{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--- This is a regression problem ---\n",
      "\n",
      "1. Loading dataset from file...\n",
      "\n",
      "2. Calculating gram matrices. This could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8016703128814697 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1e-10} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8038928508758545 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1e-09} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb245da0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8428130149841309 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1e-08} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21368cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8060216903686523 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1e-07} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb213277b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8030860424041748 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1e-06} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb213a4908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8137733936309814 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1e-05} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb212da7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7620131969451904 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 0.0001} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21329be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8332343101501465 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 0.001} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7803995609283447 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 0.01} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21348f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7787373065948486 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 0.1} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21304400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7911996841430664 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb212eaa20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.778780221939087 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 10.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb213332b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8241212368011475 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 100.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2127e080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7918579578399658 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211de7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8034930229187012 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 10000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2135c080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.83528733253479 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 100000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2123e198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8089466094970703 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21187c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8145177364349365 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 10000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2116fa90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7873256206512451 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 100000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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ACEkGCzN73MyumtnLpdvOmtmPzOxXxf9nitvNzL5pZpfN7CUz+9AyGw/g+ER6Fk9IunvutkckPe/ud0p6vvhdku6RdGfx75KkR4+mmQBWLRks3P3Hkv40d/N9kp4sfn5S0mdKt3/HJ34i6bSZ3XZUjQWwOm3HLM67++vFz3+QdL74+XZJvy897rXiNgDXuM4DnO7ukhpny5jZJTN7wcxeGIze6doMAEvWNli8MT29KP6/Wtx+RdL7So97b3HbAnd/zN0vuvvFzfxEy2YAOC5t072flfSgpK8V/3+/dPvDZvaUpI9KerN0ulLPXfb2u1JepLTmmbL+aCbF2/NsfznD+VTuqtRuzw5SiSuXN0wsQ1iX1l2XDj3/HG3TsaPbtU0nT23XdEnBBQ1SuJscg+dqvbzg/j5S21ugg1yRcl6Vit1EZPu8eN5yavm7e8G5AdN9VKSlW4OM+2SwMLPvSbpL0i1m9pqkL2sSJJ42sy9I+q2k+4uHPyfpXkmXJb0j6fPxpgBYZ8lg4e6fq7nrkxWPdUkPdW0UgPVDBieAEIIFgBCCBYAQggWAEIIFgBCCBYAQggWAEIIFgJC1qe4tSconscs3F5s1X+07pZx+XVepu426quBH+RwRy64efhyaVBJvVDW8rUD18FSF8GWZpnlHKoHXqaoGbg3mgK5HsMgy+c1/IxtMXggb7Gl4/oQ8P/gC5v2xsr3Jgb1zcvZTVvWhS5Xs758+/Mtd90GOzp3on2n34Y4GgWUtBTA813HHTcr1N5zrceLWvzZszKw8P/yLPhy2+zrccesfW2031bN0AKqaB/Lhs79r9Dz98eLxvZTHJwNxGgIghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASBkPepZSBpv95QPDmopeG4ab5brWah039y2FQVdUmuZpgqvVEz9lxSvZ9F6LdJokZe9JRXbaVKPokKT4jDJtUfnpOpRpGz1Fou/lLWtZxGpR3GYmzf6ycdU1bPYqChmc5iqehZN0LMAEEKwABBCsAAQQrAAEEKwABBCsAAQQrAAELIeeRbuyt/alfeK2JVlyvvjmdyKcc/21xGZXxOkKqdiXFpzpCqnIpUvUXd/Xf7E/HO0XtcjmD/ROo8jtV3D3IeF/TfZ3hrkdOTeOg9iKrX9dCGfQ5tRketRlQPRRGT7jXySU1HO6Xh7b6vR82xVfCizBu8BPQsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAIQQLACHrkZQ1lU1i13h7sVnzxXBSyklSVcVx2qormtOxrkjzdiy7uM5xaFBop0lRnbYixXVSBXSWZZqMFSmUU6eqWI6JpCwAR4xgASCEYAEghGABIGQtBjg9M412tpXtTmbFZbt7Gr5nW54dDGhmA5cVk+b6O7aw/bx8ePjAzWAn0aaagcxode/hmXYDch4c9LPBcqp7b597t9P2kZmbU8NhosT6nDtu/WPT5sxIVeFuO3v0Y7f8ptV2U1uWnqL89mhxhuknd15p9Dy7vnh8T2XxAVN6FgBCCBYAQggWAEIIFgBCksHCzB43s6tm9nLptq+Y2RUze7H4d2/pvi+Z2WUz+6WZfXpZDQdwvCI9iyck3V1x+zfc/ULx7zlJMrMPSHpA0geLbb5lZs2GvAGspWSwcPcfS/pTcH/3SXrK3fvu/htJlyV9pEP7AKyJLmMWD5vZS8Vpypnittsl/b70mNeK2wBc49oGi0cl3SHpgqTXJX296Q7M7JKZvWBmLwz33mnZDADHpVWwcPc33H3k7mNJ39bBqcYVSe8rPfS9xW1V+3jM3S+6+8WN3ok2zQBwjFoFCzO7rfTrZyVNr5Q8K+kBM9sys/dLulPST7s1EcA6SM4NMbPvSbpL0i1m9pqkL0u6y8wuSHJJr0r6oiS5+ytm9rSkX0jak/SQu6+mWgiAI5UMFu7+uYqb//2Qx39V0le7NArA+iGDE0AIwQJAyFrUs5CZxhv5fj0LqahxsTlbz6J8X9l4c3GXeaLuRF29iv191hS2zYbBVc4bFKOd0QvWgxgsJzG2ST2KKlsb8eXjm9azSNWjSEkVu21bzyJSj+IwJ/Pd5GOq6llsW7C4SqGqnkUT9CwAhBAsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAISsRVKWjV29v/TlvUns8l6mbOCziVi9g2Ss+QWEqhKwxqV8n6pFiFKLBdUlX9WtXj6f5NV6EaBoslXLnKxUsljTRKku2+cNEteybNw6aWoqtf1Gnp7zWJUYVpUw1URk++kK6OUEsD+Pm5V2qEriYhV1AEduLXoWU9OexXhj8a/TfPp3cl+l3kRVOnhbdWnidenhy7L0dPJj0CS1vEkaeVuRdPJUyviyTHsUkdTwOlU9i8zoWQA4YgQLACFrcRrimWnv5Jay4WQQJxuONLx5a2YwMRu6bDTpMg1Ozsa4qlOD1ADm4FSi+5VV32/BWad2dhB63MLT1jzvvNFwOXH+9nNvdtp+M4sXRms6YPnhs79r2pwZG4m2vb3XbqCy6Wrm8yKzR6sGM//5RLNTkqEvfrZuajAOT88CQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkDIWswNkSbzQabTyj3PZCOXlVL5Pbf9uSLzM4mrZhaX55VUzR2x1BSGUU3xm7raLnNzOrxm+5RRcDtrOUU9NfdkNO729+PdBtvnDaaob2Yj9cfdPq6p7bey9DT4qvklXVf6imw/nT9SnkdSNdfjMBu2+OE1xT+n9CwAhBAsAIQQLACEECwAhBAsAISYNxxRXUojzP5H0l8l/XHVbTlmt4hjvhGs8zH/vbvfGnngWgQLSTKzF9z94qrbcZw45hvD9XLMnIYACCFYAAhZp2Dx2KobsAIc843hujjmtRmzALDe1qlnAWCNESwAhBAsAIQQLACEECwAhPw/LvSDOWuiMpAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2119e780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7759017944335938 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 1000000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211d4c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.804816484451294 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 1.0, 'lmda': 10000000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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ACEkGCzN73MyumtnLpdvOmtmPzOxXxf9nitvNzL5pZpfN7CUz+9AyGw/g+ER6Fk9IunvutkckPe/ud0p6vvhdku6RdGfx75KkR4+mmQBWLRks3P3Hkv40d/N9kp4sfn5S0mdKt3/HJ34i6bSZ3XZUjQWwOm3HLM67++vFz3+QdL74+XZJvy897rXiNgDXuM4DnO7ukhpny5jZJTN7wcxeGIze6doMAEvWNli8MT29KP6/Wtx+RdL7So97b3HbAnd/zN0vuvvFzfxEy2YAOC5t072flfSgpK8V/3+/dPvDZvaUpI9KerN0ulLPXfb2u1JepLTmmbL+aCbF2/NsfznD+VTuqtRuzw5SiSuXN0wsQ1iX1l2XDj3/HG3TsaPbtU0nT23XdEnBBQ1SuJscg+dqvbzg/j5S21ugg1yRcl6Vit1EZPu8eN5yavm7e8G5AdN9VKSlW4OM+2SwMLPvSbpL0i1m9pqkL2sSJJ42sy9I+q2k+4uHPyfpXkmXJb0j6fPxpgBYZ8lg4e6fq7nrkxWPdUkPdW0UgPVDBieAEIIFgBCCBYAQggWAEIIFgBCCBYAQggWAEIIFgJC1qe4tSconscs3F5s1X+07pZx+XVepu426quBH+RwRy64efhyaVBJvVDW8rUD18FSF8GWZpnlHKoHXqaoGbg3mgK5HsMgy+c1/IxtMXggb7Gl4/oQ8P/gC5v2xsr3Jgb1zcvZTVvWhS5Xs758+/Mtd90GOzp3on2n34Y4GgWUtBTA813HHTcr1N5zrceLWvzZszKw8P/yLPhy2+zrccesfW2031bN0AKqaB/Lhs79r9Dz98eLxvZTHJwNxGgIghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASBkPepZSBpv95QPDmopeG4ab5brWah039y2FQVdUmuZpgqvVEz9lxSvZ9F6LdJokZe9JRXbaVKPokKT4jDJtUfnpOpRpGz1Fou/lLWtZxGpR3GYmzf6ycdU1bPYqChmc5iqehZN0LMAEEKwABBCsAAQQrAAEEKwABBCsAAQQrAAELIeeRbuyt/alfeK2JVlyvvjmdyKcc/21xGZXxOkKqdiXFpzpCqnIpUvUXd/Xf7E/HO0XtcjmD/ROo8jtV3D3IeF/TfZ3hrkdOTeOg9iKrX9dCGfQ5tRketRlQPRRGT7jXySU1HO6Xh7b6vR82xVfCizBu8BPQsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAIQQLACHrkZQ1lU1i13h7sVnzxXBSyklSVcVx2qormtOxrkjzdiy7uM5xaFBop0lRnbYixXVSBXSWZZqMFSmUU6eqWI6JpCwAR4xgASCEYAEghGABIGQtBjg9M412tpXtTmbFZbt7Gr5nW54dDGhmA5cVk+b6O7aw/bx8ePjAzWAn0aaagcxode/hmXYDch4c9LPBcqp7b597t9P2kZmbU8NhosT6nDtu/WPT5sxIVeFuO3v0Y7f8ptV2U1uWnqL89mhxhuknd15p9Dy7vnh8T2XxAVN6FgBCCBYAQggWAEIIFgBCksHCzB43s6tm9nLptq+Y2RUze7H4d2/pvi+Z2WUz+6WZfXpZDQdwvCI9iyck3V1x+zfc/ULx7zlJMrMPSHpA0geLbb5lZs2GvAGspWSwcPcfS/pTcH/3SXrK3fvu/htJlyV9pEP7AKyJLmMWD5vZS8Vpypnittsl/b70mNeK2wBc49oGi0cl3SHpgqTXJX296Q7M7JKZvWBmLwz33mnZDADHpVWwcPc33H3k7mNJ39bBqcYVSe8rPfS9xW1V+3jM3S+6+8WN3ok2zQBwjFoFCzO7rfTrZyVNr5Q8K+kBM9sys/dLulPST7s1EcA6SM4NMbPvSbpL0i1m9pqkL0u6y8wuSHJJr0r6oiS5+ytm9rSkX0jak/SQu6+mWgiAI5UMFu7+uYqb//2Qx39V0le7NArA+iGDE0AIwQJAyFrUs5CZxhv5fj0LqahxsTlbz6J8X9l4c3GXeaLuRF29iv191hS2zYbBVc4bFKOd0QvWgxgsJzG2ST2KKlsb8eXjm9azSNWjSEkVu21bzyJSj+IwJ/Pd5GOq6llsW7C4SqGqnkUT9CwAhBAsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAISsRVKWjV29v/TlvUns8l6mbOCziVi9g2Ss+QWEqhKwxqV8n6pFiFKLBdUlX9WtXj6f5NV6EaBoslXLnKxUsljTRKku2+cNEteybNw6aWoqtf1Gnp7zWJUYVpUw1URk++kK6OUEsD+Pm5V2qEriYhV1AEduLXoWU9OexXhj8a/TfPp3cl+l3kRVOnhbdWnidenhy7L0dPJj0CS1vEkaeVuRdPJUyviyTHsUkdTwOlU9i8zoWQA4YgQLACFrcRrimWnv5Jay4WQQJxuONLx5a2YwMRu6bDTpMg1Ozsa4qlOD1ADm4FSi+5VV32/BWad2dhB63MLT1jzvvNFwOXH+9nNvdtp+M4sXRms6YPnhs79r2pwZG4m2vb3XbqCy6Wrm8yKzR6sGM//5RLNTkqEvfrZuajAOT88CQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkDIWswNkSbzQabTyj3PZCOXlVL5Pbf9uSLzM4mrZhaX55VUzR2x1BSGUU3xm7raLnNzOrxm+5RRcDtrOUU9NfdkNO729+PdBtvnDaaob2Yj9cfdPq6p7bey9DT4qvklXVf6imw/nT9SnkdSNdfjMBu2+OE1xT+n9CwAhBAsAIQQLACEECwAhBAsAISYNxxRXUojzP5H0l8l/XHVbTlmt4hjvhGs8zH/vbvfGnngWgQLSTKzF9z94qrbcZw45hvD9XLMnIYACCFYAAhZp2Dx2KobsAIc843hujjmtRmzALDe1qlnAWCNESwAhBAsAIQQLACEECwAhPw/LvSDOWuiMpAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb212b5f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.711700677871704 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1e-10} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2123e1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.743802785873413 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1e-09} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21166470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.8793838024139404 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1e-08} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211b1c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.8132786750793457 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1e-07} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb212b4b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.9745256900787354 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1e-06} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb213dd278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.7534687519073486 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1e-05} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211e3fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.7800660133361816 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 0.0001} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb213cae10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.9411191940307617 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 0.001} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211f5e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.7407543659210205 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 0.01} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21274b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.7607641220092773 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 0.1} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21331940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.9025001525878906 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21262a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.862701654434204 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 10.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2128d438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.8413772583007812 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 100.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21283898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.809281826019287 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21367198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.8215384483337402 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 10000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2132d208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.7482171058654785 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 100000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2134f9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.6674375534057617 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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ACEkGCzN73MyumtnLpdvOmtmPzOxXxf9nitvNzL5pZpfN7CUz+9AyGw/g+ER6Fk9IunvutkckPe/ud0p6vvhdku6RdGfx75KkR4+mmQBWLRks3P3Hkv40d/N9kp4sfn5S0mdKt3/HJ34i6bSZ3XZUjQWwOm3HLM67++vFz3+QdL74+XZJvy897rXiNgDXuM4DnO7ukhpny5jZJTN7wcxeGIze6doMAEvWNli8MT29KP6/Wtx+RdL7So97b3HbAnd/zN0vuvvFzfxEy2YAOC5t072flfSgpK8V/3+/dPvDZvaUpI9KerN0ulLPXfb2u1JepLTmmbL+aCbF2/NsfznD+VTuqtRuzw5SiSuXN0wsQ1iX1l2XDj3/HG3TsaPbtU0nT23XdEnBBQ1SuJscg+dqvbzg/j5S21ugg1yRcl6Vit1EZPu8eN5yavm7e8G5AdN9VKSlW4OM+2SwMLPvSbpL0i1m9pqkL2sSJJ42sy9I+q2k+4uHPyfpXkmXJb0j6fPxpgBYZ8lg4e6fq7nrkxWPdUkPdW0UgPVDBieAEIIFgBCCBYAQggWAEIIFgBCCBYAQggWAEIIFgJC1qe4tSconscs3F5s1X+07pZx+XVepu426quBH+RwRy64efhyaVBJvVDW8rUD18FSF8GWZpnlHKoHXqaoGbg3mgK5HsMgy+c1/IxtMXggb7Gl4/oQ8P/gC5v2xsr3Jgb1zcvZTVvWhS5Xs758+/Mtd90GOzp3on2n34Y4GgWUtBTA813HHTcr1N5zrceLWvzZszKw8P/yLPhy2+zrccesfW2031bN0AKqaB/Lhs79r9Dz98eLxvZTHJwNxGgIghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASBkPepZSBpv95QPDmopeG4ab5brWah039y2FQVdUmuZpgqvVEz9lxSvZ9F6LdJokZe9JRXbaVKPokKT4jDJtUfnpOpRpGz1Fou/lLWtZxGpR3GYmzf6ycdU1bPYqChmc5iqehZN0LMAEEKwABBCsAAQQrAAEEKwABBCsAAQQrAAELIeeRbuyt/alfeK2JVlyvvjmdyKcc/21xGZXxOkKqdiXFpzpCqnIpUvUXd/Xf7E/HO0XtcjmD/ROo8jtV3D3IeF/TfZ3hrkdOTeOg9iKrX9dCGfQ5tRketRlQPRRGT7jXySU1HO6Xh7b6vR82xVfCizBu8BPQsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAIQQLACHrkZQ1lU1i13h7sVnzxXBSyklSVcVx2qormtOxrkjzdiy7uM5xaFBop0lRnbYixXVSBXSWZZqMFSmUU6eqWI6JpCwAR4xgASCEYAEghGABIGQtBjg9M412tpXtTmbFZbt7Gr5nW54dDGhmA5cVk+b6O7aw/bx8ePjAzWAn0aaagcxode/hmXYDch4c9LPBcqp7b597t9P2kZmbU8NhosT6nDtu/WPT5sxIVeFuO3v0Y7f8ptV2U1uWnqL89mhxhuknd15p9Dy7vnh8T2XxAVN6FgBCCBYAQggWAEIIFgBCksHCzB43s6tm9nLptq+Y2RUze7H4d2/pvi+Z2WUz+6WZfXpZDQdwvCI9iyck3V1x+zfc/ULx7zlJMrMPSHpA0geLbb5lZs2GvAGspWSwcPcfS/pTcH/3SXrK3fvu/htJlyV9pEP7AKyJLmMWD5vZS8Vpypnittsl/b70mNeK2wBc49oGi0cl3SHpgqTXJX296Q7M7JKZvWBmLwz33mnZDADHpVWwcPc33H3k7mNJ39bBqcYVSe8rPfS9xW1V+3jM3S+6+8WN3ok2zQBwjFoFCzO7rfTrZyVNr5Q8K+kBM9sys/dLulPST7s1EcA6SM4NMbPvSbpL0i1m9pqkL0u6y8wuSHJJr0r6oiS5+ytm9rSkX0jak/SQu6+mWgiAI5UMFu7+uYqb//2Qx39V0le7NArA+iGDE0AIwQJAyFrUs5CZxhv5fj0LqahxsTlbz6J8X9l4c3GXeaLuRF29iv191hS2zYbBVc4bFKOd0QvWgxgsJzG2ST2KKlsb8eXjm9azSNWjSEkVu21bzyJSj+IwJ/Pd5GOq6llsW7C4SqGqnkUT9CwAhBAsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAISsRVKWjV29v/TlvUns8l6mbOCziVi9g2Ss+QWEqhKwxqV8n6pFiFKLBdUlX9WtXj6f5NV6EaBoslXLnKxUsljTRKku2+cNEteybNw6aWoqtf1Gnp7zWJUYVpUw1URk++kK6OUEsD+Pm5V2qEriYhV1AEduLXoWU9OexXhj8a/TfPp3cl+l3kRVOnhbdWnidenhy7L0dPJj0CS1vEkaeVuRdPJUyviyTHsUkdTwOlU9i8zoWQA4YgQLACFrcRrimWnv5Jay4WQQJxuONLx5a2YwMRu6bDTpMg1Ozsa4qlOD1ADm4FSi+5VV32/BWad2dhB63MLT1jzvvNFwOXH+9nNvdtp+M4sXRms6YPnhs79r2pwZG4m2vb3XbqCy6Wrm8yKzR6sGM//5RLNTkqEvfrZuajAOT88CQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkDIWswNkSbzQabTyj3PZCOXlVL5Pbf9uSLzM4mrZhaX55VUzR2x1BSGUU3xm7raLnNzOrxm+5RRcDtrOUU9NfdkNO729+PdBtvnDaaob2Yj9cfdPq6p7bey9DT4qvklXVf6imw/nT9SnkdSNdfjMBu2+OE1xT+n9CwAhBAsAIQQLACEECwAhBAsAISYNxxRXUojzP5H0l8l/XHVbTlmt4hjvhGs8zH/vbvfGnngWgQLSTKzF9z94qrbcZw45hvD9XLMnIYACCFYAAhZp2Dx2KobsAIc843hujjmtRmzALDe1qlnAWCNESwAhBAsAIQQLACEECwAhPw/LvSDOWuiMpAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2129a978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.7299928665161133 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 10000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2134fa90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.73073673248291 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 100000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211e79b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.7332351207733154 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 1000000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21233f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 3.7009294033050537 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 1.0, 'lmda': 10000000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2119b2e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.795102834701538 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1e-10} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2120e128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8175323009490967 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1e-09} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb212f6b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7915070056915283 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1e-08} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211c4f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.789095401763916 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1e-07} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb212eef60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.781489372253418 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1e-06} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb213e5588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8251757621765137 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1e-05} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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ACEkGCzN73MyumtnLpdvOmtmPzOxXxf9nitvNzL5pZpfN7CUz+9AyGw/g+ER6Fk9IunvutkckPe/ud0p6vvhdku6RdGfx75KkR4+mmQBWLRks3P3Hkv40d/N9kp4sfn5S0mdKt3/HJ34i6bSZ3XZUjQWwOm3HLM67++vFz3+QdL74+XZJvy897rXiNgDXuM4DnO7ukhpny5jZJTN7wcxeGIze6doMAEvWNli8MT29KP6/Wtx+RdL7So97b3HbAnd/zN0vuvvFzfxEy2YAOC5t072flfSgpK8V/3+/dPvDZvaUpI9KerN0ulLPXfb2u1JepLTmmbL+aCbF2/NsfznD+VTuqtRuzw5SiSuXN0wsQ1iX1l2XDj3/HG3TsaPbtU0nT23XdEnBBQ1SuJscg+dqvbzg/j5S21ugg1yRcl6Vit1EZPu8eN5yavm7e8G5AdN9VKSlW4OM+2SwMLPvSbpL0i1m9pqkL2sSJJ42sy9I+q2k+4uHPyfpXkmXJb0j6fPxpgBYZ8lg4e6fq7nrkxWPdUkPdW0UgPVDBieAEIIFgBCCBYAQggWAEIIFgBCCBYAQggWAEIIFgJC1qe4tSconscs3F5s1X+07pZx+XVepu426quBH+RwRy64efhyaVBJvVDW8rUD18FSF8GWZpnlHKoHXqaoGbg3mgK5HsMgy+c1/IxtMXggb7Gl4/oQ8P/gC5v2xsr3Jgb1zcvZTVvWhS5Xs758+/Mtd90GOzp3on2n34Y4GgWUtBTA813HHTcr1N5zrceLWvzZszKw8P/yLPhy2+zrccesfW2031bN0AKqaB/Lhs79r9Dz98eLxvZTHJwNxGgIghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASBkPepZSBpv95QPDmopeG4ab5brWah039y2FQVdUmuZpgqvVEz9lxSvZ9F6LdJokZe9JRXbaVKPokKT4jDJtUfnpOpRpGz1Fou/lLWtZxGpR3GYmzf6ycdU1bPYqChmc5iqehZN0LMAEEKwABBCsAAQQrAAEEKwABBCsAAQQrAAELIeeRbuyt/alfeK2JVlyvvjmdyKcc/21xGZXxOkKqdiXFpzpCqnIpUvUXd/Xf7E/HO0XtcjmD/ROo8jtV3D3IeF/TfZ3hrkdOTeOg9iKrX9dCGfQ5tRketRlQPRRGT7jXySU1HO6Xh7b6vR82xVfCizBu8BPQsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAIQQLACHrkZQ1lU1i13h7sVnzxXBSyklSVcVx2qormtOxrkjzdiy7uM5xaFBop0lRnbYixXVSBXSWZZqMFSmUU6eqWI6JpCwAR4xgASCEYAEghGABIGQtBjg9M412tpXtTmbFZbt7Gr5nW54dDGhmA5cVk+b6O7aw/bx8ePjAzWAn0aaagcxode/hmXYDch4c9LPBcqp7b597t9P2kZmbU8NhosT6nDtu/WPT5sxIVeFuO3v0Y7f8ptV2U1uWnqL89mhxhuknd15p9Dy7vnh8T2XxAVN6FgBCCBYAQggWAEIIFgBCksHCzB43s6tm9nLptq+Y2RUze7H4d2/pvi+Z2WUz+6WZfXpZDQdwvCI9iyck3V1x+zfc/ULx7zlJMrMPSHpA0geLbb5lZs2GvAGspWSwcPcfS/pTcH/3SXrK3fvu/htJlyV9pEP7AKyJLmMWD5vZS8Vpypnittsl/b70mNeK2wBc49oGi0cl3SHpgqTXJX296Q7M7JKZvWBmLwz33mnZDADHpVWwcPc33H3k7mNJ39bBqcYVSe8rPfS9xW1V+3jM3S+6+8WN3ok2zQBwjFoFCzO7rfTrZyVNr5Q8K+kBM9sys/dLulPST7s1EcA6SM4NMbPvSbpL0i1m9pqkL0u6y8wuSHJJr0r6oiS5+ytm9rSkX0jak/SQu6+mWgiAI5UMFu7+uYqb//2Qx39V0le7NArA+iGDE0AIwQJAyFrUs5CZxhv5fj0LqahxsTlbz6J8X9l4c3GXeaLuRF29iv191hS2zYbBVc4bFKOd0QvWgxgsJzG2ST2KKlsb8eXjm9azSNWjSEkVu21bzyJSj+IwJ/Pd5GOq6llsW7C4SqGqnkUT9CwAhBAsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAISsRVKWjV29v/TlvUns8l6mbOCziVi9g2Ss+QWEqhKwxqV8n6pFiFKLBdUlX9WtXj6f5NV6EaBoslXLnKxUsljTRKku2+cNEteybNw6aWoqtf1Gnp7zWJUYVpUw1URk++kK6OUEsD+Pm5V2qEriYhV1AEduLXoWU9OexXhj8a/TfPp3cl+l3kRVOnhbdWnidenhy7L0dPJj0CS1vEkaeVuRdPJUyviyTHsUkdTwOlU9i8zoWQA4YgQLACFrcRrimWnv5Jay4WQQJxuONLx5a2YwMRu6bDTpMg1Ozsa4qlOD1ADm4FSi+5VV32/BWad2dhB63MLT1jzvvNFwOXH+9nNvdtp+M4sXRms6YPnhs79r2pwZG4m2vb3XbqCy6Wrm8yKzR6sGM//5RLNTkqEvfrZuajAOT88CQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkDIWswNkSbzQabTyj3PZCOXlVL5Pbf9uSLzM4mrZhaX55VUzR2x1BSGUU3xm7raLnNzOrxm+5RRcDtrOUU9NfdkNO729+PdBtvnDaaob2Yj9cfdPq6p7bey9DT4qvklXVf6imw/nT9SnkdSNdfjMBu2+OE1xT+n9CwAhBAsAIQQLACEECwAhBAsAISYNxxRXUojzP5H0l8l/XHVbTlmt4hjvhGs8zH/vbvfGnngWgQLSTKzF9z94qrbcZw45hvD9XLMnIYACCFYAAhZp2Dx2KobsAIc843hujjmtRmzALDe1qlnAWCNESwAhBAsAIQQLACEECwAhPw/LvSDOWuiMpAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2120d278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7852787971496582 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 0.0001} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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ACEkGCzN73MyumtnLpdvOmtmPzOxXxf9nitvNzL5pZpfN7CUz+9AyGw/g+ER6Fk9IunvutkckPe/ud0p6vvhdku6RdGfx75KkR4+mmQBWLRks3P3Hkv40d/N9kp4sfn5S0mdKt3/HJ34i6bSZ3XZUjQWwOm3HLM67++vFz3+QdL74+XZJvy897rXiNgDXuM4DnO7ukhpny5jZJTN7wcxeGIze6doMAEvWNli8MT29KP6/Wtx+RdL7So97b3HbAnd/zN0vuvvFzfxEy2YAOC5t072flfSgpK8V/3+/dPvDZvaUpI9KerN0ulLPXfb2u1JepLTmmbL+aCbF2/NsfznD+VTuqtRuzw5SiSuXN0wsQ1iX1l2XDj3/HG3TsaPbtU0nT23XdEnBBQ1SuJscg+dqvbzg/j5S21ugg1yRcl6Vit1EZPu8eN5yavm7e8G5AdN9VKSlW4OM+2SwMLPvSbpL0i1m9pqkL2sSJJ42sy9I+q2k+4uHPyfpXkmXJb0j6fPxpgBYZ8lg4e6fq7nrkxWPdUkPdW0UgPVDBieAEIIFgBCCBYAQggWAEIIFgBCCBYAQggWAEIIFgJC1qe4tSconscs3F5s1X+07pZx+XVepu426quBH+RwRy64efhyaVBJvVDW8rUD18FSF8GWZpnlHKoHXqaoGbg3mgK5HsMgy+c1/IxtMXggb7Gl4/oQ8P/gC5v2xsr3Jgb1zcvZTVvWhS5Xs758+/Mtd90GOzp3on2n34Y4GgWUtBTA813HHTcr1N5zrceLWvzZszKw8P/yLPhy2+zrccesfW2031bN0AKqaB/Lhs79r9Dz98eLxvZTHJwNxGgIghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASCEYAEghGABIIRgASBkPepZSBpv95QPDmopeG4ab5brWah039y2FQVdUmuZpgqvVEz9lxSvZ9F6LdJokZe9JRXbaVKPokKT4jDJtUfnpOpRpGz1Fou/lLWtZxGpR3GYmzf6ycdU1bPYqChmc5iqehZN0LMAEEKwABBCsAAQQrAAEEKwABBCsAAQQrAAELIeeRbuyt/alfeK2JVlyvvjmdyKcc/21xGZXxOkKqdiXFpzpCqnIpUvUXd/Xf7E/HO0XtcjmD/ROo8jtV3D3IeF/TfZ3hrkdOTeOg9iKrX9dCGfQ5tRketRlQPRRGT7jXySU1HO6Xh7b6vR82xVfCizBu8BPQsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAIQQLACHrkZQ1lU1i13h7sVnzxXBSyklSVcVx2qormtOxrkjzdiy7uM5xaFBop0lRnbYixXVSBXSWZZqMFSmUU6eqWI6JpCwAR4xgASCEYAEghGABIGQtBjg9M412tpXtTmbFZbt7Gr5nW54dDGhmA5cVk+b6O7aw/bx8ePjAzWAn0aaagcxode/hmXYDch4c9LPBcqp7b597t9P2kZmbU8NhosT6nDtu/WPT5sxIVeFuO3v0Y7f8ptV2U1uWnqL89mhxhuknd15p9Dy7vnh8T2XxAVN6FgBCCBYAQggWAEIIFgBCksHCzB43s6tm9nLptq+Y2RUze7H4d2/pvi+Z2WUz+6WZfXpZDQdwvCI9iyck3V1x+zfc/ULx7zlJMrMPSHpA0geLbb5lZs2GvAGspWSwcPcfS/pTcH/3SXrK3fvu/htJlyV9pEP7AKyJLmMWD5vZS8Vpypnittsl/b70mNeK2wBc49oGi0cl3SHpgqTXJX296Q7M7JKZvWBmLwz33mnZDADHpVWwcPc33H3k7mNJ39bBqcYVSe8rPfS9xW1V+3jM3S+6+8WN3ok2zQBwjFoFCzO7rfTrZyVNr5Q8K+kBM9sys/dLulPST7s1EcA6SM4NMbPvSbpL0i1m9pqkL0u6y8wuSHJJr0r6oiS5+ytm9rSkX0jak/SQu6+mWgiAI5UMFu7+uYqb//2Qx39V0le7NArA+iGDE0AIwQJAyFrUs5CZxhv5fj0LqahxsTlbz6J8X9l4c3GXeaLuRF29iv191hS2zYbBVc4bFKOd0QvWgxgsJzG2ST2KKlsb8eXjm9azSNWjSEkVu21bzyJSj+IwJ/Pd5GOq6llsW7C4SqGqnkUT9CwAhBAsAIQQLACEECwAhBAsAIQQLACEECwAhBAsAISsRVKWjV29v/TlvUns8l6mbOCziVi9g2Ss+QWEqhKwxqV8n6pFiFKLBdUlX9WtXj6f5NV6EaBoslXLnKxUsljTRKku2+cNEteybNw6aWoqtf1Gnp7zWJUYVpUw1URk++kK6OUEsD+Pm5V2qEriYhV1AEduLXoWU9OexXhj8a/TfPp3cl+l3kRVOnhbdWnidenhy7L0dPJj0CS1vEkaeVuRdPJUyviyTHsUkdTwOlU9i8zoWQA4YgQLACFrcRrimWnv5Jay4WQQJxuONLx5a2YwMRu6bDTpMg1Ozsa4qlOD1ADm4FSi+5VV32/BWad2dhB63MLT1jzvvNFwOXH+9nNvdtp+M4sXRms6YPnhs79r2pwZG4m2vb3XbqCy6Wrm8yKzR6sGM//5RLNTkqEvfrZuajAOT88CQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkAIwQJACMECQAjBAkDIWswNkSbzQabTyj3PZCOXlVL5Pbf9uSLzM4mrZhaX55VUzR2x1BSGUU3xm7raLnNzOrxm+5RRcDtrOUU9NfdkNO729+PdBtvnDaaob2Yj9cfdPq6p7bey9DT4qvklXVf6imw/nT9SnkdSNdfjMBu2+OE1xT+n9CwAhBAsAIQQLACEECwAhBAsAISYNxxRXUojzP5H0l8l/XHVbTlmt4hjvhGs8zH/vbvfGnngWgQLSTKzF9z94qrbcZw45hvD9XLMnIYACCFYAAhZp2Dx2KobsAIc843hujjmtRmzALDe1qlnAWCNESwAhBAsAIQQLACEECwAhPw/LvSDOWuiMpAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2121eba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.816478967666626 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 0.001} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21221e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.821610927581787 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 0.01} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211b3710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7589621543884277 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 0.1} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb212a4e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7933294773101807 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211e6f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.7772436141967773 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 10.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb212822b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8266870975494385 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 100.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2112c198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 2.0591745376586914 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211609e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.90696382522583 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 10000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2116f240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8194646835327148 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 100000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2134f3c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8314118385314941 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2134fef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8367934226989746 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 10000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2116fe48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8164896965026855 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 100000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21362fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.827906847000122 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 1000000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21118b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 1.8394818305969238 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 1.0, 'lmda': 10000000000.0} is: \n",
      "[[  5.   6.   4. ...  20.  20.  20.]\n",
      " [  6.   8.   4. ...  20.  20.  20.]\n",
      " [  4.   4.   5. ...  21.  21.  21.]\n",
      " ...\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]\n",
      " [ 20.  20.  21. ... 101. 101. 101.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21365358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.65642762184143 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1e-10} is: \n",
      "[[ 13.          14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.         ...  29.          29.\n",
      "   29.        ]\n",
      " ...\n",
      " [ 20.          20.          29.         ... 365.00000001 365.00000001\n",
      "  365.00000001]\n",
      " [ 20.          20.          29.         ... 365.00000001 365.00000001\n",
      "  365.00000001]\n",
      " [ 20.          20.          29.         ... 365.00000001 365.00000001\n",
      "  365.00000002]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb21310cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.41731262207031 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1e-09} is: \n",
      "[[ 13.          14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.00000001   4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.         ...  29.          29.\n",
      "   29.        ]\n",
      " ...\n",
      " [ 20.          20.          29.         ... 365.00000015 365.00000015\n",
      "  365.00000015]\n",
      " [ 20.          20.          29.         ... 365.00000015 365.00000015\n",
      "  365.00000015]\n",
      " [ 20.          20.          29.         ... 365.00000015 365.00000015\n",
      "  365.0000002 ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211e2f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 35.13930344581604 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1e-08} is: \n",
      "[[ 13.00000004  14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.00000008   4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.00000004 ...  29.00000004  29.00000004\n",
      "   29.00000004]\n",
      " ...\n",
      " [ 20.          20.          29.00000004 ... 365.00000148 365.00000148\n",
      "  365.00000148]\n",
      " [ 20.          20.          29.00000004 ... 365.00000148 365.00000148\n",
      "  365.00000148]\n",
      " [ 20.          20.          29.00000004 ... 365.00000148 365.00000148\n",
      "  365.00000202]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb212395f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.420260429382324 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1e-07} is: \n",
      "[[ 13.0000004  14.          4.        ...  20.         20.\n",
      "   20.       ]\n",
      " [ 14.         20.0000008   4.        ...  20.         20.\n",
      "   20.       ]\n",
      " [  4.          4.         13.0000004 ...  29.0000004  29.0000004\n",
      "   29.0000004]\n",
      " ...\n",
      " [ 20.         20.         29.0000004 ... 365.0000148 365.0000148\n",
      "  365.0000148]\n",
      " [ 20.         20.         29.0000004 ... 365.0000148 365.0000148\n",
      "  365.0000148]\n",
      " [ 20.         20.         29.0000004 ... 365.0000148 365.0000148\n",
      "  365.0000202]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.514784812927246 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1e-06} is: \n",
      "[[ 13.000004  14.         4.       ...  20.        20.        20.      ]\n",
      " [ 14.        20.000008   4.       ...  20.        20.        20.      ]\n",
      " [  4.         4.        13.000004 ...  29.000004  29.000004  29.000004]\n",
      " ...\n",
      " [ 20.        20.        29.000004 ... 365.000148 365.000148 365.000148]\n",
      " [ 20.        20.        29.000004 ... 365.000148 365.000148 365.000148]\n",
      " [ 20.        20.        29.000004 ... 365.000148 365.000148 365.000202]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.89564752578735 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1e-05} is: \n",
      "[[ 13.00004     14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.00008      4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.00004    ...  29.00004     29.00004\n",
      "   29.00004   ]\n",
      " ...\n",
      " [ 20.          20.          29.00004    ... 365.00148001 365.00148001\n",
      "  365.00148   ]\n",
      " [ 20.          20.          29.00004    ... 365.00148001 365.00148001\n",
      "  365.00148   ]\n",
      " [ 20.          20.          29.00004    ... 365.00148    365.00148\n",
      "  365.00202   ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.520052671432495 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 0.0001} is: \n",
      "[[ 13.0004      14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.0008       4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.0004     ...  29.0004      29.0004\n",
      "   29.0004    ]\n",
      " ...\n",
      " [ 20.          20.          29.0004     ... 365.01480072 365.01480072\n",
      "  365.0148    ]\n",
      " [ 20.          20.          29.0004     ... 365.01480072 365.01480072\n",
      "  365.0148    ]\n",
      " [ 20.          20.          29.0004     ... 365.0148     365.0148\n",
      "  365.0202    ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.7362539768219 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 0.001} is: \n",
      "[[ 13.004     14.         4.       ...  20.        20.        20.      ]\n",
      " [ 14.        20.008      4.       ...  20.        20.        20.      ]\n",
      " [  4.         4.        13.004    ...  29.004     29.004     29.004   ]\n",
      " ...\n",
      " [ 20.        20.        29.004    ... 365.148072 365.148072 365.148   ]\n",
      " [ 20.        20.        29.004    ... 365.148072 365.148072 365.148   ]\n",
      " [ 20.        20.        29.004    ... 365.148    365.148    365.202   ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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EmIiqZhY5i99V1WdU9Xbw9zcBvKmqtwC8GfxNREtuHsWQ5wC8Erx+BcCX57APIjpjZYOFAvh7EflHEXkxWHZNVe8Fr98HcK3kPoioAsq24Pysqt4VkasA3hCR/xt9U1VVJL7NYxBcXgSAllkrmQwimrdSOQtVvRv83gTwAwCfAvCBiFwHgOD3ZsJnX1LV26p6uyHlmhgT0fwVDhYisioi6+FrAL8P4C0ArwF4IVjtBQA/LJtIIlq8MsWQawB+IP5gMA6Av1XVvxORnwB4VUS+BuBXAL5SPplEtGiFg4Wq/iuA/xizfAfA7+XamBHIShvoRWY+D2ZR99r+GBRmM6WpRjCKkrs2Hq+ivhUz5sWpWdTTk5Q0m3nWvB7heBTWvUcnTI7ElKR1v/wYClFOP0j3UblqLM3x8ea+fTdPp+fB6ZWsjzeAlzJJfXM3f7fTel9x1C2fLk1JFwA0gsvfORqn8fhixocmON3p8SyE41kQ0axVYjwLolzCG6TCbhxPDiY+EwwWtHwm//njgkEFRsM+bxgsaHkkBYDo8vMcOBZ8HAwWtDzyFCfOY9DgJENElmzrJ5Y9KCRZ8HHxaQgRWWHOgpaHbTY8ab1lz3GwGEJkadn/2ctiBSegIxfu9g7MysrJMun6rTm1s+f/fviKP49Iow7045tHmv1xC9DhtY3p99vjeSfMML0FZON+/Ixig8sJnd6CL/JkprCC83rYtszsfyhf670TCRdc7biW+r6tRo5Wmb0r9qVgMxTr1q1p6gfJ6etftTj4iVUGQ4HXLH/Lj84HEqd33d9HdH6RUTvffocb07PFad1+G6yzICIrDBZEZIXBgoisMFgQkRUGCyKywmBBRFYYLIjICoMFEVlhsCAiKwwWRGSFwYKIrDBYEJEVBgsislKJXqeTpNmIWSj+XCLDHBMdBLQRxMThDPr4JmzCq/tvyOiM+hEX3I3nxH/QDCs+BPZZnFaLfUz2fJXpjpzzVeY8lDyHzFkQkRUGCyKywmBBRFYYLIjICoMFEVmp1NMQaTX9F8YAo4mnHo4/RqR3YQVynPBExI2vmpaRX9Pvro7H4Kz10p+qhLOhT20rofbbBGNuenU//ja6xWY5D2czz3IyZmZOSU89wlm888xsHsfp2R/3cMW+el6dYrOcT6r3k7fhNi3SM3F79WpAc6f8o5ro7OhxvJq/Dx1fwmht5tvvaD1mFnXXfhvMWRCRlUrkLKRmYNbX4O3tj5fdvAEVgQlyG3rsj+gtv+5g8NuPT2zA/1XrtcfLzHTErG8dnrzufPxSapqcQTN2uUp6JG52/HTuPJUwCniG2pHlVzLjdgdhjmL3o+XuH7WB/ec1xzE09hWdp0vmLASoHSXvVAtMzFHvCg4/flQmVYAA2s/IKQantbY/Xu/Crd1cuxkMp68tadk3FGHOgoisMFgQkRUGCyKywmBBRFYYLIjICoMFEVlhsCAiKwwWRGSFwYKIrDBYEJEVBgsissJgQURWGCyIyAqDBRFZYbAgIiuVGM8CYiDtNrTXP1mk9RpUBO7FNQBAbbfrLwemxnIIx0UYrY4Pp9EZTO9nNO67L1762AWjZnwcbXZG/hwmGv95M/D3UXQeDrX8RholR7SaFI5wlWc8ijh5x6iwVT8EnF65QTw049Aa+/m3Xz8Ejrr17BVTqMk+D85uLdjfOI17+yu59uMdTKfTG9p/38xZFJEQKIjOMwYLIrLCYEFEVhgsiMhKZrAQkZdFZFNE3oosuyQib4jIL4PfDwXLRUT+QkTuiMjPReST80w8EZ0dm5zFdwF8YWLZNwG8qaq3ALwZ/A0AXwRwK/h5EcB3ZpPMihEZ/4R/04NLJn4ml8WtE31vSWQGC1X9EYD7E4ufA/BK8PoVAF+OLP8b9f0DgIsicn1Wia0U1fFTET4debDpxM/ksrh1ou8tiaJ1FtdU9V7w+n0A14LXjwJ4N7Lee8EyIlpypRtlqaqKSO4YKSIvwi+qoFVbL5uMsxcWPVRTG2nRAyCrOKEW6yyBojmLD8LiRfB7M1h+F8CNyHqPBcumqOpLqnpbVW83TDtuFSKqkKI5i9cAvADgT4PfP4ws/4aIfB/ApwHsRYoryVwX3s59SDuY8k8EOOj7wXinAwDQR6760xmKoHYUP+Was9s7eT14OJJbCac3rI+nfjMZ8w83O8exy3tXG/EfCPbhtv34K8XmRbaemLh3ZbZPvcNJivM0146Tpwn30WX7nQ3XAa82g4mRu8n7PLpq8aVNfHx4JNBGwS87IjotYRz3ut99YXQ0Xm+lHX+NJmle6E0t22rYT1+YGSxE5HsAngVwWUTeA/Bt+EHiVRH5GoBfAfhKsPrrAL4E4A6AHoA/tE4JEVVaZrBQ1a8mvPV7MesqgK+XTRQRVQ9bcBKRFQYLIrLCYEFEVhgsiMgKgwURWWGwICIrDBZEZIXBgoisVGN074C0gubexpyMxH3Swzcy2rcZJLTVjozeHW2WGzf6t9NLb+YajtI9lcaEUcHV+DsJRwWvHxZrmhyOsp3FDAu2y074WDiqeNlRw+uH9usOc/QfVAEae+V7Y6Wlz13J3n7cCOHOTvl/o+io3XGOmsHI3JGRwHtbq7n2cbQ2nFrmuvb5hWoECyOQ1VV4nb2TRfqbHwEMYBy/Lbwcj/zrfHMHh595InYz9bVxv424Pg7N7fFUA1u/s5GapHov/tR4TvqX2r7vB7KtTxQbHt7pTXx5gtO9FoPX3oy/ueaufxF2ni4XLPIM15+nr0djTzB4up+9YobeYcqJc/Ifu+k4uP7UZvaKadsQRaffSl3noZp/8+rsjQPE5z/6L7n20zluw4jCi/xzvNG071/CYggRWalGzoKmhTkKohkxwbAzJv/wM/7nZpkYIjq/mLOoKuYqaMY8lak6izwYLKrqHAzDRtXCYsh5xtwFVQiDBRFZYbAgIisMFlU3OUkNUQlFKzcBBovlsYTT3dH5wmBRZQwQVCEMFkRkhcGC6AFStI0FwGBRXazQpIphC06iB8Q5ae4tkEYdGp2K0fgD3sBkZ368RjBPp8lxErJWLVuxWPTzcYcrCa/noeT24waHqYqa48KV2V/yZbL2ANB0RoVOu8mZ9QwDRdH0ViNYGAGc0xPDas2/6rwL/gzrZj954BNx/YMPJyUGgPpBzGha3ngUKsmYD9ZtxH999cP0kazMwH/fTA9KZMVLnx93nI6D2ZZR6n1/e7Wjs3v8kjZJ8dS6hxkD11hwxQHc5H2aruXJj6h3DXYOVsokCyLZI1Z199rBi/GgSne6l3PtZ+twemSt/sj+nFb4PkBEVcJgQURWGCyIyAqDBRFZYbAgIisMFkRkpRqPTkcuvO37kHYwd4IY1A4G/uvNHQCAd+Nhfx4R7wJqR/HPPaPzgvQeW5t6X2X82MwkzFMUCuf/mHTwcMIpCzbtOcGjrYJPNsP5O7L0r852kiG3GbRVKdlstLFvn66jq3YTKgHBBEAF5vWYlPZ4VK4Ncm9vsObgUqPgc/KITi99wqBHrnUAAPsbzZNll1uHU+0m0tpRPL6+M7Xsvbr9vCHVCBZElFtci8y4v2eFwYJoSSUNwDvLABHFYEG0pJizICIrcX09yvT9yNzfXLZKROcOgwURWWGwIFpiZ1W5CTBYEJGlalVwih+7pFGfbhqUYzCcSYUGx0mSsAnPSX9/5grux0v6xhdx28hxDFUZVMfUTjcInMdgOrH7DXIMk6csTwVn3GA5eS6jinwFRFR11cpZEJG1s25nwZwFUUFydiMQVkKlchbSCjrJGAFGp8uG0TE5a8OEDkhe/PK4MTqdI7uxNKe3lbB+EMDDsTuLjpEZjoWZZTAsdqUmpT8c+zPPuJhx6of26w5zjvdpOuUv13o3+f44WMve/lQdhSvYvT/daTG3yNiacXba/jifnjdO/9v3r+TaxZXV6S/nyLU/p9UIFsbArK/B6+ydLPI+dhMqAicI3+bYv8rl3ja6n7t5+vPBOo3WuEehxnQubO6MexXu3gq+4PB/c+K6PV6Pv6jcZuzi8T62/SCz+2SxTNtRysUc5TVn+4isueOfgMOPH5XazlHSRS+YOtfasO916uw4uP7UZqm0GdHUwXWL9B7dvb+G//z0z8skCzV4+FXvUuo6G3X/e3m7c/Vk2bd+4/Vc+9kZTQe1X+aI7iyGhDihD1EqBgsissJgEXrAKquI8mKwoLPBYt7SywwWIvKyiGyKyFuRZX8sIndF5GfBz5ci731LRO6IyNsi8vl5JXzmeDHPF3NuS88mZ/FdAF+IWf7nqvpM8PM6AIjIUwCeB/Cx4DN/JSL554RbBF7MRKkyg4Wq/gjAfcvtPQfg+6o6UNV/A3AHwKdKpI+IKqJMncU3ROTnQTHloWDZowDejazzXrCsehQsepwlnXjNc790igaL7wB4AsAzAO4B+LO8GxCRF0XkpyLy02MveYb0uRGw6HGWZOI1z/3SKRQsVPUDVXVV1QPw1xgXNe4CuBFZ9bFgWdw2XlLV26p6u2HaRZJBRGeoULAQkeuRP/8AQPik5DUAz4tIU0RuArgF4MflkkhEVZDZN0REvgfgWQCXReQ9AN8G8KyIPAO/5PkOgD8CAFX9hYi8CuCfAYwAfF1VE7ouEdEyyQwWqvrVmMX/PWX9PwHwJ2USRUTVwxacRGSFwYLOBh+VLr1qjGchAOqnx0FQEahj/IFwptY/vWw8WG6B53EJH9FFPdpbdPguedxq5jgUfckh4prOaC6jW9VgPy5HnHZtONch/GelIsFCAOd0q3Ct+d+qu94CAJhe8sAk4ehPo5XISFi96S9QRuNlSSNGhbxG/PJaxtgwtWEwWe0ofb0kcYP2xHF6s73qnSM/3do/u9b5tX37fdUPBZ1+q9T+BIDrJkfjTm81/0a79cyBa7IYUfRGCRdc4NcHGwCArb3xADZv9W8krR7r3aPpdB56/8/684u+jxHRkmCwICIrDBZEZIXBgoisMFgQkRUGCyKywmBBRFaq0c5i5MLbvg9Z8buqiwicg2P/9b1tAIB782F/0qHhBdQSZgtrfzBuBHFwI9LtPWyJo+Pn9GaU3gimvR2/j4NHaqcnzAEmxmrw2w5IwXY6jV279XrXZ9uIxwvatZS9fTi79m0n3OuD7JUCR806HqqV75PY3UseDuGRa53Mz082ntppr5xMAFRG2I4iye0r/w4AeG/14smy63XLiyXwdPvdqWVv1HrWn2fOoqizGsBFIr9lYhnRGapGziIwnuvUAKPTt2bPMYAI3I02aoP4u2q0hWa0XW/YdHu0Or7r2bbEnNpHQo5Bg7AbTm9YtIVl2JIyS9EWoonN24PW9nlaVcapH9of9+gox76MorNXoIXlpJQ5Rfc3MuamxPTp8zxzakrBoqItM+OEOYojd5z+H3efyLWPG63poXT73r9bf545CyKywmBBRFaqUQypGZi1Veje/smi0WOXAAPUPT/7Fc6i7ry7hc6TN2M34znjGbLjeo22do5PXu/8Vvq4n6OV+FPjZvRlagV1TrufKFZOOL5olzUftWdbwdna9E/YhVv5Ks0m7e0nz1I+aaV9nL1SoLe1is9/9F+KJOmEgeJO93Li+5dbh/BUYERPfifxggvs7ftXcs9mHierU1hYmRktevy3R/93rn3sxQyM/apjP1h2NYIFUQVEA0QYMELh8nDZMnQpnzUGC6JANEeRlLOYDBoPEtZZEJEVBgsissJiCFGAdRbpGCyIAqyzSMdiCBFZYbAgIisshhBFROssbNZ7kDBnQURWGCyIyEo1iiGeQvt9SCvoeCECM/D7Vsiu31/E+9B1wAD60IXELuqN7ngioqNL0504jtfH3XtrGd0SGt34fQwupteCH6/778txsTjsdO1q2YcbBQeCSdj8KEj3YFjukvAOkruAT2pesB945WhtiM6x358n+kTCtjgQrrt1mNzN/fH1ncztmIl5GK+sHmJnlN693EbcBEBR4cA10W7mcX090myY6f5QtRz5hWoECyILk4EhLlBMPtJMajdB+TFY0NKYbBAVl7NIymnkyYVQPNZZEJEVBgsissJiCC0N2yKHzWcpP1Fd/EkUkS0AhwC2F52WM3YZPOYHQZWP+T+o6hWbFSsRLABARH6qqrcXnY6zxGN+MJzhIaOQAAAAQUlEQVSXY2adBRFZYbAgIitVChYvLToBC8BjfjCci2OuTJ0FEVVblXIWRFRhDBZEZIXBgoisMFgQkRUGCyKy8v8Bntxq7VTi/VMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.73691654205322 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 0.01} is: \n",
      "[[ 13.04    14.       4.     ...  20.      20.      20.    ]\n",
      " [ 14.      20.08     4.     ...  20.      20.      20.    ]\n",
      " [  4.       4.      13.04   ...  29.04    29.04    29.04  ]\n",
      " ...\n",
      " [ 20.      20.      29.04   ... 366.4872 366.4872 366.48  ]\n",
      " [ 20.      20.      29.04   ... 366.4872 366.4872 366.48  ]\n",
      " [ 20.      20.      29.04   ... 366.48   366.48   367.02  ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.62600350379944 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 0.1} is: \n",
      "[[ 13.4   14.     4.   ...  20.    20.    20.  ]\n",
      " [ 14.    20.8    4.   ...  20.    20.    20.  ]\n",
      " [  4.     4.    13.4  ...  29.4   29.4   29.4 ]\n",
      " ...\n",
      " [ 20.    20.    29.4  ... 380.52 380.52 379.8 ]\n",
      " [ 20.    20.    29.4  ... 380.52 380.52 379.8 ]\n",
      " [ 20.    20.    29.4  ... 379.8  379.8  385.2 ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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9g94oKExDp/hP5tUBRHIWKhnXdwi26sJI2q7qVOfy/Q/lyQaDFdLo67no72d/JYvSxWutyUNbwDe4G4tmtLYZVOVYazOG2zM6sZ58pfXnQV2aDHfpWBOOXbe2T7S2W5RtYIz40W+IfBypuwQTmfHYaGxJgTI9kQy7zh0V688lQ+CUMUTvUdlPTPsLxenWdzDEMMKKXhsylf1lFqXI+cM3RP8xjDAKyRyyHoh8ESWjQG5U8vRNWQR3zMDZF2BVxvG13ExY6r5k/eED9geaM0hmaVPlWmVanUF29AGjY45B6zyhrBxtuuxcB7WegzJpu5CGPB0bqiLXn1kAO5EqkhHcyhQ+CE47zrZh0oUfwKDNAoZkYRyPVxJ7OMIO5KFtyJR4JmPqPUbnSqQFL46LzktNl+4Qh0hzlyZsFJJBF0kWPq8vl8S57viCaTB1/bajNdw/ZP/IMeHSdvR5N2Q2e6zxz5gxY5+wH5IFOdCNY+C5CJtdLtrwW7+n51+901/TLK4b+epb/ZJ01noUMoQ77CDml6nrbBSe6TaZpdIWD4ZDjv1eodWZGMLGRgRxXB+X8e/Fu/Z+r5uCzlrXRLquQkHchMD6mOI8/tAQ6w/vl2+U5FY1Dp5uuAtbByagPpQiQSwBHN2f7p6pzmoc3rbf2dDiP5FkRkCtVwxU38eNu+17kZsMrW8skjYdkvAOTtKLbsJeVfvBLHaFCStaDa5SJdJycy1GkdPRjXMvkso6rGnOER1XvBVAItJHZWhjACtjXncyUa6dZO3XNoMuLVInKO7Im3gT2neRu2Yf6zRz+nn0TfTGYPlNWGlD6nCo5z1ts/DY8bJ3k6cZb1yPXUeuvouiYwoGp0ePTiW/BPpzAlEmtmLfEH8TY3kv5yFeLGbhMXHRlzEUexKim1BuAZ9Q16VvX6jVJZ9nF0080YtldZoxF7W8zwzWojTfNJq4eKTOre5NnhYg266eOUffxQR6wzaLW3w2s4FzxowZRXgxJYtt1JFIz2xH8eLt7TLljKXL0XFs2vmVbF/odetuaPErNvlfn9bnF25ls47d2izM9NiOGfJdps1ijE6W7WrZLARdpn2C0rS8RPqC2Cy4rlHfe9Cv7g2AT9oNX/hp++s+8H4AAK2Pwc/PEQUKdbEOcgOgsAq3+CDlrFR3PrK6d8brsX7lZv45CKC69d5YS63lxHeZdKgXUvFL5UnjrSOcvXo8agkfivRM5kUULuumj7Xt4vDBcLtKPPtgZtMgY0sEahhcvlZOFoeP816qpx9axNfGmqSLj5CeDIvxDEXdhtmrI+v6PP1w9/DCe9OYzZfnXCcvU/KN2GXY2AtmUYTS8O/kvkx6Zor1NraAVi/spZCEyyejx4B9YmibQ0wcZZNMaVL4yCv7epRXSBTFkOuD+ufJWfGtEPOBDhfRNsAwSTHrwQA8zditcyM9LIirJZvc+wrE2dejcpV9xgzfztEpPS8b4vowi10j6chkf6QlRRlGtpKw61G3rGeQGUZZYtib/HEU8MqdzOkAUkZtXRMMXI/a1vMNjeBF7SM7Oxvp4lxGYcoIziRSMqN6ykvhfNDLZPyO0anv3QKzgXPGjBlFeG9IFsYmuQnCjMnpLDh2iQ0M5QxQhsUnkkjhpjN9vRNsFhZpJSPbNpDPY9pzMs9rTpazj8eQuA4pTaNGqBIRHel5MEobthxZRk6qiX5H2p20NGE9j0WnVcaGePGZRansNFEN0aJw5DPP1pG3UyRMZmgPENiMIOsV0MXINPUcO1MxNHI2Cz2jFTbjkw9RNF1fQYZWR6Wqdxa8DlaEquio0oYg84b203l1Ucq4anqVjPyRmcfybgwYZptqu8FgP5nF4WGa5gi8XIQ5HaMQH33YAGho2fOJkoUe3ZqDboOkZmB+wQ4li2JoaWNBZkdgv8nQZUoWmWn+JLtvmA7fJ12kZDG2ilez6MuypLGLkiwsTJYsmu2ki/1kFnuMbcX9K4Ex2iQSxFXs0p7bNX4foJvDeudX9d63qLdkAaAc9otZdHEWRBRW8w6oWumA79wCPX5q3j62MZDfAAjoV+HOwc8eTdLrG2ngFHqJouk2zlk83mxWqJ/9OYbqhpqBmVM3AqHd73n8wXhG1xy23OPg4YRpiAbcqnzmZp3M7NXm/j59fUwbzQrVqAbat1mOBx3ogaE+pDAjdBvI2aRmvW4BYmB9hPBej+5P6/VnL6VxFlPWQZ29ITNmzCjCXkgW5Byc2jfEfewj7e9ZN9Kdr0AAmrffRf09H4+NZV0cgjsV0YN+spUQbeWWgn5fj1yob3XWCCe4JxRtJOHAZj5eonj0nbfHfdu6fADVOcfXfBahH3ubQ25iVSie0/ScCLp83Lbdve89KjaYWcY1l9tRzzCqSo9CVirqDIUHTxh3P12wnoVRjpSk3HlfRlglS9kPskUbIvzyCePtT0kDmaJfPMMQrW41HJ7q7R7LJ33ag+9v0rIzdTEx3GkqG9RHad4c9oJZZJHTo7Xxr7Oul8TIWxhac7EtTJ2WlG1kSeqwihkIKvLXifMf9tT0BAUGs/AcE4xrWZpy92ij44TZnbocsjowjDYZKZ8yeUzjpDSACtKnzJyNBjI22qvEwOkZIVG/0I9h0C3BrIbMmDGjCPstWVwCSqWJC61rg3Ku0gGz7ezFncFQE8fWhdD3bOMd8CidNJbNq2MnjOMstFdmyMi9JWbJYsaMGUW4/pLFhrNRR2MlhoxSlkEpo9ubZW+JvVgKbioNlp687XNY+vmAITHM0hTpSXb/LsdsMkpCsZbrk2tsWt+bJUVk361IT0K/o7VEDLr1tQ2/x62YBRG9CeAEQA1gzcxvENErAP43AN8G4E0AP8nMD3JlDKLUSNkxjKlGTaCw40nRNnwA1CX5VcHTggYXZRmy/gPRfhYJLWR/gLrOKd6QiI6hj03QkJ0OrepP1BYSvzm1wVItNB2lGFBJonb057BVPXOhnO7ZIhL9uWQGo7SMjCyEtC6tgljla4a0xcC1CzXkbzDzp5n5je785wF8mZk/AeDL3fmMGTOuOS7CZvE5AF/sjr8I4O9sXFJJCLKjyHXq/0rBenQJdatjw31KYZ2FCfJ0zl3o07u6shLAgFTR0mK7VofcrQkdQ9cs0TzzTFrUHq3XKmuorazzAXcsifbN0UBN/Cv/SB43wmWqVQRFi94FLUr3akxDoIZCm+m/7LPJZ9IqiVEfCdqnzkfZllkwgP9ARP+JiL7Qpb3GzN/ojr8J4LXNS8+8dW2jaPpOu+my6KbNIpu3oAdMsWTLP/VBSL1XxjYMrZRlddLijmvRpK9ZeYHxZ1b3s1WHlZeAMJlsgC7O0CHb0EpP6sz8sZUOI4+V5jLlCVrynrnWuMJGGe29HP6ytDsGO4SZxf5vilqyrYHzR5j5LSL6IIDfJaL/T15kZiayx7OOuXwBAI5cfl3LGTNm7Ae2kiyY+a3u9x0AvwHghwC8TUQfBoDu953Mvb/EzG8w8xsHdGxXUKpOKDVkJ8iMzkCh2rGJgKPE5CH16ELVkAHVogjWyG9lG6onEed5lDZt0LVUTDmCR5GdUqrL/JGVDiOPlZZTawTt0ftJ3Ce2atRmpfCXp4tsNWTCO96YWRDRTSK67Y8B/C0AXwXwWwA+32X7PIDf3LSOK4H4cKwO5yEZ0+QtAozsVnDOUOe+UDXESiPxzITo2ZPl8EvsDpk6BhmNKYKLagzxXteRdkpBrxD1LZFfqiFBjAfitVOcOKd8WXB9Xg5qgqF/Wm0kzqN7PC2GKuRpS9SQCdhGDXkNwG9Q+9EsAPw7Zv73RPSHAL5ERD8D4M8B/OTGNeRGcD03RLlOp3TeKastXRhYfANytBOwllW7FIj6gkTFAIH7X5l3rCxgp/RPijnJSTC7xFB51rvjWIA2PajZkQEgqzF9PTv+VjZmFsz83wD8gJF+D8DfnFSYI9DRIfBMbJ6wXABEaG60q2Y5sSeINnBy1bLI9e1+ha3lOydpPet+8r6rPWOxRfT62IXZpXIpvGRfDwW/HkV1zvaLkh1Gdx4G6gNfF9BQz8zkR0QMHD7Ybt0JjcVzv4s6tvrAmkU/YkVtyuhH3C796GG5Ob563mD5ZGTjkFzn8FIDAc1S0NbEHfXo3nTOsThlHDzMDNHWu4ZK85KglEbQ0SXuP7zX1+dxfmeaaHBwkjaOK9/mZQ73njFjRhn2O9x70yXWCu7TRi5TRczFUUjJRu7tEd2cqVeOuoa+renJrd2YC3HPRXAWI2dPsbKyUZ9la9EjvtChs6qJMSqPqovW0Cfq1lGxWgLyOr2W5ixELm0dRu6Rs734c/GMfre1bNSuM+pyKZ1DdDdb7ui238yiwPZg2icmBmUBtu1CL3IT1TW2tH0GY+sZNPoDK+0oHR1kxaAMzZ0Zod0KcfZtlfMWmd4Gs/DMcS6PLy7XJizeozDy+eX9iYHGGXnV/RHtGSQq1lTosUVuUgRE4eZRe6p69aATlaMMudvOKdpvZlEgIUibwpT7kqoKOiOx6HibbKWYqVO70MK1TEfJRp1aNAW3clqXdc+mxl7Z8Yo/StVRzWu+M2gpLIMo2tEfytFYMAMzKGsAY9LGxjBsLfqbMAPODOlTMhhtI93WkL/fzGLTmImC+3Kj5ShyascGGJsIZuUd7JCWFBE8RRki1HMMdQaLqenrk1plKLMeuQ0j9FBbRB2osdvVVJcGsGtGEX1zlhQm0iJvmLqeexf6/MWWLKbC2LAmmzUjQksMblg8IlmUjEKWPSI3U9RSAa5KstjW3WyOkgWShSkJ6FHXKGcoJgUoUJdE/l0yjCQ0XMOSpmSas+1Glt1qF5LF7A2ZMWNGEa6tZGFuAzgxGKstxz7P1lWofoTFUZPCfIbUqAVO6bHiLAAM765m0VOaL0e3ldcS/w39u73Qp4dnK9kx3B9bYvTAuRTv/TPpiEX9rKP7jVppU8R7ZXAMcRZAP1vUkpIIYX+PaPezOr5lkE4AbsttV64ts0iiNSeKWCVqiPeGRHUVGjalmy5iANIoZbzlnF6e0FsN2CEsegqNjyUhwCQ/8uRivtzELSzrKlFDVFDXGFMKSVVcr6Qp8jiNPLulhkwKo888YxQiLuuSdVQir0+vpqkhL4TrlNc16vsP4LodyUAOdNJGc/Kjdq8Pfu1VAIBbLoHnq9g+0e0P4h73EaDr1+4kxkh33O845VZtWrK7mN9j5N2zXlIRdZ29ejz4cvxOYXJfD22VBgAnjG6yjBCZKWwNkc2iZnBFOH3/Ypo1URvSFKrb3Y5v1gpdFgPznVKNloeP7Aos6ejZB1z+GRSzcOcudJgccjYFmX5wIt535yXx1559iOLnMgYUXb47JzR6a159L8OOavV50UXODuDZRzjU51EfNeX2IwLWd/xGrH1yc1D+Ee0FsyjGFO+IVBfErFTvarWMlyWzSUtH6Nz1nEdhLH+SN2MBz344Y48mn2sTsVqeW20reo9p2R8quyQ/ukew2iV3r1YhdD3qniimQR/rMnQ9ORWn9NmalFn5dxW98gE1kM26yvvUbOCcMWNGEWZmMWPGjCJcLzVkB9jZ4jihPJWw2+InodiPrvTpvcSIjeXS6vfIifeX9L5zhu7LxIvPLFRUYxIePmRZNzAa+bnLj1saaA0vjBXAVQTtwstdu0psSof1PPIdc5yVSdkTZJ4hQ6/3glh5tYFUuUFNev33lLFtmHNWMkZm8/2yugcqvQDXi1lsOgtVLOgrf9uTrmi1dsUgGQUdc8gy39IwwHD8/SPRoiYdmzKuTIdKytT3FNZneUOyH7pFwxAdog7rlsijRCq/SovqGahP1uV3tU/uyR0DqaF8RHKQkoWcJWvSmfsurOeaMMjMNosZM2YUYWYWM2bMKML1UkM2MU4KEX5IxSjdMGg0PHwkDqM0zmLjCUsl91mqw1DTlsZDDFVpPWs2TkPQMxbDIOvI5PHp5uxMa1OecJNKF2khVFzbPKz1JAzjaNIGEzb8Sda30O8zp8psUJfE9WIWF4GJBs5wm9b7LsIwOGLgLELOq6D1XmTyXSa0YXDTMiQ2NHBGNqeMITFr2L5gA2c0rX2CgZMdg2p6jxg4p6B0zYlduKI2ZDij2OFCOwnTyElAF8X4SpCr1zJCTinDP5NiRIEhZDrVVBgOAAAgAElEQVRPGMFlOTKfZBiyfSeM9tqbUmLgDLCY64CLl/yEkyFv2ACuF7PYkTdE7vmRmxuyGX2IXvo23hCZP8rryyjt1GMjtfGxJtmHOrH14RnqXtYbMlaHvF7gDbGy5NJBXbFa8iD7nURzgvyvpisjHWXnhugCczCuh75f4t2w2rwtZaTiHrOBc8aMGUXYL8mCOt51sDSuUbuXyGrKRgctG20O2umKtOoUQmcbMreRKnjRsexzX5ad7yInkuWJ6w+bpT30VCvuR//SsrMGSqNtxZBmTt7S5Vii9ZYGTqses92FdBHlRT/Nm3V+61jeu+VEMvO5uKcrymeKVznBvFwP2S9mcdFw2NgSHGB9tNSLmVcWjpuhy0JuXYYrgWWsI8Rq4mXTpoyXiarh4a6g3bZY148dg5rNCX5vMYttGQUwOHKYa0FcNYwPfa9ozEpUV0hkKX+6ChK3WAiUtuRss81ixowZRXhvSRaWGrILt6dyx+0MU+IsLFGZhbSTGYwSei9ztDQ9KcorNbU9refR3g55SsKeINrQHMAVvdllAbVHRNar6VNeirE4i4QeyyNltSvDjrOYgFmymDFjRhH2SrKgw26NTCJgrbwei9YM3dy5CTrN7CC+tpcv9ith1zf6NTirp8O7kPvd0JP0hpOp4cQA1wwQoTls+e/y8QSvjYDfzXwM1e0qa/XuiU3TvddDo+m8OUePtjPsVM/L718dLzKjXDqMNkvg6P72Yo/chVyjPpomvTF1dN3dmqxBuoDOi8XdLvCd8ff4nWkiwvlLlDQtTfhM94pZ7BpbB1kV13PhVewM14nWq8RYUB2Ay/fSAFdjVO2wF8yCnIO7dRPNw0d92rd/CwDAHXVLJ592AQwPHuL8r31HqocSUD2/Ee63FuddvHMSrj/6gVe7jFKJ7d/+4lkTu/V8XUC7yrRXqb0XpBtQDx62Esu97z2yX6x2FarjsMqz0p1DBGdXX3YVbktnF67AnB7uJYp7n6rGje0D0ZTVWWU+t7UVAIw9SANU2xw+ZNz7fj0sqvsI7c7Syay8vqzqjMJxuos6D0tmBr0Hjwkn33cm8hkNzQRy7Xk0dknOczZiEaC2zOrxIhS9/ORDNExwoi4rRAUAKmKcnx6AiMGy3qNySXAvmMXW2CWHL5FESrh7Ls9YemHYb9ZomXPtjtXvix8qs7SdM0zWLLeknRIGpyrInqPjtBkyOc6qg7RY5xX0xgFbZNwUp7EV32C1j2WMDY9H0XtvmMBMYMksmFqGoZhCDf9p08azJmYD54wZM4owM4sZM2YU4cVQQ4DtVu32u5r547ZEcX2TMjEq8iflq/x7Y4zclI7Lor905SBlnNyb9s1hhD7KPKdPT+wTW+KFYRaTvR4yf7f9YfhN8vpKppQ/MQ/F5Y9G9eauWfpvKT05uobqGLvfuCUYFCeQ1N6gjIdWI+UaLViKY5rkCt3h3CjK58uukKbbTFoac0FZ4bplETaewZfjaWAyGYLFINq8+U+8BLMaMmPGjCK8MJLF1mpI9zu0vH605PvGdXW/SYBPGhNSuq/qzpFpSr1Yj17AZ+h+c/GbrelkW93TrmJuD8Ku6Srv1uqSXp3IWjkncfP2jUhprFQxTeTLErAki5zKMgWzZDFjxowiXE/JwtKJt1oOr7dZkDksdnU0/W+y0K0BcyTN2BEIaTzA0EI5F2acy+nKQGoqYDUADsRNmDaLAWljyCyRNGhiy1BxJd11aoyYC0mzkpwsehL48qPr6lzZGqLKmMCCYL/eBGdn/onDrnGapv8YtQ3DSxRN47o4EcqXPYLrySxMMXdi7/H5pcVHqiEk1A6lhpQwipYmRa9SPeK81DIM4/7k453iaZmKgWaM6PFtIQ2C3b9MEONgmUPpfTtmLKcqkipSN7hjEkCIfI2KklGZAzRlVUICyIkO6ukhApzkeIJedPd00abt/T4rp3RJg6k0yHZ5nUt1Y800nGtAVIHBGxs4ryezADbzUAyW175gufy7tk9MslfIDp3zSkSWd2Wpz0gPwaCfYxhjXpItmIzVNmb/zUkXWorYlOlFXCu9RplV3akxGFgTn+cYnGeQLM5Dvobi9tUr6cqOLu/xI73JndSxHnjQMoSm84iErOJcMwzp9NsE15dZbAvdYh27HRLvJxk4J3ZaLVmMqhlj5es8O5BE9ArjWQNncYGbEhDpb6nh0DJwIpUIPQOQIdwbuU6J2zkpnh5/PiRZ+rX6cgZODX+vfJ5uXkj0+AOxFbPrdMaMGZeCF0ay2ImBE8Mj5NZu06ReUXZmbNmn9TKnqByb5puMEZUnm1eO1DunZ8LQPWRwLFC1GTANmkm+HVjEXxhmsbWBcxv5zCwf4zYFXZ1hs8hGcl6BzULWMbWlzOeY2lm1DpBdcKKA8QpVJUdjqc0iMmB6NUGrg6TTpO6RaU1t1FZpXuXI2Sz8eZ/3RbBZOAc6PgY/fRaSeOEAIvDLt9osD07ie3xfFx18fbPfb2T58BRo0G5F4iWCul+Fyq+e1ZWifoH1sf0CDx8MLy3kVm0d7nwwWxaNfyPSGCauc/fhHT7a7ZDoV7iqzqrxzLozyEsD61Lqznkw4RmWTxmLZ7rSjNtiyMMivSSKgR6eUEJzf7NxDmDxFKCTvhtZNo0hYzWAdh2N5CIiWpYnbcMunvQFPXl4IxnjrHOgSztZJOXyutwSsR/MwgLR4EifSBL6Y2zU72BdsDuAZsO7lDys+oHItZcdjT2mDBFSkhqC1Q6GODw4d6WwmSarJmPBD9LyHxk4BbFDI76UCkrUGLTqb4l6llWLcvxP0kBov2MtCZllKrWmawgG22ugTHgHs4FzxowZRdhfyQKYZkcQXHr6iKV+AXt03MF6nmNRnbmozUvFWDtggLah9F0LZgMRXYnB2Jh1GtF2WbCMllEo65SyeqkhSde6zw4MnLNkMWPGjCKMMgsi+mUieoeIvirSXiGi3yWi/9r9vq9LJyL6V0T0NSL6z0T0g1tRN9FGQJw3Jg3fmEm/gJXBvYdjtP6rdJmS+NtlmbuGf+FW+lialp4uyByV0mHUJV1fk8oaef4di6klksWvAPgxlfbzAL7MzJ8A8OXuHAB+HMAnur8vAPjFjSljznZWP507iq1Q1ufwZLkn1IYtmTZkvAPa3cH8nz/Pla873li65XqTkN+VNwKLP3b9X5Q+cI9kyuz68vt7EAzIrI7lNx55G3y7WmK3L8OJP12mTPebTjuO/0LePs2/uLgsY68UQvttSEndiTQX0wcCuBLn3R8TpXRZdFbc/sn0ytOMdh6JP9bfBLq6q/i7IddGf1LF/Z9Tf1XT/XFLc9XT3j5rORMZtVkw8+8R0bep5M8B+Gx3/EUA/yeAf9yl/yozM4DfJ6KXiejDzPyNYoo8Lsrz4KFHlrxhPYWee2DNRSjR6XUdksnlQPkBBZiePiXfmIXfnPDmMeypTmF6HgbyK2RDMHJ1+Hvs8QfJXKGIvuFvlRj26t45QpLKBW1WvaLsdtN5oy55b1RdeT/b1GbxmmAA3wTwWnf8UQB/KfJ9vUubMWPGNcfW3hBmZtpgGR4i+gJaVQVH1e1tyZgOSwVJ8hDMOAupdsjNi63yJcY8AlLCUfn0dPVcnMPgRCiMj86DwUNknxfBerac5CGviTYrqS8r3QzFNIjniUiiOGs06UxXahLTldOQmK6ez5ekifaS6mBSr/XOtbRs3Z8lyMamksXbRPRhAOh+3+nS3wLwMZHv9S4tATP/EjO/wcxvHLjjDcmYMWPGZWFTyeK3AHwewD/vfn9TpP8cEf06gM8AeFRkr1iv0bx7D3TcMQ1HoMdt6Dc/eNj+fqTVdIgI1fN1MG7KbQoX95+GIs8/8lI/mnTMszrsQ5nduk2kLgI8LJjS5T28v+pZqddVHfDsgwe2xNHFhNRHXR2WXUGNbtZof/Sw6emR9Pu83eI7zz7gxkepgngJn2d1vAjPmNhv9C1SMlB1HDyyIxrlqOxpef4qFdshVjcJvFCjs1G/aRP3dXO73aCmydNw+oEmFtl0WxptW90h8MGIocgSA5WYVJ1U0S0aqw+fgwhYvdx/w4fHq9G5IYEUApYvPU+arDrY4faFRPRraI2ZrxLR1wH8Alom8SUi+hkAfw7gJ7vsvw3gJwB8DcAzAH+/mJKLRE4lKEkrgfGFmqG1qg4y0oppKTGg5q4bBt0k5HkAQdS3mOEExJOxkDDGKF3UJ+OXIlVLl+nTu2cymbcFpjSDfuCsHtj9kiiHfYJVV5d9zOjLYttB//xMnYojsqm65NwQv7VhVOyEd1biDfnpzKW/aeRlAD9bXv2MGTOuC/Y73HtfIcPQ5bxfVsOchdwIbhnfcu6uTSSg3P0j7kSzqE282rn6h4ye8lxIBtrYO0ob23nTfEpayFmL/bkUNnSbSglpzKitaLVpS69zJ0pZGnFyO2PrHcpmZrFLkCWbXzYN4nhM5dgHlNJy2TQTMPYukyC0PUfgYRtGc87MYpe4gPDw6TSMnOu0q/7YtWQxlu+ywBiWLHzSHrzyUgThZEPpYmYWU2HIea1/3jCKXQWGLPhGWr8uyBXRbXy3Zh+9ZKbWLs480CYEe4ezy8CGdVbEWGe8JSWYmcUmUAxj42XvhjwQkVVd5VXegSjfmNRAgNwqMVm7tECT2niy3oYdP5p7grxHMuugcHlPSUwjh0JIt3lSKOJ9U/S7HGPa8lpEQ4629DoRwA2BxEpbQytl+W0DNpUs5inqM2bMKMIsWUxFtKihONcj9EV7Q6baJmTRmdm6Q/dEWS7SGwLb8XDp3pACmwWAfnLZNfCGMDa3VwAzs5iO3FqWWve/bDVkkGZV7tjHe5lqSC5WSakcYX4EcPFqiD8eusFXdo3UkPZ3czVkr5gF3ejCvYmAJg5D5WUFEIEPbsGd9itsR20oVu8G0K7pIOBX/2YCFk/jvBp+le6ERmtzXfQfjV8V/OAJj3tHDMbjV9nu88BkFu58ggZZYC9ouoXRDx9uZ+hcPi2/f3WTUiaY6WjsgMMHBR/5UOfjmD5v3PWS1vrY2fe1mbt0dT8BB3cLVkQfsSOnK5fHaA7bripXAl+9PW1O1fnt7iULZtHU121178qBbt1E8/BRn/aJbwUAuKp7Eaer9vfd+3j+me9IP34Clo8Pwu1yzoj/GJbv9lsNvPvX35fSITrVwdOlOZJxlR/BAODofstk7n56OT7y644CYPmkCnWFbGrAY9fSYZavO5pVl0l3e+He91tDs/EhW1NPqVuu38jPjpNbeNEz3tzUCf/shw8IT7/31CY+1A+xjaBStXzdzxZxOvprqDjPtFQ5/nfxcIH3f9/dkKXpCHei/oYJlWuSEV3mffzsqC3WaDsixs1FDQJw0i3/DwCf/dSfoWZCJerS5x4OjHtnN+GoQSP2a3h8WL5nxWzgnDFjRhH2Q7LYBbaTnvsyCtU5PfIVu65HRvgoa842sItnHYKuNDfsD4VHF9VjCyiyykltK2+07EEldoQSo6RxvREP4Kjd3VxKF5bE4AofjLnbad0bM7uyLCmiIkYt6vLXGxBcZ411YsmvKU07SxYzZswowosjWUjGXcICrRF+wsA4aeHksbpGPALRHIQJ0s9GIF+JQUjJIpygVFwYWEkqDPojNossrYkXqas/Z9Ada7shm4XOJ+ClhIYpkSoAhKhJKWFY9g2dX54TOg9IV7mXIpZCUlixQ0UMB0YjHsCB0bBLbBZTPqUXh1lMRcZqbn2YQ2mT1ZAcOWNlXLTqMVRPshgM216aDeraSg0xjZAtbdGCMJ3Rkypjv3LNjTZQQ4gYddN2QEcczj0TcIa7kojbxbWJs+pIvKlxqoYAwJKaiClItUNjWzXkvcssMrDeW+6DLob1RtSHPsQoNopr2AbZhTzFdRm8VFLettx0sPzuV5BtxhJI+0VI223DNkyTdHtmKtqO10KtFw0V6V7qGGIeUzHbLGbMmFGE/ZUsNtznFEC7ZuZCpA/FI1yGeJ+xWZh6uc+j18JU1zODiilRy/TRFrVsFkmekeulozXla5JFJJO1jHKATlxHL7oD7chNbiBqMQpiGaPXNmQ4YrBoE69iVK6VGerGJTYIR9wv7dqpLp5es2piVMSRzWJJtkwi1R+ZZtpGJnSA/WUWUzYZMg1d6lfDq+G6oxZUWzbPwDhWrjsdN6TzmExE3puxu0T1dm0jzQ2D91ib4Zgx1LBdp7mP3TAI8xSbBSMNuFL1c+blcdPR5YOu4pr6tAY9kyYg0g/IP193LmTyhinYLHyn9uce0qbhq5L3B1oDfRQdN40DK5vFih2W1GAlDJb63Kshq67+dVNh4fro5FybWdhfZjEVU70hHaKPNPOtX5i9wBo9S+q9UG+INvgZHI3Rr/cQ0aLOM96QnbUn6fq7ZJFO6I2DZK0/QRMk2AykZOBHcClJkDG6yFiM6BMUUhKUlJSruyqQDqyozqm4vsxCiqYGt9+oLOvYUgW2Kd9IG3MNmiL5FSCS1kmlsZWPo7Stv1cj4EpOjCJx3U+uktsGSiYyNldmElmZc9nJPXNI8gBYuFSdSJhNBo4aOOOj0MFZu8Bs4JwxY0YRrq9kYUFsBrQxCka/IoadM6xOocOSeIbKtKTyMRpM4699U0gW9pIhV3MWmwx4yt5jlRMkDHAvUYh2TIyHluQonzEnMkgakDahHtF9vVH4d5deA0DjRqeNk1JtgG6ZvCae8dqgd5dK1aMNyqIuKGsziWN/mcWYN0QbEGXWqd4Q8fFZO2VPCSkIt1pit6LTVOkVLa1tQORt0M98TSo1vCFdnVmDv2XwHDEKg6lfn9LKa32MFgdxwqCnLgcbHYtjg2FGaoZrmQSrRvCqSrOmlF7dYKx+I3q5N7KK9+RnlQII8zgqoVo0TFhWdTj2v54uuS6mp10+A3edvHJN94wdOV2U5oLiuhw4UXsWrg72FD2PpRT7yyymekMkpNtx6uheWK1l3c9dLynDqp8Nm0Uw3FneEF2maAPSaVMwFradIyJ3X4GEEvqidGCMVM/eG6MNqpJTDklosk2t6w2l1znu2CGEW99qMAEZ7j0mWTA6j4q8H4SaCU58NCFQi+NArHVTYd1USbj3lIVw9oZZ0OEh+Hm8XkFzUIFc5mGEhahZEpgIy64NeKp1W3xjHMro62D1G7nmecB4p8VkubaKxQREGju7THbIq0EUXwsG9aFOpsuyJA0/6nX0U8O9xCMkgPSZVKeVVj1xT3RN3Rq5Tg2aSbtDq9brIUfqZt12oIOjFc78ehbU50ctpAUnfhPXqaBDvMuFa3Bet+qAIw7nXrqoDCNsRRyEl5vLczw5PQTQr/kkDbfOMZouVkPPOj2uVpEqcuhqnDUVQIjmjTQgLFxtuE7LsR/MghzgYl7MCwdioLlzAwDgHj0T+dXt61ZPXd3sH2f5eJV0ZKqFhVkuhEV9x/ISXX1IZhjB4eMm1V1Fh6zO2oLd+TKlN/PBy3r8ilXEQGNsUuxxcGJxEiRtMxo70hWzOO0+4jMjs7YRcJ6ZjY7eAnKT4jEsn3K8cE1XF+t6/PMa7+hM3h/WzuylhcXJSHcwGO/yhHD30a3RdTAH9tLGu8T9ilVdo8r8RMD540OAGO5xT+Obj9+fuGllPIdWN+6e3EzoOFuXs4DZGzJjxowi7IdksSX88nkbI6On6pFz4ziBnH5slKttDjuIpZkGSw0xkDXe5p51i9djljc1j6dBhzTsoH2Thd0NI6qe7+rVCdaN420bQicdWso1N3FNezw29YBIXF9moUVj69oQcqqBZBw6TyfeRuqJ1sP9LZaYbn8Xcb4mvj/YUnzezk7AhopCoswkLaMaJFqLotv0ushroh2YkN/uVaYLu0xpZ/WL45pED2Eor6/f20cybd6X1SfK53ZOM4J41y/mPk/c8bnP65Bely+iakcOrvrkZVWjblzkeSGO19LwTGLhGlRVk3qLJ7Tl9WUWwejYL8g7yEAKygKkEU90BmXglMc5A6cd0WgbJ0Nn5vjlmYOBzKtHNKWry2cITWPdY9FjnUuG0xkApYEzorEEu5CatLXZG6Akrf56JfJ6JiHdoSLr2EDMovzWANnfUFUNmobEu+wZhV6S37kGzjFWqzheQtss2iIoMfZ6l2wOknH4YiJzzoR3cH2ZRYfBDXOGoI1ioby+LJMBsKrGn1tShC4TaZm+Li0eD6pAGfWEGiRt4NNy6oyeuGjm00xYfrBD0pO8z2jvKSoW+V1yEtoUd2Xkh8uaUjqEOzQziVMQQSYN63WsCDTWZLy0sPBL1C/JH7w4Ug1Bx9CIo+9kJTwwoW7hjtUGznXtspsQlWA2cM6YMaMI+yFZ1DWa+w9Ax0chiU66mIt37wMA+GMfAgC4hlE9b4JEIfcHOXj3abj/+eu3UxuBiNlw6/b+RD/vzo/u14lNgQl4+qHhJmuWB/09OSkCiGkTEsHRve655FRpkdfbLJ59yB7lssgaHtqf+qgbxVw6gie3ClE9cS2f2HRJW4hv19MPNPHNUR0iM3G7AVA18sCGhCbVNnDsHpUqJwDUHzqzdUpZlkc30q9fWuD20aovU8VT+DQXJIYYPv/TR8fduV31ax99AAB4/PJRuOfV4ydhXc1Aljr3cMT4+Ev32ucUbX13Wb5vyH4wiyuApbubRq1sAd1Pg3JDHSFhQLJ+i54shhiRzCM6So4mfU+JXQNI2yswSEtFEum9Kq9vNiqVlVjqkKZNy8qSJnUted9MrQ2D0YZVy926vOHHM4PKh3e3JIT4BteEc+f8mpe9SuCZSFBCQhBQ99vYwn4dgrL6dS4adiHQykOfe8bhw8D9GhiyeUrxnmUWVqed5F1So2TpPbnsk9202g7gabIYBpB2sA31Vk/b4HMXM9yBgkyjTEE9Y9KczJqU10tVnOPWIjJUlh3N7VCBUiyuZ8kd+ZDkwr7eJOMnhTk9NyRjfPHh3zIMfMrn+2LbLJR3IDxtJxJvFEchPQN+wNMTnQbuZbK/C50+yoQ0rfpZfX0OUZh5kG4opaeU8RXRpv9KINtTPo9/WbqsHGOQf5KejKYTpbmWo7tFo2hQ+YhRLfpoXj+BzC/ZL+dckLieI9f8IBWkdELkl/Zvf/2fPpe4WbUqhwOHv1my8NAfiKEiSylwVPSXZYp8o1Z0ce9lSxb+uXLqT+KpMUwOOVosm0XuAWW8RuyKlSJaS2y0AlcUr68JMyrK2SyMaybTrtuRpFk74ZmgpG25oaD7MxBUDmaKzgE/2sc2i/CrOXWmsX1Yd7ygThMmh3noc3n/83qJijhadm+WLGbMmLFzvNiSBbCVbv5CwJBmLj2EfBNcNY3cSRQvELbdO+TFZxaFmKS3S5F0TIe+LFh15wyeQ89Y4A3JhURn3cXqWu8NQSp+5/SkUoPKtoZXqfJYap4oy08ZJ8RzL7zXIng+KLUNhNyFric/B0TbPbTKkTVuCm/Ipov3Xh9mEcXKIrbyF3SACJtuAeWhPySj7c05FaJzEexjsxzjvsS+Yn3com2U8T6l3f/K1at0Hp2sXMbBMGm1h+ttO7FBeMKHO2pANrwrhD6kW38ngTEY35XOy4j3H+G442qbhNyno2YKi/L6e5KJXTm7TIfKNW2ZrgllLFyDdeOiBX/1PqtybkgDSrY7HFoMWGMvmQUdHqafEBF4WbWBVVZHHbCMN8uucQYsNMUGTvNmoOlaMhooLWu7oFeOsGOGT22IJP0xF0It2SgK7W2MSVBW5jlYXRtsum0lMOHWHMhk5/GMQj+bjt/waTk3J1PrJRH5kghy8QEEAyj3+4okfLhQpLW2OVw3rcdjLS7kgrLWjQO6dy+DsqaslDUbOGfMmFGEvZQsdoohHVpmM3TwwTKFzaL43gEX5uQITk9HpnwA/cQyjshN7tFlXl4EJ+wGSdQ8JQHIh9G0bRPB2RCoaoK9QS4G3EfCtmnejVl3bXvREZxNp3vKeI2pEZwLanDWVO+NCM5J0ZIenSoSl7OFVdhyi/tOetnGc4PB6OsmXcLWYK05eqkQunpgusK+4fNs9c6m0gLAVfEmPWFNTGG0dFVzqW0W9jA1NiUqwaFb46ypkmnrpdgrZkFH3UQyIqCO5+nLNTndea3nGbW/tRqd/OG6/ZVrdPo1J5PRqkN1VocPNJq01iCxMchBsT5sryyfWFa+tB4NT9fYaO7ODUNexuRuBk8p+LU/i9bFHHiOxdO+vaJbjM5e3RFpvkxtkPXSEQGLhxt+rqJtlieGtNBh/dKiNe4SsNaMuMvn1/atRRs8vnsrU6/6SKMC4wrcSRVIsvDwxnFS1tfuvZrsmGGdA23ag9s3kj1YT+vyNt0PZuEc6NZNNI8ehyT+rm8DE1D5Dnve9nj6xj08+dFv79+DmJ1ZH/XiV9uxGez6PS6O7varh3/zh2+35XlRVEkMh7ddKrsTUB8g+ZjlSHjjbnvw9qdcb/2POIsoUx537/DgoYufS8HT2xza16MVxPXq1PJZFI7utr8n33c2zKkAgCns0aG5EJ0sTPWJndz8pGOIB+VC8MHdCu//vrspSVFEY7p/KKMVwbnzSNx91HZsv3qVcxzWo7h9tNIOkL4elebPH9+9hc/94P+D887C3e7Z0WDNFRbk9wrpX4pXC6Rq4ojx5pP3AwDOm8q8/tLyFI4Yf/bgA0EN+Uef/B0cUI1ahXXX4inkPqgP6xtYcYWlWK36Lw+eohT7wSy2wSaWdYVgaCcUh27LfMX3DBn0d7E2JBu0jEkzJfX4PNptSIh3Xd9GJM9IRRb9shPJkZK782Tnrk5sP6+rxC2sF6qRsztzIds+n4dnFEC7szm6WIY1tx1/1VQ4dO1g59PAsVdirTq8dK0OrZ/5tDnE0ovOSL0hq66+JdU45SUqNDjlZVJOCWZvyIwZM4pw/SWLXaLApqDVFq2GRGWJe8xy5PGExWutOvqCxXEj8o2oIX2ZlM+j1SldruFJGUUuP6fH1orVye7kIhgq3M6USAZmle9MucQAABXfSURBVJ00IX81Sf3GP/0L95GRHn4Hcx8p6VQglL9niiTWdDEk7bN0aexQoUlml+pzoFdN6i3kg2vLLMJ7tAx76I1slrHNLKsrZ7LrtCS7YbNIPINTRfgxRiHThNuy6J5cntDZpFVZpG2jEmo6pHFAles7vd8vNASEEqPqmIUvrhauxoVrgvGPu47nF9eNyOjuj2wWitFIcp3Ymq0ixoJq1LxoGUJHr99qUDIQdCqDjPa0VI4hJrekOqgavlyLWQBAhQYrXkRqyxSMshki+mUieoeIvirS/ikRvUVEf9T9/YS49k+I6GtE9KdE9Lc3oqoAIYox047e+l7icgvldDaLIRuEZCyBuXS/piHTqkd2BJ+vyT+LTbTxx+pPjv65P92GxPk8DXV/3TGJNOXFmPwcFu1KepEb+3pJoW5cOGcmrOsKq7rCeffnbRCOONgseg9BvCo3deX5iEsfSxHmenR5fD5vt1hzhapjVDUTzpoFqo5BNGjPHTiKb1hzhRU7nDULPK+X4RksyM2O22dB99faH1qG0wRGIc89KjBqOCxpjRou/E1BiWTxKwD+FwC/qtL/JTP/zzKBiL4bwE8B+B4AHwHwfxDRJ5l5eL3ybZCRLIruA/oOT3H6aJCVNsBZHgAyznPqQM7cPgVaQimRgKZIFhLOSxalxBnlyUbOlWOky5FWHkf7ZxijcWXEJ+ixxKsXiSTRMRxvlAxqSCdJeMNlRSx2N+8+eye8IKLMBUF07liy0N6Q9i+mvwIDtI48HhXFXc2fV9QEL4hDn2fK6xtlLcz8ewDuF5b3OQC/zsxnzPzfAXwNwA9NoGfGjBl7im1sFj9HRH8PwFcA/ENmfgDgowB+X+T5epd2cchIFaM2C2WADJOovE6bYbnSzSrvTQYyw9inQ6MjA6eSbEZhqWCW3q+lntF7DNuDzkMin5Jksuo1Ux+m0YhGzklShs1iTJ/3aoFeWdvfF03NZr/wbZzXUb+hoDacSvtHqJcJDTusQnxEKyWsmioais8692qwWYh6pY0h5zJds4Pr6vcGzlNeYknrxGax4r5bV52Ve8UVGqbEZjFFKN/UNPqLAL4DwKcBfAPAv5haABF9gYi+QkRfOW+eT7w5cywwarMQIrtmFED+o9fGSJbfvaKL1Z+0WTChbX2n7hsyRsqy5TqVUr/Xz8h9/uw9knG6AZuFpNGXr+nKMTvHfRs5bv+kfcR4xkg1pFaNCFO1iRO1gjrR3dsdfMdeVjUq5+d8dKoHtQFZ8vOQor+3iUjj40LUHWwM3bVDt8ahWwdbxaFbY0F1Z+wkHFerKM1De0kWrgn1RMfU4LBad8/f2iyOaIWGHY7cKvwBbfpNd4YjWmFJNZZU44Y7A4Dw2zdzObvYiFkw89vMXDNzA+DfoFc13gLwMZH19S7NKuOXmPkNZn7jwB2b9eRHKTtfMHpOBOmOYJS/SbmjyHXCKfdcJrQRUqdddPVsL3prIWcwlAZOf75r1Ea9OeNlzRQxDEn3kNEzLsOFP5kGtC7T2uTG07ERsyCiD4vTvwvAe0p+C8BPEdEhEX0cwCcA/MF2JI5gVy9bjWI7KdJiMkPlT6jXZF65ETpHi0GP2Xm0pGGM+mbdmqlY6aWwDMgZtURLBN5Too2WyTwK9CqMX90qegSm3llD/eK5Po7Cd3ovXXhI9adfhbsJ15zxcJY6UivmUcNe9t8zCMkkGrQrf9fdb98+5R/dqM2CiH4NwGcBvEpEXwfwCwA+S0SfRttubwL4BwDAzH9MRF8C8CcA1gB+9kI9ITNmzLg0jDILZv5pI/nfDuT/ZwD+2TZEhbJKmJ6wkU3y8ce2ruTYSrNoyxo4rSqH6NMGTssGIa8X1LFz1UkEYOUmksX5R8qbHJRhkKTcqE3360tmIDJwyqCs/n5hyJTkyXqgDJ7iGZywVsuJZIEucDBiyolk7XjfSUPqZWvXaROMXDH0RLI2noKic6BVS9qgrHgi2ZRPZK8jOIs+dk477NRvUHpDSKdhw3Kl0dC4P/GGaHFd3c/y69+RmmRiyBsiHoDD7uOxHD8UKLctZOfx57L7NCofgKB+NF6FiEYWLraBjNEV7BQEgF277qZRdO/5aMR5qkqUTiSr2WVnmQJ9mLdO3wR7zSyG3qN0NVqSxeRwb3Wckyx8J5dMZdBlCPs5kvK9JDGSNxoyjU6dGGu1hJJjBCWQXG+IQ2/CVPU9Mn2gbcOiNAJRuDd62waht1Ew5MzSNjGskOWrNcQ0a+NjDR/KHblEocK9EQdkDS3TH64z0rkhVMfh3blwb2qlCulWnYq9YRa0XILRu1CZAF5WSELsgOQDapbUueSmWAi7esSxNtzJwQIAMiH3WQzGTqi01mhm3KM6E29Ax2RoeoPRz9PAYaVrmQZQuwu7hxTNqM1lll8IPUciuDHFecNtWHZY8bpxWHeqws3lOd6VqpThPt0VXe1vLz34iWNyvgjQMoo7i+cqPVZDFgPzD6x5Hg36OSK5rQE2wX4wC0dAFfcAXrTnzZ0bbZanZ8lt4fZ168Nf3+jLWDxrgIbbsj0rFssgB7VNdUbftn6RG51n8QwxI1GzTqvzTiddVXZQlu94DcV2j66ThWXuKkRraAZaGgCuo8OSEuSHb92fkSzCymFneU4UbqVenB+U27QkolCdpG2Uw+IZ4fGzo8E81mgfpAUmPDk9RCN3RnfAalWFtKePjmOJKbHBpLqpO6nw5pP3R+tRyEV4cvDMoUE778OvWLXKLL/+V09egiPGg8c3Ag3/5fQj6UQy2FKKA+Mvnr8S6vN4Wn81yZunecaMGTMKsB+SxSbYpZFPjr6FHogpK2VFg1F3ktgsmMLivyGvpcYMPDc1xmBopOnrKcH5/O09BB4SCRKJzM4bGUOzRtX+eMwY2QZtpZprWA27QSTtxB6RTloKK2ApaYhJSW0ukHmupAEZVOV/F67JGipDePjIs9VMEd11F2YuJZhVRqKp0YecR+UO1qronJB3xowZ72FcX8miw9aeL8u42Z1rVXtqXcX5O12YKR4VTVWfdvDMo/So88TIytF2Asm9OfqGDL4bwPZIUBRdCcQejNgg2xmVt3Qr6tW6ZHounz7WWFAT7CBDBk5HjEpcb8JU+SaOv9iBofPaMwvLDrUR9Pvi9JueGuRUHJ8R6STifpkmxPKL5hVJNNJYHn/u1bgxVW6HcRjJ0neReyvNG8VZULux8bYf0NCiNf5XM5SxOIq1crsO1V0Zl/WK37vArIbMmDGjCNdesujjEnLWyQJkDIkXroZYvlUhQYT6DbouFCXl6+YuNMIWl2/dpgKjZJosPKeGyJgKufnOrtWQnOvUUkP89HONhVjk15poJsuU132dWg3ZBfaDWaxrNPcf9juSOUL1pI2roG/cAwA03/YhMAHV6jaqUw4bB/lNhNgRjt/ug7qefMsNQ0Xp/fRubQQKiA5w424TYh7CZkEOePrhKo3olFqEW4T0rKjur/cKdMDhPU9gd0m5/KluYzCefYQjT8ZoaEAmzsJ/z2Gn+dKObHmPCFieOCt6uY0bUWrZ6sPn/cmIN6Q5XODmog2OkTYIzTgateNWuxxe084RaRzOHx/2Fytuy+8W43ntow+ifUdkZ2+YwpoY/hxodwp7adlvXiU7uL9/zS5hCEFF6fL/1ZOXomfT+B9e+ws4MN689Uq49/WD+8liNjVcWPDGnwPtwr6fOvqrZEHf/7goX0tmP5hFIabaDNqb+s4+aEOYYnwbEGJG4pASySHco919uftVnp1BujkTjmPkH2qvXJoylBL1I3wJQrE+sE0cA+1EMe3SJWoXyQlMQF73DS/S/FqbfuVwDz/hK3RDITlEEkR3KNfMdExYupbR9WtduCR/fD2Gn6AmpZMl1d0ivGJiNyM691LHAa3hqOnW7RTBiROkqr1iFnTUcX1HUbQlADRL135dL99soyQb7vP6SE15DwkXfvdeVrfFbtOeoaoP2KM6b2DtdYpGdWLl1193wsvyCWyGokZMfRz2OhXbMkYSSRcx6s4pUZHGgg6HEptlW0/12Nh+MCchGZLF4kmGgxnMYvWyiC0YkSzYMU4ettG8kQoh+36G+VC3uDAz4B73n3yQdrrP5vHLR1kVR+9QFvIx4c8efCBJ1/f6Vb20MdPnf/D4RijPwpu3XoEjxvP1MpTxfz36BFZNFRgRgGj+iT8HgCU1eP34QZfWSxbPmq+Z9VnYK2axc/TvcxyWWD1QpslkCAnTiW7lgeLHOmghNAPJPrvmCIExFtLCA9emYMxzIrNKTwY6W4N4QH0e0pv4vlCNelYZ1JULHZfHzjWdR6VPD2MYVFpj2w8a/UyZ9vSrZklbyKrp1tVMgsLS+1fdb80unpU7wYA0e0NmzJhRhP2QLCoHd/MGWOyivn693VV6UXd631lrxKneehfPvvPjkdExGMEWN8L9TEgmeR3dPQ/X732qzZuzY6xvLPrZnUKKaA4QbTUo5x0BwNH99uDB9zeDBk5fXpTOwPmdrlKlhgRja2fgrI8aU12IZitzX0ZkH9E0ATh+pxNXP/kwWdU6jWXoPQ5abH/y8EYiAYA4qAKSiMPjVbhfj6jSa0EErN4+xmc/9WcAetHai9tS1F4pD4Dcx6NmwpuP3x+uLatWfF/V7cj86vGTMFPTmrG5cA3WnYTgjYRfu/cq/tEnfyfkkYvc+DUkTnmJI2rHdr0eps//X04/0j2LPX6/fnAfS6qD6gEA//ZbfxenvMYRyY2ZayyplzTqrmGXVOEb9XMs0UsZAPC/L170XdRtaXM3KFFdLHuD1Qm1qkLqvkhlYJD4kLSBUx+b6oKmWdBGMm3gHr9eZZRFGhQFMVIkZvRivAlLPWDqtwVQXEym+2OLSSypiZ5hGbYDbDv6uqkCoziuVtHCOXXjAsNo0xwWru7mctRYN/ES++umX6Ni4bxnpl2t6mnT2tsqNGHHcnReCrlcv6fLr3BVUY0lrYNRst9SIHazrniBGi6oHgBwymvcokM8534QXFKFU16jAqEGY4luJ3eusQRwysCRaC+eYGG+nszC6Jwl2xTmEH3HUQemaPGcUIeuf0zv9sdNnOYt98QEsvRpSg2XhN4WkTyxJbloycK6R8AZHgVWEkHTODjXhIVifB4ZTt0WLcpxHFyUvTeEe6eAliz8lH3ujytF19LYcHjFDhUYTrTngho4ENZN1btF0e9QJtefWDdV9CvRShbtsWckRK004N2XDbtu6bp+p7AVVzhyq2T17RoUmE/PTPyzNiEys936sGUoS1cHhnJECzzncxzSMpR7xqsgaSzRSxaHtMAK5ziiWLKgCf1mtlnMmDGjCDOzmDFjRhGupxrCvYobzAJb7BaTi0/QsnFbB023WUjbhVBJSEZwKrbtDbTB3GHZLybYLHIRnEkwGJDYLDRk2HW0z4a3WVj3N31zhnfHck0JRYdI79dviG0WK3amahJXS2FB3UNXhy0OWzra8voJX8M2i9Z1mdos/L1xXhc2JXbU4Jxj92YFjgKkXFBZPC2y7na/D3ActOWNmWfcKxZLqrBiGZTV0nXG62Dc7JWW95rNoiQ24iLrR6Z+q7+xum51bn85scmIqqXBVN+fsVlk6dK2Ak2m8HjoX8sbEs21kLYOZcD1+T1BY94QIPV+6PPWEGh7Q0DAmYpHSOduDNsstOHU0yk3+9GbCAHAiheJN8T/NuzQQISJZ8J2veG0Ig5xFN6YWeoN8YxiU5vF9WQWLxpynV8YOC+VnIIKS/JkCd+RJ8u7RLV0AcTG0LCvB8XbCETXLxhDE7usRXVl/qG1KKpdNWYBZmaxDxhQZS7vUxDVZkKedZ5RhpEL7thR3/SjsZQsPKT00TAF96m1dkTJfqLbYmgGqLV0v7VvqVkuOFIrLhLXk1lcttqxaf1SVYI6LlVd/KUBFWXw/rF+YNgsonOjI1lTxf25abPgvK6YU5mHNi/WkoQ8t6QMj8SewdY08ib61fl1PubW/rBiHXLd2yz8LFC9GVAdVI/xVaxqtNsJSJtFzW0cRS0ayMFF54GebvezGso8NsFmMXtDZsyYUYTrKVlcslEzCQkvqJ+JR41HISgrN/wPBGVlPTA5o2dOojFGbb2TtZ5J6YOydJ5hAycSSaudsOXvj+u0DJxyrw3znBirJvaQOHDwbDSgyGaxSIKy0kVsPHz+Ptzbt0l73Udgyu0Cva3BB2kt4Xc39XuPpt4Q3/baTrGkGge0bkPaQ1rr+TgUBs4zXkcGzqaTatrArTMcEOFcNPb1M3A2DfjZc9CN45DkTtsmoUcnbZZXb4EJcHduozrjaG6InwNy8Ki3856+cpTYAs7vdNodAVW3Z1FgBHIuBoCDE05Ubibg5GVl0WegqcI7x9lL3Yd76tJl9kn0nwbgbgc1T39bb2clr3omIZmFq9tr6zuNLUEK8pgBdhxFh+o0v7nReUf3+elBtuPKMoiqZNl9ZgAnxhR3IF7g13ewl57Hi+l2WSrRaf0t57eXuHd2sy1K7vQlGtkyVHpVY91UWLgad09uhmtV1bKZdbfJ0MdfuheMpjerczyv2+/Fb8zTgNBFT2NBDQ7dGg9u38DD+kYb3u3LRROtM9Ew4WF9I6LRqyZeffmL568AsJfrBxAWrvHTzAGIuR4i3Buxt6NXHc7w+uIWnjXnqMTOfW5UT+2xH8yiEFON1lb8BAA77sAyMuo8ZJdJTdyxk/uteofcmZvCaB+qKXHTUkPxdXGv3lUcMNRaJjDYXE8iK3UZzyuzMvfLsKyF8VQaUlNXZqrrrxP3aD9XpA33jslgxAzPu14frw8jCWXFLrJ5nDUVzpoKddOGd/d2CZesXrXiBW64s3C9TavCNWB4UV7/HHJHdADmXA8dR+EllQOillEQRXEYUz69a8UsJoHVb+66R/hyBvKMMKvcjM6oDnmNjONScKZ8WY7cvjCHRGpIJ4MlkoVgFIlkMdTeI04RH7eh4ze4mwwjZ3QCqWQB9MFSHv06EG3AVWQ4Rdc8XZqfmOYlCRmzUVE/cxXoJ6y1x3UkWSxp3Rkk63Cu535Eq1theJ1N/6zo3Kle6loByVyPnGRxzozKURKHMWX8nQ2cM2bMKMLMLGbMmFGEF1cNEWqF6cbe0GYxqf4xm4VlvygEO45sD0n5vtwuzRsyqSFlLOiy+l/HaFS5liHVqyClNgtJL4sp52Eze7GOBmdsFl7F8GK4n8fh0Roy0/FvIda/lGqTN6T2Ho0mzDfRNooGhAO3DjYRPxUeQGLMbMuqgx2jQTtFHejtDXVmnM7FXCzFuhcr+CnqrWfjSDyUPvcxF0fUxl8c0lLNHSn/+GjKRJKLAhHdBfAUwLtXTcsl41XMz/xewD4/87cy8wfGs+0JswAAIvoKM79x1XRcJuZnfm/gRXnm2WYxY8aMIszMYsaMGUXYJ2bxS1dNwBVgfub3Bl6IZ94bm8WMGTP2G/skWcyYMWOPMTOLGTNmFGFmFjNmzCjCzCxmzJhRhJlZzJgxowj/P3v8Vu8GN9TfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.593005418777466 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1.0} is: \n",
      "[[ 17.  14.   4. ...  20.  20.  20.]\n",
      " [ 14.  28.   4. ...  20.  20.  20.]\n",
      " [  4.   4.  17. ...  33.  33.  33.]\n",
      " ...\n",
      " [ 20.  20.  33. ... 585. 585. 513.]\n",
      " [ 20.  20.  33. ... 585. 585. 513.]\n",
      " [ 20.  20.  33. ... 513. 513. 567.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.402854681015015 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 10.0} is: \n",
      "[[5.300e+01 1.400e+01 4.000e+00 ... 2.000e+01 2.000e+01 2.000e+01]\n",
      " [1.400e+01 1.000e+02 4.000e+00 ... 2.000e+01 2.000e+01 2.000e+01]\n",
      " [4.000e+00 4.000e+00 5.300e+01 ... 6.900e+01 6.900e+01 6.900e+01]\n",
      " ...\n",
      " [2.000e+01 2.000e+01 6.900e+01 ... 9.045e+03 9.045e+03 1.845e+03]\n",
      " [2.000e+01 2.000e+01 6.900e+01 ... 9.045e+03 9.045e+03 1.845e+03]\n",
      " [2.000e+01 2.000e+01 6.900e+01 ... 1.845e+03 1.845e+03 2.385e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb689026d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.69613790512085 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 100.0} is: \n",
      "[[4.13000e+02 1.40000e+01 4.00000e+00 ... 2.00000e+01 2.00000e+01\n",
      "  2.00000e+01]\n",
      " [1.40000e+01 8.20000e+02 4.00000e+00 ... 2.00000e+01 2.00000e+01\n",
      "  2.00000e+01]\n",
      " [4.00000e+00 4.00000e+00 4.13000e+02 ... 4.29000e+02 4.29000e+02\n",
      "  4.29000e+02]\n",
      " ...\n",
      " [2.00000e+01 2.00000e+01 4.29000e+02 ... 7.35165e+05 7.35165e+05\n",
      "  1.51650e+04]\n",
      " [2.00000e+01 2.00000e+01 4.29000e+02 ... 7.35165e+05 7.35165e+05\n",
      "  1.51650e+04]\n",
      " [2.00000e+01 2.00000e+01 4.29000e+02 ... 1.51650e+04 1.51650e+04\n",
      "  2.05650e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADeZJREFUeJzt3V+MVOUZx/HfU0GMRqOUliDa1lJiov1DZAMbogS3iVXTFLgRvKjEmKIJprdgb/TGRC9kE5MqwZSIF/7hxsgFLRp6YRNjFRNi0dQ6KEZ2kbWlsY1YdPHpxZzFYXaGeXbOmXnP7Pl+EjIz75yZ85wz7C/nvPOed8zdBQCdfCt1AQAGA2EBIISwABBCWAAIISwAhBAWAEKSh4WZ3Wpm75lZzcy2pa6nV8zsqJn9zcwOmdnBrG2+mb1iZu9nt1ekrjMPM9tlZhNmdrihreU2Wt3j2ef+tpndkK7y7rXZ5ofMbCz7rA+Z2e0Nzz2QbfN7ZvaLNFV3J2lYmNkFkn4v6TZJ10m608yuS1lTj93s7svcfSh7vE3SAXdfKulA9niQPS3p1qa2dtt4m6Sl2b/Nkp7sU41Fe1rTt1mSRrPPepm775Ok7P/2RknXZ695IvsbGAipjyxWSKq5+wfu/qWk5yWtTVxTP62VtDu7v1vSuoS15Obur0o62dTcbhvXSnrG616XdLmZLepPpcVps83trJX0vLufdvcPJdVU/xsYCKnDYrGkjxseH8vaZiOX9LKZvWVmm7O2he5+PLv/iaSFaUrrqXbbONs/+/uz06tdDaeXA73NqcOiSm509xtUP/zeYmarG5/0+rj7WT32vgrbmHlS0hJJyyQdl/RY2nKKkTosxiRd3fD4qqxt1nH3sex2QtKLqh9+npg69M5uJ9JV2DPttnHWfvbufsLdz7j715Ke0jenGgO9zanD4k1JS83sGjO7UPXOn72JayqcmV1iZpdO3Zd0i6TDqm/rpmyxTZJeSlNhT7Xbxr2S7sq+FRmW9FnD6cpAa+p7Wa/6Zy3Vt3mjmc0zs2tU79x9o9/1dWtOypW7+6SZ3S9pv6QLJO1y93dS1tQjCyW9aGZSfZ8/6+5/MrM3Je0xs3skfSTpjoQ15mZmz0laI2mBmR2T9KCkR9R6G/dJul31Tr5Tku7ue8EFaLPNa8xsmeqnXEcl3StJ7v6Ome2R9K6kSUlb3P1Mirq7YVyiDiAi9WkIgAFBWAAIISwAhBAWAEIICwAhPQuLmV5N2jAEujLY5mqYLdvck7Do8mrSWbFDZ4htroZZsc29OrKo+tWkwKzTqxGcra6uW9lu4Qttnl+ki3WZza/UCDG2uRrKvM3/0+f60k9bZNlkw72z87jNUn1n3vjNZEIA+uSvfiC8bK9OQzpeXefuO919yN2H5mpej8oAUJRehUUlriYFqqQnpyEVupoUqIye9Vlkk5Tu69X7A+gvRnACCCEsAIQQFgBCCAsAIYQFgBDCAkAIYQEghLAAEEJYAAghLACEEBYAQggLACGEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhAWAEMICQAhhASCEsAAQQlgACCEsAIQQFgBCCAsAIYRFky/WrdAX61YkWW/ZNe6bU+tXTmtLYaqO5rba9mHVtg+f83xt+3Do9XlriLzn1DJTtRa17l4iLACEmLunrkGX2XxfaT9PXQZQOX/1A/qPn7TIshxZnMfkyPJKr79bkyPLB7Z2tMeRBVBhHFkAKBxhASCEsAAQQlgACCEsAIQQFgBCCAsAIYQFgBDCogBlvgisU22pLwRrpQz1RC7uynMBWAp562UEJ1BhjOAEUDjCAkAIYQEghLAAEEJYAAghLACEEBYAQggLACGEBYCQOXlebGZHJf1X0hlJk+4+ZGbzJb0g6QeSjkq6w93/na9MAKkVcWRxs7svc/eh7PE2SQfcfamkA9ljAAOuF6chayXtzu7vlrSuB+sA0Gd5w8IlvWxmb5nZ5qxtobsfz+5/ImlhznUAKIFcfRaSbnT3MTP7rqRXzOzvjU+6u5tZy8tas3DZLEkX6eKcZQDotVxHFu4+lt1OSHpR0gpJJ8xskSRltxNtXrvT3YfcfWiu5uUpA0AfdB0WZnaJmV06dV/SLZIOS9oraVO22CZJL+Utsp9STQbTz1/D7tap9SvP+fXv5rZUNbVq41fUi9f15Ddm9kPVjyak+unMs+7+sJl9W9IeSd+T9JHqX52ePN97MfkNkMZMJr/pus/C3T+Q9LMW7f+SxF8+MMswghNACGEBIISwOI/JkeWVXn+3JkeWD2ztaI/ZvYEKY3ZvAIUjLACEEBYAQggLACGEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhAWAEMICQAhhASCEsChAitnAozrVlmo28/Mpw0znkRm388zKnULeepn8BqgwJr8BUDjCAkAIYQEghLAAEEJYAAghLACEEBYFKNs4hUadakv9K+itlGF/Ms5iOsICQAiDsoAKY1AWgMIRFgBCCAsAIYQFgBDCAkAIYQEghLAAEEJYAAghLJqkmmaubEOuW2kcGt54m7L2Vus+tX6latuHVds+fM7zrYY7F1F783tE3rNx/+UZht3PfU9YAAhhuDdmbGzrKi1+9LXUZcwqY1tXSdKM92vez4Lh3jmkOqwepNOQxY++Vv7TkNFh1UabTkNGS3oaMjqsxY++1tUf/RX/ODPj13SLIwugwjiyyIEOzvbo4IzVQAcngErjNASoME5DABSOsAAQQlicx+TI8kqvv1uTI8sHtna0R1gACKGDE6gwOjgBFK5jWJjZLjObMLPDDW3zzewVM3s/u70iazcze9zMamb2tpnd0MviAfRP5MjiaUm3NrVtk3TA3ZdKOpA9lqTbJC3N/m2W9GQxZQJIrWNYuPurkk42Na+VtDu7v1vSuob2Z7zudUmXm9mioooFkE63fRYL3f14dv8TSQuz+4slfdyw3LGsDcCAy93B6fWvU2b8lYqZbTazg2Z28CudzlsGgB7rNixOTJ1eZLcTWfuYpKsblrsqa5vG3Xe6+5C7D83VvC7LANAv3YbFXkmbsvubJL3U0H5X9q3IsKTPGk5XAAywOZ0WMLPnJK2RtMDMjkl6UNIjkvaY2T2SPpJ0R7b4Pkm3S6pJOiXp7h7UDCCBjmHh7ne2eWrakMus/2JL3qIAlA8jOAGEEBYAQggLACGERQFSTPAb1WlC11QTFJ9PGSYvjkyim2ei3RRa/RTCTHCJOlBhXKIOoHCEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhEWTU+tXJhluXIYhzp007pvG25S1t1r3qfUrVRsdVm10+JznWw3PLqL25veIvGfj/sszDLuf+57h3kCFMdwbQOEICwAhhAWAEMKiCR2c7Q18B2eLjkQ6OOMIiybjN5nGbwr19xS+3rJr3Dfjq21aW5KaVk9f9/hq05ENO3Rkw45znj+yYUfo9XlriLzn2f2X1VrUunuJsAAQ0vGnAKrmyr+k+So51XpnorHGK1/1aW0pTNXR3LZE9017fskL9+lHer3j6/PWEHnPs/svq7W5rm7X3UuMswAqjHEWAApHWDSpbR9OMmvzIMwU3bhvpnrwU+2vxpqmtY0Oa//4Ie0fP3TONw37xw+1XDZ3DU3vEXnPs/svq7WodfcSpyFAhXEaAqBwhAWAEMICQAhh0YTh3u0x3DtWw2wd7k0HJ1BhdHACKBxhASCEsAAQQlgACCEsClDmodqdaks9XLuVMtQTGYKdZ5h2Cnnr5dsQoML4NgRA4QgLACGEBYAQwgJACGEBIISwABBCWAAIISwKUIZBRO0wKKs7DMqajkFZQIUxKCsHJr9pj8lvYjUw+U0PcWQBpMGRBYDCERYAQgiLJvRZtEefRayGyvZZmNkuSb+UNOHuP87aHpL0G0mfZov9zt33Zc89IOkeSWck/dbd93cqgj4LII2i+yyelnRri/ZRd1+W/ZsKiuskbZR0ffaaJ8zsgljZAMqsY1i4+6uSTgbfb62k5939tLt/KKkmaUWO+gCURJ4+i/vN7G0z22VmV2RtiyV93LDMsawNwIDrNiyelLRE0jJJxyU9NtM3MLPNZnbQzA5+pdNdlgGgX7oKC3c/4e5n3P1rSU/pm1ONMUlXNyx6VdbW6j12uvuQuw/N1bxuygDQR12FhZktani4XtLh7P5eSRvNbJ6ZXSNpqaQ38pUIoAzmdFrAzJ6TtEbSAjM7JulBSWvMbJkkl3RU0r2S5O7vmNkeSe9KmpS0xd3P9KZ0AP0U+TbkTndf5O5z3f0qd/+Du//a3X/i7j9191+5+/GG5R929yXufq27/7G35RePQVntMSgrVkNlB2X1A4OygDS4kCwHjiza48giVsNsPbIgLJqM32QavykUtIWvt+wa9834apvWlqSm1dPXPb7adGTDDh3ZsOOc549s2BF6fd4aIu95dv9ltRa17l7iNAQzNrZ1lRY/+lrqMmaVsa2rJGnG+zXvZ8FpCIDCcWQBVBhHFgAKR1gACCEsAIQQFgBCCAsAIYQFgBDCAkAIYQEghLAABszkyHJNjizv+3oJCwAhHWfKAlAuc/78VpL1cmTRhPks2pvaN2NbVzGfxXneo5v5LMa2rjp75elMfLr32hm/pltcSAZUGBeSASgcYQEghLAAEEJYAAghLACEEBYAQggLACGEBYAQwgJACGFRgNr27n9+rtc61VbbPly6+vP8nF9R9o8fKmSZMslbL8O9gQpjuDeAwhEWAEIICwAhhAWAkFJ0cJrZp5I+l/TP1LX02QKxzVVQ5m3+vrt/J7JgKcJCkszsoLsPpa6jn9jmapgt28xpCIAQwgJASJnCYmfqAhJgm6thVmxzafosAJRbmY4sAJQYYQEghLAAEEJYAAghLACE/B/atTMOrx3OqQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb211f6e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 35.21447205543518 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1000.0} is: \n",
      "[[4.0130000e+03 1.4000000e+01 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [1.4000000e+01 8.0200000e+03 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [4.0000000e+00 4.0000000e+00 4.0130000e+03 ... 4.0290000e+03\n",
      "  4.0290000e+03 4.0290000e+03]\n",
      " ...\n",
      " [2.0000000e+01 2.0000000e+01 4.0290000e+03 ... 7.2148365e+07\n",
      "  7.2148365e+07 1.4836500e+05]\n",
      " [2.0000000e+01 2.0000000e+01 4.0290000e+03 ... 7.2148365e+07\n",
      "  7.2148365e+07 1.4836500e+05]\n",
      " [2.0000000e+01 2.0000000e+01 4.0290000e+03 ... 1.4836500e+05\n",
      "  1.4836500e+05 2.0236500e+05]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c1443c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.99727129936218 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 10000.0} is: \n",
      "[[4.00130000e+04 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00200000e+04 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00130000e+04 ... 4.00290000e+04\n",
      "  4.00290000e+04 4.00290000e+04]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00290000e+04 ... 7.20148036e+09\n",
      "  7.20148036e+09 1.48036500e+06]\n",
      " [2.00000000e+01 2.00000000e+01 4.00290000e+04 ... 7.20148036e+09\n",
      "  7.20148036e+09 1.48036500e+06]\n",
      " [2.00000000e+01 2.00000000e+01 4.00290000e+04 ... 1.48036500e+06\n",
      "  1.48036500e+06 2.02036500e+06]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb246370b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.714210987091064 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 100000.0} is: \n",
      "[[4.0001300e+05 1.4000000e+01 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [1.4000000e+01 8.0002000e+05 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [4.0000000e+00 4.0000000e+00 4.0001300e+05 ... 4.0002900e+05\n",
      "  4.0002900e+05 4.0002900e+05]\n",
      " ...\n",
      " [2.0000000e+01 2.0000000e+01 4.0002900e+05 ... 7.2001480e+11\n",
      "  7.2001480e+11 1.4800365e+07]\n",
      " [2.0000000e+01 2.0000000e+01 4.0002900e+05 ... 7.2001480e+11\n",
      "  7.2001480e+11 1.4800365e+07]\n",
      " [2.0000000e+01 2.0000000e+01 4.0002900e+05 ... 1.4800365e+07\n",
      "  1.4800365e+07 2.0200365e+07]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.71897006034851 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1000000.0} is: \n",
      "[[4.00001300e+06 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00002000e+06 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00001300e+06 ... 4.00002900e+06\n",
      "  4.00002900e+06 4.00002900e+06]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00002900e+06 ... 7.20001480e+13\n",
      "  7.20001480e+13 1.48000365e+08]\n",
      " [2.00000000e+01 2.00000000e+01 4.00002900e+06 ... 7.20001480e+13\n",
      "  7.20001480e+13 1.48000365e+08]\n",
      " [2.00000000e+01 2.00000000e+01 4.00002900e+06 ... 1.48000365e+08\n",
      "  1.48000365e+08 2.02000365e+08]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb5d7e25c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.76906633377075 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 10000000.0} is: \n",
      "[[4.00000130e+07 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00000200e+07 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00000130e+07 ... 4.00000290e+07\n",
      "  4.00000290e+07 4.00000290e+07]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00000290e+07 ... 7.20000148e+15\n",
      "  7.20000148e+15 1.48000036e+09]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000290e+07 ... 7.20000148e+15\n",
      "  7.20000148e+15 1.48000036e+09]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000290e+07 ... 1.48000036e+09\n",
      "  1.48000036e+09 2.02000036e+09]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 35.22616124153137 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 100000000.0} is: \n",
      "[[4.00000013e+08 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00000020e+08 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00000013e+08 ... 4.00000029e+08\n",
      "  4.00000029e+08 4.00000029e+08]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00000029e+08 ... 7.20000015e+17\n",
      "  7.20000015e+17 1.48000004e+10]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000029e+08 ... 7.20000015e+17\n",
      "  7.20000015e+17 1.48000004e+10]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000029e+08 ... 1.48000004e+10\n",
      "  1.48000004e+10 2.02000004e+10]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.935295820236206 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 1000000000.0} is: \n",
      "[[4.00000001e+09 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00000002e+09 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00000001e+09 ... 4.00000003e+09\n",
      "  4.00000003e+09 4.00000003e+09]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00000003e+09 ... 7.20000001e+19\n",
      "  7.20000001e+19 1.48000000e+11]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000003e+09 ... 7.20000001e+19\n",
      "  7.20000001e+19 1.48000000e+11]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000003e+09 ... 1.48000000e+11\n",
      "  1.48000000e+11 2.02000000e+11]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb689026d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.634655714035034 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 2.0, 'lmda': 10000000000.0} is: \n",
      "[[4.00e+10 1.40e+01 4.00e+00 ... 2.00e+01 2.00e+01 2.00e+01]\n",
      " [1.40e+01 8.00e+10 4.00e+00 ... 2.00e+01 2.00e+01 2.00e+01]\n",
      " [4.00e+00 4.00e+00 4.00e+10 ... 4.00e+10 4.00e+10 4.00e+10]\n",
      " ...\n",
      " [2.00e+01 2.00e+01 4.00e+10 ... 7.20e+21 7.20e+21 1.48e+12]\n",
      " [2.00e+01 2.00e+01 4.00e+10 ... 7.20e+21 7.20e+21 1.48e+12]\n",
      " [2.00e+01 2.00e+01 4.00e+10 ... 1.48e+12 1.48e+12 2.02e+12]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f2940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.149678707122803 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1e-10} is: \n",
      "[[8.00e-10 8.00e-10 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e-10 1.20e-09 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 8.00e-10 ... 8.00e-10 8.00e-10 8.00e-10]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 8.00e-10 ... 2.64e-08 2.64e-08 2.64e-08]\n",
      " [0.00e+00 0.00e+00 8.00e-10 ... 2.64e-08 2.64e-08 2.64e-08]\n",
      " [0.00e+00 0.00e+00 8.00e-10 ... 2.64e-08 2.64e-08 2.64e-08]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.24059534072876 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1e-09} is: \n",
      "[[8.00e-09 8.00e-09 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e-09 1.20e-08 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 8.00e-09 ... 8.00e-09 8.00e-09 8.00e-09]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 8.00e-09 ... 2.64e-07 2.64e-07 2.64e-07]\n",
      " [0.00e+00 0.00e+00 8.00e-09 ... 2.64e-07 2.64e-07 2.64e-07]\n",
      " [0.00e+00 0.00e+00 8.00e-09 ... 2.64e-07 2.64e-07 2.64e-07]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.805413007736206 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1e-08} is: \n",
      "[[8.00e-08 8.00e-08 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e-08 1.20e-07 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 8.00e-08 ... 8.00e-08 8.00e-08 8.00e-08]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 8.00e-08 ... 2.64e-06 2.64e-06 2.64e-06]\n",
      " [0.00e+00 0.00e+00 8.00e-08 ... 2.64e-06 2.64e-06 2.64e-06]\n",
      " [0.00e+00 0.00e+00 8.00e-08 ... 2.64e-06 2.64e-06 2.64e-06]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.43400478363037 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1e-07} is: \n",
      "[[8.00e-07 8.00e-07 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e-07 1.20e-06 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 8.00e-07 ... 8.00e-07 8.00e-07 8.00e-07]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 8.00e-07 ... 2.64e-05 2.64e-05 2.64e-05]\n",
      " [0.00e+00 0.00e+00 8.00e-07 ... 2.64e-05 2.64e-05 2.64e-05]\n",
      " [0.00e+00 0.00e+00 8.00e-07 ... 2.64e-05 2.64e-05 2.64e-05]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.632941246032715 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1e-06} is: \n",
      "[[8.00e-06 8.00e-06 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e-06 1.20e-05 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 8.00e-06 ... 8.00e-06 8.00e-06 8.00e-06]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 8.00e-06 ... 2.64e-04 2.64e-04 2.64e-04]\n",
      " [0.00e+00 0.00e+00 8.00e-06 ... 2.64e-04 2.64e-04 2.64e-04]\n",
      " [0.00e+00 0.00e+00 8.00e-06 ... 2.64e-04 2.64e-04 2.64e-04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.6206476688385 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1e-05} is: \n",
      "[[8.00e-05 8.00e-05 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e-05 1.20e-04 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 8.00e-05 ... 8.00e-05 8.00e-05 8.00e-05]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 8.00e-05 ... 2.64e-03 2.64e-03 2.64e-03]\n",
      " [0.00e+00 0.00e+00 8.00e-05 ... 2.64e-03 2.64e-03 2.64e-03]\n",
      " [0.00e+00 0.00e+00 8.00e-05 ... 2.64e-03 2.64e-03 2.64e-03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.250969409942627 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 0.0001} is: \n",
      "[[0.0008 0.0008 0.     ... 0.     0.     0.    ]\n",
      " [0.0008 0.0012 0.     ... 0.     0.     0.    ]\n",
      " [0.     0.     0.0008 ... 0.0008 0.0008 0.0008]\n",
      " ...\n",
      " [0.     0.     0.0008 ... 0.0264 0.0264 0.0264]\n",
      " [0.     0.     0.0008 ... 0.0264 0.0264 0.0264]\n",
      " [0.     0.     0.0008 ... 0.0264 0.0264 0.0264]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e59b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.387526512145996 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 0.001} is: \n",
      "[[0.008      0.008      0.         ... 0.         0.         0.        ]\n",
      " [0.008      0.01200001 0.         ... 0.         0.         0.        ]\n",
      " [0.         0.         0.008      ... 0.008      0.008      0.008     ]\n",
      " ...\n",
      " [0.         0.         0.008      ... 0.26400015 0.26400015 0.26400015]\n",
      " [0.         0.         0.008      ... 0.26400015 0.26400015 0.26400015]\n",
      " [0.         0.         0.008      ... 0.26400015 0.26400015 0.2640002 ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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Y77jKkZnNG0Y7+a5w2K5bkWQEZpDKir7W64fH9R+/4kYRnWq2tgF2nY8wjVuS/+0sbFpojWDSdNDoSq/G7c7xNvpt3DoQfi5BNo76P/Odin579iyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISCUXs06HSTm4DkOvlkhCpuTUVwibrToC7mzN7JUttldYfYrCaMuQXLOGX7+99LqxZ0FEKgwWRKTCYEFEKgwWRKTCYEFEKrl6GiI1TzLD1mB5Z29VdbdS+TDTCi4JLS07L+RAlfVG8D5624Qcw2rtC1luf3Wrr1eWEpSn9ohrl8vNmZlU2N17t3p7ksrmQUoN/ROnVk2fR7RbFNTm0lWm9yqthucIbVeT/zp0i4LapWS5MIN4q6MHMQXLOV5/2b4LyXKSBlVdlwRvN3sWRKSSi56FWBasicleJm8AKJyw0xkXSvZfUPcvffviJXQ/eypwP8WpycDlvZ9fWOx937j3psh1S6vBPYi47NfV+SYAoH5PdBbwMOVV3V/brFm4h7k9ivpdwWNctEpr+u1NgkEp1SWD+U9mP+eo9nWLyXsI1SVg8Z7s43dkLfrFMEX7/Skv99crn1xJdIz2ZsCv+4S+t8aeBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGp5CKfBSzLzpLVbPaXeTJjAYCpX4ndTduTCau03PT93Gz18w5IJzp3QXsiOI7GZcCynNokRV3CKx9tnorKSnjGpzTcDFdJ8lFkVV3S54+orHRQXtnej+vEcvJ8GZWrBmvL2/+alRfstpUb/WUrM7WQtYMVGv7Xz2zp+wvsWRCRCoMFEakwWBCRCoMFEanEBgsReVpEFkTkdc+yaRH5lYi87Xw95CwXEfmhiLwjIq+JyN3b2Xgi2jmansUzAB4YWvYEgHPGmBMAzjn/B4AHAZxw/p0F8ORomklE4xYbLIwxvwawPLT4DIBnne+fBfAVz/KfGNvLAA6KyPWjaiwRjU/aexbHjDGXne/nABxzvr8RwAXPerPOMiLa5TLf4DTGGACJq7OIyFkReUVEXtnqrmdtBhFts7TBYt69vHC+LjjLLwLwlvo67izzMcY8ZYw5bYw5XbYmUjaDiHZK2vGzLwJ4FMD3nK8/9yx/XESeA3AvgBXP5Uoo026jU6/DmuyXH5SVVQB2uULAU84QgKwHl4srzPWHhG/ddtT382KxHxutVnRnyC1DOGztluCyhi63MHJa2sLEHx4f7dBnt0hxkpKCQZIM4V69UT+8evNgEZ1q9gLE1aXwY67elHz/m9OCTi1bMWlgsCxhkPXb7GkGG54yh6UDIVWuQ1SOrvmWWRX9tIHYT5yI/AzA/QCOiMgsgG/DDhLPi8g3ALwP4GFn9ZcAPATgHQBNAF9Xt4SIci02WBhjvhbyo88HrGsAPJa1UUSUPxzBSUQqDBZEpMJgQUQqDBZEpMJgQUQqDBZEpMJgQUQqDBZEpJKP7N4OqfWzFXszcQMYyPZthQz39m0zZCD7dyN63bBjaLOCp82+HdcuV3FjtG+dm1U8yXDtIEnOe/NgsnOYWEiefXtY5Wr4+bVq6fY/cSn7e+HN2h2kU/FnEO9eSJbde3XKPyy929b3F3IRLMSyYE1MolOv95YV7vyY/dVdp2nn1m+f/wCtL54O3E95Ijole3m2n5Zj8b7omfOVw+XA5Z1K9Is7eclu59xnJiPXC1Ne0U3O6FSz/+J41ea6AID5T2bbb5J0/UnmekwsCBr3pKyv4LUS/hkxlW7i3ZXrRRy6ux6/YozlRvTnZaJi/6KvLvQDxF/f9cdEx1hpVX3L/qsaXdrCi5chRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKSSm2AhZX+eAVPUNa9blF7yFqIwVjF7rdTtUC6kS5S003KR/AaWBZQGk830AsXMIfurUyg5cPO2/SFoT1V6y4qNgKKxrX6mIHebMGFJbkqr0W9swcmwVUhWs7ZHG/SiMj6l4Z5XaS06gdAoRRUpHla5aiIT12h0AUg7/JilRvJfh+qSYPHK/gytsnUj2gUArWU7cY23gPIby9clOkZQgp31lv41zU3PgojyjcGCiFQYLIhIhcGC9jbeF1djsKC9LZ8PSHKJwYKIVHLx6NS02+jU67Am+492rEYTgF0nBPDUEdmaQbfpL5YCDNYFWf/YUf/PPd9bwbvocet/DGvcPhG5XbeUrPCL77iLutoVjVtGG+fbVfuj0M04FmFiWd+vX71Jf6xWTVLV9RgW9Xi0dVPy592tqRJqkymfk3t464EEOXar/dlenu7/jhzffzXRMU5Oz/mW/WtZ33b2LIhIhcGCiFQYLIhIhcGCiFQYLIhIhcGCiFQYLIhIhcGCiFRyMShrWFAiHMDOcZFmKP9OJMbp5vKV9Nst7cyr4QQ62YeJ7R7sWRCRCoMFEakwWBCRSq6uYKXmmUzTGpzp5c3J6ea59GkFzw4LytGpzaXp31c1ZLn91c3dmTZHZly7XIXNdHE+LDeoe1+nupRqtz1JzntzOtm9pHI9+8c1Ku9nayo+H+XwPQppC1Yv78vYqsHcmkEW99l5Pr25Ol+7eEOiY0xPNX3L1jv6HJy5CBZiWbAmJtGp13vLrE/cAQAobDm/tOtbAIDO2+9i/cynAvczUYp+wcuz/Vl6S1+ITnba2hechLVdjf6A75+127t4X7rkshuHddu1sk1u9aldsn/JF+8JCcRKa8v68+7UYqb+ekxcKuLQ3fX4FWNEJddNM3t09fI+fPmTv8/SJADAWw3/LGmvYxMfAgB+P98PEH/38RcTHWOp7Q9q3y2HJ8IexssQIlJhsCAiFQYLIlJhsCAildhgISJPi8iCiLzuWfYdEbkoIq86/x7y/OxbIvKOiLwlIl/aroYT0c7S9CyeAfBAwPIfGGNOOf9eAgARuRPAIwBOOtv8SESiH1EQ0a4QGyyMMb8GsBy3nuMMgOeMMZvGmPcAvAMg+DknEe0qWe5ZPC4irzmXKU71YtwI4IJnnVlnGRHtcmmDxZMAPgLgFIDLAL6fdAciclZEXhGRV7ZMcNp9IsqPVMHCGDNvjOkYY7oAfoz+pcZFADd5Vj3uLAvax1PGmNPGmNNlCR5CTUT5kSpYiMj1nv9+FYD7pORFAI+ISEVEbgNwAsBvsjWRiPIgdm6IiPwMwP0AjojILIBvA7hfRE7BrhR5HsA3AcAY84aIPA/gTQBtAI8ZY3Qzo4go12KDhTHmawGL/yli/e8C+G6WRhFR/nAEJxGpMFgQkUpugkVQkl4Tk5+it15BYArbn5SXdrdyIZ+3zyYKW+Nugkoukt/AsoBSeWBRL1DM2OO9pBk+FkM6duKW1lR/H4WmP7GKeDJpudmzwoQluSmvRm/nHrewUY5cL4w2+3a5kWr34ftzzkvWdm50flx2qIF1G8ByYzLzMb2ZpoatLiTPKFReLsQmrtH4cLMS+fO5hp20x9vG//nwRKJjvLd22Ldspf2Wevvc9CyIKN8YLIhIhcGCiFQYLIhIhcGCiFQYLIhIhcGCiFRyMc7CtNvo1OuwJvvP0aWxDsAuKgR4ig7NzKC4Hly7uvpeP6HX6p1HfD+32gc930e3qTYXXGznykfjxk9km25fXdJV9GrcnukwPqZg/90wRX3hnyDlBf3guPXb9IOROpUSJirZ2gYAreXw9+fYrdqEcH2L+/b3CgBl4Y6jCPNXx/8MAHhrqj+m446Jy4mO8Zf73/Yte63EIkNENGK56Fm4vLVOZbjWqTOiU2YOBY7ODNpmmHeEp3Yk5jCrHV2ezx35mXaEZVy7XIWN0cZ5d+RoklGVQZKc90bC0aJpRlgOizq/5enkI0S7bRkoKZhW3Lm5PQrvSM9/X/x4omPcVvMXsl3tvK/enj0LIlJhsCAilVxchgRVUZebTwIACmsz9oJ1+4Zj580/ofnwp0P2NB15nOpsv49cv8t/A9SrXZ0IXN6JqaJem7cvX+qn082C3ZrSdc23DuguV7T2XXAun06uZNrPyoz+UqF0QF+1vHuhhr++649pmjTgjeXrQn92fP/VxPt77eINiauZB4mbFObezPReevzLR/4z0TGudJq+Zed4g5OIRo3BgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISCUXc0NMt4tuszmY/MadC+LMF5Gb7Sm6hZkZFDaDk9+Ulvtj35s3+JOctDxTkAsx0xIqK8HVq5rHol+yzQP23A5LP+1hgHaK98bR4NcgLXdOSnsz20ei0NBvXzm6pl53daqNlVa2xEJAdKGik9Nzifc3PdXEUntfliYBCC4A5OUmrvFOMw+a6xHlUMF/7sUE/QX2LIhIhcGCiFQYLIhIhcGCiFQYLIhIRYwZbcalVI0QqQNYA7A47rbssCPgOe8FeT7nW4wxM5oVcxEsAEBEXjHGnB53O3YSz3lvuFbOmZchRKTCYEFEKnkKFk+NuwFjwHPeG66Jc87NPQsiyrc89SyIKMcYLIhIhcGCiFQYLIhIhcGCiFT+Hz/SJ046PtnwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f2160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.552900314331055 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 0.01} is: \n",
      "[[0.080004   0.08       0.         ... 0.         0.         0.        ]\n",
      " [0.08       0.120008   0.         ... 0.         0.         0.        ]\n",
      " [0.         0.         0.080004   ... 0.080004   0.080004   0.080004  ]\n",
      " ...\n",
      " [0.         0.         0.080004   ... 2.64014801 2.64014801 2.640148  ]\n",
      " [0.         0.         0.080004   ... 2.64014801 2.64014801 2.640148  ]\n",
      " [0.         0.         0.080004   ... 2.640148   2.640148   2.640202  ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f81d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.285762071609497 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 0.1} is: \n",
      "[[ 0.804    0.8      0.      ...  0.       0.       0.     ]\n",
      " [ 0.8      1.208    0.      ...  0.       0.       0.     ]\n",
      " [ 0.       0.       0.804   ...  0.804    0.804    0.804  ]\n",
      " ...\n",
      " [ 0.       0.       0.804   ... 26.54872 26.54872 26.548  ]\n",
      " [ 0.       0.       0.804   ... 26.54872 26.54872 26.548  ]\n",
      " [ 0.       0.       0.804   ... 26.548   26.548   26.602  ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb5d7e25c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.075997591018677 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1.0} is: \n",
      "[[ 12.   8.   0. ...   0.   0.   0.]\n",
      " [  8.  20.   0. ...   0.   0.   0.]\n",
      " [  0.   0.  12. ...  12.  12.  12.]\n",
      " ...\n",
      " [  0.   0.  12. ... 484. 484. 412.]\n",
      " [  0.   0.  12. ... 484. 484. 412.]\n",
      " [  0.   0.  12. ... 412. 412. 466.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24637da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.010215520858765 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 10.0} is: \n",
      "[[4.08000e+03 8.00000e+01 0.00000e+00 ... 0.00000e+00 0.00000e+00\n",
      "  0.00000e+00]\n",
      " [8.00000e+01 8.12000e+03 0.00000e+00 ... 0.00000e+00 0.00000e+00\n",
      "  0.00000e+00]\n",
      " [0.00000e+00 0.00000e+00 4.08000e+03 ... 4.08000e+03 4.08000e+03\n",
      "  4.08000e+03]\n",
      " ...\n",
      " [0.00000e+00 0.00000e+00 4.08000e+03 ... 7.35064e+06 7.35064e+06\n",
      "  1.50640e+05]\n",
      " [0.00000e+00 0.00000e+00 4.08000e+03 ... 7.35064e+06 7.35064e+06\n",
      "  1.50640e+05]\n",
      " [0.00000e+00 0.00000e+00 4.08000e+03 ... 1.50640e+05 1.50640e+05\n",
      "  2.04640e+05]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.062121629714966 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 100.0} is: \n",
      "[[4.00080000e+06 8.00000000e+02 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [8.00000000e+02 8.00120000e+06 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00080000e+06 ... 4.00080000e+06\n",
      "  4.00080000e+06 4.00080000e+06]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00080000e+06 ... 7.20148026e+11\n",
      "  7.20148026e+11 1.48026400e+08]\n",
      " [0.00000000e+00 0.00000000e+00 4.00080000e+06 ... 7.20148026e+11\n",
      "  7.20148026e+11 1.48026400e+08]\n",
      " [0.00000000e+00 0.00000000e+00 4.00080000e+06 ... 1.48026400e+08\n",
      "  1.48026400e+08 2.02026400e+08]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.070118188858032 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1000.0} is: \n",
      "[[4.00000800e+09 8.00000000e+03 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [8.00000000e+03 8.00001200e+09 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000800e+09 ... 4.00000800e+09\n",
      "  4.00000800e+09 4.00000800e+09]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00000800e+09 ... 7.20001480e+16\n",
      "  7.20001480e+16 1.48000264e+11]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000800e+09 ... 7.20001480e+16\n",
      "  7.20001480e+16 1.48000264e+11]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000800e+09 ... 1.48000264e+11\n",
      "  1.48000264e+11 2.02000264e+11]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADeZJREFUeJzt3V+MVOUZx/HfU0GMRqOUliDa1lJiov1DZAMbogS3iVXTFLgRvKjEmKIJprdgb/TGRC9kE5MqwZSIF/7hxsgFLRp6YRNjFRNi0dQ6KEZ2kbWlsY1YdPHpxZzFYXaGeXbOmXnP7Pl+EjIz75yZ85wz7C/nvPOed8zdBQCdfCt1AQAGA2EBIISwABBCWAAIISwAhBAWAEKSh4WZ3Wpm75lZzcy2pa6nV8zsqJn9zcwOmdnBrG2+mb1iZu9nt1ekrjMPM9tlZhNmdrihreU2Wt3j2ef+tpndkK7y7rXZ5ofMbCz7rA+Z2e0Nzz2QbfN7ZvaLNFV3J2lYmNkFkn4v6TZJ10m608yuS1lTj93s7svcfSh7vE3SAXdfKulA9niQPS3p1qa2dtt4m6Sl2b/Nkp7sU41Fe1rTt1mSRrPPepm775Ok7P/2RknXZ695IvsbGAipjyxWSKq5+wfu/qWk5yWtTVxTP62VtDu7v1vSuoS15Obur0o62dTcbhvXSnrG616XdLmZLepPpcVps83trJX0vLufdvcPJdVU/xsYCKnDYrGkjxseH8vaZiOX9LKZvWVmm7O2he5+PLv/iaSFaUrrqXbbONs/+/uz06tdDaeXA73NqcOiSm509xtUP/zeYmarG5/0+rj7WT32vgrbmHlS0hJJyyQdl/RY2nKKkTosxiRd3fD4qqxt1nH3sex2QtKLqh9+npg69M5uJ9JV2DPttnHWfvbufsLdz7j715Ke0jenGgO9zanD4k1JS83sGjO7UPXOn72JayqcmV1iZpdO3Zd0i6TDqm/rpmyxTZJeSlNhT7Xbxr2S7sq+FRmW9FnD6cpAa+p7Wa/6Zy3Vt3mjmc0zs2tU79x9o9/1dWtOypW7+6SZ3S9pv6QLJO1y93dS1tQjCyW9aGZSfZ8/6+5/MrM3Je0xs3skfSTpjoQ15mZmz0laI2mBmR2T9KCkR9R6G/dJul31Tr5Tku7ue8EFaLPNa8xsmeqnXEcl3StJ7v6Ome2R9K6kSUlb3P1Mirq7YVyiDiAi9WkIgAFBWAAIISwAhBAWAEIICwAhPQuLmV5N2jAEujLY5mqYLdvck7Do8mrSWbFDZ4htroZZsc29OrKo+tWkwKzTqxGcra6uW9lu4Qttnl+ki3WZza/UCDG2uRrKvM3/0+f60k9bZNlkw72z87jNUn1n3vjNZEIA+uSvfiC8bK9OQzpeXefuO919yN2H5mpej8oAUJRehUUlriYFqqQnpyEVupoUqIye9Vlkk5Tu69X7A+gvRnACCCEsAIQQFgBCCAsAIYQFgBDCAkAIYQEghLAAEEJYAAghLACEEBYAQggLACGEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhAWAEMICQAhhASCEsAAQQlgACCEsAIQQFgBCCAsAIYRFky/WrdAX61YkWW/ZNe6bU+tXTmtLYaqO5rba9mHVtg+f83xt+3Do9XlriLzn1DJTtRa17l4iLACEmLunrkGX2XxfaT9PXQZQOX/1A/qPn7TIshxZnMfkyPJKr79bkyPLB7Z2tMeRBVBhHFkAKBxhASCEsAAQQlgACCEsAIQQFgBCCAsAIYQFgBDCogBlvgisU22pLwRrpQz1RC7uynMBWAp562UEJ1BhjOAEUDjCAkAIYQEghLAAEEJYAAghLACEEBYAQggLACGEBYCQOXlebGZHJf1X0hlJk+4+ZGbzJb0g6QeSjkq6w93/na9MAKkVcWRxs7svc/eh7PE2SQfcfamkA9ljAAOuF6chayXtzu7vlrSuB+sA0Gd5w8IlvWxmb5nZ5qxtobsfz+5/ImlhznUAKIFcfRaSbnT3MTP7rqRXzOzvjU+6u5tZy8tas3DZLEkX6eKcZQDotVxHFu4+lt1OSHpR0gpJJ8xskSRltxNtXrvT3YfcfWiu5uUpA0AfdB0WZnaJmV06dV/SLZIOS9oraVO22CZJL+Utsp9STQbTz1/D7tap9SvP+fXv5rZUNbVq41fUi9f15Ddm9kPVjyak+unMs+7+sJl9W9IeSd+T9JHqX52ePN97MfkNkMZMJr/pus/C3T+Q9LMW7f+SxF8+MMswghNACGEBIISwOI/JkeWVXn+3JkeWD2ztaI/ZvYEKY3ZvAIUjLACEEBYAQggLACGEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhAWAEMICQAhhASCEsChAitnAozrVlmo28/Mpw0znkRm388zKnULeepn8BqgwJr8BUDjCAkAIYQEghLAAEEJYAAghLACEEBYFKNs4hUadakv9K+itlGF/Ms5iOsICQAiDsoAKY1AWgMIRFgBCCAsAIYQFgBDCAkAIYQEghLAAEEJYAAghLJqkmmaubEOuW2kcGt54m7L2Vus+tX6latuHVds+fM7zrYY7F1F783tE3rNx/+UZht3PfU9YAAhhuDdmbGzrKi1+9LXUZcwqY1tXSdKM92vez4Lh3jmkOqwepNOQxY++Vv7TkNFh1UabTkNGS3oaMjqsxY++1tUf/RX/ODPj13SLIwugwjiyyIEOzvbo4IzVQAcngErjNASoME5DABSOsAAQQlicx+TI8kqvv1uTI8sHtna0R1gACKGDE6gwOjgBFK5jWJjZLjObMLPDDW3zzewVM3s/u70iazcze9zMamb2tpnd0MviAfRP5MjiaUm3NrVtk3TA3ZdKOpA9lqTbJC3N/m2W9GQxZQJIrWNYuPurkk42Na+VtDu7v1vSuob2Z7zudUmXm9mioooFkE63fRYL3f14dv8TSQuz+4slfdyw3LGsDcCAy93B6fWvU2b8lYqZbTazg2Z28CudzlsGgB7rNixOTJ1eZLcTWfuYpKsblrsqa5vG3Xe6+5C7D83VvC7LANAv3YbFXkmbsvubJL3U0H5X9q3IsKTPGk5XAAywOZ0WMLPnJK2RtMDMjkl6UNIjkvaY2T2SPpJ0R7b4Pkm3S6pJOiXp7h7UDCCBjmHh7ne2eWrakMus/2JL3qIAlA8jOAGEEBYAQggLACGERQFSTPAb1WlC11QTFJ9PGSYvjkyim2ei3RRa/RTCTHCJOlBhXKIOoHCEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhEWTU+tXJhluXIYhzp007pvG25S1t1r3qfUrVRsdVm10+JznWw3PLqL25veIvGfj/sszDLuf+57h3kCFMdwbQOEICwAhhAWAEMKiCR2c7Q18B2eLjkQ6OOMIiybjN5nGbwr19xS+3rJr3Dfjq21aW5KaVk9f9/hq05ENO3Rkw45znj+yYUfo9XlriLzn2f2X1VrUunuJsAAQ0vGnAKrmyr+k+So51XpnorHGK1/1aW0pTNXR3LZE9017fskL9+lHer3j6/PWEHnPs/svq7W5rm7X3UuMswAqjHEWAApHWDSpbR9OMmvzIMwU3bhvpnrwU+2vxpqmtY0Oa//4Ie0fP3TONw37xw+1XDZ3DU3vEXnPs/svq7WodfcSpyFAhXEaAqBwhAWAEMICQAhh0YTh3u0x3DtWw2wd7k0HJ1BhdHACKBxhASCEsAAQQlgACCEsClDmodqdaks9XLuVMtQTGYKdZ5h2Cnnr5dsQoML4NgRA4QgLACGEBYAQwgJACGEBIISwABBCWAAIISwKUIZBRO0wKKs7DMqajkFZQIUxKCsHJr9pj8lvYjUw+U0PcWQBpMGRBYDCERYAQgiLJvRZtEefRayGyvZZmNkuSb+UNOHuP87aHpL0G0mfZov9zt33Zc89IOkeSWck/dbd93cqgj4LII2i+yyelnRri/ZRd1+W/ZsKiuskbZR0ffaaJ8zsgljZAMqsY1i4+6uSTgbfb62k5939tLt/KKkmaUWO+gCURJ4+i/vN7G0z22VmV2RtiyV93LDMsawNwIDrNiyelLRE0jJJxyU9NtM3MLPNZnbQzA5+pdNdlgGgX7oKC3c/4e5n3P1rSU/pm1ONMUlXNyx6VdbW6j12uvuQuw/N1bxuygDQR12FhZktani4XtLh7P5eSRvNbJ6ZXSNpqaQ38pUIoAzmdFrAzJ6TtEbSAjM7JulBSWvMbJkkl3RU0r2S5O7vmNkeSe9KmpS0xd3P9KZ0AP0U+TbkTndf5O5z3f0qd/+Du//a3X/i7j9191+5+/GG5R929yXufq27/7G35RePQVntMSgrVkNlB2X1A4OygDS4kCwHjiza48giVsNsPbIgLJqM32QavykUtIWvt+wa9834apvWlqSm1dPXPb7adGTDDh3ZsOOc549s2BF6fd4aIu95dv9ltRa17l7iNAQzNrZ1lRY/+lrqMmaVsa2rJGnG+zXvZ8FpCIDCcWQBVBhHFgAKR1gACCEsAIQQFgBCCAsAIYQFgBDCAkAIYQEghLAABszkyHJNjizv+3oJCwAhHWfKAlAuc/78VpL1cmTRhPks2pvaN2NbVzGfxXneo5v5LMa2rjp75elMfLr32hm/pltcSAZUGBeSASgcYQEghLAAEEJYAAghLACEEBYAQggLACGEBYAQwgJACGFRgNr27n9+rtc61VbbPly6+vP8nF9R9o8fKmSZMslbL8O9gQpjuDeAwhEWAEIICwAhhAWAkFJ0cJrZp5I+l/TP1LX02QKxzVVQ5m3+vrt/J7JgKcJCkszsoLsPpa6jn9jmapgt28xpCIAQwgJASJnCYmfqAhJgm6thVmxzafosAJRbmY4sAJQYYQEghLAAEEJYAAghLACE/B/atTMOrx3OqQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f21d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.060213327407837 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 10000.0} is: \n",
