examples/notebooks/sum_benchmarking.ipynb in pycall-0.1.0.alpha.20170711 vs examples/notebooks/sum_benchmarking.ipynb in pycall-1.0.0

- old
+ new

@@ -1,15 +1,11 @@ { "cells": [ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ ":sns" @@ -32,15 +28,11 @@ ] }, { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "true" @@ -56,15 +48,11 @@ ] }, { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" @@ -85,15 +73,11 @@ ] }, { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "100" @@ -113,15 +97,11 @@ ] }, { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "100" @@ -141,15 +121,11 @@ ] }, { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "100" @@ -169,15 +145,11 @@ ] }, { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "100" @@ -197,15 +169,11 @@ ] }, { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "100" @@ -234,134 +202,172 @@ ] }, { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr>\n", + " <th></th>\n", + " <th colspan=\"8\" halign=\"left\">runtime</th>\n", + " </tr>\n", + " <tr>\n", + " <th></th>\n", + " <th>count</th>\n", + " <th>mean</th>\n", + " <th>std</th>\n", + " <th>min</th>\n", + " <th>25%</th>\n", + " <th>50%</th>\n", + " <th>75%</th>\n", + " <th>max</th>\n", + " </tr>\n", + " <tr>\n", + " <th>method</th>\n", + " <th></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", + " <th>array.inject</th>\n", + " <td>100.0</td>\n", + " <td>0.013103</td>\n", + " <td>0.001518</td>\n", + " <td>0.012029</td>\n", + " <td>0.012350</td>\n", + " <td>0.012590</td>\n", + " <td>0.013337</td>\n", + " <td>0.022215</td>\n", + " </tr>\n", + " <tr>\n", + " <th>array.sum</th>\n", + " <td>100.0</td>\n", + " <td>0.001882</td>\n", + " <td>0.000372</td>\n", + " <td>0.001498</td>\n", + " <td>0.001587</td>\n", + " <td>0.001804</td>\n", + " <td>0.002008</td>\n", + " <td>0.003009</td>\n", + " </tr>\n", + " <tr>\n", + " <th>enum.inject</th>\n", + " <td>100.0</td>\n", + " <td>0.023528</td>\n", + " <td>0.002267</td>\n", + " <td>0.021078</td>\n", + " <td>0.021782</td>\n", + " <td>0.023041</td>\n", + " <td>0.024574</td>\n", + " <td>0.033859</td>\n", + " </tr>\n", + " <tr>\n", + " <th>enum.sum</th>\n", + " <td>100.0</td>\n", + " <td>0.010069</td>\n", + " <td>0.001304</td>\n", + " <td>0.009078</td>\n", + " <td>0.009221</td>\n", + " <td>0.009463</td>\n", + " <td>0.010708</td>\n", + " <td>0.018378</td>\n", + " </tr>\n", + " <tr>\n", + " <th>while</th>\n", + " <td>100.0</td>\n", + " <td>0.011932</td>\n", + " <td>0.001089</td>\n", + " <td>0.011079</td>\n", + " <td>0.011357</td>\n", + " <td>0.011491</td>\n", + " <td>0.012085</td>\n", + " <td>0.018309</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>" + ], "text/plain": [ - " runtime\n", - "method \n", - "array.inject count 100.000000\n", - " mean 0.003378\n", - " std 0.000597\n", - " min 0.002945\n", - " 25% 0.003054\n", - " 50% 0.003156\n", - " 75% 0.003540\n", - " max 0.007732\n", - "array.sum count 100.000000\n", - " mean 0.000686\n", - " std 0.000185\n", - " min 0.000502\n", - " 25% 0.000557\n", - " 50% 0.000644\n", - " 75% 0.000763\n", - " max 0.001398\n", - "enum.inject count 100.000000\n", - " mean 0.005062\n", - " std 0.001402\n", - " min 0.004181\n", - " 25% 0.004265\n", - " 50% 0.004588\n", - " 75% 0.005379\n", - " max 0.012665\n", - "enum.sum count 100.000000\n", - " mean 0.001550\n", - " std 0.000634\n", - " min 0.001276\n", - " 25% 0.001300\n", - " 50% 0.001389\n", - " 75% 0.001546\n", - " max 0.006696\n", - "while count 100.000000\n", - " mean 0.003454\n", - " std 0.000500\n", - " min 0.003139\n", - " 25% 0.003196\n", - " 50% 0.003250\n", - " 75% 0.003606\n", - " max 0.006527" + "#<Object:0x007fd93f0727e8 @__pyptr__=#<PyCall::PyPtr:0x007fd93f0727c0 type=DataFrame addr=0x00000117195c50>>" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df = pd.DataFrame.({method: method, runtime: runtime}, {}) # The last empty hash is for empty kwargs\n", - "df.groupby.('method').describe.