The source code and dockerfile for the GSW2024 AI Lab.
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example usage of Tempestpy"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"vscode": {
"languageId": "plaintext"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"pygame 2.6.0 (SDL 2.28.4, Python 3.10.12)\n",
"Hello from the pygame community. https://www.pygame.org/contribute.html\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"2024-09-24 13:00:24.842265: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"2024-09-24 13:00:24.857294: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"2024-09-24 13:00:24.861712: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"2024-09-24 13:00:24.871856: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"2024-09-24 13:00:25.712381: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
"error: XDG_RUNTIME_DIR not set in the environment.\n"
]
}
],
"source": [
"from sb3_contrib import MaskablePPO\n",
"from sb3_contrib.common.wrappers import ActionMasker\n",
"from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat\n",
"\n",
"import gymnasium as gym\n",
"\n",
"from minigrid.core.actions import Actions\n",
"from minigrid.core.constants import TILE_PIXELS\n",
"from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper\n",
"\n",
"import tempfile, datetime, shutil\n",
"\n",
"import time\n",
"import os\n",
"\n",
"from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image\n",
"from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback\n",
"\n",
"import os, sys\n",
"from copy import deepcopy\n",
"\n",
"from PIL import Image"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"vscode": {
"languageId": "plaintext"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Starting the training\n"
]
},
{
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",
"text/plain": [
"<PIL.Image.Image image mode=RGB size=480x480>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"Computing new shield\n",
"LOG: Starting with explicit model creation...\n",
"Elapsed time is 0.053414344787597656 seconds.\n",
"LOG: Starting with model checking...\n",
"Elapsed time is 0.0018138885498046875 seconds.\n",
"LOG: Starting to translate shield...\n",
"Elapsed time is 0.08892679214477539 seconds.\n",
"\n",
"\n",
"Computing new shield\n",
"LOG: Starting with explicit model creation...\n",
"Elapsed time is 0.04616570472717285 seconds.\n",
"LOG: Starting with model checking...\n",
"Elapsed time is 0.0017552375793457031 seconds.\n",
"LOG: Starting to translate shield...\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1211\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1222\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1233\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1244\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1255\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1266\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1277\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1288\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1299\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1344\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1355\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1366\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1377\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1388\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1399\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1410\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1421\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1432\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1460\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1471\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1482\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1493\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1504\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1515\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1526\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1537\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1604\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1615\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1626\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1637\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1648\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1659\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1670\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1681\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4689\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4711\n",
"Elapsed time is 0.0928337574005127 seconds.\n",
"\n",
"\n",
"Computing new shield\n",
"LOG: Starting with explicit model creation...\n",
"Elapsed time is 0.04615354537963867 seconds.\n",
"LOG: Starting with model checking...\n",
"Elapsed time is 0.0014677047729492188 seconds.\n",
"LOG: Starting to translate shield...\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1211\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1222\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1233\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1244\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1255\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1266\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1277\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1288\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1299\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1344\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1355\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1366\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1377\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1388\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1399\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1410\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1421\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1432\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1460\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1471\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1482\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1493\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1504\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1515\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1526\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1537\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1604\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1615\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1626\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1637\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1648\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1659\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1670\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1681\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4689\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4711\n",
"Elapsed time is 0.08211565017700195 seconds.\n",
