03_Plotting_solution.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# (Interactive) Plotting using Matplotlib and Seaborn\n",
    "\n",
    "[Matplotlib](http://matplotlib.org) is basic plotting library for Python inspired by Matlab. [Seaborn](http://stanford.edu/~mwaskom/software/seaborn) is built on top of it with integrated analysis and specialized plots + pretty good integration with Pandas\n",
    "\n",
    "Also see [the full gallery of Seaborn](http://stanford.edu/~mwaskom/software/seaborn/examples/index.html) or [Matplotlib](http://matplotlib.org/gallery.html).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#disable some annoying warning\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore', category=FutureWarning)\n",
    "\n",
    "#plots the figures in place instead of a new window\n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car</th>\n",
       "      <th>mpg</th>\n",
       "      <th>cyl</th>\n",
       "      <th>disp</th>\n",
       "      <th>hp</th>\n",
       "      <th>drat</th>\n",
       "      <th>wt</th>\n",
       "      <th>qsec</th>\n",
       "      <th>vs</th>\n",
       "      <th>am</th>\n",
       "      <th>gear</th>\n",
       "      <th>carb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mazda RX4</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6</td>\n",
       "      <td>160</td>\n",
       "      <td>110</td>\n",
       "      <td>3.90</td>\n",
       "      <td>2.620</td>\n",
       "      <td>16.46</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mazda RX4 Wag</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6</td>\n",
       "      <td>160</td>\n",
       "      <td>110</td>\n",
       "      <td>3.90</td>\n",
       "      <td>2.875</td>\n",
       "      <td>17.02</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Datsun 710</td>\n",
       "      <td>22.8</td>\n",
       "      <td>4</td>\n",
       "      <td>108</td>\n",
       "      <td>93</td>\n",
       "      <td>3.85</td>\n",
       "      <td>2.320</td>\n",
       "      <td>18.61</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hornet 4 Drive</td>\n",
       "      <td>21.4</td>\n",
       "      <td>6</td>\n",
       "      <td>258</td>\n",
       "      <td>110</td>\n",
       "      <td>3.08</td>\n",
       "      <td>3.215</td>\n",
       "      <td>19.44</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hornet Sportabout</td>\n",
       "      <td>18.7</td>\n",
       "      <td>8</td>\n",
       "      <td>360</td>\n",
       "      <td>175</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.440</td>\n",
       "      <td>17.02</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 car   mpg  cyl  disp   hp  drat     wt   qsec  vs  am  gear  \\\n",
       "0          Mazda RX4  21.0    6   160  110  3.90  2.620  16.46   0   1     4   \n",
       "1      Mazda RX4 Wag  21.0    6   160  110  3.90  2.875  17.02   0   1     4   \n",
       "2         Datsun 710  22.8    4   108   93  3.85  2.320  18.61   1   1     4   \n",
       "3     Hornet 4 Drive  21.4    6   258  110  3.08  3.215  19.44   1   0     3   \n",
       "4  Hornet Sportabout  18.7    8   360  175  3.15  3.440  17.02   0   0     3   \n",
       "\n",
       "   carb  \n",
       "0     4  \n",
       "1     4  \n",
       "2     1  \n",
       "3     1  \n",
       "4     2  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#use a standard dataset of heterogenous data\n",
    "cars = pd.read_csv('data/mtcars.csv')\n",
    "cars.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatterplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAEZCAYAAAB7HPUdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10154d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x=cars['mpg'],y=cars['wt'])\n",
    "plt.xlabel('miles per gallon')\n",
    "plt.ylabel('weight')\n",
    "plt.title('MPG vs WT')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1012bdd8>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAERCAYAAACXT3dwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10199d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#integrated in pandas, too\n",
    "cars.plot(x='mpg',y='wt',kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10111198>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD2CAYAAAAtW8c3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xed66780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cars.plot(kind='scatter', x='mpg',y='wt',c='hp',s=cars['cyl']*20,alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xedb7e48>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAECCAYAAADuGCyPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xed70470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#what if we plot everything?\n",
    "cars.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10d0da20>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAECCAYAAADjBlzIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAADQ5JREFUeJzt3H+MpHV9wPH3LndLOXfdcDpn4nk505j71KRpUNrQYiMQ\naVMshoZ/bBBtTVptpQkxVhRo6I9oITFAta3EnKFQYquFnKhttCTVcql/aGwutUb8nLSFkwRlvVnP\nGw6Eu93+scPt3uV2d57H2R0+N+/XX8/Mztx87st33/vwzM5NLC4uIkmqa3LUA0iSfjqGXJKKM+SS\nVJwhl6TiDLkkFWfIJam4Les9ICIuAm7LzMsi4gLgY8AJ4CfAOzLzqQ2eUZK0hjXPyCPiBmAvcG7/\nrr8C/igzLwP2AR/Y2PEkSetZ79LKo8DVwET/9m9n5jf7x1uBZzZqMEnSYNYMeWbuA46vuP19gIi4\nGLgOuHNDp5Mkravxm50R8VbgLuDNmXl4+CNJkppY983OlSLiWuBdwKWZOT/IcxYXFxcnJibWf+AY\nOHjwIG+/8R/YNrtj1KNsumNHnuK+W69hz549ox5FqmLgcA4a8sWImAQ+CjwO7IsIgIcz88/WnGRi\ngrm5o4POc9bbNruD6fN3jnqMkeh2eyf3Qqcz477ocy2WuRbLOp2ZgR+7bsgz8zHg4v7Nl7UbSZK0\nUfxAkCQVZ8glqThDLknFGXJJKs6QS1JxhlySijPkklScIZek4gy5JBVnyCWpOEMuScUZckkqzpBL\nUnGGXJKKM+SSVJwhl6TiDLkkFWfIJak4Qy5JxRlySSrOkEtScYZckooz5JJUnCGXpOIMuSQVZ8gl\nqThDLknFGXJJKs6QS1JxW9Z7QERcBNyWmZdFxGuAe4AF4FvAdZm5uLEjSpLWsuYZeUTcAOwFzu3f\ndQdwU2a+EZgArtrY8SRJ61nv0sqjwNUsRRvg9Zm5v3/8ReDyjRpMkjSYNUOemfuA4yvumlhx3ANm\nN2IoSdLgmr7ZubDieAb40RBnkSS1sO6bnac5EBGXZObDwBXAvw3ypE5npvFgZ6P5+SdHPcJIbd8+\nfcpecF8scy2WuRbNDRryF34z5X3A3oiYAr4NPDDIk+fmjrYYTWebbrd3ci90OjPuiz7XYplrsazJ\nD7R1Q56ZjwEX94+/C1zaci5J0gbwA0GSVJwhl6TiDLkkFWfIJak4Qy5JxRlySSrOkEtScYZckooz\n5JJUnCGXpOIMuSQVZ8glqThDLknFGXJJKs6QS1JxhlySijPkklScIZek4gy5JBVnyCWpOEMuScUZ\nckkqzpBLUnGGXJKKM+SSVJwhl6TiDLkkFWfIJak4Qy5JxRlySSpuS9MnRMRW4F5gN3AC+P3MzGEP\nJkkaTJsz8jcD52TmG4C/AD483JEkSU20CXkCWyJiApgFnhvuSJKkJhpfWgGeBl4NfAd4OXDlMAfS\n2WnhxHEOHXr85O35+Wm63d4IJ9pcu3btZmpqatRj6CzVJuTvBb6UmTdHxKuAL0fEz2fmqmfmnc5M\n6wHPJvPzT456hJF5tneY2z/TZdvs+K3BsSNPcd+t17Bz555VH+P3yDLXork2Ie8Cz/eP54GtwDlr\nPWFu7miLl9HZZtvsDqbP3znqMUai2+2t+n3Q6cz4PdLnWixr8gOtTcjvBO6OiP3AFHBjZj7T4s+R\nJA1B45Bn5tPAWzdgFklSC34gSJKKM+SSVJwhl6TiDLkkFWfIJak4Qy5JxRlySSrOkEtScYZckooz\n5JJUnCGXpOIMuSQVZ8glqThDLknFGXJJKs6QS1JxhlySijPkklScIZek4gy5JBVnyCWpOEMuScUZ\nckkqzpBLUnGGXJKKM+SSVJwhl6TiDLkkFWfIJam4LW2eFBE3Am8BpoCPZ+bdQ51KkjSwxmfkEXEp\n8CuZeTFwCbBr2ENJkgbX5oz814H/jogHgZcC7x/uSJKkJtqEvMPSWfiVwM8Cnwd+bphDSZIG1ybk\nPwQeyczjwMGIeDYiXp6ZP1ztCZ3OzMnjXq/HVe94Py/ZPn5XZA5//zGmdlww6jE0Atu3T5/yfXC6\ntb42blyL5tqE/D+A64E7IuKVwEuAw2s9YW7u6MnjXq/H5PRuFmdf2+Kla1v88agn0Kh0u71Tvg9W\n6nRmVv3auHEtljX5gdb4zc7M/BfgQER8naXLKu/JzMWmf44kaTha/fphZn5g2INIktrxA0GSVJwh\nl6TiDLkkFWfIJak4Qy5JxRlySSrOkEtScYZckooz5JJUnCGXpOIMuSQVZ8glqThDLknFGXJJKs6Q\nS1JxhlySijPkklScIZek4gy5JBVnyCWpOEMuScUZckkqzpBLUnGGXJKKM+SSVJwhl6TiDLkkFWfI\nJak4Qy5JxW1p+8SI2AH8J/CmzDw4vJEkSU20OiOPiK3AJ4CnhzuOJKmptpdWPgLcBTw5xFkkSS00\nvrQSEb8LzGXmQxFxIzAx9KkknRWee+45vve9xwd+/Pz8NN1ubwMn2ly7du1mampqw1+nzTXydwKL\nEXE5cAFwb0RclZk/WO0Jnc7MyePzzptgctL3WDVetm+fPuX74HRrfa2ygwcPcv1HPs+22R2jHmXT\nHTvyFPfdeg07d+7Z8NdqHPLMvOSF44j4CvDutSIOMDd39ORxr9djYWGh6ctKpXW7vVO+D1bqdGZW\n/Vp13W6PbbM7mD5/56hHGYm1/ruvp8kPd0+NJam41r9+CJCZlw1rEElSO56RS1JxhlySijPkklSc\nIZek4gy5JBVnyCWpOEMuScUZckkqzpBLUnGGXJKKM+SSVJwhl6TiDLkkFWfIJak4Qy5JxRlySSrO\nkEtScYZckooz5JJUnCGXpOIMuSQVZ8glqThDLknFGXJJKs6QS1JxhlySijPkklScIZek4gy5JBW3\npekTImIrcDewGzgX+FBmfmHYg0mSBtPmjPxtwFxmvhH4DeBvhjuSJKmJxmfkwP3AA/3jSeD48MaR\nJDXVOOSZ+TRARMywFPWbhz2UJGlwbc7IiYhdwD7gbzPz08MdSTq7LJw4zqFDj6/69fn5abrd3iZO\ntHnW+ntreNq82fkK4CHgPZn5lUGe0+nMnDw+77wJJif9ZRmNj2d7h7n9M122zT456lE23eEnHuFl\nr3rtqMcYme3bp0/p30Zpc0Z+EzAL3BIRt/TvuyIzn13tCXNzR08e93o9FhYWWrysVNe22R1Mn79z\n1GNsumNHfjDqEUaq2+2d0r8mmvwAaHON/Hrg+qbPkyRtDK9xSFJxhlySijPkklScIZek4gy5JBVn\nyCWpOEMuScUZckkqzpBLUnGGXJKKM+SSVJwhl6TiDLkkFWfIJak4Qy5JxRlySSrOkEtScYZckooz\n5JJUnCGXpOIMuSQVZ8glqThDLknFGXJJKs6QS1JxhlySijPkklScIZek4gy5JBW3pekTImIS+Djw\nC8BPgN/LzP8Z9mCSpMG0OSP/LWAqMy8GPgjcPtyRJElNtAn5G4AvAWTm14BfHOpEkqRG2oT8pcCP\nV9w+0b/cIkkagcbXyFmK+MyK25OZudDkD3j+yP8xNXm8xUvXNnHsEMdOvHLUY4zEM0e7wMSoxxgJ\n/+7j+Xc/duSpTXutNiH/KvAW4P6I+GXgm+s8fqLTWe5+pzPDv3/uEy1eVpJ0Jm1C/lng1yLiq/3b\n7xziPJKkhiYWFxdHPYMk6afgm5SSVJwhl6TiDLkkFWfIJam4Nr+1sqaIuAi4LTMvi4jXAPcAC8C3\ngOsyc2zeXT1tLV4HfAH4bv/Ld2XmP41uus0REVuBu4HdwLnAh4BHGMN9scpaPAH8M3Cw/7Bx2Rfn\nAHuBPcAi8Acs/dtN9zB+++JMazFFg30x1JBHxA3AtUCvf9cdwE2ZuT8i7gKuAh4c5mu+WJ1hLS4E\n7sjMO0Y31Ui8DZjLzLdHxPnAfwEHGM99caa1+HPg9jHcF1cCC5n5qxFxCfCX/fvHcV+cvhYfZumk\nb+B9MexLK48CV7P8Ua7XZ+b+/vEXgcuH/HovZqevxYXAb0bEwxHxyYiYHt1om+p+4Jb+8STwPOO7\nL860FmO5LzLzc8C7+zdfDcwDF47jvjjDWvyIhvtiqCHPzH3Ays/er/xsbg+YHebrvZidYS2+Bvxx\nZl4C/C/wpyMZbJNl5tOZ2YuIGZZC9iecuu/GZl+cYS1uBr7OGO4LgMw8ERH3Ah8FPsV49+L0tWi0\nLzb6zc6V/wbLDEs/acbVZzPzQP/4QeB1oxxmM0XELuDLwN9n5j8yxvvitLX4NGO8LwAy83eAAD4J\n/MyKL43VvoBT1mIv8FCTfbHRIT/Qv+YDcAWwf60Hn+X+NSJ+qX/8JuAboxxms0TEK4CHgBsy857+\n3WO5L1ZZi3HdF9dGxAf7N58BTgDfGNN9cfpaLAD7muyLof/WSt8L7zS/D9gbEVPAt4EHNuj1Xsxe\nWIs/BP46Ip4HngTeNbqRNtVNLP0v8i0R8cL14euBj43hvjjTWrwXuHMM98U+4O8i4mFgK0t74juM\nZy/OtBZP0KAX/lsrklScHwiSpOIMuSQVZ8glqThDLknFGXJJKs6QS1JxhlySijPkklTc/wOkrj4G\n6QLWeAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cba470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cars['mpg'].hist(bins=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10d9aa58>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAEKCAYAAAAPVd6lAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZ5BLUuEMckkq3P8B3TGT9xLPoi4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d36278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(cars['mpg'],bins=5)\n",
    "plt.title('miles per gallon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10ded940>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAERCAYAAAB4jRxOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d363c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#seaborn not just a histogram but also an kernel density enstimation and better default settings\n",