      "[[4.00000008e+12 8.00000000e+04 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [8.00000000e+04 8.00000012e+12 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000008e+12 ... 4.00000008e+12\n",
      "  4.00000008e+12 4.00000008e+12]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00000008e+12 ... 7.20000015e+21\n",
      "  7.20000015e+21 1.48000003e+14]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000008e+12 ... 7.20000015e+21\n",
      "  7.20000015e+21 1.48000003e+14]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000008e+12 ... 1.48000003e+14\n",
      "  1.48000003e+14 2.02000003e+14]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.099493503570557 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 100000.0} is: \n",
      "[[4.00e+15 8.00e+05 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e+05 8.00e+15 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 4.00e+15 ... 4.00e+15 4.00e+15 4.00e+15]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 4.00e+15 ... 7.20e+26 7.20e+26 1.48e+17]\n",
      " [0.00e+00 0.00e+00 4.00e+15 ... 7.20e+26 7.20e+26 1.48e+17]\n",
      " [0.00e+00 0.00e+00 4.00e+15 ... 1.48e+17 1.48e+17 2.02e+17]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADaVJREFUeJzt3UHMFPd9xvHnqSFEiRLF1Aki2G1diiI5TYvMK/MKWYhQKbWtqpiLsQ8NiqySSLZ6xenFuUSKD9ErRWqMiIpMDrHDxTIHWmLRAwfLSbCEHBw1zUuCZd4XgxOqJAoqyUt+Oey89bDssr93Z3Zn353vR0KzOzs78/vP8j6a+e9/Zh0RAoBB/qTpAgCsDoQFgBTCAkAKYQEghbAAkEJYAEhpPCxsP2T7J7bnbT/TdD2jYvuC7R/ZPmv7TDFvve1Xbf+0mN7ZdJ1V2D5i+4rtc6V5Pdvojm8Un/ubtu9vrvLh9WnzV2wvFJ/1WduPlF77ctHmn9j++2aqHk6jYWH7Dkn/JulhSfdJesL2fU3WNGKfjYitETFTPH9G0qmI2CLpVPF8NXtB0kNd8/q18WFJW4p/ByQ9P6Ya6/aCbm2zJM0Vn/XWiDghScX/7cclfbp4zzeLv4FVoekjiwckzUfEzyLid5JekrSn4ZrGaY+ko8Xjo5IebbCWyiLitKSrXbP7tXGPpG9Hx+uSPmZ743gqrU+fNvezR9JLEXE9In4uaV6dv4FVoemw2CTpndLzi8W8aRSSvmf7DdsHinkbIuJS8fhdSRuaKW2k+rVx2j/7p4vTqyOl08tV3eamw6JNHoyI+9U5/H7K9s7yi9EZdz/VY+/b0MbC85I2S9oq6ZKkrzdbTj2aDosFSfeUnt9dzJs6EbFQTK9Ielmdw8/Ly4fexfRKcxWOTL82Tu1nHxGXI+JGRPxB0rf0/qnGqm5z02HxQ0lbbN9r+wPqdP4cb7im2tn+sO2PLD+W9DlJ59Rp6/5isf2SXmmmwpHq18bjkj5ffCsyK+lXpdOVVa2r72WvOp+11Gnz47bX2b5Xnc7dH4y7vmGtaXLjEbFk+2lJJyXdIelIRLzVZE0jskHSy7alzj7/TkT8p+0fSjpm+0lJb0t6rMEaK7P9oqRdku6yfVHSs5K+pt5tPCHpEXU6+a5J+sLYC65Bnzbvsr1VnVOuC5K+KEkR8ZbtY5J+LGlJ0lMRcaOJuodhLlEHkNH0aQiAVYKwAJBCWABIISwApBAWAFJGFhYrvZq0NAS6NWhzO0xLm0cSFkNeTToVO3SFaHM7TEWbR3Vk0farSYGpM6oRnL2urtveb+EPeF18UB/SR72+VSPEaHM7THKb/0+/1e/iujPLNjbcuziPOyB1duaD799MCMCYfD9OpZcd1WnIwKvrIuJwRMxExMxarRtRGQDqMqqwaMXVpECbjOQ0pEVXkwKtMbI+i+ImpSdGtX4A48UITgAphAWAFMICQAphASCFsACQQlgASCEsAKQQFgBSCAsAKYQFgBTCAkAKYQEghbAAkEJYAEghLACkEBYAUggLACmEBYAUwgJACmEBIIWwAJBCWABIISwApBAWAFIICwAphAWAFMICQAphASCFsOhybe92Xdu7vZHtTrryvilPm6y917av7d2u+blZzc/N3vT6/Nxs6v1Va8iss7z/etU17LZHibAAkOKIaLoGfdTrY7v/rukygNb5fpzSr+OqM8tyZHEbS7u3tXr7w1ravW3V1o7+OLIAWowjCwC1IywApBAWAFIICwAphAWAFMICQAphASCFsACQQljUYJIvAhtUW9MXgvUyCfVkLu6qcgFYE6rWywhOoMUYwQmgdoQFgBTCAkAKYQEghbAAkEJYAEghLACkEBYAUggLAClrqrzZ9gVJv5F0Q9JSRMzYXi/pu5L+QtIFSY9FxP9WKxNA0+o4svhsRGyNiJni+TOSTkXEFkmniucAVrlRnIbskXS0eHxU0qMj2AaAMasaFiHpe7bfsH2gmLchIi4Vj9+VtKHiNgBMgEp9FpIejIgF25+Q9Krt/y6/GBFhu+dlrUW4HJCkD+pDFcsAMGqVjiwiYqGYXpH0sqQHJF22vVGSiumVPu89HBEzETGzVuuqlAFgDIYOC9sftv2R5ceSPifpnKTjkvYXi+2X9ErVIseJX1Hvj19Rz9Uwrb+iPvTNb2z/pTpHE1LndOY7EfFV238q6ZikP5P0tjpfnV693bq4+Q3QjJXc/GboPouI+Jmkv+0x/5eS+MsHpgwjOAGkEBYAUgiL21java3V2x/W0u5tq7Z29MfdvYEW4+7eAGpHWABIISwApBAWAFIICwAphAWAFMICQAphASCFsACQQlgASCEsAKQQFgBSCAsAKYQFgBTCAkAKYVGDSb4z96Damr47dy+TUE/mjttV7srdhKr1cvMboMW4+Q2A2hEWAFIICwAphAWAFMICQAphASCFsKjBJIwL6IdxFsNhnMWtCAsAKQzKAlqMQVkAakdYAEghLACkEBYAUggLACmEBYAUwgJACmEBIIWw6NLU8OdJGOI8SHnflKdN1t5r29f2btf83Kzm52Zver3XcOc6au9eR2ad5f1XZRj2OPc9YQEgheHeWLGFgzu06bnXmi5jqiwc3CFJK96vVT8LhntXwGlIf8v7ZtNzr3Eacpt1DHMasum514b6o7/zf26s+D3D4sgCaDGOLCrgyKI/OjhzNdDBCaDVOA0BWozTEAC1IywApBAWt7G0e1urtz+spd3bVm3t6I+wAJBCByfQYnRwAqjdwLCwfcT2FdvnSvPW237V9k+L6Z3FfNv+hu1522/avn+UxQMYn8yRxQuSHuqa94ykUxGxRdKp4rkkPSxpS/HvgKTn6ykTQNMGhkVEnJZ0tWv2HklHi8dHJT1amv/t6Hhd0sdsb6yrWADNGbbPYkNEXCoevytpQ/F4k6R3SstdLOYBWOUqd3BG5+uUFX+lYvuA7TO2z/xe16uWAWDEhg2Ly8unF8X0SjF/QdI9peXuLubdIiIOR8RMRMys1bohywAwLsOGxXFJ+4vH+yW9Upr/+eJbkVlJvyqdrgBYxdYMWsD2i5J2SbrL9kVJz0r6mqRjtp+U9Lakx4rFT0h6RNK8pGuSvjCCmgE0YGBYRMQTfV66Zchl0X/xVNWiAEweRnACSCEsAKQQFgBSCIsaTPLNdgfV1vQNd3uZhHoyN9GtcqPdJlStl0vUgRbjEnUAtSMsAKQQFgBSCAsAKYQFgBTCAkAKYQEghbAAkEJYAEghLLo0Nfx5EoY4D1LeN+Vpk7X32va1vds1Pzer+bnZm17vNdy5jtq715FZZ3n/VRmGPc59z3BvoMUY7g2gdoQFgBTCAkAKYdGFDs7+6ODM1TCtHZyERZfFndbizlR/T+3bnXTlfVOeNll7r20v7rTO7zuk8/sO3fT6+X2HUu+vWkNmneX916uuYbc9SoQFgJSBPwXQNp883cxXyU1tdyXKNS4/brruXtv/5OnQZn3pltc3f/dL+iu9PvD9VWvIrLO8/zbr1rqG3fYoMc4CaDHGWQCoHWHRZbkXvYntTrryvilPm6y917bn52Z1cvGsTi6even1k4tnU++vWsNK7gy+XGtd2x4lTkOAFuM0BEDtCAsAKYQFgBTCogvDvftjuHeuhmkd7k0HJ9BidHACqB1hASCFsACQQlgASCEsajDJQ7UH1db0cO1eJqGezBDsKsO0m1C1Xr4NAVqMb0MA1I6wAJBCWABIISwApBAWAFIICwAphAWAFMKiBpMwiKgfBmUNh0FZt2JQFtBiDMqqgJvf9MfNb3I1cPObEeLIAmgGRxYAakdYAEghLLrQZ9EffRa5GlrbZ2H7iKR/kHQlIv66mPcVSf8s6b1isX+NiBPFa1+W9KSkG5L+JSJODiqCPgugGXX3Wbwg6aEe8+ciYmvxbzko7pP0uKRPF+/5pu07cmUDmGQDwyIiTku6mlzfHkkvRcT1iPi5pHlJD1SoD8CEqNJn8bTtN20fsX1nMW+TpHdKy1ws5gFY5YYNi+clbZa0VdIlSV9f6QpsH7B9xvaZ3+v6kGUAGJehwiIiLkfEjYj4g6Rv6f1TjQVJ95QWvbuY12sdhyNiJiJm1mrdMGUAGKOhwsL2xtLTvZLOFY+PS3rc9jrb90raIukH1UoEMAnWDFrA9ouSdkm6y/ZFSc9K2mV7q6SQdEHSFyUpIt6yfUzSjyUtSXoqIm6MpnQA45T5NuSJiNgYEWsj4u6I+PeI+KeI+ExE/E1E/GNEXCot/9WI2BwRn4qI/xht+fVjUFZ/DMrK1dDaQVnjwKAsoBlcSFYBRxb9cWSRq2FajywIiy6LO63FnamgrX27k668b8rTJmvvte3Fndb5fYd0ft+hm14/v+9Q6v1Va8iss7z/etU17LZHidMQrNjCwR3a9NxrTZcxVRYO7pCkFe/Xqp8FpyEAaseRBdBiHFkAqB1hASCFsACQQlgASCEsAKQQFgBSCAsAKYQFgBTCAlhllnZv09LubWPfLmEBIGXgnbIATJY1//VGI9vlyKIL97Pob3nfLBzcwf0sbrOOYe5nsXBwx/9feboS7x3/1IrfMywuJANajAvJANSOsACQQlgASCEsAKQQFgBSCAsAKYQFgBTCAkAKYQEghbCoQZWfnxu1QbUtD4ueJJNQz8nFs7UsM0mq1stwb6DFGO4NoHaEBYAUwgJACmEBIGUiOjhtvyfpt5J+0XQtY3aXaHMbTHKb/zwiPp5ZcCLCQpJsn4mImabrGCfa3A7T0mZOQwCkEBYAUiYpLA43XUADaHM7TEWbJ6bPAsBkm6QjCwATjLAAkEJYAEghLACkEBYAUv4I7XczZv1yHfoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.103667974472046 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1000000.0} is: \n",
      "[[4.00e+18 8.00e+06 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e+06 8.00e+18 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 4.00e+18 ... 4.00e+18 4.00e+18 4.00e+18]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 4.00e+18 ... 7.20e+31 7.20e+31 1.48e+20]\n",
      " [0.00e+00 0.00e+00 4.00e+18 ... 7.20e+31 7.20e+31 1.48e+20]\n",
      " [0.00e+00 0.00e+00 4.00e+18 ... 1.48e+20 1.48e+20 2.02e+20]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb5d7e25c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.023816108703613 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 10000000.0} is: \n",
      "[[4.00e+21 8.00e+07 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e+07 8.00e+21 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 4.00e+21 ... 4.00e+21 4.00e+21 4.00e+21]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 4.00e+21 ... 7.20e+36 7.20e+36 1.48e+23]\n",
      " [0.00e+00 0.00e+00 4.00e+21 ... 7.20e+36 7.20e+36 1.48e+23]\n",
      " [0.00e+00 0.00e+00 4.00e+21 ... 1.48e+23 1.48e+23 2.02e+23]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb689026d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.056624174118042 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 100000000.0} is: \n",
      "[[4.00e+24 8.00e+08 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e+08 8.00e+24 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 4.00e+24 ... 4.00e+24 4.00e+24 4.00e+24]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 4.00e+24 ... 7.20e+41 7.20e+41 1.48e+26]\n",
      " [0.00e+00 0.00e+00 4.00e+24 ... 7.20e+41 7.20e+41 1.48e+26]\n",
      " [0.00e+00 0.00e+00 4.00e+24 ... 1.48e+26 1.48e+26 2.02e+26]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.005533933639526 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 1000000000.0} is: \n",
      "[[4.00e+27 8.00e+09 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e+09 8.00e+27 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 4.00e+27 ... 4.00e+27 4.00e+27 4.00e+27]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 4.00e+27 ... 7.20e+46 7.20e+46 1.48e+29]\n",
      " [0.00e+00 0.00e+00 4.00e+27 ... 7.20e+46 7.20e+46 1.48e+29]\n",
      " [0.00e+00 0.00e+00 4.00e+27 ... 1.48e+29 1.48e+29 2.02e+29]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 29.060596466064453 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 2.0, 'lmda': 10000000000.0} is: \n",
      "[[4.00e+30 8.00e+10 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e+10 8.00e+30 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 4.00e+30 ... 4.00e+30 4.00e+30 4.00e+30]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 4.00e+30 ... 7.20e+51 7.20e+51 1.48e+32]\n",
      " [0.00e+00 0.00e+00 4.00e+30 ... 7.20e+51 7.20e+51 1.48e+32]\n",
      " [0.00e+00 0.00e+00 4.00e+30 ... 1.48e+32 1.48e+32 2.02e+32]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.390531063079834 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1e-10} is: \n",
      "[[  8.           8.           0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  8.          12.           0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  0.           0.           8.         ...   8.           8.\n",
      "    8.        ]\n",
      " ...\n",
      " [  0.           0.           8.         ... 264.00000001 264.00000001\n",
      "  264.00000001]\n",
      " [  0.           0.           8.         ... 264.00000001 264.00000001\n",
      "  264.00000001]\n",
      " [  0.           0.           8.         ... 264.00000001 264.00000001\n",
      "  264.00000002]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.39858675003052 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1e-09} is: \n",
      "[[  8.           8.           0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  8.          12.00000001   0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  0.           0.           8.         ...   8.           8.\n",
      "    8.        ]\n",
      " ...\n",
      " [  0.           0.           8.         ... 264.00000015 264.00000015\n",
      "  264.00000015]\n",
      " [  0.           0.           8.         ... 264.00000015 264.00000015\n",
      "  264.00000015]\n",
      " [  0.           0.           8.         ... 264.00000015 264.00000015\n",
      "  264.0000002 ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb689026d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.318459033966064 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1e-08} is: \n",
      "[[  8.00000004   8.           0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  8.          12.00000008   0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  0.           0.           8.00000004 ...   8.00000004   8.00000004\n",
      "    8.00000004]\n",
      " ...\n",
      " [  0.           0.           8.00000004 ... 264.00000148 264.00000148\n",
      "  264.00000148]\n",
      " [  0.           0.           8.00000004 ... 264.00000148 264.00000148\n",
      "  264.00000148]\n",
      " [  0.           0.           8.00000004 ... 264.00000148 264.00000148\n",
      "  264.00000202]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.18604373931885 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1e-07} is: \n",
      "[[  8.0000004   8.          0.        ...   0.          0.\n",
      "    0.       ]\n",
      " [  8.         12.0000008   0.        ...   0.          0.\n",
      "    0.       ]\n",
      " [  0.          0.          8.0000004 ...   8.0000004   8.0000004\n",
      "    8.0000004]\n",
      " ...\n",
      " [  0.          0.          8.0000004 ... 264.0000148 264.0000148\n",
      "  264.0000148]\n",
      " [  0.          0.          8.0000004 ... 264.0000148 264.0000148\n",
      "  264.0000148]\n",
      " [  0.          0.          8.0000004 ... 264.0000148 264.0000148\n",
      "  264.0000202]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e5208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.15291094779968 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1e-06} is: \n",
      "[[  8.000004   8.         0.       ...   0.         0.         0.      ]\n",
      " [  8.        12.000008   0.       ...   0.         0.         0.      ]\n",
      " [  0.         0.         8.000004 ...   8.000004   8.000004   8.000004]\n",
      " ...\n",
      " [  0.         0.         8.000004 ... 264.000148 264.000148 264.000148]\n",
      " [  0.         0.         8.000004 ... 264.000148 264.000148 264.000148]\n",
      " [  0.         0.         8.000004 ... 264.000148 264.000148 264.000202]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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Y77jKkZnNG0Y7+a5w2K5bkWQEZpDKir7W64fH9R+/4kYRnWq2tgF2nY8wjVuS/+0sbFpojWDSdNDoSq/G7c7xNvpt3DoQfi5BNo76P/Odin579iyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISCUXs06HSTm4DkOvlkhCpuTUVwibrToC7mzN7JUttldYfYrCaMuQXLOGX7+99LqxZ0FEKgwWRKTCYEFEKgwWRKTCYEFEKrl6GiI1TzLD1mB5Z29VdbdS+TDTCi4JLS07L+RAlfVG8D5624Qcw2rtC1luf3Wrr1eWEpSn9ohrl8vNmZlU2N17t3p7ksrmQUoN/ROnVk2fR7RbFNTm0lWm9yqthucIbVeT/zp0i4LapWS5MIN4q6MHMQXLOV5/2b4LyXKSBlVdlwRvN3sWRKSSi56FWBasicleJm8AKJyw0xkXSvZfUPcvffviJXQ/eypwP8WpycDlvZ9fWOx937j3psh1S6vBPYi47NfV+SYAoH5PdBbwMOVV3V/brFm4h7k9ivpdwWNctEpr+u1NgkEp1SWD+U9mP+eo9nWLyXsI1SVg8Z7s43dkLfrFMEX7/Skv99crn1xJdIz2ZsCv+4S+t8aeBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGp5CKfBSzLzpLVbPaXeTJjAYCpX4ndTduTCau03PT93Gz18w5IJzp3QXsiOI7GZcCynNokRV3CKx9tnorKSnjGpzTcDFdJ8lFkVV3S54+orHRQXtnej+vEcvJ8GZWrBmvL2/+alRfstpUb/WUrM7WQtYMVGv7Xz2zp+wvsWRCRCoMFEakwWBCRCoMFEanEBgsReVpEFkTkdc+yaRH5lYi87Xw95CwXEfmhiLwjIq+JyN3b2Xgi2jmansUzAB4YWvYEgHPGmBMAzjn/B4AHAZxw/p0F8ORomklE4xYbLIwxvwawPLT4DIBnne+fBfAVz/KfGNvLAA6KyPWjaiwRjU/aexbHjDGXne/nABxzvr8RwAXPerPOMiLa5TLf4DTGGACJq7OIyFkReUVEXtnqrmdtBhFts7TBYt69vHC+LjjLLwLwlvo67izzMcY8ZYw5bYw5XbYmUjaDiHZK2vGzLwJ4FMD3nK8/9yx/XESeA3AvgBXP5Uoo026jU6/DmuyXH5SVVQB2uULAU84QgKwHl4srzPWHhG/ddtT382KxHxutVnRnyC1DOGztluCyhi63MHJa2sLEHx4f7dBnt0hxkpKCQZIM4V69UT+8evNgEZ1q9gLE1aXwY67elHz/m9OCTi1bMWlgsCxhkPXb7GkGG54yh6UDIVWuQ1SOrvmWWRX9tIHYT5yI/AzA/QCOiMgsgG/DDhLPi8g3ALwP4GFn9ZcAPATgHQBNAF9Xt4SIci02WBhjvhbyo88HrGsAPJa1UUSUPxzBSUQqDBZEpMJgQUQqDBZEpMJgQUQqDBZEpMJgQUQqDBZEpJKP7N4OqfWzFXszcQMYyPZthQz39m0zZCD7dyN63bBjaLOCp82+HdcuV3FjtG+dm1U8yXDtIEnOe/NgsnOYWEiefXtY5Wr4+bVq6fY/cSn7e+HN2h2kU/FnEO9eSJbde3XKPyy929b3F3IRLMSyYE1MolOv95YV7vyY/dVdp2nn1m+f/wCtL54O3E95Ijole3m2n5Zj8b7omfOVw+XA5Z1K9Is7eclu59xnJiPXC1Ne0U3O6FSz/+J41ea6AID5T2bbb5J0/UnmekwsCBr3pKyv4LUS/hkxlW7i3ZXrRRy6ux6/YozlRvTnZaJi/6KvLvQDxF/f9cdEx1hpVX3L/qsaXdrCi5chRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKTCYEFEKgwWRKSSm2AhZX+eAVPUNa9blF7yFqIwVjF7rdTtUC6kS5S003KR/AaWBZQGk830AsXMIfurUyg5cPO2/SFoT1V6y4qNgKKxrX6mIHebMGFJbkqr0W9swcmwVUhWs7ZHG/SiMj6l4Z5XaS06gdAoRRUpHla5aiIT12h0AUg7/JilRvJfh+qSYPHK/gytsnUj2gUArWU7cY23gPIby9clOkZQgp31lv41zU3PgojyjcGCiFQYLIhIhcGC9jbeF1djsKC9LZ8PSHKJwYKIVHLx6NS02+jU67Am+492rEYTgF0nBPDUEdmaQbfpL5YCDNYFWf/YUf/PPd9bwbvocet/DGvcPhG5XbeUrPCL77iLutoVjVtGG+fbVfuj0M04FmFiWd+vX71Jf6xWTVLV9RgW9Xi0dVPy592tqRJqkymfk3t464EEOXar/dlenu7/jhzffzXRMU5Oz/mW/WtZ33b2LIhIhcGCiFQYLIhIhcGCiFQYLIhIhcGCiFQYLIhIhcGCiFRyMShrWFAiHMDOcZFmKP9OJMbp5vKV9Nst7cyr4QQ62YeJ7R7sWRCRCoMFEakwWBCRSq6uYKXmmUzTGpzp5c3J6ea59GkFzw4LytGpzaXp31c1ZLn91c3dmTZHZly7XIXNdHE+LDeoe1+nupRqtz1JzntzOtm9pHI9+8c1Ku9nayo+H+XwPQppC1Yv78vYqsHcmkEW99l5Pr25Ol+7eEOiY0xPNX3L1jv6HJy5CBZiWbAmJtGp13vLrE/cAQAobDm/tOtbAIDO2+9i/cynAvczUYp+wcuz/Vl6S1+ITnba2hechLVdjf6A75+127t4X7rkshuHddu1sk1u9aldsn/JF+8JCcRKa8v68+7UYqb+ekxcKuLQ3fX4FWNEJddNM3t09fI+fPmTv8/SJADAWw3/LGmvYxMfAgB+P98PEH/38RcTHWOp7Q9q3y2HJ8IexssQIlJhsCAiFQYLIlJhsCAildhgISJPi8iCiLzuWfYdEbkoIq86/x7y/OxbIvKOiLwlIl/aroYT0c7S9CyeAfBAwPIfGGNOOf9eAgARuRPAIwBOOtv8SESiH1EQ0a4QGyyMMb8GsBy3nuMMgOeMMZvGmPcAvAMg+DknEe0qWe5ZPC4irzmXKU71YtwI4IJnnVlnGRHtcmmDxZMAPgLgFIDLAL6fdAciclZEXhGRV7ZMcNp9IsqPVMHCGDNvjOkYY7oAfoz+pcZFADd5Vj3uLAvax1PGmNPGmNNlCR5CTUT5kSpYiMj1nv9+FYD7pORFAI+ISEVEbgNwAsBvsjWRiPIgdm6IiPwMwP0AjojILIBvA7hfRE7BrhR5HsA3AcAY84aIPA/gTQBtAI8ZY3Qzo4go12KDhTHmawGL/yli/e8C+G6WRhFR/nAEJxGpMFgQkUpugkVQkl4Tk5+it15BYArbn5SXdrdyIZ+3zyYKW+Nugkoukt/AsoBSeWBRL1DM2OO9pBk+FkM6duKW1lR/H4WmP7GKeDJpudmzwoQluSmvRm/nHrewUY5cL4w2+3a5kWr34ftzzkvWdm50flx2qIF1G8ByYzLzMb2ZpoatLiTPKFReLsQmrtH4cLMS+fO5hp20x9vG//nwRKJjvLd22Ldspf2Wevvc9CyIKN8YLIhIhcGCiFQYLIhIhcGCiFQYLIhIhcGCiFRyMc7CtNvo1OuwJvvP0aWxDsAuKgR4ig7NzKC4Hly7uvpeP6HX6p1HfD+32gc930e3qTYXXGznykfjxk9km25fXdJV9GrcnukwPqZg/90wRX3hnyDlBf3guPXb9IOROpUSJirZ2gYAreXw9+fYrdqEcH2L+/b3CgBl4Y6jCPNXx/8MAHhrqj+m446Jy4mO8Zf73/Yte63EIkNENGK56Fm4vLVOZbjWqTOiU2YOBY7ODNpmmHeEp3Yk5jCrHV2ezx35mXaEZVy7XIWN0cZ5d+RoklGVQZKc90bC0aJpRlgOizq/5enkI0S7bRkoKZhW3Lm5PQrvSM9/X/x4omPcVvMXsl3tvK/enj0LIlJhsCAilVxchgRVUZebTwIACmsz9oJ1+4Zj580/ofnwp0P2NB15nOpsv49cv8t/A9SrXZ0IXN6JqaJem7cvX+qn082C3ZrSdc23DuguV7T2XXAun06uZNrPyoz+UqF0QF+1vHuhhr++649pmjTgjeXrQn92fP/VxPt77eINiauZB4mbFObezPReevzLR/4z0TGudJq+Zed4g5OIRo3BgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISIXBgohUGCyISCUXc0NMt4tuszmY/MadC+LMF5Gb7Sm6hZkZFDaDk9+Ulvtj35s3+JOctDxTkAsx0xIqK8HVq5rHol+yzQP23A5LP+1hgHaK98bR4NcgLXdOSnsz20ei0NBvXzm6pl53daqNlVa2xEJAdKGik9Nzifc3PdXEUntfliYBCC4A5OUmrvFOMw+a6xHlUMF/7sUE/QX2LIhIhcGCiFQYLIhIhcGCiFQYLIhIRYwZbcalVI0QqQNYA7A47rbssCPgOe8FeT7nW4wxM5oVcxEsAEBEXjHGnB53O3YSz3lvuFbOmZchRKTCYEFEKnkKFk+NuwFjwHPeG66Jc87NPQsiyrc89SyIKMcYLIhIhcGCiFQYLIhIhcGCiFT+Hz/SJ046PtnwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24637da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.9378080368042 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1e-05} is: \n",
      "[[  8.00004      8.           0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  8.          12.00008      0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  0.           0.           8.00004    ...   8.00004      8.00004\n",
      "    8.00004   ]\n",
      " ...\n",
      " [  0.           0.           8.00004    ... 264.00148001 264.00148001\n",
      "  264.00148   ]\n",
      " [  0.           0.           8.00004    ... 264.00148001 264.00148001\n",
      "  264.00148   ]\n",
      " [  0.           0.           8.00004    ... 264.00148    264.00148\n",
      "  264.00202   ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.21824765205383 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 0.0001} is: \n",
      "[[  8.0004       8.           0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  8.          12.0008       0.         ...   0.           0.\n",
      "    0.        ]\n",
      " [  0.           0.           8.0004     ...   8.0004       8.0004\n",
      "    8.0004    ]\n",
      " ...\n",
      " [  0.           0.           8.0004     ... 264.01480072 264.01480072\n",
      "  264.0148    ]\n",
      " [  0.           0.           8.0004     ... 264.01480072 264.01480072\n",
      "  264.0148    ]\n",
      " [  0.           0.           8.0004     ... 264.0148     264.0148\n",
      "  264.0202    ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c144390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.12432861328125 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 0.001} is: \n",
      "[[  8.004      8.         0.       ...   0.         0.         0.      ]\n",
      " [  8.        12.008      0.       ...   0.         0.         0.      ]\n",
      " [  0.         0.         8.004    ...   8.004      8.004      8.004   ]\n",
      " ...\n",
      " [  0.         0.         8.004    ... 264.148072 264.148072 264.148   ]\n",
      " [  0.         0.         8.004    ... 264.148072 264.148072 264.148   ]\n",
      " [  0.         0.         8.004    ... 264.148    264.148    264.202   ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb68902ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.32614278793335 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 0.01} is: \n",
      "[[  8.04     8.       0.     ...   0.       0.       0.    ]\n",
      " [  8.      12.08     0.     ...   0.       0.       0.    ]\n",
      " [  0.       0.       8.04   ...   8.04     8.04     8.04  ]\n",
      " ...\n",
      " [  0.       0.       8.04   ... 265.4872 265.4872 265.48  ]\n",
      " [  0.       0.       8.04   ... 265.4872 265.4872 265.48  ]\n",
      " [  0.       0.       8.04   ... 265.48   265.48   266.02  ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e59b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.2137987613678 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 0.1} is: \n",
      "[[  8.4    8.     0.   ...   0.     0.     0.  ]\n",
      " [  8.    12.8    0.   ...   0.     0.     0.  ]\n",
      " [  0.     0.     8.4  ...   8.4    8.4    8.4 ]\n",
      " ...\n",
      " [  0.     0.     8.4  ... 279.52 279.52 278.8 ]\n",
      " [  0.     0.     8.4  ... 279.52 279.52 278.8 ]\n",
      " [  0.     0.     8.4  ... 278.8  278.8  284.2 ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c1443c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.11435890197754 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1.0} is: \n",
      "[[ 12.   8.   0. ...   0.   0.   0.]\n",
      " [  8.  20.   0. ...   0.   0.   0.]\n",
      " [  0.   0.  12. ...  12.  12.  12.]\n",
      " ...\n",
      " [  0.   0.  12. ... 484. 484. 412.]\n",
      " [  0.   0.  12. ... 484. 484. 412.]\n",
      " [  0.   0.  12. ... 412. 412. 466.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.42665195465088 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 10.0} is: \n",
      "[[4.800e+01 8.000e+00 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [8.000e+00 9.200e+01 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 4.800e+01 ... 4.800e+01 4.800e+01 4.800e+01]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 4.800e+01 ... 8.944e+03 8.944e+03 1.744e+03]\n",
      " [0.000e+00 0.000e+00 4.800e+01 ... 8.944e+03 8.944e+03 1.744e+03]\n",
      " [0.000e+00 0.000e+00 4.800e+01 ... 1.744e+03 1.744e+03 2.284e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.08107781410217 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 100.0} is: \n",
      "[[4.08000e+02 8.00000e+00 0.00000e+00 ... 0.00000e+00 0.00000e+00\n",
      "  0.00000e+00]\n",
      " [8.00000e+00 8.12000e+02 0.00000e+00 ... 0.00000e+00 0.00000e+00\n",
      "  0.00000e+00]\n",
      " [0.00000e+00 0.00000e+00 4.08000e+02 ... 4.08000e+02 4.08000e+02\n",
      "  4.08000e+02]\n",
      " ...\n",
      " [0.00000e+00 0.00000e+00 4.08000e+02 ... 7.35064e+05 7.35064e+05\n",
      "  1.50640e+04]\n",
      " [0.00000e+00 0.00000e+00 4.08000e+02 ... 7.35064e+05 7.35064e+05\n",
      "  1.50640e+04]\n",
      " [0.00000e+00 0.00000e+00 4.08000e+02 ... 1.50640e+04 1.50640e+04\n",
      "  2.04640e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.154428482055664 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1000.0} is: \n",
      "[[4.0080000e+03 8.0000000e+00 0.0000000e+00 ... 0.0000000e+00\n",
      "  0.0000000e+00 0.0000000e+00]\n",
      " [8.0000000e+00 8.0120000e+03 0.0000000e+00 ... 0.0000000e+00\n",
      "  0.0000000e+00 0.0000000e+00]\n",
      " [0.0000000e+00 0.0000000e+00 4.0080000e+03 ... 4.0080000e+03\n",
      "  4.0080000e+03 4.0080000e+03]\n",
      " ...\n",
      " [0.0000000e+00 0.0000000e+00 4.0080000e+03 ... 7.2148264e+07\n",
      "  7.2148264e+07 1.4826400e+05]\n",
      " [0.0000000e+00 0.0000000e+00 4.0080000e+03 ... 7.2148264e+07\n",
      "  7.2148264e+07 1.4826400e+05]\n",
      " [0.0000000e+00 0.0000000e+00 4.0080000e+03 ... 1.4826400e+05\n",
      "  1.4826400e+05 2.0226400e+05]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADeZJREFUeJzt3V+MVOUZx/HfU0GMRqOUliDa1lJiov1DZAMbogS3iVXTFLgRvKjEmKIJprdgb/TGRC9kE5MqwZSIF/7hxsgFLRp6YRNjFRNi0dQ6KEZ2kbWlsY1YdPHpxZzFYXaGeXbOmXnP7Pl+EjIz75yZ85wz7C/nvPOed8zdBQCdfCt1AQAGA2EBIISwABBCWAAIISwAhBAWAEKSh4WZ3Wpm75lZzcy2pa6nV8zsqJn9zcwOmdnBrG2+mb1iZu9nt1ekrjMPM9tlZhNmdrihreU2Wt3j2ef+tpndkK7y7rXZ5ofMbCz7rA+Z2e0Nzz2QbfN7ZvaLNFV3J2lYmNkFkn4v6TZJ10m608yuS1lTj93s7svcfSh7vE3SAXdfKulA9niQPS3p1qa2dtt4m6Sl2b/Nkp7sU41Fe1rTt1mSRrPPepm775Ok7P/2RknXZ695IvsbGAipjyxWSKq5+wfu/qWk5yWtTVxTP62VtDu7v1vSuoS15Obur0o62dTcbhvXSnrG616XdLmZLepPpcVps83trJX0vLufdvcPJdVU/xsYCKnDYrGkjxseH8vaZiOX9LKZvWVmm7O2he5+PLv/iaSFaUrrqXbbONs/+/uz06tdDaeXA73NqcOiSm509xtUP/zeYmarG5/0+rj7WT32vgrbmHlS0hJJyyQdl/RY2nKKkTosxiRd3fD4qqxt1nH3sex2QtKLqh9+npg69M5uJ9JV2DPttnHWfvbufsLdz7j715Ke0jenGgO9zanD4k1JS83sGjO7UPXOn72JayqcmV1iZpdO3Zd0i6TDqm/rpmyxTZJeSlNhT7Xbxr2S7sq+FRmW9FnD6cpAa+p7Wa/6Zy3Vt3mjmc0zs2tU79x9o9/1dWtOypW7+6SZ3S9pv6QLJO1y93dS1tQjCyW9aGZSfZ8/6+5/MrM3Je0xs3skfSTpjoQ15mZmz0laI2mBmR2T9KCkR9R6G/dJul31Tr5Tku7ue8EFaLPNa8xsmeqnXEcl3StJ7v6Ome2R9K6kSUlb3P1Mirq7YVyiDiAi9WkIgAFBWAAIISwAhBAWAEIICwAhPQuLmV5N2jAEujLY5mqYLdvck7Do8mrSWbFDZ4htroZZsc29OrKo+tWkwKzTqxGcra6uW9lu4Qttnl+ki3WZza/UCDG2uRrKvM3/0+f60k9bZNlkw72z87jNUn1n3vjNZEIA+uSvfiC8bK9OQzpeXefuO919yN2H5mpej8oAUJRehUUlriYFqqQnpyEVupoUqIye9Vlkk5Tu69X7A+gvRnACCCEsAIQQFgBCCAsAIYQFgBDCAkAIYQEghLAAEEJYAAghLACEEBYAQggLACGEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhAWAEMICQAhhASCEsAAQQlgACCEsAIQQFgBCCAsAIYRFky/WrdAX61YkWW/ZNe6bU+tXTmtLYaqO5rba9mHVtg+f83xt+3Do9XlriLzn1DJTtRa17l4iLACEmLunrkGX2XxfaT9PXQZQOX/1A/qPn7TIshxZnMfkyPJKr79bkyPLB7Z2tMeRBVBhHFkAKBxhASCEsAAQQlgACCEsAIQQFgBCCAsAIYQFgBDCogBlvgisU22pLwRrpQz1RC7uynMBWAp562UEJ1BhjOAEUDjCAkAIYQEghLAAEEJYAAghLACEEBYAQggLACGEBYCQOXlebGZHJf1X0hlJk+4+ZGbzJb0g6QeSjkq6w93/na9MAKkVcWRxs7svc/eh7PE2SQfcfamkA9ljAAOuF6chayXtzu7vlrSuB+sA0Gd5w8IlvWxmb5nZ5qxtobsfz+5/ImlhznUAKIFcfRaSbnT3MTP7rqRXzOzvjU+6u5tZy8tas3DZLEkX6eKcZQDotVxHFu4+lt1OSHpR0gpJJ8xskSRltxNtXrvT3YfcfWiu5uUpA0AfdB0WZnaJmV06dV/SLZIOS9oraVO22CZJL+Utsp9STQbTz1/D7tap9SvP+fXv5rZUNbVq41fUi9f15Ddm9kPVjyak+unMs+7+sJl9W9IeSd+T9JHqX52ePN97MfkNkMZMJr/pus/C3T+Q9LMW7f+SxF8+MMswghNACGEBIISwOI/JkeWVXn+3JkeWD2ztaI/ZvYEKY3ZvAIUjLACEEBYAQggLACGEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhAWAEMICQAhhASCEsChAitnAozrVlmo28/Mpw0znkRm388zKnULeepn8BqgwJr8BUDjCAkAIYQEghLAAEEJYAAghLACEEBYFKNs4hUadakv9K+itlGF/Ms5iOsICQAiDsoAKY1AWgMIRFgBCCAsAIYQFgBDCAkAIYQEghLAAEEJYAAghLJqkmmaubEOuW2kcGt54m7L2Vus+tX6latuHVds+fM7zrYY7F1F783tE3rNx/+UZht3PfU9YAAhhuDdmbGzrKi1+9LXUZcwqY1tXSdKM92vez4Lh3jmkOqwepNOQxY++Vv7TkNFh1UabTkNGS3oaMjqsxY++1tUf/RX/ODPj13SLIwugwjiyyIEOzvbo4IzVQAcngErjNASoME5DABSOsAAQQlicx+TI8kqvv1uTI8sHtna0R1gACKGDE6gwOjgBFK5jWJjZLjObMLPDDW3zzewVM3s/u70iazcze9zMamb2tpnd0MviAfRP5MjiaUm3NrVtk3TA3ZdKOpA9lqTbJC3N/m2W9GQxZQJIrWNYuPurkk42Na+VtDu7v1vSuob2Z7zudUmXm9mioooFkE63fRYL3f14dv8TSQuz+4slfdyw3LGsDcCAy93B6fWvU2b8lYqZbTazg2Z28CudzlsGgB7rNixOTJ1eZLcTWfuYpKsblrsqa5vG3Xe6+5C7D83VvC7LANAv3YbFXkmbsvubJL3U0H5X9q3IsKTPGk5XAAywOZ0WMLPnJK2RtMDMjkl6UNIjkvaY2T2SPpJ0R7b4Pkm3S6pJOiXp7h7UDCCBjmHh7ne2eWrakMus/2JL3qIAlA8jOAGEEBYAQggLACGERQFSTPAb1WlC11QTFJ9PGSYvjkyim2ei3RRa/RTCTHCJOlBhXKIOoHCEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhEWTU+tXJhluXIYhzp007pvG25S1t1r3qfUrVRsdVm10+JznWw3PLqL25veIvGfj/sszDLuf+57h3kCFMdwbQOEICwAhhAWAEMKiCR2c7Q18B2eLjkQ6OOMIiybjN5nGbwr19xS+3rJr3Dfjq21aW5KaVk9f9/hq05ENO3Rkw45znj+yYUfo9XlriLzn2f2X1VrUunuJsAAQ0vGnAKrmyr+k+So51XpnorHGK1/1aW0pTNXR3LZE9017fskL9+lHer3j6/PWEHnPs/svq7W5rm7X3UuMswAqjHEWAApHWDSpbR9OMmvzIMwU3bhvpnrwU+2vxpqmtY0Oa//4Ie0fP3TONw37xw+1XDZ3DU3vEXnPs/svq7WodfcSpyFAhXEaAqBwhAWAEMICQAhh0YTh3u0x3DtWw2wd7k0HJ1BhdHACKBxhASCEsAAQQlgACCEsClDmodqdaks9XLuVMtQTGYKdZ5h2Cnnr5dsQoML4NgRA4QgLACGEBYAQwgJACGEBIISwABBCWAAIISwKUIZBRO0wKKs7DMqajkFZQIUxKCsHJr9pj8lvYjUw+U0PcWQBpMGRBYDCERYAQgiLJvRZtEefRayGyvZZmNkuSb+UNOHuP87aHpL0G0mfZov9zt33Zc89IOkeSWck/dbd93cqgj4LII2i+yyelnRri/ZRd1+W/ZsKiuskbZR0ffaaJ8zsgljZAMqsY1i4+6uSTgbfb62k5939tLt/KKkmaUWO+gCURJ4+i/vN7G0z22VmV2RtiyV93LDMsawNwIDrNiyelLRE0jJJxyU9NtM3MLPNZnbQzA5+pdNdlgGgX7oKC3c/4e5n3P1rSU/pm1ONMUlXNyx6VdbW6j12uvuQuw/N1bxuygDQR12FhZktani4XtLh7P5eSRvNbJ6ZXSNpqaQ38pUIoAzmdFrAzJ6TtEbSAjM7JulBSWvMbJkkl3RU0r2S5O7vmNkeSe9KmpS0xd3P9KZ0AP0U+TbkTndf5O5z3f0qd/+Du//a3X/i7j9191+5+/GG5R929yXufq27/7G35RePQVntMSgrVkNlB2X1A4OygDS4kCwHjiza48giVsNsPbIgLJqM32QavykUtIWvt+wa9834apvWlqSm1dPXPb7adGTDDh3ZsOOc549s2BF6fd4aIu95dv9ltRa17l7iNAQzNrZ1lRY/+lrqMmaVsa2rJGnG+zXvZ8FpCIDCcWQBVBhHFgAKR1gACCEsAIQQFgBCCAsAIYQFgBDCAkAIYQEghLAABszkyHJNjizv+3oJCwAhHWfKAlAuc/78VpL1cmTRhPks2pvaN2NbVzGfxXneo5v5LMa2rjp75elMfLr32hm/pltcSAZUGBeSASgcYQEghLAAEEJYAAghLACEEBYAQggLACGEBYAQwgJACGFRgNr27n9+rtc61VbbPly6+vP8nF9R9o8fKmSZMslbL8O9gQpjuDeAwhEWAEIICwAhhAWAkFJ0cJrZp5I+l/TP1LX02QKxzVVQ5m3+vrt/J7JgKcJCkszsoLsPpa6jn9jmapgt28xpCIAQwgJASJnCYmfqAhJgm6thVmxzafosAJRbmY4sAJQYYQEghLAAEEJYAAghLACE/B/atTMOrx3OqQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.17109155654907 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 10000.0} is: \n",
      "[[4.00080000e+04 8.00000000e+00 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [8.00000000e+00 8.00120000e+04 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00080000e+04 ... 4.00080000e+04\n",
      "  4.00080000e+04 4.00080000e+04]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00080000e+04 ... 7.20148026e+09\n",
      "  7.20148026e+09 1.48026400e+06]\n",
      " [0.00000000e+00 0.00000000e+00 4.00080000e+04 ... 7.20148026e+09\n",
      "  7.20148026e+09 1.48026400e+06]\n",
      " [0.00000000e+00 0.00000000e+00 4.00080000e+04 ... 1.48026400e+06\n",
      "  1.48026400e+06 2.02026400e+06]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.225682973861694 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 100000.0} is: \n",
      "[[4.0000800e+05 8.0000000e+00 0.0000000e+00 ... 0.0000000e+00\n",
      "  0.0000000e+00 0.0000000e+00]\n",
      " [8.0000000e+00 8.0001200e+05 0.0000000e+00 ... 0.0000000e+00\n",
      "  0.0000000e+00 0.0000000e+00]\n",
      " [0.0000000e+00 0.0000000e+00 4.0000800e+05 ... 4.0000800e+05\n",
      "  4.0000800e+05 4.0000800e+05]\n",
      " ...\n",
      " [0.0000000e+00 0.0000000e+00 4.0000800e+05 ... 7.2001480e+11\n",
      "  7.2001480e+11 1.4800264e+07]\n",
      " [0.0000000e+00 0.0000000e+00 4.0000800e+05 ... 7.2001480e+11\n",
      "  7.2001480e+11 1.4800264e+07]\n",
      " [0.0000000e+00 0.0000000e+00 4.0000800e+05 ... 1.4800264e+07\n",
      "  1.4800264e+07 2.0200264e+07]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb689026d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.07739186286926 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1000000.0} is: \n",
      "[[4.00000800e+06 8.00000000e+00 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [8.00000000e+00 8.00001200e+06 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000800e+06 ... 4.00000800e+06\n",
      "  4.00000800e+06 4.00000800e+06]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00000800e+06 ... 7.20001480e+13\n",
      "  7.20001480e+13 1.48000264e+08]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000800e+06 ... 7.20001480e+13\n",
      "  7.20001480e+13 1.48000264e+08]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000800e+06 ... 1.48000264e+08\n",
      "  1.48000264e+08 2.02000264e+08]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.102808237075806 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 10000000.0} is: \n",
      "[[4.00000080e+07 8.00000000e+00 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [8.00000000e+00 8.00000120e+07 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000080e+07 ... 4.00000080e+07\n",
      "  4.00000080e+07 4.00000080e+07]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00000080e+07 ... 7.20000148e+15\n",
      "  7.20000148e+15 1.48000026e+09]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000080e+07 ... 7.20000148e+15\n",
      "  7.20000148e+15 1.48000026e+09]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000080e+07 ... 1.48000026e+09\n",
      "  1.48000026e+09 2.02000026e+09]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAADeJJREFUeJzt3V+sFOUZx/HfU0GMRqPUliDY1lJiov1D5AROiBCkiVXTFLgRvajEmKKJprdob/TGRC7kJCYVgikRL/zDjZELWjT0wibGKibEoql1UYycg2BLYxux6MGnFzsHlz277HN2Zved3fl+ErK7787uPDPL+WXm3XfeNXcXAHTyrdQFABgMhAWAEMICQAhhASCEsAAQQlgACEkeFmZ2i5m9Z2Y1M3swdT29YmZHzOxvZnbQzA5kbXPN7BUzez+7vSJ1nXmY2U4zO2FmhxraWm6j1T2Rfe5vm9kN6SrvXpttfsTMxrPP+qCZ3dbw3EPZNr9nZr9IU3V3koaFmV0g6feSbpV0naQ7zey6lDX12E3uvsTdR7LHD0ra7+6LJe3PHg+ypyXd0tTWbhtvlbQ4+7dJ0rY+1Vi0pzV9myVpLPusl7j7XknK/m/fIen67DVPZn8DAyH1kcUySTV3/8Ddv5T0vKS1iWvqp7WSdmX3d0lal7CW3Nz9VUknm5rbbeNaSc943euSLjez+f2ptDhttrmdtZKed/fT7v6hpJrqfwMDIXVYLJD0ccPjo1nbMHJJL5vZW2a2KWub5+7HsvufSJqXprSeareNw/7ZP5CdXu1sOL0c6G1OHRZVcqO736D64ff9Zraq8Umvj7sf6rH3VdjGzDZJiyQtkXRM0uNpyylG6rAYl3R1w+OFWdvQcffx7PaEpBdVP/w8PnXond2eSFdhz7TbxqH97N39uLufcfevJT2lb041BnqbU4fFm5IWm9k1Znah6p0/exLXVDgzu8TMLp26L+lmSYdU39aN2WIbJb2UpsKeareNeyTdlX0rMirps4bTlYHW1PeyXvXPWqpv8x1mNsfMrlG9c/eNftfXrVkpV+7uk2b2gKR9ki6QtNPd30lZU4/Mk/SimUn1ff6su//JzN6UtNvM7pH0kaTbE9aYm5k9J2m1pCvN7KikhyU9ptbbuFfSbap38p2SdHffCy5Am21ebWZLVD/lOiLpXkly93fMbLekdyVNSrrf3c+kqLsbxiXqACJSn4YAGBCEBYAQwgJACGEBIISwABDSs7CY6dWkDUOgK4NtroZh2eaehEWXV5MOxQ6dIba5GoZim3t1ZFH1q0mBodOrEZytrq5b3m7hC22OX6SLdZnNrdQIMba5Gsq8zf/T5/rST1tk2WTDvbPzuE1SfWfe+M1kQgD65K++P7xsr05DOl5d5+473H3E3Udma06PygBQlF6FRSWuJgWqpCenIRW6mhSojJ71WWSTlO7t1fsD6C9GcAIIISwAhBAWAEIICwAhhAWAEMICQAhhASCEsAAQQlgACCEsAIQQFgBCCAsAIYQFgBDCAkAIYQEghLAAEEJYAAghLACEEBYAQggLACGEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIICwAhhEWTL9Yt0xfrliVZb9k17ptT65dPa0thqo7mttrWUdW2jp7zfG3raOj1eWuIvOfUMlO1FrXuXiIsAISYu6euQZfZXF9uP09dBlA5f/X9+o+ftMiyHFmcx+SapZVef7cm1ywd2NrRHkcWQIVxZAGgcIQFgBDCAkAIYQEghLAAEEJYAAghLACEEBYAQgiLApT5IrBOtaW+EKyVMtQTubgrzwVgKeStlxGcQIUxghNA4QgLACGEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEJm5XmxmR2R9F9JZyRNuvuImc2V9IKkH0g6Iul2d/93vjIBpFbEkcVN7r7E3Ueyxw9K2u/uiyXtzx4DGHC9OA1ZK2lXdn+XpHU9WAeAPssbFi7pZTN7y8w2ZW3z3P1Ydv8TSfNyrgNACeTqs5B0o7uPm9l3Jb1iZn9vfNLd3cxaXtaahcsmSbpIF+csA0Cv5TqycPfx7PaEpBclLZN03MzmS1J2e6LNa3e4+4i7j8zWnDxlAOiDrsPCzC4xs0un7ku6WdIhSXskbcwW2yjppbxF9lOqyWD6+WvY3Tq1fvk5v/7d3JaqplZt/Ip68bqe/MbMfqj60YRUP5151t0fNbNvS9ot6XuSPlL9q9OT53svJr8B0pjJ5Ddd91m4+weSftai/V+S+MsHhgwjOAGEEBYAQgiL85hcs7TS6+/W5JqlA1s72mN2b6DCmN0bQOEICwAhhAWAEMICQAhhASCEsAAQQlgACCEsAIQQFgBCCAsAIYQFgBDCAkAIYQEghLAAEEJYAAghLAqQYjbwqE61pZrN/HzKMNN5ZMbtPLNyp5C3Xia/ASqMyW8AFI6wABBCWAAIISwAhBAWAEIICwAhhEUByjZOoVGn2lL/CnorZdifjLOYjrAAEMKgLKDCGJQFoHCEBYAQwgJACGEBIISwABBCWAAIISwAhBAWAEIIiyapppkr25DrVhqHhjfepqy91bpPrV+u2tZR1baOnvN8q+HORdTe/B6R92zcf3mGYfdz3xMWAEIY7o0ZG9+8Qgu2vJa6jKEyvnmFJM14v+b9LBjunUOqw+pBOg1ZsOW18p+GjI2qNtZ0GjJW0tOQsVEt2PJaV3/0V/zjzIxf0y2OLIAK48giBzo426ODM1YDHZwAKo3TEKDCOA0BUDjCAkAIYXEek2uWVnr93Zpcs3Rga0d7hAWAEDo4gQqjgxNA4TqGhZntNLMTZnaooW2umb1iZu9nt1dk7WZmT5hZzczeNrMbelk8gP6JHFk8LemWprYHJe1398WS9mePJelWSYuzf5skbSumTACpdQwLd39V0smm5rWSdmX3d0la19D+jNe9LulyM5tfVLEA0um2z2Keux/L7n8iaV52f4GkjxuWO5q1ARhwuTs4vf51yoy/UjGzTWZ2wMwOfKXTecsA0GPdhsXxqdOL7PZE1j4u6eqG5RZmbdO4+w53H3H3kdma02UZAPql27DYI2ljdn+jpJca2u/KvhUZlfRZw+kKgAE2q9MCZvacpNWSrjSzo5IelvSYpN1mdo+kjyTdni2+V9JtkmqSTkm6uwc1A0igY1i4+51tnpo25DLrv7g/b1EAyocRnABCCAsAIYQFgBDCogApJviN6jSha6oJis+nDJMXRybRzTPRbgqtfgphJrhEHagwLlEHUDjCAkAIYQEghLAAEEJYAAghLACEEBYAQggLACGEBYAQwqLJqfXLkww3LsMQ504a903jbcraW6371Prlqo2NqjY2es7zrYY7F1F783tE3rNx/+UZht3Pfc9wb6DCGO4NoHCEBYAQwgJACGHRhA7O9ujgjNUwrB2chEWTiZWmiZWh/p7C11t2jftmYpVNa0tS06rp655YZTq8YbsOb9h+zvOHN2wPvT5vDZH3PLv/slqLWncvERYAQjr+FEDVXPWXNF8lp1rvTDTWeNWrPq0thak6mtsW6b5pzy964T79SK93fH3eGiLveXb/ZbU219XtunuJcRZAhTHOAkDhCIsmta2jSWZtHoSZohv3zVQPfqr9dbamFt8k1MZGtW/ioPZNHDzn+X0TB0Ovz1tD5D3P7r+s1qLW3UuchgAVxmkIgMIRFgBCCAsAIYRFE4Z7t8dw71gNwzrcmw5OoMLo4ARQOMICQAhhASCEsAAQQlgUoMxDtTvVlnq4ditlqCcyBDvPMO0U8tbLtyFAhfFtCIDCERYAQggLACGEBYAQwgJACGEBIISwABBCWBSgDIOI2mFQVncYlDUdg7KACmNQVg5MftMek9/EamDymx7iyAJIgyMLAIUjLACEEBZN6LNojz6LWA2V7bMws52SfinphLv/OGt7RNJvJH2aLfY7d9+bPfeQpHsknZH0W3ff16kI+iyANIrus3ha0i0t2sfcfUn2byoorpN0h6Trs9c8aWYXxMoGUGYdw8LdX5V0Mvh+ayU97+6n3f1DSTVJy3LUB6Ak8vRZPGBmb5vZTjO7ImtbIOnjhmWOZm0ABly3YbFN0iJJSyQdk/T4TN/AzDaZ2QEzO/CVTndZBoB+6Sos3P24u59x968lPaVvTjXGJV3dsOjCrK3Ve+xw9xF3H5mtOd2UAaCPugoLM5vf8HC9pEPZ/T2S7jCzOWZ2jaTFkt7IVyKAMpjVaQEze07SaklXmtlRSQ9LWm1mSyS5pCOS7pUkd3/HzHZLelfSpKT73f1Mb0oH0E+Rb0PudPf57j7b3Re6+x/c/dfu/hN3/6m7/8rdjzUs/6i7L3L3a939j70tv3gMymqPQVmxGio7KKsfGJQFpMGFZDlwZNEeRxaxGob1yIKwaDKx0jSxMhS0ha+37Br3zcQqm9aWpKZV09c9scp0eMN2Hd6w/ZznD2/YHnp93hoi73l2/2W1FrXuXuI0BDM2vnmFFmx5LXUZQ2V88wpJmvF+zftZcBoCoHAcWQAVxpEFgMIRFgBCCAsAIYQFgBDCAkAIYQEghLAAEEJYAAghLIABM7lmqSbXLO37egkLACEdZ8oCUC6z/vxWkvVyZNGE+Szam9o345tXMJ/Fed6jm/ksxjevOHvl6Ux8uufaGb+mW1xIBlQYF5IBKBxhASCEsAAQQlgACCEsAIQQFgBCCAsAIYQFgBDCAkAIYVGA2tbuf36u1zrVVts6Wrr68/ycX1H2TRwsZJkyyVsvw72BCmO4N4DCERYAQggLACGEBYCQUnRwmtmnkj6X9M/UtfTZlWKbq6DM2/x9d/9OZMFShIUkmdkBdx9JXUc/sc3VMCzbzGkIgBDCAkBImcJiR+oCEmCbq2Eotrk0fRYAyq1MRxYASoywABBCWAAIISwAhBAWAEL+D6ebMxAitp8ZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.14411973953247 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 100000000.0} is: \n",
      "[[4.00000008e+08 8.00000000e+00 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [8.00000000e+00 8.00000012e+08 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000008e+08 ... 4.00000008e+08\n",
      "  4.00000008e+08 4.00000008e+08]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00000008e+08 ... 7.20000015e+17\n",
      "  7.20000015e+17 1.48000003e+10]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000008e+08 ... 7.20000015e+17\n",
      "  7.20000015e+17 1.48000003e+10]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000008e+08 ... 1.48000003e+10\n",
      "  1.48000003e+10 2.02000003e+10]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.30718159675598 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 1000000000.0} is: \n",
      "[[4.00000001e+09 8.00000000e+00 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [8.00000000e+00 8.00000001e+09 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000001e+09 ... 4.00000001e+09\n",
      "  4.00000001e+09 4.00000001e+09]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00000001e+09 ... 7.20000001e+19\n",
      "  7.20000001e+19 1.48000000e+11]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000001e+09 ... 7.20000001e+19\n",
      "  7.20000001e+19 1.48000000e+11]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000001e+09 ... 1.48000000e+11\n",
      "  1.48000000e+11 2.02000000e+11]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f81d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 34.202890396118164 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 2.0, 'lmda': 10000000000.0} is: \n",
      "[[4.00e+10 8.00e+00 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [8.00e+00 8.00e+10 0.00e+00 ... 0.00e+00 0.00e+00 0.00e+00]\n",
      " [0.00e+00 0.00e+00 4.00e+10 ... 4.00e+10 4.00e+10 4.00e+10]\n",
      " ...\n",
      " [0.00e+00 0.00e+00 4.00e+10 ... 7.20e+21 7.20e+21 1.48e+12]\n",
      " [0.00e+00 0.00e+00 4.00e+10 ... 7.20e+21 7.20e+21 1.48e+12]\n",
      " [0.00e+00 0.00e+00 4.00e+10 ... 1.48e+12 1.48e+12 2.02e+12]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.765599966049194 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1e-10} is: \n",
      "[[  33.           26.            4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [  26.           40.00000001    4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [   4.            4.           33.         ...   49.\n",
      "    49.           49.        ]\n",
      " ...\n",
      " [  20.           20.           49.         ... 1417.00000026\n",
      "  1417.00000026 1349.00000028]\n",
      " [  20.           20.           49.         ... 1417.00000026\n",
      "  1417.00000027 1349.00000029]\n",
      " [  20.           20.           49.         ... 1349.00000028\n",
      "  1349.00000029 1287.00000047]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f2198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.46338510513306 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1e-09} is: \n",
      "[[  33.00000003   26.            4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [  26.           40.00000006    4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [   4.            4.           33.00000003 ...   49.00000003\n",
      "    49.00000003   49.00000003]\n",
      " ...\n",
      " [  20.           20.           49.00000003 ... 1417.00000264\n",
      "  1417.00000262 1349.00000278]\n",
      " [  20.           20.           49.00000003 ... 1417.00000262\n",
      "  1417.00000267 1349.00000291]\n",
      " [  20.           20.           49.00000003 ... 1349.00000278\n",
      "  1349.00000291 1287.00000474]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.3702609539032 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1e-08} is: \n",
      "[[  33.00000032   26.            4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [  26.           40.00000064    4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [   4.            4.           33.00000032 ...   49.00000032\n",
      "    49.00000032   49.00000032]\n",
      " ...\n",
      " [  20.           20.           49.00000032 ... 1417.00002644\n",
      "  1417.0000262  1349.00002784]\n",
      " [  20.           20.           49.00000032 ... 1417.0000262\n",
      "  1417.00002666 1349.00002907]\n",
      " [  20.           20.           49.00000032 ... 1349.00002784\n",
      "  1349.00002907 1287.00004736]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.134641885757446 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1e-07} is: \n",
      "[[  33.0000032   26.           4.        ...   20.          20.\n",
      "    20.       ]\n",
      " [  26.          40.0000064    4.        ...   20.          20.\n",
      "    20.       ]\n",
      " [   4.           4.          33.0000032 ...   49.0000032   49.0000032\n",
      "    49.0000032]\n",
      " ...\n",
      " [  20.          20.          49.0000032 ... 1417.0002644 1417.000262\n",
      "  1349.0002784]\n",
      " [  20.          20.          49.0000032 ... 1417.000262  1417.0002666\n",
      "  1349.0002907]\n",
      " [  20.          20.          49.0000032 ... 1349.0002784 1349.0002907\n",
      "  1287.0004736]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.77328538894653 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1e-06} is: \n",
      "[[  33.000032     26.            4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [  26.           40.000064      4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [   4.            4.           33.000032   ...   49.000032\n",
      "    49.000032     49.000032  ]\n",
      " ...\n",
      " [  20.           20.           49.000032   ... 1417.002644\n",
      "  1417.00262    1349.002784  ]\n",
      " [  20.           20.           49.000032   ... 1417.00262\n",
      "  1417.002666   1349.002907  ]\n",
      " [  20.           20.           49.000032   ... 1349.002784\n",
      "  1349.002907   1287.00473601]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.08638668060303 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1e-05} is: \n",
      "[[  33.00032      26.            4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [  26.           40.00064       4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [   4.            4.           33.00032    ...   49.00032\n",
      "    49.00032      49.00032   ]\n",
      " ...\n",
      " [  20.           20.           49.00032    ... 1417.02644033\n",
      "  1417.02620029 1349.02784013]\n",
      " [  20.           20.           49.00032    ... 1417.02620029\n",
      "  1417.0266603  1349.0290702 ]\n",
      " [  20.           20.           49.00032    ... 1349.02784013\n",
      "  1349.0290702  1287.04736051]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.63325810432434 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 0.0001} is: \n",
      "[[  33.0032       26.            4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [  26.           40.00640032    4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [   4.            4.           33.0032     ...   49.0032\n",
      "    49.0032       49.0032    ]\n",
      " ...\n",
      " [  20.           20.           49.0032     ... 1417.26443272\n",
      "  1417.26202868 1349.27841344]\n",
      " [  20.           20.           49.0032     ... 1417.26202868\n",
      "  1417.26663004 1349.2907195 ]\n",
      " [  20.           20.           49.0032     ... 1349.27841344\n",
      "  1349.2907195  1287.4736514 ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.54682493209839 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 0.001} is: \n",
      "[[  33.032        26.            4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [  26.           40.064032      4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [   4.            4.           33.032      ...   49.032\n",
      "    49.032        49.032     ]\n",
      " ...\n",
      " [  20.           20.           49.032      ... 1419.6472735\n",
      "  1419.62286876 1351.78534411]\n",
      " [  20.           20.           49.032      ... 1419.62286876\n",
      "  1419.66900512 1351.90895058]\n",
      " [  20.           20.           49.032      ... 1351.78534411\n",
      "  1351.90895058 1291.74114165]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f2940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.84195923805237 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 0.01} is: \n",
      "[[  33.32         26.            4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [  26.           40.6432        4.         ...   20.\n",
      "    20.           20.        ]\n",
      " [   4.            4.           33.32       ...   49.32\n",
      "    49.32         49.32      ]\n",
      " ...\n",
      " [  20.           20.           49.32       ... 1443.76870688\n",
      "  1443.48756    1376.974512  ]\n",
      " [  20.           20.           49.32       ... 1443.48756\n",
      "  1443.96152288 1378.265576  ]\n",
      " [  20.           20.           49.32       ... 1376.974512\n",
      "  1378.265576   1334.875648  ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.495763063430786 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 0.1} is: \n",
      "[[  36.2      26.        4.     ...   20.       20.       20.    ]\n",
      " [  26.       46.72      4.     ...   20.       20.       20.    ]\n",
      " [   4.        4.       36.2    ...   52.2      52.2      52.2   ]\n",
      " ...\n",
      " [  20.       20.       52.2    ... 1715.6528 1708.44   1640.952 ]\n",
      " [  20.       20.       52.2    ... 1708.44   1714.7888 1659.776 ]\n",
      " [  20.       20.       52.2    ... 1640.952  1659.776  1813.648 ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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tEN9P8xvTcxlDVovw8Rf7YLhDpJvXMMJ/XhgsAcVbZPs6CSSzjA0xIr4n/VKvCIhAOwNM/FTcs/Z99kRwl01R9/TcA8QvLqExT5luEMV6MnCe6EQnOoruhWTxMuLrOF8ODec9KeDlDU+MjzlqsrguydgrANwsUnJikziqL0A9BhV7bbjyJHT5rZAV0yeuZhpDkW6sSsIMmgg1rzSKPAfXzPFUnR3Szhy5SFyvYz71PZmmLpj+rp9eJZjUr17TKHCtZt2GtI05N/0r0L1gFhwjeLcDtaKTcgg5hZpGj1qQlgKuAIhNIoGvLPrQPXgg+rlJmONsdKA+tJAeUtukhyfH46ef7YvuzsE9flSJuTwGUOMzghPOeDHUOKv3NDYFHosngccxw8Xjk8/k1OWieBvSOACA+x7UdRKl+DLQF1DAXPalmcKmrTEyRrGVTFWVCeANjU+AsYnxkxn84grTlIgAgLatwG0A4D78vqK+THRnqlTGCbDKLgCivOC48bVIrrToMmOgpwYF2rYyX8lOxF///oK7UPUNKIZvC5pLkdIUxdNT4SxUfWz2Db2zRmJzTjbiTih+48PiOdFLAPDCZ3uJzIErmA0kGwoAeEL8gcfCLPXdJYD/2fGpDe8Fs5gjntEXFaSlng4A2dvBU5yu6nYc919+oCzu0nhtSGTOhqRsZ4hR2hsZrEyBY8Lr686S2rvOWzHxUHCoXxoMo/HGGNANszCXqcQ1XUBKuqCVcWXQj+x82Z7ivdg85oKipp4KmxRomnzmQIyJDQ7kMRkHDfOmkWqPVDZEav+cgKZeMtY521e1GL2vJVVFyKrtaNeDgzAc7tri4bCSlAFKcSNzRlebwkQss7AMcCp5THd8fZ+n76WOTe1AzmUmROsteNfUgDfL5DB1FJyJBGMYFr3MLjOhe8ssKlyFHlMrvPFwVF4Pa+lXLEbCYQCojFY5tiLjIhpUouMwFIu3kSyoaYSRZMkC4p0IofKqXIeDsJIF1E0M87K0jQjYU8kiRjnX4jhkcsoYLU3EbELy8ljPBFB2tuViXrKwpJGOU8bELEldZiQLmpEsLKZDIeAWcwCgQJtDFG+F7c/k/rOShV3ozhXsAmAki/SuLTqBgMeIuOzger/fhjKFRnAUFBhsvWG3lSz05/W8+hHPFnvzw+7sRpLF+GABv3GVFDc1Or+M7hWzyKpF2xTrvPlNcRc5RRkOSxYZi6E4DKDCYewtiCMlC1aR1eimbDmavccdShaYBoQdwHKQdxVWI8OMJy7LnHLtQL/37vU6JIupVGBVpjkdeybi97VKFuttlmrcMFY7NqhmAPJ+GFf3HUsWzrjf9d2jMdxIsmjHKO+nmadZte0AnbwhJzrRiY6ieyVZ1CHqNcdzi0XGXdjo0SxQhNrO4UzeAZUo3Nfez6JkSNGhexw/txtynsS8I5KoIdWOSknV2e1EzXgs6fjiJ58exDTICRPswxTvcCCJDCKL2nJWJ+GZIkABZBg7EWWAD/d9rTrojvj+I1A/ZAPrS2mye1VkpZbpNROiRbenxuxRmhteLYAn14RkH0LKmt8riXViwKbVquBaQpxISGlcKSpUo5zj+w9AHz15OSbjZX2dXncozd1Skj/xw/MC9vrOx4Cb5K6dSmV2fhufEKJGCrpBt+8Vs7gTsg/jtklDLLGqBKatQ+L7XdLkJeMZGTEbhO3LY9x16YB8hPB65uemZBGVSlNmFKMYHd9UX7Q/RvXDhBkTIEx7mqTprsgAz7L794ZEIc4w5HfVwHmEL/ha3MXL6HVkNSKHvYzS9rc3lTkJeGlsST5GVDMMa0gkyhISTV2hb4qyYdbs8kR7UtfUtXpnfamQlZMd2qIf1Z38pjEv1nB6QxJEcqyljRvQ/WAWJGnpbHk6i5MAkHNmxiefSuIaxQs0jRhtVD0AoNBaxSToLpVVDwD+B39AvmjgzqKtIMl0tRGPRuRyr5R0hharstOke+h18ctncv03f3ifcXiXcfm0G8WKDoCGEbwU74Z/IYFcvFqI4Up9+BpFuetFJA+xdu0BOdYhUz8UK36CiWfQ19SynrJQxZ/8cdAwVZ9QvWCx9XBDmPWG0C4Ud6xZSHHV5h1RxegYuICRdD4puXMVf+EcKEbQ8ysM/96Pp3PSJZwMzenc2Hk4Db5Sz1mQKFQaZZH4TdlswrIBNw7NpRgVA1BiNvQaJSLE1uU4DH2O/osrXP30H4PflXPZybVxoYy49DljQpyoABQZFBixlR+6F0MRWi0QzwGxcWif7fI8Xv3MH8O4dGi29b3dyOb/NP8NodnEPLb8XD4/HmdxMnCe6EQnOoruh2RxU4pmR5uzFxAVZKY1GFmx0magopQNihmkrNiK5FkkFimDYVxSmi15LIZJAAmUZXaGdK/sqoqx7PK8v8Nmt6r207o6QxSX3VRySbtwJs3WFGPZ7WeusXPj1kMd+GYQkto3x7Ib5nwMSiG5m2fE3EriUIzMdqhCsgGUMHObJSpECSTbasq5gg2xOAHN68BEGadDIYI20if2RQpBBPx2RGx9TnbsdoNIDMl+XeEVnIPflWNZQuwHNFcBXqNOneTNcH0AD+YdClwkIQDcFOMiMSMOyRbSR5kEqoF+bj3AOwe3GfIz7J6PcKOH20VojSr2BDfEktvDzs8u7EkWdEQBLKV3k1kYkozf2McCHN0AVb7v6qV1CWCUgS03vMcUgGPJMiNN9zZ5uGh8Sa+XKKeNu0Ni276qIMxVaDO3Xl5GPRYBQgSiWUgT4x/b+bjNGOw8pAXFjatsdDn5TRLraQD8GAXabPNLDEadeEX5midqmgLMsio0gx1hR3nhsq2gpvtKQ6DEQLiZnytOmAtuCpaGWI8DiJP5ekW638yiemkNN2x8ATfpYq9ClaPo7szlc9IGL5IOrzvbalFyUwDAJtXP8K6g8wCpSdm2+TxaAzhbySeQz+VVt79Yuka4OhHcui+LKjDiSvrjUz6D8GABt97JfcZQIL7bHrzw4OWiBg0B4LbJdhAAcOstuBXQjrWPTK+R8YqtJF6Yfqf5V31aKSwb+O0IhwaxKyhFN8RiIwGqHYy7ppQrSOPm8+WeHUPzMOTjCw/aBbgQEM5T3dt0vRsjYuPyQmDzPc+BJ8ROsnSFhUP3rM/3iwuP0Dq4Qe4dWo+wakBDBLcOflPmyt4TAMJK5q0bAnbvt+DnLp1HiB2hWTuMK3WvI9s0QqfnpZ+i/On/q8+4MBmVQojADxeIrUPrKc9N/6jB9rHD4nmRLMYlodkYW1FrpFpu0KwjxjOVzKS/x9L9ZhaW9gKLdCF6zPq4NapQPydkk7yCSBa5Ff0AzGVLYmbZKZQpMMtiVIOcEXPV0KoSCfVjyfhc7a68V/fD9aMwNzX2Ta3u9pjuKhNGgNS3yg1o1Rn9veq3aTcw4KkY9dLLaxeRRQAyoVZDgu52XCNiIYvamWPUp/mbGDixS22GCEqGO2cRiqEkdY6IaIaI6F3ejWUxyjPzfcwL0Y2xGBI1BCAy/GaUHV8T4SbyyQipx/IchAg3cH6f3MAgFgOnGykfYw8gyneZEzF86n31XLCML5pExOwpG0LJ9Isio9kxYOASzSb1haQtn+Y1NoRmLQbOZm3m76uAsyCa1HGcZkTSuArvRa91LieuQXQSPao1VGdcgtnrwcktl2JDeCUxI7TeSmoz5jxL7F12R2bJYhgkjmMwXgYk0ZRFxNUdlr0vOv4QcrYvtIR41gqWQOHErQdGKvdXr0XjE/7fMBu950SyUIlCs1vLPJq5ICrnaxtWVE9912Mx7YpMJC/jesw7rAsR1MdqjETKHOS+rGlPVbIgA0YzkgVPJAvsRN1UCScaRhCWJa8me/FYxAUhpB212TKaqwAmwvDAo9OXiuT88dyjWRe7zXWShUqDOm7vHfoLB79VWwZhOHfoIhA6lcxE5XAj551+OCP4nvNY1IPhNwRiEgkkIb9j60C7pLI0JdaHPWH3kLD8EplbxAZoN/LqicSi0gkwnrk9yeIm6snJG3KiE53oKLoXkoWWGKxK/yXAi1YztxBvWzKOh0GS63IPephSpo0B8dPPRLQ2CU6tSpET02q9kZSHUfMJ8LKTXU/h3BCxL764lGt0Jw4BtN7kIDgdg396maWhKkzYYhOMt8Q9S0bEc4Fx0yC7YcZCWLvJdgCefF4HsAEAuaznat9ATs4jDZCbDxLTAKb2k2fVz7PZvVOfEQIaG7XKDD5bgFFHW9IYq9DoHCX5pFTyOrTBZUVt6NH9kcnBORfOrr+p5wPJ2j+MgHdYREZ8uMp9c7sRzYtdFuvdk6doFGiVxrc39qQCNRoFvN3i/X/aFEnIOSBhNLJB16V+WCRo47Kah8AIDyWiVlUPvynqH4jgP34qYzZetosx4vw7jXil7JzNJexlBl1tq+zrcp/jy0LeC2YxS6mW5BzZpLTQ0HTvS4r5tMBIw5JVV7Yek86AUTQS0yIFnUN8sIR7vikvY7OfsJeAEk4OlLwRy648rJmiO5XxVj0czIiagzEZ5lx6mFYE5MbBLbr9Iro29yRQ5a6YVlez1wAoOUCXdYWqnBiZuagK6Tv1Y0m5n+wi3DXZEOk2Yneh3cRdq4Cms2WdTMaSTYwbI5gj+CwVnTaLUFRF22Hx0KjaQJHh1+ISZUcYL2R8rg/Jm0LwVyl2aLmoqq9VEZnJ85Azbufs4QHD42V+TnAkoLXdaBL2JqapUa4QYFtOnsuM4UEycO/EdRpbh+ZS+hU7D/c8lQLQ7OOQUgDDRZPtIEBSB0cWb8rIRc3whIZIagjbhL03QO3eG2Yxl/JeJYOXnU8axh1CwS0cE9RTxYyElKPBYAEoZkaRX5CbDah8TkOrddfKWJGYGZZmn+bWo9kMdVuAGPpu0o/bkJF4ql1KdzBPoFQKL5fg02uGgOaZQdLaHU7HdtsaxxPcitgqppKS7Ore1uoAgMBwY8xoTUr6Okd/IyPfHNHIBeeQ6nYQI2NlmCgfyyYTE7BGY4TfCWPxuyDG3754OPaydysxww0sqNUwmZtxMqgb4CkO0b1hFnv0kqAsuzuKP5n3rS8papNs9KZtU1UezaOQi/uk35M4Os2crDkmKjUkfcopySq+G0ochpUidPFZv7tzOZkM+2RgHRIzsfVOAWFqY6hrbiiRq9UGTcjDMeeQOJirQr0S275uw4qxalQeIH0aQ5FkkhpCaCsJRDxCABm8CkFEdD6QQm6WxlHUL6BSteB9YVQ5jsRIczEK+EulTu3bGOFilMWtTHC7kzHq852oIWTnydQN8Vd9UUNIigy5fqwSz+QSg9kYLUWGuJXU/o0rDFAxIRlk5knU44ka4q968ZLY8oUxSYEKyjJYD7rc7KkhNwkePBk4T3SiEx1F91eyoITOmfvJZH8il3ZTzYkJZHfpUTYLW4XMIjgjS+o0oHBtfwObxWJiE1GyRqc8ICqGOmsAgzGOWojzwr8dm4VFcDonu6kvkgcigMYEy41JBHcMNvtSBqbd1GaR3NrWZgFXZwLTucuu8chwKm2kYDAgCXZOgFnZLnRbm8WDRYF7exJ7SVNcveC0sxuodbQBa5ERlskFbWwpPJR3wZ/N2yzG80bUoGwX4dL/aGwWRGiAd99mMc3uDY6Il1cAgHh5CQBwFxdiU/AebLwPauAk76UAUCL3+BHAkq9SU+HZxDW5vKCmVGtbUVsUtfjisoiaJpM4vfeoZjAhSsTq1aYWiYeZsnKpqlT+XUONx5BxG/zshZy6XOR6qzb6Fv0A6lrww4u6bWUyU0aUslVnXXnbiyHYMEAAoAfnuS9k+k0wC6MvbdIY9kRa0urucwlcurZWpQBEvScgTCehP7n1xRaic28jVE1uVLYve4r9IJuZLkJiK3oxJrafleze3LXw3klpQADhgwcpNoQRzlu4rd5bxumGkr+CWy/I0PAg2W6SesIk9pIxFhPVjLlAsSGuDyAG3CB9cJfbWZvb+LX0vOPKIH8j3BBzP4HEiKNhHooCBePqRy/QvggVfDz+/jvGLG5MuoDsd1tSEEg6Nde7jiau4SBh5jBGy7YtGH4gLexJwlWf0KKN3y/+O8ltyYsVyI21cdK5Ars2gCiiYb/ob0rJr6UKqU2VyLR8Yde+NAQeAGiX7h+5gK9yweXa5agUUZT0AAAgAElEQVSJUeLjFaDJVYxBMSMrAcSuEZ0cE+ZkEJlT4kVX0KKpL/GsLeHw2u2c8TsZQxNMnMYB8cy4TpHsQ+b+YeHrIsFADv92fRAw27YYzPlsIYFX6RnGRSMLKSRLpC405wXUtOjgdhr4lqSjXUT/wRLN1kpd4okIK5lrN8QSQKYAPX3NBq4C91oN/Z/QeN4gekKzDdl4OTzsMK5cAZWl9qvgMN38GsogNAvxtpD86+j+Mou5FGl5IRsDln6fnC/qiS9qihxE2bImGAjN0GwW8x5Owom6kBGfQJEKdhOvjRoxbYCRQVhOUZWWiWh/KEW05mS2pl32VCJktX0TewJAXHNdU6sLdq4igxd1f5ionBuNMc4V22hM6EUKpp4nIEym8dXLn8k7sBZw8ubZJeY2jT9xiYnE1sliC4URTmNDyvw6hEk7yoy4cQirBt7XC4tbX5LwNoThrIHvI0Ln0JpxhNaBYllc43lSG4aAsHLwfemv5I4IeVHGxmeEpiI49ZObxJjUO9+4WWYhqjYQfYEUsEtI0F15xxSlqZRjQyDntlfAuLIG7L1bHaSTgfNEJzrRUXR/JYs5rIS1B6i4q9+HOgU9jyG5DE1bpn5eTrme08AjBYWJhKAuUf0OJCYcJB9kVgHGIDrvONGnt7s9NYGGsQDKhrHUsBhDDo7KBsjNNqXnj3V+zBAlO9emr3cgkpwcFZAt5a5EjKBkLMsSzTSwLM2vu9pWNgsAmKa0c1sJnb+JzULnTscOAM7YeEglogkmw++QXK8R/vk2TXGxWbgZm0VFyWZBY4Rbu1IxHQJggrFZ+Ms253zwnS/4Bma4ZDDMgWTbUdSaIWD5yU4C/4AiTY4R/kqNw3Yua9tSxmRon652s+9+u2iQAx01oG87otn4ymbRPp+oITlyFXB9i2Yb0F6ZZzbFY7yE7i+zmKoVVPIDVGHnNhTdiGPUeHCkZLhUw1qJUM1FhrTNs5UspBx6vinftdG2KV4O/W3bIz46l8XuXEnTd00IuYaPA7KA45lkNqdk2MVqKfdtGmFEWoQoBFDXIa666qWQgC8TqAbBasRVC7ctPn+37cFmkWpovHueQtTPl4WJKbYqqSEwaojbjHtqCA0BtKb96FcAfLYsWJY07vBgkW0MsfPZgh87B9fbyNIItx0Rk8fgZWrIlFQNcWNEWDXoTLLbeNaBWw+f5mZ8sMC48nBDxO69BotnaZNIAWBu4KwejWceYeXQfTmif9yge5ZSBRo1ZFyVuTmkhrihVkOWNuLWUP+oE0PtUHKesAO273ksn5YxvUwNufy6x/kTh8GoIYdyZczR/WIWM4s6/5TqgeZU9tdJFn0vOrnd5XZlV+GJy/BYyYKuNsIU1EYxjsIoIgMxZC8LJdCSpdcpWbjLbW2gBPYS49AYQOtUjs8k+LFZnvW+GhPj0nXV3N+RZNEYCcJKCKzI0dRfLd/g+6Y693VLFu2XDZpLsRm0l76GqSuz9LrIA/jSwb/Ywu0Wdy5ZLFphpupaBRIk/AaSRbNp4HcBnXlm7ishWbwustiKhGa8dVYtYD6js2bU8vuG1rsizbSU/5/J4sUpA9fe6+BdeSF1sdljb4qoXtzZ4+Ip4zI0zgfTWrZ33Cf2DuQNbN3VuB9OmA3/pjOimyC5m1L0JCF+t3xF7xWzoEWqZRkCeJJun0yRofjZ51UkKWv8hYUyuyQ6K0QWyAWAMIachdtKKNYVx+NYAFbmXmTco3KfBL/e7uReCf/Anz3FLLRamYlCsQHkmqwwtpQ0LiKq8B8cAiipIlX2MBuLYu0W01oRU5uF5pN4eC6/PX1+bQwMeQeeqePBgEhqc1D9JOnJPdOuaiqzswYOMoMG4xHQz0UH+iJlTrdQ7mkk7JSMbYa8B28NxNx7md+MtWkEFs5SmyPX51A7QYhZ6nKJEceHK7Qff2nAZUmymJYvnMS17EUe6+duvnyhenHCxSJLJe13vyz5SvQ2mrN0Zk78Bw8k+M+WL7xB3ZOTN+REJzrRUXQ/JAtKdUOurvIh//AhtKIWAHDKETl+9EdofugbJRq1TbU8urbkw9CdoB+qUPT4yafllt/8YfmSpA5edUBErrPgn17mMHOX7BO8aEUCMXVDaLsTY6bqhp89lX7+uz8i+uUElBUWKbpwOyImjIPbDgjJ0Ng+EQRnfHQG2gyIKQdlTNe5F1vEB0uBsWspPY3mbFxuEwDceshBTApocuuUg1IDjdRY+ET6vf7TP5aNi3WFc2QjXFi4nFNS54uSkc5vRqkpMqHxQQE06VjYEfy6hHbrMYqcpRCtCt58fonLb/2IHPNyL8E9mHssHfxOd3DkMYRWslKBgO6Z1lqRHJbsCYunMo+hcwl+LeOagpsEAGVAWQCWn6zx8c/9INorzu2yI7jA2ZDoeyC26TfNukZIyE2xG4wLOffs8wCaicodzxzGBeHs0xFNgqd/9y/8IMYzKvfWdq2woILsgtBech6bnjt85/iCRfeDWdyUKlTmjAvQUVFLrHpiz9krBaDoTgMY4lps1uvIGUDVGEQMzO0l63tvxFhVIRDhd+mBjhEOSfxN4dNViQPNszimNP4miS4FBnbDXpEhYl+JipJ/U9Qk2qR20zVZ5E+rTWuhNptxz52WjaPaeI/sRszQY+YcBl6F3qf7uD6WPJW9ZNt2gUsiHNXDVUWyyX1HEf8LgyoivI2QbUMqoqPMTee2N4tEeQkzmk2UlHepX806lBT9VLsVNcW+MtKc43MIaC8Z7VoZqzAwN3CVYxPbei4tw3OhnOt6zvcvGH2gvQzwO5Lnk/rQvZBxNRuzYaQiQyUmJE3vVlIMupErBCfdwBT0bjKLu6JpqLv1+1uaOzalORSjNssvOWe6MA+2MeNimx4z/++hKqe6slKcHKt064k7m825c6ovTRjA5NpKt572a+7/qc2DUdlNcqLaaTd0TNOEk7E+RpHBKKHdZA2+yb6ZpS3Y68pxqI0pct7hictuny09RJUEUN4JJLfbZAyBZdihwMNdKPfO+TRUskiSS1R0fwowc4GrurhfiYS9Ih28ZCT2RdQoU2tZP/Y+FpLtXUnHRtJmlaTmppbvQ8FdQJVzgSlFCdpxAbKrmpwEuY9Ed5sAx0LUqRyLGrlKEI9FKMeIuCSU8QUHMUda8+PGY5h4mhQCjbxQ0kL3MIlwAb/jVF+DquOAPIfsxrxl6WWpG2L+92mlZolSNiHLHLKUQ5P3Q4WyhnIGrNhSSeZj70sioUjtkfq4zfgtx6yocjs6GThPdKITHUX3V7J4Gc2pAHs5Ilz9B9SSgbq1VNfrmiqnZP5t2q5zdeCXTbev903n8UQ2j10DOAIT4DexLvDrHdjlVLeIXQO/7iVvBJeyAYQgQV2Ny/YGO4YKUamZmPqx2BY0mEvxBF0NdOKGADWwpVND61IfpcOhS4FTrujuHGW3zuUTUEv9e9m38hjSeNu6XzmQLMGu2TtEzQWRUuy7gSuEYvRkqoGVuY2NqGGhIzTr0h/J1UmlqHXnMJ753K5dHNNAt/FM5rn50kthn4QeDi0hdAQ3EoJmXHBieCWHbMhUg+e0yFB7ZaQ6W8C4ddKn1pVyJw1hXJEYddX4vASajbnOBPEO5w5YM4YzysduUgrglZgFEf0BgBcQxMzIzN8iovcB/F0APwbgDwD8PDM/fZX77NGc8THpirlvqaxhLm84IZsTAEgPpnF1MhclNYwyixpgo0fT/xmZmfoTFl7iGib9Vm+I60Ou5uV3QWpyWBuAPkRPMrvaryBGw7hoilioi7P1OYkKIMY3bgU3kD0v1t/PJglvYhbjylcVwXWuohH3Y0egQECCNpcOR7iBgGkVdpRFL98TY2od/Dbk7wBK0hZdwAsJD3eNR1hqhCpl46Z+B8Qb4sKUUVH2hljGAgLCUha26vCh89JGk4yA9hVoBQzlt5Tvpf0eHhB8r32TvzEQ+ouk3kTkOiaxK+0BwvDcaH5vzX2NQWG4cAgdwe88fJqb4UL+XF/SB4xnBKZiu8nRrcmWwQ4Yzo3N53hnyGtRQ/4cM/8UM38r/f/LAH6bmX8CwG+n/18/TcK/X0t7c//bUPMb3m/KtacW6pceP3R/95rHPUNME6ngZbcj85eNs1R/1/NeJ1V6vs7Pft9tP3nv79We57T9ym6R+jP9Y5fqk0774OTPvguc4qGYyvmH7qHnTa+t+nfdGK6hu1BDvg3gZ9P3XwPwfwD4L17rHaZW9FSi0EZcckISskUU2rJ3O1P13DnBHxCVxC+A/G8NnIDEdJAJlhpGuPW2BEkl1KffjiWrUpIK/Cbm3ZUil+8M2WGN2uO2gxgBhyAWcNuvGCU6cuo6HWN1Hm0H+X8McGqZ1wzo6jrVPiaMSrMu2aC06ncO9lLDZZIc/BArKz5F6Wc2cBoXqN+G7M1wqaaG34VrXad+F8R1uhsKxsGoNG4o331fVBNb6culEn72XDeyjJVdqQa2G0WEP+A6ZU/ZdaqivtsOWH7B6C7TPJJUIhM3ZelDlphUlWuTi9OJV4Mvk/t2GwFGDlwD5Pvimbh528viOl08byUz164YT9sr5HYrCa0B2nVynV6WeXiTrlMG8A+IiAH8T8z8KwA+ZObvpt8/BvDhK95jn6wrznhD9ooUhVg+gcpmkdUIBWU1EoSVobATcT1T4+XaHAgURA3J6f6TOLpoBEeR4wrkRVLVw/WhqAa70eRrVPVKPDHcSA7RrDZtJG4BqzKWg6CsVMSGiMAJ9FXsCRNQVqWGUD6XzY6da140gvUIzleYB2KC280Lq6KWyRxpghr25vW7BpTlrooaUnZJUSGqosBbWSgxB2yJjUWxBzo2dkBYOYwLKTYsfbw5KKtpPfoLApmK5WIHKeJ+syGEBUCRstgfvfxPydajLs5m6zJzySYpRxguBJTld4wmGZX6C8JwQRmzASSGHSmBvortJizlOVIsapd6U46lV2UWP8PMHxHR9wP4h0T0/9kfmZkTI9kjIvolAL8EAEucvWI3TnSiE901vRKzYOaP0ucTIvoNAH8GwCdE9HVm/i4RfR3AkwPX/gqAXwGAh+6DmzmAmUt+THPM1rDI6scBBGclwnstrsuAGsGIUiRmLBIJkaAhaSjHDiE4t0Mp2EsKjCpFZIhFogCSB2GMSUzVrSfm5CoASsBP40WF2QxVSUNAPB3OGnn7IRVPinDJC5ARnOYa6ba0316OFRjJ5jtQicD1ktfSb0I2VmpWaQoxSzesNU8ii1ShpfmGpIash5KDcxpJqbt6Ku9HY0CzKQhO0d85FR2WU9tUfDgsXH6zKQLtVRBJYlE8Ks0Q0VyGIslAUJKxK9m9bU4NbiR9nR7L4x4CuhdGDXGEcQm06wg3qgeK0WxF3VAJIiwIblBPDdDoNPSlHQv06p6NaBtCczlktXDxTAyZVg2hiFy1nQKKFLEGmk2EHzgbU4GCNzmGbs0siOgcgGPmF+n7zwH4bwD8JoBfBPA30uffu90NHIgmCXeVGl8WitYdbXzJVgVI7osQ86eeq8TLJJb3o0QPrlogMOJZSgbzTA2Krs5K3TbgRVeS2MSIeLbMeSGUiYVVW4rEZIivyy+Z34aSln6MGB61oJHhn4sLJS7brKpYz4kbI6LmNtgV5ghASgcab0hDlF2nMY3XbWvbgLpO/XP5HB40JcdB0rEFZCTivIynPIrxXO0YCVZt9XxNTONI1BtNHLP04tFp6KA3RJlIXHi4XYDbthgu0tyml50ii/ci3VMWoLhI1evgerkPsYjt559Iu6FzGM89to8cmrW0O648xpXLkGhlToD1hqQxJDXQX7W4+gaBv5uS3zTAeE6IXxL6B6qqCpqTgvQRAMYLwO2QF7UuWgqc3L2EUVXahhC6RqqyM7K3avu+w/rrjOXnVBITtUCzpow4jSk0SiDoHu0VV96QeAMO8CqSxYcAfiMZFRsAf5uZ/z4R/Q6AXyeivwrg3wD4+Vu1/pKKZDaL9kHY8rXt8+z3DEFWqLSFUN/0HpqVS2/jGAX3b+4ZyyKrsmNrCDYXOC/FOJ8Q93WS9jsJW9mMMphFmUr22TqbACZ9LZWxiIFS6hCCarwpabvmcy55iwsAJbd1/p1ZDJymD2DADyVtfoUFuQG5oe4TjaWv+RjvX6OfaqMARDIQKLyBi5t6IxVxMtry5P7MYNZ5p3zuq9KtmQUz/ysA//7M8c8B/PmbtDVbRT2lk3MXUhk9mIhRjKFICSkPBe168CM5l/oB8clnsnP2JVclG7Hdv9jozSX6MWVL0uLKfL6SlPdcSgqCSOp6aO4FiKhNl1dZesnVyJ+8KMbXdK6XCcpt5X55D/98B4oR4SJV0w5R7j+EDBgDRHpw2xHuky+y6qDkXJ2MhcdRCuzEmKudz10DIEf1rv7ti9qhblU7A/jSrE1ZekgxC3FZpJvsyesj2me74ulJ6lfzyZd78R6Z7PEoz/H8O4vyHHQNNK4qsBMbBylOXDw3bjukRECE4WEqDzkyFk8HLL5ElmKWHz9LWdpigforTfNPaL2Vqw0+/MdN9lDAkaQF3BUvmhYnst4Jbl1K1ycq8PBQM6an4afUfIAYU5d/+Fza64e8oX1tfA/DWQM38Uq5lBnN3g+MXDHelov411fHu0NOcO8TnehER9G7A/e2O0/bFINi46W+RlMPhZaLUgdkMJiKRLzSrFxJh30geRR199RaG9z6UvS2cXDLhdxL64ZstsBqKZ9A3o3iozMJKzfsOHaNqCBEgqMwGZ/UpqC7Rv94geZyQOikEA95tTlI4lp6/GDPwCnIUgP3Xu/EtpIg6QBmrwGQ53P8YLUXwBc7XxXZDUsHv42VLQWQXZwNfNoWaua2SAA5+Cw8LHOr/Vb8hx5PUpV7vkb/viQ1jq0AjtwQKxi2BlVZcj3DjTJ3YrtIY2tJDKEQwyYAuK89wHjW5nE161ILJibXuubqGJNta/Gxw/MfWWLxIuR7hJbQbiLGRbHxNCnPRugK7kHVBzcC6++Tc88+jUZqSp9EoB94IDiL50Puw9XXF9g+Jiyec1YzxiWh3ZTnZ+07vm/RriOGszJnX82KZDZcOJicCUrMFfQbw3iwwjmAKhUZGg+3TmnxRvXPk7wwm6G6lybRJa0NOgxyD030qwCpjSk6lMQ+vzYp0xTwhcSEeknKG5PBsbkcwK0rJfSGIpIisiTYnYLThrFOMzeM8heiAY3tXwMgq4D+qi6WlPsG1PD0tlT5BuRlFGAWoX8oC6nZhOT35yr5rYsAHOAud3kOqn4DmbHTNiUt3vVorlJfTXUvN5aFImH74qlQY6wbGe2LQfrrKcd0uD6iGWUcai/yL3biZbI5TrTPqVSBHnOaeGizw/JpKCoDAWHp0WwC/LbYS8SWwdm7FDqXmR0xZ/CAGi9DR3CJwcQOaJ/vRPVbDxnT0z1fAezhhzIH3WUsNVQDF0yKI3TPxfvUXpa5/mom7N0rTVhyHuaMWroQYiyJdecS7AJ1nVGtKsamlBxzLpir7RKR5G1s28JAYsylBvM5ECt+ftlyYhKXa3rSUPR9GsTrQc7lXSN0UmtTFkRx39JO9G9bDlCpqpQG5Izf5GJdCW16DZAD68KyKS47nTb12qiTpBVX715wGMlL2Wr2q5iYGwPcuSyx5OLAZyUrdgV7jijgMX3pd0OOq7HZuZR5AkBoveRroLIIKDKGi+LhsQbZsHQVgjGedaW9aUJkEulHGWdOZbBtU4UvlYxEwhlXPge8Va5ok8Y/LHzOlqXBXW6kZHdAlkrdyBgvOsSG0DGAQX4Yzl32ruizCQvb72IvExBYI+5UGyv5lShfOKWpZDE9bg13umtP0+hbsosm4SfAXGbEIjntoghBHBr6ewjisp1IL7QLFVoSAIiDBIVRwg6YfmkKPnVl2noXlArtal8pRNCu35MSKLr62DDmY/lec9cA2UDrt5P6rCYmRl8sl3ZwZxgeUgKW2LoKBUshLXxbBySK8c+tj5AsUhV1jGNGgGo+DNkMyrNR16zGXwBi9HRDzNcoDJwCZ9eo1jp1617GMyNZsCdgZyD8yuj7Ae1lRKMu4GRcdX0E96VvlOqnKqOLrUuJaOQ+XYJg+51gUNgjSzzsCM1lL+duimTRXkZQlHwdFTJXJQr1vCVqr0bQEKv6KjRROV9G94ZZ7OEpmIUR5Epfk11sGnXqXIl7sBLFIcnCgJ8AiKRhoNkYxmJusDiNG0gWmCR/OShZjDHZBZC9HuRbUT2ck3Z0Ue7k2J1KFtMXyNSeAJAh2JEK3DtnreKCkUgH5GtXxH21M7w2ySJR9AnIZEPUU9EiZWbFlSr6PHsq/bqlZDFclKRJILFbuIaulSyyzWKgbFvw22RXCVQB4mYliwuH4cyhaYubdQ6mLnMjfXsVyeLkDTnRiU50FN0byeJasmrIOBYJIETxw48jSDN5E2V8BcdYJAvTBml9BiLZfSc4i0y2/gMz0A9iDNSdMEQxoCrOIomI7sW2nKPWf6TzdDdWq3XjRd2IsSSj2Y6y6+2SgVUNhESgfgS9uNrDTFBKzKPEoxg82dTXmL0GxcDZPt3Uu7yqIRZnkSQwm1RHpQH2lOHe6tkhBvxlX3AWSTz3XzwvALADOAsyOIs2oVutwTk2JdmOGvbYuxpnsRZjMRwVDMgYJcN653MUrXt6eSucxdmTvsZZtAlnYSQySjiUyjs0JIkyMPwutTdykU6SfYUbQvfkcg9ncfZkkau+W9CVC7EECmYVmOEv+z2cBc3kHjlE95dZKKBJyX7v2qIaNB4YpKZpJmZQ15WSh6rKmIdfuU6JwCriqmqwHUTcBkr90oUHdW2lhnDfy70SGEv1yfhgaWJDZhZfLKX/KDJiK+5JDdmOyybBrVPRGDVw9iPCWQd6cH69GrLt8/XXqiHJmzO8t6oT1RLlWJaSzSp9jE0Rx3OYPO8ZPplZ7h/Uuu+ljfHh0WoIPQeGR4t8TCl6Kslqk56fIeppbumiRAkruYEQOif1SlN5APfexY3VEA9xYbZXai+Rhe53jUR6oiA0LUhqGqKuGbQ0xqRmFkD//Reihjzrs2ds/eEC/UUqc6BaeUriq89M1bHYAMsvZwyc//Idc51yjODdDtRqHrIITgWCw7PnAAD/4IF4PbpOqn+pfaJrZbcHwF+UhFzug/elbmnbAlp/9GxVpAvd9ZKEwcuFMJnkOsWTz+EW0h9O57hFB354Ae7a8jJuesRVB3e5lRdCCy6neqiknhqgCiF3u5DDzN1myC+R++QLaffxA9B6K7aJXQ9OfaEXV6AH5xi/dlFV+dZ7ql4PAH67yOhBxXH4qwN1QxIziguf4zUk+zWDksFQd2Abbm6JIsM/2xbbkaH46EykJCAXl959eFZiQ2ySHDbMIi3aZtVm4yQ7ypnFLYx6XLpstMwLnSUFXrMWz9Lyk3W54PESLjDa5zInmx9YCRYjxcRYzwl7WeDtuixmENCtGgwrKukKVXogZDyD33HGV1QLlQjNjqsw++YqZIOrpRc/vEBoCYtHTa6N0l8QxrM6S7iEwtt7pONLYPeozQxK51q9KcfQvWAWNyYbSWrrg1gR+2XxHM4krxkVxzBmK7hcFksAGquKEfM1xOXlEEt3+swqxlDaTGTrelQ7/DDmoLCsJiR8BNnP9DsNY12XBJAd3NQlAUTURuNS7Yx0bgKKESA7uLkeAPx6LEV+dTp9UUXyFO7qXB1yvvRtWlgZAGg3lIRDiZpNU1n8S+PIUghRMloy7+WS2IuZYM5Rm+WYRHK6XgBjds78ZsxqHSCeCAqy+GJr3KysUaiccRDUumykXDyPVdCZ1u7ItUAGiTq1fddnZM8D1Bu1N31orxi+4ZwcB5D7utFlqQZIEokN5lMtcUsYV1I75LZ1Q04GzhOd6ERH0bspWbwOmpM4jGTxqnRtESALADvUn5fRS86fTTc0PX8q6SZDIoW4/9v0+mwwntwsvqRfceZ7df6BeTeBd9mWoqaTSVGoOTSiFLLWdup7iA3Bjmfy/NUOk0wCUqzI9k3bKWqPqEipoI8Cw5hzSUIdOlFSBRWHwqXNuahiKRBE1f0pyH2dta04JGDaxEYzigHj0BiOoXeHWVxXdGiO1JioqoGmYXsVhjC9lpKvHqjS4L8RsjD0mTGxpsZPcQ2ZXFKSuYjxgk59PYzyRmTHkIyZ0UsuEyCpGnh9TPylZFShoBnMgcQUsbewbNGiOycqn7cNpeemqD9Vm0fSu8MsLNlaILY2iNWfr3u59Fx1HabaHzmwipyJNdFziys0Iy3HAPa+eBUS5boehnnYuh5VndDo9ut3aACYd/K7ek5c+n5NXRIg1SZpHKgPhSnYxLjJbbzf73qqYusqm0VYpb4m11+e0j5IjtJZEBwBagRUvb2hvNVqFi40wtypV8+JSwl+kRMHZbeoqwPJqlT/2qdkd3BIhs4vTZh9SkbkNilxjScMZ07KBiQDJpA8HB2lPBVycDxzYAKatUC13aB9k/IE7VXICXJsP7SPMS1cPxSvDQC0L9zs/Gl9k8zAUlvDBcEP5T7DGQHrcn0wTsLQEXwLjKs0LsKNGMY7ySxsLZCqPog9SWuLGC6sD4GZs4tRYdDKJLKL0VHBIKhk4qR0IDduf0ee+OFzXQ/LLExdD40HAQQ+rcd9ZhZe7t824rlRJpaOXVeXBEiLNzGFqIxJfeyKndD/E2J2PGtK3RCdr9ZVad7C0oGirzJ/6TxRP85KV3HVwimaMI3V1ijRfmRko0miC6TFvkqLOmWMcg1VDGJcub1kPK7llK+EMC5dBXUezxspDZiYRVi6ajEHM7bYALygbKhU7wYA7B45ieVI58WGwORz3RBxZ6bxdKY9Jwl45drkOn3uZyHYw8ohdMCCKWfV2j0k7B5TTqQDSJJgdsA0cjV6MXBSkExe8iNymr9j6J1kFkfTXYquh9p+E+JyIlt1y/5f15bQHcQcPNTHW4q3r4Oqvht8wGtt+9hzc9YePYi9OcuLcdWZQs8AACAASURBVPJZ0eQ5VMduOj6VAsjoQwfuPVvzhczfTP+OoZM35EQnOtFR9E5KFrZwUFVMyOIsZiJTyYs+SAk2CyBHn7r1VjwUimcIAax4AY0oVUyGiT4UbEFItgujo65ncBamCBBth2zFpn5Ao/iOhDal9U6iRlMf8yY3jqBtD79d7EVF2iJGQLKgjzEFK2nfQwlKY5baJkBWS5qr63EWrm8yzsJvJziL7bCHEpX58BlnocmNm2VToNZjgShHYyj2V2NCdALtC82GPo+z8Fs3i7PQ4kDNJiUdStRcii1Gc1M06w6+FzsKnbtcnEgiV0UNU7XJ70o5xPNPwizOQksaarZt2/dDOIvmcpj1UHSXDaIHmk1pa/k0wu8mOIvLAziLhrALhO4F53qvALL6dAy9O8zCZvs+1sCZYiVyHVISr4UNu76xgTNFp2YDZ4iIqxa09qgzgSeD3sRmMc3EJee6fPxYA2f2cmjbjkqhpPwiRoRVI2hRpSbdK4qJP2jxIQUrUZkTlTv3DJxLmYN9A2caS5wRWIlKjI0R83MEakM5n2YuvAyIOzcCFFyOwrRxH1WmrIYwTmJ7bHzF1MAJSvkydc7VwDkwto8cVhq6Tsk4uEP2foxnDsOKsIyMcUm5eJE1cGb7h60upmM4YOBkX78zStHrM+YKySpAK2u3IbSGGVgDZ/+Y0GyKgfOm9O4wC47FSswxSxb5O8eDCM6cY4JMopxYJAMAshtGg5TkWKDhXF5cRDmeF1eMcNtR4i/MfWmMJUFPIuqNpDGG4sINsSTknSI4XSyf6XcK+mdequT1qMKzOcHKre8+RiCWuIcM207xGNLvend2My+v6wMQuP4tsIxrBq7Mgfcqw9FYMmsTk8RvpcBAtcNoNi4aYzaQ5mvM9YAwlCquJZ3LjkBDRLNGqRwHgIKH23E+5kYWOHcEuivTt8DwO/ldF32zjslNksoCDgozp1xGMUPPbR+TodP3SKkBucJZ0Difvd0PKY5kMMFhgdFeopammOTcfE467ID2BeB7k/Eb+IriLCzZkoS2TOFUsgj1YtWFyMwSU4KyiDhlyiq7XpFIWIvFJI8Lt02WCmhIhWsnxsF41oE2VD34KjYkIpcUdGvk2I1mKlm0jUSjZi+NVG3XuiJpQFC8RzSYiqx6GG8LpazT3CRviEohaa7GB10dGwKIO9Z6QxY+38OOmywTnRCv2iypaGzIcGE8LyQ7e2ikarq+xIHElevS+XpPjQ2xhsfh3FXqgJwsXg6NDWlMjtLxvE0xIHLNuHIpNiQNXyuQe2HA45mTmhwQLwN7GfP2sUOnXhmFhgc+IjZEcnNSQDY2+m0zGxuye+ARW2DxHLl/28cO41ntEZIap/U9AIkNiR3QP6RcaAlUvCXH0MnAeaITnegoul+SBRtpYfpTiLKzb3firL4ukGwcwWMAoS94ib4v4cdq4LSBZKZU4aFAMtr2YrdQUXoY4bYlV0MxmPYvLS9I/VCkjmHMlcKODSTzV/2eukCeCo4CxpgZY06YS8zgUCQqlfc1IrR50e/nOJgiO5mzGlL9FljGNRdItjGGz9S8YAo0tNsYUYmKVEPJULsb0V5qGoEk1ZkEuADghnk1pNlSTidnJZ/mSqJ9dezti07KF46xNpYyqvsAQIwC1W5fDFh+6esK70ld0OhQ26eM+KR5NcRv5nEqy6cB3CT1J6vHDYYdoTMGztDWakiOd7xMUbk7Rmys0X3vVgfpfjGL64huKAg5qtPqEZWcEreknBzHZBJnn156716p7RuTnY459Go2ZhaDLgdI7o4UKZvLIvq3LGSSqjrIhXcAtTngDc8rCfAsx35wpYbJQVFb2u4GqKZXIYOpsMCym1DogMZEJd+U3i1mcVNKoc17CXsPBYwd80JOw7I1ICwhIDPqkVLVMrtLWC8MUTFCHXtv2w317AAloMu2n39LqeF1N2bOjAJsDIQ52YwrBko7bXYs02Q+Su7AvOq5k+/sSBhZHhTnrFJzQXg5y5S5v42JiU1KBGMvUyY0Fzuj0swUhIX5oDR29fMUt6cwM+vC5RSDpFKEG3DQdcoeQCBYsBbPoKXYCwrTU53sh72xQaQ+WlSmdZ2SIjZt8zd47b7azOIQInG6iJWOjTpVxvASuuuo0xxNaa+fjstGWk6PH7jfm4w6pWiyUkOZGXKWp3K/cj6Au4s61cvVC5Izx7OoQ3YK8hd17aZx3FXU6Qg41M/tplGnFAkuAMEy7q+iN4Rsmr1jcBZe0tRJhGW6bgwQH6E596Y4i2RP4YWC7gVn4dTeoe3dcSBZTvmnbafckza/osOIsGrhd8HAfkX1yJ6NFBTmdVxvMJAstq4kSddUeyxeCLUXMJHklBz83QeStYTxzMH1hN1Dh8WzNGWRC1ZCTVNnDsO5Q/fMv5lAsk4kBjcUz9tNA8l2jwWwJXVOEt1Asjh5Q050ohMdRfdKsqCFJtENxROh1LVSVf1rHyA+/bLs2Folve+rKulgzsZNLS2I9x8BQUBDnHJ7ZnVis0no0KRT9n2pWaI2j3GURLnGOwEA7vlGygl6B354LseePJ2vWG6yaWcpIkb45wlDkKqZYwwC/fZO5sKX6zAMcm3W3Y1OPrGR0BCAWHAUtBvEmKlw6iRRhEcruD6g/eiLPRXLT9S51vvkfeL6t8jAMMzujO5yne+pfW2DUSOcy/ksuHElrV6MEKSlR/edp3lceazTPB1T0mfAjM570NWmjEu9WskztvCENnlo2stWUtzpuBwlWL+0t0zG4+Fhh/d+95lBwIotimIsxZZQVIusHqidQcepc7OZhhKn68MjEDPGsxYhSSwPf+8ZLhZNrkoPINd0yf+bPiy/fob2asy1ZkGlXOIxdK+YhdKsGKt2gvFIX49xg2YdtB/q47fvYP3C5nvynrv0jVA0Lsz0Ytu+HZOQRyuivUki5tqYd8jmwbynGt1ln6b3ygWUZtaVm8ai3DGJSvaaPEM3nNP7wSyIQE2DuC6gdv/4McARHFL695ShO3zyBM03fzTvBrzsZLdYLkolcwBoGvB2J9XUE8Unn5XvP/njACTgCwDiRQdNvQ8A7SfPwMuUUVtriiw7YAyIj1d5h3BXW8TzZdHnnorEsv7TP4ZmM1YvGDeUczI065C/t5cjhgfyKFb/9gUAqWburwaEZQO/HTMCs326wfDeSrJwp5qiGavQOIxn5ZE2V6MY5saI8YGMpXmRxqIlApKNo/1Isop/8dPfQLOdGPhIPQHyb1hQxhCw4bvEQPdsLAvIGF13H3QZXTmuHLQ2RnsZq3bURZlRlCkB7fLjK3z+0z9QnUuxvv9wQWiuil1BThb0YrOWcaw+KziLzQce7IGzT+XYcO6kJmgysjpNPpHuOZwRustke0imj4uPevzBt99D9yKdGAE4MT4OF+k5bIBxmdpRk4kKGDuJqQnp97PvWsNoGcb2PYdxBVx8FHOG8e/+lfcwnDPaF8ZDcgjBecZonxGI2ypsvf8Xx2+c94NZHEMHPAeV68+KpNHEi/A+91fgkRZioTEe3NUqSPMYABMERmMAhZCBSNqC66Nkrrb9GrWWpSxgDT7KlnNr3Tc4AzBXNUgoMvw27EWHEtdipetTMaYxZgh3HnfyeuQXMs1jszUZsiXWTJhF+gSSxT3FZeTaoVEGv5e4Jc2p6zln8s5Gx4FL/VJTGZ2CicuIUm0cY9xjUOoKzAtljQJIUtt0FC+A7zXlfvF8NFtGbMs71GxjhnvrGPMwErNstjI32S3aB7RXECalU9nUwCjfS4kJYjFs6hiksrrMQ44ZGbjU/ciuE8nu7cb0fNI8NJfyY7OBefGkzWmuCzcQ2itUdUPETY2j6WTgPNGJTnQUvTuSxV0TkcCVp+xzDnfBXIOJZtTWKewYQMEHsP7V9o75rNzzbUgE7Nz5ts3J+ZYOqNo0bZeBaZCczSBlRd5Z24gCz6zd1e6cBl+Q+8nlf60+btvITfGk3bldkpMUxJOpJJXajNQYICXG0v1te6KWmGM20t0eV+klIqe/0z6AAXV4q0REKt1N5yH1Md/bVDXL0toIkQ5DmYeo40huaO2nG+VebmRECwa8gd3i3WUWJuqR1DNwC8MlKwQcAEzZO3YEdi5b4+WYu4lbOvdzDl7LriA4uUn3ZVRjYJsv07R3EFT2usgwAyt72ojJ2BIcF3GcFPREBgcx9WgZNQYE4AYiMIC9eWSHnLNz2r6K+45KmUD2JUJTQVISUfpqBsM8ntRHYa6l8hcF5MQ+mRyAoH2tcQ+MNNcaVPwyRLmT39nOgVEZqz6+It1fZuGofpnMA2XvZoOVKiKCgLXS51775pNSMdu+znY1va/eG0QZXMUpcc1elmy3H7YeWgFNyU4RqwfKnmqhoEt1NRUQZWNRCFIweBLgFds6IS18GhcbD8nMNYBxj1a2CfkSFlTVzRyXlI2gWf9lgg91DIVdhDaJbHUs36OeP7W9hM7Jd0/5hddwbz/U1bViI0yssq/EdI/IFUCJNZkMmTE4kkQ2g4CZrNSk7ebkN0u1sTjErizG2BLCooZ4h4bgdtJ+bHUMSapIkoG1ZeS582YeCZnhcU5+A4QlS9h8Nj4byQLI9wNL0psm0lcw+c1L4NSzIj5Qx4DMRK7WjdiVOt9ehmxPXJCVNALMW37y7lwMnMQFxCjtHDjf3GuPkmsvxzXY/k/zapi4h31VgrBnFEZZQNWpPOmr2cVyoh2Y3SurDQfGYJnRdFN3KIZV/Z/q6w4l9WWfRHKY3xIzoFiuA5CNmNZ7EBszJqp3Y2Uqtk6oUjTHs5RBhQFQhOSN4OJF0Xu7gD0JDgwQjPoFRmgooz7zaY1hwjn2pJZEbAyKC/u/fzViQxyllbWvXLOjkiovqSDsHeg6BjFHRCYNPZXU9i5FbI4xtys1OGQRVA6WWdsB0gtAGQSTVQ1AjuWK2g6hkzT2WWJJQCRiFZVTs60XaWGY8d7YwLD0f2Y+UwZrYlT2+l1JPOWFy0V0SXZWCmWXd6OK20BcpkjWSah7reIlr8iUn+glbP6f4zlJ3A+dsRekvoeF7O4A4DdAdym5OuV4UpEGYbphUSDY2aOjNovKHgMgmGO2T67YDKTavLkG5XwKyDkvw1KyZUUPwCOn8y9V1gGfjul3HidtRiA2XL1XKq2wR/VeqgRT2Vem47iGTt6QE53oREfR/ZUsyMiMQG28dMk6pOdNQ7OZU4IaEpi0iuCmjagJcjU4atnAb8ba2MUsOr4p4oLGI3YNogZTbT3iqoHbpgCxJEWEhQP61IzuzJ2TAjlIQVjZVy/GsLxzQ1LB+V3INoeqGBChKiZkA7zC0gQv9Y0k14U534aZM+egsFZh3wvaE7XHJVUSx/Z9h8VTBvuCQYkt51wULmNCkOc+dqUYjlb7Cp7MPQoE2Yrl48qJEa/12U6gnznDdtrJY1vUgCyuO+TiOtHYLGIDjAu5v6oGsSX0DyQxb1jUu/i4UBuF/N8/KLaWcVWCs8JS/sZVsQ2wR8ZCKPgqLBlhCanaHoD+sdxs8RRZjcmYMAKGc5Himg1lCHdYAfG9AeHFIks8w4MINja6uDBukmQjGh4Wt9JLjacTur/MYkrWHmE8FJjq6PqZEr/mz0kbOT9lENE/xwFQaYtbL4l0FTDkxLCawVAAMAa4zZgzbmlMi9/FIvon8dv3sSo/pwCm7D0Yy+LzW4moFLAYCt4/vSh+F6qYgNymSWag6fpzZTKgKhVQUYod8TuuwEixLcZMXaSLpyz6uGEglERkFzhX8vLbkOfeDSXlvcK8/S7Cb2dyZ8CAy2KayyGYzFPpJAZi5OyipKQmjCtCOEuXD0D3HNlrokbOZiv5L4cLl9trNpwiQYHQy/95LkdhQJovI5eI3Am4zivqNQizbTY1YM2NMkfaVyapbhY66dfyU1XndPMCvFY/WwLtlcxhuzHlCDYe7lmbxw0A7XOHZi32DBqBqNBwElWnuUIGgOmcHUv3l1mECfJyitpUb4hm5R5NWj2N/+Ck188gOEuWbcmm7HQqEoQaIUgpPpOlm4aQs3hrRmjJsl0yWldu8lSzg5VBOIh3A4AfIoKThe03mvKuLGbXB6ml4QhuCIiUJJd+BI1qOje7BkRaqbwynLJOW1Slfk/moGxXiJP5TYNxxpiZM0V7sTW4kdFdxnwupftlpKZxncbO5XvFxoNIJKRcH0RD0hXBqVgC/R446/vF0Ay0V0Vfx0IRqLK4gGJHcSNj8aVk4pa5EqmkWXNhAF4ySWUvBdfMYlwU92ez0/Yjmk2RQnzPwAvpk/bXbyVhLxk3b7ORNl0vn8rjBRkrCzrDviMVwySbBU5AcykSW5aC1OaSsBfKnEIn0HIJHkOev6+mgbNywxkDp/fFwJkj+tLMv8x1aqL/uHFiTAwxi+WNc2DvBfSi6ovmjDjKdSoGUTAXA6dW3SYUjwZkIY3nycCZ1A2bJ4IbV+DQps5qVqvSmxI7X9Ue9VsZl7OQ9aowckmr57P0hGpHjA1lI2fOUJ28GN1lRH+uzI/hBiD6YjC26pu4DXUekPJPGoNeNixLH5V5xDYVA/aUvQvBGCTHlV0QlNU5Fff9FmgvBYjUP6CqxgY7qfsZn6VxJcOtG0RlaUqAan5umpXKuk77h4zmUtUxYDyXPuW6pl6SzrAxfg4XSHVIkuFzLPchTtdSMXYqkI1dUR3YAcOjCNf7LFlwA9A6gb6iccl6YDwTyWI8w63oZOA80YlOdBTdX8kCmFcf8m+168/CYOXADeQrExqdRWdmUIx1erwboCYznDtCRG7ocNQHavoeSvEaqzJQZGim6xLwVYvHd0FTCDez5PvMu1+b0sSxSBTl3CTkaGEgq9pYty6T4AhuSsY9qZ9uLMeV3MjAVu1EnF2hbigp6OS5kgS45WpgN3hn7P2Gop4Qi8HSQtErOHe+RvuEqoRgdtuGcg0dWAbEAA1Ut2/uSaYPt5nuKd1vZmFparOw0aZ2Qdvzj7FZBAYhir5PANnw6imTiKKjglkiT5FsFsOMzYJhEpvIIVlsEdAwbFZxmktdTWVaQ8wGRBvXQJY5ZhtNar8PNfgqRikpaKI4i81CGFk2eEbT1/zCSQd8SkqbDZSxMEP1cOTr2NiIo8kFyeYeCRBlGciezcIaRiOnMSAfk4Z0oebJyaK9a5QRIy/cZlMWHlmdXqckMJptMkgGVLktiYExFQ8CxEAq7UQxRGobPaOBRK4qpNxvgZgMmc7YpLUPNBbVIofnU7kXUgLgHEticCWK3sxzs4W8p0CyScnx4CRMnyJyrdObZvm+F8yCUj4LthXEnAciwz1+AACIn5ZcFDDwZQm1lj8+F18VjQH84kpqh5ArCXMsw9E6GjEmxGDKbqQArLOF5MUcAkh9c40D+kGu0ZIA/QBaUym0nO7lN2MuvVdQdA5Ocy4OAW7n8hg0nD2mvBXckBi2VNdXo54n0Mjwz7YlW5eOq/G5DCIA0HYQ1/EYSkFm7aciOHUcKZtY92ysw8yp2BV0HOoedUPMOrwyC32pgQQ8I4G2uz7mF/r/Z+/dQm1b0vOw76+qMeZlXfbe55zuc7pPS5HaVqLEMYmCcMAILAjkRkD4JUQvDomJYrCTlzzEyYsDxuCHXCAYjBViHD3Yxm9xEkNIRIIfjAkOCKsVISzolvu0zj6XfVmXeRljVNWfh///q2rMNffea+3d3axurYLFnGvMcalxq/ov3/99VqbfX4zlPrS6rXIdc10eM2g/YHE5L2dvS+Tb5W3q1CWus7T6/Nb8yDNJwu5yKvyk7GiWOeLg0DfLSqznesDJp+vCMZE9IQcJmvbXTdZBAV82KGRPhajXJWA8tZS69q0h/HUTo7+SVHt/MZXM2PppQNgQwq4OpOznA1KFj4sko4vza+ZH3Lrdi8HiaHM0S4veYM8qYraK3CQClGyXASBr2s4+gVnqtIrsaEDO0rGGMoRHOukQLnINZgZXUoxl+5RUCMhSBXIMN9V0ZSHbZQYmsSzagKhJGhKjkNywI4znHbptlJStZRIWQQK8R8R8mOeM4TRFcG6o/YGj27Sfh8xPuVPhHm6QmZoeFZEfA0RkgQcwMD5SEuBGSrDArdG8yPtYB4VDuYbU3LPEwhtiKd0GUt1maWyQE6SmHmQE+m1C6h3YA5NS0oVBz8lXiLwfks7sOlg0CFRWlXd34GJRzLMBR9CTdNM9y5ipvseFDFbWz5pp0su5qEQ7gq8QOjw3xHI/ZbBrXA1Y6lutq9gMjgR0m3RDmOmVpRNH2kOA86E9tId2q3Z/LQvgtcVkNTioMQT7BG7OUq/ZHpDZgT3JDFbsORawVVtfcVd6TbVWDt0R5Ln6OCu9HWWucVlyCLtUg69mCB0Rzf2+tgMLzqVcyqttpmUSwJVLuaRHbUbO3hWLogQTG9wGMDeT79LaYB1DYwtNwZWshNlsW1i5otTzBGfPjcZKJuAGu9cdm3FFAFCGLRT3AoBydxxcg9Rsmxi0bCwMUsFkc9vG4/2zmIvVucyWG8dFc83etf14WhbvyE9QWlvZCdyd9+CV6lx09H8+wJJIxSTd3M/36/yOtUPujGPtFeJNLZ1dWdacm/3J/3fvGlP9mx3zsA+v2HbWmljMMf6HO/fLzeMhh8eafT9yrLI91f1VV+v2nWuvz7Hr9S7tjYMFEf11IvqciL7VLHuPiP4PIvon+vlElxMR/fdE9LtE9I+J6F95657ZSDxNJfhW2iv4ODFO8veWqUU6sDZoMCQN3i5l+ar1b7BW1UyIG5P8Dc3flCRzwJYG/D5ME3ft8y2bixl+lD835cKxWfv/9vu/kQ4sP+B2LztJtsL+CqS8nYHftm+5WhevW+dVx/KDcGv6keEnQaHeul8/wLmjbbdxQ/4GgL8C4NeaZX8ewK8z818moj+v///nAP4tAD+jf/8qgL+qn+/cDJ3JADj4qioevFwr3yhoMwNdB84M0k8A80KylWQ4LBrPfZAgn6mjW1aBCJSNjNcBfQde9EXHgwDwelnv1yjh5XjWS7CwdTccFeUtv0+luMsPwvRNDHQXgsXlzoGGBO4dMGb5BOCvR3AXkB+ti/p3qavwVM4LANxW0a2JwXa+O93GwLEacHPXkk8b3u+bNK71e34vpCiMkfuKLC2R/SbrAaC4MNNJqHBvPZfx/RX8LpZrY+fQpnqNhZymiOGR5Rdt6pyTKaeFEvM2gwf1oi5m5d5lgCDCeOaQPWGhbsjw/rKWdjepYjkPIK2cqJijBiLdmLD90KFrMh/sAYq+FJf5UWppiCsCFAr9psTwoyiLAQCe50o7WNC2wOajBdKCsPpC3VMAm48cphNJn5Z7RQeDlu4i9cDiJc0Ie2X57UeaNw4WzPz3ieinDhb/EoBf1O//E4D/GzJY/BKAX2MJrf9DInpMRF9j5k9v3aNbtBnYpxkgakpN4gAiJXBQY2LbTXXGY+PfzFlISoDZAzkzA/XBZWOxSVnqU4qYsPrIGlk/bC2uwWZdZIafagp3dl7m91smwPo6TKDDQrLs4Jq+0iAiRUi52JB0qGti52E1D7ta2yEbNGatDSyTvEhuqvKBhn1psx6zouEp1wI10oKtXazFcJbdIh2ksr2Ums1JqWHnqv6/1UsAmibNZtJbDIDrdkSzIrSw5xkfhmUc7Jloa1ssO+JtwLPJYkrorrnUnBiblp+aAjcdSIswMRTmbdiIWCn4XJPZbuMg/XVCHghhl8oz1F0xAEmdtoREhd2b60AflNfjMHX6w2D3/rAZAJ4C+FC/fwzgu816n+iyh/bQHtqPeHvnbAgzM9ENL/KNjYh+BcCvAMCSTu52TEelzJaDBw3AIVkveQeOrnze2EdntpjiIYIDwyErbsDtoyyLAKGiC+GdiBYbTmKKgu+wGduKwxa+YBYqxVtl4nIxIzUVqHEpbojNtNk7OM3ZU061jH0UV4YXLTmDfnoqoC4AItasRMZlfVv3wA0xNy+u3Bwz0OTpS+FbENciB18tMZZZ2wBXco72k563PiZpKYHONNa+3nRDGhxNynC+8lnMwFdNJaeJH7Gv5r7Q1lGTWdC+JUZcKufmYOceZm5IbuTGzQ3hAzeEO4/x0ZyKMHdAHgjxxPAbUvzmUp3Vc7C+iTWRlnVdylyQrHIswnjqkRYEN3B5acdzwnQmrkRBpirC08BxBUi3gLo9NKfduwOfxdtaFp8R0dcAQD8/1+XfA/ATzXrf0GU3GjP/KjP/PDP/fE/LV/TuFf7UsezAu2QI3hChL1H8Ox6jHSRwwNs5y3zo7zeOX17Uw/O9Uzfu1maZBsyCh/OIPZXPGaHsYTbkaHSeXp05eG3f9DqS9WHex8KdOVun9g2zdalmHd6xHX1uDpcdZiVo/nnjXJr+vjabQSjcoIfn+MY+3rG9rWXxdwH8+wD+sn7+z83yP0dEfxsS2Ly4TbyCc0YeBlDobAFYpQzTcxHDNTlD13Wg/VjkDCll8DCCiMC6LgNwH35FIOTLvsyatKhydNliAXuVQTxZSim3DdGfP4dfyyDGWykEcOsl8tkJ8rorA5nzHulsgaAPcuHr1DoCSrm68KGyb/shgb0iHbdTmXHCZy/1vM7hrgfk9QJuK58A4J9fAvEcw4drhJ3evlKeXOURASAsg/qwjOlU1u0va/8oc7FYOuWNyIFmloXR1YvPrpaBF+IaI1SxRszoL0axyg5aG8w0i2L71Q7d1oKWdRCRzEKdVSkxFq4OMK18YRsXyR3AI2p9BWR2ndaEbiNxgeWXtcM5dHBRIO4AcP2NvsoXtrUw+n9cAf2VWgbeBss10qJaBob+TD3XUnA21iyqlhiASMagVQOU3TbX2pemXXwzIC6B1AUEZWWLJ0BcMfqp7jd2mGWLCiP7mhHXdAPVmesr8cb2xsGCiP4WJJj5ARF9AuAvQAaJv0NEfxrA7wH4d3X1vwfg3wbwuwC2AP6D23floL0uxdZKErYyhUe2nwUZG0Zry3ZQS2xzKJp8KDdQKdJmQQAAIABJREFU1s2lloGYBXR1UMzmt/HGS0OMIiPY/kZTlRcsadQpAUlZuVIrVchwY4TfN/BnC8LmA/lCDUBSrmnCAurK4koUo8UBDNEeLYHXkg2hEjCTnQiTFx1kIyizZJfiwb3AQTBTW7f1JfPCvqlEJVQTPOl3InQbDS4aHeFhsC7jxotmLFVhl5H6eb1Hd+0Bh3K+bcAzd1TBUBpIdZPCxCEcE1YMt3jBBZrNRGDPWuFq96FyY+QSQIcyb9VAJgCETT4aGO8uGX4nfbT1Fy8YbiL0l3X93MmgXqw5vT9hS0grITAu9IIWDL1lu0025Jdf8dO/dmRdBvBnb3/4h/bQHtqPSru/cO9DP70VHWrZr+z7IZLPO1CUIiFqrQWzHg6KvIRvs1LxE3AjaArnJADnUFOGXgKOzlJ/hRyYXi8C5Amt8E9ZbojHzoOcsHLZJwCQKpnNRYzksxUxAiSIKsFIauIONfbCoMrIVfrfnEMJHM6vQ1w6sWLGXBmuoGXmVpR30NhRcwwq3bZ0bEtWLPuya0Zwo6xXgoNdXbf9njpCPgjY+ammM+NyXsAnpLgVK5K98HeaqnnrhqSeSuAQkPWYoKJCBN5aH2Tm7nJl9spNJWg9B9SdN0Az9nQ0klhEkWYaJeLehE29BiYkVK5P42akJWaK7XdFrt7fweL70ezFOBTjeZd2JLjaQprp8PcfUjtG3MJaUZtz87v1l6vJX7b/AZedHOtfS4Jj8QpuKPSkb5i5Oz+w1gQZjU4QAJArn8cMat5kXX5YTRjT327b3HENEL9F+/EeLIw963CQyLnO1LbMaeT8TTciZyC0T3JFG7asWmUGP2DvqrPqXD3sqGKY9mv2ad8PV08MBKoRce0PZYZLGcl4K5grQrCBE4sAMevspTtofWdLtQLzAabN8LzuxWmEkgoNwMG1NkCXFaUB8tK6bIFDzLY7rMfIoQrzlD65ZmY/zBB4HRAazodyurFl9pK/dv+GlHSJkXvMuC7ZEbLnma5q7vR8GtkCOVe1WFC3R7p5HdlDgphULZ7cyX7bkvOyXrs/+8yYWSZvzLQctB+twYLaJ/YWzbuZywGg/H+jRkFrP17H5AegwWdYnwRDwMqFQVODaDzC3tUiTo8iUZt1rV+zT/vOmL2oReGsGQCyF6Uz5BrwMl1XSlzMaACFl4Iy1yrMtkvt8dsBphkgXlu9mZrKyFKNitkLLJgSYcJujy3M1nMsgX22wcFjFHuUAcc3MyfWX0rVomrrTqZTKizY5n74qTl3FtLe1LvC0A3oIOIkuFmCrTz/vW2mrl4o+BKO1s8U5i2uA46bIExhh+xb7f+uLk9rBr2s17FMGLds93ewOOYy2JvcUuW19HlNm72s7W9FJkAfWM0O0CRFYwYDL+u2zVi1UMu1RZcjC1Qcdb9QKri2uSlXCyJxnbkTF3KbWTbEOEDtU38vBVkt7RsxaGRQM4MTs2iVNAMIbDDQojSjs2tf4MNyakuTln041fLQ/c+uecw3zrv8ptfTAFftwORHg0DPX56axp3rmQC48b93x7MhuRNa/bBvskF6fn6s2QdKQoHnEhfqOTu2n0itNFk3GJUeSwFYpQcUJm9KDBc1azPV2bywX6Xj2ZCWUvDwPIjk+JaMp8wIO5rR/9n/JW411hhJ2FA5R9kBbgygr2vfB0jKQ3toD+0PQru/lsVhoPAQL/GGbEjZ5lDJTD+5aIFohH7hgUE/8epsCKUE7kPJhpipWlwbi1kEJ5mBxqrJvUduKk0LJZ2nsrxkQ/oA2k9ifruqFUIaU2DXBFNZZujcu1nmwm+i4DJiRirXa+7ylNhNrhiGMvMbTV3vZjGLuJJsiEs8y0a4iV+dDfGuZp4aoWgu/jeV45d9QbIQNnNbhWTuxE1pNU4AYFoR/METbSCk1JNkMJpsCAdC6gldsMyYyBbyRDcwG5YlsthEXEp8yI88c1k4SFam21ZtEerqNbesD6sieh5qDML6dMzTzl7OO3sUSyL1DtMZwzdaKPFEsyMWdjKco6Jrc3egG/JjEbN4XebiFm7I0e2dK26IvRzFDRkUlDU06x9zQwBRxypuAyppcDO4iJLZfHs3puqzxlwlCRPDDQegrFGV1hLXT/1dfO25ucrgwshV+9v49+YTN4FCYXOyFSQYK3ySufwOvN4Nmckxvs4NSble6/JZ3RBJj0LrYep2fqgcGAaSaqs1D8uxX+WGlG1nfKSMkLmA2ygp6CnhlWAvcyPCTgctEhEj49zkKKAoN3FhAG/dkHLP6BVuSDzuhkjMg2cuhx8Z3RXNmLSI56AsitUN8YMIKLUu1l3ckHs1WFCvw2BKc6ZvQDIQMcKdLMH7fSncYmZgivLZbsMsHBdtmfFqIfBw70CXm3IsAHApSfm5zXrTCLYBKdqx5KWlOIGT+d1ZiWcTgAQopDw8u75JjusdnGYlaJjgNvo9Jri9nDsrH4a73ALDCAyTHF+5K3gcQZdAWHV1QGxqS1pbiBigJHqpJakyRLRZGp6kD7mXQrbl081NBOZBloM7rwjTeYATiUH74cZ5A5iRGjuFxC9azIdZS1ZEVWQDtJ+OsHq6K+sCmBHg2vU9Frsyot3cOYSXVWbMb8Vyc8rxsTwJQkScGGFwRYeVdACTQUAtsM4hd4J5efTtCWFfmcfZ0axQsI0ZlUyOFbrF+XmGy3a2qs0KEHOgYoU9+nZEXDmEbctCTjOKgRbTsvkooNvwLC39o8furTUVeVuHPP/+e8LDsJCaCN7LMJ0uLuF/5qdBg5wlL3rQdg9e9nCr1Xy/+wFYLuog8vmzMpBOf/SbAAC3nwAipJMOFGutRP/7PXi9EBPf6kdWPWiMyOu+uBD+co+8DPBa70DPLwAA1z//kzIjZ66VqJ6KynnYpvp9lzGdeoCBk+/K+Y7vLRE2EWnh4YdKlNNdDpgeLZADlYekpBl7N6sN6a4iOBAcUakN6a4PakP0Iey/K3U1z/74R1WAmDGneNMmlZoS8S8PnmYcFpcVhm7bEwPDIz8XWNY6kEMIt2EtikBwLzPn6ukOX/zcqaxTNDbmOIe0lId/Rn6jZC9ulIFl9eWq9G14REgdYfVM+pAWVKUCHeCnOvRmdVG6BnwFAOffnfDJL3boL/rSf/bSj0mLqc1qIq4pVOPhcJPKJSp4avV0ccMaZALiWiQZ15+KODIAfO9PBEyPE7qLrg5GCku3616kBzpG2ABucrUPBMT/C7duDwHOh/bQHtqt2v2wLF7VWoj34fICWiIcEusCKKb5q8rXS+zAmXnn4HKuvmpTlk4toa7iNArvhRMODIN7U9EzUROwAVvlvpqQpThLv6dOKw+pBvFYKy1npdRUA5xVIFn33znkhiaNPZVCsiqs3J5Lha0Xd6ABOpkVlnq6YVmYyngRKWYx0+WcUXbAFuvQAqv23NsAZb0ucx8+d1RQnTZLWqCznZHl+upM2oCN3ISyfVrWmZYtQNo3s68H0kokDXNPs9hB7lDAVoCsJ9sQ0orBVo3aA2khsZzcW7BbLAhG7W+Z3YPu20BdTkwCoyO0e1XK0D0KpJ0JoHVEvq7CyGmdgWtX7p/1AU4qT8OGENdtrOv27X4PFndp7wDrPopie1d48au6cEjTd3D8yv3QLDwy2L0STPOK5XenJzqy39teEjsH2/RdLuVd+n2kj6897yaWcON4bzpum5w7AKzd0BdtP2ff6WgfKgN6+2C8qr8HJ8zzWHRxZRiCFtXPt2k/moPFYRr1WLM05jG4N9obKi9vVZpqjuFq+hCA/J8zmLlZP8PFXLIrFXgk+xYuhJoOlO91xrDOUCt+DAVweRO95ZsPPddMQtEFdRluxq8oATmTRgQwU/WizHCuySppv2f6HE7Ej8W6kX17VfNqyWFJX1QRc8b8Wtr+yxNctz0EVh3GLESHw7I/dm3smDKDF7nEIKls9jdjKbZdsTjyzZfaJcBrCTilWmJe+1aXeY2/uMRVnNj6plyflhL1g/BNSFbFroEgLwWZWS1oUjh+9hVslT2V+2I6rHbNeXD6g96bnaS1C9hZ5TJ5wfB7zEBZTX3hrdr9HSzIoSThD1ubs3dO8AYzk//ABTnmhphZ7rTYKkgU3IKO9RgZ8LUyk+/ohjDQuAnVDXFTJXPJHSEunRC36n5zp/97kroKdTlycKqTieNuSIN7aN2Q4mbcwg0xM9dIX8xVSMWEJuTM6DZG6gIVu9HK0NKtKoxsFZN2DHNP3uiGhOqGWDDTTHlKwtHQ1krAaeXnQl40v6PCJTGeAZ26C5gkhZyWTR+8kNi4idX9eY0bsmzckNMMVlKh3AHxhOFGAltyz5neKhXcQ1xn0bo1gWo7h0AaCEV50XOo16y9P+yAcDYh73yVoewY/lqkGonagCojqfuYGmK6PxBuyIz239ph4dPr2kx7pI6ytS6izubFd3zbqtV2s8YNaesBDlNoZbuDnDsdszK+z222/9aIs7G7q3UYRV2M5+dTl1VLozXB39HJK/08xk5NGXDKq9laBy42/zd9rbUYb9crwzK0x7/tNhRpViNjadYi5qz7exX9X1acC80NxDnEH3hHX1DaQzbkoT20h3ardn8ti4PyTzoM+DWRYjpYBkBYv50rnwAOMhOqCG46pMEhIx8vs26RnJ6QFn5GYsOdq+Ak7WdcOnQpF1AQICZrXDqAJA9vcOAutWraZjZatsHDT7mY4AJEUgIaPV+zSnJHAsW2ru6dgHSSw3SibtNUwT0uNnBtvUbTaSVyMd3NHDDT58id/rY4EKkhicncqD5lwTAUmPLCiGPqjJi6anK72JCnrzRz4l0xn3MPWMl4IZEBMD4SRCM0awBItXdcSuFX7usESwRMJ+LGmEsa14S4VneqA1pLI3dCLFPu79r6QsAHA6a98rU6y4YA0xMxu9zGgzsGMoGXio1ZZIlX7j1ocEDQa9P7ivg0I9cB42NGXDP6K1csuPgk4oMnG3w5+HJitEiInSoaMQGdXGC/ioibTp7ddWNudbc3U+/vYPG6mAVQYhbFhDzIMhxCiw9bKyAjojJAaERzWr7OWY2IBjcNnXe0shUKU05ibxc3xtWKQIED15fd4MQWC2EvkfJDcWH2gtALuzyr+Czn1cCd/ZgRg9fqxDzbz6vEdsOmQpet5Y7KwCHnIS952PPMPPaH4EOqQVw/NkK/g1wXHmt/zQ+3MnBb7oN+Zy5oQ0uP+gEz27i7aglr7HroX8RM2IeJELYacNbT9XvWmIUcw4KYdjL9VJelRsiYL3oEjYWklQzmfksIL4P2l9G9kKBDXOuguMzqxpHQ87fBWwscN4Hi7pLgBoLf1+pbfxFw+WgJdxnqoPsI8FcVmJcttnIdQI7RXRKmGc/s7d2T+ztYOHq9n9XAhMle6LdIdzI1wUPvkI3eTVmmisI6xPqgO8BjSxDV7l0zmAmOQr6nhRMy2YQD68fVLERDA/hakpl3bc0LLudQ4zmF+o6EVs6PdZmQ58pvdVndbYsVYa8W4ZEaiNe1yslR95Ma66QEenuu+AuqL39cMdJCV52sr6+OB9y6X10GqLKU514HQ1NO03OfFYx1kkXhBYvMZpw/K7mrmZPc4XgkkhiLxYSpb3hYlJSjBIrtmnk+vo87tPs7WLyplayDLy8QHVaJvqbNOC3VSuBAxRwWajcHnxg3uCNv0wjlRhUoczP+5VCj+whiItPQZCcgVYUibVc5KnLnZgI0P5DWnKYNAKwvlp1HWgPdpoms7wkusK43D+DaPivXJdXZ8y36Va+hZD0smGlsULkH4iMbqQK6K9J1Dyj7iYol8C6NFgnsutI37jPY+dkgxP4geN1nYPLghRBbUIHhy8+trGLqj1htej1OFiOu+gwYdkKfOw4yGNVrNi/6e5v2EOB8aA/tod2q3V/L4sBEnaUtlT0KACglFc6ty4q5n/Ns3XafBdCUMmgCnAJfLI5QSsDbY2XJidOM2Qry3WbJRq+klF8XgVzAhnoXmzLiDLiRZuXhbuTCA9mWo7spFzapSvFmvzFcG7BS37+sjzq7GZy4xDjsGnEzAzLgSP1pEs0JORCQVRzZAD5+lKCeSwyYRGAT+6C+WkPCEkUFZAQ03JZqPtcydPufy0zrppoa9Dsq6dBEFRRlj7bf6XGi8DxYkZzsl+GHxkpzMoO7SWJVM8q+iQvmA0BDuccSpCwxB4LbeknTWno02Tk0xxqczPzwoETFOrJ1fcMI7sfiXczAXsiEi80KiI2cZ3YCVCPIp4HAgqSTKddj2T2+bbu/gwXnqkx+4zeuauDBS3m4/Vkz9bFXIDxLmfMuw8csJdqZETa6jynCb+VKW9Wpc24OZAKqbXZgo6VOagxE/9OClzXq70YuNPrdJlXSFztW7NBdTZhOg4gFmUbqdgKdBsS1rwHO5jK1LkuJtbim2nVflx0jWUlLlAfPRa5ukEcR0okroL/UYLsua/EB/fZmYHo4d2UgBgur96QKWbpITsUrTqkBaVkpeFttap+hVpwjLmtA08BXxFL92V0D/QXQX9WBcP/EIWxQArrDOaEAxbi6XXa9pvPGdbKXzAEUHdLKJhkZlNJCsiKA9CWeyMTDOphTJHDP8FsHN1R3zmpsWqU3NwK7D2Ufixe1rDydJoxjEKmH9h6ussRj+gbQcjqBY494mis4jlCyMLdp93ewAPDKQjKgDgKG3gTmWYvWqjgG9zbOBuWBIOW2LME9LxocSAxSDgr2BDdmIbExgtuocG/bn87QJfrfqHYJZ2W9gS2k2WDdLZNTQXESilXEnSBIwzYV4eWSQgVmrEluzJI6nXItZ1fLhYzsxlbWfYRtQzLD6kOrHGDlkUCBYedSj1MHjFTEn6v11LJuG8io29QsTVUZw9ESdRfzTL3sWAt72b6Fe1OUgcL6bMtFpYyLeDEg5eep46ZEve47ewHD1RJ1e+kZfuMQrmvMIPdicRla1g8G/6bK8t0KI0cC7Wx/ejkbXgoOhP5SrM+wrVmhcOERQyekvcXacIUdrBVGTlEyNpIWbt6HH71sCIsu6QHhDXUd8k7sXArzrha4d3DAcoG8XsBvmmnGObXlXAPXbi5MS7rihY7OjxnTmRKzaKXmjH1KMyQcHNJK+uO28t1tdfDwNSouuXIqD03SqlNJnVYLIC0cxlO5kYX7IhBcg90owULX9LvUgchnXHvBX2gLO0Jce4RtY2W0VhHkdwDoD/sN9XS8cDy0WQ6Lzi9eAuOZvuQTyyxPNaJfI/T6f5va1oHIcBqGObEqKGOZilbd2dUskM3CbhIIdxHwUUr+uGJRDYfM8v2FHOvqmxn9pXVGLui0boKKHTA+Jvi9HKN/WV8qC4zaIDE+1n595hCfROGUAJCWjOlRxuqpb+DxDDfII1do+Z5E0N7LzH46wX9maRq5TrkDHNtzg1INnLuG48kBZ1+5xvXuvMLqVxH0IoADA5HEytDrOj1mdC8dpsftM41bt3sxWBC5m8u6DhwT3PvvAQDys+f1x1wzFJQYNIxwzMjvncmyKYFeXIKnSTgzJyWvmWouz+/MSZab31+MYCJYRW8+XyGe9gjXI6gz3L9D9+UlaD/BG85jN6CfEmgnTqyR9PQXsZiqRfRYZ6Uy2w41O3DymcQ9pnN5wogZce2Lr1xm2qXcsuVn2zkTOYDw0s8GA7efEF56UEoIprR2ZBsAIB1oV1+mGRV9AW3xXJksdUC35eLWuFRn5EmBYcGpxTOK1mrx90cAJCLFpj06UwoDCj6Gle0svNwV4prWjO6uaszCitNaoWI/MPorSev2lw0Og2RAWj7jMticfz4hfeYKA1eLY8mqkVK4QT+T/i4/3+H8t87QX5jVI4N2dyUuA6CuCzfpZQBx1cEPjLRwcMk3KV2zPKjiPJhw+jQhdYTFy1jWGR4vsL9+gvXQxniclO4HcfFymSiB/kIs21ZF7otmfn1Te8iGPLSH9tBu1e6FZXG0taS8x36z6H1M9f+2vPy2Lctsy50Xl8PMMma4MYn5b+Xod0lTc5OlMD+0IbyRwKF8D5NohkrUXvveUYlJiM6HLKaYxV35QTa7fCQ+tGAE2llP4wNttoNrtsKUxguC1apeLemQeOaS3La13AwA4DKAqbk2JCa8EN40157ts8aLTJUt7IE74z0OmovzvhWtk6LN23xvtgFqFqlgU7Rfwmiu6wyveJ5ZXDHfWBaFrk/Puwo7vds5Avd5sDhs7cMVPMgIUs2kcq4R4slA10k2xT51HWtmzvu93LW88EATxDNiWybA6cDEzoP7Drxe1PVSRl73FT6uZt/4KEjwrmXgDg5pSQo1Tkhmrl8nxBPh4Fy8EPcoLRxCFJ7OsMsli+L3UczIx0v4nfS9QsEd4km9peFagqGUPOKJ+NRhoy5ZIceVPngN4u7er1yZLVluCcICiAtCGHiGQgWTihbVl1cWSxBiPHMzDk4RK+4KJ2gridgOjhbo89sJw6OaIbEXoQU+TScSAGxRqJRZsh4aQAwNl8P+vabPAHbvh1oDQwClunN2Ujti2R9zZ7pNh+1HPMu+sAPoVGj55Z7V8n7W7APrxfSDIGH379kAI+6DcGjWC3n9dY+4AtgHdFt51jYfM+JZRnfZ9NMGpnk4C3HFWH7ZwHF13Tbj86Z2fwcL0wOZphs/sXOSMgVUX8MDXaipU4N+t3+H+yi8EV5eYvX144nsN1wN4EDg7MFGiLvw8IoWLTKG3sl3i2E0gVPRt2i5KKgE9Igd4qIiQ/ePHPzEWLysfRSZQZT9AVIAl1ZO8AwNB4X8NuezMGlFN1QW7LnWKkpKFg0PRynO0r4bVLs8WARMpw5hW7MJggtRv1yPZdmEtBQODnthTHPDRRRH2Pxo9vLCWLwg9YSgjN+l2EwLyWTfdda2orC0QEll+oEQNkA8IUxriVEAalEwsP+A0Wkmw48sKuqTXAMbYOzeGa0dUAOv7AjjVyL8riv9n84Yi+eVvi57KJFucw3OE/zOYTrXNCnXe5mDwdD1fBeAG/S3hteDA9B9dYfJrarlQIDfOrDnWfaFF4x4wvBbQmpo9X7kApxHW3FDDgq2ANA4VaDUbgSSBBi5Ef/FMCqFPhUq/7Z6NFxbspo1cOWBzAiW1YgZfjOpa6BAqV0E7UexIozSfz/CE4H2yjaux1q8mGYAKKDO0IC8VJ2lIjMjbAXnYanN7rqyZLuU6/cpo7+I6C5H0RZpro3befhdxS673QSnwkgG9qLBaKY0dWrrj7J8/UWawZIN32D6G4A8/JTl5coX9RwMBFZSxeqGgIFFqm6KBXb7iwg/VAp96TTENdQ+dGpZuN1UWLhLkJKhZDHVAjJ2r4LJSI2mh6vmv/W/u6aCH+kvkwKvLBPWXAfFe1TMjAatr0Y8+q0zhI35RkD6UtYrAz+jcJZagDOHUCwAF7kMPm2gtEwUDlhcZuSOsHiRhDUewMknC4yXp1jsGjeENH2sGbRK8gT0l6zEPuW04I4rDxxtDwHOh/bQHtqt2r2wLDhn5GEABdNay8gbyTOm5zI8+/ceAynDhyCWxV6HxOVCrIjlAnha06v8ta+ChrHoigAArVawsvOSqtaZNnVe4dw6S3/+Am6pdrceyy0XSO+fIS9CBdxcd4hnC3RajkydfKZexF8oM5RcT+QFe5MvjCUV2V0nxJUHO8LyqeiOuA/O4K8GiYdsR+S12K/uxTXck1PsPlqVGca0SVpdEgAI216AZJELz0V3ZchWyMys1sJCrZzpxCGYuE6Z2WhW3p07QtixVo/qOsoZ2V1OxVpo2/D+EkFjLFExKtff6EscIzes3C0Dls2wy5NQcR6WDUz23XAmdFBWDsAJMlMAV5IetbZ7P8CPjP5SDnb5k0FYvVWWsQ0sZi88mmZB5F6uy3RyguFx696pZRMIk8icwA/VtSvcoGSBTAFl2XUM+5vcnwBw8U2P3AOL566mTp8A03kGGuhB7ngWAC+8HgvG9mOROmwti5Zi703tXgwWxxodRsvJCQ444QBo1YCv2thE8ODkxV2wHH4j1WcxC/tMqwC/iwVsFbSaFahAK1ZUJwfCtFZQ1iAvegkmNmhPDgRunMIWNBV2TSyjd5W0Ro8V1x3cbtL9NGXp3mtFLNUqQr1W09oV0Bcgit7T2qHbVomD3M+NybjWQeTSi5nsq4kN88+XVAYXQIBYTEAYGjAVjGDGHy09Fwr7GpcA5EUvPvyqVX+vNSdpIS9Q6l0R9kkrcTeMf6KeC2b/A1rDwQKmGh9TwUdYP+KKmmtD2L8nkPi4BBYvG4zJSjJDVvo+PFG34ZIwnefivgrGg9FfEKLGTeKqImvTkst6IEYeSN0u7UNXJRPaloP+9U38qmPk9yekbdVDmB5ndC+bwaMJYKb3JuDLHulxU6z04xCzuMF32aZR29RpC+luH9Is2pp8DO7dMGNbupWmPC8Q40ZzsikOQ2YgcQnAGYP2IZO4AXHaiLabGM6w+FxnasqV0MTOy42pnlN7bjkr/JpvpPwKoU0ppNO6h6Ywi2Kug2oWYlk5jzwrVrI+AhKotBkfkBfQT5ZOrccvBV/HUte5uRbWl8aCcArUKtfKGMMUyjxj9240T9v0ral7ta0tABN26zZVg1malZKAzNwgxGcUm/1oiKvEXfbSX5fkGs4L4gQoVgrJYr2mtsy0QfxeBwu7denmfbVztSIy6xclAu88XFN67ndu9j83JQXYe7HG9jqYNBPAbdq9HSxuWBbeV5xry17VCP/MLAvnwH2HvOzhFLnZChhXVXJZnTsHjrkiIIlqoK4JUKYTkYqz6L3vPYYnAd21WCKGkDTJvxZPkLs6i81g1a5ZbqJHva/ndFj/ogJDM3Oyl320OpZ04rB/5NBv6hPh9w5JmcQBKfACgO664WMo6VDdt8K9y/8LII0W9GwuebIg7pHpyjXXopx3dYOMZdtFUSU3tCtlWR4G12R9xLIwd6Fe3yb4WS5CDXqKyFCbLUJh7ZbtxaLwBGy+OWH9HTk5N6mFs5s4rtOiAAAgAElEQVT3d3zM8IND7nPZR+rEevADIdvEEKplkQt9HgBi0ZBuLAv2zajcNDk3Od+kKVn2DFqlitKEFJG5obGemufhn/lDn+OT3/xoTqv3Y2lZ2AwLyAtvA4d9z3NMA3IGTRFu9LVCtZmlLcNhn34XJQOifjWs9F2/AzLYuH0CHKGzDMSYsLhIosLucxksREB5PssGoLxwFFsF8VwKquxYYTuBogkxNyrqKak105SXm5o56SBm7+TIWCkPqD3kfswzRfWFhEgK3sSlvjKN29isMO5WIyTspPCurfqUWbZmXtom5etaNGai0qkpWlNNUikbb/Zp9Hr7XLRHC+Aq4cCKuRmzMPi3n6TWo4VwUxL8RaGpGxiLl6Lnsf5ON1NBN4vF4hj9S7EKumtGd+lKlsUlcWPcJK6mbNMMqvu6jIk0ZlFjP246HrNwE5Ch6xuDVk9wzzr4sb7x9MLNYhalfH/B+L1vfwXdSMBz7QzxnSyLh2zIQ3toD+1W7d5aFjfaq6Dfr2pmRRyJV7xLoySUae3+CkT7MG7yg24WH1FT9tB9oMTixaQKypqR27TxhQNFtB9Ga7Ut5BwYxonRWgwtGc4PvBlcorEmKDEcGrSqNhFWYtzJln/LZvEkYB5LudM+RocWAs537PePzmDRsn23KmOvUh3z7shvfGMZN8LIPnFh1y5xEPuux2IvJLqG+HROkZoO84yMEQE3D1irGCa+qX4PVamsCCMHB2foSV8zBQZBL8LL0OebxCwVzkxZLohBUpMX5Vhtmq9KAUiCV0qhdb8WB9UMSwv3FrRmkzmBWrVBYj+HrZU/LH1pwFOppwLjFi4JKuu4idEKArdxkpvf58+BgcSyKnLlJmZhamslFuJFGsCN4rrYYOEgqFBzlQDJjohEAiEtGXxt91Ircpt4TivzaDGE3LFeU01Lc9OnG1fP7osC4pqYT1pn8FVbxjAfWJOJMxPAywzeuFnZ+o9FzOJG4yYmcUw0+HCwKMVluaZMmwyKsV21/vGMAQv14abmfzclxEU/z2RoxgGox4orJ777wZ3nZgCwdKkfaB54s/MhhZUPscLLAXDnCxOX9AEyDkaAF83Lq/6/i1xSpLacHRVWJgASa8nAtKY6uzal3+wxK0ZikkFjpq7uCL2jo0Viya6Hfpdr1M7e8peDZVosim8DX2XmrqjEiha1/fUH2ZAclOHKDJXmFsc1zYKsHOqs3cZijJl7Om0yHAnwGnNJK2A6q8vZCU/GdKZo3EuH6RFrfxrzTQdg1wRD45JKIV7b4gkjrhjdtYPXgPX4JAPLhOlsng6ePDeTi16HswhMDukkz1jHcSRN+6p2vwYLdTUOiW4AyEsYAngYQG069JBn01pMsk1MBZqN3QRmBhEVHoUC5Va2K8NdWOq1HAPiglDMcEOq2ZSY5SUo/1uAUpisDtOIFhV3Y2WvcmOG3zepYABuSrLvsX7a725M6La5grLsEEwlKAcAfhB8hZsYYXtkMAXKw2TXob/mG6Asm33bykY/suIy2mCaBjiPWBZhm+F1sGAthOqv6othkgNFN8REgQMKN6mxVJneqICy2pfveICTcmXBalOt3bVqfGgfwkYkBCjNod12zi7WARrqlviR0b/w6C/LYrWGAOI6IVkQcpYNIzQBTlnebfPRAGf/kuC3ElC1NO7imcc0EfoWV/EqUNa+k36NKBqsAO7ElPUQ4HxoD+2h3ardL8uiaTdwFm316G0QnM5J3CJUhWlqpA7fGsHZCYLSSsH9PiqjVRIuhYJS/CEgOA/cprgWsaLKxCXuR9jm6ivn6jowBPUJAEurwv2hIjipoDJLFaea5oVWb0mKb/hhIDgFmVlp9eq+qlq7LBueSF/Xn//wEJwcNLajPtVdEZzxSUR4FhAfvx25xb0dLG40EuWxW3tYjsDBg7vm4TVglz9E7ty+FbCUNuHjdOBrJzGPOwgdvVOjefaDQxMEtb52JFqh7JoqTI2naAbHNFDbmMgPrTXnYHERyjoAtQG/jmbgqx9UawO/42OuLqNKH/o07+/wfpbr+65SX7fqG8r1qgPi3Y67erLD9PxMyiZs8x/VACethGMR01RKvctvLSfndld4NY1jUz7rNqQ8ncbRCQD5vTPxzZnhn29kPS3N7ieJcRi3Ju/3IAVItceidAY3ZDgDX00J/csIf7WHdw75XM7hTRyZbj/NeDH9RqZN48JcPHWg3QDad6BxAu3r7x5AvwqzZyUHusHxCQBL0zqxku+rCV3vlWCG0V9IH6bzHm7MOP3eWOMj2g75MdPCCadmyrPfKGX466EynTfNjamiW/W8mdYFAp47yVS4pByRutzY0JkI59+V+2BxEpfmMRMpApsfl5SCgCIjf+aw/LxGLrtNB3aEcCXPx3Rygv5S+uAHV4huJBsjLOMGIlt/LgMxe+CD3wA6jT9lzVL5KRerS/qksRljUbCkW9R0sZ7v8tl0dAxIXV/iHMYh8vh3gOl7fZU3gIDy/FiZyCpKGLjaneP0CyA/rWjdL+5Qon4/BgsiUOiQr6/LovDhV8HM8BrsZK38jN97Dvq5n4Xbyg1Op0u4iy3S2RL+WbW5OHjQZgfu6inS9z4v3zd//A/LcTYJ7IDhvQ5uYoyncnXf+8cB0+OlUr3rw3S2AMWM8f1liegvPxswPg5wgxy7eypVsk//9a+ju64ktoDMmBY1Xz5njKfyvb9ibD4W1N+H/0j6e/mTSyxfJMQVobvOmLRf689HbL62wLQiLC41EKnv5rQmDI/qy3vyWUJcErotY/9Y+/uyyuSRZT8APPmWQDm/80tP0G30ehl9fq9pSzuPlcCZww4Yz+2FEvP95NN1sVpaZOL2w/ryjY+osDQtXphZXl0BN9ag43QqQb1H357wyS8qg/ZKritNhHSai04oPhjAFz24y6CFDkx7D4oOfiMs3Oe/dVb6tv2IMX4l4pEuGx5LFacbCblvGagkPZpWQP/CBldJQX3wG8Af/U9+E7/+2z8r++0yzs+2ePH5GT76WBh7X25WcI6RksN7Z3JxPz69wDb22MUOl/sloqJav/zWE6HrD1wyLzlIP/3ZhO531iWYSr/8Bf7MT/8D/M3v/jHELNt/fX2F77x8D8FnpEw4X8p782SxxYthjacvz/HRY4vGAr/3v9wkl3pVux+DxZHGKWNePNbAdIcEWL3HMAmsex+bDAnL7zHVT1uuzTIJfq/0eZdOUo2WCZiSkN0wyozo9xHIGWHvCmzYjRH9hYczIho9VrdhdFsFPemzHAaCHwWO3V/n4qf21xn8qZdj6X4XVwlhlwB4hH2TfRkzuk0GZVeV0Q02PjlV+9Lj7TL8QEKYo2a8ZWCMvs4ZhFrPsb+qZdhGzmI5/oKzWEnWgRhFL4NYZshum2s6toGJd9cyaAG1f2lZiWfYMh0BRS1M7pMUw4V9Qn8hvjm3FHaX1X2a9ktRMycP0x6lLINLuCZ0F10hlyEWZnC/68r5siOErdN+VwEkAOBrGejtRbUYRbdN+PXf/lnQCwuoABdfLOAnwlMWZnp37ZHXcmN+/1Imld93GvQYHNzOISv24eRKhZxbRTQi5BCQJof+EujUkvji2Rn+WvoFvHh+Wi7q77vHYFUkA4AXkIHw87M9ts/XQCJ852VVNJri7d3Ph2zIQ3toD+1W7d5aFq9VI2vQjwW8ZJkO25YO/l7RSsWh4hGM1IatujM3/p+nIhWXm+rU3LVoz5pqkKBUE1HvaIbqa/tQUHxNf5iAoj5u6xs1XwNbb6sm88EdzZ3yXrTUc+1xD5CjMxCZYh+MmNcsC+G9FB8+l5okwSBkX2fE1l8+PGdAwWF6XMt0GKGO4RI4ABxpRkloHJzGlVnPR7k3qR6rqHWRZCJKzEBhz9y4V6BadJY6zPAOHKqlBVQ+0uzF9bBnNXcALzL8VGfsvMxAkmfHMA4uaFGdYQ1DtboKqVBz3cztKgA5ADk6nPQTXqA+DovlhOF6URnQe+nYNHlRe78OoKbqlA9vymvavR0siAh8RHxIf6yEvZ2mOMNBJuJNhL2GAgxOXppebqZlB+AJufMSxDORIYWEz0rKSb8fIElNH5S51mWIIhnqd91HXErQSshVNAXXEdLSK4Guq+k9/d6Wgs+ChOHmYODHZpAoD6BwVxb0YlM+bvsglV6UNF99MdNSB4ArKgzWlIAA8bUL83lrxjcp2TJgupombJeRq5WXqaMC2W5Zn4jlWseTyv+QFgoL7xncq5u49QgbQu6B6VEuCmyyTyHXTV/WYKCkNiVGERopyNRVd0yuQR18z8+2uPhCRg9eZPjzEbxbwi3lAnBy4MGBM0Cduhtne4xjAPcJOTmkaKn8DklJkw3dykHuS4V86/UNGT91/gyfvTwDq0t7show7juQY3AmdL1WEzuGcxOGbUC/VIZ3vlsm542DBRH9dQD/DoDPmflf1GX/FYD/CMAXutp/ycx/T3/7LwD8achY+58y8/9+6940jV+nGxJzjVmMXlCTU8JMLT3l+d/heRlyc0wQ7VAHihl9QxLjBolZlHhEcEAU8lyJJ0hfwi4VbRE7ltMycolZWMCPEJNKAeyrbki3zcgvJV3olJKu28l+48qLvqppgQ4JfggwolegyXRsEpgawt7I6DZJy55rZB+wWIL8LvuoqE0juBUrQ9mnm/E2roRWr+hTyGqFBLds34Iroy/L8yCWUuororIznIGXgcLiMN1Wy7ZjLhqfxhBm6vPlGAnwW1JrTAeFqNbCHlg99cXfBwA6BRbPK1KTA6G/EOIaifXU/ndZINy2rFeiYj9lvPj8rNSy+MnLQDEQoma43NbBpO54K6/c1XAq12x0omquIspu1MDwvlpyIpsg5yc6IXodR4/f+OxjjJu+XOsXQwBPrmAxhqiB99WE6WIBioThuWYdWzHUW7TbWBZ/A8BfAfBrB8v/O2b+r9sFRPQvAPj3APwRAF8H8H8S0T/LzK9yKF7fXmVZNFaEWRbc+bkbYnR6La1e07LR8E8OTKTYg0rVz1aXkXKZdXPnQASklS+zpN84xJWH35hFIp/TShmeMoq1kXpIBoRk4JiMRj+6ohlq68aFg98zck/gUSwfO7e0FLq8wjIVDfzjyv4BwI9O+TJzAV+17NQtN6cV1E2n1cowgV0TGq4BTt0+VVo8YUEH+uv68LVmfFzVgKGl/uK6rlNYr9WSsExAXAqEPXUOk1oxudd0Y8IMujw9iQgvA9jXgdhFEosjCA1/kRRMousR15WFezqVTI+LYiEZH4X0S2o9DMJdAFdLwkcfvyjBTABwy4i46XDyVcl8bC+X6FYTcnJYrmTEW3YRmYHNboFx3yF0ciHSlyfgAXN2bw+M7yXQacT0bFkC448/uMbPf/Rd/L/uG0iaDVn1E652C3ifkbND52UnXz29xqerM+x3fekDAXjW3b6E9Y0BTmb++wCev2k9bb8E4G8z88DM3wbwuwD+2K1789Ae2kO7t+1dYhZ/joj+FIB/BOA/Y+YXAD4G8A+bdT7RZXdugtZ8sz9VuTTzPJBpEZ5X8Fe04B1SWTvRVGh8ewvAtVwQDLgpI5tuCGP2ac2PYuYLGZGZ/k4tDbEGbOaiLKxZhzoPLQ9o1SCRbf1QTfgZz2dzXnY+Un06348UOt28NmHXcHnq7J1Ck8YDCtLS7ysoqiXZbc3nauVwOV6p9OVq6lv5OZncoFWjdtZXlAIqDrKOHwjJNee+8RIDaR4DSpoiHURwp6Yjpb/ZFMi0X1GJeRHmFclMUj1qy+Kq7v/lZgWnymp5mcHJwW0dtpeVOnt8Lt83GpuYNG4wDQEcHZJetKAunz0ngKaeLz3iJMe3Z/fiYo0vHp/i4nJdYhb+ccbuuuKNOo2b/N7wRI53sYDzWtDHdKfU6dsOFn8VwF+EXOa/COC/AfAf3mUHRPQrAH4FAJZY3/j9tTGLA1Ibyvo6tjiLY5/tLuyBUmUvP2Q1/QxjYJ+5UvA1GYVWgKb9jhJsBGA6muahDCyqWprhsIi66W0Kga0cKwyVjKYlmSUNsKa+VphaWbXESCrsW1SwZFtzr0o3vWx3OODEJQrIyUUZLN1QX1BABhQXZZ9lcGLJUrRENW2NSG62t2sQV7UU3FyU3HFxf2wfhefCyoGM6yJgNuhzx+heuBlPBmWUIKgbah9IXSgb+Oye+b2R+845TikD0yMuWRpfgp8M51hwFACQCDxIjKJbyYAwPl8iPBrBTAhdDTjmTBJknKi4gXAAjRZT0iM4IJ5m4DQiP60DwcnZHpEd1idDyWrsxw79aoJzPMt0fP3JBf7p5+/BnU5IOkAQMYK/PavQWw0WzPyZfSei/wHA/6r/fg/ATzSrfkOXHdvHrwL4VQA4d+/ffJvfxDjVWg7MEox7C5YqYWuqAT3XsF4Z43VhpEp32H8b3LOXx7XLuPieLtWHfsYQVfrS9vcV7Nnfx1asJK4ZEbMyyvIo5zMzTlh/O7hOZSDUxSKMDMxMgDv0i60PGfMAXZacacu0RZlgHKVEBwM7NLX6juxpKbnSD2Iqc1xutVJNnlA/UyIQMTgR0LBxV/Uy1IHtlXMmYUoeU5OmtUHikLHBYhrv0t5qsCCirzHzp/rvnwTwLf3+dwH8TSL6byEBzp8B8P+8Vc9eh7M4xpTlmxSpqXYfMmPP9i8fhZW5d3M3RLdj+w5UvVBf8Qn2vVSFFvYrTV02b3pcUBGnYV9TgdlXuHPtDxVWqxl7laZM2df+2HORO9XSLJaFVqfm5lih6TdwI3VqwUy5RDXVmX11cdISRaV7xu6tiusthZ8hQEWj86APoQlsNmlVc7UAuS5mXZhu5ytxFsuEuJ7fa0oM7lgqNJvjyfEZqW/7IClRC3CiSZ1KX7n0s6ROPfDe2aYgM7kDqMvgbSiBxE10CF0EM+F0LeagdwxHjJcARurRr1X+MiyQDc/RGqyB4fskz5X2d9VP+MnTF3h6dVZWPVmMuN4v4Myt0QDnuhtxerLHdt9jvdQAJ4lVdNt2m9Tp3wLwiwA+IKJPAPwFAL9IRP+yns53APzHAMDMv0VEfwfA/wcgAvizb50JeWgP7aHdq/bGwYKZf/nI4v/xNev/JQB/6V06BeAmKKv5zp5Ah6nT0KAoDeF5iOA8QC8CKLO3pQatsIqDOwrKIjWh2xlZOCoPLAtSv5ka5GGHwmeZujrTpgUhnspMaVWpOYi1IzNq1czgzhU1cZ4fss6cNrFrft7wCbJy/Y2omWmLZVTjBVY8lnrAdDcARUKSFJKZRF8NVBI0tT9nfHLzGbx4INb3bv5ZKP103Zkl1rFaLYS4roVktMgSYOwYBTAzOFCU+xufRMSVYh8iwMSI5wnZmNmo8kyk/pBykcs6ABqKPykK+30nAUQXMk7O9rgaTrHU+MS0nLSQjOB1Jv/o9Aq72MG7jOs+FstgCIJ9OCwks5vWIjiJGP/8yaf41uKj4t68v9piP3alkGylfQgu42w5YDd0OFu2kVvcut1bBOcN3ZC2ZVRnWUvOreRafr/FFWj98hLMbDIBqWqLGODqLjEL8zmNH3N2TIiZXWIWE4qadRuncFNGWngBVNmzOuUSeCyn0g5QBy4Xk/xegp4H2x3D5MwyPIoVEQo5WZ6WEpR1sc1syPUjrmXc845U39sGgki4efxmMKv9r/toT4wi5oI6dpyJgMnK/wncK9Br72dUeYAoeBU8A8lJM1H9RPtb05cm/bWN/exExlHoA+YyNhKjMPdgFzt0LmE/rbAfOiwXSoOQ9TlMVM7XJ6pBnza8wYSLtMIwhVkwMzOVKlZrMTt4l8Vjd01A4w5ho3s7WNxInR5mRgxopVYEtyplDphxcx4ZRNogITf1DJUlShiqWsuCPamIDoNDzZa4iStfZ+HQbAJTNmlnhRnTnNNSWKLNB9cqUFYQGKOQ6wJA7j3YSbbkUAzIT3PeSBcZflIOzsH6VX1tQWvaVCnL/VCzK23VaBUhBihJbMSNTXxjqgOkxV9auPehbCDI0rS2Qg1IushleR5kHeHhrLGOMvg4LpYF772IDC8YvDCzxsNvnRwzcBGj9qOU2U/n9QX0g6BL/Z6QeG5ZEMs9sGV5sHNk7GIH6KCVM8B9Ao0Om52YH9MgLzMnwkvrlcvYTyvk7OAcY7cTdJsvjFmNtdZJWjgxYTnUFPLVdoFt6hGzQ9YA5ov9CrtdDx8yUiIkHUTG5LEbO+yve3wZTsp5HQ4qr2v3ZrAg78BtLQEzqO+QN0pS09dIFrXqY8xA34EXHjdCwK87nlkTLNFj0+ksTS0VirlCoRU3YeXYsj3QajFYc7FCrG2GomwvEKsWZt0HJbU2DJYd5ThugpICU+m3U56JkkF5Bc6i/f3Guul4FsCNbToVKsAs54gyWMj/LtZjuCSDzPz4df9+rOnmAqPmBr9h11P3XTJIqX5vXx7JyBBmOq6DE/3PzGWmpySpXxcJOJ3gki/79aNadYV/gzSrBs2M1XPJAXBDU7be9Ptyv4Tb6WDBkgVxA2FUwiKODpgk6zGSDArXfcR+6OAc49HJDp999ggA0I16bu399XL92LuCQwGAcdfhy/EU+31Xznfre8QhIKUMjg7G3xyjF0rFoWZPJGtye9PiXgwWN/g2AVDXATEKMxYAvroqv3EfqovgHDBF0BCQn0jtPo3KbfEanIXN4NnqFYI8LCUKf77AdNbBDx7BMhTLADcZMqjZ2ey7/BMXmsJrTdGgGAMH8DWXmTpkg1YTpnO5JduvOKwhMZT+mkqcwg9e9n3k+DLYHWQDsvn3B33VaHtJMWq/RXeCZutmLWSyl3V8zFh+ITGXw2Kx8bSyVdFSGbAH0S+tRVhzHRI5fj3kMbEjylwUzIt+Z9LByc4tsBRrRQIpSMoNJOe0Y/jPFiXWkBaE/XsyqMz4PzOpOPTcRZOBk5uBn8p1i6nyUSCwFIUtuEK4iQuOomQ9ACwXE3a7Hp999gg/94f+KQDgN7/4wxVfMTSuhQe4ywC5cq/61YQTPypmQ9brQkJQwBdCwmIhN2jZRVxulkDIxWUh4tcVZN9oD3wWD+2hPbRbtXthWRxtzOKK2L9N5SjtpsJIRcMEigluP4L7ULal7R48jqAtgUeLzFUbub/SgNKYAQJWX8oM7BsIth8y/JAaAeMEd71HNyUEZcN2mwFLZriNOrPK97l+lkRjopnVuw2VbEjYC+MWoGLFiUtwCwDWX4guiIuCLjXEIEVGf50RNqmIGZsF0F059A1zVLie1HTN8HtlIzfhZ7UsOlWzop30f/3pQdVokx2x4OnihbpZseIOSK0UNzXRep31/cjA89yIC8vybpsRNgo9LhgWdT3MhQskVb6XA1aKXmxL83OoVlbqfTl+QYCqdUcRah1ZbERcFHYo7Flhr/B4lXtsNUbYQSkKlYdCLb3lswlffusJTq6aIHPoRNXsS4kNhEmOLcTKcg5DkPvtM6EbxaIAgOWX4gqxr/B5OGD1GSEtA06eZgTVRrn+3VP8b1/+SwiXtYjyBU4KWxpxCaVgF4DFC0KXAPZ96Sv2P4Ixizu3Y0Ara7exrQ6Cj0wEl3Mht7HfZtF4ItzQUG2U2WddMN/ysCsW3+A5mrBFOEp/6vrGPdH216XcxE30xWK+GUhkqckwBfOyLkjjNfN+S5Zmvov5l9qHgjS08zoMGdn1c/PfjGqwlPAD1cbVWErVYG1cpXLPuNDOtUjHw1J626YEdQ+yG8baXc49Aez1/GmuZp6hQeVSCVoHVDfVGhf2QFL3jC1ASgCN0pdcULANuXB77ZqakPZcJMPUxI8gtTFRqRSrIBSkbN9S0tpPn2qcplQK48g9e027v4PF6154B4H2AmDT92i1Se/iiBEVdqzsnTBLQyyM3Dm4sTJYc7jDfgGYlmQ+3I4Ub9GgMiWQyLN1rfZCpAO1j4Fu7u/73GYsXl4HK3BhsxLWKfHby4OXABDBZxZZQ8jLxQ7gRAXXIfu8KTJ8t/7Z/ZL6jZL61EEpd/WF8JplEj3Zei/8wIU0mP2xo9y+tbEMweAAvG8sLMsqNZNHDgyftP/NtagEP01Atwe6GrKrjSSOkTtfg896jILTsGv+fQg43N/BouAojtTbZxSSGaHnz+CcQcMdhsnGMqCJQU5gxVCPxY0J4XqSakcNpvJ0x5e0zHg6s3nN34OK2C8gM2ckqUg1Uh0OgBsYRmNvA5Wb5hJ83+9G7SxHEMi9VxdNH97Ui4nsIjcjgNR8uMiFhLdUTjJATXraXK636Zt8aoFbYskyNNaNWCx1ACkZp8hwXOUNxSpRzdd3xBi72GR1XE0jl/0SKt6G6zYGWadUg5l+35yD7tO/iq6fAZqcDCoWFNUqWtv/m+pL7nSe776Lh/bQHtofhHZ/LYs3NQNlOeHQhDssgXxDazgnRc2LtCjMld9z7+HGSsNfRJNvfQz5OKam1bohxuNpgTVATO3cy+w9I9kNVFOHP6hW4ji3cEOMsFcZwdzEpRxeBIKobFMCpf44cvRN7RCFmr3C9JtS7htuyCjYEWPKsp0UxrDFu5voOdTzlABnvXZA44bk+TbFDWndIIPaN3DztHi9G5J63+BoZLnQEzbPzY+LG8I5Iw8DqNc7nBmsYKx4KcJD/v33AM7wRMA4gbYaKl4vQftR8thfVEKv/PGHoC4grxdwhuxcLmog0saarZKXni8EdKUPkX/6Ak7JS+xYfr1E/OAU8SSUF7hbBIyPeiwU5WmKZnHt0F1LJsWbInjnMJ06MAGLiyoc1F9EpD6APWH5iQhT0Edn6C4HxNMe4XpEPJVr039+jfGrp7j6iQU60/fQgGEOhGnlysveXwdkL5yaw5n0b/kiyUOmfBZG10dJQEH7J67stwRgSQhwzA2ZToBugxkXBCAPZH+VEXY3XcfNRwv01/JEj6fSl4tvBnSX5qKhfLacGIblyL0rFaVmattLaC/C+JjRXYr5bS8aMbD7UPQ+2AGnT6vPcf11DzegiDVdfNOXwadFUAqKVnc8/WwAABZkSURBVHgxTP80B1mWuh7jV2KpLzH+khyECg9Q4ppTdWVDM6ERw208/FjrhFafCWt6Ozh0V8CLP8LIq4Thk1A4QPbfGLF8NGDvVnVlz5jaknf13brzEXsmpMGDNOhJjsEnt/fB7sVgcefm26Ix/X7Is3lQMg5glrHIaiV4HUhy52YzO1yzT9ccCzKjVfp4+X5YkxEXws7ULpYSciqFaBYI7ELl/rT+muWRQ/2033MQkJbXB89mECHFQRMJRylxL+zZVszlCQ4VGFbIb1bVz29Zu3JAQdimvsZcbgKXqAggty0tqECkDQ4el4DfHRwryCBGRfxXgx6ohWxGhnPINxvXLOS3TSOWl9yNpC93/T2u9Nx0WdZydcqS7ch6IctgsWIhBLbrqAFsfzYhFbEmKuhaOpULFicH6HffN4UoxEhMyiGb9RzbKrva8irBn00C91cCnv5sxHtnGzwd6mtspDqHMf7H51ts9j2iz/BKeEPECO72wYx7NVgUy2KaZrgKAKDgwZlAj1bAfgRMf3TvgWkC7T24wVGAubomZiKen8j/KaO7kKnH7WQ/nSdQzNXVGKeing7VQyXvgbxC2KeqsZkl4Ggs4elU8ujrL6LMsE0qM3QOfvAAAd11LKZwuG70LfVY3eUEt53QM0C7ycihgXFCfzFi8Sgg7M3+hgTREmHRpB3CTmpY3MRYFCWtLLocRADXeou47uBSxun3ah6/UPn5OeIy7Aidsnu35i1loL+Y4IablsXqC1eCt07PO3WhHKsMPDo2GFReeDQkS7T+tLFCGsvCWn/lSgCz7dPiBRC2onGyeFn7xj4ge8LihfRr8dwJ21eSAWRWdeqB7rpKMKZeeUYIM0lBSxW7CZieyejmBxSGKxus7VyXVoujKZGTp/lowHX4JCD3HmFbA7Lut0/x9HyNvlVN7xhhupkFebFYIq0z/N4hNhW0074hBHlDu1eDxWubb2o/ci74ANLvdFgXkiHM3hbTAIQBfEpA8FW02MBdUyqiybIy1+OVzIkMJhS5QtRNv0NjHlxe1Aga86z+IgPwBigaMwKUYi3mIqdoBWluSiLMPLnyab/TlGSgaSEVul+rPQFQtDpmUniZwVqg1m6XVg48CeioFKMZJuMgVcvOhJHnaUdKkFqaI9ILYZeK4LI9dGHvZ/EGOHtRUWb1Mmh0OkChFrS1xW0ANHN1MFgotsCPgslrM0ndNiN7KtfeBJApAumkcUOUFcxvuPKAEiMtCfGEZpKC7KH7rFXFM+o/GyzsHKwWRK912M/va71+AI8yUERloewvAMChb1yW1NOMkqCUFGwJ21P5NMi7TDA3j/Wq9pANeWgP7aHdqt0Py+KYivrjR6Kibi7ERpRz4xfPREX9WmzEdLqAu9whna7KuoBa5ts92K1FhAgAvvu0/L75BYHX9pcRTITxURD6NnUvTmMWl4Krino6XYBSxnTeF/PO72MhqAGA7lMpQv703/g6+iueCRXnQEWXY3HZFRX1xQVj/56UUX8QhURl87UF+ssVphN3oKK+wPbDBcbTRkXd0HsdYTivJujyRVYcQVVRt6nNYNXmr5//jqiof/onnyDobaixC91MrYC0AvzOzzIchqRcPw2Fz6JFpG4+cmX2Hc/V9TmpKupVgtEwBmbuO/iR8ejbEd/7E9p3C98cuEHxSYS/UBYjexQyIZ0mhAsPOGB4bKw1wOZjBgfg5BOFYD8RM56SKKXlhuSYHTA+yVg8UyKkTk748e8A9Mtf4ItnUsSYo4MLGXn0ePyBXMiLizVOzvZgJqx6dWlJqp2vtguMOyHZBQTC7VWEqS36239jRH82wv32qVoUwKN/81P8c48/x7eeV/Ib7zLGGOacFQB+8vwFfufLryJ93aHX37zLWJyOuG27H4PFsRYCKKVqkTVBs7yoVadp1cHtI/IqwF3X0+GFBw+hfAIAXLVZ41JrO6IHO8L+sUMYWF42ACffDZhOwwySHE8C3JQRV64waoWdx/6JR9iZnKIcK66pRPXN5IwrGSxAEKnE05pW3H5N4gfTWrbfP5aUhXBQoogETeuA8ZQQ1wQXzTWR/k2nhOFxfcD94BBXQHeNkkmYBssoyCBifThdyHGnkxZmCMApM5ZDYWzKTya4iw7hmjA90gFrIoQtIWxqGXdbkSoCQdqHM/kaV03MRAP6uZNlJpMwnTG6KxGBmh6ry7iOAAuLdjibkDXA+8GTDS4fLbFYTDhZyEtwsVlhHANi6HD2lWvsr5XRagLiWUb31R3GS6H7ms4z8vsTeOdBqwT3rPrzaZ2BZcKk/c3vK5X/93r8mZ/+B/hr6Rfkuekn/NT5M/zGZ/9/e9eyJMlRbE+8sl7dPdXSMGqNBANIBsYCgwXwH/wIX8CG34AdC/Ys7hdc006YYTYsrsTiMkgmpJmeqe6uV2ZlRDgLj1fmVGuqJUCFlG7WVtX5iIyIyox0P+5+/C387OIjAMCz+QksSbRO4TsnXOXoR7N/4NpNsHEVLncnmAXb4X8ufwLbMuApgulJxmN8r2Ew82yKaBD8cP4Uv/v2e/iV+jl8WDXfnX6G96+/i5G0aEnijRHbKPfNCt+bPcfjq4f48fyTNK7fRxfXAXK8i4VzoBKHKOxguXO5/KD1gGV7uLSVZW0hWps+AYB8NtAiOCgbxiFGN5xQNo7sJNaHsn9FKQBLkLWD3khe/QHI2mG8cJB1xD74WmZN0Ft0tBXVUIrbV01eRFQDjJ+zy0+2fK3RTU7oUg1BB1BK7TzX4PCACUlY0a5XIZovvnnN2kPXAmrnkwZRhXO84ghIFW7ICEqapUiuuYhJ6E2kcwv4xnKUSunJXVE/hRhUTSzeER8Q3IbeFuCgAqpWoAquU72OXobAgBXHVLMrUW8czDU/vH6VY5v9Nr8ALhsFeaPRVoRlpNWzXMNWtgKr7RmmTZ5zcyPRyglGYbwQEm5TQToBr1Si/QcAWkq0pzKBiW4TXNlLwh8++gUWL3jBWQD47OoUu3WFP8m3AQDXN1NMZw3aVuHTJWsgfxldoGk1rJeoa5OIc/WNYizGqISZuEqhlhN82mhUVxmj+MuLC/xK/Rx/X7+GteX+/Pn5W2isRqUtdlbjQ/kAAPD26RU+uHyAtlX46GrOwxWEtf1fHCrHu1i8Sr4kfXsUQWCANOJK/WYLur67UvCL2G4RjiyIw71Luj0RyFY6yWQUjw/t+O72f5d0KOhj3wmce1D0N9H7F/0q4yNSW3Efdc8HcPfgst75ECKA23E/zyt5pNyhEmQsgd50juv2+YuI9TKt0Fzuhhf+SL9PsT5IHgIzZ5FghquCul+EvkIhmX23gZBEAp4k1pbZsmL7zgs4L5nkPlzXf5EouJ4MAOcggwxykBy1ZsE8nEHK6KZbAq1KbYO0hJAyffbPS+5UxXwIdsxqcjdl2fM5RQIUs0wL2IAhmBv+bm5ie2GFF3yNckF344wdmHXWVGLEYPn2tWOBauXhRiJxduZ+cQhwqr8R9rXTXGwZAPwqsEBRwVIVmcFDsFbJZp7aiiHHACLjdRmt2Z56mBsGZJN2QIAMmZYlD2hJvNtPbbcmA6wRs4jAa8Qs7IzfjqQzu7ebcnq+2kqQofSzi5GDu4cOwEmxuI6XoIlNOE8Z15EAaENo5x5qK+EmHmKRJ92Ng1s0mIPtPGBmlcTD6RKfSFbtR+MWs0mDRaMTmKnmHvWOTY2Ipbw+YcB+UU+wURWMZvVhgVlimqdsbQEqVD4zRTi99Hh3+hn+/Pyt9Jy8c+8SHy4eQAiCUR7zMdtYlhQenS/wZHGOR+eMm3gSeHIHheN4F4s+10KXKjmbBs7z/667aAjL2+Nn3B4l80H6QGvPQKaJ9rr3iWlblGZIqEuqN9ETwd/Lcod8bOaGiDej3gpQuJG77N7EwTYF74TZhvqnxR/AC1hU99MY4tg3lAKF4hjNhsO9UwZjpBEMwU7YhH7b3O9E2BvIayJ2kcwHIaE34ZncFL+ZZ1Cz5BalcoHot0sZ19CRciBEcMYx6TVHiwpLmbtzFcofeUCt8gNtjYZaqs5iIZyAm3jmC13ogv8zxGBsZAZkWwFzJSGdgGxkAl9j/1uVAVlzFYmLCH+7eo0riwFoVlwVnVqJZSDs3a5GqCYtiARWNW+rdwaeBLZb5syMVHjSFXwUhTekdcyXqdscR7GzGu9ffxeN1XBh/j5cPEDT6hQB+2zNBDxvnKzw0dUcbavwZMEgL3tkcLAc72IRIgxfKZHHojSo7sBn0XlrF67AyHMhCtp9imnsB7cNxJDg3Ld8zbImKWSwY8uksaKWR6e/veG9RFm/Z4yv+t4RUXwW/S8DsEgDKBm/S29ldD71be3Yjiy+39IFKvpAe44lgMsnqgIbEdENi8y+HrWHsC1qY9KG7Ypun4fb+tTZJqCVz5n6BM65EJTCqgEknsxcKczDOhlYuH3RHverUzdEdccSRUmPkbSotE34CPNqEpQkeMoKeRV+jHKo/VvzVXK8i8WhS16i/P8C5yJoDQVBbQbLaL9mcUdJwGl/u6cEPgmHAHB265iyNiE6DUTQ9D8i/euU4KXtApyC8v59mkXZXmlu3UU6tU5Df0T5Bo7z6cG1QxA0iyrMmS3YuWNfnPjS8+l6DNmxorkv6otSb6WJ5zgnmP07mCHJk2Tz715mj/alJYmd1UnxNmGBYgI3kRq0/4K00+NdLPqaxW2YRaw41tMsSIhQ1Uzk0OwOZhE/ww9r2EVXJmz1U6JJACKEdqe0cxm+y9414huieBt7nW30Es+IiV6i0CxipXEeX243ahYxB6EUZ5DSo2O7LjBJldvKz5hiHtmnOzSCqQJY96H3I4JvRYeWjk0KdLJAUS4WRX87BYTi/EfmbsUag9zF3wUQNtd35WPDw9+KXCkMAIyHHwuUr0wRqPZIAG7i4VXh6hWMQWT8KqSsWw7WKjUjVxFiti7PQZ7Hs3GDBdglKisHU1k0dgQT6oyacQ44ibVHY6UwRwI1kFi4Gxk0iXIRTB0O90pxT70xWuJD+SC9eObjLZ6tZ3w7CsLE5DiKs0mNxWqKs0mNLyKDN2SQQQY5SI5Xs/g8U2KPV6OjbRDlFHVVbC+k5LEkwedw0lWvDUcFWS5XSXvpXOAle9aNBFPPucImjm9agVCxO7zRNkiZlGUNEJJF5fEilZzPBXwd7e88V16J9FYtvSUpvXuV9/WTrgDATTOIx7VMQr9L7grPY3BVgWMQ4GQeX9yWmbeRgr38iI+zUwZ2S8lh6Eh99wZJC+CO8c9DI2Li3BjqPLHwKw0oxgwA8B1+0sLZivsVX4+OI0hpRFnLGuW3d/k/wJfwpxaul6VJEjgfbfD0lN/WbasgJcFMWjw44cl+0pzj4fk1nJeYGkYntfSwXmLnFKxVqS7qVjO5bkmWQ5L5KOZnGyxG4zRn3zlb4L5Z4e3TqxRHYUnhjZMVKuk6psdP5x/jvWffx/3TdQoF19Jjov/bIjiJQLbtkt+EFHS3YhIc/fACcA7qZAbaWYgmoMeVhrAOonWgZc4t8RdzAFPY0xFMLEikQ6FjraC3MYIz2ooaeuOTS1Ssa+hYUGbFd7kGsH50AlIiuRzlzmD1poLecrqzep3VUbMi6DpiEMHdNpPpBjCbjAjqrYcMVaL0kkMM1c6gumkhvIZZ23SsWu0wvtJo7pnkbgQxe5arBG8LxzZOYDcXMMus5tuxhKsi3pDDw8dvciqjuRYwPOWpr3aCDoN05JlUTc6ABAC9Aao1waxfjiIaXYnEzZncw1MBF8bgxmEx8LxgpYhOwSzW6wsNvY7nsSdJ1XnBBQC7NhCSQSIR7HzZCJCtoJcC7ZwS7T8AjC8lE9qEKNLNWwT3WgvUCo/eeYon//8tnoedBI090OYC1fbcYnK+xXJ7hkUzxeYFT4QYOUjZor0e4R+T03Stvz/lYlknM15UTscNlPTY7gy8F1wACEzXvy8IqyaBdV3BTT02oRj1B5cP8L3Zc3xw+SAd9+h8kSI0ASST471n38dv3vkjfv3XX+Lds8u0/0+lTfMKOY7FYp/0wURrc1p64Q7tuEgLbUS0DmJnobYy81FYx8DlrnR1BnQ6uD+zS9SDbP4OAGQ9zNLBzlR6oHTtMHsqoRoHBXA1NCC5NmXp0i1cm6XrVLWUWa/CNc3GQ7ScBh4/4/5Y6lAX5LMkABWZriMCvqRQT5RS8pZuCLqJrtOslZh16DeZguw2uzXjGx9gbU6v+TrxAS7HLPZoLKK4VnqQbSa/kTuw5qYAcZUfmJhYZtYEGULT9VokQtwy+tKNVIp3yX0SsCc+uUU7RZtJQG1yfRBVC+CygnTAx48vYGK4NwG0lnAzn1LU9XON9sUpTp4Bn16dJfZ1Wmk0Gw1hBepQv7S9HkGe8D24qXnbtjEQAqhXFdAoLksHwLhe1fs4tkYxcU0tk2bhHko8vnqYyhECwJPFOdpWJUV7seJF7P7pGr/+6y+xrEd4/PxNnhtBd4rsPN7Fol8XRIiE+ZSBVp3gq9IUCS7VVCYAAFNVA5F7AkD6tFPZ0SxISUAX3wFAS6aU17nknVlLtBOBSskA4uXgJma5yl0qg6b8qhsoFbfH4Kh2KmFWkoOHjMy0c1qmIjrJHIpv6glgi6AsveFtgkQi62HaerAZIZHG4ctgsmj6hPm0E3QWi/YsvNn3aBZei5f4L3gOC7MojkVmc8ONkUBQ4XOBHTuN7WYzpKtZFNeYOrSymHAEzULlgKtY6gEIczCl1AdvADe38LUETR3wgncIYnCUFIHCsXbuAEnwnxpczG/wt6tAwTh1qMYtmhcTjCf81Evl4SwPejrmbVGzuNQztK3K4eCqSvyhpQjFrlhrKPFRVNLjx/NPOppEDLyKEjULJT3ePbvE4+dv4gfnT3m8JPF/h68VA8A5yCCDHCbHq1l8SaHC3Zjk84JvqPf5r7j+nmvsrToG3N3X328/ujxpz759x+/bH8M6Cu/vXonQQ++AO+cqlWBo6WItt39O+4de75WBX50+FdFl0V2Jrjs2N1C6hgswNMQ3iOL/GFEp9vzQ5X4St/x8koOtyn5EoLJs04e2+m3o4lhfqLviDjf8f89i0Q//vu17EOEJsC6EaGc6vkQV1zNzIuV+sqs95WjbyEUJsD0ukAleLEE3wWNCYAo8MKDYp3+XNgSABXXbl+qm736qlsE+kiJ/hv2ZwLcbLKbrQJkWH3ZiELJDRBwWLK85RV2moko8N3ZCKcYh9bsN1BaxVmnN5frKamBANin23X/MWUnpO8A8GXoVcJtIe29CUFd0fMRrtkh5KMIJpLyUMhhPe6ht75YmgOYt/NYwflX0zU2oG00qiTlRPACnO4uGaAVw2oKWoTr7hs3O2D8z4y+2VbCtghg7nIx5UKvVGK+fM/g+q0IV9ZgN6gVsq2CqQKNgAOypqzUat3j9ZIOP5Un6fS5Ol2i8xryIm9hag/mkTpGiUX549hQfb+a4N6pxtWNUWQuPsdpzsVtE9GtdfhUihHgGYA3g8lXHfs3kPoYxfxPkmMf8iIi+dciBR7FYAIAQ4n0i+tlX3Y//pAxj/mbI12XMA8A5yCCDHCTDYjHIIIMcJMe0WPz2q+7AVyDDmL8Z8rUY89FgFoMMMshxyzFpFoMMMsgRy7BYDDLIIAfJsFgMMsggB8mwWAwyyCAHybBYDDLIIAfJPwGpqVbIwe9R1QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb246370b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.454060554504395 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1.0} is: \n",
