Praktikum 15 - Ekstraksi Fitur (Warna).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Praktikum 15 | Pengolahan Citra"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ekstraksi Fitur (Warna)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fadhil Yori Hibatullah | 2103161037 | 2 D3 Teknik Informatika B"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import imageio\n",
    "import matplotlib.pyplot as plt\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Membaca Gambar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# img = imageio.imread(\"gambar4.jpg\")\n",
    "img_bgr = cv2.imread(\"gambar4.jpg\")\n",
    "img = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2RGB)\n",
    "height, width, channel = img_bgr.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Menampilkan Histogram Gambar RGB"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Membuat variabel untuk menyimpan data gambar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "hgr = np.zeros((256))\n",
    "hgg = np.zeros((256))\n",
    "hgb = np.zeros((256))\n",
    "hgrgb = np.zeros((768), dtype=np.int32)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mengisi setiap nilai dalam array hg dengan 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def makeItZero():\n",
    "    for x in range(0, 256):\n",
    "        hgr[x] = 0\n",
    "        hgg[x] = 0\n",
    "        hgb[x] = 0\n",
    "\n",
    "    for x in range(0, 768):\n",
    "        hgrgb[x] = 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Menghitung nilai dari gambar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "makeItZero()\n",
    "\n",
    "# th = int(256/64)\n",
    "temp = [0]\n",
    "for y in range(0, height):\n",
    "    for x in range(0, width):\n",
    "        red = int(img[y][x][0])\n",
    "        green = int(img[y][x][1])\n",
    "        blue = int(img[y][x][2])\n",
    "        red = red + 0\n",
    "        green = green + 256\n",
    "        blue = blue + 512\n",
    "#         temp.append(green)\n",
    "        hgrgb[red] += 1\n",
    "        hgrgb[green] += 1\n",
    "        hgrgb[blue] += 1\n",
    "\n",
    "binsrgb = np.linspace(0, 768, 100)\n",
    "\n",
    "binsr = np.linspace(0, 0, 100)\n",
    "plt.hist(hgr, binsr, color = \"red\", alpha=0.5)\n",
    "binsg = np.linspace(0, 256, 100)\n",
    "plt.hist(hgr, binsg, color = \"green\", alpha=0.5)\n",
    "binsb = np.linspace(0, 768, 100)\n",
    "plt.hist(hgr, binsb, color = \"blue\", alpha=0.5)\n",
    "#plt.hist(hgr, binsrgb, alpha=0.5)\n",
    "plt.plot(hgrgb)\n",
    "plt.title(\"Histogram Red Green Blue\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simple with OpenCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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J/Ylceb+Y5amEn8yWB03NzPqgfEHhHkW2HOBmeSpfUOAxCjOzvihdUCC5R5Ep7xezPJUuKIoehV+SzMz2V/mCotrnwC0Lzm+zPJUvKPALkplZX5QvKOSvGc+V94tZnsoXFLhHYWbWF+ULCn+FR7a8X8zyVL6g8C/cmZn1SemCAvcozMz6pHxBYdlygJvlqXRBIfwJYDOzvihfUDgpsuWxI7M8lS8oPJhtZtYn5QsKD2Zny/vFLE/lDIp6F2FmdhApX1D4F+6y5b1ilqfyBYV7FGZmfVK6oAAfC8+Ve3pmeSpdUMi/cGdm1iflCwpwlyJT3itmeRpQUEhqlnSTpCclLZN0qqSJkhZLWp6uJ6RlJembklolPSLppIr7WZCWXy5pwUAfVO2a/YJkZtYXA+1RfAO4LSKOA34PWAZcBNwRETOBO9JtgLOBmemyEPgugKSJwCXAKcDJwCVd4TIU/HsU+fJ+MctTv4NC0njgXcBVABGxKyI2AfOAa9Ji1wDnpul5wLVRuBdolnQ4cBawOCI2RMRGYDEwt7917Ufd/mS2mVkfDKRHcTTQDvxA0oOSrpQ0BjgsIlYDpOtD0/JTgJUV67eltp7aX0PSQklLJC1pb2/vV9HuUWTM+8UsSwMJikbgJOC7EfEWYDt7DzNVoyptUaP9tY0RV0TE7IiY3dLS0td6iyL8FR5mZn0ykKBoA9oi4r50+yaK4FiTDimRrtdWLD+tYv2pwKoa7UPEp8fmyocEzfLU76CIiJeAlZKOTU2nA08Ai4CuM5cWADen6UXAR9PZT3OAzenQ1O3AmZImpEHsM1PbkFC1/ouZmfWocYDr/ynwY0lNwLPAxynC50ZJFwAvAOelZW8FzgFagR1pWSJig6QvAQ+k5b4YERsGWFdN/gRwnrxbzPI0oKCIiIeA2VVmnV5l2QAu7OF+rgauHkgt+8sdCjOzvinfJ7M9mJ0t7xazPJUvKPwLd2ZmfVK+oHCPIlseOzLLUzmDot5FmJkdRMoXFP6Fu2x5r5jlqXRBgXsUZmZ9UrqgKH6Pot5VWDXu6JnlqXxB4V+4MzPrk/IFBT67Jlc+bdksT+ULCo9RmJn1SfmCAh8Lz5b3i1mWyhcU/oU7M7M+KV9Q4B5FrrxbzPJUuqDAX+FhZtYnpQsK+YvGs+UAN8tT+YLCOWFm1ielCwrw5yhyUrkvfJKBWZ5KFxTCg6a5cn6b5al8QeHB7Kx4X5jlr3xB4V+4y0r0MG1m+ShfULhHkRWPF5nlr5xBUe8irCqHhlmeBhwUkhokPSjplnR7hqT7JC2XdIOkptQ+It1uTfOnV9zHxan9KUlnDbSmXip2jyIj3hVm+RuMHsWfAcsqbl8GXB4RM4GNwAWp/QJgY0S8Hrg8LYekWcB84I3AXOA7khoGoa6q5F8uykplaDvAzfI0oKCQNBX4Q+DKdFvAe4Cb0iLXAOem6XnpNmn+6Wn5ecD1EfFKRKwAWoGTB1JXzZrxC1JOfGKBWf4G2qP4OvCXwJ50exKwKSI60u02YEqangKsBEjzN6flX22vss6g8xiFmVnf9DsoJL0XWBsRSyubqywavcyrtU73bS6UtETSkvb29j7Vu7dAedA0I94VZvkbSI/iHcD7JT0HXE9xyOnrQLOkxrTMVGBVmm4DpgGk+YcAGyrbq6yzj4i4IiJmR8TslpaWfhXtHkW+HBpmeep3UETExRExNSKmUwxG/zIiPgzcCXwgLbYAuDlNL0q3SfN/GcVb+0XA/HRW1AxgJnB/f+vqjccozMz6prH3Rfrsc8D1kr4MPAhcldqvAn4oqZWiJzEfICIel3Qj8ATQAVwYEZ1DUBeQfuHOSZGNfc56cl/PLEuDEhQRcRdwV5p+lipnLUXETuC8Hta/FLh0MGrZH345yofDwSx/pfxktl+b8tGxp+Jrxr1fzLJUvqBAzomM7NnjvWGWu9IFheWls7JHUcc6zKxnpQuK4ttj/ZKUi073KMyyV76gwO9cc9JZ+VOoDnCzLJUvKPx7FFnp6PTOMMtdCYPCv3CXkz3hMQqz3JUvKHCPIiceozDLX+mCAn/XU1Y6/TkKs+yVLijkpMhKp9PBLHvlCwr5ayNysu9gtveLWY7KFxT4EEdO9nhnmGWvfEHhI09Z8Xc9meWvfEHhX7jLir/rySx/5QsK9yiy4u96Mstf+YICH+LIiT9HYZa/0gVF8YMUlot9v+upjoWYWY9KFxRdMeFxijx0uEdhlr3yBUVKCudEHvbsM0bhnWKWo/IFRepT+CUpDx6jMMtf6YLC8uLvejLLX+mCYu+hJ78q5cDf9WSWv/IFRbr2y1Me3KMwy1+/g0LSNEl3Slom6XFJf5baJ0paLGl5up6Q2iXpm5JaJT0i6aSK+1qQll8uacHAH1atuotrvyjlwWMUZvkbSI+iA/iLiDgemANcKGkWcBFwR0TMBO5ItwHOBmamy0Lgu1AEC3AJcApwMnBJV7gMBalrMNsvUDno8FlPZtnrd1BExOqI+F2a3gosA6YA84Br0mLXAOem6XnAtVG4F2iWdDhwFrA4IjZExEZgMTC3v3Xtf/1DvQXbH3t86Mkse4MyRiFpOvAW4D7gsIhYDUWYAIemxaYAKytWa0ttPbVX285CSUskLWlvb+9nrf1azYaIB7PN8jfgoJA0FvhX4NMRsaXWolXaokb7axsjroiI2RExu6Wlpe/FUvE5Cr8+ZcFjFGb5G1BQSBpOERI/joifpuY16ZAS6Xptam8DplWsPhVYVaN9SLw6mO3j4VlwUJjlbyBnPQm4ClgWEV+rmLUI6DpzaQFwc0X7R9PZT3OAzenQ1O3AmZImpEHsM1PbkNj7XU9DtQXri8qfQvU+MctT4wDWfQfwEeBRSQ+ltr8CvgLcKOkC4AXgvDTvVuAcoBXYAXwcICI2SPoS8EBa7osRsWEAddW0t0dhOdjVuafeJZhZL/odFBHxa6qPLwCcXmX5AC7s4b6uBq7uby19sXeMwlGRg90VQeHDgWZ5Kt8ns92jyMpu9yjMsle6oOjiDkUednuMwix7pQsKuUuRlV0d7lGY5a50QTFuRDEss/WV3XWuxKD7GIWZ5ah0QTFpbBMA67ftqnMlBh6jMDsYlDAoRgCwfvsrda7EoPsYhfsUZjkqX1CMKXoU69yjyII/R2GWv/IFhQ89ZWV3h8cozHJXuqAY3dTI6KYG1m/zoacceIzCLH+lCwooehXrt7tHkQN/jsIsf6UMisljR7DOPYosuEdhlr9SBsWkMSNo3+qgyMG+QeEuhVmOShkUs44Yz1NrtrJyw456l1J6uzuDxmH+2UGznJUyKOa9+Qgi4J5n1te7lNLb3bmHpsbiaegxCrM8lTIoZkwaw7iRjTzctqnepZRaRLBmy04mjG6qdylmVkMpg2LYMHHi1EN4pG1zvUsptbVbX2Hjjt0cf/g4wCMUZrkqZVAAnDi1mSdf2sKOXR31LqW0lq3eAsBxrxtf50rMrJbSBsXvz5zM7s7gtsdeqncppfXkS1sBOK6rR+EuhVmWShsUp8yYxPGHj+ey255kgz98Vxf3PLOeKc2jaB7lMQqznJU2KBqGiX/4oxPZtGM3H/r+vf5KjwPs6TVb+Y+n2/ng7Gl7f57WXQqzLJU2KADeNPUQrv7Y23h23Xbe+uVf8OEr7+WB5zbQ4U8LD5mI4O9vXcaZl99NU+MwPnLqUfUuycx60VjvAurtHa+fzN++dxaX/fxJftO6nt+03gPA26ZP4ANvncqE0U1s2L6Ly257krEjGzn/5COZdfh4frV8HS9t2clpb2hh/KjhHDlxNONGNjKisYHJY5t4pn0bKze+zLPt2znhiPF0RvBKxx5+27qOxoZhDG8YxrgRjZx6zCROmHIIL+/qJAhGDW9AEptf3s0wwbiRw1+tNSL2/pTrIIgIVm3eyYjGYTRIjBvZyNW/WcFxrxvP78+czA9+8xyPvriZGZPH8IbDxnHyjIk0Noh/uO1Jxoxo5A+OP4ztuzr5+39bxlNrtnLasS380UlT2bhjF3c/vY4pzSP59Blv4OG2TazbtovdnXu45rfPvTo2cfHZxzFxTBNdj8j9CbM86WDt7s+ePTuWLFkyqPf51Etb+d8/WsrI4Q20bdzB1p39OyNqROMwXunDb0GPbmpgmMS2VzqQip9r3ZK2/dajJjC6qYFfLV/36vJvObKZUcMbGDW8gRmTx3Dlr1cAcMbxh7Fpxy7efswkxo0czoQxTazZspOWsSOYPnkMv1rezviRw1m9eSfDBD998MW6jM/88expfPasY2kZV/yI1G9b1/GhK+/j+oVzmHP0pANej1mZSFoaEbP7sk42PQpJc4FvAA3AlRHxlQNdw7GvG8ednz0NKN5tP7VmK79evo5XOvZw4tRDOPXoSfz2mfWs3LiDx1dtYeqEUTywYgOnHXsoj764mWNaxrJh+yus27aLk45sZvyo4Tzw3AbufXYD/+tdR7P55d0cfsgont+wnZ279xARbHulg1WbXmbZ6q28acohHPu6cdy/YgPbd3WwacduHn1xM1ObR6W/UXFm0Mbtu3hw/Wu/fuQXy9YAsOT5jfv9mCeNaeKI5lGMHD6MKc2jmHXEeJat3srarTuZPmkM7/u9I/jtM+u55ZFV7O7cw3GvG0/jMLHwXUdzz7PreWnzTt5+zCTeNLWZ59Zt56GVm5hz9ES2vNzBmBGN3LFsDW2bXqazM3j3cS00j27i3cce+uqnsYsHRvqb92+/mdnQyqJHIakBeBr4A6ANeAA4PyKe6GmdoehR5GZXx96vt+jo3MMwiWHpe5HuX7GBiWOGM37UcDr3BBNGN7EngsVPFGFx7T3Pc+asw3i4bRObX97NkRNHM/9tRzJmRAM7d+/hqEmj9zmsVU/3PLOe879/L9f9zzmceox7FGZD6WDuUZwMtEbEswCSrgfmAT0GRRlUvutubNj3vIOTZ0ysus68N0/Z5/pg8tl/eZjRTQ31LsMse7d86p2MaDxw/yu5BMUUYGXF7TbglO4LSVoILAQ48sgjD0xlNuROmDKe8946le3+lLzZfhEH9huXcwmKao/6NcfEIuIK4AooDj0NdVF2YIwbOZx/PO/36l2GmfUgl89RtAHTKm5PBVbVqRYzM6uQS1A8AMyUNENSEzAfWFTnmszMjEwOPUVEh6Q/AW6nOD326oh4vM5lmZkZmQQFQETcCtxa7zrMzGxfuRx6MjOzTDkozMysJgeFmZnV5KAwM7Oasviup/6Q1A4838/VJwPrel2qfnKuL+fawPUNRM61gesbiMrajoqIlr6sfNAGxUBIWtLXL8U6kHKuL+fawPUNRM61gesbiIHW5kNPZmZWk4PCzMxqKmtQXFHvAnqRc3051waubyByrg1c30AMqLZSjlGYmdn+K2uPwszM9pODwszMaipVUEiaK+kpSa2SLqpTDVdLWivpsYq2iZIWS1qeriekdkn6Zqr3EUknHYD6pkm6U9IySY9L+rNcapQ0UtL9kh5OtX0htc+QdF+q7Yb0VfVIGpFut6b504eqtm51Nkh6UNItudUn6TlJj0p6SNKS1Fb3fZu21yzpJklPpuffqRnVdmz6m3Vdtkj6dC71pW1+Jv1fPCbpuvT/MjjPvYgoxYXi68ufAY4GmoCHgVl1qONdwEnAYxVt/wBclKYvAi5L0+cAP6f4BcA5wH0HoL7DgZPS9DjgaWBWDjWmbYxN08OB+9I2bwTmp/bvAZ9I058Evpem5wM3HKB9/OfAT4Bb0u1s6gOeAyZ3a6v7vk3buwb4H2m6CWjOpbZudTYALwFH5VIfxc9JrwBGVTznPjZYz70D8ofN4QKcCtxecfti4OI61TKdfYPiKeDwNH048FSa/ifg/GrLHcBabwb+ILcagdHA7yh+W30d0Nh9P1P8vsmpaboxLachrmsqcAfwHuCW9EKRU33P8dqgqPu+BcanFzrlVluVWs8EfpNTfRRBsRKYmJ5LtwBnDdZzr0yHnrr+kF3aUlsODouI1QDp+tDUXteaU3f0LRTv3LOoMR3WeQhYCyym6CVuioiOKtt/tbY0fzMwaahqS74O/CWwJ92elFl9Afy7pKWSFqa2HPbt0UA78IN02O5KSWMyqa27+cB1aTqL+iLiReCrwAvAaoqNTS6wAAACaUlEQVTn0lIG6blXpqBQlbbczw2uW82SxgL/Cnw6IrbUWrRK25DVGBGdEfFminfuJwPH19j+Aa1N0nuBtRGxtLK5Rg312L/viIiTgLOBCyW9q8ayB7K+RopDst+NiLcA2ykO5fSkLv8b6Rj/+4F/6W3RKm1D+dybAMwDZgBHAGMo9nFPNfSpvjIFRRswreL2VGBVnWrpbo2kwwHS9drUXpeaJQ2nCIkfR8RPc6wxIjYBd1Ec/22W1PVrjZXbf7W2NP8QYMMQlvUO4P2SngOupzj89PWM6iMiVqXrtcDPKMI2h33bBrRFxH3p9k0UwZFDbZXOBn4XEWvS7VzqOwNYERHtEbEb+CnwdgbpuVemoHgAmJnOAmii6D4uqnNNXRYBC9L0Aopxga72j6YzKOYAm7u6uUNFkoCrgGUR8bWcapTUIqk5TY+i+OdYBtwJfKCH2rpq/gDwy0gHZYdCRFwcEVMjYjrF8+uXEfHhXOqTNEbSuK5pimPtj5HBvo2Il4CVko5NTacDT+RQWzfns/ewU1cdOdT3AjBH0uj0P9z19xuc596BGPzJ5UJxJsLTFMe1/7pONVxHcQxxN0WqX0BxbPAOYHm6npiWFfDtVO+jwOwDUN87KbqgjwAPpcs5OdQInAg8mGp7DPi71H40cD/QSnFIYERqH5lut6b5Rx/A/Xwae896yqK+VMfD6fJ41/9ADvs2be/NwJK0f/8fMCGX2tI2RwPrgUMq2nKq7wvAk+l/44fAiMF67vkrPMzMrKYyHXoyM7N+cFCYmVlNDgozM6vJQWFmZjU5KMzMrCYHhZmZ1eSgMDOzmv4/T1CAtmxiCu4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist_img = cv2.calcHist([img], [0], None, [768], [0, 768])\n",
