Commit c26ea990 authored by Andreas Schmidt's avatar Andreas Schmidt
Browse files

Add a sample notebook. Refactor regression out.

parent 034268b7
......@@ -2,37 +2,53 @@
``` python
from xlap.parse import evaluate, parse_config
import xlap.analyse.jitter as jitter
from xlap.analyse.regress import linear as linear_regression
from xlap.analyse.trace import trace
from xlap.analyse.common import extract_durations
```
%% Cell type:code id: tags:
``` python
config = parse_config()
data_files = config["data_files"]
original = evaluate(data_files["sender"], data_files["receiver"], config=config, kind=0)
df = jitter.prep(original, config=config)
```
%% Cell type:code id: tags:
``` python
trace(original.iloc[47],config)
```
%%%% Output: display_data
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjgAAAE8CAYAAADNDMt9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XuYXFWd7//3h3ALCRIx2D8mjqePyq2TCRnSXAKBaZQnIhdBxQHBgxGdqIPgDZQRjkSFAcVH5aJIRAh6EGK4aMbMGGCwCB0jhIRc6ASBgUZBlA4C2iEmJPn+/tirsSiqr1Xd1bX783qefmrvtdetvhTJN2uv6q2IwMzMzCxPtqv1BMzMzMyqzQmOmZmZ5Y4THDMzM8sdJzhmZmaWO05wzMzMLHec4JiZmVnuOMExMzOz3HGCY2ZmZrnjBMfMzMxyZ/taT8Bebfz48dHY2FjVPjds2MCYMWOq2udI4vhVxvGrjONXGcevMsMxfsuXL18fEXv0Vs8JzjDT2NjIAw88UNU+C4UCLS0tVe1zJHH8KuP4Vcbxq4zjV5nhGD9JT/alnm9RmZmZWe44wTEzM7PccYJjZmZmueMEx8zMzHLHCY6ZmZnljhMcMzMzyx0nOGZmZpY7dZ3gSNoqaaWkNkmrJH1O0qC9J0mNkh5Kx82SrhissczMzGzg6v0X/W2MiCkAkt4I/Bh4HXDhYA8cEQ8A1f2NfGZmZlYVdb2CUywingVmAZ9UZpSkyyQtk7Ra0se66kr6gqQ1adXn0lQ2RdKvU93bJb0+lU9N9VYBZxb10SLp5+l4tqTrJBUkPS7p7KJ6/1fSbyS1SrpJ0jlDFBIzM7MRq95XcF4lIh6XNAp4I3AC8GJEHChpJ2CJpDuAfdO1gyPiJUm7p+Y/BM6KiHskfYVsFejTwPXAJyNisaTLehh+X+BIYFfgN5KuBqYA7wP2B3YAVgDLSxtKmkWWnNHQ0EChUKgoDqU6Ozur3udI4vhVxvGrjONXGcevMvUcv1wlOCVmAJMlnZTOdwP2Ao4Cro+IlwAi4k+SdgPGRcQ9qe4NwHxJ41L54lT+I+Bd3Yy3MCI2AZskPQs0AIcBP4uIvwJ/lfQf5RpGxBxgDkBzc3NU+7kfw/FZIvXE8auM41cZx68yjl9l6jl+uUpwJL0F2Ao8C4hsRWZRSZ13DtLwm4qOt5Kz2JqZmdWT3OzBkbQH8D3gqogIYBHwCUk7pOt7SxoD3Al8WNIuqXz3iHgReF7S4am7/wPcExEvAC9Imp7KT+vntJYAx0vaWdJY4LhK3qOZmZn1Tb2vMoyWtJJsf8sWsltI30zXrgUagRWSBHQAJ0bELyRNAR6QtBn4T+CLwIeA76XE53Hgw6mfDwPXSQrgjv5MLiKWSVoArAb+CKwBXhzomzUzM7O+qesEJyJG9XBtG1ni8sUy1y4FLi0pWwkcUqbucrJNwl0+n8oLQCEdzy5pM6no9BsRMTslTosps8nYzMzMqquuE5w6MUdSE7AzcENErKj1hMzMzPLOCc4gi4hTaz0HMzOzkSY3m4zNzMzMujjBMTMzs9xxgmNmZma54wTHzMzMcscJjpmZmeWOExwzMzPLHSc4ZmZmljtOcMzMzCx3hlWCI2mrpJWSHpL0H5LGVbn/d0s6r0p9zZR0VTqeLenporm/u6je6alsjaQHJZ1TjfHNzMyse8PtNxlvjIgpAJJuAM4ELq5W5xGxAFhQaT+SysXtWxHxDUn7AfdKeiPwTuDTwIyI+L2knYDTKx3fzMysL1pbW1myZMmA20+YMKGKsxlaw2oFp8RS4JXISjpX0jJJqyV9uaj89FS2StKPUtkekm5N9ZdJOiyVz5R0laTdJD0pabtUPkbS7yTtIOmtkn4habmkeyXtm+rMlfQ9SfcBX+9u0hGxjuzJ5uOBfwPOiYjfp2ubIuL71Q6UmZmZvdpwW8EBQNIo4B3AD9L5DGAv4CBAwAJJRwDPARcAh0bEekm7py4uJ1tRaZX0ZmARsF9X/xHxoqSVwD8BvwSOAxZFxMuS5gAfj4hHJR0MfBd4e2r6pjTWVkkzu5n7wcA2oAOYRB+eHi5pFjALoKGhgUKh0Ico9V1nZ2fV+xxJHL/KOH6VcfwqM9Lj99RTT1XUfvPmzXUbv+GW4IxOiccEYB1wZyqfkX4eTOdjyRKe/YH5EbEeICL+lK4fBTRJ6ur3dZLGlow1DziZLME5BfhuqnMoML+o7U5FbeZHxNZu5v4ZSR8E/gKcHBFR1EePImIOMAegubk5Wlpa+tSurwqFAtXucyRx/Crj+FXG8avMSI9fa2srTz/99IDb77jjjnUbv+GW4GyMiCmSdiFbdTkTuIJs1eaSiLimuLKks7rpZzvgkIj4a0n94tMFwL+nVZ+pwN3AGOCFrn1AZWzoYe7fiohvlJS1FfVtZmZmQ2S4JTgARMRLks4Gfirpu2TJzlcl3RgRnZImAC+TJQ63S/pmRDwnafe0inMHcBZwGYCkKRGxsmSMTknLyG5n/TytzPxZ0hOS3h8R85VlRJMjYtUA38olwGWSjo2IP0jaETg9Iq4dYH9mZmZ9Nn36dKZPnz7g9vV6ewqGaYIDEBEPSloNfCAifpS+nbQ0rcJ0Ah+MiDZJFwP3SNpKdgtrJnA28J3UfntgMfDxMsPMA+YDLUVlpwFXS7oA2AG4GRhQghMR/ympAbgrJUsBXDeQvszMzKzvhlWCExFjS86PLzq+nGy1pbTNDcANJWXryfbXlNadC8wtOr+F7PZXcZ0ngKPLtJ3ZXV8RMbvsG8quXQ9c3911MzMzq77h/DVxMzMzswFxgmNmZma54wTHzMzMcscJjpmZmeWOExwzMzPLHSc4ZmZmljtOcMzMzCx3nOCYmZlZ7jjBMTMzs9yp2wRH0lZJK4t+GqvQ52xJ56TjgqTmKvTZLml8pf2YmZlZ3w2rRzX008YenvptZmZmI1g9JzivIWkUcCnZwzN3Ar4TEdeka+cC/5zKb4+IC1P5+cCHgGeB3wHLi7r8P5KuJYvTGRFxv6SDyJ6JtTOwEfhwRPwmjf01sudYbQO+HxFXFs1tNHAbcFtEfH+QQmBmZv3Q2trKkiVLaj2Nbh122GEVPQ18JKvnBGe0pJXp+ImIeA/wEeDFiDhQ0k7AEkl3AHuln4PIHq65QNIRwAbgFGAKWSxW8OoEZ5eImJLqXgdMAh4GDo+ILZKOAv4deB8wC2gEpqRruxf1M5bsqeQ/jIgfVj0SZmZm9ir1nOCUu0U1A5gs6aR0vhtZYjMj/TyYysem8l3JVnNeApC0oKS/mwAiYrGk10kal9rcIGkvIIAdUt2jgO9FxJbU5k9F/fwM+HpE3FjujUiaRZYg0dDQQKFQ6FsE+qizs7PqfY4kjl9lHL/KOH6V6S1+Tz311NBNZgDa29vZsmVLzcav589fPSc45Qg4KyIWvapQeidwSdftqqLyT/fSX5Q5/yrwy4h4T9rYXOjDvJYAR0v6cUSU9klEzAHmADQ3N0dLS0sfuuy7QqFAtfscSRy/yjh+lXH8KtNb/FpbW3n66aeHbkL91NjYWNNbVPX8+avbb1F1YxHwCUk7AEjaW9KYVH6GpLGpfIKkNwKLgRMljZa0K3B8SX8np/rTyW59vUi2KtT1f8PMorp3Ah+TtH1qU3yL6kvA88B3qvZOzczMrFt5W8G5lmwfzApJAjqAEyPiDkn7AUuzYjqBD0bECknzgFVkm4yXlfT3V0kPkt2GOiOVfZ3sFtUFwMKSsfcGVkt6Gfg+cFXR9U8B10n6ekR8vmrv2MzMBmz69OnexJtTdZvgRMTYMmXbgC+mn9Jrl5N9+6m0/GLg4jLlLd2Mu5QskelyQSrfAnw2/RTXbyw6/XC5Ps3MzKy68naLyszMzMwJjpmZmeWPExwzMzPLHSc4ZmZmljtOcMzMzCx3nOCYmZlZ7jjBMTMzs9xxgmNmZma54wTHzMzMcscJjpmZmeXOkCQ4kjpLzmdKuqq7+v3se7akc9LxXEkn9VJ/rqQnJK2UtELStAGM2SjpoX7WP7W/45iZmdnA1O2zqCp0bkTcImkGcA0weZDHawROBX48yOOYmVkPWltbWbJkSa2nMWwcdthhuX3YaM1vUUk6XtJ9kh6UdJekhlQ+W9J1kgqSHpd0dlGb8yU9IqkV2KebfqdKukfSckmLJO1Zptpi4G2p/r9IWiZplaRbJe2Syhsk3Z7KV0k6tGSct6S5HyhplKTLUj+rJX0sVbsUODytGn2m4qCZmZlZj4ZqBWe0pJVF57sDC9JxK3BIRISkjwKfBz6Xru0LHAnsCvxG0tVkqy2nAFPI5r8CWF48mKQdgCuBEyKiQ9LJZE8MP6NkXscDa9LxbRHx/dT+IuAjqY8rgHsi4j2SRgFjgdenevsANwMzI2KVpFnAixFxoKSdgCWS7gDOA86JiOPKBSe1mwXQ0NBAoVDoIZT919nZWfU+RxLHrzKOX2Ucv8qUxu+pp56q3WSGofb2drZs2dLt9Xr+/A1VgrMxIqZ0nUiaCTSn0zcB89IKy47AE0XtFkbEJmCTpGeBBuBw4PaIeCn1tYDX2geYBNwpCWAU8EzR9cskXQB0kCUyAJNSYjOOLIlZlMrfDpwOEBFbgRclvR7YA/gZ8N6IWJvqzgAmF+0D2g3YC9jcU3AiYg4wB6C5uTlaWlp6qt5vhUKBavc5kjh+lXH8KuP4VaY0fq2trTz99NO1m9Aw09jY2OMtqnr+/A2HPThXAt+MiAWSWoDZRdc2FR1vpe/zFdAWEd1tID43Im4pKZsLnJhWYmYCLb2M8SLwW2A60JXgCDgrIhYVV0zvy8zMzIbIcEhwdgO60ukP9aH+YmCupEvI5n882UbhYr8B9pA0LSKWpltWe0dEWw/97go8k+qeVjSn/wY+AXy76BYVZKsy7wEWSeqMiB+Trfp8QtLdEfGypL1TP39J/ZuZWQ1Nnz49t5tq7dVqvsmYbMVmvqTlwPreKkfECmAesAr4L2BZmTqbgZOAr0laBawEDi2tV+L/AvcBS4CHi8o/BRwpaQ3ZXp+monE2AMcBn5H0buBastWcFelr5NeQJWGrga1pk7I3GZuZmQ2yIVnBiYixJedzyW4JERE/I9vLUtpmdsn5pKLji8k2DZe2mVl0vBI4oqc6JeVXA1eXKf8jcEKZJpPS9ReAA4vKv5h+Sr293LhmZmZWfcNhBcfMzMysqpzgmJmZWe44wTEzM7PccYJjZmZmueMEx8zMzHLHCY6ZmZnljhMcMzMzyx0nOGZmZpY7TnDMzMwsd5zgmJmZWe7kJsGRtFXSSkkPSfoPSeOq3P+7JZ1XzT7NzMxscAyHp4lXy8aImAIg6QbgTMo8r2qgImIBsKDSfiRtHxFbqjAlM7O609raypIlS4Z0zPvuu29Ix8ubSuJ32GGH1ezp7blZwSmxFJjQdSLpXEnLJK2W9OWi8tNT2SpJP0ple0i6NdVfJumwVD5T0lWSdpP0pKTtUvkYSb+TtIOkt0r6haTlku6VtG+qM1fS9yTdB3x9KANhZmY2EuVpBQcASaOAdwA/SOczgL2AgwABCyQdATwHXAAcGhHrJe2eurgc+FZEtEp6M7AI2K+r/4h4UdJK4J+AXwLHAYsi4mVJc4CPR8Sjkg4GvsvfniL+pjTW1jJzngXMAmhoaKBQKFQvIEBnZ2fV+xxJHL/KOH6VyVv8nnrqqVpPwYZQe3s7W7bU5qZFnhKc0SnxmACsA+5M5TPSz4PpfCxZwrM/MD8i1gNExJ/S9aOAJkld/b5O0tiSseYBJ5MlOKcA3011DgXmF7XdqajN/HLJTRp7DjAHoLm5OVpaWvr+rvugUChQ7T5HEsevMo5fZfIWv9bWVp5++ulaT8OGSGNjY81uUeUpwdkYEVMk7UK26nImcAXZqs0lEXFNcWVJZ3XTz3bAIRHx15L6xacLgH9Pqz5TgbuBMcALXfuAytjQz/djZmZmA5SnBAeAiHhJ0tnATyV9lyzZ+aqkGyOiU9IE4GWypOR2Sd+MiOck7Z5Wce4AzgIuA5A0JSJWlozRKWkZ2e2sn6eVmT9LekLS+yNivrKMaHJErBqyN29mNsxNnz59SP9Fn7cVsKFWz/HL5SbjiHgQWA18ICLuAH4MLJW0BrgF2DUi2si+ZXWPpFXAN1Pzs4HmtPl4LfDxboaZB3wwvXY5DfhI6q8NOKHKb83MzMz6IDcrOBExtuT8+KLjy8lWW0rb3ADcUFK2nmx/TWnducDcovNbyG5/Fdd5Aji6TNuZfXoTZmZmVhW5XMExMzOzkc0JjpmZmeWOExwzMzPLHSc4ZmZmljtOcMzMzCx3nOCYmZlZ7jjBMTMzs9xxgmNmZma54wTHzMzMcscJjpmZmeWOE5wyJJ0vqS09j2qlpIOr0GdBUnM15mdmZmY9y82zqKpF0jTgOOCAiNgkaTywY42nVZENGzYwf/78Wk+jW01NTUycOLHW0zAzsxxxgvNaewLrI2ITvPLwTSRNJXvi+FhgPTAzIp6RVADuA44ExgEfiYh7JY0Grgf2Bx4GRg/1GzEzMxupFBG1nsOwImks0ArsAtwFzAN+BdwDnBARHZJOBt4ZEWekBGd5RHxO0jHAZyPiKEmfBSalOpOBFcAhEfFAmTFnAbMAGhoapt58881VfU/PP/88W7ZsqWqf1bTLLrswZsyYWk+jW52dnYwdO7b3ilaW41cZx68yjl9lhmP8jjzyyOUR0euWD6/glIiIzrRaczjZqsw84CJgEnCnJIBRwDNFzW5Lr8uBxnR8BHBF6nO1pNU9jDkHmAPQ3NwcLS0tVXo3mYULFw7rBKexsXFY36IqFApU+7/JSOL4Vcbxq4zjV5l6jp8TnDIiYitQAAqS1gBnAm0RMa2bJpvS61YcUzMzs5rzX8YlJO0DbIuIR1PRFGAdMEPStIhYKmkHYO+IaOuhq8XAqcDdkiYBkwd14j0YM2YMxx57bK2GNzMzG3JOcF5rLHClpHHAFuAxsv0xc4ArJO1GFrdvAz0lOFcD10taR5YgLR/UWZuZmdkrnOCUiIjlwKFlLq0n21dTWr+l6Hg9aQ9ORGwEThmUSZqZmVmP/Iv+zMzMLHec4JiZmVnuOMExMzOz3HGCY2ZmZrnjBMfMzMxyxwmOmZmZ5Y4THDMzM8sdJzhmZmaWO05wzMzMLHf6lOBIOl9Sm6TVklZKOrjSgSUVJPX6uPOSNnMlPZHmsFLSryqdx1CR1CjpoVrPw8zMbCTo9VENkqYBxwEHRMQmSeOBHQd9Zq+dx6h0eG5E3DLU49vgaWtrY+3atQNu39TUxMSJE6s4IzMzq3d9WcHZE1gfEZsge95SRPxe0lRJ90haLmmRpD3hlZWZr0m6X9Ijkg5P5aMl3SxpnaTbgdFdA0iaIWmppBWS5ksam8rbU18rgPd3N0FJsyVdl8Z+XNLZRdfOT/NolXSTpHOK5tmcjsdLak/HoyRdJmlZWrH6WCpvkfTzon6vkjQzHXcXi6mSVklaBZzZh1ibmZlZFfTlYZt3AF+S9AhwFzAP+BVwJXBCRHRIOhm4GDijq9+IOEjSMcCFwFHAJ4CXImI/SZOBFZAlF8AFwFERsUHSF4DPAl9JfT0XEQekukcDl0m6IF1ri4jT0vG+wJHArsBvJF0NTCZ74OWU9F5X0PtTvT8CvBgRB0raCVgi6Y7uKkvaoYdYXA98MiIWS7qshz5mkT2xnIaGBgqFQi9T7J/Ozs6q91lNGzZsqKh9e3s7HR0dVZrNaw33+A13jl9lHL/KOH6Vqef49ZrgRESnpKnA4WQJxDzgImAScKckgFHAM0XNbkuvy0lP1yZ7EvcVqc/Vklan8kOAJrJEArLbX0uL+ppXMqXublEtTKtMmyQ9CzSkOd8eES8BSFrQ2/sFZgCTJZ2UzncD9gI2d1N/H8rEQtI4YFxELE71fgS8q1wHETEHmAPQ3NwcLS0tfZhm3xUKBardZzVVeouqsbFxUG9RDff4DXeOX2Ucv8o4fpWp5/j1ZQWHiNgKFICCpDVkt1vaImJaN002pdetfRhDwJ0R8YFurvf1n/ebio77Mu4W/naLbueS+ZwVEYteNUlpOq++pbdzUf3XxCIlOGZmZlYDfdlkvA+wLSIeTUVTgHXADEnTImJpuk2zd0S09dDVYuBU4G5Jk8huHwH8GviOpLdFxGOSxgATIuKRgb6pkjHnSrqE7L0eD1yTrrUDU4H7gZOK2iwCPiHp7oh4WdLewNPAk0BTum01GngH0Ar8BtijXCwkvSBpekS0AqdhZU2cONGbhM3MrKr6soIzFrgyrUhsAR4j2y8yB7hC0m6pn28DPSU4VwPXS1pHliAtB0j7VmYCN6XkAbI9Od0lOMV7cAAO6m7AiFghaR6wCngWWFZ0+RvAT9L+l4VF5deS3VZboeyeUwdwYkT8TtJPgIeAJ4AH0xib0+2scrH4MHCdpCDby2RmZmZDoC97cJYDh5a5tJ5sX01p/Zai4/WkPTgRsZFsw2+5Me4GDixT3lhyPrObac4uqTep6Phisk2/SJpdVP4wf1tFgiypIiK2AV9MP6Xz+Tzw+TLlKykfi+XA/kVFr2lrZmZm1effZGxmZma506dNxnkREbNrPQczMzMbfF7BMTMzs9xxgmNmZma54wTHzMzMcscJjpmZmeWOExwzMzPLHSc4ZmZmljtOcMzMzCx3nOCYmZlZ7uTmF/1J2gqsKSq6OSIurdV8zMzMrHZyk+AAGyNiSq0nYdDW1sbatWv7XL+pqclPEzczs6rK/S0qSe2SvixphaQ1kvZN5W+QdIekNknXSnpS0nhJjZIeKmp/TtdDOiW9VdIvJC2XdG9RX3PTE8W72nQWHZ8raZmk1ZK+PGRv3MzMbATL0wrOaEkri84viYh56Xh9RBwg6V+Bc4CPAhcCrRHxFUnHAh/pwxhzgI9HxKOSDga+C7y9u8qSZgB7AQcBAhZIOiIiFpfUmwXMAmhoaKBQKPRhKn3X2dlZ9T57smHDhn7Vb29vp6OjY5BmU7mhjl/eOH6Vcfwq4/hVpp7jl6cEp6dbVLel1+XAe9PxEV3HEbFQ0vM9dS5pLHAoMF9SV/FOvcxpRvp5MJ2PJUt4XpXgRMQcsuSJ5ubmaGlp6aXb/ikUClS7z5709xZVY2PjsL5FNdTxyxvHrzKOX2Ucv8rUc/zylOD0ZFN63Urv73kLr751t3N63Q54oZsk6pU2krYDdkzlIltJumYgkzYzM7OBGSkJTjmLgVOBiyS9C3h9Kv8j8EZJbwA6geOAX0TEnyU9Ien9ETFf2TLO5IhYBbQDU4GfAO8Gdkh9LQK+KunGiOiUNAF4OSKeHao3WQsTJ04c1isyZmaWf3naZDxa0sqin96+Iv5l4AhJbWS3qn4LEBEvA18B7gfuBB4uanMa8BFJq4A24IRU/n3gn1L5NGBD6usO4MfAUklrgFuAXSt/q2ZmZtaT3KzgRMSobsobi44fAFrS8XNk+2OA7NtWRfWuAK4o09cTwNFlyv8IHFJU9IWia5cDl/f1fZiZmVnl8rSCY2ZmZgbkaAWnUsUrPWZmZlbfvIJjZmZmueMEx8zMzHLHCY6ZmZnljhMcMzMzyx0nOGZmZpY7TnDMzMwsd5zgmJmZWe44wTEzM7PcqUmCI6mzTNnHJZ3eS7uZkq4qKTu/6PlTW4uOz672vPtD0ihJ96bjt0g6pZbzMTMzG0mGzW8yjojvDbDdxcDFkCVOETGlXD1J20fElgqm2N95bQUOT6dvAU4Bbh6q8UeStrY21q5dO6hjzJ8/f1D7zzvHrzJ5il9TUxMTJ06s9TRsBBg2t6gkzZZ0TjouSPqapPslPSLp8DL1j5W0VNL4Hvr8f5KulnQ/8O+SDkltHpS0RNJeqd5HJd0iaZGkRyVdksq3l/QjSWskPdS1KiSpVdI3JT0gaa2kZkm3p7azi9q+kKZyKXDkcFhZMjMzGwmGzQpOGdtHxEGSjgEuBI7quiDpPcBngWMi4vle+tkTOCQitknaDTg8IrZIOhq4CDg51dsfmAq8DDwi6Urg74HxEfEPadxxRf1ujIhmSZ8Dfpravgg8LunbQPFtuPOAT0bEieUmKGkWMAugoaGBQqHQy1vqn87Ozqr3OZxs2LCh1lMwsz5qb2+no6NjyMbL+59/g62e4zecE5zb0utyoLGo/O1AMzAjIv7ch37mR8S2dDwO+KGkt5apd1dXf5IeBt4MPArsI+kKYCFwR1H9Bel1DbAmIv6Y2rYDbwIe7sPcAIiIOcAcgObm5mhpaelr0z4pFApUu8/hZChuUZlZdTQ2Ng7pLaq8//k32Oo5fsPmFlUZm9LrVl6diP0PsCuwdx/7Kf7n/cXAooiYBJwI7FxmvFfGjIjngMnAvcCZwDVl6m8rabuN4Z04mpmZ5V49/kX8JHAucJuk90dEWz/a7gY8nY5n9lZZ0h7AXyNivqRHgWv7O9nkL2RJmQ2CiRMnDuq/COv5XzDDgeNXGcfPbGBqtYKzi6Snin4+25/GEfEwcBowv5vbTd35GnCZpBWA+lD/74HFklYC1wNf7M88izwIjJK0ypuMzczMBl9NVnAiosfEKiJaio7Xk/bgRMRcYG46fhBoKmk3tuT8gyXnrbz61tb5qfzaknpHF53+Y5n5TS86vgu4q9w1sj0/RMRmoAUzMzMbEsN5D46ZmZnZgDjBMTMzs9xxgmNmZma54wTHzMzMcscJjpmZmeWOExwzMzPLHSc4ZmZmljtOcMzMzCx3nOCYmZlZ7tQ8wZG0VdJKSQ9Jmi9plz62+3RXXUn3pT5+K6kjHa+U1DiYc+/DHN8j6dx0/F5J+9ZyPmZmZiPFcHjY5saImAIg6Ubg48A3uy5KEqCI2FZUNgr4NPD/gJci4uBUPhNojohPlhtI0qiI2DpYb6RURNxedPpesieNPzxU45uZmY1UwyHBKXYvMDmtvCwC7gOmAsdIagOuAY4CbgX+DvilpPURcWS5ziRtD6wne37V24GPSToaOAYYDbQCn4iIkNSazt9O9tTxD0fEryT9A3AdsAPZiteJ6fWnZA/RPBj4NXAjcCGwB/CBiHhA0keBSWm+xwCHSZoNnBgR7VWIVy61tbWxdu3aWk/jVebPn1/rKdQ1x68yeYpfU1MTEye4Xz3gAAATqUlEQVROrPU0bASo+S2qLikZeRewJhXtBXw3IiZGxJPAGOC+iNg/Ir4C/B44srvkpshuwOKImBwRS4HLI+JA4B/SteIHayoiDgLOBb6Uyv4V+EZaZTowjQuwD3AJsC8wGXhfRBwKnJd+XhER9wL/CXwmIqY4uTEzMxtcw2EFZ7Sklen4XuAHZKszT0bEr4vqbSVbCemvzUDxraJ3pH0xOwPjgeXAf6Vrt6XX5aQnmAO/Ai6Q9L+A2yLiseyuGY9FxFoASWuB/0711wD/1p8JSpoFzAJoaGigUCj0p3mvOjs7q97nYNqwYUOtp2Bmg6S9vZ2Ojo4hG6/e/vwbbuo5fsMhwXllD06XlECU/i331wHun9kYEZH63QW4CjggIp6WdBFZotNlU3rdSopNRPxI0lLgWOAXks4gW8XZVNRuW9H5NvoZ14iYA8wBaG5ujpaWlv4071WhUKDafQ6m4XiLysyqo7GxcUhvUdXbn3/DTT3Hb9jcohqAvwC79rPNaLIEZL2kXYH39dZA0lsi4rGIuBz4OdntqIEYyHzNzMxsAIbDCs5AzSFbUfl9H/bhABARz0m6AVgLPEO2ibk3p0r6APAy2crNbLJbW/11E3CNpM/hTcY9mjhx4rDahFjP/4IZDhy/yjh+ZgNT8wQnIsaWKWsn+/ZRt/Ui4krgypKyuWTfmOo63wKMK6nzmk3AqXx60fEfgLel44uAi0qqvwBMKar/waLjx7quRcS1ReWLgf1KxzUzM7Pqq+dbVGZmZmZlOcExMzOz3HGCY2ZmZrnjBMfMzMxyxwmOmZmZ5Y4THDMzM8sdJzhmZmaWO05wzMzMLHec4JiZmVnuOMExMzOz3KmrBEfS+ZLaJK2WtFLSwVXosyCpuZ9t5ko6qaj9byStkrRE0j6pfAdJl0p6VNIKSUslvavS+ZqZmVnvav4sqr6SNA04DjggIjZJGg/sWIN5jCpTfFpEPCBpFnAZ8G7gq8CewKQ03wbgn4ZwqjXT1tbG2rVrB9y+qalpWD1s08zM6k89reDsCayPiE0AEbE+In4vaaqkeyQtl7RI0p7wysrK1yTdL+kRSYen8tGSbpa0TtLtwOiuASTNSCstKyTNlzQ2lbenvlYA7+9hjouBt0naBfgX4Kyi+f4xIn4yCHExMzOzEnWzggPcAXxJ0iPAXcA84FdkTxQ/ISI6JJ0MXAyckdpsHxEHSToGuBA4CvgE8FJE7CdpMrACIK0IXQAcFREbJH0B+CzwldTXcxFxQKp7dDdzPB5YQ/Yk8t9GxJ/78sbSys8sgIaGBgqFQp8C0lednZ1V77MnGzZsqKh9e3s7HR0dVZpN5YY6fnnj+FXG8auM41eZeo5f3SQ4EdEpaSpwOHAkWYJzETAJuFMSwCjgmaJmt6XX5UBjOj4CuCL1uVrS6lR+CNAELEl97QgsLeprXg/Tu1HSRqAdOAt4fT/f2xxgDkBzc3O0tLT0p3mvCoUC1e6zJ5XeompsbBxWt6iGOn554/hVxvGrjONXmXqOX90kOAARsRUoAAVJa4AzgbaImNZNk03pdSu9v1cBd0bEB7q53tOyxGkR8cArHUnPAW+W9Lq+ruKYmZlZ9dRNgpO+nbQtIh5NRVOAdcAMSdMiYqmkHYC9I6Kth64WA6cCd0uaBExO5b8GviPpbRHxmKQxwISIeKS/c42IlyT9ALhc0sciYrOkPYCWiJjf3/7qzcSJE4fVCoyZmY089bTJeCxwg6S16bZSE/Al4CTga5JWASuBQ3vp52pgrKR1ZPtrlgNERAcwE7gp9b8U2LeC+V4AdABrJT0E/Bzwao6ZmdkQqJsVnIhYTvnkZT3ZvprS+i1Fx+tJe3AiYiNwSjdj3A0cWKa8seR8ZrlxSupsBj6ffszMzGwI1dMKjpmZmVmfOMExMzOz3HGCY2ZmZrnjBMfMzMxyxwmOmZmZ5Y4THDMzM8sdJzhmZmaWO05wzMzMLHec4JiZmVnuOMExMzOz3BlRCY6k8yW1SVotaaWkg3uoO1vSORWM9XFJp6fjmZL+bqB9mZmZWf/UzbOoKiVpGnAccEBEbJI0HthxsMaLiO8Vnc4EHgJ+P1jj9WTDhg3Mnz90DzFvamry08TNzKymRtIKzp7A+ojYBNkDOCPi95LaU7KDpGZJhaI2+0taKulRSf+S6rRIukfSzyQ9LulSSadJul/SGklvTfVmSzpH0klAM3BjWjUaPaTv2szMbAQaMSs4wB3AlyQ9AtwFzIuIe3ppMxk4BBgDPChpYSrfH9gP+BPwOHBtRBwk6VPAWcCnuzqIiFskfRI4JyIeKDeIpFnALICGhgYKhcIA32J5mzdvrmp/vWlvb6ejo2NIxxxMnZ2dVf9vMpI4fpVx/Crj+FWmnuM3YhKciOiUNBU4HDgSmCfpvF6a/SwiNgIbJf0SOAh4AVgWEc8ASPofsuQJYE3qu79zmwPMAWhubo6Wlpb+dtGjhQsXsmXLlqr22ZPGxsZc3aIqFApU+7/JSOL4Vcbxq4zjV5l6jt+ISXAAImIrUAAKktYAHwK28LdbdTuXNunmfFNR2bai822MsJiamZkNRyPmL2NJ+wDbIuLRVDQFeBIYDUwF/gt4X0mzEyRdQnaLqgU4D9h7AMP/Bdh1AO2qYsyYMRx77LG1Gt7MzGzIjZgEBxgLXClpHNmqzWNk+172A34g6atkqzvFVgO/BMYDX02bkgeS4MwFvidpIzAt3fYyMzOzQTJiEpyIWA4cWubSvZRZlYmI2d30U6AoEYqIlnLXittHxK3Arf2etJmZmQ3ISPqauJmZmY0QTnDMzMwsd5zgmJmZWe44wTEzM7PccYJjZmZmueMEx8zMzHLHCY6ZmZnljhMcMzMzyx0nOGZmZpY7TnDMzMwsd0ZUgiPpfEltklZLWinp4Cr0WZDUXI35mZmZWXWMmGdRSZoGHAccEBGbJI0HdqzBPEZFxNahHHPDhg3Mnz9/KIfMHcevMo5fZfIUv6amJiZOnFjradgIMJJWcPYE1kfEJoCIWJ+eDj5V0j2SlktaJGlPeGVl5muS7pf0iKTDU/loSTdLWifpdmB01wCSZkhaKmmFpPmSxqby9tTXCuD9Q/7OzczMRpgRs4ID3AF8SdIjwF3APOBXwJXACRHRIelk4GLgjNRm+4g4SNIxwIXAUcAngJciYj9Jk4EVAGlF6ALgqIjYIOkLwGeBr6S+nouIA8pNTNIsYBZAQ0MDhUKhqm988+bNVe3PzGyg2tvb6ejoGLLxOjs7q/5n6khSz/EbMQlORHRKmgocDhxJluBcBEwC7pQEMAp4pqjZbel1OdCYjo8Arkh9rpa0OpUfAjQBS1JfOwJLi/qa18Pc5gBzAJqbm6OlpWUgb7FbCxcuZMuWLVXt08xsIBobG4f0FlWhUKDaf6aOJPUcvxGT4ACkvS8FoCBpDXAm0BYR07ppsim9bqX3WAm4MyI+0M31Df2crpmZmQ3QiElwJO0DbIuIR1PRFGAdMEPStIhYKmkHYO+IaOuhq8XAqcDdkiYBk1P5r4HvSHpbRDwmaQwwISIeGZx31Hdjxozh2GOPrfU06lY9/wtmOHD8KuP4mQ3MiElwgLHAlZLGAVuAx8j2vcwBrpC0G1k8vg30lOBcDVwvaR1ZgrQcIO3hmQncJGmnVPcCoOYJjpmZ2UgzYhKciFgOHFrm0nqyfTWl9VuKjteT9uBExEbglG7GuBs4sEx54wCmbGZmZgM0kr4mbmZmZiOEExwzMzPLHSc4ZmZmljtOcMzMzCx3nOCYmZlZ7jjBMTMzs9xxgmNmZma54wTHzMzMcscJjpmZmeVO3f0mY0lbgTVFRTdHxKX9aN8OHAwsSkX/H9nDNDvS+UERsblMu+3JHr5ZPPaNEXFZP8Z+CpgUES/0tY2ZmZn1X90lOMDGiJhSYR9bu/qQNBvojIhv9KHdX6owtpmZmQ2yekxwykorMzcAxwM7AO+PiIclvQG4CZgALAXUh74+D5yeTq+JiCt7qf8UcC1wAjAKOCkiHpG0B/Bj4O+A1r6MPRjmzp3LkUceWYuhzcxsBLvwwguZPXt2Tcauxz04oyWtLPo5ueja+og4gOyJ3+eksguB1oiYCNwOvLmnziUdDJxG9tDMacC/SvqHdHnXkrFPKmr6x4j4R7JE57Op7MvAL9PY/0mW6JiZmdkgq8cVnJ5uUd2WXpcD703HR3QdR8RCSc/30v904Nb01HAk/RQ4HFhHz7eoisc+pmjsY9LYP5P0l3INJc0CZgE0NDRQKBR6mWL/bN78mi1FZmZmg669vb3qf6f1VT0mOD3ZlF63MvTvbcBjR8QcYA5Ac3NztLS0VHVic+fOrWp/ZmZmfdHY2Ei1/07rq3q8RdVfi4FTASS9C3h9L/XvBd4jabSksWT7au6twtjHA7sOsB8zMzPrh3pcwRktaWXR+S8i4rwe6n8ZuElSG/Ar4Lc9dR4R90u6CViWiq6OiDXpa+K7loy9MCLO76G7C9PYHwSWAL/vaezBMnPmTK/iVKBQKNTsXyB54PhVxvGrjONXmXqOX90lOBExqpvyxqLjB4CWdPwcMKOH/maXKfs68PWSsi1k35Aq18ebio5/DRyVjju6js3MzGzojIRbVGZmZjbCOMExMzOz3HGCY2ZmZrnjBMfMzMxyxwmOmZmZ5Y4THDMzM8sdJzhmZmaWO4qIWs/BikjqAJ6scrfjgfVV7nMkcfwq4/hVxvGrjONXmeEYv/8VEXv0VskJzggg6YGIaK71POqV41cZx68yjl9lHL/K1HP8fIvKzMzMcscJjpmZmeWOE5yRYU6tJ1DnHL/KOH6Vcfwq4/hVpm7j5z04ZmZmljtewTEzM7PccYJjZmZmueMEJ8ckHS3pN5Iek3Rerecz3En6e0m/lLRWUpukT6Xy3SXdKenR9Pr6Ws91OJM0StKDkn6ezv+3pPvS53CepB1rPcfhTNI4SbdIeljSOknT/BnsO0mfSf//PiTpJkk7+zPYPUnXSXpW0kNFZWU/b8pckeK4WtIBtZt575zg5JSkUcB3gHcBTcAHJDXVdlbD3hbgcxHRBBwCnJlidh7w3xGxF/Df6dy69ylgXdH514BvRcTbgOeBj9RkVvXjcuAXEbEvsD9ZLP0Z7ANJE4CzgeaImASMAk7Bn8GezAWOLinr7vP2LmCv9DMLuHqI5jggTnDy6yDgsYh4PCI2AzcDJ9R4TsNaRDwTESvS8V/I/mKZQBa3G1K1G4ATazPD4U/Sm4BjgWvTuYC3A7ekKo5fDyTtBhwB/AAgIjZHxAv4M9gf2wOjJW0P7AI8gz+D3YqIxcCfSoq7+7ydAPwwMr8Gxknac2hm2n9OcPJrAvC7ovOnUpn1gaRG4B+B+4CGiHgmXfoD0FCjadWDbwOfB7al8zcAL0TElnTuz2HP/jfQAVyfbvNdK2kM/gz2SUQ8DXwD+C1ZYvMisBx/Bvuru89bXf294gTHrISkscCtwKcj4s/F1yL7vQr+3QplSDoOeDYiltd6LnVse+AA4OqI+EdgAyW3o/wZ7F7aK3ICWaL4d8AYXnv7xfqhnj9vTnDy62ng74vO35TKrAeSdiBLbm6MiNtS8R+7lmHT67O1mt8wdxjwbkntZLdE3062n2Rcul0A/hz25ingqYi4L53fQpbw+DPYN0cBT0RER0S8DNxG9rn0Z7B/uvu81dXfK05w8msZsFf69sCOZBvtFtR4TsNa2i/yA2BdRHyz6NIC4EPp+EPAz4Z6bvUgIv4tIt4UEY1kn7e7I+I04JfASama49eDiPgD8DtJ+6SidwBr8Wewr34LHCJpl/T/c1f8/Bnsn+4+bwuA09O3qQ4BXiy6lTXs+DcZ55ikY8j2RIwCrouIi2s8pWFN0nTgXmANf9tD8kWyfTg/Ad4MPAn8c0SUbsqzIpJagHMi4jhJbyFb0dkdeBD4YERsquX8hjNJU8g2ae8IPA58mOwfo/4M9oGkLwMnk30r8kHgo2T7RPwZLEPSTUALMB74I3Ah8FPKfN5S0ngV2W2/l4APR8QDtZh3XzjBMTMzs9zxLSozMzPLHSc4ZmZmljtOcMzMzCx3nOCYmZlZ7jjBMTMzs9xxgmNmZma54wTHzOqapDdIWpl+/iDp6aLzXw3CeDMldUi6doDtL0vzPKfaczOzv9m+9ypmZsNXRDwHTAGQNBvojIhvDPKw8yLikwNpGBHnStpQ7QmZ2at5BcfMcktSZ3ptkXSPpJ9JelzSpZJOk3S/pDWS3prq7SHpVknL0s9hfRhjpqSris5/nsYbJWmupIfSGJ8ZvHdqZqW8gmNmI8X+wH7An8gegXBtRBwk6VPAWcCnyR4O+q2IaJX0ZmBRajMQU4AJETEJQNK4St+AmfWdExwzGymWdT0YUNL/AHek8jXAken4KKApe+QOAK+TNDYiOgcw3uPAWyRdCSwsGs/MhoATHDMbKYofrrit6Hwbf/uzcDvgkIj4az/63cKrb/fvDBARz0vaH3gn8HHgn4EzBjBvMxsA78ExM/ubO8huVwGvPNm7N+3AFEnbSfp74KDUdjywXUTcClwAHFD96ZpZd7yCY2b2N2cD35G0muzPx8Vkqy89WQI8AawF1gErUvkE4HpJXf+Q/LfqT9fMuqOIqPUczMzqhqSZQPNAvyae+pjN0Hyd3WzE8i0qM7P+2Qi8q5Jf9Ad8EPDvwjEbRF7BMTMzs9zxCo6ZmZnljhMcMzMzyx0nOGZmZpY7TnDMzMwsd/5/bBhWnW1MG2AAAAAASUVORK5CYII=)
%% Cell type:code id: tags:
``` python
df = jitter.prep(original, config=config)
jitter.trace_jitter(df)
```
%%%% Output: display_data
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)
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)
%% Cell type:code id: tags:
``` python
linear_regression(original,"Feedback_D")
```
%%%% Output: display_data
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AAJuzsmRMxN5jd9trcYDbOnjlxQFsEwGGnyDIAAExYUUjZKloA7BcBDwAA7IHFkwsCHQD2jSlaPSwtD+PU+ctxbfhenDp/OZaWhwe9SQAAAABG8HS1tDyMZ168trnc5QMRw5XVeObFaxERnswAAAAAB8oIno4uvPTmZrgzYnVtPS689OYBbREAAADAJgFPR2+trPZ6HQAAAGC/CHg6un9+rtfrAAAAAPtFwNPR2TMnYm4wu+21ucFsnD1z4oC2CAAAAGCTIssdFYWUN2vu/CgW5ufi7JkTCiwDAAAAB07A08PiyYVYPLkQV65cib/5hccPenMAAAAAIsIULQAAAIDkCXgAAAAAEifgAQAAAEicgAcAAAAgcQIeAAAAgMQJeAAAAAASJ+ABAAAASJyABwAAACBxAh4AAACAxAl4AAAAABIn4AEAAABInIAHAAAAIHECHgAAAIDECXgAAAAAEifgAQAAAEicgAcAAAAgcQIeAAAAgMQJeAAAAAASJ+ABAAAASFxrwJNl2QNZlr2cZdm/zrLs9SzL/tat1+/Nsuz/yLLsD279/3v2fnMBAAAAKOsygudmRPxKnud/PiJ+JiL+hyzL/nxEnIuIf57n+Z+LiH9+678BAAAA2GetAU+e53+U5/nv3vrfP4qI34+IhYj4LyLiN2792G9ExOJebSQAAAAA9bI8z7v/cJY9GBH/V0T8hYj4QZ7n87dezyLi3eK/S7/zyxHxyxERH/vYxz79ta99bfdbfcDef//9uOuuuw56M4AJcl7D4eO8hsPHeQ2Hi3O6m9OnT7+W5/ljbT/XOeDJsuyuiPg/I+If5Hn+YpZlK6OBTpZl7+Z53liH57HHHstfffXVTu83za5cuRKPP/74QW8GMEHOazh8nNdw+Div4XBxTneTZVmngKfTKlpZlg0i4oWI+K08z1+89fK/z7Ls47f+/eMR8R/G3VgAAAAAxtdlFa0sIv5RRPx+nuf/08g/fSMifunW//6liPgnk988AAAAANoc6/AzpyLiv46Ia1mWXb312t+NiPMR8fUsy/5GRHw/In5+bzYRAAAAgCatAU+e5/93RGQ1//yfTnZzAAAAAOirUw0eAAAAAKaXgAcAAAAgcQIeAAAAgMQJeAAAAAASJ+ABAAAASJyABwAAACBxAh4AAACAxAl4AAAAABJ37KA3AACA/bO0PIwLL70Zb62sxv3zc3H2zIlYPLlw0JsFAOySgAcA4IhYWh7GMy9ei9W19YiIGK6sxjMvXouIEPIAQOJM0QIAOCIuvPTmVrhTWF1bjwsvvXlAWwQATIqABwDgiHhrZbXX6wBAOgQ8AABHxP3zc71eBwDSIeABgF1aWh7GqfOX46Fzl+LU+cuxtDw86E2CSmfPnIi5wey21+YGs3H2zIkD2iIAYFIUWQaAXVC0lpQUx6RVtADg8BHwAFPBsr2kqq5o7VMXr8aFl950LDN1Fk8uOCYB4BAS8AAHzggIUtZUnNaxDADAflGDBzhwlu0lZW3FaR3LAADsBwEPcOAs20vKqorWljmWAQDYawIe4MBZtpeULZ5ciOeffCQWGo5XxzIAAHtNwAMcOMv2krrFkwvxyrkn4n/+/KOOZQAADoQiy8CBs2wvh4VjGQCAgyLgAaaCZXtJ1dLycEeg88q5Jw56swAAOGIEPAAwpqXlYTzz4rWtVeAsiw4AwEFRgwcAxnThpTe3wp2CZdEBADgIAh4AGFPd8ueWRQcAYL8JeABgTHXLn1sWHQCA/SbgAYAxnT1zwrLoAABMBQEPAIxp8eRCPP/kI7EwPxdZRMzPDeLOwUw8ffFqnDp/OZaWhwe9iQAAHBECHgDYhcWTC/HKuSfiK59/ND68uRHvXl+LPG6vqCXkAQBgPwh4AGACrKgFAMBBEvAAwAQMa1bOqnsdAAAmScADALvUNA1rNsv2cUsAADiqBDwAsEtN07DW83wftwQAgKNKwAMAu/RWwzSs+bnBPm4JAABH1bGD3gCAiM0pLhdeejPeWlmN++fn4uyZE7F4cuGgNws6mRvMxPW1jcp/++DGzVhaHjqegVbuhQDshoAHOHBLy8N45sVrWysQFctLR4SGLUlYrQl3IiLW1vO48NKbjmVIxEGFLO6FAOyWKVrAgbO8NClbWh5GW5WdpilcwPQoQpbhymrkcTtkaSqkPinuhQDslhE8wMT1ffpZ1/nVKSYFXTpf98/P7cOWALvVFLLs9Sga90IAdkvAA0zUOEPM75+fi2FFA1anmBS0db6yiDh75sT+bAzQ2+hDibrRePsRsrgXArBbpmgBEzXOEPOzZ07E3GB222tzg1mdYpIwf7x5law81M+AaVWeklVnP0IW90IAdssIHmCixhliXnR+rRxCivKWAjwLnr7D1Kp6KFG2XyGLeyFQxwp7dCXgASZq3CHmiycX3KhI0srqWu2/efoO063p4UMWse8dKfdCoMwKe/RhihYwUYaYc9TMZlntvz3/5CMaXzDF6h4+zGZZfOXzj8Yr555wDgMHygp79CHgASZq8eRCPP/kI7EwPxdZbE5P0cnlMFtvmKPluIfpdvrh+6Iqol3P83jq4tU4+avf2pcl0gHqWGGPPkzRAibOEHOOkoWaaYlq78B0W1oexguvDRuLK797fc1UCOBAWWGPPozgAYBdMC0R0tSlwHKEqRDAwdLOoA8jeABgF0ZXvhmurMZslm3rEHrqD9Opz/QGUyGAg2KFPfoQ8ABTwxKQpKo4Tq1yAemom/ZQ97MAB0X5A7oyRQuYCsUSkMOV1cjjdudYcUtSYZULSEvVtIcqbVMhlpaHcer85Xjo3KU4df6y+xYAB0bAA0wFnWNSZ5ULSEux6mPVKlqFtpUgPZwAYJoIeICpoHNM6uqmcJjaAdNr8eRCzB8fVP7bPccH8cq5JxqnRXg4AcA0EfAAU0HnmNRZ5QLStHJ9rdfrozyc4KgwFRHSIOABpoLOMakrpnsszM9FFu1TO4DpsJsHDB5OcBSYigjpsIoWMBUsAclhYJULSM/ZMye2rYAXEZFFxOmH7xvrdz2c4LBpmorongfTRcADTA2dYwD22+LJhXj1++/Eb337B5Hfei2PiBdeG8Zjn7i38b7k4QRHgamIkA4BDwAAR9LS8jAuvPRmDCs6ql1HKHg4wWF3//xc5TliKiJMHzV4AAA4ckbritQxQgHUSdxLilczaUbwAABw5FTVFSkzQgFMRdwrRchcXIeK4tURYd8yNgEPcGQVQ/PfWlmNc49uxMry0A0V4IhoG52TRRihALeYijh5ilezFwQ8kLjRkMITle7KT01urG94agJwhNw9N4iV1bXaf89r/wXYS0elbat4NXtBwEMvR+WCmwpDO8fnqQlA2nbbJsmy9p9xT4X9dZTatopXsxcUWaaz0WKEedy+4CoGdnCaQgqaeWoCkK5JtElWrteP3im4p8L+OkptW8Wr2QsCHjo7ShfcVAgpxlf3dMRTE4DpN4k2SdfrfdMqW8BkHaW27eLJhXj+yUdiYX4usohYmJ+L55985NCNVGJ/maJFZ0fpgpsKQzvHd/bMiW1DgCM8NQFIxSTaJKcfvi9+89s/aP252S5zuYCJOGptW8WrmTQjeOjMiIfpY2jn+MpPTe6YnZnYU5Ol5WGcOn85Hjp3KU6dv2waI8CETaJN8vIbb3f6ufVcuWXYa0XbabiyGuVIVdsWujOCh86MeJg+RRih8PV4Rp+aXLlyJR6fULgzieKACpoD1JtEm6TraJ8FD7JgT5XbTnlEZLf+/4I2EPQi4KEzYcJ0droN7Zwuk1id6yitIAEwjkm0SeqmgpSdfvi+sbcTaFfVdirCnVfOPXEwGwWJEvDQy1EOE3S6+5vGQGyvTaIuhCXcgcNiL+8Du22TnD1zIp66eLX157pO5QLGo84nTI4aPNCRVcT6mcQStimaRF0IDR3gMJj2+8DiyYW45/ig9edce2FvqfMJkyPggY50uvs5qoHYJApfa+gAh0EK94EvffaTO67ZZa69sLcsGgKTI+CBjnS6+zmqgVh5da6F+bneq3Np6ACHQQr3geKaXbcUehbh2gt7bBJtJ2CTGjzQkVXE+qkrXnkUArHd1oVQ0Bw4DFK5DyyeXIina2rx5KHOHuyH1Ot8HsW6k0wnAQ90pNPdj0Bsd1Jv6ACkdB+oC6MskQ60sRAL00TAAz3odHcnEOOo8fQOtkvlPrC0PIwPPry54/VpDaOA6WL1U6aJgAfYMwIxjgpP76DatN8Hyudu4Z7jg/jSZz851dsOTIcU6o1xdAh4poQnvwD7b1LXXk/vIE1V525ExPE7jjl3gU5SqTfG0SDgmbBxOgue/ALsv0leez29gzQ5d+HoqOun7fZhT0r1xjj8LJM+QUVnYbiyGnnc7iwsLQ8bf6/pyS8Ae2OS1966p3Se3sF0c+7C0VDXT/vi0rWx+m+jLPPONDGCZ4LGHaLv6RHUM32RvTLJa6+nd5Cmo3buuqdyVNX10776nR/Gep7veL3vFOtprzfG0SHgmaBxOwvmbUI10xfZS5O89qayWhCw3VE6d91TOcrq+mPlcKft52HaCXgmaNzOwlF7egRdKVzLXpr0tdfTO0jTUTl36+6pv/L178bTF68e6nAL6vpps1lWGfJ40E6q1OCZoLNnTsTcYHbba106C+ZtQjXTF9lLrr3AUdI0gmHc2iOQirp+2i/+9ANj9d9gWhnBM0G7GeZ7VJ4eQR+mL7LXXHuBUYe5Rk3dPXWUUbIcVqP9tOHKasxmWayurcfLb7wdn/v0Qrz8xtuH8rzn6BHwTNhR7Cwc5sYQ45vEcWH6IgD75bDXqKm6p1YxSpbDqjiPy+f5C68NjeDl0BDwJGiaApU+jaFp2m721qQayUep+CUAB+uw130r31Nnxqg9oi23U7FPilEh63keC/bN1Drs5zkIeBIzbU+Xul4kp2272VuTvHkexVFxHF46RzC96qYvHaYRLaP31HLbLGL7KNny9er0w/fFC68NG9tyR+0aV96HRWA2yXbuUdunha6fu+/+qTufhyurcer85ancv31DxKN6zLBJwJOYaUuduxbBnbbtZm813TzhqBJ0w/RaWh5GFhFVCyZPa9233XbiqkbJnn74vrjw0pvx1MWr2/bHcGU1fuvbP9ixf4pVuApH7RpX1b4tTKKde1juG32P1a6fe5z901SLqsvv73d40jdEbNsnwp/DzypaiZm2VYXqGj3l16dtu9lbdcdFFmF1Do6suqD72W+8HqfOX46Hzl2KU+cvO0fgAFx46c3KcCeLmMq6b0UnbriyuqsVsBZPLsQr556IPzz/mTh75kS88Npwq/Nb3h9V+ydis8P5zIvX4rlvvl77MG+3lpaHW9fJN//4R1NznWxrx+62ndv0gDQV4xyrXT/3OPunajWtrr/f9llGj9NJ3c+7hIhtP1/83KSuG0w3AU9iugYq+6Xr0vDTtt3srbNnTkRW8XoekVSjJCV70ahgsuoa+iuraxpbcMDqzs88pnOkxG46/nX3i6aOZJvVtfV49/pa5b8NV1Z3dU0rd0pvrG+MdZ3ci/tkWzt2t+3cw/CAdJxjtW0aVfHdjbN/Fk8uxPNPPhILDd9N3e9POjzpckz2DRGb9sk0BIbaq3tPwJOYroHKfhm9SGYRsTA/V1mFftq2m721eHKh9klfSo2SVHgik4auDf3Uns7CYVB3fjZ1Ag/SuB3/Ly5di6cvXt12v3j64tV48NylTtOoqx7edLGbe9IkOqVV98mnL16NLy5dG2ubCk2jQSbRzj0MD0ibpkPVuXtu0Pj3iuOp6/4phwoREa+ceyLma96n7v2b6nQ1jdKt2pYHz13acS5WnSdt33UesS0oadon43wXTfqGNXXt1ZXV6nCY8ajBk5hpXFWoSxHcadxu9tZCzY0kpUZJKtS4SkPXJYojBKGw36rOz2l+EFXXWWtbAauqjk7dA5myuhpFhfm5QXx4c6PyGrebe1KXMKutrkjVfTKPiN/69g/isU/c22u7yu/1uU8vxMtvvD3RVbRGi+qW9/tgJovrN27GQ+cuJdGenq1ZrW02q48LG/4pIm44KbCyAAAgAElEQVQfT13O26qaNE9fvBqvfv+d2vcZfX30u6hz//xc4yjdpeXhVv2b0W2pq2n19MWrW99tl7bDaJ2ds2dOxNnf+W6srd/+64PZLM6eORG/8vXv9v4uyuqOzS71i+raq//+PQHPJAl4EpTqqkKpbjfjSa2xnLLDMIT7KKgKuq/fuFk5rUEQCvsrtQdR49xj6+oMddX0u3OD2Xj25z4ZERFPXbxa+TN9AplRdWFWMcqiqahsRDR2zoup412Lz1a91wuvDStHr4+rKgQoOtLzc4P4YOS+sZuiy/tVbLcqUGh6PSJipWa636jiO33+yUfi2W+8vjUK5M7B9gkqdeHeb377B63vX7XSXFlRp6vpOCuOsS7TIMtFlJ9/8pF4/slHdqyiVVaEQ1X/trae156Xo+/ZpktA1XQ+1bVLb6xvdHr/um1K5bq9XwQ8wJ5IrbGcsnGe5HIwykF32zLFwP5J6UHUOPfYSYf+s1kWG3m+9d4RsWM6yqjintR35aOzZ07E2d/+bqxtbO9OfnDj5lbnrmpUwNMXr3YKtIoaQW0h0VsrqzFT0bme1GpZTe+Rx+3pguXpLOO8/36uzlU3ortq+mOxH7oGkc+8eC0+9+mF+PDm7YDg3etr2z7LOMd9cax2CWRG63S1hZt9t6X4bl8598S27+Whc5cq91HXoKas61TULvvjrYbzaf74oPKh1h2z/arG7GYU0VEg4AH2TEqN5ZQZLZWuFIJQT8dgOvW9xzbV4BjHRp7HVz7/aOWy6mWjq5GNM634Zs2ohNGRG2Vdu7qzWVa7Tc+8+HsRke1YorpsN+FZ3TLYfd6jCKm6Hg/jfAfj3gu6tlG6jJYpW11brxyJM/pZ+h73o1PguhxDRTiyeHIhnvvm642jcsc5B6u+90mey33ai12O8/vn52qPr48cm4m5wey2fxvMbAbFXacc9hlFdFQJeI4wjXY4HFIICag3zUHofj7lBXYap61W9ztnz5zoPKqlcM/xzWlQVZ3Wu+cGjR2tUaOjHNqmFY9u/923piTVDUyYRHHW9Tyv3abVtW5TR3YzYrbr6mXFe9R17Ptcm/tO7a6rY/PUxasxPzeILNuc1lR1jHZtozTth/m5Qe/vuthPvY/7rPp4r1IOR7702U82hllV9XHaVB1bfWr6tSmmF9ZdN9pGl40qPuvTNSOZ3ltd2wqFR8/vmxv5tqLLhfK0tIVbU9u7jCI6ygQ8R5RGOxwu0xwSkC4FvOHgjNNWa/udV7//zo5Cy6P1Xao66nVTSbMsOncwR6eA1I0+yCPi0ee+FR/cuLnVAd6P1XUWWoKTNrsdMdulMzr6HnUd+z7X5r5Tu+vq2ERs/47qjtEubZS6/ZBFxNUv/dU4df5y7++oGNVUddxXmc2yzuHLPccH8aXPfrJXmPXq99/pFe7UHVvl92kLXuoszM9VnuPF9/jq99+JF14bto4ui7h9/Xj64tXa7bn/1vsV23/q/OXKKYfPfuP1bQXbR+sSdXHUSxQIeI4ojXYYn9FvHBUKeMPBGaet1rRU8+hT86YRF2V1nda6p/Rl5U5q0+iD/V4ueXTbmorQllXVHzp1/vJY7YK26TazWbajiHPdtg5XVjttR9+p3X2u+atr6/HUxatbq1x1HXFWFx3cPz8XS8vD+ODDm523ofDcN1+PxZML8eXFR+KxT9zb+B2Xpw61+XHN6K66MKtYxa6rPiux/Yk7j20LRrsY/b7rrhtf/c4POwVH5RX0qn6n6vhqWnlsXEoUCHiOrL1stOv8cpgZ/cZRooA3HJxx2mpNHaai07SyuhZzg9n4yucf7Xzfquq0ti0dHVE9yiEi4iPHZnY1vWQ2y+In5o51nkpTZzQ4qaufUpZFxK/9/Ke2fm+37YK26TYbeb5jlEjdvs/i9iiHpu1oGmlS1Y4fp+bLOCPOyuYGs3H64fvGno40+n027bfZLIvPfXqh0yifQl3YWtcP6lI8ejbL4hd/+oH48uIjjX+vPCJpZXUtZiJiJovYyDf/zp2DmfjgRvU+W5ifi9MP3xcXXnqzcfpa11FBdYFMOQgt76tJ1wXrE4odZgKeI2qvGu06vxx2Rr9xlJx++L7KApanH77vALYGjpZx2mpdO0x97ltNNX2aOt7zc4NY/vt/dcff2m3tkJksi1/7+U9FRP10pe0/v9npLSumpxSq6qdUGa0nFLH7dkHxM3VLXHetwVJV5LppO6pCu7p2/Oc+vbBtqk5X44w4KxSd9a41irqoG7lULEPed5JTOVBt6ge1PUSfzbL43vN/bevv1K0SVbWiXETERtz+wfU8jxs3N2Iwu33KWfFZI7qdO7u1kefxh+c/U/lvdaOymoq1F+YGM/HjtY1tP1eM3NEWj+i3Jhm1lpaHcer85Xjo3KU4df5yLC0PD3qTGp09cyLmBrPbXqsb0tbnszXd5OAwMGWFo+TlN97u9ToclNTaYV30aas1/U6dLvetosM6XFndKoL61MWrcfJXvxURsdVZrPJe6an+0vIwfuXr3x27U5nFZqf/nuODrZEHHzk2s1UIejbLtn5u1GyWxWB2+6tV+3Hx5EI8/+QjrUtGl/+9bj8W06W6HJOLJxfi137+U52/79FtLfZLXae4T/ukrh3/8htvb9s35X3cpNgPVZ+/qe7OK+ee2Pr9cc3PDbb9d9V+K0ZxjdOOm8mybZ+raYpk20P0ItwbPecidoYdVeFOlbWNPD56x7HKz9onNCufO2Vzg9mtc7CsvH8KxWcsj/y55/igQ7gzG3cOZmvDzPL7HLb7QhdG8ExAiqNWula07/vZdH457ExZ6c+0zf03qX1e17B2TWeapNgO62KcFRKrfuf6jZuNSzc3qesIvnt9LZ558dpWZ7ntvlh8R+MUgo3Y7Jy+cu6JWFoexvD3X4vhymb9k2K62f98a7pZVSHetY085ucG8dGPHGvdj6OjWr64dG3HlJ1iytBonZv544PK/dt1utToe0d0/77LI3DqihD3aZ80teNH36+80tmNm+txvWHFsbrP36Xg9rgGM1k8+3Of3PF6XY2ccaYLref5ts/VNEXyZz/18cZRULNZFg+duzR2weQq762uxdUvbY6iK76zvivpffSOzbigCGOOD2biI4PZbTW8IqpHBJX3T6HuunL8jmNx/I5jtd9DMaqrrv7X6P4/rPeFLgQ8E5DqlI0uFe37fjadXw67voUJUzTJQOYo32APStM+j+jeeVhaHtYOla67pk9ySef9cFTDx8P2uVNth3UxzgqJ5d+pWwWry32rqcNbjEyoUv77bSMGilodxbLJ5Wklo8Vgf+GB7Vel0e+6roM92tHtqijMO3qunH74vm2d9OHKagxmsh1TYZqmSxWfo+r8282KmG3tky7nfdd2fDnsGb3H1Kk6JydZcLtLiNe0D9qmHM7cGshSHkAz+rmaQqJiFNSz33i98rMVoc6kwp2I29/bbqZGFiFq4fraRlxf24h7jg927OOqaYZV33tTkPiVzz9aO41uNARtO04P832hjYBnAg7zqJW+n+0odH452sZ5opqCpvneuwlkUr7BNjUEp7mD3DREfHSVi7bvtq4eQRZRO5130ks676WDDh/7HkNVPx/R/1q0X597P8+Rw9wOm4Td3LdmW0YTVHVUqwort30XPzF3bOt36o6dpeXhZqfugZ2/X/z9ST9oLAcuJ3/1Wzuur1UjhOo6+cX5thfnX1vh5C7vO047vs90n/Jx0NZh7+PZn9tZzHtU2z4ob8toW6g4pttGjpw9c6J2pa7RUVCjx/gkR+yUNa2S1dVsljWO4ou4vf+6jKyJaD5Pu1yvmo7T0fZsl205jAQ8E3CYR630/WzFyTeaTt85SK/U0zR33jh4u3nCdlDaworRG2WfIo1tUu14tY2C6dJQXloebrsW1q0mM2l9lh1t+m7r/k65wGhhr5Z0nvQ1uKnx1+VYn8T32jdkqfr5s7/93YgstkYNdO0o7kfout/h2WFuhzVpCkLKo05efuPtsc6ncTqex+841nlkSKGqsziqbZTIzK3pLXfPDSoLy07iQePS8rB2la3yCKG66VJVneVJnn917ZO68/5Xvv7drd8b/f992vF97udV52SxzQ+du9S7yHFhfm4wkVkJbe27tpEjiycXaldjm8myePDcpa3QdGF+Lr7y+UdrQ5HdGsxEpylZWUTtNLu2pePL+69pyt2p85cbC7SPnqdd2tmjK/HNZLfbDm3LxR/2+0KEgGciqg7SwUwW12/cjIfOXTqQgGBSAcW4I3I+vHn7AlG+aU+DPp1dU0pIXdsx3eXJznBltfP1rMuTqf26wY57LWwrGN/WSFxaHu5Y6eLd62tx9ne2N6bL29olOGgbydH3aWBd47yuoVZXgLSp0Gjf9x5d0nmca3Cxj37hgR/F3xtpVHYZpl4UBK0b3t/3e63SpaPRdh5VFdrs0lHci9C1fExev3FzTzqxfVZz6tJWSflhTt11/dXvv7NjCtHoSnh9z6e6+jpNqo6ltukvEf3PgVHFv62srsVgJot7jg+21QjZ7fdaFIiuUxSTbZvuU/cZ9vqhR93fr6uR0qcdX3evKE9Tazsnx10ye24wW1lrp6zLta/tmtDlWlO3Glt5ClZxLtbVcNqttY32AtVFbatC1edvG101uv+azvOqa0/xXnfMzmybgtWk6j5e3A7bpvUdlVklAp4JKB+kxfzh4mRtupnuReNikgHFOMN6m57ITkPDaZzObipTSqBK2zHdtWFZrKDSZ6RBVWO26QY7DfV/tqYBVOjayLnw0puVHfC19bzyWtI1OCgX/awaydH3ifvoHP2mWhMRzd9dUyN/tOPT5XfK+lyDt33vD2z/3rsOU687Vrp+r23HcVtHo8t5VKetszLp0S5V51mXbSv/jUks+tB3ylvKD3Pqrutf/c4PW4+XPudTUdC0z1WlXFx5tH384c31yiXLC5M4B9Y28jh+x7EdS7SPq0uB6HJQUjUSpslePPT44tK1sY6Hvu3gs2dOxNnf+e62UROD2Sw+/5ce6DVyrCocmIlby3+PGMxkcdedx3oHeG3XvrqRks998/Vt71UsqT56ryxGylT9TFM4ubq2Hh85NtM6UmYv1K0kV7Uv66adRWwPNxdPLsSr339nR3HyQl0dqo/dvb6rByRdLCQW4u+GgGdCRk+IU+cv77iYV10Y96pxMemAou90lKYnsuVG/l4/PatLosfp7DZ1glN+Csjh13ZM931qNnq+jE53aarVUBTQbDo/qsKLroFM1fk3zrWwa7HIKqMN9KbrRVUHvG7/jwYHS8vDykZT3ZKpxT5v6xYVc9bL96MXXhvG5z690LmBXtcRzGOzcXjhpTc7PQ2t0zSyZlTT997nKfnq2vqO7e7yvXa5t7d1NJ775utjN/abOivPvHgt/uJP3R1vraz2erJepe3Ybdq28t+pG4kyeuzVjQoqT+f7yq3VlNqk/jCnaUTGbn6/rK3DVlYu6jv63fYJOnZTMyRisiNium5LecpTcR86iFEFX1y6tm3kVpvR/TXWKL+KC/9jn7g3vrz4SOt7l0PAOwczO1ZoGm1nFAFe36mxbaNvqq67axv5jgf2zz/5yNaol7rr1+jPPHTuUuN2vbe6Fl/5/KPb9kHTMTM3mIl7P/qR24MKPlyLhgXMdsgievVVmqadRewMN19+4+3Ga0VVHarhu+u1D4LKxjm3yyOVDjsBzx7oemGsa1zUNYTrlDs3kygqtZvAomkbyk849/LpWd3fr7tJdynQVzc1IuWngHtB4DVd2jqT4zyhfWtltdcT1o08jz88/5naf68LL6pqBJR/b3Tky9aIlhivkTpup6JceLjpOth3VYvhrX194aXqosd11vM8/t35z9TWgoi4Xbfg1PnLlfejl994u3OjaPHkQuNTvqanoU2/V/4bbdfXpu99nCkAo+/Z5XvtEhy0FYgcd7j+YDZrLKq5urYe/+J772w7jrKI+Nynuz3IqSvG3kVdJ7ZuO8thb51xp/PtZqraNNzj6o7FtqLIo7/fVbGaVNt5Wp5W2vd6OnqMdPke5gazcedgZuwl4Lvqc80od3abfrdvR7uPr37nh71+fnR/9R3lVzWycW2jerRqWVUIODeYrQxqd9vWbhrp1/W6O85op7b7TlFYuGmgwKg7R86TZ168tiPcuef4ICKi8vOMG3TUTTsr9BkVXlWHaiNvPl52U5T6qEzLGpVe9dsE1F0Ay683nQDFhWtpedj4XsWFcXjraVzbBaSLqr/ZZVsKTSdReQpDU42L3ar7+3VGO7ujywFGbF4cTj98X+V+qUr8J/k5xrG0PIxT5y/HQ+cuxanzlzt/d5N6790cP8XfOMjtP6j33it1x/RoMbu+hQ3vn5/r1Xhvu/40hRdFg7nqu3j2G69XNiyf/cbrna/Fo8Z96lsuPHz2zIkYFGuqjmjrgNd56uLVsWoT/OlnLsWDf3KudluKugWTqstSV5+nUDwNLU/3KxqkXRTX17pztel7rzoXIjY7Wm3v+dTFq/HBhzejYldu+1677MvFkwvx/JOPxML8XGSxud+K+gNN947ZrHlLj81kW8dhU5Hs8n+//MbbjX83Yvu1vervlBWfq/z5yrpuZ1dt99/iuKn7+23Xqmm5x1Udy1lE/MyfvqfyGC+7fuNmr/ddPLnQen6Xiyv3uX7cc3yw7Rip+x6Kc6A4pr702U823t8moe28KyseTHxx6VrttWVhfi7+8Pxn4pVzT+xJONjUAW7bX21thrLd3D+69gUm1WdYPLkQr5x7Yse+7/N3+o52qrvvRFTv17b9VtREqhvpWYxumuR5sXhyIT736YXGc2H0QXmdwUx9OFM8OCxfG8vX3LZwp6jB1XbvOcyM4JmgpidbVSdVW6LbZahw1w5Cn5N6t8OWG4fyZbdrMYx7Q+i6akSfzlC5sxuxM+Gv2y9tI4L2216NjOr6xLJuPzWNwpj09o/7dHUaazJM4klx3TEdsfmk6K2V+ulV83ODbUtrR9w+X/qs/NB2/Wk7X+quQXVPuYrX+66mMu5T8XLHp6r+wkx2e8pVxP5cIzbyiFe+906c+jP3xutv/Wjb/rrrI7ebAJOqy9JnylXEyKoXH97s9T5NSw03jY4pppuUpy50DRNWVtd2