examples/Boxplot Comparison of Per-Game CF and CA.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The objective here to generate four box-and-whisker graphs:\n",
"\n",
"- CF by team (by game) in 2016-17\n",
"- CF by team (by game) in 2017-18\n",
"- CA by team (by game) in 2016-17\n",
"- CA by team (by game) in 2017-18"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd\n",
"from pylab import *\n",
"%matplotlib inline\n",
"import seaborn as sns\n",
"import os.path\n",
"sns.set()\n",
"sns.reset_orig() # want to use matplotlib style, not seaborn style\n",
"\n",
"import scrapenhl2.scrape.team_info as team_info\n",
"import scrapenhl2.scrape.schedules as schedules\n",
"import scrapenhl2.scrape.teams as teams\n",
"import scrapenhl2.manipulate.manipulate as manip"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To aggregate data, loop over both seasons. In each season, loop over each team. Read in its season PBP, filter for Corsi events, group by game and acting team and sum. Then, go long to wide, so each row is a game.\n",
"\n",
"Aggregate over teams, add a flag for whether the team is the Caps--we need this for the graph below--and we're good to go."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Team2 Game CA CF Season Team IsWSH\n",
"0 20019 62 62 2017 NJD False\n",
"1 20046 79 50 2017 NJD False\n",
"2 20058 52 46 2017 NJD False\n",
"3 20065 64 47 2017 NJD False\n",
"4 20081 76 68 2017 NJD False\n"
]
}
],
"source": [
"dflst = {2016: [], 2017: []}\n",
"for season in dflst.keys():\n",
" for team in schedules.get_teams_in_season(season):\n",
" if not os.path.exists(teams.get_team_pbp_filename(season, team)):\n",
" continue\n",
" df = teams.get_team_pbp(season, team)\n",
" df = manip.filter_for_corsi(df)\n",
" df.loc[:, 'Team2'] = df.Team.apply(lambda x: 'CF' if x == team else 'CA')\n",
" df = df[['Team2', 'Game']] \\\n",
" .query(\"Game <= 21230\") \\\n",
" .assign(Count=1) \\\n",
" .groupby(['Team2', 'Game']) \\\n",
" .count() \\\n",
" .pivot_table(index='Game', columns='Team2', values='Count') \\\n",
" .reset_index() \\\n",
" .assign(Team=team_info.team_as_str(team), Season=season)\n",
" dflst[season].append(df)\n",
" df = pd.concat(dflst[season])\n",
" df.loc[:, 'IsWSH'] = df.Team.apply(lambda x: x == 'WSH')\n",
" dflst[season] = df\n",
"print(dflst[2017].head())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We want to order teams in each graph by the median. That means we'll be comaparing horizontal positions of the Caps' box-and-whisker--meaning we should arrange 2016-17 on top and 2017-18 on the bottom.\n",
"\n",
"To get all this to work I use a little trickery with modulus and integer division. But it's straightforward to brute-force this as well (it's only four axes)."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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+++qhhx7SU089lWPk5cZ6AYBiybrP1Xx33xo/vl/S/PjxAkn31kx3X/waAKDBtm7dqle+\n8pVasmSJjjnmGH3ve9/TkiVL9POf/1w7duzQI488otmzZ2vJkiXatGmTJOmmm27SSSedpK1bt2ru\n3Lnad999JUlz587Vc57znDwXpzRYLwBQfLnd0MLdXZInnc/MzjGzjWa2cdu2bU2IbGojIyNauXKl\nRkZGMv9uAGiEK6+8Uq997Ws1ODio2267TUuWLFFbW5te/OIX67//+791880364/+6I/08pe/XDfd\ndJO2bNkid9dzn/tcnXrqqbr33nv1ghe8QB/4wAf03e9+d7fPfuc736klS5ZoyZIlOu2003JawsbK\nqtxhvZQf5xBA+WWdXD1gZodKUvz/wfj1LZKeWzPdYfFre3D3Ve7e4e4d8+bNa2qwk+nv79emTZu0\nevXqzL8bABrhpS99qT7/+c/rggsu0KZNm3TAAQdIkk488UTddNNNuummm3TCCSfohBNOGH9+4okn\nSor6B91yyy1atWqV5s2bp7e+9a36whe+MP7ZV1xxhQYHBzU4OKi1a9fmsXgNl1W5w3opP84hgPLL\nOrlaI6krftwl6bqa199mZvua2ZGSjpL044xjm9bIyIjWrVsnd9e6deu48gSgkF75ylfqxhtv1IIF\nC/Tud797/ETvpJNO0k033aQf/vCHOuGEE7R48WL97Gc/2+0kXpJaW1v1qle9ShdeeKE+85nP6Ktf\n/Wpei1IqrJdy4xwCqIZm3or9y4puSPEHZnafmf25pEslLTWzzZI64+dy9zskXS3pZ5LWSfpLd9/Z\nrNjS6u/v165duyRJO3fu5MoTgEK65557NH/+fL33ve/Ve97zHt16662SpBNOOEE333yztm3bpkMO\nOURmpnnz5um6667TSSedJEm6++67tXnz5vHPGhwc1BFHHJHLcpQN66XcOIcAqqGZdwt8+17eOmUv\n018s6eJmxdMIGzZs0OjoqCRpdHRU69ev17nnnptzVACQzA033KBPfepT2meffbT//vuPn+QddNBB\nmjdvno4++ujxaU844QT94Ac/0HHHHSdJeuyxx9Td3a3f/va3amtr06JFi7Rq1apclqNsWC/lxjkE\nUA0W3VeimDo6Orx27I5mu+yyy7R27VqNjo6qra1Np59+OgdGAJm58847tXjx4rzDyNxky21mt7h7\nR9axTFbusF5QD84hgGKrt9zJ7W6BRdTV1aWWlugna21t1dlnn51zRAAAoAg4hwCqgeQqgfb2di1b\ntkxmpmXLlqm9vT3vkAAAQAFwDgFUA8lVQl1dXTr22GO54gTUIasxXRg7BkARcA6BKgu1rG50XCRX\nCbW3t+vyyy/nihNQh6zGdGHsGABFwDkEqizUsrrRcZFcAWiKrMZ0YewYAADCFmpZ3Yy4SK4ANEVW\nY7owdgwAAGELtaxuRlxNG+cKQLVlNaZLlceO+eBffVgPPvRwwz7vkLkH6zOXfWrKaVpbW3XssceO\nP//617+uhQsXTjrt8PCwXv/61+v2229vWIxFwHoBgN2FWlY3Iy6SKwBN0dnZuduYLkuXLi3094To\nwYce1i/mn9y4D3zgu9NOMnv2bA0ODjbuO0uI9QIAuwu1rG5GXDQLBNAUWY3pwtgx+RseHtYrXvEK\nHX/88Tr++ON100037THNHXfcoZe97GVasmSJXvSiF2nz5s2SpC996Uvjr7/vfe/Tzp07sw6/tFgv\nAEIRalndjLhIrgA0RVZjujB2TLZ27NihJUuWaMmSJXrDG94gSTrkkEO0fv163Xrrrbrqqqu0cuXK\nPeb73Oc+p56eHg0ODmrjxo067LDDdOedd+qqq67SD37wAw0ODqq1tVVXXHFF1otUCqwXACELtaxu\nRlyVbhY4MjKiCy+8UOeff34wKxkok66uLg0PDzf9CtWKFSt0/fXXa/ny5U39Hkze/Ozpp5/WBz/4\nwfET8Z///Od7zHfCCSfo4osv1n333ac3vvGNOuqoo3T99dfrlltu0Utf+lJJUYJwyCGHZLIcZVPm\n9UJZDZRDqGV1o89VKl1zFer99oGyyGpMlzVr1mj79u0aGBho6vdgcv/0T/+k+fPn67bbbtPGjRv1\n1FNP7THNO97xDq1Zs0azZ8/Waaedpm9/+9tyd3V1dWlwcFCDg4O6++67dcEFF2S/ACVVlvVCWQ2U\nQ6hldaPPVSqbXIV6v30AybAv5++RRx7RoYceqpaWFn3xi1+ctH/OL3/5Sz3vec/TypUrdcYZZ+in\nP/2pTjnlFF1zzTV68MEHJUkPP/yw7rnnnqzDL60yrBf2b6AcqrQvV7ZZ4GT3tQ/hlpAAkqnyvnzI\n3IPrupNcos9L4QMf+IDe9KY3afXq1Vq2bJn222+/Paa5+uqr9cUvflH77LOPnv3sZ+sTn/iEDj74\nYF100UU69dRTtWvXLu2zzz767Gc/qyOOOGKmi5Ir1kvjVHn/BsqkSvuyuXveMaTW0dHhGzduTDXv\naaedpu3bt48/nzNnjtauXduo0ABkpEr78p133qnFixfnHUbmJltuM7vF3TuyjmWycqeq6+X222/X\nqlWrmtoXqkr7N1BmZdiX6y13KtsssLOzU21tUcVdSPfbB5AM+zKQj8cff7zpfaHYv4FyqNK+XNnk\nKtT77QNIhn0ZyN7o6Kh27NjR9P4T7N9AOVRpX65schXq/fb7+vp01lln6ayzzlJPT4/6+vryDgkI\nWqj7MlBmDz300Pjjsf4TzcD+DZRDlfblyiZXUpRFH3vsscFlzzt27NCOHTvyDgMojFD3ZaCsHn30\nUY312R4dHdX69eub9l3s30A5VGVfruzdAqXf39c+JN3d3RoaGpIk9fb25hwNUAwh7stAmR1wwAEy\nM0nN7z/B/g2UQ1X25UrXXAEAgOTmzp07/rjs/ScAIIlK11wBQJF94q8/qEceeqBhn/fMufN1yT9+\nZq/vj4yM6JRTTpEk3X///WptbdW8efMkST/+8Y/1jGc8o2GxFFkV1ktbW5tmz55dif4TAJAEyRUw\nQyMjI7rwwgubOtZLM2QRd5rvKOrvmYdHHnpAH33+XQ37vE/+Yur329vbNTg4KEm64IILtP/+++tv\n/uZvdpvG3eXu43eFqqKqrJf99tuvEv0nGqnqx7cyLX+aZRkaGlJPT496e3u1aNGiJkeIvFS39AMa\npL+/v+ljvTRDFnGn+Y6i/p5VNjQ0pBe+8IV65zvfqaOPPlr33nuvnvWsZ42//5WvfEXvec97JEkP\nPPCA3vjGN6qjo0Mve9nLdPPNN+cVduk1e720trbq8ssvL/xJcpaqfnwr0/KnWZaLLrpIjz/+uC66\n6KImRoa8kVwBMzAyMqJ169Y1fayXRssi7jTfUdTfE9Jdd92lc889Vz/72c+0YMGCvU63cuVKfeQj\nH9HGjRt19dVXj5/cozlYL+Go+vGtTMufZlmGhoY0PDwsSRoeHh6/eRnKh+QKmIH+/n7t2rVLUnPH\nemm0LOJO8x1F/T0hPf/5z1dHR8e0023YsEF/8Rd/oSVLlujMM8/Ub37zG4aeaCLWSziqfnwr0/Kn\nWZaJtVXUXpUXyRUwAxs2bNDo6Kik5o/10khZxJ3mO4r6eyLqfzOmpaVlfAwkSXriiSfGH7u7fvzj\nH2twcFCDg4PasmWLZs+enWmsVcJ6CUfVj29lWv40yzJWa7W35ygPkitgBjo7O9XWFt0XptljvTRS\nFnGn+Y6i/p7YXUtLiw466CBt3rxZu3bt0rXXXjv+Xmdnpz772c+OPx+7EQOaj/WSr6of38q0/GmW\nZeHChVM+R3lwt0BgBrq6urRu3TpJxRrrJYu403xHUX/PvDxz7vxp7ySX9PMa5ZOf/KRe+9rX6pBD\nDtFLXvISPfnkk5Kkz372s3r/+9+vz3/+8xodHdWrX/3q3U7qy4D1gslU/fhWpuVPsyznnXfebn0Z\nzzvvvKbFh3yRXAEz0N7ermXLlmlgYKBQY71kEXea7yjq75mXqcY+arYLLrhg/PGiRYv2qOl461vf\nqre+9a17zDdv3jxdc801zQ4vV6wXTKbqx7cyLX+aZVm0aJEWLlyo4eFhLVy4kFuxlxjNAktiZGRE\nK1euDO7uO6HG1UhdXV2FHOsli7jTfEdRf8/JVGH7B1C/UI9vWR2rQl3+NFasWKE5c+Zo+fLldc/z\nwQ9+UC0tLeru7m5iZMhbLsmVmfWY2e1mdoeZfSh+7WAzW29mm+P/B+URW1GFOnZEqHE1Unt7eyHH\neski7jTfUdTfczJV2P4B1C/U41tWx6pQlz+NNWvWaPv27RoYGKh7nhtvvFHurhtvvLGJkSFvmSdX\nZnaMpPdKepmk4yS93swWSfqYpOvd/ShJ18fPUYdQx44INS4gC83a/mvv9lYFRVneosTZKFVb3jKj\nrE6OcRwxlTxqrhZL+pG7b3f3UUnflfRGSWdI6o+n6Zd0Zg6xFVKoY0eEGheQhWZs/7NmzdLIyEhl\nTmzdXSMjI5o1a1beoUyJ9YIio6xOjnEcw9TX16ezzjpLZ511lvr6+nKLI48bWtwu6WIza5e0Q9Jp\nkjZKmu/uW+Np7pc06e2RzOwcSedI0uGHH978aAtgsvEWzj333JyjCjeuMhoZGdGFF16o888/vxTN\nLcqgGdv/YYcdpvvuu0/btm1rRIiFMGvWLB122GG5xjBduVPV9bLffvtp5cqVlT3ulOW4W7ayOov1\nkuY3K9vvHKoQBj/PPLly9zvN7JOS/kvS45IGJe2cMI2b2aSXAN19laRVktTR0VGNy4TT6Ozs1Nq1\nazU6OhrU2BGhxlVGte3lOViHoRnb/z777KMjjzyyAdEhienKnaqul8suu6zSx52yHHfLVlZnsV7S\n/GZl+51D1N3draGhofHHecnlhhbu/m/u/hJ3f6Wk30j6uaQHzOxQSYr/P5hHbEXU1dWllpZoVYY0\ndkSocZUN7bjDxPaPMqv6cadMy1+mY1VW6yXNb1am3xlTy+tugYfE/w9X1N/qSklrJHXFk3RJuq6Z\nMYTSLrMRxsZbMLOgxo5IE1fteunp6Sn8uskC7bjDFOp+CTRC1Y87ZVr+Mh2rslovaX6zMv3OmFpe\n41x91cx+JmlA0l+6+28lXSppqZltltQZP2+qHTt2JG6bGeq4NaGOHZEmrjTrpcoma8ddj1C35TRC\nXZZQ90tgptIed8qibMtflmNVluul6uM4Yu/yahb4Cnd/obsf5+7Xx6+NuPsp7n6Uu3e6+8PNjKG7\nu1uLFi3SokWLErXLDHXcmlDHjkgaV+166e3tZaC9OnR2dqqtLeo+maQdd6jbchqhLkuo+yUwU2mP\nO2VRtuUvy7Eqy/VS9XEcsXd51VwVUpnaWKM80rTjLtO2XKZlAYqi6v1Hqr78oWK9IAQkVwmUqY01\nyiNNO+4ybctlWhagKKref6Tqyx8q1kt5ZNUHvxn3YCC5SqBsbazRGCH090najrtM23KZlgUokqz6\nj4RwjJ0M/WfCVPXtskyy6oPf6O8huUqgs7NTZiZJMrPCt7FGY4TQ3ydpO+4y9Rco07IARZJV/5EQ\njrGTof9MmKq+XZZFVn3w096DYSokVwmsWLFC7tH4ke6u5cuX5xwR8lbU/j5lapdepmUBsLuiHmNR\nbmyXmEopkqusxqxas2bNbjVXAwMDTfsuFENR+/uUqV16mZYFwO6KeoxFuWWxXZZp3M++vj719PSU\nZnzZ6ZQiuZKyaZe5YcOG3Wquit63g/bCMzddf5+Qf+My9Rco07IAE4V8HGk2+lQiRFltl2Ub97Ns\ny7M3pUiumtFecjJl69tBe+GZm26bCPk3LlN/gTItCzBRyMeRZitbuYtyyGK7LNO4n93d3ert7c3k\nXD0EpUiuslKmvh20F26MqbYJfmMAM1X140iZyl2UB9slpkJylUDSvh0htzFN2l445GXJ01TbBH0F\nAMxU1Y8j9KkMU1Z93bOQZlnKtF2WaV2GguQqoTR9O0JsY5q2vXCIy5LW0NCQTj/9dA0NDc3oc/a2\nTdBXAMBMpTmOlK2PFn0qw1Sm84E0y1Km7bJM6zIEJFcJJenbEXIb06TthUNelrQuuugiPf7447ro\nootm9Dl72yboKwBgptIcR8rWR4s+leHJqq97FtIuS1m2yzKty1CQXFVU1dsLDw0NaXh4WJI0PDw8\n49qryVSJawsMAAAgAElEQVT9NwYwc0mPI1XvowUAeSO5qqgytRdOY2Jt1UxrryZT9d8YwMwlPY5U\nvY9WVuinAmBvSK4qbMWKFZozZ46WL1+edyiZG6u12tvzRilTm+yyCbVfSlZxhbr82FOS4wh9PdNJ\nsz+UqZ8KxwOgcUiuKmzNmjXavn27BgYG8g4lcwsXLpzyeaOUpU12GYXaLyWruEJdfuwpyXGEvp7p\nJN0fytZPheMB0DgkVxVV9Xb555133pTPUW6hbv9ZxRXq8mPm6OuZXNX3h6ovP9BoJFcVVfV2+YsW\nLRqvrVq4cKEWLVqUb0AzQNv/5ELd/rOKK9Tlx8zR1zO5Mu0PteVBT09PXWVCmZYfCAHJVUXRLj+q\nrdpvv/2Cq7VKM/5Wmdr+ZyHU7T+ruEJdfjRG1ft6Ju0/VLb9IWl5ULblB/JGclVRtMuPaq+++c1v\nBldrlXT8rbK1/c9CqNt/VnGFuvxojKr39Uzaf6izs1NmJkkys0LvD7XlQW9vb11lAscDoLFIriqK\ndvlhymL8LYS7/WcVV6jLD8xUmv5DK1askLtLkty9cnfQ5XgANBbJVZ36+vrU09NTmr4tWbTLT9P2\nu+qyGH+rbNL0OQu1X0pWcYW6/CiOUPt6puk/tGbNmt1qrqp2B12OB8mFuv2HGlfVkFwlVKa+LVm0\nyw/59wpxXI+sxt8qmzTbWaj9UrKKK9TlR3GEeHxP039ow4YNu9VcVbHPEceD5ELc/qVw46qStrwD\nKIqxdss9PT27PS+ysXb5zdLd3T3erK23t7dp35NWbbv8c889N+9wJEV3LqxNqJo1/laZ1G5nSfbL\nZm//aWUVV6jLj2JIu981W2dnp9auXavR0dG6+w+lmadsOB4kE+r2H2pcVUPNFSop1HE9GH8LANJL\n03+IPkcAGomaKxReX1+fvvvd70qSTj755Lqu1kzWLj9N7VWa757K2Phbw8PDhR9/CwCyNtZ/aGBg\noO7+Q1deeeV4n6sFCxbQ5wgN19fXp6GhIW3ZskVSY84X8tToc5+yoeYKpZDnuB6Nbt8c6vhbaYTY\nr20myrY8QBml6T/U0tKilpYWLV68uImRcQypujL1hyrTsjQayRUKL804T40a16MZY0yFOv5WGknH\nmwld2ZYHKKOk43x1d3frBS94gY499lh9+MMfbmpsHEOqqbu7W729vaUZk5LxNadGcoVKoo1984Xa\nry2tsi0PgGxxDAGqgeSqoqo+FkKo43qEul7SjPOWZryZkJVteQBki2MIUA0kVxVW9fayoY7rkdV6\nSdP2P0lsjezXFoKyLQ+AbHEMAaohl+TKzM41szvM7HYz+7KZzTKzg81svZltjv8flEdsVUF72eTt\n8rOQ5XpJ0vY/TXvxRvVrC0VnZ+f4HcXMrPDLAyBbZTsmAphc5smVmS2QtFJSh7sfI6lV0tskfUzS\n9e5+lKTr4+cAmiCLtv9l69e2YsUKubskyd21fPnynCMCUCRlOyYCmFxezQLbJM02szZJcyT9j6Qz\nJPXH7/dLOjOn2Aon1H46CFcWbf/T9GsLeVtes2bNbjVXAwMDOUcE7Kl2H+rp6Um9HzXqc/B7ofb1\nBdBYmSdX7r5F0v+R9GtJWyU94u7/JWm+u2+NJ7tf0vzJ5jezc8xso5lt3LZtWyYxF0HV+08hmaza\n/qfp1xbqtrxhw4bdaq7oL1EdRSt3GrUPhbovFlmofX0BNE5b1l8Y96U6Q9KRkn4r6T/M7E9qp3F3\nNzOfbH53XyVplSR1dHRMOk3VdHd3a2hoaPwxMJ3Ozk6tXbtWo6OjTW37P9avrV4hb8tZ/WYIT5HK\nndp9qLe3N/fPwe6SHhMBFE8ezQI7Jf3K3be5+9OSvibpREkPmNmhkhT/fzCH2IBKoO1/cvxmAABg\nOnkkV7+W9HIzm2NRB4ZTJN0paY2krniaLknX5RAbUAlXXnnleP+hBQsW0Pa/DvSXAAAA08mjz9WP\nJF0j6VZJm+IYVkm6VNJSM9usqHbr0qxjAxotzVhSWWlpaVFLS4sWL16cdyiFQX8JAAAwlcz7XEmS\nu58v6fwJLz+pqBYLKI3asaTOPffcvMMZV9uf4sMf/nDO0RQH/SUAAMBU8roVO1B6WYwlBQAAgHDk\nUnMFVMFkY0mFVHuFaurr69PQ0JC2bNkiSTr55JODuzMjAKTR19en7373u5I4tiE/1FwBTZLVWFJI\nJ+T+cEmlWRbGMAJQRhzbkDeSK6BJOjs71dYWVQ4zLlJ4avvDFV2SZenu7lZvb68WLVqkRYsWcWUX\nQGl0d3dzbEPuSK6AJmFcpHCVqT9cmZYFAICio88V0CRj4yINDAwwLlJgsugPV9v2f8GCBXVdSU3T\nXyDUvn1plh/A77EPAcVEzRXQRIyLFKas+sOlafufdJ6Q+/bR9wHYXdL+kexDQPFQcwU0EeMihamz\ns1Nr167V6Oho0/rD1Y4l1tvbm3ieeq9QZ7EsaaRZfqDskox9yD4EFBM1VwAqp0z94cq0LECZ0T8S\nqAZqroAmob18uMrUH65My8IYNahVtjHZQu0fCaCxqLkCmoj28uEqU3+4FStWaM6cOVq+fHnTviOr\nccHYZzBRWbaJkPtHAmgckiugSWrH2+jt7S30FdcyGusPV+SanjFr1qzR9u3bNTAw0LTvyGJcMMao\nQa2yjcnG2IdANZBcAUCBZdGPg74iwMzRPxKoBvpcoZLo24EkQu77kUU/DvqK5CPk7Q7Jlal/ZFJp\ntmX6LaOoqLlCZZWlHT+yE+I2k0U/DvqK5CvE7Q7plKmvZxpJt2W2fRQRNVeopDTjCaG6xraRnp6e\n3Z6HIItxrjo7OzUwMCB3l5nRVyQjIW93SKeqYx+m2ZYZ5wtFRc0VABRYFv04VqxYIXeXJLl7U+9K\nCABAkVFzBQAFduWVV8rMJEX9EprRj2PNmjUys/Gaq4GBgcr3uaLfZphC7acTcv85tmWgsai5AoCC\na2lpUUtLixYvXtyUz9+wYcNuNVf0uYrQHyRMIa+XUGMLNS6giKi5AoACq+2X8OEPf7gp35FFv66i\nod9mmELtpxNy/zm2ZaCxqLkCAEyJ8XkAAKgPNVcAmiLUvg9IrrZf1/77768rr7ySdZkCfVsAoPxI\nrgA0DW34y2OsX9f8+fPzDqXQ2CcAoNxIrgA0Rah9H5Ac67Ix6NsCAOVHnysAAAAAaABqrgBUDn1f\nAABAM5BcAagk+r4AAIBGI7kCUDn0fQEAAM1AcgUAAACgMvr6+sYvso797+npaciwMSRXAAAAACpj\naGhIg7ffqZ1zDlbLUy5JGrz9zoZ8NskVAAAAgErZOedg7fjD08afz75rbUM+N/NbsZvZH5jZYM3f\n78zsQ2Z2sJmtN7PN8f+Dso4NAAAAANLKPLly97vdfYm7L5H0EknbJV0r6WOSrnf3oyRdHz8HAAAA\ngELIexDhUyT9wt3vkXSGpP749X5JZ+YWFQAAAAAklHefq7dJ+nL8eL67b40f3y9pfj4h5WfsziW1\ndy2R1JA7lwAAkJex8m3Lli2SGLwbQHnlllyZ2TMkrZD08Ynvububme9lvnMknSNJhx9+eFNjzNrY\nnUu8JVott/zyAbVufzjnqACg2spc7mSNwbsBlF2eNVevk3Sruz8QP3/AzA51961mdqikByebyd1X\nSVolSR0dHZMmYEXWrDuXAADSKXu5k4WxWqqxFhnUWgHV0MzxpEKVZ3L1dv2+SaAkrZHUJenS+P91\n9XwITekAAACA8DRzPKlQ5ZJcmdl+kpZKel/Ny5dKutrM/lzSPZLeUs9n0ZQOAAAACFPSVllpKk5C\nqmzJJbly98cltU94bUTR3QMToykdAAAAUHxpKk5CqmzJ+26BAAAAADAuTcVJKJUteY9zBQAAAACl\nULmaqyretQQAAAAYw/lw81QuuariXUuKIqTOiAAAAGXF+XDzVC65ksJpk4ndhdQZEQAAoMw4H26O\nSiZXCBc7OgAAAIqK5KoOadql0pYVAAAAqBaSqzqkaZdKW1YAAACgWkiu6lTk++0DAAAAaD7GuQIA\nAACABqDmCtMKuf8Yt28HAABAKEiuMK2Q+49x+3YAAFAmoV44Dvlie0hIrlCXkPuPhRwbAABAEqFe\nOA75YntISK4AAACAgIR64TjUuEJCclUxVOkCAACUS6hNCauI5Krgku5MWVXpspMDAICqy+qidqhN\nCauI5Krg0uxMWVTpspMDAIAySZMoZdlPiSZ7YSC5KoFQd6ZQ4wIAAMlVvWtB2kSJ86FqIbkCUgil\ngKH5JQBkJ5Rjf17SJBch/2ZpylASJUyH5ApIYWhoSJvv+IkO33+nnvF0iyRp8x0/ySUOml8CQDa4\nFXXy5CLk34wyFM1AcgWkdPj+O/WJ4383/vySWw/MJQ6uogFAdjjmJhfybxZybCgmkisAAICCo5k4\nEAaSKwBB4MQAQNbKdNxJ08Qt1OVPE1eoy4IwbdmyRa3bH9mtprJ1+4i2bBmd8WeTXAEIAm3fgXIK\n+YYGZTvupO0PFdryp4kr1GVB9ZBcAQgGbd+B8gn5hgYSx51Qlz9NXKEuC8KzYMEC3f9k2x7by4IF\n82f82SRXqJSQr6ACQFlx0gugKgqfXDWzzSTKJ+QrqKG2Fw81IQ01LincdQkURcj7dxY4hgDFVfjk\nCkgq1CuoWbQXT3PCEmpCGmpcEm3/gZkKef/OAscQoLgKn1wlbTNJTRdC1uzEL+0JS6gJaahxSWHH\nBhRB1fehqi8/UFSFT64AJEOBDQAA0ByVS66aeXcQYAzt5VFlbP/5aNTvPtXnSAq2LxTbHVBdIbVM\nq1xyBWSB9vKoMrb/fDTqdx8aGtLmO36ifVuipsNP3rNRv36sdfz9UPtCsd0BCEEuyZWZPUvSv0o6\nRpJL+jNJd0u6StJCScOS3uLuv8kjPqARqtz8jivIqPL2n6dG/e6H779Tnzj+d+PPL7n1wIZ/RzOE\nHBuA5gmpZVpeNVe9kta5+1lm9gxJcyR9QtL17n6pmX1M0sckfTSn+ADMQJmuIFf9ltAAAKB+mSdX\nZvZMSa+U9G5JcvenJD1lZmdIelU8Wb+kGxRIcpWmHWdW8wChCvEKcpluRZ8GiWJxsK7Kg3WJKqvi\n+fCUyZWZtbl7o5fkSEnbJH3ezI6TdIukHknz3X1rPM39kiatxzOzcySdI0mHH354g0MDUGZluxV9\nUmVKFJvFzJ4r6W3u/qma1zIvd1hX5cG6BKplupqrH0s6XpLMrM/dG3GJpS3+zG53/5GZ9SpqAjjO\n3d3MfLKZ3X2VpFWS1NHRMek0jZamHWdW8wBIpiyJUlpVX/7JmNk8SW+W9HZJz5F0be37eZQ7Euuq\nTFiXqKoqng+3TPO+1Tw+qUHfeZ+k+9z9R/HzaxQlWw+Y2aGSFP9/sEHfBwDAbszsADPrMrP/VHQh\n8fmSjnT357v73+QcHgCgoKaruWr4FTp3v9/M7jWzP3D3uyWdIuln8V+XpEvj/9c1+rvLKGm71Cq2\nfQWKgDssZu5BRUnVeZK+H7eYeEPOMQFAsDgfrM90ydUfmtlPFdVgPT9+PM7dX5Tye7slXRHfKfCX\nkv5UUS3a1Wb255LukfSWlJ8NAIVTpjssFsTHJb1N0j9L+rKZXVXvjCTCAIC9mS65Ok7RjSXunfD6\ncxXddCIVdx+U1DHJW6ek/cyqStoutYptX4GioF9Gdtz905I+bWbPU5RkfV3Sc8zsI5K+7u4/39u8\nJMIAii5NLRTng/WZrs/VP0l6xN3vqf2T9Ej8HgAAhWNmi8zsJHf/pbtf4u7HSnqppGWSpr2V2845\nB+vxJW/T40veph1/eJp2zjm46TEDAMI3Xc3VfHffNPFFd99kZgubEhFKgbHBgOZi7JwZ+7SipoHj\n4rLtQ5IuySckAEgn6fkQtVDNM11y9awp3pvdyEAAAPVj7JwZ29vFw5+a2RF5BAQAKL7pkquNZvZe\nd/+X2hfN7D2KBv8FJsXYYEDz0UdrRrh4CKA0OB8Kx3TJ1YckXWtm79Tvk6kOSc+QxC1rAaDkSnxn\nvMwuHtKEEwCqY8rkyt0fkHSimb1a0jHxy9909283PTKgCRrVR2vLli16/NFWXXLrgeOv3fNoq/bb\nsqVhsQIhyOrOeDkkcZldPKQJJ1AO9Ccvl9btD2v2XWvV8sTvJEm2a1TRTdJnZrqaK0mSu39H0ndm\n/G0AgMLJovlh1rc3z/riIU04ASAcixYtGn88NPRo/Nri3V5Pq67kCiiLRrVJXrBggZ4c3apPHP+7\n8dcuufVA7btggSSuOgFp5JGAcPEQqK4s7rBHf/Iw1baIGGsp0dvb25DPnm6cKwAAAABAHai5Apog\nzVUn2mUDAEIWcp+jNPNQQ4RmoOYKAAAAABqAmisgEFm0y6amCwAwpkx9jqiFQiiouQIAAACABqDm\nqk7Nuhc+kKWQ+4JRqwZgTKjHnVDjSjsPtT1A45Fc1aGZ98IHAAAAUA4kV3Vo5r3wgdCF2l6emi6g\nvEI97oQaV9p5ADQefa4AAAAAoAFKUXPVuv1h7Tf4FUnSrlkHqnX7w6I/FFBuIfcfA/B77EMAqqTw\nydVYv6ehoaHo+fPmS5pPfygAAAAAmSp8cjXWH4q+UACmQz8GYGa4Ix2ApKp2x+3CJ1cAAAAAwlPF\nO25XMrmqWgYNIFv07UKRbdmyRY8/2qpLbj1w/LV7Hm3Vflu2UAsFIJG0d9wu8v0UKpdcVTGDnojk\nEgAAACEq+v0UKpdcZTlmVYhJDMkl0Hz07UIeGlX7uWDBAj05ulWfOP53469dcuuB2nfBgobFCgB7\nU/T7KVQuucpKqEkMAyIDAACgbEJpSkhy1SRla2MaYi0cABRBVn3wqP0Emo/zoTCF1JSQ5CogIW0Y\ntUKthQMAAMhK2c6HypQohtSUkOQqICFtGLVoSggA6dEHDyiHMp0PlS1RDAnJFQAAAFAhZUoUQ0Ny\nVQKh9tNKI82yJJ2nTNXgqK6s+vEwZhdQbmU6h0DzcQ41PZKrggu1n1YaaZYl6TxUgwMAECnTOQSa\nj3Oo+uSSXJnZsKRHJe2UNOruHWZ2sKSrJC2UNCzpLe7+mzziK5JQ+2mlkWZZks5DNTjKIqt+PPQX\n2hM1cyiLrM4hqO0oB86h6pNnzdWr3f2hmucfk3S9u19qZh+Ln380n9CA6f36sVZdcuuBemB7iyTp\nyV2mo3KOqR4UcgCArFDbgaoJqVngGZJeFT/ul3SDSK4KrcztuGsLhafi5hRHLVq02+shLj+FHMkl\nZq7sNXOhyGpfzeJYXeXjDrUd2QnxvKOK8kquXNIGM9sp6f+5+ypJ8919a/z+/drL1mBm50g6R5IO\nP/zwLGJFCmVvxz1dYRHq8le9kCO5RBqUO9nLal/N4ljNcScdEoVkQj3vqKK8kqs/dvctZnaIpPVm\ndlftm+7uZuaTzRgnYqskqaOjY9JpkL8y9QVLo+rLH6qqJ5dIh3Ine1ntq1kcqznuJEeikBznHeHI\nJbly9y3x/wfN7FpJL5P0gJkd6u5bzexQSQ/mERuQJ67UAQCqjkQBRZZ5cmVm+0lqcfdH48enSvo7\nSWskdUm6NP5/XdaxAXlKe6Uu1IQs1LgQJu7Ah0ag/xSAvOVRczVf0rVmNvb9V7r7OjP7b0lXm9mf\nS7pH0ltyiA3ITZordaE2nQg1rrQ4mQLCR/8pACHIPLly919KOm6S10cknZJ1PECRhdp0Im1cIdZ2\ncTKVDe7Ah5mi/xSAEIR0K3YAFRZqbRcnUwAAoF4kVwCCEGotHFBFv36sVT3ff5Ykaf6cXfr1Y60z\nGiSdprXIQoitHyS2/6ohuQIAAOMm1iLve8QiHRW/PvZams+LPpOmtUUXaqIQausHtv/qIbkCAADj\npqpFHnstzeft7TNRHCEnCqG2fmD7rx6SKwAAAEyLRAGYHskVADRBmrb/SecJtXkOGoP1W22h9