Created
February 15, 2024 19:49
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "bf5cc7a0-d997-4dd1-80b8-4a89fe2a8067", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2024-02-15T19:45:21.028426Z", | |
| "iopub.status.busy": "2024-02-15T19:45:21.028055Z", | |
| "iopub.status.idle": "2024-02-15T19:45:21.272766Z", | |
| "shell.execute_reply": "2024-02-15T19:45:21.272434Z", | |
| "shell.execute_reply.started": "2024-02-15T19:45:21.028402Z" | |
| } | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "import matplotlib as mpl\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "import numpy as np\n", | |
| "\n", | |
| "mpl.rc(\"font\", size=22)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "69bf3fbf-4a55-457d-8b82-8756bd9ca48d", | |
| "metadata": { | |
| "execution": { | |
| "iopub.execute_input": "2024-02-15T19:45:21.286078Z", | |
| "iopub.status.busy": "2024-02-15T19:45:21.285929Z", | |
| "iopub.status.idle": "2024-02-15T19:45:22.080241Z", | |
| "shell.execute_reply": "2024-02-15T19:45:22.079902Z", | |
| "shell.execute_reply.started": "2024-02-15T19:45:21.286068Z" | |
| } | |
| }, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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Pmvqo+Z4uIuo1EO/SpUt8+9vfjsmTJ8eXvvSlFu+b5nfGGWfEX//61zqH0IUUuu4/8cQTMXHixJg5c2ZMnjy54L465phjYvz48XHcccdFz549Y8uWLbFu3bp47rnnYsmSJbFz586C14sePXrEihUrDD9b0G9+85u4/vrr9/nzR332x9637dixY1x99dXRo0ePWLNmTaxevTreeOON+PDDD/d734iIE044IebNmxf9+vVrzFOiiXbu3BkTJ06MefPmRcS+v1YREYceemgMGTIkBg4cGH379o0jjzwyunfvHgcffHB07tw5SkpKIpPJRHV1dVRVVcXmzZujsrIy1q9fH2vXro2VK1fG8uXLo6KiYk/Nuh4zk8nE+PHj46mnnvK+AnOsImC+SU1mnOzNfJNCzDfZm/kmdTHfpC7mmxRivklN5pu0JmZZ6TLfpCbzTfZmvkkh5pvUZMZJIeab1MV8k7qYcbI3883WqSTtBgBqevPNN+NHP/pRwTeUdb0J3dfQ4amnnooRI0bEU089Fccff3wLPAOS9utf/7rO4Xd932yuWbMmpk+fHjfccEPcfvvttW6fy+XiC1/4QlxyySUxfvz46Nu3bxx00EHx0UcfxapVq2Lu3Lnx0EMPxfvvv1+r9qZNm+JHP/rRntQ2WkYx5DDVp4c0hvU03ssvvxw//elP9/m60rFjxzj11FNjwIAB0atXr4iI2LBhQ7z77rvx0ksvRXV19Z7XrL1fv3K5XEyZMiXOOuusOPHEE1N5fu3J8uXL49NPP837Opx99tkNqjFt2rQ9w++a++Cyyy6LW2+9Nfr27VvwvkcccUQcccQRMXz48Ljqqqti7dq18bOf/Sz+4z/+o1a9ZcuWxb333htXXnll0540jVZosLX31zuXy8WWLVti5syZMXPmzBg8eHBceeWV8d3vfjcOPfTQNFomYbNmzcobgEf8v1+OdOjQIb70pS/FGWecEUceeWRERKxbty4WLVoUL774Yt7AOpfLxS233BITJ06MO++8s9brybBhw+L222+Pr371q3X28t5778WNN94YDz30UK3rxaZNm+Lee++NG264oTk+DdTw1FNPxfXXXx8Rtd/T7X4fOGDAgBg1atSeX4JmMpm8X4KuXLky7/67h50zZ86MOXPm5P1Sbf369bFo0aL485//HI899lhUVlYW3JNvv/12TJgwIZ5//nm/EEnBDTfcEPPmzatzEN25c+eYOHFinHPOOXHmmWdG//79E3nc1atXx7PPPhtz586NOXPmxPbt2wvuj/nz58f1118fv/71rxN5XKBxzDcpxIyTmsw3aQ7mm22H+SYNYb6J+SaFmG9SiPkmUB/mmxRivklN5ps0B/PNtsWMk/oy38R8k7qYcVKT+WYrlQMoIjt37syNHDkyl8lkctlsNpfNZvf8O5PJ5DKZTO6kk07KTZo0KfeP//iPueuuuy53wQUX5Hr27Lnn/O777X3/TCaT69WrV+6VV15pdG+XX355Xi/ZbDbBZ05dNm/enOvWrVvBr+sRRxyR+9WvfpV7/fXXc5s2bcpt27Ytt3Llytz06dNzQ4YMqbWP+vTpk1u7dm2tOgceeGDunnvu2W8v27Zty/3sZz8r2Es2m80tX768BT4j5HK5gt/rLfGx+3pS1/Wmrr3x85//PO1PWbtQ8xp9xRVXNLjG4MGDa9XZ/e/+/fvn7rvvvtzmzZvrvP/mzZtz9913X27AgAF11hk1alRTnib19Oijj9b6Gtx77731vv/27dtzPXr0qPU93alTp9zvf//7Rvc1a9asXMeOHWvVHTRoUKNr0jCF3tN97nOfK3htL3S89+0OOOCA3EUXXZSbN29e2k+LJjrjjDNqXa8zmUxuzJgx+3yPV1pamhszZkytPfXHP/6x1tqFF16Y27p1a717uvvuu3MlJSW19uCAAQOSeMrsx6ZNm3K9e/cueB3o1q1b7tprr829++67+63z3nvv5W644YZc9+7da+2x7t2755YtW1bwflVVVbmZM2fmTjzxxDqvTePGjUv6abMfi/8/9u48PM6yXPz4PelGW6ClVMpWdtBKoSwFARUQREQFQRGRo9geBRUUjyDifgARUcQji4iiLMrihogiiKxWkEVAFgEtIig7hRYo0IW27+8PfomZZ+62STvJJO3nc11zNfO2886TzLczyZ306S23VAMGDEg/719llVWqE044oZoxY0aPr+PZZ5+tvv71r3fMQsq1DBgwoPrzn//c4+ugbzPHah3zTTJmnJTMN8mYb9KZ+SYLY75JxnyTkvkmGfNN+huzrNYw3yRjvknJfJOM+SYlM04y5ptkzDfJmHFSMt/sv2xiAPQp2Rer7W/vtdde1X333Zfebt68edXFF19cbbfddukAvf3tkSNHVjfccMMSrc0QvDV+8IMfpI/pW9/61kV+cjF37tzq4IMPbnjMPvShD9UdGzZsWHXNNdd0a01nnHFG+gnoUUcdtZTvLV1VfnOst4bihuB929IOwX/1q181nKP9sT700EOruXPndvlcc+fOrQ477LD0fG1tbdUf//jH7r57dNOJJ57Y8HHvzjfDr7rqqvT158c//vFSr+3HP/5xeu5bbrllqc/N4i3sc7qbb765Ouigg6qVV155sc/z2WvB+uuvX331q1+tHn300Ra/h3TX/fffn/6dfPe73129/PLLi739yy+/XL3rXe+qO8faa69dd33bbbft0rlKJ5xwQrq2m2++eUneVbrhs5/9bPqNkde//vVdGnyXHnroofSbLa9+9aur2bNnL/R28+bNq775zW9WQ4cOTT/PPOmkk5bm3aSb3vKWt6Rd7LXXXtXTTz/d6+t55plnqne+853pmnbfffdeXw99izlW65hvkjHjpGS+ScZ8k87MN1kY801K5ptkzDfJmG/S35hltYb5JhnzTUrmm2TMNymZcZIx36RkvsnCmHFSMt/sv2xiAPQpu+yyS/pJ3gknnNDlc5x33nnV6NGjFzpMX3HFFaurr76622szBG+NN77xjQ0f96233nqRnyR29o53vKOugfZdl9qP/d///d8SravzIL39fGuttVa1YMGCJTof3ZMNwXtjGG4I3rct7RB8hx12SF+DvvKVryzxmr72ta+l59x///2X+Jx0zZFHHtnQxBNPPNHl23cefLT/uueeezZtfZ1fn9p/PfbYY5t2fhZucZ/Tvfjii9VZZ51Vvf71r+/S8335ujBo0KDqHe94R3XJJZdU8+fPb9F7SXdkP3Cx/vrrL3Ln9tLMmTOr9ddfv+H5vlZ7ZUfNe+65Z4nXN3HixIZmTznllCU+H4s3a9asatSoUQ2P584771zNmjVric87Z86catddd214PLvyueItt9xSrbbaag3PPyNGjGjJ8HV5NHXq1PTzug9/+MOtXlr14Q9/OF3b1KlTW700Wsgcq3XMN8mYcVIy3yRjvkln5pssjPkmJfNNSuabZMw36Y/MslrDfJOM+SYl800y5puUzDjJmG9SMt8kY8ZJyXyzf6tVVVUFQB/w4IMPxoYbbhi1Wi0iIqqqilqtFp/5zGfia1/7WrfO9cQTT8QBBxwQ1113Xcf52lVVFSussEL84he/iLe97W1dPufkyZPj3HPPjVqt1rG2+fPnd2tddM/cuXNjpZVWinnz5kXEf5q46aabYptttunSOR566KF49atfXXeOdq997Wvjr3/96xKtbfr06bHhhhvG888/X7e2P//5z7HVVlst0Tnpura2tobnilGjRsWKK67YY/f59NNPx4svvlj3HLDOOut06baf+tSn4rDDDuuxtfGK9i7aH58PfvCDcdZZZ3Xpto888kiss846DV3tvffecdFFFy3Vuvbdd9/45S9/WXfuQYMGxTPPPNOjzS7vDjnkkDjjjDPqmnjppZdiyJAhXbr9zjvvHFOmTKm7/Y033hjbbrttU9Z30003xQ477FB3/j322CMuvfTSppyfhevO53R/+9vf4swzz4zzzjsvpk2bFhHR8LllZ+2fZ7T/mTFjxsTkyZPjv//7v2PDDTds8ntCs3z0ox+N73//+3VNfOc734mPfvSj3TrPGWecEYccckjDa8nb3va2+M1vfrPE6/vpT38a73vf++rW9773vS/OO++8JT4ni3bJJZfEPvvsU/dYvupVr4qpU6fGiBEjlurcM2fOjE022SSeeuqpjnOvssoq8cgjj8TQoUMXedu//OUvsdNOO8WLL77YcdtarRaf+9zn4rjjjluqdbF4J510Uhx55JF1fxe33nrruPHGG2PAgAEtXdv8+fNju+22i9tuu61ufV//+tfj05/+dEvXtiz7wx/+EH/4wx9avYyFuvjii+POO+80x+pl5ptkzDjJmG+SMd+kM/NNFsZ8k5L5JiXzTTLmm2TMOCmZb5Ix3yRjvknGfJOSGScZ801K5ptkzDgpmW/2c0u29wFA8/3oRz9q2J1z/PjxS7wD2vz586vPfOYz6e5rtVqtGjJkSHXRRRd1+Xx28u19t956a8PHfPvtt+/2efbcc890V6NTTz11qdZ30EEHNazvzDPPXKpz0jXl3+tarVa96lWvqn70ox/12H16Duj7ysenOzv5nn/++Q3PE8OHD2/KrnjPPPNMteKKKzY8B1111VVLfW4WLnuOfumll7p8+3HjxtU9ZmussUbT17j66qvX3ccmm2zS9Pug0ZI8n7/88svVz3/+8+qtb31rNWDAgG7v7tvW1la96U1vqi644IJqzpw5vfBe0h2ve93r6poYOHBgt3bxbff88893/I8Rnfv63ve+t1Tre+GFF6qBAwfWtbX11lsv1TlZtEMPPbTheeL0009v2vm/+93vNpz/ggsu6NJtv//97zd8zrLGGmvYObwXvPOd72x43PrS53NXXXVVw/re+c53tnpZy7Sjjz66x/83maW9+Bq295lvkjHjJGO+ScZ8k87MN1kY801K5puUzDfJmG+SMeOkZL5JxnyTjPkmGfNNSmacZMw3KZlvkjHjpGS+2b+1tXoTBYB2N954Y931Wq0WRx11VLS1LdlTVVtbW3z961+Ps88+OwYOHNhw7rlz58b+++8fF1xwwRKvmZ71l7/8peHYvvvu2+3z7LXXXunxd73rXd0+V2cHHHBAw7FszTTf9ttvX7cjc61Wi2eeeSYmTZoUu+++ezz44IMtXB390ZQpUzrerv7/zmeTJ0+OVVdddanPPWrUqJg8eXJdsxGv7OJKzxk+fHjDsSeeeKLLt2/ftbW9h3HjxjVtbe023XTTui6efPLJpt8HzTFw4MDYd9994/LLL48HH3wwvvzlL8fYsWOjqqqGv9sRr7wutV/a/8wf/vCHeP/73x9rrLFG/M///E/cfffdLXhPyEybNq1uh+ZNN910iXZaX2mllWL8+PENTeywww5Ltb7hw4fH5ptv3vF8FBExY8aMpToni3bnnXfWXR8wYEDsv//+TTv//vvv3/A16u9+97su3faggw6KzTbbrOH1o/PnMvSM++67r+65YsyYMbHrrru2cEX1dt1111h99dUjIjpef+67774Wr2r50P5a3xcv9D7zTTJmnGTMN2k2881lj/kmzWS+uWwz36RkvknGfJNFafUc04yz7zDfJGO+ScZ8k2Yz31w2mXHSLOabyzbzTTJmnJTMN/s3mxgAfUY5OBwwYEDss88+S33eD37wg/Gb3/wmhg0bVne8VqvFvHnz4oMf/GCcffbZS30/NN9TTz3VcGyrrbbq9nkmTJjQcGzNNdeMNddcc4nW1W7bbbdt+CbNX//616U6J11z/fXXx7e//e0YPnx4xyf/7UOGK6+8MsaPHx/f+MY3Yv78+S1eKf1F9nf3wAMPbNr5P/CBDzQcu+WWW5p2fhqNGjWq4Vh3BuDPPfdc3fUxY8Ys9ZpKq622Wt31l156qen3QfONHTs2jj766HjwwQfjd7/7Xbz73e+OQYMGLfSHaMph+IwZM+LUU0+NLbbYIl73utfFD37wg3jhhRd6+b2gs2effTYi/vMNr3XWWWeJz7Xuuus2HFtjjTWW+Hztys9b29dMz3jggQfqhp0TJkyIVVZZpWnnHzlyZGyxxRYdzVVVFXfccUeXb//xj3+84djVV1/dtPWRa//6tP1x23LLLVu8okZbbrmlb663QOdvfve1C73PfJOMGScZ802azXxz2WO+SU8x31z2mG9SMt8kY77JorR6jmnG2XeYb5Ix3yRjvkmzmW8um8w46Qnmm8se800yZpyUzDf7N5sYAH3GM888U/dJxuabb57uwLck3vKWt8Tvf//7GDFiRN3xWq0W8+fPj4MOOijOOOOMptwXzVMOHyIiNtlkk26fZ7311ut4u/0TliU5T2nYsGGx0UYbRcR/dkp65plnlvq8LF6tVovDDjss7r777thtt906Htf255BZs2bF5z73uZg4cWLceuutLV4t/UH5GjRs2LAl+obbwmy11VZ1r2lVVcWjjz7atPPTKHuev/7667t8+/Kb57NmzVrqNZVmz55dd73c0ZG+rVarxVve8pb4+c9/Ho8++miceOKJ8ZrXvCbd3bfz61Tngfif//zn+MhHPhJrrLFGHHTQQXb4bpGZM2fWXS+/ZuiOlVdeueHYyJEjl/h8CztHuWaa6/nnn4+I//zdXWuttZp+H+U3Nv797393+bb77LNPww/u+d9Eel75Dctm/I8PzVb+AMCLL77YopUsf/zPYLQz3yRjxknGfJNmM99c9phv0tPMN5cd5puUzDfJmG+yOGacRJhvkjPfJGO+SbOZby6bzDjpSeabyw7zTTJmnJTMN/s3mxgAfcaMGTMiouc+ydh+++3j2muvjdGjR9cdr9VqsWDBgjj00EPj29/+dlPvk6WTDcCX5IuSnvpiJCJi7bXXrvtCN1szPWfdddeNK664Is4666wYOXJk3ZChqqq48847Y/vtt4//+Z//8QkgizR9+vSI+M9r0Pjx42PAgAFNO/+AAQNi/PjxHeeP+M/rHj1j8803bzh2ySWXdPn2Y8eOjYj/fIPz8ccfb9ra2pXnzF6v6B9WXXXVOOKII+Kee+6JG264ISZNmhTDhg3rGHaXg6rO37itqipefPHFOOuss+L1r399jB8/Pk4++eSO5yV63tChQ+uuL82O2tltm/E5SHmOcs0015w5c+quN+uHsxZ1zu50Mnr06IYfxLn//vubuj4arbDCCnXX++LXF+VzULlmekfnH/Zt9YXeZ75JxoyTRTHfpFnMN5c95pv0JvPN/s18k5L5JhnzTbqj1XNNM87WMd8kY77Jophv0izmm8smM056i/lm/2a+ScaMk5L5Zv9mmyigzygHhz3xReCECRPiuuuuize/+c3xxBNPdBxv/6ThiCOOiDlz5sRRRx3V9PumOcpdFbtiyJAhDcea1Vd5nvYdv+hdkyZNij322CMOOeSQuPjii+sG4fPnz49TTz01Lr744jj99NPj7W9/e6uXSx/07LPP1l3viZ3ZynOW90lzjRs3LlZfffV48sknO54Pbr755vjb3/4Wr3nNaxZ7+wkTJsQ999zTMai84447YubMmbHSSis1ZX0zZ86M22+/vWNttVot1l9//aacm9bafvvtY/vtt49TTjklLrjggvjhD38Yf/7znyMi0mF4u/ZvqN97771x+OGHx2c/+9nYe++948ILL+y9xS+nRo4cWbdD51NPPbXE58pu+/TTTy/1555PP/103fVm/TAHuWHDhjWtiYWZNm1a3fXuvr5stNFGcf/993c8j5Tno/lGjRoVL730Usdr97333tvqJTW49957615byp19aa7Bgwd3vN35c7rDDz88VlxxxRau7BW/+tWv4s4772z1MpY75pt0lRknJfNNlpb55rLHfJNWMd/sf8w3KZlvkjHfJGPGScl8k64y36RkvsnSMt9cNplx0grmm/2P+SYZM05K5pv9m00MgD5j6NChdZ9k9NTuZePGjYspU6bELrvsEo888kjH8fYXss9//vMxd+7c+NKXvtQj90/XZcPuF154oSnDh/KL0CVVftNuaXZ+Y+mMGTMmLrroovjlL38ZH//4x+OJJ56o2yXx4Ycfjr322iv23XffOOWUU2LMmDEtXjF9yYorrlg3lF5llVWafh/lOWfOnNn0+6De3nvvHWeccUbHc8GCBQvi4x//eFx11VWLve1b3/rWuOCCCzquv/zyy3HRRRfFpEmTmrK2X/ziF/Hyyy/XvR5tttlmTTk3fcOKK64YBx98cBx88MHx17/+Nc4888w4//zzOz7HXdhAvH333zlz5sTPfvYzQ/BesMoqq8TDDz/c8fXAHXfcEQsWLIi2trZunWf+/Plxxx13NDy2t956a2ywwQZLvL4FCxY0nNcQvGeNGTMmXnjhhY4mpk6d2vT7+Pvf/173mJb/48zilA30xV1llzWvfvWrO54rIiKmTp0af//73+PVr351i1f2ir///e8dXbV/c32TTTZp9bKWaZtuuml6fM8994wdd9yxl1fT6KGHHvIDvi1gvknGjJOuMt9kaZhvLpvMN2kl883+w3yTkvkmGfNNMmaclMw3yZhv0lXmmywN881llxknrWK+2X+Yb5Ix46Rkvtm/de8ZHaAHtb+Atz9h98ROSe023HDDmDJlSqy33nodx9pfJKqqiqOPPjq++MUv9tj90zXZrt59bWhUDryHDh3aopXQ7l3velfce++9ceCBB3bsith5Z99f/OIXMW7cuDjzzDNbvFL6knKX3Tlz5jT9PmbPnl13fdCgQU2/D+oddNBBHW+3Pwdce+21cdpppy32tvvss0+MGDGi7rZf+tKXmvKNzpdeeim+/OUvNwzKdt1116U+N33T+PHj4+STT47HHnsszj///Nhll10i4j+793bW/ppF7yl/QOull16Kq6++utvnufrqq9MhZFe+6bYoN954Y8cPC9n1u3dsuOGGdX8/H3nkkab+kNxdd90VDz/8cET85zFdbbXVluqc3f2mDd23zTbbNBw75phjWrCSXLaWbbfdtgUrWX5MnDgxPX7rrbf28kroS8w3yZhx0l3mmywJ881lk/kmfYX5Zt9mvknJfJOM+SYZM05K5ptkzDfpLvNNloT55rLLjJO+wHyzbzPfJGPGScl8s3/ztwPoM1ZbbbWGTzJ60rrrrhtTpkyJjTfeuG4A3v7r1772tTjyyCN7dA0s2hprrNFw7NFHH12qczb7i8rOO39GRAwfPryp52fJjBw5Ms4555y44oorYt11160bhldVFc8++2x89KMfjZ122in+/ve/t3i19AXtnbQ/Rzz33HNNv4/ynNlO5TTXlltuGXvssUfDc8AnP/nJOOOMMxZ52+HDh8fHP/7xus9NHnvssdh///1j/vz5S7ym+fPnx3vf+96G17Phw4fH29/+9iU+L/3D4MGD433ve19cddVV8cADD8TnP//5WHPNNTt276U1ssHWN77xjW6fp7xN+3POBRdcEM8888wSr+/kk09uOJatmebJPr4nnnhi087/zW9+s+HY1ltv3a1zlF+HZD88RHN1fp1u//v905/+NM4666wWruoVZ599dvzkJz9p+HrX5xY9a80114zVV1+94bgf8F2+mW+SMeNkSZhv0l3mm8sm8036GvPNvsl8k5L5JhnzTTJmnJTMN8mYb7IkzDfpLvPNZZcZJ32J+WbfZL5JxoyTkvlm/2YTA6DPGDduXN31p556Kh544IEevc+11lorrrvuunjta1+bDsK/9a1vxf/8z//06BpYuLFjxzYcmzp16hKfr/0LzGZ+kVl+4jlq1KimnZult9tuu8Vf//rX+PjHP97xCWHnXX3/+Mc/xhZbbBHHHHNMvPzyyy1eLa20ww47dLxdVVU89thjTb+P8vli5ZVXbvp90Ogb3/hGDB48uON6+9//Qw89NI444ohF7tr8uc99rmPX//bb/fa3v40999wznnzyyW6v5cknn4x3vOMd8dvf/rbjOan9845JkyYZXixn1ltvvTjuuOPiX//6V/z617+OvfbaKwYMGGAY3gKdXwPa/65fc801ceqpp3b5HKecckpcc801HX+3hwwZ0vF7s2bNWuIfrrnmmmvil7/8ZcNgy+6cPestb3lLx9vtTVx44YXx+9//fqnPffXVV8f555/f8Ji++c1v7tZ5nnjiibrro0ePXuq1sWg77LBD3dyivY2PfOQj8e1vf7tl6zr55JPj4IMPrvvcIiLiNa95Td3zGz1j4sSJDT9scdttt7V4VbSS+SYZM06WhvkmXWW+uewy36SvMt/sO8w3KZlvkjHfZGHMOOnMfJOM+SZLw3yTrjLfXLaZcdIXmW/2HeabZMw4KZlv9m82MQD6jPHjxzccmzJlSo/f7+qrrx7XXXddbLbZZukg/NRTT42PfexjviBpgXXWWafh2JLuuvqhD32o7rLjjjsu7fIiIuL++++va6Z9UELfMWzYsDjllFNiypQpsckmm9R98zUiYs6cOXHsscfGFltsEddff30rl0qTvfDCC/Hvf/+7S5cNNtig7rZTp06NefPmNXU95fPF2muv3dTzk9t0003j2GOP7fi73/k1/tvf/nZsvPHGceaZZ8bs2bMbbjts2LD4+c9/HiussEJE/OeL3SuuuCLGjx8fxx13XJcG4U8++WR85StfifHjx6fDk5VXXjm+9KUvLeV7Sn/V1tYW73jHO+JXv/pVPPLII/G1r30tNt5441Yva7my7bbbxmte85qO6+1/1z/1qU/F8ccfv8idu+fPnx/HH398HH744R23i4j4whe+UPd8c+6558b//d//dWtd9913XxxwwAENX4esvPLK8YY3vKFb56J7Xv/619d9LdL+OL773e+OG264YYnPe/PNN8e73vWuhuMrrLBC7Lzzzl0+z/z58+Pee++t+7xi/fXXX+J10XWf//znGz6nmD9/fhxxxBHxpje9Kf785z/32lpuvfXW2GWXXeLwww9veJ6q1WrxxS9+sdfWsjybOHFiw7EHHnggnn/++Rashr7AfJOMGSdLy3xz+WW+SYT5Jn2f+WbrmW9SMt9kYcw3yZhx0pn5JhnzTZaW+ebyy3yTdmac9GXmm61nvknGjJOM+WY/VgH0EVdccUVVq9Wqtra2jl8/8IEP9Nr9T58+vdp6660b1tD+67BhwxqO0bNmz55dDRw4sO5j/ta3vrXVy+rwwAMPNDRxyCGHtHpZLMKcOXOqz3/+89WgQYOqtra2jkutVqtqtVo1YMCA6uCDD66effbZhttOmjTJc0Af1/nxaX+7O5fy8b3zzjubtrYHH3yw4fz/9V//1bTzs3j7779/+hrf/vYqq6xS/fd//3d18cUXVzNmzKi77TXXXFOtuOKKDc8ZbW1t1cCBA6sJEyZUBx98cHXMMcdUJ598cnXKKadUxxxzTHXwwQdXEyZMqHst69xm+9vnnXdeaz4oy6n+8nx+3XXXVQceeGCrl7HcOOmkkxb6dcBGG21UHXvssdW1115b3XfffdXf/va36tprr62OPfbYauONN264zeqrr17NnTu3WnPNNRv+vn/kIx+pnn766cWu57zzzqtWWWWV9DnjE5/4RC98ROjcROfHYPDgwdXRRx9dzZo1q8vnmjNnTnXcccdVQ4YMSR/TT33qU91a2x133NHQ6WGHHdbdd5EltMsuuyzyc4rtt9+++s53vlM99NBDTb/vf//739V3v/vd6vWvf31DR53f3nXXXZt+3+R++9vfpo/BNddc0+ql9ZvPeZY15ptkzDhpJvPNZZv5Jotivkm7/vJ8br7Zu8w3KZlvsjDmm5TMOOnMfJOM+SbNZL65bDPfZHHMOKmq/vN8br7Zu8w3yZhxkjHf7J9qVWVrSqBvePHFF2OVVVbp2IGmqqpYeeWV48knn4whQ4b0yhqef/752H333ePmm29u2NG3Xefji9rVi+Z47Wtf27Fzb1VVMWLEiJgxY0aLV/WKiy66KN7znvfUNfHtb387PvGJT7R6aSzGnXfeGR/60Ifi9ttv79jRN+I/u3GNGTMmTj755HjPe97T8XuTJ0+Oc88913NAH9bW1tbwnN1dnR/fr33ta/GZz3ymKWu7+OKL493vfnfd+b/4xS/GMccc05Tzs3gvv/xyvOtd74rf/va3dX/vI6Jhh+/a/98NcbPNNosNNtggxo4dG48//nh861vfqvt7X35+kFnUn6mqKo488sj4+te/vnTvHN3i+ZzMSy+9FOPHj49//etfERENXwcs7u94556+/vWvx6c//ek4/vjj44tf/GLHbdt/f8UVV4x99903dtttt9hwww1j1KhR8eKLL8YTTzwRf/zjH+OXv/xl/O1vf+v4853vq62tLe6+++4YN25cT344iIi5c+fGuHHj4qGHHoqI+iZqtVqMHDkyPvjBD8Zuu+0Wr3vd62LUqFF1t3/22Wfj5ptvjquuuirOOeecmD59evqYDhs2LP75z3/Gaqut1uW1nXDCCfH5z3++bj3nnHNOfOADH2jK+86iTZs2Lbbeeut49NFH645nzxfrrLNOTJw4McaPHx8bbbRRrLXWWrH66qvHyJEjY+WVV47BgwfHwIEDI+KV3ZnnzJkTM2fOjGeffTaeeOKJeOSRR+If//hH3HPPPXHrrbd2PEct7P6qqoqxY8fGrbfeGq961at67GPAfzz11FOx+uqrNzzXt78WtJLPeVrDfJOFMeOk2cw3l03mmyyK+SbtPJ+TMd+kZL7JwphvUjLjpDPzTRbGfJNmM99cNplvsjhmnER4PidnvknGjJOM+WY/tZhNDgB61Q477NCwI05v72w3c+bM6o1vfGPDOrJdveh5++23X8PH/e677271sqqqqqoPfehDDWu78cYbW70sumj+/PnV1772tWro0KENf8/br++5557Vww8/XFVV/9n5cXlWS3ZSW5qdfHfaaaemrS17vvjFL37RtPPTNfPmzasOOuighfbR3s6iGsp+r7xdV8/zuc99rtUfkuWS53MWpvP/LLK454eF/f0eN25cx+6uzz33XLXaaqst9jmkq88zbW1t1RFHHNHij9Ly5Y9//GPHTuyLe4yGDh1arbHGGtWaa65ZDR06tMuP6Wmnndbtdb3uda9reB6bOnVqD3wEWJj777+/Gjt2bPr3uSufByzJZXHnrdVq1TrrrFPdf//9rf7wLHfGjh3b8Hf7ve99b6uX5XOeFjLfJGPGSU8w31z2mG+yOOabVJXncxbOfJOS+SYLY75JyYyTzsw3yZhv0hPMN5c95pt0hRknns9ZGPNNMmacZMw3+5+2Vm+iANDZLrvs0nDstNNO69U1rLjiinHFFVfELrvsku7kS+963ete13Ds8ssvb8FK6s2bNy8uvvjiul2TBg0aFFtttVULV0V3tLW1xWc/+9m444474g1veEPdTljtf+8vvfTSeO1rXxsnn3yyXR77kfbHcElu1/5rVVVxww031O2WtqTmzZsXv/rVrxrWNGHChKU+N90zYMCA+P73vx/nnXderLTSSg2v7+3tdH4eKC/tOl8vb1deOquqKkaOHBk/+clP4vjjj+/5dxrosre85S3xta99reHvesTC/553/nMrrbRSXHjhhbHCCitERMTKK68cZ555ZsNu3gt7fimfV0qvfe1rPW/0sje84Q1x2mmnLfT1ovPjNnv27HjiiSfi8ccfj9mzZ9f93sI+N/nwhz8chx56aLfWdN9998Utt9xS93nL2muvHRtvvPGSv6N020YbbRS33HJL7Ljjjkv0+cSSXBb3+cWOO+4YN910U2y00Ua9+aEgIiZOnNjw/H3rrbe2ckl1zLR6n/kmGTNOeoL55rLLfJOFMd8EFsV8k5L5JgtjvknJjJPOzDfJmG/SE8w3l13mmyyKGSewMOabZMw4yZhv9j82MQD6lL333rvj7fYXi1tuuSWmTJnSq+sYOnRo/Pa3v4099tjDILzFdthhh46321/oL7300lYtp8MVV1wRM2bMiIjoaGTrrbeOwYMHt3hldNcmm2wSU6ZMidNOOy1WXHHFhi8+X3jhhTj88MPjwgsvbOUy6aJmfZERETF//vz43ve+t9RruuKKK2L69Ol1x0aOHOkLlBY64IADYurUqTFp0qRFvsYvbpgdkTeXqaoqBgwYEB/60Ifib3/7W+y3335NfZ+A5jjqqKPipJNOira2V8YlXfmmalVVseqqq8YVV1zR8A3OvfbaK77yla8sdkiWDc06n3/TTTeN3/3udz7XbIGPfOQj8Z3vfCdtYXGP46JeOyZNmhSnn356t9dzyimndJyj/bLHHnt0/x1jqa2++upxzTXXxMknnxwjRozo1ucTS3LJVFUVI0aMiFNOOSWuueaaWGONNXryXWYhJk6cGBH1fy8ffPDBePbZZ1u6rg9/+MNx9tlnd1zOOuuslq5neWK+ScaMk55kvrlsMd+kK8w3gYUx36RkvsnCmG/SmRknnZlvkjHfpCeZby5bzDfpKjNOIGO+ScaMk4z5Zv9Sq0x1gD5mgw02aNg5cZdddokrr7yy19fy8ssvx3vf+96GHRjbB5529ux5L7/8cowePTrmzp3bcWzQoEHx8MMPx4gRI1q2rh133DFuuOGGumNHH310fOlLX2rRimiGRx55JA4++OD43e9+1/B3vl37F6aeA/qec889t+nnHDVqVOy5555LdY6ddtoprr/++rpj73jHO+KSSy5ZqvPSHP/85z/jpJNOigsuuCCee+65iOja0GtxOj9vjBkzJt7//vfHxz/+8Vh33XWX+twsncmTJ8e5557r+ZxFuuuuu+KQQw6JP/3pT3XHywF1W1tb7LvvvnHyySfHmDFjFnq+U089NY488siYO3dul59j2u9n9913jwsvvDBGjhzZ/XeEprnuuuviwAMPjEceeWSJXyeqqoohQ4bEKaecEgcddNASnWPKlCkxa9asumObbrpprL322kt0Pprjueeei+985zvx3e9+Nx599NGIaM7nE5n254a11lorDjnkkDjkkENa+rUxEdOmTYt777234fg222wTw4YNa8GK6AvMNymZcdJbzDf7N/NNloT55vLHfJOuMN+kZL7JophvYsZJyXyTkvkmvcV8s38z32RJmXEuX8w36QrzTTJmnCyM+WbfZxMDoM858sgj46STTqo7VqvV4ne/+13stttuvb6e+fPnxwc+8IH4yU9+0rAmXzAtn6688srYfffd647VarW46aabYptttmnRqmimH//4x3H44YfHM888k34DzNCErpoyZUrsvPPODce/+c1vxuGHH977C2Kh5s6dG5dddllcdtllce2118YDDzywxOcaNmxYbLHFFrHjjjvG7rvvHm94wxtiwIABTVwtS6N9CN7O8zmLcu+998bFF18ct956azzxxBPxzDPPxMorrxxrr712vP71r4/3vOc9sd5663XpXHfffXcceeSRceWVV6bfYC9ttdVW8dWvfrXh805aZ9asWXHSSSfFaaedFk899VTH8UUNO9sf2+HDh8dBBx0URxxxRKy11lo9vlZao6qquOaaa+Liiy+OK6+8Mu6///70zy1uQL6wce3GG28cu+22W+yzzz6xyy679NigHVh65pv0B2acyzbzTZrFfLP/MN9cfphv0h3mm3RmvsnimG8C7cw36Q/MN5dt5ps0i/lm/2LGuXww36Q7zDcpmXGyKOabfZdNDIA+59lnn02/6HzVq14V66yzTgtW9MoL0GmnnRbTp0+vO/6///u/LVkPrXXnnXfGQw89VHesVqvFXnvt1ZoF0SOmTZsWhx56aPziF79o+OTSEJyu+uc//xkPP/xww/HNNtssRo0a1YIV0VUzZsyIu+++O6ZOnRqPPfZYPPHEE/HCCy/E7NmzY/78+TFo0KAYMmRIrLTSSjF69OhYbbXVYr311osNN9wwNt5442hra2v1uwD0UX//+9/j0ksvjRtuuCEeffTRePbZZ2P48OHxqle9KsaMGRM77LBD7L777rH++uu3eqksxMsvvxxXXHFFXHbZZXHzzTfH1KlT48UXX6z7MyuttFKss8468cY3vjF23nnn2G233WKVVVZp0Ypplaeeeipuv/32uOuuu+Kf//xnPPTQQ/HUU0/FM888E88991zMmTMnXn755Yh45X+rGTx4cIwYMSJWXXXVGDNmTKy33nqxwQYbxGabbRZbb711rLbaai1+j4CuMt+kPzDjXPaZb9IM5pv9l/km0FPMN/s/8026ynwTll/mm/QH5pvLPvNNmsF8s38z4wR6gvnmssGMk64w3+w7bGIAALAIl1xySRx66KHx2GOP1R03BAcAoN1zzz0XL774YgwcODBGjRoVAwcObPWSAAAgIsw3AQBYPPNNAAD6KvNNAAC6wowT+i6bGAAAAAAAAAAAAAAAAAAAAABN0dbqBQAAAAAAAAAAAAAAAAAAAADLBpsYAAAAAAAAAAAAAAAAAAAAAE1hEwMAAAAAAAAAAAAAAAAAAACgKWxiAAAAAAAAAAAAAAAAAAAAADSFTQwAAAAAAAAAAAAAAAAAAACAphjY6gUAAAAAAAAAAAAAAAAAAABAq5111llx/fXXd1yv1Wrxwx/+sIUr6p9qVVVVrV4EAAAAAAAAAAAAAMuOF154IZ5//vkYNmxYjBw5stXLoY/QBSVNkNEFJU2Q0QUZXVDSBBldkNEFnU2ePDnOPffcqNVqUVVV1Gq1mD9/fquX1e8MbPUCAPqLP/3pT/GPf/yj7tiBBx7YotXQF2iCjC7I6IKSJsjogowuKGkCAAAAAICeMm3atBg8eHCMGDFiiW7/6KOPxplnnhlXX3113HbbbTFnzpyO31thhRXi1a9+dey0006x3377xfbbb9+sZdPDdEFJE2R0QUkTZHRBRheUNEFGF2R0AX1fraqqqtWLAOgPJk+eHD/60Y/qjtk9Z/mmCTK6IKMLSpogowsyuqCkib5p3rx5cdNNN8Xtt98e//rXv2LmzJkxePDgGDNmTIwbNy7e+MY3xpgxY3rs/o888si46KKLOq7XarV44IEHeuz+WDxNkNEFGV1Q0gQZXVDSBBldkNEFJU1Quvrqq+OnP/1pXHHFFfH44493zJtXWGGF2G677eJd73pXTJ48OYYNG7bI88yaNSuOOuqo+N73vhfz5s2LiIiF/WhqrVaLiIhtttkmvvnNb8Yb3vCGJr5HNIMuKGmCjC4oaYKMLsjogpImyOiCjC7oTZMnT45zzz03arVaVFUVtVrNz+suiQqALpk0aVJVq9U6Lm1tba1eEi2mCTK6IKMLSpogowsyuqCkib7l8ccfrz75yU9Wo0aNqtra2hZ6GTBgQLXjjjtWv/jFL3pkHe1dtLW16aLFNEFGF2R0QUkTZHRBSRNkdEFGF5Q0Qen++++vdt55547HvvPcufP8ua2trRozZkz161//eqHnevjhh6vXvOY1DefJGivvY8CAAdUXv/jFXnzPWRRdUNIEGV1Q0gQZXZDRBSVNkNEFGV3QCubZzdHW6k0UAPqb2v/fQQnaaYKMLsjogpImyOiCjC4oaaL1fvCDH8Qmm2wSp556asyYMSOqqlroZcGCBXH99dfHfvvtF1tttVXccMMNrV4+PUATZHRBRheUNEFGF5Q0QUYXZHRBSROUrrnmmpgwYUJMmTKl47Gv1WoNl/bfe+qpp2LvvfeOb3/72w3neuqpp2LnnXeOv//97w3nyZT3sWDBgjj++OPjoIMO6uH3msXRBSVNkNEFJU2Q0QUZXVDSBBldkNEF9G8DW70AAAAAAID+5FOf+lSccsopUVVVRHRtU4n2P3vHHXfETjvtFIcddliccMIJMXjw4B5dK71DE2R0QUYXlDRBRheUNEFGF2R0QUkTlG688cZ45zvfGbNmzYqIRTfR+feqqoojjjgi1lprrXjPe97Tcfyggw6Kf/7zn11qq7POPyReVVWcddZZsfHGG8dnPvOZbr5HNIMuKGmCjC4oaYKMLsjogpImyOiCjC5oN2XKlF6/zyeeeKLh2B//+MeOGfqirLfeerHOOuv0xLL6nwqALpk0aVJVq9Wqtra2jl9ZvmmCjC7I6IKSJsjogowuKGmi9b785S9XtVqt4+O/JJf222611VbVgw8+uNRr0kVraYKMLsjogpImyOiCkibI6IKMLihpgtKLL75YrbPOOnVNdKePWq1WrbrqqtW0adOqqqqqX//61+nt27ur1WrVSiutVK255prV4MGD645ntxk6dGj1wAMPtPijtPzRBSVNkNEFJU2Q0QUZXVDSBBldkNEFnS3NnHtpLp076M4ajjnmmFZ/yPqMtlZvogAAAAAA0B/ceOON8dWvfrVjV+VSVVXppfPvR0THjsx/+ctfYuutt44//elPvfY+0FyaIKMLMrqgpAkyuqCkCTK6IKMLSpog87//+7/x8MMPdzRR/f//Qa797aqqYsSIEfGqV72q47Hv3EVExIwZM+Jb3/pWRER84xvfaLiPqqrine98Z1x00UXx3HPPxfPPPx+PPvpozJkzJx5++OH43ve+F6973evS/61s9uzZ8dGPfrTZ7zaLoQtKmiCjC0qaIKMLMrqgpAkyuiCjCzILm2331GVJ7p9CBUCX2A2ekibI6IKMLihpgowuyOiCkiZaZ/bs2dXGG2/c8PFvf3vYsGHVO97xjurYY4+tvve971WnnXZa9clPfrLafPPNF7kLb61Wq4YPH15dfvnlS7w2XbSGJsjogowuKGmCjC4oaYKMLsjogpImyDz99NPV4MGD08d1/Pjx1QUXXFA999xzHX9+7ty51WWXXVbtuuuuDQ2NGjWqmjp1asPxVVddtbrqqqu6tJ4zzzyzGjJkSMNa2traqptvvrmnPgwUdEFJE2R0QUkTZHRBRheUNEFGF2R0QWlhc+uevrTPzBc1O8+6OOaYY1r9IeszbGIA0EW+kUpJE2R0QUYXlDRBRhdkdEFJE61zzjnnLHQIfdhhh1XTp09f6G3vuOOOar/99mv4Rkjnt4cMGVJddNFFS7Q2XbSGJsjogowuKGmCjC4oaYKMLsjogpImyHz7299OH9fJkydXL7/88iJve9xxxzU8bnvvvXfdsVVXXbW6++67u7WmX//619WgQYMa1nTooYcuzbtKN+iCkibI6IKSJsjogowuKGmCjC7I6IJS58ev/ZLNwJt96Xx/XbnP9j9jE4P/sIkBQBf5RiolTZDRBRldUNIEGV2Q0QUlTbTOxIkT0x/YvvDCC7t8jj/+8Y91/wteObweNGhQ9eMf/7jba9NFa2iCjC7I6IKSJsjogpImyOiCjC4oaYLM1ltv3fCxf/Ob39zl20+ePHmhPbS1tVXnnXfeEq3rqKOOauh11VVXrebOnbtE56N7dEFJE2R0QUkTZHRBRheUNEFGF2R0QalzD3390tZmE4POalVVVQHQB1xyySVxySWXtHoZC3X99dfHP/7xj6jValFVVdRqtZg/f36rl7VM0wQZXZDRBSVNkNEFGV1Q0gSZe++9N8aPHx+1Wi0iouNj/61vfSs++clPdutcs2bNio9+9KPx4x//uON87aqqira2tjj99NPj4IMP7vI5J0+eHOeee64uepEmyOiCjC4oaYKMLihpgowuyOiCkibIvPTSS7HyyitH+4+KVlUVAwYMiHvuuSc22WSTLp3j6aefjvXWWy9mzZrVcY6IiFqtFttuu23ceOONS7S2WbNmxfrrrx/Tpk3rOG+tVosbbrghtttuuyU6J12jC0qaIKMLSpogowsyuqCkCTK6IKMLMm1tbQ1z73XXXTfWXXfdHrvPv/3tb/Hkk0/WzbN33HHHLt128uTJceCBB/bY2vqTga1eAEC7O+64I84555yGb3yy/NIEGV2Q0QUlTZDRBRldUNIEmRtuuKHj7fZh9HbbbdftH/yOiBg6dGice+65Hbfv/EPatVotFixYEB/72Mdi1qxZS3R+eocmyOiCjC4oaYKMLihpgowuyOiCkibI3HHHHbFgwYK6H7bdeeedu/xD3xERo0ePjj333DN++tOfRq1W6zhXRMTHPvaxJV7b0KFD433ve1+cfPLJdXP522+/3Q9+9zBdUNIEGV1Q0gQZXZDRBSVNkNEFGV2wOO2P5+OPPx6TJ0+Oz33uczFwYPP/qXz7prydXXvttU2/n2VdW6sXAJCpqqpPXmidVj/2muibWv3466JvavXjr4u+p9WPvSb6plY//rrom1r9+Oui72n1Y6+JvuOmm25qOHbUUUct1Tk/9rGPxeWXXx4rr7xy3fH2Afvhhx8eJ5xwwlLdBz1HE2R0QUYXlDRBRheUNEFGF2R0QUkTZO66666GY/vss0+3z7PHHnukx9/+9rd3+1yd7b///g3H/vKXvyzVOVk8XVDSBBldUNIEGV2Q0QUlTZDRBRldkNlvv/3qfn62VqvFnDlz4uijj44tt9wybrzxxhaujkWxiQHQJ7XvctTXLrROqx97TfRNrX78ddE3tfrx10Xf0+rHXhN9U6sff130Ta1+/HXR97T6sddE33H33XfXXR8yZEi89a1vXerz7rrrrnHdddfFaqutVne8VnvlB8C/8IUvxNFHH73U90PzaYKMLsjogpImyOiCkibI6IKMLihpgszTTz/dcGyLLbbo9nkmTJjQcGy99daLVVdddUmW1WHLLbds+J/S7r333qU6J4unC0qaIKMLSpogowsyuqCkCTK6IKMLMj/5yU/ikksuiTXXXLNjM4P2+fQ999wTb3zjG+OQQw6J559/vsUrpWQTA6BP8j9MUtIEGV2Q0QUlTZDRBRldUNIE7aZPn96xgUStVostttgiBg8e3JRzT5gwIaZMmRJrr712x7GqqjoG7F/5ylfis5/9bFPui+bRBBldkNEFJU2Q0QUlTZDRBRldUNIEmeeee67h2IYbbtjt82SP/QYbbLBUa4uIGDx4cLz61a+OiP/84PGMGTOW+rwsmi4oaYKMLihpgowuyOiCkibI6IKMLliYPffcM+6999748Ic/3HGs/T8HW7BgQXzve9+LcePGxS9/+csWrpKSTQyAPq/zPxpp9YW+odUdaKJvanULuuibWt2CLvqeVnegib6p1S3oom9qdQu66Hta3YEmWqv9mwztH/8xY8Y09fwbb7xxXH/99bHhhhtGVf3nB7/bfz3xxBPjU5/6VFPvk6WjCTK6IKMLSpogowtKmiCjCzK6oKQJMtkPfq+88srdPk92m5EjRy7JkhqsscYadfNv/2Naz9MFJU2Q0QUlTZDRBRldUNIEGV2Q0QWLstJKK8X3v//9uOqqq2L99dfveBzaZ9SPP/54vOc974m99947Hn300RavloiIga1eAEC7oUOHdrzd+ZucJ510UqyyyiotXNkrfvCDH8QNN9zQ6mUsVzRBRhdkdEFJE2R0QUYXlDRBZubMmXXXhw8f3vT7GDt2bEyZMiXe/OY3x7333tvwA+CnnHJKzJkzJ04//fSm3zfdpwkyuiCjC0qaIKMLSpogowsyuqCkCTIDBgxoODZkyJBun2fQoEENx1ZaaaUlWlOp/KHy7IfVaS5dUNIEGV1Q0gQZXZDRBSVNkNEFGV3QFW9605vir3/9a3zhC1+IU045JRYsWBC1Wi0iXtnk9ze/+U1ce+21cfzxx8ehhx7a4tUu32xiAPQZEyZMSI9vuummsdtuu/Xyahpdd911/qFIL9MEGV2Q0QUlTZDRBRldUNIEmeHDh9ftlvzMM8/0yP2svvrq8Yc//CHe/OY3x5133tnwA+Df+973Yu7cufGDH/ygR+6frtMEGV2Q0QUlTZDRBSVNkNEFGV1Q0gSZYcOGNRybOXNmjBgxogWryZVrnDNnTotWsvzQBSVNkNEFJU2Q0QUZXVDSBBldkNEFXbXCCivESSedFPvvv3986EMfir/+9a9Rq9U65tQzZ86Mww47LM4///z4/ve/H+PHj2/1kpdLba1eAEC7iRMnpsdvu+22Xl4JfYUmyOiCjC4oaYKMLsjogpImyIwcOTIiomO4/dRTT/XYfa266qpx7bXXxjbbbFP3g9/tv5599tlx4IEHRlVVPbYGFk8TZHRBRheUNEFGF5Q0QUYXZHRBSRNksv9hbubMmS1YycK98MILddezH1anuXRBSRNkdEFJE2R0QUYXlDRBRhdkdEF3bbPNNnH77bfHl7/85Rg0aFBERN1mBjfddFNsvfXW8YUvfMGGEy1gEwOgz1h11VVj3XXXbTh+6623tmA19AWaIKMLMrqgpAkyuiCjC0qaILP66qvX/bD1v//97x69v5EjR8ZVV10V22+/ffoD4Oeff34ccMABsWDBgh5dBwunCTK6IKMLSpogowtKmiCjCzK6oKQJMmuttVbDsaVto1arLdXtS88991zd9eHDhzf1/DTSBSVNkNEFJU2Q0QUZXVDSBBldkNEFS2LgwIFx9NFHx2233dax8W7Efx77l19+OU444YTYfPPN49prr23lUpc7NjEA+pSJEyfWvUhUVeUfiiznNEFGF2R0QUkTZHRBRheUNEFp0003rbs+ffr0uPfee3v0PldaaaX4/e9/HzvuuGP6A+A/+9nPYr/99ot58+b16DrIaYKMLsjogpImyOiCkibI6IKMLihpgszYsWMbjk2dOnWJz1dVVcelWaZPn153ffTo0U07NzldUNIEGV1Q0gQZXZDRBSVNkNEFGV2wNDbddNO48cYb45vf/GYMHTq0Y1bdPq++//77481vfnNMnjy54XGkZwxs9QIAOps4cWJcdNFFdccefvjheOaZZ2LVVVdt0apoJU2Q0QUZXVDSBBldkNEFJU1QGj9+fMOxP/zhD/Ha1762R+93+PDhcfnll8dee+0VV199dcMPgF988cXxrne9K1ZcccUeXQeNNEFGF2R0QUkTZHRBSRNkdEFGF5Q0QWbddddtOPb3v/99ic71la98pe76hAkTlug8nS1YsCCmTp1a181666231Odl0XRBSRNkdEFJE2R0QUYXlDRBRhdkdMHSqtVqcfjhh8fee+8dBx10UFx77bUdGxlEvLKxxY9+9KO47LLL4lvf+lb813/9V4tXvGyziQHQp0ycODE9fuutt8buu+/ey6uhL9AEGV2Q0QUlTZDRBRldUNIEpS233LLh2NVXXx0f+9jHevy+hw4dGpdeemnss88+8bvf/a7hB8B/+9vfdgzX6T2aIKMLMrqgpAkyuqCkCTK6IKMLSpogs/HGG8fgwYPj5Zdf7jh28803L9G5vvCFLzRrWR2mTp0as2bNquvDD373PF1Q0gQZXVDSBBldkNEFJU2Q0QUZXdAsG2ywQVx99dVx5plnxmc+85l47rnnOjYzqKoqpk2bFgceeGD8+Mc/jjPOOMPj2EPaWr0AgM623nrr9Pitt97ayyuhr9AEGV2Q0QUlTZDRBRldUNIEpe222y5WWGGFiIiOAfZll10WM2fO7JX7HzJkSFxyySXxzne+s+4Hv9t/XbBgQa+sg//QBBldkNEFJU2Q0QUlTZDRBRldUNIEmYEDB8arX/3qusfiz3/+c595PG6//faGY5tuumkLVrJ80QUlTZDRBSVNkNEFGV1Q0gQZXZDRBc120EEHxb333ht77bVXVFUVEVG3mcHvf//7GD9+fJx44ol9prNliU0MgD5l5MiRseGGGzYc9w9Fll+aIKMLMrqgpAkyuiCjC0qaoDRkyJDYfvvtOwbYERFz5syJ888/v9fWMGjQoPjFL34R73nPexp+ANz/YNf7NEFGF2R0QUkTZHRBSRNkdEFGF5Q0wcJMmDCh7vpLL70Ut912W4tWU+83v/lNw7FtttmmBStZ/uiCkibI6IKSJsjogowuKGmCjC7I6IJmW2ONNeJXv/pVXHDBBTF69Oi6zQwiXmnss5/9bEycOLHPtLassIkB0OdMnDix4YWgLz35d/5GL71DE2R0QUYXlDRBRhdkdEFJE5R23XXXuutVVcVpp53Wq2sYMGBAXHjhhfH+97+/7gfAaQ1NkNEFGV1Q0gQZXVDSBBldkNEFJU2Q2W677RqOXXbZZS1YSb1Zs2bFpZdeWrfBxQorrBCbb755C1e1/NAFJU2Q0QUlTZDRBRldUNIEGV2Q0QU9Zf/994/77rsvDjjggLqfEW6fYd9xxx2x3Xbbxac+9al44YUXWrzaZYNNDIA+Z+LEiRHxyjdR2y+PPvpoTJs2raXr+uxnPxvXXnttx+Waa65p6XqWJ5ogowsyuqCkCTK6IKMLSpqgtM8++3S83f5NiPvuuy/dWbkntbW1xbnnnhsf/vCH/QB4i2mCjC7I6IKSJsjogpImyOiCjC4oaYLMDjvs0PF2exeXXnppq5bT4ZJLLokXX3wxIqKjk+233z4GDBjQ4pUtH3RBSRNkdEFJE2R0QUYXlDRBRhdkdEFPGjVqVJx33nlx6aWXxtprr93wH57Nnz8/TjnllPjlL3/ZymUuM2qV7wwAfcysWbPiqaeeaji+1lprxcCBA1uwIlpNE2R0QUYXlDRBRhdkdEFJE2TGjx8f9913X92xrbfeOm655ZaWrOewww6L0047rW5n5/ZvjsyfP78la1reaIKMLsjogpImyOiCkibI6IKMLihpgtKCBQtiyy23jLlz53Yca2triz/96U8xYsSIlq1rwoQJ8de//rXu2Ne//vX49Kc/3aIVLV90QUkTZHRBSRNkdEFGF5Q0QUYXZHRBb3nhhRfiyCOPjO9///t1xzv/s/v2DXrNs5eMTQwAAAAAALrg6KOPjmOPPbbh+IUXXhjvfe97W7CiiKOOOipOPPHEumOG5b1HE2R0QUYXlDRBRheUNEFGF2R0QUkT9Ac///nPG3qs1Wpx5513xvjx41u0KlpNF5Q0QUYXlDRBRhdkdEFJE2R0QUYXy7YpU6bEhz/84fjHP/5RtxlvO5sYLDmbGAAAAAAAdMHLL78czz//fMPxFVZYIYYPH96CFb3iN7/5TUyfPr3u2Ac/+MEWrWb5ogkyuiCjC0qaIKMLSpogowsyuqCkCfqDhx9+uKGHWq0Wm2++eYtWRF+gC0qaIKMLSpogowsyuqCkCTK6IKOLZd+cOXPiS1/6Uvzf//1fLFiwoO73bGKw