()" + "df = pd.DataFrame.new(data: {method: method, runtime: runtime})\n", + "df.groupby('method').describe()" ] }, { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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9e6VtFN9W8W8hTZs2hYWFhXhXRmFhIfbu3Qs/Pz/UrVtXrNeoUSP4+PhojKWITCbD/v37VR4LFixQqTt8+HClLuL27dujsLDwpW7pHTp0qFKbnp6eEAQBQ4cOFcuMjY3RvHlzpTtStm7dCktLS7z//vt4+PCh+PDw8IBcLle5NODo6Kj2dSn+nqSnp+Phw4fw8vLCjRs3kJ6erlTX3t4evXv3Fp8XXY6Jj49Hamqq2v27cOECEhMTMXDgQDx69EiMMzs7G126dMGxY8dKHc9RtWpV/PvvvzpdMtKkS5cuSj0cRXed9u3bV+lbclH5i3cCyeVyDBgwQHzesGFDVK1aFY0aNVK6g1Xd+sVf72fPnuHRo0eoX78+qlatqvZzoI09e/bAzs4OgYGBYpmJiQlCQ0ORlZWFo0ePKtUPCAgQx6YAz49jdftZkuHDhyv1RI0aNQqVKlXCnj17AAD79+/HkydPEBgYqHRsGhsbw9PTU+XYBICRI0cqPW/fvr1SPD///DMkEonacZsvXrbRdO4o7pNPPhH/X/Q5e/HzV7VqVTRs2FBpfWNjY3EsmUKhQFpaGgoKCtC8eXO172Np5+T09HR07doVV65cwZEjR1R6p9R59OgRACi9j7rKyckpcTycTCZDTk6OWA94/ndCXb3idcrqxfe/JLqcr4rT5TxSrVo15OTk4OnTp1rFpCtekqtAhYWF2Lx5Mzp16oSkpCSx3NPTE0uWLMHBgwfRtWtXpXUcHR1LbE/dsqKxAatWrUJSUpJSEla8C9vIyAiDBg3C6tWr8fTpU1SuXBnR0dGQyWTimIvS7N69G/PmzcOFCxeU5rpQdzdC8SSoSLVq1cSxEg8ePEBOTg4aNGigUq9hw4biyVsTY2NjeHt7a1X3xZiKTlbqxm9o68U2LS0tAQB16tRRKS++ncTERKSnp6NGjRpq271//77S85KOiZMnTyI8PByxsbEqJ4j09HQxHgCoX7++ynv1zjvvAHg+VsPOzk6l/cTERADPE/WSpKenl3jinzJlCg4cOICWLVuifv366Nq1KwYOHIi2bduW2J4murzmgOr7W7t2bZXXwdLSUqv1c3JyEBERgaioKNy5c0fp8kNpJ/zS3Lp1Cw0aNFC5eaPoEt6LCf3LHscvfubkcjlq1qwpjsMqes9LGjT74qXuovFIL8ZUPJ7r16/D3t4eVlZWGuPTdO4ora6lpSVkMhmqV6+uUl6UpBT54YcfsGTJEly5cgXPnj0Ty9V91ko7J0+YMAG5ubmIj49HkyZNSqynjlDK5StNzMzMkJ+fr3ZZ8ZtCiv5VNz9Rbm6uUp2yKu31KU6X81VxupxHil5T3iX3Gjp06BBSUlKwefNmbN68WWV5dHS0SsJU2sGrbtn8+fPx+eefY8iQIZg7dy6srKxgZGSECRMmqHz7DwoKwuLFi7Fz504EBgZi06ZN4iDF0hw/fhw9e/ZEhw4dsGrVKtSsWRMmJiaIiopSGXgHlHxb/8ucIF7Wy8SkriewtDbVlRffjkKhQI0aNdQO/geg8gdI3ft+/fp1dOnSBS4uLli6dCnq1KkDqVSKPXv24Ouvvy6XO3mK2li8eHGJ35zlcnmJ6zdq1AhXr17F7t27ERMTg59//hmrVq3CrFmzMGfOHAAln9jK4zUHVN/fl1l/3LhxiIqKwoQJE9C6dWtYWlpCIpFgwIAB5fJ6a6OiP1tF+7Fx40a1SfSLdz6V9xQeuuyfurrarP/TTz8hJCQEfn5++Oyzz1CjRg3xxpfr16+rrFvaOblXr17YvHkzFixYgB9//FGru5aLvsi+zJe1mjVrorCwEPfv31f64pWfn49Hjx7B3t4eAGBlZQVTU1OkpKSotFFUVlS3rLRJuF7mfKXNeaTI48ePUbly5Qq7i5gJUwWKjo5GjRo1sHLlSpVl27dvx44dO7BmzZqXenO3bduGTp064bvvvlMqf/Lkico3LVdXV7z77ruIjo5G7dq1kZycXOJEZ8X9/PPPkMlk2Lt3r1LXblRUVJlitrGxgZmZmfhttrirV6+Wqc3yUK1aNZXBnPn5+WpPNi/D2dkZBw4cQNu2bcv83v/666/Iy8vDrl27lL5pq7tkAgDXrl2DIAhKCUrRLcvq7lIrihN43qugbU/ei8zNzREQEICAgADk5+ejT58++PLLLzFt2jTIZDK1rzmg2rNiCLZt24bg4GClu65yc3NV4tfl262DgwMSEhKgUCiU/theuXJFXF6eEhMTxeEBwPM7aFNSUtC9e3cA/73nNWrUKPN7/iJnZ2fs3bsXaWlpWvUyVbRt27bByckJ27dvV3qvtJnq5UV+fn7o2rUrQkJCUKVKFa3u+nJxcQEApasOuir6AnPu3DnxvSt6rlAoxOVGRkZwc3NTezfi6dOn4eTkVOKA7yLl0Vuj6/nqRZrOI0WSkpJKvMGiPHAMUwXJycnB9u3b0aNHD/Tr10/lMXbsWGRmZmLXrl0vtR1jY2OVb19bt27FnTt31Nb/+OOPsW/fPkRGRsLa2hrdunXTahsSiUTpW//NmzfLPPursbExfHx8sHPnTiQnJ4vlf//9N/bu3VumNsuDs7Mzjh07plS2bt26Ens7yqp///4oLCzE3LlzVZYVFBSoTSBeVPRN+sXLQiUlsXfv3sWOHTvE5xkZGfjxxx/h7u6uticBeH7HjbOzM7766itkZWWpLH9xWoYXvXgZRCqVonHjxhAEQbwM4uzsjPT0dCQkJIj1UlJSlGI1FOo+a8uXL1c5PszNzQFAq/exe/fuSE1NVbpbs6CgAMuXL4dcLoeXl1c5RP6fdevWKV2CWr16NQoKCsTzgI+PDywsLDB//nylekU0vefq9O3bF4IgqPQGAPrpdVb32Tl9+jRiY2PL1F5QUBCWLVuGNWvWKE0YWZJatWqhTp06L/UzNZ07d4aVlZVKgrZ69WpUrlxZ6c7lfv364ezZs0rbu3r1Kg4dOqTVcAxzc3OtjuXS6Hq+Kk6b80iRuLg4tGnT5qViLQ17mCrIrl27kJmZiZ49e6pd3qpVK9jY2CA6OhoBAQFl3k6PHj3wxRdfYPDgwWjTpg0uXryI6OhoODk5qa0/cOBATJ48GTt27MCoUaO0uhXZ19cXS5cuxQcffICBAwfi/v37WLlyJerXr6/0h04Xc+bMQUxMDNq3b4/Ro0eLfySaNGmidZsFBQX46aef1C7r3bu3+IdLW5988ok4c+7777+PP//8E3v37lXpqXtZXl5eGDFiBCIiInDhwgV07doVJiYmSExMxNatW/HNN9+gX79+pbbRtWtXSKVSfPjhhxgxYgSysrKwfv161KhRQ22P2DvvvIOhQ4fi7NmzsLW1xffff4979+6VesIyMjLCt99+i27duqFJkyYYPHgwatWqhTt37uDw4cOwsLDAr7/+WmqMdnZ2aNu2LWxtbfH3339jxYoV8PX1Fb/VDhgwAFOmTEHv3r3FWYpXr16Nd955p8wDqStKjx49sHHjRlhaWqJx48aIjY3FgQMHVG53d3d3h7GxMRYuXIj09HSYmpqK88+8aPjw4Vi7di1CQkJw/vx51KtXD9u2bcPJkycRGRmp8du/rvLz89GlSxf0798fV69exapVq9CuXTvxPGVhYYHVq1fj448/xnvvvYcBAwbAxsYGycnJ+O2339C2bVusWLFCp2126tQJH3/8MZYtW4bExER88MEHUCgUOH78ODp16vTKfz+uR48e2L59O3r37g1fX18kJSVhzZo1aNy4sdovBtoYO3YsMjIyMGPGDFhaWmL69Oml1u/Vqxd27Nih0ut769YtbNy4EQDEBGfevHkAnvc2fvzxxwCeXwabO3cuxowZA39/f/j4+OD48eP46aef8OWXXyr15I0ePRrr16+Hr68vJk2aBBMTEyxduhS2trb49NNPNe6bh4cHDhw4gKVLl8Le3h6Ojo46/8SXruerF9fVdB4BgPPnzyMtLQ29evXSKTadVNj9d2+5Dz/8UJDJZEJ2dnaJdUJCQgQTExPh4cOH4i2sixcvVqlX/BbWF+Xm5gqffvqpULNmTcHMzExo27atEBsbq3JrZnHdu3cXAAinTp3Sen++++47oUGDBoKpqang4uIiREVFlXjr95gxY1TWf/HWfEEQhKNHjwoeHh6CVCoVnJychDVr1qhtU53SphVAsdvJi26nPnv2rNL6L95CLwiCUFhYKEyZMkWoXr26ULlyZcHHx0e4du1aidMKvNhmUewPHjxQidXc3FxlH9atWyd4eHgIZmZmQpUqVQQ3Nzdh8uTJwt27d5VeN19fX7Wvwa5du4SmTZsKMplMqFevnrBw4ULh+++/V7mdvqiNvXv3Ck2bNhXfwxePJ3WviSAIQnx8vNCnTx/B2tpaMDU1FRwcHIT+/fsLBw8eVBtXkbVr1wodOnQQ13N2dhY+++wzIT09Xanevn37BFdXV0EqlQoNGzYUfvrpJ62PrZI+N+o+M15eXmpvTy7pNX5xe48fPxYGDx4sVK9eXZDL5YKPj49w5coVtcf2+vXrBScnJ3GajKLXVN3n8t69e2K7UqlUcHNzU5rOoLT9LIpT3XQYxRUds0ePHhWGDx8uVKtWTZDL5cKgQYOER48eqdQ/fPiw4OPjI1haWgoymUxwdnYWQkJChHPnzol1Sjqu1b13BQUFwuLFiwUXFxdBKpUKNjY2Qrdu3YTz588r7Yc25w5dP2cvvu8KhUKYP3++4ODgIJiamgrvvvuusHv3bpUpLspyTp48ebIAQFixYoXKOsXFxcUJAITjx4+rbVfdQ935fN26dULDhg0FqVQqODs7C19//bXSVA1Fbt++LfTr10+wsLAQ5HK50KNHDyExMbHUGItcuXJF6NChg2BmZiYAEN+Lkt6H4suK0/Z89eJnRNvzyJQpU4S6deuq3f/yIhEEPY7EJb3o3bs3Ll68iGvXruk7FCKit1KXLl1gb28v9ihR2eXl5aFevXqYOnWq2l+0KC8cw/SWSUlJwW+//SZ27RIR0as3f/58bNmyxSBvcHjdREVFwcTEROs5ocqKPUxviaSkJJw8eRLffvstzp49i+vXr5c42JeIiIiUsYfpLXH06FF8/PHHSEpKwg8//MBkiYiISAfsYSIiIiLSgD1MRERERBoYRMK0cuVK1KtXDzKZDJ6enjhz5kyp9bdu3QoXFxfIZDK4ubkp/fbYs2fPMGXKFLi5ucHc3Bz29vYICgrC3bt3ldqoV68eJBKJ0kPdj7YSERER6f2S3JYtWxAUFIQ1a9bA09MTkZGR2Lp1K65evap2ordTp06hQ4cOiIiIQI8ePbBp0yYsXLgQcXFxcHV1RXp6Ovr164dhw4ahWbNmePz4McaPH4/CwkKlmU7r1auHoUOHYtiwYWJZlSpVtJ7sUKFQ4O7du6hSpUqF/dAfERERlS9BEJCZmQl7e3utfv+v+Ip61bJlS6XJygoLCwV7e3shIiJCbf3+/furTDLn6ekpjBgxosRtnDlzRgAg3Lp1SyxzcHAQvv766zLHffv27VInTuSDDz744IMPPgz3cfv2bZ3+7uv1p1Hy8/Nx/vx5TJs2TSwzMjKCt7d3ib/rExsbi7CwMKWyot8lK0l6ejokEgmqVq2qVL5gwQLMnTsXdevWxcCBAzFx4kSVX+MuSdGU7Ldv34aFhYVW6xAREZF+ZWRkoE6dOjr/9JBeE6aHDx+isLAQtra2SuW2trbir3W/KDU1VW391NRUtfVzc3MxZcoUBAYGKiU2oaGheO+992BlZYVTp05h2rRpSElJwdKlS9W2k5eXh7y8PPF5ZmYmgOe/vcSEiYiI6PWi63CaN/rHd589e4b+/ftDEASVX3Uu3kvVtGlTSKVS8QdRTU1NVdqKiIhQ+2vbRERE9ObT611y1atXh7GxMe7du6dUfu/evRInVrSzs9OqflGydOvWLezfv19jL5CnpycKCgpw8+ZNtcunTZuG9PR08XH79m0Ne0dERERvCr0mTFKpFB4eHjh48KBYplAocPDgQbRu3VrtOq1bt1aqDwD79+9Xql+ULCUmJuKmAD9pAAAgAElEQVTAgQOwtrbWGMuFCxdgZGSk9s48ADA1NRUvv/EyHBER0dtF75fkwsLCEBwcjObNm6Nly5aIjIxEdnY2Bg8eDAAICgpCrVq1EBERAQAYP348vLy8sGTJEvj6+mLz5s04d+4c1q1bB+B5stSvXz/ExcVh9+7dKCwsFMc3WVlZQSqVIjY2FqdPn0anTp1QpUoVxMbGYuLEifjoo49QrVo1/bwQREREZLD0njAFBATgwYMHmDVrFlJTU+Hu7o6YmBhxYHdycrLSPAlt2rTBpk2bMHPmTEyfPh0NGjTAzp074erqCgC4c+cOdu3aBQBwd3dX2tbhw4fRsWNHmJqaYvPmzZg9ezby8vLg6OiIiRMnqtx9R0RERAQYwMSVr6uMjAxYWloiPT2dl+eIiIheE2X9+20QP41CREREZMiYMBERERFpwISJiIiISAMmTEREREQaMGEiIiIi0oAJExEREZEGTJiIiIiINND7xJVERETFZWVlISkpCTk5OUhJSRHLa9asCTMzMzg6OkIul+sxQnobMWEiIiKDkpSUhAkTJpS4PDIyEm5ubq8wIiJekiMiIiLSiAkTERERkQa8JEdERAbF0dERkZGRuHHjBpYtWyaWh4aGwsnJCY6OjnqMjt5WTJiIiMigyOVytWOUnJycOHaJ9IaX5IiIiIg0YMJEREREpAEvyRERveWOdvDSdwhqJUsAVPrvz9SFsWORJugvnpJ4HTuq7xDoFWAPExEREZEGTJiIiIiINGDCRERERKQBEyYiIiIiDTjom4iIDEougPsS4N4L5fcAQALUEADZqw+L3nJMmIiIyKDclwAbKqn+efr9/8pCCgpQ1wDvlqM3Gy/JEREREWnAhImIiIhIA16SIyIig1JDeH7ZLR/A42Ll1QBI/2850avGhImIiAyKDOAYJTI4vCRHREREpAETJiIiIiINmDARERERacCEiYiIiEgDJkxEREREGjBhIiIiItKACRMRERGRBkyYiIiIiDRgwkRERESkARMmIiIiIg2YMBERERFpwISJiIiISAMmTEREREQaMGEiIiIi0oAJExEREZEGTJiIiIiINGDCRERERKQBEyYiIiIiDZgwEREREWnAhImIiIhIAyZMRERERBowYSIiIiLSgAkTERERkQZMmIiIiIg0YMJEREREpAETJiIiIiINmDARERERacCEiYiIiEgDJkxEREREGjBhIiIiItKACRMRERGRBkyYiIiIiDRgwkRERESkARMmIiIiIg2YMBERERFpwISJiIiISAMmTEREREQaGETCtHLlStSrVw8ymQyenp44c+ZMqfW3bt0KFxcXyGQyuLm5Yc+ePeKyZ8+eYcqUKXBzc4O5uTns7e0RFBSEu3fvKrWRlpaGQYMGwcLCAlWrVsXQoUORlZVVIftHRERErze9J0xbtmxBWFgYwsPDERcXh2bNmsHHxwf3799XW//UqVMIDAzE0KFDER8fDz8/P/j5+eHSpUsAgKdPnyIuLg6ff/454uLisH37dly9ehU9e/ZUamfQoEH466+/sH//fuzevRvHjh3D8OHDK3x/iYiI6PUjEQRB0GcAnp6eaNGiBVasWAEAUCgUqFOnDsaNG4epU6eq1A8ICEB2djZ2794tlrVq1Qru7u5Ys2aN2m2cPXsWLVu2xK1bt1C3bl38/fffaNy4Mc6ePYvmzZsDAGJiYtC9e3f8+++/sLe31xh3RkYGLC0tkZ6eDgsLi7LsOhGRQTjawUvfIbzWvI4d1XcIpIOy/v3Waw9Tfn4+zp8/D29vb7HMyMgI3t7eiI2NVbtObGysUn0A8PHxKbE+AKSnp0MikaBq1apiG1WrVhWTJQDw9vaGkZERTp8+rbaNvLw8ZGRkKD2IiIjo7aDXhOnhw4coLCyEra2tUrmtrS1SU1PVrpOamqpT/dzcXEyZMgWBgYFiJpmamooaNWoo1atUqRKsrKxKbCciIgKWlpbio06dOlrtIxEREb3+9D6GqSI9e/YM/fv3hyAIWL169Uu1NW3aNKSnp4uP27dvl1OUREREZOgq6XPj1atXh7GxMe7du6dUfu/ePdjZ2aldx87OTqv6RcnSrVu3cOjQIaXrlHZ2diqDygsKCpCWllbidk1NTWFqaqr1vhEREdGbQ689TFKpFB4eHjh48KBYplAocPDgQbRu3VrtOq1bt1aqDwD79+9Xql+ULCUmJuLAgQOwtrZWaePJkyc4f/68WHbo0CEoFAp4enqWx64RERHRG0SvPUwAEBYWhuDgYDRv3hwtW7ZEZGQksrOzMXjwYABAUFAQatWqhYiICADA+PHj4eXlhSVLlsDX1xebN2/GuXPnsG7dOgDPk6V+/fohLi4Ou3fvRmFhoTguycrKClKpFI0aNcIHH3yAYcOGYc2aNXj27BnGjh2LAQMGaHWHHBEREb1d9J4wBQQE4MGDB5g1axZSU1Ph7u6OmJgYcWB3cnIyjIz+6whr06YNNm3ahJkzZ2L69Olo0KABdu7cCVdXVwDAnTt3sGvXLgCAu7u70rYOHz6Mjh07AgCio6MxduxYdOnSBUZGRujbty+WLVv2CvaYiIiIXjd6n4fpdcV5mIjoTcF5mF4O52F6vbyW8zARERERvQ6YMBERERFpwISJiIiISAMmTEREREQaMGEiIiIi0oAJExEREZEGTJiIiIiINGDCRERERKQBEyYiIiIiDZgwEREREWnAhImIiIhIAyZMRERERBowYSIiIiLSgAkTERERkQZMmIiIiIg0YMJEREREpAETJiIiIiINmDARERERacCEiYiIiEgDJkxEREREGjBhIiIiItKACRMRERGRBkyYiIiIiDRgwkRERESkARMmIiIiIg2YMBERERFpUEmbSsuWLdO54cGDB6NKlSo6r0dERERkaLRKmCZMmIDatWvD2NhYq0Zv376NHj16MGEiIiKiN4JWCRMAnDt3DjVq1NCqLhMlIiIiepNoNYYpPDwccrlc60anT58OKyurMgdFREREZEgkgiAI+g7idZSRkQFLS0ukp6fDwsJC3+EQEZXZ0Q5e+g7hteZ17Ki+QyAdlPXvt853ySUlJSExMVGlPDExETdv3tS1OSIiIiKDp3PCFBISglOnTqmUnz59GiEhIeURExEREZFB0Tlhio+PR9u2bVXKW7VqhQsXLpRLUERERESGROeESSKRIDMzU6U8PT0dhYWF5RIUERERkSHROWHq0KEDIiIilJKjwsJCREREoF27duUaHBEREZEh0HoepiILFy5Ehw4d0LBhQ7Rv3x4AcPz4cWRkZODQoUPlHiARERGRvuncw9S4cWMkJCSgf//+uH//PjIzMxEUFIQrV67A1dW1ImIkIiIi0iude5gAwN7eHvPnzy/vWIiIiIgMks49TMDzS3AfffQR2rRpgzt37gAANm7ciBMnTpRrcERERESGQOeE6eeff4aPjw/MzMwQFxeHvLw8AM/vkmOvExEREb2JdE6Y5s2bhzVr1mD9+vUwMTERy9u2bYu4uLhyDY6IiIjIEOicMF29ehUdOnRQKbe0tMSTJ0/KJSgiIiIiQ6JzwmRnZ4dr166plJ84cQJOTk7lEhQRERGRIdE5YRo2bBjGjx+P06dPQyKR4O7du4iOjsakSZMwatSoioiRiIiISK90nlZg6tSpUCgU6NKlC54+fYoOHTrA1NQUkyZNwrhx4yoiRiIiIiK90jlhkkgkmDFjBj777DNcu3YNWVlZaNy4MeRyeUXER0RERKR3ZZqHCQCkUikaN24MFxcXHDhwAH///Xd5xkVERERkMHROmPr3748VK1YAAHJyctCiRQv0798fTZs2xc8//1zuARIRERHpm84J07Fjx8Qf3d2xYwcUCgWePHmCZcuWYd68eeUeIBEREZG+6Zwwpaenw8rKCgAQExODvn37onLlyvD19UViYmK5B0hERESkbzonTHXq1EFsbCyys7MRExODrl27AgAeP34MmUxW7gESERER6ZvOd8lNmDABgwYNglwuh4ODAzp27Ajg+aU6Nze38o6PiIiISO90TphGjx4NT09PJCcn4/3334eR0fNOKicnJ45hIiIiojeSzgkTAHh4eMDDw0OpzNfXt1wCIiIiIjI0Wo1hCgsLQ3Z2ttaNTps2DWlpaWUOioiIiMiQaJUwffPNN3j69KnWja5cuRJPnjwpc1BEREREhkSrS3KCIOCdd96BRCLRqlFdeqOIiIiIDJ1WCVNUVJTODdva2uq8DhEREZEh0iphCg4Orug4iIiIiAxWmX98l4iIiOhtwYSJiIiISAO9J0wrV65EvXr1IJPJ4OnpiTNnzpRaf+vWrXBxcYFMJoObmxv27NmjtHz79u3o2rUrrK2tIZFIcOHCBZU2OnbsCIlEovQYOXJkue4XERERvTn0mjBt2bIFYWFhCA8PR1xcHJo1awYfHx/cv39fbf1Tp04hMDAQQ4cORXx8PPz8/ODn54dLly6JdbKzs9GuXTssXLiw1G0PGzYMKSkp4mPRokXlum9ERET05pAIgiCUZcVr167h+vXr6NChA8zMzCAIgtbTDhTx9PREixYtsGLFCgCAQqFAnTp1MG7cOEydOlWlfkBAALKzs7F7926xrFWrVnB3d8eaNWuU6t68eROOjo6Ij4+Hu7u70rKOHTvC3d0dkZGROsVbXEZGBiwtLZGeng4LC4syt0NEpG9HO3jpO4TXmtexo/oOgXRQ1r/fOvcwPXr0CN7e3njnnXfQvXt3pKSkAACGDh2KTz/9VOt28vPzcf78eXh7e/8XjJERvL29ERsbq3ad2NhYpfoA4OPjU2L90kRHR6N69epwdXXFtGnTdJqYk4iIiN4uOidMEydORKVKlZCcnIzKlSuL5QEBAYiJidG6nYcPH6KwsFBlviZbW1ukpqaqXSc1NVWn+iUZOHAgfvrpJxw+fBjTpk3Dxo0b8dFHH5W6Tl5eHjIyMpQeRERE9HbQ+cd39+3bh71796J27dpK5Q0aNMCtW7fKLbCKNHz4cPH/bm5uqFmzJrp06YLr16/D2dlZ7ToRERGYM2fOqwqRiIiIDIjOPUzZ2dlKPUtF0tLSYGpqqnU71atXh7GxMe7du6dUfu/ePdjZ2aldx87OTqf62vL09ATwfFxWSaZNm4b09HTxcfv27ZfaJhEREb0+dE6Y2rdvjx9//FF8LpFIoFAosGjRInTq1EnrdqRSKTw8PHDw4EGxTKFQ4ODBg2jdurXadVq3bq1UHwD2799fYn1tFU09ULNmzRLrmJqawsLCQulBREREbwedL8ktWrQIXbp0wblz55Cfn4/Jkyfjr7/+QlpaGk6ePKlTW2FhYQgODkbz5s3RsmVLREZGIjs7G4MHDwYABAUFoVatWoiIiAAAjB8/Hl5eXliyZAl8fX2xefNmnDt3DuvWrRPbTEtLQ3JyMu7evQsAuHr1KoDnvVN2dna4fv06Nm3ahO7du8Pa2hoJCQmYOHEiOnTogKZNm+r6chAREdFbQOeEydXVFf/88w9WrFiBKlWqICsrC3369MGYMWNK7aFRJyAgAA8ePMCsWbOQmpoKd3d3xMTEiAO7k5OTYWT0XydYmzZtsGnTJsycORPTp09HgwYNsHPnTri6uop1du3aJSZcADBgwAAAQHh4OGbPng2pVIoDBw6IyVmdOnXQt29fzJw5U9eXgoiIiN4SZZ6H6W3HeZiI6E3BeZheDudher2U9e+3zj1MAJCbm4uEhATcv38fCoVCaVnPnj3L0iQRERGRwdI5YYqJiUFQUBAePnyoskwikaCwsLBcAiMiIiIyFDrfJTdu3Dj4+/sjJSUFCoVC6cFkiYiIiN5EOidM9+7dQ1hYmMqM20RERERvKp0Tpn79+uHIkSMVEAoRERGRYdJ5DNOKFSvg7++P48ePw83NDSYmJkrLQ0NDyy04IiIiIkOgc8L0v//9D/v27YNMJsORI0cgkUjEZRKJhAkTERERvXF0TphmzJiBOXPmYOrUqUqTShIRERG9qXTOePLz8xEQEMBkiYiIiN4aOmc9wcHB2LJlS0XEQkRERGSQdL4kV1hYiEWLFmHv3r1o2rSpyqDvpUuXlltwRERERIZA54Tp4sWLePfddwEAly5dUlpWfAA4ERER0ZtC54Tp8OHDFREHERERkcHiyG0iIiIiDbTqYerTpw82bNgACwsL9OnTp9S627dvL5fAiIiIiAyFVgmTpaWlOD7JwsKCY5WI6I2TlZWFpKQk5OTkICUlRSyvWbMmzMzM4OjoCLlcrscIiUiftEqYoqKixP9v2LChomIhItKbpKQkTJgwocTlkZGRcHNze4UREZEh0XkMU+fOnfHkyROV8oyMDHTu3LlcgiIiIiIyJDonTEeOHEF+fr5KeW5uLo4fP14uQREREREZEq2nFUhISBD/f/nyZaSmporPCwsLERMTg1q1apVvdEREr4ijoyMiIyNx48YNLFu2TCwPDQ2Fk5MTHB0d9RgdEemb1gmTu7s7JBIJJBKJ2ktvZmZmWL58ebkGR0T0qsjlcrVjlJycnDh2iYi0T5iSkpIgCAKcnJxw5swZ2NjYiMukUilq1KgBY2PjCgmSiN48bZe31XcIakkeSWAKU/H5qJ9HQTgi6DEiVSfHndR3CERvHa0TJgcHBwCAQqGosGCIiIiIDJHOP40CAImJiTh8+DDu37+vkkDNmjWrXAIjInqlngGSDAkk6crzzBU9FywEwETdikT0NtA5YVq/fj1GjRqF6tWrw87OTmkSS4lEwoSJiF5LkgwJTI+bqpRLE6QAgLz2eRCsDevSHBG9OjonTPPmzcOXX36JKVOmVEQ8RERERAZH53mYHj9+DH9//4qIhYiIiMgg6dzD5O/vj3379mHkyJEVEQ8RkV4IFgLy2ucBBYAk+7+hBoK5AFT6vzFMRPTW0jlhql+/Pj7//HP88ccfcHNzg4mJ8ijI0NDQcguOiOiVMYE4RkkAkyMiUqZzwrRu3TrI5XIcPXoUR48eVVomkUiYMBEREdEbR+eEKSkpqSLiICIiIjJYOg/6JiIiInrb6NzDNGTIkFKXf//992UOhoiIiMgQ6ZwwPX78WOn5s2fPcOnSJTx58kTtj/ISERHR6ykrKwtJSUnIyclBSkqKWF6zZk2YmZnB0dERcrlcjxG+OjonTDt27FApUygUGDVqFJydncslKCIiItK/pKQkTJgwocTlkZGRcHNze4UR6U+5jGEyMjJCWFgYvv766/JojoiIiMiglNug7+vXr6OgoKC8miMiIiIyGDpfkgsLC1N6LggCUlJS8NtvvyE4OLjcAiMiIiL9cnR0RGRkJG7cuIFly5aJ5aGhoXBycoKjo6Meo3u1dE6Y4uPjlZ4bGRnBxsYGS5Ys0XgHHREREb0+5HK52jFKTk5Ob83YpSI6JUyCIOCHH36AjY0NzMzMKiomIiKit9KKT3/VdwhKnhXmIT3nIdJzHiqVf7/4F1ianYSlWXWYGJvqKTpVY5d8WGFt6zSGSRAE1K9fH//++29FxUNEREQGIj3nIY5f24qEO4eVyhPuHMbxa1tVEqk3mU4Jk5GRERo0aIBHjx5VVDxEREREBkfnu+QWLFiAzz77DJcuXaqIeIiIiIgMjs6DvoOCgvD06VM0a9YMUqlUZSxTWlpauQVHRERE+mNpVh3t6/ujUPEMWXnpYrnc1BLGRiawNKuux+heLZ0TpsjIyIqIg4iIiAyMibEpqstrAQBs9RyLvumcMHGuJSIiInrblNtM30RERERvKiZMRERERBowYSIiIiLSgAkTERERkQZlTpiuXbuGvXv3IicnB8DzWcCJiIiI3kQ6J0yPHj2Ct7c33nnnHXTv3h0pKSkAgKFDh+LTTz8t9wCJiIiI9E3nhGnixImoVKkSkpOTUblyZbE8ICAAMTEx5RocERERkSHQeR6mffv2Ye/evahdu7ZSeYMGDXDr1q1yC4yIiIjIUOjcw5Sdna3Us1QkLS0Npqam5RIUERERkSHROWFq3749fvzxR/G5RCKBQqHAokWL0KlTp3INjoiIiMgQ6HxJbtGiRejSpQvOnTuH/Px8TJ48GX/99RfS0tJw8uTJioiRiIiISK907mFydXXFP//8g3bt2qFXr17Izs5Gnz59EB8fD2dn54qIkYiIiEivdO5hAgBLS0vMmDGjvGMhIiIiMkg6J0wJCQlqyyUSCWQyGerWrcvB30RERPRG0Tlhcnd3h0QiAfDf7N5FzwHAxMQEAQEBWLt2LWQyWTmFSfRmysrKQlJSEnJycsRJYAGgZs2aMDMzg6OjI+RyuR4jJCIioAwJ044dOzBlyhR89tlnaNmyJQDgzJkzWLJkCcLDw1FQUICpU6di5syZ+Oqrr8o9YKI3SVJSEiZMmFDi8sjISLi5ub3CiIiISB2dE6Yvv/wS33zzDXx8fMQyNzc31K5dG59//jnOnDkDc3NzfPrpp0yYiIiI6I2g811yFy9ehIODg0q5g4MDLl68COD5ZbvilxdKs3LlStSrVw8ymQyenp44c+ZMqfW3bt0KFxcXyGQyuLm5Yc+ePUrLt2/fjq5du8La2hoSiQQXLlxQaSM3NxdjxoyBtbU15HI5+vbti3v37mkVLxEREb19dE6YXFxcsGDBAuTn54tlz549w4IFC+Di4gIAuHPnDmxtbTW2tWXLFoSFhSE8PBxxcXFo1qwZfHx8cP/+fbX1T506hcDAQAwdOhTx8fHw8/ODn58fLl26JNbJzs5Gu3btsHDhwhK3O3HiRPz666/YunUrjh49irt376JPnz7avgRE5cbR0RGRkZEIDQ1VKg8NDUVkZCQcHR31FBkRERWn8yW5lStXomfPnqhduzaaNm0K4HmvU2FhIXbv3g0AuHHjBkaPHq2xraVLl2LYsGEYPHgwAGDNmjX47bff8P3332Pq1Kkq9b/55ht88MEH+OyzzwAAc+fOxf79+7FixQqsWbMGAPDxxx8DAG7evKl2m+np6fjuu++wadMmdO7cGQAQFRWFRo0a4Y8//kCrVq10eDWIXo5cLlc7RsnJyYljl4iIDIjOCVObNm2QlJSE6Oho/PPPPwAAf39/DBw4EFWqVAHwX9JSmvz8fJw/fx7Tpk0Ty4yMjODt7Y3Y2Fi168TGxiIsLEypzMfHBzt37tQ6/vPnz+PZs2fw9vYWy1xcXFC3bl3ExsaWmDDl5eUhLy9PfJ6RkaH1NslwJH9hmEnIvXQTANX+e74hGJaWz/QXkBp1Z13UdwhERHpTpokrq1SpgpEjR77Uhh8+fIjCwkKVS3e2tra4cuWK2nVSU1PV1k9NTdV6u6mpqZBKpahatapO7URERGDOnDlab4dIG08LJPg3uxJuZxkrlRc9r21egMqVBH2ERkRExZQpYQKAy5cvIzk5WWksEwD07NnzpYMyRNOmTVPq3crIyECdOnX0GBG9Cf7NroSIC9VUyn+6ZgEAmOb+GO8YWE8TEdHbSOeE6caNG+jduzcuXrwIiUSiMnllYWGhVu1Ur14dxsbGKnen3bt3D3Z2dmrXsbOz06l+SW3k5+fjyZMnSr1MmtoxNTXlDOZERERvKZ3vkhs/fjwcHR1x//59VK5cGX/99ReOHTuG5s2b48iRI1q3I5VK4eHhgYMHD4plCoUCBw8eROvWrdWu07p1a6X6ALB///4S66vj4eEBExMTpXauXr2K5ORkndohIiKit4fOPUyxsbE4dOgQqlevDiMjIxgZGaFdu3aIiIhAaGgo4uPjtW4rLCwMwcHBaN68OVq2bInIyEhkZ2eLd80FBQWhVq1aiIiIAPA8WfPy8sKSJUvg6+uLzZs349y5c1i3bp3YZlpaGpKTk3H37l0Az5Mh4HnPkp2dHSwtLTF06FCEhYXBysoKFhYWGDduHFq3bs075OiVq21egGnuj5FbCDzI+W8ck41ZIWTGz5cTEZH+6ZwwFRYWinfDVa9eHXfv3kXDhg3h4OAgJifaCggIwIMHDzBr1iykpqbC3d0dMTEx4sDu5ORkGBn91wnWpk0bbNq0CTNnzsT06dPRoEED7Ny5E66urmKdXbt2iQkXAAwYMAAAEB4ejtmzZwMAvv76axgZGaFv377Iy8uDj48PVq1apetLQfTSKlcSio1R4lglIiJDpXPC5Orqij///BOOjo7w9PTEokWLIJVKsW7dOjg5OekcwNixYzF27Fi1y9Rd4vP394e/v3+J7YWEhCAkJKTUbcpkMqxcuRIrV67UJVQiIiJ6S+mcMM2cORPZ2dkAgC+++AI9evRA+/btYW1tjS1btpR7gERERET6pnPCVPxHd+vXr48rV64gLS0N1apVE++UIyIiInqT6HSX3LNnz1CpUiWl324DACsrKyZLRERE9MbSKWEyMTFB3bp1tZ5riYiIiOhNoPM8TDNmzMD06dORlpZWEfEQERERGRydxzCtWLEC165dg729PRwcHGBubq60PC4urtyCIyIiIjIEOidMfn5+FREHERERkcHSOWEKDw+viDiIiIiIDJbOY5gA4MmTJ/j2228xbdo0cSxTXFwc7ty5U67BERERERkCnXuYEhIS4O3tDUtLS9y8eRPDhg2DlZUVtm/fjuTkZPz4448VEScRERGR3ujcwxQWFoaQkBAkJiZCJpOJ5d27d8exY8fKNTgiIiIiQ6BzwnT27FmMGDFCpbxWrVpITU0tl6CIiIiIDInOCZOpqSkyMjJUyv/55x/Y2NiUS1BEREREhkTnhKlnz5744osv8OzZMwCARCJBcnIypkyZgr59+5Z7gERERET6pnPCtGTJEmRlZaFGjRrIycmBl5cX6tevjypVquDLL7+siBiJiIiI9Ernu+QsLS2xf/9+nDhxAgkJCcjKysJ7770Hb2/vioiPiIiISO90Tphu376NOnXqoF27dmjXrl1FxERERERkUHS+JFevXj14eXlh/fr1ePz4cUXERERERGRQdE6Yzp07h5YtW+KLL75AzdE0wWYAACAASURBVJo14efnh23btiEvL68i4iMiIiLSO50TpnfffReLFy9GcnIyfv/9d9jY2GD48OGwtbXFkCFDKiJGIiIiIr0q02/JAc+nE+jUqRPWr1+PAwcOwNHRET/88EN5xkZERERkEMqcMP37779YtGgR3N3d0bJlS8jlcqxcubI8YyMiIiIyCDrfJbd27Vps2rQJJ0+ehIuLCwYNGoRffvkFDg4OFREfERERkd7pnDDNmzcPgYGBWLZsGZo1a1YRMREREREZFJ0TpuTkZEgkErXLLl26BFdX15cOioiIiMiQ6DyG6cVkKTMzE+vWrUPLli3Z40RERERvpDIP+j527BiCg4NRs2ZNfPXVV+jcuTP++OOP8oyNiIiIyCDodEkuNTUVGzZswHfffYeMjAz0798feXl52LlzJxo3blxRMRIRERHpldY9TB9++CEaNmyIhIQEREZG4u7du1i+fHlFxkZERERkELTuYfr9998RGhqKUaNGoUGDBhUZExEREZFB0bqH6cSJE8jMzISHhwc8PT2xYsUKPHz4sCJjIyIiIjIIWidMrVq1wvr165GSkoIRI0Zg8+bNsLe3h0KhwP79+5GZmVmRcRIRERHpjc53yZmbm2PIkCE4ceIELl68iE8//RQLFixAjRo10LNnz4qIkYiIiEivyjytAAA0bNgQixYtwr///ov//e9/5RUTERERkUF5qYSpiLGxMfz8/LBr167yaI6IiIjIoJRLwkRERET0JmPCRERERKQBEyYiIiIiDZgwEREREWnAhImIiIhIAyZMRERERBowYSIiIiLSgAkTERERkQZMmIiIiIg0YMJEREREpAETJiIiIiINmDARERERacCEiYiIiEgDJkxEREREGjBhIiIiItKACRMRERGRBkyYiIiIiDRgwkRERESkARMmIiIiIg2YMBERERFpwITp/7d353FR1fv/wF8DCAy7gA5gCnhFGBMXtEjShhQFtwtZaWaChsvVXBCXpC/gQl5cck2L3AjKwmyxbiaWJK4EAqKpiGh4tRuIaywKwvD5/eGPU6ODI4oOyOv5ePDQ+Zz3+Zz35yzwnnPOnCEiIiLSgQUTERERkQ4smIiIiIh0YMFEREREpAMLJiIiIiIdWDARERER6cCCiYiIiEiHRlEwrVu3Di4uLjA1NYW3tzcyMjLuGb9t2zZ4eHjA1NQUnp6e+OGHHzSmCyEQHR0NR0dHyOVy+Pn5IT8/XyPGxcUFMplM42fx4sUNPjYiIiJq+vReMG3duhXh4eGYN28esrOz0bVrV/j7+6O4uFhr/KFDhzBy5EiEhobiyJEjCAoKQlBQEI4fPy7FLF26FGvWrEFcXBzS09Nhbm4Of39/VFRUaPS1cOFCFBYWSj9Tp059pGMlIiKipknvBdOKFSswfvx4jB07Fp06dUJcXBzMzMywefNmrfGrV69GQEAAZs+eDaVSiZiYGHh5eWHt2rUAbp9dWrVqFSIjIxEYGIguXbogMTERf/zxB7Zv367Rl6WlJRwcHKQfc3PzRz5eIiIianr0WjDdunULWVlZ8PPzk9oMDAzg5+eHtLQ0rfOkpaVpxAOAv7+/FF9QUICioiKNGGtra3h7e9/V5+LFi2FnZ4fu3btj2bJlqK6urjPXyspKlJSUaPwQERFR82Ckz4VfvnwZarUaCoVCo12hUODUqVNa5ykqKtIaX1RUJE2vbasrBgCmTZsGLy8v2Nra4tChQ4iIiEBhYSFWrFihdbmxsbFYsGBB/QZIRERETwS9Fkz6FB4eLv2/S5cuMDY2xsSJExEbGwsTE5O74iMiIjTmKSkpQdu2bR9LrkRERKRfer0kZ29vD0NDQ1y8eFGj/eLFi3BwcNA6j4ODwz3ja/+tT58A4O3tjerqapw7d07rdBMTE1hZWWn8EBERUfOg14LJ2NgYPXr0QEpKitRWU1ODlJQU9OrVS+s8vXr10ogHgJ9++kmKd3V1hYODg0ZMSUkJ0tPT6+wTAHJycmBgYIDWrVs/zJCIiIjoCaT3S3Lh4eEICQlBz5498eyzz2LVqlUoLy/H2LFjAQDBwcFo06YNYmNjAQDTp0+HSqXC8uXLMXjwYCQlJSEzMxPr168HAMhkMoSFheHdd9+Fm5sbXF1dERUVBScnJwQFBQG4feN4eno6XnzxRVhaWiItLQ0zZszAG2+8gZYtW+pnRRAREVGjpfeCacSIEbh06RKio6NRVFSEbt26ITk5Wbpp+/z58zAw+OtEmI+PDz777DNERkbinXfegZubG7Zv347OnTtLMXPmzEF5eTkmTJiA69evo3fv3khOToapqSmA25fXkpKSMH/+fFRWVsLV1RUzZszQuEeJiIiIqJZMCCH0nURTVFJSAmtra/z555+8n6kJOb/QU98pNFnton9t0P6ef//5Bu2vOTk49WCD9rf3BVWD9tfcqPbtbbC+1s78T4P11RxNWT5UZ8yD/v3W+4MriYiIiBo7FkxEREREOrBgIiIiItKBBRMRERGRDiyYiIiIiHRgwURERESkAwsmIiIiIh1YMBERERHpwIKJiIiISAcWTEREREQ6sGAiIiIi0oEFExEREZEOLJiIiIiIdGDBRERERKQDCyYiIiIiHVgwEREREenAgomIiIhIBxZMRERERDqwYCIiIiLSgQUTERERkQ4smIiIiIh0YMFEREREpAMLJiIiIiIdWDARERER6cCCiYiIiEgHFkxEREREOrBgIiIiItKBBRMRERGRDiyYiIiIiHRgwURERESkAwsmIiIiIh1YMBERERHpwIKJiIiISAcWTEREREQ6sGAiIiIi0oEFExEREZEORvpOgB6vsrIyFBQU4ObNmygsLJTaHR0dIZfL4erqCgsLCz1mSERE1PiwYGpmCgoKEBYWVuf0VatWwdPT8zFmRERE1Pjxklwzc/PmzYeaTkRE1BzxDNNj0GN2or5TkBhfOgWze0yf/sF23Np26rHlo0vWsmB9p0BERMQzTM2N2vje9yfpmk5ERNQcsWBqbgxbPNx0IiKiZoiX5JoZtbwlSjsGAOpqGN4q/avd2BIwNIJa3lKP2RERETVOLJiaG0NjqC0UAAC1nlMhIiJqKnhJjoiIiEgHFkxEREREOrBgIiIiItKBBRMRERGRDiyYiIiIiHRgwURERESkAwsmIiIiIh1YMBERERHpwIKJiIiISAcWTEREREQ6sGAiIiIi0oEFExEREZEOLJiIiIiIdGDBRERERKQDCyYiIiIiHVgwEREREenAgomIiIhIBxZMRERERDo0ioJp3bp1cHFxgampKby9vZGRkXHP+G3btsHDwwOmpqbw9PTEDz/8oDFdCIHo6Gg4OjpCLpfDz88P+fn5GjFXr17FqFGjYGVlBRsbG4SGhqKsrKzBx0ZERERNn94Lpq1btyI8PBzz5s1DdnY2unbtCn9/fxQXF2uNP3ToEEaOHInQ0FAcOXIEQUFBCAoKwvHjx6WYpUuXYs2aNYiLi0N6ejrMzc3h7++PiooKKWbUqFE4ceIEfvrpJ3z//ffYt28fJkyY8MjHS0RERE2P3gumFStWYPz48Rg7diw6deqEuLg4mJmZYfPmzVrjV69ejYCAAMyePRtKpRIxMTHw8vLC2rVrAdw+u7Rq1SpERkYiMDAQXbp0QWJiIv744w9s374dAJCbm4vk5GRs3LgR3t7e6N27N95//30kJSXhjz/+eGxjJyIioqZBrwXTrVu3kJWVBT8/P6nNwMAAfn5+SEtL0zpPWlqaRjwA+Pv7S/EFBQUoKirSiLG2toa3t7cUk5aWBhsbG/Ts2VOK8fPzg4GBAdLT0xtsfERERPRkMNLnwi9fvgy1Wg2FQqHRrlAocOrUKa3zFBUVaY0vKiqSpte23SumdevWGtONjIxga2srxdypsrISlZWV0us///wTAFBSUnLPMQKAuvKmzhjS7n7Wb32UVqgbtL/mpKG3RfXN6gbtrzlp6G1RXs1t8TAacnvcrLzRYH01R/ezLWpjhBD16luvBVNTEhsbiwULFtzV3rZtWz1k03xYv/8vfadAtWKt9Z0B/X/Wb3NbNCrW3B6NxZx19x9bWloK63psO70WTPb29jA0NMTFixc12i9evAgHBwet8zg4ONwzvvbfixcvwtHRUSOmW7duUsydN5VXV1fj6tWrdS43IiIC4eHh0uuamhpcvXoVdnZ2kMlk9zPcRqekpARt27bFhQsXYGVlpe90mj1uj8aD26Lx4LZoPJ6UbSGEQGlpKZycnOo1n14LJmNjY/To0QMpKSkICgoCcLsQSUlJwZQpU7TO06tXL6SkpCAsLExq++mnn9CrVy8AgKurKxwcHJCSkiIVSCUlJUhPT8ekSZOkPq5fv46srCz06NEDAPDzzz+jpqYG3t7eWpdrYmICExMTjTYbG5uHGH3jYWVl1aR3/icNt0fjwW3ReHBbNB5Pwraoz5mlWnq/JBceHo6QkBD07NkTzz77LFatWoXy8nKMHTsWABAcHIw2bdogNjYWADB9+nSoVCosX74cgwcPRlJSEjIzM7F+/XoAgEwmQ1hYGN599124ubnB1dUVUVFRcHJykooypVKJgIAAjB8/HnFxcaiqqsKUKVPw2muv1bviJCIioief3gumESNG4NKlS4iOjkZRURG6deuG5ORk6abt8+fPw8Dgrw/z+fj44LPPPkNkZCTeeecduLm5Yfv27ejcubMUM2fOHJSXl2PChAm4fv06evfujeTkZJiamkoxW7ZswZQpU9CvXz8YGBjg5Zdfxpo1ax7fwImIiKjJkIn63iZOT4zKykrExsYiIiLirsuN9PhxezQe3BaNB7dF49HctwULJiIiIiId9P6kbyIiIqLGjgUTERERkQ4smIiIiIh0YMFERHQPcXFxdT7Qti6vvfYaXnvttUeUEbm4uGDVqlX3HX/u3DnIZDLk5OQ8wqyeLB9//LHOZw2OGTNGelwPAPj6+mo8I/FJo/fHChARNWYhISF4+eWX6zXPRx991KA51BZfSUlJDdpvU3X48GGYm5vfd3zbtm1RWFgIe3v7Bln+uXPn4OrqiiNHjkgPSG6OVq9eXe/vY2vKWDA1IVVVVWjRooVGm1qthkwm03hWFdGT7HEfB3K5HHK5vF7zPMhThOn+tWrVql7xhoaG9T5LSLo1t/2cf2X1KDk5Gb1794aNjQ3s7OwwZMgQnD17FsBfp5C3bt0KlUoFU1NTbNmyRTpN+t1336FTp04wMTHB+fPncfjwYfTv3x/29vawtraGSqVCdna2tKw333wTQ4YM0Vh+VVUVWrdujU2bNmnN7+zZsxg0aBBsbGxgbm4OT09P7N69G4D2yxRJSUkaDwedO3cunnvuOcTFxeGpp56CpaUlpk+fDrVajUWLFkGhUEChUOC9995rkPX5oGpqahAbGwtXV1fI5XJ07doVX375JQAgNTUVMpkMKSkp6NmzJ8zMzODj44O8vDxp/jtPSwNAWFgYfH19pde+vr6YOnUqwsLC0LJlSygUCmzYsEF6qr2lpSU6dOiAnTt33jPXDz74AG5ubjA1NYVCocArr7wiTdN2maJbt26YP3++9Fomk+Gjjz7CkCFDYGZmBqVSibS0NJw5cwa+vr4wNzeHj4+PtB8+Do39OLhzX6/drzdv3ox27drBxsYGo0ePRnl5uRRz5yU5tVqNhQsXwsXFBWZmZujevTu+/fZbjeUcO3YMAwcOhKWlJaysrKBSqXD+/HnMnTsXW7duxdatWyGTySCTyfDLL788+AqvQ1M6Du7c12UyGTZu3IiXXnoJZmZmcHNzw3fffSdN13ZJ7vjx4xg4cCAsLCygUCgwevRoXL58WWN9LF26FB06dICJiQnatWuHRYsWAbj9FVwA0L17d8hkMo0xNmbff/89bGxsoFarAQA5OTmQyWSYO3euFDNu3Di88cYb0utdu3ZBqVTCwsICAQEBKCwslKZp2+Z/V1lZiVmzZqFNmzYwNzeHt7c3UlNTG35gjwkLJj0qLy9HeHg4MjMzkZKSAgMDA7z00kuoqamRYubOnYvp06cjNzcX/v7+AIAbN25gyZIl2LhxI06cOIHWrVujtLQUISEhOHDgAH755Re4ublh0KBBKC0tBXD7IEhOTtbY2b///nvcuHEDI0aM0JrfxIkTYWBggAMHDuDYsWNYtGhRvd9pnzx5Evv27cOPP/6IxMREfPDBBxg8eDCuXbuG/fv3Y8GCBZg9ezaOHj1a39XXYGJjY5GYmIi4uDicOHECM2bMwBtvvIG9e/dKMf/3f/+H5cuXIzMzE0ZGRnjzzTfrvZyEhATY29sjIyMDU6dOxaRJk/Dqq6/Cx8cH2dnZGDBgAEaPHo0bN25onT8zMxPTpk3DwoULkZeXh+TkZLzwwgv1ziMmJgbBwcHIycmBh4cHXn/9dUycOBERERHIzMyEEKLO73J8FBr7caDNyZMn8eOPP2Lnzp345ptvkJycjBUrVtQZP3/+fGzbtg0bN27E8ePHMXnyZAwfPlwqfM6dO4c+ffrA2toaqampyMjIQHBwMKqqqhAZGYnAwEAEBgaisLAQhYWF0ndgNqSmchzUZcGCBRg+fDiOHTuGQYMGYdSoUbh69arW2OvXr6Nv377o3r07MjMzkZycjIsXL2L48OFSTEREBBYvXoyoqCicPHkSn332mfQNFBkZGQCA3bt3o7CwEF9//XW914M+9OnTB6WlpThy5AgAYO/evbC3t9coYvbu3SsVgDdu3MB7772HTz75BPv27cP58+cxa9as+17elClTkJaWhqSkJBw7dgyvvvoqAgICkJ+f35DDenwENRqXLl0SAMSvv/4qCgoKBACxatUqjZj4+HgBQOTk5NyzL7VaLSwtLcV//vMfqa1Tp05iyZIl0uuhQ4eKMWPG1NmHm5ubWLx4sdZpH374oVAoFBptn3/+uTAxMZFev/3228LKykqUl5dLbSqVSnTs2FHU1NRIbc7OzmLlypX3HM+jUlFRIczMzMShQ4c02kNDQ8XIkSPFnj17BACxe/duadqOHTsEAHHz5k0hhBAhISEiMDBQY/7p06cLlUolvVapVKJ3797S6+rqamFubi5Gjx4ttRUWFgoAIi0tTWuuX331lbCyshIlJSVap2tbj127dhXz5s2TXgMQkZGR0uu0tDQBQGzatElq+/zzz4WpqanWZTwOje04uHNf17ZfT506VWN7jxgxQowYMUIIIURpaakwNTUV2dnZGv2OGjVKjB07VgghxIwZM4S7u7uorq7WmsPf+3sUmtJxIMTd+/qd+3VZWZkAIHbu3CmEENJ+dOTIESGEEDExMWLAgAEafV64cEEAEHl5eaKkpESYmJiIDRs2aF3+nf01JV5eXmLZsmVCCCGCgoLEokWLhLGxsSgtLRW///67ACBOnz4tHWNnzpyR5l23bp3GsXDnNlepVGL69OlCCCH++9//CkNDQ/G///1PY/n9+vUTERERj3KIjwzPMOlRfn4+Ro4cifbt28PKygouLi4Abn9/Xq2ePXveNZ+xsTG6dOmi0Xbx4kWMHz8ebm5usLa2hpWVFcrKyjT6GjduHOLj46X4nTt33vMdYlhYGCIjI9GnTx8sWLAAJ06cqPcYO3ToADMzM+m1QqFA586dIZPJNNqKi4vr3XdDOHPmDG7cuIH+/fvDwsJC+klMTNS4LPX39e3o6AgA9c75730YGhrCzs4Onp6eUlvtu9e6+u3fvz+cnZ3Rvn17jB49Glu2bKn3u/A786hd5p15VFRUoKSkpN59P4jGfhxoc+d+7ejoWOd2y8vLQ0VFBfr06aOxj33xxRfSPpaTkwOVSgVDQ8N65dFQmtJxcD/9mpubw8rKqs4+jh49ij179miM1cPDA8DtWxFyc3NRWVmJfv361SuHpkClUiE1NRVCCOzfvx/Dhg2DUqnEgQMHsHfvXjg5OcHNzQ0AYGZmhn/84x/SvPfaz+/066+/Qq1Wo2PHjhrree/evY/1kn9D4k3fejR06FA4Oztjw4YNcHJyQk1NDTp37oxbt25JMdo+CSKXyzUKDuD2J3muXLmC1atXw9nZGSYmJujVq5dGX8HBwZg7dy7S0tJw6NAhuLq6ok+fPnXmN3nyZAwePBg7duzArl27sGjRIqxduxYTJkyAgYHBXZ+OqKqququPO2/OlclkWtv+fvnlcSorKwMA7NixA23atNGYZmJiIh3Yf8+5dt3X5txQ6+LOfu9kaWmJ7OxspKam4scff0R0dDTmz5+Pw4cPw8bG5oHyqF1mffJoaI39ONCmPvtw7T62e/fuuz6lVXvPX30vdTe0pnQc1KW+22To0KFYsmTJXdMcHR3x22+/1WvZTYmvry82b96Mo0ePokWLFvDw8ICvry9SU1Nx7do1qFQqKVbbOr1zG9elrKwMhoaGyMrKuuuNgIWFxcMPRA9YMOnJlStXkJeXhw0bNki/rA8cOPDA/R08eBAffPABBg0aBAC4cOGCxg2MAGBnZ4egoCDEx8cjLS0NY8eO1dmvs7MzJk+ejMmTJ2PGjBnYuHEjJkyYgFatWuHq1auorKyUvoSxKT7j5O83DP/9F0Wt+3kn1KpVKxw/flyjLScn565fNg3ByMgIfn5+8PPzw7x582BjY4Off/4Zw4YNQ6tWrTTuzSkpKUFBQUGD59CQmspx8DA8PT1hZGSECxcu4LnnntMa06VLF3zzzTdQq9VazzIZGxvj5s2bjyzHpnYcPCwvLy989dVXcHFxgZHR3X8G3dzcIJfLkZKSgnHjxt013djYGACkm6ebktr7mFauXClta19fXyxevBjXrl3DzJkzG2Q53bt3h1qtRnFxcb3fkDRWvCSnJy1btoSdnR3Wr1+PM2fO4Oeff0Z4ePgD9+fm5oZPPvkEubm5SE9Px6hRo7S+ax03bhwSEhKQm5uLkJAQjWkrVqyQ/tAAt2/Y++mnn1BQUIDMzEzs27cPSqUSAODj4wMjIyNERkbizJkzSExMxGefffbA+euLpaUlZs2ahRkzZiAhIQFnz55FdnY23n//fSQkJNxXH3379kVmZiYSExORn5+PefPm3fWH40F5eHjgm2++AXD75uQ1a9YgJycH//3vf5GYmIiamhq4u7tLeXzyySfYv38/fv31V4SEhOjtEs/9agrHwcOytbXF9OnTMWXKFHz66ac4e/YssrKysHr1aumYCQsLQ1FREUaNGoXs7Gzk5+fj448/lgoVFxcX5OTkID8/H5cvX0Z1dXWD5Qc0reOgIbz11lu4evUqRo4cicOHD+Ps2bPYtWsXxo4dC7VaDVNTU7z99tuYM2eOdFnyl19+kT5J2bp1a8jlculm8T///LPBcnvUWrZsiS5dumDLli3Szd0vvPACsrOzcfr0aa0F84Po2LEjRo0aheDgYHz99dcoKChARkYGYmNjsWPHjgZZxuPGgklPDAwMkJSUhKysLHTu3BkzZszAsmXLHri/TZs24dq1a/Dy8sLo0aMxbdo0tG7d+q44Pz8/ODo6wt/fH05OThrTiouLNU5FV1VVYeLEiVAqlRg8eDC6dOmC1atXA7h9n0FiYiK+/vpr6d1xVFTUA+evTzExMYiKikJsbCyUSiUCAgKwY8cO6aPDuvj7+yMqKgpz5szBM888g9LSUgQHBzdIbnl5edIvYxsbG3z99dfo27cvlEol4uLi8Pnnn+Ppp58GcPtTPSqVCkOGDMHgwYMRFBSkcf9BY9QUjoOGsHTpUsyZMwcxMTFQKpUYNGgQdu3aJd2vpVAo8PPPP+Py5cvo3bs3evbsiYSEBOnszKRJk9CuXTt0794drVq1QmZmZoPmBzSd46AhODk54eDBg1Cr1RgwYAA8PT0RFhYmXdoGgKioKMycORPR0dFQKpUYMWKEdP+OkZER1qxZg48++ghOTk4IDAxssNweB5VKBbVaLRVMtra26NSpExwcHKQ3YA0hPj4ewcHBmDlzJtzd3REUFITDhw+jXbt2DbaMx0km7veCJD0RysrK0KZNG8THx2PYsGH6TodILx71cfDSSy/Bzs4OGzdubPC+qf7y8vLg4eGB/Px8dOjQQd/pUBPFM0zNRE1NDYqLixETEwMbGxv885//1HdKRI/doz4OqqqqcPz4cWRkZEhn/ki/rl69ii+//BJWVlZo27atvtOhJow3fTcT58+fh6urK5566il8/PHHWm90JHrSPerjICsrC/369YOfnx9CQ0MbtG96MKGhocjKysKHH34ofUCF6EHwkhwRERGRDrwkR0RERKQDCyYiIiIiHVgwEREREenAgomIiIhIBxZMRNSsnDt3DjKZrEl+lU9dHuWYXFxcsGrVqgbvl6ipYcFERACAS5cuSU+UNjExgYODA/z9/XHw4EF9p/bAxowZg6CgII22tm3borCwEJ07d9ZTVg9H25iI6NHjw3iICADw8ssv49atW0hISED79u1x8eJFpKSk4MqVK/pOrUEZGhrCwcFB32kQURPDM0xEhOvXr2P//v1YsmQJXnzxRTg7O+PZZ59FRESE9DRsbZd9rl+/DplMhtTUVABAamoqZDIZdu3ahe7du0Mul6Nv374oLi7Gzp07oVQqYWVlhddffx03btyQ+vH19cXUqVMRFhaGli1bQqFQYMOGDSgvL8fYsWNhaWmJDh06YOfOndI8arUaoaGhcHV1hVwuh7u7u/RdhwAwf/58JCQk4Ntvv4VMJpPy1DaOvXv34tlnn4WJiQkcHR0xd+5cjS+49fX1xbRp0zBnzhzY2trCwcEB8+fPv+c6rT0T9O9//xsKhQI2NjZYuHAhqqurMXv2bNja2uKpp55CfHy8xnwXLlzA8OHDYWNjA1tbWwQGBuLcuXP3HFOt3377DS+++CLMzMzQtWtXpKWlafT91Vdf4emnn4aJiQlcXFywfPlyjenFxcUYOnQo5HI5XF1dsWXLlnuOkahZEUTU7FVVVQkLCwsRFhYmKioqtMYUFBQIAOLI/twAEwAABn1JREFUkSNS27Vr1wQAsWfPHiGEEHv27BEAxHPPPScOHDggsrOzRYcOHYRKpRIDBgwQ2dnZYt++fcLOzk4sXrxY6kelUglLS0sRExMjTp8+LWJiYoShoaEYOHCgWL9+vTh9+rSYNGmSsLOzE+Xl5UIIIW7duiWio6PF4cOHxW+//SY+/fRTYWZmJrZu3SqEEKK0tFQMHz5cBAQEiMLCQlFYWCgqKyvvGsfvv/8uzMzMxOTJk0Vubq745ptvhL29vZg3b55GflZWVmL+/Pni9OnTIiEhQchkMvHjjz/WuU5DQkKEpaWleOutt8SpU6fEpk2bBADh7+8vFi1aJI2zRYsW4sKFC9KYlEqlePPNN8WxY8fEyZMnxeuvvy7c3d1FZWWlzjF5eHiI77//XuTl5YlXXnlFODs7i6qqKiGEEJmZmcLAwEAsXLhQ5OXlifj4eCGXy0V8fLyU88CBA0XXrl1FWlqayMzMFD4+PkIul4uVK1fe555E9ORiwUREQgghvvzyS9GyZUthamoqfHx8REREhDh69Kg0vT4F0+7du6WY2NhYAUCcPXtWaps4caLw9/eXXqtUKtG7d2/pdXV1tTA3NxejR4+W2goLCwUAkZaWVucY3nrrLfHyyy9Lr0NCQkRgYKBGzJ3jeOedd4S7u7uoqamRYtatWycsLCyEWq3Wmp8QQjzzzDPi7bffrjOXkJAQ4ezsLPUhhBDu7u6iT58+d43z888/F0II8cknn9yVS2VlpZDL5WLXrl06x7Rx40ap7cSJEwKAyM3NFUII8frrr4v+/ftrzDd79mzRqVMnIYQQeXl5AoDIyMiQpufm5goALJiIhBC8JEdEAG7fw/THH3/gu+++Q0BAAFJTU+Hl5YWPP/643n116dJF+r9CoYCZmRnat2+v0VZcXFznPIaGhrCzs4Onp6fGPAA05lu3bh169OiBVq1awcLCAuvXr8f58+frlWtubi569eoFmUwmtT3//PMoKyvD77//rjU/AHB0dLxrDHd6+umnYWDw169ZhUKhMabacdb2c/ToUZw5cwaWlpawsLCAhYUFbG1tUVFRgbNnz+ocy99zdHR0BPDX+srNzcXzzz+vEf/8888jPz8farUaubm5MDIyQo8ePaTpHh4esLGx0blcouaAN30TkcTU1BT9+/dH//79ERUVhXHjxmHevHkYM2aM9Idf/O3rJ6uqqrT206JFC+n/MplM43VtW01NTZ3zaJuvtqCpnS8pKQmzZs3C8uXL0atXL1haWmLZsmVIT0+v77Dvy/2M4X7muVc/ZWVl6NGjh9Z7h1q1alWvHO9cX0T0cHiGiYjq1KlTJ5SXlwP46w92YWGhNF2fzzI6ePAgfHx8MHnyZHTv3h0dOnS46yyMsbEx1Gr1PftRKpVIS0vTKAQPHjwIS0tLPPXUU48k97p4eXkhPz8frVu3RocOHTR+rK2tAdzfmLRRKpV3PSLi4MGD6NixIwwNDeHh4YHq6mpkZWVJ0/Py8nD9+vWHGxTRE4IFExHhypUr6Nu3Lz799FMcO3YMBQUF2LZtG5YuXYrAwEAAgFwux3PPPYfFixcjNzcXe/fuRWRkpN5ydnNzQ2ZmJnbt2oXTp08jKioKhw8f1ohxcXHBsWPHkJeXh8uXL2s9IzZ58mRcuHABU6dOxalTp/Dtt99i3rx5CA8P17ic9jiMGjUK9vb2CAwMxP79+1FQUIDU1FRMmzZNujx4P2PSZubMmUhJSUFMTAxOnz6NhIQErF27FrNmzQIAuLu7IyAgABMnTkR6ejqysrIwbtw4yOXyRzZeoqaEBRMRwcLCAt7e3li5ciVeeOEFdO7cGVFRURg/fjzWrl0rxW3evBnV1dXo0aMHwsLC8O677+ot54kTJ2LYsGEYMWIEvL29ceXKFUyePFkjZvz48XB3d0fPnj3RqlUrrQ/hbNOmDX744QdkZGSga9eu+Ne//oXQ0FC9FINmZmbYt28f2rVrh2HDhkGpVCI0NBQVFRWwsrICcH9j0sbLywtffPEFkpKS0LlzZ0RHR2PhwoUYM2aMFBMfHw8nJyeoVCoMGzYMEyZMQOvWrR/FUImaHJn4+3loIiIiIroLzzARERER6cCCiYiIiEgHFkxEREREOrBgIiIiItKBBRMRERGRDiyYiIiIiHRgwURERESkAwsmIiIiIh1YMBERERHpwIKJiIiISAcWTEREREQ6sGAiIiIi0uH/AYvSP2Vg6RveAAAAAElFTkSuQmCC", "text/plain": [ - "<matplotlib.figure.Figure object at 0x7f0d5922a400>" + "#<Matplotlib::Figure:0x007fd93f02a650 @__pyptr__=#<PyCall::PyPtr:0x007fd93f02a6a0 type=Figure addr=0x00000117192358>>" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ - "<matplotlib.text.Text object at 0x7f0d59222828>" + "#<Object:0x007fd93f020088 @__pyptr__=#<PyCall::PyPtr:0x007fd93f020010 type=Text addr=0x000001176abe10>>" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sns.barplot.(x: 'method', y: 'runtime', data: df, errwidth: 2.5, capsize: 0.04)\n", + "sns.barplot(x: 'method', y: 'runtime', data: df, errwidth: 2.5, capsize: 0.04)\n", "plt = Matplotlib::Pyplot\n", "plt.title(\"Array and Enumerable summation benchmark (#{trials} trials)\")\n", "plt.xlabel(\"Summation method\")\n", "plt.ylabel(\"Average runtime [sec]\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Ruby 2.4.0", + "display_name": "Ruby 2.4.1", "language": "ruby", "name": "ruby" }, "language_info": { "file_extension": ".rb", "mimetype": "application/x-ruby", "name": "ruby", - "version": "2.4.0" + "version": "2.4.1" } }, "nbformat": 4, "nbformat_minor": 2 }