SafeAttackPosition.ipynb

{
 "cells": [
  {
   "source": [
    "# Safe Attack Positions\n",
    "5 Enemies and 1 Player are randomly spawned in the map.  \n",
    "The Line of Sight of each player is approximated to a rectangular region, whose edges are determined by traversing straight in the 4 directions till reaching a wall. The nodes visible to each player is stored in a 2-D list.  \n",
    "For the player, the danger nodes are $V=\\cup_{i=0}^nV_i$, where $V_i$ are the LOS of the each enemy player.  \n",
    "The safe nodes are $V'$"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Imports"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys, random\n",
    "sys.path.append(\"../\")\n",
    "from Core.maze import Maze, INF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def checkExists(maxe, x, y):\n",
    "    if x in range(0,maze.num_columns) and y in range(0,maze.num_rows):\n",
    "        if 0 in maze.grid[y][x].neighbors.values():\n",
    "            return 1\n",
    "    return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def randomPlayers(maze):\n",
    "    players = set()\n",
    "    while len(players)!=6:\n",
    "        x=random.randrange(0,maze.num_columns, 1)\n",
    "        y=random.randrange(0,maze.num_rows, 1)\n",
    "        if checkExists(maze,x,y):\n",
    "            players.add((y,x))\n",
    "    return list(players)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def initLOS(maze, players):\n",
    "    playerLOS=[]\n",
    "    neighbors = [(-1,0,\"N\"),(1,0,\"S\"),(0,-1,\"W\"),(0,1,\"E\")]\n",
    "    for player in players:\n",
    "        y=player[0]\n",
    "        x=player[1]\n",
    "        limits=[]\n",
    "        for a,b,c in neighbors:\n",
    "            for i in range(0,max(maze.num_rows, maze.num_columns)):\n",
    "                if maze.grid[y+a*i][x+b*i].neighbors[c]==INF:\n",
    "                    limits.append(i)\n",
    "                    break\n",
    "        los=[]\n",
    "        for i in range(y-limits[0],y+limits[1]+1):\n",
    "            for j in range(x-limits[2],x+limits[3]+1):\n",
    "                los.append((i,j))\n",
    "        playerLOS.append(los)\n",
    "    return playerLOS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def safeAttack(maze, players, choice):\n",
    "    playerLOS=initLOS(maze, players)\n",
    "    danger = set()\n",
    "    for i in range(len(playerLOS)-1):\n",
    "        if i == choice:\n",
    "            continue\n",
    "        if len(danger) == 0:\n",
