path_prediction_comparison.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from importlib import reload\n",
    "from src import parsing\n",
    "from src import model_path\n",
    "from src import models_path\n",
    "from src import model_goal\n",
    "from src import models_goal\n",
    "from src import inception\n",
    "from src import model_interface\n",
    "from src import visualization\n",
    "from src import util\n",
    "from src import config\n",
    "reload(parsing)\n",
    "reload(model_path)\n",
    "reload(models_path)\n",
    "reload(model_goal)\n",
    "reload(models_goal)\n",
    "reload(inception)\n",
    "reload(model_interface)\n",
    "reload(visualization)\n",
    "reload(util)\n",
    "reload(config)\n",
    "\n",
    "import seaborn\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import random\n",
    "from tqdm import tqdm\n",
    "import shelve\n",
    "import statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "## define the models paths and names\n",
    "# cnn baseline\n",
    "model_cnn_name = 'cnn'\n",
    "model_cnn_path = ('path_cnn_a', 'cnn')\n",
    "model_cnn_path_goal = ('path_cnn_goal_a', 'cnn with destinations')\n",
    "model_cnn_path_dropout = ('path_cnn_droput_a', 'bayesian cnn')\n",
    "model_cnn_path_dropout_goal = ('path_cnn_goal_dropout_a', 'bayesian cnn with destinations')\n",
    "# rnn\n",
    "model_rnn_path = ('lstm_baseline_b', 'rnn')\n",
    "model_rnn_goal = ('lstm_baseline_goal_a', 'rnn with destinations')\n",
    "# transformer\n",
    "model_tf_name = 'transformer'\n",
    "model_tf_path = ('path_transformerk_l', 'transformer')\n",
    "model_tf_path_dropout = ('path_transformerk_dropout_a', 'bayesian transformer')\n",
    "model_tf_path_dropout_goal = ('path_transformerk_goal_dropout_a', 'bayesian transformer with destinations')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plot training comparisons\n",
    "def draw_comparison(name, model_designations):\n",
    "    model_name_list = []\n",
    "    model_path_list = []\n",
    "\n",
    "    for model in model_designations:\n",
    "        model_path_list.append(model[0])\n",
    "        model_name_list.append(model[1])\n",
    "\n",
    "    # load histories\n",
    "    history_dicts = []\n",
    "    for history_file in model_path_list:\n",
    "        history_dicts.append(model_interface.load_history(history_file, is_goal=False))\n",
    "\n",
    "    save_path_prefix = f\"{name}_\"\n",
    "\n",
    "    visualization.draw_histories(\n",
    "        \"val_loss\",\n",
    "        \"val loss\",\n",
    "        graph_name = name,\n",
    "        save_file = f'{save_path_prefix}path_comparison_val_loss',\n",
    "        names = model_name_list,\n",
    "        history_dicts = history_dicts,\n",
    "    )\n",
    "\n",
    "    visualization.draw_histories(\n",
    "        \"val_mean_absolute_error\",\n",
    "        \"val mean absolute error\",\n",
    "        graph_name = name,\n",
    "        save_file = f'{save_path_prefix}path_comparison_val_mean_absolute_error',\n",
    "        names = model_name_list,\n",
    "        history_dicts = history_dicts,\n",
    "    )\n",
    "\n",
    "    visualization.draw_histories(\n",
    "        \"loss\",\n",
    "        \"loss\",\n",
    "        graph_name = name,\n",
    "        save_file = f'{save_path_prefix}path_comparison_loss',\n",
    "        names = model_name_list,\n",
    "        history_dicts = history_dicts,\n",
    "    )\n",
    "\n",
    "    visualization.draw_histories(\n",
    "        \"mean_absolute_error\",\n",
    "        \"mean absolute error\",\n",
    "        graph_name = name,\n",
    "        save_file = f'{save_path_prefix}goal_comparison_mean_absolute_error',\n",
    "        names = model_name_list,\n",
    "        history_dicts = history_dicts,\n",
    "    )\n",
    "\n",
    "draw_comparison('cnn training', [model_cnn_path, model_cnn_path_dropout])\n",
    "draw_comparison('cnn training with destinations', [model_cnn_path_goal, model_cnn_path_dropout_goal])\n",
    "draw_comparison('cnn comparison to using destinations', [model_cnn_path, model_cnn_path_goal])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LBp2cprjm/UqXWDJSnD/e66fDllmQcZq2AP+aDF1GOPcfhYS7V5eqk7gXjXMSvY+riS7btfyB+DpJt26b35NM3bZO0+e2n504di9w7lfyrwpNL4Geo6HF5c6Xgjn/hMXjYNM3zv1C7W/wXrNjYfImvO2znSvrK5+Hhp3LNg5T4VlCqYxEnAQTFOJ8wy/L4zbu7jySDjl32y+fCJ/cCKHNiQyIgFUPQcJup3xoM+g03EkAERcXv5nMxwfaXQ+tr4U1U2Hui/DxDdC4F/T7P2jSy/26MtOcP4brvnT6p9KToWoYRN0C7YewesUyotKWOFdD89+A1tdAzB+cuAv6A56R4vRPLRrnNOFVqwOxf3WSUZWaTrPVkQ1wZKPz76G1sGEmkG+kX1ik04zYop/zufJfzVz1D4i6Gb7+E3x5t7P424DX3BuocToeNn/nHPfYFudqqW7rfFdPBfSpqTrlC0p4ERc7k6VO6Audb4d+TzuJzxgsoZiSCr4ILhsLff4MG2fC4nepc3AhNL8Uev3R+QMZ2swzx/L1c66QOgyFFZPh11dh4tXO2jM1GoB/NadJz7+qczXmX9X1uprT97J9Nmz8BtISIaimk6Ta3wARfZy6gRO7MiH2T3BitzOzwYrJsPHrs/uNkg45N6ou+wBOH4d6HeC6cU59eZvL6rZ2Hnmln4Zjm50kk5XhDMbIv4x0QepHwT0/O8f8+Vn4b0+45DFnVuz8TXRJh52rmY0zYec80CxnhdEGUXB8h3Mucq+efJzmxbptnEfNJnBgBWz9GRL3OGVyE97lTvOpf5DT/Dr3ZWfNn/X/c5oju92Tey7NhUv0Ar55rWvXrrps2bLyDuMMcXFxxMbGlncYJVJmsaefhqUTnEXQ0pOdJpn0U07TWlb62eUDa0DrAdBuiPNH3C/grCJnxZ6R4lzNLH4XDq1x6mjcA7bPgexMZzh3jwcKv4LxlpMH4YcnYMNXzhXGwNdZuOkgPWsec65E9iwEFEKbQ9tB0GaQ01SYE2NWhtMkmXv15HrEb3ea4QKqO4vItbzcSSI1Gxcey9HN8P0Yp7+rbltnraCmlxT9GbIynau6/ctZdiCbrtfe5YkzU+Yq6/9VT8QtIstVtWv+7faVwlQ+AVWdlTV7P3z2e1mZkOFKMOmnITPFufenqI7x/PyrOM110bfBvqVOn9Gu+U6TVvc/lP7eoJKqUR9umuw0RX37KEwaQM+c9+q2dZZYaDvIeV5QovP1dwY+1Il0rtRyZKQ6K5XWbFJgwi1QnUi4fQZs+hZmjYXJ10Lb65z+lZqNnDKqziCD/cth/wrn34OrnZ8LUDviFqByJhRzNkso5vzi6we+rv4lTxBxhu1WtKG7La+ABxbDknfZsX07zQb8CcJalLw+/6CS9ceJOKMXW/SD396E+f9yBjpEDXMS1P4VkOKa+cEvyGm+63onNOwCDTqxe80empY8alPBWEIxprIKqAoXP8KezDialSaZeIJ/FYgd4yzZ8OOTsPIjp/+l9QAneTTs4vTT5L9RVfaWT7zGKy7ohLL+wEk6PD2r1PX4+gp/uKQ591/aDCnrIZ2VyILtx3jyq3Xcc3Ezbu1+jrb5MpSSnsXjX67h5/Wn8Jtz7t+FGlX8efGGDvRpWaeMoquEajZ2ZrHOzi7Zkg+mUrugE0potQCGdm1U6nq2H03mpR82se/EaZ4d1A4/X/uPlN//Vu3nL9NW4+sj/HXGWvYnnOYvV0aWawI+lpzG3ZOXsWZfAhc38KNlxLl/F+ZvO8qdE5fyzyEdPPJ7c16zZHJBuqATSv2QIJ66tm2p68nOVl75cTPj4rZzKDGV/9zaiaoBF/SpzaWq/DduO6/M2kz3pqH897bOvPrjZt6es539J1J4+cYoAvzK/o/PzmOnGPHBEo4kpfLu8C4EHN1EbOy5fxdOpmbwwMcreOyLNRxISOWhfi3sitSYPOxrhAf4+AhjrmrN89e1Z87mIwwbv4ijSTbte2ZWNk9+tY5XZm1mUFQDPrw7htrVA/nH9R14rH8kX606wIgPlpCYklGmcS3ffYIh//2N5LRMPru3B1e2u8it/WoE+fPByG4M6dyQ13/ewhNfriUjK7voHY25QFhC8aDhPZow4Y6ubD2czJBxv7H9aHJ5h1RuTqdn8oePlvPJ4j3cf2lz3rg5mkA/Z4JHEeHBy1rw+s1RLNsdz9B3FnAgIaVM4vph3SFunbCIkCr+TB/Vi06Nizc/VoCfD68NjeKhfi2Zumwvd09eRnJappeiNaZysYTiYf3a1GPKfT1ISc/ihnELWLbLC4tlVXBHk9IYNn4RczYf4e/XteeJq1vj43N209D1ncKZfGcMBxNSuf6/v7HhwEmvxjXxt52M+mQ5bRvU4MtRvYgIK9kcZyLCo1e04qUbOvDbtmPc/O5CjpxM9XC0xlQ+Xk0oInKViGwWkW0i8kQB7weKyFTX+4tFJCLPe2Nd2zeLSP98+/mKyEoR+SbPtqauOra56nTz7izPi2pUk+mjehNaNYBb31vMd2sPllcoZW77UefqbOvhZMbf3pXbe5x7apFeLcKYNqonPiLc9O5C5m096vGYsrOVv3+zgWe/3sAVberx6T09qF29FLMKu9zcrTHvjejKzmOnuP6/C9h6OMkD0RpTeXktoYiIL/A2cDXQFrhFRPL3et4NnFDVFsDrwEuufdsCw4B2wFXAf1315XgY2JivrpeA1111nXDVXW4a167Kl6N60aFhCA9+uoL35u0oz3DKxNYTzlVZSnoWU+7rweVt3VvlsfVFNZj+QC/Ca1XhzolLmbbMc/cmpGZkMfqzFbw/fycje0UwbngXqgR4bm2VyyLr8vkfepKelc2QcQtYuP24x+o2prLx5lCkGGCbqu4AEJEpwGAgz4IYDAaecT3/AnhLnGEzg4EpqpoG7BSRba76FopIODAAeAF41FW3AH2BW111TXbVO85bH84dtaoF8Mk93Xlk6iqe/3Yjs9YfKnL0V3x8KhN3LCmjCD1HgQXbUmkcWo1Jd8bQuHbx1l+pH1KFaff3ZJRrFNX+hBQe7teyVKOoTpxK594Pl7Fs9wmeHNCGuy9u6pVRWe0bhjDjgV6MnLiUER8soUfz2pTl2C9P/c4E+PkwKrY5nYvZr5Tf4h3HmTBvBxlZ554n0NdH6FQtk9hSHa3s7Tp2irfmbCMqyAZk5OfNhNIQyPtVcx/QvbAyqpopIolAbdf2Rfn2beh6/gbwOBCc5/3aQIKqZhZQ/gwich9wH0C9evWIi4srzmcqkaENlYAUf9YeS6So769ZWVmcOlw5v+V2DFXu6qjsWLuEkl6PjWym6Gk/3vh5K8s37mREuwD8Cuh/KcqR09n8a3kqx1KUB6ICaZG1h7lz9xRaPjk5udS/C490UD7aIOwr45+fp35njqUocZsOc39UIF3qlexPw8IDmby/No3qAUJo0Ll/bglpSlxqNsdTfyK2UeVY6nl7QhZvLE8lKQO+8VWS0n+hbe3KtZqoJ37XC1OpbpYQkYHAEVVdLiKxJalDVccD48GZbbisZgvte5l75SrrDKbgudj7Xaa8/vNW3vxlK1KtFv+9rTPVA93/VV29N4G/TF5KRrYfn93XlW4RoUXu46nYB1xR6iqKzVOxH09O454Pl/HWqgSeGticO3u7P8uWqjJu7nbeXePcbzT+9q6EVD13kjiVlskt//mZSevTqV63MX++slWFvq/nx/WHeOWXldSrUZV3h3Tg8c+W8K/labx8Y0eGdHZzQbYKwJt/Y7zZKb8fyHs7cbhrW4FlRMQPCAGOn2Pf3sAgEdkFTAH6isjHrn1quuoo7Fimksg/iuqmdxZy2M1RVL9sPMyw8YsI8vfly1G93EomxlG7eiCf3tODK9rU49mvN/D8NxvIzi56eYvMrGz+73/rePmH3+83KiqZAFQL9OPhzoEM69aIt+Zs48+fryY9s2I2I01esIs/fLzc6e8b1YtezcP4a/cqxDQN5dHPV/PW7K1cyEuB5PBmQlkKtHSNvgrA6WSfma/MTGCE6/mNwGx1fiozgWGuUWBNgZbAElUdq6rhqhrhqm+2qg537TPHVQeuOv/nxc9mysDN3Rrz/oiu7D5+iuvf/o0tRYyi+mTxbu79cBkt6lZn+gO9aFG3mCtEGqoE+DJueBdG9orgvfk7Gf3ZClIzsgotn3O/0ceLzr7fyB2+PsI/h3Tgz1e0YvrK/dw5aQknU8v2Rtdzyc5W/vHdRp6euZ7L29Tjs3t/HyFY1V+YdGcMQzo15NUftzB2+loyL/AbXb2WUFz9GaOBWTgjsj5X1fUi8pyIDHIVex+o7ep0fxR4wrXveuBznA78H4AHVbXw32rHGOBRV121XXWbSi42si5T/9CTjGzlhnELWLD92FllsrOVl37YxN9mrCM2si5T7utB3eBirn9icvn6CE9f25a/XdOG79YeYvh7izlx6uyFy86432hwu0LvNyqKiPDHfi15bWgUi3fEc9M7CzmYWDY3up5LakYWf5yykvG/7mBEzya8U8AIwQA/H167KYrRl7VgytK93PPhMk5dwDe6evU+FFX9TlVbqWpzVX3Bte0pVZ3pep6qqkNVtYWqxuSMCHO994Jrv0hV/b6AuuNUdWCe1ztcdbRw1Wlzn5wnckZR1asRxIgPlvC/Vb+3ZqZlZvHI56sYF7edW7s3ZvztXahWjP4WUzAR4d5LmvHWrZ1Ysy+RG95ZwJ7jp3Pfz7nfaMvhJN69vSu394wo9TFv6BLOpDtj2HcihevfXsDGg9690fVcEk6nc8f7S/h2zUH+ek1rnhnUDt9CkqWI8Jf+kfzj+g7M23qMm8cv5EjShXmjq90pbyqF8FpV+fL+XnRuXIuHp6zi7TnbSEzJcCWYAzzWP5IXrmtvMz172MCODfj4nu4cT05nyLjfWL03gWW74rlh3AJOp2Ux5b6eXOHm/UbuuLhlGNPud9agHPrOQuZvPfuK1Nv2xp/mhnELWLU3gf/c0on7Lmnu1mCBW7s35r07urLj6Cmuf3sB245ceDe62lc5U2mEVPXnw7tjeGzaGl6ZtZn35u0gOS2TN26O5rpOBY4SNx4Q0zSUL0f1YuTEJQwbv4gsVRrWrMKkO7vRpHbJpq85lzb1azDjwV7cOXEpIycu4c7eEQQHlc2w4mxVPl60h/TMLD66O4buzWoXa//LWtdl6n09uXPSUob8dwEjezct0bB3b9q5M50uPTK8ck4toZhKJdDPlzdujia8VhW+WL6PyXfG0KtFWHmHdd7LGehw/0fL8ff1YdzwLoRW897sRvVDqvD5/T156LOVTJi302vHKUjTsGpMuKM7LeoGF124AB3CnSbaez9cxpu/bPVwdJ7xeFqmJRRjwFku4PGrWvNY//JdoOtCUzc4iC9H9Sqzc14jyJ9Jd8aQ5cbQZU/yEUr9GRuFVuX7h/tQxqG7Ze7cOC6q4Z1BK5ZQTKVlyaTslcc5L6wzvKITEXwrYOg+Il77OVoPpjHGGI+whGKMMcYjLKEYY4zxCEsoxhhjPMISijHGGI+whGKMMcYjLKEYY4zxCEsoxhhjPMISijHGGI+whGKMMcYjLKEYY4zxCEsoxhhjPMISijHGGI+whGKMMcYjLKEYY4zxCEsoxhhjPMISijHGGI+whGKMMcYjLKEYY4zxCEsoxhhjPMKvvAMwJiMjg3379pGamlpuMYSEhLBx48ZyO35pWOzlo7LGXpy4g4KCCA8Px9/f363yllBMudu3bx/BwcFEREQgIuUSQ1JSEsHBweVy7NKy2MtHZY3d3bhVlePHj7Nv3z6aNm3qVt3W5GXKXWpqKrVr1y63ZGKMOZuIULt27WK1HFhCMRWCJRNjKp7i/r+0hGKMMcYjLKGYC15CQgITJkzw+nFuueUWOnbsyOuvv+71YxlTHiyhmAteQkIC77333lnbMzMzPXaMQ4cOsXTpUtasWcMjjzzi1j6ePD5AVlaWR+szJj+vJhQRuUpENovINhF5ooD3A0Vkquv9xSISkee9sa7tm0Wkv2tbkIgsEZHVIrJeRJ7NU36SiOwUkVWuR7Q3P5s5fzzxxBPs3LmT6OhounXrRp8+fRg0aBBt27YF4LrrrqNLly60a9eO8ePH5+5XvXp1/va3vxEVFUWPHj04fPgwANOmTaN9+/ZERUVxySWXAHDllVeyf/9+oqOjmTdvHqtWraJHjx507NiR66+/nhMnTgAQGxvLn/70J7p27cq///1vYmNjeeSRR+jatStt2rRh6dKlDBkyhJYtW/Lkk0/mxvLxxx8TExNDdHQ0f/jDH3KTR/Xq1fnzn/9MVFQUCxcuLJPzaS5cRQ4bFpGHgYlAEvAe0Al4QlV/LGI/X