Results Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pathlib\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "sns.set('talk')\n",
    "sns.set_style('white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = pathlib.Path(\"data_dir/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_params(f):\n",
    "    parts = f.name.split('_')\n",
    "    params = {}\n",
    "    for i in range(0, len(parts), 2):\n",
    "        params[parts[i]] = float(parts[i+1])\n",
    "    return params\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rank</th>\n",
       "      <th>it</th>\n",
       "      <th>lambda</th>\n",
       "      <th>alpha</th>\n",
       "      <th>mrr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>140</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.767216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>131</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.10000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.725186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.678645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>231</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.677591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>222</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.00100</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.665000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>161</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.10000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.664716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>106</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.663872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.663817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>138</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.00100</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.653816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>268</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.637561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>69</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.637130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>176</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.635859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>73</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.00100</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.633198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.631584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>232</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.631516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.629252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>58</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.628036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>62</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.627174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>193</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.626463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>197</td>\n",
       "      <td>500.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.10000</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.625677</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      rank    it   lambda  alpha       mrr\n",
       "140  500.0  10.0  0.10000    1.0  0.767216\n",
       "131  500.0  10.0  0.10000    2.0  0.725186\n",
       "0    500.0  10.0  0.00000  100.0  0.678645\n",
       "231  500.0  10.0  0.00001  100.0  0.677591\n",
       "222  500.0  10.0  0.00100  100.0  0.665000\n",
       "161  500.0  10.0  0.10000    5.0  0.664716\n",
       "106  500.0  10.0  0.00000   50.0  0.663872\n",
       "24   500.0  10.0  0.00001   50.0  0.663817\n",
       "138  500.0  10.0  0.00100   50.0  0.653816\n",
       "268  500.0  10.0  0.00000   20.0  0.637561\n",
       "69   500.0  10.0  0.00001   20.0  0.637130\n",
       "176  500.0  10.0  0.01000  100.0  0.635859\n",
       "73   500.0  10.0  0.00100   20.0  0.633198\n",
       "1    500.0  10.0  0.01000   50.0  0.631584\n",
       "232  500.0  10.0  0.01000   10.0  0.631516\n",
       "8    500.0  10.0  0.01000   20.0  0.629252\n",
       "58   500.0  10.0  0.01000    2.0  0.628036\n",
       "62   500.0  10.0  0.01000    5.0  0.627174\n",
       "193  500.0  10.0  0.01000    1.0  0.626463\n",
       "197  500.0  10.0  0.10000   10.0  0.625677"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = []\n",
    "for f in path.glob(\"rank*\"):\n",
    "    mrr = float((f / 'mrr.txt').read_text())\n",
    "    params = extract_params(f)\n",
    "    params['mrr'] = mrr\n",
    "    data. append(params)\n",
    "df = pd.DataFrame(data)\n",
    "df.sort_values('mrr', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_by_property(df, prop, title=''):\n",
    "    fig, ax = plt.subplots(figsize=(16,9))\n",
    "    sns.despine(fig)\n",
    "    mean_by_rank = df.groupby(prop).mean()['mrr']\n",
    "    min_by_rank = df.groupby(prop).min()['mrr']\n",
    "    max_by_rank = df.groupby(prop).max()['mrr']\n",
    "    ax.plot(np.arange(mean_by_rank.shape[0]), mean_by_rank.values, 'o-', label='mean')\n",
    "    ax.plot(np.arange(mean_by_rank.shape[0]), min_by_rank.values, 'o-', label='min')\n",
    "    ax.plot(np.arange(mean_by_rank.shape[0]), max_by_rank.values, 'o-', label='max')\n",
    "    ax.set_xticklabels([0] + mean_by_rank.index.tolist())\n",
    "    ax.legend()\n",
    "    if title:\n",
    "        ax.set_title(title,size =24, loc='left')\n",