    "sns.distplot(cars['mpg'],bins=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Box Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10e7ed30>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAECCAYAAADelD2uAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e84f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#box plots\n",
    "cars['mpg'].plot(kind='box')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'boxes': [<matplotlib.lines.Line2D at 0x1004de10>],\n",
       " 'caps': [<matplotlib.lines.Line2D at 0xeffa668>,\n",
       "  <matplotlib.lines.Line2D at 0x100ab5c0>],\n",
       " 'fliers': [<matplotlib.lines.Line2D at 0x101b4160>],\n",
       " 'means': [],\n",
       " 'medians': [<matplotlib.lines.Line2D at 0x100e3240>],\n",
       " 'whiskers': [<matplotlib.lines.Line2D at 0xefea4e0>,\n",
       "  <matplotlib.lines.Line2D at 0xefea208>]}"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAECCAYAAADelD2uAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110f4b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cars.boxplot('mpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xed90048>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAAEcCAYAAAAiOsTUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nHM7tSdZ77S8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xf044240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#group by gear\n",
    "cars.boxplot('mpg', by='gear')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['continent', 'year', 'lifeExp', 'pop', 'gdpPercap'], dtype='object')"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load gapminder again and select 2007\n",
    "gap = pd.read_csv('data/gapminder-unfiltered.tsv',index_col=0, sep='\\t')\n",
    "gap2007 = gap[gap.year == 2007]\n",
    "gap2007.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Log Scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1012e128>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZMAAAEMCAYAAAABLFv3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAYH4vE4qn7LDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x100923c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gap2007.plot(kind='scatter', x='lifeExp',y='gdpPercap')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "unbalanced with outliers what about log scale?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYkAAAETCAYAAADDIPqYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1018a160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gap2007.plot(kind='scatter', x='lifeExp',y='gdpPercap')\n",
    "plt.yscale('log')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grouping / Coloring Plots\n",
    "\n",
    "grouped by color?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABGCAYAAABv7kdbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAAYZJREFUeJzt2DEuRVEYRtH7PAyIUq+QiELCCBTqF61CK2qFEZAoRKLQ\nKxkQkWsCorv7Cmu1f/NVOydnMY7jAEBjbe4BAP+J6AKERBcgJLoAIdEFCIkuQGj9p+P7x+e4ubGs\ntgD8CSdPb8PN3tbiu9uP0d3cWA77q4dpVv0Cj1cHw9Ht6dwzJnN3fD28HBzOPWMyOw/3w8Xqce4Z\nkzi/2h9en8/mnjGZ7d3L4eTpbe4Zs/C9ABASXYCQ6AKERBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ\n6AKERBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ6AKERBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ6AKE\nRBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ6AKERBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ6AKERBcg\nJLoAIdEFCIkuQEh0AUKiCxASXYCQ6AKERBcgJLoAIdEFCC3GcZx7A8C/4aULEBJdgJDoAoREFyAk\nugAh0QUIfQHQuR6AY7gr5QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1115b908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#create a color palette\n",
    "colors = sns.color_palette()\n",
    "sns.palplot(colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x123193c8>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEECAYAAAAmiP8hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nISLc/wM80aEZiu/iswAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa5ce7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#for each group create an own plot an overlay them\n",
    "for (name, group),color in zip(gap2007.groupby('continent'),colors):\n",
    "    plt.scatter(x=group['lifeExp'],y=group['gdpPercap'],label=name, c=color,s=30)\n",
    "plt.yscale('log')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x125c7ba8>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAACPwAAASNCAYAAADdWdJVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nvi8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12663470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#playing with categories ... seaborn is pretty good with it\n",
    "plt.figure(figsize=(40,20))\n",
    "plt.subplot(121)\n",
    "sns.boxplot(x='continent',y='gdpPercap',data=gap)\n",
    "\n",
    "plt.subplot(122)\n",
    "sns.violinplot(x='continent',y='gdpPercap',data=gap2007)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x12663710>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAskAAALKCAYAAADAocxDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3WlsXFl/HvjnLrWxuIsUiy11t7rVrauN2iiJWjp+X79x\nxrFfTDzxLPngwIPZ7CwTeJANgTGI58MsRjIxBh4YnskgE3sMxMjmJR7nHRtxvL3qFiVSGympb6sX\n9criomLtdddz5kNVkSyKq3hrf35AoyVeVd3TaunUn+ee838UKSWIiIiIiGid2uwBEBERERG1GhbJ\nRERERESbsEgmIiIiItqERTIRERER0SYskomIiIiINmGRTERERES0CYtk6hiGYfyKYRj/+S6/5p8a\nhvF6gPccMAzjNw/w+v/BMIyfC2o8REQH1e5zKedVCgqLZOoksvLPTr6NYP/cDwG4cIDXs1E5EbWa\ndp1L5YYfEx2Y3uwBEB2EYRi/AOC7AL4BoAH4w8rX/ycA3wEwDGAFwI8D+C8AvAbgdw3D+AEAfxbA\n3wQQq/zzX5um+aeGYfxNAD8JQAC4Y5rmXzEMQwPwDwF8q3KfXzFN838D8IsAXjMM41+bpvkfbxjX\nVQD/56bhZk3T/FYdfhuIiA6kQ+ZS5eC/E0TrWCRT2zIM4z9BeeXhNMqrEI8qXz8O4IRpmtcrP/9V\nAD9hmubPG4bx0wB+FEAawE8D+K5pminDMP5LAH/HMIz3Afw9AOMoT+y/ZBjGawD+AgBpmuakYRgR\nAL9nGMYMgL8B4I82TuoAYJrmHQAX6/xbQER0YJxLibbGIpna2bcA/GvTNH0AK4Zh/FsAimmanxiG\n8bcNw/gpAAaA6wA+3vhC0zSFYRh/EcBfMAzDqLyXZ5qmX5ncZwD8NoBfMk3zG8MwfgjAecMwvlN5\niziAswC+2mpghmFMAfg/Nn05Z5rmDwTxH05EFCDOpURbYJFM7Uyi/LiuygMAwzAmAfwzAP8IwL+s\nfL3mMZxhGL0oT96/CuCPADwE8N8CgGma/1FlYv5RAP+fYRg/gfLeu79jmuZvVV5/CEABQGKrgZmm\nOQ2ufhBRe+BcSrQFHtyjdvbvAPynhmGEDcMYAvDnK1//AZQf2/1jAE8B/DDWPwA8ACEAJwD4AP4X\nlCf2HwWgGYYxYhjGUwDzpmn+HIDfB3AOwL8H8FOGYeiVD4VbAK5W3o/fbBJRO+u0uZR7kykQLJKp\nbZmm+W9QnpTnUX6c9xjlFZF/jvLjvIcA/gDAAwBvVV72/wL4XZT30T0A8CGAWQA5AG+YprmC8iGR\nu5V9coMA/inKj/ueAbgP4C6Af2Ka5p8ASAL4wjCMPzjAfwpPYhNR03TgXLqX7hxEu1Kk5J8jIiIi\nIqKN6vaY2DCMEID/G8CbACIA/keUH9f8CsonXecB/HXTNFmlExEREVFLqed2i58AsFw5gfrnAfwS\nypv/f7byNQXAj9Xx/kREREREr6SeRfK/BPD3N9zHBXCpsvcIAL4H4IfqeH8iIiIioldSt+0WpmkW\nAMAwjD6UC+b/HsD/uuGX5AEM1Ov+RERERESvqq6tqwzDeB3Ab6DcRPzXDcP4Bxsu96F8KnZHUkqp\nKOzmQkRdK7AJkPMpEXW5fU2A9Ty4N4ZyX8S/ZprmH1a+fN8wjG+ZpvnHAH4E5ZYyO1IUBcvLuXoN\nc19GR/taZiwAx7ObVhpPK40F4Hh20kpjAcrjCQrn0+1xPDtrpfG00lgAjmc3rTSe/c6n9VxJ/lmU\nt1P8fcMwqnuTfwbALxqGEQbwBMC/quP9iYiIiIheST33JP8MykXxZt+u1z2JiIiIiILAxD0iIiIi\nok1YJBMRERERbcIimYiIiIhoExbJRERERESbsEgmIiIiItqERTIRERER0SYskomIiIiINmGRTERE\nRES0CYtkIiIiIqJNWCQTEREREW3CIpmIiIiIaBMWyUREREREm7BIJiIiIiLahEUyEREREdEmLJKJ\niIiIiDZhkUxEREREtAmLZCIiIiKiTVgkExERERFtwiKZiIiIiGgTFslERERERJuwSCYiIiIi2oRF\nMhERERHRJiySiYiIiIg2YZFMRERERLQJi2QiIiIiok1YJBMRERERbcIimYiIiIhoExbJRERERESb\nsEgmIiIiItqERTIRERER0SYskomIiIiINmGRTERERES0CYtkIiIiIqJNWCQTEREREW3CIpmIiIiI\nOt5/9s//qrafX88imYiIiIg6lud7WCm+AICh/bxOr89wiIiIiIiaq+RaSNtZqKoCAHI/r2WRTERE\nREQdRUqJtJ2F5VlQ1VfbOMEimYiIiIg6huu7WLUyEBCvXCADLJKJiIiIqEMUnAJybgGKokCBcqD3\nYpFMRERERG1NSIG0lYYjXChKMH0pWCQTERERUduyfQdpOwMAgRXIAItkIiIiImpTOSeHglsMtDiu\nYpFMRERERG1FSIFUKQ1fenUpkAEWyURERETURkquhYyThaIogHKww3k7YZFMRERERC1PSomMnUXp\nAL2P94NFMhERERG1NM/3kLLSB+59vB8skomIiIioZRXcInJ2DoqqHrj38X6wSCYiIiKillPT+7hB\nq8cbsUgmIiIiopbi+A5W69D7eD9YJBMRERFRy6hn7+P9YJFMRERERE3XiN7H+8EimYiIiIiayqr0\nPkadex/vB4tkIiIiImqatJWB5dlQ1NYojquav5ZNRERbshwP/+Hf+u2eZo+DiKgePN/DcnEFlt96\nBTLAlWQiopYjpUSmYKNoeQAQAVBs8pCIiAJV0/u4RbZXbMYimYiohTiej9WsBSHRsFQpIqJGkVJi\n1crAEU5Teh/vB4tkIqIWkS86yBZdqKrSKudWiIgCU9v7uPUnORbJRERNJqTEi4wFzxNQW3BfHhHR\nQeWcAgpuoS2K4yoWyURETWQ5LlZzDhRFacmDK0REByGEwEopBV94bVUgAyySiYiaQkqJdN5Gyfa4\n95iIOpLlWljIF+BLv2V6H+8HZ2YiogZzPR9L6RIsx2eBTEQdKW1lsWpn2271eCOuJBMRNVCh5CBb\ncFq67RER0avyfA9pOwNP+m1/xoJFMhFRAwgpkcpacF3R8m2PiIheRdEtIWvnoKhKRywCsEgmIqoz\nHs4jok4mpUTazsD2nY6a41gkExHVUTpvo2i53HtMRB3J8R2krQyk0h69j/eDRTIRUR24no9UzoYQ\nkgUyEXWknFNA3i1A7bDiuIpFMhFRwAolF9mCzcN5RNSRhBRYtdJwhQtV6dxFABbJREQBEVJiNWfB\ncXg4j4g6k+XZyNgZQFGgdHCBDLBIJiIKhO34WM3ZgIKOOrhCRFSVdXIoOKW2b+22V3Uvkg3DmALw\n86Zp/qBhGBcB/A6AZ5XLv2ya5r+o9xiIiOopk3dQsBzuPSaijtRJvY/3o65FsmEYfxfAXwaQr3xp\nEsAvmKb5C/W8LxFRI3i+j1TWhs/DeUTUoYpuCRk7B7VDeh/vR71Xkj8G8OMAfq3y80kAJwzD+DGU\nV5P/O9M089u9mIioVRWsyuE8hYfziKjzlHsfZ2F5VtcuAtT1v9o0zd8A4G340jSAv22a5rcAfArg\n5+p5fyKioAkhsZIpIVNwOv7QChF1J9d3sVx8AUd09zayRh/c+03TNDOVH/8WgF/cy4tGR/vqN6J9\naqWxABzPblppPK00FoDj2cl2Y8kXHazmbfQP9DR4RMFph9/nZuF4dtZK42mlsQCdNZ6snYdj2RiK\nBzfPDQ/HA3uvRmp0kfx7hmH8DdM07wL4swBm9vKi5eVcfUe1R6OjfS0zFoDj2U0rjaeVxgJwPDvZ\naiye7yOdd+C4ou0PrbTy73MzcTw7a6XxtNJYgM4Zj5ACaSsNR7iBPiUbHo4jlSoE9n6N1KgiWVb+\n/VcB/O+GYbgAFgD8VIPuT0T0SjIFB8WSA0VV275AJiLaiu07SNvlB/3cRrau7kWyaZrPAdyo/Pg+\ngPfqfU8iooOyHR/pvAUhwWAQIupYOSeHgltkcbwFhokQEW0ghEQqa8FyPKiqCjauIKJO5AsfKSsN\nIX0WyNtgkUxEVFGwXNjLeTie6OoT3UTU2UquhYyTLbev5ErAtlgkE1HXcz0f6bwNz5M4NBJu9nCI\niOpCSomMnUWpi3sf7weLZCLqWlJKZAsuCpZbTpPiwTwi6lCe75W3V4BPyvaKRTIRdSXLcZHJuxBS\nsmsFEXW0gltEzs5BUVUo4Hy3VyySiairCCmRzlmwHL9yMI8fGETUmWp6H3P1eN9YJBNR1yhabiVO\nWuHjRiLqaOx9fHAskomo4wkpsZqzYLsCKleOiajDsfdxMFgkE1FHq1k9ZoFMRB1MSIHF/AqKbokF\ncgBYJBNRR9q895iIqJNZld7Hw7Fe9j4OCItkIuo4luMinXMBBSyQiajjpa0MLM9mG8uAsUgmoo4h\npUQ6b6NkeyyOiajjeb6HVTsNXwoWyHXAIpmIOoLj+VjN2pDg6jERdb6a3sfcXlEXLJKJqO1lCk45\nNY8fFETU4aSUWLUycITD3sd1xiKZiNqW5/tI5Wz4vmSBTEQdz/EdrK71PuacV28skomoLRUsF5m8\nzdQ8IuoKOaeAglvgfNdALJKJqK3UBIPwUSMRdTghBVJWGr7wWCA3GItkImobBctFNu9AURkMQkSd\nr9r7GIrC3sdNwCKZiFqe7wus5m24LtscEVF3SFtZlDwLKue8pmGRTEQtrVBykSlU9h7zw4KIOpzn\ne0jbGXjSZ4HcZCySiaglCSGRyllwufeYiLpE0S0ha+egqAr3H7cAFslE1HIKJRfZQnnvMVePiajT\nSSmRtjOwfYdzXgthkUxELcPzfazmbHie5AcFEXUFx3eQtjKQCnsftxoWyUTUEmr6HrNAJqIukHMK\nyLsFdutpUSySiaiphJRYTpeQKTjce0xEXUFIgVUrDVe4UBXOe62KRTIRNY3luEjnXAwfUrmSQkRd\nwfJsZOwMoChQWCC3NBbJRNRwUkqk8zZKtsfV422k8zbuPF1q9jCIKEBZJ4eCU2JrtwbLOwXcW3q0\n79exSCaihnI8H6msBSnBAnkLXyzmcGtuAY8/S0HIZo+GiILA3sfNkSwsYTo5i/mVp/Clv+/Xs0gm\noobJ5B0UbBeqojBhdQNfSDz