      "[[6.5000e+01 2.6000e+01 4.0000e+00 ... 2.0000e+01 2.0000e+01 2.0000e+01]\n",
      " [2.6000e+01 1.3600e+02 4.0000e+00 ... 2.0000e+01 2.0000e+01 2.0000e+01]\n",
      " [4.0000e+00 4.0000e+00 6.5000e+01 ... 8.1000e+01 8.1000e+01 8.1000e+01]\n",
      " ...\n",
      " [2.0000e+01 2.0000e+01 8.1000e+01 ... 9.1250e+03 7.6650e+03 5.5890e+03]\n",
      " [2.0000e+01 2.0000e+01 8.1000e+01 ... 7.6650e+03 8.4950e+03 6.7820e+03]\n",
      " [2.0000e+01 2.0000e+01 8.1000e+01 ... 5.5890e+03 6.7820e+03 1.2811e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.75584816932678 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 10.0} is: \n",
      "[[3.530000e+02 2.600000e+01 4.000000e+00 ... 2.000000e+01 2.000000e+01\n",
      "  2.000000e+01]\n",
      " [2.600000e+01 3.880000e+03 4.000000e+00 ... 2.000000e+01 2.000000e+01\n",
      "  2.000000e+01]\n",
      " [4.000000e+00 4.000000e+00 3.530000e+02 ... 3.690000e+02 3.690000e+02\n",
      "  3.690000e+02]\n",
      " ...\n",
      " [2.000000e+01 2.000000e+01 3.690000e+02 ... 4.739057e+06 1.074417e+06\n",
      "  2.755890e+05]\n",
      " [2.000000e+01 2.000000e+01 3.690000e+02 ... 1.074417e+06 4.328477e+06\n",
      "  8.014190e+05]\n",
      " [2.000000e+01 2.000000e+01 3.690000e+02 ... 2.755890e+05 8.014190e+05\n",
      "  2.210647e+06]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.70102143287659 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 100.0} is: \n",
      "[[3.23300000e+03 2.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [2.60000000e+01 3.26440000e+05 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 3.23300000e+03 ... 3.24900000e+03\n",
      "  3.24900000e+03 3.24900000e+03]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 3.24900000e+03 ... 3.03369858e+10\n",
      "  7.88943417e+08 1.25719749e+08]\n",
      " [2.00000000e+01 2.00000000e+01 3.24900000e+03 ... 7.88943417e+08\n",
      "  2.99503080e+10 5.95792049e+08]\n",
      " [2.00000000e+01 2.00000000e+01 3.24900000e+03 ... 1.25719749e+08\n",
      "  5.95792049e+08 1.69987489e+09]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe26a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.31402778625488 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1000.0} is: \n",
      "[[3.20330000e+04 2.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [2.60000000e+01 3.20640400e+07 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 3.20330000e+04 ... 3.20490000e+04\n",
      "  3.20490000e+04 3.20490000e+04]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 3.20490000e+04 ... 2.89507275e+14\n",
      "  7.62870621e+11 1.13346785e+11]\n",
      " [2.00000000e+01 2.00000000e+01 3.20490000e+04 ... 7.62870621e+11\n",
      "  2.89123007e+14 5.77952908e+11]\n",
      " [2.00000000e+01 2.00000000e+01 3.20490000e+04 ... 1.13346785e+11\n",
      "  5.77952908e+11 1.65314474e+12]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f81d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.52541899681091 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 10000.0} is: \n",
      "[[3.20033000e+05 2.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [2.60000000e+01 3.20064004e+09 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 3.20033000e+05 ... 3.20049000e+05\n",
      "  3.20049000e+05 3.20049000e+05]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 3.20049000e+05 ... 2.88150433e+18\n",
      "  7.60286826e+14 1.12134428e+14]\n",
      " [2.00000000e+01 2.00000000e+01 3.20049000e+05 ... 7.60286826e+14\n",
      "  2.88112030e+18 5.76195029e+14]\n",
      " [2.00000000e+01 2.00000000e+01 3.20049000e+05 ... 1.12134428e+14\n",
      "  5.76195029e+14 1.64851405e+15]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 45.6383421421051 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 100000.0} is: \n",
      "[[3.2000330e+06 2.6000000e+01 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [2.6000000e+01 3.2000640e+11 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [4.0000000e+00 4.0000000e+00 3.2000330e+06 ... 3.2000490e+06\n",
      "  3.2000490e+06 3.2000490e+06]\n",
      " ...\n",
      " [2.0000000e+01 2.0000000e+01 3.2000490e+06 ... 2.8801504e+22\n",
      "  7.6002868e+17 1.1201344e+17]\n",
      " [2.0000000e+01 2.0000000e+01 3.2000490e+06 ... 7.6002868e+17\n",
      "  2.8801120e+22 5.7601950e+17]\n",
      " [2.0000000e+01 2.0000000e+01 3.2000490e+06 ... 1.1201344e+17\n",
      "  5.7601950e+17 1.6480514e+18]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb246377f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.595426082611084 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1000000.0} is: \n",
      "[[3.20000330e+07 2.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [2.60000000e+01 3.20000640e+13 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 3.20000330e+07 ... 3.20000490e+07\n",
      "  3.20000490e+07 3.20000490e+07]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 3.20000490e+07 ... 2.88001504e+26\n",
      "  7.60002868e+20 1.12001344e+20]\n",
      " [2.00000000e+01 2.00000000e+01 3.20000490e+07 ... 7.60002868e+20\n",
      "  2.88001120e+26 5.76001950e+20]\n",
      " [2.00000000e+01 2.00000000e+01 3.20000490e+07 ... 1.12001344e+20\n",
      "  5.76001950e+20 1.64800514e+21]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.45240020751953 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 10000000.0} is: \n",
      "[[3.20000033e+08 2.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [2.60000000e+01 3.20000064e+15 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 3.20000033e+08 ... 3.20000049e+08\n",
      "  3.20000049e+08 3.20000049e+08]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 3.20000049e+08 ... 2.88000150e+30\n",
      "  7.60000287e+23 1.12000134e+23]\n",
      " [2.00000000e+01 2.00000000e+01 3.20000049e+08 ... 7.60000287e+23\n",
      "  2.88000112e+30 5.76000195e+23]\n",
      " [2.00000000e+01 2.00000000e+01 3.20000049e+08 ... 1.12000134e+23\n",
      "  5.76000195e+23 1.64800051e+24]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACnZJREFUeJzt3U+I33edx/Hna9saUSw2dHfotmUtkks9OJShuktZIgX755J6KfVikEI8tIc91lM9ehGLsBYihMaD7eZSmkOwllx66KqNELqpbDFoShPTxN0uKspGG997mG/ojziz8+785vf7zszv+YDh9/t95/ubeX9mkiff729+v5lUFZK0kb8ZewBJO4OxkNRiLCS1GAtJLcZCUouxkNQyeiySPJjkrSRnkzw19jyzkuRckv9IcjrJqWHb3iSvJPnFcHnL2HNOI8mRJJeTnJnYtuYas+o7w/f9jST3jDf55q2z5m8kuTB8r08neXjifV8f1vxWkgfGmXpzRo1FkhuAfwUeAu4Gvpzk7jFnmrEvVNVyVa0Mt58CTlbVPuDkcHsnew548Lpt663xIWDf8HYIeHZOM2615/jrNQN8e/heL1fVCYDh3/ZjwGeG+3x3+D+wI4x9ZHEvcLaqfllVfwJeAA6MPNM8HQCODtePAo+MOMvUqupV4L3rNq+3xgPA92vVj4FPJrltPpNunXXWvJ4DwAtVdaWqfgWcZfX/wI4wdixuB96ZuH1+2LYbFfCjJD9LcmjYtlRVF4fr7wJL44w2U+utcbd/758cTq+OTJxe7ug1jx2LRXJfVd3D6uH3E0n+efKdtfq8+1393PtFWOPgWeDTwDJwEfjWuONsjbFjcQG4c+L2HcO2XaeqLgyXl4EXWT38vHTt0Hu4vDzehDOz3hp37fe+qi5V1dWq+gvwPT441djRax47Fq8D+5LcleQjrD74c3zkmbZcko8n+cS168AXgTOsrvXgsNtB4KVxJpyp9dZ4HPjK8FORzwO/nThd2dGue+zlS6x+r2F1zY8l2ZPkLlYf3P3pvOfbrBvH/ORV9X6SJ4GXgRuAI1X15pgzzcgS8GISWP2a/6CqfpjkdeBYkseBt4FHR5xxakmeB/YDtyY5DzwNfJO113gCeJjVB/n+CHx17gNvgXXWvD/JMqunXOeArwFU1ZtJjgE/B94Hnqiqq2PMvRnxJeqSOsY+DZG0QxgLSS3GQlKLsZDUYiwktcwsFh/21aQTT4FeGK55MeyWNc8kFpt8Nemu+IJ+SK55MeyKNc/qyGLRX00q7TqzegbnWq+u+9x6O38ke+qjfIybs3ehniHmmhfDdl7z//IH/lRX0tl3tKd7D+dxh2D1i3nfB79MSNKc/KROtved1WnIhq+uq6rDVbVSVSs3sWdGY0jaKrOKxUK8mlRaJDM5DVmgV5NKC2Nmj1kMv6T0xKw+vqT58hmcklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIarlxmjsnOQf8HrgKvF9VK0n2Av8GfAo4BzxaVf8z3ZiSxrYVRxZfqKrlqloZbj8FnKyqfcDJ4bakHW4WpyEHgKPD9aPAIzP4HJLmbNpYFPCjJD9LcmjYtlRVF4fr7wJLU34OSdvAVI9ZAPdV1YUkfwe8kuQ/J99ZVZWk1rrjEJdDAB/lY1OOIWnWpjqyqKoLw+Vl4EXgXuBSktsAhsvL69z3cFWtVNXKTeyZZgxJc7DpWCT5eJJPXLsOfBE4AxwHDg67HQRemnZISeOb5jRkCXgxybWP84Oq+mGS14FjSR4H3gYenX5MSWPbdCyq6pfAZ9fY/t/A/dMMJWn78RmcklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIatkwFkmOJLmc5MzEtr1JXknyi+HylmF7knwnydkkbyS5Z5bDS5qfzpHFc8CD1217CjhZVfuAk8NtgIeAfcPbIeDZrRlT0tg2jEVVvQq8d93mA8DR4fpR4JGJ7d+vVT8GPpnktq0aVtJ4NvuYxVJVXRyuvwssDddvB96Z2O/8sE3SDjf1A5xVVUB92PslOZTkVJJTf+bKtGNImrHNxuLStdOL4fLysP0CcOfEfncM2/5KVR2uqpWqWrmJPZscQ9K8bDYWx4GDw/WDwEsT278y/FTk88BvJ05XJO1gN260Q5Lngf3ArUnOA08D3wSOJXkceBt4dNj9BPAwcBb4I/DVGcwsaQQbxqKqvrzOu+5fY98Cnph2KEnbj8/glNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUoux0K70zLnXeObca2OPsasYC0ktG/4pAGkn+pdP/dPYI+w6HllIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEW0hp24+/CmHZNqaotGmXzbs7e+lzuH3sMaeH8pE7yu3ovnX09spDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktWwYiyRHklxOcmZi2zeSXEhyenh7eOJ9X09yNslbSR6Y1eCS5qtzZPEc8OAa279dVcvD2wmAJHcDjwGfGe7z3SQ3bNWwksazYSyq6lXgvebHOwC8UFVXqupXwFng3inmk7RNTPOYxZNJ3hhOU24Ztt0OvDOxz/lhm6QdbrOxeBb4NLAMXAS+9WE/QJJDSU4lOfVnrmxyDEnzsqlYVNWlqrpaVX8BvscHpxoXgDsndr1j2LbWxzhcVStVtXITezYzhqQ52lQsktw2cfNLwLWflBwHHkuyJ8ldwD7gp9ONKGk7uHGjHZI8D+wHbk1yHnga2J9kGSjgHPA1gKp6M8kx4OfA+8ATVXV1NqNLmif/FIC0wPxTAJK2nLGQ1GIsJLUYC2kbePnXp3n516fHHuP/ZSwktWz4o1NJs/fA3y+PPcKGPLKQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkLawZb+/ea5fS5jIe1gl/7xd3P7XMZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNbwzLnXxh5hy027Jv+KurTA/CvqkracsZDUYiwktRgLSS3b4gHOJL8B/gD819izzNmtuOZFsJ3X/A9V9bedHbdFLACSnKqqlbHnmCfXvBh2y5o9DZHUYiwktWynWBwee4ARuObFsCvWvG0es5C0vW2nIwtJ25ixkNRiLCS1GAtJLcZCUsv/ASXmitVDJa/KAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb68902ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.201547384262085 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 100000000.0} is: \n",
      "[[3.20000003e+09 2.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [2.60000000e+01 3.20000006e+17 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 3.20000003e+09 ... 3.20000005e+09\n",
      "  3.20000005e+09 3.20000005e+09]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 3.20000005e+09 ... 2.88000015e+34\n",
      "  7.60000029e+26 1.12000013e+26]\n",
      " [2.00000000e+01 2.00000000e+01 3.20000005e+09 ... 7.60000029e+26\n",
      "  2.88000011e+34 5.76000020e+26]\n",
      " [2.00000000e+01 2.00000000e+01 3.20000005e+09 ... 1.12000013e+26\n",
      "  5.76000020e+26 1.64800005e+27]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.103229999542236 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 1000000000.0} is: \n",
      "[[3.20000000e+10 2.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [2.60000000e+01 3.20000001e+19 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 3.20000000e+10 ... 3.20000000e+10\n",
      "  3.20000000e+10 3.20000000e+10]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 3.20000000e+10 ... 2.88000002e+38\n",
      "  7.60000003e+29 1.12000001e+29]\n",
      " [2.00000000e+01 2.00000000e+01 3.20000000e+10 ... 7.60000003e+29\n",
      "  2.88000001e+38 5.76000002e+29]\n",
      " [2.00000000e+01 2.00000000e+01 3.20000000e+10 ... 1.12000001e+29\n",
      "  5.76000002e+29 1.64800001e+30]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e5208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.929738998413086 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 3.0, 'lmda': 10000000000.0} is: \n",
      "[[3.200e+11 2.600e+01 4.000e+00 ... 2.000e+01 2.000e+01 2.000e+01]\n",
      " [2.600e+01 3.200e+21 4.000e+00 ... 2.000e+01 2.000e+01 2.000e+01]\n",
      " [4.000e+00 4.000e+00 3.200e+11 ... 3.200e+11 3.200e+11 3.200e+11]\n",
      " ...\n",
      " [2.000e+01 2.000e+01 3.200e+11 ... 2.880e+42 7.600e+32 1.120e+32]\n",
      " [2.000e+01 2.000e+01 3.200e+11 ... 7.600e+32 2.880e+42 5.760e+32]\n",
      " [2.000e+01 2.000e+01 3.200e+11 ... 1.120e+32 5.760e+32 1.648e+33]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb68902ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 37.003591537475586 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1e-10} is: \n",
      "[[2.000e-19 1.200e-19 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e-19 2.000e-19 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 2.000e-19 ... 2.000e-19 2.000e-19 2.000e-19]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 2.000e-19 ... 1.052e-17 1.052e-17 9.840e-18]\n",
      " [0.000e+00 0.000e+00 2.000e-19 ... 1.052e-17 1.052e-17 9.840e-18]\n",
      " [0.000e+00 0.000e+00 2.000e-19 ... 9.840e-18 9.840e-18 9.220e-18]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 39.74063420295715 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1e-09} is: \n",
      "[[2.000e-17 1.200e-17 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e-17 2.000e-17 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 2.000e-17 ... 2.000e-17 2.000e-17 2.000e-17]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 2.000e-17 ... 1.052e-15 1.052e-15 9.840e-16]\n",
      " [0.000e+00 0.000e+00 2.000e-17 ... 1.052e-15 1.052e-15 9.840e-16]\n",
      " [0.000e+00 0.000e+00 2.000e-17 ... 9.840e-16 9.840e-16 9.220e-16]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 38.531572341918945 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1e-08} is: \n",
      "[[2.000e-15 1.200e-15 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e-15 2.000e-15 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 2.000e-15 ... 2.000e-15 2.000e-15 2.000e-15]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 2.000e-15 ... 1.052e-13 1.052e-13 9.840e-14]\n",
      " [0.000e+00 0.000e+00 2.000e-15 ... 1.052e-13 1.052e-13 9.840e-14]\n",
      " [0.000e+00 0.000e+00 2.000e-15 ... 9.840e-14 9.840e-14 9.220e-14]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 37.05235052108765 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1e-07} is: \n",
      "[[2.000e-13 1.200e-13 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e-13 2.000e-13 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 2.000e-13 ... 2.000e-13 2.000e-13 2.000e-13]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 2.000e-13 ... 1.052e-11 1.052e-11 9.840e-12]\n",
      " [0.000e+00 0.000e+00 2.000e-13 ... 1.052e-11 1.052e-11 9.840e-12]\n",
      " [0.000e+00 0.000e+00 2.000e-13 ... 9.840e-12 9.840e-12 9.220e-12]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 36.662347078323364 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1e-06} is: \n",
      "[[2.000e-11 1.200e-11 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e-11 2.000e-11 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 2.000e-11 ... 2.000e-11 2.000e-11 2.000e-11]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 2.000e-11 ... 1.052e-09 1.052e-09 9.840e-10]\n",
      " [0.000e+00 0.000e+00 2.000e-11 ... 1.052e-09 1.052e-09 9.840e-10]\n",
      " [0.000e+00 0.000e+00 2.000e-11 ... 9.840e-10 9.840e-10 9.220e-10]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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Ke5hqTEeOWZhy8Tp2IO3K56t8LaBT8d5+R2IiAOLjT+4kkIyuNgd/12lU6gOQd2D9Qw2xdLbKInU20Jk4bYwsjTFW3qmXkYwjnAHtpkCsKT6k9oyFqPeWCHS5hlyc5fECaNTB+P4jBW6l+Bupd90XBZJ9tCheFmadZz+oapwnoAbevF5JlTOmIA8OuTWL2ibv61pJHUgGYPa825cOjGFP448ur9SLVY+rPx57dDJwnuhEJzqK7oVkAeBacMg0gGrvWI7FLZftGzeEsNf9mTFzDLo6DXT2Bry1GcNL0IdUsCB7xkXrJ0za3xQ1azNxqUbJbWJu3xBKMqx4QKI79PeRlG1HzfgOrG3tgjaJJ4/ZjMZp3LwPXLsx1WsUIxArNWk6zvzJZZwijV3FKI/xuudHpJ1r3T69/muge8EsJEbI0DexIfEqpVBLqL0apGWAK8BsEmqjaEBXD86LkdRERNMzq7Dl3M8siXOij2J49NGeoY4cq6pD3BjpaDYrMRUmtlf5OfJNq2wKGTAFADGUmJI0BzpbKQCrmh+QsACLOdwXPv9i0BegIqbFOJjYPAxtuHiNQI3SenEmx2SadSpmV7+ZZ8NE3T3qZg24DQD4K1/ax2YY1Z6TmOwONrfaflCdJ26fmVOIeU4y64AnGq0rUJWOHBc70Ve/rF6pECGdLzaLyjZChsmYd6ra9APiag7a9GW8LqmvdZq+ib1GEjiLxpYR0LPt/hwA4Pu/AmFWz5jNF0A4n8NdlngemXm1WdjfvqxJ/NrnwNsxA8AAQP5pG8H9IroXzOIgHQpGsp+qYCXzdjReDzsmxgLaMjJubQ9CDe4KoXg5rM9qLBJMD4+QWPISyBiS54GQnV/Di0FT5qkAql0ZhTGhH4rnJSbbi/3eD2oBr9eIuAV9pbmSeYZs5xpHfakOSSyYeHGMpsbmYVAGNE1qE9VDcohZUCzxHjZvGDBJGwtjuCZQTczqX9tfDthUmnPyTi7q6dhVL5YZflMbbWb6kqc8JsYY8nUqbxUZo4oR9PSq6P5mxB7H4p4H9t3G1wWSTQMcbW4+BZARZQ8H7Qa4YSwennRcA/ZrvCEC7PrGS0NT290L6P4yi9r7YWSLVHk4Wq9HZflNWAzDYeQ+uZIkMJUsKi/HdldJFqXP7CHx1U4965J3o/Lve/9ib0XyVADqoTDJgtLDYh6WqWSBqNLVngRgD2n98o5B4cyVhwIDt2qMPdBjekluIFlMd3aEoPMK+y8tullZD5OoakwHs6IWo6gnon6IzThokuENJQs7VmZd+yLNZ0CF2ZHVIsPSZeaBCSbDXOm2BuIZtB0Uv/G6JItrVAc5W0IcgUIVSDbrkmRRJad+gWQRzufgjYd0lbv7wJpdR/eKWTRRp5MHtsFdNGoEDksWCYtR2zyk7/f1uJtKFobPqCQE1R1VV5Wx8rffpWQxlQCMUdWp72znPBDunb9aZjDbtWvsQ913Ta9JspAJ9oIMolzbaibr04zndUsWz6+yi5eMIeoAitSTwV6JEW97xUbctWThuLh4bQwh3kyyGBVnIv52ksXJG3KiE53oKLpXksULQ9QX84y7MAyF/pB2dZJmN8oiK3FJovveu1kfDR9+1F7c7CCW/CaEYv2vr9X5Zkcj7zUatR9AJOD33tHu3n+0v2tMkt9Ivbu4oVwXSAFd+1xfklRFq2UD5d1LpgvorslUrPMAMPTNsWZ7oXceADEeh324RfIbqfJU2ry5CrM3j8W1SWPOloiP0j27JvmNHPJWVR4ZmSa/6fsGT+FWyyIhBG7nmBCYGfhnIQIXZ8Cjj+4++U1SU+XirBh6v/MBsPYZI6OTeEHyG5fwH828jveY3Ctm8dopSnGtAq/HlXQwnXqBnNMNFv+V6Rj3bJ3QFihrUv8O6MtwA5H0tVMUCKdPxOvdgXdIUqtACfV54CD9pKTivOGEQbrZ3fKaIc3pls/o/VJDrvMb14cce3MO9RFCWbBXpXjNON/UA3STOUyljkNSyD0ije2gfVvJmyROhuA6R8bUBnWHWdavo5vYGPboFcd7PyQLAsCuKU/Hq1Vxo6EYfuIHjzRxjYmD3quBqo49ANRAaYlpEtWqh/va9+mXQaHAspiBxqAJUQDg2aWKfrEEl1HXQXa9GpGqWA5aLfILaElk+Af/XGNoAgB0PlunedMXa/kYIEuNJfGfXGq/F6tsjKJhzEYp2uwgy7kaAifZnKTzjQWe1lvFCwxjntfBcwBIStojP/JDoKGFOWeLenpxwsLDbUfQENqozSGAh1DuQ22kXHTZ8m/niEi+Vt2PpL6snYYAPHmO+K//K7rGtoZjROyK+7Wx8qex8hBBUSNiw9LDP0nGTBGEpXo0fMI2RGbEVZfnxes2qYzOMcVlrPT++w+e4urf+QvoLnVdoyPEGcNvAsZFmRPbeZ15Q5L6FwQQIM7078WHVQ5UWz4CAhFix/BPd1mN2PzbfwG7dx3mT8r9CguG20R9p6Rcx/pz24BQjSs+OR5ncb+3mBOd6ET3hu6HZHFTqpOpStQdagouMlBWuEYtsB02ZRWiYVSXmRkgDYYbK/05BAU1oYIcp3DxLOkYnHhXwuhztKYIaDT/ehX6HgXozSWcrpV0Zho1cMhwTDlvxHDACBwn+mw/aNs4FlvKoXMAREvVthnaPpjymC1i0iWJgIZKpYsoUadGNbR6KFGUee2GsYRTjy2Wo26nUYFvvEluacMoBEk7swHt0jo7zhehMYKGqOA0orwrUxAwEaTjLMWQjOpKHiPgQ85aBQAyVFnCUFzOtBvgr0JObceeEUcHtx5AY2VwtxQAlsW9Y+3DzGlp7LxL94dZxwEAjkBjBHsGb/sssXaXI8QT/LpIFtxHuF1UMSC2kgVFAe8CXJXv4iY2tk8ns6jxBMRFxzU6ZgEqXbTRT2trteMUpTeBGR9BwgSS6hp53PvfhW0caFMDOtab2YwrgZeOHskNabqWVT7L/TWrcAcsgKFaJ0AfIdmf+23HVn0K6b+8GjlvSHkptUJa8vowlXwSKC+veVHoGg/Py8dVX5vK3/UyxBY7YmoCSFUme1Ty+Fx5fq693wyIA5of03WFCMRtJnA6mAr5eLq/zGKaKLYGEnmvOTOBlM3K7dV5yAjIA7kmAEAWCTFpNovVQndry3Ox2SLnETDAkmN14c66nM+AAMj5qoRtW6j7+VKlBZsLVP823ZzXff5OQ0A40/H4lGdSVnPQegeZuQYNSCGU608zUHe+yVVAKV9DgyY8cA4AULIXje8sW5sFKhuDYYFWHm49gnuX4wxIks2iD3lHrMPX49l8zz4hZ7OcXLaOVwDQtHMfwDGif1dd66b38xARZhVz9cZEygvCgwOJHjuuHOY5bF4QzjqEWUGLSrfAeObBQ1T7wFVZq5iuw70eO57pui36EesvdZg/NYmBEGaM7sphWJWxuSFJcGmMYUaAABzS+qR2TuUihahBcw7vzBE7wuyJz+u4/uIMm88xltUajAuC31Q2Cd+ymW4TMSyreJGuZewvovvLLIDGwLkf95EWNSa//lSaMM9H7S+v+shirkGhk0icHzTzzDRitWg2JaBiDim7Uu4vian9uGfgJFNrAL1eFZ/BfSjXBIqIPwZNxkJVX6aaTI2VIs0DRimbFg1jUXkOnFOPm7dDC0EmyshaqXZP7kOTRdqYRaOaZBVFk67sQZtjzA8+T1TFup2GAPQDeJvWNon3FNR4aV7jzCy47NQ8iqoiUeCYyhiCiuSQYrSkIcKna/PEwElDa+DML04/oFvHrArEjkEj9O8adDqq9ywzupFAAUUN8frFmFGdsFeY4HtlYLwuOInuKiLMCX5dPdeB4CsDZ+wqySKogZOqR4DC5L15Ad1fZsFVsBMwkSxcm4NzHEu+TEDFYyGFbjtXINw1GMl2VBOPZ52Kg4skMVw59STUL6l32ROSJYt+0OxKlmbNvDczXyQj22Cdy1Z1ro6lGBGWnWYySlmP4szrMVX+RQDqOZl1mpl6Ks5PJAuMQduIsgRx6BwApd7nomvsP1J5Q8xmERYOzhPEMeLcJAsB9Qyuxd4KEBXnHuRbbwiigC3xzFSyqNqZGTTrEJa2NpVkMefywlkWKl8Ym9tF0MjgUTBcOHBfMqSFhUdYMLhPa0CUJAtWyaIaz3WShZ916M8ZNNrYCOOcAHiMlWTBY/J6pE7DnDQbgo09Heov0/PjuXiPHIHSi89DlxnXcO6we8ioH9Ew1yxhkrTEUDk7KCZBs5IsmlIBL6GTN+REJzrRUXQvJAsiBnUesqvEWlJzjFVgGt//IP8mfV/UkISnQAiaCg8AxoDw6CNcl/IOAPAs4RkSdJs2W/U0XKUdznZckWKwE1EchaUBBDR93uVVTqOXK5N9+GQveKgx8tVBSQD4Sdq903V5rfU7KF2XQglqou0OePTxgUA1alKmWdh8DT0+dA6AXMSp+/aBKld1DlEgR4c2UZ9JxZLFvM2+nebqprUtAOCjx/k+umsS9roUbBZ3OyxszQ1qH6XU36j7NWkMUDUuqYNz74rkGATuUu9HjtL86Ak6y/L+koS9nUUdX63xLlf5Ook0QnUY28zjlvncok6dK1nbRRDOFfpu3hDh4qUBA/yhPnd1wt6Hl5/HxbIDb6soU0d7amT+ut7mADgjd3UYXn6I7gWzOEhVxmMAaELWrVIYkhEvRG3L+Q3x0oS9hrXPN9ASnNZhxWYkNcbkj0/Yi3mp9CSNpfwAs7AHzHIyohLVLdFrnX/CO2A+v5OEvbJatPaf2jtj4CxO4f/9WNqiqh21ETc/tNVLART1yy2XN0rYG88X+fqAMj7pHGB6d1b3uAkB5+0AECHOfRsazoTYObiUxt+tFrdK2Du+u4Rbu3ztOHNwm2FSCkDtJvYsxLkv2b2BDJQy46R4AvVFDek2K0wT9g4PlxgedI0hFpSYhXlbKibsOvfpT9gL4FoD5bVp9dJDLyPKg1VjJ156vepBTh4GxVmYMVSrk1EVI0AixzufKmMmxbIz511xUjdE7BwzkAIHkZA1PuNOyHbAeh6JqWWjrkfOmk31cSGq8XecjNsYXIXJuA1lHd5MDMYkskG1xLkYg6cxKiOTCKYAMWNmjBDP4Ch73p8bjyvEylAYk/Gyxf5QSOOwtUzMg1LYQLZlJaOxDCjnXwPTphDBg4ArSWKaC0Reo6Xh/jCLl1ETDFUiGEEJlDWJdHxZ3ZBSNiDVudhNxDHDONSxKiRH1w1BVduk7Jph4i+3rDrJTSZSpblLv01yRmYmdEflC3m6DtNM2kCJuB1DVd9ECtMz6ab+bag8PSYZ3LR84bbfO5aGyhBuL2JtEI4RtBtUdRodME+G7TGCxljg5IBC929RN8Q927V1Q1JKPtdfr4ZQUkOEFZxlQm8GgrkyLrgIulzvqSHucqcMp1JDwIlBHsjubWrIqXzhiU50ojul+ytZvKjIEDvUJQWzDaEyxL3UZtElndOMdFZtvSrHJ97pjm/nMR9vs5h1Bw1vWQ2pU90hGTbrXd/+Fk7h2ybCJ//XXdksFvOJrahCdFboQkS0RjzDpHhXCvxUmBXbQfP5APiGNgtZzpvzEdW2k/u167l2nc3oK/PyjIgTwCWbRTqfb2mzCA8X4GSzgCN1925cE9iWpdTKJZxtFgLEZLOwqYlncOWypvN9m8V4PsfwYAa/rqRJVgxMlsiqtHqfCZvFwezel1qqLlp27xyFuoBst0Xs7zr93nWIT0shIn7nob6Q3udUeDlxDVDSyFlE6WKuAKv08MdPngBd16oYXafeGTNIAppSbbkArtYqgq5S1awx7MVhwPvyMm93Tf5LEn0RYor+5PMz9eQYMtXWZrsFLRbAw/M2HoaogS4DKNGmVlUbSXyu6o7aQ8/JsCkxNuXvAFRp2FL7fAba9Wo/qVPXj0G9TNNoWwC8mJe1trk8PC/jcC7HM6Cy6AuReg3OV1WsTRunka9vL8YoVexOLMcGBn/8tMxrMQN7B7pMEc2fe4C48KBRcS9m+ERErhpmqkFcdJDOwZ2p0TUzLKiniKQYM/UESfeo2iAq+4LbJC/aJ1d7awcA4XPnSZVathupeaasz44r5k7NhrT56hm6yxFhXjGXP/ysIDivoTo5r32viyXrD/bkVVQtak64aw3gPOn3AAAgAElEQVSzTh8w2zG4SvdfXcsYRQ4ZH1hvel1SD4DMuyb/IYAmhFw9B+k7U4Gfm/chJZc1AFpmMi5laOp8i+oEmhB4nW/yrkglMdluxqW/vDYiGip/Ddw7d7vodIOchKhjCIrKxD7V62HzjgvfQsAP6NniGRgJNAbEtEYlXLzdvafj1GNCPjauOtBlQSnJcgZxDpwM43HhEZYelODeNLPylYLoGSSl0llcet3F14ThovQZO0b0BO8Y47IKUU+oU4NfX5ewl9czHKKw9IiOFGRmksXKY/fQAbFKw7BwcPWaVM/DuGAgeoQalHUDQ8T9ZRZ7CVuqWJEalWnf6yrqSEwkUokdAVojVRXbAegOS6jES+eK6FlfyxiFHWfxJJb122JDEiK0oRphmdCVgO6eMk/jyQjQhAqdMrG+V5fuvGvStoGocVsC6i2IM5+iKyt1oXZj2guRmIoygnbtp+jKcJakEebmN2ZuPSQ11euRmUVXGHKdz4IAzoxFDX1uCDmHRI2mjFVcxKE4Bx7KseOZh6/ym5h0wDttC0uPceXAA2vMSKWO6d+A2+m4hpUHGHAbh/6CQQmaGTtSiDVTi+C02JAEvw7p0w2T2I1nh/NLjCuX+7Uo4PHcYfeA4YaydsOS26TiFdx7OGMIA2MdG3JCcJ7oRCd63XR/JYtp0ldzGTpNjmt2BLMpyOQcGRTVKcNQMl1VqdmtClXWo4EcFGbn532luhbtenXXGaZj16ubbbvLRiUAoOfrm9kskp4f0/X5cq19mu0j/S79AKy34MruoBdU1CJNbBY8eO077YgWZZuNmEMl6YjAfXK1Z7NojKZQUdlsFvVvNAZgu2tdjvZbVaDH5u2BYhD2LkdaNihEouz+9I9bUBeFkL9rHwf2vspm4a46vS+JXDLQms2i6xzclYKl4tyDkx2BROA9K0DOkvuuO0TP4HWPs/+PMxJSvALCeDuiW1SgrIwRMaNlUkMmeVius1nM07lc5aLwa4Jfz9A9K+7u+dxpgFyiui7IcKEArjDfj4Y9hu4vs5iqIXUVpcr70ISib3fVMTN9+WuvRFVDg1YJDWjM4XyVg8IAAJdXpRBRdS0sF3oDTI1hRrxYatRkil4FALlYvTCEPIePA8AwQsxQ9ux5GQ9QCvrk0osBtFogPliV5ChAym3Q6vC8HVRd6cds+OTdoA+sQU+SsYuhL3R496yJJgUOqyHuqgP3oVVDemUejRchkZwty3qkeY/vrvLLErti4BRHBZzkNKDKXe0QLlKI+o3UkJiPHc88FlUBnnA+h3QOPqlH/edWqoaMgnHF6J4Zs0hqSBQ4CyRLasH8Y8b6yzPMn7ZqiF/HI9WQ9mVdXpOLZfvFpfa7Kfc8LAjrzzmsPq4YwpLR1cdUasjuIWP+zGFY0cHfX0b3ilnURYb2JIthUFDKOAI9v1yy2O5KSQGLDakfYmNGN5QscLXW3Tt7J3bKKHa92g0SwyIrNFPT65QsrOhNTc41Own1gwKEarRoAhyV7FKJeV2uISJwjt+cZFGlAHD1NYiKR8UlO8iuL8bQO5IsZp7RzTtgjOgWvnhDRMsIZOAcAHelxmT/ZIOzKHcuWSwluVBrqWHubiRZzJ55+KsxRwoDyMzvGLpXzOJ1U86gldLdE8kegvFWfdaUK4ElA+zbykh9KPtUHlOLm9BAsMl5RDl4722RFf7VkOzqxa8RmXc9BkpGb6aSQUsUk4Gx8tTwvqv6rseV6QZGyaaP9KzKLR/Re8Us6iJD02IrqlaMcO+9i/DR4yJFWFGbENuoUiYA6o6zkoL83jsJix9zFu7s509l93I+inGsYjPKtWS1hObGrIrmDmO2WdDFuZ7y+MnhCM+q/zoSlJJEYpJJBLI0hRgLIGrQcdKsayWLlBqwYWZRc082GcJ2vXqKptDrs6Xuco+fZAmvXctqHgn7YRG7ue8XlC+s4ek5PqLut09jF9Ex1XMTUfXwoyfteVHa8nwvKV/I3kGuimSBdSoQlXA43HnQVmH6vCvlC5v6q5YkyKlXTBadRuoeKF/ILyhfeG2RoSrDfU3OnpXlLMd7+A8ew308a8oXYlK+sL4//N4D8G5Q+4ut2Xi8ZHHyhpzoRCc6iu6HZEEA2CFeFX2NLy4a5GFM3H/87vvwX/tqRmDSfAbZbFTyyMFcosbMQe0CtpOF9x+V/n/wz+n5KchIzpcNFNZ9+ETDzEXKrpGAUjKvMmU9X2uND9uhH+vuF/7VH9gzFIZZyVnpL3sEy185RIznCsaZfecTnefnL+Aud4oz6MeMQ3CXW8SLJQIzeNcaEuO8ywZLAHDPtojzDrwbEBOOg3dDo2oEa//2IwiA3Te/nrNB5X6TEdHE1/HcwV8GuF3MlnUSNSLybixp6qr0euP5PK+HzVuYtM4IkoGzorqdhwD30XOsv/Xn0zwTXLyXXG8DqIx1TQ5OjezkQTCcMVbvl114PPMIc8L8Y20LC4fx3OV+/WW5f3uZss51vKs/vcIHf+VrmD8xQy0hzAjdVcRwVnkdemnGGGcABGATUNObeP4dy9uKrCoK6ZzDjDF/PGj2bgCP/+L3Y/NFwvJRuaPDitCty98VXgtCQHclGM7K+ozfPp4F3A9mcQzV4lqKFcjf6xT6+fiQyglWId11H1VUJwlpct2JITB/VunhMI6KuLQHchybtPx2Le5DMciZ2E1URLmxlB2gkIrz1AjTISZ1JzYlCqyNJOx5W7i6PgBgGPV69pm+T8+x9QJSjsZhIsZOYlzEEdwQ8wudDx2Cpt2v1wvQ0OwhFGOjvdMoIdlTcbxu17Uc4VMOzpBsUMoIapHavohmvQbAOwEHAY3JJZtVS8DtAgCXQ7xpo/PlISKOWiioLI/dV1MnEsPaDfBrgd8kb8cIUID+XcUi8aAQcDZvyKh2o8wQDP9nOSxqZsEABwIPAr8p96dbC8bnyNe2eXXV37F+w0UT9jZrdoN0ASc15EQnOtFR9OmRLKZkrk/zQBBV2Iy4L2lc20/lzQAK+7T6HLEYJW9a70KmfdZUtxGlOg9og4+Ytd1iUupj7zIBTm20rNYmB0Elj4pUgVG5iA9QvAjZqGc4l0n/NyzQu1+/JBVTnnQjrlpHFoild3Cty1JIE9vKq3qwqP1+MN6CAKkPpPZYU/Hyp+csiVnC3kMkTCUiuRqLJeytPR/X9XEsnSSLE53oREfR/ZYsmixN1XdXuYesmhgzcgg1oHkcaCyfmOwgFsSVAqssL4LUUsS0XyLA+7YAsU/fLZDMjKkzt4fJkLnLhjwaYjFGDoDMGBIrF1nHkIFyaHTJf6ltkdwep98zcPZeDZzpN2B/d8jtKQo1LBy4r9cdCF11bShyEKKIxoygjAIHaASwpQGorqbFgtL32phpOSmnEaN1OxOo07T92pdJOtyUAjB0pDQ7NoODQAbBOGfMrOgO67lhzlnaCHPGuGJwT3qNWMaUDZxJkjJ0Zpx3GFYE16c+Ok3Hz4EbpCQPhgS150P/zlkcnd0PMyZTMZozQbyiSHkXc3LjYUUYzgG/qQyWy7IGer12WYW5MXC+sahTIvoTAM+hb9MoIt8iovcA/M8A/jyAPwHwsyLyyS36bqTLjEkAEkingGNA+6Adizato07rl7eECHNmFoixwKUTs6hLxwlThmnXsG2ZVchMq78xO/Ayd648dB3nF4Sj5Beyy8zCAZyg2WOVgJYoowSnOA6ZuwadxzMPmTtNbJvaD51j8wD0hZmCduoHGNBQZxqBECRXBMu1P0eXQ9yb5DcdF3tnXUk8LVKdY0EHX7Uz4CpmYS+cY8E4LyK6tUsS8fP4heBYEOaUoyyJKXkYKI8nLByGJcM5QZhRU4wnzO2a6UVNkZsydxjPCOPWxpCYxYiGWbi+HWOcQ70hg36a1yJXWGu8IYRxQamgkMvP/rAijGeC8bJiFmcoyDJJXpdExhiG8+o9OD73zWtRQ/6SiHxTRL6V/v5FAL8rIt8A8Lvp7xOd6ESfcroLNeRnAPxk+v7rAP5XAH/zpp2I4fBtp51UB8/GsTGo228ShyF9n+JIqNQfrfrgTcJpjIrl4HXfuhiTy7SOk6AQge1ODXfWvt3prmwIzHQtf9mXQC/bLIYItizO26HgEWKEv+KmvKGWqRNgO4JCAG0lj4G2o8ajTNygrvfgOv381Rau11qnzqpuHTjH1gsAZk+H/YpkO4tnSO7C0cHtAngbclIXrUgWmxoWtQvVXRW3Ze4/uUUBgK+pdcqp1imtt5g9SUlqqopk7qiKZKJlDKPLGAUKUXf2hcClMbtd0DU8otaprZt7tsXyw1XBWaSKZLPnEX5bBZIdWZGse56e1UlFsu4KqdbpkF2nq488QIzF4ypw7EpxFtdWJNtEDM/rADccTa/KLATAPyQiAfA/iMivAPiSiHw3/f4+gC/duveTzeJkszjZLD4bNgsAPyEi3yGiLwL4HSL6583ARCQxkj0iol8A8AsAsMDqFYdxohOd6K7plZiFiHwnfT4iot8E8GMAPiCir4jId4noKwAeXXPurwD4FQB4wO+93AM8RXCWjtLvdSIYPhrBqVWiEsIwVOhDAIdyQh6L4KQhloSyduygxky9bgRMBIyG2CzHUogqBth4rIhNSgbD474a8joQnLwLbWVtKlkFrUq525KK9UPM6e+sGrmO23otKgqPVeEfU0fGeCMEZ1YhLIp4jCmhb0JXjkka8VQhIgXcaxEgXhQpBEFzU4gr5/tNuB2Cc4OcZ4KCGlz9JkKqnCyqBhV4NwUCpz7r3d0qxMOh5O10aR4TBKffCLorgt9WyN+o7aaGcHW7KbwagvPWzIKIzgCwiDxP3/8KgP8KwG8B+HkAv5Q+/96t+rcEvFZkx3I1DtDs0kgybeeBIeXErCIMaTZrPgEArihoskzyWa+Zo8LZDNwHhGUSy5+wZm9CsfRL50EyhyxmJWfmGCBni2zbsOjR8XyW4dDGWGTGWaT3VwwxT8IQMVx0+pA9TerAaga37iGOwX1JjEshIC46fai37YsfF77xhvjUxtsRMeVWOHQOAPhPdD2Gh11O1KJjr70X2jYsGX7L8J5y8lcKAPcM74oaYvklSATjWZdftJypiSlBrve9IXW72wV0uwG7d3QA2RsyMMYF7ashXF5At9PjeBRsH3JOm0+RMZ45DEvK9ocwY/QXDNerN2RWJdbJ3pCdXqy/SN6rZwtsvkhZfQ0zVdPCjBqvA/fKLKyfsAAoEii03hu/LXEzxrTFEaLTc4UoQ8I3X2CsvyJNmPy4ArpLulYN6S7bccXDKT8P0qtIFl8C8JtJL/cA/o6I/H0i+j0Av0FEfw3AnwL42Vv1/iJ0X5WEpKkYdhNEYC1tcGlrkJFWRaq+1k0oJ/NJp9dCi0j528IIojQlCylIkS7s6Q8RJLjbvBN1jEodAl4JdJruvmqzOVT3o0nsYr+hIAlfeQ6Cxkhon/VuWSq5ARxQSTdSzr8hkvTQOPK16zHVAtpkjPY7ReUT2TyS51CqlCHI4RwWVR97bel7bQS4bR4Lo1szCxH5IwB/8UD7xwD+8k36OlRFXY2YY6mi/sGH5RrbXXkgd73mVlhvtRALAMSI+MGHkBBBm032gtT5LvwnlzZgwDH8JlUtv0qGz84rnqOuFA4gfvQY5Dhn4Y79AHr2PGe4snwUFj0KVJZ5ooyjQIzZmAkilSiqwsj+ecq4tRnU02BZm8xz8+hxVh3ykrGDrzJOSd/DsQNi0E/g4DkAEJ9rOr/VH120L8+Bwsgrg3PfoDDybDdmZpELI3/45OgiQ7LZ4MKMoHWN2FcojNxdDm1h5I+e3bzI0JPn+FL3tdzHqxdGTv1PCyN/8AzTIkP++edvVhj5qt8rMvRnz0/lC090ohO9Zrq/cG9usz7lehoxgBbzkmNiPtMcjfNZY4iksxXQD5pRyo6tEvrKRZJCLLflag4aQt4NeJ1ySQAlp2TnwednWgPDKnldriHnK/ClZjgyiXD8/EXGUeRrdpx3XV4PpVhOiAgrzZ1hEsX4YAHejWqzGELegXg9IK46uC+8ezAhcJzgLNSmMzbJgafnAMhlDfsvT8ZNlA2bNoZx6eC2ms8iu04FJfO0qRuxfFrxHlsH/XwvGzKnSYHrdu4D+JPn2HxFs5CZDYVHUTvFAZuF2QC0yvgCFLRehl8n21IQhKVDmBHmnyQ36KLDeHYczmI803VbfNvj6Q8tMH86y2MIM6C7mmc3po5V18WKDBnOQiupI7szVx8WO5fZjsQBYfXeHs7i+deX2HyesXhc7vk4J3QbKTaLKiGv6xeKs6jqhoQ/OR7CeX+ZxZRqhb9OG2Z6cQgAkmhIlMsFCLBf4RwoqcgkpUxbqxqSl9HsE43eLTmJLlVqB6GoH3Ytd7krfeSUeJRRMBRE/wYUzrzuGy8E70bVf7djqrJd2RGG+PJSA0BJClyVPzx0DoCsRvknu+Za4igzYcNCuJRXgrcDaEzMJsQsvk/VEIoCdzVk/dk8C3XZgWlS4LqdxgBZbzF7WkR9/SKpZmirhkTPhaH0UUsDEkCjz/o9DxEcBJwMqADgH1/BXWnCXnguFc1RVKdcCuCqJD9affgQ3WUCjDlGWDC6q7ZMII2S0vOZ2sE5xwYIGcBlCXdix9n7EzvC/NFaEwFf7fLzv/xoDgoes0qVEFYDqKSyhnURoW49gncB8zokYLKhvYjuL7OImlz3oE2mrnsBJCbgGkNkU9Yw7GtbufzgGPQmzhTolRPVAEUXzkhELi9kVRjXMmgBKIyhc029TgCAL7o0tmPJRh31JQOrjQLQF4K2Y04Um1P5DwME7qXlEQGzIXh19ValEvfOQfE2hYXPyWB07MVWYUwjzHW3lypGx9yEdf3O0okWmS6I1nROVSpxr/Rg3T4E0HaXmVVmBCEiegK54jK1cWZQFgNx4fKLyjY21n6Ei+EvLmZa4jCVZeQ6lqgqmQggV0ejyw7jkjUmBmprCDMGBdeUCeRBDaom/ZhERDF5ixba7teVjah6bMPZTKWdqnbJuGKMywIIA9RTJPkRoIZZiOvgOs72Eb3G8VbP+8ssXkShYCcoqsdCJjU2JShc2z6nRCaOV/U+qDIwZs9IzZRSOnsByrXGUdWcseoPavwzqSTXL40RGE31CM24uNe/bVfnIej3UbQ9T0y0nuhu2JMSqPamAKqGpTFnr8ChcwDEXKB3aMZFzBDbfXy1NgkjkZcntYkvRrwC7xbdwSb3gTZ9gdOPhyULjEmyGAN4l8o2WO3ZKFr4JwtwhuwsVdS5yujlgawnUohwqS9jjrzt05pHwIdWshhaySIHzu0G+KuY1RvxBBoFft3iVTioZBG9BcMVF3PtsTApJ6ZsZAAggeCuerBn8LbPG5O/DJh5ytcGANcTeBdxqIq636hk4Sppgm7gCbo/zOKaQcuBFz1nvAbybkcJrARA3YtHSxapDys0bJb+MFQMycAzcjPJYpKsRSrJgrbVjQzJqi+cvR7CqToXszKK7EUR3TnvULJoMj4T5QfcOFac664rUnZ5ANpG7cMPqGQVPWeAUK6dcVPJYp48VUmCoDHBzU2grGwrOYkMlxc4zB2ceRuYsrqSPRS3lSxWDA6p3StUnKStKWqShY0xpGMoavu4MDWkMLwoBv2+RrI4c+jPOYO3tF+G85S9IVnaAhD9q0kWJ2/IiU50oqPo/kgWU5JWbK1rWTSVxcZRxa1xVI+IHbPdtarIpA/aJIOkiPqvza9vEkKqt0GpBigA7Wu7VVUlRWlKPyi0PFcySxGMl9tyXlWYpiTpjcUHTqTXDzEfy+tU62QY0ADPRFTFeXoJmWAmwK4xFErfA+z0OC7epOk5tl4A4D5Zt6qX47zDmkTgrtIc+hGUkaWSbC+uQZvab6p2pS5ToBo/fp5xC3QNzoIqnIX/ZJM6MLEhSWRTE0lXJDgeYlYnrFq6jinC7bT8otU0dY+fgS+Pw1nwZerr6SWWHzyEu0rHesVZ8HpAVxs48/pYMFwyzBrOIh3r0liaEo6e4T98voezWK5m8JtZ47WxjOlm4KwlB7ce9nAWnw0D5yShjYnPEqFMwXTvrlOdvKtjcSm7VxvXaV3ecDnXQw0YY2n+LcX/dqdw7ypsHJ0HLRatGrLeat1UK7ScHqZ4sXyhgZMmBs64ULg3JzVExeEIgVO7DJUXNM478MPzYnexOXU+qxUAQOutqiHDWNSNA+doe0qH/+6q0bVrA2cW12dObQG7Mbs8SVCygtsDmtQ/iVpoOK+HqRxyUTKgT9SQup2GAAIwvLvU61cGztBx8bLUaoiF0w8Rru9AUTAufbYJqFrCiDNG8S4+aNWQdWWzyGpI8lAkNcSLYPPlObrnRUUKc4a/8gcNnNkbYiHqQFJDtH3xuMyBBzOaMkAPVA15ustMePPlBTbvOiyelrULHcHvYs7TWhs43W4Otw2NGhL/3+OVi3vBLCRGyNDnKucSBTFVZjJkodURoflca4akOiKYR6AfIMSIjwtq0n3h81rhfD4DNroj0WqZLlgZLodR1bsUW5IDyR59DMyVoZRrzYGH5/pSWmi3c4gPVlp7FMjFlAOzputHMYZFcmXHixGREuZiVClDAEVmAnBfeFdrksw7rW0yLzsZPzxHeO/8YAHjGq/g5x3iwoN2IT/shmbM5yQ7gDdDZ+fAaPut62UC6vbjIUlGJnWQMnT3bFuYc00Xq1znxMLi+y+cZdxCXeBYCMVtOGNwH+FnPseU5DomfXteXUMk9xUJ49KB+4iwIMw/2FW/qiRqUsH2yysM5ww3aAaw7rJsQHGm3guLDRnO1JOy4ncau0GYMUIHUGT0dd2QtCSWX8K8IjwpjFwbKzPtIq6+b47YEbqHPp/TnzH6h5QlNR0XIV7ZdSlfBwCGrxC6y0lh5ANrdh3dC2ZxkF5kpY21N6RElx6sLRKqdldcrnmHNQllGHUHrksKJpG9vpZmhQ7FeBmjWs/rOiPQaMQXRoVOIkFzgJepCSmSlZjKJ1SNoGFs6pIAKr00dUkArU0yhKJiIWEfKtdzU/JPBLwb95jQ9F54T+W46jfuQ17HKdXrYVd0267MQVwZl0GWAXCKWEWQDIWuI0BjJQXFcX+XrKuog6kpzCQdg6LLbX4bVPxP5xjDUhenei+MuQkj1yHpriL8Ol1nELhURb0dR8KWvKSKunl8puQ3HWQQuG3Mkt/sStPtza5q78b1VdSFWQsQ1TErN4g6PRk4T3SiEx1FJ2ZxohOd6Ci6v2rI6yAzkmavA2PPdH7jPmn/k6vfDlTyviuSyvZwbSEj5j1ZUxwBsUDNgYTreMWluRXxZB0jJfEeuV3qNb5DqosY1VgNAkrOCVtyQlO06E2QFXwSf7ydoTm/mDJuRfeXWRwCi2QXZMmrWefaPJin03J0Tih7AUzn7rzaE6ydKLsV62uJYz3WrPeONW5gUrXMcl/WVOfItPyYQHpHUhKaHEqe8npK59UFZl4OdpDOq+vtBTk+AbXcx47BscRrSIwK9EpVrPI8EkQ6zv3e2k/zY45LpxmdmPbyabre75UbmK6HzbvO95kT4qR+8nme4BiQrcO4tDILyVjr6KUGTuufHWFccb62jkONpry28WgOTtdHjHMCL8zTowZPqrKmjUtGdISZJwxnnG0PZuAEcJSBM0xsFvP54VdyXDGiB0hKiYL+jDFcEPoqMfBwRk0ynNrAOa5SiYK3lIPzzqipE5L+zt/rWiBVfZDm5bG4BasrMiV7+QyDMfOKmLR6IK5gFpprcarZYVgCZvXrW1k8G3eq11FTXdfDanoAavS0dstHEa0WSed1jMbEfGEWe8yoqksCAJzGJa7UKDEDp43N0JmWWyMs3d4uPs1iNS4ZPOpxzW+s8zpUWrFeD5t3XaMkVsxCiLLh1Nqdo+zyq2t42HfgsGXfOcnHDktuEhpr1GlpCwvNvCXMCHNCSIyGhFLfBJNM9TiNvRjOCS5lQA9zjTql2CbGjbluSPo7jZVLUfc8pkM0LrRfHhnM5pEhDBeAX1cej/MJo5/VzAKgkbS2SKKbMIuTzeJEJzrRUXRiFic60YmOonurhsgkzLkuOpQLCAGliFBPhwsRWREiINsgAEU35uOg4j31Q0mGk/rM39O1aBgVvBUKXoO3g55bBbO5Z9sXFgHKBYAAYBjzjbBiP3S1LQWN+iGDxaTvQest/LwrId+AhrdXRYyAlG9CEix7KPgP8Vyg1xWUnaKge7Lbw1nsFQAaOrirQZPSVL9xH0BX2xYmbXNPkb22DgAwq8LZ4y6pP3ECdd5psR3qR8w/SejWKhFNY7Po9ve+Gmfheq/3JZ8g8J3LbbNVB+4deBS4FaN7lqJcpUSJWrJcHhxiR3C7iNUHAfOnlodCgVB+HdFtJghOVLaKa3AW3ZMdDtFixtpvhaE4eySg4LD6uNyv4fn1OIvdljF/JhgqtYUPwzoO0r1lFlMjG1HKoBzjcQZOn3Rn7wqTYAKiRYXe0sCZcnPmjFqDojml84rdN1vAXRs4F74BZYFTBGVlnSdJ+SkqyLauTYnajYs0hrVX5OwbNHCOSwceCyqzTtjirLqYI/BA4LG7cwPnuHLZWNmfKWALACioPYRDSV4znDmEGeDX7o0YOIczTtXMOHszhiXdyMDZP1CP11ghOD8TBs4parCJ0TgGwTmOmrA3xBITEjkFl/CtEZyKDJUcXEVj0J17DACXfBJ3jeCkXYvMBEX1etTMoh/Vvmv1PABwP0IiZwSnwdQtk/kbR3CahJZeRAoC9lRS+5GiJGkId4/g3ASAVAoQBlyuBSKgwKBQJAtN1U/g/s0gOLt1h+hVsrAXnOLNEJxhxuiuZJL9/ODlDtL9ZRYvirO/iev0gNsUEm8tWWgJwxJZiV3i5BN8xV1LFnJA5JZu33UqXkX97Dodk+s0Z9pO65PUvDcpWcS5268l4tWDxVVwmBvUQ3LnrtM5Y1wynIsIHcFZ8Jjfd52GRcpCRXgzrtPlq7tOw6TE1I0AACAASURBVIIw9rd3nZ4MnCc60YmOonslWVi+CWLaE32tfof0fVOS8Do1RIaUdm6o+OHQ52NuHUjWD6X4UOqHdykVHZFGxOINBJJthzajFRRwVbeZeM39CLHkuWMEnGQDp9k9KBmE36gasvFZTaDAOZBMuBg4OVUT520Pv0kSyV2pISniU8sdAl2VJ4IHzSliJQejJ7DXRMTdVXf3asil16jTy1Ayt3l/IzUEYMwuY05LCAD8mVBDpnRInXjh4aT6O1WgLGJdnUMgrWPJOc3rUEODPSs4i6mUWbz9FY4jomZNNO9ki1YVz5pDI3IRTZ1WiqekrGYbh3PIsv8bpJL+Ls1HdNy2cQhTQcneNVHJhRFmxchKAuwlkyGkFHpvYFyw9dH1qlWvm1Ds0vzqQOMbnP/pYRY3LR34onPkBux0Sskb05ZP1E+KOKiv3xk1yYQJxNJeP6bx1qUEIpRRTEoJ2nFvi7QkY0q+G0oYNYnCrZuC1Xc6Dh0DV4mA69KLdflBq/vxpsYlibM2hatvQvacVnUMb7IFn2wWJzrRiY6i+ytZTL0hzpX4kGO9ISEWvAU0a9Ir4yxmnYrFlsdw0BgP6b26+dhiBO4YZzH3beIaTt6QCk/hRBAXHZg5ez1o0HoftmsGq67e+TfuDQmLYrMI8xTLk9LX1ynxeWTQ7g3gLJYOw5mD6yP6c26KPscZJReqNg1nrJXWF/4N4SwcolNpxtSIm3pDhgcEDpOYlZM35EQnOtHrpnslWfByAUDh1TKxqJP3kHGEe+9dxE+eZGg39b2Cr/q+OSdDtMcxeyjonQcZ2CUfaa5LK65D63VTMT1utiDL4F1di1cLIEopHDQGMAC6XKux80zzfPK3H2FasZyr7NvS9+Cqsrn/JNXKTDlHKQat0O4YMdVBAaDlEoc+58zM800GQlcbgmMEr33rvekHnaOl/zOJJUW3zv74UalgbjQxLs4sCfKkwjxCULj69HwA/PQyr4fNe759J3tTOqdGWIqGDalsQlCj5/IPHrXjmVz/UG6JXB0tpGTMT56Xac1nKiUm6P8yfA6LTrNuL1ZdzvpNFtYfQpN02Kqyf+7/vgJtUvgos0Y81/VlgVL8ye5jVc29Ge+zq705AIBbvwOQGlQNY3P+B1cI53MtlWlrMPOa/d3+riTN3RfP4K/Gpu2PN8fbgu4Vsygp9w8YcFJpgINFhw5RbB82bYttxa7bUJQMYLL+yUotJrQh8Aa8IenaRrV4WtpEvQr1eKOo10Mm6xPegoEzSjuHpiRl+/3WRr0bjQfZCNiM59C47JjxzRheEQFwetZeYS1I5NbP5v1gFgSAXc7oDQDunYdN6UGraxE+eAT/9R8oFdGXC8jVGrRcgK42pcv5DLLZaJX1VKw4fvBh/l1+5IcAALzRALDxnSV4O+RYie7bH0NWCyBEcJJMZDHX5DHLWT7OfXKF8O4ZnGO9CY+fAAB23/x6LiBsFBYuIxVnT4ecn4F3AcND7W/1RxcAtJq5f7JDWHi4zZBtC+6TNcK7K83CPfHJx7lv8iF0T7SKF+/GnMX70DkAVKIA8OzHvlYS1SayallG/YX66/0mNr/5rZbx491EshBgeDjL62HztkAsYJL8Bmja3S5i/v4lPvm3vpraEkahF4xVPouYckXkrFYA3FY9Kq4X9BeEiz/7XB5T/8AhzAmrR2Oe1+4Bw++03/mzCq9g10zZvXcPdLzv/sst/uzfu8DyI8nHhQUweyroH5SxufS4Wj6LMNdxaXV1pLgP4OEfv5fnkKHYBPRnhDgDlh9F+K1e6/1/c4X190WsvnuRrzOcAd1lWcdQSukADHTP5xjK4Rj+5fGWiPvBLA7RC7N7V7tgjHs7FICS1TuEg33lIKxU7IcGFTGbor7TfkU0BmQIJfX/GDTa0qJVYwEMTetocF+lagsxG9+0FqiCfgpoTOuecsocnnewtMsywj54iqmxQnEfFIiUPnPb9BxbL+hLyjWzYIIza6i9gDsdLw8CZ9gMUeARDbG4Pau15L7MgVP1eIqUDZlTqtvdTjOZu769j/nvLBwVDIRJWa4XcEhgqWSk1LEJXK/p/G1cfkOIXuB6NWT6TSu52dwBIPp0n4cAv1GmpMeJzmtbCtfnsQpAI+X+KCJHfUaLdRzKWts1hYBuDYRA8JsSn+LXgL8i+LLHQkjbrXxhHVWqv7WFh07ZvU90ohO9djoxixOd6ERH0f1VQ5gUyXeIaqgzURGl7fMYVF1Vf7SBbk/zeFaRhjeFnNt4cp81zLbJCo5c0cus5SCFHWt7BeN2JW/lnVElptbXksrxYdmvrY2C2QrKvCR90WhN5Dm8tvGbuiHlbx1bUUPEniNSUb+pGm7n36CS+HXjyNe2Pqs2ayep2qhcv7axlDlQ8QS5a8ZX9bHXRihZyV8T3V9m8SKqwUipEtdeCn6XQFrOHXwYiuuKIUSQzkESIMj6bT4BgAmSwtNzjU+v33NB4lwPtOSMyGHNHecEtLJjhOQCc3E/y5N4ynEnMsQMtmJrc7zHFGPnmgS6PEsh61EKeOrAOXm9oMbMbKNIZMY9eyjHBYGDjtkClcjrAeIjkPRkWzkRPdYAcDbXOqX91MA5bfedy+MYq/GMcyoAMzPmUcUURFICHTWA5hePNaFN7CjXSB2XhGFFEKf98liPr10DKwEYO4dxCYyLclxYANxrglwjdjrOMLfj0NgUrF9bT2GAbKykiW7iTMdosU3jChjPRNsSjSu1meRxVyWAwWonOiXsPdGJTnSndH8lC2IQvcAnnHZCcaySRQW1Bh2vhohLO3jajcrOoyn/KX1H/jxsvZ9SFslR72ZFzRFX1CfxBPFJlK8qlsfOku1wEU89t6L0XdBE9cgivSu7XnSA+GpuERCvlnaxor/mDYmpJombrMcNqagW9qlSACoXo/WfvQteITq6npQh4aY2RX/78TTjqtQI+7tRAShpS5WqRKFVmXTs+hk95WLL8ZrxqRoo7flcVCGKeK3iwEmyONGJTnQU3V/JAkhGzvS9hvV2vuSf9FoNTLxrw21nnYKx7HPSRwY5JQNmWGkgmAGGhClJFygSgCNgroCscGaJbmcIZx14rQozJef6eO7KjlWlYjMQE48OYaHtbqsFcABglaSYcengtkFtEFURInelkN+wYPhJGbtx6TAuq8QmgwZfeV9S0h06B0gQbigwybAE+ZhFq6/3D60Pzro7CeA3DBqRcQDBsCiiFbUcF9sAoPq937RtRnW73xC6Jx36i/ZYtwXCEgVnkewB9U4fO7Wv8A7oL0ohIoqE/oIwLimv2e4BYfcuIWwI4xKo856Ue5VAWe/q38OFx+7zATxYoSIgLNWS2b9T1tFtbc4JvLWKoEgZayOpGNLwUWWzCOX7cEEIc4AHzn3s3hPMvrRGvzkv9+rhiNj5jLMIi+peOkGYM4Z3Crgi3oAD3G9mUVMdb1ADrQymXMPAiTR2YRzL56QPlzJT0aAlDt1aMz85bw+TqkANnDcCtOtb++quh7vqQAnladfylwFuKMld05ecP9HtQn77eBT4LTe5EQztqICvmBMEA5r9iYe4h8akUbRSmPVxNWjbbtQoUewjOK3dSiLMLmMBBqWxc1q2WHlD/FYykhBIKMmdNKhVzvEdgN9U/aaX0G8lIzVdfxjB6XpFcPJ2wOy5Ad7SMalygwGLwtbUuvIS+I3AbaEG2VkR7XkUzC6TgTkxt/lTld/9TuA2EwRn6jsz0nTvuucj5o+XmD1Na7QFhp4we4omb4TbAYhANCPt1umzIIDVeLXxAjp+TnucfhfEGTB/WhCc80881ucrLJ5Wz0bv0V1S9r7UVdpIgO454HaVEfwzUQpA4l7tECMaQ34paXCQcdTPnP1bdGM5AsFJgz5t3DtwH0owUtCs3RgLOhPDeDSC0+0iOF3D7BQUBcFSwm1LejQaIrynXOMjn78dII51XPae9aO+8FXquUyvAcHZvNRIen32XuSTlFmsAyi9NBQUpel2sTA9m595JPrYtINvhuC0F8nCxN2QLP/WXbL813YAt9PjeBSEjuFTCjrLeqWoxtQ241shOLvnQLdOEsOoEkG3lsYLx70mRwqG4ExMrric9bhuXWcPL67T6PYRnN0l0D1hzEpsHMZA6C6Lq5ZruDdeDcF5f5nFiwyczMXA6Z0aNp1rDZwvc52ayzCpIeYKNXFfVZtk4ByLyiMxHuU6rV2Bpo7EGSPMijSR8zIwISy5MXDGGYNGzS1hrkcAILt2VQ/U6LW5Tqv0euIqd57VzMiqB2e1imJa6lHKy2tBdbGta2qqXq03HuM6NfXDXKexV3XBHvhozKIycIoTxF7doOOZrjMAUND4j3FJ+Rrj4nau0+EMGXId5jomHjROw8h5ZWoxqUrjojCM2kBpKp8aONO8HCF67LlOhzNgeBDhL8s9H88EEMoGzjhhFifX6YlOdKI7p/srWbwsT+YLwodF5Pjcghb6K8j5HnNfFq586Fovodp7W/JfllyYJCVoDJJEa0FxAwq03gdxc11KuSHvFMVZjz0kwBXK2PJaVfYCDXBL485qSPkNUtYkZ6e+qcvSzs+frRpSH2fjyp/p2Kz6her342/rQWo89XJ9O8n+HPIYqBxn47OxMyQDx/aue2ju6Tna+/0Vn5n7yyyA65PfxhK6TkFzXFAo5QEaW8XLbBYhADFFnQ4BZIa2GDVJbJ3nIcQbRZ1ObRZ1ChnqY/6bhgjuNdWdJablqopYY+CMGs1Kd2Wz2O7bLExWlaSn+416TLiP2cFkNgseDtssXB+zzSIzupvaLJJhL9sPbJx2uew9kIM2i3Ej4J31IfA7FdfNBgDczmbh14Df2DpoQly/KZgJoNgszMNhUadTm4VP/as3pDBVCnIw6rR7zuiqfDkkGoVqNguaGDA/9TYLIgZ1HlI/OM5puO8DDb4PKbMVgH1pIoq+yGcJXxsC5PKqFExOxtDaYMp1iDqS12EI+aWUxRzSOfNAKXkHPLvUF9rsGNud2itSfg27Fu9KMeK8aQQGJW8Fb0dIMP05wqc4FKlyWopTWLd4KSnz09v5ssLLAErx5WFsijBPzwGQCzL7dSilAwEo5Lz16tCo3hq3i9m7oCHqLTOgarekKtzfvCTuWV/qg0yLL1ft3AfQeovuMoXRd8Xu43ZFsogVVNoWnROjoGC7tUkWGmLvqXiE5le9ruEQETuGr+qG1MWY63Vzz7ZYfHyG+dOYxxBmgu5K4PrKwDlCXeC+uI0tOzjFUiXM1lOohKuLE8w3EbEjzJ4MeaNbPPYQZiwel/s1XhG6jRRvSJWD0/WCbhMxPK/d6zia7gWzOEh1gBiwr5bkLS3V6rA6IUjPSUh1SQMXl2ndR+1pcawVyWsm5FiZxRiVSSCJzWNoYoRk1MJDYswjmJcllsrnJoVEAapixnkH5uQ2jdIYXqVzKjlxiX+QLhls+2GvmI/UKf8BHZeIFk+qiiJNz6nHzbvQiq6MHOthyEzb2ZQBlLlQlFTXIjHEzHRicdHWXW/Lg8+TDGh1Ow0B6IdyXesqpTcsKkXa9Wcl3oMi4LYxMTDO8Si66wowo8JY1gN8ujZ3DrwubxKlYlXGSPOL0w/qMt7ZmhCE1N1bJ841hmXSGaBJfqNL0o0Vd7f7PAna81cjYsfg9ZAxRuqqluaF76LA7SQbOGvXqF9HuG1opI2bZCA7GThPdKITHUX3V7KoDYBTMlsEoBJAiCBXZbk6Jk9nnWkLULdrXcwmpMxOIlnloBuEqFNlGM0SBjj3QTHmEG5FLWkBYwOBUZTyvZKCyKSlO6T6egLOUpS5QgOzqhJRqvgP6E5PRaKobS5W0QsAcEDKOIoqiULHI5BKtTARgUY1Cup3lX44luxe1k5Macd/NQsnV8ZICjous0kYUUDKf0n5HEhSyUKRJLhaG37JOpnNg6vxB6bGuCuvscrcSbI40YlOdBS9lFkQ0a8S0SMi+v2q7T0i+h0i+oP0+W5qJyL6W0T0h0T0T4joR48eyVSKSBmz5VBG70NeEvOQ3LAMXza8mSSTv6e+zBtSu1CPIXO9HnK/TvqiprxgTJ4YtQFQiLrzpb70+w1M2DelyRSpHq+NIbnkaDJHknrMKiXRGJOXR/K/G69lNRYrL1hKC0qTu7SM2caIxl2thYIkS25q+HzN2cPNjpPHW3ltBO0a2zjD/j9bp+tKJB7qN5d7bD4nbtxb0jFqyK8B+G8B/O2q7RcB/K6I/BIR/WL6+28C+CkA30j/fhzAL6fPmxNTK/abQXNM9RhsoQyhOeva87uZLrJ9ApAqNkRSdm4MahyNZ3NQX7Jgu61m/YZ3gFmlmcGLOWTe5etRFMjZstzQnXpFxvN5SdibqK75YAFhAMBjxHjWAQLMUuxGWHq4qwHinVrnLVlPCDrGi1VTERxAU/EMAByRVgLbDaX62YFzAGhdD2gW7gzLBoAa7m3Jb1YMv/n/23u7UNuW7DzsG1U151x/e+/zd8/tvt1qSbY7sdx2rGBZIg4CoZCAQ0DkJcQPISR2lAebvPkhIeCAMeQhPxACAYUYxeDY6C3CGAWESewHW44cTBQJtd3pTt/u293n3PO7914/c86qGnkYNapqrr3OOfvse8/tfVtrwDlr7Zo/VbPWnDWrxvjG90UREFbkJYvjUx5C7a8Cc/cLV1KuVUWM5jkqta96VpebMcCOHv2dpKLelMhBqEiG1KlZR0NsB1CQZdM4N+iyQ7aoiuUksG4Gv7IwAyO2NEFG7kdD/Eq2LTYLbB6YjBgNrSR8hZYmyl9m1OhE2q+jNHhJW3Jy3Fj6TsOsICC2LUJr0LnCiL55YLF9WBz7gJynWSenLRdUK4CkDL+nSNZcf2n9xsGCmf8+Ef3EXvEvAfiF9P1/BvC/QwaLXwLwN1hc7P+IiO4Q0ReZ+fvXbtGrrB5dK5xFZvcOJWoh5YK7oLiHv0iWE8RClIiKsnu76kHZmwUQM+A9qOKlgPcSjtTwrIYHhyARFiDP38xQxjhh907fo2AWJnWN8kZGYvfOXu0obTf9eCUMaqr6AQCjl6r1M33fP0b7C0Dylk9DpznKkEBU1pCs/4dYwqSMcg16qIYpo4Qvc3REow+9L7iPvbdnXS5hbQ+7U19ICZ2CY4F7p7uZDTLgS/Ad4kOItswgKKSwK0qI0vYJlzJGRG/gtmWwj5rTowOp4lb6Ec2mJNWZIP/cjlGDoIxP/dAUn8VEWDl95HCpqb47iWSYkeG2Ib+Emg1jXFPOS5HrwhtDp1RpFn4W7N7vVwPADwC8n75/CcB3qv2+m8qOdrSjfc7tE0dDmJmJ3n5FRES/DOCXAWBGy0M7THEWk+8lkQzGCM4iYS1So1ALJquwcY1cUzwDpbr074xzIBIAVEROUGNLIqPYuCJN51wWMU7XBQAIrS2gJOXlbGxJCAsxT70pRIROEJwKuuLGyNsss2lpOjUl6bzXCy/Lvi7vV4sw7x8j3ah8DDbregCYZp2mt3VOZoqck8IUY1F75pGXIylpTsGiraJf3aRvJlaXGwI1LieBhbwMIYS2YFDqmUVm5TIGxsl0388Jtk91W5akrxmhacsyyy8MzJAYteKBZYj2wcLk/huXlAFYugypgVZAWoZEqkSGKGuMCO9EOv6itEUjJHrfhtbA9DHzgoxLwrgC3K7U42eC4j00swid9Efdrs8ikewREX0RANJnEqHERwB+rNrvy6nsijHzrzDzzzDzz7Q0u2Ezjna0o31WdtOZxa8D+PcB/Jfp83+tyv8SEf1tiGPz5XX8FRwjeBwyyxRHBl8K4D2+EFYRlTMkJ/Bl3goYnwDwOIKcm8gTmi++Lz6M+SyPzKbrSp26tk5reF62gofQNeSTZ7BzETnWusx8Dj5bIc5cli90APzdBZz6GnQmYKgsWav1eGa03vefGAIDsB+L/CE392Cfr8HzFrQdwHN5JZlnFwCfYHhvCbubOnVreUQAaK1JjFtNYdraur1j5G8VKY4NTdihJ23WYzqSNbkp6EflFLXnA8zuAIaY5pl4h7zUuXuvzc66fYlEzcGQuiJaovyWDFmykCcOvFrKUC0GcXzaJEl48rK0jW0DNsiw7ssvdxhOCbYH/BzoXprJuYmRfRP9qVy7GRYYV4UJK7Zp1uCnM4v6euQTACjLGqq5g0LFjMsPbJoJtdmXMS4J4xmLQzPZeIIyw871pG0roD03GAux1qT/3mRvHCyI6G9BnJkPiOi7AP4KZJD4NSL68wC+DeDfSbv/XQD/JoBvANgA+A+u35Q3WO0AmzBlVQljk/1jFQK9ukrKiWS+YqSqEsQm55zUlRK5MklOAoPtEfWY8fXygvvJXTlxKlTtSUlr+qnbaQxTecR07loeEUhOVC+K5OqYM2Oc7JOdjimkafv4yuQuNbelg/vZPuR+3LdJf6TrrqUSJ+rvFbALMCKLGGIhv6mSuvaBT/umEoe2Z0THJScIiTGKTS6zA8PuCHaQZKuJPGIKP+pD77bCe0GB0awr8psgSV/NhieQbavObHWUev3tp/fmvs5sLt/Z5JTlvNRzG0ZzQXCVg5PN9O+ak0O27S09Ps1EMmb+c6/Y9K8d2JcB/MXrV3+0ox3t82K3F+69b7VCWc1+VTNi1WYTm5Q6QJGWHoq5UIdaygKNrYWJMWMfbH3Oqi62IjKUj3fCRmU1bDtUjrnXMFllFitAHIUVQ5e2h5KgEXypj6yKHFUeMAAgwTzEahkSe9mPAuflCQUzSUzT8ib10SHGqv0yP6fMmbm/zaR+3Le6P/S6RdCoWlokbAAbwKUpmHBIGjhnJkS/gOwXqqXHoWVIcRIKu1XtSA2dgZ+VMmW5YkPpGnWNVbJEdVbm53Lu2BiMS8Bu95YhAfCL6q1uDy1DkDlf6zYdMj+XBDkzluQwvyCMJzK7yPstMRUZqpYhfsUwgYRNa69/rmOfn8ECEml4q7CLSQ+G5mPg7by/h8+JyZqwliFkY94qf+QT20Qt7cB2g6kWih5DhExYmH0sZpKx+pkbIUvuSSSKc/lEYewdWuaVoBSNyPcNTyUGtb2WKl7Sd2xUPm/aF3ngvGFXfq4Gi1eS4bzKEmy6ZtC6lg7qa8+JKfBIIc+AOEg/yweuriseuAOULyEwoG+wPdaqTFDzLiHk1zHFMDGQWbcAYQziCrz0Di0zS3ECTFVw6iuQaU4w8bdgx/5ExuVzP3HuupZT+W/YlZ+fweJNCmWHzNqiWAadmcS3n6FMzpnezFUUIKua2UoV7R1brXim7agVz7QsWoJxVM0gRCtVl3RZAc19Nu2+YtqPOmNLTOATNKbDBNL8riwriRnBbChWI5Pq8rS9tcLZOzcqM5+3gWjXFh2KcPMN7PMzWHCcErVcJxoSgkQqJm/gRAxyw2iIQqFNZo2KCdqdaPEzLd67jYbYPk5g2flNXL2BzRBgLQltH5cyrkhrtF4KP4xoSIGAOxiwlRlFdCUqYDx9ZtEQtxMmKztIJCPT+OnMIpTzuS0hBoYZPptoiNvaxAxW9hdavetHQ0JHaNbTZcxnAfc+2tGO9gfMPj8zi9quEw05sByoE8puHA0hmcZPYeEJbl7ZZxENMfWMiYRKro6GcG/yEkkzMo2bRkOy6C6rt/6zi4ZIZKCKehAAm5Ko0hsxtJRnQe88GtIS/Ewcm7EhxKb4LEJLk7dw6Mq5P5NoyCxFQ4ZCivO20ZDYMfyCkrxi6Zfr2udzsLjuMgSQNfABp+ONlyExAp7KVDum5YAPMmBo1ulnAMoy1TKEifbHK1kijQQKEXYsZbAl8mF8ddBnvAyZMombEjp1JeNSiYAp8rsHZfUMtxO0J9tq6ZCZucr5YkMIzWcHynI7i+gZrrrmtwVlRaegrJstQ27VYEFtyrIZfWbJLhsNgAhaLcHbLThpc4KjfOc4PcaXhzl7/Jfz4r94IZpvSrRrYhQS3MRTEfseSvBb14XVAuQDrA42/Qi77kXr1BhwOt4+ubhCjkuNg00JaLTZgfT76NEknokMLX9+Ad7sQLteSIGVPXy7BQFwrSu4E0DCpDsLW4VJafAwvgGNITs+zW4AW5ujH9RLe9kJHqP7weWVh93tJXk1L5pMtltvo1FYuFU3tTY7+twfet0tUabeczrjiSxO6ZpKMEV05h9JCoBygtAY83cpvwoaKDKVEd2igX1StP7MpgNbC3MhcmLzzqJZC7v3uLJoLtKxLMS6pkLCNucWsTOwQ8Sdb4xoLuSaY2PkodyGLDoNlNlA5txQfhI/fVq7x2scMjYn2cmqofCzZwGz5w7d83KfhZmd6M3WjuvNQ4fuPEyg9TqIXcdux2BBAIxF3Gxykb17Vyj905uWE6lMePQY9qt/CGabHp7FDOZiDV7OYWeSkMbMws3ZD/nhB4D4+En5/i/9EQCA2QrJzXB3BrMLCHPpkpm1iKuZvJ130qM874AYEWct4iLlhjxjhJNZecCeSG7H5md+Ai79aPqghplBSD9U+8Ln77aP6O9IvSfpht9+cYX25SDkL30h5XHPtxjvzhG6Kd8CIIroWRoQQPd8EBX16sZ12+bKMQAw/+eSC/j8z3ypwJyT7Uv3DSeE9kLe9Fn9nMUh2FyGosOhUAlm9HeazEdRZ4/qbOGqinopd1sZKJ7+y6epPbKPGVK2pi6pVEW98vi7HRLcXdTfT78tO1EE+lMDPwdWP5Cs52Fl0N8xsDtGmBG6F1VuyExnQ1JZf0e23f39Hh/9gsP8UZP2A8IM6F4Aw2m5HjOkLFDNOl1IyF0zfHWZcvaNNve1vvWZINKLHbB4FLOT8/Gf6rD7yoDuu2Wt4VcRzflhFXUmoD13GE5Lmf8/cG07OjiPdrSjXctux8ziVWYI0JfnBK1YORRt4rYwhc+CgMPCyFSv39I00MlxsTGgSqyYDcmywqFgFCwBJNR4eT8rzkblodCs09gRgjISkTq/KMGXhR9BY/QUTS5Xx2xsRGAoNkYg2uoIs9LW2JrM3pSvqTUTp1hAPwAAIABJREFUh5/UIftpew8dA+0vTB2Gan5vZuHn4mijULZRAjLZxlwFfLE4DJXhqs4e1bfnfr11OUVZeuiMIlPQkbzFdWah22taPQAwQXAxfl4wChRl/9BR5tfwM4F7A/JpK54I5ZvIfTIv/ecXEX6mfCBAmDP8juAXpa+VgyIkXr+wiKIxkpYB+w5QUSQr1+Pn0l5ftcMvGN1JjzAvs8WwCiBPB2cWsAzvDcKq8nV9BnwWRzva0f6A2e2eWdQ2AVZVaec1+3Zth7ROq31M1uRIDE9JWzRrXiR28QnrcwQoBNBos6OLQkoX34ucmKFoVOirlq2BNRotiUVBzUfY0WSos7RPrsmEKQmulvGAKbEuhMXJVp5uM0QYS/lTy/aPyf2FlKZd+yyq9b960e0OsKOQy8ZBZxacNUVrXY/S35ydfMVDX0BG+2+4utz2nPRg0zadZA0ss769n54N8mvQDkh6IcIyljk4o/wdXXE+uh0QtgS7E6im+idq07KwLf1pN27KS0GA7SVqlK+/19mXlpmsGFajcVVdbH9m4bbSZrcrfea2Brt1i26Xq0F0VtLn6SpEnUFwG8qzau2H69rtHSwMARWx6GQZ4mxZhjhb/uWwZ3zzMiRT2slgEVqRENQ4N7sK25Ck6wr13jWWIS1lYlR9EEJn8rTddqbURULvJtPthLNohP07OgKqZQQ3FuEdLkP2sQpsqmWIMljPJdhEkfJ0XB8C21PJ8tUlJCsLd3Jw6lKswdstQ5R6TonVDMEvUJYhyXnIdoqvMAPBWsAvSj0U0jJkXq7vpsuQsIrwF7oMYYQFw/TTZYix0ke6LAjLCASSwaK6zTVSwbYMYmzplcuQxekO/bJy4q8CvCewEcq+MJ8ytX+SZcjtHSwAXNE3nWybQrjl31sMk5WOR+a0iihvKWYJTe6ze9/EuHxS9b3WCc1/68PMKVHJUklwSm38NDQgrtXe/TbHqixWn3oMa7ulaKKmzgUfcOP284HPuh/32wmkhLDS1kkb9spubFUfFU2V6S50qO16bJX6XvRjaPKbv8piNFd+L/mk6d8A3jLv7IodfRZHO9rRrmW3e2ZB1Vhm9pYkVC0tDF2BW7M1IGPyJ4CJqrWCeXiQ49mlf7Y+L9LiMU3DiUAJ6q2M13ASsYBGV0zx+O+nL8emREPYUiWWk74z8vAdG6k/OoJJ7cvncZLtGP30mutoi5zD5P008nLoGO0v+RsIdbo7lel9ZufugLAjmAYTDscYUtRjP4XaJCi60/bLp0+waP1eW11OAYnRvNSvFtry1tYpfh0NCYEQbYqcdFwySQ2n/irtCTPKS5wwmy49dNmhJ9b9YkvgeciYmTAD4pxlOVIvAeRmymU8DwAT4qDLDml7TIA1JlR8rnJeP+cJriTMI+4vt3g8X+Ra7MojDBUadl5hcSzDDw14Wd2Yb6GFepxZHO1oR7uW3d6ZBaWh8VXbai0PnWlo4tdb+BbYyijMRInrodTBVlLOMzmvpesrgBNVUZBUF1VLSVe+R0cZsadveOFUMFCeDI1EcGPeKWvUPiNU/ZbWWVfmmDClTOjwJP0/40fSC4xYyktU5RO0DdPzsEVe0+dyW74bB9BQ2qwzIQqUj58wid3ELFdtYrD+XafdJIdjfYyop08dHHqvRFvo815JfWcAZ2JhFQPkXAZgYlCmHvt07BYPFuaVUySuBYjSwMG2eOGvw4aVSWKoekAJ5UG0RvIlIpeBqab3v4bti8RMHjxDB2/ujOWnBMwyaV8q2z/xzf06q0Kl2mZtf9bcoUSkYkpZJoihkv9g0mDP6abVdscbtj+3q0Qfpw9SNZiwS9N6lyDVBoiOq7bJ7y0kNzdqTqnWcGkTQe5bkge27ESTgZgMgwPJvpaBMO3j2JQx5FV0/UyMxobJc2KIEXTAiPxWy4w32XEZcrSjHe1adntnFryn91GFRUkZsAARDlYGKy1jYVbiGPPn/jky+MoL6MmMykSk501CyUmYWOqNgBe9DjOaXL8ZYxZB5syUxTDKapRGd64ctraP+W87MGyPBL6qjh9iEsiNZVo9Sn0cqdLWSNsGgq2mpGaMMAPlz/q662PytSEBripQFhvKyzqjDsqUAGb74pijKEAkM1YhUq8hZ1Ez1wQzdTTHKuV7f6pdl9uBJcN1t78PJglXIb2djStOS7cRIR/jAbc2GdBkPMO2ApxyfVXXjuC26fwTUBZNyhSDYQYGLhvYTb0cs7Abgm0rKck+QcwT9iZQIwrqaTmkswi9xlixeJNPDl8WwJi2164tPr5YwaxLPSO1sGsr91wkxFDN4kj6Y2yrx/4Qd+sr7PYOFiHilTiLyCUF3YfqX1Eyp649fGyyrPA9RqFS4DRweEVVBlHWigCl9HHaJ9h5w/kVwaiXYQIjsq7ny3YzJAQnkNW8jJ/Bbj3izMKMIUdDqB9hh2aS/vxpGrHwNmQLXHwV+ToUxVkQnAAyglOzS+usUwomczeYvER4u+VI5oLQQWFkmKEm8kn7DSWb0ybkpBlFQKjZFnyNCTKQ6MA0Lm62PIIvOS4UUt5MLBEdLRcMBpdjOA3WDHCj90L6RBlAzAgMB7g+KQDDYPOAD0hEigLysoaqwUKXZje12ztY7Ns+3Hu/nBmTRLI3wL31TUrM+S1NsUCSZSOBOE7JQq4L9x4LRDvrNY9c4N6ewQkOTiHVy2VnCnIheVCr2kVRZh3vCu5dCGmkDQWCnM7Ry4AhEG7K/Wi8cGiqf8XUfKChmnGkrrL9zeDe+fxj8mmnarKvtXIuGl/g3sYj3wMU5XiqUKRuxzeDe29fAfeuEKAK9655+CdwbyXDUadmBffGq+DeO4PdtkFX1R03Bm5X4N71uP+jAfdmiSlPJhKGANOCtzIvy8Q4gKiWp4edZw0QI3jRgS4THwYRuG1Aw5g/AWRINoDMW6HOUr+wsIYwnsg+nbOInYOhAErUe9xZIBjERQO/lOPtWr7bdVIjT2JD47I4InWK7bsCx6Zo4RPc28wMdmcGJiDzVvi5AXkHtgQHFDq+voGfO4m370VF/MJgnFdLncGJ2rehrPp96BgAmbRnOCHYGqthBXsBlIzN4SRhOhoDv9TrIfitUvin69LBkBnj3CCmJYtmjfqOEN3ht3pdHh2jWzQYztJxc70+gXsXaHgaYFw53q0N7E5g1dsvRHTPUts8MK4I/RnQXkrZcEro78oSQ3AUpS+1Th0k+rupfGXh3x/Qe+mkMGOEkwA2DuPdatm7pQn8mlce8EYiOW0Eevl9h6cu9TXy4BibgrOwvYFNs6P+vYAf/9JTfHt4L9djT0b0XZejLzyrJS4ZsW0Q71Z6r28x27gVgwUZI6+ImunKyN/2nvwq4dnzsm0Yix9hN4J2gyR+nQiJCWIEXlwIYY4PmTiHh0IL5F5IGYUAGIMuxMTUnZijZo1EHsYIpAcYRDBPX4IuG7j0cNHFBrPBgxLbEq/lc/GDIc9eNNrSOsqRANtHtFnLA3AbK9eQRn23CfLmCRGIgK2Ibmwf0D3qYfopI1XsGhnQdL/zHWLXwPQjYpcGswPHAMjMYSffuT9JnqtFijQkGlqC8Qy3jpnIhqL4aOQayjJB+pjRcVlG2F6OOXk5Zkq7uMdyVZebMcA+ucjENTnNPPAkzV37NjZliWN7lqUHM7pnBt1Fmdm5Xt603bnUtfxegF9ZmEEAW+6y9Lnm0OjMzK+kvYtvr3H6T88we8a5b8K8QfuSMS7LYGNGmY3ldPh5J7MI0jC57Df/OOXPNMWXEhrC7GVAaA26Z0P2q8Vmhh88+QB3ih44QtvAbTizjtX9antGs2aMy/LifbKeDtKvs2M05GhHO9q17FbMLN7WapUxSfgKCSXEefubJleasEOBwUiRl8DFlxE4RUqKPscE/HIdUwefRmmMyRBeCrFA2AODosl1av1Gna+h+E0oxIn/4lO3agaQTaEfOUFMZhZZ7Sxt079zUpUvv4c4/NLfb9uP0HqvflIojkAy2hbKb0FN9Vf/gPqkKHC6DnxiVbFavYwipT6YgrD2k+hKIl7y8ygMXf054Mn3V9Ybpr8Xsc60uCTRfUr2uRksVFWMAXDjityes0LR76bTWOpacAz5EwCoWoYou5BRfsxlA9MHhFnyRVxSyhkxhVTVEnjWguct4iwR844eYdXBKjnvJvkcli6zX2cOzs4gdmXpoSnqdojwSwsw0FyOqX1WoieNgUVh9rJ9SMe1E7JaQPwdoY6SREbsnKTUp6XUoWMAwKbo0XBqM82/dFpJKVff3HBCaC8FSVrndLiepo7dSohpXBrYXvtBfTmNMGzjKgV+XW57C7Pp0J+msKPS6A/CS5k5OLWdprTVthI9MaP4KFxffCz9CSG2QLNRX4hDf2rgeobvCF2l/KVt1iWUtqV72mL3ACIwBU0jl4d/OKmuZ0D6zdP5ZulhT5EUFStWWn+RQ0Du93FuxXfELjtZd/cJ/fsBFMpv7leM5lxAcGDkfBpABlF/QRirdr0K8HXIbs9gsYe6JGvAbApGok4kcxYclFtC9DXQuBxOZZPQnCbxXhh75RxZti/R1wnfAnJCkFDtWZhKYyQ2FsYVJfXclibxaQC5Lrm5Uht1AtEV+jwzq7gzLGGcy01Ta1iYziavuMmJa7G1ef1Me9BDOX+5RtdYhM6Aoi0q6geOAZAT8UJHVxCc6iPICWDzMnjod0VwOgKg16iDhrOTBDflZBC2ajMpm1Ss5Sx8IdnJ2JX2hHnl4Kz4LDLOYivhUWqA/kxwBtI2cdyOK3mAcn/M5UELM0Lor7Z5sl/qv/Ekwm2qwWIhUSK/Kvd07ClR+SUn7zJFkiLEb+HU+ZvuCVeiUNEmf0c35f3wK4a5M2C8mOWysIygaDL+ROsD0sAUCGOtov4WjojbM1jsGXsvDs8UweBKF4S2PVDT7PeDhEsr8hve7IC+l5eOOjirc7jzFGUZgyiIh5jCc4mef/Cwm0Ho7VVXghl0uYUZPUyi0KfLLRwR6FKQPOpM7Z4OmY0rw71teejtzhemrMiwgwMiw25k9tM9N7B9EBYvX5YhZuvREGDX4xVnpdlcdXCajTg4zeawg1PLeSP9sXjsp/T0pggU6VTZz4UC321iGWxYZkjkGRnSHMqU34w2OzybNKC5tb+2g9NcbDILtw6IxssMIDs4VR/VUsZcuF6YvyhK1EOdmeRlRuEvCLNnqtUS0V5ez8HZXkoF7dMdTr/ZoXuuTkchqmnPI8ZlhUEZJDSub/IwM5Plg17T4rEuecvMIlqg2cbk4Byzg3P17Rm2uzlmT6rzdFZ0Q3RmUc0kzcho1tN2/aAO+b7Bjg7Oox3taNeyWzGz4BjB4wByaV0dGbyRN3V88RJApSPinHwm0R0yJCI8LSP+4HE+J33pC6BtC17MQBci3GIX86xOFtMshNiDQgA3M0FzKoLqyQvYRdIhSW9ds5gh3j9FnLmM02gai+H+Am1a1pjERxBmFrSdXmfoTNb1KL4HwG1DfrPYJ+fSvlkD92yNOGthdgPiTObY9tk5gFPsvrDIuiSA+EVqXRIAaBcN/EJ0Q3Jdm4A6Gy7rhoT7QASGEzPhjpR9pn/3p4TuJYFaszc9N+jWA8zmqshQ6GbFh5OaePnlLqMnQ1eARGwq8FMrCmHzzmJYTZcsbjddHuxT3wHyhh4XArAaTgnL75U+8+k31NnCxVdaDGcCyhqXhO55LXVIIOYMBe/PSJY7doXte3Ltsh+StCFNdEMUtBUmnBw0BXOhAuHVkzsPvPxJh9AB3Z02zzh2DwjbDzwolMd4OGW057WvpZxnPGO0zw3G03LyUFYwb7RbMVgctCvapckHEMIUaFWBrybHNE6WKo0DVGhoGLOjVEWC1Ivtlw4ufcrhNgOV6rp0oPCL9NCv5XvTNXKzJ7i2X1Xcn8lq0FQGTKVrG06m4CgFesVFI4pYqb3mUsrG1dXsU7+YPrxmsBLrp7IWBpJPJ133uJTrmDUWiOK4i3tAnX3AVH9X/AjR8WRbdLKcOnRT1f2h1z2cUs6x8HPkqXOduepngoRs1i4L+9QAqUJKc/jG1/OHrQCuFB8ByLWGOeUlxXBG6O8y7Fb8DRPN0BkApuwX6e9JdGz82KB/6GG8gumE+IatQV+BsnI7EkFPTOAss51O7vtHhyf7/V1OTlGCSQPM7kHE6RcvcLk9y/vFuyNiLaxVEfA0d3r0dgZzrzj6P3egrIO2z6cZOScn1MlhBxPGAGTW71glmAElvKoKYjlxa5ogpufU71oX+eTbSPtRiOLI81Fe2JpINvBrE732k7v0Dat1anIajaF8ahvGIHkY9fmJYIc4YQMzPjFujwxrtV1R0vkVIp1h6xJi1DV+bftJXiElX9lhX8+Tcz/uW90fet11Xgab4sFnU5WTzCzMGKvErnR8gmW/zuqkMLujibao62Vtr2V2JwOFJMhVb30Nd3KBodudcIzYMcKuDawmuaXQpd0VZ6ruD1TO2Ggm5ZM2HTC7FQe83RWwm9sQLi9nk3rG1k3+DhXp9dg0cBsD/yOXSLavgu6cpCmOfkqVV9HnTaIdTVqutK5IGAYjERNTqaA7daQZmIouL58zfde6wrxBbErUIXYyQ2hmDjCUHZ9vor1TyjsAiN5UdHsmb4eqtbtQmMWtlNVRDwA5jFl7y+3CYFiKZzxk1GOKtCTnmk7tZ2nmUlPdqe1T3vk5YLc0ERnSc2s/7lvdH3rdfl6cv35eCICiKwNUbGS6P65sXmbUFHdvmlkUEwh3rKMyHSHMKJeNS5lRsCUMd2MWRTJBZjiSx5HasJQZRH9KCMtCq6czC7vH7p0jYnszC967zw8pwQMS+QgtMO4IOkD6RcRqtcPloqw1eOnhh8Mzi5MHa1wMJ2hOK4HTt+C7uL2Dxb4quvdlZjGMWdBYv9MwTiMmwyhCvLuxCPWGkGcbuq7WjFK39jCbMXeInlO/6zntZgC1rqiQbz2ac4mcsDG5LncZrmiRItoMAHJrn9Mk3Tag1XDoUNpD/QhDlD91u9mMaC6bieI2E2BmFqHKQGzOPSha2G2ETYNgs/aw1cxCBwaz9SBmdOcx64yq1UrccpDJ+9Xb3JZzP+6bu7SlP9J1dy9NUTkfSDhOkwix+ixiw7AD0FyErD2qb2OXZgtqh3wWOhuR85lJhKNrJDyqZd1zC4op1BoMZk81twVwnYCtdLZBLAN/9zKie+zQpWwEt5EBuz1HHmyA2mdRQq51eW7T+WEF++GpFZ/F80o5ngzO5ydYPCn1DEO757Mo2y7jKbonFmNfymj/t32NHaMhRzva0a5lt3dm8UmNGapXcYWT86b6H4DwW9Sp7syZp0Agvu8Qir1vVVWU21ItC7jAgcnxpHxfv4Ji/GT9clOr2kFgZC2PujzyzTVbbtgmE6ZteJXex2f5e6vC2I11TuLeb/+WdnsHC9qbHtUiybXKWK08tq9aZuiqUlk6d5YCGBM6szWgsSiN5XPqd63LGURXfBYufWcrfPOFUv/1imGqFgYAMWVP5jrSdkGKGvBoC0zbqjBzUTwDkFXVaqSk/k2htNeMPGG/KhDpguDcvxn31cLCjBB2ikisBqdY+nHf6v7Q6/Yd5Rt3P3Sa6f3Vr2MpR3rCK8Kltf+i2HR7rHw9oZNzalnoihSAn8nSQzpHjhXSHc7nEgJggl9G+MsqdDpjmHHfZzGNhmTZgr2I1iFhatlfzm23lEOnfsEwJ2OOzAEQdbTKV1YLI/MywG8N4rIKuf8oIDiv2NuO4KpSFmIZJNIDwm+jXHblvBHEtrx1Apc3ny+JaO/ceO+tRjrjqR9eYePSxCZp/3T2U1CWh9fK79JqLU5KsOes6BVKuQmY6Ka+u/awRDNYnJk1wlLZuSYJYb6gLN+5VbOKCTnR29iY4OV8eEB6k92qwYIVkFK9+bKFIG9V76fsVzUjVr08GBNcPIQ842Dvq9BpYboCJKQocG/FDnNxslZ10RhAtiRFUQgSflSmrup8r2Oy2mev0pBcfbyyculnaYPsPzk/IV1nFdtPYVI7FLCZCTqzSIfpQ+nlGmr2qvy77L197K7sV2/TNtF4dcCs+0Ovu2Z9mty/NOUBtYOcd5+56iqT1esdnGFLkz7TpDAtc1vJL7E9p5CtdoD8p+xacqz4ae0Q4dYuh2hlaSI8nrFKRMuO0aj3DU3Ky36HXzZuI8FAt+E8QLkNYbhoJqHS6Mzk7wmtnpVjuGbKeot3xNHBebSjHe1adqtmFhPbR3BWforrIDi5a2TW0DaF3JdMfvncHMHZIM4dxkVK7d4IpNquE85C1cjfNYIz4SeyJZTmBME5WoxLCzaU1/bRFfATgMzmxI0FmD9TBGd/ShlaXiM42SCXh07e0M25fecIzv6M0N+TY/yychYnn4WAsrQPOEHJPyME5z3JICVPku6Ot0dw2rMBve1AdysEZ/OjgLPYN0Ml1fw6lhTK2JmcPk7OCjJzH/D1FsaNPHxZk9QZAQ45AXHt82q8K5uogQEpT6EolwFI2qoyFVXKOZOEdkpadxpEuh/CrUAFfKXKYBQYsaHsDGULhAaI3bufBEsbOA2unPuGojgzUaAx0q4ZY9zLm3l3bWPASDv8DX+q2WzExnY3Jh+6VYOFmafELe8nfJmysXBysvJrAoVj04fJMZR4OpWjE4BwdMYIBuAeSYKagrJmgweGMXNr8npT+DGquuxyBrMh2G0i0N0M6J4auBdbsDFCIAzhZnwdR6byYwKSNt6cp9di4sKcfdeBLjagywbUj6DL9LZ4eQnHjIW5M3GmsjUTjk9A1r9uk5jINdiyHhFbm52cbSL7UZKfu/9sl9PDc7v3EJnjiUNzIenl9TYzBtjzXQHBVbbYLHJ/5OseFtmJGBsDdgB5idDUsGwKDDtE3P19+R3qdPE6ulGjM3OblFp/iPAri8W313lb97RF6Azap4LVjnaF8WMDO8aULJf8WlEGMOMLPH5cGIxzQnfBeO+3LGYvxJEQWoPQAO3aY6g4OG1ySoZm2qf7zsqTD/fEUfT4YQa20heair/8CNh+eBfvfVzug3HZolmXc9a/z+WXznDnKcMvKiHlzfUHu9sxWBAAYxHX5Ye07z8sWaYAMMoD77//A9DP/HGY85SVeraAebFGPJ3DPlFpa0ZcdKCXa/CsAfVpEHn8JJ9//fP/IgDArSULc/N+g2YTM/z5rjHwd+egEGHP5SYNZ3L+8aTJy4bl9ww2X2ixTA9f892nAIBH/8aXhVdArw8ynVc27PnHizyFd1tg+1Ccju83XwYAvPzDMyw+PoOfG7h1zFP3+aMzbL/QYVgZNOupM2xcGoyr8uMvHgWMS5M4DBTB2Vw5BgDu/1/S99/510+ys07brlN9Xfb0DwK6Z3M0F8CYOJKJxQk3e7osQj7VmLN5YNCk/lA+hXEFNGttx6RZk/JmDdz5xoiPfiFN9Rdy3XbjEFYxL6myYrjlTLGHywbwBLt18O8POP2nMmWnCOweAONJxOk3BS69fQ/oH3rYtUFYBnSPy+Phl8kJupay/qEMDu/9lsXZv/ddfONb70u7lz1OVls8enSKO++d5+PXmw7MhMVC7qWHJ5cYg8VF30qU3sj5P/wnianbFOcjG2C4H0BLj/ZbM7hEYt/8mef4C3/kH+JXv/lzuZ6v3nuCrz95CCIGM+HOovyYD5sB33xyH3/owdNc9q1fv34453YMFofM+0m4lKu3qNkM2Y+g383WTd5otB0kyzR97p+juZROsusRMITupRFGba/kNyPsxkrYMddlK65FlQIY0L10sOs0IKV9uxdXYdN2MPDpxdG9iJm+zm2j4DQYhfzmZYvm0oO8hdsEmKBZriOaCyfs1JvpYGFHzh5+OYcknLlNzG+2Q8fk/gIwf8IlKQqQwWJWvgPiC2lfAs2G840r1wF0L2P26Nd4jWhL9MJqItmO8gBi99Li6/Jmw2guRswfJX9OTvMH/EUJY2t+Rq0pazeU1dJ632YWbgGwGbiNycQ1gIHxDnYn5+oqQnnFUehAqj6K2QuPb3zrfXTfa1IbGjxfztA9NXhZ+RJs8k1czGVgOp8vJUw7aN6RtOvs4+SXo9J/op3i4OcW84+RpQCefXiGv9n8aTz/8G6u57fPl4jP2uz/eTFflYuwDPO8we9elFwS319/2XyMhhztaEe7lt3emQVVLvs9Y1dnnRKISKjxaqSmMdN/e1YcfgbCt0mTTFCQojFj5sCAJTDSfimGzpWDU06oWaOEqDO8dHhoCk+kiPSkzSE5IrnOOiVEa8COwK5Q28FJWWjNlfVuqBCieg7dr0Zw7h9Tt1sQnNWMjipUoV7HDIg7IPhqGyM7JwuWoK6H8rIkO1VbZH3SuKc2WZeHIH2uM5w66hFmXM0sUlNqVXMuWIOp05IyUY3+lqGTaAaY4Oc8TfVOL2N92/s55/5rlj1C8lWFRQQvPMK6BS9KByj4U5dKzXJEZEJQ53uaWYSsUYMCmTEpyjJPOim6PFkEfGF5gUeLMoNZLHe42Nk8s3DzssxwTcCut5itKn/gW/jjb/FgYSYXQhWUmys2b27k+4Q0N5pE1Ft97p0jQ629dGxoDchXKcLOIrYWxpOkuwPZMRgdvXGwEJh1aq+mJ1cp5HU6ObHAlgUurYS9MhWWdnFJZ2+FfDc0gK1AP8B0MALSYJH204Hp0DGyIbV7VoBD2vbyEKZj5oxxEPLXOnQpmZicBZ8z6pLlYcuDRWaLouzg3Ic51+Xi1CtQ7DAvvqCw4PxOiXONoHBOvWZjRdmLgHASMqs7BYafCWS6EAGnwSemgaVqk4Y8tW8ybLsBTlZbPF8m5/zCY7Ya0G8cmmV5KEfTAJHQLGSZerLawgeLoXEwpqzXvDr5Kw5OjbzEuXCe6uDXLAd89eQxvr56mI+/v9xgt2tgDCNGwmpRUF+tC+i3Dc6WxY9B5jAI7JC9cbAgor8O4N8C8JiZ/3gq+y8A/EcAVAvpP2Pmv5u2/acA/jzGn4L7AAAgAElEQVQkk+M/Yeb/7dqtqS2Gqc+iQmeafix+hJ0DjV487bUXXhGc+rl3Dk2XthvxWTRr8Q3kLhk97Hac+iy24rNw1mTMgNl5uE2E2SlgXz6b9YFU72DyDdBeRJhQfBahFQen3Y7p+A7N2oOCtCuL5G5GuLUDRXPF/wBgki+i2+v9Dh2T+wtA+/Kqz0Jl9ApAkrLPwlRd7rZAs+aDPovQlrTzorJefBP7SMK6vNkw3DageyHb/K6gH01P1cxCB4jS1tpnwcahfVl8FmwJxhPacyXJldmk3QG2lzRzNRVaVp9FVplbezx6dIruaRps1y36jUP71GCIZSR1yWfhN/IyeLZuDvss0jXu+ywoGPidtEl9Fhcfz/EPTv8w+scluvGdwU18Fs/n1dsj+SwehTIT4QN5PK+y68wsfhXAfw/gb+yV/7fM/F/VBUT0xwD8uwC+BuADAL9JRP8CM7994oGxQCXrOplZtA4YNOHKwSZq/qxyzix0es6Vz71zqJOMvMSvx4UR8I0CpZxFbJ1EQwadxSStjLnN+zWzivwGgEl1CZ3dVXBTjoDsTP7OlKIYLNcDCBlM6CzCXFiglRavSWV1WE5tWJoJc3OzLfsd2n9SnmZPwylpd6WOB3y6F7NuyJ0EWDI0iYawTbwUOpPLeRTCaZmjQhoNWVLRgd0DftXlbIUrVDktNUHLbafJWqojCgNw6nvbWlAQar7xbokKURRdD7/i3J7hFOjvRriNnLfmo9B6dEapgKthaXDnvfPszORFQLMcMMQ53IMy6o6bRpYFCxmUV8sdIhO2u6Q/kwaL4eQk93seLEjqi4uI4dLBpSWpe7DDzz78Nn7jvAwWH9w7x/dMGQzm8zK7mbcjHttTvP+gjIKPmuvPLN44rDDz3wfw7Jrn+yUAf5uZe2b+FoBvAPjZa7fmaEc72q21TxIN+UtE9H8T0V8nIo3dfAnAd6p9vpvKjna0o33O7aYOzv8BwF+FuJb+KoD/GsB/+DYnIKJfBvDLADDD4uoOHF/ps0CMhTI9hETKyyXrVEl668+9c5icdRqBSEJs6zmraCEIYS+FQvhLKe3deC4K4T4myb5Y6oaS105BWWZExvXLOarvAyeympQz4GWJZEZJM68Vyc3IsOPVyIYdgVjTK1b72bGU7R+j1wtMSXQBmQJrlmj2A+wkI9MMDFspwZuB9/RE67YUh13J3OTcH/s6snW5HbSP0jb1F/WyWi2rPcVZcM6yFYo8YcQ2W8p1U5Q6Yk+F2q9P17ajhG0o7VEYvZZprocdGetNl3EUgcSZ6bZGlh7JaCs4Go1NrKmTaEjCOfh0/cvaP1RFQ+yOADLSxgR6GzcNPlzfw7gt9TzbzKVejb5U6bzD6MAbh5fr4kvh+On6LK4YMz/S70T0PwL4O+nPjwD8WLXrl1PZoXP8CoBfAYBTc+/twOoRmKSwJ5aqK4zg17WK66EwISXeh7ouLjfhdUwBXIwS9Sh1lr8lrVm/l7ootYfqdsWCWHxnVp2/5pyYVKtt5mq/1Fc57Z3LgcTl2ugtGKVr2xf5lXPW5yrn12dEWbd03xpVCp5ew02tfiDBQGbM3vu9Dx4TxVel0ZvaT5EdxK9qHwMRhJqhm5mqe/jTvVVuNFgQ0ReZ+fvpz38bwP+Tvv86gP+FiP4biIPzqwD+8Y1bVyVF0YQFy5SHNuEo2NIUZ/Gm0KkyZSmuwSX8hPaIFWcmEeWwotZzrdBpQzD7Ycqa3dsVvIFRvAKXN1h0JHU1hJiwFdpetvTuQqctpiSuVEKdGWfRMWJHCJ6K8G7CM0RHWYtCB0mw1KP9oW1869BpPq4MCmFWnohQZVjmtkYjgzwTwjxmXAmlcG7ouEgK3jB0ulj0GZnJ84BmMcJvbHZmAmVGoWWLhUhr7hIs2zUh9c2stL960g+FTt3C48uLF/j9xft5v7uLLXbbchMsqtDpvB3feej0bwH4BQAPiOi7AP4KgF8gop9Ol/P/AfiPAYCZf5eIfg3A70H65y/eKBJytKMd7dbZGwcLZv5zB4r/p9fs/9cA/LVP0igAwk1RU71Vswx25o2gLEF5Uv68eo70Bm9MAmVJzF3fJmwtYiehU8q8mDbXrzocbOU759lHhTzUN7S+5VrkN3HoypuSQgIccUkVFz5Ik1GYYQLKojRrmL6NY0OTzMvQlP0ySvHAMXpNUu8UH1HPLDIoaxHhdxKSVFSlLkOk/xSUVU4TugrBmenwkaUEapk9YFpuvPyOIYUvw6Is5sPy9YlkgSSRDAB45eHTDEBmD6r/Ua49ziNCNPktntuvMwtFlqZZTGwsHp5cSq4HBJl5stri2brBallCp2t6RSKZDZNEsueLlV7aBNQX5xG08Aidy+Wr5Q4/tfg+fmv1lVzPB6uXuNh1BxPJls2A88UMDxZVwuaPhG7I6zg3a8ZuVQ6LyE66t2GpFt5FQHkfi+8gOTgjC/M1xPmYB4U3GVcPnY4ZqR45f1mDm5Ck8ioHJ8WEAUlr/aLzwdOH+VO2K+zR1XS48GISyKc2VgOC+l40OW3q+2Bc8cu8QU3siuXjKdeHijYuOyoCwMqZGapr8gUUp7+P8WUp9NbtSTYGm+uOTPDp71j5MvQ718cAsi8AFQlTrk+e+LEO1xuZsGOXzwEAPhqpS+u7Id/mIbu9g8W+1YNHxMTRmAlf9EGOKTpRfe6fgyooMii9BauHGSREMhQ5g4zYUJYwtKPejJLRmbklUh3GV84qo3WWSEBNSqvbKJZroSgIwysPmEYCRi4PZbIwlogBIA9tSPuFtO+hYwDkaI7ZI6FlU8GOdfI00JXBtVwDl7ybqo91m1xLhcDUSISb3tR1uRk4RZ3SA5AjSqlt+vPWaEh1GAaCGRIjdkQZuKOwTlWUpdKerUnREDONhthpNEQZrszIuOjbjMQMTiDcNJgMuAIgUY9I2KVR/8IGgXuPAvf2CgDT9tjq/rFSXySXoiFSvt01eDycYhjLY/x0t8S2gnvbyiex8w67TYsnm8IHED538oUMWTLsj6BK0AsUdCYqL3u1H5x5u5lFHUwhunpMzYZdefU/sR04B5vk/a7KCts1T2Ykn1o7rtm+iaO/nlSlNueBMBYPft5vb9bxqjpu3NRU/5U3LzGQQpFspD4mAG2cDNxUDR6fxPbYEye5HtMGlzd9XhmbiK7x2PZ7mXTEuXGvmxwY4oP1vUXQ7tp2KwYLMkYeeF9eadQ24MSMBUCYq5LF1hYItk3e7hjBp2nE9G/2qWa9jEHCbOrFz+vyVYcwE40OXQLEmYXdXo8spNbrzFSOFtnzLrR4dScI50NIMPRxSXC7wqnp87raTng2P22LrlDHabv22b3ZsoTraLofSNqtuSV6fRQEvp6jFjdsv2IxMiaDpg/TBKuhyxCG8Ex6Anqbo11shWeTXcnIvalZE3PdVLXRVu3xabajUQ9rIloH+GCw7VucLKTTXnbis+AKsv6qAc0eoMfrrIe1DCKWd6j99NasRz6Lox3taNeyWzGzOGTsU7ZoK9Ozml/TXuwyd6YFQP0wHfViBJ3vwNutZBdut1fOMftYFn6m94AxgpIcIlxieja9h9tamCGUugiwz9cwmxbNeUoAer7GPDLsc/Ew80ZmQKuPfOZrzPibriiDNRc+k9CSZ7idIPw0G3bxcRBx5Y2B7QPcZVozbz1mz0jYs/rpLKfrHMK8TAuaFz26zsH0Hl2Kshw6BgDoXNp/9q17U5QnoYr8SNH4hOC2jGYTyyyHAdcnBKy6Vyokpx0LCjVclGxbzVANe4S8dbntI7rHa5x9o01l6reRGZcuE2NKhhPyYjmP2xVk6fDUYf6xOquB5oLg5waLxwWh2z8ycD3DdzQRKdY6tV3Kwn3y4Q4f/pP3MsNV6Bz8fIazF1VSGASZSbHgKJ4vVuLMTC9+nVGsPpS/o6XsX4pWsl5jazF/EnL27sfLE/za05/F7HvlMf7m4hTugqCCTedtaYPxwMkFcH5SCEFofWTKOtrRjvYp262dWRCROB4Pb8xRAzZmirJ8W0uoTE7nVLwBm8RSNSLrkdRKTm++gGotreekss5nZ8r1WZTIiyI1iTLKNFrK3njeo/v/tI2T7yH/bSj7LJSti03yyZjC4EWhOGp572VFND3P2+hrTtpmrn6yRYY75xlc5RuKo7wR2UiZzpIsxD/FlW/pxiFpUzkh0/Xv92O+H6g6JiJNjYuvTCNJsamiIY6AQ5KFBMDwpL+1DnX88gRH8cnum9szWOzhKjglcPEhB40meAElWaxKGLuWsrXu4iOISaIOKSwKQGQKh4S1SNT45i0GizrfA3pOYyril6JfYrzqkQKkEn+jkMiwAewYEdPdZIYAM15/6vi2Nmk3ADCDNBSalxWSkEWhSOkJ5oInS5iclMecjlHn383bJvWXz3rZo+A74ysMS/pOQUh8XM/VsdMEt5vaJIQcS9h80o/7uTSh3ocK/4aGsmMJs/Mr7mfFmdTtj1zquZo788nsuAw52tGOdi27PTOLfTN0NYBdb9MpPFH5W8FTkov3etMdbL2kKdN9mATEMQZIs5taAexNVmMQ8hLClKVVvZyISY0LgavlRgXFDjRZ0rAzwCsEdD+xVcun3PY8vd9bhthK6QycaOn4yjJJ8QysYcu8/e0AF7kPJsuQ4iQs/V2WIZRmDzi0DEnhanWG3nSGwaZaWqWlEZtpPyLhPepjKF5dsmTFM0d5RhEbgj2gIs+HliGoloIBmKbq/ggsQzhG8DiAEp8bRwZvkojQUyHpsvfvCZeEtYKj2KZgvjXCvdk24B98XE76Y18UucLlHJT8GdQW4EtIDy15GVjGOx3cEMv09eMXaLbCs0GXEuGg1QLh/gph7uAX8gt1AHYP50ik0LDpvLGjDN3NKd4OOXrQrMvDYweWm8QSmkdCeRYW99A93iAsW9j1gLCUtruPLwA6xfqDDq7iMQCEErDGYMxaIyJDm6bQ8l068Y+kCMK4TBocmztABIYlodlMTntFom88kSVFtMi4hegENt1tI9z66lMX2/YK/+flBxZ2l2DPldYpCHBJ8c3PALezYHOSBZqUYNdt8UatUwrA0IqqeZgBs5clwjHOLUwAmq206+VPOvR3GXZr4FeM4Wl5CjV3R3VS+nsJSzHMMNwPsP1U65TCzbROFaVa+yhsYFz+uLRhPLEwqrd6P+L0/Utcrq+nddrc6bF7MoO5V6KCsbv+gH0rBotrWS0NUNP7v4LuXx2fbOngeKrOQ/VDZCkATbTaryN9spG36ZUU9b1Zx5uo+jVBDBD/RE6HrqQE5NwGJn3qdm0nV+dnopT2Xl+jlEVH5aFuZKagSMIMwCICDE/o+fN59mn6OxSK/mqbUPYXx+yr+kOvu05RrxPgmIq/I7aE6MUBWFjBU5PjNAFN6fknlq6TYnqQJ3KHKS09t6cMCqGt6uGUYMdAzMlwnGcRtPTwKWQd5pJK7neEuKgGx8R4rg8vpVT1SNNHUJMVr/TfTFLwQ2PzTCouIh6s1jhflPDobDVgVwkHUZUmP58POJ83mFdp6/i8JpJRl34d76cZp4BEJJhhTk+AXQ9OjNuUvtOuB1fHUIwA1UlCEK3T5Mh0LxPOIumgti8czGaEGZPWaTqnfte6yM8l1p5zNCLcNoL6pIua2JS7Z2PGTKiZpD0q9Y0waSnhtiEvT7TO9sUIs+7hAsPsBrh0HbTr4V72aM4c7K6+GQnEBOPLw+C2EYCR9qWHprkMk+mxOuFU5mD+5Corud+bWZjRoHsp+9Xb3Jal3ZurWqedo9wfet1+1hapwxGTmUUuV6ckA4tHepzU6XY8mUkdQobahElwO1Fr655VyTPsEDpC9yypyN1pQVEQqOOO0D1Pfc6ijEYRWZKSPIk2a2C035phnia1Ivdg0J4Dw2V5vDSfQ/Ekqg9S558AwPzJYfTxeGIRGotmUxyfiw8dvslfwOI7pZ7hxQqL86pPKsHriwcN2ucG600ZXPAps3v/cGyP9WoSSg2xGuLT9yoaoqY+giISJPkj7KzQ8QEZGk5jAIUA0s7Tc+p3rSsnkx3oZEvg5DO2fYmi5M2VH4bGkOnhaAwZwJUp/MYAeGlT/kzbKQSh8qsHQieZoGb/TaFhtBy1YMTW5GPzOr8x4MDyUA1x7xzTaw1dtV+1zQ4x9+OVrqn6w1bJcJpsZnwJH8cqjd54Tmt7ygNIOed+IsuVanP0w/YMuy0yBUAlp9hXSXQ90gyoTuLTyEmJ/thB1Myjk6WJ0vNTkGiR3XJm4a7bSlU2rJTvtXd3+E1vekikZawAZxvAXdiJhCRbmvxdJysOQZZD9czvbcLFx2jI0Y52tGvZ7ZhZELCvom7eew+IQRyaQHZ4+idPYX76j4EuE/T3ZAH7skE8mZeRj1lms704PvMM4aNMHYrtvyoq6s2lBwywediK2vhK6ju7fIDxLKmoX8rw71eyTPILB5/2cxtCmBG4S38/Eofssz/5Y1koR63WDVk8cZWKOmP7nhEH2sUDAMDFT84xf9LBLwzcZYBPjsj5osX2CzMMS4N2PZ127+uGLB8zxrnICao+CDt35RgAWP1z6fsf/CuLyZvpkG5If4/RPXdoLg+oqD9z5S2qb2ZmbB7YqyrqS8rT+qIbkvoktcEvZJ+zZwGP/5T2f1pabM2bdUPWqhti0L8XEJtZbtvuPsGvGKtvS9nuAWH3QHVDprOmXGeSNNw9kLqWH4ma+bMPp7ohFx/fTDfk4+UrdEPui27I4kOX+2b7c2v82a/+Hn7jGz+V6/ng3jm+9/SwbsjDdsTjO6d4WOmGfDQ/vOw5ZLdjsDhg5CT+xGkNryI4AOBXLVxacoRVCzN4+JMO7YWmdDLCqoMdff4EAGzKOfq7isoUEZvtfXE+9mcJ8z9vMJ42Mt1PIazxtAUMoT+z6E9TfsOmxea+hdvI4GWfyuf2IcFfpOakafe4EmYmuUCDMZEiNWvC5ouyLh9P5Rq2DwwoOPg5oXWEYaX5FC22dy2GM7qSfTqeEMZqOUrBYjyR/caTFEk4cIz0ozyImw8iXD0IUWmzZla272+wWS3QvDAYT/WOBpoLIzwQuzIlV9s+JIzr0g8AMJ4xmotUdjIdWOvy5oIwe+6w+0pSmD+Re2K3brE43SEmhur7iVvSmYjGSuUfX6wwDBa7bYMf/9JT/ODJB7lt/fsB5s6A7U5CKtsPPE6/eIHLyxlWqx3O51VexYk4CoZ0j51+UX7c7Yd38Rf+yD/E32z+NADgC8sLfPXkMf7B6R/Gzz78dj7+w/U9RBC+vBDJsZ9afB87dng8nMJU4c1fe5pkdgwXYh/DOH3/Eg9Wa3yTvwB3Iffun/3q7+G/++D/xF+uYr4/f/J1/Oa9r8EQIzLhJ2ZP87Z77hJ/7+4fxS/e/f1c9p93e6Gv19itHSzYB0wILsbSIXY9gnYpuauxQD/Arl1xikaGvexBuwH20oGSE5Orc3QvZF+3CQAB81bkAPUGNzsPt/YwPoKSNKHb2MT43cAmFGVzPmDx1KA5lzq0rvljzo5Chdy6LcGnhLDZswi3LY46TuhODTvOnjm0FwF2MJI0lqIDbu0xe2lhB0K7ni44h52ZiPkungYMO4N2HTHs5IE6dAyAPHtafP9kugY2xcGp/o1hu8LsJaG9QE68AyQcPHsWi8RBRX7D1uSZhdtp+LjMLHRwUKvL3YbRPffovisDmuqVdjugXzbZV/F4LlOgmvzGrC3MQOh64NvDe7iTHJEUWAbTixlmT3Rwc7jcnsFtCJeLDosn9cyizCQB4DIpkL33ccSvfvPn8PxDoVJ4tDjD11cP0T9eTJTCxq1onSq57m+tvjIhv1HTpLB9rdPL9RnOFydYfKfMLH7jGz+Fv2w8/s7/+8fz8b995yv46OnZK7VOHz85xT97ULRRn/XfwnXt6LM42tGOdi07DhZHO9rRrmW3dhkCQ0CtllTR6nFjMtybVRdkL8mLWycIzvS5fw5ldDaDhEP9jIRlO7N7C4Rczp/OaQjcGISZxZgQkV0n37tO41mJ6WpBJZSXZth+TvDJIRjWlKf3FJMTkZGvy3cCBw8twQ4FwMVG2LrHJU0U0wFxGI6rMp0fL0zeT52Kh47R/pK/92DKVJx7ugzxZx5mcPCBig+GAWKCXxOa5OMJGhpmuXZd4qnfZDwp/hxfaCHzdWo5G0KYWfiV+qnkRNFZxFXI/WxXGh/m7AcYqUUMhLgxsCcjQkI3EotzMywjQvrthlNGvDtibB146TEMFeI31R0VxHd3TP3V4qv3nuC3z+UCFssd7i83+M7g8MG94kh8tpmDmXA3sW1/sHoJHw2e7uS4zkrbv7kQ9WemklvJqb7ZasDwYpUBgB/cO8fPn3wdv33nK7meP3nvIzBTZvd+uLjI286aHX4HwJ+4//1c9nX3I+DgRKzgcsAEpGWGkP+mMYJ8AA1+wsFJgxd8QvrcP4dNEF8BWAm82G1j/iHISwZqnYlqhgAYgm1M9reaPqDZRph+ittoNoxmD9wkbaO8Xc1tGc2lDC5aV7MVHAM7ATEpoa0ZA1wfEdcmw5TzqfdQrM02go3Jn1p26Bga5GZtLnElGkL7KeCNQ3NJaC5LoUZDmi0fjIY0ayr9oc2k4rPYz46sy92GYXcBzXki6vEaRSL4ShApDIpyBcKVaAih77rqvEBzLgOplrXnhNg2Eg0ZGrQVuMl7dWgn5GsadJo14+tPHiI+k4HlYmex2zWIz9qJmrlGQ1QA6GLXHYyGOPXd7EVDYttg11sszguO4ntPz/Cb976Gj6roBzNNoiHPNwUPP29HPH5yit+p+rn3108Bvr2DBYDXso7ubyN6/f5Xjk+fBgXsRVVCUL1PVj+7WSJOBj5ROWedaDQh7KWyb064MlQd9xqej0/LqtMfJOyl1L66v+KBsvokVF3vTZs/ja6muricMJdzGZBSVEH3nSSxaVs/YXcS8aRtxvDVc165XaXdxnC6dXmynxINA3htSr8Q9pYXj56HDIMjTSItn9Ru92DxOpbuQ2zctSbpG8+dPiOyIM1E66Pep9ZCvcGAUd6w5Zy1bkj+Xm9npJBtmo/mfZVt/B0OGFX3TVYksWwv+qFVe/fLqpnFRNv1pvcvTz+v8DXk8pKxqcQ4um+RI0D5vT/h87SvLxojXT1n9dvmY5D2RVkhX7kngAlL+r5FpnyO+rycyuKNR+ardrsHi/oNWquJ1bqmKdWbjZnsf11FMnaUkrBUvauq2yT4tvpHksbqtRTJmpKRmbVv2pKUVeuSGi/ficvxoUkJazYllGWWqpLI9k4UydppqjYTSp+kSwwzFgW36npkCSXnLzoj6cFkmqSH58+3VSRTfVFVB+MExNKxXgFGhBw6jSH5ogDwLCA2Nh8bs9ZpSSS7iSLZncUWL+YCHnFzj9Wix/N5OwFEMRMYRXv0zmIL5qLroSzcypnJhstASHxQkWw+H/ATs6eT8OjDxQWeb+YZZ3FvWdaUn1SR7BgNOdrRjnYtOw4WRzva0a5lt2MZwgBimJDfqOCQ5ou4L34BHCPMcgkEBiU0Zo5YMIMvy/Qqfvk+KAjsO/NqqtiyMVMfAAo8Oa+zNztBh6bvgKBFt19aws+EVAYAxpMG/ZlBey6kMuZeCX3Va+t8qUbrLWVZAJcAu5apqx1maDYebBu4rUd0yWu+GWH7DuMXaRL9YCN5FL6ABtHvDIbTJKycYd5GWKRS/eOplPcPl7r5qgNy/5Vi+arfIR1jB75CcqPXaJMkoS45xlUVIl0J4xMFWb5l3o+OER1h89CVdqmQD5Ljd698v13sWPY1PMlUpUAgX7hBxzNGc6fH2DQ4ebDGZZTfEhHgZQBGys5GezZgNhtx+aUzPGyGXLdrAloXAMuYtyVVXyUGtWzZyO+889NHsCwBp/Hr5k6P+XzAxYMGQ7pfHrYj7rlLqS/ZWbOb1Kv1AMAvPvg6+vA1fO2shE7/kb0+PdjtGCwO2V6aM/uQQ6l1OHQSIq3DqzsP9APMtsC9MYzJWRlgd8qtkEKd2yjhOe0RPWf6rnU1lx6ILj/0bu3RnVuBaRPBJI2RZs2vDW3uhzObBAPPIcwUjrWNyZ+63e4Cmkt7JVHN+BJWBIDuXNK7mzXDpy5oL6M8oMlpa5LGplt7CXFelPCi2n5YM3QGzYWEN+ttbsO5H/etqUK9et3tuclhQFMR7jAJdBzQRDKgOw9oU+i0DmP6iirAD1PmMN1HP2PboFmXa/MX4s9oEgS+fW7Q2xncxuBiOEH3pPg3/NYAsZyvtx02tsOdp4xvPrkP81zq3vUW/baBed7gsT0t15TykvrEbna+SMlrmymz0MkFDtruyQznc+GjUNatx3dO8ffu/lE8flLq+R1g8rfWAwB9+Bq+/fheFmUGgO14tc9eZbd3sLB78SJDEN50TIBWE/BVdUxsLawV+UFO+1IIGemiMoF2lBtlnBuQRwZbIZ0TwKSu0FmEuck0daEzGBeE2FkwAS45Ct8EmlLAFAABTaXyDI5KQK8ws7BjzO3l1gkorAZ9AVDpwBrcNG4IfiG8DLmuYITfIr2mMyjLGTCmQCm1fcDUeCfC9hZspvWxIYwXJnNn7F+79kfOOl1VQK+lcGISp1CyOnrnEu70M4PhNP12FUBKvwMAL69WPKb+jM4I4GpZHs7xBBiXXNpzGmHuDfCtQ3M6YOw15g3EZQC4SEXQ3QFkGX6xwB968BS/eyHTpdlqwNlyi0fhDO9X2Z0v14J3OEvJbupkrEWKgakAUG3m3oD5osd6c5Idsg8fnOMX7/7+JNfjT9z//gRHUTszv3b2fYzB4qfvfzeX/Y67/szi6LM42tGOdi07DhZHO9rRrmW3dxnCe06yyKUsVhR6+j3GyTGUaPYErl3R4gEAcxHMSZ/Gc/53sI70acYIMxbyWRMYdmAYdaKmTzsU0lk1OxBi8h0Yz7ADVd+R69AySu2hvXbJ/pwdhlJxwnZUOAo7MMKQ2MPT0knsJFEAAAFJSURBVNSOZboPFFo3CoJXMANKW7RJe8tas6O8X71Nr3n/uvf7Q6/b9qX+6KZLH6dK7IZgE9Wd7ZXAR4+n/B0Awv7SNbVV9/U7O7k2MwDWUe5H0xPGjYPZWoy2QbNTOCXA1goXZyobNg4w0v4nmyWQWMp72+CcGNhZnG8qf4H6KvY8w/U+2qZDFjYOW2LYXfFZnG9m+Fb/3uQc31+cXjmn2rebe3i+meO78zu5zMfrzxeIr4N2fMdGRB8DWAN48sNuy2dsD3C85j8Idpuv+ceZ+b3r7HgrBgsAIKLfZuaf+WG347O04zX/wbAflWs++iyOdrSjXcuOg8XRjna0a9ltGix+5YfdgB+CHa/5D4b9SFzzrfFZHO1oR7vddptmFkc72tFusR0Hi6Md7WjXsuNgcbSjHe1adhwsjna0o13LjoPF0Y52tGvZ/w9d3p6xIk1iNgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 38.916892766952515 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1e-05} is: \n",
      "[[2.000e-09 1.200e-09 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e-09 2.000e-09 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 2.000e-09 ... 2.000e-09 2.000e-09 2.000e-09]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 2.000e-09 ... 1.052e-07 1.052e-07 9.840e-08]\n",
      " [0.000e+00 0.000e+00 2.000e-09 ... 1.052e-07 1.052e-07 9.840e-08]\n",
      " [0.000e+00 0.000e+00 2.000e-09 ... 9.840e-08 9.840e-08 9.220e-08]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 39.015607833862305 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 0.0001} is: \n",
      "[[2.00000002e-07 1.20000000e-07 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e-07 2.00000002e-07 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000002e-07 ... 2.00000002e-07\n",
      "  2.00000002e-07 2.00000002e-07]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.00000002e-07 ... 1.05200001e-05\n",
      "  1.05200001e-05 9.84000008e-06]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000002e-07 ... 1.05200001e-05\n",
      "  1.05200001e-05 9.84000008e-06]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000002e-07 ... 9.84000008e-06\n",
      "  9.84000008e-06 9.22000008e-06]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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Ke5hqTEeOWZhy8Tp2IO3K56t8LaBT8d5+R2IiAOLjT+4kkIyuNgd/12lU6gOQd2D9Qw2xdLbKInU20Jk4bYwsjTFW3qmXkYwjnAHtpkCsKT6k9oyFqPeWCHS5hlyc5fECaNTB+P4jBW6l+Bupd90XBZJ9tCheFmadZz+oapwnoAbevF5JlTOmIA8OuTWL2ibv61pJHUgGYPa825cOjGFP448ur9SLVY+rPx57dDJwnuhEJzqK7oVkAeBacMg0gGrvWI7FLZftGzeEsNf9mTFzDLo6DXT2Bry1GcNL0IdUsCB7xkXrJ0za3xQ1azNxqUbJbWJu3xBKMqx4QKI79PeRlG1HzfgOrG3tgjaJJ4/ZjMZp3LwPXLsx1WsUIxArNWk6zvzJZZwijV3FKI/xuudHpJ1r3T69/muge8EsJEbI0DexIfEqpVBLqL0apGWAK8BsEmqjaEBXD86LkdRERNMzq7Dl3M8siXOij2J49NGeoY4cq6pD3BjpaDYrMRUmtlf5OfJNq2wKGTAFADGUmJI0BzpbKQCrmh+QsACLOdwXPv9i0BegIqbFOJjYPAxtuHiNQI3SenEmx2SadSpmV7+ZZ8NE3T3qZg24DQD4K1/ax2YY1Z6TmOwONrfaflCdJ26fmVOIeU4y64AnGq0rUJWOHBc70Ve/rF6pECGdLzaLyjZChsmYd6ra9APiag7a9GW8LqmvdZq+ib1GEjiLxpYR0LPt/hwA4Pu/AmFWz5jNF0A4n8NdlngemXm1WdjfvqxJ/NrnwNsxA8AAQP5pG8H9IroXzOIgHQpGsp+qYCXzdjReDzsmxgLaMjJubQ9CDe4KoXg5rM9qLBJMD4+QWPISyBiS54GQnV/Di0FT5qkAql0ZhTGhH4rnJSbbi/3eD2oBr9eIuAV9pbmSeYZs5xpHfakOSSyYeHGMpsbmYVAGNE1qE9VDcohZUCzxHjZvGDBJGwtjuCZQTczqX9tfDthUmnPyTi7q6dhVL5YZflMbbWb6kqc8JsYY8nUqbxUZo4oR9PSq6P5mxB7H4p4H9t3G1wWSTQMcbW4+BZARZQ8H7Qa4YSwennRcA/ZrvCEC7PrGS0NT290L6P4yi9r7YWSLVHk4Wq9HZflNWAzDYeQ+uZIkMJUsKi/HdldJFqXP7CHx1U4965J3o/Lve/9ib0XyVADqoTDJgtLDYh6WqWSBqNLVngRgD2n98o5B4cyVhwIDt2qMPdBjekluIFlMd3aEoPMK+y8tullZD5OoakwHs6IWo6gnon6IzThokuENJQs7VmZd+yLNZ0CF2ZHVIsPSZeaBCSbDXOm2BuIZtB0Uv/G6JItrVAc5W0IcgUIVSDbrkmRRJad+gWQRzufgjYd0lbv7wJpdR/eKWTRRp5MHtsFdNGoEDksWCYtR2zyk7/f1uJtKFobPqCQE1R1VV5Wx8rffpWQxlQCMUdWp72znPBDunb9aZjDbtWvsQ913Ta9JspAJ9oIMolzbaibr04zndUsWz6+yi5eMIeoAitSTwV6JEW97xUbctWThuLh4bQwh3kyyGBVnIv52ksXJG3KiE53oKLpXksULQ9QX84y7MAyF/pB2dZJmN8oiK3FJovveu1kfDR9+1F7c7CCW/CaEYv2vr9X5Zkcj7zUatR9AJOD33tHu3n+0v2tMkt9Ivbu4oVwXSAFd+1xfklRFq2UD5d1LpgvorslUrPMAMPTNsWZ7oXceADEeh324RfIbqfJU2ry5CrM3j8W1SWPOloiP0j27JvmNHPJWVR4ZmSa/6fsGT+FWyyIhBG7nmBCYGfhnIQIXZ8Cjj+4++U1SU+XirBh6v/MBsPYZI6OTeEHyG5fwH828jveY3Ctm8dopSnGtAq/HlXQwnXqBnNMNFv+V6Rj3bJ3QFihrUv8O6MtwA5H0tVMUCKdPxOvdgXdIUqtACfV54CD9pKTivOGEQbrZ3fKaIc3pls/o/VJDrvMb14cce3MO9RFCWbBXpXjNON/UA3STOUyljkNSyD0ije2gfVvJmyROhuA6R8bUBnWHWdavo5vYGPboFcd7PyQLAsCuKU/Hq1Vxo6EYfuIHjzRxjYmD3quBqo49ANRAaYlpEtWqh/va9+mXQaHAspiBxqAJUQDg2aWKfrEEl1HXQXa9GpGqWA5aLfILaElk+Af/XGNoAgB0PlunedMXa/kYIEuNJfGfXGq/F6tsjKJhzEYp2uwgy7kaAifZnKTzjQWe1lvFCwxjntfBcwBIStojP/JDoKGFOWeLenpxwsLDbUfQENqozSGAh1DuQ22kXHTZ8m/niEi+Vt2PpL6snYYAPHmO+K//K7rGtoZjROyK+7Wx8qex8hBBUSNiw9LDP0nGTBGEpXo0fMI2RGbEVZfnxes2qYzOMcVlrPT++w+e4urf+QvoLnVdoyPEGcNvAsZFmRPbeZ15Q5L6FwQQIM7078WHVQ5UWz4CAhFix/BPd1mN2PzbfwG7dx3mT8r9CguG20R9p6Rcx/pz24BQjSs+OR5ncb+3mBOd6ET3hu6HZHFTqpOpStQdagouMlBWuEYtsB02ZRWiYVSXmRkgDYYbK/05BAU1oYIcp3DxLOkYnHhXwuhztKYIaDT/ehX6HgXozSWcrpV0Zho1cMhwTDlvxHDACBwn+mw/aNs4FlvKoXMAREvVthnaPpjymC1i0iWJgIZKpYsoUadGNbR6KFGUee2GsYRTjy2Wo26nUYFvvEluacMoBEk7swHt0jo7zhehMYKGqOA0orwrUxAwEaTjLMWQjOpKHiPgQ85aBQAyVFnCUFzOtBvgr0JObceeEUcHtx5AY2VwtxQAlsW9Y+3DzGlp7LxL94dZxwEAjkBjBHsGb/sssXaXI8QT/LpIFtxHuF1UMSC2kgVFAe8CXJXv4iY2tk8ns6jxBMRFxzU6ZgEqXbTRT2trteMUpTeBGR9BwgSS6hp53PvfhW0caFMDOtab2YwrgZeOHskNabqWVT7L/TWrcAcsgKFaJ0AfIdmf+23HVn0K6b+8GjlvSHkptUJa8vowlXwSKC+veVHoGg/Py8dVX5vK3/UyxBY7YmoCSFUme1Ty+Fx5fq693wyIA5of03WFCMRtJnA6mAr5eLq/zGKaKLYGEnmvOTOBlM3K7dV5yAjIA7kmAEAWCTFpNovVQndry3Ox2SLnETDAkmN14c66nM+AAMj5qoRtW6j7+VKlBZsLVP823ZzXff5OQ0A40/H4lGdSVnPQegeZuQYNSCGU608zUHe+yVVAKV9DgyY8cA4AULIXje8sW5sFKhuDYYFWHm49gnuX4wxIks2iD3lHrMPX49l8zz4hZ7OcXLaOVwDQtHMfwDGif1dd66b38xARZhVz9cZEygvCgwOJHjuuHOY5bF4QzjqEWUGLSrfAeObBQ1T7wFVZq5iuw70eO57pui36EesvdZg/NYmBEGaM7sphWJWxuSFJcGmMYUaAABzS+qR2TuUihahBcw7vzBE7wuyJz+u4/uIMm88xltUajAuC31Q2Cd+ymW4TMSyreJGuZewvovvLLIDGwLkf95EWNSa//lSaMM9H7S+v+shirkGhk0icHzTzzDRitWg2JaBiDim7Uu4vian9uGfgJFNrAL1eFZ/BfSjXBIqIPwZNxkJVX6aaTI2VIs0DRimbFg1jUXkOnFOPm7dDC0EmyshaqXZP7kOTRdqYRaOaZBVFk67sQZtjzA8+T1TFup2GAPQDeJvWNon3FNR4aV7jzCy47NQ8iqoiUeCYyhiCiuSQYrSkIcKna/PEwElDa+DML04/oFvHrArEjkEj9O8adDqq9ywzupFAAUUN8frFmFGdsFeY4HtlYLwuOInuKiLMCX5dPdeB4CsDZ+wqySKogZOqR4DC5L15Ad1fZsFVsBMwkSxcm4NzHEu+TEDFYyGFbjtXINw1GMl2VBOPZ52Kg4skMVw59STUL6l32ROSJYt+0OxKlmbNvDczXyQj22Cdy1Z1ro6lGBGWnWYySlmP4szrMVX+RQDqOZl1mpl6Ks5PJAuMQduIsgRx6BwApd7nomvsP1J5Q8xmERYOzhPEMeLcJAsB9Qyuxd4KEBXnHuRbbwiigC3xzFSyqNqZGTTrEJa2NpVkMefywlkWKl8Ym9tF0MjgUTBcOHBfMqSFhUdYMLhPa0CUJAtWyaIaz3WShZ916M8ZNNrYCOOcAHiMlWTBY/J6pE7DnDQbgo09Heov0/PjuXiPHIHSi89DlxnXcO6we8ioH9Ew1yxhkrTEUDk7KCZBs5IsmlIBL6GTN+REJzrRUXQvJAsiBnUesqvEWlJzjFVgGt//IP8mfV/UkISnQAiaCg8AxoDw6CNcl/IOAPAs4RkSdJs2W/U0XKUdznZckWKwE1EchaUBBDR93uVVTqOXK5N9+GQveKgx8tVBSQD4Sdq903V5rfU7KF2XQglqou0OePTxgUA1alKmWdh8DT0+dA6AXMSp+/aBKld1DlEgR4c2UZ9JxZLFvM2+nebqprUtAOCjx/k+umsS9roUbBZ3OyxszQ1qH6XU36j7NWkMUDUuqYNz74rkGATuUu9HjtL86Ak6y/L+koS9nUUdX63xLlf5Ook0QnUY28zjlvncok6dK1nbRRDOFfpu3hDh4qUBA/yhPnd1wt6Hl5/HxbIDb6soU0d7amT+ut7mADgjd3UYXn6I7gWzOEhVxmMAaELWrVIYkhEvRG3L+Q3x0oS9hrXPN9ASnNZhxWYkNcbkj0/Yi3mp9CSNpfwAs7AHzHIyohLVLdFrnX/CO2A+v5OEvbJatPaf2jtj4CxO4f/9WNqiqh21ETc/tNVLART1yy2XN0rYG88X+fqAMj7pHGB6d1b3uAkB5+0AECHOfRsazoTYObiUxt+tFrdK2Du+u4Rbu3ztOHNwm2FSCkDtJvYsxLkv2b2BDJQy46R4AvVFDek2K0wT9g4PlxgedI0hFpSYhXlbKibsOvfpT9gL4FoD5bVp9dJDLyPKg1VjJ156vepBTh4GxVmYMVSrk1EVI0AixzufKmMmxbIz511xUjdE7BwzkAIHkZA1PuNOyHbAeh6JqWWjrkfOmk31cSGq8XecjNsYXIXJuA1lHd5MDMYkskG1xLkYg6cxKiOTCKYAMWNmjBDP4Ch73p8bjyvEylAYk/Gyxf5QSOOwtUzMg1LYQLZlJaOxDCjnXwPTphDBg4ArSWKaC0Reo6Xh/jCLl1ETDFUiGEEJlDWJdHxZ3ZBSNiDVudhNxDHDONSxKiRH1w1BVduk7Jph4i+3rDrJTSZSpblLv01yRmYmdEflC3m6DtNM2kCJuB1DVd9ECtMz6ab+bag8PSYZ3LR84bbfO5aGyhBuL2JtEI4RtBtUdRodME+G7TGCxljg5IBC929RN8Q927V1Q1JKPtdfr4ZQUkOEFZxlQm8GgrkyLrgIulzvqSHucqcMp1JDwIlBHsjubWrIqXzhiU50ojul+ytZvKjIEDvUJQWzDaEyxL3UZtElndOMdFZtvSrHJ97pjm/nMR9vs5h1Bw1vWQ2pU90hGTbrXd/+Fk7h2ybCJ//XXdksFvOJrahCdFboQkS0RjzDpHhXCvxUmBXbQfP5APiGNgtZzpvzEdW2k/u167l2nc3oK/PyjIgTwCWbRTqfb2mzCA8X4GSzgCN1925cE9iWpdTKJZxtFgLEZLOwqYlncOWypvN9m8V4PsfwYAa/rqRJVgxMlsiqtHqfCZvFwezel1qqLlp27xyFuoBst0Xs7zr93nWIT0shIn7nob6Q3udUeDlxDVDSyFlE6WKuAKv08MdPngBd16oYXafeGTNIAppSbbkArtYqgq5S1awx7MVhwPvyMm93Tf5LEn0RYor+5PMz9eQYMtXWZrsFLRbAw/M2HoaogS4DKNGmVlUbSXyu6o7aQ8/JsCkxNuXvAFRp2FL7fAba9Wo/qVPXj0G9TNNoWwC8mJe1trk8PC/jcC7HM6Cy6AuReg3OV1WsTRunka9vL8YoVexOLMcGBn/8tMxrMQN7B7pMEc2fe4C48KBRcS9m+ERErhpmqkFcdJDOwZ2p0TUzLKiniKQYM/UESfeo2iAq+4LbJC/aJ1d7awcA4XPnSZVathupeaasz44r5k7NhrT56hm6yxFhXjGXP/ysIDivoTo5r32viyXrD/bkVVQtak64aw3gPOn3AAAgAElEQVSzTh8w2zG4SvdfXcsYRQ4ZH1hvel1SD4DMuyb/IYAmhFw9B+k7U4Gfm/chJZc1AFpmMi5laOp8i+oEmhB4nW/yrkglMdluxqW/vDYiGip/Ddw7d7vodIOchKhjCIrKxD7V62HzjgvfQsAP6NniGRgJNAbEtEYlXLzdvafj1GNCPjauOtBlQSnJcgZxDpwM43HhEZYelODeNLPylYLoGSSl0llcet3F14ThovQZO0b0BO8Y47IKUU+oU4NfX5ewl9czHKKw9IiOFGRmksXKY/fQAbFKw7BwcPWaVM/DuGAgeoQalHUDQ8T9ZRZ7CVuqWJEalWnf6yrqSEwkUokdAVojVRXbAegOS6jES+eK6FlfyxiFHWfxJJb122JDEiK0oRphmdCVgO6eMk/jyQjQhAqdMrG+V5fuvGvStoGocVsC6i2IM5+iKyt1oXZj2guRmIoygnbtp+jKcJakEebmN2ZuPSQ11euRmUVXGHKdz4IAzoxFDX1uCDmHRI2mjFVcxKE4Bx7KseOZh6/ym5h0wDttC0uPceXAA2vMSKWO6d+A2+m4hpUHGHAbh/6CQQmaGTtSiDVTi+C02JAEvw7p0w2T2I1nh/NLjCuX+7Uo4PHcYfeA4YaydsOS26TiFdx7OGMIA2MdG3JCcJ7oRCd63XR/JYtp0ldzGTpNjmt2BLMpyOQcGRTVKcNQMl1VqdmtClXWo4EcFGbn532luhbtenXXGaZj16ubbbvLRiUAoOfrm9kskp4f0/X5cq19mu0j/S79AKy34MruoBdU1CJNbBY8eO077YgWZZuNmEMl6YjAfXK1Z7NojKZQUdlsFvVvNAZgu2tdjvZbVaDH5u2BYhD2LkdaNihEouz+9I9bUBeFkL9rHwf2vspm4a46vS+JXDLQms2i6xzclYKl4tyDkx2BROA9K0DOkvuuO0TP4HWPs/+PMxJSvALCeDuiW1SgrIwRMaNlUkMmeVius1nM07lc5aLwa4Jfz9A9K+7u+dxpgFyiui7IcKEArjDfj4Y9hu4vs5iqIXUVpcr70ISib3fVMTN9+WuvRFVDg1YJDWjM4XyVg8IAAJdXpRBRdS0sF3oDTI1hRrxYatRkil4FALlYvTCEPIePA8AwQsxQ9ux5GQ9QCvrk0osBtFogPliV5ChAym3Q6vC8HVRd6cds+OTdoA+sQU+SsYuhL3R496yJJgUOqyHuqgP3oVVDemUejRchkZwty3qkeY/vrvLLErti4BRHBZzkNKDKXe0QLlKI+o3UkJiPHc88FlUBnnA+h3QOPqlH/edWqoaMgnHF6J4Zs0hqSBQ4CyRLasH8Y8b6yzPMn7ZqiF/HI9WQ9mVdXpOLZfvFpfa7Kfc8LAjrzzmsPq4YwpLR1cdUasjuIWP+zGFY0cHfX0b3ilnURYb2JIthUFDKOAI9v1yy2O5KSQGLDakfYmNGN5QscLXW3Tt7J3bKKHa92g0SwyIrNFPT65QsrOhNTc41Own1gwKEarRoAhyV7FKJeV2uISJwjt+cZFGlAHD1NYiKR8UlO8iuL8bQO5IsZp7RzTtgjOgWvnhDRMsIZOAcAHelxmT/ZIOzKHcuWSwluVBrqWHubiRZzJ55+KsxRwoDyMzvGLpXzOJ1U86gldLdE8kegvFWfdaUK4ElA+zbykh9KPtUHlOLm9BAsMl5RDl4722RFf7VkOzqxa8RmXc9BkpGb6aSQUsUk4Gx8tTwvqv6rseV6QZGyaaP9KzKLR/Re8Us6iJD02IrqlaMcO+9i/DR4yJFWFGbENuoUiYA6o6zkoL83jsJix9zFu7s509l93I+inGsYjPKtWS1hObGrIrmDmO2WdDFuZ7y+MnhCM+q/zoSlJJEYpJJBLI0hRgLIGrQcdKsayWLlBqwYWZRc082GcJ2vXqKptDrs6Xuco+fZAmvXctqHgn7YRG7ue8XlC+s4ek5PqLut09jF9Ex1XMTUfXwoyfteVHa8nwvKV/I3kGuimSBdSoQlXA43HnQVmH6vCvlC5v6q5YkyKlXTBadRuoeKF/ILyhfeG2RoSrDfU3OnpXlLMd7+A8ew308a8oXYlK+sL4//N4D8G5Q+4ut2Xi8ZHHyhpzoRCc6iu6HZEEA2CFeFX2NLy4a5GFM3H/87vvwX/tqRmDSfAbZbFTyyMFcosbMQe0CtpOF9x+V/n/wz+n5KchIzpcNFNZ9+ETDzEXKrpGAUjKvMmU9X2uND9uhH+vuF/7VH9gzFIZZyVnpL3sEy185RIznCsaZfecTnefnL+Aud4oz6MeMQ3CXW8SLJQIzeNcaEuO8ywZLAHDPtojzDrwbEBOOg3dDo2oEa//2IwiA3Te/nrNB5X6TEdHE1/HcwV8GuF3MlnUSNSLybixp6qr0euP5PK+HzVuYtM4IkoGzorqdhwD30XOsv/Xn0zwTXLyXXG8DqIx1TQ5OjezkQTCcMVbvl114PPMIc8L8Y20LC4fx3OV+/WW5f3uZss51vKs/vcIHf+VrmD8xQy0hzAjdVcRwVnkdemnGGGcABGATUNObeP4dy9uKrCoK6ZzDjDF/PGj2bgCP/+L3Y/NFwvJRuaPDitCty98VXgtCQHclGM7K+ozfPp4F3A9mcQzV4lqKFcjf6xT6+fiQyglWId11H1VUJwlpct2JITB/VunhMI6KuLQHchybtPx2Le5DMciZ2E1URLmxlB2gkIrz1AjTISZ1JzYlCqyNJOx5W7i6PgBgGPV69pm+T8+x9QJSjsZhIsZOYlzEEdwQ8wudDx2Cpt2v1wvQ0OwhFGOjvdMoIdlTcbxu17Uc4VMOzpBsUMoIapHavohmvQbAOwEHAY3JJZtVS8DtAgCXQ7xpo/PlISKOWiioLI/dV1MnEsPaDfBrgd8kb8cIUID+XcUi8aAQcDZvyKh2o8wQDP9nOSxqZsEABwIPAr8p96dbC8bnyNe2eXXV37F+w0UT9jZrdoN0ASc15EQnOtFR9OmRLKZkrk/zQBBV2Iy4L2lc20/lzQAK+7T6HLEYJW9a70KmfdZUtxGlOg9og4+Ytd1iUupj7zIBTm20rNYmB0Elj4pUgVG5iA9QvAjZqGc4l0n/NyzQu1+/JBVTnnQjrlpHFoild3Cty1JIE9vKq3qwqP1+MN6CAKkPpPZYU/Hyp+csiVnC3kMkTCUiuRqLJeytPR/X9XEsnSSLE53oREfR/ZYsmixN1XdXuYesmhgzcgg1oHkcaCyfmOwgFsSVAqssL4LUUsS0XyLA+7YAsU/fLZDMjKkzt4fJkLnLhjwaYjFGDoDMGBIrF1nHkIFyaHTJf6ltkdwep98zcPZeDZzpN2B/d8jtKQo1LBy4r9cdCF11bShyEKKIxoygjAIHaASwpQGorqbFgtL32phpOSmnEaN1OxOo07T92pdJOtyUAjB0pDQ7NoODQAbBOGfMrOgO67lhzlnaCHPGuGJwT3qNWMaUDZxJkjJ0Zpx3GFYE16c+Ok3Hz4EbpCQPhgS150P/zlkcnd0PMyZTMZozQbyiSHkXc3LjYUUYzgG/qQyWy7IGer12WYW5MXC+sahTIvoTAM+hb9MoIt8iovcA/M8A/jyAPwHwsyLyyS36bqTLjEkAEkingGNA+6Adizato07rl7eECHNmFoixwKUTs6hLxwlThmnXsG2ZVchMq78xO/Ayd648dB3nF4Sj5Beyy8zCAZyg2WOVgJYoowSnOA6ZuwadxzMPmTtNbJvaD51j8wD0hZmCduoHGNBQZxqBECRXBMu1P0eXQ9yb5DcdF3tnXUk8LVKdY0EHX7Uz4CpmYS+cY8E4LyK6tUsS8fP4heBYEOaUoyyJKXkYKI8nLByGJcM5QZhRU4wnzO2a6UVNkZsydxjPCOPWxpCYxYiGWbi+HWOcQ70hg36a1yJXWGu8IYRxQamgkMvP/rAijGeC8bJiFmcoyDJJXpdExhiG8+o9OD73zWtRQ/6SiHxTRL6V/v5FAL8rIt8A8Lvp7xOd6ESfcroLNeRnAPxk+v7rAP5XAH/zpp2I4fBtp51UB8/GsTGo228ShyF9n+JIqNQfrfrgTcJpjIrl4HXfuhiTy7SOk6AQge1ODXfWvt3prmwIzHQtf9mXQC/bLIYItizO26HgEWKEv+KmvKGWqRNgO4JCAG0lj4G2o8ajTNygrvfgOv381Rau11qnzqpuHTjH1gsAZk+H/YpkO4tnSO7C0cHtAngbclIXrUgWmxoWtQvVXRW3Ze4/uUUBgK+pdcqp1imtt5g9SUlqqopk7qiKZKJlDKPLGAUKUXf2hcClMbtd0DU8otaprZt7tsXyw1XBWaSKZLPnEX5bBZIdWZGse56e1UlFsu4KqdbpkF2nq488QIzF4ypw7EpxFtdWJNtEDM/rADccTa/KLATAPyQiAfA/iMivAPiSiHw3/f4+gC/duveTzeJkszjZLD4bNgsAPyEi3yGiLwL4HSL6583ARCQxkj0iol8A8AsAsMDqFYdxohOd6K7plZiFiHwnfT4iot8E8GMAPiCir4jId4noKwAeXXPurwD4FQB4wO+93AM8RXCWjtLvdSIYPhrBqVWiEsIwVOhDAIdyQh6L4KQhloSyduygxky9bgRMBIyG2CzHUogqBth4rIhNSgbD474a8joQnLwLbWVtKlkFrUq525KK9UPM6e+sGrmO23otKgqPVeEfU0fGeCMEZ1YhLIp4jCmhb0JXjkka8VQhIgXcaxEgXhQpBEFzU4gr5/tNuB2Cc4OcZ4KCGlz9JkKqnCyqBhV4NwUCpz7r3d0qxMOh5O10aR4TBKffCLorgt9WyN+o7aaGcHW7KbwagvPWzIKIzgCwiDxP3/8KgP8KwG8B+HkAv5Q+/96t+rcEvFZkx3I1DtDs0kgybeeBIeXErCIMaTZrPgEArihoskzyWa+Zo8LZDNwHhGUSy5+wZm9CsfRL50EyhyxmJWfmGCBni2zbsOjR8XyW4dDGWGTGWaT3VwwxT8IQMVx0+pA9TerAaga37iGOwX1JjEshIC46fai37YsfF77xhvjUxtsRMeVWOHQOAPhPdD2Gh11O1KJjr70X2jYsGX7L8J5y8lcKAPcM74oaYvklSATjWZdftJypiSlBrve9IXW72wV0uwG7d3QA2RsyMMYF7ashXF5At9PjeBRsH3JOm0+RMZ45DEvK9ocwY/QXDNerN2RWJdbJ3pCdXqy/SN6rZwtsvkhZfQ0zVdPCjBqvA/fKLKyfsAAoEii03hu/LXEzxrTFEaLTc4UoQ8I3X2CsvyJNmPy4ArpLulYN6S7bccXDKT8P0qtIFl8C8JtJL/cA/o6I/H0i+j0Av0FEfw3AnwL42Vv1/iJ0X5WEpKkYdhNEYC1tcGlrkJFWRaq+1k0oJ/NJp9dCi0j528IIojQlCylIkS7s6Q8RJLjbvBN1jEodAl4JdJruvmqzOVT3o0nsYr+hIAlfeQ6Cxkhon/VuWSq5ARxQSTdSzr8hkvTQOPK16zHVAtpkjPY7ReUT2TyS51CqlCHI4RwWVR97bel7bQS4bR4Lo1szCxH5IwB/8UD7xwD+8k36OlRFXY2YY6mi/sGH5RrbXXkgd73mVlhvtRALAMSI+MGHkBBBm032gtT5LvwnlzZgwDH8JlUtv0qGz84rnqOuFA4gfvQY5Dhn4Y79AHr2PGe4snwUFj0KVJZ5ooyjQIzZmAkilSiqwsj+ecq4tRnU02BZm8xz8+hxVh3ykrGDrzJOSd/DsQNi0E/g4DkAEJ9rOr/VH120L8+Bwsgrg3PfoDDybDdmZpELI3/45OgiQ7LZ4MKMoHWN2FcojNxdDm1h5I+e3bzI0JPn+FL3tdzHqxdGTv1PCyN/8AzTIkP++edvVhj5qt8rMvRnz0/lC090ohO9Zrq/cG9usz7lehoxgBbzkmNiPtMcjfNZY4iksxXQD5pRyo6tEvrKRZJCLLflag4aQt4NeJ1ySQAlp2TnwednWgPDKnldriHnK/ClZjgyiXD8/EXGUeRrdpx3XV4PpVhOiAgrzZ1hEsX4YAHejWqzGELegXg9IK46uC+8ezAhcJzgLNSmMzbJgafnAMhlDfsvT8ZNlA2bNoZx6eC2ms8iu04FJfO0qRuxfFrxHlsH/XwvGzKnSYHrdu4D+JPn2HxFs5CZDYVHUTvFAZuF2QC0yvgCFLRehl8n21IQhKVDmBHmnyQ36KLDeHYczmI803VbfNvj6Q8tMH86y2MIM6C7mmc3po5V18WKDBnOQiupI7szVx8WO5fZjsQBYfXeHs7i+deX2HyesXhc7vk4J3QbKTaLKiGv6xeKs6jqhoQ/OR7CeX+ZxZRqhb9OG2Z6cQgAkmhIlMsFCLBf4RwoqcgkpUxbqxqSl9HsE43eLTmJLlVqB6GoH3Ytd7krfeSUeJRRMBRE/wYUzrzuGy8E70bVf7djqrJd2RGG+PJSA0BJClyVPzx0DoCsRvknu+Za4igzYcNCuJRXgrcDaEzMJsQsvk/VEIoCdzVk/dk8C3XZgWlS4LqdxgBZbzF7WkR9/SKpZmirhkTPhaH0UUsDEkCjz/o9DxEcBJwMqADgH1/BXWnCXnguFc1RVKdcCuCqJD9affgQ3WUCjDlGWDC6q7ZMII2S0vOZ2sE5xwYIGcBlCXdix9n7EzvC/NFaEwFf7fLzv/xoDgoes0qVEFYDqKSyhnURoW49gncB8zokYLKhvYjuL7OImlz3oE2mrnsBJCbgGkNkU9Yw7GtbufzgGPQmzhTolRPVAEUXzkhELi9kVRjXMmgBKIyhc029TgCAL7o0tmPJRh31JQOrjQLQF4K2Y04Um1P5DwME7qXlEQGzIXh19ValEvfOQfE2hYXPyWB07MVWYUwjzHW3lypGx9yEdf3O0okWmS6I1nROVSpxr/Rg3T4E0HaXmVVmBCEiegK54jK1cWZQFgNx4fKLyjY21n6Ei+EvLmZa4jCVZeQ6lqgqmQggV0ejyw7jkjUmBmprCDMGBdeUCeRBDaom/ZhERDF5ixba7teVjah6bMPZTKWdqnbJuGKMywIIA9RTJPkRoIZZiOvgOs72Eb3G8VbP+8ssXkShYCcoqsdCJjU2JShc2z6nRCaOV/U+qDIwZs9IzZRSOnsByrXGUdWcseoPavwzqSTXL40RGE31CM24uNe/bVfnIej3UbQ9T0y0nuhu2JMSqPamAKqGpTFnr8ChcwDEXKB3aMZFzBDbfXy1NgkjkZcntYkvRrwC7xbdwSb3gTZ9gdOPhyULjEmyGAN4l8o2WO3ZKFr4JwtwhuwsVdS5yujlgawnUohwqS9jjrzt05pHwIdWshhaySIHzu0G+KuY1RvxBBoFft3iVTioZBG9BcMVF3PtsTApJ6ZsZAAggeCuerBn8LbPG5O/DJh5ytcGANcTeBdxqIq636hk4Sppgm7gCbo/zOKaQcuBFz1nvAbybkcJrARA3YtHSxapDys0bJb+MFQMycAzcjPJYpKsRSrJgrbVjQzJqi+cvR7CqToXszKK7EUR3TnvULJoMj4T5QfcOFac664rUnZ5ANpG7cMPqGQVPWeAUK6dcVPJYp48VUmCoDHBzU2grGwrOYkMlxc4zB2ceRuYsrqSPRS3lSxWDA6p3StUnKStKWqShY0xpGMoavu4MDWkMLwoBv2+RrI4c+jPOYO3tF+G85S9IVnaAhD9q0kWJ2/IiU50oqPo/kgWU5JWbK1rWTSVxcZRxa1xVI+IHbPdtarIpA/aJIOkiPqvza9vEkKqt0GpBigA7Wu7VVUlRWlKPyi0PFcySxGMl9tyXlWYpiTpjcUHTqTXDzEfy+tU62QY0ADPRFTFeXoJmWAmwK4xFErfA+z0OC7epOk5tl4A4D5Zt6qX47zDmkTgrtIc+hGUkaWSbC+uQZvab6p2pS5ToBo/fp5xC3QNzoIqnIX/ZJM6MLEhSWRTE0lXJDgeYlYnrFq6jinC7bT8otU0dY+fgS+Pw1nwZerr6SWWHzyEu0rHesVZ8HpAVxs48/pYMFwyzBrOIh3r0liaEo6e4T98voezWK5m8JtZ47WxjOlm4KwlB7ce9nAWnw0D5yShjYnPEqFMwXTvrlOdvKtjcSm7VxvXaV3ecDnXQw0YY2n+LcX/dqdw7ypsHJ0HLRatGrLeat1UK7ScHqZ4sXyhgZMmBs64ULg3JzVExeEIgVO7DJUXNM478MPzYnexOXU+qxUAQOutqiHDWNSNA+doe0qH/+6q0bVrA2cW12dObQG7Mbs8SVCygtsDmtQ/iVpoOK+HqRxyUTKgT9SQup2GAAIwvLvU61cGztBx8bLUaoiF0w8Rru9AUTAufbYJqFrCiDNG8S4+aNWQdWWzyGpI8lAkNcSLYPPlObrnRUUKc4a/8gcNnNkbYiHqQFJDtH3xuMyBBzOaMkAPVA15ustMePPlBTbvOiyelrULHcHvYs7TWhs43W4Otw2NGhL/3+OVi3vBLCRGyNDnKucSBTFVZjJkodURoflca4akOiKYR6AfIMSIjwtq0n3h81rhfD4DNroj0WqZLlgZLodR1bsUW5IDyR59DMyVoZRrzYGH5/pSWmi3c4gPVlp7FMjFlAOzputHMYZFcmXHixGREuZiVClDAEVmAnBfeFdrksw7rW0yLzsZPzxHeO/8YAHjGq/g5x3iwoN2IT/shmbM5yQ7gDdDZ+fAaPut62UC6vbjIUlGJnWQMnT3bFuYc00Xq1znxMLi+y+cZdxCXeBYCMVtOGNwH+FnPseU5DomfXteXUMk9xUJ49KB+4iwIMw/2FW/qiRqUsH2yysM5ww3aAaw7rJsQHGm3guLDRnO1JOy4ncau0GYMUIHUGT0dd2QtCSWX8K8IjwpjFwbKzPtIq6+b47YEbqHPp/TnzH6h5QlNR0XIV7ZdSlfBwCGrxC6y0lh5ANrdh3dC2ZxkF5kpY21N6RElx6sLRKqdldcrnmHNQllGHUHrksKJpG9vpZmhQ7FeBmjWs/rOiPQaMQXRoVOIkFzgJepCSmSlZjKJ1SNoGFs6pIAKr00dUkArU0yhKJiIWEfKtdzU/JPBLwb95jQ9F54T+W46jfuQ17HKdXrYVd0267MQVwZl0GWAXCKWEWQDIWuI0BjJQXFcX+XrKuog6kpzCQdg6LLbX4bVPxP5xjDUhenei+MuQkj1yHpriL8Ol1nELhURb0dR8KWvKSKunl8puQ3HWQQuG3Mkt/sStPtza5q78b1VdSFWQsQ1TErN4g6PRk4T3SiEx1FJ2ZxohOd6Ci6v2rI6yAzkmavA2PPdH7jPmn/k6vfDlTyviuSyvZwbSEj5j1ZUxwBsUDNgYTreMWluRXxZB0jJfEeuV3qNb5DqosY1VgNAkrOCVtyQlO06E2QFXwSf7ydoTm/mDJuRfeXWRwCi2QXZMmrWefaPJin03J0Tih7AUzn7rzaE6ydKLsV62uJYz3WrPeONW5gUrXMcl/WVOfItPyYQHpHUhKaHEqe8npK59UFZl4OdpDOq+vtBTk+AbXcx47BscRrSIwK9EpVrPI8EkQ6zv3e2k/zY45LpxmdmPbyabre75UbmK6HzbvO95kT4qR+8nme4BiQrcO4tDILyVjr6KUGTuufHWFccb62jkONpry28WgOTtdHjHMCL8zTowZPqrKmjUtGdISZJwxnnG0PZuAEcJSBM0xsFvP54VdyXDGiB0hKiYL+jDFcEPoqMfBwRk0ynNrAOa5SiYK3lIPzzqipE5L+zt/rWiBVfZDm5bG4BasrMiV7+QyDMfOKmLR6IK5gFpprcarZYVgCZvXrW1k8G3eq11FTXdfDanoAavS0dstHEa0WSed1jMbEfGEWe8yoqksCAJzGJa7UKDEDp43N0JmWWyMs3d4uPs1iNS4ZPOpxzW+s8zpUWrFeD5t3XaMkVsxCiLLh1Nqdo+zyq2t42HfgsGXfOcnHDktuEhpr1GlpCwvNvCXMCHNCSIyGhFLfBJNM9TiNvRjOCS5lQA9zjTql2CbGjbluSPo7jZVLUfc8pkM0LrRfHhnM5pEhDBeAX1cej/MJo5/VzAKgkbS2SKKbMIuTzeJEJzrRUXRiFic60YmOonurhsgkzLkuOpQLCAGliFBPhwsRWREiINsgAEU35uOg4j31Q0mGk/rM39O1aBgVvBUKXoO3g55bBbO5Z9sXFgHKBYAAYBjzjbBiP3S1LQWN+iGDxaTvQest/LwrId+AhrdXRYyAlG9CEix7KPgP8Vyg1xWUnaKge7Lbw1nsFQAaOrirQZPSVL9xH0BX2xYmbXNPkb22DgAwq8LZ4y6pP3ECdd5psR3qR8w/SejWKhFNY7Po9ve+Gmfheq/3JZ8g8J3LbbNVB+4deBS4FaN7lqJcpUSJWrJcHhxiR3C7iNUHAfOnlodCgVB+HdFtJghOVLaKa3AW3ZMdDtFixtpvhaE4eySg4LD6uNyv4fn1OIvdljF/JhgqtYUPwzoO0r1lFlMjG1HKoBzjcQZOn3Rn7wqTYAKiRYXe0sCZcnPmjFqDojml84rdN1vAXRs4F74BZYFTBGVlnSdJ+SkqyLauTYnajYs0hrVX5OwbNHCOSwceCyqzTtjirLqYI/BA4LG7cwPnuHLZWNmfKWALACioPYRDSV4znDmEGeDX7o0YOIczTtXMOHszhiXdyMDZP1CP11ghOD8TBs4parCJ0TgGwTmOmrA3xBITEjkFl/CtEZyKDJUcXEVj0J17DACXfBJ3jeCkXYvMBEX1etTMoh/Vvmv1PABwP0IiZwSnwdQtk/kbR3CahJZeRAoC9lRS+5GiJGkId4/g3ASAVAoQBlyuBSKgwKBQJAtN1U/g/s0gOLt1h+hVsrAXnOLNEJxhxuiuZJL9/ODlDtL9ZRYvirO/iev0gNsUEm8tWWgJwxJZiV3i5BN8xV1LFnJA5JZu33UqXkX97Dodk+s0Z9pO65PUvDcpWcS5268l4tWDxVVwmBvUQ3LnrtM5Y1wynIsIHcFZ8Jjfd52GRcpCRXgzrtPlq7tOw6TE1I0AACAASURBVIIw9rd3nZ4MnCc60YmOonslWVi+CWLaE32tfof0fVOS8Do1RIaUdm6o+OHQ52NuHUjWD6X4UOqHdykVHZFGxOINBJJthzajFRRwVbeZeM39CLHkuWMEnGQDp9k9KBmE36gasvFZTaDAOZBMuBg4OVUT520Pv0kSyV2pISniU8sdAl2VJ4IHzSliJQejJ7DXRMTdVXf3asil16jTy1Ayt3l/IzUEYMwuY05LCAD8mVBDpnRInXjh4aT6O1WgLGJdnUMgrWPJOc3rUEODPSs4i6mUWbz9FY4jomZNNO9ki1YVz5pDI3IRTZ1WiqekrGYbh3PIsv8bpJL+Ls1HdNy2cQhTQcneNVHJhRFmxchKAuwlkyGkFHpvYFyw9dH1qlWvm1Ds0vzqQOMbnP/pYRY3LR34onPkBux0Sskb05ZP1E+KOKiv3xk1yYQJxNJeP6bx1qUEIpRRTEoJ2nFvi7QkY0q+G0oYNYnCrZuC1Xc6Dh0DV4mA69KLdflBq/vxpsYlibM2hatvQvacVnUMb7IFn2wWJzrRiY6i+ytZTL0hzpX4kGO9ISEWvAU0a9Ir4yxmnYrFlsdw0BgP6b26+dhiBO4YZzH3beIaTt6QCk/hRBAXHZg5ez1o0HoftmsGq67e+TfuDQmLYrMI8xTLk9LX1ynxeWTQ7g3gLJYOw5mD6yP6c26KPscZJReqNg1nrJXWF/4N4SwcolNpxtSIm3pDhgcEDpOYlZM35EQnOtHrpnslWfByAUDh1TKxqJP3kHGEe+9dxE+eZGg39b2Cr/q+OSdDtMcxeyjonQcZ2CUfaa5LK65D63VTMT1utiDL4F1di1cLIEopHDQGMAC6XKux80zzfPK3H2FasZyr7NvS9+Cqsrn/JNXKTDlHKQat0O4YMdVBAaDlEoc+58zM800GQlcbgmMEr33rvekHnaOl/zOJJUW3zv74UalgbjQxLs4sCfKkwjxCULj69HwA/PQyr4fNe759J3tTOqdGWIqGDalsQlCj5/IPHrXjmVz/UG6JXB0tpGTMT56Xac1nKiUm6P8yfA6LTrNuL1ZdzvpNFtYfQpN02Kqyf+7/vgJtUvgos0Y81/VlgVL8ye5jVc29Ge+zq705AIBbvwOQGlQNY3P+B1cI53MtlWlrMPOa/d3+riTN3RfP4K/Gpu2PN8fbgu4Vsygp9w8YcFJpgINFhw5RbB82bYttxa7bUJQMYLL+yUotJrQh8Aa8IenaRrV4WtpEvQr1eKOo10Mm6xPegoEzSjuHpiRl+/3WRr0bjQfZCNiM59C47JjxzRheEQFwetZeYS1I5NbP5v1gFgSAXc7oDQDunYdN6UGraxE+eAT/9R8oFdGXC8jVGrRcgK42pcv5DLLZaJX1VKw4fvBh/l1+5IcAALzRALDxnSV4O+RYie7bH0NWCyBEcJJMZDHX5DHLWT7OfXKF8O4ZnGO9CY+fAAB23/x6LiBsFBYuIxVnT4ecn4F3AcND7W/1RxcAtJq5f7JDWHi4zZBtC+6TNcK7K83CPfHJx7lv8iF0T7SKF+/GnMX70DkAVKIA8OzHvlYS1SayallG/YX66/0mNr/5rZbx491EshBgeDjL62HztkAsYJL8Bmja3S5i/v4lPvm3vpraEkahF4xVPouYckXkrFYA3FY9Kq4X9BeEiz/7XB5T/8AhzAmrR2Oe1+4Bw++03/mzCq9g10zZvXcPdLzv/sst/uzfu8DyI8nHhQUweyroH5SxufS4Wj6LMNdxaXV1pLgP4OEfv5fnkKHYBPRnhDgDlh9F+K1e6/1/c4X190WsvnuRrzOcAd1lWcdQSukADHTP5xjK4Rj+5fGWiPvBLA7RC7N7V7tgjHs7FICS1TuEg33lIKxU7IcGFTGbor7TfkU0BmQIJfX/GDTa0qJVYwEMTetocF+lagsxG9+0FqiCfgpoTOuecsocnnewtMsywj54iqmxQnEfFIiUPnPb9BxbL+hLyjWzYIIza6i9gDsdLw8CZ9gMUeARDbG4Pau15L7MgVP1eIqUDZlTqtvdTjOZu769j/nvLBwVDIRJWa4XcEhgqWSk1LEJXK/p/G1cfkOIXuB6NWT6TSu52dwBIPp0n4cAv1GmpMeJzmtbCtfnsQpAI+X+KCJHfUaLdRzKWts1hYBuDYRA8JsSn+LXgL8i+LLHQkjbrXxhHVWqv7WFh07ZvU90ohO9djoxixOd6ERH0f1VQ5gUyXeIaqgzURGl7fMYVF1Vf7SBbk/zeFaRhjeFnNt4cp81zLbJCo5c0cus5SCFHWt7BeN2JW/lnVElptbXksrxYdmvrY2C2QrKvCR90WhN5Dm8tvGbuiHlbx1bUUPEniNSUb+pGm7n36CS+HXjyNe2Pqs2ayep2qhcv7axlDlQ8QS5a8ZX9bHXRihZyV8T3V9m8SKqwUipEtdeCn6XQFrOHXwYiuuKIUSQzkESIMj6bT4BgAmSwtNzjU+v33NB4lwPtOSMyGHNHecEtLJjhOQCc3E/y5N4ynEnMsQMtmJrc7zHFGPnmgS6PEsh61EKeOrAOXm9oMbMbKNIZMY9eyjHBYGDjtkClcjrAeIjkPRkWzkRPdYAcDbXOqX91MA5bfedy+MYq/GMcyoAMzPmUcUURFICHTWA5hePNaFN7CjXSB2XhGFFEKf98liPr10DKwEYO4dxCYyLclxYANxrglwjdjrOMLfj0NgUrF9bT2GAbKykiW7iTMdosU3jChjPRNsSjSu1meRxVyWAwWonOiXsPdGJTnSndH8lC2IQvcAnnHZCcaySRQW1Bh2vhohLO3jajcrOoyn/KX1H/jxsvZ9SFslR72ZFzRFX1CfxBPFJlK8qlsfOku1wEU89t6L0XdBE9cgivSu7XnSA+GpuERCvlnaxor/mDYmpJombrMcNqagW9qlSACoXo/WfvQteITq6npQh4aY2RX/78TTjqtQI+7tRAShpS5WqRKFVmXTs+hk95WLL8ZrxqRoo7flcVCGKeK3iwEmyONGJTnQU3V/JAkhGzvS9hvV2vuSf9FoNTLxrw21nnYKx7HPSRwY5JQNmWGkgmAGGhClJFygSgCNgroCscGaJbmcIZx14rQozJef6eO7KjlWlYjMQE48OYaHtbqsFcABglaSYcengtkFtEFURInelkN+wYPhJGbtx6TAuq8QmgwZfeV9S0h06B0gQbigwybAE+ZhFq6/3D60Pzro7CeA3DBqRcQDBsCiiFbUcF9sAoPq937RtRnW73xC6Jx36i/ZYtwXCEgVnkewB9U4fO7Wv8A7oL0ohIoqE/oIwLimv2e4BYfcuIWwI4xKo856Ue5VAWe/q38OFx+7zATxYoSIgLNWS2b9T1tFtbc4JvLWKoEgZayOpGNLwUWWzCOX7cEEIc4AHzn3s3hPMvrRGvzkv9+rhiNj5jLMIi+peOkGYM4Z3Crgi3oAD3G9mUVMdb1ADrQymXMPAiTR2YRzL56QPlzJT0aAlDt1aMz85bw+TqkANnDcCtOtb++quh7vqQAnladfylwFuKMld05ecP9HtQn77eBT4LTe5EQztqICvmBMEA5r9iYe4h8akUbRSmPVxNWjbbtQoUewjOK3dSiLMLmMBBqWxc1q2WHlD/FYykhBIKMmdNKhVzvEdgN9U/aaX0G8lIzVdfxjB6XpFcPJ2wOy5Ad7SMalygwGLwtbUuvIS+I3AbaEG2VkR7XkUzC6TgTkxt/lTld/9TuA2EwRn6jsz0nTvuucj5o+XmD1Na7QFhp4we4omb4TbAYhANCPt1umzIIDVeLXxAjp+TnucfhfEGTB/WhCc80881ucrLJ5Wz0bv0V1S9r7UVdpIgO454HaVEfwzUQpA4l7tECMaQ34paXCQcdTPnP1bdGM5AsFJgz5t3DtwH0owUtCs3RgLOhPDeDSC0+0iOF3D7BQUBcFSwm1LejQaIrynXOMjn78dII51XPae9aO+8FXquUyvAcHZvNRIen32XuSTlFmsAyi9NBQUpel2sTA9m595JPrYtINvhuC0F8nCxN2QLP/WXbL813YAt9PjeBSEjuFTCjrLeqWoxtQ241shOLvnQLdOEsOoEkG3lsYLx70mRwqG4ExMrric9bhuXWcPL67T6PYRnN0l0D1hzEpsHMZA6C6Lq5ZruDdeDcF5f5nFiwyczMXA6Z0aNp1rDZwvc52ayzCpIeYKNXFfVZtk4ByLyiMxHuU6rV2Bpo7EGSPMijSR8zIwISy5MXDGGYNGzS1hrkcAILt2VQ/U6LW5Tqv0euIqd57VzMiqB2e1imJa6lHKy2tBdbGta2qqXq03HuM6NfXDXKexV3XBHvhozKIycIoTxF7doOOZrjMAUND4j3FJ+Rrj4nau0+EMGXId5jomHjROw8h5ZWoxqUrjojCM2kBpKp8aONO8HCF67LlOhzNgeBDhL8s9H88EEMoGzjhhFifX6YlOdKI7p/srWbwsT+YLwodF5Pjcghb6K8j5HnNfFq586Fovodp7W/JfllyYJCVoDJJEa0FxAwq03gdxc11KuSHvFMVZjz0kwBXK2PJaVfYCDXBL485qSPkNUtYkZ6e+qcvSzs+frRpSH2fjyp/p2Kz6her342/rQWo89XJ9O8n+HPIYqBxn47OxMyQDx/aue2ju6Tna+/0Vn5n7yyyA65PfxhK6TkFzXFAo5QEaW8XLbBYhADFFnQ4BZIa2GDVJbJ3nIcQbRZ1ObRZ1ChnqY/6bhgjuNdWdJablqopYY+CMGs1Kd2Wz2O7bLExWlaSn+416TLiP2cFkNgseDtssXB+zzSIzupvaLJJhL9sPbJx2uew9kIM2i3Ej4J31IfA7FdfNBgDczmbh14Df2DpoQly/KZgJoNgszMNhUadTm4VP/as3pDBVCnIw6rR7zuiqfDkkGoVqNguaGDA/9TYLIgZ1HlI/OM5puO8DDb4PKbMVgH1pIoq+yGcJXxsC5PKqFExOxtDaYMp1iDqS12EI+aWUxRzSOfNAKXkHPLvUF9rsGNud2itSfg27Fu9KMeK8aQQGJW8Fb0dIMP05wqc4FKlyWopTWLd4KSnz09v5ssLLAErx5WFsijBPzwGQCzL7dSilAwEo5Lz16tCo3hq3i9m7oCHqLTOgarekKtzfvCTuWV/qg0yLL1ft3AfQeovuMoXRd8Xu43ZFsogVVNoWnROjoGC7tUkWGmLvqXiE5le9ruEQETuGr+qG1MWY63Vzz7ZYfHyG+dOYxxBmgu5K4PrKwDlCXeC+uI0tOzjFUiXM1lOohKuLE8w3EbEjzJ4MeaNbPPYQZiwel/s1XhG6jRRvSJWD0/WCbhMxPK/d6zia7gWzOEh1gBiwr5bkLS3V6rA6IUjPSUh1SQMXl2ndR+1pcawVyWsm5FiZxRiVSSCJzWNoYoRk1MJDYswjmJcllsrnJoVEAapixnkH5uQ2jdIYXqVzKjlxiX+QLhls+2GvmI/UKf8BHZeIFk+qiiJNz6nHzbvQiq6MHOthyEzb2ZQBlLlQlFTXIjHEzHRicdHWXW/Lg8+TDGh1Ow0B6IdyXesqpTcsKkXa9Wcl3oMi4LYxMTDO8Si66wowo8JY1gN8ujZ3DrwubxKlYlXGSPOL0w/qMt7ZmhCE1N1bJ841hmXSGaBJfqNL0o0Vd7f7PAna81cjYsfg9ZAxRuqqluaF76LA7SQbOGvXqF9HuG1opI2bZCA7GThPdKITHUX3V7KoDYBTMlsEoBJAiCBXZbk6Jk9nnWkLULdrXcwmpMxOIlnloBuEqFNlGM0SBjj3QTHmEG5FLWkBYwOBUZTyvZKCyKSlO6T6egLOUpS5QgOzqhJRqvgP6E5PRaKobS5W0QsAcEDKOIoqiULHI5BKtTARgUY1Cup3lX44luxe1k5Macd/NQsnV8ZICjous0kYUUDKf0n5HEhSyUKRJLhaG37JOpnNg6vxB6bGuCuvscrcSbI40YlOdBS9lFkQ0a8S0SMi+v2q7T0i+h0i+oP0+W5qJyL6W0T0h0T0T4joR48eyVSKSBmz5VBG70NeEvOQ3LAMXza8mSSTv6e+zBtSu1CPIXO9HnK/TvqiprxgTJ4YtQFQiLrzpb70+w1M2DelyRSpHq+NIbnkaDJHknrMKiXRGJOXR/K/G69lNRYrL1hKC0qTu7SM2caIxl2thYIkS25q+HzN2cPNjpPHW3ltBO0a2zjD/j9bp+tKJB7qN5d7bD4nbtxb0jFqyK8B+G8B/O2q7RcB/K6I/BIR/WL6+28C+CkA30j/fhzAL6fPmxNTK/abQXNM9RhsoQyhOeva87uZLrJ9ApAqNkRSdm4MahyNZ3NQX7Jgu61m/YZ3gFmlmcGLOWTe5etRFMjZstzQnXpFxvN5SdibqK75YAFhAMBjxHjWAQLMUuxGWHq4qwHinVrnLVlPCDrGi1VTERxAU/EMAByRVgLbDaX62YFzAGhdD2gW7gzLBoAa7m3Jb1YMv/n/23u7UNuW7DzsG1U151x/e+/zd8/tvt1qSbY7sdx2rGBZIg4CoZCAQ0DkJcQPISR2lAebvPkhIeCAMeQhPxACAYUYxeDY6C3CGAWESewHW44cTBQJtd3pTt/u293n3PO7914/c86qGnkYNapqrr3OOfvse8/tfVtrwDlr7Zo/VbPWnDWrxvjG90UREFbkJYvjUx5C7a8Cc/cLV1KuVUWM5jkqta96VpebMcCOHv2dpKLelMhBqEiG1KlZR0NsB1CQZdM4N+iyQ7aoiuUksG4Gv7IwAyO2NEFG7kdD/Eq2LTYLbB6YjBgNrSR8hZYmyl9m1OhE2q+jNHhJW3Jy3Fj6TsOsICC2LUJr0LnCiL55YLF9WBz7gJynWSenLRdUK4CkDL+nSNZcf2n9xsGCmf8+Ef3EXvEvAfiF9P1/BvC/QwaLXwLwN1hc7P+IiO4Q0ReZ+fvXbtGrrB5dK5xFZvcOJWoh5YK7oLiHv0iWE8RClIiKsnu76kHZmwUQM+A9qOKlgPcSjtTwrIYHhyARFiDP38xQxjhh907fo2AWJnWN8kZGYvfOXu0obTf9eCUMaqr6AQCjl6r1M33fP0b7C0Dylk9DpznKkEBU1pCs/4dYwqSMcg16qIYpo4Qvc3REow+9L7iPvbdnXS5hbQ+7U19ICZ2CY4F7p7uZDTLgS/Ad4kOItswgKKSwK0qI0vYJlzJGRG/gtmWwj5rTowOp4lb6Ec2mJNWZIP/cjlGDoIxP/dAUn8VEWDl95HCpqb47iWSYkeG2Ib+Emg1jXFPOS5HrwhtDp1RpFn4W7N7vVwPADwC8n75/CcB3qv2+m8qOdrSjfc7tE0dDmJmJ3n5FRES/DOCXAWBGy0M7THEWk+8lkQzGCM4iYS1So1ALJquwcY1cUzwDpbr074xzIBIAVEROUGNLIqPYuCJN51wWMU7XBQAIrS2gJOXlbGxJCAsxT70pRIROEJwKuuLGyNsss2lpOjUl6bzXCy/Lvi7vV4sw7x8j3ah8DDbregCYZp2mt3VOZoqck8IUY1F75pGXIylpTsGiraJf3aRvJlaXGwI1LieBhbwMIYS2YFDqmUVm5TIGxsl0388Jtk91W5akrxmhacsyyy8MzJAYteKBZYj2wcLk/huXlAFYugypgVZAWoZEqkSGKGuMCO9EOv6itEUjJHrfhtbA9DHzgoxLwrgC3K7U42eC4j00swid9Efdrs8ikewREX0RANJnEqHERwB+rNrvy6nsijHzrzDzzzDzz7Q0u2Ezjna0o31WdtOZxa8D+PcB/Jfp83+tyv8SEf1tiGPz5XX8FRwjeBwyyxRHBl8K4D2+EFYRlTMkJ/Bl3goYnwDwOIKcm8gTmi++Lz6M+SyPzKbrSp26tk5reF62gofQNeSTZ7BzETnWusx8Dj5bIc5cli90APzdBZz6GnQmYKgsWav1eGa03vefGAIDsB+L/CE392Cfr8HzFrQdwHN5JZlnFwCfYHhvCbubOnVreUQAaK1JjFtNYdraur1j5G8VKY4NTdihJ23WYzqSNbkp6EflFLXnA8zuAIaY5pl4h7zUuXuvzc66fYlEzcGQuiJaovyWDFmykCcOvFrKUC0GcXzaJEl48rK0jW0DNsiw7ssvdxhOCbYH/BzoXprJuYmRfRP9qVy7GRYYV4UJK7Zp1uCnM4v6euQTACjLGqq5g0LFjMsPbJoJtdmXMS4J4xmLQzPZeIIyw871pG0roD03GAux1qT/3mRvHCyI6G9BnJkPiOi7AP4KZJD4NSL68wC+DeDfSbv/XQD/JoBvANgA+A+u35Q3WO0AmzBlVQljk/1jFQK9ukrKiWS+YqSqEsQm55zUlRK5MklOAoPtEfWY8fXygvvJXTlxKlTtSUlr+qnbaQxTecR07loeEUhOVC+K5OqYM2Oc7JOdjimkafv4yuQuNbelg/vZPuR+3LdJf6TrrqUSJ+rvFbALMCKLGGIhv6mSuvaBT/umEoe2Z0THJScIiTGKTS6zA8PuCHaQZKuJPGIKP+pD77bCe0GB0awr8psgSV/NhieQbavObHWUev3tp/fmvs5sLt/Z5JTlvNRzG0ZzQXCVg5PN9O+ak0O27S09Ps1EMmb+c6/Y9K8d2JcB/MXrV3+0ox3t82K3F+69b7VCWc1+VTNi1WYTm5Q6QJGWHoq5UIdaygKNrYWJMWMfbH3Oqi62IjKUj3fCRmU1bDtUjrnXMFllFitAHIUVQ5e2h5KgEXypj6yKHFUeMAAgwTzEahkSe9mPAuflCQUzSUzT8ib10SHGqv0yP6fMmbm/zaR+3Le6P/S6RdCoWlokbAAbwKUpmHBIGjhnJkS/gOwXqqXHoWVIcRIKu1XtSA2dgZ+VMmW5YkPpGnWNVbJEdVbm53Lu2BiMS8Bu95YhAfCL6q1uDy1DkDlf6zYdMj+XBDkzluQwvyCMJzK7yPstMRUZqpYhfsUwgYRNa69/rmOfn8ECEml4q7CLSQ+G5mPg7by/h8+JyZqwliFkY94qf+QT20Qt7cB2g6kWih5DhExYmH0sZpKx+pkbIUvuSSSKc/lEYewdWuaVoBSNyPcNTyUGtb2WKl7Sd2xUPm/aF3ngvGFXfq4Gi1eS4bzKEmy6ZtC6lg7qa8+JKfBIIc+AOEg/yweuriseuAOULyEwoG+wPdaqTFDzLiHk1zHFMDGQWbcAYQziCrz0Di0zS3ECTFVw6iuQaU4w8bdgx/5ExuVzP3HuupZT+W/YlZ+fweJNCmWHzNqiWAadmcS3n6FMzpnezFUUIKua2UoV7R1brXim7agVz7QsWoJxVM0gRCtVl3RZAc19Nu2+YtqPOmNLTOATNKbDBNL8riwriRnBbChWI5Pq8rS9tcLZOzcqM5+3gWjXFh2KcPMN7PMzWHCcErVcJxoSgkQqJm/gRAxyw2iIQqFNZo2KCdqdaPEzLd67jYbYPk5g2flNXL2BzRBgLQltH5cyrkhrtF4KP4xoSIGAOxiwlRlFdCUqYDx9ZtEQtxMmKztIJCPT+OnMIpTzuS0hBoYZPptoiNvaxAxW9hdavetHQ0JHaNbTZcxnAfc+2tGO9gfMPj8zi9quEw05sByoE8puHA0hmcZPYeEJbl7ZZxENMfWMiYRKro6GcG/yEkkzMo2bRkOy6C6rt/6zi4ZIZKCKehAAm5Ko0hsxtJRnQe88GtIS/Ewcm7EhxKb4LEJLk7dw6Mq5P5NoyCxFQ4ZCivO20ZDYMfyCkrxi6Zfr2udzsLjuMgSQNfABp+ONlyExAp7KVDum5YAPMmBo1ulnAMoy1TKEifbHK1kijQQKEXYsZbAl8mF8ddBnvAyZMombEjp1JeNSiYAp8rsHZfUMtxO0J9tq6ZCZucr5YkMIzWcHynI7i+gZrrrmtwVlRaegrJstQ27VYEFtyrIZfWbJLhsNgAhaLcHbLThpc4KjfOc4PcaXhzl7/Jfz4r94IZpvSrRrYhQS3MRTEfseSvBb14XVAuQDrA42/Qi77kXr1BhwOt4+ubhCjkuNg00JaLTZgfT76NEknokMLX9+Ad7sQLteSIGVPXy7BQFwrSu4E0DCpDsLW4VJafAwvgGNITs+zW4AW5ujH9RLe9kJHqP7weWVh93tJXk1L5pMtltvo1FYuFU3tTY7+twfet0tUabeczrjiSxO6ZpKMEV05h9JCoBygtAY83cpvwoaKDKVEd2igX1StP7MpgNbC3MhcmLzzqJZC7v3uLJoLtKxLMS6pkLCNucWsTOwQ8Sdb4xoLuSaY2PkodyGLDoNlNlA5txQfhI/fVq7x2scMjYn2cmqofCzZwGz5w7d83KfhZmd6M3WjuvNQ4fuPEyg9TqIXcdux2BBAIxF3Gxykb17Vyj905uWE6lMePQY9qt/CGabHp7FDOZiDV7OYWeSkMbMws3ZD/nhB4D4+En5/i/9EQCA2QrJzXB3BrMLCHPpkpm1iKuZvJ130qM874AYEWct4iLlhjxjhJNZecCeSG7H5md+Ai79aPqghplBSD9U+8Ln77aP6O9IvSfpht9+cYX25SDkL30h5XHPtxjvzhG6Kd8CIIroWRoQQPd8EBX16sZ12+bKMQAw/+eSC/j8z3ypwJyT7Uv3DSeE9kLe9Fn9nMUh2FyGosOhUAlm9HeazEdRZ4/qbOGqinopd1sZKJ7+y6epPbKPGVK2pi6pVEW98vi7HRLcXdTfT78tO1EE+lMDPwdWP5Cs52Fl0N8xsDtGmBG6F1VuyExnQ1JZf0e23f39Hh/9gsP8UZP2A8IM6F4Aw2m5HjOkLFDNOl1IyF0zfHWZcvaNNve1vvWZINKLHbB4FLOT8/Gf6rD7yoDuu2Wt4VcRzflhFXUmoD13GE5Lmf8/cG07OjiPdrSjXctux8ziVWYI0JfnBK1YORRt4rYwhc+CgMPCyFSv39I00MlxsTGgSqyYDcmywqFgFCwBJNR4eT8rzkblodCs09gRgjISkTq/KMGXhR9BY/QUTS5Xx2xsRGAoNkYg2uoIs9LW2JrM3pSvqTUTp1hAPwAAIABJREFUh5/UIftpew8dA+0vTB2Gan5vZuHn4mijULZRAjLZxlwFfLE4DJXhqs4e1bfnfr11OUVZeuiMIlPQkbzFdWah22taPQAwQXAxfl4wChRl/9BR5tfwM4F7A/JpK54I5ZvIfTIv/ecXEX6mfCBAmDP8juAXpa+VgyIkXr+wiKIxkpYB+w5QUSQr1+Pn0l5ftcMvGN1JjzAvs8WwCiBPB2cWsAzvDcKq8nV9BnwWRzva0f6A2e2eWdQ2AVZVaec1+3Zth7ROq31M1uRIDE9JWzRrXiR28QnrcwQoBNBos6OLQkoX34ucmKFoVOirlq2BNRotiUVBzUfY0WSos7RPrsmEKQmulvGAKbEuhMXJVp5uM0QYS/lTy/aPyf2FlKZd+yyq9b960e0OsKOQy8ZBZxacNUVrXY/S35ydfMVDX0BG+2+4utz2nPRg0zadZA0ss769n54N8mvQDkh6IcIyljk4o/wdXXE+uh0QtgS7E6im+idq07KwLf1pN27KS0GA7SVqlK+/19mXlpmsGFajcVVdbH9m4bbSZrcrfea2Brt1i26Xq0F0VtLn6SpEnUFwG8qzau2H69rtHSwMARWx6GQZ4mxZhjhb/uWwZ3zzMiRT2slgEVqRENQ4N7sK25Ck6wr13jWWIS1lYlR9EEJn8rTddqbURULvJtPthLNohP07OgKqZQQ3FuEdLkP2sQpsqmWIMljPJdhEkfJ0XB8C21PJ8tUlJCsLd3Jw6lKswdstQ5R6TonVDMEvUJYhyXnIdoqvMAPBWsAvSj0U0jJkXq7vpsuQsIrwF7oMYYQFw/TTZYix0ke6LAjLCASSwaK6zTVSwbYMYmzplcuQxekO/bJy4q8CvCewEcq+MJ8ytX+SZcjtHSwAXNE3nWybQrjl31sMk5WOR+a0iihvKWYJTe6ze9/EuHxS9b3WCc1/68PMKVHJUklwSm38NDQgrtXe/TbHqixWn3oMa7ulaKKmzgUfcOP284HPuh/32wmkhLDS1kkb9spubFUfFU2V6S50qO16bJX6XvRjaPKbv8piNFd+L/mk6d8A3jLv7IodfRZHO9rRrmW3e2ZB1Vhm9pYkVC0tDF2BW7M1IGPyJ4CJqrWCeXiQ49mlf7Y+L9LiMU3DiUAJ6q2M13ASsYBGV0zx+O+nL8emREPYUiWWk74z8vAdG6k/OoJJ7cvncZLtGP30mutoi5zD5P008nLoGO0v+RsIdbo7lel9ZufugLAjmAYTDscYUtRjP4XaJCi60/bLp0+waP1eW11OAYnRvNSvFtry1tYpfh0NCYEQbYqcdFwySQ2n/irtCTPKS5wwmy49dNmhJ9b9YkvgeciYmTAD4pxlOVIvAeRmymU8DwAT4qDLDml7TIA1JlR8rnJeP+cJriTMI+4vt3g8X+Ra7MojDBUadl5hcSzDDw14Wd2Yb6GFepxZHO1oR7uW3d6ZBaWh8VXbai0PnWlo4tdb+BbYyijMRInrodTBVlLOMzmvpesrgBNVUZBUF1VLSVe+R0cZsadveOFUMFCeDI1EcGPeKWvUPiNU/ZbWWVfmmDClTOjwJP0/40fSC4xYyktU5RO0DdPzsEVe0+dyW74bB9BQ2qwzIQqUj58wid3ELFdtYrD+XafdJIdjfYyop08dHHqvRFvo815JfWcAZ2JhFQPkXAZgYlCmHvt07BYPFuaVUySuBYjSwMG2eOGvw4aVSWKoekAJ5UG0RvIlIpeBqab3v4bti8RMHjxDB2/ujOWnBMwyaV8q2z/xzf06q0Kl2mZtf9bcoUSkYkpZJoihkv9g0mDP6abVdscbtj+3q0Qfpw9SNZiwS9N6lyDVBoiOq7bJ7y0kNzdqTqnWcGkTQe5bkge27ESTgZgMgwPJvpaBMO3j2JQx5FV0/UyMxobJc2KIEXTAiPxWy4w32XEZcrSjHe1adntnFryn91GFRUkZsAARDlYGKy1jYVbiGPPn/jky+MoL6MmMykSk501CyUmYWOqNgBe9DjOaXL8ZYxZB5syUxTDKapRGd64ctraP+W87MGyPBL6qjh9iEsiNZVo9Sn0cqdLWSNsGgq2mpGaMMAPlz/q662PytSEBripQFhvKyzqjDsqUAGb74pijKEAkM1YhUq8hZ1Ez1wQzdTTHKuV7f6pdl9uBJcN1t78PJglXIb2djStOS7cRIR/jAbc2GdBkPMO2ApxyfVXXjuC26fwTUBZNyhSDYQYGLhvYTb0cs7Abgm0rKck+QcwT9iZQIwrqaTmkswi9xlixeJNPDl8WwJi2164tPr5YwaxLPSO1sGsr91wkxFDN4kj6Y2yrx/4Qd+sr7PYOFiHilTiLyCUF3YfqX1Eyp649fGyyrPA9RqFS4DRweEVVBlHWigCl9HHaJ9h5w/kVwaiXYQIjsq7ny3YzJAQnkNW8jJ/Bbj3izMKMIUdDqB9hh2aS/vxpGrHwNmQLXHwV+ToUxVkQnAAyglOzS+usUwomczeYvER4u+VI5oLQQWFkmKEm8kn7DSWb0ybkpBlFQKjZFnyNCTKQ6MA0Lm62PIIvOS4UUt5MLBEdLRcMBpdjOA3WDHCj90L6RBlAzAgMB7g+KQDDYPOAD0hEigLysoaqwUKXZje12ztY7Ns+3Hu/nBmTRLI3wL31TUrM+S1NsUCSZSOBOE7JQq4L9x4LRDvrNY9c4N6ewQkOTiHVy2VnCnIheVCr2kVRZh3vCu5dCGmkDQWCnM7Ry4AhEG7K/Wi8cGiqf8XUfKChmnGkrrL9zeDe+fxj8mmnarKvtXIuGl/g3sYj3wMU5XiqUKRuxzeDe29fAfeuEKAK9655+CdwbyXDUadmBffGq+DeO4PdtkFX1R03Bm5X4N71uP+jAfdmiSlPJhKGANOCtzIvy8Q4gKiWp4edZw0QI3jRgS4THwYRuG1Aw5g/AWRINoDMW6HOUr+wsIYwnsg+nbOInYOhAErUe9xZIBjERQO/lOPtWr7bdVIjT2JD47I4InWK7bsCx6Zo4RPc28wMdmcGJiDzVvi5AXkHtgQHFDq+voGfO4m370VF/MJgnFdLncGJ2rehrPp96BgAmbRnOCHYGqthBXsBlIzN4SRhOhoDv9TrIfitUvin69LBkBnj3CCmJYtmjfqOEN3ht3pdHh2jWzQYztJxc70+gXsXaHgaYFw53q0N7E5g1dsvRHTPUts8MK4I/RnQXkrZcEro78oSQ3AUpS+1Th0k+rupfGXh3x/Qe+mkMGOEkwA2DuPdatm7pQn8mlce8EYiOW0Eevl9h6cu9TXy4BibgrOwvYFNs6P+vYAf/9JTfHt4L9djT0b0XZejLzyrJS4ZsW0Q71Z6r28x27gVgwUZI6+ImunKyN/2nvwq4dnzsm0Yix9hN4J2gyR+nQiJCWIEXlwIYY4PmTiHh0IL5F5IGYUAGIMuxMTUnZijZo1EHsYIpAcYRDBPX4IuG7j0cNHFBrPBgxLbEq/lc/GDIc9eNNrSOsqRANtHtFnLA3AbK9eQRn23CfLmCRGIgK2Ibmwf0D3qYfopI1XsGhnQdL/zHWLXwPQjYpcGswPHAMjMYSffuT9JnqtFijQkGlqC8Qy3jpnIhqL4aOQayjJB+pjRcVlG2F6OOXk5Zkq7uMdyVZebMcA+ucjENTnNPPAkzV37NjZliWN7lqUHM7pnBt1Fmdm5Xt603bnUtfxegF9ZmEEAW+6y9Lnm0OjMzK+kvYtvr3H6T88we8a5b8K8QfuSMS7LYGNGmY3ldPh5J7MI0jC57Df/OOXPNMWXEhrC7GVAaA26Z0P2q8Vmhh88+QB3ih44QtvAbTizjtX9antGs2aMy/LifbKeDtKvs2M05GhHO9q17FbMLN7WapUxSfgKCSXEefubJleasEOBwUiRl8DFlxE4RUqKPscE/HIdUwefRmmMyRBeCrFA2AODosl1av1Gna+h+E0oxIn/4lO3agaQTaEfOUFMZhZZ7Sxt079zUpUvv4c4/NLfb9uP0HqvflIojkAy2hbKb0FN9Vf/gPqkKHC6DnxiVbFavYwipT6YgrD2k+hKIl7y8ygMXf054Mn3V9Ybpr8Xsc60uCTRfUr2uRksVFWMAXDjityes0LR76bTWOpacAz5EwCoWoYou5BRfsxlA9MHhFnyRVxSyhkxhVTVEnjWguct4iwR844eYdXBKjnvJvkcli6zX2cOzs4gdmXpoSnqdojwSwsw0FyOqX1WoieNgUVh9rJ9SMe1E7JaQPwdoY6SREbsnKTUp6XUoWMAwKbo0XBqM82/dFpJKVff3HBCaC8FSVrndLiepo7dSohpXBrYXvtBfTmNMGzjKgV+XW57C7Pp0J+msKPS6A/CS5k5OLWdprTVthI9MaP4KFxffCz9CSG2QLNRX4hDf2rgeobvCF2l/KVt1iWUtqV72mL3ACIwBU0jl4d/OKmuZ0D6zdP5ZulhT5EUFStWWn+RQ0Du93FuxXfELjtZd/cJ/fsBFMpv7leM5lxAcGDkfBpABlF/QRirdr0K8HXIbs9gsYe6JGvAbApGok4kcxYclFtC9DXQuBxOZZPQnCbxXhh75RxZti/R1wnfAnJCkFDtWZhKYyQ2FsYVJfXclibxaQC5Lrm5Uht1AtEV+jwzq7gzLGGcy01Ta1iYziavuMmJa7G1ef1Me9BDOX+5RtdYhM6Aoi0q6geOAZAT8UJHVxCc6iPICWDzMnjod0VwOgKg16iDhrOTBDflZBC2ajMpm1Ss5Sx8IdnJ2JX2hHnl4Kz4LDLOYivhUWqA/kxwBtI2cdyOK3mAcn/M5UELM0Lor7Z5sl/qv/Ekwm2qwWIhUSK/Kvd07ClR+SUn7zJFkiLEb+HU+ZvuCVeiUNEmf0c35f3wK4a5M2C8mOWysIygaDL+ROsD0sAUCGOtov4WjojbM1jsGXsvDs8UweBKF4S2PVDT7PeDhEsr8hve7IC+l5eOOjirc7jzFGUZgyiIh5jCc4mef/Cwm0Ho7VVXghl0uYUZPUyi0KfLLRwR6FKQPOpM7Z4OmY0rw71teejtzhemrMiwgwMiw25k9tM9N7B9EBYvX5YhZuvREGDX4xVnpdlcdXCajTg4zeawg1PLeSP9sXjsp/T0pggU6VTZz4UC321iGWxYZkjkGRnSHMqU34w2OzybNKC5tb+2g9NcbDILtw6IxssMIDs4VR/VUsZcuF6YvyhK1EOdmeRlRuEvCLNnqtUS0V5ez8HZXkoF7dMdTr/ZoXuuTkchqmnPI8ZlhUEZJDSub/IwM5Plg17T4rEuecvMIlqg2cbk4Byzg3P17Rm2uzlmT6rzdFZ0Q3RmUc0kzcho1tN2/aAO+b7Bjg7Oox3taNeyWzGz4BjB4wByaV0dGbyRN3V88RJApSPinHwm0R0yJCI8LSP+4HE+J33pC6BtC17MQBci3GIX86xOFtMshNiDQgA3M0FzKoLqyQvYRdIhSW9ds5gh3j9FnLmM02gai+H+Am1a1pjERxBmFrSdXmfoTNb1KL4HwG1DfrPYJ+fSvlkD92yNOGthdgPiTObY9tk5gFPsvrDIuiSA+EVqXRIAaBcN/EJ0Q3Jdm4A6Gy7rhoT7QASGEzPhjpR9pn/3p4TuJYFaszc9N+jWA8zmqshQ6GbFh5OaePnlLqMnQ1eARGwq8FMrCmHzzmJYTZcsbjddHuxT3wHyhh4XArAaTgnL75U+8+k31NnCxVdaDGcCyhqXhO55LXVIIOYMBe/PSJY7doXte3Ltsh+StCFNdEMUtBUmnBw0BXOhAuHVkzsPvPxJh9AB3Z02zzh2DwjbDzwolMd4OGW057WvpZxnPGO0zw3G03LyUFYwb7RbMVgctCvapckHEMIUaFWBrybHNE6WKo0DVGhoGLOjVEWC1Ivtlw4ufcrhNgOV6rp0oPCL9NCv5XvTNXKzJ7i2X1Xcn8lq0FQGTKVrG06m4CgFesVFI4pYqb3mUsrG1dXsU7+YPrxmsBLrp7IWBpJPJ133uJTrmDUWiOK4i3tAnX3AVH9X/AjR8WRbdLKcOnRT1f2h1z2cUs6x8HPkqXOduepngoRs1i4L+9QAqUJKc/jG1/OHrQCuFB8ByLWGOeUlxXBG6O8y7Fb8DRPN0BkApuwX6e9JdGz82KB/6GG8gumE+IatQV+BsnI7EkFPTOAss51O7vtHhyf7/V1OTlGCSQPM7kHE6RcvcLk9y/vFuyNiLaxVEfA0d3r0dgZzrzj6P3egrIO2z6cZOScn1MlhBxPGAGTW71glmAElvKoKYjlxa5ogpufU71oX+eTbSPtRiOLI81Fe2JpINvBrE732k7v0Dat1anIajaF8ahvGIHkY9fmJYIc4YQMzPjFujwxrtV1R0vkVIp1h6xJi1DV+bftJXiElX9lhX8+Tcz/uW90fet11Xgab4sFnU5WTzCzMGKvErnR8gmW/zuqkMLujibao62Vtr2V2JwOFJMhVb30Nd3KBodudcIzYMcKuDawmuaXQpd0VZ6ruD1TO2Ggm5ZM2HTC7FQe83RWwm9sQLi9nk3rG1k3+DhXp9dg0cBsD/yOXSLavgu6cpCmOfkqVV9HnTaIdTVqutK5IGAYjERNTqaA7daQZmIouL58zfde6wrxBbErUIXYyQ2hmDjCUHZ9vor1TyjsAiN5UdHsmb4eqtbtQmMWtlNVRDwA5jFl7y+3CYFiKZzxk1GOKtCTnmk7tZ2nmUlPdqe1T3vk5YLc0ERnSc2s/7lvdH3rdfl6cv35eCICiKwNUbGS6P65sXmbUFHdvmlkUEwh3rKMyHSHMKJeNS5lRsCUMd2MWRTJBZjiSx5HasJQZRH9KCMtCq6czC7vH7p0jYnszC967zw8pwQMS+QgtMO4IOkD6RcRqtcPloqw1eOnhh8Mzi5MHa1wMJ2hOK4HTt+C7uL2Dxb4quvdlZjGMWdBYv9MwTiMmwyhCvLuxCPWGkGcbuq7WjFK39jCbMXeInlO/6zntZgC1rqiQbz2ac4mcsDG5LncZrmiRItoMAHJrn9Mk3Tag1XDoUNpD/QhDlD91u9mMaC6bieI2E2BmFqHKQGzOPSha2G2ETYNgs/aw1cxCBwaz9SBmdOcx64yq1UrccpDJ+9Xb3JZzP+6bu7SlP9J1dy9NUTkfSDhOkwix+ixiw7AD0FyErD2qb2OXZgtqh3wWOhuR85lJhKNrJDyqZd1zC4op1BoMZk81twVwnYCtdLZBLAN/9zKie+zQpWwEt5EBuz1HHmyA2mdRQq51eW7T+WEF++GpFZ/F80o5ngzO5ydYPCn1DEO757Mo2y7jKbonFmNfymj/t32NHaMhRzva0a5lt3dm8UmNGapXcYWT86b6H4DwW9Sp7syZp0Agvu8Qir1vVVWU21ItC7jAgcnxpHxfv4Ji/GT9clOr2kFgZC2PujzyzTVbbtgmE6ZteJXex2f5e6vC2I11TuLeb/+WdnsHC9qbHtUiybXKWK08tq9aZuiqUlk6d5YCGBM6szWgsSiN5XPqd63LGURXfBYufWcrfPOFUv/1imGqFgYAMWVP5jrSdkGKGvBoC0zbqjBzUTwDkFXVaqSk/k2htNeMPGG/KhDpguDcvxn31cLCjBB2ikisBqdY+nHf6v7Q6/Yd5Rt3P3Sa6f3Vr2MpR3rCK8Kltf+i2HR7rHw9oZNzalnoihSAn8nSQzpHjhXSHc7nEgJggl9G+MsqdDpjmHHfZzGNhmTZgr2I1iFhatlfzm23lEOnfsEwJ2OOzAEQdbTKV1YLI/MywG8N4rIKuf8oIDiv2NuO4KpSFmIZJNIDwm+jXHblvBHEtrx1Apc3ny+JaO/ceO+tRjrjqR9eYePSxCZp/3T2U1CWh9fK79JqLU5KsOes6BVKuQmY6Ka+u/awRDNYnJk1wlLZuSYJYb6gLN+5VbOKCTnR29iY4OV8eEB6k92qwYIVkFK9+bKFIG9V76fsVzUjVr08GBNcPIQ842Dvq9BpYboCJKQocG/FDnNxslZ10RhAtiRFUQgSflSmrup8r2Oy2mev0pBcfbyyculnaYPsPzk/IV1nFdtPYVI7FLCZCTqzSIfpQ+nlGmr2qvy77L197K7sV2/TNtF4dcCs+0Ovu2Z9mty/NOUBtYOcd5+56iqT1esdnGFLkz7TpDAtc1vJL7E9p5CtdoD8p+xacqz4ae0Q4dYuh2hlaSI8nrFKRMuO0aj3DU3Ky36HXzZuI8FAt+E8QLkNYbhoJqHS6Mzk7wmtnpVjuGbKeot3xNHBebSjHe1adqtmFhPbR3BWforrIDi5a2TW0DaF3JdMfvncHMHZIM4dxkVK7d4IpNquE85C1cjfNYIz4SeyJZTmBME5WoxLCzaU1/bRFfATgMzmxI0FmD9TBGd/ShlaXiM42SCXh07e0M25fecIzv6M0N+TY/yychYnn4WAsrQPOEHJPyME5z3JICVPku6Ot0dw2rMBve1AdysEZ/OjgLPYN0Ml1fw6lhTK2JmcPk7OCjJzH/D1FsaNPHxZk9QZAQ45AXHt82q8K5uogQEpT6EolwFI2qoyFVXKOZOEdkpadxpEuh/CrUAFfKXKYBQYsaHsDGULhAaI3bufBEsbOA2unPuGojgzUaAx0q4ZY9zLm3l3bWPASDv8DX+q2WzExnY3Jh+6VYOFmafELe8nfJmysXBysvJrAoVj04fJMZR4OpWjE4BwdMYIBuAeSYKagrJmgweGMXNr8npT+DGquuxyBrMh2G0i0N0M6J4auBdbsDFCIAzhZnwdR6byYwKSNt6cp9di4sKcfdeBLjagywbUj6DL9LZ4eQnHjIW5M3GmsjUTjk9A1r9uk5jINdiyHhFbm52cbSL7UZKfu/9sl9PDc7v3EJnjiUNzIenl9TYzBtjzXQHBVbbYLHJ/5OseFtmJGBsDdgB5idDUsGwKDDtE3P19+R3qdPE6ulGjM3OblFp/iPAri8W313lb97RF6Azap4LVjnaF8WMDO8aULJf8WlEGMOMLPH5cGIxzQnfBeO+3LGYvxJEQWoPQAO3aY6g4OG1ySoZm2qf7zsqTD/fEUfT4YQa20heair/8CNh+eBfvfVzug3HZolmXc9a/z+WXznDnKcMvKiHlzfUHu9sxWBAAYxHX5Ye07z8sWaYAMMoD77//A9DP/HGY85SVeraAebFGPJ3DPlFpa0ZcdKCXa/CsAfVpEHn8JJ9//fP/IgDArSULc/N+g2YTM/z5rjHwd+egEGHP5SYNZ3L+8aTJy4bl9ww2X2ixTA9f892nAIBH/8aXhVdArw8ynVc27PnHizyFd1tg+1Ccju83XwYAvPzDMyw+PoOfG7h1zFP3+aMzbL/QYVgZNOupM2xcGoyr8uMvHgWMS5M4DBTB2Vw5BgDu/1/S99/510+ys07brlN9Xfb0DwK6Z3M0F8CYOJKJxQk3e7osQj7VmLN5YNCk/lA+hXEFNGttx6RZk/JmDdz5xoiPfiFN9Rdy3XbjEFYxL6myYrjlTLGHywbwBLt18O8POP2nMmWnCOweAONJxOk3BS69fQ/oH3rYtUFYBnSPy+Phl8kJupay/qEMDu/9lsXZv/ddfONb70u7lz1OVls8enSKO++d5+PXmw7MhMVC7qWHJ5cYg8VF30qU3sj5P/wnianbFOcjG2C4H0BLj/ZbM7hEYt/8mef4C3/kH+JXv/lzuZ6v3nuCrz95CCIGM+HOovyYD5sB33xyH3/owdNc9q1fv34453YMFofM+0m4lKu3qNkM2Y+g383WTd5otB0kyzR97p+juZROsusRMITupRFGba/kNyPsxkrYMddlK65FlQIY0L10sOs0IKV9uxdXYdN2MPDpxdG9iJm+zm2j4DQYhfzmZYvm0oO8hdsEmKBZriOaCyfs1JvpYGFHzh5+OYcknLlNzG+2Q8fk/gIwf8IlKQqQwWJWvgPiC2lfAs2G840r1wF0L2P26Nd4jWhL9MJqItmO8gBi99Li6/Jmw2guRswfJX9OTvMH/EUJY2t+Rq0pazeU1dJ632YWbgGwGbiNycQ1gIHxDnYn5+oqQnnFUehAqj6K2QuPb3zrfXTfa1IbGjxfztA9NXhZ+RJs8k1czGVgOp8vJUw7aN6RtOvs4+SXo9J/op3i4OcW84+RpQCefXiGv9n8aTz/8G6u57fPl4jP2uz/eTFflYuwDPO8we9elFwS319/2XyMhhztaEe7lt3emQVVLvs9Y1dnnRKISKjxaqSmMdN/e1YcfgbCt0mTTFCQojFj5sCAJTDSfimGzpWDU06oWaOEqDO8dHhoCk+kiPSkzSE5IrnOOiVEa8COwK5Q28FJWWjNlfVuqBCieg7dr0Zw7h9Tt1sQnNWMjipUoV7HDIg7IPhqGyM7JwuWoK6H8rIkO1VbZH3SuKc2WZeHIH2uM5w66hFmXM0sUlNqVXMuWIOp05IyUY3+lqGTaAaY4Oc8TfVOL2N92/s55/5rlj1C8lWFRQQvPMK6BS9KByj4U5dKzXJEZEJQ53uaWYSsUYMCmTEpyjJPOim6PFkEfGF5gUeLMoNZLHe42Nk8s3DzssxwTcCut5itKn/gW/jjb/FgYSYXQhWUmys2b27k+4Q0N5pE1Ft97p0jQ629dGxoDchXKcLOIrYWxpOkuwPZMRgdvXGwEJh1aq+mJ1cp5HU6ObHAlgUurYS9MhWWdnFJZ2+FfDc0gK1AP8B0MALSYJH204Hp0DGyIbV7VoBD2vbyEKZj5oxxEPLXOnQpmZicBZ8z6pLlYcuDRWaLouzg3Ic51+Xi1CtQ7DAvvqCw4PxOiXONoHBOvWZjRdmLgHASMqs7BYafCWS6EAGnwSemgaVqk4Y8tW8ybLsBTlZbPF8m5/zCY7Ya0G8cmmV5KEfTAJHQLGSZerLawgeLoXEwpqzXvDr5Kw5OjbzEuXCe6uDXLAd89eQxvr56mI+/v9xgt2tgDCNGwmpRUF+tC+i3Dc6WxY9B5jAI7JC9cbAgor8O4N8C8JiZ/3gq+y8A/EcAVAvpP2Pmv5u2/acA/jzGn4L7AAAgAElEQVQkk+M/Yeb/7dqtqS2Gqc+iQmeafix+hJ0DjV487bUXXhGc+rl3Dk2XthvxWTRr8Q3kLhk97Hac+iy24rNw1mTMgNl5uE2E2SlgXz6b9YFU72DyDdBeRJhQfBahFQen3Y7p+A7N2oOCtCuL5G5GuLUDRXPF/wBgki+i2+v9Dh2T+wtA+/Kqz0Jl9ApAkrLPwlRd7rZAs+aDPovQlrTzorJefBP7SMK6vNkw3DageyHb/K6gH01P1cxCB4jS1tpnwcahfVl8FmwJxhPacyXJldmk3QG2lzRzNRVaVp9FVplbezx6dIruaRps1y36jUP71GCIZSR1yWfhN/IyeLZuDvss0jXu+ywoGPidtEl9Fhcfz/EPTv8w+scluvGdwU18Fs/n1dsj+SwehTIT4QN5PK+y68wsfhXAfw/gb+yV/7fM/F/VBUT0xwD8uwC+BuADAL9JRP8CM7994oGxQCXrOplZtA4YNOHKwSZq/qxyzix0es6Vz71zqJOMvMSvx4UR8I0CpZxFbJ1EQwadxSStjLnN+zWzivwGgEl1CZ3dVXBTjoDsTP7OlKIYLNcDCBlM6CzCXFiglRavSWV1WE5tWJoJc3OzLfsd2n9SnmZPwylpd6WOB3y6F7NuyJ0EWDI0iYawTbwUOpPLeRTCaZmjQhoNWVLRgd0DftXlbIUrVDktNUHLbafJWqojCgNw6nvbWlAQar7xbokKURRdD7/i3J7hFOjvRriNnLfmo9B6dEapgKthaXDnvfPszORFQLMcMMQ53IMy6o6bRpYFCxmUV8sdIhO2u6Q/kwaL4eQk93seLEjqi4uI4dLBpSWpe7DDzz78Nn7jvAwWH9w7x/dMGQzm8zK7mbcjHttTvP+gjIKPmuvPLN44rDDz3wfw7Jrn+yUAf5uZe2b+FoBvAPjZa7fmaEc72q21TxIN+UtE9H8T0V8nIo3dfAnAd6p9vpvKjna0o33O7aYOzv8BwF+FuJb+KoD/GsB/+DYnIKJfBvDLADDD4uoOHF/ps0CMhTI9hETKyyXrVEl668+9c5icdRqBSEJs6zmraCEIYS+FQvhLKe3deC4K4T4myb5Y6oaS105BWWZExvXLOarvAyeympQz4GWJZEZJM68Vyc3IsOPVyIYdgVjTK1b72bGU7R+j1wtMSXQBmQJrlmj2A+wkI9MMDFspwZuB9/RE67YUh13J3OTcH/s6snW5HbSP0jb1F/WyWi2rPcVZcM6yFYo8YcQ2W8p1U5Q6Yk+F2q9P17ajhG0o7VEYvZZprocdGetNl3EUgcSZ6bZGlh7JaCs4Go1NrKmTaEjCOfh0/cvaP1RFQ+yOADLSxgR6GzcNPlzfw7gt9TzbzKVejb5U6bzD6MAbh5fr4kvh+On6LK4YMz/S70T0PwL4O+nPjwD8WLXrl1PZoXP8CoBfAYBTc+/twOoRmKSwJ5aqK4zg17WK66EwISXeh7ouLjfhdUwBXIwS9Sh1lr8lrVm/l7ootYfqdsWCWHxnVp2/5pyYVKtt5mq/1Fc57Z3LgcTl2ugtGKVr2xf5lXPW5yrn12dEWbd03xpVCp5ew02tfiDBQGbM3vu9Dx4TxVel0ZvaT5EdxK9qHwMRhJqhm5mqe/jTvVVuNFgQ0ReZ+fvpz38bwP+Tvv86gP+FiP4biIPzqwD+8Y1bVyVF0YQFy5SHNuEo2NIUZ/Gm0KkyZSmuwSX8hPaIFWcmEeWwotZzrdBpQzD7Ycqa3dsVvIFRvAKXN1h0JHU1hJiwFdpetvTuQqctpiSuVEKdGWfRMWJHCJ6K8G7CM0RHWYtCB0mw1KP9oW1869BpPq4MCmFWnohQZVjmtkYjgzwTwjxmXAmlcG7ouEgK3jB0ulj0GZnJ84BmMcJvbHZmAmVGoWWLhUhr7hIs2zUh9c2stL960g+FTt3C48uLF/j9xft5v7uLLXbbchMsqtDpvB3feej0bwH4BQAPiOi7AP4KgF8gop9Ol/P/AfiPAYCZf5eIfg3A70H65y/eKBJytKMd7dbZGwcLZv5zB4r/p9fs/9cA/LVP0igAwk1RU71Vswx25o2gLEF5Uv68eo70Bm9MAmVJzF3fJmwtYiehU8q8mDbXrzocbOU759lHhTzUN7S+5VrkN3HoypuSQgIccUkVFz5Ik1GYYQLKojRrmL6NY0OTzMvQlP0ySvHAMXpNUu8UH1HPLDIoaxHhdxKSVFSlLkOk/xSUVU4TugrBmenwkaUEapk9YFpuvPyOIYUvw6Is5sPy9YlkgSSRDAB45eHTDEBmD6r/Ua49ziNCNPktntuvMwtFlqZZTGwsHp5cSq4HBJl5stri2brBallCp2t6RSKZDZNEsueLlV7aBNQX5xG08Aidy+Wr5Q4/tfg+fmv1lVzPB6uXuNh1BxPJls2A88UMDxZVwuaPhG7I6zg3a8ZuVQ6LyE66t2GpFt5FQHkfi+8gOTgjC/M1xPmYB4U3GVcPnY4ZqR45f1mDm5Ck8ioHJ8WEAUlr/aLzwdOH+VO2K+zR1XS48GISyKc2VgOC+l40OW3q+2Bc8cu8QU3siuXjKdeHijYuOyoCwMqZGapr8gUUp7+P8WUp9NbtSTYGm+uOTPDp71j5MvQ718cAsi8AFQlTrk+e+LEO1xuZsGOXzwEAPhqpS+u7Id/mIbu9g8W+1YNHxMTRmAlf9EGOKTpRfe6fgyooMii9BauHGSREMhQ5g4zYUJYwtKPejJLRmbklUh3GV84qo3WWSEBNSqvbKJZroSgIwysPmEYCRi4PZbIwlogBIA9tSPuFtO+hYwDkaI7ZI6FlU8GOdfI00JXBtVwDl7ybqo91m1xLhcDUSISb3tR1uRk4RZ3SA5AjSqlt+vPWaEh1GAaCGRIjdkQZuKOwTlWUpdKerUnREDONhthpNEQZrszIuOjbjMQMTiDcNJgMuAIgUY9I2KVR/8IGgXuPAvf2CgDT9tjq/rFSXySXoiFSvt01eDycYhjLY/x0t8S2gnvbyiex8w67TYsnm8IHED538oUMWTLsj6BK0AsUdCYqL3u1H5x5u5lFHUwhunpMzYZdefU/sR04B5vk/a7KCts1T2Ykn1o7rtm+iaO/nlSlNueBMBYPft5vb9bxqjpu3NRU/5U3LzGQQpFspD4mAG2cDNxUDR6fxPbYEye5HtMGlzd9XhmbiK7x2PZ7mXTEuXGvmxwY4oP1vUXQ7tp2KwYLMkYeeF9eadQ24MSMBUCYq5LF1hYItk3e7hjBp2nE9G/2qWa9jEHCbOrFz+vyVYcwE40OXQLEmYXdXo8spNbrzFSOFtnzLrR4dScI50NIMPRxSXC7wqnp87raTng2P22LrlDHabv22b3ZsoTraLofSNqtuSV6fRQEvp6jFjdsv2IxMiaDpg/TBKuhyxCG8Ex6Anqbo11shWeTXcnIvalZE3PdVLXRVu3xabajUQ9rIloH+GCw7VucLKTTXnbis+AKsv6qAc0eoMfrrIe1DCKWd6j99NasRz6Lox3taNeyWzGzOGTsU7ZoK9Ozml/TXuwyd6YFQP0wHfViBJ3vwNutZBdut1fOMftYFn6m94AxgpIcIlxieja9h9tamCGUugiwz9cwmxbNeUoAer7GPDLsc/Ew80ZmQKuPfOZrzPibriiDNRc+k9CSZ7idIPw0G3bxcRBx5Y2B7QPcZVozbz1mz0jYs/rpLKfrHMK8TAuaFz26zsH0Hl2Kshw6BgDoXNp/9q17U5QnoYr8SNH4hOC2jGYTyyyHAdcnBKy6Vyokpx0LCjVclGxbzVANe4S8dbntI7rHa5x9o01l6reRGZcuE2NKhhPyYjmP2xVk6fDUYf6xOquB5oLg5waLxwWh2z8ycD3DdzQRKdY6tV3Kwn3y4Q4f/pP3MsNV6Bz8fIazF1VSGASZSbHgKJ4vVuLMTC9+nVGsPpS/o6XsX4pWsl5jazF/EnL27sfLE/za05/F7HvlMf7m4hTugqCCTedtaYPxwMkFcH5SCEFofWTKOtrRjvYp262dWRCROB4Pb8xRAzZmirJ8W0uoTE7nVLwBm8RSNSLrkdRKTm++gGotreekss5nZ8r1WZTIiyI1iTLKNFrK3njeo/v/tI2T7yH/bSj7LJSti03yyZjC4EWhOGp572VFND3P2+hrTtpmrn6yRYY75xlc5RuKo7wR2UiZzpIsxD/FlW/pxiFpUzkh0/Xv92O+H6g6JiJNjYuvTCNJsamiIY6AQ5KFBMDwpL+1DnX88gRH8cnum9szWOzhKjglcPEhB40meAElWaxKGLuWsrXu4iOISaIOKSwKQGQKh4S1SNT45i0GizrfA3pOYyril6JfYrzqkQKkEn+jkMiwAewYEdPdZIYAM15/6vi2Nmk3ADCDNBSalxWSkEWhSOkJ5oInS5iclMecjlHn383bJvWXz3rZo+A74ysMS/pOQUh8XM/VsdMEt5vaJIQcS9h80o/7uTSh3ocK/4aGsmMJs/Mr7mfFmdTtj1zquZo788nsuAw52tGOdi27PTOLfTN0NYBdb9MpPFH5W8FTkov3etMdbL2kKdN9mATEMQZIs5taAexNVmMQ8hLClKVVvZyISY0LgavlRgXFDjRZ0rAzwCsEdD+xVcun3PY8vd9bhthK6QycaOn4yjJJ8QysYcu8/e0AF7kPJsuQ4iQs/V2WIZRmDzi0DEnhanWG3nSGwaZaWqWlEZtpPyLhPepjKF5dsmTFM0d5RhEbgj2gIs+HliGoloIBmKbq/ggsQzhG8DiAEp8bRwZvkojQUyHpsvfvCZeEtYKj2KZgvjXCvdk24B98XE76Y18UucLlHJT8GdQW4EtIDy15GVjGOx3cEMv09eMXaLbCs0GXEuGg1QLh/gph7uAX8gt1AHYP50ik0LDpvLGjDN3NKd4OOXrQrMvDYweWm8QSmkdCeRYW99A93iAsW9j1gLCUtruPLwA6xfqDDq7iMQCEErDGYMxaIyJDm6bQ8l068Y+kCMK4TBocmztABIYlodlMTntFom88kSVFtMi4hegENt1tI9z66lMX2/YK/+flBxZ2l2DPldYpCHBJ8c3PALezYHOSBZqUYNdt8UatUwrA0IqqeZgBs5clwjHOLUwAmq206+VPOvR3GXZr4FeM4Wl5CjV3R3VS+nsJSzHMMNwPsP1U65TCzbROFaVa+yhsYFz+uLRhPLEwqrd6P+L0/Utcrq+nddrc6bF7MoO5V6KCsbv+gH0rBotrWS0NUNP7v4LuXx2fbOngeKrOQ/VDZCkATbTaryN9spG36ZUU9b1Zx5uo+jVBDBD/RE6HrqQE5NwGJn3qdm0nV+dnopT2Xl+jlEVH5aFuZKagSMIMwCICDE/o+fN59mn6OxSK/mqbUPYXx+yr+kOvu05RrxPgmIq/I7aE6MUBWFjBU5PjNAFN6fknlq6TYnqQJ3KHKS09t6cMCqGt6uGUYMdAzMlwnGcRtPTwKWQd5pJK7neEuKgGx8R4rg8vpVT1SNNHUJMVr/TfTFLwQ2PzTCouIh6s1jhflPDobDVgVwkHUZUmP58POJ83mFdp6/i8JpJRl34d76cZp4BEJJhhTk+AXQ9OjNuUvtOuB1fHUIwA1UlCEK3T5Mh0LxPOIumgti8czGaEGZPWaTqnfte6yM8l1p5zNCLcNoL6pIua2JS7Z2PGTKiZpD0q9Y0waSnhtiEvT7TO9sUIs+7hAsPsBrh0HbTr4V72aM4c7K6+GQnEBOPLw+C2EYCR9qWHprkMk+mxOuFU5mD+5Corud+bWZjRoHsp+9Xb3Jal3ZurWqedo9wfet1+1hapwxGTmUUuV6ckA4tHepzU6XY8mUkdQobahElwO1Fr655VyTPsEDpC9yypyN1pQVEQqOOO0D1Pfc6ijEYRWZKSPIk2a2C035phnia1Ivdg0J4Dw2V5vDSfQ/Ekqg9S558AwPzJYfTxeGIRGotmUxyfiw8dvslfwOI7pZ7hxQqL86pPKsHriwcN2ucG600ZXPAps3v/cGyP9WoSSg2xGuLT9yoaoqY+giISJPkj7KzQ8QEZGk5jAIUA0s7Tc+p3rSsnkx3oZEvg5DO2fYmi5M2VH4bGkOnhaAwZwJUp/MYAeGlT/kzbKQSh8qsHQieZoGb/TaFhtBy1YMTW5GPzOr8x4MDyUA1x7xzTaw1dtV+1zQ4x9+OVrqn6w1bJcJpsZnwJH8cqjd54Tmt7ygNIOed+IsuVanP0w/YMuy0yBUAlp9hXSXQ90gyoTuLTyEmJ/thB1Myjk6WJ0vNTkGiR3XJm4a7bSlU2rJTvtXd3+E1vekikZawAZxvAXdiJhCRbmvxdJysOQZZD9czvbcLFx2jI0Y52tGvZ7ZhZELCvom7eew+IQRyaQHZ4+idPYX76j4EuE/T3ZAH7skE8mZeRj1lms704PvMM4aNMHYrtvyoq6s2lBwywediK2vhK6ju7fIDxLKmoX8rw71eyTPILB5/2cxtCmBG4S38/Eofssz/5Y1koR63WDVk8cZWKOmP7nhEH2sUDAMDFT84xf9LBLwzcZYBPjsj5osX2CzMMS4N2PZ127+uGLB8zxrnICao+CDt35RgAWP1z6fsf/CuLyZvpkG5If4/RPXdoLg+oqD9z5S2qb2ZmbB7YqyrqS8rT+qIbkvoktcEvZJ+zZwGP/5T2f1pabM2bdUPWqhti0L8XEJtZbtvuPsGvGKtvS9nuAWH3QHVDprOmXGeSNNw9kLqWH4ma+bMPp7ohFx/fTDfk4+UrdEPui27I4kOX+2b7c2v82a/+Hn7jGz+V6/ng3jm+9/SwbsjDdsTjO6d4WOmGfDQ/vOw5ZLdjsDhg5CT+xGkNryI4AOBXLVxacoRVCzN4+JMO7YWmdDLCqoMdff4EAGzKOfq7isoUEZvtfXE+9mcJ8z9vMJ42Mt1PIazxtAUMoT+z6E9TfsOmxea+hdvI4GWfyuf2IcFfpOakafe4EmYmuUCDMZEiNWvC5ouyLh9P5Rq2DwwoOPg5oXWEYaX5FC22dy2GM7qSfTqeEMZqOUrBYjyR/caTFEk4cIz0ozyImw8iXD0IUWmzZla272+wWS3QvDAYT/WOBpoLIzwQuzIlV9s+JIzr0g8AMJ4xmotUdjIdWOvy5oIwe+6w+0pSmD+Re2K3brE43SEmhur7iVvSmYjGSuUfX6wwDBa7bYMf/9JT/ODJB7lt/fsB5s6A7U5CKtsPPE6/eIHLyxlWqx3O51VexYk4CoZ0j51+UX7c7Yd38Rf+yD/E32z+NADgC8sLfPXkMf7B6R/Gzz78dj7+w/U9RBC+vBDJsZ9afB87dng8nMJU4c1fe5pkdgwXYh/DOH3/Eg9Wa3yTvwB3Iffun/3q7+G/++D/xF+uYr4/f/J1/Oa9r8EQIzLhJ2ZP87Z77hJ/7+4fxS/e/f1c9p93e6Gv19itHSzYB0wILsbSIXY9gnYpuauxQD/Arl1xikaGvexBuwH20oGSE5Orc3QvZF+3CQAB81bkAPUGNzsPt/YwPoKSNKHb2MT43cAmFGVzPmDx1KA5lzq0rvljzo5Chdy6LcGnhLDZswi3LY46TuhODTvOnjm0FwF2MJI0lqIDbu0xe2lhB0K7ni44h52ZiPkungYMO4N2HTHs5IE6dAyAPHtafP9kugY2xcGp/o1hu8LsJaG9QE68AyQcPHsWi8RBRX7D1uSZhdtp+LjMLHRwUKvL3YbRPffovisDmuqVdjugXzbZV/F4LlOgmvzGrC3MQOh64NvDe7iTHJEUWAbTixlmT3Rwc7jcnsFtCJeLDosn9cyizCQB4DIpkL33ccSvfvPn8PxDoVJ4tDjD11cP0T9eTJTCxq1onSq57m+tvjIhv1HTpLB9rdPL9RnOFydYfKfMLH7jGz+Fv2w8/s7/+8fz8b995yv46OnZK7VOHz85xT97ULRRn/XfwnXt6LM42tGOdi07DhZHO9rRrmW3dhkCQ0CtllTR6nFjMtybVRdkL8mLWycIzvS5fw5ldDaDhEP9jIRlO7N7C4Rczp/OaQjcGISZxZgQkV0n37tO41mJ6WpBJZSXZth+TvDJIRjWlKf3FJMTkZGvy3cCBw8twQ4FwMVG2LrHJU0U0wFxGI6rMp0fL0zeT52Kh47R/pK/92DKVJx7ugzxZx5mcPCBig+GAWKCXxOa5OMJGhpmuXZd4qnfZDwp/hxfaCHzdWo5G0KYWfiV+qnkRNFZxFXI/WxXGh/m7AcYqUUMhLgxsCcjQkI3EotzMywjQvrthlNGvDtibB146TEMFeI31R0VxHd3TP3V4qv3nuC3z+UCFssd7i83+M7g8MG94kh8tpmDmXA3sW1/sHoJHw2e7uS4zkrbv7kQ9WemklvJqb7ZasDwYpUBgB/cO8fPn3wdv33nK7meP3nvIzBTZvd+uLjI286aHX4HwJ+4//1c9nX3I+DgRKzgcsAEpGWGkP+mMYJ8AA1+wsFJgxd8QvrcP4dNEF8BWAm82G1j/iHISwZqnYlqhgAYgm1M9reaPqDZRph+ittoNoxmD9wkbaO8Xc1tGc2lDC5aV7MVHAM7ATEpoa0ZA1wfEdcmw5TzqfdQrM02go3Jn1p26Bga5GZtLnElGkL7KeCNQ3NJaC5LoUZDmi0fjIY0ayr9oc2k4rPYz46sy92GYXcBzXki6vEaRSL4ShApDIpyBcKVaAih77rqvEBzLgOplrXnhNg2Eg0ZGrQVuMl7dWgn5GsadJo14+tPHiI+k4HlYmex2zWIz9qJmrlGQ1QA6GLXHYyGOPXd7EVDYttg11sszguO4ntPz/Cb976Gj6roBzNNoiHPNwUPP29HPH5yit+p+rn3108Bvr2DBYDXso7ubyN6/f5Xjk+fBgXsRVVCUL1PVj+7WSJOBj5ROWedaDQh7KWyb064MlQd9xqej0/LqtMfJOyl1L66v+KBsvokVF3vTZs/ja6muricMJdzGZBSVEH3nSSxaVs/YXcS8aRtxvDVc165XaXdxnC6dXmynxINA3htSr8Q9pYXj56HDIMjTSItn9Ru92DxOpbuQ2zctSbpG8+dPiOyIM1E66Pep9ZCvcGAUd6w5Zy1bkj+Xm9npJBtmo/mfZVt/B0OGFX3TVYksWwv+qFVe/fLqpnFRNv1pvcvTz+v8DXk8pKxqcQ4um+RI0D5vT/h87SvLxojXT1n9dvmY5D2RVkhX7kngAlL+r5FpnyO+rycyuKNR+ardrsHi/oNWquJ1bqmKdWbjZnsf11FMnaUkrBUvauq2yT4tvpHksbqtRTJmpKRmbVv2pKUVeuSGi/ficvxoUkJazYllGWWqpLI9k4UydppqjYTSp+kSwwzFgW36npkCSXnLzoj6cFkmqSH58+3VSRTfVFVB+MExNKxXgFGhBw6jSH5ogDwLCA2Nh8bs9ZpSSS7iSLZncUWL+YCHnFzj9Wix/N5OwFEMRMYRXv0zmIL5qLroSzcypnJhstASHxQkWw+H/ATs6eT8OjDxQWeb+YZZ3FvWdaUn1SR7BgNOdrRjnYtOw4WRzva0a5lt2MZwgBimJDfqOCQ5ou4L34BHCPMcgkEBiU0Zo5YMIMvy/Qqfvk+KAjsO/NqqtiyMVMfAAo8Oa+zNztBh6bvgKBFt19aws+EVAYAxpMG/ZlBey6kMuZeCX3Va+t8qUbrLWVZAJcAu5apqx1maDYebBu4rUd0yWu+GWH7DuMXaRL9YCN5FL6ABtHvDIbTJKycYd5GWKRS/eOplPcPl7r5qgNy/5Vi+arfIR1jB75CcqPXaJMkoS45xlUVIl0J4xMFWb5l3o+OER1h89CVdqmQD5Ljd698v13sWPY1PMlUpUAgX7hBxzNGc6fH2DQ4ebDGZZTfEhHgZQBGys5GezZgNhtx+aUzPGyGXLdrAloXAMuYtyVVXyUGtWzZyO+889NHsCwBp/Hr5k6P+XzAxYMGQ7pfHrYj7rlLqS/ZWbOb1Kv1AMAvPvg6+vA1fO2shE7/kb0+PdjtGCwO2V6aM/uQQ6l1OHQSIq3DqzsP9APMtsC9MYzJWRlgd8qtkEKd2yjhOe0RPWf6rnU1lx6ILj/0bu3RnVuBaRPBJI2RZs2vDW3uhzObBAPPIcwUjrWNyZ+63e4Cmkt7JVHN+BJWBIDuXNK7mzXDpy5oL6M8oMlpa5LGplt7CXFelPCi2n5YM3QGzYWEN+ttbsO5H/etqUK9et3tuclhQFMR7jAJdBzQRDKgOw9oU+i0DmP6iirAD1PmMN1HP2PboFmXa/MX4s9oEgS+fW7Q2xncxuBiOEH3pPg3/NYAsZyvtx02tsOdp4xvPrkP81zq3vUW/baBed7gsT0t15TykvrEbna+SMlrmymz0MkFDtruyQznc+GjUNatx3dO8ffu/lE8flLq+R1g8rfWAwB9+Bq+/fheFmUGgO14tc9eZbd3sLB78SJDEN50TIBWE/BVdUxsLawV+UFO+1IIGemiMoF2lBtlnBuQRwZbIZ0TwKSu0FmEuck0daEzGBeE2FkwAS45Ct8EmlLAFAABTaXyDI5KQK8ws7BjzO3l1gkorAZ9AVDpwBrcNG4IfiG8DLmuYITfIr2mMyjLGTCmQCm1fcDUeCfC9hZspvWxIYwXJnNn7F+79kfOOl1VQK+lcGISp1CyOnrnEu70M4PhNP12FUBKvwMAL69WPKb+jM4I4GpZHs7xBBiXXNpzGmHuDfCtQ3M6YOw15g3EZQC4SEXQ3QFkGX6xwB968BS/eyHTpdlqwNlyi0fhDO9X2Z0v14J3OEvJbupkrEWKgakAUG3m3oD5osd6c5Idsg8fnOMX7/7+JNfjT9z//gRHUTszv3b2fYzB4qfvfzeX/Y67/szi6LM42tGOdi07DhZHO9rRrmW3dxnCe06yyKUsVhR6+j3GyTGUaPYErl3R4gEAcxHMSZ/Gc/53sI70acYIMxbyWRMYdmAYdaKmTzsU0lk1OxBi8h0Yz7ADVd+R69AySu2hvXbJ/pwdhlJxwnZUOAo7MMKQ2MPT0knsJFEAAAFJSURBVNSOZboPFFo3CoJXMANKW7RJe8tas6O8X71Nr3n/uvf7Q6/b9qX+6KZLH6dK7IZgE9Wd7ZXAR4+n/B0Awv7SNbVV9/U7O7k2MwDWUe5H0xPGjYPZWoy2QbNTOCXA1goXZyobNg4w0v4nmyWQWMp72+CcGNhZnG8qf4H6KvY8w/U+2qZDFjYOW2LYXfFZnG9m+Fb/3uQc31+cXjmn2rebe3i+meO78zu5zMfrzxeIr4N2fMdGRB8DWAN48sNuy2dsD3C85j8Idpuv+ceZ+b3r7HgrBgsAIKLfZuaf+WG347O04zX/wbAflWs++iyOdrSjXcuOg8XRjna0a9ltGix+5YfdgB+CHa/5D4b9SFzzrfFZHO1oR7vddptmFkc72tFusR0Hi6Md7WjXsuNgcbSjHe1adhwsjna0o13LjoPF0Y52tGvZ/w9d3p6xIk1iNgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 39.7978618144989 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 0.001} is: \n",
      "[[2.00000160e-05 1.20000000e-05 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e-05 2.00000160e-05 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000160e-05 ... 2.00000160e-05\n",
      "  2.00000160e-05 2.00000160e-05]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.00000160e-05 ... 1.05200103e-03\n",
      "  1.05200103e-03 9.84000752e-04]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000160e-05 ... 1.05200103e-03\n",
      "  1.05200103e-03 9.84000752e-04]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000160e-05 ... 9.84000752e-04\n",
      "  9.84000752e-04 9.22000804e-04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f2198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 37.74085330963135 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 0.01} is: \n",
      "[[0.00200016 0.0012     0.         ... 0.         0.         0.        ]\n",
      " [0.0012     0.00200016 0.         ... 0.         0.         0.        ]\n",
      " [0.         0.         0.00200016 ... 0.00200016 0.00200016 0.00200016]\n",
      " ...\n",
      " [0.         0.         0.00200016 ... 0.10521032 0.10521032 0.09840752]\n",
      " [0.         0.         0.00200016 ... 0.10521032 0.10521032 0.09840752]\n",
      " [0.         0.         0.00200016 ... 0.09840752 0.09840752 0.09220804]]\n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 38.34471583366394 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 0.1} is: \n",
      "[[ 0.201604    0.12        0.         ...  0.          0.\n",
      "   0.        ]\n",
      " [ 0.12        0.20161616  0.         ...  0.          0.\n",
      "   0.        ]\n",
      " [ 0.          0.          0.201604   ...  0.201604    0.201604\n",
      "   0.201604  ]\n",
      " ...\n",
      " [ 0.          0.          0.201604   ... 10.62461674 10.62462998\n",
      "   9.91626513]\n",
      " [ 0.          0.          0.201604   ... 10.62462998 10.62470302\n",
      "   9.91641722]\n",
      " [ 0.          0.          0.201604   ...  9.91626513  9.91641722\n",
      "   9.3027898 ]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 38.08292031288147 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1.0} is: \n",
      "[[  40.   12.    0. ...    0.    0.    0.]\n",
      " [  12.   68.    0. ...    0.    0.    0.]\n",
      " [   0.    0.   40. ...   40.   40.   40.]\n",
      " ...\n",
      " [   0.    0.   40. ... 5812. 4962. 3816.]\n",
      " [   0.    0.   40. ... 4962. 5996. 5030.]\n",
      " [   0.    0.   40. ... 3816. 5030. 9688.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e59b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 38.2300386428833 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 10.0} is: \n",
      "[[4.16200000e+06 1.20000000e+03 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+03 1.61616200e+09 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.16200000e+06 ... 4.16200000e+06\n",
      "  4.16200000e+06 4.16200000e+06]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.16200000e+06 ... 4.58167818e+14\n",
      "  8.59206324e+13 1.21226362e+12]\n",
      " [0.00000000e+00 0.00000000e+00 4.16200000e+06 ... 8.59206324e+13\n",
      "  3.57910702e+14 5.91280962e+12]\n",
      " [0.00000000e+00 0.00000000e+00 4.16200000e+06 ... 1.21226362e+12\n",
      "  5.91280962e+12 1.68787581e+13]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACn1JREFUeJzt3c+L3Xe9x/Hnqz+MKIoNvYbalmuRLKwLhzJUF0UiBftjk7opdWOQQly0f0Bd1aUbEQQtRAiNC1uzKc0iWEs2XamNEGvqtRg0pYlp4r0VvSg32uTtYr6hhzhz5905c853Zs7zAcM55zvfM/P+zDRPvt8z55ymqpCk9dww9gCStgdjIanFWEhqMRaSWoyFpBZjIall9FgkeTDJG0nOJHlq7HlmJcnZJL9OcirJyWHb7iQvJ/ndcHnL2HNOI8nhJJeSnJ7Ytuoas+K7w+/9tST3jDf5xq2x5m8mOT/8rk8leXjic98Y1vxGkgfGmXpjRo1FkhuB7wEPAXcDX0ly95gzzdgXq2qpqpaH208BJ6pqL3BiuL2dPQs8eN22tdb4ELB3+DgIPDOnGTfbs/z7mgG+M/yul6rqOMDw3/ZjwGeG+3x/+DewLYx9ZHEvcKaqfl9V/wCeB/aPPNM87QeODNePAI+MOMvUquoV4J3rNq+1xv3AD2vFz4CPJbltPpNunjXWvJb9wPNVdbmq/gCcYeXfwLYwdixuB96auH1u2LYTFfDTJL9McnDYtqeqLgzX3wb2jDPaTK21xp3+u39yOL06PHF6ua3XPHYsFsl9VXUPK4ffTyT5wuQna+V59zv6ufeLsMbBM8CngCXgAvDtccfZHGPH4jxw58TtO4ZtO05VnR8uLwEvsHL4efHaofdweWm8CWdmrTXu2N99VV2sqitVdRX4Ae+damzrNY8di1eBvUnuSvIBVh78OTbyTJsuyYeTfOTadeBLwGlW1npg2O0A8OI4E87UWms8Bnx1+KvI54G/TJyubGvXPfbyZVZ+17Cy5seS7EpyFysP7v5i3vNt1E1jfvOqejfJk8BLwI3A4ap6fcyZZmQP8EISWPmZ/6iqfpLkVeBokseBN4FHR5xxakmeA/YBtyY5BzwNfIvV13gceJiVB/n+Dnxt7gNvgjXWvC/JEiunXGeBrwNU1etJjgK/Ad4FnqiqK2PMvRHxJeqSOsY+DZG0TRgLSS3GQlKLsZDUYiwktcwsFu/31aQTT4FeGK55MeyUNc8kFht8NemO+IG+T655MeyINc/qyGLRX00q7Tizegbnaq+u+9xaO38gu+qDfIiPZvdCPUPMNS+Grbzm/+Nv/KMup7PvaE/3Hs7jDsLKD/O+995MSNKc/LxOtPed1WnIuq+uq6pDVbVcVcs3s2tGY0jaLLOKxUK8mlRaJDM5DVmgV5NKC2Nmj1kMb1J6fFZfX9J8+QxOSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktdw0zZ2TnAX+F7gCvFtVy0l2Az8GPgmcBR6tqj9PN6aksW3GkcUXq2qpqpaH208BJ6pqL3BiuC1pm5vFach+4Mhw/QjwyAy+h6Q5mzYWBfw0yS+THBy27amqC8P1t4E9U34PSVvAVI9ZAPdV1fkkHwdeTvLbyU9WVSWp1e44xOUgwAf50JRjSJq1qY4squr8cHkJeAG4F7iY5DaA4fLSGvc9VFXLVbV8M7umGUPSHGw4Fkk+nOQj164DXwJOA8eAA8NuB4AXpx1S0vimOQ3ZA7yQ5NrX+VFV/STJq8DRJI8DbwKPTj+mpLFtOBZV9Xvgs6ts/x/g/mmGkrT1+AxOSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktawbiySHk1xKcnpi2+4kLyf53XB5y7A9Sb6b5EyS15LcM8vhJc1P58jiWeDB67Y9BZyoqr3AieE2wEPA3uHjIPDM5owpaWzrxqKqXgHeuW7zfuDIcP0I8MjE9h/Wip8BH0ty22YNK2k8G33MYk9VXRiuvw3sGa7fDrw1sd+5YZukbW7qBzirqoB6v/dLcjDJySQn/8nlaceQNGMbjcXFa6cXw+WlYft54M6J/e4Ytv2bqjpUVctVtXwzuzY4hqR52WgsjgEHhusHgBcntn91+KvI54G/TJyuSNrGblpvhyTPAfuAW5OcA54GvgUcTfI48Cbw6LD7ceBh4Azwd+BrM5hZ0gjWjUVVfWWNT92/yr4FPDHtUJK2Hp/BKanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjoZ3phhtXPrRpjIWklnX/VwDStnT1ytgT7DgeWUhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRbSanbie2FMuSZjIa1mJ77Efco1GQtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCmtINn/302CPMhbGQpnT1V/819ghzYSwktRgLSS3GQlLLurFIcjjJpSSnJ7Z9M8n5JKeGj4cnPveNJGeSvJHkgVkNLmm+OkcWzwIPrrL9O1W1NHwcB0hyN/AY8JnhPt9PsgPfRURaPOvGoqpeAd5pfr39wPNVdbmq/gCcAe6dYj5JW8Q0j1k8meS14TTllmHb7cBbE/ucG7ZJ2uY2GotngE8BS8AF4Nvv9wskOZjkZJKT/+TyBseQNC8bikVVXayqK1V1FfgB751qnAfunNj1jmHbal/jUFUtV9XyzezayBiS5mhDsUhy28TNLwPX/lJyDHgsya4kdwF7gV9MN6KkreCm9XZI8hywD7g1yTngaWBfkiWggLPA1wGq6vUkR4HfAO8CT1TVDnybZGnxpKrGnoGPZnd9LvePPYa0cH5eJ/hrvZPOvj6DU1KLsZDUYiwktRgLaQt46Y+neOmPp8Ye4/9lLCS1rPunU0mz98AnlsYeYV0eWUhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIW1nab3J1aYwFtJ2Nse3xTQWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhbSaG24ce4LNN+WajIW0mqtXxp5g8025JmMhqcVYSGoxFpJajIWkltQcXw+/5hDJn4C/Af899ixzdiuueRFs5TX/Z1X9R2fHLRELgCQnq2p57DnmyTUvhp2yZk9DJLUYC0ktWykWh8YeYASueTHsiDVvmccsJG1tW+nIQtIWZiwktRgLSS3GQlKLsZDU8i+HQHTUHIvJaAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e59b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 38.85551071166992 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 100.0} is: \n",
      "[[4.00160020e+12 1.20000000e+05 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+05 1.60016002e+17 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00160020e+12 ... 4.00160020e+12\n",
      "  4.00160020e+12 4.00160020e+12]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00160020e+12 ... 4.48100809e+26\n",
      "  8.00584079e+25 1.12091211e+22]\n",
      " [0.00000000e+00 0.00000000e+00 4.00160020e+12 ... 8.00584079e+25\n",
      "  3.48098011e+26 5.76151612e+22]\n",
      " [0.00000000e+00 0.00000000e+00 4.00160020e+12 ... 1.12091211e+22\n",
      "  5.76151612e+22 1.64839642e+23]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 38.63768792152405 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1000.0} is: \n",
      "[[4.00001600e+18 1.20000000e+07 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+07 1.60000160e+25 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00001600e+18 ... 4.00001600e+18\n",
      "  4.00001600e+18 4.00001600e+18]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00001600e+18 ... 4.48001008e+38\n",
      "  8.00005840e+37 1.12000912e+32]\n",
      " [0.00000000e+00 0.00000000e+00 4.00001600e+18 ... 8.00005840e+37\n",
      "  3.48000980e+38 5.76001516e+32]\n",
      " [0.00000000e+00 0.00000000e+00 4.00001600e+18 ... 1.12000912e+32\n",
      "  5.76001516e+32 1.64800396e+33]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 39.028568506240845 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 10000.0} is: \n",
      "[[4.00000016e+24 1.20000000e+09 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+09 1.60000002e+33 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000016e+24 ... 4.00000016e+24\n",
      "  4.00000016e+24 4.00000016e+24]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00000016e+24 ... 4.48000010e+50\n",
      "  8.00000058e+49 1.12000009e+42]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000016e+24 ... 8.00000058e+49\n",
      "  3.48000010e+50 5.76000015e+42]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000016e+24 ... 1.12000009e+42\n",
      "  5.76000015e+42 1.64800004e+43]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 38.40130877494812 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 100000.0} is: \n",
      "[[4.00000000e+30 1.20000000e+11 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+11 1.60000000e+41 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000000e+30 ... 4.00000000e+30\n",
      "  4.00000000e+30 4.00000000e+30]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 4.00000000e+30 ... 4.48000000e+62\n",
      "  8.00000001e+61 1.12000000e+52]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000000e+30 ... 8.00000001e+61\n",
      "  3.48000000e+62 5.76000000e+52]\n",
      " [0.00000000e+00 0.00000000e+00 4.00000000e+30 ... 1.12000000e+52\n",
      "  5.76000000e+52 1.64800000e+53]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 37.19001770019531 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1000000.0} is: \n",
      "[[4.000e+36 1.200e+13 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e+13 1.600e+49 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 4.000e+36 ... 4.000e+36 4.000e+36 4.000e+36]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 4.000e+36 ... 4.480e+74 8.000e+73 1.120e+62]\n",
      " [0.000e+00 0.000e+00 4.000e+36 ... 8.000e+73 3.480e+74 5.760e+62]\n",
      " [0.000e+00 0.000e+00 4.000e+36 ... 1.120e+62 5.760e+62 1.648e+63]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c1443c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 36.65269470214844 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 10000000.0} is: \n",
      "[[4.000e+42 1.200e+15 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e+15 1.600e+57 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 4.000e+42 ... 4.000e+42 4.000e+42 4.000e+42]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 4.000e+42 ... 4.480e+86 8.000e+85 1.120e+72]\n",
      " [0.000e+00 0.000e+00 4.000e+42 ... 8.000e+85 3.480e+86 5.760e+72]\n",
      " [0.000e+00 0.000e+00 4.000e+42 ... 1.120e+72 5.760e+72 1.648e+73]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 36.98673963546753 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 100000000.0} is: \n",
      "[[4.000e+48 1.200e+17 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e+17 1.600e+65 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 4.000e+48 ... 4.000e+48 4.000e+48 4.000e+48]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 4.000e+48 ... 4.480e+98 8.000e+97 1.120e+82]\n",
      " [0.000e+00 0.000e+00 4.000e+48 ... 8.000e+97 3.480e+98 5.760e+82]\n",
      " [0.000e+00 0.000e+00 4.000e+48 ... 1.120e+82 5.760e+82 1.648e+83]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 36.94209051132202 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 1000000000.0} is: \n",
      "[[4.000e+054 1.200e+019 0.000e+000 ... 0.000e+000 0.000e+000 0.000e+000]\n",
      " [1.200e+019 1.600e+073 0.000e+000 ... 0.000e+000 0.000e+000 0.000e+000]\n",
      " [0.000e+000 0.000e+000 4.000e+054 ... 4.000e+054 4.000e+054 4.000e+054]\n",
      " ...\n",
      " [0.000e+000 0.000e+000 4.000e+054 ... 4.480e+110 8.000e+109 1.120e+092]\n",
      " [0.000e+000 0.000e+000 4.000e+054 ... 8.000e+109 3.480e+110 5.760e+092]\n",
      " [0.000e+000 0.000e+000 4.000e+054 ... 1.120e+092 5.760e+092 1.648e+093]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 36.80334544181824 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 3.0, 'lmda': 10000000000.0} is: \n",
      "[[4.000e+060 1.200e+021 0.000e+000 ... 0.000e+000 0.000e+000 0.000e+000]\n",
      " [1.200e+021 1.600e+081 0.000e+000 ... 0.000e+000 0.000e+000 0.000e+000]\n",
      " [0.000e+000 0.000e+000 4.000e+060 ... 4.000e+060 4.000e+060 4.000e+060]\n",
      " ...\n",
      " [0.000e+000 0.000e+000 4.000e+060 ... 4.480e+122 8.000e+121 1.120e+102]\n",
      " [0.000e+000 0.000e+000 4.000e+060 ... 8.000e+121 3.480e+122 5.760e+102]\n",
      " [0.000e+000 0.000e+000 4.000e+060 ... 1.120e+102 5.760e+102 1.648e+103]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACjpJREFUeJzt3M+P3HUdx/HnS8AajUYatEEgSkwPwsEN2aAHYmpI+HUpXghebAxJPcAfACc8cjEkJEpSk4Z6EOyF0EMjkF44qdSkYlGJjZbQWloVgwZikfL2sN+GSe26b3Z25rs/no9kMzOf/c7u+9Ntn5nv7ExTVUjSSj429gCSNgZjIanFWEhqMRaSWoyFpBZjIall9FgkuSvJa0lOJHl47HlmJcnJJL9NcizJ0WFte5IXk/xxuLx67DmnkWR/knNJjk+sXXaPWfLE8HN/Jckt402+esvs+ftJTg8/62NJ7pn43CPDnl9Lcuc4U6/OqLFIcgXwQ+Bu4Cbg20luGnOmGftmVS1U1eJw+2HgSFXtBI4Mtzeyp4C7Lllbbo93AzuHj73Ak3Oaca09xf/uGeDx4We9UFWHAYa/2/cDNw/3+dHwb2BDGPuRxa3Aiar6U1W9BzwD7B55pnnaDRwYrh8A7h1xlqlV1UvAW5csL7fH3cBPaskvgM8muXY+k66dZfa8nN3AM1V1vqr+DJxg6d/AhjB2LK4D3pi4fWpY24wKeCHJr5PsHdZ2VNWZ4fqbwI5xRpup5fa42X/2Dw2nV/snTi839J7HjsVWcltV3cLSw+8Hk3xj8pO19Lr7Tf3a+62wx8GTwJeBBeAM8INxx1kbY8fiNHDDxO3rh7VNp6pOD5fngGdZevh59uJD7+Hy3HgTzsxye9y0P/uqOltVF6rqA+DHfHiqsaH3PHYsXgZ2JrkxycdZevLn0Mgzrbkkn0ry6YvXgTuA4yztdc9w2B7guXEmnKnl9ngI+M7wW5GvA29PnK5saJc89/Itln7WsLTn+5NsS3IjS0/u/mre863WlWN+86p6P8lDwPPAFcD+qnp1zJlmZAfwbBJY+jP/aVX9PMnLwMEkDwCvA/eNOOPUkjwN7AKuSXIKeBR4jMvv8TBwD0tP8r0LfHfuA6+BZfa8K8kCS6dcJ4HvAVTVq0kOAr8D3gcerKoLY8y9GvEt6pI6xj4NkbRBGAtJLcZCUouxkNRiLCS1zCwWH/XdpBMvgd4y3PPWsFn2PJNYrPLdpJviD/Qjcs9bw6bY86weWWz1d5NKm86sXsF5uXfXfW25gz+ebfUJPslnsn1LvULMPW8N63nP/+Yd3qvz6Rw72su9h/O4vbD0h3nbh/+ZkKQ5+WUdaR87q9OQFd9dV1X7qmqxqhavYtuMxpC0VmYViy3xblJpK5nJacgWejeptGXM7DmL4T8pPTyrry9pvnwFp6QWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqunObOSU4C/wIuAO9X1WKS7cDPgC8BJ4H7quof040paWxr8cjim1W1UFWLw+2HgSNVtRM4MtyWtMHN4jRkN3BguH4AuHcG30PSnE0biwJeSPLrJHuHtR1VdWa4/iawY8rvIWkdmOo5C+C2qjqd5PPAi0n+MPnJqqokdbk7DnHZC/AJPjnlGJJmbapHFlV1erg8BzwL3AqcTXItwHB5bpn77quqxapavIpt04whaQ5WHYskn0ry6YvXgTuA48AhYM9w2B7guWmHlDS+aU5DdgDPJrn4dX5aVT9P8jJwMMkDwOvAfdOPKWlsq45FVf0J+Opl1v8O3D7NUJLWH1/BKanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpJYVY5Fkf5JzSY5PrG1P8mKSPw6XVw/rSfJEkhNJXklyyyyHlzQ/nUcWTwF3XbL2MHCkqnYCR4bbAHcDO4ePvcCTazOmpLGtGIuqegl465Ll3cCB4foB4N6J9Z/Ukl8An01y7VoNK2k8q33OYkdVnRmuvwnsGK5fB7wxcdypYU3SBjf1E5xVVUB91Psl2ZvkaJKj/+H8tGNImrHVxuLsxdOL4fLcsH4auGHiuOuHtf9RVfuqarGqFq9i2yrHkDQvq43FIWDPcH0P8NzE+neG34p8HXh74nRF0gZ25UoHJHka2AVck+QU8CjwGHAwyQPA68B9w+GHgXuAE8C7wHdnMLOkEawYi6r69jKfuv0yxxbw4LRDSVp/fAWnpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRaSWoyFpBZjIanFWEhqMRbSlD721a+MPcJcGAtpSh/85vdjjzAXxkJSi7GQ1GIsJLWsGIsk+5OcS3J8Yu37SU4nOTZ83DPxuUeSnEjyWpI7ZzW4pPnqPLJ4CrjrMuuPV9XC8HEYIMlNwP3AzcN9fpTkirUaVtJ4VoxFVb0EvNX8eruBZ6rqfFX9GTgB3DrFfJLWiWmes3goySvDacrVw9p1wBsTx5wa1iRtcKuNxZPAl4EF4Azwg4/6BZLsTXI0ydH/cH6VY0ial1XFoqrOVtWFqvoA+DEfnmqcBm6YOPT6Ye1yX2NfVS1W1eJVbFvNGJLmaFWxSHLtxM1vARd/U3IIuD/JtiQ3AjuBX003oqT14MqVDkjyNLALuCbJKeBRYFeSBaCAk8D3AKrq1SQHgd8B7wMPVtWF2YwuaZ5SVWPPwGeyvb6W28ceQ9pyfllH+Ge9lc6xvoJTUouxkNRiLCS1GAtpHXj+L8d4/i/Hxh7j/zIWklpW/NWppNm78wsLY4+wIh9ZSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqSVVNfYMJPkr8A7wt7FnmbNrcM9bwXre8xer6nOdA9dFLACSHK2qxbHnmCf3vDVslj17GiKpxVhIallPsdg39gAjcM9bw6bY87p5zkLS+raeHllIWseMhaQWYyGpxVhIajEWklr+C1snaM2NmQcwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.22227382659912 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1e-10} is: \n",
      "[[  20.           12.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  12.           20.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           20.         ...   20.\n",
      "    20.           20.        ]\n",
      " ...\n",
      " [   0.            0.           20.         ... 1052.00000018\n",
      "  1052.00000018  984.00000018]\n",
      " [   0.            0.           20.         ... 1052.00000018\n",
      "  1052.00000019  984.0000002 ]\n",
      " [   0.            0.           20.         ...  984.00000018\n",
      "   984.0000002   922.00000032]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 41.80288052558899 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1e-09} is: \n",
      "[[  20.00000002   12.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  12.           20.00000003    0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           20.00000002 ...   20.00000002\n",
      "    20.00000002   20.00000002]\n",
      " ...\n",
      " [   0.            0.           20.00000002 ... 1052.00000179\n",
      "  1052.00000181  984.00000181]\n",
      " [   0.            0.           20.00000002 ... 1052.00000181\n",
      "  1052.00000188  984.00000195]\n",
      " [   0.            0.           20.00000002 ...  984.00000181\n",
      "   984.00000195  922.00000315]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb689026d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.09841823577881 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1e-08} is: \n",
      "[[  20.0000002    12.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  12.           20.00000032    0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           20.0000002  ...   20.0000002\n",
      "    20.0000002    20.0000002 ]\n",
      " ...\n",
      " [   0.            0.           20.0000002  ... 1052.00001792\n",
      "  1052.00001806  984.00001808]\n",
      " [   0.            0.           20.0000002  ... 1052.00001806\n",
      "  1052.00001876  984.00001954]\n",
      " [   0.            0.           20.0000002  ...  984.00001808\n",
      "   984.00001954  922.00003154]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f21d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.24132227897644 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1e-07} is: \n",
      "[[  20.000002    12.           0.        ...    0.           0.\n",
      "     0.       ]\n",
      " [  12.          20.0000032    0.        ...    0.           0.\n",
      "     0.       ]\n",
      " [   0.           0.          20.000002  ...   20.000002    20.000002\n",
      "    20.000002 ]\n",
      " ...\n",
      " [   0.           0.          20.000002  ... 1052.0001792 1052.0001806\n",
      "   984.0001808]\n",
      " [   0.           0.          20.000002  ... 1052.0001806 1052.0001876\n",
      "   984.0001954]\n",
      " [   0.           0.          20.000002  ...  984.0001808  984.0001954\n",
      "   922.0003154]]\n"
     ]
    },
    {
     "data": {
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Ke5hqTEeOWZhy8Tp2IO3K56t8LaBT8d5+R2IiAOLjT+4kkIyuNgd/12lU6gOQd2D9Qw2xdLbKInU20Jk4bYwsjTFW3qmXkYwjnAHtpkCsKT6k9oyFqPeWCHS5hlyc5fECaNTB+P4jBW6l+Bupd90XBZJ9tCheFmadZz+oapwnoAbevF5JlTOmIA8OuTWL2ibv61pJHUgGYPa825cOjGFP448ur9SLVY+rPx57dDJwnuhEJzqK7oVkAeBacMg0gGrvWI7FLZftGzeEsNf9mTFzDLo6DXT2Bry1GcNL0IdUsCB7xkXrJ0za3xQ1azNxqUbJbWJu3xBKMqx4QKI79PeRlG1HzfgOrG3tgjaJJ4/ZjMZp3LwPXLsx1WsUIxArNWk6zvzJZZwijV3FKI/xuudHpJ1r3T69/muge8EsJEbI0DexIfEqpVBLqL0apGWAK8BsEmqjaEBXD86LkdRERNMzq7Dl3M8siXOij2J49NGeoY4cq6pD3BjpaDYrMRUmtlf5OfJNq2wKGTAFADGUmJI0BzpbKQCrmh+QsACLOdwXPv9i0BegIqbFOJjYPAxtuHiNQI3SenEmx2SadSpmV7+ZZ8NE3T3qZg24DQD4K1/ax2YY1Z6TmOwONrfaflCdJ26fmVOIeU4y64AnGq0rUJWOHBc70Ve/rF6pECGdLzaLyjZChsmYd6ra9APiag7a9GW8LqmvdZq+ib1GEjiLxpYR0LPt/hwA4Pu/AmFWz5jNF0A4n8NdlngemXm1WdjfvqxJ/NrnwNsxA8AAQP5pG8H9IroXzOIgHQpGsp+qYCXzdjReDzsmxgLaMjJubQ9CDe4KoXg5rM9qLBJMD4+QWPISyBiS54GQnV/Di0FT5qkAql0ZhTGhH4rnJSbbi/3eD2oBr9eIuAV9pbmSeYZs5xpHfakOSSyYeHGMpsbmYVAGNE1qE9VDcohZUCzxHjZvGDBJGwtjuCZQTczqX9tfDthUmnPyTi7q6dhVL5YZflMbbWb6kqc8JsYY8nUqbxUZo4oR9PSq6P5mxB7H4p4H9t3G1wWSTQMcbW4+BZARZQ8H7Qa4YSwennRcA/ZrvCEC7PrGS0NT290L6P4yi9r7YWSLVHk4Wq9HZflNWAzDYeQ+uZIkMJUsKi/HdldJFqXP7CHx1U4965J3o/Lve/9ib0XyVADqoTDJgtLDYh6WqWSBqNLVngRgD2n98o5B4cyVhwIDt2qMPdBjekluIFlMd3aEoPMK+y8tullZD5OoakwHs6IWo6gnon6IzThokuENJQs7VmZd+yLNZ0CF2ZHVIsPSZeaBCSbDXOm2BuIZtB0Uv/G6JItrVAc5W0IcgUIVSDbrkmRRJad+gWQRzufgjYd0lbv7wJpdR/eKWTRRp5MHtsFdNGoEDksWCYtR2zyk7/f1uJtKFobPqCQE1R1VV5Wx8rffpWQxlQCMUdWp72znPBDunb9aZjDbtWvsQ913Ta9JspAJ9oIMolzbaibr04zndUsWz6+yi5eMIeoAitSTwV6JEW97xUbctWThuLh4bQwh3kyyGBVnIv52ksXJG3KiE53oKLpXksULQ9QX84y7MAyF/pB2dZJmN8oiK3FJovveu1kfDR9+1F7c7CCW/CaEYv2vr9X5Zkcj7zUatR9AJOD33tHu3n+0v2tMkt9Ivbu4oVwXSAFd+1xfklRFq2UD5d1LpgvorslUrPMAMPTNsWZ7oXceADEeh324RfIbqfJU2ry5CrM3j8W1SWPOloiP0j27JvmNHPJWVR4ZmSa/6fsGT+FWyyIhBG7nmBCYGfhnIQIXZ8Cjj+4++U1SU+XirBh6v/MBsPYZI6OTeEHyG5fwH828jveY3Ctm8dopSnGtAq/HlXQwnXqBnNMNFv+V6Rj3bJ3QFihrUv8O6MtwA5H0tVMUCKdPxOvdgXdIUqtACfV54CD9pKTivOGEQbrZ3fKaIc3pls/o/VJDrvMb14cce3MO9RFCWbBXpXjNON/UA3STOUyljkNSyD0ije2gfVvJmyROhuA6R8bUBnWHWdavo5vYGPboFcd7PyQLAsCuKU/Hq1Vxo6EYfuIHjzRxjYmD3quBqo49ANRAaYlpEtWqh/va9+mXQaHAspiBxqAJUQDg2aWKfrEEl1HXQXa9GpGqWA5aLfILaElk+Af/XGNoAgB0PlunedMXa/kYIEuNJfGfXGq/F6tsjKJhzEYp2uwgy7kaAifZnKTzjQWe1lvFCwxjntfBcwBIStojP/JDoKGFOWeLenpxwsLDbUfQENqozSGAh1DuQ22kXHTZ8m/niEi+Vt2PpL6snYYAPHmO+K//K7rGtoZjROyK+7Wx8qex8hBBUSNiw9LDP0nGTBGEpXo0fMI2RGbEVZfnxes2qYzOMcVlrPT++w+e4urf+QvoLnVdoyPEGcNvAsZFmRPbeZ15Q5L6FwQQIM7078WHVQ5UWz4CAhFix/BPd1mN2PzbfwG7dx3mT8r9CguG20R9p6Rcx/pz24BQjSs+OR5ncb+3mBOd6ET3hu6HZHFTqpOpStQdagouMlBWuEYtsB02ZRWiYVSXmRkgDYYbK/05BAU1oYIcp3DxLOkYnHhXwuhztKYIaDT/ehX6HgXozSWcrpV0Zho1cMhwTDlvxHDACBwn+mw/aNs4FlvKoXMAREvVthnaPpjymC1i0iWJgIZKpYsoUadGNbR6KFGUee2GsYRTjy2Wo26nUYFvvEluacMoBEk7swHt0jo7zhehMYKGqOA0orwrUxAwEaTjLMWQjOpKHiPgQ85aBQAyVFnCUFzOtBvgr0JObceeEUcHtx5AY2VwtxQAlsW9Y+3DzGlp7LxL94dZxwEAjkBjBHsGb/sssXaXI8QT/LpIFtxHuF1UMSC2kgVFAe8CXJXv4iY2tk8ns6jxBMRFxzU6ZgEqXbTRT2trteMUpTeBGR9BwgSS6hp53PvfhW0caFMDOtab2YwrgZeOHskNabqWVT7L/TWrcAcsgKFaJ0AfIdmf+23HVn0K6b+8GjlvSHkptUJa8vowlXwSKC+veVHoGg/Py8dVX5vK3/UyxBY7YmoCSFUme1Ty+Fx5fq693wyIA5of03WFCMRtJnA6mAr5eLq/zGKaKLYGEnmvOTOBlM3K7dV5yAjIA7kmAEAWCTFpNovVQndry3Ox2SLnETDAkmN14c66nM+AAMj5qoRtW6j7+VKlBZsLVP823ZzXff5OQ0A40/H4lGdSVnPQegeZuQYNSCGU608zUHe+yVVAKV9DgyY8cA4AULIXje8sW5sFKhuDYYFWHm49gnuX4wxIks2iD3lHrMPX49l8zz4hZ7OcXLaOVwDQtHMfwDGif1dd66b38xARZhVz9cZEygvCgwOJHjuuHOY5bF4QzjqEWUGLSrfAeObBQ1T7wFVZq5iuw70eO57pui36EesvdZg/NYmBEGaM7sphWJWxuSFJcGmMYUaAABzS+qR2TuUihahBcw7vzBE7wuyJz+u4/uIMm88xltUajAuC31Q2Cd+ymW4TMSyreJGuZewvovvLLIDGwLkf95EWNSa//lSaMM9H7S+v+shirkGhk0icHzTzzDRitWg2JaBiDim7Uu4vian9uGfgJFNrAL1eFZ/BfSjXBIqIPwZNxkJVX6aaTI2VIs0DRimbFg1jUXkOnFOPm7dDC0EmyshaqXZP7kOTRdqYRaOaZBVFk67sQZtjzA8+T1TFup2GAPQDeJvWNon3FNR4aV7jzCy47NQ8iqoiUeCYyhiCiuSQYrSkIcKna/PEwElDa+DML04/oFvHrArEjkEj9O8adDqq9ywzupFAAUUN8frFmFGdsFeY4HtlYLwuOInuKiLMCX5dPdeB4CsDZ+wqySKogZOqR4DC5L15Ad1fZsFVsBMwkSxcm4NzHEu+TEDFYyGFbjtXINw1GMl2VBOPZ52Kg4skMVw59STUL6l32ROSJYt+0OxKlmbNvDczXyQj22Cdy1Z1ro6lGBGWnWYySlmP4szrMVX+RQDqOZl1mpl6Ks5PJAuMQduIsgRx6BwApd7nomvsP1J5Q8xmERYOzhPEMeLcJAsB9Qyuxd4KEBXnHuRbbwiigC3xzFSyqNqZGTTrEJa2NpVkMefywlkWKl8Ym9tF0MjgUTBcOHBfMqSFhUdYMLhPa0CUJAtWyaIaz3WShZ916M8ZNNrYCOOcAHiMlWTBY/J6pE7DnDQbgo09Heov0/PjuXiPHIHSi89DlxnXcO6we8ioH9Ew1yxhkrTEUDk7KCZBs5IsmlIBL6GTN+REJzrRUXQvJAsiBnUesqvEWlJzjFVgGt//IP8mfV/UkISnQAiaCg8AxoDw6CNcl/IOAPAs4RkSdJs2W/U0XKUdznZckWKwE1EchaUBBDR93uVVTqOXK5N9+GQveKgx8tVBSQD4Sdq903V5rfU7KF2XQglqou0OePTxgUA1alKmWdh8DT0+dA6AXMSp+/aBKld1DlEgR4c2UZ9JxZLFvM2+nebqprUtAOCjx/k+umsS9roUbBZ3OyxszQ1qH6XU36j7NWkMUDUuqYNz74rkGATuUu9HjtL86Ak6y/L+koS9nUUdX63xLlf5Ook0QnUY28zjlvncok6dK1nbRRDOFfpu3hDh4qUBA/yhPnd1wt6Hl5/HxbIDb6soU0d7amT+ut7mADgjd3UYXn6I7gWzOEhVxmMAaELWrVIYkhEvRG3L+Q3x0oS9hrXPN9ASnNZhxWYkNcbkj0/Yi3mp9CSNpfwAs7AHzHIyohLVLdFrnX/CO2A+v5OEvbJatPaf2jtj4CxO4f/9WNqiqh21ETc/tNVLART1yy2XN0rYG88X+fqAMj7pHGB6d1b3uAkB5+0AECHOfRsazoTYObiUxt+tFrdK2Du+u4Rbu3ztOHNwm2FSCkDtJvYsxLkv2b2BDJQy46R4AvVFDek2K0wT9g4PlxgedI0hFpSYhXlbKibsOvfpT9gL4FoD5bVp9dJDLyPKg1VjJ156vepBTh4GxVmYMVSrk1EVI0AixzufKmMmxbIz511xUjdE7BwzkAIHkZA1PuNOyHbAeh6JqWWjrkfOmk31cSGq8XecjNsYXIXJuA1lHd5MDMYkskG1xLkYg6cxKiOTCKYAMWNmjBDP4Ch73p8bjyvEylAYk/Gyxf5QSOOwtUzMg1LYQLZlJaOxDCjnXwPTphDBg4ArSWKaC0Reo6Xh/jCLl1ETDFUiGEEJlDWJdHxZ3ZBSNiDVudhNxDHDONSxKiRH1w1BVduk7Jph4i+3rDrJTSZSpblLv01yRmYmdEflC3m6DtNM2kCJuB1DVd9ECtMz6ab+bag8PSYZ3LR84bbfO5aGyhBuL2JtEI4RtBtUdRodME+G7TGCxljg5IBC929RN8Q927V1Q1JKPtdfr4ZQUkOEFZxlQm8GgrkyLrgIulzvqSHucqcMp1JDwIlBHsjubWrIqXzhiU50ojul+ytZvKjIEDvUJQWzDaEyxL3UZtElndOMdFZtvSrHJ97pjm/nMR9vs5h1Bw1vWQ2pU90hGTbrXd/+Fk7h2ybCJ//XXdksFvOJrahCdFboQkS0RjzDpHhXCvxUmBXbQfP5APiGNgtZzpvzEdW2k/u167l2nc3oK/PyjIgTwCWbRTqfb2mzCA8X4GSzgCN1925cE9iWpdTKJZxtFgLEZLOwqYlncOWypvN9m8V4PsfwYAa/rqRJVgxMlsiqtHqfCZvFwezel1qqLlp27xyFuoBst0Xs7zr93nWIT0shIn7nob6Q3udUeDlxDVDSyFlE6WKuAKv08MdPngBd16oYXafeGTNIAppSbbkArtYqgq5S1awx7MVhwPvyMm93Tf5LEn0RYor+5PMz9eQYMtXWZrsFLRbAw/M2HoaogS4DKNGmVlUbSXyu6o7aQ8/JsCkxNuXvAFRp2FL7fAba9Wo/qVPXj0G9TNNoWwC8mJe1trk8PC/jcC7HM6Cy6AuReg3OV1WsTRunka9vL8YoVexOLMcGBn/8tMxrMQN7B7pMEc2fe4C48KBRcS9m+ERErhpmqkFcdJDOwZ2p0TUzLKiniKQYM/UESfeo2iAq+4LbJC/aJ1d7awcA4XPnSZVathupeaasz44r5k7NhrT56hm6yxFhXjGXP/ysIDivoTo5r32viyXrD/bkVVQtak64aw3gPOn3AAAgAElEQVSzTh8w2zG4SvdfXcsYRQ4ZH1hvel1SD4DMuyb/IYAmhFw9B+k7U4Gfm/chJZc1AFpmMi5laOp8i+oEmhB4nW/yrkglMdluxqW/vDYiGip/Ddw7d7vodIOchKhjCIrKxD7V62HzjgvfQsAP6NniGRgJNAbEtEYlXLzdvafj1GNCPjauOtBlQSnJcgZxDpwM43HhEZYelODeNLPylYLoGSSl0llcet3F14ThovQZO0b0BO8Y47IKUU+oU4NfX5ewl9czHKKw9IiOFGRmksXKY/fQAbFKw7BwcPWaVM/DuGAgeoQalHUDQ8T9ZRZ7CVuqWJEalWnf6yrqSEwkUokdAVojVRXbAegOS6jES+eK6FlfyxiFHWfxJJb122JDEiK0oRphmdCVgO6eMk/jyQjQhAqdMrG+V5fuvGvStoGocVsC6i2IM5+iKyt1oXZj2guRmIoygnbtp+jKcJakEebmN2ZuPSQ11euRmUVXGHKdz4IAzoxFDX1uCDmHRI2mjFVcxKE4Bx7KseOZh6/ym5h0wDttC0uPceXAA2vMSKWO6d+A2+m4hpUHGHAbh/6CQQmaGTtSiDVTi+C02JAEvw7p0w2T2I1nh/NLjCuX+7Uo4PHcYfeA4YaydsOS26TiFdx7OGMIA2MdG3JCcJ7oRCd63XR/JYtp0ldzGTpNjmt2BLMpyOQcGRTVKcNQMl1VqdmtClXWo4EcFGbn532luhbtenXXGaZj16ubbbvLRiUAoOfrm9kskp4f0/X5cq19mu0j/S79AKy34MruoBdU1CJNbBY8eO077YgWZZuNmEMl6YjAfXK1Z7NojKZQUdlsFvVvNAZgu2tdjvZbVaDH5u2BYhD2LkdaNihEouz+9I9bUBeFkL9rHwf2vspm4a46vS+JXDLQms2i6xzclYKl4tyDkx2BROA9K0DOkvuuO0TP4HWPs/+PMxJSvALCeDuiW1SgrIwRMaNlUkMmeVius1nM07lc5aLwa4Jfz9A9K+7u+dxpgFyiui7IcKEArjDfj4Y9hu4vs5iqIXUVpcr70ISib3fVMTN9+WuvRFVDg1YJDWjM4XyVg8IAAJdXpRBRdS0sF3oDTI1hRrxYatRkil4FALlYvTCEPIePA8AwQsxQ9ux5GQ9QCvrk0osBtFogPliV5ChAym3Q6vC8HVRd6cds+OTdoA+sQU+SsYuhL3R496yJJgUOqyHuqgP3oVVDemUejRchkZwty3qkeY/vrvLLErti4BRHBZzkNKDKXe0QLlKI+o3UkJiPHc88FlUBnnA+h3QOPqlH/edWqoaMgnHF6J4Zs0hqSBQ4CyRLasH8Y8b6yzPMn7ZqiF/HI9WQ9mVdXpOLZfvFpfa7Kfc8LAjrzzmsPq4YwpLR1cdUasjuIWP+zGFY0cHfX0b3ilnURYb2JIthUFDKOAI9v1yy2O5KSQGLDakfYmNGN5QscLXW3Tt7J3bKKHa92g0SwyIrNFPT65QsrOhNTc41Own1gwKEarRoAhyV7FKJeV2uISJwjt+cZFGlAHD1NYiKR8UlO8iuL8bQO5IsZp7RzTtgjOgWvnhDRMsIZOAcAHelxmT/ZIOzKHcuWSwluVBrqWHubiRZzJ55+KsxRwoDyMzvGLpXzOJ1U86gldLdE8kegvFWfdaUK4ElA+zbykh9KPtUHlOLm9BAsMl5RDl4722RFf7VkOzqxa8RmXc9BkpGb6aSQUsUk4Gx8tTwvqv6rseV6QZGyaaP9KzKLR/Re8Us6iJD02IrqlaMcO+9i/DR4yJFWFGbENuoUiYA6o6zkoL83jsJix9zFu7s509l93I+inGsYjPKtWS1hObGrIrmDmO2WdDFuZ7y+MnhCM+q/zoSlJJEYpJJBLI0hRgLIGrQcdKsayWLlBqwYWZRc082GcJ2vXqKptDrs6Xuco+fZAmvXctqHgn7YRG7ue8XlC+s4ek5PqLut09jF9Ex1XMTUfXwoyfteVHa8nwvKV/I3kGuimSBdSoQlXA43HnQVmH6vCvlC5v6q5YkyKlXTBadRuoeKF/ILyhfeG2RoSrDfU3OnpXlLMd7+A8ew308a8oXYlK+sL4//N4D8G5Q+4ut2Xi8ZHHyhpzoRCc6iu6HZEEA2CFeFX2NLy4a5GFM3H/87vvwX/tqRmDSfAbZbFTyyMFcosbMQe0CtpOF9x+V/n/wz+n5KchIzpcNFNZ9+ETDzEXKrpGAUjKvMmU9X2uND9uhH+vuF/7VH9gzFIZZyVnpL3sEy185RIznCsaZfecTnefnL+Aud4oz6MeMQ3CXW8SLJQIzeNcaEuO8ywZLAHDPtojzDrwbEBOOg3dDo2oEa//2IwiA3Te/nrNB5X6TEdHE1/HcwV8GuF3MlnUSNSLybixp6qr0euP5PK+HzVuYtM4IkoGzorqdhwD30XOsv/Xn0zwTXLyXXG8DqIx1TQ5OjezkQTCcMVbvl114PPMIc8L8Y20LC4fx3OV+/WW5f3uZss51vKs/vcIHf+VrmD8xQy0hzAjdVcRwVnkdemnGGGcABGATUNObeP4dy9uKrCoK6ZzDjDF/PGj2bgCP/+L3Y/NFwvJRuaPDitCty98VXgtCQHclGM7K+ozfPp4F3A9mcQzV4lqKFcjf6xT6+fiQyglWId11H1VUJwlpct2JITB/VunhMI6KuLQHchybtPx2Le5DMciZ2E1URLmxlB2gkIrz1AjTISZ1JzYlCqyNJOx5W7i6PgBgGPV69pm+T8+x9QJSjsZhIsZOYlzEEdwQ8wudDx2Cpt2v1wvQ0OwhFGOjvdMoIdlTcbxu17Uc4VMOzpBsUMoIapHavohmvQbAOwEHAY3JJZtVS8DtAgCXQ7xpo/PlISKOWiioLI/dV1MnEsPaDfBrgd8kb8cIUID+XcUi8aAQcDZvyKh2o8wQDP9nOSxqZsEABwIPAr8p96dbC8bnyNe2eXXV37F+w0UT9jZrdoN0ASc15EQnOtFR9OmRLKZkrk/zQBBV2Iy4L2lc20/lzQAK+7T6HLEYJW9a70KmfdZUtxGlOg9og4+Ytd1iUupj7zIBTm20rNYmB0Elj4pUgVG5iA9QvAjZqGc4l0n/NyzQu1+/JBVTnnQjrlpHFoild3Cty1JIE9vKq3qwqP1+MN6CAKkPpPZYU/Hyp+csiVnC3kMkTCUiuRqLJeytPR/X9XEsnSSLE53oREfR/ZYsmixN1XdXuYesmhgzcgg1oHkcaCyfmOwgFsSVAqssL4LUUsS0XyLA+7YAsU/fLZDMjKkzt4fJkLnLhjwaYjFGDoDMGBIrF1nHkIFyaHTJf6ltkdwep98zcPZeDZzpN2B/d8jtKQo1LBy4r9cdCF11bShyEKKIxoygjAIHaASwpQGorqbFgtL32phpOSmnEaN1OxOo07T92pdJOtyUAjB0pDQ7NoODQAbBOGfMrOgO67lhzlnaCHPGuGJwT3qNWMaUDZxJkjJ0Zpx3GFYE16c+Ok3Hz4EbpCQPhgS150P/zlkcnd0PMyZTMZozQbyiSHkXc3LjYUUYzgG/qQyWy7IGer12WYW5MXC+sahTIvoTAM+hb9MoIt8iovcA/M8A/jyAPwHwsyLyyS36bqTLjEkAEkingGNA+6Adizato07rl7eECHNmFoixwKUTs6hLxwlThmnXsG2ZVchMq78xO/Ayd648dB3nF4Sj5Beyy8zCAZyg2WOVgJYoowSnOA6ZuwadxzMPmTtNbJvaD51j8wD0hZmCduoHGNBQZxqBECRXBMu1P0eXQ9yb5DcdF3tnXUk8LVKdY0EHX7Uz4CpmYS+cY8E4LyK6tUsS8fP4heBYEOaUoyyJKXkYKI8nLByGJcM5QZhRU4wnzO2a6UVNkZsydxjPCOPWxpCYxYiGWbi+HWOcQ70hg36a1yJXWGu8IYRxQamgkMvP/rAijGeC8bJiFmcoyDJJXpdExhiG8+o9OD73zWtRQ/6SiHxTRL6V/v5FAL8rIt8A8Lvp7xOd6ESfcroLNeRnAPxk+v7rAP5XAH/zpp2I4fBtp51UB8/GsTGo228ShyF9n+JIqNQfrfrgTcJpjIrl4HXfuhiTy7SOk6AQge1ODXfWvt3prmwIzHQtf9mXQC/bLIYItizO26HgEWKEv+KmvKGWqRNgO4JCAG0lj4G2o8ajTNygrvfgOv381Rau11qnzqpuHTjH1gsAZk+H/YpkO4tnSO7C0cHtAngbclIXrUgWmxoWtQvVXRW3Ze4/uUUBgK+pdcqp1imtt5g9SUlqqopk7qiKZKJlDKPLGAUKUXf2hcClMbtd0DU8otaprZt7tsXyw1XBWaSKZLPnEX5bBZIdWZGse56e1UlFsu4KqdbpkF2nq488QIzF4ypw7EpxFtdWJNtEDM/rADccTa/KLATAPyQiAfA/iMivAPiSiHw3/f4+gC/duveTzeJkszjZLD4bNgsAPyEi3yGiLwL4HSL6583ARCQxkj0iol8A8AsAsMDqFYdxohOd6K7plZiFiHwnfT4iot8E8GMAPiCir4jId4noKwAeXXPurwD4FQB4wO+93AM8RXCWjtLvdSIYPhrBqVWiEsIwVOhDAIdyQh6L4KQhloSyduygxky9bgRMBIyG2CzHUogqBth4rIhNSgbD474a8joQnLwLbWVtKlkFrUq525KK9UPM6e+sGrmO23otKgqPVeEfU0fGeCMEZ1YhLIp4jCmhb0JXjkka8VQhIgXcaxEgXhQpBEFzU4gr5/tNuB2Cc4OcZ4KCGlz9JkKqnCyqBhV4NwUCpz7r3d0qxMOh5O10aR4TBKffCLorgt9WyN+o7aaGcHW7KbwagvPWzIKIzgCwiDxP3/8KgP8KwG8B+HkAv5Q+/96t+rcEvFZkx3I1DtDs0kgybeeBIeXErCIMaTZrPgEArihoskzyWa+Zo8LZDNwHhGUSy5+wZm9CsfRL50EyhyxmJWfmGCBni2zbsOjR8XyW4dDGWGTGWaT3VwwxT8IQMVx0+pA9TerAaga37iGOwX1JjEshIC46fai37YsfF77xhvjUxtsRMeVWOHQOAPhPdD2Gh11O1KJjr70X2jYsGX7L8J5y8lcKAPcM74oaYvklSATjWZdftJypiSlBrve9IXW72wV0uwG7d3QA2RsyMMYF7ashXF5At9PjeBRsH3JOm0+RMZ45DEvK9ocwY/QXDNerN2RWJdbJ3pCdXqy/SN6rZwtsvkhZfQ0zVdPCjBqvA/fKLKyfsAAoEii03hu/LXEzxrTFEaLTc4UoQ8I3X2CsvyJNmPy4ArpLulYN6S7bccXDKT8P0qtIFl8C8JtJL/cA/o6I/H0i+j0Av0FEfw3AnwL42Vv1/iJ0X5WEpKkYdhNEYC1tcGlrkJFWRaq+1k0oJ/NJp9dCi0j528IIojQlCylIkS7s6Q8RJLjbvBN1jEodAl4JdJruvmqzOVT3o0nsYr+hIAlfeQ6Cxkhon/VuWSq5ARxQSTdSzr8hkvTQOPK16zHVAtpkjPY7ReUT2TyS51CqlCHI4RwWVR97bel7bQS4bR4Lo1szCxH5IwB/8UD7xwD+8k36OlRFXY2YY6mi/sGH5RrbXXkgd73mVlhvtRALAMSI+MGHkBBBm032gtT5LvwnlzZgwDH8JlUtv0qGz84rnqOuFA4gfvQY5Dhn4Y79AHr2PGe4snwUFj0KVJZ5ooyjQIzZmAkilSiqwsj+ecq4tRnU02BZm8xz8+hxVh3ykrGDrzJOSd/DsQNi0E/g4DkAEJ9rOr/VH120L8+Bwsgrg3PfoDDybDdmZpELI3/45OgiQ7LZ4MKMoHWN2FcojNxdDm1h5I+e3bzI0JPn+FL3tdzHqxdGTv1PCyN/8AzTIkP++edvVhj5qt8rMvRnz0/lC090ohO9Zrq/cG9usz7lehoxgBbzkmNiPtMcjfNZY4iksxXQD5pRyo6tEvrKRZJCLLflag4aQt4NeJ1ySQAlp2TnwednWgPDKnldriHnK/ClZjgyiXD8/EXGUeRrdpx3XV4PpVhOiAgrzZ1hEsX4YAHejWqzGELegXg9IK46uC+8ezAhcJzgLNSmMzbJgafnAMhlDfsvT8ZNlA2bNoZx6eC2ms8iu04FJfO0qRuxfFrxHlsH/XwvGzKnSYHrdu4D+JPn2HxFs5CZDYVHUTvFAZuF2QC0yvgCFLRehl8n21IQhKVDmBHmnyQ36KLDeHYczmI803VbfNvj6Q8tMH86y2MIM6C7mmc3po5V18WKDBnOQiupI7szVx8WO5fZjsQBYfXeHs7i+deX2HyesXhc7vk4J3QbKTaLKiGv6xeKs6jqhoQ/OR7CeX+ZxZRqhb9OG2Z6cQgAkmhIlMsFCLBf4RwoqcgkpUxbqxqSl9HsE43eLTmJLlVqB6GoH3Ytd7krfeSUeJRRMBRE/wYUzrzuGy8E70bVf7djqrJd2RGG+PJSA0BJClyVPzx0DoCsRvknu+Za4igzYcNCuJRXgrcDaEzMJsQsvk/VEIoCdzVk/dk8C3XZgWlS4LqdxgBZbzF7WkR9/SKpZmirhkTPhaH0UUsDEkCjz/o9DxEcBJwMqADgH1/BXWnCXnguFc1RVKdcCuCqJD9affgQ3WUCjDlGWDC6q7ZMII2S0vOZ2sE5xwYIGcBlCXdix9n7EzvC/NFaEwFf7fLzv/xoDgoes0qVEFYDqKSyhnURoW49gncB8zokYLKhvYjuL7OImlz3oE2mrnsBJCbgGkNkU9Yw7GtbufzgGPQmzhTolRPVAEUXzkhELi9kVRjXMmgBKIyhc029TgCAL7o0tmPJRh31JQOrjQLQF4K2Y04Um1P5DwME7qXlEQGzIXh19ValEvfOQfE2hYXPyWB07MVWYUwjzHW3lypGx9yEdf3O0okWmS6I1nROVSpxr/Rg3T4E0HaXmVVmBCEiegK54jK1cWZQFgNx4fKLyjY21n6Ei+EvLmZa4jCVZeQ6lqgqmQggV0ejyw7jkjUmBmprCDMGBdeUCeRBDaom/ZhERDF5ixba7teVjah6bMPZTKWdqnbJuGKMywIIA9RTJPkRoIZZiOvgOs72Eb3G8VbP+8ssXkShYCcoqsdCJjU2JShc2z6nRCaOV/U+qDIwZs9IzZRSOnsByrXGUdWcseoPavwzqSTXL40RGE31CM24uNe/bVfnIej3UbQ9T0y0nuhu2JMSqPamAKqGpTFnr8ChcwDEXKB3aMZFzBDbfXy1NgkjkZcntYkvRrwC7xbdwSb3gTZ9gdOPhyULjEmyGAN4l8o2WO3ZKFr4JwtwhuwsVdS5yujlgawnUohwqS9jjrzt05pHwIdWshhaySIHzu0G+KuY1RvxBBoFft3iVTioZBG9BcMVF3PtsTApJ6ZsZAAggeCuerBn8LbPG5O/DJh5ytcGANcTeBdxqIq636hk4Sppgm7gCbo/zOKaQcuBFz1nvAbybkcJrARA3YtHSxapDys0bJb+MFQMycAzcjPJYpKsRSrJgrbVjQzJqi+cvR7CqToXszKK7EUR3TnvULJoMj4T5QfcOFac664rUnZ5ANpG7cMPqGQVPWeAUK6dcVPJYp48VUmCoDHBzU2grGwrOYkMlxc4zB2ceRuYsrqSPRS3lSxWDA6p3StUnKStKWqShY0xpGMoavu4MDWkMLwoBv2+RrI4c+jPOYO3tF+G85S9IVnaAhD9q0kWJ2/IiU50oqPo/kgWU5JWbK1rWTSVxcZRxa1xVI+IHbPdtarIpA/aJIOkiPqvza9vEkKqt0GpBigA7Wu7VVUlRWlKPyi0PFcySxGMl9tyXlWYpiTpjcUHTqTXDzEfy+tU62QY0ADPRFTFeXoJmWAmwK4xFErfA+z0OC7epOk5tl4A4D5Zt6qX47zDmkTgrtIc+hGUkaWSbC+uQZvab6p2pS5ToBo/fp5xC3QNzoIqnIX/ZJM6MLEhSWRTE0lXJDgeYlYnrFq6jinC7bT8otU0dY+fgS+Pw1nwZerr6SWWHzyEu0rHesVZ8HpAVxs48/pYMFwyzBrOIh3r0liaEo6e4T98voezWK5m8JtZ47WxjOlm4KwlB7ce9nAWnw0D5yShjYnPEqFMwXTvrlOdvKtjcSm7VxvXaV3ecDnXQw0YY2n+LcX/dqdw7ypsHJ0HLRatGrLeat1UK7ScHqZ4sXyhgZMmBs64ULg3JzVExeEIgVO7DJUXNM478MPzYnexOXU+qxUAQOutqiHDWNSNA+doe0qH/+6q0bVrA2cW12dObQG7Mbs8SVCygtsDmtQ/iVpoOK+HqRxyUTKgT9SQup2GAAIwvLvU61cGztBx8bLUaoiF0w8Rru9AUTAufbYJqFrCiDNG8S4+aNWQdWWzyGpI8lAkNcSLYPPlObrnRUUKc4a/8gcNnNkbYiHqQFJDtH3xuMyBBzOaMkAPVA15ustMePPlBTbvOiyelrULHcHvYs7TWhs43W4Otw2NGhL/3+OVi3vBLCRGyNDnKucSBTFVZjJkodURoflca4akOiKYR6AfIMSIjwtq0n3h81rhfD4DNroj0WqZLlgZLodR1bsUW5IDyR59DMyVoZRrzYGH5/pSWmi3c4gPVlp7FMjFlAOzputHMYZFcmXHixGREuZiVClDAEVmAnBfeFdrksw7rW0yLzsZPzxHeO/8YAHjGq/g5x3iwoN2IT/shmbM5yQ7gDdDZ+fAaPut62UC6vbjIUlGJnWQMnT3bFuYc00Xq1znxMLi+y+cZdxCXeBYCMVtOGNwH+FnPseU5DomfXteXUMk9xUJ49KB+4iwIMw/2FW/qiRqUsH2yysM5ww3aAaw7rJsQHGm3guLDRnO1JOy4ncau0GYMUIHUGT0dd2QtCSWX8K8IjwpjFwbKzPtIq6+b47YEbqHPp/TnzH6h5QlNR0XIV7ZdSlfBwCGrxC6y0lh5ANrdh3dC2ZxkF5kpY21N6RElx6sLRKqdldcrnmHNQllGHUHrksKJpG9vpZmhQ7FeBmjWs/rOiPQaMQXRoVOIkFzgJepCSmSlZjKJ1SNoGFs6pIAKr00dUkArU0yhKJiIWEfKtdzU/JPBLwb95jQ9F54T+W46jfuQ17HKdXrYVd0267MQVwZl0GWAXCKWEWQDIWuI0BjJQXFcX+XrKuog6kpzCQdg6LLbX4bVPxP5xjDUhenei+MuQkj1yHpriL8Ol1nELhURb0dR8KWvKSKunl8puQ3HWQQuG3Mkt/sStPtza5q78b1VdSFWQsQ1TErN4g6PRk4T3SiEx1FJ2ZxohOd6Ci6v2rI6yAzkmavA2PPdH7jPmn/k6vfDlTyviuSyvZwbSEj5j1ZUxwBsUDNgYTreMWluRXxZB0jJfEeuV3qNb5DqosY1VgNAkrOCVtyQlO06E2QFXwSf7ydoTm/mDJuRfeXWRwCi2QXZMmrWefaPJin03J0Tih7AUzn7rzaE6ydKLsV62uJYz3WrPeONW5gUrXMcl/WVOfItPyYQHpHUhKaHEqe8npK59UFZl4OdpDOq+vtBTk+AbXcx47BscRrSIwK9EpVrPI8EkQ6zv3e2k/zY45LpxmdmPbyabre75UbmK6HzbvO95kT4qR+8nme4BiQrcO4tDILyVjr6KUGTuufHWFccb62jkONpry28WgOTtdHjHMCL8zTowZPqrKmjUtGdISZJwxnnG0PZuAEcJSBM0xsFvP54VdyXDGiB0hKiYL+jDFcEPoqMfBwRk0ynNrAOa5SiYK3lIPzzqipE5L+zt/rWiBVfZDm5bG4BasrMiV7+QyDMfOKmLR6IK5gFpprcarZYVgCZvXrW1k8G3eq11FTXdfDanoAavS0dstHEa0WSed1jMbEfGEWe8yoqksCAJzGJa7UKDEDp43N0JmWWyMs3d4uPs1iNS4ZPOpxzW+s8zpUWrFeD5t3XaMkVsxCiLLh1Nqdo+zyq2t42HfgsGXfOcnHDktuEhpr1GlpCwvNvCXMCHNCSIyGhFLfBJNM9TiNvRjOCS5lQA9zjTql2CbGjbluSPo7jZVLUfc8pkM0LrRfHhnM5pEhDBeAX1cej/MJo5/VzAKgkbS2SKKbMIuTzeJEJzrRUXRiFic60YmOonurhsgkzLkuOpQLCAGliFBPhwsRWREiINsgAEU35uOg4j31Q0mGk/rM39O1aBgVvBUKXoO3g55bBbO5Z9sXFgHKBYAAYBjzjbBiP3S1LQWN+iGDxaTvQest/LwrId+AhrdXRYyAlG9CEix7KPgP8Vyg1xWUnaKge7Lbw1nsFQAaOrirQZPSVL9xH0BX2xYmbXNPkb22DgAwq8LZ4y6pP3ECdd5psR3qR8w/SejWKhFNY7Po9ve+Gmfheq/3JZ8g8J3LbbNVB+4deBS4FaN7lqJcpUSJWrJcHhxiR3C7iNUHAfOnlodCgVB+HdFtJghOVLaKa3AW3ZMdDtFixtpvhaE4eySg4LD6uNyv4fn1OIvdljF/JhgqtYUPwzoO0r1lFlMjG1HKoBzjcQZOn3Rn7wqTYAKiRYXe0sCZcnPmjFqDojml84rdN1vAXRs4F74BZYFTBGVlnSdJ+SkqyLauTYnajYs0hrVX5OwbNHCOSwceCyqzTtjirLqYI/BA4LG7cwPnuHLZWNmfKWALACioPYRDSV4znDmEGeDX7o0YOIczTtXMOHszhiXdyMDZP1CP11ghOD8TBs4parCJ0TgGwTmOmrA3xBITEjkFl/CtEZyKDJUcXEVj0J17DACXfBJ3jeCkXYvMBEX1etTMoh/Vvmv1PABwP0IiZwSnwdQtk/kbR3CahJZeRAoC9lRS+5GiJGkId4/g3ASAVAoQBlyuBSKgwKBQJAtN1U/g/s0gOLt1h+hVsrAXnOLNEJxhxuiuZJL9/ODlDtL9ZRYvirO/iev0gNsUEm8tWWgJwxJZiV3i5BN8xV1LFnJA5JZu33UqXkX97Dodk+s0Z9pO65PUvDcpWcS5268l4tWDxVVwmBvUQ3LnrtM5Y1wynIsIHcFZ8Jjfd52GRcpCRXgzrtPlq7tOw6TE1I0AACAASURBVIIw9rd3nZ4MnCc60YmOonslWVi+CWLaE32tfof0fVOS8Do1RIaUdm6o+OHQ52NuHUjWD6X4UOqHdykVHZFGxOINBJJthzajFRRwVbeZeM39CLHkuWMEnGQDp9k9KBmE36gasvFZTaDAOZBMuBg4OVUT520Pv0kSyV2pISniU8sdAl2VJ4IHzSliJQejJ7DXRMTdVXf3asil16jTy1Ayt3l/IzUEYMwuY05LCAD8mVBDpnRInXjh4aT6O1WgLGJdnUMgrWPJOc3rUEODPSs4i6mUWbz9FY4jomZNNO9ki1YVz5pDI3IRTZ1WiqekrGYbh3PIsv8bpJL+Ls1HdNy2cQhTQcneNVHJhRFmxchKAuwlkyGkFHpvYFyw9dH1qlWvm1Ds0vzqQOMbnP/pYRY3LR34onPkBux0Sskb05ZP1E+KOKiv3xk1yYQJxNJeP6bx1qUEIpRRTEoJ2nFvi7QkY0q+G0oYNYnCrZuC1Xc6Dh0DV4mA69KLdflBq/vxpsYlibM2hatvQvacVnUMb7IFn2wWJzrRiY6i+ytZTL0hzpX4kGO9ISEWvAU0a9Ir4yxmnYrFlsdw0BgP6b26+dhiBO4YZzH3beIaTt6QCk/hRBAXHZg5ez1o0HoftmsGq67e+TfuDQmLYrMI8xTLk9LX1ynxeWTQ7g3gLJYOw5mD6yP6c26KPscZJReqNg1nrJXWF/4N4SwcolNpxtSIm3pDhgcEDpOYlZM35EQnOtHrpnslWfByAUDh1TKxqJP3kHGEe+9dxE+eZGg39b2Cr/q+OSdDtMcxeyjonQcZ2CUfaa5LK65D63VTMT1utiDL4F1di1cLIEopHDQGMAC6XKux80zzfPK3H2FasZyr7NvS9+Cqsrn/JNXKTDlHKQat0O4YMdVBAaDlEoc+58zM800GQlcbgmMEr33rvekHnaOl/zOJJUW3zv74UalgbjQxLs4sCfKkwjxCULj69HwA/PQyr4fNe759J3tTOqdGWIqGDalsQlCj5/IPHrXjmVz/UG6JXB0tpGTMT56Xac1nKiUm6P8yfA6LTrNuL1ZdzvpNFtYfQpN02Kqyf+7/vgJtUvgos0Y81/VlgVL8ye5jVc29Ge+zq705AIBbvwOQGlQNY3P+B1cI53MtlWlrMPOa/d3+riTN3RfP4K/Gpu2PN8fbgu4Vsygp9w8YcFJpgINFhw5RbB82bYttxa7bUJQMYLL+yUotJrQh8Aa8IenaRrV4WtpEvQr1eKOo10Mm6xPegoEzSjuHpiRl+/3WRr0bjQfZCNiM59C47JjxzRheEQFwetZeYS1I5NbP5v1gFgSAXc7oDQDunYdN6UGraxE+eAT/9R8oFdGXC8jVGrRcgK42pcv5DLLZaJX1VKw4fvBh/l1+5IcAALzRALDxnSV4O+RYie7bH0NWCyBEcJJMZDHX5DHLWT7OfXKF8O4ZnGO9CY+fAAB23/x6LiBsFBYuIxVnT4ecn4F3AcND7W/1RxcAtJq5f7JDWHi4zZBtC+6TNcK7K83CPfHJx7lv8iF0T7SKF+/GnMX70DkAVKIA8OzHvlYS1SayallG/YX66/0mNr/5rZbx491EshBgeDjL62HztkAsYJL8Bmja3S5i/v4lPvm3vpraEkahF4xVPouYckXkrFYA3FY9Kq4X9BeEiz/7XB5T/8AhzAmrR2Oe1+4Bw++03/mzCq9g10zZvXcPdLzv/sst/uzfu8DyI8nHhQUweyroH5SxufS4Wj6LMNdxaXV1pLgP4OEfv5fnkKHYBPRnhDgDlh9F+K1e6/1/c4X190WsvnuRrzOcAd1lWcdQSukADHTP5xjK4Rj+5fGWiPvBLA7RC7N7V7tgjHs7FICS1TuEg33lIKxU7IcGFTGbor7TfkU0BmQIJfX/GDTa0qJVYwEMTetocF+lagsxG9+0FqiCfgpoTOuecsocnnewtMsywj54iqmxQnEfFIiUPnPb9BxbL+hLyjWzYIIza6i9gDsdLw8CZ9gMUeARDbG4Pau15L7MgVP1eIqUDZlTqtvdTjOZu769j/nvLBwVDIRJWa4XcEhgqWSk1LEJXK/p/G1cfkOIXuB6NWT6TSu52dwBIPp0n4cAv1GmpMeJzmtbCtfnsQpAI+X+KCJHfUaLdRzKWts1hYBuDYRA8JsSn+LXgL8i+LLHQkjbrXxhHVWqv7WFh07ZvU90ohO9djoxixOd6ERH0f1VQ5gUyXeIaqgzURGl7fMYVF1Vf7SBbk/zeFaRhjeFnNt4cp81zLbJCo5c0cus5SCFHWt7BeN2JW/lnVElptbXksrxYdmvrY2C2QrKvCR90WhN5Dm8tvGbuiHlbx1bUUPEniNSUb+pGm7n36CS+HXjyNe2Pqs2ayep2qhcv7axlDlQ8QS5a8ZX9bHXRihZyV8T3V9m8SKqwUipEtdeCn6XQFrOHXwYiuuKIUSQzkESIMj6bT4BgAmSwtNzjU+v33NB4lwPtOSMyGHNHecEtLJjhOQCc3E/y5N4ynEnMsQMtmJrc7zHFGPnmgS6PEsh61EKeOrAOXm9oMbMbKNIZMY9eyjHBYGDjtkClcjrAeIjkPRkWzkRPdYAcDbXOqX91MA5bfedy+MYq/GMcyoAMzPmUcUURFICHTWA5hePNaFN7CjXSB2XhGFFEKf98liPr10DKwEYO4dxCYyLclxYANxrglwjdjrOMLfj0NgUrF9bT2GAbKykiW7iTMdosU3jChjPRNsSjSu1meRxVyWAwWonOiXsPdGJTnSndH8lC2IQvcAnnHZCcaySRQW1Bh2vhohLO3jajcrOoyn/KX1H/jxsvZ9SFslR72ZFzRFX1CfxBPFJlK8qlsfOku1wEU89t6L0XdBE9cgivSu7XnSA+GpuERCvlnaxor/mDYmpJombrMcNqagW9qlSACoXo/WfvQteITq6npQh4aY2RX/78TTjqtQI+7tRAShpS5WqRKFVmXTs+hk95WLL8ZrxqRoo7flcVCGKeK3iwEmyONGJTnQU3V/JAkhGzvS9hvV2vuSf9FoNTLxrw21nnYKx7HPSRwY5JQNmWGkgmAGGhClJFygSgCNgroCscGaJbmcIZx14rQozJef6eO7KjlWlYjMQE48OYaHtbqsFcABglaSYcengtkFtEFURInelkN+wYPhJGbtx6TAuq8QmgwZfeV9S0h06B0gQbigwybAE+ZhFq6/3D60Pzro7CeA3DBqRcQDBsCiiFbUcF9sAoPq937RtRnW73xC6Jx36i/ZYtwXCEgVnkewB9U4fO7Wv8A7oL0ohIoqE/oIwLimv2e4BYfcuIWwI4xKo856Ue5VAWe/q38OFx+7zATxYoSIgLNWS2b9T1tFtbc4JvLWKoEgZayOpGNLwUWWzCOX7cEEIc4AHzn3s3hPMvrRGvzkv9+rhiNj5jLMIi+peOkGYM4Z3Crgi3oAD3G9mUVMdb1ADrQymXMPAiTR2YRzL56QPlzJT0aAlDt1aMz85bw+TqkANnDcCtOtb++quh7vqQAnladfylwFuKMld05ecP9HtQn77eBT4LTe5EQztqICvmBMEA5r9iYe4h8akUbRSmPVxNWjbbtQoUewjOK3dSiLMLmMBBqWxc1q2WHlD/FYykhBIKMmdNKhVzvEdgN9U/aaX0G8lIzVdfxjB6XpFcPJ2wOy5Ad7SMalygwGLwtbUuvIS+I3AbaEG2VkR7XkUzC6TgTkxt/lTld/9TuA2EwRn6jsz0nTvuucj5o+XmD1Na7QFhp4we4omb4TbAYhANCPt1umzIIDVeLXxAjp+TnucfhfEGTB/WhCc80881ucrLJ5Wz0bv0V1S9r7UVdpIgO454HaVEfwzUQpA4l7tECMaQ34paXCQcdTPnP1bdGM5AsFJgz5t3DtwH0owUtCs3RgLOhPDeDSC0+0iOF3D7BQUBcFSwm1LejQaIrynXOMjn78dII51XPae9aO+8FXquUyvAcHZvNRIen32XuSTlFmsAyi9NBQUpel2sTA9m595JPrYtINvhuC0F8nCxN2QLP/WXbL813YAt9PjeBSEjuFTCjrLeqWoxtQ241shOLvnQLdOEsOoEkG3lsYLx70mRwqG4ExMrric9bhuXWcPL67T6PYRnN0l0D1hzEpsHMZA6C6Lq5ZruDdeDcF5f5nFiwyczMXA6Z0aNp1rDZwvc52ayzCpIeYKNXFfVZtk4ByLyiMxHuU6rV2Bpo7EGSPMijSR8zIwISy5MXDGGYNGzS1hrkcAILt2VQ/U6LW5Tqv0euIqd57VzMiqB2e1imJa6lHKy2tBdbGta2qqXq03HuM6NfXDXKexV3XBHvhozKIycIoTxF7doOOZrjMAUND4j3FJ+Rrj4nau0+EMGXId5jomHjROw8h5ZWoxqUrjojCM2kBpKp8aONO8HCF67LlOhzNgeBDhL8s9H88EEMoGzjhhFifX6YlOdKI7p/srWbwsT+YLwodF5Pjcghb6K8j5HnNfFq586Fovodp7W/JfllyYJCVoDJJEa0FxAwq03gdxc11KuSHvFMVZjz0kwBXK2PJaVfYCDXBL485qSPkNUtYkZ6e+qcvSzs+frRpSH2fjyp/p2Kz6her342/rQWo89XJ9O8n+HPIYqBxn47OxMyQDx/aue2ju6Tna+/0Vn5n7yyyA65PfxhK6TkFzXFAo5QEaW8XLbBYhADFFnQ4BZIa2GDVJbJ3nIcQbRZ1ObRZ1ChnqY/6bhgjuNdWdJablqopYY+CMGs1Kd2Wz2O7bLExWlaSn+416TLiP2cFkNgseDtssXB+zzSIzupvaLJJhL9sPbJx2uew9kIM2i3Ej4J31IfA7FdfNBgDczmbh14Df2DpoQly/KZgJoNgszMNhUadTm4VP/as3pDBVCnIw6rR7zuiqfDkkGoVqNguaGDA/9TYLIgZ1HlI/OM5puO8DDb4PKbMVgH1pIoq+yGcJXxsC5PKqFExOxtDaYMp1iDqS12EI+aWUxRzSOfNAKXkHPLvUF9rsGNud2itSfg27Fu9KMeK8aQQGJW8Fb0dIMP05wqc4FKlyWopTWLd4KSnz09v5ssLLAErx5WFsijBPzwGQCzL7dSilAwEo5Lz16tCo3hq3i9m7oCHqLTOgarekKtzfvCTuWV/qg0yLL1ft3AfQeovuMoXRd8Xu43ZFsogVVNoWnROjoGC7tUkWGmLvqXiE5le9ruEQETuGr+qG1MWY63Vzz7ZYfHyG+dOYxxBmgu5K4PrKwDlCXeC+uI0tOzjFUiXM1lOohKuLE8w3EbEjzJ4MeaNbPPYQZiwel/s1XhG6jRRvSJWD0/WCbhMxPK/d6zia7gWzOEh1gBiwr5bkLS3V6rA6IUjPSUh1SQMXl2ndR+1pcawVyWsm5FiZxRiVSSCJzWNoYoRk1MJDYswjmJcllsrnJoVEAapixnkH5uQ2jdIYXqVzKjlxiX+QLhls+2GvmI/UKf8BHZeIFk+qiiJNz6nHzbvQiq6MHOthyEzb2ZQBlLlQlFTXIjHEzHRicdHWXW/Lg8+TDGh1Ow0B6IdyXesqpTcsKkXa9Wcl3oMi4LYxMTDO8Si66wowo8JY1gN8ujZ3DrwubxKlYlXGSPOL0w/qMt7ZmhCE1N1bJ841hmXSGaBJfqNL0o0Vd7f7PAna81cjYsfg9ZAxRuqqluaF76LA7SQbOGvXqF9HuG1opI2bZCA7GThPdKITHUX3V7KoDYBTMlsEoBJAiCBXZbk6Jk9nnWkLULdrXcwmpMxOIlnloBuEqFNlGM0SBjj3QTHmEG5FLWkBYwOBUZTyvZKCyKSlO6T6egLOUpS5QgOzqhJRqvgP6E5PRaKobS5W0QsAcEDKOIoqiULHI5BKtTARgUY1Cup3lX44luxe1k5Macd/NQsnV8ZICjous0kYUUDKf0n5HEhSyUKRJLhaG37JOpnNg6vxB6bGuCuvscrcSbI40YlOdBS9lFkQ0a8S0SMi+v2q7T0i+h0i+oP0+W5qJyL6W0T0h0T0T4joR48eyVSKSBmz5VBG70NeEvOQ3LAMXza8mSSTv6e+zBtSu1CPIXO9HnK/TvqiprxgTJ4YtQFQiLrzpb70+w1M2DelyRSpHq+NIbnkaDJHknrMKiXRGJOXR/K/G69lNRYrL1hKC0qTu7SM2caIxl2thYIkS25q+HzN2cPNjpPHW3ltBO0a2zjD/j9bp+tKJB7qN5d7bD4nbtxb0jFqyK8B+G8B/O2q7RcB/K6I/BIR/WL6+28C+CkA30j/fhzAL6fPmxNTK/abQXNM9RhsoQyhOeva87uZLrJ9ApAqNkRSdm4MahyNZ3NQX7Jgu61m/YZ3gFmlmcGLOWTe5etRFMjZstzQnXpFxvN5SdibqK75YAFhAMBjxHjWAQLMUuxGWHq4qwHinVrnLVlPCDrGi1VTERxAU/EMAByRVgLbDaX62YFzAGhdD2gW7gzLBoAa7m3Jb1YMv/n/23u7UNuW7DzsG1U151x/e+/zd8/tvt1qSbY7sdx2rGBZIg4CoZCAQ0DkJcQPISR2lAebvPkhIeCAMeQhPxACAYUYxeDY6C3CGAWESewHW44cTBQJtd3pTt/u293n3PO7914/c86qGnkYNapqrr3OOfvse8/tfVtrwDlr7Zo/VbPWnDWrxvjG90UREFbkJYvjUx5C7a8Cc/cLV1KuVUWM5jkqta96VpebMcCOHv2dpKLelMhBqEiG1KlZR0NsB1CQZdM4N+iyQ7aoiuUksG4Gv7IwAyO2NEFG7kdD/Eq2LTYLbB6YjBgNrSR8hZYmyl9m1OhE2q+jNHhJW3Jy3Fj6TsOsICC2LUJr0LnCiL55YLF9WBz7gJynWSenLRdUK4CkDL+nSNZcf2n9xsGCmf8+Ef3EXvEvAfiF9P1/BvC/QwaLXwLwN1hc7P+IiO4Q0ReZ+fvXbtGrrB5dK5xFZvcOJWoh5YK7oLiHv0iWE8RClIiKsnu76kHZmwUQM+A9qOKlgPcSjtTwrIYHhyARFiDP38xQxjhh907fo2AWJnWN8kZGYvfOXu0obTf9eCUMaqr6AQCjl6r1M33fP0b7C0Dylk9DpznKkEBU1pCs/4dYwqSMcg16qIYpo4Qvc3REow+9L7iPvbdnXS5hbQ+7U19ICZ2CY4F7p7uZDTLgS/Ad4kOItswgKKSwK0qI0vYJlzJGRG/gtmWwj5rTowOp4lb6Ec2mJNWZIP/cjlGDoIxP/dAUn8VEWDl95HCpqb47iWSYkeG2Ib+Emg1jXFPOS5HrwhtDp1RpFn4W7N7vVwPADwC8n75/CcB3qv2+m8qOdrSjfc7tE0dDmJmJ3n5FRES/DOCXAWBGy0M7THEWk+8lkQzGCM4iYS1So1ALJquwcY1cUzwDpbr074xzIBIAVEROUGNLIqPYuCJN51wWMU7XBQAIrS2gJOXlbGxJCAsxT70pRIROEJwKuuLGyNsss2lpOjUl6bzXCy/Lvi7vV4sw7x8j3ah8DDbregCYZp2mt3VOZoqck8IUY1F75pGXIylpTsGiraJf3aRvJlaXGwI1LieBhbwMIYS2YFDqmUVm5TIGxsl0388Jtk91W5akrxmhacsyyy8MzJAYteKBZYj2wcLk/huXlAFYugypgVZAWoZEqkSGKGuMCO9EOv6itEUjJHrfhtbA9DHzgoxLwrgC3K7U42eC4j00swid9Efdrs8ikewREX0RANJnEqHERwB+rNrvy6nsijHzrzDzzzDzz7Q0u2Ezjna0o31WdtOZxa8D+PcB/Jfp83+tyv8SEf1tiGPz5XX8FRwjeBwyyxRHBl8K4D2+EFYRlTMkJ/Bl3goYnwDwOIKcm8gTmi++Lz6M+SyPzKbrSp26tk5reF62gofQNeSTZ7BzETnWusx8Dj5bIc5cli90APzdBZz6GnQmYKgsWav1eGa03vefGAIDsB+L/CE392Cfr8HzFrQdwHN5JZlnFwCfYHhvCbubOnVreUQAaK1JjFtNYdraur1j5G8VKY4NTdihJ23WYzqSNbkp6EflFLXnA8zuAIaY5pl4h7zUuXuvzc66fYlEzcGQuiJaovyWDFmykCcOvFrKUC0GcXzaJEl48rK0jW0DNsiw7ssvdxhOCbYH/BzoXprJuYmRfRP9qVy7GRYYV4UJK7Zp1uCnM4v6euQTACjLGqq5g0LFjMsPbJoJtdmXMS4J4xmLQzPZeIIyw871pG0roD03GAux1qT/3mRvHCyI6G9BnJkPiOi7AP4KZJD4NSL68wC+DeDfSbv/XQD/JoBvANgA+A+u35Q3WO0AmzBlVQljk/1jFQK9ukrKiWS+YqSqEsQm55zUlRK5MklOAoPtEfWY8fXygvvJXTlxKlTtSUlr+qnbaQxTecR07loeEUhOVC+K5OqYM2Oc7JOdjimkafv4yuQuNbelg/vZPuR+3LdJf6TrrqUSJ+rvFbALMCKLGGIhv6mSuvaBT/umEoe2Z0THJScIiTGKTS6zA8PuCHaQZKuJPGIKP+pD77bCe0GB0awr8psgSV/NhieQbavObHWUev3tp/fmvs5sLt/Z5JTlvNRzG0ZzQXCVg5PN9O+ak0O27S09Ps1EMmb+c6/Y9K8d2JcB/MXrV3+0ox3t82K3F+69b7VCWc1+VTNi1WYTm5Q6QJGWHoq5UIdaygKNrYWJMWMfbH3Oqi62IjKUj3fCRmU1bDtUjrnXMFllFitAHIUVQ5e2h5KgEXypj6yKHFUeMAAgwTzEahkSe9mPAuflCQUzSUzT8ib10SHGqv0yP6fMmbm/zaR+3Le6P/S6RdCoWlokbAAbwKUpmHBIGjhnJkS/gOwXqqXHoWVIcRIKu1XtSA2dgZ+VMmW5YkPpGnWNVbJEdVbm53Lu2BiMS8Bu95YhAfCL6q1uDy1DkDlf6zYdMj+XBDkzluQwvyCMJzK7yPstMRUZqpYhfsUwgYRNa69/rmOfn8ECEml4q7CLSQ+G5mPg7by/h8+JyZqwliFkY94qf+QT20Qt7cB2g6kWih5DhExYmH0sZpKx+pkbIUvuSSSKc/lEYewdWuaVoBSNyPcNTyUGtb2WKl7Sd2xUPm/aF3ngvGFXfq4Gi1eS4bzKEmy6ZtC6lg7qa8+JKfBIIc+AOEg/yweuriseuAOULyEwoG+wPdaqTFDzLiHk1zHFMDGQWbcAYQziCrz0Di0zS3ECTFVw6iuQaU4w8bdgx/5ExuVzP3HuupZT+W/YlZ+fweJNCmWHzNqiWAadmcS3n6FMzpnezFUUIKua2UoV7R1brXim7agVz7QsWoJxVM0gRCtVl3RZAc19Nu2+YtqPOmNLTOATNKbDBNL8riwriRnBbChWI5Pq8rS9tcLZOzcqM5+3gWjXFh2KcPMN7PMzWHCcErVcJxoSgkQqJm/gRAxyw2iIQqFNZo2KCdqdaPEzLd67jYbYPk5g2flNXL2BzRBgLQltH5cyrkhrtF4KP4xoSIGAOxiwlRlFdCUqYDx9ZtEQtxMmKztIJCPT+OnMIpTzuS0hBoYZPptoiNvaxAxW9hdavetHQ0JHaNbTZcxnAfc+2tGO9gfMPj8zi9quEw05sByoE8puHA0hmcZPYeEJbl7ZZxENMfWMiYRKro6GcG/yEkkzMo2bRkOy6C6rt/6zi4ZIZKCKehAAm5Ko0hsxtJRnQe88GtIS/Ewcm7EhxKb4LEJLk7dw6Mq5P5NoyCxFQ4ZCivO20ZDYMfyCkrxi6Zfr2udzsLjuMgSQNfABp+ONlyExAp7KVDum5YAPMmBo1ulnAMoy1TKEifbHK1kijQQKEXYsZbAl8mF8ddBnvAyZMombEjp1JeNSiYAp8rsHZfUMtxO0J9tq6ZCZucr5YkMIzWcHynI7i+gZrrrmtwVlRaegrJstQ27VYEFtyrIZfWbJLhsNgAhaLcHbLThpc4KjfOc4PcaXhzl7/Jfz4r94IZpvSrRrYhQS3MRTEfseSvBb14XVAuQDrA42/Qi77kXr1BhwOt4+ubhCjkuNg00JaLTZgfT76NEknokMLX9+Ad7sQLteSIGVPXy7BQFwrSu4E0DCpDsLW4VJafAwvgGNITs+zW4AW5ujH9RLe9kJHqP7weWVh93tJXk1L5pMtltvo1FYuFU3tTY7+twfet0tUabeczrjiSxO6ZpKMEV05h9JCoBygtAY83cpvwoaKDKVEd2igX1StP7MpgNbC3MhcmLzzqJZC7v3uLJoLtKxLMS6pkLCNucWsTOwQ8Sdb4xoLuSaY2PkodyGLDoNlNlA5txQfhI/fVq7x2scMjYn2cmqofCzZwGz5w7d83KfhZmd6M3WjuvNQ4fuPEyg9TqIXcdux2BBAIxF3Gxykb17Vyj905uWE6lMePQY9qt/CGabHp7FDOZiDV7OYWeSkMbMws3ZD/nhB4D4+En5/i/9EQCA2QrJzXB3BrMLCHPpkpm1iKuZvJ130qM874AYEWct4iLlhjxjhJNZecCeSG7H5md+Ai79aPqghplBSD9U+8Ln77aP6O9IvSfpht9+cYX25SDkL30h5XHPtxjvzhG6Kd8CIIroWRoQQPd8EBX16sZ12+bKMQAw/+eSC/j8z3ypwJyT7Uv3DSeE9kLe9Fn9nMUh2FyGosOhUAlm9HeazEdRZ4/qbOGqinopd1sZKJ7+y6epPbKPGVK2pi6pVEW98vi7HRLcXdTfT78tO1EE+lMDPwdWP5Cs52Fl0N8xsDtGmBG6F1VuyExnQ1JZf0e23f39Hh/9gsP8UZP2A8IM6F4Aw2m5HjOkLFDNOl1IyF0zfHWZcvaNNve1vvWZINKLHbB4FLOT8/Gf6rD7yoDuu2Wt4VcRzflhFXUmoD13GE5Lmf8/cG07OjiPdrSjXctux8ziVWYI0JfnBK1YORRt4rYwhc+CgMPCyFSv39I00MlxsTGgSqyYDcmywqFgFCwBJNR4eT8rzkblodCs09gRgjISkTq/KMGXhR9BY/QUTS5Xx2xsRGAoNkYg2uoIs9LW2JrM3pSvqTUTp1hAPwAAIABJREFUh5/UIftpew8dA+0vTB2Gan5vZuHn4mijULZRAjLZxlwFfLE4DJXhqs4e1bfnfr11OUVZeuiMIlPQkbzFdWah22taPQAwQXAxfl4wChRl/9BR5tfwM4F7A/JpK54I5ZvIfTIv/ecXEX6mfCBAmDP8juAXpa+VgyIkXr+wiKIxkpYB+w5QUSQr1+Pn0l5ftcMvGN1JjzAvs8WwCiBPB2cWsAzvDcKq8nV9BnwWRzva0f6A2e2eWdQ2AVZVaec1+3Zth7ROq31M1uRIDE9JWzRrXiR28QnrcwQoBNBos6OLQkoX34ucmKFoVOirlq2BNRotiUVBzUfY0WSos7RPrsmEKQmulvGAKbEuhMXJVp5uM0QYS/lTy/aPyf2FlKZd+yyq9b960e0OsKOQy8ZBZxacNUVrXY/S35ydfMVDX0BG+2+4utz2nPRg0zadZA0ss769n54N8mvQDkh6IcIyljk4o/wdXXE+uh0QtgS7E6im+idq07KwLf1pN27KS0GA7SVqlK+/19mXlpmsGFajcVVdbH9m4bbSZrcrfea2Brt1i26Xq0F0VtLn6SpEnUFwG8qzau2H69rtHSwMARWx6GQZ4mxZhjhb/uWwZ3zzMiRT2slgEVqRENQ4N7sK25Ck6wr13jWWIS1lYlR9EEJn8rTddqbURULvJtPthLNohP07OgKqZQQ3FuEdLkP2sQpsqmWIMljPJdhEkfJ0XB8C21PJ8tUlJCsLd3Jw6lKswdstQ5R6TonVDMEvUJYhyXnIdoqvMAPBWsAvSj0U0jJkXq7vpsuQsIrwF7oMYYQFw/TTZYix0ke6LAjLCASSwaK6zTVSwbYMYmzplcuQxekO/bJy4q8CvCewEcq+MJ8ytX+SZcjtHSwAXNE3nWybQrjl31sMk5WOR+a0iihvKWYJTe6ze9/EuHxS9b3WCc1/68PMKVHJUklwSm38NDQgrtXe/TbHqixWn3oMa7ulaKKmzgUfcOP284HPuh/32wmkhLDS1kkb9spubFUfFU2V6S50qO16bJX6XvRjaPKbv8piNFd+L/mk6d8A3jLv7IodfRZHO9rRrmW3e2ZB1Vhm9pYkVC0tDF2BW7M1IGPyJ4CJqrWCeXiQ49mlf7Y+L9LiMU3DiUAJ6q2M13ASsYBGV0zx+O+nL8emREPYUiWWk74z8vAdG6k/OoJJ7cvncZLtGP30mutoi5zD5P008nLoGO0v+RsIdbo7lel9ZufugLAjmAYTDscYUtRjP4XaJCi60/bLp0+waP1eW11OAYnRvNSvFtry1tYpfh0NCYEQbYqcdFwySQ2n/irtCTPKS5wwmy49dNmhJ9b9YkvgeciYmTAD4pxlOVIvAeRmymU8DwAT4qDLDml7TIA1JlR8rnJeP+cJriTMI+4vt3g8X+Ra7MojDBUadl5hcSzDDw14Wd2Yb6GFepxZHO1oR7uW3d6ZBaWh8VXbai0PnWlo4tdb+BbYyijMRInrodTBVlLOMzmvpesrgBNVUZBUF1VLSVe+R0cZsadveOFUMFCeDI1EcGPeKWvUPiNU/ZbWWVfmmDClTOjwJP0/40fSC4xYyktU5RO0DdPzsEVe0+dyW74bB9BQ2qwzIQqUj58wid3ELFdtYrD+XafdJIdjfYyop08dHHqvRFvo815JfWcAZ2JhFQPkXAZgYlCmHvt07BYPFuaVUySuBYjSwMG2eOGvw4aVSWKoekAJ5UG0RvIlIpeBqab3v4bti8RMHjxDB2/ujOWnBMwyaV8q2z/xzf06q0Kl2mZtf9bcoUSkYkpZJoihkv9g0mDP6abVdscbtj+3q0Qfpw9SNZiwS9N6lyDVBoiOq7bJ7y0kNzdqTqnWcGkTQe5bkge27ESTgZgMgwPJvpaBMO3j2JQx5FV0/UyMxobJc2KIEXTAiPxWy4w32XEZcrSjHe1adntnFryn91GFRUkZsAARDlYGKy1jYVbiGPPn/jky+MoL6MmMykSk501CyUmYWOqNgBe9DjOaXL8ZYxZB5syUxTDKapRGd64ctraP+W87MGyPBL6qjh9iEsiNZVo9Sn0cqdLWSNsGgq2mpGaMMAPlz/q662PytSEBripQFhvKyzqjDsqUAGb74pijKEAkM1YhUq8hZ1Ez1wQzdTTHKuV7f6pdl9uBJcN1t78PJglXIb2djStOS7cRIR/jAbc2GdBkPMO2ApxyfVXXjuC26fwTUBZNyhSDYQYGLhvYTb0cs7Abgm0rKck+QcwT9iZQIwrqaTmkswi9xlixeJNPDl8WwJi2164tPr5YwaxLPSO1sGsr91wkxFDN4kj6Y2yrx/4Qd+sr7PYOFiHilTiLyCUF3YfqX1Eyp649fGyyrPA9RqFS4DRweEVVBlHWigCl9HHaJ9h5w/kVwaiXYQIjsq7ny3YzJAQnkNW8jJ/Bbj3izMKMIUdDqB9hh2aS/vxpGrHwNmQLXHwV+ToUxVkQnAAyglOzS+usUwomczeYvER4u+VI5oLQQWFkmKEm8kn7DSWb0ybkpBlFQKjZFnyNCTKQ6MA0Lm62PIIvOS4UUt5MLBEdLRcMBpdjOA3WDHCj90L6RBlAzAgMB7g+KQDDYPOAD0hEigLysoaqwUKXZje12ztY7Ns+3Hu/nBmTRLI3wL31TUrM+S1NsUCSZSOBOE7JQq4L9x4LRDvrNY9c4N6ewQkOTiHVy2VnCnIheVCr2kVRZh3vCu5dCGmkDQWCnM7Ry4AhEG7K/Wi8cGiqf8XUfKChmnGkrrL9zeDe+fxj8mmnarKvtXIuGl/g3sYj3wMU5XiqUKRuxzeDe29fAfeuEKAK9655+CdwbyXDUadmBffGq+DeO4PdtkFX1R03Bm5X4N71uP+jAfdmiSlPJhKGANOCtzIvy8Q4gKiWp4edZw0QI3jRgS4THwYRuG1Aw5g/AWRINoDMW6HOUr+wsIYwnsg+nbOInYOhAErUe9xZIBjERQO/lOPtWr7bdVIjT2JD47I4InWK7bsCx6Zo4RPc28wMdmcGJiDzVvi5AXkHtgQHFDq+voGfO4m370VF/MJgnFdLncGJ2rehrPp96BgAmbRnOCHYGqthBXsBlIzN4SRhOhoDv9TrIfitUvin69LBkBnj3CCmJYtmjfqOEN3ht3pdHh2jWzQYztJxc70+gXsXaHgaYFw53q0N7E5g1dsvRHTPUts8MK4I/RnQXkrZcEro78oSQ3AUpS+1Th0k+rupfGXh3x/Qe+mkMGOEkwA2DuPdatm7pQn8mlce8EYiOW0Eevl9h6cu9TXy4BibgrOwvYFNs6P+vYAf/9JTfHt4L9djT0b0XZejLzyrJS4ZsW0Q71Z6r28x27gVgwUZI6+ImunKyN/2nvwq4dnzsm0Yix9hN4J2gyR+nQiJCWIEXlwIYY4PmTiHh0IL5F5IGYUAGIMuxMTUnZijZo1EHsYIpAcYRDBPX4IuG7j0cNHFBrPBgxLbEq/lc/GDIc9eNNrSOsqRANtHtFnLA3AbK9eQRn23CfLmCRGIgK2Ibmwf0D3qYfopI1XsGhnQdL/zHWLXwPQjYpcGswPHAMjMYSffuT9JnqtFijQkGlqC8Qy3jpnIhqL4aOQayjJB+pjRcVlG2F6OOXk5Zkq7uMdyVZebMcA+ucjENTnNPPAkzV37NjZliWN7lqUHM7pnBt1Fmdm5Xt603bnUtfxegF9ZmEEAW+6y9Lnm0OjMzK+kvYtvr3H6T88we8a5b8K8QfuSMS7LYGNGmY3ldPh5J7MI0jC57Df/OOXPNMWXEhrC7GVAaA26Z0P2q8Vmhh88+QB3ih44QtvAbTizjtX9antGs2aMy/LifbKeDtKvs2M05GhHO9q17FbMLN7WapUxSfgKCSXEefubJleasEOBwUiRl8DFlxE4RUqKPscE/HIdUwefRmmMyRBeCrFA2AODosl1av1Gna+h+E0oxIn/4lO3agaQTaEfOUFMZhZZ7Sxt079zUpUvv4c4/NLfb9uP0HqvflIojkAy2hbKb0FN9Vf/gPqkKHC6DnxiVbFavYwipT6YgrD2k+hKIl7y8ygMXf054Mn3V9Ybpr8Xsc60uCTRfUr2uRksVFWMAXDjityes0LR76bTWOpacAz5EwCoWoYou5BRfsxlA9MHhFnyRVxSyhkxhVTVEnjWguct4iwR844eYdXBKjnvJvkcli6zX2cOzs4gdmXpoSnqdojwSwsw0FyOqX1WoieNgUVh9rJ9SMe1E7JaQPwdoY6SREbsnKTUp6XUoWMAwKbo0XBqM82/dFpJKVff3HBCaC8FSVrndLiepo7dSohpXBrYXvtBfTmNMGzjKgV+XW57C7Pp0J+msKPS6A/CS5k5OLWdprTVthI9MaP4KFxffCz9CSG2QLNRX4hDf2rgeobvCF2l/KVt1iWUtqV72mL3ACIwBU0jl4d/OKmuZ0D6zdP5ZulhT5EUFStWWn+RQ0Du93FuxXfELjtZd/cJ/fsBFMpv7leM5lxAcGDkfBpABlF/QRirdr0K8HXIbs9gsYe6JGvAbApGok4kcxYclFtC9DXQuBxOZZPQnCbxXhh75RxZti/R1wnfAnJCkFDtWZhKYyQ2FsYVJfXclibxaQC5Lrm5Uht1AtEV+jwzq7gzLGGcy01Ta1iYziavuMmJa7G1ef1Me9BDOX+5RtdYhM6Aoi0q6geOAZAT8UJHVxCc6iPICWDzMnjod0VwOgKg16iDhrOTBDflZBC2ajMpm1Ss5Sx8IdnJ2JX2hHnl4Kz4LDLOYivhUWqA/kxwBtI2cdyOK3mAcn/M5UELM0Lor7Z5sl/qv/Ekwm2qwWIhUSK/Kvd07ClR+SUn7zJFkiLEb+HU+ZvuCVeiUNEmf0c35f3wK4a5M2C8mOWysIygaDL+ROsD0sAUCGOtov4WjojbM1jsGXsvDs8UweBKF4S2PVDT7PeDhEsr8hve7IC+l5eOOjirc7jzFGUZgyiIh5jCc4mef/Cwm0Ho7VVXghl0uYUZPUyi0KfLLRwR6FKQPOpM7Z4OmY0rw71teejtzhemrMiwgwMiw25k9tM9N7B9EBYvX5YhZuvREGDX4xVnpdlcdXCajTg4zeawg1PLeSP9sXjsp/T0pggU6VTZz4UC321iGWxYZkjkGRnSHMqU34w2OzybNKC5tb+2g9NcbDILtw6IxssMIDs4VR/VUsZcuF6YvyhK1EOdmeRlRuEvCLNnqtUS0V5ez8HZXkoF7dMdTr/ZoXuuTkchqmnPI8ZlhUEZJDSub/IwM5Plg17T4rEuecvMIlqg2cbk4Byzg3P17Rm2uzlmT6rzdFZ0Q3RmUc0kzcho1tN2/aAO+b7Bjg7Oox3taNeyWzGz4BjB4wByaV0dGbyRN3V88RJApSPinHwm0R0yJCI8LSP+4HE+J33pC6BtC17MQBci3GIX86xOFtMshNiDQgA3M0FzKoLqyQvYRdIhSW9ds5gh3j9FnLmM02gai+H+Am1a1pjERxBmFrSdXmfoTNb1KL4HwG1DfrPYJ+fSvlkD92yNOGthdgPiTObY9tk5gFPsvrDIuiSA+EVqXRIAaBcN/EJ0Q3Jdm4A6Gy7rhoT7QASGEzPhjpR9pn/3p4TuJYFaszc9N+jWA8zmqshQ6GbFh5OaePnlLqMnQ1eARGwq8FMrCmHzzmJYTZcsbjddHuxT3wHyhh4XArAaTgnL75U+8+k31NnCxVdaDGcCyhqXhO55LXVIIOYMBe/PSJY7doXte3Ltsh+StCFNdEMUtBUmnBw0BXOhAuHVkzsPvPxJh9AB3Z02zzh2DwjbDzwolMd4OGW057WvpZxnPGO0zw3G03LyUFYwb7RbMVgctCvapckHEMIUaFWBrybHNE6WKo0DVGhoGLOjVEWC1Ivtlw4ufcrhNgOV6rp0oPCL9NCv5XvTNXKzJ7i2X1Xcn8lq0FQGTKVrG06m4CgFesVFI4pYqb3mUsrG1dXsU7+YPrxmsBLrp7IWBpJPJ133uJTrmDUWiOK4i3tAnX3AVH9X/AjR8WRbdLKcOnRT1f2h1z2cUs6x8HPkqXOduepngoRs1i4L+9QAqUJKc/jG1/OHrQCuFB8ByLWGOeUlxXBG6O8y7Fb8DRPN0BkApuwX6e9JdGz82KB/6GG8gumE+IatQV+BsnI7EkFPTOAss51O7vtHhyf7/V1OTlGCSQPM7kHE6RcvcLk9y/vFuyNiLaxVEfA0d3r0dgZzrzj6P3egrIO2z6cZOScn1MlhBxPGAGTW71glmAElvKoKYjlxa5ogpufU71oX+eTbSPtRiOLI81Fe2JpINvBrE732k7v0Dat1anIajaF8ahvGIHkY9fmJYIc4YQMzPjFujwxrtV1R0vkVIp1h6xJi1DV+bftJXiElX9lhX8+Tcz/uW90fet11Xgab4sFnU5WTzCzMGKvErnR8gmW/zuqkMLujibao62Vtr2V2JwOFJMhVb30Nd3KBodudcIzYMcKuDawmuaXQpd0VZ6ruD1TO2Ggm5ZM2HTC7FQe83RWwm9sQLi9nk3rG1k3+DhXp9dg0cBsD/yOXSLavgu6cpCmOfkqVV9HnTaIdTVqutK5IGAYjERNTqaA7daQZmIouL58zfde6wrxBbErUIXYyQ2hmDjCUHZ9vor1TyjsAiN5UdHsmb4eqtbtQmMWtlNVRDwA5jFl7y+3CYFiKZzxk1GOKtCTnmk7tZ2nmUlPdqe1T3vk5YLc0ERnSc2s/7lvdH3rdfl6cv35eCICiKwNUbGS6P65sXmbUFHdvmlkUEwh3rKMyHSHMKJeNS5lRsCUMd2MWRTJBZjiSx5HasJQZRH9KCMtCq6czC7vH7p0jYnszC967zw8pwQMS+QgtMO4IOkD6RcRqtcPloqw1eOnhh8Mzi5MHa1wMJ2hOK4HTt+C7uL2Dxb4quvdlZjGMWdBYv9MwTiMmwyhCvLuxCPWGkGcbuq7WjFK39jCbMXeInlO/6zntZgC1rqiQbz2ac4mcsDG5LncZrmiRItoMAHJrn9Mk3Tag1XDoUNpD/QhDlD91u9mMaC6bieI2E2BmFqHKQGzOPSha2G2ETYNgs/aw1cxCBwaz9SBmdOcx64yq1UrccpDJ+9Xb3JZzP+6bu7SlP9J1dy9NUTkfSDhOkwix+ixiw7AD0FyErD2qb2OXZgtqh3wWOhuR85lJhKNrJDyqZd1zC4op1BoMZk81twVwnYCtdLZBLAN/9zKie+zQpWwEt5EBuz1HHmyA2mdRQq51eW7T+WEF++GpFZ/F80o5ngzO5ydYPCn1DEO757Mo2y7jKbonFmNfymj/t32NHaMhRzva0a5lt3dm8UmNGapXcYWT86b6H4DwW9Sp7syZp0Agvu8Qir1vVVWU21ItC7jAgcnxpHxfv4Ji/GT9clOr2kFgZC2PujzyzTVbbtgmE6ZteJXex2f5e6vC2I11TuLeb/+WdnsHC9qbHtUiybXKWK08tq9aZuiqUlk6d5YCGBM6szWgsSiN5XPqd63LGURXfBYufWcrfPOFUv/1imGqFgYAMWVP5jrSdkGKGvBoC0zbqjBzUTwDkFXVaqSk/k2htNeMPGG/KhDpguDcvxn31cLCjBB2ikisBqdY+nHf6v7Q6/Yd5Rt3P3Sa6f3Vr2MpR3rCK8Kltf+i2HR7rHw9oZNzalnoihSAn8nSQzpHjhXSHc7nEgJggl9G+MsqdDpjmHHfZzGNhmTZgr2I1iFhatlfzm23lEOnfsEwJ2OOzAEQdbTKV1YLI/MywG8N4rIKuf8oIDiv2NuO4KpSFmIZJNIDwm+jXHblvBHEtrx1Apc3ny+JaO/ceO+tRjrjqR9eYePSxCZp/3T2U1CWh9fK79JqLU5KsOes6BVKuQmY6Ka+u/awRDNYnJk1wlLZuSYJYb6gLN+5VbOKCTnR29iY4OV8eEB6k92qwYIVkFK9+bKFIG9V76fsVzUjVr08GBNcPIQ842Dvq9BpYboCJKQocG/FDnNxslZ10RhAtiRFUQgSflSmrup8r2Oy2mev0pBcfbyyculnaYPsPzk/IV1nFdtPYVI7FLCZCTqzSIfpQ+nlGmr2qvy77L197K7sV2/TNtF4dcCs+0Ovu2Z9mty/NOUBtYOcd5+56iqT1esdnGFLkz7TpDAtc1vJL7E9p5CtdoD8p+xacqz4ae0Q4dYuh2hlaSI8nrFKRMuO0aj3DU3Ky36HXzZuI8FAt+E8QLkNYbhoJqHS6Mzk7wmtnpVjuGbKeot3xNHBebSjHe1adqtmFhPbR3BWforrIDi5a2TW0DaF3JdMfvncHMHZIM4dxkVK7d4IpNquE85C1cjfNYIz4SeyJZTmBME5WoxLCzaU1/bRFfATgMzmxI0FmD9TBGd/ShlaXiM42SCXh07e0M25fecIzv6M0N+TY/yychYnn4WAsrQPOEHJPyME5z3JICVPku6Ot0dw2rMBve1AdysEZ/OjgLPYN0Ml1fw6lhTK2JmcPk7OCjJzH/D1FsaNPHxZk9QZAQ45AXHt82q8K5uogQEpT6EolwFI2qoyFVXKOZOEdkpadxpEuh/CrUAFfKXKYBQYsaHsDGULhAaI3bufBEsbOA2unPuGojgzUaAx0q4ZY9zLm3l3bWPASDv8DX+q2WzExnY3Jh+6VYOFmafELe8nfJmysXBysvJrAoVj04fJMZR4OpWjE4BwdMYIBuAeSYKagrJmgweGMXNr8npT+DGquuxyBrMh2G0i0N0M6J4auBdbsDFCIAzhZnwdR6byYwKSNt6cp9di4sKcfdeBLjagywbUj6DL9LZ4eQnHjIW5M3GmsjUTjk9A1r9uk5jINdiyHhFbm52cbSL7UZKfu/9sl9PDc7v3EJnjiUNzIenl9TYzBtjzXQHBVbbYLHJ/5OseFtmJGBsDdgB5idDUsGwKDDtE3P19+R3qdPE6ulGjM3OblFp/iPAri8W313lb97RF6Azap4LVjnaF8WMDO8aULJf8WlEGMOMLPH5cGIxzQnfBeO+3LGYvxJEQWoPQAO3aY6g4OG1ySoZm2qf7zsqTD/fEUfT4YQa20heair/8CNh+eBfvfVzug3HZolmXc9a/z+WXznDnKcMvKiHlzfUHu9sxWBAAYxHX5Ye07z8sWaYAMMoD77//A9DP/HGY85SVeraAebFGPJ3DPlFpa0ZcdKCXa/CsAfVpEHn8JJ9//fP/IgDArSULc/N+g2YTM/z5rjHwd+egEGHP5SYNZ3L+8aTJy4bl9ww2X2ixTA9f892nAIBH/8aXhVdArw8ynVc27PnHizyFd1tg+1Ccju83XwYAvPzDMyw+PoOfG7h1zFP3+aMzbL/QYVgZNOupM2xcGoyr8uMvHgWMS5M4DBTB2Vw5BgDu/1/S99/510+ys07brlN9Xfb0DwK6Z3M0F8CYOJKJxQk3e7osQj7VmLN5YNCk/lA+hXEFNGttx6RZk/JmDdz5xoiPfiFN9Rdy3XbjEFYxL6myYrjlTLGHywbwBLt18O8POP2nMmWnCOweAONJxOk3BS69fQ/oH3rYtUFYBnSPy+Phl8kJupay/qEMDu/9lsXZv/ddfONb70u7lz1OVls8enSKO++d5+PXmw7MhMVC7qWHJ5cYg8VF30qU3sj5P/wnianbFOcjG2C4H0BLj/ZbM7hEYt/8mef4C3/kH+JXv/lzuZ6v3nuCrz95CCIGM+HOovyYD5sB33xyH3/owdNc9q1fv34453YMFofM+0m4lKu3qNkM2Y+g383WTd5otB0kyzR97p+juZROsusRMITupRFGba/kNyPsxkrYMddlK65FlQIY0L10sOs0IKV9uxdXYdN2MPDpxdG9iJm+zm2j4DQYhfzmZYvm0oO8hdsEmKBZriOaCyfs1JvpYGFHzh5+OYcknLlNzG+2Q8fk/gIwf8IlKQqQwWJWvgPiC2lfAs2G840r1wF0L2P26Nd4jWhL9MJqItmO8gBi99Li6/Jmw2guRswfJX9OTvMH/EUJY2t+Rq0pazeU1dJ632YWbgGwGbiNycQ1gIHxDnYn5+oqQnnFUehAqj6K2QuPb3zrfXTfa1IbGjxfztA9NXhZ+RJs8k1czGVgOp8vJUw7aN6RtOvs4+SXo9J/op3i4OcW84+RpQCefXiGv9n8aTz/8G6u57fPl4jP2uz/eTFflYuwDPO8we9elFwS319/2XyMhhztaEe7lt3emQVVLvs9Y1dnnRKISKjxaqSmMdN/e1YcfgbCt0mTTFCQojFj5sCAJTDSfimGzpWDU06oWaOEqDO8dHhoCk+kiPSkzSE5IrnOOiVEa8COwK5Q28FJWWjNlfVuqBCieg7dr0Zw7h9Tt1sQnNWMjipUoV7HDIg7IPhqGyM7JwuWoK6H8rIkO1VbZH3SuKc2WZeHIH2uM5w66hFmXM0sUlNqVXMuWIOp05IyUY3+lqGTaAaY4Oc8TfVOL2N92/s55/5rlj1C8lWFRQQvPMK6BS9KByj4U5dKzXJEZEJQ53uaWYSsUYMCmTEpyjJPOim6PFkEfGF5gUeLMoNZLHe42Nk8s3DzssxwTcCut5itKn/gW/jjb/FgYSYXQhWUmys2b27k+4Q0N5pE1Ft97p0jQ629dGxoDchXKcLOIrYWxpOkuwPZMRgdvXGwEJh1aq+mJ1cp5HU6ObHAlgUurYS9MhWWdnFJZ2+FfDc0gK1AP8B0MALSYJH204Hp0DGyIbV7VoBD2vbyEKZj5oxxEPLXOnQpmZicBZ8z6pLlYcuDRWaLouzg3Ic51+Xi1CtQ7DAvvqCw4PxOiXONoHBOvWZjRdmLgHASMqs7BYafCWS6EAGnwSemgaVqk4Y8tW8ybLsBTlZbPF8m5/zCY7Ya0G8cmmV5KEfTAJHQLGSZerLawgeLoXEwpqzXvDr5Kw5OjbzEuXCe6uDXLAd89eQxvr56mI+/v9xgt2tgDCNGwmpRUF+tC+i3Dc6WxY9B5jAI7JC9cbAgor8O4N8C8JiZ/3gq+y8A/EcAVAvpP2Pmv5u2/acA/jzGn4L7AAAgAElEQVQkk+M/Yeb/7dqtqS2Gqc+iQmeafix+hJ0DjV487bUXXhGc+rl3Dk2XthvxWTRr8Q3kLhk97Hac+iy24rNw1mTMgNl5uE2E2SlgXz6b9YFU72DyDdBeRJhQfBahFQen3Y7p+A7N2oOCtCuL5G5GuLUDRXPF/wBgki+i2+v9Dh2T+wtA+/Kqz0Jl9ApAkrLPwlRd7rZAs+aDPovQlrTzorJefBP7SMK6vNkw3DageyHb/K6gH01P1cxCB4jS1tpnwcahfVl8FmwJxhPacyXJldmk3QG2lzRzNRVaVp9FVplbezx6dIruaRps1y36jUP71GCIZSR1yWfhN/IyeLZuDvss0jXu+ywoGPidtEl9Fhcfz/EPTv8w+scluvGdwU18Fs/n1dsj+SwehTIT4QN5PK+y68wsfhXAfw/gb+yV/7fM/F/VBUT0xwD8uwC+BuADAL9JRP8CM7994oGxQCXrOplZtA4YNOHKwSZq/qxyzix0es6Vz71zqJOMvMSvx4UR8I0CpZxFbJ1EQwadxSStjLnN+zWzivwGgEl1CZ3dVXBTjoDsTP7OlKIYLNcDCBlM6CzCXFiglRavSWV1WE5tWJoJc3OzLfsd2n9SnmZPwylpd6WOB3y6F7NuyJ0EWDI0iYawTbwUOpPLeRTCaZmjQhoNWVLRgd0DftXlbIUrVDktNUHLbafJWqojCgNw6nvbWlAQar7xbokKURRdD7/i3J7hFOjvRriNnLfmo9B6dEapgKthaXDnvfPszORFQLMcMMQ53IMy6o6bRpYFCxmUV8sdIhO2u6Q/kwaL4eQk93seLEjqi4uI4dLBpSWpe7DDzz78Nn7jvAwWH9w7x/dMGQzm8zK7mbcjHttTvP+gjIKPmuvPLN44rDDz3wfw7Jrn+yUAf5uZe2b+FoBvAPjZa7fmaEc72q21TxIN+UtE9H8T0V8nIo3dfAnAd6p9vpvKjna0o33O7aYOzv8BwF+FuJb+KoD/GsB/+DYnIKJfBvDLADDD4uoOHF/ps0CMhTI9hETKyyXrVEl668+9c5icdRqBSEJs6zmraCEIYS+FQvhLKe3deC4K4T4myb5Y6oaS105BWWZExvXLOarvAyeympQz4GWJZEZJM68Vyc3IsOPVyIYdgVjTK1b72bGU7R+j1wtMSXQBmQJrlmj2A+wkI9MMDFspwZuB9/RE67YUh13J3OTcH/s6snW5HbSP0jb1F/WyWi2rPcVZcM6yFYo8YcQ2W8p1U5Q6Yk+F2q9P17ajhG0o7VEYvZZprocdGetNl3EUgcSZ6bZGlh7JaCs4Go1NrKmTaEjCOfh0/cvaP1RFQ+yOADLSxgR6GzcNPlzfw7gt9TzbzKVejb5U6bzD6MAbh5fr4kvh+On6LK4YMz/S70T0PwL4O+nPjwD8WLXrl1PZoXP8CoBfAYBTc+/twOoRmKSwJ5aqK4zg17WK66EwISXeh7ouLjfhdUwBXIwS9Sh1lr8lrVm/l7ootYfqdsWCWHxnVp2/5pyYVKtt5mq/1Fc57Z3LgcTl2ugtGKVr2xf5lXPW5yrn12dEWbd03xpVCp5ew02tfiDBQGbM3vu9Dx4TxVel0ZvaT5EdxK9qHwMRhJqhm5mqe/jTvVVuNFgQ0ReZ+fvpz38bwP+Tvv86gP+FiP4biIPzqwD+8Y1bVyVF0YQFy5SHNuEo2NIUZ/Gm0KkyZSmuwSX8hPaIFWcmEeWwotZzrdBpQzD7Ycqa3dsVvIFRvAKXN1h0JHU1hJiwFdpetvTuQqctpiSuVEKdGWfRMWJHCJ6K8G7CM0RHWYtCB0mw1KP9oW1869BpPq4MCmFWnohQZVjmtkYjgzwTwjxmXAmlcG7ouEgK3jB0ulj0GZnJ84BmMcJvbHZmAmVGoWWLhUhr7hIs2zUh9c2stL960g+FTt3C48uLF/j9xft5v7uLLXbbchMsqtDpvB3feej0bwH4BQAPiOi7AP4KgF8gop9Ol/P/AfiPAYCZf5eIfg3A70H65y/eKBJytKMd7dbZGwcLZv5zB4r/p9fs/9cA/LVP0igAwk1RU71Vswx25o2gLEF5Uv68eo70Bm9MAmVJzF3fJmwtYiehU8q8mDbXrzocbOU759lHhTzUN7S+5VrkN3HoypuSQgIccUkVFz5Ik1GYYQLKojRrmL6NY0OTzMvQlP0ySvHAMXpNUu8UH1HPLDIoaxHhdxKSVFSlLkOk/xSUVU4TugrBmenwkaUEapk9YFpuvPyOIYUvw6Is5sPy9YlkgSSRDAB45eHTDEBmD6r/Ua49ziNCNPktntuvMwtFlqZZTGwsHp5cSq4HBJl5stri2brBallCp2t6RSKZDZNEsueLlV7aBNQX5xG08Aidy+Wr5Q4/tfg+fmv1lVzPB6uXuNh1BxPJls2A88UMDxZVwuaPhG7I6zg3a8ZuVQ6LyE66t2GpFt5FQHkfi+8gOTgjC/M1xPmYB4U3GVcPnY4ZqR45f1mDm5Ck8ioHJ8WEAUlr/aLzwdOH+VO2K+zR1XS48GISyKc2VgOC+l40OW3q+2Bc8cu8QU3siuXjKdeHijYuOyoCwMqZGapr8gUUp7+P8WUp9NbtSTYGm+uOTPDp71j5MvQ718cAsi8AFQlTrk+e+LEO1xuZsGOXzwEAPhqpS+u7Id/mIbu9g8W+1YNHxMTRmAlf9EGOKTpRfe6fgyooMii9BauHGSREMhQ5g4zYUJYwtKPejJLRmbklUh3GV84qo3WWSEBNSqvbKJZroSgIwysPmEYCRi4PZbIwlogBIA9tSPuFtO+hYwDkaI7ZI6FlU8GOdfI00JXBtVwDl7ybqo91m1xLhcDUSISb3tR1uRk4RZ3SA5AjSqlt+vPWaEh1GAaCGRIjdkQZuKOwTlWUpdKerUnREDONhthpNEQZrszIuOjbjMQMTiDcNJgMuAIgUY9I2KVR/8IGgXuPAvf2CgDT9tjq/rFSXySXoiFSvt01eDycYhjLY/x0t8S2gnvbyiex8w67TYsnm8IHED538oUMWTLsj6BK0AsUdCYqL3u1H5x5u5lFHUwhunpMzYZdefU/sR04B5vk/a7KCts1T2Ykn1o7rtm+iaO/nlSlNueBMBYPft5vb9bxqjpu3NRU/5U3LzGQQpFspD4mAG2cDNxUDR6fxPbYEye5HtMGlzd9XhmbiK7x2PZ7mXTEuXGvmxwY4oP1vUXQ7tp2KwYLMkYeeF9eadQ24MSMBUCYq5LF1hYItk3e7hjBp2nE9G/2qWa9jEHCbOrFz+vyVYcwE40OXQLEmYXdXo8spNbrzFSOFtnzLrR4dScI50NIMPRxSXC7wqnp87raTng2P22LrlDHabv22b3ZsoTraLofSNqtuSV6fRQEvp6jFjdsv2IxMiaDpg/TBKuhyxCG8Ex6Anqbo11shWeTXcnIvalZE3PdVLXRVu3xabajUQ9rIloH+GCw7VucLKTTXnbis+AKsv6qAc0eoMfrrIe1DCKWd6j99NasRz6Lox3taNeyWzGzOGTsU7ZoK9Ozml/TXuwyd6YFQP0wHfViBJ3vwNutZBdut1fOMftYFn6m94AxgpIcIlxieja9h9tamCGUugiwz9cwmxbNeUoAer7GPDLsc/Ew80ZmQKuPfOZrzPibriiDNRc+k9CSZ7idIPw0G3bxcRBx5Y2B7QPcZVozbz1mz0jYs/rpLKfrHMK8TAuaFz26zsH0Hl2Kshw6BgDoXNp/9q17U5QnoYr8SNH4hOC2jGYTyyyHAdcnBKy6Vyokpx0LCjVclGxbzVANe4S8dbntI7rHa5x9o01l6reRGZcuE2NKhhPyYjmP2xVk6fDUYf6xOquB5oLg5waLxwWh2z8ycD3DdzQRKdY6tV3Kwn3y4Q4f/pP3MsNV6Bz8fIazF1VSGASZSbHgKJ4vVuLMTC9+nVGsPpS/o6XsX4pWsl5jazF/EnL27sfLE/za05/F7HvlMf7m4hTugqCCTedtaYPxwMkFcH5SCEFofWTKOtrRjvYp262dWRCROB4Pb8xRAzZmirJ8W0uoTE7nVLwBm8RSNSLrkdRKTm++gGotreekss5nZ8r1WZTIiyI1iTLKNFrK3njeo/v/tI2T7yH/bSj7LJSti03yyZjC4EWhOGp572VFND3P2+hrTtpmrn6yRYY75xlc5RuKo7wR2UiZzpIsxD/FlW/pxiFpUzkh0/Xv92O+H6g6JiJNjYuvTCNJsamiIY6AQ5KFBMDwpL+1DnX88gRH8cnum9szWOzhKjglcPEhB40meAElWaxKGLuWsrXu4iOISaIOKSwKQGQKh4S1SNT45i0GizrfA3pOYyril6JfYrzqkQKkEn+jkMiwAewYEdPdZIYAM15/6vi2Nmk3ADCDNBSalxWSkEWhSOkJ5oInS5iclMecjlHn383bJvWXz3rZo+A74ysMS/pOQUh8XM/VsdMEt5vaJIQcS9h80o/7uTSh3ocK/4aGsmMJs/Mr7mfFmdTtj1zquZo788nsuAw52tGOdi27PTOLfTN0NYBdb9MpPFH5W8FTkov3etMdbL2kKdN9mATEMQZIs5taAexNVmMQ8hLClKVVvZyISY0LgavlRgXFDjRZ0rAzwCsEdD+xVcun3PY8vd9bhthK6QycaOn4yjJJ8QysYcu8/e0AF7kPJsuQ4iQs/V2WIZRmDzi0DEnhanWG3nSGwaZaWqWlEZtpPyLhPepjKF5dsmTFM0d5RhEbgj2gIs+HliGoloIBmKbq/ggsQzhG8DiAEp8bRwZvkojQUyHpsvfvCZeEtYKj2KZgvjXCvdk24B98XE76Y18UucLlHJT8GdQW4EtIDy15GVjGOx3cEMv09eMXaLbCs0GXEuGg1QLh/gph7uAX8gt1AHYP50ik0LDpvLGjDN3NKd4OOXrQrMvDYweWm8QSmkdCeRYW99A93iAsW9j1gLCUtruPLwA6xfqDDq7iMQCEErDGYMxaIyJDm6bQ8l068Y+kCMK4TBocmztABIYlodlMTntFom88kSVFtMi4hegENt1tI9z66lMX2/YK/+flBxZ2l2DPldYpCHBJ8c3PALezYHOSBZqUYNdt8UatUwrA0IqqeZgBs5clwjHOLUwAmq206+VPOvR3GXZr4FeM4Wl5CjV3R3VS+nsJSzHMMNwPsP1U65TCzbROFaVa+yhsYFz+uLRhPLEwqrd6P+L0/Utcrq+nddrc6bF7MoO5V6KCsbv+gH0rBotrWS0NUNP7v4LuXx2fbOngeKrOQ/VDZCkATbTaryN9spG36ZUU9b1Zx5uo+jVBDBD/RE6HrqQE5NwGJn3qdm0nV+dnopT2Xl+jlEVH5aFuZKagSMIMwCICDE/o+fN59mn6OxSK/mqbUPYXx+yr+kOvu05RrxPgmIq/I7aE6MUBWFjBU5PjNAFN6fknlq6TYnqQJ3KHKS09t6cMCqGt6uGUYMdAzMlwnGcRtPTwKWQd5pJK7neEuKgGx8R4rg8vpVT1SNNHUJMVr/TfTFLwQ2PzTCouIh6s1jhflPDobDVgVwkHUZUmP58POJ83mFdp6/i8JpJRl34d76cZp4BEJJhhTk+AXQ9OjNuUvtOuB1fHUIwA1UlCEK3T5Mh0LxPOIumgti8czGaEGZPWaTqnfte6yM8l1p5zNCLcNoL6pIua2JS7Z2PGTKiZpD0q9Y0waSnhtiEvT7TO9sUIs+7hAsPsBrh0HbTr4V72aM4c7K6+GQnEBOPLw+C2EYCR9qWHprkMk+mxOuFU5mD+5Corud+bWZjRoHsp+9Xb3Jal3ZurWqedo9wfet1+1hapwxGTmUUuV6ckA4tHepzU6XY8mUkdQobahElwO1Fr655VyTPsEDpC9yypyN1pQVEQqOOO0D1Pfc6ijEYRWZKSPIk2a2C035phnia1Ivdg0J4Dw2V5vDSfQ/Ekqg9S558AwPzJYfTxeGIRGotmUxyfiw8dvslfwOI7pZ7hxQqL86pPKsHriwcN2ucG600ZXPAps3v/cGyP9WoSSg2xGuLT9yoaoqY+giISJPkj7KzQ8QEZGk5jAIUA0s7Tc+p3rSsnkx3oZEvg5DO2fYmi5M2VH4bGkOnhaAwZwJUp/MYAeGlT/kzbKQSh8qsHQieZoGb/TaFhtBy1YMTW5GPzOr8x4MDyUA1x7xzTaw1dtV+1zQ4x9+OVrqn6w1bJcJpsZnwJH8cqjd54Tmt7ygNIOed+IsuVanP0w/YMuy0yBUAlp9hXSXQ90gyoTuLTyEmJ/thB1Myjk6WJ0vNTkGiR3XJm4a7bSlU2rJTvtXd3+E1vekikZawAZxvAXdiJhCRbmvxdJysOQZZD9czvbcLFx2jI0Y52tGvZ7ZhZELCvom7eew+IQRyaQHZ4+idPYX76j4EuE/T3ZAH7skE8mZeRj1lms704PvMM4aNMHYrtvyoq6s2lBwywediK2vhK6ju7fIDxLKmoX8rw71eyTPILB5/2cxtCmBG4S38/Eofssz/5Y1koR63WDVk8cZWKOmP7nhEH2sUDAMDFT84xf9LBLwzcZYBPjsj5osX2CzMMS4N2PZ127+uGLB8zxrnICao+CDt35RgAWP1z6fsf/CuLyZvpkG5If4/RPXdoLg+oqD9z5S2qb2ZmbB7YqyrqS8rT+qIbkvoktcEvZJ+zZwGP/5T2f1pabM2bdUPWqhti0L8XEJtZbtvuPsGvGKtvS9nuAWH3QHVDprOmXGeSNNw9kLqWH4ma+bMPp7ohFx/fTDfk4+UrdEPui27I4kOX+2b7c2v82a/+Hn7jGz+V6/ng3jm+9/SwbsjDdsTjO6d4WOmGfDQ/vOw5ZLdjsDhg5CT+xGkNryI4AOBXLVxacoRVCzN4+JMO7YWmdDLCqoMdff4EAGzKOfq7isoUEZvtfXE+9mcJ8z9vMJ42Mt1PIazxtAUMoT+z6E9TfsOmxea+hdvI4GWfyuf2IcFfpOakafe4EmYmuUCDMZEiNWvC5ouyLh9P5Rq2DwwoOPg5oXWEYaX5FC22dy2GM7qSfTqeEMZqOUrBYjyR/caTFEk4cIz0ozyImw8iXD0IUWmzZla272+wWS3QvDAYT/WOBpoLIzwQuzIlV9s+JIzr0g8AMJ4xmotUdjIdWOvy5oIwe+6w+0pSmD+Re2K3brE43SEmhur7iVvSmYjGSuUfX6wwDBa7bYMf/9JT/ODJB7lt/fsB5s6A7U5CKtsPPE6/eIHLyxlWqx3O51VexYk4CoZ0j51+UX7c7Yd38Rf+yD/E32z+NADgC8sLfPXkMf7B6R/Gzz78dj7+w/U9RBC+vBDJsZ9afB87dng8nMJU4c1fe5pkdgwXYh/DOH3/Eg9Wa3yTvwB3Iffun/3q7+G/++D/xF+uYr4/f/J1/Oa9r8EQIzLhJ2ZP87Z77hJ/7+4fxS/e/f1c9p93e6Gv19itHSzYB0wILsbSIXY9gnYpuauxQD/Arl1xikaGvexBuwH20oGSE5Orc3QvZF+3CQAB81bkAPUGNzsPt/YwPoKSNKHb2MT43cAmFGVzPmDx1KA5lzq0rvljzo5Chdy6LcGnhLDZswi3LY46TuhODTvOnjm0FwF2MJI0lqIDbu0xe2lhB0K7ni44h52ZiPkungYMO4N2HTHs5IE6dAyAPHtafP9kugY2xcGp/o1hu8LsJaG9QE68AyQcPHsWi8RBRX7D1uSZhdtp+LjMLHRwUKvL3YbRPffovisDmuqVdjugXzbZV/F4LlOgmvzGrC3MQOh64NvDe7iTHJEUWAbTixlmT3Rwc7jcnsFtCJeLDosn9cyizCQB4DIpkL33ccSvfvPn8PxDoVJ4tDjD11cP0T9eTJTCxq1onSq57m+tvjIhv1HTpLB9rdPL9RnOFydYfKfMLH7jGz+Fv2w8/s7/+8fz8b995yv46OnZK7VOHz85xT97ULRRn/XfwnXt6LM42tGOdi07DhZHO9rRrmW3dhkCQ0CtllTR6nFjMtybVRdkL8mLWycIzvS5fw5ldDaDhEP9jIRlO7N7C4Rczp/OaQjcGISZxZgQkV0n37tO41mJ6WpBJZSXZth+TvDJIRjWlKf3FJMTkZGvy3cCBw8twQ4FwMVG2LrHJU0U0wFxGI6rMp0fL0zeT52Kh47R/pK/92DKVJx7ugzxZx5mcPCBig+GAWKCXxOa5OMJGhpmuXZd4qnfZDwp/hxfaCHzdWo5G0KYWfiV+qnkRNFZxFXI/WxXGh/m7AcYqUUMhLgxsCcjQkI3EotzMywjQvrthlNGvDtibB146TEMFeI31R0VxHd3TP3V4qv3nuC3z+UCFssd7i83+M7g8MG94kh8tpmDmXA3sW1/sHoJHw2e7uS4zkrbv7kQ9WemklvJqb7ZasDwYpUBgB/cO8fPn3wdv33nK7meP3nvIzBTZvd+uLjI286aHX4HwJ+4//1c9nX3I+DgRKzgcsAEpGWGkP+mMYJ8AA1+wsFJgxd8QvrcP4dNEF8BWAm82G1j/iHISwZqnYlqhgAYgm1M9reaPqDZRph+ittoNoxmD9wkbaO8Xc1tGc2lDC5aV7MVHAM7ATEpoa0ZA1wfEdcmw5TzqfdQrM02go3Jn1p26Bga5GZtLnElGkL7KeCNQ3NJaC5LoUZDmi0fjIY0ayr9oc2k4rPYz46sy92GYXcBzXki6vEaRSL4ShApDIpyBcKVaAih77rqvEBzLgOplrXnhNg2Eg0ZGrQVuMl7dWgn5GsadJo14+tPHiI+k4HlYmex2zWIz9qJmrlGQ1QA6GLXHYyGOPXd7EVDYttg11sszguO4ntPz/Cb976Gj6roBzNNoiHPNwUPP29HPH5yit+p+rn3108Bvr2DBYDXso7ubyN6/f5Xjk+fBgXsRVVCUL1PVj+7WSJOBj5ROWedaDQh7KWyb064MlQd9xqej0/LqtMfJOyl1L66v+KBsvokVF3vTZs/ja6muricMJdzGZBSVEH3nSSxaVs/YXcS8aRtxvDVc165XaXdxnC6dXmynxINA3htSr8Q9pYXj56HDIMjTSItn9Ru92DxOpbuQ2zctSbpG8+dPiOyIM1E66Pep9ZCvcGAUd6w5Zy1bkj+Xm9npJBtmo/mfZVt/B0OGFX3TVYksWwv+qFVe/fLqpnFRNv1pvcvTz+v8DXk8pKxqcQ4um+RI0D5vT/h87SvLxojXT1n9dvmY5D2RVkhX7kngAlL+r5FpnyO+rycyuKNR+ardrsHi/oNWquJ1bqmKdWbjZnsf11FMnaUkrBUvauq2yT4tvpHksbqtRTJmpKRmbVv2pKUVeuSGi/ficvxoUkJazYllGWWqpLI9k4UydppqjYTSp+kSwwzFgW36npkCSXnLzoj6cFkmqSH58+3VSRTfVFVB+MExNKxXgFGhBw6jSH5ogDwLCA2Nh8bs9ZpSSS7iSLZncUWL+YCHnFzj9Wix/N5OwFEMRMYRXv0zmIL5qLroSzcypnJhstASHxQkWw+H/ATs6eT8OjDxQWeb+YZZ3FvWdaUn1SR7BgNOdrRjnYtOw4WRzva0a5lt2MZwgBimJDfqOCQ5ou4L34BHCPMcgkEBiU0Zo5YMIMvy/Qqfvk+KAjsO/NqqtiyMVMfAAo8Oa+zNztBh6bvgKBFt19aws+EVAYAxpMG/ZlBey6kMuZeCX3Va+t8qUbrLWVZAJcAu5apqx1maDYebBu4rUd0yWu+GWH7DuMXaRL9YCN5FL6ABtHvDIbTJKycYd5GWKRS/eOplPcPl7r5qgNy/5Vi+arfIR1jB75CcqPXaJMkoS45xlUVIl0J4xMFWb5l3o+OER1h89CVdqmQD5Ljd698v13sWPY1PMlUpUAgX7hBxzNGc6fH2DQ4ebDGZZTfEhHgZQBGys5GezZgNhtx+aUzPGyGXLdrAloXAMuYtyVVXyUGtWzZyO+889NHsCwBp/Hr5k6P+XzAxYMGQ7pfHrYj7rlLqS/ZWbOb1Kv1AMAvPvg6+vA1fO2shE7/kb0+PdjtGCwO2V6aM/uQQ6l1OHQSIq3DqzsP9APMtsC9MYzJWRlgd8qtkEKd2yjhOe0RPWf6rnU1lx6ILj/0bu3RnVuBaRPBJI2RZs2vDW3uhzObBAPPIcwUjrWNyZ+63e4Cmkt7JVHN+BJWBIDuXNK7mzXDpy5oL6M8oMlpa5LGplt7CXFelPCi2n5YM3QGzYWEN+ttbsO5H/etqUK9et3tuclhQFMR7jAJdBzQRDKgOw9oU+i0DmP6iirAD1PmMN1HP2PboFmXa/MX4s9oEgS+fW7Q2xncxuBiOEH3pPg3/NYAsZyvtx02tsOdp4xvPrkP81zq3vUW/baBed7gsT0t15TykvrEbna+SMlrmymz0MkFDtruyQznc+GjUNatx3dO8ffu/lE8flLq+R1g8rfWAwB9+Bq+/fheFmUGgO14tc9eZbd3sLB78SJDEN50TIBWE/BVdUxsLawV+UFO+1IIGemiMoF2lBtlnBuQRwZbIZ0TwKSu0FmEuck0daEzGBeE2FkwAS45Ct8EmlLAFAABTaXyDI5KQK8ws7BjzO3l1gkorAZ9AVDpwBrcNG4IfiG8DLmuYITfIr2mMyjLGTCmQCm1fcDUeCfC9hZspvWxIYwXJnNn7F+79kfOOl1VQK+lcGISp1CyOnrnEu70M4PhNP12FUBKvwMAL69WPKb+jM4I4GpZHs7xBBiXXNpzGmHuDfCtQ3M6YOw15g3EZQC4SEXQ3QFkGX6xwB968BS/eyHTpdlqwNlyi0fhDO9X2Z0v14J3OEvJbupkrEWKgakAUG3m3oD5osd6c5Idsg8fnOMX7/7+JNfjT9z//gRHUTszv3b2fYzB4qfvfzeX/Y67/szi6LM42tGOdi07DhZHO9rRrmW3dxnCe06yyKUsVhR6+j3GyTGUaPYErl3R4gEAcxHMSZ/Gc/53sI70acYIMxbyWRMYdmAYdaKmTzsU0lk1OxBi8h0Yz7ADVd+R69AySu2hvXbJ/pwdhlJxwnZUOAo7MMKQ2MPT0knsJFEAAAFJSURBVNSOZboPFFo3CoJXMANKW7RJe8tas6O8X71Nr3n/uvf7Q6/b9qX+6KZLH6dK7IZgE9Wd7ZXAR4+n/B0Awv7SNbVV9/U7O7k2MwDWUe5H0xPGjYPZWoy2QbNTOCXA1goXZyobNg4w0v4nmyWQWMp72+CcGNhZnG8qf4H6KvY8w/U+2qZDFjYOW2LYXfFZnG9m+Fb/3uQc31+cXjmn2rebe3i+meO78zu5zMfrzxeIr4N2fMdGRB8DWAN48sNuy2dsD3C85j8Idpuv+ceZ+b3r7HgrBgsAIKLfZuaf+WG347O04zX/wbAflWs++iyOdrSjXcuOg8XRjna0a9ltGix+5YfdgB+CHa/5D4b9SFzzrfFZHO1oR7vddptmFkc72tFusR0Hi6Md7WjXsuNgcbSjHe1adhwsjna0o13LjoPF0Y52tGvZ/w9d3p6xIk1iNgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.24935579299927 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1e-06} is: \n",