    "plot_by_property(df, 'rank', 'Increasing the rank leads to better performance (at least until 500)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6GBbDyicbk/nh1/X86/vp/Lnr7dguYUsfEZHyohArIiIiUkYy87P44Mc5LN1dsDerYRhc26wvN7QeSogt2M/VFTaq1bUEWax89NNnpOzfwHPLX+eBbn/AHmT3d2kiIhekECsiIiJyibyml6W7VvLB+jlkObMBaFq9IbcnjqNRtTg/V3d+w1sMxGpYeX/9p/x4cBPPLH+Nv3T/Ew4FWRGpwBRiRURERC7B3uP7eXPtx2xO2w5AqC2EcW2vp3/jHgGxF+uw5v2xWiy8s24WGw5t4Z/fvsKD3f9EcAXrORYROUUhVkRERKQU8t1OPt00j+Qti/CYXgC61U/klvajiA6J8nN1F+faK/tiNay8lTKDnw//wtPfvMzknndXuCHQIiIAFf/tQREREZEKZt2Bjfx5/t/5bPMCPKaXWuExPNLrHu7rclvABdhTBjbrxR2J4wDYcmQHTy2bRo4z189ViUhZmTNnDvHx8ezbt8/fpVwy9cSKiIiIlFB6TgbvrJvFyn0pAFgtVoY3H8hvWgysFAsi9W/SA6th5fUfPuCXozt5ctm/eaTXPYTZQ/1dmoiIj2GapunvIi5WYmIiAGvWrPFzJSIiIlIVeL1e5m9fyswNyeS68wBoFXslEzreyBWRtf1cXdn7ZvcqXln9LqZp0qhaHH/rdR/hjjB/lyVSrNTUVAAaNGhQpvf15GaRvWUFnqwMrOHRhDXvgjUkvEwf43LzeDy43W7sdrvft/qCS/taqSdWRERE5AJ2pKfyxpqP2HlsDwCRjnBubj+KHg06VYhfBC+Hng07Y7VYmLbyHXYd28vjS6fyt973EekIrF/aRS6VaZocWzaD46uSwLBguvIxbA6OLnyLqM7XU63X2ID5PmC1WrFarf4uo0xoTqyIiIhIEXKcufx37UweXvSML8D2a9ydqYOn0LNh54D5xbW0utW/ioldbsNqWEjN2Mffl0zleF6mv8sSKVfHls3g+OpkTLcL05UPgOnKx3S7OL46mWPLZpRrPdOmTSM+Pp7U1FQmTZpEQkICXbt2Zfr06QDs2rWL8ePH0759e3r37k1SUpLv2qLmxPbt25c777yT1atXM3LkSNq0aUO/fv347LPPyvV5XSz1xIqIiIicwTRNVu5L4Z2UWRzLOw5AXFRdbu84juYxTfxcXfm6Oi4Bi2HhxRVvsuf4rzy+ZCqP9r4vYBevkqrN9Lhxn0gv8fnevGwyViaBx1X0/Vz5ZKxMIqxFFyyOks8bD4qojmG9tBh277330qxZMx544AEWLVrE888/T2RkJNOnT2fAgAH069ePGTNmMHnyZDp27Ei9evXOe6/du3czceJERo8ezYgRI5g9ezYPPfQQrVq1olmzZpdU5+WiECsiIiJy0qGsNN5aO4MfD24CwG61MbrVUIbE9yPIUjmG4V2sTvXa80C3P/D8d9PZl3mAKUte5NE+E6keEu3v0kRKzPS42fuf+3AfO1i2N/a4+PXNP1/UJUHVahP3h5cuKcgmJCTw2GOPATBy5Eh69OjBlClTeOKJJxg9ejQAXbp0YfDgwSQlJXHXXXed9147duzg448/JiEhAYDBgwfTq1cv5syZw4MPPljqGi8nDScWERGRKs/tcTNn05fcP/8JX4BNqNuGFwY/xvUtrqmyAfaUjnXb8Jfuf8RmCWL/iUNM+foFjuSUvEdLRMrWqaAK4HA4iI+Px2q1Mnz4cF9748aNiYyMLHZLnfj4eF+ABahevTqNGjVi7969ZV94GVFPrIiIiFRpmw5v4421H/FrZkEPTfWQaMYnjOGqK9pV+nmvF6N9nVY82ONOnln+Ggez0pjy9Qs81mcSMWE1/F2aSLEMaxBxf3jpooYTZ/28nIzlszDdzvPfN8hOdPfRhLfqXuL7lsVw4jp16hT6PCIigpo1a2Kz2c5pz8y88Fz2unXrntMWFRXF8ePHL6nGy0khVkRERKqkzPwsPlg/h6W7VgBgGAbXNuvLDa2HEmIL9nN1FVPb2i2Y3OMunvn2VQ5nH2XK1y/waJ+J1AqP8XdpIsUyrEHYomNLfH5kwjVkLP+kmLNMIjsOxBpcvltQFbXK8PlWHi5uR1WLJfAG5wZexSIiIiKXwDRNvt75PRPnTfEF2KbVG/LPAZO5pcMoBdhitK4Vz+Sed+MIcpCWk86Ur1/k4InD/i5LpMxZQ8KJ6nw9hs1R5HHD5iCq8/XlHmBFIVZERESqkL3H9zNlyQu8/sP7ZDmzCbWFMKHjWJ7s9380qhbn7/ICRsvYZvy11z2EBAVzNPcYjy15gf2ZZbxgjkgFUK3XWKI6DcMIsp0MswaGzYERZCOq0zCq9Rrr7xKrJA0nFhERkUov3+3k003zSN6yCI/pBaBr/URubT9K28WUUnzNJvy19708tWwax3KPF6xa3Hsi9aLqFH+xSIAwDIPqvW8kqvMwsreswJOVgTU8mrAWXdUD60cKsSIiIlKprTuwkbfWzuBw9lEAaoXHMKHjWNrVbunnygJfsxqN+Fvv+3hy2b/JyMtkypIXeLT3ROpHX+Hv0kTKlDUknMgOA/xdhpxkmMXN9K2AEhMTAVizZo2fKxEREZGKKj03g3dSZrFyXwoAVouV4c0H8psWA7EH2f1cXeWy69henlz6Eiec2UTYw/hb74k0rFbP32VJFZSamgpAgwYN/FyJFOdSvlaaEysiIiKVitfr5ctfljBp3uO+ANsq9kr+NfCvjGkzTAH2MmhULY5H+0wkwhHOCWc2f186lZ3pe/xdlohUUgqxIiIiUmnsSE/l4cXP8Pa6T8h15xHhCOfuzrfyaO+JXBFZ29/lVWoNousxpc8kooIjyXJm88TSqWw/utvfZYlIJaQQKyIiIgEvx5nLf1Nm8vDiZ9h5rKAHsF/j7rw0eAo9G3bGMAw/V1g1xEXVZUqfSVQLjiLblcsTy17ilyM7/V2WiFQyJVrYyel08tJLL5GUlERmZibNmzdn0qRJdOnS5YLX9e3bl19//bXIYw0aNGDhwoUXX7GIiIjISaZpsnJfCu+kzOJY3nGgIEjd3nEczWOa+Lm6qumKyNpM6Xs/jy95kfTcDJ5c9m8e7nk3zWOa+rs0EakkShRiH3roIRYuXMjNN99MgwYNmDt3Lrfffjvvv/8+HTp0OO91Dz/8MNnZ2YXa9u/fz9SpU+nWrdulVS4iIiJV2qGsNP6bMpN1B34GwG61MbrVUIbE9yPIYvVzdVVbnYhYpvS9n78vmcqRnHSe+uZlJve4k5axV/q7NBGpBIpdnfinn35i9OjRTJ48mVtvvRWA/Px8hg4dSmxsLB9++OFFPeCrr77KSy+9xMcff0xCQkKpitbqxCIiIlWX2+Pm862L+HTTl7g8LgAS6rZhfMIYYsNq+Lk6OdPh7KM8vuRF0rKPYrfaeLDHnbSp1dzfZUklptWJA8dlXZ14/vz52Gw2Ro8e7WtzOByMGjWKtWvXcvjw4Yt6wP/973/Uq1ev1AFWREREqq5Nh7fxfwufYsaGz3F5XFQPieaBbn/gwe5/UoCtgGLDavB4n/upFR6D0+Pin9++yo8HNvm7LBEJcMWG2M2bN9OoUSPCwsIKtbdt2xbTNNm8eXOJH2zTpk3s2LGDoUOHXnylIiIiUmVl5mfx6ur3mLLkBX7NPIhhGAy5sh8vDn6MTvXaa+GmCqxmWHUe73M/dcJjcXlcPLv8NVL2b/R3WSISwIoNsWlpacTGxp7THhMTA3BRPbHJyckAXHfddSW+RkRERKou0zRZsvN7Js2bwtJdKwBoUr0B/xwwmVs6jCLEFuznCqUkqodGM6Xv/VwRURu3181z373Oml/X+7ssEQlQxYbYvLw8bDbbOe0OhwMomB9bEl6vly+++IKWLVvSpIlWCxQREZEL23f8AFOWvMBrP7zPCWc2IbZgbksYy1P9/kKjanH+Lk8uUrWQKB7rO4m4yDp4vB6e/246q/at83dZIhKAig2xwcHBuFyuc9pPhddTYbY4q1ev5tChQwwbNuwiSxQREZGqJN/t5KOfPuP/FjzJ5rTtAHStn8jUwVMY2KwXFou2uQ9U0cGRPNZnEg2irsBjennx+zf5fs9af5clIgGm2C12YmJiihwynJaWBlDkUOOiJCcnY7FYGDJkyEWWKCIiIlXFugMbeWvtDA5nHwWgVngMEzqOpV3tln6uTMpKZHAEj/aZyJNL/82ujL28tPItvKaH7g06+bs0EQkQxb6V2bx5c3bt2nXOfq/r16/3HS+O0+lk4cKFdOrUiVq1apWyVBEREams0nMzeOH7N/jHN69wOPsoVouVkS2v5fmBf1WArYQiHOH8rc99NKnWANM0mbbqHZbtWunvskQkQBQbYgcNGoTL5WLWrFm+NqfTyZw5c0hISPCF0v3797Njx44i77Fs2TIyMzM1lFhEREQK8Xq9fPnLEibNe5yVe1MAaBV7Jf8a+FfGtBmGPcju5wrlcgm3h/HX3vfSrHpDTNPk1dXv8fXO7/1dlogEgGKHE7dr145Bgwbxr3/9i7S0NOrXr8/cuXPZv38///jHP3znPfjgg6xevZqtW7eec4/k5GTsdjsDBw4s2+pFREQkYO1MT2X6mo/YeWwPUNA7d3O7kfRs2Flb5lQRYfZQHul9L//45hW2HtnB6z+8j8frYUDTHv4uTaSQLGc2K/euIyMvk+jgSK6O60C4Paz4C+WyKNHKCM8++yw33XQTSUlJPPnkk7jdbqZPn07Hjh2LvTYrK4ulS5fSu3dvIiIiLrlgERERCWw5rlz+mzKTyYuf8QXYvo278dLgKfRqdLUCbBUTagvhkZ530yKmGQBvrP2I+duW+rcokZNM02TGhs/5Q9Jk3l03i082JvPuuln8IWkyMzZ8jmma5VrPtGnTiI+PJzU1lUmTJpGQkEDXrl2ZPn06ALt27WL8+PG0b9+e3r17k5SU5Ls2IyODZ555hmHDhtGhQwcSEhKYMGECW7ZsKfQYf/nLX2jfvj2pqam+Nq/Xy7hx4+jevTsZGRnl82QvwDDL+2++DCQmJgKwZs0aP1ciIiIiJWWaJiv3pfBOyiyO5R0HIC6qLrd3HEfzGG2/V9XlufN59tvX2Hi4YFTfLe1HMSS+n5+rkkBzKng1aNCgTO43Y8PnfLH1K/I9znOOOax2hsT3Y2yb68rksUpi2rRpvPzyyzRv3pxmzZqRkJDAokWL+P7773n88ceZPn06AwYMoH79+syYMYMdO3awcOFC6tWrx4YNG7j//vsZNGgQ9erV48iRI8ycOZOcnBy++OIL3zTRzMxMhgwZQlxcHB988AEWi4W3336bf/7zn7z22mv07du3TJ7LpXytih1OLBdPww3kfPTaEJGq6lBWGv9Nmcm6Az8DYLfaGN1qKEPi+xFksfq5OqkIgoMcPNjjTp5b/jo/HdrMuz/OxmN6uK75Nf4uTSoJt9dDem7JexFznLkkb1mEy+su8ni+x0nylkVcHZdAqC2kxPetHhJ9yd/3EhISeOyxxwAYOXIkPXr0YMqUKTzxxBOMHj0agC5dujB48GCSkpK46667iI+PZ8GCBYW2Kbv++usZPHgws2fP5q677gIgMjKSJ598kjvuuIN33nmHPn36MHXqVIYPH15mAfZSKcSWIdM0mbkxmeQti7EYBvkeJw6rnbdTPmFY8/6MaT1MQ6SqKL02RKSqcnvcJG9dzOxN83B5CvadT6jTmvEdxxIbVsPP1UlF4wiy85cef+L57/7DugM/88H6ubi9Hka0HOzv0iTAub0eJn35OIey0sr0vi6vm78seOqirqkVHsOLgx+7pCB7KqgCOBwO4uPjSUlJYfjw4b72xo0bExkZyb59+wCw208vlOfxeMjMzCQ0NJRGjRqxadOmQvfv1asXI0aMYOrUqXz22WdERUXxyCOPlLresqYQW4Zmbkzmi61f4fK6fG2nhh58sfUrgHIdbiAVh14bIlIVbU7bxhtrPmZf5gGgoPfh9wk30OmK9nrjTs7LbrXxQLc/8ML3b7B2/wZmbPgcr+llVKsh/i5NpMKoU6dOoc8jIiKoWbMmNpvtnPbMzEygYF7re++9x0cffcS+ffvweDy+86Kjo895jIcffpivv/6arVu38vrrrxMZGXkZnknpKMSWkSxnNslbFhcKKWfK98e3QsgAACAASURBVDhJ2ryQWuE1CQkKBsBiFHTlG4aBARiGhYIf6QYWwwAMDAMMDN85+D4++5hxxr2MIu959vm+e559DQYYBhYMOPuak+dbTp5jnPmYJ88/fazw8aLuWRWU5LWRvGUxw+L7E2YPLefqRETKXmZ+Fh+sn8PSXSuAgp8D1zbryw2thxJiC/ZzdRIIbFYbf+56B1NXvMXqX3/kk43/w+31aOSSlFqQxcqLgx+7qOHE36X+wKeb5uH0FP07HBS86TKy5bV0a3BVie9bFsOJrdZzry+qDfAtPvX666/z0ksvMXLkSO677z6ioqKwWCw8/fTTRS5QtXHjRo4fL1i/YNu2bfTp0+eSai5LCrFlZOXedSeD5/l5TA+vrX6/nCoKDEZJg/JZobvoY6dCtOX0PblAiC4myJ95z7PrM4xTIfysIF9ws9NvQgBHczPwmEXPpTjFxMv7P35Kp3rtCbWFFPyxF/w/OMjhe8NDRKQiM02TpbtW8MH6OZxwZgPQpHoD7kj8LY2qxfm5Ogk0QdYgJnadwL9X/peVe1OYs+lLPF4P49oOV5CVUgmyWC9qGsOApj2Y/fO8C55jmnBN054B0RGxYMECOnfuzNNPP12oPTMzk2rVqhVqy8rK4uGHH6ZVq1Y0adKEadOm0bdvX5o2bVqeJZ+XQmwZycjLLHLVsrPZrXbsVhsmJpgmXkwK/jMxAdP0YgKYhT83Mct9Ce/yYJ7x/Kl8T6/E3F4PX+/6nq93nbvJu4FBiC2YsDPCbcjJj31tvmPBhNlCC7fZgnEEOfQDX0Quq33HD/DG2o/ZnLYNgBBbMOPaDGdAkx6FFhERuRhBFiv3XT2eIMPK8j0/kLRlIR6vh5vaj9TPNbnswu1hDGvev9jViQMhwEJBT+3ZeeLLL7/k0KFD56wQ/M9//pMjR44wffp0ateuzapVq5g8eTIzZsw4b49veVKILSPRwZE4rPYLBlmH1c4tHUbTv0n3S3os0zR9ofZ04D39+emPzwjIp845eb73ZIg2z7zfyfNPHyt8/JzQ7XtcTj7qGaH75D8Qr+kFij7fa5pnXFeSY2aR9zLxnq7hrNoKajh5r0LXmGc8ThF/p2fWUMQ9zz7/9LGzz4fUjL1sPPQLHvP0vIOzGRgEBznwmJ5zhqyYmOS4cslx5V7sS8XHYlh8gbZw6D0rBNtCCCuqzRaCzWrTLwwico58t5M5m77k862L8HgLvs91rZ/ILe1HUS0kys/VSWVgtVi5u/OtWCwWvtm9iv/98hVu08PvO9ygn0ty2Y1pPQzAtzin0+PEbrXjNU2GxPfzHQ8EvXv35pVXXmHy5Ml06NCBX375heTkZOLiCo+U+fbbb5k1axZ//vOfadasYP/mJ598kgkTJvDWW29xxx13+KP8QhRiy8jVcR14O+WTC57jNU26xCVc8mOdOcxVKr4sZzZ/SJp8wRAbZAni1WFPEWYPxe1x+0Lr6T95ZDtzCn2e48ol25VDriuXHGee71i2Kxf3WUvBe00vWc5ssk4O7ysNq8VaqHe3INyGnv7cF35DC4dl++keY5vVVvwDiUjA+PHAz7y59mMOZx8FClbcvC1hLO3rtPRzZVLZWCwW7rzqZqyGlSW7vmf+tqV4vB5u6zhWU27ksjIMg7FtrmNofL9C2yR2iUsImB7YU/74xz+Sm5tLcnIy8+bNo2XLlvznP//h+eef951z4sQJ/vrXv9KmTRtuu+02X3uPHj244YYbmDZtGv369aNJE//u7W2YAThGNTExEYA1a9b4uZLCKtpmyFJxlPdrw+lxnQ68zrMD8cmwW1T7GW2ek73oZclmCbpgL3CoLZgwe+g5YTn0jLbKup+k9hCWQJKem8E762axcm8KUPAm1/XNr2FEi0HYg+zFXC1Sel7Ty5trZ7B4x7cA9G3cjTsSxynIik9qairAOcNjpeK5lK+VemLLUGUabiBlq7xfG3arDbvVRnRw6ZZCN03TF4SzXTknw23eGYH3ZK/wWT3AZ4fis98jc3ndHM8/wfH8E5f03E73AgcXM0f43PYQWzDWChSEtYewBBKv18uC7cuYseFzct15ALSMacbtieO4IrK2n6uTqsBiWLi9441YDQsLti/j653f4fF6+NNVN2nutUgVop7Yy+DsHpVAHG4gl0dVem2YpkmeO/+ie4DPHCqd58r3zUMuS44gx1mB9+we39PDoQt6hgvPJQ6xBZfZu/4awSGBYmd6KtPXfMTOY3sAiHCEc3O7kfRs2FlvtEi5M02Td3+czbxfvgage4NO3NXp5gr1JqX4h3piA4d6YiuYcHvYJS/eJJVTVXptGEbBqsohtmBqUK34C4rgNb3kufLP6O3NKQi5Z4TeM3uAc08G4jPb8tz559w3351Pvjv/ovaKK/TcMAi2OYpcAKvwUOngk3OEz/jcXtCLHBzkINuVoz2EpcLLceUyc0My87cv9Y2u6Nu4G79tO5wIR7ifq5OqyjAMbmk/iiCLlc+3LGJ56mq8Xg93X/37SjvtREROU4gVkQrLYlgKAqE9pNT38Hq95LiLmhtc9GJZOUUMnz67l9TEJNeVR64rj6McK1VdhmFgswSdN8CeYjEMVuxNqTJvfkjFYZomK/el8E7KLI7lFWx2HxdZh9sTx9E8pmLsEyhVm2EY/Lbtb7AaVuZuns/3e9fiMb0FW/JY9SuuSGWm4cQiIsVwez3FLpR1dg/w2ee7zlox+mLYrTbioupSKzyG2uE1qRUWQ+2IGGqFx1AtOEpDOaXMHcpK478pM1l34Geg4DU4qtUQhsb3Vy+XVDimaTLr5y+Y/fMXACRe0Y5JXW7TivhVlIYTBw4NJxYRuYyCLFYiHeFEXsLQSZdvxejTPcAr961j6a4V52yJdDanx8WO9FR2pKeec8xutVErrCa1wmNOhtwYX9itGVZDgUMuitvjJnnrYmZvmofr5J7VCXVaM77jWGLDavi5OpGiGYbBDa2HYjUszNyYzJpf1/P8d9O5v9sd2BVkRSolhVgRkXJgs9qIstqIOmPF6MbV67Ns18oLXhdkCeK2hDEcy8vkUFbayT9HfMM7nR4XezMPsDfzwDnXWgwLNUOrnRVuY6gVXhB6g4McZfskJaBtTtvGG2s+Zt/J11L1kGh+n3ADna5or95+CQgjW12L1WLlo58+I+XARp5b/jr/1+0P2vapirFYLDidTkzT1PeuCsw0TdxuN3Z76f59ajixiIgflXZ14ny3k0NZaRw8GWoPZaVxKDuNg1lHSMs+ircE+/xGBUf6Qm3t8BhqhZ3+OMIRrh/+VURmfhYfrJ/D0l0rgIJercHN+jCm9TBCbMF+rk7k4v1v62Le+/FTANrUas5fuv8Jh4JslXHs2DEOHjxIjRo1qFmzprZeqoC8Xi9Hjhzh6NGj1K5dm2rVLn4BUIVYERE/Onuf2DP3EC7tPrFur4cjOem+ntuDp0Luyf8XFZjPFmILpnZYzMlhyjVPz8cNj6FGSDX9UlAJmKbJst0ref/HTznhzAagSbUG3J44jsbV6/u5OpFLM++Xr3ln3SwAWsVeyYPd/0Sw3pSpErxeLwcOHCAzMxOLxYLNZsNq1dSaisLj8eByufB6vURGRlKnTp1S/U6hECsiUgGU1x7CpmmScXJocqFe3Kw0DmYf4UR+VrH3CLIEERtWwxdwTw1VrhVek9iwmpqDFgD2HT/AG2s/ZnPaNqDgTYsb21zPNU166g0KqTQWbl/Gm2tnANC8ZhMm97xbowuqkOzsbDIzM3G73Xi9xY9OkvJhsVgICgoiKiqK0NDS/56jECsiIj45ztyCcJtdEHAP+npz00jPycDkwj8yDAyqh0afHJ5ceMGp2uExl7Rdkly6fLeTOZu+5POti/B4PQB0jevILR1GUy0kys/ViZS9xTuW88aajzAxubJGYx7uebe+D4lUAgqxIiJSIk6Pi7Tso4V6cU+F3MPZR4tdZRkgwh521hDl04tORQdHah7uZfTjgZ95c+3HHM4+CkCtsJrc1vFG2tdp6efKRC6vpbtW8Nrq9zExaVq9IY/0uueyjHQRkfKjECsiIpfM6/WSnpvhC7WHso9w8MSpYcpp5Lryir2Hw2on9lS4Davp2wu3VngMNUOra7ugUkrPzeDddbNZsXctAFaLleubX8OIFoO0aqtUGd/sXsUrq9/FNE0aVYvjb73uI9wR5u+yRKSUFGJFROSyMk2TE87sMxaaKjwfNyMvs9h7WAwLMaHVC20XdGo+bmx4TW0XVASv18uC7cuYseFzct0FbyK0jGnGhMQbqRdZx8/ViZS/7/b8wLSV7+A1vTSIrsffet93Sft/i4j/KMSKiIhf5bnzOXxyaPLBM/bCPZSVRlpOeom2C4oOjjxrP9zT83Ej7GFVbpjyzvRUpq/5iJ3H9gAQ4QjnpnYj6NXw6ir3dyFyppV7U3hpxVt4TC/1o67gb73vLbR/t4gEBoVYERGpsE5tF3RqaPKpVZRPfez0uIq9R4gt+Ixwe3rBqdrhMVQPjcZiVJ7VeHNcuczckMz87Us59eO9b+Nu/LbtcCLU4yQCwOp9P/LiijfxeD3Ui6zDo73vI1oLm4kEFIVYEREJSKe2CzqYdbjQIlOnenFP7X16IUGWoJOhtuY5WwbFhtXAFiDbBZmmyap963h73Sccyz0OQFxkHW5PHEfzmKZ+rk6k4lm7fwPPfzcdt9dN3YhaPNpnItVDov1dloiUkEKsiIhUStnOnJNzcE/33J5acCo9t2TbBdUIrVZoJeVa4TWpFVaxtgs6nHWEt1JmsO7AzwDYrTZGtRrC0Cv7EWQN8nN1IhXXjwd+5rnlr+PyuqkdHsOjfSZSM7S6v8sSkRJQiBURkSrH6XFxOPuIr9f29JZBhzmcfdS3h+qFRDjCqX3GXrgFvbix1A6vSVQZbheU5cxm5d51ZORlEh0cydVxHQi3h+H2uEneuphPN83zDavuUKc1tyWMITa8Zpk8tkhl99PBzTyz/DVcHhexYTV4rM8kYsJq+LssESmGQqyIiMgZvF4vR3OPFerFPXOo8qmVfi/EEeQoNEy59hk9uTVDq2MtwXZBpmkyc2MyyVsWYzEM8j1OHFY7XtOkS/0EdhxN5dcTBwGoFhLF7zvcQOd6HbRwk8hF2nhoK898+yr5HicxodV5tM9EaoXH+LssEbkAhVgREZESMk2TE/lZhXpufb252Uc4XoLtgqyGhZphNQpWUA6LOb0f7sleXcfJvVtnbPicL7Z+Rb7Hed57GYbB4Ka9GdPmOkJswWX2PEWqmk2Ht/GPb18h351PjZBqPNZnIrUjYv1dloich0KsiIhIGclz5XHo5DDlg1mHC83HTctJpyQ/cqsFR1EztBo7jqXivcD5BgaP9p5Iq1pXluVTEKmyth7ZwdPLXibXnUe1kCge6z2RupG1/V2WiBRBIVZERKQcuL0ejmQf5eBZPbinFpwqyXZBZ3JY7dzSYTT9m3S/TBWLVD3bju7iqWXTyHHlEh0cyaO9J1Ivqo6/yxKRsyjEioiI+JnX9BZsF3RyP9ylu1ewOW37Ba8xgNGthzGq1bXlU6RIFbEjPZUnl/2bbGcOkY5wHu09kfrRV/i7LBE5Q+XZ4V1ERCRAWQwL1UOiaRnbjD6Nu9KjQWccVvsFr7Fb7UQHR5ZThSJVR5PqDXi090Qi7GFk5mfx+JIX2X1sn7/LEpEzKMSKiIhUMFfHdbjgfFigYJXiuIRyqkikamlULY5H+0wkwhHOCWc2f186lZ3pe/xdloicpBArIiJSwYTbwxjWvP95e2MdVjvDmvcnzB5azpWJVB0Nousxpc8kooIjyXJm88TSqWw/utvfZYkICrEiIiIV0pjWwxgS3w+bxYbDasegILzaLDaGxPdjTOth/i5RpNKLi6rLlD6TqBYcRbYrlyeWvcQvR3b6uyyRKk8LO4mIiFRgWc5sVu5dR0ZeJtHBkXSJS1APrEg5O3DiMI8veZH03AyCgxw83PNumsc09XdZIlWWQqyIiIiISDEOZqXx9yVTOZKTjiPIweQed9IyVvs0i/