{
 "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": [
      "2024-09-23 08:47:31.782344: 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",
      "2024-09-23 08:47:31.796255: 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",
      "2024-09-23 08:47:31.800423: 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",
      "2024-09-23 08:47:31.810763: 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",
      "2024-09-23 08:47:32.657828: 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": 2,
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting the training\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x416>"
      ]
     },
     "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 0.08271026611328125 seconds.\n",
      "LOG: Starting with model checking...\n",
      "Elapsed time is 0.0008902549743652344 seconds.\n",
      "LOG: Starting to translate shield...\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
      "Elapsed time is 0.026116371154785156 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shield for shield_value = 0.9\n",
      "\n",
      "\n",
      "Computing new shield\n",
      "LOG: Starting with explicit model creation...\n",
      "Elapsed time is 0.08337211608886719 seconds.\n",
      "LOG: Starting with model checking...\n",
      "Elapsed time is 0.0007877349853515625 seconds.\n",
      "LOG: Starting to translate shield...\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
      "Elapsed time is 0.02267932891845703 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shield for shield_value = 0.99\n",
      "\n",
      "\n",
      "Computing new shield\n",
      "LOG: Starting with explicit model creation...\n",
      "Elapsed time is 0.08304810523986816 seconds.\n",
      "LOG: Starting with model checking...\n",
      "Elapsed time is 0.0007925033569335938 seconds.\n",
      "LOG: Starting to translate shield...\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 67\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 68\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 69\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 70\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 71\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 72\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 73\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 74\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 329\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 330\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 331\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 332\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 333\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 334\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 335\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 336\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 457\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 466\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 471\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 472\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 473\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 474\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 475\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 476\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 477\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 478\n",
      "Elapsed time is 0.022092103958129883 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shield for shield_value = 0.999\n",
      "\n",
      "\n",
      "Computing new shield\n",
      "LOG: Starting with explicit model creation...\n",
      "Elapsed time is 0.08694028854370117 seconds.\n",
      "LOG: Starting with model checking...\n",
      "Elapsed time is 0.0007922649383544922 seconds.\n",
      "LOG: Starting to translate shield...\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 67\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 68\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 69\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 70\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 71\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 72\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 73\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 74\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 80\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 81\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 82\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 83\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 84\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 85\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 86\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 329\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 330\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 331\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 332\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 333\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 334\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 335\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 336\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 343\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 344\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 345\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 346\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 347\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 348\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 349\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 457\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 466\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 470\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 471\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 472\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 473\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 474\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 475\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 476\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 477\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 478\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 479\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 484\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 485\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 486\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 487\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 488\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 489\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 490\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 491\n",