"\n",
"\n",
"Computing new shield\n",
"LOG: Starting with explicit model creation...\n",
"Elapsed time is 0.045874834060668945 seconds.\n",
"LOG: Starting with model checking...\n",
"Elapsed time is 0.0018587112426757812 seconds.\n",
"LOG: Starting to translate shield...\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1210\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1211\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1221\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1222\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1232\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1233\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1243\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1244\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1254\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1255\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1265\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1266\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1276\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1277\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1287\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1288\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1298\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1299\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1332\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1343\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1344\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1354\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1355\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1365\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1366\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1376\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1377\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1387\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1388\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1398\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1399\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1409\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1410\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1420\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1421\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1432\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1460\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1461\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1471\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1472\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1482\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1483\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1493\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1494\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1504\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1505\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1515\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1516\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1526\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1527\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1537\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1538\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1604\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1615\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1616\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1626\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1627\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1637\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1638\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1648\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1649\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1659\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1660\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1670\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1671\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1681\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1682\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1693\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4689\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4695\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4711\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4718\n",
"Elapsed time is 0.0849301815032959 seconds.\n",
"\n",
"\n",
"Computing new shield\n",
"LOG: Starting with explicit model creation...\n",
"Elapsed time is 0.04583621025085449 seconds.\n",
"LOG: Starting with model checking...\n",
"Elapsed time is 0.0014719963073730469 seconds.\n",
"LOG: Starting to translate shield...\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1205\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1206\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1207\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1208\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1209\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1210\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1211\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1216\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1217\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1218\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1219\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1220\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1221\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1222\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1227\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1228\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1229\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1230\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1231\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1232\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1233\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1238\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1239\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1240\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1241\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1242\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1243\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1244\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1249\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1250\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1251\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1252\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1253\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1254\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1255\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1261\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1262\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1263\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1264\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