iDhhOLiIiIiBSjdngMU/reT0xYDfLd+Tz9zctsOLTF32WJVEkKsSIiIiIiJRAbVoPH+9xPrfAYnB4X//z2VX48sMnfZYlUOQqxIiIiIiIlVDOsOo/3uZ86EbG4PC6eXf4aKfs3+rsskSpFIVZERERE5CJUD41mSp/7uSKyNm6vm+e+e501v673d1kiVYZCrIiIiIjIRaoWEsVjfSYRF1UXj9fD899NZ9W+df4uS6RKUIgVERERESmF6OBIHus9kQZRV+Axvbz4/Zt8v2etv8sSqfQUYkVERERESikyOIJH+0ykUXQcXtPLSyvfYnnqan+XJVKpKcSKiIiIiFyCCEc4f+tzH02qN8A0Taateoelu1b4uyyRSkshVkRERETkEoXbw/hbr/toVqMRpmny2ur3+Xrnd/4uS6RSUogVERERESkDofYQHul1D/E1m2Bi8voPH7Bw+zf+Lkuk0lGIFREREREpI6G2EB7peTctY5oB8Obaj5m/bal/ixKpZEoUYp1OJ8899xzdu3enbdu23HDDDaxYUfJx/snJyYwaNYr27dvTqVMnfve73/HTTz+VumgRERERkYoq2BbMQz3vonVsPAD/TZnJ/7Z+5eeqRCqPEoXYhx56iHfffZfrrruORx55BIvFwu233866dcXvhfXiiy/y0EMP0axZMx555BHuuusu4uLiSEtLu+TiRUREREQqouAgBw/1uJN2tVsA8N6Ps0navNDPVYlUDoZpmuaFTvjpp58YPXo0kydP5tZbbwUgPz+foUOHEhsby4cffnjea1NSUhg3bhzTpk1jwIABZVZ0YmIiAGvWrCmze4qIiIiIlDWnx8Xz301n3YGNAIxtcx0jWg72c1Uiga3Yntj58+djs9kYPXq0r83hcDBq1CjWrl3L4cOHz3vte++9R5s2bRgwYABer5fs7OyyqVpEREREJADYrTYe6HYHiXXbAjBjw+fM2vg/iulHEpELKDbEbt68mUaNGhEWFlaovW3btpimyebNm8977YoVK2jTpg0vvPACHTt2JCEhgb59+/L5559feuUiIiIiIgHAZrVxf9fb6VSvPQCzfv6CmRs/V5AVKaWg4k5IS0ujVq1a57THxMQAnLcn9vjx42RkZPDFF19gtVp54IEHiI6O5sMPP+T//u//CAkJKdMhxiIiIiIiFVWQNYiJXSbw75X/ZeXeFOZsmo/b6+W3bYdjGIa/yxMJKMWG2Ly8PGw22zntDocDKJgfW5ScnBwAMjIy+OSTT2jXrh0AAwYMYMCAAbzyyisKsSIiIiJSZQRZrNx39XiCDCvL9/zA51sW4vF6uLn9SAVZkYtQ7HDi4OBgXC7XOe2nwuupMHu2U+316tXzBVgAu93OwIED2bJli+bIioiIiEiVYrVYubvzrfRs2BmAL375irfXfaKhxSIXodgQGxMTU+SQ4VNb5MTGxhZ5XXR0NHa7nZo1a55zrGbNmpimSVZW1sXWKyIiIiIS0CwWC3dedTN9GnUFYP62pby59mO8ptfPlYkEhmJDbPPmzdm1a9c5vabr16/3HS/yxhYLLVq04NChQ+ccO3jwIFarlaioqNLULCIiIiIS0CwWC3+46rf0b9IDgEU7vmX6mo8UZEVKoNgQO2jQIFwuF7NmzfK1OZ1O5syZQ0JCgm/Rp/3797Njx45zrj1w4ADfffedry0rK4svv/ySDh06EBwcXFbPQ0REREQkoFgMC7d3vJGBTXsB8PXO73ht9ft4vQqyIhdS7MJO7dq1Y9CgQfzrX/8iLS2N+vXrM3fuXPbv388//vEP33kPPvggq1evZuvWrb62G2+8kVmzZnHPPfdw6623EhkZyaeffsqJEye4//77L88zEhEREREJEIZhMD5hDFaLlXm/fM2y3SvxmF7u6nQzVovV3+WJVEjFhliAZ599lqlTp5KUlMTx48eJj49n+vTpdOzY8YLXhYSE8N577/Hss8/ywQcfkJeXR6tWrXj77beLvVZEREREpCowDINb2o8iyGLl8y2LWJ66Gq/Xw91X/54gBVmRcxhmAC6FlpiYCMCaNWv8XImIiIiISNkwTZMZGz5n7ub5AHSu16FgSx5rifqdRKqMYufEioiIiIjI5WcYBmPbXMeoVkMAWLVvHS+seBOX59ztLkWqMoVYEREREZEKwjAMbmg9lDGthwGw5tf1PP/ddJwKsiI+CrEiIiIiIhXMyFbXMq7tcABSDmzkueWv43Q7/VyVSMWgECsiIiIiUgENbzGQm9uPBGD9wU08s/w18hVkRRRiRUREREQqqqHx/bm1w2gANhzawj+/fYU8V56fqxLxL4VYEREREZEK7Nor+zKh41gAfj78C09/8zK5CrJShSnEioiIiIhUcNc07cUdib/FwGDLkR08tWwaOc5cf5cl4hcKsSIiIiIiAaB/k+78qdNNGBj8cnQnTy77N9nOHH+XJVLuFGJFRERERAJE70ZduKvzLRiGwfb03fx96VSy8rP9XZZIuVKIFREREREJID0bdubeq3+PxbCw69heHl86lcz8LH+XJVJuFGJFRERERAJMt/pXMbHLbVgNC6kZ+/j7kqkcz8v0d1ki5UIhVkREREQkAF0dl8CkrrdjtVjZc/xXHl8ylYzc4/4uS+SyU4gVEREREQlQneq154FufyDIEsS+zANMWfIi6bkZZDmzWbxjObN/nsfiHcvJcmrerFQehmmapr+LuFiJiYkArFmzxs+ViIiIiIj4348Hfua55a/j8roJs4Xi9DixGBbyPU4cVjte02RY8/6MaT0MwzD8Xa7IJVFPrIiIiIhIgGtfpxUP9rgTi2Eh25WDy+sm3+MEIN/jxOV18cXWr5i5MdnPlYpcOoVYEREREZFKoHH1+lgu0Mua73GSvGWx9paVgKcQKyIiIiJSCazcuw6rYb3gORbDYMXelHKqSOTyUIgVEREREakEMvIyfUOIzyff4yRDW/FIgFOIFRERERGpBKKDI3FY7cWet+HQZg5nHSmHikQuD4VYEREREZFK4Oq4DnhLsPHI5rTt3DvvMV5e9Q6/Zh4sh8pEypZCrIiIiIhIJRBuD2NY8/7n7Y21W+20rdWCGiHV8Jpevtm9ivu//DsvfPcGu47tLedqRUovyN8FiIiIiIhI2RjTehgAyVsWYzEMnB4n9pP7xA6N78eY1sPweD18k7qKzzYv4GBWGiv3pbByXwod6rRmRMtBxNds4udnIXJhhmmWYMxBBZOYmAjAmjVr/FyJiIiIiEjFk+XMZuXedWTkZRIdHEmXuATC7KGFzvF4PazYm8LczfPZe3y/r71V7JX8psUg2tRqjnGBLXtE/EUhVkRERESkCvOaXtbu38CcTV+yIz3V1960ekNGtBxEQt02WAzNQpSKQyFWREREREQwTZMNh7YwZ9OXbErb5muvH3UFv2k5kC71OmKxKMyK/ynEioiIiIhIIVvSdjB385esO/Czr61OeCzXtxhIzwadCLJqaR3xH4VYEREREREp0s70PczdPJ/V+37EpCA21AitxnXxA+jXuBv2oOL3pRUpawqxIiIiIiJyQfsyD/DZpgUs3/MDXtMLQJQjgiHx/bimaU9CbSF+rlCqEoVYEREREREpkUNZaSRtWcTSXStwe90AhNlCGHxlHwY360OEI9zPFUpVoBArIiIiIiIXJT0ng+Sti1m841vyPU4AHEEOrmnSg2Hx/YkOifJzhVKZKcSKiIiIiEipZOZnMe+Xr5i/bRk5rlwAbJYg+jTuyvXNryEmrIafK5TKSCFWREREREQuSY4zlwXbl/G/X77iRH4WAFbDQo8GnRne4hrqRtb2c4VSmSjEioiIiIhImch3O/lq53I+37KI9NwMAAwMro5L4DctBtGwWj0/VyiVgUKsiIiIiIiUKZfHxbLdq0javIBD2Ud87Ql12zCixSCurNnYj9VJoFOIFRERERGRy8Lj9fD9nrXM3TyffZkHfO2tY+MZ0XIQrWLjMQzDjxVKIFKIFRERERGRy8prevnh1/XM2fQlu47t9bU3q9GIES0Hk1CntcKslJhCrIiIiIiIlAvTNFl/cBNzNn3JliM7fO0NouvxmxaDuLpeBywWix8rlECgECsiIiIiIuVuc9o25myaz/qDm3xtdSJi+U2LQXRv0Ikgi9WP1UlFphArIiIiIiJ+syM9lbmb5rP61x99bTGh1bmu+TX0adwVu9Xmx+qkIlKIFRERERERv9t7fD9zNy/guz0/cCqiRAdHMjS+P9c06UGwLdjPFUpFoRArIiIiIiIVxsGsNJI2L2Tp7hV4vB4Awu1hXHtlHwY16024PczPFYq/KcSKiIiIiEiFczTnGMlbFrF453KcHhcAIUHBXNO0J0Pi+xEdHOnnCsVfFGJFRERERKTCOp6XyRe/fM2C7cvIdeUBYLPa6NeoG9c1H0DNsOp+rlDKm0KsiIiIiIhUeNnOHOZvW8q8X77mhDMbAKvFSs8GnRneYiB1ImL9XKGUF4VYEREREREJGHmuPBbvXE7ylsUcyzsOgGEYdInryIgWg6gffYWfK5TLTSFWREREREQCjtPjYumuFSRtWUha9lFfe2LdtoxoOZimNRr6rzi5rBRiRURERET+v717j46qPNQ//uy55gYEJIncRTQJIiAXRawtqFSCFRUO1NbWy6p6eqQXf/ScVXWp5/R4aumyrIqX9qyjRy1Sq5WagJwq4pW2FrlpiUhAiahAgIxAEhKSmcnM/v2RzGQmmcnkMslkJ9/PWq4k737fvd8dXifzzPvuvWFZjcGA3v18u9aVvabDp46GyyfnFWrxeQt0Xs65MgwjhT1EshFiAQAAAFheMBjUtsP/UPGeV/VZ1aFwecEZZ2vReQs0bcQkwmw/QYgFAAAA0G+YpqkPjnykkj2vat/xT8Pl47PHaNF5Rbpo9AWyGbYU9hDd7voiTgAAIABJREFU1aEQ6/P59Mgjj2j9+vWqqalRYWGhli9frtmzZ7fb7rHHHtPjjz/epnz48OF69913u9xpQiwAAACA9pimqT2eT1S851V9eGxvuHzUoDN13cT5+sq4C+Ww2VPYQ3SVoyOV7r77bm3atEk33XSTxo0bp5KSEt1+++1as2aNpk2blrD9Aw88oLS0tPDPkd8DAAAAQLIZhqFJufmalJuv/cc/U/GeV7WjolSHTx3Vb7at1osf/Z+uLbxSc8fPlsvuTHV30QkJZ2JLS0u1dOlS3XPPPbrlllskSV6vV1dffbVyc3P13HPPxW0bmondvn27Bg8enLROMxMLAAAAoLO+qDqs4rKN2nJwp0IxaGjaEC0snKd5E76qNIc7xT1ERyRcDL5x40Y5nU4tXbo0XOZ2u7VkyRLt3LlTlZWVCQ9imqZqa2tlwctvAQAAAPQTY7NH6f/NvlWrFvxMl42/RHbDppMN1Xr2Hy/pBxvu1UsfvaI63+lUdxMJJAyxZWVlGj9+vDIzM6PKp0yZItM0VVZWlvAgc+fO1YwZMzRjxgzdc889qqqq6nqPAQAAAKAbRgzK1R0X3ajHvvFfKjp3rpx2p0756vTH3Ru07P/u1R9K16mm4VSqu4k4El4T6/F4lJeX16Y8JydHktqdiR08eLBuvPFGTZ06VU6nU++9957++Mc/as+ePVq7dq1cLlc3ug4AAAAAXTc8c5i+N/16LT5vgf687029tn+z6v0NWlf2ml75+C3NO/tSLSz8us7IGJrqriJCwhDb0NAgp7Pthc5ud9N6ca/XG7ftzTffHPVzUVGRzj33XD3wwANat26dvvnNb3a2vwAAAACQVNlpg/WdqYt07cQrtfGTd/TKx2+r1lenVz55W6+V/0Vzz5qtaydeqTOzclLdVagDy4nT0tLk9/vblIfCayjMdtS3v/1tpaena8uWLZ1qBwAAAAA9KcuVqSWTvqHfXP1zfXfqYmWnDVYgGNCbn/5Nd77yH3r0vWd0sLoi1d0c8BLOxObk5MRcMuzxeCRJubm5nTqgzWZTXl6eqqurO9UOAAAAAHpDujNN1xR+XUXnztXbn/5d6/du0penT+hvn2/T3z7fpotGXaDF5xXp7GHjUt3VASnhTGxhYaEOHDigurq6qPJdu3aFt3eG3+/XkSNHNHQo68oBAAAA9F0uu1Pzz52jR7/xgO648EaNGNQ0gbft8D909+u/1IObH1OZ55MU93LgSRhii4qK5Pf7tXbt2nCZz+dTcXGxpk+fHr7pU0VFhcrLy6Panjhxos3+nnrqKXm9Xn31q1/tbt8BAAAAoMc5bHZddvYlerjoP/T/Zt+mcUNGSZJ2Hd2j/3jr1/r3N1fqH0c+4pGivcQwO/CbvvPOO/Xmm2/q5ptv1tixY1VSUqLdu3dr9erVmjFjhiTpxhtv1LZt27Rv375wu6lTp+qqq65Sfn6+XC6Xtm7dqtdee00zZszQs88+K4cj4WrmmGbOnClJ2rFjR5faAwAAAEBXmaap94/sVvGeV/XJ8QPh8rOHjtWi84p04aipshkJ5wvRRR0KsV6vV6tWrdKGDRtUXV2tgoIC/eQnP9Ell1wSrhMrxN533316//33deTIEfn9fo0aNUpXXXWVvv/97ystLa3LnSbEAgAAAEg10zT1UeU+Fe/ZqN2VLTlo9OARum7ifH1l7EzZbfYU9rB/6lCI7WsIsQAAAAD6ko+//FTFZRv1fsWH4bK8zOG6duKVmnPWxXLa2z62FF1DiAUAAACAJPns5CGVlG3Uewffl6mmqDUsPVsLC+bpigmXKs3RuUeUoi1CLAAAAAAkWUXNUa0r26S/fr5VATMoSRrkztI38i9X0TlzleFKT3EPrYsQCwAAAAA9xFN3XOv3btLbn/5d/mCjJCnDma6ic+foqvwrNNidleIeWg8hFgAAAAB62Mn6av3fvje0qfyv8jZ6JUluu0vzJnxVCwvnaVh6dop7aB2EWAAAAADoJae8tXr1k7f16sdvq85fL0ly2ByaO362riu8UrlZw1Pcw76PEAsAAAAAvey0v16b9v9Ff973pqq9pyRJNsOmS8deqOvOm6/Rg0ekuId9FyEWAAAAAFLE1+jTm5++q5f3vq7j9SclSYYMXTT6Ai2aWKSzh41NcQ/7HkIsAAAAAKRYY6BRf/l8q9aVvaajtZ5w+bQRk7Ro4gIV5kxIYe/6FkIsAAAAAPQRgWBAWw6+r5KyjTpYXREuPy/nXC0+b4Em5xXKMIwU9jD1CLEAAAAA0McEzaB2Vnyo4j2vqvzE5+HyCcPGafF5CzRj5GTZDFsKe5g6hFgAAAAA6KNM09SHx/aqeM+r2uP5JFw+ZshILZpYpEvGzJDNNrDCLCEWAAAAACxgr6dcJWWv6oMjH4XLzszK0XUT5+tr42bJYXeksHe9hxALAAAAABZy4ORBlezZqK2HPpCppjh3RvpQLSycpyvOvlRuhyvFPexZhFgAAAAAsKBDNUe0ruw1/e3z7QqaQUnSEPcgfaPgCl15zteU4UxPcQ97BiEWAAAAACyssvZLrd+7SW8f2KLGYKMkKdOZrqJzL9NV+ZdpkDsrXLfWV6f3Dn6gqoYaZacN1sVjpinLlZmqrncJIRYAAAAA+oET9VX6v71v6PXyv8ob8EmS3A63vj7hq7o6/wptKv+LNux9QzbDkDfgk9vuUtA0tbBwnq4/f6FlHt1DiAUAAACAfqTGW6tXPn5LGz95R6f99ZIkmwzJMMLLjiO57S59o+AKfWvyNb3d1S4ZWPdiBgAAAIB+brA7S9+afI1+e/WD+vbka5XlylRQZswAK0negE8b9r6hOt/pXu5p1xBiAQAAAKAfynCla9F5Rfrm+VfLYbO3W9dmGNpy8P1e6ln3EGIBAAAAoB+r9Z1WYzDQbh1fwKeqhppe6lH3EGIBAAAAoB/LThsst739Z8e67C5lpw3upR51DyEWAAAAAPqxi8dMUzDB/XyDpqnZY6b3Uo+6hxALAAAAAP1YlitTCwvnxZ2NddtdWlg4T5mujF7uWdc4Ut0BAAAAAEDPuv78hZIUfk6sL+CTq/k5sd8ouCK83Qp4TiwAAAAADBC1vjq9d/ADVTXUKDttsGaPmW6ZGdgQZmIBAAAAYIDIcmVq3oRLU92NbuGaWAAAAACAZRBiAQAAAACWQYgFAAAAAFgGIRYAAAAAYBmEWAAAAACAZRBiAQAAAACWQYgFAAAAAFgGIRYAAAAAYBmEWAAAAACAZRBiAQAAAACWQYgFAAAAAFgGIRYAAAAAYBmEWAAAAACAZRBiAQAAAACWQYgFAAAAAFgGIRYAAAAAYBmEWAAAAACAZRBiAQAAAACWQYgFAAAAAFgGIRYAAAAAYBmEWAAAAACAZRBiAQAAAACWQYgFAAAAAFgGIRYAAAAAYBkdCrE+n0+/+tWvdOmll2rKlCn65je/qS1btnT6YLfffrsKCgr04IMPdrotAAAAAAAdCrF33323Vq9erWuuuUb33nuvbDabbr/9dn3wwQcdPtA777yjHTt2dLmjAAAAAAAkDLGlpaX685//rH/7t3/TT3/6U11//fVavXq1RowYoZUrV3boID6fTytWrNCtt97a7Q4DAAAAAAauhCF248aNcjqdWrp0abjM7XZryZIl2rlzpyorKxMe5Nlnn1VDQwMhFgAAAADQLQlDbFlZmcaPH6/MzMyo8ilTpsg0TZWVlbXb3uPx6Le//a2WL1+u9PT07vUWAAAAADCgJQyxHo9Hubm5bcpzcnIkKeFM7K9//WuNHz9e1157bRe7CAAAAABAE0eiCg0NDXI6nW3K3W63JMnr9cZtW1paqnXr1mnNmjUyDKMb3QQAAAAAoAMzsWlpafL7/W3KQ+E1FGZbM01TDz74oK688krNnDmzm90EAAAAAKADM7E5OTkxlwx7PB5JirnUWJJef/11lZaWavny5Tp06FDUttraWh06dEjDhw9XWlpaV/oNAAAAABiAEobYwsJCrVmzRnV1dVE3d9q1a1d4eywVFRUKBoO6+eab22wrLi5WcXGxnnzySX3ta1/rat8BAAAAAANMwhBbVFSkp59+WmvXrtUtt9wiqem5r8XFxZo+fbry8vIkNYXW+vp6TZgwQZJ0+eWXa/To0W3294Mf/ECXXXaZlixZokmTJiXxVAAAAAAA/V3CEDt16lQVFRVp5cqV8ng8Gjt2rEpKSlRRUaEVK1aE6911113atm2b9u3bJ0kaO3asxo4dG3OfY8aM0bx585J0CgAAAACAgSJhiJWkhx56SKtWrdL69etVXV2tgoICPfHEE5oxY0ZP9w8AAAAAgDDDNE0z1Z3orNDdjnfs2JHingAAAAAAelPCR+wAAAAAANBXEGIBAAAAAJbRoWtiAQAA0PfUnvbp3dIKnTzl1dBBbn1lykhlZbhS3S0A6FGEWAAAAIsxTVPPbdyrknf2y7AZ8voCcrvseqLkQy2ae46+U1QowzBS3U0A6BGEWAAAAIt5buNerdtcLl9jMFzm9QUkSes2l0uSvrtgYkr6BgA9jRALAEAfxnJRtFZ72qeSd/ZHBdhIXn9AJe/s13Vzz1FWurOXewcAPY8Q2wN4w4F4GBuIh7GB1lgu2jeZpqlg0FQgaKoxEFQwaKoxYCoQDCoQMNXY/DV6e1CBoKlAIKjGgBmzLBBs2UcgGIzaZ3S9oD6rqFEg2P4TEg3D0N/+cVhFs8/qnV8MAPQinhObRPHecJhBkzccAxxjA/EwNhDP718t07rN5fL6A222uZ12XTdnQp9dLhoKeYHmoNYS2JqDWagsMvy1qhMd4kIBsWWfLfuOPk6w1fEag0EF2wuXUcdrDotBU8Hmr5HHCTbXswq7zdCZZ2QoZ2iGcrLTlTssQ7lD05WTnaGcoekanp0uh50HVQCwHmZik4jrUxAPYwPxMDb6H9M0ZZpSsHnGruVrU7gzo8pj1TNVe9qnl97er8ZA/OWiL739iUbkZMplt0cEtPZn8AKtglrbkBkR/mKVRYbK1rOIEfUTTBIOWDabIbvNkMNuyGazyWE3ZLfZZLcbcthssjVvs9ttzfVil1WePK0DFTUKJvhFB4KmDnvqdNhTF3O7YUjDBqcptznk5gxtCro52elNZUPTlZHGcmQAfQ8hNkk6cn1K8Tv7tWD2Wcrs7etT+sgkTl+YTUpFD2pP+1T8zn75E4yNhV89W5npzpY+Rvy+jFZFfeF3ie7r6evaTLMlOAVNU2ZEUAoE4wUtszloKWZ5OHSF68UPYmZQCoTbNddtFegi9xMItQttaycABmL1M+JYkfsJJAiOZpxzC+0/EHWusc/BbFXeGxoDplY9/0HvHKwXRQY2ezjoRZTZ25Y5IrY1fW0KhfaIkBiuF1HH3iZIRh+npU2M40Xs0xbZh+Z92qLqNW2z2ZLz2l172qeb//M1+doZbA67Tcu/NU2nTvtUebJelSdPy1NVL8/J0zpR45UkmaZ0vLpBx6sbVBZnP5npTuUOTY8IuhnKHZYeDrpDstxJOy8A6CiWEyfJa+99pifX7w7PoAC9LRxwWxUYMeqEStu0iWzXalt0bo7Tvp3g3bpNdPvoHSWrz+1+EBC5h7jnGtHeiL3NaLubNh8yRNdpOVhNnU/Hq+vV3quwIWlwlkvpbkdEQFOroNUUoAJBRQUt6726o7NcDpvS0xxtw1jkDF7kTF9UuIsRwOwdDYTRQdLRKiza7bao47QNmxH7iDiezeBDuo7qznJzf2NAX1Y1NAXbk6flOVnfKujWx10F0JrTYdPw7PQ4QTdDw7PT5XSwZBlAcjETmyQnT3kJsEipUGAxWxfErt3DvUGymJKqa32qrvWluisx2WyGbIZkM5pmmYzmrzajKbwYRnOd5m12w5DNppa64foKtwvXbf45ch82w2hVT62OZ7Tpk60D+4k8vtGqnS3mOTSdR+T52iLOLbQfuy2in63326pf9oh277x/SL9/tSxmQAlxu+y6/drzNf/is3rvHxx9xneKCiUpfD29zxeQq/l6+uvmTAhvj8XpsGvE8EyNGJ4Zc3swaKq61qvKk6dVebIp1HpC31c1fa2r90uS/I1BHfmyTke+jL9keeggd1OwDV2bOzRdORHLlnt9hRoAyyPEJsnQQW65XfZ2g6zLYdO1cybo4vNH9GLP+oa+MOGfqh5s3X1EL//l07hLRqWmsXH1V8/WReed2WZb6HfXEk5DX8yIOrG3Rf7a47WP9U8T75ixtpkxKrUN1N3tc7xjtpSGj9mB/rTbvk0HY7Rr/fuJah+9o1h1QqV7PzuhrR8dbfdGMQ67TZdOHanJ5wzvYtCKDnrRQUqtglbbINZe0GIJYc+Zd+EYrXllT7t1zKCpr0wd1Us9Ql9jGIa+u2CirpszIfrO5lNHdfuxOjaboaGD0zR0cJoKxsWuc7rB3zyDGwq6p8M/e6rqdaKmQabZ9Lp3osarEzVe7fv8ZMx9ZaY5mm4+FTGbmzs0QznNy5aHDkrj9QZAFEJsknxlykg9UfJhwnqLLzuXZ7YNMKNzsvTyXz5NWG/pFfmMjQGm9kKftu95Te19xGIzpO8vnsLYGGCyMlxaNPechMtFGRfIynClZDY+I82pcSOcGjdicMzt/sagjlfXtxt0Q/eKqGtoVN2RGn12pCbmvhx2W/jGU/GCrtNh77FzBdD3EGKThDcciIexgXgYG2hPd5aLAqnmdNh05hmZOvOM2EuWTdNUVa23ealyS7CtPNEUdD1Vp3XqdNOS5cZAUEeO1+nI8dhLlqWmFXG5QzM0vDnkNj1KqOVuy5npTq63BvoRbuyURK2f9xj5hoPnPQ5sjA3Ew9hAIrWnfUlfLgpYwekGf/hGU56I63NDN6Q6UdPQ4buBp7sdTcE2xrLl3GHpyh6UJjtLlgHLIMT2AN5wIB7GBuJhbABA5zQGgjpeHbrLcmTQDd2Eql6+dm6OFslhN3TGkJbn40YF3ebZXJeTJctAX0GIBQAAQL9jmqZq6nzhkBu