+Bt4ApgH7BURGaq6oY8xe4GTqhqCxEZBrwE3CwibYFhQDugAfCziLQC0oC+qposIv7AfBH5XlUXuep7TFW/cPvTmwrn2a/Xs+HASY/W2bZBDZ6+tl2h77/44ousWbOGVatWERcXx4ABA1i3bl3uUMkPPviA0NBQUlJS6NatGzfccAO1a9fm1KlT9OjRgxdeeIHHH3+cCRMm8OSTT/Lcc88xa9YsGjZsSEJCAgAzZ85k4MCBrFq1CoCOHTvyn//8h0svvZSnnnqKZ599ljfeeAOA9PR0li1bBsDXX39NQEAAy5Yt49///jeDBw9m+fLlhIaG0rx5cx555BF27tzJ1KlT+e233/D39+eBBx7gk08+4Y477uDUqVN0796d1157zaPn1JiCuHOFcpeqngSuBGoBtwMvurFfDLBNVXeoajowBRicr8xgYLLr+RdAP3GGFQwGpqhqmqruBLYBMepIdpX3dz3UjViMcVtMTMwZ4+7ffPPN3KuQvXv3snXrVgACAgIYOHAgAF26dGHXrl0A9O7dm5EjRzJhwoQCm5kSExNJSEjg0ksvBWDEiBH8+uuvue/ffPPNZ5QfNGgQAB06dKBdu3bUr1+fwMBAmjVrxt69e4mLi2P58uV069aN6OhofvnlF3bs2AGAr68vN9xwg4fOjDHn5s6NjTnjxq4BPlLV9eLeWLKGwN48r/cB3Qsro6qZIpII1HZtX5Rv34aQe+WzHGgBvK2qi/OUe0FEngJ+wbmKSjvrw4jcB9wHEFY/jLi4ODc+StlJTk6ucDG5q6Sxh4SEkJSUBMCjsY09HJUjp/6CJCcno6okJSVx+vRpAgMDc8vPmzePWbNm8eOPP1K1alWuueYa4uPjSUpKwt/fn+Rk5/tNeno6KSkpJCUl8corr7B06VJmzZpF586dmTt3LsnJyWRnZ5OUlERSUlLu8XKOn/NeTgLKeS8rK4vMzEySkpJITU3F19c39z1VJTExkezsbG655RaeeeaZsz5zUFAQp0+f9ui59KSsrKxz/mwqssoae3HjTk1Ndfv/tTsJZbmI/Ag0BcaKSDCQ7XY0HqaqWUC0iNQEZohIe1VdB4wFDgEBwHhgDPBcAfuPd71PWKswjY2NLaPI3RMXF0dFi8ldJY1948aN5XrHcf369Tl16hTBwcFUrVoVPz+/3HgyMjIICwujXr16bNq0iaVLl1K1atXc93P+rVKlCv7+/gQHB7N9+3b69u1L3759mT17NgkJCdSsWRMfHx+Cg4MJDg4mNDSUVatW0adPH2bMmMFll11GcHAwvr6+VKtWLbfevK/zx5bz3mWXXcatt97KmDFjqFu3bm7Ca9KkyRkxVkSV9W5zqLyxFzfuoKAgOnXq5FZZdxLK3UA0sENVT4tIKHCnG/vtBxrleR3u2lZQmX0i4geEAMfd2VdVE0RkDnAVsE5VD7reShORicBfigowIyvDjY9hzne1a9eme/futG/fnipVqlCvXr3c96666ireeecd2rRpQ2RkJD169Ciyvscee4ytW7eiqvTr14+oqCh27959RpnJkydz//33c/r0aZo1a8bEiRNLHH/r1q15/vnnufLKK8nOzsbf35+33347N6EYU2ZU9ZwPoDdQzfV8OPAvoIkb+/kBO3CubAKA1UC7fGUeBN5xPR8GfO563s5VPtC1/w7AF6gD1HSVqQLMAwa6Xtd3/SvAG8CLRcVYJaKKpmema0UyZ86c8g6hxEoa+4YNGzwbSAmcPHmyvEMoMYu9fFTW2Isbd0H/P4FlWsDfVHc65ccBp0UkCvgzsB340I1ElQmMBmYBG13JYr2IPCcig1zF3gdqi8g24FHgCde+64HPgQ3AD8CD6jR11QfmiMgaYCnwk6p+46rrExFZC6wFwoDni4wR5eCpg0UVM8YY4wZ3mrwyVVVFZDDwlqq+LyJ3u1O5qn4HfJdv21N5nqcCQwvZ9wXghXzb1uAMWy6ofF93YspvX9I+GtfwTkewMcZcSNxJKEkiMhZnuHAfEfHBGa57XtiXvK+8QzDGmPOCO01eN+PcUHiXqh7C6SB/xatRlRFBLKEYY4yHFJlQXEnkEyBERAYCqapaZB9KZRDgG8C+JEsoxhjjCUUmFBG5CViC09dxE7BYRG70dmBlwd/H3xKKMcZ4iDtNXn8DuqnqCFW9A2dKlf/zblhlI8A3wJq8LnC7du2iffv2ZX7cmTNn8uKL7sxgVLRXX33VI/UU5bHHHqNdu3Y89thjZXI8U/m40ynvo6pH8rw+znky7X2ATwBJ6UkkpiUSEhhS3uGYC8igQYNy5+gqrddee41nn332rO259wb4eOa/6/jx44mPj8fX19et8pmZmfj5ufMnxj1ZWVluH9uUD3d+034QkVkiMlJERgLfkm8ocGXl7+sMVtufnP8GfnMhyczM5O6776ZNmzbceOONuXNfPffcc3Tr1o327dtz3333oaps376dzp075+67devW3NfLly/n0ksvpUuXLvTv35+DB517nN58803atm1Lx44dGTZsGACTJk1i9OjRgDOjcPfu3enUqROXX3557jT4zzzzDHfddRexsbE0a9aMN99886zYn3jiCVJSUoiOjua2225j165dREZGcscdd9C+fXv27t3LqFGj6Nq1K+3atePpp5/O3TciIoKnn36azp0706FDBzZt2gTA3LlziY6OJjo6mk6dOpGUlMSgQYNITk6mS5cuTJ06lV27dtG3b186duxIv3792LNnDwAjR47k/vvvp3v37jz++OOMHDmSUaNG0aNHD5o1a0ZcXBx33XUXbdq0YeTIkbmx/Pjjj/Ts2ZPOnTszdOjQ3DnSIiIiGDNmDJ07d2batGml/2Eb7yrobsf8D+AGnDvk/wVc784+leHRLqqdtp/UXmftnHWO+0TL1gV/p/x3Y1Q/uMazj+/GFHrsnTt3KqA//vijqqreeeed+sorr6iq6vHjx3PLDR8+XGfOnKmqqrGxsbpy5UpVVR07dqy++eabmp6erj179tQjR46oquqUKVP0zjvvVFXV+vXra2pqqqqqnjhxQlVVJ06cqA8++KCqqsbHx2t2draqqk6YMEEfffRRVVV9+umntWfPnpqamqpHjx7V0NBQTU8/e2aHatWqnfF5REQXLlyYuy3nc2RmZuqll16qq1evVlXVJk2a6Jtvvqmqqm+//bbefffdqqo6cOBAnT9/vqqqJiUlaUZGxlnHGThwoE6aNElVVd9//30dPHiwqqqOGDFCBwwYoJmZmbmvb775Zs3OztavvvpKg4ODdc2aNZqVlaWdO3fW+fPn69GjR7VPnz6anJysqqovvviiPvvss7kxvvTSS2f/4CoAu1O+ZHfKo6pfquqjrscMr2W3MhbgGwDYvSgXukaNGuXO0TV8+HDmz58PwJw5c+jevTsdOnRg9uzZrF+/HoB77rmHiRMnkpWVxdSpU7n11lvZvHkz69at44orriA6Oprnn3+effuc36uOHTty22238fHHHxfYBLRv3z769+9Phw4deOWVV3KPAzBgwAACAwMJCwujbt26uVcv59KkSZMz5hz7/PPP6dy5M506dWL9+vVs2PD7kkRDhgwBzp5+/9FHH+XNN98kISGhwJgXLlzIrbfeCsDtt9+ee84Ahg4dekbT1LXXXouI0KFDB+rVq0eHDh3w8fGhXbt27Nmzh0WLFrFhwwZ69+5NdHQ0kydPPmPus/zT+ZuKq9AGThFJouC1RgRQVa3htajKiI/4UDOwpo30qkiu9kxHdXHkX41BREhNTeWBBx5g2bJlNGrUiGeeeYbU1FQAbrjhBp599ln69u1Lly5dqF27NgcOHKBdu3YFror47bff8uuvv/L111/zwgsvsHbt2jPe/+Mf/8ijjz7KoEGDiIuLO2Ma+sDAwNznvr6+bi0LXK1atdznO3fu5NVXX2Xp0qXUqlWLkSNH5n6OvPXnrfuJJ55gwIABfPfdd/Tu3ZtZs2bRunXrIo9b0PHzHsPHx+eMz+Pj40NmZiaqyhVXXMFnn33mVn2m4ir0CkVVg1W1RgGP4PMhmeRoWL2h9aFc4Pbs2cPixc6yOp9++ikXX3xx7h/dsLAwkpOT+eKL3xcCDQoKon///owaNYo773Qm3o6MjOTo0aO5CSUjI4P169eTnZ3N3r17ueyyy3jppZdITEzM7R/IkZiYSMOGDQFnFuLi8vf3JyOj4JmzT548SbVq1QgJCeHw4cN8//33Rda3fft2OnTowJgxY+jWrVtu30pevXr1YsqUKQB88skn9OnTp9hx5+jRowe//fYb27ZtA+DUqVNs2bKlxPWZ8nNejNYqjfDgcLtCucBFRkYyYcIE2rRpw4kTJxg1ahQ1a9bk3nvvpX379vTv359u3bqdsc9tt92Gj48PV155JeCs3vjFF18wZswYoqKiiI6OZsGCBWRlZTF8+HA6dOhAp06deOihh6hZs+YZdT3zzDMMHTqULl26EBYWVuz4R44cmdusll9UVBSdOnWidevW3HrrrfTu3bvI+t544w3at29Px44d8ff35+qrrz6rzH/+8x8mTpxIx44d+eijj/j3v/9d7Lhz1KlTh0mTJnHLLbfQsWNHevbsWWASMxWfOP0rF6auXbvq8HeHM3n9ZJYNX4avT/kPSbxQF9hq06aN5wMqhuIuOvTqq6+SmJjI3//+dy9G5Z7KutATWOzlobhxF/T/U0SWq2rX/GU9N0i8kgoPDidTMzl8+jANqjco73BMJXD99dezfft2Zs+eXd6hGFOhWEIJDgecaewtoRh3zJhx3gx0NMajLuhRXuB0yoPd3GiMMaVVaEJR1crXOFgCF1W7CF/xZW/S3vIOxRhjKjW3m7xEpC4QlPNaVfd4JaIy5u/jz0XVLrKbG40xppTcmb5+kIhsBXYCc4FdQNGD2SuR8OBw9idZk5cxxpSGO/eh/B3oAWxR1aZAP2CRV6MqY+HVw+0K5QJl09e7r7JNX5/3HH/11VdnTDkTGxvLsmXLilXfyJEjz7jB1V1xcXEsWLAg9/U777zDhx+WbI3CXbt28emnn+a+XrZsGQ899FCJ6vIGd5q8MlT1uIj4iIiPqs4RkTe8HVhZCg8OJz41ntMZp6nqX7W8wzEXAJu+vviKO3193nP81VdfMXDgQNq2beuxeNwVFxdH9erV6dWrFwD3339/ievKSSg586h17dqVrl3Puh2k3Ljzm5YgItWBX4FPROTfwCnvhlW2wqu7hg7bVcoFyaavr3zT12dlZdG0aVNUlYSEBHx9ffn1118BuOSSS9i6dWvuOV6wYAEzZ87kscceIzo6mu3btwMwbdo0YmJiaNWqFfPmzTvr3Koqo0ePJjIykssvv5wjR35fFmr58uVcffXVRf6sd+3axTvvvMPrr79OdHQ08+bN45lnnsm9qoyNjWXMmDFnxbFr1y769OlD586d6dy5c+4VzhNPPMG8efOIjo7m9ddfJy4ujoEDBwIQHx/PddddR8eOHenRowdr1qwp8Pdo3LhxgDPFzYABA4iKiqJ9+/ZMnTr1rHNQbAVNQZz3AVTDSTx+wAjgIaB2UftVhkeXLl1UVXXt0bXaflJ7/WX3LwVO31yWLvTp619c/KKO/H6kRx8vLn6x0GPb9PWVd/r6/v3767p16/Trr7/Wrl276vPPP6+pqakaERFx1jkeMWKETps2LXffSy+9NPc8f/vtt9qvX7+z6v/yyy/18ssv18zMTN2/f7+GhITotGnTcn/WO3bsUNWif9ZPP/107u9U/teFxXHq1ClNSUlRVdUtW7Zozt+qOXPm6IABA3Lryvt69OjR+swzz6iq6i+//KJRUVG5x8v7e1SrVi1NT0/XL774Qu+5557cuhISEgo8z56evv4PQH1VzVTVyar6pqoeL30qqzhyr1BsTq8Lkk1fXzmnr+/Tpw+//vorv/76K2PHjmX+/PksXbr0rHnXClPQZ8/r119/5ZZbbsHX15cGDRrQt29fgNyf9eDBg4v9s3Y3joyMDO699146dOjA0KFDz/iZFWb+/PncfvvtAPTt25fjx49z8uRJ4Mzfozp16nD48GE6dOjATz/9xJgxY5g3bx4hIaVftdadTxwM/Cgi8cBUYJqqFv1bXYmEBIZQzb+a3dxYAYyJGVPmx7Tp6yvn9PWXXHIJ48aN48CBAzz33HO88sorxMXFuT3zcUGf3R2qSrt27fjxxx/PmhOrqJ+1u3G8/vrr1KtXj9WrV5OdnU1QUNC5qnD7GHmP06pVK1asWMF3333Hk08+Sb9+/XjqqadKdZwir1BU9VlVbQc8CNQH5orIz6U6agUjIjbS6wJm09efqbJMXx8TE8OCBQvw8fEhKCiI6Oho3n33XS655JKzygYHB5OUlFSsuC655BKmTp1KVlYWBw8eZM6cOcDvP+uc35miftYlOXZiYiL169fHx8eHjz76iKysrCI/R58+ffjkk08AZyBAWFgYNWoUPqHJgQMHqFq1KsOHD+exxx5jxYoVxYqxIMUZ/nEEOAQcB+qW+sgVjE1jf+Gy6evPVFmmrw8MDDyjubJPnz4kJSXRoUOHs8oOGzaMV155hU6dOuV2yhfl+uuvp2XLlrRt25Y77riDnj17Ar//rJ9++mm3ftbXXnstM2bMyO2Ud8cDDzzA5MmTiYqKYtOmTblXaR07dsTX15eoqChef/31M/Z55plnWL58OR07duSJJ54o8svJ2rVriYmJITo6mmeffZYnn3zSrdjOpcjp60XkAeAmoA4wDfhcVYtu0KsEunbtqjlj0V9d+ipTNk9hyW1L8JHyWybGpq8vHzZ9ffmw2MteeU9f3wj4k6qucjuCSqhhcEPSstI4lnKMulXPuwsw40E2fb0xBSsyoajq2LIIpLzljPTan7zfEoo5J5u+3piCXfBLAOfIuy6KKXtFNb0aY8pecf9fWkJxaVC9AYJYQikHQUFBHD9+3JKKMRWIqnL8+PFiDVn26oqNInIV8G/AF3hPVV/M934g8CHQBWf02M2qusv13ljgbiALeEhVZ4lIEM4UMIGu2L9Q1add5ZsCU4DawHLgdlVNdzfWQN9A6lata0OHy0F4eDj79u3j6NGj5RZDampqqcf6lxeLvXxU1tiLE3dQUBDh4eFu1+21hCIivsDbwBXAPmCpiMzMN0LsbuCEqrYQkWHAS8DNItIWGAa0AxoAP4tIKyAN6KuqySLiD8wXke9VdZFr39dVdYqIvOOqe1xxYm5YvaFdoZQDf39/mjZtWq4xxMXF0alTp3KNoaQs9vJRWWP3ZtzebPKKAbap6g7XlcIUYHC+MoOBnMHSXwD9xLlteTAwRVXTVHUnsA2IcU0jk3NXmL/roa59+rrqwFXndcUNODzYbm40xpiS8maTV0Mg77q6+4DuhZVR1UwRScRpsmrImWuu7HNty7nyWQ60AN5W1cUiEgYkqGpm/vL5ich9wH0A9erVIy4uLve9zIRMjpw+wk9zfsJf/Iv9gT0hOTn5jJgqE4u9fFjs5aOyxu7NuL3ah+INqpoFRItITWCGiLTHuYPf3f3HA+PBubEx7414SduT+G7+dzTv3JxmIc08Gre7LsQbGysCi718WOxlz5txe7PJaz/OTZE5wl3bCiwjIn5ACE7nfJH7qmoCMAe4yrVPTVcdhR2rSDZ02BhjSs6bCWUp0FJEmopIAE4n+8x8ZWbirLECcCMw2zXX/kxgmIgEukZvtQSWiEgd15UJIlIFp8N/k2ufOa46cNX5v+IGnPfmRmOMMcXjtSYvV5/IaGAWzrDhD1R1vYg8h7M4y0zgfeAjEdkGxOMkHVzlPgc2AJnAg6qaJSL1gcmufhQfnHnFvnEdcgwwRUSeB1a66i6WsCphBPoG2hWKMcaUgFf7UFT1O+C7fNueyvM8FRhayL4vAC/k27YGKHC8m6ruwBlZVmK509hbQjHGmGKzO+XzsaHDxhhTMpZQ8mlYvSH7k/fbNCDGGFNMllDyCQ8O51TGKRLSEso7FGOMqVQsoeSTM9LL+lGMMaZ4LKHkk3svivWjGGNMsVhCyadhdWfGFrtCMcaY4rGEkk9V/6qEBoXazY3GGFNMllAKEB584dyLcjrjdHmHYIw5T1hCKUB49QvjXpQNxzfQ67NerD26trxDMcacByyhFCA8OJyDpw6SkZ1R3qF41YIDC8jSLH7Z80t5h2KMOQ9YQilAePVwsjWbQ8luz4pfKa06sgqA3w78Vuq6UjJT2Jm2k0OnDpGt2aWuzxhT+VS69VDKQt6hw41qNCqidOWkqqw6ugp/H382xW/iWMoxwqqElbi+cavHMfHQRP71xb8I8AmgQfUGNAxuSHj1cOcRHE7D6g0JDw4nOCDYg5/EGFNRWEIpQO7NjedxP8rOkztJTEvk5sibmbp5KgsPLOTa5teWqC5V5efdP9M0sCnDOw1nX9I+9iXvY1/SPtYcXUNSelJuWR/xYcIVE4ipX6p5PI0xFZAllALUrVoXPx+/83qk1+ojqwG4pfUt/LT7J3478FuJE8rOxJ3sTdrLzaE3c1PkTWe9n5iWyP7k/exN2svjvz7O0sNLLaEYcx6yPpQC+Pr40qBag/M6oaw6uoqQwBCahjSlZ4OeLDywsMR9H3P2zgGgXZV2Bb4fEhhC29pt6R/Rn4gaEWyK31TiuI0xFZcllEKEB4ef1zc3rjyykqg6UfiID70b9CY+Nb7Ef+jj9sbRJrQNtfxqFVk2slYkW+K3lOg4xpiKzRJKIc7ne1ESUhPYmbiT6DrRAPRs0BOA3/YXf7TX8ZTjrD66mssaXeZW+cjQSA6cOkBiWmKxj2WMqdgsoRQiPDicxLRETqafLO9QPG71Uaf/JLpuNOAsfdwmtE2Jhg/P2z8PRYltFOtW+cjQSAC2nLCrFGPON5ZQCpEzdHh/0vnX7LXq6Cr8xI/2Ye1zt/Vq0IvVR1aTnJ5crLri9sZRr2o9Woe2dqt8ZC1LKMacryyhFCJ31uHzsNlr5ZGVtA5tTRW/KrnbejfsTaZmsuTQErfrSctKY8GBBcQ2ikVE3NonrEoYoUGh1jFvzHnIEkohztcrlIzsDNYdW5fb3JUjuk40Vf2qsuDAArfrWnxwMSmZKW43dwGICJG1Itkcv9ntfYwxlYMllELUCKhBjYAa590Vyub4zaRlpZ2VUPx9/Ym5KIb5++ejqm7VFbc3jqp+VYm5qHj3lESGRrI9Yft5P1eaMRcaSyjncD5OY7/yyEoAoupEnfVe74a92Z+8nz1Je4qsR1WZu3cuvRv2JsA3oFgxRIZGkp6dzq7EXcXazxhTsVlCOYeG1Rued1coq46son61+lxU7aKz3uvdoDfg3vDhDfEbOJJypFjNXTlyOuY3n7BmL2POJ5ZQziHn5sas7KzyDsUjVJVVR1ad1dyVo1GNRjQKbuRWP0rc3jh8xIc+DfsUO46IkAgCfAKsH8WY84wllHNoE9qGzOzijXyqyA6eOsiRlCO5NzQWpFeDXiw5tISMrHP3b8TtjSO6TjS1goq+Oz4/fx9/mtdsbgnFmPOMJZRz6Nu4L7UCazFl05QyOd6Kwyv4x4F/cPT0Ua/Un7P+Sae6nQot07tBb1IyU3L7WgpyMPkgm+I3lai5K0dkaCSbT2x2ewCAMabis4RyDoG+gVzf8nri9sVx6JR3F9tSVV5d9ioHMw7y1bavvHKMlUdWUsWvCi1rtSy0TEz9GPzE75x3zc/dNxegVAmldWhr4lPjOZZyrMR1GGMqFksoRRjaaiiqyuebP/fqcebum8vaY2sJkiBmbJvhlVUPVx9dTcc6HfHzKXzVgmr+1YiuG33Ojvm4vXFE1IigaUjTEsfSqlYrwDrmjTmfWEIpQnhwOJeEX8KXW78kPSvdK8fI1mzeXvU2jYIbcUPoDexN2svyw8s9eoxTGafYfGLzOftPcvRu2JvNJzYXePWQnJ7M4kOLS3V1AnkSivWjGHPesITihmGthxGfGs9Pu3/ySv2/7PmFTfGbGBU1is5VO1PdvzrTt0736DHWHltLtmafs/8kR87w4YJGey04sIDM7MxSJ5SQwBAaVGtgCcWY84glFDf0atCLxsGNvdI5n5Wdxdsr36ZpSFOuaXoNAT4BXNP0Gn7a/ZNHZzpeeWQlgtChTociy0aGRhIaFFpgs1fc3jhCAkMKvDGyuFqFtrImL2POI15NKCJylYhsFpFtIvJEAe8HishU1/uLRSQiz3tjXds3i0h/17ZGIjJHRDaIyHoReThP+WdEZL+IrHI9rvHU5/ARH26KvIlVR1d5fFLDH3b9wPbE7TwQ/QC+Pr4ADGk5hLSsNL7f8b3HjrP6yGqa12xOjYAaRZb1ER96Neh11iqOmdmZ/Lr/Vy5peMk5+2Hc1Tq0NbtO7iI1M7XUdRljyp/XEoqI+AJvA1cDbYFbRKRtvmJ3AydUtQXwOvCSa9+2wDCgHXAV8F9XfZnAn1W1LdADeDBfna+rarTr8Z0nP891La4jyDfIo1cpmdmZjFs9jla1WnFlkytzt7et3ZZWtVoxfZtnmr2yNZvVR1e71dyVo1eDXpxIO8HG+I2521YfXU1iWmKpm7tyRNaKJFuz2ZawzSP1GWPKlzevUGKAbaq6Q