5367 lines
312 KiB
Plaintext
5367 lines
312 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 274,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"\n",
|
|
"plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
|
|
"plt.rcParams[\"font.size\"] = 16\n",
|
|
"\n",
|
|
"g_label_fontsize = 16\n",
|
|
"\n",
|
|
"colors = [\n",
|
|
" \"#455D7A\",\n",
|
|
" \"#233142\",\n",
|
|
" \"#F95959\",\n",
|
|
"]\n",
|
|
"\n",
|
|
"edgecolors = [\n",
|
|
" \"#FFFFFF\",\n",
|
|
" \"#FFFFFF\",\n",
|
|
" \"#FFFFFF\",\n",
|
|
"]\n",
|
|
"\n",
|
|
"hatches = [\"\\\\\\\\\", \"\", \"\"]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 275,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 2100x646.154 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig, ax = plt.subplots(\n",
|
|
" figsize=(7, 14 / 6.5), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 276,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"raw_data = {\n",
|
|
" \"1\": 3770,\n",
|
|
" \"2\": 3671,\n",
|
|
" \"3\": 4791,\n",
|
|
" \"4\": 548,\n",
|
|
" \"5\": 678,\n",
|
|
" \"6\": 388,\n",
|
|
" \"7\": 532,\n",
|
|
" \"8\": 301,\n",
|
|
" \"9\": 245,\n",
|
|
" \"10\": 149,\n",
|
|
" \"11\": 3,\n",
|
|
" \"12\": 6,\n",
|
|
" \"13\": 6,\n",
|
|
" \"14\": 5,\n",
|
|
" \"15\": 3,\n",
|
|
" \"16\": 2,\n",
|
|
" \"17\": 3,\n",
|
|
" \"18\": 3,\n",
|
|
" \"19\": 15,\n",
|
|
" \"20\": 27,\n",
|
|
" \"21\": 3,\n",
|
|
" \"22\": 2,\n",
|
|
" \"23\": 1,\n",
|
|
" \"24\": 2,\n",
|
|
" \"25\": 2,\n",
|
|
" \"26\": 2,\n",
|
|
" \"27\": 1,\n",
|
|
" \"28\": 2,\n",
|
|
" \"29\": 4,\n",
|
|
" \"30\": 5,\n",
|
|
" \"31\": 5,\n",
|
|
" \"32\": 8,\n",
|
|
" \"33\": 4,\n",
|
|
" \"34\": 3,\n",
|
|
" \"35\": 1,\n",
|
|
" \"36\": 2,\n",
|
|
" \"37\": 1,\n",
|
|
" \"38\": 1,\n",
|
|
" \"39\": 1,\n",
|
|
" \"40\": 2,\n",
|
|
" \"41\": 1,\n",
|
|
" \"42\": 1,\n",
|
|
" \"43\": 1,\n",
|
|
" \"44\": 1,\n",
|
|
" \"45\": 1,\n",
|
|
" \"46\": 13,\n",
|
|
" \"47\": 1,\n",
|
|
" \"48\": 1,\n",
|
|
" \"49\": 2,\n",
|
|
" \"50\": 1,\n",
|
|
" \"51\": 5,\n",
|
|
" \"52\": 5,\n",
|
|
" \"53\": 2,\n",
|
|
" \"54\": 2,\n",
|
|
" \"55\": 2,\n",
|
|
" \"56\": 7,\n",
|
|
" \"57\": 4,\n",
|
|
" \"58\": 3,\n",
|
|
" \"59\": 5,\n",
|
|
" \"60\": 3,\n",
|
|
" \"61\": 2,\n",
|
|
" \"62\": 3,\n",
|
|
" \"63\": 1,\n",
|
|
" \"64\": 1,\n",
|
|
" \"65\": 2,\n",
|
|
" \"66\": 3,\n",
|
|
" \"67\": 1,\n",
|
|
" \"68\": 1,\n",
|
|
" \"69\": 1,\n",
|
|
" \"70\": 1,\n",
|
|
" \"71\": 12,\n",
|
|
" \"72\": 4,\n",
|
|
" \"73\": 5,\n",
|
|
" \"74\": 3,\n",
|
|
" \"75\": 6,\n",
|
|
" \"76\": 6,\n",
|
|
" \"77\": 5,\n",
|
|
" \"78\": 3,\n",
|
|
" \"79\": 2,\n",
|
|
" \"80\": 3,\n",
|
|
" \"81\": 3,\n",
|
|
" \"82\": 15,\n",
|
|
" \"83\": 27,\n",
|
|
" \"84\": 3,\n",
|
|
" \"85\": 2,\n",
|
|
" \"86\": 1,\n",
|
|
" \"87\": 2,\n",
|
|
" \"88\": 2,\n",
|
|
" \"89\": 2,\n",
|
|
" \"90\": 1,\n",
|
|
" \"91\": 2,\n",
|
|
" \"92\": 4,\n",
|
|
" \"93\": 5,\n",
|
|
" \"94\": 5,\n",
|
|
" \"95\": 8,\n",
|
|
" \"96\": 4,\n",
|
|
" \"97\": 3,\n",
|
|
" \"98\": 1,\n",
|
|
" \"99\": 2,\n",
|
|
" \"100\": 1,\n",
|
|
" \"101\": 1,\n",
|
|
" \"102\": 1,\n",
|
|
" \"103\": 2,\n",
|
|
" \"104\": 1,\n",
|
|
" \"105\": 1,\n",
|
|
" \"106\": 1,\n",
|
|
" \"107\": 1,\n",
|
|
" \"108\": 1,\n",
|
|
" \"109\": 13,\n",
|
|
" \"110\": 1,\n",
|
|
" \"111\": 1,\n",
|
|
" \"112\": 2,\n",
|
|
" \"113\": 1,\n",
|
|
" \"114\": 6,\n",
|
|
" \"115\": 5,\n",
|
|
" \"116\": 2,\n",
|
|
" \"117\": 2,\n",
|
|
" \"118\": 2,\n",
|
|
" \"119\": 7,\n",
|
|
" \"120\": 4,\n",
|
|
" \"121\": 3,\n",
|
|
" \"122\": 5,\n",
|
|
" \"123\": 3,\n",
|
|
" \"124\": 2,\n",
|
|
" \"125\": 3,\n",
|
|
" \"126\": 1,\n",
|
|
" \"127\": 1,\n",
|
|
" \"128\": 2,\n",
|
|
" \"129\": 3,\n",
|
|
" \"130\": 1,\n",
|
|
" \"131\": 1,\n",
|
|
" \"132\": 1,\n",
|
|
" \"133\": 1,\n",
|
|
" \"134\": 12,\n",
|
|
" \"135\": 4,\n",
|
|
" \"136\": 5,\n",
|
|
" \"137\": 3,\n",
|
|
" \"138\": 6,\n",
|
|
" \"139\": 6,\n",
|
|
" \"140\": 5,\n",
|
|
" \"141\": 3,\n",
|
|
" \"142\": 2,\n",
|
|
" \"143\": 3,\n",
|
|
" \"144\": 3,\n",
|
|
" \"145\": 15,\n",
|
|
" \"146\": 27,\n",
|
|
" \"147\": 3,\n",
|
|
" \"148\": 2,\n",
|
|
" \"149\": 1,\n",
|
|
" \"150\": 2,\n",
|
|
" \"151\": 2,\n",
|
|
" \"152\": 2,\n",
|
|
" \"153\": 1,\n",
|
|
" \"154\": 2,\n",
|
|
" \"155\": 4,\n",
|
|
" \"156\": 5,\n",
|
|
" \"157\": 5,\n",
|
|
" \"158\": 8,\n",
|
|
" \"159\": 4,\n",
|
|
" \"160\": 3,\n",
|
|
" \"161\": 1,\n",
|
|
" \"162\": 2,\n",
|
|
" \"163\": 1,\n",
|
|
" \"164\": 1,\n",
|
|
" \"165\": 1,\n",
|
|
" \"166\": 2,\n",
|
|
" \"167\": 1,\n",
|
|
" \"168\": 1,\n",
|
|
" \"169\": 1,\n",
|
|
" \"170\": 1,\n",
|
|
" \"171\": 1,\n",
|
|
" \"172\": 13,\n",
|
|
" \"173\": 1,\n",
|
|
" \"174\": 1,\n",
|
|
" \"175\": 2,\n",
|
|
" \"176\": 1,\n",
|
|
" \"177\": 6,\n",
|
|
" \"178\": 5,\n",
|
|
" \"179\": 2,\n",
|
|
" \"180\": 2,\n",
|
|
" \"181\": 2,\n",
|
|
" \"182\": 7,\n",
|
|
" \"183\": 4,\n",
|
|
" \"184\": 3,\n",
|
|
" \"185\": 5,\n",
|
|
" \"186\": 3,\n",
|
|
" \"187\": 2,\n",
|
|
" \"188\": 3,\n",
|
|
" \"189\": 1,\n",
|
|
" \"190\": 1,\n",
|
|
" \"191\": 2,\n",
|
|
" \"192\": 3,\n",
|
|
" \"193\": 1,\n",
|
|
" \"194\": 1,\n",
|
|
" \"195\": 1,\n",
|
|
" \"196\": 1,\n",
|
|
" \"197\": 12,\n",
|
|
" \"198\": 4,\n",
|
|
" \"199\": 5,\n",
|
|
" \"200\": 3,\n",
|
|
" \"201\": 6,\n",
|
|
" \"202\": 6,\n",
|
|
" \"203\": 5,\n",
|
|
" \"204\": 3,\n",
|
|
" \"205\": 2,\n",
|
|
" \"206\": 3,\n",
|
|
" \"207\": 3,\n",
|
|
" \"208\": 15,\n",
|
|
" \"209\": 27,\n",
|
|
" \"210\": 3,\n",
|
|
" \"211\": 2,\n",
|
|
" \"212\": 1,\n",
|
|
" \"213\": 2,\n",
|
|
" \"214\": 2,\n",
|
|
" \"215\": 2,\n",
|
|
" \"216\": 1,\n",
|
|
" \"217\": 2,\n",
|
|
" \"218\": 4,\n",
|
|
" \"219\": 5,\n",
|
|
" \"220\": 5,\n",
|
|
" \"221\": 8,\n",
|
|
" \"222\": 4,\n",
|
|
" \"223\": 3,\n",
|
|
" \"224\": 1,\n",
|
|
" \"225\": 2,\n",
|
|
" \"226\": 1,\n",
|
|
" \"227\": 1,\n",
|
|
" \"228\": 1,\n",
|
|
" \"229\": 2,\n",
|
|
" \"230\": 1,\n",
|
|
" \"231\": 1,\n",
|
|
" \"232\": 1,\n",
|
|
" \"233\": 1,\n",
|
|
" \"234\": 1,\n",
|
|
" \"235\": 13,\n",
|
|
" \"236\": 1,\n",
|
|
" \"237\": 1,\n",
|
|
" \"238\": 2,\n",
|
|
" \"239\": 1,\n",
|
|
" \"240\": 6,\n",
|
|
" \"241\": 5,\n",
|
|
" \"242\": 2,\n",
|
|
" \"243\": 2,\n",
|
|
" \"244\": 2,\n",
|
|
" \"245\": 7,\n",
|
|
" \"246\": 4,\n",
|
|
" \"247\": 3,\n",
|
|
" \"248\": 5,\n",
|
|
" \"249\": 3,\n",
|
|
" \"250\": 2,\n",
|
|
" \"251\": 3,\n",
|
|
" \"252\": 1,\n",
|
|
" \"253\": 1,\n",
|
|
" \"254\": 2,\n",
|
|
" \"255\": 3,\n",
|
|
" \"256\": 1,\n",
|
|
" \"257\": 1,\n",
|
|
" \"258\": 1,\n",
|
|
" \"259\": 1,\n",
|
|
" \"260\": 12,\n",
|
|
" \"261\": 4,\n",
|
|
" \"262\": 5,\n",
|
|
" \"263\": 3,\n",
|
|
" \"264\": 6,\n",
|
|
" \"265\": 6,\n",
|
|
" \"266\": 5,\n",
|
|
" \"267\": 3,\n",
|
|
" \"268\": 2,\n",
|
|
" \"269\": 3,\n",
|
|
" \"270\": 3,\n",
|
|
" \"271\": 15,\n",
|
|
" \"272\": 27,\n",
|
|
" \"273\": 3,\n",
|
|
" \"274\": 2,\n",
|
|
" \"275\": 1,\n",
|
|
" \"276\": 2,\n",
|
|
" \"277\": 2,\n",
|
|
" \"278\": 2,\n",
|
|
" \"279\": 1,\n",
|
|
" \"280\": 2,\n",
|
|
" \"281\": 4,\n",
|
|
" \"282\": 5,\n",
|
|
" \"283\": 5,\n",
|
|
" \"284\": 8,\n",
|
|
" \"285\": 4,\n",
|
|
" \"286\": 3,\n",
|
|
" \"287\": 1,\n",
|
|
" \"288\": 2,\n",
|
|
" \"289\": 1,\n",
|
|
" \"290\": 1,\n",
|
|
" \"291\": 1,\n",
|
|
" \"292\": 2,\n",
|
|
" \"293\": 1,\n",
|
|
" \"294\": 1,\n",
|
|
" \"295\": 1,\n",
|
|
" \"296\": 1,\n",
|
|
" \"297\": 1,\n",
|
|
" \"298\": 13,\n",
|
|
" \"299\": 1,\n",
|
|
" \"300\": 1,\n",
|
|
" \"301\": 2,\n",
|
|
" \"302\": 1,\n",
|
|
" \"303\": 6,\n",
|
|
" \"304\": 5,\n",
|
|
" \"305\": 2,\n",
|
|
" \"306\": 2,\n",
|
|
" \"307\": 2,\n",
|
|
" \"308\": 7,\n",
|
|
" \"309\": 4,\n",
|
|
" \"310\": 3,\n",
|
|
" \"311\": 5,\n",
|
|
" \"312\": 3,\n",
|
|
" \"313\": 2,\n",
|
|
" \"314\": 3,\n",
|
|
" \"315\": 1,\n",
|
|
" \"316\": 1,\n",
|
|
" \"317\": 2,\n",
|
|
" \"318\": 3,\n",
|
|
" \"319\": 1,\n",
|
|
" \"320\": 1,\n",
|
|
" \"321\": 1,\n",
|
|
" \"322\": 1,\n",
|
|
" \"323\": 12,\n",
|
|
" \"324\": 4,\n",
|
|
" \"325\": 5,\n",
|
|
" \"326\": 3,\n",
|
|
" \"327\": 6,\n",
|
|
" \"328\": 6,\n",
|
|
" \"329\": 5,\n",
|
|
" \"330\": 3,\n",
|
|
" \"331\": 2,\n",
|
|
" \"332\": 3,\n",
|
|
" \"333\": 3,\n",
|
|
" \"334\": 15,\n",
|
|
" \"335\": 27,\n",
|
|
" \"336\": 3,\n",
|
|
" \"337\": 2,\n",
|
|
" \"338\": 1,\n",
|
|
" \"339\": 2,\n",
|
|
" \"340\": 2,\n",
|
|
" \"341\": 2,\n",
|
|
" \"342\": 1,\n",
|
|
" \"343\": 2,\n",
|
|
" \"344\": 4,\n",
|
|
" \"345\": 5,\n",
|
|
" \"346\": 5,\n",
|
|
" \"347\": 8,\n",
|
|
" \"348\": 4,\n",
|
|
" \"349\": 3,\n",
|
|
" \"350\": 1,\n",
|
|
" \"351\": 2,\n",
|
|
" \"352\": 1,\n",
|
|
" \"353\": 1,\n",
|
|
" \"354\": 1,\n",
|
|
" \"355\": 2,\n",
|
|
" \"356\": 1,\n",
|
|
" \"357\": 1,\n",
|
|
" \"358\": 1,\n",
|
|
" \"359\": 1,\n",
|
|
" \"360\": 1,\n",
|
|
" \"361\": 13,\n",
|
|
" \"362\": 1,\n",
|
|
" \"363\": 1,\n",
|
|
" \"364\": 2,\n",
|
|
" \"365\": 1,\n",
|
|
" \"366\": 6,\n",
|
|
" \"367\": 5,\n",
|
|
" \"368\": 2,\n",
|
|
" \"369\": 2,\n",
|
|
" \"370\": 2,\n",
|
|
" \"371\": 7,\n",
|
|
" \"372\": 4,\n",
|
|
" \"373\": 3,\n",
|
|
" \"374\": 5,\n",
|
|
" \"375\": 3,\n",
|
|
" \"376\": 2,\n",
|
|
" \"377\": 3,\n",
|
|
" \"378\": 1,\n",
|
|
" \"379\": 1,\n",
|
|
" \"380\": 2,\n",
|
|
" \"381\": 3,\n",
|
|
" \"382\": 1,\n",
|
|
" \"383\": 1,\n",
|
|
" \"384\": 1,\n",
|
|
" \"385\": 1,\n",
|
|
" \"386\": 12,\n",
|
|
" \"387\": 4,\n",
|
|
" \"388\": 5,\n",
|
|
" \"389\": 3,\n",
|
|
" \"390\": 6,\n",
|
|
" \"391\": 6,\n",
|
|
" \"392\": 5,\n",
|
|
" \"393\": 3,\n",
|
|
" \"394\": 2,\n",
|
|
" \"395\": 3,\n",
|
|
" \"396\": 3,\n",
|
|
" \"397\": 15,\n",
|
|
" \"398\": 27,\n",
|
|
" \"399\": 3,\n",
|
|
" \"400\": 2,\n",
|
|
" \"401\": 1,\n",
|
|
" \"402\": 2,\n",
|
|
" \"403\": 2,\n",
|
|
" \"404\": 2,\n",
|
|
" \"405\": 1,\n",
|
|
" \"406\": 2,\n",
|
|
" \"407\": 4,\n",
|
|
" \"408\": 5,\n",
|
|
" \"409\": 5,\n",
|
|
" \"410\": 8,\n",
|
|
" \"411\": 4,\n",
|
|
" \"412\": 3,\n",
|
|
" \"413\": 1,\n",
|
|
" \"414\": 2,\n",
|
|
" \"415\": 1,\n",
|
|
" \"416\": 1,\n",
|
|
" \"417\": 1,\n",
|
|
" \"418\": 2,\n",
|
|
" \"419\": 1,\n",
|
|
" \"420\": 1,\n",
|
|
" \"421\": 1,\n",
|
|
" \"422\": 1,\n",
|
|
" \"423\": 1,\n",
|
|
" \"424\": 13,\n",
|
|
" \"425\": 1,\n",
|
|
" \"426\": 1,\n",
|
|
" \"427\": 2,\n",
|
|
" \"428\": 1,\n",
|
|
" \"429\": 6,\n",
|
|
" \"430\": 5,\n",
|
|
" \"431\": 2,\n",
|
|
" \"432\": 2,\n",
|
|
" \"433\": 2,\n",
|
|
" \"434\": 7,\n",
|
|
" \"435\": 4,\n",
|
|
" \"436\": 3,\n",
|
|
" \"437\": 5,\n",
|
|
" \"438\": 3,\n",
|
|
" \"439\": 2,\n",
|
|
" \"440\": 3,\n",
|
|
" \"441\": 1,\n",
|
|
" \"442\": 1,\n",
|
|
" \"443\": 2,\n",
|
|
" \"444\": 3,\n",
|
|
" \"445\": 1,\n",
|
|
" \"446\": 1,\n",
|
|
" \"447\": 1,\n",
|
|
" \"448\": 1,\n",
|
|
" \"449\": 12,\n",
|
|
" \"450\": 4,\n",
|
|
" \"451\": 5,\n",
|
|
" \"452\": 3,\n",
|
|
" \"453\": 6,\n",
|
|
" \"454\": 6,\n",
|
|
" \"455\": 5,\n",
|
|
" \"456\": 3,\n",
|
|
" \"457\": 2,\n",
|
|
" \"458\": 3,\n",
|
|
" \"459\": 3,\n",
|
|
" \"460\": 15,\n",
|
|
" \"461\": 27,\n",
|
|
" \"462\": 3,\n",
|
|
" \"463\": 2,\n",
|
|
" \"464\": 1,\n",
|
|
" \"465\": 2,\n",
|
|
" \"466\": 2,\n",
|
|
" \"467\": 2,\n",
|
|
" \"468\": 1,\n",
|
|
" \"469\": 2,\n",
|
|
" \"470\": 4,\n",
|
|
" \"471\": 5,\n",
|
|
" \"472\": 5,\n",
|
|
" \"473\": 8,\n",
|
|
" \"474\": 4,\n",
|
|
" \"475\": 3,\n",
|
|
" \"476\": 1,\n",
|
|
" \"477\": 2,\n",
|
|
" \"478\": 1,\n",
|
|
" \"479\": 1,\n",
|
|
" \"480\": 1,\n",
|
|
" \"481\": 2,\n",
|
|
" \"482\": 1,\n",
|
|
" \"483\": 1,\n",
|
|
" \"484\": 1,\n",
|
|
" \"485\": 1,\n",
|
|
" \"486\": 1,\n",
|
|
" \"487\": 13,\n",
|
|
" \"488\": 1,\n",
|
|
" \"489\": 1,\n",
|
|
" \"490\": 2,\n",
|
|
" \"491\": 1,\n",
|
|
" \"492\": 6,\n",
|
|
" \"493\": 5,\n",
|
|
" \"494\": 2,\n",
|
|
" \"495\": 2,\n",
|
|
" \"496\": 2,\n",
|
|
" \"497\": 7,\n",
|
|
" \"498\": 4,\n",
|
|
" \"499\": 3,\n",
|
|
" \"500\": 5,\n",
|
|
" \"501\": 3,\n",
|
|
" \"502\": 2,\n",
|
|
" \"503\": 3,\n",
|
|
" \"504\": 1,\n",
|
|
" \"505\": 1,\n",
|
|
" \"506\": 2,\n",
|
|
" \"507\": 3,\n",
|
|
" \"508\": 1,\n",
|
|
" \"509\": 1,\n",
|
|
" \"510\": 1,\n",
|
|
" \"511\": 1,\n",
|
|
" \"512\": 12,\n",
|
|
" \"513\": 4,\n",
|
|
" \"514\": 5,\n",
|
|
" \"515\": 3,\n",
|
|
" \"516\": 6,\n",
|
|
" \"517\": 6,\n",
|
|
" \"518\": 5,\n",
|
|
" \"519\": 3,\n",
|
|
" \"520\": 2,\n",
|
|
" \"521\": 3,\n",
|
|
" \"522\": 3,\n",
|
|
" \"523\": 15,\n",
|
|
" \"524\": 27,\n",
|
|
" \"525\": 3,\n",
|
|
" \"526\": 2,\n",
|
|
" \"527\": 1,\n",
|
|
" \"528\": 2,\n",
|
|
" \"529\": 2,\n",
|
|
" \"530\": 2,\n",
|
|
" \"531\": 1,\n",
|
|
" \"532\": 2,\n",
|
|
" \"533\": 4,\n",
|
|
" \"534\": 5,\n",
|
|
" \"535\": 5,\n",
|
|
" \"536\": 8,\n",
|
|
" \"537\": 4,\n",
|
|
" \"538\": 3,\n",
|
|
" \"539\": 1,\n",
|
|
" \"540\": 2,\n",
|
|
" \"541\": 1,\n",
|
|
" \"542\": 1,\n",
|
|
" \"543\": 1,\n",
|
|
" \"544\": 2,\n",
|
|
" \"545\": 1,\n",
|
|
" \"546\": 1,\n",
|
|
" \"547\": 1,\n",
|
|
" \"548\": 1,\n",
|
|
" \"549\": 1,\n",
|
|
" \"550\": 13,\n",
|
|
" \"551\": 1,\n",
|
|
" \"552\": 1,\n",
|
|
" \"553\": 2,\n",
|
|
" \"554\": 1,\n",
|
|
" \"555\": 6,\n",
|
|
" \"556\": 5,\n",
|
|
" \"557\": 2,\n",
|
|
" \"558\": 2,\n",
|
|
" \"559\": 2,\n",
|
|
" \"560\": 7,\n",
|
|
" \"561\": 4,\n",
|
|
" \"562\": 3,\n",
|
|
" \"563\": 5,\n",
|
|
" \"564\": 3,\n",
|
|
" \"565\": 2,\n",
|
|
" \"566\": 3,\n",
|
|
" \"567\": 1,\n",
|
|
" \"568\": 1,\n",
|
|
" \"569\": 2,\n",
|
|
" \"570\": 3,\n",
|
|
" \"571\": 1,\n",
|
|
" \"572\": 1,\n",
|
|
" \"573\": 1,\n",
|
|
" \"574\": 1,\n",
|
|
" \"575\": 12,\n",
|
|
" \"576\": 4,\n",
|
|
" \"577\": 5,\n",
|
|
" \"578\": 3,\n",
|
|
" \"579\": 6,\n",
|
|
" \"580\": 6,\n",
|
|
" \"581\": 5,\n",
|
|
" \"582\": 3,\n",
|
|
" \"583\": 2,\n",
|
|
" \"584\": 3,\n",
|
|
" \"585\": 3,\n",
|
|
" \"586\": 15,\n",
|
|
" \"587\": 27,\n",
|
|
" \"588\": 3,\n",
|
|
" \"589\": 2,\n",
|
|
" \"590\": 1,\n",
|
|
" \"591\": 2,\n",
|
|
" \"592\": 2,\n",
|
|
" \"593\": 2,\n",
|
|
" \"594\": 1,\n",
|
|
" \"595\": 2,\n",
|
|
" \"596\": 4,\n",
|
|
" \"597\": 5,\n",
|
|
" \"598\": 5,\n",
|
|
" \"599\": 8,\n",
|
|
" \"600\": 4,\n",
|
|
" \"601\": 3,\n",
|
|
" \"602\": 1,\n",
|
|
" \"603\": 2,\n",
|
|
" \"604\": 1,\n",
|
|
" \"605\": 1,\n",
|
|
" \"606\": 1,\n",
|
|
" \"607\": 2,\n",
|
|
" \"608\": 1,\n",
|
|
" \"609\": 1,\n",
|
|
" \"610\": 1,\n",
|
|
" \"611\": 1,\n",
|
|
" \"612\": 1,\n",
|
|
" \"613\": 13,\n",
|
|
" \"614\": 1,\n",
|
|
" \"615\": 1,\n",
|
|
" \"616\": 2,\n",
|
|
" \"617\": 1,\n",
|
|
" \"618\": 6,\n",
|
|
" \"619\": 5,\n",
|
|
" \"620\": 2,\n",
|
|
" \"621\": 2,\n",
|
|
" \"622\": 2,\n",
|
|
" \"623\": 7,\n",
|
|
" \"624\": 4,\n",
|
|
" \"625\": 3,\n",
|
|
" \"626\": 5,\n",
|
|
" \"627\": 3,\n",
|
|
" \"628\": 2,\n",
|
|
" \"629\": 3,\n",
|
|
" \"630\": 1,\n",
|
|
" \"631\": 1,\n",
|
|
" \"632\": 2,\n",
|
|
" \"633\": 3,\n",
|
|
" \"634\": 1,\n",
|
|
" \"635\": 1,\n",
|
|
" \"636\": 1,\n",
|
|
" \"637\": 1,\n",
|
|
" \"638\": 12,\n",
|
|
" \"639\": 4,\n",
|
|
" \"640\": 5,\n",
|
|
" \"641\": 3,\n",
|
|
" \"642\": 6,\n",
|
|
" \"643\": 6,\n",
|
|
" \"644\": 5,\n",
|
|
" \"645\": 3,\n",
|
|
" \"646\": 2,\n",
|
|
" \"647\": 3,\n",
|
|
" \"648\": 3,\n",
|
|
" \"649\": 15,\n",
|
|
" \"650\": 27,\n",
|
|
