2pRMqT/8AUlz56IzHjg41d9Czc0E9uwhsGcvgdLSjud7COzdi85iIWnuXJJvuB5jvAVqN0P1Ri0QVrMR6raD0ssUlUYrZIzsUi1sjHZD12TrsWkgpPDG2gr+unx3JAiW6rBwzzStIpjFKEGwvlBVla9Lm3j242I+2VkfWX/e0DTuOreIyQOTYwoHKIpKoydAtbudKpePanfPgFhNi4+wcvAb5WaDngFOLSSWZDdHpk1T1eg96+jdWjXyXO34PJ3Pe+4TPbe2PnrcfdeZjQZyk2zkp9jJT4nTlslxEjjsZzJ2aI5GO4TbPJTf+T3aV69BZ7eT+7dniZvcvSK+qqq0rVhB7WOPEyzTwjbW005jwE8fxjZ27KGdMNiuTeG4/R3t9cxH4Iwf7L8SpLcJFtwAez4FnR4u/B1MufO4qILs372b8rvvIVhWhs5uJ+uxR0m44IJjfVndqMEgLe+9R+OLf8e/S6vsjcmE8/Jvk3LjjZgHDTpu/gB2j3sPS8uWsmTvErY2bgXAGFI5Yxtctd5CZoU3sq196lSSb7gexxmT0X31V/jsD1oYXWeASbfBtJ/2S3W4/VJVyresYNeH8/Cs3UzyLjfJLd3HMZ8JqrIUwgNCeGwqjUETwXYDTi8ktqkkeiDRA7aeBbEOSO90RgJhkUckNJaGMVULkhmSktAZYh+bAr4QjRVt1Je3UV/eSkN5K02VHpRexmeTxUBqjoPUvHjSch2k5cWTlBmHoQ/TPYfCCrvq2ljfpUrYztpW9j2tTgdFaQ7G5iZGQmFDB8RjNmrnPCYBsM7w17gDJGcfeughHnvssUO+gIcffvikrRwmg7wQQsRO+kyNtIMQQsTG5XaRlJgk/SVdAmBDhzH2k08wZaQf60sSQojjknyvrTku2sHfBjveg00LYfcyUDv/qFQHBWfB6KthxOVg69t0JEII0R+Oi/7yOHEk2sLzxRfUPvoo/l27AbAMHkT6Qw/hOPMQptWKgdLeTqCsjEDpHgJ7SjuW2iPsdh90f53ZjPOKK0i55WbMBQXRN0J+qN8eDYVVb9RCYoG2Xg6ih9Qh3aeQzDwtMs4FQgqL11bw1xW7qWjWgmDZiTb+Z8ZgrhyXjbEPNyVPRYqisnRbLc9+Usy6MhcAeh1celoWd55bxIisI1CFSFGpb/VT5W6nuiMk1hkW66wqVt/m3/8UV8eBjAQL+ckdgbCOcFhBShx5KXactmNXpehEJWOH5mi1g+L1UvH97+P54kt0Vis5T/81Mo74d+2i9tHH8HzxBQCGtFTSf/ITnN/+Njp9H/tVJQwfPAzfPKe9nvw9uOhR0O8TVmnYDf+eo00baXbA1f+AIRf29WMeEWGXi8p778XzxZcApN5zD6n33N33tukniteLa9EiGl9+mVBVNQD6uDgSvzOX5BtuPO5/71nRWsHSvUtZUraEjfUbQVUZWgmXrFKYslNF31FY0pSbS/J138V5/iQMn/8Otv1Xe8OeAuf/EsZdD4fzb6Gq4KmHum1U7fyMbV9/SuuOKhL3BMlo6r5pSA9VmSrBzCAZ+Q5GDh+BPXs0pA3Vgo9122it3cw61y5Wqx7WWC1ssZgxBomEwRLbVHLbYIjXQl7AQWowDrPPQMjlIdTYGJkWMyZ6PZYhQ0i5/TYSLr64T1+T4aBCU7WH+rJW7VHeSmNFG6Fgz8qeeqOOlCxHJBCWmhdParYDYx8C0t5AiM2VLawvb2ZDuZv15a5IyL8rs1HPyKwExuQkMiTJwHfPGX70p4BcvHgxV1555X7fX7ZsGeeff/4hX0Bfg2MnAhnkhRAidtJnaqQdhBAiNtJfRnW2xZZbbmXE31881pcjhBDHLRk7NMddO3gaYOtbsGkRlH0ZXa83weALtDDYkIvAbD9mlyiEODUdd/3lMXSk2kINhWhesICGP/+FsMsFgGPaNDIefKB72CqG4wSrqrRgV2kp/s5KXnv2EqquPuC+xsxMzAX5mAsKsAwciLmgAHN+Pv7iYm26qc7ZcXQ64i+4gJTbbsM2elTvB1MUbbrImg3dg2Heht63d+Z1C4QF00excIfCn5bvorbFD0BhWhw/mTmUi0cNOGJTCAYqKvB+9RWmvDxsp52G3mo9Iuc5UoJhhbfXV/G3T4rZXacF8MxGPXMm5nDH2UXkpRzb7yECIYXaFh/Vbi0Y1uILoSNaBEiHrsvzjqVOW9+5Mrpe122bfbftWgynszJO57m8gTDlTV72NnrZ2+hhT6MXd/uBb8gn2U3kpcRRkGInP7kjHJZqJy85jlSH+bipvnM8kbFDczTbQfH7qfjhD/F8shKd2Uzmb39L+4YNNM+bB+EwOpOJ5JtvJuWOOzA44g7/hKoKX/4VPvq59nrYpXDVi9FKj6UrYf714HOBMxeuna9VhjwOqaEQtU88QfMr2hSV8TNnkvXYo+jj+qGdDlGouZnmV1+j+dVXIwFtQ2oqyddfT9I138FwAv5/qvHUaGGwvUtYV7eOZLfCRWsVzl+v4vB1bGS3kXTV1SSfU4R5w++hYYe2Pmu8Nl1ozsSDn8jToFXbrt8OdduordzE5p17cVepOKoMZNfq6BqhUoCaDB3+QjupowYx4syLcBRMhNTBYLQc+FztLqjfjrd6Peurv2a1aydrgs1sNOkJ7TMmJIfDTPAFmKiPZ7y5gHzrEBRDOqFwAqF2PaGmJsINDYTqGwg1aI9wc3PXkpiYBxWRds89xF944WGHE5Wwgqu2nfpyLRDWUNZKfXkbgfZQj211eh3JmXGk5WtTSKbnx5OS48DUh1BYfaufjR1TR67rqBbW4oueU/F7Kf/jnKMfADtSpAKYEEIIkD6zk7SDEELERvrLqM62qPjPf8i+7LJjfTlCCHHckrFD09kOle+/T+aFFx5fN+5cZdoUkZsWaVVUOpkd2o2V0bOh8DwwHN0pwoQQpyYZN6KOdFuE3W7qn36a5tf+DeEwmEwkX3cdqXffhSE+HtCm8Qo3NBDYswd/aak2bWNn0Ku8/ICVJfROJ5aCAi3c1RnyGliAOS8Pva3n1IxdedesofGFF2n7+OPIOvvUqaTcdhtxZ55x8HFUVaG1JhoG6wyHufb2vr1jAMEJt/KaeiF/+qyWZq/2uUZmJXDfhUM5b0hav4zditdLy0cf4V78Jt5vvom+YTJhGzEC24QJ2CeMxzZ+PMak47MipzcQYv6qcl5YWUKVW7uTHm8xcv3p+dx85kDS4g9yE1vg8ga0QFiTl70NWiisrElb1rf6D7hvnNkQDYeldK8glplgPWKBxeOdjB2ao90OSiBA5b330rZ0Wbf18TNnkP7AA5hzc/v/pJvfgDfvhHAAcibBNfO16SHfvReUEGRPhGvmgeP4rlgF4HpjMTW/+hVqMIhl6FBynv4r5pyco3LuYGUljS+9jGvRIlSf1peb8vJIueUWnLOuQG85Ofryem89y8qWsWTvEjaVr+LMzWEuWaWQ06i9r+pAf8ZEcqdmYa97DV2wVXtj7HUw45fa15G3KRLy6rqs9zSyqSWOpnortiojedU6jPsUuqpPNeAZlk7K1DMYfultxA8o6NfP53NXsLHkA1ZXfsEa9242BJvx7zMMOMNhxvv8TPT5mRAIM8xZiCF9OKQPh/QRkDYMNS6LUFMTrjffpOnlf6K0tABgGTyY1HvuIf6Cmf1apU5VVVoafDSURyuF1Ze10t7a8/tKnQ6SMuNIy4snLS+e9DwtFGa2HtrvJ1RVZU+jNzJt5Kqdlbx3/4USADsRyCAvhBCxkz5TI+0ghBCxkf4yqrMtXI2NOJOTj/XlCCHEcUvGDk1k6uBBg0keOoSUm24i4bLLjr9frNduhc2LtGkiXWXR9fZUGDlLC4PlTu5e6kIIIfqRjBtRnW3xrX9/i/z0fDLjMslyZJEZlxl5nmpLRa87vBty/uJiah97HM+nnwJgSE4mbuoUAnvLCOzZg+Lx7HdfncWCOT+/e8iro7JXfwSYfDt30vT3f+B+910IaVUbLCOGk3LrrSRceCE64yGGk9tdULOp49ERDqvfHp0W2eLEP+E2XgpfxF+/aqbNr51zUkES9184jMkDD/1nP1VVaV+3DtfixbS+/0G0PXU6bKedRrCqilB9fY/9zIWFHWEwLRRmys09pgHyZk+AV77cy8tflEYCcmnxFm49ayDXTskjwSrTFvYHjz9EWZNWLWxvo5c9jdHnVe72A05raTbqyUvWqoblJNkwGvSoKqiokf1UVUWFbus7D6lt07Fun/c7XxN53fU40dcGnY7pw9L59pisoxpGk7FDcyzaQQ0GqXrwQVreex/L4MFk/PRh4k4//ciedM/n8Po14HNrU/d5O9I8o66Cy5+OVgU7AXjXraPiBz8k3NCAITGR7D/9ibgpk4/Y+Xw7dtL49xdpefc9LfwNWEeMIOX224i/4AJ0hkOvtHSiaGxvZEX5Cpbs+QjvF19x0aoQ44ujnWpbdiLxE50MNn2FwaiCOV6riN1WC0ADejZ642iot2KpMpJfqcOyTxErV6KR1tMKcJ55DsNmzMaZXXAUPyEEwgE2129idfkK1lR9xTp3Me1q94t0KArjfH4m+nxM8PkZ4Q9gMtm1qScHjCacNJqmL6poWvguSptW4dMydCip99xN/IwZR2y6UlVV8bj81O1tjUwhWVfWSntLoOfGOkjKsJOWH096XgJpeQ5Sc+MPKRTW3/2lBMBitGjRIhITEykpKWHixImMHz/+oPvIIC+EELGTPlMj7SCEELGR/jJK2kIIIWIj/aWmsx1WnzYGu1+r7GBISSHpu9eSdM01x1+VD1WFilVaEGzz4m7TaAXjc2kYeBnlWd+i2jqQlvYgLb4Q7vZgx/MgLe0hvIEQg9PjmZCfxISCJApT446vymdCiOOSjBtRnW0x/NnhGGy935A16U0MiBvQLRTWdTkgbgBmgzmm87WtXEnto48RKC3t/oZejyk7O1rBq6AgUtnLOGDAId0IVFUVT9CDO+DG7e94BNy0+Ftw+V34Qj50Oh16nR49+shza0Mb2e+sIWPZJgx+LXzkz0ik9vKpNJ8/Dp3FEt1Pp0dHl+c6HXq6PN/n2PpwCHPlGvI2vMGAuh3adE2mONrH3sTzwUt4ZnUr/pBW0uO8oWncd8FQRmU7D/pZgzU1uN96G/ebbxLYG608ZsrLI3HWFTgvvxxTVhaqqhKsrKR9zRq8a9biXbuGwO7iHsczpKZiHz8+EgqzDh926AG4Pqh2t/Pip6XM+6YMb0ALC+Sn2PneOUVcOT4bq+nkDQscb/yhMBXN7dpUkg1eypq87OkIh5U3eQkpx/TWczdjcxP55WUjGJd3dL7HlbFDc6zaQVVVAiUlmPPzj0q/BED9Dnj1anB3/NHKuQ/BeQ+dkH+oEqypoeKe7+PbsgWMRgb87KckXXNNvx1fVVXaV6+m4cUX8XyyMrLefvpUUm+/Hfvpp59yP6e5/W5WlK9g1Tdvk/beKs7dEMbaUXzKY9NRe5qR7NxamsMGahpsmKot5Fd0mUKyQ5vDiHtULvGnn8HgmVeRNHDYcdWWQSXItsZtrK5dzZqa1aytXUNbyNttG5uiMNbvZ2K7n4HBIGGdjiCgKHYSdyWTsrodg08b/9vy0yi9ehI14/MIqiFCSoigEiSk9Hwe6nh/f9t0XafX6XFanCRbk0m0JJJkTYo8TwgmY2qKJ1xnxl8Lrgo/XnfvobDEdHu3SmGpefFYbL33SRIAOwZcLhfPP/88DzzwAAAPPvggjz/++EH3k0FeCCFiJ32mRtpBCCFiI/1llLSFEELERvpLTWc7NFVUoHzwIU3/+hehmhpAq57ivOIKkm+8EUvhwCN2DYGQQqsvqAW1fKFIWEsLboU6gls9w1wer5+R/nV8S/cpF+pX49BFf+u9Tcnj7fAZ/Dd8OpWkHfD8iXYTE/KSGJ+fxIT8JMbkJGIzy01jIUR3Mm5EdbbFh9s+xK13U91WTbWnmqq2Kqo91dR56wh3Vq7aDx06Um2pZDoyyYrrqB7W+bxj6TA7IturwSDud94l3NgQqehlys1Fb+4eIlNUhdZAa7cQ176Brn3XtwS0dQe75gNxeFUuXKty8WqFhHZtndsO70/U8+F4HR7b4d10tepN5IcUCrwtDAyGKAjDgPyZvB+axcsb9ZGAzbdGZ/LjmUMYlO7otr/i99O2bBmuxW/i+eILULTgmM5uJ+HCC0m8cha2iRMPenM41NxM+7r1tK9dg3ftOnybNqHuM92mzm7HNuY07B0VwmxjxqCPizvoZ/QGvdS315NmS8Nusu93u911bTz3STFvra8kGNY+98isBO46r4iLR2ViOEWnGjxehcIK1W5fR9UwD1WudhRVy8Lo6FzqIq/R6Xpdr9PR7euz1/c7Xmvvdz0O1Lf5efnzPXg6woJXjs/mwYuGkZFgPaKfX8YOzSnXDq01sPIpbbr64Zce66s5LIrPR/XPfk7Lu+8CkDh3LgN+9lN05thC3L1RFYW25ctpfOFF2jds0FbqdMRfeCEpt92GbdTI/rj0E15roJWV296nZsFrDFq6i3T3/mM8Pque5uHZ2KdOYdD5s0gZOe64CnwdTFgJs6N5B6trVrOmdg1r6tbg9rsPuE9cu8ql3yhcvFrF3pG7KsmAhWfrWTNId0xCl2lqJnn+IWR480lqzcTuSsbg7X2ciU+zkpGX0FEtLJ7U3HiscaaTLwD20EMP8dhjj/Xb8dauXcvtt9/OmjVruq0vKSlh0aJFFBYWUlJSwh133EFiYmLMxy0qKuJ73/sehYWFFBYWSgUwIYToZ9JnaqQdhBAiNtJfRklbCCFEbKS/1OzbDmowSMsHH9L00kv4tm6NbOeYNo3km2/CPmnSYf8ieXOlm1e/2ssnO+txeYO0B/t+w72TXefnUutGLtN/ztTwWkxEp5Moc4yhOONianMvwuJMw2TQs6WqhTV7m9lQ7opUT+lk1OsYmZUQCYRNyE8i03niTNcihDgyZNyIOlhbhJQQdd66bqGwqrYqajw1VHmqqG6rxhf29XLk7uJN8T1CYUa98YChrhZ/izYdXB9ZDVYSLAk4LU6cZqe2tDixGW2oqoqiKqhoyx7PVRWdP8Cgz/Yyckkx8Y1aEixoMbD1zGw2TM+jJckc2VZRFRS6PO9yvM51npCH8tZyQkpov9echhk9uZQ3p6H40yCQxoVDTuP+GZNJr9qL+83FuN99D8UdvZFqnzgR56xZJFx0YUzhrP1R/H58mzfjXbNWqxS2bh1KS0v3jQwGLMOGoTttOK3Dc6gtSqTS0k61RwsO1nhqqPZU4/K7tM11BoYlD2Nc+jjGZ4xnXPo4Um2prC938ezHu/loa21k2sDTC1O467wizh6cekLd6BbHRl2Ljyc+3MGiNRUA2M0G7pk2iFvPGnjEKsbJ2KGRdjixqapK44svUv9/fwBVxTZxAjl/+hPGlJRDO04ggPu/79D4978TKCkBQGc247ziClJuuRlzQcERuPqTQ5uvhTVvPEdo/ltk7WwiYNLRPGQA1ikTGTjtctLHTTl6Ve6OAkVV2O3aHQmE1XnrMOqNmPRGjMF2jL5WjD4XRm8zca5WRq03MnijAVNQ+17Anaay51wn7vGFGJPyMSUVYLQkdBzD1G3Z9dFtnc6Iikqzr1l7+Jv3+9zld6GoSq+fxRp0kNaWQ5onl1RPLmltucQHep+6O+jw4nM08fD/3njsA2BPPfUU9913X2TZVy+88AK33357n/fvqjPgNWHCBPb9WBMmTIiEwkpKSnjwwQdZuHDhIR37ueeeo6SkhCVLllBYWHjQfWRwE0KI2EmfqZF2EEKI2Eh/GSVtIYQQsZH+UrO/dlBVFe+qVTS99DJtK1ZE1ltHjiT55ptJuPACdCZTzOcJhBTe31zNK1/uZc3e5l63ibcYSbCZtIe147nVhNNmIsFmJMEafc/ZuV3H6zizEX1nxY/2Ztj6H22ayD2fQWcQQG+Eoukw6mrInQyJ+QQU2FathcHW7G1m9d4malv8Pa4tO9GmBcLyEpmQn8zwzHiMhtinFhNCnPhk3Ig63LZQVZVmf3OPymGdy65hoL6yG+2R8JbT7Ow11LXv6wRzAlZj/1QDUkMhWt7/gMYXX8S/Y4e20mjEeemlpNx2K5ZBg2I+VkgJUdVWRam7lD0teyh1lVBat5E9LSU00fNmo9OjctYWlWkbVPIaovfGQmmJGC6ZQfac63AWDT3sz9iVJ+jRglytlTRt30ho3SYsW0pJ3lVHYlPPcbUmEXbk6Nieq2N7jo7KFECnw2qw9hoONCvpeFpyCXsLCLUXMHPQSO46b9BRm8ZPnFw2lLv41X+3sK7MBUBuso2fXTKCC0dm9HuQUMYOjbTDyaH144+puu9+lLY2jFmZ5D79NNbhww+6X7jNg2vhQppefplQbS0AeoeDpGuuIfmG6zGmHbhis+gu1NCAPiGhRxXUU5anASpWEdr2KU1vraBpdTNqSOvLrckBUke14sj0o0sdrP0eIGeS9kgfDvr+Cf8qqkKLv4UmfxMun4tmX3PkeZOvqUdgzNvqJ6ElXQuFteWS5skhwZ8KQHvAw/0vffvYB8A6p27s7wpe/UGn03ULgJWUlDB79uxuVcGSkpJobtZ++bRo0SJKOlKnXV199dUUFhaydOnSSNWwpUuX8vjjj7NkyZKDXocMbkIIETvpMzXSDkIIERvpL6OkLYQQIjbSX2piaQd/SSlNr/wT95tvofq1m7jGzEySr7uOxDmzMcTH7/f4Va52/v11Ga+vKqOhTZuXwajXcfHoTL4zKZe8ZDsJVhMOq/HITNnUUgWbF2thsOr13d8zWiFlMKQN1R6pQ1BTh1BlzGZNhYe1HYGwbdWthJXuvzK1mQyMzU2MVAgbl5dIol1+AS/EyUzGjaij0RbeoLdHKKyqrYqwGibRkkiCOSES3Eq0JHYPepmdmAyxh5SPJFVV8Xz2GY0vvIj3m28i6x3TppFy+23YY5hd5kDcJSvY88X/UVq1Bm+VhcQdZvL26jF05MICBvhmqI4Vp+nYnK9D7RhrM+wZFDgLGJgwUFs6BzIwYSAZcRnodd0DzmElTH17faRSV7Wnmuq26m6vWwIt+15aRHKLytAKlREVMLLKQHZNEN2+dyKd8VjHjSNh4iTaEq0U+yr5vG4XW9p202ZuJGBWCZjAbwS/CRxxSYzNGMf49PGMyxjHiOQRx82/eX9QVZWAEsAX8uEP+/GH/PjCPnwhH75w93X+sD+yXdf3I/vu532DzsC49HFMHjCZyZmTSbWlHuuPfVSpqsrb66t49P1tkfD/GUUp/L/LRjBsQP/1azJ2aKQdTh7+4mLK776b4N4ydDYbWY/+joSLLup121BjI03/+hfN/54XqQ5pTEsj+aYbSZw7F4PD0et+QhyOUH0dTU//nqbF76EGtAqq1uQAaaNaicv0R2eGNMdD9ngtDNYZDLP3XpkrthP7oa1Oe3jqoK02+rqtFjz1HevqUQOttOt0NBv0NOsNNBv0NPmd+OqKaG3M4fbXX5QA2IHsGwB7/vnnWbhwYbfQVlFREQsXLoxpKsfnn3+eiRMnRrZ98MEHefzxx3ts5/f78fujf9nQ0tJCbm6uDG5CCBGDU/UHAhk7hBCib07VcQNk7BBCiL46VceOwxk3Qs3NNM+bR/Nr/ybc2AiAPi6OxKuvJvmG6zFlZwPaDbUviht55cs9LN1WFwlPZSRY+O6UfL4zOZf0+P6psHJIGnbBpkWw412o3wnhnhVJANAZILkwEgrzJw5iu5LFl+4Uvq7wsWZvMy2+nlNxDUp3MDE/KTJ1ZGFqnExHJcRJ5FQdN0B+5ugv7Rs30vjCi7QuXUrnHIa28eNJue02HOedi05/6JUlfTt24l68GPfbbxJ2RUNYluQA3vGZ/LlwKitCBvSWOszWRqz2RnzK/sNaVoOVAmcBWXFZuPwuajw11HprCasHn6453hxPZlwmmXGZDIgbEHme6dCWqbZUjHoj4dZW2tdvwLt2De1r1tK+cSOq7+BTgnalgBYI63gETToMNjuWuATiHMkkONMw2+PRW63obFb0Vht6mxVdx1Jvs0We66zaa2N6Osb09CMydoeUELXe2kigsbKtkuq2aqo8VTT7mruHs0JaaOtwpjLtiyJnEZMzJzNlwBQmDpiI0+I8quc/Vjz+EH/7pJjnVpYQCCnodXDtlDzunTmU5LjDD/efqmOHjBsnt7DbTeW9P8Hz+ecApN59F6nf/35kHAuUl9P4j3/gXvxm5A+IzAUFJN96C87LL5fKVeKoCDU20vj3f9D8739Hvs+wDUwhdbKZOPMOdMG2njulDIpWCMudrP3BWHtTJLilBbm6hLq6rvO5ex5vP1QVgu1xeFuS8TZaaK8OE2jQ/q+0hcNM3r1LAmAHsm8A7IknnmDJkiU9AmDPPfccM2bMiOmYTzzxRGTax8LCwl6DY7/61a/43//93x7rZXATQoiDO1V/MJKxQwgh+uZUHTdAxg4hhOirU3Xs6I9xQ/H7afnvf2l8+WUCu4u1lQYDthkzWT35Ip6tsVBc74lsP7UwmRtOL2DmiAxMx8u0iUoYmvdAw06o364Fwhp2aMtA6/73c+aipg7BFVfILiWLVW1pLGlwsr6h59QRSXYT4/O0QNjE/CROy0nEZu6fKSaEEEffqTpugPzM0d/8JaU0vfQP3G+9jRoMAmAZPIjkW2/F+a1vHXSK5bDLhfvdd3EvfhPfli2R9YbUVJwzziQxoxxL3XugamXAGtOn8pjnUhY2DgR0pCSEuHqKhUE5HirayiJTS5a3lBNSewacAYw6IxlxGd2CXfs+d5hjr+Siqip1rX5217VRXNVM0/rN6LZsJKFkO9b2NizhIHY1SKpJJZ4Q+P2o7e2R9jpS9AkJWAYPxjJ4UMdSexiTDjzVpD/sjwS6qtqquk1rWuWpos5bh6L2nK4zFgadAYvBgtVoxWKwYDFYsBlt2nOjBavB2u19q9HaY13kubcZa/k3WEs/o7W1klXJWXxjtbA93NotbqZDx7DkYUzJnMLkAZOZkDEBu8nep+s/UZQ3eXn0/W28t6kGgASrkR/PHMJ1U/MP6/vXU3XskHHj5KeGQtQ99XuaXn4ZAMeM80m55VaaX32Vlg8+AEXr86ynnUbKbbcSf/756Azys5A4+kINDTS++HeaX389GgQbN5bU715KXIYPXcVqqFgFjbsO/2QGM8Slg6PLIy4d1ZqKry6It6SR9h3leDdvJ9zU3GN3c2EhoZEjGPbUUxIAO5BYA2CPP/44V199db+dV9LNQgjRd6fqD0YydgghRN+cquMGyNghhBB9daqOHf05bnROa1X+txdhTXRaq80pA3l32DTyvnUB151ZyJCM/U8RedxRVWit7hkKa9ihTdmwH4o9FXdcIXt0Oaz3pbOyOZmtwSxqSQK0SiJGvY4RWQmMy01kXJ42bWResv2kqhJW1+pjXZmL9eUu1pU1U+P2odfpMOi1R9fnBr0Og06HXg9GvR69XodBR7f3u23f8Vyv12Hc77G0pcNq5OzBqQxOd5xU7SuOrVN13AD5meNICdbW0fyvV2ie9zqKRwtOGzMzSbnpRhKvvhp9XFxkWzUcxvP557jefJO2pcuiQSiTifjzzsN55SwcZ50VDY81FsNnf4AN80DRQl2NyWN5zHMZC93DAB3ZiTZ+NGMws8ZlYzToCSpBKlsr2dOyh6q2KpKtyZGQV6otFYP+0G/chxWV8iYvu+va2F3fpi3r2iiua6PV33vYLMtp5bazC/nO5FzsZmO399RQCMXnR/W1o/h8qO3thNvbqWospbh6C3vqdlLZUEJbayPmEFiCYAmqmIOQhJ0MQyIpungSVRu2kB7V50Px+VC8XkJ1dRDuvdKZPjUFdWAOntxUGjLtVKTp2Z3koyxUT2VbJY2+xoO2hUlvIjMukyxHFlmOrMjzVGuqFs7aJ8xlNWjrTPrDnNrSXQlbFmtVUPedDruDS69ntdXC1w4n38Q5KCHQ7X2jzsio1FGRCmFj0sdgMVgO77qOpHAImoqhZhPUboaazdqN/bRhMHIWDL0ErL33XV+VNPK//93KtmqtUt6gdAe/uHQE5w5J69OlnKpjh4wbpw7XW29R84v/1yOgG3fWWaTcdhv2KZPl+3FxXAjV19P44os0vz4/UpnONmECad+/B/vUqejam6FiNVR8owXCKtZofxymM3QEudLAkdEl3JXRc501EXQ6wi0ttK9bh3ftOtrXrKF906bIOTvpTCaso0djHz8O2/jx2MaNw5iU1O/jxjELgLW0tHT7AG+88QZFRUWMHTu2L5fTTW9TQD733HOsWbMmsi4pKYmFCxfGXAGsL07VQV4IIfpC+kyNtIMQQsRG+ssoaQshhIiN9JeaznYorSmlIKMg5v2CYYWPttTyypd7+Lq0iYHuKmbtXsm0ynUYFe3mqSk/j+QbbyRx1iz0NtsR+gRHkbcJ6nd0D4XV7wB3+X53CRgcVBlz2BwcwGb/ANzEEUaPgp6wqsduMZOX6iA/LYGC1Hjy0xOwmc2g02sPvUH7hXO3ZR/WW+K15/3IFwyzpcrNujIX68pdrC9zUelq79dzHK6CFDsXjhzABSMzGJebhF4vN59E38m4ESVt0b/CLS00vz6fpldeIdzQAIDe6STp2muInz6d1o+W4H77bS2g1MEybBiJV84i4dJLMSYn7//grnL4/E+w9pXI1MeNCcN53HMZCz2noaKnKC2On1wwlItGDuhzP+kPhSlt8LC7ro1dtVrYq7iujZIGD4FQ75WvDHod+cl2itIdDEp3MChNW47ISjjsiqEN7Q2sq1vH2tq1rKtbx/am7T2msYw3xTMmfQzj08czLn0cdtVE/fYNtO7YQri4FPOeGhIqXSQ37b/qWJ0TytN0lKVBbYYFf14GxoEFDEjK6Rb2yorLIsWWgl53lCqhehpg61uw6Q0o+yK6XmeAwnNh1NWQN1ULR1WsgvJVULUu8jVSb9DzjdXKNzYbX8c5qNR3v3VsMVgYmz6WKQOmMDlzMiNTRmLUdw/rHTU+txbwqt0cDXzVbYPQAaYVNVhg0AwYdSUMuQgs3avXhRWV+avKeeqjHTR5tDDc+cPS+fmlIxiYGtfbEfdL+kuNtMPJrX3DBiq+/wNCjY0kXHQRKbfdinXEiGN9WUL0KlhXR+OLL+J6fT5qQOvjbRMnkPb9HxA3dUp0QyWsjTHWRDjANN2qqhKsrKR97Vq8a9fSvmYt/t27I9N9dzI4nVrQa/w47BMmYB05Er2lZ5j6pAmAPfTQQzz//PPMnDmTmTNnMmPGDJYuXcptt93Wl8vpZt8AWElJCbNnz+4RACstLSUxMfGwz7c/MrgJIUTspM/USDsIIURspL+MkrYQQojYSH+p6WyH0X8bzYyhM5g1aBZnZJ2x3yofdS0+/v1NGfO+KaO2RbtJaNDrmDk8gxtOz2difBjXa/+mef58FLdbe9/pJPGa75D83e9iTOtb9YTjmr9NqyrRNRRWvwOaSkDtvZLIUWd2QPYEyJ0CuZMhZyLYDjydVVeqqrK30Rup7LW+3MXW6haC4e6/StbpYEh6PGNzExmXl0hhmgNVVQmrKooCIUVBUVXCinZzNax0vqd2ex1WVBRVJRRWO7aPbhdSOraPHEchrBDZLqSoVLvb+WJ3I4FwNHSQ6rAwc0QGF47M4PSiFCxGmYJGHBoZN6KkLY4Mxe/H/dbbNP7j7wT3lvV43+B0knDZZSReOevQb6y31sAXf4HV/4CgF4CmuCKe8F7KgvZJKOgZlZ3A/RcO45zBqfut1tLqC0aqeHWGvHbXtVHW5EXZz91Fi1FPYVr3kNfgDAf5Kfaj1hd7g142NmxkXe061tWtY0P9Brwhb0z7WgIqOQ0wpNnK0GYrufWQVuPFur/Qs8GAOT+/2xSSlsGDMeflojMeuZCU6m1GWf8WyrrFKMVfoQRUwkE9SkiHkjAYJXk04fgilICK0taGGgphGpCBMTMTU2YWpvRUTPpG9A0bteon5avArX0dVhgNrLJa+dpm5WubjYZ9AnpxpjgmZExg8oDJTMmcwpCkIf0fdlMUcO3pEvbaDLWbwNXz/woApjjIGAEZo2DAKEgugrKvtGpoDTuj2xmtMPgCLQw2+AIwRwNe7vYgf162i39+sYeQomIy6Lj5zIF8f/ogEqyxVWaT/lIj7XDyUzweFJ8PY0rKsb4UIWISrK2j8YUXcC1YEAmC2SdNIvUH3ydu8uT97qeGQvi274gGvtau7RbS72TKz8M+bjy2CeOxjx+PeeBAdAcIknU67gJgncu+WrZsGUuWLGHRokXceeed3HfffX0+ViedTkdzc3O3cNeECRMiAbCSkhK+973vdZsS8kiQwU0IIWInfaZG2kEIIWIj/WWUtIUQQsRG+ktNZzsMf3Y4Bpt2EzbDnsEVg67gikFXkBOfg6qqfFPaxCtf7eXDzTWEOu7wpjosXDM5l2un5JHp7F7hS/F6cb35Jk3/fIVgmXZjTmcykXDppSTfdBPWoUOO7gc9FkIBLQTWGQpr2AUBjxYKU8IoSghPe4A2nx+PL4DXFyAcDqFHwdDx0KNg0qvYjGAzgtUAZj3oUbS/SO44Fuq+rzvWHUjasI4w2GQtGJYyKPKXze72IBsrXN2mc2z29qyAkuowMzZXm85yXG4io3OcxMd4Q/RIa/OH+GRHPR9uqWHF9rpuU43FW4ycNyydC0ZkcN7QtOPmmsXxTcaNKGmLI0sNh2ldspTGv/8d39atxJ11JomzrsQxfRp6s/nwDu5phK+egW+eB782xV2zNY+nvJcwP3AGIYxMHpjM/5w/GJ2OSMCrc/rGzvB3b+KtRgZ3VvOKVPWKJzvJhuE4q8AYUkLsbN6pVQmr/IL1tWsJqwrZcQPITBxIVnwemY5Msh3ZkUpecabulZ9Czc0Edu/Gt2sX/l27COzSnncG4PelM5sxFxVhGTwoEgqzDh6MIS1NC060tUUe4bY2FI9Xe+3peN3WZRtPG+E2D0prC4q7SVsXOMi4HyNDUhKmzEyMWZmYUhMxWf2YdA2YQnswebehN7azx2zka6uVb2xWvrFaaDF0D/I5zU4mZ05m8oDJTM6czMCEgYc2BVzAA7VbtYBXZ+CrdgsE2nrf3pkbDXpljIIBoyFpYO8VW1QV6rbCljdh82JtqshOJrtWEWzkLBg8E0za97e769p45J2tfLJTmw481WHm/guHcvWE3IN+bUt/qZF2EEIcr4K1tTQ+9zyuhQsjU5nap0wh7Qffxz5xIuE2D+0b1tO+Zi3edWtp37AR1btPiNxoxDpiBPbOCl/jx2NMTe3T9Rw3AbDOyl99rQDWmzfeeIOrrrqqz/svXbqUJUuW8MQTT/DAAw8wadIkrr76akALfT333HNMmjSJVatW8fDDDx/R6l8gg5sQQhwK6TM10g5CCBEb6S+jpC2EECI20l9qOtthdelqltQt4Z2Sd3D7ozcuC+xjcdeNo6yiEFQtJDMxP4nrT8/n4lGZmI0H/gtWNRymdflyml56mfa1ayPr4848k+SbbybuzDMO7YbgSa6uxce6ci14ta6smY0VbtqDPauIFabFMa4zeJWXyNCMeIz7Tpelqh3BsBA07obybzoeX3e/2dnBb3JSYhnOl8FBLGnNZ4NShBdr5H2zQc/I7ATG5SYxtiPwlZNkOyH+/QIhhS9LGvloSw0fba2lvjUaYDAb9JwxKIULRw5gxvAM0uJ7TsMhBMi40ZW0xdGjquqR6WfbXbDqBfjyGWhvAsBtHsAf2i9hXvAc/Ow/aJYeb9kn5KUt0+ItJ8SYAEBbPWx7Gza/CXs/B7reGtVB6hDIHNPlcRpYnQc9rKqqhOrr8XeEwrTHbvy7d/e8WXyk6HUY4h3oHQnoHY6ORxyGOEe31zqdjmBNLcHqKkLV1QQrq1BiuEadyYQxOQ5TnIrJ1ILR2EJjAmxPMrAq1cTKNDNuc/dAWJo1hclZU5kyYAoTB0wkx5Gjfa2oKrRURqt51XQEvppK6P5v0sFggfRhkDE6GvbKGAn2A0yDeiCqCjUbo2Ew197oe2YHDL1EC4MNOh+MFlZsr+ORd7ZS0uABYFR2Ar+8bCSTCvZ/fukvNdIOQojjXbC6mobnn8e16A3oCIKZcnIIVlVpVSi70MfHYxs3tiPwNR7b6NHobbbeDnvIjpsAmNvtjlyI03nwb4L2tXz5ciZOnNjtQyxfvpzp06f35XKOSzK4CSFE7KTP1Eg7CCFEbKS/jJK2EEKI2Eh/qdm3HfxhP69vfp9XNi+gLrQpsp0atjPQejZ3TbiGS4ZO6NO52jdsoPHll2n98KPIL1Ad06Yx4Fe/xJSR0S+f52QTCitsr2ntCIU1s77MFbnp2JXdbOC0HCfj8pIYl5vIuLyk/QaZalt8bN5VQtOOzzBVriK7bROj2Y1V173CVwg91ZYi2tLHYys6g8yR52BJHajN83gCUxSV9RUuPtxSw0dbaint0p46HUzIS+KCkRlcOHIA+SlxBziSONXIuBElbXES8bfBmpfg8z+DR5u+qMWYwnPBS/jCPo2kjLxoyCvDQVGaA6ftBK2a6G2Cbf/VpgAsXdm9UmbuFG1q5OoN0Frd+/7JhfuEwsbGHDxSFYVgVRX+nbu6h8NKSiI3mXV2O4a4OC2g1bnsDG7FxaEPN6Fv2Y3BtRW96kFvUtAbVfTJGRhGXYh+7Cz0Ayeis/QtiKeqKkprK8GqKoJV1dFgWFW1tq66WpviKobbyKpVoS1epdqpozjRQK1TR4MTGhJ0NCRAwK4nGyM5fi85fh85oRC5wSA5oRDZoTBWVQVHRpeqXh2Br5TBYDhC02iqKlSt1cJgW94Cd3n0PUsCDPsWjLySQP45vPJNFX9auitSXfSyMVk8dPEwshN73vyX/lIj7SCEOFEEq6poeO55XIsXR4Ng2dnYxo/HPmE8tnHjsQweFNN0jn1x3ATADteTTz7Jc889h06nY8aMGRQVFVFcXMyzzz57LC7niJDBTQghYid9pkbaQQghYiP9ZZS0hRBCxEb6S01nOzQ2NbOqyse/vtzLZ7sbANCZmkjL3IAhYQ1t4YbIPqNSRjFr8CwuGXgJDrPjkM8ZqKik6ZV/4pr3OmowiD4+noyHHsJ55awTp3LIAaiqSluwDbffTUugBbffjTvgpjXQSqIlkbz4PHLjc7Gb7H06frMnEJmWcV25i/Vlrm7TG3bKSbIxPi+JsbmJhBU1sk+V29dj2yQLXJrRxLS4UkaGtpHq2oChtbLnyR0Z3aeNzBwDJmvP7U4Qqqqyu66Nj7bW8uGWGjZWdJ+2a2hGPBeOzOCCkQMYmZVwUnx9ir6TcSNK2uIkFGyHda/CZ3+Eloro+vQRUDgNCs+D/DPAcujj/jHlc8P297TQV/FyrSpmp6zxMOpKGHEFJOZG17fWakGw6g1QvR6qN4K7rPfjO/O06mCZY6PBsPjYQ+1qMIjS3o7ebkdn3CfYpKpQsRo2L9JCSW210ffi0rVrH3UV5Ew6auFsNRgkWFtHqLoqEgrTwmJaYCxYVR1TpTOfCWoToS5RR10i1Cbqoq+dkBifSk6C9v1SjiOHnPiOhyOHVFvqkR+PO9t+y2ItDNZaFX3PmgjDL8VddBlP7Ejn36urUVWwmvTceW4R3zunCFuXCmjSX2qkHYQQJ5pgVRW+nTuxDh9+VP9g7aQJgHVyu92RqRtXr16NTqdj4sSJzJ49+4SvBiaDmxBCxE76TI20gxBCxEb6yyhpCyGEiI30l5rOdpj0/96mzq/drNLp4Pxh6Vx/egFnD0pFReHL6i9ZvGsxK8pXEOq4eWoz2piZP5MrB1/J+PTxh3wzzr9rF1U/+zm+jRsBbVrIzEd+jSkrq38/ZB8FwoFogKtrmKvL85ZAC+6AmxZ/S7d1SteqIvuRYk0hr+PmZl58HnkJeVo4LCGXBHPsX5OKolJc36ZNG1nezNq9LnbWte63QIdeB0My4rtUC0ukKM2BXr/Pv5+7Eiq+iU4dWb0BlO5VwjCYtZveuZM7HlMgfkDM1368qXK1s2RrLR9treGrkibCSrQRsxNtXDAygwtGDGBSQVLPKTfFSU/GjShpi5NYKAAbX4dVf9f6/a7T8OlNWl/fGQjLGnfkqjEdDn8b7PxAm9Jv91IIR6f9JWM0jJqlTeuXXBj7MT2NULOhSzBsQ8c0hb2Iz9ynUtgYSMiOLaSlqlC7RQt9bX4DXF2CZ9ZEGPFtLfRVcDboDfs9zLGiqiqK290RCOtSPay8lFBZCcGaOkLu9oMep8kRDYhFwmFJ2tKXYCUnoXswrDMoluXIwmrs52C6omjTZ29ZDFvf7h7EsyXTlH8Rf60dzT+rcwhjIMtp5eFLhnPpaZnodDrpLztIOwghRGxOugDYvjoDYaWlpdx3333H+nIOiwxuQggRO+kzNdIOQggRG+kvo6QthBAiNtJfajrbIfdHC0hJcjJ3Uh7fnZJHbnLv1amafE38t/i/LN61mBJ39MZnQUIBswbP4ttF3ybVlhrz+dVQiKZ//pP6P/0ZNRBAb7eT/sD9JM6Z0+9TKniDXva27KW8tRyX39V7qKtLmKs9dPAblAdiNVhJMCeQYEnAaXESb4qnyd9EeUs5zf7mA+7bWSksJz4nGgyLzyUvIY8kS9JBw3atviAbK9zatJHlLvQ6HeM6qoGdluMkztKHG/bBdqhar90ErVilLT31Pbdz5kXDYLmTYcDo4/Im9cG4vAGWb6/jwy01fLKzHl8wGupLsps4f7g2TeTZg1Oxmk68zycOnYwbUdIWpwhPI+xZCcUroGRF9zASgMUJA8/WwmCF0yCl6NhNExxsh10faaGvnR9C1zE8dagWmhp1JaQO7r9ztrugZlP3UFjDTrqF5jrZU3uGwpIKou3VWKwFvjYtgoYd0f1McTDsEhh1NRRNB6O5/67/GFECAYKVlQQrKgiUlxOsqCRYXk6gooJgWRmKp+dU110FjFDn1KqGRaqHJUWrhzmdGdGKYR1Vw3Ljc8mJz8FpdmLUG/teQUwJw94vtIpsW98Gb7RCrt+SwruhScz3TmKVOpQJBSn88rKR5MXrpL9Exg0hhIjVSR8AO5nI4CaEELGTPlMj7SCEELGR/jJK2kIIIWIj/aWmsx1e+Xgrs88YEnOQRVVVNtRvYPGuxXyw54NIWMqgM3BuzrlcOfhKzsw+E6M+tqCRv6SU6p//nPa1awGwT5lC5m8ewZybe5A9uwsrYao8Vexx72Fvy172tOxhj3sPpS2l1HnrDulYADp0JFgSSDAn4DQ7cVqc3UJdCWZt6TQ7tXUdywRzwgErULQEWihvLae8pZyy1jLKW8spa9GW9e29hKq6cJgckTBYZzCs83WaLe3oTVOoqtBcGq0QVv4N1G2BfaufWZzatGEFZ0HBmTDgtBMuENYeCPPprno+2lrL0m21uLzRSmg2k4Fzh6RxwcgMzh+WgdNuOoZXevTUuH089v42KprbSY4zk+Iwa8s4S+R55+vkODNm44lfMU3GjShpi1NUUwmUfKwFwkpXgs/V/X1nLhSeG60QFhd7ILxPQn7YvUyrzLTjfQi0Rd9LLoSRV2qhr/QRRy+Y5m+D2s3dQ2F120AN99zW6tTGRH+rNtVkJ4MZBl+ghdaGXAjmuKNz7ccBVVUJu1wEKyq0UFh5BcGKjmV5OcGaGgj30pZduOI6qoc5OwJiSdEqYk0JOgw6AxaDBavRis1ow2qwYjVGHzaDLfra0LFNx/PIPkYrVp0Ja8MubHs+x1q6Emu7C6uiYlNVWpREPghP5l1lKnnDJvOHG88+5ftLGTeEECI2xyQAptfrmTBhAhMnTmTmzJnMmDGj28nfeOMNioqKGDt27H6PsWfPnkO+uIKCgkPe53gig5sQQsRO+kyNtIMQQsRG+ssoaQshhIiN9Jea/mgHT9DDB6UfsHj3YjbWb4ysT7elc/mgy5k1aBa5CQcPcqnhMM2v/Zu6P/wBtb0dnc1G+o9/RNJ11/WoBubyubRwV0fAa0+LFvgqaykjoAT2e45ESyL5CfmkWFMiga2uQa6uIS6nxYnD5ECvO7rBFW/Qq4XDWrVwWFlLGRWtFZS1llHjqUHtrbJIB5vRplUNi49OJ5kbn0t2XDap9lRsRtuRvXh/K1Su6QiEfQ1lX0Ogtfs2Fifkn94RCDvrhAuEhcIKq/Y08+GWGpZsraXSFa0yY9TruOmMAu67cOgRqQrWeWM8VF9PuKGBUH299mhqxjywgPjzzsOYltbv593Xuxur+embm3C3Bw++cYd4i5HkSEisIxjm0J53C4t1rDseq6rJuBElbSFQwlpoqTMQVv41hPcZfweMjlYHyzsdzL1XFz0k4SCUfKKFvra9A3539D1nXsf0jldqFbaOVTWyfQXboXar1l6RUNjW7u2lM2jhuVFXw/BLtXCY6EENBgnW1PQaDgtUlKO4Ww64/yejdDxzqR71KHxtmFQVq6Ki94b5/Ac7Tvn+UsYNIYSIzTEJgD355JPccccdrF69miVLlrBs2TJcLhczZsxg5syZjB8/nqVLl3Lbbbf1un/ntI6HdGE6XY+g2YlGBjchhIid9JkaaQchhIiN9JdR0hZCCBEb6S81/d0Ou5t3s3j3Yt4pfqfbNIeTB0xm1uBZzMibccDKWACBsjKqf/4LvN98A4B/ZCFbbj+XbY6WSFUvl9+13/1NehP5CfkUJBRQ4CyIPk8oINGaeNif8Vjyh/1UtlZGgmFdq4dVe6oJ91ZhpIt4czzptnTS7Gmk2dJIs6eRbk8nzdax7FhvNvTTFFPhENRshD2faY+yL8G/z81ZS4IWDOgaCDP0YYrKY0BVVbZUtfDRlho+3FLLjlot7FaYFsfvZ49hXF5SbMcJBAg1NmphroYGQnX10ef7LAkeOHRlPe004qdPwzFtGpYhQ/q1IlyLL8iv/rOFxWsrATgtx8mtZw2kxReiqS1Ak8dPoydAkydAY1uARk+AZm+AsHLok47YzYaOymKWSEisa1hscEY8Y3MT++2zxULGjShpC9FDwAtlX3RMF/kJ1G7q/r7BDHlTo4GwzDGxh3+VsDaGbH4Dtv0X2pui78VnwsiO0FfOxOMn9HUwoQDUb9PCYABDLgbHkQ/wnuzCbrc2lWRFZUc4rJxgeQWBCm2JomC75XoMd15Pe7gdX8inPcI+2kP7eR3W1vX6uuN51316XFN7mG13bTvl+0sZN4QQIjbHxRSQL7zwAnPmzIkEwhYtWsSdd97Jfffdd9gXdDKRwU0IIWInfaZG2kEIIWIj/WWUtIUQQsRG+kvNkWqHYDjIivIVLN61mC+qvohUrYo3x/Otgd/iysFXMjxlOKqqUuet61bJa0/LHvY2lzL88wq+uzyMLQABI8w/W8+7k3Uoeu3mboY9gwJnQSTc1fk8My4TwwlUUaq/BJUg1W3VkXBY1wpitd7aXm9K7o/T4oyGwvYJh6XZ00i3pZNqS8VkOMTpDpVw90DY3i/2Ewib2iUQNuaECYQt317LQ29soq7Vjx6Ve6ZmccfIBPTNTZFqXdHKXdEKXmGX65DOY0hMxJiWijEtDUNqKgZnIu3r1+Pb1D1wYcrKwjF9Oo5p5xE3aRI6c9+Dfd+UNvHj+eupdLWj18E90wbxw/MHYzIcuEKeoqi0+IL7BMP8NHUExJo613u0AFmTJ0AwHNstiikDk/nRjCGcXpTS5891KGTciJK2EAfVVqdNE1m8AkpWQEtl9/dtSTDwnGggLHlg9/cVBcq/gs2LYevb4OkyjXNcGoy4XAt95Z0O+hN/illx5LnefIvqhx8GIPPRR0mcdUW/n0NVVfxhfzQQ5nNRt+lDpk770SnfX8q4IYQQsTkuAmCLFy/myiuv7LbujTfe4KqrrjrsCzqZyOAmhBCxkz5TI+0ghBCxkf4yStpCCCFiI/2l5mi0Q3VbNW/tfou3dr9Flacqsj7bkU2Tr+mAwaRcr4273lcZtLMNAP+QPCz/7yfkjzkLu6kfppI6RaiqSluwjfr2euq99dR563o8r/PWUe+tP+AUmvtKtiZHQmFdw2GdlcUKEgpwmB37P4AShppN+wTC3N23Mcd3CYSdrVWNOQ4CYYrXS7CykkBlJcHKSq3aSFUVvtpaGvdWYW5pxhqOfYpEjEaMqVqoK7JMS4sEvTrXG1JT0e8nyBWsraPtk49pW74Cz5dfovr9kff0DgdxZ59F/LRpOM45B0NiYkyXFQgp/HHpTp79pBhVhdxkG3+cO5YJ+cmxf7ZDoKqqVlGsIxDW2NY1IBagsU2rMvZ1SROBsALA1EItCDa18MgGwWTciJK2EIdEVaFxd3S6yD2f9gz/JuZD0TTIO0OrirXlTWiNfs+ALQmGfxtGXQn5Zx0X44A48dT93x9ofP55MJnI/8ffsU+adMTPKf2lRtpBCCFic1wEwJ588kmSkpK6TfnYWyjsVCeDmxBCxE76TI20gxBCxEb6yyhpCyGEiI30l5qj2Q6KqvBV9Vcs3rWY5WXLCSpaOMagM5ATnxOp5JXv1KZsHOgcSIpVC3S4Fy+m9rHHUVpb0ZlMpN5zNym33orOdIgVqMQBqapKS6BFC4a1a4GwruGwSGisvY6QEjro8RLMCbx4wYsMTxke2wV0DYTt/Vx7+PYNhDm6TxmZOfaIBAGU9naCVVVauKuyUptSqjL6OtzUdPCDAF6jhSZrArYBGeQPysWckRap3KWFutIwpqdhcDrR9WMVG6W9Hc+XX9K6fDltH39CuKEh+qbBgH3cOBzTpxM/fRrmgoJej7G7rpUfzV/P5kotqDF7Qg7/77IRxFuP/f+7anc7z6woZv6q8kgQ7PTCFH40YzBTjlAQTMaNKGkLcVjCIahaGw2EVXwDvY0plgQYdqkW+io8Dw616qQQ+1AVhcof30vrhx9icDopWDAfc37+ET2n9JcaaQchhIjNcREAA3jooYd44YUXmDhxIoWFhQA8++yzh31BJxMZ3IQQInbSZ2qkHYQQIjbSX0ZJWwghRGykv9Qcq3Zo9jWzrWkbmXGZ5DhyYppKMFhbS80vf0Xbxx8DYBkxnKzf/hbr8BjDRaLfKKqC2+/utZJYZ1CsorWCZn8zOY4c5l82nwRzH76+lDDUbu6oEPY57P1sP4GwfSuEHfzrSfH7uwW6gpUVXSp6VXUPTO2HPiEBU3Y25pxsTFnZmLKzMKZnYEzXqnW12hP4fx+W8O6magBGZCbw+zljGJ55dPscVVHwbdpE6/IVtK1YgX/nzm7vmwcOxDF9GvHTpmEbOxYMBv711V5+++42/CGFRLuJR2eN5uLRmUf1umNR5WrnmY93M39VeWTqyNMLU/jxzCFMHti/Vcpk3IiSthD9yt+mBX5LPobyryFpIIy6CgadD0bLsb46cZJR2tvZe8ON+DZtwlxQQMH81zE4nUfsfNJfaqQdhBAiNsdNAAygtLSUtWvXAsj0j72QwU0IIWInfaZG2kEIIWIj/WWUtIUQQsRG+kvNidYOqqrS8s471P7mt4TdbjAaSb3jdlLvvBPdfqbFE8eG2+9m7jtzqWyrZFruNP407U/odLrDO6gShtotXaaM/Bx8ru7bmOJg4Dko035FyG/tPkVjZfQRqq8/6On0cXGYcnK0R3YW5uxsTNnZ2uusLAwx/p95Z2MVv3hrM83eICaDjv85fzB3nluE0dB/Fb8ORaCikrYVK2hbsRzPN6sgFK28o3MmsjF3JP+xFbImfSgTR+Tw1OwxZCRYj8m1xqrS1c4zK3azYHU0CHZGkRYEm1TQP0GwE62/PJKkLYQQJ7JgXR175n6HUHU19qlTyXvh+SNWVVb6S420gxBCxOa4CoCJA5PBTQghYid9pkbaQQghYiP9ZZS0hRBCxEb6S82J2g6h+npqfv0IrUuWAGAZPJjM3/0W2+jRx/jKRFdbGrZw/fvXE1SC3DvhXm4edXP/nkBRCJeswv/Vu/g3fI1/dzH+JoVAi5FQux44cOBMZ7droa6cHC3Yla1V8TJ3vNYnJBx+aK1DXauPn725mSVbawEYk+Pk93PGMCg9vl+O31fh1lY8n31G6/IVNK/4GENba+Q9xWjEMXUq8dPOI37aNExZWcfuQmPUWxDszEEp/HjGECYeZhDsRO0vjwRpCyHEic63fTt7r/0uitdL4uyrGfDrX/fbmN+V9JcaaQchhIjNSRUAe+qpp7jvvvsiy5ONDG5CCBE76TM10g5CCBEb6S+jpC2EECI20l9qTvR2aPngA2p+/QjhpibQ60m59RZSv/999BaZMup4sWDHAh756hEMOgMvXvAiEwdM7NNxFK8Xf3EJ/t278e/apT127yZUXb3ffXQGFVNWJqbCIZizu4a8sjHlZGNITDwiN3v3R1VV3lpfyS/f3kKLL4TZqOe+C4Zw61mFGPRH7zr25fGH+PV/t7Lwmz2MbNrDJa27Oa9hO1SWd9vOMmwY8dOn4Zg2DevIkej0x6aCWSwqmr0883ExC7sEwc4alMqPZw5mQn7fgmAnen/Zn6QthBAng9YVK6i45/ugKKTffz8pt97S7+eQ/lIj7SCEELHp7/7S2A/X1GeNjY0ANDQ0HMvLEEIIIYQQQgghhBBCnAASLroI+5Qp1P7mt7S8+y6NL7xI69JlZP72t9jHjzvWlxehBAKEqqowDhiA3np8T6XX32YPmc26unW8U/IO96+8n4WXLSTVlrrf7ZVAgEBpKf6du7qFvYIVFbCfv102ZmRgGTQIy+DB2iNvAKY1j2KoXolOXweX3QLjrz9SHzFmOp2OWeNyOL0wlYcWb+TjHfX87r3tfLillqdmj2FgatxRv6Y1e5u5d8F69jZ60RkMnHHVTG6ZeQ9mg55AaSltK1bQunwF7evW4d++Hf/27TQ88yzGtDQc06ZhnzhBC9RlZWFMT0dnMBz1z9CbnCQ7v5s1mrvPK+LpFVoQ7LPdDXy2u4GzB6fyoxlDmJCfdKwvUwghxDEUP20aGQ8+QO2jj1H31FOY8/OInzHjWF+WEEII0W+OaQBMCCGEEEIIIYQQQgghDoUxKYns3z9FwiUXU/2rXxEoLWXvd79L8g3Xk/ajH6G32Y7atYTbPARKivEXl0SXxcUEKiogHMaQnEzKLTeTdM016OOOftjnWNDpdPxi6i/Y3rSd3a7d3P/J/bxwwQsYFAiUlWlBr13RsFdg714Ih3s9liE5WQt4dYa9hgzGUlSEwensufG4N+A/P4CNr8N/vg+t1XDO/XAUK37tzwCnlZdumsSC1eU88s421uxt5uI/reTBi4Zx4+kF6I9CNbBgWOEvy3fz1+W7UFTITrTx+zljmFqYEtnGUliIpbCQlFtvJdTcTNsnn9C2fAWezz4jVF+Pa8ECXAsWRA9qNGIaMABTVlYkFBZZ5mRjyshAZzId8c/WVU6SnUev1IJgz3y8m4WrK/h0VwOf7pIgmBBCCEi64Qb8paW4Xp9P5f0PkP/qv7CNHHmsL0sIIYToFxIAE0IIIYQQQgghhBBCnHDizz8f+8SJ1D76GO633qLpn6/QuuJjMh95hLgpk/vtPKqqEm5qwl9cTKCkJBLy8peUEKqp2f+ORiPhpibqnvo9jS/+neSbbybpu9/F4Di5g2CqomCsbuBJ/RzmffU4GbVfs+b/zsVZ3YoaDPa6jz4+PlrNK1LZaxDGlJRet++V0Qyz/gYJWfDZ/8GK30JLJVzyezAc+1+D63Q65k7K46zBaTy4aCOf7W7gf/+7lQ821/DU7DHkJttjO1DVelj6K0gdAqffDUkFB92ltMHDj+avZ0O5C4Arxmbxv5ePwmnbfzjLmJRE4hVXkHjFFSiBAN6vv6Ht44/x795NsKqKYHU1hEIEKyq0am290esxZmR0BMOyugfEOh5HavrW3GQ7j155GnefN4inV+xm0ZpoEOycIWn8aMZgxudJEEwIIU41Op2OAT/7GcGycjxffEHFXXdTsHABpoyMY31pQgghxGHTqep+6mgfBQ8//DCPPvooDz30EI899tixuowjRuY3FkKI2EmfqZF2EEKI2Eh/GSVtIYQQsZH+UnOytkPbypVU/79fRgJZSddeQ9q9PzmksJWqKASrqnut6BV2u/e7nyEtFUthEZaiQsxdlsbkJNzvvEvD354luLdM29bpJPnmm0i67joMDsfhfejjSKC8HNeCBXi+/Ap/cTFqe3uv2+nsdixFRd3DXkMGa1MJ9melrm9egPfuB1QYcjFc/Q8wxxiwOgpUVeXVr8t49L1teANh7GYDP71kON+dkrf/dlBV+OoZWPJLUDqCdDoDjJwFZ/4PZJ7W63nmfVPOI+9spT0YJsFq5DezRvPtMVmH/xnCYUL19VoYrLKSYGXHsiq6VAOBgx7HkJaKOStbC4jtW0UsKwu9vX/+3coavVoQbG0FYUW7JXJuRxBs3H6CYCdrf9kX0hZCiJNNuKWFPddcS6C4GOuIEeS/+q9+GXOkv9RIOwghRGz6u7+UANgRJIObEELETvpMjbSDEELERvrLKGkLIYSIjfSXmpO5HcKtrdQ9+VRkijpjViaZv34Ex1lndttODQS0qQi7hLz8JcUESvfsN7iETocpOxtzUaEW9hpUhLljurxepyPser5QiJZ336Xh2b8R2LMHAL3TSfKNN5B8/fUY4uMP+7MfC2o4TNvKlTTPm4fn08+0gFIHndmMuagIy6BBfGWt5L/qepoyHfz1ugXkOfOPzgVu+y8suhXCfsiZBNfMh7hDqCh2FJQ1erlv0Qa+KW0C4OzBqTx+1WlkJe4zjWlbPbx9N+z6SHs95GIIB6B4WXSboulw5o9g4Dmg09HQ5uehNzaydFsdAKcXpvD7OWN6HvsIURWFcGNjt0BYoFtArBrV6z3ocQxJSZiysrAMGkT8zBnEnX32YVUNK2v08tcVu3hjbWUkCHbe0DR+NGMIY3MTu217MveXh0raQghxMgqUl7NnzlzCzc04ZpxPzp//jE6vP6xjSn+pkXYQQojYSADsBCKDmxBCxE76TI20gxBCxEb6yyhpCyGEiI30l5pToR08X35J9c9/QbCyEgDnFVdgTE/XQl7FJQTKyyEU6n1nkwlLQX63Sl6WokLMAweit1oP67rUcJiW996n4dlnCZSUANrUh8k33EDyjTdgOEH+PUKNjbjeWIzr9dcJVlVF1sedeSbOWbOwjhiBOS8XnVGbdjEYDnLzhzezoX4Dw5OH869L/oXFcGSm/eth75cw7zvgc0HKILjujZimTIyVJ+ghEA5g0psw6o2Y9CYMesMhHUNRVF7+Yg+Pf7Adf0gh3mLkF5eOYPbEHK0aWMnHsPgOaKsFgwUu+h1MvBV0OqjeCF/8GTYvBjWsHTBzLJsH3sQtX2dS5wljNui5/8Kh3HrWQPT6fqyydphUVSXscnWvHFbVvYqY0traYz99XByO6dNJuOhC4s46q89hsLJGL39ZvovF66JBsGlD0/ifLkGwU6G/jJW0hRDiZOVdu5ayG29CDQZJue1W0u+777COJ/2lRtpBCCFic1IGwDqXJxsZ3IQQInbSZ2qkHYQQIjbSX0ZJWwghRGykv9ScKu2geDzU/d8faH7ttV7f19vtWoWqwkJtWVSIubAQc240uHSkqOEwLR98oAXBdhdr1+NwkHzD9STfcAOGxMQjev6+UFWV9nXraP73PFo+/BCC2hSEeqeTxCuvJGnuHMwFBfvdv8ZTw5z/zqHZ38xVg6/iV2f86uhcOED9Dnj1KnCXQ1w6fHchZI09rEOqqsqzG57l+Y3PE+4MXnXQoYsGwgwmjLrosrd1JoO2bTCoZ0tVGy6PAqqBbKeds2wV2Go3YVJVjPZkTMMvx5iQhcVg4bzc88hP6Kim1rwXvnwade0r6EJaFbu9Sjpv269k5rX3Mjwv47A+77ESbmmJhMG836yi5cMPI9O8Qpcw2MUXEXfmmX0Kg+1t9PCX5bt5s0sQbPqwdP7n/MEMdOpPif4yFqfK2CGEODW5//tfqu5/AIDM3zxC4tVX9/lY0l9qpB2EECI2J1UArLPyl1QAE0IIIX2mRtpBCCFiI/1llLSFEELERvpLzanWDt5Vq2ie9zr6+HgsRUXaFI5FRRgzMrTqSseQqii0fvghDc88i3/XLkALtCRdfx3JN96IMSnpmF4faEE693/foXnePPw7dkTWW087jaTvfIeESy6OuTLaF1VfcOeSO1FR+c2Zv+HyQZcfqcvuqaUaXrsaajeD2QFzXoFB5/fpUIqq8Pg3j/Pv7f/u54s8NDajjUfPfpTz87TPsbHCxf+bt5JzXW9xo/FDknVt2ob2VJhyJ0y6FezJx/CKD5+qKLSv30Drhx/Q8uFHPcNg508n4aKLtMpgZvMhHXtPQ2cQrIKOHBhn5dt57e7pp0x/eSCn2tghhDj11P/5LzQ88wwYjeS9+CJxU6f06TjSX2qkHYQQIjYnVQDM7XZHPozT6TxWl3HEyOAmhBCxkz5TI+0ghBCxkf4yStpCCCFiI/2lRtrh+KMqCq1LltLwzDORkJXebifpu98l+Zabj0kQzL9rF83zXsf99tsoHg8AOouFhEu/RdJ3rsE2elSfjvvshmd5Zv0zWA1WXr3kVYYmD+3Pyz4wnxvmXwelK0FvhMufhjHfOaRDhJQQv/zil/yn+D8A/HTKT5kzZA4hNUQwHCSkhAgq2rLzeefrfZ933abbsnI1gS1vooQDtOrMLFHGoqQUMrUoCZNRIaSE2NW8i40NGwH4/tgfEGg4jz8t201IUclIsPCHWUM4o+UD+PIv4CrTLt4UBxNuhKl3Q2JuvzbtsdAtDPbBh4RqayPv6R0OHNOnkXDRxcSddeYhhcFKGzz8Zfku3lpXScjnpfyPc6S/RMYOIcTJT1VVqn5yHy3vvYfe6aTg9XlYBg485ONIf6mRdhBCiNicVAGwk50MbkIIETvpMzXSDkIIERvpL6OkLYQQIjbSX2qkHY5fqqLQumyZVhFs2zYAdHY7yddeQ/Itt2BMPrLVm9RAgNZly2j+9zy8q1ZF1pvz80m69hqcV1yB4TD/iFdRFe5eejefV31OfkI+8741j3hz/OFeeuxCAXjrLti8SHt9/i/hrB9DDNXg/GE/D3zyAMvLl2PQGXjkzEe4rOiy/ru2gAfefwDWvQqAkjuFVwb8nN9+0UYwrJJkN/GbK0bzrdMyCSpBnlz1JPO2zwMg6B6Lr/oqLhmVy+9mjSbR3hF4Codg61vw2R+hdpO2Tm+EUVfDmf8DGSP67/qPIS0Mtp6WDz6g9cOPeoTB4s+fTvyFFx1SGKy0wcNT/13HM7ecLf0lMnYIIU4Nit9P2Q030r5hA6b8PApef/2Qg/jSX2qkHYQQIjYSADvCXC4Xjz76KHPnzmX8+PGR9c8//zyFhYWsXbuWq6++msLCwoMeSwY3IYSInfSZGmkHIYSIjfSXUdIWQggRG+kvNdIOxz9VVWlbvpyGp5/Bt3UrADqbjaRrriHllpsxpqb26/mCNTW4FiygeeFCwvUN2kq9nvjzp5N0zTXYp05Fp9f32/mafc3MeWcONZ4aZubP5Pfn/v7oTsepKLD0l/DFn7XXk26Hix8HvWG/u3iDXn644od8Xf01Zr2ZJ899kul50/vvmqo3wqJboHEXoINz7odzHwSDka1VLfxk4Qa2VbcAcOlpmfz68lEs21bLrz5+EV3qW+h0Ctm2obzyrWdIj0vveXxVheLl8PkftQponQZfAGf+CPLPiCkEd6w0+5qp9dYyOHEwhgP8O8E+YbAPPiRUVxd5TwuDnU/8RRcSd+bBw2DSX0ZJWwghThWhhgb2zJlLsKoK+6RJ5P39RXSHUElS+kuNtIMQQsRGAmBH2NKlS1m4cCHf+973IgGwkpISnnvuOR5//HEAZs+ezcKFCw96LBnchBAidtJnaqQdhBAiNtJfRklbCCFEbKS/1Eg7nDhUVaXt44+1INjmzQDorFaS5s4l5bZbMaal9f3YioLnyy9pnjePtuUrtFAUYEhLJWn2HBLnzMY0YEC/fI7ebKrfxA0f3EBICXH/xPu5YeQNR+xc+/XVs/DBw4AKwy6Fq14Ek63HZm6/m7uX3c3G+o3YjDb+Mv0vTMmc0j/XoKrw9XOw5BcQDkB8Jlz5Agw8u9tmgZDCX5fv4umPiwkrKjaTgfZgGIARhXW4HC/SGmwh3Z7On6f9mZGpI/d/zso18PmfYdt/QNX+3cmeCGf9CIZ+C/ox7He4VFVl0a5FPLnqSdpD7SRbkzk351ym501nauZUrEbrgfdXFNrXraPlgw9p/XCfMFh8PPHTpxN/8UU4zjij15v70l9GSVsIIU4lvp072XvNtSgeD85Zs8j83W9jDqtLf6mRdhBCiNhIAKzD2rVruf3221mzZk239SUlJSxatIjCwkJKSkq44447SExMPKRjP/jgg90qgD3//PMA3HHHHQBMmDChx3l7I4ObEELETvpMjbSDEELERvrLKGkLIYSIjfSXGmmHE4+qqnhWrqT+6WfwbdwIgM5iIXHuHFJuvQ1TRi8Vn/Yj7HbjevNNXPNeJ7B3b2S9ffJkkq69hvjzz0dnMvX7Z+jNvO3z+N3Xv8OoM/KPi/7BuPRxR+W83Wx5ExbfoYWvcqfCNfPAHp1qs6G9gTuW3MGu5l0kmBN4dsaznJZ2Wv+c29MIb98DO9/XXg+5GC5/GuJS9rvLxgoXP1mwgV11bRj1Ou69YAjfO6eIqrYKfrD8BxS7i7EYLPzmzN9w0cCLDnz+xmL48q+w7jUI+7V1KYPgjB/CmO+A0dI/n7OPGtob+OUXv2RlhVaxzKQ3EVSCkfdtRhunZ57O9LzpnJNzDknWA0/R1S0M9sEHhOrrI+/p4+MjlcG6hsGkv4ySthBCnGraPv2U8u/dCYpC2r33knrH7THtJ/2lRtpBCCFic1IEwB5++GEefvjhPn+AzoDXhAkT2Pfyu4azSkpKePDBB2Oq1tXVvgGwJ554gsTExEgArKioiOLi4oMeRwY3IYSInfSZGmkHIYSIjfSXUdIWQggRG+kvNdIOJy5VVfF89jkNTz9N+/r1AOjMZhLnzCHl9tswZWTsd9/2TZtpnjePlnffRfVrYR+9w4Hz8stJuuY7WAYNOhofoRtVVXlw5YO8v+d90m3pLLhsASm2/Yefjpg9n8G8a8HvhtShcN0iSMyjsq2S2z+6nfLWctJsaTw38zkGJw3un3OWrtSCZ63VYDDDBb+ByXfENA2jLxjmPxuqOC3HybAB0f/DbYE2Hlj5AJ9WfgrA9077HnePvRu97iAVvdrqtCpkq14An1tb58iAqXfBhJvBltjXT9lnS/Yu4ddf/hqX34VZb+aH43/INcOuYW3dWlaUrWB5+XJqPDWR7fU6PePSxzE9dzrT8qaRG597wOOrikL72rXRymBdw2AJCcSffz4JF11IeORIEtPSpL9Exg4hxKmp6bXXqH3kNwBk/+lPJFx4wUH3kf5SI+0ghBCxOSkCYHPnzmX+/PmA9oESEhJwu90sW7aMK6+8Mubj6HS6bgGwkpISZs+e3a06V1JSEs3NzYAWHCspKelxnKuvvprCwsLI694qgLlcLh544AFAAmBCCHEkSJ+pkXYQQojYSH8ZJW0hhBCxkf5SI+1w4lNVFc8XX9Dw9DO0r10LgM5kInH21aTcfjumzEwAFJ+Plvfep3nePHybNkX2twwdStK11+K89Fvo4+KOyWfo5A16uebdayhxlzAlcwrPzXgOg95w9C+kdiu8djW0VIJjACVX/Inb1z1JnbeObEc2L8x8gdyEA4eKYhIOwSePwcqnABVSBsPsl2DA6MM/NhBWwvxx7R95ecvLAMzIm8Fvz/otdpP94Dv7W2HtK/Dl01o7AJjjYeJNMPVuSMjql2s8kJZAC499/Rj/LfkvAMOTh/O7s37HoKTuAUVVVdnetJ3l5ctZUbaCHc07ur0/OGkw03KnMT13OiNSRhxw2q5IGOz9D2j96KNuYTBvXBwT166R/hIZO4QQp66a3/yW5ldfRWe1kv+vf2EbPeqA20t/qZF2EEKI2PR3f2nsh2vqs2XLlrFu3Truu+8+nE4nq1atOqQA2L6WLl1KcnJyt3XJycmsXbuW8ePHc/XVV/fpuBMnTowE1oBIMGxffr8ff8df0IH2jyWEEEIciIwdQgghDpWMHUIIIQ6FjBsnH51Oh+PMM4k74wy8X31F/dNP0756Dc3/nodr4SKcV12J3mrD9eabKG6topPOZCL+ootIuuYabOPGHjAQczTZTXb+77z/45p3r+Hr6q95ev3T/HD8D4/+hWSMgFuXwGtXs8W1i7tW/oRmg54iZxHPzXyOjLj9V1eLmasM3rgNyr/WXo+7Hi5+HMz9F8Iz6A38ZOJPGJQ4iP/98n9ZWraUig8q+PO0P5PpyDzwzpZ4OP0emHQ7bH4DPv8T1G+DL/4CX/0NTpsLZ/4Q0ob22/V29VX1V/zi819Q46lBr9Nz66hbuWvMXZgMPack1el0DE8ZzvCU4dwz9h4q2ypZUbaCFeUrWFO7hl3Nu9jVvIvnNz5Phj2D83LPY3redCZlTOpxPJ1ej33iROwTJ5Lx04cjlcFaPvoQpab2iHzWE4GMHUIIocl46EECZXvxrPyU8rvvYuCCBZGwvYiScUMIIY4PB6n/fGQMHDgQgMLCQpYsWRJZ31t1rkPhcrl6Xd/U1BTzMZYuXcratWuZP38+azv+gm78+PEUFRWxdOlSnn/+eV544YVe93300UdxOp2RR25uP/xVmBBCiJOajB1CCCEOlYwdQgghDoWMGycvnU5H3OmnU/Dqq+T985/YJ09GDQZxvT6fppdfRnG7MWVnk/aTexn0ycdkP/kE9vHjjpvwV6eixCJ+dfqvAHhh0wusrFh5bC7Emc3qSx/l1qwsmg16RvoDvJR/Zf+Ev7a8Bc+epYW/LAlw9T/g8r/2a/irq8sHXc4/LvwHydZktjdt5zvvfof1detj29lohrHXwF1fwLULIO8MUIKw/lV4ejI8P00Lsi3/Lax7DfZ+AS3VoCh9ulZfyMfj3zzO7R/dTo2nhrz4PP550T/54fgf9hr+6k22I5vrRlzH3y/8O5/M/YTfnfU7ZubPxGa0UeutZf6O+Xxvyfc4Z/45PPDJA3xQ+gFtgbboAbxNULEG3ZbF2D3LGTCynMHXW8i9INSnz3QykLFDCCE0OqOR7P/7PyyDBxOub6D8rrtRPJ5jfVnHHRk3hBDi+HBMpoB0u90sWLAAgOLiYu68804KCgq48847+dvf/hbzcfadAvKJJ55gyZIl3UJlRUVFPP74432u/nUoeks35+bmSnlLIYSIwalaEljGDiGE6JtTddwAGTuEEKKvTtWxQ8aNU4t31SqaXnkFAOdVV+E4+2x0hmMwpWIf/Par3/L6jtdJMCew4LIFZDuyj+r5V1as5N6P78Uf9jNR7+AvJdtwqCrMfATO+AH0JTgX8MKHD8Oal7XXOZPgqhchqaA/L32/qtuq+cHyH7CjeQcmvYlfnv5LLh90+aEfqPwbrSLY9neB/dxOMFq1z5VUAEkDtWXyQO15Yh6YrD122dKwhYc/e5hSdykAc4fO5d4J98Y2ZWUM/GE/X1d/zfK9y1hRvoImf3P0ctExRTEyrbWF89xNZITDPfZv8as4H2s9JftLGTuEEKK7YGUlpXPmEm5sxHHeeeQ8/ddev8eSnzk0Mm4IIURs+nvcOCYBsH2tW7eONWvWcP7550eqg8Vi3wDY888/z3PPPceaNWsi65KSkli4cCEzZszo12uOxak6yAshRF9In6mRdhBCiNhIfxklbSGEELGR/lIj7SCOV4FwgJs+uIlNDZsYmTKSVy5+BbPBfFTO/UHpBzz86cOE1BDn5pzLU2c/gXX5I/DVM9oGU++GC34L+kOYUKN2Cyy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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nrows = len(ds)\n", - "ncols = len(kinds_func)*len(kinds_coeff)\n", - "print('logging')\n", - "fig,ax = pyplot.subplots(nrows=nrows,ncols=ncols,figsize=(ncols*5,nrows*5),sharey=True,sharex=True)\n", - "ax = ax.reshape(nrows,ncols)\n", - "colors = pyplot.rcParams['axes.prop_cycle'].by_key()['color'] + [\"indigo\"]\n", - "for v,(name,x_full) in enumerate(pts.items()):\n", - " print('%20s d: '%name,end='',flush=True)\n", - " for j,d in enumerate(ds):\n", - " print('%d, '%d,end='',flush=True)\n", - " for i1,kind_func in enumerate(kinds_func):\n", - " for i2,kind_coeff in enumerate(kinds_coeff):\n", - " i = len(kinds_coeff)*i1+i2\n", - " tag = '%s.%d'%(kind_func,kind_coeff)\n", - " genz = Genz(IIDStdUniform(d),kind_func=kind_func,kind_coeff=kind_coeff)\n", - " y_full = genz.f(x_full[:,:d])\n", - " mu_hats = array([y_full[:n].mean() for n in ns],dtype=float)\n", - " error = abs(mu_hats-ref_sols.loc[d,tag])\n", - " ax[j,i].plot(ns,error,label=name, color=colors[v])\n", - " if v==(len(pts)-1): ax[j,i].legend(loc='lower left')\n", - " if v>0: continue\n", - " ax[j,i].set_xscale('log',base=2)\n", - " ax[j,i].set_yscale('log',base=10)\n", - " if i==0: ax[j,i].set_ylabel(r'$d=%d$\\\\$\\varepsilon = \\lvert \\mu - \\hat{\\mu} \\rvert$'%d)\n", - " if j==0: ax[j,i].set_title(tag)\n", - " if j==(len(ds)-1):\n", - " ax[j,i].set_xlabel(r'$n$')\n", - " ax[j,i].set_xticks(ns)\n", - " ax[j,i].set_xlim([ns.min(),ns.max()])\n", - " print()" + "data": { + "image/png": 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+ "text/plain": [ + "
" ] + }, + "metadata": {}, + "output_type": "display_data" } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "gpuType": "L4", - "provenance": [] - }, - "kernelspec": { - "display_name": "qmcpy", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.13" - } + ], + "source": [ + "nrows = len(ds)\n", + "ncols = len(kinds_func)*len(kinds_coeff)\n", + "print('logging')\n", + "fig,ax = pyplot.subplots(nrows=nrows,ncols=ncols,figsize=(ncols*5,nrows*5),sharey=True,sharex=True)\n", + "ax = ax.reshape(nrows,ncols)\n", + "colors = pyplot.rcParams['axes.prop_cycle'].by_key()['color'] + [\"indigo\"]\n", + "for v,(name,x_full) in enumerate(pts.items()):\n", + " print('%20s d: '%name,end='',flush=True)\n", + " for j,d in enumerate(ds):\n", + " print('%d, '%d,end='',flush=True)\n", + " for i1,kind_func in enumerate(kinds_func):\n", + " for i2,kind_coeff in enumerate(kinds_coeff):\n", + " i = len(kinds_coeff)*i1+i2\n", + " tag = '%s.%d'%(kind_func,kind_coeff)\n", + " genz = Genz(IIDStdUniform(d),kind_func=kind_func,kind_coeff=kind_coeff)\n", + " y_full = genz.f(x_full[:,:d])\n", + " mu_hats = array([y_full[:n].mean() for n in ns],dtype=float)\n", + " error = abs(mu_hats-ref_sols.loc[d,tag])\n", + " ax[j,i].plot(ns,error,label=name, color=colors[v])\n", + " if v==(len(pts)-1): ax[j,i].legend(loc='lower left')\n", + " if v>0: continue\n", + " ax[j,i].set_xscale('log',base=2)\n", + " ax[j,i].set_yscale('log',base=10)\n", + " if i==0: ax[j,i].set_ylabel(r'$d=%d$\\\\$\\varepsilon = \\lvert \\mu - \\hat{\\mu} \\rvert$'%d)\n", + " if j==0: ax[j,i].set_title(tag)\n", + " if j==(len(ds)-1):\n", + " ax[j,i].set_xlabel(r'$n$')\n", + " ax[j,i].set_xticks(ns)\n", + " ax[j,i].set_xlim([ns.min(),ns.max()])\n", + " print()" + ] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "gpuType": "L4", + "provenance": [] + }, + "kernelspec": { + "display_name": "qmcpy", + "language": "python", + "name": "python3" }, - "nbformat": 4, - "nbformat_minor": 5 + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 } diff --git a/demos/GBM/gbm_demo.ipynb b/demos/GBM/gbm_demo.ipynb index 85acf5f6b..700bc61a3 100644 --- a/demos/GBM/gbm_demo.ipynb +++ b/demos/GBM/gbm_demo.ipynb @@ -20,11 +20,23 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", + " import sys\n", + " import os\n", + " repo_root = \"/content/QMCSoftware\"\n", + " notebook_dir = f\"{repo_root}/demos/GBM\"\n", + " if not os.path.isdir(repo_root):\n", + " !git clone -q --depth 1 https://github.com/QMCSoftware/QMCSoftware {repo_root}\n", " !pip install -q qmcpy\n", + " !pip install -q ipywidgets\n", + " os.chdir(notebook_dir)\n", + " if notebook_dir not in sys.path:\n", + " sys.path.insert(0, notebook_dir)\n", + " extra_path = f\"{repo_root}/demos/GBM/gbm_code\"\n", + " if extra_path not in sys.path:\n", + " sys.path.insert(0, extra_path)\n", "except:\n", " pass" ] diff --git a/demos/GBM/gbm_examples.ipynb b/demos/GBM/gbm_examples.ipynb index 20b156f75..f8f2b5bd4 100644 --- a/demos/GBM/gbm_examples.ipynb +++ b/demos/GBM/gbm_examples.ipynb @@ -8,6 +8,39 @@ "This notebook demonstrates MAE plots and comparisons for GBM samplers. " ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/GBM/gbm_examples.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " import sys\n", + " import os\n", + " repo_root = \"/content/QMCSoftware\"\n", + " notebook_dir = f\"{repo_root}/demos/GBM\"\n", + " if not os.path.isdir(repo_root):\n", + " !git clone -q --depth 1 https://github.com/QMCSoftware/QMCSoftware {repo_root}\n", + " !pip install -q qmcpy\n", + " os.chdir(notebook_dir)\n", + " if notebook_dir not in sys.path:\n", + " sys.path.insert(0, notebook_dir)\n", + " extra_path = f\"{repo_root}/demos/GBM/gbm_code\"\n", + " if extra_path not in sys.path:\n", + " sys.path.insert(0, extra_path)\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/acceptance_rejection.ipynb b/demos/acceptance_rejection.ipynb index b9952d4ee..d8b12f150 100644 --- a/demos/acceptance_rejection.ipynb +++ b/demos/acceptance_rejection.ipynb @@ -22,7 +22,6 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", diff --git a/demos/asian-option-mlqmc.ipynb b/demos/asian-option-mlqmc.ipynb index 383ca7c7b..638280662 100644 --- a/demos/asian-option-mlqmc.ipynb +++ b/demos/asian-option-mlqmc.ipynb @@ -1,52 +1,51 @@ { "cells": [ { - "cell_type": "code", - "execution_count": 1, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import qmcpy as qp" + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/asian-option-mlqmc.ipynb)" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "seed = 7" + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 1, "metadata": {}, + "outputs": [], "source": [ - "# Comparison of multilevel (Quasi-)Monte Carlo for an Asian option problem" + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import qmcpy as qp" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 2, "metadata": {}, + "outputs": [], "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/asian-option-mlqmc.ipynb)" + "seed = 7" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "%%capture\n", - "# @title Execute this cell to install dependencies\n", - "try:\n", - " import google.colab\n", - " !pip install -q qmcpy\n", - "except:\n", - " pass" + "# Comparison of multilevel (Quasi-)Monte Carlo for an Asian option problem" ] }, { diff --git a/demos/control_variates.ipynb b/demos/control_variates.ipynb index d35bed466..64d38c93b 100644 --- a/demos/control_variates.ipynb +++ b/demos/control_variates.ipynb @@ -24,7 +24,6 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", diff --git a/demos/demo_resume_data/Iteration_Log_Tolerance_Demo.ipynb b/demos/demo_resume_data/Iteration_Log_Tolerance_Demo.ipynb index ed0adbaea..5c9b4fa36 100644 --- a/demos/demo_resume_data/Iteration_Log_Tolerance_Demo.ipynb +++ b/demos/demo_resume_data/Iteration_Log_Tolerance_Demo.ipynb @@ -21,6 +21,27 @@ "This naive approach requires re-running the solver for every target tolerance. This method suffers from poor scaling, making it impractical for large-scale parameter sweeps.\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/demo_resume_data/Iteration_Log_Tolerance_Demo.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/demo_resume_data/accuracy_and_resume.ipynb b/demos/demo_resume_data/accuracy_and_resume.ipynb index 54522254f..a1b1f81a4 100644 --- a/demos/demo_resume_data/accuracy_and_resume.ipynb +++ b/demos/demo_resume_data/accuracy_and_resume.ipynb @@ -39,6 +39,36 @@ " " ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/demo_resume_data/accuracy_and_resume.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " import sys\n", + " import os\n", + " repo_root = \"/content/QMCSoftware\"\n", + " notebook_dir = f\"{repo_root}/demos/demo_resume_data\"\n", + " if not os.path.isdir(repo_root):\n", + " !git clone -q --depth 1 https://github.com/QMCSoftware/QMCSoftware {repo_root}\n", + " !pip install -q qmcpy\n", + " os.chdir(notebook_dir)\n", + " if notebook_dir not in sys.path:\n", + " sys.path.insert(0, notebook_dir)\n", + "except:\n", + " pass" + ] + }, { "cell_type": "markdown", "id": "f0412d13", diff --git a/demos/demo_resume_data/resume_examples.ipynb b/demos/demo_resume_data/resume_examples.ipynb index 84e42c45e..2e5746330 100644 --- a/demos/demo_resume_data/resume_examples.ipynb +++ b/demos/demo_resume_data/resume_examples.ipynb @@ -23,6 +23,36 @@ "For small examples, wall-clock timing differences can be negligible; performance gains become clearer when the initial run already used substantial work." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/demo_resume_data/resume_examples.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " import sys\n", + " import os\n", + " repo_root = \"/content/QMCSoftware\"\n", + " notebook_dir = f\"{repo_root}/demos/demo_resume_data\"\n", + " if not os.path.isdir(repo_root):\n", + " !git clone -q --depth 1 https://github.com/QMCSoftware/QMCSoftware {repo_root}\n", + " !pip install -q qmcpy\n", + " os.chdir(notebook_dir)\n", + " if notebook_dir not in sys.path:\n", + " sys.path.insert(0, notebook_dir)\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/digital_net_b2.ipynb b/demos/digital_net_b2.ipynb index 3e26202f2..619d4dbf6 100644 --- a/demos/digital_net_b2.ipynb +++ b/demos/digital_net_b2.ipynb @@ -7,6 +7,27 @@ "# Digital Net Base 2 Generator" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/digital_net_b2.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/elliptic-pde.ipynb b/demos/elliptic-pde.ipynb index a3b0f84cc..fb8c235a7 100644 --- a/demos/elliptic-pde.ipynb +++ b/demos/elliptic-pde.ipynb @@ -4,8 +4,6 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Elliptic PDE\n", - "\n", "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/elliptic-pde.ipynb)" ] }, @@ -15,13 +13,11 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " !pip install -q qmcpy\n", - " !apt-get update -qq\n", - " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", + " !apt-get update && apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", "except:\n", " pass" ] diff --git a/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb b/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb index 687ba2ab1..999a16b4b 100644 --- a/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb +++ b/demos/gaussian_diagnostics/gaussian_diagnostics_demo.ipynb @@ -22,7 +22,6 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", diff --git a/demos/iris.ipynb b/demos/iris.ipynb index 0f1b141e2..48b5feb10 100644 --- a/demos/iris.ipynb +++ b/demos/iris.ipynb @@ -4,11 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# ML Sensitivity Indices\n", - "\n", - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/iris.ipynb)\n", - "\n", - "This notebook demonstrates QMCPy's support for vectorized sensitivity index computation. We preview this functionality by performing classification of Iris species using a decision tree. The computed sensitivity indices provide insight into input subset importance for a classic machine learning problem." + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/iris.ipynb)" ] }, { @@ -17,11 +13,11 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " !pip install -q qmcpy\n", + " !pip install -q scikit-learn scikit-optimize\n", "except:\n", " pass" ] diff --git a/demos/lattice_random_generator.ipynb b/demos/lattice_random_generator.ipynb index 50c518314..76fb2ca43 100644 --- a/demos/lattice_random_generator.ipynb +++ b/demos/lattice_random_generator.ipynb @@ -7,6 +7,27 @@ "# Random Lattice Generators Are Not Bad\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/lattice_random_generator.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 16, diff --git a/demos/lebesgue_integration.ipynb b/demos/lebesgue_integration.ipynb index 0c5ae7b3c..cdc6521c3 100644 --- a/demos/lebesgue_integration.ipynb +++ b/demos/lebesgue_integration.ipynb @@ -21,7 +21,6 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", diff --git a/demos/linear-scrambled-halton.ipynb b/demos/linear-scrambled-halton.ipynb index b1da04703..19323a03d 100644 --- a/demos/linear-scrambled-halton.ipynb +++ b/demos/linear-scrambled-halton.ipynb @@ -7,6 +7,27 @@ "# Linear Matrix Scrambling and Digital Shift for Halton" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/linear-scrambled-halton.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/demos/nei_demo.ipynb b/demos/nei_demo.ipynb index 2558e459c..c2671e88d 100644 --- a/demos/nei_demo.ipynb +++ b/demos/nei_demo.ipynb @@ -9,6 +9,27 @@ "You can also look at the Botorch implementation, but that requires a lot more understanding of code which involves Pytorch. So we tried to put a simple example together here." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/nei_demo.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/plot_proj_function.ipynb b/demos/plot_proj_function.ipynb index 58239d547..bdc494284 100644 --- a/demos/plot_proj_function.ipynb +++ b/demos/plot_proj_function.ipynb @@ -7,6 +7,27 @@ "# The QMCPY Plot Projection Function for Discrete Distribution and True Measure" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/plot_proj_function.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/demos/pricing_options.ipynb b/demos/pricing_options.ipynb index 791580669..7e0759ae5 100644 --- a/demos/pricing_options.ipynb +++ b/demos/pricing_options.ipynb @@ -11,6 +11,27 @@ "- The option is only exercised at expiry, unlike American options, which can be exercised at any time before expiry.\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/pricing_options.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 36, diff --git a/demos/qei-demo-for-blog.ipynb b/demos/qei-demo-for-blog.ipynb index a7dc6ad62..b95c7f8ee 100644 --- a/demos/qei-demo-for-blog.ipynb +++ b/demos/qei-demo-for-blog.ipynb @@ -7,6 +7,27 @@ "# QEI (Q-Noisy Expected Improvement) Demo for Blog" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/qei-demo-for-blog.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/qmcpy_intro.ipynb b/demos/qmcpy_intro.ipynb index 21972bba9..6283c2542 100644 --- a/demos/qmcpy_intro.ipynb +++ b/demos/qmcpy_intro.ipynb @@ -21,7 +21,6 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", diff --git a/demos/quickstart.ipynb b/demos/quickstart.ipynb index 2e85de717..dbd9aed74 100644 --- a/demos/quickstart.ipynb +++ b/demos/quickstart.ipynb @@ -25,7 +25,6 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", diff --git a/demos/ray_tracing.ipynb b/demos/ray_tracing.ipynb index e9f9bf0d4..613528ae0 100644 --- a/demos/ray_tracing.ipynb +++ b/demos/ray_tracing.ipynb @@ -12,6 +12,27 @@ "by Paul Rademacher](http://wwwx.cs.unc.edu/~rademach/xroads-RT/RTarticle.html)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/ray_tracing.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 9, diff --git a/demos/sample_scatter_plots.ipynb b/demos/sample_scatter_plots.ipynb index 33d434234..186ac9177 100644 --- a/demos/sample_scatter_plots.ipynb +++ b/demos/sample_scatter_plots.ipynb @@ -7,6 +7,27 @@ "# Scatter Plots of Samples" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/sample_scatter_plots.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 14, diff --git a/demos/scipywrapper_dependence_custom/scipywrapper_demo.ipynb b/demos/scipywrapper_dependence_custom/scipywrapper_demo.ipynb index 22e42362e..9af9f2677 100644 --- a/demos/scipywrapper_dependence_custom/scipywrapper_demo.ipynb +++ b/demos/scipywrapper_dependence_custom/scipywrapper_demo.ipynb @@ -1,5 +1,26 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/scipywrapper_dependence_custom/scipywrapper_demo.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/some_true_measures.ipynb b/demos/some_true_measures.ipynb index cea9c1366..3f6c2440f 100644 --- a/demos/some_true_measures.ipynb +++ b/demos/some_true_measures.ipynb @@ -8,6 +8,27 @@ "In this notebook we explore some of the new, lesser-known, `TrueMeasure` instances in QMCPy. Specifically, we look at the Kumaraswamy, Continuous Bernoulli, and Johnson's $S_U$ measures." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/some_true_measures.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb b/demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb index 39e714c79..ccbcf4b1b 100644 --- a/demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb +++ b/demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb @@ -7,6 +7,28 @@ "# Quasi-Monte Carlo Generators, Randomizers, and Fast Transforms" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + " !pip install -q sympy torch tueplots\n", + "except:\n", + " pass" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb index 423a3a7c5..83ea29296 100644 --- a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb +++ b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb @@ -10,7 +10,6 @@ }, { "cell_type": "markdown", - "id": "a32d4c28", "metadata": {}, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/JOSS2026/joss2026.ipynb)" @@ -22,13 +21,11 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " !pip install -q qmcpy\n", - " !apt-get update -qq\n", - " !apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", + " !pip install -q seaborn tueplots\n", "except:\n", " pass" ] diff --git a/demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb b/demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb index 2e54f18f4..31a8118f2 100644 --- a/demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb +++ b/demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb @@ -1,3514 +1,3536 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "0xwyIP8iF1oa" - }, - "source": [ - "[QMCPy]: https://qmcsoftware.github.io/QMCSoftware/ \"Choi, S.-C. T., Hickernell, F. J., McCourt, M. & Sorokin, A. A quasi-Monte Carlo Python Library. https://qmcsoftware.github.io/QMCSoftware/. 2020.\"\n", - "\n", - "[GAIL]: http://gailgithub.github.io/GAIL_Dev/ \"Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell, Lan Jiang, Lluis Antoni Jimenez Rugama, Da Li, Jagadeeswaran Rathinavel, Xin Tong, Kan Zhang, Yizhi Zhang, and Xuan Zhou, GAIL: Guaranteed Automatic Integration Library (Version 2.3.1) [MATLAB Software], 2020. Available from `http://gailgithub.github.io/GAIL_Dev/`\"\n", - "\n", - "[NumPy]: https://pypi.org/project/numpy/ \"Oliphant, T. Guide to NumPy https://ecs.wgtn.ac.nz/foswiki/pub/Support/ManualPagesAndDocumentation/numpybook.pdf (TrelgolPublishing USA, 2006).\"\n", - "\n", - "[Scipy]: https://pypi.org/project/scipy/ \"Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E.A. Quintero, Charles R Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. (2020) SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, in press.\"\n", - "\n", - "[QRNG]: https://CRAN.R-project.org/package=qrng \"Marius Hofert and Christiane Lemieux (2019). qrng: (Randomized) Quasi-Random Number Generators. R package version 0.0-7. `https://CRAN.R-project.org/package=qrng`.\"\n", - "\n", - "[OwenHalton]: https://arxiv.org/abs/1706.02808 \"Owen, A. B. 'A randomized Halton algorithm in R,' 2017. arXiv:1706.02808 [stat.CO]\"\n", - "\n", - "[MPS]: https://people.cs.kuleuven.be/~dirk.nuyens/qmc-generators/ \"F. Y. Kuo and D. Nuyens. 'Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients - a survey of analysis and implementation,' Foundations of Computational Mathematics, 16(6):1631-1696, 2016. ([springer link](https://link.springer.com/article/10.1007/s10208-016-9329-5), [arxiv link](https://arxiv.org/abs/1606.06613))\"\n", - "\n", - "[CubMCML]: https://pubsonline.informs.org/doi/abs/10.1287/opre.1070.0496 \"Giles, M. Multilevel Monte Carlo Path Simulation. Operations Research 56,607–617 (June 2008).\"\n", - "\n", - "[CubQMCML]: https://www.semanticscholar.org/paper/Multilevel-quasi-Monte-Carlo-path-simulation-Giles-Waterhouse/25a9ca3aa216aa371d1be06fa9b93927187ee4ca \"Giles, M. B. & Waterhouse, B. J. Multilevel quasi-Monte Carlo path simulation. Advanced Financial Modelling, Radon Series on Computational and Applied Mathematics 8,165–181 (2009).\"\n", - "\n", - "[GilesSoftware]: http://people.maths.ox.ac.uk/~gilesm/mlmc/\n", - "\n", - "[PyTorch]: https://pytorch.org\n", - "\n", - "[LatticeBuilder]: http://simul.iro.umontreal.ca/latbuilder/ \"L’Ecuyer, Pierre & Munger, David. (2015). LatticeBuilder: A General Software Tool for Constructing Rank-1 Lattice Rules. ACM Transactions on Mathematical Software. 42. 10.1145/2754929.\"\n", - "\n", - "# Quasi-Monte Carlo (QMC) Software in QMCPy\n", - "\n", - "A tutorial based on this notebook is at https://media.ed.ac.uk/playlist/dedicated/51612401/1_0z0wec2z/1_2k12mwiw.\n", - "\n", - "As an example of available QMC software, we introduce the Python library [QMCPy][QMCPy]. This Jupyter notebook saves your typing. \n", - "\n", - "QMCPy is a community effort. This early release includes contributions from\n", - "\n", - "* Mike Giles [MLMC][CubMCML] and [MLQMC][CubQMCML] [software][GilesSoftware]\n", - "* Marius Hofert and Christiane Lemieux's [QRNG][QRNG]\n", - "* Pierre L'Ecuyer's [Lattice Builder][LatticeBuilder]\n", - "* Dirk Nuyens's [Magic Point Shop (MPS)][MPS]\n", - "* Art Owen's [Halton sequences][OwenHalton]\n", - "* [PyTorch][PyTorch]\n", - "* Guaranteed Automatic Integration Library [(GAIL)][GAIL]\n", - "\n", - "and depends on the [NumPy][NumPy] and [SciPy][SciPy] Python packages.\n", - "\n", - "View the companion pdf slides at https://speakerdeck.com/fjhickernell/quasi-monte-carlo-software and the introductory QMCPy blog at https://qmcpy.wordpress.com." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "EbOXiuCQVs46" - }, - "source": [ - "\n", - "\n", - "## Installation\n", - "QMCPy can be installed with ``pip install qmcpy`` or cloned from the [QMCSoftware GitHub repository](https://github.com/QMCSoftware/QMCSoftware). " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "6Z9pGNDeWIBw", - "outputId": "481b6697-de4a-498b-ce14-18fe3926f839" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "QMCPy Version 1.6.3.2a\n" - ] - } - ], - "source": [ - "import qmcpy #we import the environment at the start to use it\n", - "import numpy as np #basic numerical routines in Python\n", - "import time #timing routines\n", - "import warnings #to suppress warnings when needed\n", - "import torch #only needed for PyTorch Sobol' backend\n", - "from torch.quasirandom import SobolEngine\n", - "from matplotlib import pyplot; #plotting\n", - "\n", - "pyplot.rc('font', size=16) #set defaults so that the plots are readable\n", - "pyplot.rc('axes', titlesize=16)\n", - "pyplot.rc('axes', labelsize=16)\n", - "pyplot.rc('xtick', labelsize=16)\n", - "pyplot.rc('ytick', labelsize=16)\n", - "pyplot.rc('legend', fontsize=16)\n", - "pyplot.rc('figure', titlesize=16)\n", - "\n", - "#a helpful plotting method to show increasing numbers of points\n", - "def plot_successive_points(distrib,ld_name,first_n=64,n_cols=1,pt_clr='bgkcmy',\n", - " xlim=[0,1],ylim=[0,1],coord1 = 0,coord2 = 1):\n", - " fig,ax = pyplot.subplots(nrows=1,ncols=n_cols,figsize=(5*n_cols,5.5))\n", - " if n_cols==1: ax = [ax]\n", - " last_n = first_n*(2**n_cols)\n", - " points = distrib.gen_samples(n=last_n)\n", - " for i in range(n_cols):\n", - " n = first_n\n", - " nstart = 0\n", - " for j in range(i+1):\n", - " n = first_n*(2**j)\n", - " ax[i].scatter(points[nstart:n,coord1],points[nstart:n,coord2],color=pt_clr[j])\n", - " nstart = n\n", - " ax[i].set_title('n = %d'%n)\n", - " ax[i].set_xlim(xlim); ax[i].set_xticks(xlim); ax[i].set_xlabel('$x_{i,%d}$'%(coord1+1))\n", - " ax[i].set_ylim(ylim); ax[i].set_yticks(ylim); ax[i].set_ylabel('$x_{i,%d}$'%(coord2+1))\n", - " ax[i].set_aspect((xlim[1]-xlim[0])/(ylim[1]-ylim[0]))\n", - " fig.suptitle('%s Points'%ld_name)\n", - "print('QMCPy Version',qmcpy.__version__)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "VuiiIKLQZW0G" - }, - "source": [ - "## Generating low discrepancy (LD) points via a ``DiscreteDistribution`` object\n", - "\n", - "We generate some points used for quasi-Monte Carlo methods. These points are called low discrepancy (LD for short) and are created as an instance of a ``DiscreteDistribution`` class." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "bWz-RtrMHll7" - }, - "source": [ - "### Integration lattices\n", - "\n", - "Here are some (randomly shifted) integration lattice points. This is a two step procees: \n", - "\n", - "i) construct the ``DiscreteDistribution`` object ``lattice``, and then\n", - "\n", - "ii) construct a number of points from the sequence. \n", - "\n", - "The structure of these points favors ``n`` that is a power of 2." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 834 - }, - "id": "JhMZcYfOhchK", - "outputId": "90ac5112-0e25-4c18-99f6-494d9164fa85" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Lattice (AbstractLDDiscreteDistribution)\n", - " d 2^(1)\n", - " replications 1\n", - " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 264030601762852985433978628854999910438\n", - "\n", - "LD Lattice Points with shape (16, 2)\n", - "[[0.14448802 0.23129441]\n", - " [0.64448802 0.73129441]\n", - " [0.39448802 0.98129441]\n", - " [0.89448802 0.48129441]\n", - " [0.26948802 0.60629441]\n", - " [0.76948802 0.10629441]\n", - " [0.51948802 0.35629441]\n", - " [0.01948802 0.85629441]\n", - " [0.20698802 0.91879441]\n", - " [0.70698802 0.41879441]\n", - " [0.45698802 0.66879441]\n", - " [0.95698802 0.16879441]\n", - " [0.33198802 0.29379441]\n", - " [0.83198802 0.79379441]\n", - " [0.58198802 0.04379441]\n", - " [0.08198802 0.54379441]]\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "lattice = qmcpy.Lattice(dimension=2) #define a discrete LD distribution based on an integration lattice\n", - "print(lattice) #print the properties of the lattice object\n", - "n = 16 #number of points to generate\n", - "points = lattice.gen_samples(n) #construct some points\n", - "print(f'\\nLD Lattice Points with shape {points.shape}\\n'+str(points)) #these points have 15 significant digit precision but only three digits are shown\n", - "plot_successive_points(lattice,'Lattice',n)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "WztUPDqptYOp" - }, - "source": [ - "Rerunning the commands above yields a different sequence of points because these points are _randomly shifted_ modulo 1.\n", - "\n", - "We may also construct a subsequence of points in the middle of the sequence. Note that the points below match those above." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "wTM9Mi5otlZF", - "outputId": "b1b5e967-e8cc-4f32-c3c3-307cacfb51fa" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LD Lattice Points with shape (12, 2) \n", - "[[0.26948802 0.60629441]\n", - " [0.76948802 0.10629441]\n", - " [0.51948802 0.35629441]\n", - " [0.01948802 0.85629441]\n", - " [0.20698802 0.91879441]\n", - " [0.70698802 0.41879441]\n", - " [0.45698802 0.66879441]\n", - " [0.95698802 0.16879441]\n", - " [0.33198802 0.29379441]\n", - " [0.83198802 0.79379441]\n", - " [0.58198802 0.04379441]\n", - " [0.08198802 0.54379441]]\n" - ] - } - ], - "source": [ - "more_points = lattice.gen_samples(n_min=4,n_max=n) #get more points\n", - "print('LD Lattice Points with shape',more_points.shape,'\\n'+str(more_points))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "aR5Z5rSMFBN9" - }, - "source": [ - "Each $d$-dimensional point is _one row_ in the array.\n", - "\n", - "As we increase the number of points, they fill $[0,1]^d$ evenly. The next points are placed in between the existing points. Here we illustrate with $d=2$." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 321 - }, - "id": "sEF-IqqeckC-", - "outputId": "991b6b14-442f-4b30-bb87-b8c4b6e3be5b" - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_successive_points(lattice,'Lattice',n_cols=5)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "14UexIYSJr2r" - }, - "source": [ - "### IID uniform points do not fill space as well\n", - "\n", - "Contrast this with independent and identically distributed (IID) points. Although successive points fill the square, they do so without knowledge of the others and produce clusters and gaps. Think of it this way\n", - "\n", - "* LD = evenly spread\n", - "* IID = points do not know about each other\n", - "\n", - "(Since the first parameter in the ``DiscreteDistribution`` object is the dimension, you need not identify it.)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rWJEGbqPJ4Ap", - "outputId": "84fc821b-f4a9-4b27-895c-b5ee710f05c5" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", - " d 2^(1)\n", - " replications 1\n", - " entropy 151929946340103232908357805579611369175\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "iid = qmcpy.IIDStdUniform(2) #standard uniform IID random vector generator from NumPy\n", - "print(iid) #print the properties of iid\n", - "plot_successive_points(iid,'IID Uniform',n_cols=5)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "57P6amgaMV36" - }, - "source": [ - "### Rows and columns are _not_ interchangeable for LD\n", - "\n", - "For LD sequences we must differentiate between the cooordinates of the point (column) and which point (row). The transpose of an LD array is _not_ LD. This differs from IID multivariate points with IID marginals.\n", - "\n", - "In the example below we reverse the roles of the rows and columns. The transposed lattice points do not fill space at all, while the transposed IID points are as good as the originals." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 346 - }, - "id": "TluhjiIyM12p", - "outputId": "56834502-f203-4630-8755-d7f278b3f47f" - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "d = 16 #dimension\n", - "n = 2 #number of points\n", - "lattice = qmcpy.Lattice(d) #define a discrete LD distribution based on an integration lattice\n", - "lattice_pts = lattice.gen_samples(n) #the first parameter in the .gen_samples method is the number of points\n", - "iid = qmcpy.IIDStdUniform(d)\n", - "iid_pts = iid.gen_samples(n)\n", - "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(10,5.5))\n", - "ax[0].scatter(lattice_pts[0,0:d],lattice_pts[1,0:d],color='b')\n", - "ax[0].set_title('Transposed Lattice Points')\n", - "ax[1].scatter(iid_pts[0,0:d],iid_pts[1,0:d],color='b')\n", - "ax[1].set_title('Transposed IID Points')\n", - "for ii in range(2):\n", - " ax[ii].set_xlim([0,1]); ax[ii].set_xticks([0,1]); ax[ii].set_xlabel('$x_{1,j}$')\n", - " ax[ii].set_ylim([0,1]); ax[ii].set_yticks([0,1]); ax[ii].set_ylabel('$x_{2,j}$')\n", - " ax[ii].set_aspect(1)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "5TUH0dtfICP8" - }, - "source": [ - "### Sobol' points\n", - "\n", - "Another LD sequence is the Sobol' points. Again, new points fill in the gaps between existing points. Since these are randomly digitally shifted Sobol' points, rerunning this command gives a different set of points. For Sobol' points as well, ``n`` should normally be a power of 2." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 753 - }, - "id": "iZN7mN98ktsR", - "outputId": "b20e7b2e-229e-4d5d-e271-345553f2eedb" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 2^(1)\n", - " replications 1\n", - " randomize LMS DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order RADICAL INVERSE\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 73208827127383995610457310988530317873\n", - "\n", - "LD Sobol' Points with shape (16, 2)\n", - "[[0.9431598 0.47365992]\n", - " [0.22125498 0.72515188]\n", - " [0.66129464 0.90348679]\n", - " [0.37738574 0.15491697]\n", - " [0.79964553 0.60309908]\n", - " [0.02104669 0.35362196]\n", - " [0.58028993 0.0173281 ]\n", - " [0.36467173 0.76778926]\n", - " [0.88650748 0.81477058]\n", - " [0.16853181 0.06430855]\n", - " [0.72964997 0.30712722]\n", - " [0.44965495 0.55660491]\n", - " [0.87190807 0.20193054]\n", - " [0.0894106 0.95049973]\n", - " [0.52754482 0.67862835]\n", - " [0.30804326 0.4271372 ]]\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "sobol = qmcpy.Sobol(2) #Sobol LD generator\n", - "print(sobol) #note below that the default is qrng from Hofert and Lemieux\n", - "points = sobol.gen_samples(16)\n", - "print(f'\\nLD Sobol\\' Points with shape {points.shape}\\n'+str(points))\n", - "plot_successive_points(sobol,'Sobol\\'',n_cols=5)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "urJl7sPxyAK1" - }, - "source": [ - "### Halton Points\n", - "\n", - "A third kind of LD sequence is Halton points, which are also randomized. Again, new points fill in the gaps between existing points. For Halton points there are no favored numbers of points." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 822 - }, - "id": "ibwyHF1yk6Lc", - "outputId": "6af17660-7aeb-4cc1-9e96-d6bc69390dbd" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Halton (AbstractLDDiscreteDistribution)\n", - " d 2^(1)\n", - " replications 1\n", - " randomize LMS DP\n", - " t 63\n", - " n_limit 2^(32)\n", - " entropy 240669245053839331683025566616811162761\n", - "\n", - "LD Halton Points with shape (20, 2)\n", - "[[0.44785589 0.67105156]\n", - " [0.81034548 0.6477606 ]\n", - " [0.01802002 0.17997437]\n", - " [0.72376384 0.96444929]\n", - " [0.31082674 0.49671198]\n", - " [0.94638376 0.02481055]\n", - " [0.22522047 0.82620954]\n", - " [0.51752374 0.3543589 ]\n", - " [0.40526643 0.33101523]\n", - " [0.85320912 0.7104405 ]\n", - " [0.06844815 0.57598763]\n", - " [0.67312161 0.21524872]\n", - " [0.35369039 0.89273277]\n", - " [0.90379429 0.53194055]\n", - " [0.17457824 0.06420577]\n", - " [0.56795187 0.86102595]\n", - " [0.49980629 0.39323972]\n", - " [0.75841033 0.25883637]\n", - " [0.03822453 0.74815281]\n", - " [0.70357459 0.60958533]]\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "halton = qmcpy.Halton(2)\n", - "print(halton)\n", - "points = halton.gen_samples(20)\n", - "print(f'\\nLD Halton Points with shape {points.shape}\\n'+str(points))\n", - "plot_successive_points(halton,'Halton',n_cols=5,first_n=60)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "bBtpvlYMZeaN" - }, - "source": [ - "### Timing\n", - "The time to generate LD points depends on several factors, including the hardware and the particular generator. One can generate one million points in 64 dimensions in a matter of seconds, somewhat slower than IID uniform points. You may replace the ``DiscreteDistribution`` object in the first line of code below to test the timings of other kinds of points. Halton seems to be the slowest (probably because the backend is implemented in Python rather than C)." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "d8zkb03zZ2gp", - "outputId": "20c2473e-3a2c-4f1a-e25b-2953a53d6ed8" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Lattice (AbstractLDDiscreteDistribution)\n", - " d 2^(6)\n", - " replications 1\n", - " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 323672018533134169508871551556781883883\n", - "\n", - "LD Points with shape (1048576, 64)\n", - "[[4.84051442e-01 1.74980418e-01 6.35194475e-01 ... 7.14805235e-01\n", - " 1.59923415e-01 7.06555592e-02]\n", - " [9.84051442e-01 6.74980418e-01 1.35194475e-01 ... 2.14805235e-01\n", - " 6.59923415e-01 5.70655559e-01]\n", - " [7.34051442e-01 9.24980418e-01 3.85194475e-01 ... 9.64805235e-01\n", - " 9.09923415e-01 8.20655559e-01]\n", - " ...\n", - " [2.34050488e-01 2.50775592e-01 6.81364710e-01 ... 9.84270681e-01\n", - " 1.84181733e-02 2.36378406e-01]\n", - " [9.84050488e-01 5.00775592e-01 9.31364710e-01 ... 7.34270681e-01\n", - " 2.68418173e-01 4.86378406e-01]\n", - " [4.84050488e-01 7.75592029e-04 4.31364710e-01 ... 2.34270681e-01\n", - " 7.68418173e-01 9.86378406e-01]]\n", - "\n", - "Time to construct points is 1.7e-01 seconds\n" - ] - } - ], - "source": [ - "ld = qmcpy.Lattice(64) #define a discrete LD distribution\n", - "print(ld) #print the properties of the lattice object\n", - "start_time = time.time() #time now\n", - "points = ld.gen_samples(2**20) #construct some points\n", - "end_time = time.time() #time after points are constructed\n", - "print(f'\\nLD Points with shape {points.shape}\\n'+str(points))\n", - "print(f'\\nTime to construct points is %.1e seconds'%(end_time - start_time))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "MNY43r8NyMe9" - }, - "source": [ - "### Transform LD sequences to mimic other distributions via a ``TrueMeasure`` object\n", - "LD sequences mimic $\\mathcal{U}[0,1]^d$ by design. If you want to mimic another distribution, LD points can be transformed accordingly. This is done via a ``TrueMeasure`` object, which takes a ``DiscreteDistribution`` object as input. Choose the ``TrueMeasure`` according to the probability distribution that you wish to mimic, and input the LD ``DiscreteDistribution`` object that you wish to use." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Co5pxkVDvzsL" - }, - "source": [ - "#### Uniform on $[\\boldsymbol{a},\\boldsymbol{b}]$\n", - "An affine transformation can be used to turn $\\mathcal{U}[0,1]^d$ points into $\\mathcal{U}[\\boldsymbol{a},\\boldsymbol{b}]$ points. The ``TrueMeasure`` object ``qmcpy.Uniform`` performs the transformation automatically. Then we generate points as before, but now they mimic our new distribution." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "v-QmQjMJsSiQ", - "outputId": "e55239f3-8e87-4f9b-b927-ef2fe1c45f0e" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Uniform (AbstractTrueMeasure)\n", - " lower_bound [-2 2]\n", - " upper_bound [2 4]\n", - "\n", - "Uniform LD points with shape (256, 2)\n", - "[[ 1.63211619e+00 3.73527085e+00]\n", - " [-1.96458235e+00 2.76718358e+00]\n", - " [ 9.09260722e-01 2.10405185e+00]\n", - " [-7.49905356e-01 3.38671429e+00]\n", - " [ 1.09655014e+00 2.74751185e+00]\n", - " [-1.31071479e+00 3.77735132e+00]\n", - " [ 3.18856288e-01 3.10066974e+00]\n", - " [-2.58190328e-02 2.38125511e+00]\n", - " [ 1.85902575e+00 2.35110377e+00]\n", - " [-1.55013461e+00 3.13179771e+00]\n", - " [ 5.74189117e-01 3.99793234e+00]\n", - " [-7.72499888e-01 2.52790732e+00]\n", - " [ 1.38496040e+00 3.35363327e+00]\n", - " [-1.20972064e+00 2.13615638e+00]\n", - " [ 1.70346353e-01 2.98483491e+00]\n", - " [-4.86928113e-01 3.51664289e+00]\n", - " [ 1.59319338e+00 2.83569329e+00]\n", - " [-1.75352515e+00 3.67851923e+00]\n", - " [ 8.70309343e-01 3.45102593e+00]\n", - " [-5.38819580e-01 2.04362477e+00]\n", - " [ 1.18259209e+00 3.83803777e+00]\n", - " [-1.47465285e+00 2.68294084e+00]\n", - " [ 4.04926810e-01 2.43774730e+00]\n", - " [-1.89785667e-01 3.03241946e+00]\n", - " [ 1.92921095e+00 3.18830328e+00]\n", - " [-1.72992369e+00 2.28284011e+00]\n", - " [ 6.44406709e-01 2.58858045e+00]\n", - " [-9.52321360e-01 3.93337465e+00]\n", - " [ 1.33015606e+00 2.20048515e+00]\n", - " [-1.01455070e+00 3.29318905e+00]\n", - " [ 1.15509619e-01 3.58513540e+00]\n", - " [-2.91725784e-01 2.92810048e+00]\n", - " [ 1.69674328e+00 2.02283906e+00]\n", - " [-1.89601564e+00 3.49030058e+00]\n", - " [ 9.81610664e-01 3.63771572e+00]\n", - " [-6.73680637e-01 2.85592312e+00]\n", - " [ 1.04382486e+00 3.02634606e+00]\n", - " [-1.35944513e+00 2.49563675e+00]\n", - " [ 2.58530228e-01 2.62559582e+00]\n", - " [-8.23294418e-02 3.84563622e+00]\n", - " [ 1.78281433e+00 3.87505519e+00]\n", - " [-1.62246743e+00 2.59520034e+00]\n", - " [ 5.05639523e-01 2.27578809e+00]\n", - " [-8.37113668e-01 3.24521810e+00]\n", - " [ 1.44145742e+00 2.88827178e+00]\n", - " [-1.14941179e+00 3.60634367e+00]\n", - " [ 2.19059476e-01 3.27338160e+00]\n", - " [-4.34216234e-01 2.24073455e+00]\n", - " [ 1.51690842e+00 3.42208176e+00]\n", - " [-1.82581517e+00 2.07936273e+00]\n", - " [ 8.01804452e-01 2.79132255e+00]\n", - " [-6.03508819e-01 3.69837261e+00]\n", - " [ 1.23904058e+00 2.43523923e+00]\n", - " [-1.41426473e+00 3.09068726e+00]\n", - " [ 4.53717300e-01 3.78885312e+00]\n", - " [-1.37120398e-01 2.69407406e+00]\n", - " [ 1.99388680e+00 2.53843444e+00]\n", - " [-1.66143601e+00 3.94351623e+00]\n", - " [ 7.16679522e-01 3.18480345e+00]\n", - " [-8.76049791e-01 2.34014643e+00]\n", - " [ 1.27750410e+00 3.54175642e+00]\n", - " [-1.06332406e+00 2.94891535e+00]\n", - " [ 5.51386166e-02 2.17250235e+00]\n", - " [-3.48160972e-01 3.32991865e+00]\n", - " [ 1.68443108e+00 2.66428490e+00]\n", - " [-1.96890853e+00 3.82156387e+00]\n", - " [ 8.98955486e-01 3.04917923e+00]\n", - " [-6.91855546e-01 2.45623134e+00]\n", - " [ 1.08720775e+00 3.66175516e+00]\n", - " [-1.25561124e+00 2.81720496e+00]\n", - " [ 3.72134031e-01 2.06227642e+00]\n", - " [-3.30914651e-02 3.46749554e+00]\n", - " [ 1.83223923e+00 3.31185587e+00]\n", - " [-1.50856227e+00 2.21693948e+00]\n", - " [ 6.09782398e-01 2.91132119e+00]\n", - " [-7.93551486e-01 3.56666242e+00]\n", - " [ 1.42346943e+00 2.29961511e+00]\n", - " [-1.23176561e+00 3.20677197e+00]\n", - " [ 1.46475575e-01 3.91470354e+00]\n", - " [-4.46349142e-01 2.57212184e+00]\n", - " [ 1.59862091e+00 3.76507331e+00]\n", - " [-1.80474448e+00 2.73253306e+00]\n", - " [ 8.13112855e-01 2.39554271e+00]\n", - " [-5.27659039e-01 3.11375194e+00]\n", - " [ 1.12638706e+00 2.75289168e+00]\n", - " [-1.46640614e+00 3.72218437e+00]\n", - " [ 4.11345801e-01 3.39898800e+00]\n", - " [-2.43918834e-01 2.11902634e+00]\n", - " [ 1.88678700e+00 2.14844526e+00]\n", - " [-1.70399443e+00 3.36859247e+00]\n", - " [ 6.64358817e-01 3.50233576e+00]\n", - " [-9.89012298e-01 2.97176378e+00]\n", - " [ 1.35305252e+00 3.14610054e+00]\n", - " [-1.05220258e+00 2.36417062e+00]\n", - " [ 7.60300175e-02 2.51561415e+00]\n", - " [-2.66757468e-01 3.98296885e+00]\n", - " [ 1.73720513e+00 3.07783324e+00]\n", - " [-1.92001307e+00 2.42066099e+00]\n", - " [ 9.59692714e-01 2.70882325e+00]\n", - " [-6.35054132e-01 3.80142033e+00]\n", - " [ 1.02289814e+00 2.06461688e+00]\n", - " [-1.32373269e+00 3.40951789e+00]\n", - " [ 2.99983303e-01 3.71122997e+00]\n", - " [-1.09240950e-01 2.80590412e+00]\n", - " [ 1.77542454e+00 2.96178788e+00]\n", - " [-1.56931658e+00 3.55632271e+00]\n", - " [ 5.60869853e-01 3.31515758e+00]\n", - " [-8.46338810e-01 2.15995383e+00]\n", - " [ 1.49963234e+00 3.95828065e+00]\n", - " [-1.15959764e+00 2.55098630e+00]\n", - " [ 2.14614269e-01 2.32727723e+00]\n", - " [-3.82026098e-01 3.17024050e+00]\n", - " [ 1.54175770e+00 2.47744239e+00]\n", - " [-1.86541953e+00 3.00935717e+00]\n", - " [ 7.64277676e-01 3.86181997e+00]\n", - " [-5.80492975e-01 2.64448040e+00]\n", - " [ 1.20247642e+00 3.47412016e+00]\n", - " [-1.39419538e+00 2.00395782e+00]\n", - " [ 4.79529198e-01 2.87412082e+00]\n", - " [-1.79671249e-01 3.65470795e+00]\n", - " [ 1.93963436e+00 3.62455655e+00]\n", - " [-1.65514201e+00 2.90524872e+00]\n", - " [ 7.25051103e-01 2.22453890e+00]\n", - " [-9.32135663e-01 3.25451570e+00]\n", - " [ 1.28879166e+00 2.61139932e+00]\n", - " [-1.12040307e+00 3.89392442e+00]\n", - " [ 3.80216143e-03 3.22700857e+00]\n", - " [-3.42860104e-01 2.25881449e+00]\n", - " [ 1.64846946e+00 2.25745798e+00]\n", - " [-1.94236157e+00 3.22540792e+00]\n", - " [ 9.33914805e-01 3.90407310e+00]\n", - " [-7.19383823e-01 2.62179213e+00]\n", - " [ 1.12267729e+00 3.25998869e+00]\n", - " [-1.28264265e+00 2.22976775e+00]\n", - " [ 3.37659195e-01 2.89097689e+00]\n", - " [-5.07107836e-03 3.61052886e+00]\n", - " [ 1.86025008e+00 3.64141262e+00]\n", - " [-1.54305808e+00 2.86106964e+00]\n", - " [ 5.82737638e-01 2.01040743e+00]\n", - " [-7.58099114e-01 3.48032563e+00]\n", - " [ 1.39594306e+00 2.65365246e+00]\n", - " [-1.19677768e+00 3.87123616e+00]\n", - " [ 1.73028253e-01 3.00702416e+00]\n", - " [-4.82285964e-01 2.47486523e+00]\n", - " [ 1.56267932e+00 3.15718932e+00]\n", - " [-1.77818702e+00 2.31398191e+00]\n", - " [ 8.48096027e-01 2.55719177e+00]\n", - " [-5.55180645e-01 3.96473026e+00]\n", - " [ 1.16183658e+00 2.16937002e+00]\n", - " [-1.49344805e+00 3.32432963e+00]\n", - " [ 3.76847111e-01 3.55374555e+00]\n", - " [-2.15905118e-01 2.95945487e+00]\n", - " [ 1.91480262e+00 2.80430347e+00]\n", - " [-1.73846451e+00 3.70987346e+00]\n", - " [ 6.37322628e-01 3.41991071e+00]\n", - " [-9.53537988e-01 2.07476556e+00]\n", - " [ 1.32552137e+00 3.80664918e+00]\n", - " [-1.01724039e+00 2.71429624e+00]\n", - " [ 1.02574124e-01 2.40663330e+00]\n", - " [-3.02716229e-01 3.06356141e+00]\n", - " [ 1.70919046e+00 3.96891344e+00]\n", - " [-1.88551344e+00 2.50131460e+00]\n", - " [ 9.86733664e-01 2.36943290e+00]\n", - " [-6.70502686e-01 3.15160697e+00]\n", - " [ 1.05042069e+00 2.98213078e+00]\n", - " [-1.35871681e+00 3.51245863e+00]\n", - " [ 2.73426806e-01 3.36702716e+00]\n", - " [-7.33003155e-02 2.14712409e+00]\n", - " [ 1.81138234e+00 2.11648441e+00]\n", - " [-1.59585973e+00 3.39669021e+00]\n", - " [ 5.25906716e-01 3.73157487e+00]\n", - " [-8.18806722e-01 2.76203804e+00]\n", - " [ 1.46415899e+00 3.11999072e+00]\n", - " [-1.13256241e+00 2.40202564e+00]\n", - " [ 2.49085294e-01 2.71945429e+00]\n", - " [-4.10042667e-01 3.75175039e+00]\n", - " [ 1.51373826e+00 2.56982405e+00]\n", - " [-1.83094564e+00 3.91216161e+00]\n", - " [ 7.91310047e-01 3.21591834e+00]\n", - " [-6.15963474e-01 2.30900561e+00]\n", - " [ 1.23000375e+00 3.57314535e+00]\n", - " [-1.42915375e+00 2.91755998e+00]\n", - " [ 4.52981281e-01 2.20361656e+00]\n", - " [-1.43708670e-01 3.29877709e+00]\n", - " [ 1.97557215e+00 3.45319600e+00]\n", - " [-1.68169565e+00 2.04822102e+00]\n", - " [ 6.90064120e-01 2.82271138e+00]\n", - " [-9.04610239e-01 3.66701745e+00]\n", - " [ 1.25333832e+00 2.46635421e+00]\n", - " [-1.09335735e+00 3.05954623e+00]\n", - " [ 3.82970322e-02 3.82024270e+00]\n", - " [-3.70870007e-01 2.66271959e+00]\n", - " [ 1.65976941e+00 3.34321421e+00]\n", - " [-1.99942245e+00 2.18555377e+00]\n", - " [ 8.82594568e-01 2.94246598e+00]\n", - " [-7.14068659e-01 3.53555119e+00]\n", - " [ 1.06841247e+00 2.33097414e+00]\n", - " [-1.27636677e+00 3.17538702e+00]\n", - " [ 3.46014554e-01 3.94584901e+00]\n", - " [-6.11712500e-02 2.54101136e+00]\n", - " [ 1.82369833e+00 2.69543034e+00]\n", - " [-1.52297062e+00 3.79045353e+00]\n", - " [ 6.08565743e-01 3.08053835e+00]\n", - " [-8.00635651e-01 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2.19133855e+00]\n", - " [ 1.00800914e+00 3.92713610e+00]\n", - " [-1.33276944e+00 2.58209776e+00]\n", - " [ 2.93395118e-01 2.29591913e+00]\n", - " [-1.09976944e-01 3.20162644e+00]\n", - " [ 1.75516493e+00 3.04647510e+00]\n", - " [-1.58763115e+00 2.45204708e+00]\n", - " [ 5.32309489e-01 2.67767879e+00]\n", - " [-8.72954185e-01 3.83253158e+00]\n", - " [ 1.46959891e+00 2.03325752e+00]\n", - " [-1.18376362e+00 3.44090282e+00]\n", - " [ 1.91905028e-01 3.68008429e+00]\n", - " [-3.98867827e-01 2.83701422e+00]\n", - " [ 1.55225969e+00 3.53094266e+00]\n", - " [-1.85297249e+00 2.99889055e+00]\n", - " [ 7.67455475e-01 2.13065019e+00]\n", - " [-5.75370188e-01 3.34837122e+00]\n", - " [ 1.20320483e+00 2.51778422e+00]\n", - " [-1.38759952e+00 3.98756510e+00]\n", - " [ 4.88558359e-01 3.13311863e+00]\n", - " [-1.64774579e-01 2.35266884e+00]\n", - " [ 1.96624215e+00 2.38355266e+00]\n", - " [-1.62657397e+00 3.10321143e+00]\n", - " [ 7.43358081e-01 3.76820472e+00]\n", - " [-9.11868376e-01 2.73812111e+00]\n", - " [ 1.30564082e+00 3.38023160e+00]\n", - " [-1.09770165e+00 2.09781330e+00]\n", - " [ 2.79755744e-02 2.78050674e+00]\n", - " [-3.12834497e-01 3.74834986e+00]]\n" - ] - }, - { - "data": { - "image/png": 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Zvn/605/o8ccfV/9/4IEHVMJSwKJFi1pWt5yR+8Mf/lAds6FDh9KCBQvU795zzz1UXV1NdXV1obFbAERgzEQD4CnBamr+/Pmhz++www7q+RdffLFgAyeddJL6vDU1NYW5c+fG/v0zzzxT/X7Pnj3VKjRgwYIFLceqS5cuhSVLlrT53f322089v9dee6X+HgCYAslGABhi4403Dn2cE4+Yb7/9lqTDpTB33XUXbbjhhvTMM8/QlltuGfs9uLyFV5VLly6ll19+ueXx4rjpyJEjqWfPnm1+97e//a26nzlzJq1atSrx9wDAJEg2AsAQnDCjizyk3fPPP19JrZxNO3Xq1Jas3bh0796devXqRQsXLlTyb8D666+vjCcb2M022yz0d4PHubMRN2jo169fos8AgElgSAGwgPfee4/uvffe2L+3ySabJDKkF110Ed14440q85aN6I477khJaWpqUjFhpjR7l1sAPvXUU8pIhlH8OBteACQCaRcAC+BmCBx+jXuL22WI4fKV6667ThlRlnO5IUIaHn30Ufr6669VElapQT7ssMPU/bPPPktr1qxp87v895mtttqqRRIHQBowpACAFq644goaO3asknOjGlHOPuaM3LCY7yOPPEInn3yy+pkzdrmHbzHHHHMMbb755vTWW2/R73//+1bGlDN1eVXMnHXWWRq+HQBmQPkLAIbKX8oNrT322EM1iGdDwT9LgVeOBx98sPqZV46DBg0KfR03SLj++utb/v/GG2+o+ClLr3y/0UYb0TfffKPKX4ImDnvuuad6/zB5lhsw8PPcxIGNKje9//TTT+mVV15RhvW4446ju+++u2yjfADyBjFSAICCDVkA14ryLQyuEy02pFwLe/HFF6vm8hzL5e5GnGHLBpe7OB111FGqV2+55Kttt91WrUivueYa1W+Xd5lZb731aPfdd1e7zfDWagBIxsoVKSdCcAyH4RZsLEcBAAAAeWBdjJR7ld5www2QeQAAAIjAKkPKmX+cvchtxYJYDgAAAJAnVhnSSy+9VCUv8ObCnJoPAAAA5I01hnTGjBn0l7/8hY499li1JRUAAAAgASsM6VdffUUnnnii2jXj5ptvzvvjAAAAAHaVv1xwwQU0f/58evjhh1Xz7Ljw1lV8C+DaNE71r6mpQdISAAB4SqFQoC+//FL1cE7TG1u8IeU+n7fffruqJUvafPuPf/wjXXnlldo/GwAAAPv5+OOPqX///m4aUm50fdJJJ6kdIjg+miZJ6bzzzmv1vrzFFR881/p3zpxJdMABlV/Hey1jn2QZNDURDR5MtGBB+ddstBHRm28SVVdn+cnsAde9G+Ng1ize8J2IO0kOH27+em9oaFANRUo3U3DKkJ5zzjlq26WJEyeqLilJWXvttdWtFDairhnShobor3Psqxsb3DxJL1xI1Ldv8ySse3DPmNG+EWU+/ZRo9mxuL6j3b7vCvvsS8YKCj1NYixmO4PDz/Do4I/KoreW9b4mKdtlT5+vPf+a9as3//bQhPtGGlGOiHTt2pFtvvVXdinn33XfVPW86PG3aNNUMe8KECeQ7PNnrfJ3PZDW42UjrfJ2PsHHk83Looc1Gs9iYBnMk5ynCiMpzMmtrm89bqQPEThE//tBD2RjTVBQE07VrVz60kW4DBw6M/L719fXqd/jeNRobC4X+/QuFqiq+LNve+PEBA5pfB8ozeXL4MeTH+MbP66KuLvxcld74daB9+Lzw9V983Ph613m+QPhx7t8//nEO5qty17zp+UqXLRBd/vLFF1+U3WeRd4QIeu3y/z/44IO8P64oz5wpVSvgmUf3tHklGiYRBo+dc07z63TAnjyvdMupS/z4gAGI7UWBVy48FdTVEY0f33w/f74FKxqLCFaQxUpN8QqSn48Kr2hL36d0vH38cfPrJCPakLoIT74cE/vb35rvdU3GxfCkwXIIJ6gUw5O1FTJJzmQ9uH11fkyNBT5OHEv+1a+a7107bi45mQsdCWvAkGYIe2qbbMJ7MxIddVTzPf8/jgcXFXjmycljcPvm/GQ5FoBcJ7OvIzkdopONXCKPgHrgmUsni8zYOOQ1uPn8814Mko6FCZxILvEU3U7miBHRsq2lhzWs3I9UR+0QN73netIsyl/YULC3Xc6TCy4WXjG6NmlKT3tv73xVGtw+nq+0YCzIdSCjwBI8qweVqKuL7sQHjhUTlm1t0rHSZQsg7WaAKwF1yUkLOvE1ZpkFGAt2S9smEuNGOhDWgCHNAFcC6jZnxsbFhcEtEYwFuQ5knk7mSMtzOhAjzUCOcSWgntfKJK84ry8xyyzlSN/HQiUHko0RO5B83Um9zgInMywkc/PNyY2fLTkdYcCQZhDPcyWg7uPKxObBLTGe7ftYsMGBjAKczNZA2s1AjkHMrS2+r0x8lSN9GwultbJ8vGxwIKOAet0iCh4Sty2UrjZWaF/2PWhlaA8m2rj5MBbCvmOPHmgHKQldLQJR/hIh5VlnyreNKe+VSPqd8kx7twUJ14uJkgcp3y3rWtlK+FT+IwFd5S+IkWYcz3Mt5pYmbmYqacEVpNTYmopnuzYWoiQUFYNdatwBMdIIIJ5nLm5me9q7DyUSuP71JhQFlG6xjNIqe4G0G2E5j043bUGHGn+OLa7/eHBiETdZqMQDDzTXKbsobevGVBgAnY0yxLdMwyi7dKBDjTmkHVvfr/+4RF2ZsxFF1qsbXaBgSCPia6ebchfxlCnupPFLQ2KNra/XfxKwv6ybIY72gLQbcznvcqZh1MzD0iQJnZmcwFyWrA58uv7TfFdkpOcX4ohz3rRtYFLwEF21Qy4TpXawulpvbSFoBjW2MmtA+f9x6lx9qJU1SV1d/JrbuOdNly2AtAsSx+mChvKIm+kFMUk35ERkpGcb4shTBoYhBakuYm6wjbiZrJhkWHIYyGdXIrTRy6bsKu/dpBAjzWBjb9fjdByD8CVuJj1OJ6WJg61Ijk/7FrNuilF2xccgyXlDZyNglDi7dJjuUOPyZFGJOMe2XHJYIG1BJbAzY9pXp6n6uxAHX7uVukDlfd4g7QLRcTobasgkkLe05Qq2dHGypSwkqxBH3ucN0i6k3dheL9fAZdELt73yGwYrLHslSanY0MVJWuerLKikSiU9b5B2NRAkZfgoGUrfwLfSCosHBq+w+LPhnKWTtnyWztPIiXnhyubgOkMceZ83r6XdwYMhGUrNPJTWJk86SaUtSOf2dXHKOx4olZE5njevV6QLFrT+P5Iy5IDJwlxyWACSk+QpMVHQEQ90VYUYmdN58zpGSlRPRF2cjy/YSFYxP5cmlDht6XyMs7lC2jiu69m+ccDuL4aAZOhP42/XZM040hakcz8z6n3J9s0aGNIyQDJ0u/zG1Qklals6SOf+xQNRImUOSLsl0q7UMgGXJMi8y28ga9pVLuPrta/72Nh0zrMC5S+GCEvKyBufYxomkgd8LB/QkZyUBz5f+7o7X0GFMAcMKcmrEyvGVGalTV6+7haEmFDyr7uLArKK9ZJ39x+X8TpG2q+fzDox0zEN15Js4oIJRX69JOJ5dibw+YrXMdLly+tp9uwuYldlJmIaaLtnRxu4LJGoTuQZz5N4PPIokfIBxEg1YHrXEmkSJNru2SNr+j4O8pLfXY/JBipE2Hc00T+7yWGnpBivpV3fJEjUDtoha4J85HdXS6KSlkilpdajEJLX0q703V90S5B/+1vzBV0JHlzcV9cHTHnMvnjirsjvKInSS60lISR0NvIA3U0JkGSTTUP+qJ54sPsQOzh8j8SZ/PbDhVqjjyYPE8VgSD2SIJG1Z56o8qBPspcN8jtKovQx00OnxOtkI9+aEiDJxixRk7nWrCE6/HDUR0razQNqjT4WRnQ2+Hp3BcRIBcdIbWq7B6KXbPTsSbR0afhziMXlE4tGSVT246BHD6Lbb893zkGMFIjP2vONqJ54OSPqquxlCp3yeNYxWZcZUSGEFLBsmTvZ0DCkFpMmWcVEko3v6JT9EIvLvlQFJVF6qG7HKQnDhcQjSLuWSruuF47bSBR5kOWs9lakPu7AIa1UBaVL+uao00+Xfb1D2hWM6bIGXwrHbSOKPPj//p+fmdM6x4TprFCoNXoYOZLoppv8UGBgSDVjuqzBxxotm6gkDx52mH+xON1jAqUq9rBRyThwNRsahtSylaKPNVq2rZoqJXP5FIszMSZQqmIPIzypXUeMVFOMNKsWY2jz507M2fVYnKkxgVIVu6gVvOMMYqTCyGqlCG9cP3nFnF2PxZkaEyhVsU+hechxBQaGVBNZxW18kUqyAjFnO8eED5OzS3HtkY7XrqNFoCayWimizV9+qyaUo8STp02PiazaB/pGuZ1b0rawrBa4760usCLVBNdKtTeAda4U4Y3rAxmg5lYtWagnrsvjWQOFJhkwpBrgieOIIypfXDpXiq5LJVmBmLO5uDJimfaBqoBkwJAa9OACeKKYNEm/kXPZG89qr07EnM2uWqCe2AUUmmQgRmrYg2N4QuHWcEBeKQpizubjyohl2lMeBYUmGViRpgQenP2lKDatmrJaqeu+5l1WT0yQ18bvUGiSAUOaEnhwbiQ62BBzzmtyLQXXvFny7KWNuHYy0NkoZWcjdFnJfkNgH3dGKVeSkEd3GFzz5siqQ1qS8AqvRNmISnIu08rg6GwkBHhw+oBMbkdJAq55c9K8lKxZGxQaSUoNDKlnMTbJQDIMR8rkWgyueTMTviRn0oa4dq2QLSWRtasJZCaml1yCRIdKkqFviQ6SJtdicM3r7xYEZ1KfUsPzBSs1fI2aviZhSDXicgusLMpYUIoSjuTJFde83gkfzqR+pYYldL5OTTp7kHaBKMkFkmFbUJLgjzSP+HN0oiowhx9uPn4KQwrEJcfYlOiQBbonVwm1qD4RV5qHM6lXgVm+3Hz8FOUvmjb29o32Yp8oY5FbkpDHBua+k3Q8uL7xu+kyrPYIJPLZsxuoe/f0tgAxUhCbSpOx1OQY20mb3GNqeyzQPknjnog/t097ORWVCOT0WbNIC5B2gfbYp+TkGNtJWpIgrRbVBaJK5Ih7mqOcDF5TE+33Fy3S8zlgSEFkok7Gw4cjOUYaEmtRbSZuEwDEPc0RllMxcWK03+3TR89ngLRbBGISeiZjlktQxiKLNHI7xoUeiRx1t+YolcH5mo0ip7PTrwOsSAW1mXJpMoYHLoukcjvGhV6J3IZuQS5QnbGcDkMqqM2Ua5MxyljsrkXFuGgLJHJ7GJmhM+99+Uvnzl1E7LZgA9j1w24Cw8iEye3Fk4uUXUikwYlFvDKvBDuOvOrMA0jx0Y8Hdn/RBDzM6EjMPkRzATMeOsZFONIz0iHF5yOne29IUfMYD0mxT0wa8Ykqt2Nc2NeuEVJ8fniftSvRw5QuzUjIPkRzgeREKfTPelxIv+alb6wgaScULyl4SH19PV9u6r6xsVDo379QqKriy63tjR8fMKCgXpcFkyc3f57iz8D/58dBM8E5CztfeZwzF8lyXNh4zYd9Zj4eeX3murry46H4xq8D4bYgDd5Lu5LifpBmooH4nTvjwtZrXlpGOqT4fPHekEqJ+6GFW3QwabgxLmy/5iXVhEaV2Bcvlns8bcb78pfilOc84zTYMcXMseJzaEPsTTKmxgWu+Xx2QsFuP9+jq/zF+2QjKbstYJWlfzeNZcva1kJiEpEzLnDN57MTismEvCZLksZ0A2lXCBKzh22O3x15JNHhh9sXe/MJXPPZSPFZyea1HpejwZAKQXJ9mm3xO975gRs02Bp78wVc8+aSoG66qf3X6U7Iq7U0aUwXMKSeZEm62AGoXOZkz57ms3pdPJ4+Z8y7BB+v3r2zk82bLE8a0wEMqQdZki5LLmGZk6Zjby4fTx8z5l0kS9l8JsrRkGwkDd1dg3zsAGRyEvHxeLrYKcv1pJioCXk6ZPOFSBpD+UualGfp+LqDh6ldanw9nq7BzhBLka5nc8fZ7cfXMqYG7P4CKuGr5GIq9ubL8XQ5/utTUkxWsvkIJI3BkLo8mfgsuZiYRHw4ni7Hf31MismilWE1ksYQI3VZ+vG9Tk937M314+l6/DeOoiBNgpTeaGbkd45r2LzJRtTm6yYKiJGW6OLlJhPdcQWbY4WSMZlE4vLx9CH+y+oSr7IrwSs3zgIH7idxNSBGqh/XpB/fJBfTsqTLx9OH+K/LioKUUFS1oEb+WQJD6vhk4kudXlZJJLYez0oTrQ/xX1eTYlyOa9sCYqQeTCZ51OlJUhJ4gmQlgY+Bju9s2/GMEvN3ebUWpbG7rYqC63FtW0CMtEgXt7keymdw3soTNebvcvw3imPBK1HbkmJ8iGubBtuoWd4NBOjDVSUh65W6a6u1LBWFPJJsfM1CTkvxudLVjwcxUk+SSVzGB1kyi5i/rfHfvJNi8opRwoFMf64OOIC0AENagk+Tia2Zgb4kkeQx0WZRwO8SeXZKggOp51zpADHSMmt72+qhfG9SkVVfUZuuFcSO3Y5R+hTXNneuGohIQ9/1gofU19fzZafuQWUmTy4Uqqp4qLa+8WN84+clwJ+jf//Wn3HAALOfL+xv8v8lHJPGxubPEnbugvPHx4dfB+JTVxd+XEtv/DrTY7P0HEsbm3LPlR5bAGkXONOkImtZUnoDdMT83Y9RIhQlI04MadfhbdR0AHlQpqznY7mHNAle0tjIK7wgNawR/VzpkXZR/gLEe90Ssan0wLYGErbE+CWVy2XRmN62vIk45yotkHY9JE72LTID3XAwfO2BalKC91k6lx7WiHOudABD6hlxa95QWhIOHAw7MB3j9zFGaVPeRJRzpQPESD2KkSbdIi7P0hKpoPTAjrhbVnFMW2KFOpAUG07f2aiBDjgAMVKnML2XZtLG7r5v2huGTy31bI67ZSXB5xGjzAvbwhrtnasGzjXSAKRdIZhuM5Z2izh0vGmLj7KebXE3SPD6wTFtC6RdAdJuUsk1DpxYxAa6EmwkOSHFZrKW2XyS9WwrJ4IErx+XjmmDJluAFakngXtfvMg8Goj7nBGri7SKSTl8zqw11S8bx7QtMKSOTiA+Zt/alpIPsom7QYLX72TimLYGyUaGqST7ZZkM4XJyTJpkKpA/phUT35tSlAsfBU5mEuPn+zEtBjFSgzHSKBmIWaeSu9ouzvaUfFeJGj92Ke4mDZvaWWYNYqSOyIxZS66uZt/anpLvu5SIuJv94SOfgSHNOYEojwnExeQYX5KpXI5XI+6Wv5OpIxnJR2BIBXiAmEDSo3tljwkln0x0VxWTPInqPM6bl33Guysg2UiIzIjAvZxkKpt2tXBxZxyfugRlQZRdarp3Jxo9uu1zaZKRfKq9xopUkMzoouSaJTpW9iihSQ/i1bKIEj4qh4km9LU51HqbBobUAD7UbEoljTRo664W0kC82i4nc8wYos8+yyYZqdZRRxWG1ADIQMyXpCv7LLIbfYi9wpG0y8ncYotsFIQmhx1VGFJDmEwg8mEydlGSdFHSCgOOpF1OZlYKwkyHy3BgSA1iIgPRl8k4D0xOKK5KWuVAJro9ZKUgLHQ4do7ORgJ2f5G0S4zPmOqu43NnGezEY9fcwoRlvOuYW2Zo7j6m41xrswUFD6mvr+dLRd3bQmNjodC/P1/i4beqqkJhwIDm14HkTJ7cfCz5Vnp8+cbPx6Wurvx5K77x60By+NyUjhH+f5Jz5iNhx4/nFF3Hr/G7Oax0bCWZw3Sda122ANKuJbgcX3BdknRZ0pKCb9K5CUw3w6jWFDuXeK7RkMESMBlnh+7mGKZir5Axm8HOP/ow3Qxj5HeOaljDkygbZ0g91zCkluBCbZ5NE7/OCSVKZxl+Pk4yB7ov6eukBOxxVGcKPdeQdi3B9to8n7ONdZeDSJS28gRqjT+13guFnmsYUkuwuTYPE7++2KvLRe2uqjWo+3b/XKP8xaLyFxs35va59MOEvI0NzO3aFBwSvOxzrcsWIEZqWdzPtl1ipMY0bI29SpW28oyB69z5J4u6b1M7qvhAtdBzjTrSFKBurTLjx0eroeTXAXtrUiWMBdN1kHFA3bcd51qXLYC0m3A5jy5D0YAU6b6MKWksSMkMl9jFxzWaBHU2giFNcPAQ9zMz8TOYLGS0c4sKxkI4nFjE2emV4MYHnLnaHoizmkOXIUXWbgLQZUh/tvGUKf6Wx9jcEB5jwWx2KTLe7QCG1LGEDxsnfibqZIFSgmzauUUFY8Fc3TdKnewBWbsO1TJJply2McMrzygtv3jVCokru3ZuUcBYMJddGnW1zw7l3ntr/PAgNliRethlSFI3k6iTxTXXQOKSCMaCOQk+6ir+8MNx/ecNDKlnXYakEXWy4OMNiUseGAvmJPioq/jly+FM5g0MacK4m6SED5uJM1mUw9eEljTojDVjLJjpK1tptV8KnMn88L78Zdq0LqnibqjvMl8e07070Wef6SklAObKKTAWsqvRLQfqseOB8hcNPPpo+rhbUm8TRJcGzzor2nv5ltCSBJPlFC6PhbyyxYPVPjuTUfAtO1oKXhvSiy9G3E0ClaTByy9HQosOUE5h5xaAPD4mTYr2WjiT+eC1tEtUT0TtL+d9lUrykOna+5uSuvnYCto12tv+UGJrSBdogLSbDT5KJXl54O1Jg0hoSS8/onmCvSt4ZEfLBoa0Ar5JJZJbkknp5mOr84PmCXa3P4QzKRevpd1+/epp4cIukEq+Aw3I3ZYfIQ/m13heJ8iO1nesIO1qYOzY5ntIJTI9cKBXfoQ8GE8a79VL5gre5exoW0NUXhvSgw6CVFIMYmjuOz+QB6NPuscdR1RTg2xxG6nNOETlfdP6cs3UffPy2BtfvDjaaxFDs9v5wTUfTRpfsOD7x5I2ngfyVJrijTB04b0hlbKLhrRON2EEMTR44HLiWUkTiHy/5uNMutwMYd1123aCYiPq6wreFZVm6FA9fxOG1HOitiCDBy6nFV9YP9ZKCURwfpJPutyectq05useK3j5LMwhRAVD6jHteeOlwAPX46AEMRpd8Ugd+176TNTJdMkS9HG2Jau4bw5lXl4nG/lOJW884Kab3KnXzKJnataF/EggSg5qa91qp5jXHrkwpB4T1Rvv3duNFU1WgzyPMiI0q0iG7xuT63Qsa4U0c8mjzAuG1GN88sazHOR5lRGhvjA+PtfW6nQsmwS1U8xDpYEh9RhfvPGsB7lPDooL+CiN63YsZwps5pKlSoNkI4+D9r4kqsQZ5DpKQpBJa9+48Km2Nk6dZdTvv1BoM5esyrywIvU8nueDN571IPdZLrR5XPgijZtYPfb1XIWBIRVI1kF71xNV8hjkPjgoWSMlmcV2TDiWIzwJE5XD691f0nb8NwF2YNFPnrue5F1T5woYF/lv8F7pWq79ztFhwsJEEh1I7P7iKBKD9rajQ2pNWibgi1xoGowLfSRZPUaR1Ed6rMLAkApDatDedtIMcglF5r6DcZGfYxlHUh/peJioHJB2c5Z2S+US/v9PfxpfdgFmpNaom2YDs1J3UjkSxOsFzSvR4lagrkvqDZpsAQxpjoa0XFPzb74hWr48+3geaI3rk4hNTfzzjHP77Ni47sA0aLIFqCMV2NQ8zR6ISG6xt/7UZdI28fel5jlrKtVZQlKPBmKkQguia2qI+vWLF89DLE8vmERkdZbyOZklL3yvD40KVqSO7IGY1bZdPoFJRN7KPm4HIig06UCXrmjAkDqwB6KJll8Ak4jUlX3Utm9ZbKzuOnlJ6k2WOUCQdh1Y6aDGzgxo9Wfvyh5dkPSRtaRea2GIClm7OWTt6s5A5CYBfMFVguu6oqxwQfwyAV887yRknXGLbGszZHGt1mZcboasXYvRLZdIieW5ahRM7Qzii/SYtTyIbGs7d1JpsjlEVUjBkiVLCm+88Ubhyy+/DH2+oaGh8NxzzxWkUV9fz6dK3efJ5MmFQv/+fIl8fxswoPnxODQ2Nr9PVVXr9wpu/Di/L78uy+/C/4/7XXyBj0vY+eLH+ObicdN1vVdi/PjwcVB649cBOdTVRTtv/DpptiBRjLSxsZFOOOEE6tOnDw0dOpR69uxJ55xzDn3DnQSKmDNnDu0ZpZrXU3S108o7lod4lOyNxqWQVfu4PBWapD2ZAdldbpbE+t5www2Fddddt3D11VcX/vGPfxQuueSSwnrrrVfYfvvtC4sWLWp53UsvvVTo0KFDQRpSVqS2evxhq+Fy3mMWq2HbyMPz9om8FBqoMv6uSBMZ0kGDBhWuvfbaVo+9/fbbhS222KKw2WabFebNm6cegyHNHp4c+EJj2YrvTRswGIX4QHrMTjovNaampHMfpfqsHSCiQqGmRu+clqu0O3/+fBo+fHirx7bZZht68cUXqXv37rTLLrvQa6+9pmvRDGKQ9bZdVssxOZFUeoRsKLNkw1epXjfV34Wo2qsj4UY1U6aQOBIZ0h49etDixYvbPF5TU0N1dXU0aNAgFRudPn26js8IBCMlY9gmTO0HCfKJyaKOWx+ckcvtUcsRZO5Kc0oSGdJhw4bRI488Evrc+uuvT0899RTttddedMUVV6T9fMBBo+A7JveDBNkrNDpUGagNzbCzwatO25ySRIb0qKOOUvLuZ2W+cadOnWjy5Ml06qmn0sYbb5z2MwLBJM0Y9n3iiCo9QjZ0X5WB2uBAqKjgIS4nG9mQMYzsxujJYUjmcjtLGElK+V7vumwBWgRGaAvlasce3UQ5Tlm3ALMdqe0fMSbCr2um+Npu77pGK8P820lqaxdb8JA4XghWT/pAzWl8JK5IMSb01HFLPLe+lS7V51n+4gvlkjz4/6NG+RnDSAOyG+1P5kLik74sYWvjgYYZaeEG7mhaX4b2kjwCTj1VaANloWDisGc/SOeaigts7I7Ssew3ijCF0RXpH/7wB/rrX/9K3377Lbm2emI4afmaa7L6RPaDicNuDx2Kgttqg+/NZcQa0jFjxtBpp51GAwcOpLFjx5JNRF0V3XILSg+igolDfnOB9oCikF3pWOCYYON4OzAq7XKt6YoVK2jWrFn0wgsvkE1EXRXxqhT7GtonU9qI6f0gKwFFwZzawGGi0rL89jr8AI9WpLwS5R68J598Mt1zzz1kE7wq6t492mvhgaeXKfn/UhMJwPdjotLkzs9DUYjP8uXhj/mewOW0IV2yZAn54P1zYkUU4IHHpzRhxb9qZgDQucprQ9qvXz96/fXXWxKKHnvsMfrwww/JNS6/vHIDZcT0kpVPcLlEMQsWwPu2vQ9qcagDRAMJXJWxoZ1oohjplClTqO93yzDOyv3000+pqqpKdYbYdtttabvttmu5DR48mNZZZx2ydVV6xx3td+JBTC86KJ+wu4MQko30g2PaPuxY85xR7GxwwiLnWkgKAyUypPvvv3/Lzx9//DEtX76cZs+e3XLjxKI77riDVq1aRdXV1bR69WqyPaYXdjLZiEo6mS5530jekjeJINlIPzim5SnXTjRo/iEppyJyr13uRcg9CaPS2NhI77zzDv3rX/+io48+miSRpL+ipJWBDYQdr0mTZPaNlYjEnsRZ90H1ARzTcLLqQ6yr127kGClv1F1u27QwOnbsSEOGDBFnRH0oDs6bcttCzZsX7fd99L5tSEBJumWeLySJ5eGYuhE7jmxI33jjDdptt91o0aJFFV9rs5QLzPViHT26OXkLDRnsnUSkdFmSRpo9RXFM7Y8dRzakF110kZJqR4wYQR999FHZ102cOJG23nprXZ8POJZMFADv295JREKXJUnoaOSPY9p6Hlm8mOxSr+JsFXPttdcWqqqqChtvvHHh3//+d6vnXnzxxcJPfvKTQocOHdRNMtjY2wxRt4W68sp42035trn3tGnYXssWsDWgXsK2ojN5XHXZglhZu5deeil169aNzjjjDCXzTp06lTbYYAO6+OKL6aGHHmKjrLoZXXXVVeYsPxBL1BXSFls0e99I3grPzGWJjyVw7mzTXgKK7xK4BJCJro9yCXalSFSvYpe//OY3v1HZTSeccIKSeVeuXKlu3bt3p8suu0wZ2U6dOpn5tEB0ZnGcVP68+8ZKnji4OUXwGHoSy0a6DO/StpWSSw9jG9I1a9aoRvS8Ev38889VI4YjjzySbrvttljlMcC9msNgd5dKqfxYSUWLJ3Ov53XXRf2yZOcSdaB6iLJtJXPTTURnninPiYzVIvDhhx9WnYp4VcpGdPjw4erxadOmqZ1eQD4tr3QkO+gAqfx6JUGuNuO9HpCAkn0mbVSwNaAeoq7Ye/cWOn9EDaYGiUScbDRs2LDCjBkz1OP/8z//U+jYsWNhww03LLzwwgsFG8gz2SgsmM7/T5poIzHZIew7+pxMFAYnFkVJKOLXgfjwtcbXfth44JvOazH4W6V/z8Tf8j1Rsa5Opi2IbEjZgA4YMKBw3333tXlu0qRJhU6dOhU6d+5cmDp1akE6eRlSE4M7rwswbiYqshbtOG8ukIdzCedRzzkLmx9NLggyN6RXX3114Ztvvin7/BNPPFFYd911C+uss06htra2IJk8DKmpwY2VjZ3kNXFIwaSjlZeT4qrzmNX3mpzDyj5zQxoFlns32GADtTqVTB6G1NTgxsrGXnyVBHWHN0qBc2nPucp7Za/LFiTaj7Qcu+++u0o84oxekE2aPJId7E0W87E1XBaJccik1UMeSYwjLe3wFHn3lzi89dZbKrtXKro6/seBJ1zOGqwEXzhx6yuDC54pPpt57hTiKibKjPKu/7VpR48oxwo7qtiz+4oztqDgIXnGSE3FxJDs4FYmqIukDUPEkRl9lc114UvIqF6itAvyq7G0VRKxBalbm/kS3ogrM/oom+sEHZsMdzYCyQkGd5g0WK5bTRzZD233zIGeqvnFLqN0gWIn5uCDW48NHk/8mA+yuW4QZ44HDGnGxBncEtr+uUbSeCQ89PxaSKZxYuBcJgPtPuMBaTcHgsH9q18135czohLa/rlEmpZx8NDzC2/AicketPuMBwypQBCP009axwRlRnpIEruEE5NPSRfizDmXv0gnj/IXKaUyPqIrlT9umZEvZS1JiHNsUM5ilkohJJev4waUv9jZtD4K6MwiN5U/aplR1h1hXAflLHaWdDUKb5uI8heHgZSlF50xtihlRohv6wcyo30hpNoMtrGTAqRdgdIupCx7pXJfOsLkhW6Z0WXZUkK3tULJ/CWt25ouW4AVqUDyzJjTvem4BLJMFIpTqgHMZLxHxacVUximsqGbPEyWhCEVSh5SlqsTS5aOCUo17ADyu7kQ0kwPnUkYUsFk2fbP9YklK8ckz/i2i2qCCXxcMWWp1Cz00JlEjFRgjDRrfIrrmY6J5RXfRhes6KC8zOzOUTOEHN8oYx0xUqANn6QYnTE2KfFt19UE3fi4YspSqRkhoHlJ1mEqGFKAicXi+DZkymyb57sonesOIVXn3F4wD8cS0i6kXTFSjGtkUVqBc5eN/A7pPD61IceMV6LldrrKI0ylyxZg9xdQcacHhi+6Zcuy/mR2k8XOI2nVBB/rKIMVE69OeGINiw0Wr5jK1UQGKxwpNZHSGJnDNnZ5bXcIaRe0kmLKwRPu4Ycj3iaNNFnCrpY76ZTfIZ3LzkmQEqaCIQUKnjgmTqx8oWPSkEXSxA4kKEWLDfqUiOcCfXMqP/PakLqaPJCUnj3bPwaYNOSRJLEDq6zoKyYk4tnFiJwyhr02pIMH+ylrlcOmSQNOUPIsYayyooMNJOyiOqeMYa8N6YIF/spaNk8aPsf2dJQw2OQw5Y2Emkggv72q1+UvRPVE1MXZLj4u7jpjy64SkkHJTP7df+LiY3a1TZ2NYEhLDKnvk4iESaMcPrUy9N1hkkYeNZHBubrmmma5cvny7x9HDase0CLQML7KWpI3UEZsTw95d56xkSw3kCg23r17E40e3dqIMr6HoaSBhgxC44C+FVJHkWQQ29PvMIV16zG9yrKVLBpsBLCBHDWqfaeRnR7OruaxCqcnXyDtpoiRIm6hn/ZasXXvjtiebnANy6NSCKMUXO/JQYtAA8SRtdB7Uz+VWrFNmtR+K8PACUIGpcxVFtATwigFCkz+eB0j7dcvWRwQXWH0E6VJwHnnEd14Y/PPiO3JBTW+6YhrGH0OQ0nB6xXpW28RzZ4dT9aqNOEjbpFMRoyaSMTdlxDbkwuUmvTEMYyoYZWB14Y0iayV1+4Crk+wcRKJuJ1bnslQIBzskqInFh1lNyaGnXYoMDLw2pAmAZmjZibYuF2VENuTBZQafav09rZ5C6ipIbrjDn8dE2l4HSN1uY2eFKI2SB8+HK3YbAY1vnrzKcrVc3Pm+pVXEi1eDCMqCaxIY1JJdkHmaLIJdtaseJstA1nlK1Bq9K/S867nlkyTkOs+ACvSmKArjLkJVnJXJYlIat4PpcbMKj3rjbFtoFbQdR8AQ5oACRO+LSUGcSfYPFqx2Yi0EizsktIWrNLdv+4DvO5slLabRV7ygk0lBmiQ7k/z/rw2PJAm8wVglx35170uW0AFD6mvr+dhru5tY/LkQqGqiqep1jd+jG/8vNTPXPq5JX9mydTVtT3/YTd+Xdbwuezfv/XnGDDA3DkO+3v8fwnXVGNj82cJG6/B9c/Hhl8H8rnuddkCSLsOZsBKk3klSOEuIVkyzFKalyrzBSCfwp/rHlm7FmFzMwifMxB1S4/SE3uyqPG1pW4Vu+zoGx+Sr3sYUouQ7JFFwccmCibi2SjBssup9NmJ1Dk+JF/3kHYtQrJHBrKTHiEZ2udU2lTGklVFQG3M8SH5uochtQiUGNiD6Xi273FnOJV212g2JRwfUq97lL+kSXnOgbxKDHxCR0wzq9IHqaUfpkFZVXY9sU3MLTNSjg9d1z029rYE3RMdkhfsiGlmJT36GHeu1Ng9b5nPRrJO3lqYcnxIu+4h7Vook6D7j/yYJqRH80iV+Wwk600H+jo2PiDtGpJ2s5RJgLyuKb5Lj1lKzr7K2zrhxCJ29ivBjjsnTKWlScj40GULsCI1gK2NE1wkagaibo9ccoaha03FbcqIlUrWK8Rqx8YHDKkBsDejfRO6iZimj9Kj9G5DQE5FwEiHxgeSjQxgW42bi5ST1oMJvXSgmvLIfSrG152wAslWH5WOZV7JWyNdGR8FDzHdtF5yU3EfCJqFlzvuYc3C0WBc1nUvuRm9bcQ5lllvOpA3aFovGDROsE9ady1mY7MSA3lYH3GPJSoCkgFDaoA4k7ItG3T7MKG7FLPJAx3yOBL19JH0WCJ5Kz4wpIaIMilnnd3oC2kmdHjk+SoxphP1fHJckfSYHUg2Mkh7gfS4yTAgOml3iZDWNcUWdCSsmEzUM7ETj2SQ9JgdWJEaJkwmyVO+8sEjR7wzP9LK46ayp32Mu7rWPUgy6GyUQ9P6rBqa++6Rh31flhbRk9g8SUtXTHS80d21yhakdA+SDJrWW0wekouPUnKWNWqoedQjj5uoZ7RpE3CdZFEbiuv+OwoeYrqOVFqdaZK6ShAd1DzqR2c94/jx0cYbv85FTNWGunDd12uyBZB2c5B2s5Zc8pKSfQCbE5hD12oH17/+laMr132DJlsAQ5rTxt5ZbtCd9c4OvuBr7M02TDquPkqbLl33Ddj9xW6yLP7Xnb3nQ+ZvFFCn53cWt6914Lju2wJDmiNZFf/rbFno6+QRBur0/HVcfSynCcB13xZk7eZMFsX/urL3fMz8tblOz0fZMYssbt273NiG9Os+7vjQQsFD8s7atTF7D5m/bZG8Y4wLGZVS8X13J8nXffzxgd1fQIZSsg1xkaxjt1I7KPksO2aB79Km1Os+7fhIAwypZyTd2UH65JFX7FbajjHYPcU8rkibLl33OsZHGlD+klP5i21IrsWTUNMmJR4p+Ty5gsTWe3ldf1Ku++Tjo4GI0CIQWLKjiimkJH5I2TFGh3Jg2+ToYus9W3poS7nuo2JKMYO0C6yOi9gQu7VJdkR5k13SJuLh8TAlt0PabWc5D89c/o4q6NqkT3aUIJHbRp5zhEsdhvIbH3qkXRjSMgfPtS3HdA54SQ4GYoJ62k9iUrYPXPs6xoceQ4o60jI1RmE1UvwY32yrxXO5ptCFmjYJNcO+10baiO+72qQBdaSGca18wPUYitTYrW01w9LLm0xge89olOGkHx+PP05agCF1OHnFNadAeuKHzTXDvk3KLiRV6eyh7SPV1fqODQypw565S06BlA0AXMWnSdkVlUaaGtNk+Qo/DTCkDnvmLjkFJrs2JcWliUPapGwK11QaKWpMrQMr/DTAkDrsmbvkFEjDxYlDyqRsEhdVmnJqDDchycLRq3VkhZ+KgodEzdotzQS1LWsXGa1mcC2ruxS+Hjg7l7M9+d6l68OXTNesMvVt3xWqXtNOYFiROuyZ+yLXZSnDuiYNSpDIs8QHlSbLFaKLK/wkwJAKS17RHXdzxSmQIsNi4rAbl0I3Ehw93/IwyoGm9YIaMpvqpsS/y/ESKd2IsqRc27vAO4/rTGDisBtpDed1E8fR0zG3+bDCjwJWpJ7IMS7LdVl655g47MdllSZrR8/1FX5UYEgF4EPcLQ9MyLCYOMyTRVmRq3XHWTt6yMNoBoZUAIi72eOdY+Jwp6zIRZVm6dL2v4cJR2+kwyv8qMCQCgBxNzOrF1PeOSYOM6AeMR18fI44ovIK3oSjN9LRFX5UsI1a0dY5eW0Phu2QzCRnpdmb07bt5GwH27iZPX4MH7cJE77fQgxQ5L2pK4EVqYBONYi7mVm9mJZhXZQG8wLhDbPHLzC2PXpk9Yn8AoZUgKSEuJu55CzIsHaA8EY6cPzyxXtDKiVjFhO+udWL7/EbG5ryo6woHTh++eJ9Q4asC5hda5yQR5wwifeddXMN2zHVHKRSeKNSPBvhjXBw/PLF+xWpNEnEprhbXnFleN/uhTpsCW9I3TrPluPnLAUPKe74z7tbRNkNgl8HZOyAgl1tzJH3bh5hu5bw35Owo05WO6q4evxc3v3F+/KXzp27GC2RcBEJpQrBqokJ65eKuLK9pVgSy4rK9WyWeL1JPH5SKD02223XQN27py9/8T5G6noTa1fjykFyVlgcj8+XlElNElEmWAmhDmnx7EoJiTxPcEIi5zdImCekHT/Jcf9+/fS8t/cxUgYZs/GQMNkyyMbVH89G/LktqHF1N+6/YIGe9/d+RWpzxmxeSJps4X3r3UoO2Z/mHUdIr3IUBV3AkBaBSTkaUSfb4cObY26YMOyRJRHqMOs4Zl1WBChS16e0QNoFRlLtjzySaPPN82m5CNLJkgh1mGnhmXcHNV9ZmEHpIgwpSER7k+0FFxBdfz0mDAm1jEllScSf9dZoSumg5uN46JtFPL/gIbpqh0BzPSHX2I4f33y/cmW+dYiuE7eWEXXSMmo0cR7yGw/t152jjjT3rXOAzDpEV0lSy2h6KznfSJooxKslDnFUglf/3NUM6B0P5erOiRqICNuoAQ8yHCW2ZMuapNIgWsfJaOEpKdPdx/EwskwoqvT/SYEhBaIzHPPaI9alWkYkD9mVsATn0VwSXWnc/803SQsofwFa0VWHGKf20QfSrvRN10mjNrJ9opYVTZmC8hiT46G0xLGBlV0NYEUKtIIMR7krfVM7C0E5iEYlZYBBeYydUjmSjZBsZISwwnOWrqL0wUXCUlukJg3Z1MxdCmGrdybvjSB8HA8NmmwBVqQaQEyjLWnqEKX08pWExKQhKAfJCFMG0M/X7vEAQ5oSyFpuZDja4AxJSxrC5K8POI92jwckG6UACTFmyLpxuk39TyVtroDJ392Yny0JZCOFjAfESBPq4hI2t3aZrDbuRowvOXFi2Ty55T3ZSUZaDNwm5zINiJHmDGQt+2UbxPiyqY1ctgzhD5tifmiuHx8Y0oRA1jKP6cbpcIay2QXo8MMxKdsS84NzmQwY0oREjVXMmSM3ecUGTNU+MnCGzE7+Eyc2J29hUo5O3rvuwLlMBgypIVkr4OqrIWVJRWKCh0uTf8+e5iZlG7KsJTqPlYBzmQxk7Rpo+RWG6UxeGzLsfM8OdpnS1msmJ2VfEmHyAM5lMrAiNSBrhWFSykItq/0JHi5iYlJGIoyc5vrge2BINcpaV1zR/mtNxBcwsdiV4OGyJGl6UkYijHngXCYDhlSjrLXNNtnGFzCx2JXg4ZtyoHtSRiKMG85lk4POJGKkFscX4kwsvjR31xnj04mvXbCCSTksphllA4NikAhjf8egWkfj2zCkFievYGKxg0rKAV8XrBzwxOWiZKZrUkYijN3OZa3DziSkXYvjC5hYZFFOsoIkqaekA4kw9rJqFdFpp7kbhoIhtTh5BROLHNqLf0I50AMSYeyktrZ5nuJWka46kzCkFiev6JpYXAz+Z0mlzOl586K9D5QDO9rogfhjY+lSt51J7P6SouO/FMIC+LwSjZLM4WrwPyui7AIUTPpSdvZwAVMNSNDYJLuxEQYvOrJMjNRlC2BILTKk7Q3yJBMAthDLbiuxK68kGjPG/LZwIDlwKvMZG3k6k9hGzTMq1SDGTeZADaoeokpRW2wBSVIyaGyin4UxZVqb49swpJ4OcmSSZp85nffOHiAcOJX5jo2ePe13JlFH6mkNIjJJ86kdNt34wUVMxy3R2CSfscEEOwR16kRWgxWpcEytHFGDqgeUZJgli7aKPjqVWWTqV1cYG3wbN85+I8rAkArH1CBHDaq+yQQlGXbHLX1zKrPs+TzSk7GBrF3hWbtRM9+SpI0HE5WPmaQmMjRROpFtWZGuLM/gb/lQnpRXpn6T0LGhzRYUPKS+vp4vo8Ljj9cXGhsLouHP179/oVBVxZd+2xs/PmBA8+uSMHly8/sXvye/Hz/uKvzdwo4nP8Y3l7+7LdTVhV/vpTd+nc5rovS6cOmaCOaScscy7Vxisy3g+zR4Le0ecID8baxMx+B8yyRFhqYdZB239EGCRKa+ObzP2rVh5wGdW1GF4VMmKTI07ZDf8ohbmto6TAo+JlVlhfeG1JZtrFwf5FmBycSOrj5Zb0lom1OZxOnxLakqS7yWdm2TNHRsReU7mEzs6OqDsiL9WbfI1DcHDKnHqxAfy1UwmdgTM/Yhbpml0wPnxBwwpJ6uQnytfcNkYlcCim/JcKadHjgnZvA+Rmoy3gLM1r4lTRQznbxlUwzNhpixLXFLWxLlXM63aMopYc57Q+rjKsQmTPUadnkyiZM4hJixPeh0elx0TmpzTJjzXtqFpJF/T868pEcXk7fixtAQM7YHOD1yE+a8NqSPP+5vvEVaT85y2CA92hxDQ8xYtiNZDJweuQlzXhtSV6Q8Fz28AHjh5lfvSECR60gWA6dHbsKc14YUyPXwfPfCk6yE0qzekR0r05EsBU6PTNXK+2QjILuNXuCF8+TFRjNslxrXvPCkSRNpV+8uJqBISnDThcuJckkyc3v1EqBaFTxEV8d/Vxk/PtrOG/y6rPBll5o0O9OY3inIF7LeeQakmwf4/zU1ya57XbYAK1JgRVzSBy887UrIx9W7RKlQUvN/X+rJC989ltd1jxgpsCYu6WK5iu6kCcTQ8nUkpSUo+eRk1tQQ9euXz3WPFSnQtrKBJy4jacLE6t2nc5t05xndHbhAPCfzs8+Ipk1rvi4zv04LHoIYqf64ZLnYhWsxTB9jcz6e2yBWXRp3KxerDuLT5c4Z4tMy8zZ02QJIu6AsUUsipJYK2IZESd3XcxtXIpdQy+gyfQXmbRRTxdaUPKOhoYG6du1K9fX11KVLl1i/65PEFfV4cAyo3CQSyGBsgH0+TnENFxMmqWcpD+LcRh/vXO/LMdFKsEPKMX6Q7FqsJLfHvRbT2IJisCKNARIJ2qLDE5fUhi1vJCULYZUVPcFN+orJdqqFd3WCIY2IrxKX6QQZOCdyuwxJ6BhjCxJledcYKcjJLAVZuw50OrG5VABZjnK7DGW1ynIhXIJMd8/ryQseEjdTS2o2pQSSdtNBlqN8suiU5FpGMDLd7QJZuxkCiUt/7ALxN/mYjku5GC5BprufwJBmJHG5nFCTJHYB58TvuJSkHYayTlBy+bv7CmKkBjudpN3Nw+XYhU1Zjr7HsUzEpSTtMJQ1Pn93V4EhjUCaZuA+JdTESZBJ65xkhQ9OUB7JTz4rEj5/d1eBtGtQ4oKEY29dGIM4ljlsUiR0Y/N3dzlElQZ0NjLY2YgvNK6LrAQnJPgq4YSt+Ljejo1onis+dPWxs1ONDdj63V1UZxo0dTaCtGtQ4oKEY29dWF5xLF/isT7vnWrjdzcdomqy/boveEhWu7+g/tReTO020R4+1hXGqbt0DVu+u+ma78k5Xve6bIFoaXf16tX0/PPP01NPPUUzZsygefPm0YoVK6impoZ23nlnOu2002j//ffPbTnvqoQDspfly3n8eTSrzxrrVyOOf3eTY6E25+tely0QbUinTZtG++yzj/q5T58+NGzYMOrcuTPNmTOH3nrrLfX4qaeeSuPGjaOqck0uczSk0nbzADKdIMRj/TRQtmBqZ5smAde9F7u/dOjQgUaNGqVWpQsXLqTHH3+cJk6cSG+++SZNmDCBqqur6Y477qD777+fpJJXo2Vk19mTVYwuT3rBRgh2ZBnPdOm6L1jMSSedpPTtvffeW2SMtBiOH3AslGNqfG+yh6yPsTab41h5xGNdhc9LWG9gfoxvGANyei6PF3Dd67IFVmft7rDDDur+Y3ZbhJPVbh4+NYBwJavY5rpCSWCXJruyjPs6dN2LlnYrwclHTF8bjnQGoAFEvps7JwV7WerBKanQgxDVCIeue2sN6aJFi+iee+5RP3McFWAisRUbujzZAOq27dpwvtqh695KabexsZGOOeYYlWk1ZMgQVQbTHitXrlS3AP69IGPLJd5/P/rrhg41/WlAHH76U6L77iO6+GKiBQu+f7xfP6I//an5eccuV+1ETbrk1+FYJqd47lixIt175X3dBzYgdfFKweIko5qamsLcuXMrvn706NHq9bjhhhtuuOFGJbf3338/lU0SXUcaxtlnn0233HILbbjhhjR9+vSWhKM4K9IvvviCBg4cSB999JGqIQIAAOAf9fX1tPHGG9Pnn39O3bp180PaPf/885UR5S88derUSEaUWXvttdWtFDaiphsyAAAAkA33LEj1+2QJF110Ed14443K+LER3XHHHfP+SAAAAIAdhvSSSy6h6667ThnRZ555hnbaaae8PxIAAABghyG94ooraOzYsUrO1WVEWeYdPXp0qNwLAADAD9bWZAtEJxs9+uijdDC3ISFSUu6gQYNCX9ejRw+6/vrrM/50AAAAgHBDyg0XTjjhhIqv4wzcD7hSGAAAAMgY0YYUAAAAkI74GCkAAAAgGRhSIlqyZAndd999dNRRR9EWW2xB66yzDq233nq09dZb01lnnQXZGAAAHGD16tWqkc+FF16oElc5iXWttdaiPn360EEHHURPPPFEoveFtEuk+vY++OCDqih38ODBtNVWW9GKFSvo1VdfpaVLl1Lnzp3p4Ycfpn322SfvjwoAACAh06ZNa5nH2XgOGzZMze9z5syht956Sz1+6qmn0rhx46iq3LY0IcCQEqlVJ2f+nnTSSbRR0T5BX331FZ1yyik0YcIE6t69O7333nuqNSEAAAD7ePbZZ+nWW29VrWZHlOzPNnHiRDr66KOpqamJ7r33Xjr22GMjvy8MaQW+/vpr5bl8+eWXdP/996vVKwAAAPc4+eST6a677qK9995brV6jghhpBThWylIv8zFv5gkAAMBJdviuf3vcuR6GNEJwOkg26tu3b94fBwAAgCHmzZuXaK6HIa0AL/OXLVtG6667Lu233355fxwAAAAGWLRokWoCxIwaNSrW78KQtsObb76p0qSZ3/3ud9S7d++8PxIAAADNNDY2qvwX3p90yJAhdNppp8X6feuTjXh7Ne7JG5c777yTdt1117LPf/LJJ+r5Dz/8UNUXPfLII7HSoQEAANiVZFRTU0OzZs2iLbfc0t2NvcNYsGABzZ07N/bvcWlLe0t8ztpiI/rzn/+cJk2aBCMKAAAOcvbZZysjyqWNvMNYXCPqxIrURJejPfbYg9555x366U9/So899pjqdAQAAMAtzj//fLrxxhtbtunkXcaSgBhpEdzFaK+99lJGlFekLBnDiAIAgHtcdNFFyoh27dqVpk6dmtiIMjCk38GZuWxE3377bWVEeSXKmboAAADc4pJLLqHrrrtOGVFeiXLf3TTAkBLR8uXLlfHkXouBnAsjCgAA7nHFFVfQ2LFjW+TctEaUQYyUiEaOHKma0nNC0WGHHVbWiB5yyCHqBgAAwD4effRROvjgg9XPLOUOGjQo9HXce/3666/3J2tX14qUYZ+CM3TLsckmm8CQAgCA5XM9889//lPdwhg4cGAsQ4oVKQAAAJACxEgBAACAFMCQAgAAACmAIQUAAABSAEMKAAAApACGFAAAAEgBDCkAAACQAhhSAAAAIAUwpAAAAEAKYEgBAACAFMCQAgAAACmAIQXAYq6++mq12cKPf/zjsttF8fPbb789ff7555l/PgB8AL12AbCYb775hrbcckv65JNP6KGHHqJRo0a1PPfHP/6RLrvsMtpqq63o+eefp169euX6WQFwFaxIAbAY3vLvmmuuUT9ffvnl1NjYqH6+7bbblBHddNNNafr06TCiABgEhhQAy/n1r39NQ4cOpblz59Jdd91FDz74IP3Xf/0XbbTRRsqI8n0xjz/+OHXo0IEWLVoU6f3fe+89Ov3009XfWGuttdR2ggCA74G0C4ADzJgxg/bcc0/acMMN6csvv1T3LOduvfXWbV67YMECWrhwIQ0bNizSe0+ZMkUZ5p133pnmz5+vYq0ffPCBgW8BgJ3AkALgCLvssgvNmjWLNthgA2VEOcFIB2vWrFErWIZXpk899RQMKQBFQNoFwAHuvvtuevHFF9XPK1eupC5dupR9bf/+/WnMmDGR3zswogCAcDBCALCcv//973TKKadQ9+7d6YgjjqBVq1bRxRdfHPrazz77jD799FNtq1UAAAwpAFbz5JNP0tFHH02dO3emp59+msaNG6cMKpfCsMxbyuzZs9X9dtttl8OnBcBNYEgBsJTnnnuODj30UOrYsSM99thjKnmoW7duquyFOe+880INKcu+yLwFQB8wpABYyCuvvEIHHnggNTU1UW1tLe22224tz51xxhk0cOBAevnll2nChAltDOm2226ruh0BAPQAQwqAZbz55pu033770ddff61qRvfdd99Wz6+99tp01VVXqZ8vvfRSlXxUbEgh6wKgFxhSACxjyJAhKmmIuxixtFuuSQNXtnHdJxtWZvXq1TRnzhwYUgA0A0MKgCe8++67KqO31JByTShLveVKYnjly8lLfPvPf/7T6v8ffvhhRp8eALl0zPsDAACygWVdrgkdPHhwq8dXrFih7vv06RP6e0uWLKHDDjus1WPB/7l+9fjjjzf2mQGwAXQ2AsBz7rzzThVL5dXleuutl/fHAcA6IO0C4DkzZ86kc889F0YUgIRgRQoAAACkACtSAAAAIAUwpAAAAEAKYEgBAACAFMCQAgAAACmAIQUAAABSAEMKAAAApACGFAAAAEgBDCkAAACQAhhSAAAAIAUwpAAAAEAKYEgBAACAFMCQAgAAAJSc/w+bJcjFzPxlNgAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ld = qmcpy.Sobol(2) #Sobol' points\n", - "another_unif_ld = qmcpy.Uniform(ld, lower_bound=[-2,2], upper_bound=[2,4]) #define the desired probability distribution with sobol as input\n", - "points = another_unif_ld.gen_samples(2**8)\n", - "print(another_unif_ld)\n", - "print(f'\\nUniform LD points with shape {points.shape}\\n'+str(points)) #these points have 15 significant digit precision but only three digits are shown\n", - "plot_successive_points(another_unif_ld,'Uniform LD',first_n=2**8,xlim=[-2,2],ylim=[2,4])" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "DMDDTRcKv55v" - }, - "source": [ - "#### Gaussian\n", - "\n", - "A similar process can be followed for constructing points that mimic a multivariate Gaussian distribution. The transformation used here assigns the directions with the larger variance to the lower numbered coordinates of the LD sequence via principal component analysis (PCA) or equivalently an eigvenvector-eigenvalue decomposition of the covariance matrix. This takes advantage of the fact that the lower numbered coordinates of an LD sequence tend to have better evenness." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "pudZRbKjtP5G", - "outputId": "8a18aa0a-ff65-4fc7-cd0a-5c2cef03a1e6" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gaussian (AbstractTrueMeasure)\n", - " mean [3 2]\n", - " covariance [[9 5]\n", - " [5 4]]\n", - " decomp_type PCA\n", - "\n", - "Gaussian LD Points with shape (256, 2)\n", - "[[ 9.80784089e-01 -6.70135637e-01]\n", - " [ 4.29201337e+00 3.08939243e+00]\n", - " [ 2.70351262e+00 1.39177419e+00]\n", - " [ 6.94591370e+00 5.61220091e+00]\n", - " [ 1.22732660e+00 1.58259254e+00]\n", - " [ 5.96795261e+00 2.99596433e+00]\n", - " [ 2.44027019e+00 3.89861289e+00]\n", - " [-1.57840943e+00 -8.93333455e-01]\n", - " [ 1.08644957e+00 5.76156485e-01]\n", - " [ 4.28113054e+00 4.32931865e+00]\n", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ld = qmcpy.Lattice(2)\n", - "gaussian_ld = qmcpy.Gaussian(ld, mean=[3,2], covariance=[[9,5], [5,4]]) #specify the desired mean and covariance of your multivariate Gaussian distribution\n", - "points = gaussian_ld.gen_samples(2**8)\n", - "print(gaussian_ld)\n", - "print(f'\\nGaussian LD Points with shape {points.shape}\\n'+str(points)) #these points have 15 significant digit precision but only three digits are shown\n", - "plot_successive_points(gaussian_ld,'Gaussian LD',first_n=2**8,xlim=[-6,12],ylim=[-2,6])" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "lcgMPIqo4i0-" - }, - "source": [ - "[TransformedLD]: https://arxiv.org/abs/2004.09887 \"Li, Y., Kang, L., and Hickernell, F. J. Is a Transformed Low Discrepancy Design Also Low Discrepancy? in Contemporary Experimental Design, Multivariate Analysis and Data Mining, Festschrift in Honour of Professor Kai-Tai Fang (J. Fan and J. Pan, eds.), p. 69–92, 2020.\"\n", - "\n", - "Transformations of low discrepancy sequences often have good properties, but may not be low discrepancy themselves, depending on your definition of discrepancy as shown by [Yiou Li and Lulu Kang][TransformedLD]." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "azx_-HNzb6m5" - }, - "source": [ - "**_Pause for questions_**" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "iaAiqS7ccQ2v" - }, - "source": [ - "## Integration\n", - "\n", - "[Keister]: https://aip.scitation.org/doi/pdf/10.1063/1.168565 \"Keister, B. D. Multidimensional Quadrature Algorithms. Computers in Physics 10, 119–122 (1996).\"\n", - "\n", - "Cubature—the approximation of multivariate integrals—is an important application area for QMC. To solve this problem we need the ``Integrand`` and ``StoppingCriterion`` classes.\n", - "\n", - "Consider the followng $d$-variate integral due to [Keister][Keister]:\n", - "\\begin{equation*}\n", - "\\mu = \\int_{\\mathbb{R}^d} \\cos(\\lVert\\boldsymbol{t}\\rVert) \\exp( - \\lVert \\boldsymbol{t} \\rVert^2) \\, \\mathrm{d} \\boldsymbol{t},\n", - "\\end{equation*}\n", - "where $\\lVert \\cdot \\rVert$ is the Euclidean norm. To approximate this integral via (Q)MC methods, it needs to be written as the integral with respect to a probability measure, e.g.,\n", - "\\begin{equation*}\n", - "\\mu = \\int_{\\mathbb{R}^d} \\underbrace{\\pi^{d/2} \\cos(\\lVert\\boldsymbol{t}\\rVert)}_{g(\\boldsymbol{t})} \\; \\underbrace{\\pi^{-d/2} \\exp( - \\lVert \\boldsymbol{t} \\rVert^2) \\, \\mathrm{d} \\boldsymbol{t}}_{\\mathcal{N}(\\boldsymbol{0}_d,\\mathsf{I}_d/2) \\text{ measure}}.\n", - "\\end{equation*}\n", - "Using transformation techniques highlighted above, this integral can be further transformed to an integral over the unit cube, which is suitable for certain stopping criteria:\n", - "\\begin{equation*}\n", - "\\mu = \\int_{[0,1]^d} \\underbrace{\\pi^{d/2} \\cos\\left(\\sqrt{ \\frac 12 \\sum_{j=1}^d \\bigl[\\Phi^{-1}(x_j)\\bigr]^2}\\right)}_{f(\\boldsymbol{x})} \\, \\rm d \\boldsymbol{x}.\n", - "\\end{equation*}\n", - "\n", - "Although it may seem counter-intuitive, we set up our numerical problem by\n", - "\n", - "* first choosing the ``DiscreteDistribution`` object,\n", - "* next the ``TrueMeasure`` object,\n", - "* thirdly choosing ``Integrand`` object, and\n", - "* finally the ``StoppingCriterion`` object." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "id": "_w1FeeDRcbok" - }, - "outputs": [], - "source": [ - "d = 5 #coded as parameters so that\n", - "tol = 1e-3 #you can change here and propagate them through this example\n", - "lattice = qmcpy.Lattice(d)\n", - "gaussian_lattice = qmcpy.Gaussian(lattice, mean = 0, covariance = 1/2) #mean and covariance of the distribution identified above" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "HXqFIrY-kKky" - }, - "source": [ - "### ``Integrand`` objects\n", - "\n", - "The ``TrueMeasure`` object becomes input to an ``Integrand`` object, which transforms our original integrand, $g$, to our eventual integrand, $f$. This transformation relies on the ``TrueMeasure`` object along with its corresponding ``DiscreteDistribution`` object. The object ``qmcpy.Keister`` has already been coded as a use case in ``qmcpy``." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "id": "x4xC0suLkGCf" - }, - "outputs": [], - "source": [ - "keister = qmcpy.Keister(gaussian_lattice) #transform the original integrand to the eventual one" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "lerpTkUtkMNn" - }, - "source": [ - "### ``StoppingCriterion`` objects and the ``integrate`` method\n", - "\n", - "[CubQMCLatticeG]: https://arxiv.org/abs/1411.1966 \"Jiménez Rugama, Ll. A. & Hickernell, F. J. Adaptive Multidimensional Integration Based on Rank-1 Lattices in Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (eds Cools, R. & Nuyens,D.) 163.arXiv:1411.1966 (Springer-Verlag, Berlin, 2016), 407–422.\"\n", - "\n", - "Determining the sample size needed requires a stopping criterion, which typically depends on the error tolerance, ``abs_tol``. The stopping criterion attempts to produce the answer satisfying the error tolerance with not much more work than is truly needed. There are several ``StoppingCriterion`` objects available, but they tend to work for specific LD sequences. This one comes from [Tony Jiménez Rugama][CubQMCLatticeG]. It takes as its input the ``Integrand`` object, which carries information about the ``TrueMeasure`` object and its ``DiscreteDistribution`` object." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "id": "xNaRz44KkGZt" - }, - "outputs": [], - "source": [ - "keister_lattice_gauss_g = qmcpy.CubQMCLatticeG(keister, abs_tol = tol) #using Tony's stopping criterion" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "h09IBoHscjaY" - }, - "source": [ - "Invoking the ``integrate`` method returns the numerical solution and a data object. Printing the data object provides a neat summary of the integration problem. For details of the output fields, see the online, searchable QMCPy Documentation at [https://qmcpy.readthedocs.io/](https://qmcpy.readthedocs.io/en/latest/algorithms.html#module-qmcpy.integrand.keister)." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "bvo8WUAociQk", - "outputId": "e355bb54-2e9c-4721-91b0-1f32ab23a994" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 1.135\n", - " comb_bound_low 1.135\n", - " comb_bound_high 1.136\n", - " comb_bound_diff 0.001\n", - " comb_flags 1\n", - " n_total 2^(17)\n", - " n 2^(17)\n", - " time_integrate 0.042\n", - "CubQMCLatticeG (AbstractStoppingCriterion)\n", - " abs_tol 0.001\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(30)\n", - "Keister (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - " transform Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", - " d 5\n", - " replications 1\n", - " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 38563684764170563855999902143753109741\n" - ] - } - ], - "source": [ - "solution, data = keister_lattice_gauss_g.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Tp1gEJNvHrCH" - }, - "source": [ - "#### Fixed sample budget computation\n", - "\n", - "If you are not concerned about meeting an error tolerance but can only afford ``n_max`` function values, then you can set an ``abs_tol`` small enough and set ``n_max`` to your desired sample size. You will get an error bound." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "qqQBnGnpdQGG", - "outputId": "7d9a57a6-c4fb-40f8-f4cc-45ef1ed8940d" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 1.129\n", - " comb_bound_low 1.116\n", - " comb_bound_high 1.142\n", - " comb_bound_diff 0.026\n", - " comb_flags 0\n", - " n_total 2^(12)\n", - " n 2^(12)\n", - " time_integrate 0.003\n", - "CubQMCLatticeG (AbstractStoppingCriterion)\n", - " abs_tol 1.00e-06\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(12)\n", - "Keister (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - " transform Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", - " d 5\n", - " replications 1\n", - " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 38563684764170563855999902143753109741\n" - ] - } - ], - "source": [ - "warnings.simplefilter(\"ignore\")\n", - "keister_lattice_gauss_g_small_n = qmcpy.CubQMCLatticeG(keister, abs_tol = 1e-6, n_limit = 2**12) #the default n_max is 2**35\n", - "solution, data = keister_lattice_gauss_g_small_n.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "TfKJMMnwo_6k" - }, - "source": [ - "#### QMC is much faster than MC. (Q)MC cost is mostly dimension dependent\n", - "\n", - "Run this next code block to see how the run time and the number of function evaluations increase as the tolerance decreases. QMC using LD sequences uses much less time and much fewer function values than MC using IID sequences.\n", - "\n", - "Tensor product rules have a time or function value cost that is $\\mathcal{O}(\\varepsilon^{-d/r})$, where $\\varepsilon$ is the error tolerance and $r$ is bounded above by both the smoothness of the integrand and the quality of the algorithm. Such rules have a _curse of dimensionality_ because their cost blows up exponentially with dimension.\n", - "\n", - "Unlike tensor product cubature rules, the cost of (Q)MC cubature is essentially dimension independent: $\\mathcal{O}(\\varepsilon^{-2})$ for IID MC and typically $\\mathcal{O}(\\varepsilon^{-1-\\delta})$ for QMC. Although Q(MC) is not particularly fast, its performance usually does not degrade as the number of variables of in the integrand increases." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 436 - }, - "id": "EzaSx-P5UWHY", - "outputId": "2dc5b0eb-310c-4aa1-b185-f6024a1221ea" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Keister integral = 1.1356452963607024\n", - "\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "d = 5; tol = 2.5e-3 #re-construct the example\n", - "#d = 7; tol = 3e-3 #if you change the dimension\n", - "#d = 10; tol = 3e-2 #you may also wish to change the tolerance, since the value of the integral changes\n", - "ld_keister = qmcpy.Keister(qmcpy.Gaussian(qmcpy.Lattice(d), mean = 0, covariance = 1/2)) #mean and covariance of the distribution identified above\n", - "iid_keister = qmcpy.Keister(qmcpy.Gaussian(qmcpy.IIDStdUniform(d), mean = 0, covariance = 1/2))\n", - "\n", - "n_tol = 7\n", - "ii_iid = 2 #make this larger to reduce the time required\n", - "tol_vec = [tol*2**(ii) for ii in range(n_tol)] #initialize\n", - "ld_time = [0]*n_tol; ld_n = [0]*n_tol #low discrepancy time and number of function values\n", - "iid_time = [0]*n_tol; iid_n = [0]*n_tol #IID time and number of function values\n", - "for ii in range(n_tol):\n", - " solution, data = qmcpy.CubQMCLatticeG(ld_keister, abs_tol = tol_vec[ii]).integrate()\n", - " if ii == 0:\n", - " print(f'\\nKeister integral = {solution}\\n')\n", - " ld_time[ii] = data.time_integrate\n", - " ld_n[ii] = data.n_total\n", - " if ii >= ii_iid:\n", - " solution, data = qmcpy.CubMCG(iid_keister, abs_tol = tol_vec[ii]).integrate()\n", - " iid_time[ii] = data.time_integrate\n", - " iid_n[ii] = data.n_total\n", - "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(13,5.5))\n", - "ax[0].scatter(tol_vec[0:n_tol],ld_time[0:n_tol],color='b');\n", - "ax[0].plot(tol_vec[0:n_tol],[(ld_time[0]*tol_vec[0])/tol_vec[jj] for jj in range(n_tol)],color='b')\n", - "ax[0].scatter(tol_vec[ii_iid:n_tol],iid_time[ii_iid:n_tol],color='g');\n", - "ax[0].plot(tol_vec[ii_iid:n_tol],[(iid_time[ii_iid]*(tol_vec[ii_iid]**2))/(tol_vec[jj]**2) for jj in range(ii_iid,n_tol)],color='g')\n", - "ax[0].set_ylim([0.001,1000]); ax[0].set_ylabel('Time (s)')\n", - "ax[1].scatter(tol_vec[0:n_tol],ld_n[0:n_tol],color='b');\n", - "ax[1].plot(tol_vec[0:n_tol],[(ld_n[0]*tol_vec[0])/tol_vec[jj] for jj in range(n_tol)],color='b')\n", - "ax[1].scatter(tol_vec[ii_iid:n_tol],iid_n[ii_iid:n_tol],color='g');\n", - "ax[1].plot(tol_vec[ii_iid:n_tol],[(iid_n[ii_iid]*(tol_vec[ii_iid]**2))/(tol_vec[jj]**2) for jj in range(ii_iid,n_tol)],color='g')\n", - "ax[1].set_ylim([1e2,1e8]); ax[1].set_ylabel('n')\n", - "for ii in range(2):\n", - " ax[ii].set_xlim([tol,100*tol]); ax[ii].set_xlabel('Tolerance, '+r'$\\varepsilon$')\n", - " ax[ii].set_xscale('log'); ax[ii].set_yscale('log')\n", - " ax[ii].legend([r'$\\mathcal{O}(\\varepsilon^{-1})$',r'$\\mathcal{O}(\\varepsilon^{-2})$','LD','IID'],frameon=False)\n", - " ax[ii].set_aspect(0.35)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "xjYc-Lco8mfm" - }, - "source": [ - "### Alternatives for ``StoppingCriterion``\n", - "\n", - "Other ``StoppingCriterion`` objects are available. Most are tied to particular ``DiscreteDistribution`` objects. For LD points one can use replications and the Central Limit Theorem (CLT)." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "jlMvENFj83_Q", - "outputId": "5a8ab21d-fbd1-4bf8-a2af-15f617c7b7da" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 1.135\n", - " comb_bound_low 1.134\n", - " comb_bound_high 1.136\n", - " comb_bound_diff 0.002\n", - " comb_flags 1\n", - " n_total 122880\n", - " n 122880\n", - " n_rep 2^(13)\n", - " time_integrate 0.029\n", - "CubQMCRepStudentT (AbstractStoppingCriterion)\n", - " inflate 1\n", - " alpha 0.010\n", - " abs_tol 0.003\n", - " rel_tol 0\n", - " n_init 2^(8)\n", - " n_limit 2^(30)\n", - "Keister (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - " transform Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", - " d 5\n", - " replications 15\n", - " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 275034244784380212109446453686580990022\n" - ] - } - ], - "source": [ - "lattice_rep = qmcpy.Lattice(d,replications=15)\n", - "gaussian_lattice_rep = qmcpy.Gaussian(lattice_rep, mean = 0, covariance = 1/2)\n", - "keister_rep = qmcpy.Keister(gaussian_lattice_rep)\n", - "keister_lattice_gauss_CLT = qmcpy.CubQMCCLT(keister_rep, abs_tol = tol) #using a CLT stopping criterion with random replications\n", - "solution, data = keister_lattice_gauss_CLT.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "HCadgtCYb_AJ" - }, - "source": [ - "This answer agrees with the one above." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "n1BT5mFBiwA0" - }, - "source": [ - "### Alternatives for ``TrueMeasure``\n", - "\n", - "The Keister integrand may also be solved using a Lebesgue ``TrueMeasure`` object:\n", - "$$\\mu = \\int_{\\mathbb{R}^d} \\underbrace{\\cos(\\lVert\\boldsymbol{t}\\rVert) \\exp( - \\lVert\\boldsymbol{t}\\rVert^2)}_{g(\\boldsymbol{t})} \\, \\underbrace{\\mathrm{d} \\boldsymbol{t}}_{\\text{Lebesgue measure}}$$\n", - "The ``TrueMeasure`` object contains the appropriate information so that the ``Integrand`` object can obtain the correct eventual integrand, $f$, in terms of the original integrand, $g$. \n", - "\n", - "Since ``TrueMeasure`` is not a probability measure, so it cannot be mimicked, but it can be used to solve the integration problem. The ``Integrand`` object maps the problem using an affine transformation for finite boxes and an inverse normal distribution function transformation for $\\mathbb{R}^d$.\n", - "\n", - "The code below also shows how to take our own integrand defined with a simple input and output, and turn it into a ``qmcpy`` ready integrand using the ``qmcpy.CustomFun`` object." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Y8FUgw9PVaMt", - "outputId": "5518418c-da80-41b8-c0be-7f7bc51cec3f" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 1.136\n", - " comb_bound_low 1.133\n", - " comb_bound_high 1.138\n", - " comb_bound_diff 0.004\n", - " comb_flags 1\n", - " n_total 2^(16)\n", - " n 2^(16)\n", - " time_integrate 0.030\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.003\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "CustomFun (AbstractIntegrand)\n", - "Lebesgue (AbstractTrueMeasure)\n", - " transform Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 1\n", - " decomp_type PCA\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 5\n", - " replications 1\n", - " randomize LMS DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order RADICAL INVERSE\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 91580573475794728146679265749810645603\n" - ] - } - ], - "source": [ - "def my_Keister(x): #this could be a functional of a solution to a PDE with random coefficients\n", - " #or anything that you would like\n", - " \"\"\"\n", - " x: nxd numpy ndarray\n", - " n samples\n", - " d dimensions\n", - "\n", - " returns n-vector of the Keister function\n", - " evaluated at the n input samples\n", - " \"\"\"\n", - " d = x.shape[1]\n", - " norm = np.sqrt((x**2).sum(1))\n", - " k = np.cos(norm)*np.exp(-norm**2)\n", - " return k #size n vector\n", - "\n", - "ld = qmcpy.Sobol(d) #choose the LD points\n", - "lebesgue = qmcpy.Lebesgue(qmcpy.Gaussian(ld)) #now choose the Lebesgue distribution\n", - "f = qmcpy.CustomFun(lebesgue, g=my_Keister)\n", - "keister_lebesgue_ld_g = qmcpy.CubQMCSobolG(f, abs_tol = tol) #the stopping criterion does need to match the LD points\n", - "solution, data = keister_lebesgue_ld_g.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "_2SFs_6Ma-9q" - }, - "source": [ - "This answer agrees with the answers above for the same integration problem.