1XTgSnA4HxlBgOTXc+/APqJMw/6YGCKqqap6k5gGxCjqgdVdQWAqiYBG4GGXvwMuUICQ7im2TV8t/M7jzVFfb39a3af3M2D0Q/iI7//KESEIS2HsOH4Bo/0MWxL2EZyRnKhd8gXpFeDXgAs2P97P0rc3jj8ffzp3bB3qWOCPFOwWD+KMeeF0rdbFK4hsDfP631A98LKqGqmiCQCtV3bF+Xb94zE4Woe6wQszrN5tIjcASzDuZI5kT8oEbkPuA+gXr16xMXFuf2BWqS1ICUzhdd+eI3Lari35G1hMjWTN/a/QeOAxsh2IW6HE0dycjJxcXHUzKqJH378J+4/3Bh6Y6mONT9pPgBpO9KI2xvn9n7hAeF8u+FbWsY79618t/87WgS0YOlvSwssnxO7u7I1myAJ4pd1v1D7QG239/OG4sZekVjs5aOyxu7VuFXVKw/gRuC9PK9vB97KV2YdEJ7n9XYgDHgLGJ5n+/vAjXleVweWA0PybKsH+OJcdb0AfFBUjF26dNHiuvXbW3XA9AGalZ1V7H3zmrppqraf1F7n7Zt3xvY5c+bkPv9L3F+016e9NDUztVTHGvvrWL1kyiWanZ1drP3eWP6GRk+O1qS0JN2RsEPbT2qvn278tNDyeWN31+3f3a53fHdHsffztJLEXlFY7OWjssbuibiBZVrA31RvNnntBxrleR3u2lZgGRHxA0KA4+faV0T8gS+BT1Q1t5NBVQ+rapaqZgMTcJrcPG5Y5DB2n9zNooOLii5ciLSsNN5d8y7RdaJzh+gW5PqW13My/SSz98wu8bHAWfK3U91Obq+qmKNXg15kaiaLDy3OvbKJDY8tVSz5tarljPTyxo2cxpiy5c2EshRoKSJNRSQAp5N9Zr4yM4ERruc3ArNd2W8mMMw1Cqwp0BJY4upfeR/YqKr/yluRiNTP8/J6nKsfj+sf0Z/QoNBSdc5P2zyNI6ePMLrT6HP+ke9RvwcNqjUo1T0px1KOsTdpr1s3NOaXu4rj/gXE7Y2jdWhr6levX+R+xdE6tDWnMk6xP/n8WhnTmAuR1xKKqmYCo4FZOJ3nn6vqehF5TkQGuYq9D9QWkW3Ao8ATrn3XA58DG4AfgAdVNQvojdN01reA4cEvi8haEVkDXAY84o3PFeAbwJCWQ5i7by4Hkw8We/+UzBTeW/seMRfF0L1+/i6lM/mID9e1uI5FBxeV+A/u6iOrAYrVIZ/D39efmPoxzN47m1VHV3lsdFdeOR3zW+K3eLxuY0zZ8up9KKr6naq2UtXmqvqCa9tTqjrT9TxVVYeqagtVjVHVHXn2fcG1X6Sqfu/aNl9VRVU7ar7hwap6u6p2cL03SFWL/9feTTe1ugmAz7cUf36vKZumcDz1OKM7jXar/HUtrkOQEk8YueroKvx9/GlbO/+Ibff0btCbYynHyNZsrySUFrVa4CM+bDrh2ft7jDFlz+6UL4H61etzafilTN86vVjze53KOMUH6z6gd8Pebt8TUr96fXo26MlX274q0UJfK4+spF3tdsVepjdHTh9P3Sp1aRtasqR0LlX8qtCkRhMbOmzMecASSgkNi3Tm9/px949u7/Pxho9JSEtgdLR7Vyc5rm95PYdOHSr2QIC0rDQ2HN9QrBsa82tUoxEdwzoysPnAYnfquyuyViRbTliTlzGVnSWUEurRoAdNajRxu3M+MS2RyesnE9solvZh7Yt1rL6N+lIzsGaxO+c3HN9ARnYGUXVLN+/WJwM+4ZEuXumSApy5w/Yn7/fo3GWVWWZ2JidST3htoTVjvMWbNzae13zEh5sjb+blpS+z8fhG2tRuU2C50xmnWXZ4GdO2TCMpI6nYVyfgDAQY2GwgUzZP4UTqCbeX3c1ZobEkI7zKUt6O+a4XdS3naLxvZ+JOvtr2FYlpiZxMP8nJtJOcTD+Z+zo5Izm37LjLx3Fxw4vLMVpj3GdXKKUwuMVgqvhVYcrm369SsrKzWH9sPRPWTODOH+6k95TePPjLgyw6sIh7OtxDZGhkiY51XYvryMzO5Nsd37q9z6ojq2gc3JjaVcr3LvSi5JwTT888nJiWSP8v+jNj6wyP1lsa6VnpjP5lNB+u/5C5++ayPWE76dnp1K1aly71unBdi+t4IOoBnoh5gvrV6jNhzYTyDtkYt9kVSinUCKjBNU2v4dsd39KudjuWHFrCooOLSExLBJx7LG5vezu9GvSiU91OBPoGlvhYkaGRtKvdjunbpnNbm9uK7M9QVVYdXVUpvt3WqVKH0KBQj3fMT9k0hQOnDvDKsle4tNGlhAaFerT+kpi8fjJ7kvbwzuXvuDUn2otLXmTF4RV0rte5DKIzpnTsCqWUbml9C6lZqfx90d9ZeXgll4Zfyot9XiTupjimXTuNR7s8So/6PUqVTHIMaTmErSe2sv74+iLL7k3aS3xqfInuPylrIpJ7x7ynpGam8ummT2kT2oaUjBTeXPGmx+ouqQPJBxi/ZjyXN77crWQypOUQagXW4oN1H5RBdMaUniWUUooMjeSD/h8wY9AMfh76My9c/AIDmg3wSjPT1U2vJsg3yK3O+ZVHVgIVv/8kR2StSLad2EZmdqZH6vtq21fEp8bzeLfHuaXNLUzfOp31x4pOxN70ytJXAHi82+Nula/iV4Vb29zK3H1z2XpiqzdDM8YjLKF4QLeLutGiVguvDavNERwQzBVNruD7nd+TkplCtmZzIPkAC/Yv4NONn/LPxf/k/p/u56ovr+L/fvs/agTUoHnN5l6NyVMiQyNJz05nV+KuUteVmZ3JpPWT6FinI13qdWFU1ChCg0L5x5J/lNucYb/t/42f9/zMfR3vK9b0Nbe0voUqflWYuG6iF6MzxjOsD6WSub7l9Xy942uu++o6jqceJy0rLfe9qn5ViQiJoGOdjgxqPoge9Xucsc5KRZa3Y75FrRalquun3T+xP3k/j3V7DBEhOCCYR7o8wpO/PcnX279mcIv8y/J4V3pWOv9c8k+a1GjCiHYjit4hj5DAEG5sdSOfbvyU0Z1G06B6Ay9FaUzpWUKpZLrW68qg5oM4mX6SiBoRNKnRhCY1mhBRI4KwKmFev0rylqYhTfH38Wdz/GYGNBtQ4npUlQ/WfUBEjQgua/T7mjXXNr+Wz7d8zr+W/4u+jfsSHBDsibDdMnn9ZHaf3M07l79TohkL7mh7B59t+ozJ6ycztvtYL0RojGdYQqlkRIQXLn6hvMPwOH8ff1rUbFHqjvmFBxayKX4Tz/Z69oyrMx/x4a/d/8ot39zCuNXj3O7HKK3idsQX5KJqFzGw2UCmb53O/VH3u30fkjFlrXK0h5gLQqtardgUX7pJIj9Y/wF1q9RlYLOBZ73XrnY7hrQcwmcbP2N7wvZSHcddxe2IL8yd7e4kNcsZuWZMRWUJxVQYrUNbE58az7GUYyXaf/3x9Sw+uJjhbYcX2rT0UOeHqOJfhX8u+WfOSp9eU9KO+II0q9mMvo368unGTzmdcdpDERrjWZZQTIWR2zFfwhscP1j7AcH+wQxtNbTQMqFBofyx0x9ZfHAxP+/5uUTHcUdpOuILc1eHuziZfpIvt37pkfqM8TRLKKbCaFWrFUCJmr32nNzDz3t+5qbIm6geUP2cZYe2GkqrWq14ZekrpGSmlCjWouR0xI+NGVvipQPyi6oTRbeLujF5/WQysjI8Umd52ZGwg6cXPM3GlI3lHYrxIEsopsIICQyhfrX6JeqYn7R+Er7iy/C2w4ss6+fjx9iYsRw8dZD3175fklDP6WDywVJ3xBfmrvZ3cfj0Yb7d6f6cbhXJsZRj/H3h3xkycwjTt05n3JFxfLbps/IOy3iIJRRToUTWiiz2csDHUo7xv23/Y1DzQYRVCXNrn64XdeXqplczcd1E9ibtLUmohXp56ctA6TviC9K7QW8ia0XywboPyu0mzZJIyUxh/JrxDJg+gOlbp3NT5E38cMMPtKvSjn8s/gcvLXmpRAvIeVJGdgbf7PiGKZumVPorwPJiCcVUKK1CW7Hz5E5SM1Pd3ueTjZ+QkZ3ByHYji3WsP3f5M74+vrkjsTzBkx3xBRER7u5wNzsTdxK3N84jdWZmZ3Is5Rg7E3d6PEllazYzt8/k2hnX8p+V/6FH/R5MHzydv3b/Kw2rN+TeOvcyvM1wPt74MQ/PebhcBhyczjjNRxs+4prp1zB23lheWPwCt39/O7tP7i7zWCo7uw/FVCitQ1uTrdlsT9hOu7B2RZZPTk9m6qapXN7kciJCIop1rHrV6vGHjn/gjRVv0DisMRGJESjOyK+cf10vAMjUTBLTEjmReoKEtATiU+NJSEvIfX0i9QR7kvZ4tCO+IFc0uYLw6uG8v/b9M27eLMy2E9tYcWQFx1OPE58ST3zqmY+EtITcsu1qt2NMzJhSrfKZY/HBxby27DU2xm+kXe12vNjnxbPWu/ERH8bEjKFJjSb8c8k/GfHDCP7T9z9cVO2iUh+/KMdTjvPJxk+YunkqJ9NP0qVeF/6vx/+RnpXOMwufYejXQxkbM5brWlxXaW8YLmuWUEyFkrPY1qb4TW4llC+2fEFSRhJ3tb+rRMe7ve3tzNg2g8nHJjP5q8nF3r+6f3VqBtakVlAtwqqE0bJWS+5oe4fHOuIL4ufjx8h2I3l+8fMsO7yswDL7k/fz/c7v+W7nd2dMLFkzsCahQaGEBoXSomYL53mVUGoH1SYjO4MP1n3AHd/fwVURV/FIl0eKPdVLzrIJ7699n7n75lK/Wn1e7PMiVze9+pzTAA1rPYyG1Rvyl7l/4bZvb+Otfm8Vumhdae0+uZvJ6yfzv23/IyM7g36N+zGy/Uii6vy+smn7sPb8bf7feGrBU8zfP5+nej5FSGCIV+I5n1hCMRVKeHA4Vf2qsvjgYq5qehXV/KsVWjYjK4OPNnxEzEUxxV5WOUeAbwCTrprExF8m0rZtWwAE59to3m+lgiAiucmjVmAtagbWxN/Xv0THLa3BLQbz39X/5f117zPMbxjg9CXN2jWL73d+z+qjqwFntumxMWOJbRRLnap18Pc5d7zXt7ieiesnMnHdRObsncOIdiO4u/3dVPWves794lPj+Xr710zfOp0diTsI9nfmT7utzW1uL93QJ7wPH179IaNnj2bEDyN4+ZKXiW0U69a+RUlOT2b98fVM3TyVn3f/jL+PP4NaDGJE2xEFXtleVO0ixl8xnknrJ/HWyrdYc2wN/7z4nxfEiqKlYQnFVCg+4kOXel34ftf3/LT7J6LqRtG7QW96NehFm9ptzviW+82ObziScoTnej9XqmOGVQmjW/VuxDaLLWX0ZSfIL4jb297Ov1f8m9CaoXz646csPrSYbM2mVa1WPNz5Ya5uejUNqzcsVr1V/avyYPSDDGkxhDdWvMH4NeP5autXPNzlYQY2G3jG+c/WbBYdXMSXW75k9t7ZZGZnElUniud6PUf/iP5FJqGCRIZG8uk1nzJ69mgemv0Qj3d73K0F5fLGtD9pP5tPbGbLiS1sjt/M5hOb2Z+8H3Bm7L6nwz3c2ubWIgdw+Pr4cneHu+levztjfh3DXbPu4p4O9zAqelSRiflCJd6+W7gi69q1qy5bVnCTQXmJi4sjNja2vMMoEU/FnpGVwcojK/ntwG8sPLCQjfHOvQq1AmvRo0EPejXoRc/6Pbn3p3sJ8Alg2rXTSt3GXRnP+8n0k1z5xZWcyjhFePVwrml2Ddc0vcajSxasOrKKl5e+zNpja3P7V+pXq89X275ixtYZHDh1gJqBNbm2+bUMaTGk2DNFF3beT2ec5q/z/8ove36hS70uhASE4Ovji5/44evji4/44Ofjh6/44iu+ZGRnsD1hO1tObOF0ptOxLwhNajShVa1WRIZG0qpWK7pd1O2cV72FOZ1xmheXvMiMbTPoENaBl/q8xPYV2yvd7wx45nddRJar6lmXa3aFYiocf19/YurHEFM/hke6PMKxlGMsPLCQBQcWsODAAr7f+X1u2Rf7vHjBdpjWCKjBxP4TWbxsMSOuHOGV8xBdN5qPr/mYb3d8yxsr3uCO7+/AR3zI1mx61O/BI10eoW/jvh7vM6rqX5V/xf6Ld1a/Q9zeOJLSk8jKziJLs8jMziRLs8jKziJTnec++NA0pCmDmg8iMjSSyFqRNK/ZvERXSYXF81zv5+jdsDfPLnyWG7++kTtD7ySWWI/Uf76whGIqvLAqYVzb/FqubX4t2ZrNlhNbWHBgAfEp8fSP6F/e4ZWrNrXbcDjwsFeTqo/4cG3za+nXuB+fbfqM1KxUBjUfRKPgRl47Zs5xH4h+gAeiH/DqcYqjf0R/OoZ15OWlL9Mg29amyc8SiqlUfMSH1qGtaR3aurxDueBU9a/K3R3uLu8wyl396vV5/bLXiYuLK+9QKhy7sdEYY4xHWEIxxhjjEZZQjDHGeIQlFGOMMR5hCcUYY4xHWEIxxhjjEZZQjDHGeIQlFGOMMR5xQc/lJSJHgYq2ik4YcKy8gyghi718WOzlo7LG7om4m6hqnfwbL+iEUhGJyLKCJl2rDCz28mGxl4/KGrs347YmL2OMMR5hCcUYY4xHWEKpeMaXdwClYLGXD4u9fFTW2L0Wt/WhGGOM8Qi7QjHGGOMRllCMMcZ4hCWUCkREdonIWhFZJSIVa7H7fETkAxE5IiLr8mwLFZGfRGSr699a5RljYQqJ/RkR2e8696tE5JryjLEgItJIROaIyAYRWS8iD7u2V/jzfo7YK8N5DxKRJSKy2hX7s67tTUVksYhsE5GpIuLZdZA94ByxTxKRnXnOe7RHjmd9KBWHiOwCuqpqhb9ZSkQuAZKBD1W1vWvby0C8qr4oIk8AtVR1THnGWZBCYn8GSFbVV8sztnMRkfpAfVVdISLBwHLgOmAkFfy8nyP2m6j4512AaqqaLCL+wHzgYeBRYLqqThGRd4DVqjquPGPN7xyx3w98o6pfePJ4doViSkRVfwXi820eDEx2PZ+M8wejwikk9gpPVQ+q6grX8yRgI9CQSnDezxF7haeOZNdLf9dDgb5Azh/kinreC4vdKyyhVCwK/Cgiy0XkvvIOpgTqqepB1/NDQL3yDKYERovIGleTWIVrNspLRCKATsBiKtl5zxc7VILzLiK+IrIKOAL8BGwHElQ101VkHxU0QeaPXVVzzvsLrvP+uogEeuJYllAqlotVtTNwNfCgq2mmUlKnLbUytaeOA5oD0cBB4LVyjeYcRKQ68CXwJ1U9mfe9in7eC4i9Upx3Vc1S1WggHIgBWpdvRO7LH7uItAfG4nyGbkAo4JEmUksoFYiq7nf9ewSYgfOLW5kcdrWV57SZHynneNymqodd//GygQlU0HPvagf/EvhEVae7NleK815Q7JXlvOdQ1QRgDtATqCkifq63woH95RWXO/LEfpWrCVJVNQ2YiIfOuyWUCkJEqrk6KxGRasCVwLpz71XhzARGuJ6PAP5XjrEUS84fZJfrqYDn3tXB+j6wUVX/leetCn/eC4u9kpz3OiJS0/W8CnAFTh/QHOBGV7GKet4Lin1Tni8ggtP345HzbqO8KggRaYZzVQLgB3yqqi+UY0jnJCKfAbE4U2EfBp4GvgI+BxrjLAtwk6pWuM7vQmKPxWl2UWAX8Ic8/RIVgohcDMwD1gLZrs1/xemLqNDn/Ryx30LFP+8dcTrdfXG+hH+uqs+5/s9OwWkyWgkMd33jrzDOEftsoA4gwCrg/jyd9yU/niUUY4wxnmBNXsYYYzzCEooxxhiPsIRijDHGIyyhGGOM8QhLKMYYYzzCEooxlZSIxIrIN+UdhzE5LKEYY4zxCEsoxniZiAx3rUmxSkTedU3Wl+yalG+9iPwiInVcZaNFZJFr0r4ZOZMlikgLEfnZta7FChFp7qq+uoh8ISKbROQT153PxpQLSyjGeJGItAFuBnq7JujLAm4DqgHLVLUdMBfnbn2AD4ExqtoR567ynO2fAG+rahTQC2ciRXBm7f0T0BZoBvT28kcyplB+RRcxxpRCP6ALsNR18VAFZ/LGbGCqq8zHwHQRCQFqqupc1/bJwDTXHG8NVXUGgKqmArjqW6Kq+1yvVwEROIsoGVPmLKEY410CTFbVsWdsFPm/fOVKOgdS3rmjsrD/06YcWZOXMd71C3CjiNSF3PXfm+D838uZqfZWYL6qJgInRKSPa/vtwFzXCof7ROQ6Vx2BIlK1LD+EMe6wbzPGeJGqbhCRJ3FW4vQBMoAHgVM4ix09idMEdrNrlxHAO66EsQO407X9duBdEXnOVcfQMvwYxrjFZhs2phyISLKqVi/vOIzxJGvyMsYY4xF2hWKMMcYj7ArFGGOMR1hCMcYY4xGWUIwxxniEJRRjjDEeYQnFGGOMR/w/KcqSb9aaGYYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_comparison('transformer training', [model_tf_path, model_tf_path_dropout, model_tf_path_dropout_goal])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_comparison('rnn training', [model_rnn_path])\n",
    "draw_comparison('rnn training with destinations', [model_rnn_goal])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load unused data for testing\n",
    "# ratio = 1.0\n",
    "ratio = 0.001\n",
    "train_data, eval_data, test_data = parsing.load_processed_data(\"part1_days_08_to_10\", ratio=ratio)\n",
    "# combine train and eval data into test data\n",
    "test_data = parsing.unite_data( [train_data, eval_data] )\n",
    "train_data = None\n",
    "eval_data = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[408, 4553, 5064, 4723, 4358]\n"
     ]
    }
   ],
   "source": [
    "# generate some example predictions\n",
    "reload(visualization)\n",
    "save_figures = True\n",
    "random_index_amount = 5\n",
    "selections_per_index = 2\n",
    "\n",
    "example_amount = test_data[0].shape[0]\n",
    "choice_indices = [random.randint(0, example_amount-1) for _ in range(random_index_amount)]\n",
    "\n",
    "print(choice_indices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Goal (4, 2): 1.00\n"
     ]
    },
    {
     "data": {