    "            danger = set(playerLOS[i])\n",
    "        else:\n",
    "            danger = danger.union(set(playerLOS[i]))\n",
    "    safe = set()\n",
    "    for y in range(0,maze.num_rows):\n",
    "        for x in range(0, maze.num_columns):\n",
    "            if checkExists(maze, x, y) and (y,x) not in danger:\n",
    "                safe.add((y,x))\n",
    "    safe = safe.intersection(set(playerLOS[choice]))\n",
    "    maze.add_colors(path=safe, color=(0,255,0))\n",
    "    for i in range(0,5):\n",
    "        maze.add_colors(path=[players[i]], color=(255-50*i,0,0))\n",
    "    maze.add_colors(path=[players[-1]], color=(0,0,255))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def main(maze):\n",
    "    players=randomPlayers(maze)\n",
    "    for i in range(0,5):\n",
    "        maze.add_colors(path=[players[i]], color=(255-50*i,0,0))\n",
    "    maze.add_colors(path=[players[-1]], color=(0,0,255))\n",
    "    display(maze.draw(cell_width=6))\n",
    "\n",
    "    choice = int(input(\"Choose player to attack[1-5](1-Brightest Red ... 5 - Darkest Red):\"))\n",
    "    print(\"Safe Attack Position Against Player-\"+str(choice)+\":\")\n",
    "    safeAttack(maze, players, choice-1)\n",
    "    display(maze.draw(cell_width=6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "error",
     "ename": "ValueError",
     "evalue": "not enough values to unpack (expected 4, got 3)",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-7-fd17b753ae2b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mmaze\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mMaze\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmaze\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload_from_image\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Valorant_Ascent.jpg\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m100\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mmain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmaze\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32me:\\IIIT-H\\Resources\\2.I\\Algorithms\\Project\\Puzzles\\Core\\maze.py\u001b[0m in \u001b[0;36mload_from_image\u001b[1;34m(self, imgpath, resolution)\u001b[0m\n\u001b[0;32m    373\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnum_columns\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    374\u001b[0m             \u001b[1;32mfor\u001b[0m \u001b[0mj\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnum_rows\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 375\u001b[1;33m                 \u001b[0mR\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mG\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mB\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mimg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetpixel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mcell_dimens\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mj\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mcell_dimens\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    376\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mR\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mG\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mB\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m<\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m128\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m128\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m128\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    377\u001b[0m                     \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mj\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mneighbors\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"E\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: not enough values to unpack (expected 4, got 3)"
     ]
    }
   ],
   "source": [
    "maze = Maze()\n",
    "maze.load_from_image(\"Valorant_Ascent.jpg\", 100)\n",
    "main(maze)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGBA size=610x610 at 0x7FC296F01850>",
      "image/png": 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/czue0Tvfr1W0JjfM+bWm+9XYompbh7b1bLuuKfkqbdfVtj5t2ta5LT/i1SQAQIhBDAAgxCAGABBiEAMACNGaHMTH+udN2s9ak+usWstd1+cTtCYf2/Us3/V+raQ1OTznNW33sen+7voHYaW2fTIlX8H+nGXl/wBq289akwAAGzKIAQCEGMQAAEIMYgAAIVqTg/hw9bxJ+9n97TNp/7Sxn3nVzs+d1uTwnNe03Uf3d5a2fTIlh1c9GuIb97nWJADAYAYxAIAQgxgAQIhBDAAgRGtyEC2k8+znz/FvC/Kz2efVo304+Zrm2+F80JocnvOatvu4a75K23XJnVd02KFNecSrSQCAEIMYAECIQQwAIMQgBgAQojW5gdntpGvZz5+jNcnPnEt8yqRzQ2ty05zHdmjZTMlXabsuuXOJfm37X2sSAGAAgxgAQIhBDAAgxCAGABCiNbkxraXH7PP1tCb5mfOH1XY4H7Qmb5bzXNv9mp6vcua/96zGdds1hyu07XOtSQCAwQxiAAAhBjEAgBCDGABAiNbkDWkz2edXuLo1qZXJz5rOsZ33VWKd77aeWpM3zPnWdl/a/rC0tSav/s+Xz8rbtK3P9HVuWwetSQCADRnEAABCDGIAACEGMQCAEK1Jfmj6WPxqbfu8be3Prs+q3//ov/fq/3zm0eZjIq1JeWU7JqFt8GmTWp9P/Pe2PXfyWedV2zrIZ+VHvJoEAAgxiAEAhBjEAABCDGIAACFak/ySD9vZhfNtH1qTTKQ1KR/VToIrtD1f8lnnUts6yGflR7yaBAAIMYgBAIQYxAAAQgxiAAAhWpO8TJuSaZxv+9CaZCKtSfkWrSV4R9tzJJ9z/jwa/hrXR96ZH/FqEgAgxCAGABBiEAMACDGIAQCEaE0CS0xo0Trf9tG03+wrfpfWpFwuvyyfom3d5Hvst7b1kXfmR7yaBAAIMYgBAIQYxAAAQgxiAAAhWpPAEk0ttkecb/to