      "[[  20.00002    12.          0.       ...    0.          0.\n",
      "     0.      ]\n",
      " [  12.         20.000032    0.       ...    0.          0.\n",
      "     0.      ]\n",
      " [   0.          0.         20.00002  ...   20.00002    20.00002\n",
      "    20.00002 ]\n",
      " ...\n",
      " [   0.          0.         20.00002  ... 1052.001792 1052.001806\n",
      "   984.001808]\n",
      " [   0.          0.         20.00002  ... 1052.001806 1052.001876\n",
      "   984.001954]\n",
      " [   0.          0.         20.00002  ...  984.001808  984.001954\n",
      "   922.003154]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 41.932133436203 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1e-05} is: \n",
      "[[  20.0002       12.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  12.           20.00032       0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           20.0002     ...   20.0002\n",
      "    20.0002       20.0002    ]\n",
      " ...\n",
      " [   0.            0.           20.0002     ... 1052.01792018\n",
      "  1052.01806017  984.01808009]\n",
      " [   0.            0.           20.0002     ... 1052.01806017\n",
      "  1052.01876019  984.01954015]\n",
      " [   0.            0.           20.0002     ...  984.01808009\n",
      "   984.01954015  922.0315404 ]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.69877338409424 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 0.0001} is: \n",
      "[[  20.002        12.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  12.           20.00320016    0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           20.002      ...   20.002\n",
      "    20.002        20.002     ]\n",
      " ...\n",
      " [   0.            0.           20.002      ... 1052.179218\n",
      "  1052.18061656  984.18080912]\n",
      " [   0.            0.           20.002      ... 1052.18061656\n",
      "  1052.18761912  984.19541516]\n",
      " [   0.            0.           20.002      ...  984.18080912\n",
      "   984.19541516  922.31543964]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.39898371696472 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 0.001} is: \n",
      "[[  20.02         12.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  12.           20.032016      0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           20.02       ...   20.02\n",
      "    20.02         20.02      ]\n",
      " ...\n",
      " [   0.            0.           20.02       ... 1053.79380088\n",
      "  1053.80765645  985.80891211]\n",
      " [   0.            0.           20.02       ... 1053.80765645\n",
      "  1053.87791287  985.95551658]\n",
      " [   0.            0.           20.02       ...  985.80891211\n",
      "   985.95551658  925.15796565]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb689026d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.85403847694397 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 0.01} is: \n",
      "[[  20.2          12.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  12.           20.3216        0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           20.2        ...   20.2\n",
      "    20.2          20.2       ]\n",
      " ...\n",
      " [   0.            0.           20.2        ... 1070.10088288\n",
      "  1070.226048   1002.171312  ]\n",
      " [   0.            0.           20.2        ... 1070.226048\n",
      "  1070.95207088 1003.692176  ]\n",
      " [   0.            0.           20.2        ... 1002.171312\n",
      "  1003.692176    953.938048  ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.31627321243286 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 0.1} is: \n",
      "[[  22.       12.        0.     ...    0.        0.        0.    ]\n",
      " [  12.       23.36      0.     ...    0.        0.        0.    ]\n",
      " [   0.        0.       22.     ...   22.       22.       22.    ]\n",
      " ...\n",
      " [   0.        0.       22.     ... 1250.1088 1249.608  1174.032 ]\n",
      " [   0.        0.       22.     ... 1249.608  1259.6168 1195.136 ]\n",
      " [   0.        0.       22.     ... 1174.032  1195.136  1278.688 ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f81d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.66733121871948 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1.0} is: \n",
      "[[  40.   12.    0. ...    0.    0.    0.]\n",
      " [  12.   68.    0. ...    0.    0.    0.]\n",
      " [   0.    0.   40. ...   40.   40.   40.]\n",
      " ...\n",
      " [   0.    0.   40. ... 5812. 4962. 3816.]\n",
      " [   0.    0.   40. ... 4962. 5996. 5030.]\n",
      " [   0.    0.   40. ... 3816. 5030. 9688.]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.950223207473755 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 10.0} is: \n",
      "[[2.200000e+02 1.200000e+01 0.000000e+00 ... 0.000000e+00 0.000000e+00\n",
      "  0.000000e+00]\n",
      " [1.200000e+01 1.940000e+03 0.000000e+00 ... 0.000000e+00 0.000000e+00\n",
      "  0.000000e+00]\n",
      " [0.000000e+00 0.000000e+00 2.200000e+02 ... 2.200000e+02 2.200000e+02\n",
      "  2.200000e+02]\n",
      " ...\n",
      " [0.000000e+00 0.000000e+00 2.200000e+02 ... 3.958972e+06 6.327120e+05\n",
      "  2.222640e+05]\n",
      " [0.000000e+00 0.000000e+00 2.200000e+02 ... 6.327120e+05 3.959012e+06\n",
      "  7.481240e+05]\n",
      " [0.000000e+00 0.000000e+00 2.200000e+02 ... 2.222640e+05 7.481240e+05\n",
      "  2.076862e+06]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACzZJREFUeJzt3c9r3HUex/HXq78SKoqWrtmuyq4rOaiHDRLUgywVQWsvUQqlXiwixEP9A+qpHr2IIKyFCqX1oG7BLfZQ/EEunvxRobjVrhi0YmPb7G4Xd7E0/fXew3yLQ02ad+Y7M5+ZzPMBYWa+mUnen6R9Mt/JfGccEQKAxawoPQCA/kAsAKQQCwApxAJACrEAkEIsAKQUj4XtTba/tj1te2fpeTrF9gnbf7d91PaRats62x/a/qY6vaX0nHXY3mt71vaxpm3zrtENr1a/9y9s31du8tYtsOYXbc9Uv+ujtjc3fe6Fas1f236szNStKRoL2ysl/UXS45LukfSU7XtKztRhD0fEWESMV5d3SpqKiFFJU9XlfrZP0qZrti20xscljVYfk5J2d2nGdtunX69Zkl6pftdjEXFYkqp/29sk3Vvd5rXq/0BfKH3P4n5J0xHxbURckPS2pInCM3XThKT91fn9kp4oOEttEfGRpLPXbF5ojROS3oiGjyXdbHtDdyZtnwXWvJAJSW9HxFxEfCdpWo3/A32hdCxuk/RD0+WT1bblKCR9YPtz25PVtpGIOFWdPy1ppMxoHbXQGpf77/75avdqb9PuZV+vuXQsBslDEXGfGne/d9j+c/Mno/G8+2X93PtBWGNlt6S7JI1JOiXp5bLjtEfpWMxIuqPp8u3VtmUnImaq01lJB9W4+3nm6l3v6nS23IQds9Aal+3vPiLORMTliLgi6XX9sqvR12suHYvPJI3avtP2GjUe/DlUeKa2s32D7Ruvnpf0qKRjaqx1e3W17ZLeLTNhRy20xkOSnq7+KvKgpJ+adlf62jWPvTypxu9aaqx5m+0h23eq8eDup92er1WrSn7ziLhk+3lJ70taKWlvRHxZcqYOGZF00LbU+Jm/GRHv2f5M0gHbz0r6XtLWgjPWZvstSRslrbd9UtIuSS9p/jUelrRZjQf5zkl6pusDt8ECa95oe0yNXa4Tkp6TpIj40vYBSV9JuiRpR0RcLjF3K8wh6gAySu+GAOgTxAJACrEAkEIsAKQQCwApHYvFUo8mbXoK9MBgzYNhuay5I7Fo8WjSZfEDXSLWPBiWxZo7dc9i0I8mBZadTj2Dc76j6x5Y6MprPBTDWqubvG6gniHGmgdDL6/5vH7WhZhz5rrFnu5d7cdNSo0f5kO/vJgQgC75JKbS1+3UbsiiR9dFxJ6IGI+I8dUa6tAYANqlU7EYiKNJgUHSkd2QATqaFBgYHXvMonqR0sOd+voAuotncAJIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASBlVZ0b2z4h6X+SLku6FBHjttdJ+qukP0g6IWlrRPyn3pgASmvHPYuHI2IsIsaryzslTUXEqKSp6jKAPteJ3ZAJSfur8/slPdGB7wGgy+rGIiR9YPtz25PVtpGIOFWdPy1ppOb3ANADaj1mIemhiJixfaukD23/o/mTERG2Y74bVnGZlKRhra05BoBOq3XPIiJmqtNZSQcl3S/pjO0NklSdzi5w2z0RMR4R46s1VGcMAF3Qcixs32D7xqvnJT0q6ZikQ5K2V1fbLundukMCKK/ObsiIpIO2r36dNyPiPdufSTpg+1lJ30vaWn9MAKW1HIuI+FbSn+bZ/m9Jj9QZCkDv4RmcAFKIRY/y6jWlR0AXrRge1orh4dJjXFfdP52iQ+LihdIjoIuunD9feoRFcc8CQAqxAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQAqxAJBCLNAau/QE1+WhIXloqOfn7CerSg+APhVReoLrirm50iMsO9yzAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQAqxAJCyaCxs77U9a/tY07Z1tj+0/U11eku13bZftT1t+wvb93VyeADdk7lnsU/Spmu27ZQ0FRGjkqaqy5L0uKTR6mNS0u72jAmgtEVjEREfSTp7zeYJSfur8/slPdG0/Y1o+FjSzbY3tGtYAOW0+pjFSEScqs6fljRSnb9N0g9N1ztZbQPQ52o/wBkRIWnJhyDanrR9xPaRi+IIQaDXtRqLM1d3L6rT2Wr7jKQ7mq53e7XtVyJiT0SMR8T4ag21OAaAbmk1Fockba/Ob5f0btP2p6u/ijwo6aem3RUAfWzRF7+x/ZakjZLW2z4paZeklyQdsP2spO8lba2ufljSZknTks5JeqYDMwMoYNFYRMRTC3zqkXmuG5J21B0KQO/hGZwAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRZoiYd6+71ethyf1Zbjsz0/Zz8hFgBSFn0rAGA+ceFC6RGu629jjTfG6/U5+wmxQGtiyW9v21Uxx/vnthu7IQBSiAWAFGIBIIVYAEghFgBSiAWAFGKBwWaXnqBvEAsMth5/vkgvIRYAUogFgBRiASCFWABIIRbAPLYcny09QtvVXROxAObxzt23lh6h7equiVgASCEWAFKIBYAUYgEghVgASCEWAFKIBYAUYgEghVgASCEWQE0r1q5t+bZeVe+te7x6Ta3bLwWxAGq6cu5cy7eNS5dqfe+42L13XCMWAFKIBYAUYgEgZdFY2N5re9b2saZtL9qesX20+tjc9LkXbE/b/tr2Y50aHEB3Ze5Z7JO0aZ7tr0TEWPVxWJJs3yNpm6R7q9u8Zntlu4YFUM6isYiIjySdTX69CUlvR8RcRHwnaVrS/TXmA9Aj6jxm8bztL6rdlFuqbbdJ+qHpOierbQD6XKux2C3pLkljkk5JenmpX8D2pO0jto9c1FyLYwDolpZiERFnIuJyRFyR9Lp+2dWYkXRH01Vvr7bN9zX2RMR4RIyv1lArYwDoopZiYXtD08UnJV39S8khSdtsD9m+U9KopE/rjQigFyz6xHTbb0naKGm97ZOSdknaaHtMUkg6Iek5SYqIL20fkPSVpEuSdkTE5c6MDqCbHD3wxrA3eV084EdKjwEMnE9iSv+Ns6m3kucZnABSiAVQU53DzDlEHRggdQ4z5xB11LZieLj0COii9388qvd/PFp6jOsiFgBS6u0woWOunD9fegR00WO/Gys9wqK4ZwEghVgASCEWAFKIBYAUYgEghVgASCEWAFKIBYAUYgEghVgASCEWAFKIBVBTndeUqPt6FD+/98dat18KYgHUVOc1Jeq+HsUNm76tdfulIBYAUogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFMI8tx2dLj9B2W4+frnV7YgHM4527by09QtsduPu3tW5PLACkEAsAKcQCQAqxAJDiiCg9g2z/U9LPkv5VepYuWy/WPAh6ec2/j4jfZK7YE7GQJNtHImK89BzdxJoHw3JZM7shAFKIBYCUXorFntIDFMCaB8OyWHPPPGYBoLf10j0LAD2MWABIIRYAUogFgBRiASDl/9NerQ6LSdVGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24637b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.9415488243103 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 100.0} is: \n",
      "[[2.02000000e+03 1.20000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+01 1.63220000e+05 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.02000000e+03 ... 2.02000000e+03\n",
      "  2.02000000e+03 2.02000000e+03]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.02000000e+03 ... 2.96981803e+10\n",
      "  4.64741652e+08 1.21301784e+08]\n",
      " [0.00000000e+00 0.00000000e+00 2.02000000e+03 ... 4.64741652e+08\n",
      "  2.96873087e+10 5.91356384e+08]\n",
      " [0.00000000e+00 0.00000000e+00 2.02000000e+03 ... 1.21301784e+08\n",
      "  5.91356384e+08 1.68795632e+09]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb68902ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.234039068222046 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1000.0} is: \n",
      "[[2.00200000e+04 1.20000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+01 1.60320200e+07 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.00200000e+04 ... 2.00200000e+04\n",
      "  2.00200000e+04 2.00200000e+04]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.00200000e+04 ... 2.88881802e+14\n",
      "  4.49657807e+11 1.12913809e+11]\n",
      " [0.00000000e+00 0.00000000e+00 2.00200000e+04 ... 4.49657807e+11\n",
      "  2.88869914e+14 5.77517955e+11]\n",
      " [0.00000000e+00 0.00000000e+00 2.00200000e+04 ... 1.12913809e+11\n",
      "  5.77517955e+11 1.65196715e+12]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.92475128173828 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 10000.0} is: \n",
      "[[2.00020000e+05 1.20000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+01 1.60032002e+09 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.00020000e+05 ... 2.00020000e+05\n",
      "  2.00020000e+05 2.00020000e+05]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.00020000e+05 ... 2.88088018e+18\n",
      "  4.48165618e+14 1.12091218e+14]\n",
      " [0.00000000e+00 0.00000000e+00 2.00020000e+05 ... 4.48165618e+14\n",
      "  2.88086819e+18 5.76151620e+14]\n",
      " [0.00000000e+00 0.00000000e+00 2.00020000e+05 ... 1.12091218e+14\n",
      "  5.76151620e+14 1.64839643e+15]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.67373847961426 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 100000.0} is: \n",
      "[[2.00002000e+06 1.20000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+01 1.60003200e+11 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.00002000e+06 ... 2.00002000e+06\n",
      "  2.00002000e+06 2.00002000e+06]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.00002000e+06 ... 2.88008800e+22\n",
      "  4.48016560e+17 1.12009120e+17]\n",
      " [0.00000000e+00 0.00000000e+00 2.00002000e+06 ... 4.48016560e+17\n",
      "  2.88008680e+22 5.76015160e+17]\n",
      " [0.00000000e+00 0.00000000e+00 2.00002000e+06 ... 1.12009120e+17\n",
      "  5.76015160e+17 1.64803964e+18]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.39040184020996 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1000000.0} is: \n",
      "[[2.00000200e+07 1.20000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+01 1.60000320e+13 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000200e+07 ... 2.00000200e+07\n",
      "  2.00000200e+07 2.00000200e+07]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.00000200e+07 ... 2.88000880e+26\n",
      "  4.48001656e+20 1.12000912e+20]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000200e+07 ... 4.48001656e+20\n",
      "  2.88000868e+26 5.76001516e+20]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000200e+07 ... 1.12000912e+20\n",
      "  5.76001516e+20 1.64800396e+21]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACnZJREFUeJzt3U+I33edx/Hna9saUSw2dHfotmUtkks9OJShuktZIgX755J6KfVikEI8tIc91lM9ehGLsBYihMaD7eZSmkOwllx66KqNELqpbDFoShPTxN0uKspGG997mG/ojziz8+785vf7zszv+YDh9/t95/ubeX9mkiff729+v5lUFZK0kb8ZewBJO4OxkNRiLCS1GAtJLcZCUouxkNQyeiySPJjkrSRnkzw19jyzkuRckv9IcjrJqWHb3iSvJPnFcHnL2HNOI8mRJJeTnJnYtuYas+o7w/f9jST3jDf55q2z5m8kuTB8r08neXjifV8f1vxWkgfGmXpzRo1FkhuAfwUeAu4Gvpzk7jFnmrEvVNVyVa0Mt58CTlbVPuDkcHsnew548Lpt663xIWDf8HYIeHZOM2615/jrNQN8e/heL1fVCYDh3/ZjwGeG+3x3+D+wI4x9ZHEvcLaqfllVfwJeAA6MPNM8HQCODtePAo+MOMvUqupV4L3rNq+3xgPA92vVj4FPJrltPpNunXXWvJ4DwAtVdaWqfgWcZfX/wI4wdixuB96ZuH1+2LYbFfCjJD9LcmjYtlRVF4fr7wJL44w2U+utcbd/758cTq+OTJxe7ug1jx2LRXJfVd3D6uH3E0n+efKdtfq8+1393PtFWOPgWeDTwDJwEfjWuONsjbFjcQG4c+L2HcO2XaeqLgyXl4EXWT38vHTt0Hu4vDzehDOz3hp37fe+qi5V1dWq+gvwPT441djRax47Fq8D+5LcleQjrD74c3zkmbZcko8n+cS168AXgTOsrvXgsNtB4KVxJpyp9dZ4HPjK8FORzwO/nThd2dGue+zlS6x+r2F1zY8l2ZPkLlYf3P3pvOfbrBvH/ORV9X6SJ4GXgRuAI1X15pgzzcgS8GISWP2a/6CqfpjkdeBYkseBt4FHR5xxakmeB/YDtyY5DzwNfJO113gCeJjVB/n+CHx17gNvgXXWvD/JMqunXOeArwFU1ZtJjgE/B94Hnqiqq2PMvRnxJeqSOsY+DZG0QxgLSS3GQlKLsZDUYiwktcwsFh/21aQTT4FeGK55MeyWNc8kFpt8Nemu+IJ+SK55MeyKNc/qyGLRX00q7TqzegbnWq+u+9x6O38ke+qjfIybs3ehniHmmhfDdl7z//IH/lRX0tl3tKd7D+dxh2D1i3nfB79MSNKc/KROtved1WnIhq+uq6rDVbVSVSs3sWdGY0jaKrOKxUK8mlRaJDM5DVmgV5NKC2Nmj1kMv6T0xKw+vqT58hmcklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIarlxmjsnOQf8HrgKvF9VK0n2Av8GfAo4BzxaVf8z3ZiSxrYVRxZfqKrlqloZbj8FnKyqfcDJ4bakHW4WpyEHgKPD9aPAIzP4HJLmbNpYFPCjJD9LcmjYtlRVF4fr7wJLU34OSdvAVI9ZAPdV1YUkfwe8kuQ/J99ZVZWk1rrjEJdDAB/lY1OOIWnWpjqyqKoLw+Vl4EXgXuBSktsAhsvL69z3cFWtVNXKTeyZZgxJc7DpWCT5eJJPXLsOfBE4AxwHDg67HQRemnZISeOb5jRkCXgxybWP84Oq+mGS14FjSR4H3gYenX5MSWPbdCyq6pfAZ9fY/t/A/dMMJWn78RmcklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIatkwFkmOJLmc5MzEtr1JXknyi+HylmF7knwnydkkbyS5Z5bDS5qfzpHFc8CD1217CjhZVfuAk8NtgIeAfcPbIeDZrRlT0tg2jEVVvQq8d93mA8DR4fpR4JGJ7d+vVT8GPpnktq0aVtJ4NvuYxVJVXRyuvwssDddvB96Z2O/8sE3SDjf1A5xVVUB92PslOZTkVJJTf+bKtGNImrHNxuLStdOL4fLysP0CcOfEfncM2/5KVR2uqpWqWrmJPZscQ9K8bDYWx4GDw/WDwEsT278y/FTk88BvJ05XJO1gN260Q5Lngf3ArUnOA08D3wSOJXkceBt4dNj9BPAwcBb4I/DVGcwsaQQbxqKqvrzOu+5fY98Cnph2KEnbj8/glNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUoux0K70zLnXeObca2OPsasYC0ktG/4pAGkn+pdP/dPYI+w6HllIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEWklqMhaQWYyGpxVhIajEW0hp24+/CmHZNqaotGmXzbs7e+lzuH3sMaeH8pE7yu3ovnX09spDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktRgLSS3GQlKLsZDUYiwktWwYiyRHklxOcmZi2zeSXEhyenh7eOJ9X09yNslbSR6Y1eCS5qtzZPEc8OAa279dVcvD2wmAJHcDjwGfGe7z3SQ3bNWwksazYSyq6lXgvebHOwC8UFVXqupXwFng3inmk7RNTPOYxZNJ3hhOU24Ztt0OvDOxz/lhm6QdbrOxeBb4NLAMXAS+9WE/QJJDSU4lOfVnrmxyDEnzsqlYVNWlqrpaVX8BvscHpxoXgDsndr1j2LbWxzhcVStVtXITezYzhqQ52lQsktw2cfNLwLWflBwHHkuyJ8ldwD7gp9ONKGk7uHGjHZI8D+wHbk1yHnga2J9kGSjgHPA1gKp6M8kx4OfA+8ATVXV1NqNLmif/FIC0wPxTAJK2nLGQ1GIsJLUYC2kbePnXp3n516fHHuP/ZSwktWz4o1NJs/fA3y+PPcKGPLKQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkLawZb+/ea5fS5jIe1gl/7xd3P7XMZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNbwzLnXxh5hy027Jv+KurTA/CvqkracsZDUYiwktRgLSS3b4gHOJL8B/gD819izzNmtuOZFsJ3X/A9V9bedHbdFLACSnKqqlbHnmCfXvBh2y5o9DZHUYiwktWynWBwee4ARuObFsCvWvG0es5C0vW2nIwtJ25ixkNRiLCS1GAtJLcZCUsv/ASXmitVDJa/KAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f81d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.562543630599976 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 10000000.0} is: \n",
      "[[2.00000020e+08 1.20000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+01 1.60000032e+15 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000020e+08 ... 2.00000020e+08\n",
      "  2.00000020e+08 2.00000020e+08]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.00000020e+08 ... 2.88000088e+30\n",
      "  4.48000166e+23 1.12000091e+23]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000020e+08 ... 4.48000166e+23\n",
      "  2.88000087e+30 5.76000152e+23]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000020e+08 ... 1.12000091e+23\n",
      "  5.76000152e+23 1.64800040e+24]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe26a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.47181940078735 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 100000000.0} is: \n",
      "[[2.00000002e+09 1.20000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+01 1.60000003e+17 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000002e+09 ... 2.00000002e+09\n",
      "  2.00000002e+09 2.00000002e+09]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.00000002e+09 ... 2.88000009e+34\n",
      "  4.48000017e+26 1.12000009e+26]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000002e+09 ... 4.48000017e+26\n",
      "  2.88000009e+34 5.76000015e+26]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000002e+09 ... 1.12000009e+26\n",
      "  5.76000015e+26 1.64800004e+27]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.51755976676941 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 1000000000.0} is: \n",
      "[[2.00000000e+10 1.20000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.20000000e+01 1.60000000e+19 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000000e+10 ... 2.00000000e+10\n",
      "  2.00000000e+10 2.00000000e+10]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 2.00000000e+10 ... 2.88000001e+38\n",
      "  4.48000002e+29 1.12000001e+29]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000000e+10 ... 4.48000002e+29\n",
      "  2.88000001e+38 5.76000002e+29]\n",
      " [0.00000000e+00 0.00000000e+00 2.00000000e+10 ... 1.12000001e+29\n",
      "  5.76000002e+29 1.64800000e+30]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c144390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 42.55279183387756 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 3.0, 'lmda': 10000000000.0} is: \n",
      "[[2.000e+11 1.200e+01 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.200e+01 1.600e+21 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 2.000e+11 ... 2.000e+11 2.000e+11 2.000e+11]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 2.000e+11 ... 2.880e+42 4.480e+32 1.120e+32]\n",
      " [0.000e+00 0.000e+00 2.000e+11 ... 4.480e+32 2.880e+42 5.760e+32]\n",
      " [0.000e+00 0.000e+00 2.000e+11 ... 1.120e+32 5.760e+32 1.648e+33]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.88088607788086 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1e-10} is: \n",
      "[[6.50000000e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 7.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.50000000e+01 ... 8.10000000e+01\n",
      "  8.10000000e+01 8.10000000e+01]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.10000000e+01 ... 4.64900000e+03\n",
      "  4.54500000e+03 4.54900000e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10000000e+01 ... 4.54500000e+03\n",
      "  4.44700000e+03 4.44100000e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10000000e+01 ... 4.54900000e+03\n",
      "  4.44100000e+03 4.47100001e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.048593521118164 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1e-09} is: \n",
      "[[6.50000002e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 7.20000003e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.50000002e+01 ... 8.10000002e+01\n",
      "  8.10000002e+01 8.10000002e+01]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.10000002e+01 ... 4.64900004e+03\n",
      "  4.54500004e+03 4.54900004e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10000002e+01 ... 4.54500004e+03\n",
      "  4.44700004e+03 4.44100005e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10000002e+01 ... 4.54900004e+03\n",
      "  4.44100005e+03 4.47100008e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.604299545288086 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1e-08} is: \n",
      "[[6.50000022e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 7.20000031e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.50000022e+01 ... 8.10000022e+01\n",
      "  8.10000022e+01 8.10000022e+01]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.10000022e+01 ... 4.64900039e+03\n",
      "  4.54500039e+03 4.54900042e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10000022e+01 ... 4.54500039e+03\n",
      "  4.44700040e+03 4.44100045e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10000022e+01 ... 4.54900042e+03\n",
      "  4.44100045e+03 4.47100076e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb5d7e25c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.84423804283142 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1e-07} is: \n",
      "[[6.50000224e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 7.20000312e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.50000224e+01 ... 8.10000224e+01\n",
      "  8.10000224e+01 8.10000224e+01]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.10000224e+01 ... 4.64900392e+03\n",
      "  4.54500389e+03 4.54900422e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10000224e+01 ... 4.54500389e+03\n",
      "  4.44700403e+03 4.44100454e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10000224e+01 ... 4.54900422e+03\n",
      "  4.44100454e+03 4.47100759e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.50824785232544 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1e-06} is: \n",
      "[[6.50002240e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 7.20003120e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.50002240e+01 ... 8.10002240e+01\n",
      "  8.10002240e+01 8.10002240e+01]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.10002240e+01 ... 4.64903916e+03\n",
      "  4.54503895e+03 4.54904218e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10002240e+01 ... 4.54503895e+03\n",
      "  4.44704026e+03 4.44104542e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10002240e+01 ... 4.54904218e+03\n",
      "  4.44104542e+03 4.47107588e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.558002948760986 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1e-05} is: \n",
      "[[6.50022400e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 7.20031201e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.50022400e+01 ... 8.10022400e+01\n",
      "  8.10022400e+01 8.10022400e+01]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.10022400e+01 ... 4.64939159e+03\n",
      "  4.54538951e+03 4.54942183e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10022400e+01 ... 4.54538951e+03\n",
      "  4.44740265e+03 4.44145419e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10022400e+01 ... 4.54942183e+03\n",
      "  4.44145419e+03 4.47175889e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.628111362457275 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 0.0001} is: \n",
      "[[6.50224019e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 7.20312061e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.50224019e+01 ... 8.10224019e+01\n",
      "  8.10224019e+01 8.10224019e+01]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.10224019e+01 ... 4.65291887e+03\n",
      "  4.54889780e+03 4.55321930e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10224019e+01 ... 4.54889780e+03\n",
      "  4.45102939e+03 4.44554332e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.10224019e+01 ... 4.55321930e+03\n",
      "  4.44554332e+03 4.47859354e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb5d7e25c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.301332235336304 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 0.001} is: \n",
      "[[6.52241921e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 7.23126085e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.52241921e+01 ... 8.12241921e+01\n",
      "  8.12241921e+01 8.12241921e+01]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.12241921e+01 ... 4.68848458e+03\n",
      "  4.58424911e+03 4.59129182e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.12241921e+01 ... 4.58424911e+03\n",
      "  4.48758275e+03 4.48657940e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.12241921e+01 ... 4.59129182e+03\n",
      "  4.48657940e+03 4.54739909e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461aeb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.817808389663696 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 0.01} is: \n",
      "[[6.72592640e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 7.51812813e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.72592640e+01 ... 8.32592640e+01\n",
      "  8.32592640e+01 8.32592640e+01]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.32592640e+01 ... 5.07487390e+03\n",
      "  4.96576790e+03 4.98191149e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.32592640e+01 ... 4.96576790e+03\n",
      "  4.88307472e+03 4.91167067e+03]\n",
      " [2.00000000e+01 2.00000000e+01 8.32592640e+01 ... 4.98191149e+03\n",
      "  4.91167067e+03 5.28282860e+03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.42012095451355 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 0.1} is: \n",
      "[[8.93840000e+01 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.09772800e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 8.93840000e+01 ... 1.05384000e+02\n",
      "  1.05384000e+02 1.05384000e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.05384000e+02 ... 1.39665408e+04\n",
      "  1.31096732e+04 9.99189165e+03]\n",
      " [2.00000000e+01 2.00000000e+01 1.05384000e+02 ... 1.31096732e+04\n",
      "  1.36994003e+04 1.09159036e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.05384000e+02 ... 9.99189165e+03\n",
      "  1.09159036e+04 1.90906862e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.30138349533081 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1.0} is: \n",
      "[[5.4500000e+02 4.2000000e+01 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [4.2000000e+01 1.6000000e+03 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [4.0000000e+00 4.0000000e+00 5.4500000e+02 ... 5.6100000e+02\n",
      "  5.6100000e+02 5.6100000e+02]\n",
      " ...\n",
      " [2.0000000e+01 2.0000000e+01 5.6100000e+02 ... 5.5201405e+07\n",
      "  2.7070565e+07 3.7657900e+05]\n",
      " [2.0000000e+01 2.0000000e+01 5.6100000e+02 ... 2.7070565e+07\n",
      "  5.6227287e+07 8.7973800e+05]\n",
      " [2.0000000e+01 2.0000000e+01 5.6100000e+02 ... 3.7657900e+05\n",
      "  8.7973800e+05 8.0506750e+06]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f2198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.570582151412964 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 10.0} is: \n",
      "[[8.55050000e+04 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.82399200e+06 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 8.55050000e+04 ... 8.55210000e+04\n",
      "  8.55210000e+04 8.55210000e+04]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 8.55210000e+04 ... 1.45800903e+16\n",
      "  1.04720467e+15 7.94346077e+09]\n",
      " [2.00000000e+01 2.00000000e+01 8.55210000e+04 ... 1.04720467e+15\n",
      "  1.46179765e+16 1.05982134e+11]\n",
      " [2.00000000e+01 2.00000000e+01 8.55210000e+04 ... 7.94346077e+09\n",
      "  1.05982134e+11 2.70394568e+12]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe26a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.20673108100891 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 100.0} is: \n",
      "[[6.59424650e+07 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.32861113e+10 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.59424650e+07 ... 6.59424810e+07\n",
      "  6.59424810e+07 6.59424810e+07]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 6.59424810e+07 ... 9.76031932e+25\n",
      "  7.28718337e+23 4.86537429e+15]\n",
      " [2.00000000e+01 2.00000000e+01 6.59424810e+07 ... 7.28718337e+23\n",
      "  9.76064507e+25 6.46947761e+17]\n",
      " [2.00000000e+01 2.00000000e+01 6.59424810e+07 ... 4.86537429e+15\n",
      "  6.46947761e+17 1.63044342e+19]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.444000005722046 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1000.0} is: \n",
      "[[6.41922241e+10 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.28480608e+14 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.41922241e+10 ... 6.41922241e+10\n",
      "  6.41922241e+10 6.41922241e+10]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 6.41922241e+10 ... 9.37328139e+35\n",
      "  7.02676137e+32 4.63309425e+21]\n",
      " [2.00000000e+01 2.00000000e+01 6.41922241e+10 ... 7.02676137e+32\n",
      "  9.37328460e+35 6.17559179e+24]\n",
      " [2.00000000e+01 2.00000000e+01 6.41922241e+10 ... 4.63309425e+21\n",
      "  6.17559179e+24 1.54524551e+26]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.26343107223511 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 10000.0} is: \n",
      "[[6.40192022e+13 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.28048006e+18 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.40192022e+13 ... 6.40192022e+13\n",
      "  6.40192022e+13 6.40192022e+13]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 6.40192022e+13 ... 9.33539995e+45\n",
      "  7.00123103e+41 4.61050310e+27]\n",
      " [2.00000000e+01 2.00000000e+01 6.40192022e+13 ... 7.00123103e+41\n",
      "  9.33539998e+45 6.14714984e+31]\n",
      " [2.00000000e+01 2.00000000e+01 6.40192022e+13 ... 4.61050310e+27\n",
      "  6.14714984e+31 1.53692259e+33]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.19285559654236 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 100000.0} is: \n",
      "[[6.40019200e+16 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.28004800e+22 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.40019200e+16 ... 6.40019200e+16\n",
      "  6.40019200e+16 6.40019200e+16]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 6.40019200e+16 ... 9.33161991e+55\n",
      "  6.99868305e+50 4.60825025e+33]\n",
      " [2.00000000e+01 2.00000000e+01 6.40019200e+16 ... 6.99868305e+50\n",
      "  9.33161991e+55 6.14431489e+38]\n",
      " [2.00000000e+01 2.00000000e+01 6.40019200e+16 ... 4.60825025e+33\n",
      "  6.14431489e+38 1.53609224e+40]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACjhJREFUeJzt3M+P3HUdx/HnS4o1Gow0aIOASkwvcHBDNuiBmBoSfl0KF4IXG0NSD/AHwAmPXoyJiZLUpKEeBHsh9NAIpBdOIDVpsBiJjRZpLa2KQaOx2vr2sN+GSe26b3Z25rs/no9kMzOf/c7u+9Ntn5nv7ExTVUjSSj4y9gCSNgZjIanFWEhqMRaSWoyFpBZjIall9FgkuS/JW0lOJnli7HlmJcmpJL9McjzJsWFtR5KXk/xmuLx+7DmnkeRAkvNJTkysXXWPWfL94ef+RpI7xpt89ZbZ87eTnBl+1seTPDDxuSeHPb+V5N5xpl6dUWOR5BrgB8D9wG3A15PcNuZMM/a1qlqoqsXh9hPA0araBRwdbm9kzwD3XbG23B7vB3YNH/uAp+c041p7hv/dM8D3hp/1QlUdARj+bj8C3D7c54fDv4ENYexHFncCJ6vqt1X1L+A5YM/IM83THuDgcP0g8OCIs0ytql4B3rtiebk97gF+XEteBT6V5Mb5TLp2ltnzcvYAz1XVhar6HXCSpX8DG8LYsbgJeGfi9ulhbTMq4KUkv0iyb1jbWVVnh+vvAjvHGW2mltvjZv/ZPz6cXh2YOL3c0HseOxZbyV1VdQdLD78fS/LVyU/W0uvuN/Vr77fCHgdPA18EFoCzwHfHHWdtjB2LM8AtE7dvHtY2nao6M1yeB55n6eHnucsPvYfL8+NNODPL7XHT/uyr6lxVXaqq/wA/4oNTjQ2957Fj8TqwK8mtST7K0pM/h0eeac0l+USS6y5fB+4BTrC0173DYXuBF8aZcKaW2+Nh4BvDb0W+Arw/cbqyoV3x3MtDLP2sYWnPjyTZnuRWlp7c/fm851utbWN+86q6mORx4EXgGuBAVb055kwzshN4Pgks/Zn/pKp+luR14FCSR4G3gYdHnHFqSZ4FdgM3JDkNPAV8h6vv8QjwAEtP8v0D+ObcB14Dy+x5d5IFlk65TgHfAqiqN5McAn4FXAQeq6pLY8y9GvEt6pI6xj4NkbRBGAtJLcZCUouxkNRiLCS1zCwWH/bdpBMvgd4y3PPWsFn2PJNYrPLdpJviD/RDcs9bw6bY86weWWz1d5NKm86sXsF5tXfXfXm5gz+a7fUxPs4ns2NLvULMPW8N63nP/+Tv/KsupHPsaC/3Hs7j9sHSH+ZdH/xnQpLm5LU62j52VqchK767rqr2V9ViVS1ey/YZjSFprcwqFlvi3aTSVjKT05At9G5SacuY2XMWw39SemRWX1/SfPkKTkktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLVsm+bOSU4BfwMuARerajHJDuCnwBeAU8DDVfWX6caUNLa1eGTxtapaqKrF4fYTwNGq2gUcHW5L2uBmcRqyBzg4XD8IPDiD7yFpzqaNRQEvJflFkn3D2s6qOjtcfxfYOeX3kLQOTPWcBXBXVZ1J8hng5SS/nvxkVVWSutodh7jsA/gYH59yDEmzNtUji6o6M1yeB54H7gTOJbkRYLg8v8x991fVYlUtXsv2acaQNAerjkWSTyS57vJ14B7gBHAY2Dscthd4YdohJY1vmtOQncDzSS5/nZ9U1c+SvA4cSvIo8Dbw8PRjShrbqmNRVb8FvnSV9T8Dd08zlKT1x1dwSmoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqWXFWCQ5kOR8khMTazuSvJzkN8Pl9cN6knw/yckkbyS5Y5bDS5qfziOLZ4D7rlh7AjhaVbuAo8NtgPuBXcPHPuDptRlT0thWjEVVvQK8d8XyHuDgcP0g8ODE+o9ryavAp5LcuFbDShrPap+z2FlVZ4fr7wI7h+s3Ae9MHHd6WJO0wU39BGdVFVAf9n5J9iU5luTYv7kw7RiSZmy1sTh3+fRiuDw/rJ8Bbpk47uZh7X9U1f6qWqyqxWvZvsoxJM3LamNxGNg7XN8LvDCx/o3htyJfAd6fOF2RtIFtW+mAJM8Cu4EbkpwGngK+AxxK8ijwNvDwcPgR4AHgJPAP4JszmFnSCFaMRVV9fZlP3X2VYwt4bNqhJK0/voJTUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLSvGIsmBJOeTnJhY+3aSM0mODx8PTHzuySQnk7yV5N5ZDS5pvjqPLJ4B7rvK+veqamH4OAKQ5DbgEeD24T4/THLNWg0raTwrxqKqXgHea369PcBzVXWhqn4HnATunGI+SevENM9ZPJ7kjeE05fph7SbgnYljTg9rkja41cbiaeCLwAJwFvjuh/0CSfYlOZbk2L+5sMoxJM3LqmJRVeeq6lJV/Qf4ER+capwBbpk49OZh7WpfY39VLVbV4rVsX80YkuZoVbFIcuPEzYeAy78pOQw8kmR7kluBXcDPpxtR0nqwbaUDkjwL7AZuSHIaeArYnWQBKOAU8C2AqnozySHgV8BF4LGqujSb0SXNU6pq7Bn4ZHbUl3P32GNIW85rdZS/1nvpHOsrOCW1GAtJLcZCUouxkNaBF/9wnBf/cHzsMf4vYyGpZcVfnUqavXs/uzD2CCvykYWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFtIGtu0Ln5vb9zIW0gZ28dTv5/a9jIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGpJVY09A0n+CPwd+NPYs8zZDbjnrWA97/nzVfXpzoHrIhYASY5V1eLYc8yTe94aNsuePQ2R1GIsJLWsp1jsH3uAEbjnrWFT7HndPGchaX1bT48sJK1jxkJSi7GQ1GIsJLUYC0kt/wUTFWjNk6oV2wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24637da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.172040700912476 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1000000.0} is: \n",
      "[[6.40001920e+19 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.28000480e+26 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.40001920e+19 ... 6.40001920e+19\n",
      "  6.40001920e+19 6.40001920e+19]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 6.40001920e+19 ... 9.33124199e+65\n",
      "  6.99842830e+59 4.60802502e+39]\n",
      " [2.00000000e+01 2.00000000e+01 6.40001920e+19 ... 6.99842830e+59\n",
      "  9.33124199e+65 6.14403149e+45]\n",
      " [2.00000000e+01 2.00000000e+01 6.40001920e+19 ... 4.60802502e+39\n",
      "  6.14403149e+45 1.53600922e+47]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACjhJREFUeJzt3M+P3HUdx/HnS4o1Gow0aIOASkwvcHBDNuiBmBoSfl0KF4IXG0NSD/AHwAmPXoyJiZLUpKEeBHsh9NAIpBdOIDVpsBiJjRZpLa2KQaOx2vr2sN+GSe26b3Z25rs/no9kMzOf/c7u+9Ntn5nv7ExTVUjSSj4y9gCSNgZjIanFWEhqMRaSWoyFpBZjIall9FgkuS/JW0lOJnli7HlmJcmpJL9McjzJsWFtR5KXk/xmuLx+7DmnkeRAkvNJTkysXXWPWfL94ef+RpI7xpt89ZbZ87eTnBl+1seTPDDxuSeHPb+V5N5xpl6dUWOR5BrgB8D9wG3A15PcNuZMM/a1qlqoqsXh9hPA0araBRwdbm9kzwD3XbG23B7vB3YNH/uAp+c041p7hv/dM8D3hp/1QlUdARj+bj8C3D7c54fDv4ENYexHFncCJ6vqt1X1L+A5YM/IM83THuDgcP0g8OCIs0ytql4B3rtiebk97gF+XEteBT6V5Mb5TLp2ltnzcvYAz1XVhar6HXCSpX8DG8LYsbgJeGfi9ulhbTMq4KUkv0iyb1jbWVVnh+vvAjvHGW2mltvjZv/ZPz6cXh2YOL3c0HseOxZbyV1VdQdLD78fS/LVyU/W0uvuN/Vr77fCHgdPA18EFoCzwHfHHWdtjB2LM8AtE7dvHtY2nao6M1yeB55n6eHnucsPvYfL8+NNODPL7XHT/uyr6lxVXaqq/wA/4oNTjQ2957Fj8TqwK8mtST7K0pM/h0eeac0l+USS6y5fB+4BTrC0173DYXuBF8aZcKaW2+Nh4BvDb0W+Arw/cbqyoV3x3MtDLP2sYWnPjyTZnuRWlp7c/fm851utbWN+86q6mORx4EXgGuBAVb055kwzshN4Pgks/Zn/pKp+luR14FCSR4G3gYdHnHFqSZ4FdgM3JDkNPAV8h6vv8QjwAEtP8v0D+ObcB14Dy+x5d5IFlk65TgHfAqiqN5McAn4FXAQeq6pLY8y9GvEt6pI6xj4NkbRBGAtJLcZCUouxkNRiLCS1zCwWH/bdpBMvgd4y3PPWsFn2PJNYrPLdpJviD/RDcs9bw6bY86weWWz1d5NKm86sXsF5tXfXfXm5gz+a7fUxPs4ns2NLvULMPW8N63nP/+Tv/KsupHPsaC/3Hs7j9sHSH+ZdH/xnQpLm5LU62j52VqchK767rqr2V9ViVS1ey/YZjSFprcwqFlvi3aTSVjKT05At9G5SacuY2XMWw39SemRWX1/SfPkKTkktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLVsm+bOSU4BfwMuARerajHJDuCnwBeAU8DDVfWX6caUNLa1eGTxtapaqKrF4fYTwNGq2gUcHW5L2uBmcRqyBzg4XD8IPDiD7yFpzqaNRQEvJflFkn3D2s6qOjtcfxfYOeX3kLQOTPWcBXBXVZ1J8hng5SS/nvxkVVWSutodh7jsA/gYH59yDEmzNtUji6o6M1yeB54H7gTOJbkRYLg8v8x991fVYlUtXsv2acaQNAerjkWSTyS57vJ14B7gBHAY2Dscthd4YdohJY1vmtOQncDzSS5/nZ9U1c+SvA4cSvIo8Dbw8PRjShrbqmNRVb8FvnSV9T8Dd08zlKT1x1dwSmoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqWXFWCQ5kOR8khMTazuSvJzkN8Pl9cN6knw/yckkbyS5Y5bDS5qfziOLZ4D7rlh7AjhaVbuAo8NtgPuBXcPHPuDptRlT0thWjEVVvQK8d8XyHuDgcP0g8ODE+o9ryavAp5LcuFbDShrPap+z2FlVZ4fr7wI7h+s3Ae9MHHd6WJO0wU39BGdVFVAf9n5J9iU5luTYv7kw7RiSZmy1sTh3+fRiuDw/rJ8Bbpk47uZh7X9U1f6qWqyqxWvZvsoxJM3LamNxGNg7XN8LvDCx/o3htyJfAd6fOF2RtIFtW+mAJM8Cu4EbkpwGngK+AxxK8ijwNvDwcPgR4AHgJPAP4JszmFnSCFaMRVV9fZlP3X2VYwt4bNqhJK0/voJTUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLSvGIsmBJOeTnJhY+3aSM0mODx8PTHzuySQnk7yV5N5ZDS5pvjqPLJ4B7rvK+veqamH4OAKQ5DbgEeD24T4/THLNWg0raTwrxqKqXgHea369PcBzVXWhqn4HnATunGI+SevENM9ZPJ7kjeE05fph7SbgnYljTg9rkja41cbiaeCLwAJwFvjuh/0CSfYlOZbk2L+5sMoxJM3LqmJRVeeq6lJV/Qf4ER+capwBbpk49OZh7WpfY39VLVbV4rVsX80YkuZoVbFIcuPEzYeAy78pOQw8kmR7kluBXcDPpxtR0nqwbaUDkjwL7AZuSHIaeArYnWQBKOAU8C2AqnozySHgV8BF4LGqujSb0SXNU6pq7Bn4ZHbUl3P32GNIW85rdZS/1nvpHOsrOCW1GAtJLcZCUouxkNaBF/9wnBf/cHzsMf4vYyGpZcVfnUqavXs/uzD2CCvykYWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFtIGtu0Ln5vb9zIW0gZ28dTv5/a9jIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGpJVY09A0n+CPwd+NPYs8zZDbjnrWA97/nzVfXpzoHrIhYASY5V1eLYc8yTe94aNsuePQ2R1GIsJLWsp1jsH3uAEbjnrWFT7HndPGchaX1bT48sJK1jxkJSi7GQ1GIsJLUYC0kt/wUTFWjNk6oV2wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.8695502281189 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 10000000.0} is: \n",
      "[[6.40000192e+22 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.28000048e+30 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.40000192e+22 ... 6.40000192e+22\n",
      "  6.40000192e+22 6.40000192e+22]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 6.40000192e+22 ... 9.33120420e+75\n",
      "  6.99840283e+68 4.60800250e+45]\n",
      " [2.00000000e+01 2.00000000e+01 6.40000192e+22 ... 6.99840283e+68\n",
      "  9.33120420e+75 6.14400315e+52]\n",
      " [2.00000000e+01 2.00000000e+01 6.40000192e+22 ... 4.60800250e+45\n",
      "  6.14400315e+52 1.53600092e+54]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.321784019470215 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 100000000.0} is: \n",
      "[[6.40000019e+25 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.28000005e+34 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.40000019e+25 ... 6.40000019e+25\n",
      "  6.40000019e+25 6.40000019e+25]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 6.40000019e+25 ... 9.33120042e+85\n",
      "  6.99840028e+77 4.60800025e+51]\n",
      " [2.00000000e+01 2.00000000e+01 6.40000019e+25 ... 6.99840028e+77\n",
      "  9.33120042e+85 6.14400031e+59]\n",
      " [2.00000000e+01 2.00000000e+01 6.40000019e+25 ... 4.60800025e+51\n",
      "  6.14400031e+59 1.53600009e+61]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.805800676345825 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 1000000000.0} is: \n",
      "[[6.40000002e+28 4.20000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.20000000e+01 1.28000000e+38 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 6.40000002e+28 ... 6.40000002e+28\n",
      "  6.40000002e+28 6.40000002e+28]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 6.40000002e+28 ... 9.33120004e+95\n",
      "  6.99840003e+86 4.60800003e+57]\n",
      " [2.00000000e+01 2.00000000e+01 6.40000002e+28 ... 6.99840003e+86\n",
      "  9.33120004e+95 6.14400003e+66]\n",
      " [2.00000000e+01 2.00000000e+01 6.40000002e+28 ... 4.60800003e+57\n",
      "  6.14400003e+66 1.53600001e+68]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 52.11367106437683 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 4.0, 'lmda': 10000000000.0} is: \n",
      "[[6.4000e+031 4.2000e+001 4.0000e+000 ... 2.0000e+001 2.0000e+001\n",
      "  2.0000e+001]\n",
      " [4.2000e+001 1.2800e+042 4.0000e+000 ... 2.0000e+001 2.0000e+001\n",
      "  2.0000e+001]\n",
      " [4.0000e+000 4.0000e+000 6.4000e+031 ... 6.4000e+031 6.4000e+031\n",
      "  6.4000e+031]\n",
      " ...\n",
      " [2.0000e+001 2.0000e+001 6.4000e+031 ... 9.3312e+105 6.9984e+095\n",
      "  4.6080e+063]\n",
      " [2.0000e+001 2.0000e+001 6.4000e+031 ... 6.9984e+095 9.3312e+105\n",
      "  6.1440e+073]\n",
      " [2.0000e+001 2.0000e+001 6.4000e+031 ... 4.6080e+063 6.1440e+073\n",
      "  1.5360e+075]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACjhJREFUeJzt3M+P3HUdx/HnS4o1Gow0aIOASkwvcHBDNuiBmBoSfl0KF4IXG0NSD/AHwAmPXoyJiZLUpKEeBHsh9NAIpBdOIDVpsBiJjRZpLa2KQaOx2vr2sN+GSe26b3Z25rs/no9kMzOf/c7u+9Ntn5nv7ExTVUjSSj4y9gCSNgZjIanFWEhqMRaSWoyFpBZjIall9FgkuS/JW0lOJnli7HlmJcmpJL9McjzJsWFtR5KXk/xmuLx+7DmnkeRAkvNJTkysXXWPWfL94ef+RpI7xpt89ZbZ87eTnBl+1seTPDDxuSeHPb+V5N5xpl6dUWOR5BrgB8D9wG3A15PcNuZMM/a1qlqoqsXh9hPA0araBRwdbm9kzwD3XbG23B7vB3YNH/uAp+c041p7hv/dM8D3hp/1QlUdARj+bj8C3D7c54fDv4ENYexHFncCJ6vqt1X1L+A5YM/IM83THuDgcP0g8OCIs0ytql4B3rtiebk97gF+XEteBT6V5Mb5TLp2ltnzcvYAz1XVhar6HXCSpX8DG8LYsbgJeGfi9ulhbTMq4KUkv0iyb1jbWVVnh+vvAjvHGW2mltvjZv/ZPz6cXh2YOL3c0HseOxZbyV1VdQdLD78fS/LVyU/W0uvuN/Vr77fCHgdPA18EFoCzwHfHHWdtjB2LM8AtE7dvHtY2nao6M1yeB55n6eHnucsPvYfL8+NNODPL7XHT/uyr6lxVXaqq/wA/4oNTjQ2957Fj8TqwK8mtST7K0pM/h0eeac0l+USS6y5fB+4BTrC0173DYXuBF8aZcKaW2+Nh4BvDb0W+Arw/cbqyoV3x3MtDLP2sYWnPjyTZnuRWlp7c/fm851utbWN+86q6mORx4EXgGuBAVb055kwzshN4Pgks/Zn/pKp+luR14FCSR4G3gYdHnHFqSZ4FdgM3JDkNPAV8h6vv8QjwAEtP8v0D+ObcB14Dy+x5d5IFlk65TgHfAqiqN5McAn4FXAQeq6pLY8y9GvEt6pI6xj4NkbRBGAtJLcZCUouxkNRiLCS1zCwWH/bdpBMvgd4y3PPWsFn2PJNYrPLdpJviD/RDcs9bw6bY86weWWz1d5NKm86sXsF5tXfXfXm5gz+a7fUxPs4ns2NLvULMPW8N63nP/+Tv/KsupHPsaC/3Hs7j9sHSH+ZdH/xnQpLm5LU62j52VqchK767rqr2V9ViVS1ey/YZjSFprcwqFlvi3aTSVjKT05At9G5SacuY2XMWw39SemRWX1/SfPkKTkktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLVsm+bOSU4BfwMuARerajHJDuCnwBeAU8DDVfWX6caUNLa1eGTxtapaqKrF4fYTwNGq2gUcHW5L2uBmcRqyBzg4XD8IPDiD7yFpzqaNRQEvJflFkn3D2s6qOjtcfxfYOeX3kLQOTPWcBXBXVZ1J8hng5SS/nvxkVVWSutodh7jsA/gYH59yDEmzNtUji6o6M1yeB54H7gTOJbkRYLg8v8x991fVYlUtXsv2acaQNAerjkWSTyS57vJ14B7gBHAY2Dscthd4YdohJY1vmtOQncDzSS5/nZ9U1c+SvA4cSvIo8Dbw8PRjShrbqmNRVb8FvnSV9T8Dd08zlKT1x1dwSmoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqWXFWCQ5kOR8khMTazuSvJzkN8Pl9cN6knw/yckkbyS5Y5bDS5qfziOLZ4D7rlh7AjhaVbuAo8NtgPuBXcPHPuDptRlT0thWjEVVvQK8d8XyHuDgcP0g8ODE+o9ryavAp5LcuFbDShrPap+z2FlVZ4fr7wI7h+s3Ae9MHHd6WJO0wU39BGdVFVAf9n5J9iU5luTYv7kw7RiSZmy1sTh3+fRiuDw/rJ8Bbpk47uZh7X9U1f6qWqyqxWvZvsoxJM3LamNxGNg7XN8LvDCx/o3htyJfAd6fOF2RtIFtW+mAJM8Cu4EbkpwGngK+AxxK8ijwNvDwcPgR4AHgJPAP4JszmFnSCFaMRVV9fZlP3X2VYwt4bNqhJK0/voJTUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLSvGIsmBJOeTnJhY+3aSM0mODx8PTHzuySQnk7yV5N5ZDS5pvjqPLJ4B7rvK+veqamH4OAKQ5DbgEeD24T4/THLNWg0raTwrxqKqXgHea369PcBzVXWhqn4HnATunGI+SevENM9ZPJ7kjeE05fph7SbgnYljTg9rkja41cbiaeCLwAJwFvjuh/0CSfYlOZbk2L+5sMoxJM3LqmJRVeeq6lJV/Qf4ER+capwBbpk49OZh7WpfY39VLVbV4rVsX80YkuZoVbFIcuPEzYeAy78pOQw8kmR7kluBXcDPpxtR0nqwbaUDkjwL7AZuSHIaeArYnWQBKOAU8C2AqnozySHgV8BF4LGqujSb0SXNU6pq7Bn4ZHbUl3P32GNIW85rdZS/1nvpHOsrOCW1GAtJLcZCUouxkNaBF/9wnBf/cHzsMf4vYyGpZcVfnUqavXs/uzD2CCvykYWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFtIGtu0Ln5vb9zIW0gZ28dTv5/a9jIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGpJVY09A0n+CPwd+NPYs8zZDbjnrWA97/nzVfXpzoHrIhYASY5V1eLYc8yTe94aNsuePQ2R1GIsJLWsp1jsH3uAEbjnrWFT7HndPGchaX1bT48sJK1jxkJSi7GQ1GIsJLUYC0kt/wUTFWjNk6oV2wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 45.042237520217896 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1e-10} is: \n",
      "[[3.200e-29 1.600e-29 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.600e-29 3.200e-29 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 3.200e-29 ... 3.200e-29 3.200e-29 3.200e-29]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 3.200e-29 ... 3.232e-27 3.128e-27 3.200e-27]\n",
      " [0.000e+00 0.000e+00 3.200e-29 ... 3.128e-27 3.030e-27 3.092e-27]\n",
      " [0.000e+00 0.000e+00 3.200e-29 ... 3.200e-27 3.092e-27 3.184e-27]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.124547243118286 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1e-09} is: \n",
      "[[3.200e-26 1.600e-26 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.600e-26 3.200e-26 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 3.200e-26 ... 3.200e-26 3.200e-26 3.200e-26]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 3.200e-26 ... 3.232e-24 3.128e-24 3.200e-24]\n",
      " [0.000e+00 0.000e+00 3.200e-26 ... 3.128e-24 3.030e-24 3.092e-24]\n",
      " [0.000e+00 0.000e+00 3.200e-26 ... 3.200e-24 3.092e-24 3.184e-24]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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94ief7SWS+SbAbXeieZlnzYc0IyKky/W+03oWCn6VHB2cRznKUa4ld0OzwD5MmGOS1fJAEhLHOF0d1fbLajdfZ7Us9qCbZAByMS96Oa5hwpuKSVE+CJyxkGZ2IBJnF4xtPzGtBgN1vkXZy8BkY37oh8QA1BSM5phoQKRYhpTt7GGY7KpvDExSBynZK8xg8XOzNeM/CNlUOpDd+dao22QSutigUPmAZmGPld+kusPHavJyNicOgan0XNa0AKvhWc2ovC9vOupV7sZiwfl/xs5UPgpF7U1AWjEKjgI26oFiegAowC1rZ1LbVny/picP+l0zUdvi02dTkFe+lzs5ER+HLgTjCGqb6sAr2ax+37lqfArc99N8kMUChNoHt1oi9UMBhik4Le06uOUC/uH9+rIVJ60BfQEVXxBjdbapOaPwZbVpkziDabWsWBDrF7K5EouFLF56HBAwaYzg9bo8GytusQD3xvcDwH/w2PhQss2ukS577xjF32EjVvNIEwBatAWnMLl3IyYtLTzS8xf1/NVSHJx5Q/IfPJZx0vdDF3MFf+nCB0h0IoO8+OykmgzqxG7GYlJMgGImEsSOJEIRUznO680e3J0B+G9+JNcezTvlHXi5qP4SYOLE1XNKu77xIdyur34TAPj2Vx6UVQdsEvWYnJNBRrPJKv9Q1UL0pewxs+15z4HIMcoqPwwTjz/HVIAwum8U0NQskawgCGMCu/xQLR+CgqP6ofhCJglanKTtc5Sidn+2S5boQsyayTCIj0bbnkFV1ASAHXizPcjvYKMUpG3DNDKhvBGHnNIJmESVALGBJ4lZjsADpr4Bs2iwhgiv4mzouoNtl71INqOJ1jk7xrtdXYjaZrpoZkdtdXBmv0gIwLMXExi4AK0iSH0sdjwm5EZUo1qqde26gxBslyNBcL6Gpi93wDpM+zRPgDPoYTo7rUA06PO6fs7Nl3KxsBGOCZ7CslopQk5xGCozxiTMNYuiMQwHNQt4P8n840E0C52EqrG4xeKVmgVmmkVh1lJPd46wUN4pCux914HatuI4gLrIWRwHUBxoZDAdjDoxxRlYzydi4GQFukKzUPMCTQtSs8j+PsaKEpxJGQ8dRwB0spqQ/ZSFZx5GZxYn4Emo97xCs5ijGZH7qykB0EmHqlnoMVqtZPKnlBcL1dwqrJz0+tkxDmbw+SncTLOg8c00C7y4qONs+3B+JtdQKHju7000C4GGNxXyzww8+7JFQ1RekXU6wV0YG+1KzeJAhumhzMqbahbo+zrhgIrH4JyxqHF8nYy3pVkAr8ZxaLtnIVIwi18movhptA0CEBrfmWYxnxQWyzH9ccJ80b0NzSJdrjP8m2XSzc28uYbgSCbmNty+ZvH8xb4fgtONNAu32YoZZTeUeH1/zTEacpSjHOVacqc0i1elqCvuwj1+NE0J1lV4thpT21aTIq+8/oNH2Xk6ID59NjmfI/Kqba4zX+EVyGN2dIWAcyc7gmI9xk8+y7+xmkXVEDhx9TMcyNQsWoUqN7F+X5CTExMi9/VQ8henuqv3/dR5p2bThx+Adx3Ss33sg5xg8A9We7gm+c0EiauBqIUpAaEOWpv5qWPjHWi5FBwEcBgDAUxRrXtf5oiZ3XVnx5x3cm2PqaOYdOePtR/5GdDjh0jf+2Sa3Dj3bxh5U/IbnGQz6P49sDq7v/N7Nya/Kf1+A7lTi8UXKnYyGMDUxNP+ptedq/X2mleFub5omZkg5a7OTV+W2QvL1vQAKslLSnglh8YtyJTBi2tINI3757wLUiEbClazVI+zmpXGrI1xgpa8VTFtoQMpENe6xKgmD8q1bhJRvVuLhY07z+RVuItDUnZYC7XN8f63j6vPeBTm93gXYhcsK3YRySFezdlQsVpIuVw/vN0i+iYya6u2qfgNrLyDRXiilXlnqAVi+b6I8lYcot2/DdHxGIap1nMDIe/AQwLSm3kf7tRiMYlmNG1VSYHi1IsvXwpxjca72xap66a1RDJ0m/t+kithTY/w0dfkuoo7OFlNkmz44lLwBONocBqCp6Cz0wn5CZ2dFo96eiG4kPD7flAiGwachRDASzGPaLOrsOhdB753JhPiibSRzs8EoNU00g/FSazXAqk24d8C5AkBOFnV8Vxv5OUfx5KxqbkRGt0ozNbPngMA3Ld+pEZkTL4Bgi+RC142cLtB2mvZroYRtOv3TUPFIqjzV3MmiEBbxafkFzh42a1VrV80oG4Av3gJ9+M/Kr8PEoWgyOUzAMSzBfxmEAdu2T0BOIC6CHiCv1CiG0a6dwJuPMKTCznUBOmPbgbzqEIbQNs85hqd+vwZdj/7b6J9uqtj5QiuGzGey7vn+gQmsWbiQrNOqXznhoTxVK63+L1LOH1nVGshQjpZIC0DwpPLMmbxj/4EuocNFs+G7EEG4sLB72pCHDcyEMkTXGS4XURa+vJ8+R9fvxrg0cF5lKMc5VpypzSLuXDiw3U9JmnYsaYhF2o8V2qJYDjMVl14I3JmZElSsiAVTlOTSE2YzKoMiDZE291eqJY32wz5NeZCSsVHwP1QYdFjFE2DDb2u7mpqOpnwGA+D2PC6U9sUbNv+rhNGKkMNqEjT4hhTzUC1E6V1y+2Fc5nXwuAZhjGn06faTgX42GxaEyamXV/vYVTqYrYV9X+GfO2Fwo/7Hu5yU9puUYx6PRqiaCG+4l3AwhdRnoMJh9J6V3AsAEDbXUVwZo2siPfCw6HvjWp62x0Wn23gLgytXvBAP6DZ5euaVH2v703jy3EaIlwnWohmkLKj6g9xDv5ZDxc86HJTxqz5fAMalvCXNUUgOAfqx6pZBJN1OkTRGlWzY5Zj15Q7vVhMKoVNvqD6MjgFI5kX5CZ2pHrhbRq5Sia/KY63G+SIEBGYHIBqSk3SzL2bfnaUVWbDkanp17M2kSIwb0ssyY0dFwuactmvYElmACBSBRjp5exv7LVu6t5RX4sjFF4dopq+koFOcK62ISXJUUliItSRjLVNhQv1hu1RmY0T+wwws6aQYkP0mAM0T2SCL3EOrO+MTTs/8E6zpuKb33NOZ2dPILsOHPJv3VDu9GIxkQJEmaI1yWfEXJjyOxQEpOWasPQE2bbnnfAu0molE1Mx+tvKT8BjhSS7xQJYLSU3APLM6fSkvhf6gM9Pp/Y7ADShMiKtt5VJadeDzzJXQ/Yp8LIV23TRgrq+7mR5Z6Dloiad6Q7VNOCTZe3jxVpeumEo/dXrkCJZG22DXCs9OgftlESo7t7s606YVg3cVnwW3NZXiIac4GfBdTrBz1YyHrlvIAJOVwV9WHgXFLFa/COt/C4x0gNhtuYmL6IJgK+TYDxv4dczfgzIBHK7EQgO7sWm9CndP0FqPYJqbWcn9drOTXZd9gReNHCbvrYBgIsRmx9YYbHQHBlC8g5+N2K4J9qC76IsYiw+BWDus2CMp/L7VeQKVtN3kQjx8RnSwqP5vC1jtvvmGXaPApZP6zOIrUPY1nYn9VkEghsZYTtiXOV3IDHS735ZEZyvktfEhm1yWFH/Felp0I9F5ki/lPJ/dfcjoglaE8jhshjLzq51LnkWySmq78wMqRDiaRiuaEOaUJUM+tJKIfSN4HktTKIp8UlKkssSY72vmgb6eRYZcWMyaFJV3dNkEaDRhBSjDX/Owsp2N7PmUWJpAXNpl2ZWso5dybYd5ZwYAb0vkSxczGBTDsH1CTQkwFN5PsQQkp6UwHPNIXI1ifK9CMiLBU8cnJSy9qAmixlj17OMGwBOBAfADQmuVzPDjJ++CiyOWTewnDu4Og7ZKWsXXeryQqzjgbrQ0Mh1/EiOIyu1OhCUCG5IoD7Bu2oO0uz1epXc3cXCESas2EazmGY77qv4Jc1czQv9rR2ZYldnNT94WSjUhtcMzpgAnydJCPK7bArodchVshVWUpQm5IlasyU5+Hr90fhYQpIdmhnOcDSSeuV9MtGC3AbHoDFfV/sUwiSjsLSLuarlOl5qyqimoYtG42tKtE58omr7AtJWImBM4KX6PNRvMBYtgVQPZjELSk2OPAaSlJf9LkazmCzQ6ofxHryo9j6iTLZk2hsXHhQT2Luyc+uC4IiQggMNyosZwY1DXAb48swpaxZUfTXaZ0/gNpSFsmgWzmFcOTRNjXLE1gGRixYBgomG5J2+lYMcGOyAuKR8XMokIDiA8tgEB248uHWT3I+4cBhXhLB15SVILQn2L98v5XFIDcE7AiUuERlKvJdF/yo5RkOOcpSjXEvuhmZBOVvSIAjVBNCq3BbibaHDSqnHXSdUeADQ94KpYBYKvAOAHp4R0/J2V52dyD4Nu5tDVPV4uQZtNuU8jlGiIcXLnv/97CmUj/MQDZxtEQPC6swJyHiICUkL0YQUB9ud9O8AYa91nCZbLOj5NEIxT0rS2q/+Ox9PB0ozHE0/SPsRDWGvtuVkWXdkHfeuF7+LXnIjfqL09Nke98UeYS8REgthr/+d/LqamhjeaJSBSEwvo+mBudQ5cTECD+7JdRPDDyPCZzWik54+q6bfAdj0pG35vrEfcP8fNTVKAsj7Mo5obTEkHQ8Tsat4jgH8KNPqaeTKuQkGJT15Bp+zZ3XMTvoBJzY7Vu+RcUYT8CBR4cpoTJqAW7++bnDp1rXPfNeiNPwHxJYmLFl2RKa4TXptKYBSAcwAv8hewzvwop3CeZ27WSkAvafNNFSn3xyBmcFAqqIjeBRgDleSGsrXsynfE9v2iyDsnWRJujp5bJQjU8uX9qYkJkATwMus6g/6XGZONB3v3e5mpQDOT6WtJZMyt0nfE+/El9OEajal7LzN/U3n4kim/M6kxpewJ1k+ixsQ9sYP79fQqcvmyravDuziW6oO9NQGMYW8h+sGDI+kXX4rACtuXDGPODg4dXIbwl5+cI7x/hJuO05MRxpTjoYw2Nexcm3zFSDsPUSrlwlsD9LqTZKSUl0UFJ14HVo9feicit+C8/VUaIzC8q0Pwl1/YNnS+s85G3QHtMlf2RladuBFW39nrsUxyeJ0WzLG6U44UuVoMP1A4gluRB22NMaau6A1PPqh4hcAmdRENw//DiYCVnJGjEOXBf3JzKCBSh/sgu8uMlYjca7v4Uok6E3D0dSPFZ2aCZBojFUztc9R67AMEZSS+EDGCJ8xGe4yv2/egbr9yM5ExgjXR7jelNjMTlAaZXGkVDWLt5U7sljcUOZRhMRgxKr+Kk8AX103ZAItJwaPOS8gOzMrXb35rWXyfk3dEKhZA0zMEDZENTZzkxMDKU5JeZyr5QsN/RyPt1y+cFKLw2ggxuTQXZaiqY2Rcu1TnSScoyXMk2rjFF25143KF+pmYIo2kasLB+V2CDlRbYNlwCINUadcMlALE2nfbX9n781VdUP8i3UFu2XtlIcBtJ26BIuJhOws19oi4whXIk25LclV2H3wwrVB07oh/uUl/JBrgdhExkNmiPbPgheBY/nCoxzlKF+83FnNgl6lpprCMuQ92I3iaLMUa6/xWRRVPtunahLYojmCCjXs0f765QuxWtbV/lAJQOuzYAaaKWFwsSu1iJIeZwZCuD2fxelJvV6q/hxxQhv8hGI6sg1ewsSu+jYKchOYZpLq98PqZj4LLTLkjB/FwL05J6GVxDegajvaT33ueYflJpQdU5zaN/dZpAdnoHUeXyJ5dv1g/Dl1PEv5wsaLbyH7ftI9cWy7tZghbHd/7+HOTg/6LNLZUswVY8VTLk41rYBGmXbwy+6z4Pw/M3m0vGBh9zZZqLyr9GllMUiM9Pnn5ZLu5KQ4A3XSWOIaVRv14ZfJlx9SvFwfZvc+EyebPgRqgjhLL9eAc3CUEZQ5d2OiZjcBaPJk7rqaubjrQCcyEdKzZ6X9mk3L41gne9eBFgu487NqC+dxIWsqAPJyqANYj6uZoYtFvq4/OZFIjsmynajchq6NFotars++1DFKVMkCv7QtpycV5KQ4i5OT6mgmmrzYk4UzJvhxNc3LyOq2LZ9IaIF+mOAjpI1OokkhlKxeuf9KxvdSImP04H7Gt7AgbdUM0KrvQPUjBA8OHu70BDym6hfJIDZk5yUgk5dnfgcak0zgfgCNEe5lNrGevhBzdNYF/uCRPLdla8CHCRjTtNZp28j4z60L7zB8dB/h5Q6pNTiX713fuLgbi8UNRZhVDy3wAAAgAElEQVSo0+QzNaGE/wCUkBSFYEreZ4RhSuL1B6oDdbWUHU0f8GZToy72XjCTENnhWIBSVHYROjmR1HJLNGNSyNkZLYCoePqRF0dtD62Wkri2kkWIx1E+r5b74VWTAi992MlESUkcpoCkq1snqxZk3oo9y48fmuvWKIPu2gDAqwVoq556M1l1whxwMOt4AKjlEM5PKgTcpKjbYtRogkzQcZQ0/nysJLKZUHE8X8KvTQgzCwcnqeVNmBD68j2pnqYExXy6EvBTSrLzm82LvQC2JnBvItDFFt3Xz9Ao5NpLfoqkqMtC6PpY+sdt/tfJeX47gsaE1Mo4tlq8eCbjfWmbv+wKDH18sEL/sEVr4N5p6eF2U5i6tNchLjzYE6KmqDOQwldhsbCIzb3vLCozf7bHkM2YnGQ2oTLTxBtT30NuJ4jGgsy0yWX2XkoBb5OigqW4q7h+GmcJXwZhSTbZyft6XCe6tjGbPpPwbj5/spvle074JQpdPU/vm/8jkwtTxq8JBUZeojXeFWQlkCeKVvg29+PcF/gDIe88HqWdep1RxyBHSEKuyRL13h4IEgovmlhGWZJzNTQIQT+6fl+tLip/4+Gsw68J8l2o102tB0VFctp+SZhVJ6qiWDl4xIVDUHRpXgSIgbQwbcntjJPzAEoe5Kicy8EfLCqUWmmb63zRutLCY1w6NK1ZMBd+AmHXxSA1DnFJcIOvi4VlzbqGHB2cRznKUa4ld1ezOEStl/ktCk0+UMOW/fQ3PArnAg9jLXtneBA4M1sVnwUw8VmUa+rnfC9qQikoBED8EptdVbH19y8vDvssst3NXVd8KWyrYKtKvN6IzyLGHKKM9fvLtYQJrYOTCBh8NSEg46QlEIuqvetq2xNPQ8ScQE+e1zZc4bNw2+v5LCaitPlA6bcbY8W7KJbDOn2RtZuUpC9PhM2LrvBZtJe7wxgb7wRFGoKgGLNQdvyqz8J5B5ffEW6bihfJ4+uB2gflzIgRJ7/9slYkUyd2jHAvc4ax8Vk0Jg+lYiJidYY+ewk+wIXaNEHuaUyUdjcgPF8W7AgANG0zHQNfNbd4toC/7NC29Zlrstt15O4uFnMzxBEoZ73Y6INNRZ+wHLdNBTBZZ+jMZ0HZZ0GnJ3Jc4+DbXY2Y2HstFvKyqiq92Ym/IcXq3AJA987FqWa5L00KOV2saxGaEID75/n4RWmPA8Q3sd1JdAWQCXJ2Ctw/n/oWsl+BFzUaQttO1NphFF8GAHqpZkhuq/ZxuxNb/fGDsqCVNHE/TWBKJ4vqVJvT6nl/2Geh4wGUfqf7pwZ45CSSoDR5ms3qhbSFNjvwafb35DTyCUIRwHhviXB5wGeRfQ3ceIF86/FH9+VY/jt+cE/MksiIJwFuq+Q1QiLDjopPhNuAFBz8RYftv36OxdPMTK++iC6WFHWXKf2AfTMkbCNoSMUMWfBhQt7+o3tIrUO46Es+5HjWYPeowerz+szHVUDY1t9bM6S/57F4vsC4yu94BNJvfVl9FnYnmyM6hxGkrE+JX69Z7DrRAIahZjtaINMbaha4XBdfAgDRKFKsTFaDCQXepmZxiHjYO1nICmCoB5yXnWpzReg0t5c3WyAluAz8kcdxy5pFP1ReEsvIZYsK5fty1xek5W1pFl59UpwZrQyrlvpUCogpeDjvQJcbnDDfvmbxvexn6vryDrvV4kaaxWLRSK3TRsPK+IpoFjO5kjXrVZJZkwqV3QHH0c2v6fbht+qUfBMI81u1xZgTh8ZHsRHJOCv1eGbxsiUDr6wIdltCM+ezMk5Z1mz9/k2e/xu2SaIfhp3KDovFmswrwL2LthG9uafRz9p6w+vcqcViUmRotroq3sB/+Bjx08+q7yET3Oi/RbwvO5XmktgiQ8rCrZDrlAvkKB8FUqwAK3MvRwq2qqYNVIMB4B5LkaH4+RPMyxeKDyHjO2ICuvzwYjS5H/Jv0kzWmIvO2O87qXc65Qd1ABjMs51Vf6caxG6aZagLhHtwH+h7pJcXry9faGDa1y1fSLyuWl3u9+Rd1QVsVr90wuKen9khKDaAKVvaXBTEZcsMjuPkmGvaCoJTPtHcLylJmKR6PCA7NhH4wT3g488Oly/U6M0ryheW8XpN+UKvIe6zkxqJ+/RzuBD2NQk7BiblwD+8P+GPBXCEex/lKEf54uVOaRbFDkbWMsyKqyt3/ORT+MePauLOcgHe7gRVqPZ4tmVT1wkyM1+jlBRErusBsdWJSDgzre342VO5dkoT4JZU8z6pDs6XF+K8y/fQEnv04z8M2vY1UxMALxqkM3FUuhcb8Co7Hdc7xEcCOPK//Ymc/PiB8HQuhIuTF9kR+fwl8PC+8HBq9WwFSy2akoINAP75pajT3QC+Jw5d9zJXEc8JVHrd9D3hC4l/6FtSEwQoKEP2hNgGuIwxGM5ahLXwhMSF9awLErHgPwxsPD66B5cBWOlE+j22AeGlcnBS6QN1Ayg7ONNJK87Jz59h/MPfkmMLcUJK3ZCq2XQPG7QvRmF/MiYaB4ewHpFah/aTXDGdGf3XThFbh+V3xWcxni/ArQONcl2y9rwjjCuPsNbaJ7LPtr/zFJ/8mR/H2cfZ+RsIKRDCJqF7KO9I2HEhFR6VESsQmIBmy/A9ozuXE+7/yy1cL9m6ZGgEN4+XGFcOq493Zcye/8k/gM1HDqcf13YOK0KzqX+nJr+XjdQNadaM4TSbzREY/45JD3iN3KnFYk84AYZjsYhVs3Kq9BTHX6tTX1n/0qAfmVwh1yVr3ui9rG9gEFr6AjAaRvHyq/NOEZzbXqIV5t7yDucHZdXWYZQJan1N2ZGrtPslBRqQyTjGEl0oICrmCegIu04iQMMA2hiHLCCAMeXoRDV//GUnVPLalwxqoyGW9gVA0rJjjVoQC638xJOfZLFBYlko8ndul02f3VgXPIXPD3FC2OuSlBHgfihkvK6P4hBW34ImXBIhXPal0E9+kAADrh/hOlcRtYkRLgfQwpc2h5f8SsJe1+8T9mLXYfU0oXmRzbzgZLEwpLm+SxmABYSlRieEoZxGhu8TKMr1/G4EDVFyRgy3avu8Q9h6hJe7MmaL5yPYB7Qva2Z12Dr4bSzmlBL2ciC4QQh7w7YS9rrx+l62u7tY7JWvS4e/09TquZ2XcQPl3/k1JklYeh5PCXcOpbbHaxL2xlQXMrXrlbBXbW7DBUHjzOdiyEwmRMJ6ncS3R9hr+RcsH2XhkHDS3phA6jRLqFEMMourQxnXEoq1ZDA3IOydQOf1eem9kReRmISD0tc2kI6vtqk8iwQKxpk68BsR9vouGcJeBrEsNL6TBcANxvdF5nosk9X1Ca7Pi2V+DyiHhgGAPQ4S9vouwXdC+GtyGuCHJCUBuBLypkSyKH1fEPZe9Z1SvVlH23Wub6IAk8zKkszkKluX4U+4sdhM06s+++pVn0Qt9LjmnQAVan6bRYxtGzX6Y9qreAjSzFwAQF5YciYokCe0jbbYRLG3EQdwoprVqsqn5rzk/Aw9Rkl2asmfySePcp1ScwY4uDlcR9iRIYnW2iWESTaYg4yP/oYAAoF9XthUEfKCJ7JlGXFVlIoAdnqtOgZSTwRg24AvIGpzdHAe5ShHuZbcXc0CmIbQLKJzToCru581Tw4lmFmdy/J1ElUOzDlfpNEm9DxBcObfN0EyNzVMplwDi6aqtLojBw9eZNBUjKZ0YBJORjZ7QRPEAemdUKQZlir2TgBYM9YmLNqC1ASyXyRX4VJHJiloTMFbGfGpGk1aNaBeHWBcigwrshEA0jLA7eS+mi1J7AEagd4+s6qR8CKAdlmtVntf/QNABbkpUlTNJUW5NgEpc3uKX0H8S0VbAaS4MHPJ/JSTxRlJfeal1JKC3iEtAuLCI5TyC04SxNRnYfrCQc7Xt0OLK/mmwXDmih+APRWn4nCezZDOydbPQDQ+CzDDDwwXCMNZzjp9FuAoFyVSi9gT4qqRosebSrMwnAX05w6+96VC27gkNB7FDNG2pECIC0LwVAoaUQTS9eks3m6xIKJvA7iAGAUjM/8UET0C8DcB/BCAbwP4s8z87KprXPteGodOKFRkAISchkgyOi2DdNuKnZv/rT/OHxX+rICt1UJsQUs6k0FDlaWbhI/iZFUXla4XCLdCpDOOIp0txZk5Gr/AImC8J9GQZkyIp7liVUyIZ/K5zeTa3AZxui7aSdQCFwDaBmnRFGdmSR1fthjv1yrqIZPTkPclSuLnRDG6uOQ4/nB/Ab/NL5Pa4cEhLXxB+/X3GrQv5WWPy/oK+c4jjKnWAlHTCkA8XZSJFnM0JC09gqrYGZYcl0H4KPO941kLf+nh19sCn45LWbhcZKmLkdfM3WOPRaCinsvzlYnZXEbE1tWKZezQ32+RFoTmhfRhvLeQrM0xgYOD76qpl/IkazMsW2HbqxdLrL/uQClHlbxMzGbpsHskjfC72p4xPx4OGe69YfgO6M9lrJZPArjL716o793uwxbDCcHFVRmzzYce62+SODWyjKeE5sIsTnmtTS2BRkZ76dCfZZxLrNGS68gXYYb8cWb+SWb+qfz3LwH4DWb+MQC/kf9+J0JzROCrT369HVd2RjfVZm7WqP3P8/s62n8SV7XvlpGMe0VnTI1Tpvo9k7YR2GebMUJmly/HXvObq0R9AfO22uvpQkGYLBrlXCf/cenTFzyepi12vDBr69442+OK0lSt7Iom7l0bs7+/4K7dhhny8wB+Nn/+FQD/C4D/+G0vOkHB2ZyIlMNG9phz4L4XxJ3+O7tGqbGZMzNpvRUzZjTRAs4RBxuGy5XJNeGMuw50sS4YEb2Xe7ERM8A6+WJEk3dM2nbwGvLsBoTnu8m5tMksz10vkQQliQGAfoDfdvuh034QbUL7mGud8jDAa7RhIzkM5HLoVM2mbJ4sPt/WkKGaUJT5HTRi0kvyk1T/rjgLGqK0VzUeE1UJL3dF49B9MLzgvVqnblbr1O2k1invOrRPch3YYoZIopSaY75r4DejOAxNlIZightSrkiWIwFjwuJZh7gMUrcVQLsbXxk6bQ/UOqWLNc6/E7H6PB93UpEsrEeEbZPHS94hMlXK4sKV0KUbGO2lXK952Zeqaq7P72JwOPm9lGudbsqYnX/3BL4PWD0di3aVGkLYplw8mqcVybr9Wqe+e3ehUwbwd0nKjP+3zPzLAD5i5u/l7z8G8NFb3mNfvKsVr5We33sgKT4gTbg52SlYy1xDWa/UNm4zB+asxgeRYeFWn0XbVq9630sWpfJdZiizAq4modMmVNMjpWpaxIR40gpOIt+a20bMizx5eEJqI9mlZQOxoKzTWhjZ51KCRFSzXU0iFFnzJvd7PGsLLT1iDn06h9RUrsvxpEHYDEBw1QxhhvMOfqhhT1ZTDuILKX3L94zBlRdwDsqCBWU5B2y2xXyRiSYvu8067R4EtF52YtVmtJRf2Eak1kmB5Pwsx5MGcenQZP9DXDWvB2Vlc6mAsl4ssHvk4PtshgRCCtKfnYKyOlcm77BSn0Ue9o4ROkZ/JseXT4Pc1xGSmt5EGO63GFfie9Ex6x547B4T3OiLO25YEdq1q+USlWq2kcLIzdpNQFkpXF/9eNvF4meY+btE9DUAf4+I/h/7JTNzXkj2hIh+EcAvAsASJ4dOOcpRjnKH5K0WC2b+bv73UyL6NQB/BMAnRPQNZv4eEX0DwKdX/PaXAfwyANyjR6/XhSygam6GALnOhpoLmYU5p3cfcnAWFX6MYobslAw274q1nRMzhLW6lXrvMxFsSdDSBKv1LqMveVJsxmfiHNk9s/kwRvh1J9EGVeHVYdoJCrQgPhWYYwh3yj2HoTgwAVQo+zhWEJHW3sgJRxodSXlMw/NdBT8ZjkvyvvhVmiEK3HqIxTOvf1NXWa0pZZgzs7BWa/VvyG4Z+qGU6NOKa4UuUM2QrpdrbivM2RuTyCI4XZ/gdyNScKUiGSWBoSOJaq99ozGhednBDU1BrIZNV/k93ZRoBt7B50pjMgihjPHpxxGLJ/l9yhR5fjPC9TlioiCpyGi1MPLCQetG+y4iZKey34hzlxsH12VHceOx+GSDZhkQnlyWMVt9egZwg8XzsYxB6wlhF6sZohpbdti6XcTC0Or54R2YIUR0CsAx80X+/CcA/OcAfh3ALwD4y/nfv/WG1y/OKQCVgWochYAm+wioaSRcuViURYSI5e+Uco7JAdatTP5KGykGxGdCfqMhMbrciMnBXM2QpgGdnIDOTyunZWIhotFz8ssYH53B7YaSXwEAqQ0S9XAyKVWt9usO/QenIGYscu5Gun8Ct+4kZLnpSgjRjRHpbCll79aZuOeqaMiTzNW56xHvS26If1GJdm00hDLPQ/fNM3lhgbx4iYMytdUMGU4DwibCxVTsXzAj7CLCM6PWKq9mShgfnZacE+03hxOE53mRfWU0pIcfR2y/Ic8sLggUZewVNg0A20ceyxcRyVMxTwQWDoRtQlw4rD7RMUvYfW2F8cThNN8rLf3royEvtYJ5joYMI57+eMD57+ZFIACxJbSXDbaPpA1hKwELSsBwou9CHqIdw3cBQ46GPEiAz2Felyu+syP09wOGE8LZ0pcxe/GjLS5/kHD6e03Z3cYVob0I1QxRa7gluD6gveRJNGT8zXdjhnwE4Ndy9CEA+OvM/HeI6B8C+FUi+gsAfhvAn33jO1zF06Dflc9TODczv94RPIFTHzqeKnxZtZebIvzS9DcFF5GP698UtXzhrF1jBBpf8iAAyGJ0RcrMFyJzCHCyEGWTB5Jk3Moimeo4Kh5jAqFnnh6XM2/WNh2vlKHMSSagThRi+SyLB5djTHq8wr4p4zRI09EBvOmg2jaU+zMXZjc9DjbvAFefyqQPGZ6un18p+bcHxwD1GOaf31DoCyGEeUu55x7zT7t/dwJhdqen4H6Ae/QAACZV1P29e5M8fd5upRBLrqLOuw7xyVMUboQZLwUA+Mw7ITfz5VxSx2Wm1afLykIE7xE//qTW6ABKTY/CLqUJWV/7sPzsYDjXHlPGbc71KvR7w7lY6OcAwDukz55U4JLlq2xMHVTlsOD9IkPKT1HAWNnMCR99WOHFWmRIozQ6NuoI1vJ/eiyK01a1IC12U0y8LAVI9emT/fKFtiiU+Zv7Af7rX8vjVUPQHHyd7EQoxaVtkaHNTv5OCelB1igVQ+KpmhaffJ77m9+bOS+E9hmoZuh2C/rR31cT4ojESbvrKxanbAqp9t0WKe4HpIe5XbluKTde6p4C4CaAPv5M7qk8JwDomx8hna2mtU5zzZJDVdTp5eWkhCIA/G+f/U286D+91qp9hHsf5ShHuZbcbbi3NUE0RJrixD+BtgH6HqSwYD19tRQMRdtUCLbdsc5zwZohsyUt21JZGxDMAoIXBKWppOVOToREV3EW6w3o9KRwOyblvnj8QH7HXDXAJpR6E7TpSik96nqk+1I20F3I79P9E9EmFuKAK+dm4lpHH+zjLAwhMDDFWZAWN5rjLFQTyTwc8Qc+qPgCk8hkE5vSIojTMDJ4YXbwQbJcC9DJ1vQ4XRRHosK2/aKFm+EstFxhyVBdtsIb+fwlxh8QbTAFV3wRE8Le7EuxiWTEDBrP5Xo5XR6QXX48b5Eah8Vn8uxc+41X4iz4AM7CffIUz//gQyw/1xR1Kinqw5lMLzdw9SEsKu4BDLhRsA7bD+R6p98TLg92BK8s3I5AZz9QcBY6ZutvPcbmg4Dl81j8NrEVnIUiOBWhyZ4QNg/3cBbpf/8q8FnMM+0mKeozjglgEg0h75C0XMCkwvl+NASAmBVbiXKQdYYSiVpn2qIkuqqGpq6ThMICytJoyLa2TSfCGEUlzynqNp28RAt0seoGaY+qmLpgOSfw71xqwN7TEgIDEKCYkhzbUgC5z2zyUwpx8fN17X6quRdkzBC3HYRvoR/A2QlHpkIYZwcmIpcJ6tZ1vF0C4CBlBwYT5cntQoyVcmAjJh5vt/Avtnk4XTGN2OSX+LUUAeLGl0WMotybnYC3FG5PMaF52YtDU4FaT55XMmCiSdSNvJf+a5RKzbr1Biff60qkBkSSO7PpES4V5KBRr1QWmbQIpa2uG0FJ2uW3ArDiUDEhvPAIHz8Xk+tyU8Zs+ck53LAUQp7iCwHcUKMhBT3rCP6lEBo3yuieCYuuK3d3sTgQwShiH6RqHEptD0gJAFPWsDg+J6CsPGDDgFLez6ZcWw6Ici8ChSDlA7VCWIy19KH+DhDQVNYsClzau1pGsOsrMKwb5CXKkQ8AVaMIDtSNtV1dJ9/ZcoC6QJnyiIB40WWSj6DVqo4dAC1ArC+9soHx6bJW3dK20zRlmtv8ordNmZSc8qRzKBqEJKJB/AjLRb1unjB876yEAXFF6LSAtIYRKUdu2ADEZDLkfI2TBn435uS3POaOke6vZAIRFd4JOT9MoOhazvCq0CkfCJ1iGNA9MkWtPUmJAEcYzrMG1Vd+CY2ipJCdtBHwjUN3P4dOt8LJoQlxcjIjPjxHWgYE58qY9Q8W2D0MWGStBchIzV3to4Ku2BPCKsDtIpIJnfJ3ru/UvbuLBYA9AhyVONMymGWBMKfwMErIU/+dScEoKBuU7sjeOMssQU0+l8dxQnrK4wja7qqDszBl5ZohphI5jWRIaGrClTjhuslOoBoFdZkpyxKrDiN4szmsWdixydB0HurOU+gIZ5pFofm/2E77fIhzoxuLZsSDKVKU+1qrh8szoZiAbV/a4NTh9/LyoGbBsTI/oc+aRd/DXWaMSPD13QgGht6NssB6X0KxwjJW2bHSSXa+xgh/2U/MDXp5WYsuzzQLeC/Ob1ucGQBvd1h+1iG8qPSA3Hi43VhwEiUKlBKCLpQ5i5dJ2q3P3W8lRYC9MxmyBPdiDTfTLNonO7jI8OvBsIUh11alTDtYHZxu3QlDnNEsrKn1OrkjiwVPTQSgeqLVBzD/ha0yhuzd1wc59K/VLIoa2ZuUbaCaDLtOgEIK7IKYgdfXLHJFq2Qo3ryvqeK7voKX+kEiCMygjLNg9ZY7JwuFTqZhuFXNIp1VzQJq5zsC+1qDMy0DqBOTiU11KxpEGyvUeiWkzZMiRawArxtqFpwneslTSZj4ReIqaxaeJgliFBNoSFKwqFAGCu6Fg4Nb5933jTWL6i9jRwKoaoOkzAMT5iqrWYAhk70LJZ09bFxl9VJAlXMHNYvh4RK7xwELT2WxiK0TUJamqFtQ1lnzVprFMRpylKMc5VpyRzSLK8RqGwYjIZW28jpnqn5p3RGQQ9p1ACdRuw/gLHhdHXnwXjQMR1XDgHjS2dLqMYO7TkwPg7Ow2kcxCZ6/rFEQQ1yDC8hObftJJHU/Yyz3F2SpEx8FUCudkeAW0rPnh3EWpuKW1jJh5lKm8SqcRamt8umMesRwUmjb/AsW9X8YS20MxFR2ZMWKFNNpjKAXl/WSnTh5+elzpAM4C3tM/+Z+gP/8hRw0Dk5rhnhtRxOmplDBWTD4LGtYw4iw6yYs6fz0+StxFnQFzuL0Xz6b4izaBtT1CCVZsWbf6nurtVQ5R3/Cc2kX9bniXhNqBTbvgSfPpA7rdlfGZ/ntgPbJqvym9DemfQcnkZgwM5zFHAPzKrm7i4WbcUioWsksYVJ9aG0DGkepQ2qcVW65EBbuti3q+iR0eiahUx4GGbx2mn2J7U5U9bapJQZCAC0WEzMEl2upPZrLIZbJ/fC+TBb7gnhzn36o1xhGKRGQAJdBYHy6Ev/GIpsj1nw5WcLRw9ebIetNzQ3JZojNDbFmCD+TosPpaw+rGmwdnJ6qo7YRSDTGZEKnkNwQBQQB1dE4jOLgLBm+OXzcNnAHzBA3M0NcN4BfvET82sP8HIyzNbgyUeJJA78ZhPFKoziJQcNpmTg6cWmUDOC08Gg+y+e2zY3NEPr8GS6/9RBLm6K+cAibEeNZTlFXMyTVFHXN4qUkOS39fbne6pNdaatT57F3oJOFmCFPLsuY7X74MbYfNFi8qD4e9tnBeSh0un2wb4ZcfNlCp5z/ZxaElFfV+FKqUE3qiAxjCVU6yCJAKSB+9qRc0j+8Ly+kwV+Q9xXCrfcaR2GUXmamLJdfvKfP4LKmUu61WMCdnwGrZcVjAJPcEGrz4LeNXC8ZuLh3SHnS+21XixhvdmLHewgyE4CjD6QmyckJeLORWiUA0rPncPQQ6eFZeXHJTCytSwIALkhuCPqhpK67Fzlfw7ucop6L9zIDMWI8XcDnMGdll6bqO4CE/Xy/K+nr5UHECHqxrc5jI7Ro6y6WfzN+eA5/qXki0q7UeKlPYij8/HaAcxKSBFDSyMv7oGvueahw6izsCOOqRViP4Nah/Z2n5bt4Itga3cGHr98vNUlSmyn19TqBEBcezUXOb1l4gICWCLsHHr7LeRweZTfvHkh7wzaVqITWDWEv+SbtOsF3lYrPbUdBZM5k80P3MK4clksv4VUA3cOA3SOCN/R/wymhWZtQv9YNaYHYBrQXCcOJLqRA/KfvLkX93UquI2JrgUzqg1ixRW1nPI8gqi+07h67TlQ0rQdir2nvFYUwpiRvxSgOyjHjPLQUwGZXrqkyqeux62omaN+XpLByz1yLhPu+/pv7xX1f65KY9hFQ6pIA2XGqNUd2WrhZQGg0CjR6wiYOCF5gVkUd3pV6HoDMTQ3xTrzp2s5DVdTzeGg7AcAHB9KCRjnaQnmhULwLxZizW7kWJLqiinpLOFhF3Zsq6hZfE17uREvKi5hfD6UmSVqEEs3QkLrbRfiNFnXOyVox4uSzEe3zmnWqVdRLNuw1qqiHXNfFabbyTJoXK/itR7gcSpLd8skAcIPl09rnsL26ivpw6tC+GBF2VbO4Sd2Qo4PzKEc5yrXk7moW81DqpLCQCbXqZ3vMnj+/jsqsELFWNSt3sYWW5/cyxXkmhYkm1H9RtIpZpbSikVjsRIzlc1LbMxcuohjLv3I7lt1Wixhp23MSlSUIRskO5doObbuaZHPw2zCaduXdPUPWy2QTjvQAACAASURBVPGhttfuSzTGUsx5T3Q8zHWkUNHMiTjm/hhtCWO2yW2Bn4wYJVN8Sej+Dtw7/5byuE76ClRqg5hBZZFBIU18N+zEVKslBbO2kBi+SxJKhmAi2EmI1mmRoT4WH0phB88aiOtivaaOzYFixQVMNqaidbkuIuz8hNHLuzj522nFuJzO74dU0/cZ04zr18jdXSzm8qqiQ6863zhJiejtM3Vz9Wxz0YrNcIRJ5bB3JYVYmPbaxo6Kil/OLX4GA7QiwVK8c9F2ZQo+JuU3NeA45+oYv4P2KC1fmVQREzwHkJ23NhP3lqXczwnu4o2u4c11AHDJZb+e3N3FwtYJmR8j2v9sj9lzbcUpe3lT9wOAJFSRCZ2SnWAmzVfP0ZdkyE7E8jJnzWDRTCtyAZO6HtQPk1oe5bhO3lyLhEKo/+bvKYRalwQomsWkLgkgu7bPaEeNwoRQx2SMU0dtYuEOtb8HKioz7+zppIVTP47lBh1G0K7DIdqDMh75M4ApL2eOtnDjxSZPJvLSCcJWeU21toeS1KiMZ+3BcnypcfD5d96k8KdVK8cutTRBg9RmB+fCo3JECKLSFmFOrZeFeDeivx/g+rb0gx3BB4fhXnZm73whcopLjXDkCEXj4PpU6ok0T9uDHC7xJCC2TgBmWcsY7rXYPfCVNBnAeOoRbAJfqz4LwnDi4AY/cXCyv/5qcWcXi0mdkPl3phaIrQ9Cpgp7qS3iqibAmvuRUg0xaiThZClqtE4e72pkw97Le5nYFn25aGsIknPE4PwETtGXWSyTVRhjiVD4xOW4vsylFsnJStqo7V1vgJNVrUsCFNPD1iUBpDaJTqZCFFwQq14WC63knkO2w6MVwmV+LVT1zcS8SuTb32/RuspspeJ3I/wwgrYHXvY8HgBKv4f7CwR9zhoNaWXyqHM1roI4HjcOwyMZA2WzcrEiFAFg+2GDZbu/McQFoV0IC9bqRR2f4dFKjq3lusO9ttQkSS3B52sRS+QirhzawujlwETw6wGX3/QA8oITCMkDzcZj+zijMrdcSnuMK2lv8hJhaS4cfM/lePtsBbcznCRZdo8bDPmc5lKew/qjgM03CKB6fn9GaC/rGMTWREMWhNhQYeWiyEg3WAHu7GJxG6JApC/gQtc79q7EmhjztpikqsmxuckCXM1KdksyqYehC3o2AyYtcQdqj9yG2Pqk5nZSy+Oq39xym77Ie876cdOaKcdoyFGOcpRryZ3VLA5lipbvTOEg2GJChwoRaREiK84VshpFXNLFegKFTfmaACb3okUrmAFFHGaGau77yU7tn1/u4yxMESC6WMNrYtVmi/Ak27IZ1q2Fi9hRyR4FIBDu9UYyENWkUN+IKWIEQBKORoETe3tMtY1oIjI5y7b9dL2Hs2DvSvEfAFh0i4KzcDOfBa83B3EWOh4ASr8XzJUu0DlBH64zOjN78d1OMklpjNI2XI2z8LvlQZwFG5wFXVSYf/tpkGM5ea990kjN2ZiQVkHwEUC5DzuC32Qzs/UCbBsi7v+rAYun+ziLJvtCroOzSPl4eHJ5EGdx8kmLFBzCeiiRonu/06G9bEqBIwAYV1fjLPp7HovnI8ZV9Vn4/vqa9p1dLOYikYwbmBCacWl8FvAeyHkdBYxkMkJJuSVfJT47M331bXDwch9HNSTrHchkaspvXXWMej8hltkryOx96UPJHoX43PT8EorUHADvi+0PABhzjkTmdNT2liiIuS+FAEq5atfoy71qW33lkGh8TdE340WJS3vnouOhn/U6JXSbF4sJ/2c+DpZcFPW/yO8IoKmDM7W+Fl02khoHCk6+M+3lcixPqDZI8aCRMC49SqlRzyU64oZU2pAaBzcExKVD0tRzDZ0aaDcY1cHZKvRfzqUkQLpyrnmuVmLjxJ/TGX/EwmNcEmJjj1EFFmLm4FwRwtaZdvGNzLu7u1jMPJsTX8N1cBaZbYmsZmHYvwtzlK7iwyAT3Z57CGcRc75HUFSnICQ5xUnMmrpBtASbjwLUCTMMk2Q0RREWnMUwSNvCWP7VtvM4Av1gUsFZFgHVrJQTY6i8E9BMf81JoSmCU3EmE2RoQXDGCRbEWf4P278xJ9Qd2BnLeMBEfLZDvZd3QvVXwpV5HIgqrkTh7WOqOAsTUg3eFdq7yb2Dk36NqfJnAOWYalJ+04NHibQER7Uym8nvoVzq0I0J1DhQP6J9MQo3BgCt4O66EU1+DhOchS42qoFsR3HW9nnR3vUHxy9sRnDnJAU/X7d5yWAvUHYVFxluZ5zqO40qOSnYfDmWzYC4jvN15O4uFodCp/pVCDXTNH+mEKah0xCA2E81C5uZp/wOmrF5sprQ2uG5rxEOm6jlvYRAdUceR4mObILsqsqofe8UtPETgA0vmlrNnLmWFARKXQ/6JJj25AQw5tJe2u5Aq5VEFBTCrUCrtilRD0AAQAJxrhEIPwrlmvJklJBtNhHGx2evzQ2J50v4C1/6VJ5LN8DFdBCvUcYDKP0eHyzh1/ncICX3hBSmhgfTIsDtBrhhxPg4J//Nc0OydI9atC/3X+nYOIR1K7khm8qPMjw+A7cOTV4sxgfLHGnhrC3UZDT2UsO0uVBaPC/1Tz9LuPjBFqeN0RgcwW+jMGjhdbkhAb7jYhr49enB3JDu8QLjkrB86op5tP36ApsPHU5NBEhyQ+oCYHNDhlMC+xa9li9MeOdV1I9ylKN8H8jd0ixU7SfaB1jECJATurxM6gpgyidhfsNdX/gcSvpu3xdzRlO1C4FtCBXElO9XUtPtvTZb2fE1DXvXgV5KuUQ213Mv1+L0tGq6KS/Im22FTG+3pVJYHKvTU0sllpKJuQ283Ur26GDal8Fivrdqdmb76gd41XC2O2l7xpsodJi3QjAcnlzumSHqlykw7SEWtibra6ExynUOJZLpeOTzAKBJqWgrhd07+MqNAXGgUjcAmy2C+jM0jdyUV9R2+fW+GRKyGYImFHZzAAhPMuAtY0yaz1uhvUtCrFvp+CDmRXAF1i2+DoJ/fonz312ieZo1FmOG+F2uImfMEC2oPDdDUps5OF+sD5ohq49bpNbDX+wqDWBihG2L1iSSLZZ+aob4aoaMS8maLeULGXBfRQfnxMS4rrhcQbxAioXQ5GDRn2tfUx2nBxCi7xJrYXES2h5DdDI57n3l9tSFwpEACLTt3uMg/PGW+2DJWcp/M2i3dfDeprDCzUsKvzpZDRJXm+Yw4c24/baZz28Iyy+cJAXweLPnfXcXi1f4LK4D9y55IDanxHqZSzQj/+ucRBrKxD8M9y7/WQi5o737I3jQ6KbxmxCqr8PNIiN6nMyk9uK9J1+9+JSTwORlNlEeQNoUjI/GHWivLhQaDZl7w5tQoyyqzXgnx/Mp3Hhg8OV8Fda2+H1vvo6HfgZkspVjWhc1uInTjX2uOOZcLVuQoyHWIQpINEQdhVaUrIcbXykCAHCTQ6cK8Q8O3DggIsO7NTKDolmoE5ubvADnSEaYhESFE1PDodK/w6FTSh6UiynLmPg9Tg69X2odnNF40sJjXDo0xmcRFzVqBUxDp6kVhKxGZCjxjRwRd3exmJshSnUGXCsawso2beuEmu9KFueNs05Z8Bi68KScdcqzFL7bzjpVFi5te871mGSdlsI65l4pyTalxxVLkfL4veOs03KdjBUh5gkHCZlnc+tZp4NonRQjHNHUDGEJ4ZZjThZ0iumdZJ3SEOG0jeObZZ2yE1YubyNOX4ms07lmQc5kkl5Ds/AOnPKOrC+vc5VU5Q0TyRCCnGtqokrdyiFjDLJNeuuJZO007KnYi1WNhmiuCxHV6ytPZqaY40In6ACm95dIZjAUkrpeMR3OOaAbbj+R7ET8AkgBaeHLZKeYisnhfB6D1guL92XzThLJxrNWKtnHWtrgTRLJAGB8w0SyYzTkKEc5yrXkTmkWys7NwwhbUR1AqVnqP3wsXJulFkgEOGV6PfObxIZ5OoOJPvxAPN39gJgJaktGad4RK1Bq2Ct7yDHCn5yIx193X2apbL2RY+7Bfbn99z6V6t9ml7VVznmohL1pHEFaK1UjCZ8/KQWNEGOtGDaM4GfP4XiKZyUiAX3Zqu9ZC0FKBUehFeelW1ydiQ/vCyDot767T1EITKqbuyYUMBtZRGSMSKNhmra/33X1uvk3fn1evzeV5C1jdwGGNQH0W9+t92QxMcnswoumnRYGyuIybyt5j7St0RB6eTE55hPDe2kDnyyr2aOm3Rgry3ouZ5genOHeP/iOlIqsnQFSRKPPOqYKlJv4uiSKVkB1ANJ6s09IBGBpsqOVi3T1f/42TpaLGtHL15+kGBhnd/zmY7gXmwmK1W/3I1dXyZ1aLDCbnHvfcbqy6NBcZBFxIOIaLt11sqDc0As8kRRLGFfbyplxip0r+SS3LrMJzcpbAVQ1ljOXZZwuorV8VSpudtr1ByfarYo1V+wEsVXVtO3vItJkiyIlrhykGqJNqZZdSAlIrhYteldt6/o3jgxRFOY0phs4KozcqcWCzcvqlsvJiqzfxZcvEb7+Ua0GfrJCurgUOv5tJb2l1VLOOVmB8m/Ts1oTw33rR+T3F3lHf3QOZwrX+u98LNccY73X6YmwgT9+WH0dT56DHz8o3BLp5YW08w99C/6ym9TWTKsGw/0FmIDF51uMZ2Lnhuc7dN88AxJj9Zuye8Yf+ADu+Rp8uoS72BbWbv/pM6SvPcR4uqjFeDUhbdUWzgcAaD9dS67Hti/ox/Ak1+/IPoji48i79vqP/X40a3X4qS9EciV8J33p7we0L0YpNLyqu1TYRjRPt6bqF5eEteEb9wokejwXDXJcebTPc7KeRguWHn4XS0RkPA0I6xHN7z7B+t/6/XJsSXAj4EaeIBA3Hzgsn+U264bKQGyAxcuEcUk4++1NOX75gyeIC8L5t+XY9uECcenkumFaM5QDZcLbmNspm8X5//scv/Xnfwhn35H2pgCkBmgvGdsP5ZywEd4NYsaQ0ZOpAUBAWANhx+jvy/HH/2wo41xycYiw/maD4ZRw/jtjGbNP/+1/A+sfZJz9Th2D/hxoX8i1wUDK5PZxAVAE2pf30d/LMPQR6P+Hfe6Mq+ROLRZW5k4yGxNms/OUz3PVeZTiQzTWIkSTuHJhxpaXi3ZSIHkStlKvvNmpeRwLazaQF7Gu3ysy5HaDTBqNSACgnuC32Wk2xJJ7QDHCb0bZ8DUHQYE3g0Q9rJefxiSQ7G4KcgJRJa4BZBcaJTu1QLhzv0s0Rs2u3O5mPRaqeRql7Sk4NIll8QDQBMmqROL6AvGBaIRmj6YEtx3Ld1q8uNF+oGIHKLJkmprn6dcdMAwIa42iOLjIQt5ikqgWLwnNOgGEGhJmIBByweFaUBmRETYRlGqt0+ZigO99yTJVWDWQw7yxlgLwGqLteiyeAYuLDE8PhNgA7Toh5oUs7BjsOIOg5GdJict2gO+4hJX8Lkllc09lvNkRFi88fO+kjXnMFs9PMJ4QmguuTOID0FxyWSyU/Ca18l17yXBaryoC7gZUlUcH51GOcpRryZ3VLF4pbGzHcmzmhyhJY4f9E2WHUYxCxlDsXWduV2c27+IIZbFt55qQZEZy0VyAbDOqWZJqeBAxTSpt630pVX/LxI5n2VUnNjUg2pWN2cckG5a9vmInSMyDuUZGg2G1jgw4hhuBlNOupW/Vprfp0DSmYu/Px44SlzZQVL+JBWBljWx0OcuU89+Zt4IZTp18g4T9JCU+mV1VTAh2ZDAy+bvIwMhlzCklOXectsuNCTQymGkCDiNOcD1N2qVj7HuGG+z9CG7gwhXhh9qmgnEobZbaHW7Q5K783E3bKcn1XdDnzuW3viP4oWomzhP8kKE0bG4EOU/alY9EfDVwFq/jryhOHhuTLqrnDRQmw3C9B6H2wm0w4cO4riisNlX0JNs2E1W9zmcMSeIp34Kycs/bdZvOPnv9DHPmjAyvcHIUuHillefaXsU+qAtKcSCap3CD2L6Vyfhx5ZhAnQ+ZmbveQ0ohyG/Z1bax1g8yLN5vKuzMK6f3Jyo7mY6fTN56TO9v6e4UrMXBCb0CcDWknMy9D4yB9luPv63c2cXilXIoT2Q+gRxN/51JIZ7RA95N/AtyEletw97Hm5yAnEcwvz97k0NS2oJKTjODjJeXRu81zzex/dCJp33Q33hfJ6r20XvAxzp5NKHJu4NkPxyoQITdmF+8kKHPY7XLXV4w1DfAIHjNoZhrZ7m9c8IhO1HVZ5GCgxs9VNNIwYE8wZnFJgWSIYx5wci3iQ0hhDzZPCb3crEe02eRMsdD8dt46TtR9llY2HkQ8hnlh9AxYu+QGiop6HINAUGpv4ASMrSbELM/WX0WlAHAepwdBBpu/S5OrpcaGYPiDG7keinUBTO2gO9lkSDmch/5l+D76segiK8I3BuYTJAJ27c9rqjJ+QLifcmjOKiFKAIzT2bO5ykikOTiB7SNnMehGA6fP9vcDQCxDQLN1d8Bgu/XHIDMtARAYv3tdHHg4Gp7vKsOQKDySwxTyDU3YcK27ZpQMnQVNVmyRHOuhyIwFS8xLj2abEYkR2WxiAtXSmfEpVDKWzYoYtnFJd9DE7Dy2MWEZHIaOPc7Nq7UCC05DBnh6Mb6txsbIIRyr7h02WRgocfPi9O4ynU/Jw5OLYgsLFJ6H/07tvWZx6Uv7N7saVIqJDUO44kruSeKxFw0AcOZZe0mpFaur5EPJvz/7L1bqC1Jmh72/RGRmWutfTm3qurqy9w89FyskRGysB89oCcL2bIRCOvFthAePUj4xQ+WbYxsjEAPvmAQCMZYyPNgyXrzYA3I2GAEAsluzIylHkbt8fR0V810V9W57cu6ZGZE/H74/z8icu196uxT1TWcbnbAOWvtXLkiI2NlRkZ8//d/H1jz9OaN7meDg5cBIpbtDsTyHad3MjthX84bwrCqvqpxA8xnjPiytnM+EfUtuVAIaajHoygXy6Tq3rK8xJ3L2ztYaIaolRsZco1v6fE2AqpSVkOMWtTRYgBEEjdfzCA0LTvlJlGLSh5H2dNyFprcDQBi7puB1oSZEsNNWaag5hYGSJ6BrlXLINaSkyxnAhB6OZGkbbekIQCYY1V30r8pi1KWpYK3OR0Ua76FRUP8mAsKTxb6jFluHGvuVNf4BcewtTQzch90P4l6EFDxFUBwAyIJkY6mPFUf+200xAUn+8RYfDl50rU7S/i0RBJGwQlyIDAZNiHqVDK4oFmqEtzEoJ7LVN0fUlGPOo6GuCgRBq/p3wUKmCP8XiMaAJwHIghhZISdbAujDVi1rSkRkAXP8BPgNQpuFAj2VCnvBHS7DGK36LOwB8JW8BGrN5BEWGQmU7G5HAE/Av2Wy3SaEuDeALO4j4bcl/tyX+5U3t6ZxVFplyEUAth4EqpZQcGDDw0ZaBiEU9D1jZhLM1NZWRKXuIrndSeJSfpULPMVAx4BeaIPA3g9FPKW2w/ImwFuL+wXUgLXfNpL50ZXnlx5FTBpcpGbEuJG3ndzwnwSQMzodQaRhwC3n8F9AI2xUHz9BetyJpQMRljK8qbH9KAmkg3joIlYhHSmEn5lKeCBOSFvVIFalyPTg4BO19+kT9McSJYeOqOYHnj0lzJltqQkMMAhw+9DfSKayxgc4iaYbCnSRhzIbcoNoCzJ4toj7H0Rxp3OO/SO4C56TGe2VCK4BDXJqTPLw+O6BCmAI8tTtr/OSANheGlLA1G7njeEjS4Bp/OuEL5yQHEbB6QPptOaEm/yeP0nAw7vMcLelf1yL8uq/XuyT9iRPJaZMJ9ofT0AYoQdwR+A6Vy2x+87+LECnfLjALt3POIJIexrstz+XcLhywl+9mVmEU+AtDL8S8hYcj0JxyNeUjkWJfxomgwtSFkx3gAuOaZmmwfmSUhZ+npchzs0pCzn4Iwj3+Ibzi14+yACjyNoH4qeA48jaDeW3AA7VtjOKmGfC+joDkB/qSY6c0ZQWXkqBKEKOLopgZ0ShphLCrToQmT46VDk+IuQbubiFAYAtBtFYXycimamKVxhFuWrkj2qy5H+IgrhCigMTEeAm+uN019qqvOcwaSDqxkEz6kqbDdR2bBPsjQD4E2hehvhr2T+7ey8x7BYhvSZCwGtu9bvT65M6fMgeAQg6//+SvQujdlJiSVkODH83GBdidFfJYBEcxMA+hcTwvBqUpYfPbpLXQIo9kS7EatPCKuXCv56RlwRhssqqeBHACR91G3rYENJQFR/QAmdCikrI/cOXlPNc+eweZoQtw79i6n02erpGmnl0b+spKywI3TXXJYhho2kjhAOjP5aBijpA8Et7lre3sHCtChui2YcuYJzSiBzN7fPXydx3vIXTPMic+UppCSzjpwLO5Nu0Rn4tPopCdRd8AaNFBBUK8HAtjkJhyCjkcpjYYr2nRy3eKtGaeMXtIAsehJQnIEJUI6Fxfdz7wQHiFxmAJQh7xODUuNKDijfpHJMCo38DcN5BbPwXNfjTSqOXPza9oajAMUhKNYBgGIuvhluUgp3K1bzBoVSxQaIZGYi7dN2J67hTW6+wwyKUDZqPUcXWXkdFTvK3c1blbKAlm6u55utb+xYuemHz1ne3sHiKGS5XIZ40aoAipIUhdAQo9LroyHW+XOU7L9eps+8qtEB7sRLg5IpKfm7R0MGqY8aL4zce4lWkDxBS+QiZ8R1WACcPHjw3OlrqMujLoAHL8uvLyIasvbloqDoij5DGipVOm4cmALcnBFPjKYt0313aJS6Zo2GZDHRsUEzrVXxivBG0ZC4OVqGZEbqqNwo8ynBJY/sUZYnlBkuybQ+9YRO6fAUM+LGYTp1WGmfpcF9pmjIdA7MF7YM0VlDphJ1yKECjvHErg/pAD9KWNP8R+PGwXnJx3EWjg23R0PmM8L0UGYK1gdpBYC48S6p0ZA04nNFQ+4BzvtyX+7LncrbO7P4tNJSisumZlvmql92l7rakGlq6tClUKGWv4mpMrNO6QGbC1JhCi2PayHHhQRglvRyzn7ZRluufJHDfBtBZgaDloY0bKFelOkzsa6bc1OB0sUlzNnQqjMvGI5v2q4yxebmvX3ODOKGUFW+Y+2tbSjLk885RT9uQ1mSHLX3xn7tdqvLljSp6e9XMXb1u2XZYefL9fwWffM5y9s7WBwJgNzIOuWKLTDf8oO/jmdRsAFbR6cl9wK2Zm8GIc2luBPPwjIwcxbKNwBQhDeptjnB+YpZhIPyMlKzrjcJtTbr1N63mpQ/QJ5F2KeyhqeYwd7BO15gFhxEd9LNuUQdiCF6knMqA5loPsg50VTPwabyTHgjnkXlODgZpJjhYmUvdgMh7BkcGls+vXH8QfJYin5lzAj7XEFkKHFSB5A34Vl010C3N4CT4BKh2zPStezkx7osqFwV4c64yXgY0H2tX6nkn+QMdDu6wbPotozuUk2FGiyk29Zlj+Ws5E6YnZ+HZ/F2DBZEwmZpla7Ul9SUp9LHn9TPWmFe85iYJ9CpOlaNE3i7lQFjaiwEm++ZXSBiBJJSkZmrJeBmJZhFTKDC9iSwie+Y2tT+IPiGbbeL/HJf7APLk2FyCAagjhO8paGPM8ILXZ+aLiez5oxYXxgCpolWF/viw1Ec0w5jMR0GAN7uhAUaY03CMqUoVb4yBa2sIG73fF8HJmu7MUl1IPT7oAMWC0YBABmLgUIapNL6c4TfTXWw0P5w20ONzujA6cyfxAbN3SjWh7s9+meqV9JV/KRVJw+7rqS/t7ICYCXJtU/onBH2EX6kEhnzL3fVk8S5pX+Hd+j6IP4jQMWsrrY4/07E8KzaF+bg4PcRYasanFMu9GsDUXMgnW3JALR/V/fdi1UjN/aJzhG6Fxl5FcTXRfvs9MMThH2H4WVsQtBLHY6Whh72Ce6QsDbfkMyFTHaX8nYMFrcUaoV2bysmYOtdpXsbWJcSckoyk7DX47LIp6hMyTZnhFed3PCWTxG0TdNc5e7t76PwbKsxsUgEsgvQuXJDFJAxMXil0oJE4E0PmqIMWkXgZhBAdpqqJker/L1vbohplpvJjJl0m5x3LrMvADUC0io/ZZaIDbMa4ZhMIavNYGxuQC4DRTpVc52x+Zy5ius66ZfiPo8KDFMIokXSLP14nhcK56U46OCpszlVyua+odInRrgay2CXTnQwniSak9augMfuxbX8Pq1aejkWAXOoru/2e0xz1aAAJOfGiYFy2Okgbn07p8KOTSsPP2ekTmY74aCDnwLiqavnxb1D9/ISbgqLPvOHhDD6wmYFAB8ZfkzgQBKtssHCEcLLEW6KyIdQ+vZ4Nv1p5R7gvC/35b7cqby1MwtmARZvhXYaHIFJlyHmbg7call/ax3AUuORCER1Ck5zkqdLo51x50kbV4C05VkYm9OmmoA+eVQotmAvmhtAyerRaXlMNe34iygtyMpc08wdFcNeyVuQGRyM6JRU75PEug9Ao/YVlyK8n0NDUt4YlqT1GJeABGdxVHEMw53KEmisOFHugxDJPqeOpotVW4QY4FnCxTVvpn5WdCzUs0N4FXVfN8s14zNqf/PtaH3RuYjNNQYopwXKR9J9P9cZSnlrB4vXlmPS1VEm6huX275ja9/XodKfVqdrvveKV7Z9mHEjFf22oMHrCGefp7Tn25ZmoFv0Q6t9YfoJx587Kmv2G997g8K3HfdV+9jHR5aOZbAu7f5sbVkes63/1W2i5lEjCXZc3nPzfaJluz7t4VCiSlz//qKujtcOFkT0NwH8SQAfM/Mv6LbHAP4nAD8J4HcB/BlmfkHyC/y3AP4EgB2Af5eZ/+/XN4NxQ9E7JRkZb1Pzzkf720xDNSnZ5No/rRRHsrzsXIOlx0mehtO8DK3etdzmhqY/JDt98jTtZ3PYmo8wA3MNs3qaCMYXUhpT4nIemmZe0Qm3aB+AylZt2kaz0vI1KlNmaJ91ZmEzR+fKbEIydi1VU0ykmBtVr8QlhAsiuEb31DEju5rq/1kLZVQFLtSISg2NW/vqFnPtxQAAIABJREFUjLhkGUOwA6N2+1FmspnrzOxVWIHVYQI/cnyZZXBGE7r/gURO7zSz+FsA/jqAX2m2/WUA/zsz/zUi+sv6938I4F8F8HX99y8D+Bv6+tnK4ilrCUtJHMA0F4O6TiT++24B1rlhEDqCvgIo+Q8AwKcb+f5hkqfm6VpuFPMc1YEHIVQQzjvQyQa02TR6GAQ6PyttJd4CANLjc7jDtBDU4SEgnQj4Fy4PyGtNKtuOiI9PAGZ03xNxgnwywG1HATzVARwA6OIavBpAQw/a6UBq4dChQzrblHP0L68FcBtn8LlkMNHlVs9LIiwl+qJRkfnL53Am2JsN9CXRo9CLPm4Cwl4Gc9PnIGbQlOF3Ux3YgpcnXWbExyfFoyJpAh3OV0WhPJsIztCBxrksOdKmh9tNIADTlyTalXqn/AhB/21qPz7w6K+yqkdRaRewgj9IzojldlByGJ+skAfCRsHJ/GAN7p3I6gVa2ADCkbBbVfnc3NB7AC+/3uPkI1/OI3eEbituYUANjVIGZtO9MCO4UT4/PJLtD4ASOi0KXp4wvrNGXDusv1/77OKnN9i977D5qEkkWxH6LRdlLhO6SR0QxhW6bVUYpwSk79yd4v7awYKZ/wER/eTR5j8F4Bf1/f8A4P+ADBZ/CsCvsNy1/4iIHhLRl5n5e3du0V1Kmz268HZoQpyTXMxsM5SjUp6AKQmirqHUG9Z7R2tBzBE8TVV7co7AYaxPe1t7HiZ5oqZcIywHbjJFY31ixCRq4K3m49Ss+5kXswlKSdprxkH2dGdeGP/iIIlkPM+gnYZ6beCLYkZTLAVNz+K6hjiNb0BEi6dv0FAkxfp9Sqxof6pRDyOmMcPv5wY30NDpIdYBr+GcWL8BgMsZdJjA04xwrZyMzgl/glmUrZqfKGyjqH01KmKkeha+4S4gZnTXESlVUZ6wm9R0OS/o9IDgNG7q4HZ6nViy3GHE6nlGf6GDiFLju22snArNhaFcs1NTTyW/xY8MJrWgsNCpd4sISz+OCHuPcHkofbZ6kZADYbjIlWuyJ4RdrolknVHOCWEv4eKwr8l/lktzl/JZoyFfagaA7wP4kr7/KoAPmv0+1G335b7clx/y8rkBTmZmotvsaD+9ENEvAfglAFhhcxPF+7R1rfeVtBO8rGFDqBqPgDxRXSyvABYp02YIbGpQvOplJmLT/d1B9SsdKOmYqglk1Pd1GTJNwGqoTmT61MybHu6gVnKNrF7a9AAJG92WAA4y3QYzumshTeVVB5flO465yuqNk/ACnCtdRs0yJJ+sajfNUZYhRGLH1+wLJT9ZG2xWFs+Gxs+ESyIZd66sy9MmwI8ONOeSFEaZ4SYvkQh7BDVgYtp0ZUaRdPmV+1AuQD5ahtix8qaX2dJuj/lMDYx7JWVl8Q2xq28696KS5QhcKtaIwyxGP92VNi04zGcBce3QXWpi27p7/TLEtDdtGXIxYP+Ok2Q3AOxl1pA7wvhAZwujq4lkugxJvSwT3Cy+IoeHsr2/DPCTLJlMCVyWgQ5x7UBTLn12eOxVM8OXDNc0AN2K6jKkq8uecCB0W7dYhrR6IK8rn3Vm8RERfRkA9PVj3f57AH6s2e9ruu1GYeZfZuY/xsx/rKPhjQ5OFqX4QUUFjhF829a+foHllWi3O3pvCPkX3CZD528g+8bmpObv5jvH+x3vc6OuNy0k/xZq483ftV3HEYYmQmJto7Y++tSIw+sKL/qhtqO8f03V3LSl/k2Lba8szTnfaf/PUT7rzOJXAfw7AP6avv7Pzfa/RER/BwJsXtwJr2D9r2X7KYCZLi8BoNoZdgEcY6VXE8F8UNPTak/o33ki99ZmXfMMhkETzurTHvMMzABO1nWNDSA/fwE6HCQXx+wL5zVoswGfbapSVkzID07gplnQdj1+7EXEZcGQ63xJwQ4XjKRPqTDN4LABQMDHz6T9Qy/WiOenoMtr4Fyp7M9fgvoO8d0zeNPDsByCxh4RAAZWpuV+RnwoM4vOZPlVWNdAVr89A1jsCLviPVIFY1PnSl5E7h2wjbfcoEcU7racr0okQpigjPHJUGcUppS18vBjX3Qy5tOA7jqgmyNSXwV7XWSZATR55NOpCvY2hR0hrgl0IeLCm+9U4+jpQS90a8Uhdj9+VpSyUk8Ih6rVkTvCvCasXpqil5Pz3Z9jegDMl/oEV3Vvl1yxJMxblJlOEeYN8q+/gKTUF/cyoWQfl6uf2SBuAGCFfiOVjecO40MWu0I7p/NGJQwoKeppAPYdoX8JTJJBISnqVVjtteUuodO/DQEz3yGiDwH8Fcgg8XeJ6M8D+A6AP6O7/xokbPrbkNDpn7t7U5blmKK9AB6n6nBO+l4sBZs4tlGGX0FntQvawqy0OyzCklnrBLA4FoZBTYR1GRKjRBtiXIQECxDVUoZzRjB7wt2h6kbsR4SXS6UttzsIMLkfy6u1y+1H+OteLBcBGSx1oAot32RUS8Zpht/6so0daVJVujG17F9O1eqwkcfzY1eT0RhFrcm0Fazulo7clhaYa5cefqvnEPTmm7KaF1XhF6fWksUXVZcKN0WOevSXN8PmqXMCfPauAqoA+pcr2baVbf3lCn4U5ay0ciXHgrLqW+xdtS88eAF/54yT32esnxoYKQOU3yeQhjzCPpfpvsnxsZeBpd9m+JER1/rgUEr2cVk/HxB3hP4ylgS3k48TiB02H9drvNtqYpkWG4RSL8rfqxeMoCkBkmh241CvLHeJhvzZV3z0x2/ZlwH8xbsf/r7cl/vyw1J+aBicC4ey21zIjvELchXbaPdNLElCja4mgGK6s0j6uo0laolhtp9zAja64/pIwNF2RtSYALGv4q/k3cIcyD4Xn5LmtdQjpj901Fb2VE2Mmrahqb+tl5vkLnIOyFlNbCzAa09L35j/iGqUaWbmpt0uKiB8y/o/N6ZIi6WHKWR10q7cOYUVqGynWc6jmgyJERDFXMO0WPqCLI6t5kA5uMXva6ZCaM4ld2JglHvRyAQUCOwcck/V86TXjODgRKC3CVGyFx6HGQdRruK7xntgr2DoVJ/8gNTH6Wb/GWiam4zb1BHSquqN2n5+ar9Xt4tPChcRX8q4iUt9SvmhGSwAvDmg6YQjwOVGlovsc5WjQaakYQNyY97mlvZFlBZENDOfI/DT3KvIueVFccu+rTvaH2RpwdIK9BFa8sRtjm9fVFuYZLBYqGsDDfhYwVKm2wenL6S0wOlnBPaPbRXfFAx9aweLhQPZcWl1NVutzXa97h34eD2mlbEZ+Oj3ARRNysKU1DrL+3bf4OsTmUiejuaZasdQx7B2aGo1Ml0XFrqYtr1r2lP0Pu0VGhIOfuHwRVER/U6czYppzrY+kQuJKPgKcCoAqp0CAEWDEkDVwQyuALOA6HS6UdrbbgdUjyLcvKwWDmp63nHliyitzCzkie2oEMpF+zNmwFHRvbQ2uplKKjoAzBsHf1i2R/YnuEncxoZG+NYcyHrdlgeHNEjYNXVUFLeZqdgRmh1CWtUBeDoj9JfWV3XmNJ3q9x3BJGNbgNPyw/JImDfWpnCryFtcCVCbrkXfExDN0ekcmF42IO8Zob3obBaRBkJcq4uZhk5dqm24S3lrB4sbGhStQ1mjw2BKWHSkW8HM8pRvn0jeAzkKbdu4CVbnHBcKWFZnqUuPVfIk2notwtLMLMwxbKEI3ipZzXGhXmXbC5iq6lsUVb1c68kpwUWV1W+c18k5IObqeGbt0rJwXPeqldAobiMId8Uf0iJ/AkBZftj2sPfl/eInOuj5xpufLRzU9Lz92NeMTJ1ROOJFHomfcqGdtypV5kjfMhC7nRMa+vGxsytuYy0TtjiQ6TY3s6iCRQZ1rQyg1sNidyB/6NLDEforRrfTQS8Q2DPCLqO/tggHNxnG8nVbhnTXYlVgA4A/1OuiLX5k4YxMXH7f7prRXwq9u54sFn8nw8AngAMh7FEGLqeU+buWt3awuFEWyU188/3x4GLJZsd0bXttk3ugN9PxIHBrnTow2LqSNVHJtmsRO7+8jMakVKwG5DOtP+VqQVC+n2s05ziqo98tCVSZAWQgk0QSyn6WiNYMCsdJYkWrsqFt24BV6OcJLro6eMy5GUjqk52SKFzdoMy3/WHtsnqsP3Tp4bQtJVU/atsbDU8Xc4mGUDP19CNXOndTmKD2hXlho2jb0JxX9iJcI+db+8TBgTNKSJeNzJRFGs/k6yjLwOCmDD8ZKYuLmY9NHC0a4mcusntyvnlB+y/nNsuA6VLtBz8z/IHLsQGRzmv/rmsNhpvE6tBrZLu1K7hLuRe/uS/35b7cqby1M4tPxSy6AJqm5fsuLDCLhe2gFW6eekZznpTqu+plitpiFvZ+OtJdND8O288rvkEkJC8oTTnnxbSXVwPSqdoFHvpqHThOZbthFrzqgZ3iGlPFN8h7oXWvQp0BSEOETr5ufEMO6olChDxUrASQCAcBjXuYPGHjSfN9I3spZuEUp5nOO/Taty1m4YITzcxbZhbJ+kP7BhDCVTHutSjDoE5curyIG4/ADJ+5tK1iFnmBWRwe1ezLxbGV25BWHt2qspDiSUBaeQSVMoxrj7h2cFEjD0oCE5MfQhxceRLHtVC4+xfA4QkVq0PDLLqBsH8sx+12/pWYRe7FrtAwi81pDxxuPsOnUycu8aND2CY9X7FI9M3+0zkhdc0ypMUsNoAfCdN5xSx+JOwLb9XNNBLO3Gg06nua45FLeoM32NS7CZvZurC4jR0mIVDpNDU34r3tsZCyfDfUaX1R226K2021zqb4a1+OZxmiNM7w10vxXXeYhOhlhC9tb04JbpwXWZyImjk7KsnJ1sdT1Ol7KqK0hZSluhXuKAoStvEGKYs8wcVKyuodlX0sJ8LqpnG+VU+k9AdQjtldh9quWcKapKpRtjwJzILn5FzSw80N7ZiUxYHQX91CyjoIKcvPuQo127nOuaTnh91GlyayljcNTRH8JbiRSxsoSvjaxYzVM8ZwcZOUxe4WUtbhdlJW0BveX0+3krL6qzX8SOiuU/ldVi8ycnDFOlH65lWkLMY0EYYLLpaFlPHDa19orlis9O1FUYFbNwzI41i0KTIAnqPaVRyt6x0J2GY3+2pV/uYLoZEXtqFZIlobrE59b8fycS2sTdtvmkG7A3icJFTby5OLn75YKosDQBfgt0Id58MIKI2c9wd4HbSSsUZfXooSt6bEtwKxfHEJ186cVAmcxglu5yqYpraHlDKczXB2e+WfKGBsYFoXACJ0Hz4rs6Nia0AkAsnaRnfRF6EhtJGPGMG7fQWNm0LadmsDAHQmjmu/r/FiiCrAaQI7zNI2QMDYW+wtw/PVYjCwYpoeCB788rL+HNo/fCnZZX3fyUwrMcJpX0HcmKvMoZ531wVwJ0mMj795BXepqul2DnPE8LGaZc+phKZtJsc6IyW1PSjpA5+8vFUWctMHaQNzEU4++60dNr8/IFxUVmruw2KwKZwW73F4f4PhxYjcRMBaJfDXlbdqsOAGRXer1QIos5s6XV4ivP8l8EE6iNZr5Ost3MmmbGNF/Hk3gjZNqOzps1r/z/60vF7vhAz08BSIWawBAfjvBtDZidysKp9PJxtgnMDnp3WJ8uwl+GRdJfV1EIp/9Gfgt/NCkTqvOsznvSDoz/aSaQqhQu+/fAowY/ObUm/86mP4iz3yqoe73oM3cuH5pxdI7z0SWXgVQSkDybrH/Hhdjtd/vJUQ735CfCK5JUY3Rxfk3NbSBvq25Ptt/5WfK9Ncl0TCnr1oNFjkYTrz6K4TXORiKQiW6EL/7LAASEX8JmP60mnRo5jP+hImLRRuX5cK/lCfnvEkIGwjug+f4eqPfkX2GRrxm+YK3j9xWL1gFb+RbcTyvtsyUk84/fCR/hiM3VdWiGvC+bdl23TelbyTHJaS+hwI84lDrzOItJIDnH3rJb79p5/g9IMz3U8IUP0VY/+uRkN2msOSxeUckCxQJiDsIS7qmq/xzj89l4iWKoRb3+zfDZhPCGffjaXPfv+PP8b2xzNOPjgpy6+4Afor1KxTW4b0MovoL0NdhkRg/tbdYct7gPO+3Jf7cqfyVs0sFqXlVQBLZqT39W8jZRFVjgNxBRzt9aiOQqryXvUafAEJ5fjC4CPfsDJVNwM6BQUghsxdQ0QymvLgi9KRDcnc+UIs4s4jDbpO7TzSoGQbVynN3jmlRPumXUKR5t7VNtg59WHhBM6dfE+8NJoZhX5G+h3rB0BNfTUcyrP0Qw4kJCQlJMWVZHey55IYJcrVrtChZWPVzEy9E4UrKP2alNjUV+IXoOAlV3DV/DUQan/Na8kMdQlqjGxgKCHucXNm4eUpGodK4qIkpsFxVYHMtHIl61QwhnouOchx/WjZsVT6MZ5y0anInWRyugjNEpVfiD0ABuZTra/nwlZlB8RN7dsAAU/L0kUzZ+OGFn0WN0A6SyUJDQDmM+VskBzPZhZ5UBf5SKUNbv4RIWXdKLeGRbDkUbSlcCIqweeGyK++UoYAlTkDJnTT4gHtd4rEf8OzyHlRH4DioSniqTUmX2LouSHEqDNVG0UwYpKJvCzqZ1aA74g7kStvoWzPpNv5aF9CazFgfSM3YUNGYpZxuInvu4SyDHA2njOqT2fbXyTTbxGwbc6NUNLMARQavh2nbE/1XCvPorZhEQCbpe3MVH82traJmzq1v3tatllk+Q30O5ac0wEq1jZYf7oZzb5yo1KUf4C+z1BSFZr96vGMLepKe6TfZE+R9rfjUNMGmpz8Bnp4P5FkkupgUdLVHSkfBJVnkd6MZ/HDM1i05TZfkBvamcub4LjcIL7ojVHqMaDN3gMo2hkp18SxpOvrI1CvqDtz9T4hZrmYdT3Z3lhmNFw1PZr31j4029qBx1iQMVdDYGsDKTEsH+2rgHEla9UbZmFg7KhGCLipl63NdvOh6Ttrc0O/z82NmhnkqEY0tO2A3DQUa3vNR6MdXNvBqr3Ype2l80q7bD9KWMjyC4OxaWMU71S58akOsHpKfm5vVCp94WZqBgv1SdWbW85BnuCUAW/BGol3yyDQ7NuaGVPTtX5m5BmLPnMzQLPUUX6bWY/n5Hhl5kA62MxcB6ZYj3WX8lYPFkR0KxtwkTXqnNzM3jfIeLNMeUViV8lWLFmYBIYvSLEnknyMmMrAwN7JdH2RMaq6Bt4f1d/YFjaZrRZCkwzIZnsnAq6WA2L5HOxI0H8TebG8lEb9mbIr52Qq2aUOy061vmkyPym7JuvUptHNVJ1ykdVLfQU4cyDkgYCpyrbJ0kGTr46T0pzWu8gwVVDT+DTNZzIwNTkjqopmYGbqSMbyrMK3ltfSkywDPKqsng4Ultth/e/ISdbmUJdAHOwYKmDTSM7lQEgdFeamtYU9Ia24ZHdy0Dp1OQIAOdbBomSBrnSmxfK7Z1sudLIczbccO9vxLYN1API6C+Br4/AgyyubWZiKeGrqt23iV4M7l7d6sPjUcjyItLONVy1Zbvm+PD3r5gWh6JgSfhv341MKMTTe2h4XOgPlxX42TW3pyHJOHjeWQplxa7bRD7iQPuUY2t6mGWbcVpJD2ydiWWrp3zkv3LhoWdVnaBcv3/Px5/USaNtX+vn478/TmKYufbvsk6P9jt/fWAZwM2Nql223FGr6vL6KNYLNXn+Q5T4acl/uy325U3l7ZxbH+gU2zY9KyR7rtBzkgKGvCtsAaOiBcSyvABZkIXP6plkySeNZDzflEk0IRSDG12hD8CD0SGcr5F72668PiOcr9NfK+9CoyPioAxNJRETPJZ4EHJ5YclGH8aFSsKeM/WOJApw2+/qtV1XsWBSxPYC06TCfBfQGqWjUJZ722L9bGZX+IO0M3mF83NfzBZB7idZEpZkPnbzu3nEYVE/SzZo23pFSjeVRdXjsVOBF0qSlc4BuIIRdV2Tfyk/IrihdA6LCzWQp3HJc04qcNw7dztVjPfKSLfl8hf0TiwJQAftMTAYAdl8VVe7jaEgOQP+SkNbA+pkB2MD+HYf5FDj5vrRt+57XuoXeHXb10Zw7YHpISPq7G217870V8FNb7EYzQGLkXmTy9l/TLN1Lj9zJDCifK7FtlUCOMV308Nce6bGAFuOHHXIns13DRdgB268S5nOG3/vSZ9sfT/jnvv59fHv+cmknPZowPx3qMmSjnJlNxDh7TE87xHfMCZ6QV3effry9g8WNZUbzd2NWLO81B6PJKuVZdTrnqtfZ1uF3S/qz385qRqPhvpwFr4hNOnxMwDTDbye4yawAZoTrSWwOUQek/iIiXE9SXyNEPARZT/pdRK/4gj9ErC6STCV1ORV2YtjjDxE0NantKcPvZhCzHBd1ACAGVn2dLIZrMc1xuwm9yt37rVKuJ9HDKFNVJcStXmR0W4uMCBgbgoRK/WTzYqC/kvRwlyobMOyFml0ySWMupKz+qtK1bT3uJ1c0Mw038AePsE81e5SB/moGHSasXsjx4x6afVnX5IDgBcNzXq7FGYCSsuKe4PfatswYXni4iQqte/2cEHdUSFnh0AwWQST9jVodd1T6OH/wACef6H4dIfeE7pLBLuhvaRgRMF+pncEgum/rLcGPwDTJiQyXkgbProKm7IDNR4R5S1g/T6XP1r+/xu8MX8L6I19+x3m7Qn/RWAEMlnMT0M2E4SUw7jUnaQZoujto8fYOFp+mjHRDJcpAyruvqrgBHQsg5ysoSc6BuyB5JyGUfe/atUy6P2NhQweSH599ldTPCkxSRvEtKQAnicxdqaMLCym5H3hplJRELUpeQfUmZ1cBOEuQIiZwEMYm69PXWR+z1tN8/7NI1ttsgZ3UCTCyb/ACZ31b22pRJvvMOBVmEZjDUpbusxT2TYo5aZ+0NA09NjWARv3ta/TC/qbUWBfi1cle7ACELGCuja2EojjGqPX+IACHt3ewOCZlHZdiVehqmNO/AepXOlFIT3DiaV10CrxEHWhu0P3wJvVTiVjYhWQ3HwgyMDWRALk4uByDHQn13JEqX+u+XVjqhP6ACxPqhc9qMqTJUUz1SWceoyW6kPSGcY16lYG5GoI1S0EOdbB+o7YtBgsAEFWrEiXXvpUBANouAqnBEDeS+1DiU+6wuDE/S2EbHKxt1l/O+ksfEnYjQwYYGRRY+1a2Z09wXqMmNlF+xWDGDnAh3xisJNKkIPTR4PR5yj3AeV/uy325U3l7Zxa3Ea8Wn9vck5dsTdv22vrRfF/XsYylctQxUetNQqdtmxqilU2JkZtQYja2Zz0GqTIUO8axupU9qb+IchyOK8diXoYdjaG6IGUBraIVaeYvJWGyVvaknN+bnkMbei3Hyze3U2Y4UzJrQqgtEc76+03Vom5tV/v9NhzL9Xe/GUZdfmY9UZi7iaqc3ysm2BIilunKcRvqvzpL/Lzl7R0sGp3NG4W56jyqaIs4jZsmRIbrOiVB0u1hdEPLYwJnBeI4l4uJpxl0GOVzy3ANvsjwl1wNr++PlgYcXLlwKavWQe/KlJJS1cp0k4CbTCgmOBTP4LYj8oO1AJHGvNwdQPMJ4rqHPxLbzZ0rUQUAIuDbOVBwSLo0KF6dnfA3bMngjOjTAQv7yzLFJ8nRgAx2fhZ03zUXslzoQLgaF+2SAXgFmlvgVAVom3wRQIRqKFcx3LQipINoXZRliOZZHN/oOcjvShmgRlou9TWyYRm1xAymTkBaFQ1OD73mhggpq+UpWEQoqUFPmxvCfZXNs2xSDpr/AYBHXRYxkFb22zCy5xJxqrqYgJ9Ul1P71k+M7fsB80aiRqnYETBcVzjhcvyBkRu7gTxw2c6B4SaHeGIA9NK97HXl7R0sjjGLhVZFqozEckFWLQoCJN2dubwe10FjKt+nDBGbzbmAcgu6t2EhRMBhBO2nSpMeJ7jdVPUd2C7KCDdJZMCsCGjK6K6TOG/NuYrL5oywz/IkMBXvJN9zFunQGw3Bg7KIsDi13bMUdQ+gbxLJ3G4CBQfaTwhbDZ3uNYISJYJU9tY6hssMv7cUdbmpXSLNo5Bz668z3GQzHx38VBvBzamyQjUsDSefldyOWR57dFHFZFhFYdy0TFG3vqRxLqIuLqLQvXNH5andvxThF3YoTFZiSRHv9rnONgAgQ0R2ycHpQNxfJPjx1Snqfq4p6pZQ5nYT+qdnGF7agC03dH9Rw7pBk9soi1KV7KcRoVFS1O1u95NEmdhVujl7wvpZRjgQ+otU+mz1fMD16Qr9JUof0OyWKeq7ejw3A/0lF4vHBc38DuXtGSwawRMAMt32Hll1IhZ06pZObPJ3XVfFZJhBw6dnnRb6tJkGBQeONYTnUhOebZcfd8067R3ceEz3puLXmYMrT1P2Tii7JvSi35GnHylj0x4dCoh9kVmnlkynFy17uQGKGf1A8DOBIpUbgjIkW/X4d9RzyYHgjVKuUaE0vGHWqR4rDqT5IUb31natgbinAjICdXbgEmE6I2yawS0HQupRgNfPnHV6kkvmpwwWkjBWs05R6N62zZ74QqVX+jdkhuE0SuOa796adboG8llEXPdlsIinsgS7oWcxWA7LD3vWqaWXc51JUN+Dpwn+3ScAgPRJFa5BSlWhibkI1NATETGhaUZ+eSHKTNfbotDUkrL81b7URQDchRjm0qww+sNz5LMN3NUOdCq/MPcd8OwFMM9FGo63O7iUwFv5vh2r/2grIjC5RjjoEFX2Tp66reT++qODGBU/tBxmRjxfwcWMvBlEIg8An65BKaP/7nNAB1JTVvJdh/XFqvbh1VaiOvOMXpc3ZvLsnAPnDN/J+WYV+Dn9zq7iEImrY1io+SWD+lS4MaG71sGmURBPJ51+LlEcd4joLucyAHRX8ptvvrMryy6L8AwqymPLrm7Vgw4T+OVlEa7JnSsDaQ51vb5+5uD3Gbld7mUuS4+Nq7kdnAmrFwlhdPA6yzz71rUMwGrrUGQLIQM9D12ZzRVlq4+e451fP8f6E93uCGnt0F1GnHxspDsBJcxDFdA0/1kC1O74AAAgAElEQVQG47DP2CtZr9vlsvywdufe4ck/2SIPHt3T2mdPHn0Jq2cdVi+arGcihH2SwSbywimtv4wI+4ioOq2UGb93fXcs4z4acl/uy325U3k7Zha3lFeCm/aZzRKceHZSG7X4NH5GrUReMwNIBaAsknBZhG4XS4O71KuFLBKSM2C6Bl7YOZw1DdvSpWO+IVRLqbJJZYaiFc8RFL+4n62NCFHO4AiZCSUUZJ3JlZnEwu08ij4GKWBIcwIRST8mVz1TgjGU3rBYJEPT/wkMR65GGrK2Y86w56BpikBT5E1bxM0yAxHs5fOFQ1o8B2TRn2XkReUrSkTIFR9Viyrp16PpaLgiq/epxzX8xi5nr8Bz5EUU5k2TIG8rb+1gsfAoBRbWANT3IngLAH0nDmN9v1gr03olF5S+li9ryeeytKDtQdbUDzZA4qL05OcoeEbwReUb3oM2a/D5aWFaEjP48YNyEZBGaab3TkRzMuYyf8tDwPRAczFejIgbma53lyMO761BzNj8rixj4lmP7nJC2gT466mItIbDiHTSI236Gxqc+YYGp7A9aT9hNg3OZ4ZZyHQ/mwanitZef21T6M8lJV2jLGbdN5179FdJ1+CVgBX2GWEfCzBnbXbMGJ+s0F1LO+ezABAwPejRv5Rl02s1OGPC7iuybxoEcHWJVSlLmrB/x2F44Sv5DRpepA7dThS2Vy/q1H77fifRn738DuOj4Q4anNoG0+CcE178PGE+URp3gNC9rzwORYMThWk6NxqcIPks7D327xn4G+AnBWl1icgO2H6lUw3OUPrsxc8EbH8s4+SDaoEQT3SZp6WmpgN+9Dc0OOOv3z18/ZYMFoxXppXv9YZYgJONg7j36k4elq5dr5PVM3CwC4BzyL1EGcxzNHySxU90cpVV2QUBMu8AcKbegQYvT9GiP+CRBzFSTqtQLjg3d4gbATiLU3jnkAZf9CEKxbvvkAdp6xcBcIq8n+IxCnAKEEggDQXOGwLIw0+M6dRmZAx2Dn6UNTsAsfpzQHYd8kBImkcS1xIupIQ3AjhNuk5AWICyaEfYU3k+BdxECwanyN0zQOJqHiyKMTFSB8znVESHc6DPBHBODzPm51pHJ+FRyoTpzEBLKtGQeMp6XgxkKg7s8YRLvezk+MYAzd3tAOd8CuDJiPFqVQbMuAbA9XgFOO2BvP9RADhvKZzU49PyMpolAG/3gHIXaGeg4g5kI3GM4P3hUwHO8EyH3zkC3iHoPt6MhOYId3UQ1W71/nAA+PoaFGNt1/V12Q5UgHP1e9cyIzEPVAAheHQX+rTdz+jsRp0iTtRaz0Kbwye7miA2J7itTlt3B3SfOOGAmOy9zmb8dY/1ts4s6HIry6txQqehXbpWIFel/f21PhEV4Dz73ea4SQcvNVI2ivamdzJdnhJWqwqWCWg71wFoktkZzQmbKZV6u8sAJoLfTTKzA0p4uu9C8XkFgLAaQIcRfHlVVLhz76o5UajLkJPve4RdEpGYIgwkWb0uZWRfwUxKGWHfIW481t/fl/ZyHyrA2UrqB4c8hJKIZ+fonl7g3W88wOZjvca8RHm661SyWd1sAGc1PJKIjvJSxoSDZuWe/t4El4Sebt6u3El/p8HJdaF99s4/6bH9eIX1s7oEz4HQ7ZOEXjMXcSL2AnyGbUI8sfA88OHu7suTe4DzvtyX+3Kn8nbMLFj/a1K5WTUo0qX4cFQfEckc4rI8IXkKUb/wBfHvPAEfDsVXBACcd8JTYK6Yw/4gAOTpRmYZxpN4/gJ0OAhGpOFG2qxBDx+AT9Y1dOYd0jvn8Po9p7oQ8WxAuGRgrqM+B4d4LovI/lA1KsJuVBtAD/9bT6We/sviSXJ+Crq8Fq8SAPz8JajvML//QMKwqKBs60sCAP2zDrkP8LsJ8aGsc7unvcwQgoQGzUrQzHz2jwZ0V1ZvJQUZlgCofeGLCWmoituAuji+3MG9uL7xE+cHawQLO+p57378DP2ltCsHYW3mwalOpKaCrz3CboO+7zCdy/cMV6DINfEPokexfn5zDZ4eevQXCWnlcPat2rbx0SChV51BbH/yDFHrjitCtzesS5YhaSAMF2Z1KO097T2uv0ogpWBmL+zP1BN27+mMcstF5q+1L8wB6C+EqBVP9Pr5LsMd0uIpTinhxc9tENeEkwcBYSfXwvX7HtuvmY4o6W9D6C9rHxijNw2CL62eBUxnWm8G0v/1Q4dZ3FKOtTOdE3SeeYlDLLCJ5jshFCyj4BvkAKSFj6nxNcoa3ijUbRZrcyxWWX4Tv3HeV7q3uVEBhTTV/hQtpiA04YojFKzB188NHzEiWPm8CzetBoiQe7UaMP5WH6QdsdYfLO29cyD9jlRbiUnm/t16nRqWAKhcvdaXGq9TYhTzouPSksgKqWhF8KOt9RXLGQjecWFgxrVEXsRGoX5PVLGrLiegVgC7mxe/HEcIV+X3RSVh2ZIirhzmDcHPFZMAUDU8BxT247wWXCANR1YAAYX7YWAmmMpg0QKcHEQgmD2V7UnxqBvnsBGv0riqmFI8AeJ5rkZPUNwm1rbHlZ0rEE8y/OgwnxsY/yOCWdwGeHIb7jx+n49A0jZ0aZ3fdkyRwOf69w2Jfz7aR8JcnDMo1f1aJe+qVs1YSO3rMaqa9lKev2zn+vnCZqCV7FdZfGpCiUxYyPXL9gxEunksIiBZSLYhtzEv1b0bmf6FFUCss47l8W45Z/ussS5YSNmXY8g/Dho+LHkkKgKTqjR/kc9XFW4rbj6W78eiDhexaNvxNhcZfq71FyVuwwN8FaTxqkHhUoYbKzXbMbQfK5Xazaz6G3UbZSAnuqG4LeHoW85hNgZmjVK5GXAHWlC2/bikcLtG3Tt3YgdglHNKqCH5O5S3d7A4nll4X2cWxzL9xSOz+Y5zQN/Jv3YWMUFmARaWLfU4+aXb7a0FgB6L10OJMgDC6kybAO+9iN2Y0lagWmfTphLVcK5OodvtraGReZLaq33uhCpuzugUVMhl8JJEZDOLdUBceQRH5anMnbSTvYMj+Q4A8GYFZAkZFtVx41V4Kv8AFKdw+8yKqHU3fduU0h/2HjJVt3blXlXEOwJ1DBeNPi1P6XDaN8roBKhYRjuzEAXxmzMLe9rnpg1WT7strmo0ZHxQw68uElInA5kBhmJYJEsySdI6PhaXiIyoctv7+spBGJaUGsXt4MDh5h2cVjKziauqF5I7IK/qcQAUZfHaJ3X7/EgYt3Ft/A+8EWr59g4WxzOLlhDV5m3Y+2Mz5ZwlShCPHM45Awl1qmwu6nMSwpPt1hK/2mNNszyZjUQzR7i9oPdkxwRAUy51WqGpQePnVMhLmGPZbsekOUldc6yv9vkc4fcJbjRHb5HsBwO+kdVzY0LIIttX5P3nJPsrZuF0GWAUa3/IVUOzmAoxPKFsDwdf3re6MW7U8z1yjl/0h76XenLhMlAi9fekxSwm9w5hJ9T4ynuomEUr1x92vJDCK8dm6HeXFO6yTTELwyhs1lAS1xLD6UAUrA3kkCeRPwzXQRIBYZgFo9szuq3xLOpgYiO5DSphC9Eb1QeSH5vroilhK9hEt2dNxAPCFgiXbqkVGpbaoTYDdhHInUfYoib/aX7NXct9NOS+3Jf7cqfy9s4sbimfRgG/UQyraDELMkzhDYbTo0JJMITSktZi0L1hGz9vObbiYy6eEdJWBnnpgwKaZcjSKMv7QimPaUlq+wMopPRsaaudCql7mE2VhYtgVPEvtLBOzVmdyYoQUiV+LQSAmnZ+0WUh7HMLpnGX4hobxc9SfqgGi+JQ1mITr3IeM21OewXk1e6klgEKVIeudl59XCc5TdmmZYp7cDW3pMU3fEWuASwcw1o3LvjGSczVz839DPZqn3u3xAAcitiwpX9bHYUBuhAN1vZzi5XUeoseBRv+4opTGKDswtZdzLo8suJBt4TjGge1Yv7ckKfMpcyyJB0qZuFmae/SDUxSuBfOXR1wm7itOYm1WIucl24rmbX1+KkDXMlcraHOmsVZ+zd3aMhPGmbtqLiPuanFabDYL/dYOJVlT0WIqC25s/OjMrDmHsg9L34D2a8JnfZ1exrsO7JN7Bxv9teryts7WBzfqAZuAiBf2YT2fuF2DsjF31gDSEmFZwFjGRqVe+jkxrftViewPBagClQacoSuAU2zIlV+gJu6Co4CyEMo7Ll+6BDXWkdft5fBa+jEqrAPIH2VNvgSgnXKe3CFx1Gp1tB2lZwL084IzStzFf+NCcgZ84kDKS3bqUx87p3kgOipTKeuhDxLbggAEISVOt+8rEp/6HtA6dP7CnBKO1XHQ5/gcXBwo0RD5pMatpRoRWUoAuLrYXTs5bFFuGZeS5q5lflEthlQnAa1HvQCSC4tBMUjxU9U6jQx4vFJRn9h/argpQOmh/V3MSWs+cy2KTDpHPyBMCsNvFwHR2U+EZr28KLiJtNDIL83YXxRZQmmRxnc3AdJwcy0Ej+T+dRjfmCJftRgKa8vb9dg0eTkHwOczCy8gGleqF8tFbGaxJ9Z9qN5brbV7xmt2hSu3G7SjM5cjscm3dcci8ZZFKgMKJujUICjqneptF9RsmoAzlbJyu2mInFH+wn9ZSz1lfaMk7TTXvVz2k/ormb4XaN6paVvbAL8boabM2g/o7tSiu+YBKnKAnY6b8edwczoL9JNUtaBioIVIE/UTr0rin8KIAlg+wk03pRfapW97LxXL105FneqfTGJb4aFTimbUta0UKm6jZSVel98PdqS9lRVsHbViKq/WMGPrlC4h4sBfpK6U1dvSuNZ+IkwXKp2yCwyf2E7Y/39FdbPWoAT6LdcBuaWlNWZcpXOaoSUxQi6vb+M5SHQltWzHmEPrF4mdNfy+erjgNQPWD+t6wrxYql/V1KWzHSGF4D7jEpZ9wDnfbkv9+VO5e2aWbTlaBlCzXT+LgxOMqd1y0oFaij0czA4oQxOWxbAO3kf/OI7XzSDMw0ebrJM1ySqUX1lOQJA7qWtLubKp+i8ALH6agxO47H8gTI41w7+oPX0ssxJK3m1GUNcO1B06LrwxTM417Is8bPwKMr1pHRvW84AknnL2n9/MAxOWYoYHR14cwZnWjH8TCXzlRJ+RAR7byu3kH0+dV/vFwAneS+Zp29Sz1FhGxQaMlcOTvJOjED1B1EarNZASzGraUlSAkxStwQ4OQhQK65r2hfBA/kPdqIprm3Wj4INMS0BOnEyc4ub/Attj0MxH8q6YqGs7aR6c9k+rSTAF9o2V4+f+s/2O4mHaqPo/YYBprdqsKBBknR4jot0cgALTU5u0s5LCvr1dvkd0+lUjU4AoCePJESYM/jpCzmWJqS5JJYApq2ZtE4Ai2O5kw3oai+Dhh7HX42S+k0EfngOAEUjkxt6cauRSVdb9JqUxLs91tpG1lRx99Fz0fWcZ2mjYi+834OevkCvClQAYDqfrcYnoJjEHEBTRP+JrrVfXguoSQRKGe5aNTgfnoKmiLNvvSw4TmGjele0MQGg/2QA7STRb+iaS2iOwFXz2zSlB4pmqJ232583quWuaFrAVXC6fyEzHHZO2gYUncySQq9l871V8X9ti/m9cufhPnpetp/NSbY9vQAgSWFp8HApYzrvigiQqZiLnqd6s+q+HAhf/ocRw3PVQ3UyaPsx4fy76ik6phI9KzNLvWnDPoHmOvMbPnhZxZaa8nD1rrSB62D6pW8ccPidDuun+7JfXAeEff1+bqJWV18LOPkoFnFhMON7uxuHemV5qwYLyzQFAH9+LpoWCjKyOqSnjz6G//mvw70UPQp+dA569hJ4eA7/XH505AQ+3QAvLsBnJ8BeTjN/76NS/+EX/zAA0Y2Ac9h9dQ03cenIB9/okN59IKbEFzJo5Ien4Jgxvn9asi0337nE