+Lreq+TrdE/U6dbrjd37PznK3hNsYQTeLJctAr+GaWAAAAPQ7hmFoSJZbQ7LcOnfM0Jh1GryN4VDbslS5Plx2vLpBweY1y1W1XlXVevXJwaqY+0p32zU8OyO8bDm8fLl52fKwISxZBpKFEAsAAIABKc3t0Ji8QRqTNyjm9kAgqOM1DVEBtyXoNi1bDj1esd4b0MFjp3Tw2KmY+7LZDA0fkhYVcCODbs7QdKW5kvfWvM1lKlNGKivDlbT9A6nEcmIAAACgC0zT1KnT/vDNpkLLlkN3W/acPK3q2o4vWR6S5WoOtBnhZcuRQXdwpivhkuXWNwz0+gJyc8NA9DPMxAIAAABdYBiGBme6NDjTpXNGZ8es0+Br1JdV9W2elRu6+dTxqnoFmpcsV9f6VF3r0/5D1TH35XbZmx8flBF1fW7o2twzhqTp+U37tG5zuXzNz+GVFJ4tXre5XJL03QUTk/lrgMX0h1l6ZmIBAACAFAkETZ2obggvT44MuqHZ3Hpvx+6ybBhSonf2dpuhf/mnKcpKd8pus8npsMluM+Sw22S3N32N/D60rek/Q/bQV5tNNq7xtZT+NEtPiAUAAAD6KNM0VVvvj5jBDT1SqCXoVp3ypqRvNpshhy0i2EaGXVtLmbNVKLbbE4RnW9PXpnYR+7YZcjhsUft2hPbb6rhtw7hNDkd0MLc3fz9Q/P7VMq3bXC5vjEdPuZ12XTdngmVm6VlODAAAAPRRhmFoUIZLgzJcOnvUkJh1vP6Avqyq14tvfKy3dhxMuM90t11Oh12NgaAaA6YCgWB4SXNnBIOmfEFTili6bDU2Q9EB2GFLEMwjQ3coXDeHbkd0QG4J2KFgHhmwW9o6HNH7cbQ6dtzZ8IjtidSe9qnknf1Ry8wjef0BlbyzX9fNPccSz6knxAIAAAAW5nbaNSonS+eNH6Z3SyvC18DGrOuy69Zrztf8i8+KKjdNMxxoG4PNXyNCbmNz0G0MBNXYaKoxGGwuN8Nfm+q0fN8YCCoQLjfV2Bi9n0DresGmr/5A6303fx+MURbV3y4EcVMKNgblb5Skji3b7msMQzFnvkOz13a7TfUNjfIH2v+wwbAZenfX4TZjoy8ixAIAAAD9wFemjNQTJR+2W8cMmvrK1FFtyg3DkNPRNJtoVaZpJgzIbcJ1ZGgOtgrkEeHZ39hO+I4M+K323RgMNoX3dvbduqzz563mY0vdCeI+X0AnU7Q0vbMIsQAAAEA/kJXh0qK55yS87tEKy0W7wjCM8HJdqzJNU8GgqcYYM9fxAnKskN56lnr3p19q6+6j7YZkl8uuoYPcvXi2XUeIBQAAAPqJ7xQVSlL4DrQ+X0Cu5jvQXjdnQng7+ibDMJqXAjd96JAsc6eP1vaPXpMUP8TGm6XviwixAAAAQD9hGIa+u2CirpszIfpZoFNH9dsZWCTW32bpCbEAAABAP5OV4bLEDXrQe/rTLD3PiQUAAACAAaL2tM/ys/TMxAIAAADAANEfZumte+suAAAAAMCAQ4gFAAAAAFgGIRYAAAAAYBmEWAAAAACAZRBiAQAAAACWQYgFAAAAAFgGIRYAAAAAYBmEWAAAAACAZRBiAQAAAACWQYgFAAAAAFgGIRYAAAAAYBmEWAAAAACAZRBiAQAAAACWQYgFAAAAAFgGIRYAAAAAYBmEWAAAAACAZRBiAQAAAACW4ehIJZ/Pp0ceeUTr169XTU2NCgsLtXz5cs2ePbvddi+//LL+9Kc/qby8XNXV1crNzdWsWbP0wx/+UKNGjUrKCQAAAAAABo4Ohdi7775bmzZt0k033aRx48appKREt99+u9asWaNp06bFbbd3717l5eVpzpw5GjJkiCoqKvTiiy/qnXfe0csvv6ycnJyknQgAAAAAoP8zTNM026tQWlqqpUuX6p577tEtt9wiSfJ6vbr66quVm5ur5557rlMH/Oijj7R48WL99Kc/1a233tqlTs+cOVOStGPHji61BwAAAABYU8JrYjdu3Cin06mlS5eGy9xut5YsWaKdO3eqsrKyUwccOXKkJKmmpqaTXQUAAAAADHQJlxOXlZVp/PjxyszMjCqfMmWKTNNUWVmZcnNz291HVVWVAoGAKioq9Jvf/EaSEl5PCwAAAABAawlDrMfjUV5eXpvy0PWsHZmJnT9/vqqqqiRJ2dnZ+vd//3ddfPHFne0rAAAAAGCASxhiGxoa5HQ625S73W5JTdfHJvL444/r9OnTOnDggF5++WXV1dV1oasAAAAAgIEuYYhNS0uT3+9vUx4Kr6Ew254LL7xQkjRnzhxdccUVWrhwoTIyMvTd7363s/0FAAAAAAxgCW/slJOTE3PJsMfjkaSE18O2NmbMGE2aNEkbNmzoVDsAAAAAABKG2MLCQh04cKDNEuBdu3aFt3dWQ0ODTp061el2AAAAAICBLWGILSoqkt/v19q1a8NlPp9PxcXFmj59evimTxUVFSovL49qe+LEiTb72717t/bu3atJkyZ1t+8AAAAAgAEm4TWxU6dOVVFRkVauXCmPx6OxY8eqpKREFRUVWrFiRbjeXXfdpW3btmnfvn3hsssuu0wLFixQfn6+MjIytH//fr300kvKzMzUsmXLeuaMAAAAAAD9VsIQK0kPPfSQVq1apfXr16u6uloFBQV64oknNGPGjHbb3XDDDdqyZYveeOMNNTQ0KCcnR0VFRVq2bJnGjBmTlBMAAAAAAAwchmmaZqo70VkzZ86UJO3YsSPFPQEAAAAA9KaE18QCAAAAANBXEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJZBiAUAAAAAWAYhFgAAAABgGYRYAAAAAIBlEGIBAAAAAJbh6Egln8+nRx55ROvXr1dNTY0KCwu1fPlyzZ49u912mzZt0iuvvKLS0lIdP35cI0aM0GWXXaZly5Zp0KBBSTkBAAAAAMDAYZimaSaq9JOf/ESbNm3STTfdpHHjxqmkpES7d+/WmjVrNG3atLjtZs2apdzcXM2bN08jR47Uvn379MILL+iss87SSy+9JLfb3aVOz5w5U5K0Y8eOLrUHAAAAAFhTwhBbWlqqpUuX6p577tEtt9wiSfJ6vbr66quVm5ur5557Lm7brVu3atasWVFl69at01133aUVK1Zo8eLFXeo0IRYAAAAABqaE18Ru3LhRTqdTS5cuDZe53W4tWbJEO3fuVGVlZdy2rQOsJM2bN0+SVF5e3pX+AgAAAAAGsIQhtqysTOPHj1dmZmZU+ZQpU2SapsrKyjp1wC+//FKSNHTo0E61AwAAAAAgYYj1eDzKzc1tU56TkyNJ7c7ExvLkk0/Kbrfryiuv7FQ7AAAAAAAShtiGhgY5nc425aGbMnm93g4fbMOGDfrTn/6k2267TWPHju1ENwEAAAAA6ECITUtLk9/vb1MeCq8dvcPwjh07dO+992ru3Lm68847O9lNAAAAAAA6EGJzcnJiLhn2eDySFHOpcWt79+7VHXfcoYKCAj388MOy2+1d6Cq7yiKnAAAeXUlEQVQAAAAAYKBLGGILCwt14MAB1dXVRZXv2rUrvL09X3zxhW677TYNGzZM//M//6OMjIxudBcAAAAAMJAlDLFFRUXy+/1au3ZtuMzn86m4uFjTp09XXl6eJKmioqLNY3M8Ho++973vyTAMPfXUUxo2bFiSuw8AAAAAGEgciSpMnTpVRUVFWrlypTwej8aOHauSkhJVVFRoxYoV4Xp33XWXtm3bpn379oXLbrvtNh08eFC33Xabdu7cqZ07d4a3jR07VtOmTUvy6QAAAAAA+rOEIVaSHnroIa1atUrr169XdXW1CgoK9MQTT2jGjBntttu7d68k6X//93/bbFu0aBEhFgAAAADQKYZpmmaqO9FZM2fOlNR0x2MAAAAAwMCR8JpYAAAAAAD6CkIsAAAAAMAyCLEAAAAAAMsgxAIAAAAALIMQCwAAAACwDEIsAAAAAMAyCLEAAAAAAMsgxAIAAAAALIMQCwAAAACwDEIsAAAAAMAyCLEAAAAAAMsgxAIAAAAALIMQCwAAAACwDEIsAAAAAMAyCLEAAAAAAMsgxAIAAAAALIMQCwAAAACwDEIsAAAAAMAyCLEAAAAAAMsgxAIAAAAALIMQCwAAAACwDEIsAAAAAMAyCLEAAAAAAMsgxAIAAAAALIMQCwAAAACwDEIsAAAAAMAyCLEAAAAAAMsgxAIAAAAALIMQCwAAAACwDEIsAAAAAMAyCLEAAAAAAMsgxAIAAAAALIMQCwAAAACwDEIsAAAAAMAyCLEAAAAAAMtwpLoD/VGgvlZ1e7coUFsle1a2Mgtny56elepuoQ9gbAAAAADdY5imaaa6E501c+ZMSdKOHTtS3JNopmnq5OYXVL11vWTYZPq9MpxuyQxqyKxrNXTOt2QYRqq7iRRgbCARPuBAPIwNAACiEWKT6MQ7z6t62waZfm+bbYbTrSEXLdSwud9OQc+QaowNxMMHHIiHsQEAQGxcE5skgfpaVW9dHzOkSJLp96p663oFGup6uWdINcYG2nNy8wtNH3A0+sNjxPR7ZTb6Vb1tg05ufiHFPUSqMDbQEYH6WtV88LpO/nWtaj54XYH62lR3CQB6HDOxSVLzwes6/vozcYOKJMkw5BiSJ3tWdu91rM+w3DBLmkBtlRqrK6X2/lczDDmy8+TIGtqmPOKHqC/RZUbrko63jSw02nwTe6bH6FhbxWhrdKNtqMzoYL2Ex4g6z871Ida+O9svs9GvU7velMxg27rhNjYNmvZ1GQ6nYuwx/rFa97EDxfHrd362L/4MYSf31ZX9JOn8jBT+/oKNflVvKZGCgfiVbHYNm3eL7GkZMmx2yeaQYbM3fW9v/mqzy7A7Wr632WXYQ987JJtNhs0RUdb8lRnePo+ZegADGTd2SpJAbVX7AVaSTFONVUfVWHW0dzoF6zBNNZ48qsaTjA20YgZ16v3XUt0L9EXBgE5seqpn9m3YZNgdMYJvZDC2hYOzmuu0hOXmgNwmQLcKzkZo3037izxm9LGbt9scbQO6YZPsrfsRcRxbq+39JNhFztSHhN6HVG/bIElcpgKg3yLEJok9K1uG091+kLXZlXHOdLlHnNN7HUPKeY/s1+n97yecUcmYMF3uERMUnrWOmLg1w2WRs7lt6ylmvVbb1PQJftvNZpt6Ld+abepFH7ZzbWMd1+xG2+hzi9G2vd9Vp/rV9d9brN+5/8tD8h8/3HafrTiHjZLzjBGxN3ZyMU38xTdxytvdfbL2Fa9+7PL2u5SaPsXvTnv14/epseZLBU4dT7h/mztThitNCgZkBhtlBoNSoFFmMND+a04iZlBmo6+9XlpXOKDHCtOtg3OsgB5nhjs8Ax57htuwO9r9cCAy+EfvM+IDg+Z+BH0NqnpvvRTwxzzF0GUqQy6+Rva0zF7+BQNAzyPEJklm4WwdT/CJuGGzKWfhj/iDMsAE6mv1xaO3Nb2pjMOw2ZRzDWNjoOnIZQiG060hFy/U4Glf78WeIdU6OjaGXXFj3LFhmmZTGA00SsFgU8gNBJoDb0BqDr2R20Pbmuo1bw82SoFAOBibgeawHIz4Grk9Rpg2m9tF9cMMRPWn5fvW/Wj+Phho3mfTMbusPwf0KIZq9/xNQ6bPT3VHACDpCLFJYk/P0pBZ1ya8Ay0hZeBhbCCejnz4JTOozImX9E6H0GckY2wYhtE0w2izJ7l3qRcO6MFA24Btti4LBeNYQT4yYEcEZ7NVkI/c3ipMxwz6sYJ8h/oR6F5Aj/wdNfp0/LWnVPuPt+TKHSdX3llNX3PH8YgmAJZHiE2ioXO+JUkRN1nwyXC6mm6ycNHC8HYMPIwNxMIHHIiHsdG+qIDeD9/JmMHoEN4SoJvC8qmP/qrqv5eEZ5TjCgbkPbJf3iP7o4rtg4fL3RxoQ+HWOWxEv/zAA0D/xN2Je0CbB9NPvGTAvtFANMYGWmt