1265\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1266\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1273\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1274\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1275\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1276\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1277\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1285\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1286\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1287\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1288\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1297\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1298\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1299\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1316\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1317\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1318\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1319\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1320\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1327\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1328\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1329\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1330\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1331\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1332\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1338\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1339\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1340\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1341\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1342\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1343\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1344\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1349\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1350\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1351\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1352\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1353\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1354\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1355\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1360\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1361\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1362\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1363\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1364\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1365\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1366\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1372\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1373\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1374\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1375\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1376\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1377\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1384\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1385\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1386\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1387\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1388\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1396\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1397\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1398\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1399\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1408\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1409\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1410\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1420\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1421\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1432\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1460\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1461\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1462\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1463\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1464\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1471\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1472\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1473\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1474\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1475\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1476\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1482\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1483\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1484\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1485\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1486\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1487\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1488\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1493\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1494\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1495\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1496\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1497\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1498\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1499\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1504\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1505\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1506\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1507\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1508\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1509\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1510\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1515\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1516\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1517\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1518\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1519\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1520\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1521\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1526\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1527\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1528\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1529\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1530\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1531\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1532\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1537\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1538\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1539\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1540\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1541\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1542\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1543\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1604\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1615\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1616\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1626\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1627\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1628\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1637\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1638\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1639\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1640\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1648\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1649\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1650\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1651\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1652\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1659\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1660\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1661\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1662\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1663\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1664\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1670\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1671\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1672\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1673\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1674\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1675\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1676\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1681\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1682\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1683\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1684\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1685\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1686\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1687\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1693\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1694\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1695\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1696\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1697\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1698\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1705\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1706\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1707\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1708\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1709\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1717\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1718\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1719\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1720\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1729\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1730\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1731\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4689\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4695\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4711\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4718\n",
" WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4725\n",
"Elapsed time is 0.08353805541992188 seconds.\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<PIL.Image.Image image mode=RGBA size=480x480>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The shield for shield_value = 0.0\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<PIL.Image.Image image mode=RGBA size=480x480>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The shield for shield_value = 0.9\n"
]
},
{
"data": {
"image/png": 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JpWl7bL3HJuYH6zy+PDaMH1fAo6XHJh6dx79JF8K3SZmy1y8Rwtl8jGF7j/dxeB2lutzbVZ1wjxe/vgm+MdoasWza3uN9E39Rvc0ry7jHi1/fhJfgY7QzYtnE+LU2sQ8FWK1kmfqvp/7JMe2aEr5dCpW9fWn1I5se8MMAUnyM4eGz8AKNoCJGQV8LH0WIJTu4CrbI3/SiDoAXeeAbCaOh0VPWCS97wGMgpyOgw0s0LjSoYwdXndpc0h7P5gEV+Ec+JIx2ts92Mj71L7n+1S2j/e/STq7tpeHWqRRAPTk51U8VYjS/DYgZzX9vR1/eqSq8ahKQlJ8FsQUv7gsj4ZEkDNSyILbgRV7xiXmd8AgRXnUISMpv+yiSArEFL+4LI+GRJDtqGusteLFOfGJeJ8an/iXXP90WYvOEb0wVrmtSYCkQzgbA6O3iUST0ZKW3KiDGizOeBsjKc7x2QJZ+RElAfDvAGT1qSQLepl41ert4FEg+vCAQxhQvzgBk5TleOyBLP6IkIEYe9GgkCXibetWMT/1Lrn/STmJTwjemCtd1KbAECGcDYBEzBmIBqQWv2MjAKw1isekCr/iQaQyEAlILXrF5/73zj8+ITRd4xYdMGf88iEVL6h+0iXyrek31T9qBTAlfUYJTjwK5Qzg7AIvIFsR4SYe9byt5ZapB/Oh5+31ksWmaWhDiJQk40bUlfSL8OfR+0ZuGH09i/F0QU/+y6h/aDOHrOXPQxiqQM4SdeLBFnG5ZQDwkAkDcBeu+/gSEffMjH0DcBeu+/hi/BnFfvaj/Ouof4TukxjNvlwK5Qjibx5C6BOR2KkAFylCA8C3jOM9dyhzrFQE8dy1gPCpABRoVyPEk2biz3LA4BXKrXwTw4qoQd5gKrFOB3E6O61SZpcqpnhHArI9UgAokVyCnk2JyMbgDkyuQS317Z7PZ/Dl5aVsCfHX1sGXrDJsSh5+hhAxBBRoV+P74SuO2uTZ8cffuXKEYhwrsKPCPb7+tUta/7EdB76jFBSpABUZX4OjoaHSffR0ebjbV4WG6/4JDB4TxC9X/GSrplbT/gPISdN8zBfNRASowqgK5XAYctVB0tggFtvDNYE8J4AwOAneBCpSmAOFb2hHPp7y5wBeKEMD51AvuCRUoQgHCt4jDnGUhc4IvBCKAs6wm3CkqsE4FCN91HtcllCo3+EIzAngJNYf7SAVWoADhu4KDuNAi5AhfSEkAL7RCcbepwJIUIHyXdLTWta+5whcqZwPgl/8O3/x9OezAI7/HBrFsOv49fPP3P3Zt+zLye2wQyybG92lJ/W1Nal+GXrH6126131bCdz/9aO1XIGf4olTZPAf8+ZOqwjd8m775qw+B/u4v1g+1ufe3qvrmM+2xql4EKOO7s03fnNW5cRJD/rfH9dqhNh9drKobl7VHxqf+aevfbm0cb4nwHU9LehqmQO7wRWmyAfD921X18teqevaqqj79Og5VC96rf60PyBAbwBqxbMK3e4//qKH6/Kc4iC14L7xbewGI+9oA1ohlE+NT/5T1z9bHMZYJ3zFUpA+PAkuAL8qVDYDx/d6nm/qS8oMnuyB+EIB58LReh50GeAFRrEfCtocn2wXe1qarl4zv994ML0XRkBWoAo6v3571eAHej8O6Ty7V8V//VlU/nmxvsunqJTM+9U9Z/+qaPN5fwnc8LelpmAJLgS9KlQ2AReIYiD97VG+14BUbwFaAKyAWmy7wig+ZxkD43S/1VgtesQGI8dMgFpsu8IoPmTL+eRCLltR/9x8/qTNj1j/xuc+U8N1HPdruo8CS4ItyZgdgEV+DGFC9FXrI0uOVPHaqQfzsZd1Lhh9P0iBE73d76ThAti3pEyEuS6PnDD+exPhnIKb+89c/T52FDeHrVY52+yqwNPiivNkCWA4GADoUoltQn1yeFj/eKUB4YyBEAeKxEuNT/5T1b0g9JnyHqMW8YyqwRPii/Nk8hvTgcVVdO6jv5/Y5MBiQdfuw/vV9FAn3ihEDsWx68aaq/vm6voxst8WWca/4+VH9w3yfhEvUiIFYNjE+9U9Z/2x9HLpM+A5VjPnHUmCp8EX5s+oBvwqjoPE40sMASj3ISh8oOxIa22Tg1cGdeG9ZBmnBf1vCKNQfwuNFGFClB1lpGz1IS9bLwKvrH8QvOcu9YfhvS4xP/VPWv7a62baN8G1Th9umVGDJ8IUu2QD44O9Vde9m6J0GAOOxIgtiC14ZXIVCiI0FsQWv2MQuaV//sKouXzx7vteeCC14ZXAV4sszwRbEFrxig8vKNjE+9U9Z/2x97LtM+PZVivmmUAD1b8kQzgbAODgAo30UCSDGT1IMotYGINYpZqO3yzzAaB8FAYjxkxSDqLUBiHWK2ejtMs/41N/WpTnrn9TDvlPCt69SzDelAkuGcFYAloMUA3EXRD02Es9OYyDsgqjHxsaVZY8vj43Es1OPL4+NjSvLHl8eG4lnpx5fHhsbV5Y9vjw2Es8zJXw9qtFmKgWWCuEsASwHSaAqy32mHpsmv3JSa9oeW++xifnBOo8vjw3jxxXwaOmxiUdPf/yb9ovwbVKG61MqsEQIZzMKenuP93F4HaW63Nt1MHGPF7++Cb4xAjo2anp7j/fNsBfV4x4vfn0TXoKP0c6xUdOMX2sz5EMB1H+8+te3DhO+fZVivhQKLK1+ZtMDfhhAio8xPHwWRkAHFTEK+loYVRxLdnAVbJG/6UUdAC/ywDcSRkOjp6wTXvaAjzGcjoAOL9G40KCOHVx1anNJezybB1TgH/mQMNrZPtvJ+NQ/Zf2ra2b736Wd3NpLw61rVQD19ORUn30RGxAz/35/ead+xzMgKT8LYgte3BdGio2axnoLXqwTn5jXCY8Q4VWHgKT8to8iKRBb8OK+MBLeemVHTWO9BS/WiU/M68T41D9l/dN1MTZP+MZU4bpcFVgKhLMBMHq7eBQJPVnprQqI8fnAp6/qnisOuB2QpR9Rwohp2N8OcEaPWpKAt6lXjd4uHgWSDy8IhDHF5wMBWXmO1w7I0o8oCYiRBz0aSQLepl4141P/lPVP6mlsSvjGVOG63BVYAoSzAbAczBiIBaQWvGIjA680iMWmC7ziQ6YxEApILXjF5v33zj8+IzZd4BUfMmX88yAWLal/0Cbyspcx65/UQ5kSvqIEp0tUIHcIZwdgOcgWxHhJh71vK3llqkH86Hn7fWSxaZpaEOIlCTjRtSV9Ivw59H7Rm4YfT2L8XRBT/3nrH+os4etpubTJTYGcIezEw3wSC4iHRASIu2Dd15+AsG9+5AOIu2Dd1x/j1yDuqxf1H6f+Eb5Dahzz5q5ArhDO5jGk3A8g948KlKIA4VvKkS6rnDnWawK4rDrI0lKBVgVyPEm17jA3UoEBCuRWvwngAQePWanAmhXI7eS0Zq1ZtnQK5FTPCeB09YCRqUA2CuR0UspGFO7IahXIpb6/s9ls/kyp8ldXD1OGr6rE4dMWntFTK/D98ZXUu1B9cfdu8n3gDlCBFAr849tvk9b/7EdBpzgojEkF5lTg6OhoznA7sQ43m+rwMN1/oaEDwPjUf6dOzrXwDIGupP0HmJeg5zrajEMFMlMgl8twmcnC3SlAgS18MygnAZzBQeAuUIG5FSB851ac8XJRIBf4Qg8COJdawf2gAjMpQPjOJDTDZKdATvCFOARwdlWEO0QFplOA8J1OW3rOW4Hc4Au1COC86wz3jgqMpgDhO5qUdLQwBXKELyQkgBdWkbi7VMCjAOHrUY02a1AgV/hC22wA/PLf4Zu/L4cdbuT32CCWTce/h2/+/seubV9Gfo8NYtnE+D4t16K/rQ9jLhO+Y6pJX0tSIGf4QsdsngP+/ElV4Ru+Td/81Qddf/cX64fa3PtbVX3zmfZYVS8ClPHd2aZvzurcOOkj/9vjeu1Qm48uVtWNy9oj45eu/25tGG+J8B1PS3palgK5wxdqZgPg+7er6uWvVfXsVVV9+nUcqha8V/9aV4ghNoA1YtmEb/ce/1FD9flPcRBb8F54t/YCEPe1AawRyybGL1t/Wx/GWCZ8x1CRPpaowBLgC12zATC+3/t0U19SfvBkF8QPAjAPntbrsNMALyCK9UjY9vBku8Db2nT1kvH93pvhpSgasgJVwPH127MeL8D7cVj3yaU6/uvfqurHk+1NNl29ZMYvW/+6Jo33l/AdT0t6WpYCS4EvVM0GwHKIYyD+7FG91YJXbABbAa6AWGy6wCs+ZBoD4Xe/1FsteMUGIMZPg1hsusArPmTK+OdBLFqWoL/Ug32mhO8+6tF2yQosCb7QOTsAy8HXIAZUb4UesvR4JY+dahA/e1n3kuHHkzQI0fvdXjoOkG1LGsS4LI2eM/x4EuOfgbhE/T11BjaEr1c52i1dgaXBF3pnC2CpDADoUIhuQX1yeVr8eKcA4Y2BEJVL096Y2o7xy9Zf14WuecK3SyFuX6sCS4QvjkU2jyE9eFxV1w7q+7l9KgkGZN0+rH99H0XCvWLEQCybXrypqn++ri8j222xZdwrfn5U/zDfJ+ESNWIglk2MX7b+tj4MXSZ8hyrG/GtRYKnwhf5Z9YBfhVHQeBzpYQClHmSlK4odCY1tMvDq4E68tyyDtOC/LWEU9A/h8SIMqNKDrLSNHqQl62Xg1fUP4pec5d4w/Lclxi9b/7a60baN8G1Th9vWrMCS4Yvjkg2AD/5eVfduht5pADAeK7IgtuCVwVUohNhYEFvwik3skvb1D6vq8sWz53stiC14ZXAV4sszwRbEFrxig8vKNjF+2frb+tB3mfDtqxTzrU2BpcMXxyMbAGNnAEb7KBJAjJ+kGEStDUCsU8xGb5d5gNE+igQQ4ycpBlFrAxDrFLPR22We8cvWX+pB3ynh21cp5lubAmuAL45JVgCWShIDcRdEPTYSz05jIOyCqMfGxpVljy+PjcSzU48vj42NK8seXx4biWenHl8eGxt3yDLhO0Qt5l2TAmuBL45JlgCWyiJQleU+U49Nk185qTZtj6332MT8YJ3Hl8eG8eMKeLT02MSjN68lfJu14ZZ1K7Am+OJIZTMKenuP93F4HaW63NtVlXCPF7++Cb4xAjo2anp7j/dNeB3i73291SOmcZ+3b4JvjHaOjZpm/FqbUvXvW4cI375KMd/aFFgbfHF8sukBPwwgxccYHgaV74ezDEZBXwujimPJDq6CLfI3vagD4EUe+EbCaGj0lHXCyx7wMYbTEdDhJRoXGtSxg6tObS5pj2fzgAr8Ix8SRjvbZ4sZv2z965rR/jc0CyYqUKQCJ6fu1ZW9ATHzl/PLO/U7ngFJ+VkQW/DivjBSbNQ01lvwYp34xLxOeIQIrzoEJOW3fRRJgdiCF/eFkfDWKztqGusteLFOfGJeJ8YvW39dF2LzhG9MFa4rQYG1whfHLhsAo7eLR5HQk5XeqoAYnw98+qruuWKn7YAs/YgSRkzD/naAM3rUkgS8Tb1q9HbxKJB8eEEgjCk+HwjIynO8dkCWfkRJQIw86FFLEvA29aoZv2z9pZ7EpoRvTBWuK0GBNcMXxy8bAEtlioFYQGrBKzYy8EqDWGy6wCs+ZBoDoYDUglds3n/v/OMzYtMFXvEhU8Y/D2LRsgT9pR7IlPAVJTgtTYG1wxfHMzsASyWzIMZLOux9W8krUw3iR8/b7yOLTdPUghAv6QBo25IG8c+h94veNPx4EuPvgrg0/VFnCF9Py6HNGhQoAb44Tk48zHeIBcRDIgLEXbDu609A2Dc/8gHEXbDu64/xaxD31Wst+hO+Q444865JgVLgi2OWzWNIa6pALAsV2EcBwncf9Wi7ZAVKgi+OEwG85NrKfV+dAoTv6g4pC9RTgdLgC1kI4J6Vg9mowNQKEL5TK0z/uSpQInxxLAjgXGsk96soBQjfog43C6sUKBW+kOCdzWbzp9Ji9tmvrh7OHnMnYOLwO/vChdkV+P74yuwxbcAv7t61q7hMBYpQ4KvHaU/AaP8p21/2o6CLqIUsZFIFjo6OksU/3Gyqw8N0J6HwDzjjU/8k9X/b872aJHQ2QXkJOptDwR0pTQFedi7tiLO8okDJl51FA0wJYK0G56nATAoQvjMJzTDZKUD4nh0SAvhMC85RgVkUIHxnkZlBMlSA8N09KATwrh5cogKTKkD4TiovnWesAOF7/uAQwOc14RoqMIkChO8kstLpAhQgfOMHiQCO68K1VGBUBQjfUeWkswUpQPg2H6xsAPzy3+Gbvy+bdzS2Bfk9Nohl0/Hv4Zu//7Fr25eR32ODWDYxvk/LsfS3x2PMZcJ3TDXpa0kK9IVv6vNfKk2zeQ748ydVhW/4Nn3zVwukv/uL9UNt7v2tqr75THusqhcByvjubNM3Z3VunPSR/+1xvXaozUcXq+rGZe2R8VPrv3s0xlsifMfTkp6WpUBf+KJUa23/XUcsGwDfv11VL3+tqmevqurTr+NQteC9+te6eENsAGvEsgnf7j3+o4bq85/iILbgvfBu7QUg7msDWCOWTYyfVn97PMZYJnzHUJE+lqjAEPiifKnPf6k0zgbA+H7v0019SfnBk10QPwjAPHhar4NQAC8givVI2PbwZLvA29p09ZLx/d6b4a2EGrICVVSO12/PerwA78dh3SeX6vivf6uqH0+2N9l09ZIZP63+9ZEc7y/hO56W9LQsBYbCF6VLff5LpXA2ABYBYiD+7FG91YJXbABbAa6AWGy6wCs+ZBqrCN/9Um+14BUbgBg/DWKx6QKv+JAp458HsWg5h/5yHPaZEr77qEfbJSvgga8ub+rzn96XOeazA7AUWoMYUL0VesjS45U8dqpB/Oxl3UuGH0/SFQG93+2l4wDZtqRBjMvS6DnDjycx/hmIU+jvOWawIXy9ytFu6QrsC19d/tTnP70vU85nC2ApNAA6FKJbUJ9cnhY/3ikqwo2BEJVL096Y2o7x0+qvj0XXPOHbpRC3r1WBMeGrNUp9/tP7MsV8No8hPXhcVdcO6vu5fQqKAVm3D+tf30eRcK8YMRDLphdvquqfr+vLyHZbbBn3ip8f1T/M90m4RI0YiGUT46fV3x6PocuE71DFmH8tCowB39Tnv1THIqse8KswChqPIz0MoNSDrLQ4diQ0tsnAq4M78d6yDNKC/7aEUdA/hMeLMKBKD7LSNnqQlqyXgVfXP4hfcpZ7w/Dflhg/rf5tx6ZtG+Hbpg63rVmBMeAr+qQ+/8l+zDnNBsAHf6+qezdD7zQAGI8VWRBb8MrgKoglNhbEFrxiE7ukff3Dqrp88ez5XgtiC14ZXIX48kywBbEFr9jgsopNjJ9Wf3s8+i4Tvn2VYr61KTAmfFOf/1Idm2wADAEARvsoEkCMn6QYRK0NQKxTzEZvl3mA0T6KBBDjJykGUWsDEOsUs9HbZZ7x0+ovx6HvlPDtqxTzrU2BMeEr2qQ+/8l+zDnNCsBS8BiIuyDqsZF4dhqrCF0Q9djYuLLs8eWxkXh26vHlsbFxZdnjy2Mj8TxTwtejGm3WoMAU8NW6eNqyx0bHTDWfJYBFDIGqLPeZemya/MpBbdoeW++xifnBOo8vjw3jNykQX0/4xnXh2vUrMDV8tYKec5nHRsecez6bUdDbe7yPw+so1eXeLjFwjxe/vgm+MQI6Nmp6e4/3TXgd4u99vdUjpnGft2+Cb4z2i42aZvxam1T69z2GhG9fpZhvbQpMCd/U579UxyqbHvDDAFJ8jOFhOMr3w1kOo6CvhVHFsWQHV8EW+Zte1AHwIg98I2E0NHrKOuFlD/gYw+kI6PASjQsN6tjBVac2l7THs3lABf6RDwmj/eyzxYyfVv/6yLT/DdWSiQoUqcDJqXOysqc+/01WsA7HDYjpsJpg85d36nc8A5LysyC24MV9YaTYqGmst+DFOvGJeZ3wCBFedQhIym/7KJICsQUv7gsj4a1XdtQ01lvwYp34xLxOjJ9Wf30sYvOEb0wVritBganhCw1Tn/9SHcdsAIzeLh5FQk9WeqsCYnw+8OmruucKoeyALP2IEkZMw/52gDN61JIEvE29avR2MRRePrwgEMYUnw8EZOU5Xjsga3v5JPSyNYiRBz1qSQLepl4146fVX45TbEr4xlThuhIUmAO+0DH1+S/VscwGwCJADMQCUgtesZGBVxrEYtMFXvEh01hFEJBa8IrN+++df3xGbLrAKz5kyvjnQSxazqG/HAeZEr6iBKelKTAXfLWuqc9/el/mmM8OwFJoC2K8pMPet5W8MtUgfvS8/T6y2DRNbUXASzoA2rakQfxz6P2iNw0/nsT4uyCeW38cM8LXU3NpswYFUsBX65b6/Kf3Zcp5Jx6m3KVd3wLi3bXtSwBxF6zbPZxtlYpwtqZ7DiDugnW3lzoH49cg7qsX8o2hP+E7RHHmXZMCqeGrtUx9/tP7MsV8No8hTVE4+qQCHgUIX49qtFmDAjnBdw16dpWBAO5SiNuLUoDwLepws7BKAcJXiTHTLAE8k9AMk78ChG/+x4h7OI0ChO80unZ5JYC7FOL2IhQgfIs4zCxkRAHCNyLKTKve2Ww2f84UKxrmq6uH0fWzrUwcfrZyZhro++Mryffsi7t3k+8Dd4AKpFDgq8dlnwBx/knZ/rMfBZ2iUjLmvAocHR3NG1BFO9xsqsPDdCeh8A8w41N/VSPnm932fK/OF4+RzivAS9DnNeGaQhTgZedCDjSLeU4BXnY+J0mSFQRwEtkZNLUChG/qI8D4qRQgfFMpfz4uAXxeE65ZuQKE78oPMIvXqADh2yhNkg0EcBLZGTSVAoRvKuUZN7UChG/qI3A+PgF8XhOuWakChO9KDyyL1akA4dspUZIMBHAS2Rl0bgUI37kVZ7xcFCB8czkS5/cjGwC/DN/TxecEhyTk99gglk3Hv4fv+f7Hrm1fRn6PDWLZVHp8q8eYy4TvmGrS15IU6Atfnn/SHNVsngP+/ElV4Ru+Td/81fLo7/5i/VCbe3+rqm8+0x6r6kWAMr472/TNWZ0b0EX+t8f12qE2H12sqhuXtUfG31VjvCXCdzwt6WlZCvSFL0pV+vkv1ZHNBsD3b1fVy1+r6tmrqvr06zhULXiv/rWWbYgNYI1YNuHbvcd/1FB9/lMcxBa8F96tvQDEfW0Aa8SyqfT4Vo8xlgnfMVSkjyUqMAS+KB/PP2mOcjYAxvd7n27qS8oPnuyC+EEA5sHTeh1kAngBUaxHwraHJ9sF3tamq5eMb8jeDG9F1JAVqKJyvn571uMFeD8O6z65VMd//VtV/Xiyvcmmq5dcevxayfH+Er7jaUlPy1JgKHxROp5/0hzjbAAsxY+B+LNH9VYLXrEBbAW4AmKx6QKv+JBprCJ+90u91YJXbABi/DSIxaYLvOJDpqXHFx32mRK++6hH2yUr4IGvLi/PP1qN6eezA7AUWYMYUL0VesjS45U8dqpB/Oxl3UuGH0/SFRG93+2l4wDZtqRBjMvS6DnDjyeVHt+jGWwIX69ytFu6AvvCV5ef5x+txnTz2QJYigyADoXoFtQnl6fFj3eKinhjIETl0rQ3prYrPb7Womue8O1SiNvXqsCY8NUa8fyj1Rh/PpvHkB48rqprB/X93D7FxICs24f1r++jSLhXjBiIZdOLN1X1z9f1ZWS7LbaMe8XPj+of5vskXKJGDMSyqfT4Vo+hy4TvUMWYfy0KjAFfnn/S1IasesCvwihoPI70MIBSD7LS0tiR0NgmA68O7sR7yzJIC/7bEkZB/xAeL8KAKj3IStvoQVqyXgZeXf8gfslZ7g3Df1sqPX6bNm3bCN82dbhtzQqMAV/Rh+cfUWK+aTYAPvh7Vd27GXqnAcB4rMiC2IJXBldBKrGxILbgFZvYJe3rH1bV5Ytnz/daEFvwyuAqxJdngi2ILXjFBpd1bCo9vtWj7zLh21cp5lubAmPCl+efNLUjGwCj+ACjfRQJIMZPUgyi1gYg1ilmo7fLPMBoH0UCiPGTFIOotQGIdYrZ6O0yX3p80aHvlPDtqxTzrU2BMeEr2vD8I0rMN80KwFLsGIi7IOqxkXh2GquIXRD12Ni4suzx5bGReHbq8eWxsXGHLBO+Q9Ri3jUpMAV8tT6etuyx0TH1vMeXx0bHTDWfJYBFDIGqLPeZemya/MpBbdoeW++xifnBOo8vj02u8Zv2i/BtUobr167A1PDV+nnOJR4bHVPPe3x5bHTMueezGQW9vcf7OLyOUl3u7RID93jx65vgGyOgY6Omt/d434TXUf7e11s9Yhr3efsm+MZow9io6dLj99WQ8O2rFPOtTYEp4cvzT5rakk0P+GEAKT7G8DDUsvvhLItR0NfCqOJYsoOrYIv8TS/qAHiRB76RMBoaPWWd8LINfIzhdAR0eInGhQZ17OCqU5tL2uPZPMAL/8iHhNGG9tni0uPXyrT/DdWCiQoUqcDJqWuysvP8M5m0rY4bENNqM8nGL+/U73gGJOVnQWzBi/vCSLFR01hvwYt14hPzOuERIrxqEpCU3/ZRJAViC17cF0bCW6/sqGmst+DFOvGJeZ1Kj6+1iM0TvjFVuK4EBaaGLzTk+SdNTcoGwOjt4lEk9GSltyogxucDn76qe66QyQ7I0o8oYcQ07G8HOKNHLUnA29SrRm8XQ/HlwwsCYUzx+UBAVp7jtQOytpdvQi9bgxh50KOWJOBt6lWXHl90ik0J35gqXFeCAnPAFzry/JOmNmUDYCl+DMQCUgtesZGBVxrEYtMFXvEh01hFFJBa8IrN+++df3xJbLrAKz5kWnp80UGmhK8owWlpCswFX60rzz9ajennswOwFNmCGC/psPdtJa9MNYgfPW+/jyw2TVNbEfGSDoC2LWkQ/xx6v+hNw48nlR4fmhG+nppDmzUokAK+Wjeef7Qa08078TDdDlnPAmK7vm0ZIO6CdZu93iYVUa/rmgeIu2Dd5UO2lxqf8JUawGlpCqSGr9a71POP1mDK+WweQ5qykPS9LAUI32UdL+7teArkBN/xSkVPTQoQwE3KcH0SBQjfJLIzaAYKEL4ZHISZd4EAnllwhmtWgPBt1oZb1q0A4bvu49tUOgK4SRmun1UBwndWuRksIwUI34wOxsy78s5ms/lz5pg74b66erizPPtC4vCzl9cE/P74ilkz/+IXd+/OH5QRqUAGCnz1uPATUOJjgPNfyvNP9qOgEx+fIsIfHR0lK+fhZlMdHqY7CYV/QBmf+iep/9ue79UkoRk0EwV4CTqTA1HibvCyc4lHnWWGArzszHoABQhg1oMkChC+SWRn0AwUIHwzOAiZ7AIBnMmBKGk3CN+SjjbLqhUgfLUanCeAWQdmVYDwnVVuBstIAcI3o4ORya4QwJkciBJ2g/At4SizjDEFCN+YKlxHALMOzKIA4TuLzAySoQKEb4YHJZNdygbAL8P3dPE5wSEJ+T02iGXT8e/he77/sWvbl5HfY4NYNqWOb/dnzGXCd0w16WtJCvSFb+r2X3r8VHUqm+eAP39SVfiGb9M3f7VA+ru/WD/U5t7fquqbz7THqnoRoIxv+DZ981fnBnSR/+1xvXaozUcXq+rGZe0xffzdvRlvifAdT0t6WpYCfeGLUpV+/kld/lQ1KxsA379dVS9/Dc/HvaqqT7+OQ9WC9+pfa9mG2ADWiGUTvt17/EcN1ec/xUFswXvh3doLQNzXBrBGLJtSx7f7M8Yy4TuGivSxRAWGwBflS93+S4+fqo5lA2B8v/fppr6k/ODJLogfBGAePK3XQSiAFxDFeiRse3iyXeBtbbp6yfh+783wVkYNWYEqKufrt2c9XoD347Duk0t1/Ne/VdWPJ9ubbLp6yanj1yUZ7y/hO56W9LQsBYbCF6VL3f5Lj5+qhmUDYBEgBuLPHtVbLXjFBrAV4D48AbHYdIFXfMg0VhG/+6XeasErNgAxfhrEYtMFXvEh09TxZT/2mRK++6hH2yUr4IGvLm/q9l96fH0s5pjPDsBSaA3ihwGqt0IPWXq8ksdONYifvax7yfDjSboiove7vXQcINuWNIhxWRo9Z/jxpNTxPfsMG8LXqxztlq7AvvDV5U/d/kuPr4/FlPPZAlgKDYAOhegW1CeXp8WPd4qKeGMgROXStDemtksdX+9L1zzh26UQt69VgTHhqzVK3f5Lj6+PxRTz2TyG9OBxVV07qO/n9ikoBmTdPqx/fR9Fwr1ixEAsm168qap/vq4vI9ttsWXcK35+VP8w3yfhEjViIJZNqePb/Rm6TPgOVYz516LAGPBN3f5Lj5+qLmbVA34VRkHjcaSHAZR6kJUWx46ExjYZeHVwJ95blkFa8N+WMAr6h/B4EQZU6UFW2kYP0pL1MvDq+gfxS85ybxj+21Lq+G371raN8G1Th9vWrMAY8BV9Urf/0uPLcZhzmg2AD/5eVfduht5pADAeK7IgtuCVwVUQS2wsiC14xSZ2Sfv6h1V1+eLZ870WxBa8MrgK8eWZYAtiC16xwWUdm1LHt/vTd5nw7asU861NgTHhm7r9lx4/Vd3MBsAQAGC0jyIBxPhJikHU2gDEOsVs9HaZBxjto0gAMX6SYhC1NgCxTjEbvV3mU8eX/eg7JXz7KsV8a1NgTPiKNqnbf+nx5TjMOc0KwFLwGIi7IOqxkXh2GquIXRD12Ni4suzx5bGReJ4p4etRjTZrUGAK+GpdPG3ZY6Nj6nmPL4+NjqnnPb48NjpmqvksASxiCFRluc/UY9PkVw5q0/bYeo9NzA/WeXx5bJriN60nfJuU4fq1KzA1fLV+nrbssdEx9bzHl8dGx9TzHl8eGx1z7vlsRkFv7/E+Dq+jVJd7u8TAPV78+ib4xgjo2Kjp7T3eN+F1lL/39VaPmMZ93r4JvjHaMDZqOnX8vmUgfPsqxXxrU2BK+KZu/6XHT1VXs+kBPwwgxccYHoZafj+c5TEK+loYVRxLdnAVbJG/6UUdAC/ywDcSRkOjp6wTXraBjzGcjoAOL9G40KCOHVx1anNJezybB3jhH/mQMNrQPlucOn69Z+1/w2FhogJFKnBy6pis7Knbf+nxJzuwHY4bENNhNcHmL+/U73gGJOVnQWzBi/vCSLFR01hvwYt14hPzOuERIrxqEpCU3/ZRJAViC17cF0bCW6/sqGmst+DFOvGJeZ1Sx9f7EpsnfGOqcF0JCkwNX2iYuv2XHj9VPc4GwOjt4lEk9GSltyogxucDn76qe64Qyg7I0o8oYcQ07G8HOKNHLUnA29SrRm8XQ/HlwwsCYUzx+UBAFj1XJDsga3v5JvSyNYiRBz1qSQLepl516viyn7Ep4RtThetKUGAO+ELH1O2/9Pip6nI2ABYBYiAWkFrwio0MvNIgFpsu8IoPmcYqooDUglds3n/v/ONLYtMFXvEh09TxZT9kSviKEpyWpsBc8NW6pm7/pcfXx2KO+ewALIW2IMZLOux9W8krUw3iR8/b7yOLTdPUVkS8pAOgbUsaxD+H3i960/DjSanjY58JX8+Ro80aFEgBX61b6vZfenx9LKacd+Jhyl3a9S0g3l3bvgQQd8G63cPZVqmIZ2u65wDiLlh3e6lzpIpP+PY9Qsy3NgVSw1frmar9yz6UHl90mGqazWNIUxWQfocrQPgO14wW61AgJ/iuQ1GWok0BArhNnQK3Eb4FHnQWeasA4cuKMLcCBPDcimccj/DN+OBw1yZVgPCdVF46b1CAAG4QprTVhG9pR5zlFQUIX1GC07kVeGez2fw5d1Ad76urh3px/vnE4b8/vjJ/mU3EL+7eNWu4SAXKUOCrx4lPAGXInG0pcf5Nef7LfhR0tkduxB07Ojoa0dswV4ebTXV4mO4kFP4BZHzqP6zSjpR72/O9OpIzuqECDgV4Cdoh2lpMeNl5LUeS5RiqAC87D1WM+adQgACeQtUF+CR8F3CQuIuTKED4TiIrnToUIIAdoi3dhPBd+hHk/nsVIHy9ytFuCgUI4ClUzdgn4ZvxweGuTaoA4TupvHTuUIAAdoi2VJMlwPebIO4S9nOpdaDU/SZ8Sz3yeZebAM77+Iy2d0uB2r1Q4qfh9/+F3/3RSk9HJStA+JZ89PMuezYAfhm+p4vPCQ5JyO+xQSybjn8P3/P9j13bvoz8HhvEmjMtBb5ak9th4SD88JD6l+G3xDKE3WZKrEBf+KZu/4zvO5cu4fzb1gSyeQ748ydVhW/4Nn3zVxdCf/cX64fa3PtbVX3zmfZYVS8ClPEN36Zv/urcOOjI//a4XjvU5qOLVXXjsvY43fwawPUgyIMfesYPw+9R+DFRgS4F+sIXflK3f8Zf5/m3q45mA+D7ocvz8teqevaqqj79Og5VC96rf62LN8QGsEYsm/Dt3uM/aqg+/ykOYgveC+/WXgDivjaANWLNkdYAX60TDht+uFACCAPGobowUYFzCgyBL4xTt3/GX9/591yljKzIBsD4fu/TTX1J+cGTXRA/CGfdg9D9AWiRAF5AFOuRsO3hyXaBt7Xp6iXj+703r9SXQaR3K1BF43j99qzHC/B+HNZ9cqmO//q3qvrxZHuTTZ9ecu1tnL9rg69WJVSVbY8YvWKAGJeqh55wgwnTShXw1IXU7Z/x13X+7du0/tI341z5YiD+7OSaowWv7BNgK8AVEItNF3jFh0xjDeG7X+qtFrxiAxDjp0EsNnODF/u0ZviK5jLFoC380CuWy9Mn/6dJFk4LUsADXy1P6vbP+OdBLOfSpZx/dX3qms8OwLLDGsSA6q3Q7ZEer+SxUw3iZ+GMjF4y/HiSbgjo/W4vHQfItiUNYlyWRs8ZfuZMJcFX64rDjJ6w/PA/274nY+2f8/krMObxTt3+Gf8MxEs6/w5tJdkCWAoCgA6F6BbUJ5enxY93ioZwYyBE5dK0N6bXrlT4Wr30oC25V2zzcHldCowJX61M6vbP+Ms5/+p603f+v/XNOHW+B4+r6lrovuB+bp+EAVm3D+tf30eR4BsxEMumF2+q6p+v68vIdltsGQOynh/Vv75D4XGJGjEQa+xE+J5XFP+DoUf8Q/h9GX5Xw49pfQqMAd/U7Z/xl33+9baqrHrAr36tqs+f1AOq9CArXTg7EhrbZODVwZ14b1kGacF/W8Io6B/C40UYUKUHWWkbOxIa22Tg1fUP4pec5d4w/E+RCN8pVKXPJSgwBnylnKnbP+Mv8/wr9cczzQbAB38Pg2luht5pADBGO1sQW/DK4CoUWmwsiC14xSZ2Sfv6h1V1+eLZ870WxBa8MrgK8e2oaQGxBa/Y4LLSWInwbVbyadjES9DN+ix9y5jwTd3+GX+Z599921A2AEZBAEb7KBJAjJ+kGEStDUCsU8xGb5d5gNE+igQQ4ycpBlFrgx6xTjEbvd07T/jGlcNlZ4B3zBN0PBLXplJgimObuv0z/rLOv2PU/awALAWKgbgLoh4biWensYbQBVGPjY07ZJnw3VWLjyHt6rHmpSngq/XytGWPjY6p5z2+PDY6pp73+PLY6Jh63uPLY6NjpprPEsAihkBVlvtMPTZNfuWgNm2PrffYxPy0rSN8z9RBTxc93qlPymcROZdSgTmPs6cte2ya9PT48tgwfpMC06/PZhT09h7v4/BCBXW5t6v4uMeLX98E3xgBHRs1vb3H+ya8Du33vt7qEdO4z9s3wTdGO/YdNR3zeyu2srB16O0CuuGORYVXes95Ug7hmBIpMOVxTt3+Gb8+N+Z+/h276mfTA34YQIqPMTwMrex+oAxGQV8Lo4pjyQ6ugi3yN72oA+BFHvhGwmho9JR1wsPe+BjD6Qjo96vqQoM6dnDVqc0l7fFsHpUK/pEPCaMdhz5bDLsgS9EpHMLTt10VLUSBhT9pupOVPHX7Z/z8z79TVL4GxEwRqt3nl3fqdzwDkvKzILbgxX1hpNioaay34MU68Yl5nTByGa86AyTlt30USYHYghf3hZHw1is7ahrrLXixTnxifkgqGb4cVDWkpqwv79TwhWKp2z/j533+napVZQNg9HbxKBJ6stJbFRDj84FPX9U9VwhhB2TpR5QwYhr2twOc0aOWJOBt6lWjt4tHAeTDCwJhTPH5QEBWnuO1A7K2l49CL1uDGHnQo5Yk4G3qVUu+2LRE+KK3y0eIYrWhrHVzwBeKpm7/jJ/v+XfKFpcNgKWQMRALSC14xUYGXmkQi00XeMWHTGMNQUBqwSs27793fvi82OwDXvgvDb4cVCW1itO54KuVTt3+Gf88iOVcmuL8q+vGFPPZAVgKaUGMl3TY+7aSV6YaxI+et99HFpumqW0IeEkHQNuWNIh/Dr1f9Kbhx5tKgy90+swrFu1WpUAK+GoBU7d/xt8FcYrzr64PU83vgYepdmnXr4B4d237EkDcBet2D2dbpSGcremeA4i7YN3lpUT4dmnC7WUokBq+WuVU7V/2gfFrEIsefaZjnH/7xBkjTzaPIY1RmLX4IHzXciRZjqEK5ATfofvO/FRgqAIE8FDFJs5P+E4sMN1nqwDhm+2h4Y5NpAABPJGwHreEr0c12qxBAcJ3DUeRZRiqAAE8VLGJ8hO+EwlLt9krQPhmf4i4gxMp8M5ms/lzIt+93H71+LBXvqkyfX98ZSrXvf1+cfdu77zMSAXWpEDq9r8mLVmW4Qrg/J/y/Jv9KOjhkg63ODo6Gm40ksXhZlMdHqb7JyT8A8b41H+k2jzMzbbnG16Yw0QFSlWg7EvQm7SHnZed0+rP6OkU4GXndNozcj4KlAtgwjefWsg9KUoBwreow83CtihQJoAJ35YqwU1UYDoFCN/ptKXn5SlQHoAJ3+XVUu7xKhQgfFdxGFmIERUoC8CE74hVh66oQH8FCN/+WjFnOQqUA2DCt5xazZJmpQDhm9Xh4M5kpEA2AMbH6/Fd3SEJ+XvZKPjik4Uvw7d750y35gzGWFQgIwX6wnfS9q/0wPkCsWxi/J7nUiVc7/OvsclRf7WLs87+ZdZoLcFeBCjiu49N33zUpjjwyP/2uF7banMCX/2t4Ht/q6pvZvruHeGrjxznS1KgL3yhyWTt/0Rwfc746GJV3bi8eyQYf6Lz70L0360N8y1lA2B8O/f4jxqqz3+Kg1g3Ikh04d1aKIA4ahPgq8GL3LfCg//3b9d2U/8lfKdWmP5zVWAIfFGGSdp/8GvPGfhnHbFsYvwJzr8L0t/Wh7mWswGw/pi99G4Fqmgcr9+e9XgB3o/Duk8u1TK9/q2qfjzZLjb/+l9VdXBYVc9e1XkA3oM7430nuOsAEb5dCnH7WhUYCl/oMHb7t+eM1qtkjF+8/qnaYjYAFgFiDfG7X+qtFrxiAxDjJyD+v3Bp+lG9dW7wIirhW2vPv+Up4IGvVmmM9o8rYnLO6AKvjo15xq+qm+H1+PrKgWjZ9/y7ZP1tfZh6OTsAS4F1Q0Dvd3vp6KTHK3nsdAvi+1X15dPQ831ZX2q+fc3mmnaZ8J1WX3rPV4F94atL5m7/J/+IAwLoBcOPJzH+GYgHnX9Xor+nznhssgWwFAYN4UbfRrSprR7gHu9M93llPzElfLUanC9JgTHhq3Ub1P5PDOXWlPbjnWf8AeffFervrTd97bIB8Is39Sg8fW+3rRByiQR5rn8Q/tP9f9py19sOQs/4YfhhFPTB37vzD8lB+A5Ri3nXpMAY8N27/ff4J11uUWEU9PUPd48A4+95/l24