+7AVuzSXx5VK+2cMhogAV3RIydg4qex83hJQSH6U/wfTCLJ5nvzjQ\ne7FIJqK6c7xyazchJPceb1CyPdx9uoQPHieRKTg1194Y68XNiXH8+r971qTREdFBlHsfZ2H7NleP\nG8DxHTxYnsed5CxSVrrmWqLnMKbGJ/Hbn3xvX+/JIpmI6ipbcJAvuVxF2WAlXcKt+STufbQM1xNr\nX1cVBWffHsbNiXG8frgXAPDrYJFM1G5c38WqlWbv4wbI2FncSd7DvaVHsH275pox9A6mEpN4s/91\nKIrCIpmIWoPn+0jlbPi+5CoKyqtKn36Txa25BZhfpLFxu3EsouHKyTFcPzOGgd5I08ZIRAeXdwrI\nsfdxXUkp8VX+G0wvzOJp6iPIDTNqWA3hwuEJXE1cwnB06ED3YZFMRIHLFx3kig4UVe36VRTXE3j0\nyQpuzSWRTBVrro0MRHFjIoFL744iHNKaNEIiCgJ7H9efL3w8TX2E2wuz+KawUHNtINyPq4lLuHh4\nAlE9Gsj9WCQTUWCEkEjlLLiugNLlnStyRQfTTxYx/WQRBcuruXb8SD9uTozjxOuDXG0i6gC272DV\nSkNh7+O6KHkl3Ft8hLuL95F1cjXXXu87gqnEJE4Ovxv4NycskokoEAXLRTbvQFGVro6VXnhRwK25\nJB5+vAJ/Qw83XVNw4Z0R3JgYR2K4p4kjJKIgpa3sWoFMwVoppXAnOYuHy4/hCnft66qi4vSwganx\nSRzpHa/b/VkkE9GBCCmxmrNgu6Jr9x4LKWF+kcatuQV8+k225lpvLISp02OYOj2G3lioSSMkoqAJ\nKZAqraI/EmWBHCApJT7Lfo7bC7P4OP1pzbWYHsWlw+dxJXER/eG+uo+FRTIRvbKi5SJTcKAoSldu\nG7BdH/fMZbw/n8SLrFVzbfxQD25OjOPc8UPQNT5+Jeoklmsh7WQr2yu6b+6rB094mFt5gumFWSyV\nVmquHYoOY2p8EudHziCkNW6xgUUyEe2bkBLpnAXL8bsyNS+dt/HBfBJ3P1yC5aynOCkATr45hJsT\nCbw13s8PT6IOlLaysDyrq7eVBSnv5HF38QFmFx+i6NUebn574BimEpN4Z/CtpsynLJKJaF9qVo+7\nrED+YjGH788t4MmmyOiwrmLSOIwbZxM4NBDMqWoiai0bo6VZIB9csrCI2wuzmH/xFEKu94vXFA3n\nRs9gKjGJwz0jTRwhi2Qi2iPP95HOO3A80VVbK3whMP9pCu/PvxwZPdgbxvWzCVw2DiMW4XRK1KlK\nroW0nWUo0gEJKfBs9RPcXpjF57kva671huK4PHYRk2PnEQ+1xuFmzupEtKtMwUGxVO573C0F8k6R\n0W+O9eHGRAKnjw1D44oSUceSUiJjZ1HyrK57chYk23fwYGkOd5L3sGpvHRl95tBJ6GprlaWtNRoi\naim24yOdtyAkuqbvcfJFAd+79dmeIqOJqHN5vodVOw1fChbIryhtZfAnT7+PD76Yhe3XLjYYQ+/g\n2vhlvNF3tGVX51kkE9FLpJRI522UbA+qqqJF56/ASCnxyddZ3JovR0ZvFItouHpqDNdOMzKaqFsU\n3RKydq7c973TJ8CAVSOjby/M4MPUs5cioy8ePoeriUsYig42cZR7wyKZiGp4vo8XWRtCyI5fPXE9\ngYcfr+D9+a0jo29OjOPiuyOMjCbqElJKpO1y94pOn/+Cth4ZPYNvCsmaa4ORAVxNXMKF0QlE9fZZ\nbGCRTERripaLdN6urB537urJTpHRJ48NY+rkKN5lZDRRV+H2ildTdEu4t/QIdxfvIefUHm5+ve8I\nfuidmzgSfj3wyOhGYJFMRC9tr+hU36wU8P78Ah5+/GLbyOjT74wilSo0cZRE1GjcXrF/K6UXmF6Y\nxcOVx/DE+mKDqqg4c8jAVOIyXutNYHg43rZzKotkoi7nej5S2fLhvE4skIWQML9YxffnkvhsoTYy\nui8WwtSZMVw9xchoom5U3V5h+zZ7H++BlBKfZp5jOjmLj9Of1VxrdGR0I7BIJupiuaKDfLHc2q3T\nFk9s18esuYz35xeQyto11xgZTUSe7yFlpSEVydXjXbjCxdzKU0wvzGJ5U2T0SCUy+lyDI6MbgUUy\nUReyHR+Lq0UIITuutdtqzsbtxztFRo/jrfE+figSdbGCW0TOznXc/Be0nJPHzOIDzC4+QNEr1Vx7\ne+AYro1fxvGBYx07n7JIJuoiUkpkCg4sAUiJjpnYpJT4cim/dWR0aENkdD8jo4m6WXl7RQa277BA\n3sFCYRHTCzOYf/FhTWS0rug4N3oaU4lJjDY5MroRWCQTdQnLcZHOuZCQ6OntjGKxGhl9a24BXy3X\nHgypRkZfOXkY0TCnOqJu5/ouVq00pNI5CwRBElLgo9VPcHthBl/kvqq51huK40riIiYPn0dPi0RG\nNwI/OYg6nJQSqzkbllMJBkH7fzgULQ93P1zEB48Xkd0iMvrmRAKnGBlNRBUFt4ick2dxvAXbs/Fg\neR53krNYtTM118bjY5hKlCOjNbX7+sWzSCbqYI7nYzVrQ6IzOlcspUt4f24B9z9agevXRkZPHB/G\nzbPjOMrIaCKqkFJi1crAETaUNuzTW0+rVhp3kvfwYHnupcjok0PvYmr8Mt7oO9LV31iwSCbqULmi\ng1zRhdrmq6lSSnz8dQa35pL46MvNkdE6rp46zMhoInqJ4ztI21lISBbIFVJKfJn7GreTMzBTH9dG\nRmthXBydaJvI6EZgkUzUYYSUeJGx4PmirQvkamT0rbkFLK7Wnqpei4w+MYKw3n2PAIloZwW3iKyT\nZ2pmhS98PEmZmF6Y3TYy+uLoBCJtFBndCCySiTqI5bhYzTlQlPZNjcoVHdyuREYXN0VGv3t0ADfO\nJhgZTURbKm+vSMMRTlvGIAet6JYwu/QQM8n7yLm1kdFv9B3FtfFJnBh6h79X22CRTNQBOiFW+puV\nAm7NLeDRJy9HRl98dxQ3ziYwNtw9p6qJaH8c31k7eNbt2yuWSy9wZ9vI6JOYSkzitd5EE0fYHlgk\nE7W5ams3KO13OE8IiQ+/WMX09z7Es037jft6Qpg6zchoItpd3ikg5xa6+gmTlBKfZJ7j3icP8OHy\nxzXXYnoMk5XI6L4wDzfvFYtkojYlpER6Q2u3dmI7PmY/WsL788mXIqNfq0RGTzAymoh2IaRA2krD\nEW7XbhlwhYtHy08wnZzFSulFzbWR2CFcS0xiYuR0x0VGNwKLZKI6W06X4KsqgjxeVrRcZArlvcft\nVCCv5ix88HgRM1tERp86Vo6MPpZgZDQR7a7bt1fknDzuLt7H7OJDlDZFRh8feAtT45MdHRndCCyS\nierodz94jhlzGSFdxfnjh/Dd68cO9H6e7yOdd+B4om0eK0op8cViHrfmFvD4eQpyU2T0ZeMwfuTm\nW9A2XiAi2kE3b6/4Jp/EdHIWjzdHRqs6zo+cwZ8zbiLsxps4ws7BIpmoTpbTJcyYy2s/nzGXcfXU\nGEYHY6/0fvmig1zJgaKobfHBsFNk9FBfBNfPJHD55CiiYR3DQz1IpQrbvBMRUZmQAsuFF8i7+a7a\nXlGOjP4YtxdmX4qM7gv14vJaZHQMw31xzqcBYZFM1OIcz0c6Z8MX7dEQvxoZffvxIjKbI6MTfbg5\nMY7Tbw61dQ9nImq86vaK4Vi8LebCINiejfvLc7iTvIf0psjo1+IJTI1P4vSw0ZWR0Y3AIpmoTkYH\nY7hsjK6tJl82Rve1iiylRKbgoGh7UNug7/FSuoQP5pO499EyXG+LyOiJcRwd5alqItq/nFNAwS20\n/DwYlGpk9P3lOTgbIqMVKDg5/C6mEpN4vcsjoxuBRTJRHX33+jFcPTWG4eE4NCF2f0FFta2bhGzp\nrRV7iow+k8BAPNykERJROxNSYNVKwxVux68eSynxRe5rTC/MwFytjYyOaGFcYGR0w7FIJqqz0cEY\nRg/Fsbyc2/XXCiGxmrdgOz5UVYWC1iyQXU/gQSUyemlTZPToYBQ3zjIymogOxvadtS0GnVwg+8LH\n4xcfYjo5i4XCYs21ocgAriYmcWH0LCOjm4BFMlGLyBcd5IouFLV127pliw6mHy9i+ikjo4mofsrb\nK/IdXRwX3SJmlx7ibvI+8m7tQbs3+17H1PgkTgwd76oDiq2GRTJRk9mOh3TehpCA0qKH2RgZTUSN\nIKRAykrDF17HFsjLxRVMJ2fxaPkJPFkbGX320ElMjV/GeHysiSOkKhbJRE3i+T4yBWd9a0WL1cfV\nyOhbcwv4bKF2q0hfTwjXTidw9fRhxKNMcSKig7N9B2krDSgKWm5CPKBqZPTthRl8mnlec61Hj2Fy\n7AIuj11gZHSLYZFM1GBSSmQLLoqWA0VVW25rxY6R0SNx3JxIYOJtRkYTUXByTg4Ft9hxq8eu7+LR\nytaR0aOxEUyNT2Ji5BRCKhcbWhGLZKIGKlgucoVy1wqlxYrj1ZyND+aTuPvhEmyXkdGtQDKFkDpc\np26vyDl53E3ex+zSy5HR7wy+janEJN4eeJPzaR1JKSGlgKZq0BSt2kt69xP0G9S9SDYMYwrAz5um\n+YOGYbwD4FcACADzAP66aZr8FKCOZzs+ltJF+J6Eoiot07Vip8joSEjDZWMU188mMNwfbd4gu4SU\nEkJIqKqCkK5C11SEdBUAMru9lqgdWZ6NjJ3pqO0V5cjoGTx+YW4ZGT01PomR2KEmjrAzSSkgpYSu\nhhBSNWiqjpAaQlgL1Rx8/Bd/6ZedHd7mJXUtkg3D+LsA/jKAfOVLvwDgZ03T/BPDMH4ZwI8B+K16\njoGomYSQSOctWAIQojUO5qWyFhwh8fTTF3uKjKbgVQtiTVOha+tFcSysv5RE+Dv/6Mf23mCbqE2U\nt1eUOmIlVUiBpy9M3E7O4svc1zXX+sK9uDJ2CZcOn0NPaO9hUrQ1KSWElNAUBbqqQ1M16IqOiBaG\nruqB/3na9RPQMIwrpmnefcX3/xjAjwP4tcrPL5mm+SeVH38PwH8AFsnUgaSUyBZdFEoOVFVFbwsU\nxwDw+3c/x6y5gqLl1XSpABgZXS9bFcQhXUU09HJBTNTphBRIldLwpdf2BbLl2XiwPIeZh/eRKtWG\nKTEyOhhC+FAVFbqqQ1dDCKs6InqkYW3x9rJM9A8MwxgF8KsAfs00zeRe39w0zd8wDOPYhi9t/BuR\nBzCw1/ciahdFy0W2su+4VQ7lLaVL+MPZr/DokxfYWBqrCjBx/BAjowOysSAurw4rLIiJKjple8Wu\nkdHjk3i9l5HR+1VdJdZVFSE1BF0NIaqFEdKad6hx1yK5spf4TQA/CeD3DcP4AuV9xb9tmqa7z/tt\nfGzYByC93S/caHS0b5+3qZ9WGgvA8eymkeNxPR+prA01IjEcfTmGeXg43rCxAOUJ5+nzFP7g7pd4\n/GntqWpVAXp7Qvjpv3gOx4+2RsRpo39/drLXsUghISUQ0lWEwyoiIQ3RSAhaCxfErfR3tJXGAnA8\nuznIeDJWDo7jYrg3mG/GmzGffrr6Of7os9uYX/ywZrEhqkdw/fVLeO/NqzjUM9TQcW2nleZTYOvx\nVPdshxQdYS2EsBZGLBRtmcUlYI97kk3T/NwwjP8HgAfgrwD4GQD/s2EYf880zd/Yx/3uG4bxLdM0\n/xjAjwD4g728aC9xvo0wOtrXMmMBOJ7dNHI8mYKDQsnddrVweDiOVKqw5bWg7RQZHY/q0HUVfT0h\nnH5zCEM9oYaNayeN/P3ZzU5jkUJCQiIU0hDWVUTDGiK6BkUK+LZA0fZQzNtbvvZVBV0otcrf0W6e\nL/aiU8azsXtFUKvHjZwvdo6MHsTU+CS+feIqilkPsICU1fx5rJXmU2B9PJu3TkS0MCJaGIqiwAPg\nwUcR9R33fufTvexJ/m9QPnz3GspbLm6apvmVYRivAXgAYC9FcvWbrr8F4P8yDCMM4AmAf7Wv0RK1\nGMf1sZpl6khkAAAgAElEQVSzICSa/jh9p8joE68P4MbZcbx7dACrORsDAzFobC+2K1nZt62HVIQ0\nFbGIhkiIhxmJ9qKdw0F2jIzufx3XEpN4txIZHdUjKMLb5p2608atExEthB69p+lbJ17FXmb7PwPg\n5wD88cZ2baZpfmMYxl/b7cWmaT4HcKPy42cAvv1KIyVqIUJKpHM2LMdrelrerpHREwmMDa1HRg/3\nRzE81NNSKw2tQghR2VOsIKJriIRVFsVEryDnFFBw823X+3ipuII720ZGn8LU+CQjo7cgpAAkENLW\nD9hF9ShURcWhnj6IQus8FdmPvexJ/skdrnElmLpOoeQiW3SgKErT9k5VI6O/P7eA51tERl8/k8DV\nU4fRw8joLZW/mZBQFWW964RW3j7x2lgfltvrc52oZQgpkLbScNsoHERKiY/Tn2E6OYNPM5/XXKtG\nRl8Zu4BeRkavBXQACrTKATtN1RFRy3uKO+2wIpdIiPbI8XykczZ8IZs2EdiOjxlzCR/MJ5HK1e59\nPTISx82JcZx9e5iR0RVCyHKD+UofYl1TyiendRW6rkLtsAmdqJkc38GqXcm+aYO/W67v4uHKY9xZ\nmMWKlaq5djg2gqtdHhkthICqqggpOtRKap2uqAhrYaiK2nEF8VZYJBPtQkqJTMFGwfKhqUpTJoZU\n1sIHj5OY+XCZkdHbqEms01SEdA2RkIpIWOvq3xeiRig4BWTdQlt845l1cribvI97Sw9R8qyaa+8M\nvo1r45N4q787I6N9IRDSyuEcPVoMutbdZWJ3/9cT7cJ2fKzmbEBBw9t6SSnx+WIOtx4l8eRzRkZv\nJqQEpERY1xAOadB1hf2IiRpMSolVKw1HOA0LeHhVX+cXML0wiyep2sjokBrC+dEzuJqYxEhsuIkj\nbKzy4ToBTVGhayFE1DB6QrGW///YSCySibYgpUQ6b6Nkew3fd+z5AvOfpnBrfgFfbxEZfeNsApNG\nd0ZGCyGhKEA0pCEc1tATCT6GlIj2xvVdrFppSAW77j9etcrbMIaijc0QE1LATD3bMjK6P9yHK2MX\ncWnsHGJ6Z0dGSykgJaCrGjRVg6boCKs6wlqYiYA76L5PWaJdNCsxr2i5uPN0CbcfJ5Et1ub0HEv0\n4UaXRkb7vkBIUxEOa4hFdERCnNCJmq3gFpGzc1D2MEd+/6vbeLpqAgBODRl47+i1eg8Plmfj/vIj\n3Fm4h4yTrbn2Wnwc18YncWr4REcWiEL4kFJU+hHr0BUdIS2EsBriosI+sUgmqnA8H+m8Dd+TUFQF\nChozmSytlvD+/ALuf7QC119/BKipCibePoSbEwkc6aLIaCklpJAIhzREwhp6ojq0FkpgIuo2K6UU\nZN6Ggkj5KZudhe3beyqQV63MWoEMAE9XTZwZOfXKK8qrVgay4EDBy6mmAJCyVnEneQ8PlubgiPXF\nBgUKTg2fKEdG9x15pXu3quoBu0glyjnRN4qIU2z2sDoCi2Tqep7vI1twYDl+uedxA1ZqpZT4+OsM\nbs0t4KMvMzXXeiI6pk6PYer0GPrjW38QdBIhJIS/fuAuHFK5jYKoRfze83+PB8tz0HUNpwYMXElc\nhC9FU/5+VlekNU3Dif531lakpZT4PPslppOzMFc/rnlNRIvg0uFzuJK4iMFIY7d6BE0IHxLlDj2a\nokFTdYRUHVEtUrMirnfg6nizsEimrlXuWuGgZLlQVLUhWytcT+DBs2Xcmk++FBl9eCiGm2cTuPDu\nKEJ6Z66cCllpyaaV27CFNBWRkIYjiT4sc14naikrpRQeLM8BKHc9mF16iLcH39rXKvBQdACnhoya\n7Ravsoq81Yr0yeET+LrwDaYXZpEsLtX8+uHoIK4mJnF+9CwiWnstNlTT6sp9iPVy6zW13HFCU9it\np5FYJFNXyhdd5ErlQJC9PDI8qHTOxu/f/RJ3niyiaL8cGX1zYhzvHBnouMnPFwKqopQLYl1FWFcR\nCett0SaKiMo84UGF8sqtj987eg1nRk4BCObgni985JwCfuXJP0PRq11sONb/BqbGJ3Fi8HjLz6fl\nw3QSqqJCVTRoavnfW60OU3OwSKauYjs+0gW70iWh/hPo1ysF3Hq0gLlP9xYZ3c5kzSqxhpCmIhbV\nuJ+YqE0NRwfx7uBxPH7xIVRFfeVVYODgxfFQdACv9x7F3IsnL/U21hQNZ0dOYSoxiUT88IHuUw/V\nlDpNLa8IV1eGQ2oIuqqx5VoLY5FMLWU5XV4VGB0Mth2PEBKreQuO40NR65sUJITE089XcWtuAc+T\nW0dGXzl1GPEOiIyWlcI/HNIQCWnoiXGVmKgTWK6FjJPDzSNTOH3oJAYHYlDsxm9bqEZG307O4LOX\nIqN7cHnsAi6PnW+pyOhqu7WQVu4uEVHDiOgRFsNtiEUytYzf/eA5ZsxlAMBlYxTfvX7swO8ppUS2\n6KJoOVAUta5bKyzHw6y5jPfnk+UAkg3eSPTh2qmxto+MFlICQkIPaQjrKmJhDZEu7NdM1A5WSuWo\n5f0EZKx1r/DstUPMQ9EBDMfjSNmFXV4dHMd38Gj5MaaT9/BiU2T0eN9hXB69hImRU9DV5s8/Ukr4\nQiCihRHWQohoEYS19l8EIRbJ1CKW06W1AhkAZsxlXD01dqAV5XzJxWKqBAm5a6P7g0hlLXwwn8SM\nuSkyWgFOvzmMm+cSuHgqgdXV9mvJI4SAAgV6qLKfWNcY80zUBqpdKQDgwugEfvjYd3Z9TXn1OAso\nSkO6/GwlY2dxd/E+7i0+guXXbqt4d/A4psYnMXns1IHn04OEm1QP1oXU8v7h/kgv9DiT6joRi2Tq\nOLbjI1O0MSAAKKhLv2MpJZ4nc7g1t4Cnn6++HBl9chTXz6xHRrdDUSmlhBASmrZ+yC4a1hDSeXiE\nqJ1s7EoBAA+W5zA5dmHbFWUhBdJWBrbvNDxhtOrr/AJuL8zgyQsTEusTajUyeioxiUOV8R90Pt1v\nuMn6nuIQwpqOiBpBRA+vFcV9kV5YSm7H96D2xCKZWsLoYAyXjdGa7Rb7XUV2PR+ZggPHrV+/47XI\n6LkFfL3S3pHRQpSDS3S9vHUipKuIhfWuS/Qj6mZ5t4i8k4eiKA0vkIUU+DD1DLcXZvBV/puaa/WK\njN5LuEn1EHJICyGk6girIe4p7lKt/0lOXeO714/h6qkxAPs7uCekRCZvo2T7UNX6TPQFy8Xd7SKj\nx/vw3sQ4Tr7R2pHRvi+gVcI6entCUAZjXCUm6kAjsWFcGJ2o2W6xeRXZ8R1k7Rx86Tf8SZflWbi3\n9Ah3k/dfiow+0juOa4nLODn8bkNboPnCh67q5T3FagRRPdIWTwCpvlgkU0vZ7+pxvuggV3IrqyDB\nT2hLqyXcmlvA/WfL8Pz1R4CaquDc8UO4MTGOIyPxwO8bBF8IaIqKcFhFWNNq2rENxCNwik6TR0hE\n9fLDx76DybELAGoP7gkpkLGzsDy7vKDQwEKwGhl9f2kO7qbI6NOHDEwlJnG077W6jmFjuImUwJlD\nBo70JtCjx9iXmF7CIpnaUtFykSu6EDL4fsdSSjz7qhwZ/eyrTZHRUR1Tp8YwdWYM/T2tleIkpYQU\nEqGQhnBIQ0+E+4mJutnm1eOcU0DBLTR0a0U1Mvp2chYfbYqMjmoRXDx8DlcTlzAQ6W/IWKQU+DNH\nb2By7DxioR6M9YzU/b7UvlgkU1uxHQ/ZggvPF1BUJdAC2fUE7j9bxq255Fq/5qrDQzHcnBjHhXdG\nWioyurpaHAmpCIc19ER0PiIkohol10LWzUHWYVFhO57wML/yIaaTM1gsLtdcG44OYSpxCedHzyJc\n58hoIQRUVUVEC2/qV3yorvelzsAimdpCyXaRL3pwKzHHQR7KyxYc3H6yuGVkdCSk4exbQ/jxb7VG\nxOnG1eJIWEOM3SeIaBtCCqxaabjCLfeJb8AcVnALmFl8gJnFByi4tW3ajvW/gWvjl/Hu4Nt1DnQq\np9tFtDB6IjGE2LOYXhGLZGpZQkoUSy6Ktg/PF+VDeQFOrF8v53FrLolHn7woh2RU6JqCcEhDPBpC\nSFexkCphNWevtXNrNK4WE9F+FdwisnYeqqrUtU981WJxGdMLM5hbeQpfrveL1xQNEyOncLXOkdFS\nlnt+RvUwYpEeROq8Qk3dgUUytRzb9VEoubAcD4qiBHooTwiJJ5+v4v0tIqP7e0K4diaBd48O4Df/\n9LNA7vcqhJSAlAjp3FtM1I1WSinIvA0FkX2/Nu8WUXRLENKr+75jKSWepT/F9MIMPst+UXMtHurB\n5OELuDx2Ab3h+hxuFkJA13SE1TCieoSFMQWORTK1jILloljy4PrlPsdBTvCW42Hmw2V88PjlyOgj\no3HcnBjH2bfWI6PPvjWE+c9W135c71VkXwjoqopwSEM0rCIa5moxUTeqJuXpuoazQ6f3lJQnpEDe\nLaDols9SlBcX6lcgO76Dh8uPcSc5ixfWas21sZ5RTCUu4+zIybpERgshoEJBTI8irvc0vSPFQb6h\nodbHIpmaSkiJXNFFyfIq8dHBnLpOZS34ioLMTpHRx4ZxcyKBN8f6XipIv33xKM4dL596rleB7AuB\nkKYhHFIRj0a4WkzU5fablGd7NopeEZZXTsqr9zfWGTuLu8n7uLf0EJZfu9hwYug4phKTONb/Rl3G\nIYRAVA+jJxJHou8Qlq3mJ9y9yjc01F5YJFNTuJ6PfNFDyXahamqg8dF/eO9L3Hv2AkXLRcn2a65F\nQhqunDyMa2fGdi1+gy6OhZRQJBAOaYiENPREmW5HRPtj+w5KXgm270BKAUUJ9qnbVr7KfYPf+fwB\nHiw8eSky+sLoWVxNTOJQbCjw+5YP4OmI6WHEQ/GWSrzb7zc01J5YJFNDlWwXhZIHx6tsqdCCm/Q8\nX+D24yT+6P4CXF/UXBvui+D62QQuG4cRCTduxVZICQXl4nyoN8xtFES0ra2S8gbD/cg5ebjCheu7\nlSdu5XmznlsqhBR4mvoI0wuzW0ZGX01cwsXD5xDTg11MkFICkIjqEfREeureIo5oJyySqe6klCiU\nXBQsD0JIKAFHRxcsF3eeLOH2kyRymyKjw7qKH732Ji6fPNywVdtyw3qJSEhHNFLuRjEyGMOy6+3+\nYiLqaj987Ds4N3IWPX0a7AKwXEqtz12KEtgTt+2UPAv3lx7hTvIesk7tloajva9hanwSp4ZPBL6q\nW101joeiiId6Wn4xYS/R39T+WCRT3biej3zJg+WUi0Ml4P7Gi6tFvD+XfCkyWlGAaFjHQDyEc8cP\n4erpscDuuZ2NWymqhXGrT/JE1FxCCtieDVf6EMKDK3x4wgMg0RPphVUoNOyb+xelVdxJzuLB8vyW\nkdF/7sRN9Mtgi8CNq8bt2LatGv19aDgOpcSDe52IRTIFqrxq7KFkr3epCLJY3DUy+vQYrp0eg+sJ\nDAzEoG3ofxy0aqu2jSvGLIyJaCvVgtgWLnzhwRMefCnL4Ugb5o1GxUUD5fn0efYL3F6YxbP0JzXX\noloEl8bO48rYRQxE+jE8FEcqVQjovgKq0j6rxjsZiQ1jtLcPy6XmHySk4LFIpkC4no9UpoRkqpyw\nFFSXiirH83H/oxW8P791ZPR7E+M4vykyenioJ7BJvUoKCSjlPcYRBnsQ0TZ84aPk2/B8F65w4Qmv\nNvVOUaA1ae7YKTL6UHQIU4lJnBs9E/h+YCEFIloYcb0HEZ0rr9T6WCTTK/OFQL7owXbKcdGjevAF\nY7bg4PbjJO48XXopMtp4fRA3JhJ458hAXQtVKSUgUY6BjmiIRZoTcVr95mB0MNaU+xPR9lzfheXb\n8IRXKYoFtA0LBWqT+/kCQN4pYHZp68jotwbexFRiMvDIaFk5vBzVI+gN9Ta9rzHRfrBIpn0RlUN4\nlu2vbacAUPNhEISvlvN4f4vI6JCm4uKJEdyYGMfhOhaL1T3GkXBrrBj/7gfPMWOWV3wuG6P47vVj\nTRsLUTeTUsLxHTjCgy88uJWtE4CsKYSDnhMPIllYwp3k7DaR0acxNT6JsZ7RQO8phEBIC6EnFEVM\nj/GJG7UlFsm0KykliraHkrXeug0Ifu+cEBJPnqdway6Jzxc3RUbHw7h+ZgxXTo6hJ1qfP7ayUoxH\nQuUV41Zp17acLq0VyAAwYy7j6qkxrigT1Zkv/PWCWJaLYU8IKApqujs0ch/xXkkp8VH6E0wvzOL5\nFpHRl8cu4vLYecRDwUVGbzyIF4/EEdKa89SNKCgskmlbtuOhaHmwHL8c9hHwPuOqnSKjj1Yjo98e\nrtvKjBACkZCOnmjztlIQUXO5nou8WywfqNvhYF0rrRBvxfEdPFiex53kLFJWuubaWM8oro1fxplD\nwUZGd9JBPKKNWCRTDSHKMdGW48EXEqoabNu2jVJZC+/PJzG7RWT0mWPDuDkxjjfGeusy4fpCIKSq\niER09PWEoLbwpD46GMNlY7RmuwVXkYleTe12CXet7ZodjqPgbjgU3MSDda8iY2dxJ3kP95cebREZ\n/U4lMvr1QOdTIQXCWhi9PIhHHYpFcptaTpfgqyqCOAKxcTuF7QlolaK4Hv05pZR4nszh1twCnj5f\nxcYGbZGQhiunDuP6mTEM9QWb4gSUvwFQFQWRsIbeWAQhvX0OkHz3+jFcPVXu98wCmWjvPN+rHKhz\n4VZ6EW+1XSKIp2SrVrkt5VB04MDvtVdf5r7G9MIsnqY+akhkNA/iUTdhkdyGqoe4QrqK88cPvfIh\nrrXtFK4PCUBVlLUCOWieLzD3yQvcmk/im5XatmzD/RHcODuOyROjgUdGV2Oho5XtFJFw+/6RZ3FM\ntDMhBRzfhe07lUN1LoSUNQVwvbZLfP+r23i6agIATg0ZeO/otbrcByjvlf4w9Qy3kzP4Or9Qc20g\n3F+JjJ5ANMDIaCF8aIrGg3jUVdq3YuhSBz3EVU3Bsx2/8uFR3m9Xr+muYLmYfrKI6ceLyJVqI6Pf\nGu/DzYlxnHxjKPBVa+ELhHUVg/EweqLcZ0zUada3Tbhrbdd8Icrz2YZexI3YSrVqZdYKZAB4umri\nzMipwFeUS56Fe0sPcTd5f8vI6Gvjl3Fy+N1AI6OFkIjqYRyOjyDi2Lu/gKiDsEjucK7nw3J8OJ6A\n6wn41d6dCur64bGYKuL9+ZcjozVVwbnjh3BzYhyvjQR3qhooH8DTVRWxqI54LITRoR4se/7uLySi\nludWVoi9DW3XFAVQWrzLRBBWSincSc7i4fLjLSOjpxKTONr3WmD3Kx/E0xDTY4iHYlAVFWE9DIBF\nMnUXFsltZrdDXLbrwbIFXN+H6wnIBj1qBCoth75Mbx8ZfWoMU2fG0N8TXIpTzXaKWASREPfHEbU7\nX/iwfHutGPaEW5nL1v9+t1JBPBQdwKkho2a7xUFXkaWU+DTzOaYXZvAs/WnNtagWxaWxc7g6dgn9\nkb4D3WcjIcoH8XpCMcRCwZ8LIWo3LJLbUPUQ1/BwHMJxkck7cHwfrusDUNa2LiibWhfVi+P5uPVo\nAQ8+frHnyOiDkFJCSolISEc0oiHO7RREbUlKCVd4a1sm1luviZoDYeU45yYOdA/eO3oNZ0ZOATjY\nwT1PeJhbeYqZx/ewkFuquVavyGghBGKhCHojvdA1lgVEVfzb0GaklLAcD7qqwhcCy+nS2upwo1dW\nMpXI6PfnknB9UXPtxOuDeG9iHMeP9AdWqFf7GUcjzU/AI6K9E1LA9cvdJTzpQwgfXraEpUIW6qYt\nE+XWa+35ROggxXHeyWNm8QFmFh+i6L0cGX0tcRnvDL4V2Ly33qUiir5Yb6D7mIk6BYvkNiCkRLHk\nwXZ92K63dhglDqUpje2/Wsrj1vwC5j5J1URGKwBiUR1/6Tvv4N2jg4HcS1Z6NUcjOvpiobq0pSOi\n4PjCR8m311aGfenDF35l3lqfr6QiWz6YoxGShSVML8xg/sWHNZHRuqphYuQMphKXcDjAyOjqfuN4\nqIfBH0S7YJHcooSUKJRcWLYP169fFPRe+ULi6TaR0aqqIB7V0R8PQ0rgUP/B97IJIRDSNfTGQ0zB\nI2pRG/cOV1uuSfnyPKWyl26NnSKje0NxXB67iB8yrsMpbPMGr0AIgZAWQjzUx/3GRHvEIrmFSClR\ntDyUbA+O1/zCGFiPjH5/fgHpvFNzrRoZ/SJTwpPP09BUBSffGMTwAYpkIQRiYR3xngjCbRT2QdTp\nhBSwPXtt/3C77h1upp0ioxM9hzE1PrkWGd0biSNVOHiVLIRAVA8jHokHuo+ZqBuwSG4BBau8Ymy7\n3tphu2af3K5GRs+YS3Dc9f3G20VGX3h3FAMDMWhSbveW29rcuq2VI6KJusF6QVw5TCc9eEJA3dSD\nuF33Djda2s7gbvI+7i09gr0pMtoYegdT45fxZt/RAPcbCyiKih49ingozv3GRK+IRXITiMrhO9v2\na9Luml0Y7xQZHQ1ruHLyMK6dSWCoL/LSa4f7oxge6kEqtbeVDyklIIFomK3biJqpumWivIfY37og\nRn3bR3YiKSW+yn+zZWR0WA3hwuEJXE1cwnA0uMhoIQTCehg9Glu4EQWBRXIDVAM9XF/AccuBHtUP\noHqm3e3VWmT03AK+eVF7qvpQfxQ3ziZwKaDI6PK+OA2xaAjxGDtUEDWS5dnIOYUNq8PelnuIWRC/\nOl/4eJr6CLcXZvFNYbvI6HOI6i8vNrwKWXl6F2OXCqLAsUiuAyElSpZXSbrzGxrosR/5kos7T7eL\njO7HexMJGAFFRnOvMVHzrRRTKHrrvcy5hzg4Ja+E2cVHuLt4DzknX3OtHpHRQgjomo54KIaeUE8g\n70lEtVgkB8T1fBQtH45b7kahbFwpbrFPocVUEbfmk3iwRWT0+XcO4cbZYCKj11Y4Ijr6e2Js30bU\nZFxlDN52kdGqouL0sIGp8Ukc6R0P7H5CSkS0EOKROCI8iEdUVyySX0F1T7HribV/Nq4WN3tv8VaE\nlHj2ZRq35pL4+OvayOh4VMfU6TFMnR5DXwCR0UJI6KqCnliYWyqIqOOsRUYnZ/HxpsjomB7FpcPn\ncWXsYnCR0VICioKoFkFfmFsqiBqFRfIupJRwPB+2KyBXi1hMFeH7Aqq6vkLciqvFVY7r4/6zFbw/\nv4DltFVzbWwohpsBRkb7QkBXFfT2hhANs7cxEXUWV7iYW3mKOwuzWCqt1FwbiQ5janwS50bOIKQF\nM/+t9zaOIRaKBfKeRLR3LJI3EUKiVFkldjwBz/MBKOXUt55yKzRNa/3v4quR0XeeLqJk+zXXjDcG\ncfNscJHRQghEwzrGhuLIcksFEXWYvJPH3cUHmN0iMvrtgWOYSkwGGhktpEBYC2E4NsQtFURN1PVF\ncrXzhFPZNrF5lbgVt07s5KulPL4/t4D5T2sjo0O6iksnRnHjbAKjgwdfkZBSQoGCWERHX085LjqI\n7hdERI22amUgCw4U1BakC4VFTC/MYv7FUwi53i9eV3ScGz2Nq4lJHO4ZCWQM5TMcEjE9it5QL0Z6\nBrFcyO36OiKqn64qkmVlL7FTXSV2BSQ2dZ5og1XizXwh8eR5CrfmFvDFYu2p6v54GNfPjOHKyTH0\nRA/+v7vawq2nJ4R4lFsqiKi9ff+r23i6akLTNJzofwc3jlzFs9VPcHthFp/nvqz5tb2hOK4kLuLS\n4fOIB9RRQkoJRVEQD8XRG+pp2a17RN2o44vkatcJ2/Xhej4UVVlLdFNUBc3vUvzqSpaHP330DT6Y\nT24bGX327eFAWs4JIRAJ6ejtY/AHEXWGVSuDp6smgPIWh5ml+5hdeoiMk635dePxMUwlypHRG2O4\nD0RKKIqK3nA8sIKbiILVcUWy45ZT7KpdJ3wh1orEdlwl3sqLSmT0vY+WYTvr+40VBTjz1jDemxjH\nG2PBnKr2hURPWENvTwQh9jcmog7jCR9Ft4iiZ9Wk4gHAyaF3MTV+GW/0HQk0MlpVdPSG2d+YqNW1\ndZHs+QKWXU6yc/3aQ3ZVrRLccVBSSny2UI6M/vDz/UVGvwohJGJhDX3xEHSNxTERdQ4pJb7Mf43p\nhVksl17UXAtrYVwcLUdGD0UHA7vneqeKPkZGE7WJtiqS1w7ZuQKO50NIWVMEt9shu73wfIFHlcjo\nhU2R0aNDMVw7NYZLxmhgWyCElIiGNPSzOCaiDuMLH09SJqYXZvFNIVlzbTDaj6tjk7g4OoFIQJHR\nQKX7jx5GPBJHmJ0qiNpKyxfJ6byFF1nrpa0TiqJA6+ADDjtFRr/9Wj9uTozj+oUjSK8Wt3mH/RFC\nIBzSMBDntgoi6ixFt4R7Sw9xN3kfObf2cPPrfUdwbfwyrh8/j/RqaZt32D8hRTn8I9ILXWv5j1oi\n2kLL/80tlMo9i4HO2DqRypYDPYb7t37clkwVcWtuAQ8/XtkiMnoEN84m1iKj1SB6HEsJTQEO9UcR\nCbf8Hwcioj1bKb3A9MIsHq48hie8ta+rioozhwxMJS7jtd7E2teCUF45jqAvxOKYqN3xb3AD/dH9\nrzD/2SoA4OxbQ/j2xaMAGhsZvZEUEn09ocDfl4ioWcqR0c8rkdGf1VyL6VFMHr6AK4mL6Av3BnpP\nBUBUj6Ivxthook7BIrlBUllrrUAGgPnPVnHyzSE8T+bw/lwSK5nayOjEcA9unE0EFhm9kS8keiIa\nBnojgaxGExE1mytczC0/wXTyHpY3R0bHDmEqMYlzI6cDi4wG1ovjeCiG3lAvexwTdRgWyU3g+wIF\ny8M//jdPYDlbREZPjOP4a8FERm9U3Xd8qJ/7jomoM+ScPGYWH2B28QGKXu2e4uMDxzA1fhnHB44F\nOp8yAISoO7BIbpDh/iheH43j0ScvUNpUGFcjo2+eTWAkgMjozaSUUFUFw/0RRMNMySOi9leOjJ7B\n/IsPt4yMnkpMYjSgyOgqKQU0VUc8xB7HRN2ARXKd7RQZPRAP4/qZBK6cOoxYJPj/FeVHgQr642FG\nSBNR2xNS4KPVTzC9bWT0JUwePhd4AVstjnvZ45ioq7BIrpOS7WHmwyV88PjlyOjXD/fi5kQCZ94K\nJm/z7XIAACAASURBVDJ6MynLXTH6YiH08lAeEbU527Nxf3kOd5L3kLZrDzfXJTK6qhId3R8eYHFM\n1IVYJAfsRaYcGT1rLsHx1h8BqpXI6JsBRkZvRQiBeCyM/p4Q98kRUVtbtdK4k7yH+8tzcPzaxYZ6\nREZXVfcc94V7ua2CqIuxSA5AOTI6i1tzyW0jo6+fTWCwN7gUp82EEIiGNQz2xmtiuYmI2omUEl/m\nvsbt5AzM1MeQG2bUekVGb7y3oijoDcXRG44H/v5E1F6aUiQbhnEPQPWZ2aemaf5XzRjHQe0UGX1o\nIIobZxKBRkZvRQgJXVcw3B9DmB0riKhN7RgZHRnAVGISF0bPBhoZXSWlhJSS3SqIqEbDi2TDMKIA\nYJrmDzb63kHJl1xMP1nE9JNF5LeIjH5vYhwn3hisaw/i8ooHMNgbRg8P5RFRmyq6JcwuPcTMFpHR\nb/QdxbXxSZwYeqduAR3l4jiG1/rGsGLnd38BEXWNZqwknwfQYxjG71Xu/7OmaU43YRz79vVSHv/2\n1qfbRkbfnEhg/FD9H9EJIdDXE8ZrI71YXs7V/X5EREFL5pfx+5/+KR6tPNkiMvokphKTa5HR9SCF\nQCwURV+4D6qicvWYiF7SjCK5AOAfmqb5TwzDeBfA9wzDOGGaptjthc0gpMRHX6bxfoMjo7ccixCI\nhDUMcd8xEbUhKSU+yTzH9MIsPslsjoyOYXLsPK6MBRsZvZkQAhEtjP5YH3SNx3KIaHtKtV1YoxiG\nEQagmqZpVX4+DeDHTdP8eqtf//VyvrEDrLAdHx/ML+D/Z+/Og+NK1/u+f0/vjaWxECBADsnhkBwe\nckjOcLgMV+teXVmWdaWyHDv+x3IpZZfjJY5LKVt2uVwpK5VyEpcTqVJyOXYW21dRVVyJLNmKNzm2\nJEviOsNZucwcbjNDzgwBgth6X8553/zRAAcNggRAdKO336fqVpF40d0vybmnf3j7Oc/zO9ceMjlT\nW2/8ymgfP3JyJyffGNuUyXXWWEJhh6H+RN37KU9M5wAY34QTcBF5KXX7ifibzGRTrqfloMK1rz/m\nd7+4wmS2dmT0eN8o39l9muOvvEmsjiOjl7PWEnZCDCYGSEQbdxO1iLS0dV1Pm/Fj9J8BjgB/yXXd\n7UAKePSiB8zM5DZjXwDMZUtcuTnBu58+fmZk9JG9I7xzYJQ9CyOjM+li4zdkob83Sm8iSjZdYGnF\n3Oho/4bKLf715S+45k0BcMId5SfO7N7QVje6n3prpf200l5A+3mRVtoLVPdTT5t5Pc2Us7w38SHv\nP/6YwrKR0QdG93F8y1H2LIyMzs6XgfLKT/Qcs8Xqp3tDiYEXfp+1dqFjRZJMsUxmhddpxX937Wdl\nrbQX0H5W00r7We/1tBkh+R8BP3Bd9/cBC/zpVii1ePg4y8Xrj7hxfxqz5Kxl6cjo/XtGNu0NxlhL\nMhZhsC/WkFq5qbnC04AMcM2b4p2DY4w2YCy2iHSXb7ITXJ14n5vLR0aHIrw1coh3th3HfWXXhq6n\nF766wqezHgAHh1zO7zj9zPcYY0lEYgzEUw278U9EOtemh2TP8yrAT2/2665k1ZHRh8c5eaAxI6Of\nxxpLOOwwnEqopZuItA1jDd7sXa4+ep8Hma9q1vqjfZwcf5tjW9+iJ7rxH8Rni/NPAzLAp7Meh0YO\nPj1RttYQcSIMJfuJhTV1VEReTlfetdDMkdHPUw3HIfr6opvS0m10MMkJd7Sm3EKnyCKyXi8aGb29\nd5xT247zxrBb/5HRz2MtqVi/JuWJyIZ1VUieni9y8cYjPvCmmjIy+rksDDSh3/FPnNnNOwfHABSQ\nRWRdnjcy2sHhwPDrnNp2nJ199R8ZDdUa5INDbk25xWA8RdSJMphUaYWI1EfHh2RrLfcfpbn4yQTe\ng2dHRr9zcCunDzV2ZPTzNLrueC0UjkVkray1PMh8zdVH1/Bma0dGx8Mx3t76Ju+MHWNwlRvp6uH8\njtMcGjkIwFA8RSqWIhlNNPx1RaR7dGxI9gPDx3efcOnGxMojow+Pc2x/Y0dGP4+1lnBIdcci0h4C\nE3Bz+jOuTrzPo9xkzdpQfIB3xo9zdOsR4ptc/zsYTxELxRhM6PRYROqv40Ly4sjoK7cmya0wMvrc\nkW24DR4Z/SLWWvqTMfp6NEpaRFpbvpLn/ccf897Eh2QrtZ0oqiOjT7B/aG9zAqq1DOj0WEQaqGNC\n8qPpHJduTKw4MvrovhHObnBk9Ey6SOA4vOy5rzGGRCzCYH+8aQFdRGQtpvJPuDrxPp9M3cK3tSOj\nD285yKltx9nWO9aUvVlriYWiDCYHdHosIg3V1iHZWMvtB3NcuP6I+9+ka9Z6k1FOvzHGOwe3bnhk\n9H/88CtufD5LJOxwYNcg3317x5ofa60l5DhsSSWJx1RaISKtaXFk9JVH17g//0XNWk8kyfGxo5wY\nO9rQkdGrsU87V+heChFpvLYMyeVKwAe3p7h0Y4In87VT78aHezh3ZJw3944QjWz8lGEmXeTG57NP\nf3/j81ne3DvCcGr1j/iMsfQkIgz0Nu/GPBGRF6kEFT55cpOrEx/wpDBdszaaHOH0tuMcHjlINNS8\nEjFrDdFQjCGdHovIJmqrkPy8kdEO4O4a4tyR8acjo5vJWEssEmIgFSeqG/NEpAWlyxnem/iQDx5/\nTMGvPWzYN7iHU+PH2TPwatOvp1Z9j0WkSdoiJD98nOHCJxPc/Lx2ZHQsEuKYO8rZw+OMDDTm47fh\nVILDrw09PU0+/NrQc0+RF0srBns3v+exiMhafJOd4Mqja9ya8Z4ZGX109DDvjB9jJLmliTusMsYS\nD8fU91hEmqblQ/Lf/ZVr3P+6dorTYF+M04c2b2T0d9/ewZt7RxgYSBK2dsXvqXatiNK3wfpnEZFG\n+aXL/5j7sw9qvtYf6+Pk2DGOj71JMtL8Wl+NlBaRVtHyIXlpQK6OjN62MDJ6cz8CHE4lGB7qYWam\ntg2SNYZkIqq6YxFpeUsD8vbecU5vO8HB4f2bNzJ6NSqtEJEW0vIhOeQ4HN4zzLkj4+zc2oSR0c9h\njCEeCzPQmyQSbpE3GBGRF1gcGX162wl29G1vmR/sjbEkIjEG4iqtEJHW0fIh+W//xbPgB6t/4yap\n1h2jlm4i0nb+1g//LLbQevdLDMVTJDQURERaTMv/yL6WVmubxRhLXzLK2HCvArKItJ2h5GCzt/CU\nNYaoE2U0uUUBWURaUsufJLeCxdKK