      "image/png": 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K4u11Z1SnUkn6YOratSsjRoyodhk1pbGx8T0dUVdbVYM+pfSZzSxPwNntVI4kSdmp9bvuJUnSFjDoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpY1UN+oiYEBFPRMRTEXFBK2NOjIg5ETE7Im5u7xolSerIulRrxxHRGZgMHAE0AdMjYmpKaU7ZmN2AfwEOTCm9EhE7VqdaSZI6pmoe0Y8DnkopzU8pvQlMASZuNOYLwOSU0isAKaUl7VyjJEkdWjWDfjDwXNl0U2leud2B3SPijxExLSImtFt1kiRloGqn7ivUBdgNaACGAL+LiL1TSsvLB0XEWcBZAAMHDqSxsbF9q6xAc3NzTdZVa+xTZexT5exVZexT5Tpar6oZ9M8DQ8umh5TmlWsC/pxSWgMsiIh5FME/vXxQSulq4GqA+vr61NDQsLVqft8aGxupxbpqjX2qjH2qnL2qjH2qXEfrVTVP3U8HdouIERHRDfg0MHWjMXdSHM0TEQMoTuXPb8caJUnq0KoW9CmltcA5wD3AXODnKaXZEXFxRBxTGnYPsCwi5gC/Bb6SUlpWnYolSep4qnqNPqV0F3DXRvO+XvY8AeeXHpIk6T3yk/EkScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljVQ36iJgQEU9ExFMRcUELy8+PiDkRMSsi7o+IYdWoU5KkjqpqQR8RnYHJwFHAXsBnImKvjYY9CtSnlEYDtwHfbd8qJUnq2Kp5RD8OeCqlND+l9CYwBZhYPiCl9NuU0qrS5DRgSDvXKElSh1bNoB8MPFc23VSa15ozgbu3akWSJGUmUkrV2XHE8cCElNLnS9OfA/ZPKZ3TwthTgHOAQ1JKb7Sw/CzgLICBAweOnTJlylat/f1obm6mV69e1S6j5tmnytinytmryrz88su88ca7fr2qBb17966576lDDz10RkqpvqVlXdq7mDLPA0PLpoeU5r1DRIwHLqSVkAdIKV0NXA1QX1+fGhoa2rzYLdXY2Egt1lVr7FNl7FPl7FVlbrnlFubNm1ftMjqEQw45pEN9T1Xz1P10YLeIGBER3YBPA1PLB0TEGOBHwDEppSVVqFGSpA6takGfUlpLcTr+HmAu8POU0uyIuDgijikN+x7QC/iviJgZEVNb2ZwkSWpBNU/dk1K6C7hro3lfL3s+vt2LkiQpI34yniRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKWJdqFyDpg2n56uU8uuhRlq5ayiurX+FPTX/iwYUPMmrHUQzrM4zDdzmcxc2L+VCfD7HijRWsfGMl43cZz4jtR1S7dKlDMeglbXUpJWa/NJs/PPsH/vL8X5jWNI25S+e+Y0zfHn0BeGDBA7y25jUmTZ/0ru18YtdP8OtTft0eJUvZMOglbbGbboILL4Rnn4UPfQi+/W04+WRY8MoCbptzGz+b9TMeW/IYAAO2GcC4weP47N6fZdzgcQzqPYg+3fuwU6+d6Nq5KwAPPfcQLza/yK7b78qqNavo06MPV06/kqtmXMXLr79Mv579qvnlSh2KQS+pRSnB449DBOy6K3Tt2vK4m26Cs86CVauK6WeefYt/nHQdFz73nzzzxqMAjBs8jslHT+bo3Y5mWJ9hRMQm9/2xoR9717xT9zmVSdMnMfWJqZxed/qWfGnSB8pmgz4izgVuTCm90g71SKqyFSvg+uvh6qthzpxiXs+eMHYsDB0KAwdC377QpUsx9sor3w55ur4GZxzCm4NmsOj5ffneZ77HcXsexy7b77LFddUPqmdYn2HcNuc2g156Dyo5oh8ITI+IR4CfAPeklNLWLUvS1vTaa/Dzn8O8efDqq8XjlVdg0aLiKH7VKhg3rgjxbbeFGTOKx1/+Ai++WKwP0L07vPFG2YbXbAvPHAQP/W/enP1pvvzDTR+5vxcRwfF7Hc8Vf76CFatX0KdHnzbbtpSzzQZ9SunfIuJrwJHAGcCkiPg58OOU0tNbu0BJm/fqq3DffTB1ahHen/oUjBoF/fsXjx13hJUrYdYs+PWv4cYbi3W6doXttiseffrAoEFw4IFw+umw775vb/9zn3vn/tatg7Vri/VHjIBnnilbeM8PABg2rO2/zuP3Op7L/nQZ/zj1H7nsyMsY3nd42+9EykxF1+hTSikiXgReBNYC2wO3RcS9KaX/szULlNSyZ5+F22+HO++Ehx4qgrdv3yJ4L7yw9fW6dYMTToAvfQk+9rHiGvx71alTsR0obrwrv0YPsM02xfy2tv/g/bnokIu45I+X8Kt5v+LEkSfy2VGfZfwu4zfcyNeeVr6xkhdWvsCC5Qu456l7WLVmFRFB5+jMbv13Y//B+zNqx1H07t673WuT1qvkGv3/C5wKLAWuBb6SUloTEZ2AJwGDXtlbvrwI0u7di0fXru8vIDdn/vzitHjv3sUR9nbbQefOxdH4HXfA7NmwejX85jf78vjjxTqjR8NXvgITJsBHP1rU9tJLxVH2smWwdCksWVKcgt9rr+Jae8+ebVfzyScX/7Z0131biwi+0fANztz3TL79u28zZfYUbpx1I/179ufs/c7m64d8nc6dOrf5flNKPLPiGWa8MIM/Nf2Jvy7+K3NemsMLK1/YMKZnl5706dGHdWkda95awyur376tacA2A9ij/x587eCvMX6X8XTu1Jk1b61h9kuz+e2C3/KrJ3/FopWL6Nq5KwO2GcDu/XbngCEH8Hd7/J3vMNAWq+SIvh9wXEqp/OQcKaV1EfGprVOWVF1r18Kf/wx33QV33w2PPvruMT17vh3GffoUp8fHjSuOkvffvwjr92LyZDjnnHfP79KluAP+rbeKo+ju3WHwYPj3f4fjj4cPf/jd6+ywQ/FoLyefvHWCvTVDthvClZ+6kssnXM49T9/DdTOv4+LfXcxfF/+VG4694X1dv3+x+UXmLZvHyjdWMv+V+Tyx7AkWv7aYJa8tYdbiWSxfvRyA7p27s/fAvTlilyP4yICPMHS7oQzqPYj9h+zPNl232bC9F1a+wF+e/wtPLH2C+a/M574F9zHhpgn06d6HUTuO4tEXH2XVmuI0yOiBo9lrh71Yu24tS15bwk2P3cRVM66iZ5eenLz3yZy575nsuv2u7LBtO/6nKhuVXKP/xiaWzW1tmdQRNTfDNdfA978PTU3F0fSBB8K3vlWE+RtvvP1Ytaq4zr1iRfFYuLB4YZBScWp7r72K4N9vv+Lfurpi/sYWL4Zbb4X/9b/gyCPh858v6lixotj+G28UZw+OPro4Yo+AxsZHaGhoaOfu1J7uXbpzzB7HcMwex/DDP/+Q8+45j4GXDuTIXY/k2I8cy/6D9+et9BYAa9etpfnNZjpHZzpFJ9aldbyw8gWmPjGVOx6/g2lN00i8fZ/xdt23Y3DvwfTfpj+fHvlp6naq2/Do3qX7Zmsb1HsQx37k2A3Tq9as4hdzf8Hvn/k9f37+zxy353Ec/eGjqR9Uz4f7ffgdbzlcl9bx6KJH+dGMH3HjrBu59tFrARi781gOHHog++y0D52iE2vXraV/z/5M+PAEenZtw9M0yorvo9cHxvr3irR0yn3JErjiCvjP/yzuPj/kELj0UvjEJ4rr3pVasaI4E/DQQ8Ud6lOnwk9+Uiw7+GD48Y/fPgJ//nn45jeLeWvXwgEHwC9+UZxi13t37v7n8rGhH+PGWTdy+9zb+eW8XwLQvVN3+j3Sj8WvLWZdWtfiuvvuvC8XH3oxBww5gF7dejG873AGbjtws+/3fy+26boNp4w+hVNGn7LZsZ2iE2MHjeXqQVfznfHf4d759zJv2TzuX3A/1zxyDa+vff0d4/t078NnRn2GK466oir3Kqi2GfTq0J58En72M5g2rXh/d//+xSnz3r2hV68i1O+/Hxobi+vsO+0Ee+xRXMPebrvifeFdusBttxVHzsceC1/9anHq/f3o06c4Kj/yyGI6peJI/+674V//Ffbeu7izfeVKePnl4gj/C18obmbbZ5+tc93/g2TsoLGMHTSW73/i+8x5aQ6PLHqEqdOnst0O2zF4u8H07dGXdWkd69I6OkUntu+xPYfvcnhN372/fc/tOXHkiQD828H/xpq31vDsimfpFJ3o3Kkz85bN44a/3sDcpXMNebXIoFeH9MtfFjen3XILvPlmcUPavHlFeDY3v330DkWwHnMM7LwzPPZYcYPaiBHFafHp04vpU06BL3+5eBHQliKKff3TP8HEicUlgObm4kVI//5w5pnFcrWtiGDkjiMZueNIhr4yNKvLHF07d2XXfrtumP5Qnw8xfpfx+PEmao1Brw5pwYLievi++xYf/DJ48NvLUiqunzc3F0fpQ4fWxpHy4MHFB9BIW0NbXmZQXgx6dUj//M/FoyURxXVur3VLErRwD7AkScqFQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZawqQR8R/SLi3oh4svTv9i2MqYuIP0XE7IiYFREnVaNWSZI6smod0V8A3J9S2g24vzS9sVXAqSmlkcAE4PKI6Nt+JUqS1PFVK+gnAjeUnt8AHLvxgJTSvJTSk6XnLwBLgB3aq0BJknJQraAfmFJaVHr+IjBwU4MjYhzQDXh6axcmSVJOIqW0dTYccR+wUwuLLgRuSCn1LRv7SkrpXdfpS8t2BhqB01JK01oZcxZwFsDAgQPHTpkyZcuK3wqam5vp1atXtcuoefapMvapcvaqMvapcrXYq0MPPXRGSqm+pWVbLeg3JSKeABpSSovWB3lKaY8Wxm1HEfL/f0rptkq2XV9fnx5++OE2rbctNDY20tDQUO0yap59qox9qpy9qox9qlwt9ioiWg36ap26nwqcVnp+GvDfGw+IiG7AHcBPKw15SZL0TtUK+kuAIyLiSWB8aZqIqI+Ia0tjTgQOBk6PiJmlR11VqpUkqYPqUo2dppSWAYe3MP9h4POl5zcCN7ZzaZIkZcVPxpMkKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIxVJegjol9E3BsRT5b+3b6VcR+KiN9ExNyImBMRw9u5VEmSOrRqHdFfANyfUtoNuL803ZKfAt9LKe0JjAOWtFN9kiRloVpBPxG4ofT8BuDYjQdExF5Al5TSvQAppeaU0qp2q1CSpAxUK+gHppQWlZ6/CAxsYczuwPKI+EVEPBoR34uIzu1XoiRJHV+klLbOhiPuA3ZqYdGFwA0ppb5lY19JKb3jOn1EHA/8GBgDPAvcCtyVUvpxC/s6CzgLYODAgWOnTJnSVl9Gm2lubqZXr17VLqPm2afK2KfK2avK2KfK1WKvDj300BkppfqWlnXZWjtNKY1vbVlELI6InVNKiyJiZ1q+9t4EzEwpzS+tcydwAEX4b7yvq4GrAerr61NDQ8OWfwFtrLGxkVqsq9bYp8rYp8rZq8rYp8p1tF5V69T9VOC00vPTgP9uYcx0oG9E7FCaPgyY0w61SZKUjWoF/SXAERHxJDC+NE1E1EfEtQAppbeALwP3R8RjQADXVKleSZI6pK126n5TUkrLgMNbmP8w8Pmy6XuB0e1YmiRJWfGT8SRJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGatK0EfECRExOyLWRUT9JsZNiIgnIuKpiLigPWuUJCkH1Tqi/xtwHPC71gZERGdgMnAUsBfwmYjYq33KkyQpD12qsdOU0lyAiNjUsHHAUyml+aWxU4CJwJytXqAkSZmo5Wv0g4HnyqabSvMkSVKFttoRfUTcB+zUwqILU0r/3cb7Ogs4C2DgwIE0Nja25ebbRHNzc03WVWvsU2XsU+XsVWXsU+U6Wq+2WtCnlMZv4SaeB4aWTQ8pzWtpX1cDVwPU19enhoaGLdx122tsbKQW66o19qky9qly9qoy9qlyHa1XtXzqfjqwW0SMiIhuwKeBqVWuSZKkDqVab6/7+4hoAj4K/E9E3FOaPygi7gJIKa0FzgHuAeYCP08pza5GvZIkdVTVuuv+DuCOFua/ABxdNn0XcFc7liZJUlZq+dS9JEnaQga9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSSJGXMoJckKWMGvSRJGTPoJUnKmEEvSVLGDHpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxgx6SZIyZtBLkpQxg16SpIwZ9JIkZcyglyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMRUqp2jW0qYh4CXim2nW0YACwtNpFdAD2qTL2qXL2qjL2qXK12KthKaUdWlqQXdDXqoh4OKVUX+06ap19qox9qpy9qox9qlxH65Wn7iVJyphBL0lSxgz69nN1tQvoIOxTZexT5exVZexT5TpUr7xGL0lSxjyilyQpYwb9VhIRJ0TE7IhYFxGt3p0ZERMi4omIeCoiLmjPGmtBRPSLiHsj4snSv9u3Mu5DEfGbiJgbEXMiYng7l1pVlfQpIuoi4k+l77tZEXFSNWqtls39LEXE+aXvnVkRcX9EDKtGndVWye+ciDix1KvZEXFze9dYCyLiJxGxJCL+1sryiIgrSn2cFRH7tneNlTLot56/AccBv2ttQER0BiYDRwF7AZ+JiL3ap7yacQFwf0ppN+D+0nRLfgp8L6W0JzAOWNJO9dWKSvq0Cjg1pTQSmABcHhF926/E6qnwZ+lRoD6lNBq4Dfhu+1ZZfZX0KSJ2A/4FOLD0vXRee9dZI66n+DlqzVHAbqXHWcCV7VDT+2LQbyUppbkppSc2M2wc8FRKaX5K6U1gCjBx61dXUyYCN5Se3wAcu/GA0i+iLimlewFSSs0ppVXtVmFt2GyfUkrzUkpPlp6/QPFiqMUP0MjQZn+WUkq/Lfu+mQYMaecaa0Elv3O+AExOKb0CkFL6oL2oBiCl9Dvg5U0MmQj8NBWmAX0jYuf2qe69MeirazDwXNl0U2neB8nAlNKi0vMXgYEtjNkdWB4Rv4iIRyPie6Ujkw+SSvq0QUSMA7oBT2/twmrEe/1ZOhO4e6tWVJsq6dPuwO4R8ceImBYRmzqq/SDrML+/u1S7gI4sIu4Ddmph0YUppf9u73pq1ab6VD6RUkoR0dLbQLoABwFjgGeBW4HTgR+3baXV1QZ9Wr+dnYGfAaellNa1bZUdX0ScAtQDh1S7lhrVheJ0dAPFWY/fRcTeKaXl1SxK759BvwVSSuO3cBPPA0PLpoeU5mVlU32KiMURsXNKaVEpoFo6TdgEzEwpzS+tcydwAJkFfRv0iYjYDvgfiheb07ZSqbWoop+liBhP8cLpkJTSG+1UWy2ppE9NwJ9TSmuABRExjyL4p7dPiR1Gh/n97an76poO7BYRIyKiG/BpYGqVa2pvU4HTSs9PA1o6EzKd4vrX+uvNhwFz2qG2WrLZPpW+h+6guG54WzvWVgs2+7MUEWOAHwHHfFCvO1PZ75w7KY7miYgBFKfy57djjR3FVODU0t33BwAryi6v1ZaUko+t8AD+nuKV8RvAYuCe0vxBwF1l444G5lFcS72w2nVXoU/9Ke4ifxK4D+hXml8PXFs27ghgFvAYxd2w3apde631CTgFWAPMLHvUVbv2duzRu36WgIspgp1S3xaX9WZqtWuu0T4F8H2KF9OPAZ+uds1V6tMtwKLSz1QTxX0dXwS+WNanyaU+Pkbxjo6q193Sw0/GkyQpY566lyQpYwa9JEkZM+glScqYQS9JUsYMekmSMmbQS5KUMYNekqSMGfSStkhE7Ff6e9w9ImLb0t8wH1XtuiQV/MAcSVssIr4F9AB6Ak0ppX+vckmSSgx6SVus9Lnp04HVwMdSSm9VuSRJJZ66l9QW+gO9gN4UR/aSaoRH9JK2WERMBaYAI4CdU0rnVLkkSSX+PXpJWyQiTgXWpJRujojOwEMRcVhK6YFq1ybJI3pJkrLmNXpJkjJm0EuSlDGDXpKkjBn0kiRlzKCXJCljBr0kSRkz6CVJyphBL0lSxv4vFe1j5Ri0LzkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Goal (3, 4): 1.00\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Goal (1, 4): 1.00\n"
     ]
    },
    {
     "data": {
      "image/png": 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F0kvrnqb08rpji0kqSRumLl26MHTo0KJj1JTm5ub3tEddtEKLPqX05fUsT8BJHRRHkqTs1PpV95Ik6QOw6CVJyphFL0lSxix6SZIyZtFLkpQxi16SpIxZ9JIkZcyilyQpYxa9JEkZs+glScqYRS9JUsYsekmSMmbRS5KUMYtekqSMWfSSJGXMopckKWMWvSRJGbPoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlzKKXJCljFr0kSRmz6CVJyphFL0lSxix6SZIyZtFLkpQxi16SpIxZ9JIkZcyilyQpYxa9JEkZs+glScqYRS9JUsYsekmSMmbRS5KUMYtekqSMWfSSJGXMopckKWMWvSRJGbPoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlzKKXJCljFr0kSRmz6CVJyphFL0lSxix6SZIyZtFLkpQxi16SpIxZ9JIkZcyilyQpYxa9JEkZs+glScqYRS9JUsYsekmSMmbRS5KUMYtekqSMWfSSJGXMopckKWOFFn1E7BcRT0TE0xExdi3rHBIRsyLi0Yi4sqMzSpJUzzoX9cQR0QmYAHwaaAGmRcSNKaVZFetsC5wBjEopvRYRWxaTVpKk+lTkHv0uwNMppWdTSsuBycCYNdb5OjAhpfQaQErplQ7OKElSXSuy6AcAcyqmW8rzKm0HbBcRD0TE1IjYr8PSSZKUgcIO3VepM7At0AQMBO6NiB1TSgsrV4qI44HjAfr160dzc3PHpqzC4sWLazJXrXGcquM4Vc+xqo7jVL16G6sii/5FYFDF9MDyvEotwIMppbeA5yLiSUrFP61ypZTSRGAiQGNjY2pqamqvzO9bc3MztZir1jhO1XGcqudYVcdxql69jVWRh+6nAdtGxNCI6AocBty4xjo3UNqbJyL6UjqU/2wHZpQkqa4VVvQppRXAycBtwGPAb1NKj0bEWRFxQHm124AFETELuBs4PaW0oJjEkiTVn0LP0aeUpgBT1pj33Yr7CTitfJMkSe+R74wnSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlzKKXJCljFr0kSRmz6CVJyphFL0lSxix6SZIyZtFLkpQxi16SpIxZ9JIkZcyilyQpYxa9JEkZs+glScqYRS9JUsYsekmSMmbRS5KUMYtekqSMWfSSJGXMopckKWMWvSRJGbPoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlzKKXVLj774dbbik6hZQni15SoVKC730PDjwQ/vjHotNI+bHoJRUqAn76U1ixwr16qT1Y9JIKt6rgTzih2BxSjix6SYWbOxc22wy2377oJFJ+LHpJhVu0CHr0KDqFlCeLXlLh5s2Dvn2LTiHlyaKXVLg5c2DrrYtOIeXJopdUuNdeg969i04h5cmil1S4BQugT5+iU0h5suglFSql0oV4zz9fdBIpTxa9pEJFwDbbwF13FZ1EypNFL6lQV18NU6fC175WdBIpTxa9pMLMnw9f/zrsthv84AdFp5HyZNFLKswll5TeLOfii6FLl6LTSHmy6CUVZuJEaGqCYcOKTiLly6KXVJg33oCBA4tOIeXNopdUmH79Sm+WI6n9WPSSCvPmm6VPrlu5sugkUr4sekmFOfNMeOghmDSp6CRSvix6SYU5/HAYMADuvrvoJFK+LHpJhYmAQYPgpZeKTiLly6KXVKihQ+HZZ4tOIeXLopdUqK23hpaW0ofbSGp7Fr2kQm21Fbz1VuntcCW1PYteUqGGDCl99fC91D4sekmFWlX0L7xQaAwpWxa9pEK9+Wbp6yabFJtDypVFL6lQq4p+442LzSHlyqKXVKhFi0pfu3cvNoeUK4teUqHmzSt9/fCHi80h5cqil1SoVZ9et+mmxeaQcmXRSyrURz5S+vrMM8XmkHJl0Usq1KBBpa++373UPgot+ojYLyKeiIinI2JsK8tPi4hZEfFwRNwZEYOLyCmp/fToUfq6cGGhMaRsFVb0EdEJmADsD+wAfDkidlhjtb8CjSmlEcC1wLkdm1JSe/uf/yl9HT682BxSrorco98FeDql9GxKaTkwGRhTuUJK6e6U0pLy5FRgYAdnlNSOUoLf/Q66dIERI4pOI+WpyKIfAMypmG4pz1ub44Bb2zWRpA51331w1VVw6qm+YY7UXjoXHaAaEXEE0AiMXsvy44HjAfr160dzc3PHhavS4sWLazJXrXGcqpPLOF155dbANuy++/00N69ol+fIZazam+NUvXobqyKL/kVgUMX0wPK8d4iIfYEzgdEppTdb21BKaSIwEaCxsTE1NTW1edgPqrm5mVrMVWscp+rkMk4//3np5XUHHLB7uz1HLmPV3hyn6tXbWBV56H4asG1EDI2IrsBhwI2VK0TESOAXwAEppVcKyCipnSxfDnfdBXvsUXQSKW+FFX1KaQVwMnAb8Bjw25TSoxFxVkQcUF7tR0AP4JqImBkRN65lc5LqzJQppZfUffGLRSeR8lboOfqU0hRgyhrzvltxf98ODyWpQ4wfD4MHw+c+V3QSKW++M56kQvTuXXo3vKlTi04i5c2il1SISZNgyJDSHv399xedRsqXRS+pEJtvXroYr39/+OxnYcaMohNJebLoJRVm4EC4/npYsgTuvrvoNFKeLHpJhXr88dLXT32q2BxSrix6SYV64AHo1g0aG4tOIuXJopdUqBUrSu9z37Vr0UmkPFn0kgq16abw+uulT7KT1PYsekmF6tmzVPJvvFF0EilPFr2kQj33XKnsu3UrOomUJ4teUqH+9CcYNQo618WHZkv1x6KXVKiXXoKhQ4tOIeXLopdUmJ/9DObPh+23LzqJlC+LXlIhrrgCvvnN0sfUnnhi0WmkfFn0kjrcM8/AccdBUxNceaXn56X2ZNFL6lBvvw2nnloq9yuu8Gp7qb1Z9JI6zNy58JnPwM03w1lnwVZbFZ1Iyp8HzCR1iNtvhyOOgEWL4JJL4Jhjik4kbRjco5fU7q64ovSZ81tsAdOnw7HHQkTRqaQNg3v0ktrVE0+Uin30aLjlFvjQh4pOJG1Y3KOX1K7OOKN0wd3VV1vyUhEsekntZsYMuP56OP102HLLotNIGyaLXlK7GT++9DG03/xm0UmkDZdFL6ldXH556XD9N75RKntJxbDoJbW5K68svXxur71Kr5eXVByLXlKb+tOf4MgjYc894cYbfec7qWgWvaQ2s3Rp6aV0gwaVSr5796ITSfJ19JLazI9/DE8+WXoXvJ49i04jCSx6SW3giitg7FhoaYFNNoF584pOJGkVi17SB3LFFXD88bBkSWl66dLSNMDhhxeXS1LJes/RR8QpEbF5R4SRVH/OPPN/S36VJUtK8yUVr5qL8foB0yLitxGxX4QfRSHpf73wAtBtYevzJRVuvUWfUvoOsC3wK+AY4KmI+GFEfKSds0mqA31GT4ZTh8A2t79j/tZbF5NH0jtV9fK6lFICXi7fVgCbA9dGxLntmE1SDVu2YhnfuOkbzG/6MhvNHwYLPrZ62Yc+BD/4QYHhJK1WzTn6b0bEDOBc4AFgx5TSicDOwJfaOZ+kGrQyreTI649k4kMT+faob3PJ6GYG99qaCBg8GCZO9EI8qVZUc9V9b+CglNLzlTNTSisj4gvtE0tSLfvP+/6Ta2ddy/hPj+f/fOr/AHD0EQWHktSq9RZ9Sul761j2WNvGkVTr/vLiXxh3zzgOG34Yp+12WtFxJK2Hb4ErqSr/WPYPDpx8ILv+cle2+NAWXLD/BfgiHKn2WfSS1uvtlW9zxp1n8Psnfs+Ze5zJX7/xV/p8qE/RsSRVwXfGk7Re5/35PC6cfiEnNp7I2XufXXQcSe+Be/SS1imlxMUPXczowaP578//d9FxJL1HFr2kdXpgzgM8/erTfHXkV4uOIul9sOglrdO5D5xLz649OWj7g4qOIul98By9pLW65clbuOnJmzh333Pp0bVH0XEkvQ/u0Utq1bIVyzjl1lPYvu/2fHPXbxYdR9L75B69pFZd8+g1PLfwOW49/Fa6dupadBxJ75N79JLeJaXEhGkT2Lb3tnz2I58tOo6kD8A9eknvcvFDF/Pgiw9y8T9f7LvfSXXOPXpJ7/DQ3If4t1v/jX2G7uNL6qQMWPSS3uHMu85k800256ovXcVG4a8Iqd75UyxptVeXvsodz97BkSOOZIvuWxQdR1IbsOglrXbD4zewYuUKDhl2SNFRJLURi14SULrSfuKMiXxk84+wc/+di44jqY141b0kAG59+lYefPFBLvr8RV5pL2XEopc2UG+9/RbXzrqWOa/P4eF5DzP5kckM6TWEYxqOKTqapDZk0UsbqLtn381XfvcVAHp07cHJu5zM2N3HsnHnjQtOJqktWfTSBurNFW8CcN+x9zFq0CgP10uZ8mI8aQO1qtg37rSxJS9lzKKXNlAbdyodon/z7TcLTiKpPVn00gZqky6bALD0raUFJ5HUnix6aQO1YMmCoiNI6gAWvbQBWplWcv6D5zOg5wBGDxlddBxJ7ciilzYwr7/5OqMuGUXz7GZO/9TpdO3UtehIktqRL6+TNjBj7xjLgy0PctmYyzhqp6OKjiOpnRWyRx8RvSPi9oh4qvx181bWaYiIP0fEoxHxcEQcWkRWKSf3Pn8vF06/kFN3PZWjG472ZXXSBqCoQ/djgTtTStsCd5an17QEOCqlNAzYDzg/Inp1XEQpP/9x938waNNBnL3X2UVHkdRBiir6McCk8v1JwIFrrpBSejKl9FT5/kvAK4AfkC29TzNfnsm9z9/LSZ84ie5duxcdR1IHKaro+6WU5pbvvwz0W9fKEbEL0BV4pr2DSTl66+23OO7G49jiQ1vwtY9/reg4kjpQpJTaZ8MRdwAfbmXRmcCklFKvinVfSym96zx9eVl/oBk4OqU0dS3rHA8cD9CvX7+dJ0+e/MHCt4PFixfTo0ePomPUPMepOu91nKbMncKPnvwR43YYx+gtNqyX0/k9VR3HqXq1OFZ77bXXjJRSY2vL2q3o1yUingCaUkpzVxV5Suljray3KaWS/2FK6dpqtt3Y2JimT5/epnnbQnNzM01NTUXHqHmOU3Xe6ziNvmw0Ly9+mcdPenyDuwDP76nqOE7Vq8Wxioi1Fn1Rh+5vBI4u3z8a+P2aK0REV+B64NfVlrykd3v9zde59/l7OWzYYRtcyUsqrujPAT4dEU8B+5aniYjGiPhleZ1DgD2BYyJiZvnWUEhaqY49Pv9xAEb2H1lwEklFKOQNc1JKC4B9Wpk/Hfha+f5vgN90cDQpO7MXzgZgm823KTaIpEL4FrjSBmLZimVFR5BUAIteytwvZvyC/j36M2yLYUVHkVQAi17K3PMLn2evoXv5JjnSBsqilzL21IKnmPP6HPps0qfoKJIKYtFLmUopcfKtJ9OtczfO2P2MouNIKogfUytl6s8tf+aPz/yR8z97Pv179i86jqSCuEcvZeqmJ26i80adOabhmKKjSCqQRS9l6uanbmaPrfdgs26bFR1FUoEseilD98y+h0deeYQv/tMXi44iqWAWvZSZlBJj7xzLVj238iNpJXkxnpSbqx+9mqktU5n4hYls0mWTouNIKph79FJGHmx5kK/f9HU+OeCTHDvy2KLjSKoBFr2UiacWPMVek/Ziy+5bct0h19F5Iw/YSbLopSysTCs5+96zWbpiKXcddRcDNh1QdCRJNcKil+pcSokTbj6Byx++nH/f/d8Z3Gtw0ZEk1RCLXqpz/z3tv7n4oYsZO2os39/7+0XHkVRjLHqpji1YsoCxd45lv4/uxw/2+QERUXQkSTXGopfq2Dn3n8Pi5Yv50ad/xEbhj7Okd/M3g1Snpr04jR9P/THHjTyO4VsOLzqOpBpl0Ut1aMXKFRx343H079Gf8z5zXtFxJNUwX2gr1aFrWq7hb6/8jRsOvcEPrZG0Tu7RS3XmudeeY9Lzk/jiP32RMf80pug4kmqcRS/VkZQS/zrlX+kUnfjZ/j8rOo6kOmDRS3XkmlnX8Ien/8BXh3yVgZsOLDqOpDpg0Ut14vmFz3PCzSfQuFUjBw44sOg4kuqERS/VgeVvL+eQaw/h7fQ2V33pKjpFp6IjSaoTFr1UB0677TT+8uJfuHTMpXy090eLjiOpjlj0Uo2749k7mDBtAqftehoHbX9Q0XEk1RmLXqpx37/3+wzoOYAf7vPDoqNIqkMWvVTDbnriJu55/h5O/9TpbNx546LjSKpDFr1Uo95Y/gYn33oyw7cczr9+4l+LjiOpTvkWuFINSilx4i0n8sI/XuD+Y++nS6cuRUeSVKfco5dq0A/v+yGXP3w5ZzWdxaitRxUdR1Ids+ilGnPhtAv5zt3f4YgRR/CdPb9TdBxJdc6il2rI62++zjf/8E32/+j+XHLAJURE0ZEk1TmLXqohdzx7B2+tfIuxu4/1vLykNmHRSzXi1aWv8n9v/79s1XMrdhu4W9FxJGXCq+6lGrBi5QoOu/Yw5rw+h+ajm92bl9RmLHqpBqSU2GbzbTh02KHsNsi9eUltx6KXakCXTl246AsXFR1DUoY8Ry9JUsYsekmSMmbRS5KUMYtekqSMWfSSJGXMopckKWMWvSRJGbPoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlzKKXJCljFr0kSRmz6CVJyphFL0lSxix6SZIyZtFLkpQxi16SpIxZ9JIkZcyilyQpYxa9JEkZK6ToI6J3RNweEU+Vv26+lvW2jog/RsRjETErIoZ0cFRJkupaUXv0Y4E7U0rbAneWp1vza+BHKaXtgV2AVzoonyRJWSiq6McAk8r3JwEHrrlCROwAdE4p3Q6QUlqcUlrSYQklScpAUUXfL6U0t3z/ZaBfK+tsByyMiN9FxF8j4kcR0anjIkqSVP8ipdQ+G464A/hwK4vOBCallHpVrPtaSukd5+kj4l+AXwEjgReAq4EpKaVftfJcxwPHA/Tr12/nyZMnt9U/o80sXryYHj16FB2j5r366qu8+eabRceoeT179vT7qUr+7FXHcapeLY7VXnvtNSOl1Njass7t9aQppX3Xtiwi5kVE/5TS3IjoT+vn3luAmSmlZ8uPuQHYlVL5r/lcE4GJAI2NjampqemD/wPaWHNzM7WYq9ZcddVVPPnkk0XHqHmjR4/2+6lK/uxVx3GqXr2NVVGH7m8Eji7fPxr4fSvrTAN6RcQW5em9gVkdkE2SpGwUVfTnAJ+OiKeAfcvTRERjRPwSIKX0NvAt4M6I+BsQwMUF5ZUkqS6126H7dUkpLQD2aWX+dOBrFdO3AyM6MJokSVnxnfEkScqYRS9JUsYsekmSMmbRS5KUMYtekqSMWfSSJGXMopckKWMWvSRJGbPoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlzKKXJCljFr0kSRmz6CVJyphFL0lSxix6SZIyZtFLkpQxi16SpIxZ9JIkZcyilyQpYxa9JEkZs+glScqYRS9JUsYsekmSMmbRS5KUMYtekqSMWfSSJGXMopckKWMWvSRJGbPoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlzKKXJCljFr0kSRmz6CVJyphFL0lSxix6SZIyZtFLkpQxi16SpIxZ9JIkZcyilyQpYxa9JEkZs+glScqYRS9JUsYsekmSMmbRS5KUMYtekqSMWfSSJGXMopckKWMWvSRJGbPoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlzKKXJCljFr0kSRkrpOgj4uCIeDQiVkZE4zrW2y8inoiIpyNibEdmlCQpB0Xt0T8CHATcu7YVIqITMAHYH9gB+HJE7NAx8SRJykPnIp40pfQYQESsa7VdgKdTSs+W150MjAFmtXtASZIyUcvn6AcAcyqmW8rzJElSldptjz4i7gA+3MqiM1NKv2/j5zoeOB6gX79+NDc3t+Xm28TixYtrMlet6dmzJ6NHjy46Rs3z+6l6jlV1HKfq1dtYtVvRp5T2/YCbeBEYVDE9sDyvteeaCEwEaGxsTE1NTR/wqdtec3MztZir1jhO1XGcqudYVcdxql69jVUtH7qfBmwbEUMjoitwGHBjwZkkSaorRb287osR0QLsBtwSEbeV528VEVMAUkorgJOB24DHgN+mlB4tIq8kSfWqqKvurweub2X+S8DnKqanAFM6MJokSVmp5UP3kiTpA7LoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlzKKXJCljFr0kSRmz6CVJyphFL0lSxix6SZIyZtFLkpQxi16SpIxZ9JIkZcyilyQpYxa9JEkZs+glScqYRS9JUsYsekmSMmbRS5KUMYtekqSMWfSSJGXMopckKWMWvSRJGbPoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRlLFJKRWdoUxHxd+D5onO0oi8wv+gQdcBxqo7jVD3HqjqOU/VqcawGp5S2aG1BdkVfqyJiekqpsegctc5xqo7jVD3HqjqOU/Xqbaw8dC9JUsYsekmSMmbRd5yJRQeoE45TdRyn6jlW1XGcqldXY+U5ekmSMuYevSRJGbPo20lEHBwRj0bEyohY69WZEbFfRDwREU9HxNiOzFgLIqJ3RNweEU+Vv26+lvW2jog/RsRjETErIoZ0cNRCVTNOEdEQEX8uf989HBGHFpG1KOv7WYqI08rfOw9HxJ0RMbiInEWr5ndORBxSHqtHI+LKjs5YCyLikoh4JSIeWcvyiIiflcfx4Yj4eEdnrJZF334eAQ4C7l3bChHRCZgA7A/sAHw5InbomHg1YyxwZ0ppW+DO8nRrfg38KKW0PbAL8EoH5asV1YzTEuColNIwYD/g/Ijo1XERi1Plz9JfgcaU0gjgWuDcjk1ZvGrGKSK2Bc4ARpW/l07t6Jw14jJKP0drsz+wbfl2PHBhB2R6Xyz6dpJSeiyl9MR6VtsFeDql9GxKaTkwGRjT/ulqyhhgUvn+JODANVco/yLqnFK6HSCltDiltKTDEtaG9Y5TSunJlNJT5fsvUfpjqNU30MjQen+WUkp3V3zfTAUGdnDGWlDN75yvAxNSSq8BpJQ2tD+qAUgp3Qu8uo5VxgC/TiVTgV4R0b9j0r03Fn2xBgBzKqZbyvM2JP1SSnPL918G+rWyznbAwoj4XUT8NSJ+VN4z2ZBUM06rRcQuQFfgmfYOViPe68/SccCt7ZqoNlUzTtsB20XEAxExNSLWtVe7Iaub39+diw5QzyLiDuDDrSw6M6X0+47OU6vWNU6VEymlFBGtvQykM7AHMBJ4AbgaOAb4VdsmLVYbjNOq7fQHLgeOTimtbNuU9S8ijgAagdFFZ6lRnSkdjm6idNTj3ojYMaW0sMhQev8s+g8gpbTvB9zEi8CgiumB5XlZWdc4RcS8iOifUppbLqjWDhO2ADNTSs+WH3MDsCuZFX0bjBMRsSlwC6U/Nqe2U9RaVNXPUkTsS+kPp9EppTc7KFstqWacWoAHU0pvAc9FxJOUin9ax0SsG3Xz+9tD98WaBmwbEUMjoitwGHBjwZk62o3A0eX7RwOtHQmZRun816rzzXsDszogWy1Z7ziVv4eup3Te8NoOzFYL1vuzFBEjgV8AB2yo552p7nfODZT25omIvpQO5T/bgRnrxY3AUeWr73cF/lFxeq22pJS8tcMN+CKlv4zfBOYBt5XnbwVMqVjvc8CTlM6lnll07gLGqQ+lq8ifAu4AepfnNwK/rFjv08DDwN8oXQ3btejstTZOwBHAW8DMiltD0dk7cIze9bMEnEWp2CmP27yKsbmx6Mw1Ok4B/JjSH9N/Aw4rOnNB43QVMLf8M9VC6bqOE4ATKsZpQnkc/0bpFR2F527t5jvjSZKUMQ/dS5KUMYtekqSMWfSSJGXMopckKWMWvSRJGbPoJUnKmEUvSVLGLHpJH0hEfKL8edzdIqJ7+TPMhxedS1KJb5gj6QOLiO8D3YBNgJaU0n8WHElSmUUv6QMrv2/6NGAZ8KmU0tsFR5JU5qF7SW2hD9AD6Elpz15SjXCPXtIHFhE3ApOBoUD/lNLJBUeSVObn0Uv6QCLiKOCtlNKVEdEJ+FNE7J1SuqvobJLco5ckKWueo5ckKWMWvSRJGbPoJUnKmEUvSVLGLHpJkjJm0UuSlDGLXpKkjFn0kiRl7P8Dbhs3DxjCijsAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Goal (1, 2): 1.00\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Goal (1, 2): 1.00\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# draw some general examples without predictions\n",
    "for i in choice_indices:\n",
    "    visualization.draw_path(\n",
    "        x = test_data[0][i],\n",
    "        ground_truth= test_data[2][i],\n",
    "        goal=test_data[1][i],\n",
    "        name=\"sequence example\",\n",
    "        save_file=f\"sequence_example_{i}\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Y/vr04IMP8txzzzFu3DjDvtKqm/Eyk+XLlzN27FimTp3a8OPaPejnAR+OiLnA/sBvM/PRFtckSa8YEydOpKenh9/85jetLqVtrFmzhtGjR7fkuUePHs3EiRM36jEtDfqI+CbQBYyPiB7gU8AIgMy8EJhP7Vfr7qP263WntKZSSXplGjFiBJMnT251GW2lu7t7o46oW62lQZ+Z793A9gROa1I5kiQVp93vupckSZvAoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIK1NOgj4vCIuCci7ouImf2MOTYi7oqIOyPiG82uUZKkoWx4q544IoYBc4DDgB5gQUTMy8y76sbsAvw9cEBmPhUR27amWkmShqZWHtHvB9yXmQ9k5nPAXGBarzEfBOZk5lMAmfl4k2uUJGlIa2XQ7wA8XLfcU62rtyuwa0T8JCJujYjDm1adJEkFaNmp+wYNB3YBuoCJwE0RsVdmrqgfFBEzgBkAEyZMoLu7u7lVNmDVqlVtWVe7sU+NsU+Ns1eNsU+NG2q9amXQPwLsWLc8sVpXrwf4n8x8HngwIn5JLfgX1A/KzIuAiwA6Ozuzq6trsGp+2bq7u2nHutqNfWqMfWqcvWqMfWrcUOtVK0/dLwB2iYjJETESeA8wr9eYq6kdzRMR46mdyn+giTVKkjSktSzoM/MF4MPAtcAS4FuZeWdEnB0RR1bDrgWWR8RdwI+Aj2Xm8tZULEnS0NPSa/SZOR+Y32vdJ+vmEzizmiRJ0kbyk/EkSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgLQ36iDg8Iu6JiPsiYmYf28+MiLsi4vaIuD4idm5FnZIkDVUtC/qIGAbMAY4AdgfeGxG79xr2M6AzM6cAVwDnNrdKSZKGtlYe0e8H3JeZD2Tmc8BcYFr9gMz8UWaurhZvBSY2uUZJkoa0Vgb9DsDDdcs91br+vB+4ZlArkiSpMMNbXUAjIuIEoBN4az/bZwAzACZMmEB3d3fzimvQqlWr2rKudmOfGmOfGmevGmOfGjfUetXKoH8E2LFueWK17o9ExKHAWcBbM/PZvnaUmRcBFwF0dnZmV1fXgBe7qbq7u2nHutqNfWqMfWqcvWqMfWrcUOtVK0/dLwB2iYjJETESeA8wr35AREwF/gM4MjMfb0GNkiQNaS0L+sx8AfgwcC2wBPhWZt4ZEWdHxJHVsM8CWwLfjojFETGvn91JkqQ+tPQafWbOB+b3WvfJuvlDm16UJEkF8ZPxJEkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvaQBsWABLFvW6iok9WbQS9pot9wCEbUps7Zuv/1gu+1q61asaGl5kuoY9JI22oUX/mF+s81q4V7vz/+8ufVI6p9BL2mjff7z69/+1FPNqUPShhn0kjbauHG1U/Z33glbb11bd9RRtev0d98NN9zQ0vIk1THoJb1su+8ON98MY8bAvHm16/RvfzvceGNt+08f/ikHXnIgtzx8C8dfeTzbfnZbcu1FfUlNMbzVBUga2n7+c3j+eXjxxdryr34FM2bU5s95egZ3PH4HB3zlgHXjNzt7M/JThr3ULBs8oo+I0yPi1c0oRtLQ84mzkjX7fBZOOhhO+HMYdw+rn32Ws86CK4+9ksNed9hLHvPbNb9tQaXSK1MjR/QTgAURcRvwFeDa9NybpMrDvwo4+Psw8acw/Dk4/U8BeGjFzhx4yTOM2GwEm4/YnNXPrwZgx612ZKtRW7WyZOkVZYNBn5n/EBH/CLwdOAWYHRHfAr6cmfcPdoGS2ttOO8FDX7sGXhgNU74O434JuRmb73wn7+jakmeef4atR23Nd+7+Dk+sfoKHn36YL/zPF1i6Yimbj9icg3Y+iLfs+BbGjBrT6pciFamha/SZmRHxGPAY8ALwauCKiLguM/9uMAuU1N7+5V9gxoxXsfoF4PYTANh8c7joAzB92h/G/fXUv+bTN32any/7OWdcewbDN6v9+PnXm/+Vjx/wcc459JwWVC+Vb4NBHxF/C5wIPAFcDHwsM5+PiM2AewGDXnoFmz699u9ZZ9VuxNtpp1r4r12/1v4T9+d7x3+PZ194lpseuok37/hmguCWh29hp613an7h0itEI0f02wBHZ+ZD9Ssz88WIeNfglCVpKJk+/aXB3p9Rw0dx2Ov/cINe/bykgdfINfpPrWfbkoEtR5IkDSQ/MEeSpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYC0J+ojYJiKui4h7q39f3ceYjoj4aUTcGRG3R8RxrahVkqShrFVH9DOB6zNzF+D6arm31cCJmbkHcDhwfkSMbV6JkiQNfa0K+mnAZdX8ZcBRvQdk5i8z895q/tfA48BrmlWgJEklaFXQT8jMR6v5x4AJ6xscEfsBI4H7B7swSZJKEpk5ODuO+CGwXR+bzgIuy8yxdWOfysyXXKevtm0PdAMnZeat/YyZAcwAmDBhwr5z587dtOIHwapVq9hyyy1bXUbbs0+NsU+Ns1eNsU+Na8deHXzwwYsys7OvbYMW9OsTEfcAXZn56Nogz8w39DFuK2oh/6+ZeUUj++7s7MyFCxcOaL0Dobu7m66urlaX0fbsU2PsU+PsVWPsU+PasVcR0W