" \"651\": 3,\n",
|
|
" \"652\": 2,\n",
|
|
" \"653\": 1,\n",
|
|
" \"654\": 2,\n",
|
|
" \"655\": 2,\n",
|
|
" \"656\": 2,\n",
|
|
" \"657\": 1,\n",
|
|
" \"658\": 2,\n",
|
|
" \"659\": 4,\n",
|
|
" \"660\": 5,\n",
|
|
" \"661\": 5,\n",
|
|
" \"662\": 8,\n",
|
|
" \"663\": 4,\n",
|
|
" \"664\": 3,\n",
|
|
" \"665\": 1,\n",
|
|
" \"666\": 2,\n",
|
|
" \"667\": 1,\n",
|
|
" \"668\": 1,\n",
|
|
" \"669\": 1,\n",
|
|
" \"670\": 2,\n",
|
|
" \"671\": 1,\n",
|
|
" \"672\": 1,\n",
|
|
" \"673\": 1,\n",
|
|
" \"674\": 1,\n",
|
|
" \"675\": 1,\n",
|
|
" \"676\": 13,\n",
|
|
" \"677\": 1,\n",
|
|
" \"678\": 1,\n",
|
|
" \"679\": 2,\n",
|
|
" \"680\": 1,\n",
|
|
" \"681\": 6,\n",
|
|
" \"682\": 5,\n",
|
|
" \"683\": 2,\n",
|
|
" \"684\": 2,\n",
|
|
" \"685\": 2,\n",
|
|
" \"686\": 7,\n",
|
|
" \"687\": 4,\n",
|
|
" \"688\": 3,\n",
|
|
" \"689\": 5,\n",
|
|
" \"690\": 3,\n",
|
|
" \"691\": 2,\n",
|
|
" \"692\": 3,\n",
|
|
" \"693\": 1,\n",
|
|
" \"694\": 1,\n",
|
|
" \"695\": 2,\n",
|
|
" \"696\": 3,\n",
|
|
" \"697\": 1,\n",
|
|
" \"698\": 1,\n",
|
|
" \"699\": 1,\n",
|
|
" \"700\": 1,\n",
|
|
" \"701\": 12,\n",
|
|
" \"702\": 4,\n",
|
|
" \"703\": 5,\n",
|
|
" \"704\": 3,\n",
|
|
" \"705\": 6,\n",
|
|
" \"706\": 6,\n",
|
|
" \"707\": 5,\n",
|
|
" \"708\": 3,\n",
|
|
" \"709\": 2,\n",
|
|
" \"710\": 3,\n",
|
|
" \"711\": 3,\n",
|
|
" \"712\": 15,\n",
|
|
" \"713\": 27,\n",
|
|
" \"714\": 3,\n",
|
|
" \"715\": 2,\n",
|
|
" \"716\": 1,\n",
|
|
" \"717\": 2,\n",
|
|
" \"718\": 2,\n",
|
|
" \"719\": 2,\n",
|
|
" \"720\": 1,\n",
|
|
" \"721\": 2,\n",
|
|
" \"722\": 4,\n",
|
|
" \"723\": 5,\n",
|
|
" \"724\": 5,\n",
|
|
" \"725\": 8,\n",
|
|
" \"726\": 4,\n",
|
|
" \"727\": 3,\n",
|
|
" \"728\": 1,\n",
|
|
" \"729\": 2,\n",
|
|
" \"730\": 1,\n",
|
|
" \"731\": 1,\n",
|
|
" \"732\": 1,\n",
|
|
" \"733\": 2,\n",
|
|
" \"734\": 1,\n",
|
|
" \"735\": 1,\n",
|
|
" \"736\": 1,\n",
|
|
" \"737\": 1,\n",
|
|
" \"738\": 1,\n",
|
|
" \"739\": 13,\n",
|
|
" \"740\": 1,\n",
|
|
" \"741\": 1,\n",
|
|
" \"742\": 2,\n",
|
|
" \"743\": 1,\n",
|
|
" \"744\": 6,\n",
|
|
" \"745\": 5,\n",
|
|
" \"746\": 2,\n",
|
|
" \"747\": 2,\n",
|
|
" \"748\": 2,\n",
|
|
" \"749\": 7,\n",
|
|
" \"750\": 4,\n",
|
|
" \"751\": 3,\n",
|
|
" \"752\": 5,\n",
|
|
" \"753\": 3,\n",
|
|
" \"754\": 2,\n",
|
|
" \"755\": 3,\n",
|
|
" \"756\": 1,\n",
|
|
" \"757\": 1,\n",
|
|
" \"758\": 2,\n",
|
|
" \"759\": 3,\n",
|
|
" \"760\": 1,\n",
|
|
" \"761\": 1,\n",
|
|
" \"762\": 1,\n",
|
|
" \"763\": 1,\n",
|
|
" \"764\": 12,\n",
|
|
" \"765\": 4,\n",
|
|
" \"766\": 5,\n",
|
|
" \"767\": 3,\n",
|
|
" \"768\": 6,\n",
|
|
" \"769\": 6,\n",
|
|
" \"770\": 5,\n",
|
|
" \"771\": 3,\n",
|
|
" \"772\": 2,\n",
|
|
" \"773\": 3,\n",
|
|
" \"774\": 3,\n",
|
|
" \"775\": 15,\n",
|
|
" \"776\": 27,\n",
|
|
" \"777\": 3,\n",
|
|
" \"778\": 2,\n",
|
|
" \"779\": 1,\n",
|
|
" \"780\": 2,\n",
|
|
" \"781\": 2,\n",
|
|
" \"782\": 2,\n",
|
|
" \"783\": 1,\n",
|
|
" \"784\": 2,\n",
|
|
" \"785\": 4,\n",
|
|
" \"786\": 5,\n",
|
|
" \"787\": 5,\n",
|
|
" \"788\": 8,\n",
|
|
" \"789\": 4,\n",
|
|
" \"790\": 3,\n",
|
|
" \"791\": 1,\n",
|
|
" \"792\": 2,\n",
|
|
" \"793\": 1,\n",
|
|
" \"794\": 1,\n",
|
|
" \"795\": 1,\n",
|
|
" \"796\": 2,\n",
|
|
" \"797\": 1,\n",
|
|
" \"798\": 1,\n",
|
|
" \"799\": 1,\n",
|
|
" \"800\": 1,\n",
|
|
" \"801\": 1,\n",
|
|
" \"802\": 13,\n",
|
|
" \"803\": 1,\n",
|
|
" \"804\": 1,\n",
|
|
" \"805\": 2,\n",
|
|
" \"806\": 1,\n",
|
|
" \"807\": 6,\n",
|
|
" \"808\": 5,\n",
|
|
" \"809\": 2,\n",
|
|
" \"810\": 2,\n",
|
|
" \"811\": 2,\n",
|
|
" \"812\": 7,\n",
|
|
" \"813\": 4,\n",
|
|
" \"814\": 3,\n",
|
|
" \"815\": 5,\n",
|
|
" \"816\": 3,\n",
|
|
" \"817\": 2,\n",
|
|
" \"818\": 3,\n",
|
|
" \"819\": 1,\n",
|
|
" \"820\": 1,\n",
|
|
" \"821\": 2,\n",
|
|
" \"822\": 3,\n",
|
|
" \"823\": 1,\n",
|
|
" \"824\": 1,\n",
|
|
" \"825\": 1,\n",
|
|
" \"826\": 1,\n",
|
|
" \"827\": 12,\n",
|
|
" \"828\": 4,\n",
|
|
" \"829\": 5,\n",
|
|
" \"830\": 3,\n",
|
|
" \"831\": 6,\n",
|
|
" \"832\": 6,\n",
|
|
" \"833\": 5,\n",
|
|
" \"834\": 3,\n",
|
|
" \"835\": 2,\n",
|
|
" \"836\": 3,\n",
|
|
" \"837\": 3,\n",
|
|
" \"838\": 15,\n",
|
|
" \"839\": 27,\n",
|
|
" \"840\": 3,\n",
|
|
" \"841\": 2,\n",
|
|
" \"842\": 1,\n",
|
|
" \"843\": 2,\n",
|
|
" \"844\": 2,\n",
|
|
" \"845\": 2,\n",
|
|
" \"846\": 1,\n",
|
|
" \"847\": 2,\n",
|
|
" \"848\": 4,\n",
|
|
" \"849\": 5,\n",
|
|
" \"850\": 5,\n",
|
|
" \"851\": 8,\n",
|
|
" \"852\": 4,\n",
|
|
" \"853\": 3,\n",
|
|
" \"854\": 1,\n",
|
|
" \"855\": 2,\n",
|
|
" \"856\": 1,\n",
|
|
" \"857\": 1,\n",
|
|
" \"858\": 1,\n",
|
|
" \"859\": 2,\n",
|
|
" \"860\": 1,\n",
|
|
" \"861\": 1,\n",
|
|
" \"862\": 1,\n",
|
|
" \"863\": 1,\n",
|
|
" \"864\": 1,\n",
|
|
" \"865\": 13,\n",
|
|
" \"866\": 1,\n",
|
|
" \"867\": 1,\n",
|
|
" \"868\": 2,\n",
|
|
" \"869\": 1,\n",
|
|
" \"870\": 6,\n",
|
|
" \"871\": 5,\n",
|
|
" \"872\": 2,\n",
|
|
" \"873\": 2,\n",
|
|
" \"874\": 2,\n",
|
|
" \"875\": 7,\n",
|
|
" \"876\": 4,\n",
|
|
" \"877\": 3,\n",
|
|
" \"878\": 5,\n",
|
|
" \"879\": 3,\n",
|
|
" \"880\": 2,\n",
|
|
" \"881\": 3,\n",
|
|
" \"882\": 1,\n",
|
|
" \"883\": 1,\n",
|
|
" \"884\": 2,\n",
|
|
" \"885\": 3,\n",
|
|
" \"886\": 1,\n",
|
|
" \"887\": 1,\n",
|
|
" \"888\": 1,\n",
|
|
" \"889\": 1,\n",
|
|
" \"890\": 12,\n",
|
|
" \"891\": 4,\n",
|
|
" \"892\": 5,\n",
|
|
" \"893\": 3,\n",
|
|
" \"894\": 6,\n",
|
|
" \"895\": 6,\n",
|
|
" \"896\": 5,\n",
|
|
" \"897\": 3,\n",
|
|
" \"898\": 2,\n",
|
|
" \"899\": 3,\n",
|
|
" \"900\": 3,\n",
|
|
" \"901\": 15,\n",
|
|
" \"902\": 27,\n",
|
|
" \"903\": 3,\n",
|
|
" \"904\": 2,\n",
|
|
" \"905\": 1,\n",
|
|
" \"906\": 2,\n",
|
|
" \"907\": 2,\n",
|
|
" \"908\": 2,\n",
|
|
" \"909\": 1,\n",
|
|
" \"910\": 2,\n",
|
|
" \"911\": 4,\n",
|
|
" \"912\": 5,\n",
|
|
" \"913\": 5,\n",
|
|
" \"914\": 8,\n",
|
|
" \"915\": 4,\n",
|
|
" \"916\": 3,\n",
|
|
" \"917\": 1,\n",
|
|
" \"918\": 2,\n",
|
|
" \"919\": 1,\n",
|
|
" \"920\": 1,\n",
|
|
" \"921\": 1,\n",
|
|
" \"922\": 2,\n",
|
|
" \"923\": 1,\n",
|
|
" \"924\": 1,\n",
|
|
" \"925\": 1,\n",
|
|
" \"926\": 1,\n",
|
|
" \"927\": 1,\n",
|
|
" \"928\": 13,\n",
|
|
" \"929\": 1,\n",
|
|
" \"930\": 1,\n",
|
|
" \"931\": 2,\n",
|
|
" \"932\": 1,\n",
|
|
" \"933\": 6,\n",
|
|
" \"934\": 5,\n",
|
|
" \"935\": 2,\n",
|
|
" \"936\": 2,\n",
|
|
" \"937\": 2,\n",
|
|
" \"938\": 7,\n",
|
|
" \"939\": 4,\n",
|
|
" \"940\": 3,\n",
|
|
" \"941\": 5,\n",
|
|
" \"942\": 3,\n",
|
|
" \"943\": 2,\n",
|
|
" \"944\": 3,\n",
|
|
" \"945\": 1,\n",
|
|
" \"946\": 1,\n",
|
|
" \"947\": 2,\n",
|
|
" \"948\": 3,\n",
|
|
" \"949\": 1,\n",
|
|
" \"950\": 1,\n",
|
|
" \"951\": 1,\n",
|
|
" \"952\": 1,\n",
|
|
" \"953\": 12,\n",
|
|
" \"954\": 4,\n",
|
|
" \"955\": 5,\n",
|
|
" \"956\": 3,\n",
|
|
" \"957\": 6,\n",
|
|
" \"958\": 6,\n",
|
|
" \"959\": 5,\n",
|
|
" \"960\": 3,\n",
|
|
" \"961\": 2,\n",
|
|
" \"962\": 3,\n",
|
|
" \"963\": 3,\n",
|
|
" \"964\": 15,\n",
|
|
" \"965\": 27,\n",
|
|
" \"966\": 3,\n",
|
|
" \"967\": 2,\n",
|
|
" \"968\": 1,\n",
|
|
" \"969\": 2,\n",
|
|
" \"970\": 2,\n",
|
|
" \"971\": 2,\n",
|
|
" \"972\": 1,\n",
|
|
" \"973\": 2,\n",
|
|
" \"974\": 4,\n",
|
|
" \"975\": 5,\n",
|
|
" \"976\": 5,\n",
|
|
" \"977\": 8,\n",
|
|
" \"978\": 4,\n",
|
|
" \"979\": 3,\n",
|
|
" \"980\": 1,\n",
|
|
" \"981\": 2,\n",
|
|
" \"982\": 1,\n",
|
|
" \"983\": 1,\n",
|
|
" \"984\": 1,\n",
|
|
" \"985\": 2,\n",
|
|
" \"986\": 1,\n",
|
|
" \"987\": 1,\n",
|
|
" \"988\": 1,\n",
|
|
" \"989\": 1,\n",
|
|
" \"990\": 1,\n",
|
|
" \"991\": 13,\n",
|
|
" \"992\": 1,\n",
|
|
" \"993\": 1,\n",
|
|
" \"994\": 2,\n",
|
|
" \"995\": 1,\n",
|
|
" \"996\": 6,\n",
|
|
" \"997\": 5,\n",
|
|
" \"998\": 2,\n",
|
|
" \"999\": 2,\n",
|
|
" \"1000\": 2,\n",
|
|
" \"1001\": 7,\n",
|
|
" \"1002\": 4,\n",
|
|
" \"1003\": 3,\n",
|
|
" \"1004\": 5,\n",
|
|
" \"1005\": 3,\n",
|
|
" \"1006\": 2,\n",
|
|
" \"1007\": 3,\n",
|
|
" \"1008\": 1,\n",
|
|
" \"1009\": 1,\n",
|
|
" \"1010\": 2,\n",
|
|
" \"1011\": 3,\n",
|
|
" \"1012\": 1,\n",
|
|
" \"1013\": 1,\n",
|
|
" \"1014\": 1,\n",
|
|
" \"1015\": 1,\n",
|
|
" \"1016\": 12,\n",
|
|
" \"1017\": 4,\n",
|
|
" \"1018\": 5,\n",
|
|
" \"1019\": 3,\n",
|
|
" \"1020\": 6,\n",
|
|
" \"1021\": 6,\n",
|
|
" \"1022\": 5,\n",
|
|
" \"1023\": 3,\n",
|
|
" \"1024\": 2,\n",
|
|
" \"1025\": 3,\n",
|
|
" \"1026\": 3,\n",
|
|
" \"1027\": 15,\n",
|
|
" \"1028\": 27,\n",
|
|
" \"1029\": 3,\n",
|
|
" \"1030\": 2,\n",
|
|
" \"1031\": 1,\n",
|
|
" \"1032\": 2,\n",
|
|
" \"1033\": 2,\n",
|
|
" \"1034\": 2,\n",
|
|
" \"1035\": 1,\n",
|
|
" \"1036\": 2,\n",
|
|
" \"1037\": 4,\n",
|
|
" \"1038\": 5,\n",
|
|
" \"1039\": 5,\n",
|
|
" \"1040\": 8,\n",
|
|
" \"1041\": 4,\n",
|
|
" \"1042\": 3,\n",
|
|
" \"1043\": 1,\n",
|
|
" \"1044\": 2,\n",
|
|
" \"1045\": 1,\n",
|
|
" \"1046\": 1,\n",
|
|
" \"1047\": 1,\n",
|
|
" \"1048\": 2,\n",
|
|
" \"1049\": 1,\n",
|
|
" \"1050\": 1,\n",
|
|
" \"1051\": 1,\n",
|
|
" \"1052\": 1,\n",
|
|
" \"1053\": 1,\n",
|
|
" \"1054\": 13,\n",
|
|
" \"1055\": 1,\n",
|
|
" \"1056\": 1,\n",
|
|
" \"1057\": 2,\n",
|
|
" \"1058\": 1,\n",
|
|
" \"1059\": 6,\n",
|
|
" \"1060\": 5,\n",
|
|
" \"1061\": 2,\n",
|
|
" \"1062\": 2,\n",
|
|
" \"1063\": 2,\n",
|
|
" \"1064\": 7,\n",
|
|
" \"1065\": 4,\n",
|
|
" \"1066\": 3,\n",
|
|
" \"1067\": 5,\n",
|
|
" \"1068\": 3,\n",
|
|
" \"1069\": 2,\n",
|
|
" \"1070\": 3,\n",
|
|
" \"1071\": 1,\n",
|
|
" \"1072\": 1,\n",
|
|
" \"1073\": 2,\n",
|
|
" \"1074\": 3,\n",
|
|
" \"1075\": 1,\n",
|
|
" \"1076\": 1,\n",
|
|
" \"1077\": 1,\n",
|
|
" \"1078\": 1,\n",
|
|
" \"1079\": 12,\n",
|
|
" \"1080\": 4,\n",
|
|
" \"1081\": 5,\n",
|
|
" \"1082\": 3,\n",
|
|
" \"1083\": 6,\n",
|
|
" \"1084\": 6,\n",
|
|
" \"1085\": 5,\n",
|
|
" \"1086\": 3,\n",
|
|
" \"1087\": 2,\n",
|
|
" \"1088\": 3,\n",
|
|
" \"1089\": 3,\n",
|
|
" \"1090\": 15,\n",
|
|
" \"1091\": 27,\n",
|
|
" \"1092\": 3,\n",
|
|
" \"1093\": 2,\n",
|
|
" \"1094\": 1,\n",
|
|
" \"1095\": 2,\n",
|
|
" \"1096\": 2,\n",
|
|
" \"1097\": 2,\n",
|
|
" \"1098\": 1,\n",
|
|
" \"1099\": 2,\n",
|
|
" \"1100\": 4,\n",
|
|
" \"1101\": 5,\n",
|
|
" \"1102\": 5,\n",
|
|
" \"1103\": 8,\n",
|
|
" \"1104\": 4,\n",
|
|
" \"1105\": 3,\n",
|
|
" \"1106\": 1,\n",
|
|
" \"1107\": 2,\n",
|
|
" \"1108\": 1,\n",
|
|
" \"1109\": 1,\n",
|
|
" \"1110\": 1,\n",
|
|
" \"1111\": 2,\n",
|
|
" \"1112\": 1,\n",
|
|
" \"1113\": 1,\n",
|
|
" \"1114\": 1,\n",
|
|
" \"1115\": 1,\n",
|
|
" \"1116\": 1,\n",
|
|
" \"1117\": 13,\n",
|
|
" \"1118\": 1,\n",
|
|
" \"1119\": 1,\n",
|
|
" \"1120\": 2,\n",
|
|
" \"1121\": 1,\n",
|
|
" \"1122\": 6,\n",
|
|
" \"1123\": 5,\n",
|
|
" \"1124\": 2,\n",
|
|
" \"1125\": 2,\n",
|
|
" \"1126\": 2,\n",
|
|
" \"1127\": 7,\n",
|
|
" \"1128\": 4,\n",
|
|
" \"1129\": 3,\n",
|
|
" \"1130\": 5,\n",
|
|
" \"1131\": 3,\n",
|
|
" \"1132\": 2,\n",
|
|
" \"1133\": 3,\n",
|
|
" \"1134\": 1,\n",
|
|
" \"1135\": 1,\n",
|
|
" \"1136\": 2,\n",
|
|
" \"1137\": 3,\n",
|
|
" \"1138\": 1,\n",
|
|
" \"1139\": 1,\n",
|
|
" \"1140\": 1,\n",
|
|
" \"1141\": 1,\n",
|
|
" \"1142\": 12,\n",
|
|
" \"1143\": 4,\n",
|
|
" \"1144\": 5,\n",
|
|
" \"1145\": 3,\n",
|
|
" \"1146\": 6,\n",
|
|
" \"1147\": 6,\n",
|
|
" \"1148\": 5,\n",
|
|
" \"1149\": 3,\n",
|
|
" \"1150\": 2,\n",
|
|
" \"1151\": 3,\n",
|
|
" \"1152\": 3,\n",
|
|
" \"1153\": 15,\n",
|
|
" \"1154\": 27,\n",
|
|
" \"1155\": 3,\n",
|
|
" \"1156\": 2,\n",
|
|
" \"1157\": 1,\n",
|
|
" \"1158\": 2,\n",
|
|
" \"1159\": 2,\n",
|
|
" \"1160\": 2,\n",
|
|
" \"1161\": 1,\n",
|
|
" \"1162\": 2,\n",
|
|
" \"1163\": 4,\n",
|
|
" \"1164\": 5,\n",
|
|
" \"1165\": 5,\n",
|
|
" \"1166\": 8,\n",
|
|
" \"1167\": 4,\n",
|
|
" \"1168\": 3,\n",
|
|
" \"1169\": 1,\n",
|
|
" \"1170\": 2,\n",
|
|
" \"1171\": 1,\n",
|
|
" \"1172\": 1,\n",
|
|
" \"1173\": 1,\n",
|
|
" \"1174\": 2,\n",
|
|
" \"1175\": 1,\n",
|
|
" \"1176\": 1,\n",
|
|
" \"1177\": 1,\n",
|
|
" \"1178\": 1,\n",
|
|
" \"1179\": 1,\n",
|
|
" \"1180\": 13,\n",
|
|
" \"1181\": 1,\n",
|
|
" \"1182\": 1,\n",
|
|
" \"1183\": 2,\n",
|
|
" \"1184\": 1,\n",
|
|
" \"1185\": 6,\n",
|
|
" \"1186\": 5,\n",
|
|
" \"1187\": 2,\n",
|
|
" \"1188\": 2,\n",
|
|
" \"1189\": 2,\n",
|
|
" \"1190\": 7,\n",
|
|
" \"1191\": 4,\n",
|
|
" \"1192\": 3,\n",
|
|
" \"1193\": 5,\n",
|
|
" \"1194\": 3,\n",
|
|
" \"1195\": 2,\n",
|
|
" \"1196\": 3,\n",
|
|
" \"1197\": 1,\n",
|
|
" \"1198\": 1,\n",
|
|
" \"1199\": 2,\n",
|
|
" \"1200\": 3,\n",
|
|
" \"1201\": 1,\n",
|
|
" \"1202\": 1,\n",
|
|
" \"1203\": 1,\n",
|
|
" \"1204\": 1,\n",
|
|
" \"1205\": 12,\n",
|
|
" \"1206\": 4,\n",
|
|
" \"1207\": 5,\n",
|
|
" \"1208\": 3,\n",
|
|
" \"1209\": 6,\n",
|
|
" \"1210\": 6,\n",
|
|
" \"1211\": 5,\n",
|
|
" \"1212\": 3,\n",
|
|
" \"1213\": 2,\n",
|
|
" \"1214\": 3,\n",
|
|
" \"1215\": 3,\n",
|
|
" \"1216\": 15,\n",
|
|
" \"1217\": 27,\n",
|
|
" \"1218\": 3,\n",
|
|
" \"1219\": 2,\n",
|
|
" \"1220\": 1,\n",
|
|
" \"1221\": 2,\n",
|
|
" \"1222\": 2,\n",
|
|
" \"1223\": 2,\n",
|
|
" \"1224\": 1,\n",
|
|
" \"1225\": 2,\n",
|
|
" \"1226\": 4,\n",
|
|
" \"1227\": 5,\n",
|
|
" \"1228\": 5,\n",
|
|
" \"1229\": 8,\n",
|
|
" \"1230\": 4,\n",
|
|
" \"1231\": 3,\n",
|
|
" \"1232\": 1,\n",
|
|
" \"1233\": 2,\n",
|
|
" \"1234\": 1,\n",
|
|
" \"1235\": 1,\n",
|
|
" \"1236\": 1,\n",
|
|
" \"1237\": 2,\n",
|
|
" \"1238\": 1,\n",
|
|
" \"1239\": 1,\n",
|
|
" \"1240\": 1,\n",
|
|
" \"1241\": 1,\n",
|
|
" \"1242\": 1,\n",
|
|
" \"1243\": 13,\n",
|
|
" \"1244\": 1,\n",
|
|
" \"1245\": 1,\n",
|
|
" \"1246\": 2,\n",
|
|
" \"1247\": 1,\n",
|
|
" \"1248\": 6,\n",
|
|
" \"1249\": 5,\n",
|
|
" \"1250\": 2,\n",
|
|
" \"1251\": 2,\n",
|
|
" \"1252\": 2,\n",
|
|
" \"1253\": 7,\n",
|
|
" \"1254\": 4,\n",
|
|
" \"1255\": 3,\n",
|
|
" \"1256\": 5,\n",
|
|
" \"1257\": 3,\n",
|
|
" \"1258\": 2,\n",
|
|
" \"1259\": 3,\n",
|
|
" \"1260\": 1,\n",
|
|
" \"1261\": 1,\n",
|
|
" \"1262\": 2,\n",
|
|
" \"1263\": 3,\n",
|
|
" \"1264\": 1,\n",
|
|
" \"1265\": 1,\n",
|
|
" \"1266\": 1,\n",
|
|
" \"1267\": 1,\n",
|
|
" \"1268\": 12,\n",
|
|
" \"1269\": 4,\n",
|
|
" \"1270\": 5,\n",
|
|
" \"1271\": 3,\n",
|
|
" \"1272\": 6,\n",
|
|
" \"1273\": 6,\n",
|
|
" \"1274\": 5,\n",
|
|
" \"1275\": 3,\n",
|
|
" \"1276\": 2,\n",
|
|
" \"1277\": 3,\n",
|
|
" \"1278\": 3,\n",
|
|
" \"1279\": 15,\n",
|
|
" \"1280\": 27,\n",
|
|
" \"1281\": 3,\n",
|
|
" \"1282\": 2,\n",
|
|
" \"1283\": 1,\n",
|
|
" \"1284\": 2,\n",
|
|
" \"1285\": 2,\n",
|
|
" \"1286\": 2,\n",
|
|
" \"1287\": 1,\n",
|
|
" \"1288\": 2,\n",
|
|
" \"1289\": 4,\n",
|
|
" \"1290\": 5,\n",
|
|
" \"1291\": 5,\n",
|
|
" \"1292\": 8,\n",
|
|
" \"1293\": 4,\n",
|
|
" \"1294\": 3,\n",
|
|
" \"1295\": 1,\n",
|
|
" \"1296\": 2,\n",
|
|
" \"1297\": 1,\n",
|
|
" \"1298\": 1,\n",
|
|
" \"1299\": 1,\n",
|
|
" \"1300\": 2,\n",
|
|
" \"1301\": 1,\n",
|
|
" \"1302\": 1,\n",
|
|
" \"1303\": 1,\n",
|
|
" \"1304\": 1,\n",
|
|
" \"1305\": 1,\n",
|
|
" \"1306\": 13,\n",
|
|
" \"1307\": 1,\n",
|
|
" \"1308\": 1,\n",
|
|
" \"1309\": 2,\n",
|
|
" \"1310\": 1,\n",
|
|
" \"1311\": 6,\n",
|
|
" \"1312\": 5,\n",
|
|
" \"1313\": 2,\n",
|
|
" \"1314\": 2,\n",
|
|
" \"1315\": 2,\n",
|
|
" \"1316\": 7,\n",
|
|
" \"1317\": 4,\n",
|
|
" \"1318\": 3,\n",
|
|
" \"1319\": 5,\n",
|
|
" \"1320\": 3,\n",
|
|
" \"1321\": 2,\n",
|
|
" \"1322\": 3,\n",
|
|
" \"1323\": 1,\n",
|
|
" \"1324\": 1,\n",
|
|
" \"1325\": 2,\n",