/ru1Yb6lbACMImMU9A/h8SIMqGoCsYAXl5gkXQqjpm+FAVdNg6wEvK9+FYtxp4TvuHrS23IUGAO+Ulpv+5eBl9t/xCMgEPDCf1tifN/5dy36t9WNqbZlA2D8R3o5/GcqI6AtiC14ZXDF/wnfsr/1pB7t/OnXYV6Ndrbg1dvGEpTwHUtJ+lmaAmPC19v+oZmcMywILHjlnIHLyjYxvu/8Cx3XoL+tD3MtZwNgFBgNw47AA4jxk7TTiDb1rd6nYaqf9wWIdZoCvPBP+GqVOV+SAmPCV3Qb3P5PDO05AyDWaeecoTeYecYfeP490W8t+pvqMMtiVgCWEscawrlGFKCrE0Y7WxBPBV7EJXy1+pwvSYEp4Kv169X+tUGY99gYF6eLHl8em9OAZsbjy2Njwp4uenx5bE4DmhmPL4+NCZtkMUsAixIiqiyfTg18T9eHGQGxXjf2POE7tqL0txQFpoav1qGx/etMZt5jY1ycLnp8eWxOA5oZjy+PjQl7uujx5bE5DWhmPL48NibsrIvZfIxhe4/3TfxF6TuKKPjiHi9+fRM+wvDgcX25uq+NzUf4WkW4XIoCU8K3d/tXYuMeL359Ez4CgNHOiGUT49faxD6UYLWS5TXpL2Wae5pNDxgPe+NjDKcjoMND9Bfs3p3A1w6uehggjPc7b5//jSgI8CLPw5MzCEZDe17QQfhGxOWqIhSYEr4QsFf7P1HaDq46PWdcih8KQAX+kQ8Jo53tuwUYv8f5t5bv9I2DMqp8DfqfFG32iUXc7DsgAfEIAV51hoMpv+2jSALiTd3bBUjlcSLc40XC+54/DyOhLYgteJH3fqCo52MMhC/UYypRganhC00723/IY8GLcSFIeCTRPjWB9Ra8WCfnFMzrxPgd598g1pr113VhzvlsAIzeLh4FkJeoC4Qx/TK8OOPpwS549TO/egS0gPh2gPOjf51JKeC9FkA/NBG+QxVj/rUoMAd8oVVb+8eLMwBZ6XHZAZnby8fhKpcGMfLgipokAe+5q2onGRi/+fxbgv5ST+aeZgNgKbhtCP89ALg6AWnTqGYZeKVBLPDdB7zYJ8JXjgynpSkwF3y1rrb94x9wAakFr9i9/975x2fEpgu84kOmjH8exKJlCfpLPZhrmh2ApeDbhvD/1peWcGn53s3u+7YaxI+e15eaPT1e2QfCV5TgtDQFUsBXa2xBiJf0ALRtSYP459D7xdU0+PEkxt8FcWn6e+qMx8ZZPT2hBtps6vwA6ND3NgPEnkFWeg8JX60G50tSIDV8tdYCQr2uax4g7oJ1lw/Zzvg1iEWPPtM16d+nvPvkyeYxpJ1CnMB3Z92MC4TvjGIzVFYK5ATfrIThzlCBCRTID8CE7wSHmS6pQLcChG+3RsxBBcZUIC8AE75jHlv6ogK9FSB8e0vFjFRgNAXyATDhO9pBpSMqMEQBwneIWsxLBcZT4J3NZvPneO6Ge/rHt98ONxrZ4ou74ZuGTFSgQAW+enxYYKlZZCpQK/D98ZUq5fn/LzkciKOjo2S7cbjZVIeH6U5C4R8gxqf+Ser/tucbXljDRAWoQBoF8rkEnaD8txLEZEgqkIMCvOycw1HgPpSuQLEAJnxLr/rllp/wLffYs+R5KVAkgAnfvCoh92Y+BQjf+bRmJCrQpUBxACZ8u6oEt69VAcJ3rUeW5VqqAkUBmPBdajXlfu+rAOG7r4K0pwLjK1AMgAnf8SsPPS5DAcJ3GceJe1meAkUAmPAtr2KzxLUCfeGLj9fju7pDEvJ7bBDLJsb3aUn9bU1qX4ZesfrXbjXd1iyeA56uePye75Ta0nfeCvSFL0rxInzQHt99bfrmqy4pTmLI//a4XjvUBh94v3FZe2R86p+2/u3WxvmWVg1g9nznq0iMlJcCQ+CLPce3c4//qKH6/Kc4iC14L7xblxkg7msDWCOWTYxP/VPWP1sf51peLYAJ37mqEOPkpsBQ+GL/9cfspXcrUAUcX7896/ECvB+HdZ9cqkv++req+vFke5NNVy+Z8avq5pX6MjT13/1HcI76l6oNrxLAhG+q6sS4qRXwwFfvcwyE3/1S57DgFTuAGD8NYrHpAq/4kCnjnwexaEn9d//xkzozZv0Tn3NNVwdgwneuqsM4uSmwL3x1eTQI0fvdXjo+6fHqfHpenwhxWRo9F/jxJMY/AzH1n7/+eeqsx2ZVACZ8PVWANmtQYEz4aj0AwhsDIQoQj5UYn/qnrH9j1eMmP6sBMOHbdIi5fu0KjAHfF2/qUaj63m6bbjIgC3muf9CvpyuXqDEK+vqHu94Zn/pjFH6q+rdbG+dbWgWACd/5Kgwj5aXAGPCVEmEU6g/h8SIMqGo6EQp45REk2MrAqyYQC3jhvy0xPvVPWf/a6uZU2xYPYMJ3qqpBv7krMCZ80SO9HHqmMgLXnggteGVwFTQSGwtiC16xid0XZnzqn7L+pWrriwYw4Zuq2jBuagXGhK+URQ98EqgCxPhJikE09viM5Mc0ZqO3yzzjnw28ov71o0hz1j+ph3NOFwtgwnfOasJYOSkwBXx1+WIg7IKox0bH1PMeXx4bHVPPe3x5bHRMPe/x5bHRMfW8x5fHRsfU8x5fHhsdM9X8IgFM+KaqLoybWoGp4avLJyc1va5r3mPT5NPjy2PD+HEFPFp6bOLR64F9uLoyJI0Zf0hcb97FfYyB8PUeatotXYEp4bu9x/tm2IvqcY8Xv74JL8HHaGfEsonxa22GfCiA+o9X/2x9nGt5UT1gwneuasE4uSkwJXxRVrzsAY+BnI6ADi/RuNBwdrCDq05tGp7/BVTgH/mQMNrZPtvJ+NQ/Zf2ra+b8fxua2Pw70hWR8O1SiNvXqsDU8IVueIQIrzoEJOW3fRRJgdiCF/eFkfBIkh01jfUWvFgnPjGvE+NT/5T1T9fFOecXAWDCd84qwVg5KTAHfFFe9HbxKJC8+F4gjClenAHIynO8dkCWfkRJQIw86NFIEvA29aoZn/qnrH9ST+eeZg9gwnfuKsF4uSgwF3x1eWMgFJBa8IqdDHzRIBabLvCKD5ky/nkQi5bUv75Sg/qm05j1T/udYz5rABO+c1QBxshRgRTw1TpYEOIlCfbEp/NjXp8Ifw69X/Sm4ceTGH8XxNR/3vrnqbMeG2fz8IQaZkP4DtOLudejQGr4aiUFhHpd1zxA3AXrLh+ynfFrEIsefabUf7z610fvffJk+RgS4bvPIaXtkhXICb5L1pH7TgWWoEB2ACZ8l1BtuI9TKED4TqEqfVKBfBXICsCEb74VhXs2rQKE77T60jsVyFGBbABM+OZYPbhPcyhA+M6hMmNQgfwUeGez2fyZcrf+8e231Rd376bcBcamAskU+OrxYbLYDEwFSlfg++MrSfmTxSjozeFhlaoHHP4BqQ5D/FSJ8cvVf9vzvZqq5jEuFaACqRXI5hI0L8OlrgqMP6cCrO9zqs1YVCBPBbIBMOThSSnPSsK9GlcB1vNx9aQ3KrBUBbICMETkyWmpVYn73UcB1u8+KjEPFShDgewADNl5kiqj8pVWStbr0o44y0sF2hXIEsDYZZ6s2g8cty5LAdbnZR0v7i0VmEOBbAGMwvOkNUcVYIypFWA9nlph+qcCy1QgawBDUp68llmxuNe1An3rLz5ej8/5DUnI77FBLJsY36cl9bc1qX0ZeuVY/9r3erqtWTwH3FU8nMRudWXidiqQmQJ94YvdfvHv+gP2Td981UXDSQz53x7Xa4fafHSxqm5c1h4Zn/qXXf92W8N8S4sAMOQghOerFIy0vwJD4Ito+Hbu8R81VJ//FD6nduH8x8cteC+8W+8nQNzXBn4RyybGp/4l1z/bHuZaXgyAIQghPFe1YJx9FBgKX8TSH7OX3q1AFXB8/fasxwvwfhzWfXKp3svXv1XVjyfbm2xiQNdlZPyqunmlvgxN/Xf/ESyh/um2MOf8ogAMYQjhOasHYw1VwANfHSMGwu9+qXNY8IodQIyfBrHYdIFXfMiU8c+DWLSk/rv/+EmdWVP9kzLNNV0cgCEMITxX9WCcIQrsC18dS4MQvd/tpeOTHq/Op+f1iRCXpdFzgR9PYvwzEFP/8uqfp814bBYJYBSUEPYcbtpMpcCY8NX7CBDeGAhRgHisxPjUv+T6N1Y7avKzWACjQIRw02Hl+jkVGAO+L97Uo1D1vd22MsiALOS5/kG/nq5cosYo6Osf7npnfOr/y3/FLzHv1pR6aW31L1bGOdYtGsAQiBCeo5owRpMCY8BXfGMU6g/h8SIMqGoCsZz45BEk2MrAqyYQC3jhvy0xPvUvuf61tY2pti0ewLemUoZ+qUCHAmPCFz3Sy6FnKiNw7YnQglcGV2EXxcaC2IJXbGL3hRmf+pdc/zqa+mSbFw1gwneyekHHHQqMCV8JpQc+CVQBYvwkxSAae3xG8mMas9HbZZ7xzwZeUf/6UaSS6p+0gzmniwUw4TtnNWEsrcAU8NX+YyDsgqjHRsfU8x5fHhsdU897fHlsdEw97/HlsdEx9bzHl8dGx9TzHl8eGx1Tz3t8eWx0zFTziwQw4ZuqujDu1PDVCstJRa/rmvfYNPn0+PLYMH5cAY+WHpt49HpgH66uDElrij+k3N682X+MwRaM8LWKcHkuBaaE7/Ye75v4i+qbyod7vPj1TXgJPkY7I5ZNjF9rE/tQgNVKlqn/euqfHNO5p4vqARO+c1cPxhMFpoQvYuBlD3gM5HQEdHiJxoWG1mkHV53aNDz/C6jAP/IhYbSzfbaT8al/yfWvbhnz/21o4vPvSFdEwrdLIW6fSoGp4Yv9xiNEeNUhICm/7aNICsQWvLgvjIRHkuyoaay34MU68Yl5nRif+pdc/3RbmHN+EQAmfOesEoylFZgDvoiH3i4eBZIX3wuEMcWLMwBZeY7XDsjSjygJiJEHPRpJAt6mXjXjU/+S65+0k7mn2QOY8J27SjCeKDAXfCUepjEQCkgteMVOBr5oEItNF3jFh0wZ/zyIRUvqX1+pQX3TaU31T5drjvmsAUz4zlEFGCOmQAr46v2wIMRLEuyJT+fHvD4R/hx6v+hNw48nMf4uiKl/WfXP02Y8Ns7m6Qk1zIbwHaYXc4+nQGr46pIICPW6rnmAuAvWXT5kO+PXIBY9+kyp/3rqX5/jvU+eLB9DInz3OaS03UeBnOC7TzloSwWoQP4KZAdgwjf/SrPWPSR813pkWS4qkKcCWQGY8M2zkpSwV4RvCUeZZaQCeSmQDYAJ37wqRkl7Q/iWdLRZViqQjwLvbDabP1Puzj++/bb64u7dlLvA2AUr8NXjw4JLz6JTgbIV+P74SlL+ZDEKenN4WKXqAYd/QKrDED9VYvx0+m97vldTHXnGpQJUoHQFsrkEzcuApVfFecvP+jav3oxGBajAeQWyATB2jSfF8weIa8ZXgPVsfE3pkQpQgeEKZAVg7D5PjsMPIi36K8D61V8r5qQCVGBaBbIDMIrLk+S0B71U76xXpR55lpsK5KlAlgCGVDxZ5llhlrpXrE9LPXLcbyqwXgWyBTAk50lzvRVvzpKxHs2pNmNRASrQV4GsAYxC8OTZ91AyX0yBvvUHH6/H5/yGJOT32CCWTYzv05L625rUvgy9WP/aNZpzaxbPAXcVGCfRW12ZuJ0KGAX6whdmL/5df8C+6Zuv2jVOYsj/9rheO9Tmo4tVdeOy9sj41J/1D99dHtqW0IqG2sTa325rnG9pEQCGHITwfJViDZGGwBflxbdzj/+oofr8p3ijtuC98G6tFEDc1wYnC8SyifGpP+tfuvZn2+Ncy4sBMAQhhOeqFsuOMxS+KK3+mL30bgWqgOPrt2c9XoD347Duk0u1Tq9/q6ofT7Y32XT9l874VXXzStBYXV1o0pL6s/6N3f5SnfEWBWCIRAinqirLiOuBry5ZDITf/VLnsCd+sQOI8dMgFpsu8IoPmTL+eRCLltR/F7xSZ1j/xmt/oulc08UBGMIQwnNVj2XF2Re+urQahOj9bi8dn/R4dT49r0+EuCyNnjP8eBLjn4GY+rP+zd3+PG3WY7NIAKOghLDncK/XZkz4apUAwhsDIQoQj5UYn/qz/g1rTWO2v2GRh+deLIBRVEJ4+AFfo8UY8H3xph6Fqu8ttWkl9yqR5/oH/Xq6cokaozCvf7jrnfGpP0YBs/6dja3YbSG7S2O3v13v8y0tGsCQiRCer7LkGGkM+Eq5MAr1h/B4EQZUNZ0IpeHLI0iwlcFCTSAW8MJ/W2J86s/6l679tbXNqbYtHsC3plKGfrNXYEz4okd6OfRMZQS0PRFa8MrgKogkNhbEFrxiE7svzPjUn/XvrC3N3f5SnewWDWDCN1W1SR93TPhKafTAJ4EqTgT4SYpBNPb4jOTHNGajt8s8458NvKL+9WNvrH/ztT9ph3NOFwtgwnfOapJXrCngq0sYA2EXRD02Oqae9/jy2OiYet7jy2OjY+p5jy+PjY6p5z2+PDY6pp73+PLY6Jh63uPLY6Nj6nmPL4+NjplqfpEAJnxTVZf0caeGry6hNGq9rmveY9Pk0+PLY8P4cQU8Wnps4tHrgX24ujIkMX59FWWIZinzZv8xBisO4WsVKWd5Svhu7/G+ib+ovklh3OPFr2/CS/Ax2hmxbGL8WpvYhwKsVrJM/Vn/xmp/Uqfmni6qB0z4zl098ok3JXxRSrzsAY+BnI6ADi/RuNDQOtDokU9GNZ/aNDz/C6jAP/Ihwc4+28n41J/1L137q1vm/H8bTjHz70hXRMK3S6H1bp8avlAOjxDhVYeApPy2jyIpEFvw4r4wEh5JsqM2sd6CF+vEJ+Z1Ynzqz/p31vZO/6mdqf3ptjjn/CIATPjOWSXyijUHfFFi9HbxKJB8eEEgjClenAHISo/XDsjSjygJiJEHPRpJAt6mXjXjU3/Wv3TtT9rp3NPsAUz4zl0l8ok3F3x1iWMgFJBa8IqdDHzRIBabLvCKD5ky/nkQi5bUv75Sg/qmE+vf+cfXpM4MbX9a1znmswYw4TtHFcgzRgr4aiUsCPGSBHvi0/kxr0+EP4feL3rT8ONJjL8LYurP+jdn+/O0WY+N8/TgCTXMhvAdpteacqeGr9ZSQKjXdc3jRNF1sujyIdsZvwax6NFnSv1Z/8Zqf33q2z55snwMifDd55Au2zYn+C5bSe49FaACuSuQHYAJ39yrzHT7R/hOpy09UwEqkJ8CWQGY8M2vgsy1R4TvXEozDhWgArkokA2ACd9cqsT8+0H4zq85I1IBKpBegXc2m82fKXfjH99+W31x927KXWDshAp89fgwYXSGpgJUoGQFvj++kpQ/WYyC3hweVql6wOEfkOowxE+VSo6/7fleTaU841IBKkAF0iqQzSVoXoZMWxHmjs7jPbfijEcFqEBuCmQDYAjDk3Ju1WOa/eFxnkZXeqUCVGBZCmQFYEjHk/OyKtDQveXxHaoY81MBKrBWBbIDMITmSXqd1Y3HdZ3HlaWiAlTAp0CWAEZReLL2HdBcrXg8cz0y3C8qQAVSKZAtgCEIT9qpqsW4cXkcx9WT3qgAFViHAlkDGBLz5L3sitb3+OHj9fic35CE/B4bxLKJ8X1aUn9bk9qXoRfr33mNUre/83s0z5osngPuKipO4re6MnF7dgr0hS92/MW/6w/YN33zVRcOJzHkf3tcrx1q89HFqrpxWXtkfOrP+odv6A5tS2hFQ21ybH+7Z4P5lhYBYMhBCM9XKcaINAS+iIdv5x7/UUP1+U/xRm3Be+Hdek8B4r42OFkglk2MT/1Z/8ptf/Z8MNfyYgAMQQjhuarFfnGGwhfR8P3Om1fqy6DSuxWoAo6v3571eAHej8O6Ty7V+/n6t6r68WR7k03Xf+mMT/1Z/8ptf/ud8fzWiwIwikkI+w/2HJYe+Or9ioHwu1/qHBa8YgcQ46dBLDZd4BUfMmX88yAWLan/7j9+UmdY/9bT/uSYzjVdHIAhDCE8V/UYFmdf+OpoGoTo/W4vHZ/0eHU+Pa9PhLgsjZ4z/HgS45+BmPqz/pXW/jznDI/NIgGMghLCnsM9nc2Y8NV7CRDeGAhRgHisxPjUn/VvWGtaU/sbVvLhuRcLYBSVEB5+wKewGAO+L97Uo1D1vd22fZUBWchz/YN+PV25RI1RmNc/3PXO+NQfo4BZ/87GVuy2kN2ltbW/3dLNt7RoAEOm1BBm/PEqK0ah/hAeL8KAqqYToTR8eQQJ0WXgVROIBbzw35YYn/qz/pXb/trODVNtWzyAIUwqCErPr/T4Y1RO9Egvh56pjIC2J0ILXhlchdhiY0FswSs2sfvCjE/9Wf/O2lJp7W+Mc5jHxzvhg/B/egzHsvnHt99WR0dHo7i75fASyl8dHh4OthT4asPS42st+s7/z6vnc1rY6hxNEPXYaL963uPLY6Nj6nmPL4+NjqnnPb48Njqmnvf48tjomHre48tjo2PqeY8vj42Oqec9vjw2Oqae9/jy2CDm98dXqi/u3tXhZ51fRQ9YFJurJxqDL/ah9PhyHPad6hHI0rttAq/E8tiIrZ16fHlsbFxZ9vjy2Eg8O/X48tjYuLLs8eWxkXh26vHlsbFxZdnjy2Mj8ezU48tjY+PKsseXx0bipZyuCsAQcmoINsFXDmLp8UWHMabSqIb48tg0+ff48tgwflwBj5Yem3j0emAfXs4xJDF+/fjaEM2a8nq09Ng0xZ9jffYfY/CI0AVJj0/Y9PXbN9/Q/ejrt2++qeIP9Yv820tIb+Ivqm/yh3u8+PVNeOE7Rjsjlk2MX2sT+1CA1UqWqT/r31ran9Tpuaer6wGLgIDQLVkYYToUaqXHHyo5XvaAx0BOR0CHl2hcaKidaPTIJ6OaT20anv8FVOAf+ZBgZ5/tZHzqz/pXbvurzwzz/204xc2/I1NEHAuCQ+ErZSk9vujQZ4pHiPCqQ0BSfttHkRSILXhxXxgJjyTZUZtYb8GLdeIT8zoxPvVn/Ttre6f/1BbS/vS5YM75VQMYQu4LQS985SCWHl906Jqit4tHgeTDCwJhTPHiDEBWerx2QJYeASkgRh70aCQJeJt61YxP/Vn/ym1/cp6Ye7p6AENQLwT3ha8czNLjiw59pjEQCkgteMWfDLzQIBabLvCKD5ky/nkQi5bUP2gTeesa69/Ze8PlqQWpM0trf3IemGtaBIAh5lAIjgVfOZClxxcd+k4tCPGSBJzo2pI+Ef4cer/oTcOPJzH+LoipP+tfSe3Pc87w2DhPT55Q6W36QnBs+ErJS48vOgyZCgiH2OBE0XWy6OuP8WsQ99UL+ag/699a2t+Qeu/Ju8rHkNqE6IJr1/Y23322dfnv2t4nRlueLv9d29t8cxsVoAJUgAr0V6A4AEOaJsg0re8vZ7+cTXGa1vfz2j9XU5ym9f09MycVoAJUgAr0VaBIAEMcCxu73FdAbz4bzy57/fa1s/Hscl8/zEcFqAAVoAI+BYoFMOQS6MjUJ6HfSuLK1O/JZylxZerzQisqQAWoABXwKJDF15A8O04bKkAFqAAVoAL7KlD015BSFn7fA0d7KkAFqAAVoAJeBYq+BO0VjXZUgApQASpABfZVgADeV0HaUwEqQAWoABVwKEAAO0SjCRWgAlSAClCBfRUggPdVkPZUgApQASpABRwKEMAO0WhCBagAFaACVGBfBQjgfRWkPRWgAlSAClABhwIEsEM0mlABKkAFqAAV2FcBAnhfBWlPBagAFaACVMChAAHsEI0mVIAKUAEqQAX2VYAA3ldB2lMBKkAFqAAVcChAADtEowkVoAJUgApQgX0VIID3VZD2VIAKUAEqQAUcChDADtFoQgWoABWgAlRgXwUI4H0VpD0VoAJUgApQAYcCBLBDNJpQASpABagAFdhXAQJ4XwVpTwWoABWgAlTAoQAB7BCNJlSAClABKkAF9lWAAN5XQdpTASpABagAFXAoQAA7RKMJFaACVIAKUIF9FSCA91WQ9lSAClABKkAFHAoQwA7RaEIFqAAVoAJUYF8FCOB9FaQ9FaACVIAKUAGHAgSwQzSaUAEqQAWoABXYVwECeF8FaU8FqAAVoAJUwKEAAewQjSZUgApQASpABfZVgADeV0HaUwEqQAWoABVwKEAAO0SjCRWgAlSAClCBfRUggPdVkPZUgApQASpABRwKEMAO0WhCBagAFaACVGBfBQjgfRWkPRWgAlSAClABhwL/PwWOqWR4psuwAAAAAElFTkSuQmCC",
"text/plain": [
"<PIL.Image.Image image mode=RGBA size=480x480>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The shield for shield_value = 0.99\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<PIL.Image.Image image mode=RGBA size=480x480>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The shield for shield_value = 0.999\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<PIL.Image.Image image mode=RGBA size=480x480>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The shield for shield_value = 1.0\n",
"Training with shield:\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<PIL.Image.Image image mode=RGBA size=480x480>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Using cpu device\n",
"Wrapping the env with a `Monitor` wrapper\n",
"Wrapping the env in a DummyVecEnv.\n",
"Wrapping the env in a VecTransposeImage.\n"
]
},
{
"ename": "AssertionError",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[3], line 63\u001b[0m\n\u001b[1;32m 61\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;18m__name__\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m__main__\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStarting the training\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 63\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
"Cell \u001b[0;32mIn[3], line 56\u001b[0m, in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m 53\u001b[0m model\u001b[38;5;241m.\u001b[39mset_logger(logger)\n\u001b[1;32m 54\u001b[0m steps \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m20_000\u001b[39m\n\u001b[0;32m---> 56\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m(\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 57\u001b[0m model\u001b[38;5;241m.\u001b[39mlearn(steps,callback\u001b[38;5;241m=\u001b[39m[InfoCallback()])\n",
"\u001b[0;31mAssertionError\u001b[0m: "
]
}
],
"source": [
"GRID_TO_PRISM_BINARY=os.getenv(\"M2P_BINARY\")\n",
"\n",
"def mask_fn(env: gym.Env):\n",
" return env.create_action_mask()\n",
"\n",
"def nomask_fn(env: gym.Env):\n",
" return [1.0] * 7\n",
"\n",
"def main():\n",
" env = \"MiniGrid-LavaFaultyS15-1-v0\"\n",
" \n",
" formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
" value_for_training = 0.0\n",
" shield_comparison = \"absolute\"\n",
" shielding = ShieldingConfig.Training\n",
" \n",
" logger = Logger(\"/tmp\", output_formats=[HumanOutputFormat(sys.stdout)])\n",
" \n",
" env = gym.make(env, render_mode=\"rgb_array\")\n",
" image_env = RGBImgObsWrapper(env, TILE_PIXELS)\n",
" env = RGBImgObsWrapper(env, 8)\n",
" env = ImgObsWrapper(env)\n",
" env = MiniWrapper(env)\n",
"\n",
" \n",
" env.reset()\n",
" Image.fromarray(env.render()).show()\n",
"\n",
" shield_values = [0.0, 0.9, 0.99, 0.999, 1.0]\n",
" shield_handlers = dict()\n",
" if shield_needed(shielding):\n",
" for value in shield_values: \n",
" shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=False, prism_file=None)\n",
" env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)\n",
" shield_handlers[value] = shield_handler\n",
"\n",
" if shield_needed(shielding):\n",
" for value in shield_values: \n",
" create_shield_overlay_image(image_env, shield_handlers[value].create_shield())\n",
" print(f\"The shield for shield_value = {value}\")\n",
"\n",
"\n",
" if shielding == ShieldingConfig.Training:\n",
" env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)\n",
" env = ActionMasker(env, mask_fn)\n",
" print(\"Training with shield:\")\n",
" create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())\n",
" elif shielding == ShieldingConfig.Disabled:\n",
" env = ActionMasker(env, nomask_fn)\n",
" else:\n",
" assert(False) \n",
" model = MaskablePPO(\"CnnPolicy\", env, verbose=1, device=\"auto\")\n",
" model.set_logger(logger)\n",
" steps = 20_000\n",
"\n",
" assert(False)\n",
" model.learn(steps,callback=[InfoCallback()])\n",
"\n",
"\n",
"\n",
"if __name__ == '__main__':\n",
" print(\"Starting the training\")\n",
" main()"
]
},
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