PBn76B2z8Q/+y+0d0y77sm76c9Nx8Ys//UDjVJnVtY2te2yf+2D5PbtOb26SR3S6Xo1bWLVJMZ2vfL1rq4fSpa202zbSpO4zVVOn8oj43R+8t2Nq5emH74t/+t0/2vbZi05ieSpc2zTMLiOhC3XfbXlJ8dHQu6hjUlcD7PknH4n59/4g/uYXHt/2N/dyRNU4K4mt53ntuVoe8dlXl3ZB3T1rNst21JAp/37fmlZ1RYK73D+69gUm9RCi73ZU6TLaqVyXJmL7NLNiFa2q/drlmtjW/+j6HZanx2VZVNY2WloexguvDRvPhdEH5VXXieODmdop5RGbK3lVXRvvHMxUftZiGnrTdh9VAp4JKd+w87hdPb7uBD798H2tc5qLNLPuBO1yQepbVKpL8ce2C8aXPvvJHQVDIyLyPLaKho7ToeizakTX4eNV+6eq4d13GcO9KJjXRVOR63EbQEvLw20F9IYrq7WrxjTVBehSbLxq6OV+BUTTUJOhfLMdXe5xtwXTm2qA1RVDLkZ41NW46doxe+6brzdud5cGTXFsdS0cWXRmPnrHbFy/sT52kce5wWx87tMLOzobo/9e1Vgv9nndMblXK2dUeeV77+x4bXRllHFXISorN2S7qOtwz99qtFXto7qlhp/9xutbSxVvBmk/2nGN7zJapUm51EG5vbrbfdnUKW6rbRBxeyp0n7Dt7rnbI6j6Tm9u0uV6VbWdXe7fTdMQIm6PaK4qRF6la1tptx3Nce8zVW2vquOhbmrly2+8XVkfsk/ds+K1X/n6dzutjlh3Ljz7c59svB+11QC7cuUPdmzXXt6j61YSm58bxI9+fLP2XlR3tJVHfPbRtY3ziz/9QGUNnmLJ87ZpOl336dLyMN7/8c6AfnRU4+jPlleK7BoO7eYhRJd+S9eguWq0U92KWeWi212/89MP39erflLZ3XODbQF3XV2yphpZXRagGdX1QXndPs4ii//vx2s77qdNQVbb1P+jTMCzS5snx+/FakV1qyLcqVp+rmsAkUdsq40xesJFRKd5iMOV1W1DD5suckvLw9q/effcIB597lu1F4Dy377j2Eys3dh5Uq6t57WNg7ZGcF3DqOpCOBqy1cmi/SZXaGp0141wqFO1Wk3XJ2jjrs6ym2WHn/vm6zsaxmvreTz3zZ0rozV1WqsaseXCunXHc1NANGo3Ic1ePyEa1aWeU1XHd1KBU93Nuq4YctX79elAti2z2uVv3T8/17twZETE9RvrnQuvNj31euwT93Z+AjeqfrrouJNQJqc4norrYPm6NPpEvU9BxiLYKq+s0kex3HFZeVRW+XdO/uq34jP/8ce3RgUNV1bjqYtX47lvvh5f+uwnJ34+l8/Jvk+/y+oCj5/91Mfjtzoc+8Xnq9qOles34oOK+/LoqPu+05ublOsKlrdndL+Uj726QLXw/o9vxmC229SZpqfGEZNpC3TtaI5TJ3HcmoJd/n5VQNR2j/kTdx7bcX+qW5Enov1cqDvm6mqArayu7RihtZcBT1NQFRG9A9C2qW5NurRxlpaHtUH2BzfWJzoyuar+TkTER0vT9epWipzJuo20HTc47xqIVT10Lx7uNLXPm0LPcdprxUiZLqr6H4OZLD64cbOyvR+x/VysKlxft/1N4Vfbg/JOBfmznQ9L2hzUg/QUCHh6Wloexr//4x/Ff3vuUmuV84idq6WUR/l0UXXzffYbr8eHNzc6DxuteoJVvsg1LQNZXDCqGtVFA270At2WgjctF/jsN17fUYQzot8T4UIRsrUVxeyi7QbftTFfdbMZ7bCWVxAZ7UzODWa2hYlVN6quowJGL9xNoVFT4bny63VPckaVz4muK3OUt7nL3y+/XrXiU3Fjmo/uDffdTpuqa3DUDUPt+hnr3qtqW+v+Rp8nIm1Pc8uavr/yyI+6aa7FSK4+8lvbOPo+TeqetI3zlLipQ1f1YOAgDFdW46Fzl3ZMee06aq/RLjKsYrWUso/ecax2ZE/E5utVIWCx7HzTNbKYOtK2KlzZJEOjuqk3L7w27HR9H71elY/ZutVcVkb+5l4E2sOV1fjbF6/GbKmdULWsdOGxT9wbT3/9atR9BWsbeWtw01Ue0WmFtoj6AO70w/e13kubVuhrao+MW1Nw3MKkdcdAXWH4may+UHeX62afhytLy8MYvrsaw5XN+iL7MZW6S1BVdx/sUrKhjy6j7NsCp0mOTK67v71X6h/VBUEbecRP3HFsx5S98raNG5x3DcReeG1YWXy+yypgiycXakf5j95fuzzMrXv4VnUcVfU/rt+4ueMeMdpvHG13dlG0nesemLcVbe5yPM5mWeQN16auD9Knofj9tBDw9FAcpP/9wxuRx0yn5R5nsmzrxG5LSvvo8t5lVRfW0Ytc0/C7Lo2ocZ/SlpVHCHVdXaXOH7/34zj1Z+6N3/3BezsuDqcfvm/rKdDdc4O4cXM9rld0uoqVIZ5/8pFtI7Y+vLker37/nfjyYnsBrz5LypaHTReNhqoO4WiRubb6AmXDldV49Llv7ZgG9PTFq/HUxasxf2uKUFd1N/BReUQ8eO7S1vD6vkfNcGU1Hjx3qffc5Txi27FU7NPiGPs7n1qPB//kffHWyvblg2ci4o/e23zPLDafNN0YOdarGpdtN5m+9ZzK+hRMr+ukT6rmSvG5uj7BbOo8Vj3xKe/Dca8HXUeATVJbh26alIse143aK0bCtM11X1oetgZ/TQHK3GC29niqG9nTxdp6Hnm++dCi6lqVZVHZKW87tkfPm65PjJvqyX31Oz+sfLjzkWMzjftmJtssnlsO7Ea3s+2836upgxsRsVE6ppo6mq9+/53acGcvdA0K6gK4i//yh3HxX/2wNsBqamMNZrK4fuNmPHjuUuXowL6hW3HPGtWnjkzTaklVn2Ej3/z8l37vj8aqg9HnfnThpTfjFx7Y/UiJvpqCqrr7YJcRIH217auutbImEeQ2dfzL313T+723urY1tbbJOA9ZuoSHVfssj37TeZumeBX316qHuRHbrzdNI+0W5ue21cp56uLVHdeLujbSOP3G4nNdeKl6EYwutaTajscs2guCd3mQPo01NA+SgKeHvgUGI7Z3IqfVcGU1/vQzl3oPjUvFep7HK997J/7cf/TR+LdvXx8JS7ZP7Wq6+BVPfv/yg/dsC1k28tj6G00pf9dOwqg+X8dugrCqz503/Nuo+bntK9/0aTDstgNRfOYiiCqe6I/X7Yu4uZFX1inZiNjaIXnEtnCnUNQIevri1bh7bhA/+vBmrG/sDFWKm8xurgd9nv41ddLn5wa9CxDXKTo8XeridA2Q6hpyfUZVlO13PaWme0bT8r4HqdhHTdtV/FtTcFE3GrTQ1qgrOkV158puRm68t7oWX/iZn6od5VM1qqQprCqfN12fGJcbo09fvBq//eoP4nd/8F7te723uhZf+fyjtQ8LNvLm76duJOrph+/bMQV7v5TvG+Vpu/up6hrRtfZN20O0xvvjyIi00XZjWyBfZzftuXFWS4q4vUJeRP/OVZ/pN2+trEY80G/b9sNup2Z2sbQ8rCxIX4wgi+i+H/qMWitvw+iosK4d/6ZjeC+n2nQJDyex6MvdFW2qNlXXm7rtLUbK1JU12JqpMUHFvaFuWnyXWlJt+zCPop7azuO6KAjeVCqgMA01NKeJZdJ7mOaQZrcOa7gz6g/+wwdjdwwjNjvGVQFAxGbI07TU6TjhYAp+9lMf3/bfBzUfdmV1batheVCH8nqeR35rW9bLy3bfqlcUcfuJ1ziKm11EdFpit6mTvrK6FpFvX566CKq+uNRv1EmX1RUKfZfmLfvFn65o2esfVjwAACAASURBVPewn52Apvcqlvcd91jYS33udcUU3dHjsMv1ru1IefmNt+PsmfqlZXcjj4ivfueHtf8+OioyYrNR2XRsl5dgrfveR/dr3RPjV773TuvUm8WTm8v8dqnjUfVZysuz/8Wfujt+89s/OJBwJ2L7feML/9v/E795QOFOoWpq/eiS6Gd/+7u9zpHi7zXdH+s6hcW9Y6/OhSp/8afujgsvvVl5f+lzjy/uJ12Wgq86LuuWNq7bht20P+qWre+7nH1xbu7F8ufFsVj3UO6F1zaXk+6zH4ogrus9uety1VUd/7NnTtTWVNvtimJN31HVuVOEh8Xv1l1vuiz6UuyL0TZVn/t6+X5RBHVlxRTQpvB7nAcf83ODrfNufm6wbXnxYnGJOsU9qOk76HI8vv/jm5GVll+fG8zGr/38pzqfQ/tZQzMFRvD0sJsnxxx+xYiS0aLYEc01gFL3m9/+QVz6vT+KL312c0WMqqdwdVMhjpoibHnum6+P3XlZz/P4uy/+3rZphLsZhrq2kcf7P97eWFzP89pRaXVTSp775uuVndJihFfV0rzjbO/oNhWjhfpel+8ujTrbS01P4orPXp7qsR+KZb3HqWtWp7j+/b1/fK2yiG9fo8u8dq3x1Efb3yvX7Koz+l0WK8TU/eXs1s+MM+UmYueIhq5/Y3jrs4w+BR3d5r4rRE7S6GdaWh7WPkTZT6Mdkqogru/9rJiWfHwwE7Mz2Y4HAG3evb62o0bZXhr9DopAq5iW2XeUwujogrbrftfpN2fPnIjh77+27bXd1LXpszrrQU75aAvOizC3rh12153HKh/69Bnl0PVhZVX4XPz98ipaRfux0HXZ7uJnRws3j47sLk/jb1vUomycRV/WNvI4fsexWP77fzVO/uq3Oo3QLQcgddPCXn7j7U6rKPZRN/2p+E5O/uq3WvdP1fnz1K3RqL/13/2VTgtorG3kMZPdnoI2zui3uvZWeUWxo1KXR8DTg3CHLspHyWENdwrvXl/bVrNndMDuPccHcePmRuVqalWOD2Y2C2dOqJ7TtCnXRBhHVY2o8ko1WwW3OxSCr6vz+9Xv/DC+vPhI7cp/o43gukbMe6ubjbKqpXl3M2z2y4uPbAufTp2/3Pk8++DWCKL9uMF3mXZQfI69CHnKtRGyiPjCz/zU1nu++v13drUUa5VJhDsRtxu9TcUrR83EzuXLd+PuuUFro7SYFtH1+Mvj9hLmfafclIeqR/SbtlPXMa2rrbBfRgvzPvuN1w9wS24bfYI+yae/VdfuPooAZBL3kT5Gp14V9a+OD2Z6f57Rqcy76WgtnlyIpT/+17EwPzuRTlvd1I6qKcdFsdqD6CB2ORZHg/GqhzEPnbtUeb73CYvbNAUjbSFe27LdT1+8ulX3MmLzmlEXuBZBw9/++tX4r376p3YUAj51/nLt9X02y2qLhhfaFvRoW3AkonpfNY0AnfSI3+J4LtfhbGvbRWyO9Fs8uVC7H1/53jvxxaVr8dgn7o0uY+vXN/LOKxlWqQs261YUO+whj4Cnh6YnxVkW+1oMEKZJXc2evvVFVtc24j/5M/fGv/jeO1OwgHR6yjevZ3/ukzuWJe1qPc9bV/4r17Equ//W05gqk+w49VmufW0971Rjo3zzH2d1hi41GeoK6u7WYDaLz/+lB2qLexbz+Nt0CQknrdzorQsyZrMsNvJ8x2qLo593/r0/iH/3hcdrOzZ1759l7UuDF9Mi+ky/LY77s2dO7BjtWahaLaUId4pRQn2/k9GpWqNPxw9qWlbh4r/6YTz2iXtj8eTCgW9LYfQJet8gbi8UIyG7nrN7bW0jj/+fvXcPk6u67kR/55w63apuCZUEMoZCEg87kiFCaksYxWQShG+QbRnSAQcNgW8yzmQy38yd+S4KUUbYjIUYHDSjseHOvTd3bpLJJHNNbPFyByximGukTKJYgORuIQsk2xgkURJGIJVA3dVdp6rO/aNqV+/atdd+nHPq0VL9vk+fpO6q89yPtX5rrd/6yAWz8Edrl1iPJTGjR9YtlGqgwCOT9rF7043k723Wa2ovouz9fCGwChJE7ewjfs+mgx5FpMRtrqD0g2rHSZps4xGiGgyxWTMorUyVDVIOQzy1L1c/jwyqZ0k1HEn7LuYP9ivHgmrN0fmaUTLmZc9QZ9sBVQLnrj/9gXJ9fGzPUWx/+ZjRNfV5zaoxNnNHZm9RHcXOB10eLcHjOM6fA/gCgHfDMPzF2s/mA9gO4HIAbwG4IwzD0627zO6AKoOnR+700EN8MA2KHqKD37zipvXH1Y5as3QBKbycpF6TuLHrlmOZxgaVhi9zqG2iQKqIpYkYcRSwEizVeU0yhjJpH2Obb66W8SjaVVPgCRjWHlbMBAOmyweoNHwqE0qm0SH+f9eunwBQk0R8qR9zLk2yhjzHsZ4ffGdNGZmt6rojliPYgo1bWXS8UwjKYT0DtFvArw9rli7omOAzg+NUtYm6aW9kmSL8fLPNLKK6hcaNsqvWdKCZBNatDTKYOohRO/vIvue7jrI8zqRMzUbMWgbVXvXm1nVGx1DBJPATApGyqFhWMoOOvJUJ4/NjZ83SBU0EP3uW1P4xGVTILBWTkmDV0q/rotUK7H7jFNlFDbWfm+xXad/DxXP7Gn5mMndkBBD/fK8g1qTzQZfHJIPnLwD8nwD+O/ezTQC+H4bhVsdxNtX+/2+Tv7zuwrmspdJDDz2cO+DXqXr3nAiOYZxNMO27pPByHL0ECryzoSuZ4Z3siWKJ7LwA0DX6JlEgXfSpFeLrMk0DEaZlOXw5WxSdlkoYSo1+24h2Et1pbEgidi7VGFK1KleBd2JPjRdx1+pFxi2UqagwUCXjpkoV5TVFIaTagW6Lj12aSUfOlGoFTk8EXUXuAHKCPoqNTL170yi7bC2hSq4eeOZgwxxhDiMTkhXXhk8umks+d9neKI6ZAd/FZKnS5JSb3Bul75JJ+xjsTxnp08gQdy2l3rGJ4LsJTDPm8oUAQw++gME+z7gsuByGDSTkgO9q9aTYe5aRDd/ccxQDvot5A37TO6D2DyqwZdtpVxY8OZ4vNAjqtwtx129ms2TO/KTh57quWCYEUNyMtZkMLcEThuH/dBzncuHHvw7gxtq//xLALpwHBE+7mdEeeuihh6hg7U+j6qx4joOPzp0VidRO+x5ch9ZjKQTlelexVqTJ6kq2eCebAjOWVAaXigAzMT6SiiLxETQTEWvT8/LlbFFKVSgjylRMNe53xO8D5o6Nbr9/+Lb4ItWFoIydh05qdQdMIrv5QoC7a2SRLEsqKiF1voG1BbZxtroJqmi6DK4jzwpgx8mk/QZ9DmD6Ga3Y8kKDWO66ay+xLllUQbVO5QtBw/mB5gw12XdEsDnIz2dGhO75GV2YIK5tsuw6lUaRbg2mfn+mEGBs883K7+pgspZSJHzcDCAdbMqtT09U9aCiCJcD1ffjQD1nXMdRZqZNBBWEcPDI+hUNz1SW+ad6TrbBHpZtmssXGs4z05IQfNepB6RYti2DSouICuKJ5Gmrx2s3I2qb9IvDMDxR+/c7AC5O6Hq6GsND2YaWwj300EMP3QomMBhVRHf1lfMwPqUXCRThOFXhVF1U7fREgI1P7o/cMl3VlnN4aLrlblSo9IP4z1BQRZ903/ccB3evXmR0nTLjVDyPCJvoFa8ZI7aaZWKrMnSjETU8ZN7CWLXfs85Za5YuiC16qRtjfCteHZ7al8PGtUvw1tZ1eGT9iqaW00lF2c8l8C2C2XPaeejkjCR3ADtyJ5P28Y07VtTHhVdrU5zNpPHI+hV4a+s6jG2+Gdu+uLzhGd2+MovtLx9r6o64/ZVjuH1l1nic6eaOKtshd7pAEjaeYzcrWbkZW+NYAEBVjsSvbSOjOdz7uF2GrG4N1rWCt23fbgNGVrH236yTGsvmNG1nHwXs+KYIKiH6PKehzbcNQqjnjEn5NL/fjozmsGLLC/imQO44gFK02TbY42CazOm2DEgbBJUQGx4fk45fag7w9y4D/yxbPV67GU5oMHhrGTzf5TR48mEYZrjfnw7DcB7x3d8D8HsAcPHFF6/89re/ncBldw75QoBiYQI/n1kkaQ899KDBxWn05nUCcBwHngOUDI3dPs/FxXNn4ednJlEsV+r/lxlq+UJQ/5wI13GQnZdu+t7hdz6Ufl4FdizqXLLrF897IHeG/M6y7FwAVUPk/fGi9NyZtI+Dxz9ARbJHM1Knz3OV18fOIyJfCJA7XZAeW0Sf52LJR+fUv0e9J9XvTBD3+xTOnj2L2bNnR/qu7Dmx9wPA+BnqoLrfKOOXOp7Ne08CruPAtVgLosB2veFBrRmquXuugLp3E6jGJFsvZGPNgQPPrb6rPs/FnFrbbuka5zi4jLi+w+98iHl9FeV+7dZKWEzArtl0rnmug6svuQBA9Dm1cP6A8tnL9gYAuHCwDwP9KXJdSmLNfO3EB9KMGP6+Ww3bOZhyHZQqodV7TxoL5w8oxwK/l4qIss6fS3AcB5fNdpC5YPr5RJ1b7RynncCaNWv2hWG4Sve5qF20fu44ziVhGJ5wHOcSAO9SHwzD8E8A/AkArFq1KrzxxhsjnrJ78H889tf4+oFeA7IeejiXcO+yUm9edwhpv4xC4GI6qbSIeQNhg5YM6yATgv9cIzLpEGObb2z42Zc27ah9xw6eE2D1lRfh5TdPG0Rmm6/3K0QKcTaTxsKrP17TaqhA3IbvXr0I/+vnlnHX3gwH04KWVKpyNpPGv7nrRvKK7x85oM3uYho1N8aMduk0d0ZGc7jv+wcaxoCDIkIUjTrqqLBr1y4wuyNKNxvqO9Xn7im/a4O0X8bDt10NoLGMLJenx7vJ8VTd4JiGh223QxVEPQoAsUrbB/s8TBTLTVoTsvc39OALynvp8xwM9tNi3kD1+Xzje/LuZjMVKuHuKFCtqdW16UYA5t0JZVpHLoC5AyHyE+NN3/3Sph34/WUVcr+WCaerIv6Prl+BG4eyRnuFuCZGXQfe2vpryt9Xj9vs8Gcz/QAgPWc24yk7i5ninypKkt66M/7xTbBBM5e7DdWxVgRAjwV+bojIW2rw6OAADZ3tbEs3TZC0Lu0fLi9j+NYbG34WRQvN9xxsW/rx8yJLR4Wo3swzAH4bwNba33+d2BXNAMhaufXQQw899BANMqPm9ESAe7aP4ctPvwpArWfAkC8EuHzTjgZSIGqb43IYYvcbp9CfctWtK4Tr3XvkFB4aXoY1SxdICZRcvkC2xwaAHa+eqHf6MBEIjFJjbtJu2YZYUTlyJh1tZPfIawqoNIVk5+aP+wfLyvinm3Y0aYmwEsYtzx7EumsvIZ1fSq8i6S4chaCM+55+FZNBpeHeKcNc1eGHHU8m5CrTIgKSI3kG+lIY/eq0Rkic0pG7Vy9q6Hqjw+ZbrpE6SSbC4wymAuQzCUmXJKjWVH5tEscaK2Phr4UJ0ooOXAXTY1JcA6rn+JC8Pr7Eiq2F1DqTSftaQVZe0FZcE6PsLSYlbNT6olp3zqXOQJtvuQYbn9yvFEDuJpiUcqnK8tiYSkrYPUSj5lTSBI8DKOdVFJQrYb0MkGF4KIsHnjlodRxeO/B8hkmb9G+hKqh8keM4bwPYjCqx87jjOP8MwBEAd7TyIrsG774LvPYaPvH2G7j2RIiSm0LRS6Hkegg8H4HrIfBSKHkpFN3q32XHrYpS9NBDDz30YA0TYkcEI1H2HjllJdoow1TJ7vyM1Nn+8jHyMypDi3e0TcgbW/FgXYt0VWcp/hh8FohInGx8Yj++/PSr5LtjZAZg1tWJIitk5JGYLRLW7pQymk9PBA1EnGkbY1vikDmJfFRVREHyvGTviWVk6ARtqU4/tu2X+c49OidBPGfUri6ZtG9F7gDJdFs7l5xkYFovKklsXLuE7Mo4wXXeM20RbvLM+TVg49olyL2+r+kzMsFo9j1qLX3g1msa7sum0x6gJ1pFiOs3RY7ryP1WdgaaN+BLCd92apAOD2UjN4joRpho0rFgAj8m4ABJVJwlXfwVAvV5pQpY2UK2z0chvM61dTwKTLpo3Un86jMJX0v342//FrjjDvwKgF8x/EoFDgKvSgCVagRQ4KaqRFADQdT48+r/a8QR9++S61W/w30+cFMoeQLJVD82fyzu55LvF4VrPB+IqWxNSFVldPfQgwoDvhuJhDhX0YpU4CgIUSVbVi2ej9tXZpWkRtL41kvHrIx+CqYOq02HKV2GwixCNJlhulSuCtm6GVRCbVmbjMxQIZcv4ONf3oFyaJRQFQsyQkl0xNYsXWDVMejrdywHgIbspSgY8F30+y4e23MUc9M+ZvkumX3DO3z3jxwgxyVrvww0v0/mBLNnoeooI54TiG5oRzU/4nZbi5rx143wPaclQueqbAO+i5+uzTGD6TNnY2l4KIuRd15DNuM1rIsbiFJAJqLMrolaS6MQhDbrvJgVqSLAdOR+KzsDybJnfK/a7ahdGBnN4al9yQlHA9Xnv2bpAnx3/4m22vs2GYRA4xo2MppLlEBJEmxeJdldOiliZm4CWlQzHT3BCRsE9guCixD95RL6y/bdaDqNwPWkBFEp5aPo1Iggz0Pg+lWCqfZZ+H2YdFxMudPkVZjyUXA8Muupgbxi5+TJJ3YOkiCbPlbFNa+H5tvTqrQsgPa2H3QdYFaqO4gDxwEeuWMFnth7FLvfOBXpGFHaWCZd39sKZNI+Hri1+1KJbaOKSSHThUQpa8fezqcR59k7DnDFph0NzkWSEXidAaVqs67L/mk12rkc8s9JJLVy+QKe2pdr0jWZKJakZEvad+u6PXE1FiaCSn1fyBcCpH0PN1w1X7o25/IFLSHDcKYQ4M2t67S6KVR0H5A7mVEJk3yH9DfiZvx1Ewb7Ui0rU2DrksxuYiSOaZmR6TPnycNM2m/Sm6HKRdj3TNZS2/XW1E7JZtIN9ia7XooAY59VzcU4mWoixHm//rqFiWk2RYGubTjT5hIzSEU4AO4SSj13HjoptVM8x8HX71ieGKESVz8OmM5k6uS+S4HNqyTtTVkWmiqjbPMt10izCce5TMLzFT2CxwYXXQT8yq/gzPvvo1Lx8M57H8Avl5CqlOGXS/Arpdr/S+grV//tdt2UNIdfKcOvlJEuTXX6UqxQzZoiCCKOPApTPvCD/wj4PtDXhycnytj/7gSm4NVJrdDvw/W/cDEqvo/vv3EaBXjWWVPKz/DH4rKmLphVTYmfIOrBbRbTOBkVfHoynzqayxcaBAwpx4aBJ3eqEWgP+YkALnEvnuPUN0bWgjTOBjLY52nbdtvCdx08cOs12Pb84UTJnbTvwXUQ+XrvXr0IqxbP74iT0m3kDpCsgGw7wIa5aamQLUwcbjHKzs/78wVz075S4LEQlOvlA65TfV+ZtE+UiVSMiRZbFIIy9vzsdOzjpGuZWzoHl9LGoKLUUQmTpMpNbMGuP+6e0w04o1iPowiOy6AicUw0xIDmzBmZ026SoRJFjywuTMY3dQ3Us8vlC7hh64vYuHZJEynEkCTxL8skempfrqPtpHWBiEoIPLJ+RVNJExOOVwmpU8euhGFdE4ra69K+q80+NSlztsFDw8uwavH8rtqD+TFtu046irIz2TxRZZQND2Wx5dmDTXZeT4enR/DY4eabgZtvxuiuXfjKnorRRHNrJAkjfhqIoHIZfZUAqXL1932VEr79pZVAEOClQyfw7L6jOPvBOPoqZXgcccSOM9938DufylYzi4rFpr8PHnkP75z8YJqAqp27r1KCV/t/f1jGfB9Io4KgMIXSVBGpcgC/MnOjV9WsqQD9ZQPH7u3X6/+8pPanCbVS748ncXEaNBNBzSRS4KVQ9lL1DClVyd2sdD9Ol0CW//FZU05/Hz71CxfjhyfG8U6hjLlzZ+POG67Eje57wGtngL4+DM/3Mfzbn6iTYujrA3wfV3zle8b3GGJ6YRYNC4ZyGDY4t7IIhu9WqStxr037LqZKFVTCKlF05/ULtYKyppCJLSaZnsoiPgDIKJJKdPXO6xc2RKpkBvwVRGemHroPlPZMHFDizyKYEUzN0XMdZwqBcWYeI3Q6RXAmQURMBBWjiKfMGWcOFa+3w689t6/MWmlptKq0yBTDQ1my3EeFJMtT+QwF1bhSZZBQJJmpNo4JVCSODeEiEhZRCKgkNJhsITunrtsbg4psT5Lg1z1L01K6dkIXiOCvz5bs0hGPKi0mimRRCXEnAT7IKiM7+jw30SCm2HlPRZzZZNvr9OMoIXb2O9kYprI9z3cdnh7BY4mR0Rx+/s6HtdalelRcD1Ouh6lUn/az2Uwa+LUqW3/954HruXNSiw0Ui8g1AH5isUn6tT8AgDDEr37tBbx76mydkGIk1cLBFL71pZVSUon9/dUnR3H2w4kaiVVCqvb9OV6IAVQwOTGJ2U4FYVCEV2omr6qkWAC/XIbPvl/7XV+ljIvTLs5+WIBbChpIs3MlawroXNbUP+H/81/MvvNTx20usauTSp6QrZSC++0+4OMXY7ivD9eNl7D3+DiCpu97yO9O4/VfuBjzf3wKvxu6dRHzwE3hul/4CL74S1dNk02Kvw/9Qx5vny01ZU1VPB+mW6LvOdj2xeVNRqiNUe+7jlKbhI/WUcRRiGntKNWcpoyec0lj4nxALl9oKtkCaKNdlmWXSfsolspWJZ/M2NWlyp+rCIGuKrtsB0wdOt7ZEImCjU/sBxw0iG4/tueocRalrV5Fq2CzTlbbH68jy7xtINtnVOXjuzfdRNqIFEmWpEOvInHiEC5RM1SSLmlt5Tl12T9JkCxRuxgCnXWQTTKjol6fjnhUjVuK+K2EId7cuq7hZ0llyfGgCEVVUwcV+DWEz1ad5btYtXi+kdC97l3JyC8+I4m3oSliUzXHTDMFzzf0CB4LsIXyXy2tANATPGnfUwogip+VbcZsgSgE5YaSmFZvknAcbFj3i7jv6QP4QFgE/+C2ZcAvqo/5/74yi8w+4BdB3hkRHeU6iYXmhfaqoSz+P4r4+vWrMXzNApJ8asXf3/vhUQSTU3Uyqq9WutdfKWEWKkCxiLRTwQVuiMmJSaTKAVKVchOpNVPhhRV45YpZ1hTDT6t/ZWt/SOwEPiH7+fcA/GezUz2p+F0llcKk48HzPdwJv541xWdQhakULlkwFxf9YLCBPEr/+H38p9AlSu58BJ6Hsuej6HoYmJ3GTcuy+M5rJ3GmjKYMqv6BWcA/zKsf/9PFd5EbLzXpTi2YPwc7N/4q4JlrTfGQbcZ2JBXwkQt6JFE7EaLZMOejeKx71B8+uR9FjpRgmR22mSW+62CiWOple51nsHWYZESBjMAOUS05VXXqAqKRO6JjQh3D1tmyWSeZI6F6fnxDBxYJnysQrzZlbqLN2J9y67/XPccoLbgp6EicThAu3QCT8cY/u1aRLBSZ98AzBzFVqigJlE46yCbPJur1mQpu2wTIxGtJMktOdv0iASxbd5lGpMrH4tcQvmOoSotPdj2AXHSdKldj9zD04AtNPrItsdmJ0syZgB7BYwGTSCZLq2ULBtCsdi+CImzEBaIchk2RkVaClcawzhue4+D2lWabtU3ttS4izT4nuz5AsUin27c5/UvCERIJLUDejWXnoZM4fnoCi+b4+IObrsQtn7ioRhwdwX998TBOnR7HpYMefudTl2HNlRn83cHj+POdh1EpBvXMqkFU8FufvAQrLxlsIqFeP/o+Xj78DgoTk+ivlfxlUiFWfHQQi2anlOTVmTPjOH1mAk5QRH9YQSYVYlZYbvzcDNYqcEslDKAEBEC/6oOShg5rbU/2DDCk+v1fTP/zr1Sf+yoA1zXKXhL/Hu7rw3UTZRx8t4AzZQd96X4su+IivJI7K5TzyTOywlQKd/7yx/CnPz2GIkdsNXX/E8oK+eOeDx36WoFCUFaWBBYTyDjJ1PQvbLWLZNozPcws2DpMts7nYF8Kg/0p0mGzcSqA6l4qCmyenqiW1vHHMMliEG0IKlIulhbwjgRl94gCu6IN8Ecam05l68iydyY1mXpJR7zF65OVWZxPsHHu2VijsrTikizUHNWR/t3gIFOZgkD860sy60p2LRSxdu/jjWtTEqDe8ZlCYOxjRcnqE4/3wK3X1I9lQqSPjOZIO8Nmb+lEaeZMQI/gsYAuOqMaUDbMJkOn62JZm0IWBS6HIZ7al8OqxfO154/CqEZZcLslOmRjMNlc82c/+xF89rPXNf18064Xkbvs2qaf7/HT2P27zaJ8nwCRBaOBqjyw4R7K04TPH42M4TsvHxGyk6Z1p2Y7FfyLTy/EDYsuqBNEe3/8Dp5+6S0gKNbL+QacCj6/5ELsOfwOJscnm4/FZUDNqpTglkq1DKoy/EqAvkoZlw2mcIEX0hlYpZnX3a6OSgWYmqr+sURT1tQrwJU2B/jr6RLSKChywuJ86R6fNdVMMBE/F7KmqppU0xlUjcduPhZPPtVJKOL7oWNWmjtTkfY9OFx5jQ1mpVyEcM7Lcq5zAeL+TAYiOAPattzzTCHA2OablZlhNjbOtucPSyPXosAmZUvd9/SrmAwqZHmAbK9mpQUyR8LE7oka2afshih2YtIR71ZmK8xEUO/knu1j2Pb8Yamv0KoshCgl2Ul0f0oS3eTAm14L5S+K+pJJIEpAXYRtBhk15x++bRkpDC6C12wTYUtsdosv2E3oETwWMI3OiOBZaJsFKsk02iiIQzB104LcDrQ7RbBdY8N4DHheNWMqncaO4yWcnD1ferxsJo1/snYJbhCNZgBvS+bHJ4ayOBxD5FU3N1GpVEmeYhF/v3MnfvlTnzIuzfuX/22PIJ5e1Y1K1XSj/HIJaZTxmSsz+Pj8WcmWBRaL1s+im9BXE3vvpNZUFJQdV0k2lVwPFb8Pk3AFwijFkVo14ojIbqJ0rIqez2laCeRT7W/q2kyzpgpBOTJBMxFU8Oj6FWTXKQDo8xxpltFgn4ev/cYyPLH3qLTd90xEkq1jW415Az7WXXsJtj1/I1xOgQAAIABJREFUGBu2jzV1McrlCw0iybl8ARu2j+HTV83HqfFiw5hR6ow5VcdA53Tq9jGTrm65fKEuGk0dT9YNh+1vAJ3ZQ9kxukwb6prjBO6i2AJJ22edDkZ2G1TPXqUxAiRvM1O2KSUfobWZOgQbBz6O9o1paZ3ueKo1Lum5Edf/uH/kAPk7imhJYs6r5kkSvlMrNJBmEnoEjwXYJAKmo/467Rwq7dcEnRaOikoiyGriz/WJ1W5Cq11jI8oY0C3aKuNYVYoXpW2tlvBy3Xo3sNKcOcDFFxsf+9XXZkvfgVMrdGZj4OOKMRB5AwrDatZUwnpSB4+8h+/vfxthEMgzsGpZU3O8EL96+Vy8+/6HePvdM6hMFaeF0msZVA0C6TwBFpoL/XYbvLACr1TELADAzNIgKgpkkUz8vEooiZ381FlP9c95HoY/+hMMX+Rj9J1xPHfoPbw7FWLOnAF8YdVirF7yUaCvD3+25xieO/x+Q9aU19+H9DsX4rFbrsCnth3DeMWpk1jtyJpKsvsRoO4U0p9ysWpxpquIrPxE0EDgmGg2hQB2v3EKd69e1JDZs2bpAvzVS0el5XphCNz7xH6svmKekpxR7WM2Xd2YI50Z8K1KDpkTHiUjRbaPmVxz1OBMVFsgSYdZ1QnKBkk5ZJ127Gw6QPFoRRYCZZsCzfIRSQQlO/3s42STxf2urpyTR5IahnH8j5HRHNll1gFNtCQRZKbmSSbtK6/dRHetl1XYI3iswAbFzw//EA5ATqKkBlanhaOiGA6mNfGtQic3l3amCLZrbEQZAyrjJmrUgn3HNpOnlWTomqULmlq368oueVAdaLY8e1DairIBjgOkUtU/CWpN/d7WF5FLqzdovoPfRwB8pPZzSkMgk/Yxtvnm+tw8cXoci+b4KBamMH62IJBHVfFxvzxNLPGi5X45qBFFFPlEfJ+V7im+PzcFBIWp6Z83HLuE/vIMLucDnzXVQuyq/jUEQWuKE5T63dqfJvxx9a+XhR+XHJfIUqIznXgS6mN/5+GjH/g1Mqs566n6b6osMGWUNVWqiai/NxXiovlz8L99dil+/brFWLV4flNG01SpgpffPA3PdVDuEtGiOFex49UTGP3qzfX/37D1RaUWU7kSasmtiWIJ948cwM5DJxu6wWUzaUwUS8Z7gE6zioLnNJcaxom6m+g3Rt2rbGwB3j4S2x5Trb1N7FlVttoNW19s2sdkdhqAROzmbnDsWtkBKgpUtmmS9nLcZ5+E/W6TWSKeT7a2mMx72X0/tS+H21dmG4hzHkmrEEb1P7Y9f5hc/0PQ703nG5i8y41rl0hbvjMtHxlMfcxeVmGP4LHG8FAWu878BG9uvZH8TFIDq9NlTlFIBNOa+FagGzb2dqFdYyPKGNi4dglpVMcxamwzeVpJhjJ9Kv4qHMBYhBygO9CwSHMnxq/u/ahq86mxwjZr0QBh8/UMYQQ7AB5ZvwL3Pf2qtJSCKveJmo2RrTk5lEHmAXAqZSyancLv33gFvlATQhczoYa/8SK8pg550yRUA8lUJ5+ELCdJhz2fJ6844ulcz5pKhRWkSkXMQvSyxKUJXo8RNlf/GvZ93Ox41ewpkSxyvaYMKFH3SUdeNWZaNZNQ9Swpy+/bZE2JmTFJOK6nhYwitt63q3Mftb9EvTfd9+LsVaa2gGgf8aSjrASP7T0m9qxqPxYDF7Lyv/uePoBZvpuI3dwNjh3/TpLuAJUkkg5Kxnn2Sdnv1FzjSzap89kek4G6752HTpLfaSe1ryJbdNqyFFS+gdW7FB+E5sGY+pidljjpBvQInhYg6RaUnSInopAIUUt3kkA3bOztRDvGRpQxMDyUxZZnD0pT4uMaNaaZPFHa7dpANtZCQLmhizCZD+0ev6rsKwdQdoLZuHYJHr5tmfFY0RF2l2bS9TF+/8iBhm5+d16/EA8NLyOvA4B15P54vlA/ZpzMrJNXnyK12jauXVK/1nYaeE5YgV8u1wkjuvxOngFV/Uwj+TTHC1GanCK/P+hU6t0AeRJs7GcnEdZK+ngSqh8VeEFQ//m5kDWFIMAAAgx0+josYZM1FXgp4If/e71L35+9kccHZcjJI3YMhW6UknzSfL/suLE79A34LuYN9idaAq1aV5MQtDWxBUyyiHjosp/4/SurKUniAxey8j+V9pet3dgtjh17J7YdoDpd4hQHcZ69qp27zfNQzTWeaHQtNNJ0875bxpwMMrLlnu1j2PLsQWy+5RryeanKswC1b3DD1heNfDEZWRNU1MkApj5mpyVOugE9gqcFOJcGlm2dtmrRbPX9d/MiK8NM2cijEEmbb7mmZSVk4sYippq34zm2sv44zjHjYuPaJdiwfUxKPvDzN2oHBdmY//ody7Vj5aHhZXXyRQQ1Pr/ynQMYL9qX8z00vEzZKUcHVWSLv9ahB1+wbkUeFaHjophyUYSf2DF1Th0AlNevaHpubyk68zVFvMMQXliBX652xUuVS7jQdxBMTgJBUCeIZjsV/Ot/tBhuUMRf7PoJKsVinaC69dIp/I8jobTML40KPnNVBj/86buYKkzWSCw1+bXqkkEzTavyzO0mZp01dXRapPMzLbomU0ypSuwMsqZWXPURVFIp/ODYh5iEWxc3R8rHTddeBmzbVyezTP/+91dW8J92HseHoVsnsVL9/fjKbyzHLasWVz/bYiS9j/D7gUlJUhLnMQGltzQ3ncwzpuw2ne6myX7SbVnotjZqHN9H1c6dkYKy52GjfcMTjabkjondqrrviWJJOh7nDbR+zgM0sXt6IsB9Tx/A7Suz2P7KsabOmXetXhRJbwxQ28f8+6LegGqtUtnN4poklnL5rtM2iZNuQI/gaQE6rZ3TCbCNiVo0fa/1EyuqZlAnSJZu28iTRpTMH5t30cnMNiAZEtfUKBaJlVaO1+GhLPYeOSXNYOHnb5RsOSqSNG/Ax+0rs1L9h6gYGc2hWGouS/I9B+uvW9hkAKZ9D2uWLsANW1+MfQ2mY3+GNFiSwnMc46iseN+659MwJxwHZcfDBbNnNWTksXlwpPb931u7BL9S+9171zXOkU8vncJ39zVrqrAsv18YyuK10Ry2GMxFqw4zlQoQBPjuK2/hoZFXUZ6c1ndKo1pKh6BUJ45mo4Lf/aXL8OmFFwBBgL0/fgdP7nkTKBbrWVN+pdqlj8rAmuuF+NySC42F1QvjBYyPT8IvTWdetVynqcXoL9cyv6Jyp69X/7pc9ru/i3bIm2p/mvB17t+eZ00c2fz9h2NH8V4xJLOmjMr3OHLq3/7qkmoHSs8zKknSIZP2MVWqxFqXR0ZzODspH7/jxVJDiU4UUHbb3iOnGvYU0Z4ztVdanYVuYz9EsVHj+D6mAS/+eUTRvtEhk/Yx2J+ysgN09y3Tmdl8C60zkyRU+3QhKOO7+080lUX5roNVi+WdcE1Avcu5ad/a5hUhI24AwscUkzmTFj7qcjhhG63MVatWhXv37m3b+VqFXbt24cYbb1R+ZqZkZyQFSmAVaH25DAOVCkuVVth+PklQz6tbW1S2Gp18Fwwm85ohqesVRS95bQLxmO18Rrr164pNO6TRFwfAm1vXSY+pWiOSvg9TwWdV1K/V4496hhSS7vQUB6xzks4gV40HCknvnbt27UJ+7se1Ufe5aR8fTAakQHCc8UCVEZropjCnWff+o16f2JEEYYhUpTyt76TSjRJK96T6UEbf58irBg0pefkfdWxvBmtNzVg4TgOZNOmmcLoY1sXKpwmiRuKoobQulcInP/YRVFI+9ubOIl8C+gdmYeHFF2D/zwsowK1/3+nrw/CnLkc6eB9XL1/eQGL9q8cP4MREuUl3qpqd5eGi+XPwvY2fAfr6MPKjd7HthR9L5x+1BtlmXersOfE8qvJoah01XS9l9oPvOpg9KyXNfo5qo0Zdv22647HnobpGIJpm17wBP1I2uOq+W+EPmh5TZXepEMcXoWzVWb6rnD/3Livhjw/1a/cxky5a57KP5TjOvjAMV2k/1yN47GHjCJ4viOLwtQI2C2knF4BueV7dgm5YjHXzWkYKJJl1IjtHEgZXKxDlWnSERpL3YTu/VISQbTRPBtl7tYl2q7rUtBtp38Xr//5zRgZ5NxhT1LymHB44aEpXtw1StMOgT2r9aSJ4ZjDcShl+rZSvTh7ViCOeMKJEz3/nU1msunS2WQmezd+6zwQz/9nPRASuVyebSp6H9GAaYcrHu1Mhio5X77xX9nzMywzi7bMljjyiySs+62nTrcukGVUvHfsA/+2V4xgPnfr3mTC6mDV10fw5eO4Pbpr+vucBjmMV9DFx9F0AcKDsggdU1/VWBK95Qlt3/t2bblLu83etXhQ5i4eh3UFGU9i8dxvijEdcX0S2B1Ll/+x8m1ZUcPGST8bK9NeNoXPBxzIleHolWj0kAlVKXhJlD6awKd3ppGbPuaTTpIKpo9Pt+klUKnDSm79q/HbTM4qSiq1LwU7yPmzXI9P6f+M29hyoVHfTNHJSn6YGz3FQCcO608/EqFuFyVpHM7EsQ8ww6fayZKqLXVxSr1Xlt/zakBSBJGs5O5NRcT1MuR6mUn2Rvv/HX07G8Ld+P2FYLXdKiFR6ZMePMD5e4LKcqqTWvBSwfsVH65879vM8fvz26Wr5oGHW1FwfKBWm4NU+P5OzpvwaIZguTVV/MPEBAKI8723gyign+Vv5j6+v/THGQ9y/a1lTN8PDr9ayk4quX9OUSgF/5gPZ+Q2k0kNv5jnyqblMr+gJnfdqxxW1q9jvPlb7/l8deAV/6aaQyQzikx9bgH84eha58RLmz5uNf/GZJfjcysWN5JZCBJ2tcbpsX7avqOxom4YXFFTt1XUZJK2ETSkf+7+MxFdl1STREEW8FsqGYYTdrl27cKOG3FHtrSZk1rnmY6nQI3h6SAQyh893HYwXS0qBtE5BJQjdjgWglTpN3VIeaOPodDvh1Q0d2rrtGfWnptvamhg4Os0h8T7ijGPb9ci0/j9KG3tVC9V5hCAoT9qQ+jSQR+1WLZ6vdNqzmTROj09hQtJ63gT8e2oF6dAuUKTemUKAsc03Rz5uK9cKWbZNnH2VajnbQ3REIvhYmVNCYsv/+S06s2F9LXpdv85rzSP7Mp2cQQ94+JaluPXqBXWS6fnRY/jGjh+hNFVEXy2DarZTwaBbweT4JF2+V/t5GhV8fumF2HPoHUxOFKoZWCz7qva5ZXMCvHGqUtejmu1UcGG/gzNnJmrk03THv5SQvcVKAWcswhAoFjEA0B363nmz4b9rWn1NNfwb/j9bJR9IpaQ6UWdDFycnK5iAh/8nlcKkW+uUx5FPTl8frl50IRYezwC+j/9+poj/+eYZFBy3IYMqNau/1smPI6+4rn+BSIopMrDePzlVFcz3PAByUvz0RICNT+4HEM+3iRsQpWwYtk9TpcLt0oxds3SBVt9RBd3equsU2A4t2G5Cj+CZQehmA1omnClTj2+HU2ySwkcJQrcr6hxFhJhBV+sbNXqc9PiycXS6XZi8G7JnOvmMdFpBkwRZII6p21dm8d39J6SRJP4+4mZB2K5HUbvAmKxnqrHzyPoVxqnWpmvG8FAWW549KCWOWKRMZqQyPQZVjbxqvHVa+NwWSRKmNp1BWqFRYbqvmmp+nI9IqqvNTAkG2LZNByDVqBovA/9h1xHcuvqq+s8e/MvXkZtzMTCn8bMOgJTnNJVAyvCdTBobf5del+9dVsLXDzS6MGnfqwv2q8a2AyCsaU2JpXupWmc+nnjyywH6KxV45WBa3Fwgi8QMqM8vvQhL5vdLM6xy757BwSPvV0ko/vsNJJZc08ovl+B2jRpbBJRK1T+Fxvczu/ZHix9N//Oq2p+W4xuokrB9fbg5dKVZU4GXQunPUzi14ALMnzdbL34u/Ozge5P48esn8WvwUPKq5NaeH/jI/tKVuO7jFzd8/nOnf4LjhUpTV8Cym8Jz39+Pz39y0fTnuawp1R7dat9yZDSHp/blGkauA+D2lclVXejs8cG+1IyyUeKiR/DMEMyErkvi4nHFph3Sz7XSKTZ5TpRh4zlOW+ttozhEuvujjMsHnjmI4aEs7h85UC/h8BwHd16/EA8NL2vJ+LIhReIQXu1AN2TPdOoZiWNDptUhc2BUZW26+0jCSbJZj0wJIer7KqjGju07NV0z8sR1s2uVnXfN0gXVjhoCWOlVtsvmpA6MzPjHCz/EV7a+2HTtSRGmphoHl2bSsdZZnUOuG4eyc3dKuJuVwXXyGngk2dVmpgQDolwPlewlHos6dgigbEDusGOwOXHP9jGj77DMyN2bblKW+YQAHMdBqZYZUoBaxJ4RR1T7bRk2KESR73v6AAoro7eUZ1pTjPhpIILKZVzgloFSCU4xqP980K3gVy6fi9ePnsLZD8ZxgQdUilNwg4A+FivT4zOoamSUWP7X+P1yQwbVBV414wilGZ41NTWlzpoCgHeiHf6a2p8mPNP8oz9WHej/lvwslZKSTGcrDt6dCvHx0MWf9PXhoxfNwYXzZgM7Y3buk/zse9v349rAmSbDagTZj//+FPDJuYDvI3XmDPDBB41aUxx0drguaHHmHNCZs0GP4Gkzogol2jg8SdbnxzlOJ5ziLc8e1D4nagEoh2HXOS/iO5golqT3d+/j+5UCZvlCgF/7xi785N3x+s/KYVjXANl56KTyuZmMBfEzGaL8hHr/3ZwB0C0ZRnGeUdT5bBrpFY16Fdmo0zhphZOkW4/EZ2vjuKugGzutGPcma69YXiW713ZrCySFhvtZKCdSkiJMTeYHe99xiEvd2HcdB1ds2kHeh+zcnSBW0r6HB25tbnmvyn4Sv2/qbA/4Lvp9D6cngrpQebZFAvkMMyUYkGQGl3hvqmObFoby67KNID2bJ7qszBBVopEFLFRjjwX+Vi2ej3sf36/VOGNdnGR7rsxGtUVUrakfzU1j92PTovcjozmj+4mDBqH9MJwWFeeymv7RQ89LCSK/UsZf/fYntbpT//HZA1LRdFn5n4yEas7Imia1ZjuV6rm6pMlBJLCsKQFNWVNvt+4S/ovql1+v/vXL4s9dt4Eo+r6bwqliWC/dC7wUyikflyy4APibQXxnKsSh9wqYdFNN2U0lN4X+gVnA61cCn/hEa26yy9AjeFoAypGSRdB4kU1VNM/U4TGJEJo663EzOmycYhvnU8xCWX3lPLz1fsFYwJXqSOMpxN/aAV3rZtX9mWzQPLnDQ6yJ5XE8X5COhQ3bx3DP9rF6VB9A02d814EvpGN3U9mVDbo9w0iHOOuCKakiGvmmwsWydaUVTpItSacSJzT5vnicdo4d23ulSIqBGZrSbEqkJEGuqeaHAzRoHVBruMkc0znkbA+g5pTqHLyjy0g9ALj3if0oKzR6xDbL4p4l+4w49vl3QLWhlmlSqZztTnZvmynBgKhlqSJ818FEsdRALsY9toPqOL6hlnlnczyeGNp75BQpZM/0hHTIcpmWlBYaD/auZXtupwXNxTVgeCiLDYbZUVHQNO5rZU7o6wMGB+s/rlx+BX4mWZ+ymTTwWf08/usS3dVzzdIFkbtpNawj5TKeeflN/IdnDmBivDCt7yTJoOqrBPj2l1bhB6+fwGN//1OEU8XpErtKGamyedbUBV6I/+WqeU2k1mtH3kNYDJrIq/6wjHkpTH92JmdNVSrA1FT1D4BZAC6Vfa6WePyR2h8ljv7zHsHTQzSoHCmTSB+fjcEbM6quMDx0hq0pcZNUiQTQ6CDN8t2mz9mQSfePHGhYrMthiN1vnNJeC+8YUmRIOQzb2vGLh+wZqIiXJKE8hyPPimLfYe9qlu82fSaJjjQUktYLGhnN4efvfIgvKSLgOoPZtH2jjPhtdfv1OOuCSaRX5sCYRohl60pcMT4ZohItohMQpWRJlh3UyrXG9l67oawkSbTzfqhxzjsHbH6pjiFCti5sf/mYkYMom1Mm1ykDy55ggRE+E0Y2plYtnh9ZY+jsZLMz4nsOtn1xuXQ9ppzTVo9b1VrfbcEA6lrF67SxNRjhxvTYROH5h29bhodvWxY5O0S0L9jxdJk8oogq1UnJQZVrMM284yE+t7lpH46DJgJz6MEXpDZRJyFbZ1TrAqAOLIq4e/UiY9tF1PWLEwxUkars/KI0gU6nqUkX8NV3cN9zP0Uh7AMG1JlTA76LG/Z5yOUvBK680OgeKFBZtD82bZVey5p69pW38H+98DreO/Uh/HK5gViaLrmr/uxf//JifHrRBdrMqdePvo+//VEOCIJ6yV46LOP6hXOwaHaq/rmdP8qRWVOXDHgYrGVJBYUC/Er132EQwGlF1lRftA6LMxFO2Ma0s1WrVoV79+5t2/lahV27duHGG28k0y8pcUvbTRSYnrAApOy/6wDfuGNFfUJfsYnunvDm1nVkXTIvvqmKWLPjmEKW+i8uQtQ1yaJ2V933XCSDwXWq9eOe42CW72K8qI8EpX0Pn1w0F//wxqn6M+3zHAz2p5pSvuMacKp68ZmOtyzGiwmochKWjs9Hk02Mjbv+9AfY/capBtFGB8BdqxfhoeFlka9JJ/jouw7Wf2qhttSAEt01uSad8W6yLlAdqaioPDuvjb4Gv67InqXN+0iS/NOtl6pzAnInz/b+dKLqSdyr6X3OFPD3w8/rVtyPbo/TlUHI5jd1TNeB0d4FNO/V1Lhrt74SNWapMZhJ+2RXs06MWxObpl2g1lo+C8v0WqlnKa7hvE2qy6CSPSvfdQAHRkLL0+d0MX+wH8fzhXr3U5nIsjhWKHvYBLxGoS1GRnPGukEMzEZtJR5dv6Lpvd8/ckAaTBzs8zBeLBvv4bo5p2vUoMv008FmL6T8HNV62EkbnZ9zqmAg+z9PyLMsJhv9KNP1TPVMshHWdt63vu+pV1EsBlXyqZ4d1azvdMmAh//6W8u1ZFT97zvuAC67zOg5dCscx9kXhuEq3ed6GTwRkC8EWLHlhaZWpar0y6hdK1gkbvemm/Dlp19tOn4lRF1AF9CXNqgim7LOKtRxTGGSCaTSxGG/Z9HPqLXC7JbKYYjxYhme6yhTz9l1itlBxXKIYo3A06XEU5BtRDYRRwdAZsBHfiIgW713CxxU71eWySJuQnE1YSaCSr31s2n54/0jB6QZYCGqpWurFs+PfE2FoKzMwgoqoVGWlipzzrQclILJumATkRbPG6LRaKKEi3XdXULQ0VjV+eOKhZu0I6VS8XknRpfJSY031f0AzWWRunulxkury0ra3QGynWUyqvmh6tjIIDOkqfXEBmxOiY7VLN/F6YmgwXFrV9MG1Xim5ppKGLMT5VBRs5ttSGATyNZahtMTAe7ZPobBPs/4Wiki3/ec+r4qEkfUuGb2JHtW4j6/98ipekaFCQpBpb7mqr6TLwT1si4ASvtIR1yUwxDbXz6GHa+esCYdtj1/WPsZHszR1RFSqj3U5BwyKQaxsxEDI5JNdbFU0gsiASkLIAeVEAN9KYx+VU7myo5LZaXpvhtFb66T2axMu3CqVJE2rZDZfLx/YlsNYKq/qXomzA5iSQ8yoviBW+XC9tueP4xCqQK4Hsquhyn0k+d5HQBuuMHi7s4f9AgeS4yM5pA7XUC+4DX9TkeMRK1LZpNogmhFzC+WOoNHRQBte/6w8h6iGE66VPmR0ZxRhIAtOJR+ji0qlaqxkRQjT3UREtN4KcOaEiSWPZsQwNnJEh5ZvwKAuh680wiBhuei2oRMHYyoGy1f/si/D9Nrj3JNupFqOpJz+UIDqTxvwMe6ay9p0mi6Z/sYtjx7EIDeIeTT2W0FiClQ5XyqiC4ATBRLdSJQRaroypoo5+vex/fX78MGqnnJrld2Ttk6ytYI1Vh54JmDRqLqzIGwcTRNOwxGSa+XlSjYnDdp8PcDfCglkJMknaj5oSvLplTfbNc42T4xUSzh/pEDDWtEvhAg7XuYJxnXtiXYUaAiR6LobnWiHMqm/I9ycCkSeMP2Mew9csqozM2k5J/K9pJdq6z0aLxYarA7J4OKETkzN+037fO8/fjUvlzLAlNsH/Rcta3IBx8oBJWwqfwMiKdbJytFYo6uKgjsOU6kKgDxHDySEHymWl2rCEgKJuueiSakav5H1ZtLUpQ8CnTdS1XrQZQxw2zODyaDeoC8vm4BSukQBn7+8PMtU7MZNmwfw7bnDze9M5v9j9of2h1U6kb0CB5LbHv+MP7xQvvpwg8u29RNm6wZncGjIoB0Yms8U2w6cXRG27bnDxsvPsfzBdy1epGxYJqKDAoB7N50Ey4nWidHAb8oqVpLi1dUCMroT7lI+17Te7l9ZVbKvgeVEBseH8Mjd6wwqk3vJPjnotqETB2MOBstGw9UCaIIldHOj/92bP78NZ+eCMh5YBrdK1XC+gZLpfDyxAsPKhpNnZs9R3YcMT369ERQj/aoysnYM+adIT6FnjIMymFoTSpQmiBAI/lnY4zwWWsyiALUFFTnpH6nyzyIGgEVM1n5DCNqXeJJqiSzGtj18d9fOH8Au++6qekzcZwE0z1QNzbYOBLvWUUspiQO4u0rs/ju/hNNc0q2dxSCMrkGtzpKrSJHHlm/IlI2jum4TQqmRJTOwZWRwCGAb+45iu2vHJNm/0V1gnTXKsOHk6WmdUqXlcrAO4X8dyliuhXQZWgD1edtEzSMq1uXSft44NZrlPY55R9EIcR4kXfZHh4lE0hEiKq+jZh9akJAiuDHJbXGUhmwgFnwIKo+m0wXUFZuaBKw9l2AiNfXS+NMwcZZK9ZuKtOKVY3YJi0wckfMRGLvLFP7HDV/ZFlAsv1BLDtsV4Zqt6FH8FjieL4ALLT7Dp8ayRYoU2fQQXVhASCNurGfm0JFAKmui3USsDWMN65d0lT25bvTmQO2TC1z5njBtCsXDOCn745L68RV2gdXJEjusOtjsN3c8oUAmbRf/w6fLko58mGIugDhxrVLWt7ukoEahxT456J73ybjIanuHyYIgXrKNzX+Nz6xH77X2Q5sUcCGCkuLsNGTAAAgAElEQVT1pZxEWdRSZtjKBNQZ+DHA1hrReOCjPSKoTLZv7jmKHa+eqM8VFdFmm6Gw5dmDyoxGNlZtyD0H0ctMebDnaZPxECcziodubSsEZaMgBhs3pqVtUcinXL6AY6dKuPrf/U2DPpcsM0rMrvjy06+SWbOy+5Bdo8nYEMu72edlZcQhGp0Jfp/Yeehk05yyHWlxutSZHp8as53IxokC07KwKA4ug6hPYyOarQNvU6p0UVTBMR2oZbMbRdtt12P2zFWEOTVGvrD8Eq2eWlIQRd7FNT7Jc/EBFIAm9lUQx6VtKSeDbp+PkilIlbI5DpBypwn3eQM+rr5kjrbxS6lC29G+5yLto2nssNJaESybWLcemGopmYDtM/yabfq+VZlIX1tdtSGp+cM0LVX7w8hojgxstDpDtdvQI3gsUV0EPpT+TsbmiqmRI6M5nBqfMj5fiGo666rF87H5lmuw8cn9UnE6FmU3SYenIl4yMgaoppSuWbqAFMrSsqSC7xtUQuw9csooxY+BN6AeGl7WJHxHsf2qNpm6xe7iOX34+YdF7bWJ1wdES7HnF75JA8cCaKzNNTFUZGOUF7ebm/ZRLJVJxyaTrjoUplloDtDwXHTvWyRUZKCyQFoFnX5KUAkT746R5GZsgkJQxs5DJzHYn2p6puLGSBm2KmeGjQG+ZMEUulJKpjex5dmDWHftJcpOQ9S8lHUs0pGYzCCktCuiRPZMwK81NhkPqqgYnxkVNQJqC1kXG1VpG6AWmGROi4k+lw62c5qtw7KSXB0cyO+7XAm1wqv8PmHzXsQoKtCeVt46cqTd2ThRYEpEJU1m5PKFhmxKVbYHD9+tOpRsGDGbErW/ZZl4rYKKmJ5JuH/kgLVunZglq9JTSwL5iSKu2LSjibgTifWkINOJsQHv60Qp5eTBghayeWmj26WzV4rlEEVujz87WcLLb53W3SrmpqsamjLkC4G0GxlQLWmSBbooUpG/v9tX0sFiwC6TDUATYQjEG8O5fAEHciV8pfbeWGWCbcm46zikndWNBHMr0euiZYmR0Rxyr+/DtlcbNXh48TkVQ68TMaag63LFMlaoxci0q4R4fJnWh+m1AurODKYaMuwaoraOvn/kgJWgny1k4mw2ivuU48ee49CDL0RKpeXbQVIlEJR+hmys+q6Dbb9ZbVdrek2DfR4mimXrTcBUxd9E58gUsq4cPKJ2wrNFUjpTLD3btJsV42Fln+M78th2JmECkqbCz7Lzms4nXach2Tqo6i6kOo+Y8cSc8axknumMUpV4ZibtY7A/FbuLls19qvaLTnUTMXknsrGlm9edBHXNNmDvymaOyDqydLqLVtLf6TR078N3HWtbUNwXo9oGQHL7jCl0HWFtYTuvWSAribIkB8AAUUojZs7wjifVcQygSa92v6d2QLWWq+6XdZs0FQ2m7EiT9SSKvWIK33Mwu58ei9R1U5ISzE5iHWFF3HDVfDz2z39J2XUwjm3Lz+04gVc2p9l7NtEis3lPM7UrqAjTLlo9gicCRv7mf2Dbfs/a2IhjGPMOVpRJatvenIftdZs6gzxppWLJZdFGk7bJskVcxoDbQOVsiec2MWJ02QlxhKB171zX7pUnxsSWobpFdcB3q1FwIduMJ+t0eiRxFmOKCKWQ9j08/GkPw5/7NXLM8oRJq5CEw8fjLa71uK6ET2VompC2KrAyUlvjml8jbLXLVMfk563t/bAxLMsU8j0H2764XLomXHXfc9Ln7zkO3nj4821pvyyuidR9q9YOqq2uDRxnukQwScjWk24meB5dvyKRcW3TClfWKrmb0S1tyW1JJpO29HuPnLKeSyKB0OkmCy4AXb6x6wC/df20vWZCTOkIMN28ptpux2mdboK7a3apzbuhCA8WCO3EO25VFrGtxgwPmS+gg1O7EVtiuNWBDN29iP6RiiT0HAeVMFSSZjobI66Op22gQQZxTouC5LI5bXrdbC7NpL2PQq9NeguRSfvYvenG+v9l9a1RBBdV4OtDqcGcyxdIQmBuWq3TE7UVnu5aVU5ELl/A5Zt2aCMUMic9hLqNNVWqRolXmuJMIcDYZn0bx+GhbL09IIW3NIQdXzoRBTp1eUr89N7H92PvkVMNnS7KYVhPn+XT6NlxxDao1PFPTwRNrR0pByfOfKF0XhgyksylzJmfAFDXaJvq/+g2XBl0z87W4MpmGnVvVCLqqrIfNg5ZyrPuGciuM8qcE9OmTRwJE4hlSLbjjBGUMucjKIdknTe1xrGft0ODRCyBodYe1dpBtdU1RdIkJg/Wrcfk+Jm0LxWSbReYrp1unzABr6PFyHMZPMeZcQauThy8HYjSCc5kPg8PZetRatO9nl+vxHO0YyTzQa65ad8oiFIJ0WA/UOUpQKMwsKrEXgVVy2uTIE2crJmdh04CsNNgos7EtKmiEIFx0apzRSV3ALl4tw681qCNnls7mmbwupsijtdKMmVdZ0Xoxmo5DHHFph24NJNW6tjobFtVYIatS0mWQYkBYllXO1MC9a7Vi2bc3hcXPYInJkw2fuZQx1kwJ4ql+gSl6vI9xyF1dMa5bjgyvQmqNthGJwdo1lwxqROPupGy2lPZpKWMQlm3KplehgosTVJlRABQGjG88y1zmClnnhlXuvehqinWLYrlMJQaVWIHCTaGZOLaKjKB19Tga9BFzE37VuKvPEZGc8rsBBlJt2tXleBZs3SB9P7XLF3QZFCL9e1AY3TZNJohZivpIta648rePzWPPcdpiobzDocoPrvtN5cr67ljZXagMcLNP+8kyB0GRmRu2D5mzZzpDG2q8xrlNIhEXDuNEFs9gqhC7mL5Wiu7/vWnXDgItQLJTBuvU9FxJii6+ZZr8PuPj1k7LiIKQRlP7Xsb8wf7yc/MxFKPqF1vkgRlT/C6SxSBI9qBG7aPNXyW/THN+BDJV/4cttFzmS3E6/GJe5vvOnAc1O93oijvMigDE1/f9vxhMtAm7oOqJhMUWOCG2RgmGiwi7rx+YWRCJSlHl1+Hdx46qcyEPz0+ZSQI32nEzQpKYo00JYbbURqnIkdD2HdcViHEdCBAlv1oIpgchoomK061YoPKMmoFCkFZmw1s0hXzXAXd9qQHI6iiS8C0Qx3XmD09EdQnKLXIlcMQw0NZzJ7VzNuxyDJ/Pex439xzVHkPG9cuQdr3mo4pQwg0GThxkPY9ZZcwW+PvTCHAw7ctQzaThoPq5N/2m8ux7YvLGxwtCvyjPz0RYOOT+zEympN+loqCiyTY8FC26Zqo9epMIcDuTTcprzWbSZPp63E6ewCNUQV+DN339AGMjObq2Wy65f14vqC8Ft91MF4sSc8hgp3zik07cMPWF3H/yIFqNx4CTMiZem8sAkf9fHgoi92bbsKbW9dhbPPN9bHD3h3/7E3nDhuvzAkoBGV4TlUVR/Y+ZcdlGjrU+9+4dklTty/fc/D1O5Y3zdndm25CRpL1F1RCbHh8LFJU1QQhUD/vhu1j9fdkYyy7hg3NyrUMK1tbJATq70YGMVuSzReZ0WMrbCuOdWoMm0K29lCaBdQ9mKA/5eHR9Suwe9NNGB7KYs3SBaL2fmLIFwKEcHD36kXke2I/Fu8/k/bb0hEvBLD95WMYevAFbNg+hgtm+VA0oTNGIagobY1MjTRPavy0A9Q+2uqOXzyo9SdfCJr2qPtHDjQ9Y9WeCVTLHu99fH/Dfigbi7r1wsZW8xynYZ/JpP0GcsepBb3438NptEWjZJ7l8gWcnSwZ35tNl1igup7zz/iuP/0BrrrvOVy+aQeuuu857D1yCg/ftoxcfwZ8Fw8NL8NdqxdFWqPYuIwzPsWgCzX+HAC7N92EfsN3niRMxxlQvZ+7Vy9qawYSBVY5oFv/ZiIZbgLetxPBbD+VfzFJ2Oxs3rX7ualOx9aU85HcAXoZPLGhaj0LxHeobRhvNimpzBGdUy37PDBN0piwybKFIYqODJ+mqzq3yvhTtWOVTXhVFI3KmlKVZFCZObJUQdvSCSryrtMliBtVujSTVkYzTeujL63pRVGQiSHKoi8jo7mGznKMsNRBla6rmtN8FxMGVdaFSVQEqD4PWToutUFFLucRxnBQnu5oJ4KKLun2b9Wa5QDIDFQ7SFCfyReC+rmjlFYm3NBMCpURw2dLAuo9QNVaXkSUMhETmGQN6fYN3T7FMqYY4pZ56aKrrCvc1+9Yjtzr+5p+H4ZoeHbimtKOkhc+3TxfCFpGeDEw0pyfWxuf2I8tzx5s0inpBKgycZsss1bBNIu5EJQb9h82R2f5LhlEo8qQvrD8EiORUaC52QDVUpkHX37tonG95/9dDsNqp7dyxTjLWYegEhrrGcbxFwtBuUF0lmUnP/7KMWnk33Md/NFt1wKodmtdtXi+Vdai7zn1cWlazi1DpRasZaD2v0s1Nr8pMoaldgyuA9y+MktmOVH6ia1sdmILsYuZOM/ITJVzAGJAUbbmUj5XYQZkijGcj63RefQyeGJClaVhG3kWocrkEMEbPNQ1uY5jRbTM5aJ9254/rI2kUEaXTVQJqN73m1vX1aO9gHyg8pupyTlNjEJZRPvR9SuURgb1jmXHemT9CqUwtOn1m0beRcSJKrHzq6KZJsYMOw51LdlMmjRYmBYMi7xsefZgZKOTimSonhGVRaQCi4q8tXUd7pZEBdnz0GUDUscV5wqFbc8flurGPLbnaKKRfNXbCFE1Ru9avcgoYw6oPoMwtIsYdhKM9GVQ7QGnJwLjMWU7PpKErhzwrtWLpBlfPMphiPuePoAtzx6MFfTIZtL4+h3LteOBtSvOzktLM3lYyYgYzeXnlW32QByo5o1nmpZGIJtJY/asFKlpoMuSbDVUGS5R97okYWvD8CgEZdJRPJ4v4FsvHZP+7lsvHTNa48Vnly8EmAwquHv1IuNr1rlsIeJpp8jAspH5e5NlKJ5pQfv2YjmUBgLm9KeaslkrCuOPn5XzBvwGgX3ZuFVlFfLgbZCR0RzOTjaXwrnOtHSDa3BMFcY234xH168wujagWgZLlY2JGeo87rx+YfSLbAFYYFJce35/+1hi5I6pnZM0VNUPfECRWnPbufe1Ep3o+Nkt6GXwxATVmYnpw0TtuqNTJFdFP6jIgS1zLkb7fNdpUjWnNDN4mOiWMMhIGEp/Y7AvRRp5cQRLZRFtVQaGihCIqqlhKtBoe2ybqNKA72LeYH/T+aPoZ/ARIpa1oIrMqs7BR17ibsIy51v1jOJGBFhUUPZeKd0iKnPIFhTRwNYqoHG8xel2oQITSP/0VfONx9GZQoBH1q+IrAHTbvDPWrcHmI6pVmqR6DoEqTJmWLaMiW9QCMqxyB0xo81kXc6kfVTCovK4uXwB92wfw5ZnD9Z11SjHqhMox0hLY7bEFUSLXR6dinjqhJTbrU0lQhxvSelzqNYG/viq+Uk9u52HTibSHadVoEpZk26MYQMZmaRbv99SdCqlxq0uy3iCywKlAjOVcNr+iTsWr/53f4N+3zM+jqoUlB1Bpp/40PCylpV3R4UscympHBW2X3XCbqnOo7Apuzbte1izdIH0mvg1d/Mt10jtc5PsQBPwHXVbnS17+aYd56UWT4/giYnhoayyC5CsxaGJkN1EsYTLN+2Qpm2nfQ8P3EqL+4rkQFTRK1m0D0BTx6QopAnfyUl3PJWejs0544ASr1ZlEcVFK4xacWyoRsUf3XatcemZCqwdJAPLWnj4tmV1A9RW0T+pzAUZOacrSYzrUFPvVWVIqkpxZKLpYhv6bCatNJRz+UJTqZvvOvBcJ5ZzSSEEsOdnp40/z0orgc6I4tqCH1cm88VkTKnKTuPApPRLt3+0w4HkdSlGRnN44JmDZFmBGCgwDbSwtWnvkVOJlxO0ai6pwD8H045H7RQv1p2zE9dCIc76k/ZdAI40mKFy/q7YtKPJRjTtAsgy2IaHWt8aPAryhQD3jxyoZzTbNMYAqhnpYsAxLmRrKRXEpT4vQtyf8xNqshmYXoeA9syBiaBiLdJMkZyZtK/cT6JINgDVOTQZVLpuHKvA7NQ7r18oJbZsg2g3XDUfPzx6xnj9EcupHACfXDS3oUOuCFGaQ7TPAUh9IVNQft4NW18E8GGkY5ogqZL2mYQewZMAqAWLd0pU0VGxfnq8WKo7YuIU0nVuYuCdSJPInQ1U2iCmsCEvWuXY2IBdK+9UmL6LbgP/7FUZYqYEomqZT/seHAdkdJZKOzeJ0B/PF8ja8bTvoj/lKR0aFTmnylRq1biLkjkkc855Q4Jt4oywUUFG6LKyG5v6fFMY6xrUCG+xzaepkdiObhg8+BR1UTSbug6TMdUqLRKTNtRRjfIkwXQpRkZzSgNTZkDakNKFoNySlsQuqpHhpI/Lk7iM3JXZGqZVHO3cV/lzysaX6ziJZC8mhaiaiqVKiPXXXSZ9N6pW4KzkSgQ/P03so6iZ5LYY8F0ElbCpq6TryEu8HttztN46XVX6DTQHFjNnfoJtn/h4YhlKsrVU1QHXZO2V7c+mYO+4Xe/OFswPEPcjlb1HaWrp4ACY5XtS/RfPqTaK6NZMteP5Qp3EZEEDz3Fw5/UL8dDwMivydfcbp5Ax1NiSgQXWVPYQv26o/LQNj49Z62MxUXAZNq5dItXLc53quEoim5yV5HXLftJq9AieiLCJIOrIDNHhVjlTA4qyJAqt2CDamcpNbQgTgphpq5F0Ro2uLKIdoJxG1kKYgglJxCLuVOkRZdCJz4USu2PPTHT2fNfBw1z2EXV9qhI/oHUONYUomUM2DkeUiMuZQlV8tRUEj4rw8BwHlTBsIrz5Np+APprOnAGZ2HmrKB/WSVAmmu27DuCgyQEyGVNxyk5VMMmeiCMYmhSY4UmVLAC0uCd7RlQkXkQrxkbUiKcK1P2KGBnNGTkE7RYvZlCVlZtEXdu1l0bNpgjKIXYeOil9V6LzZwq2p5nsU6oslCQxb7C/XmLNZ5SqCCzmcOnsVPZs+NbsJllVad/VCsOychG+jf2apQvw1L6cdN/I1LqMbai1fafGWxJdS+9avajrypqA6b3V9F2LpeY2hAzT7pOBF6Ru5z4PNJKOE5ydwoPtWw8NL8NDw8vqa9Vje45i56GT1iWI+UJQ19eJQvKo1hgbW4Sy61XQyVmMvPMashmvaR2nmt/wGOzz0JfSE1/5QtBVQYNWoieyHAH5QoCNT+wnnZ44IoA6A0L1e6qFLiXYG1O3sUnwtlVgYnWiiKeNQGm3Qdc2tV2QCQHajl1qfLH22zZtbmXPRdVSdXgoi22/2dimfNtvNrb9jlPi125xT5bCLIPsebU6fVvX7cwEsk0m7Xu48/qFZFZROQxxaSZdb9XLgyeX2fsBQIpXyz7XSqMvyxERokESVEIM9qUij6nhITthbROYzE9xLpiKcZogm0njra3rlGKUvOGpGo+q3w0PZZE5R4QjAbWYKQ+2plLwHKdj4sUMbHxRYthUOe7IaA4rtryAe7aPGe2llI1kCmqu8M+QgsqZfWh4Gd54+PN4a+s6425qrJGHyT41PJTFXasXGR+XCazyLdLFPVgGVhbGmijk8gU8piEn8oUAl2/agfGp5n1ehtMTVfv79RMf4IpNO5ray/Oodha9Vit0e3ayhO2vHGsYQ9/cc7TpuIzcmSpVjMTJk+hauvPQyVjHaBXY3sr2o41rl+Cpfer5dM/2MQw9+AIAaNtx88hm0tp9SjYPou7zOlF7B1XtJTZnd2+6CeuuvUT62TVLF9T/Tdm3tqAaT7CrztYCo7a4faVdZYUtdPtVJu1L7RvRhpNhvFjGGUPCqx2NKboBvQyeCDiRLyCoyLsTmEbUKOiiGNSkMtFRECNcJm3PdWhVXaMsIjfYn2oi1WZSGzz+nmS6SJ26l7iZSbrMAiqDgt/4GCinWCUqrrv+OCV+rdBB0kEXkdWNo6RgIngtA68xxtdty8bHqsXzyUxI1Tn5OnH2flRRfPY5KptLhbTv4ZOL5ja02yXvnSv7UxGLY5tvtrqGVsI0U0181klk9PDnobI4xFJY1R6pm9Nx2wl3E1immAhxHkwUSxoHuDOkjojhIbWeoQjVGJTtpSY2kg7UXOG1oShNHZ6QUcE045qJ47N5qTvuQ8PLsOPVE0ZR/9Gv3tygk/jhZKleWsL/Lbt28Tmb7k75QgAX1fmer5EnFIJKiFIlRAh1RgJ7L7psA5vsOl3JHD//4oCtjVHt9FYGMmT8vmm2Eq8vZJIZyu8Run1K3KNUWWu+65DvfU5/CoP9Kat9hiLi+J9T9q3jwLrcKV8I8Oj6FaTNE2WPtiETbbMCVbIPKoj7mQqmKlLdpO3WSvQIHkuMjOZQUmwGcQeOasGjnDzKiFN1oTCNXKV9D7evzDalqlLnSQKUIUadv1snq0xbiWUjUEZJLl+oa43MJMV3vYEZNv2PRfb4tvGtcIrbXWoVFyrCTFb20wqIOiYqzRMZocMbunzKO9OgYBEUk1I/GWSZGCZOjslaQRFUe9483SCS66Ca/s/EKU2JiE5onKhgU/rFr2msG15UiM/L9DriCN7rnGcHwKclQpaUs0Q5ujJRXeoYss/yY5AicWXRTFvNj24hd4DqtVPPSDZndA6lONdNtKZ0YJ/jSelZvou9R04pS/aB6n3d+/j+huPIYFMOaVrmzOaRrDOOCBlJw8Yf012R2YR8QCAq8VtB1dF9c+s6XHXfc7H3N7bPtEPH5nitBCkJ4puVtwPRiZq5tUwj22th5Wf5iQCziPK2MGxu/BBFX4gFw2VNIqg9wLQUk9JOAqb3Hoo8yxcCnCkEyEia4FC2o0mpM9nJtJaN0ywkXu2WJgPj2KiEAl3Jv+5adVAR8iJMZB9kuH/kQIMeXi5fSIS47DYbrFXoETyWeOCZg/hnH6N/H3fgiPWpsg5TNkYcNWFVKWqDfR4miuWmSLtO8DYpbHn2oNQQo9Btk1Wmz2SjYcKn/QKdVXyPq20wPVYlRgIaRRYBkPXIcd5xq7RLkoTsOe/edFMDSfLAMwfxwWQg3fCZZs2lmTQuvzCNf3jjVORNUMxCHB7KYsuzB6XvxXOcppI4dj8q8Wd+fAN29fhAY7TLZoxqHXwH0vu5YeuLTR2QQlQ1J15TiAbOFGLRhBwT36lO14ICE8UE0EAAsvemuw6Zk20qeK+KOrLr4slJfg+WtZulHF3mnPHXmCYEaNlnbSKxbBzZZOuIyGbSRmtgu/RtKIeMKkXT2RzinpFkpy6xK6SpRko5DLFh+xj2HjnVENjgIRvfFFRlzrpsbpmzxATtVY6b2IJdHBdRtDl4sHtOInjB7l0XpDSFqk303LQfW3MHqBLV2764vJ5xGvUpnCkEeGT9CqsW3byuzumJAJOKNV7MWrJ1vGVZuEB1/FKZJLL9gVqfVPN69KvVYKHK7uAFzhnRouocTNmufDCKsj/YccU5XwnpTCM+g4/C8BDdLEQGfj2hniv/c1UnNVnGvc1eMjKakzY7iLsqdKsN1gr0CB5LRO3KYwOdkWuziVCOsWrx+9pvTG/cYqSdirKbLAwmMBWDZPDd1rUpj4KkIjhA58vPkkhp141VPqoJQFqPnMS86kSplSmo57z3yKkGo1S19jASmM3ru1YvaoiCyQQjZXAwra3Fz1sTgUMeJmsU62gQJcrI9JNkz27D9jHcs30sUjelFFF7H8U5nAnEog1kxLsI1h2EdTmTkSIygexcvoB7au+N7zBCIep8VkUd+bHM/hZLTdj98GOLBT9kxixPBEwEFfiuUy9BkZURUtcMyNvVRu3QY7pvJrEHmIKMbhPnUomTyoz4KBl1MlsmrhMvC2zIwI8dCrl8AUMPvtBAbuoylaiyVlHQXgW+BTsD0zdKIqd0ZDRn3f2Q+nwhKOObe44i7btkRoRM/F52fLZ2yTIIP5gMrJsRiF0qRaI6TuDUrdVR3Xn9QuOugGwdZtB9J5cv4PKIXXplWbj3jxxoCgRtfJLOelOtT9T6wGc+mmbLVcJGTT8ZJolj8D9XBX0YGSOOIVX5oMn4kJ1T1+zB1CaVzTffdfDArc3BFtu9RJWBFRUqgu5cRI/gSRCMdW81TBd9FVNJGTuZtE9ObJXRrlsYADOD0Fr8Kjmtz0SQRASHR6fKzygtAVvSyeT6WaeUWbUIt4iU60gj/ecKKIP8sZeOGtdlM2IGaOw0xT8nld4NA58Ky89bk+gUD9NxG7U7F99RSSaECcizhJgjQ0Vhg3JYX4P4z1M18rrMsm4mFm1gSryXw7CBmKHI/hu2vkiuk+UwrBv5KpInKqiW7+K7pMaWLMPNlOQMKiEG+lLYfMs19TVN1YVHdQ7VM9TCcN9MoqzJFKrotoiR0RwpTkplc9lm1FHkcRJOhy76bmNHnJ4IGpxgGzJaLJE1XY/D2udtutyYYsB3cd/TB6zIHZZNp8qkEjMORbIWoDObxEw7mZ0SpUnemUKAN7euI38fp7SsHIbY+ETVhmt197QoyBcC3D9yoB6Impv2peMvKIfY8qy8tTW1Pm3YPibVCRKDhcNDWew9csqIACsEZdz7+H6pHToymiMzWtnP2V5YCMrSygzA3t431ZEEGgMELMubYbDPw9d+Y1nDZ2XP1aTTH/V7m71kZDRnNe5V2WMOgEfWrzgn7DBb9AgeS1SVyZsNi3kD0QSkokBFzlBCtCIoY8dxmsuhCkG5YQGkIplAfIPQdoFjDlm3TN4ohAwzYGXv1HWctrf0Y8YatVDb3KOpgVIIygqNp0oDedENpWtJQlWXbQrxo3znGX5jt2l+VAjK2PD4mDLlnrrGJDUPxNp0045KgDxLiLUZpSBqflFOT5xUX9Msx3aVx+jOZ0q8i12QqJR6k7HxrZeOtYTgMXX0TRxl1fuhvi+OLz57ybTUTHV8ETLj13TfTLKsSQcbAoZysjNpv15+IcI2o05FHieBqN3gZOCJaUqzSdWgw7ZEFmjci5MMbDmOg4mi+bE8x6mXYNkgrH33eL6A+55+FVOlCiph9Werr5yHgylgM9kAACAASURBVMc/bNJZSqLMi4fOvrPRY5LBRjy63QhDNBByKnKRCi6osv5ktslgX6rpWe88dNJ4XrN5JQaPVF0KgWaymJX8rlm6oOF6VL6dmOksro0mTSaA5iwpoNqBau+RU9q9y4R0rYTV8lLxOZvKezDdHRuEAG64an5TIwzflUsInC/oETyW2HzLNXj79X0NP/M9B5tvaRaQapVxThlCsrQ4CpSxQzlzsjpIWcewuAZhFMewm0SWba9f1SEAmM5uAdpHaOiMNRs9nLgGigydLl1LGq0SgBTTraOcQ7efnykE0nUuqffOawLI1lGTZ0d1PaFS+j3H0V43S9ePMgZNsxzbWR6jO5/p2NEZgLqW3TbHsoFYiuJwOxpFqlBja27ar5cq8+SJ+H6o76vGl5iNoYJpoCeObl47hcJtCBiVGL/uHElmn8aB6hlG2RPY+JOLfssbdIjNHyioyp/idowSCchxC3KHZe6YZBbIwL7DZ1+UwxC73zjV0Cr79ERgXOZke37Vmm6jx3Su4/6RA02Ev+08yReCpvLzqGOXD6Kp7IV5A3JtJlaq+ebJs9jzs9N10sdznQa9P16g2FSnTWUrfOulY9Lr5AMqqr3LZJ6JY1Wl0cT20+P5AjYuL+Ob+8e1x5dBJHf4zDx2/HOxAkCFeG0wzkMMD2Vx2bw0spk0HFQHkaw0i024XL7QIJpr2r1Kdw0P37asnvnBDMZ7H9+PyzftwA1bXzQ6z/BQFrs33YQ3t67D7k031Y1SU8gWRur7psfduHaJMrouw9y0vEykE7C5ftcBbl85XRP/8G3LmiLgQONG0g6oNjzbrAV+rDqQt9dksMku6SZSLy66SUPKFnNrJZ3iOgeg4b3LxjWD78l/x9emb1y7BJfWNIa2PX+4vr6tWbog8rWzjjDiOc2iVHLtIRNQWY73Pr4fV2zagRVbXsDV/+5vcM/2MTIbshVQZV+q3h8P3edsIv38sZi+xxUW+xtDvhA0jNF8Iah3PgNAConK1nLfdTBeLNWNX1nm3L2P78fIaE76fZPxxWdjqEAd/4Fbr2nY12UlToDZnkydo1Vrlswm4aHTeUmSeNIdSxzp7P/ZTBqPrl9BPndA/ww3rl1iXX1OEYc8GS3apflCoCR3mGZURTFmTdoXqxCVNOnz3HrmTiu6ScpE9VsB3Zo+PJTFF5Zf0qKz2yGT9pXjupX45p6juH+kMTgQxV8QfbE4Y/d4vqC1Rddde4lSyHn3G6fq4zdEddwN9nl1/5LNXbY2PrJ+BQBgw/YxrNjyAoYefIG0Fe7ZPta0X1Jzhf85ZVetvnJeJFUMlZ4O20/Zvatw9+pFVf0gA7B7aJUfPhPQI3giIJP2lUYIoDaWkwBzeniDUUwfjDKIZQsmNZ1kC2Ncg1AkBDJpHwOadrw2xECrIV4/M/YeXb+iLqjHUAmBp/bl6u9peChLGlLtJDSoDS9q1gJvtKusJBsbrds6p8XB8FC2VvrZDGZQsZbcImyNm6QRlJsFkllZFP/ev37HcnJjLlfC+v0zp543bFRkOdVtgyHte+SzZefg5ypPnKvAok5RCAdV+rOMgBCRyxdaYqCosi9NHSjd52yirXdevxCAWbDk/pEDuOq+53D5ph246r7nGhyBn5+ZVJJKlCEsW8tnz0ppsx34qHzU8cWEzlXjS3Z9svU5zp5seo5WgSf2Vmx5ARuf3E+OoaSJJxXJks2k8UiNxHG4/7/F2YSU8zlvwNc+w+GhrDWhQM09noy2IVgzaR9wqtkrqmuZm/YjEVJRkfY9PLp+BZZ8dA52HjqpvJ8uMg2VkK3pbOxfvmmHcZe2VuNMIehocO1bLx1reC73Pr4/UpYw74tFIYkYLs2ktbaobekgAEwUy1L/UkbQ6rTxxP2SCsLwP9/x6gnpZ956v2C0Lok2l2rM6PZTBrZvmpYdfuulYy33w7sdvRKtFqEdteuqzTpqGYssTVrWgYcypmzr3KlrkEXuqO4nVIefTkEluimmLorvqZ0p8RSoEsC4hv3IaI7UB2BlBSYO4LnY5nDzLdcYlV1SXV1aUeJlAiqdPl8r3eJrwKlW65UQGOhLkdoZqk1atZ6yiHZ/yoXvOdKOEdRclXVJYWBZHGwu25ZOJVGSl2SpFhtTuqwIk2tWkRc2pFTad+vp4jpdN1FTgIk0f+eHOUwUy/j9ZRWYxLJk71EcH1cYdoxh10cFgEzKF010x8T9lu96SX2GiYbHEXhuB8SyA12JioOqGGtSYvzDQ1k8sfdoU+o/MK2dwZdIUI0ARFtq56GTRs+eEgOX4e5a10Sd7WBqf7J5bFIWNF6salKq3K55hEi/SZtlNl7FznO7dv1E+Xzilm/JYNsK3Ab8HGc6JJ1Q0KE6jQF2e0ErwMhzVRcnU/Bt2oHpeQqioYJMeHvN0gX47n45GQKYlXvLEAJSbaaoWlf8fnnn9QulhCEfUFFpHunWJZlkSRI2z+nxKSuisxyGbdWQ60b0MnhahLilSibQDdKoE0pMk35oeJlVFE+XZh31muKkmncDTBabdqfEy9CKqO39IwewYfsYqQ/wwK3XGEUBHQdtjSC3C6bPXDa3upXsEqMkKiI2iuCoqjTAwbTxly8EQFh1MkzXr9mz5LEPz3GkWRw2UaE4EcMo51OVN/ERQRnY2mNyzbp1yiZqxpdNqcSKb9j6Iv7qJbnRN14sWztIfKmcLHMmbgkzMD3XxYxO3XXJnp9pKTif3j9VqtSzMro5ZX3LswetnJmJIPn7eut9+TvkMwdl7+Ce7WMYevAFAKiv1xvXLsFT+3LG5QIm+yHLEH5oeJmR7WAyftl3TJ0gVlJI2WfZTBqbb7lGem2rr5wn/c41l86p/3uwv9p17pH1KzA+VcI928dw+aYdOHj8A+V1FYIydh46iTuvX5hYpitVTpwEWObrii0v4JsdIHc8x8Gj61fgt65fJP297zm4/MJ0x53jpPQc+blgkmUeAg1rtoMQ2185piRB4xBQsvU+zrNn331oeBnuXr2onrHjOQ7uXr2oIaBCgRGsVDb2vAFfKllClTubwnMdZVYzBarL60zxGeOil8HTIti25IwCHStqqptggk5F8Xi045m2EibZOUlkQCWBJN/3yGiOjEaJZV9UlhbDXdcv6vg4bBWiPvPhoSy+/PSrRhug7zlYf93CerRXjEr5bpXAyE8EDZFTVeYVZeCIxohqvVLpaKnmjWxNkHYNqrWnprKERFBkVCUMyd+ZGl/iHKeerQ4m59OJL6qcaAfTGmEMsmwE03XKtvse/29q3LQiksyXOt+zfQxbnj1YF2G2EQ9XGZFsrl9umBEEyJ8fld30wDMHyW5o7Wp7HgeqKLIpkrgvk6AMFVU/PRE0zDXbZz88lCX3QweQttfuT7n1c8jEw2XjV7bmb9g+ZrUuHc8X8Mj6FaR9JhMLnuW7eO3Eh9Lj8VlTYrMABpUuEP/dp/blcPvKLJnhZIOiYTlJVHRSSJm9a6qDUVAOpdlsMxEqv0G13/Ai7lEIBxuwAIZtUwkK/H700PAyaYdKXYdLai7ruj/K/JqJYsl4jddp81A4O1kis7fPB/QInhahHY66ztg03Zzb3Yo3KrqF/IgKU4KqG8i0JKEq/xDFaqlUboan9uWwavH8c+r5JIHbVl5mlL66/rqFDRu7TbtuqoSMKr3iDYqR0RzGp0rkdY0XS2S7WNW8ka0JcboG8deuImPjllGK5R1ROo6ZnE9Xg66aayEaMxXirkumxqm4JraiE58NREcdiF7CLMKmDEf2vqkxnS8EDSWEG5/Yr/x8J6LyqrUnKY2EuPdlEpRRnYMncKI8e2p8iGNBtobIxMNVNpSslbMpLs2kjeyzqdL0NcUl8EzBMnlYl9jubRzeWXiOo7TVOgFWLuY5Du68fmEiJB0LXADy7kqq/abdz0YMyOj2QlaWGGU/0nW4TPsuWbpsgqjlznEQVMKGLEgdEXWuoUfwtBCtdtTZse99fL90MzYRc2x3K964mMnkx0wnqKJCZcCKJMDZSZoEALoz2twN0IkNM2x/5VgDQWY6n3RjV0VcmhAYLM2fimSrzi3eA2thLUJFiIjOps5pTzKTUKaRcqagFjY1PZ/KqTRxomVRRAo6snDj2iVSbSPXqWZwiRob/DFVbe1N4TkOKjUha1vw6w77w67tsT1HMTftY5bvSu9BBSqjAg6Moo6mpFlQCfHAMwfJz4cA+Z5bEQDS2R1JZWbFTcU3Ccro3gH7XRR9PdOgEEXk3iPR+qHWfCoTic2buWkfxVJZmrkwwRH01NiwLblLEmy96ybyotug0izpFPpTjdqPUYMhPEIA391/omF/l/k9ndQ25CHuPUCznpq476xaPN96zdbp+zhItt14Ero8JuDnPNUx81xFj+CZ4TBxsFSYKSnb5wpmMkEVFdRC7qCxRfi25w8bKeR3mxHSDbDRS9jy7MFYYzAE8M6ZyQbn4eHblimj8SYGmeoeZPOGcjx1TpGOzBHT+imDxtSAMnGQxfsbGc1h45P7pR0mshbGlcqpNB0zJqS/SaBgeCiLvUdONZRrDvZ5+NpvyPWQZBkFcUROy2FolTEjgn9eMgFgB8BdnJaBCaiMoO/uP2GU/m6T3cSOJ6asM8jeWVIBIHEOTBRLysyypMRs46bimwRldO+AlcpHKTE3DQqp5rLpO6OOUQlDPLJ+BbY9fxj/f3v3H6NZVd9x/HNmeBae1YRZkBAcViCWQCCjTiGyZv9RmootopPFWoi2pjHtPzYRamiX1gSwJEtDUm2TtknTmtrG4qKQ6apNqOFHmtCIsg5IFyRgBXFKgXZ3Vtxd2GH39I/n3uHOnXPuPffX89x75/1KCDvPPPM89z7PPeee8z3nfM/hY6uacQR6Dh1d3bCcMamOJXdVFKnvymoyAfM4xAPCbQhqxNJ9kbqCL66lcK4g/gW7v92K7zR5riF9iDL9jLzycXT1pI6u5Cf+D1XXzNwi5W6z9W0J8PRAlZkhbZqyjX7y5Un5xI71+XRCr7nNkiCtiCKjIUUa2nHHLJ2vJ5mn5OZ7n9CeXXN6ePeVztcougQl2RlMjlCl/33k+BtrHVXfCFzeMoTllWPOpW3HVk/oW4+/qLec6r5FhjagXO8Xd4Suftc52TlsUq2WwZTRnb+xMYFhlqxOZZFGcl7DKGSgYHFpWffsX153WlnxXNdrVmlsx4Ex1+dx2mAqt1wk6x3fsX31uz8tvIQ0OSPo1n0HNlyPK1Hn2bXrUpElilJ+jo84yXT82nUMALnKgE+dMy1mhoNaGvJ5ZT3+nS9fTlxXlm2nhdQ1pw2mdCxjdDrkO8u6dpLnFgczXQ4dXdWNex/TDXsfWxeInuS2xGXquzJCrtlP7njHxHbHyjKYNt7ZqZOWDqzH5Wd2ZqjzzxzqP358sLbPs0jewHEycu+qVaei55qV6y1EXr0ZyurNpawhwZ7N1LclwNMTZWeGtGFbbp+u5AZCttCGbegNZrMkSCvipqsuqnyjTEt3zHw3zqzOw+LSctBNN26EZ22N7Pt38jiSnVPX8RRZJpDOY1JmxCorAWuyI59+fddsttWT1tvR9ym6tC7ruyqz01myPBcNFhRtiOVdZ0ej7Zxds82k7I7NYMqsq3d8x2alzI60756WtfQgPiffNZi+1ue/8G+VZkvEWxFL9QwAFdnat+xMi+Fg2pkfbFziMuu6fyWXyjc1gzeZ28Yn73P1jai7ylRWOXNdr+PuVJmoMkiW76wccOMwMxzorkdeaF1wR5LesuUU7+zUD1x81kSDUsmBn3Sg+OCR4/rEjnesDZSklywdOvK6c0mh8WyFnu731DXLZDiYlpF1HstgSjppTeYM1bz7SlnpwTTf7E6fqm2krHoz1LQx6+6jee3grA09+oYAT0uNK7jR1p2pupYbCNlCGrYhQYq6RmX7ZmF+1pvsOC10e+YiHbM4V4tr1x5fc2Hb1o15V3be8UClxlSyc5rO41J1JK7M9N4iHZuQhKxS8brQV/Z8wR/fZ+UL+i8uLXt33EmOPBYNFpQZPX0u2lkong2TDATGyZKzZpt5r5PUlIW8nb3i3bG2bR2szdRKjzAmv8fQshZyDd5yzaXe5X2h4vepYwAotAyUnWkxm7huJzkYNMm2VMgmM3nfWfx5pctNFXnXUWPsm7uMVcnbMjszXKsrPr/4RNBGBi6DKaMjx9+olEMsyyd3jLY2LxuISe4O5bpfZJ23