|
|
" \"1326\": 3,\n",
|
|
" \"1327\": 1,\n",
|
|
" \"1328\": 1,\n",
|
|
" \"1329\": 1,\n",
|
|
" \"1330\": 1,\n",
|
|
" \"1331\": 12,\n",
|
|
" \"1332\": 4,\n",
|
|
" \"1333\": 5,\n",
|
|
" \"1334\": 3,\n",
|
|
" \"1335\": 6,\n",
|
|
" \"1336\": 6,\n",
|
|
" \"1337\": 5,\n",
|
|
" \"1338\": 3,\n",
|
|
" \"1339\": 2,\n",
|
|
" \"1340\": 3,\n",
|
|
" \"1341\": 3,\n",
|
|
" \"1342\": 15,\n",
|
|
" \"1343\": 27,\n",
|
|
" \"1344\": 3,\n",
|
|
" \"1345\": 2,\n",
|
|
" \"1346\": 1,\n",
|
|
" \"1347\": 2,\n",
|
|
" \"1348\": 2,\n",
|
|
" \"1349\": 2,\n",
|
|
" \"1350\": 1,\n",
|
|
" \"1351\": 2,\n",
|
|
" \"1352\": 4,\n",
|
|
" \"1353\": 5,\n",
|
|
" \"1354\": 5,\n",
|
|
" \"1355\": 8,\n",
|
|
" \"1356\": 4,\n",
|
|
" \"1357\": 3,\n",
|
|
" \"1358\": 1,\n",
|
|
" \"1359\": 2,\n",
|
|
" \"1360\": 1,\n",
|
|
" \"1361\": 1,\n",
|
|
" \"1362\": 1,\n",
|
|
" \"1363\": 2,\n",
|
|
" \"1364\": 1,\n",
|
|
" \"1365\": 1,\n",
|
|
" \"1366\": 1,\n",
|
|
" \"1367\": 1,\n",
|
|
" \"1368\": 1,\n",
|
|
" \"1369\": 13,\n",
|
|
" \"1370\": 1,\n",
|
|
" \"1371\": 1,\n",
|
|
" \"1372\": 2,\n",
|
|
" \"1373\": 1,\n",
|
|
" \"1374\": 6,\n",
|
|
" \"1375\": 5,\n",
|
|
" \"1376\": 2,\n",
|
|
" \"1377\": 2,\n",
|
|
" \"1378\": 2,\n",
|
|
" \"1379\": 7,\n",
|
|
" \"1380\": 4,\n",
|
|
" \"1381\": 3,\n",
|
|
" \"1382\": 5,\n",
|
|
" \"1383\": 3,\n",
|
|
" \"1384\": 2,\n",
|
|
" \"1385\": 3,\n",
|
|
" \"1386\": 1,\n",
|
|
" \"1387\": 1,\n",
|
|
" \"1388\": 2,\n",
|
|
" \"1389\": 3,\n",
|
|
" \"1390\": 1,\n",
|
|
" \"1391\": 1,\n",
|
|
" \"1392\": 1,\n",
|
|
" \"1393\": 1,\n",
|
|
" \"1394\": 12,\n",
|
|
" \"1395\": 4,\n",
|
|
" \"1396\": 5,\n",
|
|
" \"1397\": 3,\n",
|
|
" \"1398\": 6,\n",
|
|
" \"1399\": 6,\n",
|
|
" \"1400\": 5,\n",
|
|
" \"1401\": 3,\n",
|
|
" \"1402\": 2,\n",
|
|
" \"1403\": 3,\n",
|
|
" \"1404\": 3,\n",
|
|
" \"1405\": 15,\n",
|
|
" \"1406\": 27,\n",
|
|
" \"1407\": 3,\n",
|
|
" \"1408\": 2,\n",
|
|
" \"1409\": 1,\n",
|
|
" \"1410\": 2,\n",
|
|
" \"1411\": 2,\n",
|
|
" \"1412\": 2,\n",
|
|
" \"1413\": 1,\n",
|
|
" \"1414\": 2,\n",
|
|
" \"1415\": 4,\n",
|
|
" \"1416\": 5,\n",
|
|
" \"1417\": 5,\n",
|
|
" \"1418\": 8,\n",
|
|
" \"1419\": 4,\n",
|
|
" \"1420\": 3,\n",
|
|
" \"1421\": 1,\n",
|
|
" \"1422\": 2,\n",
|
|
" \"1423\": 1,\n",
|
|
" \"1424\": 1,\n",
|
|
" \"1425\": 1,\n",
|
|
" \"1426\": 2,\n",
|
|
" \"1427\": 1,\n",
|
|
" \"1428\": 1,\n",
|
|
" \"1429\": 1,\n",
|
|
" \"1430\": 1,\n",
|
|
" \"1431\": 1,\n",
|
|
" \"1432\": 13,\n",
|
|
" \"1433\": 1,\n",
|
|
" \"1434\": 1,\n",
|
|
" \"1435\": 2,\n",
|
|
" \"1436\": 1,\n",
|
|
" \"1437\": 6,\n",
|
|
" \"1438\": 5,\n",
|
|
" \"1439\": 2,\n",
|
|
" \"1440\": 2,\n",
|
|
" \"1441\": 2,\n",
|
|
" \"1442\": 7,\n",
|
|
" \"1443\": 4,\n",
|
|
" \"1444\": 3,\n",
|
|
" \"1445\": 5,\n",
|
|
" \"1446\": 3,\n",
|
|
" \"1447\": 2,\n",
|
|
" \"1448\": 3,\n",
|
|
" \"1449\": 1,\n",
|
|
" \"1450\": 1,\n",
|
|
" \"1451\": 2,\n",
|
|
" \"1452\": 3,\n",
|
|
" \"1453\": 1,\n",
|
|
" \"1454\": 1,\n",
|
|
" \"1455\": 1,\n",
|
|
" \"1456\": 1,\n",
|
|
" \"1457\": 12,\n",
|
|
" \"1458\": 4,\n",
|
|
" \"1459\": 5,\n",
|
|
" \"1460\": 3,\n",
|
|
" \"1461\": 6,\n",
|
|
" \"1462\": 6,\n",
|
|
" \"1463\": 5,\n",
|
|
" \"1464\": 3,\n",
|
|
" \"1465\": 2,\n",
|
|
" \"1466\": 3,\n",
|
|
" \"1467\": 3,\n",
|
|
" \"1468\": 15,\n",
|
|
" \"1469\": 27,\n",
|
|
" \"1470\": 3,\n",
|
|
" \"1471\": 2,\n",
|
|
" \"1472\": 1,\n",
|
|
" \"1473\": 2,\n",
|
|
" \"1474\": 2,\n",
|
|
" \"1475\": 2,\n",
|
|
" \"1476\": 1,\n",
|
|
" \"1477\": 2,\n",
|
|
" \"1478\": 4,\n",
|
|
" \"1479\": 5,\n",
|
|
" \"1480\": 5,\n",
|
|
" \"1481\": 8,\n",
|
|
" \"1482\": 4,\n",
|
|
" \"1483\": 3,\n",
|
|
" \"1484\": 1,\n",
|
|
" \"1485\": 2,\n",
|
|
" \"1486\": 1,\n",
|
|
" \"1487\": 1,\n",
|
|
" \"1488\": 1,\n",
|
|
" \"1489\": 2,\n",
|
|
" \"1490\": 1,\n",
|
|
" \"1491\": 1,\n",
|
|
" \"1492\": 1,\n",
|
|
" \"1493\": 1,\n",
|
|
" \"1494\": 1,\n",
|
|
" \"1495\": 13,\n",
|
|
" \"1496\": 1,\n",
|
|
" \"1497\": 1,\n",
|
|
" \"1498\": 2,\n",
|
|
" \"1499\": 1,\n",
|
|
" \"1500\": 6,\n",
|
|
" \"1501\": 5,\n",
|
|
" \"1502\": 2,\n",
|
|
" \"1503\": 2,\n",
|
|
" \"1504\": 2,\n",
|
|
" \"1505\": 7,\n",
|
|
" \"1506\": 4,\n",
|
|
" \"1507\": 3,\n",
|
|
" \"1508\": 5,\n",
|
|
" \"1509\": 3,\n",
|
|
" \"1510\": 2,\n",
|
|
" \"1511\": 3,\n",
|
|
" \"1512\": 1,\n",
|
|
" \"1513\": 1,\n",
|
|
" \"1514\": 2,\n",
|
|
" \"1515\": 3,\n",
|
|
" \"1516\": 1,\n",
|
|
" \"1517\": 1,\n",
|
|
" \"1518\": 1,\n",
|
|
" \"1519\": 1,\n",
|
|
" \"1520\": 12,\n",
|
|
" \"1521\": 4,\n",
|
|
" \"1522\": 5,\n",
|
|
" \"1523\": 3,\n",
|
|
" \"1524\": 6,\n",
|
|
" \"1525\": 6,\n",
|
|
" \"1526\": 5,\n",
|
|
" \"1527\": 3,\n",
|
|
" \"1528\": 2,\n",
|
|
" \"1529\": 3,\n",
|
|
" \"1530\": 3,\n",
|
|
" \"1531\": 15,\n",
|
|
" \"1532\": 27,\n",
|
|
" \"1533\": 3,\n",
|
|
" \"1534\": 2,\n",
|
|
" \"1535\": 1,\n",
|
|
" \"1536\": 2,\n",
|
|
" \"1537\": 2,\n",
|
|
" \"1538\": 2,\n",
|
|
" \"1539\": 1,\n",
|
|
" \"1540\": 2,\n",
|
|
" \"1541\": 4,\n",
|
|
" \"1542\": 5,\n",
|
|
" \"1543\": 5,\n",
|
|
" \"1544\": 8,\n",
|
|
" \"1545\": 4,\n",
|
|
" \"1546\": 3,\n",
|
|
" \"1547\": 1,\n",
|
|
" \"1548\": 2,\n",
|
|
" \"1549\": 1,\n",
|
|
" \"1550\": 1,\n",
|
|
" \"1551\": 1,\n",
|
|
" \"1552\": 2,\n",
|
|
" \"1553\": 1,\n",
|
|
" \"1554\": 1,\n",
|
|
" \"1555\": 1,\n",
|
|
" \"1556\": 1,\n",
|
|
" \"1557\": 1,\n",
|
|
" \"1558\": 13,\n",
|
|
" \"1559\": 1,\n",
|
|
" \"1560\": 1,\n",
|
|
" \"1561\": 2,\n",
|
|
" \"1562\": 1,\n",
|
|
" \"1563\": 6,\n",
|
|
" \"1564\": 5,\n",
|
|
" \"1565\": 2,\n",
|
|
" \"1566\": 2,\n",
|
|
" \"1567\": 2,\n",
|
|
" \"1568\": 7,\n",
|
|
" \"1569\": 4,\n",
|
|
" \"1570\": 3,\n",
|
|
" \"1571\": 5,\n",
|
|
" \"1572\": 3,\n",
|
|
" \"1573\": 2,\n",
|
|
" \"1574\": 3,\n",
|
|
" \"1575\": 1,\n",
|
|
" \"1576\": 1,\n",
|
|
" \"1577\": 2,\n",
|
|
" \"1578\": 3,\n",
|
|
" \"1579\": 1,\n",
|
|
" \"1580\": 1,\n",
|
|
" \"1581\": 1,\n",
|
|
" \"1582\": 1,\n",
|
|
" \"1583\": 12,\n",
|
|
" \"1584\": 4,\n",
|
|
" \"1585\": 5,\n",
|
|
" \"1586\": 3,\n",
|
|
" \"1587\": 6,\n",
|
|
" \"1588\": 6,\n",
|
|
" \"1589\": 5,\n",
|
|
" \"1590\": 3,\n",
|
|
" \"1591\": 2,\n",
|
|
" \"1592\": 3,\n",
|
|
" \"1593\": 3,\n",
|
|
" \"1594\": 15,\n",
|
|
" \"1595\": 27,\n",
|
|
" \"1596\": 3,\n",
|
|
" \"1597\": 2,\n",
|
|
" \"1598\": 1,\n",
|
|
" \"1599\": 2,\n",
|
|
" \"1600\": 2,\n",
|
|
" \"1601\": 2,\n",
|
|
" \"1602\": 1,\n",
|
|
" \"1603\": 2,\n",
|
|
" \"1604\": 4,\n",
|
|
" \"1605\": 5,\n",
|
|
" \"1606\": 5,\n",
|
|
" \"1607\": 8,\n",
|
|
" \"1608\": 4,\n",
|
|
" \"1609\": 3,\n",
|
|
" \"1610\": 1,\n",
|
|
" \"1611\": 2,\n",
|
|
" \"1612\": 1,\n",
|
|
" \"1613\": 1,\n",
|
|
" \"1614\": 1,\n",
|
|
" \"1615\": 2,\n",
|
|
" \"1616\": 1,\n",
|
|
" \"1617\": 1,\n",
|
|
" \"1618\": 1,\n",
|
|
" \"1619\": 1,\n",
|
|
" \"1620\": 1,\n",
|
|
" \"1621\": 13,\n",
|
|
" \"1622\": 1,\n",
|
|
" \"1623\": 1,\n",
|
|
" \"1624\": 2,\n",
|
|
" \"1625\": 1,\n",
|
|
" \"1626\": 6,\n",
|
|
" \"1627\": 5,\n",
|
|
" \"1628\": 2,\n",
|
|
" \"1629\": 2,\n",
|
|
" \"1630\": 2,\n",
|
|
" \"1631\": 7,\n",
|
|
" \"1632\": 4,\n",
|
|
" \"1633\": 3,\n",
|
|
" \"1634\": 5,\n",
|
|
" \"1635\": 3,\n",
|
|
" \"1636\": 2,\n",
|
|
" \"1637\": 3,\n",
|
|
" \"1638\": 1,\n",
|
|
" \"1639\": 1,\n",
|
|
" \"1640\": 2,\n",
|
|
" \"1641\": 3,\n",
|
|
" \"1642\": 1,\n",
|
|
" \"1643\": 1,\n",
|
|
" \"1644\": 1,\n",
|
|
" \"1645\": 1,\n",
|
|
" \"1646\": 12,\n",
|
|
" \"1647\": 4,\n",
|
|
" \"1648\": 5,\n",
|
|
" \"1649\": 3,\n",
|
|
" \"1650\": 6,\n",
|
|
" \"1651\": 6,\n",
|
|
" \"1652\": 5,\n",
|
|
" \"1653\": 3,\n",
|
|
" \"1654\": 2,\n",
|
|
" \"1655\": 3,\n",
|
|
" \"1656\": 3,\n",
|
|
" \"1657\": 15,\n",
|
|
" \"1658\": 27,\n",
|
|
" \"1659\": 3,\n",
|
|
" \"1660\": 2,\n",
|
|
" \"1661\": 1,\n",
|
|
" \"1662\": 2,\n",
|
|
" \"1663\": 2,\n",
|
|
" \"1664\": 2,\n",
|
|
" \"1665\": 1,\n",
|
|
" \"1666\": 2,\n",
|
|
" \"1667\": 4,\n",
|
|
" \"1668\": 5,\n",
|
|
" \"1669\": 5,\n",
|
|
" \"1670\": 8,\n",
|
|
" \"1671\": 4,\n",
|
|
" \"1672\": 3,\n",
|
|
" \"1673\": 1,\n",
|
|
" \"1674\": 2,\n",
|
|
" \"1675\": 1,\n",
|
|
" \"1676\": 1,\n",
|
|
" \"1677\": 1,\n",
|
|
" \"1678\": 2,\n",
|
|
" \"1679\": 1,\n",
|
|
" \"1680\": 1,\n",
|
|
" \"1681\": 1,\n",
|
|
" \"1682\": 1,\n",
|
|
" \"1683\": 1,\n",
|
|
" \"1684\": 13,\n",
|
|
" \"1685\": 1,\n",
|
|
" \"1686\": 1,\n",
|
|
" \"1687\": 2,\n",
|
|
" \"1688\": 1,\n",
|
|
" \"1689\": 6,\n",
|
|
" \"1690\": 5,\n",
|
|
" \"1691\": 2,\n",
|
|
" \"1692\": 2,\n",
|
|
" \"1693\": 2,\n",
|
|
" \"1694\": 7,\n",
|
|
" \"1695\": 4,\n",
|
|
" \"1696\": 3,\n",
|
|
" \"1697\": 5,\n",
|
|
" \"1698\": 3,\n",
|
|
" \"1699\": 2,\n",
|
|
" \"1700\": 3,\n",
|
|
" \"1701\": 1,\n",
|
|
" \"1702\": 1,\n",
|
|
" \"1703\": 2,\n",
|
|
" \"1704\": 3,\n",
|
|
" \"1705\": 1,\n",
|
|
" \"1706\": 1,\n",
|
|
" \"1707\": 1,\n",
|
|
" \"1708\": 1,\n",
|
|
" \"1709\": 12,\n",
|
|
" \"1710\": 4,\n",
|
|
" \"1711\": 5,\n",
|
|
" \"1712\": 3,\n",
|
|
" \"1713\": 6,\n",
|
|
" \"1714\": 6,\n",
|
|
" \"1715\": 5,\n",
|
|
" \"1716\": 3,\n",
|
|
" \"1717\": 2,\n",
|
|
" \"1718\": 3,\n",
|
|
" \"1719\": 3,\n",
|
|
" \"1720\": 15,\n",
|
|
" \"1721\": 27,\n",
|
|
" \"1722\": 3,\n",
|
|
" \"1723\": 2,\n",
|
|
" \"1724\": 1,\n",
|
|
" \"1725\": 2,\n",
|
|
" \"1726\": 2,\n",
|
|
" \"1727\": 2,\n",
|
|
" \"1728\": 1,\n",
|
|
" \"1729\": 2,\n",
|
|
" \"1730\": 4,\n",
|
|
" \"1731\": 5,\n",
|
|
" \"1732\": 5,\n",
|
|
" \"1733\": 8,\n",
|
|
" \"1734\": 4,\n",
|
|
" \"1735\": 3,\n",
|
|
" \"1736\": 1,\n",
|
|
" \"1737\": 2,\n",
|
|
" \"1738\": 1,\n",
|
|
" \"1739\": 1,\n",
|
|
" \"1740\": 1,\n",
|
|
" \"1741\": 2,\n",
|
|
" \"1742\": 1,\n",
|
|
" \"1743\": 1,\n",
|
|
" \"1744\": 1,\n",
|
|
" \"1745\": 1,\n",
|
|
" \"1746\": 1,\n",
|
|
" \"1747\": 13,\n",
|
|
" \"1748\": 1,\n",
|
|
" \"1749\": 1,\n",
|
|
" \"1750\": 2,\n",
|
|
" \"1751\": 1,\n",
|
|
" \"1752\": 6,\n",
|
|
" \"1753\": 5,\n",
|
|
" \"1754\": 2,\n",
|
|
" \"1755\": 2,\n",
|
|
" \"1756\": 2,\n",
|
|
" \"1757\": 7,\n",
|
|
" \"1758\": 4,\n",
|
|
" \"1759\": 3,\n",
|
|
" \"1760\": 5,\n",
|
|
" \"1761\": 3,\n",
|
|
" \"1762\": 2,\n",
|
|
" \"1763\": 3,\n",
|
|
" \"1764\": 1,\n",
|
|
" \"1765\": 1,\n",
|
|
" \"1766\": 2,\n",
|
|
" \"1767\": 3,\n",
|
|
" \"1768\": 1,\n",
|
|
" \"1769\": 1,\n",
|
|
" \"1770\": 1,\n",
|
|
" \"1771\": 1,\n",
|
|
" \"1772\": 12,\n",
|
|
" \"1773\": 4,\n",
|
|
" \"1774\": 5,\n",
|
|
" \"1775\": 3,\n",
|
|
" \"1776\": 6,\n",
|
|
" \"1777\": 6,\n",
|
|
" \"1778\": 5,\n",
|
|
" \"1779\": 3,\n",
|
|
" \"1780\": 2,\n",
|
|
" \"1781\": 3,\n",
|
|
" \"1782\": 3,\n",
|
|
" \"1783\": 15,\n",
|
|
" \"1784\": 27,\n",
|
|
" \"1785\": 3,\n",
|
|
" \"1786\": 2,\n",
|
|
" \"1787\": 1,\n",
|
|
" \"1788\": 2,\n",
|
|
" \"1789\": 2,\n",
|
|
" \"1790\": 2,\n",
|
|
" \"1791\": 1,\n",
|
|
" \"1792\": 2,\n",
|
|
" \"1793\": 4,\n",
|
|
" \"1794\": 5,\n",
|
|
" \"1795\": 5,\n",
|
|
" \"1796\": 8,\n",
|
|
" \"1797\": 4,\n",
|
|
" \"1798\": 3,\n",
|
|
" \"1799\": 1,\n",
|
|
" \"1800\": 2,\n",
|
|
" \"1801\": 1,\n",
|
|
" \"1802\": 1,\n",
|
|
" \"1803\": 1,\n",
|
|
" \"1804\": 2,\n",
|
|
" \"1805\": 1,\n",
|
|
" \"1806\": 1,\n",
|
|
" \"1807\": 1,\n",
|
|
" \"1808\": 1,\n",
|
|
" \"1809\": 1,\n",
|
|
" \"1810\": 13,\n",
|
|
" \"1811\": 1,\n",
|
|
" \"1812\": 1,\n",
|
|
" \"1813\": 2,\n",
|
|
" \"1814\": 1,\n",
|
|
" \"1815\": 6,\n",
|
|
" \"1816\": 5,\n",
|
|
" \"1817\": 2,\n",
|
|
" \"1818\": 2,\n",
|
|
" \"1819\": 2,\n",
|
|
" \"1820\": 7,\n",
|
|
" \"1821\": 4,\n",
|
|
" \"1822\": 3,\n",
|
|
" \"1823\": 5,\n",
|
|
" \"1824\": 3,\n",
|
|
" \"1825\": 2,\n",
|
|
" \"1826\": 3,\n",
|
|
" \"1827\": 1,\n",
|
|
" \"1828\": 1,\n",
|
|
" \"1829\": 2,\n",
|
|
" \"1830\": 3,\n",
|
|
" \"1831\": 1,\n",
|
|
" \"1832\": 1,\n",
|
|
" \"1833\": 1,\n",
|
|
" \"1834\": 1,\n",
|
|
" \"1835\": 12,\n",
|
|
" \"1836\": 4,\n",
|
|
" \"1837\": 5,\n",
|
|
" \"1838\": 3,\n",
|
|
" \"1839\": 6,\n",
|
|
" \"1840\": 6,\n",
|
|
" \"1841\": 5,\n",
|
|
" \"1842\": 3,\n",
|
|
" \"1843\": 2,\n",
|
|
" \"1844\": 3,\n",
|
|
" \"1845\": 3,\n",
|
|
" \"1846\": 15,\n",
|
|
" \"1847\": 27,\n",
|
|
" \"1848\": 3,\n",
|
|
" \"1849\": 2,\n",
|
|
" \"1850\": 1,\n",
|
|
" \"1851\": 2,\n",
|
|
" \"1852\": 2,\n",
|
|
" \"1853\": 2,\n",
|
|
" \"1854\": 1,\n",
|
|
" \"1855\": 2,\n",
|
|
" \"1856\": 4,\n",
|
|
" \"1857\": 5,\n",
|
|
" \"1858\": 5,\n",
|
|
" \"1859\": 8,\n",
|
|
" \"1860\": 4,\n",
|
|
" \"1861\": 3,\n",
|
|
" \"1862\": 1,\n",
|
|
" \"1863\": 2,\n",
|
|
" \"1864\": 1,\n",
|
|
" \"1865\": 1,\n",
|
|
" \"1866\": 1,\n",
|
|
" \"1867\": 2,\n",
|
|
" \"1868\": 1,\n",
|
|
" \"1869\": 1,\n",
|
|
" \"1870\": 1,\n",
|
|
" \"1871\": 1,\n",
|
|
" \"1872\": 1,\n",
|
|
" \"1873\": 13,\n",
|
|
" \"1874\": 1,\n",
|
|
" \"1875\": 1,\n",
|
|
" \"1876\": 2,\n",
|
|
" \"1877\": 1,\n",
|
|
" \"1878\": 6,\n",
|
|
" \"1879\": 5,\n",
|
|
" \"1880\": 2,\n",
|
|
" \"1881\": 2,\n",
|
|
" \"1882\": 2,\n",
|
|
" \"1883\": 7,\n",
|
|
" \"1884\": 4,\n",
|
|
" \"1885\": 3,\n",
|
|
" \"1886\": 5,\n",
|
|
" \"1887\": 3,\n",
|
|
" \"1888\": 2,\n",
|
|
" \"1889\": 3,\n",
|
|
" \"1890\": 1,\n",
|
|
" \"1891\": 1,\n",
|
|
" \"1892\": 2,\n",
|
|
" \"1893\": 3,\n",
|
|
" \"1894\": 1,\n",
|
|
" \"1895\": 1,\n",
|
|
" \"1896\": 1,\n",
|
|
" \"1897\": 1,\n",
|
|
" \"1898\": 12,\n",
|
|
" \"1899\": 4,\n",
|
|
" \"1900\": 5,\n",
|
|
" \"1901\": 3,\n",
|
|
" \"1902\": 6,\n",
|
|
" \"1903\": 6,\n",
|
|
" \"1904\": 5,\n",
|
|
" \"1905\": 3,\n",
|
|
" \"1906\": 2,\n",
|
|
" \"1907\": 3,\n",
|
|
" \"1908\": 3,\n",
|
|
" \"1909\": 15,\n",
|
|
" \"1910\": 27,\n",
|
|
" \"1911\": 3,\n",
|
|
" \"1912\": 2,\n",
|
|
" \"1913\": 1,\n",
|
|
" \"1914\": 2,\n",
|
|
" \"1915\": 2,\n",
|
|
" \"1916\": 2,\n",
|
|
" \"1917\": 1,\n",
|
|
" \"1918\": 2,\n",
|
|
" \"1919\": 4,\n",
|
|
" \"1920\": 5,\n",
|
|
" \"1921\": 5,\n",
|
|
" \"1922\": 8,\n",
|
|
" \"1923\": 4,\n",
|
|
" \"1924\": 3,\n",
|
|
" \"1925\": 1,\n",
|
|
" \"1926\": 2,\n",
|
|
" \"1927\": 1,\n",
|
|
" \"1928\": 1,\n",
|
|
" \"1929\": 1,\n",
|
|
" \"1930\": 2,\n",
|
|
" \"1931\": 1,\n",
|
|
" \"1932\": 1,\n",
|
|
" \"1933\": 1,\n",
|
|
" \"1934\": 1,\n",
|
|
" \"1935\": 1,\n",
|
|
" \"1936\": 13,\n",
|
|
" \"1937\": 1,\n",
|
|
" \"1938\": 1,\n",
|
|
" \"1939\": 2,\n",
|
|
" \"1940\": 1,\n",
|
|
" \"1941\": 6,\n",
|
|
" \"1942\": 5,\n",
|
|
" \"1943\": 2,\n",
|
|
" \"1944\": 2,\n",
|
|
" \"1945\": 2,\n",
|
|
" \"1946\": 7,\n",
|
|
" \"1947\": 4,\n",
|
|
" \"1948\": 3,\n",
|
|
" \"1949\": 5,\n",
|
|
" \"1950\": 3,\n",
|
|
" \"1951\": 2,\n",
|
|
" \"1952\": 3,\n",
|
|
" \"1953\": 1,\n",
|
|
" \"1954\": 1,\n",
|
|
" \"1955\": 2,\n",
|
|
" \"1956\": 3,\n",
|
|
" \"1957\": 1,\n",
|
|
" \"1958\": 1,\n",
|
|
" \"1959\": 1,\n",
|
|
" \"1960\": 1,\n",
|
|
" \"1961\": 12,\n",
|
|
" \"1962\": 4,\n",
|
|
" \"1963\": 5,\n",
|
|
" \"1964\": 3,\n",
|
|
" \"1965\": 6,\n",
|
|
" \"1966\": 6,\n",
|
|
" \"1967\": 5,\n",
|
|
" \"1968\": 3,\n",
|
|
" \"1969\": 2,\n",
|
|
" \"1970\": 3,\n",
|
|
" \"1971\": 3,\n",
|
|
" \"1972\": 15,\n",
|
|
" \"1973\": 27,\n",
|
|
" \"1974\": 3,\n",
|
|
" \"1975\": 2,\n",
|
|
" \"1976\": 1,\n",
|
|
" \"1977\": 2,\n",
|
|
" \"1978\": 2,\n",
|
|
" \"1979\": 2,\n",
|
|
" \"1980\": 1,\n",
|
|
" \"1981\": 2,\n",
|
|
" \"1982\": 4,\n",
|
|
" \"1983\": 5,\n",
|
|
" \"1984\": 5,\n",