7aN9zExnm70dEZG2Zq1lKDlArNw6nxKKiCynkPwCiy3dhlNx\nErHopt8sKCLSUawlHIownBykJ9ZDjkyzdyQi8lwKyc9hrKUnrml5IiL1YKylL9pLf6y32VsREVkT\nheRlFk+PR1IJYlHVHYuIbJS1li2JQfU9FpG2opC8hDGWnoROj0VE6sJawk6E4Z5BtXYTkbajkAxY\nYwlHHLakEkQjOj0WEdkoaw290R76Y63T315EZD26PiRbY0n1xuhNtl7vUBGRdmOtJYTDUGJI5RUi\n0ta6NiQba4lHQwz1JQmpa4WIyIYZY0lG4gzEUypZE5G215Uh2RrLYF+MnoROj0VE6mUoMUAiEl/1\n+54UZrDZEg6rf6+ISLN0VUi21hIJO2wZ7NHpsYhIHRhjSEQSDK7x9PjfffHbfDR1nUgkzOGhN/ix\n3d/bhF2KiKxf19xubKylJxFlVAFZRKQurLUMxgcYSgysKSA/Kczw0dT1p7//aOo6TwozjdyiiMhL\n646TZAtb+hPEY+pcISKyYWrtJiJdoKOvbsZaYhGHseGkArKISB1Ya+mJ9jLSM7zugDySHObo6JGn\nvz86eoSR5HC9tygiUhcdeZJsrcXBYagvRjKum/NERDbKWkvECTOYGCASfvm3jh/b/T2Ojx1ly3Av\nTkE37olI6+q4kGyMoTcRI9UbVQsiEZE6sNbSG03WbTDISHKY0b5+pgqZujyfiEgjdExIrpZWhBgc\nSBIJq7RCRGSjqoNBQgwlBjQYRES6TmeEZAuDvep7LCJSL9bYamu3RKrZWxERaYq2DsnGGJLxCIN9\ncZVWiIjUSbW1W4pENNHsrYiINE3bhuTq1Ly4To9FROqkXjfniYh0gra7ChpjiMfCDPUlNRRERKRO\njLH0xpKk6nRznohIu2ubkGytJeQ4DKfiJGI6PRYRqafh5CBx3ZwnIvJUW4RkYwy9yRgDvbqAi4jU\nizGGRCTOYHxtY6VFRLpJy4fkWCTE+HCvSitEROrIWstQfEA354mIPEfLj6UeHepRQBYRqRNjDFEn\nytaeEQVkEZEXaPmTZBERqY9qa7cBkgrHIiKravmTZBERqY9t/VsVkEVE1kghWUSkS4QcXfJFRNZK\nV0wRERERkWUUkkVEREREllFIFhERERFZRiFZRERERGQZhWQRERERkWUUkkVEREREllFIFhERERFZ\nRiFZRERERGQZhWQRERERkWUUkkVEREREllFIFhERERFZRiFZRERERGQZhWQRERERkWUUkkVERERE\nllFIFhERERFZRiFZRERERGQZhWQRERERkWUUkkVEREREllFIFhERERFZRiFZRERERGQZhWQRERER\nkWUUkkVEREREllFIFhERERFZRiFZRERERGQZhWQRERERkWUUkkVEREREllFIFhERERFZRiFZRERE\nRGQZhWQRERERkWUim/2CruuGgP8FeBMoAX/W87x7m70PEREREZHnacZJ8h8FYp7nnQX+BvALTdiD\niIiIiMhzNSMknwN+E8DzvKvAiSbsQURERETkuZoRklNAesnvg4USDBERERGRluBYazf1BV3X/QXg\niud5v7rw+4ee5+3c1E2IiIiIiLxAM05wLwLfB3Bd9zTwSRP2ICIiIiLyXJve3QL458CPuq57ceH3\nf7oJexARERERea5NL7cQEREREWl1umFORERERGQZhWQRERERkWUUkkVEREREllFIFhERERFZRiFZ\nRERERGQZhWQRERERkWUUkkVEREREllFIFhERERFZRiFZRERERGQZhWQRERERkWUUkkVEREREllFI\nlrbmuu4PXNf9z1b5nn/iuu7OOr7mgOu6/3wDj/9vXNf9+Rf9WkRkM7XztdR13e+5rvvpCus/77ru\nL2xsl9LNFJKl3dmF/73Id6nvf+tDwNENPH7pnpf/WkSkGdr2Wup53m8DCdd1jy1b/2ngH23g+aXL\nRZq9AZH1cl33F4GfAL4BwsDvLHz9vwO+BwwDT4A/BvxpYDvwr13X/SHgR4C/AiQX/vdnPc/7fdd1\n/wrwM4AB3vU87y+4rhsG/kfgOwuv8wPP8/5n4JeA7a7r/prneX98yb7eAf7XZdtNe573nRX+GM5z\nfi0isik67Fr6A+BPAh8sPMdZYMbzvFsv+dcjopAs7cV13f+U6snDG1RPIT5Z+PpeYL/neWcWfv/L\nwE97nvd3XNf988D3gTngzwM/4XnejOu6fwb4a67rXgL+BrCN6oX977uuux34I1RPKY67rhsH/p3r\nuteAvwz8x6UXdQDP894F3m7wX4GIyIZ14LX0l4HfA35u4fc/g06RZYMUkqXdfAf4Nc/zAuCJ67r/\nBnA8z7vnuu7Pua775wAXOAPcXfpAz/OM67r/CfBHXNd1F57L9zwvWLi4XwN+A/j7nud947ruHwTe\ncl33ewtP0QscBr5aaWOu654C/uGyL2c8z/uhevzBRUTqqKOupZ7nfeG67m3Xdb8LXKJ6Qv5zz/t+\nkbVQSJZ2Y6l+XLfIB3Bd9zjwfwG/APzqwtdryhhc1+2jevH+ZeA/Ah8D/yWA53l/dOHC/H3gN13X\n/WmqtXd/zfO8f7Hw+C1ADhhfaWOe511FJ8ki0h468Vr6T6iWXAwBv+V5XvYlnkPkKd24J+3mPwB/\nwnXdmOu6Q8AfXvj6D1H92O5/Az4Ffoxv3wB8IArsBwLgf6B6Yf8+EHZdd2Thzugbnuf9PPD/AW8C\nvw38Odd1IwtvCheBdxaer14/YKo2WUSaodOupQC/RrWW+k+iUgupA4VkaSue5/2/VC/KN6h+nHeT\n6onI/03147yPgd8CPgJeW3jYvwL+NdU6uo+Az4D3gQywy/O8J1RvEnlvoU5ukOqJxD8E7gAfAu8B\n/8jzvN8DJoAHruv+1gb+KM/rbqEOFyLScB14LcXzvCLV8H/E87zf38BzigDgWKv3ZBERERGRpRpW\nk+y6bhT4x8CrQBz421Q/uvkB1btebwB/yfM8pXQRERERaSmNLLf4aWBq4W7UPwz8fao3AvzNha85\nwE818PVFRERERF5KI0PyrwJ/a8nrVIBjC3VIAP8W+IMNfH0RERERkZfSsHILz/NyAK7r9lMNzP81\n8D8t+ZYsMLDa81hrrePopn8R6Vp1uwDqeioiXW5dF8CG9kl2XXcn8OtUG4r/U9d1/+6S5X6qd8i+\nkOM4TE1lGrXFdRkd7W+ZvYD2s5pW2k8r7QW0nxdppb1AdT/1ouvp82k/L9ZK+2mlvYD2s5pW2s96\nr6cNK7dwXXeMao/Ev+553g8Wvvyh67qLs9d/nOoISRERERGRltLIk+S/SbWc4m+5rrtYm/yzwC+5\nrhsDbgH/rIGvLyIiIiLyUhpZk/yzVEPxct9t1GuKiIiIiNSDJu6JiIiIiCyjkCwiIiIisoxCsoiI\niIjIMgrJIiIiIiLLKCSLiIiIiCyjkCwiIiIisoxCsoiIiIjIMgrJIiIiIiLLKCSLiIiIiCyjkCwi\nIiIisoxCsoiIiIjIMgrJIiIiIiLLKCSLiIiIiCyjkCwiIiIisoxCsoiIiIjIMgrJIiIiIiLLKCSL\niIiIiCyjkCwiIiIisoxCsoiIiIh0vP/2r/5LZz3fr5AsIiIiIh3LWktmvggwvJ7HRRqzHRERERGR\n5goCQzZdwhiz7scqJIuIiIhIx6mUA7KZIo7j4DjrqrQAFJJFREREpMMUC2UK+cpLheNFCskiIiIi\n0jGymSKVcrChgAwKySIiIiLSAYyxZOYLGGM3HJBBIVlERERE2pzvB2TmX77+eCUKySIiIiLStkrF\nCvlsGSdUn3C8SCFZRERERNpSLlukXPRxQvUf/aGQLCIiIiJtZXFASBCYhgRkUEgWERERkTbi+wHZ\n+RI41K3+eCUKySIiIiLSFkrFCrlsmVCd649XopAsIiIiIi0vny1TKlY2JSCDQrKIiIiItLDa+uPN\nCcigkCwiIiIiLcr3A7LpEtDY+uOVKCSLiIiISMspl31y6dKmnh4vpZAsIiIiIi2lkCtTKGxe/fFK\nFJJFREREpCVYa8mmi1QqpqkBGRSSRURERKQFBIEhmy5hrW16QAaFZBERERFpskrZJ5cpwSbfnPci\nCskiIiIi0jSFfJliobLp3StWo5AsIiIiIpvOWksuW6JcClqivGI5hWQRERER2VTGWNLzBaxpjfrj\nlSgki4iIiMimqVQCsukijuO0XInFUgrJIiIiIrIpSoUK+Vy5aQNC1iPU7A2IiMjKgnyOiz/1x/ua\nvQ8RkXrIZork8+0RkEEnySIiLcdaiz87iykWAaLN3o+IyEZYa0nPFTDGtnR5xXIKySIiLcSUy/gz\nMwA4IX3YJyLtzS8HzM0UcBzaKiCDQrKISMvwsxmCdEbhWEQ6QqlYYc7mW2k+yLooJIuINJk1Bn92\nBlMuKyCLSEfIZ8uUimWSiVizt/LSFJJFRJooKJXwZ2dxAMdRQBaR9matJTNfJAhM2//Qr5AsItIk\n/vwcQS7f9m8kIiIAvh+QTZeA9qs/XolCsojIJjOVCv7MDNa0/0mLiAhAqeSTz5bbtv54JQrJIiKb\nyM9mCDIZHCfUESctIiL5XJliodKy46VflkKyiMgmsMbgz0xjKhXVHotIR7DWkk0X8X3TcQEZFJJF\nRBouyOfx5+dxHEcBWUQ6QhAYsvNFLJ1Rf7wShWQRkQZZOjlPtcci0ikqZZ9sutQ246VflkKyiEgD\nBKUSwdwsWE3OE5HOUchX6487PSCDQrKISN358/ME+ZxKK0SkY1Trj0tUKkFH1h+vRCFZRKROalq7\nKSCLSIcwpjogxJjOvEHveRSSRUTqQK3dRKQTVcoB2Uxx4cbj7rq2KSSLiGyAWruJSKcqFSrk8+Wu\nC8eLFJJFRF5SkM/jp+dxUGs3Eeks2UyRSjno2oAMCskiIutmrcWfm8MUCupcISIdxVpLeq6AMbar\nAzIoJIuIrIspl/FnZ8FaBWQR6Si+H5CZL+E4nTsgZD0UkkVE1kit3USkU5WKFfLZclf0P14rhWQR\nkVUY3yeYncX4ujlPRDpPLlukXPT16dgyCskiIi8Q5PP483MLrd30BiIincPaav/jIDAKyCtQSBYR\nWYE1Bn9uFlMs6c1DRDqO7wdk50ug+uPnUkgWEVkmKBbx5+ZwQAFZRDpOqVghn6ugbPxiCskiIgus\ntZSmZ/BnZhSORaQj5XNlSoWKbtBbg4aHZNd1TwF/x/O8H3Zd923gXwJ3Fpb/ged5/0+j9yAishpT\nLuPPzBAM9Sggi0jHsdaSTRfxfaOAvEYNDcmu6/514E8B2YUvHQd+0fO8X2zk64qIrMfS1m6qzROR\nThMEhux8EYvqj9ej0SfJd4E/BvzKwu+PA/td1/0pqqfJ/5XnednnPVhEpJGM7+PPzGCDQJ0rRKQj\nlcs+uXRJp8cvoaHvCp7n/TrgL/nSVeDnPM/7DnAf+PlGvr6IyPP4uSyVqcdgjE5WRKQjFfJlchkF\n5Je12Tfu/XPP8+YXfv0vgF9ay4NGR/sbt6N1aqW9gPazmlbaTyvtBbp3P9YYSlNPMJEAZ8vKrzk8\n3Lspe1mLL+r8fK30795KewHtZzWttJ9W2gu03n5GRvpIzxUhAb098WZvp6Wuqeux2SH537mu+5c9\nz3sP+BHg2loeNDWVaeyu1mh0tL9l9gLaz2paaT+ttBfo3v1UW7vN4LzgQ7Th4V5mZnIN30uztMq/\ne7f+N7hW2s/ztdJeoPX2MzzUw+f3p7HWNnsrQHtfUzcrJC/+S/1F4O+5rlsBHgF/bpNeX0S6mLUW\nf24OUyioc4WIdKxKOWB2utAyAbndNTwke573BXB24dcfAucb/ZoiIotMuYw/OwvWKiCLSMcqFsoU\n8hW2bOlr9lY6hoaJiEjH8ufnMfk8GislIp0smylSKQe6CbnOFJJFpOMY38efncH6vlq7iUjHMsaS\nmS9gjFVAbgCFZBHpKEE+jz8/tzAYRAFZRDpTpRKQTRdxHEcBuUEUkkWkI1hj8OdmMcWSao9FpKOV\nChXyubL6HzeYQrKItL2gVMKfncUBBWQR6WhP648VkBtOIVlE2po/N0eQzysci0hHs9aSnlP98WZS\nSBaRtrTY2s0ao4AsIh3N9wMy8yUcBwXkTaSQLCJtx89kCDIZnFBIbxgi0tFKxQq5bJmQyis2nUKy\niLQNawz+9DTGr+j0WEQ6Xj5bplSsKCA3iUKyiLSFamu3+YV2RwrIItK5rLVk5osEgdENek2kkCwi\nLU2t3USkm/h+QDZdAlR/3GwKySLSstTaTUS6Sankk8+WUTZuDQrJItKS1NpNRLpJPlemWFD9cStR\nSBaRlqLWbiLSTay1ZNNFKhWjgNxiFJJFpGWotZuIdJMgMGTni1hQQG5BCski0nQ2CKhMPcb4vk6P\nRaQrVMo+2XRJ3StamEKyiDRVkM9TKKWxgVFrNxHpCoV8tf5YAbm1KSSLSFPUtHYb6W/2dkREGs5a\nSy5TolwOVF7RBhSSRWTTqbWbiHQbYyzp+QLWWAXkNqGQLCKbyp+fI8iptZuIdI9KOSCbKS5MDFVA\nbhcKySKyKdTaTUS6UalQIZ8rq/64DSkki0jDqbWbiHSjbKZIpRwoILcphWQRaRhrDP70E7V2E5Gu\nYq0lPVfAGKuDgTamkCwiDRHk8/jz8ws1eArIItIdfD8gM1/CcVBAbnMKySJSV9Za/Lk5TKGg02MR\n6SqlYoV8VvXHnUIhWUTqxpTL+DMzgFq7iUh3yWWLlIsqLeskCskiUhf+/DxBLqc3iDopT0yQefdy\ns7chIquwplp/HATq3NOqZp7kuH1jct2PU0gWkQ0xlUq1tVsQ6A1ig6wxFO7cJn3xAsX7d5u9HRFZ\nhe8HzDzJ6Qa9FmSM5esvZ/GuTzI1kXmp51BIFpGXptZu9WHKZbIfvk/68kX8J0+avR0RWYNSySef\nLbNli6JUK6mUA+55U9y+MUkuU1q+XFzPc+lfVqRNVKamAIiOjjZ5J4ut3aYxfkWnxxvgz82RvnqZ\n7HtXMcUl127HIekeIHXmHJP/5P9o3gZFZEX5XJlioaLx0i0kmy5x+8YE97wp/Ip5+nXHgVf3buHo\nqZ28eWxnbj3PqZAs0gZm/s2/IvP+NQD6j59g+Ps/2bS9qLXbxpUePmD+0gXyN2+AWXIxj0bpO3aC\n1JlzREdGmrhDEVmJtZZsuojvGwXkFmCtZWoii3d9gq+/nMXab9ei0TAH3xrnyIkdpAaTL/X8Cski\nLa4yNfU0IANk3r9G/8lTm36ibK3Fn53BFEs6PX4JNgjI37pJ+tIFSg8f1KyFBwZInT5L34mThJM9\nTdqhiLxIEBiy80Us6n/cbEFgeHB/htvXJ5h5kq9Z6x9I8OaJHRx4c5xYfGMxVyFZRFYVlEr4s7M4\nqLXbegWFPNlr75G+colgfr5mLb5zF6mz5+l54xBOONykHYrIaspln1y6pP7HTZBNV0vR+lIJSsUK\nd29NcefWJIV8peb7tu0c4K2TO3h130jdTvkVkkVaXHR0lP7jJ2rKLTbzFNmfmyPI5xWO16nyZIr0\n5YtkP3gfW1lyMQ+F6D10hNTZc8R37mreBkVkTQr5av2xAvLmu/nhNzz8fIbAN0SiYeZn8gTBtzUV\noZDDvoNbefPkDkbH++v++grJIm1g+Ps/Sf/JU8Dm3bhnyuVqazej3p9rZa2leP8e6UsXKHif1ayF\nkkn6TrxD6tQZIoODTdqhiKxVtf64RKUSqP64CTLzBe57UxQLlZob8QASySiH3t7OoWPb6e2LYVF1\n6QAAIABJREFUN2wPCskibWJTT4+zGYK0WrutlalUyH3yEelLF6lMTtSsRUZGSJ05R9/bxwnFYk3a\noYisRxAYsukSxugGvc3m+wFf3Jnm048fkU3XtnAbGEpy9PRO9r8xRiTa+BI1hWQRecoagz8zjamo\ntdtaBNkM6atXyLx7FZPL1qwl9u4jdfY8ydf36+9SpI1UygHZTHGhg48C8mbJ58rcuTnJ3U8fUy4F\nNWuxWJg97ijf/b67qf8mCskiAqi123qUH31D+tJFsp98BMGSi3kkQt9bR0mdOU9sfLx5GxSRl1Is\nlCnkKwrHm2hmKsdn1yd4cG8Gu6SHWyQSYv+RcfbsH2FgKPnSbdw2QiFZpMuptdvaWGMoeJ+RvnSB\n4uf3a9ZCfX2kTp2h/+Qpwn19TdqhiGxENlOkUg4UkDeBMZavv5jFuzHB1ETtp3C9fTEOH3+FN45u\nJ5GMNmmHVQrJIl1Mrd1WZ0olsh9cI33lEv70dM1abNs2UmfP03vkLZyILqci7cgYS2a+gDFWAbnB\nymWf+59NcfvmJLlMuWZtdFs/b53cwR53lHC4Nd6PdFUX6VL+/BxBTq3dnsefnSV95RKZ99/DLhsZ\n3XPgIKmz54nvfk1vqiJtzPcDMvOqP260TLrI7RuT3F9hZPRr+0d58+QOxl9Jtdy/gUKySJcx5TKF\nR48I8gUF5GWstWTv3efxb/4H8rdusHTGqROL0Xf8BKnT54hu2dLEXYpIPZSKFfLZsvofN4i1lqlH\nGa78zn0+v/OkZi0aC/PG0W0cOb6D/oFEk3a4OoVkkS7iZzIEmQyM9LfcT+zNZIOA3I3rpC9fpPzV\nw5q18OAgqTPn6D9+klCidS/mIrJ2uWyRctHXQUEDBIHhwb0ZvOsTzE4/OzL6rZM7cI9sfGT0Zmj9\nHYrIhllj8KefYHy9KSwV5PNk3nuXzNVLBOl0zVr81d2kzp6j58AbGhkt0iGstWTmiwSBhiTVW7FQ\n4e6nj7lz8zHFQu3I6PEdKY6e2sWre7e0Vd9phWSRDqfWbs8qTz0mc/ki2Q8/eGZk9NDxYyROnCb+\nyo7mbVBE6s73A7LzJXDQJ2l1NDeTx7s+yRd3n2CWjYze447yvR8/QDjWnu89CskiHcoagz83q9Zu\nC6y1FO/eIX35IoXbXs1aKNlD/8l36D99hq27tzMzk2vSLkWkEUrFCrlsua1OMVuZtZZHD+fxrk8w\n8fWyT+ESEQ6+tY23Tu6gpy/O6Gg/U1OZJu10YxSSRTqQWrt9y1Qq5D76kPTlC1QeP65Zi46Okjpz\nnt6jb2tktEiHymfLlIoVBeQ68CsBn9+Z5vaNCdJzxZq1weEkh4+/wsG3thGJdEaJmkKySIdRa7cq\nP5MmszgyOl97MpzY93p1ZPS+17v+70mkU9XWHysgb0Q+W+b2zUnuffbsyOjtuwY4cmIHr70+0nFl\nLArJIh3ClMv4s7NY0903pJS++Zr0xQvkbnxSMzLaiUToPXqM1NlzxLaONXGHItJoQWDIzFdPOjst\nuG2m6cdZPrs+wcP7M0s7YhKOhNizf4Q3T+5g67ZU8zbYYArJIh1gsbWbEwp15RuCNYb8Z7dIX7pI\n6YvPa9bC/f30nzpL/8l3CPf2NmmHIrJZymWfXLqk0+OXZIzlqy9m8a5P8GSydmR0sjeKe3icQ29v\nIzXY06Qdbh6FZJE2Zo3Bn5nGVCpdeXpsikUyH1wjc/kS/uxMzVps+yvVkdGHj2hktEiXKOTKFAqq\nP34Z5bLPvc+muHNjkly2dmT08GgvB9/cxv5DoyR64k3a4ebTO4dImwryOfz5dFe2dqvMzJC5cpHM\n+9ewpdK3C45Dz8E3SJ39A8RffbUrT9VFupG1lmy6SKViFJDXKTO/MDL69rMjo3fsHuLAm9vYtXeY\nWKz7ImP3/YlF2lz19HgGUy7hhDrjDuK1sNZS+vIL0pcukP/0Vu3I6Hic/uMn6T99lujwcBN3KSKb\nLQgM2XQJa60C8hpZa3n8KIN3fYKvv5yrWYvGwuw9MIp7eJyR8b6uDMeLuvdPLtKGgkIBf34Wh1DX\nBGTr+9WR0ZcuUP7m65q1yNAw/WfO0n/shEZGi3ShStknlylVjz1lVUFg+PLuNN6NSeaeGRkdZ/+h\nMfYe3Er/QKKrw/Ei/Q2ItAFrLf7cHKZQ6Jra4yCXI/PeVTJXLxNkahvRx3e/9u3I6C75+xCRWoV8\nmWKhorKqNSgWKty59Zg7tyYpFfyatbHtKfYf3srO14ZJ9saJxbrjAGYtFJJFWly1tdsM1tiuCITl\nx5OkL10k99EHWH/JxTwcpvfwm6TOnSe+/ZXmbVBEmi6bKVIuBSqvWEV1ZPQEX9ydfmZk9Kv7trD/\n0FZGxvpJ9sSIKhw/QyFZpIV1S2s3awz52x7pSxco3r1Tsxbq6aX/nVP0v3OaSKpz+3GKyOqMscw8\nyVEpKyA/j7WWrx/M4V2fYHL5yOhkhNffGGOfO0JvKqFwvAqFZJEW1C2t3Uy5TO6jD3l09RKlycma\ntejWMVJnz9H71tuEotEm7VBEWkWlEpBNF9mypa+jDw1ell8J+Pz2E+5++pi5mULN2uBwEvfIODtf\nGyKeiNLTGyMSVThejUKySIsJ8nn8+fmObu3mp+fJXLlM5r13MYXam0eS+11SZ8+T2LtPb4QiAkCp\nUCGfK2tAyApy2RJ3bj7m7qePqZRrR0a/smsQ981xRsaqXSqSPVGF43VQSBZpEd1wc17p66++HRlt\nlvTjjEbpe/sY/WfOERvd2sQdikiryWaKVMqBAvIyTyazeNcnePh57cjoSDTMa/u34B4ep7c/TjQa\nJtkbJRJROF4vhWSRFhCUSgRzs2DpuIBsg4D8p7dIX7pA6cGXNWvhVIr+U2fZ9aPfJV1+zhN0IWst\nWEMoFgfIr/b9Ip3IWkt6roAxVp8qLTDG8vDzGbzrE0w/ztWs9fTG2H94jONnXiWbLSkc14FCskiT\n+fNzBPl8x5VWmGKRzLV3SV+5RDBX26w+tmMnqTPnqiOjw2Eifb0wk3vOM3UHawJwQoTiMcKJBKFk\nD47jcO43fq20+qNFOovvB2TmSzgOCshAuVQdGX37xiT5XO2JwshYH+7hMXa8Vh2k1NcXJxRxFI7r\nQCFZpEmqrd1mscZ0VECuTE+TvnKR7PvXsOUlF3PHoeeNw9UWbjt36Y2P6g2aTjhMKBHDSfQQjseb\nvSWRpisVK+SyZXWvANJzBW7fmOTz20/w/dqR0Tv3DOMeGWdkax/GWGKxMImeKANDPZSnghc8q6yV\nQrJIE/jZhdZuTme0drPWUvz8PunLFyl89mntyOhEgv4T75A6dYbI0FATd9l81TIKixOLEorGCPf1\n4YR12iOyKJctUS5WCHVY2dl6WGuZ/CaNd32Sbx4s+xQuHmbvga28fmgrvX1xrLVEIiESPSqraASF\nZJFNVNParQNOj63vk/vkY9KXL1B+9KhmLbJlC6kz5+h7+zihLj4htdaAA6FonHAyQSiR7Li6c5GN\nstaSmS8SBKZr//8R+IYv7k7j3ZhgflkLt/6BBO6RMV57fYRINIw1CsebQSFZZJN0Umu3IJclc/UK\n6XevYLLZmrXEa3tInTtPcv+Brn2zs0GAEwnjxOOEE0nCiUSztyTSsnw/IJuult53widr61XIV7h7\na5I7nz5+dmT0KyncI+Ns3zmA4zgKx5tMIVmkway1lJ48wZ+ba/vQWJ6cIH3pAtmPP4JlI6P73jxK\n6uw5Ytu2N2+DTWRMQCgSJRSPE+rp0QAUkTUolXzy2TJdmI2Zna6OjP7y7jTGLBkZHXbYvW8L7pFx\nBod7AKrhOOqQ7E0QDrf3+0g7UUgWaaCgVMKfncUM97ZtQLbGULhzuzoy+t7dmrVQby/975yujozu\n72/SDpvDGgOOJRRL4MRjRHva999YpBnyuTLFQqWrbtCz1vLNgzk+uz7B428yNWuJZJTXD21l38Gt\nJJLVH7KtsURjEZK9UYXjJlBIFmkQf26htVubBidTLpP98H3Sly/iP3lSsxYdG6+OjH7zaFedmFoT\nQChMKB4lnEhW64u78QhMZAOstWTTRXzfdE1ArlQCPvee4N2YeFpasmhwSw8Hjoyza+/w0yBc7Vah\ncNxsCskidVbT2q0NA7I/N0f66mWy713FFIs1a0n3QHVk9J69XRMOTRAQikYIxeM4iaTatIlsQBAY\nsvNFLN1Rf5zLlLh9c5J7n009OzL61UHcI+Ns3db/9O9iMRz39EW7usNHq1BIFqkjP7PQ2i3Ufq3d\nSg8fMH/pAvmbN54dGX3sBKkz54iOjDRxh5vDWos1AU4sRigWJ9rbqzZtInVQLvvk0qWuGC/9ZDLD\nZ9cn+Wr5yOhIiD3uKPsPj9E/8O0NvcZY4vEIyd5Y15yut4OGh2TXdU8Bf8fzvB92XXcf8APAADeA\nv+R5nn3R40XaQU1rtzb66d8GAflbN0hfukjp4YOatfDAAKnTZ+k7cZJwsqdJO9wcT9u0xeJEBweI\nxfrb7occkVZWyFfrjzs5IBtjeHh/Fu/GsyOje/tivH5ojL0HRonFI0seo3Dcyhoakl3X/evAnwIW\ne0T9IvA3Pc/7Pdd1/wHwU8C/aOQeRBqtHVu7+fk887//u9WR0fPzNWvxnbtInTtPz8FDHX2CWm3T\nFsGJxwgnv512F+3rwylkVnm0iKxFtf64RKUSdGwILBYr3ProG+7cfLzyyOgj4+zYPVTz5zeBIZ6I\nKhy3uFVDsuu6Jz3Pe+8ln/8u8MeAX1n4/THP835v4df/FvhDKCRLm7LG4M/NYoqltjk9rjyZIn35\nIg8+/ACzdGR0KETvoSOkzp4jvnNX8zbYQE+n3UWjhGIxtWkTaTBjLOn5AtbYjgyCT0dG33mCX1k6\nMtph195h3MNjbNnaV/MYayyxeITkYLIj/046zVpOkv+u67qjwC8Dv+J53sRan9zzvF93XXf3ki8t\n/S8iCwys9blEWsliazcHWj4gW2sp3r9H+tIFCt5nNWuhZJK+xZHRg4NN2mHjVNu0VcsoQvE44Z6e\nlv/3EukElXJANlNc+IStc8KgtZbJr9N41yf45mHtp3CxeJi9B7ey/40xevpitY9bCMc9fbGO+vvo\ndI61q5cEu677KvAzwJ8AHlCtK/4Nz/Mqa3jsbuCfep53xnXdh57n7Vz4+k8Bf9DzvL+8ylOoZlla\nSnlmhkou3/J3HptKhdlr7/P4t3+Hwtff1KzFt46y9Ye/y/DpUx3XraFaX+wQTiSqZRTJRLu/KdVz\n87qeSsMV8mWymVJHnZT6lYDbtyb5+NpXzEzV1hsPDvfw1skduIfHiUZrS9SMsSSTUXr74h1dj91G\n1vWPsKaaZM/zvnRd9/8EfOAvAD8L/Peu6/4Nz/N+fR2v96Hrut/xPO93gR8HfmstD5qaao36wNHR\n/pbZC2g/q6n3fmpau60zdA0P9zIzk1v9G+sgyGZIX71C5t2rmNyykdF795E6e55XTr3N7FyB+ZwP\nOf85z7R5Nvr38+20uxihnt5qGYWh+mdb9newmlb877ieWuXP1op/z9rP8611P9lMkUo5aOgPppt5\nPS3ky9y59Zi7tx5TKtZeK8d3pHAPj3Pore3MzubJZL5tmWmNJZ6o3pBXKFUolFY9U6ybdv1vZzOs\n93q6lprk/5zqzXfbqZZcnPM87yvXdbcDHwFrCcmLpxd/FfjfXdeNAbeAf7au3Yo0iZ/NEKRbu7Vb\n+dE3zF+6QO6TjyFY0o8zEqHvraOkzpwnNj4OtH6JyGqqn4BZQtEYTiKuaXciTWatJT1XwBjbstfI\n9Zh9ksO7MfnMyOhw2GH36yO4h8cYWBgZvfTPWw3HUZK90Y74e+h2azlJ/gPAzwO/u7Rdm+d537iu\n+1+s9mDP874Azi78+g7w3ZfaqUgTtHprN2sMBe+z6sjoz+/XrIX6+kidOkP/O6cI9/Y95xnahzUB\nOCFCiRjheIJQskdvQiItwPcDMvMlHKe9B4QYUx0Z7V2f4PGj1UdGL6Vw3JlWDcme5/3MC9Z0Eiwd\nKygU8OdncQi1XGs3Uyp9OzJ6erpmLbZtG6mz5+k98hZOpL3nBVljcMJhQokYTqKn4+qnRdpdqVgh\nny23db1tpRxw//YUt29MPjMyemhLD+6ykdFLWWtJJCIMbtEP7Z2ovd9BRRrAWos/N4cpFlsuHPuz\ns6SvXiZz7V3s0pHRjkPPgYOkzp4nvvu1tr1YP23TFosSisYI9/V1dK9mkXaWyxYpF/2W/JRtLbKZ\nErdvTHL/sykqldqR0Tt2D+EeHmN027ODhRYbHsQTUZI9UXr7E+SLm1dzLJtHIVlkiaBYxJ+bq7Z2\na5Ggaa2l9PAB6YsXyN+6wdIZp04sRt/xE6ROnyO6ZUsTd/nyrDXYhf7F4WSCUCLZtm+6It3AWktm\nvkgQmLb7/6q1lieTWbzrE3z1xWztyOjokpHRqcSKj4Vvw3GrvEdI4ygki7Bwejw7Wz09bpGLvg0C\ncjeuk758kfJXD2vWwoODpM6co//4SUKJZy/mra467S6ME48TTiTp2TFKrkXufhaR5/P9gOx8Cdqs\n/tgYw4P7M3jXJ59p4dbbH2P/oTH2HBglFns2Fi2G40QySiKpcNxNFJKl6y22dsPalgjIQT5P5r13\nyVy9RJBO16zFX91N6uw5eg680XZlCN+2aYtr2p1IGyoVK+RzFdopI5aKFe59NsXtm5MUcrUlEaPj\n/bhHxnjl1aEVezorHItCsnQ1P5MhyGRaIhxXpqZIX75A9sMPsJUlF/NQiN4jb1brjV/Z0bwNrlN1\n2p0lFEvgxGNq0ybSxnKZIrlsuW0GhKTnCnjXJ/j89jRBUDsy+tW9w+w/MsaW0ZW7/lTDsaNwLArJ\n0p2sMfjT0xi/ua3drLUU792tjoy+7dWshZI99J98h/7TZ4ik2mOCuzUBhMKE4lHCiR5CibafdifS\n1ay1ZNNFHEvLB2RrLRMLI6MfrTAyet/Brbx+aIye3thzH69wLEspJEvXCfJ5/Pl5HMdpWvcKU6mQ\n+/hD0pcuUnk8WbMWHR0ldeY8vUffJhRb+WLeSkwQEIpGCMXjOImk2rSJdIggMGTni1hau/7Y9w1f\n3HnC7RuTzM8WatZSgwncI+Psfn0LkcjKJWpLw3Gyp/WvubJ5FJKla1hjqjfnlUpNOz32M2kyiyOj\n87U3jyT2vU7q7HmS+15v6bKEaps2gxOLEYoniPb0tF19tIi8WLnsk0uXWrr/cSFf5s7Nx9z9dKWR\n0QO4R8bYtmPguQHfWouDQzIZI9GjeyTkWQrJ0hWCfA5/Pl09PW5CAM0/eMjUb/57ctc/qRkZ7UQi\n9B49RurMOWJjY5u+r7Wy1oADoViccELT7kQ6WSFfpliotGxAnprI8O7Fz3lwb2blkdFHxhkYSj73\n8dZWR2f39MSIrzA9T2SRQrJ0tJqx0ptcWmGNIf/Zp6QvXaD0xec1a+H+fvpPnaH/5CnCvb2buq+1\nqrZpi+DEY4STmnYn0ukW648rFdNy9cfGWL7+chbvxiRTy0ZGJ3uivH5ojH0HR4knnh96n4bj3tgL\nv09kkUKydCw/n6f8eGLTx0qbUons+++RvnwJf3amZi22/ZXqyOjDR5o2MtqfmaFkC+DUnrQ8nXYX\njRKKxdSmTaRJ0nMFIqHNLWEKAkM2XcJa21IBuVIOuOdVR0bnMrUjo4dHqiOjd+5ZeWT0IoVjeVkK\nydJxrLUE83OUS2EcNi8cV2ZmyFy5ROb997ClJRdzx2HwrTdJnDhN/NXdTS1TmP/d3yF78wbT4RCJ\nA2+Q+gPfeVpGEYrHCff0tHQ9tEin++Dyl9z3pohEwuzaO8yxM682/DUr5YBspthSJVTZdInbNye4\n99kUfmVpCzd47fURXnNHGR3ve+GerbWEHIekwrG8JIVk6SjVwSAzWGNxelbugVlP1lpKX35J+tLv\nk//0Vu3I6Hic/uMn6T99lrF9O5mZyb3gmRrPn5khe7M61toC2Vs36T97nviOHS315ijSrdJzBe57\nU09/f9+bYt/BraQGn19fu1HFQplCvtIS1wBrLVMT1ZHRX3/57MjovQdG2X9onF27h194PTXGEg4p\nHMvGKSRLx/CzGYJ0dTBIoy/41verI6MvXaD8zdc1a5GhYfrPnKX/2ImWGRltggBCoeoxTDhMOBbF\n+gFh9TEW6VrZTJFKOWj6NSAIDA/vz+Bdn2DmSb5mrbc/jnt4jD3uKNHYi0tQFsNxb5/CsdSHQrK0\nvZqb8xpcKhDkcgsjoy8TZJaNjN792rcjo5tcslDt+2kJRWM4iXh12t0rrzBw6jSZ968B0H/8BNHR\n0abuU0S+lRpMsscdfXqavMcdbcgpsjGWzHwBY2xTA3KpWOHup1PcuTlJIb9sZPS2ftzDzx8ZvZQx\nlnA4RG9fVOFY6kohWdpaUCziz800/Oa88uNJ0pcukvvoA6y/pB9nOPztyOjtrzTs9dfCmgCcEKF4\n7Llt2oa//5P0nzzF8JZeMqGeJu1URJ7n2JlX2XdwK8PDffgmWP0B6+T7AZn54sIwpeYE5PnZ6sjo\nL+48IQi+rakIhRx27RnGfXOc4ZHVu/4oHEujKSRLW7LG4M/NVQeDNCgcW2sp3LlN+vJFindu16yF\nenrpf+cU/adOE+lPNeT118IagxMOE0rEcBJra9MWHR0lMdpPZiqz6veKSOcoFSrkc+Wm9D+21vLo\nq3m865NMfLV8ZHSE19/Yyr43tj53ZPRSxhgcx6GvP0osrnAsjaOQLG0nyOfx03MLp8f1v9ibcpnc\nRx+SvnyRytTjmrXo1jFSZ8/R+9bbTWmPZq0FY3DiMULRGOG+Pk27E+kgjepu8bT+eJMDsu8HfHFn\nGu/6BOm5Ys1aaiiJe3iM3a+PEImsfthRbU8XYmAgCS3Upk46l0KytA3j+wRzc5hyCacBPUT99DyZ\nK5fJvPcuplB780hyv0vq7HkSe/dt+keUT6fdReOEkwlCiWTTa55FpP4a0d2iWfXH+VyZOzcnufvp\nFOVS7cjobTsHcI+MM/5Kak17srZaVpHoiRGLRYglopAprvo4kY1SSJaWZ60lSKcJcrlq54o6B+TS\n11+RvnShOjLaLOnHGY3S9/Yx+s+cIza6ta6vuZrqtLswTjxOOJEk3CJdMkSkfZRKPoVsCTax/nh6\nKot3fZIH92YWbiCuCodDvLZ/hP2Hx144MnopawzhSPhpOBbZbPqvTlpaUCwSzM9V+x7X8fTUBgH5\nT29VR0Y/+LJmLZxK0X/qLP0n3yHcs3k3txkTEIpECcXjmnYn0oXq2d0imylSKW1OeYUxlq+/mMW7\nMcHURLZmLdkbZf+hMfYeePHI6KWehuO+JLFV2r6JNJJCsrQkawz+7Gz1xrw69j02xSKZa++SvnKJ\nYG6uZi32yo5vR0bXsc73uWOgjXk67c6Jx6pt2lRGIdLVNtrdwvcDcukSxtqGB+Ry2ef+Z0+4fXOC\nXKZcszY82ot7ZIxde4YJrfG6thiOk33JVXsii2wGhWRpOX42Q5DJVlsU1Sk0VqanSV+5SPb9a9jy\nkou549DzxmFS584T37mr7h9JPjsG+ocgFCYUjxJOJKv1xRrmISJLpAaTDG3pYWqdHWgK+TLFfAUn\n1Njyiky6yO0bk9z3nh0ZvWP3EO6RcUbGXjwyeimFY2lVCsnSMoJSiWButtrWrA5t3ay1FD+/z/yl\nCxQ++7R2ZHQiQf+Jd0idOkNkaGjDr7WSlcZAp87/EPHx8Ya8noh0p3LZp5CrVFujNej02FrL40dp\nvOuTfPXFbM1aNBpm78FR9h8ao7d/9TaUi4wxRKMRkv1xIlGFY2k9CsnSdM+WVmwsIFvfJ/fJx0y+\ne5nCV1/VrEW2bCF1+ix9x04QWkNP4Zd6fWvBGgiHqzfMRCKEoxGsHxCKrd4DVES6W3quQGQNNyhX\nygGFfJkgMA0bDhIEhgf3Zvj3nz7myWRtvXFfKs7+w2Ps2b/6yOiljLFEo2H6UnEiEYVjaV0KydJU\n1dKKDI4T2nBpRZDNknn3Cul3r2CytRfzxGt7SJ07T3L/gYbU/T5t0xaLfzvtbrujMdAisi5r6ZNs\nrSWXKVIpm4aVVhQLFe5++pg7Nx9TLNSOjN66rR/3yDjbdw2uOjJ6qW/DcVThWNqCQrI0xbddKzZe\nWlGemCB96QLZTz6CJSOjnUiE3iNvkTp7jti27et+Xn9mBoDI8PCK69U2bRGceIxwcuVpdxoDLSJr\ntZY+yaXiwtQ8x2lIacXcTJ7bNyZXHBn96r4t7D88tqaR0UspHEu7UkiWTWUqFYL5eUy5vKHSCmtM\ndWT0xQsU79+tWQv19tL/zml2/aHvkQle7oK8eMMdQN+hwwx854cXyigsTjRKKBZbc5s2jYEWkY1a\nrDsOArOu09u1sNby6OE83vUJJr5O16zFE9WR0SfO7qZU9p/zDCtTOJZ2p5Asm6I6EGSeIJdfGAjy\ncuHYlMtkP3yf9OWL+E+e1KxFx8arI6PfPEooGiU60AszuXW/xtMb7hb2nb1xnd63jxHb/grhnh61\naRORhljsk3zn1mMcDHvcUXr6YqTnCgR+gBMK1TUg+37A57enuX3j2ZHRA0NJ3CPj7N63hXAkRG9f\nnNLM2kKyMZZYLEyiR+FY2ptCsjRcPQaC+HNzpK9eJvveVUyx9mKedA9UR0bv2VuX2jxrTLUTxkKY\nd0IhokPDRPr6NvzcIiKrshZjLaWiT2a+WNd2mLB0ZPRjyqXaXszbd1VHRo9tX9vI6NptV0+OFY6l\nUygkS8PUYyBI6eED5i9dIH/zxrMjo4+dIHXmLNGRjd8MZ4KAUDRCKB4n6boMnDmrG+5EZFOl5wrc\n++wxi1fKL+9Ns/O1IfpS9RlLP/04i3d9ggf3Z2tHRkdC7FkYGf0yE/6ssUR1ciwdSCFZGsLPZAiy\nL9e1wgYB+Vs3qyOjHz6oWQsPDFRbuJ04STj58jfCLbZpq067ixPtrZ12t3jDHaCALCLN+Z8xAAAg\nAElEQVQNZ6192s4NnLq9ORtj+eqLWbzrE8+0cOvpjfH6oa3sPbCVeGL9r1gNxyESPWrlJp1JIVnq\naiMDQYJCnuy196ojo+fna9biO3eROnuenjcOrWlk9EqjoK0JwAkRise+bdP2gtNthWMRaTRjLMV8\nmVLJJxaPsPO1LTz8vNpZZ+drwy99ilwu+dzzprhzY5JctnZk9JbRXtwj4+zcM7TmkdFLLZ4cJ3tj\nhMO6R0M6l0Ky1IU1htLUE/zp6XV3rag8mSJ9+RLZD9+vHRkdCtFz6HC13njnrjU/39JR0HH3IIM/\n/COEEjGcxMpt2kRENptfCSgWKpTLAaElvY4Pvb2dV/cOMzDQS2CDVZ7lWZn5hZHRt58dGb3ztWHc\nI2OMjPW/1J4XT46TvQmFY+kKCsmyIU+7VuTzmC39ay6tsNZSvH+P9KULFG57NSOjQ4kEfSdPVUdG\nDw6uaz+V6WmyN65X3xFCIXLeZwz9yI8SGWjM6GkRkbUyxlaDccnHWovjOCt2q+hLJRgYSjCzxu48\n1ZHRGbzrE3z95VzNWjQWZu+BUfYfHqO37+UOCRZvyEsNJRWOpasoJMtL8zMZglwGh7WfHJtKhdwn\nH5O+fIHKxETNWmTLCKmz5+h7+/i6xjdbWz0tCcXihPv6cKLR6ptPJEzIX/9JjIhIPZVLFUrFgEol\neBqK69GJJwgMX96bxrs+ydx0vmatLxXHPTzOa+4I0ejL1Qsv7VaRGkxSmlpfn2SRdqeQLOsWlErV\nlm7B2uuOg2yG9NUrZN69isktGxm9Z191ZPTr+9d+Em0MTjiEE1uYdpeo1u1Ft2whdeKkOlOISFP5\nfkCp4FMuB8DzT41fRrFQ4e6tx9y59ezI6LHtKdwjY2zfNfjSQbza51g35IkoJMuaWWPw52YxxbW3\ndCs/+ob0pYvVkdHBklPdSIS+t46SOnOe2Pj40y+/aBS0MQGhSJRQPP7CaXcaBS0izWCtXQjG/v/f\n3p3HxpVl9x3/vvdq31gskiKl7lZrf92S2Puize4ZOE7iSYwYRgIbdhBnJmMg9hhZHMCJHcN2NiCJ\n4TWOnXiLFwQ24GRieJzYmcBjz7gltXqdaUndemq11N3qRRQlUqriUuu7+eMVJVaRFEmRrFdF/j5/\nFflI1mGpdOrw1L33UK/7zbXGAOtTHN+amME7e433Lt3EX2RktDs6Qv/A/ee8YEKeTSan4lgEVCTL\nCtWnp2gUSys61N74PrPeBYqnXqR85XLLNTuTIffcEbLPHcFpG87RPgo6900vgAV2NIaViBNNpVfc\nadYoaBHplLlNeLVqAyzW3DWeKpZxrKBINcbwcXNk9Fj7yOhkhP2PbmPfwWGSqcWbBiuh4lhkcSqS\n5Z78apX67VuYen3ZpRWNcoXi6ZMUXzpF