/Qt+rU/TzgpGr+JOC7vQdExEjgKuCrjYa8JEn6Y60K+nOAwyLiXuDQapmI6IyIi6sxxwIHASdHxOJq6mhJtZIkDVHDW/GkmbkceFsf6xcCH6jmvwZ8rcmlSZJUFD8ZT5Kkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCtaSoI+IbSLiuoi4t/r31f2M2ykifhARSyLiroiY1ORSJUka0lp1RD8TuD4zdwGur5b78lXgs5m5G7Af8HiT6pMkqQitCvppwGXV/GXAUb0HRMTuwPDMvA4gM1dl5uqmVShJUgFaFfQTMvPRav4xYEIfY3YFVkTEdyLiZxHx2YgY1rwSJUka+iIzB2fHET8Etutj01nAZZk5tm7sU5n5R9fpI+LdwJeBqcCvgMuB+Zn55T6eawYwA2DChAn7zp07d6BexoBZtWoVW265ZavLaHv2qTH2qXH2qjH2qXHt2KuDDz54UWZ29rVt+GA9aWYe2t+2iFgWEdtn5qMRsT19X3vvARZn5gPVY64G3kQt/Hs/10XARQCdnZ3Z1dW16S9ggHV3d9OOdbUb+9QY+9Q4e9UY+9S4odarVp26nwecVM2fBHy3jzELgLER8Zpq+RDgribUJklSMVoV9OcAh0XEvcCh1TIR0RkRFwNk5u+BjwLXR8QvgAC+1KJ6JUkakgbt1P36ZOZy4G19rF8IfKBu+TpgShNLkySpKH4yniRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYC0J+og4JiLujIgXI6JzPeMOj4h7IuK+iJjZzBolSSpBq47o7wCOBm7qb0BEDAPmAEcAuwPvjYjdm1OeJEllGN6KJ83MJQARsb5h+wH3ZeYD1di5wDTgrkEvUJKkQrTzNfodgIfrlnuqdZIkqUGDdkQfET8Etutj01mZ+d0Bfq4ZwAyACRMm0N3dPZC7HxCrVq1qy7rajX1qjH1qnL1qjH1q3FDr1aAFfWYeuom7eATYsW55YrWur+e6CLgIoLOzM7u6ujbxqQded3c37VhXu7FPjbFPjbNXjbFPjRtqvWrnU/cLgF0iYnJEjATeA8xrcU2SJA0prfr1ur+MiB7gzcD3I+Laav1rI2I+QGa+AHwYuBZYAnwrM+9sRb2SJA1Vrbrr/irgqj7W/xp4R93yfGB+E0uTJKko7XzqXpIkbSKDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glSSqYQS9JUsEMekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLBDHpJkgpm0EuSVDCDXpKkghn0kiQVzKCXJKlgBr0kSQUz6CVJKphBL0lSwSIzW13DgIqI3wAPtbqOPowHnmh1EUOAfWqMfWqcvWqMfWpcO/Zq58x8TV8bigv6dhURCzOzs9V1tDv71Bj71Dh71Rj71Lih1itP3UuSVDCDXpKkghn0zXNRqwsYIuxTY+xT4+xVY+xT44ZUr7xGL0lSwTyilySpYAb9IImIYyLizoh4MSL6vTszIg6PiHsi4r6ImNnMGttBRGwTEddFxL3Vv6/uZ9xOEfGDiFgSEXdFxKQml9pSjfQpIjoi4qfV193tEXFcK2ptlQ19L0XEmdXXzu0RcX1E7NyKOlutkZ85EXFs1as7I+Ibza6xHUTEVyLi8Yi4o5/tERFfqPp4e0Ts0+waG2XQD547gKOBm/obEBHDgDnAEcDuwHsjYvfmlNc2ZgLXZ+YuwPXVcl++Cnw2M3cD9gMeb1J97aKRPq0GTszMPYDDgfMjYmzzSmydBr+XfgZ0ZuYU4Arg3OZW2XqN9CkidgH+Hjig+lo6o9l1tolLqX0f9ecIYJdqmgFc0ISaXhaDfpBk5pLMvGcDw/YD7svMBzLzOWAuMG3wq2sr04DLqvnLgKN6D6h+EA3PzOsAMnNVZq5uWoXtYYN9ysxfZua91fyvqb0Z6vMDNAq0we+lzPxR3dfNrcDEJtfYDhr5mfNBYE5mPgWQma+0N9UAZOZNwJPrGTIN+GrW3AqMjYjtm1PdxjHoW2sH4OG65Z5q3SvJhMx8tJp/DJjQx5hdgRUR8Z2I+FlEfLY6MnklaaRP60TEfsBI4P7BLqxNbOz30vuBawa1ovbUSJ92BXaNiJ9ExK0Rsb6j2leyIfPze3irCxjKIuKHwHZ9bDorM7/b7Hra1fr6VL+QmRkRff0ayHDgQGAq8CvgcuBk4MsDW2lrDUCf1u5ne+A/gZMy88WBrXLoi4gTgE7gra2upU0Np3Y6uovaWY+bImKvzFzRyqL08hn0myAzD93EXTwC7Fi3PLFaV5T19SkilkXE9pn5aBVQfZ0m7AEWZ+YD1WOuBt5EYUE/AH0iIrYCvk/tzeatg1RqO2roeykiDqX2xumtmflsk2prJ430qQf4n8x8HngwIn5JLfgXNKfEIWPI/Pz21H1rLQB2iYjJETESeA8wr8U1Nds84KRq/iSgrzMhC6hd/1p7vfkQ4K4m1NZONtin6mvoKmrXDa9oYm3tYIPfSxExFfgP4MhX6nVnGvuZczW1o3kiYjy1U/kPNLHGoWIecGJ19/2bgN/WXV5rL5npNAgT8JfU3hk/CywDrq3WvxaYXzfuHcAvqV1LPavVdbegT+Oo3UV+L/BDYJtqfSdwcd24w4DbgV9Quxt2ZKtrb7c+AScAzwOL66aOVtfexB695HsJOJtasFP1bVldb+a1uuY27VMA/5fam+lfAO9pdc0t6tM3gUer76keavd1nAqcWtenOVUff0HtNzpaXndfk5+MJ0lSwTx1L0lSwQx6SZIKZtBLklQwg16SpIIZ9JIkFcyglySpYAa9JEkFM+glbZKIeGP197hHR8QW1d8w37PVdUmq8QNzJG2yiPhnYDTwKqAnM/+txSVJqhj0kjZZ9bnpC4A1wFsy8/ctLklSxVP3kgbCOGBLYAy1I3tJbcIjekmbLCLmAXOBycD2mfnhFpckqeLfo5e0SSLiROD5zPxGRAwDbomIQzLzhlbXJskjekmSiuY1ekmSCmbQS5JUMINekqSCGfSSJBXMoJckqWAGvSRJBTPoJUkqmEEvSVLB/j98ADzjwtXquQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cnn path\n",
    "m = model_path.ModelPath(uses_goal=False)\n",
    "m.load('path_cnn_a')\n",
    "m = None\n",
    "for i in choice_indices:\n",
    "    visualization.draw_path_batch(\n",
    "        name=\"cnn\",\n",
    "        x=test_data[0],\n",
    "        ground_truth=test_data[2],\n",
    "        prediction_model=m,\n",
    "        skip=i,\n",
    "        n=selections_per_index,\n",
    "        # save=save_figures,\n",
    "    )\n",
    "\n",
    "\n",
    "    # draw_path(x, ground_truth, predictions=None, goal=None, name=None, min_goal_percent=0.05, legend=True):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# cnn goal\n",
    "m = model_path.ModelPath(uses_goal=True)\n",
    "m.load('path_cnn_goal_a')\n",
    "m = None\n",
    "for i in choice_indices:\n",
    "    visualization.draw_path_batch(\n",
    "        name=\"cnn with destinations\",\n",
    "        x=test_data[0],\n",
    "        ground_truth=test_data[2],\n",
    "        goals=test_data[1],\n",
    "        prediction_model=m,\n",
    "        skip=i,\n",
    "        n=selections_per_index,\n",
    "        save=save_figures,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# transformer\n",
    "m = model_path.ModelPath(uses_goal=False)\n",
    "m.load('path_transformerk_l')\n",
    "m = None\n",
    "for i in choice_indices:\n",
    "    visualization.draw_path_batch(\n",
    "        name=\"transformer\",\n",
    "        x=test_data[0],\n",
    "        ground_truth=test_data[2],\n",
    "        prediction_model=m,\n",
    "        skip=i,\n",
    "        n=selections_per_index,\n",
    "        save=save_figures,\n",
    "        conflux_strength=2.5,\n",
    "        cs=80\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_vals = [5, 20, 50]\n",
    "mde_dicts = {}\n",
    "fde_dicts = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/2: 0:5000\n",
      "2/2: 5000:5270\n"
     ]
    }
   ],
   "source": [
    "# generate goal estimates\n",
    "\n",
    "m = model_goal.ModelGoal()\n",
    "m.load('goal_inception_e')\n",
    "goals_estimations = m.estimate(test_data, batch_limit=5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['path_cnn_droput_a', 'path_transformerk_dropout_a', 'path_transformerk_goal_dropout_a', 'path_cnn_goal_dropout_a', 'path_cnn_a', 'path_cnn_goal_a', 'path_transformerk_l', 'path_cnn_goal_a_estimate', 'path_cnn_goal_dropout_a_estimate', 'path_transformerk_goal_dropout_a_estimate']) dict_keys(['path_cnn_droput_a', 'path_transformerk_dropout_a', 'path_transformerk_goal_dropout_a', 'path_cnn_goal_dropout_a', 'path_cnn_a', 'path_cnn_goal_a', 'path_transformerk_l', 'path_cnn_goal_a_estimate', 'path_cnn_goal_dropout_a_estimate', 'path_transformerk_goal_dropout_a_estimate'])\n",
      "5270 5270\n"
     ]
    }
   ],
   "source": [
    "print(mde_dicts.keys(), fde_dicts.keys())\n",
    "print(len(mde_dicts['path_cnn_a']), len(fde_dicts['path_cnn_a']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [00:53<00:00, 97.62it/s] \n"
     ]
    }
   ],
   "source": [
    "# generate geometric metrics for simple cnn\n",
    "data_length = test_data[0].shape[0]\n",
    "\n",
    "model_name = 'path_cnn_a'\n",
    "mde_dicts[model_name] = []\n",
    "fde_dicts[model_name] = []\n",
    "m = model_path.ModelPath(uses_goal=False)\n",
    "m.load(model_name)\n",
    "for i in tqdm(range(data_length)):\n",
    "    input_path = test_data[0][i]\n",
    "    gt_path = test_data[2][i]\n",
    "    mde, fde = m.metrics_geometric(x=input_path, ground_truth=gt_path)\n",
    "    mde_dicts[model_name].append(mde)\n",
    "    fde_dicts[model_name].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [00:52<00:00, 99.99it/s] \n"
     ]
    }
   ],
   "source": [
    "# generate geometric metrics for goal cnn\n",
    "model_name = 'path_cnn_goal_a'\n",
    "mde_dicts[model_name] = []\n",
    "fde_dicts[model_name] = []\n",
    "m = model_path.ModelPath(uses_goal=True)\n",
    "m.load(model_name)\n",
    "for i in tqdm(range(data_length)):\n",
    "    input_path = test_data[0][i]\n",
    "    gt_path = test_data[2][i]\n",
    "    goal = test_data[1][i]\n",
    "    mde, fde = m.metrics_geometric(x=input_path, ground_truth=gt_path, goal=goal)\n",
    "    mde_dicts[model_name].append(mde)\n",
    "    fde_dicts[model_name].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [01:02<00:00, 84.72it/s]\n"
     ]
    }
   ],
   "source": [
    "# generate geometric metrics for simple rnn\n",
    "data_length = test_data[0].shape[0]\n",
    "\n",
    "model_name = 'lstm_baseline_b'\n",
    "mde_dicts[model_name] = []\n",
    "fde_dicts[model_name] = []\n",
    "m = model_path.ModelPath(uses_goal=False)\n",
    "m.load(model_name)\n",
    "for i in tqdm(range(data_length)):\n",
    "    input_path = test_data[0][i]\n",
    "    gt_path = test_data[2][i]\n",
    "    mde, fde = m.metrics_geometric(x=input_path, ground_truth=gt_path)\n",
    "    mde_dicts[model_name].append(mde)\n",
    "    fde_dicts[model_name].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# generate geometric metrics for goal rnn\n",
    "model_name = 'lstm_baseline_goal_a'\n",
    "mde_dicts[model_name] = []\n",
    "fde_dicts[model_name] = []\n",
    "m = model_path.ModelPath(uses_goal=True)\n",
    "m.load(model_name)\n",
    "for i in tqdm(range(data_length)):\n",
    "    input_path = test_data[0][i]\n",
    "    gt_path = test_data[2][i]\n",
    "    goal = test_data[1][i]\n",
    "    mde, fde = m.metrics_geometric(x=input_path, ground_truth=gt_path, goal=goal)\n",
    "    mde_dicts[model_name].append(mde)\n",
    "    fde_dicts[model_name].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 2/5270 [00:00<04:35, 19.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [04:19<00:00, 20.29it/s]\n",
      "  0%|          | 1/5270 [00:00<17:15,  5.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 20\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [17:01<00:00,  5.16it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 50\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [42:35<00:00,  2.06it/s]\n"
     ]
    }
   ],
   "source": [
    "# generate geometric metrics for goal cnn\n",
    "model_name = 'path_cnn_goal_dropout_a'\n",
    "mde_dicts[model_name] = {}\n",
    "fde_dicts[model_name] = {}\n",
    "\n",
    "m = model_path.ModelPath(uses_goal=True)\n",
    "m.load(model_name)\n",
    "for k in k_vals:\n",
    "    print(f\"k: {k}\")\n",
    "    mde_dicts[model_name][k] = []\n",
    "    fde_dicts[model_name][k] = []\n",
    "    for i in tqdm(range(data_length)):\n",
    "        input_path = test_data[0][i]\n",
    "        gt_path = test_data[2][i]\n",
    "        goal = test_data[1][i]\n",
    "        mde, fde = m.metrics_probabilistic(x=input_path, ground_truth=gt_path, goal=goal, samples=k)\n",
    "        mde_dicts[model_name][k].append(mde)\n",
    "        fde_dicts[model_name][k].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [01:01<00:00, 86.29it/s]\n"
     ]
    }
   ],
   "source": [
    "model_name = 'path_transformerk_l'\n",
    "mde_dicts[model_name] = []\n",
    "fde_dicts[model_name] = []\n",
    "m = model_path.ModelPath(uses_goal=False)\n",
    "m.load(model_name)\n",
    "for i in tqdm(range(data_length)):\n",
    "    input_path = test_data[0][i]\n",
    "    gt_path = test_data[2][i]\n",