|
|
" \"1985\": 8,\n",
|
|
" \"1986\": 4,\n",
|
|
" \"1987\": 3,\n",
|
|
" \"1988\": 1,\n",
|
|
" \"1989\": 2,\n",
|
|
" \"1990\": 1,\n",
|
|
" \"1991\": 1,\n",
|
|
" \"1992\": 1,\n",
|
|
" \"1993\": 2,\n",
|
|
" \"1994\": 1,\n",
|
|
" \"1995\": 1,\n",
|
|
" \"1996\": 1,\n",
|
|
" \"1997\": 1,\n",
|
|
" \"1998\": 1,\n",
|
|
" \"1999\": 13,\n",
|
|
" \"2000\": 1,\n",
|
|
" \"2001\": 1,\n",
|
|
" \"2002\": 2,\n",
|
|
" \"2003\": 1,\n",
|
|
" \"2004\": 6,\n",
|
|
" \"2005\": 5,\n",
|
|
" \"2006\": 2,\n",
|
|
" \"2007\": 2,\n",
|
|
" \"2008\": 2,\n",
|
|
" \"2009\": 7,\n",
|
|
" \"2010\": 4,\n",
|
|
" \"2011\": 3,\n",
|
|
" \"2012\": 5,\n",
|
|
" \"2013\": 3,\n",
|
|
" \"2014\": 2,\n",
|
|
" \"2015\": 3,\n",
|
|
" \"2016\": 1,\n",
|
|
" \"2017\": 1,\n",
|
|
" \"2018\": 2,\n",
|
|
" \"2019\": 3,\n",
|
|
" \"2020\": 1,\n",
|
|
" \"2021\": 1,\n",
|
|
" \"2022\": 1,\n",
|
|
" \"2023\": 1,\n",
|
|
" \"2024\": 12,\n",
|
|
" \"2025\": 4,\n",
|
|
" \"2026\": 5,\n",
|
|
" \"2027\": 3,\n",
|
|
" \"2028\": 6,\n",
|
|
" \"2029\": 6,\n",
|
|
" \"2030\": 5,\n",
|
|
" \"2031\": 3,\n",
|
|
" \"2032\": 2,\n",
|
|
" \"2033\": 3,\n",
|
|
" \"2034\": 3,\n",
|
|
" \"2035\": 15,\n",
|
|
" \"2036\": 27,\n",
|
|
" \"2037\": 3,\n",
|
|
" \"2038\": 2,\n",
|
|
" \"2039\": 1,\n",
|
|
" \"2040\": 2,\n",
|
|
" \"2041\": 2,\n",
|
|
" \"2042\": 2,\n",
|
|
" \"2043\": 1,\n",
|
|
" \"2044\": 2,\n",
|
|
" \"2045\": 4,\n",
|
|
" \"2046\": 5,\n",
|
|
" \"2047\": 5,\n",
|
|
" \"2048\": 8,\n",
|
|
" \"2049\": 4,\n",
|
|
" \"2050\": 3,\n",
|
|
" \"2051\": 1,\n",
|
|
" \"2052\": 2,\n",
|
|
" \"2053\": 1,\n",
|
|
" \"2054\": 1,\n",
|
|
" \"2055\": 1,\n",
|
|
" \"2056\": 2,\n",
|
|
" \"2057\": 1,\n",
|
|
" \"2058\": 1,\n",
|
|
" \"2059\": 1,\n",
|
|
" \"2060\": 1,\n",
|
|
" \"2061\": 1,\n",
|
|
" \"2062\": 13,\n",
|
|
" \"2063\": 1,\n",
|
|
" \"2064\": 1,\n",
|
|
" \"2065\": 2,\n",
|
|
" \"2066\": 1,\n",
|
|
" \"2067\": 6,\n",
|
|
" \"2068\": 5,\n",
|
|
" \"2069\": 2,\n",
|
|
" \"2070\": 2,\n",
|
|
" \"2071\": 2,\n",
|
|
" \"2072\": 7,\n",
|
|
" \"2073\": 4,\n",
|
|
" \"2074\": 3,\n",
|
|
" \"2075\": 5,\n",
|
|
" \"2076\": 3,\n",
|
|
" \"2077\": 2,\n",
|
|
" \"2078\": 3,\n",
|
|
" \"2079\": 1,\n",
|
|
" \"2080\": 1,\n",
|
|
" \"2081\": 2,\n",
|
|
" \"2082\": 3,\n",
|
|
" \"2083\": 1,\n",
|
|
" \"2084\": 1,\n",
|
|
" \"2085\": 1,\n",
|
|
" \"2086\": 1,\n",
|
|
" \"2087\": 12,\n",
|
|
" \"2088\": 4,\n",
|
|
" \"2089\": 5,\n",
|
|
" \"2090\": 3,\n",
|
|
" \"2091\": 6,\n",
|
|
" \"2092\": 6,\n",
|
|
" \"2093\": 5,\n",
|
|
" \"2094\": 3,\n",
|
|
" \"2095\": 2,\n",
|
|
" \"2096\": 3,\n",
|
|
" \"2097\": 3,\n",
|
|
" \"2098\": 15,\n",
|
|
" \"2099\": 27,\n",
|
|
" \"2100\": 3,\n",
|
|
" \"2101\": 2,\n",
|
|
" \"2102\": 1,\n",
|
|
" \"2103\": 2,\n",
|
|
" \"2104\": 2,\n",
|
|
" \"2105\": 2,\n",
|
|
" \"2106\": 1,\n",
|
|
" \"2107\": 2,\n",
|
|
" \"2108\": 4,\n",
|
|
" \"2109\": 5,\n",
|
|
" \"2110\": 5,\n",
|
|
" \"2111\": 8,\n",
|
|
" \"2112\": 4,\n",
|
|
" \"2113\": 3,\n",
|
|
" \"2114\": 1,\n",
|
|
" \"2115\": 2,\n",
|
|
" \"2116\": 1,\n",
|
|
" \"2117\": 1,\n",
|
|
" \"2118\": 1,\n",
|
|
" \"2119\": 2,\n",
|
|
" \"2120\": 1,\n",
|
|
" \"2121\": 1,\n",
|
|
" \"2122\": 1,\n",
|
|
" \"2123\": 1,\n",
|
|
" \"2124\": 1,\n",
|
|
" \"2125\": 13,\n",
|
|
" \"2126\": 1,\n",
|
|
" \"2127\": 1,\n",
|
|
" \"2128\": 2,\n",
|
|
" \"2129\": 1,\n",
|
|
" \"2130\": 6,\n",
|
|
" \"2131\": 5,\n",
|
|
" \"2132\": 2,\n",
|
|
" \"2133\": 2,\n",
|
|
" \"2134\": 2,\n",
|
|
" \"2135\": 7,\n",
|
|
" \"2136\": 4,\n",
|
|
" \"2137\": 3,\n",
|
|
" \"2138\": 5,\n",
|
|
" \"2139\": 3,\n",
|
|
" \"2140\": 2,\n",
|
|
" \"2141\": 3,\n",
|
|
" \"2142\": 1,\n",
|
|
" \"2143\": 1,\n",
|
|
" \"2144\": 2,\n",
|
|
" \"2145\": 3,\n",
|
|
" \"2146\": 1,\n",
|
|
" \"2147\": 1,\n",
|
|
" \"2148\": 1,\n",
|
|
" \"2149\": 1,\n",
|
|
" \"2150\": 12,\n",
|
|
" \"2151\": 4,\n",
|
|
" \"2152\": 5,\n",
|
|
" \"2153\": 3,\n",
|
|
" \"2154\": 6,\n",
|
|
" \"2155\": 6,\n",
|
|
" \"2156\": 5,\n",
|
|
" \"2157\": 3,\n",
|
|
" \"2158\": 2,\n",
|
|
" \"2159\": 3,\n",
|
|
" \"2160\": 3,\n",
|
|
" \"2161\": 15,\n",
|
|
" \"2162\": 27,\n",
|
|
" \"2163\": 3,\n",
|
|
" \"2164\": 2,\n",
|
|
" \"2165\": 1,\n",
|
|
" \"2166\": 2,\n",
|
|
" \"2167\": 2,\n",
|
|
" \"2168\": 2,\n",
|
|
" \"2169\": 1,\n",
|
|
" \"2170\": 2,\n",
|
|
" \"2171\": 4,\n",
|
|
" \"2172\": 5,\n",
|
|
" \"2173\": 5,\n",
|
|
" \"2174\": 8,\n",
|
|
" \"2175\": 4,\n",
|
|
" \"2176\": 3,\n",
|
|
" \"2177\": 1,\n",
|
|
" \"2178\": 2,\n",
|
|
" \"2179\": 1,\n",
|
|
" \"2180\": 1,\n",
|
|
" \"2181\": 1,\n",
|
|
" \"2182\": 2,\n",
|
|
" \"2183\": 1,\n",
|
|
" \"2184\": 1,\n",
|
|
" \"2185\": 1,\n",
|
|
" \"2186\": 1,\n",
|
|
" \"2187\": 1,\n",
|
|
" \"2188\": 13,\n",
|
|
" \"2189\": 1,\n",
|
|
" \"2190\": 1,\n",
|
|
" \"2191\": 2,\n",
|
|
" \"2192\": 1,\n",
|
|
" \"2193\": 6,\n",
|
|
" \"2194\": 5,\n",
|
|
" \"2195\": 2,\n",
|
|
" \"2196\": 2,\n",
|
|
" \"2197\": 2,\n",
|
|
" \"2198\": 7,\n",
|
|
" \"2199\": 4,\n",
|
|
" \"2200\": 3,\n",
|
|
" \"2201\": 5,\n",
|
|
" \"2202\": 3,\n",
|
|
" \"2203\": 2,\n",
|
|
" \"2204\": 3,\n",
|
|
" \"2205\": 1,\n",
|
|
" \"2206\": 1,\n",
|
|
" \"2207\": 2,\n",
|
|
" \"2208\": 3,\n",
|
|
" \"2209\": 1,\n",
|
|
" \"2210\": 1,\n",
|
|
" \"2211\": 1,\n",
|
|
" \"2212\": 1,\n",
|
|
" \"2213\": 12,\n",
|
|
" \"2214\": 4,\n",
|
|
" \"2215\": 5,\n",
|
|
" \"2216\": 3,\n",
|
|
" \"2217\": 6,\n",
|
|
" \"2218\": 6,\n",
|
|
" \"2219\": 5,\n",
|
|
" \"2220\": 3,\n",
|
|
" \"2221\": 2,\n",
|
|
" \"2222\": 3,\n",
|
|
" \"2223\": 3,\n",
|
|
" \"2224\": 15,\n",
|
|
" \"2225\": 27,\n",
|
|
" \"2226\": 3,\n",
|
|
" \"2227\": 2,\n",
|
|
" \"2228\": 1,\n",
|
|
" \"2229\": 2,\n",
|
|
" \"2230\": 2,\n",
|
|
" \"2231\": 2,\n",
|
|
" \"2232\": 1,\n",
|
|
" \"2233\": 2,\n",
|
|
" \"2234\": 4,\n",
|
|
" \"2235\": 5,\n",
|
|
" \"2236\": 5,\n",
|
|
" \"2237\": 8,\n",
|
|
" \"2238\": 4,\n",
|
|
" \"2239\": 3,\n",
|
|
" \"2240\": 1,\n",
|
|
" \"2241\": 2,\n",
|
|
" \"2242\": 1,\n",
|
|
" \"2243\": 1,\n",
|
|
" \"2244\": 1,\n",
|
|
" \"2245\": 2,\n",
|
|
" \"2246\": 1,\n",
|
|
" \"2247\": 1,\n",
|
|
" \"2248\": 1,\n",
|
|
" \"2249\": 1,\n",
|
|
" \"2250\": 1,\n",
|
|
" \"2251\": 13,\n",
|
|
" \"2252\": 1,\n",
|
|
" \"2253\": 1,\n",
|
|
" \"2254\": 2,\n",
|
|
" \"2255\": 1,\n",
|
|
" \"2256\": 6,\n",
|
|
" \"2257\": 5,\n",
|
|
" \"2258\": 2,\n",
|
|
" \"2259\": 2,\n",
|
|
" \"2260\": 2,\n",
|
|
" \"2261\": 7,\n",
|
|
" \"2262\": 4,\n",
|
|
" \"2263\": 3,\n",
|
|
" \"2264\": 5,\n",
|
|
" \"2265\": 3,\n",
|
|
" \"2266\": 2,\n",
|
|
" \"2267\": 3,\n",
|
|
" \"2268\": 1,\n",
|
|
" \"2269\": 1,\n",
|
|
" \"2270\": 2,\n",
|
|
" \"2271\": 3,\n",
|
|
" \"2272\": 1,\n",
|
|
" \"2273\": 1,\n",
|
|
" \"2274\": 1,\n",
|
|
" \"2275\": 1,\n",
|
|
" \"2276\": 12,\n",
|
|
" \"2277\": 4,\n",
|
|
" \"2278\": 5,\n",
|
|
" \"2279\": 3,\n",
|
|
" \"2280\": 6,\n",
|
|
" \"2281\": 6,\n",
|
|
" \"2282\": 5,\n",
|
|
" \"2283\": 3,\n",
|
|
" \"2284\": 2,\n",
|
|
" \"2285\": 3,\n",
|
|
" \"2286\": 3,\n",
|
|
" \"2287\": 15,\n",
|
|
" \"2288\": 27,\n",
|
|
" \"2289\": 3,\n",
|
|
" \"2290\": 2,\n",
|
|
" \"2291\": 1,\n",
|
|
" \"2292\": 2,\n",
|
|
" \"2293\": 2,\n",
|
|
" \"2294\": 2,\n",
|
|
" \"2295\": 1,\n",
|
|
" \"2296\": 2,\n",
|
|
" \"2297\": 4,\n",
|
|
" \"2298\": 5,\n",
|
|
" \"2299\": 5,\n",
|
|
" \"2300\": 8,\n",
|
|
" \"2301\": 4,\n",
|
|
" \"2302\": 3,\n",
|
|
" \"2303\": 1,\n",
|
|
" \"2304\": 2,\n",
|
|
" \"2305\": 1,\n",
|
|
" \"2306\": 1,\n",
|
|
" \"2307\": 1,\n",
|
|
" \"2308\": 2,\n",
|
|
" \"2309\": 1,\n",
|
|
" \"2310\": 1,\n",
|
|
" \"2311\": 1,\n",
|
|
" \"2312\": 1,\n",
|
|
" \"2313\": 1,\n",
|
|
" \"2314\": 13,\n",
|
|
" \"2315\": 1,\n",
|
|
" \"2316\": 1,\n",
|
|
" \"2317\": 2,\n",
|
|
" \"2318\": 1,\n",
|
|
" \"2319\": 6,\n",
|
|
" \"2320\": 5,\n",
|
|
" \"2321\": 2,\n",
|
|
" \"2322\": 2,\n",
|
|
" \"2323\": 2,\n",
|
|
" \"2324\": 7,\n",
|
|
" \"2325\": 4,\n",
|
|
" \"2326\": 3,\n",
|
|
" \"2327\": 5,\n",
|
|
" \"2328\": 3,\n",
|
|
" \"2329\": 2,\n",
|
|
" \"2330\": 3,\n",
|
|
" \"2331\": 1,\n",
|
|
" \"2332\": 1,\n",
|
|
" \"2333\": 2,\n",
|
|
" \"2334\": 3,\n",
|
|
" \"2335\": 1,\n",
|
|
" \"2336\": 1,\n",
|
|
" \"2337\": 1,\n",
|
|
" \"2338\": 1,\n",
|
|
" \"2339\": 12,\n",
|
|
" \"2340\": 4,\n",
|
|
" \"2341\": 5,\n",
|
|
" \"2342\": 3,\n",
|
|
" \"2343\": 6,\n",
|
|
" \"2344\": 6,\n",
|
|
" \"2345\": 5,\n",
|
|
" \"2346\": 3,\n",
|
|
" \"2347\": 2,\n",
|
|
" \"2348\": 3,\n",
|
|
" \"2349\": 3,\n",
|
|
" \"2350\": 15,\n",
|
|
" \"2351\": 27,\n",
|
|
" \"2352\": 3,\n",
|
|
" \"2353\": 2,\n",
|
|
" \"2354\": 1,\n",
|
|
" \"2355\": 2,\n",
|
|
" \"2356\": 2,\n",
|
|
" \"2357\": 2,\n",
|
|
" \"2358\": 1,\n",
|
|
" \"2359\": 2,\n",
|
|
" \"2360\": 4,\n",
|
|
" \"2361\": 5,\n",
|
|
" \"2362\": 5,\n",
|
|
" \"2363\": 8,\n",
|
|
" \"2364\": 4,\n",
|
|
" \"2365\": 3,\n",
|
|
" \"2366\": 1,\n",
|
|
" \"2367\": 2,\n",
|
|
" \"2368\": 1,\n",
|
|
" \"2369\": 1,\n",
|
|
" \"2370\": 1,\n",
|
|
" \"2371\": 2,\n",
|
|
" \"2372\": 1,\n",
|
|
" \"2373\": 1,\n",
|
|
" \"2374\": 1,\n",
|
|
" \"2375\": 1,\n",
|
|
" \"2376\": 1,\n",
|
|
" \"2377\": 13,\n",
|
|
" \"2378\": 1,\n",
|
|
" \"2379\": 1,\n",
|
|
" \"2380\": 2,\n",
|
|
" \"2381\": 1,\n",
|
|
" \"2382\": 6,\n",
|
|
" \"2383\": 5,\n",
|
|
" \"2384\": 2,\n",
|
|
" \"2385\": 2,\n",
|
|
" \"2386\": 2,\n",
|
|
" \"2387\": 7,\n",
|
|
" \"2388\": 4,\n",
|
|
" \"2389\": 3,\n",
|
|
" \"2390\": 5,\n",
|
|
" \"2391\": 3,\n",
|
|
" \"2392\": 2,\n",
|
|
" \"2393\": 3,\n",
|
|
" \"2394\": 1,\n",
|
|
" \"2395\": 1,\n",
|
|
" \"2396\": 2,\n",
|
|
" \"2397\": 3,\n",
|
|
" \"2398\": 1,\n",
|
|
" \"2399\": 1,\n",
|
|
" \"2400\": 1,\n",
|
|
" \"2401\": 1,\n",
|
|
" \"2402\": 12,\n",
|
|
" \"2403\": 4,\n",
|
|
" \"2404\": 5,\n",
|
|
" \"2405\": 3,\n",
|
|
" \"2406\": 6,\n",
|
|
" \"2407\": 6,\n",
|
|
" \"2408\": 5,\n",
|
|
" \"2409\": 3,\n",
|
|
" \"2410\": 2,\n",
|
|
" \"2411\": 3,\n",
|
|
" \"2412\": 3,\n",
|
|
" \"2413\": 15,\n",
|
|
" \"2414\": 27,\n",
|
|
" \"2415\": 3,\n",
|
|
" \"2416\": 2,\n",
|
|
" \"2417\": 1,\n",
|
|
" \"2418\": 2,\n",
|
|
" \"2419\": 2,\n",
|
|
" \"2420\": 2,\n",
|
|
" \"2421\": 1,\n",
|
|
" \"2422\": 2,\n",
|
|
" \"2423\": 4,\n",
|
|
" \"2424\": 5,\n",
|
|
" \"2425\": 5,\n",
|
|
" \"2426\": 8,\n",
|
|
" \"2427\": 4,\n",
|
|
" \"2428\": 3,\n",
|
|
" \"2429\": 1,\n",
|
|
" \"2430\": 2,\n",
|
|
" \"2431\": 1,\n",
|
|
" \"2432\": 1,\n",
|
|
" \"2433\": 1,\n",
|
|
" \"2434\": 2,\n",
|
|
" \"2435\": 1,\n",
|
|
" \"2436\": 1,\n",
|
|
" \"2437\": 1,\n",
|
|
" \"2438\": 1,\n",
|
|
" \"2439\": 1,\n",
|
|
" \"2440\": 13,\n",
|
|
" \"2441\": 1,\n",
|
|
" \"2442\": 1,\n",
|
|
" \"2443\": 2,\n",
|
|
" \"2444\": 1,\n",
|
|
" \"2445\": 6,\n",
|
|
" \"2446\": 5,\n",
|
|
" \"2447\": 2,\n",
|
|
" \"2448\": 2,\n",
|
|
" \"2449\": 2,\n",
|
|
" \"2450\": 7,\n",
|
|
" \"2451\": 4,\n",
|
|
" \"2452\": 3,\n",
|
|
" \"2453\": 5,\n",
|
|
" \"2454\": 3,\n",
|
|
" \"2455\": 2,\n",
|
|
" \"2456\": 3,\n",
|
|
" \"2457\": 1,\n",
|
|
" \"2458\": 1,\n",
|
|
" \"2459\": 2,\n",
|
|
" \"2460\": 3,\n",
|
|
" \"2461\": 1,\n",
|
|
" \"2462\": 1,\n",
|
|
" \"2463\": 1,\n",
|
|
" \"2464\": 1,\n",
|
|
" \"2465\": 12,\n",
|
|
" \"2466\": 4,\n",
|
|
" \"2467\": 5,\n",
|
|
" \"2468\": 3,\n",
|
|
" \"2469\": 6,\n",
|
|
" \"2470\": 6,\n",
|
|
" \"2471\": 5,\n",
|
|
" \"2472\": 3,\n",
|
|
" \"2473\": 2,\n",
|
|
" \"2474\": 3,\n",
|
|
" \"2475\": 3,\n",
|
|
" \"2476\": 15,\n",
|
|
" \"2477\": 27,\n",
|
|
" \"2478\": 3,\n",
|
|
" \"2479\": 2,\n",
|
|
" \"2480\": 1,\n",
|
|
" \"2481\": 2,\n",
|
|
" \"2482\": 2,\n",
|
|
" \"2483\": 2,\n",
|
|
" \"2484\": 1,\n",
|
|
" \"2485\": 2,\n",
|
|
" \"2486\": 4,\n",
|
|
" \"2487\": 5,\n",
|
|
" \"2488\": 5,\n",
|
|
" \"2489\": 8,\n",
|
|
" \"2490\": 4,\n",
|
|
" \"2491\": 3,\n",
|
|
" \"2492\": 1,\n",
|
|
" \"2493\": 2,\n",
|
|
" \"2494\": 1,\n",
|
|
" \"2495\": 1,\n",
|
|
" \"2496\": 1,\n",
|
|
" \"2497\": 2,\n",
|
|
" \"2498\": 1,\n",
|
|
" \"2499\": 1,\n",
|
|
" \"2500\": 1,\n",
|
|
" \"2501\": 1,\n",
|
|
" \"2502\": 1,\n",
|
|
" \"2503\": 13,\n",
|
|
" \"2504\": 1,\n",
|
|
" \"2505\": 1,\n",
|
|
" \"2506\": 2,\n",
|
|
" \"2507\": 1,\n",
|
|
" \"2508\": 6,\n",
|
|
" \"2509\": 5,\n",
|
|
" \"2510\": 2,\n",
|
|
" \"2511\": 2,\n",
|
|
" \"2512\": 2,\n",
|
|
" \"2513\": 7,\n",
|
|
" \"2514\": 4,\n",
|
|
" \"2515\": 3,\n",
|
|
" \"2516\": 5,\n",
|
|
" \"2517\": 3,\n",
|
|
" \"2518\": 2,\n",
|
|
" \"2519\": 3,\n",
|
|
" \"2520\": 1,\n",
|
|
" \"2521\": 1,\n",
|
|
" \"2522\": 2,\n",
|
|
" \"2523\": 3,\n",
|
|
" \"2524\": 1,\n",
|
|
" \"2525\": 1,\n",
|
|
" \"2526\": 1,\n",
|
|
" \"2527\": 1,\n",
|
|
" \"2528\": 12,\n",
|
|
" \"2529\": 4,\n",
|
|
" \"2530\": 5,\n",
|
|
" \"2531\": 3,\n",
|
|
" \"2532\": 6,\n",
|
|
" \"2533\": 6,\n",
|
|
" \"2534\": 5,\n",
|
|
" \"2535\": 3,\n",
|
|
" \"2536\": 2,\n",
|
|
" \"2537\": 3,\n",
|
|
" \"2538\": 3,\n",
|
|
" \"2539\": 15,\n",
|
|
" \"2540\": 27,\n",
|
|
" \"2541\": 3,\n",
|
|
" \"2542\": 2,\n",
|
|
" \"2543\": 1,\n",
|
|
" \"2544\": 2,\n",
|
|
" \"2545\": 2,\n",
|
|
" \"2546\": 2,\n",
|
|
" \"2547\": 1,\n",
|
|
" \"2548\": 2,\n",
|
|
" \"2549\": 4,\n",
|
|
" \"2550\": 5,\n",
|
|
" \"2551\": 5,\n",
|
|
" \"2552\": 8,\n",
|
|
" \"2553\": 4,\n",
|
|
" \"2554\": 3,\n",
|
|
" \"2555\": 1,\n",
|
|
" \"2556\": 2,\n",
|
|
" \"2557\": 1,\n",
|
|
" \"2558\": 1,\n",
|
|
" \"2559\": 1,\n",
|
|
" \"2560\": 2,\n",
|
|
" \"2561\": 1,\n",
|
|
" \"2562\": 1,\n",
|
|
" \"2563\": 1,\n",
|
|
" \"2564\": 1,\n",
|
|
" \"2565\": 1,\n",
|
|
" \"2566\": 13,\n",
|
|
" \"2567\": 1,\n",
|
|
" \"2568\": 1,\n",
|
|
" \"2569\": 2,\n",
|
|
" \"2570\": 1,\n",
|
|
" \"2571\": 6,\n",
|
|
" \"2572\": 5,\n",
|
|
" \"2573\": 2,\n",
|
|
" \"2574\": 2,\n",
|
|
" \"2575\": 2,\n",
|
|
" \"2576\": 7,\n",
|
|
" \"2577\": 4,\n",
|
|
" \"2578\": 3,\n",
|
|
" \"2579\": 5,\n",
|
|
" \"2580\": 3,\n",
|
|
" \"2581\": 2,\n",
|
|
" \"2582\": 3,\n",
|
|
" \"2583\": 1,\n",
|
|
" \"2584\": 1,\n",
|
|
" \"2585\": 2,\n",
|
|
" \"2586\": 3,\n",
|
|
" \"2587\": 1,\n",
|
|
" \"2588\": 1,\n",
|
|
" \"2589\": 1,\n",
|
|
" \"2590\": 1,\n",
|
|
" \"2591\": 12,\n",
|
|
" \"2592\": 4,\n",
|
|
" \"2593\": 5,\n",
|
|
" \"2594\": 3,\n",
|
|
" \"2595\": 6,\n",
|
|
" \"2596\": 6,\n",
|
|
" \"2597\": 5,\n",
|
|
" \"2598\": 3,\n",
|
|
" \"2599\": 2,\n",
|
|
" \"2600\": 3,\n",
|
|
" \"2601\": 3,\n",
|
|
" \"2602\": 15,\n",
|
|
" \"2603\": 27,\n",
|
|
" \"2604\": 3,\n",
|
|
" \"2605\": 2,\n",
|
|
" \"2606\": 1,\n",
|
|
" \"2607\": 2,\n",
|
|
" \"2608\": 2,\n",
|
|
" \"2609\": 2,\n",
|
|
" \"2610\": 1,\n",
|
|
" \"2611\": 2,\n",
|
|
" \"2612\": 4,\n",
|
|
" \"2613\": 5,\n",
|
|
" \"2614\": 5,\n",
|
|
" \"2615\": 8,\n",
|
|
" \"2616\": 4,\n",
|
|
" \"2617\": 3,\n",
|
|
" \"2618\": 1,\n",
|
|
" \"2619\": 2,\n",
|
|
" \"2620\": 1,\n",
|
|
" \"2621\": 1,\n",
|
|
" \"2622\": 1,\n",
|
|
" \"2623\": 2,\n",
|
|
" \"2624\": 1,\n",
|
|
" \"2625\": 1,\n",
|
|
" \"2626\": 1,\n",
|
|
" \"2627\": 1,\n",
|
|
" \"2628\": 1,\n",
|
|
" \"2629\": 13,\n",
|
|
" \"2630\": 1,\n",
|
|
" \"2631\": 1,\n",
|
|
" \"2632\": 2,\n",
|
|
" \"2633\": 1,\n",
|
|
" \"2634\": 6,\n",
|
|
" \"2635\": 5,\n",
|
|
" \"2636\": 2,\n",
|
|
" \"2637\": 2,\n",
|
|
" \"2638\": 2,\n",
|
|
" \"2639\": 7,\n",
|
|
" \"2640\": 4,\n",
|
|
" \"2641\": 3,\n",
|
|
" \"2642\": 5,\n",
|
|
" \"2643\": 3,\n",
|
|