/sfPsDFw9vvikPvRv/GzWD/PxeQWAOZTh+378r2zDxIOj+X9yfcTnv9sAGXga39f2vryDz3C5nsjxscdVp+MGB/LDXby/73A9c88wuGhx+YT1bEYFR1/EHD9lfqke/A7M9LKob+IuPqaXLhnH5ralIMfM6YHcrzzf/wBAODbf+4nMbzQ36AoNgkS7/WaPLzHWH0iIbxJxkYQA901cP6dyrQ0Y2XKwMuv91g9l+37dwTMnB4AJ79vTE2pZzoj9FcMp/f84Qlh9Yzx+JtX+PafFvHmeMqaU0Ei7mKz9p/aIn/wQOz8bAWZAe4Z/dMzxJOMd35dGkwJePHzhOlhxrvfeAAAuP6qTNHdSMgDI1zX2yN3wPgkY/39VWkDAHz5H0b8wn/+/+Dv/YZcT25IGNYz9p9s8BM//TEA4MMX5+j7iJwJP/ZIBrx3Vlt0LuFbL9/F86sT/NQ7su93/tefRLeFuqjrsT1w+XMR/eMDwq+flj7b/YWX+E9+9tfwX/zWnyjU/J958gm++fH7cMTITHhyIqPB+yeXOJkH/L8fvYuvf0mu0etpgP+Nm4Prq8pbNVi0hWNcJP1wQxii3aEMHrQ7gMdRXmOlRNN2jzzNcPp6XEf/XGcUVyKrNwyytu9sujtOIn4zxyLhR9sAignd81DW7LTdY3g+gLZyJ9mxTr8f0V2IorUtDcI+gJSsv346wZtz9rMRZx86Id2ocvPq6SyyecwIF4fFua+eTvBjh/6ltkup127qoc9wqff5iNx5+OsJJ7rc6PS8w+BBY9Lv1IH69APGcKU3+8xFtSmuSWjJAMJe3MQpM+aLuq7v9hnDs6lkwxYH+cQ4+cijv9BIT5Tzni8J66eaXt9ZNMCh2+VKaT54DBcJ7nKP0w8ktzquLTGMkXoULGU3nuLkkzplt5IDMLyUB4GpcFNizCc95ue+CNdQFjUuibKgULgB4U30F65EPQyjGJ6P+Hu/8Ydx8ttVVi8NK5xeED7Yvy99fuUwBRnUvnUm5/DPhgwQw18GhD3wW49E5vHdD1miMKrlCdhSLGA6P8XZB7n02YfffIL/dP7XcfhnD8rp/uMHD9A/98UK4IO1DI7fWb8Hmgn9C4/f/EgEkigSDrt6vbyu3EdD7st9uS93Km/tzOJTgcIWYDTPEdcwIrmyG18FZhYykmWXegJnWsTtoetPi8SwHbdxQDdg8bi9xnLkxuuUvZJzCEXbErD3gPotyrbQHOuW45lTNwBQwwptiUQt27ToFvh6TGoySWu7GzKSZoBLu6mkO+dAyF55L3YFsXAMjEkKoFDPCUp0KuxU2Z6bduWGnSnRBC5/i0v5ceYmARCeRaHc9eqT0QCR4Ib92GHRj9kIVNYG5Ug4jX7kpm/YK+Gqyby1fnRDWtgXlmP1tsTiYrnIg85W+gxyQpTKicB9jTyxanY62G9ldfKyz3rGyTBh11d1b/SiHWszC2sDeiFr5Y7rNoc6LbtDeXsHCycMwyr5T8vPLMSo/qMS9WiQadKbnJqbfVGHvg9ebwYhGBekOQRhT+p7ABIWTLmAWHacdrCwY1n6M7Er+5YUapLjlAtsELctyigMwxwIeRXk4ul8iVpw34mTV9OG9jU3XWD7vGrf5XnUtOdUSI4mHiuYguXk5r6GL00kxsyIc3BVid00GhSUM5wn9Rr1CFgMIPJKgjk0tHfWB4E5kuUeZRBLQ73ecy8+n9ljiVlQZWcaw5WS7JtWKO0qA6W6leXQZnMu6eTtQD+sZ6RhVftvzcg7KgNDHtU7NQPQQSGsIogY89ohZQ9ayXWeVgGUZX/T08hKDeew7LO8yni83uGjTS64jV9HCWcr8c7a4FcJifR+0TYw0Q82RZ2I/iaAPwngY2b+Bd32nwH49wB8orv9x8z8a/rZfwTgz0Oytf59Zv77d29OU1LCUjimGQEtbRsAGaOz2YaUgE4iKhSbyEpTh6V3W8q5P0RhDVpiUIzqaZrAxgKdZiBJangZkFOS9HI9hh0r7LIi3Wkx0HUrY/XF8lT3u4j+ugOYiwhv2Ce43QTvxNHLGd17nBB2Bmxayrf+HRy6XcOoHMX3xI2x+pdaWjvL97xFIFQAub9m9NsGsyBSzQUgjPa0dxgusyaCNee2Z/h9rH4XJnaTGN22R6cenSX/I7nSrmKZqH1nZsXdQLLPHNFfacp4BCha2nX5GuLaobvkMnOTH0Rusv5CQNPusp5/d+Ul7VsZkTZgi7o3V1k9aH6JE2YmgJJQ5seE/ScbnF7YAwHIO0J/CUS1XeiudVbEwJyUWt7LDd1dOYQdYWTBDvpLSbNvAU52Yr8AJvTb6kXbP+/x2x+9g/6pL4PFPK3Qv2zo3kqnTzsPPwPdBYGdXkuRRBzpjuUuM4u/BeCvA/iVo+3/DTP/l+0GIvrnAfxbAP4QgK8A+N+I6GeYOeFNiwm+3DKz4KEDDlV8BiGIyM2+WYasBtDhUF+BCoBCfDkAoDtEwAHzeQ835fKU6b2Xur0DaYdzF8DeI54NJdTlLgf57qVEK0hDieMjzfsYq8zdfOZxeCzajWHf4fDIcjAC9o8JxFRCsvNpQLjuMJ91cGNEPJF6QxcQTzuMD0P18dQ8jfm8KzZ4ANBd96I07QjjY7mr/EHamQcPN3rMqmvZqTL6/l1X8i282u6lnjCfVJ2E/Xuy9KMs0QtAbr50zQjbJuTYKI0dHtYLenwg0+TpARXA1xKeplNCf02FGLZ/TGDXYfh4wF59OOJGB4tZZxla7/5rUW4EhyKjDybkXkyK4wbFUpAy4/CuyPWbCvfuPYf5ROvtUPQorH3Tw0rhNhLV+Xd7/MRPf1zATO4ZPGTEZwHupySKtn85AJ0AnCePBAjfDBM6n/DR83PsrzucvCNRi8O3HxRz53aw2H2FER9G9Fdd6bP4Ewf8a1//Tfzq9C+UPnjy5BpPPz4va8D+RB4+55sD5uRx9dEpzr4kOqTTFOCGu9+ar52EMPM/APD8dftp+VMA/g4zj8z8bQC/DeBfunNr7st9uS9vbfk8mMVfIqJ/G8A3APwHzPwCwFcB/KNmnw912w+0UMoF1KKk2ajHuo9RTYnt9ajYNJdyBrJO2edcQ245y2dpuRSiOVahXED+HlMh0nC2kN8yIQoA3OjgD/X4Znjj54xgvBqzt5vlnPwk5CNviVVJ6gz7qmhl7fEHj9BMnd2YAJbPLQzYtt1NqdCtLazcqk35ufIkmOoyJOxItB4TlzU8sSRE+alqZ1CSsDGljDBWXU0/ajr6toYnbTnDjrTvpI5u5xH2orJVFaCoziwa/lK49Ag76MyiWYaMVPrXXNUoszqFUaM8JU9jNwtQ2ipOWZp52NYZi/Xxhy/O0V1Z9iwjj4TummRGAcBfeVmGZGALCVseVj2IGOmyh986bDvBPJ4cWPktVe+TdbkCCghbLn3GFz2++fLLwGVXZhbP/QncZSgA56S40cvJI88e4SLgqtNp0UzI6e6gxWcNnf4NAD8N4I8A+B6A/+pNKyCiXyKibxDRN2aMr//Cmx9g+XpUmMrvvQApF9tv+55TtN+Qf1dfWwDVaMMApJcdCkrPHiXSYhRtiW4s2yevNRLTvs+BahtUU9Pqtn9QVJ29K4Cr7Vu+Z+1UENHcs9i1IChK9EXAxuZcFv+WdPNlv6FEsdhp/zfamFZ39jVSlDW123Qyqxao9Gd7ruyVzuyhddR/ljLOGomyf7af/c3B/lHzvm7L/nib9HHfR3Bg+deAkegY6Fj3ZXDHcH2C6xN8SOj6CCiBzIUMF7L2Tb0O5Z9oZuSel30WMk7CVI8dGD4kcMfgLoP1+OgYvpPj5r62AX3+4qMhzFyokET03wH4X/TP3wPwY82uX9Ntt9XxywB+GQDO6fHNFt82W2hLbvQxj3Ur7mACW/rIVLlZ3i+2J1GqLpTtT2vPbcfI1r4mFKmvx+rcpmBUlKsYovSs/WBeqgvVqy+g0FEfiMGv0IyLKhRTUbAqClKMYkJctDYZIEj/LlSxPqvoVaNSVZSqWuUn28ZHA36zb1ETZ2uz4B+fp+RMN9rQmhKj+buIIGcdeFWxzLabhytnwNklnjWGfVyYENlVpXndhqxRubYNb6Jy84rymQYLIvoyM39P//w3AfxTff+rAP5HIvqvIQDn1wH8n5+pZUcAZwl/AgICumXoVLY1AGfwJUvUwqxt5qpx9L0XVDoNmvVopjn2XU24KscCwL0r3+80A7Rrs0KhmZmaQVmOuXLiRanHmTWM1w/iV0GNGE0aJEMyDR5BXwEAziENki1ZzqHUX/1A7RxT7+DnXL05e1c+86hZo3aO8wkVqrX3FuZVf1ND3E8U/GMUcxy7MNPgS75HGXQyY14TggLFxbN0Q6VdFhaNG4lIWMJv3BDiQfoi2uz5VJYFfq7AKADk84j5SiidvOh3NfLZoGSuEjPmE6FtF0vBDS0AzvbHS70I15geRZsl+mOPXhZmJg8Z6DPmFAqYucUark9gJjx8KKDn6TBhCBHfzY8whR6PdHvcrGD8liKmS8B8lpEfzIibofRZ93CPf/HRd/FbD98vUjDvPbrC92Kdom4U4Hy42WNKHp/MDu8+EoDzMAc89Xcfue8SOv3bAH4RwDtE9CGAvwLgF4noj0BO63cB/AUAYOZvEtHfBfCbEJ+vv/iZIiH35b7cl7euvHawYOY/e8vm//5T9v+rAP7q52kUAJlVvGra76qLuqSM307KWrwet9NINabvEAiZXZF3E2+OINL5reZF/HRSlhVx8lZdT/0oqxYk68yieEgMTkOAJCFg3TcPQdamna8koL5D7tyCwdkSm26Qsnx9XexreMRRhrWxD4E6nZf1MpBSJUWZk3ka7GAoDuY2W3FJeBqURUIuFek86yM0ZKzltht/U/XWyL09erFIJHOrJB4eBLCvSybuWPuTy1PZqVdHWrFoV6ASr0QZqxKwrH0cuDJNzefDEd5ZbSXXAwD6jLCKSL3HZpCn+mHVC5aQCae67eFqj95FnKw3SMmV7S9Wwn9gjwK8shd8wnV50WfDEPHV/gVW66nMLB6u9vikP4VzjJyptOF8OGA393BdxqarWcHuR4LBaU5ct1iEVWoAACAASURBVBXmI3cy3ddwjJQK689eX1Uo57qe42axmzPo2Ask5jI4FDBSAbuF6RFQoghgBqHWb99rcYeFd4OlJzNkoCqOZ7rvHOXm87UNC7bjgu6NKirrjwYWAySLnoQ17JVdVTEDYlCSZZP1l2AAgln4QsoSzOIYqyiMy4Y+3Q4aMui1A6ACuQWQtkoarAAAuaq63q7js687+bn9AoBcVbyzApE50WJgKG1tBhAOTaTCpXJS5BhELIQrb0tohvfykBmCpvm7iE2YxO0NdV8otlPwGEi/csfourTos+AyVqSJcdrU3kV4n6VeolLvys9wxAhdwmlfAwrO/SgMFi0hC1hK7KseZ9lOSg1vZhakmhjUaGO0dbgjIxc3SaajXQSCvstMoqhpOQeaZvh9LEa4mCPCvjET0mN1ezXBiTVd2s9cwnEu1vAgAPgDV6Up/Zw7XxSY7YLmTlLZ+60wRAFU85/OlRAeoFoJGfD7iH4r9XrVOqAsRkHBaOQ6IIYtECy8O3PRUGBfb7SwkxuMotjlSQWCI1ACktbZStb7sQ6QpvvYX6CwRdNUb8zumsuxcu/QbzPoEGt4maiwOKHWAQAwXfRYb03F22YWgJsd/IjFjJCShk4bUld/AbEAmGVm9/+39yW9kmTXed+5QwyZ+eZXVT2RYnNo0lwZkAEZECBI9sKAAPsnaOsfYXjlf6GNllp5a8AGBAmUFjIgwASaTZAie2DPVfXqjTlExp28OHfKfFXN14PUr8k8QHfmi4q8ceNGxI1zz/nO96lF7hLvJwSayIKQ2KjUisvM5XWkQWgYwq1vBB6fc8Wnu25gpQY88L4/AgBM+wmIAq6up3BzhU8a3lcbDmx6WV4iQQHNuYTxPSbVmJ1dTvCPN9/Hct7mIPrb4hSryw6xdAYmsqnNhxbDWsOc9fgVHnC/rMT6OeTKL7L7M1kQbXoSnqNcuTy8Ilkh6zIugKwrS4JMsBvxET6Uzy3LhLDGIYii3J09BmMg1oZxGlm1zIIsK3ql+geyjM+gqMKVcBZyZMyBGH1+ewtF+eESJmTcglw7yDVPAogl7nIdYdpa8Oda5T6I0UOuqQQSbcJQeEZdpnEyHoIIZH2emNK+JHh7njQ38CFlQgPxEAYByBT4HPg/4cLGkkWtA5P2pv7E8nwKfK65xH0IsZAMGxMmwHUU0pR95Zr3IecyRiWhG7MORjQ5l1nrs8ZZgLi/rqlxHQFqJXlSSOpqa/a0hGHPqe4beUAOZVu6pmQ8zm+meSLzjuC8hFoSVpFYSC542QgPjIrXYM5xmZibK5ARWN3wem6yDDy2orwgvCXIFcsWymocMdd45+YEYaEyTmWhO9BC5TWkjdvnnuBHCbUQGPu4DjRcPHlXux+TRaocrWKh1LUIo4F8wIQn/vIq/1vo2wKC6lvQcsVv/SMmMcFociYDdZaksgSfFusm/i0hjMiR8XB8AHM84ZqRJIy730Ncr+AbWXFasqJ5SJNZPNZ6jyn1xVgyImYmGR5NQDOXGGexTmQlYfbYpfZHMwDA6lSCfMfQaEEwe3w8ddljPFARNLQZcOBsS+U6txKuFRCjzKQ+iXPTZw7NmB2IMaDxoLj2wpRsiJ1QfljHfUSZQXC/03URwOqBzqAu8hyzkKPHcEQIxMccDrldryn3K8UxzIRTtZkwaAKogYvpxnh57SSKBBvAt/nwcMcG46gzjgOIKw3J31wXMhyePLB6GGCnAcNBzGBNUzYkxkfq7FkDmFlh4c5cmq3E66dPMh9FaDyoc1iHJkO4F7pjDEWgnPWYRbj3J80+VjctvvPaGQDgyYNXoVZxcl6XJaPZC7AHFnaq85ipkyX+6OQ9vHt8kh/6l46v8VE4zO/e6ZTfTgf9gOuhxY2ZYe+Y+zCOCuJzZEO+KChrZzvb2e+Z3Q/P4nlm7G0x5Gh0s8yVoDRfIqxH0M0C6Nq8b1gseQlzdZOXMnUb7ceca6ZhDQiB3nFwLrNdGwu5MhDzdV5iiMUaOL9CY2zh4Ly4RhsCcHENAPlYB2+vIAdbRIsBNBcK3TOG4urrEd15jCMsLQ5TYCtWkE4/4diIXDnIlYFaRg9gtOgfDxArC7HgV33qnz5v0Fz0+RzVs3nk5hwhF/wqTBSBQcnI+hUZnhb8Fjz5mSlixb4QvPpGZJfffipYQNmGLDJEjun95MqVZZfxCMTLrAOgVEvG9b0aHFRk+0Is0HKdghxsliuczBrI+Qjx9BKnP+N1ve2IAUshVrBGz2/9oUZ7HTaCgFw6D8jRw0tAL9PSLUAYBdsRZh9F7Zj3A+NEonB0FqsGt2enMuu7uIoz8zf/5zt48GEKkgq4TqG5DhjeZVfoJFaRkos4CnDWA55jFJNlwJMHXBVx8E6MnUkqYsuKsPchYCYSs4+GPGbLnxzgr9/9E0w+KXGbi26Kg3nIMQvf8P1wrRnO/mgeMM4O+To4gK630mGfYfd3stiy4LfiGfl7lQ2pzTkWJoqf222IBPbyAQGc+cjINyBmV7DZbsq4GJsRlcHHIKrfDKKKMZanhwBKdQTkENacZiXni1q29aWmIokgxQxI0lbNQkKeswtitIXYNamWC4IYSs0298sDxkKMmyJGFEIRRqrGVK59ocWLkwUkbaCC5ToGhG2AqB9K47m/KbPiA3vyofo38IMbCBCDy/0KMXshAdDaFLToICBGPo8UX1EQFYK0PChecz0OuULUg8C1FsIGCFGk/4QNmWM0xQbEwCX9TKvnN9TMk6RgEgDKGR5joRfIgkQsWcn1LUmFXY68HBN1VstSmcgGlNoVw331QEabirgdQWyMmV4E6GvieqCUObGAXiLXhrgUKNZMP5D6BOBzq6jf38niM9KdNaENKtnCzNAk7zBb1oQ4aX+B/IZDosmXAsGn9uVnZha3+x+EAHlfJAMTHiPWa+Q0a0XVn7U1BN2WGATHSMJnjc1XYakvAPeBsEHbHwSxpxF8SdW6km1I2RDpAYg4n6eaGsRajy8gmVCnfVMgKGl0pO0pHZxiIOQ4YFozk7EJJH7R5IV80TV5nTpPZEF1bRDXzPA7rejQRjyH5Lk17yuJEeC6pMFdU4rdto/L7F0oEieCEChm4Fx1Ul/BLXNPJovoHdRbTCTsXQ23d7c2p/rIyOJFRNLcYO8wXcZ9KFWlKslv9VgoQKs1pFYsxfccavvfZmQjTsMVbwEeIOU5tz86+PS2WlsIo/lNM2cXUzYKYrD8Vo+fAC+bxL+gVgX5UOj5A0Ces00CIhMDBUE50yNUSUUK63npld7Uo+WJ3fDSJFfHVuLNn8dyBa8QPJbp+UkBWVsqNfMb3Mc3qA38Lli43JbXGkGELMv4RU1YlHMGixSlbA3/e4jp7/ImFybkvgkXcjBTrXyWZczEQPb505hwyNW3OSvUBAbDxfqdEFO8X4WczS7AubOd7exOdk88i+fYFihrw2ppwag4RtU2CgG3nbbntBF/H5IqO1FeMnBxWmw7BTPvsryp26dUTp3ajNuI3ftccq5lcbGrFGxoJa/7JS9pAF5i1cuSr9oCVcAlH5dAorjS3Dew0pmvhImJ4D2v7VOxWgiS1+rx3FO/t0mC79y3mmwYfI1rct9ckq6QqfvIxZhBLG33lZpXLl/XKUj7xTyMXOqe2qxK5HO/iCJ5czkXCrHk3BY0rlcUuWApexS+oVt4FABFQS1yZZRtlJdqdR++rN2PySLE/1XBxZRV8NecZRCTCZeLR4rnsOQlBwmB4DyICO7x09ykfOURxHwB2ptBJIzGRPByxwf4SSQmuRhZ4/NkBlq7HDPwzy4gojKXj8pkYjZFOD2GPehz1kRrhfHRPvQncZ0e6emWJx2ay3XW9AAA12sMD3gxPfnYwxzw9/bxMov9NG/yOdDsVahPL+GO9iCuFnBHXNWIZxegSYvld/ahrzjSncBPbqIwnJQA5+RxA6cF1NJifcLn23/a8A2lJcg42Bn3oYvl+ItXNNqrWNuRg2MEMxE5k7A8lZicOXitYCblLtRLgr7w0JfXty7x+rRHE7VJfHw4b96YoD/nfrmGlyasS1oQnONMoLnpMWkUVg94jFjbgxGlrpI6XLxKmDy+PREtXlLon3nYnnDyZoFlLl7RWScEAC5+NIGdcHzAdYXohgmHuSK3exZxORN+KA+7B7j+kUWIKN8ECR/3JZav8O/1TaoDIpi9GAhVzDfRnEvIFcHs8b57H8YgZxWjkOuAp/9Ww8wC9t6boL3m6371BhC+N8fil7O873jk0FyUl5rruB3Xe4Teo3miMB6n5Q3B/sPvBNz7M94+SpUAZ/quFG4xgAMF8LVlvougLFVASkTlrShTm8DGsSBiYVcWFBb8ttrSObW9gFrJrbJ4LkVPx0vgGt2pvD15L76VCErCdwoifgKAkPzd9gJytVk45xoW9s3nqLhvIYoCAxUoq2E2c7+lm2mmBDlGuLaqJwtmKgcYvGQXsaR9Uo5HQXB/x9u3VRqP9B3gBy4JGXvNnovtIygsjhuLG3FGxsRyeH6gAW+KBwEAZj/ALG7fNwzsItgJZTBaOlc7KazjtucydmEia3jFQ+I1l8anrIWZ8uQWBKE5HjDuz+J5hEjOS7CHMWhBKha/Af6A419Ce2jtYHwPrwXsgY19lc91A8wswEQR5MSGZg49Xj+9xHufTso1OB5hKqSa72OMZmr5eIOAPuRJ21kByG/oZEFNVMfaxlgAIKUQrIXYmyGsVoV8N31frTZ/Yx3Xinifg6d0sM/BTGMYgwDGaQCAPms4rRiXAbnN9D0eC10DOV9nklwYC3UzgtYjLzFmfOH6TwdWFKt0K+WygXB9PN4yp+bUszlmSY08BnT12RI0X0IJkT/Tv6tnc3SdhJrHwKv1gEBOTSZTCxOp/Cy68zgJ3kQltuhZZD3TSQesR+y9b6FvIoYlBTQloe1kDgSqVYPmgr2utlJRl4ODejYHrW4zn/WfdjweQJWS7DJuIXkbbk4QY8jpTLkWzL4dAvbejxiHqCSeAoH5+CuJ/vz2UsK1hObKwXUC+qyIe+69z8rs7VPeNj1QGxIHid2bPBeVtReE7pLbtx1nUygA6qesFAYga480C4/mRsfrUPppo0frI63/5Io9BzvlfWcfDTk9W9veexPYiUR7GTKk/+AtiQ+uXsXhb8p+436P5rpMAC5KS7hWw+wF7J0TzBPG3GgH0HD39cm9mixq28BVAJtew2hycRjF7zSazd+EwBDmyrMIWjE2Qal8Q2dw13LgCSY+3D62CWDjWBAi4yeSUQBPQgLZo1HXQ2kzmff5oaflkAefVusMtEnHEssBwRjQap0/U7/Eas0FYanOw7NwMFkPPbclbJ3X8pSLzTgzEScK6zOrle/YQ2suR8hFrMepJgu51pwZiuebJh25rnAd69jf8bZ+Zh4PlJuumajSL5/Eh9nDSMdWCxc1PhSaS243NIKXDj5seaANmuvbmSunBUsvNCL3AQCay463RXCbWs5Anicir0VeCggbWAph8Fk2gKUTBbwmTD8OWVIwUQLIlcss3Grlc9o2kxDFatpmwXU7GcJ9uS6YmMra6x5qFXL8BQCmTxwoCEyelJeEXtAGliJ5Xq4BbpRAexEgxhobc+tQL7RdNmRnO9vZnexeeRa1irqYTjnQGd+0Prrn/vETqO9+B+ImBqoOZhAXV6D9PciUSXCOsxnzAdQ2eRniP/g4t+/+/Y8BsLsfiDC8MtvQDZmMBuFwD7AO8pqXLOFwD3Ae9rDPa99mMLAzDdHHdeITLgi6/E//Bu2lZYXz+PIzM4XlA9bM2PtogvUht9E/meHqew0QgIfzRwCAxRsn6B7vYTxs0TwbYI4YJty9pzC8foL1kUL3LK5/49vZ7DdYPCqXdP/9NVP+XQesXoq6JkkWsOUSdbPPS7/+/7Ev++Q/fB/tJS+lhIlVp5rX8mm9vnpA6M56kK8KyQIjCmcfTvNypfBYBFx9b4LugrcPx3ze632B6ZMo8BPfgGZGGyXqw5FAd+Gx94slPv6PxwA41iEivqBWJFt826H/uN/IRFBgWcPuvIXtgZMjHl9ywMUbCmYGnL7JYzB/ian7Eq3edon6eAh0UXckUfw9+qcBy/96iQ/figWPTYDvPJrzBvYPol7NVYOgmDdFH/Igtq2FEh5nlxNgrqFOeCm0/EmlG5JK1ImDmebQ4+Atmcfsoz93+NMf/xx/97MfIqWqpidLLJ5OMtxbTNlL6ScjrJE4e62HPuU+OCvh//dXSKv3dRlpxWXoaQmQ5AoB+FkHkZYLs56V0qc9RJxQgpAIXQssVP6s2wCA9RG7iGQ6gAjDsYIwIVdtThoNe9AxXX4+VgdYj/GogU3KYpcdhmMNdckPs4hB0eUjgSAV5LoQ3ox7AotXIqx5VBhO0oOmMX+NkYh+xjGN5amCMB2GIwXhAoaTmC151mN1qjEcExCimzukak6J5cvFLW/mGrYjBNlg+SBVuMZofiegBsniPwAmsa5m8VqAjUFLuebUW+KfVDF4OLzs4DoJsiy8A/BDydBjDbUu2ZTElLV8SWRXnEWKgPVhyEHTVO077gPNNUHGytXVQ5ZEnHzcYvHtyH2x50CjABmC730GYH33B5/infYREJmyASB4gtAe81kHv2fRPYvX3QKLb3ngZI3Fk66c+76HGAi+C1DXxfH2TYB/OMI1PE52n9sf3tH4bz/8X/jv5r8AAKbtiON+iV8/PsV//sHPAQBvXb6MqRphg8AfHr0PAMxwRSP+8eb7eOfmBH908h4A4K/f/RPoa2YXT0TCQXDW4/XTS3xw9Woesz/98c/xV9/+e/xFINjIr/LHR7/G35z+CEp4WC/w+vQZj03/FBd2ir998gb+7OE/AwDOzAz/s6tmxN9i93ayCDGVV/6uCsmWayDHGtYI1oGGdSG3CR60HBBGkz+322gvIm/EnAvJunMFsiGTysI6LtYaS7CV1ga0XKM5V9AxiyBulujPGoibGDiLx5p+6tFcu1xMBYBVtoIECOjPLYSNxUiXFtOPNUvnxfVqd+mgFhYtAXJh0CYE52jRXjnIUaA7jyxJMWAo1gqgEkPoz8a8Xp/G/jbxN7oRoNHzb4Ccqp69T9BRJpBh0pz7t5cllSqNRHPJ691Usk2ePYv2skJwRj4M8gGTxxLtVbqe0Su7Ql5vp7X1eEloFiV1KAeB7tJDXQ2YfsCvc9uLjF7MBMsA3jUvo3/MGh01rR4AlhPsG3QXMc7jAqYfSKxvOvTPkgdEsBNZPItlvfYXWF906M94m51Er/Bshf/xiz/H8EsuGls2AY8nHs2ZZKUwALjWCIo5Mn5xyMplXc/XYTlvERYK7x6zZzL5hGs9vESOJwQFLH45w3ufTnD4mzJmf/ezH+IvAuHvf/GDTH7z04NXsTqbIPFZ/HTCZPttbzCuFXDW4q9OoxdkBM5WP8Fd7d5OFgBwqzjshftxEVYOcN7ld8/xvihJAmz8HQp5zt09ttKPgsMpkNzA/yX3mULZlgvJEiVf3K9myr7zuHxB24BRp/+w+bndLwqb23lbHE+/2Q5VNRKfy8Lm93ysjWvGxyvAMmSXfGN862uQx/MLgsUClWu8cS2rfm/dmiHBinwM6vqqv55j8vl+edF9lzyKSooghC92DnexXYBzZzvb2Z3sfnsWFaCp1g3JgKu0D0WVrVSM5gPjJaQsn1UbQHFflWDYtWuYhTuzeyevYpvur9HwXdHx0I2G7RV0ZOVOxyo6Gb4AjDrKOhteUwZQNZIYSRiQ5RJdQ0h8DYEAl8BTnvkxzJSgVpEPI0bC7FRinNXAMAXXcml0AjQlXIRrJaRwsNNN3ZBxr7i/otYNmRISpMFOefnhZYDr4sECBw29JsiKezMQQ7MZtxDTeC0AAsZ9yuLDifk7MYklCr9xnyANwTcKNmKPzF6AHAlkAN+GvNSgoxFm0fGf1QvWtwFkBOws5GvhZYCdArZHjqWM+wQz4xJ812KTsFcD45HPgDUzK2P8xslT/N+DSOPVeMjewowdTk44MH4up1CKyVQfHt0AKOzeb4tTLHSHl44Z9XrRTUE2ekYRyBWIkZl0PGLc7/OYTU+W+OOjX+OnB69mj+L102d425/mfu9POY53MllgsBof4AjfengBAFgajXN1d4j7/Z0stti9a7LdmoMTzgHe8bYqZpHJcyqAV91GjtiPFkQEtXIQoy8uuItcktXvKX5PvAcAgNFArWypTE2EvUsmgpHG5xoQLZNmJefem4iCVINDc6N4JnQJ+OQhjGOSmdFBpf46Dzl46IXg46LELJQkNPMykaqVBVnmQEi595qPgUYPleotYnyouWLCXIBFfEJ8cMkXIl/XccaCXfw05oBeAHLwhTTGh0jEHdAsAlSEi+uENRCoOB+Q26ljFk4zB4MYLZqbeP09Izg5G1K4NsxZi+aKNieLwC+A5gYQjjLJMQKgb8AZikzKQxVh73bMghBIZMBTIey1eOvJS2jOIzJWS7hOorkUrGYOQFwrWB0AjywA9LSZQUqP1SVzZn4UmJDmYB4iH0UBpgVBaC4kjG/RXBdOisXTCf7m9Ecco4j2tj+FOesRiHlUzpb8ErvqOzgrgbMWH4BJg70RGO3vIPnNLXseHDxrhdxhdVXpihQ6/PySQtLWJEvFkxHEHAGfo49coMZ/bnyvCrPSd4rH5X6VdXeQlc6pIHwV3AQvtOpBy4VKlKDNZZ+EXtwoOktFS6lsveJPDtXvv+iyelMKAFmntN6eJoqsh1LFOQMVb6EWHf6y/CCiUkALhIpDongGgcKGZyuSZADPpsWJjv0MssQfXlgERiwHsK1XGmK7AaG+zb+0fXMni+fpfdaexW+zKtKU2YLqcfe+cFH4annzOfvIFbDx4UkBv5ghyIHA9D2gHCtUOIVI+Zf2/e0ltV/C6kBkDBYmfZA6QJu1WXNQuQTkUmFWGq+kn7qtG/J5bTvwmvuwFXgNQLmmgR+8FAx9Lt/Fl9SO9aF4N2nM+BhUtgXauG7eU6VHSsWJTufj6n694EkPgPX1Gy71gWtyqWr3q4iJfyMniw3hoFwKXscxBDNoCSqf220kvYxYku61YJc1rVOTZ+FFVWJeSqx9LmWX/D2XzJeYhNdi48HwmrKCl1cElxS2KmandCyvKbM7BSU2RIK47dKHTBnfiLz252PEQrKBcmoyeVFeCabyj7GQ9NbzbYkfsGZoVO5qSym4axmkBM/buWFOrXpFmRAH1STsmtKHBMByLW3AkVPbzgDpAXFtHAtZxs610SOQyFIEAOAnDq4V0eMoLoVvA9ySclupv67lqsy6P7aLJUUaG0JFrgFcH/L52q6M8cl0iQ96XnKEJiC0Hm4l0ESd0dEQq5mHoj06iezeZlSwnjILt296psITyMQ1QXA/fe/gWp3PQUwtXp8+y+lRgGMUZ0udQ23NxOTtaytxs1DYm/F6chzV5xIZ2mVDdraznd3J7q9nsUV+88JsiBAxKU3VwiyU7emzagNAflOn3zGJSnnT5fbqxR6xpxK0yFWSkPF78mzisVzkUPS+tOEV5WxL8g4A9m58zH5kLkfJ3lNIhDnJk6HCMZn6kCHcmjZVxTUXOgUt8vbkUSXymo3zReU18Eawvgdv8zEG4Vs+P/Kh7Bt4vySXGH+dr5nTxWtL3oBrK48i6aC2BDemX8W/m4AgZdFIbQN7cFRprQIQEwvXqs3YUwjwbYheXZEkTPqrvineFnsayO2Kqp4r6aImzyJlgbwWeGl6jd/0D3lD4yE7B7eU2J/wG/xylJCasyGHE4Za77cDOmkwH1rMPeGg532vk9ZsdesFwXwUYmrhWp3HoZ+M+G7/FG1fqsFOJgtc9V32LLazIYtph+PYh6XWHPO4o92vyaJm1o4IzVQvIg4PmOQmBM58xOwDGebjJOczSQ0A4OUHoNmUoeGJKKdrGe0pRXbdU9WlsMxALVNQcbGEiOnQTLTTNjCPDuBameHJbtZi3JdoWw1IgoxCR8JxRF9WDNGuLUQrch3y+lmuXeaAoFiHopZHkNcDVK8gFmvIWYQpz5dQq0O4RsFMqyWLBMxE8M0ch3HclzA9T4SZC6KTvIxqGMqdyGvcKyccG3EldVp0QWlDqlCMyEJCrqpGlyPL+WV6/8rUusvU9mrgvqx06ZdruT+25wBpqoy0E2AcCcNLk/zwkiWIEbcqJtdGQpvnLDlViNkTyiXxPO4SflUyJHYiYKee09pHDj4SIQmbJtFQJrcuwOuAm9cUpqYFxeMGEnDEmSTjYobEyHJN4ralaSAoYFhr+FHieuBZTy0CmvntpUHoI//FXsBNfHFYI3Fhp4zMjDZYzVmPNCbx+2A1/vDkfZzNpzjt+R5b6ga/+l3QOg1bEZlgbInS1HwXVYp0Q8t0GBGGNWipcxk6AMAHBOMLZ0CcdNTKghIdP1DSrul7PJa6HqLEHV8EOV+jvWwhhpj7S3wUi5DbTFanNtXKQsfUqRhcvkFSCjOlY8Xgymf8dzE4NDcezRX3L6VnhZG8/o43ZntpoVYCem4RJN/l+sawJ9WIDb1XcbUE+YDm+iD3JUOuR+SUJgDYayo3dHWZmkXYoKqvLY0Hf4/Q80ugu4iTTsPxkVSwlo+9JrRXAe3FOuuNpPSmMJVnBGA802gvbx0aYuSUp7CU+wCwfomwlEl8u2cKci0gRkDPVS4kI88eiJlJtAxRgDTsQU0fW/zq8YPMTsXkNxL6inDzmMEY6krBN9z3pyZec+2htIM566EWAjcRuPFoi64/9/WJghkE9s4JbRyzs9d6/O2TN4Cz4l59gKONv29iXdRi2uFsPsXykxnejPfuN1frdMs2lh0ALydSpqACWtXgq3qZEZQESRY3ziISgUli4AV8Im2J3oPtFaRwBWyVAF3AxrF8o+A6zqUDQNMwa1Wi40vFagk0lQBTwCZoyvZqAyiVtidwVAJ6+U5mIFj6d99JmInIBWRpqWImYkNO0PYCrhUgKzHWoCzBq4KA7gAAA09JREFUIDQpKYsEQUoE8hj3qXgWcf5zDWWwFMDFXqkmZKyOBwL6TsIPt2+rGkSWzns8ANQWUMtMKWqgpmMxGY3XEuM+75uAU1lmMJ3vqcF6Va3D8rgzmMrMeFyTJRBWAqaNe8y2JdcE24cNvVTfAObAsxwlADsL0RMS+MGjp/j5Yy4ADE0AGo8gFPYe8Rv8Rk8hGr4PHhzxtok2mDVr/AoPMPZNkRSMAkDbNh476MM1zJNp9rr06Qp/9vCfc60HAHzr4UXGUQDIwczjyQqn/RxvGonvPeTK6KVpcKZuT+wvsl2Ac2c729md7N56Fs+15yWNPyORHBJku7aKY6H+HUWlr42c+/ZvQ6gwA1s4jSiok4wcbrXHGhEox6u+iy2wV1In2/is/q3GBzC2IOlQhAzg2ihGqzAOIZ2rCxsq5ACiBkbpb+731vai7PWcc37OtaAKN1D/NvcrFnyJqKORtgtXziPrcJjSpw3AkqFbcQwgxjiyvka1VLWlrdQHsqmvFVYj9d9QiZukax4C5mPL4D0gBlcZzDcmLlJD8DHwPWy5/c5KwJR9mxeohJElOCuYCi+lsK3EmZnBmzIIS6M3/k7tLrXGUjdwVmJpmrLv50DIfXMmi1qycDtDsb0NwEa1aAJpVaCtIDZ/l9S0NtB8223WdSJVtL30sfyd6NXq9phKDeV41XdfYlJ5GxItP221k6ne03EDSJTzKDtic2JLp/G8mJZzkWsSpV/V5/b29N1Xd1A+5+fABdO/bbe7udMtfFFRQ499AyIGwm/2CQCgw8ayJLehOAvi9eb4sGRA1R+BkknZHiPidvI5EPLkNmvWCJHcOKgA6ICgApqGZ5a1DhCa78FO87a0DJHKwWmZ9/XyOeMCIMgAKRkpmiZSqRxO9Ty3ndqt/07tTrSBoAAhPFrJ26wXEJ8DIUfbgcSvw4joKYAFgLOvuy//ynaK3Tn/Pth9Puc/CCE8uMuO92KyAAAi+qcQwr/7uvvxr2m7c/79sN+Vc94FOHe2s53dyXaTxc52trM72X2aLP7y6+7A12C7c/79sN+Jc743MYud7Wxn99vuk2exs53t7B7bbrLY2c52difbTRY729nO7mS7yWJnO9vZnWw3WexsZzu7k/1/NPjAjD8+tQ0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.02215909957886 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1e-08} is: \n",
      "[[3.200e-23 1.600e-23 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.600e-23 3.200e-23 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 3.200e-23 ... 3.200e-23 3.200e-23 3.200e-23]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 3.200e-23 ... 3.232e-21 3.128e-21 3.200e-21]\n",
      " [0.000e+00 0.000e+00 3.200e-23 ... 3.128e-21 3.030e-21 3.092e-21]\n",
      " [0.000e+00 0.000e+00 3.200e-23 ... 3.200e-21 3.092e-21 3.184e-21]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb246370b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.968430280685425 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1e-07} is: \n",
      "[[3.200e-20 1.600e-20 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.600e-20 3.200e-20 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 3.200e-20 ... 3.200e-20 3.200e-20 3.200e-20]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 3.200e-20 ... 3.232e-18 3.128e-18 3.200e-18]\n",
      " [0.000e+00 0.000e+00 3.200e-20 ... 3.128e-18 3.030e-18 3.092e-18]\n",
      " [0.000e+00 0.000e+00 3.200e-20 ... 3.200e-18 3.092e-18 3.184e-18]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.13302397727966 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1e-06} is: \n",
      "[[3.200e-17 1.600e-17 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.600e-17 3.200e-17 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 3.200e-17 ... 3.200e-17 3.200e-17 3.200e-17]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 3.200e-17 ... 3.232e-15 3.128e-15 3.200e-15]\n",
      " [0.000e+00 0.000e+00 3.200e-17 ... 3.128e-15 3.030e-15 3.092e-15]\n",
      " [0.000e+00 0.000e+00 3.200e-17 ... 3.200e-15 3.092e-15 3.184e-15]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c1443c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.93401503562927 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1e-05} is: \n",
      "[[3.200e-14 1.600e-14 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [1.600e-14 3.200e-14 0.000e+00 ... 0.000e+00 0.000e+00 0.000e+00]\n",
      " [0.000e+00 0.000e+00 3.200e-14 ... 3.200e-14 3.200e-14 3.200e-14]\n",
      " ...\n",
      " [0.000e+00 0.000e+00 3.200e-14 ... 3.232e-12 3.128e-12 3.200e-12]\n",
      " [0.000e+00 0.000e+00 3.200e-14 ... 3.128e-12 3.030e-12 3.092e-12]\n",
      " [0.000e+00 0.000e+00 3.200e-14 ... 3.200e-12 3.092e-12 3.184e-12]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.997790575027466 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 0.0001} is: \n",
      "[[3.20000002e-11 1.60000000e-11 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e-11 3.20000002e-11 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 3.20000002e-11 ... 3.20000002e-11\n",
      "  3.20000002e-11 3.20000002e-11]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 3.20000002e-11 ... 3.23200002e-09\n",
      "  3.12800002e-09 3.20000002e-09]\n",
      " [0.00000000e+00 0.00000000e+00 3.20000002e-11 ... 3.12800002e-09\n",
      "  3.03000002e-09 3.09200002e-09]\n",
      " [0.00000000e+00 0.00000000e+00 3.20000002e-11 ... 3.20000002e-09\n",
      "  3.09200002e-09 3.18400003e-09]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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94ief7SWS+SbAbXeieZlnzYc0IyKky/W+03oWCn6VHB2cRznKUa4ld0OzwD5MmGOS1fJAEhLHOF0d1fbLajdfZ7Us9qCbZAByMS96Oa5hwpuKSVE+CJyxkGZ2IBJnF4xtPzGtBgN1vkXZy8BkY37oh8QA1BSM5phoQKRYhpTt7GGY7KpvDExSBynZK8xg8XOzNeM/CNlUOpDd+dao22QSutigUPmAZmGPld+kusPHavJyNicOgan0XNa0AKvhWc2ovC9vOupV7sZiwfl/xs5UPgpF7U1AWjEKjgI26oFiegAowC1rZ1LbVny/picP+l0zUdvi02dTkFe+lzs5ER+HLgTjCGqb6sAr2ax+37lqfArc99N8kMUChNoHt1oi9UMBhik4Le06uOUC/uH9+rIVJ60BfQEVXxBjdbapOaPwZbVpkziDabWsWBDrF7K5EouFLF56HBAwaYzg9bo8GytusQD3xvcDwH/w2PhQss2ukS577xjF32EjVvNIEwBatAWnMLl3IyYtLTzS8xf1/NVSHJx5Q/IfPJZx0vdDF3MFf+nCB0h0IoO8+OykmgzqxG7GYlJMgGImEsSOJEIRUznO680e3J0B+G9+JNcezTvlHXi5qP4SYOLE1XNKu77xIdyur34TAPj2Vx6UVQdsEvWYnJNBRrPJKv9Q1UL0pewxs+15z4HIMcoqPwwTjz/HVIAwum8U0NQskawgCGMCu/xQLR+CgqP6ofhCJglanKTtc5Sidn+2S5boQsyayTCIj0bbnkFV1ASAHXizPcjvYKMUpG3DNDKhvBGHnNIJmESVALGBJ4lZjsADpr4Bs2iwhgiv4mzouoNtl71INqOJ1jk7xrtdXYjaZrpoZkdtdXBmv0gIwLMXExi4AK0iSH0sdjwm5EZUo1qqde26gxBslyNBcL6Gpi93wDpM+zRPgDPoYTo7rUA06PO6fs7Nl3KxsBGOCZ7CslopQk5xGCozxiTMNYuiMQwHNQt4P8n840E0C52EqrG4xeKVmgVmmkVh1lJPd46wUN4pCux914HatuI4gLrIWRwHUBxoZDAdjDoxxRlYzydi4GQFukKzUPMCTQtSs8j+PsaKEpxJGQ8dRwB0spqQ/ZSFZx5GZxYn4Emo97xCs5ijGZH7qykB0EmHqlnoMVqtZPKnlBcL1dwqrJz0+tkxDmbw+SncTLOg8c00C7y4qONs+3B+JtdQKHju7000C4GGNxXyzww8+7JFQ1RekXU6wV0YG+1KzeJAhumhzMqbahbo+zrhgIrH4JyxqHF8nYy3pVkAr8ZxaLtnIVIwi18movhptA0CEBrfmWYxnxQWyzH9ccJ80b0NzSJdrjP8m2XSzc28uYbgSCbmNty+ZvH8xb4fgtONNAu32YoZZTeUeH1/zTEacpSjHOVacqc0i1elqCvuwj1+NE0J1lV4thpT21aTIq+8/oNH2Xk6ID59NjmfI/Kqba4zX+EVyGN2dIWAcyc7gmI9xk8+y7+xmkXVEDhx9TMcyNQsWoUqN7F+X5CTExMi9/VQ8henuqv3/dR5p2bThx+Adx3Ss33sg5xg8A9We7gm+c0EiauBqIUpAaEOWpv5qWPjHWi5FBwEcBgDAUxRrXtf5oiZ3XVnx5x3cm2PqaOYdOePtR/5GdDjh0jf+2Sa3Dj3bxh5U/IbnGQz6P49sDq7v/N7Nya/Kf1+A7lTi8UXKnYyGMDUxNP+ptedq/X2mleFub5omZkg5a7OTV+W2QvL1vQAKslLSnglh8YtyJTBi2tINI3757wLUiEbClazVI+zmpXGrI1xgpa8VTFtoQMpENe6xKgmD8q1bhJRvVuLhY07z+RVuItDUnZYC7XN8f63j6vPeBTm93gXYhcsK3YRySFezdlQsVpIuVw/vN0i+iYya6u2qfgNrLyDRXiilXlnqAVi+b6I8lYcot2/DdHxGIap1nMDIe/AQwLSm3kf7tRiMYlmNG1VSYHi1IsvXwpxjca72xap66a1RDJ0m/t+kithTY/w0dfkuoo7OFlNkmz44lLwBONocBqCp6Cz0wn5CZ2dFo96eiG4kPD7flAiGwachRDASzGPaLOrsOhdB753JhPiibSRzs8EoNU00g/FSazXAqk24d8C5AkBOFnV8Vxv5OUfx5KxqbkRGt0ozNbPngMA3Ld+pEZkTL4Bgi+RC142cLtB2mvZroYRtOv3TUPFIqjzV3MmiEBbxafkFzh42a1VrV80oG4Av3gJ9+M/Kr8PEoWgyOUzAMSzBfxmEAdu2T0BOIC6CHiCv1CiG0a6dwJuPMKTCznUBOmPbgbzqEIbQNs85hqd+vwZdj/7b6J9uqtj5QiuGzGey7vn+gQmsWbiQrNOqXznhoTxVK63+L1LOH1nVGshQjpZIC0DwpPLMmbxj/4EuocNFs+G7EEG4sLB72pCHDcyEMkTXGS4XURa+vJ8+R9fvxrg0cF5lKMc5VpypzSLuXDiw3U9JmnYsaYhF2o8V2qJYDjMVl14I3JmZElSsiAVTlOTSE2YzKoMiDZE291eqJY32wz5NeZCSsVHwP1QYdFjFE2DDb2u7mpqOpnwGA+D2PC6U9sUbNv+rhNGKkMNqEjT4hhTzUC1E6V1y+2Fc5nXwuAZhjGn06faTgX42GxaEyamXV/vYVTqYrYV9X+GfO2Fwo/7Hu5yU9puUYx6PRqiaCG+4l3AwhdRnoMJh9J6V3AsAEDbXUVwZo2siPfCw6HvjWp62x0Wn23gLgytXvBAP6DZ5euaVH2v703jy3EaIlwnWohmkLKj6g9xDv5ZDxc86HJTxqz5fAMalvCXNUUgOAfqx6pZBJN1OkTRGlWzY5Zj15Q7vVhMKoVNvqD6MjgFI5kX5CZ2pHrhbRq5Sia/KY63G+SIEBGYHIBqSk3SzL2bfnaUVWbDkanp17M2kSIwb0ssyY0dFwuactmvYElmACBSBRjp5exv7LVu6t5RX4sjFF4dopq+koFOcK62ISXJUUliItSRjLVNhQv1hu1RmY0T+wwws6aQYkP0mAM0T2SCL3EOrO+MTTs/8E6zpuKb33NOZ2dPILsOHPJv3VDu9GIxkQJEmaI1yWfEXJjyOxQEpOWasPQE2bbnnfAu0molE1Mx+tvKT8BjhSS7xQJYLSU3APLM6fSkvhf6gM9Pp/Y7ADShMiKtt5VJadeDzzJXQ/Yp8LIV23TRgrq+7mR5Z6Dloiad6Q7VNOCTZe3jxVpeumEo/dXrkCJZG22DXCs9OgftlESo7t7s606YVg3cVnwW3NZXiIac4GfBdTrBz1YyHrlvIAJOVwV9WHgXFLFa/COt/C4x0gNhtuYmL6IJgK+TYDxv4dczfgzIBHK7EQgO7sWm9CndP0FqPYJqbWcn9drOTXZd9gReNHCbvrYBgIsRmx9YYbHQHBlC8g5+N2K4J9qC76IsYiw+BWDus2CMp/L7VeQKVtN3kQjx8RnSwqP5vC1jtvvmGXaPApZP6zOIrUPY1nYn9VkEghsZYTtiXOV3IDHS735ZEZyvktfEhm1yWFH/Felp0I9F5ki/lPJ/dfcjoglaE8jhshjLzq51LnkWySmq78wMqRDiaRiuaEOaUJUM+tJKIfSN4HktTKIp8UlKkssSY72vmgb6eRYZcWMyaFJV3dNkEaDRhBSjDX/Owsp2N7PmUWJpAXNpl2ZWso5dybYd5ZwYAb0vkSxczGBTDsH1CTQkwFN5PsQQkp6UwHPNIXI1ifK9CMiLBU8cnJSy9qAmixlj17OMGwBOBAfADQmuVzPDjJ++CiyOWTewnDu4Og7ZKWsXXeryQqzjgbrQ0Mh1/EiOIyu1OhCUCG5IoD7Bu2oO0uz1epXc3cXCESas2EazmGY77qv4Jc1czQv9rR2ZYldnNT94WSjUhtcMzpgAnydJCPK7bArodchVshVWUpQm5IlasyU5+Hr90fhYQpIdmhnOcDSSeuV9MtGC3AbHoDFfV/sUwiSjsLSLuarlOl5qyqimoYtG42tKtE58omr7AtJWImBM4KX6PNRvMBYtgVQPZjELSk2OPAaSlJf9LkazmCzQ6ofxHryo9j6iTLZk2hsXHhQT2Luyc+uC4IiQggMNyosZwY1DXAb48swpaxZUfTXaZ0/gNpSFsmgWzmFcOTRNjXLE1gGRixYBgomG5J2+lYMcGOyAuKR8XMokIDiA8tgEB248uHWT3I+4cBhXhLB15SVILQn2L98v5XFIDcE7AiUuERlKvJdF/yo5RkOOcpSjXEvuhmZBOVvSIAjVBNCq3BbibaHDSqnHXSdUeADQ94KpYBYKvAOAHp4R0/J2V52dyD4Nu5tDVPV4uQZtNuU8jlGiIcXLnv/97CmUj/MQDZxtEQPC6swJyHiICUkL0YQUB9ud9O8AYa91nCZbLOj5NEIxT0rS2q/+Ox9PB0ozHE0/SPsRDWGvtuVkWXdkHfeuF7+LXnIjfqL09Nke98UeYS8REgthr/+d/LqamhjeaJSBSEwvo+mBudQ5cTECD+7JdRPDDyPCZzWik54+q6bfAdj0pG35vrEfcP8fNTVKAsj7Mo5obTEkHQ8Tsat4jgH8KNPqaeTKuQkGJT15Bp+zZ3XMTvoBJzY7Vu+RcUYT8CBR4cpoTJqAW7++bnDp1rXPfNeiNPwHxJYmLFl2RKa4TXptKYBSAcwAv8hewzvwop3CeZ27WSkAvafNNFSn3xyBmcFAqqIjeBRgDleSGsrXsynfE9v2iyDsnWRJujp5bJQjU8uX9qYkJkATwMus6g/6XGZONB3v3e5mpQDOT6WtJZMyt0nfE+/El9OEajal7LzN/U3n4kim/M6kxpewJ1k+ixsQ9sYP79fQqcvmyravDuziW6oO9NQGMYW8h+sGDI+kXX4rACtuXDGPODg4dXIbwl5+cI7x/hJuO05MRxpTjoYw2Nexcm3zFSDsPUSrlwlsD9LqTZKSUl0UFJ14HVo9feicit+C8/VUaIzC8q0Pwl1/YNnS+s85G3QHtMlf2RladuBFW39nrsUxyeJ0WzLG6U44UuVoMP1A4gluRB22NMaau6A1PPqh4hcAmdRENw//DiYCVnJGjEOXBf3JzKCBSh/sgu8uMlYjca7v4Uok6E3D0dSPFZ2aCZBojFUztc9R67AMEZSS+EDGCJ8xGe4yv2/egbr9yM5ExgjXR7jelNjMTlAaZXGkVDWLt5U7sljcUOZRhMRgxKr+Kk8AX103ZAItJwaPOS8gOzMrXb35rWXyfk3dEKhZA0zMEDZENTZzkxMDKU5JeZyr5QsN/RyPt1y+cFKLw2ggxuTQXZaiqY2Rcu1TnSScoyXMk2rjFF25143KF+pmYIo2kasLB+V2CDlRbYNlwCINUadcMlALE2nfbX9n781VdUP8i3UFu2XtlIcBtJ26BIuJhOws19oi4whXIk25LclV2H3wwrVB07oh/uUl/JBrgdhExkNmiPbPgheBY/nCoxzlKF+83FnNgl6lpprCMuQ92I3iaLMUa6/xWRRVPtunahLYojmCCjXs0f765QuxWtbV/lAJQOuzYAaaKWFwsSu1iJIeZwZCuD2fxelJvV6q/hxxQhv8hGI6sg1ewsSu+jYKchOYZpLq98PqZj4LLTLkjB/FwL05J6GVxDegajvaT33ueYflJpQdU5zaN/dZpAdnoHUeXyJ5dv1g/Dl1PEv5wsaLbyH7ftI9cWy7tZghbHd/7+HOTg/6LNLZUswVY8VTLk41rYBGmXbwy+6z4Pw/M3m0vGBh9zZZqLyr9GllMUiM9Pnn5ZLu5KQ4A3XSWOIaVRv14ZfJlx9SvFwfZvc+EyebPgRqgjhLL9eAc3CUEZQ5d2OiZjcBaPJk7rqaubjrQCcyEdKzZ6X9mk3L41gne9eBFgu487NqC+dxIWsqAPJyqANYj6uZoYtFvq4/OZFIjsmynajchq6NFotars++1DFKVMkCv7QtpycV5KQ4i5OT6mgmmrzYk4UzJvhxNc3LyOq2LZ9IaIF+mOAjpI1OokkhlKxeuf9KxvdSImP04H7Gt7AgbdUM0KrvQPUjBA8OHu70BDym6hfJIDZk5yUgk5dnfgcak0zgfgCNEe5lNrGevhBzdNYF/uCRPLdla8CHCRjTtNZp28j4z60L7zB8dB/h5Q6pNTiX713fuLgbi8UNRZhVDy3wAAAgAElEQVSo0+QzNaGE/wCUkBSFYEreZ4RhSuL1B6oDdbWUHU0f8GZToy72XjCTENnhWIBSVHYROjmR1HJLNGNSyNkZLYCoePqRF0dtD62Wkri2kkWIx1E+r5b74VWTAi992MlESUkcpoCkq1snqxZk3oo9y48fmuvWKIPu2gDAqwVoq556M1l1whxwMOt4AKjlEM5PKgTcpKjbYtRogkzQcZQ0/nysJLKZUHE8X8KvTQgzCwcnqeVNmBD68j2pnqYExXy6EvBTSrLzm82LvQC2JnBvItDFFt3Xz9Ao5NpLfoqkqMtC6PpY+sdt/tfJeX47gsaE1Mo4tlq8eCbjfWmbv+wKDH18sEL/sEVr4N5p6eF2U5i6tNchLjzYE6KmqDOQwldhsbCIzb3vLCozf7bHkM2YnGQ2oTLTxBtT30NuJ4jGgsy0yWX2XkoBb5OigqW4q7h+GmcJXwZhSTbZyft6XCe6tjGbPpPwbj5/spvle074JQpdPU/vm/8jkwtTxq8JBUZeojXeFWQlkCeKVvg29+PcF/gDIe88HqWdep1RxyBHSEKuyRL13h4IEgovmlhGWZJzNTQIQT+6fl+tLip/4+Gsw68J8l2o102tB0VFctp+SZhVJ6qiWDl4xIVDUHRpXgSIgbQwbcntjJPzAEoe5Kicy8EfLCqUWmmb63zRutLCY1w6NK1ZMBd+AmHXxSA1DnFJcIOvi4VlzbqGHB2cRznKUa4ld1ezOEStl/ktCk0+UMOW/fQ3PArnAg9jLXtneBA4M1sVnwUw8VmUa+rnfC9qQikoBED8EptdVbH19y8vDvssst3NXVd8KWyrYKtKvN6IzyLGHKKM9fvLtYQJrYOTCBh8NSEg46QlEIuqvetq2xNPQ8ScQE+e1zZc4bNw2+v5LCaitPlA6bcbY8W7KJbDOn2RtZuUpC9PhM2LrvBZtJe7wxgb7wRFGoKgGLNQdvyqz8J5B5ffEW6bihfJ4+uB2gflzIgRJ7/9slYkUyd2jHAvc4ax8Vk0Jg+lYiJidYY+ewk+wIXaNEHuaUyUdjcgPF8W7AgANG0zHQNfNbd4toC/7NC29Zlrstt15O4uFnMzxBEoZ73Y6INNRZ+wHLdNBTBZZ+jMZ0HZZ0GnJ3Jc4+DbXY2Y2HstFvKyqiq92Ym/IcXq3AJA987FqWa5L00KOV2saxGaEID75/n4RWmPA8Q3sd1JdAWQCXJ2Ctw/n/oWsl+BFzUaQttO1NphFF8GAHqpZkhuq/ZxuxNb/fGDsqCVNHE/TWBKJ4vqVJvT6nl/2Geh4wGUfqf7pwZ45CSSoDR5ms3qhbSFNjvwafb35DTyCUIRwHhviXB5wGeRfQ3ceIF86/FH9+VY/jt+cE/MksiIJwFuq+Q1QiLDjopPhNuAFBz8RYftv36OxdPMTK++iC6WFHWXKf2AfTMkbCNoSMUMWfBhQt7+o3tIrUO46Es+5HjWYPeowerz+szHVUDY1t9bM6S/57F4vsC4yu94BNJvfVl9FnYnmyM6hxGkrE+JX69Z7DrRAIahZjtaINMbaha4XBdfAgDRKFKsTFaDCQXepmZxiHjYO1nICmCoB5yXnWpzReg0t5c3WyAluAz8kcdxy5pFP1ReEsvIZYsK5fty1xek5W1pFl59UpwZrQyrlvpUCogpeDjvQJcbnDDfvmbxvexn6vryDrvV4kaaxWLRSK3TRsPK+IpoFjO5kjXrVZJZkwqV3QHH0c2v6fbht+qUfBMI81u1xZgTh8ZHsRHJOCv1eGbxsiUDr6wIdltCM+ezMk5Z1mz9/k2e/xu2SaIfhp3KDovFmswrwL2LthG9uafRz9p6w+vcqcViUmRotroq3sB/+Bjx08+q7yET3Oi/RbwvO5XmktgiQ8rCrZDrlAvkKB8FUqwAK3MvRwq2qqYNVIMB4B5LkaH4+RPMyxeKDyHjO2ICuvzwYjS5H/Jv0kzWmIvO2O87qXc65Qd1ABjMs51Vf6caxG6aZagLhHtwH+h7pJcXry9faGDa1y1fSLyuWl3u9+Rd1QVsVr90wuKen9khKDaAKVvaXBTEZcsMjuPkmGvaCoJTPtHcLylJmKR6PCA7NhH4wT3g488Oly/U6M0ryheW8XpN+UKvIe6zkxqJ+/RzuBD2NQk7BiblwD+8P+GPBXCEex/lKEf54uVOaRbFDkbWMsyKqyt3/ORT+MePauLOcgHe7gRVqPZ4tmVT1wkyM1+jlBRErusBsdWJSDgzre342VO5dkoT4JZU8z6pDs6XF+K8y/fQEnv04z8M2vY1UxMALxqkM3FUuhcb8Co7Hdc7xEcCOPK//Ymc/PiB8HQuhIuTF9kR+fwl8PC+8HBq9WwFSy2akoINAP75pajT3QC+Jw5d9zJXEc8JVHrd9D3hC4l/6FtSEwQoKEP2hNgGuIwxGM5ahLXwhMSF9awLErHgPwxsPD66B5cBWOlE+j22AeGlcnBS6QN1Ayg7ONNJK87Jz59h/MPfkmMLcUJK3ZCq2XQPG7QvRmF/MiYaB4ewHpFah/aTXDGdGf3XThFbh+V3xWcxni/ArQONcl2y9rwjjCuPsNbaJ7LPtr/zFJ/8mR/H2cfZ+RsIKRDCJqF7KO9I2HEhFR6VESsQmIBmy/A9ozuXE+7/yy1cL9m6ZGgEN4+XGFcOq493Zcye/8k/gM1HDqcf13YOK0KzqX+nJr+XjdQNadaM4TSbzREY/45JD3iN3KnFYk84AYZjsYhVs3Kq9BTHX6tTX1n/0qAfmVwh1yVr3ui9rG9gEFr6AjAaRvHyq/NOEZzbXqIV5t7yDucHZdXWYZQJan1N2ZGrtPslBRqQyTjGEl0oICrmCegIu04iQMMA2hiHLCCAMeXoRDV//GUnVPLalwxqoyGW9gVA0rJjjVoQC638xJOfZLFBYlko8ndul02f3VgXPIXPD3FC2OuSlBHgfihkvK6P4hBW34ImXBIhXPal0E9+kAADrh/hOlcRtYkRLgfQwpc2h5f8SsJe1+8T9mLXYfU0oXmRzbzgZLEwpLm+SxmABYSlRieEoZxGhu8TKMr1/G4EDVFyRgy3avu8Q9h6hJe7MmaL5yPYB7Qva2Z12Dr4bSzmlBL2ciC4QQh7w7YS9rrx+l62u7tY7JWvS4e/09TquZ2XcQPl3/k1JklYeh5PCXcOpbbHaxL2xlQXMrXrlbBXbW7DBUHjzOdiyEwmRMJ6ncS3R9hr+RcsH2XhkHDS3phA6jRLqFEMMourQxnXEoq1ZDA3IOydQOf1eem9kReRmISD0tc2kI6vtqk8iwQKxpk68BsR9vouGcJeBrEsNL6TBcANxvdF5nosk9X1Ca7Pi2V+DyiHhgGAPQ4S9vouwXdC+GtyGuCHJCUBuBLypkSyKH1fEPZe9Z1SvVlH23Wub6IAk8zKkszkKluX4U+4sdhM06s+++pVn0Qt9LjmnQAVan6bRYxtGzX6Y9qreAjSzFwAQF5YciYokCe0jbbYRLG3EQdwoprVqsqn5rzk/Aw9Rkl2asmfySePcp1ScwY4uDlcR9iRIYnW2iWESTaYg4yP/oYAAoF9XthUEfKCJ7JlGXFVlIoAdnqtOgZSTwRg24AvIGpzdHAe5ShHuZbcXc0CmIbQLKJzToCru581Tw4lmFmdy/J1ElUOzDlfpNEm9DxBcObfN0EyNzVMplwDi6aqtLojBw9eZNBUjKZ0YBJORjZ7QRPEAemdUKQZlir2TgBYM9YmLNqC1ASyXyRX4VJHJiloTMFbGfGpGk1aNaBeHWBcigwrshEA0jLA7eS+mi1J7AEagd4+s6qR8CKAdlmtVntf/QNABbkpUlTNJUW5NgEpc3uKX0H8S0VbAaS4MHPJ/JSTxRlJfeal1JKC3iEtAuLCI5TyC04SxNRnYfrCQc7Xt0OLK/mmwXDmih+APRWn4nCezZDOydbPQDQ+CzDDDwwXCMNZzjp9FuAoFyVSi9gT4qqRosebSrMwnAX05w6+96VC27gkNB7FDNG2pECIC0LwVAoaUQTS9eks3m6xIKJvA7iAGAUjM/8UET0C8DcB/BCAbwP4s8z87KprXPteGodOKFRkAISchkgyOi2DdNuKnZv/rT/OHxX+rICt1UJsQUs6k0FDlaWbhI/iZFUXla4XCLdCpDOOIp0txZk5Gr/AImC8J9GQZkyIp7liVUyIZ/K5zeTa3AZxui7aSdQCFwDaBmnRFGdmSR1fthjv1yrqIZPTkPclSuLnRDG6uOQ4/nB/Ab/NL5Pa4cEhLXxB+/X3GrQv5WWPy/oK+c4jjKnWAlHTCkA8XZSJFnM0JC09gqrYGZYcl0H4KPO941kLf+nh19sCn45LWbhcZKmLkdfM3WOPRaCinsvzlYnZXEbE1tWKZezQ32+RFoTmhfRhvLeQrM0xgYOD76qpl/IkazMsW2HbqxdLrL/uQClHlbxMzGbpsHskjfC72p4xPx4OGe69YfgO6M9lrJZPArjL716o793uwxbDCcHFVRmzzYce62+SODWyjKeE5sIsTnmtTS2BRkZ76dCfZZxLrNGS68gXYYb8cWb+SWb+qfz3LwH4DWb+MQC/kf9+J0JzROCrT369HVd2RjfVZm7WqP3P8/s62n8SV7XvlpGMe0VnTI1Tpvo9k7YR2GebMUJmly/HXvObq0R9AfO22uvpQkGYLBrlXCf/cenTFzyepi12vDBr69442+OK0lSt7Iom7l0bs7+/4K7dhhny8wB+Nn/+FQD/C4D/+G0vOkHB2ZyIlMNG9phz4L4XxJ3+O7tGqbGZMzNpvRUzZjTRAs4RBxuGy5XJNeGMuw50sS4YEb2Xe7ERM8A6+WJEk3dM2nbwGvLsBoTnu8m5tMksz10vkQQliQGAfoDfdvuh034QbUL7mGud8jDAa7RhIzkM5HLoVM2mbJ4sPt/WkKGaUJT5HTRi0kvyk1T/rjgLGqK0VzUeE1UJL3dF49B9MLzgvVqnblbr1O2k1invOrRPch3YYoZIopSaY75r4DejOAxNlIZightSrkiWIwFjwuJZh7gMUrcVQLsbXxk6bQ/UOqWLNc6/E7H6PB93UpEsrEeEbZPHS94hMlXK4sKV0KUbGO2lXK952Zeqaq7P72JwOPm9lGudbsqYnX/3BL4PWD0di3aVGkLYplw8mqcVybr9Wqe+e3ehUwbwd0nKjP+3zPzLAD5i5u/l7z8G8NFb3mNfvKsVr5We33sgKT4gTbg52SlYy1xDWa/UNm4zB+asxgeRYeFWn0XbVq9630sWpfJdZiizAq4modMmVNMjpWpaxIR40gpOIt+a20bMizx5eEJqI9mlZQOxoKzTWhjZ51KCRFSzXU0iFFnzJvd7PGsLLT1iDn06h9RUrsvxpEHYDEBw1QxhhvMOfqhhT1ZTDuILKX3L94zBlRdwDsqCBWU5B2y2xXyRiSYvu8067R4EtF52YtVmtJRf2Eak1kmB5Pwsx5MGcenQZP9DXDWvB2Vlc6mAsl4ssHvk4PtshgRCCtKfnYKyOlcm77BSn0Ue9o4ROkZ/JseXT4Pc1xGSmt5EGO63GFfie9Ex6x547B4T3OiLO25YEdq1q+USlWq2kcLIzdpNQFkpXF/9eNvF4meY+btE9DUAf4+I/h/7JTNzXkj2hIh+EcAvAsASJ4dOOcpRjnKH5K0WC2b+bv73UyL6NQB/BMAnRPQNZv4eEX0DwKdX/PaXAfwyANyjR6/XhSygam6GALnOhpoLmYU5p3cfcnAWFX6MYobslAw274q1nRMzhLW6lXrvMxFsSdDSBKv1LqMveVJsxmfiHNk9s/kwRvh1J9EGVeHVYdoJCrQgPhWYYwh3yj2HoTgwAVQo+zhWEJHW3sgJRxodSXlMw/NdBT8ZjkvyvvhVmiEK3HqIxTOvf1NXWa0pZZgzs7BWa/VvyG4Z+qGU6NOKa4UuUM2QrpdrbivM2RuTyCI4XZ/gdyNScKUiGSWBoSOJaq99ozGhednBDU1BrIZNV/k93ZRoBt7B50pjMgihjPHpxxGLJ/l9yhR5fjPC9TlioiCpyGi1MPLCQetG+y4iZKey34hzlxsH12VHceOx+GSDZhkQnlyWMVt9egZwg8XzsYxB6wlhF6sZohpbdti6XcTC0Or54R2YIUR0CsAx80X+/CcA/OcAfh3ALwD4y/nfv/WG1y/OKQCVgWochYAm+wioaSRcuViURYSI5e+Uco7JAdatTP5KGykGxGdCfqMhMbrciMnBXM2QpgGdnIDOTyunZWIhotFz8ssYH53B7YaSXwEAqQ0S9XAyKVWt9usO/QenIGYscu5Gun8Ct+4kZLnpSgjRjRHpbCll79aZuOeqaMiTzNW56xHvS26If1GJdm00hDLPQ/fNM3lhgbx4iYMytdUMGU4DwibCxVTsXzAj7CLCM6PWKq9mShgfnZacE+03hxOE53mRfWU0pIcfR2y/Ic8sLggUZewVNg0A20ceyxcRyVMxTwQWDoRtQlw4rD7RMUvYfW2F8cThNN8rLf3royEvtYJ5joYMI57+eMD57+ZFIACxJbSXDbaPpA1hKwELSsBwou9CHqIdw3cBQ46GPEiAz2Felyu+syP09wOGE8LZ0pcxe/GjLS5/kHD6e03Z3cYVob0I1QxRa7gluD6gveRJNGT8zXdjhnwE4Ndy9CEA+OvM/HeI6B8C+FUi+gsAfhvAn33jO1zF06Dflc9TODczv94RPIFTHzqeKnxZtZebIvzS9DcFF5GP698UtXzhrF1jBBpf8iAAyGJ0RcrMFyJzCHCyEGWTB5Jk3Moimeo4Kh5jAqFnnh6XM2/WNh2vlKHMSSagThRi+SyLB5djTHq8wr4p4zRI09EBvOmg2jaU+zMXZjc9DjbvAFefyqQPGZ6un18p+bcHxwD1GOaf31DoCyGEeUu55x7zT7t/dwJhdqen4H6Ae/QAACZV1P29e5M8fd5upRBLrqLOuw7xyVMUboQZLwUA+Mw7ITfz5VxSx2Wm1afLykIE7xE//qTW6ABKTY/CLqUJWV/7sPzsYDjXHlPGbc71KvR7w7lY6OcAwDukz55U4JLlq2xMHVTlsOD9IkPKT1HAWNnMCR99WOHFWmRIozQ6NuoI1vJ/eiyK01a1IC12U0y8LAVI9emT/fKFtiiU+Zv7Af7rX8vjVUPQHHyd7EQoxaVtkaHNTv5OCelB1igVQ+KpmhaffJ77m9+bOS+E9hmoZuh2C/rR31cT4ojESbvrKxanbAqp9t0WKe4HpIe5XbluKTde6p4C4CaAPv5M7qk8JwDomx8hna2mtU5zzZJDVdTp5eWkhCIA/G+f/U286D+91qp9hHsf5ShHuZbcbbi3NUE0RJrixD+BtgH6HqSwYD19tRQMRdtUCLbdsc5zwZohsyUt21JZGxDMAoIXBKWppOVOToREV3EW6w3o9KRwOyblvnj8QH7HXDXAJpR6E7TpSik96nqk+1I20F3I79P9E9EmFuKAK+dm4lpHH+zjLAwhMDDFWZAWN5rjLFQTyTwc8Qc+qPgCk8hkE5vSIojTMDJ4YXbwQbJcC9DJ1vQ4XRRHosK2/aKFm+EstFxhyVBdtsIb+fwlxh8QbTAFV3wRE8Le7EuxiWTEDBrP5Xo5XR6QXX48b5Eah8Vn8uxc+41X4iz4AM7CffIUz//gQyw/1xR1Kinqw5lMLzdw9SEsKu4BDLhRsA7bD+R6p98TLg92BK8s3I5AZz9QcBY6ZutvPcbmg4Dl81j8NrEVnIUiOBWhyZ4QNg/3cBbpf/8q8FnMM+0mKeozjglgEg0h75C0XMCkwvl+NASAmBVbiXKQdYYSiVpn2qIkuqqGpq6ThMICytJoyLa2TSfCGEUlzynqNp28RAt0seoGaY+qmLpgOSfw71xqwN7TEgIDEKCYkhzbUgC5z2zyUwpx8fN17X6quRdkzBC3HYRvoR/A2QlHpkIYZwcmIpcJ6tZ1vF0C4CBlBwYT5cntQoyVcmAjJh5vt/Avtnk4XTGN2OSX+LUUAeLGl0WMotybnYC3FG5PMaF52YtDU4FaT55XMmCiSdSNvJf+a5RKzbr1Biff60qkBkSSO7PpES4V5KBRr1QWmbQIpa2uG0FJ2uW3ArDiUDEhvPAIHz8Xk+tyU8Zs+ck53LAUQp7iCwHcUKMhBT3rCP6lEBo3yuieCYuuK3d3sTgQwShiH6RqHEptD0gJAFPWsDg+J6CsPGDDgFLez6ZcWw6Ici8ChSDlA7VCWIy19KH+DhDQVNYsClzau1pGsOsrMKwb5CXKkQ8AVaMIDtSNtV1dJ9/ZcoC6QJnyiIB40WWSj6DVqo4dAC1ArC+9soHx6bJW3dK20zRlmtv8ordNmZSc8qRzKBqEJKJB/AjLRb1unjB876yEAXFF6LSAtIYRKUdu2ADEZDLkfI2TBn435uS3POaOke6vZAIRFd4JOT9MoOhazvCq0CkfCJ1iGNA9MkWtPUmJAEcYzrMG1Vd+CY2ipJCdtBHwjUN3P4dOt8LJoQlxcjIjPjxHWgYE58qY9Q8W2D0MWGStBchIzV3to4Ku2BPCKsDtIpIJnfJ3ru/UvbuLBYA9AhyVONMymGWBMKfwMErIU/+dScEoKBuU7sjeOMssQU0+l8dxQnrK4wja7qqDszBl5ZohphI5jWRIaGrClTjhuslOoBoFdZkpyxKrDiN4szmsWdixydB0HurOU+gIZ5pFofm/2E77fIhzoxuLZsSDKVKU+1qrh8szoZiAbV/a4NTh9/LyoGbBsTI/oc+aRd/DXWaMSPD13QgGht6NssB6X0KxwjJW2bHSSXa+xgh/2U/MDXp5WYsuzzQLeC/Ob1ucGQBvd1h+1iG8qPSA3Hi43VhwEiUKlBKCLpQ5i5dJ2q3P3W8lRYC9MxmyBPdiDTfTLNonO7jI8OvBsIUh11alTDtYHZxu3QlDnNEsrKn1OrkjiwVPTQSgeqLVBzD/ha0yhuzd1wc59K/VLIoa2ZuUbaCaDLtOgEIK7IKYgdfXLHJFq2Qo3ryvqeK7voKX+kEiCMygjLNg9ZY7JwuFTqZhuFXNIp1VzQJq5zsC+1qDMy0DqBOTiU11KxpEGyvUeiWkzZMiRawArxtqFpwneslTSZj4ReIqaxaeJgliFBNoSFKwqFAGCu6Fg4Nb5933jTWL6i9jRwKoaoOkzAMT5iqrWYAhk70LJZ09bFxl9VJAlXMHNYvh4RK7xwELT2WxiK0TUJamqFtQ1lnzVprFMRpylKMc5VpyRzSLK8RqGwYjIZW28jpnqn5p3RGQQ9p1ACdRuw/gLHhdHXnwXjQMR1XDgHjS2dLqMYO7TkwPg7Ow2kcxCZ6/rFEQQ1yDC8hObftJJHU/Yyz3F2SpEx8FUCudkeAW0rPnh3EWpuKW1jJh5lKm8SqcRamt8umMesRwUmjb/AsW9X8YS20MxFR2ZMWKFNNpjKAXl/WSnTh5+elzpAM4C3tM/+Z+gP/8hRw0Dk5rhnhtRxOmplDBWTD4LGtYw4iw6yYs6fz0+StxFnQFzuL0Xz6b4izaBtT1CCVZsWbf6nurtVQ5R3/Cc2kX9bniXhNqBTbvgSfPpA7rdlfGZ/ntgPbJqvym9DemfQcnkZgwM5zFHAPzKrm7i4WbcUioWsksYVJ9aG0DGkepQ2qcVW65EBbuti3q+iR0eiahUx4GGbx2mn2J7U5U9bapJQZCAC0WEzMEl2upPZrLIZbJ/fC+TBb7gnhzn36o1xhGKRGQAJdBYHy6Ev/GIpsj1nw5WcLRw9ebIetNzQ3JZojNDbFmCD+TosPpaw+rGmwdnJ6qo7YRSDTGZEKnkNwQBQQB1dE4jOLgLBm+OXzcNnAHzBA3M0NcN4BfvET82sP8HIyzNbgyUeJJA78ZhPFKoziJQcNpmTg6cWmUDOC08Gg+y+e2zY3NEPr8GS6/9RBLm6K+cAibEeNZTlFXMyTVFHXN4qUkOS39fbne6pNdaatT57F3oJOFmCFPLsuY7X74MbYfNFi8qD4e9tnBeSh0un2wb4ZcfNlCp5z/ZxaElFfV+FKqUE3qiAxjCVU6yCJAKSB+9qRc0j+8Ly+kwV+Q9xXCrfcaR2GUXmamLJdfvKfP4LKmUu61WMCdnwGrZcVjAJPcEGrz4LeNXC8ZuLh3SHnS+21XixhvdmLHewgyE4CjD6QmyckJeLORWiUA0rPncPQQ6eFZeXHJTCytSwIALkhuCPqhpK67Fzlfw7ucop6L9zIDMWI8XcDnMGdll6bqO4CE/Xy/K+nr5UHECHqxrc5jI7Ro6y6WfzN+eA5/qXki0q7UeKlPYij8/HaAcxKSBFDSyMv7oGvueahw6izsCOOqRViP4Nah/Z2n5bt4Itga3cGHr98vNUlSmyn19TqBEBcezUXOb1l4gICWCLsHHr7LeRweZTfvHkh7wzaVqITWDWEv+SbtOsF3lYrPbUdBZM5k80P3MK4clksv4VUA3cOA3SOCN/R/wymhWZtQv9YNaYHYBrQXCcOJLqRA/KfvLkX93UquI2JrgUzqg1ixRW1nPI8gqi+07h67TlQ0rQdir2nvFYUwpiRvxSgOyjHjPLQUwGZXrqkyqeux62omaN+XpLByz1yLhPu+/pv7xX1f65KY9hFQ6pIA2XGqNUd2WrhZQGg0CjR6wiYOCF5gVkUd3pV6HoDMTQ3xTrzp2s5DVdTzeGg7AcAHB9KCRjnaQnmhULwLxZizW7kWJLqiinpLOFhF3Zsq6hZfE17uREvKi5hfD6UmSVqEEs3QkLrbRfiNFnXOyVox4uSzEe3zmnWqVdRLNuw1qqiHXNfFabbyTJoXK/itR7gcSpLd8skAcIPl09rnsL26ivpw6tC+GBF2VbO4Sd2Qo4PzKEc5yrXk7moW81DqpLCQCbXqZ3vMnj+/jsqsELFWNSt3sYWW5/cyxXkmhYkm1H9RtIpZpbSikVjsRIzlc1LbMxcuohjLv3I7lt1Wixhp23MSlSUIRskO5doObbuaZHPw2zCaduXdPUPWy2QTjvQAACAASURBVPGhttfuSzTGUsx5T3Q8zHWkUNHMiTjm/hhtCWO2yW2Bn4wYJVN8Sej+Dtw7/5byuE76ClRqg5hBZZFBIU18N+zEVKslBbO2kBi+SxJKhmAi2EmI1mmRoT4WH0phB88aiOtivaaOzYFixQVMNqaidbkuIuz8hNHLuzj522nFuJzO74dU0/cZ04zr18jdXSzm8qqiQ6863zhJiejtM3Vz9Wxz0YrNcIRJ5bB3JYVYmPbaxo6Kil/OLX4GA7QiwVK8c9F2ZQo+JuU3NeA45+oYv4P2KC1fmVQREzwHkJ23NhP3lqXczwnu4o2u4c11AHDJZb+e3N3FwtYJmR8j2v9sj9lzbcUpe3lT9wOAJFSRCZ2SnWAmzVfP0ZdkyE7E8jJnzWDRTCtyAZO6HtQPk1oe5bhO3lyLhEKo/+bvKYRalwQomsWkLgkgu7bPaEeNwoRQx2SMU0dtYuEOtb8HKioz7+zppIVTP47lBh1G0K7DIdqDMh75M4ApL2eOtnDjxSZPJvLSCcJWeU21toeS1KiMZ+3BcnypcfD5d96k8KdVK8cutTRBg9RmB+fCo3JECKLSFmFOrZeFeDeivx/g+rb0gx3BB4fhXnZm73whcopLjXDkCEXj4PpU6ok0T9uDHC7xJCC2TgBmWcsY7rXYPfCVNBnAeOoRbAJfqz4LwnDi4AY/cXCyv/5qcWcXi0mdkPl3phaIrQ9Cpgp7qS3iqibAmvuRUg0xaiThZClqtE4e72pkw97Le5nYFn25aGsIknPE4PwETtGXWSyTVRhjiVD4xOW4vsylFsnJStqo7V1vgJNVrUsCFNPD1iUBpDaJTqZCFFwQq14WC63knkO2w6MVwmV+LVT1zcS8SuTb32/RuspspeJ3I/wwgrYHXvY8HgBKv4f7CwR9zhoNaWXyqHM1roI4HjcOwyMZA2WzcrEiFAFg+2GDZbu/McQFoV0IC9bqRR2f4dFKjq3lusO9ttQkSS3B52sRS+QirhzawujlwETw6wGX3/QA8oITCMkDzcZj+zijMrdcSnuMK2lv8hJhaS4cfM/lePtsBbcznCRZdo8bDPmc5lKew/qjgM03CKB6fn9GaC/rGMTWREMWhNhQYeWiyEg3WAHu7GJxG6JApC/gQtc79q7EmhjztpikqsmxuckCXM1KdksyqYehC3o2AyYtcQdqj9yG2Pqk5nZSy+Oq39xym77Ie876cdOaKcdoyFGOcpRryZ3VLA5lipbvTOEg2GJChwoRaREiK84VshpFXNLFegKFTfmaACb3okUrmAFFHGaGau77yU7tn1/u4yxMESC6WMNrYtVmi/Ak27IZ1q2Fi9hRyR4FIBDu9UYyENWkUN+IKWIEQBKORoETe3tMtY1oIjI5y7b9dL2Hs2DvSvEfAFh0i4KzcDOfBa83B3EWOh4ASr8XzJUu0DlBH64zOjN78d1OMklpjNI2XI2z8LvlQZwFG5wFXVSYf/tpkGM5ea990kjN2ZiQVkHwEUC5DzuC32Qzs/UCbBsi7v+rAYun+ziLJvtCroOzSPl4eHJ5EGdx8kmLFBzCeiiRonu/06G9bEqBIwAYV1fjLPp7HovnI8ZV9Vn4/vqa9p1dLOYikYwbmBCacWl8FvAeyHkdBYxkMkJJuSVfJT47M331bXDwch9HNSTrHchkaspvXXWMej8hltkryOx96UPJHoX43PT8EorUHADvi+0PABhzjkTmdNT2liiIuS+FAEq5atfoy71qW33lkGh8TdE340WJS3vnouOhn/U6JXSbF4sJ/2c+DpZcFPW/yO8IoKmDM7W+Fl02khoHCk6+M+3lcixPqDZI8aCRMC49SqlRzyU64oZU2pAaBzcExKVD0tRzDZ0aaDcY1cHZKvRfzqUkQLpyrnmuVmLjxJ/TGX/EwmNcEmJjj1EFFmLm4FwRwtaZdvGNzLu7u1jMPJsTX8N1cBaZbYmsZmHYvwtzlK7iwyAT3Z57CGcRc75HUFSnICQ5xUnMmrpBtASbjwLUCTMMk2Q0RREWnMUwSNvCWP7VtvM4Av1gUsFZFgHVrJQTY6i8E9BMf81JoSmCU3EmE2RoQXDGCRbEWf4P278xJ9Qd2BnLeMBEfLZDvZd3QvVXwpV5HIgqrkTh7WOqOAsTUg3eFdq7yb2Dk36NqfJnAOWYalJ+04NHibQER7Uym8nvoVzq0I0J1DhQP6J9MQo3BgCt4O66EU1+DhOchS42qoFsR3HW9nnR3vUHxy9sRnDnJAU/X7d5yWAvUHYVFxluZ5zqO40qOSnYfDmWzYC4jvN15O4uFodCp/pVCDXTNH+mEKah0xCA2E81C5uZp/wOmrF5sprQ2uG5rxEOm6jlvYRAdUceR4mObILsqsqofe8UtPETgA0vmlrNnLmWFARKXQ/6JJj25AQw5tJe2u5Aq5VEFBTCrUCrtilRD0AAQAJxrhEIPwrlmvJklJBtNhHGx2evzQ2J50v4C1/6VJ5LN8DFdBCvUcYDKP0eHyzh1/ncICX3hBSmhgfTIsDtBrhhxPg4J//Nc0OydI9atC/3X+nYOIR1K7khm8qPMjw+A7cOTV4sxgfLHGnhrC3UZDT2UsO0uVBaPC/1Tz9LuPjBFqeN0RgcwW+jMGjhdbkhAb7jYhr49enB3JDu8QLjkrB86op5tP36ApsPHU5NBEhyQ+oCYHNDhlMC+xa9li9MeOdV1I9ylKN8H8jd0ixU7SfaB1jECJATurxM6gpgyidhfsNdX/gcSvpu3xdzRlO1C4FtCBXElO9XUtPtvTZb2fE1DXvXgV5KuUQ213Mv1+L0tGq6KS/Im22FTG+3pVJYHKvTU0sllpKJuQ283Ur26GDal8Fivrdqdmb76gd41XC2O2l7xpsodJi3QjAcnlzumSHqlykw7SEWtibra6ExynUOJZLpeOTzAKBJqWgrhd07+MqNAXGgUjcAmy2C+jM0jdyUV9R2+fW+GRKyGYImFHZzAAhPMuAtY0yaz1uhvUtCrFvp+CDmRXAF1i2+DoJ/fonz312ieZo1FmOG+F2uImfMEC2oPDdDUps5OF+sD5ohq49bpNbDX+wqDWBihG2L1iSSLZZ+aob4aoaMS8maLeULGXBfRQfnxMS4rrhcQbxAioXQ5GDRn2tfUx2nBxCi7xJrYXES2h5DdDI57n3l9tSFwpEACLTt3uMg/PGW+2DJWcp/M2i3dfDeprDCzUsKvzpZDRJXm+Yw4c24/baZz28Iyy+cJAXweLPnfXcXi1f4LK4D9y55IDanxHqZSzQj/+ucRBrKxD8M9y7/WQi5o737I3jQ6KbxmxCqr8PNIiN6nMyk9uK9J1+9+JSTwORlNlEeQNoUjI/GHWivLhQaDZl7w5tQoyyqzXgnx/Mp3Hhg8OV8Fda2+H1vvo6HfgZkspVjWhc1uInTjX2uOOZcLVuQoyHWIQpINEQdhVaUrIcbXykCAHCTQ6cK8Q8O3DggIsO7NTKDolmoE5ubvADnSEaYhESFE1PDodK/w6FTSh6UiynLmPg9Tg69X2odnNF40sJjXDo0xmcRFzVqBUxDp6kVhKxGZCjxjRwRd3exmJshSnUGXCsawso2beuEmu9KFueNs05Z8Bi68KScdcqzFL7bzjpVFi5te871mGSdlsI65l4pyTalxxVLkfL4veOs03KdjBUh5gkHCZlnc+tZp4NonRQjHNHUDGEJ4ZZjThZ0iumdZJ3SEOG0jeObZZ2yE1YubyNOX4ms07lmQc5kkl5Ds/AOnPKOrC+vc5VU5Q0TyRCCnGtqokrdyiFjDLJNeuuJZO007KnYi1WNhmiuCxHV6ytPZqaY40In6ACm95dIZjAUkrpeMR3OOaAbbj+R7ET8AkgBaeHLZKeYisnhfB6D1guL92XzThLJxrNWKtnHWtrgTRLJAGB8w0SyYzTkKEc5yrXkTmkWys7NwwhbUR1AqVnqP3wsXJulFkgEOGV6PfObxIZ5OoOJPvxAPN39gJgJaktGad4RK1Bq2Ct7yDHCn5yIx193X2apbL2RY+7Bfbn99z6V6t9ml7VVznmohL1pHEFaK1UjCZ8/KQWNEGOtGDaM4GfP4XiKZyUiAX3Zqu9ZC0FKBUehFeelW1ydiQ/vCyDot767T1EITKqbuyYUMBtZRGSMSKNhmra/33X1uvk3fn1evzeV5C1jdwGGNQH0W9+t92QxMcnswoumnRYGyuIybyt5j7St0RB6eTE55hPDe2kDnyyr2aOm3Rgry3ouZ5genOHeP/iOlIqsnQFSRKPPOqYKlJv4uiSKVkB1ANJ6s09IBGBpsqOVi3T1f/42TpaLGtHL15+kGBhnd/zmY7gXmwmK1W/3I1dXyZ1aLDCbnHvfcbqy6NBcZBFxIOIaLt11sqDc0As8kRRLGFfbyplxip0r+SS3LrMJzcpbAVQ1ljOXZZwuorV8VSpudtr1ByfarYo1V+wEsVXVtO3vItJkiyIlrhykGqJNqZZdSAlIrhYteldt6/o3jgxRFOY0phs4KozcqcWCzcvqlsvJiqzfxZcvEb7+Ua0GfrJCurgUOv5tJb2l1VLOOVmB8m/Ts1oTw33rR+T3F3lHf3QOZwrX+u98LNccY73X6YmwgT9+WH0dT56DHz8o3BLp5YW08w99C/6ym9TWTKsGw/0FmIDF51uMZ2Lnhuc7dN88AxJj9Zuye8Yf+ADu+Rp8uoS72BbWbv/pM6SvPcR4uqjFeDUhbdUWzgcAaD9dS67Hti/ox/Ak1+/IPoji48i79vqP/X40a3X4qS9EciV8J33p7we0L0YpNLyqu1TYRjRPt6bqF5eEteEb9wokejwXDXJcebTPc7KeRguWHn4XS0RkPA0I6xHN7z7B+t/6/XJsSXAj4EaeIBA3Hzgsn+U264bKQGyAxcuEcUk4++1NOX75gyeIC8L5t+XY9uECcenkumFaM5QDZcLbmNspm8X5//scv/Xnfwhn35H2pgCkBmgvGdsP5ZywEd4NYsaQ0ZOpAUBAWANhx+jvy/HH/2wo41xycYiw/maD4ZRw/jtjGbNP/+1/A+sfZJz9Th2D/hxoX8i1wUDK5PZxAVAE2pf30d/LMPQR6P+Hfe6Mq+ROLRZW5k4yGxNms/OUz3PVeZTiQzTWIkSTuHJhxpaXi3ZSIHkStlKvvNmpeRwLazaQF7Gu3ysy5HaDTBqNSACgnuC32Wk2xJJ7QDHCb0bZ8DUHQYE3g0Q9rJefxiSQ7G4KcgJRJa4BZBcaJTu1QLhzv0s0Rs2u3O5mPRaqeRql7Sk4NIll8QDQBMmqROL6AvGBaIRmj6YEtx3Ld1q8uNF+oGIHKLJkmprn6dcdMAwIa42iOLjIQt5ikqgWLwnNOgGEGhJmIBByweFaUBmRETYRlGqt0+ZigO99yTJVWDWQw7yxlgLwGqLteiyeAYuLDE8PhNgA7Toh5oUs7BjsOIOg5GdJict2gO+4hJX8Lkllc09lvNkRFi88fO+kjXnMFs9PMJ4QmguuTOID0FxyWSyU/Ca18l17yXBaryoC7gZUlUcH51GOcpRryZ3VLF4pbGzHcmzmhyhJY4f9E2WHUYxCxlDsXWduV2c27+IIZbFt55qQZEZy0VyAbDOqWZJqeBAxTSpt630pVX/LxI5n2VUnNjUg2pWN2cckG5a9vmInSMyDuUZGg2G1jgw4hhuBlNOupW/Vprfp0DSmYu/Px44SlzZQVL+JBWBljWx0OcuU89+Zt4IZTp18g4T9JCU+mV1VTAh2ZDAy+bvIwMhlzCklOXectsuNCTQymGkCDiNOcD1N2qVj7HuGG+z9CG7gwhXhh9qmgnEobZbaHW7Q5K783E3bKcn1XdDnzuW3viP4oWomzhP8kKE0bG4EOU/alY9EfDVwFq/jryhOHhuTLqrnDRQmw3C9B6H2wm0w4cO4riisNlX0JNs2E1W9zmcMSeIp34Kycs/bdZvOPnv9DHPmjAyvcHIUuHillefaXsU+qAtKcSCap3CD2L6Vyfhx5ZhAnQ+ZmbveQ0ohyG/Z1bax1g8yLN5vKuzMK6f3Jyo7mY6fTN56TO9v6e4UrMXBCb0CcDWknMy9D4yB9luPv63c2cXilXIoT2Q+gRxN/51JIZ7RA95N/AtyEletw97Hm5yAnEcwvz97k0NS2oJKTjODjJeXRu81zzex/dCJp33Q33hfJ6r20XvAxzp5NKHJu4NkPxyoQITdmF+8kKHPY7XLXV4w1DfAIHjNoZhrZ7m9c8IhO1HVZ5GCgxs9VNNIwYE8wZnFJgWSIYx5wci3iQ0hhDzZPCb3crEe02eRMsdD8dt46TtR9llY2HkQ8hnlh9AxYu+QGiop6HINAUGpv4ASMrSbELM/WX0WlAHAepwdBBpu/S5OrpcaGYPiDG7keinUBTO2gO9lkSDmch/5l+D76segiK8I3BuYTJAJ27c9rqjJ+QLifcmjOKiFKAIzT2bO5ykikOTiB7SNnMehGA6fP9vcDQCxDQLN1d8Bgu/XHIDMtARAYv3tdHHg4Gp7vKsOQKDySwxTyDU3YcK27ZpQMnQVNVmyRHOuhyIwFS8xLj2abEYkR2WxiAtXSmfEpVDKWzYoYtnFJd9DE7Dy2MWEZHIaOPc7Nq7UCC05DBnh6Mb6txsbIIRyr7h02WRgocfPi9O4ynU/Jw5OLYgsLFJ6H/07tvWZx6Uv7N7saVIqJDUO44kruSeKxFw0AcOZZe0mpFaur5EPJvz/7L1bqC1Jmh72/RGRmWutfTm3qurqy9w89FyskRGysB89oCcL2bIRCOvFthAePUj4xQ+WbYxsjEAPvmAQCMZYyPNgyXrzYA3I2GAEAsluzIylHkbt8fR0V810V9W57cu6ZGZE/H74/z8icu196uxT1TWcbnbAOWvtXLkiI2NlRkZ8//d/H1jz9OaN7meDg5cBIpbtDsTyHad3MjthX84bwrCqvqpxA8xnjPiytnM+EfUtuVAIaajHoygXy6Tq3rK8xJ3L2ztYaIaolRsZco1v6fE2AqpSVkOMWtTRYgBEEjdfzCA0LTvlJlGLSh5H2dNyFprcDQBi7puB1oSZEsNNWaag5hYGSJ6BrlXLINaSkyxnAhB6OZGkbbekIQCYY1V30r8pi1KWpYK3OR0Ua76FRUP8mAsKTxb6jFluHGvuVNf4BcewtTQzch90P4l6EFDxFUBwAyIJkY6mPFUf+200xAUn+8RYfDl50rU7S/i0RBJGwQlyIDAZNiHqVDK4oFmqEtzEoJ7LVN0fUlGPOo6GuCgRBq/p3wUKmCP8XiMaAJwHIghhZISdbAujDVi1rSkRkAXP8BPgNQpuFAj2VCnvBHS7DGK36LOwB8JW8BGrN5BEWGQmU7G5HAE/Av2Wy3SaEuDeALO4j4bcl/tyX+5U3t6ZxVFplyEUAth4EqpZQcGDDw0ZaBiEU9D1jZhLM1NZWRKXuIrndSeJSfpULPMVAx4BeaIPA3g9FPKW2w/ImwFuL+wXUgLXfNpL50ZXnlx5FTBpcpGbEuJG3ndzwnwSQMzodQaRhwC3n8F9AI2xUHz9BetyJpQMRljK8qbH9KAmkg3joIlYhHSmEn5lKeCBOSFvVIFalyPTg4BO19+kT9McSJYeOqOYHnj0lzJltqQkMMAhw+9DfSKayxgc4iaYbCnSRhzIbcoNoCzJ4toj7H0Rxp3OO/SO4C56TGe2VCK4BDXJqTPLw+O6BCmAI8tTtr/OSANheGlLA1G7njeEjS4Bp/OuEL5yQHEbB6QPptOaEm/yeP0nAw7vMcLelf1yL8uq/XuyT9iRPJaZMJ9ofT0AYoQdwR+A6Vy2x+87+LECnfLjALt3POIJIexrstz+XcLhywl+9mVmEU+AtDL8S8hYcj0JxyNeUjkWJfxomgwtSFkx3gAuOaZmmwfmSUhZ+npchzs0pCzn4Iwj3+Ibzi14+yACjyNoH4qeA48jaDeW3AA7VtjOKmGfC+joDkB/qSY6c0ZQWXkqBKEKOLopgZ0ShphLCrToQmT46VDk+IuQbubiFAYAtBtFYXycimamKVxhFuWrkj2qy5H+IgrhCigMTEeAm+uN019qqvOcwaSDqxkEz6kqbDdR2bBPsjQD4E2hehvhr2T+7ey8x7BYhvSZCwGtu9bvT65M6fMgeAQg6//+SvQujdlJiSVkODH83GBdidFfJYBEcxMA+hcTwvBqUpYfPbpLXQIo9kS7EatPCKuXCv56RlwRhssqqeBHACR91G3rYENJQFR/QAmdCikrI/cOXlPNc+eweZoQtw79i6n02erpGmnl0b+spKywI3TXXJYhho2kjhAOjP5aBijpA8Et7lre3sHCtChui2YcuYJzSiBzN7fPXydx3vIXTPMic+UppCSzjpwLO5Nu0Rn4tPopCdRd8AaNFBBUK8HAtjkJhyCjkcpjYYr2nRy3eKtGaeMXtIAsehJQnIEJUI6Fxfdz7wQHiFxmAJQh7xODUuNKDijfpHJMCo38DcN5BbPwXNfjTSqOXPza9oajAMUhKNYBgGIuvhluUgp3K1bzBoVSxQaIZGYi7dN2J67hTW6+wwyKUDZqPUcXWXkdFTvK3c1blbKAlm6u55utb+xYuemHz1ne3sHiKGS5XIZ40aoAipIUhdAQo9LroyHW+XOU7L9eps+8qtEB7sRLg5IpKfm7R0MGqY8aL4zce4lWkDxBS+QiZ8R1WACcPHjw3OlrqMujLoAHL8uvLyIasvbloqDoij5DGipVOm4cmALcnBFPjKYt0313aJS6Zo2GZDHRsUEzrVXxivBG0ZC4OVqGZEbqqNwo8ynBJY/sUZYnlBkuybQ+9YRO6fAUM+LGYTp1WGmfpcF9pmjIdA7MF7YM0VlDphJ1yKECjvHErg/pAD9KWNP8R+PGwXnJx3EWjg23R0PmM8L0UGYK1gdpBYC48S6p0ZA04nNFQ+4BzvtyX+7LncrbO7P4tNJSisumZlvmql92l7rakGlq6tClUKGWv4mpMrNO6QGbC1JhCi2PayHHhQRglvRyzn7ZRluufJHDfBtBZgaDloY0bKFelOkzsa6bc1OB0sUlzNnQqjMvGI5v2q4yxebmvX3ODOKGUFW+Y+2tbSjLk885RT9uQ1mSHLX3xn7tdqvLljSp6e9XMXb1u2XZYefL9fwWffM5y9s7WBwJgNzIOuWKLTDf8oO/jmdRsAFbR6cl9wK2Zm8GIc2luBPPwjIwcxbKNwBQhDeptjnB+YpZhIPyMlKzrjcJtTbr1N63mpQ/QJ5F2KeyhqeYwd7BO15gFhxEd9LNuUQdiCF6knMqA5loPsg50VTPwabyTHgjnkXlODgZpJjhYmUvdgMh7BkcGls+vXH8QfJYin5lzAj7XEFkKHFSB5A34Vl010C3N4CT4BKh2zPStezkx7osqFwV4c64yXgY0H2tX6nkn+QMdDu6wbPotozuUk2FGiyk29Zlj+Ws5E6YnZ+HZ/F2DBZEwmZpla7Ul9SUp9LHn9TPWmFe85iYJ9CpOlaNE3i7lQFjaiwEm++ZXSBiBJJSkZmrJeBmJZhFTKDC9iSwie+Y2tT+IPiGbbeL/HJf7APLk2FyCAagjhO8paGPM8ILXZ+aLiez5oxYXxgCpolWF/viw1Ec0w5jMR0GAN7uhAUaY03CMqUoVb4yBa2sIG73fF8HJmu7MUl1IPT7oAMWC0YBABmLgUIapNL6c4TfTXWw0P5w20ONzujA6cyfxAbN3SjWh7s9+meqV9JV/KRVJw+7rqS/t7ICYCXJtU/onBH2EX6kEhnzL3fVk8S5pX+Hd+j6IP4jQMWsrrY4/07E8KzaF+bg4PcRYasanFMu9GsDUXMgnW3JALR/V/fdi1UjN/aJzhG6Fxl5FcTXRfvs9MMThH2H4WVsQtBLHY6Whh72Ce6QsDbfkMyFTHaX8nYMFrcUaoV2bysmYOtdpXsbWJcSckoyk7DX47LIp6hMyTZnhFed3PCWTxG0TdNc5e7t76PwbKsxsUgEsgvQuXJDFJAxMXil0oJE4E0PmqIMWkXgZhBAdpqqJker/L1vbohplpvJjJl0m5x3LrMvADUC0io/ZZaIDbMa4ZhMIavNYGxuQC4DRTpVc52x+Zy5ius66ZfiPo8KDFMIokXSLP14nhcK56U46OCpszlVyua+odInRrgay2CXTnQwniSak9augMfuxbX8Pq1aejkWAXOoru/2e0xz1aAAJOfGiYFy2Okgbn07p8KOTSsPP2ekTmY74aCDnwLiqavnxb1D9/ISbgqLPvOHhDD6wmYFAB8ZfkzgQBKtssHCEcLLEW6KyIdQ+vZ4Nv1p5R7gvC/35b7cqby1MwtmARZvhXYaHIFJlyHmbg7call/ax3AUuORCER1Ck5zkqdLo51x50kbV4C05VkYm9OmmoA+eVQotmAvmhtAyerRaXlMNe34iygtyMpc08wdFcNeyVuQGRyM6JRU75PEug9Ao/YVlyK8n0NDUt4YlqT1GJeABGdxVHEMw53KEmisOFHugxDJPqeOpotVW4QY4FnCxTVvpn5WdCzUs0N4FXVfN8s14zNqf/PtaH3RuYjNNQYopwXKR9J9P9cZSnlrB4vXlmPS1VEm6huX275ja9/XodKfVqdrvveKV7Z9mHEjFf22oMHrCGefp7Tn25ZmoFv0Q6t9YfoJx587Kmv2G997g8K3HfdV+9jHR5aOZbAu7f5sbVkes63/1W2i5lEjCXZc3nPzfaJluz7t4VCiSlz//qKujtcOFkT0NwH8SQAfM/Mv6LbHAP4nAD8J4HcB/BlmfkHyC/y3AP4EgB2Af5eZ/+/XN4NxQ9E7JRkZb1Pzzkf720xDNSnZ5No/rRRHsrzsXIOlx0mehtO8DK3etdzmhqY/JDt98jTtZ3PYmo8wA3MNs3qaCMYXUhpT4nIemmZe0Qm3aB+AylZt2kaz0vI1KlNmaJ91ZmEzR+fKbEIydi1VU0ykmBtVr8QlhAsiuEb31DEju5rq/1kLZVQFLtSISg2NW/vqFnPtxQAAIABJREFUjLhkGUOwA6N2+1FmspnrzOxVWIHVYQI/cnyZZXBGE7r/gURO7zSz+FsA/jqAX2m2/WUA/zsz/zUi+sv6938I4F8F8HX99y8D+Bv6+tnK4ilrCUtJHMA0F4O6TiT++24B1rlhEDqCvgIo+Q8AwKcb+f5hkqfm6VpuFPMc1YEHIVQQzjvQyQa02TR6GAQ6PyttJd4CANLjc7jDtBDU4SEgnQj4Fy4PyGtNKtuOiI9PAGZ03xNxgnwywG1HATzVARwA6OIavBpAQw/a6UBq4dChQzrblHP0L68FcBtn8LlkMNHlVs9LIiwl+qJRkfnL53Am2JsN9CXRo9CLPm4Cwl4Gc9PnIGbQlOF3Ux3YgpcnXWbExyfFoyJpAh3OV0WhPJsIztCBxrksOdKmh9tNIADTlyTalXqn/AhB/21qPz7w6K+yqkdRaRewgj9IzojldlByGJ+skAfCRsHJ/GAN7p3I6gVa2ADCkbBbVfnc3NB7AC+/3uPkI1/OI3eEbituYUANjVIGZtO9MCO4UT4/PJLtD4ASOi0KXp4wvrNGXDusv1/77OKnN9i977D5qEkkWxH6LRdlLhO6SR0QxhW6bVUYpwSk79yd4v7awYKZ/wER/eTR5j8F4Bf1/f8A4P+ADBZ/CsCvsNy1/4iIHhLRl5n5e3du0V1Kmz268HZoQpyTXMxsM5SjUp6AKQmirqHUG9Z7R2tBzBE8TVV7co7AYaxPe1t7HiZ5oqZcIywHbjJFY31ixCRq4K3m49Ss+5kXswlKSdprxkH2dGdeGP/iIIlkPM+gnYZ6beCLYkZTLAVNz+K6hjiNb0BEi6dv0FAkxfp9Sqxof6pRDyOmMcPv5wY30NDpIdYBr+GcWL8BgMsZdJjA04xwrZyMzgl/glmUrZqfKGyjqH01KmKkeha+4S4gZnTXESlVUZ6wm9R0OS/o9IDgNG7q4HZ6nViy3GHE6nlGf6GDiFLju22snArNhaFcs1NTTyW/xY8MJrWgsNCpd4sISz+OCHuPcHkofbZ6kZADYbjIlWuyJ4RdrolknVHOCWEv4eKwr8l/lktzl/JZoyFfagaA7wP4kr7/KoAPmv0+1G335b7clx/y8rkBTmZmotvsaD+9ENEvAfglAFhhcxPF+7R1rfeVtBO8rGFDqBqPgDxRXSyvABYp02YIbGpQvOplJmLT/d1B9SsdKOmYqglk1Pd1GTJNwGqoTmT61MybHu6gVnKNrF7a9AAJG92WAA4y3QYzumshTeVVB5flO465yuqNk/ACnCtdRs0yJJ+sajfNUZYhRGLH1+wLJT9ZG2xWFs+Gxs+ESyIZd66sy9MmwI8ONOeSFEaZ4SYvkQh7BDVgYtp0ZUaRdPmV+1AuQD5ahtix8qaX2dJuj/lMDYx7JWVl8Q2xq28696KS5QhcKtaIwyxGP92VNi04zGcBce3QXWpi27p7/TLEtDdtGXIxYP+Ok2Q3AOxl1pA7wvhAZwujq4lkugxJvSwT3Cy+IoeHsr2/DPCTLJlMCVyWgQ5x7UBTLn12eOxVM8OXDNc0AN2K6jKkq8uecCB0W7dYhrR6IK8rn3Vm8RERfRkA9PVj3f57AH6s2e9ruu1GYeZfZuY/xsx/rKPhjQ5OFqX4QUUFjhF829a+foHllWi3O3pvCPkX3CZD528g+8bmpObv5jvH+x3vc6OuNy0k/xZq483ftV3HEYYmQmJto7Y++tSIw+sKL/qhtqO8f03V3LSl/k2Lba8szTnfaf/PUT7rzOJXAfw7AP6avv7Pzfa/RER/BwJsXtwJr2D9r2X7KYCZLi8BoNoZdgEcY6VXE8F8UNPTak/o33ki99ZmXfMMhkETzurTHvMMzABO1nWNDSA/fwE6HCQXx+wL5zVoswGfbapSVkzID07gplnQdj1+7EXEZcGQ63xJwQ4XjKRPqTDN4LABQMDHz6T9Qy/WiOenoMtr4Fyp7M9fgvoO8d0zeNPDsByCxh4RAAZWpuV+RnwoM4vOZPlVWNdAVr89A1jsCLviPVIFY1PnSl5E7h2wjbfcoEcU7racr0okQpigjPHJUGcUppS18vBjX3Qy5tOA7jqgmyNSXwV7XWSZATR55NOpCvY2hR0hrgl0IeLCm+9U4+jpQS90a8Uhdj9+VpSyUk8Ih6rVkTvCvCasXpqil5Pz3Z9jegDMl/oEV3Vvl1yxJMxblJlOEeYN8q+/gKTUF/cyoWQfl6uf2SBuAGCFfiOVjecO40MWu0I7p/NGJQwoKeppAPYdoX8JTJJBISnqVVjtteUuodO/DQEz3yGiDwH8Fcgg8XeJ6M8D+A6AP6O7/xokbPrbkNDpn7t7U5blmKK9AB6n6nBO+l4sBZs4tlGGX0FntQvawqy0OyzCklnrBLA4FoZBTYR1GRKjRBtiXIQECxDVUoZzRjB7wt2h6kbsR4SXS6UttzsIMLkfy6u1y+1H+OteLBcBGSx1oAot32RUS8Zpht/6so0daVJVujG17F9O1eqwkcfzY1eT0RhFrcm0Fazulo7clhaYa5cefqvnEPTmm7KaF1XhF6fWksUXVZcKN0WOevSXN8PmqXMCfPauAqoA+pcr2baVbf3lCn4U5ay0ciXHgrLqW+xdtS88eAF/54yT32esnxoYKQOU3yeQhjzCPpfpvsnxsZeBpd9m+JER1/rgUEr2cVk/HxB3hP4ylgS3k48TiB02H9drvNtqYpkWG4RSL8rfqxeMoCkBkmh241CvLHeJhvzZV3z0x2/ZlwH8xbsf/r7cl/vyw1J+aBicC4ey21zIjvELchXbaPdNLElCja4mgGK6s0j6uo0laolhtp9zAja64/pIwNF2RtSYALGv4q/k3cIcyD4Xn5LmtdQjpj901Fb2VE2Mmrahqb+tl5vkLnIOyFlNbCzAa09L35j/iGqUaWbmpt0uKiB8y/o/N6ZIi6WHKWR10q7cOYUVqGynWc6jmgyJERDFXMO0WPqCLI6t5kA5uMXva6ZCaM4ld2JglHvRyAQUCOwcck/V86TXjODgRKC3CVGyFx6HGQdRruK7xntgr2DoVJ/8gNTH6Wb/GWiam4zb1BHSquqN2n5+ar9Xt4tPChcRX8q4iUt9SvmhGSwAvDmg6YQjwOVGlovsc5WjQaakYQNyY97mlvZFlBZENDOfI/DT3KvIueVFccu+rTvaH2RpwdIK9BFa8sRtjm9fVFuYZLBYqGsDDfhYwVKm2wenL6S0wOlnBPaPbRXfFAx9aweLhQPZcWl1NVutzXa97h34eD2mlbEZ+Oj3ARRNysKU1DrL+3bf4OsTmUiejuaZasdQx7B2aGo1Ml0XFrqYtr1r2lP0Pu0VGhIOfuHwRVER/U6czYppzrY+kQuJKPgKcCoAqp0CAEWDEkDVwQyuALOA6HS6UdrbbgdUjyLcvKwWDmp63nHliyitzCzkie2oEMpF+zNmwFHRvbQ2uplKKjoAzBsHf1i2R/YnuEncxoZG+NYcyHrdlgeHNEjYNXVUFLeZqdgRmh1CWtUBeDoj9JfWV3XmNJ3q9x3BJGNbgNPyw/JImDfWpnCryFtcCVCbrkXfExDN0ekcmF42IO8Zob3obBaRBkJcq4uZhk5dqm24S3lrB4sbGhStQ1mjw2BKWHSkW8HM8pRvn0jeAzkKbdu4CVbnHBcKWFZnqUuPVfIk2notwtLMLMwxbKEI3ipZzXGhXmXbC5iq6lsUVb1c68kpwUWV1W+c18k5IObqeGbt0rJwXPeqldAobiMId8Uf0iJ/AkBZftj2sPfl/eInOuj5xpufLRzU9Lz92NeMTJ1ROOJFHomfcqGdtypV5kjfMhC7nRMa+vGxsytuYy0TtjiQ6TY3s6iCRQZ1rQyg1sNidyB/6NLDEforRrfTQS8Q2DPCLqO/tggHNxnG8nVbhnTXYlVgA4A/1OuiLX5k4YxMXH7f7prRXwq9u54sFn8nw8AngAMh7FEGLqeU+buWt3awuFEWyU188/3x4GLJZsd0bXttk3ugN9PxIHBrnTow2LqSNVHJtmsRO7+8jMakVKwG5DOtP+VqQVC+n2s05ziqo98tCVSZAWQgk0QSyn6WiNYMCsdJYkWrsqFt24BV6OcJLro6eMy5GUjqk52SKFzdoMy3/WHtsnqsP3Tp4bQtJVU/atsbDU8Xc4mGUDP19CNXOndTmKD2hXlho2jb0JxX9iJcI+db+8TBgTNKSJeNzJRFGs/k6yjLwOCmDD8ZKYuLmY9NHC0a4mcusntyvnlB+y/nNsuA6VLtBz8z/IHLsQGRzmv/rmsNhpvE6tBrZLu1K7hLuRe/uS/35b7cqby1M4tPxSy6AJqm5fsuLDCLhe2gFW6eekZznpTqu+plitpiFvZ+OtJdND8O288rvkEkJC8oTTnnxbSXVwPSqdoFHvpqHThOZbthFrzqgZ3iGlPFN8h7oXWvQp0BSEOETr5ufEMO6olChDxUrASQCAcBjXuYPGHjSfN9I3spZuEUp5nOO/Taty1m4YITzcxbZhbJ+kP7BhDCVTHutSjDoE5curyIG4/ADJ+5tK1iFnmBWRwe1ezLxbGV25BWHt2qspDiSUBaeQSVMoxrj7h2cFEjD0oCE5MfQhxceRLHtVC4+xfA4QkVq0PDLLqBsH8sx+12/pWYRe7FrtAwi81pDxxuPsOnUycu8aND2CY9X7FI9M3+0zkhdc0ypMUsNoAfCdN5xSx+JOwLb9XNNBLO3Gg06nua45FLeoM32NS7CZvZurC4jR0mIVDpNDU34r3tsZCyfDfUaX1R226K2021zqb4a1+OZxmiNM7w10vxXXeYhOhlhC9tb04JbpwXWZyImjk7KsnJ1sdT1Ol7KqK0hZSluhXuKAoStvEGKYs8wcVKyuodlX0sJ8LqpnG+VU+k9AdQjtldh9quWcKapKpRtjwJzILn5FzSw80N7ZiUxYHQX91CyjoIKcvPuQo127nOuaTnh91GlyayljcNTRH8JbiRSxsoSvjaxYzVM8ZwcZOUxe4WUtbhdlJW0BveX0+3krL6qzX8SOiuU/ldVi8ycnDFOlH65lWkLMY0EYYLLpaFlPHDa19orlis9O1FUYFbNwzI41i0KTIAnqPaVRyt6x0J2GY3+2pV/uYLoZEXtqFZIlobrE59b8fycS2sTdtvmkG7A3icJFTby5OLn75YKosDQBfgt0Id58MIKI2c9wd4HbSSsUZfXooSt6bEtwKxfHEJ186cVAmcxglu5yqYpraHlDKczXB2e+WfKGBsYFoXACJ0Hz4rs6Nia0AkAsnaRnfRF6EhtJGPGMG7fQWNm0LadmsDAHQmjmu/r/FiiCrAaQI7zNI2QMDYW+wtw/PVYjCwYpoeCB788rL+HNo/fCnZZX3fyUwrMcJpX0HcmKvMoZ531wVwJ0mMj795BXepqul2DnPE8LGaZc+phKZtJsc6IyW1PSjpA5+8vFUWctMHaQNzEU4++60dNr8/IFxUVmruw2KwKZwW73F4f4PhxYjcRMBaJfDXlbdqsOAGRXer1QIos5s6XV4ivP8l8EE6iNZr5Ost3MmmbGNF/Hk3gjZNqOzps1r/z/60vF7vhAz08BSIWawBAfjvBtDZidysKp9PJxtgnMDnp3WJ8uwl+GRdJfV1EIp/9Gfgt/NCkTqvOsznvSDoz/aSaQqhQu+/fAowY/ObUm/86mP4iz3yqoe73oM3cuH5pxdI7z0SWXgVQSkDybrH/Hhdjtd/vJUQ735CfCK5JUY3Rxfk3NbSBvq25Ptt/5WfK9Ncl0TCnr1oNFjkYTrz6K4TXORiKQiW6EL/7LAASEX8JmP60mnRo5jP+hImLRRuX5cK/lCfnvEkIGwjug+f4eqPfkX2GRrxm+YK3j9xWL1gFb+RbcTyvtsyUk84/fCR/hiM3VdWiGvC+bdl23TelbyTHJaS+hwI84lDrzOItJIDnH3rJb79p5/g9IMz3U8IUP0VY/+uRkN2msOSxeUckCxQJiDsIS7qmq/xzj89l4iWKoRb3+zfDZhPCGffjaXPfv+PP8b2xzNOPjgpy6+4Afor1KxTW4b0MovoL0NdhkRg/tbdYct7gPO+3Jf7cqfyVs0sFqXlVQBLZqT39W8jZRFVjgNxBRzt9aiOQqryXvUafAEJ5fjC4CPfsDJVNwM6BQUghsxdQ0QymvLgi9KRDcnc+UIs4s4jDbpO7TzSoGQbVynN3jmlRPumXUKR5t7VNtg59WHhBM6dfE+8NJoZhX5G+h3rB0BNfTUcyrP0Qw4kJCQlJMWVZHey55IYJcrVrtChZWPVzEy9E4UrKP2alNjUV+IXoOAlV3DV/DUQan/Na8kMdQlqjGxgKCHucXNm4eUpGodK4qIkpsFxVYHMtHIl61QwhnouOchx/WjZsVT6MZ5y0anInWRyugjNEpVfiD0ABuZTra/nwlZlB8RN7dsAAU/L0kUzZ+OGFn0WN0A6SyUJDQDmM+VskBzPZhZ5UBf5SKUNbv4RIWXdKLeGRbDkUbSlcCIqweeGyK++UoYAlTkDJnTT4gHtd4rEf8OzyHlRH4DioSniqTUmX2LouSHEqDNVG0UwYpKJvCzqZ1aA74g7kStvoWzPpNv5aF9CazFgfSM3YUNGYpZxuInvu4SyDHA2njOqT2fbXyTTbxGwbc6NUNLMARQavh2nbE/1XCvPorZhEQCbpe3MVH82traJmzq1v3tatllk+Q30O5ac0wEq1jZYf7oZzb5yo1KUf4C+z1BSFZr96vGMLepKe6TfZE+R9rfjUNMGmpz8Bnp4P5FkkupgUdLVHSkfBJVnkd6MZ/HDM1i05TZfkBvamcub4LjcIL7ojVHqMaDN3gMo2hkp18SxpOvrI1CvqDtz9T4hZrmYdT3Z3lhmNFw1PZr31j4029qBx1iQMVdDYGsDKTEsH+2rgHEla9UbZmFg7KhGCLipl63NdvOh6Ttrc0O/z82NmhnkqEY0tO2A3DQUa3vNR6MdXNvBqr3Ype2l80q7bD9KWMjyC4OxaWMU71S58akOsHpKfm5vVCp94WZqBgv1SdWbW85BnuCUAW/BGol3yyDQ7NuaGVPTtX5m5BmLPnMzQLPUUX6bWY/n5Hhl5kA62MxcB6ZYj3WX8lYPFkR0KxtwkTXqnNzM3jfIeLNMeUViV8lWLFmYBIYvSLEnknyMmMrAwN7JdH2RMaq6Bt4f1d/YFjaZrRZCkwzIZnsnAq6WA2L5HOxI0H8TebG8lEb9mbIr52Qq2aUOy061vmkyPym7JuvUptHNVJ1ykdVLfQU4cyDkgYCpyrbJ0kGTr46T0pzWu8gwVVDT+DTNZzIwNTkjqopmYGbqSMbyrMK3ltfSkywDPKqsng4Ultth/e/ISdbmUJdAHOwYKmDTSM7lQEgdFeamtYU9Ia24ZHdy0Dp1OQIAOdbBomSBrnSmxfK7Z1sudLIczbccO9vxLYN1API6C+Br4/AgyyubWZiKeGrqt23iV4M7l7d6sPjUcjyItLONVy1Zbvm+PD3r5gWh6JgSfhv341MKMTTe2h4XOgPlxX42TW3pyHJOHjeWQplxa7bRD7iQPuUY2t6mGWbcVpJD2ydiWWrp3zkv3LhoWdVnaBcv3/Px5/USaNtX+vn478/TmKYufbvsk6P9jt/fWAZwM2Nql223FGr6vL6KNYLNXn+Q5T4acl/uy325U3l7ZxbH+gU2zY9KyR7rtBzkgKGvCtsAaOiBcSyvABZkIXP6plkySeNZDzflEk0IRSDG12hD8CD0SGcr5F72668PiOcr9NfK+9CoyPioAxNJRETPJZ4EHJ5YclGH8aFSsKeM/WOJApw2+/qtV1XsWBSxPYC06TCfBfQGqWjUJZ722L9bGZX+IO0M3mF83NfzBZB7idZEpZkPnbzu3nEYVE/SzZo23pFSjeVRdXjsVOBF0qSlc4BuIIRdV2Tfyk/IrihdA6LCzWQp3HJc04qcNw7dztVjPfKSLfl8hf0TiwJQAftMTAYAdl8VVe7jaEgOQP+SkNbA+pkB2MD+HYf5FDj5vrRt+57XuoXeHXb10Zw7YHpISPq7G217870V8FNb7EYzQGLkXmTy9l/TLN1Lj9zJDCifK7FtlUCOMV308Nce6bGAFuOHHXIns13DRdgB268S5nOG3/vSZ9sfT/jnvv59fHv+cmknPZowPx3qMmSjnJlNxDh7TE87xHfMCZ6QV3effry9g8WNZUbzd2NWLO81B6PJKuVZdTrnqtfZ1uF3S/qz385qRqPhvpwFr4hNOnxMwDTDbye4yawAZoTrSWwOUQek/iIiXE9SXyNEPARZT/pdRK/4gj9ErC6STCV1ORV2YtjjDxE0NantKcPvZhCzHBd1ACAGVn2dLIZrMc1xuwm9yt37rVKuJ9HDKFNVJcStXmR0W4uMCBgbgoRK/WTzYqC/kvRwlyobMOyFml0ySWMupKz+qtK1bT3uJ1c0Mw038AePsE81e5SB/moGHSasXsjx4x6afVnX5IDgBcNzXq7FGYCSsuKe4PfatswYXni4iQqte/2cEHdUSFnh0AwWQST9jVodd1T6OH/wACef6H4dIfeE7pLBLuhvaRgRMF+pncEgum/rLcGPwDTJiQyXkgbProKm7IDNR4R5S1g/T6XP1r+/xu8MX8L6I19+x3m7Qn/RWAEMlnMT0M2E4SUw7jUnaQZoujto8fYOFp+mjHRDJcpAyruvqrgBHQsg5ysoSc6BuyB5JyGUfe/atUy6P2NhQweSH599ldTPCkxSRvEtKQAnicxdqaMLCym5H3hplJRELUpeQfUmZ1cBOEuQIiZwEMYm69PXWR+z1tN8/7NI1ttsgZ3UCTCyb/ACZ31b22pRJvvMOBVmEZjDUpbusxT2TYo5aZ+0NA09NjWARv3ta/TC/qbUWBfi1cle7ACELGCuja2EojjGqPX+IACHt3ewOCZlHZdiVehqmNO/AepXOlFIT3DiaV10CrxEHWhu0P3wJvVTiVjYhWQ3HwgyMDWRALk4uByDHQn13JEqX+u+XVjqhP6ACxPqhc9qMqTJUUz1SWceoyW6kPSGcY16lYG5GoI1S0EOdbB+o7YtBgsAEFWrEiXXvpUBANouAqnBEDeS+1DiU+6wuDE/S2EbHKxt1l/O+ksfEnYjQwYYGRRY+1a2Z09wXqMmNlF+xWDGDnAh3xisJNKkIPTR4PR5yj3AeV/uy325U3l7Zxa3Ea8Wn9vck5dsTdv22vrRfF/XsYylctQxUetNQqdtmxqilU2JkZtQYja2Zz0GqTIUO8axupU9qb+IchyOK8diXoYdjaG6IGUBraIVaeYvJWGyVvaknN+bnkMbei3Hyze3U2Y4UzJrQqgtEc76+03Vom5tV/v9NhzL9Xe/GUZdfmY9UZi7iaqc3ysm2BIilunKcRvqvzpL/Lzl7R0sGp3NG4W56jyqaIs4jZsmRIbrOiVB0u1hdEPLYwJnBeI4l4uJpxl0GOVzy3ANvsjwl1wNr++PlgYcXLlwKavWQe/KlJJS1cp0k4CbTCgmOBTP4LYj8oO1AJHGvNwdQPMJ4rqHPxLbzZ0rUQUAIuDbOVBwSLo0KF6dnfA3bMngjOjTAQv7yzLFJ8nRgAx2fhZ03zUXslzoQLgaF+2SAXgFmlvgVAVom3wRQIRqKFcx3LQipINoXZRliOZZHN/oOcjvShmgRlou9TWyYRm1xAymTkBaFQ1OD73mhggpq+UpWEQoqUFPmxvCfZXNs2xSDpr/AYBHXRYxkFb22zCy5xJxqrqYgJ9Ul1P71k+M7fsB80aiRqnYETBcVzjhcvyBkRu7gTxw2c6B4SaHeGIA9NK97HXl7R0sjjGLhVZFqozEckFWLQoCJN2dubwe10FjKt+nDBGbzbmAcgu6t2EhRMBhBO2nSpMeJ7jdVPUd2C7KCDdJZMCsCGjK6K6TOG/NuYrL5oywz/IkMBXvJN9zFunQGw3Bg7KIsDi13bMUdQ+gbxLJ3G4CBQfaTwhbDZ3uNYISJYJU9tY6hssMv7cUdbmpXSLNo5Bz668z3GQzHx38VBvBzamyQjUsDSefldyOWR57dFHFZFhFYdy0TFG3vqRxLqIuLqLQvXNH5andvxThF3YoTFZiSRHv9rnONgAgQ0R2ycHpQNxfJPjx1Snqfq4p6pZQ5nYT+qdnGF7agC03dH9Rw7pBk9soi1KV7KcRoVFS1O1u95NEmdhVujl7wvpZRjgQ+otU+mz1fMD16Qr9JUof0OyWKeq7ejw3A/0lF4vHBc38DuXtGSwawRMAMt32Hll1IhZ06pZObPJ3XVfFZJhBw6dnnRb6tJkGBQeONYTnUhOebZcfd8067R3ceEz3puLXmYMrT1P2Tii7JvSi35GnHylj0x4dCoh9kVmnlkynFy17uQGKGf1A8DOBIpUbgjIkW/X4d9RzyYHgjVKuUaE0vGHWqR4rDqT5IUb31natgbinAjICdXbgEmE6I2yawS0HQupRgNfPnHV6kkvmpwwWkjBWs05R6N62zZ74QqVX+jdkhuE0SuOa796adboG8llEXPdlsIinsgS7oWcxWA7LD3vWqaWXc51JUN+Dpwn+3ScAgPRJFa5BSlWhibkI1NATETGhaUZ+eSHKTNfbotDUkrL81b7URQDchRjm0qww+sNz5LMN3NUOdCq/MPcd8OwFMM9FGo63O7iUwFv5vh2r/2grIjC5RjjoEFX2Tp66reT++qODGBU/tBxmRjxfwcWMvBlEIg8An65BKaP/7nNAB1JTVvJdh/XFqvbh1VaiOvOMXpc3ZvLsnAPnDN/J+WYV+Dn9zq7iEImrY1io+SWD+lS4MaG71sGmURBPJ51+LlEcd4joLucyAHRX8ptvvrMryy6L8AwqymPLrm7Vgw4T+OVlEa7JnSsDaQ51vb5+5uD3Gbld7mUuS4+Nq7kdnAmrFwlhdPA6yzz71rUMwGrrUGQLIQM9D12ZzRVlq4+e451fP8f6E93uCGnt0F1GnHxspDsBJcxDFdA0/1kC1O74AAAgAElEQVQG47DP2CtZr9vlsvywdufe4ck/2SIPHt3T2mdPHn0Jq2cdVi+arGcihH2SwSbywimtv4wI+4ioOq2UGb93fXcs4z4acl/uy325U3k7Zha3lFeCm/aZzRKceHZSG7X4NH5GrUReMwNIBaAsknBZhG4XS4O71KuFLBKSM2C6Bl7YOZw1DdvSpWO+IVRLqbJJZYaiFc8RFL+4n62NCFHO4AiZCSUUZJ3JlZnEwu08ij4GKWBIcwIRST8mVz1TgjGU3rBYJEPT/wkMR65GGrK2Y86w56BpikBT5E1bxM0yAxHs5fOFQ1o8B2TRn2XkReUrSkTIFR9Viyrp16PpaLgiq/epxzX8xi5nr8Bz5EUU5k2TIG8rb+1gsfAoBRbWANT3IngLAH0nDmN9v1gr03olF5S+li9ryeeytKDtQdbUDzZA4qL05OcoeEbwReUb3oM2a/D5aWFaEjP48YNyEZBGaab3TkRzMuYyf8tDwPRAczFejIgbma53lyMO761BzNj8rixj4lmP7nJC2gT466mItIbDiHTSI236Gxqc+YYGp7A9aT9hNg3OZ4ZZyHQ/mwanitZef21T6M8lJV2jLGbdN5179FdJ1+CVgBX2GWEfCzBnbXbMGJ+s0F1LO+ezABAwPejRv5Rl02s1OGPC7iuybxoEcHWJVSlLmrB/x2F44Sv5DRpepA7dThS2Vy/q1H77fifRn738DuOj4Q4anNoG0+CcE178PGE+URp3gNC9rzwORYMThWk6NxqcIPks7D327xn4G+AnBWl1icgO2H6lUw3OUPrsxc8EbH8s4+SDaoEQT3SZp6WmpgN+9Dc0OOOv3z18/ZYMFoxXppXv9YZYgJONg7j36k4elq5dr5PVM3CwC4BzyL1EGcxzNHySxU90cpVV2QUBMu8AcKbegQYvT9GiP+CRBzFSTqtQLjg3d4gbATiLU3jnkAZf9CEKxbvvkAdp6xcBcIq8n+IxCnAKEEggDQXOGwLIw0+M6dRmZAx2Dn6UNTsAsfpzQHYd8kBImkcS1xIupIQ3AjhNuk5AWICyaEfYU3k+BdxECwanyN0zQOJqHiyKMTFSB8znVESHc6DPBHBODzPm51pHJ+FRyoTpzEBLKtGQeMp6XgxkKg7s8YRLvezk+MYAzd3tAOd8CuDJiPFqVQbMuAbA9XgFOO2BvP9RADhvKZzU49PyMpolAG/3gHIXaGeg4g5kI3GM4P3hUwHO8EyH3zkC3iHoPt6MhOYId3UQ1W71/nAA+PoaFGNt1/V12Q5UgHP1e9cyIzEPVAAheHQX+rTdz+jsRp0iTtRaz0Kbwye7miA2J7itTlt3B3SfOOGAmOy9zmb8dY/1ts4s6HIry6txQqehXbpWIFel/f21PhEV4Dz73ea4SQcvNVI2ivamdzJdnhJWqwqWCWg71wFoktkZzQmbKZV6u8sAJoLfTTKzA0p4uu9C8XkFgLAaQIcRfHlVVLhz76o5UajLkJPve4RdEpGYIgwkWb0uZWRfwUxKGWHfIW481t/fl/ZyHyrA2UrqB4c8hJKIZ+fonl7g3W88wOZjvca8RHm661SyWd1sAGc1PJKIjvJSxoSDZuWe/t4El4Sebt6u3El/p8HJdaF99s4/6bH9eIX1s7oEz4HQ7ZOEXjMXcSL2AnyGbUI8sfA88OHu7suTe4DzvtyX+3Kn8nbMLFj/a1K5WTUo0qX4cFQfEckc4rI8IXkKUb/wBfHvPAEfDsVXBACcd8JTYK6Yw/4gAOTpRmYZxpN4/gJ0OAhGpOFG2qxBDx+AT9Y1dOYd0jvn8Po9p7oQ8WxAuGRgrqM+B4d4LovI/lA1KsJuVBtAD/9bT6We/sviSXJ+Crq8Fq8SAPz8JajvML//QMKwqKBs60sCAP2zDrkP8LsJ8aGsc7unvcwQgoQGzUrQzHz2jwZ0V1ZvJQUZlgCofeGLCWmoituAuji+3MG9uL7xE+cHawQLO+p57378DP2ltCsHYW3mwalOpKaCrz3CboO+7zCdy/cMV6DINfEPokexfn5zDZ4eevQXCWnlcPat2rbx0SChV51BbH/yDFHrjitCtzesS5YhaSAMF2Z1KO097T2uv0ogpWBmL+zP1BN27+mMcstF5q+1L8wB6C+EqBVP9Pr5LsMd0uIpTinhxc9tENeEkwcBYSfXwvX7HtuvmY4o6W9D6C9rHxijNw2CL62eBUxnWm8G0v/1Q4dZ3FKOtTOdE3SeeYlDLLCJ5jshFCyj4BvkAKSFj6nxNcoa3ijUbRZrcyxWWX4Tv3HeV7q3uVEBhTTV/hQtpiA04YojFKzB188NHzEiWPm8CzetBoiQe7UaMP5WH6QdsdYfLO29cyD9jlRbiUnm/t16nRqWAKhcvdaXGq9TYhTzouPSksgKqWhF8KOt9RXLGQjecWFgxrVEXsRGoX5PVLGrLiegVgC7mxe/HEcIV+X3RSVh2ZIirhzmDcHPFZMAUDU8BxT247wWXCANR1YAAYX7YWAmmMpg0QKcHEQgmD2V7UnxqBvnsBGv0riqmFI8AeJ5rkZPUNwm1rbHlZ0rEE8y/OgwnxsY/yOCWdwGeHIb7jx+n49A0jZ0aZ3fdkyRwOf69w2Jfz7aR8JcnDMo1f1aJe+qVs1YSO3rMaqa9lKev2zn+vnCZqCV7FdZfGpCiUxYyPXL9gxEunksIiBZSLYhtzEv1b0bmf6FFUCss47l8W45Z/ussS5YSNmXY8g/Dho+LHkkKgKTqjR/kc9XFW4rbj6W78eiDhexaNvxNhcZfq71FyVuwwN8FaTxqkHhUoYbKzXbMbQfK5Xazaz6G3UbZSAnuqG4LeHoW85hNgZmjVK5GXAHWlC2/bikcLtG3Tt3YgdglHNKqCH5O5S3d7A4nll4X2cWxzL9xSOz+Y5zQN/Jv3YWMUFmARaWLfU4+aXb7a0FgB6L10OJMgDC6kybAO+9iN2Y0lagWmfTphLVcK5OodvtraGReZLaq33uhCpuzugUVMhl8JJEZDOLdUBceQRH5anMnbSTvYMj+Q4A8GYFZAkZFtVx41V4Kv8AFKdw+8yKqHU3fduU0h/2HjJVt3blXlXEOwJ1DBeNPi1P6XDaN8roBKhYRjuzEAXxmzMLe9rnpg1WT7strmo0ZHxQw68uElInA5kBhmJYJEsySdI6PhaXiIyoctv7+spBGJaUGsXt4MDh5h2cVjKziauqF5I7IK/qcQAUZfHaJ3X7/EgYt3Ft/A+8EWr59g4WxzOLlhDV5m3Y+2Mz5ZwlShCPHM45Awl1qmwu6nMSwpPt1hK/2mNNszyZjUQzR7i9oPdkxwRAUy51WqGpQePnVMhLmGPZbsekOUldc6yv9vkc4fcJbjRHb5HsBwO+kdVzY0LIIttX5P3nJPsrZuF0GWAUa3/IVUOzmAoxPKFsDwdf3re6MW7U8z1yjl/0h76XenLhMlAi9fekxSwm9w5hJ9T4ynuomEUr1x92vJDCK8dm6HeXFO6yTTELwyhs1lAS1xLD6UAUrA3kkCeRPwzXQRIBYZgFo9szuq3xLOpgYiO5DSphC9Eb1QeSH5vroilhK9hEt2dNxAPCFgiXbqkVGpbaoTYDdhHInUfYoib/aX7NXct9NOS+3Jf7cqfy9s4sbimfRgG/UQyraDELMkzhDYbTo0JJMITSktZi0L1hGz9vObbiYy6eEdJWBnnpgwKaZcjSKMv7QimPaUlq+wMopPRsaaudCql7mE2VhYtgVPEvtLBOzVmdyYoQUiV+LQSAmnZ+0WUh7HMLpnGX4hobxc9SfqgGi+JQ1mITr3IeM21OewXk1e6klgEKVIeudl59XCc5TdmmZYp7cDW3pMU3fEWuASwcw1o3LvjGSczVz839DPZqn3u3xAAcitiwpX9bHYUBuhAN1vZzi5XUeoseBRv+4opTGKDswtZdzLo8suJBt4TjGge1Yv7ckKfMpcyyJB0qZuFmae/SDUxSuBfOXR1wm7itOYm1WIucl24rmbX1+KkDXMlcraHOmsVZ+zd3aMhPGmbtqLiPuanFabDYL/dYOJVlT0WIqC25s/OjMrDmHsg9L34D2a8JnfZ1exrsO7JN7Bxv9teryts7WBzfqAZuAiBf2YT2fuF2DsjF31gDSEmFZwFjGRqVe+jkxrftViewPBagClQacoSuAU2zIlV+gJu6Co4CyEMo7Ll+6BDXWkdft5fBa+jEqrAPIH2VNvgSgnXKe3CFx1Gp1tB2lZwL084IzStzFf+NCcgZ84kDKS3bqUx87p3kgOipTKeuhDxLbggAEISVOt+8rEp/6HtA6dP7CnBKO1XHQ5/gcXBwo0RD5pMatpRoRWUoAuLrYXTs5bFFuGZeS5q5lflEthlQnAa1HvQCSC4tBMUjxU9U6jQx4vFJRn9h/argpQOmh/V3MSWs+cy2KTDpHPyBMCsNvFwHR2U+EZr28KLiJtNDIL83YXxRZQmmRxnc3AdJwcy0Ej+T+dRjfmCJftRgKa8vb9dg0eTkHwOczCy8gGleqF8tFbGaxJ9Z9qN5brbV7xmt2hSu3G7SjM5cjscm3dcci8ZZFKgMKJujUICjqneptF9RsmoAzlbJyu2mInFH+wn9ZSz1lfaMk7TTXvVz2k/ormb4XaN6paVvbAL8boabM2g/o7tSiu+YBKnKAnY6b8edwczoL9JNUtaBioIVIE/UTr0rin8KIAlg+wk03pRfapW97LxXL105FneqfTGJb4aFTimbUta0UKm6jZSVel98PdqS9lRVsHbViKq/WMGPrlC4h4sBfpK6U1dvSuNZ+IkwXKp2yCwyf2E7Y/39FdbPWoAT6LdcBuaWlNWZcpXOaoSUxQi6vb+M5SHQltWzHmEPrF4mdNfy+erjgNQPWD+t6wrxYql/V1KWzHSGF4D7jEpZ9wDnfbkv9+VO5e2aWbTlaBlCzXT+LgxOMqd1y0oFaij0czA4oQxOWxbAO3kf/OI7XzSDMw0ebrJM1ySqUX1lOQJA7qWtLubKp+i8ALH6agxO47H8gTI41w7+oPX0ssxJK3m1GUNcO1B06LrwxTM417Is8bPwKMr1pHRvW84AknnL2n9/MAxOWYoYHR14cwZnWjH8TCXzlRJ+RAR7byu3kH0+dV/vFwAneS+Zp29Sz1FhGxQaMlcOTvJOjED1B1EarNZASzGraUlSAkxStwQ4OQhQK65r2hfBA/kPdqIprm3Wj4INMS0BOnEyc4ub/Attj0MxH8q6YqGs7aR6c9k+rSTAF9o2V4+f+s/2O4mHaqPo/YYBprdqsKBBknR4jot0cgALTU5u0s5LCvr1dvkd0+lUjU4AoCePJESYM/jpCzmWJqS5JJYApq2ZtE4Ai2O5kw3oai+Dhh7HX42S+k0EfngOAEUjkxt6cauRSVdb9JqUxLs91tpG1lRx99Fz0fWcZ2mjYi+834OevkCvClQAYDqfrcYnoJjEHEBTRP+JrrVfXguoSQRKGe5aNTgfnoKmiLNvvSw4TmGjele0MQGg/2QA7STRb+iaS2iOwFXz2zSlB4pmqJ232583quWuaFrAVXC6fyEzHHZO2gYUncySQq9l871V8X9ti/m9cufhPnpetp/NSbY9vQAgSWFp8HApYzrvigiQqZiLnqd6s+q+HAhf/ocRw3PVQ3UyaPsx4fy76ik6phI9KzNLvWnDPoHmOvMbPnhZxZaa8nD1rrSB62D6pW8ccPidDuun+7JfXAeEff1+bqJWV18LOPkoFnFhMON7uxuHemV5qwYLyzQFAH9+LpoWCjKyOqSnjz6G//mvw70UPQp+dA569hJ4eA7/XH505AQ+3QAvLsBnJ8BeTjN/76NS/+EX/zAA0Y2Ac9h9dQ03cenIB9/okN59IKbEFzJo5Ien4Jgxvn9asi0337nE/sfPsDFw9vvikPvRv/GzWD/PxeQWAOZTh+378r2zDxIOj+X9yfcTnv9sAGXga39f2vryDz3C5nsjxscdVp+MGB/LDXby/73A9c88wuGhx+YT1bEYFR1/EHD9lfqke/A7M9LKob+IuPqaXLhnH5ralIMfM6YHcrzzf/wBAODbf+4nMbzQ36AoNgkS7/WaPLzHWH0iIbxJxkYQA901cP6dyrQ0Y2XKwMuv91g9l+37dwTMnB4AJ79vTE2pZzoj9FcMp/f84Qlh9Yzx+JtX+PafFvHmeMqaU0Ei7mKz9p/aIn/wQOz8bAWZAe4Z/dMzxJOMd35dGkwJePHzhOlhxrvfeAAAuP6qTNHdSMgDI1zX2yN3wPgkY/39VWkDAHz5H0b8wn/+/+Dv/YZcT25IGNYz9p9s8BM//TEA4MMX5+j7iJwJP/ZIBrx3Vlt0LuFbL9/F86sT/NQ7su93/tefRLeFuqjrsT1w+XMR/eMDwq+flj7b/YWX+E9+9tfwX/zWnyjU/J958gm++fH7cMTITHhyIqPB+yeXOJkH/L8fvYuvf0mu0etpgP+Nm4Prq8pbNVi0hWNcJP1wQxii3aEMHrQ7gMdRXmOlRNN2jzzNcPp6XEf/XGcUVyKrNwyytu9sujtOIn4zxyLhR9sAignd81DW7LTdY3g+gLZyJ9mxTr8f0V2IorUtDcI+gJSsv346wZtz9rMRZx86Id2ocvPq6SyyecwIF4fFua+eTvBjh/6ltkup127qoc9wqff5iNx5+OsJJ7rc6PS8w+BBY9Lv1IH69APGcKU3+8xFtSmuSWjJAMJe3MQpM+aLuq7v9hnDs6lkwxYH+cQ4+cijv9BIT5Tzni8J66eaXt9ZNMCh2+VKaT54DBcJ7nKP0w8ktzquLTGMkXoULGU3nuLkkzplt5IDMLyUB4GpcFNizCc95ue+CNdQFjUuibKgULgB4U30F65EPQyjGJ6P+Hu/8Ydx8ttVVi8NK5xeED7Yvy99fuUwBRnUvnUm5/DPhgwQw18GhD3wW49E5vHdD1miMKrlCdhSLGA6P8XZB7n02YfffIL/dP7XcfhnD8rp/uMHD9A/98UK4IO1DI7fWb8Hmgn9C4/f/EgEkigSDrt6vbyu3EdD7st9uS93Km/tzOJTgcIWYDTPEdcwIrmyG18FZhYykmWXegJnWsTtoetPi8SwHbdxQDdg8bi9xnLkxuuUvZJzCEXbErD3gPotyrbQHOuW45lTNwBQwwptiUQt27ToFvh6TGoySWu7GzKSZoBLu6mkO+dAyF55L3YFsXAMjEkKoFDPCUp0KuxU2Z6bduWGnSnRBC5/i0v5ceYmARCeRaHc9eqT0QCR4Ib92GHRj9kIVNYG5Ug4jX7kpm/YK+Gqyby1fnRDWtgXlmP1tsTiYrnIg85W+gxyQpTKicB9jTyxanY62G9ldfKyz3rGyTBh11d1b/SiHWszC2sDeiFr5Y7rNoc6LbtDeXsHCycMwyr5T8vPLMSo/qMS9WiQadKbnJqbfVGHvg9ebwYhGBekOQRhT+p7ABIWTLmAWHacdrCwY1n6M7Er+5YUapLjlAtsELctyigMwxwIeRXk4ul8iVpw34mTV9OG9jU3XWD7vGrf5XnUtOdUSI4mHiuYguXk5r6GL00kxsyIc3BVid00GhSUM5wn9Rr1CFgMIPJKgjk0tHfWB4E5kuUeZRBLQ73ecy8+n9ljiVlQZWcaw5WS7JtWKO0qA6W6leXQZnMu6eTtQD+sZ6RhVftvzcg7KgNDHtU7NQPQQSGsIogY89ohZQ9ayXWeVgGUZX/T08hKDeew7LO8yni83uGjTS64jV9HCWcr8c7a4FcJifR+0TYw0Q82RZ2I/iaAPwngY2b+Bd32nwH49wB8orv9x8z8a/rZfwTgz0Oytf59Zv77d29OU1LCUjimGQEtbRsAGaOz2YaUgE4iKhSbyEpTh6V3W8q5P0RhDVpiUIzqaZrAxgKdZiBJangZkFOS9HI9hh0r7LIi3Wkx0HUrY/XF8lT3u4j+ugOYiwhv2Ce43QTvxNHLGd17nBB2Bmxayrf+HRy6XcOoHMX3xI2x+pdaWjvL97xFIFQAub9m9NsGsyBSzQUgjPa0dxgusyaCNee2Z/h9rH4XJnaTGN22R6cenSX/I7nSrmKZqH1nZsXdQLLPHNFfacp4BCha2nX5GuLaobvkMnOTH0Rusv5CQNPusp5/d+Ul7VsZkTZgi7o3V1k9aH6JE2YmgJJQ5seE/ScbnF7YAwHIO0J/CUS1XeiudVbEwJyUWt7LDd1dOYQdYWTBDvpLSbNvAU52Yr8AJvTb6kXbP+/x2x+9g/6pL4PFPK3Qv2zo3kqnTzsPPwPdBYGdXkuRRBzpjuUuM4u/BeCvA/iVo+3/DTP/l+0GIvrnAfxbAP4QgK8A+N+I6GeYOeFNiwm+3DKz4KEDDlV8BiGIyM2+WYasBtDhUF+BCoBCfDkAoDtEwAHzeQ835fKU6b2Xur0DaYdzF8DeI54NJdTlLgf57qVEK0hDieMjzfsYq8zdfOZxeCzajWHf4fDIcjAC9o8JxFRCsvNpQLjuMJ91cGNEPJF6QxcQTzuMD0P18dQ8jfm8KzZ4ANBd96I07QjjY7mr/EHamQcPN3rMqmvZqTL6/l1X8i282u6lnjCfVJ2E/Xuy9KMs0QtAbr50zQjbJuTYKI0dHtYLenwg0+TpARXA1xKeplNCf02FGLZ/TGDXYfh4wF59OOJGB4tZZxla7/5rUW4EhyKjDybkXkyK4wbFUpAy4/CuyPWbCvfuPYf5ROvtUPQorH3Tw0rhNhLV+Xd7/MRPf1zATO4ZPGTEZwHupySKtn85AJ0AnCePBAjfDBM6n/DR83PsrzucvCNRi8O3HxRz53aw2H2FER9G9Fdd6bP4Ewf8a1//Tfzq9C+UPnjy5BpPPz4va8D+RB4+55sD5uRx9dEpzr4kOqTTFOCGu9+ar52EMPM/APD8dftp+VMA/g4zj8z8bQC/DeBfunNr7st9uS9vbfk8mMVfIqJ/G8A3APwHzPwCwFcB/KNmnw912w+0UMoF1KKk2ajHuo9RTYnt9ajYNJdyBrJO2edcQ245y2dpuRSiOVahXED+HlMh0nC2kN8yIQoA3OjgD/X4Znjj54xgvBqzt5vlnPwk5CNviVVJ6gz7qmhl7fEHj9BMnd2YAJbPLQzYtt1NqdCtLazcqk35ufIkmOoyJOxItB4TlzU8sSRE+alqZ1CSsDGljDBWXU0/ajr6toYnbTnDjrTvpI5u5xH2orJVFaCoziwa/lK49Ag76MyiWYaMVPrXXNUoszqFUaM8JU9jNwtQ2ipOWZp52NYZi/Xxhy/O0V1Z9iwjj4TummRGAcBfeVmGZGALCVseVj2IGOmyh986bDvBPJ4cWPktVe+TdbkCCghbLn3GFz2++fLLwGVXZhbP/QncZSgA56S40cvJI88e4SLgqtNp0UzI6e6gxWcNnf4NAD8N4I8A+B6A/+pNKyCiXyKibxDRN2aMr//Cmx9g+XpUmMrvvQApF9tv+55TtN+Qf1dfWwDVaMMApJcdCkrPHiXSYhRtiW4s2yevNRLTvs+BahtUU9Pqtn9QVJ29K4Cr7Vu+Z+1UENHcs9i1IChK9EXAxuZcFv+WdPNlv6FEsdhp/zfamFZ39jVSlDW123Qyqxao9Gd7ruyVzuyhddR/ljLOGomyf7af/c3B/lHzvm7L/nib9HHfR3Bg+deAkegY6Fj3ZXDHcH2C6xN8SOj6CCiBzIUMF7L2Tb0O5Z9oZuSel30WMk7CVI8dGD4kcMfgLoP1+OgYvpPj5r62AX3+4qMhzFyokET03wH4X/TP3wPwY82uX9Ntt9XxywB+GQDO6fHNFt82W2hLbvQxj3Ur7mACW/rIVLlZ3i+2J1GqLpTtT2vPbcfI1r4mFKmvx+rcpmBUlKsYovSs/WBeqgvVqy+g0FEfiMGv0IyLKhRTUbAqClKMYkJctDYZIEj/LlSxPqvoVaNSVZSqWuUn28ZHA36zb1ETZ2uz4B+fp+RMN9rQmhKj+buIIGcdeFWxzLabhytnwNklnjWGfVyYENlVpXndhqxRubYNb6Jy84rymQYLIvoyM39P//w3AfxTff+rAP5HIvqvIQDn1wH8n5+pZUcAZwl/AgICumXoVLY1AGfwJUvUwqxt5qpx9L0XVDoNmvVopjn2XU24KscCwL0r3+80A7Rrs0KhmZmaQVmOuXLiRanHmTWM1w/iV0GNGE0aJEMyDR5BXwEAziENki1ZzqHUX/1A7RxT7+DnXL05e1c+86hZo3aO8wkVqrX3FuZVf1ND3E8U/GMUcxy7MNPgS75HGXQyY14TggLFxbN0Q6VdFhaNG4lIWMJv3BDiQfoi2uz5VJYFfq7AKADk84j5SiidvOh3NfLZoGSuEjPmE6FtF0vBDS0AzvbHS70I15geRZsl+mOPXhZmJg8Z6DPmFAqYucUark9gJjx8KKDn6TBhCBHfzY8whR6PdHvcrGD8liKmS8B8lpEfzIibofRZ93CPf/HRd/FbD98vUjDvPbrC92Kdom4U4Hy42WNKHp/MDu8+EoDzMAc89Xcfue8SOv3bAH4RwDtE9CGAvwLgF4noj0BO63cB/AUAYOZvEtHfBfCbEJ+vv/iZIiH35b7cl7euvHawYOY/e8vm//5T9v+rAP7q52kUAJlVvGra76qLuqSM307KWrwet9NINabvEAiZXZF3E2+OINL5reZF/HRSlhVx8lZdT/0oqxYk68yieEgMTkOAJCFg3TcPQdamna8koL5D7tyCwdkSm26Qsnx9XexreMRRhrWxD4E6nZf1MpBSJUWZk3ka7GAoDuY2W3FJeBqURUIuFek86yM0ZKzltht/U/XWyL09erFIJHOrJB4eBLCvSybuWPuTy1PZqVdHWrFoV6ASr0QZqxKwrH0cuDJNzefDEd5ZbSXXAwD6jLCKSL3HZpCn+mHVC5aQCae67eFqj95FnKw3SMmV7S9Wwn9gjwK8shd8wnV50WfDEPHV/gVW66nMLB6u9vikP4VzjJyptOF8OGA393BdxqarWcHuR4LBaU5ct1iEVWoAACAASURBVBXmI3cy3ddwjJQK689eX1Uo57qe42axmzPo2Ask5jI4FDBSAbuF6RFQoghgBqHWb99rcYeFd4OlJzNkoCqOZ7rvHOXm87UNC7bjgu6NKirrjwYWAySLnoQ17JVdVTEDYlCSZZP1l2AAgln4QsoSzOIYqyiMy4Y+3Q4aMui1A6ACuQWQtkoarAAAuaq63q7js687+bn9AoBcVbyzApE50WJgKG1tBhAOTaTCpXJS5BhELIQrb0tohvfykBmCpvm7iE2YxO0NdV8otlPwGEi/csfourTos+AyVqSJcdrU3kV4n6VeolLvys9wxAhdwmlfAwrO/SgMFi0hC1hK7KseZ9lOSg1vZhakmhjUaGO0dbgjIxc3SaajXQSCvstMoqhpOQeaZvh9LEa4mCPCvjET0mN1ezXBiTVd2s9cwnEu1vAgAPgDV6Up/Zw7XxSY7YLmTlLZ+60wRAFU85/OlRAeoFoJGfD7iH4r9XrVOqAsRkHBaOQ6IIYtECy8O3PRUGBfb7SwkxuMotjlSQWCI1ACktbZStb7sQ6QpvvYX6CwRdNUb8zumsuxcu/QbzPoEGt4maiwOKHWAQAwXfRYb03F22YWgJsd/IjFjJCShk4bUld/AbEAmGVm9/+39yW9kmTXed+5QwyZ+eZXVT2RYnNo0lwZkAEZECBI9sKAAPsnaOsfYXjlf6GNllp5a8AGBAmUFjIgwASaTZAie2DPVfXqjTlExp28OHfKfFXN14PUr8k8QHfmi4q8ceNGxI1zz/nO96lF7hLvJwSayIKQ2KjUisvM5XWkQWgYwq1vBB6fc8Wnu25gpQY88L4/AgBM+wmIAq6up3BzhU8a3lcbDmx6WV4iQQHNuYTxPSbVmJ1dTvCPN9/Hct7mIPrb4hSryw6xdAYmsqnNhxbDWsOc9fgVHnC/rMT6OeTKL7L7M1kQbXoSnqNcuTy8Ilkh6zIugKwrS4JMsBvxET6Uzy3LhLDGIYii3J09BmMg1oZxGlm1zIIsK3ql+geyjM+gqMKVcBZyZMyBGH1+ewtF+eESJmTcglw7yDVPAogl7nIdYdpa8Oda5T6I0UOuqQQSbcJQeEZdpnEyHoIIZH2emNK+JHh7njQ38CFlQgPxEAYByBT4HPg/4cLGkkWtA5P2pv7E8nwKfK65xH0IsZAMGxMmwHUU0pR95Zr3IecyRiWhG7MORjQ5l1nrs8ZZgLi/rqlxHQFqJXlSSOpqa/a0hGHPqe4beUAOZVu6pmQ8zm+meSLzjuC8hFoSVpFYSC542QgPjIrXYM5xmZibK5ARWN3wem6yDDy2orwgvCXIFcsWymocMdd45+YEYaEyTmWhO9BC5TWkjdvnnuBHCbUQGPu4DjRcPHlXux+TRaocrWKh1LUIo4F8wIQn/vIq/1vo2wKC6lvQcsVv/SMmMcFociYDdZaksgSfFusm/i0hjMiR8XB8AHM84ZqRJIy730Ncr+AbWXFasqJ5SJNZPNZ6jyn1xVgyImYmGR5NQDOXGGexTmQlYfbYpfZHMwDA6lSCfMfQaEEwe3w8ddljPFARNLQZcOBsS+U6txKuFRCjzKQ+iXPTZw7NmB2IMaDxoLj2wpRsiJ1QfljHfUSZQXC/03URwOqBzqAu8hyzkKPHcEQIxMccDrldryn3K8UxzIRTtZkwaAKogYvpxnh57SSKBBvAt/nwcMcG46gzjgOIKw3J31wXMhyePLB6GGCnAcNBzGBNUzYkxkfq7FkDmFlh4c5cmq3E66dPMh9FaDyoc1iHJkO4F7pjDEWgnPWYRbj3J80+VjctvvPaGQDgyYNXoVZxcl6XJaPZC7AHFnaq85ipkyX+6OQ9vHt8kh/6l46v8VE4zO/e6ZTfTgf9gOuhxY2ZYe+Y+zCOCuJzZEO+KChrZzvb2e+Z3Q/P4nlm7G0x5Gh0s8yVoDRfIqxH0M0C6Nq8b1gseQlzdZOXMnUb7ceca6ZhDQiB3nFwLrNdGwu5MhDzdV5iiMUaOL9CY2zh4Ly4RhsCcHENAPlYB2+vIAdbRIsBNBcK3TOG4urrEd15jCMsLQ5TYCtWkE4/4diIXDnIlYFaRg9gtOgfDxArC7HgV33qnz5v0Fz0+RzVs3nk5hwhF/wqTBSBQcnI+hUZnhb8Fjz5mSlixb4QvPpGZJfffipYQNmGLDJEjun95MqVZZfxCMTLrAOgVEvG9b0aHFRk+0Is0HKdghxsliuczBrI+Qjx9BKnP+N1ve2IAUshVrBGz2/9oUZ7HTaCgFw6D8jRw0tAL9PSLUAYBdsRZh9F7Zj3A+NEonB0FqsGt2enMuu7uIoz8zf/5zt48GEKkgq4TqG5DhjeZVfoJFaRkos4CnDWA55jFJNlwJMHXBVx8E6MnUkqYsuKsPchYCYSs4+GPGbLnxzgr9/9E0w+KXGbi26Kg3nIMQvf8P1wrRnO/mgeMM4O+To4gK630mGfYfd3stiy4LfiGfl7lQ2pzTkWJoqf222IBPbyAQGc+cjINyBmV7DZbsq4GJsRlcHHIKrfDKKKMZanhwBKdQTkENacZiXni1q29aWmIokgxQxI0lbNQkKeswtitIXYNamWC4IYSs0298sDxkKMmyJGFEIRRqrGVK59ocWLkwUkbaCC5ToGhG2AqB9K47m/KbPiA3vyofo38IMbCBCDy/0KMXshAdDaFLToICBGPo8UX1EQFYK0PChecz0OuULUg8C1FsIGCFGk/4QNmWM0xQbEwCX9TKvnN9TMk6RgEgDKGR5joRfIgkQsWcn1LUmFXY68HBN1VstSmcgGlNoVw331QEabirgdQWyMmV4E6GvieqCUObGAXiLXhrgUKNZMP5D6BOBzq6jf38niM9KdNaENKtnCzNAk7zBb1oQ4aX+B/IZDosmXAsGn9uVnZha3+x+EAHlfJAMTHiPWa+Q0a0XVn7U1BN2WGATHSMJnjc1XYakvAPeBsEHbHwSxpxF8SdW6km1I2RDpAYg4n6eaGsRajy8gmVCnfVMgKGl0pO0pHZxiIOQ4YFozk7EJJH7R5IV80TV5nTpPZEF1bRDXzPA7rejQRjyH5Lk17yuJEeC6pMFdU4rdto/L7F0oEieCEChm4Fx1Ul/BLXNPJovoHdRbTCTsXQ23d7c2p/rIyOJFRNLcYO8wXcZ9KFWlKslv9VgoQKs1pFYsxfccavvfZmQjTsMVbwEeIOU5tz86+PS2WlsIo/lNM2cXUzYKYrD8Vo+fAC+bxL+gVgX5UOj5A0Ces00CIhMDBUE50yNUSUUK63npld7Uo+WJ3fDSJFfHVuLNn8dyBa8QPJbp+UkBWVsqNfMb3Mc3qA38Lli43JbXGkGELMv4RU1YlHMGixSlbA3/e4jp7/ImFybkvgkXcjBTrXyWZczEQPb505hwyNW3OSvUBAbDxfqdEFO8X4WczS7AubOd7exOdk88i+fYFihrw2ppwag4RtU2CgG3nbbntBF/H5IqO1FeMnBxWmw7BTPvsryp26dUTp3ajNuI3ftccq5lcbGrFGxoJa/7JS9pAF5i1cuSr9oCVcAlH5dAorjS3Dew0pmvhImJ4D2v7VOxWgiS1+rx3FO/t0mC79y3mmwYfI1rct9ckq6QqfvIxZhBLG33lZpXLl/XKUj7xTyMXOqe2qxK5HO/iCJ5czkXCrHk3BY0rlcUuWApexS+oVt4FABFQS1yZZRtlJdqdR++rN2PySLE/1XBxZRV8NecZRCTCZeLR4rnsOQlBwmB4DyICO7x09ykfOURxHwB2ptBJIzGRPByxwf4SSQmuRhZ4/NkBlq7HDPwzy4gojKXj8pkYjZFOD2GPehz1kRrhfHRPvQncZ0e6emWJx2ay3XW9AAA12sMD3gxPfnYwxzw9/bxMov9NG/yOdDsVahPL+GO9iCuFnBHXNWIZxegSYvld/ahrzjSncBPbqIwnJQA5+RxA6cF1NJifcLn23/a8A2lJcg42Bn3oYvl+ItXNNqrWNuRg2MEMxE5k7A8lZicOXitYCblLtRLgr7w0JfXty7x+rRHE7VJfHw4b96YoD/nfrmGlyasS1oQnONMoLnpMWkUVg94jFjbgxGlrpI6XLxKmDy+PREtXlLon3nYnnDyZoFlLl7RWScEAC5+NIGdcHzAdYXohgmHuSK3exZxORN+KA+7B7j+kUWIKN8ECR/3JZav8O/1TaoDIpi9GAhVzDfRnEvIFcHs8b57H8YgZxWjkOuAp/9Ww8wC9t6boL3m6371BhC+N8fil7O873jk0FyUl5rruB3Xe4Teo3miMB6n5Q3B/sPvBNz7M94+SpUAZ/quFG4xgAMF8LVlvougLFVASkTlrShTm8DGsSBiYVcWFBb8ttrSObW9gFrJrbJ4LkVPx0vgGt2pvD15L76VCErCdwoifgKAkPzd9gJytVk45xoW9s3nqLhvIYoCAxUoq2E2c7+lm2mmBDlGuLaqJwtmKgcYvGQXsaR9Uo5HQXB/x9u3VRqP9B3gBy4JGXvNnovtIygsjhuLG3FGxsRyeH6gAW+KBwEAZj/ALG7fNwzsItgJZTBaOlc7KazjtucydmEia3jFQ+I1l8anrIWZ8uQWBKE5HjDuz+J5hEjOS7CHMWhBKha/Af6A419Ce2jtYHwPrwXsgY19lc91A8wswEQR5MSGZg49Xj+9xHufTso1OB5hKqSa72OMZmr5eIOAPuRJ21kByG/oZEFNVMfaxlgAIKUQrIXYmyGsVoV8N31frTZ/Yx3Xinifg6d0sM/BTGMYgwDGaQCAPms4rRiXAbnN9D0eC10DOV9nklwYC3UzgtYjLzFmfOH6TwdWFKt0K+WygXB9PN4yp+bUszlmSY08BnT12RI0X0IJkT/Tv6tnc3SdhJrHwKv1gEBOTSZTCxOp/Cy68zgJ3kQltuhZZD3TSQesR+y9b6FvIoYlBTQloe1kDgSqVYPmgr2utlJRl4ODejYHrW4zn/WfdjweQJWS7DJuIXkbbk4QY8jpTLkWzL4dAvbejxiHqCSeAoH5+CuJ/vz2UsK1hObKwXUC+qyIe+69z8rs7VPeNj1QGxIHid2bPBeVtReE7pLbtx1nUygA6qesFAYga480C4/mRsfrUPppo0frI63/5Io9BzvlfWcfDTk9W9veexPYiUR7GTKk/+AtiQ+uXsXhb8p+436P5rpMAC5KS7hWw+wF7J0TzBPG3GgH0HD39cm9mixq28BVAJtew2hycRjF7zSazd+EwBDmyrMIWjE2Qal8Q2dw13LgCSY+3D62CWDjWBAi4yeSUQBPQgLZo1HXQ2kzmff5oaflkAefVusMtEnHEssBwRjQap0/U7/Eas0FYanOw7NwMFkPPbclbJ3X8pSLzTgzEScK6zOrle/YQ2suR8hFrMepJgu51pwZiuebJh25rnAd69jf8bZ+Zh4PlJuumajSL5/Eh9nDSMdWCxc1PhSaS243NIKXDj5seaANmuvbmSunBUsvNCL3AQCay463RXCbWs5Anicir0VeCggbWAph8Fk2gKUTBbwmTD8OWVIwUQLIlcss3Grlc9o2kxDFatpmwXU7GcJ9uS6YmMra6x5qFXL8BQCmTxwoCEyelJeEXtAGliJ5Xq4BbpRAexEgxhobc+tQL7RdNmRnO9vZnexeeRa1irqYTjnQGd+0Prrn/vETqO9+B+ImBqoOZhAXV6D9PciUSXCOsxnzAdQ2eRniP/g4t+/+/Y8BsLsfiDC8MtvQDZmMBuFwD7AO8pqXLOFwD3Ae9rDPa99mMLAzDdHHdeITLgi6/E//Bu2lZYXz+PIzM4XlA9bM2PtogvUht9E/meHqew0QgIfzRwCAxRsn6B7vYTxs0TwbYI4YJty9pzC8foL1kUL3LK5/49vZ7DdYPCqXdP/9NVP+XQesXoq6JkkWsOUSdbPPS7/+/7Ev++Q/fB/tJS+lhIlVp5rX8mm9vnpA6M56kK8KyQIjCmcfTvNypfBYBFx9b4LugrcPx3ze632B6ZMo8BPfgGZGGyXqw5FAd+Gx94slPv6PxwA41iEivqBWJFt826H/uN/IRFBgWcPuvIXtgZMjHl9ywMUbCmYGnL7JYzB/ian7Eq3edon6eAh0UXckUfw9+qcBy/96iQ/figWPTYDvPJrzBvYPol7NVYOgmDdFH/Igtq2FEh5nlxNgrqFOeCm0/EmlG5JK1ImDmebQ4+Atmcfsoz93+NMf/xx/97MfIqWqpidLLJ5OMtxbTNlL6ScjrJE4e62HPuU+OCvh//dXSKv3dRlpxWXoaQmQ5AoB+FkHkZYLs56V0qc9RJxQgpAIXQssVP6s2wCA9RG7iGQ6gAjDsYIwIVdtThoNe9AxXX4+VgdYj/GogU3KYpcdhmMNdckPs4hB0eUjgSAV5LoQ3ox7AotXIqx5VBhO0oOmMX+NkYh+xjGN5amCMB2GIwXhAoaTmC151mN1qjEcExCimzukak6J5cvFLW/mGrYjBNlg+SBVuMZofiegBsniPwAmsa5m8VqAjUFLuebUW+KfVDF4OLzs4DoJsiy8A/BDydBjDbUu2ZTElLV8SWRXnEWKgPVhyEHTVO077gPNNUHGytXVQ5ZEnHzcYvHtyH2x50CjABmC730GYH33B5/infYREJmyASB4gtAe81kHv2fRPYvX3QKLb3ngZI3Fk66c+76HGAi+C1DXxfH2TYB/OMI1PE52n9sf3tH4bz/8X/jv5r8AAKbtiON+iV8/PsV//sHPAQBvXb6MqRphg8AfHr0PAMxwRSP+8eb7eOfmBH908h4A4K/f/RPoa2YXT0TCQXDW4/XTS3xw9Woesz/98c/xV9/+e/xFINjIr/LHR7/G35z+CEp4WC/w+vQZj03/FBd2ir998gb+7OE/AwDOzAz/s6tmxN9i93ayCDGVV/6uCsmWayDHGtYI1oGGdSG3CR60HBBGkz+322gvIm/EnAvJunMFsiGTysI6LtYaS7CV1ga0XKM5V9AxiyBulujPGoibGDiLx5p+6tFcu1xMBYBVtoIECOjPLYSNxUiXFtOPNUvnxfVqd+mgFhYtAXJh0CYE52jRXjnIUaA7jyxJMWAo1gqgEkPoz8a8Xp/G/jbxN7oRoNHzb4Ccqp69T9BRJpBh0pz7t5cllSqNRHPJ691Usk2ePYv2skJwRj4M8gGTxxLtVbqe0Su7Ql5vp7X1eEloFiV1KAeB7tJDXQ2YfsCvc9uLjF7MBMsA3jUvo3/MGh01rR4AlhPsG3QXMc7jAqYfSKxvOvTPkgdEsBNZPItlvfYXWF906M94m51Er/Bshf/xiz/H8EsuGls2AY8nHs2ZZKUwALjWCIo5Mn5xyMplXc/XYTlvERYK7x6zZzL5hGs9vESOJwQFLH45w3ufTnD4mzJmf/ezH+IvAuHvf/GDTH7z04NXsTqbIPFZ/HTCZPttbzCuFXDW4q9OoxdkBM5WP8Fd7d5OFgBwqzjshftxEVYOcN7ld8/xvihJAmz8HQp5zt09ttKPgsMpkNzA/yX3mULZlgvJEiVf3K9myr7zuHxB24BRp/+w+bndLwqb23lbHE+/2Q5VNRKfy8Lm93ysjWvGxyvAMmSXfGN862uQx/MLgsUClWu8cS2rfm/dmiHBinwM6vqqv55j8vl+edF9lzyKSooghC92DnexXYBzZzvb2Z3sfnsWFaCp1g3JgKu0D0WVrVSM5gPjJaQsn1UbQHFflWDYtWuYhTuzeyevYpvur9HwXdHx0I2G7RV0ZOVOxyo6Gb4AjDrKOhteUwZQNZIYSRiQ5RJdQ0h8DYEAl8BTnvkxzJSgVpEPI0bC7FRinNXAMAXXcml0AjQlXIRrJaRwsNNN3ZBxr7i/otYNmRISpMFOefnhZYDr4sECBw29JsiKezMQQ7MZtxDTeC0AAsZ9yuLDifk7MYklCr9xnyANwTcKNmKPzF6AHAlkAN+GvNSgoxFm0fGf1QvWtwFkBOws5GvhZYCdArZHjqWM+wQz4xJ812KTsFcD45HPgDUzK2P8xslT/N+DSOPVeMjewowdTk44MH4up1CKyVQfHt0AKOzeb4tTLHSHl44Z9XrRTUE2ekYRyBWIkZl0PGLc7/OYTU+W+OOjX+OnB69mj+L102d425/mfu9POY53MllgsBof4AjfengBAFgajXN1d4j7/Z0stti9a7LdmoMTzgHe8bYqZpHJcyqAV91GjtiPFkQEtXIQoy8uuItcktXvKX5PvAcAgNFArWypTE2EvUsmgpHG5xoQLZNmJefem4iCVINDc6N4JnQJ+OQhjGOSmdFBpf46Dzl46IXg46LELJQkNPMykaqVBVnmQEi595qPgUYPleotYnyouWLCXIBFfEJ8cMkXIl/XccaCXfw05oBeAHLwhTTGh0jEHdAsAlSEi+uENRCoOB+Q26ljFk4zB4MYLZqbeP09Izg5G1K4NsxZi+aKNieLwC+A5gYQjjLJMQKgb8AZikzKQxVh73bMghBIZMBTIey1eOvJS2jOIzJWS7hOorkUrGYOQFwrWB0AjywA9LSZQUqP1SVzZn4UmJDmYB4iH0UBpgVBaC4kjG/RXBdOisXTCf7m9Ecco4j2tj+FOesRiHlUzpb8ErvqOzgrgbMWH4BJg70RGO3vIPnNLXseHDxrhdxhdVXpihQ6/PySQtLWJEvFkxHEHAGfo49coMZ/bnyvCrPSd4rH5X6VdXeQlc6pIHwV3AQvtOpBy4VKlKDNZZ+EXtwoOktFS6lsveJPDtXvv+iyelMKAFmntN6eJoqsh1LFOQMVb6EWHf6y/CCiUkALhIpDongGgcKGZyuSZADPpsWJjv0MssQfXlgERiwHsK1XGmK7AaG+zb+0fXMni+fpfdaexW+zKtKU2YLqcfe+cFH4annzOfvIFbDx4UkBv5ghyIHA9D2gHCtUOIVI+Zf2/e0ltV/C6kBkDBYmfZA6QJu1WXNQuQTkUmFWGq+kn7qtG/J5bTvwmvuwFXgNQLmmgR+8FAx9Lt/Fl9SO9aF4N2nM+BhUtgXauG7eU6VHSsWJTufj6n694EkPgPX1Gy71gWtyqWr3q4iJfyMniw3hoFwKXscxBDNoCSqf220kvYxYku61YJc1rVOTZ+FFVWJeSqx9LmWX/D2XzJeYhNdi48HwmrKCl1cElxS2KmandCyvKbM7BSU2RIK47dKHTBnfiLz252PEQrKBcmoyeVFeCabyj7GQ9NbzbYkfsGZoVO5qSym4axmkBM/buWFOrXpFmRAH1STsmtKHBMByLW3AkVPbzgDpAXFtHAtZxs610SOQyFIEAOAnDq4V0eMoLoVvA9ySclupv67lqsy6P7aLJUUaG0JFrgFcH/L52q6M8cl0iQ96XnKEJiC0Hm4l0ESd0dEQq5mHoj06iezeZlSwnjILt296psITyMQ1QXA/fe/gWp3PQUwtXp8+y+lRgGMUZ0udQ23NxOTtaytxs1DYm/F6chzV5xIZ2mVDdraznd3J7q9nsUV+88JsiBAxKU3VwiyU7emzagNAflOn3zGJSnnT5fbqxR6xpxK0yFWSkPF78mzisVzkUPS+tOEV5WxL8g4A9m58zH5kLkfJ3lNIhDnJk6HCMZn6kCHcmjZVxTUXOgUt8vbkUSXymo3zReU18Eawvgdv8zEG4Vs+P/Kh7Bt4vySXGH+dr5nTxWtL3oBrK48i6aC2BDemX8W/m4AgZdFIbQN7cFRprQIQEwvXqs3YUwjwbYheXZEkTPqrvineFnsayO2Kqp4r6aImzyJlgbwWeGl6jd/0D3lD4yE7B7eU2J/wG/xylJCasyGHE4Za77cDOmkwH1rMPeGg532vk9ZsdesFwXwUYmrhWp3HoZ+M+G7/FG1fqsFOJgtc9V32LLazIYtph+PYh6XWHPO4o92vyaJm1o4IzVQvIg4PmOQmBM58xOwDGebjJOczSQ0A4OUHoNmUoeGJKKdrGe0pRXbdU9WlsMxALVNQcbGEiOnQTLTTNjCPDuBameHJbtZi3JdoWw1IgoxCR8JxRF9WDNGuLUQrch3y+lmuXeaAoFiHopZHkNcDVK8gFmvIWYQpz5dQq0O4RsFMqyWLBMxE8M0ch3HclzA9T4SZC6KTvIxqGMqdyGvcKyccG3EldVp0QWlDqlCMyEJCrqpGlyPL+WV6/8rUusvU9mrgvqx06ZdruT+25wBpqoy0E2AcCcNLk/zwkiWIEbcqJtdGQpvnLDlViNkTyiXxPO4SflUyJHYiYKee09pHDj4SIQmbJtFQJrcuwOuAm9cUpqYFxeMGEnDEmSTjYobEyHJN4ralaSAoYFhr+FHieuBZTy0CmvntpUHoI//FXsBNfHFYI3Fhp4zMjDZYzVmPNCbx+2A1/vDkfZzNpzjt+R5b6ga/+l3QOg1bEZlgbInS1HwXVYp0Q8t0GBGGNWipcxk6AMAHBOMLZ0CcdNTKghIdP1DSrul7PJa6HqLEHV8EOV+jvWwhhpj7S3wUi5DbTFanNtXKQsfUqRhcvkFSCjOlY8Xgymf8dzE4NDcezRX3L6VnhZG8/o43ZntpoVYCem4RJN/l+sawJ9WIDb1XcbUE+YDm+iD3JUOuR+SUJgDYayo3dHWZmkXYoKqvLY0Hf4/Q80ugu4iTTsPxkVSwlo+9JrRXAe3FOuuNpPSmMJVnBGA802gvbx0aYuSUp7CU+wCwfomwlEl8u2cKci0gRkDPVS4kI88eiJlJtAxRgDTsQU0fW/zq8YPMTsXkNxL6inDzmMEY6krBN9z3pyZec+2htIM566EWAjcRuPFoi64/9/WJghkE9s4JbRyzs9d6/O2TN4Cz4l59gKONv29iXdRi2uFsPsXykxnejPfuN1frdMs2lh0ALydSpqACWtXgq3qZEZQESRY3ziISgUli4AV8Im2J3oPtFaRwBWyVAF3AxrF8o+A6zqUDQNMwa1Wi40vFagk0lQBTwCZoyvZqAyiVtidwVAJ6+U5mIFj6d99JmInIBWRpqWImYkNO0PYCrhUgKzHWoCzBq4KA7gAAA09JREFUIDQpKYsEQUoE8hj3qXgWcf5zDWWwFMDFXqkmZKyOBwL6TsIPt2+rGkSWzns8ANQWUMtMKWqgpmMxGY3XEuM+75uAU1lmMJ3vqcF6Va3D8rgzmMrMeFyTJRBWAqaNe8y2JdcE24cNvVTfAObAsxwlADsL0RMS+MGjp/j5Yy4ADE0AGo8gFPYe8Rv8Rk8hGr4PHhzxtok2mDVr/AoPMPZNkRSMAkDbNh476MM1zJNp9rr06Qp/9vCfc60HAHzr4UXGUQDIwczjyQqn/RxvGonvPeTK6KVpcKZuT+wvsl2Ac2c729md7N56Fs+15yWNPyORHBJku7aKY6H+HUWlr42c+/ZvQ6gwA1s4jSiok4wcbrXHGhEox6u+iy2wV1In2/is/q3GBzC2IOlQhAzg2ihGqzAOIZ2rCxsq5ACiBkbpb+731vai7PWcc37OtaAKN1D/NvcrFnyJqKORtgtXziPrcJjSpw3AkqFbcQwgxjiyvka1VLWlrdQHsqmvFVYj9d9QiZukax4C5mPL4D0gBlcZzDcmLlJD8DHwPWy5/c5KwJR9mxeohJElOCuYCi+lsK3EmZnBmzIIS6M3/k7tLrXGUjdwVmJpmrLv50DIfXMmi1qycDtDsb0NwEa1aAJpVaCtIDZ/l9S0NtB8223WdSJVtL30sfyd6NXq9phKDeV41XdfYlJ5GxItP221k6ne03EDSJTzKDtic2JLp/G8mJZzkWsSpV/V5/b29N1Xd1A+5+fABdO/bbe7udMtfFFRQ499AyIGwm/2CQCgw8ayJLehOAvi9eb4sGRA1R+BkknZHiPidvI5EPLkNmvWCJHcOKgA6ICgApqGZ5a1DhCa78FO87a0DJHKwWmZ9/XyOeMCIMgAKRkpmiZSqRxO9Ty3ndqt/07tTrSBoAAhPFrJ26wXEJ8DIUfbgcSvw4joKYAFgLOvuy//ynaK3Tn/Pth9Puc/CCE8uMuO92KyAAAi+qcQwr/7uvvxr2m7c/79sN+Vc94FOHe2s53dyXaTxc52trM72X2aLP7y6+7A12C7c/79sN+Jc743MYud7Wxn99vuk2exs53t7B7bbrLY2c52difbTRY729nO7mS7yWJnO9vZnWw3WexsZzu7k/1/NPjAjD8+tQ0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.6544508934021 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 0.001} is: \n",
      "[[3.20000160e-08 1.60000000e-08 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e-08 3.20000240e-08 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 3.20000160e-08 ... 3.20000160e-08\n",
      "  3.20000160e-08 3.20000160e-08]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 3.20000160e-08 ... 3.23200229e-06\n",
      "  3.12800211e-06 3.20000214e-06]\n",
      " [0.00000000e+00 0.00000000e+00 3.20000160e-08 ... 3.12800211e-06\n",
      "  3.03000196e-06 3.09200199e-06]\n",
      " [0.00000000e+00 0.00000000e+00 3.20000160e-08 ... 3.20000214e-06\n",
      "  3.09200199e-06 3.18400274e-06]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe26a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.26693940162659 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 0.01} is: \n",
      "[[3.20016002e-05 1.60000000e-05 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e-05 3.20024003e-05 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 3.20016002e-05 ... 3.20016002e-05\n",
      "  3.20016002e-05 3.20016002e-05]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 3.20016002e-05 ... 3.23222885e-03\n",
      "  3.12821085e-03 3.20021445e-03]\n",
      " [0.00000000e+00 0.00000000e+00 3.20016002e-05 ... 3.12821085e-03\n",
      "  3.03019585e-03 3.09219945e-03]\n",
      " [0.00000000e+00 0.00000000e+00 3.20016002e-05 ... 3.20021445e-03\n",
      "  3.09219945e-03 3.18427449e-03]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.429144620895386 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 0.1} is: \n",
      "[[0.03216167 0.016      0.         ... 0.         0.         0.        ]\n",
      " [0.016      0.03224328 0.         ... 0.         0.         0.        ]\n",
      " [0.         0.         0.03216167 ... 0.03216167 0.03216167 0.03216167]\n",
      " ...\n",
      " [0.         0.         0.03216167 ... 3.2554357  3.14960373 3.22194735]\n",
      " [0.         0.         0.03216167 ... 3.14960373 3.05010307 3.11249761]\n",
      " [0.         0.         0.03216167 ... 3.22194735 3.11249761 3.21242132]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.200169801712036 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1.0} is: \n",
      "[[3.2000000e+02 1.6000000e+01 0.0000000e+00 ... 0.0000000e+00\n",
      "  0.0000000e+00 0.0000000e+00]\n",
      " [1.6000000e+01 5.3600000e+02 0.0000000e+00 ... 0.0000000e+00\n",
      "  0.0000000e+00 0.0000000e+00]\n",
      " [0.0000000e+00 0.0000000e+00 3.2000000e+02 ... 3.2000000e+02\n",
      "  3.2000000e+02 3.2000000e+02]\n",
      " ...\n",
      " [0.0000000e+00 0.0000000e+00 3.2000000e+02 ... 3.9599184e+07\n",
      "  1.8790076e+07 1.9904800e+05]\n",
      " [0.0000000e+00 0.0000000e+00 3.2000000e+02 ... 1.8790076e+07\n",
      "  4.5132236e+07 5.0194600e+05]\n",
      " [0.0000000e+00 0.0000000e+00 3.2000000e+02 ... 1.9904800e+05\n",
      "  5.0194600e+05 4.7488000e+06]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.947789669036865 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 10.0} is: \n",
      "[[6.52864162e+14 1.60000000e+04 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+04 6.52896808e+18 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.52864162e+14 ... 6.52864162e+14\n",
      "  6.52864162e+14 6.52864162e+14]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.52864162e+14 ... 9.71153321e+38\n",
      "  4.83215703e+36 2.92253118e+26]\n",
      " [0.00000000e+00 0.00000000e+00 6.52864162e+14 ... 4.83215703e+36\n",
      "  9.73580847e+38 6.40218246e+28]\n",
      " [0.00000000e+00 0.00000000e+00 6.52864162e+14 ... 2.92253118e+26\n",
      "  6.40218246e+28 1.60883971e+30]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c144390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.95116639137268 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 100.0} is: \n",
      "[[6.40128006e+27 1.60000000e+07 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+07 6.40128010e+35 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.40128006e+27 ... 6.40128006e+27\n",
      "  6.40128006e+27 6.40128006e+27]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.40128006e+27 ... 9.33493318e+71\n",
      "  4.66723328e+67 2.81704975e+49]\n",
      " [0.00000000e+00 0.00000000e+00 6.40128006e+27 ... 4.66723328e+67\n",
      "  9.33516655e+71 6.14653487e+53]\n",
      " [0.00000000e+00 0.00000000e+00 6.40128006e+27 ... 2.81704975e+49\n",
      "  6.14653487e+53 1.53671603e+55]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.93626260757446 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1000.0} is: \n",
      "[[6.40001280e+040 1.60000000e+010 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [1.60000000e+010 6.40001280e+052 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [0.00000000e+000 0.00000000e+000 6.40001280e+040 ... 6.40001280e+040\n",
      "  6.40001280e+040 6.40001280e+040]\n",
      " ...\n",
      " [0.00000000e+000 0.00000000e+000 6.40001280e+040 ... 9.33123732e+104\n",
      "  4.66561633e+098 2.81601050e+072]\n",
      " [0.00000000e+000 0.00000000e+000 6.40001280e+040 ... 4.66561633e+098\n",
      "  9.33123966e+104 6.14402534e+078]\n",
      " [0.00000000e+000 0.00000000e+000 6.40001280e+040 ... 2.81601050e+072\n",
      "  6.14402534e+078 1.53600716e+080]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACilJREFUeJzt3M+P3HUdx/HnS8AaiUYatEEgSkwveHBDNuCBmBoSfl2KFwIXG0NSD/AH4AmPXIyJiZKUpKEeBHsh9NDwI71wUihJg8VIaLSE1tKqGDQQK9S3h/02TGrXfbOzM9/98Xwkm5n57Hd2359u+8x8Z2eaqkKSVvKZsQeQtDEYC0ktxkJSi7GQ1GIsJLUYC0kto8ciyd1J3kxyIsmjY88zK0lOJvldkmNJjg5r25O8lOSt4fKaseecRpL9Sc4lOT6xdtk9ZsnPhp/760luGW/y1Vtmzz9Ocnr4WR9Lcu/E53407PnNJHeNM/XqjBqLJFcAPwfuAW4GHkxy85gzzdh3q2qhqhaH248CR6pqJ3BkuL2RPQXcfcnacnu8B9g5fOwFnpjTjGvtKf53zwA/HX7WC1V1GGD4u/0A8M3hPr8Y/g1sCGM/srgVOFFVf6yqfwPPALtHnmmedgMHhusHgPtGnGVqVfUy8N4ly8vtcTfwy1ryG+BLSa6bz6RrZ5k9L2c38ExVna+qPwEnWPo3sCGMHYvrgXcmbp8a1jajAl5M8lqSvcPajqo6M1x/F9gxzmgztdweN/vP/pHh9Gr/xOnlht7z2LHYSm6vqltYevj9cJLvTH6yll53v6lfe78V9jh4AvgGsACcAX4y7jhrY+xYnAZunLh9w7C26VTV6eHyHPAsSw8/z1586D1cnhtvwplZbo+b9mdfVWer6kJV/Qd4kk9ONTb0nseOxavAziQ3JfksS0/+HBp5pjWX5OokX7h4HbgTOM7SXvcMh+0Bnhtnwplabo+HgO8PvxX5NvD+xOnKhnbJcy/fY+lnDUt7fiDJtiQ3sfTk7ivznm+1rhzzm1fVx0keAV4ArgD2V9UbY840IzuAZ5PA0p/5r6rq+SSvAgeTPAS8Ddw/4oxTS/I0sAu4Nskp4DHgcS6/x8PAvSw9yfch8IO5D7wGltnzriQLLJ1ynQR+CFBVbyQ5CPwe+Bh4uKoujDH3asS3qEvqGPs0RNIGYSwktRgLSS3GQlKLsZDUMrNYfNp3k068BHrLcM9bw2bZ80xiscp3k26KP9BPyT1vDZtiz7N6ZLHV300qbTqzegXn5d5dd9tyB3822+pzfJ4vZvuWeoWYe94a1vOe/8UH/LvOp3PsaC/3Hs7j9sLSH+btn/xnQpLm5Ld1pH3srE5DVnx3XVXtq6rFqlq8im0zGkPSWplVLLbEu0mlrWQmpyFb6N2k0pYxs+cshv+k9PCsvr6k+fIVnJJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGq5cpo7JzkJ/BO4AHxcVYtJtgO/Br4OnATur6q/TzempLGtxSOL71bVQlUtDrcfBY5U1U7gyHBb0gY3i9OQ3cCB4foB4L4ZfA9JczZtLAp4MclrSfYOazuq6sxw/V1gx5TfQ9I6MNVzFsDtVXU6yVeAl5L8YfKTVVVJ6nJ3HOKyF+BzfH7KMSTN2lSPLKrq9HB5DngWuBU4m+Q6gOHy3DL33VdVi1W1eBXbphlD0hysOhZJrk7yhYvXgTuB48AhYM9w2B7guWmHlDS+aU5DdgDPJrn4dX5VVc8neRU4mOQh4G3g/unHlDS2Vceiqv4IfOsy638D7phmKEnrj6/glNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUouxkNRiLCS1GAtJLcZCUsuKsUiyP8m5JMcn1rYneSnJW8PlNcN6kvwsyYkkrye5ZZbDS5qfziOLp4C7L1l7FDhSVTuBI8NtgHuAncPHXuCJtRlT0thWjEVVvQy8d8nybuDAcP0AcN/E+i9ryW+ALyW5bq2GlTSe1T5nsaOqzgzX3wV2DNevB96ZOO7UsCZpg5v6Cc6qKqA+7f2S7E1yNMnRjzg/7RiSZmy1sTh78fRiuDw3rJ8Gbpw47oZh7X9U1b6qWqyqxavYtsoxJM3LamNxCNgzXN8DPDex/v3htyLfBt6fOF2RtIFdudIBSZ4GdgHXJjkFPAY8DhxM8hDwNnD/cPhh4F7gBPAh8IMZzCxpBCvGoqoeXOZTd1zm2AIennYoSeuPr+CU1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSi7GQ1GIsJLUYC0ktxkJSy4qxSLI/ybkkxyfWfpzkdJJjw8e9E5/7UZITSd5MctesBpc0X51HFk8Bd19m/adVtTB8HAZIcjPwAPDN4T6/SHLFWg0raTwrxqKqXgbea3693cAzVXW+qv4EnABunWI+SevENM9ZPJLk9eE05Zph7XrgnYljTg1rkja41cbiCeAbwAJwBvjJp/0CSfYmOZrk6EecX+UYkuZlVbGoqrNVdaGq/gM8ySenGqeBGycOvWFYu9zX2FdVi1W1eBXbVjOGpDlaVSySXDdx83vAxd+UHAIeSLItyU3ATuCV6UaUtB5cudIBSZ4GdgHXJjkFPAbsSrIAFHAS+CFAVb2R5CDwe+Bj4OGqujCb0SXNU6pq7Bn4YrbXbblj7DGkLee3dYR/1HvpHOsrOCW1GAtJLcZCUouxkNaBF/58jBf+fGzsMf4vYyGpZcVfnUqavbu+ujD2CCvykYWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJajIWkFmMhqcVYSGoxFpJaUlVjz0CSvwAfAH8de5Y5uxb3vBWs5z1/raq+3DlwXcQCIMnRqloce455cs9bw2bZs6chklqMhaSW9RSLfWMPMAL3vDVsij2vm+csJK1v6+mRhaR1zFhIajEWklqMhaQWYyGp5b/1NGXNJQrhFAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.99435877799988 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 10000.0} is: \n",
      "[[6.40000013e+053 1.60000000e+013 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [1.60000000e+013 6.40000013e+069 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000013e+053 ... 6.40000013e+053\n",
      "  6.40000013e+053 6.40000013e+053]\n",
      " ...\n",
      " [0.00000000e+000 0.00000000e+000 6.40000013e+053 ... 9.33120037e+137\n",
      "  4.66560016e+129 2.81600010e+095]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000013e+053 ... 4.66560016e+129\n",
      "  9.33120040e+137 6.14400025e+103]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000013e+053 ... 2.81600010e+095\n",
      "  6.14400025e+103 1.53600007e+105]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../pygraph/kernels/treePatternKernel.py:169: RuntimeWarning: overflow encountered in double_scalars\n",
      "  kh += kh_tmp\n",
      "../pygraph/kernels/treePatternKernel.py:168: RuntimeWarning: overflow encountered in double_scalars\n",
      "  kh_tmp *= lmda * all_kh[str(pair[0]) + '.' + str(pair[1])]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.15428304672241 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 100000.0} is: \n",
      "[[6.4000e+066 1.6000e+016 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [1.6000e+016 6.4000e+086 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+066 ... 6.4000e+066 6.4000e+066\n",
      "  6.4000e+066]\n",
      " ...\n",
      " [0.0000e+000 0.0000e+000 6.4000e+066 ... 9.3312e+170 4.6656e+160\n",
      "  2.8160e+118]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+066 ... 4.6656e+160 9.3312e+170\n",
      "  6.1440e+128]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+066 ... 2.8160e+118 6.1440e+128\n",
      "  1.5360e+130]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../pygraph/kernels/treePatternKernel.py:170: RuntimeWarning: overflow encountered in double_scalars\n",
      "  kh *= lmda * (G1.node[n1][node_label] == G2.node[n2][node_label])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.97559952735901 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1000000.0} is: \n",
      "[[6.4000e+079 1.6000e+019 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [1.6000e+019 6.4000e+103 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+079 ... 6.4000e+079 6.4000e+079\n",
      "  6.4000e+079]\n",
      " ...\n",
      " [0.0000e+000 0.0000e+000 6.4000e+079 ... 9.3312e+203 4.6656e+191\n",
      "  2.8160e+141]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+079 ... 4.6656e+191 9.3312e+203\n",
      "  6.1440e+153]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+079 ... 2.8160e+141 6.1440e+153\n",
      "  1.5360e+155]]\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb213dd748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 43.95881152153015 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 10000000.0} is: \n",
      "[[6.4000e+092 1.6000e+022 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [1.6000e+022 6.4000e+120 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+092 ... 6.4000e+092 6.4000e+092\n",
      "  6.4000e+092]\n",
      " ...\n",
      " [0.0000e+000 0.0000e+000 6.4000e+092 ... 9.3312e+236 4.6656e+222\n",
      "  2.8160e+164]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+092 ... 4.6656e+222 9.3312e+236\n",
      "  6.1440e+178]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+092 ... 2.8160e+164 6.1440e+178\n",
      "  1.5360e+180]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb68902ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../pygraph/kernels/treePatternKernel.py:170: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  kh *= lmda * (G1.node[n1][node_label] == G2.node[n2][node_label])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.18199348449707 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 100000000.0} is: \n",
      "[[6.4000e+105 1.6000e+025 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [1.6000e+025 6.4000e+137 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+105 ... 6.4000e+105 6.4000e+105\n",
      "  6.4000e+105]\n",
      " ...\n",
      " [0.0000e+000 0.0000e+000 6.4000e+105 ... 9.3312e+269 4.6656e+253\n",
      "  2.8160e+187]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+105 ... 4.6656e+253 9.3312e+269\n",
      "  6.1440e+203]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+105 ... 2.8160e+187 6.1440e+203\n",