    "plt.plot(hist_img)\n",
    "plt.title(\"Histogram Red Green Blue\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Menampilkan Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "makeItZero()\n",
    "for y in range(0, img.shape[0]):\n",
    "    for x in range(0, img.shape[1]):\n",
    "        red = img[y][x][0]\n",
    "        green = img[y][x][1]\n",
    "        blue = img[y][x][2]\n",
    "        hgr[red] += 1\n",
    "        hgg[green] += 1\n",
    "        hgb[blue] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QaGEhegV9srNeKlY7XXQqs7GzVipO0LGqODOmMhs7a6XiBB1rtDPNIdDmZvQK+mRnvVSsdrroVGZjZ61UnKBjVXFmTGU2dtZKxQk61mhnmjeG3tmB5eXTXMp8Zme9VKzPOIu+MfQM5+k3/JzkfWJKdtZKxQk6Vu8TM8/7xJTsrJWKE3Ss0ftEmlcC3bkTvYI+2VkvFaudLjqV2dhZKxUn6FhVnBlTmY2dtVJxgo412pnmEOjRo+gV9MnOeqlY7XTRqczGzlqpOEHHquLMmMps7KyVihN0rNHONN8OtrsLS0unuZT5zM56qVifcRb9drAZztMv85/kfWJKdtZKxQk6Vu8TM8/7xJTsrJWKE3Ss0ftEmlcC3boVvYI+2VkvFaudLjqV2dhZKxUn6FhVnBlTmY2dtVJxgo412pnmEGhlJXoFfbKzXipWO110KrOxs1YqTtCxqjgzpjIbO2ul4gQda7QzzSGQc84555xzzjnnnDt+aQ6BtraiV9AnO+ulYrXTRacyGztrpeIEHauKM2Mqs7GzVipO0LFGO/3G0HOWnfVSsfqNoU+c3/BzkveJKdlZKxUn6Fi9T8w87xNTsrNWKk7QsUbvE2leCbS2Fr2CPtlZLxWrnS46ldnYWSsVJ+hYVZwZU5mNnbVScYKONdqZ5hDoTJqVniw766VitdNFpzIbO2ul4gQdq4ozYyqzsbNWKk7QsUY70/wxX7kSvYI+2VkvFaudLjqV2dhZKxUn6FhVnBlTmY2dtVJxgo412pnmECj6JVO9srNeKlY7XXQqs7GzVipO0LGqODOmMhs7a6XiBB1rtHMh9ulfvAsXolfQJzvrVdJ6yJs4n7qzHXhfszl6s+iS8yySymzsrJWKE3SsKs6MqczGzlqpOEHHGu1M80qgvb3oFfTJznqpWO100anMxs5aqThBx6rizJjKbOyslYoTdKzRzjSHQNvb0Svok531UrHa6aJTmY2dtVJxgo5VxZkxldnYWSsVJ+hYo51t6PttFsd+svEYFhdPcynzmZ31Kmk95NvBnnEe8jkv9Zhz+u1gM5xnm/4pEnmfmJKdtVJxgo7V+8TM8z4xJTtrpeIEHWv0PpHmlUCjUfQK+mRnvVSsdrroVGZjZ61UnKBjVXFmTGU2dtZKxQk61mhnmkOgs2ejV9AnO+ulYrXTRacyGztrpeIEHauKM2Mqs7GzVipO0LFGO9McAl28GL2CPtlZLxWrnS46ldnYWSsVJ+hYVZwZU5mNnbVScYKONdqZ5hBofT16BX2ys14qVjtddCqzsbNWKk7Qsao4M6YyGztrpeIEHWu0M80h0KVL0Svok531UrHa6aJTmY2dtVJxgo5VxZkxldnYWSsVJ+hYo51pDoHG4+gV9MnOeqlY7XTRqczGzlqpOEHHquLMmMps7KyVihN0rNHONIdAOzvRK+iTnfVSsdrpolOZjZ21UnGCjlXFmTGV2dhZKxUn6FijnW0Yhp7Pd+wnG49hcfE0lzKf2VmvktbWJr8euH884zzkc17qMR//75d5jA7NcJ5t+qdI5H1iSnbWSsUJOlbvEzPP+8SU7KyVihN0rNH7RJpXAo1G0Svok531UrHa6aJTmY2dtVJxgo5VxZkxldnYWSsVJ+hYo51pDoEUTgTBzoqpWO100anMxs5aqThBx6rizJjKbOyslYoTdKzRzjSHQCsr0Svok531UrHa6aJTmY2dtVJxgo5VxZkxldnYWSsVJ+hYo51pDoFu345eQZ/srJeK1U4Xncps7KyVihN0rCrOjKnMxs5aqThBxxrtTHMIdPly9Ar6ZGe9VKx2uuhUZmNnrVScoGNVcWZMZTZ21krFCTrWaGeaQ6AHD6JX0Cc766VitdNFpzIbO2ul4gQdq4ozYyqzsbNWKk7QsUY70xwC7e5Gr6BPdtZLxWqni05lNnbWSsUJOlYVZ8ZUZmNnrVScoGONdrZhGHo+37GfbDyOfxftHtlZr5LW1ia/Hrh/POM85HNe6jEf/++XeYwOzXCebfqnSOR9Ykp21krFCTpW7xMzz/vElOyslYoTdKzR+0SaVwKNRtEr6JOd9VKx2umiU5mNnbVScYKOVcWZMZXZ2FkrFSfoWKOdaQ6BlpaiV9AnO+ulYrXTRacyGztrpeIEHauKM2Mqs7GzVipO0LFGO9McAp07F72CPtlZLxWrnS46ldnYWSsVJ+hYVZwZU5mNnbVScYKONdqZ5hDo7t3oFfTJznqpWO100anMxs5aqThBx6rizJjKbOyslYoTdKzRzjSHQFevRq+gT3bWS8Vqp4tOZTZ21krFCTpWFWfGVGZjZ61UnKBjjXamOQTa2opeQZ/srJeK1U4Xncps7KyVihN0rCrOjKnMxs5aqThBxxrtTHMINB5Hr6BPdtZLxWqni05lNnbWSsUJOlYVZ8ZUZmNnrVScoGONdrZhGHo+37GfbDyGxcXTXMp8Zme9Slpbm/x64P7xjPOQz3mpx3z8v1/mMTo0w3m26Z8ikfeJKdlZKxUn6Fi9T8w87xNTsrNWKk7QsUbvE2leCTQaRa+gT3bWS8Vqp4tOZTZ21krFCTpWFWfGVGZjZ61UnKBjjXamOQRaXo5eQZ/srJeK1U4Xncps7KyVihN0rCrOjKnMxs5aqThBxxrtTHMIpPCyMLCzYipWO110KrOxs1YqTtCxqjgzpjIbO2ul4gQda7QzzSHQxkb0CvpkZ71UrHa66FRmY2etVJygY1VxZkxlNnbWSsUJOtZoZ5pDoGvXolfQJzvrpWK100WnMhs7a6XiBB2rijNjKrOxs1YqTtCxRjtPdAjUWvvdrbV/3Fr7XGvtL7TWZvbCpnv3ZvXI85Wd9VKx2umiU5mNnbVScYKOVcWZMZXZ2FkrFSfoWKOdxz4Eaq1dB/4d4JcMw/ALgA8A33VaC3u6hw9n9cjzlZ31UrHa6aJTmY2dtVJxgo5VxZkxldnYWSsVJ+hYo51tGIbj/cbJIdCPAN8EbAN/GfgTwzD89SN+2/GeDBiP499AqUd21quktbXJrwfuH884D/mcl3rMx//7ZR6jQzOcZ5v+KRJ5n5iSnbVScYKO1fvEzPM+MSU7a6XiBB1r9D6xcNxHH4ZhrbX2R4GfAt4D/vphB0Ct8SngLYBPfAI+/vHJ98Dduzc5AVtdhdEIzp+HhQXY3ITr1+HOHXj0aPLPt25N3jzpox+FrS24cQPW1uDMGbhyZfLPFy7A3h5sbz95zLNn4eJFWF+HS5cmf9g7O08+vrgIKytw+zZcvgwPHsDu7pOPLy3BuXNw9y5cvTp57vH4yceXlyePsbFxPNPKyuTP6KDp3Xfh276tlumwOX32s/ArfkUt0/Pm9KUvTX7fqZu+4SIbXOLa/Xe6my5xgTGL7LSbrDJixCprfD2/mH/A7bfvT0x8A7sssTp+QRNfzyJjNt7ZnxMf4SFnJ4//TgfTC157n/vck2v3NK+9mzePezfOn/cJ7xPK+8Tf/bvwLd9Sy/S8Oa2twS/+xbVM3if65H3C+4T3iVom7xOx+8RJXgn0IeAvAr8Z2AL+R+CHhmH4c0f8tmOf3K+vx7+BUo/srNfMrC/7SptZPPeB1rnKNW4/+0qeYq8EmuG16//CO8n7xJTsrJWKE3Ss3idmnveJKdlZKxUn6Fij94mTvDH0rwb+v2EY7g7D8BXgLwG/9ASPd2QLx37NUq7srJeKdYG96CV0SWWeGVOZjZ21UnGCjlXFmTGV2dhZKxUn6FijnSc5BPop4Ftba0uttQb8KuDzp7OsZ9vcnNUjz1d21kvFusmF6CV0SWWeGVOZjZ21UnGCjlXFmTGV2dhZKxUn6Fijncf+djCA1tqnmXw72B7wD4F/YxiG94/4Lcd+sp2dyffDVc/Oes3MOmffDrbDOZZ5UP7bwWZ47fpl/pO8T0zJzlqpOEHH6n1i5nmfmJKdtVJxgo41ep84ySuBGIbhrWEY3hyG4RcMw/DdUw6ATtSdO7N65PnKznqpWO9wJXoJXVKZZ8ZUZmNnrVScoGNVcWZMZTZ21krFCTrWaOeJDoF69uhR9Ar6ZGe9VKyP8txOTpTKPDOmMhs7a6XiBB2rijNjKrOxs1YqTtCxRjtP9O1gx+jYT7a7O/nxadWzs14zs87Zt4Pt8hpLvFf+28FmeO36Zf6TvE9Myc5aqThBx+p9YuZ5n5iSnbVScYKONXqfSPOf7m/dil5Bn+ysl4r1Fjeil9AllXlmTGU2dtZKxQk6VhVnxlRmY2etVJygY412pjkEWlmJXkGf7KyXinWFregldEllnhlTmY2dtVJxgo5VxZkxldnYWSsVJ+hYo51pDoGcc84555xzzjnn3PFLcwi0pfEiAzsLpmLdQuPoXmWeGVOZjZ21UnGCjlXFmTGV2dhZKxUn6FijnX5