" \"2644\": 2,\n",
|
|
" \"2645\": 3,\n",
|
|
" \"2646\": 1,\n",
|
|
" \"2647\": 1,\n",
|
|
" \"2648\": 2,\n",
|
|
" \"2649\": 3,\n",
|
|
" \"2650\": 1,\n",
|
|
" \"2651\": 1,\n",
|
|
" \"2652\": 1,\n",
|
|
" \"2653\": 1,\n",
|
|
" \"2654\": 12,\n",
|
|
" \"2655\": 4,\n",
|
|
" \"2656\": 5,\n",
|
|
" \"2657\": 3,\n",
|
|
" \"2658\": 6,\n",
|
|
" \"2659\": 6,\n",
|
|
" \"2660\": 5,\n",
|
|
" \"2661\": 3,\n",
|
|
" \"2662\": 2,\n",
|
|
" \"2663\": 3,\n",
|
|
" \"2664\": 3,\n",
|
|
" \"2665\": 15,\n",
|
|
" \"2666\": 27,\n",
|
|
" \"2667\": 3,\n",
|
|
" \"2668\": 2,\n",
|
|
" \"2669\": 1,\n",
|
|
" \"2670\": 2,\n",
|
|
" \"2671\": 2,\n",
|
|
" \"2672\": 2,\n",
|
|
" \"2673\": 1,\n",
|
|
" \"2674\": 2,\n",
|
|
" \"2675\": 4,\n",
|
|
" \"2676\": 5,\n",
|
|
" \"2677\": 5,\n",
|
|
" \"2678\": 8,\n",
|
|
" \"2679\": 4,\n",
|
|
" \"2680\": 3,\n",
|
|
" \"2681\": 1,\n",
|
|
" \"2682\": 2,\n",
|
|
" \"2683\": 1,\n",
|
|
" \"2684\": 1,\n",
|
|
" \"2685\": 1,\n",
|
|
" \"2686\": 2,\n",
|
|
" \"2687\": 1,\n",
|
|
" \"2688\": 1,\n",
|
|
" \"2689\": 1,\n",
|
|
" \"2690\": 1,\n",
|
|
" \"2691\": 1,\n",
|
|
" \"2692\": 13,\n",
|
|
" \"2693\": 1,\n",
|
|
" \"2694\": 1,\n",
|
|
" \"2695\": 2,\n",
|
|
" \"2696\": 1,\n",
|
|
" \"2697\": 6,\n",
|
|
" \"2698\": 5,\n",
|
|
" \"2699\": 2,\n",
|
|
" \"2700\": 2,\n",
|
|
" \"2701\": 2,\n",
|
|
" \"2702\": 7,\n",
|
|
" \"2703\": 4,\n",
|
|
" \"2704\": 3,\n",
|
|
" \"2705\": 5,\n",
|
|
" \"2706\": 3,\n",
|
|
" \"2707\": 2,\n",
|
|
" \"2708\": 3,\n",
|
|
" \"2709\": 1,\n",
|
|
" \"2710\": 1,\n",
|
|
" \"2711\": 2,\n",
|
|
" \"2712\": 3,\n",
|
|
" \"2713\": 1,\n",
|
|
" \"2714\": 1,\n",
|
|
" \"2715\": 1,\n",
|
|
" \"2716\": 1,\n",
|
|
" \"2717\": 12,\n",
|
|
" \"2718\": 4,\n",
|
|
" \"2719\": 5,\n",
|
|
" \"2720\": 3,\n",
|
|
" \"2721\": 6,\n",
|
|
" \"2722\": 6,\n",
|
|
" \"2723\": 5,\n",
|
|
" \"2724\": 3,\n",
|
|
" \"2725\": 2,\n",
|
|
" \"2726\": 3,\n",
|
|
" \"2727\": 3,\n",
|
|
" \"2728\": 15,\n",
|
|
" \"2729\": 27,\n",
|
|
" \"2730\": 3,\n",
|
|
" \"2731\": 2,\n",
|
|
" \"2732\": 1,\n",
|
|
" \"2733\": 2,\n",
|
|
" \"2734\": 2,\n",
|
|
" \"2735\": 2,\n",
|
|
" \"2736\": 1,\n",
|
|
" \"2737\": 2,\n",
|
|
" \"2738\": 4,\n",
|
|
" \"2739\": 5,\n",
|
|
" \"2740\": 5,\n",
|
|
" \"2741\": 8,\n",
|
|
" \"2742\": 4,\n",
|
|
" \"2743\": 3,\n",
|
|
" \"2744\": 1,\n",
|
|
" \"2745\": 2,\n",
|
|
" \"2746\": 1,\n",
|
|
" \"2747\": 1,\n",
|
|
" \"2748\": 1,\n",
|
|
" \"2749\": 2,\n",
|
|
" \"2750\": 1,\n",
|
|
" \"2751\": 1,\n",
|
|
" \"2752\": 1,\n",
|
|
" \"2753\": 1,\n",
|
|
" \"2754\": 1,\n",
|
|
" \"2755\": 13,\n",
|
|
" \"2756\": 1,\n",
|
|
" \"2757\": 1,\n",
|
|
" \"2758\": 2,\n",
|
|
" \"2759\": 1,\n",
|
|
" \"2760\": 6,\n",
|
|
" \"2761\": 5,\n",
|
|
" \"2762\": 2,\n",
|
|
" \"2763\": 2,\n",
|
|
" \"2764\": 2,\n",
|
|
" \"2765\": 7,\n",
|
|
" \"2766\": 4,\n",
|
|
" \"2767\": 3,\n",
|
|
" \"2768\": 5,\n",
|
|
" \"2769\": 3,\n",
|
|
" \"2770\": 2,\n",
|
|
" \"2771\": 3,\n",
|
|
" \"2772\": 1,\n",
|
|
" \"2773\": 1,\n",
|
|
" \"2774\": 2,\n",
|
|
" \"2775\": 3,\n",
|
|
" \"2776\": 1,\n",
|
|
" \"2777\": 1,\n",
|
|
" \"2778\": 1,\n",
|
|
" \"2779\": 1,\n",
|
|
" \"2780\": 12,\n",
|
|
" \"2781\": 4,\n",
|
|
" \"2782\": 5,\n",
|
|
" \"2783\": 3,\n",
|
|
" \"2784\": 6,\n",
|
|
" \"2785\": 6,\n",
|
|
" \"2786\": 5,\n",
|
|
" \"2787\": 3,\n",
|
|
" \"2788\": 2,\n",
|
|
" \"2789\": 3,\n",
|
|
" \"2790\": 3,\n",
|
|
" \"2791\": 15,\n",
|
|
" \"2792\": 27,\n",
|
|
" \"2793\": 3,\n",
|
|
" \"2794\": 2,\n",
|
|
" \"2795\": 1,\n",
|
|
" \"2796\": 2,\n",
|
|
" \"2797\": 2,\n",
|
|
" \"2798\": 2,\n",
|
|
" \"2799\": 1,\n",
|
|
" \"2800\": 2,\n",
|
|
" \"2801\": 4,\n",
|
|
" \"2802\": 5,\n",
|
|
" \"2803\": 5,\n",
|
|
" \"2804\": 8,\n",
|
|
" \"2805\": 4,\n",
|
|
" \"2806\": 3,\n",
|
|
" \"2807\": 1,\n",
|
|
" \"2808\": 2,\n",
|
|
" \"2809\": 1,\n",
|
|
" \"2810\": 1,\n",
|
|
" \"2811\": 1,\n",
|
|
" \"2812\": 2,\n",
|
|
" \"2813\": 1,\n",
|
|
" \"2814\": 1,\n",
|
|
" \"2815\": 1,\n",
|
|
" \"2816\": 1,\n",
|
|
" \"2817\": 1,\n",
|
|
" \"2818\": 13,\n",
|
|
" \"2819\": 1,\n",
|
|
" \"2820\": 1,\n",
|
|
" \"2821\": 2,\n",
|
|
" \"2822\": 1,\n",
|
|
" \"2823\": 6,\n",
|
|
" \"2824\": 5,\n",
|
|
" \"2825\": 2,\n",
|
|
" \"2826\": 2,\n",
|
|
" \"2827\": 2,\n",
|
|
" \"2828\": 7,\n",
|
|
" \"2829\": 4,\n",
|
|
" \"2830\": 3,\n",
|
|
" \"2831\": 5,\n",
|
|
" \"2832\": 3,\n",
|
|
" \"2833\": 2,\n",
|
|
" \"2834\": 3,\n",
|
|
" \"2835\": 1,\n",
|
|
" \"2836\": 1,\n",
|
|
" \"2837\": 2,\n",
|
|
" \"2838\": 3,\n",
|
|
" \"2839\": 1,\n",
|
|
" \"2840\": 1,\n",
|
|
" \"2841\": 1,\n",
|
|
" \"2842\": 1,\n",
|
|
" \"2843\": 12,\n",
|
|
" \"2844\": 4,\n",
|
|
" \"2845\": 5,\n",
|
|
" \"2846\": 3,\n",
|
|
" \"2847\": 6,\n",
|
|
" \"2848\": 6,\n",
|
|
" \"2849\": 5,\n",
|
|
" \"2850\": 3,\n",
|
|
" \"2851\": 2,\n",
|
|
" \"2852\": 3,\n",
|
|
" \"2853\": 3,\n",
|
|
" \"2854\": 15,\n",
|
|
" \"2855\": 27,\n",
|
|
" \"2856\": 3,\n",
|
|
" \"2857\": 2,\n",
|
|
" \"2858\": 1,\n",
|
|
" \"2859\": 2,\n",
|
|
" \"2860\": 2,\n",
|
|
" \"2861\": 2,\n",
|
|
" \"2862\": 1,\n",
|
|
" \"2863\": 2,\n",
|
|
" \"2864\": 4,\n",
|
|
" \"2865\": 5,\n",
|
|
" \"2866\": 5,\n",
|
|
" \"2867\": 8,\n",
|
|
" \"2868\": 4,\n",
|
|
" \"2869\": 3,\n",
|
|
" \"2870\": 1,\n",
|
|
" \"2871\": 2,\n",
|
|
" \"2872\": 1,\n",
|
|
" \"2873\": 1,\n",
|
|
" \"2874\": 1,\n",
|
|
" \"2875\": 2,\n",
|
|
" \"2876\": 1,\n",
|
|
" \"2877\": 1,\n",
|
|
" \"2878\": 1,\n",
|
|
" \"2879\": 1,\n",
|
|
" \"2880\": 1,\n",
|
|
" \"2881\": 13,\n",
|
|
" \"2882\": 1,\n",
|
|
" \"2883\": 1,\n",
|
|
" \"2884\": 2,\n",
|
|
" \"2885\": 1,\n",
|
|
" \"2886\": 6,\n",
|
|
" \"2887\": 5,\n",
|
|
" \"2888\": 2,\n",
|
|
" \"2889\": 2,\n",
|
|
" \"2890\": 2,\n",
|
|
" \"2891\": 7,\n",
|
|
" \"2892\": 4,\n",
|
|
" \"2893\": 3,\n",
|
|
" \"2894\": 5,\n",
|
|
" \"2895\": 3,\n",
|
|
" \"2896\": 2,\n",
|
|
" \"2897\": 3,\n",
|
|
" \"2898\": 1,\n",
|
|
" \"2899\": 1,\n",
|
|
" \"2900\": 2,\n",
|
|
" \"2901\": 3,\n",
|
|
" \"2902\": 1,\n",
|
|
" \"2903\": 1,\n",
|
|
" \"2904\": 1,\n",
|
|
" \"2905\": 1,\n",
|
|
" \"2906\": 12,\n",
|
|
" \"2907\": 4,\n",
|
|
" \"2908\": 5,\n",
|
|
" \"2909\": 3,\n",
|
|
" \"2910\": 6,\n",
|
|
" \"2911\": 6,\n",
|
|
" \"2912\": 5,\n",
|
|
" \"2913\": 3,\n",
|
|
" \"2914\": 2,\n",
|
|
" \"2915\": 3,\n",
|
|
" \"2916\": 3,\n",
|
|
" \"2917\": 15,\n",
|
|
" \"2918\": 27,\n",
|
|
" \"2919\": 3,\n",
|
|
" \"2920\": 2,\n",
|
|
" \"2921\": 1,\n",
|
|
" \"2922\": 2,\n",
|
|
" \"2923\": 2,\n",
|
|
" \"2924\": 2,\n",
|
|
" \"2925\": 1,\n",
|
|
" \"2926\": 2,\n",
|
|
" \"2927\": 4,\n",
|
|
" \"2928\": 5,\n",
|
|
" \"2929\": 5,\n",
|
|
" \"2930\": 8,\n",
|
|
" \"2931\": 4,\n",
|
|
" \"2932\": 3,\n",
|
|
" \"2933\": 1,\n",
|
|
" \"2934\": 2,\n",
|
|
" \"2935\": 1,\n",
|
|
" \"2936\": 1,\n",
|
|
" \"2937\": 1,\n",
|
|
" \"2938\": 2,\n",
|
|
" \"2939\": 1,\n",
|
|
" \"2940\": 1,\n",
|
|
" \"2941\": 1,\n",
|
|
" \"2942\": 1,\n",
|
|
" \"2943\": 1,\n",
|
|
" \"2944\": 13,\n",
|
|
" \"2945\": 1,\n",
|
|
" \"2946\": 1,\n",
|
|
" \"2947\": 2,\n",
|
|
" \"2948\": 1,\n",
|
|
" \"2949\": 6,\n",
|
|
" \"2950\": 6,\n",
|
|
" \"2951\": 2,\n",
|
|
" \"2952\": 2,\n",
|
|
" \"2953\": 2,\n",
|
|
" \"2954\": 7,\n",
|
|
" \"2955\": 4,\n",
|
|
" \"2956\": 3,\n",
|
|
" \"2957\": 5,\n",
|
|
" \"2958\": 3,\n",
|
|
" \"2959\": 2,\n",
|
|
" \"2960\": 3,\n",
|
|
" \"2961\": 1,\n",
|
|
" \"2962\": 1,\n",
|
|
" \"2963\": 2,\n",
|
|
" \"2964\": 3,\n",
|
|
" \"2965\": 1,\n",
|
|
" \"2966\": 1,\n",
|
|
" \"2967\": 1,\n",
|
|
" \"2968\": 9,\n",
|
|
" \"2969\": 4,\n",
|
|
" \"2970\": 5,\n",
|
|
" \"2971\": 3,\n",
|
|
" \"2972\": 6,\n",
|
|
" \"2973\": 6,\n",
|
|
" \"2974\": 5,\n",
|
|
" \"2975\": 3,\n",
|
|
" \"2976\": 2,\n",
|
|
" \"2977\": 3,\n",
|
|
" \"2978\": 3,\n",
|
|
" \"2979\": 15,\n",
|
|
" \"2980\": 27,\n",
|
|
" \"2981\": 4,\n",
|
|
" \"2982\": 2,\n",
|
|
" \"2983\": 1,\n",
|
|
" \"2984\": 2,\n",
|
|
" \"2985\": 2,\n",
|
|
" \"2986\": 2,\n",
|
|
" \"2987\": 1,\n",
|
|
" \"2988\": 2,\n",
|
|
" \"2989\": 4,\n",
|
|
" \"2990\": 5,\n",
|
|
" \"2991\": 5,\n",
|
|
" \"2992\": 8,\n",
|
|
" \"2993\": 4,\n",
|
|
" \"2994\": 3,\n",
|
|
" \"2995\": 1,\n",
|
|
" \"2996\": 2,\n",
|
|
" \"2997\": 1,\n",
|
|
" \"2998\": 1,\n",
|
|
" \"2999\": 1,\n",
|
|
" \"3000\": 2,\n",
|
|
" \"3001\": 1,\n",
|
|
" \"3002\": 1,\n",
|
|
" \"3003\": 1,\n",
|
|
" \"3004\": 1,\n",
|
|
" \"3005\": 1,\n",
|
|
" \"3006\": 13,\n",
|
|
" \"3007\": 11,\n",
|
|
" \"3008\": 3,\n",
|
|
" \"3009\": 5,\n",
|
|
" \"3010\": 4,\n",
|
|
" \"3011\": 3,\n",
|
|
" \"3012\": 1,\n",
|
|
" \"3013\": 9,\n",
|
|
" \"3014\": 5,\n",
|
|
" \"3015\": 2,\n",
|
|
" \"3016\": 2,\n",
|
|
" \"3017\": 2,\n",
|
|
" \"3018\": 7,\n",
|
|
" \"3019\": 5,\n",
|
|
" \"3020\": 52,\n",
|
|
" \"3021\": 6,\n",
|
|
" \"3022\": 4,\n",
|
|
" \"3023\": 2,\n",
|
|
" \"3024\": 3,\n",
|
|
" \"3025\": 1,\n",
|
|
" \"3026\": 1,\n",
|
|
" \"3027\": 2,\n",
|
|
" \"3028\": 3,\n",
|
|
" \"3029\": 1,\n",
|
|
" \"3030\": 1,\n",
|
|
" \"3031\": 6,\n",
|
|
" \"3032\": 5,\n",
|
|
" \"3033\": 5,\n",
|
|
" \"3034\": 1,\n",
|
|
" \"3035\": 2,\n",
|
|
" \"3036\": 2,\n",
|
|
" \"3037\": 7,\n",
|
|
" \"3038\": 1,\n",
|
|
" \"3039\": 3,\n",
|
|
" \"3040\": 1,\n",
|
|
" \"3041\": 1,\n",
|
|
" \"3042\": 1,\n",
|
|
" \"3043\": 1,\n",
|
|
" \"3044\": 3,\n",
|
|
" \"3045\": 3,\n",
|
|
" \"3046\": 2,\n",
|
|
" \"3047\": 2,\n",
|
|
" \"3048\": 5,\n",
|
|
" \"3049\": 2,\n",
|
|
" \"3050\": 3,\n",
|
|
" \"3051\": 1,\n",
|
|
" \"3052\": 1,\n",
|
|
" \"3053\": 2,\n",
|
|
" \"3054\": 2,\n",
|
|
" \"3055\": 4,\n",
|
|
" \"3056\": 5,\n",
|
|
" \"3057\": 2,\n",
|
|
" \"3058\": 2,\n",
|
|
" \"3059\": 1,\n",
|
|
" \"3060\": 1,\n",
|
|
" \"3061\": 1,\n",
|
|
" \"3062\": 1,\n",
|
|
" \"3063\": 1,\n",
|
|
" \"3064\": 1,\n",
|
|
" \"3065\": 3,\n",
|
|
" \"3066\": 1,\n",
|
|
" \"3067\": 1,\n",
|
|
" \"3068\": 2,\n",
|
|
" \"3069\": 2,\n",
|
|
" \"3070\": 3,\n",
|
|
" \"3071\": 2,\n",
|
|
" \"3072\": 2,\n",
|
|
" \"3073\": 4,\n",
|
|
" \"3074\": 8,\n",
|
|
" \"3075\": 4,\n",
|
|
" \"3076\": 1,\n",
|
|
" \"3077\": 1,\n",
|
|
" \"3078\": 3,\n",
|
|
" \"3079\": 4,\n",
|
|
" \"3080\": 1,\n",
|
|
" \"3081\": 2,\n",
|
|
" \"3082\": 1,\n",
|
|
" \"3083\": 2,\n",
|
|
" \"3084\": 2,\n",
|
|
" \"3085\": 2,\n",
|
|
" \"3086\": 2,\n",
|
|
" \"3087\": 3,\n",
|
|
" \"3088\": 3,\n",
|
|
" \"3089\": 4,\n",
|
|
" \"3090\": 3,\n",
|
|
" \"3091\": 9,\n",
|
|
" \"3092\": 7,\n",
|
|
" \"3093\": 1,\n",
|
|
" \"3094\": 2,\n",
|
|
" \"3095\": 2,\n",
|
|
" \"3096\": 5,\n",
|
|
" \"3097\": 2,\n",
|
|
" \"3098\": 4,\n",
|
|
" \"3099\": 5,\n",
|
|
" \"3100\": 6,\n",
|
|
" \"3101\": 5,\n",
|
|
" \"3102\": 2,\n",
|
|
" \"3103\": 3,\n",
|
|
" \"3104\": 1,\n",
|
|
" \"3105\": 1,\n",
|
|
" \"3106\": 1,\n",
|
|
" \"3107\": 1,\n",
|
|
" \"3108\": 1,\n",
|
|
" \"3109\": 1,\n",
|
|
" \"3110\": 3,\n",
|
|
" \"3111\": 1,\n",
|
|
" \"3112\": 1,\n",
|
|
" \"3113\": 2,\n",
|
|
" \"3114\": 2,\n",
|
|
" \"3115\": 3,\n",
|
|
" \"3116\": 2,\n",
|
|
" \"3117\": 2,\n",
|
|
" \"3118\": 4,\n",
|
|
" \"3119\": 8,\n",
|
|
" \"3120\": 4,\n",
|
|
" \"3121\": 1,\n",
|
|
" \"3122\": 1,\n",
|
|
" \"3123\": 4,\n",
|
|
" \"3124\": 3,\n",
|
|
" \"3125\": 2,\n",
|
|
" \"3126\": 1,\n",
|
|
" \"3127\": 2,\n",
|
|
" \"3128\": 2,\n",
|
|
" \"3129\": 2,\n",
|
|
" \"3130\": 2,\n",
|
|
" \"3131\": 3,\n",
|
|
" \"3132\": 3,\n",
|
|
" \"3133\": 4,\n",
|
|
" \"3134\": 3,\n",
|
|
" \"3135\": 9,\n",
|
|
" \"3136\": 7,\n",
|
|
" \"3137\": 1,\n",
|
|
" \"3138\": 2,\n",
|
|
" \"3139\": 2,\n",
|
|
" \"3140\": 5,\n",
|
|
" \"3141\": 2,\n",
|
|
" \"3142\": 4,\n",
|
|
" \"3143\": 5,\n",
|
|
" \"3144\": 6,\n",
|
|
" \"3145\": 8,\n",
|
|
" \"3146\": 5,\n",
|
|
" \"3147\": 6,\n",
|
|
" \"3148\": 1,\n",
|
|
" \"3149\": 1,\n",
|
|
" \"3150\": 1,\n",
|
|
" \"3151\": 1,\n",
|
|
" \"3152\": 1,\n",
|
|
" \"3153\": 1,\n",
|
|
" \"3154\": 3,\n",
|
|
" \"3155\": 1,\n",
|
|
" \"3156\": 1,\n",
|
|
" \"3157\": 2,\n",
|
|
" \"3158\": 2,\n",
|
|
" \"3159\": 3,\n",
|
|
" \"3160\": 2,\n",
|
|
" \"3161\": 2,\n",
|
|
" \"3162\": 4,\n",
|
|
" \"3163\": 8,\n",
|
|
" \"3164\": 4,\n",
|
|
" \"3165\": 1,\n",
|
|
" \"3166\": 1,\n",
|
|
" \"3167\": 4,\n",
|
|
" \"3168\": 3,\n",
|
|
" \"3169\": 2,\n",
|
|
" \"3170\": 1,\n",
|
|
" \"3171\": 2,\n",
|
|
" \"3172\": 2,\n",
|
|
" \"3173\": 2,\n",
|
|
" \"3174\": 2,\n",
|
|
" \"3175\": 3,\n",
|
|
" \"3176\": 3,\n",
|
|
" \"3177\": 4,\n",
|
|
" \"3178\": 3,\n",
|
|
" \"3179\": 9,\n",
|
|
" \"3180\": 7,\n",
|
|
" \"3181\": 1,\n",
|
|
" \"3182\": 2,\n",
|
|
" \"3183\": 2,\n",
|
|
" \"3184\": 5,\n",
|
|
" \"3185\": 2,\n",
|
|
" \"3186\": 4,\n",
|
|
" \"3187\": 5,\n",
|
|
" \"3188\": 6,\n",
|
|
" \"3189\": 8,\n",
|
|
" \"3190\": 5,\n",
|
|
" \"3191\": 6,\n",
|
|
" \"3192\": 10,\n",
|
|
" \"3193\": 10,\n",
|
|
" \"3194\": 10,\n",
|
|
" \"3195\": 10,\n",
|
|
" \"3196\": 1,\n",
|
|
" \"3197\": 1,\n",
|
|
" \"3198\": 3,\n",
|
|
" \"3199\": 1,\n",
|
|
" \"3200\": 1,\n",
|
|
" \"3201\": 2,\n",
|
|
" \"3202\": 2,\n",
|
|
" \"3203\": 3,\n",
|
|
" \"3204\": 2,\n",
|
|
" \"3205\": 2,\n",
|
|
" \"3206\": 4,\n",
|
|
" \"3207\": 8,\n",
|
|
" \"3208\": 4,\n",
|
|
" \"3209\": 1,\n",
|
|
" \"3210\": 1,\n",
|
|
" \"3211\": 4,\n",
|
|
" \"3212\": 3,\n",
|
|
" \"3213\": 2,\n",
|
|
" \"3214\": 1,\n",
|
|
" \"3215\": 2,\n",
|
|
" \"3216\": 2,\n",
|
|
" \"3217\": 2,\n",
|
|
" \"3218\": 2,\n",
|
|
" \"3219\": 3,\n",
|
|
" \"3220\": 3,\n",
|
|
" \"3221\": 4,\n",
|
|
" \"3222\": 3,\n",
|
|
" \"3223\": 9,\n",
|
|
" \"3224\": 7,\n",
|
|
" \"3225\": 1,\n",
|
|
" \"3226\": 2,\n",
|
|
" \"3227\": 2,\n",
|
|
" \"3228\": 5,\n",
|
|
" \"3229\": 2,\n",
|
|
" \"3230\": 4,\n",
|
|
" \"3231\": 5,\n",
|
|
" \"3232\": 6,\n",
|
|
" \"3233\": 5,\n",
|
|
" \"3234\": 2,\n",
|
|
" \"3235\": 3,\n",
|
|
" \"3236\": 1,\n",
|
|
" \"3237\": 1,\n",
|
|
" \"3238\": 1,\n",
|
|
" \"3239\": 1,\n",
|
|
" \"3240\": 1,\n",
|
|
" \"3241\": 1,\n",
|
|
" \"3242\": 3,\n",
|
|
" \"3243\": 1,\n",
|
|
" \"3244\": 1,\n",
|
|
" \"3245\": 2,\n",
|
|
" \"3246\": 2,\n",
|
|
" \"3247\": 3,\n",
|
|
" \"3248\": 2,\n",
|
|
" \"3249\": 2,\n",
|
|
" \"3250\": 4,\n",
|
|
" \"3251\": 8,\n",
|
|
" \"3252\": 4,\n",
|
|
" \"3253\": 1,\n",
|
|
" \"3254\": 1,\n",
|
|
" \"3255\": 4,\n",
|
|
" \"3256\": 3,\n",
|
|
" \"3257\": 2,\n",
|
|
" \"3258\": 1,\n",
|
|
" \"3259\": 2,\n",
|
|
" \"3260\": 2,\n",
|
|
" \"3261\": 2,\n",
|
|
" \"3262\": 2,\n",
|
|
" \"3263\": 3,\n",
|
|
" \"3264\": 3,\n",
|
|
" \"3265\": 4,\n",
|
|
" \"3266\": 3,\n",
|
|
" \"3267\": 9,\n",
|
|
" \"3268\": 7,\n",
|
|
" \"3269\": 1,\n",
|
|
" \"3270\": 2,\n",
|
|
" \"3271\": 2,\n",
|
|
" \"3272\": 5,\n",
|
|
" \"3273\": 2,\n",
|
|
" \"3274\": 4,\n",
|
|
" \"3275\": 5,\n",
|
|
" \"3276\": 6,\n",
|
|
" \"3277\": 8,\n",
|
|
" \"3278\": 5,\n",
|
|
" \"3279\": 6,\n",
|
|
" \"3280\": 1,\n",
|
|
" \"3281\": 1,\n",
|
|
" \"3282\": 1,\n",
|
|
" \"3283\": 1,\n",
|
|
" \"3284\": 1,\n",
|
|
" \"3285\": 1,\n",
|
|
" \"3286\": 3,\n",
|
|
" \"3287\": 1,\n",
|
|
" \"3288\": 1,\n",
|
|
" \"3289\": 2,\n",
|
|
" \"3290\": 2,\n",
|
|
" \"3291\": 3,\n",
|
|
" \"3292\": 2,\n",
|
|
" \"3293\": 2,\n",
|
|
" \"3294\": 4,\n",
|
|
" \"3295\": 8,\n",
|
|
" \"3296\": 4,\n",
|
|
" \"3297\": 1,\n",
|
|
" \"3298\": 1,\n",
|
|
" \"3299\": 4,\n",
|
|
" \"3300\": 3,\n",
|
|
" \"3301\": 2,\n",
|
|
" \"3302\": 1,\n",
|
|
" \"3303\": 2,\n",
|