h9C\nNlj/xUVyBQANlqbtf9J5smyeQyGfvZCbX6H5yjaoPJIJtf8Y6kNyBQANlqbtf9J5smqeQyGfD5pf\nVVuZBpVHcqH2H0N9SK4AFBbNppqPQr5YqLmoLvZVIAwkVwCmFWISQ7OpsHGSnz1qLoDkOFah0Uiu\nAEwp1CSGZlPh4iQ/H9RcAMlwrEIzkFwBmBJJDJLiJB9AEXCsQjO05B0AAAAAAJQBNVcAAKBuIfbB\nBIBQkFwBQIVwYoyZCLUPJgCEguQKACqCE2PMFH0wAWBqJFcAUBGcGDcOt28GAEyG5AoAgATS3L6Z\n5pgAUA0kVwAAJJD09s00xwSA6iC5AgCgiWiOCQDVwThXAAAAANAAJFcAAAAA0AAkVwAAAADQACRX\nAAAAANAAJFcAAAAA0AAkVwAAAADQACRXAAAAANAAJFcAAAAA0AAkVwAAAADQACRXAAAAANAAbXkH\nAACAJLVuf1j7DX5FkrRr1oFq3f6wpPn5BgUAQAK5JVdm1ippo6Qt7v56MztY0lWSFkoalvQWd/9N\nXvEBALKzaNEiSdLQ0FD0/HnzJc0ffx0AgCLIs+aqR9Kdkg6Mn39M0vXufqmZfSx+/tG8ggMAZKe7\nu1uS1NPTI0nq7e3NMxwAAFLJpc+VmR0m6XRJ/1rz8hmS+uPH/ZLOzDouAAAAAEgrrxtafFrSRyTt\nqnltvrtvjR/frxI0tO/r61NPT4+GhoY0NDSkvr6+vEMCAAAY19fXx3kKKqsZ23/myZWZvV7Sg+5+\ny96mcXeX5HuZ/xwz22hmG7dt29asMBtq9uzZmj17dt5hAABSKGK5AyTBeQqqrNHbfx59rk6StMLM\nTpM0S9KBZvYlSQ+Y2aHuvtXMDpX04GQzu/sqSaskqaOjY9IELBRjfQgAAMVVpHIHSKq7u5vzFVRW\nM7b/zGuu3P3j7n6Yuy+U9DZJ33b3P5G0RlJXPFmXpOuyjg0AAAAA0gppEOFLJS01s82SOuPnQFPQ\nxhwAkBX6YJcL5xCYSq6DCLv7DZJuiB+PSDolz3hQLbQvBwBkiXKnPFiX2JtckysgL7QxBwBkhfKm\nXDiHwFRCahYIAAAAAIVV2eQqaXtZ2ksnV/sb9/T01P07J50H5ZFVO3baywMAgGaodLPANO1laWOb\nDL8xkspq/bOdAQCARqtscpW0vSxta5NL0yaZdszVltX6ZzsDAADNUNlmgQAAAADQSCRXFUWfEyQR\ncp9DtmUAyBbH3WRCLkNDVeQ++JVtFgj6nCC5ULeZUOMCgLLiuJscv1kyRf29SK4qij4nSCLkbYVt\nGQCyxXE3GX6r5Iq8jdEsEAAAAAAagOSqBGj7XG2sfwBjsuqnwHEHzVbkPjfIRyjHJZKrhEZGRrRy\n5UqNjIzkHcpuZs+eXdi2qZg51j+AMVkdDzjuoNnYxpBUCNsMfa4S6u/v16ZNm7R69Wqde+65eYcj\nqdjtUjFzrH8AYxgrDmXBNoakQtlmqLlKYGRkROvWrZO7a926dcHVXgEAAADID8lVAv39/dq1a5ck\naefOnVq9enXOEWWHMRomN1X73jTtxbNqL5zF91S9vXyZlr9My4LiqHq5M9MyJKR9Nat1GUqfG+yu\navsyzQIT2LBhg0ZHRyVJo6OjWr9+fTBNA7OSdzvWEE31m6T5vbL6jbPqk1FlZVr+Mi0LiqXK217I\nZUgalDvVVpV1Q3KVQGdnp9auXavR0VG1tbVp6dKleYeUmRDasIZoqva9adr+lqm/RChtn/NSpuUv\n07KgOKq+zYVchiSVVUyhLn/VVW2d0Cwwga6uLrW0RD9Za2urzj777JwjAgAAABAKkqsE2tvbtWzZ\nMpmZli1bpvb29rxDAlBxofYxCLXvB+pTpfUX6j6EaqvSPlg2NAtMqKurS8PDw9RaAQhGqO3YQ40L\n9anS+qvSsqI42C6LieQqofb2dl1++eV5hwEAksLtYxBqXKhPldZflZYVxcF2WVw0CwQAAACABiC5\nAoBplGmMjjItCwAge/RTnBrJVUIjIyNauXKlRkZG8g4FQMZmz55dmjbwZVoWAEC2KEP2jj5XCfX3\n92vTpk1avXp15QYQBqqqTO3ey7QsAIDs0R9satRcJTAyMqJ169bJ3bVu3TpqrwAAAACMK0VylVXb\nz/7+fu3atUuStHPnTq1evbpp34X60fYXAMJGXz8gTJxDNV4pkispm7afGzZs0OjoqCRpdHRU69ev\nb+r3oX60/QWA8HGsBsLDftlYpehzlVXbz87OTq1du1ajo6Nqa2vT0qVLm/6dmB5tfwEgbByjgTBx\nDtV4pam5ykJXV5daWqKfrLW1VWeffXbOEQEAAAAIBclVAu3t7Vq2bJnMTMuWLVN7e3veIQEoEdq+\nFwfrKky166Wnp4d1AyBzJFcJdXV16dhjj6XWCkBTpGn7nsX4e4zxtyf6KYRp33331ZNPPqmnn346\n71AAVFDmfa7MbJakGyXtG3//Ne5+vpkdLOkqSQslDUt6i7v/Juv4ptPe3q7LL7887zAAlFDatu9Z\njL/HGH+7o59CmLq7u/X0009rYGBARx11FOsIQObyqLl6UtJr3P04SUskLTOzl0v6mKTr3f0oSdfH\nzwEAU8hi/D3G+ENRsK0CyFvmyZVHHouf7hP/uaQzJPXHr/dLOjPr2EJAe3EASWQx/l5WY/yVvR9T\n2ZcvBIxHiaTKtF+WaVmKLJc+V2bWamaDkh6UtN7dfyRpvrtvjSe5X9L8vcx7jpltNLON27Ztyyji\nbNGOv1iK2helqHFjd1mMv5flGH8hHv8aWe6EuHxlwniU6VS9PCjTflmmZSmqXMa5cvedkpaY2bMk\nXWtmx0x4383M9zLvKkmrJKmjo2PSaYqMdvzFU9S+KEWNG7vLYvy9zs5ODQwMyN1lZk0b4y/U41+j\nyp1Ql69MGI8ynSqXB2XaL8u0LEWW690C3f23kr4jaZmkB8zsUEmK/z+YZ2xAPYravr+ocWNPWYy/\nt2LFCrlHOYW7a/ny5Q3/DqARGI8yOcoDoLEyT67MbF5cYyUzmy1pqaS7JK2R1BVP1iXpuqxjA5Iq\nauGcjacAACAASURBVPv+osaNPWUx/t6aNWtkZpIkM9PAwEDDvwN76uvrU09PD30oEshqPMoy9W2h\nPAAaK4+aq0MlfcfMfirpvxX1ufqGpEslLTWzzZI64+dA0Iravr+ocWNyzR5/b8OGDbvVXLG9ZIs+\nFMlkNR5lWdYL5QHQWJn3uXL3n0p68SSvj0g6Jet4gJkoavv+osaNyTV7/D22l3zQdyKdLMajLFPf\nFvZvoLFy7XMFFF1R2/cXNW7kg+0FKC/2b6CxSK6AGciqfX+jFTVu5IPtBSgv9m+gsUiugBnKqn1/\noxU17jxVeSwYthdg5kI9hrB/A41jY52Ui6ijo8M3btyYdxgAKuKyyy7TwMCAVqxYUbmxYEJjZre4\ne0fW30u5g5ngGAIUV73lDjVXAFAHxoIBMBMcQ4BqILkCgDowFgyAmeAYAlQDyRUA1IGxYADMBMcQ\noBpIrgCgDp2dnWpri4YGZCwYAElxDAGqgeQKAOrAWDAAZoJjCFANJFcAUAfGggEwExxDgGpoyzsA\nACiKrq4uDQ8Pc8UZQCocQ4DyI7kCgDq1t7fr8ssvzzsMAAXFMQQoP5oFAgAAAEADkFwBAAAAQAOQ\nXAEAAABAA5BcAQAAAEADkFwBAAAAQAOQXAEAAABAA5BcAQAAAEADkFwBAAAAQAOQXAEAAABAA5Bc\nAQAAAEADkFwBAKY1MjKilStXamRkJO9QgMpgvwOKh+QKADCt/v5+bdq0SatXr847FKAy2O+A4iG5\nAgBMaWRkROvWrZO7a926dVxFBzLAfgcUE8kVAGBK/f392rVrlyRp586dXEUHMsB+BxQTyRUAYEob\nNmzQ6OioJGl0dFTr16/POSKg/NjvgGIiuQIATKmzs1NtbW2SpLa2Ni1dujTniIDyY78DionkCgAw\npa6uLrW0RMVFa2urzj777JwjAsqP/Q4oJpIrAMCU2tvbtWzZMpmZli1bpvb29rxDAkqP/Q4opra8\nAwAAhK+rq0vDw8NcPQcyxH4HFE/mNVdm9lwz+46Z/czM7jCznvj1g81svZltjv8flHVsAIDJtbe3\n6/LLL+fqOZAh9jugePJoFjgq6a/d/YWSXi7pL83shZI+Jul6dz9K0vXxcwAAAAAohMyTK3ff6u63\nxo8flXSnpAWSzpDUH0/WL+nMrGMDAAAAgLRyvaGFmS2U9GJJP5I03923xm/dL2n+XuY5x8w2mtnG\nbdu2ZRIngLCNjIxo5cqVGhkZyTsUlBDlTrFwPACQp9ySKzPbX9JXJX3I3X9X+567uySfbD53X+Xu\nHe7eMW/evAwiBRC6/v5+bdq0SatXr847FJQQ5U6xcDwAkKdckisz20dRYnWFu38tfvkBMzs0fv9Q\nSQ/mERuAYhkZGdG6devk7lq3bh1Xq4EK43gAIG953C3QJP2bpDvd/bKat9ZI6oofd0m6LuvYABRP\nf3+/du3aJUnauXMnV6uBCuN4ACBvedRcnSTpXZJeY2aD8d9pki6VtNTMNkvqjJ8DwJQ2bNig0dFR\nSdLo6KjWr1+fc0QA8sLxAEDe8rhb4Pfd3dz9Re6+JP5b6+4j7n6Kux/l7p3u/nDWsQEons7OTrW1\nReOht7W1aenSpTlHBCAvHA8A5C3XuwUCwEx1dXWppSU6lLW2turss8/OOSIAeeF4ACBvJFcACq29\nvV3Lli2TmWnZsmVqb2/POyQAOeF4ACBvbXkHAAAz1dXVpeHhYa5SA+B4ACBXJFcACq+9vV2XX355\n3mEACADHAwB5olkgAAAAADQAyRUAAAAANADJFQAAAAA0AMkVAAAAADQAyRUAAAAANADJFQAAAAA0\nAMkVAAAAADQAyRUAAAAANADJFQAAAAA0AMkVAAAAADSAuXveMaRmZtsk3bOXt+dKeijhRyadJ4vv\nyGqeUOPKap5Q48pqnlDjymqeUONKM0+ocTV6niPcfV7Cz5qxBpc7ef+Gec8Talxp5gk1rqzmCTWu\nrOYJNa6s5gk1rjTzTDV9feWOu5fyT9LGZs+TxXewLCw/y8/yh/Ydoc+T1x/rqrrLH2pcLD/Lz/I3\nf1km/tEsEAAAAAAagOQKAAAAABqgzMnVqgzmyeI7spon1LiymifUuLKaJ9S4spon1LjSzBNqXFnO\nkxfWVXjfkdU8ocaV1TyhxpXVPKHGldU8ocaVZp4ZlzmFvqEFAAAAAISizDVXAAAAAJAZkisAAAAA\naACSqxyY2dy8Y0B+zMxq/1dRyMtuZgfnHQMATKVMx6mQy4Mksjq34xwifKVOrszsJDNbGj9uykZo\nZi8wsyVmNqvO6V8n6WtmdnC9MZnZH8TzNY2ZHWhmB8xg/tTzNpuZzc7wu+pZp4slyd29nunNbK6Z\nzUkRyx+b2QlJ50vxPUfWW6iYWbtU/7LH87zAzE6fSYz1MrNjJP19Ft8Vf19rVt9Vr6THSjPbN8V3\nnG5mb0oxXylPJrIoqxohtNiyKnfqLUOyKKvj70l1nEqyr6YtdxLGk6Y8SH2u0szjTppzuxlIdA4x\nUb3lTrPPIWZStic870h0nj5h3lTrspTJVc2P8XFJh0jRRljnvCeb2WvqnPY0SddI+oKkT5vZsdNM\n/1pJn5T0UXd/uM7vMElvkLQinr8uZnaimf11XGgfNM20L5R0laTjU54oLZb0t2b2kgTzpDkgpJln\nmaSr4xjrnSfRfmFmx5nZ30jTH+ziz77OzFbXOf1hkv5R0qlJCrp4W+mV9GS988TzJTrZj/eBz0ua\n9uQj3rYuNrN/lOorGOJt9yxJpyfc/seu7CVNXh6R9HIze16Cwv45ZjY/QWzHmtkpZjbX3XfWWXA3\ntbCOY7pISnyic5yk88zsiATfdaqi4+C2Oqc/wMzmmNmh9R7H85SwDEldViWMqe7yYJJ56z6+1cyT\n9Bia+CJDhuVOXWVI2rI6ZVxpjlN176tpy52a+ac9JqYsD1KfqzTzuJPm3K5m3kRlVdJziJr5EpU7\nMziHqHd7TFW2x/MmOe9IdJ4ez5OqPKxVyuRK0thO94QSbBgWXXn4v5IOn27HjQ+4vZKWS3pN/J2n\nT5jGah6fKun/Z+/O4+Qo6v+Pvz45IAlBIJsDSIAg4QjhCBCOgBCQRMIZhcghwqKieJBE0K8XKvfh\nbVhARRESDgFFlGCIJvwkKAExwWCAgEQMAl/OVfmChCNJ/f74VGd6J7M707Ozc+y+n4/HPHZnprun\npruqPlXV1T03A/cCf4biQdTMxgD7x8/5OzDZShgVixn1x8BOwLeAKfnpSS07GrgemBNCWBhCyFSQ\non8Dw4ApZja2SNp2NLNtMjbgdjSzrcvM5EcDhwMXdZS22IDYEyCEsLbUjcf0DALea2Znx/XbTWfc\n9h7AODO7uqPlzWxoCOFZYDFwFHBIKYEuHv8fAV8KITxUwvJ7mNmsmJY1GSr5w/DR0wtCCM+YWd8i\nq6wBZgNDzezC+Hnt7iszGwecg98W9R/ApBLz/3uAT5rZwBDCmtTrRfNOCOEZ4AmgfymN3FiurwdO\nMLMdS1h+MvBL4DPAE2Y2psg+yJT3zWxPMzswwzG0uN0BwM5mdh5kCij/xvPzaWa2dQmfdxi+v34Q\nQrg3SUMHy48mFxj/bGZfsAyN6WrLEkOiTLEq6/GN65QcDwqsW3L9lrUOLbfeSenSuJNSNIZ0IlaX\nFduy1lNRSWW13LiTWr/UOjFrPCi7rdKV9U45bbvUupljVZY2RGp7WeNOpjZEXKfkvFxubE+lraR2\nh2Vvp3c2HuaEELrVA9gV+HD8fyZwXPx/Q6BX/L9XgfX2A5YC40r4jA3iwX0IGBZfGwXcBOwL9Mtb\n/jDgceBs4CrgTGCrIp+xITAtbnN/vIf+ReB7wOEdrLcP8Aawd3x+AvBHYOMCy/bCg+0Z8XkfPFiN\nA3bKuN97A7PwArlbO8uMwEdor0q+P/jPAXSw3XcBl2RZJ2/9beO65wJ3JPsl9b4BmwKrgKeAa4Dh\nwCbt5ZUCn7ERsBvwK+Dj6W2n/h8PvBvYPD4fCDwCXNPO8lsBVwJT4/Mz8JGao4ABHaTlMDy4/w04\nAtiohPQPARYAP8k7nu3uZ2AbvFI8PT7fGg9Ggwosu3XMl7vG53sDNwAXFvruqdeGAQvj/h0e8863\n28v/yTZifl8b/04F9iy0XOr5fsCtwLExrd/CRyA7zGvxWDwMTMQbOQXTk3p+IPAsMD4+Pxe4B+hT\nKK8Bm2TJ+3F/nRv32QHp7XW0XmqZcXh90+Fxia/3BzZM5YWfARcDW3ew/SNjnr8Fr8sOKJKenfAG\n3ml4A38iXj6/B+xT7PtU+0GGGBKXzxSryjm+ZIgHHaSzw/qNMutQyqh3CmyjS+JO3vrFYki5sTpr\n+S63niq5rFJm3EmtX7ROpIx4QCfaKnRhvUMZbbu8slNyrCJjGyL1Wta4U04bIlM7jYyxPbVelnZH\npnZ6gfVLjoeFHt3xzNWuwLFmdjReUWwIEEJ4K+RG0wr1QJuA+SGExeZzeqea2Swz+7rlnUYMIbyN\nB8OfAz8wP4V+Bl5J/By4zszuMLOtzGwU8DqeGb4L3IYf2GPiem0kvePgozK/Ae4CPg7sCLQAL+Cn\n6js6jfp74JC4nVvwKQSfNbP3mtn2yefE/dEb2CWudxFesV4L3GRm72/vA8xsN4unTaOBeADeFTje\nzPbIW/5QYAZeabUCZ6VGOdYbsUzth/8D7gReKbZOat0dzGyL+PQVfBQi4AXla+kRqOD+A3wVH6Uy\n4FJgppntk8oz+SMcO6e28V/8GG8HnGRmX0i2HQdCNscrgAeB28zs03jA3g3Yx8y+m14+le6n8Kkf\nU0IIPwL+BByHjyKvN5JoZsfgUxOOAk4CvgAcZ+3MMzazTcxs4xDCy8Dx+AjitTEta/C8gZntYnFu\nfHw+MITwNJ7X9zWziXHf3h/ypkTEkcs78fLxDTM7EK/sLgdGmdkFBb574jW8wbZdCOE54Kdxvxxa\nKP+HWPsBnwcuA36Nl8nvmNkXk/IWP6tXTF9f4EXgr3hl+it8hGti3jbz990Q4EvA50IIC0IIq+Lr\nnzezz+ava2ab4A2vRan0ng/8Ez+ew8mbSRBCeDWm5z8ULy9H4aOnl+J57avAAcn3TNIS66NknUPM\n7AozO83Mdg4hLAa+D2zb0UhyPIaPAT+OI6+vAh/DA/+HzWzbAunbFvga8BHgk3gwPsrM9mtn/26J\nNyRvDSFcF0L4VwhhQUzfACC5PqmeYljJMSQqOVaVc3xTisaDfFnqt6x1aLn1TnytS+NOar2iMaSz\nsTpj+S63nspaVjPHndRnFa0TgR3IGA9iHiurrdKV9Y5lbNulZY1VZbYhMsedMtoQ5bbTMsX2+Fkl\ntztimkpup8ftlxUP21VqL6yRHsDJeKFbife+b8dP2f4MuBHvIef31t+Hj0p9BLgvLvdjfLTjKjxg\n7AYcigeqfnhh+yLey783bmcwXgH8ENg5ZpiLktgX/x6Cn6L+DDA8Lx3bhtRoAl5Yn4jpeU/83M/j\np1MnFvjuffFRoevx066XAstieu6I++Mb+EjBJsD2wG/jvpoLfBAf6fsIcEUH+3jvuF8/h49ALsQr\n7V7AFXjll4yWHoaPZu2X+k4XA98FRqa2+SngU/H/DfM+b3yxdeLzPfCRoPuBCcBIfJTkZuAgPND+\nkvVHoKYAc4ijNMBPgP8D/gf4ZN6yveL2r4/PN8fz19kxj/wcOCu+l4yYNOMjrN/HC3wy5eBLMb0z\n29nPX43H56j4/IyYtmNJjQzi+XcFMCn12mR8hOoU1j+begTwBzyQnB1fGxLzyKzUcmcCS4DB8fkO\n8fjuEZ9fDDwJXJzeP/HvGDwYfCA+Pz/mhab4fK94XC5Irbs7ntcn4PnwS8TRymR/4hX+D0nlf3yE\nMfnc7fC8eVB8/um4j3+Al+dkxO5QfBTv8NR2mvDRsHvwKST5x8NSy/0K6J167xJ8BHIOcGnq9XF4\nvm3C89O38DMP38EbYHfiZXQOcGrcx3vjZbMX3hC6jHbyftynj5Ea9QTOwht7E5I0Aqfj5XTTuM5f\ngAviPrkAb9xvgJfPG4HzOij7DwD/iwe3n8dj+1Hgd3idODy1/JFx+1ulXhuNjypeQqwX0vsYb6De\nhdflI/LePwAfiX13V8WQch6UEEMKrFNKrJqc9fimlislHpxTbv2WtQ6lzHonL+91WdyJz0uNIe/P\nq+9KitVkL9+Z66lyy2pqvZLiTsY68cdkjwfJWY3MbRW6rt4Zhbf9MrXtUtvJFKsosw1B9riTqQ0R\n38/STruIMmJ7qsyU2u7I0k7/AV7+yo6H7Za9LAvX6wPvxOyU99oxeOXxHbwQHh7/TiMG5XjAxgGj\n4vPT4oG9FNgxvjYAr8A/ip/+vSFmyseAPfHCfz5eqWyZ+vwNUoXnadYPYIfEgvE5YEt8VGYjfHQt\nKbDD42efFzP/T2Lm7Y9X8Emh2z3+TRqNG8YMMRd4JvWZA/HCdQIe/L8eM9nGwCF5GfQj+GhCfid0\nPHBg/H9vvBHwH1IdkPh9rovbPxJ4G5iWt519yBXC3vgI5v/igW0fYHnM8LvmrXNpoXXytv1rvLI5\nC6+ELsUL9sFx330FDzT5FcOP43uHxuN7dtwPv8cLvhGnUqTyxQ14w+PT8fW+8XN+G7d1HXBSfO+T\neKE9OT4/AW8YrMRHcvbH81bf+P4QfNTwl/iUhCSYfxYftUsaMYcBj6aOSx9ylf1heOV4MjEoxtce\nwAPlBDwYJPm1Ke6/7+EV6hPp/YvnlSvi+7vF187FK5/R5Bp6fYBvAs+l1n0CD1x/IpfHx+EBYwbe\niDkIz+/fj8v/FfhD3nHaIh7boakyNhMv40n+bY778sPxWH4Ir0RviH+PwOfHn0AsP3mfMSDutxvy\nXk+OTe943N+feu/DeNkbgV9LkHRIC02B+C0+mp6kdw+8rHwSn+rxm5j+P8d8sCM+KJKf9z+DB/yl\n5HU2yDXAdwA+gU+n2C0+1pIL6PvgdeW2qXX3whu85xTYN73jOt/FR5yb8DrwQjxor415pBc+0vtX\n4H3Juqnt7BjXuZBc3h0av9NActOFphEbOnGbffAysWV+2moQe7LEkBFkj1WnlXF8s8SD0cD2qdey\n1G9nsv70rY7q0BMov97p8riTIYZshNd5bxEHUSg9Vh9DtvJ9JmXUUxnLatKmyRR3MtaJ28Tv/XyG\neDAUb69kbqvQtfXONqm4U7Rtl/de1li1L9naEMPIxf4sceejZGhDpMpSqe20F2M6zyNDbE+9Xmq7\nYwoZ2ulxnU7Fw3ZjQ1cGnq5+4I3dkcDzeEV0Eqn5tDHjXYfPZc0fuU9XcnPx06ZDC3zGCXiP9m/A\n2NTr58YDsDveO/4y8P/w0ZVJeOX/tZh5t4xp/HLett+HB+LNWL8z9p24/TPj68Pxwn8LqbMu+Kji\na3gw+DoxyKcqqpvxixLB5xI/gQe2nWPmuwR4V1669sNP1U/Oe/3wuM9OwoNsn5gR5wD/k7fsUOBE\nfOTw+/gIyYF5y+wT9+P98fglc7A/HDP7zFhIzic3Z3wMHuQeiPs0XajT85Nvi9sdiBfyx4Cr4nuj\ngc1SeSipaPbEK89ngCmpbW2Q+v7rrqnAA9udwKK877VhzAMj8Errx3iDwvBpIz/A7yqVVAjb4BXy\n9vgo1nX4NKHfk5tj/um4P46PzzdNVXwv45Xoxqnvkt4Xk/A8fEJc/i3g0PjeAfg0kJnEUSB8ZO0P\nwGoKXMcQP+fbeLBOGnLfwPP8bnhjryXuz5/hldKd8bj1wfP4C3Gf9MYr98vxPP/Z1OcMx6c+3Af8\nMi8NvfPSc1lM0/viNnvhI8YvsX4+3hcf9do37/UjSHW48aB0F7k57hPxwP9VfGR6Bt5Q2ytvO6fF\n77xxKp/MIxcUBuMjdN+nbX11AB6s9kq9dhVedprwgHshufLyETxQHo2XmTtZfzT2LDxoPp36/I3x\n8nFjarl5eGP3TLxh3AcPKFvG9/Mb7P3jfrwZ+HxqOwfhDf3R8Vg8k/rcbfHG9gap5XfAy+fX8Hp0\nPzz/nx33W9LQOZNcw39/fDS84MhwtR5kiyF/wMtGybEKb8hnOr5kiAcF0pmlfjuSXMOzlDr0SMqs\nd6hS3ClQbxaMIfho9hA8tmeJ1VnL94cor57KUlYvxM9OZIo7qW0UrRPxMj4fj1E/p7R48CPKbKvQ\ntfXOI3gDveS2Xd7rJccqfAqjUXobIv8sb6lxJ1MbIvVaqe20F2MeyRzbC+y7jtod4/COVUnt9Lzt\nZoqHJcWHUhes5wdeuT0QD/JNeMFMGjbvwwvmB+MOMtqv5JaTG2EagU+zWIbPN74sybCpdS6I72+A\nV+pnxQz3ID7qcVE8QCPwU8kvsX4hTObxpjtjW+BzYhfkLbsNXrC2SL22Sfx+P8MbNU/HNCRTI/bC\ng9238YrhY6l1B+EB6hx8lGMgXoAfB45OF7C4z/5KXnCP7+2Nj9SnT+dvi0+JeE98fgYeKA7IW3e/\neNx2zXv9VryS3in+fxNeMfSJn/dNcp2xQ/CRkhvwCnhAqoD8MlVR7Yw3PubStpJIvmM/PCBeX+C9\niXgj5vC8dPbHGwRXp147DJ/Sknz3U/CpP8fG5x+P3/mj8ftMxiuuD8b9Ngu/k9K01DY3wkfCvgkM\njK/tnuzTeHyvp22lka4c3xvT8SBeVn6PD0z8v7ifd8MbD5fH5ZvIBZUxyet5FdK38Io6aYBfjee1\nJfgo56Z4nrqe1IhlXPY84IPx/2a8sXx63C/TWT+I/pH1y8NQcmeHBuIj5i3EKQX4SNmfUssnQeMI\ncgMOSXD6Vvz+N1D4QuzJeBD/BD4qfWk8XlfFfX98TMPp+EjzFEqbAvGjVHqPIzYWadt4+kH8/obn\n/ZkxHYuAI1Lbm4aX5/zG2Il4x33z1GsbxvT9HM9T9+Hl9XI8T32PXKDcHPgvhRvse5M3lSe+3jdu\nbyle9gbgI9SfL7Bvd8Q7Yx/BGxvvwUcpP0/bhs7JeOdjKamGey0eZIshfwF2ia+VGqsmZz2+8f9S\n48FX87aRpX7LWoceRhn1Tmo/d3ncofQY8jHKj9VZyveulFdPlVxWKTPuZKwTx+FnVf4ZP7+UePC5\n+B3SUzVLaqvQtfVOcpOHktt2qf+zxqrJZGhDpNYrdVr9j/Ayn7UNsU3edyylnbZbTH/JsT2+nqXd\ncROe10ptp4+gzHhYcozIsnC9Pcg1lt6D91CTkZvH8Ir8ezHjT6btlL2pFK7krsQLYq+YOe/Cg9OX\n8jJ+OjPPJTfSNwTvySeFfSs80CSVxvb4FI/03Ucms35nbBu8snuZvFFGcqNRe+EBohd+N5gleGDa\nPWaQx/ECvAc+avVZ4pzcuM5e+MjH2XgQ/yw+CrMVsedP24J1HPGUKH6m7QN4JXpOXG8cXvl9BW8k\n3E/u7ldJ4P0EhQPdBunn8bUjgW/H/4/Cp0vOwRsvJ5GbEjc5ftdP4Q2ZP+AjUHvG9+8G7kpVLBvj\nBf1XxIoqnQ9ifrmPWKmljuPVxMYEXmlvg+ejzfEK/bfATfH9afitlecDh8XX8ivHafioy+Fxn+yd\n+rwkAN2Ut0/6kTvjthVeOaZHh3+ANzbSATUpI4fFz0lGsW7G8+r01LJb442e/NHJ3fAGxXfyXt8Y\nD6pXpvbLH4CP5i33LjxwJ42UHfEgdRBeJk6Pfw0fpW/BR0Dzg/l8cqPle+Ej4UvwIH5AfP1cfDQ2\nmTqykNhYwPPo3vgI229T2x1Dbrrg5aw/zWMsPprenNr3v8eDzdb4KPWDeLn7fdzXWaY3Torpuigv\nXcl0m754gzn57u/HGw9H5W2vKe63Oen8FN/bKR7v7wGfiK9tFI/fKtqO6m5K7o5Pg+LfOazfYB+X\nOha3AV/L+8xN8Hy+AM97pxT4/r1S3+mneGO4N16n5Td0foWf7Tgyv36q9oPSY8jV+Nz+LLHq1DKO\nb9Z4kG70l1y/kbEOpRP1Tnyvy+MOJcYQyo/VSb1TavkeT3n1VJayeg1lxJ2MdeJivNOxnLZnB9uN\nB/H5d4nX31FeW6Ur6p2VxLYdHqeKtu3yymbWWJWlDfGu+Hwk2eLOWDK0IdqpBztqp52VPj6UGNtT\nr5Xa7jgCjwulttP7UGY8zBQjsq5Q6weFLwoehFeqJ8ZM/3d8bur5MXPlX4D5eVI9ZdpWcnPwU5bJ\nLTaTCvaWmCmSEaQkkPyCeIvLVGZ7NJXhbyAW3Ph8NF6RNMV0Z+qMxdcn46Pjzfjp7d54IdsFH/H6\nJz7acic+GjEID/T3xe/105hpH4vr/T+8Ijovfz/jFeVGMQPfHwvIH/Ag+WO8QvhRXDaZ2zojZtD5\nxItXU9v9RPzcg1OvbY83DN5LrvOwfUzvxXF/JvvoZHIjFpPIm/YR0zoTr7yTfb4kpv1BPEBvEvPK\nb0g1DuKy78dHXpKLbLfD89F38ZG5PfHA9Ev8Gocb4j7tjzdANsdPv38PDwa3k7so+JS4z5L505vG\nZWak82Hqe8zCR4Pyr2uYEo/Br+PfS1Lv/SCul64c34efmv8FMCb1+izggdTzj+IBMhm1HUxuVH3H\nmG++T9tANgyvuDbBy88scrdgTlduA/DG2V/i43C8DKzFA/Bn8DLbC28MfBUPogVv/xv3z834BfOX\nxONxTTxWN+ANsIPxYLYFXmYWx+f74ZXoFHJBNskrn8MvfrXU8U/u6PRHcmcIrgM+kkpP75gH3k22\n6Y1HFElX0kCbizeuNo/HaJ/4+gZ4o2h4/L83Pjp4L23PqoyI6f8iPk1iNl5XbY3n7VtJ5b+4zjbx\nePbHp0YUbbDj5XZ//ExAUgf+D14Pp0dET8MD7cap/Xcc3jn5FIUbOruSC5A161hliCHG+tenFItV\nI7MeX8qIB6n0ZKnfHsLLbql16HGUUe9UK+5kjCFL8bsFlhOrs5TvcuuprGX1XDLGnbw8U0qduGHM\nP1umv2t78SD1Xua2ClWod8jWtrO8fVpyrIrrlNyGiH83J1vc+QAZ2hCpPF5qO+0Myo/tWdodI4K9\nswAAIABJREFUH8A7clnb6ZnjYeYYUcmAU40Hucoo+ZtULuPwgvQKbS+oTDJBE7mRnUEx87RXyX2c\nXFDYKb5+YiwEn0tt+zi8Ys6/419yNuIKvCD1y/uMdGWWqcDiFU+bEae43Fl4oP4HcEyqUCeFb0DM\n0Evj9zoQD5J74AF3h/hdTkltcxg+QpZUwp+PmfCbwOjku+CBbnBqvaRiOCt+/w/mpXU6HkD6x+//\nEF6BzMcDVNJoOAmfHnBagXzQCy9IP0vyQepY9sdHg78Wnycjjofn5ZmT8AZHMhL0sXjcd0h9zo54\n4bsWL4j/wkd534ufYv4qPv1iN3Kjs73wQPATvGMzh9z0ntNjvkgqjxby7jiU+uzt8VGzn6VeOyTm\nh73wztkO8bt+I7XMVXG/vxsPtH/DG1dn4wHxkNSyt+CVzCl4JZtMXzqC3NmY8+Nru+FBYWZq/ZPw\nTmX/mJ5lxDMLyb6If/vhee1q2o52vxevhKfF934e9/WPYto+Q9szA+lT+f3jd70dH406Kh6jR+I2\n78Abpm3KTEzLV/AKe2pqeyfieTl9/EfH438s3nh9EK87bidXrtPXf/WixCkQRdKV3kcfxMvtULzM\n/g4P+P3wUcoFeGP7p3ijdxO8MblV3md/l9wdqE7CA+s9eCP8T+TdcQtv7M0n16H5Nh0P4KTL8oK4\nzO54Iys54/JuvH5cEo/Xt/AGbhIED4/f/zMxnRPwOmg6eaOdNYg9WWLIGMqIVVmPb34eKjUelFG/\nTcbrh1Lr0GbKqHeqFXeyxpD42ml0IlZTvHxP6WD5YvVU1rKaKe7kvV9SnUh58cDI2FahivUO2dp2\nWWPVvpTRhigj7mRqQxTYxyW108gY2+M6Wdodi+lcOz1TPMwcLzobcKr5wCvPleQCXHokZBN85CSp\nkJNCY6kDdiu5CuUcvPDkV3Ir8KB0Mrm5xnuRG+G4JR7UK/CLZte7g0/c1sSYsZI7mvVLvZdfmWUp\nsOkzHX1o25u/hdzUvz7tpGtQ3vODiaOI+Dzy80j9gCU+0nA5HszX68nH/XQvPpWhUMUwKWba4/LW\n2xQP2A8AE1Kvfx0vuMktN68md/Fikq5xeIWwRdz2RcCQvH12Nl5ZJmcHkzsejcIDwbvIjb7eik+H\neIK2F8EmZ2Am4A2hI1LHM0nLF/B8txa/iHYqPpWgDz4adlj8jDuIp99JVXx4BbSAXEXVK7Xt04m3\nAU4tfw65C6eTfLINHjTOSy33HXzqxN7A/vG15C5Jl9L2zOGvgHeAnePzyXhlPAWfOnADuZH5UXgj\n7348OKy7niS+/4n4fjIdIGl4vB+vVJM0518suxwfmd8KD9h34VMMHkkdh0Kn8gfGz7s1tb1343PI\ndyhQZpKpQIPxkc1r8cbdN/HR3aRzmT7+74tpeW/8fm+m9lVSz2xP7u5wJU2B6CBdSZ5aSO7W2bul\ntv05vEP7bFzudDwwzyI3wpnu8CUN4Q3wEdTN8XL/FLlbhd+UpD8vrV/G685++MXtSYM9GaHciPbL\n8rl4QyfZp9Pw+vVJvIE2IR7PJ/B8eSOe3/4nfu7peHl4Lz56vWt++qr1IFsMWYrn1ZVkj1WZji9l\nxgPKq9+SW2gXrUMpo95Jvd6lcSdrDMlbv9xYXbR8d7B8u/VUOWU1/p8p7pRTJ8b/M8eD1LqltFUO\np8r1DiW07cgeq/ahjDYE5cWdrG2Istpp8f+SYntcNku740m8fs3cTqcT8TBTzOjMyrV4xMzzOLkz\nUulbRp6KVybp0az8A3ZjUgHgldlsfB5vUsmdxPpB4Ru0/Y2R9+OFYZsiaT0cH+la7w5SBZbtsMCm\nvuN6I07kKqxz8F58wbut5H1eXzyYPkzuGoZL8BGwQgX2KnxEJDnjMhIfpfwLXjl0VDGcgAewk1Kf\nn3R6jirwfc/FA0NffHThnrx9uoTcaeAt8UrnwvR+xiver8T/k1GX3fD582elltsYH5F8glwA2CF+\nr5vJXRvxMbxBsU1q3Y/iDanR5EZpLsAr/pvw0bEPx2U/ghfa/GlCG8W0fpO207hOjGlYd0eu+PcH\nxAowHpvk2O+Gj7q099saSeDcPqbxUuIc9/h68j2T45I0pPbB74Z0FXGOc3z9M/g0hh3yPmcIPkXg\nh3GfJDeQeYzUCGaB9B2Jj6YljdHN8JHzkallOjqV/z08j6UblwXLDG1HT/fGR0knJJ9V5PiPxCvz\n9Fm+TNMbM6TrbLwRs13evhqINyqPp21D5hryri/Iq0M2INeYeJzcgMP25OrTQbQdqd0ID5xJnfhL\ncnfd7J1ap72yfB5elgfinbAziWcf4vvvwW+pvSM+Sv8tvCF0D16fnJb63BnF6rWueJA9hiSN/Uyx\nKsvxbS8P5R2XgvGA8uq3THVo1nontUxXxx2jjBiS953KitUUKd8lLJ9fT2Uuq3nLnkeRuFNinhlJ\nXp2YWq+seJC3jfbaKuOpUb1DkbYdGWNVXCdTG4Ly407JbQjKbKflfa9SYnvWdsdxdKKdTonxsDOP\nqgeqSjxixv47uaCVjPLsggeg4UUO2A/x08v98Yrr43hlvF3qM/KDwmWkbnKQIa1T8KDUK78wZS2w\nqQLY3ojTZfgvhg8p8jl98QpuAevfaaeUArsBPr/5FnINzGIVw2l4xZw+lX0k8Ta08Xm6IbEwte3k\nrnWT8fm9yW9XDMED+xb4afML4+vJ70Wkp01Mjulbd/clcpVNf9qeTeqDj5o8gwePI/AR6QvxAjss\nfp8ltL2W4FD8AuImfLrIwridDWI639XO8RiOjwQtxEeLLqL90clD8RGo9PHvizcQbiOv89bO522P\nV4yXk3eRd+q4/AWfWjEfnxu+