5GxiAAAAAAAAAAAAAAAAAAAAwHLrtttui8MOOywee+yxht978MEHW7Ci/s0mBgAAAAAAAAAAAAAAAAAAAEBTtLV6AQAAAAAAAAAAAAAAAAAAAMCywSYGAAAAAAAAAAAAAAAAAAAAQFPYxAAAAAAAAAAAAAAAAAAAAABoCpsYAAAAAAAAAAAAAAAAAAAAAE1hEwMAAAAAAAAAAAAAAAAAAACgKQa2egEArfb1r389rrjiio7rtVotrr766hauiFbTBBldkNEFJU3Q2cyZM+OZZ56Jp59+Omq1WowePTpGjx4dw4cPb/XSaCFdUNIEGV1Q0gQZXZDRBSVNkNEFJU2Q0QUZXVDSBBldkNEFJU2Q0QUlTZDRBRldUNIEGV2Q0QUlTTSXTQyA5d7f/va3uO6666JWq0VVVVGr1Vq9JFpME2R0QUYXlDSxfHvggQfi17/+dVx33XXxxz/+MZ577rn0z40ePTp22WWX2HXXXWPvvfeO0aNH9/JK6U26oKQJMrqgpAkyuiCjC0qaIKMLSpogowsyuqCkCTK6IKMLSpogowtKmiCjCzK6oKQJMrogowtKmuhhFcBybtKkSVWtVqva2to6fmX5pgkyuiCjC0qaWD7ddddd1f77718NHDiwamtr63j8F3Vp/3PDhw+vPv3pT1dPPvlkq98NmkwXlDRBRheUNEFGF2R0QUkTZHRBSRNkdEFGF5Q0QUYXZHRBSRNkdEFJE2R0QUYXlDRBRhdkdEFJE72jVlVV1eqNFABaafLkyXHuuefW/Y/J8+fPb/WyaCFNkNEFGV1Q0kTfN2/evPjRj37UcHzfffeNlVdeudvnO+644+KYY46JBQsWROcvr2u12iJvV/7ZFVdcMc4999zYe++9u70Glp4uKGmCjC4oaYKMLsjogpImyOiCkibI6IKMLihpgowuyOiCkibI6IKSJsjogowuKGmCjC7I6IKSJvqxJm6IANAv+R+TKWmCjC7I6IKSJvq+a6+9tm4XxLa2tmrDDTfs9nleeuml6u1vf3vdjoudz9mdS+fbf/GLX+yB95rF0QUlTZDRBSVNkNEFGV1Q0gQZXVDSBBldkNEFJU2Q0QUZXVDSBBldUNIEGV2Q0QUlTZDRBRldUNJE/9XW6k0UAAAAoLdcdtllEfHKLojV/98J8aMf/Wi3z/OBD3wgLrvssqiqKmq12iJ3Xex8X5n221dVFccff3x89rOf7fZ6WDq6oKQJMrqgpAkyuiCjC0qaIKMLSpogowsyuqCkCTK6IKMLSpogowtKmiCjCzK6oKQJMrogowtKmui/atWiPooAvexHP/pRr9/nmWeeGTfccEPHi0atVouzzz67S7fdYostYvPNN+/hFS7fNEFGF2R0QUkTZLbZZpu47bbb6h6jf//737HWWmt1+Rz/+7//G1/5ylcWOrRo/zJ7pZVWijXWWCNWWWWVqKoqnn322Xj88cdj5syZERHp7dvX9NOf/jT23XffJXgPWRK6oKQJMrqgpAkyuiCjC0qaIKMLSpogowsyuqCkCTK6IKMLSpogowtKmiCjCzK6oKQJMrogowtKmujHKoA+pFarVW1tbb1+qdVqdZeu3u6YY45p9YdsmacJMrogowtKmqA0e/bsavDgwXWP09Zbb92tczz44IMd52g/T+e3X/va11annHJKdc899yz0HPfcc0918sknV+PGjUsbqdVq1ate9arq2WefXdp3mS7QBSVNkNEFJU2Q0QUZXVDSBBldUNIEGV2Q0QUlTZDRBRldUNIEGV1Q0gQZXZDRBSVNkNEFGV1Q0kT/ZhMDoE9pfwJvf0Hpy5e2Nv/YsDdogowuyOiCkiYo3XzzzXVdtLW1VZ/97Ge7dY7Jkyd33LbzwGHEiBHVOeec0+01nX322dWIESMaztfW1lZ98Ytf7Pb56D5dUNIEGV1Q0gQZXZDRBSVNkNEFJU2Q0QUZXVDSBBldkNEFJU2Q0QUlTZDRBRldUNIEGV2Q0QUlTfRvNjEA+pTyxaC3Ltk/JFzcn29r848Ne4MmyOiCjC4oaYLSeeed1zDA+NnPftbl2z/zzDPVwIEDGx6/NdZYo5o6deoSr+vvf/97tfrqqzecd/To0dXcuXOX+Lx0jS4oaYKMLihpgowuyOiCkibI6IKSJsjogowuKGmCjC7I6IKSJsjogpImyOiCjC4oaYKMLsjogpIm+re2AOiDqlc2WYmqqlq9FPoITZDRBRldUNIE7R588MGGY5tttlmXb3/NNdfE/PnzO65XVRWDBg2Kyy+/PDbeeOMlXtcmm2wSl19+eQwcOLDu+PTp0+Oqq65a4vPSNbqgpAkyuqCkCTK6IKMLSpogowtKmiCjCzK6oKQJMrogowtKmiCjC0qaIKMLMrqgpAkyuiCjC0qa6N9sYgD0eZ3/4WFPXbp7n7SWJsjogowuKGli+TZjxoyGY6961au6fPsrr7yy4+2qqqJWq8XHP/7xmDBhwlKvbYsttohDDjmkoYmrr756qc/NoumCkibI6IKSJsjogowuKGmCjC4oaYKMLsjogpImyOiCjC4oaYKMLihpgowuyOiCkibI6IKMLihpon8buPg/AtD7arVax4vCxhtvHNtvv32P3df1118fDzzwQN19HnjggV267RZbbNFj66KeJsjogowuKGmCdi+88ELDsZEjR3b59nfddVfDsUMPPXRpllTnE5/4RJx88sl1x2677bamnZ+cLihpgowuKGmCjC7I6IKSJsjogpImyOiCjC4oaYKMLsjogpImyOiCkibI6IKMLihpgowuyOiCkib6N5sYAH1W+z/+u//+++P1r399nHTSSd16gemqyZMnxwMPPFB37Oyzz276/bD0NEFGF2R0QUkTRLzSQemFF16IESNGdOn2Tz/9dN05Nt5449hggw2atr4NNtggNtlkk7j//vs7mn3wwQebdn5yuqCkCTK6oKQJMrogowtKmiCjC0qaIKMLMrqgpAkyuiCjC0qaIKMLSpogowsyuqCkCTK6IKMLSpro39pavQCAzj7zmc/EgAEDOq63P3Gfc845MW7cuPjJT37SwtXRCpogowsyuqCkCUorrrhiw7Enn3yyy7efNm1aRERUVRW1Wi3WX3/9pq2t3QYbbBBVVXVcf/rpp5t+H9TTBSVNkNEFJU2Q0QUZXVDSBBldUNIEGV2Q0QUlTZDRBRldUNIEGV1Q0gQZXZDRBSVNkNEFGV1Q0kT/ZhMDoE854YQT4uabb47NN9+844m7/R8cPvnkk/Ff//Vf8ba3vS3+9a9/tXil9BZNkNEFGV1Q0gSl1VdfveHYI4880uXbz5o1q+76qquuutRrKo0aNaru+pw5c5p+H9TTBSVNkNEFJU2Q0QUZXVDSBBldUNIEGV2Q0QUlTZDRBRldUNIEGV1Q0gQZXZDRBSVNkNEFGV1Q0kT/ZhMDoM/Zcsst49Zbb43jjjsuBg8e3LHLTfs/Orziiiti/Pjx8a1vfSsWLFjQ6uXSCzRBRhdkdEFJE3S2ySabNBy74oorunz7lVdeue76jBkzlnpNpWeffbbu+gorrND0+6CeLihpgowuKGmCjC7I6IKSJsjogpImyOiCjC4oaYKMLsjogpImyOiCkibI6IKMLihpgowuyOiCkib6N5sYAH3SgAED4vOf/3z85S9/iR122KHhf09+8cUX48gjj4xtt902/vKXv7R4tfQGTZDRBRldUNIE7bbZZpuOt9sf/1//+tddvv2GG27YsRFGVVXx73//u+lr/Ne//hW1Wq3j+iqrrNL0+6CeLihpgowuKGmCjC7I6IKSJsjogpImyOiCjC4oaYKMLsjogpImyOiCkibI6IKMLihpgowuyOiCkib6N5sYAH3aa17zmrj++uvj5JNPjuHDhzf878m33357vO51r4sjjzwyZs2a1erl0gs0QUYXZHRBSROsscYaMW7cuLpjU6dOjcsvv7xLt584cWLd9XvvvTceeeSRpq3vkUceiXvuuScioqPPjTbaqGnnJ6cLSpogowtKmiCjCzK6oKQJMrqgpAkyuiCjC0qaIKMLMrqgpAkyuqCkCTK6IKMLSpogowsyuqCkif7NJgZAv/CJT3wi7r777njLW95S978nR0TMmzcvvvWtb8Wmm24aV1xxRSuXSS/SBBldkNEFJU0s3/bff/+6x72qqvjkJz8Zc+fOXext99xzz4ZjP/jBD5q2tjPPPLPh2NZbb92087NwuqCkCTK6oKQJMrogowtKmiCjC0qaIKMLMrqgpAkyuiCjC0qaIKMLSpogowsyuqCkCTK6IKMLSproxyqAfubss8+uVl111apWq1VtbW1VW1tbVavVOq4fcMAB1VNPPdXl802aNKnjtu2/0r9ogowuyOiCkiaWP4888kg1ePDguse7ra2t+sAHPlAtWLBgkbddsGBBtcEGG9TddtiwYdU///nPpV7XAw88UA0bNqxhXVdeeeVSn5vF0wUlTZDRBSVNkNEFGV1Q0gQZXVDSBBldkNEFJU2Q0QUZXVDSBBldUNIEGV2Q0QUlTZDRBRldUNJE/2UTA6BfevLJJ6t3v/vddf/gsPMT/aqrrlqdddZZXTqXf2y4bNAEGV2Q0QUlTSx/PvGJTzRsXNHW1lb913/9VzV//vxF3vacc85puO3GG29cPfnkk0u8nieeeKLaaKONGs47duzYxa6H5tEFJU2Q0QUlTZDRBRldUNIEGV1Q0gQZXZDRBSVNkNEFGV1Q0gQZXVDSBBldkNEFJU2Q0QUZXVDSRP9kEwOgX7vooouqNdZYo+HJvv36m970pur+++9f5Dn8Y8NliybI6IKMLihpYvnx9NNPV6uvvnrH49z58Xrd615X3XXXXYu8/Zvf/OaGTtZee+3q97//fbfXcsUVV1Rrr712OlA56aSTlvRdZAnogpImyOiCkibI6IKMLihpgowuKGmCjC7I6IKSJsjogowuKGmCjC4oaYKMLsjogpImyOiCjC4oaaJ/sokB0O/NmDGj7h8Mdn7ir9Vq1dChQ6v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| |
| "text/plain": [ | |
| "<Figure size 2500x1308 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "image/png": { | |
| "height": 1492, | |
| "width": 2072 | |
| } | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "plt.figure(figsize=(25,13.08)) # This is just to match the current figure size; it should probably be different\n", | |
| "mpl.rc(\"font\", size=22) # This is just my guess to match the current figure font size\n", | |
| "\n", | |
| "# I've just made these up; check the order\n", | |
| "sxs_ids = [\n", | |
| " f\"SXS:BBH:{sxs_id}\" for sxs_id in\n", | |
| " list(range(1412, 1416+1)) + list(range(2617, 2640+1))\n", | |
| "]\n", | |
| "\n", | |
| "# Copied by hand from the current plot; check the values\n", | |
| "q_values = [\n", | |
| " 1.5, 1.4, 1.6, 1.8, 1.8,\n", | |
| " 8.0, 8.0, 8.0, 8.0, 1.5, 1.8, 1.6,\n", | |
| " 1.9, 4.0, 1.2, 4.0, 1.5, 1.4, 1.8,\n", | |
| " 10.0, 6.0, 8.0, 4.0, 8.0, 8.0, 4.0,\n", | |
| " 8.0, 8.0, 4.0,\n", | |
| "]\n", | |
| "assert len(sxs_ids) == len(q_values)\n", | |
| "\n", | |
| "# Copied by hand from the current plot; check the values\n", | |
| "chi_p_values = [\n", | |
| " 0.0, 0.0, 0.0, 0.0, 0.0,\n", | |
| " 0.05, 0.05, 0.05, 0.08, 0.32, 0.33, 0.36,\n", | |
| " 0.4, 0.4, 0.43, 0.45, 0.46, 0.46, 0.49,\n", | |
| " 0.5, 0.5, 0.5, 0.56, 0.56, 0.57, 0.57,\n", | |
| " 0.57, 0.8, 0.8\n", | |
| "]\n", | |
| "assert len(sxs_ids) == len(chi_p_values)\n", | |
| "\n", | |
| "# I'm making up some random data here\n", | |
| "data1 = 10**(-7*np.random.random((3, len(sxs_ids)))).cumsum(axis=0)\n", | |
| "data2 = 10**(-7*np.random.random(data1.shape)).cumsum(axis=0)\n", | |
| "\n", | |
| "# Plot data\n", | |
| "bar_centers = np.arange(data1.shape[1]) + 0.0\n", | |
| "bar_width = 0.35\n", | |
| "for row in range(data1.shape[0]):\n", | |
| " plt.bar(bar_centers-bar_width/2, data1[row], bar_width)\n", | |
| " plt.bar(bar_centers+bar_width/2, data2[row], bar_width)\n", | |
| "plt.gca().set_yscale(\"log\")\n", | |
| "\n", | |
| "# Add a table at the bottom of the axes\n", | |
| "cell_text = [\n", | |
| " [str(q) for q in chi_p_values],\n", | |
| " [str(q) for q in q_values],\n", | |
| " #sxs_ids\n", | |
| "]\n", | |
| "row_labels = [r\"$\\chi_\\mathrm{p}$\", r\"$q$\", ]#\"SXS ID\"]\n", | |
| "the_table = plt.table(\n", | |
| " cellText=cell_text, rowLabels=row_labels, colLabels=sxs_ids, loc=\"bottom\",\n", | |
| " edges=\"horizontal\" # The `edges` argument controls which lines are drawn in the table\n", | |
| ")\n", | |
| "\n", | |
| "# Tweak the table\n", | |
| "for (y_index, x_index), table_entry in the_table.get_celld().items():\n", | |
| " # Rotate the text in each entry of the table by 90 degrees about its center\n", | |
| " table_entry.set_text_props(rotation=90.0, horizontalalignment=\"center\")\n", | |
| "\n", | |
| " # Adjust the height of each cell appropriately\n", | |
| " if y_index == 0: # This entry is a column label (SXS ID)\n", | |
| " table_entry.set_height(0.25) # May need to adjust this value to fit text\n", | |
| " else: # This entry is a row item\n", | |
| " table_entry.set_height(0.10) # May need to adjust this value to fit text\n", | |
| "\n", | |
| "# Adjust layout to make room for the table:\n", | |
| "#plt.subplots_adjust(bottom=0.2)\n", | |
| "\n", | |
| "plt.ylabel(r\"$\\mathcal{E}$\")\n", | |
| "plt.xticks([])\n", | |
| "\n", | |
| "plt.xlim(-0.5, data1.shape[1]-0.5)\n", | |
| "plt.ylim(1e-8, 1)\n", | |
| "\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "ee1854f5-1b76-4647-976b-43760d1a9deb", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.11.7" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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