|
" \"3304\": 2,\n",
|
|
" \"3305\": 2,\n",
|
|
" \"3306\": 2,\n",
|
|
" \"3307\": 3,\n",
|
|
" \"3308\": 3,\n",
|
|
" \"3309\": 4,\n",
|
|
" \"3310\": 3,\n",
|
|
" \"3311\": 9,\n",
|
|
" \"3312\": 7,\n",
|
|
" \"3313\": 1,\n",
|
|
" \"3314\": 2,\n",
|
|
" \"3315\": 2,\n",
|
|
" \"3316\": 5,\n",
|
|
" \"3317\": 2,\n",
|
|
" \"3318\": 4,\n",
|
|
" \"3319\": 5,\n",
|
|
" \"3320\": 6,\n",
|
|
" \"3321\": 8,\n",
|
|
" \"3322\": 5,\n",
|
|
" \"3323\": 6,\n",
|
|
" \"3324\": 10,\n",
|
|
" \"3325\": 10,\n",
|
|
" \"3326\": 10,\n",
|
|
" \"3327\": 10,\n",
|
|
" \"3328\": 1,\n",
|
|
" \"3329\": 1,\n",
|
|
" \"3330\": 3,\n",
|
|
" \"3331\": 1,\n",
|
|
" \"3332\": 1,\n",
|
|
" \"3333\": 2,\n",
|
|
" \"3334\": 2,\n",
|
|
" \"3335\": 3,\n",
|
|
" \"3336\": 2,\n",
|
|
" \"3337\": 2,\n",
|
|
" \"3338\": 4,\n",
|
|
" \"3339\": 8,\n",
|
|
" \"3340\": 4,\n",
|
|
" \"3341\": 1,\n",
|
|
" \"3342\": 1,\n",
|
|
" \"3343\": 4,\n",
|
|
" \"3344\": 3,\n",
|
|
" \"3345\": 2,\n",
|
|
" \"3346\": 1,\n",
|
|
" \"3347\": 2,\n",
|
|
" \"3348\": 2,\n",
|
|
" \"3349\": 2,\n",
|
|
" \"3350\": 2,\n",
|
|
" \"3351\": 3,\n",
|
|
" \"3352\": 3,\n",
|
|
" \"3353\": 4,\n",
|
|
" \"3354\": 3,\n",
|
|
" \"3355\": 9,\n",
|
|
" \"3356\": 7,\n",
|
|
" \"3357\": 1,\n",
|
|
" \"3358\": 2,\n",
|
|
" \"3359\": 2,\n",
|
|
" \"3360\": 5,\n",
|
|
" \"3361\": 2,\n",
|
|
" \"3362\": 4,\n",
|
|
" \"3363\": 5,\n",
|
|
" \"3364\": 6,\n",
|
|
" \"3365\": 5,\n",
|
|
" \"3366\": 2,\n",
|
|
" \"3367\": 3,\n",
|
|
" \"3368\": 1,\n",
|
|
" \"3369\": 1,\n",
|
|
" \"3370\": 1,\n",
|
|
" \"3371\": 1,\n",
|
|
" \"3372\": 1,\n",
|
|
" \"3373\": 1,\n",
|
|
" \"3374\": 3,\n",
|
|
" \"3375\": 1,\n",
|
|
" \"3376\": 1,\n",
|
|
" \"3377\": 2,\n",
|
|
" \"3378\": 2,\n",
|
|
" \"3379\": 3,\n",
|
|
" \"3380\": 2,\n",
|
|
" \"3381\": 2,\n",
|
|
" \"3382\": 4,\n",
|
|
" \"3383\": 8,\n",
|
|
" \"3384\": 4,\n",
|
|
" \"3385\": 1,\n",
|
|
" \"3386\": 1,\n",
|
|
" \"3387\": 4,\n",
|
|
" \"3388\": 3,\n",
|
|
" \"3389\": 2,\n",
|
|
" \"3390\": 1,\n",
|
|
" \"3391\": 2,\n",
|
|
" \"3392\": 2,\n",
|
|
" \"3393\": 2,\n",
|
|
" \"3394\": 2,\n",
|
|
" \"3395\": 3,\n",
|
|
" \"3396\": 3,\n",
|
|
" \"3397\": 4,\n",
|
|
" \"3398\": 3,\n",
|
|
" \"3399\": 9,\n",
|
|
" \"3400\": 7,\n",
|
|
" \"3401\": 1,\n",
|
|
" \"3402\": 2,\n",
|
|
" \"3403\": 2,\n",
|
|
" \"3404\": 5,\n",
|
|
" \"3405\": 2,\n",
|
|
" \"3406\": 4,\n",
|
|
" \"3407\": 5,\n",
|
|
" \"3408\": 6,\n",
|
|
" \"3409\": 8,\n",
|
|
" \"3410\": 5,\n",
|
|
" \"3411\": 6,\n",
|
|
" \"3412\": 1,\n",
|
|
" \"3413\": 1,\n",
|
|
" \"3414\": 1,\n",
|
|
" \"3415\": 1,\n",
|
|
" \"3416\": 1,\n",
|
|
" \"3417\": 1,\n",
|
|
" \"3418\": 3,\n",
|
|
" \"3419\": 1,\n",
|
|
" \"3420\": 1,\n",
|
|
" \"3421\": 2,\n",
|
|
" \"3422\": 2,\n",
|
|
" \"3423\": 3,\n",
|
|
" \"3424\": 2,\n",
|
|
" \"3425\": 2,\n",
|
|
" \"3426\": 4,\n",
|
|
" \"3427\": 8,\n",
|
|
" \"3428\": 4,\n",
|
|
" \"3429\": 1,\n",
|
|
" \"3430\": 1,\n",
|
|
" \"3431\": 4,\n",
|
|
" \"3432\": 3,\n",
|
|
" \"3433\": 2,\n",
|
|
" \"3434\": 1,\n",
|
|
" \"3435\": 2,\n",
|
|
" \"3436\": 2,\n",
|
|
" \"3437\": 2,\n",
|
|
" \"3438\": 2,\n",
|
|
" \"3439\": 3,\n",
|
|
" \"3440\": 3,\n",
|
|
" \"3441\": 4,\n",
|
|
" \"3442\": 3,\n",
|
|
" \"3443\": 9,\n",
|
|
" \"3444\": 7,\n",
|
|
" \"3445\": 1,\n",
|
|
" \"3446\": 2,\n",
|
|
" \"3447\": 2,\n",
|
|
" \"3448\": 5,\n",
|
|
" \"3449\": 2,\n",
|
|
" \"3450\": 4,\n",
|
|
" \"3451\": 5,\n",
|
|
" \"3452\": 6,\n",
|
|
" \"3453\": 8,\n",
|
|
" \"3454\": 5,\n",
|
|
" \"3455\": 6,\n",
|
|
" \"3456\": 10,\n",
|
|
" \"3457\": 10,\n",
|
|
" \"3458\": 10,\n",
|
|
" \"3459\": 10,\n",
|
|
" \"3460\": 1,\n",
|
|
" \"3461\": 1,\n",
|
|
" \"3462\": 3,\n",
|
|
" \"3463\": 1,\n",
|
|
" \"3464\": 1,\n",
|
|
" \"3465\": 2,\n",
|
|
" \"3466\": 2,\n",
|
|
" \"3467\": 3,\n",
|
|
" \"3468\": 2,\n",
|
|
" \"3469\": 2,\n",
|
|
" \"3470\": 4,\n",
|
|
" \"3471\": 8,\n",
|
|
" \"3472\": 4,\n",
|
|
" \"3473\": 1,\n",
|
|
" \"3474\": 1,\n",
|
|
" \"3475\": 4,\n",
|
|
" \"3476\": 3,\n",
|
|
" \"3477\": 2,\n",
|
|
" \"3478\": 1,\n",
|
|
" \"3479\": 2,\n",
|
|
" \"3480\": 2,\n",
|
|
" \"3481\": 2,\n",
|
|
" \"3482\": 2,\n",
|
|
" \"3483\": 3,\n",
|
|
" \"3484\": 3,\n",
|
|
" \"3485\": 4,\n",
|
|
" \"3486\": 3,\n",
|
|
" \"3487\": 9,\n",
|
|
" \"3488\": 7,\n",
|
|
" \"3489\": 1,\n",
|
|
" \"3490\": 2,\n",
|
|
" \"3491\": 2,\n",
|
|
" \"3492\": 5,\n",
|
|
" \"3493\": 2,\n",
|
|
" \"3494\": 4,\n",
|
|
" \"3495\": 5,\n",
|
|
" \"3496\": 6,\n",
|
|
" \"3497\": 5,\n",
|
|
" \"3498\": 2,\n",
|
|
" \"3499\": 3,\n",
|
|
" \"3500\": 1,\n",
|
|
" \"3501\": 1,\n",
|
|
" \"3502\": 1,\n",
|
|
" \"3503\": 1,\n",
|
|
" \"3504\": 1,\n",
|
|
" \"3505\": 1,\n",
|
|
" \"3506\": 3,\n",
|
|
" \"3507\": 1,\n",
|
|
" \"3508\": 1,\n",
|
|
" \"3509\": 2,\n",
|
|
" \"3510\": 2,\n",
|
|
" \"3511\": 3,\n",
|
|
" \"3512\": 2,\n",
|
|
" \"3513\": 2,\n",
|
|
" \"3514\": 4,\n",
|
|
" \"3515\": 8,\n",
|
|
" \"3516\": 4,\n",
|
|
" \"3517\": 1,\n",
|
|
" \"3518\": 1,\n",
|
|
" \"3519\": 4,\n",
|
|
" \"3520\": 3,\n",
|
|
" \"3521\": 2,\n",
|
|
" \"3522\": 1,\n",
|
|
" \"3523\": 2,\n",
|
|
" \"3524\": 2,\n",
|
|
" \"3525\": 2,\n",
|
|
" \"3526\": 2,\n",
|
|
" \"3527\": 3,\n",
|
|
" \"3528\": 3,\n",
|
|
" \"3529\": 4,\n",
|
|
" \"3530\": 3,\n",
|
|
" \"3531\": 9,\n",
|
|
" \"3532\": 7,\n",
|
|
" \"3533\": 1,\n",
|
|
" \"3534\": 2,\n",
|
|
" \"3535\": 2,\n",
|
|
" \"3536\": 5,\n",
|
|
" \"3537\": 2,\n",
|
|
" \"3538\": 4,\n",
|
|
" \"3539\": 5,\n",
|
|
" \"3540\": 6,\n",
|
|
" \"3541\": 8,\n",
|
|
" \"3542\": 5,\n",
|
|
" \"3543\": 6,\n",
|
|
" \"3544\": 1,\n",
|
|
" \"3545\": 1,\n",
|
|
" \"3546\": 1,\n",
|
|
" \"3547\": 1,\n",
|
|
" \"3548\": 1,\n",
|
|
" \"3549\": 1,\n",
|
|
" \"3550\": 3,\n",
|
|
" \"3551\": 1,\n",
|
|
" \"3552\": 1,\n",
|
|
" \"3553\": 2,\n",
|
|
" \"3554\": 2,\n",
|
|
" \"3555\": 3,\n",
|
|
" \"3556\": 2,\n",
|
|
" \"3557\": 2,\n",
|
|
" \"3558\": 4,\n",
|
|
" \"3559\": 8,\n",
|
|
" \"3560\": 4,\n",
|
|
" \"3561\": 1,\n",
|
|
" \"3562\": 1,\n",
|
|
" \"3563\": 4,\n",
|
|
" \"3564\": 3,\n",
|
|
" \"3565\": 2,\n",
|
|
" \"3566\": 1,\n",
|
|
" \"3567\": 2,\n",
|
|
" \"3568\": 2,\n",
|
|
" \"3569\": 2,\n",
|
|
" \"3570\": 2,\n",
|
|
" \"3571\": 3,\n",
|
|
" \"3572\": 3,\n",
|
|
" \"3573\": 4,\n",
|
|
" \"3574\": 3,\n",
|
|
" \"3575\": 9,\n",
|
|
" \"3576\": 7,\n",
|
|
" \"3577\": 1,\n",
|
|
" \"3578\": 2,\n",
|
|
" \"3579\": 2,\n",
|
|
" \"3580\": 5,\n",
|
|
" \"3581\": 2,\n",
|
|
" \"3582\": 4,\n",
|
|
" \"3583\": 5,\n",
|
|
" \"3584\": 6,\n",
|
|
" \"3585\": 8,\n",
|
|
" \"3586\": 5,\n",
|
|
" \"3587\": 6,\n",
|
|
" \"3588\": 10,\n",
|
|
" \"3589\": 10,\n",
|
|
" \"3590\": 10,\n",
|
|
" \"3591\": 10,\n",
|
|
" \"3592\": 1,\n",
|
|
" \"3593\": 1,\n",
|
|
" \"3594\": 3,\n",
|
|
" \"3595\": 1,\n",
|
|
" \"3596\": 1,\n",
|
|
" \"3597\": 2,\n",
|
|
" \"3598\": 2,\n",
|
|
" \"3599\": 3,\n",
|
|
" \"3600\": 2,\n",
|
|
" \"3601\": 2,\n",
|
|
" \"3602\": 4,\n",
|
|
" \"3603\": 8,\n",
|
|
" \"3604\": 4,\n",
|
|
" \"3605\": 1,\n",
|
|
" \"3606\": 1,\n",
|
|
" \"3607\": 4,\n",
|
|
" \"3608\": 3,\n",
|
|
" \"3609\": 2,\n",
|
|
" \"3610\": 1,\n",
|
|
" \"3611\": 2,\n",
|
|
" \"3612\": 2,\n",
|
|
" \"3613\": 2,\n",
|
|
" \"3614\": 2,\n",
|
|
" \"3615\": 3,\n",
|
|
" \"3616\": 3,\n",
|
|
" \"3617\": 4,\n",
|
|
" \"3618\": 3,\n",
|
|
" \"3619\": 9,\n",
|
|
" \"3620\": 7,\n",
|
|
" \"3621\": 1,\n",
|
|
" \"3622\": 2,\n",
|
|
" \"3623\": 2,\n",
|
|
" \"3624\": 5,\n",
|
|
" \"3625\": 2,\n",
|
|
" \"3626\": 4,\n",
|
|
" \"3627\": 5,\n",
|
|
" \"3628\": 6,\n",
|
|
" \"3629\": 5,\n",
|
|
" \"3630\": 2,\n",
|
|
" \"3631\": 3,\n",
|
|
" \"3632\": 1,\n",
|
|
" \"3633\": 1,\n",
|
|
" \"3634\": 1,\n",
|
|
" \"3635\": 1,\n",
|
|
" \"3636\": 1,\n",
|
|
" \"3637\": 1,\n",
|
|
" \"3638\": 3,\n",
|
|
" \"3639\": 1,\n",
|
|
" \"3640\": 1,\n",
|
|
" \"3641\": 2,\n",
|
|
" \"3642\": 2,\n",
|
|
" \"3643\": 3,\n",
|
|
" \"3644\": 2,\n",
|
|
" \"3645\": 2,\n",
|
|
" \"3646\": 4,\n",
|
|
" \"3647\": 8,\n",
|
|
" \"3648\": 4,\n",
|
|
" \"3649\": 1,\n",
|
|
" \"3650\": 1,\n",
|
|
" \"3651\": 4,\n",
|
|
" \"3652\": 3,\n",
|
|
" \"3653\": 2,\n",
|
|
" \"3654\": 1,\n",
|
|
" \"3655\": 2,\n",
|
|
" \"3656\": 2,\n",
|
|
" \"3657\": 2,\n",
|
|
" \"3658\": 2,\n",
|
|
" \"3659\": 3,\n",
|
|
" \"3660\": 3,\n",
|
|
" \"3661\": 4,\n",
|
|
" \"3662\": 3,\n",
|
|
" \"3663\": 9,\n",
|
|
" \"3664\": 7,\n",
|
|
" \"3665\": 1,\n",
|
|
" \"3666\": 2,\n",
|
|
" \"3667\": 2,\n",
|
|
" \"3668\": 5,\n",
|
|
" \"3669\": 2,\n",
|
|
" \"3670\": 4,\n",
|
|
" \"3671\": 5,\n",
|
|
" \"3672\": 6,\n",
|
|
" \"3673\": 8,\n",
|
|
" \"3674\": 5,\n",
|
|
" \"3675\": 6,\n",
|
|
" \"3676\": 1,\n",
|
|
" \"3677\": 1,\n",
|
|
" \"3678\": 1,\n",
|
|
" \"3679\": 1,\n",
|
|
" \"3680\": 1,\n",
|
|
" \"3681\": 1,\n",
|
|
" \"3682\": 3,\n",
|
|
" \"3683\": 1,\n",
|
|
" \"3684\": 1,\n",
|
|
" \"3685\": 2,\n",
|
|
" \"3686\": 2,\n",
|
|
" \"3687\": 3,\n",
|
|
" \"3688\": 2,\n",
|
|
" \"3689\": 2,\n",
|
|
" \"3690\": 4,\n",
|
|
" \"3691\": 8,\n",
|
|
" \"3692\": 4,\n",
|
|
" \"3693\": 1,\n",
|
|
" \"3694\": 1,\n",
|
|
" \"3695\": 4,\n",
|
|
" \"3696\": 3,\n",
|
|
" \"3697\": 2,\n",
|
|
" \"3698\": 1,\n",
|
|
" \"3699\": 2,\n",
|
|
" \"3700\": 2,\n",
|
|
" \"3701\": 2,\n",
|
|
" \"3702\": 2,\n",
|
|
" \"3703\": 3,\n",
|
|
" \"3704\": 3,\n",
|
|
" \"3705\": 4,\n",
|
|
" \"3706\": 3,\n",
|
|
" \"3707\": 9,\n",
|
|
" \"3708\": 7,\n",
|
|
" \"3709\": 1,\n",
|
|
" \"3710\": 2,\n",
|
|
" \"3711\": 2,\n",
|
|
" \"3712\": 5,\n",
|
|
" \"3713\": 2,\n",
|
|
" \"3714\": 4,\n",
|
|
" \"3715\": 5,\n",
|
|
" \"3716\": 6,\n",
|
|
" \"3717\": 8,\n",
|
|
" \"3718\": 5,\n",
|
|
" \"3719\": 6,\n",
|
|
" \"3720\": 10,\n",
|
|
" \"3721\": 10,\n",
|
|
" \"3722\": 10,\n",
|
|
" \"3723\": 10,\n",
|
|
" \"3724\": 1,\n",
|
|
" \"3725\": 1,\n",
|
|
" \"3726\": 3,\n",
|
|
" \"3727\": 1,\n",
|
|
" \"3728\": 1,\n",
|
|
" \"3729\": 2,\n",
|
|
" \"3730\": 2,\n",
|
|
" \"3731\": 3,\n",
|
|
" \"3732\": 2,\n",
|
|
" \"3733\": 2,\n",
|
|
" \"3734\": 4,\n",
|
|
" \"3735\": 8,\n",
|
|
" \"3736\": 4,\n",
|
|
" \"3737\": 1,\n",
|
|
" \"3738\": 1,\n",
|
|
" \"3739\": 4,\n",
|
|
" \"3740\": 3,\n",
|
|
" \"3741\": 2,\n",
|
|
" \"3742\": 1,\n",
|
|
" \"3743\": 2,\n",
|
|
" \"3744\": 2,\n",
|
|
" \"3745\": 2,\n",
|
|
" \"3746\": 2,\n",
|
|
" \"3747\": 3,\n",
|
|
" \"3748\": 3,\n",
|
|
" \"3749\": 4,\n",
|
|
" \"3750\": 3,\n",
|
|
" \"3751\": 9,\n",
|
|
" \"3752\": 7,\n",
|
|
" \"3753\": 1,\n",
|
|
" \"3754\": 2,\n",
|
|
" \"3755\": 2,\n",
|
|
" \"3756\": 5,\n",
|
|
" \"3757\": 2,\n",
|
|
" \"3758\": 4,\n",
|
|
" \"3759\": 5,\n",
|
|
" \"3760\": 6,\n",
|
|
" \"3761\": 5,\n",
|
|
" \"3762\": 2,\n",
|
|
" \"3763\": 3,\n",
|
|
" \"3764\": 1,\n",
|
|
" \"3765\": 1,\n",
|
|
" \"3766\": 1,\n",
|
|
" \"3767\": 1,\n",
|
|
" \"3768\": 1,\n",
|
|
" \"3769\": 1,\n",
|
|
" \"3770\": 3,\n",
|
|
" \"3771\": 1,\n",
|
|
" \"3772\": 1,\n",
|
|
" \"3773\": 2,\n",
|
|
" \"3774\": 2,\n",
|
|
" \"3775\": 3,\n",
|
|
" \"3776\": 2,\n",
|
|
" \"3777\": 2,\n",
|
|
" \"3778\": 4,\n",
|
|
" \"3779\": 8,\n",
|
|
" \"3780\": 4,\n",
|
|
" \"3781\": 1,\n",
|
|
" \"3782\": 1,\n",
|
|
" \"3783\": 4,\n",
|
|
" \"3784\": 3,\n",
|
|
" \"3785\": 2,\n",
|
|
" \"3786\": 1,\n",
|
|
" \"3787\": 2,\n",
|
|
" \"3788\": 2,\n",
|
|
" \"3789\": 2,\n",
|
|
" \"3790\": 2,\n",
|
|
" \"3791\": 3,\n",
|
|
" \"3792\": 3,\n",
|
|
" \"3793\": 4,\n",
|
|
" \"3794\": 3,\n",
|
|
" \"3795\": 9,\n",
|
|
" \"3796\": 7,\n",
|
|
" \"3797\": 1,\n",
|
|
" \"3798\": 2,\n",
|
|
" \"3799\": 2,\n",
|
|
" \"3800\": 5,\n",
|
|
" \"3801\": 2,\n",
|
|
" \"3802\": 4,\n",
|
|
" \"3803\": 5,\n",
|
|
" \"3804\": 6,\n",
|
|
" \"3805\": 8,\n",
|
|
" \"3806\": 5,\n",
|
|
" \"3807\": 6,\n",
|
|
" \"3808\": 1,\n",
|
|
" \"3809\": 1,\n",
|
|
" \"3810\": 1,\n",
|
|
" \"3811\": 1,\n",
|
|
" \"3812\": 1,\n",
|
|
" \"3813\": 1,\n",
|
|
" \"3814\": 3,\n",
|
|
" \"3815\": 1,\n",
|
|
" \"3816\": 1,\n",
|
|
" \"3817\": 2,\n",
|
|
" \"3818\": 2,\n",
|
|
" \"3819\": 3,\n",
|
|
" \"3820\": 2,\n",
|
|
" \"3821\": 2,\n",
|
|
" \"3822\": 4,\n",
|
|
" \"3823\": 8,\n",
|
|
" \"3824\": 4,\n",
|
|
" \"3825\": 1,\n",
|
|
" \"3826\": 1,\n",
|
|
" \"3827\": 4,\n",
|
|
" \"3828\": 3,\n",
|
|
" \"3829\": 2,\n",
|
|
" \"3830\": 1,\n",
|
|
" \"3831\": 2,\n",
|
|
" \"3832\": 2,\n",
|
|
" \"3833\": 2,\n",
|
|
" \"3834\": 2,\n",
|
|
" \"3835\": 3,\n",
|
|
" \"3836\": 3,\n",
|
|
" \"3837\": 4,\n",
|
|
" \"3838\": 3,\n",
|
|
" \"3839\": 9,\n",
|
|
" \"3840\": 7,\n",
|
|
" \"3841\": 1,\n",
|
|
" \"3842\": 2,\n",
|
|
" \"3843\": 2,\n",
|
|
" \"3844\": 5,\n",
|
|
" \"3845\": 2,\n",
|
|
" \"3846\": 4,\n",
|
|
" \"3847\": 5,\n",
|
|
" \"3848\": 6,\n",
|
|
" \"3849\": 8,\n",
|
|
" \"3850\": 5,\n",
|
|
" \"3851\": 6,\n",
|
|
" \"3852\": 10,\n",
|
|
" \"3853\": 10,\n",
|
|
" \"3854\": 10,\n",
|
|
" \"3855\": 10,\n",
|
|
" \"3856\": 1,\n",
|
|
" \"3857\": 1,\n",
|
|
" \"3858\": 3,\n",
|
|
" \"3859\": 1,\n",
|
|
" \"3860\": 1,\n",
|
|
" \"3861\": 2,\n",
|
|
" \"3862\": 2,\n",
|
|
" \"3863\": 3,\n",
|
|
" \"3864\": 2,\n",
|
|
" \"3865\": 2,\n",
|
|
" \"3866\": 4,\n",
|
|
" \"3867\": 8,\n",
|
|
" \"3868\": 4,\n",
|
|
" \"3869\": 1,\n",
|
|
" \"3870\": 1,\n",
|
|
" \"3871\": 4,\n",
|
|
" \"3872\": 3,\n",
|
|
" \"3873\": 2,\n",
|
|
" \"3874\": 1,\n",
|
|
" \"3875\": 2,\n",
|
|
" \"3876\": 2,\n",
|
|
" \"3877\": 2,\n",
|
|
" \"3878\": 2,\n",
|
|
" \"3879\": 3,\n",
|
|
" \"3880\": 3,\n",
|
|
" \"3881\": 4,\n",
|
|
" \"3882\": 3,\n",
|
|
" \"3883\": 9,\n",
|
|
" \"3884\": 7,\n",
|
|
" \"3885\": 1,\n",
|
|
" \"3886\": 2,\n",
|
|
" \"3887\": 2,\n",
|
|
" \"3888\": 5,\n",
|
|
" \"3889\": 2,\n",
|
|
" \"3890\": 4,\n",
|
|
" \"3891\": 5,\n",
|
|
" \"3892\": 6,\n",
|
|
" \"3893\": 5,\n",
|
|
" \"3894\": 2,\n",
|
|
" \"3895\": 3,\n",
|
|
" \"3896\": 1,\n",
|
|
" \"3897\": 1,\n",
|
|
" \"3898\": 1,\n",
|
|
" \"3899\": 1,\n",
|
|
" \"3900\": 1,\n",
|
|
" \"3901\": 1,\n",
|
|
" \"3902\": 3,\n",
|
|
" \"3903\": 1,\n",
|
|
" \"3904\": 1,\n",
|
|
" \"3905\": 2,\n",
|
|
" \"3906\": 2,\n",
|
|
" \"3907\": 3,\n",
|
|
" \"3908\": 2,\n",
|
|
" \"3909\": 2,\n",
|
|
" \"3910\": 4,\n",
|
|
" \"3911\": 8,\n",
|
|
" \"3912\": 4,\n",
|
|
" \"3913\": 1,\n",
|
|
" \"3914\": 1,\n",
|
|
" \"3915\": 4,\n",
|
|
" \"3916\": 3,\n",
|
|
" \"3917\": 2,\n",
|
|
" \"3918\": 1,\n",
|
|
" \"3919\": 2,\n",
|
|
" \"3920\": 2,\n",
|
|
" \"3921\": 2,\n",
|
|
" \"3922\": 2,\n",
|
|
" \"3923\": 3,\n",
|
|
" \"3924\": 3,\n",
|
|
" \"3925\": 4,\n",
|
|
" \"3926\": 3,\n",
|
|
" \"3927\": 9,\n",
|
|
" \"3928\": 7,\n",
|
|
" \"3929\": 1,\n",
|
|
" \"3930\": 2,\n",
|
|
" \"3931\": 2,\n",
|
|
" \"3932\": 5,\n",
|
|
" \"3933\": 2,\n",
|
|
" \"3934\": 4,\n",
|
|
" \"3935\": 5,\n",
|
|
" \"3936\": 6,\n",
|
|
" \"3937\": 8,\n",
|
|
" \"3938\": 5,\n",
|
|
" \"3939\": 6,\n",
|
|
" \"3940\": 1,\n",
|
|
" \"3941\": 1,\n",
|
|
" \"3942\": 1,\n",
|
|
" \"3943\": 1,\n",
|
|
" \"3944\": 1,\n",
|
|
" \"3945\": 1,\n",
|
|
" \"3946\": 3,\n",
|
|
" \"3947\": 1,\n",
|
|
" \"3948\": 1,\n",
|
|
" \"3949\": 2,\n",
|
|
" \"3950\": 2,\n",
|
|
" \"3951\": 3,\n",
|
|
" \"3952\": 2,\n",
|
|
" \"3953\": 2,\n",
|
|
" \"3954\": 4,\n",
|
|
" \"3955\": 8,\n",
|
|
" \"3956\": 4,\n",
|
|
" \"3957\": 1,\n",
|
|
" \"3958\": 1,\n",
|
|
" \"3959\": 4,\n",
|
|
" \"3960\": 3,\n",
|
|
" \"3961\": 2,\n",
|
|
" \"3962\": 1,\n",
|
|
" \"3963\": 2,\n",
|
|