      "Elapsed time is 0.021901845932006836 seconds.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shield for shield_value = 0.9999\n",
      "\n",
      "\n",
      "Computing new shield\n",
      "LOG: Starting with explicit model creation...\n",
      "Elapsed time is 0.08632326126098633 seconds.\n",
      "LOG: Starting with model checking...\n",
      "Elapsed time is 0.0008187294006347656 seconds.\n",
      "LOG: Starting to translate shield...\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 67\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 68\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 69\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 70\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 71\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 72\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 73\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 74\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 80\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 81\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 82\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 83\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 84\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 85\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 86\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 93\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 94\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 95\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 96\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 97\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 98\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 106\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 107\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 108\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 109\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 110\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 329\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 330\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 331\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 332\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 333\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 334\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 335\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 336\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 343\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 344\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 345\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 346\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 347\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 348\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 349\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 357\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 358\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 359\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 360\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 361\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 362\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 371\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 372\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 373\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 374\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 375\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 457\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
      "Elapsed time is 0.022674560546875 seconds.\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 466\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 470\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 471\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 472\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 473\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 474\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 475\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 476\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 477\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 478\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 479\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 483\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 484\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 485\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 486\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 487\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 488\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 489\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 490\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 491\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 492\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 496\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 497\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 498\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 499\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 500\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 501\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 502\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 503\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 504\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 505\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "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=512x416>"
      ]
     },
     "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",
      "-----------------------------------\n",
      "| info/                |          |\n",
      "|    no_shield_action  | 0        |\n",
      "|    sum_opened_door   | 0        |\n",
      "|    sum_picked_up     | 0        |\n",
      "|    sum_ran_into_lava | 2        |\n",
      "|    sum_reached_goal  | 4        |\n",
      "| rollout/             |          |\n",
      "|    ep_len_mean       | 147      |\n",
      "|    ep_rew_mean       | -1.32    |\n",
      "| time/                |          |\n",
      "|    fps               | 122      |\n",
      "|    iterations        | 1        |\n",
      "|    time_elapsed      | 16       |\n",
      "|    total_timesteps   | 2048     |\n",
      "-----------------------------------\n",
      "-----------------------------------------\n",
      "| info/                   |             |\n",
      "|    no_shield_action     | 0           |\n",
      "|    sum_opened_door      | 0           |\n",
      "|    sum_picked_up        | 0           |\n",
      "|    sum_ran_into_lava    | 3           |\n",