kTbMqK1Lsvz4Bgge/NEr3vrcl8jX2o1LVX0bnsTvXfT6TbdvJG3IQeealevbWbHuIKlrMG0wZdY2Oolz3s0W2PEq5P7kWiJftlxJG9t8ed9V1oYefUOAp4XKBDfKBoSqLO9qUp9yA4V8N8xWyg9SjHtUtk1Cro9brrk0tyE7mDLBn2HRBkV8Uw0duXVtWV5HIyZZT9SRlDGp6PEV7djEr5/3d3XVha7cP66R7vQMluTzb773CW/HJTnyWDRYUHRW2ttTMyXuvO/pDR3VvG2p4yBj+jjTScBDd+RJz9RKPz8+niLXVd5z68pTkbf1dSjf9z4zHOgtp54SnLQ9a3eYpmbGFDHJtlRIAvLQ7yxkNlAR8XXkSrBeRJHZBacPB2sDDvLM1siTvs5vX5jTt3/4YuHZcdu2jgZUmspBNDMcrOX9ipPrhi5XieUF/3y5y+Lg6o13P1bqM85z7WVvlusyswkz76PWPciUllxCG9qWmBkOnO0bKb9+CN05rypXH2v1pNXWLadsOPYi5/7fK8eCZ6ourxzT3u+94H2tne88I2gJXvK+njfrKmtDj74hwNNCRYIbrpHKukZ4J6kvuYFCgnXMVnqTL0ix2bY3TAq9PlwdjA9cfFZ2npcMVUZd80ZufTv81TXSG9cTRWYhhSjayCo6xTt+/ZC/q3tEPLMR50m6EfL5xt9F0RkORWalxa/vet+0vJ3BQu49C/OjhNFVRh6Tr1vkug+5BpOdkrJLN0O3vs7j+95v/Yi7Ps96zzK7w4zTpNpS11+xPfdajPPgZB1f3fWlNAq23LrvQKXgjqR1HfLThwOdMjU6znQgI54ts9YmLvG2vvbGSoEgjTHSFz/+Hi3Mzza2JbSR9OF3n7P2c/L6c82USCZvj7nq4PTfnn/maOlk8qM0ks4/c6g/KLn1/LatA73trVv0zMtHvM9J7g5a1y50MV8ww8dVL7lyAGUNRIbOZB/HTMAifSzXuftm9Zw+HHjbq76gks/DPz4YdjKJ4w4Z4OhaP7IsAjwtFFrwshrkXZ3tEmtzbqAiQoJ1fZqtVFVbZ5RNUpXr4/Lzzii0q09S1fXnZWYAFHnPwdRo1NrVPojriTpv5GUaWUWWPSRfP6SRUnfixazOnW/UK+Tzjb+LMmU7ZFaa5F66mbeMyhdED733XH7eGdr7/RcqL0uIP4eQ8yx6DS7Mz+rrj/60UEM5lrwWq1xjZb73rGWFm/le4BPX8VlBnviaf/T5g96gf9X60hVs+flrq0FLyPKkO+QPPfSQnrv+/c4d2srOltk6mNKpg2mtHF11BsRCA7HppTdNLVGzku7Zv+xM7O4qK7cvzOXOBnYNKLmO3apYBzxp2pi1uj1L8nosEvhI55bx1atFr3fXZ1r37PtxtYGL9rHSwcNb9x3Y8JzhYFrGyNtebTKwkp7B65uNm35unxHgaViZwh9a8PJGW6oUpkkvGWprbqCiQoJ1fZmtVBca8euVDfhWnQnmmxGUXibhU2YGQPr5vl20spLjJuuJ0IZ13jrzIluTu84pnk1RZHZV3iyMuhMv5tU3rt/nfb7pOrto2XZdD+lcD74R0/geIrmTq/qCpKH3njvve7pycCe5xCh+zXTy56r34a/+7vv0+cUndNcjL6wl8ty6ZVpHjvvLcN25zqrW6ZNuj3TB7Qtza7mefI6tnliXpyV9j8gqz8lcR1nLdeoKtrj4Zhckr4Uys2WSSwDj43XdP0OWZrpm/1TNM5Kl6GBgXpDCl0+tjJ3vPMMZBLr+iu1Bs8XSnXYpvz505ZbxLVero6PfRHt1HG3gsn0s38SC+Lq/0TNjtOhM1SJ8x92XfmRZBHgaVLbDFXpR5jXIy1ZebVgy1JeZHCHBur7MVkIzqgR8q84EczU0Lj/vDH3u7sczG4Hp2ShFO/VFj9dXT4Q0rONEmq6Gy3AwrT275mqpd5potC1H693reN28xperPnLdq+LGdJWgWFL6cwvt7MePvfT0D7yvHTod3fUeZQPwvs8na9ZKVbcvzG2Yybe4tOzMizKYDs/TNQ5taI90RchMMF8eqIV5d/4KVx3oa5/WEWzJEtImmomSxIaKO6Yh98+QGXFbUztSLS4t6579y/7jHQ70+hsnKy2NqzqYm/w+6wruzAwHG4LL08bo+iu26/aFudxrw5f0OK/Mu75Hq42zy9rY0c8bBKqy5D6tbB/LF5iLr/usTRpc9ctgykhGhQZLpsxoKVhI/qQy59gXBHgaVLbDFXpRZt3IqlRebVkylB75vrHgFsFtEBKs83WS8nJFYHOoGvCteyZYfC023bEvcjy+90qu4XfxLYtqU2MgXirgU1dnN6tz6EuyPInPrEigbGF+Vg8dfkazMydLT0f38QXEkh2J5C5abbqmJPfywTbmOmtLe6ROTc1ISpbHMsndQ8pzkTKfFTSOO/vpsvHo8wedu0GFtmlD4xPp+1TWzIPY4tKyfvDTw5mvm77fZs1USc4+TH6eRWc5VBkMbCLvkqS183IFl6Xsa6NKG8LX3onbJm2rh2OuQHZycMr1c9V7f5lBp7x2ZlZ7NWum6o13Z+eKS393yddJL6dkxucIAZ6SQi6gKh2uvIK3uLSsX7zmnnpetZHWpiVDXR+9K9pgytpKtwvnG6OCrU9og3qcM8HaGgxJy6qzXI3IcUyNLiqv3q1zRy3Jky/Ik2Q5/ru2fWZpTUzVDp3t0Gbpcrx1S/uahG1qj9Sh6TZNcmAsNJ9Z0XtEaJm/6aqLvLPE7vzYuze8RjzbJR2jKdKmPRywxftz0RbqSSH3z6LLiqTs63TPrrm1103eR4sE6MrWY3EbrcqSmcGU0UlJJ1Lfb7xte7yTmat90FT9mbWxg2879TYoE2ibRKA7r5zktQ2z6o4XnnzU+fi2rYN1352rDr1h72O67ZsHdPW7zlmXRqCrfag6tO9u3gErx1Z18/35N+gmO1x33ve0M/t41vZ8odq0ZKgPo3chjaH4Oa6kYF07364H5doo5Boa93rjLnTsu9rYSwoZ0a2rsxtPsU4HeLq+tWgTAcmuBDmzdKGublN7pA7jatPEr5W3i1ryHtFUHrfQWWJ5yz9C5C3R8u3gGHL/zKtnXffbvJ0kXZ93nA/I1+GfNkYnrQ2uc1xLf/Jy6SXfI14atLxyTNNRjp54gERyz8jIu46aqj/H2Q4qM5Dp+5uy9/BxB7pDPt8ybcOF+Vn98/M/lHRy3eOD6VFC7iRfPXHo6Kpz9l/X+lB1IcBTwkuHX9Ox1al1j7kuoKYqmsWlZW+DP2T0Ik/V465z9kbfRu/y9OF8+xCU66L0TLBpY9Y+9+TvN5M+JNkLyatRZ2e3D3WQSxMByS4EObN0oa7uQxlOGmf5ysqJIW2cxVjmeshr7xUpIyGfTfx+121/VX/iWMKetUQr67oJCTiUWVaUdf36Pu8Hf/SK9uyac86mLDrLxRW0c3WCq7xH+nk773gg6Dpqqk6Wmg+8lwmGZv1N2QTEeff+Lu3y9faZob70mxdWyn/nu6673n4pgwBPCcdPnJQ0teHx9AXUREGIKwifurLCS+WOu+4RoL6N3uXpw/n2tYPYBXEZa/uo/Lj0YZZF1hJOqf7Obh/qIITpQl3dhzKcNO7yVWQpjO97j/MBpj//cbf31r3fdvf7ZQ1y5gUtkgGHZO7H+JzLLCvKun6z8v4kl9pVufZ9SYd9powqDwyNq17xfTbjCLyXCYZm/U3IDm1peff+pmZoNvn5hrx2mWCYlTZdTlMCPCVsmd4Y3JHcN+i6C0Jewra6Gvplj7vuEcG+jd7l6cP50kGcrC6Myo9T12dZSO6OR1Od3T7UQQjTlbq6D2U4NomltFK1pMjxpg/S+k7iuNt7Ie+XtSSqyqyXm+99Qnt2zWnPrrnC9a/v+g0pf1Wv/aJBlTjzQ5VgwDjqlUkvLy0TxMr6m4X5WWeC8eTmFUV30fKVl1v3Heh0fRoyq9llsw12EuAp4ezTT9NwcGIiDeC8hG2Tvmjrjtz3bf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%% Cell type:code id: tags:
``` python
```
......
......@@ -112,10 +112,6 @@ durations:
Start: PrrtSendEnd
Stop: LinkTransmitStart
Source: sender
Encoding:
Start: PrrtEncodeStart
Stop: PrrtEncodeEnd
Source: sender
ReceiverIPC:
Start: PrrtReturnPackage
......
import math
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (16, 9)
......@@ -10,54 +10,21 @@ plt.rcParams.update({'figure.autolayout': True})
def trace(df, title, export=False):
fig, ax = plt.subplots(figsize=(8, 4.5))
plt.grid()
base = df["PrrtSendStart_T"]
sender_color = "#AAAAAA"
receiver_color = "#888888"
series = np.transpose(np.array([
["PrrtSendStart_T", "PrrtDeliver_T", "black", "EndToEnd"],
["PrrtSendStart_T", "LinkTransmitEnd_T", sender_color, "SenderTotal"],
["PrrtSendStart_T", "PrrtSendEnd_T", sender_color, "Send"],
["PrrtSendStart_T", "PrrtSubmitPackage_T", sender_color, "Submit"],
["PrrtSubmitPackage_T", "PrrtTransmitStart_T", sender_color, "SenderIPC"],
["PrrtSubmitPackage_T", "PrrtSendEnd_T", sender_color, "Enqueue"],
["PrrtSendEnd_T", "LinkTransmitStart_T", sender_color, "SenderEnqueued"],
["PrrtTransmitStart_T", "PrrtTransmitEnd_T", sender_color, "PrrtTransmit"],
["LinkTransmitStart_T", "LinkTransmitEnd_T", sender_color, "LinkTransmit"],
["LinkReceive_T", "PrrtDeliver_T", receiver_color, "ReceiverTotal"],
# ["DecodeStart_T", "DecodeEnd_T", receiver_color, "Decoding"],
["HandlePacketStart_T", "HandlePacketEnd_T", receiver_color, "HandlePacket"],
["PrrtReturnPackage_T", "PrrtReceivePackage_T", receiver_color, "ReceiverIPC"],
["SendFeedbackStart_T", "SendFeedbackEnd_T", receiver_color, "Feedback"],
]))
n = series.shape[1]
starts = df[series[0]] - base
ends = df[series[1]] - base
plt.hlines(range(n), starts, ends, series[2], linewidths=[5])
plt.xlabel("Time [us]")
fig.canvas.draw()
ax.set_yticklabels(series[3])
ax.yaxis.set_ticks(np.arange(0, n, 1))
if export:
plt.savefig(title)
plt.show()
def box(df_data, export=False, title=None):
ax = df_data.plot.box(vert=False, grid=True)
def box(data_frame, export=False, file_name=None):
"""
Display a boxplot for the durations contained in data_frame.
:param data_frame:
:param export:
:param file_name:
:return:
"""
ax = data_frame.plot.box(vert=False, grid=True)
fig = ax.get_figure()
ax.set_yticklabels(list(map(lambda x: x.get_text().replace("_D", ""), ax.get_yticklabels())))
plt.xlabel("Time [us]")
fig.set_size_inches(8, 4.5, forward=True)
if export and title is not None:
fig.savefig(title)
if export and file_name is not None:
fig.savefig(file_name)
def describe_table(df):
......@@ -87,7 +54,7 @@ def correlation(df_data, title="Correlation.pdf"):
i = 0
for column in columns:
ax = df_data.plot.scatter(ax=axes[i // cols, i % cols], y="EndToEndTime", x=column, grid=True, marker="+",
ax = df_data.plot.scatter(ax=axes[i // cols, i % cols], y="EndToEnd_D", x=column, grid=True, marker="+",
color="black")
ax.set_ylabel("EndToEnd [us]")
ax.margins(0.1, 0.1)
......
......@@ -18,7 +18,7 @@ def _filter(x, durations, source):
def extract_durations(config):
durations = config["durations"]
durations_send = [_dn(x) for x in durations if _filter(x, durations, "sender")]
durations_recv = [_dn(x) for x in durations if _filter(x, durations, "receiver")]
durations_send = [x for x in durations if _filter(x, durations, "sender")]
durations_recv = [x for x in durations if _filter(x, durations, "receiver")]
return ["EndToEndTime", "Sender_D"] + durations_send + ["Receiver_D"] + durations_recv
return ["EndToEnd", "Sender"] + durations_send + ["Receiver"] + durations_recv
......@@ -5,9 +5,9 @@ from xlap.analyse import box
def jitter_causes(df, durations, export=False, file_name=None):
stats = df["EndToEndTime"].describe()
stats = df["EndToEnd_D"].describe()
threshold = get_outlier_threshold(stats)
outliers = df[df["EndToEndTime"] > threshold]
outliers = df[df["EndToEnd_D"] > threshold]
reasons = [d + "_D" for d in durations.keys()]
......@@ -33,8 +33,8 @@ def trace_jitter(data_frame, export=False, file_name=None):
"""
Displays (and saves) a stacked boxplot of durations.
"""
thresh = get_outlier_threshold(data_frame["EndToEndTime"].describe())
df_no_outliers = data_frame[data_frame["EndToEndTime"] <= thresh]
thresh = get_outlier_threshold(data_frame["EndToEnd_D"].describe())
df_no_outliers = data_frame[data_frame["EndToEnd_D"] <= thresh]
box(df_no_outliers, export, file_name)
print("{} / {} are no outliers.".format(len(df_no_outliers), len(data_frame)))
fig = plt.gcf()
......@@ -45,4 +45,4 @@ def trace_jitter(data_frame, export=False, file_name=None):
def prep(df, config):
plt.rcParams["figure.figsize"] = (16, 9)
plt.rcParams.update({'figure.autolayout': True})
return df[extract_durations(config)]
return df[[x + "_D" for x in extract_durations(config)]]
import numpy as np
import matplotlib.pyplot as plt
from xlap.analyse.common import extract_durations
def _create_line(config):
tr = config["time_reference"]
color = {
"sender": "#AAAAAA",
"receiver": "#888888",
"e2e": "black"
}
def _creator(duration_name):
if duration_name == "EndToEnd":
return [tr["sender"]["Start"] + "_T", tr["receiver"]["Stop"] + "_T", color["e2e"], "EndToEnd"]
elif duration_name == "Sender":
return [tr["sender"]["Start"] + "_T", tr["sender"]["Stop"] + "_T", color["sender"], "Sender"]
elif duration_name == "Receiver":
return [tr["receiver"]["Start"] + "_T", tr["receiver"]["Stop"] + "_T", color["receiver"], "Receiver"]
else:
duration = config["durations"][duration_name]
return [duration["Start"] + "_T", duration["Stop"] + "_T", color[duration["Source"]], duration_name]
return _creator
def trace(data_frame, config, export=False, file_name="TraceJitter.pdf"):
"""
:param data_frame:
:param config:
:param export:
:param file_name:
:return:
"""
fig, ax = plt.subplots(figsize=(8, 4.5))
plt.grid()
line_creator = _create_line(config)
durations = [line_creator(x) for x in extract_durations(config)]
series = np.transpose(np.array(durations))
n = series.shape[1]
# Starts and Ends
tr = config["time_reference"]
base = data_frame[tr["sender"]["Start"] + "_T"]
starts = data_frame[series[0]] - base
ends = data_frame[series[1]] - base
plt.hlines(range(n), starts, ends, series[2], linewidths=[5])
plt.xlabel("Time [us]")
fig.canvas.draw()
ax.set_yticklabels(series[3])
ax.yaxis.set_ticks(np.arange(0, n, 1))
if export:
plt.savefig(file_name)
plt.show()
......@@ -76,7 +76,7 @@ def evaluate(sender_file, receiver_file, config, kind=0):
df[name + "Cycles"] = diff
df[name + "_D"] = diff * df[duration["Source"].capitalize() + "Cycle_D"]
df["EndToEndTime"] = df["Sender_D"] + df["Receiver_D"]
df["EndToEnd_D"] = df["Sender_D"] + df["Receiver_D"]
return df
......
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