j6DnLznr5jaH9xtAvmN/wc5L3iSnZWSsVJ+hYvU/MPO8TU7KzVipO0LFG7xNpXgm0tha9gj7ZWS8V6xrXo5fQJZV5ZkxlNnbWSsUJOlYVZ8ZUZmNnrVScoGONdqY5BDqTZqUny856qVjP8Ch6CV1SmWfGVGZjZ61UnKBjVXFmTGU2dtZKxQk61mhnmj/mK1eiV9AnO+ulYr3CnegldEllnhlTmY2dtVJxgo5VxZkxldnYWSsVJ+hYo51pDoGiXzLVKzvrpWL1t4O56FRmY2etVJygY1VxZkxlNnbWSsUJOtZoZ5pDoAsXolfQJzvrpWK9wGb0ErqkMs+MqczGzlqpOEHHquLMmMps7KyVihN0rNHONIdAe3vRK+iTnfVSse6xEL2ELqnMM2Mqs7GzVipO0LGqODOmMhs7a6XiBB1rtDPNIdD2dvQK+mRnvVSs25yPXkKXVOaZMZXZ2FkrFSfoWFWcGVOZjZ21UnGCjjXa2YZh6Pl8x36y8RgWF09zKfOZnfWambW1ya99v4a/9rkPNOZVFnn/yXpedn1Pf/7B54gwPqcZXrvP/qFq5n1iSnbWSsUJOlbvEzPP+8SU7KyVihN0rNH7RJpXAo1G0Svok531UrGOWI1eQpdU5pkxldnYWSsVJ+hYVZwZU5mNnbVScYKONdqZ5hDo7NnoFfTJznqpWM/yMHoJXVKZZ8ZUZmNnrVScoGNVcWZMZTZ21krFCTrWaGeaQ6CLF6NX0Cc766Vivci96CV0SWWeGVOZjZ21UnGCjlXFmTGV2dhZKxUn6FijnWkOgdbXo1fQJzvrpWJd51r0ErqkMs+MqczGzlqpOEHHquLMmMps7KyVihN0rNHONIdAly5Fr6BPdtZLxXqJjegldEllnhlTmY2dtVJxgo5VxZkxldnYWSsVJ+hYo51pDoHG4+gV9MnOeqlYxwi8lT8688yYymzsrJWKE3SsKs6MqczGzlqpOEHHGu1Mcwi0sxO9gj7ZWS8V6w7L0Uvokso8M6YyGztrpeIEHauKM2Mqs7GzVipO0LFGO9swDD2f79hPNh7DosALDeys18ysrU1+7fs1/LXPfaAxr7LI+0/W87Lre/rzDz5HhPE5zfDaffYPVTPvE1Oys1YqTtCxep+Yed4npmRnrVScoGON3ifSvBJoNIpeQZ/srJeKdcRq9BK6pDLPjKnMxs5aqThBx6rizJjKbOyslYoTdKzRzjSHQAongmBnxVSsi2h8E6/KPDOmMhs7a6XiBB2rijNjKrOxs1YqTtCxRjvTHAKtrESvoE921kvFusJW9BK6pDLPjKnMxs5aqThBx6rizJjKbOyslYoTdKzRzjSHQLdvR6+gT3bWS8V6m6vRS+iSyjwzpjIbO2ul4gQdq4ozYyqzsbNWKk7QsUY70xwCXb4cvYI+2VkvFetl7kYvoUsq88yYymzsrJWKE3SsKs6MqczGzlqpOEHHGu1Mcwj04EH0CvpkZ71UrA84F72ELqnMM2Mqs7GzVipO0LGqODOmMhs7a6XiBB1rtDPNIdDubvQK+mRnvVSsuyxFL6FLKvPMmMps7KyVihN0rCrOjKnMxs5aqThBxxrtbMMw9Hy+Yz/ZeBz/Lto9srNeM7O2Nvn1NL+GHz/mtMc9+Hn7jXmVRd4/+vFf5DEff86LrqVzM7x2n/1D1cz7xJTsrJWKE3Ss3idmnveJKdlZKxUn6Fij94k0rwQajaJX0Cc766ViHbEavYQuqczLKwwzAAAgAElEQVQzYyqzsbNWKk7Qsao4M6YyGztrpeIEHWu0M80h0JLGd5rYWTAV6xIar99UmWfGVGZjZ61UnKBjVXFmTGU2dtZKxQk61mhnmkOgcxrvOWtnwVSs59B4JzeVeWZMZTZ21krFCTpWFWfGVGZjZ61UnKBjjXamOQS6q/HTp+0smIr1Lho/01FlnhlTmY2dtVJxgo5VxZkxldnYWSsVJ+hYo51pDoGuXo1eQZ/srJeK9Sq3o5fQJZV5ZkxlNnbWSsUJOlYVZ8ZUZmNnrVScoGONdqY5BNrail5Bn+ysl4p1i5XoJXRJZZ4ZU5mNnbVScYKOVcWZMZXZ2FkrFSfoWKOdaQ6BxuPoFfTJznqpWMcI/DxHdOaZMZXZ2FkrFSfoWFWcGVOZjZ21UnGCjjXa2YZh6Pl8x36y8RgWBf6OaWe9ZmZtbfLraX4NP37MaY978PP2G/Mqi7x/9OO/yGM+/pwXXUvnZnjtPvuHqpn3iSnZWSsVJ+hYvU/MPO8TU7KzVipO0LFG7xNpXgk0GkWvoE921kvFOmI1egldUplnxlRmY2etVJygY1VxZkxlNnbWSsUJOtZoZ5pDoOXl6BX0yc56qViX2YleQpdU5pkxldnYWSsVJ+hYVZwZU5mNnbVScYKONdqZ5hBI4WVhYGfFVKyLaHwTr8o8M6YyGztrpeIEHauKM2Mqs7GzVipO0LFGO9McAm1sRK+gT3bWS8W6waXoJXRJZZ4ZU5mNnbVScYKOVcWZMZXZ2FkrFSfoWKOdaQ6Brl2LXkGf7KyXivUa69FL6JLKPDOmMhs7a6XiBB2rijNjKrOxs1YqTtCxRjvTHALduxe9gj7ZWS8V6z0uRi+hSyrzzJjKbOyslYoTdKwqzoypzMbOWqk4Qcca7UxzCPTwYfQK+mRnvVSsDzkbvYQuqcwzYyqzsbNWKk7Qsao4M6YyGztrpeIEHWu0sw3D0PP5jv1k43H8Gyj1yM56zcza2uTX0/wafvyY0x734OftN+ZVFnn/6Md/kcd8/DkvupbOzfDaffYPVTPvE1Oys1YqTtCxep+Yed4npmRnrVScoGON3ifSvBJoNIpeQZ/srJeKdcRq9BK6pDLPjKnMxs5aqThBx6rizJjKbOyslYoTdKzRzjSHQOfPR6+gT3bWS8V6nu3oJXRJZZ4ZU5mNnbVScYKOVcWZMZXZ2FkrFSfoWKOdaQ6BFhaiV9AnO+ulYl1gL3oJXVKZZ8ZUZmNnrVScoGNVcWZMZTZ21krFCTrWaGeaQ6DNzegV9MnOeqlYN7kQvYQuqcwzYyqzsbNWKk7Qsao4M6YyGztrpeIEHWu0M80bQ+/swPLyaS5lPrOzXjOzztkbQ+9wjmUeHP34Bd4YeobXrt/wc5L3iSnZWSsVJ+hYvU/MPO8TU7KzVipO0LFG7xNpXgl05070CvpkZ71UrHe4Er2ELqnMM2Mqs7GzVipO0LGqODOmMhs7a6XiBB1rtDPNIdCjR9Er6JOd9VKxPspzOzlRKvPMmMps7KyVihN0rCrOjKnMxs5aqThBxxrtTPPtYLu7sLR0mkuZz+ys18ysc/btYLu8xhLvHf34Bb4dbIbXrl/mP8n7xJTsrJWKE3Ss3idmnveJKdlZKxUn6Fij94k0/+n+1q3oFfTJznqpWG9xI3oJXVKZZ8ZUZmNnrVScoGNVcWZMZTZ21krFCTrWaGeaQ6CVlegV9MnOeqlYV9iKXkKXVOaZMZXZ2FkrFSfoWFWcGVOZjZ21UnGCjjXameYQyDnnnHPOOeecc84dvzSHQFsaLzKws2Aq1i00ju5V5pkxldnYWSsVJ+hYVZwZU5mNnbVScYKONdrpN4aes+ysl98Y+kB+Y+ij8ht+TvI+MSU7a6XiBB2r94mZ531iSnbWSsUJOtbofSLNK4HW1qJX0Cc766ViXeN69BK6pDLPjKnMxs5aqThBx6rizJjKbOyslYoTdKzRzjSHQGfSrPRk2VkvFesZHkUvoUsq88yYymzsrJWKE3SsKs6MqczGzlqpOEHHGu1M88d85Ur0CvpkZ71UrFe4E72ELqnMM2Mqs7GzVipO0LGqODOmMhs7a6XiBB1rtPNEh0CttZXW2g+11t5urX2+tfZtp7Wwp4t+yVSv7KyXitXfDuaiU5mNnbVScYKOVcWZMZXZ2FkrFSfoWKOdCyf8/X8c+N+GYfiNrbWzwMzexunChVk98nxlZ71UrBfYjF5Cl1TmmTGV2dhZKxUn6FhVnBlTmY2dtVJxgo412nnsQ6DW2nnglwPfAzAMw0Pg4eks69n29mb1yPOVnfVSse6d+Ew5RyrzzJjKbOyslYoTdKwqzoypzMbOWqk4Qcca7TzJ39p+LnAX+NOttW8CfhT4XcMwPDj4Sa3xKeAtgE98Aj7+cbh2De7dg4cPYXUVRiM4fx4WFmBzE65fhzt34NGjyT/fugUbG5M3UNraghs3Ji+hOnNm8v10a2uT07S9PdjefvKYZ8/CxYuwvg6XLsF4DDs7Tz6+uAgrK3D7Nly+DA8eTH5c2+OPLy3BuXNw9y5cvTp57vH4yceXlyePsbFxPNPKyuTP6KDp3Xfhgx+sZTpsTp/9LHzoQ7VMz5vTl740ebxTN3GBDS5xbfslTedussLWxPT2na81cY41rnOBTfbaNbY5z+p770xMb/4cLnKPda5xiQuMWWSHZVYZMWKVNb6eJXa5zVUuc5cHnGOXpa9+fIldzm0eYeLrWWTMxjv7c+IjPOTs5Pe/c4jpg/8EjzjD9QdfOJU5vei197nPPbl2T/Pau3nzBHfj5Hmf8D6hvE989rOTf65ket6c1tYm665kOmxOH/4D3wEf+du8/d1j7xOnlPcJ7xPeJ2qZ1PeJ6L9PtGEYjnkzbr8E+BHg24dh+Exr7Y8D28Mw/KEjftvxnozJH8Ti4nF/d57srNfMrK1Nfn3Zr+HHv++w33vwY09/zmEfO9CYV1nk/aOf+6i1Pu05ap2HfX6nZnjtHv0HrJP3iSnZWSsVJ+hY2ycX4ZX3Gd469f3J+8Qk7xNTsrNWKk7QsUb/feIkbwz908BPD8Pwmf3//UPAN5/g8Y5sNJrVI89XdtZLxTpiNXoJXVKZZ8ZUZmNnrVScIGS9r7EfZkzlGrSzVipO0LFGO499CDQMw23gVmvt8YuOfhXw/57Kqg7p7NlZPfJ8ZWe9VKxnZ/eWYHOVyjwzpjIbO2ul4gQh6wc09sOMqVyDdtZKxQk61mjnSd/J9XcCf37/J4P9JPCvnXxJh3fx4qweeb6ys14q1ovci15Cl1TmmTGV2dhZKxUnCFlf09gPM6ZyDdpZKxUn6FijnSf5djCGYfjsMAy/ZBiGbxyG4TcMw/Cl01rY062vz+qR5ys766ViXeda9BK6pDLPjKnMxs5aqThByLqjsR9mTOUatLNWKk7QsUY7T3QI1LNLl6JX0Cc766VivcRG9BK6pDLPjKnMxs5aqThByLqksR9mTOUatLNWKk7QsUY70xwCjcfRK+iTnfVSsY4ReCt/dOaZMZXZ2FkrFScIWfc09sOMqVyDdtZKxQk61mhnmkOgnZ3oFfTJznqpWHdYjl5Cl1TmmTGV2dhZKxUnCFkfauyHGVO5Bu2slYoTdKzRzjYMQ8/nO/aTjcewKPAfVuys18ysrU1+fdmv4ce/77Dfe/BjT3/OYR870JhXWeT9o5/7qLU+7TlqnYd9fqdmeO0e/Qesk/eJKdlZKxUn6FjbJxfhlfcZ3jr1/cn7xCTvE1Oys1YqTtCxRv99Is0rgUaj6BX0yc56qVhHrEYvoUsq88yYymzsrJWKE4Ss9zX2w4ypXIN21krFCTrWaGeaQyCFE0Gws2Iq1kU0volXZZ4ZU5mNnbVScYKQdUFjP8yYyjVoZ61UnKBjjXamOQRaWYleQZ/srJeKdYWt6CV0SWWeGVOZjZ21UnGCkHVRYz/MmMo1aGetVJygY412pjkEun07egV9srNeKtbbXI1eQpdU5pkxldnYWSsVJwhZdzT2w4ypXIN21krFCTrWaGeaQ6DLl6NX0Cc766Vivczd6CV0SWWeGVOZjZ21UnGCkHVJYz/MmMo1aGetVJygY412pjkEevAgegV9srNeKtYHnIteQpdU5pkxldnYWSsVJwhZv6KxH2ZM5Rq0s1YqTtCxRjvTHALt7kavoE921kvFustS9BK6pDLPjKnMxs5aqThByPoVjf0wYyrXoJ21UnGCjjXa2YZh6Pl8x36y8Tj+XbR7ZGe9ZmZtbfLry34NP/59h/3egx97+nMO+9iBxrzKIu8f/dxHrfVpz1HrPOzzOzXDa/foP2CdvE9Myc5aqThBx9o+uQivvM/w1qnvT94nJnmfmJKdtVJxgo41+u8TaV4JNBpFr6BPdtZLxTpiNXoJXVKZZ8ZUZmNnrVScIGS9r7EfZkzlGrSzVipO0LFGO9McAi2JvLLWznqpWJfQeP2myjwzpjIbO2ul4gQh6ysa+2HGVK5BO2ul4gQda7QzzSHQOZH32LOzXirWc2i8k5vKPDOmMhs7a6XiBCHrKxr7YcZUrkE7a6XiBB1rtDPNIdBdkZ+2aWe9VKx30fiZjirzzJjKbOyslYoThKy7GvthxlSuQTtrpeIEHWu0M80h0NWr0Svok531UrFe5Xb0ErqkMs+MqczGzlqpOEHIuqyxH2ZM5Rq0s1YqTtCxRjvTHAJtbUWvoE921kvFusVK9BK6pDLPjKnMxs5aqThByDrW2A8zpnIN2lkrFSfoWKOdaQ6BxuPoFfTJznqpWMcI/DxHdOaZMZXZ2FkrFScIWfc09sOMqVyDdtZKxQk61mhnG4ah5/Md+8nGY1gU2FPtrNfMrK1Nfn3Zr+HHv++w33vwY09/zmEfO9CYV1nk/aOf+6i1Pu05ap2HfX6nZnjtHv0HrJP3iSnZWSsVJ+hY2ycX4ZX3Gd469f3J+8Qk7xNTsrNWKk7QsUb/fSLNK4FGo+gV9MnOeqlYR6xGL6FLKvPMmMps7KyVihOErPc19sOMqVyDdtZKxQk61mhnmkOg5eXoFfTJznqpWJfZiV5Cl1TmmTGV2dhZKxUnCFnPauyHGVO5Bu2slYoTdKzRzjSHQAovCwM7K6ZiXUTjm3hV5pkxldnYWSsVJwhZFzT2w4ypXIN21krFCTrWaGeaQ6CNjegV9MnOeqlYN7gUvYQuqcwzYyqzsbNWKk4Qsu5q7IcZU7kG7ayVihN0rNHONIdA165Fr6BPdtZLxXqN9egldEllnhlTmY2dtVJxgpB1WWM/zJjKNWhnrVScoGONdqY5BLp3L3oFfbKzXirWe1yMXkKXVOaZMZXZ2FkrFScIWd/T2A8zpnIN2lkrFSfoWKOdaQ6BHj6MXkGf7KyXivUhZ6OX0CWVeWZMZTZ21krFCULWn9XYDzOmcg3aWSsVJ+hYo51tGIaez3fsJxuP499AqUd21mtm1tYmv77s1/Dj33fY7z34sac/57CPHWjMqyzy/tHPfdRan/Yctc7DPr9TM7x2j/4D1sn7xJTsrJWKE3Ss7ZOL8Mr7DG+d+v7kfWKS94kp2VkrFSfoWKP/PpHmlUCjUfQK+mRnvVSsI1ajl9AllXlmTGU2dtZKxQlC1vsa+2HGVK5BO2ul4gQda7QzzSHQ+fPRK+iTnfVSsZ5nO3oJXVKZZ8ZUZmNnrVScIGR9VWM/zJjKNWhnrVScoGONdqY5BFpYiF5Bn+ysl4p1gb3oJXRJZZ4ZU5mNnbVScYKQ9YzGfpgxlWvQzlqpOEHHGu1Mcwi0uRm9gj7ZWa9Tt7Y29f15Ih5zkwtzs5ZZPr7StZstldnYWasszvbpRvv0CfeJJNaX6fGfy9f82bx3SvuhO/UqXoOHZWetVJxQy3rUXzminWkOga5fj15Bn+ysl4r1OmvRS+iSyjwzpjIbO2ul4gQh6wc19sOMqVyDdtZKxQk61mhnmkOgO3eiV9AnO+ulYr3DlegldEllnhlTmY2dtVJxgpD1gcZ+mDGVa9DOWqk4Qcca7UxzCPToUfQK+mRnvVSsj/LcTk6UyjwzpjIbO2ul4gQh66CxH2ZM5Rq0s1YqTtCxRjvT7FLRL5nqlZ31UrH628FcdCqzsbNWKk4QsvrbweY2lWvQzlqpOEHHGu1Mcwh061b0CvpkZ71UrLe4Eb2ELqnMM2Mqs7GzVipOELJua+yHGVO5Bu2slYoTdKzRzjSHQCsr0Svok531UrGusBW9hC6pzDNjKrOxs1YqThCyLmrshxlTuQbtrJWKE3Ss0c40h0DOOeecc84555xz7vilOQTaEvmPKnbWS8W6hcbRvco8M6YyGztrpeIEIetYYz/MmMo1aGetVJygY412pjkEuiHy7dV21kvFegONb+JVmWfGVGZjZ61UnCBkPa+xH2ZM5Rq0s1YqTtCxRjvTHAKtifygBTvrpWJdQ+Pt/FXmmTGV2dhZKxUnCFm/rLEfZkzlGrSzVipO0LFGO9McAp1Js9KTZWe9VKxneBS9hC6pzDNjKrOxs1YqThCyNo39MGMq16CdtVJxgo412pnmj/nKlegV9MnOeqlYr3AnegldUplnxlRmY2etVJwgZD2nsR9mTOUatLNWKk7QsUY70xwCRb9kqld21kvF6m8Hc9GpzMbOWqk4Qcjqbweb21SuQTtrpeIEHWu0M80h0IUL0Svok531UrFeYDN6CV1SmWfGVGZjZ61UnCBkfU1jP8yYyjVoZ61UnKBjjXamOQTa24teQZ/srJeKdY+F6CV0SWWeGVOZjZ21UnGCkPWRxn6YMZVr0M5aqThBxxrtTHMItL0dvYI+2VkvFes256OX0CWVeWZMZTZ21krFCULW9zX2w4ypXIN21krFCTrWaGeaQ6DV1egV9MnOeqlYVxlFL6FLKvPMmMps7KyVihOErK9r7IcZU7kG7ayVihN0rNHONIdAI5H91M56qVhHaNy1VeaZMZXZ2FkrFScIWe9r7IcZU7kG7ayVihN0rNHONIdAZ89Gr6BPdtZLxXqWh9FL6JLKPDOmMhs7a6XiBCHrBzT2w4ypXIN21krFCTrWaGeaQ6CLF6NX0Cc766Vivci96CV0SWWeGVOZjZ21UnGCkPU1jf0wYyrXoJ21UnGCjjXameYQaH09egV9srNeKtZ1rkUvoUsq88yYymzsrJWKE4SsOxr7YcZUrkE7a6XiBB1rtDPNIdClS9Er6JOd9VKxXmIjegldUplnxlRmY2etVJwgZF3S2A8zpnIN2lkrFSfoWKOdaQ6BxuPoFfTJznqpWMcsRi+hSyrzzJjKbOyslYoThKx7GvthxlSuQTtrpeIEHWu0M80h0M5O9Ar6ZGe9VKw7LEcvoUsq88yYymzsrJWKE4SsDzX2w4ypXIN21krFCTrWaGeaQ6BVkZ+2aWe9VKyraPxMR5V5ZkxlNnbWSsUJQtbXNfbDjKlcg3bWSsUJOtZoZ5pDoJHIfmpnvVSsIzTu2irzzJjKbOyslYoThKz3NfbDjKlcg3bWSsUJOtZoZ5pDoEWRb6+2s14q1kU0volXZZ4ZU5mNnbVScYKQdUFjP8yYyjVoZ61UnKBjjXamOQRaWYleQZ/srJeKdYWt6CV0SWWeGVOZjZ21UnGCkHVRYz/MmMo1aGetVJygY412pjkEun07egV9srNeKtbbXI1eQpdU5pkxldnYWSsVJwhZdzT2w4ypXIN21krFCTrWaGeaQ6DLl6NX0Cc766Vivczd6CV0SWWeGVOZjZ21UnGCkHVJYz/MmMo1aGetVJygY412pjkEevAgegV9srNeKtYHnIteQpdU5pkxldnYWSsVJwhZv6KxH2ZM5Rq0s1YqTtCxRjvTHALt7kavoE921kvFustS9BK6pDLPjKnMxs5aqThByPoVjf0wYyrXoJ21UnGCjjXaeeJDoNbaB1pr/7C19tdOY0HPa1Xkp23aWS8V6yoaP9NRZZ4ZU5mNnbVScYKQ9XWN/TBjKtegnbVScYKONdp5Gq8E+l3A50/hcY5sJLKf2lkvFesIjbu2yjwzpjIbO2ul4gQh632N/TBjKtegnbVScYKONdp5okOg1to3AL8O+FOns5zntyTyylo766ViXULj9Zsq88yYymzsrJWKE4Ssr2jshxlTuQbtrJWKE3Ss0c6FE/7+Pwb8PuCDz/uE1vgU8