    "    mde, fde = m.metrics_geometric(x=input_path, ground_truth=gt_path)\n",
    "    mde_dicts[model_name].append(mde)\n",
    "    fde_dicts[model_name].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 2/5270 [00:00<04:38, 18.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [04:17<00:00, 20.45it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 20\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [16:51<00:00,  5.21it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 50\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [41:57<00:00,  2.09it/s]\n"
     ]
    }
   ],
   "source": [
    "# generate geometric metrics for goal cnn\n",
    "model_name = 'path_cnn_droput_a'\n",
    "mde_dicts[model_name] = {}\n",
    "fde_dicts[model_name] = {}\n",
    "\n",
    "m = model_path.ModelPath(uses_goal=False)\n",
    "m.load(model_name)\n",
    "for k in k_vals:\n",
    "    print(f\"k: {k}\")\n",
    "    mde_dicts[model_name][k] = []\n",
    "    fde_dicts[model_name][k] = []\n",
    "    for i in tqdm(range(data_length)):\n",
    "        input_path = test_data[0][i]\n",
    "        gt_path = test_data[2][i]\n",
    "        mde, fde = m.metrics_probabilistic(x=input_path, ground_truth=gt_path, samples=k)\n",
    "        mde_dicts[model_name][k].append(mde)\n",
    "        fde_dicts[model_name][k].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 1/5270 [00:00<09:28,  9.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [04:56<00:00, 17.80it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 20\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [19:14<00:00,  4.57it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 50\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [48:01<00:00,  1.83it/s]\n"
     ]
    }
   ],
   "source": [
    "# generate geometric metrics for goal cnn\n",
    "model_name = 'path_transformerk_dropout_a'\n",
    "mde_dicts[model_name] = {}\n",
    "fde_dicts[model_name] = {}\n",
    "\n",
    "m = model_path.ModelPath(uses_goal=False)\n",
    "m.load(model_name)\n",
    "for k in k_vals:\n",
    "    print(f\"k: {k}\")\n",
    "    mde_dicts[model_name][k] = []\n",
    "    fde_dicts[model_name][k] = []\n",
    "    for i in tqdm(range(data_length)):\n",
    "        input_path = test_data[0][i]\n",
    "        gt_path = test_data[2][i]\n",
    "        mde, fde = m.metrics_probabilistic(x=input_path, ground_truth=gt_path, samples=k)\n",
    "        mde_dicts[model_name][k].append(mde)\n",
    "        fde_dicts[model_name][k].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 1/5270 [00:00<15:30,  5.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [04:54<00:00, 17.91it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 20\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [18:46<00:00,  4.68it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 50\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [46:44<00:00,  1.88it/s]\n"
     ]
    }
   ],
   "source": [
    "# generate geometric metrics for goal cnn\n",
    "model_name = 'path_transformerk_goal_dropout_a'\n",
    "mde_dicts[model_name] = {}\n",
    "fde_dicts[model_name] = {}\n",
    "\n",
    "m = model_path.ModelPath(uses_goal=True)\n",
    "m.load(model_name)\n",
    "for k in k_vals:\n",
    "    print(f\"k: {k}\")\n",
    "    mde_dicts[model_name][k] = []\n",
    "    fde_dicts[model_name][k] = []\n",
    "    for i in tqdm(range(data_length)):\n",
    "        input_path = test_data[0][i]\n",
    "        gt_path = test_data[2][i]\n",
    "        goal = test_data[1][i]\n",
    "        mde, fde = m.metrics_probabilistic(x=input_path, ground_truth=gt_path, goal=goal, samples=k)\n",
    "        mde_dicts[model_name][k].append(mde)\n",
    "        fde_dicts[model_name][k].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [00:50<00:00, 103.83it/s]\n"
     ]
    }
   ],
   "source": [
    "# CNN goal with estimate\n",
    "model_name = 'path_cnn_goal_a_estimate'\n",
    "mde_dicts[model_name] = []\n",
    "fde_dicts[model_name] = []\n",
    "m = model_path.ModelPath(uses_goal=True)\n",
    "m.load('path_cnn_goal_a')\n",
    "for i in tqdm(range(data_length)):\n",
    "    input_path = test_data[0][i]\n",
    "    gt_path = test_data[2][i]\n",
    "    goal = goals_estimations[i]\n",
    "    mde, fde = m.metrics_geometric(x=input_path, ground_truth=gt_path, goal=goal)\n",
    "    mde_dicts[model_name].append(mde)\n",
    "    fde_dicts[model_name].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [04:15<00:00, 20.66it/s]\n",
      "  0%|          | 1/5270 [00:00<17:16,  5.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 20\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [16:47<00:00,  5.23it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 50\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [43:55<00:00,  2.00it/s]\n"
     ]
    }
   ],
   "source": [
    "# CNN goal with estimate\n",
    "model_name = 'path_cnn_goal_dropout_a_estimate'\n",
    "mde_dicts[model_name] = {}\n",
    "fde_dicts[model_name] = {}\n",
    "\n",
    "m = model_path.ModelPath(uses_goal=True)\n",
    "m.load('path_cnn_goal_dropout_a')\n",
    "for k in k_vals:\n",
    "    print(f\"k: {k}\")\n",
    "    mde_dicts[model_name][k] = []\n",
    "    fde_dicts[model_name][k] = []\n",
    "    for i in tqdm(range(data_length)):\n",
    "        input_path = test_data[0][i]\n",
    "        gt_path = test_data[2][i]\n",
    "        goal = goals_estimations[i]\n",
    "        mde, fde = m.metrics_probabilistic(x=input_path, ground_truth=gt_path, goal=goal, samples=k)\n",
    "        mde_dicts[model_name][k].append(mde)\n",
    "        fde_dicts[model_name][k].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 1/5270 [00:00<10:57,  8.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [05:30<00:00, 15.96it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 20\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [21:20<00:00,  4.11it/s]\n",
      "  0%|          | 0/5270 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k: 50\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 5270/5270 [55:14<00:00,  1.59it/s]\n"
     ]
    }
   ],
   "source": [
    "model_name = 'path_transformerk_goal_dropout_a_estimate'\n",
    "mde_dicts[model_name] = {}\n",
    "fde_dicts[model_name] = {}\n",
    "\n",
    "m = model_path.ModelPath(uses_goal=True)\n",
    "m.load('path_transformerk_goal_dropout_a')\n",
    "for k in k_vals:\n",
    "    print(f\"k: {k}\")\n",
    "    mde_dicts[model_name][k] = []\n",
    "    fde_dicts[model_name][k] = []\n",
    "    for i in tqdm(range(data_length)):\n",
    "        input_path = test_data[0][i]\n",
    "        gt_path = test_data[2][i]\n",
    "        goal = goals_estimations[i]\n",
    "        mde, fde = m.metrics_probabilistic(x=input_path, ground_truth=gt_path, goal=goal, samples=k)\n",
    "        mde_dicts[model_name][k].append(mde)\n",
    "        fde_dicts[model_name][k].append(fde)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(statistics.mean(mde_dicts['path_cnn_goal_a']))\n",
    "print(statistics.mean(mde_dicts['path_cnn_goal_a_estimate']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "path_cnn_droput_a:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_transformerk_dropout_a:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_transformerk_goal_dropout_a:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_cnn_goal_dropout_a:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_cnn_a:\n",
      "mde_dicts[path_cnn_a] *= 10\n",
      "path_cnn_goal_a:\n",
      "mde_dicts[path_cnn_goal_a] *= 10\n",
      "path_transformerk_l:\n",
      "mde_dicts[path_transformerk_l] *= 10\n",
      "path_cnn_goal_a_estimate:\n",
      "mde_dicts[path_cnn_goal_a_estimate] *= 10\n",
      "path_cnn_goal_dropout_a_estimate:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_transformerk_goal_dropout_a_estimate:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_cnn_droput_a:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_transformerk_dropout_a:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_transformerk_goal_dropout_a:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_cnn_goal_dropout_a:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_cnn_a:\n",
      "fde_dicts[path_cnn_a] *= 10\n",
      "path_cnn_goal_a:\n",
      "fde_dicts[path_cnn_goal_a] *= 10\n",
      "path_transformerk_l:\n",
      "fde_dicts[path_transformerk_l] *= 10\n",
      "path_cnn_goal_a_estimate:\n",
      "fde_dicts[path_cnn_goal_a_estimate] *= 10\n",
      "path_cnn_goal_dropout_a_estimate:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n",
      "path_transformerk_goal_dropout_a_estimate:\n",
      "val[5] *= 10\n",
      "val[20] *= 10\n",
      "val[50] *= 10\n"
     ]
    }
   ],
   "source": [
    "# multiply all boxplots by 10 to get the values in m\n",
    "for key, val in mde_dicts.items():\n",
    "    print(f\"{key}:\")\n",
    "    # for the dropout ones numerate through the k values\n",
    "    if type(val) == dict:\n",
    "        for k2, v2 in val.items():\n",
    "            l = np.array(v2, dtype='float32') * 10\n",
    "            print(f\"val[{k2}] *= 10\")\n",
    "            val[k2] = l\n",
    "    else:\n",
    "        l = np.array(val, dtype='float32') * 10\n",
    "        print(f\"mde_dicts[{key}] *= 10\")\n",
    "        mde_dicts[key] = l\n",
    "\n",
    "for key, val in fde_dicts.items():\n",
    "    print(f\"{key}:\")\n",
    "    # for the dropout ones numerate through the k values\n",
    "    if type(val) == dict:\n",
    "        for k2, v2 in val.items():\n",
    "            l = np.array(v2, dtype='float32') * 10\n",
    "            print(f\"val[{k2}] *= 10\")\n",
    "            val[k2] = l\n",
    "    else:\n",
    "        l = np.array(val, dtype='float32') * 10\n",
    "        print(f\"fde_dicts[{key}] *= 10\")\n",
    "        fde_dicts[key] = l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save to shelve\n",
    "with shelve.open('mde_fde.shelve') as db:\n",
    "    db['mde'] = mde_dicts\n",
    "    db['fde'] = fde_dicts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load from shelve\n",
    "k_vals = [5, 20, 50]\n",
    "mde_dicts = {}\n",
    "fde_dicts = {}\n",
    "with shelve.open('mde_fde.shelve') as db:\n",
    "    mde_dicts = db['mde']\n",
    "    fde_dicts = db['fde']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "path_cnn_a:\n",
      "\t0.606\n",
      "path_cnn_droput_a:\n",
      "\t5: 0.523\n",
      "\t20: 0.451\n",
