{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import itertools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "im = Image.open(\"Aquilae-Clue-6.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('JPEG', 'RGB', (2580, 564))"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im.format, im.mode, im.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns, rows = im.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "px = im.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(177, 11, 11)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "px[1, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(252, 120, 116),\n",
       " (168, 25, 21),\n",
       " (185, 16, 11),\n",
       " (187, 12, 7),\n",
       " (182, 16, 18),\n",
       " (200, 77, 80),\n",
       " (255, 229, 229),\n",
       " (255, 253, 253),\n",
       " (255, 254, 255),\n",
       " (255, 249, 251),\n",
       " (255, 222, 217),\n",
       " (166, 59, 51),\n",
       " (175, 16, 12),\n",
       " (195, 13, 10),\n",
       " (189, 11, 9),\n",
       " (160, 25, 22),\n",
       " (250, 192, 190),\n",
       " (255, 251, 250),\n",
       " (255, 254, 255),\n",
       " (255, 250, 251),\n",
       " (255, 245, 243),\n",
       " (215, 140, 137),\n",
       " (164, 22, 18),\n",
       " (187, 12, 7),\n",
       " (186, 13, 7),\n",
       " (171, 22, 18),\n",
       " (162, 59, 62),\n",
       " (255, 224, 230),\n",
       " (255, 250, 253),\n",
       " (254, 255, 255),\n",
       " (255, 252, 249),\n",
       " (255, 230, 228),\n",
       " (176, 52, 50),\n",
       " (185, 17, 16),\n",
       " (190, 12, 10),\n",
       " (182, 17, 15),\n",
       " (161, 27, 26),\n",
       " (255, 181, 180),\n",
       " (255, 244, 245),\n",
       " (255, 254, 255),\n",
       " (255, 254, 255),\n",
       " (255, 244, 245),\n",
       " (255, 181, 180),\n",
       " (161, 27, 26),\n",
       " (182, 17, 15),\n",
       " (190, 12, 10),\n",
       " (185, 17, 16),\n",
       " (176, 52, 50),\n",
       " (255, 231, 230),\n",
       " (255, 251, 249)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[px[2, c] for c in range(50)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(255, 255, 250),\n",
       " (255, 254, 250),\n",
       " (253, 253, 253),\n",
       " (255, 255, 255),\n",
       " (250, 250, 252),\n",
       " (255, 255, 255),\n",
       " (254, 255, 255),\n",
       " (252, 252, 250),\n",
       " (253, 253, 251),\n",
       " (255, 255, 253),\n",
       " (255, 255, 255),\n",
       " (253, 253, 253),\n",
       " (255, 253, 254),\n",
       " (255, 254, 255),\n",
       " (255, 255, 253),\n",
       " (253, 253, 251),\n",
       " (255, 255, 255),\n",
       " (254, 255, 255),\n",
       " (252, 255, 255),\n",
       " (252, 255, 253),\n",
       " (252, 255, 251),\n",
       " (252, 255, 253),\n",
       " (252, 255, 255),\n",
       " (254, 255, 255),\n",
       " (254, 255, 255),\n",
       " (253, 255, 254),\n",
       " (253, 255, 252),\n",
       " (254, 255, 251),\n",
       " (198, 200, 197),\n",
       " (27, 27, 27),\n",
       " (27, 27, 29),\n",
       " (30, 31, 33),\n",
       " (25, 30, 26),\n",
       " (26, 31, 27),\n",
       " (28, 30, 29),\n",
       " (29, 29, 31),\n",
       " (30, 28, 31),\n",
       " (29, 27, 30),\n",
       " (30, 28, 29),\n",
       " (32, 28, 27),\n",
       " (62, 58, 57),\n",
       " (241, 239, 240),\n",
       " (255, 254, 255),\n",
       " (255, 254, 255),\n",
       " (254, 254, 255),\n",
       " (254, 255, 255),\n",
       " (252, 255, 253),\n",
       " (252, 255, 253),\n",
       " (254, 255, 255),\n",
       " (200, 201, 203)]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[px[34, c] for c in range(50)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(185, 12, 6),\n",
       " (201, 7, 5),\n",
       " (200, 42, 41),\n",
       " (255, 210, 214),\n",
       " (255, 250, 253),\n",
       " (255, 250, 250),\n",
       " (255, 255, 255),\n",
       " (254, 255, 255),\n",
       " (254, 255, 255),\n",
       " (254, 255, 255),\n",
       " (255, 245, 240),\n",
       " (255, 178, 174),\n",
       " (176, 18, 15),\n",
       " (199, 6, 9),\n",
       " (191, 28, 33),\n",
       " (255, 185, 186),\n",
       " (255, 249, 250),\n",
       " (255, 249, 255),\n",
       " (255, 253, 255),\n",
       " (255, 254, 249),\n",
       " (255, 255, 248),\n",
       " (255, 255, 255),\n",
       " (255, 245, 247),\n",
       " (255, 205, 209),\n",
       " (188, 45, 47),\n",
       " (196, 10, 11),\n",
       " (185, 15, 15),\n",
       " (225, 134, 131),\n",
       " (255, 239, 237),\n",
       " (255, 250, 250),\n",
       " (255, 254, 253),\n",
       " (255, 255, 250),\n",
       " (255, 255, 250),\n",
       " (252, 253, 255),\n",
       " (255, 249, 251),\n",
       " (255, 225, 226),\n",
       " (198, 74, 72),\n",
       " (199, 9, 9),\n",
       " (200, 12, 11),\n",
       " (189, 77, 75),\n",
       " (255, 238, 236),\n",
       " (255, 244, 244),\n",
       " (255, 254, 251),\n",
       " (255, 253, 250),\n",
       " (255, 254, 253),\n",
       " (254, 253, 255),\n",
       " (255, 249, 253),\n",
       " (255, 244, 241),\n",
       " (221, 132, 126),\n",
       " (184, 16, 15)]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[px[r + 25, 23] for r in range(50)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "is_red = {}\n",
    "for r in range(rows):\n",
    "    for c in range(columns):\n",
    "        rgb = px[c, r]\n",
    "        if rgb[0] > 100 and rgb[1] < 100 and rgb[2] < 100:\n",
    "            is_red[r, c] = True\n",
    "        else:\n",
    "            is_red[r, c] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "....................................................................................................\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###..........##..........##..........###..........##..........##..........##..........###..........#\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "###..........##..........###.........###.........###..........##..........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###.........####.........###.........###.........###.........####.........###.........###.........##\n",
      "###..........##..........###.........###.........###..........##..........###.........###.........##\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "....................................................................................................\n",
      "###.........####........####.........###.........###.........####.........###.........###.........##\n",
      "###.........####........####........####.........####........####........####.........####........##\n",
      "###.........####........####........####.........####........####........####.........####........##\n",
      "###.........####........####........####.........####........####........####.........###.........##\n",
      "###.........####........####.........###.........###.........####.........###.........###.........##\n",
      ".............##...........#...........#...........#....................................#...........#\n",
      "....................................................................................................\n",
      "....................................................................................................\n"
     ]
    }
   ],
   "source": [
    "for r in range(40):\n",
    "    line = ''.join(\"#\" if is_red[r, c] else \".\" for c in range(100))\n",
    "    print(line)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "211"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len([k for k, g in itertools.groupby(is_red[2, c] for c in range(columns)) if k])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "47"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len([k for k, g in itertools.groupby(is_red[2, r] for r in range(rows)) if k])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9917"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "47 * 211"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
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    "version": 3
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 },
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