/ebNlmux7dvJHTtBevRxrMjCp93cKGhjDBYw9dY5skeP\nE3/ooXVZuycisp6Cc41r1Cp1fN9vTudce646/8bHXL0ygWNbxJJRSrfKlG63ThnNF4KR0Q/vDUZG\n36+gOHbI5DQERGQxKpJlUXdOrZieWfZIt/rkJMWXTnH19VdpzM7evWBZpB55lOzR4yR271my2DW+\nj7EssCwsx7lzbqeTTKpAFpGusugmvHUaGT1VLPP+pRuUy3Wq5fr8Q38AeGBnngOjIwzvyK4pN/q+\nIRJR51hkOSqSZYFGuRxszPPNksnfGEPl6gcUT77IzFvnWo5ws2IxMk8/Q+7IcaIDA4t+L76PFY8F\nJ1Kk08R37KDv+SPacCciXafR8KnM1qhUGhhjsO3124Q358b1Kc6//hG3J1u7xo5jsccdwh0dIdu3\ntvHUc8fOpTMx4on7X54hslWoSJY77iytqNWX3JhnGg2mz52lePok1Q+vtlyL5vvIHD1B9ulnsROt\nydwYv7m+OI6TTGAnkgsKcI2CFpFuYYyhWqlTKdep13xsJ9iEt57vbvm+4cMrE1w4e42b1xeeiZzp\ni/PXvuMQsfjaXqrniuNUWsWxyGqoSBb8Wo3G7dv41WpzXd3C7nFjZobSKy9TOnOKRrF184iTz4Nl\n46RTUK/fKZCXOqbtXlQci0iY6vUG5Zk6tWr97iY8Z327xtVKnXcvjHPx3Bgz060jo52ITSzukEhE\nwQq+9n6LZBXHImujInkLC450u0WjPIttO4sWx9Xx65ROn2TqjdcxtXnncdo26cOPkT48yuRffAUI\nXkxK586SeuwJ4jt23POYNhGRbmGMYXq6wu2JmXXdhNeudLuMd+4aV7wb1OttI6P3FNi5p8D5Nz4G\nIOLY1Bv+Uj/qnlQci6wPFclbULApr0hjZhrLsrFtZ8H18ruX7o6MnsdOpsg++xzZI0eJ5PrunGuM\nMcHGu0iE2OAgkb6+Tv06IiL35c4mvGodx7IxrN8mvDnGGMY+LnHx7DU++mDhyOh9j25j/6Ftd0ZG\nF2+Vef/STRoYHtpdIJNb+TpkYwy2ZZFUcSyyLlQkbzGNmWnqxRIYs+DECr9WY/obb1A8dZLa9bGW\na9GhbeSOHSf9+JMtI6Od/jyZ0ceYeus8djRK3+NPasmEiHQt3/cpz9SoVhr4c5vwnPUtjAEa9bmR\n0de4NTHbci3bl8A9PMzuA4NEFh0ZbTCLfHYp6hyLbAwVyVtEMEr6NqbRPO943uaTeqlIaW5k9Ezr\n5pHE/gPkjh4nuW//gg6LMYZIX56hv/Nd5MfHNeFORLrS/E14jbofLKWwwN6AIyZnZ2pcemuMd96+\nTmW23nJt+IEc7ugIOx7qW3QD4FSxzNUrE9iOTcSxuHplgof3Lt1NNs1ThVKpGPGkimOR9aYieZPz\n6/VgU16lsuC848rHH3H7z7/CjPc2+PPWx0UipJ94ityx48S2DS/4mcb4OMkkTl/+TqLXhDsR6Tb1\neuPOmGigOTF0Y85en7wZjIx+/9JNfH/eyGjHYldzZHS+sD5NhLniOJ6IkkxFdZ68yAZRkbyJ1Usl\nGlMlLOvuiRXG95m58BbFUyepvHel5eudbJbs80fJPvs8Tjq94OcZE5ybHC0Mtiy5EBHpFsYYyrPB\ncopGo4G9xHGW63VfH39wC+/sGGMfLxwZfeDgMPsObiOxwi5vJpfgod0Frl4J9nq0r0lWcSzSWSqS\nN6FGpULj1mQwDKTZOfbLZUqvv0rp9CnqkxMtX29Fo9jpDCPf97kl1xMb4+Ok0tqQJyJdqVptUC3X\nqFbqd9YY2+u8CW9OrdbgincD79w1poqVlmv5gRTu6HAwMvo+1jofenIHD+8t0NeXpmEadz5vfEM8\nqeJYpJNUJG8ifrVKo1i8e96xZVGbmKD00ilKr72CqcxL5paFFY9jpzNYsVjwNqSzxHhSCyL9Azjx\neGd+ERGRFfB909yEV9/QTXhzpqcqXDw3xrsXxqlVGy3XHng4jzs6wrbtaxsZDUFHua8/wcTEdFAc\nJ6Ik0yqORTpNRfIm4FerNEqlO+uOsSzK712heOpFZt5+q3VkdDxO9ulnyB45zszZbzB1/hwAmUOH\niRQKLT93sbXHIiJhq5RrHdmEN+fGWIkLZ8f48MrE/HRKJGKzxx3iwOHhNY+Mbmd8QyRik8rE130E\ntoisjIrkHlUbH2d6dpLadCMojh0HfJ+pN79B8dSLVD/+qOXrI/0FckePkXnqmTsT8fpe+DTp0ceD\n6/MKZGN8rEiEaF9Ba49FpCt0chMeBEfFXb08iXdu4cjodCbG/sPD7HWH1jwyeuH9BsVxvj+F2bim\nuIisgIrkHnTjj/6Q0quv8Iljk3zkIJlnnqP0yhlKZ07TKLWeLhHftZvcseOkHjm46CH5i3aPczki\n6cyG/g4iIsvp5Ca8OdVKnUtvj/PO+YUjoweHM7ijIzy4q39DurvGGNKZ4KzjSGyJ5W8i0jEqknuI\nX61Sfu8KpVdeBsvC1GrcPvmXTH7lz6Ax7zxOxyE9+hi5YyeI73hgRT/b+D52LEa0UFj3iVMiIqsx\ntwmvVm2AFXSNN2oT3pzJmzO8evI9Ll+8QaNlZLTFzj39uKMjDGzbmOaB7xticYd0Jq6lbSJdREVy\nD2hUKvhTU/iVCqZWx69U8KenWjfiAXYqTfa558k+f4RINrfin2+MIZLP46Q0CEREwnFnE161ju8H\nm/A2cjkFNEdGf1TEO3uNj6/ebrkWizvsfXQbBw4Ok8pszLIzYwy2bZPLx4lE1DkW6TYqkrtYY2aa\nxswMplrD1OtMf/0NiqdP0pi42fJ10W3Dd0dGR1c+dckYHzsSIdJfwI7oqSAinVcpB8sparXGnSUM\nG71RrVH3ee9SMDL69uQiI6NHR9i9f2CJkdHrw/iGRCpKMqV9HyLdSpVRlzG+T6NUojE7Cya4XXrp\nNKVXXsafnWn52sz+faSPv0Bi775Vv0VnfB8nrXOPRaTz6vUGpdtlJm8GG+KC5RQbv8xgdqbKpbeu\n885b16mUW0dGP7irn72PDLF9iZHR68X3DbGYTSqTXPJ3Lt6aJWKrsywSNhXJHVYbHwdYMLSj0VxC\n4ZeDY9yqH31I8dSLTJ99s3VkdDRK5smnyB49zoi7m4mJ1l3Xywmm5llEBzU1T0Q6p3UTnk8sEunY\n+tvJG9N458YWHRm9e/8gBw4Ps2ff0Krz6WqsdGnF66ff57I3TiTisHNvgaeOPrxhMYnIvalI7qCJ\n//PHlF57FYDs08/Q9y3fiinP4JermEZwMP3M2+eDkdHvv9fyvU4uR/b5Y2Sffe6+1w4b38dJ6dxj\nEemcWq1BZbZ9E97G5x/fnxsZfY3rn7Se+pNIRtl/aBv7Hl35yOi1xpJIRkml792YKN6a5bI3fufj\ny944+x7dRi6f3OgQRWQRKpI7pDY+TvHVVzC+D8bn9ulTxB/eRXRgMBgZ/dorwcjoW5Mt3xd74EFy\nx06QPjy69ES8FTDGECkUcBLre+C9iEg735/rGnduE96cWrXB5YvjXDw3tmBkdP9ACnd0hJ17C/c1\nMnq1jAnOPM72JVZ1f8HpGmpkiIRNRfIGM75PY2aa2uQEplbDEHRSsCwat29TfOkUU6+9iqnOO4/T\nskgdPEzu+AniD+1cU9fX+D52PE60v19Hu4nIhqpWalTKnd2EN2eqFIyMvnxhnFqtdWT0g7v6cUeH\nGRpZ+8jolTDGYFkW6WycWGzlL7O5fJJ4Msq1q7exLIvhB3PqIouESEXyBvBrNfyZmeCotnoN23aI\n5PrIHB6ldO4sfqWCbdtc+2+/3joyOpEg+8xz5J4/SqS/f81x6Gg3Edloi03C61RhbIzhxtgU3tlr\nfPjeZOvI6GgwMto9PEwm17l30HzfkLzPUyuKt2apzNbI9SeJODaV2RrFW7MqlEVCoiJ5hWrj45T9\nGbAXLzgb5TL+7AymWsXUG3eWRtjNHcqmXsfJ5bDqdeo3bzC/zxEpDNwdGR2PrzlW4zewY3ENBhGR\nDWGMoTJbp1Kp02j4wXKKDu5z8H2fDy5P4p29xsT4wpHRBw4Ps+eRoVV1cdce0/0trViM41g4EZt6\nvbH8F4vIhlGRvAJzG+6uRxySjz9J4TN/E+P7+OVZ/Nkyfq0CBiwrSIzz1w43pqcovXyG0pmXaEy1\nbR7ZvYfcsRMk3UfWrZg1xsfp69NYaRFZd/Vag3IIm/DmVMp13r1wnYvnx5idrrVcGxoJRkY/8PDG\njIy+F2MgnY4RX+MmwFw+yR536M7mvT3ukLrIIiFSkbyM2vj4nRMpjDHcPvMSib37cbJZsILuiYW9\nYI9FdewaxVMvMvWNr0O9dWR05rEnyB47Tnz7jnWLMzjazSY6MLSqgSIiIvdijGF2pkatUsf3fSzb\n7tgmvDnFW7N4Z8e4cvEGjUbbyOi9BdzRYQaGOt8YMMbgODbpbHzdNgI+dfRhRh7I0ZdPk87pmE6R\nMKlIXkajUsGv18H3sSJO0DJoNBbt/BrfZ/adixRPvUj53Ust1+x0muxzR8g+d4RINruuMRrj4yST\nRPJrX8csIgKLb8Lr5PItYwzXmiOjP1lkZPS+R7ex/9DwsseqbZS1rD2+F52TLNI9VCS3Mcbgz87g\nl8v41SqWbZE5eIip8+ewgMyhw0QKhZbv8atVpt54neLpk9RvjLdciw6PBCOjH3ti3Tu8xvhg20Tz\nBQ0GEZE1azR8KrM1KpVGc/hFZ5dTANTrPu9fuoF3dmzByOhcPoF7eIRdBwbuOZBjI63n2uN2OidZ\npLuEUiS7rvs6MNcauOx53j8II445xvdpTE9jKhX8agUsu7mMwgLboe+FT5MefZy+/iTT1t1kVb91\ni+KZ00y9+jL+bGsyT7qPkDt2gsSevRuyocXgE83nicXN8l8sIrIEYwzVSp1KuU69PrcJj44PHJqd\nqfLO+etcenvhyOiRB/t4ZHSYkQc3dmT0sowhnYkRT2hJm8hW0PEi2XXdBIDneZ/u9H3PFxzTNh0c\n01arYzc321n24t2JSKFAvJBmemKaytUPKJ46yfT5swtHRj/1DLmjx4kODm5I3Mb3sZNJon19RDMZ\nmC0t/00iIm2CTXh1atV6KJvw5kzcmMY7e40P3p1oGRntOBa79g/ijo7Q1x9uJ9UYQzRqk84mN7RI\n18Y9ke4SRif5cSDluu7/bd7/j3med2aj79QYEyyhKM/iV6rBGuPm+jp7BZPsTKPB5Guv88mX/4zK\n1Q9arjl9feSOHCPzzLM4yY05kzjYmGcRHRzU0goRuS/GN8xOV5uT8MLZhAfBkoXLF8d59fT7jLeN\njE6mouw/OMy+g0Nd0bE1xpBKd657/NTRh9n36DYKhQx1X0fAiYQpjCJ5Gvhpz/N+w3Xd/cCfuK57\nwPM8f7lvXK1g2t3M3WUUJth4YgGscANKY3aWqddeoXj6FI3bt1quxR/aSe7YCVIHD61pZPRyjO/j\npJI4fflw32oUkZ52Y3yKSqU59COEM9Rr1QaXvebI6FLbyOjB5sjoPZ0ZGb2cTnWPF5PLJ+kfSDE+\nrncKRcJkGdPZNa2u68YA2/O8cvPjM8B3ep730RLfsqoAG7UajelpGuUKpla9s754tcrXrzP+51/l\n5ksvBZ3nObZN/1NPsO3TnyK9e/eqf+5qGSBe6MdJ6i03kS1q3Sq0m+NToWxiKN6a5c3XPuTtNz+h\nWrnbHbUs2L1/iMeffZDtYa83nsf4kOmLk+iCTraIrKtVJZkwOsmfA0aBL7iuuwPIAZ/c6xuW+2u6\nUakE0+4qVUy9ft9dXWMM5cvvUjz1IrMXvZaR0XYyydA3HSf62DNE8nkqQGVieukftkZza48jfX1M\nT9VhauFjMDSU7apOg+JZWjfFAornXropFgjiWU8TG5i35psbGX3hzWt89P7CkdGHntjBzr0DZHLB\nlNHJyZmOxLWUQiHNzZtTze5xglKpTKlUDi2ebnwedks83RQLKJ7ldFM8q82nYRTJvwH8luu6f0nQ\nKP3sapda3Jl2Vy7fXUaxyLS7lfJrNabf/DrFUyepjV1ruRYZHCR39DiZJ59mcKR/w19g7gwF0dpj\nEelBjYbP1csTeOfGFo6MzsY5cHiYve4QwyO5jhXsK2F8Orr2WES6X8eLZM/zasD3rvb7TKNBY2YG\nv1LGVKvzjmlbOO1upRpTJYpnXqL08hn86amWa4k9+8gdP0Fy/4GOrd0zvo+TThPp6+vI/YmIrJdK\nucalt8d55/wYszNtI6O3Z3EPD4cyMno5vm+IxWwGhtLcuKkjNUXkrq4fJlKZmKR6/eaKjmlbqeon\nH1M8dZKpN78OjXm7hyMRMo89Qe7YcWIj29d0H6thjMFyHKIFDQURkd5ye3IW7+w13nvnBo3GvCVq\ntsXOPQXc0REKQ+kQI1ya8Q3pdIx4MhrKKR8i0t26vkj2Z2fBNys6pu1ejO8ze/ECxZMvUr5yueWa\nncmQa46MdjKZNd3P/cSl7rGI9BJjDJ98eBvv7BjXPmwfGR1h/8Ft7Du4LbSR0csxxuA4NukNmJon\nIptH1xfJa+VXKky98VowMvrmzZZr0ZHt9B07Qfqxx7EinX0odO6xiPSaet3nvXdu4J29RvFW66a2\nXH8S9/Awu/YPEol0b+FpfEMiFSWZUt4VkXvbtEVyfXKS4pnTlF59GVOel8wti+Qjj5I7epzE7j2h\nHDlkjI+TUvdYRHrDzHSVd86PcentcaqV1pHR2x/qwx0dYeSBXNcc4bYYYwy2bZPJx4lENu5cexHZ\nPDZVkWyMCUZGn3yRmbfOtRzhZsViZJ5+htyRY0QHNmZk9Eris2ybaEHdYxHpfhPj01xojoyef6a+\n49jsPjDIgcPDoY+MXgljDPF4lFRGeVdEVm5TFMmm0WD63FmKp16k+tGHLdecfJ7c0eNkn34WO5EI\nKUJ1j0WkN/i+4aP3J/HOXmP8WuupP8lUlP2Hhtn3aHeMjF6OMQbLssj2JdQ9FpFV6+kiuTEzw9Sr\nL1N86TSNYuvmkfjOh8kdP0HqkYMbOjJ6JQwQHVD3WES6V63a4N0L41w8f43pUrXlWmEojTs6zM49\nBewQxlnfD983xOIO6Uy8q5eBiEj36skiuTp+ndLpU0y98RqmNu88TtsmffgxcseOE3/wofACbDK+\nj52IE+0vKEmLSFeaKpbxzo1x2RunXrs718my4MFd/bijIwwOZ3oqhxljyOTixGI9+RInIl2iZzKI\nMYbyu5fujoyex06myD77HNnnj3bNcgaDIZLP46RSYYciItLCGMP4tRLe2TE+fG+y5Vo06rD30SH2\nHxomk42HFOH9McY0x0one6qoF5Hu1PVFsl+tUnr15WBk9PWxlmvRoSFyR0+QfuLJrlnKYIzBijhE\n+wvYHT5WTkTkXhoNnyvNI9wmb8y0XMtk4xwYHWbPgSGisd5bv2t8QyqjsdIisn66voo79+M/SX2q\nbWT0vv3kjp0guW9/x0ZGr4Q254lIN/udXznNzFTreuNt27O4oyPs2JnvupHRK+H7hkjEJpNP9mT8\nItK9ur5IniuQrUiE9BNPkTt6nNjwcMhRLWSASGEAJ95bb0+KyNYxVyDbtsXOvc2R0YPdOTJ6JXzf\nkNRgEBHZIF1fJEf7cqSfPUL22edx0t2XzO9szsv3d1VXW0SkXTIVZe8jQ+w7uK2nC8u5wSA5DQYR\nkQ3U9UXyoX/zr7hVrIQdxqIMBqcvRySdCTsUEZFlfd8PHuN2cTbsMNbEGEM8ESWV7t0iX0R6Q9cX\nycHmt+4qko0xWI5DtKDNeSLSO5xI777bpcEgItJpqvBWSZvzREQ6S4NBRCQMKpJXyBgDWJqcJyLS\nQRoMIiJh6d333joo6B4nSewYUYEsItIBxhgiEYt8IaUCWURCocxzD8YYLNsiWgi6x3qbT0Rk4xlj\nSKU1GEREwqUieQlB9ziFk+tTcSwi0gFzY6VTGQ0GEZHwqUhu0949FhGRjafusYh0GxXJ8+jkChGR\nzjK+TzQWIZ3VyRUi0l1UJDPXPbbVPRYR6SBjDKlMXN1jEelKW75IVvdYRKSzfN/gODb5QkrdYxHp\nWlv2CDhjDFgQHRhUgSwi0iHGQDodU4EsIl1vS3aSje/jpHVyhYhIpxgTdI/T2TiOs2X7MyLSQ7Zc\nkWyAyMAATjwedigiIluC8Q3xZJRUWns+RKR3bJki2fg+diJBtL9f3WMRkQ4wxmBbFpl8gkjECTsc\nEZFV2RJFssEnks/jpFJhhyIisiX4viEWd0hndLSbiPSmTV0kG+NjR2NECwUsW2vgREQ6wRjI5OLE\nYpv6JUZENrlNm8GM8XFyOSLpTNihiIhsCXNjpdPZhLrHItLzNl2RbIyPFYkQ7R/Ejmy6X09EpCsZ\n35DKaKy0iGwem6qKDI5202AQEZFOMcYQidik80lsW91jEdk8Nk2RbIwhUijgJBJhhyIisiX4viGZ\nipJM6Wg3Edl8er5INsZgOQ7RQkHLK0REOsAYg23b5PJxHe0mIptWT1eVxvexk0ki+bw2iYiIdIAx\nhng8Siqj7rGIbG49WyQb38fp0+kVIiKdlMkliEbVPRaRza8ni2SDITo4iB1TJ0NEZKMZ3xDVYBAR\n2WJ6qkg2xmBFbGID2zQcRESkA4wxpDUYRES2oJ7Jesb3cVJJIvn+sEMREdn0fN8Qi9mks0l1j0Vk\nS+qJItkYn0g+j5NKhR2KiMimZ3xDWoNBRGSL6/oi2WCIDmj9sYjIRjPG4Dg26b4EjqMlbSKytXV9\nFkxu364CWURkgxnfkEhGyeWTKpBFROiBTrI26ImIbBxjDLZlkcknNBhERGSeri+SRURkY/i+IZ5w\nSGcSYYciItJ1VCSLiGxBxkA2lyAaU/dYRGQxKpJFRLYQ4/tEYxHSWQ0GERG5FxXJIiJbhPEhlYnr\naDcRkRXQrjgRkS2iMJRWgSwiskIqkkVEtgjb1vIKEZGVUpEsIiIiItJGRbKIiIiISBsVySIiIiIi\nbVQki4iIiIi0UZEsIiIiItJGRbKIiIiISBsVySIiIiIibVQki4iIiIi0UZEsIiIiItJGRbKIiIiI\nSBsVySIiIiIibVQki4iIiIi0UZEsIiIiItJGRbKIiIiISBsVySIiIiIibVQki4iIiIi0UZEsIiIi\nItJGRbKIiIiISBsVySIiIiIibVQki4iIiIi0UZEsIiIiItIm0uk7dF3XBn4ZeAyoAJ/3PO/dTsch\nIiIiIrKUMDrJ3wHEPM87BvwL4GdCiEFEREREZElhFMnHgT8F8DzvDPBMCDGIiIiIiCwpjCI5BxTn\nfdxoLsEQEREREekKljGmo3fouu7PAC95nvcHzY+vep73UEeDEBERERG5hzA6uCeBzwC4rnsEeDOE\nGEREREREltTx0y2A/wV8q+u6J5sffzaEGEREREREltTx5RYiIiIiIt1OG+ZERERERNqoSBYRERER\naaMiWURERESkTRgb95blum4U+E3gYSAO/FvP874UblTguu424DXgWzzPuxhyLD8KfDsQA37Z87zf\nDCmOKPDbBP9WDeD7Pc/zQorleeDfe573add19wG/BfjAOeALnud1bAF+WyxPAP/25AkAAAVgSURB\nVL9I8PhUgL/ned71TsXSHs+8z30P8EPN6Zcd1fb4bAN+DcgDDsHjcznEeJ4A/gtQAy4Cn+/Uc2ex\n3Ae8zRqey8qnK4pF+XRhLF2TTxeJJ9Scqny6qnh6Op92ayf5e4Fxz/O+GfjrwC+FHM/cg/1fgeku\niOVTwNHmf8YXgDDPmf4M4Hiedxz418C/CyMI13V/hCAxxJuf+lngx5rPIQv4WyHG8vMEyfPTwBeB\nf96pWJaIB9d1nwQ+18k47hHPfwR+1/O8F4AfBx4JOZ6fBH7K87xvan7ub3QwnPbc95+Bn2Ftz2Xl\n03vH8imUT1t0Uz5dIp7Qcqry6arj6el82q1F8h8AP9G8bQP1EGOZ89PArwCfhB0I8FeBs67r/iHw\nJeCPQ4zFAyKu61pAH1ANKY5LwHcSPOkBnvI872vN238C/JUQY/luz/PmzgOPArMdjGVBPK7rDhC8\n+P6TeTGGFg9wDHjIdd3/R5DU/iLkeF4HBprP6SydfU63574aa38uK5/em/LpQt2UTxeLJ8ycqny6\nunh6Op92ZZHsed6053lTrutmCX7JfxlmPK7r/n2Cv0a+3PxUGP8R5hsCngb+NvAPgf8eYizTwC7g\nAvCrwH8KIwjP875I64v//H+jKYIXnFBi8TzvGoDruseALwA/16lY2uNpjoD/DeCHCR6Xjlvk32oX\nMOF53rcCH9DhTvsi8VwieCv3LWAb8NUOxtKe+36c1jy96uey8umylE/bdFM+XSyeMHOq8umq4+np\nfNqVRTKA67oPAV8BfsfzvN8POZzPEgxA+XPgCeC3XdcdDjGeG8CXPc+rN9fylV3XHQwpln8K/Knn\neS7wOMFjEwsplvn8ebezwK2wAgFwXfe7CDpnn/E872aIoTwN7GvG8nvAQdd1fzbEeABuAn/UvP0l\n4JkQYwH4BeCE53mPAr9L8PZcx7Tlvt9jHZ7Lyqf3pHy6vK7Kp9A1OVX5dHk9nU+7skhuJswvAz/i\ned5vhRwOnue94Hnep5rrn75OsBB+LMSQXiRYX4PrujuANMF/jDBMAMXm7UmCt76ckGKZ7w3XdV9o\n3v424Gv3+uKN5Lru3yXodnzK87z3wooDwPO8VzzPO9x8Ln838JbneT8cZkwEz+e5dWovEGymCNNN\noNS8/QnBBpiOWCL3rem5rHy6LOXT5XVNPoXuyanKpyvS0/m0K0+3AH6MoAX+E67rzq0n+TbP88oh\nxtQ1PM/7367rfrPrui8T/KHzg53eaTzPzwG/6bru1wh2hv+o53mdXnM739zj8M+AX2t2Yd4C/kcY\nsTTfjvsF4H3gi67rAnzV87yfCiOeto+tRT7XSfP/rX7ddd0fIPir/ntCjufzwO+7rlsn2Dn//R2M\nYbHc94+BX1zDc1n59B6UT++pm/IpdFdOVT5dWTw9nU81llpEREREpE1XLrcQEREREQmTimQRERER\nkTYqkkVERERE2qhIFhERERFpoyJZRERERKSNimQRERERkTYqkkVERERE2qhIFhERERFpoyJZZBGu\n6/4j13W/2rx9wnXdi67rpsOOS0Sk1yifSq/SxD2RJbiu+xXgfwI/BHzO87zTIYckItKTlE+lF0XC\nDkCki30OOA/8khK6iMiaKJ9Kz9FyC5Gl7QJuA0+HHIeISK/bhfKp9BgVySKLcF03A/wq8O3AjOu6\nPxBySCIiPUn5VHqVimSRxf0H4I89z3uNYA3dT7iu+3DIMYmI9CLlU+lJ2rgnIiIiItJGnWQRERER\nkTYqkkVERERE2qhIFhERERFpoyJZRERERKSNimQRERERkTYqkkVERERE2qhIFhERERFpoyJZRERE\nRKTN/wcNPUEMlCSryQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12663dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# or with linear regression\n",