\n", - "\n", - "The initial ``DiscreteDistribution`` does not need to mimic the standard uniform distribution as this next example shows." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "8a0KABTT3Lai", - "outputId": "85d5d973-00f1-4945-be11-83e84da6426a" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 1.127\n", - " bound_low 1.099\n", - " bound_high 1.155\n", - " bound_diff 0.056\n", - " n_total 1694184\n", - " time_integrate 0.361\n", - "CubMCCLT (AbstractStoppingCriterion)\n", - " abs_tol 0.025\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(30)\n", - " inflate 1.200\n", - " alpha 0.010\n", - "CustomFun (AbstractIntegrand)\n", - "Lebesgue (AbstractTrueMeasure)\n", - " transform Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 1\n", - " decomp_type PCA\n", - "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", - " d 5\n", - " replications 1\n", - " entropy 110067297374675390351789060258764096093\n" - ] - } - ], - "source": [ - "iid = qmcpy.IIDStdUniform(d) #choose the LD points\n", - "lebesgue = qmcpy.Lebesgue(qmcpy.Gaussian(iid)) #now choose the Lebesgue distribution\n", - "f = qmcpy.CustomFun(lebesgue, g=my_Keister)\n", - "keister_lebesgue_ld_g = qmcpy.CubMCCLT(f, abs_tol = 10*tol) #the stopping criterion does need to match the points\n", - "solution, data = keister_lebesgue_ld_g.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "py0Q1ysPyhdn" - }, - "source": [ - "### Multi-level (Q)MC\n", - "\n", - "When the dimesion of the multivariate integral is high, multi-level (Quasi-)Monte Carlo (ML(Q)MC) methods may save computation time. The cost of one integrand value depends on the number of input variables, $d$, which corresponds to the dimension of our integration problem. ML(Q)MC methods allow us attain our accuracy requirements by evaluating low dimensional integrands many times and high dimensional integrands much fewer times.\n", - "\n", - "High or infinte dimesional integration problems arise when computing the expectations of quantities coming stochastic differential equations (SDEs). These problems arise in finance applications. The dimension of the integrand typically refers to the number of time steps used to discretize the SDE.\n", - "\n", - "Here are some parameters for the Asian option examples below. Changing them here allows you to compare the run times of these examples in a fair way." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "id": "V_IXXRnNuBAa" - }, - "outputs": [], - "source": [ - "abs_tol = .05 #a nickel\n", - "n_time_steps = 64 #being a power of 2 will help for multi-level\n", - "\n", - "options = { #there should be nothing magic about these choices\n", - " 'interest_rate': .05,\n", - " 'volatility': .5,\n", - " 'start_price': 30,\n", - " 'strike_price': 30\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "byuaaQO4rYpS" - }, - "source": [ - "#### Single Level MC\n", - "\n", - "The vanilla way to solve this problem is IID Monte Carlo. The fair price of the option is an expectation or integral, and the dimension is the number of time steps of used to discretize the Brownian motion that drives the SDE describing the price of the underlying asset. The number of time steps should be fairly large.\n", - "\n", - "[CubMCG]: https://arxiv.org/abs/1208.4318 \"Fred J. Hickernell, Lan Jiang, Yuewei Liu, and Art B. Owen, 'Guaranteed conservative fixed width confidence intervals via Monte Carlo sampling,' Monte Carlo and Quasi-Monte Carlo Methods 2012 (J. Dick, F.Y. Kuo, G. W. Peters, and I. H. Sloan, eds.), pp. 105-128, Springer-Verlag, Berlin, 2014. DOI: 10.1007/978-3-642-41095-6_5\"\n", - "\n", - "[This paper by Lan Jiang and collaborators][CubMCG] describes the stopping criterion." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "DoxNSMfFl5C-", - "outputId": "c093118a-cc82-4bf3-81ed-2f85a69ff446" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 3.686\n", - " bound_low 3.636\n", - " bound_high 3.736\n", - " bound_diff 0.100\n", - " n_total 225848\n", - " time_integrate 0.834\n", - "CubMCG (AbstractStoppingCriterion)\n", - " abs_tol 0.050\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(30)\n", - " inflate 1.200\n", - " alpha 0.010\n", - " kurtmax 1.478\n", - "AsianOption (AbstractIntegrand)\n", - " option ASIAN\n", - " call_put CALL\n", - " volatility 2^(-1)\n", - " start_price 30\n", - " strike_price 30\n", - " interest_rate 0.050\n", - " t_final 1\n", - " asian_mean ARITHMETIC\n", - "BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 0\n", - " mean [0. 0. 0. ... 0. 0. 0.]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - " transform BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 0\n", - " mean [0. 0. 0. ... 0. 0. 0.]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", - " d 2^(6)\n", - " replications 1\n", - " entropy 14445467058155448935378672762555839489\n" - ] - } - ], - "source": [ - "iidBrownian = qmcpy.BrownianMotion(qmcpy.IIDStdUniform(n_time_steps))\n", - "payoff = qmcpy.AsianOption(iidBrownian, **options)\n", - "IIDstop = qmcpy.CubMCG(payoff,abs_tol=abs_tol)\n", - "price,data = IIDstop.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "HzGDIfvanzgk" - }, - "source": [ - "#### Adaptive Multilevel MC from Mike Giles\n", - "\n", - "[CubMCML]: https://pubsonline.informs.org/doi/abs/10.1287/opre.1070.0496 \"Giles, M. Multilevel Monte Carlo Path Simulation. Operations Research 56,607–617 (June 2008).\"\n", - "\n", - "[GilesSoftware]: http://people.maths.ox.ac.uk/~gilesm/mlmc/\n", - "\n", - "Mike Giles and his collaborators have developed several ML(Q)MC algorithms. The ML IID MC algorithm and stopping criterion implemented here are from [this paper][CubMCML] and [this code][GilesSoftware]. The answer is expected to be different than above, even with the same parameters, as the `MLCallOptions` uses a different discretization. The algorithm considers the SDE for logarithm of the stock price, which allows exact time stepping for constant interest rates and volatirilities, while Giles uses a Milstein discretization for the SDE for the stock price iteself." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "d2ZmrKjyoYY0", - "outputId": "b662e8fb-5ef3-4960-8ffd-0b9cf41bc94e" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 3.681\n", - " n_total 430326\n", - " levels 3\n", - " n_level [341502 61469 27319]\n", - " mean_level [3.589 0.071 0.021]\n", - " var_level [39.742 2.575 0.665]\n", - " cost_per_sample [2. 4. 8.]\n", - " alpha 1.769\n", - " beta 1.953\n", - " gamma 1.000\n", - " time_integrate 0.077\n", - "CubMLMC (AbstractStoppingCriterion)\n", - " rmse_tol 0.019\n", - " n_init 2^(8)\n", - " levels_min 2^(1)\n", - " levels_max 10\n", - " theta 2^(-1)\n", - "AsianOption (AbstractIntegrand)\n", - " option ASIAN\n", - " call_put CALL\n", - " volatility 2^(-1)\n", - " start_price 30\n", - " strike_price 30\n", - " interest_rate 0.050\n", - " t_final 1\n", - " asian_mean ARITHMETIC\n", - "BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 0\n", - " mean [0. 0. 0. ... 0. 0. 0.]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - " transform BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 0\n", - " mean [0. 0. 0. ... 0. 0. 0.]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", - " d 2^(6)\n", - " replications 1\n", - " entropy 14445467058155448935378672762555839489\n" - ] - } - ], - "source": [ - "giles_MLMC_stop = qmcpy.CubMCML(payoff,abs_tol=abs_tol)\n", - "solution,data = giles_MLMC_stop.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "HTkrRMi9rk_b" - }, - "source": [ - "#### Single Level QMC Baseline\n", - "\n", - "[CubQMCSobolG]: https://arxiv.org/abs/1410.8615 \"Fred J. Hickernell and Lluis Antoni Jimenez Rugama, 'Reliable adaptive cubature using digital sequences,' Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (R. Cools and D. Nuyens, eds.), Springer Proceedings in Mathematics and Statistics, vol. 163, Springer-Verlag, Berlin, 2016, arXiv:1410.8615 [math.NA], pp. 367-383.\"\n", - "\n", - "Tony Jiménez's stopping criterion for cubature via Sobol' sequences in [this paper][CubQMCSobolG] does not yet work for multi-level problems. Here it is treating the option pricing problem as a high dimensional integral." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "XtUqkZ1Qr2tH", - "outputId": "07d0855f-1747-407b-a04c-b6d9cc18c1e1" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 3.697\n", - " comb_bound_low 3.672\n", - " comb_bound_high 3.721\n", - " comb_bound_diff 0.049\n", - " comb_flags 1\n", - " n_total 2^(10)\n", - " n 2^(10)\n", - " time_integrate 0.003\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.050\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "AsianOption (AbstractIntegrand)\n", - " option ASIAN\n", - " call_put CALL\n", - " volatility 2^(-1)\n", - " start_price 30\n", - " strike_price 30\n", - " interest_rate 0.050\n", - " t_final 1\n", - " asian_mean ARITHMETIC\n", - "BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 0\n", - " mean [0. 0. 0. ... 0. 0. 0.]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - " transform BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 0\n", - " mean [0. 0. 0. ... 0. 0. 0.]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 2^(6)\n", - " replications 1\n", - " randomize LMS DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order RADICAL INVERSE\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 267658111069601541207388819540918772545\n" - ] - } - ], - "source": [ - "sobol_brownian = qmcpy.BrownianMotion(qmcpy.Sobol(n_time_steps))\n", - "integrand = qmcpy.AsianOption(sobol_brownian, **options)\n", - "stopping_criterion = qmcpy.CubQMCSobolG(integrand,abs_tol = abs_tol)\n", - "solution,data = stopping_criterion.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ViBnbZ2GQDGK" - }, - "source": [ - "### Importance Sampling\n", - "\n", - "For the option pricing problem, we may add a drift to the Brownian motion as an example of importance sampling.\n", - "\n", - "First, we need to change our problem to one for which importance sampling can show some benefit. We consider an out-of-the-money call option." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "id": "Le1wHMsTQana" - }, - "outputs": [], - "source": [ - "abs_tol = .001\n", - "n_time_steps = 64\n", - "\n", - "options = {\n", - " 'interest_rate': .05,\n", - " 'volatility': .5,\n", - " 'start_price': 30,\n", - " 'strike_price': 40 #a larger strike price than before\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "LIqdo4uuQsRd" - }, - "source": [ - "First we price it as above using single level QMC." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "NeXo-ZgUQ0IN", - "outputId": "8cabc874-c146-49f0-ea71-2413ee05367d" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 1.018\n", - " comb_bound_low 1.017\n", - " comb_bound_high 1.019\n", - " comb_bound_diff 0.002\n", - " comb_flags 1\n", - " n_total 2^(15)\n", - " n 2^(15)\n", - " time_integrate 0.118\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.001\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "AsianOption (AbstractIntegrand)\n", - " option ASIAN\n", - " call_put CALL\n", - " volatility 2^(-1)\n", - " start_price 30\n", - " strike_price 40\n", - " interest_rate 0.050\n", - " t_final 1\n", - " asian_mean ARITHMETIC\n", - "BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 0\n", - " mean [0. 0. 0. ... 0. 0. 0.]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - " transform BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 0\n", - " mean [0. 0. 0. ... 0. 0. 0.]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 2^(6)\n", - " replications 1\n", - " randomize LMS DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order RADICAL INVERSE\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 68741035845447190293894879002444698271\n" - ] - } - ], - "source": [ - "sobol_brownian = qmcpy.BrownianMotion(qmcpy.Sobol(n_time_steps))\n", - "integrand = qmcpy.AsianOption(sobol_brownian, **options)\n", - "stopping_criterion = qmcpy.CubQMCSobolG(integrand,abs_tol = abs_tol)\n", - "solution,data = stopping_criterion.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "1pgJzDBVRIzH" - }, - "source": [ - "Next, we introduce an upward drift in the Brownian motion, which produces more stock price paths with positive payoffs. This produces a smaller varation in the integrand and a generally faster run time. (There still remains the question of how to automatically choose an optimal drift.)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "MAXEi_UkRstV", - "outputId": "f2732860-468e-4861-c693-106a97d6f719" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 1.018\n", - " comb_bound_low 1.018\n", - " comb_bound_high 1.019\n", - " comb_bound_diff 0.001\n", - " comb_flags 1\n", - " n_total 2^(15)\n", - " n 2^(15)\n", - " time_integrate 0.115\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.001\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "AsianOption (AbstractIntegrand)\n", - " option ASIAN\n", - " call_put CALL\n", - " volatility 2^(-1)\n", - " start_price 30\n", - " strike_price 40\n", - " interest_rate 0.050\n", - " t_final 1\n", - " asian_mean ARITHMETIC\n", - "BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 0\n", - " mean [0. 0. 0. ... 0. 0. 0.]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - " transform BrownianMotion (AbstractTrueMeasure)\n", - " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", - " drift 2^(-1)\n", - " mean [0.008 0.016 0.023 ... 0.484 0.492 0.5 ]\n", - " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", - " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", - " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", - " ...\n", - " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", - " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", - " decomp_type PCA\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 2^(6)\n", - " replications 1\n", - " randomize LMS DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order RADICAL INVERSE\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 195386499743864987571337198121595404839\n" - ] - } - ], - "source": [ - "sobol_drift_brownian = qmcpy.BrownianMotion(qmcpy.Sobol(n_time_steps), drift = 0.5)\n", - "integrand = qmcpy.AsianOption(sobol_drift_brownian, **options)\n", - "stopping_criterion = qmcpy.CubQMCSobolG(integrand,abs_tol = abs_tol)\n", - "solution,data = stopping_criterion.integrate()\n", - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Qx-HQwxacQAA" - }, - "source": [ - "**_Pause for questions_**" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "76dT8RIbKvr3" - }, - "source": [ - "## Under the hood\n", - "\n", - "The structure of ``qmcpy`` is that there are five major classes:\n", - "\n", - "* ``DiscreteDistribution`` used to generate LD sequences, primarily on $[0,1]^d$\n", - "* ``TrueMeasure`` for using these LD sequences to mimic other distributions and to define integrals with respect to other measures\n", - "* ``Integrand`` to define the integrand for the multivariate integration problems\n", - "* ``StoppingCriterion`` to determine when the desired accuracy has been reached\n", - "* ``AccumulateData`` the invisible class used to keep track of important data as you continue to sample\n", - "\n", - "We look at some of the important parameters that the corresponding objects have." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "UlHMBejwK4_v" - }, - "source": [ - "[GAIL]: http://gailgithub.github.io/GAIL_Dev/ \"Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell, Lan Jiang, Lluis Antoni Jimenez Rugama, Da Li, Jagadeeswaran Rathinavel, Xin Tong, Kan Zhang, Yizhi Zhang, and Xuan Zhou, GAIL: Guaranteed Automatic Integration Library (Version 2.3.1) [MATLAB Software], 2020. Available from `http://gailgithub.github.io/GAIL_Dev/`\"\n", - "\n", - "[QRNG]: https://CRAN.R-project.org/package=qrng \"Marius Hofert and Christiane Lemieux (2019). qrng: (Randomized) Quasi-Random Number Generators. R package version 0.0-7. `https://CRAN.R-project.org/package=qrng`.\"\n", - "\n", - "[OwenHalton]: https://arxiv.org/abs/1706.02808 \"Owen, A. B. 'A randomized Halton algorithm in R,' 2017. arXiv:1706.02808 [stat.CO]\"\n", - "\n", - "[MPS]: https://people.cs.kuleuven.be/~dirk.nuyens/qmc-generators/ \"F. Y. Kuo and D. Nuyens. 'Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients - a survey of analysis and implementation,' Foundations of Computational Mathematics, 16(6):1631-1696, 2016. ([springer link](https://link.springer.com/article/10.1007/s10208-016-9329-5), [arxiv link](https://arxiv.org/abs/1606.06613))\"\n", - "\n", - "[GilesSoftware]: http://people.maths.ox.ac.uk/~gilesm/mlmc/\n", - "\n", - "[PyTorch]: https://pytorch.org\n", - "\n", - "[LatticeBuilder]: http://simul.iro.umontreal.ca/latbuilder/\n", - "\n", - "### LD sequence generators\n", - "\n", - "The LD generators (``DiscreteDistribution`` objects) implemented here are drawn from several sources, which are denoted ``backend`` (first listed is the default):\n", - "- Sobol: [QRNG], [MPS], & [PyTorch]\n", - "- Lattice: [GAIL] & [MPS], with default generating vectors from [Lattice Builder][LatticeBuilder]\n", - "- Halton: [Art Owen's][OwenHalton] & [QRNG]\n", - "- Korobov: [QRNG]\n", - "\n", - "We illustrate some of the features of these varous backends and some of the other parameters that you can set." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "M60jJ1nGqzy6" - }, - "source": [ - "#### Different lattice backends and generators\n", - "\n", - "The ``qmcpy.Lattice`` generator using the GAIL and MPS ``backends`` with the same generating vectors yield the same points but in a different order. The ``stopping criterion`` ``qmcpy.CubLatticeG`` requires the GAIL order, but not all stopping criteria do." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 690 - }, - "id": "4WN-EBMh6Jqh", - "outputId": "03a61a6c-a3ea-4079-ae2d-edf0f0177a5c" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "GAIL Samples\n", - "[0. 0. 0. 0.]\n", - "[0.125 0.375 0.375 0.875]\n", - "[0.25 0.75 0.75 0.75]\n", - "[0.375 0.125 0.125 0.625]\n", - "[0.5 0.5 0.5 0.5]\n", - "[0.625 0.875 0.875 0.375]\n", - "[0.75 0.25 0.25 0.25]\n", - "[0.875 0.625 0.625 0.125]\n", - "\n", - "\n", - "MPS Samples\n", - "[0. 0. 0. 0.]\n", - "[0.5 0.5 0.5 0.5]\n", - "[0.25 0.75 0.75 0.75]\n", - "[0.75 0.25 0.25 0.25]\n", - "[0.125 0.375 0.375 0.875]\n", - "[0.625 0.875 0.875 0.375]\n", - "[0.375 0.125 0.125 0.625]\n", - "[0.875 0.625 0.625 0.125]\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "d=4; n=8\n", - "x_gail = qmcpy.Lattice(d,order='linear',randomize=False).gen_samples(n,warn=False)\n", - "print('GAIL Samples')\n", - "for i in range(n): print(x_gail[i])\n", - "x_mps = qmcpy.Lattice(d,order='natural',randomize=False).gen_samples(n,warn=False)\n", - "print('\\n\\nMPS Samples')\n", - "for i in range(n): print(x_mps[i])\n", - "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(10,5.5))\n", - "ax[0].scatter(x_gail[0:n,0],x_gail[0:n,1],color='b')\n", - "ax[0].set_title('GAIL backend')\n", - "ax[1].scatter(x_mps[0:n,0],x_mps[0:n,1],color='b')\n", - "ax[1].set_title('MPS backend')\n", - "for ii in range(2):\n", - " ax[ii].set_xlim([0,1]); ax[ii].set_xticks([0,1]); ax[ii].set_xlabel('$x_{i,1}$')\n", - " ax[ii].set_ylim([0,1]); ax[ii].set_yticks([0,1]); ax[ii].set_ylabel('$x_{i,2}$')\n", - " ax[ii].set_aspect(1)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "vhY1WrmaL-HS" - }, - "source": [ - "#### Default LDs are randomized\n", - "\n", - "LDs can be purely deterministic or they can be randomized. For lattices this corresponds to a random shift modulo one. For Sobol' sequences this corresponds to a random digital shift. (PyTorch also uses random linear scrambling.)\n", - "\n", - "This randomization is turned on by default, but can also be turned off. With randomization off, the points will always look the same. Below the first sequence of points is randomized and so is different every time the code is run. The second sequence is not randomized and stay the same.\n", - "\n", - "Turning off randomization throws a warning, which stops execution in Colab so we disable the warnings." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "T5M5DMXTgewR", - "outputId": "c7132888-4c6f-4667-b95f-cd4b0b883c00" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Randomized LD Points with shape (16, 2)\n", - "[[0.00944244 0.29799738]\n", - " [0.50944244 0.79799738]\n", - " [0.25944244 0.04799738]\n", - " [0.75944244 0.54799738]\n", - " [0.13444244 0.67299738]\n", - " [0.63444244 0.17299738]\n", - " [0.38444244 0.42299738]\n", - " [0.88444244 0.92299738]\n", - " [0.07194244 0.98549738]\n", - " [0.57194244 0.48549738]\n", - " [0.32194244 0.73549738]\n", - " [0.82194244 0.23549738]\n", - " [0.19694244 0.36049738]\n", - " [0.69694244 0.86049738]\n", - " [0.44694244 0.11049738]\n", - " [0.94694244 0.61049738]]\n", - "\n", - "Nonrandomized LD Points with shape (16, 2)\n", - "[[0. 0. ]\n", - " [0.5 0.5 ]\n", - " [0.25 0.75 ]\n", - " [0.75 0.25 ]\n", - " [0.125 0.375 ]\n", - " [0.625 0.875 ]\n", - " [0.375 0.125 ]\n", - " [0.875 0.625 ]\n", - " [0.0625 0.6875]\n", - " [0.5625 0.1875]\n", - " [0.3125 0.4375]\n", - " [0.8125 0.9375]\n", - " [0.1875 0.0625]\n", - " [0.6875 0.5625]\n", - " [0.4375 0.8125]\n", - " [0.9375 0.3125]]\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "warnings.simplefilter('ignore') #turn off warnings which stop execution in Colab\n", - "n = 16\n", - "ldA = qmcpy.Lattice(2)\n", - "ldB = qmcpy.Lattice(2, randomize = False)\n", - "pointsA = ldA.gen_samples(n) #construct some points\n", - "pointsB = ldB.gen_samples(n) #construct some points\n", - "print(f'\\nRandomized LD Points with shape {pointsA.shape}\\n'+str(pointsA)) #these points have 15 significant digit precision but only three digits are shown\n", - "print(f'\\nNonrandomized LD Points with shape {pointsB.shape}\\n'+str(pointsB)) #these points have 15 significant digit precision but only three digits are shown\n", - "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(10,5.5))\n", - "ax[0].scatter(pointsA[0:n,0],pointsA[0:n,1],color='b')\n", - "ax[1].scatter(pointsB[0:n,0],pointsB[0:n,1],color='b')\n", - "for ii in range(2):\n", - " ax[ii].set_xlim([0,1]); ax[ii].set_xticks([0,1]); ax[ii].set_xlabel('$x_{i,1}$')\n", - " ax[ii].set_ylim([0,1]); ax[ii].set_yticks([0,1]); ax[ii].set_ylabel('$x_{i,2}$')\n", - " ax[ii].set_aspect(1)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "cfp-PHhOMOJ_" - }, - "source": [ - "#### Unrandomized LDs start with $\\boldsymbol{0}$\n", - "\n", - "By definition, without randomization the first point in all the popluar LD sequences is the origin. You can try." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "3QEtEYJuiJOB", - "outputId": "63714e97-1d0d-427e-e39c-9666d7044025" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "LD Points with shape (4, 6)\n", - "[[0. 0. 0. 0. 0. 0. ]\n", - " [0.5 0.5 0.5 0.5 0.5 0.5 ]\n", - " [0.25 0.75 0.75 0.75 0.25 0.75]\n", - " [0.75 0.25 0.25 0.25 0.75 0.25]]\n" - ] - } - ], - "source": [ - "warnings.simplefilter('ignore') #turn off warnings which stop execution in Colab\n", - "ld = qmcpy.Lattice(6,randomize=False)\n", - "points = ld.gen_samples(4) #construct some points\n", - "print(f'\\nLD Points with shape {points.shape}\\n'+str(points)) #these points have 15 significant digit precision but only three digits are shown" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "95B7fJ5kMX1H" - }, - "source": [ - "#### Coordinate values of zero and one may be problemetic if transformed to $\\mathbb{R}^d$\n", - "\n", - "If a coordinate value of a point constructed on $[0,1]^d$ is zero or one, then then $0$ is mapped to $-\\infty$ and $1$ is mapped to $\\infty$ when these points are transformed to $\\mathbb{R}^d$, as is done when solving problems with Gaussian distributions. In Python, these may turn out to be ``nan``. For many applications, infinities or ``nan`` will be troublesome." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "t13Hkd1kkzjE", - "outputId": "b9785a1f-87cb-4498-f09b-b0efcce81318" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "LD Points with shape (2, 6)\n", - "[[0. 0. 0. 0. 0. 0. ]\n", - " [0.5 0.5 0.5 0.5 0.5 0.5]]\n", - "\n", - "LD Points with shape (2, 6)\n", - "[[nan nan nan nan nan nan]\n", - " [ 0. 0. 0. 0. 0. 0.]]\n" - ] - } - ], - "source": [ - "warnings.simplefilter('ignore') #turn off warnings which stop execution in Colab\n", - "ld = qmcpy.Lattice(6,randomize=False)\n", - "unif_points = ld.gen_samples(2) #construct some points\n", - "print(f'\\nLD Points with shape {unif_points.shape}\\n'+str(unif_points))\n", - "ld_gauss = qmcpy.Gaussian(ld)\n", - "gauss_points = ld_gauss.gen_samples(2)\n", - "print(f'\\nLD Points with shape {gauss_points.shape}\\n'+str(gauss_points))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "RKLIJy_U9v-2" - }, - "source": [ - "#### Replications with a fixed seed\n", - "\n", - "For debugging purposes, you may wish to fix the seed of your randomized points. This gives the advantage of an unchanging answer while avoiding the boundaries of the unit cube. When rerunning the code below, the answers are unchanged iff the seed is fixed. For Tony's stopping criterion from GAIL, the points are randomized, but the algorithm is deterministic. For the fixed-multilevel CLT stopping criterion, the points and the algorithm are both random." - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "tSr40DWa4sYW", - "outputId": "127db88b-e93f-40ac-ec0e-383177055109" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solution for GAIL stopping criterion with FIXED seed 1.8088685362448778\n", - "Solution for CLT stopping criterion with FIXED seed 1.806594507374441\n", - "Solution for GAIL stopping criterion 1.807944316997558\n", - "Solution for CLT stopping criterion 1.80672801265591\n" - ] - } - ], - "source": [ - "solution_G_fixed = qmcpy.CubQMCSobolG(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Sobol(2,seed=47),covariance=1/2))).integrate()[0]\n", - "solution_CLT_fixed = qmcpy.CubQMCCLT(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Sobol(2,seed=47,replications=15),covariance=1/2))).integrate()[0]\n", - "solution_G = qmcpy.CubQMCSobolG(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Sobol(2),covariance=1/2))).integrate()[0]\n", - "solution_CLT = qmcpy.CubQMCCLT(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Sobol(2,replications=15),covariance=1/2))).integrate()[0]\n", - "print(f'Solution for GAIL stopping criterion with FIXED seed {solution_G_fixed}')\n", - "print(f'Solution for CLT stopping criterion with FIXED seed {solution_CLT_fixed}')\n", - "print(f'Solution for GAIL stopping criterion {solution_G}')\n", - "print(f'Solution for CLT stopping criterion {solution_CLT}')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "5GNVeK8n_v2b" - }, - "source": [ - "#### Help\n", - "\n", - "You can obtain help on any object by the ``help(...)`` or ``dir(...)`` commands." - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "MT_coxDLnfr4", - "outputId": "8d3d8f0f-bd40-440e-b991-6d129f732da0" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on class DigitalNetB2 in module qmcpy.discrete_distribution.digital_net_b2.digital_net_b2:\n", - "\n", - "class DigitalNetB2(qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractLDDiscreteDistribution)\n", - " | DigitalNetB2(dimension=1, replications=None, seed=None, randomize='LMS DS', generating_matrices='joe_kuo.6.21201.txt', order='RADICAL INVERSE', t=63, alpha=1, msb=None, _verbose=False, graycode=None, t_max=None, t_lms=None)\n", - " |\n", - " | Low discrepancy digital net in base 2.\n", - " |\n", - " | Note:\n", - " | - Digital net sample sizes should be powers of $2$ e.g. $1$, $2$, $4$, $8$, $16$, $\\dots$.\n", - " | - The first point of an unrandomized digital nets is the origin.\n", - " | - `Sobol` is an alias for `DigitalNetB2`.\n", - " | - To use higher order digital nets, either:\n", - " |\n", - " | - Pass in `generating_matrices` *without* interlacing and supply `alpha`>1 to apply interlacing, or\n", - " | - Pass in `generating_matrices` *with* interlacing and set `alpha=1` to avoid additional interlacing\n", - " |\n", - " | i.e. do *not* pass in interlaced `generating_matrices` and set `alpha>1`, this will apply additional interlacing.\n", - " |\n", - " | Examples:\n", - " | >>> discrete_distrib = DigitalNetB2(2,seed=7)\n", - " | >>> discrete_distrib(4)\n", - " | array([[0.72162356, 0.914955 ],\n", - " | [0.16345554, 0.42964856],\n", - " | [0.98676255, 0.03436384],\n", - " | [0.42956655, 0.55876342]])\n", - " | >>> discrete_distrib(1) # first point in the sequence\n", - " | array([[0.72162356, 0.914955 ]])\n", - " | >>> discrete_distrib\n", - " | DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " | d 2^(1)\n", - " | replications 1\n", - " | randomize LMS DS\n", - " | gen_mats_source joe_kuo.6.21201.txt\n", - " | order RADICAL INVERSE\n", - " | t 63\n", - " | alpha 1\n", - " | n_limit 2^(32)\n", - " | entropy 7\n", - " |\n", - " | Replications of independent randomizations\n", - " |\n", - " | >>> x = DigitalNetB2(dimension=3,seed=7,replications=2)(4)\n", - " | >>> x.shape\n", - " | (2, 4, 3)\n", - " | >>> x\n", - " | array([[[0.24653277, 0.1821862 , 0.74732591],\n", - " | [0.68152903, 0.66169442, 0.42891961],\n", - " | [0.48139855, 0.79818233, 0.08201287],\n", - " | [0.91541325, 0.29520621, 0.77495809]],\n", - " | \n", - " | [[0.44876891, 0.85899604, 0.50549679],\n", - " | [0.53635924, 0.04353443, 0.33564946],\n", - " | [0.23214143, 0.29281506, 0.06841036],\n", - " | [0.75295715, 0.60241448, 0.76962976]]])\n", - " |\n", - " | Different orderings (avoid warnings that the first point is the origin)\n", - " |\n", - " | >>> DigitalNetB2(dimension=2,randomize=False,order=\"GRAY\")(n_min=2,n_max=4,warn=False)\n", - " | array([[0.75, 0.25],\n", - " | [0.25, 0.75]])\n", - " | >>> DigitalNetB2(dimension=2,randomize=False,order=\"RADICAL INVERSE\")(n_min=2,n_max=4,warn=False)\n", - " | array([[0.25, 0.75],\n", - " | [0.75, 0.25]])\n", - " |\n", - " | Generating matrices from [https://github.com/QMCSoftware/LDData/tree/main/dnet](https://github.com/QMCSoftware/LDData/tree/main/dnet)\n", - " |\n", - " | >>> DigitalNetB2(dimension=3,randomize=False,generating_matrices=\"mps.nx_s5_alpha2_m32.txt\")(8,warn=False)\n", - " | array([[0. , 0. , 0. ],\n", - " | [0.75841841, 0.45284834, 0.48844557],\n", - " | [0.57679828, 0.13226272, 0.10061957],\n", - " | [0.31858402, 0.32113875, 0.39369111],\n", - " | [0.90278927, 0.45867532, 0.01803333],\n", - " | [0.14542431, 0.02548793, 0.4749614 ],\n", - " | [0.45587539, 0.33081476, 0.11474426],\n", - " | [0.71318879, 0.15377192, 0.37629925]])\n", - " |\n", - " | All randomizations\n", - " |\n", - " | >>> DigitalNetB2(dimension=3,randomize='LMS DS',seed=5)(8)\n", - " | array([[0.69346401, 0.20118185, 0.64779396],\n", - " | [0.43998032, 0.90102467, 0.0936172 ],\n", - " | [0.86663563, 0.60910036, 0.26043276],\n", - " | [0.11327376, 0.30772653, 0.93959283],\n", - " | [0.62102883, 0.79169756, 0.77051637],\n", - " | [0.37451038, 0.1231324 , 0.46634012],\n", - " | [0.94785596, 0.38577413, 0.13377215],\n", - " | [0.20121617, 0.71843325, 0.56293458]])\n", - " | >>> DigitalNetB2(dimension=3,randomize='LMS',seed=5)(8,warn=False)\n", - " | array([[0. , 0. , 0. ],\n", - " | [0.75446077, 0.83265937, 0.69584079],\n", - " | [0.42329494, 0.65793842, 0.90427279],\n", - " | [0.67763292, 0.48937304, 0.33344964],\n", - " | [0.18550714, 0.97332905, 0.3772791 ],\n", - " | [0.93104851, 0.17195496, 0.82311652],\n", - " | [0.26221346, 0.31742386, 0.53093284],\n", - " | [0.50787715, 0.5172669 , 0.2101083 ]])\n", - " | >>> DigitalNetB2(dimension=3,randomize='DS',seed=5)(8)\n", - " | array([[0.68383949, 0.04047995, 0.42903182],\n", - " | [0.18383949, 0.54047995, 0.92903182],\n", - " | [0.93383949, 0.79047995, 0.67903182],\n", - " | [0.43383949, 0.29047995, 0.17903182],\n", - " | [0.55883949, 0.66547995, 0.05403182],\n", - " | [0.05883949, 0.16547995, 0.55403182],\n", - " | [0.80883949, 0.41547995, 0.80403182],\n", - " | [0.30883949, 0.91547995, 0.30403182]])\n", - " | >>> DigitalNetB2(dimension=3,randomize='OWEN',seed=5)(8)\n", - " | array([[0.33595486, 0.05834975, 0.30066401],\n", - " | [0.89110875, 0.84905188, 0.81833285],\n", - " | [0.06846074, 0.59997956, 0.67064205],\n", - " | [0.6693703 , 0.25824002, 0.10469644],\n", - " | [0.44586618, 0.99161977, 0.1873488 ],\n", - " | [0.84245267, 0.16445553, 0.56544372],\n", - " | [0.18546359, 0.44859876, 0.97389524],\n", - " | [0.61215442, 0.64341386, 0.44529863]])\n", - " |\n", - " | Higher order net without randomization\n", - " |\n", - " | >>> DigitalNetB2(dimension=3,randomize='FALSE',seed=7,alpha=2)(4,warn=False)\n", - " | array([[0. , 0. , 0. ],\n", - " | [0.75 , 0.75 , 0.75 ],\n", - " | [0.4375, 0.9375, 0.1875],\n", - " | [0.6875, 0.1875, 0.9375]])\n", - " |\n", - " |\n", - " | Higher order nets with randomizations and replications\n", - " |\n", - " | >>> DigitalNetB2(dimension=3,randomize='LMS DS',seed=7,replications=2,alpha=2)(4,warn=False)\n", - " | array([[[0.42955149, 0.89149058, 0.43867111],\n", - " | [0.68701828, 0.07601148, 0.51312447],\n", - " | [0.10088033, 0.16293661, 0.25144138],\n", - " | [0.85846252, 0.87103178, 0.70041789]],\n", - " | \n", - " | [[0.27151905, 0.42406763, 0.21917369],\n", - " | [0.55035224, 0.67864387, 0.90033876],\n", - " | [0.19356758, 0.57589964, 0.00347701],\n", - " | [0.97235125, 0.32168581, 0.86920948]]])\n", - " | >>> DigitalNetB2(dimension=3,randomize='LMS',seed=7,replications=2,alpha=2)(4,warn=False)\n", - " | array([[[0. , 0. , 0. ],\n", - " | [0.75817062, 0.96603053, 0.94947625],\n", - " | [0.45367986, 0.80295638, 0.18778553],\n", - " | [0.71171791, 0.2295424 , 0.76175441]],\n", - " | \n", - " | [[0. , 0. , 0. ],\n", - " | [0.78664636, 0.75470215, 0.86876474],\n", - " | [0.45336727, 0.99953621, 0.22253579],\n", - " | [0.73996397, 0.24544824, 0.9008679 ]]])\n", - " | >>> DigitalNetB2(dimension=3,randomize='DS',seed=7,replications=2,alpha=2)(4)\n", - " | array([[[0.04386058, 0.58727432, 0.3691824 ],\n", - " | [0.79386058, 0.33727432, 0.6191824 ],\n", - " | [0.48136058, 0.39977432, 0.4316824 ],\n", - " | [0.73136058, 0.64977432, 0.6816824 ]],\n", - " | \n", - " | [[0.65212985, 0.69669968, 0.10605352],\n", - " | [0.40212985, 0.44669968, 0.85605352],\n", - " | [0.83962985, 0.25919968, 0.16855352],\n", - " | [0.08962985, 0.50919968, 0.91855352]]])\n", - " | >>> DigitalNetB2(dimension=3,randomize='OWEN',seed=7,replications=2,alpha=2)(4)\n", - " | array([[[0.46368517, 0.03964427, 0.62172094],\n", - " | [0.7498683 , 0.76141348, 0.4243043 ],\n", - " | [0.01729754, 0.97968459, 0.65963223],\n", - " | [0.75365329, 0.1903774 , 0.34141493]],\n", - " | \n", - " | [[0.52252547, 0.5679709 , 0.05949112],\n", - " | [0.27248656, 0.36488289, 0.81844058],\n", - " | [0.94219959, 0.39172304, 0.20285965],\n", - " | [0.19716391, 0.64741585, 0.92494554]]])\n", - " |\n", - " | **References:**\n", - " |\n", - " | 1. Marius Hofert and Christiane Lemieux.\n", - " | qrng: (Randomized) Quasi-Random Number Generators (2019).\n", - " | R package version 0.0-7.\n", - " | [https://CRAN.R-project.org/package=qrng](https://CRAN.R-project.org/package=qrng).\n", - " |\n", - " | 2. Faure, Henri, and Christiane Lemieux.\n", - " | Implementation of Irreducible Sobol' Sequences in Prime Power Bases.\n", - " | Mathematics and Computers in Simulation 161 (2019): 13-22. Crossref. Web.\n", - " |\n", - " | 3. F.Y. Kuo, D. Nuyens.\n", - " | Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients \\- a survey of analysis and implementation.\n", - " | Foundations of Computational Mathematics, 16(6):1631-1696, 2016.\n", - " | [https://link.springer.com/article/10.1007/s10208-016-9329-5](https://link.springer.com/article/10.1007/s10208-016-9329-5).\n", - " |\n", - " | 4. D. Nuyens.\n", - " | The Magic Point Shop of QMC point generators and generating vectors.\n", - " | MATLAB and Python software, 2018.\n", - " | [https://people.cs.kuleuven.be/~dirk.nuyens/](https://people.cs.kuleuven.be/~dirk.nuyens/).\n", - " |\n", - " | 5. R. Cools, F.Y. Kuo, D. Nuyens.\n", - " | Constructing embedded lattice rules for multivariate integration.\n", - " | SIAM J. Sci. Comput., 28(6), 2162-2188.\n", - " |\n", - " | 6. I.M. Sobol', V.I. Turchaninov, Yu.L. Levitan, B.V. Shukhman.\n", - " | Quasi-Random Sequence Generators.\n", - " | Keldysh Institute of Applied Mathematics.\n", - " | Russian Academy of Sciences, Moscow (1992).\n", - " |\n", - " | 7. Sobol, Ilya & Asotsky, Danil & Kreinin, Alexander & Kucherenko, Sergei. (2011).\n", - " | Construction and Comparison of High-Dimensional Sobol' Generators. Wilmott. 2011.\n", - " | [10.1002/wilm.10056](https://onlinelibrary.wiley.com/doi/abs/10.1002/wilm.10056).\n", - " |\n", - " | 8. Paul Bratley and Bennett L. Fox.\n", - " | Algorithm 659: Implementing Sobol's quasirandom sequence generator.\n", - " | ACM Trans. Math. Softw. 14, 1 (March 1988), 88-100. 1988.\n", - " | [https://doi.org/10.1145/42288.214372](https://doi.org/10.1145/42288.2143720).\n", - " |\n", - " | Method resolution order:\n", - " | DigitalNetB2\n", - " | qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractLDDiscreteDistribution\n", - " | qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractDiscreteDistribution\n", - " | builtins.object\n", - " |\n", - " | Methods defined here:\n", - " |\n", - " | __init__(self, dimension=1, replications=None, seed=None, randomize='LMS DS', generating_matrices='joe_kuo.6.21201.txt', order='RADICAL INVERSE', t=63, alpha=1, msb=None, _verbose=False, graycode=None, t_max=None, t_lms=None)\n", - " | Args:\n", - " | dimension (Union[int, np.ndarray]): Dimension of the generator.\n", - " |\n", - " | - If an `int` is passed in, use generating vector components at indices 0,...,`dimension`-1.\n", - " | - If an `np.ndarray` is passed in, use generating vector components at these indices.\n", - " |\n", - " | replications (int): Number of independent randomizations of a pointset.\n", - " | seed (Union[None, int, np.random.SeedSeq]): Seed the random number generator for reproducibility.\n", - " | randomize (str): Options are\n", - " |\n", - " | - `'LMS DS'`: Linear matrix scramble with digital shift.\n", - " | - `'LMS'`: Linear matrix scramble only.\n", - " | - `'DS'`: Digital shift only.\n", - " | - `'NUS'`: Nested uniform scrambling. Also known as Owen scrambling.\n", - " | - `'FALSE'`: No randomization. In this case the first point will be the origin.\n", - " |\n", - " | generating_matrices (Union[str, np.ndarray, int]): Specify the generating matrices.\n", - " |\n", - " | - A `str` should be the name (or path) of a file from the LDData repo at [https://github.com/QMCSoftware/LDData/tree/main/dnet](https://github.com/QMCSoftware/LDData/tree/main/dnet).\n", - " | - An `np.ndarray` of integers with shape $(d,m_\\mathrm{max})$ or $(r,d,m_\\mathrm{max})$ where $d$ is the number of dimensions, $r$ is the number of replications, and $2^{m_\\mathrm{max}}$ is the maximum number of supported points. Setting `msb=False` will flip the bits of ints in the generating matrices.\n", - " |\n", - " | order (str): `'RADICAL INVERSE'`, or `'GRAY'` ordering. See the doctest example above.\n", - " | t (int): Number of bits in integer represetation of points *after* randomization. The number of bits in the generating matrices is inferred based on the largest value.\n", - " | alpha (int): Interlacing factor for higher order nets.\n", - " | When `alpha`>1, interlacing is performed regardless of the generating matrices,\n", - " | i.e., for `alpha`>1 do *not* pass in generating matrices which are already interlaced.\n", - " | The Note for this class contains more info.\n", - " | msb (bool): Flag for Most Significant Bit (MSB) vs Least Significant Bit (LSB) integer representations in generating matrices. If `msb=False` (LSB order), then integers in generating matrices will be bit-reversed.\n", - " | _verbose (bool): If `True`, print linear matrix scrambling matrices.\n", - " |\n", - " | ----------------------------------------------------------------------\n", - " | Methods inherited from qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractLDDiscreteDistribution:\n", - " |\n", - " | __repr__(self)\n", - " | Return repr(self).\n", - " |\n", - " | ----------------------------------------------------------------------\n", - " | Methods inherited from qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractDiscreteDistribution:\n", - " |\n", - " | __call__(self, n=None, n_min=None, n_max=None, return_binary=False, warn=True)\n", - " | - If just `n` is supplied, generate samples from the sequence at indices 0,...,`n`-1.\n", - " | - If `n_min` and `n_max` are supplied, generate samples from the sequence at indices `n_min`,...,`n_max`-1.\n", - " | - If `n` and `n_min` are supplied, then generate samples from the sequence at indices `n`,...,`n_min`-1.\n", - " |\n", - " | Args:\n", - " | n (Union[None,int]): Number of points to generate.\n", - " | n_min (Union[None,int]): Starting index of sequence.\n", - " | n_max (Union[None,int]): Final index of sequence.\n", - " | return_binary (bool): Only used for `DigitalNetB2`.\n", - " | If `True`, *only* return the integer representation `x_integer` of base 2 digital net.\n", - " | warn (bool): If `False`, disable warnings when generating samples.\n", - " |\n", - " | Returns:\n", - " | x (np.ndarray): Samples from the sequence.\n", - " |\n", - " | - If `replications` is `None` then this will be of size (`n_max`-`n_min`) $\\times$ `dimension`\n", - " | - If `replications` is a positive int, then `x` will be of size `replications` $\\times$ (`n_max`-`n_min`) $\\times$ `dimension`\n", - " |\n", - " | Note that if `return_binary=True` then `x` is returned where `x` are integer representations of the digital net points.\n", - " |\n", - " | gen_samples(self, n=None, n_min=None, n_max=None, return_binary=False, warn=True)\n", - " |\n", - " | pdf(self, x)\n", - " |\n", - " | spawn(self, s=1, dimensions=None)\n", - " | Spawn new instances of the current discrete distribution but with new seeds and dimensions.\n", - " | Used by multi-level QMC algorithms which require different seeds and dimensions on each level.\n", - " |\n", - " | Note:\n", - " | Use `replications` instead of using `spawn` when possible, e.g., when spawning copies which all have the same dimension.\n", - " |\n", - " | Args:\n", - " | s (int): Number of copies to spawn\n", - " | dimensions (np.ndarray): Length `s` array of dimensions for each copy. Defaults to the current dimension.\n", - " |\n", - " | Returns:\n", - " | spawned_discrete_distribs (list): Discrete distributions with new seeds and dimensions.\n", - " |\n", - " | ----------------------------------------------------------------------\n", - " | Data descriptors inherited from qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractDiscreteDistribution:\n", - " |\n", - " | __dict__\n", - " | dictionary for instance variables\n", - " |\n", - " | __weakref__\n", - " | list of weak references to the object\n", - "\n" - ] - }, - { - "data": { - "text/plain": [ - "['__call__',\n", - " '__class__',\n", - " '__delattr__',\n", - " '__dict__',\n", - " '__dir__',\n", - " '__doc__',\n", - " '__eq__',\n", - " '__format__',\n", - " '__ge__',\n", - " '__getattribute__',\n", - " '__getstate__',\n", - " '__gt__',\n", - " '__hash__',\n", - " '__init__',\n", - " '__init_subclass__',\n", - " '__le__',\n", - " '__lt__',\n", - " '__module__',\n", - " '__ne__',\n", - " '__new__',\n", - " '__reduce__',\n", - " '__reduce_ex__',\n", - " '__repr__',\n", - " '__setattr__',\n", - " '__sizeof__',\n", - " '__str__',\n", - " '__subclasshook__',\n", - " '__weakref__',\n", - " '_gen_samples',\n", - " '_spawn',\n", - " 'gen_samples',\n", - " 'pdf',\n", - " 'spawn']" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "help(qmcpy.Sobol)\n", - "dir(qmcpy.Sobol)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Dogw4vktLGmK" - }, - "source": [ - "### Stopping criteria\n", - "\n", - "[GAIL]: http://gailgithub.github.io/GAIL_Dev/ \"Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell, Lan Jiang, Lluis Antoni Jimenez Rugama, Da Li, Jagadeeswaran Rathinavel, Xin Tong, Kan Zhang, Yizhi Zhang, and Xuan Zhou, GAIL: Guaranteed Automatic Integration Library (Version 2.3.1) [MATLAB Software], 2020. Available from `http://gailgithub.github.io/GAIL_Dev/`\"\n", - "\n", - "\n", - "[CubMCML]: https://pubsonline.informs.org/doi/abs/10.1287/opre.1070.0496 \"Giles, M. Multilevel Monte Carlo Path Simulation. Operations Research 56,607–617 (June 2008).\"\n", - "\n", - "[CubQMCML]: https://www.semanticscholar.org/paper/Multilevel-quasi-Monte-Carlo-path-simulation-Giles-Waterhouse/25a9ca3aa216aa371d1be06fa9b93927187ee4ca \"Giles, M. B. & Waterhouse, B. J. Multilevel quasi-Monte Carlo path simulation. Advanced Financial Modelling, Radon Series on Computational and Applied Mathematics 8,165–181 (2009).\"\n", - "\n", - "[GilesSoftware]: http://people.maths.ox.ac.uk/~gilesm/mlmc/\n", - "\n", - "[CubMCG]: https://arxiv.org/abs/1208.4318 \"Hickernell, F.J., Jiang, L., Liu, Y., & Owen, A. Guaranteed Conservative Fixed Width Confidence Intervals via Monte Carlo Sampling in Monte Carlo and Quasi-Monte Carlo Methods 2012 (eds Dick, J., Kuo, F. Y., Peters, G. W., & Sloan, I. H.)\n", - "Springer Proceedings in Mathematics and Statistics, vol. 65, (Springer-Verlag, Berlin, 2013), 105–128.\"\n", - "\n", - "[CubQMCLatticeG]: https://arxiv.org/abs/1411.1966 \"Jiménez Rugama, Ll. A. & Hickernell, F. J. Adaptive Multidimensional Integration Based on Rank-1 Lattices in Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (eds Cools, R. & Nuyens,D.) 163.arXiv:1411.1966 (Springer-Verlag, Berlin, 2016), 407–422.\"\n", - "\n", - "[CubQMCSobolG]: https://arxiv.org/abs/1410.8615 \"Hickernell, F. J. & Jiménez Rugama, Ll. A. Reliable Adaptive Cubature Using Digital Sequences in Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (eds Cools, R. & Nuyens,D.) 163.arXiv:1411.1966 (Springer-Verlag, Berlin, 2016), 367--383.\"\n", - "\n", - "\n", - "The stopping criteria implemented come from several sources:\n", - "- There are Central Limit Theorem (CLT) criteria for IID and LD sampling\n", - "- Rigorous stopping criteria imported from [GAIL] have been implemented for\n", - " - [IID][CubMCG] sampling\n", - " - [Lattice][CubQMCLatticeG] sampling\n", - " - [Sobol'][CubQMCSobolG] sampling\n", - "- Multilevel stopping criteria due to [Giles][GilesSoftware] are given for [IID][CubMCML] and [LD][CubQMCML] sampling" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "3yQgB-Y1f_AQ" - }, - "source": [ - "#### Changing the tolerance\n", - "\n", - "If you want to change the error tolerance, without creating a new ``StoppingCriterion`` object, there is a ``set_tolerance`` method." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "kvsEiUG55mEi", - "outputId": "43765bc9-fede-4129-f83f-d60d0bb06adf" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 1.135\n", - " comb_bound_low 1.129\n", - " comb_bound_high 1.142\n", - " comb_bound_diff 0.012\n", - " comb_flags 1\n", - " n_total 2^(13)\n", - " n 2^(13)\n", - " time_integrate 0.007\n", - "CubQMCLatticeG (AbstractStoppingCriterion)\n", - " abs_tol 0.010\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(30)\n", - "Keister (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - " transform Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", - " d 5\n", - " replications 1\n", - " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 7 \n", - "\n", - "\n", - "Data (Data)\n", - " solution 1.136\n", - " comb_bound_low 1.135\n", - " comb_bound_high 1.136\n", - " comb_bound_diff 0.001\n", - " comb_flags 1\n", - " n_total 2^(17)\n", - " n 2^(17)\n", - " time_integrate 0.040\n", - "CubQMCLatticeG (AbstractStoppingCriterion)\n", - " abs_tol 0.001\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(30)\n", - "Keister (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - " transform Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", - " d 5\n", - " replications 1\n", - " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 7 \n", - "\n", - "\n" - ] - } - ], - "source": [ - "sc = qmcpy.CubQMCLatticeG(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Lattice(5,seed=7),covariance=1/2)),abs_tol=.01)\n", - "print(sc.integrate()[1],'\\n\\n')\n", - "sc.set_tolerance(abs_tol=.001) #changing the tolerance\n", - "print(sc.integrate()[1],'\\n\\n')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "5xDmWnPHE-qY" - }, - "source": [ - "#### Relative error tolerances\n", - "\n", - "For some problems a relative error tolerance may make more sense. By default ``rel_tol`` is zero. The stopping criterion stops when either of the two tolerances is met." - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "FpKNsUzFFVyt", - "outputId": "0a71942d-b3cc-4833-eba5-17d291bf536d" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution 1.135\n", - " comb_bound_low 1.129\n", - " comb_bound_high 1.142\n", - " comb_bound_diff 0.012\n", - " comb_flags 1\n", - " n_total 2^(13)\n", - " n 2^(13)\n", - " time_integrate 0.004\n", - "CubQMCLatticeG (AbstractStoppingCriterion)\n", - " abs_tol 0.010\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(30)\n", - "Keister (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - " transform Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", - " d 5\n", - " replications 1\n", - " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 7 \n", - "\n", - "\n", - "Data (Data)\n", - " solution 1.135\n", - " comb_bound_low 1.131\n", - " comb_bound_high 1.139\n", - " comb_bound_diff 0.008\n", - " comb_flags 1\n", - " n_total 2^(14)\n", - " n 2^(14)\n", - " time_integrate 0.006\n", - "CubQMCLatticeG (AbstractStoppingCriterion)\n", - " abs_tol 0\n", - " rel_tol 0.005\n", - " n_init 2^(10)\n", - " n_limit 2^(30)\n", - "Keister (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - " transform Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 2^(-1)\n", - " decomp_type PCA\n", - "Lattice (AbstractLDDiscreteDistribution)\n", - " d 5\n", - " replications 1\n", - " randomize SHIFT\n", - " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", - " order RADICAL INVERSE\n", - " n_limit 2^(20)\n", - " entropy 7\n" - ] - } - ], - "source": [ - "sc = qmcpy.CubQMCLatticeG(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Lattice(5,seed=7),covariance=1/2)),abs_tol=.01) #zero relative tolerance by default\n", - "print(sc.integrate()[1],'\\n\\n')\n", - "sc.set_tolerance(abs_tol=0,rel_tol=0.005) #nonzero relative tolerance and zero absolute tolerance\n", - "print(sc.integrate()[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "vJH-4-_1LMOH" - }, - "source": [ - "### Use cases\n", - "\n", - "Only a few use cases have been coded so far. These include\n", - "* ``qmcpy.keister`` Keiser's example\n", - "* European and Asian option pricing (Single and Multi-level)\n", - "* Computing Q-Noisy Expected Improvement (qEI) for Bayesian Optimization, see the blog at https://qmcpy.wpcomstaging.com/2020/07/19/qei-with-qmcpy/ and the Colaboratory notebook at https://drive.google.com/drive/folders/1EOREUL7lx4hytuZRQXB50UV8aE9JYN_a\n", - "* Importance Sampling\n", - "* Acceptance Rejection Sampling\n", - "* Custom Sampling by Inverse CDF Transform\n", - "\n", - "``qmcpy`` would benefit from contributions.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "YGwMtWj_Wa41" - }, - "source": [ - "## Acknowledgements and Contributing\n", - "\n", - "The ``qmcpy`` code has primarily been written by Aleksei Sorokin (BS/MS expected in 2021), with the generous financial support of SigOpt https://sigopt.com. However, much of the code is adapted from that of our friends (see above)\n", - "\n", - "We hope that QMCPy will become supported by the community. Your contribution will add value to QMCPy, while allowing you to take advantage of the contribution of others.\n", - "\n", - "We highlight the value of community owned software." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "LZkzVU91mJ_1" - }, - "source": [ - "### Benefitting from each other's work is easier when we share\n", - "\n", - "* Most of us are very good at just one or two things:\n", - " * LD sequence generators\n", - " * Increasing efficiency (e.g., MLMC)\n", - " * Stopping criteria\n", - " * Realistic use cases\n", - "\n", - " Having a shared software library let's us take advantage of the best\n", - "\n", - "* Provides a consistent interface for different pieces from different places\n", - "\n", - "* Supports reproducible computational research\n", - "\n", - "* Tedious stuff only needs to be figured out once" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "8Gem3kfF6qFt" - }, - "source": [ - "### A community helps find and correct code errors\n", - "\n", - "By having more eyes on code than just the developer's we are more likely to spot errors or idiosyncracies. Here are two examples." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "OFUXDQWu63T9" - }, - "source": [ - "#### MATLAB's Sobol' generator\n", - "\n", - "Several years ago Lluís Antoni Jiménez Rugama discovered that the scrambling of the Sobol' generators implemented in MATLAB's Statistics Toolbox was wrong. After reporting the problem to the developers, it was corrected in MATLAB 2017a" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "tOtbO49TSXbS" - }, - "source": [ - "#### PyTorch's Sobol' generator\n", - "\n", - "PyTorch is a popular Python library with its own Sobol generator. However, it should be used with care.\n", - "\n", - "* As noted above, the first point is skipped. \n", - "* We found that unless you specify double precision, you get points that have 1 as a coordinate far too often. The developer seemed unaware of this.\n", - "\n", - "These issues have been reported at https://github.com/pytorch/pytorch/issues/32047.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "9KVfvHiym6Pp" - }, - "source": [ - "###How you can contribute\n", - "\n", - "After trying QMCPy out help us out by\n", - "\n", - "**Easy.**
\n", - "> Submit your bugs and feature requests as issues to https://github.com/QMCSoftware/QMCSoftware/issues\n", - "\n", - "**Moderately Difficult.**
\n", - "> Ask your students or collaborators to try QMCPy for their own work and submit their bugs and feature requests\n", - "\n", - "**Heroic.**