" \"3964\": 2,\n",
|
|
" \"3965\": 2,\n",
|
|
" \"3966\": 2,\n",
|
|
" \"3967\": 3,\n",
|
|
" \"3968\": 3,\n",
|
|
" \"3969\": 4,\n",
|
|
" \"3970\": 3,\n",
|
|
" \"3971\": 9,\n",
|
|
" \"3972\": 7,\n",
|
|
" \"3973\": 1,\n",
|
|
" \"3974\": 2,\n",
|
|
" \"3975\": 2,\n",
|
|
" \"3976\": 5,\n",
|
|
" \"3977\": 2,\n",
|
|
" \"3978\": 4,\n",
|
|
" \"3979\": 5,\n",
|
|
" \"3980\": 6,\n",
|
|
" \"3981\": 8,\n",
|
|
" \"3982\": 5,\n",
|
|
" \"3983\": 6,\n",
|
|
" \"3984\": 10,\n",
|
|
" \"3985\": 10,\n",
|
|
" \"3986\": 10,\n",
|
|
" \"3987\": 10,\n",
|
|
" \"3988\": 1,\n",
|
|
" \"3989\": 1,\n",
|
|
" \"3990\": 3,\n",
|
|
" \"3991\": 1,\n",
|
|
" \"3992\": 1,\n",
|
|
" \"3993\": 2,\n",
|
|
" \"3994\": 2,\n",
|
|
" \"3995\": 3,\n",
|
|
" \"3996\": 2,\n",
|
|
" \"3997\": 2,\n",
|
|
" \"3998\": 4,\n",
|
|
" \"3999\": 8,\n",
|
|
" \"4000\": 4,\n",
|
|
" \"4001\": 1,\n",
|
|
" \"4002\": 1,\n",
|
|
" \"4003\": 4,\n",
|
|
" \"4004\": 3,\n",
|
|
" \"4005\": 2,\n",
|
|
" \"4006\": 1,\n",
|
|
" \"4007\": 2,\n",
|
|
" \"4008\": 2,\n",
|
|
" \"4009\": 2,\n",
|
|
" \"4010\": 2,\n",
|
|
" \"4011\": 3,\n",
|
|
" \"4012\": 3,\n",
|
|
" \"4013\": 4,\n",
|
|
" \"4014\": 3,\n",
|
|
" \"4015\": 9,\n",
|
|
" \"4016\": 7,\n",
|
|
" \"4017\": 1,\n",
|
|
" \"4018\": 2,\n",
|
|
" \"4019\": 2,\n",
|
|
" \"4020\": 5,\n",
|
|
" \"4021\": 2,\n",
|
|
" \"4022\": 4,\n",
|
|
" \"4023\": 5,\n",
|
|
" \"4024\": 6,\n",
|
|
" \"4025\": 5,\n",
|
|
" \"4026\": 2,\n",
|
|
" \"4027\": 3,\n",
|
|
" \"4028\": 1,\n",
|
|
" \"4029\": 1,\n",
|
|
" \"4030\": 1,\n",
|
|
" \"4031\": 1,\n",
|
|
" \"4032\": 1,\n",
|
|
" \"4033\": 1,\n",
|
|
" \"4034\": 3,\n",
|
|
" \"4035\": 1,\n",
|
|
" \"4036\": 1,\n",
|
|
" \"4037\": 2,\n",
|
|
" \"4038\": 2,\n",
|
|
" \"4039\": 3,\n",
|
|
" \"4040\": 2,\n",
|
|
" \"4041\": 2,\n",
|
|
" \"4042\": 4,\n",
|
|
" \"4043\": 8,\n",
|
|
" \"4044\": 4,\n",
|
|
" \"4045\": 1,\n",
|
|
" \"4046\": 1,\n",
|
|
" \"4047\": 4,\n",
|
|
" \"4048\": 3,\n",
|
|
" \"4049\": 2,\n",
|
|
" \"4050\": 1,\n",
|
|
" \"4051\": 2,\n",
|
|
" \"4052\": 2,\n",
|
|
" \"4053\": 2,\n",
|
|
" \"4054\": 2,\n",
|
|
" \"4055\": 3,\n",
|
|
" \"4056\": 3,\n",
|
|
" \"4057\": 4,\n",
|
|
" \"4058\": 3,\n",
|
|
" \"4059\": 9,\n",
|
|
" \"4060\": 7,\n",
|
|
" \"4061\": 1,\n",
|
|
" \"4062\": 2,\n",
|
|
" \"4063\": 2,\n",
|
|
" \"4064\": 5,\n",
|
|
" \"4065\": 2,\n",
|
|
" \"4066\": 4,\n",
|
|
" \"4067\": 5,\n",
|
|
" \"4068\": 6,\n",
|
|
" \"4069\": 8,\n",
|
|
" \"4070\": 5,\n",
|
|
" \"4071\": 6,\n",
|
|
" \"4072\": 1,\n",
|
|
" \"4073\": 1,\n",
|
|
" \"4074\": 1,\n",
|
|
" \"4075\": 1,\n",
|
|
" \"4076\": 1,\n",
|
|
" \"4077\": 1,\n",
|
|
" \"4078\": 3,\n",
|
|
" \"4079\": 1,\n",
|
|
" \"4080\": 1,\n",
|
|
" \"4081\": 2,\n",
|
|
" \"4082\": 2,\n",
|
|
" \"4083\": 3,\n",
|
|
" \"4084\": 2,\n",
|
|
" \"4085\": 2,\n",
|
|
" \"4086\": 4,\n",
|
|
" \"4087\": 8,\n",
|
|
" \"4088\": 4,\n",
|
|
" \"4089\": 1,\n",
|
|
" \"4090\": 1,\n",
|
|
" \"4091\": 4,\n",
|
|
" \"4092\": 3,\n",
|
|
" \"4093\": 2,\n",
|
|
" \"4094\": 1,\n",
|
|
" \"4095\": 2,\n",
|
|
" \"4096\": 2,\n",
|
|
" \"4097\": 2,\n",
|
|
" \"4098\": 2,\n",
|
|
" \"4099\": 3,\n",
|
|
" \"4100\": 3,\n",
|
|
" \"4101\": 4,\n",
|
|
" \"4102\": 3,\n",
|
|
" \"4103\": 9,\n",
|
|
" \"4104\": 7,\n",
|
|
" \"4105\": 1,\n",
|
|
" \"4106\": 2,\n",
|
|
" \"4107\": 2,\n",
|
|
" \"4108\": 5,\n",
|
|
" \"4109\": 2,\n",
|
|
" \"4110\": 4,\n",
|
|
" \"4111\": 5,\n",
|
|
" \"4112\": 6,\n",
|
|
" \"4113\": 8,\n",
|
|
" \"4114\": 5,\n",
|
|
" \"4115\": 6,\n",
|
|
" \"4116\": 10,\n",
|
|
" \"4117\": 10,\n",
|
|
" \"4118\": 10,\n",
|
|
" \"4119\": 10,\n",
|
|
" \"4120\": 1,\n",
|
|
" \"4121\": 1,\n",
|
|
" \"4122\": 3,\n",
|
|
" \"4123\": 1,\n",
|
|
" \"4124\": 1,\n",
|
|
" \"4125\": 2,\n",
|
|
" \"4126\": 2,\n",
|
|
" \"4127\": 3,\n",
|
|
" \"4128\": 2,\n",
|
|
" \"4129\": 2,\n",
|
|
" \"4130\": 4,\n",
|
|
" \"4131\": 8,\n",
|
|
" \"4132\": 4,\n",
|
|
" \"4133\": 1,\n",
|
|
" \"4134\": 1,\n",
|
|
" \"4135\": 4,\n",
|
|
" \"4136\": 3,\n",
|
|
" \"4137\": 2,\n",
|
|
" \"4138\": 1,\n",
|
|
" \"4139\": 2,\n",
|
|
" \"4140\": 2,\n",
|
|
" \"4141\": 2,\n",
|
|
" \"4142\": 2,\n",
|
|
" \"4143\": 3,\n",
|
|
" \"4144\": 3,\n",
|
|
" \"4145\": 4,\n",
|
|
" \"4146\": 3,\n",
|
|
" \"4147\": 9,\n",
|
|
" \"4148\": 7,\n",
|
|
" \"4149\": 1,\n",
|
|
" \"4150\": 2,\n",
|
|
" \"4151\": 2,\n",
|
|
" \"4152\": 5,\n",
|
|
" \"4153\": 2,\n",
|
|
" \"4154\": 4,\n",
|
|
" \"4155\": 5,\n",
|
|
" \"4156\": 6,\n",
|
|
" \"4157\": 5,\n",
|
|
" \"4158\": 2,\n",
|
|
" \"4159\": 3,\n",
|
|
" \"4160\": 1,\n",
|
|
" \"4161\": 1,\n",
|
|
" \"4162\": 1,\n",
|
|
" \"4163\": 1,\n",
|
|
" \"4164\": 1,\n",
|
|
" \"4165\": 1,\n",
|
|
" \"4166\": 3,\n",
|
|
" \"4167\": 1,\n",
|
|
" \"4168\": 1,\n",
|
|
" \"4169\": 2,\n",
|
|
" \"4170\": 2,\n",
|
|
" \"4171\": 3,\n",
|
|
" \"4172\": 2,\n",
|
|
" \"4173\": 2,\n",
|
|
" \"4174\": 4,\n",
|
|
" \"4175\": 8,\n",
|
|
" \"4176\": 4,\n",
|
|
" \"4177\": 1,\n",
|
|
" \"4178\": 1,\n",
|
|
" \"4179\": 4,\n",
|
|
" \"4180\": 3,\n",
|
|
" \"4181\": 2,\n",
|
|
" \"4182\": 1,\n",
|
|
" \"4183\": 2,\n",
|
|
" \"4184\": 2,\n",
|
|
" \"4185\": 2,\n",
|
|
" \"4186\": 2,\n",
|
|
" \"4187\": 3,\n",
|
|
" \"4188\": 3,\n",
|
|
" \"4189\": 4,\n",
|
|
" \"4190\": 3,\n",
|
|
" \"4191\": 9,\n",
|
|
" \"4192\": 7,\n",
|
|
" \"4193\": 1,\n",
|
|
" \"4194\": 2,\n",
|
|
" \"4195\": 2,\n",
|
|
" \"4196\": 5,\n",
|
|
" \"4197\": 2,\n",
|
|
" \"4198\": 4,\n",
|
|
" \"4199\": 5,\n",
|
|
" \"4200\": 6,\n",
|
|
" \"4201\": 8,\n",
|
|
" \"4202\": 5,\n",
|
|
" \"4203\": 6,\n",
|
|
" \"4204\": 1,\n",
|
|
" \"4205\": 1,\n",
|
|
" \"4206\": 1,\n",
|
|
" \"4207\": 1,\n",
|
|
" \"4208\": 1,\n",
|
|
" \"4209\": 1,\n",
|
|
" \"4210\": 3,\n",
|
|
" \"4211\": 1,\n",
|
|
" \"4212\": 1,\n",
|
|
" \"4213\": 2,\n",
|
|
" \"4214\": 2,\n",
|
|
" \"4215\": 3,\n",
|
|
" \"4216\": 2,\n",
|
|
" \"4217\": 2,\n",
|
|
" \"4218\": 4,\n",
|
|
" \"4219\": 8,\n",
|
|
" \"4220\": 4,\n",
|
|
" \"4221\": 1,\n",
|
|
" \"4222\": 1,\n",
|
|
" \"4223\": 4,\n",
|
|
" \"4224\": 3,\n",
|
|
" \"4225\": 2,\n",
|
|
" \"4226\": 1,\n",
|
|
" \"4227\": 2,\n",
|
|
" \"4228\": 2,\n",
|
|
" \"4229\": 2,\n",
|
|
" \"4230\": 2,\n",
|
|
" \"4231\": 3,\n",
|
|
" \"4232\": 3,\n",
|
|
" \"4233\": 4,\n",
|
|
" \"4234\": 3,\n",
|
|
" \"4235\": 9,\n",
|
|
" \"4236\": 7,\n",
|
|
" \"4237\": 1,\n",
|
|
" \"4238\": 2,\n",
|
|
" \"4239\": 2,\n",
|
|
" \"4240\": 5,\n",
|
|
" \"4241\": 2,\n",
|
|
" \"4242\": 4,\n",
|
|
" \"4243\": 5,\n",
|
|
" \"4244\": 6,\n",
|
|
" \"4245\": 8,\n",
|
|
" \"4246\": 5,\n",
|
|
" \"4247\": 6,\n",
|
|
" \"4248\": 10,\n",
|
|
" \"4249\": 10,\n",
|
|
" \"4250\": 10,\n",
|
|
" \"4251\": 10,\n",
|
|
" \"4252\": 1,\n",
|
|
" \"4253\": 1,\n",
|
|
" \"4254\": 3,\n",
|
|
" \"4255\": 1,\n",
|
|
" \"4256\": 1,\n",
|
|
" \"4257\": 2,\n",
|
|
" \"4258\": 2,\n",
|
|
" \"4259\": 3,\n",
|
|
" \"4260\": 2,\n",
|
|
" \"4261\": 2,\n",
|
|
" \"4262\": 4,\n",
|
|
" \"4263\": 8,\n",
|
|
" \"4264\": 4,\n",
|
|
" \"4265\": 1,\n",
|
|
" \"4266\": 1,\n",
|
|
" \"4267\": 4,\n",
|
|
" \"4268\": 3,\n",
|
|
" \"4269\": 2,\n",
|
|
" \"4270\": 1,\n",
|
|
" \"4271\": 2,\n",
|
|
" \"4272\": 2,\n",
|
|
" \"4273\": 2,\n",
|
|
" \"4274\": 2,\n",
|
|
" \"4275\": 3,\n",
|
|
" \"4276\": 3,\n",
|
|
" \"4277\": 4,\n",
|
|
" \"4278\": 3,\n",
|
|
" \"4279\": 9,\n",
|
|
" \"4280\": 7,\n",
|
|
" \"4281\": 1,\n",
|
|
" \"4282\": 2,\n",
|
|
" \"4283\": 2,\n",
|
|
" \"4284\": 5,\n",
|
|
" \"4285\": 2,\n",
|
|
" \"4286\": 4,\n",
|
|
" \"4287\": 5,\n",
|
|
" \"4288\": 6,\n",
|
|
" \"4289\": 5,\n",
|
|
" \"4290\": 2,\n",
|
|
" \"4291\": 3,\n",
|
|
" \"4292\": 1,\n",
|
|
" \"4293\": 1,\n",
|
|
" \"4294\": 1,\n",
|
|
" \"4295\": 1,\n",
|
|
" \"4296\": 1,\n",
|
|
" \"4297\": 1,\n",
|
|
" \"4298\": 3,\n",
|
|
" \"4299\": 1,\n",
|
|
" \"4300\": 1,\n",
|
|
" \"4301\": 2,\n",
|
|
" \"4302\": 2,\n",
|
|
" \"4303\": 3,\n",
|
|
" \"4304\": 2,\n",
|
|
" \"4305\": 2,\n",
|
|
" \"4306\": 4,\n",
|
|
" \"4307\": 8,\n",
|
|
" \"4308\": 4,\n",
|
|
" \"4309\": 1,\n",
|
|
" \"4310\": 1,\n",
|
|
" \"4311\": 4,\n",
|
|
" \"4312\": 3,\n",
|
|
" \"4313\": 2,\n",
|
|
" \"4314\": 1,\n",
|
|
" \"4315\": 2,\n",
|
|
" \"4316\": 2,\n",
|
|
" \"4317\": 2,\n",
|
|
" \"4318\": 2,\n",
|
|
" \"4319\": 3,\n",
|
|
" \"4320\": 3,\n",
|
|
" \"4321\": 4,\n",
|
|
" \"4322\": 3,\n",
|
|
" \"4323\": 9,\n",
|
|
" \"4324\": 7,\n",
|
|
" \"4325\": 1,\n",
|
|
" \"4326\": 2,\n",
|
|
" \"4327\": 2,\n",
|
|
" \"4328\": 5,\n",
|
|
" \"4329\": 2,\n",
|
|
" \"4330\": 4,\n",
|
|
" \"4331\": 5,\n",
|
|
" \"4332\": 6,\n",
|
|
" \"4333\": 8,\n",
|
|
" \"4334\": 5,\n",
|
|
" \"4335\": 6,\n",
|
|
" \"4336\": 1,\n",
|
|
" \"4337\": 1,\n",
|
|
" \"4338\": 1,\n",
|
|
" \"4339\": 1,\n",
|
|
" \"4340\": 1,\n",
|
|
" \"4341\": 1,\n",
|
|
" \"4342\": 3,\n",
|
|
" \"4343\": 1,\n",
|
|
" \"4344\": 1,\n",
|
|
" \"4345\": 2,\n",
|
|
" \"4346\": 2,\n",
|
|
" \"4347\": 3,\n",
|
|
" \"4348\": 2,\n",
|
|
" \"4349\": 2,\n",
|
|
" \"4350\": 4,\n",
|
|
" \"4351\": 8,\n",
|
|
" \"4352\": 4,\n",
|
|
" \"4353\": 1,\n",
|
|
" \"4354\": 1,\n",
|
|
" \"4355\": 4,\n",
|
|
" \"4356\": 3,\n",
|
|
" \"4357\": 2,\n",
|
|
" \"4358\": 1,\n",
|
|
" \"4359\": 2,\n",
|
|
" \"4360\": 2,\n",
|
|
" \"4361\": 2,\n",
|
|
" \"4362\": 2,\n",
|
|
" \"4363\": 3,\n",
|
|
" \"4364\": 3,\n",
|
|
" \"4365\": 4,\n",
|
|
" \"4366\": 3,\n",
|
|
" \"4367\": 9,\n",
|
|
" \"4368\": 7,\n",
|
|
" \"4369\": 1,\n",
|
|
" \"4370\": 2,\n",
|
|
" \"4371\": 2,\n",
|
|
" \"4372\": 5,\n",
|
|
" \"4373\": 2,\n",
|
|
" \"4374\": 4,\n",
|
|
" \"4375\": 5,\n",
|
|
" \"4376\": 6,\n",
|
|
" \"4377\": 8,\n",
|
|
" \"4378\": 5,\n",
|
|
" \"4379\": 6,\n",
|
|
" \"4380\": 10,\n",
|
|
" \"4381\": 10,\n",
|
|
" \"4382\": 10,\n",
|
|
" \"4383\": 10,\n",
|
|
" \"4384\": 1,\n",
|
|
" \"4385\": 1,\n",
|
|
" \"4386\": 3,\n",
|
|
" \"4387\": 1,\n",
|
|
" \"4388\": 1,\n",
|
|
" \"4389\": 2,\n",
|
|
" \"4390\": 2,\n",
|
|
" \"4391\": 3,\n",
|
|
" \"4392\": 2,\n",
|
|
" \"4393\": 2,\n",
|
|
" \"4394\": 4,\n",
|
|
" \"4395\": 8,\n",
|
|
" \"4396\": 4,\n",
|
|
" \"4397\": 1,\n",
|
|
" \"4398\": 1,\n",
|
|
" \"4399\": 4,\n",
|
|
" \"4400\": 3,\n",
|
|
" \"4401\": 2,\n",
|
|
" \"4402\": 1,\n",
|
|
" \"4403\": 2,\n",
|
|
" \"4404\": 2,\n",
|
|
" \"4405\": 2,\n",
|
|
" \"4406\": 2,\n",
|
|
" \"4407\": 3,\n",
|
|
" \"4408\": 3,\n",
|
|
" \"4409\": 4,\n",
|
|
" \"4410\": 3,\n",
|
|
" \"4411\": 9,\n",
|
|
" \"4412\": 7,\n",
|
|
" \"4413\": 1,\n",
|
|
" \"4414\": 2,\n",
|
|
" \"4415\": 2,\n",
|
|
" \"4416\": 5,\n",
|
|
" \"4417\": 2,\n",
|
|
" \"4418\": 4,\n",
|
|
" \"4419\": 5,\n",
|
|
" \"4420\": 6,\n",
|
|
" \"4421\": 5,\n",
|
|
" \"4422\": 2,\n",
|
|
" \"4423\": 3,\n",
|
|
" \"4424\": 1,\n",
|
|
" \"4425\": 1,\n",
|
|
" \"4426\": 1,\n",
|
|
" \"4427\": 1,\n",
|
|
" \"4428\": 1,\n",
|
|
" \"4429\": 1,\n",
|
|
" \"4430\": 3,\n",
|
|
" \"4431\": 1,\n",
|
|
" \"4432\": 1,\n",
|
|
" \"4433\": 2,\n",
|
|
" \"4434\": 2,\n",
|
|
" \"4435\": 3,\n",
|
|
" \"4436\": 2,\n",
|
|
" \"4437\": 2,\n",
|
|
" \"4438\": 4,\n",
|
|
" \"4439\": 8,\n",
|
|
" \"4440\": 4,\n",
|
|
" \"4441\": 1,\n",
|
|
" \"4442\": 1,\n",
|
|
" \"4443\": 4,\n",
|
|
" \"4444\": 3,\n",
|
|
" \"4445\": 2,\n",
|
|
" \"4446\": 1,\n",
|
|
" \"4447\": 2,\n",
|
|
" \"4448\": 2,\n",
|
|
" \"4449\": 2,\n",
|
|
" \"4450\": 2,\n",
|
|
" \"4451\": 3,\n",
|
|
" \"4452\": 3,\n",
|
|
" \"4453\": 4,\n",
|
|
" \"4454\": 3,\n",
|
|
" \"4455\": 9,\n",
|
|
" \"4456\": 7,\n",
|
|
" \"4457\": 1,\n",
|
|
" \"4458\": 2,\n",
|
|
" \"4459\": 2,\n",
|
|
" \"4460\": 5,\n",
|
|
" \"4461\": 2,\n",
|
|
" \"4462\": 4,\n",
|
|
" \"4463\": 5,\n",
|
|
" \"4464\": 6,\n",
|
|
" \"4465\": 8,\n",
|
|
" \"4466\": 5,\n",
|
|
" \"4467\": 6,\n",
|
|
" \"4468\": 1,\n",
|
|
" \"4469\": 1,\n",
|
|
" \"4470\": 1,\n",
|
|
" \"4471\": 1,\n",
|
|
" \"4472\": 1,\n",
|
|
" \"4473\": 1,\n",
|
|
" \"4474\": 3,\n",
|
|
" \"4475\": 1,\n",
|
|
" \"4476\": 1,\n",
|
|
" \"4477\": 2,\n",
|
|
" \"4478\": 2,\n",
|
|
" \"4479\": 3,\n",
|
|
" \"4480\": 2,\n",
|
|
" \"4481\": 2,\n",
|
|
" \"4482\": 4,\n",
|
|
" \"4483\": 8,\n",
|
|
" \"4484\": 4,\n",
|
|
" \"4485\": 1,\n",
|
|
" \"4486\": 1,\n",
|
|
" \"4487\": 4,\n",
|
|
" \"4488\": 3,\n",
|
|
" \"4489\": 2,\n",
|
|
" \"4490\": 1,\n",
|
|
" \"4491\": 2,\n",
|
|
" \"4492\": 2,\n",
|
|
" \"4493\": 2,\n",
|
|
" \"4494\": 2,\n",
|
|
" \"4495\": 3,\n",
|
|
" \"4496\": 3,\n",
|
|
" \"4497\": 4,\n",
|
|
" \"4498\": 3,\n",
|
|
" \"4499\": 9,\n",
|
|
" \"4500\": 7,\n",
|
|
" \"4501\": 1,\n",
|
|
" \"4502\": 2,\n",
|
|
" \"4503\": 2,\n",
|
|
" \"4504\": 5,\n",
|
|
" \"4505\": 2,\n",
|
|
" \"4506\": 4,\n",
|
|
" \"4507\": 5,\n",
|
|
" \"4508\": 6,\n",
|
|
" \"4509\": 8,\n",
|
|
" \"4510\": 5,\n",
|
|
" \"4511\": 6,\n",
|
|
" \"4512\": 10,\n",
|
|
" \"4513\": 10,\n",
|
|
" \"4514\": 10,\n",
|
|
" \"4515\": 10,\n",
|
|
" \"4516\": 1,\n",
|
|
" \"4517\": 1,\n",
|
|
" \"4518\": 3,\n",
|
|
" \"4519\": 1,\n",
|
|
" \"4520\": 1,\n",
|
|
" \"4521\": 2,\n",
|
|
" \"4522\": 2,\n",
|
|
" \"4523\": 3,\n",
|
|
" \"4524\": 2,\n",
|
|
" \"4525\": 2,\n",
|
|
" \"4526\": 4,\n",
|
|
" \"4527\": 8,\n",
|
|
" \"4528\": 4,\n",
|
|
" \"4529\": 1,\n",
|
|
" \"4530\": 1,\n",
|
|
" \"4531\": 4,\n",
|
|
" \"4532\": 3,\n",
|
|
" \"4533\": 2,\n",
|
|
" \"4534\": 1,\n",
|
|
" \"4535\": 2,\n",
|
|
" \"4536\": 2,\n",
|
|
" \"4537\": 2,\n",
|
|
" \"4538\": 2,\n",
|
|
" \"4539\": 3,\n",
|
|
" \"4540\": 3,\n",
|
|
" \"4541\": 4,\n",
|
|
" \"4542\": 3,\n",
|
|
" \"4543\": 9,\n",
|
|
" \"4544\": 7,\n",
|
|
" \"4545\": 1,\n",
|
|
" \"4546\": 2,\n",
|
|
" \"4547\": 2,\n",
|
|
" \"4548\": 5,\n",
|
|
" \"4549\": 2,\n",
|
|
" \"4550\": 4,\n",
|
|
" \"4551\": 5,\n",
|
|
" \"4552\": 6,\n",
|
|
" \"4553\": 5,\n",
|
|
" \"4554\": 2,\n",
|
|
" \"4555\": 3,\n",
|
|
" \"4556\": 1,\n",
|
|
" \"4557\": 1,\n",
|
|
" \"4558\": 1,\n",
|
|
" \"4559\": 1,\n",
|
|
" \"4560\": 1,\n",
|
|
" \"4561\": 1,\n",
|
|
" \"4562\": 3,\n",
|
|
" \"4563\": 1,\n",
|
|
" \"4564\": 1,\n",
|
|
" \"4565\": 2,\n",
|
|
" \"4566\": 2,\n",
|
|
" \"4567\": 3,\n",
|
|
" \"4568\": 2,\n",
|
|
" \"4569\": 2,\n",
|
|
" \"4570\": 4,\n",
|
|
" \"4571\": 8,\n",
|
|
" \"4572\": 4,\n",
|
|
" \"4573\": 1,\n",
|
|
" \"4574\": 1,\n",
|
|
" \"4575\": 4,\n",
|
|
" \"4576\": 3,\n",
|
|
" \"4577\": 2,\n",
|
|
" \"4578\": 1,\n",
|
|
" \"4579\": 2,\n",
|
|
" \"4580\": 2,\n",
|
|
" \"4581\": 2,\n",
|
|
" \"4582\": 2,\n",
|
|
" \"4583\": 3,\n",
|
|
" \"4584\": 3,\n",
|
|
" \"4585\": 4,\n",
|
|
" \"4586\": 3,\n",
|
|
" \"4587\": 9,\n",
|
|
" \"4588\": 7,\n",
|
|
" \"4589\": 1,\n",
|
|
" \"4590\": 2,\n",
|
|
" \"4591\": 2,\n",
|
|
" \"4592\": 5,\n",
|
|
" \"4593\": 2,\n",
|
|
" \"4594\": 4,\n",
|
|
" \"4595\": 5,\n",
|
|
" \"4596\": 6,\n",
|
|
" \"4597\": 8,\n",
|
|
" \"4598\": 5,\n",
|
|
" \"4599\": 6,\n",
|
|
" \"4600\": 1,\n",
|
|
" \"4601\": 1,\n",
|
|
" \"4602\": 1,\n",
|
|
" \"4603\": 1,\n",
|
|
" \"4604\": 1,\n",
|
|
" \"4605\": 1,\n",
|
|
" \"4606\": 3,\n",
|
|
" \"4607\": 1,\n",
|
|
" \"4608\": 1,\n",
|
|
" \"4609\": 2,\n",
|
|
" \"4610\": 2,\n",
|
|
" \"4611\": 3,\n",
|
|
" \"4612\": 2,\n",
|
|
" \"4613\": 2,\n",
|
|
" \"4614\": 4,\n",
|
|
" \"4615\": 8,\n",
|
|
" \"4616\": 4,\n",
|
|
" \"4617\": 1,\n",
|
|
" \"4618\": 1,\n",
|
|
" \"4619\": 4,\n",
|
|
" \"4620\": 3,\n",
|
|
" \"4621\": 2,\n",
|
|
" \"4622\": 1,\n",
|
|
" \"4623\": 2,\n",
|
|