    "\n",
    "anscombe = sns.load_dataset(\"anscombe\")\n",
    "sns.lmplot('x','y',col='dataset',hue='dataset', data=anscombe, col_wrap=2)\n",
    "#g = sns.FacetGrid(anscombe, col=\"dataset\", size=4, aspect=1)\n",
    "#g.map(sns.regplot, \"x\", \"y\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x126672b0>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnMAAAJMCAYAAACRnCB2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nxBwAwMDEHADAwMQcAMDA/j/AG74WfBNh4gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x124f1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# or with structured heatmaps\n",
    "\n",
    "#compute the correlations and take a look at them\n",
    "corrmat = gap.corr()\n",
    "\n",
    "# draw a clustered heatmap using seaborn\n",
    "sns.clustermap(corrmat, square=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TASK\n",
    "> create a scatterplot where \n",
    "> * x = lifeExp \n",
    "> * y = gdpPerCap\n",
    "> * color = continent\n",
    "> * size = pop \n",
    ">\n",
    "> label the axis appropiately and use a log scale for gdp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x112927b8>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYkAAAEZCAYAAABiu9n+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRJKUJEREJElJQkREkv4Pyh5YyskV6k0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123bcf28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#for each group create an own plot an overlay them\n",
    "pop_max = gap2007['pop'].max()\n",
    "for (name, group),color in zip(gap2007.groupby('continent'),colors):\n",
    "    plt.scatter(x=group['lifeExp'],y=group['gdpPercap'],label=name, c=color,s=(group['pop']/pop_max)*400)\n",
    "plt.yscale('log')\n",
    "plt.title('Life Expectancy vs GDP')\n",
    "plt.xlabel('Life Expectancy')\n",
    "plt.ylabel('GDP Per Cap')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interactive plots\n",
    "\n",
    "simple interaction is possible with IPython by default. That means whenever the user changes some parameter the visualization is recreated on the server side and send to the client. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from IPython.html.widgets import interact, interact_manual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello 50 True red\n"
     ]
    }
   ],
   "source": [
    "@interact(text='Hello', slider=(0,10),check=True,categories=['red','green','blue'])\n",
    "def react(text, slider,check,categories):\n",
    "    print(text,slider*10,check,categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "@interact_manual(text='Hello', slider=(0,10),check=True,categories=['red','green','blue'])\n",
    "def react(text, slider,check,categories):\n",
    "    print(text,slider*10,check,categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAECCAYAAADelD2uAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11299ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(bins=(5, 25, 5),color=['red','green','orange','blue'])\n",
    "def show_distplot(bins,color):\n",
    "    cars['mpg'].hist(bins=bins, color=color)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# custom build widgets:\n",
    "\n",
    "http://nbviewer.ipython.org/github/ipython/ipython/blob/3.x/examples/Interactive%20Widgets/Widget%20List.ipynb "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Accordion',\n",
       " 'BoundedFloatText',\n",
       " 'BoundedIntText',\n",
       " 'Box',\n",
       " 'Button',\n",
       " 'CallbackDispatcher',\n",
       " 'Checkbox',\n",
       " 'Color',\n",
       " 'Dropdown',\n",
       " 'FlexBox',\n",
       " 'FloatProgress',\n",
       " 'FloatRangeSlider',\n",
       " 'FloatSlider',\n",
       " 'FloatText',\n",
       " 'HBox',\n",
       " 'HTML',\n",
       " 'Image',\n",
       " 'IntProgress',\n",
       " 'IntRangeSlider',\n",
       " 'IntSlider',\n",
       " 'IntText',\n",
       " 'Latex',\n",
       " 'Output',\n",
       " 'RadioButtons',\n",
       " 'Select',\n",
       " 'SelectMultiple',\n",
       " 'Tab',\n",
       " 'Text',\n",
       " 'Textarea',\n",
       " 'ToggleButton',\n",
       " 'ToggleButtons',\n",
       " 'VBox']"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#hard core\n",
    "\n",
    "from IPython.html import widgets\n",
    "\n",
    "[widget for widget in dir(widgets) if not widget.endswith('Widget') and widget[0] == widget[0].upper() and widget[0] != '_']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAECCAYAAADjBlzIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n6QLWeAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12ae7f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(bins=widgets.FloatTextWidget(value=5))\n",
    "def show_distplot(bins):\n",
    "    cars['mpg'].hist(bins=bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello 50.0 True red\n"
     ]
    }
   ],
   "source": [
    "text_widget = widgets.Textarea(value='Hello', description='text area')\n",
    "slider_widget = widgets.BoundedFloatText(5,min=0,max=10, description='slider area')\n",
    "check_widget = widgets.Checkbox(True,description=\"CheckboxWidget\")\n",
    "toggle = widgets.RadioButtons(options=['red','green','blue'], description=\"RadioButtonsWidget\")\n",
    "\n",
    "@interact(text=text_widget, slider=slider_widget,check=check_widget,categories=toggle)\n",
    "def react(text, slider,check,categories):\n",
    "    print(text,slider*10,check,categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "b = widgets.Button(description=\"Update\")\n",
    "checkbox = widgets.Checkbox(description=\"CheckboxWidget\")\n",
    "\n",
    "tab1_children = [b,\n",
    "                 checkbox,\n",
    "                 widgets.Dropdown(options=['A','B'], description=\"DropdownWidget\"),\n",
    "                 widgets.RadioButtons(options=['A','B'], description=\"RadioButtonsWidget\"),\n",
    "                 widgets.Select(options=['A','B'], description=\"SelectWidget\"),\n",
    "                 widgets.Text(description=\"TextWidget\"),\n",
    "                 widgets.Textarea(description=\"TextareaWidget\"),\n",
    "                 widgets.ToggleButton(description=\"ToggleButtonWidget\"),\n",
    "                 widgets.ToggleButtons(options=[\"Value 1\", \"Value2\"], description=\"ToggleButtonsWidget\"),\n",
    "                 ]\n",
    "\n",
    "tab2_children = [widgets.BoundedFloatText(description=\"BoundedFloatTextWidget\"),\n",
    "                 widgets.BoundedIntText(description=\"BoundedIntTextWidget\"),\n",
    "                 widgets.FloatSlider(description=\"FloatSliderWidget\"),\n",
    "                 widgets.FloatText(description=\"FloatTextWidget\"),\n",
    "                 widgets.IntSlider(description=\"IntSliderWidget\"),\n",
    "                 widgets.IntText(description=\"IntTextWidget\"),\n",
    "                 ]\n",
    "\n",
    "tab1 = widgets.Box(children=tab1_children)\n",
    "tab2 = widgets.Box(children=tab2_children)\n",
    "\n",
    "\n",
    "i = widgets.Accordion(children=[tab1, tab2])\n",
    "\n",
    "i.set_title(0,\"Basic Widgets\")\n",
    "i.set_title(1,\"Numbers Input\")\n",
    "\n",
    "from IPython.display import display\n",
    "\n",
    "def button_clicked(bb):\n",
    "    print(checkbox.value)\n",
    "    #TODO update plot\n",
    "\n",
    "b.on_click(button_clicked)\n",
    "\n",
    "display(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TASK\n",
    "> make the plot from before interactive, such that you can slide the year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAEZCAYAAAB1mUk3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nICIiKAxERASFgYiIoDAQERHg/wHekaADZO/UwgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12bfa518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pop_max = gap['pop'].max()\n",
    "\n",
    "@interact(year=(gap.year.min(), gap.year.max()))\n",
    "def plot_gapminder(year):\n",
    "    gapyear = gap[gap.year == year]\n",
    "    for (name, group),color in zip(gapyear.groupby('continent'),colors):\n",
    "        plt.scatter(x=group['lifeExp'],y=group['gdpPercap'],label=name, c=color,s=(group['pop']/pop_max)*400)\n",
    "    plt.yscale('log')\n",
    "    plt.title('Life Expectancy vs GDP')\n",
    "    plt.xlabel('Life Expectancy')\n",
    "    plt.ylabel('GDP Per Cap')\n",
    "    plt.xlim(gap.gdpPercap.min(),gap.gdpPercap.max())\n",
    "    plt.xlim(gap.lifeExp.min(),gap.lifeExp.max())\n",
    "    plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Next\n",
    "\n",
    "[Machine Learning using Scikit Learn](04_MachineLearning.ipynb)"
   ]
  }
 ],
 "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": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}