      "|    sum_reached_goal     | 7           |\n",
      "| rollout/                |             |\n",
      "|    ep_len_mean          | 155         |\n",
      "|    ep_rew_mean          | -1.4        |\n",
      "| time/                   |             |\n",
      "|    fps                  | 64          |\n",
      "|    iterations           | 2           |\n",
      "|    time_elapsed         | 63          |\n",
      "|    total_timesteps      | 4096        |\n",
      "| train/                  |             |\n",
      "|    approx_kl            | 0.004596745 |\n",
      "|    clip_fraction        | 0.0505      |\n",
      "|    clip_range           | 0.2         |\n",
      "|    entropy_loss         | -0.965      |\n",
      "|    explained_variance   | 0.00267     |\n",
      "|    learning_rate        | 0.0003      |\n",
      "|    loss                 | 0.00807     |\n",
      "|    n_updates            | 10          |\n",
      "|    policy_gradient_loss | -0.00159    |\n",
      "|    value_loss           | 0.153       |\n",
      "-----------------------------------------\n",
      "-----------------------------------------\n",
      "| info/                   |             |\n",
      "|    no_shield_action     | 0           |\n",
      "|    sum_opened_door      | 0           |\n",
      "|    sum_picked_up        | 0           |\n",
      "|    sum_ran_into_lava    | 3           |\n",
      "|    sum_reached_goal     | 12          |\n",
      "| rollout/                |             |\n",
      "|    ep_len_mean          | 157         |\n",
      "|    ep_rew_mean          | -1.34       |\n",
      "| time/                   |             |\n",
      "|    fps                  | 55          |\n",
      "|    iterations           | 3           |\n",
      "|    time_elapsed         | 110         |\n",
      "|    total_timesteps      | 6144        |\n",
      "| train/                  |             |\n",
      "|    approx_kl            | 0.007139873 |\n",
      "|    clip_fraction        | 0.0514      |\n",
      "|    clip_range           | 0.2         |\n",
      "|    entropy_loss         | -0.989      |\n",
      "|    explained_variance   | 0.652       |\n",
      "|    learning_rate        | 0.0003      |\n",
      "|    loss                 | 0.00669     |\n",
      "|    n_updates            | 20          |\n",
      "|    policy_gradient_loss | -0.00884    |\n",
      "|    value_loss           | 0.0208      |\n",
      "-----------------------------------------\n",
      "-----------------------------------------\n",
      "| info/                   |             |\n",
      "|    no_shield_action     | 0           |\n",
      "|    sum_opened_door      | 0           |\n",
      "|    sum_picked_up        | 0           |\n",
      "|    sum_ran_into_lava    | 6           |\n",
      "|    sum_reached_goal     | 18          |\n",
      "| rollout/                |             |\n",
      "|    ep_len_mean          | 151         |\n",
      "|    ep_rew_mean          | -1.29       |\n",
      "| time/                   |             |\n",
      "|    fps                  | 51          |\n",
      "|    iterations           | 4           |\n",
      "|    time_elapsed         | 157         |\n",
      "|    total_timesteps      | 8192        |\n",
      "| train/                  |             |\n",
      "|    approx_kl            | 0.018118031 |\n",
      "|    clip_fraction        | 0.232       |\n",
      "|    clip_range           | 0.2         |\n",
      "|    entropy_loss         | -0.965      |\n",
      "|    explained_variance   | 0.662       |\n",
      "|    learning_rate        | 0.0003      |\n",
      "|    loss                 | -0.0331     |\n",
      "|    n_updates            | 30          |\n",
      "|    policy_gradient_loss | -0.029      |\n",
      "|    value_loss           | 0.0188      |\n",
      "-----------------------------------------\n",
      "-----------------------------------------\n",
      "| info/                   |             |\n",
      "|    no_shield_action     | 0           |\n",
      "|    sum_opened_door      | 0           |\n",
      "|    sum_picked_up        | 0           |\n",
      "|    sum_ran_into_lava    | 7           |\n",
      "|    sum_reached_goal     | 27          |\n",
      "| rollout/                |             |\n",
      "|    ep_len_mean          | 143         |\n",
      "|    ep_rew_mean          | -1.15       |\n",
      "| time/                   |             |\n",
      "|    fps                  | 51          |\n",
      "|    iterations           | 5           |\n",
      "|    time_elapsed         | 200         |\n",
      "|    total_timesteps      | 10240       |\n",
      "| train/                  |             |\n",
      "|    approx_kl            | 0.026092233 |\n",
      "|    clip_fraction        | 0.305       |\n",
      "|    clip_range           | 0.2         |\n",
      "|    entropy_loss         | -0.899      |\n",
      "|    explained_variance   | 0.779       |\n",
      "|    learning_rate        | 0.0003      |\n",
      "|    loss                 | -0.0443     |\n",
      "|    n_updates            | 40          |\n",
      "|    policy_gradient_loss | -0.0379     |\n",
      "|    value_loss           | 0.0181      |\n",
      "-----------------------------------------\n",
      "-----------------------------------------\n",
      "| info/                   |             |\n",
      "|    no_shield_action     | 0           |\n",
      "|    sum_opened_door      | 0           |\n",
      "|    sum_picked_up        | 0           |\n",
      "|    sum_ran_into_lava    | 12          |\n",
      "|    sum_reached_goal     | 41          |\n",
      "| rollout/                |             |\n",
      "|    ep_len_mean          | 129         |\n",
      "|    ep_rew_mean          | -0.987      |\n",
      "| time/                   |             |\n",
      "|    fps                  | 50          |\n",
      "|    iterations           | 6           |\n",
      "|    time_elapsed         | 243         |\n",
      "|    total_timesteps      | 12288       |\n",
      "| train/                  |             |\n",
      "|    approx_kl            | 0.031460643 |\n",
      "|    clip_fraction        | 0.366       |\n",
      "|    clip_range           | 0.2         |\n",
      "|    entropy_loss         | -0.904      |\n",
      "|    explained_variance   | 0.738       |\n",
      "|    learning_rate        | 0.0003      |\n",
      "|    loss                 | 0.0227      |\n",
      "|    n_updates            | 50          |\n",
      "|    policy_gradient_loss | -0.0438     |\n",