NX6q/NYStp/c2Ww5XnE9QK7iarcM4Pn/b0l+aGeZ/FP5v6LIqXwK\nl5lkpPkM1m8QFjr+x8fjknyPS/FGZl+87JQzBSJTuors8w/iI3XbFVluR/y2x18r8N6m+DUN36Ht\nRc6XALek8saPWb+x1lFZ/j25hux6F0fH476MXAN6At4Y+iu5aWi/I9U4qtaDTsSQ1HcrGqvKPb7t\n5KEO40E7+buU+q3kOrSd79BuvUOV4g6diCEFjms5sbqjeqfk5elEWU0tmyXuZK4TU+uWFQ/i++22\nVWpd71CkbUd5sSpTG4Ly4k6mNkSRfbxeO62D8lIstmdud9DJdjodxMPOPiq6sWo+WD9oTcNPFeZf\nZ9DeAXsQuLnEz0oHhX3LSGvJ1wqUUGDbG3E6Gb+4eFSJn9OX3AhU/g8Fd1RgbyX+cCN5FySWUDFs\nXCAd+ccxqTR/TdtTufnT+7bDR8reG58Pj+vcFfffmAKfNQkPHpukPyv1/tbkppINJvdji2fgDakH\n8ODdL76/eYHPOAKviJLbpW+bv0w7x6M/Ppp2Xvy89oJ6+viPS71+PB5M1rvjVjvb2QmfAlGwI05e\nQyrJx3iQW2+0vZ1tDMMbL23OvpWQ//9SIE92ZmpbR6O0i8l13osd/z/Fz0mmUuT/rkjJUyCypKvI\n/toCb3g+SoFGUTvrnBY/d70LivFydQrwHD7iPAlvHNyNX2MxDJ+aUej3nDoqyx1O6cPLzd9pe7OF\ndAOtUxcXd+ZBJ2NIgf1SMFaVc3w7yEPrxYMS8ncp9VuHdWgJ36fdeocujjtUIIbkfW65sbpg+S5j\n+bLLamobHcadEvJMh3Vi3rYyx4Mkj9FOW6Wd8lW1eocCbTs6EatSaSq5DUHn4k5JbYgi+7jgpTHt\nlJf1YnveMmW3OyiznU4H8bAzj4ptqBaPeMD/ip9eX047I71FDli7Pem8bXTYGK3w9+qwM0b7I04V\nuyahSIFdTvtnYTJ3LgoU3FPxSjv/V7rTU1PmEy9aJDd6MQwPyu2OcMfPeoL153NvhFd8s8gF32Z8\naslm+HTJ38R8dFWR73NE3EcFK+wKHJvhsRJZiI/UXICPspZUyaW2UyxwTIr7Kpmn/xF8+tN6neRq\n5H86cSq/gzKTjLplOf4/7OBzik6ByJKuEvZVclOYkgZV4jo74dOg2g0m+DSgL+OjrXfhDdzvF8s3\npZbldtadjJ+5yL/t87qpVrV60MkYQomxqpzj20EeSt/+upL1W8E6NMO+7Cj/dGncoQIxJG975cbq\nguW7nPqg3LJawnerSJ1YjUe91Tt0ctoZGdsQlBd3MrUhOrOPU9soeqKBTrQ7KKOdTgnxsKw8UMmN\n1eIRM9XajjJFZw9Yahs1Gz0tkJaSznRUYN+WXGBT62XuXJA7Rf+peFzaCz7rTU2Jf48iXlxZwvcq\nOOKIjzB9CL9Q81Mxz9xG7vT5MHzqSdGGbHufUeHjfyAefD9LJy++LHJcHsEvkL63veNSzQdlnsov\nVmYqdfwpYQpElnR10T4sGkhSZesifCrVK/hNDNodeUx9/6JluZ11jyTvdtn18qCTMYQSY1WZaSua\nhxqlfqOL4w4ViCGVPjadWT7vO2QqqyVst2J5pqsf9Vjv0IlpZ1nLGOXFnUxtiM7s4zKOZVntDspo\np1PhjlUI3aBzlWXHdOaA9dRH1gKbWi9z8I3B7W2KT8dIpqYkjZzT8Ck6786QvnZHUPDfTZmP39Up\nuT1nctFxycGqo89opEepx6XKaTqNLjiVX6njTwlTIOr9QduBh6Hk3T2sK/NMqXVGDfZJp2JIV+TX\nMr5D3ddvXR13KhFD6unRmbJazTxThf1Qd/VOZ2JV1jJWjbhTrfZAPbY7sjySuaE9hpkdhd8BZo8Q\nwqO1Tk8jMLMpeOWwVwhhbYb1BoYQXs/4WQNCCG+UsNzh+Jzhq/CRtU9W8nia2Qj8AvU98VGaz+G/\nIRFCTys0lH5cqsXMdsKP/4ldka5KHP9y8n+9MTMrN7/XW56plO4QQxqhfuvquNPVMaTaOlNWS9x+\n3ecZqL96p6tjVYHP6/K4U619XG/HMose17mCxj5gtVKPDcWubuSYWV/84u7vAN8JITxR6c+Q8nV1\nOdbxl/Z0hxjSCPm7q+NOd+goV1Mj5Jl61B3qC8mmR3aupPtQpSUiIuVSDBGRSlPnSkREREREpAJ6\n1ToBIiIiIiIi3YE6VyIiIiIiIhWgzpWIiIiIiEgFqHMlIiIiIiJSAX1qnQCRns7MmoC749PNgTXA\ny/H5PiGEt2uSMBER6ZYUd0S6ju4WKFJHzOw84PUQwrdrnRYREen+FHdEKkvTAkXqmJk1m9mDZrbU\nzK4ys17x9avNbLGZPWpmX08t/6yZXWJmD5vZn81sTzP7nZn93cw+XrtvIiIijUBxR6Rz1LkSqVNm\ntgvwAWD/EMJYfBrvifHtL4UQxgG7A5PMbOfUqv8IIewOPABck2wDuLBqiRcRkYajuCPSebrmSqR+\nTQT2BhabGUB/4Jn43klm9jG8DG8J7Aw8Ft+7I/5dBvQJIfwX+K+ZrTWzgSGE16v1BUREpKEo7oh0\nkjpXIvXLgJ+GEL7W5kWz7YEZ+EXH/zGzG4B+qUXein/Xpv5PnqvMi4hIexR3RDpJ0wJF6tcC4Hgz\nGwx+dycz2xp4F/Aa8H9mtgVwWA3TKCIi3YfijkgnaTRBpE6FEJaZ2fnAgnhB8TvAJ4HF+FSMx4Gn\ngftql0oREekuFHdEOk+3YhcREREREakATQsUERERERGpAHWuREREREREKkCdKxERERERkQpQ50pE\nRERERKQC1LkSERERERGpAHWuREREREREKkCdKxERERERkQpQ50pERERERKQC1LkSERERERGpAHWu\nREREREREKkCdKxERERERkQpQ50pERERERKQC1LkSAcxspZlNrHU6RESkZzCz08zsj7VOh4hUljpX\n0tDM7ENmttjMXjez583sLjN7T3zvPDN7J76XPL5Q6zTXAzM70sz+aGb/MbMXzOwnZrZx6v0Nzeyn\nZvZ/8f2z89a/2syeMLO1ZnZa3ns/zNvnb5nZax2kZRcz+62ZvWJmocD7I81srpn9O6blCjPrU4Hd\nICKSSUcxJ7XMaWYWzOyEWqWzHsW4co2ZPW1mr5nZUjM7PG+ZQ83scTN7w8x+b2bbpN47JL72qpmt\nzFtv67y483o8Bp/rID0XmtkyM1ttZucVeH+amf0jxsHF+cdZpD3qXEnDig3+7wOXAMOArYErgWNS\ni90SQhiYenyzBkmtR5sAFwFbAqOB4cC3Uu+fB2wPbAMcAnzBzCan3n8Y+DTwUP6GQwifTO9z4GfA\nzztIyzvArcDH2nn/KuBlYAtgLDAhfraISNWUGHMAmoF/AadWNYH1rw/wDF6HbwJ8FbjVzEYCmNlg\n4JfA14BBwGLgltT6/wV+CvxP/oZDCP/Mizu7AmuB2zpIzwrgC8Bv8t8ws32By4CpMa3XALebWe/S\nv670VOpcSUMys02AC4DPhBB+GUL4bwjhnRDCnSGEcs9O7W1mj8UzJNeaWb/4WY+Y2dGpz+4bz7Ls\n0U7avhBHNP/XzE6Po2ej4ntHmtlf4kjYM+nRsniGJpjZR+J7/zazT5rZ3mb213iW6Yq8z/qomS2P\ny/42PcrXkRDCTSGEeSGEN0II/wZ+DByQWqQZuDCE8O8QwnLgauC01PpXhhDuBt7s6HPMbCPgOGBW\nB2l5IoRwDfBoO4tsi3eS3wwhvADMA8YU/ZIiIhVSasyJdfAE4BPAYWa2efFN2xXxbMzjZnZofPGD\nZrYkb8GzzezX7WxkWzO7N54RWmBmV5rZDan3fx7P/L8alxuTeu86M7sqnoV73czuM7PNzez7MbY8\nno53Zralmd1mZi/HMzvTS9mHcZ+dF0JYGUJYG0K4E/gHsFdc5Fjg0RDCz0MIb+KDfLub2U5x/QdD\nCNcDT5XwcacC94YQVnaQnlkhhLuAQjMrRsa0LAkhBGA2MBgYWsp3lZ5NnStpVOOBfsDtFdzmycBh\nwHbADvioGnil+uHUckcAz4cQ/pK/gXh252xgIjAKODhvkf/ilf6mwJHAp8zs/XnL7IufNToBHyU9\nJ25vDHC8mU2InzUF+AoekIYAf8DPEpXjIGLnxsw2w88SPZx6/2HK69Ach591urfMdIHvgxPMbICZ\nDQcOxztYIiLVUmrMORVYHEK4DViOx5WO7Av8HW+4nwv80swGAXcA25rZ6NSyp+DxqJCbgAeBJrxT\nckre+3fhcWUoPuPgxrz3j8dj3mDgLeD+uNxg4BfAdwHMrBcwB48Jw4FDgc+a2WFFvud6zGwYHmuT\ngbUxpOJOCOG/+NmlTLHHzAw/Du0O6pXgLqC3me0bz1Z9FFgKvNCJbUoPoc6VNKom4JUQwuoiyx0f\nz/gkjy07WPaKEMIzIYR/ARcDJ8XXbwCOMLN3xeenANe393nAtSGER0MIb+BBbp0Qwj0hhGVx1O6v\neGdoQt42LoxnaX6Hd8Z+FkJ4KYTwHN6BSkYQPwlcGkJYHvfDJcDYUs9eJcxsEn6m6uvxpYHx76up\nxf4P2JjsmoHZceSvXPcCu8Q0PItPFflVJ7YnIpJVqTHnVLyjQ/xbbGrgS8D341mwW4AngCNDCG/h\nU+I+DBDPNI0E7szfgJltDewNfD2E8HYI4Y9452ydEMJPQwivxe2eh58R2iS1yO3xLM2beAfyzRDC\n7BDCmpiOJO7sDQwJIVwQP+spfObDiUW+Z36a++IdvFkhhMfjywNpG3egvNjzHnza5i8yrpf2Gj6l\n8I94Z/Nc4BOdjGXSQ6hzJY2qFRhsxW9scGsIYdPU4387WPaZ1P9P49cjEde5DzjOzDbFz5zkj/ol\ntszbTvp/4ijY7+N0ilfxDtLgvG28mPp/VYHnSednG2Bm0nHE5/gbPppYEjPbD28ATA0h/C2+/Hr8\n+67UoptQeOpER9veGj9zNzv12smWu9j4rhK20Qs/S/VLYCN8X20GfCNLWkREOqlozDGzA/BpzDfH\nl24CdjWzsR1s97m8Bvu62IOfeflQPBNzCh7P3iqwjS2Bf8UBvcS62GNmvc3sMjP7u5n9H7AyvpWO\nPVnizpbpQUt8BsWwDr5jG7Fevx54Gzgz9dbrtI07UEbswQf1bgshJLEMM3s0FXsOLGEbH8PPVo0B\nNsA7uXcWGaAVAdS5ksZ1Pz6alD+lrjO2Sv2/NZDuiM3CK9cPAvfHs0iFPA+MaGeb4MH2DmCrEMIm\nwA/xDlE5ngHOyOs89g8hLCpl5TiH/g7go/H6KQDiNVjPA7unFt+d9q+Jas8pwH1xZDPZ9o2pi44P\n72DdxCD8WFwRQngrhNAKXItPzRQRqZZSYk4zXp8vNbMXgD+lXm/P8Nh5SqyLPSGEB/AOyIHAh2h/\nxsTzwCAzG5B6LR17PgRMwaeXb4KfAYPyYs8zwD/y4s7GIYSS6uT4Xa/BO2PHhRDeSb39KKm4E6/Z\n3Y4MscfM+uNxus2UwBDCmFTs+UMJmxoLzAkh/C3ONJmH7+f9S02L9FzqXElDCiG8ik9ju9LM3h+v\nx+lrZoebWbl3BPyMmY2I893Poe1din4F7AnMoP057+B3vfuImY2Oge5ree9vjI8wvmlm++BBr1w/\nBL6cXJhsZpuY2QeTN83sHitwe9n43i74GaFpIYQ5BRaZDXzVzDaLc/4/DlyXWn8D8xt+GNDXzPrF\n0ci0U9PrtMdcP3x0kLitDQFCCK/gFzx/0sz6xDOHzcBfi21XRKRSisWcWIcdj9/IYmzqMQ0/+9Te\nGa+hwPS4rQ/id2+dm3p/NnAF8E6c7lcobU/j06XPi3XzeODo1CIb4x3DVmAAPoW8XA8Cr5nZF82s\nfzwrtouZ7Q1gZgdbgZ/USPkB/h2PDiGsynvvdmAXMzsu7s9zgYeTaYNm1iu+3tefWj8z2yBvGx8A\n/g38vtgXifu8H94W7hO3l9wN8M/AkWb27hijJuHXhz1SbLsi6lxJwwohfAe/ecRX8ZsmPINPMSj3\nepybgN/hdyL6O36r8uSzVuHzr7fFp6i1l6a7gMvxin0F8EB8K5nK8WngAvPfffo63hkrSwjhdnx6\n3M1xqscj+JTFxFb4dMZCPoffBOOa1FSJ9Ojgufg+eBq4B/hmHLlL/A6fKrI/fifBVfhNMQCIwX0E\nHd+CPbFNXD/5/FX4dQeJY+P3ehnfp+8AZ5WwXRGRiikSc96P112zQwgvJA/81uF9gMmFt8qf8BtN\nvIJf6zs1nqFPXI9fc3pDgXXTTsZvutGKx65byMWd2Xhd/hzwGLm4lFm8BusovOP4j5jun+BnxMDj\nTsHZE/F64DPiui+kYs/Jcdsv4zdBuhjvIO1D22u5DsL38Vz8DN8qPBalNQPXl3ht1I/jNk7CB1RX\nkbsRyGx8euc9+HVfl+MzRR5ffzMibZmuzRMpjZl9HdghhPDhogvn1hmNd3o2LOFC6IoxsxH4/HxN\nYRARaVBxmttLwJ4hhCczrHcL8HgI4dwuS1zhz/0J8PMQwm+r+bki9USdK5ESxKmCfwFOCSF0eFtx\nM/sAPrI2AJ/3vTaEUMlrw0REpAcw/+Hio0II7y2y3N74TY3+AbwPP5s2vtBPhohI19K0QJEizOzj\n+PSPu4p1rKIz8JHGvwNrgE91YfJERKQbMrOV+HW+nyth8c3xKWyv41PYPqWOlUht6MyViIiIiIhI\nBejMlYiIiIiISAUU+wHWujZ48OAwcuTIWidDRESqbMmSJa+EEIZU+3MVd0REeqZS405Dd65GjhzJ\n4sWLa50MERGpMjN7uhafq7gjItIzlRp3NC1QRERERESkAtS5EhERERERqQB1rkRERERERCqgoa+5\nEhHpSd555x2effZZ3nzzzVonpWr69evHiBEj6Nu3b62TIiLS4yjuZKfOlYhIg3j22WfZeOONGTly\nJGZW6+R0uRACra2tPPvss2y77ba1To6ISI+juJOdpgWKiDSIN998k6amph4R4ADMjKamph41Yioi\nUk8Ud7JT50pEpIH0lACX6GnfV0Sk3vS0eriz37fLOldm9lMze8nMHkm9NsjM5pvZk/HvZqn3vmxm\nK8zsCTM7rKvSJSIiIiIi0hW68szVdcDkvNe+BNwdQtgeuDs+x8x2Bk4ExsR1rjKz3l2YNhGRHmfg\nwIHtvjdz5kw++9nPrnt+xhlnMHHixHXPW1pamD59OgAXX3wxY8aMYbfddmPs2LH86U9/AuDggw9u\n8wO7K1euZJdddqn01xARkQbRE+NOl93QIoRwr5mNzHt5CnBw/H8WcA/wxfj6zSGEt4B/mNkKYB/g\n/q5Kn4iI5BxwwAHceOON654//PDDrFmzhjVr1tC7d28WLVrElClTuP/++7nzzjt56KGH2HDDDXnl\nlVd4++23a5hyERFpRN017lT7mqthIYTn4/8vAMPi/8OBZ1LLPRtfW4+ZfcLMFpvZ4pdffrnrUioi\n0k09//zzHHTQQYwdO5ZddtmFP/zhD4wdO5a//e1vrFq1ildffZX+/fszduxYli1bBsCiRYs44IAD\neP755xk8eDAbbrghAIMHD2bLLbes5dfpcoo7IiKd05PiTs1uxR5CCGYWyljvauBqgHHjxmVeX0Sk\np7vppps47LDDOOecc1izZg1vvPEGffr0YY899uDPf/4zq1atYt9992X77bdn0aJFDBkyhBACW221\nFZttthkXXHABO+ywAxMnTuSEE05gwoQJ67Z98skn079/fwDefvttevVq/PsmKe6IiHROT4o71f70\nF81sC4D496X4+nPAVqnlRsTXRESkwvbee2+uvfZazjvvPJYtW8bGG28MwP7778+iRYtYtGgR48eP\nZ/z48eue77///oDPn1+yZAlXX301Q4YM4YQTTuC6665bt+0bb7yRpUuXsnTpUubOnVuLryciInWm\nJ8Wdaneu7gCa4//NwK9Tr59oZhua2bbA9sCDVU6biEiPcNBBB3HvvfcyfPhwTjvtNGbPng34/PdF\nixZx//33M378eEaPHs1jjz3WJsgB9O7dm4MPPpjzzz+fK664gttuu61WX0VERBpAT4o7XXkr9p/h\nN6TY0cyeNbOPAZcBk8zsSWBifE4I4VHgVuAxYB7wmRDCmq5Km4hIT/b0008zbNgwPv4Nk/sYAAAg\nAElEQVTxj3P66afz0EMPATB+/HgeeOABXn75ZYYOHYqZMWTIEH79619zwAEHAPDEE0/w5JNPrtvW\n0qVL2WabbWryPUREpDH0pLjTlXcLPKmdtw5tZ/mLgYu7Kj0iIuLuuecevvWtb9G3b18GDhy4bgRx\ns802Y8iQIYwZM2bdsuPHj+e+++5j9913B+D1119n2rRp/Oc//6FPnz6MGjWKq6++uibfQ0REGkNP\nijsWQuNemztu3LiQvre9iEh3tnz5ckaPHl3rZFRdoe9tZktCCOOqnRbFHRHpSRR3ckqNO41/GycR\