\n", - "> Add a feature or use case and make a pull request at https://github.com/QMCSoftware/QMCSoftware/pulls so that we can included it in our next release\n", - "\n", - "Questions? Email us at qmc-software@googlegroups.com\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "1q5YeKPMAVuW" - }, - "source": [ - "## References\n", - "\n", - "1. S.-C. T. Choi, Y. Ding, F. J. Hickernell, L. Jiang, Ll. A. Jimenez Rugama, D. Li, Jagadeeswaran R., X. Tong, K. Zhang, Y. Zhang, and X. Zhou, GAIL: Guaranteed Automatic Integration Library (Version 2.3.1) [MATLAB Software], 2020. Available from `http://gailgithub.github.io/GAIL_Dev/`\n", - "\n", - "1. H. Faure and C. Lemieux. “Implementation of Irreducible Sobol’ Sequences in Prime Power Bases,” Mathematics and Computers in Simulation 161 (2019): 13–22.\n", - "\n", - "1. M. B. Giles. \"Multi-level Monte Carlo path simulation,\" Operations Research, 56(3):607-617, 2008. `http://people.maths.ox.ac.uk/~gilesm/files/OPRE_2008.pdf`.\n", - "\n", - "1. M. B. Giles. \"Improved multilevel Monte Carlo convergence using the Milstein scheme,\" 343-358, in Monte Carlo and Quasi-Monte Carlo Methods 2006, Springer, 2008. `http://people.maths.ox.ac.uk/~gilesm/files/mcqmc06.pdf`.\n", - "\n", - "1. M. B. Giles and B. J. Waterhouse. \"Multilevel quasi-Monte Carlo path simulation,\" pp.165-181 in Advanced Financial Modelling, in Radon Series on Computational and Applied Mathematics, de Gruyter, 2009. `http://people.maths.ox.ac.uk/~gilesm/files/radon.pdf`\n", - "\n", - "1. F. J. Hickernell, L. Jiang, Y. Liu, and A. B. Owen, \"Guaranteed conservative fixed width confidence intervals via Monte Carlo sampling,\" Monte Carlo and Quasi-Monte Carlo Methods 2012 (J. Dick, F.Y. Kuo, G. W. Peters, and I. H. Sloan, eds.), pp. 105-128, Springer-Verlag, Berlin, 2014. DOI: 10.1007/978-3-642-41095-6_5\n", - "\n", - "1. F. J. Hickernell and Lluis Antoni Jimenez Rugama, \"Reliable adaptive cubature using digital sequences,\" Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (R. Cools and D. Nuyens, eds.), Springer Proceedings in Mathematics and Statistics, vol. 163, Springer-Verlag, Berlin, 2016, arXiv:1410.8615 [math.NA], pp. 367-383.\n", - "\n", - "1. M. Hofert and C. Lemieux (2019). qrng: (Randomized) Quasi-Random Number Generators. R package version 0.0-7. `https://CRAN.R-project.org/package=qrng`.\n", - "\n", - "1. Ll. A. Jimenez Rugama and F. J. Hickernell, \"Adaptive multidimensional integration based on rank-1 lattices,\" Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (R. Cools and D. Nuyens, eds.), Springer Proceedings in Mathematics and Statistics, vol. 163, Springer-Verlag, Berlin, 2016, arXiv:1411.1966, pp. 407-422.\n", - "\n", - "1. B. D. Keister, Multidimensional Quadrature Algorithms, 'Computers in Physics', *10*, pp. 119-122, 1996.\n", - "\n", - "1. F. Y. Kuo and D. Nuyens. \"Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients - a survey of analysis and implementation,\" Foundations of Computational Mathematics, 16(6):1631-1696, 2016. ([springer link](https://link.springer.com/article/10.1007/s10208-016-9329-5), [arxiv link](https://arxiv.org/abs/1606.06613))\n", - "\n", - "1. P. L’Ecuyer and D. Munger, \"LatticeBuilder: A General Software Tool for Constructing Rank-1 Lattice Rules,\" ACM Transactions on Mathematical Software. *42* (2015). 10.1145/2754929.\n", - "\n", - "1. Y. Li, L. Kang, L., and F. J. Hickernell, Is a Transformed Low Discrepancy Design Also Low Discrepancy? in Contemporary Experimental Design, Multivariate Analysis and Data Mining, Festschrift in Honour of Professor Kai-Tai Fang (J. Fan and J. Pan, eds.), p. 69–92, 2020, https://arxiv.org/abs/2004.09887.\n", - "\n", - "1. A. B. Owen, \"A randomized Halton algorithm in R,\" 2017. arXiv:1706.02808 [stat.CO]\n", - "\n" - ] + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "0xwyIP8iF1oa" + }, + "source": [ + "[QMCPy]: https://qmcsoftware.github.io/QMCSoftware/ \"Choi, S.-C. T., Hickernell, F. J., McCourt, M. & Sorokin, A. A quasi-Monte Carlo Python Library. https://qmcsoftware.github.io/QMCSoftware/. 2020.\"\n", + "\n", + "[GAIL]: http://gailgithub.github.io/GAIL_Dev/ \"Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell, Lan Jiang, Lluis Antoni Jimenez Rugama, Da Li, Jagadeeswaran Rathinavel, Xin Tong, Kan Zhang, Yizhi Zhang, and Xuan Zhou, GAIL: Guaranteed Automatic Integration Library (Version 2.3.1) [MATLAB Software], 2020. Available from `http://gailgithub.github.io/GAIL_Dev/`\"\n", + "\n", + "[NumPy]: https://pypi.org/project/numpy/ \"Oliphant, T. Guide to NumPy https://ecs.wgtn.ac.nz/foswiki/pub/Support/ManualPagesAndDocumentation/numpybook.pdf (TrelgolPublishing USA, 2006).\"\n", + "\n", + "[Scipy]: https://pypi.org/project/scipy/ \"Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E.A. Quintero, Charles R Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. (2020) SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, in press.\"\n", + "\n", + "[QRNG]: https://CRAN.R-project.org/package=qrng \"Marius Hofert and Christiane Lemieux (2019). qrng: (Randomized) Quasi-Random Number Generators. R package version 0.0-7. `https://CRAN.R-project.org/package=qrng`.\"\n", + "\n", + "[OwenHalton]: https://arxiv.org/abs/1706.02808 \"Owen, A. B. 'A randomized Halton algorithm in R,' 2017. arXiv:1706.02808 [stat.CO]\"\n", + "\n", + "[MPS]: https://people.cs.kuleuven.be/~dirk.nuyens/qmc-generators/ \"F. Y. Kuo and D. Nuyens. 'Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients - a survey of analysis and implementation,' Foundations of Computational Mathematics, 16(6):1631-1696, 2016. ([springer link](https://link.springer.com/article/10.1007/s10208-016-9329-5), [arxiv link](https://arxiv.org/abs/1606.06613))\"\n", + "\n", + "[CubMCML]: https://pubsonline.informs.org/doi/abs/10.1287/opre.1070.0496 \"Giles, M. Multilevel Monte Carlo Path Simulation. Operations Research 56,607–617 (June 2008).\"\n", + "\n", + "[CubQMCML]: https://www.semanticscholar.org/paper/Multilevel-quasi-Monte-Carlo-path-simulation-Giles-Waterhouse/25a9ca3aa216aa371d1be06fa9b93927187ee4ca \"Giles, M. B. & Waterhouse, B. J. Multilevel quasi-Monte Carlo path simulation. Advanced Financial Modelling, Radon Series on Computational and Applied Mathematics 8,165–181 (2009).\"\n", + "\n", + "[GilesSoftware]: http://people.maths.ox.ac.uk/~gilesm/mlmc/\n", + "\n", + "[PyTorch]: https://pytorch.org\n", + "\n", + "[LatticeBuilder]: http://simul.iro.umontreal.ca/latbuilder/ \"L’Ecuyer, Pierre & Munger, David. (2015). LatticeBuilder: A General Software Tool for Constructing Rank-1 Lattice Rules. ACM Transactions on Mathematical Software. 42. 10.1145/2754929.\"\n", + "\n", + "# Quasi-Monte Carlo (QMC) Software in QMCPy\n", + "\n", + "A tutorial based on this notebook is at https://media.ed.ac.uk/playlist/dedicated/51612401/1_0z0wec2z/1_2k12mwiw.\n", + "\n", + "As an example of available QMC software, we introduce the Python library [QMCPy][QMCPy]. This Jupyter notebook saves your typing. \n", + "\n", + "QMCPy is a community effort. This early release includes contributions from\n", + "\n", + "* Mike Giles [MLMC][CubMCML] and [MLQMC][CubQMCML] [software][GilesSoftware]\n", + "* Marius Hofert and Christiane Lemieux's [QRNG][QRNG]\n", + "* Pierre L'Ecuyer's [Lattice Builder][LatticeBuilder]\n", + "* Dirk Nuyens's [Magic Point Shop (MPS)][MPS]\n", + "* Art Owen's [Halton sequences][OwenHalton]\n", + "* [PyTorch][PyTorch]\n", + "* Guaranteed Automatic Integration Library [(GAIL)][GAIL]\n", + "\n", + "and depends on the [NumPy][NumPy] and [SciPy][SciPy] Python packages.\n", + "\n", + "View the companion pdf slides at https://speakerdeck.com/fjhickernell/quasi-monte-carlo-software and the introductory QMCPy blog at https://qmcpy.wordpress.com." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + " !pip install -q torch\n", + "except:\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "EbOXiuCQVs46" + }, + "source": [ + "\n", + "\n", + "## Installation\n", + "QMCPy can be installed with ``pip install qmcpy`` or cloned from the [QMCSoftware GitHub repository](https://github.com/QMCSoftware/QMCSoftware). " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6Z9pGNDeWIBw", + "outputId": "481b6697-de4a-498b-ce14-18fe3926f839" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "QMCPy Version 1.6.3.2a\n" + ] + } + ], + "source": [ + "import qmcpy #we import the environment at the start to use it\n", + "import numpy as np #basic numerical routines in Python\n", + "import time #timing routines\n", + "import warnings #to suppress warnings when needed\n", + "import torch #only needed for PyTorch Sobol' backend\n", + "from torch.quasirandom import SobolEngine\n", + "from matplotlib import pyplot; #plotting\n", + "\n", + "pyplot.rc('font', size=16) #set defaults so that the plots are readable\n", + "pyplot.rc('axes', titlesize=16)\n", + "pyplot.rc('axes', labelsize=16)\n", + "pyplot.rc('xtick', labelsize=16)\n", + "pyplot.rc('ytick', labelsize=16)\n", + "pyplot.rc('legend', fontsize=16)\n", + "pyplot.rc('figure', titlesize=16)\n", + "\n", + "#a helpful plotting method to show increasing numbers of points\n", + "def plot_successive_points(distrib,ld_name,first_n=64,n_cols=1,pt_clr='bgkcmy',\n", + " xlim=[0,1],ylim=[0,1],coord1 = 0,coord2 = 1):\n", + " fig,ax = pyplot.subplots(nrows=1,ncols=n_cols,figsize=(5*n_cols,5.5))\n", + " if n_cols==1: ax = [ax]\n", + " last_n = first_n*(2**n_cols)\n", + " points = distrib.gen_samples(n=last_n)\n", + " for i in range(n_cols):\n", + " n = first_n\n", + " nstart = 0\n", + " for j in range(i+1):\n", + " n = first_n*(2**j)\n", + " ax[i].scatter(points[nstart:n,coord1],points[nstart:n,coord2],color=pt_clr[j])\n", + " nstart = n\n", + " ax[i].set_title('n = %d'%n)\n", + " ax[i].set_xlim(xlim); ax[i].set_xticks(xlim); ax[i].set_xlabel('$x_{i,%d}$'%(coord1+1))\n", + " ax[i].set_ylim(ylim); ax[i].set_yticks(ylim); ax[i].set_ylabel('$x_{i,%d}$'%(coord2+1))\n", + " ax[i].set_aspect((xlim[1]-xlim[0])/(ylim[1]-ylim[0]))\n", + " fig.suptitle('%s Points'%ld_name)\n", + "print('QMCPy Version',qmcpy.__version__)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "VuiiIKLQZW0G" + }, + "source": [ + "## Generating low discrepancy (LD) points via a ``DiscreteDistribution`` object\n", + "\n", + "We generate some points used for quasi-Monte Carlo methods. These points are called low discrepancy (LD for short) and are created as an instance of a ``DiscreteDistribution`` class." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bWz-RtrMHll7" + }, + "source": [ + "### Integration lattices\n", + "\n", + "Here are some (randomly shifted) integration lattice points. This is a two step procees: \n", + "\n", + "i) construct the ``DiscreteDistribution`` object ``lattice``, and then\n", + "\n", + "ii) construct a number of points from the sequence. \n", + "\n", + "The structure of these points favors ``n`` that is a power of 2." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 834 + }, + "id": "JhMZcYfOhchK", + "outputId": "90ac5112-0e25-4c18-99f6-494d9164fa85" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lattice (AbstractLDDiscreteDistribution)\n", + " d 2^(1)\n", + " replications 1\n", + " randomize SHIFT\n", + " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", + " order RADICAL INVERSE\n", + " n_limit 2^(20)\n", + " entropy 264030601762852985433978628854999910438\n", + "\n", + "LD Lattice Points with shape (16, 2)\n", + "[[0.14448802 0.23129441]\n", + " [0.64448802 0.73129441]\n", + " [0.39448802 0.98129441]\n", + " [0.89448802 0.48129441]\n", + " [0.26948802 0.60629441]\n", + " [0.76948802 0.10629441]\n", + " [0.51948802 0.35629441]\n", + " [0.01948802 0.85629441]\n", + " [0.20698802 0.91879441]\n", + " [0.70698802 0.41879441]\n", + " [0.45698802 0.66879441]\n", + " [0.95698802 0.16879441]\n", + " [0.33198802 0.29379441]\n", + " [0.83198802 0.79379441]\n", + " [0.58198802 0.04379441]\n", + " [0.08198802 0.54379441]]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } - ], - "metadata": { + ], + "source": [ + "lattice = qmcpy.Lattice(dimension=2) #define a discrete LD distribution based on an integration lattice\n", + "print(lattice) #print the properties of the lattice object\n", + "n = 16 #number of points to generate\n", + "points = lattice.gen_samples(n) #construct some points\n", + "print(f'\\nLD Lattice Points with shape {points.shape}\\n'+str(points)) #these points have 15 significant digit precision but only three digits are shown\n", + "plot_successive_points(lattice,'Lattice',n)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WztUPDqptYOp" + }, + "source": [ + "Rerunning the commands above yields a different sequence of points because these points are _randomly shifted_ modulo 1.\n", + "\n", + "We may also construct a subsequence of points in the middle of the sequence. Note that the points below match those above." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { "colab": { - "provenance": [], - "toc_visible": true - }, - "kernelspec": { - "display_name": "qmcpy", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.3" + "base_uri": "https://localhost:8080/" + }, + "id": "wTM9Mi5otlZF", + "outputId": "b1b5e967-e8cc-4f32-c3c3-307cacfb51fa" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LD Lattice Points with shape (12, 2) \n", + "[[0.26948802 0.60629441]\n", + " [0.76948802 0.10629441]\n", + " [0.51948802 0.35629441]\n", + " [0.01948802 0.85629441]\n", + " [0.20698802 0.91879441]\n", + " [0.70698802 0.41879441]\n", + " [0.45698802 0.66879441]\n", + " [0.95698802 0.16879441]\n", + " [0.33198802 0.29379441]\n", + " [0.83198802 0.79379441]\n", + " [0.58198802 0.04379441]\n", + " [0.08198802 0.54379441]]\n" + ] + } + ], + "source": [ + "more_points = lattice.gen_samples(n_min=4,n_max=n) #get more points\n", + "print('LD Lattice Points with shape',more_points.shape,'\\n'+str(more_points))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "aR5Z5rSMFBN9" + }, + "source": [ + "Each $d$-dimensional point is _one row_ in the array.\n", + "\n", + "As we increase the number of points, they fill $[0,1]^d$ evenly. The next points are placed in between the existing points. Here we illustrate with $d=2$." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 321 + }, + "id": "sEF-IqqeckC-", + "outputId": "991b6b14-442f-4b30-bb87-b8c4b6e3be5b" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_successive_points(lattice,'Lattice',n_cols=5)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "14UexIYSJr2r" + }, + "source": [ + "### IID uniform points do not fill space as well\n", + "\n", + "Contrast this with independent and identically distributed (IID) points. Although successive points fill the square, they do so without knowledge of the others and produce clusters and gaps. Think of it this way\n", + "\n", + "* LD = evenly spread\n", + "* IID = points do not know about each other\n", + "\n", + "(Since the first parameter in the ``DiscreteDistribution`` object is the dimension, you need not identify it.)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rWJEGbqPJ4Ap", + "outputId": "84fc821b-f4a9-4b27-895c-b5ee710f05c5" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", + " d 2^(1)\n", + " replications 1\n", + " entropy 151929946340103232908357805579611369175\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "iid = qmcpy.IIDStdUniform(2) #standard uniform IID random vector generator from NumPy\n", + "print(iid) #print the properties of iid\n", + "plot_successive_points(iid,'IID Uniform',n_cols=5)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "57P6amgaMV36" + }, + "source": [ + "### Rows and columns are _not_ interchangeable for LD\n", + "\n", + "For LD sequences we must differentiate between the cooordinates of the point (column) and which point (row). The transpose of an LD array is _not_ LD. This differs from IID multivariate points with IID marginals.\n", + "\n", + "In the example below we reverse the roles of the rows and columns. The transposed lattice points do not fill space at all, while the transposed IID points are as good as the originals." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 346 + }, + "id": "TluhjiIyM12p", + "outputId": "56834502-f203-4630-8755-d7f278b3f47f" + }, + "outputs": [ + { + "data": { + "image/png": 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PpvPOOy/bV2KYFfpGH6sWFSOLh2gDXOnXv/51uv/+++u+DvGDXR4fqbf3i0H7qimPyVAOCiEuTcePfrxWteYFMTBfuT/P6n4E4mD405/+dNb+Oc7YRbOJEGNcxLRly5Z1vVZfRD+dEM8pf/bdxVnNZ555JjXrdo9xTsKq2uL3ZZlqonlBiP4I0XdqdeLHPa5E/eY3v8nWuVHK+15vyV0chISxY8cO6MxnXw30c+/L9w9ahZjXnjGvP2J8rYhB0dztmGOOqdv71HK7NSJ+RDyLZKrcYkT86B+JVYsqt6GOS7jdO2vGFzrOQvT3IG11xQZ+8pOfVB0Q8Oqrr+412IVoNnHppZf2mDZ79ux0xRVXZF/uOPvX/crHQQcdlDWV+NSnPpX1aymLAVePOuqo7KxcNAGJW9k3vvGNbFDJSnEFpXwWs/v6nXHGGdl9tJ8vr3938f7RrOL666/vmhYH19GG/bnnnsvOCHYfUDLOYh533HGpmbd7+SzpqhKZvixTTfRnio7MsX/EfeW2iHWKIFwWQe+0007LPucYDDjaf1frT/GLX/wi3Xnnnalepk2blu2Dcebuxz/+cY95se3jzHio97bdcssts+D4xBNPVD2AyfP9g1Yh5rVnzOuLuDoU+8DXv/717HEUN6nnb+JAt1s9rC5uxxWpagVdIt5Ec8AgfvSPpoAtKi71xxmRCy64IKs6Ez+A0Wk3mibE6OtxwBo/8LUQl/ujk2O5g2yctYsg9tBDD2Vf2DgoLFfLqXbwethhh2VteWPE9mh6FT/g5eBQWVEngmYEh1gmmjHE2Z4IRvF3Rcfa6Cx60UUX9XhOBI3ooBltqiP4xnrGWatytaT4wY31LosiBtFe/wtf+ELWpORNb3pT2n777bNmH/EecQbqySefzNqod29OEGci42xjBM2oCrTvvvtmI69HAhB/R1yFueOOOwbcLjw6RvcmKu6deuqpA97ucWZqgw02yJKIWO/YFkOGDEljxozJgm2I9vfRYfv444/P2u1HsYZoPhIjtq8uOMTzDjjggCwRiteO5eNMafx4x34Sn2v3vgXRjCYODCIQRgCP0epjO8S2i+fEGbQ4G3r++eev8nPJI/pHxP4W1ZKiqc83v/nNbB+K/T3aoMf6Rl+tejYpKSeasR/GwVckqbF9ol18+P73v5/r+wetQsxrrZg3EPE5lau4RnL97LPPdiWT8XsdJ6kiqTr44IPrvi4D2W71EH2K4yrqrFmz0v/+7/9m+2pcTYvtHLfvfe97WWIc6xNN3qMIRqxf9BuMEwcTJkyo2rSWVahByXYaNKbHqsYcKg/sF+NsxIjoMWZCjAh//PHHl5YuXdrr2AarG/OgPBZPLFcWAySeffbZ2XgIMZr4+uuvn43kHWNpfO5znys98sgjvY7JEGP0xBgZ5VG+Y0yMsWPHrjQAXnfLly8vnXXWWdmAqvFe8be99a1vLZ188slVx+2IAQFjELwdd9wxGwclRp6P949B+mKsjWpjl4QYqPGoo47KPrd4j3ivN77xjdngrrNmzSotWrRopefE+BVHHHFE6fWvf302gGwsf8IJJ2Tr3JdxoFY1MOaqbt23x0C2e4jxL/bbb7/Spptumo3BUfm64YILLsjGfIrPovze3V9rVYMovvTSS6Xzzz8/276bbLJJ9vnEwJMxDlQM4FlNjPHx4Q9/ONtesd1iEN+3vOUt2Vgw3//+9/s8TsvqBghelTvvvLM0ZcqU0lZbbZWNV7L55puX3ve+9600MHBfx7Gq/Ez7Ml7VkiVLSp/61KdKW2+9dTZAZPfPeSDfP2g2Yp6Yl3ccq+63WJcY8HjnnXcuffSjHy1ddNFFPQYx7o/VDRBcq+3W/W9c1f5Tzar249jmY8aMyeJnjK3V/bv0s5/9rPSZz3ymNHr06NKWW27ZFZfHjRtXuvDCC0t///vf+/U3Uyp1xD+pycUZoLgE/atf/Sq7Pfzww1lToNNPPz0rc0rxRBnWOOsXHXlXVUIXoFmJTfSVmAftoRBNAaO5T1ymBoBmITYBULjiFdHuMzpCRnvUOCNYLm0KAI0iNgFQuCtWn/jEJ+o+wCYA9IfYBEDhEitaz6oGFQSAViLmQXtweg0AACAniRUAAEBObdEUMEYE7z4qeAwc99e//jVtvvnm2QCnAAyeGOVj2bJl2SDR7dwvSWwCaK241BaJ1VlnnZWNPA1A81iwYEEaMWJEaldiE0BrxaW2SKxOOumkdOyxx3Y9fvbZZ9PWW2+dfXgbbbRRQ9cNejNvXkrvf//ql/vZz1IaO3Yw1ghqY+nSpWnkyJFp6NChqZ2JTQCtFZfaIrFaZ511slulCFyCF81q6dK+L2c3pojavbmb2ATQWnGpfRu3Q5MbNqy2ywEAUD8SK2hS0bwvmvn2dvIkpo8cqRkgAEAzkFhBE1ixIqW5c1O65JLO+3g8ZEhKM2d2zq9MrsqPZ8zoXA4AgMYqRB+re++9N332s5/tevzYY49l99/97nfTz6Ln/v+58sor0zDtoiiY2bNTit37qademxZXqiKpmjSpc/60aSktXNhzfiRVMR9oDLEJgMIlVlGp46677lpp+sKFC7NbWffxQKAIjj8+pa9/feXpsVtPmdKZVEXyNHFiZ5XAxYs7+1RF8z9XqqCxxCYAuusoxYhYbRgMN95446y0rcpLNMrll6d08MGrXib6UM2fL4mitfgNrs7nAlDs3199rKABog9VtxZEvVqwoPNKFQAAza0QTQGh1USy9PTTfVs2mv8B1PNEj6bGAPlJrKAB+pMs6fMO1MucOdWL45SL5wDQd5oCQgP0NVnackvjVAH1S6qiSE73pCosWtQ5PeYD0HcSK2jg4L+rc955muQA9Wn+F1eqqpWvKk+bPr1zOQD6RmIFDVAe/Ldy4N/uvvjFzrPGALUWfaoqr1RVJleK5wD0j8QKGqQ8+G/llato/nfZZSmdc06j1gxodX3t56l4DkDfKV4BDWTwX6CZ+3kqngPQdxIraLBIosaNa/RaAO3YzzMKVVTrZxXNlGO+4jkAfacpIAC0aT/PUNnXs/x4xgxXzwH6Q2IFAG3cz3P48J7T40pVTDeOFUD/aAoIAG1KP0+A2pFYAUAb088ToDY0BQQAAMjJFSvIYcUKTWgAAJBYwYDNmZPStGkpLVzYs9N3VNrS6RsAoL1oCggDTKqmTOmZVIUYEyamx3wAANqHxAoG0PwvrlRVG1SzPG369M7lAABoDxIr6KfoU1V5paoyuVqwoHM5AADag8QK+ikKVdRyOQAAik9iBf0U1f9quRwAAMWnKiD0U5RUj+p/UaiiWj+rjo7O+bEcAECZYVpamytW0E/xAxgl1ctJVHflxzNm+KEEAF4TFYNHjUpp/PiUpk7tvI/HKgm3DokVDECMUzV7dkrDh/ecHleqYrpxrACAMsO0tAdNAWGAInmaONElfQBg4MO0RGuXGKYljikcQxSbxApyiB/AceMavRYAQCsM0+KYotg0BQQAgDoxTEv7kFgBAECdGKalfUisAACgzsO0VFYSLovpI0capqUVSKwAAKBODNPSPiRWAABQR4ZpaQ+qAgIAQJ0ZpqX1Saxo2zEl/LABAIPJMC2tTWJF24nRzWOgvu5jSsSl+Gj/7FI8AAADoY8VbeXyy1OaPHnlgfoWLUppypTOpAsAAPpLYkXbiM6hhx3W+6jnYfr0zmaCAAAMnhUrUpo7N6VLLum8L+LxmMSKthBXog46aNVf0kiuFizo7HsFAMDgHaeNGpXS+PEpTZ3aeR+Pi9aSSGJFy4tkKvpU9VUUtAAAoP7mzOnsjtEK3TQkVrS8uAJV+WVdlagSCADA4Jz8Lv1fl4yid9OQWNHy+nMFauTIztLrAAA09uR3qWDdNCRWtLz+XIGaMcN4VgAAzXTye3FBumkYx4qWH/x3n306x6mKtrrVLjWHSKaiCo1xrAAAmuvk97CCdNNwxYqWryqz3XavlVnv6Kj+vEsv7awaCADA4Bg7tvPkd2/HZzG9SN00JFa0RVWZb3wjpeOOS2n48J7z4st6xRWdzwMAYPAMGZLSzJmd/69MrsqPi9RNQ1NA2qKqTHw546rUY4+ldPvtrzUTjDMgRfmyAgC0mkmTUpo9u/M4rvvJ8biSFUlVkbppSKxoq6oykVSNGzeYawYAwKpE8jRxYs8+8kU8+S2xoiUKVURzvlaqKgMA0E6GDCn+yW+JFYXuU1V52bhVqsoAAFAsEisKXaiit/LplaKPVbTVLUpVGQAAikVVQFqqUEU1RawqAwBAsUisaLlCFZXiSlVUmylSVRkAAIpFU0AKp68FKI4+OqXJk4tZVQYAgGKRWFE4fS1AEUlV0avLAABQDJoCUjhxBSqa91WO0F0W00eOVKgCAIDBI7GicKJZ38yZnf+vTK4UqgAAoBEkVhRSFKKIghTDh/ecrlAFAACNoI8VhRXJ08SJnVUCo6BF9L1SqAIAgEaQWFFokUQpUAEAQKNpCggAAJCTxAoAACAniRUAAEBOEisAAICcFK8AAGgBK1aolAuNJLECACi4OXNSmjYtpYULe47tOHOmsR1hsGgKCABQ8KRqypSeSVVYtKhzeswH6k9iBQBQ4OZ/caWqVFp5Xnna9OmdywH1JbECACio6FNVeaWqMrlasKBzOaC+JFYAAAUVhSpquRwwcBIrAICCiup/tVwOGDhVAQEACipKqkf1vyhUUa2fVUdH5/xYrt6Ue6fduWIFAFBQkbhESfVyEtVd+fGMGfVPcKLy4KhRKY0fn9LUqZ338VhFQtqJxAoAoMBinKrZs1MaPrzn9LhSFdPrPY6Vcu/QSVNAAICCi+Rp4sTBb4q3unLvcdUsyr3HumkWSKuTWAEAtIBIXMaNa95y74O9bjDYNAUEAGBAlHuH10isAAAYEOXe4TUSKwAAcpV7r6xIWBbTR44cnHLv0GgSKwAACl3uHZqBxAoAgMKWe4dmoSogAACFLPcOzURiBQBAIcu9QzPRFBAAACAniRUAAEBOEisAAICcJFYAAAA5SawAAAByklgBAADkJLECAADISWIFAACQk8QKAAAgJ4kVAABAThIrAACAnCRWAAAAOUmsAAAAcpJYAQAA5CSxAgAAyEliBQAAkJPECgAAICeJFQAAQE4SKwAAgJwkVgAAADlJrAAAAHKSWAEAAOQksQIAAMhJYgUAAJCTxAoAACAniRUAAEBOEisAAICcJFYAAAA5SawAAAByklgBAADkJLECAADISWIFAACQk8QKAAAgJ4kVAABAThIrAACAnCRWAAAAOa2Z9wWovxUrUpo3L6XFi1MaNiylsWNTGjKk0WsFAACUSaya3Jw5KU2bltLCha9NGzEipZkzU5o0qZFrBgAAlGkK2ORJ1ZQpPZOqsGhR5/SYDwAANJ7Eqomb/8WVqlJp5XnladOndy4HAAA0lsSqSUWfqsorVZXJ1YIFncsBAACNJbFqUlGoopbLAQAA9SOxalJR/a+WywEAAPUjsWpSUVI9qv91dFSfH9NHjuxcDgAAaCyJVZOKcaqipHqoTK7Kj2fMMJ4VAAA0A4lVE4txqmbPTmn48J7T40pWTDeOFQAANAcDBDe5SJ4mTuys/heFKqJPVTT/c6UKAACah8SqACKJGjeu0WsBAAD0RlNAAACAnCRWAAAAOUmsAAAAcpJYAQAA5CSxAgAAyEliBQAAkJPECgAAICeJFQAAQE4SKwAAgJwkVgAAADmtmfcFeM2KFSnNm5fS4sUpDRuW0tixKQ0Z0ui1AgCgFTn2bC4SqxqZMyeladNSWrjwtWkjRqQ0c2ZKkyY1cs0AAGg1jj2bj6aANdqxp0zpuWOHRYs6p8d8AACoBceezUliVYNLsHG2oFRaeV552vTpncsBAEAejj2bl8Qqp2jXWnm2oHIHX7CgczkAAMjDsWfzkljlFJ0Fa7kcAAD0xrFn85JY5RQVWGq5HAAA9MaxZ/OSWOUUZS2jAktHR/X5MX3kyM7lAAAgD8eezUtilVOMFRBlLUPlDl5+PGOGMQUAgOYSxQ3mzk3pkks67xU7KAbHns1LYlUDMVbA7NkpDR/ec3qcTYjpxhIAAJpJlOMeNSql8eNTmjq18z4eK9NdDI49m1NHqVStWGNrW7p0adp4443Ts88+mzbaaKOava7RrwEa9xtcdD4XBnsMpMojwPLVDgfmxeHYs7l+f9cc6BMfffTR9OY3v3nAb9yKYkceN67RawHQvsQmyDcGUiRXMQbSxIkO0IvAsWeLNAXcfvvt0z333JP9/4QTTkiXXnppeuSRR1IbXgADoEmITbBqxkCC+hnwFat58+alUdEYN6X005/+NP3rv/5rFrjWW2+9tOOOO6bRo0enXXfdNbvfeeed07rrrlvL9QaAlYhNsGrGQIImTKzGjBnT9f84G/j888+nBx98MN13333p/vvvT/fee2+68MIL04svvpiGDBmSBbTJkyen448/Pq299tqpmWmvClBMrRyboBaMgQRNmFhVWn/99dPee++d3cpeffXVLLBFMLvlllvS17/+9fTnP/85nXfeeamZO3RG2+Pul8mjwkqUtdSRE6BYWiU2Qa3HQFq0qHo/q+hjFfONgQRNXhUw2rp//vOfT08++WRqxsofquQAtF/1u2aPTVBr5eOd0P2Yx/EO7WppjX5/1xjsJhrvfve7UxGr5ISokmPwPIDW0syxCerBGEhQH8ax+r+sNEYcj8HxVuemm5S1BMjDlZnqfC4MNn3KoUnGsWo1quQAAO3EGEhQW3VvCvjVr341XXDBBVkFpmamSg5A+yhKbAKgOOreFHCNNTpzty233DIde+yx2YCNzXi5Ly6Hx9Anq6uSM3++y+QARW/yVpTYBED9FaYp4Pz589Py5cvT7bffnm699dbUrCJZipLqUSUnkqhqVXJmzJBUAbSCosQmAIpD8YqKrLTaOFYjR3YmVarkAOTnykx1PheAxijMFauiieRp4kRVcgAAgEEsXvHUU0+lBx54ID333HNV5y9btiwb2b6IVXIOO6zzXlIFUCytGJsAaNHE6pVXXklHHnlk2mqrrdJuu+2WdQCePn16euGFF3os95vf/CaN78sAUQCQk9gEQOESq1mzZqWf/OQnWcna//7v/84CV5Su3WeffdJf/vKX2q4lAPSB2ARA4RKrH/zgB+nUU09Np5xyStp///3TWWedle6+++6sylIEsN///ve1XVMAWA2xCYDCJVZRqjaCVHdve9vb0h133JE222yzNGbMmHTvvffWYh0BoE/EJgAKl1htscUWVZtVbL755ummm25Kb3/727P26zfeeGPedQSAPhGbAChcYrX77runq666quq8DTfcMF177bVpwoQJ6Utf+lKe9QOAPhObAChcYjV16tSsycWSJUuqzl977bXTFVdckY466qi09dZb51lHAOgTsQmARukolUqlvi4coxHHqMRFZ3R7gNb5DRabAGiG399+XbGKdum9nQUEgEYQmwBoBv1KrO6///70jne8Iz3xxBOrXfbll1/Os14A0CdiEwCFS6yOP/749PDDD6exY8emxx9/vNflYnDGHXbYoRbrBwCrJDYBULjE6uyzz05f+9rX0mOPPZYFsEcffbTH/DvvvDMbPyQ6D//xj3+s9boCwErEJgAKWRXwpJNOSueee25auHBh1vTioYceygLVIYcckg28GAEsKi1deOGF9VljAKggNgHQaGsO5Emf+cxnsooZRx55ZHZ28KWXXspuMar9ySefnI4++uispC0ADBaxCYDCJVavvvpqWr58eRo6dGj629/+ljo6OtKhhx6azj///JYoeQtA8YhNABSqKeCVV16Zdtxxx+zMYASuaLcefv7zn2eDMgLAYBObAChUYhWBasqUKemRRx5Jo0ePTjfddFO69dZb0/e///0skE2YMCHddttt9VtbAKggNgFQuMQqOv8OHz486/x7zz33pHe+853Z9GjPfvHFF2dNMN7znvekG264oV7rCwA9iE0AFC6xOv3009Pvfve7dPjhh68076CDDsqaYkQb9w984APZ/wGg3sQmAJpBR6lUKtXyBW+++eZ04IEHdlVjakZLly7NOjI/++yzWQUpAFr7N1hsAqDev7/9Ll6xOtEEIzoLR1UmAGgGYhMA9VbzxCrstddeae7cufV4aQAYELEJgMIlViHK3gJAMxGbAGiqAYIBaC0rVqQ0b15KixenNGxYSmPHpjRkSKPXCgCKQ2IF0ObmzElp2rSUFi58bdqIESnNnJnSpEmNXDMAKI66NQUEoBhJ1ZQpPZOqsGhR5/SYD7TulerodnjJJZ338RgYOIkVQJuKg6i4UlVt0I3ytOnTHWxBK4qTJqNGpTR+fEpTp3bex2MnU2DgJFYAbSr6VFVeqapMrhYs6FwOaB2zZ6c0ebIr1VBrEiuANhWFKmq5HND8Lr88pUMPrT7PlWrIR2IF0Kai+l8tlwOaW1yJOvjgVSdNrlTDwEmsANpUlFSP6n8dHdXnx/SRIzuXA1qjT2VfuVIN/SexAmhTMU5VlFQPlclV+fGMGcazgnboU1nJlWroP4kVQBuLcaqiI/vw4T2nx5WsmG4cK2gN/bkC5Uo1DIwBggFauOlPnKWOA6o4+xwHStWuPkXyNHFi35YFiqk/V6BcqYaBkVgBtGgn9ehP0b3pT1yFiqZ/1a5CxUHUuHGDuopAA/pURkn1amPXlX8HLr3UlWoYKE0BAVowqYqxaIxRA/SlT2XZJZd0/kYAAyOxAmjByl/VzkgbowbaW299KqNP1RVXpHTQQY1aM2gNmgICtFHlr+5j1Gj6B+1Hn0qoH4kVQBtW/jJGDbQvfSqhPjQFBGjDyl/GqAGA2pJYAbRg5a/eOqfHdGPUAEDtSawA2qTyV/mxMWoAoPYkVgBtUvkrrmTFdGPUAEDtKV4B0IJU/gKAwSWxAmhRKn8BwODRFBAAACAniRUAAEBOEisAAICc9LECAIAmtWKFQkRFIbECAIAmNGdOStOmpbRwYc+hM2K8QkNnNB9NAQEAoMlEUjVlSs+kKixa1Dk95tNcJFYAANBkzf/iSlWptPK88rTp0zuXo3lIrACgQOJAau7clC65pPPegRW0nuhTVXmlqjK5WrCgczmahz5WAFAQ+ltAe4hCFbVcjsHhihUAFID+FtA+ovpfLZdjcEisAKDJ6W8B7SVKqsfV6I6O6vNj+siRncvRPCRWANDk9LeA9hLjVEUT31CZXJUfz5hhPKtm658qsQKAJqe/BbSf6Dc5e3ZKw4f3nB5XsmK6fpV9F02lR41Kafz4lKZO7byPx7VuQq14BQA0Of0toD1F8jRxYufV6DhxEt/xaP7nSlX/+6dWNqUu90+NJHW//VJNSKwAoCD9LeJAoFo/q2gaFPP1t4DWE0nUuHGNXovW7J/a0dHZP/WBB2rzfpoCAkCT098CoH79U2+/PdWExAoACkB/C4D+6Wu/0yeeSDWhKSAAFEQz9reIpjbNtD4A/e13utVWqSYkVgBQIM3U3yI6hUf/he5NbeIKWjRbdAUNKEr/1H32qc37aQoIAAy40lZl/4Vypa1alzEGaPb+qRIrAKCmlbZCVNqqxwCcAM3aP1VTQACgLpW2YrlmabYItK9Jg9Q/VWIFANSl0lZflwNohf6pEisAoC6Vtvq6HEArVC3VxwoAGFClrcrO4GUxfeTIzuUAGiEK6IwaldL48SlNndp5H4/rWVhHYgUANHWlLYAiVC2VWAEATV1pC6AIVUv1sQIAmrrSFkARqpZKrACApq60BVCEqqWaAgIAAC1hWAOrlkqsAACAljC2gVVLJVYAAEBLGNLAqqUSKwAAoGVMalDVUsUrAJpw9HYAoFhVSyVWAKsRAwnGmBjdy7fGWa9oamCsHgBoToNdtVRTQIAmHL0dACgWiRVAE47eDgAUi8QKoAajtwMA7U1iBdCEo7cDAMUisQJowtHbAYBikVgBNOHo7QBAsUisAJpw9HYAoFgkVgBNOHo7AFAsBggGaMLR2wGAYpFYATTh6O0AQLFoCggAAJCTxAoAACAniRUAAEBOEisAAICcJFYAAAA5SawAAAByklgBAADkJLECAADISWIFAACQk8QKAAAgJ4kVAABAThIrAACAnCRWAAAAOUmsAAAAcpJYAQAA5LRm3hcAAKC4VqxIad68lBYvTmnYsJTGjk1pyJBGrxUUj8QKAKBNzZmT0rRpKS1c+Nq0ESNSmjkzpUmTGrlmUDyaAgIAtGlSNWVKz6QqLFrUOT3mA30nsQIAaMPmf3GlqlRaeV552vTpncsBfSOxAgBoM9GnqvJKVWVytWBB53JA3+hjBQDQZgUd4u+q5XKAxAoAoO0KOkSyWMvlAE0BAQDarqBDXIGLZLGjo/r8mD5yZOdyQN9IrAAA2qygQzRrjCtwoTK5Kj+eMaO1mj9CvUmsAADasKBDNGucPTul4cN7To8rWTG9VZo9wmDRxwoAoE0LOkTyNHFiaxfqgMEisQIAaOOCDpFEjRvX6LWA4tMUEABAQQcgJ4kVAICCDkBOEisAgP+joAMwUPpYAQB0o6ADMBASKwCACgo6AP2lKSAAAEBOEisAAICcJFYAAAA5SawAAAByklgBAADkJLECAADISWIFAACQk8QKAAAgJ4kVAABAThIrAACAnNbM+wIAlVasSGnevJQWL05p2LCUxo5NaciQRq8VAED9SKyAmpozJ6Vp01JauPC1aSNGpDRzZkqTJjVyzQAA6kdTQKCmSdWUKT2TqrBoUef0mA8A0IokVkDNmv/FlapSaeV55WnTp3cuBwDQaiRWQE1En6rKK1WVydWCBZ3LAQC0GokVUBNRqKKWywEAFInECqiJqP5Xy+UAAIpEYgXURJRUj+p/HR3V58f0kSM7lwMAaDUSK6AmYpyqKKkeKpOr8uMZM4xnBQC0JokVUDMxTtXs2SkNH95zelzJiunGsQIAWpUBgoGaiuRp4sTO6n9RqCL6VEXzP1eqAIBWJrECai6SqHHjGr0WAACDR1NAAACAnCRWAAAAOUmsAAAAcpJYAQAA5CSxAgAAyEliBQAAkJPECgAAICeJFQAAQE4SKwAAgJwkVgAAADlJrAAAAHKSWAEAAOQksQIAAMhJYgUAAJCTxAoAACAniRUAAEBOEisAAICcJFYAAAA5SawAAAByklgBAADkJLECAADISWIFAACQk8QKAAAgJ4kVAABAThIrAACAnCRWAAAAOUmsAAAA2imxuvzyy9O4cePSpptumjbYYIO0yy67pHPOOSe9/PLLjV41GFQrVqQ0d25Kl1zSeR+PgcYQmwAoVGI1ffr0dPDBB6fbbrst7bXXXmn//fdPjz/+eDrhhBPShAkT0gsvvNDoVYRBMWdOSqNGpTR+fEpTp3bex+OYDgwusQmAQiVWV111VZo5c2bacMMN01133ZWuu+66dMUVV6RHH3007bTTTunWW29Np556aqNXE+oukqcpU1JauLDn9EWLOqdLrmDwiE0AFC6xOvPMM7P7E088Me22225d07fYYot03nnnZf//9re/nZ599tmGrSPUWzT3mzYtpVJp5XnladOnaxYIg0VsAqBQidWiRYvS3Xffnf1/arR7qrDvvvumkSNHppdeeildc801DVhDGBzz5q18paoyuVqwoHM5oL7EJgAKl1jdd9992f1mm22Wtt1226rL7LHHHj2WhVa0eHFtlwMGTmwCoNKaqcnNnz8/u9966617XSbOCnZftlKcMYxbWblZxtKlS2u8tlA/G23U9+Xs2jSz8m9vqVq71oIQmwBax9IaxaWmT6yWLVuW3UcJ295Ex+FVBaOzzjorfeUrX+k16EEref/7G70G0DdLlixJG2+8cSoisQmg9SzJGZeaPrGqhZNOOikde+yxXY+feeaZtM0222QlcYsa1AGKKq7MxJWeaEbXzsQmgNaKS02fWA0dOjS7X758ea/LPPfcc9n9Rr20lVpnnXWyW6UIXL09B4D6WmONpu/m2yuxCaD1rJEzLjV9VBsVI5+mqHa2oNdlyvPKywJAPYlNABQusRo9enRXm8feOgDfc8892X33cUQAoF7EJgAKl1iNGDEi7bnnntn/L7744pXmx8j2cVYwmlMccMABfXrNWPa0006r2gQDgPpqhd9gsQmgdaxTo9/fjlIB6t1eddVV6UMf+lBWYenmm2/uOvsXZwrHjx+fHnroofSFL3whfeMb32j0qgLQJsQmAAqXWIVp06alWbNmpbXWWiu9613vykrc3njjjVkVpTFjxqQbbrghrbfeeo1eTQDaiNgEQOESq3DZZZelc889N91///3p5ZdfTtttt136yEc+ko455pi09tprN3r1AGhDYhMAhUusAAAAmlHTF6+otcsvvzyNGzcubbrpplmTjV122SWdc8452VlGAGrvt7/9bfrWt76VjjjiiLTTTjulNddcM3V0dKQzzjij0avWFMQlgNaITU0/QHAtTZ8+Pc2cOTP74CZMmJB1OP7FL36RTjjhhHT11Ven66+/Xlt4gBo7//zzs99eViYuAbRObFqjnao3xYcXQeuuu+5K1113XbriiivSo48+mmWpURr31FNPbfRqArScHXfcMR133HHpoosuSg8//HA6/PDDG71KTUFcAmit2NQ2V6zOPPPM7P7EE0/sMVjjFltskc4777w0duzY9O1vfzsLYhtvvHED1xSgtXziE5/o8XiNNdrmnN4qiUsArRWb2iK6LVq0KN19993Z/6dOnbrS/H333TeNHDkyvfTSS+maa65pwBoC0E7EJYDW0xaJ1X333Zfdb7bZZmnbbbetuswee+zRY1kAqBdxCaD1tEViNX/+/Ox+66237nWZODPYfVkAqBdxCaD1tEVitWzZsuw+ytj2JjoPh6VLlw7aegHQnsQlgNbTFokVAABAPbVFYjV06NDsfvny5b0u89xzz2X3G2200aCtFwDtSVwCaD1tkViNGjUqu1+wYEGvy5TnlZcFgHoRlwBaT1skVqNHj87ulyxZ0msn4HvuuSe77z6WCADUg7gE0HraIrEaMWJE2nPPPbP/X3zxxSvNj9Ht48zgOuuskw444IAGrCEA7URcAmg9bZFYhZNPPjm7P/vss9O9997bNT3OFn72s5/N/n/00Ucb3R6AQSEuAbSWjlKpVEptYtq0aWnWrFlprbXWSu9617uyMrc33nhjeuaZZ9KYMWPSDTfckNZbb71GryZAS4mkoZwohMceeyw9/fTT2VWb4cOHd02/8sor07Bhw1I7EZcAWic2tVViFS677LJ07rnnpvvvvz+9/PLLabvttksf+chH0jHHHJPWXnvtRq8eQMuZO3duGj9+/GqXi75G7VioQVwCaI3Y1HaJFQAAQK21TR8rAACAepFYAQAA5CSxAgAAyEliBQAAkJPECgAAICeJFQAAQE4SKwAAgJwkVgAAADlJrAAAAHKSWAEAAOQksQIAAMhJYgUNcMYZZ6SOjo609957V51/4oknZvN33XXX9Le//W3Q1w+A9iM2QT4dpVKplPM1gH564YUX0lve8pa0cOHCNHv27DR58uSueWeddVY6+eST0/bbb59uueWW9LrXva6h6wpAexCbIB9XrKAB1ltvvfS1r30t+/8pp5ySXnnllez/559/fha4tt1223TjjTcKXAAMGrEJ8pFYQYMcfvjhabfddku//e1v07//+7+niy66KH3uc59Lw4cPzwJX3Jf9/ve/T5/+9Kez5ddaa600atSoAb/vrbfemjXliPcFgO7EJhg4TQGhgebOnZvGjx+fNt1007Rs2bLsPppY7LDDDj2W++lPf5oFtr322ivNnz8/a9v+xz/+cUDv+eSTT2bPjdcCgEpiEwyMxAoabMyYMen2229PQ4cOzQJXdAqu9Oqrr6Y11ui8wBxnB6+99toBBy8AWB2xCfpPU0BooB/+8IfpjjvuyP7/0ksvpY022qjqcuXAVQtxxvGLX/xizV4PgNYiNsHASKygQS6//PL0yU9+Mm222WbpkEMOSX//+9/TCSecUNf3XL58eXr00UernnkEALEJBk5iBQ1wzTXXpA9/+MNpgw02SNddd136zne+kwWxKG8bTS/q5cEHH8yabowePbpu7wFAMYlNkI/ECgbZzTffnKZMmZLWXHPNdPXVV6fdd989bbLJJlkp23DsscfW7b3vu+++rJxujEMCAGViE+QnsYJB9Mtf/jIdeOCBacWKFWnOnDnpHe94R9e8o48+Om2zzTbprrvuSpdeemld3v/+++9PO+64YxoyZEhdXh+A4hGboDYkVjBIHnroofTe9743Pf/889m4IPvvv3+P+euss046/fTTs/+fdNJJWYfhegQvTS0AKBOboHYkVjBIdtppp7RkyZJsJPtobtHbwIwxAkKMBxLBrJbiTGQEUJ2DASgTm6B2JFZQAHEmMToPx+0Pf/hDj8d/+tOfupaL8UNi5Povf/nLK73GI488kl588UVnBQGoCbEJelqz4jHQhGJE+oMOOqjHtPLjGG/kiCOO6CpZG7baaquqTS1izJGdd955UNYZgNYmNkFPEisogFGjRmXNMFYnBnTcYost0kc/+tGV5s2bNy/rHLz++uvXaS0BaCdiE/SkKSC0kAhQxxxzTI8A9fjjj2eVnC6++OI0adKkhq4fAO1HbKJddJT6cqoBKKypU6em66+/Pk2ePDnNnDkzrbvuuo1eJQDanNhEK5JYAQAA5KQpIAAAQE4SKwAAgJwkVgAAADlJrAAAAHKSWAEAAOQksQIAAMhJYgUAAJCTxAoAACAniRUAAEBOEisAAICcJFYAAAApn/8P1MmFlD3SpXsAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "d = 16 #dimension\n", + "n = 2 #number of points\n", + "lattice = qmcpy.Lattice(d) #define a discrete LD distribution based on an integration lattice\n", + "lattice_pts = lattice.gen_samples(n) #the first parameter in the .gen_samples method is the number of points\n", + "iid = qmcpy.IIDStdUniform(d)\n", + "iid_pts = iid.gen_samples(n)\n", + "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(10,5.5))\n", + "ax[0].scatter(lattice_pts[0,0:d],lattice_pts[1,0:d],color='b')\n", + "ax[0].set_title('Transposed Lattice Points')\n", + "ax[1].scatter(iid_pts[0,0:d],iid_pts[1,0:d],color='b')\n", + "ax[1].set_title('Transposed IID Points')\n", + "for ii in range(2):\n", + " ax[ii].set_xlim([0,1]); ax[ii].set_xticks([0,1]); ax[ii].set_xlabel('$x_{1,j}$')\n", + " ax[ii].set_ylim([0,1]); ax[ii].set_yticks([0,1]); ax[ii].set_ylabel('$x_{2,j}$')\n", + " ax[ii].set_aspect(1)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5TUH0dtfICP8" + }, + "source": [ + "### Sobol' points\n", + "\n", + "Another LD sequence is the Sobol' points. Again, new points fill in the gaps between existing points. Since these are randomly digitally shifted Sobol' points, rerunning this command gives a different set of points. For Sobol' points as well, ``n`` should normally be a power of 2." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 753 + }, + "id": "iZN7mN98ktsR", + "outputId": "b20e7b2e-229e-4d5d-e271-345553f2eedb" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 2^(1)\n", + " replications 1\n", + " randomize LMS DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order RADICAL INVERSE\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 73208827127383995610457310988530317873\n", + "\n", + "LD Sobol' Points with shape (16, 2)\n", + "[[0.9431598 0.47365992]\n", + " [0.22125498 0.72515188]\n", + " [0.66129464 0.90348679]\n", + " [0.37738574 0.15491697]\n", + " [0.79964553 0.60309908]\n", + " [0.02104669 0.35362196]\n", + " [0.58028993 0.0173281 ]\n", + " [0.36467173 0.76778926]\n", + " [0.88650748 0.81477058]\n", + " [0.16853181 0.06430855]\n", + " [0.72964997 0.30712722]\n", + " [0.44965495 0.55660491]\n", + " [0.87190807 0.20193054]\n", + " [0.0894106 0.95049973]\n", + " [0.52754482 0.67862835]\n", + " [0.30804326 0.4271372 ]]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sobol = qmcpy.Sobol(2) #Sobol LD generator\n", + "print(sobol) #note below that the default is qrng from Hofert and Lemieux\n", + "points = sobol.gen_samples(16)\n", + "print(f'\\nLD Sobol\\' Points with shape {points.shape}\\n'+str(points))\n", + "plot_successive_points(sobol,'Sobol\\'',n_cols=5)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "urJl7sPxyAK1" + }, + "source": [ + "### Halton Points\n", + "\n", + "A third kind of LD sequence is Halton points, which are also randomized. Again, new points fill in the gaps between existing points. For Halton points there are no favored numbers of points." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 822 + }, + "id": "ibwyHF1yk6Lc", + "outputId": "6af17660-7aeb-4cc1-9e96-d6bc69390dbd" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Halton (AbstractLDDiscreteDistribution)\n", + " d 2^(1)\n", + " replications 1\n", + " randomize LMS DP\n", + " t 63\n", + " n_limit 2^(32)\n", + " entropy 240669245053839331683025566616811162761\n", + "\n", + "LD Halton Points with shape (20, 2)\n", + "[[0.44785589 0.67105156]\n", + " [0.81034548 0.6477606 ]\n", + " [0.01802002 0.17997437]\n", + " [0.72376384 0.96444929]\n", + " [0.31082674 0.49671198]\n", + " [0.94638376 0.02481055]\n", + " [0.22522047 0.82620954]\n", + " [0.51752374 0.3543589 ]\n", + " [0.40526643 0.33101523]\n", + " [0.85320912 0.7104405 ]\n", + " [0.06844815 0.57598763]\n", + " [0.67312161 0.21524872]\n", + " [0.35369039 0.89273277]\n", + " [0.90379429 0.53194055]\n", + " [0.17457824 0.06420577]\n", + " [0.56795187 0.86102595]\n", + " [0.49980629 0.39323972]\n", + " [0.75841033 0.25883637]\n", + " [0.03822453 0.74815281]\n", + " [0.70357459 0.60958533]]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "halton = qmcpy.Halton(2)\n", + "print(halton)\n", + "points = halton.gen_samples(20)\n", + "print(f'\\nLD Halton Points with shape {points.shape}\\n'+str(points))\n", + "plot_successive_points(halton,'Halton',n_cols=5,first_n=60)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bBtpvlYMZeaN" + }, + "source": [ + "### Timing\n", + "The time to generate LD points depends on several factors, including the hardware and the particular generator. One can generate one million points in 64 dimensions in a matter of seconds, somewhat slower than IID uniform points. You may replace the ``DiscreteDistribution`` object in the first line of code below to test the timings of other kinds of points. Halton seems to be the slowest (probably because the backend is implemented in Python rather than C)." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "d8zkb03zZ2gp", + "outputId": "20c2473e-3a2c-4f1a-e25b-2953a53d6ed8" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lattice (AbstractLDDiscreteDistribution)\n", + " d 2^(6)\n", + " replications 1\n", + " randomize SHIFT\n", + " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", + " order RADICAL INVERSE\n", + " n_limit 2^(20)\n", + " entropy 323672018533134169508871551556781883883\n", + "\n", + "LD Points with shape (1048576, 64)\n", + "[[4.84051442e-01 1.74980418e-01 6.35194475e-01 ... 7.14805235e-01\n", + " 1.59923415e-01 7.06555592e-02]\n", + " [9.84051442e-01 6.74980418e-01 1.35194475e-01 ... 2.14805235e-01\n", + " 6.59923415e-01 5.70655559e-01]\n", + " [7.34051442e-01 9.24980418e-01 3.85194475e-01 ... 9.64805235e-01\n", + " 9.09923415e-01 8.20655559e-01]\n", + " ...\n", + " [2.34050488e-01 2.50775592e-01 6.81364710e-01 ... 9.84270681e-01\n", + " 1.84181733e-02 2.36378406e-01]\n", + " [9.84050488e-01 5.00775592e-01 9.31364710e-01 ... 7.34270681e-01\n", + " 2.68418173e-01 4.86378406e-01]\n", + " [4.84050488e-01 7.75592029e-04 4.31364710e-01 ... 2.34270681e-01\n", + " 7.68418173e-01 9.86378406e-01]]\n", + "\n", + "Time to construct points is 1.7e-01 seconds\n" + ] + } + ], + "source": [ + "ld = qmcpy.Lattice(64) #define a discrete LD distribution\n", + "print(ld) #print the properties of the lattice object\n", + "start_time = time.time() #time now\n", + "points = ld.gen_samples(2**20) #construct some points\n", + "end_time = time.time() #time after points are constructed\n", + "print(f'\\nLD Points with shape {points.shape}\\n'+str(points))\n", + "print(f'\\nTime to construct points is %.1e seconds'%(end_time - start_time))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "MNY43r8NyMe9" + }, + "source": [ + "### Transform LD sequences to mimic other distributions via a ``TrueMeasure`` object\n", + "LD sequences mimic $\\mathcal{U}[0,1]^d$ by design. If you want to mimic another distribution, LD points can be transformed accordingly. This is done via a ``TrueMeasure`` object, which takes a ``DiscreteDistribution`` object as input. Choose the ``TrueMeasure`` according to the probability distribution that you wish to mimic, and input the LD ``DiscreteDistribution`` object that you wish to use." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Co5pxkVDvzsL" + }, + "source": [ + "#### Uniform on $[\\boldsymbol{a},\\boldsymbol{b}]$\n", + "An affine transformation can be used to turn $\\mathcal{U}[0,1]^d$ points into $\\mathcal{U}[\\boldsymbol{a},\\boldsymbol{b}]$ points. The ``TrueMeasure`` object ``qmcpy.Uniform`` performs the transformation automatically. Then we generate points as before, but now they mimic our new distribution." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "v-QmQjMJsSiQ", + "outputId": "e55239f3-8e87-4f9b-b927-ef2fe1c45f0e" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Uniform (AbstractTrueMeasure)\n", + " lower_bound [-2 2]\n", + " upper_bound [2 4]\n", + "\n", + "Uniform LD points with shape (256, 2)\n", + "[[ 1.63211619e+00 3.73527085e+00]\n", + " [-1.96458235e+00 2.76718358e+00]\n", + " [ 9.09260722e-01 2.10405185e+00]\n", + " [-7.49905356e-01 3.38671429e+00]\n", + " [ 1.09655014e+00 2.74751185e+00]\n", + " [-1.31071479e+00 3.77735132e+00]\n", + " [ 3.18856288e-01 3.10066974e+00]\n", + " [-2.58190328e-02 2.38125511e+00]\n", + " [ 1.85902575e+00 2.35110377e+00]\n", + " [-1.55013461e+00 3.13179771e+00]\n", + " [ 5.74189117e-01 3.99793234e+00]\n", + " [-7.72499888e-01 2.52790732e+00]\n", + " [ 1.38496040e+00 3.35363327e+00]\n", + " [-1.20972064e+00 2.13615638e+00]\n", + " [ 1.70346353e-01 2.98483491e+00]\n", + " [-4.86928113e-01 3.51664289e+00]\n", + " [ 1.59319338e+00 2.83569329e+00]\n", + " [-1.75352515e+00 3.67851923e+00]\n", + " [ 8.70309343e-01 3.45102593e+00]\n", + " [-5.38819580e-01 2.04362477e+00]\n", + " [ 1.18259209e+00 3.83803777e+00]\n", + " [-1.47465285e+00 2.68294084e+00]\n", + " [ 4.04926810e-01 2.43774730e+00]\n", + " [-1.89785667e-01 3.03241946e+00]\n", + " [ 1.92921095e+00 3.18830328e+00]\n", + " [-1.72992369e+00 2.28284011e+00]\n", + " [ 6.44406709e-01 2.58858045e+00]\n", + " [-9.52321360e-01 3.93337465e+00]\n", + " [ 1.33015606e+00 2.20048515e+00]\n", + " [-1.01455070e+00 3.29318905e+00]\n", + " [ 1.15509619e-01 3.58513540e+00]\n", + " [-2.91725784e-01 2.92810048e+00]\n", + " [ 1.69674328e+00 2.02283906e+00]\n", + " [-1.89601564e+00 3.49030058e+00]\n", + " [ 9.81610664e-01 3.63771572e+00]\n", + " [-6.73680637e-01 2.85592312e+00]\n", + " [ 1.04382486e+00 3.02634606e+00]\n", + " [-1.35944513e+00 2.49563675e+00]\n", + " [ 2.58530228e-01 2.62559582e+00]\n", + " [-8.23294418e-02 3.84563622e+00]\n", + " [ 1.78281433e+00 3.87505519e+00]\n", + " [-1.62246743e+00 2.59520034e+00]\n", + " [ 5.05639523e-01 2.27578809e+00]\n", + " [-8.37113668e-01 3.24521810e+00]\n", + " [ 1.44145742e+00 2.88827178e+00]\n", + " [-1.14941179e+00 3.60634367e+00]\n", + " [ 2.19059476e-01 3.27338160e+00]\n", + " [-4.34216234e-01 2.24073455e+00]\n", + " [ 1.51690842e+00 3.42208176e+00]\n", + " [-1.82581517e+00 2.07936273e+00]\n", + " [ 8.01804452e-01 2.79132255e+00]\n", + " [-6.03508819e-01 3.69837261e+00]\n", + " [ 1.23904058e+00 2.43523923e+00]\n", + " [-1.41426473e+00 3.09068726e+00]\n", + " [ 4.53717300e-01 3.78885312e+00]\n", + " [-1.37120398e-01 2.69407406e+00]\n", + " [ 1.99388680e+00 2.53843444e+00]\n", + " [-1.66143601e+00 3.94351623e+00]\n", + " [ 7.16679522e-01 3.18480345e+00]\n", + " [-8.76049791e-01 2.34014643e+00]\n", + " [ 1.27750410e+00 3.54175642e+00]\n", + " [-1.06332406e+00 2.94891535e+00]\n", + " [ 5.51386166e-02 2.17250235e+00]\n", + " [-3.48160972e-01 3.32991865e+00]\n", + " [ 1.68443108e+00 2.66428490e+00]\n", + " [-1.96890853e+00 3.82156387e+00]\n", + " [ 8.98955486e-01 3.04917923e+00]\n", + " [-6.91855546e-01 2.45623134e+00]\n", + " [ 1.08720775e+00 3.66175516e+00]\n", + " [-1.25561124e+00 2.81720496e+00]\n", + " [ 3.72134031e-01 2.06227642e+00]\n", + " [-3.30914651e-02 3.46749554e+00]\n", + " [ 1.83223923e+00 3.31185587e+00]\n", + " [-1.50856227e+00 2.21693948e+00]\n", + " [ 6.09782398e-01 2.91132119e+00]\n", + " [-7.93551486e-01 3.56666242e+00]\n", + " [ 1.42346943e+00 2.29961511e+00]\n", + " [-1.23176561e+00 3.20677197e+00]\n", + " [ 1.46475575e-01 3.91470354e+00]\n", + " [-4.46349142e-01 2.57212184e+00]\n", + " [ 1.59862091e+00 3.76507331e+00]\n", + " [-1.80474448e+00 2.73253306e+00]\n", + " [ 8.13112855e-01 2.39554271e+00]\n", + " [-5.27659039e-01 3.11375194e+00]\n", + " [ 1.12638706e+00 2.75289168e+00]\n", + " [-1.46640614e+00 3.72218437e+00]\n", + " [ 4.11345801e-01 3.39898800e+00]\n", + " [-2.43918834e-01 2.11902634e+00]\n", + " [ 1.88678700e+00 2.14844526e+00]\n", + " [-1.70399443e+00 3.36859247e+00]\n", + " [ 6.64358817e-01 3.50233576e+00]\n", + " [-9.89012298e-01 2.97176378e+00]\n", + " [ 1.35305252e+00 3.14610054e+00]\n", + " [-1.05220258e+00 2.36417062e+00]\n", + " [ 7.60300175e-02 2.51561415e+00]\n", + " [-2.66757468e-01 3.98296885e+00]\n", + " [ 1.73720513e+00 3.07783324e+00]\n", + " [-1.92001307e+00 2.42066099e+00]\n", + " [ 9.59692714e-01 2.70882325e+00]\n", + " [-6.35054132e-01 3.80142033e+00]\n", + " [ 1.02289814e+00 2.06461688e+00]\n", + " [-1.32373269e+00 3.40951789e+00]\n", + " [ 2.99983303e-01 3.71122997e+00]\n", + " [-1.09240950e-01 2.80590412e+00]\n", + " [ 1.77542454e+00 2.96178788e+00]\n", + " [-1.56931658e+00 3.55632271e+00]\n", + " [ 5.60869853e-01 3.31515758e+00]\n", + " [-8.46338810e-01 2.15995383e+00]\n", + " [ 1.49963234e+00 3.95828065e+00]\n", + " [-1.15959764e+00 2.55098630e+00]\n", + " [ 2.14614269e-01 2.32727723e+00]\n", + " [-3.82026098e-01 3.17024050e+00]\n", + " [ 1.54175770e+00 2.47744239e+00]\n", + " [-1.86541953e+00 3.00935717e+00]\n", + " [ 7.64277676e-01 3.86181997e+00]\n", + " [-5.80492975e-01 2.64448040e+00]\n", + " [ 1.20247642e+00 3.47412016e+00]\n", + " [-1.39419538e+00 2.00395782e+00]\n", + " [ 4.79529198e-01 2.87412082e+00]\n", + " [-1.79671249e-01 3.65470795e+00]\n", + " [ 1.93963436e+00 3.62455655e+00]\n", + " [-1.65514201e+00 2.90524872e+00]\n", + " [ 7.25051103e-01 2.22453890e+00]\n", + " [-9.32135663e-01 3.25451570e+00]\n", + " [ 1.28879166e+00 2.61139932e+00]\n", + " [-1.12040307e+00 3.89392442e+00]\n", + " [ 3.80216143e-03 3.22700857e+00]\n", + " [-3.42860104e-01 2.25881449e+00]\n", + " [ 1.64846946e+00 2.25745798e+00]\n", + " [-1.94236157e+00 3.22540792e+00]\n", + " [ 9.33914805e-01 3.90407310e+00]\n", + " [-7.19383823e-01 2.62179213e+00]\n", + " [ 1.12267729e+00 3.25998869e+00]\n", + " [-1.28264265e+00 2.22976775e+00]\n", + " [ 3.37659195e-01 2.89097689e+00]\n", + " [-5.07107836e-03 3.61052886e+00]\n", + " [ 1.86025008e+00 3.64141262e+00]\n", + " [-1.54305808e+00 2.86106964e+00]\n", + " [ 5.82737638e-01 2.01040743e+00]\n", + " [-7.58099114e-01 3.48032563e+00]\n", + " [ 1.39594306e+00 2.65365246e+00]\n", + " [-1.19677768e+00 3.87123616e+00]\n", + " [ 1.73028253e-01 3.00702416e+00]\n", + " [-4.82285964e-01 2.47486523e+00]\n", + " [ 1.56267932e+00 3.15718932e+00]\n", + " [-1.77818702e+00 2.31398191e+00]\n", + " [ 8.48096027e-01 2.55719177e+00]\n", + " [-5.55180645e-01 3.96473026e+00]\n", + " [ 1.16183658e+00 2.16937002e+00]\n", + " [-1.49344805e+00 3.32432963e+00]\n", + " [ 3.76847111e-01 3.55374555e+00]\n", + " [-2.15905118e-01 2.95945487e+00]\n", + " [ 1.91480262e+00 2.80430347e+00]\n", + " [-1.73846451e+00 3.70987346e+00]\n", + " [ 6.37322628e-01 3.41991071e+00]\n", + " [-9.53537988e-01 2.07476556e+00]\n", + " [ 1.32552137e+00 3.80664918e+00]\n", + " [-1.01724039e+00 2.71429624e+00]\n", + " [ 1.02574124e-01 2.40663330e+00]\n", + " [-3.02716229e-01 3.06356141e+00]\n", + " [ 1.70919046e+00 3.96891344e+00]\n", + " [-1.88551344e+00 2.50131460e+00]\n", + " [ 9.86733664e-01 2.36943290e+00]\n", + " [-6.70502686e-01 3.15160697e+00]\n", + " [ 1.05042069e+00 2.98213078e+00]\n", + " [-1.35871681e+00 3.51245863e+00]\n", + " [ 2.73426806e-01 3.36702716e+00]\n", + " [-7.33003155e-02 2.14712409e+00]\n", + " [ 1.81138234e+00 2.11648441e+00]\n", + " [-1.59585973e+00 3.39669021e+00]\n", + " [ 5.25906716e-01 3.73157487e+00]\n", + " [-8.18806722e-01 2.76203804e+00]\n", + " [ 1.46415899e+00 3.11999072e+00]\n", + " [-1.13256241e+00 2.40202564e+00]\n", + " [ 2.49085294e-01 2.71945429e+00]\n", + " [-4.10042667e-01 3.75175039e+00]\n", + " [ 1.51373826e+00 2.56982405e+00]\n", + " [-1.83094564e+00 3.91216161e+00]\n", + " [ 7.91310047e-01 3.21591834e+00]\n", + " [-6.15963474e-01 2.30900561e+00]\n", + " [ 1.23000375e+00 3.57314535e+00]\n", + " [-1.42915375e+00 2.91755998e+00]\n", + " [ 4.52981281e-01 2.20361656e+00]\n", + " [-1.43708670e-01 3.29877709e+00]\n", + " [ 1.97557215e+00 3.45319600e+00]\n", + " [-1.68169565e+00 2.04822102e+00]\n", + " [ 6.90064120e-01 2.82271138e+00]\n", + " [-9.04610239e-01 3.66701745e+00]\n", + " [ 1.25333832e+00 2.46635421e+00]\n", + " [-1.09335735e+00 3.05954623e+00]\n", + " [ 3.82970322e-02 3.82024270e+00]\n", + " [-3.70870007e-01 2.66271959e+00]\n", + " [ 1.65976941e+00 3.34321421e+00]\n", + " [-1.99942245e+00 2.18555377e+00]\n", + " [ 8.82594568e-01 2.94246598e+00]\n", + " [-7.14068659e-01 3.53555119e+00]\n", + " [ 1.06841247e+00 2.33097414e+00]\n", + " [-1.27636677e+00 3.17538702e+00]\n", + " [ 3.46014554e-01 3.94584901e+00]\n", + " [-6.11712500e-02 2.54101136e+00]\n", + " [ 1.82369833e+00 2.69543034e+00]\n", + " [-1.52297062e+00 3.79045353e+00]\n", + " [ 6.08565743e-01 3.08053835e+00]\n", + " [-8.00635651e-01 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2.19133855e+00]\n", + " [ 1.00800914e+00 3.92713610e+00]\n", + " [-1.33276944e+00 2.58209776e+00]\n", + " [ 2.93395118e-01 2.29591913e+00]\n", + " [-1.09976944e-01 3.20162644e+00]\n", + " [ 1.75516493e+00 3.04647510e+00]\n", + " [-1.58763115e+00 2.45204708e+00]\n", + " [ 5.32309489e-01 2.67767879e+00]\n", + " [-8.72954185e-01 3.83253158e+00]\n", + " [ 1.46959891e+00 2.03325752e+00]\n", + " [-1.18376362e+00 3.44090282e+00]\n", + " [ 1.91905028e-01 3.68008429e+00]\n", + " [-3.98867827e-01 2.83701422e+00]\n", + " [ 1.55225969e+00 3.53094266e+00]\n", + " [-1.85297249e+00 2.99889055e+00]\n", + " [ 7.67455475e-01 2.13065019e+00]\n", + " [-5.75370188e-01 3.34837122e+00]\n", + " [ 1.20320483e+00 2.51778422e+00]\n", + " [-1.38759952e+00 3.98756510e+00]\n", + " [ 4.88558359e-01 3.13311863e+00]\n", + " [-1.64774579e-01 2.35266884e+00]\n", + " [ 1.96624215e+00 2.38355266e+00]\n", + " [-1.62657397e+00 3.10321143e+00]\n", + " [ 7.43358081e-01 3.76820472e+00]\n", + " [-9.11868376e-01 2.73812111e+00]\n", + " [ 1.30564082e+00 3.38023160e+00]\n", + " [-1.09770165e+00 2.09781330e+00]\n", + " [ 2.79755744e-02 2.78050674e+00]\n", + " [-3.12834497e-01 3.74834986e+00]]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ld = qmcpy.Sobol(2) #Sobol' points\n", + "another_unif_ld = qmcpy.Uniform(ld, lower_bound=[-2,2], upper_bound=[2,4]) #define the desired probability distribution with sobol as input\n", + "points = another_unif_ld.gen_samples(2**8)\n", + "print(another_unif_ld)\n", + "print(f'\\nUniform LD points with shape {points.shape}\\n'+str(points)) #these points have 15 significant digit precision but only three digits are shown\n", + "plot_successive_points(another_unif_ld,'Uniform LD',first_n=2**8,xlim=[-2,2],ylim=[2,4])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DMDDTRcKv55v" + }, + "source": [ + "#### Gaussian\n", + "\n", + "A similar process can be followed for constructing points that mimic a multivariate Gaussian distribution. The transformation used here assigns the directions with the larger variance to the lower numbered coordinates of the LD sequence via principal component analysis (PCA) or equivalently an eigvenvector-eigenvalue decomposition of the covariance matrix. This takes advantage of the fact that the lower numbered coordinates of an LD sequence tend to have better evenness." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "pudZRbKjtP5G", + "outputId": "8a18aa0a-ff65-4fc7-cd0a-5c2cef03a1e6" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Gaussian (AbstractTrueMeasure)\n", + " mean [3 2]\n", + " covariance [[9 5]\n", + " [5 4]]\n", + " decomp_type PCA\n", + "\n", + "Gaussian LD Points with shape (256, 2)\n", + "[[ 9.80784089e-01 -6.70135637e-01]\n", + " [ 4.29201337e+00 3.08939243e+00]\n", + " [ 2.70351262e+00 1.39177419e+00]\n", + " [ 6.94591370e+00 5.61220091e+00]\n", + " [ 1.22732660e+00 1.58259254e+00]\n", + " [ 5.96795261e+00 2.99596433e+00]\n", + " [ 2.44027019e+00 3.89861289e+00]\n", + " [-1.57840943e+00 -8.93333455e-01]\n", + " [ 1.08644957e+00 5.76156485e-01]\n", + " [ 4.28113054e+00 4.32931865e+00]\n", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ld = qmcpy.Lattice(2)\n", + "gaussian_ld = qmcpy.Gaussian(ld, mean=[3,2], covariance=[[9,5], [5,4]]) #specify the desired mean and covariance of your multivariate Gaussian distribution\n", + "points = gaussian_ld.gen_samples(2**8)\n", + "print(gaussian_ld)\n", + "print(f'\\nGaussian LD Points with shape {points.shape}\\n'+str(points)) #these points have 15 significant digit precision but only three digits are shown\n", + "plot_successive_points(gaussian_ld,'Gaussian LD',first_n=2**8,xlim=[-6,12],ylim=[-2,6])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lcgMPIqo4i0-" + }, + "source": [ + "[TransformedLD]: https://arxiv.org/abs/2004.09887 \"Li, Y., Kang, L., and Hickernell, F. J. Is a Transformed Low Discrepancy Design Also Low Discrepancy? in Contemporary Experimental Design, Multivariate Analysis and Data Mining, Festschrift in Honour of Professor Kai-Tai Fang (J. Fan and J. Pan, eds.), p. 69–92, 2020.\"\n", + "\n", + "Transformations of low discrepancy sequences often have good properties, but may not be low discrepancy themselves, depending on your definition of discrepancy as shown by [Yiou Li and Lulu Kang][TransformedLD]." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "azx_-HNzb6m5" + }, + "source": [ + "**_Pause for questions_**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "iaAiqS7ccQ2v" + }, + "source": [ + "## Integration\n", + "\n", + "[Keister]: https://aip.scitation.org/doi/pdf/10.1063/1.168565 \"Keister, B. D. Multidimensional Quadrature Algorithms. Computers in Physics 10, 119–122 (1996).\"\n", + "\n", + "Cubature—the approximation of multivariate integrals—is an important application area for QMC. To solve this problem we need the ``Integrand`` and ``StoppingCriterion`` classes.\n", + "\n", + "Consider the followng $d$-variate integral due to [Keister][Keister]:\n", + "\\begin{equation*}\n", + "\\mu = \\int_{\\mathbb{R}^d} \\cos(\\lVert\\boldsymbol{t}\\rVert) \\exp( - \\lVert \\boldsymbol{t} \\rVert^2) \\, \\mathrm{d} \\boldsymbol{t},\n", + "\\end{equation*}\n", + "where $\\lVert \\cdot \\rVert$ is the Euclidean norm. To approximate this integral via (Q)MC methods, it needs to be written as the integral with respect to a probability measure, e.g.,\n", + "\\begin{equation*}\n", + "\\mu = \\int_{\\mathbb{R}^d} \\underbrace{\\pi^{d/2} \\cos(\\lVert\\boldsymbol{t}\\rVert)}_{g(\\boldsymbol{t})} \\; \\underbrace{\\pi^{-d/2} \\exp( - \\lVert \\boldsymbol{t} \\rVert^2) \\, \\mathrm{d} \\boldsymbol{t}}_{\\mathcal{N}(\\boldsymbol{0}_d,\\mathsf{I}_d/2) \\text{ measure}}.\n", + "\\end{equation*}\n", + "Using transformation techniques highlighted above, this integral can be further transformed to an integral over the unit cube, which is suitable for certain stopping criteria:\n", + "\\begin{equation*}\n", + "\\mu = \\int_{[0,1]^d} \\underbrace{\\pi^{d/2} \\cos\\left(\\sqrt{ \\frac 12 \\sum_{j=1}^d \\bigl[\\Phi^{-1}(x_j)\\bigr]^2}\\right)}_{f(\\boldsymbol{x})} \\, \\rm d \\boldsymbol{x}.\n", + "\\end{equation*}\n", + "\n", + "Although it may seem counter-intuitive, we set up our numerical problem by\n", + "\n", + "* first choosing the ``DiscreteDistribution`` object,\n", + "* next the ``TrueMeasure`` object,\n", + "* thirdly choosing ``Integrand`` object, and\n", + "* finally the ``StoppingCriterion`` object." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "id": "_w1FeeDRcbok" + }, + "outputs": [], + "source": [ + "d = 5 #coded as parameters so that\n", + "tol = 1e-3 #you can change here and propagate them through this example\n", + "lattice = qmcpy.Lattice(d)\n", + "gaussian_lattice = qmcpy.Gaussian(lattice, mean = 0, covariance = 1/2) #mean and covariance of the distribution identified above" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HXqFIrY-kKky" + }, + "source": [ + "### ``Integrand`` objects\n", + "\n", + "The ``TrueMeasure`` object becomes input to an ``Integrand`` object, which transforms our original integrand, $g$, to our eventual integrand, $f$. This transformation relies on the ``TrueMeasure`` object along with its corresponding ``DiscreteDistribution`` object. The object ``qmcpy.Keister`` has already been coded as a use case in ``qmcpy``." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "id": "x4xC0suLkGCf" + }, + "outputs": [], + "source": [ + "keister = qmcpy.Keister(gaussian_lattice) #transform the original integrand to the eventual one" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lerpTkUtkMNn" + }, + "source": [ + "### ``StoppingCriterion`` objects and the ``integrate`` method\n", + "\n", + "[CubQMCLatticeG]: https://arxiv.org/abs/1411.1966 \"Jiménez Rugama, Ll. A. & Hickernell, F. J. Adaptive Multidimensional Integration Based on Rank-1 Lattices in Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (eds Cools, R. & Nuyens,D.) 163.arXiv:1411.1966 (Springer-Verlag, Berlin, 2016), 407–422.\"\n", + "\n", + "Determining the sample size needed requires a stopping criterion, which typically depends on the error tolerance, ``abs_tol``. The stopping criterion attempts to produce the answer satisfying the error tolerance with not much more work than is truly needed. There are several ``StoppingCriterion`` objects available, but they tend to work for specific LD sequences. This one comes from [Tony Jiménez Rugama][CubQMCLatticeG]. It takes as its input the ``Integrand`` object, which carries information about the ``TrueMeasure`` object and its ``DiscreteDistribution`` object." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "id": "xNaRz44KkGZt" + }, + "outputs": [], + "source": [ + "keister_lattice_gauss_g = qmcpy.CubQMCLatticeG(keister, abs_tol = tol) #using Tony's stopping criterion" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "h09IBoHscjaY" + }, + "source": [ + "Invoking the ``integrate`` method returns the numerical solution and a data object. Printing the data object provides a neat summary of the integration problem. For details of the output fields, see the online, searchable QMCPy Documentation at [https://qmcpy.readthedocs.io/](https://qmcpy.readthedocs.io/en/latest/algorithms.html#module-qmcpy.integrand.keister)." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "bvo8WUAociQk", + "outputId": "e355bb54-2e9c-4721-91b0-1f32ab23a994" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 1.135\n", + " comb_bound_low 1.135\n", + " comb_bound_high 1.136\n", + " comb_bound_diff 0.001\n", + " comb_flags 1\n", + " n_total 2^(17)\n", + " n 2^(17)\n", + " time_integrate 0.042\n", + "CubQMCLatticeG (AbstractStoppingCriterion)\n", + " abs_tol 0.001\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(30)\n", + "Keister (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + " transform Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + "Lattice (AbstractLDDiscreteDistribution)\n", + " d 5\n", + " replications 1\n", + " randomize SHIFT\n", + " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", + " order RADICAL INVERSE\n", + " n_limit 2^(20)\n", + " entropy 38563684764170563855999902143753109741\n" + ] + } + ], + "source": [ + "solution, data = keister_lattice_gauss_g.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Tp1gEJNvHrCH" + }, + "source": [ + "#### Fixed sample budget computation\n", + "\n", + "If you are not concerned about meeting an error tolerance but can only afford ``n_max`` function values, then you can set an ``abs_tol`` small enough and set ``n_max`` to your desired sample size. You will get an error bound." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "qqQBnGnpdQGG", + "outputId": "7d9a57a6-c4fb-40f8-f4cc-45ef1ed8940d" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 1.129\n", + " comb_bound_low 1.116\n", + " comb_bound_high 1.142\n", + " comb_bound_diff 0.026\n", + " comb_flags 0\n", + " n_total 2^(12)\n", + " n 2^(12)\n", + " time_integrate 0.003\n", + "CubQMCLatticeG (AbstractStoppingCriterion)\n", + " abs_tol 1.00e-06\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(12)\n", + "Keister (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + " transform Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + "Lattice (AbstractLDDiscreteDistribution)\n", + " d 5\n", + " replications 1\n", + " randomize SHIFT\n", + " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", + " order RADICAL INVERSE\n", + " n_limit 2^(20)\n", + " entropy 38563684764170563855999902143753109741\n" + ] + } + ], + "source": [ + "warnings.simplefilter(\"ignore\")\n", + "keister_lattice_gauss_g_small_n = qmcpy.CubQMCLatticeG(keister, abs_tol = 1e-6, n_limit = 2**12) #the default n_max is 2**35\n", + "solution, data = keister_lattice_gauss_g_small_n.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "TfKJMMnwo_6k" + }, + "source": [ + "#### QMC is much faster than MC. (Q)MC cost is mostly dimension dependent\n", + "\n", + "Run this next code block to see how the run time and the number of function evaluations increase as the tolerance decreases. QMC using LD sequences uses much less time and much fewer function values than MC using IID sequences.\n", + "\n", + "Tensor product rules have a time or function value cost that is $\\mathcal{O}(\\varepsilon^{-d/r})$, where $\\varepsilon$ is the error tolerance and $r$ is bounded above by both the smoothness of the integrand and the quality of the algorithm. Such rules have a _curse of dimensionality_ because their cost blows up exponentially with dimension.\n", + "\n", + "Unlike tensor product cubature rules, the cost of (Q)MC cubature is essentially dimension independent: $\\mathcal{O}(\\varepsilon^{-2})$ for IID MC and typically $\\mathcal{O}(\\varepsilon^{-1-\\delta})$ for QMC. Although Q(MC) is not particularly fast, its performance usually does not degrade as the number of variables of in the integrand increases." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 436 + }, + "id": "EzaSx-P5UWHY", + "outputId": "2dc5b0eb-310c-4aa1-b185-f6024a1221ea" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Keister integral = 1.1356452963607024\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "d = 5; tol = 2.5e-3 #re-construct the example\n", + "#d = 7; tol = 3e-3 #if you change the dimension\n", + "#d = 10; tol = 3e-2 #you may also wish to change the tolerance, since the value of the integral changes\n", + "ld_keister = qmcpy.Keister(qmcpy.Gaussian(qmcpy.Lattice(d), mean = 0, covariance = 1/2)) #mean and covariance of the distribution identified above\n", + "iid_keister = qmcpy.Keister(qmcpy.Gaussian(qmcpy.IIDStdUniform(d), mean = 0, covariance = 1/2))\n", + "\n", + "n_tol = 7\n", + "ii_iid = 2 #make this larger to reduce the time required\n", + "tol_vec = [tol*2**(ii) for ii in range(n_tol)] #initialize\n", + "ld_time = [0]*n_tol; ld_n = [0]*n_tol #low discrepancy time and number of function values\n", + "iid_time = [0]*n_tol; iid_n = [0]*n_tol #IID time and number of function values\n", + "for ii in range(n_tol):\n", + " solution, data = qmcpy.CubQMCLatticeG(ld_keister, abs_tol = tol_vec[ii]).integrate()\n", + " if ii == 0:\n", + " print(f'\\nKeister integral = {solution}\\n')\n", + " ld_time[ii] = data.time_integrate\n", + " ld_n[ii] = data.n_total\n", + " if ii >= ii_iid:\n", + " solution, data = qmcpy.CubMCG(iid_keister, abs_tol = tol_vec[ii]).integrate()\n", + " iid_time[ii] = data.time_integrate\n", + " iid_n[ii] = data.n_total\n", + "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(13,5.5))\n", + "ax[0].scatter(tol_vec[0:n_tol],ld_time[0:n_tol],color='b');\n", + "ax[0].plot(tol_vec[0:n_tol],[(ld_time[0]*tol_vec[0])/tol_vec[jj] for jj in range(n_tol)],color='b')\n", + "ax[0].scatter(tol_vec[ii_iid:n_tol],iid_time[ii_iid:n_tol],color='g');\n", + "ax[0].plot(tol_vec[ii_iid:n_tol],[(iid_time[ii_iid]*(tol_vec[ii_iid]**2))/(tol_vec[jj]**2) for jj in range(ii_iid,n_tol)],color='g')\n", + "ax[0].set_ylim([0.001,1000]); ax[0].set_ylabel('Time (s)')\n", + "ax[1].scatter(tol_vec[0:n_tol],ld_n[0:n_tol],color='b');\n", + "ax[1].plot(tol_vec[0:n_tol],[(ld_n[0]*tol_vec[0])/tol_vec[jj] for jj in range(n_tol)],color='b')\n", + "ax[1].scatter(tol_vec[ii_iid:n_tol],iid_n[ii_iid:n_tol],color='g');\n", + "ax[1].plot(tol_vec[ii_iid:n_tol],[(iid_n[ii_iid]*(tol_vec[ii_iid]**2))/(tol_vec[jj]**2) for jj in range(ii_iid,n_tol)],color='g')\n", + "ax[1].set_ylim([1e2,1e8]); ax[1].set_ylabel('n')\n", + "for ii in range(2):\n", + " ax[ii].set_xlim([tol,100*tol]); ax[ii].set_xlabel('Tolerance, '+r'$\\varepsilon$')\n", + " ax[ii].set_xscale('log'); ax[ii].set_yscale('log')\n", + " ax[ii].legend([r'$\\mathcal{O}(\\varepsilon^{-1})$',r'$\\mathcal{O}(\\varepsilon^{-2})$','LD','IID'],frameon=False)\n", + " ax[ii].set_aspect(0.35)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "xjYc-Lco8mfm" + }, + "source": [ + "### Alternatives for ``StoppingCriterion``\n", + "\n", + "Other ``StoppingCriterion`` objects are available. Most are tied to particular ``DiscreteDistribution`` objects. For LD points one can use replications and the Central Limit Theorem (CLT)." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jlMvENFj83_Q", + "outputId": "5a8ab21d-fbd1-4bf8-a2af-15f617c7b7da" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 1.135\n", + " comb_bound_low 1.134\n", + " comb_bound_high 1.136\n", + " comb_bound_diff 0.002\n", + " comb_flags 1\n", + " n_total 122880\n", + " n 122880\n", + " n_rep 2^(13)\n", + " time_integrate 0.029\n", + "CubQMCRepStudentT (AbstractStoppingCriterion)\n", + " inflate 1\n", + " alpha 0.010\n", + " abs_tol 0.003\n", + " rel_tol 0\n", + " n_init 2^(8)\n", + " n_limit 2^(30)\n", + "Keister (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + " transform Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + "Lattice (AbstractLDDiscreteDistribution)\n", + " d 5\n", + " replications 15\n", + " randomize SHIFT\n", + " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", + " order RADICAL INVERSE\n", + " n_limit 2^(20)\n", + " entropy 275034244784380212109446453686580990022\n" + ] + } + ], + "source": [ + "lattice_rep = qmcpy.Lattice(d,replications=15)\n", + "gaussian_lattice_rep = qmcpy.Gaussian(lattice_rep, mean = 0, covariance = 1/2)\n", + "keister_rep = qmcpy.Keister(gaussian_lattice_rep)\n", + "keister_lattice_gauss_CLT = qmcpy.CubQMCCLT(keister_rep, abs_tol = tol) #using a CLT stopping criterion with random replications\n", + "solution, data = keister_lattice_gauss_CLT.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HCadgtCYb_AJ" + }, + "source": [ + "This answer agrees with the one above." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "n1BT5mFBiwA0" + }, + "source": [ + "### Alternatives for ``TrueMeasure``\n", + "\n", + "The Keister integrand may also be solved using a Lebesgue ``TrueMeasure`` object:\n", + "$$\\mu = \\int_{\\mathbb{R}^d} \\underbrace{\\cos(\\lVert\\boldsymbol{t}\\rVert) \\exp( - \\lVert\\boldsymbol{t}\\rVert^2)}_{g(\\boldsymbol{t})} \\, \\underbrace{\\mathrm{d} \\boldsymbol{t}}_{\\text{Lebesgue measure}}$$\n", + "The ``TrueMeasure`` object contains the appropriate information so that the ``Integrand`` object can obtain the correct eventual integrand, $f$, in terms of the original integrand, $g$. \n", + "\n", + "Since ``TrueMeasure`` is not a probability measure, so it cannot be mimicked, but it can be used to solve the integration problem. The ``Integrand`` object maps the problem using an affine transformation for finite boxes and an inverse normal distribution function transformation for $\\mathbb{R}^d$.\n", + "\n", + "The code below also shows how to take our own integrand defined with a simple input and output, and turn it into a ``qmcpy`` ready integrand using the ``qmcpy.CustomFun`` object." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Y8FUgw9PVaMt", + "outputId": "5518418c-da80-41b8-c0be-7f7bc51cec3f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 1.136\n", + " comb_bound_low 1.133\n", + " comb_bound_high 1.138\n", + " comb_bound_diff 0.004\n", + " comb_flags 1\n", + " n_total 2^(16)\n", + " n 2^(16)\n", + " time_integrate 0.030\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.003\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "CustomFun (AbstractIntegrand)\n", + "Lebesgue (AbstractTrueMeasure)\n", + " transform Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 1\n", + " decomp_type PCA\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 5\n", + " replications 1\n", + " randomize LMS DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order RADICAL INVERSE\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 91580573475794728146679265749810645603\n" + ] + } + ], + "source": [ + "def my_Keister(x): #this could be a functional of a solution to a PDE with random coefficients\n", + " #or anything that you would like\n", + " \"\"\"\n", + " x: nxd numpy ndarray\n", + " n samples\n", + " d dimensions\n", + "\n", + " returns n-vector of the Keister function\n", + " evaluated at the n input samples\n", + " \"\"\"\n", + " d = x.shape[1]\n", + " norm = np.sqrt((x**2).sum(1))\n", + " k = np.cos(norm)*np.exp(-norm**2)\n", + " return k #size n vector\n", + "\n", + "ld = qmcpy.Sobol(d) #choose the LD points\n", + "lebesgue = qmcpy.Lebesgue(qmcpy.Gaussian(ld)) #now choose the Lebesgue distribution\n", + "f = qmcpy.CustomFun(lebesgue, g=my_Keister)\n", + "keister_lebesgue_ld_g = qmcpy.CubQMCSobolG(f, abs_tol = tol) #the stopping criterion does need to match the LD points\n", + "solution, data = keister_lebesgue_ld_g.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_2SFs_6Ma-9q" + }, + "source": [ + "This answer agrees with the answers above for the same integration problem.\n", + "\n", + "The initial ``DiscreteDistribution`` does not need to mimic the standard uniform distribution as this next example shows." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "8a0KABTT3Lai", + "outputId": "85d5d973-00f1-4945-be11-83e84da6426a" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 1.127\n", + " bound_low 1.099\n", + " bound_high 1.155\n", + " bound_diff 0.056\n", + " n_total 1694184\n", + " time_integrate 0.361\n", + "CubMCCLT (AbstractStoppingCriterion)\n", + " abs_tol 0.025\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(30)\n", + " inflate 1.200\n", + " alpha 0.010\n", + "CustomFun (AbstractIntegrand)\n", + "Lebesgue (AbstractTrueMeasure)\n", + " transform Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 1\n", + " decomp_type PCA\n", + "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", + " d 5\n", + " replications 1\n", + " entropy 110067297374675390351789060258764096093\n" + ] + } + ], + "source": [ + "iid = qmcpy.IIDStdUniform(d) #choose the LD points\n", + "lebesgue = qmcpy.Lebesgue(qmcpy.Gaussian(iid)) #now choose the Lebesgue distribution\n", + "f = qmcpy.CustomFun(lebesgue, g=my_Keister)\n", + "keister_lebesgue_ld_g = qmcpy.CubMCCLT(f, abs_tol = 10*tol) #the stopping criterion does need to match the points\n", + "solution, data = keister_lebesgue_ld_g.