" \"4624\": 2,\n",
|
|
" \"4625\": 2,\n",
|
|
" \"4626\": 2,\n",
|
|
" \"4627\": 3,\n",
|
|
" \"4628\": 3,\n",
|
|
" \"4629\": 4,\n",
|
|
" \"4630\": 3,\n",
|
|
" \"4631\": 9,\n",
|
|
" \"4632\": 7,\n",
|
|
" \"4633\": 1,\n",
|
|
" \"4634\": 2,\n",
|
|
" \"4635\": 2,\n",
|
|
" \"4636\": 5,\n",
|
|
" \"4637\": 2,\n",
|
|
" \"4638\": 4,\n",
|
|
" \"4639\": 5,\n",
|
|
" \"4640\": 6,\n",
|
|
" \"4641\": 8,\n",
|
|
" \"4642\": 5,\n",
|
|
" \"4643\": 6,\n",
|
|
" \"4644\": 10,\n",
|
|
" \"4645\": 10,\n",
|
|
" \"4646\": 10,\n",
|
|
" \"4647\": 10,\n",
|
|
" \"4648\": 1,\n",
|
|
" \"4649\": 1,\n",
|
|
" \"4650\": 3,\n",
|
|
" \"4651\": 1,\n",
|
|
" \"4652\": 1,\n",
|
|
" \"4653\": 2,\n",
|
|
" \"4654\": 2,\n",
|
|
" \"4655\": 3,\n",
|
|
" \"4656\": 2,\n",
|
|
" \"4657\": 2,\n",
|
|
" \"4658\": 4,\n",
|
|
" \"4659\": 8,\n",
|
|
" \"4660\": 4,\n",
|
|
" \"4661\": 1,\n",
|
|
" \"4662\": 1,\n",
|
|
" \"4663\": 4,\n",
|
|
" \"4664\": 3,\n",
|
|
" \"4665\": 2,\n",
|
|
" \"4666\": 1,\n",
|
|
" \"4667\": 2,\n",
|
|
" \"4668\": 2,\n",
|
|
" \"4669\": 2,\n",
|
|
" \"4670\": 2,\n",
|
|
" \"4671\": 3,\n",
|
|
" \"4672\": 3,\n",
|
|
" \"4673\": 4,\n",
|
|
" \"4674\": 3,\n",
|
|
" \"4675\": 9,\n",
|
|
" \"4676\": 7,\n",
|
|
" \"4677\": 1,\n",
|
|
" \"4678\": 2,\n",
|
|
" \"4679\": 2,\n",
|
|
" \"4680\": 5,\n",
|
|
" \"4681\": 2,\n",
|
|
" \"4682\": 4,\n",
|
|
" \"4683\": 5,\n",
|
|
" \"4684\": 6,\n",
|
|
" \"4685\": 5,\n",
|
|
" \"4686\": 2,\n",
|
|
" \"4687\": 3,\n",
|
|
" \"4688\": 1,\n",
|
|
" \"4689\": 1,\n",
|
|
" \"4690\": 1,\n",
|
|
" \"4691\": 1,\n",
|
|
" \"4692\": 1,\n",
|
|
" \"4693\": 1,\n",
|
|
" \"4694\": 3,\n",
|
|
" \"4695\": 1,\n",
|
|
" \"4696\": 1,\n",
|
|
" \"4697\": 2,\n",
|
|
" \"4698\": 2,\n",
|
|
" \"4699\": 3,\n",
|
|
" \"4700\": 2,\n",
|
|
" \"4701\": 2,\n",
|
|
" \"4702\": 4,\n",
|
|
" \"4703\": 8,\n",
|
|
" \"4704\": 4,\n",
|
|
" \"4705\": 1,\n",
|
|
" \"4706\": 1,\n",
|
|
" \"4707\": 4,\n",
|
|
" \"4708\": 3,\n",
|
|
" \"4709\": 2,\n",
|
|
" \"4710\": 1,\n",
|
|
" \"4711\": 2,\n",
|
|
" \"4712\": 2,\n",
|
|
" \"4713\": 2,\n",
|
|
" \"4714\": 2,\n",
|
|
" \"4715\": 3,\n",
|
|
" \"4716\": 3,\n",
|
|
" \"4717\": 4,\n",
|
|
" \"4718\": 3,\n",
|
|
" \"4719\": 9,\n",
|
|
" \"4720\": 7,\n",
|
|
" \"4721\": 1,\n",
|
|
" \"4722\": 2,\n",
|
|
" \"4723\": 2,\n",
|
|
" \"4724\": 5,\n",
|
|
" \"4725\": 2,\n",
|
|
" \"4726\": 4,\n",
|
|
" \"4727\": 5,\n",
|
|
" \"4728\": 6,\n",
|
|
" \"4729\": 8,\n",
|
|
" \"4730\": 5,\n",
|
|
" \"4731\": 6,\n",
|
|
" \"4732\": 1,\n",
|
|
" \"4733\": 1,\n",
|
|
" \"4734\": 1,\n",
|
|
" \"4735\": 1,\n",
|
|
" \"4736\": 1,\n",
|
|
" \"4737\": 1,\n",
|
|
" \"4738\": 3,\n",
|
|
" \"4739\": 1,\n",
|
|
" \"4740\": 1,\n",
|
|
" \"4741\": 2,\n",
|
|
" \"4742\": 2,\n",
|
|
" \"4743\": 3,\n",
|
|
" \"4744\": 2,\n",
|
|
" \"4745\": 2,\n",
|
|
" \"4746\": 4,\n",
|
|
" \"4747\": 8,\n",
|
|
" \"4748\": 4,\n",
|
|
" \"4749\": 1,\n",
|
|
" \"4750\": 1,\n",
|
|
" \"4751\": 4,\n",
|
|
" \"4752\": 3,\n",
|
|
" \"4753\": 2,\n",
|
|
" \"4754\": 1,\n",
|
|
" \"4755\": 2,\n",
|
|
" \"4756\": 2,\n",
|
|
" \"4757\": 2,\n",
|
|
" \"4758\": 2,\n",
|
|
" \"4759\": 3,\n",
|
|
" \"4760\": 3,\n",
|
|
" \"4761\": 4,\n",
|
|
" \"4762\": 3,\n",
|
|
" \"4763\": 9,\n",
|
|
" \"4764\": 7,\n",
|
|
" \"4765\": 1,\n",
|
|
" \"4766\": 2,\n",
|
|
" \"4767\": 2,\n",
|
|
" \"4768\": 5,\n",
|
|
" \"4769\": 2,\n",
|
|
" \"4770\": 4,\n",
|
|
" \"4771\": 5,\n",
|
|
" \"4772\": 6,\n",
|
|
" \"4773\": 8,\n",
|
|
" \"4774\": 5,\n",
|
|
" \"4775\": 6,\n",
|
|
" \"4776\": 10,\n",
|
|
" \"4777\": 10,\n",
|
|
" \"4778\": 10,\n",
|
|
" \"4779\": 10,\n",
|
|
" \"4780\": 1,\n",
|
|
" \"4781\": 1,\n",
|
|
" \"4782\": 3,\n",
|
|
" \"4783\": 1,\n",
|
|
" \"4784\": 1,\n",
|
|
" \"4785\": 2,\n",
|
|
" \"4786\": 2,\n",
|
|
" \"4787\": 3,\n",
|
|
" \"4788\": 2,\n",
|
|
" \"4789\": 2,\n",
|
|
" \"4790\": 4,\n",
|
|
" \"4791\": 8,\n",
|
|
" \"4792\": 4,\n",
|
|
" \"4793\": 1,\n",
|
|
" \"4794\": 1,\n",
|
|
" \"4795\": 4,\n",
|
|
" \"4796\": 3,\n",
|
|
" \"4797\": 2,\n",
|
|
" \"4798\": 1,\n",
|
|
" \"4799\": 2,\n",
|
|
" \"4800\": 2,\n",
|
|
" \"4801\": 2,\n",
|
|
" \"4802\": 2,\n",
|
|
" \"4803\": 3,\n",
|
|
" \"4804\": 3,\n",
|
|
" \"4805\": 4,\n",
|
|
" \"4806\": 3,\n",
|
|
" \"4807\": 9,\n",
|
|
" \"4808\": 7,\n",
|
|
" \"4809\": 1,\n",
|
|
" \"4810\": 2,\n",
|
|
" \"4811\": 2,\n",
|
|
" \"4812\": 5,\n",
|
|
" \"4813\": 2,\n",
|
|
" \"4814\": 4,\n",
|
|
" \"4815\": 5,\n",
|
|
" \"4816\": 6,\n",
|
|
" \"4817\": 5,\n",
|
|
" \"4818\": 2,\n",
|
|
" \"4819\": 3,\n",
|
|
" \"4820\": 1,\n",
|
|
" \"4821\": 1,\n",
|
|
" \"4822\": 1,\n",
|
|
" \"4823\": 1,\n",
|
|
" \"4824\": 1,\n",
|
|
" \"4825\": 1,\n",
|
|
" \"4826\": 3,\n",
|
|
" \"4827\": 1,\n",
|
|
" \"4828\": 1,\n",
|
|
" \"4829\": 2,\n",
|
|
" \"4830\": 2,\n",
|
|
" \"4831\": 3,\n",
|
|
" \"4832\": 2,\n",
|
|
" \"4833\": 2,\n",
|
|
" \"4834\": 4,\n",
|
|
" \"4835\": 8,\n",
|
|
" \"4836\": 4,\n",
|
|
" \"4837\": 1,\n",
|
|
" \"4838\": 1,\n",
|
|
" \"4839\": 4,\n",
|
|
" \"4840\": 3,\n",
|
|
" \"4841\": 2,\n",
|
|
" \"4842\": 1,\n",
|
|
" \"4843\": 2,\n",
|
|
" \"4844\": 2,\n",
|
|
" \"4845\": 2,\n",
|
|
" \"4846\": 2,\n",
|
|
" \"4847\": 3,\n",
|
|
" \"4848\": 3,\n",
|
|
" \"4849\": 4,\n",
|
|
" \"4850\": 3,\n",
|
|
" \"4851\": 9,\n",
|
|
" \"4852\": 7,\n",
|
|
" \"4853\": 1,\n",
|
|
" \"4854\": 2,\n",
|
|
" \"4855\": 2,\n",
|
|
" \"4856\": 5,\n",
|
|
" \"4857\": 2,\n",
|
|
" \"4858\": 4,\n",
|
|
" \"4859\": 5,\n",
|
|
" \"4860\": 6,\n",
|
|
" \"4861\": 8,\n",
|
|
" \"4862\": 5,\n",
|
|
" \"4863\": 6,\n",
|
|
" \"4864\": 1,\n",
|
|
" \"4865\": 1,\n",
|
|
" \"4866\": 1,\n",
|
|
" \"4867\": 1,\n",
|
|
" \"4868\": 1,\n",
|
|
" \"4869\": 1,\n",
|
|
" \"4870\": 3,\n",
|
|
" \"4871\": 1,\n",
|
|
" \"4872\": 1,\n",
|
|
" \"4873\": 2,\n",
|
|
" \"4874\": 2,\n",
|
|
" \"4875\": 3,\n",
|
|
" \"4876\": 2,\n",
|
|
" \"4877\": 2,\n",
|
|
" \"4878\": 4,\n",
|
|
" \"4879\": 8,\n",
|
|
" \"4880\": 4,\n",
|
|
" \"4881\": 1,\n",
|
|
" \"4882\": 1,\n",
|
|
" \"4883\": 4,\n",
|
|
" \"4884\": 3,\n",
|
|
" \"4885\": 2,\n",
|
|
" \"4886\": 1,\n",
|
|
" \"4887\": 2,\n",
|
|
" \"4888\": 2,\n",
|
|
" \"4889\": 2,\n",
|
|
" \"4890\": 2,\n",
|
|
" \"4891\": 3,\n",
|
|
" \"4892\": 3,\n",
|
|
" \"4893\": 4,\n",
|
|
" \"4894\": 3,\n",
|
|
" \"4895\": 9,\n",
|
|
" \"4896\": 7,\n",
|
|
" \"4897\": 1,\n",
|
|
" \"4898\": 2,\n",
|
|
" \"4899\": 2,\n",
|
|
" \"4900\": 5,\n",
|
|
" \"4901\": 2,\n",
|
|
" \"4902\": 4,\n",
|
|
" \"4903\": 5,\n",
|
|
" \"4904\": 6,\n",
|
|
" \"4905\": 8,\n",
|
|
" \"4906\": 5,\n",
|
|
" \"4907\": 6,\n",
|
|
" \"4908\": 10,\n",
|
|
" \"4909\": 10,\n",
|
|
" \"4910\": 10,\n",
|
|
" \"4911\": 10,\n",
|
|
" \"4912\": 1,\n",
|
|
" \"4913\": 1,\n",
|
|
" \"4914\": 3,\n",
|
|
" \"4915\": 1,\n",
|
|
" \"4916\": 1,\n",
|
|
" \"4917\": 2,\n",
|
|
" \"4918\": 2,\n",
|
|
" \"4919\": 3,\n",
|
|
" \"4920\": 2,\n",
|
|
" \"4921\": 2,\n",
|
|
" \"4922\": 4,\n",
|
|
" \"4923\": 8,\n",
|
|
" \"4924\": 4,\n",
|
|
" \"4925\": 1,\n",
|
|
" \"4926\": 1,\n",
|
|
" \"4927\": 4,\n",
|
|
" \"4928\": 3,\n",
|
|
" \"4929\": 2,\n",
|
|
" \"4930\": 1,\n",
|
|
" \"4931\": 2,\n",
|
|
" \"4932\": 2,\n",
|
|
" \"4933\": 2,\n",
|
|
" \"4934\": 2,\n",
|
|
" \"4935\": 3,\n",
|
|
" \"4936\": 3,\n",
|
|
" \"4937\": 4,\n",
|
|
" \"4938\": 3,\n",
|
|
" \"4939\": 9,\n",
|
|
" \"4940\": 7,\n",
|
|
" \"4941\": 1,\n",
|
|
" \"4942\": 2,\n",
|
|
" \"4943\": 2,\n",
|
|
" \"4944\": 5,\n",
|
|
" \"4945\": 2,\n",
|
|
" \"4946\": 4,\n",
|
|
" \"4947\": 5,\n",
|
|
" \"4948\": 6,\n",
|
|
" \"4949\": 5,\n",
|
|
" \"4950\": 2,\n",
|
|
" \"4951\": 3,\n",
|
|
" \"4952\": 1,\n",
|
|
" \"4953\": 1,\n",
|
|
" \"4954\": 1,\n",
|
|
" \"4955\": 1,\n",
|
|
" \"4956\": 1,\n",
|
|
" \"4957\": 1,\n",
|
|
" \"4958\": 3,\n",
|
|
" \"4959\": 1,\n",
|
|
" \"4960\": 1,\n",
|
|
" \"4961\": 2,\n",
|
|
" \"4962\": 2,\n",
|
|
" \"4963\": 3,\n",
|
|
" \"4964\": 2,\n",
|
|
" \"4965\": 2,\n",
|
|
" \"4966\": 4,\n",
|
|
" \"4967\": 8,\n",
|
|
" \"4968\": 4,\n",
|
|
" \"4969\": 1,\n",
|
|
" \"4970\": 1,\n",
|
|
" \"4971\": 4,\n",
|
|
" \"4972\": 3,\n",
|
|
" \"4973\": 2,\n",
|
|
" \"4974\": 1,\n",
|
|
" \"4975\": 2,\n",
|
|
" \"4976\": 2,\n",
|
|
" \"4977\": 2,\n",
|
|
" \"4978\": 2,\n",
|
|
" \"4979\": 3,\n",
|
|
" \"4980\": 3,\n",
|
|
" \"4981\": 4,\n",
|
|
" \"4982\": 3,\n",
|
|
" \"4983\": 9,\n",
|
|
" \"4984\": 7,\n",
|
|
" \"4985\": 1,\n",
|
|
" \"4986\": 2,\n",
|
|
" \"4987\": 2,\n",
|
|
" \"4988\": 5,\n",
|
|
" \"4989\": 2,\n",
|
|
" \"4990\": 4,\n",
|
|
" \"4991\": 5,\n",
|
|
" \"4992\": 6,\n",
|
|
" \"4993\": 8,\n",
|
|
" \"4994\": 5,\n",
|
|
" \"4995\": 6,\n",
|
|
" \"4996\": 1,\n",
|
|
" \"4997\": 1,\n",
|
|
" \"4998\": 1,\n",
|
|
" \"4999\": 1,\n",
|
|
" \"5000\": 1,\n",
|
|
" \"5001\": 1,\n",
|
|
" \"5002\": 3,\n",
|
|
" \"5003\": 1,\n",
|
|
" \"5004\": 1,\n",
|
|
" \"5005\": 2,\n",
|
|
" \"5006\": 2,\n",
|
|
" \"5007\": 3,\n",
|
|
" \"5008\": 2,\n",
|
|
" \"5009\": 2,\n",
|
|
" \"5010\": 4,\n",
|
|
" \"5011\": 8,\n",
|
|
" \"5012\": 4,\n",
|
|
" \"5013\": 1,\n",
|
|
" \"5014\": 1,\n",
|
|
" \"5015\": 4,\n",
|
|
" \"5016\": 3,\n",
|
|
" \"5017\": 2,\n",
|
|
" \"5018\": 1,\n",
|
|
" \"5019\": 2,\n",
|
|
" \"5020\": 2,\n",
|
|
" \"5021\": 2,\n",
|
|
" \"5022\": 2,\n",
|
|
" \"5023\": 3,\n",
|
|
" \"5024\": 3,\n",
|
|
" \"5025\": 4,\n",
|
|
" \"5026\": 3,\n",
|
|
" \"5027\": 9,\n",
|
|
" \"5028\": 7,\n",
|
|
" \"5029\": 1,\n",
|
|
" \"5030\": 2,\n",
|
|
" \"5031\": 2,\n",
|
|
" \"5032\": 5,\n",
|
|
" \"5033\": 2,\n",
|
|
" \"5034\": 4,\n",
|
|
" \"5035\": 5,\n",
|
|
" \"5036\": 6,\n",
|
|
" \"5037\": 8,\n",
|
|
" \"5038\": 5,\n",
|
|
" \"5039\": 6,\n",
|
|
" \"5040\": 10,\n",
|
|
" \"5041\": 10,\n",
|
|
" \"5042\": 10,\n",
|
|
" \"5043\": 10,\n",
|
|
" \"5044\": 1,\n",
|
|
" \"5045\": 1,\n",
|
|
" \"5046\": 3,\n",
|
|
" \"5047\": 1,\n",
|
|
" \"5048\": 1,\n",
|
|
" \"5049\": 2,\n",
|
|
" \"5050\": 2,\n",
|
|
" \"5051\": 3,\n",
|
|
" \"5052\": 2,\n",
|
|
" \"5053\": 2,\n",
|
|
" \"5054\": 4,\n",
|
|
" \"5055\": 8,\n",
|
|
" \"5056\": 4,\n",
|
|
" \"5057\": 1,\n",
|
|
" \"5058\": 1,\n",
|
|
" \"5059\": 4,\n",
|
|
" \"5060\": 3,\n",
|
|
" \"5061\": 2,\n",
|
|
" \"5062\": 1,\n",
|
|
" \"5063\": 2,\n",
|
|
" \"5064\": 2,\n",
|
|
" \"5065\": 2,\n",
|
|
" \"5066\": 2,\n",
|
|
" \"5067\": 3,\n",
|
|
" \"5068\": 3,\n",
|
|
" \"5069\": 4,\n",
|
|
" \"5070\": 3,\n",
|
|
" \"5071\": 9,\n",
|
|
" \"5072\": 7,\n",
|
|
" \"5073\": 1,\n",
|
|
" \"5074\": 2,\n",
|
|
" \"5075\": 2,\n",
|
|
" \"5076\": 5,\n",
|
|
" \"5077\": 2,\n",
|
|
" \"5078\": 4,\n",
|
|
" \"5079\": 5,\n",
|
|
" \"5080\": 6,\n",
|
|
" \"5081\": 5,\n",
|
|
" \"5082\": 2,\n",
|
|
" \"5083\": 3,\n",
|
|
" \"5084\": 1,\n",
|
|
" \"5085\": 1,\n",
|
|
" \"5086\": 1,\n",
|
|
" \"5087\": 1,\n",
|
|
" \"5088\": 1,\n",
|
|
" \"5089\": 1,\n",
|
|
" \"5090\": 3,\n",
|
|
" \"5091\": 1,\n",
|
|
" \"5092\": 1,\n",
|
|
" \"5093\": 2,\n",
|
|
" \"5094\": 2,\n",
|
|
" \"5095\": 3,\n",
|
|
" \"5096\": 2,\n",
|
|
" \"5097\": 2,\n",
|
|
" \"5098\": 4,\n",
|
|
" \"5099\": 8,\n",
|
|
" \"5100\": 4,\n",
|
|
" \"5101\": 1,\n",
|
|
" \"5102\": 1,\n",
|
|
" \"5103\": 4,\n",
|
|
" \"5104\": 3,\n",
|
|
" \"5105\": 2,\n",
|
|
" \"5106\": 1,\n",
|
|
" \"5107\": 2,\n",
|
|
" \"5108\": 2,\n",
|
|
" \"5109\": 2,\n",
|
|
" \"5110\": 2,\n",
|
|
" \"5111\": 3,\n",
|
|
" \"5112\": 3,\n",
|
|
" \"5113\": 4,\n",
|
|
" \"5114\": 3,\n",
|
|
" \"5115\": 9,\n",
|
|
" \"5116\": 7,\n",
|
|
" \"5117\": 1,\n",
|
|
" \"5118\": 2,\n",
|
|
" \"5119\": 2,\n",
|
|
" \"5120\": 5,\n",
|
|
" \"5121\": 2,\n",
|
|
" \"5122\": 4,\n",
|
|
" \"5123\": 5,\n",
|
|
" \"5124\": 6,\n",
|
|
" \"5125\": 8,\n",
|
|
" \"5126\": 5,\n",
|
|
" \"5127\": 5,\n",
|
|
" \"5128\": 1,\n",
|
|
" \"5129\": 1,\n",
|
|
" \"5130\": 1,\n",
|
|
" \"5131\": 1,\n",
|
|
" \"5132\": 1,\n",
|
|
" \"5133\": 1,\n",
|
|
" \"5134\": 3,\n",
|
|
" \"5135\": 2,\n",
|
|
" \"5136\": 1,\n",
|
|
" \"5137\": 2,\n",
|
|
" \"5138\": 2,\n",
|
|
" \"5139\": 3,\n",
|
|
" \"5140\": 2,\n",
|
|
" \"5141\": 2,\n",
|
|
" \"5142\": 4,\n",
|
|
" \"5143\": 8,\n",
|
|
" \"5144\": 5,\n",
|
|
" \"5145\": 1,\n",
|
|
" \"5146\": 1,\n",
|
|
" \"5147\": 3,\n",
|
|
" \"5148\": 4,\n",
|
|
" \"5149\": 1,\n",
|
|
" \"5150\": 2,\n",
|
|
" \"5151\": 1,\n",
|
|
" \"5152\": 2,\n",
|
|
" \"5153\": 2,\n",
|
|
" \"5154\": 2,\n",
|
|
" \"5155\": 2,\n",
|
|
" \"5156\": 3,\n",
|
|
" \"5157\": 3,\n",
|
|
" \"5158\": 4,\n",
|
|
" \"5159\": 3,\n",
|
|
" \"5160\": 9,\n",
|
|
" \"5161\": 7,\n",
|
|
" \"5162\": 6,\n",
|
|
" \"5163\": 6,\n",
|
|
" \"5164\": 2,\n",
|
|
" \"5165\": 5,\n",
|
|
" \"5166\": 2,\n",
|
|
" \"5167\": 4,\n",
|
|
" \"5168\": 7,\n",
|
|
" \"5169\": 7,\n",
|
|
" \"5170\": 7,\n",
|
|
" \"5171\": 6,\n",
|
|
" \"5172\": 4,\n",
|
|
" \"5173\": 10,\n",
|
|
" \"5174\": 10,\n",
|
|
" \"5175\": 13,\n",
|
|
" \"5176\": 12,\n",
|
|
" \"5177\": 2,\n",
|
|
" \"5178\": 242,\n",
|
|
" \"5179\": 242,\n",
|
|
" \"5180\": 241,\n",
|
|
" \"5181\": 146,\n",
|
|
" \"5182\": 50,\n",
|
|
"}"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 277,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"dist_data = {}\n",
|
|
"for i in range(0, 520):\n",
|
|
" dist_data[i] = 0"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 278,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"x_data = []\n",
|
|
"y_data = []\n",
|
|
"for x, y in raw_data.items():\n",
|
|
" if int(x) >= 50:\n",
|
|
" dist_data[int(x) // 10] += y\n",
|
|
" else:\n",
|
|
" dist_data[int(x)] += y\n",
|
|
"\n",
|
|
"\n",
|
|
"for x, y in dist_data.items():\n",
|
|
" x_data.append(x)\n",
|
|
" y_data.append(y)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 279,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Text(100, 800, 'Operators without dependency')"
|
|
]
|
|
},
|
|
"execution_count": 279,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"ax.plot(x_data, y_data, color=colors[1])\n",
|
|
"\n",
|
|
"ax.set_ylabel(\"Count\")\n",
|
|
"ax.set_xlabel(\"Distance\")\n",
|
|
"\n",
|
|
"ax.set_ylim(0, 5000)\n",
|
|
"ax.set_yticks([0, 2000, 4000])\n",
|
|
"ax.set_yticklabels([\"0\", \"2000\", \"4000\"], rotation=90, ha=\"center\", va=\"center\")\n",
|
|
"\n",
|
|
"ax.fill_between(x_data[:20], y_data[:20], 0, alpha=0.3, color=colors[1])\n",
|
|
"ax.fill_between(x_data[20:], y_data[20:], 0, alpha=0.3, color=colors[2])\n",
|
|
"\n",
|
|
"ax.annotate(\n",
|
|
" \"Operators with complex dependency\",\n",
|
|
" xy=(5, 2500),\n",
|
|
" xytext=(40, 3000),\n",
|
|
" color=colors[2],\n",
|
|
" arrowprops=dict(facecolor=colors[2], edgecolor=colors[2], linewidth=1),\n",
|
|
")\n",
|
|
"\n",
|
|
"ax.annotate(\n",
|
|
" \"Operators without dependency\",\n",
|
|
" xy=(380, 100),\n",
|
|
" xytext=(100, 800),\n",
|
|
" color=colors[2],\n",
|
|
" arrowprops=dict(facecolor=colors[2], edgecolor=colors[2], linewidth=1),\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 280,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 2100x646.154 with 1 Axes>"
|
|
]
|
|
},
|
|
"execution_count": 280,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig.savefig(\"op_distribution.pdf\", bbox_inches=\"tight\", dpi=1000)\n",
|
|
"fig"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": ".venv",
|
|
"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": "3.12.9"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|