7h9GIDzi4w+iAxthAPOHLVBpjXxMrSbI7lXPVHfJXHZWv8nP5jn2mxqpjcasbDpdcOWPkyj1LrrxxTV+ZtQXQRxFiAaAP4AMOxMPYQCwn3nk+4Ux967sTB7318nk+l+/Y5/JWftYUbis/l+lriHscZm0B9EWEWAAAAItJ1ky9aQbVWFUp37GmQBsKt+098q1l1rb1tbaDknmKABAXIRYAAMCiemqmvmnW9gv5jn0WFW7bnbUddIbcoVDLrC2AHtShEOvz+fTII49o/fr1qqmpUWFhoZYvX67Zs2e32660tFTFxcUqLS3Vxx9/LL/fr3379nW704RYAACA3hWeta2MXpKcaNbWOXyM3HnRS5KZtQXQHR26p9/dd9+tTZs26aabbtK4ceNUUlKi22+/XWvWrNG0adPittu8ebPWrl2rgoICjRkzRp9++mnSOg4AAIDeYxg2OYeeKefQM5VZMCtcHvTVy1f5RfgGUt7wtbb1Mht98h0tl+9oedS+7IPOkCt3XNTMLbO2ADoq4UxsaWmpli5dqnvuuUe33HKLJMnr9erqq69Wbm6unnvuubhtv/zyS2VlZSktLU0PPvignn32WWZiAQAA+jnTDKqx2tOyHPlYx2dtm8Jty8wts7YAWks4E7tx40Y5nU4tXbo0XOZ2u7VkyRI9/PDDqqysVG5ubsy2w4cPT15PAQAAYAmGYZMzO0/O7Ly2s7aeg23CbetZ29qIfdkHDZMr96zmYNt8re0ZI5m1BQawhCG2rKxM48ePV2Zm9E0CpkyZItM0VVZWFjfEAgAAACE2V7rSRuUrbVR+uMw0TTVWh+6Q3BJuG08ek2QqcOqE6k+dUH35++E2ht0pZ/NzbcOztrlnyZ7BrC0wECQMsR6PR3l5eW3Kc3JyJEmVlZXJ7xUAAAAGBMMwImZtLwqXt561bbpL8ucyvadlBvzyHf1UvqOfxpi1jbjWNvcsZm2BfihhiG1oaJDT6WxT7na7JTVdHwsAAAAkU/xZW09EsG366j9xVNGzth+E27TM2kaHW2ZtAetKGGLT0tLk9/vblIfCayjMAgAAAD2padY2V87s3O7P2mYNk6t5KXIo3DrPGMWsLWABCUNsTk5OzCXDHo9HkrgeFgAAACnV7qxt86N/QjO34Vnb2hOqr40xazt8dPh5tqFwa88YnIKzAhBPwhBbWFioNWvWqK6uLurmTrt27QpvBwAAAPqSqFnb/AvD5UFfg3yeL6LCbdSs7bED8h07ELUve9aw5kf+jJM79yy58sbJOWykDHvCt9IAekDC//OKior09NNPa+3ateHnxPp8PhUXF2v69Onhmz5VVFSovr5eEyZM6NEOAwAAAF1lc6XFnrWt8TTfIbkl3PpPHFHUrO2nLbO2sjvkGj6meUnyWXKHnmvLrC3Q4xKG2KlTp6qoqEgrV66Ux+PR2LFjVVJSooqKCq1YsSJc76677tK2bdu0b9++cNnhw4e1fv16SdKHH34oSfrtb38rqWkG9/LLL0/qyQAAAACdZRiGnENy5RwSa9b2YPgGUqFwG/SelgKNcWZthzY9zzY0axt6ri2ztkDSdOj/poceekirVq3S+vXrVV1drYKCAj3xxBOaMWNGu+0OHTqkRx55JKos9POiRYsIsQAAAOizmmZtz1XaqHPDZW1mbSs/k+9Y5KztSdXXnmxn1rYl3Nozh/T+SQH9gGGappnqTnTWzJkzJUk7duxIcU8AAAAAKej3ylf5RdSjf3zHPmuatY2jadZ2XMuNpELPtWXWFmgXIRYAAADoAaZpKlDzpbytn2t7vGnWNqbQrG3zjaRC4bazs7aB+lrV7d2iQG2V7FnZyiycLXt6VvdPCugDCLEAAABALwr6va2ea9t8rW1DXdw29szs8IytK6/pRlLOM0a1mbU1TVMnN7+g6q3rJcMm0++V4XRLZlBDZl2roXO+JcMwevoUgR5FiAUAAABSLDxrG+u5tmYwdiObQ67Qc22bZ21P7/9Apz7YJNPvbVPdcLo15KKFGjb32z18NkDPIsQCAAAAfVR41rb5BlKhcNverG277A6NuOFncgwaKsOZJpsrTYbTzewsLIUQCwAAAFiIaZoKnDrecq1t6Lm2xysU91rbdhkyXG7ZnGkyXGmyudKbw21zyG3+uen7tKht4TJnenibzZUuw+WWYdiSfeqApA4+YgcAAABA32AYhhyDh8sxeLgyz50ZLj+x+XlV/e1PXdijKdPXoICvQeriBG/MfjrdrcJwZABOjwjAabK509vUiwzV4bY2e/I6CMsixAIAAAD9gGPwcBlOd8zrYUMMp1tD59ygrIkXK+hrUNDXINNX3/TV36Cgt15Bf4PM8LYGBf0R3/saZPrrI9o2yGz0xTyW6fcq4PdKqk7aORp2Z0ugjZwhbhOAI4JvjKAcFartzqT1zwr6w52rCbEAAABAP5BZOFvHNz3VfiUzqEFTL5M9LTNpxzWDgXDAjR2A61u2h76PqBdZtyUoN8Q+VsAvs96vYP2ppPVfNkecGeBWs8DtLqFuCcuGO70pbPex64zj3bn6+KanLHfnakIsAAAA0A/Y07M0ZNa1qt62od27EyczwEqSYbPLSMuULZnB2AzK9Hljzvy2DcAR25vrRobhyLYxrxkONirYUCs11CqQrBMwbK2WUKe3DbtRAbjV8uoY4bm7N+A6ufmFprHR6A+XhcZJ9bYNkmSZO1cTYgEAAIB+Yuicb0lSxGybT4bT1fSc2IsWhrf3dYZhk+FOl82dLmloUvZpmqbMRl9zwI0MuzGWUEeF5fro0NwqKMd8BJIZVNB7WvKeTl4wjncDrnhBOSIAS6aq3lsnBRpj/278XlVvXa8hF1+T9A85egIhFgAAAOgnDMPQsLnf1pBZC6Ove5x4iSXCSU8yDEOG0y053bJnDknKPk3TbFriHBWAI0Kuv3UAbhWUI5ZXR7ZXMFb07ZkbcIUZNtWV/V2Dp329B3aeXIRYAAAAoJ+xp2dZIoxYnWEYMhwuyeGSPWNw0vZrBvytwm57N96Kt4Q6IkA31MWeMY48pt+nQG1V0s6hJxFiAQAAAKAPMexO2dOdUvqgpOyv5oPXdfz1ZxLcudole1Z2Uo7X03gCMQAAAAD0Y5mFsxPOxMoMKnPiJb3ToW4ixAIAAABAPxa6c7XhdMfcbjjdGjLrWstcN81yYgAAAADo5/rLnaslQiwAAAAA9Hv96c7VhFgAAAAAGCD6w52ruSYWAAAAAGAZhFgAAAAAgGUQYgEAAAAAlkGIBQAAAABYBiEWAAAAAGAZhFgAAAAAgGUQYgEAAAAAlkGIBQAAAABYBiEWAAAAAGAZhFgAAAAAgGUQYgEAAAAAlkGIBQAAAABYBiEWAAAAAGAZhFgAAAAAgGUYpmmaqe5EZxUWFso0TQ0aNCjVXQEAAAAA9IBBgwbp7bffblNuyZlYm80mwzBS3Q0AAAAAQC+z5EwsAAAAAGBgsuRMLAAAAABgYCLEAgAAAAAsgxALAAAAALAMQiwAAAAAwDIIsQAAAAAAyyDEAgAAAAAsgxALAAAAALAMQiwAAAAAwDIIsQAAAAAAyyDEAgAAAAAsgxALAAAAALAMQiwAAAAAwDIIsQAAAAAAyyDEdpLP59OvfvUrXXrppZoyZYq++c1vasuWLR1qe+zYMd15552aOXOmpk+frmXLlungwYM93GN0R2VlpVauXKkbb7xR06ZNU0FBgbZu3dojx3rzzTe1aNEiTZ48WXPnztXjjz+uxsbGqDrFxcUqKCiI+Z/X6+2RfiG+3no9WLt2rRYsWKDJkydr/vz5eu6559rUKS0t1c9+9jMtXrxY559/vgoKCrp1bki+3hgv//3f/6077rhDX/nKV1RQUKDHHnss2aeBXtTVMcPrQf/X3fcn5eXluvXWWzVt2jRddNFFuuuuu3TixIke7DF6QmfGQUfeZ8YTDAb15JNP6vLLL9fkyZO1cOFCvfLKK8k8lU4jxHbS3XffrdWrV+uaa67RvffeK5vNpttvv10ffPBBu+3q6up00003aefOnfqXf/kX/fjHP9aePXt00003qbq6upd6j846cOCAnnzySR07dqxH3wRs3rxZP/jBDzRkyBDdf//9mjdvnn7zm99oxYoVMesvX75cDz30UNR/Tqezx/qH2Hrj9eCFF17Qfffdp/z8fN1///2aOnWqHnjgAT399NNR9TZv3qy1a9dKksaMGZPcE0VS9MZ4WbVqlUpLSzVx4sSePBX0kq6OGV4P+r/uvD85evSovvOd7+jgwYNavny5vve97+ntt9/WrbfeKr/f30M9Rk/o6Djo7PvM1h5++GGtXLlSl156qe6//36NHDlSy5cv18aNG5N1Kp1nosN27dpl5ufnm88880y4rKGhwZw3b555ww03tNv2iSeeMAsKCsyPPvooXLZ//35z4sSJ5qpVq3qqy+imU6dOmSdOnDBN0zRff/11Mz8/33zvvfeSfpyrrrrKXLRokdnY2Bgu+/Wvf20WFhaaBw4cCJe99NJLZn5+vrlnz56k9wGd0xuvB/X19eZFF11k3nHHHVHt//Vf/9WcNm2aWVNTEy7zeDxmfX29aZqm+fOf/9zMz8/vzukhyXrr78fBgwdN0zTN6upqMz8/33z00UeTdxLoVd0ZM7we9H/deX/yH//xH+YFF1xgHj16NFz27rvvmvn5+ebatWt7pL/oGR0dBx19nxnL0aNHzUmTJpk///nPw2XBYNC84YYbzMsuu8wMBALJOZlOYia2EzZu3Cin06mlS5eGy9xut5YsWaKdO3eqsrIybtvXXntNF1xwgc4777xw2YQJEzR79my9+uqrPdpvdF1WVpaGDh2asF4wGNRTTz2lBQsW6Pzzz9ell16q//qv/1JdXV3Ctvv379f+/ft1/fXXy263h8tvuOEGBYNBbdq0KWa72tpaBYPBjp8Mkqo3Xg+2bt2qqqoq3XDDDVHtv/Od76iurk5/+ctfwmXDhw9XWlpaMk4NPaC3/n6MHj06+Z1HSnRnzPB60P919P1JLJs2bdLll1+uvLy8cNkll1yis846i/ekFtORcdDV95khb7zxhvx+f9R7EcMw9O1vf1uHDx9WaWlp906iiwixnVBWVqbx48crMzMzqnzKlCkyTVNlZWUx2wWDQe3bt0/nn39+m22TJ0/WZ599pvr6+h7pM3rHvffeq4cfflgXXXSR7rvvPi1cuFAvvviili1bJtM02227Z88eSWozPvLy8nTmmWeGt0e64YYbNGPGDF1wwQX68Y9/rIqKiuSdDDqkN14P4o2NSZMmyWazxRwb6Jv4+4HO6uqYAdpz7NgxHT9+POZrypQpUxhX/VBX3mdGKisrU1ZWlsaPHx9VPmXKlKj99zZHSo5qUR6PJ+pTq5CcnBxJivupaFVVlXw+X7he67amacrj8Wjs2LHJ7TB6xY4dO1RcXKxHH31U8+fPD5dPnjxZy5cv11//+ld97Wtfi9ve4/FIUtzxETmu0tPTtXjxYs2aNUuZmZnatWuXVq9erV27dqmkpETDhg1L4pmhPb3xeuDxeORyuZSdnR1VL1TW3kwM+hb+fqCzujpmgPaExk2815Tjx48rEAhEzdjB2jrzPjNe++HDh8dsK6XutYgQ2wkNDQ0xb57jdrslKe7dYUPlLpcrbtuGhoZkdRO9bOPGjcrOztaFF14YdWe/mTNnym63a9u2be2G2NC/fbzxETnLsmDBAi1YsCD889e//nVdeOGF+ud//metXr1ay5cvT8YpoQN64/Ug3jFCdbkjtXXw9wOd1dUxA7Sno68prVcAwLo68z4zXvv2xkuqXosIsZ2QlpYW865toX+80D9ma6Fyn88Xty3XrljX559/rqqqKs2ePTvm9lCwraqqiho/aWlpGjRoUPjfPt74SDQ25syZo7PPPltbtmwhxPai3ng9SEtLi1kvVDfeMdD38PcDndXVMQO0h9eUgae