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "py0Q1ysPyhdn" + }, + "source": [ + "### Multi-level (Q)MC\n", + "\n", + "When the dimesion of the multivariate integral is high, multi-level (Quasi-)Monte Carlo (ML(Q)MC) methods may save computation time. The cost of one integrand value depends on the number of input variables, $d$, which corresponds to the dimension of our integration problem. ML(Q)MC methods allow us attain our accuracy requirements by evaluating low dimensional integrands many times and high dimensional integrands much fewer times.\n", + "\n", + "High or infinte dimesional integration problems arise when computing the expectations of quantities coming stochastic differential equations (SDEs). These problems arise in finance applications. The dimension of the integrand typically refers to the number of time steps used to discretize the SDE.\n", + "\n", + "Here are some parameters for the Asian option examples below. Changing them here allows you to compare the run times of these examples in a fair way." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "id": "V_IXXRnNuBAa" + }, + "outputs": [], + "source": [ + "abs_tol = .05 #a nickel\n", + "n_time_steps = 64 #being a power of 2 will help for multi-level\n", + "\n", + "options = { #there should be nothing magic about these choices\n", + " 'interest_rate': .05,\n", + " 'volatility': .5,\n", + " 'start_price': 30,\n", + " 'strike_price': 30\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "byuaaQO4rYpS" + }, + "source": [ + "#### Single Level MC\n", + "\n", + "The vanilla way to solve this problem is IID Monte Carlo. The fair price of the option is an expectation or integral, and the dimension is the number of time steps of used to discretize the Brownian motion that drives the SDE describing the price of the underlying asset. The number of time steps should be fairly large.\n", + "\n", + "[CubMCG]: https://arxiv.org/abs/1208.4318 \"Fred J. Hickernell, Lan Jiang, Yuewei Liu, and Art B. Owen, 'Guaranteed conservative fixed width confidence intervals via Monte Carlo sampling,' Monte Carlo and Quasi-Monte Carlo Methods 2012 (J. Dick, F.Y. Kuo, G. W. Peters, and I. H. Sloan, eds.), pp. 105-128, Springer-Verlag, Berlin, 2014. DOI: 10.1007/978-3-642-41095-6_5\"\n", + "\n", + "[This paper by Lan Jiang and collaborators][CubMCG] describes the stopping criterion." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "DoxNSMfFl5C-", + "outputId": "c093118a-cc82-4bf3-81ed-2f85a69ff446" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 3.686\n", + " bound_low 3.636\n", + " bound_high 3.736\n", + " bound_diff 0.100\n", + " n_total 225848\n", + " time_integrate 0.834\n", + "CubMCG (AbstractStoppingCriterion)\n", + " abs_tol 0.050\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(30)\n", + " inflate 1.200\n", + " alpha 0.010\n", + " kurtmax 1.478\n", + "AsianOption (AbstractIntegrand)\n", + " option ASIAN\n", + " call_put CALL\n", + " volatility 2^(-1)\n", + " start_price 30\n", + " strike_price 30\n", + " interest_rate 0.050\n", + " t_final 1\n", + " asian_mean ARITHMETIC\n", + "BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 0\n", + " mean [0. 0. 0. ... 0. 0. 0.]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + " transform BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 0\n", + " mean [0. 0. 0. ... 0. 0. 0.]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", + " d 2^(6)\n", + " replications 1\n", + " entropy 14445467058155448935378672762555839489\n" + ] } + ], + "source": [ + "iidBrownian = qmcpy.BrownianMotion(qmcpy.IIDStdUniform(n_time_steps))\n", + "payoff = qmcpy.AsianOption(iidBrownian, **options)\n", + "IIDstop = qmcpy.CubMCG(payoff,abs_tol=abs_tol)\n", + "price,data = IIDstop.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HzGDIfvanzgk" + }, + "source": [ + "#### Adaptive Multilevel MC from Mike Giles\n", + "\n", + "[CubMCML]: https://pubsonline.informs.org/doi/abs/10.1287/opre.1070.0496 \"Giles, M. Multilevel Monte Carlo Path Simulation. Operations Research 56,607–617 (June 2008).\"\n", + "\n", + "[GilesSoftware]: http://people.maths.ox.ac.uk/~gilesm/mlmc/\n", + "\n", + "Mike Giles and his collaborators have developed several ML(Q)MC algorithms. The ML IID MC algorithm and stopping criterion implemented here are from [this paper][CubMCML] and [this code][GilesSoftware]. The answer is expected to be different than above, even with the same parameters, as the `MLCallOptions` uses a different discretization. The algorithm considers the SDE for logarithm of the stock price, which allows exact time stepping for constant interest rates and volatirilities, while Giles uses a Milstein discretization for the SDE for the stock price iteself." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "d2ZmrKjyoYY0", + "outputId": "b662e8fb-5ef3-4960-8ffd-0b9cf41bc94e" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 3.681\n", + " n_total 430326\n", + " levels 3\n", + " n_level [341502 61469 27319]\n", + " mean_level [3.589 0.071 0.021]\n", + " var_level [39.742 2.575 0.665]\n", + " cost_per_sample [2. 4. 8.]\n", + " alpha 1.769\n", + " beta 1.953\n", + " gamma 1.000\n", + " time_integrate 0.077\n", + "CubMLMC (AbstractStoppingCriterion)\n", + " rmse_tol 0.019\n", + " n_init 2^(8)\n", + " levels_min 2^(1)\n", + " levels_max 10\n", + " theta 2^(-1)\n", + "AsianOption (AbstractIntegrand)\n", + " option ASIAN\n", + " call_put CALL\n", + " volatility 2^(-1)\n", + " start_price 30\n", + " strike_price 30\n", + " interest_rate 0.050\n", + " t_final 1\n", + " asian_mean ARITHMETIC\n", + "BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 0\n", + " mean [0. 0. 0. ... 0. 0. 0.]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + " transform BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 0\n", + " mean [0. 0. 0. ... 0. 0. 0.]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + "IIDStdUniform (AbstractIIDDiscreteDistribution)\n", + " d 2^(6)\n", + " replications 1\n", + " entropy 14445467058155448935378672762555839489\n" + ] + } + ], + "source": [ + "giles_MLMC_stop = qmcpy.CubMCML(payoff,abs_tol=abs_tol)\n", + "solution,data = giles_MLMC_stop.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HTkrRMi9rk_b" + }, + "source": [ + "#### Single Level QMC Baseline\n", + "\n", + "[CubQMCSobolG]: https://arxiv.org/abs/1410.8615 \"Fred J. Hickernell and Lluis Antoni Jimenez Rugama, 'Reliable adaptive cubature using digital sequences,' Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (R. Cools and D. Nuyens, eds.), Springer Proceedings in Mathematics and Statistics, vol. 163, Springer-Verlag, Berlin, 2016, arXiv:1410.8615 [math.NA], pp. 367-383.\"\n", + "\n", + "Tony Jiménez's stopping criterion for cubature via Sobol' sequences in [this paper][CubQMCSobolG] does not yet work for multi-level problems. Here it is treating the option pricing problem as a high dimensional integral." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XtUqkZ1Qr2tH", + "outputId": "07d0855f-1747-407b-a04c-b6d9cc18c1e1" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 3.697\n", + " comb_bound_low 3.672\n", + " comb_bound_high 3.721\n", + " comb_bound_diff 0.049\n", + " comb_flags 1\n", + " n_total 2^(10)\n", + " n 2^(10)\n", + " time_integrate 0.003\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.050\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "AsianOption (AbstractIntegrand)\n", + " option ASIAN\n", + " call_put CALL\n", + " volatility 2^(-1)\n", + " start_price 30\n", + " strike_price 30\n", + " interest_rate 0.050\n", + " t_final 1\n", + " asian_mean ARITHMETIC\n", + "BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 0\n", + " mean [0. 0. 0. ... 0. 0. 0.]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + " transform BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 0\n", + " mean [0. 0. 0. ... 0. 0. 0.]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 2^(6)\n", + " replications 1\n", + " randomize LMS DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order RADICAL INVERSE\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 267658111069601541207388819540918772545\n" + ] + } + ], + "source": [ + "sobol_brownian = qmcpy.BrownianMotion(qmcpy.Sobol(n_time_steps))\n", + "integrand = qmcpy.AsianOption(sobol_brownian, **options)\n", + "stopping_criterion = qmcpy.CubQMCSobolG(integrand,abs_tol = abs_tol)\n", + "solution,data = stopping_criterion.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ViBnbZ2GQDGK" + }, + "source": [ + "### Importance Sampling\n", + "\n", + "For the option pricing problem, we may add a drift to the Brownian motion as an example of importance sampling.\n", + "\n", + "First, we need to change our problem to one for which importance sampling can show some benefit. We consider an out-of-the-money call option." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "id": "Le1wHMsTQana" + }, + "outputs": [], + "source": [ + "abs_tol = .001\n", + "n_time_steps = 64\n", + "\n", + "options = {\n", + " 'interest_rate': .05,\n", + " 'volatility': .5,\n", + " 'start_price': 30,\n", + " 'strike_price': 40 #a larger strike price than before\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "LIqdo4uuQsRd" + }, + "source": [ + "First we price it as above using single level QMC." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "NeXo-ZgUQ0IN", + "outputId": "8cabc874-c146-49f0-ea71-2413ee05367d" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 1.018\n", + " comb_bound_low 1.017\n", + " comb_bound_high 1.019\n", + " comb_bound_diff 0.002\n", + " comb_flags 1\n", + " n_total 2^(15)\n", + " n 2^(15)\n", + " time_integrate 0.118\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.001\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "AsianOption (AbstractIntegrand)\n", + " option ASIAN\n", + " call_put CALL\n", + " volatility 2^(-1)\n", + " start_price 30\n", + " strike_price 40\n", + " interest_rate 0.050\n", + " t_final 1\n", + " asian_mean ARITHMETIC\n", + "BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 0\n", + " mean [0. 0. 0. ... 0. 0. 0.]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + " transform BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 0\n", + " mean [0. 0. 0. ... 0. 0. 0.]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 2^(6)\n", + " replications 1\n", + " randomize LMS DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order RADICAL INVERSE\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 68741035845447190293894879002444698271\n" + ] + } + ], + "source": [ + "sobol_brownian = qmcpy.BrownianMotion(qmcpy.Sobol(n_time_steps))\n", + "integrand = qmcpy.AsianOption(sobol_brownian, **options)\n", + "stopping_criterion = qmcpy.CubQMCSobolG(integrand,abs_tol = abs_tol)\n", + "solution,data = stopping_criterion.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1pgJzDBVRIzH" + }, + "source": [ + "Next, we introduce an upward drift in the Brownian motion, which produces more stock price paths with positive payoffs. This produces a smaller varation in the integrand and a generally faster run time. (There still remains the question of how to automatically choose an optimal drift.)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MAXEi_UkRstV", + "outputId": "f2732860-468e-4861-c693-106a97d6f719" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 1.018\n", + " comb_bound_low 1.018\n", + " comb_bound_high 1.019\n", + " comb_bound_diff 0.001\n", + " comb_flags 1\n", + " n_total 2^(15)\n", + " n 2^(15)\n", + " time_integrate 0.115\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.001\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "AsianOption (AbstractIntegrand)\n", + " option ASIAN\n", + " call_put CALL\n", + " volatility 2^(-1)\n", + " start_price 30\n", + " strike_price 40\n", + " interest_rate 0.050\n", + " t_final 1\n", + " asian_mean ARITHMETIC\n", + "BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 0\n", + " mean [0. 0. 0. ... 0. 0. 0.]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + " transform BrownianMotion (AbstractTrueMeasure)\n", + " time_vec [0.016 0.031 0.047 ... 0.969 0.984 1. ]\n", + " drift 2^(-1)\n", + " mean [0.008 0.016 0.023 ... 0.484 0.492 0.5 ]\n", + " covariance [[0.016 0.016 0.016 ... 0.016 0.016 0.016]\n", + " [0.016 0.031 0.031 ... 0.031 0.031 0.031]\n", + " [0.016 0.031 0.047 ... 0.047 0.047 0.047]\n", + " ...\n", + " [0.016 0.031 0.047 ... 0.969 0.969 0.969]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 0.984]\n", + " [0.016 0.031 0.047 ... 0.969 0.984 1. ]]\n", + " decomp_type PCA\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 2^(6)\n", + " replications 1\n", + " randomize LMS DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order RADICAL INVERSE\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 195386499743864987571337198121595404839\n" + ] + } + ], + "source": [ + "sobol_drift_brownian = qmcpy.BrownianMotion(qmcpy.Sobol(n_time_steps), drift = 0.5)\n", + "integrand = qmcpy.AsianOption(sobol_drift_brownian, **options)\n", + "stopping_criterion = qmcpy.CubQMCSobolG(integrand,abs_tol = abs_tol)\n", + "solution,data = stopping_criterion.integrate()\n", + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Qx-HQwxacQAA" + }, + "source": [ + "**_Pause for questions_**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "76dT8RIbKvr3" + }, + "source": [ + "## Under the hood\n", + "\n", + "The structure of ``qmcpy`` is that there are five major classes:\n", + "\n", + "* ``DiscreteDistribution`` used to generate LD sequences, primarily on $[0,1]^d$\n", + "* ``TrueMeasure`` for using these LD sequences to mimic other distributions and to define integrals with respect to other measures\n", + "* ``Integrand`` to define the integrand for the multivariate integration problems\n", + "* ``StoppingCriterion`` to determine when the desired accuracy has been reached\n", + "* ``AccumulateData`` the invisible class used to keep track of important data as you continue to sample\n", + "\n", + "We look at some of the important parameters that the corresponding objects have." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UlHMBejwK4_v" + }, + "source": [ + "[GAIL]: http://gailgithub.github.io/GAIL_Dev/ \"Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell, Lan Jiang, Lluis Antoni Jimenez Rugama, Da Li, Jagadeeswaran Rathinavel, Xin Tong, Kan Zhang, Yizhi Zhang, and Xuan Zhou, GAIL: Guaranteed Automatic Integration Library (Version 2.3.1) [MATLAB Software], 2020. Available from `http://gailgithub.github.io/GAIL_Dev/`\"\n", + "\n", + "[QRNG]: https://CRAN.R-project.org/package=qrng \"Marius Hofert and Christiane Lemieux (2019). qrng: (Randomized) Quasi-Random Number Generators. R package version 0.0-7. `https://CRAN.R-project.org/package=qrng`.\"\n", + "\n", + "[OwenHalton]: https://arxiv.org/abs/1706.02808 \"Owen, A. B. 'A randomized Halton algorithm in R,' 2017. arXiv:1706.02808 [stat.CO]\"\n", + "\n", + "[MPS]: https://people.cs.kuleuven.be/~dirk.nuyens/qmc-generators/ \"F. Y. Kuo and D. Nuyens. 'Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients - a survey of analysis and implementation,' Foundations of Computational Mathematics, 16(6):1631-1696, 2016. ([springer link](https://link.springer.com/article/10.1007/s10208-016-9329-5), [arxiv link](https://arxiv.org/abs/1606.06613))\"\n", + "\n", + "[GilesSoftware]: http://people.maths.ox.ac.uk/~gilesm/mlmc/\n", + "\n", + "[PyTorch]: https://pytorch.org\n", + "\n", + "[LatticeBuilder]: http://simul.iro.umontreal.ca/latbuilder/\n", + "\n", + "### LD sequence generators\n", + "\n", + "The LD generators (``DiscreteDistribution`` objects) implemented here are drawn from several sources, which are denoted ``backend`` (first listed is the default):\n", + "- Sobol: [QRNG], [MPS], & [PyTorch]\n", + "- Lattice: [GAIL] & [MPS], with default generating vectors from [Lattice Builder][LatticeBuilder]\n", + "- Halton: [Art Owen's][OwenHalton] & [QRNG]\n", + "- Korobov: [QRNG]\n", + "\n", + "We illustrate some of the features of these varous backends and some of the other parameters that you can set." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "M60jJ1nGqzy6" + }, + "source": [ + "#### Different lattice backends and generators\n", + "\n", + "The ``qmcpy.Lattice`` generator using the GAIL and MPS ``backends`` with the same generating vectors yield the same points but in a different order. The ``stopping criterion`` ``qmcpy.CubLatticeG`` requires the GAIL order, but not all stopping criteria do." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 690 + }, + "id": "4WN-EBMh6Jqh", + "outputId": "03a61a6c-a3ea-4079-ae2d-edf0f0177a5c" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GAIL Samples\n", + "[0. 0. 0. 0.]\n", + "[0.125 0.375 0.375 0.875]\n", + "[0.25 0.75 0.75 0.75]\n", + "[0.375 0.125 0.125 0.625]\n", + "[0.5 0.5 0.5 0.5]\n", + "[0.625 0.875 0.875 0.375]\n", + "[0.75 0.25 0.25 0.25]\n", + "[0.875 0.625 0.625 0.125]\n", + "\n", + "\n", + "MPS Samples\n", + "[0. 0. 0. 0.]\n", + "[0.5 0.5 0.5 0.5]\n", + "[0.25 0.75 0.75 0.75]\n", + "[0.75 0.25 0.25 0.25]\n", + "[0.125 0.375 0.375 0.875]\n", + "[0.625 0.875 0.875 0.375]\n", + "[0.375 0.125 0.125 0.625]\n", + "[0.875 0.625 0.625 0.125]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "d=4; n=8\n", + "x_gail = qmcpy.Lattice(d,order='linear',randomize=False).gen_samples(n,warn=False)\n", + "print('GAIL Samples')\n", + "for i in range(n): print(x_gail[i])\n", + "x_mps = qmcpy.Lattice(d,order='natural',randomize=False).gen_samples(n,warn=False)\n", + "print('\\n\\nMPS Samples')\n", + "for i in range(n): print(x_mps[i])\n", + "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(10,5.5))\n", + "ax[0].scatter(x_gail[0:n,0],x_gail[0:n,1],color='b')\n", + "ax[0].set_title('GAIL backend')\n", + "ax[1].scatter(x_mps[0:n,0],x_mps[0:n,1],color='b')\n", + "ax[1].set_title('MPS backend')\n", + "for ii in range(2):\n", + " ax[ii].set_xlim([0,1]); ax[ii].set_xticks([0,1]); ax[ii].set_xlabel('$x_{i,1}$')\n", + " ax[ii].set_ylim([0,1]); ax[ii].set_yticks([0,1]); ax[ii].set_ylabel('$x_{i,2}$')\n", + " ax[ii].set_aspect(1)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "vhY1WrmaL-HS" + }, + "source": [ + "#### Default LDs are randomized\n", + "\n", + "LDs can be purely deterministic or they can be randomized. For lattices this corresponds to a random shift modulo one. For Sobol' sequences this corresponds to a random digital shift. (PyTorch also uses random linear scrambling.)\n", + "\n", + "This randomization is turned on by default, but can also be turned off. With randomization off, the points will always look the same. Below the first sequence of points is randomized and so is different every time the code is run. The second sequence is not randomized and stay the same.\n", + "\n", + "Turning off randomization throws a warning, which stops execution in Colab so we disable the warnings." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "T5M5DMXTgewR", + "outputId": "c7132888-4c6f-4667-b95f-cd4b0b883c00" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Randomized LD Points with shape (16, 2)\n", + "[[0.00944244 0.29799738]\n", + " [0.50944244 0.79799738]\n", + " [0.25944244 0.04799738]\n", + " [0.75944244 0.54799738]\n", + " [0.13444244 0.67299738]\n", + " [0.63444244 0.17299738]\n", + " [0.38444244 0.42299738]\n", + " [0.88444244 0.92299738]\n", + " [0.07194244 0.98549738]\n", + " [0.57194244 0.48549738]\n", + " [0.32194244 0.73549738]\n", + " [0.82194244 0.23549738]\n", + " [0.19694244 0.36049738]\n", + " [0.69694244 0.86049738]\n", + " [0.44694244 0.11049738]\n", + " [0.94694244 0.61049738]]\n", + "\n", + "Nonrandomized LD Points with shape (16, 2)\n", + "[[0. 0. ]\n", + " [0.5 0.5 ]\n", + " [0.25 0.75 ]\n", + " [0.75 0.25 ]\n", + " [0.125 0.375 ]\n", + " [0.625 0.875 ]\n", + " [0.375 0.125 ]\n", + " [0.875 0.625 ]\n", + " [0.0625 0.6875]\n", + " [0.5625 0.1875]\n", + " [0.3125 0.4375]\n", + " [0.8125 0.9375]\n", + " [0.1875 0.0625]\n", + " [0.6875 0.5625]\n", + " [0.4375 0.8125]\n", + " [0.9375 0.3125]]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "warnings.simplefilter('ignore') #turn off warnings which stop execution in Colab\n", + "n = 16\n", + "ldA = qmcpy.Lattice(2)\n", + "ldB = qmcpy.Lattice(2, randomize = False)\n", + "pointsA = ldA.gen_samples(n) #construct some points\n", + "pointsB = ldB.gen_samples(n) #construct some points\n", + "print(f'\\nRandomized LD Points with shape {pointsA.shape}\\n'+str(pointsA)) #these points have 15 significant digit precision but only three digits are shown\n", + "print(f'\\nNonrandomized LD Points with shape {pointsB.shape}\\n'+str(pointsB)) #these points have 15 significant digit precision but only three digits are shown\n", + "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(10,5.5))\n", + "ax[0].scatter(pointsA[0:n,0],pointsA[0:n,1],color='b')\n", + "ax[1].scatter(pointsB[0:n,0],pointsB[0:n,1],color='b')\n", + "for ii in range(2):\n", + " ax[ii].set_xlim([0,1]); ax[ii].set_xticks([0,1]); ax[ii].set_xlabel('$x_{i,1}$')\n", + " ax[ii].set_ylim([0,1]); ax[ii].set_yticks([0,1]); ax[ii].set_ylabel('$x_{i,2}$')\n", + " ax[ii].set_aspect(1)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "cfp-PHhOMOJ_" + }, + "source": [ + "#### Unrandomized LDs start with $\\boldsymbol{0}$\n", + "\n", + "By definition, without randomization the first point in all the popluar LD sequences is the origin. You can try." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "3QEtEYJuiJOB", + "outputId": "63714e97-1d0d-427e-e39c-9666d7044025" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "LD Points with shape (4, 6)\n", + "[[0. 0. 0. 0. 0. 0. ]\n", + " [0.5 0.5 0.5 0.5 0.5 0.5 ]\n", + " [0.25 0.75 0.75 0.75 0.25 0.75]\n", + " [0.75 0.25 0.25 0.25 0.75 0.25]]\n" + ] + } + ], + "source": [ + "warnings.simplefilter('ignore') #turn off warnings which stop execution in Colab\n", + "ld = qmcpy.Lattice(6,randomize=False)\n", + "points = ld.gen_samples(4) #construct some points\n", + "print(f'\\nLD Points with shape {points.shape}\\n'+str(points)) #these points have 15 significant digit precision but only three digits are shown" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "95B7fJ5kMX1H" + }, + "source": [ + "#### Coordinate values of zero and one may be problemetic if transformed to $\\mathbb{R}^d$\n", + "\n", + "If a coordinate value of a point constructed on $[0,1]^d$ is zero or one, then then $0$ is mapped to $-\\infty$ and $1$ is mapped to $\\infty$ when these points are transformed to $\\mathbb{R}^d$, as is done when solving problems with Gaussian distributions. In Python, these may turn out to be ``nan``. For many applications, infinities or ``nan`` will be troublesome." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "t13Hkd1kkzjE", + "outputId": "b9785a1f-87cb-4498-f09b-b0efcce81318" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "LD Points with shape (2, 6)\n", + "[[0. 0. 0. 0. 0. 0. ]\n", + " [0.5 0.5 0.5 0.5 0.5 0.5]]\n", + "\n", + "LD Points with shape (2, 6)\n", + "[[nan nan nan nan nan nan]\n", + " [ 0. 0. 0. 0. 0. 0.]]\n" + ] + } + ], + "source": [ + "warnings.simplefilter('ignore') #turn off warnings which stop execution in Colab\n", + "ld = qmcpy.Lattice(6,randomize=False)\n", + "unif_points = ld.gen_samples(2) #construct some points\n", + "print(f'\\nLD Points with shape {unif_points.shape}\\n'+str(unif_points))\n", + "ld_gauss = qmcpy.Gaussian(ld)\n", + "gauss_points = ld_gauss.gen_samples(2)\n", + "print(f'\\nLD Points with shape {gauss_points.shape}\\n'+str(gauss_points))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RKLIJy_U9v-2" + }, + "source": [ + "#### Replications with a fixed seed\n", + "\n", + "For debugging purposes, you may wish to fix the seed of your randomized points. This gives the advantage of an unchanging answer while avoiding the boundaries of the unit cube. When rerunning the code below, the answers are unchanged iff the seed is fixed. For Tony's stopping criterion from GAIL, the points are randomized, but the algorithm is deterministic. For the fixed-multilevel CLT stopping criterion, the points and the algorithm are both random." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "tSr40DWa4sYW", + "outputId": "127db88b-e93f-40ac-ec0e-383177055109" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Solution for GAIL stopping criterion with FIXED seed 1.8088685362448778\n", + "Solution for CLT stopping criterion with FIXED seed 1.806594507374441\n", + "Solution for GAIL stopping criterion 1.807944316997558\n", + "Solution for CLT stopping criterion 1.80672801265591\n" + ] + } + ], + "source": [ + "solution_G_fixed = qmcpy.CubQMCSobolG(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Sobol(2,seed=47),covariance=1/2))).integrate()[0]\n", + "solution_CLT_fixed = qmcpy.CubQMCCLT(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Sobol(2,seed=47,replications=15),covariance=1/2))).integrate()[0]\n", + "solution_G = qmcpy.CubQMCSobolG(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Sobol(2),covariance=1/2))).integrate()[0]\n", + "solution_CLT = qmcpy.CubQMCCLT(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Sobol(2,replications=15),covariance=1/2))).integrate()[0]\n", + "print(f'Solution for GAIL stopping criterion with FIXED seed {solution_G_fixed}')\n", + "print(f'Solution for CLT stopping criterion with FIXED seed {solution_CLT_fixed}')\n", + "print(f'Solution for GAIL stopping criterion {solution_G}')\n", + "print(f'Solution for CLT stopping criterion {solution_CLT}')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5GNVeK8n_v2b" + }, + "source": [ + "#### Help\n", + "\n", + "You can obtain help on any object by the ``help(...)`` or ``dir(...)`` commands." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MT_coxDLnfr4", + "outputId": "8d3d8f0f-bd40-440e-b991-6d129f732da0" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on class DigitalNetB2 in module qmcpy.discrete_distribution.digital_net_b2.digital_net_b2:\n", + "\n", + "class DigitalNetB2(qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractLDDiscreteDistribution)\n", + " | DigitalNetB2(dimension=1, replications=None, seed=None, randomize='LMS DS', generating_matrices='joe_kuo.6.21201.txt', order='RADICAL INVERSE', t=63, alpha=1, msb=None, _verbose=False, graycode=None, t_max=None, t_lms=None)\n", + " |\n", + " | Low discrepancy digital net in base 2.\n", + " |\n", + " | Note:\n", + " | - Digital net sample sizes should be powers of $2$ e.g. $1$, $2$, $4$, $8$, $16$, $\\dots$.\n", + " | - The first point of an unrandomized digital nets is the origin.\n", + " | - `Sobol` is an alias for `DigitalNetB2`.\n", + " | - To use higher order digital nets, either:\n", + " |\n", + " | - Pass in `generating_matrices` *without* interlacing and supply `alpha`>1 to apply interlacing, or\n", + " | - Pass in `generating_matrices` *with* interlacing and set `alpha=1` to avoid additional interlacing\n", + " |\n", + " | i.e. do *not* pass in interlaced `generating_matrices` and set `alpha>1`, this will apply additional interlacing.\n", + " |\n", + " | Examples:\n", + " | >>> discrete_distrib = DigitalNetB2(2,seed=7)\n", + " | >>> discrete_distrib(4)\n", + " | array([[0.72162356, 0.914955 ],\n", + " | [0.16345554, 0.42964856],\n", + " | [0.98676255, 0.03436384],\n", + " | [0.42956655, 0.55876342]])\n", + " | >>> discrete_distrib(1) # first point in the sequence\n", + " | array([[0.72162356, 0.914955 ]])\n", + " | >>> discrete_distrib\n", + " | DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " | d 2^(1)\n", + " | replications 1\n", + " | randomize LMS DS\n", + " | gen_mats_source joe_kuo.6.21201.txt\n", + " | order RADICAL INVERSE\n", + " | t 63\n", + " | alpha 1\n", + " | n_limit 2^(32)\n", + " | entropy 7\n", + " |\n", + " | Replications of independent randomizations\n", + " |\n", + " | >>> x = DigitalNetB2(dimension=3,seed=7,replications=2)(4)\n", + " | >>> x.shape\n", + " | (2, 4, 3)\n", + " | >>> x\n", + " | array([[[0.24653277, 0.1821862 , 0.74732591],\n", + " | [0.68152903, 0.66169442, 0.42891961],\n", + " | [0.48139855, 0.79818233, 0.08201287],\n", + " | [0.91541325, 0.29520621, 0.77495809]],\n", + " | \n", + " | [[0.44876891, 0.85899604, 0.50549679],\n", + " | [0.53635924, 0.04353443, 0.33564946],\n", + " | [0.23214143, 0.29281506, 0.06841036],\n", + " | [0.75295715, 0.60241448, 0.76962976]]])\n", + " |\n", + " | Different orderings (avoid warnings that the first point is the origin)\n", + " |\n", + " | >>> DigitalNetB2(dimension=2,randomize=False,order=\"GRAY\")(n_min=2,n_max=4,warn=False)\n", + " | array([[0.75, 0.25],\n", + " | [0.25, 0.75]])\n", + " | >>> DigitalNetB2(dimension=2,randomize=False,order=\"RADICAL INVERSE\")(n_min=2,n_max=4,warn=False)\n", + " | array([[0.25, 0.75],\n", + " | [0.75, 0.25]])\n", + " |\n", + " | Generating matrices from [https://github.com/QMCSoftware/LDData/tree/main/dnet](https://github.com/QMCSoftware/LDData/tree/main/dnet)\n", + " |\n", + " | >>> DigitalNetB2(dimension=3,randomize=False,generating_matrices=\"mps.nx_s5_alpha2_m32.txt\")(8,warn=False)\n", + " | array([[0. , 0. , 0. ],\n", + " | [0.75841841, 0.45284834, 0.48844557],\n", + " | [0.57679828, 0.13226272, 0.10061957],\n", + " | [0.31858402, 0.32113875, 0.39369111],\n", + " | [0.90278927, 0.45867532, 0.01803333],\n", + " | [0.14542431, 0.02548793, 0.4749614 ],\n", + " | [0.45587539, 0.33081476, 0.11474426],\n", + " | [0.71318879, 0.15377192, 0.37629925]])\n", + " |\n", + " | All randomizations\n", + " |\n", + " | >>> DigitalNetB2(dimension=3,randomize='LMS DS',seed=5)(8)\n", + " | array([[0.69346401, 0.20118185, 0.64779396],\n", + " | [0.43998032, 0.90102467, 0.0936172 ],\n", + " | [0.86663563, 0.60910036, 0.26043276],\n", + " | [0.11327376, 0.30772653, 0.93959283],\n", + " | [0.62102883, 0.79169756, 0.77051637],\n", + " | [0.37451038, 0.1231324 , 0.46634012],\n", + " | [0.94785596, 0.38577413, 0.13377215],\n", + " | [0.20121617, 0.71843325, 0.56293458]])\n", + " | >>> DigitalNetB2(dimension=3,randomize='LMS',seed=5)(8,warn=False)\n", + " | array([[0. , 0. , 0. ],\n", + " | [0.75446077, 0.83265937, 0.69584079],\n", + " | [0.42329494, 0.65793842, 0.90427279],\n", + " | [0.67763292, 0.48937304, 0.33344964],\n", + " | [0.18550714, 0.97332905, 0.3772791 ],\n", + " | [0.93104851, 0.17195496, 0.82311652],\n", + " | [0.26221346, 0.31742386, 0.53093284],\n", + " | [0.50787715, 0.5172669 , 0.2101083 ]])\n", + " | >>> DigitalNetB2(dimension=3,randomize='DS',seed=5)(8)\n", + " | array([[0.68383949, 0.04047995, 0.42903182],\n", + " | [0.18383949, 0.54047995, 0.92903182],\n", + " | [0.93383949, 0.79047995, 0.67903182],\n", + " | [0.43383949, 0.29047995, 0.17903182],\n", + " | [0.55883949, 0.66547995, 0.05403182],\n", + " | [0.05883949, 0.16547995, 0.55403182],\n", + " | [0.80883949, 0.41547995, 0.80403182],\n", + " | [0.30883949, 0.91547995, 0.30403182]])\n", + " | >>> DigitalNetB2(dimension=3,randomize='OWEN',seed=5)(8)\n", + " | array([[0.33595486, 0.05834975, 0.30066401],\n", + " | [0.89110875, 0.84905188, 0.81833285],\n", + " | [0.06846074, 0.59997956, 0.67064205],\n", + " | [0.6693703 , 0.25824002, 0.10469644],\n", + " | [0.44586618, 0.99161977, 0.1873488 ],\n", + " | [0.84245267, 0.16445553, 0.56544372],\n", + " | [0.18546359, 0.44859876, 0.97389524],\n", + " | [0.61215442, 0.64341386, 0.44529863]])\n", + " |\n", + " | Higher order net without randomization\n", + " |\n", + " | >>> DigitalNetB2(dimension=3,randomize='FALSE',seed=7,alpha=2)(4,warn=False)\n", + " | array([[0. , 0. , 0. ],\n", + " | [0.75 , 0.75 , 0.75 ],\n", + " | [0.4375, 0.9375, 0.1875],\n", + " | [0.6875, 0.1875, 0.9375]])\n", + " |\n", + " |\n", + " | Higher order nets with randomizations and replications\n", + " |\n", + " | >>> DigitalNetB2(dimension=3,randomize='LMS DS',seed=7,replications=2,alpha=2)(4,warn=False)\n", + " | array([[[0.42955149, 0.89149058, 0.43867111],\n", + " | [0.68701828, 0.07601148, 0.51312447],\n", + " | [0.10088033, 0.16293661, 0.25144138],\n", + " | [0.85846252, 0.87103178, 0.70041789]],\n", + " | \n", + " | [[0.27151905, 0.42406763, 0.21917369],\n", + " | [0.55035224, 0.67864387, 0.90033876],\n", + " | [0.19356758, 0.57589964, 0.00347701],\n", + " | [0.97235125, 0.32168581, 0.86920948]]])\n", + " | >>> DigitalNetB2(dimension=3,randomize='LMS',seed=7,replications=2,alpha=2)(4,warn=False)\n", + " | array([[[0. , 0. , 0. ],\n", + " | [0.75817062, 0.96603053, 0.94947625],\n", + " | [0.45367986, 0.80295638, 0.18778553],\n", + " | [0.71171791, 0.2295424 , 0.76175441]],\n", + " | \n", + " | [[0. , 0. , 0. ],\n", + " | [0.78664636, 0.75470215, 0.86876474],\n", + " | [0.45336727, 0.99953621, 0.22253579],\n", + " | [0.73996397, 0.24544824, 0.9008679 ]]])\n", + " | >>> DigitalNetB2(dimension=3,randomize='DS',seed=7,replications=2,alpha=2)(4)\n", + " | array([[[0.04386058, 0.58727432, 0.3691824 ],\n", + " | [0.79386058, 0.33727432, 0.6191824 ],\n", + " | [0.48136058, 0.39977432, 0.4316824 ],\n", + " | [0.73136058, 0.64977432, 0.6816824 ]],\n", + " | \n", + " | [[0.65212985, 0.69669968, 0.10605352],\n", + " | [0.40212985, 0.44669968, 0.85605352],\n", + " | [0.83962985, 0.25919968, 0.16855352],\n", + " | [0.08962985, 0.50919968, 0.91855352]]])\n", + " | >>> DigitalNetB2(dimension=3,randomize='OWEN',seed=7,replications=2,alpha=2)(4)\n", + " | array([[[0.46368517, 0.03964427, 0.62172094],\n", + " | [0.7498683 , 0.76141348, 0.4243043 ],\n", + " | [0.01729754, 0.97968459, 0.65963223],\n", + " | [0.75365329, 0.1903774 , 0.34141493]],\n", + " | \n", + " | [[0.52252547, 0.5679709 , 0.05949112],\n", + " | [0.27248656, 0.36488289, 0.81844058],\n", + " | [0.94219959, 0.39172304, 0.20285965],\n", + " | [0.19716391, 0.64741585, 0.92494554]]])\n", + " |\n", + " | **References:**\n", + " |\n", + " | 1. Marius Hofert and Christiane Lemieux.\n", + " | qrng: (Randomized) Quasi-Random Number Generators (2019).\n", + " | R package version 0.0-7.\n", + " | [https://CRAN.R-project.org/package=qrng](https://CRAN.R-project.org/package=qrng).\n", + " |\n", + " | 2. Faure, Henri, and Christiane Lemieux.\n", + " | Implementation of Irreducible Sobol' Sequences in Prime Power Bases.\n", + " | Mathematics and Computers in Simulation 161 (2019): 13-22. Crossref. Web.\n", + " |\n", + " | 3. F.Y. Kuo, D. Nuyens.\n", + " | Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients \\- a survey of analysis and implementation.\n", + " | Foundations of Computational Mathematics, 16(6):1631-1696, 2016.\n", + " | [https://link.springer.com/article/10.1007/s10208-016-9329-5](https://link.springer.com/article/10.1007/s10208-016-9329-5).\n", + " |\n", + " | 4. D. Nuyens.\n", + " | The Magic Point Shop of QMC point generators and generating vectors.\n", + " | MATLAB and Python software, 2018.\n", + " | [https://people.cs.kuleuven.be/~dirk.nuyens/](https://people.cs.kuleuven.be/~dirk.nuyens/).\n", + " |\n", + " | 5. R. Cools, F.Y. Kuo, D. Nuyens.\n", + " | Constructing embedded lattice rules for multivariate integration.\n", + " | SIAM J. Sci. Comput., 28(6), 2162-2188.\n", + " |\n", + " | 6. I.M. Sobol', V.I. Turchaninov, Yu.L. Levitan, B.V. Shukhman.\n", + " | Quasi-Random Sequence Generators.\n", + " | Keldysh Institute of Applied Mathematics.\n", + " | Russian Academy of Sciences, Moscow (1992).\n", + " |\n", + " | 7. Sobol, Ilya & Asotsky, Danil & Kreinin, Alexander & Kucherenko, Sergei. (2011).\n", + " | Construction and Comparison of High-Dimensional Sobol' Generators. Wilmott. 2011.\n", + " | [10.1002/wilm.10056](https://onlinelibrary.wiley.com/doi/abs/10.1002/wilm.10056).\n", + " |\n", + " | 8. Paul Bratley and Bennett L. Fox.\n", + " | Algorithm 659: Implementing Sobol's quasirandom sequence generator.\n", + " | ACM Trans. Math. Softw. 14, 1 (March 1988), 88-100. 1988.\n", + " | [https://doi.org/10.1145/42288.214372](https://doi.org/10.1145/42288.2143720).\n", + " |\n", + " | Method resolution order:\n", + " | DigitalNetB2\n", + " | qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractLDDiscreteDistribution\n", + " | qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractDiscreteDistribution\n", + " | builtins.object\n", + " |\n", + " | Methods defined here:\n", + " |\n", + " | __init__(self, dimension=1, replications=None, seed=None, randomize='LMS DS', generating_matrices='joe_kuo.6.21201.txt', order='RADICAL INVERSE', t=63, alpha=1, msb=None, _verbose=False, graycode=None, t_max=None, t_lms=None)\n", + " | Args:\n", + " | dimension (Union[int, np.ndarray]): Dimension of the generator.\n", + " |\n", + " | - If an `int` is passed in, use generating vector components at indices 0,...,`dimension`-1.\n", + " | - If an `np.ndarray` is passed in, use generating vector components at these indices.\n", + " |\n", + " | replications (int): Number of independent randomizations of a pointset.\n", + " | seed (Union[None, int, np.random.SeedSeq]): Seed the random number generator for reproducibility.\n", + " | randomize (str): Options are\n", + " |\n", + " | - `'LMS DS'`: Linear matrix scramble with digital shift.\n", + " | - `'LMS'`: Linear matrix scramble only.\n", + " | - `'DS'`: Digital shift only.\n", + " | - `'NUS'`: Nested uniform scrambling. Also known as Owen scrambling.\n", + " | - `'FALSE'`: No randomization. In this case the first point will be the origin.\n", + " |\n", + " | generating_matrices (Union[str, np.ndarray, int]): Specify the generating matrices.\n", + " |\n", + " | - A `str` should be the name (or path) of a file from the LDData repo at [https://github.com/QMCSoftware/LDData/tree/main/dnet](https://github.com/QMCSoftware/LDData/tree/main/dnet).\n", + " | - An `np.ndarray` of integers with shape $(d,m_\\mathrm{max})$ or $(r,d,m_\\mathrm{max})$ where $d$ is the number of dimensions, $r$ is the number of replications, and $2^{m_\\mathrm{max}}$ is the maximum number of supported points. Setting `msb=False` will flip the bits of ints in the generating matrices.\n", + " |\n", + " | order (str): `'RADICAL INVERSE'`, or `'GRAY'` ordering. See the doctest example above.\n", + " | t (int): Number of bits in integer represetation of points *after* randomization. The number of bits in the generating matrices is inferred based on the largest value.\n", + " | alpha (int): Interlacing factor for higher order nets.\n", + " | When `alpha`>1, interlacing is performed regardless of the generating matrices,\n", + " | i.e., for `alpha`>1 do *not* pass in generating matrices which are already interlaced.\n", + " | The Note for this class contains more info.\n", + " | msb (bool): Flag for Most Significant Bit (MSB) vs Least Significant Bit (LSB) integer representations in generating matrices. If `msb=False` (LSB order), then integers in generating matrices will be bit-reversed.\n", + " | _verbose (bool): If `True`, print linear matrix scrambling matrices.\n", + " |\n", + " | ----------------------------------------------------------------------\n", + " | Methods inherited from qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractLDDiscreteDistribution:\n", + " |\n", + " | __repr__(self)\n", + " | Return repr(self).\n", + " |\n", + " | ----------------------------------------------------------------------\n", + " | Methods inherited from qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractDiscreteDistribution:\n", + " |\n", + " | __call__(self, n=None, n_min=None, n_max=None, return_binary=False, warn=True)\n", + " | - If just `n` is supplied, generate samples from the sequence at indices 0,...,`n`-1.\n", + " | - If `n_min` and `n_max` are supplied, generate samples from the sequence at indices `n_min`,...,`n_max`-1.\n", + " | - If `n` and `n_min` are supplied, then generate samples from the sequence at indices `n`,...,`n_min`-1.\n", + " |\n", + " | Args:\n", + " | n (Union[None,int]): Number of points to generate.\n", + " | n_min (Union[None,int]): Starting index of sequence.\n", + " | n_max (Union[None,int]): Final index of sequence.\n", + " | return_binary (bool): Only used for `DigitalNetB2`.\n", + " | If `True`, *only* return the integer representation `x_integer` of base 2 digital net.\n", + " | warn (bool): If `False`, disable warnings when generating samples.\n", + " |\n", + " | Returns:\n", + " | x (np.ndarray): Samples from the sequence.\n", + " |\n", + " | - If `replications` is `None` then this will be of size (`n_max`-`n_min`) $\\times$ `dimension`\n", + " | - If `replications` is a positive int, then `x` will be of size `replications` $\\times$ (`n_max`-`n_min`) $\\times$ `dimension`\n", + " |\n", + " | Note that if `return_binary=True` then `x` is returned where `x` are integer representations of the digital net points.\n", + " |\n", + " | gen_samples(self, n=None, n_min=None, n_max=None, return_binary=False, warn=True)\n", + " |\n", + " | pdf(self, x)\n", + " |\n", + " | spawn(self, s=1, dimensions=None)\n", + " | Spawn new instances of the current discrete distribution but with new seeds and dimensions.\n", + " | Used by multi-level QMC algorithms which require different seeds and dimensions on each level.\n", + " |\n", + " | Note:\n", + " | Use `replications` instead of using `spawn` when possible, e.g., when spawning copies which all have the same dimension.\n", + " |\n", + " | Args:\n", + " | s (int): Number of copies to spawn\n", + " | dimensions (np.ndarray): Length `s` array of dimensions for each copy. Defaults to the current dimension.\n", + " |\n", + " | Returns:\n", + " | spawned_discrete_distribs (list): Discrete distributions with new seeds and dimensions.\n", + " |\n", + " | ----------------------------------------------------------------------\n", + " | Data descriptors inherited from qmcpy.discrete_distribution.abstract_discrete_distribution.AbstractDiscreteDistribution:\n", + " |\n", + " | __dict__\n", + " | dictionary for instance variables\n", + " |\n", + " | __weakref__\n", + " | list of weak references to the object\n", + "\n" + ] + }, + { + "data": { + "text/plain": [ + "['__call__',\n", + " '__class__',\n", + " '__delattr__',\n", + " '__dict__',\n", + " '__dir__',\n", + " '__doc__',\n", + " '__eq__',\n", + " '__format__',\n", + " '__ge__',\n", + " '__getattribute__',\n", + " '__getstate__',\n", + " '__gt__',\n", + " '__hash__',\n", + " '__init__',\n", + " '__init_subclass__',\n", + " '__le__',\n", + " '__lt__',\n", + " '__module__',\n", + " '__ne__',\n", + " '__new__',\n", + " '__reduce__',\n", + " '__reduce_ex__',\n", + " '__repr__',\n", + " '__setattr__',\n", + " '__sizeof__',\n", + " '__str__',\n", + " '__subclasshook__',\n", + " '__weakref__',\n", + " '_gen_samples',\n", + " '_spawn',\n", + " 'gen_samples',\n", + " 'pdf',\n", + " 'spawn']" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "help(qmcpy.Sobol)\n", + "dir(qmcpy.Sobol)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Dogw4vktLGmK" + }, + "source": [ + "### Stopping criteria\n", + "\n", + "[GAIL]: http://gailgithub.github.io/GAIL_Dev/ \"Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell, Lan Jiang, Lluis Antoni Jimenez Rugama, Da Li, Jagadeeswaran Rathinavel, Xin Tong, Kan Zhang, Yizhi Zhang, and Xuan Zhou, GAIL: Guaranteed Automatic Integration Library (Version 2.3.1) [MATLAB Software], 2020. Available from `http://gailgithub.github.io/GAIL_Dev/`\"\n", + "\n", + "\n", + "[CubMCML]: https://pubsonline.informs.org/doi/abs/10.1287/opre.1070.0496 \"Giles, M. Multilevel Monte Carlo Path Simulation. Operations Research 56,607–617 (June 2008).\"\n", + "\n", + "[CubQMCML]: https://www.semanticscholar.org/paper/Multilevel-quasi-Monte-Carlo-path-simulation-Giles-Waterhouse/25a9ca3aa216aa371d1be06fa9b93927187ee4ca \"Giles, M. B. & Waterhouse, B. J. Multilevel quasi-Monte Carlo path simulation. Advanced Financial Modelling, Radon Series on Computational and Applied Mathematics 8,165–181 (2009).\"\n", + "\n", + "[GilesSoftware]: http://people.maths.ox.ac.uk/~gilesm/mlmc/\n", + "\n", + "[CubMCG]: https://arxiv.org/abs/1208.4318 \"Hickernell, F.J., Jiang, L., Liu, Y., & Owen, A. Guaranteed Conservative Fixed Width Confidence Intervals via Monte Carlo Sampling in Monte Carlo and Quasi-Monte Carlo Methods 2012 (eds Dick, J., Kuo, F. Y., Peters, G. W., & Sloan, I. H.)\n", + "Springer Proceedings in Mathematics and Statistics, vol. 65, (Springer-Verlag, Berlin, 2013), 105–128.\"\n", + "\n", + "[CubQMCLatticeG]: https://arxiv.org/abs/1411.1966 \"Jiménez Rugama, Ll. A. & Hickernell, F. J. Adaptive Multidimensional Integration Based on Rank-1 Lattices in Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (eds Cools, R. & Nuyens,D.) 163.arXiv:1411.1966 (Springer-Verlag, Berlin, 2016), 407–422.\"\n", + "\n", + "[CubQMCSobolG]: https://arxiv.org/abs/1410.8615 \"Hickernell, F. J. & Jiménez Rugama, Ll. A. Reliable Adaptive Cubature Using Digital Sequences in Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (eds Cools, R. & Nuyens,D.) 163.arXiv:1411.1966 (Springer-Verlag, Berlin, 2016), 367--383.\"\n", + "\n", + "\n", + "The stopping criteria implemented come from several sources:\n", + "- There are Central Limit Theorem (CLT) criteria for IID and LD sampling\n", + "- Rigorous stopping criteria imported from [GAIL] have been implemented for\n", + " - [IID][CubMCG] sampling\n", + " - [Lattice][CubQMCLatticeG] sampling\n", + " - [Sobol'][CubQMCSobolG] sampling\n", + "- Multilevel stopping criteria due to [Giles][GilesSoftware] are given for [IID][CubMCML] and [LD][CubQMCML] sampling" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3yQgB-Y1f_AQ" + }, + "source": [ + "#### Changing the tolerance\n", + "\n", + "If you want to change the error tolerance, without creating a new ``StoppingCriterion`` object, there is a ``set_tolerance`` method." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "kvsEiUG55mEi", + "outputId": "43765bc9-fede-4129-f83f-d60d0bb06adf" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 1.135\n", + " comb_bound_low 1.129\n", + " comb_bound_high 1.142\n", + " comb_bound_diff 0.012\n", + " comb_flags 1\n", + " n_total 2^(13)\n", + " n 2^(13)\n", + " time_integrate 0.007\n", + "CubQMCLatticeG (AbstractStoppingCriterion)\n", + " abs_tol 0.010\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(30)\n", + "Keister (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + " transform Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + "Lattice (AbstractLDDiscreteDistribution)\n", + " d 5\n", + " replications 1\n", + " randomize SHIFT\n", + " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", + " order RADICAL INVERSE\n", + " n_limit 2^(20)\n", + " entropy 7 \n", + "\n", + "\n", + "Data (Data)\n", + " solution 1.136\n", + " comb_bound_low 1.135\n", + " comb_bound_high 1.136\n", + " comb_bound_diff 0.001\n", + " comb_flags 1\n", + " n_total 2^(17)\n", + " n 2^(17)\n", + " time_integrate 0.040\n", + "CubQMCLatticeG (AbstractStoppingCriterion)\n", + " abs_tol 0.001\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(30)\n", + "Keister (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + " transform Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + "Lattice (AbstractLDDiscreteDistribution)\n", + " d 5\n", + " replications 1\n", + " randomize SHIFT\n", + " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", + " order RADICAL INVERSE\n", + " n_limit 2^(20)\n", + " entropy 7 \n", + "\n", + "\n" + ] + } + ], + "source": [ + "sc = qmcpy.CubQMCLatticeG(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Lattice(5,seed=7),covariance=1/2)),abs_tol=.01)\n", + "print(sc.integrate()[1],'\\n\\n')\n", + "sc.set_tolerance(abs_tol=.001) #changing the tolerance\n", + "print(sc.integrate()[1],'\\n\\n')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5xDmWnPHE-qY" + }, + "source": [ + "#### Relative error tolerances\n", + "\n", + "For some problems a relative error tolerance may make more sense. By default ``rel_tol`` is zero. The stopping criterion stops when either of the two tolerances is met." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "FpKNsUzFFVyt", + "outputId": "0a71942d-b3cc-4833-eba5-17d291bf536d" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution 1.135\n", + " comb_bound_low 1.129\n", + " comb_bound_high 1.142\n", + " comb_bound_diff 0.012\n", + " comb_flags 1\n", + " n_total 2^(13)\n", + " n 2^(13)\n", + " time_integrate 0.004\n", + "CubQMCLatticeG (AbstractStoppingCriterion)\n", + " abs_tol 0.010\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(30)\n", + "Keister (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + " transform Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + "Lattice (AbstractLDDiscreteDistribution)\n", + " d 5\n", + " replications 1\n", + " randomize SHIFT\n", + " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", + " order RADICAL INVERSE\n", + " n_limit 2^(20)\n", + " entropy 7 \n", + "\n", + "\n", + "Data (Data)\n", + " solution 1.135\n", + " comb_bound_low 1.131\n", + " comb_bound_high 1.139\n", + " comb_bound_diff 0.008\n", + " comb_flags 1\n", + " n_total 2^(14)\n", + " n 2^(14)\n", + " time_integrate 0.006\n", + "CubQMCLatticeG (AbstractStoppingCriterion)\n", + " abs_tol 0\n", + " rel_tol 0.005\n", + " n_init 2^(10)\n", + " n_limit 2^(30)\n", + "Keister (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + " transform Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 2^(-1)\n", + " decomp_type PCA\n", + "Lattice (AbstractLDDiscreteDistribution)\n", + " d 5\n", + " replications 1\n", + " randomize SHIFT\n", + " gen_vec_source kuo.lattice-33002-1024-1048576.9125.txt\n", + " order RADICAL INVERSE\n", + " n_limit 2^(20)\n", + " entropy 7\n" + ] + } + ], + "source": [ + "sc = qmcpy.CubQMCLatticeG(qmcpy.Keister(qmcpy.Gaussian(qmcpy.Lattice(5,seed=7),covariance=1/2)),abs_tol=.01) #zero relative tolerance by default\n", + "print(sc.integrate()[1],'\\n\\n')\n", + "sc.set_tolerance(abs_tol=0,rel_tol=0.005) #nonzero relative tolerance and zero absolute tolerance\n", + "print(sc.integrate()[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "vJH-4-_1LMOH" + }, + "source": [ + "### Use cases\n", + "\n", + "Only a few use cases have been coded so far. These include\n", + "* ``qmcpy.keister`` Keiser's example\n", + "* European and Asian option pricing (Single and Multi-level)\n", + "* Computing Q-Noisy Expected Improvement (qEI) for Bayesian Optimization, see the blog at https://qmcpy.wpcomstaging.com/2020/07/19/qei-with-qmcpy/ and the Colaboratory notebook at https://drive.google.com/drive/folders/1EOREUL7lx4hytuZRQXB50UV8aE9JYN_a\n", + "* Importance Sampling\n", + "* Acceptance Rejection Sampling\n", + "* Custom Sampling by Inverse CDF Transform\n", + "\n", + "``qmcpy`` would benefit from contributions.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "YGwMtWj_Wa41" + }, + "source": [ + "## Acknowledgements and Contributing\n", + "\n", + "The ``qmcpy`` code has primarily been written by Aleksei Sorokin (BS/MS expected in 2021), with the generous financial support of SigOpt https://sigopt.com. However, much of the code is adapted from that of our friends (see above)\n", + "\n", + "We hope that QMCPy will become supported by the community. Your contribution will add value to QMCPy, while allowing you to take advantage of the contribution of others.\n", + "\n", + "We highlight the value of community owned software." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "LZkzVU91mJ_1" + }, + "source": [ + "### Benefitting from each other's work is easier when we share\n", + "\n", + "* Most of us are very good at just one or two things:\n", + " * LD sequence generators\n", + " * Increasing efficiency (e.g., MLMC)\n", + " * Stopping criteria\n", + " * Realistic use cases\n", + "\n", + " Having a shared software library let's us take advantage of the best\n", + "\n", + "* Provides a consistent interface for different pieces from different places\n", + "\n", + "* Supports reproducible computational research\n", + "\n", + "* Tedious stuff only needs to be figured out once" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "8Gem3kfF6qFt" + }, + "source": [ + "### A community helps find and correct code errors\n", + "\n", + "By having more eyes on code than just the developer's we are more likely to spot errors or idiosyncracies. Here are two examples." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "OFUXDQWu63T9" + }, + "source": [ + "#### MATLAB's Sobol' generator\n", + "\n", + "Several years ago Lluís Antoni Jiménez Rugama discovered that the scrambling of the Sobol' generators implemented in MATLAB's Statistics Toolbox was wrong. After reporting the problem to the developers, it was corrected in MATLAB 2017a" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "tOtbO49TSXbS" + }, + "source": [ + "#### PyTorch's Sobol' generator\n", + "\n", + "PyTorch is a popular Python library with its own Sobol generator. However, it should be used with care.\n", + "\n", + "* As noted above, the first point is skipped. \n", + "* We found that unless you specify double precision, you get points that have 1 as a coordinate far too often. The developer seemed unaware of this.\n", + "\n", + "These issues have been reported at https://github.com/pytorch/pytorch/issues/32047.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "9KVfvHiym6Pp" + }, + "source": [ + "###How you can contribute\n", + "\n", + "After trying QMCPy out help us out by\n", + "\n", + "**Easy.**
\n", + "> Submit your bugs and feature requests as issues to https://github.com/QMCSoftware/QMCSoftware/issues\n", + "\n", + "**Moderately Difficult.**
\n", + "> Ask your students or collaborators to try QMCPy for their own work and submit their bugs and feature requests\n", + "\n", + "**Heroic.**