2m/2Fb9La1Iul1+WT9G2bvI99lvb+sg78yNeTQIAhBjEAABCDGIAACEGMQCAEK1JYImmFtsjzrc9tO01+4rfpTUpl8svyydY9Qe8cf0TOf/UdF/kvfkRryYBAEIMYgAAIQYxAIAQgxgAQIjWJHCpMx95/9+D/D/W/JRl7nZO+lD/ubvtB16nNSmXyz+e7+jsYNJ4XwxXazXdR3lvfsSrSQCAEIMYAECIQQwAIMQgBgAQojUJXOrKj8JfOa8SH6m3naupD/WfrcPk8kDb/aWX1qRcLv94frW233Nk1ZCxQwuy6b6s1PbcyTvzI15NAgCEGMQAAEIMYgAAIQYxAIAQrUngUis+Ik+eS00fwT9ah7O/8T8f5P+76Pes1LT+j/i7ye/SmpTL5R/PV5n++1doHErutP7PtD138s78iFeTAAAhBjEAgBCDGABAiEEMACBEaxK41PTW5CqNH9r/Lq3V53bYn3yG1qRcLv94vkrbde3a/nvEuj3Xtt/knfkRryYBAEIMYgAAIQYxAIAQgxgAQIjWJHAprUneoTXJTrQm5XL5x/MVHv0xbrxeed/++YS2dZN35ke8mgQACDGIAQCEGMQAAEIMYgAAIVqTQIQ2Jb/S1pi033iX1qRcLq/JV2m7Lvm6vFHT+sjn5Ue8mgQACDGIAQCEGMQAAEIMYgAAIVqTQITWJD9r+ljfvuIqWpNyubwmX+HRH+/G65V/pkW7Stv6yPfIj3g1CQAQYhADAAgxiAEAhBjEAABCtCaBKtqU95NqTNonfJrWpFwur89X0KbszBs1rY98//yIV5MAACEGMQCAEIMYAECIQQwAIERrEhhBm3KWpo/13XdaaE3K5fKx+QralJ/L27Stj/ye+RGvJgEAQgxiAAAhBjEAgBCDGABAiNYkMJo2ZZ9UY9J9pJ3WpFwu3y5fQZtybZ7UtA5y+b/mR7yaBAAIMYgBAIQYxAAAQgxiAAAhWpPAaFd+LO48fE47Es7RmpTL5dvlV9KmfJ4nNa2DXP67+RGvJgEAQgxiAAAhBjEAgBCDGABAiNYksCVtynW0I2ENrUm5XH6b/Gpt16sdKZf350e8mgQACDGIAQCEGMQAAEIMYgAAIVqTwK2s+Bh953My8bH+zusJP9OalMvlt89XeDSsNF5vW9v0kbZ1kMuvyI94NQkAEGIQAwAIMYgBAIQYxAAAQrQmgVu5shU4/fxctTbT1wGuojUpl8tvn19peptypabrkstb8iNeTQIAhBjEAABCDGIAACEGMQCAEK1JgCdWfNTedq5e/aF+2/VCC61JuVwuD7Qs29qUn9B2H+XyhvyIV5MAACEGMQCAEIMYAECIQQwAIERrEuCJKz92v/q81Y6ELlqTcrlcHmhNPrKqTZnUdr/k8ub8iFeTAAAhBjEAgBCDGABAiEEMACBEaxLgicTH8Y/O4bYP9f29gHO0JuVyubyoNflI28D1TNv9ksub8yNeTQIAhBjEAABCDGIAACEGMQCAEK1JgCcmfTj/af5ewDlak3K5XD6gNTlJ2/2Sy5vzI15NAgCEGMQAAEIMYgAAIQYxAIAQrUmAJ7QmH/P3As7RmpTL5XKtyaXa7pdc3pwf8WoSACDEIAYAEGIQAwAIMYgBAIRoTQI8oTXp7wKsojUpl8vlWpMvabsvcvnE/IhXkwAAIQYxAIAQgxgAQIhBDAAgRGsS4AV3alP6uwBraE3K5XK5NuVL2tZfLp+YH/FqEgAgxCAGABBiEAMACDGIAQCEaE0CLDS5Ten8h2tpTcrlcrk25VNt6ymX75Qf8WoSACDEIAYAEGIQAwAIMYgBAIRoTQIENbUsnf9wLa1JuVwuL8vbtK2PXL5TfsSrSQCAEIMYAECIQQwAIMQgBgAQojUJEJJqTDrnIUNrUi6Xy4vypKZ1kMvvkh/xahIAIMQgBgAQYhADAAgxiAEAhGhNAnxA4mN95zl00ZqUy+XyorbUJ7Stg1x+5/yIV5MAACEGMQCAEIMYAECIQQwAIERrEgDgA7Qm5XK5XC6Xy7UmAQAwiAEAhBjEAABCDGIAACFakwAAH6A1KZfL5XK5XK41CQCAQQwAIMQgBgAQYhADAAjRmgQA+ACtSblcLpfL5XKtSQAADGIAACEGMQCAEIMYAECI1iQAwAdoTcrlcrlcLpdrTQIAYBADAAgxiAEAhBjEAABCtCYBAD7g6CP+vw1iAAB8hleTAAAhBjEAgBCDGABAiEEMACDk/wEELtXMuhs67AAAAABJRU5ErkJggg==\n"
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Safe Attack Position Against Player-2:\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGBA size=610x610 at 0x7FC297FFFD60>",
      "image/png": "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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "maze = Maze()\n",