nEREREZE6oM6ViIiIiIhIBahzJSIiIiIiUgHqXImIiIiIiFSAOlciIiIiIiIVoM6ViIiIiIhIBXTZ\n71yJiEjXOvPs/+GlV/5Vse0NHTyIK777rQ6X6d27N7vuuuu657/61a8YOXJkwWVXrlzJUUcdxSOP\nPFKxNIqISO0o7hSnzpWISIN66ZV/8fdhEyq3wRcXFl2kf//+LF26tHKfKSIiDUNxpzhNCxQRkU5Z\nuXIlBx54IHvuuSd77rknixYtWm+ZRx99lH322YexY8ey22678eSTTwJwww03rHv9jDPOYM2aNdVO\nvoiINJh6jjvqXImISMlWrVrF2LFjGTt2LB/4wAcAGDp0KPPnz+ehhx7illtuYfr06eut98Mf/pAZ\nM2awdOlSFi9ezIgRI1i+fDm33HIL9913H0uXLqV3797ceOON1f5KIiJSxxot7mhaoIiIlKzQ9Ix3\n3nmHM888c12g+tvf/rbeeuPHj+fiiy/m2Wef5dhjj2X77bfn7rvvZsmSJey9996AB9ChQ4dW5XuI\niEhjaLS4o86ViIh0yve+9z2GDRvGww8/zNq1a+nXr996y3zoQx9i33335Te/+Q1HHHEEP/rRjwgh\n0NzczKWXXlqDVIuISKOq57ijaYEiItIpr776KltssQW9evXi+uuvLzh//amnnuLd734306dPZ8qU\nKfz1r3/l0EMP5Re/+AUvvfQSAP/61794+umnq518ERFpMPUcd3TmSkSkQQ0dPKikOy1l2l4ZPv3p\nT3Pccccxe/ZsJk+ezEYbbbTeMrfeeivXX389ffv2ZfPNN+crX/kKgwYN4qKLLuJ973sfa9eupW/f\nvlx55ZVss802nf0qIiLSBRR3irMQQsU2Vm3jxo0LixcvrnUyRESqYvny5YwePbrWyai6Qt/bzJaE\nEMZVOy2KOyLSkyju5JQadzQtUEREREREpALUuRIREREREakAda5EREREREQqQJ0rERERERGRClDn\nSkREREREpALUuRIREREREakA/c6ViEiD+srnzuTVV16s2PY2GTyMS75zRbvvt7a2cuihhwLwwgsv\n0Lt3b4YMGQLAgw8+yAYbbFCxtIiISP1R3ClOnSsRkQb16isv8sXtHq/Y9r7x947fb2pqYunSpQCc\nd955DBw4kM9//vNtlgkhEEKgVy9NjBAR6W4Ud4qrj1SIiEjDWrFiBTvvvDMnn3wyY8aM4ZlnnmHT\nTTdd9/7NN9/M6aefDsCLL77Isccey7hx49hnn3144IEHapVsERFpUPUcd3TmSkREOu3xxx9n9uzZ\njBs3jtWrV7e73PTp0/nCF77Afvvtx8qVKznqqKN45JFHqphSERHpDuo17qhzJSIinbbddtsxbty4\nosstWLCAJ554Yt3zf//736xatYr+/ft3ZfJERKSbqde4o86ViIh02kYbbbTu/169ehFCWPf8zTff\nXPd/CKFuL0IWEZHGUa9xR9dciYhIRfXq1YvNNtuMJ598krVr13L77beve2/ixIlceeWV654nFyqL\niIiUq57ijs5ciYg0qE0GDyt6p6Ws26uUb3zjGxx22GEMHTqUvfbai7feeguAK6+8kk996lNce+21\nrF69mkMOOaRN0BMRkfqluFOcpU+hNZpx48aFxYsX1zoZIiJVsXz5ckaPHl3rZFRdoe9tZktCCMUn\n21eY4o6INIrW1lbOP/98zj33XJqamsrahuJOTqlxpybTAs1shpk9YmaPmtln42uDzGy+mT0Z/25W\ni7SJiIiIiDS6WbNmsWzZMmbPnl3rpPQoVe9cmdkuwMeBfYDdgaPMbBTwJeDuEML2wN3xuYiIiIiI\nZNDa2sq8efMIITBv3jxaW1trnaQeoxbXXI0G/hRCeAPAzBYCxwJTgIPjMrOAe4AvdkUCWlpaWLhw\nIQDDhw9n1KhRTJs2rSs+SkSkokIImFmtk1E1jTx1XUSkVmbNmsXatWsBWLNmDbNnz+ass84qa1uK\nO9nUYlrgI8CBZtZkZgOAI4CtgGEhhOfjMi8ABa9wM7NPmNliM1v88ssvl52IVatWsWrVqrLXFxGp\ntn79+tHa2tpjOhwhBFpbW+nXr19N01GpuCMiUi0LFixY98O6q1evZv78+WVtR3Enu6qfuQohLDez\nbwC/A/4LLAXW5C0TzKzgUQwhXA1cDX5hcTlpmDZtGitWrABg5syZ5WxCRKTqRowYwbPPPktPauD3\n69ePESNG1DQNlYg7IiLVNHHiRObOncvq1avp06cPkyZNKms7ijvZ1eRW7CGEa4BrAMzsEuBZ4EUz\n2yKE8LyZbQG8VIu0iYjUq759+7LtttvWOhkiIlLnmpubmTdvHgC9e/fm1FNPLWs7ijvZ1epugUPj\n363x661uAu4AmuMizcCva5E2EREREZFG1tTUxOTJkzEzJk+eXPat2CW7Wv2I8G1m1gS8A3wmhPAf\nM7sMuNXMPgY8DRxfo7SJiIiIiDS05uZmVq5cWfZZKylPraYFHljgtVbg0BokR0RERESkW2lqauLy\nyy+vdTJ6nJpMCxQREREREelu1LkSERERERGpAHWuREREREREKkCdKxERERERkQpQ50pERERERKQC\n1LkSERERERGpAHWuREREREREKkCdKxERERERkQpQ50pERERERKQC1LkSERERERGpgD61TkAltLS0\nsHDhQgAmTJjAtGnTapwiERERERGppnroE3SbM1erVq1i1apVtU6GSENrbW1l+vTptLa21jopIiIi\nNaFY2Nhq3SfoFp2radOmMWrUKEaNGqWzViKdMGvWLJYtW8bs2bNrnRQREZGaUCxsXPXQJ+gWnSsR\n6bzW1lbmzZtHCIF58+ZpxE5ERHocxULpLHWuGlhLSwtTp05l6tSptLS01Do50uBmzZrF2rVrAViz\nZo1G7EREpMfpqbEw3aacMWOG2pWdoM5Vg6v1vFLpPhYsWMDq1asBWL16NfPnz69xikRERKqrJ8dC\ntSkro1vcLbCnmjZtGitWrFj3v0hnTJw4kblz57J69Wr69OnDpEmTap0kERGRquqpsTDdppw5c2aN\nU9PYdOZKRABobm6mVy+vEnr37s2pp55a4xSJiIhUl2KhdJY6VyICQFNTE5MnT8bMmDx5Mk1NTbVO\nkoiISFUpFkpnaVqgiKzT3NzMypUrNVInIiI9lmKhdIY6VyKyTlNTE5dffnmtkyEiIlIzioXSGZoW\nKCIiIiIiUgE6c1WilpYWFi5cCMCECROK3p0v6/L1qKWlhRUrVvDcc88Bjfs9RGR93aGOEmkkKnNS\nTcpvpemK/aQzVxlkvf9/d/m9gKzfo7W1lenTp+tXzYvQfpJa6y51lEijUJmTalJ+K02l95POXJUo\n629KdYffoErSPWPGjDbPi5k1axbLli1j9uzZnHXWWV2Wvkan/SS11B3qKJFGojIn1aT8Vpqu2E86\ncyUV1drayrx58wghMG/ePJ2VaYf2k4iIiEj3ozNXUlGzZs1i7dq1AKxZs0ZnZdqh/STS2HQ9g1RS\nOj8NHz6cUaNGKU9ViMqqVJvOXElFLViwgNWrVwOwevVq5s+fX+MU1SftJ5HGp+sZpJKUn7qO9q1U\nk85cSUVNnDiRuXPnsnr1avr06cOkSZNqnaS6pP0k0th0PYNUUjo/zZw5s8ap6V5UVqXadOZKKqq5\nuZlevTxb9e7dW79u3g7tJxEREZHuR50rqaimpiYmT56MmTF58mSamppqnaS6pP0kIiIiPUlLSwtT\np05l6tSptLS01Do5XUadK6m4Y445hgEDBnD00UfXOil1rbm5mV133VVnreqAfnNMRESk6/WE699q\n0rkys7PM7FEze8TMfmZm/cxskJnNN7Mn49/NapE26bw77riDN954gzlz5tQ6KXWtqamJyy+/XGet\n6kD6N8dERESk8qZNm8aoUaO6/d0wq965MrPhwHRgXAhhF6A3cCLwJeDuEML2wN3xuTQY/X6TNBrl\nWREREamUWk0L7AP0N7M+wADgf4EpwKz4/izg/TVKm3RCod9vEqlnyrMija2nXMchUk9aWlqYMWOG\nyl4BVe9chRCeA74N/BN4Hng1hPA7YFgI4fm42AvAsELrm9knzGyxmS1++eWXq5JmKZ1+v0kajfKs\nFKO4U/96wnUcIvVIZW99tZgWuBl+lmpbYEtgIzP7cHqZEEIAQqH1QwhXhxDGhRDGDRkypMvTK9lM\nnDiRPn3859P0+03SCJRnpRjFnfrWU67jEKkn06ZNY+bMmSp7BdRiWuBE4B8hhJdDCO8AvwT2B140\nsy0A4t+XapA26ST9fpM0GuVZERERqZRadK7+CexnZgPMzIBDgeXAHUBzXKYZ+HUN0iadVI+/39RT\n5+P31O+dVT3mWRHpOqobRaQr9an2B4YQ/mRmvwAeAlYDfwGuBgYCt5rZx4CngeOrnTapjObmZlau\nXFlXZwB66nzgnvq9s6rHPCsiXUd1o0hOS0sLK1asYMWKFQDMmDEDQNP9ylT1zhVACOFc4Ny8l9/C\nz2JJg0t+v6leTJs2bV2F0ZMqiZ76vctRb3lWRLqO6kaRtlasWMHSR5YTenm3YMlTL9L7jX/VOFWN\nqyadq1pS71xEREREJGfNgEGs2umIdc/7Pz63hqlpbD2uc1WvvfOk0/fcc88BMGHCBHX2pNtpaWlh\n4cKFgPK4iIiIdD89rnMF9d071zxw6e6Ux0VERKS76pGdq3qUjOAn0xQ1oi/dka51EBERke6sFrdi\nFxERERER6XZ05kpEuhVd1yVSP1QepSPp/DF8+PC6uLlYOWlSPpc0nbkSkW5n1apVurZLuoXW1lam\nT59Oa2trrZNSNpVH6Ug95o9y0lSP30NqQ2euRKRb0XVd0p3MmjWLZcuWMXv2bM4666xaJyczlUfp\nSDp/zJw5s8apceWkSflc0nTmSkREpA61trYyb948QgjMmzevoc9eiYj0FA1/5qrQjwLXw5xdERGR\nzpg1axZr164FYM2aNQ179krqg64LkkpJ2t6A2t8FNPyZq+RHgV97O/Da24Gljyxfd6BFRKSxdIdr\njCplwYIFrF69GoDVq1czf/78GqdIGp2uC5JKSNreS556Ue3vAhq+cwX+o8D/HXsi/x17ImsGDKp1\nckREpEzpa4x6uokTJ9Knj08w6dOnD5MmTapxiqSRTZs2jVGjRunsglTEmgGDWLXTEWp/F9AtOlci\nItL4dI1RW83NzfTq5WG6d+/enHrqqTVOkYiIFNPw11yJ9ATJ/ObnnnsO6Dnz5Xvq924UlT4+usao\nraamJiZPnsycOXOYPHkyTU1NtU6SSE11l5ig699KU4+/g1YKnbkSaSA9db58d/je3flaokodH11j\ntL7m5mZ23XVXnbUSSekOMaE7fIdqaMT9pDNXIg0gGamZMWNGm+fdXXf63o3+e0WFVPr4TJw4kblz\n57J69WpdYxQ1NTVx+eWX1zoZInWhu8QE/S5Waerxd9BKoTNXIiJdTNcSlUbXGImISKNT50pEpIsV\nupZI1pdcY2RmusZIpAG1tLQwdepUpk6dSktLS62TI1IT6lyJiHQxXUtUOl1jJNLYGvEaGZFKUudK\nRKSL6feKSpdcY6SzViKNR7+lJaLOlYhIl9O1RCIiIj2D7hYoItLF9HtFIiJSru7y+149hc5ciYhU\nQdZribrz72JJ6ZQPRCSh69kag85cFZGMFgDr/s6YMUPziUUkk6y/V9QdfxdLslM+EJHu8vtePYXO\nXBWxYsUKlj6ynCVPvchrbwdeezuw9JHl6zpaIiKVpt/FElA+EBFpRA1/5uq5556j9xuv0v/xuQD0\nfqOV555bXdHPWDNgEKt2OmLd8+SzpPNaWlpYuHAhAMOHD9cZQREK/y6Wzlr0PMoH9UHXu4hIFjpz\nJTWnOcQibXWn38XSNUPl6075oDtQrBKRUjT8mavhw4fzwlt91p1Z6v/4XIYPH9bu8vlnuqBrznZJ\naaZNm7ZuiuXMmTNrnBqR+jBx4kTmzJlDCAEza+jfxdI1Q+WbOHEic+fOZfXq1fp9tBrS9S4ikoXO\nXImI1JljjjmGEAIAIQSOPvroGqeoPLpmqHP0+2giIo2n4c9cZZV/pguKn+2qN+XewbAa1zelP0Pz\n0rs/He+ucccdd2Bm685czZkzpyHP+uiaoZxyykrW30fL+hnlxASVeRGRjvW4zlV3kNzBcM2AQfR6\n20e3lz6yvKR1qzFfXHPSexYd78pbsGBBmzNX8+fPb8hOSaFrhhrxe1RKOWWlubmZlStXlnzWKutn\nlJMmlXkRySo5MZA+KQB0yxuZVb1zZWY7ArekXno38HVgdnx9JLASOD6E8O9qp68Ssmagcs5ElXMH\nw2pc35T+jO5WWGR9Ot5do7tcc6VrhnLKLStZfh8t62eUExNU5kWkHMmJgdDLux5LnnqR3m/8q8ap\n6hpV71yFEJ4AxgKYWW/gOeB24EvA3SGEy8zsS/H5F6udvkrImoE6cyZKRLqfY445hjvuuANo7Guu\nmpubmTdvHqBrhkREerqe8tNGtZ4WeCjw9xDC02Y2BTg4vj4LuIc66FyVe3fBrBmop2Q4cfp9r54l\n63Uq5VxzVY/XwmS9ZkhERKQc5d6PoCvU+m6BJwI/i/8PCyE8H/9/ASh4hwkz+4SZLTazxS+//HI1\n0ijSJfSbKT1LluNd6JqrSn9GtTQ3N7Prrrs29FkrxR0RkfqWzAJb8tSLvPZ24LW3A0sfWb6uo1VN\nNTtzZWYbAMcAX85/L4QQzCwUWi+EcDVwNcC4ceMKLlNJ3eHuglJ/9PtePUvW61TKuVapXq+FyXLN\nUL2qdtwREZHs6mUWWC3PXB0OPBRCeDE+f9HMtgCIf1+qWcpERGpIv28kIiLSmGp5zdVJ5KYEAtwB\nNAOXxb+/rkWipP7V47Ul9ZgmaVy6VklEuruedGvuaiu0b7Vfq6cmnSsz2wiYBJyRevky4FYz+xjw\nNHB8LdImjaHeriuB+kyTNK6sv28kItJIetKtuastf9/qDtTVVZPOVQjhv0BT3mut+N0DRTpUj9eW\n1GOapLF1h2uVREQ6Ui/XyHRH6X3biPu1kc9s1vpW7CIiIiIiUkA93WK8mhr5zKY6V9KtNfLIR7Xp\nt7dKp2vsRKTWVA/1DEknY82AQfR6229W2lOm+TXqmU11rqSg7jJS0sgjH51RbqdS142VTvtKRGpN\n9VDP0KidjJ5KnSspqDuNlDR6pVROR7ecTqV+e6t0usZORGpN9ZBIfVLnqoco50xGo3dKuotyO7o6\nfiIiIiLVpc5VD9FTp8d1F+oolUa/7SEiIgnFBOlIV12Xr85VD6IGunR3+m0PERFJKCZIR7rqxIM6\nVyLSrTT6b3uISM+iu9p2LcUE6UhXnHhQ50pERESkC3U0PU3T9kW6F3WuRKQu/f/27jxOjqrc//jn\nyQRCgIRlgIBhEwIIshMRBS8ICYRF4aogXjWDgriGsLggbiAKuKCQKCjikogKuLCEG6MJIu76Q0Ej\nisJVuBpBMKigeMFJzu+P51S6pqenu6qml+ru7/v1mtfMdNdyqurUec45daqqV14H0M/0Hh4Rd999\n93Hv3XcyaYI/lOjeu+8c8b2G7Yv0jr5sXA088Sgb3XUtAGs3mBp7iKZ1NlFSOqtXr+aCCy7gPe95\nD4ODg51OTt/ppdcB9DO9h0fEbb/xGs7b/zEALvrZ1A6nRmrREE1php5oXKUbS7Z2mHoNpRkzZgCV\nnvAZO00Dpq37XCSxaNEiVq5cyeLFiznrrLM6nZy+pN7c7qb38IhIN2nHEE014Hpf1zeuRjWWZuxe\nt6GUZNwkM+tlqVLL6tWrWbZsGSEEli1bxty5c3X1SkSky6liK420ulNP99j1vq5vXKmxJK2waNEi\n1q5dC8CaNWt09aqHpe8Lmj59uipZUgpJI2DVqlVA5+9Z65V7IFWxzS5PHuyV/JFX0e3WqIze1vWN\nK5FWWLFiBcPDwwAMDw+zfPlyNa56mO4LkrIqS94scg9kWa8SdXvFtt0NmSx5sF/vke3X7Zb61LgS\nqWHWrFksWbKEEAJmxuzZszudJGmR9H1BuvItZVE9KqMMvf95GyW6StQa7arQ582D3d5oLapft1vG\npsaVSA0vfOELufnmmwEIIfCCF7ygwykSEek+qni2hvarSHmpcdUCq1atYuCJv48o7AaeWM2qVcMd\nTFX3a+dQiJtvvhkzW3flasmSJWMOC6z3ckgREWmNdsSEfr2XSKTbFKl7t6q+rsaVNE2rGxntHNu8\nYsUKQvB1hBDq3nNVPfRF461FRFqvHTFB99SISF5qXLXA9OnTeejJiaMu2U+f3tsvKs7byChys3O7\nhkLMmjWLpUuXMjw8zMSJExvec5VOl4ZniIi0RztigobglYOuIpZHO64S5Z2+SN27VfV1Na6kqfI0\nMsp8s/PQ0BDLli0DYGBggLlz53Y4RSIiIv1LVxGlW6hxVQKtbs2XWVl7BAcHB5kzZw5Llixhzpw5\nTX2BcFkfTyzdSb25Arr3U+rrlbhT1jpDv2nHVaJuHgWmxpXIGIaGhrj//vubftWqzFfsWqlXgnvZ\nqDdXQPd+Sn39GndEOkGNqxJoR2u+l652tcvg4CALFixoybL7sfdNwb11+jE/yWi691PqUTkhY1Ed\nsbnUuBKRtlFwFxERkV6mxlWf6OaxqyIi0lxlHaabpGvVqlUAHHrooRo2LNJiqiM2lxpXIlLaipaI\ntEbZh+n+61//6nQSREQKUeMqg4EnHmXyPUuZ8H+PAWBrh4Hebs1r/G1/KXtFS0Sar4zDdJPOnKSD\nR507ItJt1LhqYMaMGev+vu++x+Nnu4/4XKQXlLGiJSIiItJN+rJxlX4vTKN3gaQ/T3rSLr/88tYn\nssP6efytxvxLr9MwUBGpR+/PkzIYeOJRNrrrWgDWbjA1jqgpfz20LxtXAJMnT+50EqTkNOZ/bAq8\n3U3DQEWkHr0/TzotGSGW1DFm7DQNmNYVI8c60rgys02Bq4E9gQC8GvgNcB2wI3A/cFII4a+tWP+8\nefNUAWyB6vu0uvUeLY35b6xfA28vNSo1DFRE6lEZ0b16oT5WXRfrplFjnbpydTmwLITwEjNbH9gQ\nOA+4NYRwiZmdC5wLvK1D6RORBvox8PZro1IqHn744XXBvtsb2CIi0nxtb1yZ2SbAfwCnAIQQngKe\nMrPjgcPiZIuAb6PGVVepvk+r0T1aeZ9IWOQJhnrqoTRbPzYq22XhwoXcfvvtgJcnZWywPPnkk7kb\n2HnvceulK6R59Ot2izRb3vqYNFcnrlw9HXgE+KyZ7QP8FJgPTAshPBineYgx7lgzs9OB0wG23377\n1qdWRETaptP3OprZdsDJIYQPpT5bF3emTJmSu4Gd9x63fr1C2q/bLSK9pW7jyswmhhCa3cU/Edgf\nmBdC+LGZXY4PAVwnhBDMLNSaOYRwFXAVwMyZM2tOI90h7xMJizzBsJ+feijSSq24yjBv3rx1y2rn\n+Hoz2xI4EXgZ8DTghvT36bgzbdq0QnEnb4OsX6+Q9ut2i4xFI3C6T6MrVz/BG0KY2cIQQjOuy/8R\n+GMI4cfx/6/gjas/m9k2IYQHzWwb4OEmrEtERFrgvvvu496772T7jdew/r8nAHDv3Xd2OFXZmdkU\n4EXAfwG7Al8Dnh5C2LajCRMRka7WqHFlqb8PbsYKQwgPmdkfzGy3EMJvgCOAX8WfIeCS+PumZqxP\nRERaY/uN13De/o+t+/+in03tYGpyexjvQHwn8L04YuI/O5wmEZERNAKn+zRqXLVq2N084AvxSYG/\nA14FTACuN7NTgQeAk7IuLD08ZeHChbrxVQo77bTTePBBv/Uvuffj2GOPZZtttuHqq6/uZNKkS+mF\nvaX1duBk4ArgS2Z2XYfTIyJNlveR5HrQljRDo8bVM8zsF/gVrJ3j3+uEEPYustIQwl3AzBpfHVFk\neaCXAktz/O1vf+Mf/3wCBiau61r4xz+f4G9/+1tnEyZdSy/sLacQwmXAZWa2E97IuhF4mpm9Fbgx\nhPDbjiZQRES6UqPG1T74U/v+UPX5dvgT/UpBLwWWZtHld2kF3aRfPmY2A39K7feBi4CLzGwv/D2M\nFwMDnUyfiIxU5IpP3keS60Fb0gwTGnz/UeDvIYQH0j/A3+N3IiIi3egy4LH0ByGElcCZwNc7kiIR\nEel6ja5cTYvBZoQQwkoz27ElKRLpMr0wprsdaRIpmbHi2y/MbIdOJEikVcoYE/LOoys+5TLwxKNM\nvmcpE/7P+6hs7TBjvKK2sPQzFbrpheKNGleb1vlONznJuA088Sgb3XUtAGs3mBrvRVFBKSItp/gm\nIlLAjBkz1v19332Px892H/F5s3TjMxUaNa7uMLPXhBA+lf7QzE4Dftq6ZEk/SE7CpFdixk7TgGkt\nOTlbqRfGdLcjTbraJSWj+CZdqRn3HkHnY4KuRHWv9NWj5Am4rXjxe7c+U6FR4+pM4AYzezmVYDMT\nWB/Q+0BkXJITppUnpojIGBTfRESiXhhJ1I6hilnUbVyFEP4MPNfMng/sGT/+7xDCt1qeMhHpKXl7\nKZsxhr9br4wtXLiQ22+/HfD91i3jzLuJ4lv3K+P9qPXW+8/HB9a9aPuBxwfYaNWqQuvQFR9ptl4Y\nSdTOoYqNNLpyBUAI4TbgthanRUSkrcr4gt+kYfXoo/4urH/961+sipUwNbCaT6ZkOEIAACAASURB\nVPFNRPpdL4wkatdQxSwyNa5ERNqtGWP4G01fxhf83nfffTzy18cIAxsA8PcJU/jHXx9d1wAUEVfG\n+1HrrffJ4Qc5b38frnTRz6Yyafr0pq5DRMpBjSsR6WtlfMFvGdMkIiIijalxJVKlHTdE9sKNoyLN\nVMYhmt2kH9+3JyJSRmpclYQq9OXQjhsie+HGUZFmK+MQTRERkbzUuCoBVehbK0+jsh03RPbCjaO9\nQj3l5aLhkMX14/v2RETKSI2rElCFvnX6uVEpIiKj9cIojrK8z0fKK53PlT/aS40r6Sp5A0q/Niol\nm068e6vRPLqaJsoDrdMLHW5lep+PlNOofK780VZqXEnXUEDJpxd6Z0VEmqkXOtzK9D6fXtQLsbMX\n8nk3U+NKuoYCSna90DtbRmW870RXOXqP7j0S6QzFTmkGNa5EmqBsY5vVayUiImVXtqtEip3SDGpc\niYxTr4xtLluQk2yKXOXQ1S6R7PTwiNbo56tEire9TY0raaqyXcFph17o6ernICetUeulwHohcHfr\nx0aG7vVtnV6InUUUibf9eO51MzWuWqQfeyV65QpOP+rXINev2nFPT/VLge/65a+btmxpv35tZOhe\nX2m2vPG2l869fqkbq3HVAv16FUAVdBFJS78UWC8E7m5qZIh0Rq+ce/1UN1bjKqNkiEvyd72hLWVt\nZKS3QUN0REREpNf14+0KZVTWunErqHGVw+TJkzudhHHrhW0QERERaUS3K0gnqHGV0bx587r+Kk/e\nbdANlNJpyoPSr5T3pdN6IQ/209USKQ81rqSmXrqBUrqT8qD0K+V96TTlQZHi1LjqUq3uUeqVGyiL\nqH6EdKN77PqV8mB/W7VqFf98fICLfjZ13WcPPD7ARqtWdTBV5ZT3vWLK+9JpyoPSL1rxBEM1rrqQ\nepTaQ/enjU15UERERLpZq55gqMZVF1KPUmvpKlVj/ZwHe+E+hGaYPn06Tw4/yHn7P7bus4t+NpVJ\n06d3MFXl1I73ikn5/e8/Bpj/vU0BeHKtsUub198v7xgSyapV9+SpcSUiklHRK3aq1Ij0t+oe8l1m\nzGjrlf5+eseQSKepcSUiklGRK3aq1Ihk16tXhjv91LpOr196j+5PH5saVyIiLaRKjZRV2a6o6l5O\nke6j+9NH60jjyszuBx4H1gDDIYSZZrY5cB2wI3A/cFII4a+dSJ9I2fRqb65It3nqqacYeGJ15if/\nlVUZr6j2872cIt1GV6nG1skrV88PIfwl9f+5wK0hhEvM7Nz4/9s6kzSR8lBvrog0m66olkvZriKK\nSHFlGhZ4PHBY/HsR8G3UuOp5yZhd8CA/Y8YM9YZUUW+uSHmsv/76rNlwUE/+k6Yp41VEyU4jS6Ra\npxpXAVhhZmuAT4YQrgKmhRAejN8/xBg508xOB04H2H777duRVmmxSZMm8dhjj/Hvf/+700kRERkl\nHXemTJnS4dRIr9FVxO6lkSVSS6caV4eEEFaZ2VbAcjO7J/1lCCGYWag1Y2yIXQUwc+bMmtNI95g3\nbx7//ve/WbJkCbvssouuWvU4DX2RbpSOO9OmTVPcERFAI0ukto40rkIIq+Lvh83sBuBA4M9mtk0I\n4UEz2wZ4uBNpk/ZavXo1y5YtI4TAsmXLmDt3LoODg51OlrSAhr5kp0aoiMhoGoIn3aDtjSsz2wiY\nEEJ4PP59JPBe4GZgCLgk/r6p3WmT9lu0aBFr164FYM2aNSxevJizzjqrw6nKL33vmN71UJuGvmTT\nK43QVatWMfDE39c9Va8bn6gnIuWhIXjSLTpx5WoacIOZJev/YghhmZn9P+B6MzsVeAA4qQNpkzZb\nsWIFw8Ne4RoeHmb58uVd2bgCvetBmkONUBGR0TQET7pF2xtXIYTfAfvU+Hw1cES70yOdNWvWLJYu\nXcrw8DATJ05k9uzZnU5SIfPmzdPVKpGU6dOn89CTE9c9VU9P1BMRkX5QpkexSx8aGhpi2bJlAAwM\nDDB37twOp0j6je5vEmkdnV8i0m/UuJKOGhwcZM6cOSxZsoQ5c+b0zcMs9H6vcuiV+5t6QfU9WqD7\ntLqdzi8R6UdqXEnHDQ0Ncf/99/fdVSvdo9Ua6Z7yRk+S0v1NIq2j80tE+pEaV9Jxg4ODLFiwoNPJ\naCvdo9Uao3rK9SSplvrffwxw0c+m8ucnJgDw5Fpjl4LLqr5HC3SfloiIdB81rkSkZ6invH3Sjdan\nYmN2lxkz1JgVEZG+psaViAC6D0zy0WORpRWSckjvDRSp0HnRXSZ0OgHNsnr1as444wxWr17d6aSI\ndK3JkyfrXrAuNPDEo0y+Zykb3XUtG911bXwim0j3UlkkMprOi+7QM1euFi1axMqVK1m8eHHXvoRW\npJN0H1h3Sg/Du+++x+NnutdMupPKIJHRdF50l55oXK1evZply5YRQmDZsmXMnTu3bx7pLSL9TcPz\nREREyqMnhgUuWrSItWvXArBmzRoWL17c4RT1r/S44IULF3Y6OdJi/Xq88253v+4naa/kNQQaGlpO\n9cqB9Hfz589vSTmhcqh1tG+7VyuOXU80rlasWMHwsL9ocnh4mOXLl3c4Rf1NY4L7S78e77zb3a/7\nSdpjxowZ7Lvn7kxZ35iyvrHvnhoaWkb1yoF2lBEqh1pH+7Z7NfvY9cSwwFmzZrF06VKGh4eZOHEi\ns2fP7nSS+pbu2+kv/Xq88253v+6nXpU8QGTC/z0GNH5ZdTvoNQTlV68caEcZ0ep1lPG8aBeV8d2r\nFceuJxpXQ0NDLFu2DICBgQHmzp3b4RSJiEgvmjRpEvvuuTugB4iIJPRgHZGKnmhcDQ4OMmfOHJYs\nWcKcOXP0MAsREWmJrbbaat1VIV0lEnF6sI6URfqdnZ16H1hP3HMFfvVqr7320lUraRq9O01ERESk\nc4rUxTp9/1tPXLkCv3q1YMGCTidDeojenSYyPsnT66C/7r+Q9unn+3xE+kHeulgZ7n/rmStXIs1U\n/e40Xb0SyUdPr5NWS/LYATtNUz4T6UHdWhfrmStXZZN3zGf6OftZ55HWqfXuNF29kl6Svqq0doOp\n8b1IzevxL/L0ulanScavDPczJIre51OmbRiPXtkOkbF0a11MV65aqMiYz06PExWnd6dJL6u+qnTA\nTtM63uNfxjRJbb0Qp3phG6B3tkOklm6ti+nKVYsUeQ+OlIfenSa9rIzvRCpjmmS0MtzPMF69sA3Q\nO9shMpZurYvpypVIDUNDQ0yY4KeH3p0mIiIi0l7dWhdT40q6Tvr+tIULF7ZkHcm708xM707roIUL\nFzJ//vyWH2+RVkvuJ9vormuZfM/SeD9Zc7WjbMyrjGmSbFT+Sqd1a11MwwKlK7VjjPnQ0BD3339/\n1/SU9DLdUyDdLLlvLHn4wIydpgHTWnI/WRnPlTKmSbLT8ZNO6sa6mBpX0nXaNc5c707rPN1PIL2g\nXfeTlfEenDKmSbLRcZMy6Ma6mIYFioiIiIiINIEaVyLS19L3hMyfP79r7yvIe2+L7oUZn1bvP93v\nItIZ7YgJ/Vr+9st2a1igiPS9XrmnoMh79aS4duw/HSOR9tO53Tr9sN1qXIlIX+uVe0KKvFuvF7a7\nU1q9/3RsRDqjHWVjv5a//bLdGhYoIiIiIiLSBGpciYiUTK/cByYiItJv+rZxtXr1as444wxWr17d\n6aSIiIwyefLkvhibLiLFqS4jUj4du+fKzAaAO4BVIYTjzGxz4DpgR+B+4KQQwl9btf5FixaxcuVK\nFi9ezFlnndWq1YiI5NYv49JFZHxUlxEpn05euZoP/Dr1/7nArSGEXYBb4/8tsXr1apYtW0YIgWXL\nlqnHR0RERLqK6jIi5dSRxpWZbQscC1yd+vh4YFH8exFwQqvWv2jRItauXQvAmjVrWLx4catW1dX0\nnpXy0LEQEZE01WVEyqlTV64uA94KrE19Ni2E8GD8+yFgWq0Zzex0M7vDzO545JFHCq18xYoVDA8P\nAzA8PMzy5csLLadf6N6P1igyVl7HQqT9mhF3RJpNdRmRcmr7PVdmdhzwcAjhp2Z2WK1pQgjBzMIY\n310FXAUwc+bMmtM0MmvWLJYuXcrw8DATJ05k9uzZRRbT83TPR2vlGSuvYyHSOc2IOyLNprqMSDl1\n4srVwcALzex+4FrgcDO7BvizmW0DEH8/3KoEDA0NMWGCb/rAwABz585t1apEatJYeRERGQ/VZUTK\nqe2NqxDC20MI24YQdgROBr4VQngFcDMwFCcbAm5qVRoGBweZM2cOZsacOXMYHBxs1apEaurXsfLp\n9zfpvjGppvd7tZf2dzZlvedVdRmpR/G2c8r0nqtLgNlmdi8wK/7fMkNDQ+y1117q6elS3f5uj34e\nK6/7xqQe5Y+RWl3WaX9nV8Z9pbqM1FPGPNsPOvaeK4AQwreBb8e/VwNHtGvdg4ODLFiwoF2rkybr\n9nd79OtYeb2/SepR/hitlWWd9nc2Zd5HqsvIWHR+d06ZrlyJZNIL9ytprLyINNILZZ2ISL9R40q6\nTt77lco47rgdY+XLuN0ikl2/3psp3Stv3GnHfX+KhdJualxJ1ylyv1IZxx23Y6x8GbdbRLLp53sz\npXvljTvtiFOKhdJOHb3nSqSIvPcrlXXccavHypd1u0Ukm369N1O6V9640444pVgo7aYrV9J1dL+S\niPQDlXUiIt1HjSvpOnq3h0g5lPX9P71CZV02uqdGRMpEwwKlKw0NDXH//ferJ1ekBHQvQ+uorMtG\neVBEykKNK+lKereHSOfpPobWU1nXmO6pEZEy0bBAERERERGRJlDjqotpnLmIiIj0C93nKd1AwwK7\nnMaZi4iISD9R3UfKTI2rLqZx5iIiItIvVOeRbqBhgSIiIiIiIk2gxpWIiLSE7gut0L4QEekPGhYo\nIiIto3sjKrQvRER6nxpXIiLSErovtEL7QkSkP2hYoIiIiIiISBOocSUiIiIiItIEalyJiIiIiIg0\ngRpXIiIiIiIiTaDGlYiIiIiISBOocSUiPUXvExIREcknHTvnz5+v+DkOehS7iPQcvU9IREQkH8XO\n5rAQQqfTUNjMmTPDHXfc0elkiIhIm5nZT0MIM9u9XsUdEZH+lDXuaFigiIiIiIhIE6hxJSIiIiIi\n0gRqXImIiIiIiDSBGlciIiIiIiJNoMaViIiIiIhIE6hxJSIiIiIi0gRqXImIiIiIiDRB2xtXZraB\nmf3EzH5uZneb2QXx883NbLmZ3Rt/b9butImIiIiIiBTViStXTwKHhxD2AfYF5pjZQcC5wK0hhF2A\nW+P/IiIiIiIiXaHtjavg/hH/XS/+BOB4YFH8fBFwQrvTJiIiIiIiUlRH7rkyswEzuwt4GFgeQvgx\nMC2E8GCc5CFgWifSJiIiIiIiUkRHGlchhDUhhH2BbYEDzWzPqu8DfjVrFDM73czuMLM7HnnkkTak\nVkRE+pnijoiIZNXRpwWGEP4G3AbMAf5sZtsAxN8PjzHPVSGEmSGEmVtuuWX7EisiIn1JcUdERLLq\nxNMCtzSzTePfk4HZwD3AzcBQnGwIuKndaRMRERERESlqYgfWuQ2wyMwG8Mbd9SGEW8zsh8D1ZnYq\n8ABwUgfSJiIiIiIiUkjbG1chhF8A+9X4fDVwRLvTIyIiIiIi0gwdvedKRERERESkV6hxJSIiIiIi\n0gRqXImIiIiIiDSBGlciIiIiIiJNoMaViIiIiIhIE6hxJSIiIiIi0gRqXImIiIiIiDSBGlciIiIi\nIiJNoMaViIiIiIhIE6hxJSIiIiIi0gRqXImIiIiIiDSBGlciIiIiIiJNoMaViIiIiIhIE6hxJSIi\nIiIi0gRqXImIiIiIiDSBGlciIiIiIiJNoMaViIiIiIhIE6hxJSIiIiIi0gRqXImIiIiIiDSBGlci\nIiIiIiJNoMaViIiIiIhIE6hxJSIiIiIi0gRqXImIiIiIiDSBGlciIiIiIiJNoMaViIiIiIhIE6hx\nJSIiIiIi0gRqXImIiIiIiDSBGlciIiIiIiJNoMaViIiIiIhIE6hxJSIiIiIi0gRqXImIiIiIiDSB\nGlciIiIiIiJN0PbGlZltZ2a3mdmvzOxuM5sfP9/czJab2b3x92btTpuIiIiIiEhRnbhyNQycE0LY\nAzgIeKOZ7QGcC9waQtgFuDX+LyIiIiIi0hXa3rgKITwYQvhZ/Ptx4NfAdOB4YFGcbBFwQrvTJiIi\nIiIiUlRH77kysx2B/YAfA9NCCA/Grx4Cpo0xz+lmdoeZ3fHII4+0JZ0iItK/FHdERCSrjjWuzGxj\n4KvAmSGEx9LfhRACEGrNF0K4KoQwM4Qwc8stt2xDSkVEpJ8p7oiISFYdaVyZ2Xp4w+oLIYSvxY//\nbGbbxO+3AR7uRNpERERERESK6MTTAg34NPDrEMJHUl/dDAzFv4eAm9qdNhERERERkaImdmCdBwOv\nBFaa2V3xs/OAS4DrzexU4AHgpA6kTUREREREpJC2N65CCN8DbIyvj2hnWkRERERERJqlo08LFBER\nERER6RVqXImIiIiIiDSBGlciIiIiIiJNoMaViIiIiIhIE6hxJSIiIiIi0gRqXImIiIiIiDSBGlci\nIiIiIiJNoMaViIiIiIhIE6hxJSIiIiIi0gRqXImIiIiIiDSBGlciIiIiIiJNoMaViIiIiIhIE6hx\nJSIiIiIi0gRqXImIiIiIiDSBhRA6nYbCzOwR4IExvt4C+EuOxbV6+naso4xpasc6lKbyrENpKs86\nej1NO4QQtsy5rHGrE3d6fX930zrKmKZ2rENpKs86lKbyrKP9cSeE0JM/wB1lmr5f09Sv213GNPXr\ndpcxTf263e1IU6d++nV/l3EdZUxTv253GdPUr9tdxjT1ynZX/2hYoIiIiIiISBOocSUiIiIiItIE\nvdy4uqpk07djHWVMUzvWoTSVZx1KU3nW0a9p6pR+3d9lXEcZ09SOdShN5VmH0lSedbQ97nT1Ay1E\nRERERETKopevXImIiIiIiLSNGlcikpmZqcwQkZ6mck5ExqMvChAzm9zpNIyHmW3ehnVYq9eRh5lt\n0ek0NEvZ9m0RZrYbQAhhbcbpDzGz57Q2VVJGrcjvyTJ74VzqFv24r/OWc01aZ8P9XKQO0O31nnYo\nUq60+rzopbpP2bSzXtLzjSszmwNcb2a7lyAtW5jZhjnn2RO4MOO0U81sSs7lDwKEEELOAmYg53oO\nNrPZ8e+66zGzo4GvmdnmRQqyvGnLuexDzezwDNPtZWbvg+z71sx2i9veMma2q5nta2Yb5JhnBvDx\nrAHezI4CLgeeLJjMRsvf1cyOLThvrjLPzCYVWEfec/BYM3txjumfnjcAt6FCsI+ZvRly5fenmdm0\njKvYPc+yu0mRPFZgHZnKrTht7phQsFzJXE4XiW155S3nxrmuzOdLnjpAap7M9Z6icadgOdTSsjE1\nX9a8lalcKRLP43y5YlWRuk+eulW75U1PzpiQzJMppuetlxSpr6f1fOMKeAFwNPA+M9t3rInM7Llm\ndk7MqJtlXXiOE2Bb4FLgyJwH7O/AQWa2U4OTfw/gOmD/rME6Tvd+M7sUMhUw+5nZojjtmiwFWGp5\nbwe2StZTZ/qjgA8AbwshPJplO+J8e5nZEWa2RUxbK3rPjwauBLYfax9bBGwI7GFm50OmfWvAfwIv\njPsgT7qy5sFjgK8AnwMuM7O9Mq7iX8B6wFNmNrHBOo4CPgmcG0L4WcZ0Jb2HWfLTZsBLgGOz7qdY\nkdkf8vVIm9k+wDvNbIcc8+wOvMPMDsg4/ZF4fn8k4/THAJ8FGvZKm9kUM9vQzLapd87VmC9vQDRg\nc+BwMzsbMuX3I4HPAy+1eLWgzrQTgJvMbHGWZXdS3jhSJI/F+fJ0hDUst1LT5ooJcZ7M5UrBGJI7\ntqXmzZNPMpdz41HgfMlUB6iStd5TKO7kKYdS87S6bMxVB8hSrhSN53HeXLEqb90nb91qjHkzT5vl\nXI3TFY07eWJCrpiet15ixevrFeN5A3E3/ABPB64A3gPcDDyrxjRHAXcDnwJ+AJwSP7c6y90N2KHR\ndPH7reLvecDVwLHAhjm24YvAM+t8vzvwU+ANOffNROC5eIa+MPV5ze0BtgRWAFenPhtosJ82iL+/\nArykQXqOBP4KfAyYmGM75gD3Al8DVif7qla6gP2B5wEDOffVQcBdwMwc88yMx67uvgWeCRyMB6o3\nAx8Fjs6w/N2A7TPmwWQf7YAH9s/iBQ1jpS0uf0dgU+A7jY5JPI/+B/gtcAywUYZtOAR4PbBxvbSk\n9ueHgS2At8S/x9xPgMW0/wv4HfBpYDqwSfx+QoO0bQ/cgpcd22c85lvHffteYN8M++vPwBvrbXfV\n9D8FDo//r1dn2t2BbwDXA38E3goc0Kz8VGPejYC9gRuB1zQ4jscBPwdmAZNrHbcan20M/Aq4Ksu+\n6sQPxeJIrjyW9xiRs9wif0zIVa6QM4ZQPLblic+5yrk4T6E4kpo/8/kSP69bB6gxfZZ6T9G4k7kc\nqpqvlWVj5jpA1XyZyxUyxvPUtHliVe66DznqVlV5PU/5kTk+x89zx504X6aYQIGYTs56CeOsr69b\nTt4ZuuEH2BXYJv49Be9RezdwcixoDkhNeyDwRFL4AC8FvgdMqbP8bfHegiuA7Rpktu2AjyeZH3ht\nLGCOG+uA4QHxeuBFePD9EN6bMWo9+NXHDwGvjf9PBKbFk/sZYyx/+7jde8X/nwVcM1ahAWyS7A88\ngN4MfDb1/cT4e09gMPX5XsAr4t+XAy+Of09KToLU76OAe4Cz4359U7JvGxzr58WT+Dnx//cA306l\naUJq2mnx+9vxoDKh1vaOsZ5jgQ/Fv6fiPVKLYr5K9uPz8cLxFGCPVP6qt28n4SfxF/FKzWTgbTQI\ndDENF2XMg+vjw0p+BkyLn82I63w2sZCusfxL4vIPifmxZhDFC7wX4pW43YED4jGYW2vZ6bTi59ra\n+PslwP61pksdv9vxisl0/BysG7TifOfE4/QZYDFeHhxYZz2TgUnx7x2ALwHvJ3sDayDmjU8Ce9fJ\nT7/Ee+TfBhzcYJk7AL8HTkudw18BNq8x7TOAO2I+3BwPWJ+OeerAMZa/Sdb8lJpnj6r/dwJWAt8C\n3jrGvt0yHutZVfO+GTiz6rPnxGVuHf/fOO6zT2c9b9v1Q844UiSPkeOcr8pndcutVH7KHBPi/5nL\nFQrEEArEtjhdnvicq5yLvwvFkTznCznqAKn58tR7isadzOXQGPO3omzMXAeI/2cqVygQz1OfZY5V\nFKj7kKNuVXUOZq0zFInPueNOnC9zTEh9lymmk79ekru+PtZPzw0LNLP98Iz6NTM7FBjET9A9gD8B\nt+KXpg9MzXYbfiIRQrgOvwx/ppkdbma7VC3/CGA+nolWA2eZ2fYhhDDGZdO/4C3sg8zs+BDCJ4Ef\nAy/GhwWMuORoZuvhPTa/wIPIjcDheEYlxCMep7Xgl0QH8KAE8D48c3wW+KKZnVC1/N3wntLXAh8w\ns+fhwXEBMMPM3pusJ14RPyZO/2kzOzv45epTgcHU8I5hM3sTXmimLzfvBbzIzF6AZ9pJcfonQ+VS\nrpmPdf8HXmB/BPgqHpxfGC/P1mRmm+CB4QfJZyGEC4D/jft2OnHoq5kdB1wLXIwHg3cCB8ehAev2\na0xLLf8GdjOzVwFfx4dSPIX3/r0+Xnb+CPAoPhzj5DiE5S5gIbBTrSEFIYQngf+Oy3wN3rO0EHgI\nvyQ9YjhBar7H8OPyFxrkwRDCU3gB/GXgyrhPX4tXoL4MfM7Mbjaz7eI6JsblXwc8iB/vfYFzzOxl\nccjTkWZ2jJltCsyO2/6WEMKvQwg/xSssrwZOtBr3YaTy8ZvjtDfF9FxqZm9LjnvcpqScehzvsdo5\nhLAKL1j/AhzRYNjFfXHZ80IIc4FhYIWZvcXMXpdOTzwffgV8yswOwcuCU/Fg/Aoze3r1ws1sb4vj\n8aON8V7pvYCTYpmUnv7pwLuAVwGvwyt4x5nZQbUSb2YbhxAewI/Vs81sFl4p+mGoGj5iZk/DK2XX\nhxA+F0J4NISwArgMH9qSjM0fUfaHEP6OlzV/o3GZlsz/aTP7fPx/azzAfRY4E3iWmZ0Vl50eQrMW\nP2a3pZZ1EXACfhwvTi3vK8BPgK+a2Rvw3vi9gQPN7CM1lt1pmeJI3jxW5JxPaVRuWd6YkCw4R7ky\nl5wxpEhsi/sqc3zOW87FZRSKI3nOF7wRmakOkFp+rnpP3rgT15G5HErN0+qyMXMdIE6fqVzBryRl\njuc1kpYpVhWt+5CxbpWeIU8Znzc+F4k7eWNClYYxnQL1EnLW1+vK0xLrlp+YEdYCZ+GF/8V4wXwY\n3kNzHl4oTMLHWB+ID4N4R5x2JfAJvLfnt8A7QqWH4efAQfH/Z+O9jR8Bdkyt//XA66vS9E78culx\nodIivhrvmZocPzsC73U5OjXfIN479G3gytTnSW/IJsAucdn3A0uBE/Heu1cBH0vN80y8UPnP+P8F\ncZuSnsID8MDx3tT2/iim8dC4j9ZPpesmvFfilcBvgP1qHIuX4wHk/rgvb8CHXnwpHoPL8Az9viQu\nxd/Pj+t7IzC9xnJnxv0+iF92/xDei3gpHiBuicdxCfBBvDKzf2r+s/DAcihxaAdwGt7btGn8f9e4\nnhnx/1NivrgY2C1+tiEeyNcC/xE/OxD4JvD01PoOwPNTkpeeHn8nvUzPjvvwC3gP6gZ4wXYVqR4d\nYm936v/nMHYefB+ep54fl7chHnD/B/hOnG4LvPJyJV65OxwftnFsavkfB/4AfB+vcH0Bz4/fiPvk\nbuB5cfqJqWN4VJzu5aQu9eO9Wsl27xzzRLLv3hD35ZXE+yzi+g7F8/S5xJ7sOP00fOjBJ/DKx7rh\nA1X76VP4eX9EzAtn4+fHbXEZyXzPwvP8n/D8+WX8PHl1PKZvoyo/xnluwHvTtsTz0Kl4UP9YPA7J\nFY1j4/7dLjX/7vgVgIuIZUvqu13jMvaL/78fH/7y/tQ0yb40vJL09bjP8rXWvwAAH0hJREFUt61a\n1sF4D+9OVct/Fl6GTIh54BLqlGlUhpVsGLf1GvycfkP8fD28rP0G8Kbks/h7IE57QmrZr8DL4m3x\nXsjd4+dDeGX7MrwcT+7rOTfmkcs7HWtS25AnjuTKY+Q7519P9nLrdvx8zxwT4md7k71cuQW4kxwx\nhAKxLVXeZI3PHyVfObdzXH6ROJLnfFlAxjpAjTyYpd5zEyOvbmSNO5nLoTaWjXnqAHOpXF1tVK5c\nQ854Hj/bh+yx6siYH3LXfVLLq1e3+gJ+pWwCOct48sXniRSIOwViwhbki+kvJWe9pGrZDevrDWNC\nu4JPO37SOx/vAfgh3lPykbjzr4jfHQZsRuWy8SS8kFkK/CG1jI3xk3uXeDI8hbeU0+s8kEoBPgCc\nhPc6fSeVebbEW79fwwv1E+LnZ+IF+kb4WND/FzPFPjW2bcOYIa7Bb148GA8C744Zbwrw/HQhFzPa\nZ/ATaiLeyFiVWuZv4gnxYyon+Ey84LkSf6rKEakT5Hd4YfT++NnmwHfxXoO942d7UDVkA780+028\n0DsR7wk6MW7/TvgJ/ACpgipVyHwOL5ifVvVdrcvu38AbOsn274f3gj2E9zhVn9xJYNwVOB0f7rB3\nKs2/xHv3luI9Y1vVOC4vjd/dDHwh9fkyvIB8E37yT8QL5G1jmlen9vn0uC3n40HgajzYT8Z7YZOg\ncCDwa7xwSA/pORAPpOk8+GjcnmvwIPMrvKEyHa9A3VhjnyZ58CRSQzbwRvmFcflbJgVjnP6RmPYp\nqf2ePg9n45Wrl8b/d8bz0NGp6YdiGl8R0/lfMV/cEPfv+Xgg/A3em/vdqnRvE4/lVuljhBf6yTr2\nx8+/PwDHp6ZZv2pZA3F/fgSv6AzG/XUhno/W4pWCCfEYJYX3s/Cg9jfgdanlPY3K8JxjYvqPTNaV\nmm63uI4Lk2XGz6fE9X2USt58Dx48d6dSodsKD8YbUxnSNY8Y6KiUAV9Ljjsj8/gt8dhvGdPyAUbm\npz/h59PRpO7hwculW4AfVO3HSXiZsS3e6F2EB6xD8Dz9fqrG4uONgG/EtL8sfvY6vML18tT5dipe\noXicVMO4A/Fmn/g7cxwpkMfynPN/wsvUrOXWd/FzMWtMmA8cj18haViuxDTniiEUiG3x/zzxeTVe\n8cpazq2H39PzR/LHkTznyzlx2oZ1gKrPG9Z74rbvgMeFXHEnTzmUmr4dZWPWOsCxeJ76HNnLlVvI\nFs+TvL4j8B9kj1XT4/+Z6z7kq1vNw2No3jL+BWSPz9fEY5sr7sTP88SEZVSGFGeJ6ceSo14S98Ut\n5KivZ4oP7Q5IrfiJGfHieGAvIo6NjAfla/HvqTFzbo2fPDfhJ/WM1HJm4r101TfkJj1il+E9Ic+r\n+v5AvKD5IfBwPLg34CfHdnhLOhk3/oaYeU+K/2+KB+R7gWdXLfcYUr2WeCHyHfyS6KFxe26J2zy1\nat6D8KEdc/BCf2HMjF/CGwK34L1GE/ET/CG8VT6AN0j+hPeu3oYXHN+KmX9v/ARbENeT9KpZnO7B\nOO/LSI2Vjpn4c/i43Q1i5v5SXNd+eEH7IPD2qu04Eu/p2azq8w3j8U0K+i3wXqHLkvXijeg78ALj\nFXGbq3u/zsID7QOpZR2MV2jSY9SviJ8lDZ1t8Z6SO/Ee2kl4oPky3oj9Pt4DuCAe24/GaZJe26RQ\nvRQvHJMe/ul4YXUdo8cQv4LYY4/n9Quo3LfxzHg8f4T3hv2e1E3DeP78Jt67tgEeiL5FpcJ3IJ6v\nqvPgkTGP7IafY1fF471P3K6D8R6yzyfLqlGQHU7l5vIpeK/Zh+OyB/AC+Cr83JkTp9s67pszU8uZ\njg/h+D7xvE59NxDnWUpsyKXTEbf5OuDzNb6rriRPxs/Ja4E3p6b/D7zytDsefH6J5/P14j46EO8l\nfUtV2rbC8/8fqOSxp+P5Z/3UdLviwe5djLxfZUrcXwtSaf0Afv4kyzsIP7/Oxs+NJNC9iUrP+XPx\nse3TGTuPr8TP6Z3wyswP8fN5Lzwg3k3VfQNxf32X1E3hqe/m4OXQ6Xjl7WI8+F8Rt+kkPDCfht8k\n/wz8Cs6n8PLI8GFLV+JD2pLG5A7AFh2MObniSJE8lvOcfxC/+pOl3DoNL8O/QPaYcCzeS34P2cqV\nV+FXxPLEkGfgldLMsS3+nyc+P4IPGctUzo0zjmQ+X8hXB/g6nv/y1HsKx5085VD8rC1lIxnqAKl9\nYDQoV+I+3SEuJ1M8T5UFeWLVUeSs+5CjbpX6vEgZnyk+V52LnyNj3CkQE+7EG0lZY3reeskx+MWT\nzPX1zDGi1UGo1T/xQN2DX848DS+0Pke8dI+PNf56avpN8MLxS/HgPoAXmMml6QPwFus7Uyf6m4FD\n4v+vTQ5ejUx2Y8zMJ8b5FgFrSPWm4YXjOfgJu3GqAD03/p1UHj6EB6BrqAwb3BEvtE5NLW9zvNB6\nB96TszFeeNyDB4M98MBwJt6Q2zhmuAer0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1cw8p6GN+L5OelZPwR/tPFueCfSh/AKybfx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\njSsREREREZEmUONKRERERESkCf4/pa6UbXmARcgAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11e9f9128>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, axes = subplots(2, 2, sharey=True, figsize=[12, 12])\n",
"axes = axes.flatten()\n",
"xticks(rotation=45)\n",
"for i in range(4):\n",
" season = 2016 + i // 2\n",
" df = dflst[season]\n",
" if i % 2 == 0:\n",
" order = df[['Team', 'CF']].groupby('Team').median().sort_values('CF', ascending=False).index\n",
" sns.boxplot(x='Team', y='CF', hue='IsWSH', order=order, data=df, ax=axes[i])\n",
" else:\n",
" order = df[['Team', 'CA']].groupby('Team').median().sort_values('CA').index\n",
" sns.boxplot(x='Team', y='CA', hue='IsWSH', order=order, data=df, ax=axes[i])\n",
" if i % 2 == 0:\n",
" axes[i].set_title('CF by game, {0:d}-{1:s}'.format(season, str(season + 1)[2:]))\n",
" else:\n",
" axes[i].set_title('CA by game, {0:d}-{1:s}'.format(season, str(season + 1)[2:]))\n",
" setp(axes[i].xaxis.get_majorticklabels(), rotation=45)\n",
"\n",
"fig.tight_layout()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 1
}