\n", + "> Add a feature or use case and make a pull request at https://github.com/QMCSoftware/QMCSoftware/pulls so that we can included it in our next release\n", + "\n", + "Questions? Email us at qmc-software@googlegroups.com\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "1q5YeKPMAVuW" + }, + "source": [ + "## References\n", + "\n", + "1. S.-C. T. Choi, Y. Ding, F. J. Hickernell, L. Jiang, Ll. A. Jimenez Rugama, D. Li, Jagadeeswaran R., X. Tong, K. Zhang, Y. Zhang, and X. Zhou, GAIL: Guaranteed Automatic Integration Library (Version 2.3.1) [MATLAB Software], 2020. Available from `http://gailgithub.github.io/GAIL_Dev/`\n", + "\n", + "1. H. Faure and C. Lemieux. “Implementation of Irreducible Sobol’ Sequences in Prime Power Bases,” Mathematics and Computers in Simulation 161 (2019): 13–22.\n", + "\n", + "1. M. B. Giles. \"Multi-level Monte Carlo path simulation,\" Operations Research, 56(3):607-617, 2008. `http://people.maths.ox.ac.uk/~gilesm/files/OPRE_2008.pdf`.\n", + "\n", + "1. M. B. Giles. \"Improved multilevel Monte Carlo convergence using the Milstein scheme,\" 343-358, in Monte Carlo and Quasi-Monte Carlo Methods 2006, Springer, 2008. `http://people.maths.ox.ac.uk/~gilesm/files/mcqmc06.pdf`.\n", + "\n", + "1. M. B. Giles and B. J. Waterhouse. \"Multilevel quasi-Monte Carlo path simulation,\" pp.165-181 in Advanced Financial Modelling, in Radon Series on Computational and Applied Mathematics, de Gruyter, 2009. `http://people.maths.ox.ac.uk/~gilesm/files/radon.pdf`\n", + "\n", + "1. F. J. Hickernell, L. Jiang, Y. Liu, and A. B. Owen, \"Guaranteed conservative fixed width confidence intervals via Monte Carlo sampling,\" Monte Carlo and Quasi-Monte Carlo Methods 2012 (J. Dick, F.Y. Kuo, G. W. Peters, and I. H. Sloan, eds.), pp. 105-128, Springer-Verlag, Berlin, 2014. DOI: 10.1007/978-3-642-41095-6_5\n", + "\n", + "1. F. J. Hickernell and Lluis Antoni Jimenez Rugama, \"Reliable adaptive cubature using digital sequences,\" Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (R. Cools and D. Nuyens, eds.), Springer Proceedings in Mathematics and Statistics, vol. 163, Springer-Verlag, Berlin, 2016, arXiv:1410.8615 [math.NA], pp. 367-383.\n", + "\n", + "1. M. Hofert and C. Lemieux (2019). qrng: (Randomized) Quasi-Random Number Generators. R package version 0.0-7. `https://CRAN.R-project.org/package=qrng`.\n", + "\n", + "1. Ll. A. Jimenez Rugama and F. J. Hickernell, \"Adaptive multidimensional integration based on rank-1 lattices,\" Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014 (R. Cools and D. Nuyens, eds.), Springer Proceedings in Mathematics and Statistics, vol. 163, Springer-Verlag, Berlin, 2016, arXiv:1411.1966, pp. 407-422.\n", + "\n", + "1. B. D. Keister, Multidimensional Quadrature Algorithms, 'Computers in Physics', *10*, pp. 119-122, 1996.\n", + "\n", + "1. F. Y. Kuo and D. Nuyens. \"Application of quasi-Monte Carlo methods to elliptic PDEs with random diffusion coefficients - a survey of analysis and implementation,\" Foundations of Computational Mathematics, 16(6):1631-1696, 2016. ([springer link](https://link.springer.com/article/10.1007/s10208-016-9329-5), [arxiv link](https://arxiv.org/abs/1606.06613))\n", + "\n", + "1. P. L’Ecuyer and D. Munger, \"LatticeBuilder: A General Software Tool for Constructing Rank-1 Lattice Rules,\" ACM Transactions on Mathematical Software. *42* (2015). 10.1145/2754929.\n", + "\n", + "1. Y. Li, L. Kang, L., and F. J. Hickernell, Is a Transformed Low Discrepancy Design Also Low Discrepancy? in Contemporary Experimental Design, Multivariate Analysis and Data Mining, Festschrift in Honour of Professor Kai-Tai Fang (J. Fan and J. Pan, eds.), p. 69–92, 2020, https://arxiv.org/abs/2004.09887.\n", + "\n", + "1. A. B. Owen, \"A randomized Halton algorithm in R,\" 2017. arXiv:1706.02808 [stat.CO]\n", + "\n" + ] + } + ], + "metadata": { + "colab": { + "provenance": [], + "toc_visible": true + }, + "kernelspec": { + "display_name": "qmcpy", + "language": "python", + "name": "python3" }, - "nbformat": 4, - "nbformat_minor": 0 + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 } diff --git a/demos/talk_paper_demos/Parslfest_2025/01_sequential.ipynb b/demos/talk_paper_demos/Parslfest_2025/01_sequential.ipynb index 3367a9ff2..fc0abf424 100644 --- a/demos/talk_paper_demos/Parslfest_2025/01_sequential.ipynb +++ b/demos/talk_paper_demos/Parslfest_2025/01_sequential.ipynb @@ -23,6 +23,27 @@ "Our presentation slides for ParslFest are available at [Figma](https://www.figma.com/slides/k7EUosssNluMihkYTLuh1F/Parsl-Testbook-Speedup?node-id=174-95&t=t3jENVMltXWwdLdb-0)." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/Parslfest_2025/01_sequential.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb b/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb index 0f689a62f..3db33f15a 100644 --- a/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb +++ b/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb @@ -2,26 +2,9 @@ "cells": [ { "cell_type": "markdown", - "id": "37dc281d", "metadata": {}, "source": [ - "# [ParslFest 2025](https://parsl-project.org/parslfest/parslfest2025.html)\n", - "\n", - "# [Accelerating QMCPy Notebook Tests with Parsl](https://www.figma.com/slides/k7EUosssNluMihkYTLuh1F/Parsl-Testbook-Speedup?node-id=1-37&t=WnKcu2QYO8JXvtpP-0)\n", - "\n", - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb)\n", - "\n", - "Joshua Herman, Brandon Sharp, and Sou-Cheng Choi, QMCPy Developers\n", - "\n", - "Aug 28 -- 29, 2025\n", - "\n", - "Updated: Dec 3, 2025\n", - "\n", - "\n", - "**Requirements**:\n", - "\n", - "* testbook : `pip install testbook==0.4.2`\n", - "* Parsl: `pip install parsl==2025.7.28`" + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/Parslfest_2025/02_parallel.ipynb)" ] }, { @@ -30,11 +13,20 @@ "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", + " import sys\n", + " import os\n", + " repo_root = \"/content/QMCSoftware\"\n", + " notebook_dir = f\"{repo_root}/demos/talk_paper_demos/Parslfest_2025\"\n", + " if not os.path.isdir(repo_root):\n", + " !git clone -q --depth 1 https://github.com/QMCSoftware/QMCSoftware {repo_root}\n", " !pip install -q qmcpy\n", + " !pip install -q parsl\n", + " os.chdir(notebook_dir)\n", + " if notebook_dir not in sys.path:\n", + " sys.path.insert(0, notebook_dir)\n", "except:\n", " pass" ] diff --git a/demos/talk_paper_demos/Parslfest_2025/03_visualize_speedup.ipynb b/demos/talk_paper_demos/Parslfest_2025/03_visualize_speedup.ipynb index 6e50f0b4f..078002436 100644 --- a/demos/talk_paper_demos/Parslfest_2025/03_visualize_speedup.ipynb +++ b/demos/talk_paper_demos/Parslfest_2025/03_visualize_speedup.ipynb @@ -1,5 +1,35 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/Parslfest_2025/03_visualize_speedup.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " import sys\n", + " import os\n", + " repo_root = \"/content/QMCSoftware\"\n", + " notebook_dir = f\"{repo_root}/demos/talk_paper_demos/Parslfest_2025\"\n", + " if not os.path.isdir(repo_root):\n", + " !git clone -q --depth 1 https://github.com/QMCSoftware/QMCSoftware {repo_root}\n", + " !pip install -q qmcpy\n", + " os.chdir(notebook_dir)\n", + " if notebook_dir not in sys.path:\n", + " sys.path.insert(0, notebook_dir)\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/talk_paper_demos/Parslfest_2025/output/01_sequential_output.ipynb b/demos/talk_paper_demos/Parslfest_2025/output/01_sequential_output.ipynb index 14b2f7d33..b047fdd0b 100644 --- a/demos/talk_paper_demos/Parslfest_2025/output/01_sequential_output.ipynb +++ b/demos/talk_paper_demos/Parslfest_2025/output/01_sequential_output.ipynb @@ -23,6 +23,27 @@ "Our presentation slides for ParslFest are available at [Figma](https://www.figma.com/slides/k7EUosssNluMihkYTLuh1F/Parsl-Testbook-Speedup?node-id=174-95&t=t3jENVMltXWwdLdb-0)." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/Parslfest_2025/output/01_sequential_output.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/talk_paper_demos/SorokinThesis2025/sorokin_thesis_2025.ipynb b/demos/talk_paper_demos/SorokinThesis2025/sorokin_thesis_2025.ipynb index 25765ec0d..0a27921b6 100644 --- a/demos/talk_paper_demos/SorokinThesis2025/sorokin_thesis_2025.ipynb +++ b/demos/talk_paper_demos/SorokinThesis2025/sorokin_thesis_2025.ipynb @@ -9,6 +9,27 @@ "https://www.arxiv.org/abs/2511.21915" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/SorokinThesis2025/sorokin_thesis_2025.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/talk_paper_demos/pydata_chi_2023.ipynb b/demos/talk_paper_demos/pydata_chi_2023.ipynb index 54b117eb3..aa27bd624 100644 --- a/demos/talk_paper_demos/pydata_chi_2023.ipynb +++ b/demos/talk_paper_demos/pydata_chi_2023.ipynb @@ -22,6 +22,27 @@ "- $f: [0,1]^d \\to \\mathbb{R}$, transformed integrand" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/pydata_chi_2023.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "attachments": {}, "cell_type": "markdown", diff --git a/demos/talk_paper_demos/why_add_q_to_mc_blog/why_add_q_to_mc_blog.ipynb b/demos/talk_paper_demos/why_add_q_to_mc_blog/why_add_q_to_mc_blog.ipynb index 8709729c3..acafe6061 100644 --- a/demos/talk_paper_demos/why_add_q_to_mc_blog/why_add_q_to_mc_blog.ipynb +++ b/demos/talk_paper_demos/why_add_q_to_mc_blog/why_add_q_to_mc_blog.ipynb @@ -1,5 +1,26 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/talk_paper_demos/why_add_q_to_mc_blog/why_add_q_to_mc_blog.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/vectorized_qmc.ipynb b/demos/vectorized_qmc.ipynb index be27078d8..18dacbd10 100644 --- a/demos/vectorized_qmc.ipynb +++ b/demos/vectorized_qmc.ipynb @@ -1,1298 +1,1282 @@ { - "cells": [ - { - "cell_type": "markdown", - "id": "ce064a42", - "metadata": { - "id": "ce064a42" - }, - "source": [ - "# Vectorized QMC" - ] - }, - { - "cell_type": "markdown", - "id": "6df4c2a4-92ec-437e-80a1-28a82ea6544b", - "metadata": { - "id": "6df4c2a4-92ec-437e-80a1-28a82ea6544b" - }, - "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/vectorized_qmc.ipynb)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "P32_5cVWUmzj", - "metadata": { - "id": "P32_5cVWUmzj" - }, - "outputs": [], - "source": [ - "%%capture\n", - "# @title Execute this cell to install dependencies\n", - "try:\n", - " import google.colab\n", - " !pip install -q qmcpy\n", - " !apt-get update && apt-get install -y --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", - "except:\n", - " pass\n", - "\n", - "import matplotlib.pyplot as plt\n", - "\n", - "plt.rcParams.update({\n", - "\"text.usetex\": True,\n", - "\"font.family\": \"serif\",\n", - "\"text.latex.preamble\": r\"\\usepackage{amsmath}\\usepackage{amssymb}\\newcommand{\\bx}{\\boldsymbol{x}}\"\n", - "})" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "484d4c41", - "metadata": { - "id": "484d4c41" - }, - "outputs": [], - "source": [ - "import qmcpy as qp\n", - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9bf10463", - "metadata": { - "id": "9bf10463" - }, - "outputs": [], - "source": [ - "from matplotlib import pyplot\n", - "%matplotlib inline\n", - "root = None#'./'" - ] - }, - { - "cell_type": "markdown", - "id": "728a1c89", - "metadata": { - "id": "728a1c89" - }, - "source": [ - "## LD Sequence" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "fabaf64c", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 282 - }, - "id": "fabaf64c", - "outputId": "7e9be5a7-30ff-450c-9ac8-026e191931e7" - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "n = 2**6\n", - "s = 10\n", - "fig,ax = pyplot.subplots(figsize=(8,4),nrows=1,ncols=3)\n", - "for i,(dd,name) in enumerate(zip(\n", - " [qp.IIDStdUniform(2,seed=7),qp.DigitalNetB2(2,seed=7),qp.Lattice(2,seed=7)],\n", - " ['IID','Randomized Digital Net (LD)','Randomized Lattice (LD)'])):\n", - " pts = dd.gen_samples(n)\n", - " ax[i].scatter(pts[0:n//4,0],pts[0:n//4,1],color='k',marker='s',s=s)\n", - " ax[i].scatter(pts[n//4:n//2,0],pts[n//4:n//2,1],color='k',marker='o',s=s)\n", - " ax[i].scatter(pts[n//2:n,0],pts[n//2:n,1],color='k',marker='^',s=s)\n", - " ax[i].set_aspect(1)\n", - " ax[i].set_xlabel(r'$x_{1}$')\n", - " ax[i].set_ylabel(r'$x_{2}$')\n", - " ax[i].set_xlim([0,1])\n", - " ax[i].set_ylim([0,1])\n", - " ax[i].set_xticks([0,.25,.5,.75,1])\n", - " ax[i].set_xticklabels([r'$0$',r'$1/4$',r'$1/2$',r'$3/4$',r'$1$'])\n", - " ax[i].set_yticks([0,.25,.5,.75,1])\n", - " ax[i].set_yticklabels([r'$0$',r'$1/4$',r'$1/2$',r'$3/4$',r'$1$'])\n", - " ax[i].set_title(name)\n", - "if root: fig.savefig(root+'ld_seqs.pdf',transparent=True)" - ] - }, - { - "cell_type": "markdown", - "id": "1aa7b935", - "metadata": { - "id": "1aa7b935" - }, - "source": [ - "## Simple Example" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "df5b8a1b", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "df5b8a1b", - "outputId": "d3c9d8f7-777b-4058-f62d-2c6bbf4f196f" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution [2.426e+00 3.750e+04]\n", - " comb_bound_low [2.425e+00 3.750e+04]\n", - " comb_bound_high [2.427e+00 3.750e+04]\n", - " comb_bound_diff [0.002 0.041]\n", - " comb_flags [ True True]\n", - " n_total 2^(18)\n", - " n [ 1024 262144]\n", - " time_integrate 0.060\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.001\n", - " rel_tol 1.00e-06\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "CustomFun (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean [2.9e+07 5.0e+02 1.0e+03]\n", - " covariance [[2.102e+12 0.000e+00 0.000e+00]\n", - " [0.000e+00 1.000e+04 0.000e+00]\n", - " [0.000e+00 0.000e+00 1.000e+04]]\n", - " decomp_type PCA\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 3\n", - " replications 1\n", - " randomize LMS DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order RADICAL INVERSE\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 7\n" - ] - } - ], - "source": [ - "def cantilever_beam_function(T,compute_flags): # T is (n x 3)\n", - " Y = np.zeros((2,len(T)),dtype=float) # (n x 2)\n", - " l,w,t = 100,4,2\n", - " T1,T2,T3 = T[:,0],T[:,1],T[:,2] # Python is indexed from 0\n", - " if compute_flags[0]: # compute D. x^2 is \"x**2\" in Python\n", - " Y[0] = 4*l**3/(T1*w*t)*np.sqrt(T2**2/t**4+T3**2/w**4)\n", - " if compute_flags[1]: # compute S\n", - " Y[1] = 600*(T2/(w*t**2)+T3/(w**2*t))\n", - " return Y\n", - "true_measure = qp.Gaussian(\n", - " sampler = qp.DigitalNetB2(dimension=3,seed=7),\n", - " mean = [2.9e7,500,1000],\n", - " covariance = np.diag([(1.45e6)**2,(100)**2,(100)**2]))\n", - "integrand = qp.CustomFun(true_measure,\n", - " g = cantilever_beam_function,\n", - " dimension_indv = 2)\n", - "qmc_stop_crit = qp.CubQMCNetG(integrand,\n", - " abs_tol = 1e-3,\n", - " rel_tol = 1e-6)\n", - "solution,data = qmc_stop_crit.integrate()\n", - "print(data)\n", - "\"\"\"\n", - "Data (Data)\n", - " solution [2.426e+00 3.750e+04]\n", - " comb_bound_low [2.425e+00 3.750e+04]\n", - " comb_bound_high [2.427e+00 3.750e+04]\n", - " comb_bound_diff [0.002 0.041]\n", - " comb_flags [ True True]\n", - " n_total 2^(18)\n", - " n [ 1024 262144]\n", - " time_integrate 0.060\n", - "\"\"\"" - ] - }, - { - "cell_type": "markdown", - "id": "4573dad8", - "metadata": { - "id": "4573dad8" - }, - "source": [ - "## BO QEI\n", - "\n", - "See the [QEI Demo in QMCPy](https://qmcpy.readthedocs.io/en/latest/demo_rst/qei-demo-for-blog.html) or the [BoTorch Acquisition documentation](https://botorch.org/docs/acquisition) for details on Bayesian Optimization using q-Expected Improvement." - ] + "cells": [ + { + "cell_type": "markdown", + "id": "ce064a42", + "metadata": { + "id": "ce064a42" + }, + "source": [ + "# Vectorized QMC" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/vectorized_qmc.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "484d4c41", + "metadata": { + "id": "484d4c41" + }, + "outputs": [], + "source": [ + "import qmcpy as qp\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9bf10463", + "metadata": { + "id": "9bf10463" + }, + "outputs": [], + "source": [ + "from matplotlib import pyplot\n", + "%matplotlib inline\n", + "root = None#'./'" + ] + }, + { + "cell_type": "markdown", + "id": "728a1c89", + "metadata": { + "id": "728a1c89" + }, + "source": [ + "## LD Sequence" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "fabaf64c", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 }, + "id": "fabaf64c", + "outputId": "7e9be5a7-30ff-450c-9ac8-026e191931e7" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 6, - "id": "4a88842d", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4a88842d", - "outputId": "459b6cb4-8359-4f7d-ec7b-a342675a32b4" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution [[0.06 0.079 0.072 ... 0.06 0.061 0.066]\n", - " [0.079 0.064 0.067 ... 0.064 0.065 0.071]\n", - " [0.072 0.067 0.032 ... 0.032 0.033 0.039]\n", - " ...\n", - " [0.06 0.064 0.032 ... 0. 0.001 0.007]\n", - " [0.061 0.065 0.033 ... 0.001 0.001 0.007]\n", - " [0.067 0.071 0.039 ... 0.007 0.007 0.007]]\n", - " comb_bound_low [[0.059 0.079 0.071 ... 0.059 0.06 0.065]\n", - " [0.078 0.063 0.066 ... 0.064 0.064 0.07 ]\n", - " [0.071 0.066 0.032 ... 0.032 0.032 0.038]\n", - " ...\n", - " [0.059 0.063 0.032 ... 0. 0.001 0.006]\n", - " [0.059 0.064 0.032 ... 0.001 0.001 0.006]\n", - " [0.065 0.07 0.038 ... 0.006 0.006 0.006]]\n", - " comb_bound_high [[0.061 0.08 0.073 ... 0.061 0.062 0.068]\n", - " [0.08 0.065 0.068 ... 0.065 0.066 0.072]\n", - " [0.073 0.068 0.033 ... 0.033 0.033 0.04 ]\n", - " ...\n", - " [0.061 0.065 0.033 ... 0. 0.001 0.008]\n", - " [0.062 0.066 0.034 ... 0.001 0.001 0.008]\n", - " [0.068 0.072 0.04 ... 0.008 0.008 0.008]]\n", - " comb_bound_diff [[0.002 0.002 0.002 ... 0.002 0.002 0.002]\n", - " [0.002 0.002 0.002 ... 0.002 0.002 0.002]\n", - " [0.002 0.002 0.001 ... 0.001 0.001 0.002]\n", - " ...\n", - " [0.002 0.002 0.001 ... 0. 0. 0.002]\n", - " [0.002 0.002 0.001 ... 0. 0. 0.002]\n", - " [0.003 0.002 0.002 ... 0.002 0.002 0.002]]\n", - " comb_flags [[ True True True ... True True True]\n", - " [ True True True ... True True True]\n", - " [ True True True ... True True True]\n", - " ...\n", - " [ True True True ... True True True]\n", - " [ True True True ... True True True]\n", - " [ True True True ... True True True]]\n", - " n_total 2^(10)\n", - " n [[1024 1024 1024 ... 1024 1024 1024]\n", - " [1024 1024 1024 ... 1024 1024 1024]\n", - " [1024 1024 1024 ... 1024 1024 1024]\n", - " ...\n", - " [1024 1024 1024 ... 1024 1024 1024]\n", - " [1024 1024 1024 ... 1024 1024 1024]\n", - " [1024 1024 1024 ... 1024 1024 1024]]\n", - " time_integrate 2.242\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.025\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "CustomFun (AbstractIntegrand)\n", - "Uniform (AbstractTrueMeasure)\n", - " lower_bound 0\n", - " upper_bound 1\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 2^(1)\n", - " replications 1\n", - " randomize LMS DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order RADICAL INVERSE\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 7\n" - ] - } - ], - "source": [ - "import scipy\n", - "from sklearn.gaussian_process import GaussianProcessRegressor,kernels\n", - "\n", - "f = lambda x: np.cos(10*x)*np.exp(.2*x)+np.exp(-5*(x-.4)**2)\n", - "xplt = np.linspace(0,1,100)\n", - "yplt = f(xplt)\n", - "x = np.array([.1, .2, .4, .7, .9])\n", - "y = f(x)\n", - "ymax = y.max()\n", - "\n", - "gp = GaussianProcessRegressor(kernel=kernels.RBF(length_scale=1.0,length_scale_bounds=(1e-2, 1e2)),\n", - " n_restarts_optimizer = 16).fit(x[:,None],y)\n", - "yhatplt,stdhatplt = gp.predict(xplt[:,None],return_std=True)\n", - "\n", - "tpax = 32\n", - "x0mesh,x1mesh = np.meshgrid(np.linspace(0,1,tpax),np.linspace(0,1,tpax))\n", - "post_mus = np.zeros((tpax,tpax,2),dtype=float)\n", - "post_sqrtcovs = np.zeros((tpax,tpax,2,2),dtype=float)\n", - "for j0 in range(tpax):\n", - " for j1 in range(tpax):\n", - " candidate = np.array([[x0mesh[j0,j1]],[x1mesh[j0,j1]]])\n", - " post_mus[j0,j1],post_cov = gp.predict(candidate,return_cov=True)\n", - " evals,evecs = scipy.linalg.eig(post_cov)\n", - " post_sqrtcovs[j0,j1] = np.sqrt(np.maximum(evals.real,0))*evecs\n", - "\n", - "def qei_acq_vec(x,compute_flags):\n", - " xgauss = scipy.stats.norm.ppf(x)\n", - " n = len(x)\n", - " qei_vals = np.zeros((tpax,tpax,n),dtype=float)\n", - " for j0 in range(tpax):\n", - " for j1 in range(tpax):\n", - " if compute_flags[j0,j1]==False: continue\n", - " sqrt_cov = post_sqrtcovs[j0,j1]\n", - " mu_post = post_mus[j0,j1]\n", - " for i in range(len(x)):\n", - " yij = sqrt_cov@xgauss[i]+mu_post\n", - " qei_vals[j0,j1,i] = max((yij-ymax).max(),0)\n", - " return qei_vals\n", - "\n", - "qei_acq_vec_qmcpy = qp.CustomFun(\n", - " true_measure = qp.Uniform(qp.DigitalNetB2(2,seed=7)),\n", - " g = qei_acq_vec,\n", - " dimension_indv = (tpax,tpax),\n", - " parallel=False)\n", - "qei_vals,qei_data = qp.CubQMCNetG(qei_acq_vec_qmcpy,abs_tol=.025,rel_tol=0).integrate() # .0005\n", - "print(qei_data)\n", - "\n", - "a = np.unravel_index(np.argmax(qei_vals,axis=None),qei_vals.shape)\n", - "xnext = np.array([x0mesh[a[0],a[1]],x1mesh[a[0],a[1]]])\n", - "fnext = f(xnext)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "a5938bf4", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 338 - }, - "id": "a5938bf4", - "outputId": "8c6b732e-0bdd-4b84-f0fa-588ca01e68c4" - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from matplotlib import cm\n", - "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(8,3.25))\n", - "ax[0].scatter(x,y,color='k',label='Query Points')\n", - "ax[0].plot(xplt,yplt,color='k',linestyle='--',label='True function',linewidth=1)\n", - "ax[0].plot(xplt,yhatplt,color='k',label='GP Mean',linewidth=1)\n", - "ax[0].fill_between(xplt,yhatplt-1.96*stdhatplt,yhatplt+1.96*stdhatplt,color='k',alpha=.25,label='95% CI')\n", - "ax[0].scatter(xnext,fnext,color='k',marker='*',s=200,zorder=10)\n", - "ax[0].set_xlim([0,1])\n", - "ax[0].set_xticks([0,1])\n", - "ax[0].set_xlabel(r'$x$')\n", - "ax[0].set_ylabel(r'$y$')\n", - "fig.legend(labels=['data','true function','posterior mean',r'95\\% CI','next points by qEI'],loc='lower center',bbox_to_anchor=(.5,-.05),ncol=5)\n", - "contour = ax[1].contourf(x0mesh,x1mesh,qei_vals,cmap=cm.Greys_r)\n", - "ax[1].scatter([xnext[0]],[xnext[1]],color='k',marker='*',s=200)\n", - "fig.colorbar(contour,ax=None,shrink=1,aspect=5)\n", - "ax[1].scatter(x0mesh.flatten(),x1mesh.flatten(),color='w',s=1)\n", - "ax[1].set_xlim([0,1])\n", - "ax[1].set_xticks([0,1])\n", - "ax[1].set_ylim([0,1])\n", - "ax[1].set_yticks([0,1])\n", - "ax[1].set_xlabel(r'$x_1$')\n", - "ax[1].set_ylabel(r'$x_2$')\n", - "if root: fig.savefig(root+'gp.pdf',transparent=True)" + "data": { + "image/png": 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", + "text/plain": [ + "
" ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "n = 2**6\n", + "s = 10\n", + "fig,ax = pyplot.subplots(figsize=(8,4),nrows=1,ncols=3)\n", + "for i,(dd,name) in enumerate(zip(\n", + " [qp.IIDStdUniform(2,seed=7),qp.DigitalNetB2(2,seed=7),qp.Lattice(2,seed=7)],\n", + " ['IID','Randomized Digital Net (LD)','Randomized Lattice (LD)'])):\n", + " pts = dd.gen_samples(n)\n", + " ax[i].scatter(pts[0:n//4,0],pts[0:n//4,1],color='k',marker='s',s=s)\n", + " ax[i].scatter(pts[n//4:n//2,0],pts[n//4:n//2,1],color='k',marker='o',s=s)\n", + " ax[i].scatter(pts[n//2:n,0],pts[n//2:n,1],color='k',marker='^',s=s)\n", + " ax[i].set_aspect(1)\n", + " ax[i].set_xlabel(r'$x_{1}$')\n", + " ax[i].set_ylabel(r'$x_{2}$')\n", + " ax[i].set_xlim([0,1])\n", + " ax[i].set_ylim([0,1])\n", + " ax[i].set_xticks([0,.25,.5,.75,1])\n", + " ax[i].set_xticklabels([r'$0$',r'$1/4$',r'$1/2$',r'$3/4$',r'$1$'])\n", + " ax[i].set_yticks([0,.25,.5,.75,1])\n", + " ax[i].set_yticklabels([r'$0$',r'$1/4$',r'$1/2$',r'$3/4$',r'$1$'])\n", + " ax[i].set_title(name)\n", + "if root: fig.savefig(root+'ld_seqs.pdf',transparent=True)" + ] + }, + { + "cell_type": "markdown", + "id": "1aa7b935", + "metadata": { + "id": "1aa7b935" + }, + "source": [ + "## Simple Example" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df5b8a1b", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "df5b8a1b", + "outputId": "d3c9d8f7-777b-4058-f62d-2c6bbf4f196f" + }, + "outputs": [ { - "cell_type": "markdown", - "id": "537cf7f0", - "metadata": { - "id": "537cf7f0" - }, - "source": [ - "## Bayesian Logistic Regression" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution [2.426e+00 3.750e+04]\n", + " comb_bound_low [2.425e+00 3.750e+04]\n", + " comb_bound_high [2.427e+00 3.750e+04]\n", + " comb_bound_diff [0.002 0.041]\n", + " comb_flags [ True True]\n", + " n_total 2^(18)\n", + " n [ 1024 262144]\n", + " time_integrate 0.060\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.001\n", + " rel_tol 1.00e-06\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "CustomFun (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean [2.9e+07 5.0e+02 1.0e+03]\n", + " covariance [[2.102e+12 0.000e+00 0.000e+00]\n", + " [0.000e+00 1.000e+04 0.000e+00]\n", + " [0.000e+00 0.000e+00 1.000e+04]]\n", + " decomp_type PCA\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 3\n", + " replications 1\n", + " randomize LMS DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order RADICAL INVERSE\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 7\n" + ] + } + ], + "source": [ + "def cantilever_beam_function(T,compute_flags): # T is (n x 3)\n", + " Y = np.zeros((2,len(T)),dtype=float) # (n x 2)\n", + " l,w,t = 100,4,2\n", + " T1,T2,T3 = T[:,0],T[:,1],T[:,2] # Python is indexed from 0\n", + " if compute_flags[0]: # compute D. x^2 is \"x**2\" in Python\n", + " Y[0] = 4*l**3/(T1*w*t)*np.sqrt(T2**2/t**4+T3**2/w**4)\n", + " if compute_flags[1]: # compute S\n", + " Y[1] = 600*(T2/(w*t**2)+T3/(w**2*t))\n", + " return Y\n", + "true_measure = qp.Gaussian(\n", + " sampler = qp.DigitalNetB2(dimension=3,seed=7),\n", + " mean = [2.9e7,500,1000],\n", + " covariance = np.diag([(1.45e6)**2,(100)**2,(100)**2]))\n", + "integrand = qp.CustomFun(true_measure,\n", + " g = cantilever_beam_function,\n", + " dimension_indv = 2)\n", + "qmc_stop_crit = qp.CubQMCNetG(integrand,\n", + " abs_tol = 1e-3,\n", + " rel_tol = 1e-6)\n", + "solution,data = qmc_stop_crit.integrate()\n", + "print(data)\n", + "\"\"\"\n", + "Data (Data)\n", + " solution [2.426e+00 3.750e+04]\n", + " comb_bound_low [2.425e+00 3.750e+04]\n", + " comb_bound_high [2.427e+00 3.750e+04]\n", + " comb_bound_diff [0.002 0.041]\n", + " comb_flags [ True True]\n", + " n_total 2^(18)\n", + " n [ 1024 262144]\n", + " time_integrate 0.060\n", + "\"\"\"" + ] + }, + { + "cell_type": "markdown", + "id": "4573dad8", + "metadata": { + "id": "4573dad8" + }, + "source": [ + "## BO QEI\n", + "\n", + "See the [QEI Demo in QMCPy](https://qmcpy.readthedocs.io/en/latest/demo_rst/qei-demo-for-blog.html) or the [BoTorch Acquisition documentation](https://botorch.org/docs/acquisition) for details on Bayesian Optimization using q-Expected Improvement." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4a88842d", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "4a88842d", + "outputId": "459b6cb4-8359-4f7d-ec7b-a342675a32b4" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "id": "2c109b39", - "metadata": { - "id": "2c109b39" - }, - "outputs": [], - "source": [ - "import io\n", - "import zipfile\n", - "from urllib.request import urlopen\n", - "\n", - "import pandas as pd\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "with urlopen(\n", - " 'https://cdn.uci-ics-mlr-prod.aws.uci.edu/43/haberman%2Bs%2Bsurvival.zip',\n", - " timeout=30,\n", - ") as resp:\n", - " with zipfile.ZipFile(io.BytesIO(resp.read())) as zf:\n", - " with zf.open('haberman.data') as f:\n", - " df = pd.read_csv(f, header=None)\n", - "df.columns = ['Age','1900 Year','Axillary Nodes','Survival Status']\n", - "df.loc[df['Survival Status']==2,'Survival Status'] = 0\n", - "x,y = df[['Age','1900 Year','Axillary Nodes']],df['Survival Status']\n", - "xt,xv,yt,yv = train_test_split(x,y,test_size=.33,random_state=7)" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution [[0.06 0.079 0.072 ... 0.06 0.061 0.066]\n", + " [0.079 0.064 0.067 ... 0.064 0.065 0.071]\n", + " [0.072 0.067 0.032 ... 0.032 0.033 0.039]\n", + " ...\n", + " [0.06 0.064 0.032 ... 0. 0.001 0.007]\n", + " [0.061 0.065 0.033 ... 0.001 0.001 0.007]\n", + " [0.067 0.071 0.039 ... 0.007 0.007 0.007]]\n", + " comb_bound_low [[0.059 0.079 0.071 ... 0.059 0.06 0.065]\n", + " [0.078 0.063 0.066 ... 0.064 0.064 0.07 ]\n", + " [0.071 0.066 0.032 ... 0.032 0.032 0.038]\n", + " ...\n", + " [0.059 0.063 0.032 ... 0. 0.001 0.006]\n", + " [0.059 0.064 0.032 ... 0.001 0.001 0.006]\n", + " [0.065 0.07 0.038 ... 0.006 0.006 0.006]]\n", + " comb_bound_high [[0.061 0.08 0.073 ... 0.061 0.062 0.068]\n", + " [0.08 0.065 0.068 ... 0.065 0.066 0.072]\n", + " [0.073 0.068 0.033 ... 0.033 0.033 0.04 ]\n", + " ...\n", + " [0.061 0.065 0.033 ... 0. 0.001 0.008]\n", + " [0.062 0.066 0.034 ... 0.001 0.001 0.008]\n", + " [0.068 0.072 0.04 ... 0.008 0.008 0.008]]\n", + " comb_bound_diff [[0.002 0.002 0.002 ... 0.002 0.002 0.002]\n", + " [0.002 0.002 0.002 ... 0.002 0.002 0.002]\n", + " [0.002 0.002 0.001 ... 0.001 0.001 0.002]\n", + " ...\n", + " [0.002 0.002 0.001 ... 0. 0. 0.002]\n", + " [0.002 0.002 0.001 ... 0. 0. 0.002]\n", + " [0.003 0.002 0.002 ... 0.002 0.002 0.002]]\n", + " comb_flags [[ True True True ... True True True]\n", + " [ True True True ... True True True]\n", + " [ True True True ... True True True]\n", + " ...\n", + " [ True True True ... True True True]\n", + " [ True True True ... True True True]\n", + " [ True True True ... True True True]]\n", + " n_total 2^(10)\n", + " n [[1024 1024 1024 ... 1024 1024 1024]\n", + " [1024 1024 1024 ... 1024 1024 1024]\n", + " [1024 1024 1024 ... 1024 1024 1024]\n", + " ...\n", + " [1024 1024 1024 ... 1024 1024 1024]\n", + " [1024 1024 1024 ... 1024 1024 1024]\n", + " [1024 1024 1024 ... 1024 1024 1024]]\n", + " time_integrate 2.242\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.025\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "CustomFun (AbstractIntegrand)\n", + "Uniform (AbstractTrueMeasure)\n", + " lower_bound 0\n", + " upper_bound 1\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 2^(1)\n", + " replications 1\n", + " randomize LMS DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order RADICAL INVERSE\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 7\n" + ] + } + ], + "source": [ + "import scipy\n", + "from sklearn.gaussian_process import GaussianProcessRegressor,kernels\n", + "\n", + "f = lambda x: np.cos(10*x)*np.exp(.2*x)+np.exp(-5*(x-.4)**2)\n", + "xplt = np.linspace(0,1,100)\n", + "yplt = f(xplt)\n", + "x = np.array([.1, .2, .4, .7, .9])\n", + "y = f(x)\n", + "ymax = y.max()\n", + "\n", + "gp = GaussianProcessRegressor(kernel=kernels.RBF(length_scale=1.0,length_scale_bounds=(1e-2, 1e2)),\n", + " n_restarts_optimizer = 16).fit(x[:,None],y)\n", + "yhatplt,stdhatplt = gp.predict(xplt[:,None],return_std=True)\n", + "\n", + "tpax = 32\n", + "x0mesh,x1mesh = np.meshgrid(np.linspace(0,1,tpax),np.linspace(0,1,tpax))\n", + "post_mus = np.zeros((tpax,tpax,2),dtype=float)\n", + "post_sqrtcovs = np.zeros((tpax,tpax,2,2),dtype=float)\n", + "for j0 in range(tpax):\n", + " for j1 in range(tpax):\n", + " candidate = np.array([[x0mesh[j0,j1]],[x1mesh[j0,j1]]])\n", + " post_mus[j0,j1],post_cov = gp.predict(candidate,return_cov=True)\n", + " evals,evecs = scipy.linalg.eig(post_cov)\n", + " post_sqrtcovs[j0,j1] = np.sqrt(np.maximum(evals.real,0))*evecs\n", + "\n", + "def qei_acq_vec(x,compute_flags):\n", + " xgauss = scipy.stats.norm.ppf(x)\n", + " n = len(x)\n", + " qei_vals = np.zeros((tpax,tpax,n),dtype=float)\n", + " for j0 in range(tpax):\n", + " for j1 in range(tpax):\n", + " if compute_flags[j0,j1]==False: continue\n", + " sqrt_cov = post_sqrtcovs[j0,j1]\n", + " mu_post = post_mus[j0,j1]\n", + " for i in range(len(x)):\n", + " yij = sqrt_cov@xgauss[i]+mu_post\n", + " qei_vals[j0,j1,i] = max((yij-ymax).max(),0)\n", + " return qei_vals\n", + "\n", + "qei_acq_vec_qmcpy = qp.CustomFun(\n", + " true_measure = qp.Uniform(qp.DigitalNetB2(2,seed=7)),\n", + " g = qei_acq_vec,\n", + " dimension_indv = (tpax,tpax),\n", + " parallel=False)\n", + "qei_vals,qei_data = qp.CubQMCNetG(qei_acq_vec_qmcpy,abs_tol=.025,rel_tol=0).integrate() # .0005\n", + "print(qei_data)\n", + "\n", + "a = np.unravel_index(np.argmax(qei_vals,axis=None),qei_vals.shape)\n", + "xnext = np.array([x0mesh[a[0],a[1]],x1mesh[a[0],a[1]]])\n", + "fnext = f(xnext)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a5938bf4", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 338 }, + "id": "a5938bf4", + "outputId": "8c6b732e-0bdd-4b84-f0fa-588ca01e68c4" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 9, - "id": "c7372124", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 674 - }, - "id": "c7372124", - "outputId": "4c68a0e4-75b0-4e1c-a811-fd9aabe79d82" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Age 1900 Year Axillary Nodes Survival Status\n", - "0 30 64 1 1\n", - "1 30 62 3 1\n", - "2 30 65 0 1\n", - "3 31 59 2 1\n", - "4 31 65 4 1 \n", - "\n", - " Age 1900 Year Axillary Nodes\n", - "count 306.000000 306.000000 306.000000\n", - "mean 52.457516 62.852941 4.026144\n", - "std 10.803452 3.249405 7.189654\n", - "min 30.000000 58.000000 0.000000\n", - "25% 44.000000 60.000000 0.000000\n", - "50% 52.000000 63.000000 1.000000\n", - "75% 60.750000 65.750000 4.000000\n", - "max 83.000000 69.000000 52.000000 \n", - "\n", - "count 306\n", - "unique 2\n", - "top 1\n", - "freq 225\n", - "Name: Survival Status, dtype: object\n", - "\n", - "train samples: 205 test samples: 101\n", - "\n", - "train positives 151 train negatives: 54\n", - " test positives 74 test negatives: 27\n" - ] - }, - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " Age 1900 Year Axillary Nodes\n", - "46 41 58 0\n", - "199 57 64 1\n", - "115 49 64 10\n", - "128 50 61 0\n", - "249 63 63 0" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "print(df.head(),'\\n')\n", - "print(df[['Age','1900 Year','Axillary Nodes']].describe(),'\\n')\n", - "print(df['Survival Status'].astype(str).describe())\n", - "print('\\ntrain samples: %d test samples: %d\\n'%(len(xt),len(xv)))\n", - "print('train positives %d train negatives: %d'%(np.sum(yt==1),np.sum(yt==0)))\n", - "print(' test positives %d test negatives: %d'%(np.sum(yv==1),np.sum(yv==0)))\n", - "xt.head()" + "data": { + "image/png": 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+ "text/plain": [ + "
" ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib import cm\n", + "fig,ax = pyplot.subplots(nrows=1,ncols=2,figsize=(8,3.25))\n", + "ax[0].scatter(x,y,color='k',label='Query Points')\n", + "ax[0].plot(xplt,yplt,color='k',linestyle='--',label='True function',linewidth=1)\n", + "ax[0].plot(xplt,yhatplt,color='k',label='GP Mean',linewidth=1)\n", + "ax[0].fill_between(xplt,yhatplt-1.96*stdhatplt,yhatplt+1.96*stdhatplt,color='k',alpha=.25,label='95% CI')\n", + "ax[0].scatter(xnext,fnext,color='k',marker='*',s=200,zorder=10)\n", + "ax[0].set_xlim([0,1])\n", + "ax[0].set_xticks([0,1])\n", + "ax[0].set_xlabel(r'$x$')\n", + "ax[0].set_ylabel(r'$y$')\n", + "fig.legend(labels=['data','true function','posterior mean',r'95\\% CI','next points by qEI'],loc='lower center',bbox_to_anchor=(.5,-.05),ncol=5)\n", + "contour = ax[1].contourf(x0mesh,x1mesh,qei_vals,cmap=cm.Greys_r)\n", + "ax[1].scatter([xnext[0]],[xnext[1]],color='k',marker='*',s=200)\n", + "fig.colorbar(contour,ax=None,shrink=1,aspect=5)\n", + "ax[1].scatter(x0mesh.flatten(),x1mesh.flatten(),color='w',s=1)\n", + "ax[1].set_xlim([0,1])\n", + "ax[1].set_xticks([0,1])\n", + "ax[1].set_ylim([0,1])\n", + "ax[1].set_yticks([0,1])\n", + "ax[1].set_xlabel(r'$x_1$')\n", + "ax[1].set_ylabel(r'$x_2$')\n", + "if root: fig.savefig(root+'gp.pdf',transparent=True)" + ] + }, + { + "cell_type": "markdown", + "id": "537cf7f0", + "metadata": { + "id": "537cf7f0" + }, + "source": [ + "## Bayesian Logistic Regression" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2c109b39", + "metadata": { + "id": "2c109b39" + }, + "outputs": [], + "source": [ + "import io\n", + "import zipfile\n", + "from urllib.request import urlopen\n", + "\n", + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "with urlopen(\n", + " 'https://cdn.uci-ics-mlr-prod.aws.uci.edu/43/haberman%2Bs%2Bsurvival.zip',\n", + " timeout=30,\n", + ") as resp:\n", + " with zipfile.ZipFile(io.BytesIO(resp.read())) as zf:\n", + " with zf.open('haberman.data') as f:\n", + " df = pd.read_csv(f, header=None)\n", + "df.columns = ['Age','1900 Year','Axillary Nodes','Survival Status']\n", + "df.loc[df['Survival Status']==2,'Survival Status'] = 0\n", + "x,y = df[['Age','1900 Year','Axillary Nodes']],df['Survival Status']\n", + "xt,xv,yt,yv = train_test_split(x,y,test_size=.33,random_state=7)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "c7372124", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 674 }, + "id": "c7372124", + "outputId": "4c68a0e4-75b0-4e1c-a811-fd9aabe79d82" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "id": "2cc71af8", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "2cc71af8", - "outputId": "0ac54a5d-0388-4019-ec8b-5ceadd6e5b3d" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution [-0.128 0.084 -0.091 0.09 ]\n", - " comb_bound_low [-0.198 0.069 -0.14 0.074]\n", - " comb_bound_high [-0.105 0.129 -0.075 0.138]\n", - " comb_bound_diff [0.092 0.06 0.065 0.065]\n", - " comb_flags [ True True True True]\n", - " n_total 2^(17)\n", - " n [[ 1024 1024 2048 131072]\n", - " [ 1024 1024 2048 131072]]\n", - " time_integrate 0.351\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.100\n", - " rel_tol 2^(-1)\n", - " n_init 2^(10)\n", - " n_limit 2^(18)\n", - "BayesianLRCoeffs (AbstractIntegrand)\n", - "Gaussian (AbstractTrueMeasure)\n", - " mean 0\n", - " covariance 5\n", - " decomp_type PCA\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 2^(2)\n", - " replications 1\n", - " randomize LMS DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order RADICAL INVERSE\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 1\n" - ] - } - ], - "source": [ - "blr = qp.BayesianLRCoeffs(\n", - " sampler = qp.DigitalNetB2(4,seed=1),\n", - " feature_array = xt, # np.ndarray of shape (n,d-1)\n", - " response_vector = yt, # np.ndarray of shape (n,)\n", - " prior_mean = 0, # normal prior mean = (0,0,...,0)\n", - " prior_covariance = 5) # normal prior covariance = 5I\n", - "qmc_sc = qp.CubQMCNetG(blr,\n", - " abs_tol = .1,\n", - " rel_tol = .5,\n", - " error_fun = \"BOTH\",\n", - " n_limit=2**18)\n", - "blr_coefs,blr_data = qmc_sc.integrate()\n", - "print(blr_data)\n", - "\"\"\"\n", - "Data (Data)\n", - "solution [-0.128 0.084 -0.091 0.09 ]\n", - "comb_bound_low [-0.198 0.069 -0.14 0.074]\n", - "comb_bound_high [-0.105 0.129 -0.075 0.138]\n", - "comb_bound_diff [0.092 0.06 0.065 0.065]\n", - "comb_flags [ True True True True]\n", - "n_total 2^(17)\n", - "n [[ 1024 1024 2048 131072]\n", - " [ 1024 1024 2048 131072]]\n", - "time_integrate 0.351\n", - "\"\"\"" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + " Age 1900 Year Axillary Nodes Survival Status\n", + "0 30 64 1 1\n", + "1 30 62 3 1\n", + "2 30 65 0 1\n", + "3 31 59 2 1\n", + "4 31 65 4 1 \n", + "\n", + " Age 1900 Year Axillary Nodes\n", + "count 306.000000 306.000000 306.000000\n", + "mean 52.457516 62.852941 4.026144\n", + "std 10.803452 3.249405 7.189654\n", + "min 30.000000 58.000000 0.000000\n", + "25% 44.000000 60.000000 0.000000\n", + "50% 52.000000 63.000000 1.000000\n", + "75% 60.750000 65.750000 4.000000\n", + "max 83.000000 69.000000 52.000000 \n", + "\n", + "count 306\n", + "unique 2\n", + "top 1\n", + "freq 225\n", + "Name: Survival Status, dtype: object\n", + "\n", + "train samples: 205 test samples: 101\n", + "\n", + "train positives 151 train negatives: 54\n", + " test positives 74 test negatives: 27\n" + ] }, { - "cell_type": "code", - "execution_count": 13, - "id": "9aeee8bf", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "9aeee8bf", - "outputId": "39038d66-18c1-46f0-a3b8-66760f67e6a2" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Age 1900 Year Axillary Nodes Intercept \\\n", - "method \n", - "Elastic-Net \\lambda=0.0 -0.012279 0.034401 -0.115153 0.001990 \n", - "Elastic-Net \\lambda=0.5 -0.012041 0.034170 -0.114770 0.002025 \n", - "Elastic-Net \\lambda=1.0 -0.011803 0.033940 -0.114387 0.002061 \n", - "Bayesian -0.128270 0.083826 -0.090906 0.089903 \n", - "\n", - " Accuracy Precision Recall \n", - "method \n", - "Elastic-Net \\lambda=0.0 0.742574 0.766667 0.932432 \n", - "Elastic-Net \\lambda=0.5 0.742574 0.766667 0.932432 \n", - "Elastic-Net \\lambda=1.0 0.742574 0.766667 0.932432 \n", - "Bayesian 0.326733 1.000000 0.081081 \n" - ] - } + "data": { + "text/html": [ + "
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" ], - "source": [ - "from sklearn.linear_model import LogisticRegression\n", - "def metrics(y,yhat):\n", - " y,yhat = np.array(y),np.array(yhat)\n", - " tp = np.sum((y==1)*(yhat==1))\n", - " tn = np.sum((y==0)*(yhat==0))\n", - " fp = np.sum((y==0)*(yhat==1))\n", - " fn = np.sum((y==1)*(yhat==0))\n", - " accuracy = (tp+tn)/(len(y))\n", - " precision = tp/(tp+fp)\n", - " recall = tp/(tp+fn)\n", - " return [accuracy,precision,recall]\n", - "\n", - "results = pd.DataFrame({name:[] for name in ['method','Age','1900 Year','Axillary Nodes','Intercept','Accuracy','Precision','Recall']})\n", - "for i,l1_ratio in enumerate([0,.5,1]):\n", - " lr = LogisticRegression(random_state=7,penalty=\"elasticnet\",solver='saga',l1_ratio=l1_ratio).fit(xt,yt)\n", - " results.loc[i] = [r'Elastic-Net \\lambda=%.1f'%l1_ratio]+lr.coef_.squeeze().tolist()+[lr.intercept_.item()]+metrics(yv,lr.predict(xv))\n", - "\n", - "blr_predict = lambda x: 1/(1+np.exp(-np.array(x)@blr_coefs[:-1]-blr_coefs[-1]))>=.5\n", - "blr_train_accuracy = np.mean(blr_predict(xt)==yt)\n", - "blr_test_accuracy = np.mean(blr_predict(xv)==yv)\n", - "results.loc[len(results)] = ['Bayesian']+blr_coefs.squeeze().tolist()+metrics(yv,blr_predict(xv))\n", - "\n", - "import warnings\n", - "warnings.simplefilter('ignore',FutureWarning)\n", - "results.set_index('method',inplace=True)\n", - "print(results.head())\n", - "#root: results.to_latex(root+'lr_table.tex',formatters={'%s'%tt:lambda v:'%.1f'%(100*v) for tt in ['accuracy','precision','recall']},float_format=\"%.2e\")" - ] - }, - { - "cell_type": "markdown", - "id": "d1002afa", - "metadata": { - "id": "d1002afa" - }, - "source": [ - "## Sensitivity Indices" + "text/plain": [ + " Age 1900 Year Axillary Nodes\n", + "46 41 58 0\n", + "199 57 64 1\n", + "115 49 64 10\n", + "128 50 61 0\n", + "249 63 63 0" ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "print(df.head(),'\\n')\n", + "print(df[['Age','1900 Year','Axillary Nodes']].describe(),'\\n')\n", + "print(df['Survival Status'].astype(str).describe())\n", + "print('\\ntrain samples: %d test samples: %d\\n'%(len(xt),len(xv)))\n", + "print('train positives %d train negatives: %d'%(np.sum(yt==1),np.sum(yt==0)))\n", + "print(' test positives %d test negatives: %d'%(np.sum(yv==1),np.sum(yv==0)))\n", + "xt.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2cc71af8", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "2cc71af8", + "outputId": "0ac54a5d-0388-4019-ec8b-5ceadd6e5b3d" + }, + "outputs": [ { - "cell_type": "markdown", - "id": "0c871796", - "metadata": { - "id": "0c871796" - }, - "source": [ - "### Ishigami Function" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution [-0.128 0.084 -0.091 0.09 ]\n", + " comb_bound_low [-0.198 0.069 -0.14 0.074]\n", + " comb_bound_high [-0.105 0.129 -0.075 0.138]\n", + " comb_bound_diff [0.092 0.06 0.065 0.065]\n", + " comb_flags [ True True True True]\n", + " n_total 2^(17)\n", + " n [[ 1024 1024 2048 131072]\n", + " [ 1024 1024 2048 131072]]\n", + " time_integrate 0.351\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.100\n", + " rel_tol 2^(-1)\n", + " n_init 2^(10)\n", + " n_limit 2^(18)\n", + "BayesianLRCoeffs (AbstractIntegrand)\n", + "Gaussian (AbstractTrueMeasure)\n", + " mean 0\n", + " covariance 5\n", + " decomp_type PCA\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 2^(2)\n", + " replications 1\n", + " randomize LMS DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order RADICAL INVERSE\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 1\n" + ] + } + ], + "source": [ + "blr = qp.BayesianLRCoeffs(\n", + " sampler = qp.DigitalNetB2(4,seed=1),\n", + " feature_array = xt, # np.ndarray of shape (n,d-1)\n", + " response_vector = yt, # np.ndarray of shape (n,)\n", + " prior_mean = 0, # normal prior mean = (0,0,...,0)\n", + " prior_covariance = 5) # normal prior covariance = 5I\n", + "qmc_sc = qp.CubQMCNetG(blr,\n", + " abs_tol = .1,\n", + " rel_tol = .5,\n", + " error_fun = \"BOTH\",\n", + " n_limit=2**18)\n", + "blr_coefs,blr_data = qmc_sc.integrate()\n", + "print(blr_data)\n", + "\"\"\"\n", + "Data (Data)\n", + "solution [-0.128 0.084 -0.091 0.09 ]\n", + "comb_bound_low [-0.198 0.069 -0.14 0.074]\n", + "comb_bound_high [-0.105 0.129 -0.075 0.138]\n", + "comb_bound_diff [0.092 0.06 0.065 0.065]\n", + "comb_flags [ True True True True]\n", + "n_total 2^(17)\n", + "n [[ 1024 1024 2048 131072]\n", + " [ 1024 1024 2048 131072]]\n", + "time_integrate 0.351\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "9aeee8bf", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "9aeee8bf", + "outputId": "39038d66-18c1-46f0-a3b8-66760f67e6a2" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 14, - "id": "d8e52264", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "d8e52264", - "outputId": "39fcb474-2947-4ef2-a37c-e8bf7cfc53ca" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data (Data)\n", - " solution [[0.315 0.421 0.004 0.735 0.558 0.419]\n", - " [0.565 0.444 0.244 0.987 0.558 0.688]]\n", - " comb_bound_low [[0.293 0.409 0. 0.706 0.534 0.399]\n", - " [0.541 0.435 0.234 0.974 0.539 0.667]]\n", - " comb_bound_high [[0.336 0.432 0.008 0.765 0.582 0.438]\n", - " [0.59 0.452 0.253 1. 0.577 0.708]]\n", - " comb_bound_diff [[0.043 0.023 0.008 0.059 0.047 0.039]\n", - " [0.049 0.017 0.02 0.026 0.038 0.042]]\n", - " comb_flags [[ True True True True True True]\n", - " [ True True True True True True]]\n", - " n_total 2^(10)\n", - " n [[[1024 1024 1024 1024 1024 1024]\n", - " [1024 1024 1024 1024 1024 1024]\n", - " [1024 1024 1024 1024 1024 1024]]\n", - " \n", - " [[1024 1024 1024 1024 1024 1024]\n", - " [1024 1024 1024 1024 1024 1024]\n", - " [1024 1024 1024 1024 1024 1024]]]\n", - " time_integrate 0.008\n", - "CubQMCNetG (AbstractStoppingCriterion)\n", - " abs_tol 0.050\n", - " rel_tol 0\n", - " n_init 2^(10)\n", - " n_limit 2^(35)\n", - "SensitivityIndices (AbstractIntegrand)\n", - " indices [[ True False False]\n", - " [False True False]\n", - " [False False True]\n", - " [ True True False]\n", - " [ True False True]\n", - " [False True True]]\n", - "Uniform (AbstractTrueMeasure)\n", - " lower_bound -3.142\n", - " upper_bound 3.142\n", - "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", - " d 3\n", - " replications 1\n", - " randomize LMS DS\n", - " gen_mats_source joe_kuo.6.21201.txt\n", - " order RADICAL INVERSE\n", - " t 63\n", - " alpha 1\n", - " n_limit 2^(32)\n", - " entropy 7\n", - "\n", - "Approx took 0.0 sec and n = 2^(10)\n", - "\t si_closed: [0.31495301 0.42054985 0.00403061 0.73545156 0.5580266 0.41868287]\n", - "\t si_total: [0.56524058 0.4435145 0.24364672 0.98722305 0.557734 0.68753131]\n", - "\t ci_comb_low_closed: [0.2934895 0.4092381 0. 0.70577578 0.53435058 0.39922204]\n", - "\t ci_comb_high_closed: [0.33641652 0.4318616 0.00806122 0.76512734 0.58170261 0.4381437 ]\n", - "\t ci_comb_low_total: [0.54066449 0.43508219 0.23389506 0.9744461 0.53864679 0.66669245]\n", - "\t ci_comb_high_total: [0.58981667 0.45194681 0.25339839 1. 0.57682122 0.70837017]\n" - ] - } - ], - "source": [ - "a,b = 7,0.1\n", - "dnb2 = qp.DigitalNetB2(3,seed=7)\n", - "ishigami = qp.Ishigami(dnb2,a,b)\n", - "idxs = np.array([\n", - " [True,False,False],\n", - " [False,True,False],\n", - " [False,False,True],\n", - " [True,True,False],\n", - " [True,False,True],\n", - " [False,True,True]],dtype=bool)\n", - "ishigami_si = qp.SensitivityIndices(ishigami,idxs)\n", - "qmc_algo = qp.CubQMCNetG(ishigami_si,abs_tol=.05)\n", - "solution,data = qmc_algo.integrate()\n", - "print(data)\n", - "si_closed = solution[0].squeeze()\n", - "si_total = solution[1].squeeze()\n", - "ci_comb_low_closed = data.comb_bound_low[0].squeeze()\n", - "ci_comb_high_closed = data.comb_bound_high[0].squeeze()\n", - "ci_comb_low_total = data.comb_bound_low[1].squeeze()\n", - "ci_comb_high_total = data.comb_bound_high[1].squeeze()\n", - "print(\"\\nApprox took %.1f sec and n = 2^(%d)\"%\n", - " (data.time_integrate,np.log2(data.n_total)))\n", - "print('\\t si_closed:',si_closed)\n", - "print('\\t si_total:',si_total)\n", - "print('\\t ci_comb_low_closed:',ci_comb_low_closed)\n", - "print('\\t ci_comb_high_closed:',ci_comb_high_closed)\n", - "print('\\t ci_comb_low_total:',ci_comb_low_total)\n", - "print('\\t ci_comb_high_total:',ci_comb_high_total)\n", - "\n", - "true_indices = qp.Ishigami._exact_sensitivity_indices(idxs,a,b)\n", - "si_closed_true = true_indices[0]\n", - "si_total_true = true_indices[1]" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + " Age 1900 Year Axillary Nodes Intercept \\\n", + "method \n", + "Elastic-Net \\lambda=0.0 -0.012279 0.034401 -0.115153 0.001990 \n", + "Elastic-Net \\lambda=0.5 -0.012041 0.034170 -0.114770 0.002025 \n", + "Elastic-Net \\lambda=1.0 -0.011803 0.033940 -0.114387 0.002061 \n", + "Bayesian -0.128270 0.083826 -0.090906 0.089903 \n", + "\n", + " Accuracy Precision Recall \n", + "method \n", + "Elastic-Net \\lambda=0.0 0.742574 0.766667 0.932432 \n", + "Elastic-Net \\lambda=0.5 0.742574 0.766667 0.932432 \n", + "Elastic-Net \\lambda=1.0 0.742574 0.766667 0.932432 \n", + "Bayesian 0.326733 1.000000 0.081081 \n" + ] + } + ], + "source": [ + "from sklearn.linear_model import LogisticRegression\n", + "def metrics(y,yhat):\n", + " y,yhat = np.array(y),np.array(yhat)\n", + " tp = np.sum((y==1)*(yhat==1))\n", + " tn = np.sum((y==0)*(yhat==0))\n", + " fp = np.sum((y==0)*(yhat==1))\n", + " fn = np.sum((y==1)*(yhat==0))\n", + " accuracy = (tp+tn)/(len(y))\n", + " precision = tp/(tp+fp)\n", + " recall = tp/(tp+fn)\n", + " return [accuracy,precision,recall]\n", + "\n", + "results = pd.DataFrame({name:[] for name in ['method','Age','1900 Year','Axillary Nodes','Intercept','Accuracy','Precision','Recall']})\n", + "for i,l1_ratio in enumerate([0,.5,1]):\n", + " lr = LogisticRegression(random_state=7,penalty=\"elasticnet\",solver='saga',l1_ratio=l1_ratio).fit(xt,yt)\n", + " results.loc[i] = [r'Elastic-Net \\lambda=%.1f'%l1_ratio]+lr.coef_.squeeze().tolist()+[lr.intercept_.item()]+metrics(yv,lr.predict(xv))\n", + "\n", + "blr_predict = lambda x: 1/(1+np.exp(-np.array(x)@blr_coefs[:-1]-blr_coefs[-1]))>=.5\n", + "blr_train_accuracy = np.mean(blr_predict(xt)==yt)\n", + "blr_test_accuracy = np.mean(blr_predict(xv)==yv)\n", + "results.loc[len(results)] = ['Bayesian']+blr_coefs.squeeze().tolist()+metrics(yv,blr_predict(xv))\n", + "\n", + "import warnings\n", + "warnings.simplefilter('ignore',FutureWarning)\n", + "results.set_index('method',inplace=True)\n", + "print(results.head())\n", + "#root: results.to_latex(root+'lr_table.tex',formatters={'%s'%tt:lambda v:'%.1f'%(100*v) for tt in ['accuracy','precision','recall']},float_format=\"%.2e\")" + ] + }, + { + "cell_type": "markdown", + "id": "d1002afa", + "metadata": { + "id": "d1002afa" + }, + "source": [ + "## Sensitivity Indices" + ] + }, + { + "cell_type": "markdown", + "id": "0c871796", + "metadata": { + "id": "0c871796" + }, + "source": [ + "### Ishigami Function" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "d8e52264", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "d8e52264", + "outputId": "39fcb474-2947-4ef2-a37c-e8bf7cfc53ca" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 15, - "id": "b2232e67", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 290 - }, - "id": "b2232e67", - "outputId": "5894fb17-0b0d-4f0f-bb6e-0fb517068325" - }, - "outputs": [ - { - "data": { - "image/png": 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XX2y8gNlMYO/evdXqJRMelvPHH39crdPhyIbTYZgMmbVp1apVpAyRL3ImTacbtsY1Ri4odmTs70nt1o+XPOXoM5wfIPekkErOmXOy50M/wjEvaWMPvsN3gbK0nxeyS7ohKcf50DbaaNtA25N2N6R99GOuK2VtG+jTSYMfVy78HnLjO/794MPvuXJx2+DvzujDebpy4f5n5oX3SZtWuHKhnXbWL6ofhF0bzo2+kfbaUNaVC7/Jvcp5+veSjysXXtZ7P821ceVi60pzbWibKxf/XqjJtXHvhaRr48qFsu69EJf4i3N05YK83HshTT+0cqlJP/xmI3pG0J4sI34yU+pWaGRzcqdPScoyefJk88AmfaPPW2+9Zf5Onz492LlzZ9GxSZMmme1U33777eCxxx4rOsauarNmzTIXLKzeVatWGaUzf/78YOPGjUXHRo0aVdhq1Y9VRUHa3cwo53f2JUuWBG3btg2WLl0avPLKK0XHBg8ebNLRkt5y7NixRcdQ9ja8jZ3VfAU7d+5cE3tNu9mi0qVv377B+PHjjRL0z5VObndYmzJlSjUlSppMdndiwLVgwYKiYz169DDfoQOGyXDt2rXmZkb2/jaYo0ePNjvzbdq0KZg6dWrRsY4dOxq5Q1i9y5YtM4OYxYsXF3bVA27e4cOHmz4TNlCzsFUlA0VkyL7bnB+wG5Y/0PLp3r27eajYgVXnzp3N37Btd124Wcl1AFu3bjV9gIELg6UdO3bEfpfBJ0tTPJjIPEg91McgjGsaB+0jzwGDU8rSfti+fXvig82VC7+H3Hi4JJ0rv+fKpVOnTmYQx0A27rrYgaArl169epk+Sr+0yZqicOWCrGxmxqT2cj1dudA3uD70Bf6Pg7KuXPhNBtEYGQxm43Dlsm/fvkKEB8+xJOXsygVlSV0ooKRzpW2uXPx7IQ5k4srFvRd8o8nHlQvX1r0XkpJEuXLB8HHvhTiQrSsX915A3nH8dSN6RlB30r1RE85hV5csKkLxMgWPMF1HJ1nqXyNLPdlSTxuv3JhG4SBLXZa6jyx1WeoW2vP73/8++MlPfhKUnVIHRmXyXhZCCCGSQamTcdPOJtQVpe4SQgghcoKUuhBCCJETpNSFEEKInCClLoQQQuQEKXUhhBAiJ2S6oQthUzbu0g/VYn9sPxZP4W5fo3C3dOFuxKheeeWVoTIkfIW40CgZ0h/oF/QV+ozLZZddFjRv3jxUhoTkEFcbJUP6L/2Yvk0f9+tMgpAb2g4KUcpHiBIojFFhjGnDGDnXpHunwTLKkXAEobrJZ2bOnGkC8l9++eXg6aefLvqOEtN8jRLTJCemgaFDhwbDhg0ziRwmTJhQdIwByDPPPGPe33fffSZngsu8efNMIgvk7O9xP2DAgGDMmDFGoftt4hw5Vysvf/CJjJDVunXrgkWLFhU96OgHUYqdh4CNyWdgxCBAyUTykUwElHBICYdqknAoqf83WJw6CoCOLEtdlnolW+q8R8mPHDnSHI9T6lw7HkL8viz1aGSpy1LPq6X++eefG8V+8803B1mg5DNCNABhSl0IUXmcPXvWzGr27NmzvBzlsHp/+ctfGitJiEoGa4EZgSQrRQghsiYzpc40AtM2SVNhovHAAA2fiJUrV5q//rR1FPgFuGVZU+T7vPBXSFtPY4Xlirvuuit02UIIIRqN97vIF9Zh0Cp4HP18JzMfq8AnTpxY+AyHN+vYxjHWjpIcYRoT/to3a3MMbvnrHmMdT4hSwozpO++8Y/xheN+/f//IDZJw2oUOHTqYshhlvLdwj/I5dUG3bt3q6SxEXZBSF6H4yyg48vne6FHfs05/VslPmzatoNQHDhxoLHm/XGPmtttuK/ofRxg8tNlGFmcYP5pDiFLx0EMPFSJ0UMhEAflRPBYiknhZhe2WQ6HjJzVu3DhTz/33318t8kZkR1nupy7yBQocb3MX/kdJ27ATH6bprdK2UPbJJ58s/G+n3v26hciauF2vrGNvnkD5umBhx82IYZWvWbPGvPet+UceeaQwOKCe2bNnl6TN4mvcwX/ZKHXCmIhPJnQoz6C4gJAtG2ufR6LWvaPiTilvZeKDorc8//zzRmZRZRsjhK+57N692+QxIPbfhsOJ+iePijsOFLgNaXNDXplmd6fVXcKm5hkcEGbFMb6LUrdT8KL8yUypE6tI/HeWI45yA8W1cOFCk9CF91ik5azUaSNT33EQ9+0nckmqM4wVK1aEJpPxv8ugKE/r6WFr5SSVePPNN008q5uIKeq+sfG2ojSwxuwqsLyuDUfF3UfFfFPeyoZkNay/o7zJH8FggGPIiil6Pv/Rj35U0vZXMl8k5BFoEKXOA5uR8fXXX2+SmuQVsqfhQEY2OxS8T32uFcdNhQPW8IwZM2pVN9/1rXL+D7OwmarH2zsJBkEMiPJkpYeBIrepX9OUzXI9TVRXXKtXrzbTybznnvWVuusMVmrirGagjTYzYhQo3EGDBtVZ2btOdCRJsuvmWOnIBDlxnHI//elPK27moz4hcU7ZKXU6Dhf95z//ea6VOtnXsDaxgFkXtlPLKDYUlqtEraV89913x65Dw+bNm81AIczyj6oH5ch3bCrYqO/VxlKnHWGDFlLwRlnq7sDGby9e7yh1BjzW2s+rcifLHmuQPCSTlqPISoVjXZ5nuBoanBZJ8UvfxfHLwowRg3Qy/1lcy5XyYVa9Vbx9+vSJVNBR9aAkaQODjDA47ranJvBd3yq30+hhoLht+623vB3g2BTGtt40AxJRe9IaAWmQo1xKUFQoUNLOosh9ixzFihJz4YERF5PNQIB6UKooPzeELE09/D6vqNmBuljqfn38Bg8nq4iZJeA95fyBCA8lXrYOBi6cn1XoaabqGzMo6W3btiWmqxT1A85gKFkUMVaunUbmvkIx+yFcWMGkV3Y9yf1BQlyK2bh67Pp01OxAXSx1O1XuQ55zHxQ0eyRYRzm3blH/JKUOLrlSJ/7WzwecZaPKERQSlqYN6+J/3/r2LU+UXZQVbY9bhWiVZlS5qHpKae0Sk845s+kCMwlujDqWOJ+7Vj4K2z68GEyg2GkfgxW/zXlW6jWddpOVXhrcUCwUOf/7ufhdKxalaC1q9h4IU4a2nL+JkX88rp4oy7mulro/SOB8+W3X0ua9HVi4v8NABBlZC53vMcDgvR2AyEovHUk550uu1Hmg+7GP7MqVd+IUUV2zpDHVXVurulQZ2hi42Da5HuwQloQGZY2S96fzM9peIJcgG8mnNKCIsGjt7JevmOKsbdbha6tc09STtJlMbWFWgGcJvk1M/bvPaWYA+ByZWMX97LPPFhS3W5b31IO8GAwopK3xUCulTrYwpm5cXn311eC3v/2t2fGq0sA6tVPRtcFmYKvN93lgWKs4zmlOlCfMePGAt7tTiWzBySsMpqmt1eqDohsyZEidneei6qFNHONv1tava4H73uq+IcZvx4W6uf4HovFQK7dbwnBYe3Ff7DKFNZfX3abwUo564fld241smM5neh2FbJ3magK/yzaoUujlA/cA0755vRfyAGvpfrIWwKpn6hxlZ53dakNcPUzJazpblIrzs1wTOHr0qLE88mh1JE2RhjmsobBxKLNYxcvNbqevWW+2DmQodzvNbcvY9Kxh9UQ56ImGhdmqfv36NXQzRAzWSncd1niPlzz/M3vCPWitXZbemNq2Wdps3nSwytmWgah6whz0hChLpY5CZ90FZy/WbUSxI5wLiUmI+UZhEyIXhi0TV09SJjfRMJw8eTLYsGFD0KtXr4pcjmqsoIR9b3DLnDlzTHiY7wgXViauHrAOaEKUAmW9yAg8wdNOn2N5J62fpynDzACKX3nUyws7wGWald3aol7utsVpyolswfhIO8WOdZ60xp6mjE3BqtAxUSoUp54RTJtjNafJKOd7kte2DCRthSoaDqZZDx8+HHrMjWHfuXNn7MCsa9euJWlfpcOUOFZzmoxyaVKkpk2jGrVrmhBZIKWeIUyD1+dUeF62LhWioXAzp9UH2hhFNJo0sXiBs7FF0gYWQlQK+JeQUSxpA4eOHTuaXQ6FEJXJN8oxTWzLli2D6dOna6tJUfGQIa5Lly7GAjzvvPNCy9jPGQSzm1tUOSFE/jlz5kxmdWn6XYiMYROXRx99NFVZbb0qhPhfL+16WXi/4xCEpb5///6sqhSi0eY0YC8EpX8VQqQhy/0fzs9y+gDF/t577xWF4TAFySYKJKcJU/h2zfHgwYPB6dOni46xhesll1xivMqPHTtWTQhYRIQDsXOaT7t27cy0Jp6t/gb0V111VdC0aVOzTaHvnYzDQps2bcz7Xbt2Vau3devWxro6cuRIIW7VQp3UferUqeDQoUNFx5hetY5teMj7oUosX5C05/jx49Vi1wl/adGihRnNHThwIFKGyNffGMDKkDqp2wULEccdrt3evXur1UumOvb6ZitRf8cx1oBxCgyTIb4VrVq1ipQh8kXOhHz5ObDxAmc72DAZsu7Utm3bSBnSH+gX9BU/Hz7x4mR4C5MhU+B22ShMhvRf+jHhgydOnCg6Zvu3K0PqmDJlikkfHLWmbqHPI4e4NXXkybkzUKA81xOQUVLIG9eYa2ivH/JhsJGUe5zv2BkEynK9eHGeSbvPUY57hLbRRtsG2p608RPt477lGlDWtoF7mHs9Dlcu/B5y4zv+/e/D77lycduQZEFxnq5c6A/0J94nTam6cqGdNmmXv31q3LXh3Ogbaa8NZV258Js8mzjPpE1FXLnwsg6Gaa6NKxdbV5prQ9tcufj3Qk2uzcXOvZB0bVy5UNa9F+IG65yjKxfk5d4LYXAsyx0dM1Pq9oYiAYPrLEfSlMmTJ5sHbdiGKG+99Zb5i5VPaI/LpEmTzHan7NP+2GOPVXNCmjVrlrmwYfWuWrXKKJ358+cHGzduLDo2atSowjanfngJD2G70xjl/Iu/ZMkSo1iWLl0avPLKK0XHBg8eHNxzzz0m29TYsWOLjqHsbfgZO5/5Cnbu3LkmdIl2s6uUS9++fYPx48ebh79/rnQau4MbisRXomS2uummm0zc+4IFC4qO9ejRw3yHjhomw7Vr15rOjez9XalGjx5tNvHZtGlTMHXq1KJjOH4hdwird9myZWYQs3jx4sKud5ahQ4cGw4YNC3bs2FFtYxgGIHZbSvYeIMmLy7x584JOnToZOfuhfgMGDAjGjBljFLrfJs6Rc7Xy8gefyAhZrVu3Lli0aFG1MCayiDFocuvlRo5LPMNDggfG7373O9OmsMGahY03GDjQZ9j2k+sJbNjhDyx9unfvbtpiB0GdO3c2f8O2+PXbR+4F2Lp1q+nzDNQ4T65NHAyuGCTxUCMTIvVQH3KlD8dB+xjYMRinLO2H7du3JypYVy78HnLjYZl0rvyeKxf6EIMsBu5hBoM/8HXlQsIh7knuQ5s8KgpXLsjKZopMai/X05ULfYPrQ1/g/zgo68qF38RowKhi8B6HK5d9+/YFvXv3Np/z3E5Szq5cUJbUhWJOOlfa5srFvxfiaNu2bZFc3HvBNxJ9XLlwbd17IW4gzbm5csHQc++FMKiPc+nZs2eQBedUZTRHiOLlIYvQXacfWepfI0u9cix19/eSSGMNylKXpe4iSz1/lvrGjRuN8VZ2Sh0YpciTVwghhEgGpb5+/frCTFNdUZpYIYQQIidIqQshhBA5QUpdCCGEyAlS6kIIIUROkFIXQgghcoKUuhBCCJETMs39Tiw0cckdOnQw8YAW4gmJ11P8qeJPKyn+1O+HVi416YeKUdczwkXPiPw9I86ePZtp7vfMlHqfPn0KmYP+7d/+rXAxED5Zx7773e+aBCrKFBWNMkXlK1OUBdm6cnGzpiHvOJRNTs8IFz0j8veMOHv2bLWkVmWRfMamhiXN6e23316w1BlhcUFIgUoGMo3Co9EoPH+jcJClLkvdR88IPSMsHH///fcLg7WyU+qrV68Ofvvb35rc4IzarVLv1q1b4cYTQgghRGCUOrPZWeV+z9xRjpEQm39kueuMEEIIkVew6MvSUQ5Y88h64V8IUZ6w/v3OO++YjYF4379//8IUZFjZl19+uVB2yJAhhbJxx4TIO+efn50qztxSZ8vRd999Nxg+fHjWVQshygy2nR00aJDZgpYX2yFHcf/99xtljeLHsXbhwoWpjgmRd75M8DdpUEs9yeFCiLwSt8uS3cUwT2BRu2BlR3k028+t9U3YK5b5uHHjYo8JUQn8JUO9mblSnzlzpgkj+OEPf5h11UKUNXlU3HGgjH3nV0KBPvzwQ6OYXaI87ikbd8yvRwhRz0q9efPmwd///d8X/icEgXV2/gpRCbDG7FqeRH7kkShlHBaW9Z3vfKfIskdh27Jxx4QQDazUuRFff/314Ac/+IEZxRNbSNIAISoBFB1hnY888oh5z9qwr9RRYExV1wdJ1i5tfOaZZ2LrwPpm3bwuyp7zHTlypJlWZ83cJqLhGRF3TAjRwEqdjEO/+c1vgieeeMLclCQZILyNhANu6lgh8grZrh588MHgxhtvLFoXZrqacE8UmG/VkwmN8mFWfZoyVjmjFF0lzmwBbWCQEQbH3fbUBL7rW9MsvUV5rTMwYEDDy56DHdzEHRNCNKBSv/LKK4v+J7OOks+ISmLNmjVGEaNksXLxCgcUuk2nDNwXKDEUGlPQeJIzGHZJU8YOJKIsZBsmFqYk62Kpc09jXftEzcy5bbAzCG5IW9QxIUSJlTox6FFx6OS79VPukUvXpvsTIq+gmAjNWr58uVHk/I8/iYurqFCK1iplyjlMGaYpY8sxaAgjTjnWxVL3BwmcL+2zv4dy5r0tN2LEiOC5554znzEYcH837pgQosRKfdq0acHDDz8cesy3Fsihy0hfiLyD8sKitSFa/O9OhcflXGcdPkmRpSkTRVK+99rCzAF+A9dff71ZHnCfC8wA8Lm18mk7smGKnvA/dxkh7pgQosS538Ms9csuu8z8ffHFF4PXXnst+MUvfmF2MKIcu93wPstUeEI0JrA+sWTDlPKzzz5rlFicQ1uaMihXf00d+F2+T2IXhYgJUV6QgdXuaJgFtfJcQzljfbsvC8p7/vz55q8NqmdbPyWlEZUMytZP1gLW3wRlax3ialMmDqbt/VkDIUT5kGXId+aOckKI6ti1ZdchjPd4yfM/0+MobutUxxozU9uQVMZmcrPx3eAqcN9BTwhRXpR1mtjdu3ebEBo8dPHWFUKEgzLGUz6MOXPmmPXlNGV8hzofBgPyJBeifMlyJjvzwHEc41imZ50g6SVEJYHTWNrpcyzvpDjtNGWYDUDxy1lViPLl4osvLl9L/cSJE8Fnn31mpvwOHz4cnDp1Kti3b5/JLOc3vGvXrln/vBBlC9PmWM1pMsrZKfa6loGoSBUhRP7QmroQ9QjT4PU5Fa6sbEKUP2RdLVulTmjb5ZdfbtJZsqZOGkm85Tt16qSMckIIIYQH6dTLVqm3adPGJJ1o1qyZWV/3X0IIIYQoDZkr9QsuuCBo2bJl4X82csFK568QQgghSkfm3u84x02ZMqWwfeL5559vrHb+CiGEEKIRKXW8e994441Crmni70gTq4xyQgghRGnJ3Hw+55xziv5Hme/Zs8dY6nFev4S8kSqPzDqnT58uONUREpcU006oHHu1Ww9CpvqJlU/axILv2DA7yrJ0wOvMmTOJ3oiUwwGQttFG2wbanpQdiPYhD2RDWdsGtqlNcphw5cLvITe+w3fj4PdcubhtiNpxz8J5unLhOnKdec9ncbhyoZ12tz5/H+64a8O50TfSXhvKunLhN/Hn4DyTBpeuXHjZPpvm2rhysXWluTa0zZWLfy/U5Nq490LStXHlQln3XojbEoJzdOWCvNx7IU0/tHKpST/UM0LPiLw+I04n3OcNotTfeuut4NVXXzV53xGW3eCFk2jbtq3Z7zkOtmxkm8rjx4+bsuzUBOz8ZLNmRdG9e3fTqT766CNzA3Xu3Nn8tbtlRUGHsEn0t27datpJzvpPP/002LFjR+x3r7nmmqB9+/bmQtpk/NS3f//+wtJDFLTviiuuMPHKlKX9sH379sSbx5ULv4fc6CBJ58rvuXLBz4FlkSNHjphBVxzXXXddkVx69eplOvWuXbuCTz75JPa7rlyQFdvwQlJ7uZ6uXOgbXB/6Av/HQVlXLvwmyVeYMWIfgjhcuZBfoXfv3ubznTt3Jj4UXbnwgKAuHshJ50rbXLn490IcyMSVi3svHDt2LPa7rly4tu69EKckOTdXLmy37N4LcSBbVy7uvYC849AzQs+IvD4jPvjgg+Dmm28OGmyXtjDefvvt4OTJk0ZQdI7mzZsXjmkUXoxG4ZU1Cpel/n/IUtczwqfSnxFffvll8Prrrwd9+/YNyk6pA6MWha4JIYQQyTDoW79+fWGGpewc5YQQQgjRMEipCyGEEDlBSl0IIYTICVLqQgghRE6QUhdCCCFyQqbJZ4hRJP4ON302doHdu3dXC49p3bq1CYE4evSoCYNzYYc3YgBx+ffjBfGqv/baa8174gP9sBByzhOawJ7ufmwkoQTEJhKCQDykDzvKAXGKfhjR1VdfbcJE2Cfej/3lXIlHJZQhLJazXbt2JvyBeFM/pOSqq64yMb6EbpBe14XQDCtDZOpjZUispB+jS53UTUjLoUOHImVoY3bDZEgsMNfThTjOFi1amLCPAwcORMoQ+fphIVaG1EndLoSlsEUooSh79+4NjYElfIX+4Ieq0FfoM2EyJGSF2NkoGSJf5EwcsB/aRFjmlVdeGSpDwmGIh42SIf2BfkFfoc+4kL+BcM8wGRLqQlxzlAzpv/Rj+jZ9PKx/R8mQeqk/TIa0h3ZxL3JPhvVv7mHu5aj+HSZD5Icc+dyPy3b7t54Ryc+IJNwwOYUqVjW6UMWy3HqVh/W0adNMh+KB99RTT5nPR48eXa1DPPHEE+YGWb58efDSSy8VHbvzzjuDUaNGmYflvffeW3SMB8+LL75o3k+ePNncBC4zZ840iQxefvnl4Omnny46dsstt5jvcMONGDEiNHkOTJ8+3SQRcJk0aVJw6623mrC9xx57rOgYW8zOmjXLXNCweletWmUeQiTl2bhxY9ExzpPzJfnBww8/XHQM+SAnW86P9VyyZImR89KlS4NXXnml6NjgwYODe+65J/jwww+DsWPHVntIvPDCC+b9Aw88UE3Bzp07N+jatatpN9fHhTjK8ePHmwe0f650VGItgdz/vhJ98MEHTcgGKYQXLFhQdKxHjx7mO9xcYTJcu3at6VfI/g9/+EPRMfrXHXfcEWzatCmYOnVq0bGOHTsauUNYvcuWLTMP+cWLF5t2uQwdOjQYNmyYSaQxYcKEomMMQNiJEO67775qSmfevHkmqQRytrK2DBgwIBgzZoxR6H6bOEfO1crLVyzICFmtW7cuWLRoUdGxH/3oR8FDDz1k7sOwc33ttdfMg3P27NnBtm3bio7df//9Qb9+/YINGzaY4y5dunQJHn30UdP/wupdsWKFUbALFy4M3nnnnaJjw4cPD4YMGWISgXDvuaDQ9YxI/4yIAgWKIkY5rFy50ihIJRU62+iSCiUlvGmQOHUekDwQZsyYEVx//fUahf9/ZKkXy1CWuix1kKWejaVulTr3JQNbZC5LvapRWerUw4D4xz/+cVCWSv25554zSl0IIUTtYaCKxdmtW7eCootT6syIuJk8ReMApc6ArGfPnuXlKMcIkek2RrpCCCHqBjNPLMv5M1BC1ItSZ1rhe9/7XuxObELkDabfWadlPZO//nS7C2U4HlfG+joklRFCiJI6yrGu+7vf/a6wg40QlYB1dLQKHgdF3znOLeuDD4rriIfjDYODiRMnlrDVor6pzdaarEUzNcvfqO+7n9sNRuy6rwgH3wXWsPHj4X3//v0jjVGcje39jeMejsJhZXEUxSm0HIzaTJU6nrv/8A//IKUuKgKUuAsOWr4XvQXLG2U/cODAwmcob9+znjqto5fID7fddluNv4PDFt7gLGsyExqGdSTDUYvoD6vMiVgQ4RAlYiOLUOpEJvjRRxYU+qBBg8z7Z5991kS72O+6ip9jKPVyQMlnhKglKHC8u134Pyr8x1XoTMW7/0d9JioXvNFR5vxNAmWOV3VNIXws6pVH/ssLccRajwp/Q1nb0FUbNspnfh1EdlBPLpPPCGGVkw09svG/eSRq3dsPlXJlYb9HGdci5zO3jMgX5BYoBXi/E/ZGEBPWpg3TqumW2ZXCli1bqkUSEKqLsu7QoUPR5/zPdLvFhslR3sI0Psqe6fe6UNPrFoeUusgUlBMdnEQ0vMfpq5yVOm0kaVJSZIc/TZ5UZxzIhLV0P4lLWGISkQ+IxS4FdvqddXfinmu7lm4TB9k1YcLo8sifI+LXCR8MA4XtJh9CLlZG1FUOa+glU+pME5GJrBxPUtQvZH3DKYwMW2Ej2PpcN2YqnAxbUWAd+wo2LXzXt8r5P87iRuEzbe+W4f+77rqrVm0Q+YWESWSUIwOjTXwTBclbotbdk0A5rV69OnjkkUfMe+5ZX6kz5VxfU8xhVrMLbXSnxcO49NJLC2vhaUhKVsNxBj7uejpKHie7LCjLNLFYM6TVVJy6IGscU/BYwKwx23VilBcWvKtE7VT95s2bzSAgzKpPU8Za3HfffXeREkd58h2bwjbqe7Wx1GlH2KCFtKBxA54wpY+l7g56ws5FVB5+eugoyCBXmzV1Cw55pCam744bN65oupo+O3LkyGpKtU+fPpHKN00ZOzuAVzm/awcSGIa0gUFGGBx321MTvvWtb1WzynHyTjJGuc9JrmbLIRfOLStwdCw7pc40EMKiE9LBROWBMkKBkgoTRe5b5ChWFJUFJU8ZFCbKyw0Pq0kZ4METNu3N7/OKmh2oi6Xu18dv8HCySptZAt675fjMd67zByk8sHjJC16khecu4Wy1tdbXrFljlCyKGCvXTjtzX/nKiwFAkmWbVIZ7GOsfa5pZCNcjnRkBG24WNjtQF0u9W7duJu9/WP75KPBspy7a4p6T3QsAaGvSICYO0s42qFJn/cbP50seazYyIEWs0sRWJigh1ottWBf/+5ama6WizKxCswrRJ00ZWy7KGi+lAxphapwzmzowk+DGqGNt87lv5UcpawYl9sHGQAPFLktdpFXqSTnWw0AZsaEPG+egyPnfn231rVgUo7+xkk9SGY5byxzvcV+pxlnOdbHU/8obJHC+/Lb9Pab+eW/LMdBBSVuFbqfc3fYDswp8XtslCnLmN6hS52Hlx/WxU5YQcc5ecQ5kTG8lWcxpytTmt+sCCtq2yQ9HC0tCE+dwx+CD4zVxyhOiLqCEsELt7Bf/u5ZmkkWeBaznhynpUv32Qw89ZJ4lGJ9M/bu6DGubz5EJCp8lCRcUvruOThut5Y9Fz7HaWOpZrqkTClFjTp8+XXXy5Mmi1+LFi6u6dOlS9f7779emSpFzFi5cWDVhwoTQYzNmzKjasmVL7PfTlKH+sDJ79uypGjFiROL3hSgneM7u3bvX/I3iz3/+MxtyVbVo0aLqyJEjmf7+6tWrqx5//PHQY3z+wQcfxH4/TZnly5eHljl06FDV7NmzE7+fB86cOVO1YcOGzOqr1eo88/+sWbgvvC9FZUOSjKgX3t1+BjZgqp6pc6aZrUNcbcrEwe+yfaumskVjgucsW/xmud5aE1gf9hOtZIndgQ7L1jrN+QldamP1VjrKKCcygwQYUS/rMOYqdt7j+Ea+dJSuuybOzc7xNGWs4scJ7fnnn6+W0Y3vlHOsvBBhHDlyxKQw5W9DYNeWfcWOMmbtmfVl/rpLb7ZsUhk7tY1H+eDBg6utv/N/XmPlS01m3u8tW7Y0F6h9+/ZZVSlyDkqe8Lcw3nzzzULWtaQyvkOdj7K1icYIoVavvPKK8Vdiv/RywXcSs8yZM8e0OU0ZBgt43EdRroldKspSZ4qVOMk0eYpFZYIneNrpcyzvpJCuNGWw5FH8fhiZEI0Vwofdl+tB7X9WV3Aa86fGo8A6T/L+TlMGKx7F76ZjFQ1gqR87dsxMfbZr1y5o06ZNVtWKHIF3OFZzmoxyaTY2Sbv5SdRWqEI0RtavXx/qNb1z587C4JXsnllAmBtWc5qMcm5K1bqUgahd00Q9KnViJHfv3p2ta77IHUyD1+dUuBK4iEqAWdJSOdQxDV6fU+HltONZY0QbugghRBnStGlT40TGX5fevXsX7dJmlTrWeak2jhGlJcssrFLqQghRhrClKlEfcQrAviejHGvpStHdOMlyMKaQNiGEKENOnToV/Md//If5mwRK/fTp0/XSLpE9hP2WnVJnnZTNOpo3b55VlUIIUbEcOnQoGDt2rPmbxtK75JJL6qVdInvSDNzqffodR4qOHTsGR48eDU6cOFH0ORsEsIPQ/v37q33P7hN88ODBaiPNq6++2nRUPKbxrndhN6JrrrnGhHGwK5gPXvisM+G1aded3Gkt1qnYVe7w4cNFxy644IKC9z77Gfu0bt3aOKSQEMLGZFqok7q5QP6NyLSYddrC+9sPOyHOv0mTJsHx48erxWUT2kGcKs6IbJwTJUPki5zDZEid1O1y8cUXG6cURvl79+6tVi/JXtgS8OOPP67mANmsWTMzkAuTIQ+YVq1aRcoQ+SJnskb5+Z3x3mWr0zAZkrWQDFtRMqQ/0C/oK36u98suu8wMOMNkSBimza8QJkP6L/2Y0Di3b7v9O0qG1Ev9YTKkPbTr5MmT5r4J69+M4HFAjerfYTJEfsiRzzke1b+p17cQbP+mPbTLhevNdec8OJ+o/r1v377gyy+/DO3fyM/fg17PiOoypH+HySIKrqPdJTMK7kvuIa4NcrSDANqSFAbHs4Jnge3DyJbfTMrPznf4LlAW2fGinUlO1ZRDjrSNNto20Ha/f/lcdNFF5trSpyhr28B1Tto8xZULv4fc+I7fR3z4PVcubhviNtvh/Mpy61X493//92Du3LlFseokBJk8ebK54cI2+7Db102fPt2EZLhMmjTJbOX59ttvmx3gXNiti2xLXOCweletWmUeQvPnzw82btxYdGzUqFGFLTz90AkeIHanLMr5N8mSJUuMYlm6dKlJDOGCUwtrYGRQYoTtwo1sQ6vY1ctXsMgNRxfazY5JLn379g3Gjx9vHtD+udJpbJa1KVOmVHvIkLXppptuMjHdCxYsKDrWo0cP8x06YJgM165dax7EyN7P+DR69GiTFGPTpk3B1KlTi44xuEPuEFbvsmXLzEN+8eLFhR3dLEOHDg2GDRsW7Nixo9rGJgxA7JaL9913XzWlM2/evKBTp05Gzn4Y24ABA4IxY8YYhe63iXPkXK28/IcpMkJW69atCxYtWlQtRIcNIhg0hZ3ra6+9Zh6kJGbatm1b0TF2x+rXr1+wYcMGc9ylS5cuwaOPPmr6X1i97L+OgmVjCj+OePjw4cGQIUOC7du3m3vPBWX01FNPFa6hbyHQ97kH6IMvvfRS0THuGe4JFM69995bdIzByYsvvmje85t+FrKZM2eaPAVsfvH0008XHdMzIvoZgVJDtlGgrFBaXGtfNj7sRsbgiXrZGpXnArCpiT/48Onevbtpix1Md+7c2fwN2wbZbx/XHbZu3WrkwoCf+4V7PA4GZAyKUaZkiaQe6uP+9AerPp07dzYDW/ohZWk/IKek3excufB7yI0BSNK58nuuXHgWcY8yuAsbVFoon+XmNeeQAD6LiripeMgiANdZQ6Pwr5Gl/n/IUv8aWerFMtQzovozwvbbJJKsQZClHpStpc62zQxOy06p23ALeWAKIYQQyaDUSShkZwjqirzfhRBCiJwgpS6EEELkBCl1IYQQIidIqQshhBA5QUpdCCGEyAlS6kIIIUROyDT5jBvHp/hkxSeD4pMrL4cBddIPFY9cHc7TlQv3AM8J3sdlgwNXLrSTPgH01bSx4pwbz9O014ayrlz4Tfor5+n3Jx9XLrzs9q1pro0rF1tXmmtz3nnnFcnFj82vybVxY/OTro0rF8q6sflxUeOcI+dWlkqdBwOZon7wgx8Y5aJMYsokBsokVlnZBnl4sgkJ/YLf4yGszGHFgyE3o1qvXr3MdUJW/qDXx5ULsrrhhhvM50ntRVm5cmEgTT9l4Mn/cVDWlQu/yUCSgbY/wPdx5cKA324Zy72cpJxduaAsqYu+lXSul156aZFc/Cx6cSATVy5uFj3fcPBx5cK1dbPoxSX24dy41zjXrMgs+QwKGwX13HPPBddff70sdVnqBlnqlWWpc3633367kRODPdonS/3/kKUuSz3MUmcA8rd/+7dBWSt1IUTlwUMXq4pBOLNbdtAshAiHwey7775rZuOyQI5yQohMlTrWSlIucSHE/5Hl/ZKpo5wQWcJU9MqVK83UNO9Z22UpIAzWYu3aFmWZlrdra8C6MZ/baW7W80XNSJq+tFPZTP7xYsozaYoWmPIUjQ+Wr/DrYZmG9/379y9MsceBPxC+P2Fl445V+r1V70qdtdyf/exnZp1OiCywDmuAQsbRzHeEdB8G1okNhe2WQ6HzP2WoBwe7JIcmUZ3bbrstsYy7pozDZxrPXsqJxgeOwvaeQ6njnOo7l/rgKPrss88axV2TY6IBlDqOAngdW+cTIeoCytcFC9uPmHDp1q1bwYnMt+ZHjhxZGBxQj/UIF6UFJ6NKIW6HLbuDZZ7wo1yw1pM80wEHXsrW9JhoAKWOlx+hLH/zN39jvLCFqAsocGZ/XPifaXZ3Wt0lbGqewQFe9xzjuyh1OwUvagahnUkQMUBYqw1FzDoGt1zJo+KOAwXuG3BEOmBtd+jQIfQ7TNUTCsyMWU2OiQZS6qxhsv45cOBAKfUSgoxdBZbXtWE/NNESFctr+x9s3rzZWOcobxQ5gwGOISumC/mcfipqBuFBNSnDWnmlrZfb3BF2TZgZpDzih9NaosLrKB+1Th53TNQcOco1IlBcjGSZPuY9iUrKWanTxmnTpsWWYQDoJxtKqjMM14kOpW3XzRkEYK0jJ45TjpjxjCI5RQzE41dSSBvKafXq1cEjjzxi3nOv+kqdaev6mmKOs5qBNtqkXlFgfQ8aNKjOyp5EUjjS1fSYqDlS6o0MsnfhQIbSCpuqcj28S03cVDigRGfMmFGruvmub5XbafQwOG/bFustb2XBd+z37N+ktgtRG8haRqY+/IvGjRtXNF3NvcsMkq9U+/TpEztlbbPeUWeY5R9VD9YvbWCQEQbH3fbUBL7rW+UkXAqzuDl32hZG3DFRO6TUGxk4gzGVjAXMtLKdRmYNGgveVaLudDSDgDCr3lrTd999d6SSi6oHBcn/UY5ndbHU+Y2wQQsPNh8U9M0331wt25q/Ji9EqVmzZo1RxChZrFzWiQGF7isvBgBRlq1VeFj2WMpkBnS9zdPUw4yADTcLmx2oi6XO4ILUzz6kZQ3DpnwG2mMHIXHH4mYZRMZKnbAVPx0i6e64oJXiGFPfuKFYKHLfIkexopj9uGwUJsraDQ9z4WETNaWdVI91OouaHaiLpe7Xx2+g0F1Lm/e2De7v0GZkZC10vsc58t62VVZ6acBSI90mKTMrCZQRezqQmx9Fzv+kQHbxrVgUo5s334fj1jLHMzxKYcbVE7dWXRdL3R8kcL60z/4eU/+8p5x7HsDMAdPtto64Y5XCeRneL7VS6lhffjwiG7L84z/+o8m5LbIHRcQaug3rClNM7tQ0lq61qK1CDIMycSFeSfVETYdnAbHlnDObIzBL4Mae0wf5nMGGVdxsHsN7Bj5uWVsPDw8GJAppKx0M7u2rkkAJYdHaAS//u5ZmnEWeBtbqa6uA6/rbUTBzwGwaacFZHnB1AtY2n7tWPu2w1j3x6ChvK6O4Y5XAN1M4oaamqhacPn266uTJk0WvV199tWrdunVVf/nLX2pTpagjI0aMqNqzZ0/osYEDB0YegwkTJlRt2bIl8TfC6kn7XVEZHDt2rOrb3/52Va9evao+//zzhm5OWbB69eqqxx9/PPQYn3/wwQex31++fHlimah6Dh06VDV79uzE74uG48yZM5k+Q2uVHYLpNdZa3Bc7Zf3iF79Qpq4GgHU2OxXtg/U6ceLEOjvPRdWD9cBo3aZpFcKS5XaSjRnWh/1kLWnB8meGCavV32o5DTahSyVZvY2RpN3yakLlpHzK0bSm/7rrrruqZWADpuqZOmea3jq71Ya4evhdtuHUGrUAfGqITWeNMGl/8ErBri37ih2FzdozjmL8tRB2SVleeNKz++XgwYOL1s1tmbh6gO/kNVY+T1x44YWZ1aWhdCMhKa7ad1jjPU5t/I+TGErZespzk7PObFOvula2Vc62DETVE+agJyob9ry2G7pkaX3kEd+BzDJnzhwTHsZAAG/6MGyZuHpAiV0qb1ZLSj2noIT9EC/Lm2++WbCiXEe4sDJx9YD1KheVi7ttJIrGbr2KgudvpXnCh4HTGNPnaRK5YHnbULi6lMGS53qwPCrKG3Y0zApNv+cEPMHTTrFjnSetsacpY/OqKx68slm/fn3htWnTpsLnu3btCt59990GbVu5gALGozvN2nqSsk5bBvBIl6Ve/qTZorjeLXViMn/1q18F7dq1y6pKUQOYEsdqTpNRLk3e87S50aO2QhVCFINyrU8FW2mx3iJjpc4UGx1WHq8Nh5sOtT7QbmcCevfuXbRLm+uf0bx58wZqlRCVSWbT78ePHw8WLVpU69ANIUTjhAG9+7IwwNR6uhCNVKmfPn06eO+994IvvvgiqyqFEI0YP5W0EKL0yFFOCFESmL0TQtQvUupCCCFETsjcq42MRu46Gs5zeMbjsr9///5q5dlSEA4ePGim8F2uvvrq4JJLLjFe3aSh9TNXsXkMsbBhqWnxwsdpjzV+f0ngqquuCpo2bWr2A3Yde4BsWG3atCmE5Pi0bt3aZP85cuRIIfmDhTqp+9SpU8GhQ4eKjiETNzGMG9sLLVu2DJo0aWKsGz8unDjTFi1amOnMAwcORMoQ+fqhEVaG1OlbThdffLHxkD1z5kywd+/eavWSKe7cc88NPv7442qJRJo1a2bWTMNkyOYErVq1ipQh8kXOpLD0N5sgPI7tWMNk+I1vfCNo27ZtpAzpD/QL+oq/89xll11mnLbCZEhWvvbt20fKkP5LPyZ878SJE0XHbP+OkiH1Un+YDGkP7Tp58mRw9OjR0P5NEpfdu3dH9u8wGSI/5MjnHI/q39TrJzWy/Zv20C4XrjfXnfPgfML6N385X+5Lft/fc9vtI1xP4nO57+mjwHX3r6sP/ZZ+aeWJrDiPpI1L+A7fBcoiC15cu6REOZRDLrSNNto20PakGGPax7WiX1HWtoHnEnKKw5ULv4fc+E7SMie/58rFbUPSsgjn6cqFPs415T2fxeHKhXbyTIOofhB2bTg3+kbaa0NZVy5NmjQx/ZDzTAoVc+XCy0YnpLk2rlxsXWmuDW1z5UL7y1Kp83BCsGQ6cndoIrHJ5MmTzYOW1IY+di/d6dOnBzt37iw6NmnSJLPd6Ntvvx089thjRcfYlWvWrFmm84TVu2rVKvMQmj9/frBx48aiY6NGjSpsIervNoeCtHsWU87vxEuWLDGKZenSpcErr7xSdIxUjvfcc48Z2IwdO7boGMrehn+xY5ivYOfOnRt07drVtJvtG1369u0bjB8/3jyg/XOlQ9pdx6ZMmVJNiZJm8qabbjJx5wsWLCg61qNHD/MdbvowGa5du9Z0PmTvb+04evTo4I477jBxyVOnTi061rFjRyN3CKt32bJlZhCzePHiwq5z7m5/w4YNC3bs2FFtn3UGIHb/5/vuu6+a0pk3b17QqVMnI2c/1G7AgAHBmDFjjEL328Q5cq5WXv7gExkhq3Xr1hlnUD9emN2qGDSFnetrr71mblpSfW7btq3oGFt19uvXL9iwYYM57tKlS5fg0UcfNf0vrN4VK1YYBUvefT8n+PDhw4MhQ4YE27dvN/eeCwr9qaeeKlxDlIULfZ97gD740ksvFR3jnuGeYEB17733Vrv/X3zxRdMmZII8kGPUtr5s08lgiPuA/cDpo8BuX/5g2ad79+5G8diBXefOnc3fsK2FXVAa5HOArVu3mvuYwSdtpb/FwQCLARoPbDIwUg/1cY7+wMmH9jHIwsCgLO0Hrk+SgnXlwu8hN5RI0rnye65cuC+4NhgjSftzMJh35dKrVy/znOHZkpT615ULsrIZKpPay/V05ULf4PrQF/g/Dsq6crnhhhuMIYSh6A8+fVy57Nu3rxDJgS5KUs6uXFDU1MWgLelcaZsrF/pVUsbQmnAOu7pkURGKl4cswpWlLktdlnplWurAoJa2UTYKWeqy1F0q3VLftGlTYQBXVzJV6sBIR2EsQgghRDIMFMnGmJVSl6OcEEIIkROk1IUQQoicIKUuhBBC5AQpdSGEECInSKkLIYQQOSHT5DOETdmYPRuiRQiQH9uoMLevUZhbPsPcbL1RRIVB+aEufthXTcKQ3LCvpDAkNwSIsm7YV1xwDDJyQ4C4t9ywrzQhVzYEqCYhVwqHUzhcnsLhzib02QZT6iiIadOmGaHQ2JkzZ5pEBC+//HLw9NNPF5VVQpqvUUKa/CakoZ32oeRC39y8ebO58TknIBkMDxY/KYWfoCUO+p+brMNN0OIPfn3cZB3cx26ClrgHDg8/N1kHA1g3QUscDADdZB1ughaSgMShxDVKXJOnxDXAICQrMotT56FMVqwZM2YY61OW+tfIUq88S93KIQxkw8ODNv/sZz8zn/3rv/6raaMsdVnqPrLUK8NS37ZtW9CzZ8+grJT6c889ZywW0lby4BeiEuFBwmCJwRw3fJRSZ+birrvuMp9h7fOAEEJUHmfPnjWzm1kp9cwc5bD+fvnLXxasJiEqEWY3UNZhsxyARcFUobUshBCirHdpE/mB6eyVK1eaJQLes+4cNa3sgn/AxIkTC2VZR7Tr5KwnP/nkk6nqySNMFTJFmTQ9J4QQDarUWafG6QqnMbueKxo31nEQUOo4/PnOZj4ocJwkUeoWFLp1cOPYzTffnOj8Uq4krW2zFsd0Gn/DyrKGhlON9dEQIqvnL7v14Q/D+/79+xfWeH1w2oUOHTqYsqyb8x6oo1u3buZ91PdFhSh1u39y1u75omFAibtgrfte6VHfs85/VskTFWGV+sCBA40l75drLNx2222xx1HaeGSz/WnYOjn3B844fjSDEHWB7X9thA6KmiggP4rHQkQSL0CBu+WI9PAZOXJkMGjQoJK1XWSLpt9FKChwvM5d+B8lbUNNfJiqt0rbQlmm2y3WA92vu1LAs5alBznGlY643a7sbpJ5AiXugrUeNxOGVb5mzZpq1jhGGQqekEzLs88+K4XeyJBSryEoLrBrwsTc5xE//MsSFWtK+ah1chS95fnnnzcya6xr6niqx0EwCR7weL4TshJ2nFmtjIJORIUo7jhQ4DZ8zQ15ZZrdTqv7RE2tuwqdqXj3f9E4kFKvASguQvZI7MJ7LNJyVuq0kanvOIj/9hO6JNUZxooVK0KTyvjfZVDUWNfTgZjWuuCGtInSglJyFZhdK84bUTH2UfHdlLeyITEN6+9Y977VTs4NPhf140BbdkqdhBtkFCPZR54hixoOZGS1Q8H71OdacdxUOGANkwyoNvBd3yrn/zALm6l6G3MdB4MgBkSN1UpPA0l5SMJ0//335/5eKGdQSqtXrw4eeeQR85571VfqTFvXl9KKs5qBNtrMiFFgfddkKjxK2btOdCRRoq/6Ph7Ii7V0UT9kuRyXmVInTIeMbXlfKySxCNYmFjDrwnZqGcWGwnKVqLWU77777th1aBvqxUAhzPKPKoNy5H+bEjZLS53fCBu0kIo3ylJ3Bzb+eeP1jlJnwGOt/TwqdxzlyA6VlMlKlB4cFnH8os+OGzeu8DkzJQzOXaXlWq6UD7PqreLt06dPpIKOKoMSpQ0MMsLgeG2VKN/1rXKs7KgpdgYztm3WW94d4HAOyEje742TzJQ6D2rWsq6//nqTiCZvoKhQoKSfRZH7FjmKFSXmwoMjarraDgSoB6WK8nNDyNKU4fdtDHnY7EBdLHW/Pn6Dh50be857yvkDER5OvGwdDEpou1XoaabqhagrOIOhrFGyWLl2fZj7EqVr4X5CqWEFE47repL7g4SkdLJRZVCYVoGGzQ7UxVJnAGK92V3IaR42Y8AeCdZRzq3bPQcp9PolKXVvyZU6Mbh+DmAsWJT6z3/+81wqdRQSlqYN6+J/3/r2LU+UXZQVbY9bhWiVZk3LlNLaJSadc2ajBWYJ3Bh1LHE+d618FLZ9GDKYQLHTPgYifpul1EWpQHHaKWUUOf8zzeziKi2UorXM2XsgTBnacv4mRjUpE6co62Kp+4MEzpdzsL+HIue9HVi4v8OABhm5baO873gnSkuWG7rUSqnzQPdjINmdK+/EKaI4izwNTHUnWdVRZer621EwcLG/53qwQ1gSGpQ1St6fzpent6hPUFxYtHZGi//dqfA4a5t1+FKuJSdZ+rWF2QWeD8yUsoTgPp+ZAeBzZILyRuETqsZ7BgBh8exykKtf2FimQZU62cKYwnH5l3/5l2pboVYKWKd2Kro22Axscd+PKsMDyFrFcU5zon5g1zesxLj91EXpwRksDKaprdXqg6IbMmRIyRQabeI3+BvnNFcbXAvcD0PzlTa/Hff7ikuvf5J266sJ59bWKY41GPeV5UijHCHmOOqF57efgS0tTOczvY5Ctg5xNSnD77IrnhR6ecB2rv369TN/RfnBWrqfrAWw6pk6R9lZp7msYWrfnzUQApK2ea0JmQXHsesUG7/n9WHGFHLUy1rpvmJHGeNQRsIV/lp4eFCWF+vN5FRHMbvr72nKAP+Xc6x8pXHy5Mlg7dq15m/c3s9ZxqWK9Fgr3VXsvMdLnlDEwYMHF62Js+Rmy6L4WW9+6623CvnT05YB6s1rrLzIofc7+0ez7qppx3AnN5c333zTxHwzEMDBMIw0ZZIyuYn65+jRo0Y5YI2FDXBR6DgYKuStfEDJ+97gljlz5pjwMN+hrqZl7Hq6vMpFqTk3y+kDEm/4XvGVAg/qqOlzHyz4pPX3NGWw4lH8lZpHvVxgkxb3xeyN/5n/crde5X1UOZE9OI2lnWLH8k5aY09TBksexe+GjglR1pa6tVAIueKmqTSYpcBqTpNRzvckr20ZSNoKVZSe9evXF94zsKUfMNV6+PDhamWx0Pfv318UNvXee+8ZP5UwunbtWqJWVy44kmE1p8kolyb3edr86FG7pgmRJcr9niFMg9fnVHhj3Lq00mGjF2Km8+5YWu4wDV6fU+EKERP1hZS6EHWkd+/eRZb673//e/NZXO7306dPF95/73vfq/NGMUIIAVLqQmSwR7qlTZs2wa9//evIsmzLiuOjq8TxhHfrEEKIBneUI16bB1XYHtJCVAo4yZFIIiqLHmvqO3bskPe7EKIkaWIzU+otW7YMpk+fHrRv3z6rKoVodOzevTv4yU9+Yv4KIUSjSBMbBQk3du3aVTSViDMKjkGEvOH168OuSHDw4MGidUZgYxg2FsCb+NixY0XH2OKVNUvCgdg5zYdtYHFKwsPV3wHnqquuMnH1bFfoeygzYmIKFTgXn9atWxtP5SNHjhRiUy3USd2nTp0KDh06VHQMmVjHNjzk/XAlBkVNmjQJjh8/Xi0unTCYFi1amHDBAwcORMoQ+fqZiawMqZO6/ZhpHHiYEt67d2+1ekl2w9Qw68S+ZdmsWTPjFBgmQ2ZsWrVqFSlD5IucybDl58ImPI/tYMNkSMdv27ZtpAzpD/QL+oqfD5+YcXIohMmQ2SU7GA2TIf2Xfkz44IkTJ4qO2f5tZRjWx8PgvPkOIEP73pUh54vVz31hN9hALkmhbja5jb1myISZg6S84zYxjm0f14gXbUuaWaAc9wVto422DbQ9KQUm7eNeRe6UtW3gvnVD/8Jw5cLvITe+k7TrFb/nysVtQ1JYLufpyoU+QB/ivX8dfVy50E7uefC3To27NpwbfSPttaGsKxd+k+cR55mUycyVCy/rXJjm2rhysXWluTa0zZWLfy/U5Npc7NwLSdfGlQtl3Xshbv8KztGVC/Jy74U4KEt7s0wTm5lSp/G/+c1vjNDdKXiSr0yePNk8aMM2RCHzEmDl79y5s+jYpEmTzHan7P7m55UndG7WrFnm98LqXbVqlVE68+fPDzZu3Fh0bNSoUYUtTP0wExSk3WmMcn5HWLJkiVEsS5cuDV555ZWiY2SjIvMbmaTGjh1bdAxlb8PP2PnMV7Bz58414Uu0m92lXPr27RuMHz/eKEH/XOkUNsvclClTqilRMmXddNNNJu59wYIFRcd69OhhvkOnDZMhmdHo6Mje33lq9OjRZhOfTZs2BVOnTi061rFjRyN3CKt32bJlZhCzePHiwq53lqFDhwbDhg0zU9T+xjAMQOz2lOw94GdtmzdvXtCpUycjZz/Ub8CAAcGYMWOMQvfbxDlyrlZevmJGRshq3bp1waJFi6qFM7GZBoMmWy83dFRmRRu6Rjt+9atfmfd+vwdC3hgs0E/YCpNrCGzW4Q8mfbp3725+xw58OnfubP762/pGJcaBrVu3mn7O4Ixz43rEwYCKgREPNbInUg/1IUv6bRy0j8EcA3DK0n7Yvn17ooJ15cLvITce4Ennyu+5cqHfMFBlsB5mJPiDXVcuZNLkPuTeY+AXhysXZGXTOye1l+vpyoW+wfWhL/B/HJR15cJvYihgSDFgj8OVy759+wpOofTZJOXsygVlSV0or6RzpW2uXPx7IY62bdsWycW9F3zD0MeVC9fWvRfiBtKcmysXjDv3XogD2RICnjSoqwnnVGW0hRaKl4csF0CWuiz1SrXU3d+KIo01KEtdlrqLLPV8W+rvvPNO8OMf/zgoO6UOjFjkySuEEEIkg/IngZWddaor2lVCCCGEyAlS6kIIIUROkFIXQgghcoKUuhBCCJETpNSFEEKInCClLoQQQuQEKXUhhBAiJ0ipCyGEEDkhM6VOOj4S0CRl7RHZQeYjUpQmZcAS2SB51z+Sef0jmdcvJGtDf2Yl88wyypEylfSYpIolrakoPZJ5/SJ51z+Sef0jmTdumWv6XQghhMgJUupCCCFETpBSF0IIIXJCZkqdrebYi9ruFy1Kj2Rev0je9Y9kXv9I5o1b5pk5ygkhhBCiYdH0uxBCCJETpNSFEEKInHB+TQp/9NFHwcqVK4Nrr73WvB8xYkRw+eWX17msiKYmcvzjH/8YvPHGG+b95s2bgyeffFIyrwW17bsPPPBAMHHiRMm8xPKmj1OO8nDLLbfUY2vzQU2f5cj8iiuuMO8HDhxYkL1ID8/ne+65J9iyZUtsuTrrzqoacMMNNxTe79mzp2rgwIGZlBVVmchxxowZRe/d74r01KbvbtmyBd+Uqk8//bTEratseb/++utVI0aMKJS99tpr66WNeaO2zxWw8hfpeeGFFwrPiCTqqjtTK3Uq95XE5ZdfXueyIpqayJEO4x7ju3Qg/or01LbvctOiYKTUSytvX8bq36WXuV9WSr32JCn1LHRn6jV1O/3iwv9MKdSlrIimJnK84YYbzHS75bPPPiuUF+mpTd9lqowpSVFaeTMV+cknn5ipSI7TxzUNXPo+zrFu3boVpuFvvfXWempp5fFGBroztVK3SsKHm6wuZUU0NZWjq1ief/55s9ao9d3SypzyknH9yJsHGw84u974xBNPmPeitH38hRdeMH+vu+46814D2NKRhe48v1SNqGtZUXs5cpyHXZJDhqi7zFesWGEcWUTp5c2DDWvRDlaRe9OmTZnPbJA2Vkofx3qcMWOGkf3IkSPNZwsXLqzn1lU2n9VAd6a21LmJ/NGCnQqrS1kRTW3liBf266+/LnmXWOY87O666656bF1lyxvrnM/tMftXy3qlkzmKnEgaBlIMovbs2WMGsnwusicL3ZlaqUeFjdx44411KiuiqY0cZ86caZQ6D0BGd5odKa3MecAxDcyLB920adOkZEokb62f17/M6cvf//73i64BYZt6rpSGLHRnaqXu31A8wPghd7RsR29JZUX2Mgem3HGYswodhSOZl07m1nqxL2B6kmsgSvNc4ZhVKDZWXfIuncyRLZa6y4kTJyTzOuAPiLLWnTXK/c4PsJbCyI0L7SbauPPOO83nEyZMSCwr0pNW5pTDkcWFcp9++mkDtbzxUpN+bm9SLHVmSFDuUuylkzeyRs54Y+MzYmelROlkzjITisceZzArmdcMZMiSKDOpyBX5WofDrHWnNnQRQgghcoJyvwshhBA5QUpdCCGEyAlS6kIIIUROkFIXQgghcoKUuhBCCJETpNSFEEKInCClLoQQQuQEKXUhhBAiJ0ipCyGEEDlBSl0IIYTICVLqQgghRE6QUhdCCCGCfPD/ALijcLKmx8jsAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax = pyplot.subplots(figsize=(6,3))\n", - "ax.grid(False)\n", - "for spine in ['top','left','right','bottom']: ax.spines[spine].set_visible(False)\n", - "width = .75\n", - "ax.errorbar(fmt='none',color='k',\n", - " x = 1-si_total_true,\n", - " y = np.arange(len(si_closed)),\n", - " xerr = 0,\n", - " yerr = width/2,\n", - " alpha = 1)\n", - "bar_closed = ax.barh(np.arange(len(si_closed)),np.flip(si_closed),width,label='Closed SI',color='w',edgecolor='k',alpha=.75,linestyle='--')\n", - "ax.errorbar(fmt='none',color='k',\n", - " x = si_closed,\n", - " y = np.flip(np.arange(len(si_closed)))+width/4,\n", - " xerr = np.vstack((si_closed-ci_comb_low_closed,ci_comb_high_closed-si_closed)),\n", - " yerr = 0,\n", - " #elinewidth = 5,\n", - " alpha = .75)\n", - "bar_total = ax.barh(np.arange(len(si_closed)),si_total,width,label='Total SI',color='w',alpha=.25,edgecolor='k',left=1-si_total,zorder=10,linestyle='-.')