      "\t50: 0.417\n",
      "path_cnn_goal_a:\n",
      "\t0.467\n",
      "path_cnn_goal_a_estimate:\n",
      "\t0.543\n",
      "path_cnn_goal_dropout_a:\n",
      "\t5: 0.407\n",
      "\t20: 0.355\n",
      "\t50: 0.329\n",
      "path_cnn_goal_dropout_a_estimate:\n",
      "\t5: 0.693\n",
      "\t20: 0.670\n",
      "\t50: 0.657\n",
      "path_transformerk_dropout_a:\n",
      "\t5: 0.480\n",
      "\t20: 0.436\n",
      "\t50: 0.412\n",
      "path_transformerk_goal_dropout_a:\n",
      "\t5: 0.372\n",
      "\t20: 0.339\n",
      "\t50: 0.320\n",
      "path_transformerk_goal_dropout_a_estimate:\n",
      "\t5: 0.434\n",
      "\t20: 0.376\n",
      "\t50: 0.343\n",
      "path_transformerk_l:\n",
      "\t0.538\n"
     ]
    }
   ],
   "source": [
    "## calculate metrics mde\n",
    "for model, val in mde_dicts.items():\n",
    "    print(f\"{model}:\")\n",
    "    if type(val) == dict:\n",
    "        for k, v2 in val.items():\n",
    "            m = statistics.mean(v2)\n",
    "            print(f\"\\t{k}: {m:.3f}\")\n",
    "    else:\n",
    "        m = statistics.mean(val)\n",
    "        print(f\"\\t{m:.3f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "path_cnn_a:\n",
      "\t1.128\n",
      "path_cnn_droput_a:\n",
      "\t5: 0.984\n",
      "\t20: 0.850\n",
      "\t50: 0.785\n",
      "path_cnn_goal_a:\n",
      "\t0.733\n",
      "path_cnn_goal_a_estimate:\n",
      "\t0.986\n",
      "path_cnn_goal_dropout_a:\n",
      "\t5: 0.625\n",
      "\t20: 0.528\n",
      "\t50: 0.482\n",
      "path_cnn_goal_dropout_a_estimate:\n",
      "\t5: 1.299\n",
      "\t20: 1.255\n",
      "\t50: 1.231\n",
      "path_transformerk_dropout_a:\n",
      "\t5: 0.899\n",
      "\t20: 0.818\n",
      "\t50: 0.774\n",
      "path_transformerk_goal_dropout_a:\n",
      "\t5: 0.574\n",
      "\t20: 0.512\n",
      "\t50: 0.477\n",
      "path_transformerk_goal_dropout_a_estimate:\n",
      "\t5: 0.923\n",
      "\t20: 0.813\n",
      "\t50: 0.750\n",
      "path_transformerk_l:\n",
      "\t1.000\n"
     ]
    }
   ],
   "source": [
    "## calculate metrics fde\n",
    "for model, val in fde_dicts.items():\n",
    "    print(f\"{model}:\")\n",
    "    if type(val) == dict:\n",
    "        for k, v2 in val.items():\n",
    "            m = statistics.mean(v2)\n",
    "            print(f\"\\t{k}: {m:.3f}\")\n",
    "    else:\n",
    "        m = statistics.mean(val)\n",
    "        print(f\"\\t{m:.3f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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p8yzwGQBJHyBLBIsKjMnMzGoUlggiYjVwLHAbWV/D9RHxmKSzJXXe9P4E4O8k/Q9wLXCEb3tpZtZcDZ0+Kmk74LvAFhGxg6SdgP0i4tzu1ouImWSnhObnnZ57/jjwsV5HbWZm/abRGsH3gFOAVQARMYesqcds0Nhss82Q1KcH0Kf1N9tss5I/BauiRoeYeFdEPND5RU9WFxCPWWkWL15M2S2TNf9jZk3RaI3gJUnbkC4qk3Qgvm2lmdmg0GiN4Ctk5/G/X9JC4GngkMKiMjOzpml0rKF5wHhJGwBDImJ5sWGZmVmzNHqHsm9IGhYRr0XEckmbSur2jKEqaoXORnc4mllvNdpHsFdELOmciIjFgIeMrtHZ2Vj2Y/HixWV/FGY2gDSaCIZKWrdzQtL6wLrdlDczswGi0c7ia4A7JF2Zpo8EihqIzszMmqjRzuLzJc0hjQsEnBMRtxUXlpmZNUujNQIi4lbg1gJjMTOzEjR61tABkp6StFTSMknLJS0rOjgzs0b4jL2+abRGcAEwMSKe6LGkmVmTtcLwIDBwhwhp9KyhF5wEzMwGp0ZrBLMlXQfcBLzZOTMiflZEUGZm1jyNJoKNgdeBPXPzAnAiMDMb4Bo9ffTIogMxM7NyNHqHsvXIbjT/QbL7CgMQEUcVFJeZmTVJo53FVwPvAT4L/BoYCXgEUjOzQaDRRLBtRPwL8FpEXAXsA+zW00qSJkh6UtJcSSd3UeYLkh6X9JikHzceupmZ9YdGO4tXpb9LJO0APA+8u7sVJA0FLgH2ABYAsyTNSDes7ywzhuxeyB+LiMWSut2mmZn1v0ZrBFMlbQqcBswAHgfO72GdXYG5ETEvIlYC04FJNWX+DrgkDWtNRLzYcORmZtYvGk0Ed0TE4oi4OyLeFxHvBm7vYZ0RwPzc9II0L287YDtJ/y3pPkkT6m1I0hRJsyXNXrRoUYMhm5lZIxpNBD+tM++Gfnj9tYAxwDhgMvA9ScNqC0XE1IjoiIiOtra2fnhZMzPr1G0fgaT3k50yuomkA3KLNiZ3GmkXFgKjctMj07y8BcD9EbEKeFrS78gSw6wGYjczs37QU2fx9sC+wDBgYm7+crL2/e7MAsZI2posARwEHFxT5iaymsCVkoaTNRXNayRwMzPrH90mgoj4OfBzSR+NiHt7s+GIWC3pWOA2YChwRUQ8JulsYHZEzEjL9pT0OPAn4MSIeHmN3omZma2RRk8f/Zykx4AVwH8AOwH/NyJ+1N1KETETmFkz7/Tc8wD+KT3MzKwEjXYW7xkRy8iaiZ4BtgVOLCooMzNrnkYTwdrp7z7ATyJiaUHxmJlZkzXaNHSzpN+SNQ39vaQ24I3iwjIzs2ZpqEYQEScDuwMd6VTP13jnVcJmZjYA9XQdwacj4lf5awhq7snpG9OYmQ1wPTUNfRL4FW+/hqCT71BmZjYI9HQdwRnpr+9QZmY2SPXUNNTt+f0RcWH/hmNmZs3WU9PQRunv9sBHyIaghqyp6IGigjIzs+bpqWnoLABJdwMfjojlafpM4JbCozMzs8I1ekHZFsDK3PTKNM/MzAa4Ri8o+yHwgKQb0/T+wLQiAjIzs+ZqKBFExHmSbgU+kWYdGREPFxeWmZk1S6M1AiLiIeChAmMxK1WcsTGcuUn5MZg1WcOJwGyw01nLyEZGLzEGiTiz1BCsghrtLDYzs0HKNYJ+1ApNC3+Ow8ysQU4E/agVmhbAzQtm1jtuGjIzq7hCE4GkCZKelDRX0sndlPsbSSGpo8h4zMzsnQpLBJKGApcAewFjgcmSxtYptxHwVeD+omIxM7OuFVkj2BWYGxHzImIlMJ36dzU7Bzgf3/rSzKwURXYWjwDm56YXALvlC0j6MDAqIm6RdGJXG5I0BZgC0N7eXkCoZjaQ+Yy9vintrCFJQ4ALgSN6KhsRU4GpAB0dHeWflmNmLcVn7PVNkU1DC4FRuemRaV6njYAdgLskPQP8NTDDHcZmZs1VZCKYBYyRtLWkdYCD+MuNbYiIpRExPCJGR8Ro4D5gv4iYXWBMZmZWo7BEEBGrgWOB24AngOsj4jFJZ0var6jXNTOz3im0jyAiZgIza+ad3kXZcUXGYmZm9fnKYjOzinMiMDOrOCcCM7OKcyIwM6s4JwIzs4pzIjAzqzgnAjOzinMiMDOrOCcCM7OK8z2LzXIklfr6m266aamvb9XkRGCW9McwxpJaYjhks95wIuhnZf+iBP+qNLPecSLoR/5FaWYDkTuLzcwqzjUCMxsU3Cy75pwIzGzAc7Ns37hpyMys4pwIzMwqzonAzKziCk0EkiZIelLSXEkn11n+T5IelzRH0h2StioyHjMze6fCEoGkocAlwF7AWGCypLE1xR4GOiJiJ+AG4IKi4jEzs/qKrBHsCsyNiHkRsRKYDkzKF4iIOyPi9TR5HzCywHjMzKyOIhPBCGB+bnpBmteVo4FbC4zHzMzqaInrCCQdAnQAn+xi+RRgCkB7e3sTIzMzG/yKrBEsBEblpkemeW8jaTxwKrBfRLxZb0MRMTUiOiKio62trZBgzcyqqshEMAsYI2lrSesABwEz8gUkfQi4nCwJvFhgLGZm1oXCEkFErAaOBW4DngCuj4jHJJ0tab9U7F+BDYGfSHpE0owuNmdmZgUptI8gImYCM2vmnZ57Pr7I1zczs575ymIzs4pzIjAzqzgnAjOzinMiMDOrOCcCM7OKcyIwM6s4JwIzs4pzIjAzqzgnAjOzinMiMDOrOCcCM7OKcyIwM6s4JwIzs4pzIjAzqzgnAjOzimuJexZXiaQ+l4mI/grHeqGRfddIOe8/azVOBE3mg8DA5X03sPXHjzAYnN8DJwIzq4TBeADvL+4jMDOruEITgaQJkp6UNFfSyXWWryvpurT8fkmji4zHzMzeqbBEIGkocAmwFzAWmCxpbE2xo4HFEbEt8G/A+UXFY2Zm9RVZI9gVmBsR8yJiJTAdmFRTZhJwVXp+A/AZNXpqhpmZ9YsiE8EIYH5uekGaV7dMRKwGlgKbFxiTmZnVGBCdxZKmSJotafaiRYvKDsfMbFApMhEsBEblpkemeXXLSFoL2AR4uXZDETE1IjoioqOtra2gcM3MqqnIRDALGCNpa0nrAAcBM2rKzAAOT88PBH4VPtnXzKypVORxV9LewEXAUOCKiDhP0tnA7IiYIWk94GrgQ8ArwEERMa+HbS4C/lBY0OUbDrxUdhC2xrz/Bq7Bvu+2ioi6TSqFJgLrPUmzI6Kj7DhszXj/DVxV3ncDorPYzMyK40RgZlZxTgStZ2rZAVifeP8NXJXdd+4jMDOrONcIzMwqzonAzKzinAjMCuIBFAcGSUMkfVPSyLJjKYsTQQuSdISkrcqOw9aMpFMkfSAiwsmgtUkaAlwPvBkRC8qOpyxOBC1GUhvZFY6HVfkXygD3CnCipO2cDFpX2i+nAUMj4ow0b9/0P1gpTgQtQpkxEbEIuIJsQL5jJI3qYVVrAWn/fUrSkIi4HPgFcKqk7Z0MWk+qCfwUEDBH0qclXQLszeAeZqIunz7aIiRdTDYw33Vk4y9tCQSwM3BpShDWoiSdBJwI/AS4g+xgsj7weeD0iFggSR5UsXwpCfwYmAhsA6wH/COwA3BIRDxftX3lGkELkLQH8M9ko7F+BNgIOIpsML5dgeMl+YY9LSjVBA4FLiC7C98IspswnQxsD7wfuEDSyCodWFrc5cCjZLfR/TGwIdltch8AdpL03qrtKyeCkkl6N9m9mw8CvgQ8A7QDB5MN5f0msHtZ8Vn30gHjEODrwPHAa2S/Mg8Afgk8BGwA/KmsGO0dzouIcyPibuBCsnurb0zWJLsP8Fep1lAZbhoqkaT2iHg29QOcAMwBriX7ZXlrRFyWyg2PiMq1W7ay1Oa/S0Q8nKa/TzY8+vnANcDdEXFxWrZJRCwtLVirS9JaEbE6DZd/AnAcsAJ4tWpNsU4EJZF0OVmb5LfJ7tv8B7J2ygeBm8k6G2/sPJhY60hJ4BvAF8jut/FURPyHpGlkNYDLgZuAmd5/A4Ok/YFjgM9FxKqSw2m6tcoOoGrSQWQ48ASwI7AT2W08jwX+E/gHsl8l+wDuF2gxqcngO2RNCc8DmwHjJU0A7gJOBVYDk4DKnYY4UEXETZJ+WcUkAO4jaKrc2QrfAlaRdVjtDHwP+EGatzkwhezc5spe4NKKUhK/EVgcEYeR1Qq2AC5L859Oj8nABhFRe49ua22vlx1AWdw01ESSbgDeiIhDJB1B1hzURnbgmBIRiySNAZZFxAslhmp1SBoBnBQRx+fmHQiMB66MiPtT5/+qiFhcVpxmveUaQZNIWpus6ecJSZsCu5H1DywE3gKmp9PWnnISaFlvAR+UtF3njIi4AbgPOFfShyLiRScBG2icCJoktT1eDfyO7IrG7YHDgE3JhiR4H7BOaQFajyLij2QX/I2VNDy3aAVZs8LzpQRm1kduGmoySesDXwQ+AHw7Ip6TNBTYPCJeLDc664mkduBQYBHwFDAM+ArwpYj4fYmhma0xJ4ISSNqA7KrG/wNMi4iHSg7JekHSFmRNexPJagKXR8Tj5UZltuacCEoiaUOyTsb/rtrFK4NF59WnEfFW2bGY9YUTQYmqNrCVmbUmJwIzs4rzWUNmZhXnRGBmVnFOBGZmFedEYGZWcU4EZmYV50RgZlZx/wsbqQ/jld20iQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def draw_boxplots(name, model_list, name_list = None, save_file=None):\n",
    "    data_mde = []\n",
    "    data_fde = []\n",
    "    name_list_processed = []\n",
    "    for key, model_name in zip(model_list, name_list):\n",
    "        if type(mde_dicts[key]) == dict:\n",
    "            for k in mde_dicts[key].keys():\n",
    "                name_list_processed.append(f\"{model_name} K={k}\")\n",
    "                data_mde.append(mde_dicts[key][k])\n",
    "                data_fde.append(fde_dicts[key][k])\n",
    "\n",
    "        else:\n",
    "            name_list_processed.append(model_name)\n",
    "            data_mde.append(mde_dicts[key])\n",
    "            data_fde.append(fde_dicts[key])\n",
    "\n",
    "\n",
    "    fig, ax = plt.subplots()\n",
    "    plt.title(name + \" - ADE\")\n",
    "    plt.boxplot( data_mde, showfliers=False)\n",
    "    plt.ylabel(\"distance in (m)\")\n",
    "    if name_list:\n",
    "        ax.set_xticklabels(name_list_processed, rotation=45, fontsize=8)\n",
    "    \n",
    "    if save_file:\n",
    "        plt.savefig(f\"figures/{save_file}_ade.pdf\", bbox_inches = \"tight\")\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "    fig, ax = plt.subplots()\n",
    "    plt.title(name + \" - FDE\")\n",
    "    plt.boxplot( data_fde, showfliers=False)\n",
    "    plt.ylabel(\"distance in (m)\")\n",
    "    if name_list:\n",
    "        ax.set_xticklabels(name_list_processed, rotation=45, fontsize=8)\n",
    "    \n",
    "    if save_file:\n",
    "        plt.savefig(f\"figures/{save_file}_fde.pdf\", bbox_inches = \"tight\")\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "draw_boxplots(\n",
    "    name=\"Forecasting comparison\",\n",
    "    model_list= [\n",
    "        'lstm_b',\n",
    "        'path_cnn_a',\n",
    "        # 'path_cnn_goal_a',\n",
    "        # 'path_cnn_goal_a_estimate',\n",
    "        # 'path_cnn_droput_a',\n",
    "        # 'path_cnn_goal_dropout_a_estimate',\n",
    "        # 'path_cnn_goal_dropout_a',\n",
    "        'path_transformerk_l',\n",
    "        # 'path_transformerk_dropout_a',\n",
    "        # 'path_transformerk_goal_dropout_a_estimate',\n",
    "        # 'path_transformerk_goal_dropout_a',\n",
    "    ],\n",
    "    name_list= [\n",
    "        'RNN',\n",
    "        'CNN',\n",
    "        # 'CNN + correct',\n",
    "        # 'CNN + estimate',\n",
    "        # 'bCNN',\n",
    "        # 'bCNN + estimate',\n",
    "        # 'bCNN + dest.',\n",
    "        'TF',\n",
    "        # 'bTF',\n",
    "        # 'bTF + estimate',\n",
    "        # 'bTF + dest.',\n",
    "    ],\n",
    "    save_file=\"cnn_tf_comparison\"\n",
    ")\n",
    "\n",
    "\n",
    "# fig, ax = plt.subplots()\n",
    "# plt.title(\"ADE\")\n",
    "# plt.boxplot( [ mde_dicts['path_cnn_a'], mde_dicts['path_cnn_goal_a'], mde_dicts['path_cnn_goal_a_estimate'] ], showfliers=True)\n",
    "# plt.ylabel(\"distance in (m)\")\n",
    "# # ax.set_xticklabels([\"sequence speed\", \"input speed\"], rotation=45, fontsize=8)\n",
    "# # plt.savefig(\"figures/boxplot_data_speed.pdf\", bbox_inches = \"tight\")\n",
    "# plt.show()\n",
    "\n"
   ]
  }
 ],
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