77zPjvRdJ9WsRIbYT4k25h6bpc3NzY7bLzs6Wy+UK12vd1jCMmFP8sIZgMKicnBw99NBDMbeHxsWPfvQjbdu2LVy+aNEi/fKXvwz/23s8njZjyOPxaNq0aQn7MGLECB0+fLirp4Au6I3Xg5ycHPn9flVVVUUtKfb5fKqqqop7DPQ9/P1AZ3V1zADtCY2beK8pZ5xxBkuJ+5nuvs/MycnRjh072pSn+rWIENsJhYWFWrNmjerq6qKWWezatSu8PRabzab8/Hzt3r27zbbS0lKNGzdO6enpPdNp9LixY8dq69atmjlzZszlFiF33XWXampqwj+H/qcPPc9x9+7dmjRpUnj7sWPHdPTo0Q497/HgwYM644wzunoK6ILeeD2IHBuXXnppuN7u3bsVDAZ5FqiF8PcDndXVMQO0Jy8vT8OGDYv7msLflf6nu+8zJ06cqLVr1+rAgQNRN3cKvRalasxwd+JOKCoqkt/vDz9AXGqaESkuLtb06dPDN2CoqKhQeXl5VNv58+frH//4R9QdvD799FO99957Kioq6p0TQI+YP3++/H6/nnjiiTbbfD6famtrJTXdFe6SSy4J/3fOOedIks4991ydffbZ+uMf/6hAIBBu+/zzz8tms+nKK68Ml0VecxuyYcMGffHFF1EhBz2vN14PLr74YmVnZ+sPf/hDVPvnn39eGRkZ7V5rjb6Fvx/orO6MGSDkiy++0BdffBFVduWVV+qtt97SsWPHwmVbtmzRZ599xmtKP9SZ95mnTp1SeXm5Tp06FS674oor5HQ6o96LmKapF154QSNHjtTUqVN750Rasf/sZz/7WUqObEFnnnmm9u/fr+eee051dXU6dOiQVqxYofLycv3qV7/SyJEjJUnLli3TQw89pB/96EfhtgUFBXr11VdVUlIi0zRVWlqq//zP/1RGRoZ++ctf8kl6H/bb3/5W27dv17Zt2/Txxx/LZrNp37592rdvn6ZMmaLRo0fr2LFjeuaZZ/TRRx/p+PHj+vDDD/Xyyy/rvvvu09SpUzVmzJh2jzFq1Cj97ne/0/vvvy+fz6eSkhI988wzuv7667Vo0aJwvWuvvVbvv/++Dh48qI8//lh/+MMf9Nhjj2ncuHH6xS9+wTVSvag3Xg8cDocyMjL0u9/9Tvv371dtba2effZZrV+/XnfeeacuueSS8D4PHz6s3//+99q+fbu2b9+uo0ePym63a/v27Tp16lSbW+Ojd/XW349169bprbfe0vbt27Vjxw4ZhqEjR45o+/btKiws5DXCQrozZng9GBgSvT+Rmi5dWrdunW6++eZwu8LCQq1duzb8TNj33ntPv/jFLzR+/Hjdf//9LCe2mI6Mg46+z/zzn/+s733vexo/fnx4hjUrK0u1tbVavXq1Kisr9eWXX+rRRx/V3//+dz3wwAPKz89PyXkbZqKHWCKK1+vVqlWrtGHDBlVXV6ugoEA/+clPot5M3njjjdq2bZv27dsX1fbo0aP6xS9+oXfffVfBYFCzZs3SvffemzDgILUKCgpilo8aNUpvvfWWpJZPpF588UWVl5fL5XJp9OjRmjNnjm6++eYOPfrmjTfe0OOPP67y8nINGzZM//RP/6Rly5bJ4WhZ9f/www/rnXfe0eHDh9XQ0KDc3Fxdfvnl+uEPf9jmMSzoeb31evDiiy/q6aef1qFDhzRixAjdeOONuummm6LqbN26tU1ZSOj6a6RWb4yXUPtY3nzzTY0ePTr5J4Ye09Uxw+vBwNCR9yeXX365JIV/Dvnkk0/0y1/+Ujt37pTT6dTcuXN1zz338Kg+C+rIOJA69j6zuLhY99xzj1asWKHFixeHy4PBoJ588kn98Y9/VGVlpcaPH6/vf//7uvrqq3vuxBIgxAIAAAAALINrYgEAAAAAlkGIBQAAAABYBiEWAAAAAGAZhFgAAAAAgGUQYgEAAAAAlkGIBQAAAABYBiEWAAAAAGAZhFgAAAAAgGUQYgEAAAAAlvH/ATlt++7tMT6aAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_by_property(df, 'lambda', title=\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_by_property(df, 'alpha')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>alpha</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>5.0</th>\n",
       "      <th>10.0</th>\n",
       "      <th>20.0</th>\n",
       "      <th>50.0</th>\n",
       "      <th>100.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lambda</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.505418</td>\n",
       "      <td>0.461526</td>\n",
       "      <td>0.400392</td>\n",
       "      <td>0.361633</td>\n",
       "      <td>0.324336</td>\n",
       "      <td>0.277409</td>\n",
       "      <td>0.253421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>0.00001</td>\n",
       "      <td>0.505512</td>\n",
       "      <td>0.461567</td>\n",
       "      <td>0.400368</td>\n",
       "      <td>0.361566</td>\n",
       "      <td>0.324274</td>\n",
       "      <td>0.277400</td>\n",
       "      <td>0.253270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>0.00100</td>\n",
       "      <td>0.507728</td>\n",
       "      <td>0.462894</td>\n",
       "      <td>0.401310</td>\n",
       "      <td>0.358702</td>\n",
       "      <td>0.323016</td>\n",
       "      <td>0.276400</td>\n",
       "      <td>0.251344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>0.01000</td>\n",
       "      <td>0.513487</td>\n",
       "      <td>0.470175</td>\n",
       "      <td>0.410756</td>\n",
       "      <td>0.363783</td>\n",
       "      <td>0.318764</td>\n",
       "      <td>0.272876</td>\n",
       "      <td>0.247287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>0.10000</td>\n",
       "      <td>0.524166</td>\n",
       "      <td>0.480251</td>\n",
       "      <td>0.416978</td>\n",
       "      <td>0.368247</td>\n",
       "      <td>0.325764</td>\n",
       "      <td>0.273324</td>\n",
       "      <td>0.235133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.469687</td>\n",
       "      <td>0.449410</td>\n",
       "      <td>0.399664</td>\n",
       "      <td>0.352802</td>\n",
       "      <td>0.308717</td>\n",
       "      <td>0.251185</td>\n",
       "      <td>0.214561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10.00000</td>\n",
       "      <td>0.446398</td>\n",
       "      <td>0.444570</td>\n",
       "      <td>0.394475</td>\n",
       "      <td>0.353901</td>\n",
       "      <td>0.319363</td>\n",
       "      <td>0.254787</td>\n",
       "      <td>0.202300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "alpha        1.0       2.0       5.0       10.0      20.0      50.0      100.0\n",
       "lambda                                                                        \n",
       "0.00000   0.505418  0.461526  0.400392  0.361633  0.324336  0.277409  0.253421\n",
       "0.00001   0.505512  0.461567  0.400368  0.361566  0.324274  0.277400  0.253270\n",
       "0.00100   0.507728  0.462894  0.401310  0.358702  0.323016  0.276400  0.251344\n",
       "0.01000   0.513487  0.470175  0.410756  0.363783  0.318764  0.272876  0.247287\n",
       "0.10000   0.524166  0.480251  0.416978  0.368247  0.325764  0.273324  0.235133\n",
       "1.00000   0.469687  0.449410  0.399664  0.352802  0.308717  0.251185  0.214561\n",
       "10.00000  0.446398  0.444570  0.394475  0.353901  0.319363  0.254787  0.202300"
      ]
     },
     "execution_count": 292,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = df.pivot_table(values='mrr', index=['lambda'], columns=['alpha'], aggfunc='mean')\n",
    "p.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff41f41ec18>"
      ]
     },
     "execution_count": 293,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12,12))\n",
    "sns.heatmap(p.sort_index(ascending=False), cmap='Blues',linewidths=1,ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}