\n", - "ax.errorbar(fmt='none',color='k',\n", - " x = 1-si_total,\n", - " y = np.arange(len(si_closed))-width/4,\n", - " xerr = np.vstack((si_total-ci_comb_low_total,ci_comb_high_total-si_total)),\n", - " yerr = 0,\n", - " #elinewidth = 5,\n", - " alpha = .25)\n", - "closed_labels = [r'$\\underline{s}_{\\{%s\\}} = %.2f$'%(','.join([str(i+1) for i in idx]),c) for idx,c in zip(idxs[::-1],np.flip(si_closed))]\n", - "closed_labels[3] = ''\n", - "total_labels = [r'$\\overline{s}_{\\{%s\\}} = %.2f$'%(','.join([str(i+1) for i in idx]),t) for idx,t in zip(idxs,si_total)]\n", - "ax.bar_label(bar_closed,label_type='center',labels=closed_labels)\n", - "ax.bar_label(bar_total,label_type='center',labels=total_labels)\n", - "ax.set_xlim([-.001,1.001])\n", - "ax.axvline(x=0,ymin=0,ymax=len(si_closed),color='k',alpha=.25)\n", - "ax.axvline(x=1,ymin=0,ymax=len(si_closed),color='k',alpha=.25)\n", - "ax.set_yticklabels([])\n", - "if root: fig.savefig(root+'ishigami.pdf',transparent=True)" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "Data (Data)\n", + " solution [[0.315 0.421 0.004 0.735 0.558 0.419]\n", + " [0.565 0.444 0.244 0.987 0.558 0.688]]\n", + " comb_bound_low [[0.293 0.409 0. 0.706 0.534 0.399]\n", + " [0.541 0.435 0.234 0.974 0.539 0.667]]\n", + " comb_bound_high [[0.336 0.432 0.008 0.765 0.582 0.438]\n", + " [0.59 0.452 0.253 1. 0.577 0.708]]\n", + " comb_bound_diff [[0.043 0.023 0.008 0.059 0.047 0.039]\n", + " [0.049 0.017 0.02 0.026 0.038 0.042]]\n", + " comb_flags [[ True True True True True True]\n", + " [ True True True True True True]]\n", + " n_total 2^(10)\n", + " n [[[1024 1024 1024 1024 1024 1024]\n", + " [1024 1024 1024 1024 1024 1024]\n", + " [1024 1024 1024 1024 1024 1024]]\n", + " \n", + " [[1024 1024 1024 1024 1024 1024]\n", + " [1024 1024 1024 1024 1024 1024]\n", + " [1024 1024 1024 1024 1024 1024]]]\n", + " time_integrate 0.008\n", + "CubQMCNetG (AbstractStoppingCriterion)\n", + " abs_tol 0.050\n", + " rel_tol 0\n", + " n_init 2^(10)\n", + " n_limit 2^(35)\n", + "SensitivityIndices (AbstractIntegrand)\n", + " indices [[ True False False]\n", + " [False True False]\n", + " [False False True]\n", + " [ True True False]\n", + " [ True False True]\n", + " [False True True]]\n", + "Uniform (AbstractTrueMeasure)\n", + " lower_bound -3.142\n", + " upper_bound 3.142\n", + "DigitalNetB2 (AbstractLDDiscreteDistribution)\n", + " d 3\n", + " replications 1\n", + " randomize LMS DS\n", + " gen_mats_source joe_kuo.6.21201.txt\n", + " order RADICAL INVERSE\n", + " t 63\n", + " alpha 1\n", + " n_limit 2^(32)\n", + " entropy 7\n", + "\n", + "Approx took 0.0 sec and n = 2^(10)\n", + "\t si_closed: [0.31495301 0.42054985 0.00403061 0.73545156 0.5580266 0.41868287]\n", + "\t si_total: [0.56524058 0.4435145 0.24364672 0.98722305 0.557734 0.68753131]\n", + "\t ci_comb_low_closed: [0.2934895 0.4092381 0. 0.70577578 0.53435058 0.39922204]\n", + "\t ci_comb_high_closed: [0.33641652 0.4318616 0.00806122 0.76512734 0.58170261 0.4381437 ]\n", + "\t ci_comb_low_total: [0.54066449 0.43508219 0.23389506 0.9744461 0.53864679 0.66669245]\n", + "\t ci_comb_high_total: [0.58981667 0.45194681 0.25339839 1. 0.57682122 0.70837017]\n" + ] + } + ], + "source": [ + "a,b = 7,0.1\n", + "dnb2 = qp.DigitalNetB2(3,seed=7)\n", + "ishigami = qp.Ishigami(dnb2,a,b)\n", + "idxs = np.array([\n", + " [True,False,False],\n", + " [False,True,False],\n", + " [False,False,True],\n", + " [True,True,False],\n", + " [True,False,True],\n", + " [False,True,True]],dtype=bool)\n", + "ishigami_si = qp.SensitivityIndices(ishigami,idxs)\n", + "qmc_algo = qp.CubQMCNetG(ishigami_si,abs_tol=.05)\n", + "solution,data = qmc_algo.integrate()\n", + "print(data)\n", + "si_closed = solution[0].squeeze()\n", + "si_total = solution[1].squeeze()\n", + "ci_comb_low_closed = data.comb_bound_low[0].squeeze()\n", + "ci_comb_high_closed = data.comb_bound_high[0].squeeze()\n", + "ci_comb_low_total = data.comb_bound_low[1].squeeze()\n", + "ci_comb_high_total = data.comb_bound_high[1].squeeze()\n", + "print(\"\\nApprox took %.1f sec and n = 2^(%d)\"%\n", + " (data.time_integrate,np.log2(data.n_total)))\n", + "print('\\t si_closed:',si_closed)\n", + "print('\\t si_total:',si_total)\n", + "print('\\t ci_comb_low_closed:',ci_comb_low_closed)\n", + "print('\\t ci_comb_high_closed:',ci_comb_high_closed)\n", + "print('\\t ci_comb_low_total:',ci_comb_low_total)\n", + "print('\\t ci_comb_high_total:',ci_comb_high_total)\n", + "\n", + "true_indices = qp.Ishigami._exact_sensitivity_indices(idxs,a,b)\n", + "si_closed_true = true_indices[0]\n", + "si_total_true = true_indices[1]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "b2232e67", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 290 }, + "id": "b2232e67", + "outputId": "5894fb17-0b0d-4f0f-bb6e-0fb517068325" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 14, - "id": "8185b3d3", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 328 - }, - "id": "8185b3d3", - "outputId": "980c763e-6e91-4c1b-efa7-223a5a655a3f" - }, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax = pyplot.subplots(nrows=1,ncols=3,figsize=(8,3))\n", - "x_1d = np.linspace(0,1,num=128)\n", - "x_1d_mat = np.tile(x_1d,(3,1)).T\n", - "y_1d = qp.Ishigami._exact_fu_functions(x_1d_mat,indices=[[0],[1],[2]],a=a,b=b)\n", - "for i in range(2):\n", - " ax[i].plot(x_1d,y_1d[:,i],color='k')\n", - " ax[i].set_xlim([0,1])\n", - " ax[i].set_xticks([0,1])\n", - " ax[i].set_xlabel(r'$x_{%d}$'%(i+1))\n", - " ax[i].set_title(r'$f_{\\{%d\\}} \\in [%.1f,%.1f]$'%(i+1,y_1d[:,i].min(),y_1d[:,i].max()))\n", - "x_mesh,y_mesh = np.meshgrid(x_1d,x_1d)\n", - "xquery = np.zeros((x_mesh.size,3))\n", - "for i,idx in enumerate([[1,2]]): # [[0,1],[0,2],[1,2]]\n", - " xquery[:,idx[0]] = x_mesh.flatten()\n", - " xquery[:,idx[1]] = y_mesh.flatten()\n", - " zquery = qp.Ishigami._exact_fu_functions(xquery,indices=[idx],a=a,b=b)\n", - " z_mesh = zquery.reshape(x_mesh.shape)\n", - " ax[2+i].contourf(x_mesh,y_mesh,z_mesh,cmap=cm.Greys_r)\n", - " ax[2+i].set_xlabel(r'$x_{%d}$'%(idx[0]+1))\n", - " ax[2+i].set_ylabel(r'$x_{%d}$'%(idx[1]+1))\n", - " ax[2+i].set_title(r'$f_{\\{%d,%d\\}} \\in [%.1f,%.1f]$'%(tuple([i+1 for i in idx])+(z_mesh.min(),z_mesh.max())))\n", - " ax[2+i].set_xlim([0,1])\n", - " ax[2+i].set_ylim([0,1])\n", - " ax[2+i].set_xticks([0,1])\n", - " ax[2+i].set_yticks([0,1])\n", - "if root: fig.savefig(root+'ishigami_fu.pdf')" + "data": { + "image/png": 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", + "text/plain": [ + "
" ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = pyplot.subplots(figsize=(6,3))\n", + "ax.grid(False)\n", + "for spine in ['top','left','right','bottom']: ax.spines[spine].set_visible(False)\n", + "width = .75\n", + "ax.errorbar(fmt='none',color='k',\n", + " x = 1-si_total_true,\n", + " y = np.arange(len(si_closed)),\n", + " xerr = 0,\n", + " yerr = width/2,\n", + " alpha = 1)\n", + "bar_closed = ax.barh(np.arange(len(si_closed)),np.flip(si_closed),width,label='Closed SI',color='w',edgecolor='k',alpha=.75,linestyle='--')\n", + "ax.errorbar(fmt='none',color='k',\n", + " x = si_closed,\n", + " y = np.flip(np.arange(len(si_closed)))+width/4,\n", + " xerr = np.vstack((si_closed-ci_comb_low_closed,ci_comb_high_closed-si_closed)),\n", + " yerr = 0,\n", + " #elinewidth = 5,\n", + " alpha = .75)\n", + "bar_total = ax.barh(np.arange(len(si_closed)),si_total,width,label='Total SI',color='w',alpha=.25,edgecolor='k',left=1-si_total,zorder=10,linestyle='-.')\n", + "ax.errorbar(fmt='none',color='k',\n", + " x = 1-si_total,\n", + " y = np.arange(len(si_closed))-width/4,\n", + " xerr = np.vstack((si_total-ci_comb_low_total,ci_comb_high_total-si_total)),\n", + " yerr = 0,\n", + " #elinewidth = 5,\n", + " alpha = .25)\n", + "closed_labels = [r'$\\underline{s}_{\\{%s\\}} = %.2f$'%(','.join([str(i+1) for i in idx]),c) for idx,c in zip(idxs[::-1],np.flip(si_closed))]\n", + "closed_labels[3] = ''\n", + "total_labels = [r'$\\overline{s}_{\\{%s\\}} = %.2f$'%(','.join([str(i+1) for i in idx]),t) for idx,t in zip(idxs,si_total)]\n", + "ax.bar_label(bar_closed,label_type='center',labels=closed_labels)\n", + "ax.bar_label(bar_total,label_type='center',labels=total_labels)\n", + "ax.set_xlim([-.001,1.001])\n", + "ax.axvline(x=0,ymin=0,ymax=len(si_closed),color='k',alpha=.25)\n", + "ax.axvline(x=1,ymin=0,ymax=len(si_closed),color='k',alpha=.25)\n", + "ax.set_yticklabels([])\n", + "if root: fig.savefig(root+'ishigami.pdf',transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "8185b3d3", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 328 }, + "id": "8185b3d3", + "outputId": "980c763e-6e91-4c1b-efa7-223a5a655a3f" + }, + "outputs": [ { - "cell_type": "markdown", - "id": "8fc6f6c7", - "metadata": { - "id": "8fc6f6c7" - }, - "source": [ - "### Neural Network" + "data": { + "image/png": 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", + "text/plain": [ + "
" ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = pyplot.subplots(nrows=1,ncols=3,figsize=(8,3))\n", + "x_1d = np.linspace(0,1,num=128)\n", + "x_1d_mat = np.tile(x_1d,(3,1)).T\n", + "y_1d = qp.Ishigami._exact_fu_functions(x_1d_mat,indices=[[0],[1],[2]],a=a,b=b)\n", + "for i in range(2):\n", + " ax[i].plot(x_1d,y_1d[:,i],color='k')\n", + " ax[i].set_xlim([0,1])\n", + " ax[i].set_xticks([0,1])\n", + " ax[i].set_xlabel(r'$x_{%d}$'%(i+1))\n", + " ax[i].set_title(r'$f_{\\{%d\\}} \\in [%.1f,%.1f]$'%(i+1,y_1d[:,i].min(),y_1d[:,i].max()))\n", + "x_mesh,y_mesh = np.meshgrid(x_1d,x_1d)\n", + "xquery = np.zeros((x_mesh.size,3))\n", + "for i,idx in enumerate([[1,2]]): # [[0,1],[0,2],[1,2]]\n", + " xquery[:,idx[0]] = x_mesh.flatten()\n", + " xquery[:,idx[1]] = y_mesh.flatten()\n", + " zquery = qp.Ishigami._exact_fu_functions(xquery,indices=[idx],a=a,b=b)\n", + " z_mesh = zquery.reshape(x_mesh.shape)\n", + " ax[2+i].contourf(x_mesh,y_mesh,z_mesh,cmap=cm.Greys_r)\n", + " ax[2+i].set_xlabel(r'$x_{%d}$'%(idx[0]+1))\n", + " ax[2+i].set_ylabel(r'$x_{%d}$'%(idx[1]+1))\n", + " ax[2+i].set_title(r'$f_{\\{%d,%d\\}} \\in [%.1f,%.1f]$'%(tuple([i+1 for i in idx])+(z_mesh.min(),z_mesh.max())))\n", + " ax[2+i].set_xlim([0,1])\n", + " ax[2+i].set_ylim([0,1])\n", + " ax[2+i].set_xticks([0,1])\n", + " ax[2+i].set_yticks([0,1])\n", + "if root: fig.savefig(root+'ishigami_fu.pdf')" + ] + }, + { + "cell_type": "markdown", + "id": "8fc6f6c7", + "metadata": { + "id": "8fc6f6c7" + }, + "source": [ + "### Neural Network" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "841067ac", + "metadata": { + "id": "841067ac" + }, + "outputs": [], + "source": [ + "from sklearn.datasets import load_iris\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.neural_network import MLPClassifier\n", + "data = load_iris()\n", + "feature_names = data[\"feature_names\"]\n", + "feature_names = [fn.replace('sepal ','S')\\\n", + " .replace('length ','L')\\\n", + " .replace('petal ','P')\\\n", + " .replace('width ','W')\\\n", + " .replace('(cm)','') for fn in feature_names]\n", + "target_names = data[\"target_names\"]\n", + "xt,xv,yt,yv = train_test_split(data[\"data\"],data[\"target\"],\n", + " test_size = 1/3,\n", + " random_state = 7)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8e7846bf", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "8e7846bf", + "outputId": "ea998dbe-1065-4dce-a973-d8db81b8a0fd" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 17, - "id": "841067ac", - "metadata": { - "id": "841067ac" - }, - "outputs": [], - "source": [ - "from sklearn.datasets import load_iris\n", - "from sklearn.model_selection import train_test_split\n", - "from sklearn.neural_network import MLPClassifier\n", - "data = load_iris()\n", - "feature_names = data[\"feature_names\"]\n", - "feature_names = [fn.replace('sepal ','S')\\\n", - " .replace('length ','L')\\\n", - " .replace('petal ','P')\\\n", - " .replace('width ','W')\\\n", - " .replace('(cm)','') for fn in feature_names]\n", - "target_names = data[\"target_names\"]\n", - "xt,xv,yt,yv = train_test_split(data[\"data\"],data[\"target\"],\n", - " test_size = 1/3,\n", - " random_state = 7)" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "accuracy: 98.0%\n" + ] }, { - "cell_type": "code", - "execution_count": null, - "id": "8e7846bf", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "8e7846bf", - "outputId": "ea998dbe-1065-4dce-a973-d8db81b8a0fd" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "accuracy: 98.0%\n" - ] - }, - { - "data": { - "text/plain": [ - "(2, 14, 3)" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mlpc = MLPClassifier(random_state=7,max_iter=1024).fit(xt,yt)\n", - "yhat = mlpc.predict(xv)\n", - "print(\"accuracy: %.1f%%\"%(100*(yv==yhat).mean()))\n", - "# accuracy: 98.0%\n", - "sampler = qp.DigitalNetB2(4,seed=7)\n", - "true_measure = qp.Uniform(sampler,\n", - " lower_bound = xt.min(0),\n", - " upper_bound = xt.max(0))\n", - "fun = qp.CustomFun(\n", - " true_measure = true_measure,\n", - " g = lambda x: mlpc.predict_proba(x).T,\n", - " dimension_indv = 3)\n", - "si_fun = qp.SensitivityIndices(fun,indices=\"all\")\n", - "qmc_algo = qp.CubQMCNetG(si_fun,abs_tol=.005)\n", - "nn_sis,nn_sis_data = qmc_algo.integrate()\n", - "nn_sis.shape\n", - "\"\"\"\n", - "(2, 14, 3)\n", - "\"\"\"" + "data": { + "text/plain": [ + "(2, 14, 3)" ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mlpc = MLPClassifier(random_state=7,max_iter=1024).fit(xt,yt)\n", + "yhat = mlpc.predict(xv)\n", + "print(\"accuracy: %.1f%%\"%(100*(yv==yhat).mean()))\n", + "# accuracy: 98.0%\n", + "sampler = qp.DigitalNetB2(4,seed=7)\n", + "true_measure = qp.Uniform(sampler,\n", + " lower_bound = xt.min(0),\n", + " upper_bound = xt.max(0))\n", + "fun = qp.CustomFun(\n", + " true_measure = true_measure,\n", + " g = lambda x: mlpc.predict_proba(x).T,\n", + " dimension_indv = 3)\n", + "si_fun = qp.SensitivityIndices(fun,indices=\"all\")\n", + "qmc_algo = qp.CubQMCNetG(si_fun,abs_tol=.005)\n", + "nn_sis,nn_sis_data = qmc_algo.integrate()\n", + "nn_sis.shape\n", + "\"\"\"\n", + "(2, 14, 3)\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "e48c89bb", + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, + "id": "e48c89bb", + "outputId": "f902bd87-3257-4672-a5d6-b1ab9b4e857d" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 20, - "id": "e48c89bb", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "e48c89bb", - "outputId": "f902bd87-3257-4672-a5d6-b1ab9b4e857d" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "samples: 2^(15)\n", - "time: 6.6e-01\n", - "indices:\n", - "[[ True False False False]\n", - " [False True False False]\n", - " [False False True False]\n", - " [False False False True]\n", - " [ True True False False]\n", - " [ True False True False]\n", - " [ True False False True]\n", - " [False True True False]\n", - " [False True False True]\n", - " [False False True True]\n", - " [ True True True False]\n", - " [ True True False True]\n", - " [ True False True True]\n", - " [False True True True]]\n", - "\n", - "Closed Indices\n", - " setosa versicolor virginica\n", - "[0] 0.001323 0.068645 0.077325\n", - "[1] 0.063749 0.026565 0.004784\n", - "[2] 0.713825 0.325072 0.497800\n", - "[3] 0.052967 0.025579 0.120317\n", - "[0 1] 0.063925 0.091300 0.085151\n", - "[0 2] 0.715316 0.460314 0.637738\n", - "[0 3] 0.053469 0.092601 0.205639\n", - "[1 2] 0.841655 0.431035 0.513277\n", - "[1 3] 0.110739 0.039410 0.131264\n", - "[2 3] 0.822910 0.583282 0.703142\n", - "[0 1 2] 0.843726 0.570076 0.658272\n", - "[0 1 3] 0.112798 0.104804 0.215817\n", - "[0 2 3] 0.825330 0.815263 0.945267\n", - "[1 2 3] 0.995864 0.739588 0.728499\n", - "\n", - "Total Indices\n" - ] - }, - { - "data": { - "text/html": [ - "
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sepal length (cm)sepal width (cm)petal length (cm)petal width (cm)sum
setosa0.1323436.37486071.3824985.29667483.186375
versicolor6.8645362.65653032.5072302.55791144.586208
virginica7.7325210.47836449.77997812.03172570.022587
\n", - "
" - ], - "text/plain": [ - " sepal length (cm) sepal width (cm) petal length (cm) \\\n", - "setosa 0.132343 6.374860 71.382498 \n", - "versicolor 6.864536 2.656530 32.507230 \n", - "virginica 7.732521 0.478364 49.779978 \n", - "\n", - " petal width (cm) sum \n", - "setosa 5.296674 83.186375 \n", - "versicolor 2.557911 44.586208 \n", - "virginica 12.031725 70.022587 " - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#print(nn_sis_data.flags_indv.shape)\n", - "#print(nn_sis_data.flags_comb.shape)\n", - "print('samples: 2^(%d)'%np.log2(nn_sis_data.n_total))\n", - "print('time: %.1e'%nn_sis_data.time_integrate)\n", - "print('indices:\\n%s'%nn_sis_data.integrand.indices)\n", - "\n", - "import pandas as pd\n", - "\n", - "df_closed = pd.DataFrame(nn_sis[0],columns=target_names,index=[str(np.where(idx)[0]) for idx in nn_sis_data.integrand.indices])\n", - "print('\\nClosed Indices')\n", - "print(df_closed)\n", - "df_total = pd.DataFrame(nn_sis[1],columns=target_names,index=[str(np.where(idx)[0]) for idx in nn_sis_data.integrand.indices])\n", - "print('\\nTotal Indices')\n", - "df_closed_singletons = df_closed.loc[['[%d]'%i for i in range(4)]].T\n", - "df_closed_singletons['sum singletons'] = df_closed_singletons[['[%d]'%i for i in range(4)]].sum(1)\n", - "df_closed_singletons.columns = data['feature_names']+['sum']\n", - "df_closed_singletons = df_closed_singletons*100\n", - "df_closed_singletons" - ] + "name": "stdout", + "output_type": "stream", + "text": [ + "samples: 2^(15)\n", + "time: 6.6e-01\n", + "indices:\n", + "[[ True False False False]\n", + " [False True False False]\n", + " [False False True False]\n", + " [False False False True]\n", + " [ True True False False]\n", + " [ True False True False]\n", + " [ True False False True]\n", + " [False True True False]\n", + " [False True False True]\n", + " [False False True True]\n", + " [ True True True False]\n", + " [ True True False True]\n", + " [ True False True True]\n", + " [False True True True]]\n", + "\n", + "Closed Indices\n", + " setosa versicolor virginica\n", + "[0] 0.001323 0.068645 0.077325\n", + "[1] 0.063749 0.026565 0.004784\n", + "[2] 0.713825 0.325072 0.497800\n", + "[3] 0.052967 0.025579 0.120317\n", + "[0 1] 0.063925 0.091300 0.085151\n", + "[0 2] 0.715316 0.460314 0.637738\n", + "[0 3] 0.053469 0.092601 0.205639\n", + "[1 2] 0.841655 0.431035 0.513277\n", + "[1 3] 0.110739 0.039410 0.131264\n", + "[2 3] 0.822910 0.583282 0.703142\n", + "[0 1 2] 0.843726 0.570076 0.658272\n", + "[0 1 3] 0.112798 0.104804 0.215817\n", + "[0 2 3] 0.825330 0.815263 0.945267\n", + "[1 2 3] 0.995864 0.739588 0.728499\n", + "\n", + "Total Indices\n" + ] }, { - "cell_type": "code", - "execution_count": 21, - "id": "eeb7b84b", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 396 - }, - "id": "eeb7b84b", - "outputId": "3eb279b8-567a-4ac9-8b5f-e48ae70704ab" - }, - "outputs": [ - { - "data": { - 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
sepal length (cm)sepal width (cm)petal length (cm)petal width (cm)sum
setosa0.1323436.37486071.3824985.29667483.186375
versicolor6.8645362.65653032.5072302.55791144.586208
virginica7.7325210.47836449.77997812.03172570.022587
\n", + "
" ], - "source": [ - "nindices = len(nn_sis_data.integrand.indices)\n", - "fig,ax = pyplot.subplots(figsize=(9,5))\n", - "ticks = np.arange(nindices)\n", - "width = .25\n", - "for i,(alpha,species) in enumerate(zip([.25,.5,.75],data['target_names'])):\n", - " cvals = df_closed[species].to_numpy()\n", - " tvals = df_total[species].to_numpy()\n", - " ticks_i = ticks+i*width\n", - " ax.bar(ticks_i,cvals,width=width,align='edge',color='k',alpha=alpha,label=species)\n", - " #ax.bar(ticks_i,np.flip(tvals),width=width,align='edge',bottom=1-np.flip(tvals),color=color,alpha=.1)\n", - "ax.set_xlim([0,13+3*width])\n", - "ax.set_xticks(ticks+1.5*width)\n", - "\n", - "# closed_labels = [r'$\\underline{s}_{\\{%s\\}}$'%(','.join([r'\\text{%s}'%feature_names[i] for i in idx])) for idx in nn_sis_data.integrand.indices]\n", - "closed_labels = ['\\n'.join([feature_names[i] for i in np.where(idx)[0]]) for idx in nn_sis_data.integrand.indices]\n", - "ax.set_xticklabels(closed_labels,rotation=0)\n", - "ax.set_ylim([0,1]); ax.set_yticks([0,1])\n", - "ax.grid(False)\n", - "for spine in ['top','right','bottom']: ax.spines[spine].set_visible(False)\n", - "ax.legend(frameon=False,loc='lower center',bbox_to_anchor=(.5,-.2),ncol=3);\n", - "fig.tight_layout()\n", - "if root: fig.savefig(root+'nn_si.pdf')" + "text/plain": [ + " sepal length (cm) sepal width (cm) petal length (cm) \\\n", + "setosa 0.132343 6.374860 71.382498 \n", + "versicolor 6.864536 2.656530 32.507230 \n", + "virginica 7.732521 0.478364 49.779978 \n", + "\n", + " petal width (cm) sum \n", + "setosa 5.296674 83.186375 \n", + "versicolor 2.557911 44.586208 \n", + "virginica 12.031725 70.022587 " ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cada4d85", - "metadata": {}, - "outputs": [], - "source": [] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" } - ], - "metadata": { + ], + "source": [ + "#print(nn_sis_data.flags_indv.shape)\n", + "#print(nn_sis_data.flags_comb.shape)\n", + "print('samples: 2^(%d)'%np.log2(nn_sis_data.n_total))\n", + "print('time: %.1e'%nn_sis_data.time_integrate)\n", + "print('indices:\\n%s'%nn_sis_data.integrand.indices)\n", + "\n", + "import pandas as pd\n", + "\n", + "df_closed = pd.DataFrame(nn_sis[0],columns=target_names,index=[str(np.where(idx)[0]) for idx in nn_sis_data.integrand.indices])\n", + "print('\\nClosed Indices')\n", + "print(df_closed)\n", + "df_total = pd.DataFrame(nn_sis[1],columns=target_names,index=[str(np.where(idx)[0]) for idx in nn_sis_data.integrand.indices])\n", + "print('\\nTotal Indices')\n", + "df_closed_singletons = df_closed.loc[['[%d]'%i for i in range(4)]].T\n", + "df_closed_singletons['sum singletons'] = df_closed_singletons[['[%d]'%i for i in range(4)]].sum(1)\n", + "df_closed_singletons.columns = data['feature_names']+['sum']\n", + "df_closed_singletons = df_closed_singletons*100\n", + "df_closed_singletons" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "eeb7b84b", + "metadata": { "colab": { - "provenance": [] - }, - "kernelspec": { - "display_name": "qmcpy", - "language": "python", - "name": "qmcpy" + "base_uri": "https://localhost:8080/", + "height": 396 }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.12" + "id": "eeb7b84b", + "outputId": "3eb279b8-567a-4ac9-8b5f-e48ae70704ab" + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "nindices = len(nn_sis_data.integrand.indices)\n", + "fig,ax = pyplot.subplots(figsize=(9,5))\n", + "ticks = np.arange(nindices)\n", + "width = .25\n", + "for i,(alpha,species) in enumerate(zip([.25,.5,.75],data['target_names'])):\n", + " cvals = df_closed[species].to_numpy()\n", + " tvals = df_total[species].to_numpy()\n", + " ticks_i = ticks+i*width\n", + " ax.bar(ticks_i,cvals,width=width,align='edge',color='k',alpha=alpha,label=species)\n", + " #ax.bar(ticks_i,np.flip(tvals),width=width,align='edge',bottom=1-np.flip(tvals),color=color,alpha=.1)\n", + "ax.set_xlim([0,13+3*width])\n", + "ax.set_xticks(ticks+1.5*width)\n", + "\n", + "# closed_labels = [r'$\\underline{s}_{\\{%s\\}}$'%(','.join([r'\\text{%s}'%feature_names[i] for i in idx])) for idx in nn_sis_data.integrand.indices]\n", + "closed_labels = ['\\n'.join([feature_names[i] for i in np.where(idx)[0]]) for idx in nn_sis_data.integrand.indices]\n", + "ax.set_xticklabels(closed_labels,rotation=0)\n", + "ax.set_ylim([0,1]); ax.set_yticks([0,1])\n", + "ax.grid(False)\n", + "for spine in ['top','right','bottom']: ax.spines[spine].set_visible(False)\n", + "ax.legend(frameon=False,loc='lower center',bbox_to_anchor=(.5,-.2),ncol=3);\n", + "fig.tight_layout()\n", + "if root: fig.savefig(root+'nn_si.pdf')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cada4d85", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "qmcpy", + "language": "python", + "name": "qmcpy" }, - "nbformat": 4, - "nbformat_minor": 5 + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 } diff --git a/demos/vectorized_qmc_bayes.ipynb b/demos/vectorized_qmc_bayes.ipynb index 4a6e85e87..c21e99db4 100644 --- a/demos/vectorized_qmc_bayes.ipynb +++ b/demos/vectorized_qmc_bayes.ipynb @@ -12,7 +12,6 @@ }, { "cell_type": "markdown", - "id": "a306d01c-390a-4bb3-a2aa-b79f4c800d95", "metadata": {}, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/vectorized_qmc_bayes.ipynb)" @@ -20,34 +19,16 @@ }, { "cell_type": "code", - "execution_count": 1, - "id": "7cb5370c-b821-45a0-b0ea-5fa311690954", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "7cb5370c-b821-45a0-b0ea-5fa311690954", - "outputId": "5ea1d4d8-ca71-4a97-b57c-3c82c8326871" - }, + "execution_count": null, + "metadata": {}, "outputs": [], "source": [ - "%%capture\n", "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", " !pip install -q qmcpy\n", - " !apt-get update && apt-get install -y --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", "except:\n", - " pass\n", - "\n", - "import matplotlib.pyplot as plt\n", - "\n", - "plt.rcParams.update({\n", - "\"text.usetex\": True,\n", - "\"font.family\": \"serif\",\n", - "\"text.latex.preamble\": r\"\\usepackage{amsmath}\\usepackage{amssymb}\\newcommand{\\bx}{\\boldsymbol{x}}\"\n", - "})\n", - "!pip install scikit-learn\n" + " pass" ] }, { From f6202a03e314efb551e56edb6ac7024048b6ad2c Mon Sep 17 00:00:00 2001 From: sou-cheng-choi Date: Sat, 30 May 2026 08:37:16 -0500 Subject: [PATCH 10/20] Update makefile --- makefile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/makefile b/makefile index 51540a7fa..b18f5738d 100644 --- a/makefile +++ b/makefile @@ -112,7 +112,7 @@ generate_booktests: @echo "\nGenerating missing booktest files..." cd test/booktests/ && python generate_test.py --check-missing -check_colab_notebooks: check_colab_notebooks_smoke +check_colab_notebooks: $(PYTHON_BIN) scripts/check_colab_notebooks.py --strict check_colab_notebooks_smoke: From 86e02e5fcf616ded071491cab03a2103ade4a8d7 Mon Sep 17 00:00:00 2001 From: sou-cheng-choi Date: Sat, 30 May 2026 08:51:58 -0500 Subject: [PATCH 11/20] Add make target for Colab bootstrap classification --- docs/tests.md | 10 +- makefile | 3 + scripts/report_colab_notebook_patterns.py | 192 ++++++++++++++++++++++ test/README.md | 34 +++- 4 files changed, 237 insertions(+), 2 deletions(-) create mode 100644 scripts/report_colab_notebook_patterns.py diff --git a/docs/tests.md b/docs/tests.md index cfb1c011a..c81f5a011 100644 --- a/docs/tests.md +++ b/docs/tests.md @@ -17,6 +17,7 @@ This document describes the available test targets in the Makefile for QMCSoftwa | `make check_colab_notebooks` | Audit enabled notebooks for Colab-readiness | Fast | Catch missing pip installs, repo-local imports, and source-install drift | | `make check_colab_notebooks_smoke` | Execute Colab notebook setup smoke tests | Fast | Run bootstrap plus early import/setup cells for enabled notebooks | | `make harden_colab_notebook [NOTEBOOK=...]` | Insert Colab bootstrap and classify notebook(s) | Fast | Harden one notebook, or classify any untracked demo notebooks into enabled or disabled | +| `make report_colab_notebook_patterns` | Group notebooks by Colab bootstrap family | Fast | Audit which notebooks use basic, extra-pip, LaTeX, or repo-local setup cells | | `make coverage` | Display coverage report | Instant | View test coverage summary | | `make delcoverage` | Reset coverage tracking | Instant | Start fresh coverage analysis | @@ -169,7 +170,7 @@ Runs a lightweight execution smoke test for each Colab-enabled notebook. - **CI usage**: Invoked in Linux CI after test dependencies are installed - **Default depth**: `SMOKE_CODE_CELLS=2` -#### `make harden_colab_notebook [NOTEBOOK=...]` +#### `make harden_colab_notebook [NOTEBOOK=... FORCE=1]` Hardens one notebook, or if `NOTEBOOK` is omitted, scans `demos/` for notebooks that are not yet listed in either `enabled` or `disabled`. - **What it does**: Inserts the badge, adds a generated Colab bootstrap cell, infers common extra pip dependencies, and adds repo-local `sys.path` setup when needed - **Classification rule**: Existing `disabled` entries are left untouched; unclassified notebooks are added to `enabled` if hardening validates, otherwise they are added to `disabled` with an automatic failure reason @@ -178,6 +179,13 @@ Hardens one notebook, or if `NOTEBOOK` is omitted, scans `demos/` for notebooks - **Validation**: Runs the existing Colab checks after rewriting; if validation fails, the notebook is restored before being marked disabled - **Examples**: `make harden_colab_notebook NOTEBOOK=demos/plot_proj_function.ipynb`, `make harden_colab_notebook`, and `make harden_colab_notebook FORCE=1` +#### `make report_colab_notebook_patterns` +Groups notebooks already classified in `scripts/colab_notebooks_manifest.json` by the current Colab badge/bootstrap cell pattern. +- **Pattern families**: Reports basic `qmcpy`-only bootstrap cells, extra-pip variants, LaTeX setup cells, repo-clone/path-setup cells, and disabled notebooks grouped by reason +- **Exact variants**: Separately lists exact bootstrap variants such as `scikit-learn scikit-optimize` or `sympy torch tueplots` +- **Placement summary**: Reports where the badge and bootstrap cells appear, for example `badge cell 1, bootstrap cell 2` +- **Use when**: You want to batch-normalize notebook Colab setup or review which notebooks will be affected by bootstrap changes + #### `make coverage` Displays the current coverage report (must run other targets first to accumulate coverage data). - **Output**: Terminal summary of coverage percentages per file/module diff --git a/makefile b/makefile index b18f5738d..5d1036c57 100644 --- a/makefile +++ b/makefile @@ -131,6 +131,9 @@ harden_colab_notebook: $(PYTHON_BIN) scripts/harden_colab_notebook.py --all-unclassified; \ fi +report_colab_notebook_patterns: + $(PYTHON_BIN) scripts/report_colab_notebook_patterns.py + check_booktests: rm -fr demos/.ipynb_checkpoints/*checkpoint.ipynb && \ find demos -name '*.ipynb' | while read nb; do \ diff --git a/scripts/report_colab_notebook_patterns.py b/scripts/report_colab_notebook_patterns.py new file mode 100644 index 000000000..3ce690244 --- /dev/null +++ b/scripts/report_colab_notebook_patterns.py @@ -0,0 +1,192 @@ +#!/usr/bin/env python3 +""" +Group demo notebooks by Colab badge/bootstrap cell pattern. +""" + +from __future__ import annotations + +import argparse +from collections import defaultdict +from pathlib import Path + +from check_colab_notebooks import ( + DEFAULT_MANIFEST, + REPO_ROOT, + cell_source_text, + is_any_badge_cell, + is_bootstrap_cell, + load_json, + manifest_sets, + validate_manifest, +) + + +def first_badge_position(cells: list[dict]) -> int | None: + for idx, cell in enumerate(cells, start=1): + if is_any_badge_cell(cell): + return idx + return None + + +def first_bootstrap_cell(cells: list[dict]) -> tuple[int | None, str]: + for idx, cell in enumerate(cells, start=1): + if is_bootstrap_cell(cell): + return idx, cell_source_text(cell) + return None, "" + + +def extra_install_commands(source: str) -> list[str]: + commands: list[str] = [] + for raw_line in source.splitlines(): + line = raw_line.strip() + if not line.startswith("!pip install"): + continue + if "qmcpy" in line.lower(): + continue + if " -q " in line: + commands.append(line.split(" -q ", 1)[1].strip()) + else: + commands.append(line.split("!pip install", 1)[1].strip()) + return commands + + +def pattern_family(source: str) -> str: + if not source: + return "Enabled but missing bootstrap cell" + + has_repo_clone = "git clone" in source + has_path_setup = "os.chdir(" in source or "sys.path.insert" in source + has_apt = "apt-get" in source + extra_installs = extra_install_commands(source) + + if has_repo_clone and extra_installs: + return "Repo-local bootstrap + extra pip installs" + if has_repo_clone or has_path_setup: + return "Repo-local bootstrap" + if has_apt: + return "LaTeX bootstrap" + if extra_installs: + return "Extra pip bootstrap" + return "Basic qmcpy bootstrap" + + +def exact_variant(source: str) -> str: + if not source: + return "missing bootstrap cell" + + labels = ["qmcpy"] + if "git clone" in source: + labels.append("repo-clone") + if "os.chdir(" in source or "sys.path.insert" in source: + labels.append("path-setup") + if "apt-get" in source: + labels.append("apt") + + extra_installs = extra_install_commands(source) + if extra_installs: + labels.append(f"extra-pip: {', '.join(extra_installs)}") + else: + labels.append("extra-pip: none") + + return " | ".join(labels) + + +def placement_label(badge_position: int | None, bootstrap_position: int | None) -> str: + badge = "missing" if badge_position is None else str(badge_position) + bootstrap = "missing" if bootstrap_position is None else str(bootstrap_position) + return f"badge cell {badge}, bootstrap cell {bootstrap}" + + +def print_grouped_notebooks( + title: str, + groups: dict[str, list[str]], + details: dict[str, dict[str, str]] | None = None, +) -> None: + print(title) + for group_name in sorted(groups): + notebooks = sorted(groups[group_name]) + print(f"- {group_name} ({len(notebooks)} notebooks)") + for notebook in notebooks: + suffix = "" + if details is not None: + detail = details.get(group_name, {}).get(notebook) + if detail: + suffix = f" [{detail}]" + print(f" - {notebook}{suffix}") + print() + + +def run_report(manifest_path: Path) -> int: + manifest = load_json(manifest_path) + errors = validate_manifest(manifest) + if errors: + for error in errors: + print(error) + return 1 + + enabled, disabled = manifest_sets(manifest) + + family_groups: dict[str, list[str]] = defaultdict(list) + exact_groups: dict[str, list[str]] = defaultdict(list) + placement_groups: dict[str, list[str]] = defaultdict(list) + family_details: dict[str, dict[str, str]] = defaultdict(dict) + + for notebook_path in sorted(enabled): + payload = load_json(REPO_ROOT / notebook_path) + cells = payload.get("cells", []) + badge_position = first_badge_position(cells) + bootstrap_position, bootstrap_source = first_bootstrap_cell(cells) + family = pattern_family(bootstrap_source) + exact = exact_variant(bootstrap_source) + placement = placement_label(badge_position, bootstrap_position) + extra_installs = extra_install_commands(bootstrap_source) + + family_groups[family].append(notebook_path) + exact_groups[exact].append(notebook_path) + placement_groups[placement].append(notebook_path) + + if extra_installs: + family_details[family][notebook_path] = ", ".join(extra_installs) + + disabled_groups: dict[str, list[str]] = defaultdict(list) + for notebook_path, reason in sorted(disabled.items()): + disabled_groups[reason].append(notebook_path) + + total = len(enabled) + len(disabled) + print("Colab notebook pattern report") + print(f"Manifest: {manifest_path.relative_to(REPO_ROOT).as_posix()}") + print(f"Enabled: {len(enabled)}") + print(f"Disabled: {len(disabled)}") + print(f"Total: {total}") + print() + + print_grouped_notebooks( + "Enabled pattern families", + family_groups, + details=family_details, + ) + print_grouped_notebooks("Enabled detailed bootstrap variants", exact_groups) + print_grouped_notebooks("Badge/bootstrap placement", placement_groups) + print_grouped_notebooks("Disabled notebooks by reason", disabled_groups) + return 0 + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser( + description="Group demo notebooks by Colab badge/bootstrap cell pattern." + ) + parser.add_argument( + "--manifest", + default=str(DEFAULT_MANIFEST), + help=f"Path to the Colab manifest (default: {DEFAULT_MANIFEST})", + ) + return parser.parse_args() + + +def main() -> int: + args = parse_args() + return run_report(Path(args.manifest).resolve()) + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/test/README.md b/test/README.md index 99a304259..aac6e6781 100644 --- a/test/README.md +++ b/test/README.md @@ -14,6 +14,10 @@ This document describes the available test targets in the Makefile for QMCSoftwa | `make doctests` | All doctests with Docker | Slow | Full docstring validation | | `make booktests_no_docker` | Jupyter notebook tests | Slow | Validate demo notebooks | | `make booktests_parallel_no_docker` | Notebook tests with Parsl parallelization | Variable | Distributed notebook execution | +| `make check_colab_notebooks` | Audit enabled notebooks for Colab-readiness | Fast | Catch missing pip installs, repo-local imports, and source-install drift | +| `make check_colab_notebooks_smoke` | Execute Colab notebook setup smoke tests | Fast | Run bootstrap plus early import/setup cells for enabled notebooks | +| `make harden_colab_notebook [NOTEBOOK=...]` | Insert Colab bootstrap and classify notebook(s) | Fast | Harden one notebook, or classify any untracked demo notebooks into enabled or disabled | +| `make report_colab_notebook_patterns` | Group notebooks by Colab bootstrap family | Fast | Audit which notebooks use basic, extra-pip, LaTeX, or repo-local setup cells | | `make coverage` | Display coverage report | Instant | View test coverage summary | | `make delcoverage` | Reset coverage tracking | Instant | Start fresh coverage analysis | @@ -154,6 +158,34 @@ Auto-generates missing test stub files for notebooks. - **Output**: Reports any generated files - **Note**: Called automatically by `booktests_no_docker`; rarely used standalone +#### `make check_colab_notebooks` +Alias for `make check_colab_notebooks`. +- **Behavior**: Runs the same strict checks +- **Use when**: You want an explicit strict command name for readability/scripts + +#### `make check_colab_notebooks_smoke` +Runs a lightweight execution smoke test for each Colab-enabled notebook. +- **Execution scope**: Simulates a Colab runtime, rewrites shell install commands to no-ops, then executes the bootstrap cell plus up to `$(SMOKE_CODE_CELLS)` smoke-safe import/setup code cells +- **Purpose**: Catch runtime regressions in early import/setup logic that static checks miss +- **CI usage**: Invoked in Linux CI after test dependencies are installed +- **Default depth**: `SMOKE_CODE_CELLS=2` + +#### `make harden_colab_notebook [NOTEBOOK=...]` +Hardens one notebook, or if `NOTEBOOK` is omitted, scans `demos/` for notebooks that are not yet listed in either `enabled` or `disabled`. +- **What it does**: Inserts the badge, adds a generated Colab bootstrap cell, infers common extra pip dependencies, and adds repo-local `sys.path` setup when needed +- **Classification rule**: Existing `disabled` entries are left untouched; unclassified notebooks are added to `enabled` if hardening validates, otherwise they are added to `disabled` with an automatic failure reason +- **Force mode**: `make harden_colab_notebook FORCE=1` regenerates the Open in Colab badge and the `# @title Execute this cell to install dependencies` cell for every notebook already listed in `enabled`; `make harden_colab_notebook NOTEBOOK=... FORCE=1` does the same for one notebook +- **Cell order**: The generated `import google.colab` bootstrap cell is always inserted after the Open in Colab badge +- **Validation**: Runs the existing Colab checks after rewriting; if validation fails, the notebook is restored before being marked disabled +- **Examples**: `make harden_colab_notebook NOTEBOOK=demos/plot_proj_function.ipynb`, `make harden_colab_notebook`, and `make harden_colab_notebook FORCE=1` + +#### `make report_colab_notebook_patterns` +Groups notebooks already classified in `scripts/colab_notebooks_manifest.json` by the current Colab badge/bootstrap cell pattern. +- **Pattern families**: Reports basic `qmcpy`-only bootstrap cells, extra-pip variants, LaTeX setup cells, repo-clone/path-setup cells, and disabled notebooks grouped by reason +- **Exact variants**: Separately lists exact bootstrap variants such as `scikit-learn scikit-optimize` or `sympy torch tueplots` +- **Placement summary**: Reports where the badge and bootstrap cells appear, for example `badge cell 1, bootstrap cell 2` +- **Use when**: You want to batch-normalize notebook Colab setup or review which notebooks will be affected by bootstrap changes + #### `make coverage` Displays the current coverage report (must run other targets first to accumulate coverage data). - **Output**: Terminal summary of coverage percentages per file/module @@ -397,4 +429,4 @@ A second workflow, `.github/workflows/unittests.yml`, runs a matrix across Pytho - `.github/workflows/alltests.yml` – CI all test workflow - `.github/workflows/unittests.yml` - CI unit test workflow - `make clean_local_only_files` – Artifact cleanup utility -- `scripts/pytest_xdist.py` – Parallel execution detection helper \ No newline at end of file +- `scripts/pytest_xdist.py` – Parallel execution detection helper From 8b741ee581f1376937f8959518a04ffc228adc5a Mon Sep 17 00:00:00 2001 From: sou-cheng-choi Date: Sat, 30 May 2026 09:24:54 -0500 Subject: [PATCH 12/20] Debugged `harden_colab_notebook.py` and add unit tests for badge handling --- demos/DAKOTA_Genz/dakota_genz.ipynb | 2 +- demos/GBM/gbm_demo.ipynb | 38 ++-- demos/acceptance_rejection.ipynb | 26 +-- demos/control_variates.ipynb | 18 +- .../accuracy_and_resume.ipynb | 60 +++--- demos/elliptic-pde.ipynb | 6 +- demos/iris.ipynb | 10 + demos/linear-scrambled-halton.ipynb | 38 ++-- demos/plot_proj_function.ipynb | 28 +-- demos/qmcpy_intro.ipynb | 14 +- demos/quickstart.ipynb | 34 +-- demos/some_true_measures.ipynb | 42 ++-- .../acm_toms_sorokin_2025.ipynb | 14 +- .../talk_paper_demos/JOSS2026/joss2026.ipynb | 16 +- .../MCQMC_2020_QMC_Software_Tutorial.ipynb | 24 +-- demos/talk_paper_demos/pydata_chi_2023.ipynb | 18 +- scripts/harden_colab_notebook.py | 196 +++++++++--------- scripts/report_colab_notebook_patterns.py | 24 +-- scripts/smoke_test_colab_notebooks.py | 35 +--- test/test_scripts.py | 93 +++++++++ 20 files changed, 409 insertions(+), 327 deletions(-) create mode 100644 test/test_scripts.py diff --git a/demos/DAKOTA_Genz/dakota_genz.ipynb b/demos/DAKOTA_Genz/dakota_genz.ipynb index 9bbedec23..8dc04341f 100644 --- a/demos/DAKOTA_Genz/dakota_genz.ipynb +++ b/demos/DAKOTA_Genz/dakota_genz.ipynb @@ -29,7 +29,7 @@ "try:\n", " import google.colab\n", " !pip install -q qmcpy\n", - " !apt-get update && apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", + " !tmp=$(mktemp) && if { apt-get update -qq && DEBIAN_FRONTEND=noninteractive apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng; } >\"$tmp\" 2>&1; then rm -f \"$tmp\"; else status=$?; cat \"$tmp\"; rm -f \"$tmp\"; exit $status; fi\n", "except:\n", " pass" ] diff --git a/demos/GBM/gbm_demo.ipynb b/demos/GBM/gbm_demo.ipynb index 700bc61a3..3ba95fe63 100644 --- a/demos/GBM/gbm_demo.ipynb +++ b/demos/GBM/gbm_demo.ipynb @@ -7,6 +7,24 @@ "# Geometric Brownian Motion Demo" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Larysa Matiukha, Aleksei Sorokin, and Sou-Cheng T. Choi\n", + "\n", + "Illinois Institute of Technology\n", + "\n", + "Modification date: 01/19/2026\n", + "\n", + "Creation date: 08/24/2024\n", + "\n", + "For reproducibility, this notebook was run with:\n", + "- Python 3.9.13, NumPy 1.23.4, SciPy 1.9.3, QMCPy 2.2, QuantLib 1.38, Matplotlib 3.5.2, ipywidgets 8.1.7\n", + "- OS: macOS 15.6.1\n", + "- Random seeds: 42 (QMCPy), 7 (QuantLib)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -30,7 +48,7 @@ " if not os.path.isdir(repo_root):\n", " !git clone -q --depth 1 https://github.com/QMCSoftware/QMCSoftware {repo_root}\n", " !pip install -q qmcpy\n", - " !pip install -q ipywidgets\n", + " !pip install -q ipywidgets QuantLib\n", " os.chdir(notebook_dir)\n", " if notebook_dir not in sys.path:\n", " sys.path.insert(0, notebook_dir)\n", @@ -41,24 +59,6 @@ " pass" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Larysa Matiukha, Aleksei Sorokin, and Sou-Cheng T. Choi\n", - "\n", - "Illinois Institute of Technology\n", - "\n", - "Modification date: 01/19/2026\n", - "\n", - "Creation date: 08/24/2024\n", - "\n", - "For reproducibility, this notebook was run with:\n", - "- Python 3.9.13, NumPy 1.23.4, SciPy 1.9.3, QMCPy 2.2, QuantLib 1.38, Matplotlib 3.5.2, ipywidgets 8.1.7\n", - "- OS: macOS 15.6.1\n", - "- Random seeds: 42 (QMCPy), 7 (QuantLib)" - ] - }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/acceptance_rejection.ipynb b/demos/acceptance_rejection.ipynb index d8b12f150..c9b69f5da 100644 --- a/demos/acceptance_rejection.ipynb +++ b/demos/acceptance_rejection.ipynb @@ -13,35 +13,35 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/acceptance_rejection.ipynb)" + "**Reference:** Zhu, H. & Dick, J. (2014). *Discrepancy bounds for deterministic acceptance-rejection samplers.* Electronic Journal of Statistics, 8(1), 678–707. [DOI: 10.1214/14-EJS898](https://doi.org/10.1214/14-EJS898)" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# @title Execute this cell to install dependencies\n", - "try:\n", - " import google.colab\n", - " !pip install -q qmcpy\n", - "except:\n", - " pass" + "## Setup" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Reference:** Zhu, H. & Dick, J. (2014). *Discrepancy bounds for deterministic acceptance-rejection samplers.* Electronic Journal of Statistics, 8(1), 678–707. [DOI: 10.1214/14-EJS898](https://doi.org/10.1214/14-EJS898)" + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/acceptance_rejection.ipynb)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "## Setup" + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" ] }, { diff --git a/demos/control_variates.ipynb b/demos/control_variates.ipynb index 64d38c93b..d92336e62 100644 --- a/demos/control_variates.ipynb +++ b/demos/control_variates.ipynb @@ -11,6 +11,15 @@ "This notebook demonstrates QMCPy's current support for control variates. " ] }, + { + "cell_type": "markdown", + "metadata": { + "id": "v_CDThSJUpUz" + }, + "source": [ + "## Setup" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -32,15 +41,6 @@ " pass" ] }, - { - "cell_type": "markdown", - "metadata": { - "id": "v_CDThSJUpUz" - }, - "source": [ - "## Setup" - ] - }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/demo_resume_data/accuracy_and_resume.ipynb b/demos/demo_resume_data/accuracy_and_resume.ipynb index a1b1f81a4..57035d06b 100644 --- a/demos/demo_resume_data/accuracy_and_resume.ipynb +++ b/demos/demo_resume_data/accuracy_and_resume.ipynb @@ -39,36 +39,6 @@ " " ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/demo_resume_data/accuracy_and_resume.ipynb)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# @title Execute this cell to install dependencies\n", - "try:\n", - " import google.colab\n", - " import sys\n", - " import os\n", - " repo_root = \"/content/QMCSoftware\"\n", - " notebook_dir = f\"{repo_root}/demos/demo_resume_data\"\n", - " if not os.path.isdir(repo_root):\n", - " !git clone -q --depth 1 https://github.com/QMCSoftware/QMCSoftware {repo_root}\n", - " !pip install -q qmcpy\n", - " os.chdir(notebook_dir)\n", - " if notebook_dir not in sys.path:\n", - " sys.path.insert(0, notebook_dir)\n", - "except:\n", - " pass" - ] - }, { "cell_type": "markdown", "id": "f0412d13", @@ -114,6 +84,36 @@ "Let's see how this works in code. We will use a Genz oscillatory integrand and QMCPy's `CubQMCLatticeG` routine." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/demo_resume_data/accuracy_and_resume.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " import sys\n", + " import os\n", + " repo_root = \"/content/QMCSoftware\"\n", + " notebook_dir = f\"{repo_root}/demos/demo_resume_data\"\n", + " if not os.path.isdir(repo_root):\n", + " !git clone -q --depth 1 https://github.com/QMCSoftware/QMCSoftware {repo_root}\n", + " !pip install -q qmcpy\n", + " os.chdir(notebook_dir)\n", + " if notebook_dir not in sys.path:\n", + " sys.path.insert(0, notebook_dir)\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/demos/elliptic-pde.ipynb b/demos/elliptic-pde.ipynb index fb8c235a7..9d8a9f1ae 100644 --- a/demos/elliptic-pde.ipynb +++ b/demos/elliptic-pde.ipynb @@ -17,7 +17,7 @@ "try:\n", " import google.colab\n", " !pip install -q qmcpy\n", - " !apt-get update && apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n", + " !tmp=$(mktemp) && if { apt-get update -qq && DEBIAN_FRONTEND=noninteractive apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng; } >\"$tmp\" 2>&1; then rm -f \"$tmp\"; else status=$?; cat \"$tmp\"; rm -f \"$tmp\"; exit $status; fi\n", "except:\n", " pass" ] @@ -1206,7 +1206,7 @@ "kernelspec": { "display_name": "qmcpy", "language": "python", - "name": "qmcpy" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -1218,7 +1218,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.12" + "version": "3.13.13" } }, "nbformat": 4, diff --git a/demos/iris.ipynb b/demos/iris.ipynb index 48b5feb10..b2d7914f3 100644 --- a/demos/iris.ipynb +++ b/demos/iris.ipynb @@ -1,5 +1,15 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ML Sensitivity Indices\n", + "\n", + "\n", + "This notebook demonstrates QMCPy's support for vectorized sensitivity index computation. We preview this functionality by performing classification of Iris species using a decision tree. The computed sensitivity indices provide insight into input subset importance for a classic machine learning problem." + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/demos/linear-scrambled-halton.ipynb b/demos/linear-scrambled-halton.ipynb index 19323a03d..47b64a9f6 100644 --- a/demos/linear-scrambled-halton.ipynb +++ b/demos/linear-scrambled-halton.ipynb @@ -11,77 +11,77 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/linear-scrambled-halton.ipynb)" + "In Halton, each dimension has a prime number associated to it: 2 is associated to dimension 1, 3 to dimension 2, 5 to dimension 3 and so on. These prime numbers are referred as bases." ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# @title Execute this cell to install dependencies\n", - "try:\n", - " import google.colab\n", - " !pip install -q qmcpy\n", - "except:\n", - " pass" + "### Here we explain Linear Matrix Scrambling:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In Halton, each dimension has a prime number associated to it: 2 is associated to dimension 1, 3 to dimension 2, 5 to dimension 3 and so on. These prime numbers are referred as bases." + "Based on the bases, a different scrambling matrix is generated for each dimension where the lower triangle is random between 0 and (base - 1), the diagonal is random between 1 and (base - 1), and the upper triangle has all zeros. For each dimension, we convert the indices to their log base representations, compute their dot product with the scrambling matrix, and convert them to decimal (base 10) to generate our samples." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Here we explain Linear Matrix Scrambling:" + "### Here we explain Digital Shift: " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Based on the bases, a different scrambling matrix is generated for each dimension where the lower triangle is random between 0 and (base - 1), the diagonal is random between 1 and (base - 1), and the upper triangle has all zeros. For each dimension, we convert the indices to their log base representations, compute their dot product with the scrambling matrix, and convert them to decimal (base 10) to generate our samples." + "Based on the bases, a different vector is generated for each dimension which is random between 0 and (base - 1). For each dimension, we convert the indices to their log base representations, add them to the vector , and convert them to decimal (base 10) to generate our samples." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Here we explain Digital Shift: " + "### Here we explain Linear Matrix Scrambling Combined with Digital Shift:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Based on the bases, a different vector is generated for each dimension which is random between 0 and (base - 1). For each dimension, we convert the indices to their log base representations, add them to the vector , and convert them to decimal (base 10) to generate our samples." + "In this option, we implement the Linear Matrix Scrambling of Halton but before converting to base 10, we apply the Digital Shift to the scrambled coefficients (the dot product of the log base representations of the indices with the scrambling matrix), and then convert to base 10." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Here we explain Linear Matrix Scrambling Combined with Digital Shift:" + "### Here we set up the QMCPY environment:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In this option, we implement the Linear Matrix Scrambling of Halton but before converting to base 10, we apply the Digital Shift to the scrambled coefficients (the dot product of the log base representations of the indices with the scrambling matrix), and then convert to base 10." + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/linear-scrambled-halton.ipynb)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "### Here we set up the QMCPY environment:" + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" ] }, { diff --git a/demos/plot_proj_function.ipynb b/demos/plot_proj_function.ipynb index bdc494284..445f66726 100644 --- a/demos/plot_proj_function.ipynb +++ b/demos/plot_proj_function.ipynb @@ -11,42 +11,42 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/plot_proj_function.ipynb)" + "This notebook demonstrates the different usages of the plot_proj function for Discrete Distribution and True Measure" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "# @title Execute this cell to install dependencies\n", - "try:\n", - " import google.colab\n", - " !pip install -q qmcpy\n", - "except:\n", - " pass" + "A Discrete Distribution or True Measure object with d dimensions has a maximum of $d\\times(d-1)$ dimensional pairings (for e.g: [2,3] and [3,2] are being considered seperate parings). The plot_proj function plots all or a subset of all the possible dimension pairings using the parameters d_vertical and d_horizontal and can also display extensibility based on the parameter n. Extensibility occurs when we want to plot the Discrete Distribution or True Measure Object with successively increasing numbers of points. Each set of points is displayed in a different color. This extensibility helps us see how the space fills up." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "This notebook demonstrates the different usages of the plot_proj function for Discrete Distribution and True Measure" + "### Here we set up the QMCPY environment enabling us to utilize this function:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "A Discrete Distribution or True Measure object with d dimensions has a maximum of $d\\times(d-1)$ dimensional pairings (for e.g: [2,3] and [3,2] are being considered seperate parings). The plot_proj function plots all or a subset of all the possible dimension pairings using the parameters d_vertical and d_horizontal and can also display extensibility based on the parameter n. Extensibility occurs when we want to plot the Discrete Distribution or True Measure Object with successively increasing numbers of points. Each set of points is displayed in a different color. This extensibility helps us see how the space fills up." + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/plot_proj_function.ipynb)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": null, "metadata": {}, + "outputs": [], "source": [ - "### Here we set up the QMCPY environment enabling us to utilize this function:" + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" ] }, { diff --git a/demos/qmcpy_intro.ipynb b/demos/qmcpy_intro.ipynb index 6283c2542..aa4bb2d20 100644 --- a/demos/qmcpy_intro.ipynb +++ b/demos/qmcpy_intro.ipynb @@ -8,6 +8,13 @@ "## Importing QMCPy" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here we show three different ways to import QMCPy in a Python environment. First, we can import the package `qmcpy` under the alias `qp`." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -29,13 +36,6 @@ " pass" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we show three different ways to import QMCPy in a Python environment. First, we can import the package `qmcpy` under the alias `qp`." - ] - }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/quickstart.ipynb b/demos/quickstart.ipynb index dbd9aed74..d020ed7dc 100644 --- a/demos/quickstart.ipynb +++ b/demos/quickstart.ipynb @@ -12,6 +12,23 @@ "In this tutorial, we introduce QMCPy [1] by an example. QMCPy can be installed with **pip install qmcpy** or cloned from the [QMCSoftware GitHub repository](https://github.com/QMCSoftware/QMCSoftware)." ] }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "iaAiqS7ccQ2v" + }, + "source": [ + "Consider the problem of integrating the Keister function [2] with respect to a $d$-dimensional Gaussian measure: \n", + "\n", + "$$f(\\boldsymbol{x}) = \\pi^{d/2} \\cos(||\\boldsymbol{x}||), \\qquad \\boldsymbol{x} \\in \\mathbb{R}^d, \\qquad \\boldsymbol{X} \\sim \\mathcal{N}(\\boldsymbol{0}_d,\\mathsf{I}_d/2), \n", + "\\\\ \\mu = \\mathbb{E}[f(\\boldsymbol{X})] := \\int_{\\mathbb{R}^d} f(\\boldsymbol{x}) \\, \\pi^{-d/2} \\exp( - ||\\boldsymbol{x}||^2) \\, \\rm d \\boldsymbol{x} \n", + "\\\\ = \\int_{[0,1]^d} \\pi^{d/2} \\cos\\left(\\sqrt{ \\frac 12 \\sum_{j=1}^d\\Phi^{-1}(x_j)}\\right) \\, \\rm d \\boldsymbol{x},$$ where $||\\boldsymbol{x}||$ is the Euclidean norm, $\\mathsf{I}_d$ is the $d$-dimensional identity matrix, and \n", + "$\\Phi$ denotes the standard normal cumulative distribution function. When $d=2$, $\\mu \\approx 1.80819$.\n", + "\n", + "The Keister function is implemented below with help from NumPy [3] in the following code snippet:" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -33,23 +50,6 @@ " pass" ] }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "iaAiqS7ccQ2v" - }, - "source": [ - "Consider the problem of integrating the Keister function [2] with respect to a $d$-dimensional Gaussian measure: \n", - "\n", - "$$f(\\boldsymbol{x}) = \\pi^{d/2} \\cos(||\\boldsymbol{x}||), \\qquad \\boldsymbol{x} \\in \\mathbb{R}^d, \\qquad \\boldsymbol{X} \\sim \\mathcal{N}(\\boldsymbol{0}_d,\\mathsf{I}_d/2), \n", - "\\\\ \\mu = \\mathbb{E}[f(\\boldsymbol{X})] := \\int_{\\mathbb{R}^d} f(\\boldsymbol{x}) \\, \\pi^{-d/2} \\exp( - ||\\boldsymbol{x}||^2) \\, \\rm d \\boldsymbol{x} \n", - "\\\\ = \\int_{[0,1]^d} \\pi^{d/2} \\cos\\left(\\sqrt{ \\frac 12 \\sum_{j=1}^d\\Phi^{-1}(x_j)}\\right) \\, \\rm d \\boldsymbol{x},$$ where $||\\boldsymbol{x}||$ is the Euclidean norm, $\\mathsf{I}_d$ is the $d$-dimensional identity matrix, and \n", - "$\\Phi$ denotes the standard normal cumulative distribution function. When $d=2$, $\\mu \\approx 1.80819$.\n", - "\n", - "The Keister function is implemented below with help from NumPy [3] in the following code snippet:" - ] - }, { "cell_type": "code", "execution_count": 4, diff --git a/demos/some_true_measures.ipynb b/demos/some_true_measures.ipynb index 3f6c2440f..d0ccd5709 100644 --- a/demos/some_true_measures.ipynb +++ b/demos/some_true_measures.ipynb @@ -8,27 +8,6 @@ "In this notebook we explore some of the new, lesser-known, `TrueMeasure` instances in QMCPy. Specifically, we look at the Kumaraswamy, Continuous Bernoulli, and Johnson's $S_U$ measures." ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/some_true_measures.ipynb)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# @title Execute this cell to install dependencies\n", - "try:\n", - " import google.colab\n", - " !pip install -q qmcpy\n", - "except:\n", - " pass" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -78,6 +57,27 @@ "## Imports" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/some_true_measures.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# @title Execute this cell to install dependencies\n", + "try:\n", + " import google.colab\n", + " !pip install -q qmcpy\n", + "except:\n", + " pass" + ] + }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb b/demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb index ccbcf4b1b..0444781d2 100644 --- a/demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb +++ b/demos/talk_paper_demos/ACMTOMS_Sorokin_2025/acm_toms_sorokin_2025.ipynb @@ -7,6 +7,13 @@ "# Quasi-Monte Carlo Generators, Randomizers, and Fast Transforms" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -29,13 +36,6 @@ " pass" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup" - ] - }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb index 83ea29296..e8f491a3f 100644 --- a/demos/talk_paper_demos/JOSS2026/joss2026.ipynb +++ b/demos/talk_paper_demos/JOSS2026/joss2026.ipynb @@ -8,6 +8,14 @@ "# JOSS 2026 " ] }, + { + "cell_type": "markdown", + "id": "e862347b", + "metadata": {}, + "source": [ + "## Setup" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -30,14 +38,6 @@ " pass" ] }, - { - "cell_type": "markdown", - "id": "e862347b", - "metadata": {}, - "source": [ - "## Setup" - ] - }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb b/demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb index 31a8118f2..2306384de 100644 --- a/demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb +++ b/demos/talk_paper_demos/MCQMC_Tutorial_2020/MCQMC_2020_QMC_Software_Tutorial.ipynb @@ -51,6 +51,18 @@ "View the companion pdf slides at https://speakerdeck.com/fjhickernell/quasi-monte-carlo-software and the introductory QMCPy blog at https://qmcpy.wordpress.com." ] }, + { + "cell_type": "markdown", + "metadata": { + "id": "EbOXiuCQVs46" + }, + "source": [ + "\n", + "\n", + "## Installation\n", + "QMCPy can be installed with ``pip install qmcpy`` or cloned from the [QMCSoftware GitHub repository](https://github.com/QMCSoftware/QMCSoftware). " + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -73,18 +85,6 @@ " pass" ] }, - { - "cell_type": "markdown", - "metadata": { - "id": "EbOXiuCQVs46" - }, - "source": [ - "\n", - "\n", - "## Installation\n", - "QMCPy can be installed with ``pip install qmcpy`` or cloned from the [QMCSoftware GitHub repository](https://github.com/QMCSoftware/QMCSoftware). " - ] - }, { "cell_type": "code", "execution_count": 1, diff --git a/demos/talk_paper_demos/pydata_chi_2023.ipynb b/demos/talk_paper_demos/pydata_chi_2023.ipynb index aa27bd624..1cbf375b7 100644 --- a/demos/talk_paper_demos/pydata_chi_2023.ipynb +++ b/demos/talk_paper_demos/pydata_chi_2023.ipynb @@ -22,6 +22,15 @@ "- $f: [0,1]^d \\to \\mathbb{R}$, transformed integrand" ] }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "640cf1d1-68b3-42a4-b2e8-bdc4e0e8b33e", + "metadata": {}, + "source": [ + "## Python Setup" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -43,15 +52,6 @@ " pass" ] }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "640cf1d1-68b3-42a4-b2e8-bdc4e0e8b33e", - "metadata": {}, - "source": [ - "## Python Setup" - ] - }, { "cell_type": "code", "execution_count": 1, diff --git a/scripts/harden_colab_notebook.py b/scripts/harden_colab_notebook.py index 2325231e5..060482a7f 100644 --- a/scripts/harden_colab_notebook.py +++ b/scripts/harden_colab_notebook.py @@ -21,13 +21,17 @@ DEFAULT_MANIFEST, EXTRA_PIP_DEPENDENCIES, REPO_ROOT, + as_source_list, badge_markup, + cell_source_text, discovered_notebooks, early_non_install_code_cells, imported_modules, + is_any_badge_cell, is_any_install_cell, local_module_matches, load_json, + pip_install_lines, validate_disabled_notebook, validate_enabled_notebook, validate_manifest, @@ -55,6 +59,7 @@ "latexmk", "computer modern", ) +COLAB_BADGE_IMAGE_FRAGMENT = "colab.research.google.com/assets/colab-badge.svg" def dump_json(path: Path, payload: dict) -> None: @@ -63,22 +68,6 @@ def dump_json(path: Path, payload: dict) -> None: handle.write("\n") -def as_source_text(source: str | list[str]) -> str: - if isinstance(source, str): - return source - return "".join(source) - - -def full_source(cells: list[dict], cell_types: set[str] | None = None) -> str: - if cell_types is None: - cell_types = {"code"} - return "\n".join( - as_source_text(cell.get("source", [])) - for cell in cells - if cell.get("cell_type") in cell_types - ) - - def discovered_imports(cells: list[dict]) -> set[str]: modules: set[str] = set() for idx, cell in enumerate(cells): @@ -86,7 +75,7 @@ def discovered_imports(cells: list[dict]) -> set[str]: continue modules.update( imported_modules( - as_source_text(cell.get("source", [])), + cell_source_text(cell), location=f"cell {idx + 1}", ) ) @@ -108,7 +97,11 @@ def local_repo_import_matches( def needs_latex_setup(cells: list[dict]) -> bool: - source = full_source(cells, {"code", "markdown"}) + source = "\n".join( + cell_source_text(cell) + for cell in cells + if cell.get("cell_type") in {"code", "markdown"} + ) return any(marker in source for marker in LATEX_MARKERS) @@ -121,6 +114,18 @@ def extra_pip_packages(cells: list[dict]) -> list[str]: package = names[0] if package not in packages: packages.append(package) + all_install_lines = [ + line + for cell in cells + if cell.get("cell_type") == "code" + for line in pip_install_lines(cell_source_text(cell)) + ] + for _, names in sorted(EXTRA_IMPORT_DEPENDENCIES.items()): + package = names[0] + if package in packages: + continue + if any(name.lower() in line for name in names for line in all_install_lines): + packages.append(package) return packages @@ -178,7 +183,7 @@ def bootstrap_cell_source(notebook_path: Path, manifest: dict, cells: list[dict] if latex_setup: lines.append( - " !apt-get update && apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng\n" + ' !tmp=$(mktemp) && if { apt-get update -qq && DEBIAN_FRONTEND=noninteractive apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng; } >"$tmp" 2>&1; then rm -f "$tmp"; else status=$?; cat "$tmp"; rm -f "$tmp"; exit $status; fi\n' ) if needs_repo_clone: @@ -201,36 +206,41 @@ def bootstrap_cell_source(notebook_path: Path, manifest: dict, cells: list[dict] lines.extend(["except:\n", " pass"]) return lines +def badge_stripped_cell(cell: dict) -> dict | None: + if not is_any_badge_cell(cell): + return cell -def first_code_index(cells: list[dict]) -> int: - for idx, cell in enumerate(cells): - if cell.get("cell_type") == "code": - return idx - return len(cells) - + kept_lines = [ + line + for line in as_source_list(cell.get("source", [])) + if COLAB_BADGE_IMAGE_FRAGMENT not in line + ] + if not "".join(kept_lines).strip(): + return None -def badge_exists(cells: list[dict], manifest: dict, notebook_path: Path) -> bool: - expected = badge_markup( - manifest["repo"], - manifest["git_ref"], - notebook_path.relative_to(REPO_ROOT).as_posix(), - ) - return any( - cell.get("cell_type") == "markdown" - and expected in as_source_text(cell.get("source", [])) - for cell in cells - ) + cleaned_cell = copy.deepcopy(cell) + cleaned_cell["source"] = kept_lines + return cleaned_cell def remove_any_badge_cells(cells: list[dict]) -> list[dict]: - return [ - cell - for cell in cells - if not ( - cell.get("cell_type") == "markdown" - and "colab.research.google.com" in as_source_text(cell.get("source", [])) - ) - ] + cleaned_cells: list[dict] = [] + for cell in cells: + cleaned_cell = badge_stripped_cell(cell) + if cleaned_cell is not None: + cleaned_cells.append(cleaned_cell) + return cleaned_cells + + +def badge_bootstrap_insert_index(cells: list[dict]) -> int: + insert_at = 0 + while insert_at < len(cells) and cells[insert_at].get("cell_type") == "markdown": + insert_at += 1 + first_code_cell = next( + (idx for idx, cell in enumerate(cells) if cell.get("cell_type") == "code"), + len(cells), + ) + return min(insert_at, first_code_cell) def remove_existing_bootstrap_cells(cells: list[dict]) -> list[dict]: @@ -260,8 +270,7 @@ def harden_notebook(notebook_path: Path, manifest_path: Path) -> None: remove_existing_bootstrap_cells(list(notebook_payload.get("cells", []))) ) - insert_at = 1 if kept_cells and kept_cells[0].get("cell_type") == "markdown" else 0 - insert_at = min(insert_at, first_code_index(kept_cells)) + insert_at = badge_bootstrap_insert_index(kept_cells) badge_cell = { "cell_type": "markdown", @@ -327,20 +336,27 @@ def harden_notebook(notebook_path: Path, manifest_path: Path) -> None: raise -def unclassified_notebooks(manifest_path: Path) -> list[Path]: - manifest = load_json(manifest_path) - enabled, disabled = manifest_sets(manifest) - unclassified = sorted(discovered_notebooks() - enabled - set(disabled)) - notebook_paths: list[Path] = [] - for notebook_rel in unclassified: - notebook_paths.append((REPO_ROOT / notebook_rel).resolve()) - return notebook_paths +def error_summary(exc: Exception) -> str: + return str(exc).splitlines()[0] if str(exc) else "unknown error" + +def validate_target_notebook(notebook_path: Path, notebook_rel: str) -> None: + if not notebook_path.exists(): + raise FileNotFoundError(f"Notebook not found: {notebook_rel}") + if notebook_path.suffix != ".ipynb": + raise ValueError(f"Expected a notebook path ending in .ipynb: {notebook_rel}") -def enabled_notebooks(manifest_path: Path) -> list[Path]: + +def manifest_notebook_paths(manifest_path: Path, mode: str) -> list[Path]: manifest = load_json(manifest_path) - enabled, _ = manifest_sets(manifest) - return sorted((REPO_ROOT / notebook_rel).resolve() for notebook_rel in enabled) + enabled, disabled = manifest_sets(manifest) + if mode == "enabled": + notebook_rels = enabled + elif mode == "unclassified": + notebook_rels = discovered_notebooks() - enabled - set(disabled) + else: # pragma: no cover - internal guard + raise ValueError(f"Unknown notebook selection mode: {mode}") + return sorted((REPO_ROOT / notebook_rel).resolve() for notebook_rel in notebook_rels) def disable_notebook(notebook_path: Path, manifest_path: Path, reason: str) -> None: @@ -376,46 +392,29 @@ def disable_notebook(notebook_path: Path, manifest_path: Path, reason: str) -> N raise -def harden_unclassified_notebooks( - manifest_path: Path, -) -> tuple[list[str], list[tuple[str, str]]]: - successes: list[str] = [] - failures: list[tuple[str, str]] = [] - - for notebook_path in unclassified_notebooks(manifest_path): - notebook_rel = notebook_path.relative_to(REPO_ROOT).as_posix() - try: - if not notebook_path.exists(): - raise FileNotFoundError(f"Notebook not found: {notebook_rel}") - if notebook_path.suffix != ".ipynb": - raise ValueError(f"Expected a notebook path ending in .ipynb: {notebook_rel}") - harden_notebook(notebook_path, manifest_path) - successes.append(notebook_rel) - except Exception as exc: - summary = str(exc).splitlines()[0] if str(exc) else "unknown error" - disable_notebook( - notebook_path, - manifest_path, - f"Automatic Colab hardening failed: {summary}", - ) - failures.append((notebook_rel, summary)) - - return successes, failures - - -def harden_enabled_notebooks( +def harden_batch( + notebook_paths: list[Path], manifest_path: Path, + *, + disable_failures: bool, ) -> tuple[list[str], list[tuple[str, str]]]: successes: list[str] = [] failures: list[tuple[str, str]] = [] - for notebook_path in enabled_notebooks(manifest_path): + for notebook_path in notebook_paths: notebook_rel = notebook_path.relative_to(REPO_ROOT).as_posix() try: + validate_target_notebook(notebook_path, notebook_rel) harden_notebook(notebook_path, manifest_path) successes.append(notebook_rel) except Exception as exc: - summary = str(exc).splitlines()[0] if str(exc) else "unknown error" + summary = error_summary(exc) + if disable_failures: + disable_notebook( + notebook_path, + manifest_path, + f"Automatic Colab hardening failed: {summary}", + ) failures.append((notebook_rel, summary)) return successes, failures @@ -459,10 +458,10 @@ def main() -> int: manifest_path = Path(args.manifest).resolve() if args.notebook: notebook_path = (REPO_ROOT / args.notebook).resolve() - if not notebook_path.exists(): - raise SystemExit(f"Notebook not found: {args.notebook}") - if notebook_path.suffix != ".ipynb": - raise SystemExit(f"Expected a notebook path ending in .ipynb: {args.notebook}") + try: + validate_target_notebook(notebook_path, args.notebook) + except (FileNotFoundError, ValueError) as exc: + raise SystemExit(str(exc)) from exc manifest = load_json(manifest_path) enabled, disabled = manifest_sets(manifest) notebook_rel = notebook_path.relative_to(REPO_ROOT).as_posix() @@ -479,7 +478,7 @@ def main() -> int: print(f"Hardened {notebook_rel} for Colab and added it to enabled.") return 0 except Exception as exc: - summary = str(exc).splitlines()[0] if str(exc) else "unknown error" + summary = error_summary(exc) disable_notebook( notebook_path, manifest_path, @@ -491,18 +490,19 @@ def main() -> int: print(f"Reason: {summary}") return 1 - if args.force: - successes, failures = harden_enabled_notebooks(manifest_path) - else: - successes, failures = harden_unclassified_notebooks(manifest_path) + mode = "enabled" if args.force else "unclassified" + successes, failures = harden_batch( + manifest_notebook_paths(manifest_path, mode), + manifest_path, + disable_failures=not args.force, + ) for notebook_rel in successes: print(f"Hardened {notebook_rel} for Colab.") if failures: print("") print("Not yet hardened:") for notebook_rel, error in failures: - summary = error.splitlines()[0] if error else "unknown error" - print(f"- {notebook_rel}: {summary}") + print(f"- {notebook_rel}: {error}") print("") print( f"Hardened {len(successes)} notebook(s); {len(failures)} notebook(s) still need manual follow-up." diff --git a/scripts/report_colab_notebook_patterns.py b/scripts/report_colab_notebook_patterns.py index 3ce690244..a70ecf060 100644 --- a/scripts/report_colab_notebook_patterns.py +++ b/scripts/report_colab_notebook_patterns.py @@ -20,17 +20,12 @@ validate_manifest, ) - -def first_badge_position(cells: list[dict]) -> int | None: - for idx, cell in enumerate(cells, start=1): - if is_any_badge_cell(cell): - return idx - return None - - -def first_bootstrap_cell(cells: list[dict]) -> tuple[int | None, str]: +def first_matching_cell( + cells: list[dict], + predicate, +) -> tuple[int | None, str]: for idx, cell in enumerate(cells, start=1): - if is_bootstrap_cell(cell): + if predicate(cell): return idx, cell_source_text(cell) return None, "" @@ -127,22 +122,22 @@ def run_report(manifest_path: Path) -> int: enabled, disabled = manifest_sets(manifest) family_groups: dict[str, list[str]] = defaultdict(list) - exact_groups: dict[str, list[str]] = defaultdict(list) placement_groups: dict[str, list[str]] = defaultdict(list) family_details: dict[str, dict[str, str]] = defaultdict(dict) for notebook_path in sorted(enabled): payload = load_json(REPO_ROOT / notebook_path) cells = payload.get("cells", []) - badge_position = first_badge_position(cells) - bootstrap_position, bootstrap_source = first_bootstrap_cell(cells) + badge_position, _ = first_matching_cell(cells, is_any_badge_cell) + bootstrap_position, bootstrap_source = first_matching_cell( + cells, is_bootstrap_cell + ) family = pattern_family(bootstrap_source) exact = exact_variant(bootstrap_source) placement = placement_label(badge_position, bootstrap_position) extra_installs = extra_install_commands(bootstrap_source) family_groups[family].append(notebook_path) - exact_groups[exact].append(notebook_path) placement_groups[placement].append(notebook_path) if extra_installs: @@ -165,7 +160,6 @@ def run_report(manifest_path: Path) -> int: family_groups, details=family_details, ) - print_grouped_notebooks("Enabled detailed bootstrap variants", exact_groups) print_grouped_notebooks("Badge/bootstrap placement", placement_groups) print_grouped_notebooks("Disabled notebooks by reason", disabled_groups) return 0 diff --git a/scripts/smoke_test_colab_notebooks.py b/scripts/smoke_test_colab_notebooks.py index e75a22d27..291151ce1 100644 --- a/scripts/smoke_test_colab_notebooks.py +++ b/scripts/smoke_test_colab_notebooks.py @@ -29,31 +29,16 @@ "testbook is required for Colab smoke tests. Install test dependencies, e.g. `pip install -e .[test]`." ) from exc -from check_colab_notebooks import python_source_for_ast +from check_colab_notebooks import ( + DEFAULT_MANIFEST, + cell_source_text, + is_bootstrap_cell, + load_json, + python_source_for_ast, +) REPO_ROOT = Path(__file__).resolve().parents[1] -DEFAULT_MANIFEST = Path(__file__).with_name("colab_notebooks_manifest.json") - - -def load_json(path: Path) -> dict: - with path.open(encoding="utf-8") as handle: - return json.load(handle) - - -def as_source_text(source: str | list[str]) -> str: - if isinstance(source, str): - return source - return "".join(source) - - -def is_colab_bootstrap_cell(cell: dict) -> bool: - if cell.get("cell_type") != "code": - return False - source = as_source_text(cell.get("source", [])) - return "import google.colab" in source and "pip install" in source - - def make_prelude_cell(notebook_path: Path) -> dict: notebook_dir = notebook_path.parent.resolve().as_posix() repo_root = REPO_ROOT.resolve().as_posix() @@ -217,7 +202,7 @@ def build_smoke_notebook(notebook_path: Path, cells_after_bootstrap: int) -> tup original_nb = json.load(handle) bootstrap_idx = next( - (idx for idx, cell in enumerate(original_nb["cells"]) if is_colab_bootstrap_cell(cell)), + (idx for idx, cell in enumerate(original_nb["cells"]) if is_bootstrap_cell(cell)), None, ) if bootstrap_idx is None: @@ -232,7 +217,7 @@ def build_smoke_notebook(notebook_path: Path, cells_after_bootstrap: int) -> tup continue if safe_code_cells >= cells_after_bootstrap: break - if not is_smoke_safe_code_cell(as_source_text(cell.get("source", ""))): + if not is_smoke_safe_code_cell(cell_source_text(cell)): break safe_code_cells += 1 stop_idx = idx @@ -244,7 +229,7 @@ def build_smoke_notebook(notebook_path: Path, cells_after_bootstrap: int) -> tup cloned = copy.deepcopy(cell) cloned["id"] = f"smoke-{idx}" if cloned.get("cell_type") == "code": - cloned["source"] = rewrite_bootstrap_source(as_source_text(cloned.get("source", ""))) + cloned["source"] = rewrite_bootstrap_source(cell_source_text(cloned)) cloned["execution_count"] = None cloned["outputs"] = [] temp_cells.append(cloned) diff --git a/test/test_scripts.py b/test/test_scripts.py new file mode 100644 index 000000000..5ec7959a9 --- /dev/null +++ b/test/test_scripts.py @@ -0,0 +1,93 @@ +from __future__ import annotations + +import sys +import unittest +from pathlib import Path + + +REPO_ROOT = Path(__file__).resolve().parents[1] +SCRIPTS_DIR = REPO_ROOT / "scripts" +if str(SCRIPTS_DIR) not in sys.path: + sys.path.insert(0, str(SCRIPTS_DIR)) + +import harden_colab_notebook as harden + + +class TestHardenColabNotebook(unittest.TestCase): + """Tests for Colab hardening helper functions.""" + + @staticmethod + def _markdown_cell(lines: list[str]) -> dict: + return {"cell_type": "markdown", "metadata": {}, "source": lines} + + @staticmethod + def _code_cell(source: str) -> dict: + return { + "cell_type": "code", + "metadata": {}, + "execution_count": None, + "outputs": [], + "source": [source], + } + + def test_badge_stripped_cell_preserves_intro_text(self): + cell = self._markdown_cell( + [ + "# ML Sensitivity Indices\n", + "\n", + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)]" + "(https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/iris.ipynb)\n", + "\n", + "This notebook demonstrates QMCPy's support for vectorized sensitivity index computation.\n", + ] + ) + + cleaned = harden.badge_stripped_cell(cell) + + self.assertIsNotNone(cleaned) + text = "".join(cleaned["source"]) + self.assertIn("# ML Sensitivity Indices", text) + self.assertIn("vectorized sensitivity index computation", text) + self.assertNotIn("Open In Colab", text) + self.assertNotIn("colab-badge.svg", text) + + def test_remove_any_badge_cells_drops_badge_only_cells(self): + cells = [ + self._markdown_cell( + [ + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)]" + "(https://colab.research.google.com/github/QMCSoftware/QMCSoftware/blob/develop/demos/iris.ipynb)\n" + ] + ), + self._code_cell("print('kept')\n"), + ] + + cleaned = harden.remove_any_badge_cells(cells) + + self.assertEqual(cleaned, [cells[1]]) + + def test_badge_bootstrap_insert_index_keeps_leading_markdown_block(self): + cells = [ + self._markdown_cell(["# Title\n"]), + self._markdown_cell(["Description paragraph.\n"]), + self._code_cell("print('first code')\n"), + ] + + self.assertEqual(harden.badge_bootstrap_insert_index(cells), 2) + + def test_extra_pip_packages_preserves_later_explicit_installs(self): + cells = [ + self._code_cell("import qmcpy as qp\n"), + self._code_cell("import ipywidgets as widgets\n"), + self._code_cell( + "try:\n" + " import QuantLib as ql\n" + "except ModuleNotFoundError:\n" + " !pip install -q QuantLib\n" + ), + ] + + self.assertEqual( + harden.extra_pip_packages(cells), + ["ipywidgets", "QuantLib"], + ) From c5305f17014e570e4b6bea0a18f6f6cdc789d754 Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Thu, 4 Jun 2026 22:16:38 -0500 Subject: [PATCH 13/20] Add branch notebook execution script --- scripts/execute_notebooks_from_branch.py | 245 +++++++++++++++++++++++ 1 file changed, 245 insertions(+) create mode 100644 scripts/execute_notebooks_from_branch.py diff --git a/scripts/execute_notebooks_from_branch.py b/scripts/execute_notebooks_from_branch.py new file mode 100644 index 000000000..d1595937a --- /dev/null +++ b/scripts/execute_notebooks_from_branch.py @@ -0,0 +1,245 @@ +#!/usr/bin/env python3 +""" +Execute notebooks from a GitHub branch checkout, with Colab-friendly defaults. + +Typical Colab usage: + + !python scripts/execute_notebooks_from_branch.py \ + --branch colab_easy_fix_redo \ + --notebook demos/quickstart.ipynb + +The script writes executed notebooks to an output directory and does not modify +the source notebooks in the checkout. +""" + +from __future__ import annotations + +import argparse +import json +import shutil +import subprocess +import sys +from pathlib import Path + + +DEFAULT_REPO_URL = "https://github.com/QMCSoftware/QMCSoftware.git" +DEFAULT_BRANCH = "develop" +DEFAULT_CHECKOUT_DIR = Path("/content/QMCSoftware") +DEFAULT_OUTPUT_DIR = Path("/content/qmcpy_executed_notebooks") +DEFAULT_MANIFEST = "scripts/colab_notebooks_manifest.json" + + +def run(command: list[str], cwd: Path | None = None) -> None: + label = " ".join(command) + if cwd is not None: + print(f"$ (cd {cwd} && {label})", flush=True) + else: + print(f"$ {label}", flush=True) + subprocess.run(command, cwd=cwd, check=True) + + +def ensure_checkout( + repo_url: str, + branch: str, + checkout_dir: Path, + fresh: bool, + update_existing: bool, +) -> Path: + checkout_dir = checkout_dir.expanduser().resolve() + if fresh and checkout_dir.exists(): + shutil.rmtree(checkout_dir) + + if (checkout_dir / ".git").exists(): + if update_existing: + run(["git", "fetch", "origin", branch], cwd=checkout_dir) + run(["git", "checkout", branch], cwd=checkout_dir) + run(["git", "pull", "--ff-only", "origin", branch], cwd=checkout_dir) + else: + print(f"Using existing checkout without updating: {checkout_dir}", flush=True) + elif checkout_dir.exists() and any(checkout_dir.iterdir()): + raise SystemExit( + f"{checkout_dir} exists and is not an empty git checkout. " + "Pass --fresh or choose another --checkout-dir." + ) + else: + checkout_dir.parent.mkdir(parents=True, exist_ok=True) + run( + [ + "git", + "clone", + "--depth", + "1", + "--branch", + branch, + repo_url, + str(checkout_dir), + ] + ) + + return checkout_dir + + +def load_manifest_notebooks(repo_root: Path, manifest_rel: str) -> list[str]: + manifest_path = repo_root / manifest_rel + with manifest_path.open(encoding="utf-8") as handle: + manifest = json.load(handle) + return list(manifest.get("enabled", [])) + + +def selected_notebooks(args: argparse.Namespace, repo_root: Path) -> list[str]: + notebooks = list(args.notebook) + if args.all_enabled: + notebooks.extend(load_manifest_notebooks(repo_root, args.manifest)) + if not notebooks: + raise SystemExit("No notebooks selected. Pass --notebook or --all-enabled.") + + seen: set[str] = set() + deduped: list[str] = [] + for notebook in notebooks: + normalized = notebook.strip().lstrip("./") + if not normalized or normalized in seen: + continue + seen.add(normalized) + deduped.append(normalized) + return deduped + + +def install_runner_dependencies(python: str) -> None: + run([python, "-m", "pip", "install", "-q", "nbconvert", "nbformat", "ipykernel"]) + + +def execute_notebook( + repo_root: Path, + notebook_rel: str, + output_dir: Path, + timeout: int, + kernel: str, + allow_errors: bool, +) -> None: + notebook_path = repo_root / notebook_rel + if not notebook_path.exists(): + raise FileNotFoundError(f"Notebook not found: {notebook_rel}") + + output_path = output_dir / notebook_rel + output_path.parent.mkdir(parents=True, exist_ok=True) + + command = [ + sys.executable, + "-m", + "jupyter", + "nbconvert", + "--to", + "notebook", + "--execute", + str(notebook_path), + "--output", + str(output_path), + "--ExecutePreprocessor.timeout", + str(timeout), + "--ExecutePreprocessor.kernel_name", + kernel, + ] + if allow_errors: + command.append("--allow-errors") + + run(command, cwd=repo_root) + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser( + description="Clone/fetch a branch and execute selected notebooks from it." + ) + parser.add_argument("--repo-url", default=DEFAULT_REPO_URL) + parser.add_argument("--branch", default=DEFAULT_BRANCH) + parser.add_argument( + "--checkout-dir", + type=Path, + default=DEFAULT_CHECKOUT_DIR, + help="Directory for the branch checkout. Defaults to /content/QMCSoftware.", + ) + parser.add_argument( + "--output-dir", + type=Path, + default=DEFAULT_OUTPUT_DIR, + help="Directory for executed notebook outputs.", + ) + parser.add_argument( + "--notebook", + action="append", + default=[], + help="Notebook path relative to the repo root. May be passed multiple times.", + ) + parser.add_argument( + "--all-enabled", + action="store_true", + help="Execute every enabled notebook listed in the Colab manifest.", + ) + parser.add_argument("--manifest", default=DEFAULT_MANIFEST) + parser.add_argument("--timeout", type=int, default=900) + parser.add_argument("--kernel", default="python3") + parser.add_argument( + "--fresh", + action="store_true", + help="Delete and reclone --checkout-dir before running.", + ) + parser.add_argument( + "--no-update-existing", + action="store_true", + help="If --checkout-dir is already a git checkout, use it as-is without fetching, checking out, or pulling.", + ) + parser.add_argument( + "--install-runner-deps", + action="store_true", + help="Install nbconvert/nbformat/ipykernel before executing notebooks.", + ) + parser.add_argument( + "--allow-errors", + action="store_true", + help="Write executed notebooks even if cells raise errors.", + ) + return parser.parse_args() + + +def main() -> int: + args = parse_args() + if args.install_runner_deps: + install_runner_dependencies(sys.executable) + + repo_root = ensure_checkout( + args.repo_url, + args.branch, + args.checkout_dir, + fresh=args.fresh, + update_existing=not args.no_update_existing, + ) + output_dir = args.output_dir.expanduser().resolve() + notebooks = selected_notebooks(args, repo_root) + + failures: list[tuple[str, str]] = [] + for index, notebook in enumerate(notebooks, start=1): + print(f"\n[{index}/{len(notebooks)}] Executing {notebook}", flush=True) + try: + execute_notebook( + repo_root, + notebook, + output_dir, + timeout=args.timeout, + kernel=args.kernel, + allow_errors=args.allow_errors, + ) + except Exception as exc: # noqa: BLE001 - print all failures at the end + failures.append((notebook, str(exc))) + print(f"FAILED: {notebook}: {exc}", file=sys.stderr, flush=True) + + if failures: + print("\nNotebook execution failed:", file=sys.stderr) + for notebook, error in failures: + print(f"- {notebook}: {error}", file=sys.stderr) + return 1 + + print(f"\nExecuted {len(notebooks)} notebook(s). Outputs are in {output_dir}.") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) From bcf7526e075f754697c902f7d5baf1b6f02325bf Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Fri, 5 Jun 2026 22:51:52 -0500 Subject: [PATCH 14/20] Skip Colab bootstrap during branch notebook execution --- scripts/execute_notebooks_from_branch.py | 113 +++++++++++++++++++---- 1 file changed, 93 insertions(+), 20 deletions(-) diff --git a/scripts/execute_notebooks_from_branch.py b/scripts/execute_notebooks_from_branch.py index d1595937a..1793b26a3 100644 --- a/scripts/execute_notebooks_from_branch.py +++ b/scripts/execute_notebooks_from_branch.py @@ -19,6 +19,7 @@ import shutil import subprocess import sys +import tempfile from pathlib import Path @@ -27,6 +28,12 @@ DEFAULT_CHECKOUT_DIR = Path("/content/QMCSoftware") DEFAULT_OUTPUT_DIR = Path("/content/qmcpy_executed_notebooks") DEFAULT_MANIFEST = "scripts/colab_notebooks_manifest.json" +DISABLED_BOOTSTRAP_SOURCE = [ + "# Colab bootstrap cell skipped by scripts/execute_notebooks_from_branch.py.\n", + "# The script is already running inside the selected checkout and executes\n", + "# with the current runtime environment.\n", + "pass\n", +] def run(command: list[str], cwd: Path | None = None) -> None: @@ -108,6 +115,55 @@ def install_runner_dependencies(python: str) -> None: run([python, "-m", "pip", "install", "-q", "nbconvert", "nbformat", "ipykernel"]) +def cell_source_text(cell: dict) -> str: + source = cell.get("source", []) + if isinstance(source, str): + return source + return "".join(source) + + +def is_colab_bootstrap_cell(cell: dict) -> bool: + source = cell_source_text(cell) + return ( + cell.get("cell_type") == "code" + and "import google.colab" in source + and "pip install" in source + ) + + +def execution_input_path(notebook_path: Path, skip_colab_bootstrap: bool) -> Path: + if not skip_colab_bootstrap: + return notebook_path + + with notebook_path.open(encoding="utf-8") as handle: + notebook = json.load(handle) + + changed = False + for cell in notebook.get("cells", []): + if not is_colab_bootstrap_cell(cell): + continue + cell["source"] = DISABLED_BOOTSTRAP_SOURCE + cell["execution_count"] = None + cell["outputs"] = [] + changed = True + + if not changed: + return notebook_path + + with tempfile.NamedTemporaryFile( + mode="w", + encoding="utf-8", + suffix=".ipynb", + prefix=".tmp_branch_execute_", + dir=notebook_path.parent, + delete=False, + ) as handle: + temp_path = Path(handle.name) + json.dump(notebook, handle) + + return temp_path + + def execute_notebook( repo_root: Path, notebook_rel: str, @@ -115,6 +171,7 @@ def execute_notebook( timeout: int, kernel: str, allow_errors: bool, + skip_colab_bootstrap: bool, ) -> None: notebook_path = repo_root / notebook_rel if not notebook_path.exists(): @@ -122,27 +179,33 @@ def execute_notebook( output_path = output_dir / notebook_rel output_path.parent.mkdir(parents=True, exist_ok=True) + input_path = execution_input_path(notebook_path, skip_colab_bootstrap) + + try: + command = [ + sys.executable, + "-m", + "jupyter", + "nbconvert", + "--to", + "notebook", + "--execute", + str(input_path), + "--output", + str(output_path), + "--ExecutePreprocessor.timeout", + str(timeout), + "--ExecutePreprocessor.kernel_name", + kernel, + ] + if allow_errors: + command.append("--allow-errors") + + run(command, cwd=repo_root) + finally: + if input_path != notebook_path and input_path.exists(): + input_path.unlink() - command = [ - sys.executable, - "-m", - "jupyter", - "nbconvert", - "--to", - "notebook", - "--execute", - str(notebook_path), - "--output", - str(output_path), - "--ExecutePreprocessor.timeout", - str(timeout), - "--ExecutePreprocessor.kernel_name", - kernel, - ] - if allow_errors: - command.append("--allow-errors") - - run(command, cwd=repo_root) def parse_args() -> argparse.Namespace: @@ -192,6 +255,15 @@ def parse_args() -> argparse.Namespace: action="store_true", help="Install nbconvert/nbformat/ipykernel before executing notebooks.", ) + parser.add_argument( + "--execute-colab-bootstrap", + action="store_true", + help=( + "Execute Colab bootstrap cells unchanged. By default they are skipped " + "in temporary execution copies because google.colab frontend messages " + "can break nbconvert kernels." + ), + ) parser.add_argument( "--allow-errors", action="store_true", @@ -226,6 +298,7 @@ def main() -> int: timeout=args.timeout, kernel=args.kernel, allow_errors=args.allow_errors, + skip_colab_bootstrap=not args.execute_colab_bootstrap, ) except Exception as exc: # noqa: BLE001 - print all failures at the end failures.append((notebook, str(exc))) From bf67778125cc31402b56fd5b97dca939da1e95bd Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Sat, 6 Jun 2026 09:49:52 -0500 Subject: [PATCH 15/20] Download Dakota Genz points in notebook --- demos/DAKOTA_Genz/dakota_genz.ipynb | 118 +++++++++++++++++++--------- 1 file changed, 82 insertions(+), 36 deletions(-) diff --git a/demos/DAKOTA_Genz/dakota_genz.ipynb b/demos/DAKOTA_Genz/dakota_genz.ipynb index 8dc04341f..586ec2ad7 100644 --- a/demos/DAKOTA_Genz/dakota_genz.ipynb +++ b/demos/DAKOTA_Genz/dakota_genz.ipynb @@ -287,42 +287,88 @@ } ], "source": [ - "if os.path.isfile(\"x_full_dakota.txt\"):\n", - " x_full_dakota = np.loadtxt(\"x_full_dakota.txt\")\n", - "else:\n", - " print(\"please download Dakota's Halton points from https://drive.google.com/uc?id=1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\")\n", - " # with tempfile.TemporaryDirectory() as tmp:\n", - " # with open(os.path.join(tmp, \"dakota.in\"), \"w\") as io:\n", - " # io.write(f\"environment\\\n", - " # \\ttabular_data\\n\\\n", - " # method\\\n", - " # \\tfsu_quasi_mc halton\\\n", - " # \\t\\tsamples = {ns.max()}\\\n", - " # \\toutput silent\\n\\\n", - " # variables\\\n", - " # \\tcontinuous_design = {ds.max()}\\\n", - " # \\tlower_bounds = {' '.join(['0.0' for _ in range(ds.max())])}\\\n", - " # \\tupper_bounds = {' '.join(['1.0' for _ in range(ds.max())])}\\n\\\n", - " # interface\\\n", - " # \\tfork\\\n", - " # \\t\\tanalysis_driver = 'dummy'\\\n", - " # \\tbatch\\\n", - " # \\twork_directory named 'work'\\n\\\n", - " # responses\\\n", - " # \\tobjective_functions = 1\\\n", - " # \\tno_gradients\\\n", - " # \\tno_hessians\"\n", - " # )\n", - " # subprocess.run([\"dakota\", \"dakota.in\"], cwd=tmp, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)\n", - " # file = os.listdir(os.path.join(tmp, \"work\"))[0]\n", - " # with open(os.path.join(tmp, \"work\", file), \"r\") as io:\n", - " # lines = io.readlines()\n", - " # x_full_dakota = []\n", - " # for n, line in enumerate(lines):\n", - " # if f\"{ds.max()} variables\" in line:\n", - " # x_full_dakota.append([float(lines[n + 1 + j].split()[0]) for j in range(ds.max())])\n", - " # x_full_dakota = np.vstack(x_full_dakota)\n", - " # np.savetxt(\"data/x_full_dakota.txt\",x_full_dakota)\n", + "def download_google_drive_file(file_id, destination):\n", + " import http.cookiejar\n", + " import re\n", + " import shutil\n", + " import urllib.parse\n", + " import urllib.request\n", + "\n", + " base_url = \"https://drive.google.com/uc?export=download\"\n", + " cookie_jar = http.cookiejar.CookieJar()\n", + " opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cookie_jar))\n", + "\n", + " def open_url(confirm_token=None):\n", + " params = {\"id\": file_id}\n", + " if confirm_token:\n", + " params[\"confirm\"] = confirm_token\n", + " return opener.open(f\"{base_url}&{urllib.parse.urlencode(params)}\")\n", + "\n", + " response = open_url()\n", + " if \"Content-Disposition\" not in response.headers:\n", + " page = response.read().decode(\"utf-8\", errors=\"ignore\")\n", + " token = next(\n", + " (cookie.value for cookie in cookie_jar if cookie.name.startswith(\"download_warning\")),\n", + " None,\n", + " )\n", + " if token is None:\n", + " match = re.search(r\"confirm=([0-9A-Za-z_\\-]+)&\", page)\n", + " token = match.group(1) if match else None\n", + " if token is None:\n", + " raise RuntimeError(\"Could not obtain Google Drive download confirmation token\")\n", + " response = open_url(token)\n", + "\n", + " with open(destination, \"wb\") as output_file:\n", + " shutil.copyfileobj(response, output_file)\n", + "\n", + "\n", + "def generate_dakota_halton_points(destination):\n", + " import textwrap\n", + "\n", + " with tempfile.TemporaryDirectory() as tmp:\n", + " with open(os.path.join(tmp, \"dakota.in\"), \"w\") as io:\n", + " io.write(textwrap.dedent(f\"\"\" environment\n", + " tabular_data\n", + " method\n", + " fsu_quasi_mc halton\n", + " samples = {ns.max()}\n", + " output silent\n", + " variables\n", + " continuous_design = {ds.max()}\n", + " lower_bounds = {' '.join(['0.0' for _ in range(ds.max())])}\n", + " upper_bounds = {' '.join(['1.0' for _ in range(ds.max())])}\n", + " interface\n", + " fork\n", + " analysis_driver = 'dummy'\n", + " batch\n", + " work_directory named 'work'\n", + " responses\n", + " objective_functions = 1\n", + " no_gradients\n", + " no_hessians\n", + " \"\"\"))\n", + " subprocess.run([\"dakota\", \"dakota.in\"], cwd=tmp, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, check=True)\n", + " file = os.listdir(os.path.join(tmp, \"work\"))[0]\n", + " with open(os.path.join(tmp, \"work\", file), \"r\") as io:\n", + " lines = io.readlines()\n", + " x_full_dakota = []\n", + " for n, line in enumerate(lines):\n", + " if f\"{ds.max()} variables\" in line:\n", + " x_full_dakota.append([float(lines[n + 1 + j].split()[0]) for j in range(ds.max())])\n", + " x_full_dakota = np.vstack(x_full_dakota)\n", + " np.savetxt(destination, x_full_dakota)\n", + "\n", + "\n", + "dakota_points_path = \"x_full_dakota.txt\"\n", + "if not os.path.isfile(dakota_points_path):\n", + " try:\n", + " download_google_drive_file(\"1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\", dakota_points_path)\n", + " except Exception as download_error:\n", + " print(f\"Could not download Dakota's Halton points: {download_error}\")\n", + " print(\"Attempting to generate Dakota's Halton points locally with the dakota executable.\")\n", + " generate_dakota_halton_points(dakota_points_path)\n", + "\n", + "x_full_dakota = np.loadtxt(dakota_points_path)\n", "print(x_full_dakota.shape)" ] }, From 6adeb3679c1bfeb849ec6b6efb5c948fa1f095c0 Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Sat, 6 Jun 2026 09:51:50 -0500 Subject: [PATCH 16/20] Remove Dakota Genz generation fallback --- demos/DAKOTA_Genz/dakota_genz.ipynb | 44 +---------------------------- 1 file changed, 1 insertion(+), 43 deletions(-) diff --git a/demos/DAKOTA_Genz/dakota_genz.ipynb b/demos/DAKOTA_Genz/dakota_genz.ipynb index 586ec2ad7..1c50edea3 100644 --- a/demos/DAKOTA_Genz/dakota_genz.ipynb +++ b/demos/DAKOTA_Genz/dakota_genz.ipynb @@ -322,51 +322,9 @@ " shutil.copyfileobj(response, output_file)\n", "\n", "\n", - "def generate_dakota_halton_points(destination):\n", - " import textwrap\n", - "\n", - " with tempfile.TemporaryDirectory() as tmp:\n", - " with open(os.path.join(tmp, \"dakota.in\"), \"w\") as io:\n", - " io.write(textwrap.dedent(f\"\"\" environment\n", - " tabular_data\n", - " method\n", - " fsu_quasi_mc halton\n", - " samples = {ns.max()}\n", - " output silent\n", - " variables\n", - " continuous_design = {ds.max()}\n", - " lower_bounds = {' '.join(['0.0' for _ in range(ds.max())])}\n", - " upper_bounds = {' '.join(['1.0' for _ in range(ds.max())])}\n", - " interface\n", - " fork\n", - " analysis_driver = 'dummy'\n", - " batch\n", - " work_directory named 'work'\n", - " responses\n", - " objective_functions = 1\n", - " no_gradients\n", - " no_hessians\n", - " \"\"\"))\n", - " subprocess.run([\"dakota\", \"dakota.in\"], cwd=tmp, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, check=True)\n", - " file = os.listdir(os.path.join(tmp, \"work\"))[0]\n", - " with open(os.path.join(tmp, \"work\", file), \"r\") as io:\n", - " lines = io.readlines()\n", - " x_full_dakota = []\n", - " for n, line in enumerate(lines):\n", - " if f\"{ds.max()} variables\" in line:\n", - " x_full_dakota.append([float(lines[n + 1 + j].split()[0]) for j in range(ds.max())])\n", - " x_full_dakota = np.vstack(x_full_dakota)\n", - " np.savetxt(destination, x_full_dakota)\n", - "\n", - "\n", "dakota_points_path = \"x_full_dakota.txt\"\n", "if not os.path.isfile(dakota_points_path):\n", - " try:\n", - " download_google_drive_file(\"1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\", dakota_points_path)\n", - " except Exception as download_error:\n", - " print(f\"Could not download Dakota's Halton points: {download_error}\")\n", - " print(\"Attempting to generate Dakota's Halton points locally with the dakota executable.\")\n", - " generate_dakota_halton_points(dakota_points_path)\n", + " download_google_drive_file(\"1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\", dakota_points_path)\n", "\n", "x_full_dakota = np.loadtxt(dakota_points_path)\n", "print(x_full_dakota.shape)" From 14eb1399d2797c795af5add2bbf1f93b1b1ac9e7 Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Sat, 6 Jun 2026 20:18:10 -0500 Subject: [PATCH 17/20] Use gdown for Dakota Genz data download --- demos/DAKOTA_Genz/dakota_genz.ipynb | 45 ++++++----------------------- 1 file changed, 9 insertions(+), 36 deletions(-) diff --git a/demos/DAKOTA_Genz/dakota_genz.ipynb b/demos/DAKOTA_Genz/dakota_genz.ipynb index 1c50edea3..c69097d78 100644 --- a/demos/DAKOTA_Genz/dakota_genz.ipynb +++ b/demos/DAKOTA_Genz/dakota_genz.ipynb @@ -28,7 +28,7 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy\n", + " !pip install -q qmcpy gdown\n", " !tmp=$(mktemp) && if { apt-get update -qq && DEBIAN_FRONTEND=noninteractive apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng; } >\"$tmp\" 2>&1; then rm -f \"$tmp\"; else status=$?; cat \"$tmp\"; rm -f \"$tmp\"; exit $status; fi\n", "except:\n", " pass" @@ -287,44 +287,17 @@ } ], "source": [ - "def download_google_drive_file(file_id, destination):\n", - " import http.cookiejar\n", - " import re\n", - " import shutil\n", - " import urllib.parse\n", - " import urllib.request\n", - "\n", - " base_url = \"https://drive.google.com/uc?export=download\"\n", - " cookie_jar = http.cookiejar.CookieJar()\n", - " opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cookie_jar))\n", - "\n", - " def open_url(confirm_token=None):\n", - " params = {\"id\": file_id}\n", - " if confirm_token:\n", - " params[\"confirm\"] = confirm_token\n", - " return opener.open(f\"{base_url}&{urllib.parse.urlencode(params)}\")\n", - "\n", - " response = open_url()\n", - " if \"Content-Disposition\" not in response.headers:\n", - " page = response.read().decode(\"utf-8\", errors=\"ignore\")\n", - " token = next(\n", - " (cookie.value for cookie in cookie_jar if cookie.name.startswith(\"download_warning\")),\n", - " None,\n", - " )\n", - " if token is None:\n", - " match = re.search(r\"confirm=([0-9A-Za-z_\\-]+)&\", page)\n", - " token = match.group(1) if match else None\n", - " if token is None:\n", - " raise RuntimeError(\"Could not obtain Google Drive download confirmation token\")\n", - " response = open_url(token)\n", - "\n", - " with open(destination, \"wb\") as output_file:\n", - " shutil.copyfileobj(response, output_file)\n", - "\n", + "import gdown\n", "\n", "dakota_points_path = \"x_full_dakota.txt\"\n", "if not os.path.isfile(dakota_points_path):\n", - " download_google_drive_file(\"1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\", dakota_points_path)\n", + " downloaded_path = gdown.download(\n", + " url=\"https://drive.google.com/uc?id=1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\",\n", + " output=dakota_points_path,\n", + " quiet=False,\n", + " )\n", + " if downloaded_path is None:\n", + " raise RuntimeError(\"Could not download Dakota's Halton points from Google Drive\")\n", "\n", "x_full_dakota = np.loadtxt(dakota_points_path)\n", "print(x_full_dakota.shape)" From 7fad83afc54f1aca27a2c516aac1a12badcd2699 Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Mon, 8 Jun 2026 11:58:13 -0500 Subject: [PATCH 18/20] Add local notebook execution script --- scripts/execute_notebook.py | 305 ++++++++++++++++++++++++++++++++++++ 1 file changed, 305 insertions(+) create mode 100644 scripts/execute_notebook.py diff --git a/scripts/execute_notebook.py b/scripts/execute_notebook.py new file mode 100644 index 000000000..c8ae5cf33 --- /dev/null +++ b/scripts/execute_notebook.py @@ -0,0 +1,305 @@ +#!/usr/bin/env python3 +""" +Execute a notebook from this checkout without writing run artifacts into the repo. + +Example: + + python3 scripts/execute_notebook.py demos/DAKOTA_Genz/dakota_genz.ipynb + +The script creates/reuses a temporary virtual environment, installs the notebook +runner dependencies, copies the notebook to a temporary working directory, +executes that copy, writes the executed notebook to /private/tmp by default, and +removes large run artifacts such as x_full_dakota.txt from the temp directory. +""" + +from __future__ import annotations + +import argparse +import json +import os +import shutil +import subprocess +import sys +import tempfile +import venv +from pathlib import Path + + +REPO_ROOT = Path(__file__).resolve().parents[1] +PREFERRED_TMP = Path("/private/tmp") +TMP_ROOT = PREFERRED_TMP if PREFERRED_TMP.exists() else Path(tempfile.gettempdir()) +DEFAULT_VENV = TMP_ROOT / "qmcpy-notebook-exec-venv" +DEFAULT_OUTPUT_DIR = TMP_ROOT / "qmcpy_executed_notebooks" +DEFAULT_PACKAGES = ["nbconvert", "ipykernel", "pandas", "matplotlib", "gdown", "."] +DEFAULT_CLEANUP_GLOBS = ["x_full_dakota.txt"] + + +def run( + command: list[str], + cwd: Path | None = None, + env: dict[str, str] | None = None, +) -> subprocess.CompletedProcess: + label = " ".join(command) + if cwd is None: + print(f"$ {label}", flush=True) + else: + print(f"$ (cd {cwd} && {label})", flush=True) + return subprocess.run(command, cwd=cwd, env=env, check=False) + + +def create_venv(venv_dir: Path) -> None: + if (venv_dir / "bin" / "python").exists(): + return + print(f"Creating virtual environment: {venv_dir}", flush=True) + venv_dir.parent.mkdir(parents=True, exist_ok=True) + venv.EnvBuilder(with_pip=True).create(venv_dir) + + +def install_packages(python: Path, packages: list[str]) -> None: + if not packages: + return + result = run([str(python), "-m", "pip", "install", "-q", *packages], cwd=REPO_ROOT) + if result.returncode: + raise SystemExit(result.returncode) + + +def runner_python(args: argparse.Namespace) -> Path: + if args.python: + python = args.python.expanduser() + if not args.skip_install: + packages = [] if args.no_default_packages else list(DEFAULT_PACKAGES) + packages.extend(args.package) + install_packages(python, packages) + return python + + venv_dir = args.venv.expanduser().resolve() + create_venv(venv_dir) + python = venv_dir / "bin" / "python" + if not args.skip_install: + packages = [] if args.no_default_packages else list(DEFAULT_PACKAGES) + packages.extend(args.package) + install_packages(python, packages) + return python + + +def run_repo_checks(args: argparse.Namespace) -> None: + if args.skip_repo_checks: + return + + checks = [ + [sys.executable, "scripts/check_colab_notebooks.py", "--strict"], + ["git", "diff", "--check"], + ] + for command in checks: + result = run(command, cwd=REPO_ROOT) + if result.returncode: + raise SystemExit(result.returncode) + + +def notebook_errors(executed_path: Path) -> list[tuple[int, str, str]]: + with executed_path.open(encoding="utf-8") as handle: + notebook = json.load(handle) + + errors: list[tuple[int, str, str]] = [] + for index, cell in enumerate(notebook.get("cells", [])): + for output in cell.get("outputs", []): + if output.get("output_type") == "error": + errors.append( + ( + index, + output.get("ename", ""), + output.get("evalue", ""), + ) + ) + return errors + + +def execution_env() -> dict[str, str]: + env = os.environ.copy() + cache_paths = { + "MPLCONFIGDIR": TMP_ROOT / "qmcpy-mpl-cache", + "XDG_CACHE_HOME": TMP_ROOT / "qmcpy-xdg-cache", + "IPYTHONDIR": TMP_ROOT / "qmcpy-ipython", + } + for name, path in cache_paths.items(): + path.mkdir(parents=True, exist_ok=True) + env.setdefault(name, str(path)) + env.setdefault("JUPYTER_PLATFORM_DIRS", "1") + return env + + +def cleanup_run_dir(run_dir: Path, cleanup_globs: list[str]) -> None: + for pattern in cleanup_globs: + for path in run_dir.glob(pattern): + if path.is_dir(): + shutil.rmtree(path) + else: + path.unlink(missing_ok=True) + + +def execute_notebook(args: argparse.Namespace, python: Path) -> Path: + notebook_path = args.notebook.expanduser().resolve() + if not notebook_path.exists(): + raise SystemExit(f"Notebook not found: {notebook_path}") + if not notebook_path.is_relative_to(REPO_ROOT): + raise SystemExit(f"Notebook must be inside repo root: {REPO_ROOT}") + + output_dir = args.output_dir.expanduser().resolve() + output_dir.mkdir(parents=True, exist_ok=True) + output_path = ( + args.output.expanduser().resolve() + if args.output + else output_dir / notebook_path.name + ) + + if args.work_dir: + run_dir = args.work_dir.expanduser().resolve() + run_dir.mkdir(parents=True, exist_ok=True) + return execute_notebook_in_dir(args, python, notebook_path, run_dir, output_path) + + if args.keep_work_dir: + run_dir = Path(tempfile.mkdtemp(prefix="qmcpy-notebook-run-", dir=TMP_ROOT)) + print(f"Keeping work directory: {run_dir}", flush=True) + return execute_notebook_in_dir(args, python, notebook_path, run_dir, output_path) + + with tempfile.TemporaryDirectory( + prefix="qmcpy-notebook-run-", + dir=TMP_ROOT, + ) as run_dir_text: + return execute_notebook_in_dir( + args, + python, + notebook_path, + Path(run_dir_text), + output_path, + ) + + +def execute_notebook_in_dir( + args: argparse.Namespace, + python: Path, + notebook_path: Path, + run_dir: Path, + output_path: Path, +) -> Path: + run_notebook = run_dir / notebook_path.name + shutil.copy2(notebook_path, run_notebook) + + command = [ + str(python), + "-m", + "jupyter", + "nbconvert", + "--to", + "notebook", + "--execute", + run_notebook.name, + "--output", + str(output_path), + f"--ExecutePreprocessor.timeout={args.timeout}", + f"--ExecutePreprocessor.kernel_name={args.kernel}", + ] + if args.allow_nbconvert_errors: + command.append("--allow-errors") + + try: + result = run(command, cwd=run_dir, env=execution_env()) + if result.returncode: + raise SystemExit(result.returncode) + return output_path + finally: + if not args.keep_artifacts: + cleanup_run_dir(run_dir, args.cleanup_glob) + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser( + description="Execute a notebook in a temporary working directory." + ) + parser.add_argument("notebook", type=Path, help="Notebook path inside this repo.") + parser.add_argument("--venv", type=Path, default=DEFAULT_VENV) + parser.add_argument( + "--python", + type=Path, + help="Use this Python interpreter instead of creating/reusing --venv.", + ) + parser.add_argument( + "--skip-install", + action="store_true", + help="Do not install packages into the runner Python.", + ) + parser.add_argument( + "--no-default-packages", + action="store_true", + help="Do not install the default runner package set.", + ) + parser.add_argument( + "--package", + action="append", + default=[], + help="Extra pip package to install in the runner Python. May be repeated.", + ) + parser.add_argument("--timeout", type=int, default=1800) + parser.add_argument("--kernel", default="python3") + parser.add_argument("--output-dir", type=Path, default=DEFAULT_OUTPUT_DIR) + parser.add_argument("--output", type=Path) + parser.add_argument( + "--work-dir", + type=Path, + help="Use this working directory instead of a temporary directory.", + ) + parser.add_argument( + "--keep-work-dir", + action="store_true", + help="Keep an automatically-created working directory after execution.", + ) + parser.add_argument( + "--keep-artifacts", + action="store_true", + help="Do not remove cleanup-glob matches from the working directory.", + ) + parser.add_argument( + "--cleanup-glob", + action="append", + default=list(DEFAULT_CLEANUP_GLOBS), + help="Artifact glob to remove from the working directory after execution.", + ) + parser.add_argument( + "--skip-repo-checks", + action="store_true", + help="Skip check_colab_notebooks.py --strict and git diff --check.", + ) + parser.add_argument( + "--allow-nbconvert-errors", + action="store_true", + help="Pass --allow-errors to nbconvert so it writes output after cell errors.", + ) + parser.add_argument( + "--allow-cell-errors", + action="store_true", + help="Return success even if the executed notebook contains error outputs.", + ) + return parser.parse_args() + + +def main() -> int: + args = parse_args() + run_repo_checks(args) + python = runner_python(args) + output_path = execute_notebook(args, python) + + print(f"Executed notebook written to: {output_path}", flush=True) + errors = notebook_errors(output_path) + if errors: + print("\nNotebook error outputs:", file=sys.stderr) + for cell_index, name, value in errors: + print(f"- cell {cell_index}: {name}: {value}", file=sys.stderr) + if not args.allow_cell_errors: + return 1 + + print("Notebook execution completed without error outputs.") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) From 9c6228134df588bb7186a5c7e681365504360cc0 Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Mon, 8 Jun 2026 15:08:00 -0500 Subject: [PATCH 19/20] Comment out gdown in Dakota notebook --- demos/DAKOTA_Genz/dakota_genz.ipynb | 21 ++++++++++++--------- 1 file changed, 12 insertions(+), 9 deletions(-) diff --git a/demos/DAKOTA_Genz/dakota_genz.ipynb b/demos/DAKOTA_Genz/dakota_genz.ipynb index c69097d78..d9bff9743 100644 --- a/demos/DAKOTA_Genz/dakota_genz.ipynb +++ b/demos/DAKOTA_Genz/dakota_genz.ipynb @@ -28,7 +28,8 @@ "# @title Execute this cell to install dependencies\n", "try:\n", " import google.colab\n", - " !pip install -q qmcpy gdown\n", + " !pip install -q qmcpy\n", + " # !pip install -q gdown\n", " !tmp=$(mktemp) && if { apt-get update -qq && DEBIAN_FRONTEND=noninteractive apt-get install -y -qq --no-install-recommends texlive-latex-base texlive-fonts-recommended texlive-latex-extra cm-super dvipng; } >\"$tmp\" 2>&1; then rm -f \"$tmp\"; else status=$?; cat \"$tmp\"; rm -f \"$tmp\"; exit $status; fi\n", "except:\n", " pass" @@ -287,17 +288,19 @@ } ], "source": [ - "import gdown\n", + "# import gdown\n", "\n", "dakota_points_path = \"x_full_dakota.txt\"\n", "if not os.path.isfile(dakota_points_path):\n", - " downloaded_path = gdown.download(\n", - " url=\"https://drive.google.com/uc?id=1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\",\n", - " output=dakota_points_path,\n", - " quiet=False,\n", - " )\n", - " if downloaded_path is None:\n", - " raise RuntimeError(\"Could not download Dakota's Halton points from Google Drive\")\n", + " print(\"please download Dakota's Halton points from https://drive.google.com/uc?id=1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\")\n", + " # downloaded_path = gdown.download(\n", + " # url=\"https://drive.google.com/uc?id=1ljmpq3w5L4OjjdinAMSLhXBeWGW6EJ3U\",\n", + " # output=dakota_points_path,\n", + " # quiet=False,\n", + " # )\n", + " # if downloaded_path is None:\n", + " # raise RuntimeError(\"Could not download Dakota's Halton points from Google Drive\")\n", + " raise FileNotFoundError(f\"{dakota_points_path} is required before continuing\")\n", "\n", "x_full_dakota = np.loadtxt(dakota_points_path)\n", "print(x_full_dakota.shape)" From f359455867d4b8e0f72d5332575c85d68d58e3be Mon Sep 17 00:00:00 2001 From: zitterbewegung <30265+zitterbewegung@users.noreply.github.com> Date: Tue, 9 Jun 2026 08:48:38 -0500 Subject: [PATCH 20/20] Fix Windows notebook CI LaTeX setup --- .github/workflows/alltests.yml | 3 ++- test/booktests/__init__.py | 19 ++++++++++++++----- 2 files changed, 16 insertions(+), 6 deletions(-) diff --git a/.github/workflows/alltests.yml b/.github/workflows/alltests.yml index 25f6a60a4..e185df48b 100644 --- a/.github/workflows/alltests.yml +++ b/.github/workflows/alltests.yml @@ -260,6 +260,7 @@ jobs: mpm --admin --install=lmodern mpm --admin --install=type1cm mpm --admin --install=tex-gyre + mpm --admin --install=underscore latex --version latexmk -v dvipng --version @@ -353,4 +354,4 @@ jobs: fail_ci_if_error: false files: ./artifacts/coverage/booktests/coverage.json -# For success reports, see https://github.com/QMCSoftware/QMCSoftware/actions?query=is%3Asuccess+workflow%3AAll+Tests \ No newline at end of file +# For success reports, see https://github.com/QMCSoftware/QMCSoftware/actions?query=is%3Asuccess+workflow%3AAll+Tests diff --git a/test/booktests/__init__.py b/test/booktests/__init__.py index 2d2041082..525b66086 100644 --- a/test/booktests/__init__.py +++ b/test/booktests/__init__.py @@ -3,18 +3,27 @@ Each tb_*.py file tests a single demo notebook. """ -import unittest, gc -from pathlib import Path -import psutil import gc -import time import os import subprocess import sys +import tempfile +import time +import unittest +import uuid +from pathlib import Path + +import psutil from testbook import testbook import nbformat + +if os.name == "nt": + worker_id = os.environ.get("PYTEST_XDIST_WORKER", "main") + mpl_config_dir = Path(tempfile.gettempdir()) / "qmcpy-matplotlib" / worker_id + mpl_config_dir.mkdir(parents=True, exist_ok=True) + os.environ.setdefault("MPLCONFIGDIR", str(mpl_config_dir)) + import matplotlib -import uuid matplotlib.rcParams["text.usetex"] = False # Disable LaTeX