      "|    value_loss           | 0.0274      |\n",
      "-----------------------------------------\n",
      "-----------------------------------------\n",
      "| info/                   |             |\n",
      "|    no_shield_action     | 0           |\n",
      "|    sum_opened_door      | 0           |\n",
      "|    sum_picked_up        | 0           |\n",
      "|    sum_ran_into_lava    | 13          |\n",
      "|    sum_reached_goal     | 61          |\n",
      "| rollout/                |             |\n",
      "|    ep_len_mean          | 113         |\n",
      "|    ep_rew_mean          | -0.68       |\n",
      "| time/                   |             |\n",
      "|    fps                  | 49          |\n",
      "|    iterations           | 7           |\n",
      "|    time_elapsed         | 287         |\n",
      "|    total_timesteps      | 14336       |\n",
      "| train/                  |             |\n",
      "|    approx_kl            | 0.029588418 |\n",
      "|    clip_fraction        | 0.326       |\n",
      "|    clip_range           | 0.2         |\n",
      "|    entropy_loss         | -0.844      |\n",
      "|    explained_variance   | 0.839       |\n",
      "|    learning_rate        | 0.0003      |\n",
      "|    loss                 | -0.0211     |\n",
      "|    n_updates            | 60          |\n",
      "|    policy_gradient_loss | -0.0413     |\n",
      "|    value_loss           | 0.0256      |\n",
      "-----------------------------------------\n",
      "-----------------------------------------\n",
      "| info/                   |             |\n",
      "|    no_shield_action     | 0           |\n",
      "|    sum_opened_door      | 0           |\n",
      "|    sum_picked_up        | 0           |\n",
      "|    sum_ran_into_lava    | 17          |\n",
      "|    sum_reached_goal     | 96          |\n",
      "| rollout/                |             |\n",
      "|    ep_len_mean          | 76.9        |\n",
      "|    ep_rew_mean          | -0.129      |\n",
      "| time/                   |             |\n",
      "|    fps                  | 49          |\n",
      "|    iterations           | 8           |\n",
      "|    time_elapsed         | 330         |\n",
      "|    total_timesteps      | 16384       |\n",
      "| train/                  |             |\n",
      "|    approx_kl            | 0.029721234 |\n",
      "|    clip_fraction        | 0.354       |\n",
      "|    clip_range           | 0.2         |\n",
      "|    entropy_loss         | -0.818      |\n",
      "|    explained_variance   | 0.77        |\n",
      "|    learning_rate        | 0.0003      |\n",
      "|    loss                 | -0.0383     |\n",
      "|    n_updates            | 70          |\n",
      "|    policy_gradient_loss | -0.0478     |\n",
      "|    value_loss           | 0.0336      |\n",
      "-----------------------------------------\n",
      "-----------------------------------------\n",
      "| info/                   |             |\n",
      "|    no_shield_action     | 0           |\n",
      "|    sum_opened_door      | 0           |\n",
      "|    sum_picked_up        | 0           |\n",
      "|    sum_ran_into_lava    | 20          |\n",
      "|    sum_reached_goal     | 125         |\n",
      "| rollout/                |             |\n",
      "|    ep_len_mean          | 61.6        |\n",
      "|    ep_rew_mean          | 0.154       |\n",
      "| time/                   |             |\n",
      "|    fps                  | 49          |\n",
      "|    iterations           | 9           |\n",
      "|    time_elapsed         | 374         |\n",
      "|    total_timesteps      | 18432       |\n",
      "| train/                  |             |\n",
      "|    approx_kl            | 0.028434563 |\n",
      "|    clip_fraction        | 0.32        |\n",
      "|    clip_range           | 0.2         |\n",
      "|    entropy_loss         | -0.753      |\n",
      "|    explained_variance   | 0.856       |\n",
      "|    learning_rate        | 0.0003      |\n",
      "|    loss                 | -0.0663     |\n",
      "|    n_updates            | 80          |\n",
      "|    policy_gradient_loss | -0.0471     |\n",
      "|    value_loss           | 0.0295      |\n",
      "-----------------------------------------\n",
      "-----------------------------------------\n",
      "| info/                   |             |\n",
      "|    no_shield_action     | 0           |\n",
      "|    sum_opened_door      | 0           |\n",
      "|    sum_picked_up        | 0           |\n",
      "|    sum_ran_into_lava    | 21          |\n",
      "|    sum_reached_goal     | 164         |\n",
      "| rollout/                |             |\n",
      "|    ep_len_mean          | 54.5        |\n",
      "|    ep_rew_mean          | 0.285       |\n",
      "| time/                   |             |\n",
      "|    fps                  | 48          |\n",
      "|    iterations           | 10          |\n",
      "|    time_elapsed         | 418         |\n",
      "|    total_timesteps      | 20480       |\n",
      "| train/                  |             |\n",
      "|    approx_kl            | 0.030364938 |\n",
      "|    clip_fraction        | 0.363       |\n",
      "|    clip_range           | 0.2         |\n",
      "|    entropy_loss         | -0.772      |\n",
      "|    explained_variance   | 0.897       |\n",
      "|    learning_rate        | 0.0003      |\n",
      "|    loss                 | -0.0341     |\n",
      "|    n_updates            | 90          |\n",
      "|    policy_gradient_loss | -0.0478     |\n",
      "|    value_loss           | 0.0312      |\n",
      "-----------------------------------------\n"
     ]
    }
   ],
   "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-LavaSlipperyCliff-16x13-Slip10-Time-v0\"\n",
    "    \n",
    "    formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
    "    value_for_training = 0.99\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_handlers = dict()\n",
    "    if shield_needed(shielding):\n",
    "        for value in [0.9, 0.99, 0.999, 0.9999, 1.0]:\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",
    "            create_shield_overlay_image(image_env, shield_handler.create_shield())\n",
    "            print(f\"The shield for shield_value = {value}\")\n",
    "\n",
    "            shield_handlers[value] = shield_handler\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()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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