    "maze.load_from_image(\"Valorant_Bind.jpg\", 100)\n",
    "main(maze)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGBA size=610x610 at 0x7FC296457A60>",
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Safe Attack Position Against Player-3:\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGBA size=610x610 at 0x7FC296457340>",
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmIAAAJiCAYAAABkVq7mAAAX60lEQVR4nO3dTbLcynUE4KZDO9LAK/JAK/LAK/JAa6IHVzKlS/QvAWSewvcNMxiP3YVC9YkA8vHH7Xb7eQMA4HT/kf4AAABXZRADAAgxiAEAhPzle/Dzp1fGAAD29uPHj9+y3waxe3/w58+fcrlcLpfL5fIP8y0eTQIAhBjEAABCDGIAACEGMQCAkB+3b/9nfa1JAID9aU3K5XK5XC6Xa00CAGAQAwAIMYgBAIQYxAAAQrQmAQBOoDUpl8vlcrlcrjUJAIBBDAAgxCAGABBiEAMACNGaBAA4gdakXC6Xy+VyudYkAAAGMQCAEIMYAECIQQwAIERrEgDgBFqTcrlcLpfL5VqTAAAYxAAAQgxiAAAhBjEAgBCtSQCAE2hNyuVyuVwul2tNAgBgEAMACDGIAQCEGMQAAEK0JgEATqA1KZfL5XK5XK41CQCAQQwAIMQgBgAQYhADAAjRmgQAOIHWpFwul8vlcrnWJAAABjEAgBCDGABAiEEMACBEaxIA4ARak3K5XC6Xy+VakwAAGMQAAEIMYgAAIQYxAIAQrUl40TsvXwLAd1qTcvkf5Fu2/izPNV7fd/KUtnWQy+VakwAAYxnEAABCDGIAACEGMQCAEK1JeEHTC9srmHTONF37SesG/E5rUi6nRtN+eLfllNS2PnK5/PV8i0eTAAAhBjEAgBCDGABAiEEMACBEa5LleVm/z5Rzpm3vTFk3YJvWpPySOZ3a9knb0HVP0/rI5XKtSQCAsQxiAAAhBjEAgBCDGABAiNYky5vyEvaVtJ0zU/ZI27oB79GalF8yp8+UwadR2/0ll8tfz7d4NAkAEGIQAwAIMYgBAIQYxAAAQrQmWZqXwlmJ8xlm05qUj8/h6pruR7lcrjUJADCWQQwAIMQgBgAQYhADAAjRmqSWl/Xh3zmfYTatSfmoHPhd230ql8tfz7d4NAkAEGIQAwAIMYgBAIQYxAAAQrQmqaQxubZJ50zTXpy0bsDvtCblu+Xwp5r286T2btv6yOXy1/MtHk0CAIQYxAAAQgxiAAAhBjEAgBCtSZ7ysj57m3TOHLn//34n/+udfNK6Ab/TmpQv0RpjDW37fMr+b1sfuVz+er7Fo0kAgBCDGABAiEEMACDEIAYAEKI1yVNak+xthXMmcV+ssG5wZVqT8iVaY8zXNtxPuS/urVvjuSGXy3/Pt3g0CQAQYhADAAgxiAEAhBjEAABCtCZ56sgXqyftt7YXzNnPJ/uwaT9Muo/gyrQm5ZXtsLbv29SS4zyT94M2pVw+I9/i0SQAQIhBDAAgxCAGABBiEAMACNGa5CmtyS9NLbmUv93J//vUT7G/Pfdh0z6ZdH/BFWhNyivbgm3fd0JLjv2tuk/a7iO5/Mr5Fo8mAQBCDGIAACEGMQCAEIMYAECI1iRPaU12NeHYX6qUcrQp9xdchdakvLIF9s7ngaNMv4+23LuHGs8ZufwK+RaPJgEAQgxiAAAhBjEAgBCDGABAiNYkT6Vak17W5yyrtibvcc5DhtakvLLt1dQy47qm30fvajtn5PIr5Fs8mgQACDGIAQCEGMQAAEIMYgAAIVqTPKU1yeqS515inzvnIUNrUl7Z9prSMmNtq95fW+4Nf43nj1y+Ur7Fo0kAgBCDGABAiEEMACDEIAYAEKI1yVNak7Ra4bxq2ucrrCc005qUV7a6mtpkzNN2v7TdX+/QppTLtSYBAC7DIAYAEGIQAwAIMYgBAIRoTfJUqjX5rj0+Z9vnmeKTdWu7Xm2a9s/K6wxn0pqUV7a62j5n2+eZYvr1asvbtK2PXD4x3+LRJABAiEEMACDEIAYAEGIQAwAI0ZrkKa3JzzS13o6mNbm/pv2z8jrDmbQm5ZXtrbbP2fZ5pph+vdryNm3rI5dPzLd4NAkAEGIQAwAIMYgBAIQYxAAAQrQmeUpr8jNNrbejaU3ur2n/rLzOcCatSXlle6vtc7Z9nimmX6+2vE3b+sjlE/MtHk0CAIQYxAAAQgxiAAAhBjEAgBCtSZ7SmvxMU+vtaFqT+2vaPyuvM5xJa1Je2d5q+5xtn2eK6derLW/y7lDYuJ5yeUO+xaNJAIAQgxgAQIhBDAAgxCAGABCiNclTWpMcwfV6rKk1+a6Vrwv8Ca1JeWV7q+1ztq3/qvle2r5X2/qktK2nXN6Qb/FoEgAgxCAGABBiEAMACDGIAQCEaE3ylNYkR3C9HtOahPVoTcor21ttn7Nt/VfN99L2vdrWJ6VtPeXyhnyLR5MAACEGMQCAEIMYAECIQQwAIERrkoeObm7ttd/2+pz2/zlcr8cmNyZvt3WvC/wprckB+dW0rUHb50mZtJ+b7t/G9UlpWme5vCXf4tEkAECIQQwAIMQgBgAQYhADAAjRmgy62su7zPHJOZDYz5POqyvd75OuC5xJa7Ish2ZT9nPbfd22Pilt6y+XN+RbPJoEAAgxiAEAhBjEAABCDGIAACFak0FXalExi9bk/q50v0+6LnAmrcmyHJpN2c9t93Xb+qS0rb9c3pBv8WgSACDEIAYAEGIQAwAIMYgBAIRoTQZdqUXFLGecA+/sf+fSL0eeG9YZjqU1WZZDs7b933b/rnputH1fuXylfItHkwAAIQYxAIAQgxgAQIhBDAAgRGsySGvSfvtXTfvh6Ovy7ne1T74cvUesMxxLa7Is50vbdbEfvuzxvY78LI80Xt+m9bznjEGv6fu2adtv8v3zLR5NAgCEGMQAAEIMYgAAIQYxAIAQrckQL6Z+sd9+adoTe/0TRCkr7Kum9dzLo+uy4vd91wr7lscu0Zpknqb909amSbra52/LV3W17/uutn0o15oEAFiWQQwAIMQgBgAQYhADAAgZ25r0ov4apuy3MzTtaa3JrKa1fOQ/7+T/eyfXmnxs+r7luaVak6yjaV+1tWmSJn9+Z0avCfsnqe1ckmtNAgAsyyAGABBiEAMACDGIAQCEjGhNevF2XY37LaVpn09vTdLp3r6yd744D9c3tjXJ2tr2m33+Zfrnp4+B67m2c0muNQkAsCyDGABAiEEMACDEIAYAEFLfmvRy59ra9ltS017XmoTzOQ/XN7I1yfqa9ltbmyZp+ueHidrOJbnWJADAsgxiAAAhBjEAgBCDGABASE1r0ov6+/Ly9DxN94DWJEd4tK/sH+f2FVS3JtlfW1tEPqt1OP3z08n+eaztXJJrTQIALMsgBgAQYhADAAgxiAEAhNS0Jm83rZk9efl1nqb9P701ucL+b1rPvWhNPrbCvuWx6takDbi/traIfNb+v9rnb8tXdbXv+662fSjXmgQAWJZBDAAgxCAGABBiEAMACKlqTd6jTfO+xuvIvva4L/bcJ0336Qr7v2k99zK9jXu0FfYtj9W3JrVp9tV2HeWd90Xb59lL2/Wavp57sQ6Pte1DudYkAMCyDGIAACEGMQCAEIMYAEDIiNbkPVdq07xr0nXkfXvt/b32ybufx/7kKJN/F9wX6xvbmtSm+Uzb9ZL3SX7GpusiXyefrm09J5xj97Stm9YkAEAZgxgAQIhBDAAgxCAGABAyujV5z+SXC/eywnWc7MfNHnzk583+5FwTfhcaz+0J63bPlPUc3ZpctTWzl7brsmxu6HrbvTX7eSu8vvZVzptLsMLvQts+nG7Ceno0CQAQYhADAAgxiAEAhBjEAABClmxN3jO5/fGula9jEy9U70ub8hd76/bRy/qb/5khZ3/juT1l7bZMWc8lW5Ortj/e1bb+43M/jKeou+7OqzEmDw3/ZB/u595+aFtPjyYBAEIMYgAAIQYxAIAQgxgAQMilWpP3rPCC53dXvI5H87L+8bQmf7Hfbm+3JqdrPLf9Pu7r8q3JFVshj7St8/Scc7Rdd/uNM9mH52haT48mAQBCDGIAACEGMQCAEIMYAECI1mTQkW0U13F/WmzH05r85Ur77YzrPqH913huT1i3d2lNyv8/P1rb952ec462626/ncN6frEPj5f8Nyi3eDQJABBiEAMACDGIAQCEGMQAAEK0JoO0Jue4UoMtSWvyy9X2m9bkl8Zz+511u/fp+1f+S6pEpzW5aBtlwqFzu+23nvt9oOP+0zx3tQGEXyaft3u60u9UmzPalFs8mgQACDGIAQCEGMQAAEIMYgAAIVqTQVNeqD/SJ/vNy/qwlsa2bOJ8bvv99Rv1Zc/rojVZlvPFugHOZ4NPM61JAIAFGcQAAEIMYgAAIQYxAIAQrckgL2ZqTQJak3TTmlw454t1A5zPNNOaBABYkEEMACDEIAYAEGIQAwAI0ZoM0srRmgSu15qc9Dvrd0prcumcL9YNuNr53PZ9nbePaU0CACzIIAYAEGIQAwAIMYgBAIRoTQZpo2hNAlqTzfxOaU0unfPFugFXO5/bvq/z9jGtSQCABRnEAABCDGIAACEGMQCAEK3JEE2UL1qTgNZkL79VWpPL5vyixQM0nc9ak79yvmhNAgAsyCAGABBiEAMACDGIAQCEaE2ewMv69zXutx8314tO/3Nna/5X3230Fq3JXn6/tCaXyHnM9QKudg60fV/n4WNakwAACzKIAQCEGMQAAEIMYgAAIVqTJ9A6uW/SftOmXFdla+9C+61t/Y8+s0ede36/tCZXyHms7Xq5jtdkv2Vd7d/2bdtv9uFjWpMAAAsyiAEAhBjEAABCDGIAACFakzzl31z7cqUW29W0tfZutxn7rXLdBrysP+rcG7CeR9OalMfzo7V9X+2ha7LfPmPdPtO2btPX82hakwAACzKIAQCEGMQAAEIMYgAAIVqTPKU1+diEdhuPVbb/BuyrynUb0PKbdO5NWM+jaU3K4/nR2r5v2/pwDvvqM9btM23rNn09j6Y1CQCwIIMYAECIQQwAIMQgBgAQojXJU1qT+9qjDdfYVttLoi3YuJ5ak++b0vCbdO5NWdMjaU3K4/nR2r7vlPVs+15t6/Mu6/CZu99rj0Fy4Rmgbb9N34dH05oEAFiQQQwAIMQgBgAQYhADAAjRmuQprcl9aU3yismtyd0+e/8SfGTSuac1qTUpL8iP1vZ9p6xn2/eSd+6TI00YFlu17bfJ+/AMWpMAAAsyiAEAhBjEAABCDGIAACFakzylNbmfvV5u1ppcm5fg/2HRZZh07l2pNZkqp2lNyp/mR2v7vm/ngV+Le3/nz1vX51yVdeZP1Z1jWpO32+3467LFo0kAgBCDGABAiEEMACDEIAYAEKI1yVNak481vZz9qE3Z9Dmns84nWXQpp5x7V2pM3m5ak/Li/Ght37dtfd415XNOZ5351NUGnEm0JgEALsQgBgAQYhADAAgxiAEAhGhN8pTW5GNNLTltvnPcW2drvDPLyQGSvztak/LKVmDb921bn3dN+ZyTGbhgtqbfC48mAQBCDGIAACEGMQCAEIMYAECI1iRPaU0+1vTittYkS7Fl+QONvy9ak/LKVmDb921bn3dN+ZwAR5vwe+HRJABAiEEMACDEIAYAEGIQAwAI0ZrkKa3J+9qaiFqTLOXNLbvneXLkubeX6efnFWlNyutagXWH3QLnmtYkVzbh3NtT2++FXGsSAGAMgxgAQIhBDAAgxCAGABCiNclTdS/UH2n49teaZClak7fbze/ySrQm5Uu3h/jiOnJlq557bb8Lcq1JAIDxDGIAACEGMQCAEIMYAECI1iRPNbWHDjd8+2tNnsM6n0Rr8na7+V1eidakfIn2EI+5juewzp1WPffafhfkWpMAAOMZxAAAQgxiAAAhBjEAgBCtSZ5qag8dbvj2v9fm0+Tbl9bkSbQmb7eb3+WVaE3Kl2gPcZ8h4Dzul06rnnttvwtyrUkAgPEMYgAAIQYxAIAQgxgAQIjWJOMc2may/R961Ba8Z48CwSd/L/wJrUmOoDUpXyInK3W92vahfO28Tdv6yLUmAQDGM4gBAIQYxAAAQgxiAAAhWpOM09RmavPo/t1j3T45H1J/L/yJpnPG/l+H1qR8iZzH2tqLqb9XLv+TvE3b+si1JgEAxjOIAQCEGMQAAEIMYgAAIVqTjHNkm8n+35/WJNM0NSZvN/t/JVqT8iXyo7V93+n5Xtq+l/z9nM81XUf55/kWjyYBAEIMYgAAIQYxAIAQgxgAQIjWJONoTc6iNXlNXtbfj/2/Dq1J+RL50dq+7/R8L23fS569T6+m7frKtSYBAMYziAEAhBjEAABCDGIAACFak4yjNTmL1uQ1aU3ebt9+Xv/Fe2tj/69Da1K+RH60tu87Pd9L2/eSa02eqe36yrUmAQDGM4gBAIQYxAAAQgxiAAAhWpOMozU5i9bkNWlN7sf+X4fWpHyJ/EhtPx6N6681KX8lZ19t11euNQkAMJ5BDAAgxCAGABBiEAMACNGaZJy2F+qPdO9+vLcGjfev1uQ1Xek+PZr9vw6tSfkS+ZW8+2P27p+fdL3a9qHcfXqmtusr15oEABjPIAYAEGIQAwAIMYgBAIRoTTKONtZ+zrjftSavyX26H/t/HVqT8iVy9jXlerXtQ7n79Ext11euNQkAMJ5BDAAgxCAGABBiEAMACNGaZBxtrP0cfb/vda2cS/O4T/dj/69Da1K+RM5+pvxYvvs5G/ft1XL21XZ95VqTAADjGcQAAEIMYgAAIQYxAIAQrUnGmfKCOTnOsXn2uK+T1/3Ic8l+XofWpHyJHF7Rtm/l59zX0z//PW3XS641CQAwnkEMACDEIAYAEGIQAwAI0ZqEb7Qy53OOzbLXPac1STutSbn8hZw1tO0r+fH2HOjazo2m6yj/PN/i0SQAQIhBDAAgxCAGABBiEAMACNGahG+0JudzjuVNvo8+2T9ak7xCa1IufyFnDW37qqld6D56ru37Nu1P+ef5Fo8mAQBCDGIAACEGMQCAEIMYAECI1iR8M7ntxZdJ51jqZf2jTb6PJu0fZtGalMtfyFlD275q22+rfq+9tO0T+Rr5Fo8mAQBCDGIAACEGMQCAEIMYAECI1iR8M7ntxZdJ55jWZJ9J+4dZtCbl8hdy1tC2r9r226rfay9t+0S+Rr7Fo0kAgBCDGABAiEEMACDEIAYAEKI1Cd9MbnvxZdI5pjXZZ9L+YRatSbn8hZw1tO2rtv226vfaS9s+ka+Rb/FoEgAgxCAGABBiEAMACDGIAQCEaE3CN5PbXnyZco6l9trR6zP9Hpqyf5hHa1IufyFnvumDwNGsz3Nt55J8jXyLR5MAACEGMQCAEIMYAECIQQwAIERrEr7xIjNcm99BjqI1KZe/kAO0nUvyNfItHk0CAIQYxAAAQgxiAAAhBjEAgBCtSfhGaxKuze8gR9GalMtfyAHaziX5GvkWjyYBAEIMYgAAIQYxAIAQgxgAQIjWJHyjNQnX5neQo2hNyuUv5ABt55J8jXyLR5MAACEGMQCAEIMYAECIQQwAIERrEr7RmpzPOba/K90X9g9H0ZqUy1/IWUPbvpqeX03b+svXyLd4NAkAEGIQAwAIMYgBAIQYxAAAQrQm4ZsrtcNW5Rzb35XuC/uHo2hNyuUv5KyhbV9Nz6+mbf3la+RbPJoEAAgxiAEAhBjEAABCDGIAACFak/DNldphq3KO7e9K94X9w1G0JuXyF3LW0LavpudXcm/obLwu8ln5Fo8mAQBCDGIAACEGMQCAEIMYAECI1iR8c6V22KqcY0AjrUm5/IWcNbTtK7lcLt/i0SQAQIhBDAAgxCAGABBiEAMACNGahG+u1Jp0vwOcR2tSLn8hv5q29ZfL5fJV8y0eTQIAhBjEAABCDGIAACEGMQCAEK1J+EZrEoAjaE3K5S/kV9O2/nK5XL5qvsWjSQCAEIMYAECIQQwAIMQgBgAQojUJAHACrUm5XC6Xy+VyrUkAAAxiAAAhBjEAgBCDGABAiNYkAMAJtCblcrlcLpfLtSYBADCIAQCEGMQAAEIMYgAAIVqTAAAn0JqUy+VyuVwu15oEAMAgBgAQYhADAAgxiAEAhGhNAgCcQGtSLpfL5XK5XGsSAACDGABAiEEMACDEIAYAEKI1CQBwAq1JuVwul8vlcq1JAAAMYgAAIQYxAIAQgxgAQIjWJADACbQm5XK5XC6Xy7UmAQAwiAEAhBjEAABCDGIAACFakwAAJ9CalMvlcrlcLteaBADAIAYAEGIQAwAIMYgBAIRoTQIAnEBrUi6Xy+VyuVxrEgAAgxgAQIhBDAAgxCAGABCiNQkAcIKtl/h/G8QAADiHR5MAACEGMQCAEIMYAECIQQwAIOT/ACk9+gUnRdilAAAAAElFTkSuQmCC\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "maze = Maze()\n",
    "maze.load_from_image(\"Valorant_Haven.jpg\", 100)\n",
    "main(maze)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGBA size=610x610 at 0x7FC2A70ABFA0>",
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Safe Attack Position Against Player-4:\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGBA size=610x610 at 0x7FC2967D1C70>",
      "image/png": "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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "maze = Maze()\n",
    "maze.load_from_image(\"Valorant_Icebox.jpg\", 100)\n",
    "main(maze)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGBA size=610x610 at 0x7FC2A7088760>",
      "image/png": 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\n"
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Safe Attack Position Against Player-5:\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGBA size=610x610 at 0x7FC2965A68E0>",
      "image/png": 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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "maze = Maze()\n",
    "maze.load_from_image(\"Valorant_Split.jpg\", 100)\n",
    "main(maze)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3.7.4 32-bit",
   "metadata": {
    "interpreter": {
     "hash": "617bd25a90f4d494eba9f700175ec3bab28d128b52129a0fdad9d74201035280"
    }
   }
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4-final"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}