BbAJz4BH/84XLsG9+7Bw4eTl0KNRnD+PCwswOYmXL8Od+7Ao0eTf751C4Zh8u+2tuDGDVhbgzNn4MqVyT9fuAB7e7C9/eQxz56FixdhfR0uXYLxGHZ2nnx8cRFWViY/ou3y5ckbNO3uPvn40hKcOwd378LVq5PnHo+ffHx5efIYGxvHM62sTP6MDpq2t+FDH6plOmxOX/ziZH2VTM+b0wc+MPm8UzPxBsvssMiYDS5xbfsQ05vXWGCPTS5w/cvvTEwf/RjXWeMWb7DC1sT0zr6Jj3KGR1zhDmtc5wKb7LHANudZHe+b+AgXucc617jEBmMW2WGZVUaMWGXMq5xnm9tc5TJ3ecA5dln66seX2OXc5lOmj9z86seX+fonJta5x0Uecnby8XaT82yz8DPrT+bEz+URZ7i+e8ic3lxijeuc+fEvTOb0wZsHTG9MHvOd4117B6/d07z2bt484d04cd4nvE8o7xNf/OJkfadpeu0TN+HsDht/cO3UTNz7KLRH7Owc/9objyfP+7Tpzf9mcfLqmVd2uffJW3M5p6dNX13zwodhcQt2rtK+98LkTaG3r8HSXd55x/vEaeV9wvuE94laptdff/L1/fbb0/eJDKanr73HjUbz9/eJNgzDMW/G7dcDv3YYht/eWvtngd87DMOvn/LbjvdkwDvvaGx+dtbr1K2tfe3/Puxr+ODnPP74079v2sde5nOAd3iDm/zYkZ/zzFqnPOaRv//x7z3K/yL2l2yG1+5L/mGUzfvElOys1Syc7dOT28nw1rG/nGbymM+zPn7skz5+zw6u+Zk23oBLPzYLi/eJSd4npmRnrSo6D/urCtSyHvVXlei/T5zk28G+HfgXW2vvAv8d8Ctba3/uBI93ZFevzuqR5ys766Vivcrt6CV0SWWeGVOZjZ21UnGCkHVZYz/MmMo1aGetVJygY412HvsQaBiGPzAMwzcMw/AR4LuAvzUMw796ait7qq2tWT3yfGVnvVSsW6xEL6FLKvPMmMps7KyVihOErGON/TBjKtegnbVScYKONdp5Gj8drEvjcfQK+mRnvVSsYxajl9AllXlmTGU2dtZKxQlC1j2N/TBjKtegnbVScYKONdp50jeGBmAYhr8N/O3TeKzntSry0zbtrJeKdRWNn+moMs+MqczGzlqpOEHI+rrGfpgxlWvQzlqpOEHHGu1M80qgkch+ame9VKwjNO7aKvPMmMps7KyVihOErPc19sOMqVyDdtZKxQk61mhnmkOg5eXoFfTJznqpWJfZmf5JBVKZZ8ZUZmNnrVScIGQ9q7EfZkzlGrSzVipO0LFGO9McAi2KfHu1nfVSsS6i8U28KvPMmMps7KyVihOErAsa+2HGVK5BO2ul4gQda7QzzSHQxkb0CvpkZ71UrBtcil5Cl1TmmTGV2dhZKxUnCFl3NfbDjKlcg3bWSsUJOtZoZ5pDoGvXolfQJzvrpWK9xnr0ErqkMs+MqczGzlqpOEHIuqyxH2ZM5Rq0s1YqTtCxRjvTHALduxe9gj7ZWS8V6z0uRi+hSyrzzJjKbOyslYoThKzvaeyHGVO5Bu2slYoTdKzRzjSHQA8fRq+gT3bWS8X6kLPRS+iSyjwzpjIbO2ul4gQh689q7IcZU7kG7ayVihN0rNHONIdAqyI/bdPOeqlYV9H4mY4q88yYymzsrJWKE4Ssr2vshxlTuQbtrJWKE3Ss0c40h0Ajkf3UznqpWEdo3LVV5pkxldnYWSsVJwhZ72vshxlTuQbtrJWKE3Ss0c40h0Dnz0evoE921kvFep7t6CV0SWWeGVOZjZ21UnGCkPVVjf0wYyrXoJ21UnGCjjXameYQaGEhegV9srNeKtYF9qKX0CWVeWZMZTZ21krFCULWMxr7YcZUrkE7a6XiBB1rtDPNIdDmZvQK+mRnvVSsm1yIXkKXVOaZMZXZ2FkrFScIWd/T2A8zpnIN2lkrFSfoWKOdaQ6Brl+PXkGf7KyXivU6a9FL6JLKPDOmMhs7a6XiBCHrBzX2w4ypXIN21krFCTrWaGeaQ6A7d6JX0Cc766VivcOV6CV0SWWeGVOZjZ21UnGCkPWBxn6YMZVr0M5aqThBxxrtTHMI9OhR9Ar6ZGe9VKyP8txOTpTKPDOmMhs7a6XiBCHroLEfZkzlGrSzVipO0LFGO9PsUtEvmeqVnfVSsfrbwVx0KrOxs1YqThCy+tvB5jaVa9DOWqk4Qcca7UxzCHTrVvQK+mRnvVSst7gRvYQuqcwzYyqzsbNWKk4Qsm5r7IcZU7kG7ayVihN0rNHONIdAKyvRK+iTnfVSsa6wFb2ELqnMM2Mqs7GzVipOELIuauyHGVO5Bu2slYoTdKzRzjSHQM4555xzzjnnnHPu+KU5BNoS+Y8qdtZLxbqFxtG9yjwzpjIbO2ul4gQh61hjP8yYyjVoZ61UnKBjjXamOQS6IfLt1XbWS8V6A41v4lWZZ8ZUZmNnrVScIGQ9r7EfZkzlGrSzVipO0LFGO9McAq2J/KAFO+ulYl1D4+38VeaZMZXZ2FkrFScIWb+ssR9mTOUatLNWKk7QsUY70xwCnUmz0pNlZ71UrGd4FL2ELqnMM2Mqs7GzVipOELI2jf0wYyrXoJ21UnGCjjXameaP+cqV6BX0yc56qVivcCd6CV1SmWfGVGZjZ61UnCBkPaexH2ZM5Rq0s1YqTtCxRjvTHAJFv2SqV3bWS8Xqbwdz0anMxs5aqThByOpvB5vbVK5BO2ul4gQda7QzzSHQhQvRK+iTnfVSsV5gM3oJXVKZZ8ZUZmNnrVScIGR9TWM/zJjKNWhnrVScoGONdqY5BPQpqEUAAB+lSURBVNrbi15Bn+ysl4p1j4XoJXRJZZ4ZU5mNnbVScYKQ9ZHGfpgxlWvQzlqpOEHHGu1Mcwi0vR29gj7ZWS8V6zbno5fQJZV5ZkxlNnbWSsUJQtb3NfbDjKlcg3bWSsUJOtZoZ5pDoNXV6BX0yc56qVhXGUUvoUsq88yYymzsrJWKE4Ssr2vshxlTuQbtrJWKE3Ss0c40h0Ajkf3UznqpWEdo3LVV5pkxldnYWSsVJwhZ72vshxlTuQbtrJWKE3Ss0c4037R89mz0CvpkZ72ea21t+m8ehpd7ssMe80We5xQ6y8Ppn3TStRz1+1/W/vhjL/lnfPbNnwO8+/KzcTNP5b5iZ0zt00/uJ8Nbp/f139v52HGahhftONYX/XN/Gddhj3mq8/3AC+yHLqR5u6/MKjtrNY/OY/6/0VObpfXpNR/8a0Lv/7f+MOes/kwPK80rgS5ejF5Bn+ysl4r1Iveil9AlFWfGZL7W7CyVihOErK95n5jXVK5BO2ul4gQda7QzzSHQ+nr0CvpkZ71UrOtci15Cl1ScGZP5WrOzVCpOELLueJ+Y11SuQTtrpeIEHWu0M80h0KVL0Svok531UrFeYiN6CV1ScWZM5mvNzlKpOEHIuuR9Yl5TuQbtrJWKE3Ss0c40h0DjcfQK+mRnvVSsYxajl9AlFWfGZL7W7CyVihOErHveJ+Y1lWvQzlqpOEHHGu1Mcwi0sxO9gj7ZWS8V6w7L0UvokoozYzJfa3aWSsUJQtaH3ifmNZVr0M5aqThBxxrtTHMItCry0zbtrJeKdRWNn+mo4syYzNeanaVScYKQ9XXvE/OayjVoZ61UnKBjjXamOQQaieyndtZLxTpC466t4syYzNeanaVScYKQ9b73iXlN5Rq0s1YqTtCxRjvTHAItinx7tZ31UrEuovFNvCrOjMl8rdlZKhUnCFkXvE/MayrXoJ21UnGCjjXameYQaGUlegV9srNeKtYVtqKX0CUVZ8ZkvtbsLJWKE4Ssi94n5jWVa9DOWqk4Qcca7UxzCHT7dvQK+mRnvVSst7kavYQuqTgzJvO1ZmepVJwgZN3xPjGvqVyDdtZKxQk61mhnmkOgy5ejV9AnO+ulYr3M3egldEnFmTGZrzU7S6XiBCHrkveJeU3lGrSzVipO0LFGO9McAj14EL2CPtlZLxXrA85FL6FLKs6MyXyt2VkqFScIWb/ifWJeU7kG7ayVihN0rNHONIdAu7vRK+iTnfVSse6yFL2ELqk4MybztWZnqVScIGT9iveJeU3lGrSzVipO0LFGO9McAq2K/LRNO+ulYl1F42c6qjgzJvO1ZmepVJwgZH3d+8S8pnIN2lkrFSfoWKOdaQ6BRiL7qZ31UrGO0LhrqzgzJvO1ZmepVJwgZL3vfWJeU7kG7ayVihN0rNHONIdASyKvrLWzXirWJTRev6nizJjM15qdpVJxgpD1Fe8T85rKNWhnrVScoGONdqY5BDon8h57dtZLxXoOjXdyU3FmTOZrzc5SqThByPqK94l5TeUatLNWKk7QsUY70xwC3RX5aZt21kvFeheNn+mo4syYzNeanaVScYKQddf7xLymcg3aWSsVJ+hYo51pDoGuXo1eQZ/srJeK9Sq3o5fQJRVnxmS+1uwslYoThKzL3ifmNZVr0M5aqThBxxrtTHMItLUVvYI+2VkvFesWK9FL6JKKM2MyX2t2lkrFCULWsfeJeU3lGrSzVipO0LFGO9McAo3H0Svok531UrGOWYxeQpdUnBmT+Vqzs1QqThCy7nmfmNdUrkE7a6XiBB1rtDPNIdCqyE/btLNeKtZVNH6mo4ozYzJfa3aWSsUJQtbXvU/MayrXoJ21UnGCjjXameYQaCSyn9pZLxXrCI27toozYzJfa3aWSsUJQtb73ifmNZVr0M5aqThBxxrtTHMItLwcvYI+2VkvFesyO9FL6JKKM2MyX2t2lkrFCULWs94n5jWVa9DOWqk4Qcca7UxzCLQo8u3VdtZLxbqIxjfxqjgzJvO1ZmepVJwgZF3wPjGvqVyDdtZKxQk61mhnmkOgjY3oFfTJznqpWDe4FL2ELqk4MybztWZnqVScIGTd9T4xr6lcg3bWSsUJOtZoZ5pDoGvXolfQJzvrpWK9xnr0Erqk4syYzNeanaVScYKQddn7xLymcg3aWSsVJ+hYo51pDoHu3YteQZ/srJeK9R4Xo5fQJRVnxmS+1uwslYoThKzveZ+Y11SuQTtrpeIEHWu0M80h0MOH0Svok531UrE+5Gz0Erqk4syYzNeanaVScYKQ9We9T8xrKtegnbVScYKONdqZ5hBoVeSnbdpZLxXrKho/01HFmTGZrzU7S6XiBCHr694n5jWVa9DOWqk4Qcca7UxzCDQS2U/trJeKdYTGXVvFmTGZrzU7S6XiBCHrfe8T85rKNWhnrVScoGONdqY5BDp/PnoFfbKzXirW82xHL6FLKs6MyXyt2VkqFScIWV/1PjGvqVyDdtZKxQk61mjnsQ+BWms3Wmv/Z2vt8621f9xa+12nubCnW1iY5aPPT3bWS8W6wF70Erqk4syYzNeanaVScYKQ9Yz3iXlN5Rq0s1YqTtCxRjtP8kqgPeD3DMPwTwLfCvzbrbWfdzrLerbNzVk98nxlZ71UrJtciF5Cl1ScGZP5WrOzVCpOELK+531iXlO5Bu2slYoTdKzRzmMfAg3DsD4Mwz/Y/+cvA58Hrp/Wwp7u+sweeb6ys14q1uusRS+hSyrOjMl8rdlZKhUnCFk/6H1iXlO5Bu2slYoTdKzRzlN5IVJr7SPALwI+8+zH+BTwFsAnPgEf/zhcuwb37k1+NNrq6uSNkc6fn7wsanNz8ody5w48ejT551u3YGsLPvKRya83bsDaGpw5A1euTP75wgXY24Pt7SePefYsXLwI6+tw6RKMx7Cz8+Tji4uwsgK3b8Ply/DgAezuPvn40hKcOwd378LVq5PnHo+ffHx5efIYGxvHM62sTP6MDppu3YJv+ZZapsPm9LnPwS/7ZTM2vbnIiFWWf/qdLqZD5/T6Tb7MMtd++kcnpv01LTJmhfPc5iqXucsDzrHLEquMGLHKEruc4wF339k3rawyZnH/42+wzA6LjNngEte2D5h4lRGrnGebBfbY5ALXWeMOV3jEGa6zxi1usMLWxNRucoNbrPFRzvCIK9xhjetcYJM9FtjmPKvjfRMf4SL3WOcal9hgzCI7LH91zXf4Or6JfzTdxGWucpstVg6YVr/WxDr3uMhDzn714881taV909dNTKzsm64/37T/mGd5yMV2/rmmxXffeebae5tv5Zfxw4zeOd2vp5s3T+NunDPvE94nwvaJlzDx4NLkFR4fXOMnfuL09onPfAa++Ztf3vTmD9yAVx7A7mVYvs27v+3+V01svAFnd7h371kTX3kV7q+yvj6Z09f94ZuTQ4sHV/ix3/ETXL8O5773JixO9gnGK3D+Fnz5o9Ae0f7gMnz5Ory2CY8W4P3zvPf97zwzpzd/8CLsLcLDZXh9xNvfPebOHfimb4KVT96Epbv81O/YZHf3yZp4ZZfNza+dExtvTH7a1v1V1tYmfy6XPnUTltf5yX9z+6tzYuMNeHWbu3eff+29+aeu7Jve2Ddd5yd+YjInNt74qqn9zptfXfPzrr2vrnlhPPmz2rkKS3fhK+dg4yZ8+Id558A+cfGtm8/MyfvEi+d9wvtEhn1iVn+feHqfePPNyWO9++6zpg9/ePKxt9+erelxd+4cz3Swd9558vHH+8SLzOnxn8Pbbz9runRp8rGf/Mknpsc93ieeuscAk+d9ek5vvPG1n/vFL77Y19PjRqNn5/T220+u3cemg58/632iDcPwYp/5vAdobRn4O8D3DcPwl6Z8+rGf7AtfgI997Li/O092nmKPv5pPeI2fdA1f4KN8bPjC167pRXu89qN+30Hfyz7+aa0BJk5+/PSfP7JDrp0vtI9NnKd/Xc1geCnzPjElO2Nqn37yJTq8dXpf/8d1HlwPfO2aHn/ssHU+/bHDXE8/9rSOep6Dn/PY+iJrOOxxnv78FzU/b03PW8Pz1jLtsb7avY/CxR9/6fW9QN4nJnmfmJKdtXraedRfcXr99eekz3PwrxUHH+NlZvqyfw5P/7vD/mpz1GMd9Tkvu77DnKc0uxfaJ07008Faa68AfxH48y9wAHSiol8y1Ss766Xy7UN2uuhU7it21krFCUJWfzvY3KZyDdpZKxUn6FijnSf56WAN+K+Azw/D8B+f3pIO79atWT/DfGRnvW5xI3oJXbLTRadyX7GzVipOELJue5+Y11SuQTtrpeIEHWu08ySvBPp24LuBX9la++z+//3aU1rXMz3+Psrq2Vmvx++/Uz07XXQq9xU7a6XiBCHroveJeU3lGrSzVipO0LFGO4/9xtDDMPww/t5k55xzzjnnnHPOuRSd6D2BerYl8h9V7KzXFhpH2na66FTuK3bWSsUJQtax94l5TeUatLNWKk7QsUY70xwC3RD59mo763UDjW9utdNFp3JfsbNWKk4Qsp73PjGvqVyDdtZKxQk61mhnmkOgNZEftGBnvdbQeJt7O110KvcVO2ul4gQh65e9T8xrKtegnbVScYKONdqZ5hDoTJqVniw763WGR9FL6JKdLjqV+4qdtVJxgpC1eZ+Y11SuQTtrpeIEHWu0M80f85Ur0Svok531usKd6CV0yU4Xncp9xc5aqThByHrO+8S8pnIN2lkrFSfoWKOdaQ6Bol8y1Ss766Xy7UN2uuhU7it21krFCUJWfzvY3KZyDdpZKxUn6FijnWkOgS5ciF5Bn+ys1wU2o5fQJTtddCr3FTtrpeIEIetr3ifmNZVr0M5aqThBxxrtTHMItLcXvYI+2VmvPRail9AlO110KvcVO2ul4gQh6yPvE/OayjVoZ61UnKBjjXamOQTa3o5eQZ/srNc256OX0CU7XXQq9xU7a6XiBCHr+94n5jWVa9DOWqk4Qcca7UxzCLS6Gr2CPtlZr1VG0Uvokp0uOpX7ip21UnGCkPV17xPzmso1aGetVJygY412pjkEGonsp3bWa4TG3cxOF53KfcXOWqk4Qch63/vEvKZyDdpZKxUn6FijnWkOgc6ejV5Bn+ys11keRi+hS3a66FTuK3bWSsUJQtYPeJ+Y11SuQTtrpeIEHWu0M80h0MWL0Svok531usi96CV0yU4Xncp9xc5aqThByPqa94l5TeUatLNWKk7QsUY70xwCra9Hr6BPdtZrnWvRS+iSnS46lfuKnbVScYKQdcf7xLymcg3aWSsVJ+hYo51pDoEuXYpeQZ/srNclNqKX0CU7XXQq9xU7a6XiBCHrkveJeU3lGrSzVipO0LFGO9McAo3H0Svok531GrMYvYQu2emiU7mv2FkrFScIWfe8T8xrKtegnbVScYKONdqZ5hBoZyd6BX2ys147LEcvoUt2uuhU7it21krFCULWh94n5jWVa9DOWqk4Qcca7UxzCLQq8tM27azXKho/69BOF53KfcXOWqk4Qcj6uveJeU3lGrSzVipO0LFGO9McAo1E9lM76zVC425mp4tO5b5iZ61UnCBkve99Yl5TuQbtrJWKE3Ss0c40h0CLIt9ebWe9FtH45lY7XXQq9xU7a6XiBCHrgveJeU3lGrSzVipO0LFGO9McAq2sRK+gT3bWa4Wt6CV0yU4Xncp9xc5aqThByLrofWJeU7kG7ayVihN0rNHONIdAt29Hr6BPdtbrNlejl9AlO110KvcVO2ul4gQh6473iXlN5Rq0s1YqTtCxRjvTHAJdvhy9gj7ZWa/L3I1eQpfsdNGp3FfsrJWKE4SsS94n5jWVa9DOWqk4Qcca7UxzCPTgQfQK+mRnvR5wLnoJXbLTRadyX7GzVipOELJ+xfvEvKZyDdpZKxUn6FijnWkOgXZ3o1fQJzvrtctS9BK6ZKeLTuW+YmetVJwgZP2K94l5TeUatLNWKk7QsUY70xwCrYr8tE0767WKxs86tNNFp3JfsbNWKk4Qsr7ufWJeU7kG7ayVihN0rNHONIdAI5H91M56jdC4m9npolO5r9hZKxUnCFnve5+Y11SuQTtrpeIEHWu0M80h0JLIK2vtrNcSGq9rtNNFp3JfsbNWKk4Qsr7ifWJeU7kG7ayVihN0rNHONIdA50TeY8/Oep1D4x3O7HTRqdxX7KyVihOErK94n5jXVK5BO2ul4gQda7QzzSHQXZGftmlnve6i8bMO7XTRqdxX7KyVihOErLveJ+Y1lWvQzlqpOEHHGu1Mcwh09Wr0CvpkZ72ucjt6CV2y00Wncl+xs1YqThCyLnufmNdUrkE7a6XiBB1rtHMh9ulfvK0teP316FXMPjtnWGtP/nkYpn/s4L97kZ5+zP22WOHY1BdZw8uucxZr4LFze7Zr6d0h18Whzsef95xrwPXJ989ancTZPv3ka3d4a/Zflwef7+nnPWot7dMNtj4MKz916Oc/7/e97LoO+/2HPc9h/+5lnmfq5+xbj7uGpz92GoaXeb4XbrwCi9vH//1uZmW+f77M/6sx786j/l/yl+lFnS/6fCf9f+dm9Twv4jzuXwcO+30vsvbjdtjvP/jnsbUFKytHr+Vl1jDrvya9yPMd9u/efXcy097re1yaVwKNx9Er6JOd9RqzGL2ELtnpolO5r9hZrD2he4qKVcWZMJX7ip21UnGCjjXameYQaFXkp23aWa9VNH7WoZ0uOpX7ip3Fel3onqJiVXEmTOW+YmetVJygY412pjkEGonsp3bWa4TG3cxOF53KfcXOYt0XuqeoWFWcCVO5r9hZKxUn6FijnWkOgZaXo1fQJzvrtcxO9BK6ZKeLTuW+YmexzgrdU1SsKs6EqdxX7KyVihN0rNHONIdAiyLfXm1nvRbR+OZWO110KvcVO4u1IHRPUbGqOBOmcl+xs1YqTtCxRjvTHAJtbESvoE921muDS9FL6JKdLjqV+4qdxdoVuqeoWFWcCVO5r9hZKxUn6FijnWkOga5di15Bn+ys1zXWo5fQJTtddCr3FTuLtSx0T1GxqjgTpnJfsbNWKk7QsUY70xwC3bsXvYI+2Vmve1yMXkKX7HTRqdxX7CzWe0L3FBWrijNhKvcVO2ul4gQda7QzzSHQw4fRK+iTnfV6yNnoJXTJThedyn3FzmL9rNA9RcWq4kyYyn3FzlqpOEHHGu1Mcwi0KvLTNu2s1yoaP+vQThedyn3FzmK9LnRPUbGqOBOmcl+xs1YqTtCxRjvTHAKNRPZTO+s1QuNuZqeLTuW+Ymex7gvdU1SsKs6EqdxX7KyVihN0rNHONIdA589Hr6BPdtbrPNvRS+iSnS46lfuKncV6VeieomJVcSZM5b5iZ61UnKBjjXamOQRaWIheQZ/srNcCe9FL6JKdLjqV+4qdxTojdE9Rsao4E6ZyX7GzVipO0LFGO9McAm1uRq+gT3bWa5ML0Uvokp0uOpX7ip3Fek/onqJiVXEmTOW+YmetVJygY412pjkEun49egV9srNe11mLXkKX7HTRqdxX7CzWB4XuKSpWFWfCVO4rdtZKxQk61mhnmkOgO3eiV9AnO+t1hyvRS+iSnS46lfuKncV6IHRPUbGqOBOmcl+xs1YqTtCxRjvTHAI9ehS9gj7ZWa9Heb7MTpSdLjqV+4qdxRqE7ikqVhVnwlTuK3bWSsUJOtZoZ5pdKvolU72ys14q3z5kp4tO5b5iZ7GUvnVIxariTJjKfcXOWqk4Qcca7UxzCHTrVvQK+mRnvW5xI3oJXbLTRadyX7GzWNtC9xQVq4ozYSr3FTtrpeIEHWu0M80h0MpK9Ar6ZGe9VtiKXkKX7HTRqdxX7CzWotA9RcWq4kyYyn3FzlqpOEHHGu1McwjknHPOOeecc845545fmkOgLZH/qGJnvbbQONK200Wncl+xs1hjoXuKilXFmTCV+4qdtVJxgo412pnmEOiGyLdX21mvG2h8c6udLjqV+4qdxTovdE9Rsao4E6ZyX7GzVipO0LFGO9McAq2J/KAFO+u1hsbb3NvpolO5r9hZrC8L3VNUrCrOhKncV+yslYoTdKzRzjSHQGfSrPRk2VmvMzyKXkKX7HTRqdxX7CxWE7qnqFhVnAlTua/YWSsVJ+hYo51p/pivXIleQZ/srNcV7kQvoUt2uuhU7it2Fuuc0D1FxariTJjKfcXOWqk4Qcca7UxzCBT9kqle2VkvlW8fstNFp3JfsbNYSt86pGJVcSZM5b5iZ61UnKBjjXamOQS6cCF6BX2ys14X2IxeQpfsdNGp3FfsLNZrQvcUFauKM2Eq9xU7a6XiBB1rtDPNIdDeXvQK+mRnvfZYiF5Cl+x00ancV+ws1iOhe4qKVcWZMJX7ip21UnGCjjXameYQaHs7egV9srNe25yPXkKX7HT/f3t3ECrXXcVx/Psj+opoURtRQhtiKtlkpUFiQenSJtk8BYW40C4UN0Z04SLSRV+XCroQigsxUEXMRsVsREUEV9aqpGlCSPusDcY8GqhQddNoPS7uDY4vM0/fzLz533vO7wOXmbmZN+//y5mcA3/uTFqr0lecM5nXCvWUKlmr5ByhKn3FOXOpkhPqZG2dczSbQIcOtV7BajhnPoe43noJK+Gc1lqVvuKcyby1UE+pkrVKzhGq0lecM5cqOaFO1tY5R7MJdL3IPHXOfK5To5s5p7VWpa84ZzKvFuopVbJWyTlCVfqKc+ZSJSfUydo650KbQJJOSLomaVPS2WUtapq1tb189eFwznzWuN16CSvhnNZalb7inMnsK9RTqmStknOEqvQV58ylSk6ok7V1zrk3gSTtA54ETgJHgU9IOrqshW23f/9evfKwOGc++3ml9RJWwjmttSp9xTmTeVOhnlIla5WcI1SlrzhnLlVyQp2srXMuciXQcWAzIl6MiNvAeWB9Ocu629bWXr3ysDhnPlscaL2ElXBOa61KX3HOZP5eqKdUyVol5whV6SvOmUuVnFAna+ucioj5flD6GHAiIj7TP/4k8IGIOPPfz2MDeLx/+EQEG/P9Pjbm/dkxcc58qmR1TpuX58TuOGcuVXJCnaxVcq6S58TuOGcuVXJCnaytcy6yCfRx4JFtm0DHI+LzS1zfxO8jItBevPaQOGc+VbI6p7VWpTbOmUuVnFAna5WcY1SlNs6ZS5WcUCdr65yLfBzsBnBw4vEDwM3FlmNmZmZmZmZmZnthkU2gZ4Ajkg5LWgNOAxeWsywzMzMzMzMzM1umN8z7gxHxT0lngJ8C+4BzEXFlaSu72xN7+NpD4pz5VMnqnNZaldo4Zy5VckKdrFVyjlGV2jhnLlVyQp2sTXPO/Z1AZmZmZmZmZmY2Hot8HMzMzMzMzMzMzEbCm0BmZmZmZmZmZgUMfhNI0glJ1yRtSjrbej3LJuklSc9Juijpt/25+yT9XNIL/e3bW69ztySdk3RL0uWJc1NzqfONvsaXJB1rt/LdmZFzQ9Kf+5pelHRq4s++3Oe8JumRNqvePUkHJf1S0lVJVyR9oT+fqqY75ExX00wyz4msMwI8J7L1FM+JfDXNxHPCc2LIPCdy1XQUcyIiBnvQfeH0H4AHgTXgWeBo63UtOeNLwDu2nfsqcLa/fxb4Sut1zpHrYeAYcPl/5QJOAT8BBDwEPN16/Qvm3AC+NOW5R/v38D3A4f69va91hv8z5wHgWH//XuD5Pk+qmu6QM11NsxzZ50TWGdGv3XPi7ueOtqd4TuSraZbDc8JzYuiH50Sumo5hTgz9SqDjwGZEvBgRt4HzwHrjNa3COvBUf/8p4CMN1zKXiPgV8Jdtp2flWge+E51fA2+TdGA1K13MjJyzrAPnI+K1iPgjsEn3Hh+8iNiKiN/39/8GXAXuJ1lNd8g5y2hrmkjFOTH6GQGeEzOMtqd4Tsw02pom4jnhOTFonhO5ajqGOTH0TaD7gT9NPL7Bzn+BYxTAzyT9TtJn+3Pviogt6N5EwDubrW65ZuXKWOcz/WWL5yYuwU2RU9K7gfcBT5O4pttyQuKajlz2GlSaEZC4p0yRtqd4TuSr6chlr4HnRCdjndP2FM+JtjUd+iaQppzL9n/afzAijgEngc9Jerj1ghrIVudvAu8B3gtsAV/rz48+p6S3AD8AvhgRf93pqVPOjSbrlJxpa5pA9hp4RnSy1TltT/GcyFfTBLLXwHOik63OaXuK50T7mg59E+gGcHDi8QPAzUZr2RMRcbO/vQX8iO7Sr5fvXOrW395qt8KlmpUrVZ0j4uWIeD0i/gV8i/9czjfqnJLeSNfIvhcRP+xPp6vptJxZa5pE6hoUmxGQsKdMk7WneE7kq2kSqWvgOTH+njJN1p7iOTGMmg59E+gZ4Iikw5LWgNPAhcZrWhpJb5Z07537wIeBy3QZH+2f9ijw4zYrXLpZuS4An+q/Af4h4NU7lwSO0bbPqn6UrqbQ5Twt6R5Jh4EjwG9Wvb55SBLwbeBqRHx94o9S1XRWzow1TSTtnCg4IyBZT5klY0/xnMhX00Q8JzwnRidjT/GcGFBNYwDfoL3TQfet4M/TfUv2Y63Xs+RsD9J9E/izwJU7+YD9wC+AF/rb+1qvdY5s36e7zO0fdLubn56Vi+4SuCf7Gj8HvL/1+hfM+d0+xyW6f9QHJp7/WJ/zGnCy9fp3kfNDdJclXgIu9sepbDXdIWe6mmY6ss6JzDOiz+E5kaineE7kq2mmw3PCc2LIh+dErpqOYU6o/6VmZmZmZmZmZpbY0D8OZmZmZmZmZmZmS+BNIDMzMzMzMzOzArwJZGZmZmZmZmZWgDeBzMzMzMzMzMwK8CaQmZmZmZmZmVkB3gQyMzMzMzMzMyvAm0BmZmZmZmZmZgX8G/O/erLyxA0JAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x504 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_result(red, green, blue):\n",
    "    bins = np.linspace(0, 256, 128)\n",
    "    \n",
    "    fig, (ax1, ax2, ax3) = plt.subplots(1, 3, sharey=True)\n",
    "    \n",
    "    for ax in [ax1, ax2, ax3]:\n",
    "        ax.spines[\"top\"].set_visible(False)\n",
    "        ax.spines[\"right\"].set_visible(False)\n",
    "        ax.spines[\"left\"].set_visible(False)\n",
    "        ax.spines[\"bottom\"].set_visible(False)\n",
    "        ax.grid(color='b', linestyle='--', linewidth=0.5, alpha=0.3)\n",
    "        ax.tick_params(direction='out', color='b', width='1')\n",
    "        \n",
    "    ax1.set_title('Red')\n",
    "    ax2.set_title('Green')\n",
    "    ax3.set_title('Blue')\n",
    "\n",
    "    ax1.hist(red, bins, color=\"red\", alpha=1)\n",
    "    ax2.hist(green, bins, color=\"green\", alpha=1)\n",
    "    ax3.hist(blue, bins, color=\"blue\", alpha=1)\n",
    "    \n",
    "plt.rcParams['figure.figsize'] = [20, 7]\n",
    "plot_result(hgr, hgg, hgb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}