      "  1.5360e+205]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.00055909156799 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 1000000000.0} is: \n",
      "[[6.400e+118 1.600e+028 0.000e+000 ... 0.000e+000 0.000e+000 0.000e+000]\n",
      " [1.600e+028 6.400e+154 0.000e+000 ... 0.000e+000 0.000e+000 0.000e+000]\n",
      " [0.000e+000 0.000e+000 6.400e+118 ... 6.400e+118 6.400e+118 6.400e+118]\n",
      " ...\n",
      " [0.000e+000 0.000e+000 6.400e+118 ...        inf        inf 2.816e+210]\n",
      " [0.000e+000 0.000e+000 6.400e+118 ...        inf        inf 6.144e+228]\n",
      " [0.000e+000 0.000e+000 6.400e+118 ... 2.816e+210 6.144e+228 1.536e+230]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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Qmpqb8caFlwAEf/HKYeC0efayecpS9aVt4FSBkcMQXcsw4D2K1IqBk+bxOXbIuS4eLDxUZ7p+4eP8xwi6R7+WdvkFiJmnzzVffjxyubkzY7gStU7HOlz6gaYVXdfvJ6/1gcJ0vxx5u+AeG3LkbaxauxOHD2zzBwq/PL0tJr1nxtA64pUFIDfiUKkBOlAoXRRT/5n6wQW2WaRI0nAE5WL688/xxoWXMH3xIuTpjyFPf1xpSTVJbvhkpSWUFR4sGIZxou4NnAzD2OFTpwSRTdcsYyovM68NQGW2JStMukQ2i8y8NmSuvRYim/XzuGxlrgRKn9KcufbagvRycumeLl8D7TvK0HR/RbbKx92if+merkT11r2BU05Nlbw8OVl5W4VJ1+Dll3H33If810D1eLM2odogJy8WrNKk/Rm6kBv9HAOf/rggzdR38vLlckmaqfO3LibYYg4f2Jbo86/7waKRofsoejP3V1hNNNQgVw0aasVwHYbLylcQdf8Yov6zhKFH2Aorj+ZTv4IuddjKd4nEFURTc3NRVC+1j0JcvwhNzc3OfRGkO9vRjsl13UX9FSfqu15HpnMxsh3tvmZx/SK/HSY9Jm002laSiGQDv3nS19DU3IxM5+KifEB+z0pYRDJaL02jEckm13U7R6dvmns1muZeDSBaRLKB3zzp54kTkazuBwuGYdKhoVZDKrFtuFbgvolHJbeip1Fvw4YvZBgmGrx0yjBM6vBgwTCMEzxYMAzjBA8WDMM4UfODBYcvLC0cvtBNh+m9a/hCdVzAViaHLyRUw2qIWgKL4/zG1VEN9b6tL3tlO9oL0uMsyekbjFy0ubRX6VYoh7nU+UyYY9w42lW6yVGQqk+9BgodFiuHunGd31CHNbZ8AJy8e+ufq9JHnd8on55R+zCJd28AePPYc+wpKypxvXVHrcPmlFZPT+o9HEjvHIjSrTStXL8LLYb60kD33O3i3Zt6Bk/q3TsOLt69ddJy+JvUu3eLcP/8an6wUL/ATblcbD+S6pczzPdj3A04qty+Gx7xv9gu00JbfUE60h70VN/QgW7l+l3G/wi6D02bxqDrun5Te8L60PQfUc9bqo1Uph+E1d07/L6hA9vyTbtxfO8WAPk+BQB1lpR+xmHfO9o2NVjq9ak4JzRPVGreZsEwTHmo+ZmFGnGTeKemswh1mCeH4l8f+v58V0c+35kxnO/qQC7gmZ/+QqxcvwtH9m8tKntyXTeO7N/qvw+aHtvSlSaFizbaDltdSrf69TuyfytWrt+F3GvDfn/RNoX9apuum7SrdF3b+a4Ovz7abyvX78IRb1ax+PlnAACLDkv/sxx99g50fu/NgrJWrt8F6hni/W9djUWHc/h4lUAn8Yup63j/W/mDXJ0jwPQnSwHc7udb/Pwz6MTMbOEIeTRQs47Fzz+DD364B9OfvICbfrUZp7w2mPowSn+OPnsHOkdm0lS/+u0fmdEOADgWWHQBNW/g9A2T1y3AlU8+jV2GPn0MewyJYuCkjyEK2/MsLd82YNimpaUwcFLjJn0MoQObrj/OY0hUAyfVQ1ndvaPoMUQPL0Dr1vsyjoFT/16oz40aM5W9gGo3PoZ43r1dH0P0dqmQirrBXtlz2MAJ4Mqn48nuj+ilOtDDdAp1pOXdO6wcl3qKvHtHdFfvgk1H1DYFea5eM38zBsb3BOrwvXuHeBm31RPmTZteb913FNibf51WnwZ591bXGt67d1xfDYqo/hh0nwqu97juMYjjH4KWr+oIK8fFF4UqV+HqdyEKSsfQdH+BHlNf6XkoQT4awgYKdb/ug0Lp0/OZ6rLppa9Ney/S3Huiv9frs+3rCaNuBguGYUpL3QwWSV2flSMob5Q6qiFIsELXYrNXlBNb/wTtX7iz76lSyWkI6sZmkRSTESyIODYL3Viaph6lQzeEpWGz0HcfxtEWhtIRtAJl06Nfs2lrPn4qVEdSm4XNmKobdV33pETF1n/USBq3rppfDWEYJj4NFRhZjZhi1mwMXvoFgPjRpUu9gzPKzEInDR1x0JfwlBab/qBlSlqmKT2ONtf6h6b70df5KA6OPm28J6kO0+ej95ctT5iuKEuntnvS+M7Ujc2CYZjSUlePIWk//5XzF5zWaaKWnOmW6xxGHKpVm22WVGrYByfDMKkTOrMQQrwI4A8AjEspb/PSWgH8CsCNAD4EcL+U8nMhhADwPIBvAJgE8G+llP87TAQbOBmmMqQ9s/gpgDVa2mMADkkplwI45L0HgD4AS72/hwG84CKCYZjqJ3SwkFIeBjChJd8LQMXsewnAfST9ZzLPmwC+JIRYmJZYhmEqR1ybxQIp5Vnv9ScAFniv2wGcJvnOeGkMw9Q4iQ2cMm/0iLykIoR4WAjxlhDird/iUuz6fSsyO+wtCUGHoGz6ww4ppXloKqh+Pa1aHfa6HD4Lqtv0/Unru0uJO1h8qh4vvH/V+fAxANeTfB1eWhFSyp9IKVdIKVfMwpyYMhiGKRdO+yyEEDcC+GuyGvI0gHNSyh8JIR4D0Cql3CaEuAfAd5BfDekG8KdSyq+Flc+rIQxTGVLd7i2EeBnAXQDmCSHOAPgBgB8BeEUIsQnA3wO438v+OvIDxSjyS6cbI6tnGKYqCR0spJQPWC4VTQU8+8W3k4piGKb64B2cHtTrlYuXqijeqGgdtvL19DiespQHqVJ4yqJ/k+u6i/orjl5du/oL6wfdSxn9Ux6s1B+93+TZSi9fadDzmgyGKs/Exp6C8lQ61aRrF13LMLGxBxMbeyC6lmFyXXcsD2Qnd/YUvDd5+FJtVNdU30Q1etb8qdMw0j7fYSrPd6wrBFChszZhFnVFb9MGiGwWcmoKACCbq8+4TB3bqHgu5T7D4RIE6FLrHPztdD+Wb9pdBkUzxD0DpQcgikrdDxZpf8kCA+M4DBQ0QpRLehRdQ9P9RR7KTd6x5ZUr/mtx0W3ZWo8CRtNpfWmgQiMC9sHZpiWtiGTKE7bCNPDOmbiE3qYNOD7dHxqRTA8FYMOlD2meKBHJaJ441P1gUaqZhSnEnktUNFvEsKSRxIam+4vKsM0sMvPaICfzbghdB6lS6ablqEEgbGYRqGVhayR9+vXV3TuQOTuBwZD/1DTkwPJNu6Fq7bvhEUx5GlTZU0QTTaOxTr/oyEcvoTFMbNCZxU27dmOJpiuofaY8rtT9YOGK+iUrhVt/l3v0a2mXX4BowhsXXsLdcx/Cmi8/Hrnc3JkxXLFci4ut/8NCARRd1+8nr02u8Ezu8q4U5SpGjryNVWt34vCBbX5QZL88vS0mvWfG0OoFMZIAciSgURRoUGSlixIWmiAKbOBkGMaJunJ+kwT1bB8WoYvmV/nCon7Re2zTft1o5VqmrXxVVtKIZLRcNaU939WBlpEzuHJmrMgVYVxo5Kwwm4V65KKfl7pXn2LTZ3jRtazoV1UvP2lEMpvrwSAnw5S4LiGD3lM9uq4W0eq8KavuB4tyrIb4aRVeDbENQBR9NUQFZ0oSKzYtTF9mk//KcmnR0TVk5rVhYHxPxbQlHViAaDs4636wYBjGDrvVYxgmdXiwYBjGCR4sPKJu9047MLKeXo2BkU3bvW2+OOJojxMYmW71Vluw6R+93yWQcZzAyC4+P/TrLv5MXAjzW2HyqRG3Pt5n4RG20y+tOvRNRwo9Pa6etDZJUfQdk0f2b/Xfq3/Tis2q6ze1R/WVviuy74ZH/M1UalUk6qasOIRtyjL1zeruHQWbsuLuqoyyKUtdi7spq+YNnGmsRLha4eNa5U3Wa9uo7lJfOVcHXJYFKS7xO+Na823l2OrX09bM34yB8T0FdafRl7bviWnZMiiPrcwgjaa2BmnSaajwhYqm5uZEy39Rp/1x91mUSo/pHhdtrvssKHFOR4Zh0q7SdW1BfWN61FCogSKIOPsswrTpp04V9LSq6tPca8OhGsP067r1awV9dOyQc9l1Y7OYvngx0f1pTaNd6nCpqxx6XNG1HNm/tUJKZrD1T9B0/s6+p0olJxCq6eBHzxm1H9m/tSr6NYi6GSwYhiktPFh4lMIwaKrDdcYQV4/65UpzZqLrXrl+V2pl6+i6Te2wHVEHgo1341+dnUycA1H6/fjeLanXr8+s6HdBXRsc3u7/RaHmDZxpoQxAtmdRHZrPdObAVoc62qwbm0TXsoL0OIY3/XndRZtLe5VuxeDwdt/fg7o/qWMVk3aVrmujfaVeA8XHxoH8SoO6f2JjT8EJUVP5Ext70HbiAs7dNrcgrykfALTuO4qxV29F+x++4+dT95r6Rhkkl2/ajYtrzwMAmg+0+ANH1D78+ekjePD6lQW6dN1Avj/VNWoref/FP2kcA6f6T+XiSyKoDPovUJrVkLA0U55qWA1R0F8i069SmIVfLzPt1RCqif5qF6yQ7J1JU/ck1fHufU+gFzNlHN+7Bb37NhTo0T+z43u34Ja/fALv3vfETDw/gutqyHXtH2Noeua9GiRN392kHr3q5jFEXL8o0f1x157j1OFSVzn0uKJrWfz8MxVSMoOtf8rt4s4Fqml19w6j9sXPP1MV/RpE3QwWDMOUlpp/DFGIf/rnRPdnzuqxn93yX/Feu3hXypydcDaARdVjKr+3aUOoNtoO13IXHZbAdyPLC0Tp8P1ZeOmmx4TB4e1WA2fbiQuJdLSduIDM2Qm0oTAmp96Pqh7d4md6PKOPRPT6u/c94b8+9d3vAwB6v5fskUg9ApnqU9eonpYX/8S5bDZwMkwD01BH1H3DFQdGLgkuh6RM/RakMY2DZzYNpnSVxoGRk1HzjyFr5m8GAAxNvRLbqr1m/maIrmUFZwcAoK/zUWNdQLSlU3UfXR6kZU12L8HhA9twZ99TUDsBRNeyovpN91JKsXSq+oYy+uwd/jXVX3f2PYXm46cAFPebi/6oS6e0frUzc/yrs5HbWBh0h9Y5ML4n1EFxnKVTWzuUrgsbe4zfgbFXb/Vfqz7t/N6beb1EZ5jmVWt3+q+/8JZH9frWzN9sXDrFi+7bvWv+McTfH5HNYvDyywDiuxurhoNkNtLQEYckB8loml6mKT2ONtf6h6b7sebLj2PgN08a70mqI8lBsjBd1XKQrOYfQxiGKQ81P7OgpPWLRcurBkexQPqR1UpJ2MyiklSrNtssqdTwzIJhmNSpeQOn+vXPtLXGHomHpvuLDkuFbbOO4s9C/Wq4HCSj5du8ZdlmPKWIG2Lqm5Xrd1mPU1NdUbZ7x4kbYvNApe91CLKj6OWXKm6ILU3HFF8kis2C1uOioUW06rdbqavHEIZhosGPIQzDpA4PFgzDOMGDhYd6BqUu3oOgO+Zc8tOyTfn1dNcydU3K/b2rNpf26u71R5+9o6i/4ujVtau/sH6g9enaJjb2FPzR+ycMG7b08pUGPa9pR6TKQzdXKQ1UGy2Lpo29eivGXr0VExt7MPrsHf7GrCj8/PSRgve6btpX6prqm6h7fWrewJkW6qCQy8Eq270u+RR6fr1e1zKD6nApx/UgGWXR4VxRf4WVEQWq2aRfP8RHaQsoq+3EhaKDX7b+MeW15Wk+0FJQnjqEprTRQ2k07Rxa/HKu+sdcSG1mVr68FUsws4tU1037Sl2Le9iu7gcL170SUwtbgTNjfswHBKwO9DZtKPBJoFYtMjd3Yuq90eA6FFr5er1KjytD0543q4WtvjabpfzSPV3IjX6e1+7tHAzqowLdAD5eJXD1Ga2/DG2KglrFWN29w4/9odKHtFUh2le6NhWLQ9FGdJ27bS5aRwrr1ft5+abdTnE8lm/ajeNenlv+8glg30x5qh6ljdZL05SnrHNowcRX8v/FO18LrBZA4YrLkQd24cFtM56y9DbSvlIneFUfRfX9UfeDhStqmczFPZ4tnzz9ceR7bNdcdcS5J3fsQwx8+mPcPfeh0HMHpnI7R2Z+KePoDKrDpR9omn5dHwzor6x+jsN4/76joTMKlW/V+E4cPrDNd6mnylMaVNlUU0HaPlKeQ50mqEs9pYti6j9TP7jANguGYZzgmUWKJI1dUi6mP88/gkxfvIimkNkQYyc3fLLSEsoKDxYeaoeeS4QuIN45FBodyhZlKygSVxhBOxttiPbr8i/et3/x9Shb57s60DJypqC/gPA+C8Lm98EU4UvfPUvRbRiZsxMmnpDJAAALaElEQVS+LtNxd72fXVcIhqb7/SPo1KN2tqPd3/2ptNHdoDSNxjr9oiNv4Iwakezkzh4s2WY/Sm/6PlOv47yDk2EYJ3gHJ8MwqcODBcMwTvBg4cE7ON108w7Omfe8g7POyMxrw9Rn51IvTw/nZ3KdVk4y89qKghhl5rVhYHg7Vq3d6Vvupz47VzFHK0Gs7t6BS61zMGfiEgY9zQBw1fi/pP4ZBqE2ZR0f3o5V43kNueGTBf5RVb7je7dgzf8K36eSNtklNwIArpz8MNJ9epiAqJuy6t7AqfsaSNvfIk0T2SzklbQ2PaejS0eFepSXLwMAmr70uwCAgfE9FR8wXH2hlkuLjq4hc3MnBn7zZMW0xfU1S4li4Kz5wUJ1QNJYp+qXQhHmsJd6dzYF3NXLB1BUhwla/vG9WyI5v1H30LLCtNm8VNO6dN3TnyxF03XvW/WHfZlN15WO43u3YPmm3b4e2yBo60s/fqhFE00zlT/26q1oPtCCi2vPF+zM1PtRPXq0/+E7JXN+E8dhL63H1flNwwwWDMPEh5dOGYZJHR4sPNROt2xHu3HXoCk/vce1DrpSQdHTXcu0la/KCivHpb2qXJV3cl23f49eX1xU2aoeha2v9M9L3auvjtD7TSsrevmiaxmyHe1FefU+oqsMur9MuhtV7xuaZvqLimmVRn+v746NW1/Nr4akZbNQR6EVYTaLomPSDg576QpK2Ac1tbC16Gi2SYd+jzEtQJvLkXylW20jX/z8Mziyv3hLuf6cHMVmQbW7HM9X/aNz7ra5RluGzWZhur8NlqPeRJPaqq2fcrUR1UgbxTBvG1CTBLUyEWqzEEK8COAPAIxLKW/z0p4A8O8B/IOX7T9JKV/3rj0OYBOAKQD/QUr5RpgItlkwTGWIYrNwmVn8FMCfAfiZlv6slHIXTRBC3ALgmwBuBbAIwH8XQvyelHLKRUwc/BFUCCCmsdZ0ACtsZsGhAOyhAOLMLMoRCuDOvqfwtwf/Y0HdevnVFAqgXKshroTaLKSUhwFMhOXzuBfAL6WUl6SUpwCMAviasxqGYaqWJDaL7wgh/gjAWwC+L6X8HEA7gDdJnjNeWsnwR9wES8B0JKaGLX00D3TtFvDrbQocE7aByjarMN1bpElPS2CzoL9EynZxxHN/p35VdV1hz+Zh9hYXm4XqH9G1rGAmoV6r3YnKftHbtAEXNvaEaiuVzSLqBiqXYE2m67ZZncusJgynfRZCiBsB/DWxWSwA8BnyXsv+M4CFUsp/J4T4MwBvSin/q5dvL4CDUsr/ZijzYQAPA8BVyC3/uvhGrAak9RjisnMw7k5C0wdo++Bc6ivnjkbXKbYi7mNIXG1B9etpa+ZvxsD4noK60+hL2/dE76+wPLYyozyG2O6xlZH6Dk59sLBd84ybkFI+6V17A8ATUspAp39s4GSYylDyTVlCiIXk7ToAJ7zXvwbwTSHEHCHEYgBLARyLU0e5ofsSSrXPImh927QeH5VS7bNQ5Zn2QlRqnwVtn2m/Au+zMOux6XIh1GYhhHgZwF0A5gkhzgD4AYC7hBC3I/8Y8iGAPwYAKeU7QohXALyLfKiCb5dyJYRhmPIROlhIKR8wJO8NyP9DAD9MIioKqW7KimCziLspSxngwkZ1padaNmUNDm8v2JR1yrBsWc5NWfrnpVAHzPTlU9uzvQ5vyrJT8zs4VYfEHShUGROepdw/hQmzRVlBvyym4DWm+6hjkrDVkHO3zY28GqIH2FFpQdrCvvS0T9QKwwc/3IPlmwRa9x1NbTWEag/TrPJQbUB+5ePi2vP5oD8e6gRqb9MGjL16a8FJUhMX157HOeRPndK4HromFSCI5gmiHlZDan6wSGtmsXzT7sIv/r70V0OosxGXD65aVkP0ZcjpT17Iv95bnLfSqyEAio6oF+SdRip1R4VnFlXAmvmbAQBvXHgp9hdgzfzNaFu8qCi9r/NRY13ATLxIFTsyaE1J3WeqAwBWrc1HtqK0nbhQVH8YphiWYdpoO0yY+uamX23Gqe/ay4yqm+pQr13ijJpoPtAC3Ge/LywCW/OBFrSduODHIbVpovFNSwHV6RI1ruh+8l1Ni5ofLJS7NZdftKAyhjxPUZPrugEAOQAHR58ufK4mrt38OA8j+de5gGmzum/IW+PXNc4heV32X9japzTpaUHaaDtMqL4B8tu8AeDU/q1YuX4Xcq8NGx9DDo4+bdVu00+1h2kGZlwZTq7rLth6rmY/i59/Jq/1u9/36xx99g6c8mK72pj4isRV/5jDxFdkQUhBXZOKTeq6Wdr1O2nqz6D4uXrZ6n7dDWEajyF8RJ1hGCfqylNWWs/CtLxKPNuaKLeOJLiuPFSCatVm241aathTFsMwqVPzNgv16y+y8ZuiW/EB86iedDUkLet0uVdDop4NcSnTNa9LOXr9ptnD0HS/0VCYRl/aVs30/rLlCTNgBmm0zZTSWsmj1NVjCMMw0eDHEIZhUqfmBws1DUv6GKL+NR280fPFKd92wCfoIJGtvjQ22LjickjK1G9BGuMemrKVY6tfT8vc3FlUd1o6TO9dvktKV1CZLn0Z1q402smPIQzTwPBjCMMwqcODBcMwTtT9YFHq51OaJmbNLrpWLmy6TM+0TbkcxKzZELNmI3PNNchcc01Z7SA2XG1H5dISZE8C8tHMK6ktzn1JqPvBgmGYdGADJ8M0MGkHGapq1M60pP4sbtq1Gx9snQl7F+Yp6+TOvNOVJduO4uTOHizZZvdJrKZ/eh0maPkfbN0SaSepuoeWFaaNtsOm3UU3rTNsh6bputLxwdYtuGnXbl+Pqa1Bmj4ZW4Tr2j+2aqJppvJ/fvoIVr68FUce2IUHr19ZoI/20c9PHwEAPHj9Suddri4nP026ouzgpPW4aIgSZKjmB4u0WLLtKGAOsmXPb3gddk/vtuIYImno0ct31eaiXZXrst07LkpH77YNWELSTf9Jepu8PIb+yf/nNddh8htiun8JjuLBbSsL0vV+ogOJri3oP6g+AKS19Z3WZXpPB5y4dbHNgmEYJ3iwYBjGCTZweoiuZZAjbxcEvA3Lr/Kpe13qUF6nbQ57VbprmbbyVVlh5bi0V5Wrwhe+/62rsfQvvrCGL4yD0jFIQiMCdpuFykPjewwOby/wcwrkPWdRh8mt+44WlUXLn9jYk3erd9vcgrx6P/qOnT2nxWE2C/26jah9GHa6VNdjslmkGpGs1FTDYMEwjUhDbff2R0nh1N7AMvggWXBdNX+QbF5b6IGruDpM750Pks1rCyyTD5IReGbBMJWhoWYWaUHjlpYq1imNy6mjp7uWaStflZVGrFMagzTb0Y7Jdd0Vj3Wqf17qXhWDlGOdmvXYdLnAgwXDME7U/GOIb/0VAojZFpOVOGwHZ9TyVZl6mo5LfXF1xMHF0k+pdESyQB+c8zdjwIuB4hrty1VHEh+cVI+pzCCNprYGadKJ8hhS84NFGK5fBtelU1UezafSMjd3BgaEKeXS6dB0f0HgZRu9TRtw6Z4uHD6wDWu+/DgGvKA7QX1UrqXTIO36F7/US6cmLXo+FdCIXrMNqGkunboMQkF5qQZeOmUYxgk2cMZA/UJRw1VYfnqPax2uBk7XMm3lq7LCynFprypX5R199o4C414aBk5qkKR6bH2lf17q3omNPQV/9H4acd1W/sTGHoiuZUV59T5S5etlsIGTYZiGhweLmAwObw+1D5SbatMThWrpz+N7txh16GnUXtEosM2CYRqYmlsNEUL8A4AvAHxWaS1lZh64zY1ANbf5X0kpr3XJWBWDBQAIId6SUq6otI5ywm1uDOqlzWyzYBjGCR4sGIZxopoGi59UWkAF4DY3BnXR5qqxWTAMU91U08yCYZgqhgcLhmGc4MGCYRgneLBgGMYJHiwYhnHi/wNBtBeXgUw0EwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 44.096922874450684 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 4.0, 'lmda': 10000000000.0} is: \n",
      "[[6.400e+131 1.600e+031 0.000e+000 ... 0.000e+000 0.000e+000 0.000e+000]\n",
      " [1.600e+031 6.400e+171 0.000e+000 ... 0.000e+000 0.000e+000 0.000e+000]\n",
      " [0.000e+000 0.000e+000 6.400e+131 ... 6.400e+131 6.400e+131 6.400e+131]\n",
      " ...\n",
      " [0.000e+000 0.000e+000 6.400e+131 ...        inf        inf 2.816e+233]\n",
      " [0.000e+000 0.000e+000 6.400e+131 ...        inf        inf 6.144e+253]\n",
      " [0.000e+000 0.000e+000 6.400e+131 ... 2.816e+233 6.144e+253 1.536e+255]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c1443c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.5947208404541 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1e-10} is: \n",
      "[[  32.00000001   16.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  16.           32.00000001    0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           32.00000001 ...   32.00000001\n",
      "    32.00000001   32.00000001]\n",
      " ...\n",
      " [   0.            0.           32.00000001 ... 3232.00000222\n",
      "  3128.00000225 3200.00000239]\n",
      " [   0.            0.           32.00000001 ... 3128.00000225\n",
      "  3030.00000237 3092.00000262]\n",
      " [   0.            0.           32.00000001 ... 3200.00000239\n",
      "  3092.00000262 3184.00000434]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e59b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.63289785385132 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1e-09} is: \n",
      "[[  32.0000001    16.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  16.           32.0000001     0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           32.0000001  ...   32.0000001\n",
      "    32.0000001    32.0000001 ]\n",
      " ...\n",
      " [   0.            0.           32.0000001  ... 3232.00002222\n",
      "  3128.00002248 3200.00002392]\n",
      " [   0.            0.           32.0000001  ... 3128.00002248\n",
      "  3030.00002369 3092.00002625]\n",
      " [   0.            0.           32.0000001  ... 3200.00002392\n",
      "  3092.00002625 3184.00004341]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e59b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.70455551147461 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1e-08} is: \n",
      "[[  32.00000096   16.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  16.           32.00000104    0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           32.00000096 ...   32.00000096\n",
      "    32.00000096   32.00000096]\n",
      " ...\n",
      " [   0.            0.           32.00000096 ... 3232.00022216\n",
      "  3128.00022484 3200.0002392 ]\n",
      " [   0.            0.           32.00000096 ... 3128.00022484\n",
      "  3030.00023686 3092.00026246]\n",
      " [   0.            0.           32.00000096 ... 3200.0002392\n",
      "  3092.00026246 3184.00043412]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c144390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.85604548454285 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1e-07} is: \n",
      "[[  32.0000096   16.           0.        ...    0.           0.\n",
      "     0.       ]\n",
      " [  16.          32.0000104    0.        ...    0.           0.\n",
      "     0.       ]\n",
      " [   0.           0.          32.0000096 ...   32.0000096   32.0000096\n",
      "    32.0000096]\n",
      " ...\n",
      " [   0.           0.          32.0000096 ... 3232.0022216 3128.0022484\n",
      "  3200.002392 ]\n",
      " [   0.           0.          32.0000096 ... 3128.0022484 3030.0023686\n",
      "  3092.0026246]\n",
      " [   0.           0.          32.0000096 ... 3200.002392  3092.0026246\n",
      "  3184.0043412]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.93108248710632 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1e-06} is: \n",
      "[[  32.000096     16.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  16.           32.000104      0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           32.000096   ...   32.000096\n",
      "    32.000096     32.000096  ]\n",
      " ...\n",
      " [   0.            0.           32.000096   ... 3232.02221617\n",
      "  3128.02248416 3200.02392006]\n",
      " [   0.            0.           32.000096   ... 3128.02248416\n",
      "  3030.02368618 3092.02624609]\n",
      " [   0.            0.           32.000096   ... 3200.02392006\n",
      "  3092.02624609 3184.04341226]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.449198961257935 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1e-05} is: \n",
      "[[  32.00096001   16.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  16.           32.00104002    0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           32.00096001 ...   32.00096001\n",
      "    32.00096001   32.00096001]\n",
      " ...\n",
      " [   0.            0.           32.00096001 ... 3232.22217717\n",
      "  3128.2248565  3200.23920574]\n",
      " [   0.            0.           32.00096001 ... 3128.2248565\n",
      "  3030.23687824 3092.26246855]\n",
      " [   0.            0.           32.00096001 ... 3200.23920574\n",
      "  3092.26246855 3184.43414602]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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jfvLZXiKZbwLcdieal3nWfEgzIkK6XO87rWeh4FfJ0cF5lKMc5VpyNzQL7MOEOSZZLQ8kIXGM09VRbb+sdvN1VstiD7pJBiAX86KX4xomvKmYFOWDwBkLaWYHInF2wdj2E9NqMFDnW5S9DEw25od+SAxATcFojokGRIplSNnOHobJrvrGwCR1kJK9wgwWPzdbM/6DkE2lA9mdb426TSahiw0KlQ9oFvZY+U2qO3ysJi9nc+IQmErPZU0LsBqe1YzK+/Kmo17lbiwWnP9n7Ezlo1DU3gSkFaPgKGCjHiimB4AC3LJ2JrVtxfdrevKg3zUTtS0+fTYFeeV7uZMT8XHoQjCOoLapDrySzer3navGp8B9P80HWSxAqH1wqyVSPxRgmILT0q6DWy7gH96vL1tx0hrQF1DxBTFWZ5uaMwpfVps2iTOYVsuKBbF+IZsrsVjI4qXHAQGTxgher8uzseIWC3BvfD8A/AePjQ8l2+wa6bL3jlH8HTZiNY80AaBFW3AKk3s3YtLSwiM9f1HPXy3FwZk3JP/BYxknfT90MVfwly58gEQnMsiLz06qyaBO7GYsJsUEKGYiQexIIhQxleO83uzB3RmA/+ZHcu3RvFPegZeL6i8BJk5cPae06xsfwu366jcBgG9/5UFZdcAmUY/JORlkNJus8g9VLURfyh4z2573HIgco6zywzDx+HNMBQij+0YBTc0SyQqCMCawyw/V8iEoOKofii9kkqDFSdo+Rylq92e7ZIkuxKyZDIP4aLTtGVRFTQDYgTfbg/wONkpB2jZMIxPKG3HIKZ2ASVQJEBt4kpjlCDxg6hswiwZriPAqzoauO9h22YtkM5ponbNjvNvVhahtpotmdtRWB2f2i4QAPHsxgYEL0CqC1Mdix2NCbkQ1qqVa1647CMF2ORIE52to+nIHrMO0T/MEOIMeprPTCkSDPq/r59x8KRcLG+GY4Cksq5Ui5BSHoTJjTMJcsygaw3BQs4D3k8w/HkSz0EmoGotbLF6pWWCmWRRmLfV05wgL5Z2iwN53HahtK44DqIucxXEAxYFGBtPBqBNTnIH1fCIGTlagKzQLNS/QtCA1i+zvY6wowZmU8dBxBEAnqwnZT1l45mF0ZnECnoR6zys0izmaEbm/mhIAnXSomoUeo9VKJn9KebFQza3Cykmvnx3jYAafn8LNNAsa30yzwIuLOs62D+dncg2Fguf+3kSzEGh4UyH/zMCzL1s0ROUVWacT3IWx0a7ULA5kmB7KrLypZoG+rxMOqHgMzhmLGsfXyXhbmgXwahyHtnsWIgWz+GUiip9G2yAAofGdaRbzSWGxHNMfJ8wX3dvQLNLlOsO/WSbd3MybawiOZGJuw+1rFs9f7PshON1Is3CbrZhRdkOJ1/fXHKMhRznKUa4ld0qzeFWKuuIu3ONH05RgXYVnqzG1bTUp8srrP3iUnacD4tNnk/M5Iq/a5jrzFV6BPGZHVwg4d7IjKNZj/OSz/BurWVQNgRNXP8OBTM2iVahyE+v3BTk5MSFyXw8lf3Gqu3rfT513ajZ9+AF41yE928c+yAkG/2C1h2uS30yQuBqIWpgSEOqgtZmfOjbegZZLwUEAhzEQwBTVuvdljpjZXXd2zHkn1/aYOopJd/5Y+5GfAT1+iPS9T6bJjXP/hpE3Jb/BSTaD7t8Dq7P7O793Y/Kb0u83kDu1WHyhYieDAUxNPO1vet25Wm+veVWY64uWmQlS7urc9GWZvbBsTQ+gkrykhFdyaNyCTBm8uIZE07h/zrsgFbKhYDVL9TirWWnM2hgnaMlbFdMWOpACca1LjGryoFzrJhHVu7VY2LjzTF6FuzgkZYe1UNsc73/7uPqMR2F+j3chdsGyYheRHOLVnA0Vq4WUy/XD2y2ibyKztmqbit/AyjtYhCdamXeGWiCW74sob8Uh2v3bEB2PYZhqPTcQ8g48JCC9mffhTi0Wk2hG01aVFChOvfjypRDXaLy7bZG6blpLJEO3ue8nuRLW9AgffU2uq7iDk9UkyYYvLgVPMI4GpyF4Cjo7nZCf0Nlp8ainF4ILCb/vByWyYcBZCAG8FPOINrsKi9514HtnMiGeSBvp/EwAWk0j/VCcxHotkGoT/i1AnhCAk1Udz/VGXv5xLBmbmhuh0Y3CbP3sOQDAfev314iMyTdA8CVywcsGbjdIey3b1TCCdv2+aahYBHX+as4EEWir+JT8Agcvu7Wq9YsG1A3gFy/hfuxH5PdBohAUuXwGgHi2gN8M4sAtuycAB1AXAU/wF0p0w0j3TsCNR3hyIYeaIP3RzWAeVWgDaJvHXKNTnz/D7qf/bbRPd3WsHMF1I8Zzefdcn8Ak1kxcaNYple/ckDCeyvUWv3cJp++Mai1ESCcLpGVAeHJZxiz+8T+E7mGDxbMhe5CBuHDwu5oQx40MRPIEFxluF5GWvjxf/qfXrwZ4dHAe5ShHuZbcKc1iLpz4cF2PSRp2rGnIhRrPlVoiGA6zVRfeiJwZWZKULEiF09QkUhMmsyoDog3RdrcXquXNNkN+jbmQUvERcD9UWPQYRdNgQ6+ru5qaTiY8xsMgNrzu1DYF27a/64SRylADKtK0OMZUM1DtRGndcnvhXOa1MHiGYczp9Km2UwE+NpvWhIlp19d7GJW6mG1F/Z8hX3uh8OO+h7vclLZbFKNej4YoWoiveBew8EWU52DCobTeFRwLANB2VxGcWSMr4r3wcOh7o5redofFZxu4C0OrFzzQD2h2+bomVd/re9P4cpyGCNeJFqIZpOyo+kOcg3/WwwUPutyUMWs+34CGJfxlTREIzoH6sWoWwWSdDlG0RtXsmOXYNeVOLxaTSmGTL6i+DE7BSOYFuYkdqV54m0aukslviuPtBjkiRAQmB6CaUpM0c++mnx1lldlwZGr69axNpAjM2xJLcmPHxYKmXPYrWJIZAIhUAUZ6Ofsbe62bunfU1+IIhVeHqKavZKATnKttSElyVJKYCHUkY21T4UK9YXtUZuPEPgPMrCmk2BA95gDNE5ngS5wD6ztj084PvNOsqfjm95zT2dkTyK4Dh/xbN5Q7vVhMpABRpmhN8hkxF6b8DgUBabkmLD1Btu15J7yLtFrJxFSM/rbyE/BYIclusQBWS8kNgDxzOj2p74U+4PPTqf0OAE2ojEjrbWVS2vXgs8zVkH0KvGzFNl20oK6vO1neGWi5qElnukM1DfhkWft4sZaXbhhKf/U6pEjWRtsg10qPzkE7JRGquzf7uhOmVQO3FZ8Ft/UVoiEn+FlwnU7ws5WMR+4biIDTVUEfFt4FRawW/0grv0uM9ECYrbnJi2gC4OskGM9b+PWMHwMygdxuBIKDe7EpfUr3T5Baj6Ba29lJvbZzk12XPYEXDdymr20A4GLE5gdWWCw0R4aQvIPfjRjuibbguyiLGItPQa8HUp8FYzyV368iV7CavotEiI/PkBYezedtGbPdN8+wexSwfFqfQWwdwra2O6nPIhDcyAjbEeMqvwOJkX73y4rgfJW8JjZsk8OK+q9IT4N+LDJH+qWU/6u7HxFN0JpADpfFWHZ2rXPJs0hOUX1nZkiFEE/DcEUb0oSqZNCXVgqhbwTPa2ESTYlPUpJclhjrfdU00M+zyIgbk0GTquqeJosAjSakGG34cxZWtruZNY8SSwuYS7s0s5J17Eq27SjnxAjofYlk4WIGw5ffuj6BhgR4Ks+HGELSkxJ4rjlEriZRvhcBebHgiYOTUtYe1GQxY+x6lnEDwIngALghwfVqZpjx01ehEcesG1jOHVwdh+yUtYsudXkh1vFAXWho5Dp+eQFCVmp1ICgR3JBAfYJ31Ryk2ev1Krm7i4UjTFixjWYxzXbcV/FLmrmaF/pbOzLFrs5qfvCyUKgNrxmcMQE+T5IQ5HfZFNDrkKtkK6ykKE3IE7VmS3Lw9fqj8bGEJDs0M5zhaCT1yvtkogW5DY5BY76u9imESUZhaRdzVct1vNSUUU1DF42mTr4y8Ymq7QtIW4mAMYGX6vNQv8FYtARSPZjFLCg1OfIYSFJe9rsYzWKyQKsfxnvwotr7iDLZkmlvXHhQTGDvSrRBFwRHhBQcaFBezAhuHNLCw5dnTlmzoOqr0T57ArehLJRFs3AO48qhaWqUI7YOiFy0CBBMNCTv9K0c5MBgB8Ql5eNSJgHBAZTHJjhw48Gtm+R+xIXDuCKErSsvQWpJsH/5fimPQ2oI3hEocYnIUOK9LPpXyTEacpSjHOVacjc0CyIUmrFySFRJrcptId4WOqyUetx1QoUHAH0vmApmocA7AOjhGTEtb3fV2Yns07C7OURVj5dr0GZTzuMYJRpSvOz538+eQvk4D9HA2RYxIKzOnICMh5iQtBBNSHGw3Un/DhD2WsdpssWCnk8jFPOkJK396r/z8XSgNMPR9IO0H9EQ9mpbTpZ1R9Zx73rxu+glN+InSk+f7XFf7BH2EiGxEPb638mvq6mJ4Y1GGYjE9DKaHphLnRMXI/Dgnlw3MfwwIpiITnr6rJp+B2DTk7bl+8Z+wP1/0tQoCSDvyziitcWQdDxMxK7iOQbwo0yrp5Er5yYYlPTkGXzOntUxO+kHnNjsWL1HxhlNwINEhSujMWkCbv36usGlW9c+812L0vAfEFuasGTZEZniNum1pQBKBTAD/CJ7De/Ai3YK53XuZqUA9J4201CdfnMEZgYDqYqO4FGAOVxJaihfz6Z8T2zbL4Kwd5Il6erksVGOTC1f2puSmABNAC+zqj/oc5k50XS8d7ublQI4P5W2lkzK3CZ9T7wTX04TqtmUsvM29zediyOZ8juTGl/CnmT5LG5A2Bs/vF9Dpy6bK9u+OrCLb6k60FMbxBTyHq4bMDySdvmtAKy4ccU84uDg1MltCHv5wTnG+0u47TgxHWlMORrC4kjNY+Xa5itA2HuIVi8T2B6k1ZskJaW6KCg68Tq0evrQORW/BefrqdAYheVbH4S7/sCypfWfczboDmiTv7IztOzAi7b+zlyLY5LF6bZkjNOdcKTK0WD6gcQT3Ig6bGmMNXdBa3j0Q8UvADKpiW4e/h1MBKzkjBiHLgv6k5lBA5U+2AXfXWSsRuJc38OVSNCbhqOpHys6NRMg0RirZmqfo9ZhGSIoJfGBjBE+YzLcZX7fvAN1+5GdiYwRro9wvSmxmZ2gNMriSKlqFm8rd2SxuKHMowiJwYhV/VWeAL66bsgEWk4MHnNeQHZmVrp681vL5P2auiFQswaYmCFsiGps5iYnBlKckvI4V8sXGvo5Hm+5fOGkFofRQIzJobssRVMbI+XapzpJOEdLmCfVxim6cq8blS/UzcAUbSJXFw7K7RByotoGy4BFGqJOuWSgFibSvtv+zt6bq+qG+BfrCnbL2ikPA2g7dQkWEwnZWa61RcYRrkSacluSq7D74IVrg6Z1Q/zLS/gh1wKxiYyHzBDtnwUvAsfyhUc5ylG+eLmzmgW9Sk01hWXIe7AbxdFmKdZe47Moqny2T9UksEVzBBVq2KP99csXYrWsq/2hEoDWZ8EMNFPC4GJXahElPc4MhHB7PovTk3q9VP054oQ2+AnFdGQbvISJXfVtFOQmMM0k1e+H1c18FlpkyBk/ioF7c05CK4lvQNV2tJ/63PMOy00oO6Y4tW/us0gPzkDrPL5E8uz6wfhz6niW8oWNF99C9v2ke+LYdmsxQ9ju/t7DnZ0e9Fmks6WYK8aKp1ycaloBjTLt4JfdZ8H5f2byaHnBwu5tslB5V+nTymKQGOnzz8sl3clJcQbqpLHENao26sMvky8/pHi5PszufSZONn0I1ARxll6uAefgKCMoc+7GRM1uAtDkydx1NXNx14FOZCKkZ89K+zWblsexTvauAy0WcOdn1RbO40LWVADk5VAHsB5XM0MXi3xdf3IikRyTZTtRuQ1dGy0WtVyffaljlKiSBX5pW05PKshJcRYnJ9XRTDR5sScLZ0zw42qal5HVbVs+kdAC/TDBR0gbnUSTQihZvXL/lYzvpUTG6MH9jG9hQdqqGaBV34HqRwgeHDzc6Ql4TNUvkkFsyM5LQCYvz/wONCaZwP0AGiPcy2xiPX0h5uisC/zBI3luy9aAD5P4Pmyt07aR8Z9bF95h+Og+wssdUmtwLt+7vnFxNxaLG4pFf6+PAAAgAElEQVQwUafJZ2pCCf8BKCEpCsGUvM8Iw5TE6w9UB+pqKTuaPuDNpkZd7L1gJiGyw7EApajsInRyIqnllmjGpJCzM1oAUfH0Iy+O2h5aLSVxbSWLEI+jfF4t98OrJgVe+rCTiZKSOEwBSVe3TlYtyLwVe5YfPzTXrVEG3bUBgFcL0FY99Way6oQ54GDW8QBQyyGcn1QIuElRt8Wo0QSZoOMoafz5WElkM6HieL6EX5sQZhYOTlLLmzAh9OV7Uj1NCYr5dCXgp5Rk5zebF3sBbE3g3kSgiy26r5+hUci1l/wUSVGXhdD1sfSP2/yvk/P8dgSNCamVcWy1ePFMxvvSNn/ZFRj6+GCF/mGL9ml1eKelh9tNYerSXoe48GBPiJqizkAKX4XFwiI2976zqMz82R5DNmNyktmEykwTb0x9D7mdIBoLMtMml9l7KQW8TYoKluKu4vppnCV8GYQl2WQn7+txnejaxmz6TMK7+fzJbpbvOeGXKHT1PL1v/o9MLkwZvyYUGHmJ1nhXkJVAniha4dvcj3Nf4A+EvPN4lHbqdUYdgxwhCbkmS9R7eyBIKLxoYhllSc7V0CAE/ej6fbW6qPyNh7MOvybId6FeN7UeFBXJafslYVadqIpi5eARFw5B0aV5ESAG0sK0JbczTs4DKHmQo3IuB3+wqFBqpW2uqxm3aeExLh2a1iyYCz+BsOtikBqHuCS4wdfFwrJmXUOODs6jHOUo15K7q1kcotbL/BaFJh+oYct++hsehXOBh7GWvTM8CJyZrYrPApj4LMo19XO+FzWhFBQCIH6Jza6q2Pr7lxeHfRbZ7uauK74UtlWwVSVeb8RnEWMOUcb6/eVawoTWwUkEDL6aEJBx0hKIRdXedbXtiachYk6gJ89rG67wWbjt9XwWE1HafKD0242x4l0Uy2GdvsjaTUrSlyfC5kVX+Czay91hjI13giINQVCMWSg7ftVn4byDy+8It03Fi+Tx9UDtg3JmxIiT335ZK5KpEztGuJc5w9j4LBqTh1IxEbE6Q5+9BB/gQm2aIPc0Jkq7G9A8W4Aut/W8tpmOga+aWzxbwF92aNv6zDXZ7TpydxeLuRniCJSzXmz0waaiT1iO26YCmKwzdOazoOyzoNMTOa5x8O2uRkzsvRYLeVlVld7sxN+QYnVuAaB75+JUs9yXJoWcLta1CE0IwP3zfPyitMcB4pvY7iS6AsgEOTsF7p9PfQvZr8CLGg2hbSdq7TCKLwMAvVQzJLdV+7jdia3++EFZ0EqauJ8mMKWTRXWqzWn1vD/ss9DxAEq/0/1TAzxyEklQmjzNZvWUnXg78Gn29+Q08glCEcB4b4lwecBnkX0N3HiBfOvxR/flWP47fnBPzJLIiCcBbqvkNUIiw46KT4TbgBQc/EWH7b95jsXTzEyvvogulhR1lyn9gH0zJGwjaEjFDFnwYULe/qN7SK1DuOhLPuR41mD3qMHq80qNN64Cwrb+3poh/T2PxfMFxlV+xyOQfuvL6rOwO9kc0TmMIGV9Svx6zWLXiQYwDDXb0QKZ3lCzwOW6+BIAiEaRYmWyGkwo8DY1i0PEw97JQlYAQz3gvOxUmytCp7m9vNkCKcFl4I88jlvWLPqh8pJYRi5bVCjfl7u+IC1vS7Pw6pPizGhlWLXUp1JATMHDeQe63OCE+fY1i+9lP1PXl3fYrRY30iwWi0ZqnTYaVsZXRLOYyZWsWa+SzJpUqOwOOI5ufk23D79Vp+SbQJjfqi3GnDg0PoqNSMZZqcczi5ctGXhlRbDbEpo5n5VxyrJm6/dv8vzfsE0S/TDsVHZYLNZkXgHuXbSN6M09jX7W1hte504tFpMiQ7PVVfEG/sPHiJ9+Vn0PmeBG/y3ifdmpNJfEFhlSFm6FXKdcIEf5KJBiBViZezlSsFU1baAaDAD3WIoMxc+fYF6+UHwIGd8RE9Dlhxejyf2Qf5NmssZcdMZ+30m90yk/qAPAYJ7trPo71SB20yxDXSDcg/tA3yO9vHh9+UID075u+ULiddXqcr8n76ouYLP6pRMW9/zMDkGxAUzZ0uaiIC5bZnAcJ8dc01YQnPKJ5n5JScIk1eMB2bGJwA/uAR9/drh8oUZvXlG+sIzXa8oXeg1xn53USNynn4uWdc3yhf7h/Ql/LIAj3PsoRznKFy93SrModjCylmFWXF254yefwj9+VBN3lgvwdieoQrXHsy2buk6QmfkapaQgcl0PiK1ORMKZaW3Hz57KtVOaALekmvdJdXC+vBDnXb6HltijH/th0LavmZoAeNEgnYmj0r3YgFfZ6bjeIT4SwJH/7U/k5McPhKdzIVycvMiOyOcvgYf3hYdTq2crWGrRlBRsAPDPL0Wd7gbwPXHoupe5inhOoNLrpu8JX0j8I9+SmiBAQRmyJ8Q2wGWMwXDWIqyFJyQurGddkIgF/2Fg4/HRPbgMwEon0u+xDQgvlYOTSh+oG0DZwZlOWnFOfv4M4098S44txAkpdUOqZtM9bNC+GIX9yZhoHBzCekRqHdpPcsV0ZvRfO0VsHZbfFZ/FeL4Atw40ynXJ2vOOMK48wlprn8g+2/7OU3zy534MZx9n528gpEAIm4TuobwjYceFVHhURqxAYAKaLcP3jO5cTrj/r7ZwvWTrkqER3DxeYlw5rD7elTF7/qf/IDYfOZx+XNs5rAjNpv6dmvxeNlI3pFkzhtNsNkdg/HsmPeA1cqcWiz3hBOAAdt2qWTlVeorjr9Wpr6x/adCPTK6Q65I1b/Re1jcwCC19ARgNo3j51XmnCM5tL9EKc295h/ODsmrrMMoEtb6m7MhV2v2SAg3IZBxjiS4UEBXzBHSEXScRoGEAbYxDFhDAmHJ0opo//rITKnntSwa10RBL+wIgadmxRi2IhVZ+4slPstggsSwU+Tu3y6bPbqwLnsLnhzgh7HVJyghwPxQyXtdHcQirb0ETLokQLvtS6Cc/SIAB149wnauI2sQIlwNo4Uubw0t+JWGv6/cJe7HrsHqa0LzIZl5wslgY0lzfpQzAAsJSoxPCUE4jw/cJFOV6fjeChig5I4ZbtX3eIWw9wstdGbPF8xHsA9qXNbM6bB38NhZzSgl7ORDcIIS9YVsJe914fS/b3V0s9srXpcPfaWr13M7LuIHy7/wakyQsPY+nhDuHUtvjNQl7Y6oLmdr1StirNrfhgqBx5nMxZCYTImG9TuLbI+y1/AuWj7JwSDhpb0wgdZol1CgGmcXVoYxrCcVaMpgbEPZOoPP6vPTeyItITMJB6WsbSMdX21SeRQIF40wd+I0Ie32XDGEvg1gWGt/JAuAG4/sicz2Wyer6BNfnxTK/B5RDwwDAHgcJe32X4Dsh/DU5DfBDkpIAXAl5UyJZlL4vCHuv+k6p3qyj7TrXN1GASWZlSWZyla3L8CfcWGym6VWfffWqT6IWelzzToAKNb/NIsa2jRr9Me1VPARpZi4AIC8sORMUyBPaRltsotjbiAM4Uc1qVeVTc15yfoYeoyQ7teTP5JNHuU6pOQMc3ByuI+zIkERr7RLCJBvMQcZHf0MAgcAepSwAIJ+JaVKWEVdFqQhgp9eqYyD1RAC2DfgCojZHB+dRjnKUa8nd1SyAaQjNIjrnBLi6+1nz5FCCmdW5LF8nUeXAnPNFGm1CzxMEZ/59EyRzU8NkyjWwaKpKqzty8OBFBk3FaEoHJuFkZLMXNEEckN4JRZphqWLvBIA1Y23Coi1ITSD7RXIVLnVkkoLGFLyVEZ+q0aRVA+rVAcalyLAiGwEgLQPcTu6r2ZLEHqAR6O0zqxoJLwJol9VqtffVPwBUkJsiRdVcUpRrE5Ayt6f4FcS/VLQVQIoLM5fMTzlZnJHUZ15KLSnoHdIiIC48Qim/4CRBTH0Wpi8c5Hx9O7S4km8aDGeu+AHYU3EqDufZDOmcbP0MROOzADP8wHCBMJzlrNNnAY5yUSK1iD0hrhoperypNAvDaUB/7uB7Xyq0jUtC41HMEG1LCoS4IARPpaARRSBdn87i7RYLIvo2gAuIUTAy808S0SMAfxvADwH4NoCfY+ZnV13j2vfSOHRCoSIDIOQ0RJLRaRmk21bs3Pxv/XH+qPBnBWytFmILWtKZDBqqLN0kfBQnq7qodL1AuBUinXEU6WwpzszR+AUWAeM9iYY0Y0I8zRWrYkI8k89tJtfmNojTddFOoha4ANA2SIumODNL6viyxXi/VlEPmZyGvC9REj8nitHFJcfxh/sL+G1+mdQOD1JfQ9F+/b0G7Ut52eOyvkK+8whjqrVA1LQCEE8XZaLFHA1JS4+gKnaGJcdlED7KfO941sJfevj1tsCn41IWLhdZ6mLkNXP32GMRqKjn8nxlYjaXEbF1tWIZO/T3W6QFoXkhfRjvLSRrc0zg4OC7auqlPMnaDMtW2PbqxRLrrztQylElLxOzWTrsHkkj/K62Z8yPh0OGe28YvgP6cxmr5ZMA7vK7F+p7t/uwxXBCcHFVxmzzNY/1N0mcGlnGU0JzYRanvNamlkAjo7106M8yziXWaMl15IswQ/4kM/84M/9k/vuvAPg1Zv5RAL+W/34nQnNE4KtPfr0dV3ZGN9Vmbtao/c/z+zrafxJXte+WkYx7RWdMjVOm+j2TthHYZ5sxQmaXL8de85urRH0B87ba6+lCQZgsGuVcJ/9x6dMXPJ6mLXa8MGvr3jjb44rSVK3siibuXRuzv7/grt2GGfKzAH46f/4bAP5XAP/J2150goKzOREph43sMefAfS+IO/13do1SYzNnZtJ6K2bMaKIFnCMONgyXK5Nrwhl3HehiXTAiei/3YiNmgHXyxYgm75i07eA15NkNCM93k3Npk1meu14iCUoSAwD9AL/t9kOn/SDahPYx1zrlYYDXaMNG8gjI5dCpmk3ZPFl8vq0hQzWhKPM7aMSkl+Qnqf5dcRY0RGmvajwmqhJe7orGoftgeMF7tU7drNap20mtU951aJ/kOrDFDJFEKTXHfNfAb0ZxGJooDcUEN6RckSxHAsaExbMOcRmkbiuAdje+MnTaHqh1ShdrnH8nYvV5Pu6kIllYjwjbJo+XvENkqpTFhSuhSzcw2ku5XvOyL1XVXJ/fxeBw8nsp1zrdlDE7/+4JfB+wejoW7So1hLBNuXg0TyuSdfu1Tn337kKnDODvk5QZ/++Y+RcBfMTM38vffwzgo7e8x754VyteKz2/90BSfECacHOyU7CWuYayXqlt3GYOzFmNDyLDwq0+i7atXvW+lyxK5bvMUGYFXE1Cp02opkdK1bSICfGkFZxEvjW3jZgXefLwhNRGskvLBmJBWae1MLLPpQSJqGa7mkQosuZN7vd41hZaesQc+nQOqalcl+NJg7AZgOCqGcIM5x38UMOerKYcxBdS+pbvGYMrL+AclAULynIO2GyL+SITTV52m3XaPQhovezEqs1oKb+wjUitk7ocALghjCcN4tKhyf6HuGpeD8rK5lIBZb1YYPfIwffZDAmEFKQ/OwVlda5M3mGlPos87B0jdIz+TI4vnwa5ryMkNb2JMNxvMa7E96Jj1j3w2D0muNEXd9ywIrRrV8slKtVsI4WRm7WbgLJSuL768baLxZ9g5u8S0dcA/AMi+n/sl8zMeSHZEyL6BQC/AABLnBw65ShHOcodkrdaLJj5u/nfT4nolwH8UQCfENE3mPl7RPQNAJ9e8dtfBPCLAHCPHr1eF7KAqrkZAuQ6G2ouZBbmnN59yMFZVPgxihmyUzLYvCvWdk7MENbqVuq9z0SwJUFLE6zWu4y+5EmxGZ+Jc2T3zObDGOHXnUQbVIVXh2knKNCC+FRgjiHcKfcchuLABFCh7ONYQURaeyMnHGl0JOUxDc93FfxkOC7J++JXaYYocOshFs+8/k1dZbWmlGHOzMJardW/Ibtl6IdSok8rrhW6QDVDul6uua0wZ29MIovgdH2C341IwZWKZJQEho4kqn1p75jQvOzghqYgVsOmq/yebko0A+/gc6UxGYRQxvj044jFk/w+ZYo8vxnh+hwxUZBUZLRaGHnhoHWjfRcRslPZb8S5y42D67KjuPFYfLJBswwITy7LmK0+PQO4weL5WMag9YSwi9UMUY0tO2zdLmJhaPX88A7MECI6BeCY+SJ//lMA/gsAvwLgzwP4q/nfv/uG1y/OKQCVgWochYAm+wioaSRcuViURYSI5e+Uco7Jfs6+kr/SRooB8ZmQ32hIjC43YnIwVzOkaUAnJ6Dz08ppmViIaPScPNHiozO43VDyKwAgtUGiHk4mparVft2h/+AUxIxFzt1I90/g1p2ELDddCSG6MSKdLaXs3ToT91wVDXmSuTp3PeJ9yQ3xLyrRro2GUOZ56L55Ji8skBcvcVCmtpohw2lA2ES4mIr9C2aEXUR4ZtRa5dVMCeOj05Jzov3mcILwPC+yr4yG9PDjiO035JnFBYGijL3CpgFg+8hj+SIieSrmicDCgbBNiAuH1Sc6Zgm7r60wnjic5nulpX99NOSlVjDP0ZBhxNMfCzj/3bwIBCC2hPaywfaRtCFsJWBBCRhO9F3IQ7Rj+C5gyNGQBwnwOczrcsV3doT+fsBwQjhb+jJmL36kxeUPEk5/rym727gitBehmiFqDbcE1we0lzyJhoy/8W7MkI8A/HKOPgQAf5OZ/x4R/WMAf4eI/iKA3wbwc298h6t4GvS78nkK52bm1zuCJ3DqQ8dThS+r9nJThF+a/qbgIvJx/Zuili+ctWuMQONLHgQAWYyuSJn5QmQOAU4WomzyQJKMW1kkUx1HxWNMIPTM0+Ny5s3apuOVMpQ5oezO0i4AjLx4cDnGpMcr7JsyToM0HR3Amw4qpXK7en/mwuymx8HmHeDqU7G/pwxP18+vlPzbye/1PqjHMP/8hkJfCCHMW8o995j/mPv3JhBmd3oK7ge4Rw8AYFJF3d+7N8nT5+1WCrHkKuq86xCfPEXhRpjxUgCAz7wTcjNfziV1XGZafbqszErwHvHjT2qNDqDU9CjsUpqQ9bUPy88OhnPtMWXc5lyvQr83nIuFfg4AvEP67EkFLlm+ysbUQVUOC94vMqT8FAWMlc2c8NGHFV6sRYY0SqNjo45gLf+nx6I4bVUL0mI3xcTLUoBUnz7ZL19oi0KZv7kf4L/+tTxeNQTNwdfJToRSXNoWGdrs5O+UkB5kjVIxJJ6qafHJ57m/+b2Z80Jon4Fqhm63oB/5fTUhjkictLu+YnHKppBq322R4n5AepjbleuWcuOl7ikAbgLo48/knspzAoC++RH4dCnmYNlMclLlgSrq9PJyUkIRAP73z/42XvSfXmvVPsK9j3KUo1xL7jbc25ogGiJNceKfQNsAfQ9aLqY/XS0FQ9E2FYJtd6zzXLBmyGxJy7ZU1gYEs4DgBUFpKmm5kxMh0VWcxXoDOj0p3I5JuS8eP5DfMVcNsAml3gRtulJKj7oe6b6UDXQX8vt0/0S0iYU44Mq5mbjW0Qf7OAtDCAxMcRakxY3mOAvVRDIPR/yBDyq+wCQy2cSmtAiCtRgTkoZOEwv2grkCnWxNj9NFcSQqbNsvWrgZzkLLFZYM1WUrvJHPX2L8AdEGU3DFFzEh7M2+FJtIRsyg8Vyul9PlAdnlx/MWqXFYfCbPzrXfeCXOgg/gLNwnT/H8Dz/E8nNNUaeSoj6cydi4gasPYVFxD2DAjYJ12H4g1zv9nnB5sCN4ZeF2BDr7gYKz0DFbf+sxNh8ELJ/H4reJreAsFMGpCE32hLB5uIezSP/HV4HPYp5pN0lRn3FMAJNoCHmHpOUCJhXO96MhAMSs2EqUg6wzlEjUOtMWJdFVNTR1nSQUFlCWRkO2tW06EcYoKnlOUbfp5CVaoItVN0h7slpaFiznBP6dSw3Ye1pCYAACFFOSY1sKIPeZTX5KIS5+vq7dTzX3gowZ4raD8C30Q0nNJlMhjLMDE5HLBHXrOt4uAXCQsgODifLkdiHGSjmwEROPt1v4F9s8nK6YRmzyS/xaigBx48ELzX+Qe7MT8JbC7SkmNC97cWgqUOvJ80oGTDSJupH30n+NUqlZt97g5HtdidSASHJnNj3CpYIcagRGF5m0CKWtrhtBSdrltwKw4uDgMt6FFx7h4+dicl1uypgtPzmHG5ZCyFN8IYAbajSkoGcdwb8UQuNGGd0zYdF15e4uFgciGEXsg1SNQ6ntASkBYMoaFsfnBJSVB2wYUMr72ZRrywFR7kWgEKR8oFYIi7GWPtTfAQKayppFgUt7V8sIdn0FhnWDvEQ58gGgahTBgbqxtqvr5DtbDlAXKFMeERAvukzyEbRa1bEDoAWI9aVXNrBiAyP7QhTBaTQLbvOL3jZlUnLKk86haBCSiAbxIywX9bp5wvC9sxIGxBWh0wLSGkakHLlhAxCTyZDzNU4a+N2Yk9/ymDtGur+SCURUFjc5P0yg6FrO8KrQKR8InWIY0D0yRa09SYkARxjOswbVV34JjaKkkJ20EfCNQ3c/h063wsmhCXFyMiM+PEdaBgTnypj1DxbYPQxYZK0FyEjNXe2jgq7YE8IqwO0ikgmd8neu79S9u4sFgD0CHJU40zKYZYEwp/AwSshT/51JwSgoG5TuyN44yyxBTT6Xx3FCesrjCNruqoOzMGXlmiGmEjmNZEhoasKVOOG6yU6gGgV1mSnLEqsOI3izOaxZ2LHJ0HQe6s5T6AhnmkWh+b/YTvt8iHOjG4tmxIMpUpT7WquHyzOhmIBtX9rg1OH38vKgZsHROOz6rFn0PZxS3gdf341gYOjdKAus9yUUKyxjlR0rnWTna4zwl/3E3KCXl7Xo8kyzgPfi/LbFmQHwdoflZx3Ci0oPyI2H240FJ1GiQCkh6EKZs3iZpN363P1WUgTYO5MhS3Av1nAzzaJ9soOLDL8eDFsYcm1VyrSD1cHp1p0wxBnNwppar5M7sljw1EQAqidafQDzX9gqY8jefX2QQ/9azaKokb1J2QaqybDrBCikwC6IGXh9zSJXtEqG4s37miq+6yt4qR8kgsAMyjgLVm+5c7JQ6GQahlvVLNJZ1Sygdr4jsK81ONMygDoxmdhUt6JBtLFCrVdC2jwpUsQK8LqhZsF5opc8lYSJXySusmbhaZIgRjGBhiQFiwploOBeODi4dd5931izqP4ydiSAqjZIyjwwYa6ymgUYMtm7UNLZw8ZVVi8FVDl3ULMYHi6xexyw8FQWi9g6AWVpiroFZZ01b6VZHKMhRznKUa4ld0SzuEKstmEwElJpK69zpuqX1h0BOaRdB3AStfsAzoLX1ZEH70XDcFQ1DIgnnS2tHjO468T0MDgLq30Uk+D5yxoFMcQ1uIDs1LafRFL3M8Zyf0GWOvFRALXSGQluIT17fhhnYSpuaS0TZi5lGq/CWZTaKp/OqEcMJ4W2zb9gUf+HsdTGQExlR1asSDGdxgh6cVkv2YmTl58+RzqAs7DH9G/uB/jPX8hB4+C0ZojXdjRhagoVnAWDz7KGNYwIu27Cks5Pn78SZ0FX4CxO/9WzKc6ibUBdj1CSFWv2rb63WkuVc/QnPJd2UZ8r7jWhVmDzHnjyTOqwbndlfJbfDmifrMpvSn9j2ndwEokJM8NZzDEwr5K7u1i4GYeEqpXMEibVh9Y2oHGUOqTGWeWWC2Hhbtuirk9Cp2cSOuVhkMFrp9mX2O5EVW+bWmIgBNBiMTFDcLmW2qO5HGKZ3A/vy2SxL4g39+mHeo1hlBIBCXAZBManK/FvLLI5Ys2XkyUcPXy9GbLe1NyQbIbY3BBrhvAzKTqcvvawqsHWwempOmobgURjTMXBiQTJDVFAEFAdjcMoDs6S4ZvDx20Dd8AMcTMzxHUD+MVLxK89zM/BOFuDKxMlnjTwm0EYrzSKkxg0nJaJoxOXRskATguP5rN8btvc2Ayhz5/h8lsPsbQp6guHsBkxnuUUdTVDUk1R1yxeSpLT0t+X660+2ZW2OnUeewc6WYgZ8uSyjNnuhx9j+0GDxYvq42GfHZyHQqfbB/tmyMWXLXTK+X9mQUh5VY0vpQrVpI7IMJZQpYMsApQC4mdPyiX9w/vyQhr8BXlfIdx6r3EURullZspy+cV7+gwuayrlXosF3PkZsFpWPAYwyQ2hNg9+28j1koGLe4eUJ73fdrWI8WYndryHIDMBOPpAapKcnIA3G6lVAiA9ew5HD5EenpUXl8zE0rokAOCC5IagH0rqunuR8zW8yynquXgvMxAjxtMFfA5zVnZpqr4DSNjP97uSvl4eRIygF9vqPDZCi7buYvk344fn8JeaJyLtSo2HG2JZsOKqgd8OcI4KpkPTyMv7oGvueahw6izsCOOqRViP4Nah/Z2n5bt4Itga3cGHr98vNUkknd3gLAIhLjyai5zfsvAAAS0Rdg88fJfzODzKbt49kPaGbSpRCa0bwl7yTdp1gu8qFZ/bjnC9WaSybH7oHsaVw3LpJbwKoHsYsHtE8Ib+bzglNGsT6te6IS0Q24D2ImE40YUUiP/i3aWov1vJdURsLZBJfRArtqjtjOcRRPWF1t1j14mKpvVA7DXtvaIQxpTkrRjFQTlmnIeWAtjsyjVVJnU9dl3NBO37khRW7plrkXDf139zv7jva10S0z4CSl0SIDtOtebITgs3CwiNRoFGT9jEAcELzKqow7tSzwOQuakh3ok3Xdt5qIp6Hg9tJwD44EBa0ChHW2iIQOSCd/EazUhcCxJdUUW9JRysou5NFXWLrwkvd6Il5UXMr4dSkyQtQolmaEjd7SL8Ros652StGHHy2Yj2ec061SrqJRv2GlXUQ67r4jRbeSbNixX81iNcDiXJbvlkALjB8mntc9heXUV9OHVoX4wIu6pZ3KRuyNHBeZSjHOVacnc1i3kodVJYyIRa9bM9Zs+fX0dlVohYq5qVu9hCy/N7meI8k8JEE+q/KFrFrFJa0UgsdiLG8jmp7ZkLF1GM5V+5HYuvQYsYadtzEpUlCEbJDuXaDm27mmRz8NswmnZlLZV+yDQAACAASURBVClD1svxobbX7ks0xlLMeU90PMx1pFDRzIk45v4YbQljtsltgZ+MGCVTfEno/g7cO/+W8rhO+gpUaoOYQWWRQSFNfDfsxFSrJQWztpAYvksSSoZgIthJiNZpkaE+Fh9KYQfPGojrqslVxuZAseICJhtT0bpcFxF2fsLo5V2c/O20Ylym2PNDqun7jGnG9Wvk7i4Wc3lV0aFXnW+cpET09pm6uXq2uWjFZjjCpHLYu5JCLEx7bWNHRcUv5xY/gwFakWAp3rlouzIFH5PymxpwnHN1jN9Be5SWr0yqiAmeA8jOW5uJe8tS7ucEd/FG1wjmOgC45LJfT+7uYmHrhMyPEe1/tsfsubbilL28qfsBQBKqyIROyU4wk+ar5+hLMmQnYnmZs2awaKYVuYBJXQ/qh0ktj3JcJ2+uRUIh1H/z9xRCrUsCFM1iUpcEkF3bZ7SjRmFCqGMyxqmjNrFwh9rfAxWVmXf2dNLCqR/HcoMOI2jX4RDtQRmP/BnAlJczR1u48WKTJxN56QRhq7ymWttDSWpUxrP2YDm+1Dj4/DtvUvjTqpVjl1qaoEFqs4Nz4VE5IgRRaYswp9bLQrwb0d8PcH1b+sGO4IPDcC87s3e+EDnFpUY4coSicXB9KvVEmqftQQ6XeBIQWycAs6xlDPda7B74SpoMYDz1CDaBr1WfBWE4cXCDnzg42V9/tbizi8WkTsj8O1MLxNYHIVOFvdQWcVUTYM39SKmGGDWScLIUNVonj3c1smHv5b1MbIu+XLQ1BMk5YnB+AqfoyyyWySqMsUQofOJyXF/mUovkZCVt1PauN8DJqtYlAYrpYeuSAFKbRCdTIQouiFUvi4VWcs8h2+HRCuEyvxaq+mZiXiXy7e+3aF1ltlLxuxF+GEHbAy97Hg8Apd/D/QWCPmeNhrQyedS5GldBHI8bh+GRjIGyWblYEYoAsP2wwbLd3xjigtAuhAVr9aKOz/BoJcfWct3hXltqkqSW4PO1iCVyEVcObWH0cmAi+PWAy296AHnBCYTkgWbjsX2cUZlbLqU9xpW0N3mJsDQXDr7ncrx9toLbGU6SLLvHDYZ8TnMpz2H9UcDmGwRQPb8/I7SXdQxia6IhC0JsqLByUWSkG6wAd3axuA1RINIXcKHrHXtXYk2MeVtMUtXk2NxkAa5mJbslmdTD0AU9mwGTlrgDtUduQ2x9UnM7qeVx1W9uuU1f5D1n/bhpzZRjNOQoRznKteTOahaHMkXLd6ZwEGwxoUOFiLQIkRXnClmNIi7pYj2BwqZ8TQCTe9GiFcyAIg4zQzX3/WSn9s8v93EWpggQXazhNbFqs0V4km3ZDOvWwkXsqGSPAhAI93ojGYhqUqhvxBQxAiAJR6PAib09ptpGNBGZnGXbfrrew1mwd6X4DwAsukXBWbiZz4LXm4M4Cx0PAKXfC+ZKF+icoA/XGZ2ZvfhuJ5mkNEZpG67GWfjd8iDOgg3Ogi4qzL/9NMixnLzXPmmk5mxMSKsg+Aig3IcdwW+ymdl6AbYNEff/9YDF032cRZN9IdfBWaR8PDy5PIizOPmkRQoOYT2USNG93+nQXjalwBEAjKurcRb9PY/F8xHjqvosfH99TfvOLhZzkUjGDUwIzbg0Pgt4D+S8jgJGMhmhpNySrxKfnZm++jY4eLmPoxqS9Q5kMjXlt646Rr2fEMvsFWT2vvShZI9CfG56fglFag6A98X2BwCMOUciczpqe0sUxNyXQgClXLVr9OVeta2+ckg0vqbom/GixKW9c9Hx0M96nRK6zYvFhP8zHwdLLor6X+R3BNDUwZlaX4suG0mNAwUn35n2cjmWJ1QbpHjQSBiXHqXUqOcSHXFDKm1IjYMbAuLSIWnquYZODbQbjOrgbBX6L+dSEiBdOdc8VyuxceLP6Yw/YuExLgmxsceoAgsxc3CuCGHjTLv4Rubd3V0sZp7Nia/hOjiLzLZEVrMw7N+FOUpX8WGQiW7PPYSziDnfIyiqUxCSnOIkZk3dIFqCzUcB6oQZhkkymqIIC85iGKRtYSz/att5HIF+MKngLIuAalbKiTFU3glopr/mpNAUwak4kwkytCA44wQL4iz/h+3fmBPqDuyMZTxgIj7bod7LO6H6K+HKPA5EFVei8PYxVZyFCakG7wrt3eTewUm/xlT5M4ByTDUpv+nBo0RagqNamc3k91CuaObGBGocqB/RvhiFGwOAVnB33YgmP4cJzkIXG9VAtqM4a/u8aO/6g+MXNiO4c5KCn6/bvGSwFyi7iosMtzNO9Z1GlZwUbF6PoJjvxXWcryN3d7E4FDrVr0Komab5M4UwDZ2GAMR+qlnYzDzld9CMzZPVhNYOz32NcNhELS+8nGVHHkeJjmyC7KrKqH3vFLTxE4ANL5pazZy5lhQESl0P+iSY9uQEMObSXtruQKuVRBQUwq1Aq7YpUQ9AAEACca4RCD8K5ZryZJSQbTYRxsdnr80NiedL+Atf+lSeSzfAxXQQr1HGAyj9Hh8s4df53CAl94QUpoYH0yLA7Qa4YcT4OCf/zXNDsnSPWrQv91/p2DiEdSu5IZvKjzI8PgO3Dk1eLMYHyxxp4awt1GQ09lLDtLlQWjwv9U8/S7j4wRanjdEYHMFvozBo4XW5IQG+42Ia+PXpwdyQ7vEC45KwfOqKebT9+gKbDx1OTQRIckPqAmBzQ4ZTAvsWvZYvTHjnVdSPcpSjfB/I3dIsVO0n2gdYxAiQE7q8TOoKYMonYX7DXV/4HEr6bt8Xc0ZTtQuBbQgVxJTvV1LT7b02W9nxNQ1714FeSrlENtdzL9fi9LRquikvyJtthUxvt6VSWByr01NLJZaSibkNvN1K9uhg2pfBYr63anZm++oHeNVwtjtpe8abKHSYt0IwHJ5c7pkh6pcpMO0hFrYm62uhMcp1DiWS6Xjk8wCgSaloK4XdO/jKjQFxoFI3AJstgvozNI3clFfUdvn1vhkSshmCJhR2cwAITzLgLWNMms9bob1LQqxb6fgg5kVwBdYtvg6Cf36J899donmaNRZjhvhdriJnzBAtqDw3Q1KbOThfrA+aIauPW6TWw1/sKg1gYoRti9Ykki2WfmqG+GqGjEvJmi3lCxlwX0UH58TEuK64XEG8QIqF0ORg0Z9rX1MdpwcQou8Sa2FxEtoeQ3QyOe595fbUhcKRAAi07d7jIPzxlvtgyVnKfzNot3Xw3qawws1LCr86WQ0SV5vmMOHNuP22mc9vCMsvnCQF8Hiz5313F4tX+CyuA/cueSA2p8R6mUs0I//rnEQaysQ/DPcu/1kIuaO9+yN40Oim8ZsQqq/DzSIjepzMpPbivSdfvfiUk8DkZTZRHkDaFIyPxh1ory4UGg2Ze8ObUKMsqs14J8fzKdx4YPDlfBXWtvh9b76Oh34GZLKVY1oXNbiJ0419rjjmXC1bkKMh1iEKSDREHYVWlKyHG18pAgBwk0OnCvEPDtw4ICLDuzUyg6JZqBObm7wA50hGmIREhRNTw6HSv8OhU0oelIspy5j4PU4OvV9qHZzReNLCY1w6NMZnERc1agVMQ6epFYSsRmQo8Y0cEXd3sZibIUp1BlwrGsLKNm3rhJrvShbnjbNOWfAYuvCknHXKsxS+2846VRYubXvO9ZhknZbCOuZeKck2pccVS5Hy+L3jrNNynYwVIeYJBwmZZ3PrWaeDaJ0UIxzR1AxhCeGWY04WdIrpnWSd0hDhtI3jm2WdshNWLm8jTl+JrNO5ZkHOZJJeQ7PwDpzyjqwvr3Nlkr9pIhlCkHNNTVSpWzlkjEG2SW89kaydhj0Ve7Gq0RDNdSGien3lycwUc1zoBB3A9P4SyQyGQlLXK6bDOQd0w+0nkp2IXwApIC18mewUUzE5nM9j0Hph8b5s3kki2XjWSiX7WEsbvEkiGQCMb5hIdoyGHOUoR7mW3CnNQtm5eRhhK6oDKDVL/YePhWuz1AKJAKdMr2d+k9gwT2cw0YcfiKe7HxAzQW3JKM07YgVKDXtlDzlG+JMT8fjr7sssla03csw9uC+3/96nUv3b7LK2yjkPlbA3jSNIa6VqJOHzJ6WgEWKsFcOGEfzsORxP8axEJKAvW/U9ayFIqeAotOK8dIurM/HhfQEE/dZ39ykKgUl1c9eEAmYji4iMEWk0TNP297uuXjf/xq/P6/emkrxl7C7AsCaAfuu79Z4sJiaZXXjRtNPCQFlc5m0l75G2NRpCLy8mx3xieC9t4JNlNXvUtBtjZVnP5QzTgzPc+0ffkVKRtTNAimj0WcdUgXITX5dE0QqoDkBab/YJiQAsTXa0cpGu/q/fxslyUSN6+fqTFAPj7I7ffAz3YjNBsfrtfuTqKrlTiwVmk3PvO05XFh2aiywiDkRcw6W7ThaUG3qBJ5JiCeNqWzkzTrFzJZ/k1mU2oVl5K4CqxnLmsozTRbSWr0rFzU67/uBEu1Wx5oqdILaqmrb9XUSabFGkxJWDVEO0KdWyCykBydWiRe+qbV3/xpEhisKcxnQDR4WRO7VYsHlZ3XI5WZH1u/jyJcLXP6rVwE9WSBeXQse/raS3tFrKOScrUP5telZrYrhv/X75/UXe0R+dw5nCtf47H8s1x1jvdXoibOCPH1Zfx5Pn4McPCrdEenkh7fwj34K/7Ca1NdOqwXB/ASZg8fkW45nYueH5Dt03z4DEWP2G7J7xBz6Ae74Gny7hLraFtdt/+gzpaw8xni5qMV5NSFu1hfMBANpP15Lrse0L+jE8yfU7sg+i+Djyrr3+qT+AZq0OP/WFSK6E76Qv/f2A9sUohYZXdZcK24jm6dZU/eKSsDZ8416BRI/nokGOK4/2eU7W02jB0sPvYomIjKcBYT2i+d0nWP/UH8i/I7gRcCNPEIibDxyWz3KbdUNlIDbA4mXCuCSc/famHL/8wRPEBeH823Js+3CBuHRwA+/VDGVPGM4c2hcxt1M2i/P/9zl+6y/8EM6+I+1NAUgN0F4yth/KOWEjvBvEjCGjJ1MDgICwBsKO0d+X449/fSjjXHJxiLD+ZoPhlHD+O2MZs0//nX8L6x9knP1OHYP+HGhfyLXBQMrk9nEBUATal/fR38sw9BHo/8d97oyr5E4tFlbmTjIbE2az85TPc9V5lOJDNNYiRJO4cmHGlpeLdlIgeRK2Uq+82al5HAtrNpAXsa7fKzLkdoNMGo1IAKCe4LfZaTbEkntAMcJvRtnwNQdBgTeDRD2sl5/GJJDsbgpyAlElrgFkFxolO7VAuHO/SzRGza7c7mY9Fqp5GqXtKTg0iWXxANAEyapE4voC8YFohGaPpgS3Hct3Wry40X6gYgcosmSamufp1x0wDAgbzQJ1cJGFvMUkUS1eEpp1Agg1JMxAIOSCw7WgMiIjbCIo1VqnzcUA3/uSZaqwaiCHeVMtBeA1RNv1WDwDFhcZnh4IsQHadULMC1nYMdhxBkHJz5ISl+0A33EJK/ldksrmnsp4syMsXnj43kkb85gtnp9gPCE0F1yZxAegueSyWCj5TWrlu/aS4bReVQTcDagqjw7OoxzlKNeSO6tZvFLY2I7l2MwPUZLGDvsnyg6jGIWModi7ztyuzmzexRHKYtvONSHJjOSiuQDZZlSzJNXwIGKaVNrW+1Kq/paJHc+yq05sakC0Kxuzj0k2LHt9xU6QmAdzjYwGw2odGXAMNwIpp11L36pNb9OhaUzF3p+PHSUubaCofhMLwMoa2ehylinnvzNvBTOcOvkGCftJSnwyu6qDG3PadcHI5O8iAyOXMaeU5Nxx2i43JtDIYKYJOIw4wfU0aZeOse8ZbrD3I7iBC1eEH2qbCsahtFlqd7hBk7vyczdtpyTXd0GfO5ff+o7gh6qZOE/wQ4bSsLkR5DxpVz4S8dXAWbyOv6I4eWxMuqieN1CYDMP1HoTaC7fBhA/juqKw2lTRk2zbTFT1Op8xJImnfAvKyj1v1206++z1M8yZMzK8wslR4OKVVp5rexX7oC4oxYFonsINYvtWJuPHlWMCdT5kZu5qhgjIS37LrraNtX6QYfF+U5H7mTa43FZ9HclO3npM72/p7hSsJWZP5UY5KGTufWAMtN96/G3lzi4Wr5RDeSLzCeRo+u9MCvGMHvBu4l+Qk7hqHfY+3uQE5DyC+f3ZmxyS0hZUcpoZZLy8NHqveb6J7YdOPO2D/sb7OlG1j94DPtZJrQlN3h0k++FABSLsxvziBSdw53xOCiTNMdyYDILXHIq5dpbbOyccshNVfRYpOLjRQzWNFBzIE5xZbFIgGcKYF4x8m9gQQsiTLXeL86x0sR7TZ5Eyx0Px23jpO1H2WVjYeRDyGeWH0DFi75AaKinocg0BQam/gBIytJsQsz9ZfRaUAcB6nB0EGm79Lk6ulxoZg+IMbuR6KdQFM7aA72WRIOZyH/mX4Pvqx6CIrwjcG5hMkAnbtz2uqMn5AuJ9yaM4qIUoAjNPZs7nKSKQ5OIHtI2cx6EYDp8/29wNALENAs3V3wGC79ccgMy0BEBi/e10ceDganu8qw5AoPJLDFPINTdhwrbtmlAydBU1WbJEc66HIjAVLzEuPZpsRiSXowo+R0MyjFgiBn7CBkUs6rLke2gCVh67mJBMTgPnfsfGlRqhJYchIxzdWP92YwOEUO4Vly6bDCz0+HlxGle57ufEwakFkYVFSu+jf8e2PvO49IXdmz1NSoWkxmE8cSX3RJGY/z977xZqSZOlh30rIjJz730udf0vfZuLh+6ZsUZGyMJ+MwN6spA9NgJhvdgSwqMHCb/4wbKNkY0R6MEXDALBGAt5HixZbx6sARkbjEAg2Y2ZsdTDqD2anu7/n+n/Updz27fMiFh+WGtFRO5zqupU/V1NdXMCqvY+uXNHRsbOjIz41re+b+gCpuNWtZuQe6nfIh9MAGue3rSqgCMA1b8AYtnuQCzfcXonsxP25bQiDIvqqxpXwHTCiGe1ndORqG/JhUJIQz0eRblYRlX3luUlbl3e3cFCM0StXMuQa3xLD7cRUJWyGmLUrI4WAyCSuPlsBqFp2Sk3iVpU8jjKnpaz0ORuAICbVDmroXxTYrgxyw1obmGA5BnoWrUMYi05yXImAKGXE0nadksaAoApVnUn/ZuyKGVZKnib00Gx5ltYNMTvc0HhSUOfDMhAYc0d6xq/4Bi2lmZG7oPuJ1EPAiq+AghuQCQh0r0pT9XHfhsNccHJPjEWX04ede3OEj4tkYS94AQ5EJgMmxB1Khlc0CxVCW5kUM9lqu53qahHHUZDXJQIg9f07wIFTBF+qxENAM4DEYSwZ4SNbAt7G7BqW1MiIAue4UfAaxTcKBDsqVLeCeg2GcRu1mdhC4S14CNWbyCJsMhMpmJzOQJ+D/RrLtNpSoB7DcziLhpyV+7KXblVeXdnFgelXYZQCGDjSahmBQUP3jVkoGEQTkHXN2IuzUxlYUlc4iqel50kJulTscxXDHgE5Ik+DODlUMhbbjsgrwa4rbBfSAlc03EvnRtdeXLlRcCoyUVuTIgred9NCdNRADGj1xlEHgLcdgL3AbSPheLrz1mXM6FkMMJSllc9xns1kWzYD5qIRUgnKuFXlgIemBLyShWodTky3gvodP1N+jTNgWTpoTOK8Z5HfyFTZktKAgMcMvw2lGVIcRmDQ1wFky1FWokDee5ceULbkiwuPcLWF2Hc8bRD7wjuvMd4YkslgktQk5w6s9w9rEuQAjiyPGX7q4w0EIYzWxqI2vW0Iqx0CTiedIXwlQMQtnW2kzvCeOzK8qaYAn0+YPc+I2x12RRkGZKDw/Z92SdsSB7LTJiOtL4eADHChuB3wHgq2+MnDn7fALIA4IDNY494RAibmiy3fY+w+1KCn3yZWcQjIC0M/xIyllxPwvGIF1SORQk/niZDM1JWjNeAS46p2eaBaRRSlr4e1uF2DSnLOTjjyLf4hnMz3j6IwPs9aBuKngPv96DNvuQG2LHCelIJ+1xAR7cD+gs10ZkygsrKUyEIVcDRjQnslDDEXFKgRRciw4+7IsdfhHQzF6cwAKDNXhTG92PRzDSFK0yifFWyR3U50p9HIVwBhYHpCHBTvXH6C011njKYdHA1g+ApVSXxJlU6bJMszQB4U6heR/hLmX87O+99mC1D+syFgNZd1e9Tlql3HgSPAGT931+K3qUxOymxhAxHhp8arCsx+ssEkGhuAkB/NiJsX0zK8nuP7sKWAL708eJzwuJMSVmeEReE4aJKKvg9AJI+6tY62CwIlARE9TuU0KmQsjJy7wpGlDuH1ZOEuHboz8bSZ4snS6SFR39WSVlhQ+iuuCxDDBtJHSHsGP2VDFDSB4Jb3La8u4OFaVHcFM04cAXnlEDmbm6fv0rivOUvmOZF5spTSElmHTkXdibdoDPwsvopCdRd8AaNFBBUK8HAtikJhyCjwSGyMEX7To5bvFWjtPEtLSCLngQUZ2AClGNh8f3cO8EBIpcZAGXI+8Sg1LiSA8o3qRyTQiN/zXBewSw81/V4k4ojF7+2veEoQHEIinUAoJiLb4YblcLditW8RqFUsQEimZlI+7TdiWt4k5vvMIMilI1az9FFVl5HxY5yd/1WpSygpZvq+WbrGztWbvrhC5Z3d7A4CFnOlyFetCqAoiRFITTEqPTqaIh1/hQl+68PQGLwokYHuBMvDUqmpORvHw0ZpD5qvDBy7yVaQfIELZGLnBGXYQZw5kWQXJXBg6dQl0ddAA9ell9vIxqy9OWioOiKPkMaKlU6rhyYAtyUEY+Mpi3TfbdrlLomjYZkMdGxQTMtVfGK8FrRkLg6WIZkRuqo3CjTMcElj+xRlieUGS7J0iT1hE7p8BQz4sphPHZYaJ+lwb1RNGQ8BaZzW4borCFTiTrkUAHHeGTXh3SA30tY0/xH48rBaXjUWTg23BwNmU4I432ZKVgfpAUA4sa7pEZD0h5fKBpyB3DelbtyV25V3t2ZxctKSykum5ptmat+2W3qakOmqalDl0KFWv46psrMhT1oc0EqTKH5cS3kOJMAzJJeztnP22jLlbc5zLcRZGYwaG5IwxbqRZk+E+u6OTcVKF1cwpwNrTrzjOH4uu0qU2xu3tvnzCBuCFXlO9be2oayPPmCU/TDNlCWvqCD9l7br91uddmShpr+fhFjV79blh2lD+r5zfrmC5Z3d7A4EAC5lnXKFVtgvuEHfxXPosjo2zo6zbkXsDV7MwhpLsWteBaWgZmzUL4BgCK8SbVNCc5XzCLslJeRmnW9Sai1Waf2vtWk/AHyLMI2lTU8xQz2Dt7xDLPgILqTbsol6kAM0ZOcUhnIRPNBzonGeg42lWfCa/EsKsfBySDFDBcre7EbCGHL4NDY8umN43eSx1L0K2NG2OYKIkOJkzqAvA7PorsCuq0BnASXBEzsrmQnv6/LgspVEe6MG42HAd3X+pVK/knOQLehazyLbs3oLtRUqMFCunVd9ljOSu6E2flFeBbvxmBBJGyWVulKfUlNeSp99nn9rBXmNY+JaQQdq2PVfgSv1zJgjI2FYPM9swtEjEBSKjJztQRcLQSziAlU2J4ENvEdU5va7gTfsO12kV9si31geTKMDsEA1P0Ib2no+wnhua5PTZeTWXNGrC8MAdNEq/Nt8eEojmm7fTEdBgBeb4QFGmNNwjKlKFW+MgWtrCBu92xbByZruzFJdSD026ADFgtGAQAZs4FCGqTS+lOE34x1sND+cOtdjc7owOnMn8QGzc1erA83W/RPVa+kq/hJq04eNl1Jf29lBcBKkmuf0DkjbCP8nkpkzJ9tqieJc3P/Du/Q9UH8R4CKWV2ucfrdiOFptS/MwcFvI8JaNTjHXOjXBqLmQDrbkgFo+57uuxWrRm7sE50jdM8z8iKIr4v22fHHRwjbDsNZbELQcx2OloYetglul7A035DMhUx2m/JuDBY3FGqFdm8qJmDrXaV7G1iXEnJKMpOw18Myy6eoTMk2Z4QXndzwlk8RtE3jVOXu7e+D8GyrMTFLBLIL0LlyQxSQMTF4odKCROBVDxqjDFpF4GYQQHYcqyZHq/y9bW6IcZKbyYyZdJucdy6zLwA1AtIqP2WWiA2zGuFUcFBsBmNzA3IZKNKxmuvsm8+Zq7iuk34p7vOowDCFIFokzdKPp2mmcF62K3hcsjBVKZv7hkqfGOFyXwa7dKSD8SjRnLR0BTx2z6/k92nV0q04AqZQXd/t9xinqkEBSM6NEwPlor9hfTulwo5NCw8/ZaROZjthp4OfnlPq6nlx79CdXcCNYdZnfpcQ9r6wWQHAR4bfJ3AgiVbZYOEI4WwPN0bkXSh9eDibflm5Azjvyl25K7cq7+zMglmAxRuhnQZHYNJliLmbAzda1t9YBzDXeCQCUZ2C05Tk6dJoZ9x60sYVIG15FsbmtKkmoE8eFYot2IvmBlCyenRaHlNNO34bpQVZmWuauaNi2Mue5MmckoRHAWmrpqK7ffXhkNc4F+H9AhqS8iYXILPdTiSzHkcVxzDcqSyB9hUnyn0QItkX1NF0sWqLEAM8Sbi45s3Uz4qOhXp2+CmLhobu6ya5ZnxG7W++Ga0vOhexucYA5bRA+Ui67xc6Qynv7GDxynJIujrIRH3tctN3bO37KlT6ZXW65nsveGXbh/l6KvpNQYNXEc6+SGnPty3NQDfrh1b7wvQTDj93VNbs1773GoVvOu7B9mv6DQeWjmWwLu1+s7bM29XW/+J2U/OokQQ7LpaJ3HyfaN6ulz0cSlSJ699v6+p45WBBRH8TwJ8E8Bkz/4JuewjgfwbwUwB+D8CfZubnJL/AfwfgTwDYAPizzPz/vLoZjGuK3kk0Hm9U884H+9tMQzUp2eTaX1aKI1med67B0vtRnobjNA+t3rbc5IamPyQ7ffI07Wdz2JoOMANzDbN6mgjGWymNKXE5D00zr+iEm7UPQGWrNm2jSWn5GpUpM7Q3nVnYzNG5ykykdiYkJlLMjapX4hLCBRFco3vqmJFdTfV/00IZVYELNaJSA3MAywAAIABJREFUQ+OWSlpnxCXLGIIdGLXb72Umm7nOzF6EFVgdlLn2B2SWwRlN6P4HEjm91czibwH46wB+tdn2lwH8H8z814joL+vf/xGAfx3A1/Xfvwrgb+jrm5XZU9YSlpI4gGkuBnWdSPz33Qysc8MgdAR9BVDyHwCAj1fy/d0oT83jpdwo5jmqAw9CqCCcd6CjFWi1avQwCHR6UtpKvAYApIencLtxJqjDQ0A6EvAvXOyQl5pUtt4jPjwCmNF9X8QJ8tEAt94L4KkO4ABA51fgxQAaetBGB1ILhw4d0smqnKM/uxLAbT+BTyWDiS7Wel4SYSnRF42KTF86hTPB3mygL4kehV70cRUQtjKYmz4HMYPGDL8Z680bvDzpMiM+PCoeFUkT6HC6KArl2URwhg60n8rSIq16uM0IAjB+INGu1DvlRwj6b1P7/T2P/jJfV8rCAn4nOSOW20HJYf9ogTwQVgpO5ntLcO9EVi/QLLcFjoTdqsrn5obeAzj7eo+jT305j9wRuqseuweyzUKjlIHJdC/MCG4vn+8eyPZ7QAmdFgUvT9g/XiIuHZaf1D47/5kVNh86rD5tEskWhH7NRZnLhG5SB4T9At26KoxTAtJ3b09xf+Vgwcz/gIh+6mDzLwH4RX3/PwL4PyGDxS8B+FWWu/YfEdF9IvoSM3//1i26TWmzR2feDk2Ic5SLmW2GclDKEzAlQdQ1lHrNeu9gLYgpgsexak9OEdjt69Pe1p67UZ6oKdcIy46bTNFYnxgxiRp4q/k4Nut+5tlsglKS9ppxkD3dmWfGv9hJIhlPE2ijoV4b+KKY0RRLQdOzuKohTuMbENHs6Rs0FEmxfp8SK9qfatTDiGnM8NupwQ00dLqLdcBrOCfWbwDgcgbtRvA4IVwpJ6Nzwp9gFmWr5icK6yhqX42KGKmehW+4C4gZ3VVESlWUJ2xGNV3OMzo9IDiNGzu4jV4nmiyH3R6LZxn9uQ4iSo03OwVAcQgdNC07NfVU8lv8nsGkFhQWOvVuFmHp93uErUe42JU+WzxPyIEwnOfKNdkSwibXRLJggxMhbCVcHLY1+c9yaW5T3jQa8kEzAHwC4AN9/xUAHzX7fazb7spduSs/4uULA5zMzEQ32dG+vBDRLwP4ZQBYYHUdxXvZutb7StoJXtawIVSNR0CeqC6WVwAFGQZQDIGLGtSil5mITfc3O9WvdKCkY6omkFHf12XIOAKLoTqR6VMzr3q4nVrJNbJ6adUDJGx0WwI4yHQbzOiuhDSVFx1clu845iqrtx+FF+Bc6TJqliH5aFG7aYqyDCESO75mXyj5ydpgs7J4MjR+JlwSybhzZV2eVkHSxKdcksIoM9zoJRJhj6AGTEyrrswoki6/ch/KBcgHyxA7Vl71MlvabDGdqIFxr6SszDNNjPHUi0qWI3CpWDM5JzH66S61acFhOgmIS4fuQhPblt2rlyGmvWnLkPMB28dOkt0AsJdZQ+4I+3s6W9i7mkimy5DUyzLBTeIrsrsv2/uLAD/KksmUwGUZ6BCXDjTm0me7h141M3zJcE0D0C2oLkO6uuwJO0K3drNlSKsH8qrypjOLT4noSwCgr5/p9t8H8LVmv6/qtmuFmX+Fmf8YM/+xjobXOjhZlOIHFRU4RPBtW/v6FssL0W538N4Q8rfcporQH3xgbE5q/m6+c7jf4T7X6nrdQvJvpjbe/F3bhYMIQxMhsbZRWx+9NOLwqjKPxtR2lPevqJqbttS/abbthaU551vt/wXKm84sfg3Avwfgr+nr/9Js/0tE9HcgwOb5rfAK1v9atp8CmOniAgCqnWEXwDFWejURzAc1Pan2hP7xI7m3VsuaZzAMmnBWn/aYJmACcLSsa2wA+dlz0G4nuThmXzgtQasV+GRVlbJiQr53BDdOgrbr8WMvIi4zhlznSwp2OGckfUqFcQKHFQACPnsq7R96sUY8PQZdXAGnSmV/dgbqO8T3TuBND8NyCBp7RAAYWFS1aDsh3peZRWey/CqsayCrX58ALHaEXfEeqYKxqXMlLyJ3DljHG27QAwp3W04XJRIhTFDG/tFQZxSmlLXw8Pu+6GRMxwHdVUA3RaS+Cva6iYu6t5XxWAV7m8KOEJcEOhdx4dV3q3H0eK8XurXiEJuvnRSlrNQTwq5qdeSOMC0JizNT9HJyvttTjPeA6UKf4Kru7ZIrloR5jTLTKcK8Qf7155CU+uJeJpTsw3L5jRXiCgAW6FdS2f7UYX+fxa7Qzum0UQkDSop6GoBtR+jPgFEyKCRFvQqrvbLcJnT6tyFg5mMi+hjAX4EMEn+XiP48gO8C+NO6+69Dwqa/Awmd/rnbN2VeDinaM+BxrA7npO/FUrCJYxtl+AV0VrugLcxKm90sLJm1TgCzY2EY1ERYlyExSrQhxllIsABRLWU4ZwSzJ9zsqm7Edo9wNlfacpudAJPbfXm1drntHv6qF8tFQAZLHahCyzfZqyXjOMGvfdnGjjSpKl2bWvZnY7U6NLqxJ/h9V5PRGEWtybQVrO6WjtyWFphrlx5+recQ9OYbs5oXVeEXp9aSxRdVlwrXRI6oR39xPWyeOifAZ+8qoAqgP1vItrVs6y8XYl8YGWnhSo4FZdW32LpqX7jzAv5OGUd/wFg+MTBSBii/TSANeYRtLtP9uKCyX/aEfp3h94y41AeHUrIPy/LZgLgh9BexJLgdfZZA7LD6rF7j3VoTy7TYIJR6Uf5ePGcETQmQRLNrh3phuU005M+84KM/fsO+DOAv3v7wd+Wu3JUflfIjw+CcOZTd5EJ2iF+Qq9hGu29iSRJqdDUBFNOdWdLXTSxRSwyz/ZwTsNEd1kcCjrYzosYEiL2bG/+Eg+mzGRe1r6UeJ8uIg7ayp2pi1LQNTf1tvdwkd5FzQM5qYmMBXnta+sb8R5YhppmZm3a7qIDwDev/3JgizZYeppDVSbty5xRW0H2C9rer/WVGQBRzDdNi7gsyO7aaA+XgZr+vmQqhOZfciYFR7kUjE1AgsHPIPVXPk14zgoMTgV4DEoOYGVFyxTiIchXfNd4DewVDx/rkB6Q+Ttf7z0DT3GTcpo6QFlVv1PbzY/u9ul18UriI+FLGdVzqJeVHZrAA8PqAphOOAJcbWS6yL1QOBpmShg3IjXmTW9rbKC2IaGY+B+CnuVeRc/OL4oZ9W3e0H2ZpwdIK9BEsxME2OP9QgGY5HhGKjWApBXysYCnTzYPTWyktcPqGwP6hreLrlnd2sJg5kB2WVlez1dps1+vegQ/XY1oZm4GPfh9A0aQsTEmts7xv9w2+PpGJ5Olonql2DHUMa4emViPTdWGmi2nbu6Y9Re/TXqEh4eBnDl8U9abqxNmsmOas6xO5kIiCrwCnAqDaKQBQNCgBVB3M4AowC4hOp9tLe9vtgOpRhOuX1cxBTc87LnwRpZWZhTyxHRVCuWh/xgw4KrqX1kY3UUlFB4Bp5eB38/bI/gQ3itvY0AjfmgNZr9vy4JAGCbumjoriNjMVO0KzQ0iLOgCPJ4T+wmZNNRw5Huv3HcEkY1uA0/LD8p4wraxN4UaRt7gQoDZdib4nIJqj4ykwnjUg7wmhvehsFpEGQlyqi5mGTl2qbbhNeWcHi2saFK1DWaPDYEpYdKBbwczylG+fSN4DOQpt27gJVucUZwpYVmepS49V8iTaei3C0swszDFspgjeKllNcaZeZdsLmKrqWxRVvVzrySnBRZXVb5zXyTkg5up4Zu3SMnNc96qV0ChuIwh3xe/SLH8CqCpWtj1sfXk/+4l2er7x+mczBzU9b7/va0amzigc8SyPxI+50M5blSpzpG8ZiN3GCQ398NjZFbexlglbHMh0m5tYVMEig7pWBlDrYbE7kD906eEI/SWj2+igFwjsGWGT0V9ZhIObDGP5ui1DuiuxKrABwO/qddEWv2fhjIxcft/uitFfCL27nixmfyfDwEdZ0oUtysDllDJ/2/LODhbXyiy5ia+/PxxcLNnskK5tr21yD/RmOhwEbqxTBwZbV7ImKtl2LWLnl+fRmJSK1YB8pvWnXC0IyvdzjeYcRnU0WmCJVdLODGSSSELZzxLRmkHhMEmsaFU2tG0bsAr9PMFFVwePKTcDSX2yUxKFq2uU+bY/rF1Wj/WHLj2ctqWk6kdte6Ph6WIu0RBqpp5+z5XO3RQmqH1hntko2jY055W9CNfI+dY+cXDgjBLSZSMzZZHGM/k6yjIwuDHDj0bK4mLmYxNHi4b4iYvsnpxvntH+y7lNMmC6VPvBTwy/43JsQKTz2r/rmoPhRrE69BrZbu0KblPuxG/uyl25K7cq7+zM4qWYRRdA4zh/34UZZjGzHbTCzVPPaM6jUn0XvUxRW8zC3o8Huovmx2H7ecU3iITkBaUp5zyb9vJiQDpWu8BdX60D92PZbpgFL3pgo7jGWPEN8l6yS5cdvCWQSUOETr5sfEN26olChDxUrASQCAcBFbNQMeJ41HzfyF6KWTjFacbTDr32bYtZuOBEM/OGmUWy/tC+AYRwVbQ0gwDFaVAnLl1exJVHYIbPXNpWMYs8wyx2D2r25ezYym1IC49uUVlI8SggLTyCShnGpUdcOriokQclgYnJDyEOrjyJ41Io3P1zYPeIEBQrMcyiGwjbh3LcbuNfiFnkXuwKDbNYHffA7vozfDx24hK/dwjrpOcrFom+2X88JaSuWYa0mMUK8HvCeFoxix8L+8IbdTONhDM1Go36nqZ44JLe4A029W7CZrYuLG5ju1EIVDpNzY14b3sspCzfDXVaX9S2m+I2Y62zKf7Kl+NZhijtJ/irufiu241C9DLCl7Y3pwS3n2ZZnIiaObtXkpOtj8eo0/dURGkLKUt1K9xBFCSs4zVSFnmCi5WU1Tsq+1hOhNVN++lGPZHSH0A5ZncVSrsklOx0eVWXTYFZ8JycS3q4uaEdkrI4EPrLG0hZOyFl+SlXoWY71ymX9PywWenSRIR0C/7BgJsIbs+lDRQlfO1ixuIpYzi/TspidwMpa3czKSvoDe+vxhtJWf3lEn5P6K5S+V0WzzNycMU6UfrmRaQsxjgShnMuloWU8aNrX2iuWKz07VlRgVs3DMj7fdGmyAB4impXMV/Xw5GAbXazLxblbz4XGnlhG5olorXB6tT3diwfl8LatP3GCbTZgfejhGp7eXLxk+dzZXEA6AL8WqjjvNsDSiPn7Q5eB61krNGzC1Hi1pT4ViCWzy/g2pmTKoHTfoTbVPNesz2klOFshrPZKv9EAWMD07oAEKH7+GmZHRVbAyIRSNY2uvO+CA2hjXzECN5sK2jcFNK2WxsAoDNxXPt9jRdDVAFOE9hhlrYBAsbeYG8Zni1mg4EV0/RA8OCzi/pzaP/whWSX9X0nM63ECMd9BXFjrjKHet5dF8CdJDE+/NYl3IWqpts5TBHDZ2qWPaUSmraZHOuMlNT2oKQPfH52oyzkqg/SBuYinHzy2xus/mBAOK+s1NyH2WBTOC3eY/fhCsPzPXITAWuVwF9V3qnBghsU3S0WM6DMbup0cYHw4QfgnXQQLZfIV2u4o1XZxor482YPWjWhsidPa/0/+zPyerURMtD9Y0DtAgHAfy+ATo7kZlX5fDpaAfsRfHpclyhPz8BHyyqpr4NQ/KPfgF9PM0XqvOgwnfaCoD/dSqYphAq9/dIxwIzVb0m98SsP4c+3yIse7moLXsmF55+cI73/QGThVQSlDCTLHtPDZTle/9laQrzbEfGR5JYY3RxdkHNbShvoO5Lvt/7Xfq6oUruUlecgywOLPIwnHt1VgotcLAXBEl3on+5mAKmI32SMHxwXPYrppC9h0kLh9nWp4Hf16RmPAsI6ovv4KS7/6Jdln6ERv2mu4O0jh8VzVvEb2UYs77s1I/WE448f6I/B2Hx5gbgknH5Hto2nXck7OZTUZ0+Yjh16nUGkhRzg5Ntn+M6feoTjj05kvyAEqP6SsX1PoyEbVSLP4nIOSBYoExC2EBd1zdd4/E9PJaKlCuF27O17AdMR4eR7sfTZH/zxh1j/RMbRR0dl+RVXQH+JmnVqy5BeZhH9RajLkAhM3749bHkHcN6Vu3JXblXeqZnFrLS8CmDOjPS+/m2kLKLKcSCugKO9HtRRSFXeq16DLyChHF8YfOQbVqbqZkCnoADEkLlriEh6rDz4onRkQzJ3vhCLuPNIg65TO480KNnGVUqzd04p0b5pl1CkuXe1DXZOfZg5gXMn3xMvjWZGoZ+Rfsf6ARC9BdPv4En6IQcSEpISkuJCgDb2XBKjRLnaFTq0bKyamal3onAFpV+TEpv6SvwCFLzkCq6avwZC7a9JM0NdghojGxhKiFtcn1l4eYrGoZK4KIlpcFxUIDMtnJguByNW1XPJQY7r95YdS6Uf4zEXnYrcSSani9AsUfmF2ANgYDrW+noubFV2QFzVvg3sZH9bupAQsuKKZn0WV0A6SSUJDQCmE+VskBzPZhZ5UBf5SKUNbvoxIWVdKzeGRTDnUbSlcCIqweeayK++UoYAlTkDJnTT4gHtd4rEf8OzyHlWH4DioSniqTUmX2LouSHEsABqbRTBiEkm8jKrn1kBvgPuRK68hbI9k27ng30JrcWA9Y3chA0ZiVnG4Sa+bw7mlOW9fB/Fp5PatpJMv0XAtjk3Ej6Atcto+Hacsj3Vc608C21D4nnqzyRtZ6b6s7G1TdzU27ZRqm2W7zNcMNCPr/EVXKwcBmd3Ts5y3EIOkxuVovwD9H2GkqrQ7Cdgo9RbIxRi/iP9BgDkRNrfTfM+cxGg0clvoIf3I0kmqQ4WJV3dkfJBUHkW6fV4Fj86g0VbbvIFuaadOb8JDss14oveGKUeA9rsPYCinZFyTRxLur4+APWKujNX7xNilotZ15OtP6vdfFXTo3lv7UOzrR14jAUZczUEtjaQEsPywb4KGFeyll2ABwbGjmqEgJt62dpsNx9K35UEuSYhRcx7m4FS6y1q1+ZBOpG8P/DRaAdXGygOSUUWxdDOK+2y/ShhJssvDMamjUm8U2VAoNk14iAkqDpgUf3ORM1goT6penPLOcgTnDLgLVgj8W4ZBJp9i5mxXiO2yU+MPGHWZ24CaJI6ym8z6fGcHK/MHKgONmVgirgx1Pyi8k4PFkR0IxtwljXqnNzM3jfIeLNMeUFiV8lWLFmYBIYvSLEnknyMmMrAwN7JdH2WMaq6Bt4f1N/YFjaZrUVANbgGqdZsx4SSA2L5HOxI0H9Tera8lEb9mbIr52Qq2aUOy061vmkyPym7JuvUptHNVJ1ykdVLfQU4cyDkgYCxyrbJ0kGTrw7CsUQCGOZZhil0X5r9HrlzOjA1OSO6n4GZqSMZy7MK31peS0+yDPCosno6UFhuh/W/IydZm0NdArG3Y6iATdOXuSOkrva5tYU9IS24ZHdy0Dp1OQIAOdbBomSBLnSmxSLcm4d6HMq1ne2xsx3fMlgHIC+zAL42Dg+yvLKZhamIp6Z+2yZ+Nbh1eacHi5eWw0GknW28aMlyw/fl6SmbqFHKAnCdEn4T9+MlhRgab22PC31q8Gy/kn/Q0rqzfvlwKZQZN2Yb/YAL6VOOoe1tmmHGbSWJ156IqLM2i4aIAlnz9JtX9Qbt4vl7Pvy8XgJt+9p+nv39RRrT1KVv533S7HPtb9ywDODrM6YXXXfU1llexRrBZq8/yHIXDbkrd+Wu3Kq8uzOLQ/0Cm+ZHpWTv67Qc5IChrwrbAGjogf2+vAKYkYXM6ZsmySSNJz3cmEs0IRSBGF+jDcGD0COdLJB72a+/2iGeLtBfKe9DoyL7Bx2YSCIiei7xKGD3yJKLOuzvKwV7zNg+lCjAcbOvX3tVxY5FEdsDSKsO00lAb5CKRl3icY/te5VR6XfSzuAd9g/7er4Aci/Rmqg086GT181jh0H1JN2kaeMdKdVYHlW7h04FXiRNWjoH6AZC2HRF9q38hOyK0jUgKtxMmsJNclzTipxWDt3G1WM98JIt+WyB7SOLAlABFU1MBgA2XxFV7sNoSA5Af0ZIS2D51ABsYPvYYToGjj6Rtq0/8Fq3LJvCpj6acweM9wlJf3ejba++vwB+eo3N3gyQGLkXmbztVzVL98IjdzIDyqdKbFskkGOM5z38lUd6KKDF/uMOuZPZruEi7ID1VwjTKcNvfemz9U8k/Atf/wTfmb5U2kkPRkxPhroMWSlnZhWxnzzGJx3iY3OCJ+TF7acf7+5gcW2Z0fzdmBXLe83BaLJKeVKdzqnqdbZ1+M2c/uzXk5rRaLgvZ8ErYpMOHxMwTvDrEW40K4AJ4WoUm0PUAak/jwhXo9TXCBEPQdaTfhPR6/rX7yIW50mmkrqcChsx7PG7CBqb1PaU4TcTiFmOizoAEAOLvk4Ww5WY5rjNiF7l7v1aKdej6GGUqaoS4hbPM7q1RUYEjA1BhHD9aHNnoL+U9HCXKhswbIWaXTJJYy6krP6y0rVtPe5HVzQzDTfwO4+wTTV7lIH+cgLtRiyey/HjFpp9WdfkgOAFwzOer8UZgJKy4pbgt9q2zBiee7iRCglt+YwQNwJW5kAIu2awCCLpb9TquKHSx/mjezj6XPfrCLkndBcM1pBJ2BhGBEyXamcwiO7bck3we2Ac5USGC0mDF1KWAcbA6lPCtCYsn6XSZ8s/WOJ3hw+w/NSX33FaL9CfN1YAGm5OQ0A3EYYzYL/VnKQJoPH2oMW7O1i8TBnpmkqUgZS3X1VxAzoWQM5XUJKcA3dB8k5CKPvetmuZdH+u0QF4UmBPwUcLbCgwSRnFt6QAnCQyd6WOLsyk5H7gpVFSErUoBSKp3uTsKgBnCVLEBA5q9KtPX2d9zFpP8/03UWuy2QI7qRNgZN/gBc76trbVokz2mXEqzCIwh7ks3ZsU9k2KOWmfEOoiX49NDaDB9uQPNXoByN+UGutCvDjZix2AkAXMtbGVUBTHGLXeHwTg8O4OFoekrMNSrApdDXP610D9SicK6QlOPK6LToGXqANNDbofXqd+KhELu5Ds5gNBBqYmEiAXB5djsCOhnjtS5WvdtwtzndAfcGGLUgAAs3puanvsQncoHqMlumCy/K5RrzIwV0OwZinIoQ7Wr9W22WABAKJqVaLk2rcyAEDbRSA1GOJGch9weh6Y3ZhvUtgGB2ub9Zez/tKHhN3IkAFGBgXtY3tweILzGjWxifILBjN2gAv52mAFQlkmzganL1juAM67clfuyq3KuzuzuIl4Nfvc5p48Z2vatlfWj+b7uo5lzJWjDolarxM6bdvUEK1sSozchBKzsT3rMYjNRIdxqG5lT+q3UQ7DccTCiCxMV9tuDNUZKQtoFa1IM38p8TwsbfW+5jm0oddyvHx9O2WGMyWzJoTaEuGsv19XLerGdrXfb8OxXH/3a+HZg8+sJwpzN1ETTn/BcRnCDmaa/Tbzf3WW+EXLuztYNDqb1wpz1XlU0RZxGjdNiAzXdUqCpJvD6IaWxwTOCsRxrmIs4wTa7eVzy3ANvsjwl1wNr+8PlgYcXLlwKavWQe/KlJJS1cp0o4CbTCgmOBRP4NZ75HtLASKNebnZgaYjxGUPfyC2mztXogoARMC3c6DgkHRpULw6O+Fv2JLBGdGnA2b2l2WKT5KjARns/CTovmsuZLnQgXC5n7VLBuAFaGqBUxWgbfJFABGqoVzFcNOCkHaidVGWIZpncXij5yC/K2WAGqp26mtkw4RjiBlMnYC0Khqc7nvJDYlCymp5ChYRSmrQ0+aGcF9l8yyblIPmfwDgvS6LGEgL+20Y2XOJOFVdTMCPqsupl7gfGesPA6aVRI1SsSNguM5GFD3+gpG3hscJkAoooBoYbnSIRwZAz93LXlXe3cHiELOYaVWkykgsF2TVoiBA0t2Zy+thHbRP5fuUIWKzORdQbkb3NiyECNjtQdux0qT3I9xmrPoObBdlhBslMmBWBDRmdFdJnLemXMVVckbYZnkSmIp3ku85i3TojYbgQVlEWJza7lmKugfQN4lkbjOCggNtR4S1hk63GkGJEkEqe2sdw0WG31qKutzULpHmUci59VcZbpzbB5JqI7gpVVaohqXh5LNClZ7ksUfnVUyGVRTGjfMUdetL2k9F1MVFm9noel537c9E+IUdCpOVWFLEu22usw0AyBCRXXJwOhD35wl+/+IUdT/VFHVLKHObEf2TEwxnNmDLDd2f17Bu0OQ2yqJUJftpRGgvKep2t/tRokxGs7djL59mhB2hP0+lzxbPBlwdL9BfoPQBTW6eor6px3MT0F9wsXic0cxvUd6dwaIRPAEg023vkVUnYkanbunEJn/XdVVMhhk0vDzrtNCnzZciOHCsITyXmvBsu/y4bdZp7+D2h3RvKn6dObjyNGXvhLJrQi/6HXn6kTI27dGhgNjbyjpd1KxTxApwpoGKqlIaCH4iUKRyQ1AGKLrrv6OeSw4Eb5RyjQql4TWzTvVYcSDNDzG6t7ZrCcQtFZARqLMDlwjjCWHVDG45EFKPAry+cdbpUS6ZnzJYSMJYzTpFoXvbNnviC5Ve6d+QGYbTKI2zZ1zAzVmnSyCfRMRlXwaLeCxLsGt6FoPlsPyoZ51aejnXmQT1PXgc4d97BABIn1fhGqRUFZqYi0ANPRIRExon5LNzUWa6WheFppaU5S+3pS4C4M7FMJcmhdHvnyKfrOAuN6Bj+YW574Cnz4FpKtJwvN7ApQRey/ftWP2naxGByTXCQbuosnfy1PVbHdZzxvLTnRgV37ccZkY8XcDFjLwaRCIPAB8vQSmj/94zQAdSU1byXYfl+aL24eVaojrThF6XN2by7JwD5wzfyflmFfg5/u6m4hCJq2NYqPklg/pUuH1Cd6WDTaMgno46/VyiOG4X0V1MZQDoLuU3X313U5ZdFuEZVJTHll3dogftRvDZRRGuyZ0rA2kOdb2+fOrgtxm5Xe5lLkuPlaMavs2ExfOEsHfwOss8+faVDMBq61BkCyEDPQ9dmc0VZatPn+Hxb5xi+blud4S0dOiED2SJAAAgAElEQVQuIo4+M9KdgBLmoQpomv8kg3HYZmyVrNdtcsEojP+Re4dH/2SNPHh0T2qfPXrwARZPOyyeN1nPRAjbJINN5JlTWn8REbYRUXVaKTN+/+r2WMZdNOSu3JW7cqvybswsbigvBDftM5slOPHspDZq8TJ+Rq1EXjMDSAWgLJJwWYRuZ0uD29SrhSwSkjNgugZe2DmcJQ2b7ekXzQekPp0pVTapzFC04imC4tv72dqIEOUMjpCZUEJB1plcmUnM3M6j6GOQAoY0JRCR9GNy1TMlOMzQw9sWi2Ro+j+B4cjVSEPWdkwZ9hws+hqaIm/aIm6SGYhgL18sHNLiOSCL/swjL5ZybhEhV3xULaqkX4+s2b2uyOq99LiG39jl7BV4jjyLwrxuEuRN5Z0dLGYepcDMGoD6XgRvAaDvxGGs72drZVou5ILS1/JlLflUlha03sma+t4KSFyUnvwUBc8Ivqh8w3vQagk+PS5MS2IGP7xXLgLSKM34/pFoTsZc5m95CBjvaS7G8z3iSqbr3cUeu/eXIGasfk+WJvGkR3cxIq0C/NVYRFrDbo901COt+msanPmaBqewPWk7YjINzqeGWch0P5sGp4rWXn11VTU4LSVdoyxm3TeeevSXSdfglYAVthlhG4s4i7XZMWP/aIHuSto5nQSAgPFej/5Mlk2v1OCMCZsvy75pEMDVJValLGnC9rHD8NxX8hs0vEgduo0obC+e16n9+sNOoj9b+R32D4ZbaHBqG0yDc0p4/vOE6Uhp3AFC97702BUNThSm6dRocILks7D12L5v4G+AHxWkDWpv6YH1lzvV4Aylz55/I2D9tYyjj6oFQjzSZZ6WmpoO+L2/psEZf+P24et3ZLBgvDCtfKs3xAycbBzEvVd38jB37XqVrJ6Bg10AnEPuJcqQLZEsZfETHV1lVXZBgMxbAJypd6DBy1O06A945EH9MRahXHBu6hBXAnAWvYTOIQ2+6EMUinffIQ/S1rcBcIq8n+IxCnAKEEggDQVOKwLIw4+M8dhmZAx2Dn4va3YAYvXngOw65IGQkkn3SbiQEl4L4DTpOgFhAcqiHWFP5ekYcCPNGJwid88Aiat5sCjGyEgdMJ1SER3Ogd4I4BzvZ0zPtI5OwqOUCeOJgZZUoiHxmPW8GMhUHNjjEZd6ZaCoDNDc3QxwTscAHu2xv1yUATMuAXA9XgFOeyBvfxwAzhsKJ/X4tLyMZgnA6y2g3AXaGKi4ASlYxzGCt7uXApzhqQ6/UwS8Q9B9vBkJTRHucieq3er94QDw1RUoxtquq6uyHagA5+L3r2RGYh6oAELw6M71abud0NmNOkYcqbWehTaHzzc1QWxKcGudtm526D53wgEx2XudzfirHst1nVnQxVqWV/sRnYZ26UqBXJX291f6RFSA8+T3muMmHbzUSNko2qveyXR5TFgsKlhGk/iTcHNeIAJNCasxlXq7iwAmgt+MMrMDSni670LxeQWAsBhAuz344rKocOfelWl1DnUZcvSJR9ikKhIDHSzGDJcysq9gJqWMsO0QVx7LT7alvdyHCnC2kvrBIQ+hJOLZObon53jvm/ew+sz8TyTK012lks3qJgM4q+GRRHSUl7JP2GlW7vHvj3BJ6Onm7cqd9HcanFwX2meP/0mP9WcLLJ/WJXgOhG6bJPSauYgTsRfgM6wT4pGF54GPN7dfntwBnHflrtyVW5V3Y2bB+l+Tys2qQZEuxIej+ohI5hCX5QnJU4j6mS+If/wIvNsVXxEAcN4JT4G5Yg7bnQCQxyuZZRhP4tlz0G4nGJGGG2m1BN2/Bz5a1tCZd0iPT+H1e051IeLJgHDBwFRHfQ4O8VQWkf2ualSEzV5tAD38bz+RevoviSfJ6THo4kq8SgDwszNQ32H68J6EYVFB2daXBAD6px1yH+A3I+J9Wed2T3qZIQQJDZqVoJn5bB8M6C6t3koKMiwBAMaTDv3ZiDRUxW1AXRzPNnDPr679xPneEsHCjnrem6+doL+UduUgrM08ONWJ1FTwpUfYrND3HcZT+Z7hCmXmo2X9gcfy2fU1eLrv0Z8npIXDybdr2/YPBgm96gxi/VMniAuR9YsLQrc1rEuWIWkgDGdqdbiS9h73HldfIZBSMLNK86WesHlfZ5RrLjJ/rX1hDkB/LkSteKTXz/cYbpdmT3FKCc9/boW4JBzdCwgbuRauPvRYf9V0ROX74ymhv6h9YIzeNEibF08DxhOtNwPp//6RwyxuKIfamc4JOs88xyFm2ETznRAKllHwDXIA0szH1PgaZQ1vFOo2i7U5Fqssv4nfOO8r3dvcqIBCmmp/ihZTEJpwxREK1uDr54aPGBGsfN6F61YDRMi9Wg0Yf6sP0o5Y6w+W9t45kH5Hqq3EJHP/br1ODUsAZP0ctopxNF6nxCjmRYelJZFVUhGVY+XOvE4J3nFhYMalRF7ERqHiBaLCXXU5AbUC2Fy/+M26IC4aqwdUEpYtKeLCYVoR/KS4iM3QWdqXBhT247QUXCANB1YAindQrmAmmMpg0QKcHEQgmD2V7UnxqGvnsBKv0riomFI8AuJprkZPUNwm1j6ICztXIB5l+L3DdGpg/I8JZnET4MltuPPwfT4ASdvQpXV+2zFFAp/r39ck/vlgHwlzcc6gVPdrlbyrWjVjJrWvx6hq2nN5/rKd6+czm4FWsl9l8akJJTJhJtcv2zMQ6fqxiIBkIdmG3MZcntjlHAAQ8dwKINZZx/x4N5yzfdZYF8yk7Msx5B8HDR+WPBJVzk5Vmt/k+k2F24qbGFVluxZT7HYBs7YdbnOR4SdUeX4b8wwP8FXF26sGhUsZbk/1nFj2n6t7azIe6jbKQE50TXFbwtE3nMNkDEzUfpgAt6MZZdvv5xRu16h7507sAIxyTgk1JH+L8u4OFoczC+/rzOJQpr94ZDbfcQ7oO/nXziJGyCzAwrKlHie/dLu9tQDQY/FyKFEGQFidaRXgvRexG1PaClTrbNpUohrOVe2MdntraGSepPZqnzuhipszOgUVchk8ck91ZrEMiAuP4Kg8lbnzxYTYEZXoD68WgLqFF9Vx41V4Kv8AqAN4/cyKKE83fduU0h/2HjJVt3blXlXEOwJ1DBeNPi2Rj3Dcz9iIULGMdmYhCuLXZxY5NJ81bTvcFhcaDYnA/l4Nv7pISJ0MZAYYimGRWB5KklZzrEDIgUtEJnd1ZlG3ycxCzq9R3A4OHK7fwWkhM5u4qHohuYMkjjVqYaYsXs+xbp8eCOM2Lo3/gddCLd/dweJwZtESotq8DXt/aKacs0QJ4oHDOWcgoU6VzUV9SkJ4st1a4ld7rHGSJ7ORaKYItxX0nuyYAGjMpU4rNDZo/JQKeQlTLNvtmDQlqWuK9dU+nyL8NsHtzdFbJPvBgG9k9dw+IWSR7Svy/lOS/RWzcHtf2kApSzLYvkZDAOEzeELZHra+vG91Y9xez/fAOX7WH/oeAMIuFy4DJVIpOZrNYnLvRGZvFxveQ8UsWrn+sOGZFF45NkO/O6dwl22KWXRb1rAtij+qnb/TgSVYG8ghj0LJDldBEgFhmAWj2zK6tfEs6mBiI7kNKmEN0RvVB5LfN9dFU8JasIluW2dYYQ2ECzfXCg1z7VCbAbsI5M4jrFGT/zS/5rblLhpyV+7KXblVeXdnFjeUl1HArxXDKlrMggxTeI3h9KBQEgyhtIQbi0H3mm38ouXQik/9OUwLghKDvPRBAc0yZGmU5X2hlMc0J7X9EAopPVvaaqdC6h5mU2XhIhhV/K0Wtn/qTFaEkCrxayYA1LTzbZeZsM/0Zsd0jY3im5QfqcGiOJS12MSLnMdMm9NeAXm1O6llgALVoaudVx/WSU5Ttmme4h5czS1p8Q1fkWsAM8ew1lkKvnESc/Vzcz+Dvdrn3s0xAIciNmzp31ZHYYDORIO1/dxiJVSc1ooeBRv+4opTGGBrcFs3N8ueyIoH3RCOaxzUivlz6/ClLmWGSzhUzMJNpOdXp/AAwaHuL/sCN4nbmpNYi7VY/+SAei6h1pc6wJXM1RrqrLhJ7d/coSE/aZi1o+I+5sYWp8Fsv9xj5lSWPRUhorbkzs6PQIZ79EDuefYbyH5N6LSv21Nv35FtYud4vb9eVN7dweLwRjVwEwD5yia09zO3c0Au/sYaQEoqPAsYy9Co3EMnN75ttzqB+bEAVaDSkCN0DWiaFanyA9zYVXAUQB5CYc/1Q4e41Dr6ur0MXkMnVoV9AOmrtMGXEKxT3oMrPI5KtYa2q+RcmHZGaF6Zq/hvTEDOmI5d4Qw4lYnPvZMcED2V8djB780/o+1zCCt1un5Zlf7Q94DSp7cV4JR2qo6HPsHj4OD2Eg2ZjmvY0kVR60rNjTHer3Ts+bFFuGZaSpq5lelYthlQnAa1HvQCSM4sBIN4pPiRSp0mRrx/lNGfW78qeOmA8X79XUwJazqxbQpMOge/I0xKAy/XwUGZjoSmPTyvuMl4H8jvj9g/r7IE44MMbu6DpGBmWoifyXTsMd2zRD9qsJRXl3drsGhy8g8BTmYWXsA4zdSv5opYTeLPJPvRNDXb6veMVm0KV24zakZnLsdjk+5rjkX7SRSoDCibolCAo6p3qbRfUbJqAM5WycptxiJxR9sR/UUs9ZX27Edpp73q57Qd0V1O8JtG9UpL39gE+M0EN2XQdkJ3qRTffRKkKgvY6bwddwIzoz9P10lZOyoKVoAMQp16VxT/FEASwLYjaH9dfqlV9rLzXpy5cizuVPtiFN8MC51SNqWscaZSdRMpK/W++Hq0JW2pqmBtqhFVf76A37tC4R7OBvhRZlCpqzelKXL5kTBcqHbIJDJ/YT1h+ckCy6ctwAn0ay4Dc0vK6ky5KlBDymIE3d5fxPIQaMviaY+wBRZnCd2VfL74LCD1A5ZP6rpCvFjq35WUJTOd4Tng3lAp6w7gvCt35a7cqrxbM4u2HCxDqJnO34bBSea0blmpQA2FfgEGJ5TBacsCeCfvg599520zONPg4UbLdE2iGtVXliMA5F7a6mKufIrOCxCrr8bgNB7LD5fB6eB3Wk8vy5y0kFdb48elA0WHrgtvn8G5kmWJn4RHUa4npXvbcgaQzFvW/vvhMDhlKWJ0dOD1GZxpYPiJSuYrJfyYCPbeVG4g+7x0X+9nACd5L5mnr1PPQWEbFBoyVw5O8k6MQPXDKA1Wa6ClmNW0AJ4Ak9TNAU4OAtSK65r2RfBA/uFONMW1zfpRsCGmOUAnTmZudpO/1fY4FPOhrCsWytpOqjeX7dNKArzVtrl6/NS/2e+Ue55pfbwOexN4xwYLGiRJh6c4SycHMNPk5CbtvKSgX63n3zGdTtXoBAB69EBChDmDnzyXY2lCmktiCWDamknrBDA7ljtagS63MmjocfzlXlK/icD3TwGgaGRyQy9uNTLpco3+XM93s8VS28iaKu4+fSa6ntMkbVTshbdb0JPn6FWBCgBM57PV+AQUk5gCaIzoP9e19tmVgJpEoJThrlSD8/4xaIw4+fZZwXEKG9W7oo0JAP3nA2gjiX5D11xCUwQum9+mKT1QNEPtvN32tFEtd0XTAq6C0/1zmeGwc9I2oOhkHmIWq+8viv9rW8zvlTsP9+mzsv1kSrLtyTkASQpLg4dLGeNpV0SATMVc9DzVm1X35UD40j+MGJ6pHqqTQdvvE06/p56i+1SiZ2VmqTdt2CbQVGd+w0dnVWypKfcX70kbuA6mH3xzh93vdlg+2Zb94jIgbOv3cxO1uvxqwNGnsYgLgxnf31w71AvLOzVYWKYpAPjTU9G0UJCR1SE9ffoZ/M9/He5M9Cj4wSno6Rlw/xT+mfzoyAl8vAKen4NPjoCtnGb+/qel/t0v/mEAohsB57D5yhJu5NKR977ZIb13T0yJz2XQyPePwTFj/+FxybZcffcC2584wcrA2U/EIffTf+tnsXyWi8ktIOj7+kP53slHCbuH8v7ok4RnPxtAGfjq35e2nv2hB1h9f4/9ww6Lz/fYP5Qb7OifP8fVNx5gd99j9bnqWOwVHb8XcPXl+qS797sT0sKhP4+4/KpcuCcfm9qUg99njPfkeKf/+CMAwHf+3E9heK6/gSk2dYLEe70md+8zFp8LDXuUsRHEQHcFnH63Mi3NWJkycPb1Hotnsn37WMDM8R5w9AfG1JR6xhNCf8lwes/vHhEWTxkPv3WJ7/wpEW+Ox6w5FSTiLjZr/+k18kf3xM7PVpAZ4J7RPzlBPMp4/BvSYErA858njPcz3vvmPQDA1Vdkiu72hDwwwlW9PXIH7B9lLD9ZlDYAwJf+YcQv/Bf/L/7eb8r15IaEYTlh+/kKP/kznwEAPn5+ir6PyJnwtQcy4D1erNG5hG+fvYdnl0f46cey73f/t59Ct4a6qOuxPXDxcxH9wx3CbxyXPtv8hTP8pz/76/gvf/tPFGr+Nx59jm999iEcMTITHh3JaPDh0QWOpgH/36fv4esfyDV6NQ7wv3l9cH1ReacGi7ZwjLOkH24IQ7TZlcGDNjvwfi+vsVKiab1FHic4fT2so3+mM4pLkdUbBlnbdzbd3Y8ifjPFIuFH6wCKCd2zgKBPAlpvMTwbQGu5k+xYx59EdOeiaG1Lg7ANICXrL5+M8Oac/XSPk4+dkG5UuXnxZBLZPGaE893s3BdPRvh9h/5M26XUazf20Ge41Ptsj9x5+KsRR7rc6PS8w+BB+6TfqQP18UeM4VJv9snk3cRgx++VZrwVN3HKjOm8ruu7bcbwdCzZsMVBPjGOPvXozzXSE+W8pwvC8omm13cWDXDoNrlSmncew3mCu9ji+CPJrY5LSehykZF6FCxlsz/G0ed1ym4lB2A4kweBqXBTYkxHPaZnvgjXUBY1LooSvTAKNyC8if7claiHYRTDsz3+3m/+YRz9TpXVS8MCx+eEj7YfSp9fOoxBBrVvn8g5/LMhA8TwFwFhC/z2A5F5fO9jligMNb4hDuAQMJ4e4+SjXPrs4289wn82/ZvY/bN75XT/8b176J/5YgXw0VIGx+8u3wdNhP65x299KgJJFAm7Tb1eXlXuoiF35a7clVuVd3Zm8VKgsAUYzXPENYxIruzGF4GZhYxk2aWewLn6Ssh3Zf1pkRi24zYO6AYsHrY3BwUSG69T9krOIRRtS8DeA+q3KNtCc6wbjmdO3QBADSu0JRK1bNOiW+DrMalhRdZ2N2QkzQCXdlNJd86BkL3yXuwKYuEYGJMUQKGeE5ToVNipsj037Sp94S2awHVfr+c9y9wkAAwO1Z4y9eqT0QCRokVR/7X9mI1AZW1QjoTT6Edu+oa9Eq5mLFKpzw1pZl9YjtXbEkuXRRngQWcrfQY5IUrlROC+Rp5YNTsd7LeyOnneZz3jaBix6au6N3rRjrWZhbUBvZC1csd1m0Odlt2ivLuDhROGYZX8p/lnFmJU/1GJejTINOlNTs3NPqtD3wevN4MQjAvSHIKwJ/U9AAkLplxALDtOO1jYsYR0QyB2Zd+SEk1ynHKBDeK2RRmFYZgDIS+CXDydL1EL7jtx8mra0L7mpgtsnxftOz+PmvacCsnRxGMFU7Cc3NyjpHKbcK2ZEefgqhK7aTQoKGc4T+o16hEwG0DsvNlXW0QRrpUB3RzJco8yiKWhXu+5Z+Re+mCGWVBlZxrDlZLsKyHFhu4dCFC3shzabM45nbwd6IflhDQsav8tGXlDZWDIe/VOzQB0UAiLCCLGtHRI2YMWcp2nRQBl2d+bB5VSwznM+ywvMh4uN/h0lQtu45dRwtlKvLM2+EVCIr1ftA1M9INNUSeivwngTwL4jJl/Qbf95wD+fQCf627/CTP/un72HwP485Bsrf+Amf/+7ZvTlJQwF45pRkBL2wZAxuhstiEloJOICsUmstLUYendlnLud1FYg5YYFKN6miawsUDHCUiSGl4G5JQkvVyPYccKm6xId5oNdN3CWH2xPNX9JqK/6gDmIsIbtgluM8I7cfRyRvfejwgbAzYt5Vv/Dg7dpmFU7sX3xO1j9S+1tHaW73mLQKgAcn/F6NcNZkFUNSUUs8jBYbjImghWB4SwY/htrH4XJnaTGN1Vj049Okv+R3KlXcUyUfvOzIq7gWSfKaK/1JTxCFC0tOvyNcSlQ3fBZeYmP4jcZP25gKbdRT3/7tJL2rcyIm3AdhElzdxK6mTg7NeNFoT28fbzFY7P7YEA5A2hvwCi2i50VzorYmBKSi3v5YbuLh3ChrBnwQ76C0mzbwFOdmK/ACb06+pF2z/r8TufPkb/xJfBYhoX6M8auvdGB+iNh5+A7pzATq+lSCKOdMtym5nF3wLw1wH86sH2/5aZ/6t2AxH9iwD+HQB/CMCXAfzvRPQNZk543WKCLzfMLHjogF0Vn0EIInKzbZYhiwG029VXoAKgEF8OAOh2EXDAdNrDjbk8ZXrvpW7vQJq/wF0Ae494MpRQl7sY5LsXEq0gDSXuH2jex77K3E0nHruHot0Yth12DywHI2D7kEBMJSQ7HQeEqw7TSQe3j4hHUm/oAuJxh/39UH08NU9jOu2KDR4AdFe9KE07wv6h3FV+J+3Mg4fbe0yqa9mpMvr2PVfyLbza7qWeMB1VnYTt+7L0oyzRC8CiIYywbkKOjdKYnSsA7O/JNHm8RwXwtYSn8ZjQX1W5ve1DArsOw2cDturDEVc6WEw6y9DDbL8a5UZwKDL6YELuxaQ4rlAsBSkzdu+JXL+pcG/ed5iOtN4ORY/C2jferxRuI1Gdfq/HT/7MZwXM5J7BQ0Z8GuB+WqJo27MB6ATgPHogQPhqGNH5hE+fnWJ71eHosUQtdt+5V8yd28Fi82VGvB/RX3alz+JP7vBvfP238Gvjv1T64NGjKzz57LSsAfsjeficrnaYksflp8c4+UB0SMcxwA23vzVfOQlh5n8A4Nmr9tPySwD+DjPvmfk7AH4HwL9y69bclbtyV97Z8kUwi79ERP8ugG8C+A+Z+TmArwD4R80+H+u2H2ihlAuoRUmzUQ91H6OaEtvrQbFpLuUMZJ2yT7mG3HKWz9J8KURTrEK5gPy9T4VIw9lCfvOEKABwewe/q8c3wxs/ZQTj1Zi93STn5EchH3lLrEpSZ9hWRStrj995hGbq7PYJYPncwoBt292YCt3awsqt2pSfKk+CqS5DwoZE6zFxWcMTS0KUH6t2BiUJG1PKCPuqq+n3mo6+ruFJW86wI+07qaPbeIStqGxVBSiqM4uGvxQuPMIGOrNoliF7Kv1rrmqUWZ3CqFGekqexOZK1ilOWZh7WdcZiffzx81N0l5Y9y8h7QndFMqMA4C+9LEMysIaELXeLHkSMdNHDrx3WnWAej3as/Jaq98m6XAEFhDWXPuPzHt86+xJw0ZWZxTN/BHcRCsA5Km50NnrkySOcB1x2Oi2aCDndHrR409Dp3wDwMwD+CIDvA/ivX7cCIvplIvomEX1zwv7VX3j9A8xfDwpT+b1nIOVs+03fc4r2G/Lv6msLoBptGID0skNB6dmjRFqMoi3RjXn75LVGYtr3OVBtg2pqWt0lgqCoOntXAFfbt3zP2qkgorlnsWtBUJToi4CNzbnM/s3p5vN+Q4lisdP+L3qVtS+yr5GirKndppNZtUClP8u5Foq2RB2yn7fLUsZZI1H2z/azvznYP2re123ZH26TPu77CA4s/xowEh0DHeu+DO4Yrk9wfYIPCV0fASWQuZDhQta+qdeh/BPNjNzzvM9CxlEY67EDw4cE7hjQ41kbfCfHzX1tA/r89qMhzFyokET03wP4X/XP3wfwtWbXr+q2m+r4FQC/AgCn9PB6i2+aLbQlN/qYh7oVtzCBrTLvrP/k/Wx7EqXqQtl+WXtuOka29jWhSH09VOc2BaOiXMUQpWftB/NSnalevYVCB30gBr9CMy6qUExFwaooSDGKCXHR2mSAIP07U8V6U9GrRqWqKFW1yk+2jQ8G/GbfoibO1mbBP75IyZlqG9o2Ndvs7yKCnHXgVcUy224erpwBZ5d41hj2YWFCZFeV5nUbMiyy3PTN7YHMF5U3GiyI6EvM/H39898G8E/1/a8B+J+I6L+BAJxfB/B/vVHLDgDOEv4EBAR089CpbGsAzuBLlqiFWdvMVePoey+odBo069FMc+y7mnBVjgWAe1e+32kGaNdmhUJCikEzKMsxF068KPU4k4bx+kH8KqgRo0mDZEimwSPoKwDAOaRBsiXLOZT6qx+onWPqHfyUqzdn78pnHjVr1M5xOqJCtfbewrzqb2qI+5GCf4xijmMXZhp8yfcog05mTEtCUKC4eJauqLTLwqJxJREJS/iNK0LcSV9Emz0fy7LATxUYBYB8GjFdCqWTZ/2uRj4rlMxVYsZ0JLTtYim4ohnA2f54qRfhGtOjaLNEv/bgrDAzechAnzGlUMDMNZZwfQIz4f59AT2PhxFDiPhefoAx9Hig2+NqAeO3FDFdAqaTjHxvQlwNpc+6+1v8yw++h9++/2GRgnn/wSW+H+sUdaUA5/3VFmPy+HxyeO+BAJy7KeCJv/3IfZvQ6d8G8IsAHhPRxwD+CoBfJKI/Ajmt3wPwFwCAmb9FRH8XwG9BfL7+4htFQu7KXbkr71x55WDBzH/mhs3/w0v2/6sA/uoXaRQAmVW8aNrvqou6pIzfTMqavR6200g1pu/gxY/B5N3EmyOIdH6reRFfTsqyIk7equupH4l2JSlJyFUPicFpCJAkBKz75iHI2rTzlQTUd8idmzE4W2LTNVKWr6+zfQ2POMiwNvYhUKfzsl4GUqqkKHMyT4MdDMXB3GYrLglPgzKrBqTNIqyPUNvl59uu/U3VWyP39ujFLJHMLZJ4eBDAvi6ZuGPtTy5PZadeHWnBol2BSrwSZaxKwLL2ceDyOxSfD0d4vFhLrgcA9BlhEZF6j9UgT/XdohcsIROOddv9xRa9izharpCSK9ufL4T/wB4FeBVd1AzX5VmfDUPEV/rnWCzHMrO4v9ji8/4YzjFyptKG01I+Jf0AACAASURBVGGHzdTDdRmrrmYFux8LBqc5cd1UmA/cyXRfwzFSKqw/e31RoaxQP0GxC7uzM+jQCyTmMjgUMFIBu5npEVCiCGAGFQVdLt9rcYeZd4OlJzNkoCqOZ7rvFOXm87UNdbCY09VZB0FW4HK2rwGSRU/CGvbCrqqYATEoybLJ+kswAMEsfCFlCWZxiFUUxmVDn24HDRn02gFQgdwCSFslDVYAgBxX29xmHZ993cm3ytgEIFcV76xAZE40GxhKW5sBhEMTqXCpnBQ5BhEL4crbEprhvTxkhqBp/i5iFUZxe0PdF4rtFDwG0q/cMbouzfosuIwFaWKcNrV3Ed5nqZeo1LvwExwxQpdw3NeAgnM/DoNFS8gC5hL7qsdZtpNSw5uZBakmBjXaGG0d7sDIxY2S6WgXgaDvMpMoalrOgcYJfhuLqC2miLBtzIT0WN2WxYYv1nRpP3EJx7lYw4MA4Hdclab0c+58UWC2C5o7SWXv18IQBVDNfzpXQniAaiVkwG8j+rXU61XrgLIYBQWjkeuAGP7/9r6kV5LsOu87d4ghM9/8qqrZ3aTYHJo0VwZkQAYECJK9MCDA/gna+kcYXvlfeKOlVt4asABBAqWFDAgwgWYTpMge2HNVvXpjDpFxJy/OnTJfVffrQerXZB6gkPmiIm/cuBFx49xzvvN9C0Cl9K4JmUMhyPKgqSU/YGRZLo8b4DgCOcDpkhJO2RG5LhNk4n1srpDRom4sD6aeh3ws3wg0Cw8abEkvE2UUJ6J0AACMVw36RWLxTp4FIIyAXGPDIyQXU6cVqKu5QpQ6ZM9OLXKXeD8h0EQWhMRGpVZcZi6vIw1CwxBufSPw+JwrPt11Ays14IH3/BEAYNpPQBRwdT2Fmyt83PC+2nBg08vyEgkKaM4ljO8xqcbs7HKCf7z5AZbzNgfR3xKnWF12OcBpIpvafGgxrDXMWY9f4wH3y0qsn0Ou/CK7P5MF0aYn4TnKlcvDK5IVsi7jAsi6siTIBLsRH+FD+dyyTAhrHIIoyt3ZYzAGYm0Yp5FVyyzIsqJXqn8gy/gMiipcCWchR8YciNHnt7dQlB8uYULGLci1g1zzJIBY4i7XEaatBX+uVe6DGD3kmkog0SYMhWfUZRon4yGIQNbniSntS4K350lzAx9SJjQQD2EQgEyBz4H/CRc2lixqHZi0N/UnludT4HPNJe5DiIVk2JgwAa6jkKbsK9e8DzmXMSoJ3Zh1MKLJucxanzXOAsT9dU2N6whQK8mTQlJXW7OnxWTAtNE38oAcyrZ0Tcl4nN9M80TmHcF5CbUkrCKxkFyIXEg2Kl6DOcdlYm6uQEZgdcPrucky8NiK8oLwliBXvEyW1ThirvH2zQnCQmWcykJ3oIXKa0gbt889wY8SaiEw9nEdaLh48q52PyaLVDlaxUKpaxFGA/mACU/85VX+v9C3BQTVt6Dlit/6R0xigtHkTAbqLEllCT4t1k38W0IYkSPj4fgA5njCNSNJGHe/h7hewTey4rRkRfOQJrN4rPWeADnJTMrx8GYmGR5NQDOXGCO1vVpJmD12qf3RDACwOpUg3zE0WhDMHh9PXfYYD1QEDW0GHDjbUrnOrYRrBcQoM6lP4txM/c/ZgRgDGg+Kay9MyYbYCeWHddxHlBkE9ztdFwGsHugM6iLPMQs5egxHhEB8zOGQ2/Wacr9SHMNMOFWbCYMmgBq4mG6Ml9dOokiwAXybDw93bDCOOuM4gLjSkPzNdSHD4ckDq4cBdhowHMQM1jRlQ2J8pM6eNYCZFRbuzKXZSrx2+iTzUYTGgzqHdWgyhHuhO8ZQBMpZj1mEe3/c7GN10+K7r54BAJ48eAVqFSfndVkymr0Ae2BhpzqPmTpZ4o9O3sU7xyf5oX/p+BofhsP87p1O+e100A+4HlrcmBn2jrkP46ggPkc25IuCsna2s539ntn98CyeZ8beFkOORjfLXAlK8yXCegTdLICuzfuGxZKXMFc3eSlTt9F+xLlmGtaAEOgdB+cy27WxkCsDMV/nJYZYrIHzKzTGFg7Oi2u0IQAX1wCQj3Xw1gpysEW0GEBzodA9Yyiuvh7Rncc4wtLiMAW2YgXp9GOOjciVg1wZqFg9SKNF/3iAWFmIBb/qU//0eYPmos/nqJ7NIzfnCLngV2GiCAxKRtavyPC04Lfgyc9NESv2heDVNyK7/PYTwQLKNmSRIXJM7ydXriy7jEcgXmYdAKVaMq7v1eCgItsXYoGW6xTkYLNc4WTWQM5HiKeXOP05r+ttRwxYCrGCNXp+6w802uuwEQTk0nlAjh5eAnqZlm4BwijYjjD7MGrHvBcYJxKFo7NYNbg9O5VZ38VVnJm//evv4sEHKUgq4DqF5jpgeIddoZNYRUou4ijAWQ94jlFMlgFPHnBVxMHbMXYmCSr21WvC3geAmUjMPhzymC1/eoC/eudPMPm4xG0uuikO5iHHLHzD98O1Zjj7o3nAODvk6+AAut5Kh32K3d/JYsuC34pn5O9VNqQ251iYKH5utyES2MsHBHDmA74CboUQkXebgVX4qLae24xBVL8ZRBVjLE8PAZTqCMghrDnNSs4XtWzrS01FEkGKGZCkrZqFhDxnF8RoC7FrUi0XBDGUmm3ulweMhRg3RYwohCKMVI2pXPtCixcnC0jaQAXLdQwI26JizhqcnvubMis+sCcfqv8DP7iBADG43K8QsxcSAK1NQYsOAmLk80jxFRVEzMTwkiU9KF5zPQ65QtSDwLUWwgYIQTloKGzIHKMpNiAGLulnWj2/oWaeJAWTAFDO8BgLvUAWJGLJSq5vSSrscuTlmKizWpbKRDag1K4Y7qtP9wBitYANQBAbY6YXAfqauB4oZU4soJfItSEuBYo10w+kPgH43Crq93ey+JR0Z01og0q2MDM0yTvMljUhTtpfIL/hkGjypUDwqX35qZnF7f4HIUDeF8nAhMeI9Ro5zVpR9WdtDUG3JQbBMZLwaWPzVVjqC8B9IGzQ9rNGiQCF4jUlDokgqGRDPAAR5/NUU4NY6/EFJBM2iHJcjHuoMlnU6eAUAyHHAdOamYxNIPGLJi/ki67J69R5Iguqa4O4ZobfaUWHNuI5JM+teV9JjACvdGBdW4rKto/L7F0oEieCEChm4Fx1Ul/BLXNPJovoHdRbTCTsXQ23d7c2p/rIyOJFRNLcYO8wXcZ9KFWlKslv9VgoQKs1pFYsxfccavvPMrIRp+GKtwAPkPKc2x8dfHpbrS2E0fymmbOLKRsFMVh+q8dPgJdN4l9Qq4J8KPT8ASDP2SYBkYmBgqCc6RGqpCKF9bz0Sm/E0fLEbnhpkqtjK/Hmz2O5glcIHsut54fTniVlyufDl5RcgAjIXBvCeHilEUTIsoxf1IStvQAWKUrZGv7/ENPf5U0uTMRSxFqQFMxUyyJxkPpFL6gMFQ65+jZnhZrAYLhYvxNiiverkLPZBTh3trOd3cnuiWfxHNsCZW1YLS0YFceo2kYh4LbT9pw24u9DUmUnyksGLk6Lbadg5l2WN3X7lMqpU5txG7F7n0vOtSwudpWCDa3kdb/kJQ3AS6x6WfJVW6AKuOTjEkgUV5r7BlY686EgRongPa/tU7FaCJLX6vHcU7+3SYLv3LdqGZTQmgypL2jKVCKeqPvIxZhBUkav1LyC5LV84jelF91vn2G51D32oS6Rz/0iiuTN5VwoxJJzW9C4XvN4uZayR+EbuoVH4XEoS5EUswh5OQgAtNGHL2v3Y7LIGN0SXExZBX/NWQYxmXC5eKR4DktecpAQCM6DiOAeP81NypcfQcwXoL0ZRMJoTAQvd3yAn0RikouRNT5PZqC1yzED/+wCIipz+ahMJmZThNNj2IM+Z020Vhgf7UN/HNfpkZ5uedKhuVxnTQ8AcL3G8IAX05OPPMwBf28fL7PYT/MGnwPNXoH65BLuaA/iagF3xFWNeHYBmrRYfncf+ooj3Qn85CYKw0kJcE4eN3BaQC0t1id8vv0nDd9QWoKMg51xH7pYjr94WaO9irUdOThGMBORMwnLU4nJmYPXCmZS7kK9JOgLD315fesSr097NFGbxMeH8+b1Cfpz7pdreGnCuqQFwTnOBJqbHpNGYfWAx4i1PRhR6iqpw8UrhMnj2xPR4iWF/pmH7QknbxRY5uJlnXVCAODixxPYCS9lXFeIbphwmCtyu2cRlzPhh/Kwe4DrH1uEiPJNkPBxX2L5Mv9e36Q6IILZi4FQ5RF0QHMuIVcEs8f77n2ArImSTK4Dnv5bDTML2Ht3gvaar/vV60D4/hyLX83yvuORQ3NRXmqu43Zc7xF6j+aJwnicluAE+w+/E3DvT3n7KFUCnOm7UrjFAA4UwNeW+S6CslQBKRGVt6JMbQIbx4KIhV1ZUFjw22pL59T2Amolt8riuRQ9HS+Ba3Sn8vbkvfhWIigJ3ymI+AkAQvJ32wvI1WbhnGtY2Defo+K+hSgKDFSgrIbZzP2WbqaZEuQo4tjUkwUzlQMMXrKLWNI+KcejILi/4+3bKo1H+g7wA5eEjL1mz8X2ERQWx43FjTgjY2I5PD/QgDfFgwAAsx9gFrfvGwZ2EeyEMhgtnaudFNZx23MZuzCRNbziIfGaS+NT1sJMKQd1m+MB4/4snkeI5LwEexiDFqRi8RvgDzj+JbSH1g7G9/BawB7Y2Ff5XDfAzAJMFEFObGjm0OO100u8+8mkXIPjEaZCqvk+xmimlo83COhDnrSdFYD8hk4W1ER1rG2MBQBSCsFaiL0ZwmpVyHfT99Vq8zfWca2I9zl4Sgf7HMw0hjEIYJwGAOizhtOKcRmQ20zf47HQNZDzdSbJhbFQNyNoPfISY8YXrv9kYEWxSrdSLhsI18fjLXNqTj2bY5bUyGNAV58tQfMllBD5M/2/ejZH10moeQy8Wg8I5NRkMrUwkcrPojuPk+BNVGKLnkXWM510wHrE3nsW+iZiWFJAUxLaTuaAm1o2aC7Z62orFXU5OKhnc9DqNvNZ/0nH4wFUKcku4xaSt+HmBDGGnM6Ua8Hs2yFg772IcehEhGRvap3KlUR/fnsp4VpCc+XgOgF9VsQ9995jZfb2KW+bHqgNiYPE7k2ei8raC0J3ye3bjrMpFAD1M1YKA5C1R5qFR3Oj43UoyzUbPVofaf0nV+w52CnvO/twyOnZ2vbencBOJNrLkCH9B29KvH/1Cg5/W/Yb93s012UCcFFawrUaZi9g75xgnjDmRjuAhruvT+7VZFHbBq4C2PQaRpOLwyh+p9Fs/iYEhjBXnkXQirEJSuUbOoO7lgNPMPHh9rFNABvHghAZP5GMAngSEsgejboeSpvJvM8PPS2HPPi0WmegTTqWWA4IxoBW6/yZ+iVWay4IS3UenoWDyXrouS1h67yWp1xsxpmJOFFYn1mtfMceWnM5Qi5iPU41Wci15sxQPN806ch1hetYx/6Ot/Uz83ig3HTNRJV++SQ+zB5GOrZauKjxofIEFRrBSwcfNu8LatBc385cOS1YeqERuQ8A0Fx2vC2C29RyBvIicnCKvAwTJoA0YymSbABLJwp4TZh+FLKkYKIEkCuXWbjVyue0bSYhitW0zYLrdjKE+3JdMDGVtdc91Crk+AsATJ84UBCYPCkvCb2gDSxF8rxcA9wogfYiQIw1NubWoV5ou2zIzna2szvZvfIsahV1MZ1yoDO+aX10z/3jJ1Df+y7ETQxUHcwgLq5A+3uQKZPgHGcz5gOobfIyxL//UW7f/fufAGB3PxBheHm2oRsyGQ3C4R5gHeQ1L1nC4R7gPOxhn9e+zWBgZxqij+vEJ1wQdPmf/g3aS8sK5/HlZ6YKy4esmbH34QTrQ26jfzLD1fcbIAAP548AAIvXT9A93sN42KJ5NsAcMUy4e1dheO0E6yOF7llc/8a3s9lvsHhULun+e2um/LsOWL0UdU2it8G6IQ5mn5d+/f9jX/bJf/gB2kteSgkTq041r+XTen31gNCd9SBfFZIFRhTOPpgWfIAvbvzV9yfoLnj7cMznvd4XmD6JAj/xDWhmtFGiPhwJdBcee79c4qP/eAyAYx0i4gtqRbLFdxz6j/qNTAQFljXszlvYHjg54vElB1y8rmBmwOkbPAbzl5i6L9HqbZeoj4dAF3VHEsXfo38asPyvl/jgzVjw2AT4zqM5b2D/IOrVXDUIinlT9CEPYttaKOFxdjkB5hrqhJdCy59WuiGpRJ04mGkOPQ7elHnMPvxzhz/9yS/wdz//EVKqanqyxOLpJMO9xZS9lH4ywhqJs1d76FPug7MS/v98hbR6X5eRVlyGnpYASa4QgJ91EGm5MOtZKX3aQ8QJJQiJ0LXAQuXPug0AWB+xi0imA4gwHCsIE3LV5qTRsAcd0+XnY3Ug4zAeNbCxWlNftBiONfRFfBhjUHT5SCBIBbkuhDfjnsDi5QhrHhWGk/SgacxfjfKFU54UlqcKwnQYjhSECxhOYrbkWY/VqcZwTECIbu6Qqjkllt8qbnkz17AdIcgGywepwjVG8zsBNUgMccKaxLqaxasBNgYt5ZpTb4l/UsXg4fAtB9dJkGXhHYAfSoYea6h1yaYkpqzlSyK74ixSBKwPQw6apmrfcR9orgkyVq6uHrIk4uSjFovvRO6LPQcaBcgQfO8zAOt7P/wEb7ePgMiUDQDBE4T2mM86+D2L7lm87hZYfNsDJ2ssnnTl3Pc9xEDwXYC6Lo63bwL8wxGu4XGy+9z+8LbGf/vR/8Z/N/8FADBtRxz3S/zm8Sn+8w9/AQB48/JbmKoRNgj84dF7AMAMVzTiH29+gLdvTvBHJ+8CAP7qnT+BvuY0byISDoKzHq+dXuL9q1fymP3pT36Bv/zO3+MvAsFGfpU/PvoN/ub0x1DCw3qB16bPeGz6p7iwU/ztk9fxZw//GQBwZmb4X101I36G3dvJIsRUXvm7KiRbroEca1gjWAca1oXcJnjQckAYTf7cbqO9iLwRcy4k684VyIZMKgvruFhrLMFWWhvQco3mXEPHLALNV+jPWtA8vnbjsaafeDTXLhdTAWCVrSABAvpzC2FjMdKlxfQjzYi+GEPoLh3UwqIlQC4M2oTgHC3aKwc5CnTnkSUpBgzFWgFUYgj92ZjX69PY3yb+RjcCNHr+DZBT1bP3CDrKBDJMmiHR9rKkUqWRaC55vZtKtsmzZ9FeVgjOyIdBPmDyWKK9StczemVXyOvttLYeLwnNIpRjDQLdpYe6GjB9n1/nthcZvZgJlgG8Y76F/jFrdNS0egBYTrBv0F3EOI8LmL4vsb7p0D9LHhDBTmTxLJb12l9gfdGhP+NtdhK9wrMV/scv/xzDr7hobNkEPJ54NGeSlcIA4FojKObI+OUhK5d1PV+H5bxFWCi8c8yeyeRjrvXwspAEBQUsfjXDu59McPjbMmZ/9/Mf4S8C4e9/+cNMfvOzg1ewOpsg8Vn8bMJk+21vMK4VcNbiL0+jF2QEzlY/xV3t3k4WAHCrOOyF+3ERVg5w3uV3z/G+UnHS5t+hkOfc3WMr/Sg4nALJDfwvuc8UyrZcSJYo+eJ+NVP2ncflC1qRAqj+YfNzu18UNrfztjiefrMdqmokPpeFze/5WBvXjI9XgGXILvnG+NbXII/nFwSLBSrXeONaVv3eujVDghX5GNT1VX89x+Tz/fKi+y55FJUUQQhf7BzuYrsA5852trM72f32LCpAU60bkgFXaR+KKlupGM0HxktIWT6rNoDivirBsGvXMAt3ZvdOXsU23V+j4bui46EbDdsr6MjKnY5VdDJ8ARh1lHU2vKYMoGokMZIwIMsluoaQ+BoCAS6BpzxXepopQa0iH0aMhNmpxDirgWGKKxZdyICmhItwrYQUDna6qRsy7hX3V9S6IVNCQnbbKS8/vAxwXTxY4KCh1wRZoQ8DEQgh4hZiGq8FQMC4T1l8ODF/JyaxROE37hOkIfhGwUbskdkLkCOBDODbkJcadDTCLDr+Mw1DAHwXQEbAzkK+Fl4G2Clge+RYyrhPMDMuwXctNgl7NTAe+QxYM7Myxq+fPMX/PYg0Xo2H7C3M2OHkhAPj53IKpZhM9eHRDYDC7v2WOMVCd3jpmFGvF90UZKNnFIFcgRiZSccjxv0+j9n0ZIk/PvoNfnbwSvYoXjt9hrf8ae73/pTjeCeTBQar8T6O8O2HFwCApdE4V3eHuN/fyWKL3bsm2605OOEc4B1vq2IWmTynAnjVbeSI/WhBRFArBzH64oK7yCVZ/Z7i98R7AAAYDdTKlsrURNi7ZCKYmrRWy6RZybn3JqIg1eDQ3CieCePv1cpDGMckM6ODyhWIHnLw0AvBx0WJWShJaOZlIlUrC7LMgZBy7zUfA40eKtVbxPhQc8WEuQCL+IT44JIvRL6u44wFu/hpzAG9AOTgC2mMD5GIO6BZhEzmohPWQKDifEBup45ZOM0cDGK0aG7i9feM4ORsSOHaMGctmiu6PVmsCM0NIBxlkmMEQN+AMxSZlIcqwt7tmAUhkMiAp0LYa/Hmk5fQnEdkrJZwnURzKVjNHIC4VrA6AB5ZAOhpM4OUHqtL5sz8MDAhzcE8RD6KAkwLgtBcSBjforkunBSLpxP8zemPOUYR7S1/CnPWIxDzqJwt+SV21XdwVgJnLd4HkwZ7IzDa30Hym1v2PDh41gq5w+qq0hUpdPj5JYWkrUmWiicjiDkCPkcfuUCN/9z4XhVmpe8Uj8v9KuvuICudU1Ha+Bex6kHLhUqUoM1ln4Re3Cg6S0VLqWy94k8O1e+/6LJ6UwoAWae03p4miqyHUsU5AxVvoRYd/rL8IKJSQAuEikOieAa53+k3STKAZ9PiRMd+BlniDy8sAiOWA9iu1Q+x3YBQ3+Zf2r65k8Xz9D5rz+KzrIo0Zbagety9L1wUvlrefM4+cgVsfHhSwC9mCHIgMH0PKMcKFU4hUv6lfT+7pPZLWB2IjMHCpA9SB2izNmsOKpeAXCrMSuOV9FO3dUM+r20HXnMftgKvASjXNPCDl4KhuUCrCrZ+We1YH4p3k8aMj0F5W6iOCQDex0rpwPuFrXOAq/v1gic9ANbXb7jUB+KJomr3q4iJfyMniw3hoFwKXscxBDNoCSqf220kvYxYku61YJc1rVOTZ+FFVWJeSqx9LmWX/D2XzJeYhNdi48HwmrKCl1cElxS2KmandCyvKbM7BSU2RIK47dKHTBnfiLz252PEQrKBcmoyeVFeCabyTyngtJZvS/yANUOjcldbSsFdyyAleN7ODXNq1SvKhDioJmHXFKaqBMByLW3AkVPbzgDpAXEtMmtUGjvXopSjl0wx/MTBtSJ6HMWl8G2AW1JuK/XXtVyVWffHdrGkSGNDqMg1gOtDPl/blTE+mS7xfs9LjtAEhNbDLQWaqDM6GmI181C0RyeR3duMCtZTZuH2Tc9UeAKZuCYI7qfvHVyr8zmIqcVr02c5PQpwjOJsqXOorZmYvH1tJW4WCnszXk+Oo/pcIkO7bMjOdrazO9n99Sy2yG9emA0RIialqVqYhbI9fVZtAMhv6vQ75nIsb7rcXr3YI/ZUgha5ShIyfk+eTTyWi7qm3pc2vKKcbUneAcDejY/Zj8zlKNl7CokwJ3kyVDgmUx8yhFvTpqq45kKnoEXenjyqRF6zcb6ovAbeCNb34G0+xiB8y+dHPpR9A++X5BLjr/M1c7q81ZM34NrKo0g6qC3BjelX8e8mIEhZNFLbwB4cVVqrAMTEwrVqM/YUAnwboldXJAmT/qpvirfFngZyu6Kq50q6qMmzSFkgrwVeml7jt/1D3tB4yM7BLSX2J/wGvxwlpOZsyOGEwXv77YBOGsyHFnNPOOh53+ukNVvdekEwH4WYWrhW53HoJyO+1z9F25dqsJPJAld9lz2L7WzIYtrhOPZhqTXHPO5o92uyqJm1I0Iz1YuIwwMmuQmBMx8x+0CG+TjJ+UxSAwD41gPQbMrQ8ESU07WM9pQiu+4JMSksM1DLFFRcLCFiOjQT7bQNzKMDuFZmeLKbtRj3JdpWA5Igo9CRcBzRlxVDtGsL0YpcF4ITuXaZA4JiHYpaHkFeD1C9glisIWcRpjxfQq0O4RoFM40PvmJ4sJkIvpnjMI77EqbniTBzQXSSl1ENQ7kTeY17+YRjI66kTosuKG1IFYoRWUjIVdXocmQ5v0zvX5lad1kNTA3cl5Uu/XIt98f2HCBNlZF2AowjYXhpkh9esgQx4lbF5NpIaPOcJacKMXtCuSSex13Cr0qGxE4E7NRzWvvIwUciJGF5UvNNqJZLAb4JuHlVYWpaUDxuIAFHnEkyLmZIjCzXJG5bmgaCAoa1hh8lrgee9dQioJnfXhqEPvJf7AXcxBeHNRIXdsrIzGiD1Zz1SGMSvw9W4w9P3sPZfIrTnu+xpW7w698FrdOwFZEJxpYoTc13UaVIN7RMhxFhWIOWOpehAwB8QDC+cAbESUetLCjR8QMl7Zq+x2Op6yFK3PFFkPM12ssWYoi5v8RHsQi5zWR1alOtLHRMnYrB5RskpTBTOlYMrnzG/xeDQ3Pj0Vxx/1J6VhjJ6+94Y7aXFmopoBcWQfJdrm8Me1KN2NB7FVdLkA9org9yXzLkekROaQKAvaZyQ1eXqVmEDar62tJ48PcIPb8Euos46TQcH0kFa/nYa0J7FdBerLPeSEpvcil5mRzGM4328tahIUZOeQpLuQ8A65cIS1CLCLF/piDXAmIE9FzlQjLy7IGYmUTLEAVIwx7U9LHFrx8/yOxUTH4joa8IN48ZjKGuFHzDfX9q4jXXHko7mLMeaiFwE4Ebj7bo+nNfnyiYQWDvnNDGMTt7tcffPnkdOCvu1fs42vj7JtZFLaYdzuZTLD+e4Y14735ztU63bGPZAfByImUKKqBVDb6qlxlBSZBkceMsIhGYJAZewCfSlug92F5BClfAVgnQBWwcyzcKruNcOgA0DbNWJTq+VKyWQFMJMAVsgqZsrzaAUml7AkcloJfvZAaCpf/3nYSZcxiCFwAAA2JJREFUiFxAlpYqZiI25ARtL+BallEca1CWYBCalJRFgiAlAnmM+1Q8izj/uYYyWArgYq9UEzJWxwMBfSfhh9u3VQ0iS+c9HgBqC6hlphQ1UNOxmIzGa4lxn/dNwKksM5jO99RgvarWYXncGUxlZjyuyRIIKwHTxj1m25Jrgu3Dhl6qbwBz4FmOEoCdhegJCfzw0VP84jGTGoUmAI1HEAp7j/gNfqOnEA3fBw+OeNtEG8yaNX6NBxj7pkgKRgGgbRuPHfThGubJNHtd+nSFP3v4z7nWAwC+/fAi4ygA5GDm8WSF036ON4zE9x9yZfTSNDhTtyf2F9kuwLmzne3sTnZvPYvn2vOSxp+SSA4Jsl1bxbFQ/46i0tdGzn37tyFUmIEtnEYU1ElGDrfaY40IlONV38UW2Cupk218Vv9X4wM4j590KEIGcG0Uo1UYh5DO1YUNFXIAUQOj9Df3e2t7UfZ6zjk/51pQhRuof5v7lSRBoo5G/Xc6j6zDYUqfNgBLhm7FMYAY48j6GtVS1Za2Uh/Ipr5WWI3Uf0MlbpKueQiYjy2D94AYXGUw35i4SA3Bx8D3sOX2OysBU/ZtXqASRpbgrGAqvJTCthJnZgZvyiAsjd74O7W71BpL3cBZiaVpyr6fAyH3zZksasnC7QzF9jYAG9WiCaRVgbaC2PxdUtPaQPNtt1nXiVTR9tLH8neiV6vbYyo1lONV332JSeVtSLT8tNVOpnpPxw0gUc6j7IjNiS2dxvNiWs5FrkmUflWf29vTd1/dQfmcnwMXTP+33e6t/bYvY7pMsW9AxED4zT4BAHTYWJbkNhRnQbzeHB+WDKj6I1AyKdtjRNxOPgfibcIBs2aNEMmNgwqADggqoGl4ZlnrAKH5Huw0b0vLEKkcnJZ5Xy9fMC4yQEpGiqaJVCqHUz3Pbad2679TuxNtIChACI9W8jbrBcTnQMjRdiDx6zAiegpgAeDs6+7Lv7KdYnfOvw92n8/5D0IID+6y472YLACAiP4phPDvvu5+/Gva7px/P+x35Zx3Ac6d7Wxnd7LdZLGzne3sTnafJov/+XV34Guw3Tn/ftjvxDnfm5jFzna2s/tt98mz2NnOdnaPbTdZ7GxnO7uT7SaLne1sZ3ey3WSxs53t7E62myx2trOd3cn+P58909Ej+X9tAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e5208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.37942147254944 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 0.0001} is: \n",
      "[[  32.00960128   16.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  16.           32.01040176    0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           32.00960128 ...   32.00960128\n",
      "    32.00960128   32.00960128]\n",
      " ...\n",
      " [   0.            0.           32.00960128 ... 3234.22331772\n",
      "  3130.25005023 3202.3925739 ]\n",
      " [   0.            0.           32.00960128 ... 3130.25005023\n",
      "  3032.37042487 3094.62545487]\n",
      " [   0.            0.           32.00960128 ... 3202.3925739\n",
      "  3094.62545487 3188.34380269]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.683305740356445 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 0.001} is: \n",
      "[[  32.09612806   16.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  16.           32.10417616    0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           32.09612806 ...   32.09612806\n",
      "    32.09612806   32.09612806]\n",
      " ...\n",
      " [   0.            0.           32.09612806 ... 3254.38853506\n",
      "  3150.64970169 3223.97744677]\n",
      " [   0.            0.           32.09612806 ... 3150.64970169\n",
      "  3053.86931114 3118.33161895]\n",
      " [   0.            0.           32.09612806 ... 3223.97744677\n",
      "  3118.33161895 3227.67299453]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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NHP2vkaOD8yhHOcpBcjs0C+zChDmoH2BPOIs12zBv0BVM7XzuDpgtkz1Y2IYhiF0KiM9gUBzAm2RJlr6DqUpMJHZ7suldttWLmPnItLLQ401mnAI7PgRwaX7ol8gAgphHKLeJBkSGZbD+DcMYrfmmWaeGrUnjGQCenMuuY21NTlf1UxT+CVtl3xp1G8PIv5D+3tc2F3ePAQDVHMtUfzaTal/KufXBfB8TDW9HC3oHz83tmCxY/yuiA8ZHYai9EUgrBMFRYOybMNMDQAJulXam5FOomma2nPoakh9CBz08ez4Geem13GIhnmVT5YYB1NQZV5GyWQsujMK+Lmn3Rn6EVtRP64ObtYgFMMzaFzdbuFkLf/9uftjMcVaCvoAM/AohbS/NoOTk03NwCKD5LPsdypTy0k/UtqI6l3gGD3l4l8t0b0pxbZvvg7bFGXANGEeMptc2X4j1bV+aPwBqm9S/vBFwJ2LSUu0Qn7/IPy3mYHLijAbgP3qYAV9VlV9SM1GJBAcB9ZvYQrOYA2Yy6H6oB0DzOWDREEBMJLkB8i+EjA0BwK/We52O/iufyD6hmBi8A8/a7C8BxB8xFMcnh6oDvvIR3KYD67NEzMCffFlAWVMpk4HMN1BGPcpddRW6DN+ftJAUxZjmRvOOY5RDkAHu++zRj1G0oBAlxKiHvw40VXq1BbFoWkbWkkaRFs6/c9ftOvDs78kqSZE150Ffor4XEFpqe5FIxg68Wu/ldxjxRnR9nkBLb7s6Evc5paP1E3nydcj3h8wZauNk/S0mDV6td847ku12r5ZQRjH25XLYgsGbTZ58mjieNM1fMHXSVhXwfOyzEOdkABmIbF/CXznhFVES3mz3PrNupU5Y53No+mIDLKuxJj1NpiuuR6cnmUTH5Bo5N1+sycKyFYsIxyjqUd4wxWKMoiHGoFQyE001C5UEFcdYs4D3o8w/7kWzsJfQNJZyJc2NKqIVE80iMVSZp7tpRpGWBHvfbEFNk3EcQF5hSxwHIKqu8yD9BESJSy9m5BFilYiBxRx0iWZh5gXqBmRmUXl8CBklOJF9msUI0zHFchTCIQrWZPF6zQJTzQLI2uVEFafFXB2f8iLSfJ4xHE2dno3RZGyaRVVlJ+LZSXZGqmZBw5tpFqCLPM5lW09PsiPeyHvb5lqaRTyZw9VV0izADDw/3Dy5XZPFFVmnI9xFYaNdqlkYhLf0HezJrLyuZoGuGyfrRM5RgRByCNXU51LepWYBXI3jKNo9ldHW0l/DnDEcE7kJzYJKDIz5cfZJjJf2ZSRvqVnEi6Ws2jaJltpNyfQFvb/ey/1e7dIvvnPN4uWr/ZGta2gWbr0RM8oWlCPc+yhHOcpNyK3SLK5KUTc11t2/P04Jtll4MhsndV9xGAAEh8EM7nuEZ89H++9lndvh1ODkJB1dy/uEvDOsx/D5411thbKGUCJD92VqJhJZU25C/j2ZSCMTooidl9smDkPuuqzOAtls+vgj8GaL+HwX+yA7FPiHUns4kPxmxB5uZDMlOfAePIeeVFT0tkUsHNh7r7EP1Wrn20N+g4nfypkfwsWEg5DjbeUPeRUngVPTw/uI3/58nNyoWshVUZbrkt9goSC2u3fSfQ+fffva5Dfa4fzDAQqbya2aLN6plC9DkfVXEpy88XlLG9bMlbh/0roxmUxY6aqFKi99nZhzk/7TKLz5FuPyBjJm8OKCcJd39tlnx79z0ZAwABmPcnLjsRmSJu3hPY2ZteUtSIB4CGNg2DXldk0WyUewOyBX4S72SUKqFS8V9/3Yo/0mYjkRl9jXfA1E3FvJdFKyySsUzjRX4DeKcdi3+vAQxi/D+5B9rNfAjn8AwHuZhEfQfO+AIe78PpJSQ7tpMc2w70E4PNw5kjfEt5jcqsli5CSqG1VBLQs04y7c2Vn2SjcNYhFZkJ0k34O7bpQrUZoe/pOP5YtFH2atPJB2vfMLwRMMw8iLz10nnmmDPq9Wkk+h+QXxpeBCqu/7mji/ype3qnJ24WqTcwc2W/CZMiA9lTbS2akAtOparmmRk+VSINVEBWdGTO3DfJbH82KV+BosYzPlRlhuhjFbK/7A/cgP5jEJUR2PNCKc4baB63oZr9KzPgTQptvFJ4QAPl2AtnJeGwOBNGsf7EHWXJA0WbQ1aNuDX76StgHg2osmwgz2+QUIpy38UsLKIyCcA9xmAFcO/tyIbhjxzgJce1RPz/W8lUQTTHMstQbvgKaSDE8g5Vfw4+fY/Ov/CtpnCkX3BPYObtNjOBO133X5GYiNPDfRi4notwHURwyn8iy037qAs2emyHOJixbcevhnS0DHLPzUj2H7sEb7NC9QoXXwm8KpX+n1KoIbGH4zIMw0GhUY/L8fXg3w6OA8ylGOcpDcKs1iKhx5f12PMhxq/oIy9da5VEsE/X62akzSklNIrQBzEceJMyiKlrHeZAToMACbzQ4ZMK83CvktAVOSXi5aT59h0SHKCstFSZ9+kDaY6VSG7fpeNB7rg63kdTWyaXmzEZRfQQ2YtJHEYl1k3wKg89UY2OWcAM3KFPVBQ70hjrEIIY6zaS2Uav2za6Q+9tlsS+q/H9MKdJJdy10Hp5wRVHBVUNmu7SBcDt6N9xnkfKPiQyGClptRxjCtN1mDmlZSIxI8zXaML4mbDdona7hX6zyulQe2HeptESImSQpMGIdKM2eZQUOE22obNlvJRLUsUb2233bCk3GxSmNWP1uBhhn8cquxaaDyBOpDgh+kcLQnUDcA/QCfEv1Y9j1QbvVkcakYuApQIBSNAFHXdmCWxDmT8oUYhsKOPTydl4iEWRtFXLxMRTYCGPvuSG54AaoigxyX1/VeODCv18PrSek/KMdlpNorHqEkmYk8vjf60lkWZZ7M39B2tusX6dfsi3R1Rznd2xftUlAUOwKVxZ2srZeAwa7VrmKc2CvAzIYx6u9l5MgTaNDxo2JBsXvrfV64lExnKmzntHMUbWFSNLG14W37iFs+WdAlD1WJ1iRfDG7pxKsrscn1ExiHRy2MZNBpms81J0Bt0SI9mIPa8IrApNksQW4jAHeyQLqyaQtmoxeIO1ReiFmJQMt1ZlJab8GnC3mw1afA81ZW47YRQlZNo+auB5oaZNuBnGDV1OBF9lm4c83d6HrQibJMTTkgzW+i/Y33T0FbQ3Bq270De58iJ3Few63FZ8FN9llQH1SDyMlQiS/jZJ6SuJLP4mRe8ECoppZ8Ftk/QttO8oHunug+4legwMkmB4DhtEG17CV/qwwZ352Lz6L2cC+W2jaHeHeB2HhUpqGdLZI/BLZCq7Bz4FkFt+pyGwC4EHD+tQVmrfqUHCHWDn7dor8jY+u7KC8vM4aZPl/qa3F9hO8i+hM5fjFEcaw6jNCew/0TxLZC/bROY7b5ygk2H9WYPcssZLF18Oso6hsDsdbxr2RyqlYBw0KfgcCI3/qi8Vm8K7mOZjH1bMeo/7IWQEQZHl3uxzFPPJobsoO9KBN+yk97kSJn1ud0fU5aCNkqPeUmSDVZY47qpLDaOJSXskI55uuWE+ceBB8NRV/smka+Y2HMIea+aGiWTLNgzg/5tH9lZuROu4r+laFog0PHHAYmikmFR6BEce96edHIF8xnDKBXs2koNIAYQUMEVYVmMgQdLxZtoBhL8gz0eZs9ERwiXFeo897BAXCDTAIA4LqYaO68OTprEoViYFAfpe16bWIGY7xQUh/hXJDr65j5PsJ3LMdah53+bUqtZr5GdnBdhOsDvBZDpsCgyWtwldzeycIRcNk7b955QNRyGucV7KM/25FEwy8JYKi8TBTGIkQuq4Ke8zFOgDspmUf5O6dQZa68PMQl7t/sWfV0l9l/3FRAYAEGAWKzVno9nzUeVJWu2AXXpY2T95lqHshZoaPcg2wGccCOacV1wUlpxxHJCm5+j0bzIoYIbnWljKp5qc8AAIgsK5aAukrPc+p3nIyNjXFkwPg7vQd8EPVeV3OunTzkLJqF+XNC65O9z5VNqgwKDk77wL3R8wfExiO2PtvwRGPNohwX52RsemuDahbeIcwdomkWnhAbB4pZi/COwCRdCjPVSBsCBYAqBru8nZsK7CLgCdDx40rMrVh7+MqnMRtmHv2c4Nf5HnKlgDBPojnULm1nAih4hFbvT+CdLPqr5BgNOcpRjnKQ3A7NggjGYp03iSppVblLiHdJ4muUerzdChUeAHSdYCr4csJeVmLaRICy3iBxQgCSkViJvZ9Wv8iIyxVonVOlOTJ4vc7RCuvD46dj+rdSDDptyUMA6GIly7PiIZJDSz3pyYcCAKu14CL2JKqVRX9iQdgLq+a1L7kNSNSA7pufT36nHEmwsdE+oMjMTaQrJ4u8IqeIRp9JZ4Bkc8fnL3a4L4gIcQJZjyyEvf6bj8ZtM1NR968MAVo6u6F+HjNv7snzRCGi2ipWRNtWcl0A2HEi7wOzha7Dnd+rx/R0VQXue9Ql87mNR4G5SVGXvgc/uCvbLXLlXMageIf49Dk8CVGPjdli22Exa8U0GaFhQ452FcmFvFwBIaAuCHvd8jCQI3BbJot9UniDpzJKJ7csO6KCDDfgdYS9RpBLBfArRUAAcUa2zRjO69zhpQCMtr4AeulF9nSIEhgoh9ayuQIuSGr0fG61vhnC3tOTMXrSog1EIxPHqOXLdGfS0CDPVNXXEB45N2bHsjTu7fZ6hL2nC7lU4fjjgryXvUvmnTk+KbA4kLUf8WyR2+bFNHEX8sLQdoudvJQ0TpcT9oZP7sKd54pkrOCtaA7sgu/TzMnYVNKGyoG6Af0DaZdf9+I1rxxclU0et+12CHv5wV0Md2ZwmyGXJlRHMzsHinEUOnV19SUg7N1Hq2fY/H20eqOSgjFPCrbiH0Krl1isMjaAgTxBdb3Uc9gW3v3q8OEa0bOPWMfVBzCEwucQhYuBWTz/ANA2hTM0OyJHEYybEMNQABp2LMK9NnFaGneM+SG1v4dQUNepP6jrcxgYSBPhtcO/5lw05yaAsm5IiqSUPhqFutsL686Vu0InNvIuR5Wu2x4V6rNjmWOUBDNj2AZ2HcZQ+9+c6v0Av9F6vBfb5CSmjT4L3SXegn6A6wa47eR5H0JyApP52+KXPHR6qZQagkYRGCGrv1a34SozZId/oFfNwiahwqNvq16qR1IAny6pG4JtwUhU8A9wn/9ma4IjoYOLYUzK49xu+UKS1e2myhfusFGVOAabLLe5vB4F1VisNEBdA77JYxHkxS55JOzF3cfKdWX5QlsMCtxKWRaAlAuCnBuVKBBwmpZxUO1EAHIhm5r7+j6Ry+qG+JfLBHYj1XC578c1SDWJMTni6zpTBQ5DhkOoJsmVz2Ax9sK1QeO6If58CW/JYckMjtn8mOQw8Wo9Bi8e+SyOcpSj3ITcWs2CrlJTCwAWeQ92gzjaRoVwDiwypD6LHZSmoROrDOqySu2H+Cwwn+XZflKBPLWlZLSq6/GqlaptS3GekdOwql5P2we8eflCk4mDbEQJB4CGKsHFU5jYZd9GqfgmBioghWOpn1/PZ3GyGF0f0BC1QewVIs2Vz+MXooSgrZ9mwllY2ULc1vc38FnEe6egpY4vSZiYNl2qol5iSbjwQ9AgPgXqB8QzAdO5VZccnOlp8B7u9GTXZ3HnFPHOHLTuszkIiLmWaBPzPSMrwvSF9lmw/le8PFZeMLF71428/HUl1GMTDk5ERnzyJJ3SLRYygN4nkpNEXFOoxVPmb3s54nK1n937VLNDDUvQ9TIxXCwB5+BIEZSWuzFBlXKtNVY3m+R74M1WM1eB+FyzTufzlG3Kw5Bf9u0W1LZwZ6djoJVycJbZt9Q22QFsk+BqnaHbzAnR6a0SWQh7WcnhPaDZjFTXOaejLx62EHJOjN1Wa8vJIuWyWL9psUiO5gSZLtuWzhvhh/k4L0Pv46hS23y2E3kBIC/HZit+qScFA/zJQrZZFbh7d2XyCVGQttbeyInQJkWpKi/ZpWcn4CGO8jhgZQKDTppDyA5eq/faS8SCth0oxJxb8vzVXl4RfnhfnrlZM4LTUx/G5o6y3yeMEucJuv/KPVSvNgkjAmbgO4cbF7djsjhQDP5dQrhLWPeoMpiGpKjKYKCEIoxRvP5AgjnTbJZfOgC0XhflAYprAQK3NnhszqoaAAAgAElEQVRy0DRv7/NsDn0R3Ha0Ok1TyBNzEVG2pW1ynM2knfMZsN7IJ2Ryo/lMKldNwqtlCjygIcpKXyxbUW1ydFomz2Dka7Fn+eH9sYMSUEBUla7Hi5mcexIhSS/MHgdzGo+i33y2SOFBtlwZJZw1dGu67jCA75zKySyNvHRkAoins72hQK69pJZXfjSR8J1T2WaT22IGrj04sBxTaIHsCbH2Y7g3Eeh8je2np6if67PhoJGiIaWo+21I8O5owDIvuSp+M8D1EUHBbU0/jFPjVYJC0/3FNqFFh4cn6O41aJ/l1zjMquQsBYBYGSjLIbQO7AlBwWIU8++HyBdqsriOkIXVpvklKXlojBw0RGOJU9grltFoK7iThzCHR3PEIKEk07EZYSnoyoyqHIUlrT3WzrK9xf4juLiZCYXKjYQALa5rGARLNEqIVcVRTNmhbYwMWQlInkiBoE1icPV9OT2+rFSfH+CMTLWXyOu9y5OFePWzaZH4LOwe2+UbD+p21WpDXnLtE0JWri/bkgZZe0GnxphXXwAJKVq5jCJVFCt7hzBzqAwpqUmBjhnRyjUykmZh6EnhvSBQlPtl+3JhFpUSG4/YODjNi7Ftw9yhLtoaWgcK+W9DcMaaEOYOrveIrU2CuJbX8ujgPMpRjnKQfKE0C+O3SFwVQOarmKTw8iCZi1yyLgE5Jq+1Isw+j4Dsb+ZFcc7yWqSIUbgubePVJocGbaU7v9jxWaCvMlpwsxGuCqjPwvZRlTguV3LOGFNf7HderaRgcOm4Vc2Atl3O4Oz6nF1qqvZ6nVf/yFmLYAkBU1nkd+KzSMWBjFIeGGkWPPFZjMTGA0j9dsZ/YeNW5viY05FIxqDrQc9eyrZLfBZuNdtbN8T4Jch7xOUq76/nMp+FMw2RGdzU2cwrHb1mxpjWFgIWf/IKtLSwrvpcQoB7paxohc8ioScttbzrBU1qGtaLc/Aen0X1qErXM2nWHeoXM9BFDvnWhbM9jSsgKFA100qtyXX7gY/75IszWThKGXSH+CyoqTOAaeoMBZJDEVrbwZ0sUrlDQF6qvT6L+Ux8D6YSrzbib7AbbD6Ls1OJ+5eArCKF3J27XITGeeDemXxXn4WlvdNsBmw28gn1WSwWwJ3Twmehtrtz4rOwaMV6m7gQUjq88TdYKTzr43oDrirwg7sZDFSQHpc+i7iYwSlkm4vIkACRXK7LWoiNB4DU73j3BLTJLx8TSQKVpp8DYqpQHySlX9PskxlSIhQBhLsz+Iv9Pgu36uSzxKE8uCvb7PgHd8CtBwVGWFRwa/XvqIOTvYM3n0VTgT3BXXRYf98Z2ifquDYzZDugv1P4LC4xQ6pVGPksWi6cqIV0X7mLWDtUF12K/gynDTYPa8wfZWq8YeFRrXIfSzOku+PRPm8Q5ubgBOIff1F9FuVKNv2pH2Q1VU3htZqFvah9n0A+vN0WWsabaRa4WGompE4WnYCpEmtVn0OBN6pZFG1PjlnvQKt8S62gDA9DcnCmPAmLOGy1H5sNEKNkZ74vzaIv+E1NqzAwkWkWyl3CXZ/QrTelWfjHGXbvy2I9lsfjXNbENBpCFyssmG9cs2g+Uz/VtkvPsHvZXEuzaGcN3GoLbi1nBXDbIyhLpGCmenfnvMSBB4x5L96HOAs1TtpkD2zB3jQ6pkgKS+cA3v1YXUesrckBnds/qn9y020wPIYrxtBNxtLRzv43LTy9h28yHg77Hf4Hyq3SLEZFhiazq2ukErZ/+ADhyZPse9BShvaZxPvMHakzbVlkyFi4y8I5I4khA6yKazkysJXub/RyfS/O5YdSZCg8ebpzTvEhaKhQeSXTtSel/WCZrMa/Wf6+3e7UZhXSHgaHLj8QkZFY5Aw2vt6MHxCnq/y9u+CuQ3x1/vryhaU5VwKkuGjv9Hhe5j5ov8upieVkopmNgFEFi7ves8uElqv9hX0K3EYJO7fsTctidnWTfDml+Zrg55GziaWaHN+7A3zrkWT4pstRwgQBGI/HvhSAA8oXeg1xYzHPkbNHT0DPq3Go+oryhf7eHWCzzZEsYKeQ9lXy5dYsjnKUo7wzuVWaBRcZptS2I+Rh1NkzPH4M//BBTtyZteD1BlTCnxXmHbdbgUXr7Dp8njkxqu/7mlxzvZGV4HQhyD2btR8/FRTlEHLm63wmBL6LRcZInF9IjQ9zYD15Ku360R8ArTsBKplq29aIJ8LB6V4swQutK3G+xvDRGYgB//XvyHk/vg86XwkX52qTwVYvXgH37wqk2PgrDcDU1ikFGwD883O1c3uwbresS3NwGiQ5fkt4LMKf/xG4lSEX9byVQ2gqOAMDndTwS+GCCG1+hNx2gDvfZHBWWpEjwoM7cCsZx7hoAQeE2sO/2qRrAOI4pG4Q6j4AcdGIc/Lxcww/8SOyrfESSZlwcG7v12heDgBhxADFlUO1HBBrh+aRojWZ0X18gtA6zD4TbpNw2iDWPjk0XcnB6R2GuUd9oT4njSg0f/oUj/7an8XJ5+r7qsxxGbG5L/tUGwZ7AAwMM0r7geQ3v2V0Z9KPu//fGq4Lymqlmi0RVh/NMcwdFt9epzF78Zf/Zaw+cTj5PGvV/cKhWWY/WVAOztBI3ZBmGdGdyLVcAIZ/cHjdkFs1WYxkpyJV4Sgs1SxNjd5R+YchQ5f3VTor0I9MTsh1lf8QQEZ9chyp9eIg3OaoSSfZhcnBaer5uhO0oBbqAeQBdfa9H4A1pWPcSvH9di3LONR0/ISetG39IBBmIBP2qoMyiaqcFkIFkCdZC6kaCa9lMl5shTIeSG0nrxGJohQibQZQjHkbC6X9yJOfig0x3KZLv7mt+iTWfZrwEiJ2QtjrQgRtO3Dfoboo0JOW0VoiEAnwyz5FJKxdYEgqt3e5DGKIqJY9aMjM2f5VFNDTJYS9bpsJe52FHzdbzJ8F1C/N4UuIlYNfDwBkgnddhBHoVhYNUdo/17NwYw5K07fpZaJ0ruD1JDTPNqjaCv7VJo3Z7PkAdpVMkCrVmlGtdbLhIhpSEVwfUa1CouGjwHDD4Yn5t3eyuEqMGBZIE8A+O+9KGSWXxSLaUEwo+855KGGvEauW5+AJrqF4maj0vAOZ8Nf2i258nsg3Q9jbh3EbLRGtGA/qg0wyZb8jdhmbzBY3aLb9Zmn/oWxXkXR3GWGvlRMkkuszj/JPXBdBIeZcDsgLY+S85fjKvYhwnnIfyn5ek7DX6fk5kvgR+whvdUP6OPKbAECMmbDX9RGuVyRxkEmQkCdyhttL2Ou6iGrLcH1e5Ih1cnJ6TyygFem7mLA3ec91kEtH2x7egR0pve/k8s0siW2NrauMHBwqpad86nGeRisUI4FY4DwcSbYkMI7AWFtvqnLI1MNftrXoDzsnD2iKEuSx28k6tbyPsr9vIq74ZD2fL5yXpkw4ymYNy+qdrl9e20G1kJwD8kZS3l6SnA8mpBKKqYZIyPtaYprMLEXbveCJuHJIRa0vy98ggJ38sxNIGQR9fsD5eu8gaHN0cB7lKEc5SG6vZjGVFGoK49BaqkZGYz9HqTHY/qXOVfB1plIAyiOwI2XmaF3lLFMA6CsJs/UaJjOugbYe078BmZ9SQTsJPTkE4WQ0NRiQ8ys3Aw1h1C7ja6ACqAUAaBtJrba2dr3sp+0BkABRKcTWKnBIV8E4q9J30iJD7IUi3/wTYV7DbQZZwYoiQ6CCK8HuQdH3TH+n+9SZlyRB1Js6A7MAsKFc6yo7YxtlvWIeVSQbTgpKf5/9RKFycH1ArBxIMzIJQGwrhNajMo2o9lcWGYrzKkWirQ++qdGdefi1gt4qEuclA/2Z7rN1YActBaAOR60b4gZG3Dr0p9KG9nnWJtnYE52MeZh5uHWTxqY/qbA9k+Qwq5wQWu27Kp9WZChWJAlvFWE4Uf/IwIiH01m83WRBRF8HcA5RsAZm/kkiegDgfwDw/QC+DuAXmPn5Zee4+gKu+KpqVkSiIgOAVO6vqoSaDhDbU6Mp1DR7HZypmrnVHp23I0JV7aA4Aq0cp3PCRzGf5ahJ1wuE29CJiqOIJ604G0sfwqzGcEdg23UfJDICceKFU2lP8528L2n1MQwhR0MuVkBdIc6a7Cw1/sd5i+FuJq+p+kGiJs6lKIkvS+INIU8uGsfv783gV+qIHKKo05WTCIQWwunPatSOAK5yRW5muG1A1YeMfDXOj8iIpw2cBB0QFtKX2HpUNgmqqh1aD7+tk38inNTwSw+/XKO7a8c5qbkxxOTAA4DNA49ZpRXUC7U7VoR6GRBrkigOALBDf6dBmBHq59L34W6L0Dp5iSqC3xbPiyf0px6NZocabHv+coblpy7TC3pCqAnNzGH9UPap1tmHMujtibWYKtWKUW0Z3Zn8PntawynnJlnfiLD5pEU/J7hhnsZs9YnH8qsE4vzM9ieE+qLMxNUx12hIfeHQn5rPIk8mh8i7MEP+IjP/ODP/pP79KwB+l5l/GMDv6t83K/t8AodKyQRlnyViMGko1xyqy+z+Q9t4mb/jkGPfkYzsXBpvn9rAPPVtTPrMZre73fO9cdt20IhIE0Wy5Ytr8WTckl+hbNebyGRsys9929NvNG7baJIrxu91/gY757vwS1wlN2GG/DyAn9Xvvw7gfwLwH73RmTjCIIgjVGGZqBTVA18UMGbnwNuthE3tc3IOCz9ZWJGW61EWZqqGXnI7GPkrkGudbjZw5w5Rt9u13ItlCnumlzsE1EaPv97CmWe961G92oz2JcUkWO3QRBLjCLTp4Feb3dBp14s2YX08lzwW7np4MwGsErmFTi1XRZGNzZNVVr85OwZLPMOsCxo1iXCdhSJzrdOkURjGJEZUL9cZSRsBOKAa4k6tUzcNna6k1imv12ieW/KamkTMgovQvvltjWrVjyuSRdFA3BDFDNG+UYxon24QFlq3FUCz7q80Q+qXu7VO6XyJO98ImD3W7RUhNILrqFZlrVPsr0gWGW4b0VwoJuNcmLPK0ClXDotvBq11ukxjdvrZHL6rMHsWkr87NoRqHXPoVMeBvURDprVO/fb9hU4ZwD8kIgbw3zDzrwL4lJm/rb9/B8Cnb3z2CeGLXDGMa4okD7sHYk4ppqoSyK1+yvZiYCwL04r4NHWihweQVi3hXbQ2CI8hzdpMq9f3ylqlvgqj61u0gqMoCyPXVTY9hgCeN6m9YdGIKq+XshRpritQyKUOsVb737u8CJWgrNNshvh+EHPDuZTtmoA+3kl/zZehPphw2sJpYWQaYsoEjY1P4cdwUsOvpTyeZUsCapsXZRrSpAEnxZStbzMhjomLXNP8SlCWd8Bync0XLQ9IkYXpSW9rd68SjUJZqIDspvKbIKaFTgwcJWszzDJ5TJzXrwdlVZbFqaCsly3WDxxcZz4L8UewJ2zvTXwWBSjLwFLVluE7hy75LCpQJ6Fle2zYO/R3Gwxz8b3YmG3vV1g/VJNM+znMCHWjWgkzQqM+i5rgeodm6UagLJtMDpG3nSx+hpk/I6JPAPwjIvq/yx+ZmXUi2REi+mUAvwwAMyz27XKUoxzlFslbTRbM/Jl+PiKi3wLwUwA+J6KvMvO3ieirAB5dcuyvAvhVALhDD/brQoUZcimC06IN/VCg9tzrEZyFCk8+l4obITiJlOjGzsuCgCwiLLzZAs4nZKRdy52vM7jIYvtDEJgyNFJhDOVDgD/fSvTBaP62nWgyXY8RUSyR9HU15Gsa30bfJwcmICZHqu9h28raGxyTRmQIzurFegTKMnOLNj7Z9dRLcSHqBmDIVbdoELMmcWcUtSzcqkvndYZc7Yc87ubATmaIpmF3vcDVt1sx1aBaiAVRapeu4/oIv+4Ra58rkkUWTckiXWnMI+qXG7i+Seq+X3dSeNjMr9IE9Q5eK40BkP10jE++E9A+NS5R0cKqVS+OWpijmMQh22YHqUWXfBdRrVQLWfYJmWpIWq492s9XaFoP/2yZxmzx+SkoNmheDkmzEF7PkKq2JzOkcvCbAL8Z0JhTOjB8/x7MECI6AeCY+Vy//yUA/xmA3wbwSwD+ln7+vTc8P7jIjks8icMAtK2UmgOEabrrhSVafRlEJH/HKFGRCboSAPhMCHtpLcWA+HQhaEwNBdLFSsKObZOjLHUNWixAp4sx8Oje2Q4fxfDRmUC4re4kgNhUKepRvdoktdqfb9F9cgKKjFZzN+KdOdyFcA/QaptDnP2AeDoDew+nPAaXRkOeeHn51luEe0J2618UXI9FNISU52Hz1VN4Y/EOAuph70T1Dxai9PDrCNfHFK6kyPDbgOp5odYWVcGGBycp58TGgD2heqkT3igaEibRkB5+GLD+ityzMJOIBaLa/np7N/c92lc12FEKCUq19RbVOiI2hNnnhpSM2H48Q3/icaqTRZhVr4+GKLQ6RUP6Ac9/tMLpZ3qPvUQemosKmweyzW+QQqeDKtFmHvgto9ogRUPuR0FgckXZtPGE7m6Ffk44nVVpzF78mRbL7yUsvlVnM2ROqM+rdL0yGuK7CvVFM4qGDP/X+zFDPgXwW+pUrAD8BjP/fSL6PQC/SUR/HcCfAPiFN75Ckbq7s90ckCVsWoVLvMLrhFlhsXrOlOtQwq0niVEHCHHWUtJqNoF+J4iulbwbQcD1uCgvIpfnKhSumxB78IgZDILlV+Q8EAn3grnQHnQcI8a1PQ3WPeovq+f+eu771C6FMZNCO3KdT90eGcmjw3KZdEzKo+G0b5nz8kai17U22r9y2xRwu68v1i6KDAx4fbsYOt7F+e1cMZ+zvN7bCF07p+IG5I57yD/t/q0Rh4U7OQF3Pdw9qS5dVlH3d+6M4M+8XgPOJS4J3mwRnj5DYpCa8FIAgNd95WI+7ZsYqOsaPGtEw0gHeYTvfD5mtLbM2Akfhf/oo8yNsA/ePOKUyHDvhHtwTlZmSygr61l6h/joyd7Sf4aXAMTZajwU0xooo2OAVKel+srEH+0LtbwsTuO9tM22WRnJtk5AKjOdqOtHkZ5U2PjR06JoD+V+F0xZNrbcdfBf/YruU4SVi/KFFnnhOtMepkiSFUZWDauMNJhpgc+fjBenKQ+F9bloQ1xv4H7o+3NUh7RswrYbFY0GkAsgAQLIGxSY1/WI97VdnZhMXPtUsBmVB77zWJ7TIrpH3/Mp+HSeE/+0v6Mq6kUIns6XUmO3uI//y5PfxMvu0UGz9hHufZSjHOUgud1w7ylVHCCzdNtmBGdTA103LtsHwM1aWVmbJoczS5zFmRasMbThvBX1OIVEddVsm7yaVB40n4Nms4yzWK6EXNe4Hc2B+PF9ceCFmCnRvE9wb1ptsyNw2yHemQMRcEtZoeKduUCT2xrUFYS7SlzrPvloF2dREAIDgCtwFmRkt1OchXFzKg9H+NpHGV8QLNFJamakehVtBdcFcdjNjM+Rk+MzgZ+c3jdHiCdtdti1NZgEKu0mOItpijq3irN48RLDV+/rPj6ZRpJ4pbfytBKyWk2kkp1FnZe0bxpl9Q5nDWJFaJ/ImLj6K1fiLHi2i7Pwnz/Diz93H3PFWURPiI1DtQroz2RsnDkRmTPOotKs08Dwm4j1x7Lvybd6OH1mXJPD+HTytYSzsDFb/shHWH1cYfYigAwd0BD8OqfEG94kVoRqdX8HZxH/yfi9uUpu72RxFR9kDCOOCQCqemVsRCyIfPfRvKUXjaUOKK0lykHT3IYQR21JJLqJbr8Tl4dNSPYwGskMcz7nEEYVscoIh7vYygtijtPNIA+sqqVpwlJVmAsC3OTnKAiBAQGMCVw90xRaBIVNTdWclhTFebHMfggg5V5IYSXNKVj3knXa9Sk1O6WsewdemFcNyRc0qhSmzzI9e5mJfwu8jFSq1zaspXwjb7bwL3UiLup3lpOYXzpgkAJBrFEHGqLQ33sBbwWtEkYhon7VCX7EUsmfvcxkwBPafSKShakkDYYsFotvbVKkBs4h6qRSLa0KnKSM05CLF9mEG2sHtx1AQSZ5vx5ACjZzG4uGOFSPXopT+mKVxmz26A5c16Ja5/GiyKk0YlnCgD3J+PWDkPoCcl+6sVl6ldzeyWJPBCMJ0Tg3xEhjDJwU4qhEwIjDwaQuEqtiFA2iTCQLBa9DulYtE8t8hgQSizGVGkzHQTWVAqAESAQCjWoW622yaanrhXE5ItPlm0ahhXNTu7ZbyfcoygGm0OmkPCIgEyeqATSf57EDki8n1UbVMo58MgMuQ3BaWLmp5IGsq6JupksRDNMgkoMuRvCszSt15QTefOc0hQFxSeiU21r8Nf0gDFt6vDmf2bscCTip4Vdj8htJV5/LiwpkXgsAYVFJqNGCNlrO8LLQKReh0zSpdz26+80odBlrB+8Iw6mGTnsNnUbOpQAqArgWzaLx6O7JffDbmLk/UjIcEO6fgVsP73KYv7/bYvugBr/M2lWsCH5ziWahpQ1DETrlzw73lN/eyQIYO5hKKUlGbcUsK40DuRDRJZrFiCzXe3lJiRSLDCR+i3LSCkrLv97kGXsYgM0mQ8pNs1ht8vGGnRiKCago/IPIoNV2TNrSFQxZccxARf0AXq12NYu6GpH38GYjD3mJqrTJyFaeeqJZnK/HfS44GZKJprgFGkKCrNvfXFfZsWdRoBCBdTeKChEAenXxes2iqxK5sYWKR1pnkXVab3tQHyTk7rPZSts8diVq1l9IQSb7nV5dAJdoFobeHRVnhmhv7ZMCA6IZum7dj5Cw1pbKHM2tImKJdFHQUOq6T4uWwdC5cnAvlzuaRfN0DQqMSikOUzv7IJMTc8q+hXNwFxugH+Dr0nT8wmkWjBFgCsg3quDlTEIue4R18Iko4yH67rWaRapKbhNJXcuAG9hmLSp8WVWc9LiDNItZoy96XuVSESBgrFn0g6SXMyfzhZtagWaqWdjL1Pey2t6QZhEXszwx2QrrKKnxgOBFqJd09FFNUGXZGlXyss+qAdR2T/iZa2oWxllqoCxiHmk8YdHAr/tUEAjQiamtsylguSGBERcesXKp/ukbaxYPst0vk4WDrz2GkwkoK2TNItZOmbIifF+ldPbqIuNGEgTeub2axfbBHNsHFZqq0CxqAV+lFPUSlHVSv5VmcYyGHOUoRzlIbolmcYmU2kZp+3e5nif6Idew0LojIIe42QIcRe3eg7OwKlQAUsRASHCKIWHluUxJbJyzWU0mkPIUcXnxKuNwyoQ4xW2wI8AKSRHlCIBen5ZrUXVNsyrUdVpvEZ+/2I+ZKCpujXAWq/W4feUxNqYA3ONneZs5Nlkrf2nbvGlg/ZCdtzGbXEl7Mo1oCKBXebyp68UP8uxFrrdR4Cx4grNgw1k8eTne17AfqsF4c0jXVcYzMItJWAlhTooWhQC/7eCbOmcgP3txJc6CLsFZLP7oxRhn0dSgbZdMjpLlvCT5SYmC/YDquSb6mclU+ZxpXFfAk2cJZ2FjNqs8midz0ZYKaD0NQXw5IWZMCzSSNoRc/Yw5l6o8QG7vZOEmHBJF6JRmbb5pTQ0aBrEnixv92tDpqYROue/lhdAQYgJcreRlJS1uBACoKlDbjswQXq1Ai0UqtJxe7vt3d1LUufLiIyBJM0+2vUK4EQFnk8nJXPqoD1PKDl1vJXTq3G5uyMQM4YtVzg1RM2QnN8TMsecv5PPTB9nBaaHkgnkKUAfnEEF9SKFTCgwYu7eZckXpPHFwql9npn1pargDzRB++Qrx43u6j4VOefQyxLnUJ+XKjbJOqT9J/iDqc/QmLBrE1qN+4lJ7rmuGuMfPsfyh+2if6TPmJHTqVwOGMzVDlN1bHJzq66gpoSz9NqC7K+M4e7QVZ2zl4Cws7Ryw+KqYIc+Wacw2P/gR1h/VaF+GFMG61MHpCdU67JohF1+00Cnrf8WEEPVFCFooeFRHpB8S4tBBJgGKFcLjp+mU/v5deSlnBc1cUSMzXWsYxEveNkrOqzkJz1/A6WqcrtW2cGenwKzNuSGOxPa2a9gEYDUnY4H1rTyirrp+tckhwNWgTjkgPnoi1/rkI/D5RZqIrJBzfP4CzjnE+6egda6lCaJRXRIAcJXmhmw6xDOZLNxL88ZrbojmnAh8W14gwxKYY449pdRxQMJ+vtsofZtNhMK4TatNnsQKIV1tpfPShuHjM3h9WM0+j1qfJKXDz2v4VQfnKD3klkY+XTm7OzWaieuLCRjuNKgvJMGseZSfkTiXaIRFoPqv3E01SULtcm6I+kbCzKN+pXiKVgo5N85hc9/D9YpXsRR5ArYa4ajWMfkOLEXd9quXEbEWDgwAcOsBrkTrqqx+4C6GmcNsVsFrjs32XoXNfUK1JUCfwO7EoVnmid3OG2ogNBXa87pIUWeEP3g/uSE3K1OHZxn7L9X+Mrt0X2aqqcfAuIiv4Q2MDk8LKSdoduHYHF9LVs/EIRHEocfDMNJsSMlpRlXUy7oeRTFk3myTp9+yP2G1SFz+tOvxZgtaNxmzYfU9ONclATRqwiz0grYiGgRbafxTG5RN3b/a7FRRp0kVdURcWkWdN9v9VdQLsh67pq99apeZM6k+iZkWMYpqHjkV17HaHtMq6i2wt4q61yrqrvapDYD01dVZ3a8uFHcRGdRWKZphWaBuG+AVL+I6CbtSCJg/HtA8s2iIOLTddkiOykurqDtZ7V0fUanG4S7We6uo1y8X8GsvkQ+dSGdPexDXaJ/mycWvL6+iPpxIIpzf6Fjz9eqGHB2cRznKUQ6S26tZvK1YIaKphmJi2w1WrGo4vy7sPC3Mw6wgmohRIaAQ0znztlwEiEPMrFUcR8WBUnuinXdyHtt/WqCHeWxnM6sGUWhXygyW+p6cb4ZsCmOtzM5rxX8AwYfYPqVDMARt757VysYDyJmffcjtGiDaUTmmUAestbMs8KP7kM/Xckb3t0+GIGZ8WURKt6W+DBHkhXeCHBWFiQTQ5cpiRS4KliMy/DZmX0hBiWfoSNeFkc8HyJqF60IiQgYwvq+FGFIWQy4+5LoAv/EjRi+/HTN8mS+DohO0aGrIC3sAACAASURBVBfhrS2WKXygfHEmi6uKDl22f0FSAygWQ768eTtSeYHCI+/VGetoPGHcpJRtsL+n3xVINSoGZJma5d+A5oq8h3aXsncc9/TLfrtpsUsoYjVNbnA5z2XatvfRrkkbS9PrOsKVHp+gNtd7D27vZFFybu78VkwC9n0yMYyqiO0Z3ARGMmBUU2cHqh1fApjsWhZeLSuXWTq5NFj+b2vNlyjaX9T1EIh3hpyn7fbyai0SqiqJiFhIlUh4Ra0uCZC0g1FdEqBIny+QmlVVTKS0Uz0sIRyBvOo7l+t5AFKGwHw2TU6JFzRkh320B2k89Lucp4KztlcuvaTis7DoiJd3uOtT2/gSn0V/1qDec+3YeHg9zhftjfNGti2b1K7QChlwbDwyHwVnoFeRTCfkyQO6u1UiqoFpDFuHXqMhXDtEXc2jgbIq9VnUBN9FDDMFZT0rEhcLGRZ14h4tSzJs7/l8bQgxUVXwaiafRUPo5w6uqzAsNPoTsaPxXCW3drIY1QnJG+WjqAVi36lpEnsWgFxbxBVOTcv9CCGHGO2hX8xGfAPkXc5kLa5FVSU4Attv2wlac6UhyKDe8rMFHNG49mjBZFX1QyLX9SGm7V5zVlItkvlM2mjtXa6A+SzXJQEyI3lRlwSQ2iQpccmIghXjgMpLPRJj4NKQbX9/jsqyHU31rVyu5wGgv9Mk4toxYW8N32eW9VKCjgeA1O/+3gy1TUD2ULdeapYae9WihvcO1XqL/v5crylsVhR49LCvP6731sEIM4em8Qitw/xlHp/+/ly2qdOyu9ukmiSxJvjGULqMWDs5j0aTwszBCjFffI8HSMY3+hzlWH0kY1OvfWLuGuY6BpXs15w7+I7R6/bmxSIlkJWyeVhJFXUAlVZyX31aY/lVAlOeLPrTcd0QY+QKrUwYoaGCKYsRi7n+dXJrJ4t3KtOH923MkOk5pir9NVW7t75++fcV/cy1Kib7fGAX97g2SfFHIrh5r83R2h0soc2pup4jlEg1Si47z2Xj+pb9YcIbP787dUWueZpjNOQoRznKQXJrNYspLFk2RgB+DLkuiwntK0RkRYiABH2Gc2BDSmpxIHfuRjiLqOcEMLoWtU2GD0NwGrTeSiYgUYoE+OfnuziLoggQnS/hDdG4XKN6ouaCwa7Pl7lwkX7K9TrwxQqu8rsJX0URIwCCH9D9/LluW2nGrKb0p4iMakXNo4sdnAWcy8V/ANB6lnAWboqzuFjtxVnYeABI/aYYMyWck7R1b4lhmt7u1n2KmjSPpP7hZT4Lv5ntxVmw4iy49lJ4SaV5JCn2BkVvFk0qYBQWggaVdgooi18QvJHfNFUqWnT3j3q0T3dxFvW5mCaH4CzMnKuenO/FWSy+0yDWDtVFl5LGzr6xRXNRpwJHADAsLsdZdHcrtC8GDHM15wPgu8NxFrd2spg6OIkIPHVqlt+nDk4v4JrSZyEviOQ5JPBV+pQCwq91cHovE4WlnXsnfg67jsHuKw+yc5oY3FuvU/pHUgZqkapNXjlBfeYGtbZzXSVHYkIy+kkWaOWTA9IyPanyo4hIboMUI4q1BwbL98im1rSwsR1XgrKsdADvqbZr42Hf7TyJILly4n+wl9/8JeaTKDJcufaAEydoOVmE1sNtd68dGw/q9fgSmGeFkIv2xNqDPGOYeVQ2j9r4OoB7n87JFYFbjzCTWrDWXnYEsE8TAzFf6uCkyADlSQSV3+sgDq2FPv1o2zCjfCzEl1IS/Y4dnIRq5XK7CkqEQ+T2ThYTfAQnzITlBRQYg8TEPcY0MDMo7moozJw4Mdhm8a5XDEXGPmT8QnGtoNiARIAb9yM4t70gL8sK7IDkoUA1koITw1CE0V7Irpe2VUP6tLbzMMjqX/JhFNiEdD1bwcuVquul7TRGcFrfaN1lWLbhJRyNODWcd8U+Rf9sHPasjGk8ijFw6z7vG5wgRYkklVwfeEntVnyKoT17X+As8otSn7sEVR+PgyBFqfeZAwRI24yjwq17wVEERuUI3hyNQ0yTlnFMpNoefRBUpBVcdpCoUDdI8WioZmGThU5mpln4zQDXR8kfAeS+DrvPbLUchO1q3eeFKoqDt77IfXID53YDCQ4fa6f7DnC2GPD1mM1v72SxL3Rq0ZCiJGFZpnCkWVQVELqxZlFm5hm/g63OJ/NECwcAePUqJ1kV14IXtqu0Iocgq7eF5GwSOlsoH0ZBRtPWuZo55wxIAlJdD/rc5/bEIO1kTu2l1Ro0nyOezTOE21ictTyiObL8ea69Ek+Utk0zQVNWomWIPn8FZkZ4cAKnNTpTbkjlRrkh4WwGb6t8U5gh3QAXOWuAhaTxAFK/+/vz/JJVTor71h4UMvgpNh5uO8Bve4QHUjfkstyQ7YMGzYvdRzq0DvWFlCZsVtmkGx6cINYetU4gw50ZwlyqxQ8zn+ulsrzcYgZofkrrJZrxOOLiexssNHJiOR9+HbB9ION4dW5IBd9xMg3OVqd7c0O2D1uEGaF95hPYa/1pi9XHDqdNXqQkNySPQZkb0p8QYtWgX6hJGvHeq6gf5ShH+S6Q26VZlPUf9jFnkVDEcVmn45JEMt52wipVnr7LgCFL1c40cx6pzoheb28i2WotFdvNhFivRX1WPgxem8N0NebSAEblBXm5zslo63WqFBbsWst1KpWYSiZCtBxeryV7tC/ap3wTCUcBcWZS5YGuT05FbLaiJittYAJKraWKvH+23DFDyNEokYz6kDkgpg7O9XpEGpx+s/EAUr/rgk/BUuEN/2HPgvPioOXlCv6ZMmpX2QwpEZSuC2NiYJVKE9Z85RO7OQD4ZzW8UtUBQP20FoxJjHKMEfkqPR17D2eZt00FOHHcnn5zhvq5EfYimSF+Uzg4zQyp95sh5vPwLy72miHzz1thwXq1TXSMFBnVukH7LPe5UZ5Nk9IMCTOP6qJHUAAYRcB9KRyc70L0peDib4SwFzR0+DkLfAWQHaEFKvK9izks3eT6hgHxfowLKaIhJfflOylb9SZtt8+yjSkSo45A56ZFvW6kLWz5Kc4lPlZm/dthVOaAzbn9HiThKxyuAHG85hzTpl7zUf3SThZpkhgxH9nNZ1CCgxdRjYD91cPGJxatIj00VOQ0lNEYt5tvMYmAlJDx6UNH3omn3+DkEyg7Vz6HPbVdaWU2Mag7ZdueJhMbT/tbFdEQy7F2TolsM4emRTZG1dkiI+XITKWI6Fi/ufZ5FbWIhPcgKjRE71NyFiZRFKJxNCQ2HtTtvrxc52iIK/rLGmHJURonvhMH4eaMFmLU0GmVIw0yUch9D61DVbu0HY7gmJO2QIxLQ6cUvZ5DQ6dV5jqd9iE2Ds57WJJUbDQSU0TApOBy/rsMnYbGwTc+RWQkO27nUpfKl3aySDVQL2MIf+OsUwaXUYRoWac8dsa+j6zTOO7DDruTaQ6xvBaPt1t7okaT3nPWaTLFtP1k7U5hYR2zojQDFf14l1mnwrYt4+qoKDIUodEmzuUOyIoExfeTddoFjV5kYqDrZp2yl+uZYmI1UQ+V2ztZTKMhtmIFjFfxS3AWsqq7UR1SOJds9DdPJPOgus4ruNWr3HpdyZW+/cYTyZpx2FMxE9w2abWgEEUDAXLUQyMn7N2IKUso9en9JpItmrSwsfeq2nsdt4zpkBd3uPFEsjivEdsKFCLCrILf6LmVXpA9wW81utB6ob67qN9PItlpjdA4SZ8Pb5hItnAA440TyY7RkKMc5SgHya3SLIyduyy3l35ranDXwz98kCukQzEQHOWzPCZyquOZCuh8/JFwbg4BQQlq08q/zvF3AOChz/Dx4lp+sRCPv2kdzMB6k2HjWvU9fuvzTJFnfSBKldBi1+USeCGAlJXb+D75yVNp23qTP6ERnecvUj3M1FfvBPRVVn0nZaRmBj0XLlNerzOgLHL2m9y7I/U5/vizot9FdMpYtyEQ7wRmK0s7xigw+T1QfVpv0nhYv/3yTv7dHK/GHG7XNpW8rkB//JnuW/S7MIPabzZ7oeZOeVvJEUJxn935BchR4nv1keE1Dd0vZrlyveFYhpDIn72SPMd7p7jzT/80Q/JNw40BtWUQl5B/X2qpWv8mMtqidu6+8WvVNOPFDHEu553//jewaJoR5ylVHlyYouX1wvc8hHu5ytozs4C8DpRbNVlg8nLu/MZxf9GhPSKTiAMR53DpZisTymV+jEMkhhTGtbZyJeE2OJcrnd20cByRAe31tWgUwdCsANQJWSBTFcFF235c6e09CJfoz5IuX8O6APa+ODcm1h7z6yR2sZhQrBnVCpmsNoe/bO+kbV0/4lm9jlBQIFt5/DVehVs1WZT1OKht5cYYr4X+Fl69gv/0k7TS0mKOqCzYKfErBNB8Bl6tgcUcpMfG58/T+d2P/KAcrxXA4v3TUeFa983PQacnspooyzct5vLiPbyf+SyevQQ/uJu5Gl6dSzv//I/AX2zFSWa/zSr09wS92DxZIZyKJlW9WGPzVUFwzv9AVs/wtY/gXizBJzO48zWioh7d42fgTx9I9S0rxmtOynmTOB8AoHl0IWjHdZfQj/6ZJlIZn4X5KHTVXv1rP4pqWTj8gMRs7RV3sL1Xo3kpBXzN1gaAahNQP1vn5LACMdt/z114ZcYe7sg1h3mF5oXC3I0fY+bhNyHRyPWnNeqLHtVnz7D8C39W9yFQEGhzLOzz1ccO82dxJ407VkBzHhFawsk35H4TA+ffu0BoCWdfl22be4KSpAHgCvCbIseiIvSnDu2LkNoAAKf/zwv88b///Tj9pkVJgFgD9QVj/bH0qVpxClv2J/o8VzJP10u5TndXtj/8gz5R+ScoNgEX39OgPyHc+caQxuzzf+OHsPxexuk3cl/7U6B5xal8YWg1CjMDaACaV3fR3VHo+gB0v3E4ocWtmiyuklG90nKlNBVvmgMySPEhGnIRotE5DDg0aInA7TDOlQAw4q60dgyDsGrbC6p5GqnWqZk8q15emqHIAiWCX2VgU2KPHgL8JoxgDtRrLQjNuEyAKCKgD3CrLmeHFqtvVcKvNx0weNC2yxBuA1wNfnSctbtahgTqsVqcPMS0KgFAvXQycUTODxADbht2Ct6YluDWQ4ouOJ10qsC57IAlugWG2wwJeFQRyT59j3qpuSmDwb3Hk0X7klAt4xgPAQAEVKsAGlyOxARGvQyg6BL4qrro4TopBRC9G1cY9wQKVSKesYQu2nRonwPtucLTvYQpjeIfAKqN8GOAAa+Kcaxlsqg2gN9yuvd+E+W6RDlS5AjtywjfO2mjjln7gjEsCM05Jw3B9UC9VO2RkchtQiO/NUs2HzxckAnjUDk6OI9ylKMcJF8YzeJK2RMuy6vbfqOMprFsY5Cebi/PvW8fw3NM2iDhv/F2ilGL5MpxZXVtCjwG45gKOuXZZBZbeShs6nIlH4q2xShp5rG4lu1Lcaw5Ga5hKBisAwOOQXAgF1PM3vUSvqPA4MGl4ynsjoNAyvVfwk7oeVBcS8X1NMYSaMEhDhGkNS7IR7ggK2e52rmB4QKLy6vEEug1XR8zroAZNDBcn9vlrKp5ZDi9V7kbTrJDbZtpLjHCd5xg02RFxHo5t31np4u9WW3qK3I9w/eM0OvfIWrqeMZI2Jj7TtpoY+N7VlxF1kzYE3wvp5dtdg7Zz3cRXsOpLhQ/HyC3drIQBOblPRlBtks0JYCD4LBTWrwEey681d4BA+Vt12VVtvMWkOaS3s5UZfIOIIBB2VOtcOLpOci5XdTlu5Y0NpzbXLSdE/Izpjg9BeTx93kCQQG3t/4yFfteR6zbjiSNB8rBOVkQhFy3iFbFYptuZ+iYe7oW1mCfsANQjo0jjOxZ86Ew5zHQyQOkbUuPriJsPYGNtPiS+80k5zETJ20jPa9dG8AOpd4byK2dLK6UEvqc+BEno5FyOPaPUqqFaRssnbwMiRrBb7laGlzaFZNKCf+281cKby5rnXpKZfpkMsrHJOZou5YbH5snQn0BPaVkttExVTk2OQ/ErptCjXb+sh/abjaUIjRt3DspT2h+y5rgOqS8DRtIDrQ7XuV4WHNtcnQEVxn8WcPItRetAUh/U+XgvEO08KInmT+DfrcixTUlsFNawSPJxNtjPCk4BUb5ou9eCWbUZ1Gu7FyRckIYfDovILGm5J+IFSFWBq/WZyzq5BAJobF+2YlFk4m6nR0p0RONnt1YO4TGZZi59beRa5pmERsgdnI/wECwdtVyk0LvUrs4ANfJD/nCTBYjtu+SZMbyA6YcCt6L9mGfGB+XV3B9mXS/9FLtSwrT83Fd5eMnf9u1QlOJk9KOAxTf7+VFqTK7Em0E9y9FV/NLS07zESjzUpBOFNxUOePTxqapR2zbrtZ9Yky8E1wwdcFRRmC6HI0wM4GcOjgryV1wTp14jUPs1RHYFBMWywtJ5hdMGgYJBV2Zg+Eg9UQ3uX4pAEQr46dqeWw9XC/jG2aGnlR278jykuqL0i8IvnO62o4nVylKnF80oft3GIptw1zyJmJwYD9WULlyGBYOzpiyLMejrtCfIrFzx4oQa8AFh+GkmEg9IOhJez7ydnbldnkO2AFOVSl2hGHh0C8Iw9zDbSvtL9CfMYYXuZ3DCcnkpGZIioY04swkBvozncSGwiw6QG73ZFG83Dz1Pfg9vTRyHI/MlFVETv5/9t4t1JYlyw4bMx6Za639OK/7qGer1K3qbkktIxph/9mN/SVbphECYf1IMsLtDwn/+MOyftoYGvThBwaBoI2F3B+WrD8LIVnYBiMQCKkwLbW7bZWa7qq6t+r2veexn+uVmRHTH3POiMi197lnn3Prls8tdsA5a+1cuTIiY2VGRow55hizY7RRDhJT39mT3ZK1piRCOoBc/Ls0d/k2r1OLuNj61zw7m9lBWTdbtcXdChpt4Eojb8hJxSgIKG2hYaoKWA2d3eT6ARQXdxqnEs6sfqUs37NUe/MW3dd8DcosF90EGSisa8wfM9X+Ku0HSviZRpmWE9FckYkZSIBPqbSrnU200RC397JPSkVNCgSYAzkRSt+EnWAHORJYH7WUdZ2fFDuwASwnkA44VsI2CaVCZxYWKgYADhlMAWGroVNryjghbIGwl+PkCZhA8APDb1n7VOTr2nOkpNjIBPgByBqmbbEHaD+zA8JGgJiwrX0WdoDfzDELEMPvbCaDcp3SJJGYuOGyJHEJdWC/Q7mPhtyX+3Jf7lTe7plFU9plyEzbQJcP5B3YntqZgb4XPkRs3cabJ4WZ6yhfIi+joO46XZ9hGXt7pBIoRvBqUZYFbrtDXi3gjCSm26cjSxKrPIu0jBhPIpiAxZCQyj4Z05EHGOgaxyu3HUXObj+J2ApUjq8LyH0oyL49hfOiw3haE8Fouyhp2elkUdsDaOp3QtYEM1Pp3j+MiGtFy0dh+8na2JUZxXDq0V3JmnlaWRq2pHH7bahkrgIyEtIqlBlAWkldqXP1SWqyc8uA0NQ1nkTAEdxFh/FUvjcZKSsxUqzr9e0TxVgczTIr2QFxnZE6QnduSzaP8cRjXFFZ+gwnsRC+2KO4jQNyruNRBUONlNV9ssD2fUbYWoKYGPuwd9i9K/uEjbaHCdORHq+TWVfYAH4HDJIlgKPfc5LT12iTsAO273iMR4Sw6dBrm7bvEHZfTvCDL7O+6UgIWHUZAu1r4VlMl4RBWfYuNdjJHcrbO1iYc5iWdgnBOdclSs4y9U+5WZokYBx0iTDcSspyQ8P7d06EWA8BRedK3kWpexxFgcrW3+MIt9mJFQBQ6vLrEbSbZpmRbicirkxy0/qtLk+Y4bdZMjltEBoSWFOdZSlRdR9oyvDDrsjxl9yXlItTGABpVxBSlmlmmsIVaTZuyR7V5Ul3MZXpt2lcugHIY71xuiuIwe5YAWHKLEuYYaoDri4bmAi+IWX5bQIc4DcT/JVJ6PvynXYZgszw6z2wHxCvLeW76kq4rmIkCw/0lzIoGOBIiUto0/dUQ6oDI14nMPmSXt6fDYLN3LoMIfhdQHcpv7NhQ26zw+IpFWYne8K4lHaYFmnQZQglxrSug40s3WR5YBiN32VRzlITY0AwouWzhLhx6M+G0mfLZ0ukpUd/XklZYUPorrksQ1pA1e+ElBU2pNcLCkHrLuXtHSyMh39bNMPW29CBw/QebNuB6vOtpWWAmuN6angKKcmMJOfCzqRJu+su3HyTrEu54g0OAAd5EiorEhD8wY2KmYyVPSkzo6C4ifGF5ab7rOG+lxVSHgcAbZ8MzC7VtPEcCX7MylMwnoZgGZQYMAao3fApg3JXZhyUJK/ldWToa3vQ8DYAjKhYSrbBAUW3h5gFt0gMjJh5gVASjoOdQwsOA7eHG2/b5qZaH0j4Dy5xbUOSDiJu2mo8kcn4IXqsUQZhkbxLpa35ONysnwWLoKnFOhSHYdJzrxGZz1re3sHiIAQ3W4Y03hSmuE2h8dEAXh0NsajAKHRv7gKQGNybkpVEOYgZlBrti1HVrl4VDemDGvzWpy93AWkhx3JDqhfnFDEdBfmRdVDIiyAErujhpupZSsEjL4JEKT6HaMi08OWi4MkVkRaJ1kj/TitRd3JjrssQJRK5TaghYX1aIrGctw5CaREkEkB4rWjItFSdUl0qEM+XIeMRwU1Ow5d1xuN0WZE6h7COenxp+3DksNDfJPXujaIhwymKB2oOsgwAuxJ14FABR8sNSb0uEwYgbFHyNaYjD97LOfhQIywWDZHcGY2GHBOGB4y4rhEhW4KICleNhuROZjCfJRpyD3Del/tyX+5U3t6ZRX7FvKmhOLOFPFuK96tGzJZGrf+IuWbH53rMIgd3G638VXVkCBNS/yZj8bVhtKxU6pZ+nXUZwwckJ50+c/h8liHSztp+MuIO19AosU11UUOPrMsA5hLyQ7s/1/AeNZyM1yml/22KnSRMXsKGrOFUW3ZAp982/W8p9ko/tyXNZypc20ZM2g9o+nG+r+yH0mdo9qVkSyQ0y8FPqbc9x9IWO79533zW8vYOFsA8Rb0FOFtty1b34DZHspfxLKa6nkbmki1Zliys8mWt/mXKVUfzVTyL/SQX5pQaCnmSjEvVdzSJNpqyZnGiXiBjLhgKTUmyT4GS/0FNJuoPk2cRdqlkhZLqOHCSaW7hUQQB/2jiGnWwNXaTT0FmUZAyaMhN1qkwXonwWjwLv2vwkWw3VR1w4oaKoU+hoeug5ncZlFzJ7aApw+8YwVfw2JMNNLdlnQrPwu8MR6h9HK+BoJyKHIRDEbYs2Z+oWafCe9DuH+Q83GgAqFYziDsZeSoAJwcqPAu/qzyLuGbEC0JYNwNxku1mjVgyTLvPzrN4OwYL1bacpZmrwpM7lThPevasftb6g+gNjGkCHYsmBO8H8HotA8Yw3iqqU9K7J3Hoou2+3FgAgKOVYBZTEs1NAK0viBHAeLsDyNXtdpFf7crNWkrwCBpKFTNlvYGHEeGMJIfBdDmZGxXsUAc35+Tm3+yqQpKeF+2H6g8CgK83gu9M4hQm7d3W9nMuKetZQdz4YlsjLw2NvJ0F+K24k1FiwSisvQ3JTL5vBKgMvxnqTQmJkLj1rtg22kOhGDDboLnZi/XhZov4Qvo4mnlyIaxp924i/GYsCtt2DmQPg5noCyOsJ0nEUgEbf76pKl2H4sfeIXShusCZ0vjVGg++M6F/of4nTmjhfjchNviIfIiq7h3qAOz3Gbt3ovatkOLYUVWxcg7hfA/uvfi6aJ+dfHiEuI3oz+tvngMVPQwwygw0B0LYiPyA4WYWKbpreTsGi9vKq5K2jMnoXQm7FfHdlJBTkpmEvR4Wm+57r2HaDPjK/ScAvIgSkfAqFBtUA0INhQDI32P1HbW6WrXumcx/Yx9YMkkVZKScwQuVFiQCrzoJRTYGP7zoxDx3t2+c4vU43MyMAAkfZ5GUK5aCFjJ2JEusA0UqGuqNKv3jynKkgKzGR9lNFcy0pYdDEfUxvQ4zNLIQcvEz3e6r8ZD1uyp5l6VfzuL7OtXZBgN1OedR+tEp+9RyPKytfj0IpZsZ6bir+2ZGdq4KHp1dl/O1GVEpjkRA2aT2bCAfB7ghl1mIJaa5IcFvjVpeZzMGkE5LD78XurwbM7xyecwcOsU6C8q9R/zBBbAPsz7zO+VY5Bp5CeqbajMLtmxWTwgXe7j9CNrX6+02JfGXlXuA877cl/typ/L2ziw+DeBswExWN3DzwQDq+vtOxzc9Cu9lbU11Ck5jmmlS6MzubsWOm7myQUtqtzxBy3sTzm29RByAhBp+NQuDcZrJ3//Qy6E6mM08vAPpQ5U9CQaR0iw8Sqp7WmYUeyFf0TjJtD0355ZfH6Ct+SU6C7Lt9vso8Wnmm6G/X9HHMDxmTLIUarCUNy1urH1GkJmCWBUYyGrgZ4NpaV6Nm6o2iBxLrhmfUTGelwGwmVUPIxcsRPKMMiyb9Yc5H3h7B4vXvSFeVx/Bjm8g321EK0sTfg1b+ju367b6dGlQPr8t+vKGYq2vVdo0/aY+flXdN2QCDrY1uh6fuX3WNoei+3BrO17V/4dtfKP2zP8UvY67f52JcEP/om3XS8+hfp9cvVZYM6aLtgVerz0vK68cLIjobwD4EwA+Yeaf022PAfzPAL4B4DsA/jQzn5EsmP87AP8ugA2AP8/M/9erm8HzSAYgN3Hm29W8W8XnnGqI0wC/u6hUt2zPdrtdeMMoehHDePtN+6piDNQGqATsKSNPIrJfsFHgKgCrDRy5icoA8+jK51Ea1S/KjfwQUxMpUr2FhtVJxoDNuRolHUZrytMXb3aDFnzFQtAAEdftWWeXmUCmWp54Fr6mZmbhmJEpfOaZhbFBAYCRRdcz1dlvmRFZKNy+o5c9caOqpc5jnPmV7ZJwO2p2s21PGQzVGzUg/jOdoZS7zCz+JoC/BuDXmm1/GcD/wcx/lYj+sv79nwH44wC+qf/+DQB/XV/frLQjautQFht/iCBsRnRxxrNwfS/XiL4CqF4XAPh4JYfdzWXFLQAAIABJREFUqlP50VJ+TANJh1FAohCKvD95BzpaiZK43bBX16CTY+DqWvZhUc9Oj0/hdsNMUIdjQD7uJIHoYlv8H9xmwPT4CGBG/IEokOejHm69F8BzOwBBE98u1+BFD+piyfMwkIr7iHSyKufoz640N2QE63ZTM7dlT4m+aDRn/MqDGSUakFBpbnw+0ypIrkfuKrLODBok6lEu3AbYTY9Wkn8DIK06gAA66YtCual7c6eRFl02pFUn4sQAhvck2pU7V+jSLd9kOPWIV0nVpuyHBoAF/C6DAyFe2nXjsH+yQOoJKwMnTxcitpM1pby5Wdk7TEuPqIK9xjjtAJx9s8fRx8qQ9YQUCXHdY/dIXcZ2CjiyJMEBQNIAW9gz/J6xeyQNfgAUgNI1Qkn7d55gWjqsPlqUPrv8yRXWX3JYfexLRGhaUAmPEs/Fb/x+gW6dMRxprlIC0vfuTuF85WDBzP+IiL5xsPkXAfyCvv8fAfyfkMHiFwH8GsvC7J8Q0UMi+jIzf3TnFrWlXau1M48DMyEAcsN09cRZzW64Nb1pQ6f7JhPVe4l68C1Cfu36PbOEYt2+oPc8jKDdXrbb8QC4zb6GTptpvbuGXMjjVGeGUxI18Fb7ovAikrRhbJ4c4yQhz51ZH9TIwcxTYrcX2vow1vY20QdOuVgKmgGQv6whTos4kEM1QtbtpNqYaNbjNIq6d8FUGizJbce6Bt9NgINss8Q2i5SU0KliDEnCuzwOCGu9UYeqYtVGlZAZYZvAoVHwYhTNUHY00xcN60kUv61dmwFOrRHhafZkZ+fg9qEoazszI97tsTjL6C40WuXFgDhupqrtOerNmxhBrRNyR4V85Yb6QCmh0yaRLQeH7sUOoQ/wl7vSZ/1ZQg6E/jKXqUPYCtfEBgujvXMA/DZL+HTbKKlPd59zvOl89v1mAPg9AO/r+68C+KDZ70Pddl/uy335gpfPDHAyMxPRay+JiOiXAPwSACywugESFXCx/N0sQ0JNSiLv5EnmXVkrl+VDSuUVwGymUoyCASFbLTqZOdgyZLMT4DP48vSFdzL9X/RlGULjCCx6eQXKkiWvemEqKn8DEJ5CWkm9PgNsSWVbQjru5ElzLaQp7qOstYOoZNUU7hG8iNIW65pmGZKPq8mQHydZhjgHVpOiEm3xsqYtyxDT4TjtGgYnNxqc9Qkuy5BUDIQBXXfvXSFcyYnJ70jQ5YRmo+aVaHpw9IWVzy9ZhuRVB+cdsN5iPFED485V35BYn3fDqUe+0uQ387dWpqfbS9q3pZgjM8aTgLRwiNe6JljGVy9Div6lLkMuemyfOPhRE+K8aG9yoLIM8fvK4LRlSO6AwuDcOeweyfbuMkiKeqhLqeydSAAuHdyYSp/tHnts3iMAVc8idcJktdCdpeqnKPV0azdbhuTXSBt405nFx0T0ZQDQ1090+/cBfL3Z72u67UZh5l9l5j/GzH8sUn/bLncrBWH/HEC/Qx3O1wHlDM2+Dclu0e5ZtAE33t+IQPwooiFtMaXqw+61vwlNDJMK4WqG5lNzDIcbjmFvWmZovxVqXgk1c9TSBuhmP7O1+01Le4zDeu/4/Xl77H1zzE+t++axuHnl9jf6DOVNZxZ/F8CfA/BX9fV/abb/JSL62xBg8+JOeAXrf83anjUKki7F0LfYGcYgWIRFSbwreSHpWWNP+OSxXK+rZc0z6Hv13ahrROiMAEdLgJs1/Nk5aL+XHB+zLxyXoNUKfLIqT0KXMvKDIzgFT+0aSdED23HOkIu+pGCHKSOvrA2T0qkJ+OS5nFYXxRrx9Bh0eQ2cKpX9xTmoi5jePamCNkplbu0RAcEwOHq47VhsDaOxRqMHjQnZZjrrU3DOolTV+HoAMlNL0cFrP6bOwW+muYS9Km7PKNxNoZO+AJzGmNw/6cuTmoMDSDQlLO8EAKajgHAdEMepiAOLxSDBTWIFYPPF4Zjgh8PBFRhOPPrzhNwT4nercfT4oINLLKAsgM3XT0r6e46y9reSA2FaUmnDtJT2uv0DDA8I3SWV/dgDlB32akkY15IzIuej+3nBEboLOYfiXratjnBtOfuZI0wrgHiBqApr+wcOw0NGd1H3G05pNlAVwd4e2L5L6M+ppMNTQlEVv0u5S+j0b0HAzHeI6EMAvwwZJP4OEf0FAN8F8Kd1978PCZv+NiR0+h/evSnzcitF28pQHc5J39Mw3m5xeJvxDVAuaFO4os1utmTIJn4DzOpC38t3DemfJtBunPm0AqhAVDtY5IygQB5tdmU6Sds9woW2R49j6luSQzKW9uZpgtvu4a+7mqegg59jRnSu3MCSgMXAOMErOEi7AZb3QCnfmDB05/tqKWhEpiAq3AV0ZRS1JtNWsPpaOvKt/YGaEByDK+1CkHa7QUlKjVCO20+glKsvajT7wjz31KAO3flN6afQO8TrUb63qS7q3blGP9ayrbtYIA1etC4WHmFnwLgMhmHrin2h33tVPMs4+gFj+awCnOxJlmmqWRe2uSyLJlUoz172jWsxKZquZbtRsg/L8vkCaU2Il6lQy48+FvvFo0/qcimuHbp1veaSDbBRtDQW54xg6UEZP1ylLGb+My/56N+5ZV8G8BfvXv19uS/35YtS3l4G50GZOZS1OMDLzIRIAc9G+LSwMV2TlVg+UwCvZY4eHlOPxd7VmYWBoMaa013N92M2q2lNgFzjYeGobm/b07a/ba+aBlGZ3ch2Dm4G+JX6Uq23uJwFL0ssA06dAKmtv4cV9n5m/sOh+pgY0AcohdnRrZKG2foDDZgZaruyLkOEN1G/z9GpYtfc4Ee0Q92MZyHam7fUreZAObrZ75vDfFuOolDF5JA7Qk6GMLL2bfWVyVH8SeDFOMjq5SAgJ02ucCkoNUK/XbMM8SiKYLYvggOnW86hE/5GjgTK1gZCWlCZPdjx09j8HZvtPSFFLiK+5i9y1/KFGSzeqJi7U3OB0GcF1m4BPc0bo3z+oy5Esnw6aIPYDIpzWWubONuvAICfIyv0ZaUF5wiKgWibuJ7DzAHuc26PWQ2anKBtLjhACxw2Tm+fd+GDtr3RMTxu9PnrlLd2sJg5kFkpXpqNrmartXnbjOOglJTsVosSQgYSj8lGS/NAV9N0KxH8zCEMmlYMogKYFsew1iip0ch0Mcx0MW17aMhJrb5n1dt0wgTtKk2ZpCHy9Gs0OH2QpyYTFVCx6DB4LzeBzSIU+G0dyYoOZgPMAiLXb8rd+UDk1pnA8GG/Nw5qdt6p9zOBFyZC6h38ILMGQMOkk4RkTYPTdDJpyrObdVw5hN3Nm3daiHZm7l3tRwBpodtUIiD1TvadWJ3FdLDI8hSf+qrBmRbqfEaE8YQwXdoMSWYWgGhkApjZKY4KanNA2SYamyh94m/B2KaFAKxxTUWEdzgWWf/xvF5j40nVJJXj2SshLaR+A1nN8uCu5a0dLD4V4GzUr0wJi27TrTgMp5KTXAJHVR/CwMtxqvkoALIeE8CsrgIOHgipmKVAcUUzx7A2j6VRsjpUryqy8212aaPCVdqrClnF8czqJ824HJrRtVEVL/yKSRLniLKqbpsQgojw+l0qfIgSRbLBQ7eHzpX3bXG7W87Zur5xULPzbt3PhNIpSlEmgQcY+1Lya1o3MKeu6hzq+caNg9+2TxctubqNUUP597skPAwFst2Q4TVzNXWNjGAGHBiBc/md2JZMjhCvWJWs6jIkbDLitUY4dtwod2mTdBkS1yJAYwOA2SkclrCXXBI3VKWr7poxXgq92woTZn8XpazBIjwAe7ue8QVUyrprMZm9mQ0hz1/b7YfJae1nubnRgJr41Wqm33pMReFdTXEviTwNNVyo0PmgrbmqSeU804Ms29v2WCo+H7Q3cz0+UCMuWSnKRZiHi+UAtcdv0/PbAaekTKd6DlrcSM32OpDa7APQwaXRLG1L294S6Zh4VkdJ12z0PgFNpGvS991IJRrS4ht+mNtDlsPqYOlGmv1Gbqp0dEAGRdY2+ZEKFZoSIzPBZZSQrhszMhyQxXrA6uVMIA+V9PelXXaD2pKYNBriB9bPtR+nPO+T0v8ySLgxl5mDGxl+xzoT0z6IbvZ3myTj9wQ/MvK+DlyvQ6f8/2Ghel/uy335Ipa3dmZxK2ZhJQaQ0qrL+xhuYhaHMwPOFbNQmjMGXUf3XUkqAxSLKBmotS5A8IRCC1esoEQQWJOdVp0a8zSU4UVfLAvdpiuEKDeMZXswDKXvgG0QOvYQCi0b3kt26TLC25PaIjHRI61iAa7cdgS8YAHm2O7ML0TtCwuWoW0djyOCLrGM7myYhdvLvuNJzfBtMQu396KZeYv4ULL+0L4BhHBVqOrRaTtVPAaWdaqmTMwYj6PW6WQKfYBZ7B76W5W6C7ehd4h9ZSGNxxG5dwhnsrCfluLU7kaJMJCuBiRKJHiKPYnTQgBQOmPsnhCC+Z/oMiR2VCjcofcvxSxS5+D3KJjF6ihWqcKmDMcO05IQdl4c3QDsHolFYmhsFofTirUAc8xiWgF+f0DKeo0R4K0dLD4VsxiniiPoexqnG6QsADIlbnI7rFjWaXEb22s6udcbpBHvbesqmhPNcoFGyW5tcQy3Geoxm+LXvtTnLL9kP1Zykk3194Mccz+WVzmfJPtvBtDelLqVlAXAt+doAGhKVb1qnNRKT1TDZ1mqAOL1eIOURcHBjZWUBUdiKQiIAZDVN2h7h5tMn9IfQDnvcB1Ku3iScDZNTm39tG6G7MNc08P3t5OyFpEQL2/BUvZKytr70gY717z3ICWRxfUSbvKy1GAUjIQyI3uCG7iQstzokYNksS6e8yzr1EhZ7G+SsgyAvUHKUqV3vx5vJWX1lxlhL6K7ps25OMvIwWFxXh9IbnwZKYsxDITukusgmAF3B+kXK2/VYFH8Qw9l/QGYqK7re+R9VcbOAHic5DnUfmeadHaR6o3d9yr9xuALoZFb4lcBN21GY8fU91aXn5bC2rS2DiNovRVRWUegTsV9n56Bx2E+u4kBfq2JYtstYO/3e3gdtJK2h88vVJR3kjbawDUM4ItLuHbmZAI7w4jQUq1zVm/UBG+DzXojfAf1ki2An86Uwvdf1IiOYQTeqeyg4hQXHWA3XcvJSAm82d5gswIafjQNEj3vOE51ZuGlTR4oWhvl3PRf+P4LrdNVHKeZTYYXi1up5qbpAe/A55UbHUykWbVIYhcRVLcjNPR0S1lH4jrYxAAOIhb96Dcv4S6VFmkcnnFC/4k81ltlcZvJsRNAl/ZpNsNzT8/Bt0STVl0ouIbte/IvL7D6QY9wsS375T7OBpvCafEe+/dX6F7syiwTQLVXuEN5qwaL9iJzi0VdMqDe1OnyEuFL74N3qoOwXCJfr0GrZVHV4pSBEMCbLWhVTzE/f1GP/9M/Ka/rLUCE/OAISFx+CP/hJ6DjFTClIp9PRytgP4BPj0sIkl5cgI+WVVJfB6Hp538a4XoQ4FIfftxHDA9kMOnOdiUDNVzusP3SEYiB5f+jTuFffgR/sZXs1esteCUXnn92gfzuQ6RFKCIoJlnPy67kgABA98m1nM92QHos9t3+hZCxELyc21Kzb39X8v3W/+bPIq7Nb5UBJ1mPaVGNesfTgHgt0RgLZxIz/C4jvthVILQBT4f3joseRZs9ahRumyFMS4+wrVGS8TgiXo8I33+Bq5//ilwDvYQ3KfMsa3L7xGFxJhmeXHE9sAO6dUbqHI6+/1gvBsb2ywuMS8Lpd1T4x1zUJ1km+F1NcMyBMB459BcakdHs0eNvn+M7f+odHH9wqvsJAaq7YmyLi7oAmJS52BfmCIDEutDvuCwNnvzWKfz+QHvDETbvBoxHhNPvTaXPPvq3H+P664yjD48aC0eguwQs67QuQyQy0l2GUpebgPHbd4ct7wHO+3Jf7sudyls1s5gVnSbfWryvHAolZZFzhWotgJ/Rp28fD4sHhpKpOHoQZXBDFxYDG26OpUSt4Ov3vbw/pEjnTvdpWJK5842hri8ZjBzkyU0ZdRkUvUy3jVjV0ME5Kv3a2tCck5nY2N+SXeoLLdsbKSsqKav0g9KOFwQ32bllwJFoNPSuVDQtCE7VquwJK8QDSQ6r80FzJGPkziEPlWhldRVD5FhByJQbQljvkPfSF3Zu04LEuTyRPKG1wmlFGHfALEWcBUh0k8O0qHRwSoyp10zSWNvTkrKAOkW3rNOgYUcDTTl6jMeMSSd0OQr9200VtASUlMWE6Uh7pmeU1HZHmI5UK6SXxrMHnBH0nNQ9rWjWZ+MRkE4nTKtYZfWOGS5RldXra31uJLiptoEmvFYq/ds7WHyanP9tUvWvK6rbKnY36+IbcefD4xZx3YYPYXL9TXEmQZ8bAr7KqJnEWkHuMySm31Z1eF55/hnlA46EntNMJi0x4Ljuf7Dv7Dy0mNemnIN4vxJp+3Kzj7bfSD3iG6pt43nfkvImbkjjT9TUpZGSJHkfZR9rD9dzk4FC2+eo4R1IO9lR6UvT86XM+r3aDy7psQzAnuT7hV/RQC8Ost22ucbPVeotJywWA1Pd5kaF07iSpEx9201a71gjFHLu1FB+pO1ulH1Ln40ADU7qsT4YSOrTwcIGAybZ7kYhaEmfvx7P4u0dLD5tZvGyUmYRDUD6EmIWtTejMwFYrjfTYQKaFVPhbrQ3qFHELiVxvSFNV1P9K8jR/AYGACPIlOPqe7uQ7fi6jVr2ZaPBSc3NT6p0PfMjsX1Vnbscwy7AqSFEMUDgatZrXVMUvZsbrbmpTUim0NB1/VzapQpcUlfD4IREYKjZTpOpmzeDTSK4xKqCVS94mmQAyI02Cqlbl1MpU5vllZuOqQyCbmKw3byYD7wZVAYjAOASURCyVyFrwWYyDXtyYrDWY9uYpH9sUGnDtK0xtW6FG7nUX8lpAI10MFjo4OSkb+pgoQPFyGVgar93l/L2DhaQC5oPb0IAs6xRe99mZvIdliFGv3WuysalmhhUEtBcmy1peSiuMvF0v8MENcuoZKDEzVtbvRx9UbR2UbIcKen5aPsEbXdSny1Dgi8ZmJUNqBfwgScpO9mHmozNIvHnHMhXS0FbhuRABTR02o6s4ix2iikSXEfAWNWjyUOzK93cwd4BRKyZqk3GJuk5WnuKsKxTCnddopl3qbUrR6g9H2bLEMnMFJCR7crOsp+LukTQ/nek+R9Nxqidu4N8Rs3dwUHqKm2w9jqHtOAiIiN8DMn2TLqNJhPEqdvSQgbfpK7r9v0UCdVhvslk1YzT3PZjD+RlluWZTXQWQNrrYMG1vqzLETlO/W1eJ5nsrR4sbh0obu70w6gIgIzqxtXgZmnS+mh8luPPvB2aJ4g9/aiti1GXRe2M5y5uaz/MkllnQs0sgmUmIdtQ29u0W96zGADdev6v9VCbF7ZZzbwN7bGR5vuW97aUsv7P9bzeuGg7brw/bBMf/k039iVrI9XlHL8sj7w55u2/w2uexyvKfTTkvtyX+3Kn8vbOLFQjoswuLNowTUIgUlQaMchSo4vFRwMAqO+A/b68Aqgq30Bx+qa9kLem4w5uzDVVXEVuOIbC8GPvQMsF8vGi0qc3C6QHC7iNqmevReNx/0ho127IBd+cjgJ2jz1AgN9HDA9V3XvMogTNwJHO9cfjAL92mI4i4n6squBEyMuA4TTCWAAmszaedNi+a3NMwO8WSL1HvHLYP+5m++bOww2pcB76D+V1865Df2FrWun7HAnjihB28vf2icNCp9XGGwCLqnTYxKoObsvCTBhOfcFFhlPpu+GYAJJ6TRRmXDnJHh1k391Dj0UkhBcLbJ9oNGRFCvYxclefuuuvyvKBHdr8KeQA9OfAtCQsn+sUPjts33EYj4FRDYI273k9NkuGZpO9mSOwf0ilnZPStlcfLYDfv8FmONL9GKmTyMrmJzRL98IjR112PFDZxD6BPGN/3iFce0yPBczYfRjFJMhVgJQdcP1VwnjKCFtf+mz9Ewnf+ObH+O745dJOPBwwPBcTJzCQV4r9rCbw6DA8i5jeUeBkdMj93acfb+9gwTxfhrRgp9Kuy3vOhZgEQDIflS4Nez04hl8rpVnpz2E9aoamMgqZJRW9pZZPCRhGuPUeNOjgtR/gr/eF0Wh1dReie0kHdO+F6jaEzVjAJ78d0V9GnRbL/mGTgCnDb8Scxxc2YYbbTugypF6g0Loj8ywvwF/v4fYebjOgO9eBSWnaNIhgrwn4msPb8kVGWNcsTEDW4X5wcHoDMwn9WExqFPNgoTX7TT3n1rYvXqVCn85XEob1AxXNTMMNwk7SzC2LkzIjXoq25+JMjjfuNGqRGoUpbefixU1SFkhSwcN2TuFenHn4gQoJbfkCmDY1dBoadmMOBL+v1Opp40of8wcPsVB9e1bMQoR4lRW7UQwiA9OVDo4aOu2uCX4PDIOcSH8p9G9QBT3ZA6uPCeOasHwxlT5b/mCJ7/TvYfVxxSzGdY/+vA2dWljYww2E7gIYNkrEmwA6FDj+lPL2DhaHM4uDz3AA2N14f4fjAyg0YyaAGsCNVGQGKc8BzlvyHm4/vs5E1IPC6jRpdwEpDbDzCthxI3ID4Ul4oRSXYyjN+PMqrakvZwES5R/KQMROnrB+qEAfZRTwzfrQGc056zEMFHxTpSc7bZI2ZDByqOt0GyRyIyxjERN2ko9huRISYoVK1X22/mTPlR9j9TcDlr0nDb4ANRrCAeCx7psDFT8Pr2Gal3l7sAMQtA9sXFOOiUWg2jZ81vL2DhafFjptVKyK4ExLxLqD+k8J76lBEZzoZxZNRyNCeQcK2k3hDgcux4ccs5FeY0/1x2ws9jg4ZA84UFWycgTuVZlrFjVoBo7Po7QeGs4iFtoesqgLVAuyXsguqSaDu3nzEZMcy85X5d1et8wufA0tc0AFM/WmlGxOaxdEMEbPIxe9SqFUtxGONy3sm0FA67cBtmyzSLz1oZd258CS5+PqsXKQqI4J4qTuJe0jgEIGB4YZeptPiB2/DZ1+1nIPcN6X+3Jf7lTe3pnFq0KEh4zEtjDf/cllYUkjHbWkpkOi1i0KUK86NjVfL6FHlWsoYS6rm5s6GKLXYASuJvzYTmc/z1LCoNlIZHU7JWVm5npORspqPT+gMnWzMJ+RhV73HNoQKGt9mXAYtjQSFoDKfNXt1BDKwMpi/KzR6IOQqIXBialsK7uUbc21cHhuWWT2Sn9/Gjcxqyan7XvQpnKNvf5Z3Shv72DR6GwCwIxcxVwAOUwqWtNs45ThjqKobntXp9XtMQqTLwk4+mAJjAmkMuw8qLFPzjXDNdS8kFYAl6OvSxTDQoIrgKVTB/QURGpewKt6hYpeQy/bNcWaEsOt9+CwBO0nkHmSbnag8QjTaVccyazkTsRbSjdFj9xJbogBXcFSpC0noxXFgYqhtFeW8aOIio4CO6huZHNTlhuVC3g8p6ovZqAlZXEKC30lagGac9EwD6eFg9s7XX7pYb0+Dw4YnNZ2yihgrJwjgTYZgOhBAHKzsougiYuu5v5BV/JOcqDZQj9HEa4JW2snlX7kyIUEZoQnIWdJG9xeljscgLS0CJNI7bnRlqjyPWF+MtxYqfRuZGzeDxiPgKl3tc86hovzUSJ1DG/YkkdpQ+pZlrojYTzmUtePhWDvDcyipW2nVG/88tSv28hDohLM5fXwGEVwVunYbjfJjd1QvAWgzBUfIQJ2e9B2AI01GuI2Q9V30LrCeoIzg99GeSquVRNiyvDF8YoRtlmeJAawTlnUrGxQsdcgwi+tSI1FgjyArtEqcBtpJ22HYv5rLmY0Sop62Vt1LbqrXG8ozb3gEbM8kLjOcAMrTmG/j2gj0JgqC7akWEv6eqEp72XG0Z+nImhTQdF5ijogIjW0H4uoi5sEOHZJmJlW+nOJerBrQFQGaJMRtjx/QifW47kyO+ovEsK+TVFvBpwgg4ilqFtCmdsM6J+doruwyJEkg3WXNazrt5ABN4tSFVCZr34PhB1gd7sf5OHCvmqAsgcWzzP8jtBf1D7rX/QYj3vEyzpgutEhXqGETtNGQfSO4Aagu2S4wULjTa7KHcrbM1g0eRAAgJxB3iMrx2Eumefm34sBiBFQT1JmBhnI9jK694zWrVL5U+MDYbMVADMBm7tmnUZXFKFssMhmVEMk7xswNXc6nW5yU4i5Tl8LLscKzH1OWae9qFUBwv8w5afUuzpD6gi+J6F7d3XQpuRu/o6lvyugWzNMXzPrtKtPdSdju0RotLppKerVppwN2DRfqPTDKeHo91B+E6NmW7temXW6IASdUcyyTo+4zjRCpVzXrFNtT0Yj+V9/59wJ/dv2K2As1xnCbVmn0xLIJwnTssr9jccMN1HJDSlZpwuGiz8OWacWyeA69FPXgYcB/omIlaRnz+r+KQEWoWAWNantFvTkkXx3GJHPzotgTnlteRZX23Isgoc7Xwu6Puqj6uEp8skK7mojIjgAuIvgZy9Aw1gGgrzewKWErGQsq6v7ZF3UrstsYdd4jrbciZyx+NiBUkZ+eKzbGOmklxnGsitcCl4tQGNG98nzQkIzRSvfRSwvGmPkq7Vodg4jOvX4ZFWpct6BU4Y3z4ytfH70vU19qmfUvJZQQ6LduaD3bjshrHXGMuWyTEnHSgAzctY+IV4OZabRXY4iWf/dTfUebfxSaJwKZhX7TiQGzy+KcE2OmvjngBRdWdsvn4tdQOpciXpQ4jJTOvq9Oij5nNCfTfD76l1y/O1zGTxVGcv6HIDk2SxCmc0VZauPX+CdX3+A1VPli3hCWjrEywmrp3KN+iHLkjgxcl8HG8uQDduM7WMlA25khplR+R+p93jyL66R+4D4fF367MlvfQmL5wGL85qlK8dLkouSarg7e6C7TAibhGnlS998f313UtZ9NOS+3Jf7cqfydswsbimflkQmSV729BPFbmKuEZS7pLYfRji8k6VPkYST9Telhh36GqQv0lT2WfIUUOZ9lHM5BUvDpsyNyG6TVt6mnqd0q3qOQY4kAAAgAElEQVT2D6tYpAOAYD5q/kOJgayzm86DBomEFJ8O8zJhrjMKJWXRmNRztS7r3gidLynqFnWR7FGLLOSsWMbEsCVESaNPgk353HifsICH7QziTYpLTZSF9JgWHYI0haiJeEGXR1wlAWrkw9rvStq7x+3to2Qp7rNwS6OH0Rz3h2Cr+dYOFjc8Sk0gd5pkiWJ5IF0EeVeEcgHFLFYiXWSvAIChKjvnU1la0Hon69cHK9CUS3Qg7FVGv7Xj8x7uaAU+PQbr2t8B4McPKqSgg83w7lGhkBelrD5gPO2ELv18h0mn6/Fih/27C4CB1XekjdNJh3g5IK0C/PWArFNHvx+QVh3yMt7Q4Mw3NDiDYBPbAVPR4JRlA6sGZ1YNTqeitVdfWxUQliYJQUsqd714xxNfNThtSstieBPWU50SG7DLjP2TBYJOq8cTuezGBx26c1k2Wbp+WnhxRdMlS9HgTBnbL8u+U08a8lRsQW+U7TsOizOvjMkKcLKL6NYZORD6M9UXZWD9fkTqgLCVPhgeLw40OOcA53js0J8faHCOCS/+oMOx/pZGCOuuPLbvyT5hjcKyNLwgR4mihg0Qth7b92S7mwLCnpUJGssxh690qsEZSp+d/XTA+usZRx/4mQZnvPIF4LTU9NQBfufRXfJMg3P6F184unczUzgs+5tqzfCuOnV7r6BjmAm78F1l9WJQgNGDWq9QZvUDcTUsGvydAc7UO9Dk4Rr2Zeq9+E0QIa1iCXO6scN4JFGO4tIdxOuD1RTYbibfReRe/Eg/N4AzW7sq83Hqa9RgXBGYPPzIGI5spsQIXlyvsg7ybpCBMlOYAadpIfR6l/hWgFNStG8CnONS1/tLE3wRcNBwyPFY8k1So9ngkg56cEg94NX7xI2S8DWeUhEd5oBPBTjHJSHsbgKcw8OM8YWFgAXgJK4hSmNzUkbZlhbCpcidRCqmo6zHldB6ioTga4RlUo/SmazeMYB39hiuFoW/kZZKwtHoiwGnuYNGWA4Azh+H0CmnJB4ZCmS2niC83kr2KXQAHUYAG1DUkXiawNudSPhvNkXKvz1GeH4lb8YJIEIYRoAZ3nIzhhHuei8Zp5oPQszgtQCXZaazXsvsYr2Wv7WuxfevK1CnN0/wDvEsKjg4ItqNOiYcq3ephTb7Z1vQPok5+n6qHiObHeIzB9rtq+y9zmb8usNy3WTeXq5lgNsPiHYO1wLEkkr7+7UqbetM7eQ7G5AtI1gp3DR3C8+9B42S7LVYqNmSLqHcbqwDULMMWQ2pJrxdCwfGbwaZ2QEV4Oyi5N9YQt1ZD9rtwVfXRYU7R9VGzc17SPZoXE/IsUaaKKt/qEaRDMykMSFsO0xLj+XHqt4+TJ8KcK6WoXBICsD57ALvfushVp/odo0cxXXC0Uc6QA+WRcqYljpgdqTENmnf/oHse/z9QYDQQCW0zkFMoNPCo3+6KX32zm90WH+ywPIFl6VpDgpwaq5RATgDIa4T/DYhmSJ7ZnzYZNa+qtwDnPflvtyXO5W3Y2bB+l+ja8m6/EiX4sNRfUQCwLl8LoY0CaAO6dnzckj/zhPwbld8RQAJFyJL6nuxH9SQIU7EI6RMf8/OQfu9UB+Uv0GrJejhA/BqUZ8swSM9PoV/Kk9gFzUF+biDv1SA0xSPosf0QBaR3XZEXspMyG8HJH1Cd/9SQsQufkk8SU6PQZfX4lUCgF+cg7qI8UsPxJcEKLhI60sCAN2qA0cPtx0xnco6Nz6PZaZAU65tyAIQ7x721XXLGJveFT8PABhOIvqzQZZVzbLHE+DPN3Bn1zd/4tNFJZEtI4gZm6+foNNQb45Opt+9+JNYevy09IjrJWIXxTYRKLhCXS5I2bznsXyBG2X/oEN/kZAWhONvn5ftw+MFOKA4ra2/cVI8SaYFIWyNGi71TD2hvzCrQ/m9j/qA9VcIpD6A7Kl4h2zek76Jay42gaaDYZmx3SXD733RBTn5HsPvpnku5JRx9rNHmJbA0WlA2Mi1sP6Sw/qr0IQz+f5wSugua5+k3paXQFo69C8CBrE4kRT/b33hMIs7lJbR2eIQL8MmzC7A+4pvkAOQBBk2HMLfvoa/9ZiktOPowV0o3+de6d6NDqiRptqfosUUTM4fEByh3HSNFQApPmI4Sfk8CI3bwFjydkGI1YABi1YHTblMPUMX5PPgAErIvXIBDFdZEJxpddjAGV0hS9k+JhKUm8GCMrS9NyesLYnMzjstCGkwmrms1aeFg3cEnmxt7+AmjxBcARULR8Fo2VqmFRWdibZMC5HwnxZu9vsaCcu2pd5hVGGdaVmPS1lwkNQLJgIA09IJCNk5jCdc9hf9T5qBmcRUBotRt4muJqtuKRqLAAdKN4GEcSVepdOCSjbqeEQYH1TeBCDHcVMzWCzsuIKX+D1hPGno3l84UtZdyuuGC21/TRIDALjmGIeali+Rxj8slDK4lf5Xmfs2IQ1AleqfCfg0itGtFQAfSPhbe0w1/FA9nHkul6+UcvEIBQwap8Qi5pvaEGeWQdHp+wObQJpQZPlbmX6T6JfjYibdb8XsD25jcLbWBa3Mv7WLVWaghBJ1VmPK2bJN65mqLH/rUuLGW/oRqHL70/z3Pdzmpirrb0rYqN2pAGGtix00t6RSs8ESjZNjUdnXAEhfeXigTLipuH2g+q7Fj4ysSt6lH0bA7dyMsm3q3lbaFHWvnxnl3HRU71q+OINFjKBxvJuILyDRkS6L3J5FKkIQYNS7uuSx8KwnyWB8hTALL/tZIhl3UcKbKlBDyohk1aEwnQGrozwJfaU/G/V4VrxEQWS20rRX90/RgXRWQKqZkTsvdHJjrK8CpoVHcIRpoTOL6Et0xRGV5Y9fLYCU5YlneRoGmnkxvbHth++tZOvXW2L6pT/sPYRdaO3KHekUniQZSm+e1ElCXjjpa7JWUR+fL0NM/fqw5CC6FznMf9/DbdNCzHzcKBJ6Frp36jaeQ2VEpl7MhIaHUZK0SttkZpFDk1QW68zClL1sZuEjIacavcmBRN/ioEwLQu7lNRWFeCAvcpmpST/Weu1vex0eJ4TrgGlpgzZeC7X84gwWbRZqG2Z9mT9IzjIwmOweIKQizrLGN+6EkbBGyT4tYcjbjskZGMainCXfm+C2k5KlqBzPjakcs+6b4PcVjXeGtk91e5mZjEmONTWv9rnuX5zRpyyUbwZ850r6uttOCBnwu6mI+tA+AT7DZSftUVdv2ksEwu+46HQaZiGRBJTsTL/z8PskIivNxeYGa+/NWWDpD30PiAxfUMQ/J6c5L9QQk+QpGrYJbjs23qO5zApauf6w4ZkUXv3dnHIm8izCcbjNMAqZNTh06zoTyjoAhG2dCbkRCOuEeBXqdk/IgRG2jLCm0q5c2tliFoS4Zvh95aT4fa7XRVPiWkKtYZvhdcYzrAnxws21QsNcO5QSlX7sXnjEdR2sJWX/Zne9rNxHQ+7LfbkvdypfnJnF65ac5SncYhbUvH/DYgIvLeYhIiwsEYkfho/JXUqLr+QMgnEPuBCsJK1cZ1KlC1iy8pPwFEp/5Pz64j4/lPPQV6WAF42KIlJzYNX4ORapS+wQjSGKpk3zfaF6Hj+iPlOqOOWKWbxuEbvIei6vK/rzxRws7hINuc2pzFEBmnCQPn7o0HXrMUmmyuYWZvUIy3K+VjfHMHMLszrYU/Pe8JLGScw17TFh4lag2FF1KDNtTwCmcdnqX1ZHM6r1KhbCwSnpqukHc/2yfXWNwYEapzBZg7cOYqX4XPRMD0vroFYctULTruCKtqcDl/TsHMQRrcV7imsYqDqPAS/V07TtYhPQkMsOton2ZV0mzMWIdf/2c0/I3ilOoNu94RENXtAIG5dtul/qlDzVWT9Vxu+Nc9DzsLBy6kRgp1V0zxE3/i7be0bqqFDAzXf3ruXtHSwOb9QmGtKqX9l78u5gEKn4QZ1NpMKzgIY+CyC5CMBIlX1oxwRmdSELRbm9SUwhvK1rWnq4vRyznMIyYDyW48eLUGjGvqvbewvlLgLQRXAXQPoqbZCwbVr4krDlskRD2IsbuwEvrKnkAMogwt7LwKKJXWWQmsQMdDx2oFT9TOy708qBFSAYjwh+J++nVdMPFBC6AIw3L6vSH/peXqvylF3gU+8QOJfAlfAuZGYxKrVc6N4SuWjBvP1Dkes/LONKogjTgqRfbfuxUMhXS21Xr/oWypXI7UAUCOMxldDpuJRQL2XG/klGd2EDDtReEdg/5PLdwrPQsGX2EIUt55B2lRo+Hvtbb+DpiDAeA9M5qVgOMDwE8rsDhrO+7Ld/xLOHloGZaQHkjjEeE4ZTExGiLzDdu4hV0g1wkZlBRMjDOFO/miti1e/wOAroN9Y4Ejcy/karNoUrtxnUJ8SX+orfSFMXjRPcZqjx+mGE1+/CUZH2K0pWDcDZKlm5zYBoAjzbAd2F1qV0cVPfom3zqp/TdkC8HODNA8TUuJjlorXJ02YAj0LKCtc6AAxT0VbAlMvNxcMAZEZ/nm4lZZmClfxNRZPCjfVq87skKmL7m/JLrbKXnXfuXKmLg7TbjQKeWtIaMRCuR9B+mKlU3UbKSh0VX4+2hK0TFawFVWIYIOe6o0Lh7i96+EGFdSIV0BKQv/1A6K6qWhcTEK4HLD9aYPG8BTiNiHULKWs9BziFlAUEVbTqLib43c11xuJ5B78Fli8Sgib6LT/xyLHD4lkTPh7kmKVPGlJW7gj9GZff3LJW71ruAc77cl/uy53K2zWzuGu5A2ZhfiAUwozPUGYvb8jgxCGDM+j7Ithr0+rPmcHZe7jBDIl0udCH+TKkC8LyTFyyaXMXZBniBRMxJqZ3DnA/WgbntHQlC9Sc1UtGqi6B0oJk9hLD587gnJaEaSnygamvmcvEMhMYl1Qc2MalGi/14UfE4JSlyLR0Bfx9XQZnWgr5qzI4CT+WDE4yctJdS2s+5GuWHaf0esc5KHxIPFLQkg+ByM+5MDWkLssMdbKONowlBydAZGgBVAUbg+g2Fuyli585UvTapcGbTYPCDJiyTnpZQdfP04WttoeKe1jqKhOSsoCZh+2V9PIf0e/tqPBa8stMh15RcuRyjnLM1/u936rBgnoBanicZnqZAGaanLxeF61LALdqbBadTtXoBAB68kiEbHIGPz0DAGSV+XcpiYWA5UjccnwAcCdHoKttRaxTgrseJPWbCPxQsnS6D0Qjk5vQWquRSVdrdJqUxOstltrGrIlt/uMXyOuN6InudsU2MW93cE/P0DlXVL1M57PV+ASE2MW9eJp2T1Wn8+xKhG+IQCnDqep3fngM2o04/vY5aKfna6CyWjmSKYB/soAzTc8Ymvom8NUaPNb+stIBRTPUztvtH4CMhq4RJrbolYUtz7gonVsSmKWRU86z6Mbqo0Xxf20LR19wJvdxzTQ7HpNse3YBADjqQxH5GR7Ggg24lJHVitKS97Lum6PDl//xhP659odGg9x+wsn35Dz9PlVRYJtZKoM3bNPMkLv/4Kz0c1seLd9D9hY5kWO8/60d9r8TsXi6LftNK180R4EKbOdIuPpaxNEnU0mTp8z4weZGVS8tb9VgwY3QjT89FU0LBRnthk1Pn8L/zB+Au5TMRn50Cnp+Djw8hX8hPzpyAlZL4OwCODkCNjrV/ejjcvzdv/VzAEQ3AkS4+uoKbmAk7cjTfxaR3nsgLMcLyVrND4/BU8b+/eMiXLP67iW2P3GClS1vfiAOuZ/8yZ/F8kUSJF8fBMOJx/p9WSacfi9h+1iOcfR7CWc/EwAGvvYP5eY9/8OPsPrBDsOjDv2zPQZ1QV/9zjnWf+ARdo88lk+lb4z9OTwIuP5KnZI++J0RaeHQXUy4/pp8//hDGaxS7+D3GcMDuQRO/+kHAIDf/fPfQH+mv4HqMOQoSHzQa3L7PmPxVIBAy2AEA/EaePCdqWhGuJFLxODsmz0WZ7J9+0T6YHhAOPqBhQHlMOMJIV4xvI43uyeExXPGo9+8xHf+1Duyz7HmcIwk4i72gPz9G/AHD8F+blHAkdE/O8V4xHjn1x9I2xLw4g86DA8z3v3WQwDA+isyRfd7CUnGq3p75A7YP8lYfrTQdkqlX/7HE/7Qf/kb+Ae//kcAANQn9MsRu6crfP2nngIAPjg7Qdcl5Ez4+iMZ8J4s1uj9hG+fv4vnl0f4xjuy73f/t9+HeA3MXNQ9cPGzE+KjPbpfPyp9dv1L5/grP/O/4lf+3z8O1inPN588xW998iUQMZgJj49kNPjS0SX6YYHf+fgd/OT7ktm8GTu4f35zYH9ZeasGi7bwVBWeAcye0LTZlcGD1lvwfi/bWrf0rfxN27q9PUb/QgYmdymDxaIPoLFmYWIc4a52oCkVCT9ai8RePAsIOmLTeov+WQdS1eysdR19PCFejCWiAAB+G0tYcvF0gDPn7Od7HH9fciBMuXn5dEC43Ek0wOTz9Nz7FwPcGNG9UPMjfTq7IQJUw2j98x1y5+HXI1b6NIpn8p0QnQjYaBvMSOn4Q0ZviL8OdDmqStReLtKwFXk5yighQ2KhOPcvhkIXt9+PEuPo41AiPn6UzNfukrB8pjMqMxm6dAib6qIedvI9d7nF8QcyMk1LSw5TfoIOFpvhSNzMdcpuhYO4mk8LKirclBjHxx3GF64I11AOJSzbUrulfYTuwpWoh2EU/fMd/sGv/xEc/bbO0EJE7nucXBB+sH1f+vzKYQwyqP0rlRr4dpcBAsKlh98Svv1IZB7f/ZARt+JEV3xDHJBjwHgScPxhLn324W8+wS+P/z6Gb5+WPvhnD07RvfDlAfWDxQkA4IPlu6DRoT9z+PYnIr3oRmC/rZIGryr30ZD7cl/uy53KWzuz+NTSZo2a58jMhKgBQ18CZlbAT77Lxoxss069A+dclJHZgE2HGfOR2/ZoMSYk5wqGsjIWmYwVWduSvaDuJQJhTEtjjPp6vgUINKm9VNf9uQHSjb1p7uJyvvUzSrlmYVobPcoxKEANkfTfZOeG4ghvKL8h/tZeACADKZFn55DLd1sGZ3PsAOm3ti7namZnJEB0x2eCvTmymhnV8yU25qNGIKxtpOca67VgHAlwU6/9nn6+LZffzoH6VMV1Y60vRy7tykHawmY32GXAsWIkAHfc9L+BkHbd1eO1/ciRsexG7GKzFIssRDXS89DjIjKYRLSYO42eEaHk39+hvL2DhaWVG4h36EhmIc/g6+BgxkNZtR/15i43e3OMcrMHLxdJdHLxGbodgrAnM9fjRhUFds3gZICcsTypvfDkmCUlu6ETp85VanHnhfbLFTDMnUNeBAkpRg82BmYXkTsd1AqNvUYOZoOdDYLOzQdH60+jqgNNyHdOF5ZohGyfYG0njEvRWLDQnORzSD9aXW7MYAIoy7mao1jqNLLgMR9AYBRqAunPn+3mcCTfg+AbTKRenig3SuqUfKQqVNYuQFPKFyiYlAj26jbzDtWwJzNrmnlD1Q91EJC/rT8J/XJEVnA+RwlR5g2Bew3/DvpgyAB0m19Kb05LB2QPWsh1Pi28CPmGGo1hHajsX7meFownqzWeLR8WE2a3nJB7D3aS52JtcMsJeafh+thqiODO5ZWDBRH9DQB/AsAnzPxzuu2/APAfAXiqu/0VZv77+tl/DuAvAEgA/hNm/od3b05TUpphFrOw3jhVwV6LnDTbkBIQZTtNTWSlOYbb6S+xH0BE8NsebmqcncZRPU0nsLJAaTdIKvowwTUeq24/lUHN6gqbDL+dyg0jHwKd8gjCeio3StiM6K6DJCcpozRsEtxmgHck6dlGQ98P8JtJuAiWom6p33uHuM7lqSqGyx40TPDKvjQJOccqsGv06Gxiuoy4ngOUORJccvCDPf0c+kuVvjMfFJYUb7+bKmahrmGUGHHdI24UOwqmdu1qu6Y6A2wxi9iR7DNO6K6MH1D/pYbunRaE7oJnVgAmidddMtIeiJfaZxnorjyIqVgfSJ4GGsyiSf1WCncsaeu1j3dPVzi5qDOOvCHES2A6k9srXOlgwcCoDRa+CyNeOYQNYWDFry4ZYVcFfgE5l+HU2lo9cuNZh9/5+B10zxsrgLFHd+bKzCKpGnnaeISB0F0QQOoilwCku48Wd5lZ/E0Afw3Arx1s/2+Z+b9qNxDRHwLwHwD4wwC+AuB/J6KfZuaE1y3Gq7hlZsF9BHZVfAbeC09ga0FwAhY9aLerr0AFQAFMJ/IkiPsEOGA8jfBDLmIsMQTkTvQqyWwC+wgkj+mkr+7jlx3G0x7uUoAi0pnB7pEH0Knug7RrPPESCQAQNhH7h0qI2kfsHgvAearfH08CwjpiOo5w+wnTkfzAwXtMJxH7h6FesHpzjicRm3fqOiRe9aI07Qj7x6q1qZoQufNwQyq6llGV0bfvujKzaL1NpyOC15tn964QlihL9EI6R26kuI7w2xqak8oYu0e+qHBL3wD7BwTS5A676cdjQrwmeKWR7x4R2Ef0n/TYvit1TSsUNavU4HObn5jAPhwsQzTZqhNZOrMUpMzYvic5GabCvXnPCalpFDEa06OQ/pJcD6NwG4nq5Hs9vv5TTwuYmSOD+ywDxTckirY9X8jTnIHVIwHCV/2I4BOevjjF9ipi9a7su/vdBwhrnkdDHLD+CmN6NCFeRZAOLNPv2+Hf++Zv4e/t/7XSzoePr3H29KQMFvFIHj4PVnsMU8D6kyMcvSd1jaOH6+9+a74S4GTmfwTgFhnUW8svAvjbzLxn5t8F8NsA/vU7t+a+3Jf78taWz4JZ/CUi+rMAvgXgP2XmMwBfBfBPmn0+1G1vVl6iu0kpgzVpjKYkS9bDfSc1JbbXg2JPYzEvJrG6HzK8zWByFi+G9rgpg6YkiU6W82Z/a8KYeZOEHcMNGTRWgNTvXZna+qEmcbkpw+8Ua9Knrxsl0cuNeWY6DJbjhm0uylV2Lhwd4rZJ7NoncQrbpxIG9MUTRL5XsBAFSUVtqmkD6ZSbAG+h042EUSlVYBKs5zxWXc+qtSkKVjZTsePEdQ1PmqITO0LYcVnyhN4jbEXNqipAqXblxKCG2hwuPMIGNwBOtyd45Yj4wRTJxCmMHZW64ppBTHCjpH3PFKg0zbwsQ0xTc5/wwdkJ4pVhPow0EMIVyYwCEh7NypjdQMKWu74DeUa6jPDXHptOti/13A9Dp/HKARQQ14ywUczhvMNvnH0FuAoFtzl3R3CXocwsxlHadT4E8OAQLjzWQV3rJoc8vXK+UMqbhk7/OoCfAvBHAXwE4L9+3QMQ0S8R0beI6FsjbnEdu/uBPn37p33e/DP6NBNupgi3cv4WnXC3/ytf8ZAfTKMnFpFgJwCeUXfZKVjXRiys6GeA7lPOSSMJVq+CgFmjIfav1OVrRMP2te8ZoNi2u7SrpWB7NOdp/dDs529pf9uFTd/adwyINKDT3M/qa/0nUSc6+ExTrLV/JVowP4esEQ9YG60fycDCeXuKbkXAwb/btsl5dV1CDqz/ZADlAFl6xIwcGNyx5IJ0GdRl+JgQYwI8gwODQgYFxZvo5j+OEtloj8+RcdLtwYHLvxCTpL7rP2tDiAmuT8gdw/XyHlEiMnctbzSzYOZChSSi/x7A39M/vw/g682uX9Nttx3jVwH8KgCc0uObLf40xalWqapVwroFyHxlSRlwVBSZinpQY2zMbV13LWz/GOZrWxSKWKMHZXaS62eW0s6s2+VcqVXF+rxzOKxd2n7KEp400RVwddNq1ZbM7NeUuUtULueZ4fLrKjTV49f6wQByrbPUp/3aPiNKJGKmwIWiGnWbIvjrlJzpRhvK76/binqCnUJ2YCezWsoooWLTxRSVM5RtLytD8mVWBkBEg3Qm2LaBbzwBX7+80WBBRF9m5o/0zz8J4P/W938XwP9ERP8NBOD8JoB/+kYtOwQ4myLh0ltCp5Yl6hrFppcoN1mI1EKV08LDExUaNxpvkRIODR4mfmPhtujlfbRQr9Y1LQjBMjK1+rQgTEuU7MpJsyhz7zGtmnODZl9qPcG3WakOqfei8tzPH+W5d2p+o/X1rniFlroajwz7DoAi9DMeEbxO9OxJnLpqjgMIuDet5QYxcxy7eVPvisZFHWTlXIOCx9aW6YiKZ6iFRceV3jwa4h1XhLCTvrC6BIS8CXCmBxOmKzGervr9hLQUCve0AnJf2zsdCXXcciWmFWE8Erl+AVznAOd0wkWPYmyyRL/+6LwwMzlmoM8YUyxg5gZLUCcA58NHAi6uuhF9mPBBJoyhK9unVS/nT0JJ11PAeJKRH0yYVl3ps/hgi59/9AH+1cP3yqDw/uNLfDQ9LO1eHcmP+fBoi90Y8GL0ePxQ6hqmgODvPnLfJXT6twD8AoB3iOhDAL8M4BeI6I9CmvgdAP8xADDzbxLR3wHwWwAmAH/xjSIh9+W+3Je3rrxysGDmP3PL5v/hU/b/FQC/8lkaBUBmCq2Unj3d9bMieaezDPY3SVklRd10CZq5aVmnB1fX/JFq+m8IyF0QUMcMl6NkcM4YlUaEOiQ3BdGpzLliGeLubUSshqDVu0LKgpGyAiH3QTgJva+yeF0s3iAzXU37TvOLGlbBhRE4/459rp2j/YkqVceq2RDlCW7T3dyphWBiIUVBHuR5ADhUV3LXmAqliNK3rQ6lsUXtVViWKKQs+5udK+1KPSvOBHEj16eq6xNSz7JKMVIWC1YgjmJcnsqU9bwWXGY1heWZ9bWV1TMsKNR2WT8+Wawl1wMAugy/nJC7gFUv/Jxd38HHBM4Oq062PVxs0bkJL5YrXCWPo15CnBe9zJjYE1gB4az2Ai4m1f7UqvoJP9E/x2I5lGXGSbfH026Cc4ycqbThpNvDE+M8JhxpG4RL+OPA4Dx04TooJSksZcx8QQBZurwK4LSbm3km4VZ8FLL6SZj/CHQt3lCw5TjGpjxA96x6RsFQiKFT5KYe1HU0gCLDZ9EKcBTswta/4wRkFJASwOy1ZXDOwFd/y74tKGss0AOAt1xLVDGDIlR/lF0AACAASURBVMvHzedc/xUPFObZMSrmoC8Nfdpu7ha8rH8rSGzt0jaW1YY2mLxGb4CCE8kxav/OnMMIouat/S/0b8FojFpdjqGAYhmYYwW8ez/VtjlRKYdjBJ9Ku7xnsEvog6b5uwmrMMrNSoxo+7aYhbH4M4NjRgi5AM0A4F3Gwo0zPGLhJ3g9X+9rGxZek/hCxio2kgs/FoPFAV4xk9jPuc4sdBOlDHZNYkRSQyF7PTiGhRDBDDinIUoGGcXXOVHPzrnMWNg5YVDuJpAN78Mo+gGm78mWLclwow5EBjdMLOE4vfEsi1PaoxeHGTYnRo6qikRUQEOOwvSM61w0MS10GiKhu2qYkNsEysKqjGs5ruk7UhZSVtDZjRHW4hpFENZCp2CJOhhJKGxQ9BuTXneU5YlIqeotFA3PjBJqlePKa3fRskXrBR/XNXSaOmGl0j6VFHkmqgxOAzsB7M87dNfmPlbBVDc6wWGawVF+C5nl2P3SXYpylRsBH2uYVNohKuCmb2mzrLBN+Pb5uwiXpkTmMC0d4pXD0xeSJZsuI5JnIBM+UCDzxXIFIsbl1Qrp6v9r71t2JDmy7I49/BHukY/KzKpik2yRwxZ7hloJgiQM0MAMMBtBEvQD8wH6CG200k9oKwGz01pQb9QDNASMZtFQi4Q4A5Ld1WSxKqvyHQ8Pt5cW99rDI4vTWWQ/kuy4QFVEekSYm5u7m1+799xzKjyr6LuNoT4HlR8oXpNAkPEt5tcBFadOTy86/M3NexgWTXqufqqPMFy0lOXwAi84frQYGmw2GvasxafimPplFUZ79yng/kwWJeUdQDepEAiRuKYkWXE+eRbCOgSWDkRJuuI8PdHj6/buTPw9hc8VYyJS+s8YgkZvQcuFYyhyrAXhvyO2IOIs1IbwENL4NFn4jUwThNx4qJE+UKOnGzQgTTpqIMUxVTNcmxmzhbFQG0cQ7Fiazq9q9OkmS9sFvcbtSfNUCN4evTLu9xASDkIZyvcnRTIeXjUAasM3XORdCTQhkKJWxE548kJCSOMBAHogOHJQYtJfgJZSasyThdoQr4ZwjhXE6MkqeLIoMwV6oUjdy+CWBKAeaGLIuI4AvVbwtchKaxtFk6IJ8C4HegFeSg3T4G8cz7PrHorRw8IC8Ap6JbC+YdTsQlF61ANG0xrsxlHloLupIKzAcEPruZ5xLl5lnIW0AmpNdTdqk3EqYqnxyfUJsNRpwlvqFnKpCE4fstzK0krCWSwlTMvrQCsRfsNw79++xbhCEQsVdY1gLdTxEQDAX1+nz8KsSWxCoa2B5YriGEcP6Aub8ddmQ+ycTqTcWEAImF4TYxGvacPRAcxRR7UO/Bu/10Jer0mtnOHeWiu4RkGXHJkAxj1S/5YmywmaucS4R3n+eqEwziP0W2Hco5iFf0BR9fVDDeFajIfEIWr2eH8XLcYDDVdL6GbK1WhbRRT1bK5RTKXvU8Q/9jsyM0V4e8Oe2ngg0oXnDMUFPGdDPN+s4wF5AtIB437OLgQJDCdVvphd4MkqYHgg0wQ7PIiuvIBdcDaE4xG2o6VBdPdtB9gNZUPivmwfWDA5xz8AwB4ZjGNFE348aSHe2ESUsz6KFIvA+hFge4/NAW0zvZjAvUMZ46opcxJZuDNnpsK7Jy8SH0WoA0TrMIYM4V7VM8JQeJGyHn0zolIOz6p9DDcN3v0+lVmdPnwLek2xoihgHCSR7dgDB9PrxKWhjwf86cln+OzoOOmsPD66xjMc0FAHoOtoht/vBtysWyytRH9EM7wxClLfPRvydUFZO9vZzv7A7H54Fq8y56YYi+K9uF7mStDIlHUjgZZD894jXK+J4UosEtNV2UbzlGj5xLABpERnGYAVWbuNhVobyMUmAaXkagQurlEbm/AQuLxBEwJweQMAaV8Hn6whBwNRCPk0FwrtWQUIQN+MaLgqUS0NHngOanFVaP/UQK0t1MZDrQ30gt3cjUV7uoFcW8gFPSFi//R5jfqyS8eoX94AWkEMI/ZW5LGoSzpurRWEddDn9Gj2S6JfO/7QQLG4sHQ+BUFdLZPH0T+TtEwyHrbnJ7XjZdDaTUrUAYqpHACpwrS+1lR5u3bQV3xuuEDLNaQbAo53dH0FtTSQLy5x/BHHABpBQcBAWY7Yr+HzCs01czYUtHrSUt+CQoJKk/iyhm0F5l/Q03fvSSBPjPVIUqAWtGQyc5XYviJOpfnVBX7543fw8PMcJLWtQnMdMHxGFH4zriIVnnAUAGU9hKcYRb8KOH1IVREHn5LwMQkc89JWA3tfCJiZxPyLIY3Z+q/38Vef/Rm6L/MY3DQdDheUERIBcAwjX9YHaBYB80WAmdM4tg4Q17eZxL/K7u9ksWWhjDuUqM0Yofd+WprPquuiUF8v25BRPd15io9ZT3J+UQorBEbiBUzRoqQULlKbjsrYORMT9yVHR/EQF1IdAW2Xab8ixgsc15H4vC/pqD8RRTpBSloPuTGZ2DVmhoyFLARqhLHUH+sgo/BPyrZw26mNqJDuc92MD4RuFTmICPDKzngo4xGiYI3nY4h8H/HcCBq39BmQyvbVYFO/guP4TaAJMwZ0oQTkxiCUSvNB8lgBUf8TAKoVxTqkQyE9SIFmaWjSTpW6lgPMImej1GAhnKLfSDFRMw9Kpj7T+VNpjKsFUHEshEh1qb5Fc4BUjXE/ua8UDKa/9RCgOeahDKF1JXLmxkNAGUcl/cWYVUuguhHQ6zBpN9bHUHCX29hQ4LheesQFhXTTrNyvs/s7WbwizpCskBYEyxZGohvadofZMpHUSPq+BAJEZo6K2RAlsxfxGhICQdD3BfxEFzXtuyTQiZT9FknDgnRLVcrWJNNT6cTfuAnksZEgti+xhetgTVXSAI2BXkBwOtcxJkTxdRl84PRtxqB8HUtpXxU7yn0SMfBJm4lkiA/HizRRBEU3Hhlpq7oqY03u/ozd7leZkp7WnKR+cwYsSQkwU/eUGQus40rZFzlmTE7MIN3aL2M/RJ5HKXgsi7+L129i92SyCLglV2iYsHfziiIza1OqTxhFXoTzEOvIW3GH6TI+Ya2jJ2yiyePt6w0ku/Dx6Xv3jDR7DsZR5WrM41eAqCgTIIzLUJDRQo4VPVGYyl7WmrwEReQ3IUkdbiDb395pEy5MqkaDF4AUkJBAxCgIQZme0UHFG589C7XOJMXCMGOZcZBa5nS1nAYP79w3bldKyTUhAYjq8eDsiAUUPNWzIOMWpCWx5WoZMTMBXlfQKiQyma9r0pb1JbkiNqaapc2eRYJwmzDpWwxm6pWn344i9Ut+RWWocORJqDFPFr7iJVagyShfZN/oEKkf37yJne1sZ38Idk88i1fYVxSRAUAJ4U7uvBR5+fEVPBi32uDXKLoDILv4imXtRgkRo2V3Wd6U7StBtLJpGcL7E7Sf6JaHSmW0YJGCDVVWDYuFVaHSr7Ucem0T2aUGkPsoxcSl9TXFDcplSNC0vIpSiZJjHvQFkVimvJJf70k3QawGAATAigjG7JZnvk56+ubS9STXCJdc+HTO7R2um1dYWZ4foebb4xV5QeIyxCsB5ankvJQRDJqWSr7OUomuEQljMjHx6mVI3rf4Di5DAv8Xb+AQUlYh4itk11GWg0H5UedCaEVKYlLCPX+RmlRvPIJcrSDmPeQVYzQ6ScsdH+C7qBZFPJv2QU+grLiuPruAZD5Mv6DcuJz3CMcP4A66jLM41RjfOED9BcHAFdeRrE5mqM+HrLgFwM0qDI9ov93nDuaAMhHN81US+6l/Tscg+regT6/gHuxBXi3hHpD+A16eA933sPqjA1RXlPmIbr/tKgzH+ZR2z2qqWl1abI5pv7PnDV3QFSE4I96kcR7wHos3azRXU7CXryRsJ1N0fn2iMHvp4OcatisQoysPfblB9fTq1inenBwnnZOI8Lz44x6zs5a30SRKuqQhBebGOfF9drXG6iFXCM8YwckkNdEWbwl0z2/PQqvHGu2Zh50JHP+fRdo+vlnDdhkde/EnPUwnoAxpjCQEZyD33vYC7RmdM9PRTflg9ghXf2LhU00P/Rv3FZZv0u+rG4kQaQP3eEw1Qbjrc9INiaJFe19QMLOMUagh4MU/rWHmAXu/6NHc0Hm//CEQfrCE/7jP4/zAo7nI58S2jITtPELrUZ9qjEdxCS5gf3pruL7S7sdk8Sr7hwKcWueisPhe6+lvVOF5RC+kiIuEpihxB+AbDSldFiuObQKTfUFJ+FplFnBJEnYpCMpmZxKa24zmCtCUb3QCStVNAaaSuT9BK4RGpdf4eWgUbCuh1tN9Rqhx+ruSiW3bpRJ1Akf5WgIhJMbtmIUxvYAyEVnK/a4lTCcQV62mF6hYgNh05XmS1M/N7csqjkd8DxDgynHJt6soCGhnItfQgP7WGwJppRL1TqQS9XKyMPsBZnn7ujE9oAZBwLJGF9uJW9TF0vkZ9ckbAd8gxT3iZGHmSIxbtmfAmhKoHmxg9niySLT/AvYBBy2ETpT8/oAJkysHrT2Mb2kyPmAe1ZmE8LfdADMPMAcetlOomG3NHHq8c3KJJ89m6XviaIPRZ6EpP+OJf26gtYMZJNQhPwSN5Cj03exeTRaiplk7GHtrCSK0RrAWsu8R1utMvhvfr9dbuAxPN57PhWbiYB9wHsEYqHPyFsSC8AXVWQVYB8U3fWozvud9oa2hFpukCA7noBdjYuVGRyeu+3INdT2kQCoAyHUNaWe8v2VKzanzJeYxaMkB3epsCbFYQUmZXuPn6nyJttXQUdfUEqRc+IAO+UbTixFyVFBrg+acJ8HrDSABqRSEc7nmpGuB0WD/iYVecFVi/ExJ2JlKtSh6VaO5GLnqs6DxGxzU+RJifTso3X3Z0ngA6bhFaFFd03tfUTarWgrIMRSKZFm7c/8JYxzaCPcOk8yKXivMzm/rhNpGorlycK1AdbZM2/efkDJ784KugX6fcBfSsocToeGc9bGXArNzpuyfSU5PBtQ/6zH/PI4VVf5WS4+K4d7VMvfTdoxrYZaw+XWA2gCmp/M//2JI6dnS9n7Rw3YKzWWGwh9+KPH08k0cPsnfG/dnqX4FABxPjq7RMHvA3jlgTskzEQ6Q67uvT+7VZFFa2K7nKL2G0STKfcHvxWhuYTFEUjyPcQjOjaMC+IJO4K7VMMmKeG4TwGRfkJKi/EUdi/CM+5AieRjqeshtRvMemm96sRpSqk6sNwloEycmuRpYjmCTXgHAWwu53kCtTFpjR4FgaTzd6LFuJXZRyinnaJAAaKKImQ8/qyCFQH25IfAZcvYhaAm50Qkw1gBQNyzgPBQ1O6Ol/g63J4s0HsgpyqqvCkyH5HSiSIAigIBc0nqESqG+5DGoFDNJ5WUjNVKjvrydY9SNRLUw9LtVloKsL1vatmRJx9WcqlAt4CoJxUshYQHpAvSAJJZMBXPkofVPQ5IUjNXAanCJhVuvfCppjyXykfawWnmoTcgQ7qtNxsQU1tx0qNY0UcSJpzv1QJDoT/MDqVpKxlKQZZ0agYWWaC+yjqzwdGx3tV02ZGc729md7F55FqWKuux7CnTyU90zhsK/eAH93ruQN+xOHswhL64g9vegYmWqc5TNWAwQTZ2WIe6LL1P77l/+EwBAdb5CEALDGz2Uyboh3WZEODog2DfvK+zPAe9hj/sU4KzXI+y8hrziiqZTUqi+/FcfoL1gRfFYSNZrrB7R7+ZfzLB5QP3tns9x+YMGCMCjG9KfWP7wBO3pPsxBg/psjc0RLV9arTC8d4LNoUZ7xsuFUjfkcVbd2XuygWsoa7F+TOvYyCmxrRsy+xn5ss//4h+juSyqTgUtEUyXS9fXJwKzlzMgkM4HDQ6523uf9xm34HM5/vV7HZoL2j5wMdfmQKJ/XixDAIxzgXqRA5zDA4n2wmPv4yt8+RdHPI7IMYtCkWz5jxxmT2eZ9JbN1wHNeQM7A44/eoPGwQEXP9Qwc+Dk53Tulm9ImF5wLAQYi/iHqwXGQ2B2movOAODx3w5Y/PtLfP4hlX2HKsC3AdVFDfsO434uayLPBVHhAURco6TH6UUHsdTQx/Td9V/vo1oyAjM6DIKCmebQ4/BDSR4FgC/+jcOPPvgYP/3w/TQG3fENVi96xMCPZN2QththjMLq7Rn0CfXBGQX/P76lMYvSRKWpDD0uAaJcIQDftZAMlPJ9C7lcw/czyAjKkgqhbYClTq9lGwCwOWZVJtsCUlC15BhSoLFrG9j9FnK0UBx38PszCOMwHtYpSFddthiOK1RM+y643mP1SCJIDb0JKW212ZNYfo/RgqNOgkPC11i+LYjUZk6TwuqhhhwbbI4IrLU54mzJyxnWJxWGByK5uYoFlzaHKrUPAPWigm0pOLh6yBWurJrtWgk1qCR01HG8aPl2SHybasNMWTVVPSquuBy+5+BmCsIC4wG76gCqK4FqXUGNnDo1EZJPN2J0n1ePKJg5HoYUzIsB2HEfMNc5VTg8pJRr97TB4vsc2d+3EKOEMIICeLybd99/jl80jwBmy6Z9C8jKw8wb+D2H9ozGUVpg+X0PnGywPKVzt3wLMAcOcpDwrUd1lR1v1wT4hyN8xdkQDkhuPq3wH/74v+M/mn8HAJjVBsfdEp8+P8G/ff8jAMDPL97EXr3B6BT+2YNfAQAxXEmDv7l5D59cn+BPTz4DAPzVZ3+G6ob5Qwr5wvCDJd45ucTTyzdTHvRHH3yM//ru/8RfBpGQqT86/AQ/PvkAWjjYoPBufwYAeG/2Ahe2x0+ev48/f/z3AIAL0+G/tTmG8+vs3k4W5URBfxeFZMMGiLGG9YhgHa3xY3wgeIjVgDCa9LrdRsNPZbWkQrL2nErUU4bBOsiIw48T1tpADBs05xpVlBNcrDE7bSC4qCvyUfTPPeorSzn+mDgxCiIoEkw7d+nJUV9ZdE8rWkNyXKC9dNBrh3AloJcGdcQzGIfmykFvRDqGGDCUY4UgsmfRvhiJTHhhMGfcQXOe1/3SOMiRKQM5zjB/IrJMIPedgnv55lcjBdqEBaplRkrqZUBzaTM3hvGJVat7rtBcx6cYjUF9hbTejlkZcym4xiMHONtLB321Rv85pQhtV2Xym4K0+Jfme+ieS8ZO8CTGGY3qmoKS7SVnB2xA/yuF8abF7Dx/13aKPQs11Q2pBMaLBu3LwH1QPMZr/Kf/968x/h0VZw1VwMvZIeozlZXCbjTxWThB5LpAosIbFvQw++yIPJPuS6r18Dpno7wG/Mc9njyb4fBJHrOffvg+/jII/K+Pf0B1TAB+tv8WNmczRHbv/9u9SdfYzGAcKoiXNf7LM/LQgpE4W/8Ed7V7O1nc2cJtqPhrUfZ7kMsWC5OKNiKMONPivUa7ofhNyDdU/jwH8UR8XzQvXOxD8cp9oaXEbwC/+5V9z/3a7mf6fLvP5fficXpAyFAcx+3vvo6JrX5hq3+pbQ8gpj09aCnE3yup/SIln0ggvq9Zs1KwdVG74lafys/Tb0CXCV1+OSgdJQqSPMRXrRQC17p45BRY3Ef8M+3nm18vuwDnzna2szvZt8az2Gb3TnyaDLoKSmYPwweCTSuVX4s2gOy+akX5fd9IQAaCLEdLnkUxtVcartVZN6TSBJSJwVXel+lIqrAEGLkmA4t8LZJ+RpCCUmcBKdXqa5Hh1EIkdm944msY+wzKikVItlc54AhylV1L/AxjzwCwNubdJWlpRD4KTvmaeblWLpiy+pzPtD1JGAYV4No4VuQNeS2gI2q1eBQRbiGm8UAxi32Baskxi6gbskf7VHy8476ANBK+qZJWh51ToZUcAdcWnsXhCLNsEAl9QbuBqwOkkTDzUEDZA0wPuFlORY77zJQ10jGXGA5fAZsHIVWCRqYs2ym8f/wC//uAliGoAuTMwpgGh0eEFr2UParKwQeBx0eEJt6rN2iVxaf6CEvdpu03TUfs3hKJzTxIQmaKow3G/Vkas+74Bj86/AQ/288Koe8cX+AzJ1OAc95THO9hv8TS1HiKQ7z56BIAsDYaZ/ruRXT3d7LYqu8oyXaJPyIU713mbgBo0rBMnhNft9qIEftYGanWzB1ZqJsJw7+PfeG2Iu8BAMBYAg1t8ULUTKgrR59umqAEqkUMNHpUfIOowaG6YR7FyCvB+p5qiK+5SlYNHvVSJLBSjFlondsHAL1yEI4Ie+ttwl5HMQvNN0Ss1K2vQ4I5K0M3neeqRsXZENcC9SJMSq4FZ0OID2OLg9N5VKuQQE7VKtdyREyAY9SoCJjELHwlUC+Jv6Nm1L50GcHpCkjHeFajueRy+hLMWwlUN1SDEYFlwgdUNwoIeVt9LSBtzoZsxywgRAI8SdZY1SuHj07fQM2gN18BvlGoLySpmQOQ1xq2CoBHEgB6URML93BBnJnPQEQ5hwsiEi55NoIUaC4kRt+gvg5pzFYvevz45AOKUXBXP3MS9qxNMYuLFc04i2ULaxTES5owAIpZGPsdJL+ZWOEhhKJQKReHvcbqqtC+RMHZQJT/EkIUZC5STCjmf52F2KYsHnPlZ4k3ggt+PArOC34vkPsHQlP+VsMVInsQUbYgPqknxVKS3qRjY86KSSFaoHMSIKcSA2J6M9/ZimZLzdRSriB9VjBlpc9ksT1qBpTn52sa0fmX+wlp3FK/y78ByKgxKplFqzw2Pi5ZFMi9escBWritfQUehwCRdBHw9YJEW/btnCy20JMhbis9i9doSwBI2pkTTVFiqUqexWtqjCbtzRTV2vosBkFZI4K+7/N3veeAWQ6+Cucn7fymbbKv+DYFB/N26m/Y2hY4wJiPKwjqcwriFu29tm0FhNOYbbcbsKUbghT4zPqhIZ/zb6gdG7aCi1EbdhLU3Apgey9I38OLyTFMxjn16ysmsyBgg5peDxxsFdjuwzd/wnwrJ4sS4hsipHu7bDuWrcd/223oWHotQQrcAiIUsYHoWaiQ21ZUfOW1nHzPV3LqfSCqj8lJZJoUz/h9UUbtdd6eS+XpmIKeKocFRdtcnfuQgFaVTG3Gv6mQTKbUZKqqrbjEPLahcjl0UiSjq47VvESaLF3DCmWet4Mucmmo3yFpgDCzuZATRipfsZpYI1K/IrOVa2LMRBb7kghaJvUz1+Snb6l16jsP18gJS5UIhJFwKwHXZPCX8ATocm2uXHWNgGuRsCUTweEKsLOQjjfGanwlcdSv8LSlJYevA0Lj4QaBigFRxkhSLA9Ze7RrDLRyeGEUXMgs3K6e5XR7wVhm2wA/83CNThBu2Y94tz+j9ChPBvN+oKUHL0NiH+bdBqPVWK40+jn1YRxV9nDuYLtsyM52trM72f31LLbIb7azIclbkNMnJn1Z5tL0okR9onUaI92cDQlawAeZsyFMXpPy9WkbPeVSabTi94mWL0f3vc6FUXGf8ckftVUB8nKS1qnI3kbyKKSc8G56RRyT+SnJ3kIt0tMXiJ4MeTjxyR09CV8JCC+ztqvIT8z8tOZsSNQ6jTHcmrYJj+wRBUByBkEWsn9g58pXSMVUrgJ5LE3hUdT56S5HbpD/dlVAUKrwLALxggqGe8fedhauVZMAp+Dv+5p0Q6KQnGB1+DLr4Rr2WgR7FkWRFemiYuLdxHF8o7/Gr2YPaQNnQ9xK4aCjJ/jlqKErhxAEDnsC78VsyGJosLQS+x1Fj5f1AfwGE8h6kMRHIeeGPAseq7Yb8d7sBepZljB82C+xWHKKKAjMuQ8P+yXWtsK6r3HUU5Xtuq7wXN59yX6/JouC/CYiNGO9iDw8IJ7NECjzwUhJqjr1ENYlOnsAwBsnEPN+AgMXbUNRf5nVniJiUljikEyEqssVJKdDw4op9+sK5o1DEjKOoj3zFuO+QtPWgATUIaXQpKUy65gZAJDSmABYrYx5IwYHNTIknetQ9OoB1NUautWQiwGqZ3j6cg29dnC1TmlP4tMgLoRIIgMA44GGmU25IFxLqluupipPw+Q17s1j4t+0OXWa4Nqgsu2oxiVNzoyUql1qQ9mBRO+P8rMWah1RmbTP9cOiXw1BnF1LN2BKB3fAOApsHndFv3I2pLRgZEptluYVpUNlJVBf5weQGoihrOJKUjej9KoagfHIpQyHsAK+CfB1SJOrm5Hg8s3bFZqxheBzGYSHHxT0KJI0YBglHAdpBlaWU/z3ZqMRRombNa1rmkWYyCamY2s98VHsAQt+cBijcGF7jENG7S5NDWtyhiP2YW0r/IuTX+LlTY+jlicLXX03hJHDFloyGJsDmEU6tEyRlr+Rw4gwbCArncrQARSU9/zY4JSnXjlI43JKNKZdi9/AOujrAUEJSD4hcrlBc1FDrjbk7TBsul761Ga0MrWpVw71Mk4WFtWCuTyiBginY9Vg8yt/rgaL5qZKGhYxPStHPYlZNJcWeiVRLSw8y+ZFrgrFhWQxACavVhDOo74+QJ0o7HNaM6Y0AcBei/Sd8lqrVmFCVV9aHA96L7l/Ai0XrbmK4iOmE9BrpPJwtaF0ZX0+oL6OdR1xspgyZY0vK9S3SbogDbUhbU43A0jbop5Jc66hNtS2XmhUXDYhPHk+Zi7QXITUJoRAf2rx6fOTxE7lNbGy11cCy1MCY+grBc96NOd83VxWDkp72LMWeimxZAq9+SJMSsxTX081zCCxdw603IfV2zP85Pn7EC9z4OYpDid/L1c8WfQ1Xt70GJ71+Ij74KzExnwbtU63bLLsAKbLkgJoVYKvymUGcVUKfo0S3T4vExicFCtVbaegNiKDrSKgC5jsK1QKrlUE4gLo75lCaKbFahE0FZ+QwBQ0ZTs1AUrF7REcFYFertVQ/AqwXGKrqX0uIFMMnrKdnIKyZpJFc1RitIpkNZ4DgYkWTykEIRgExZuqvKSKYCmAir2ijJ/ZK8Zc0LiKTX7SRStBZPG4x32RtFKj+297Ant5HrdxP8oUlvKF7CmYMhgL2BODcVVEPNkMg7hsn2s6Ytu2B9xMpeMye8S0bWcZwBWDoeO+h2KdFLNHQUg7k3jv8Uv83SkV9kDWsQAAAvtJREFUAIbaUzBTVOgf0Wyz1DPIhq7do0OWL6wNumrEp+IYpq2zpOB8H68KJY5HDupwhDntUs2IPlnjzx//far1AIA3H10mHAWAFMw86lc4alf4yCj80SMqLluaGi+ru2MBdgHOne1sZ3eye+tZbC9Dtj7MWIr4PoQpyrNUEXsF7iLjKUL6O/6j3/nbuA3GcpBmRdkfpKq/aKT2VLQHimOkPL8LSUOCvlccW+yfD9NX/px+Oy10E1IwjiADhEjxqugzOIfPabUyp5+U0CxSv5LGhQOzReXtqe9FEDAd8yvY1eNnZbulQlfsl3Bb20sVr0hpyX2RFtPHnZGvZH6KFarCYut88Daf+yVt3mfZN9L3EOk8ESM3oVhXpk7emBcCQUgIRzEFAICVKU4eYwgxPu+sAqxM322LsS1NWAFv5GQ8nFG4MB2CyYOwNnry98h0Aeu6wlpXcFZiacj72lidCtjuYvd2sri1DCkvwJIqL74XYrIMod8UQC0gU9wFXyA1c3Yi/qN2C1hdua+Qb0b6Id20IlCEPi6VvMK0PfB6lkc8KJEi85G3Me2Dt0GK6St/Hqnbbh0rMNkeK17L+pSvNE8Ue14jZwyisoKiTIYv/k59L66gdMyvkCqIn8X3dIzTfokCk5I38osLeew0Xw5FnwAAlZ/0J+2bGbeDxtb5AEKVsyEpiyKmsZiIDPU65OtFMuDMA101JkLeUAVAe3itMKtp5hq1T8uQtqJts4qWIUo7eK1Q83f99jFFU4CsiEgpTha6dnhQrSDrPLv0tcFl8XfN7/t6hBABUgU0mrlMg4B8jQCn+Aef4L8jE0K8ALAE8PL33ZffsZ1gd8x/CHafj/mdEMLDu3zxXkwWACCE+NsQwj//fffjd2m7Y/7DsO/KMe8CnDvb2c7uZLvJYmc729md7D5NFv/5992B34PtjvkPw74Tx3xvYhY729nO7rfdJ89iZzvb2T223WSxs53t7E62myx2trOd3cl2k8XOdrazO9lustjZznZ2J/v/BwHLD/nkcV4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.749770164489746 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 0.01} is: \n",
      "[[  32.972864     16.            0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [  16.           33.05776064    0.         ...    0.\n",
      "     0.            0.        ]\n",
      " [   0.            0.           32.972864   ...   32.972864\n",
      "    32.972864     32.972864  ]\n",
      " ...\n",
      " [   0.            0.           32.972864   ... 3472.20027986\n",
      "  3370.10823335 3445.0014973 ]\n",
      " [   0.            0.           32.972864   ... 3370.10823335\n",
      "  3286.04208239 3363.15539345]\n",
      " [   0.            0.           32.972864   ... 3445.0014973\n",
      "  3363.15539345 3644.95802609]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 52.6299684047699 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 0.1} is: \n",
      "[[   42.944         16.             0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [   16.            44.3264         0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [    0.             0.            42.944      ...    42.944\n",
      "     42.944         42.944     ]\n",
      " ...\n",
      " [    0.             0.            42.944      ...  8346.13431859\n",
      "   8037.8729408   6232.308736  ]\n",
      " [    0.             0.            42.944      ...  8037.8729408\n",
      "   8507.94753363  6732.5824384 ]\n",
      " [    0.             0.            42.944      ...  6232.308736\n",
      "   6732.5824384  11086.190464  ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c144390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 52.260963439941406 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1.0} is: \n",
      "[[3.2000000e+02 1.6000000e+01 0.0000000e+00 ... 0.0000000e+00\n",
      "  0.0000000e+00 0.0000000e+00]\n",
      " [1.6000000e+01 5.3600000e+02 0.0000000e+00 ... 0.0000000e+00\n",
      "  0.0000000e+00 0.0000000e+00]\n",
      " [0.0000000e+00 0.0000000e+00 3.2000000e+02 ... 3.2000000e+02\n",
      "  3.2000000e+02 3.2000000e+02]\n",
      " ...\n",
      " [0.0000000e+00 0.0000000e+00 3.2000000e+02 ... 3.9599184e+07\n",
      "  1.8790076e+07 1.9904800e+05]\n",
      " [0.0000000e+00 0.0000000e+00 3.2000000e+02 ... 1.8790076e+07\n",
      "  4.5132236e+07 5.0194600e+05]\n",
      " [0.0000000e+00 0.0000000e+00 3.2000000e+02 ... 1.9904800e+05\n",
      "  5.0194600e+05 4.7488000e+06]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.67429780960083 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 10.0} is: \n",
      "[[7.77920000e+04 1.60000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+01 8.18672000e+05 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 7.77920000e+04 ... 7.77920000e+04\n",
      "  7.77920000e+04 7.77920000e+04]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 7.77920000e+04 ... 1.39109795e+16\n",
      "  7.18668723e+14 4.54391680e+09]\n",
      " [0.00000000e+00 0.00000000e+00 7.77920000e+04 ... 7.18668723e+14\n",
      "  1.42558312e+16 9.54906688e+10]\n",
      " [0.00000000e+00 0.00000000e+00 7.77920000e+04 ... 4.54391680e+09\n",
      "  9.54906688e+10 2.40390375e+12]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e59b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.85410976409912 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 100.0} is: \n",
      "[[6.52896320e+07 1.60000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+01 6.56177043e+09 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.52896320e+07 ... 6.52896320e+07\n",
      "  6.52896320e+07 6.52896320e+07]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.52896320e+07 ... 9.71197172e+25\n",
      "  4.87507385e+23 2.94958331e+15]\n",
      " [0.00000000e+00 0.00000000e+00 6.52896320e+07 ... 4.87507385e+23\n",
      "  9.73625794e+25 6.40475930e+17]\n",
      " [0.00000000e+00 0.00000000e+00 6.52896320e+07 ... 2.94958331e+15\n",
      "  6.40475930e+17 1.60897659e+19]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb246377f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.49191212654114 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1000.0} is: \n",
      "[[6.41280960e+10 1.60000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+01 6.41601761e+13 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.41280960e+10 ... 6.41280960e+10\n",
      "  6.41280960e+10 6.41280960e+10]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.41280960e+10 ... 9.36859917e+35\n",
      "  4.68617006e+32 2.82902806e+21]\n",
      " [0.00000000e+00 0.00000000e+00 6.41280960e+10 ... 4.68617006e+32\n",
      "  9.37094141e+35 6.16941595e+24]\n",
      " [0.00000000e+00 0.00000000e+00 6.41280960e+10 ... 2.82902806e+21\n",
      "  6.16941595e+24 1.54317278e+26]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.46095323562622 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 10000.0} is: \n",
      "[[6.40128010e+13 1.60000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+01 6.40160018e+17 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.40128010e+13 ... 6.40128010e+13\n",
      "  6.40128010e+13 6.40128010e+13]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.40128010e+13 ... 9.33493322e+45\n",
      "  4.66765328e+41 2.81729956e+27]\n",
      " [0.00000000e+00 0.00000000e+00 6.40128010e+13 ... 4.66765328e+41\n",
      "  9.33516660e+45 6.14653512e+31]\n",
      " [0.00000000e+00 0.00000000e+00 6.40128010e+13 ... 2.81729956e+27\n",
      "  6.14653512e+31 1.53671604e+33]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f81d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.47657823562622 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 100000.0} is: \n",
      "[[6.40012800e+16 1.60000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+01 6.40016000e+21 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.40012800e+16 ... 6.40012800e+16\n",
      "  6.40012800e+16 6.40012800e+16]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.40012800e+16 ... 9.33157326e+55\n",
      "  4.66580529e+50 2.81612992e+33]\n",
      " [0.00000000e+00 0.00000000e+00 6.40012800e+16 ... 4.66580529e+50\n",
      "  9.33159658e+55 6.14425345e+38]\n",
      " [0.00000000e+00 0.00000000e+00 6.40012800e+16 ... 2.81612992e+33\n",
      "  6.14425345e+38 1.53607159e+40]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.4469039440155 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1000000.0} is: \n",
      "[[6.40001280e+19 1.60000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+01 6.40001600e+25 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.40001280e+19 ... 6.40001280e+19\n",
      "  6.40001280e+19 6.40001280e+19]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.40001280e+19 ... 9.33123732e+65\n",
      "  4.66562053e+59 2.81601299e+39]\n",
      " [0.00000000e+00 0.00000000e+00 6.40001280e+19 ... 4.66562053e+59\n",
      "  9.33123966e+65 6.14402534e+45]\n",
      " [0.00000000e+00 0.00000000e+00 6.40001280e+19 ... 2.81601299e+39\n",
      "  6.14402534e+45 1.53600716e+47]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.54963159561157 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 10000000.0} is: \n",
      "[[6.40000128e+22 1.60000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+01 6.40000160e+29 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.40000128e+22 ... 6.40000128e+22\n",
      "  6.40000128e+22 6.40000128e+22]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.40000128e+22 ... 9.33120373e+75\n",
      "  4.66560205e+68 2.81600130e+45]\n",
      " [0.00000000e+00 0.00000000e+00 6.40000128e+22 ... 4.66560205e+68\n",
      "  9.33120397e+75 6.14400253e+52]\n",
      " [0.00000000e+00 0.00000000e+00 6.40000128e+22 ... 2.81600130e+45\n",
      "  6.14400253e+52 1.53600072e+54]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2466cb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 49.59786868095398 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 100000000.0} is: \n",
      "[[6.40000013e+25 1.60000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+01 6.40000016e+33 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.40000013e+25 ... 6.40000013e+25\n",
      "  6.40000013e+25 6.40000013e+25]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.40000013e+25 ... 9.33120037e+85\n",
      "  4.66560021e+77 2.81600013e+51]\n",
      " [0.00000000e+00 0.00000000e+00 6.40000013e+25 ... 4.66560021e+77\n",
      "  9.33120040e+85 6.14400025e+59]\n",
      " [0.00000000e+00 0.00000000e+00 6.40000013e+25 ... 2.81600013e+51\n",
      "  6.14400025e+59 1.53600007e+61]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe26a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 50.56888294219971 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 1000000000.0} is: \n",
      "[[6.40000001e+28 1.60000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [1.60000000e+01 6.40000002e+37 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.40000001e+28 ... 6.40000001e+28\n",
      "  6.40000001e+28 6.40000001e+28]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.40000001e+28 ... 9.33120004e+95\n",
      "  4.66560002e+86 2.81600001e+57]\n",
      " [0.00000000e+00 0.00000000e+00 6.40000001e+28 ... 4.66560002e+86\n",
      "  9.33120004e+95 6.14400003e+66]\n",
      " [0.00000000e+00 0.00000000e+00 6.40000001e+28 ... 2.81600001e+57\n",
      "  6.14400003e+66 1.53600001e+68]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 52.24024176597595 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 4.0, 'lmda': 10000000000.0} is: \n",
      "[[6.4000e+031 1.6000e+001 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [1.6000e+001 6.4000e+041 0.0000e+000 ... 0.0000e+000 0.0000e+000\n",
      "  0.0000e+000]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+031 ... 6.4000e+031 6.4000e+031\n",
      "  6.4000e+031]\n",
      " ...\n",
      " [0.0000e+000 0.0000e+000 6.4000e+031 ... 9.3312e+105 4.6656e+095\n",
      "  2.8160e+063]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+031 ... 4.6656e+095 9.3312e+105\n",
      "  6.1440e+073]\n",
      " [0.0000e+000 0.0000e+000 6.4000e+031 ... 2.8160e+063 6.1440e+073\n",
      "  1.5360e+075]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 82.40116333961487 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1e-10} is: \n",
      "[[1.45000000e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 1.24000000e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.45000000e+02 ... 1.61000000e+02\n",
      "  1.61000000e+02 1.61000000e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.61000000e+02 ... 1.67010000e+04\n",
      "  1.65970000e+04 1.62110001e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61000000e+02 ... 1.65970000e+04\n",
      "  1.65150000e+04 1.61070001e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61000000e+02 ... 1.62110001e+04\n",
      "  1.61070001e+04 1.58470001e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24637da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 60.26471400260925 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1e-09} is: \n",
      "[[1.45000001e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 1.24000001e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.45000001e+02 ... 1.61000001e+02\n",
      "  1.61000001e+02 1.61000001e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.61000001e+02 ... 1.67010005e+04\n",
      "  1.65970005e+04 1.62110005e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61000001e+02 ... 1.65970005e+04\n",
      "  1.65150005e+04 1.61070006e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61000001e+02 ... 1.62110005e+04\n",
      "  1.61070006e+04 1.58470011e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461aeb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 60.560508012771606 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1e-08} is: \n",
      "[[1.45000011e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 1.24000012e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.45000011e+02 ... 1.61000011e+02\n",
      "  1.61000011e+02 1.61000011e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.61000011e+02 ... 1.67010048e+04\n",
      "  1.65970047e+04 1.62110055e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61000011e+02 ... 1.65970047e+04\n",
      "  1.65150049e+04 1.61070058e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61000011e+02 ... 1.62110055e+04\n",
      "  1.61070058e+04 1.58470105e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 61.513394832611084 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1e-07} is: \n",
      "[[1.45000110e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 1.24000118e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.45000110e+02 ... 1.61000110e+02\n",
      "  1.61000110e+02 1.61000110e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.61000110e+02 ... 1.67010478e+04\n",
      "  1.65970472e+04 1.62110547e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61000110e+02 ... 1.65970472e+04\n",
      "  1.65150491e+04 1.61070579e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61000110e+02 ... 1.62110547e+04\n",
      "  1.61070579e+04 1.58471053e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 59.259434938430786 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1e-06} is: \n",
      "[[1.45001104e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 1.24001184e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.45001104e+02 ... 1.61001104e+02\n",
      "  1.61001104e+02 1.61001104e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.61001104e+02 ... 1.67014776e+04\n",
      "  1.65974719e+04 1.62115469e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61001104e+02 ... 1.65974719e+04\n",
      "  1.65154913e+04 1.61075786e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61001104e+02 ... 1.62115469e+04\n",
      "  1.61075786e+04 1.58480531e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 59.096699714660645 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1e-05} is: \n",
      "[[1.45011040e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 1.24011841e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.45011040e+02 ... 1.61011040e+02\n",
      "  1.61011040e+02 1.61011040e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.61011040e+02 ... 1.67057768e+04\n",
      "  1.66017196e+04 1.62164699e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61011040e+02 ... 1.66017196e+04\n",
      "  1.65199140e+04 1.61127872e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61011040e+02 ... 1.62164699e+04\n",
      "  1.61127872e+04 1.58575342e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 58.009583950042725 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 0.0001} is: \n",
      "[[1.45110420e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 1.24118460e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.45110420e+02 ... 1.61110420e+02\n",
      "  1.61110420e+02 1.61110420e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.61110420e+02 ... 1.67488609e+04\n",
      "  1.66442755e+04 1.62657545e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61110420e+02 ... 1.66442755e+04\n",
      "  1.65642284e+04 1.61649561e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.61110420e+02 ... 1.62657545e+04\n",
      "  1.61649561e+04 1.59526266e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c1443c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 58.62494492530823 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 0.001} is: \n",
      "[[1.46106049e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 1.25190017e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.46106049e+02 ... 1.62106049e+02\n",
      "  1.62106049e+02 1.62106049e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.62106049e+02 ... 1.71890463e+04\n",
      "  1.70778052e+04 1.67641098e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.62106049e+02 ... 1.70778052e+04\n",
      "  1.70162400e+04 1.66950729e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.62106049e+02 ... 1.67641098e+04\n",
      "  1.66950729e+04 1.69322250e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 57.8918981552124 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 0.01} is: \n",
      "[[1.56246080e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 1.36457170e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.56246080e+02 ... 1.72246080e+02\n",
      "  1.72246080e+02 1.72246080e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.72246080e+02 ... 2.26768195e+04\n",
      "  2.23045489e+04 2.23285833e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.72246080e+02 ... 2.23045489e+04\n",
      "  2.25500437e+04 2.29275891e+04]\n",
      " [2.00000000e+01 2.00000000e+01 1.72246080e+02 ... 2.23285833e+04\n",
      "  2.29275891e+04 3.01003948e+04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 58.05191445350647 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 0.1} is: \n",
      "[[2.77160000e+02 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 3.22271949e+02 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 2.77160000e+02 ... 2.93160000e+02\n",
      "  2.93160000e+02 2.93160000e+02]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 2.93160000e+02 ... 6.95075231e+05\n",
      "  3.75446134e+05 1.77422769e+05]\n",
      " [2.00000000e+01 2.00000000e+01 2.93160000e+02 ... 3.75446134e+05\n",
      "  6.06927235e+05 3.37486233e+05]\n",
      " [2.00000000e+01 2.00000000e+01 2.93160000e+02 ... 1.77422769e+05\n",
      "  3.37486233e+05 1.90218793e+06]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461aeb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 58.13757634162903 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1.0} is: \n",
      "[[4.57700000e+03 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 8.91640000e+04 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.57700000e+03 ... 4.59300000e+03\n",
      "  4.59300000e+03 4.59300000e+03]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.59300000e+03 ... 2.01159621e+13\n",
      "  3.10057363e+11 2.42784376e+09]\n",
      " [2.00000000e+01 2.00000000e+01 4.59300000e+03 ... 3.10057363e+11\n",
      "  4.70005886e+13 3.01441455e+10]\n",
      " [2.00000000e+01 2.00000000e+01 4.59300000e+03 ... 2.42784376e+09\n",
      "  3.01441455e+10 4.04190794e+12]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 59.23965072631836 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 10.0} is: \n",
      "[[1.49598500e+06 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 3.44783080e+10 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.49598500e+06 ... 1.49600100e+06\n",
      "  1.49600100e+06 1.49600100e+06]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.49600100e+06 ... 1.13768199e+29\n",
      "  3.31210879e+22 9.96117761e+18]\n",
      " [2.00000000e+01 2.00000000e+01 1.49600100e+06 ... 3.31210879e+22\n",
      "  4.45961208e+29 8.59201597e+20]\n",
      " [2.00000000e+01 2.00000000e+01 1.49600100e+06 ... 9.96117761e+18\n",
      "  8.59201597e+20 4.16855423e+24]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 58.99919033050537 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 100.0} is: \n",
      "[[1.30059054e+09 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 2.16311217e+17 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.30059054e+09 ... 1.30059056e+09\n",
      "  1.30059056e+09 1.30059056e+09]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.30059056e+09 ... 4.75063841e+47\n",
      "  6.90580493e+35 4.43539095e+30]\n",
      " [2.00000000e+01 2.00000000e+01 1.30059056e+09 ... 6.90580493e+35\n",
      "  1.89563663e+48 4.03114835e+33]\n",
      " [2.00000000e+01 2.00000000e+01 1.30059056e+09 ... 4.43539095e+30\n",
      "  4.03114835e+33 1.44634079e+39]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 57.70133352279663 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1000.0} is: \n",
      "[[1.28204910e+12 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 2.05928848e+24 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.28204910e+12 ... 1.28204910e+12\n",
      "  1.28204910e+12 1.28204910e+12]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.28204910e+12 ... 4.34301799e+66\n",
      "  5.56520941e+49 4.06947164e+42]\n",
      " [2.00000000e+01 2.00000000e+01 1.28204910e+12 ... 5.56520941e+49\n",
      "  1.73677414e+67 3.72852519e+46]\n",
      " [2.00000000e+01 2.00000000e+01 1.28204910e+12 ... 4.06947164e+42\n",
      "  3.72852519e+46 1.29135037e+54]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 58.04664945602417 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 10000.0} is: \n",
      "[[1.28020481e+15 6.60000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [6.60000000e+01 2.04912664e+31 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 1.28020481e+15 ... 1.28020481e+15\n",
      "  1.28020481e+15 1.28020481e+15]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 1.28020481e+15 ... 4.30411880e+85\n",
      "  5.44017562e+63 4.03435025e+54]\n",
      " [2.00000000e+01 2.00000000e+01 1.28020481e+15 ... 5.44017562e+63\n",
      "  1.72160449e+86 3.69944820e+59]\n",
      " [2.00000000e+01 2.00000000e+01 1.28020481e+15 ... 4.03435025e+54\n",
      "  3.69944820e+59 1.27668843e+69]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 57.89458084106445 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 100000.0} is: \n",
      "[[1.28002048e+018 6.60000000e+001 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [6.60000000e+001 2.04811264e+038 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [4.00000000e+000 4.00000000e+000 1.28002048e+018 ... 1.28002048e+018\n",
      "  1.28002048e+018 1.28002048e+018]\n",
      " ...\n",
      " [2.00000000e+001 2.00000000e+001 1.28002048e+018 ... 4.30024696e+104\n",
      "  5.42775940e+077 4.03085248e+066]\n",
      " [2.00000000e+001 2.00000000e+001 1.28002048e+018 ... 5.42775940e+077\n",
      "  1.72009448e+105 3.69655206e+072]\n",
      " [2.00000000e+001 2.00000000e+001 1.28002048e+018 ... 4.03085248e+066\n",
      "  3.69655206e+072 1.27523034e+084]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 58.90051460266113 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1000000.0} is: \n",
      "[[1.28000205e+021 6.60000000e+001 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [6.60000000e+001 2.04801126e+045 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [4.00000000e+000 4.00000000e+000 1.28000205e+021 ... 1.28000205e+021\n",
      "  1.28000205e+021 1.28000205e+021]\n",
      " ...\n",
      " [2.00000000e+001 2.00000000e+001 1.28000205e+021 ... 4.29985996e+123\n",
      "  5.42651865e+091 4.03050285e+078]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000205e+021 ... 5.42651865e+091\n",
      "  1.71994355e+124 3.69626257e+085]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000205e+021 ... 4.03050285e+078\n",
      "  3.69626257e+085 1.27508461e+099]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461aeb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../pygraph/kernels/treePatternKernel.py:150: RuntimeWarning: overflow encountered in double_scalars\n",
      "  kh_tmp *= lmda * all_kh[str(pair[0]) + '.' + str(pair[1])]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 57.89000582695007 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 10000000.0} is: \n",
      "[[1.28000020e+024 6.60000000e+001 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [6.60000000e+001 2.04800113e+052 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [4.00000000e+000 4.00000000e+000 1.28000020e+024 ... 1.28000020e+024\n",
      "  1.28000020e+024 1.28000020e+024]\n",
      " ...\n",
      " [2.00000000e+001 2.00000000e+001 1.28000020e+024 ... 4.29982126e+142\n",
      "  5.42639459e+105 4.03046788e+090]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000020e+024 ... 5.42639459e+105\n",
      "  1.71992846e+143 3.69623362e+098]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000020e+024 ... 4.03046788e+090\n",
      "  3.69623362e+098 1.27507004e+114]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c144390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 61.51721000671387 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 100000000.0} is: \n",
      "[[1.28000002e+027 6.60000000e+001 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [6.60000000e+001 2.04800011e+059 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [4.00000000e+000 4.00000000e+000 1.28000002e+027 ... 1.28000002e+027\n",
      "  1.28000002e+027 1.28000002e+027]\n",
      " ...\n",
      " [2.00000000e+001 2.00000000e+001 1.28000002e+027 ... 4.29981739e+161\n",
      "  5.42638218e+119 4.03046439e+102]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000002e+027 ... 5.42638218e+119\n",
      "  1.71992695e+162 3.69623072e+111]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000002e+027 ... 4.03046439e+102\n",
      "  3.69623072e+111 1.27506858e+129]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb65cd1588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 60.46738958358765 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 1000000000.0} is: \n",
      "[[1.28000000e+030 6.60000000e+001 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [6.60000000e+001 2.04800001e+066 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [4.00000000e+000 4.00000000e+000 1.28000000e+030 ... 1.28000000e+030\n",
      "  1.28000000e+030 1.28000000e+030]\n",
      " ...\n",
      " [2.00000000e+001 2.00000000e+001 1.28000000e+030 ... 4.29981700e+180\n",
      "  5.42638094e+133 4.03046404e+114]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000000e+030 ... 5.42638094e+133\n",
      "  1.71992680e+181 3.69623043e+124]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000000e+030 ... 4.03046404e+114\n",
      "  3.69623043e+124 1.27506843e+144]]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQsAAAECCAYAAADpWvKaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAACthJREFUeJzt3U9onHUex/HPR1MjiqKlu6Hrn60ruehhQwnqQZaKrLa9RA9b6sUiQjzU217qSY9eiiCshQql9aBueyj20FVDLp78U6G4VVYMGrWxNu52cRdlq2m/e5hfcKgZ8+08mXnmz/sFYWaeTDLfX6NvnmfyzMQRIQBYzRV1DwCgPxALACnEAkAKsQCQQiwApBALACm1x8L2Vtsf256zvafueTrF9rztv9s+aftE2bbe9oztT8rljXXPWYXtA7YXbZ9q2rbiGt3wfPm5f2B7c32Tt6/Fmp+xvVB+1idtb2/63FNlzR/bfrCeqdtTayxsXynpL5K2SbpD0iO276hzpg67LyImImKy3N4jaTYixiXNltv97KCkrZdsa7XGbZLGy8e0pH1dmnGtHdTP1yxJz5Wf9UREHJek8t/2Tkl3lq95ofw/0Bfq3rO4S9JcRHwaET9IelXSVM0zddOUpEPl+iFJD9U4S2UR8Zakc5dsbrXGKUkvRcPbkm6wvbE7k66dFmtuZUrSqxFxPiI+kzSnxv8DfaHuWNwk6cum26fLtkEUkt60/b7t6bJtLCLOlOtfSxqrZ7SOarXGQf/ZP1kOrw40HV729ZrrjsUwuTciNqux+73b9h+aPxmN8+4H+tz7YVhjsU/S7ZImJJ2RtLfecdZG3bFYkHRL0+2by7aBExEL5XJR0lE1dj/PLu96l8vF+ibsmFZrHNiffUScjYgLEXFR0ov66VCjr9dcdyzekzRu+zbbV6nx5M+xmmdac7avtX3d8nVJD0g6pcZad5W77ZL0Wj0TdlSrNR6T9Gj5rcg9kr5tOlzpa5c89/KwGj9rqbHmnbZHbd+mxpO773Z7vnaN1PngEbFk+0lJb0i6UtKBiPiwzpk6ZEzSUdtS49/85Yh43fZ7kg7bflzS55J21DhjZbZfkbRF0gbbpyU9LelZrbzG45K2q/Ek3/eSHuv6wGugxZq32J5Q45BrXtITkhQRH9o+LOkjSUuSdkfEhTrmbod5iTqAjLoPQwD0CWIBIIVYAEghFgBSiAWAlI7F4nJfTdp0CvTQYM3DYVDW3JFYtPlq0oH4B71MrHk4DMSaO7VnMeyvJgUGTqfO4Fzp1XV3t7rzVR6Nq3WNrvf6oTpDjDUPh15e8//0nX6I887ct7bTvctx3LTU+Me896c3EwLQJe/EbPq+nToMWfXVdRGxPyImI2JynUY7NAaAtdKpWAzFq0mBYdKRw5AhejUpMDQ69pxFeZPS4536/gC6izM4AaQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkEIsAKQQCwApxAJACrEAkDJS5Yttz0v6r6QLkpYiYtL2ekl/lbRJ0rykHRHx72pjAqjbWuxZ3BcRExExWW7vkTQbEeOSZsttAH2uE4chU5IOleuHJD3UgccA0GVVYxGS3rT9vu3psm0sIs6U619LGqv4GAB6QKXnLCTdGxELtn8tacb2P5o/GRFhO1b6whKXaUm6WtdUHANAp1Xas4iIhXK5KOmopLsknbW9UZLK5WKLr90fEZMRMblOo1XGANAFbcfC9rW2r1u+LukBSackHZO0q9xtl6TXqg4JoH5VDkPGJB21vfx9Xo6I122/J+mw7cclfS5pR/UxAdSt7VhExKeSfr/C9n9Jur/KUAB6D2dwAkghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAEghFhhII5tu1cimW+seY6CM1D0A0AlL81/UPcLAYc8CQAqxAJBCLACkEAsAKcQCQAqxAJBCLACkEAsAKcQCQMqqsbB9wPai7VNN29bbnrH9Sbm8sWy37edtz9n+wPbmTg4PoHsyexYHJW29ZNseSbMRMS5pttyWpG2SxsvHtKR9azMmgLqtGouIeEvSuUs2T0k6VK4fkvRQ0/aXouFtSTfY3rhWwwKoT7vPWYxFxJly/WtJY+X6TZK+bLrf6bINQJ+r/ARnRISkuNyvsz1t+4TtEz/qfNUxAHRYu7E4u3x4US4Xy/YFSbc03e/msu1nImJ/RExGxOQ6jbY5BoBuaTcWxyTtKtd3SXqtafuj5bci90j6tulwBUAfW/XNb2y/ImmLpA22T0t6WtKzkg7bflzS55J2lLsfl7Rd0pyk7yU91oGZAdRg1VhExCMtPnX/CvcNSburDgWg93AGJ4AUYgEghVgASCEWAFKIBYAUYgEghVgASCEWAFKIBYAUYgEghVgASCEWAFKIBYAUYgEghVgASCEWAFKIBYAUYgEghVgASCEWAFKIBdoysunWukf4RTMXj2jm4pGen7OfEAsAKav+KQBgJUvzX9Q9wi/a9rs/S5L+9ule/fGKP9U8zWAgFhhIyzEjFGuHwxAAKcQCQAqxAJBCLACkEAsAKcQCQAqxwFCbuXik7hH6BrHAUOM8jDxiASCFWABIIRYAUogFgBRiAaxgEH9LUnVNxAJYwSD+lqTqmogFgBRiASCFWABIIRYAUogFgBRiASCFWABIIRYAUogFgBRiAVRU5TTqqqdgd/O0dEdE1x6sleu9Pu72/XWPAQydd2JW/4lzztyXPQsAKcQCQAqxAJCyaixsH7C9aPtU07ZnbC/YPlk+tjd97inbc7Y/tv1gpwYH0F2ZPYuDkrausP25iJgoH8clyfYdknZKurN8zQu2r1yrYQHUZ9VYRMRbks4lv9+UpFcj4nxEfCZpTtJdFeYD0COqPGfxpO0PymHKjWXbTZK+bLrP6bINQJ9rNxb7JN0uaULSGUl7L/cb2J62fcL2iR91vs0xAHRLW7GIiLMRcSEiLkp6UT8daixIuqXprjeXbSt9j/0RMRkRk+s02s4YALqorVjY3th082FJy78pOSZpp+1R27dJGpf0brURAfSCkdXuYPsVSVskbbB9WtLTkrbYnpAUkuYlPSFJEfGh7cOSPpK0JGl3RFzozOgAuonXhgBDjNeGAFhzxAKoiJeodxGHIRhmHhlRLC3V8tgchgB9JJaWNHPxSM//fVViASBl1V+dAui8fvhDzOxZAEghFgBSiAWAFGIBIIVYAEghFgBSiAWAFGIBIIVYAH3mja9O6o2vTnb9cYkFgBRO9wb6zIO/majlcdmzACri/Sy6iPezAOrB+1kAWHPEAkAKsQCQQiwApBALACnEAkAKsQCQQiwApBALACnEAlhBr//Bn3ZUXROxAFbQD3/H43JVXROxAJBCLACkEAsAKcQCQEpPvJ+F7W8kfSfpn3XP0mUbxJqHQS+v+bcR8avMHXsiFpJk+0RETNY9Rzex5uEwKGvmMARACrEAkNJLsdhf9wA1YM3DYSDW3DPPWQDobb20ZwGghxELACnEAkAKsQCQQiwApPwfD7fF6sxH+mIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb68902ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 58.43429613113403 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'untiln', 'h': 5.0, 'lmda': 10000000000.0} is: \n",
      "[[1.28000000e+033 6.60000000e+001 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [6.60000000e+001 2.04800000e+073 4.00000000e+000 ... 2.00000000e+001\n",
      "  2.00000000e+001 2.00000000e+001]\n",
      " [4.00000000e+000 4.00000000e+000 1.28000000e+033 ... 1.28000000e+033\n",
      "  1.28000000e+033 1.28000000e+033]\n",
      " ...\n",
      " [2.00000000e+001 2.00000000e+001 1.28000000e+033 ... 4.29981696e+199\n",
      "  5.42638081e+147 4.03046400e+126]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000000e+033 ... 5.42638081e+147\n",
      "  1.71992679e+200 3.69623040e+137]\n",
      " [2.00000000e+001 2.00000000e+001 1.28000000e+033 ... 4.03046400e+126\n",
      "  3.69623040e+137 1.27506842e+159]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe26a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 53.51155614852905 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1e-10} is: \n",
      "[[8.0000e-39 2.4000e-39 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [2.4000e-39 5.2000e-39 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-39 ... 8.0000e-39 8.0000e-39 8.0000e-39]\n",
      " ...\n",
      " [0.0000e+00 0.0000e+00 8.0000e-39 ... 1.2052e-36 1.2052e-36 1.1662e-36]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-39 ... 1.2052e-36 1.2068e-36 1.1666e-36]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-39 ... 1.1662e-36 1.1666e-36 1.1376e-36]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb5d7e25c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 53.128520250320435 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1e-09} is: \n",
      "[[8.0000e-35 2.4000e-35 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [2.4000e-35 5.2000e-35 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-35 ... 8.0000e-35 8.0000e-35 8.0000e-35]\n",
      " ...\n",
      " [0.0000e+00 0.0000e+00 8.0000e-35 ... 1.2052e-32 1.2052e-32 1.1662e-32]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-35 ... 1.2052e-32 1.2068e-32 1.1666e-32]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-35 ... 1.1662e-32 1.1666e-32 1.1376e-32]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c1443c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.308215856552124 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1e-08} is: \n",
      "[[8.0000e-31 2.4000e-31 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [2.4000e-31 5.2000e-31 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-31 ... 8.0000e-31 8.0000e-31 8.0000e-31]\n",
      " ...\n",
      " [0.0000e+00 0.0000e+00 8.0000e-31 ... 1.2052e-28 1.2052e-28 1.1662e-28]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-31 ... 1.2052e-28 1.2068e-28 1.1666e-28]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-31 ... 1.1662e-28 1.1666e-28 1.1376e-28]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.26672148704529 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1e-07} is: \n",
      "[[8.0000e-27 2.4000e-27 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [2.4000e-27 5.2000e-27 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-27 ... 8.0000e-27 8.0000e-27 8.0000e-27]\n",
      " ...\n",
      " [0.0000e+00 0.0000e+00 8.0000e-27 ... 1.2052e-24 1.2052e-24 1.1662e-24]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-27 ... 1.2052e-24 1.2068e-24 1.1666e-24]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-27 ... 1.1662e-24 1.1666e-24 1.1376e-24]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe2ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.09047985076904 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1e-06} is: \n",
      "[[8.0000e-23 2.4000e-23 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [2.4000e-23 5.2000e-23 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-23 ... 8.0000e-23 8.0000e-23 8.0000e-23]\n",
      " ...\n",
      " [0.0000e+00 0.0000e+00 8.0000e-23 ... 1.2052e-20 1.2052e-20 1.1662e-20]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-23 ... 1.2052e-20 1.2068e-20 1.1666e-20]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-23 ... 1.1662e-20 1.1666e-20 1.1376e-20]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256e1c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.712746143341064 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1e-05} is: \n",
      "[[8.0000e-19 2.4000e-19 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [2.4000e-19 5.2000e-19 0.0000e+00 ... 0.0000e+00 0.0000e+00 0.0000e+00]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-19 ... 8.0000e-19 8.0000e-19 8.0000e-19]\n",
      " ...\n",
      " [0.0000e+00 0.0000e+00 8.0000e-19 ... 1.2052e-16 1.2052e-16 1.1662e-16]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-19 ... 1.2052e-16 1.2068e-16 1.1666e-16]\n",
      " [0.0000e+00 0.0000e+00 8.0000e-19 ... 1.1662e-16 1.1666e-16 1.1376e-16]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb68902ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 53.57017707824707 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 0.0001} is: \n",
      "[[8.00000006e-15 2.40000000e-15 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [2.40000000e-15 5.20000004e-15 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 8.00000006e-15 ... 8.00000006e-15\n",
      "  8.00000006e-15 8.00000006e-15]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 8.00000006e-15 ... 1.20520001e-12\n",
      "  1.20520001e-12 1.16620001e-12]\n",
      " [0.00000000e+00 0.00000000e+00 8.00000006e-15 ... 1.20520001e-12\n",
      "  1.20680001e-12 1.16660001e-12]\n",
      " [0.00000000e+00 0.00000000e+00 8.00000006e-15 ... 1.16620001e-12\n",
      "  1.16660001e-12 1.13760001e-12]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688e5208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 53.36650323867798 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 0.001} is: \n",
      "[[8.00000640e-11 2.40000000e-11 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [2.40000000e-11 5.20000400e-11 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 8.00000640e-11 ... 8.00000640e-11\n",
      "  8.00000640e-11 8.00000640e-11]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 8.00000640e-11 ... 1.20520111e-08\n",
      "  1.20520114e-08 1.16620086e-08]\n",
      " [0.00000000e+00 0.00000000e+00 8.00000640e-11 ... 1.20520114e-08\n",
      "  1.20680118e-08 1.16660090e-08]\n",
      " [0.00000000e+00 0.00000000e+00 8.00000640e-11 ... 1.16620086e-08\n",
      "  1.16660090e-08 1.13760101e-08]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 53.98498606681824 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 0.01} is: \n",
      "[[8.00064002e-07 2.40000000e-07 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [2.40000000e-07 5.20040005e-07 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 8.00064002e-07 ... 8.00064002e-07\n",
      "  8.00064002e-07 8.00064002e-07]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 8.00064002e-07 ... 1.20531122e-04\n",
      "  1.20531398e-04 1.16628618e-04]\n",
      " [0.00000000e+00 0.00000000e+00 8.00064002e-07 ... 1.20531398e-04\n",
      "  1.20691794e-04 1.16669014e-04]\n",
      " [0.00000000e+00 0.00000000e+00 8.00064002e-07 ... 1.16628618e-04\n",
      "  1.16669014e-04 1.13770133e-04]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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m9vp5TIdGn/R8lWkkI0eFyjkx3J31RK6/VesUqccm55pj/QB2o7TdmoUngamq6A05cHJYxxdXteM4XZtsRGzfOEtHgHVxmO+TmCKz5F1ecOJ2uxMN0fu0MwvkQPOZJJ/ZBf4ALVzlm7lY7MuA3GFYSvFsxWFMLzGNDkw0Cx76/ZqF3RkgLxt1HXizrViiqHmIZgHETenPXs0ioRDvxXEABfMQAuDSre776oGt0JbRwXXuIM0C1pkI5GvsQ2VW8wuUOTKQ9qrfCdVoLixz5NvyObAX7r2zkNrIwi2ahR6jrpVIT4igWQdsywq+o5mle8khwi0XlTPytWsWkMiHoGkLnJ28fynNguYz8KapNYvhA4iG7MhtuIu7NAvmaqGod+f6+wdrFnqeDc0l1VsyFoed75Q/X59mUe2gaZHbh+MgN+7Zbe0YTfh1L7YknfYGNIv6xR7upcW7z/p+Zc1iuxXfAScouJ3z3cbACU/Bm+2b1yyujUltnr2X0iy22xwZyue/hGZxjIYc5ShHOUjeL83ijhT1jLtYLg9KUbfErLrq+7MzUaWHoXaGArfuiLv9qM0VwKcYfp/bAIBwebn7ZWZkMNldPhb7+T7NiRnUWMfULU6qrK6iyr7cJ/78FNwPiOv1LXNhULMV0e6B0aJ9wDg7BrPbVbiEyKBWHMv34SAOyvKu+jG5F/mZ8cmRbbKCEzS9aBASYXEX5wjPXhQNbV/0qNIs9swRx3L8tjlMfXOLk2xGhKdfp3ZstjbvPkvpOM1n4pB/IJfs+7VY3CGvg5Q0Zxe+TAh0tyP1b6AOfb7KtR/SDytTFfcupqf8ryvnvgT097XLvlCj/extkMzYPozjnX3KZLtvi/wmlsUTe+AEB8kwSFj1gfbE+7VY3IdNuAV3sf9Se16UYaigxA+VKQW+MjRrG+9M7lpApnbzdNEYx7e30OVGJ/2d2uTmnH1O6jfSH3W+Eu0uWnv6O0W8vlHhWHhWHiLOVdGll5X3bLGw0Yz95De83dZ1GiwhjV5Gk26U8EQjYMb0sEzgAOBmMzlf4dQ36+QZDzsxf9e1JSdivQYtFkDKOYjJs+4fP86mSR5S2wCJdIc3G0N404NOT4DIiMl8cacnEmFRwhaNhmy2oPmsjvmrRtC2JR8BEA+998AwgLp5bksacCXbFchwYv+tT4CpY07xCJqvcbIA36yBGEDp+8yy41WgsljUfFrMJW8EEDi4qvjbkgsjHXCZpAUAaNaBtz14s4X/+ON0rk9O31ibMou59J3I4GDSYjMMoLYFG9g0LRZA14JfJJPRe4lsjQHU+Pr+OV8d00hHfPYc7l/9ObhnJlvUe2Dbg08Wcu5YzDbW+9N4MAlcm4YR8Syd+/nT8ryZdACaC4yer67zHDff+10YPr1A+/nz3E3uWtC2z+8P6/w4BzDDbXrwvCtz8IPyvNwnRwfnUY5ylIPk/dIsDpUKcFVCf0W7CHXIcR8oy7I9QXZcgQbvsZft9yarPocAmNBZ3kG22yqpRz7islsMQ0kPDqEgALWdtHuwsiBZf0IIiFbjyV+qbXvu+woBmduafsf2e7WuNALFAtR4iihaRDA2e+Q0vsJnUcLdCcZu5kg1ozxvar4pc5TpL+uPaoa++Fl4NJrFGMSe966YMjHkRDjrh2BmYLMFxlBMiX6QfsYItnBrQObB0PLl+zOO8F9fCacEIJpF0whS0tIOTLJOqWlAmt07BjgNRZtkr6xdEYGH64wJ0f7y5RXafM+S1uddbarbrNMQ5LO1ee1fwufyzVwsrCQ0oo3RiwnyEtdwkoZNMRYgFlDU2T2VpQ7u3p4Ub2nTXFPp3c2CR0TywE6AR/kFfhti+679NH9TZHMsgCJEtVag17TvmuL+wP7n76lvw5EsDHaBT8A4NU84JjSoh5i0Pr1UCdxE3sk8Aw93VlqzhwjkHJhc2STAuc9lDJTT3sneU33evAOpJ5Lc/r6RA/vUjjfXnc4R1AfzavJ+Lxa3PVTeF5iyoiYtASoMAnIP1wQgPgoAOWGMlgvZCdSn0L+Q63if08rJe6BpxWegac3XN3CnJxlFp23R2ansLlYzmc0EGQjITqT263YL0vT6L7+S7y8XwuA0nwk3gvo3VitQ14EW82zvqyZA85nYtkni5RWoa8XPoRXWDNIQMWai2JB2K/fkUUYuKmCHujbbvADA5yegyxugK8hDAOIvMLkhGXXqPdzJEjwoGXFX5lYZptL4MgJRd9X5HLzZCNHLucwRulb6Mgbxf2jK9tkCtEk7vj47Ojf9IP6CZ3Jf4R3o7BQ870pbbSt+j2GU61ptr2nAsxbuJvU3zWf88in63/Ux2i+u8nVj14BuNggXwiZPQ8hR2rhIPqJWFgrXB9B2wPhYfBbdb8YS7TBISz5dAl0L9+wyJ8Pxz3yE9XfOsPhB8UHwooVbFV8Ltwka3iSfxfUW8XRWPr853Gfxfi8Wt0ks9R3JA8pLUMm+EKf92GQlUixqNdGUdSjWf3MUE8K0w+MeiHM/ZNKVTEc3juV7IQCjJrNFkEZq9LJTAle7s6gJkk2AmvPCnsd9Ol8/s+ZSNFmuas5tivqccyJ61DiI1UbmaxwNgQuXjFONFKkJpnSBOudjMT0yT4fFgRgHJ4iSacBlsdG+xyh/Kwx95UDbIZkhZrEIcn8p9SmPrR/kmJqU3Mv/Y5B7ZR2ck2N53MOA5moLWicYuXdy7qaHMxSKpBmigy5MaXGMERhGeD13GDJ1ok36o3UymQxi011v0D2fg0wmLQVpOwcIkoZFujlsejjzTNMHkRtyW2UliF1mdy8mVzExISCbJzZpqrqGErSoCth2IBrzzo/VSqIheg4gkYMgEYS805OT3TCH+1KUZmZKDehnXZt3VeaYIwkgAhZzYY66Tje3bWU8RPKg6cM1jmU3t/kxEA3AahbK1sQxlu/YLE+iEj3RkOF8BvTFjCCXtDYTdeCThWQ8DmP2rFOI8r+JYBEJtJgcgWazPEd5buwYppqFqs+JE5T7PmtB3LXSXoyiLajGczLPfeUmtTUEeXmHEbycZwg2xwhezMDLGUg5OJ2T+5A0i0qvTZpFPqb1O65bDI8X6JJGg8Yjzhs4APE8RTj6tEkEBifNIswTx2pkuO2I8VzG5p+n9hsPGkokg2etPD/bPm+M8WyBzccdlqtl5juN80YWKU/SXtIs0Mhi4ZyrNQvDrHafHKMhRznKUQ4SeutAnD1yTk/4D9O/UR2z8G4ANa2eseXEayyr+l5avVskFxmaStrR3GyWqdgsIUlcrWpfyr6M1+n1DyCsUceX7p5TMNWUFKeCPlsNYw+gqXKK7svWNceVZXpf3ypnJVA7X43fpOLIAHbwJnqteLPa1R53uFTT/8xw8z0V5qd90rHZflnKu5Nl1TdwzKbBbWTFdwpHuNPTOpqjWa53zZetGzIMoItzOW7Nr23J7A3XNzuEvW6xEM1xCgzb906rOTcBvf394e/gMj49yOP8/pohd4nxygtm31UFY/MNu+VFBowZIhfZf3w2E7PDRChymvp9hL2G+Db7LCqP98SD3zTSlqrjye7mxMKUe5hMEjK8E6+VsHcx3+2bPly6SOs890M5xjH3P5sZ+yjpgWymuGSf28/vJOxdiFpfRUCapvRXI0qNL/2KUUKuKfSZ08bHUe5L44EU9nQa9rVp7bnPrj5mSwF89LiQ5pITINlmU8xMLmHlvNGl0g9ovPi3lBt0tSm+Bl/8DU4Bhoawl85OgYszOP1OElugykZfeLP9MAl7c1ryPni3xRJoSm5A8RIfQqs3ITbRClHFcZkwEdbx+DIhP3VMmv6y9wlym/AIer2Ri4NPd+GuK99jrq/1BrXB7JTN40BZ7HTOWq0bEkEVbX+q0aEExsZpWdf6eFiIMuMONKQYJ9B9RX9ylEgJUHAWQO04DUEWlNEX5+9DZRgN2pJFIxjHqmSC/ObyolMi2k3YB9IIlCbyERWcxm01YUOQKE/K+ZD2KbWdEJwvW6n+DnlvFwsAt74UNjfj1qjHbTwXKnbXiC6HR7NmoCCcfZwWIQD31A2pKdnMTjw9lvuQAFzqONXdIT/opr/D8ObKF1Zs5pM+qkaX+UkNAEsjMt6DEtEOm3tgTRHt4z5WrrvLF6Zr3IZX0X6kgjzy/VCRwWQnaYhA6CvYvFAjPqx8YZUTpIRD+6DvWutWz9HfOlf63HhveFcd4nqzY4bw9U0Bx1kgnSmLWNEsJmKiY/nCoxzlKG9U3m/N4ha1n7wvu48iOFXFB2pfxS0+i2nmXi5U25YQo/oosmi48dAiQ0C9ujcTx5ttv21ACplGceKSFofRE1lQk/TQKur3+CwqX0sa8w5FW/KvUAXtNlgXtbW1H2k8VclBcnAvWWRIgXSw99+C8dSX4cw8hAgaEpWgK/eTKAowy5QvdF18ePlCA/emthVTZFpkiLkKEWeqPyX9BcDXyenrTREiR3BxvuuzOD0BnZ+BVusyt6opTTN4HYnJ8iH6LO5i967UfrXNQgCbCAE1TX4ZMqrS8kCqP0Bvvn6WsxRv4eA06MPcVrfLL1llq6pY9VjzNrQvGie/j9073WzquhKBAMrDbDkpndvlpexRXiRj9lQZtqYiWZ5jw4tJc2OuWDMgga/20QOQ1iFFUsEBQaL6op5nU8Ewbud+hqb4G1TVZgYMiE4yRqUSuu2BvEBbeTFNTVLqOrD3eSy5QFIIoMWijFFZ0GMxhTSDmLpOfAsZ7CaLsHCllgUri86B9mu7FV+KDvXqaq/PzZ2f5o2quu4wlpwZANw0tWM5L+YEenQOXF0XxysAXB7uh3t/F4s7RF8g+3dO5c4n7QFjmZ3YdTXMleYzsTs15dqkvdu2AFmI7GeUytVZcbNZSlwyN36SQl6lqCvIJz3MNJ8B61LWLp+bPOo0m92ZAg9AHqL04uUogF34mEtK/nojkYSzRXnYdAdrmuw8BFL4UXcuG8YeR2AD7ONMyPNhxoLFXCDxQLnOBLYvQCRJ1MtzpBGQGAqFAQA6WWRHYZ4DBZb1PajrEI1vgZYLUNtKUh5Q4PgKfNN7pxEW70th49lMIgxDD35yUTYPIgFUbbYC0QYkRV37oxpnSlFHSlHnpYyN0uIxFVouJUKy3pR5vDhD+OSi4knjeScIThXNkWk8uG1AzGALinv6oZYCsEkyFYW9IjWNOBK6fhv602QeR8bcKC+EqsulvRqVCXJpZfelQnbfywvqNpl6DUDJX7BhWYOwZFNlGyEU5GVmB0+oUIMaBSBOszah+bg8zABkp7MPQnroiWPJSdEHTSuKp8WFNlspzjMvOSc5atE0GVkJQHgakge+4s8gJw66fWafQVrmuZvPiglleB4QopDhIu3+USJTecGbdRnCXeVPnCxkYTBCMYIbL8dnHXBtFuv5XOYnmRA06wTlOYyCErWLVuPlOuogXshigc0G48UCTW9wFk2qKXKaQr192cQ0N4S9JIG5zQi3HTBeyLnN01kh+jXCixm4a+FiSUbjkwW2T2ZYXJp8oNMZnHMFcq+bWuvBMw9PhLg0G4o/XLM4OjiPcpSjHCTvLYJzRyxzlqWcv8WRmX0WroQf1WcxrUhmP7u3bkjTwlbikkrnDeKkbojyB1Ryh88iMy89wGdRVTu3jtthKKG53O5QHJWxmCGcOB+kQnvts6Adn8XslXwWMD6LnWOW+yP9n30pU/TjjubWYR8uJzv99vgsYHwWOZuYk8Zl8SLJqVolgnkvZsRyIZwSQNZkeTR5Rtas8GUMuV+h5O7wi8v9PovTk1Ih3dZ9OT0BX12VE2/zWRCJH2a9rrTn/+XLX8GL4YsPDMFJDprna6MPVSq6qWZOadK0ABCAzBVALhY0oDq3Tk8qT3F4LtcEULWlhWiyb+DmBu78LEc9dPFxZ6eiztsMP5NCHi+vimmw3sA9upDjpj/x+kZ8F4lKDwD4ZgVaLCTlW80FXeRMoppcdy2+je220N/drIppxrH05+oaYIZ78rhcN+43Q/DoHPT8ctcM6QdgtdpLKJvnA8jjppNleVHbVl589QkYCj7a9jIWvWe3mSHnJ3BrgxMBZAFrvByfdYhfPi19ujgXWr2vhCWbHl+A57NMc+cuk8OcWXwNRIKWRDJDuhb09QsM3/0UzZeJmi/GZsOsAAAgAElEQVSZIW69RbxIldFfxgz5Tew1Q/Ctj8BtA3ddnPh8ssDqd55h8f2JGXK93WuGjBcztF+tEE7NM/Li8CXgm7NYxIR4jEGARGo7ajGeSXEWBfyw4VeoHIJph9GXO17f1IAVe82qrZTW7dJDM4wlBRsljBmvrnc0Cx5HUMo/4L4v/QkB8dnzMs7UHx4HYJ3o59cxf87rNaKFSich7/LDkdtbrWvNZFJkJmdh9qlAz9fP9moWbDWL7bagZQ/ULOx85IjCerMTISmdN5qjokX1JbpNs7i+QbxFs4h7NIuooUtdsJKzOoYIetHm+rWIMc+fOkPpWjSLeLNCy7yjWcRxBF0lXk5zn9wtmkXz9B7NgqUP0eQq0YsOy8ubSrNwT2vNwpIpzT4XbhNvnez97nzdJt+cxeKBIniCPclVr3pdiz1wxoG6Jx3+jYkxJ/Ylq+VclgorQrWqb1+2N12h/T6ZLDz5mOGseBsiZpfP3CZsHIaw7FXO12bf2+rfQ9u0+VMPkPdrsTikyNDJSV1k6BZYtzz4CTzFJSs1FxnSkJ3VGgDgnvKFBUdRcBWlnGCAPxXVM+hqb68RQp0vYIhoprvxvYWR9+QLKMN2NQ/Kv6k7eNIscntqNp2eSJGhPVXQOY0zc4hY7sxDyxf2u1iDaT8rrg2TC6Mw+PuyQmm73V8CouqIgZJbHAVQOFFUazHkQhxcrUEmDhU6WSI8fVaB3eSSXEhpDilfaEB+e7u9SebZYpFNtfj8BWi93oUM3FISwin7ut08jnDvoxzlKK9b3i/NwmoUFaai4APizQ3cfF4BfGI/JC9+4ShQngtqynpoSwr6x4/lVK2gfXYqNGvJ+RaePsvl3qwHnEMQ2LGpeu3OTsUmR9Eomm9/WorrWoYodVReXRfMxWot6DoA8bOfAADcR0/AV9figNv22ZGonJ/Uthm5l+G/8zloaZiyXlyKI3azgTtRXpCUjp1wFtoHLYXXfPc7pXp4zjJtBf+QdqH46BT++XXlxQcgqdbrtdmRxTziEAUSnfqbMSWNl/ojMDiLthFUotLtpRolfHWF5l/4WRnXTCJBiodQiecL+HXNwUkpu5fWW3FKfvms9PfRGXjRgT57mvo1KziLtpF0cZU2cXBeJ1+XzvNnX6D/o78fs8+TtusJ3DXw1xuMj2XOXV8QukE5ODsPEOC2AX4zYvuRXG/5z74QrIqFljsHvjhFnLVwX70ofpef/z24/N4Jzn6j1EIJJy2a6z6Pn9v0/rQekRn+eotgmbL+4S5/yW3yfi0WB4p1AFWcitVJt2Sj6sfqXFQ1bLvddSxNKfiBnFKc1e0QxMs/dWb2vTz0zNAoDpwJ7w4jmLb5GkJ0azgJ1LmmKFCbxRoSNb5xwAEAiKosUu4HARYNQ4EED1piIKn6OTycvrcyaq0x8Wgoqqu7WsvCMIYMUhIVvYa4C78pCqeEqvDbXuZi22cEJ+tG0XvZNJTuHij3Rh2Riogcx5QjI31wzBJFsX4aNSn6QdCLJvuW1luQSVvntVD1QRHBW8NtOQiHSF7wdOEcR3TPNiVKQSSArtUGjfZhKPPp1smRqXR3Qaqt51d22wvq1AL8XARd3sC3DXi9zlEl92KF5ect3E3hs3D9KAuj+ibUv5EQuLTtQVvjAP0gODhfRjhiWhyYlSA13u0cK6SyaqveMXkZ/htvt/vsImLThdOxis0qE8Wm8+yCN/Ub2DFowtk0hyMEUDDzECWSYuuV5AiH1uaYLnKh5MdkW9r6WpD8IDEmroiJz+IWZ2t1DziKa8j4YirnaloMpZ9aA6YknRFp2n0iW9bowCh8mzYEi5S+zTFWlcFy/dRo5ksXDs3VsZsSEjmxzqOpBkfbUPgzdKEyC3xVkUw1HtMmjUG4QnWetB5pRugqvoLyePS6bgi71w8BFI3zGwBHJwvDMNYo15dwHL+/i8UdhL17z31oMzb5yrkaVKWFZiwD18EXTrgQm7W5B5IOiGNNwpOoveum3breBAmBzpuSHGXRTE1XRVFAWhuD6mQ4HZ+G63ThYFcvrtnJ+8DIkTJVp75UdVnSQqFl+wiQc3UBybkkCeRlIx0PrYHrUMbnSGp52M8tuM/eR2bpa3T1cZfm12Te3iZM0l4VatYf5qJhvAxx0x3DPMpRjnKUe+X91SzuEKmpoCppqrQ04bUUGreYfwOoVK4Mc9bVfjarafZX6dre0K41aSc12aM8juIYs3RtSM5MhXxbB6eiNmOBePNmC8xnUrMiOUpJszSbBhSHXAoAfS/HWrMbaZuLeVUKACHIeNabclxVWM1GzdmuyRY/WRQHp85X21a8l/F0KZupJmelc2kYi+9B7wk5ELGMR+dev2P4QjIEWeHKTSkyhAReUuet0v/TGEoWJ4B4uoBLNTOqKmOzTvwN867Q1zmS5Kz5rCSSNQ14MZPrNr7UAgHEwdmabONF8jKs1hg+WqJTM8I5oeMnQnikRYZKfZNSZMgDTj5z6xHDExnb/HknZkXS3nSeeDnPiWSqCcWLE2w+neFkXcKtYdHC35jC001xcFJguJst4olxcH72lvgsiOj7AK4gFujIzL9ARE8A/HcAvgvg+wD+DDM/u+0aL9GY/GauzQHvAQxV5TAgLSjB5d8iNl28xu3TrJOsUwOXBlC35VLWqckepfQiZmSmqtjzWa12AkDKagQgD60yeY9Bjlv7sW3kRVOYtSUsaRq5luIDkp+C5vPipQeATVokQixREl3UvAMFX8ah+ACbuanYjK6V/iS7PFxI/Q1yrrw0gLxcw2AYqpOKzyQvrPp2dKGdtcVBqsfaRiqLK7L0ZAFK88xpvuJyJtfqR3BX5mV8NENz7cCEYuINYm64G4d4MoO/lKgFxYi4nCEuOzTP0saxnCOeL+A2Y37hs3Qt4qLNqrjWBHHPWqw/buHXibzGEeLMowFyhKPZBOhKOZ7IvQozB3ZAs45oZh6bj2T8sx91IFLkcHn24sUSYd6g3fbZxOkfz3H9bY/Zs1l+tIfzBq0vi3CYJUxG5wAGutahvzBw7+bwxeJ1mCF/nJl/npl/If3/lwD8OjP/HIBfT/9/M+V1IBrJlZ97z93T3muwNV9ZJn1gKseYqITprH2svhVgZ+zsqJz7MuJo954YG136cnvf933Gr2N+d+bn5a/JNOlf5eM54HoO5W0meiMOhjdhhvwigD+W/v7rAP5HAP/BK1/VhhWtB3+CTJRjyCUFq9KC9ho2lOicJFiFUBPYqsc8O8BiDrmyyamIl1clFKt5KFfXdbgTyfRQNTgxQEt/I+jFtVxfXzzVVDYSNiQTxuNtD2w2u6HTEADLmrRKIc6+L/2y2aKmpkaOPnz9opQXTPk4tO0rR2L7uZTB42GAM2FBHgYJhaoWZPAWfHWTx5s5IUIs4Uk1J5wXU0avu+2lcng/wD0TnIxXbo8oGb96X2errZhC3lWOV0rs282mr8xF9/UVaD0rfdhu4VeSr+KnodOmgW+a/Nz4hMGI6w3OfvMa/mlC7BKhmXegmzWWah7k+YzokgkWuyabJtSPaK6ThnezzlnCuVyjc/CffS2h06trxPQMdT9e4AlfoP3iOpvgTdsIcjTB5FutJOecVGbb9mieFs3C9Yc7mV91sWAAf5eIGMB/xcy/DOBTZv4sff45gE9fsY0dqSpCK029krnkk1Kexm3lC5V5yqrGI9WUY9JY/b/38l1Vm/teTJi+BjLRfC44ilBsTOo6Y3qMBZS1XoutHBl4IS8Eta0sBk0jwKJshsjLWHFt6rhnswqUlQs9M5e21OzS+VJeS617sSgl/nJauLJE6Ut+ugBFCTlr+UKkEHS1kOfIUkxp7el4W9L8sx9jCspyBpQFCMmQFneedznkyLM2vyjxfAFaD2mX1ezVICCubQ9ezuB0EQZy+UJ3WWp5VKAsa4ImUFbOq1Fz8uoam4/mmG+0mLH4LDywC8piLqCsmQcT4JPPok8+i+XTFhgkcpOfPCLw2RJx1sIb1q14scTq0w7NTTFhw6KFv/ZZs7CFkSky/HVTg7J++JZ8FgD+CDP/mIi+BeDvEdH/az9kZk4LyY4Q0S8B+CUAmGP5it04ylGO8qbllRYLZv5x+v0FEf0qgD8E4CdE9DPM/BkR/QyAL2757i8D+GVAyG9est2ya1lgksEHVAlYe4AnlSbgfUEJTjI0MU6+G0KBcev/JtU6776rdUmCSlqAVCjX78UC240s6iezYY1OKEdVmy1t2zgibsaCxjQoSptIxput7NLjmF27tvZGVbxIzZRkjuWxEAG9OIq1by5BvbnvTaW0ZPKpNiMH8/gEBq5UAelb41jMosFwcBqIPWLIlbQ0DZxs6ngi7QEAP4xiviQtQK475qhGRZMXQp7zbJpse6Dvcz2Uilc1MYErehLZHO0x/8kK7sV1OW8mZkhjzA9KoD/lfuV5Cxoj2DnQMGKu5kDmQGmKGdI0oK9fwLct+Pom30P/9AqnnYd7UTgu3M22qqKueBOf2sG2h7suZojlB71PHrxYENEJAMfMV+nvPwHgPwHwtwH8OQB/Of3+Ww9tY9Kg/E4ZiPlGti0okdbY7DvXtYh9+S3fNUQ0KTsU642oxGdnoGHIqi5d36SwZXmh1D62Icr47Dnco4vMR5GBNI/OBZ5sOBORcg8AgF5c50gC3awRP3kEClwqep+dCNFNspNzmPXySohmG5/p5xWySyfLKhpCXz8Xc+hmBUrl8fjSPNQh5tqfap/zJ09ytiSlxZPbBjGRvQLA8GSJ5tka1A+Iy1m5L+sedGXMIyCFjx3w+CK/tLmP3sFdpQf9jmiIu1nL/H70CAAQlp3ApIcgVcnT/RkezdHcDGDvEFNOhOsDaIxwmwHhbI72tyUwR02D+NE5xosZOm2ra+toyGXhvkDXIiza/GLmaMg44tnvPcfZ95XUhjCeNJh9vcDmWzJOv4kAi69mOJFXblzIM+EHhl9HbJ7I8cdD8td4Bwzpms6VaMjnXSbg2XzvI3z9e2d48v8UIN+49OguB3Egs4mGtA4UGN2LvoqGxC/fDvnNpwB+Nb0IDYC/wcx/h4j+AYBfIaI/D+AHAP7MK7Rxv8Rd56UsCvfYYnaXUUiswodVdiDSL4nws9BdQHZh3a11t0nHKHDRhJCcgOozsJD1rA28GR4FquaR8w9VWkiaJ3sslvNLJbIoKFBznXzdh4jNVUl9ENi5fp5+R4YbFBJd+kchFs1OxzXyw5GbSci6yhj5XhZ+/zSvXOaXIgEEUADcyMjGukmRzyUtbci/mo80ripNQI6BpC29Lj10zu0431cOzjurqE8qlPMwghwJTyEkUlFVGd8jtlp4LjAEFKhyos6ztUjgHOLVFar8DqWjn3BwVBW/c+0GM9cK902fq3Mwg6QSXwIPwj/AhuKevEO4vMYOHJ5clWOReS9ssZl9Vct1HECe76qf+mcunMSlOI46WlO+ChlqvxxVGfr6hVQ2qaurHf6JXKJv+n8ULhP5fnJeKtx8h+W8qSIyvN4UxqizpGGNY8ljSZqF3FszX3dVeDf8E/6jJ1XFc6TSEBVMW+dH51M5SZX+8ewszZUCAJtipjqP+PxFBvnp/PjTE+H/tImNNoI3ydPJkTXTr7+/+TW8OLCK+hHufZSjHOUgeX/h3uSA/YEUUNfWBWtCqBiLARR27D2lBQFUWggR5RU6E9tutrICG8ZoahpQ2xUWaCDzS8QUetS23EdPxK9i/SSzWcYT8HpT2tr2oLMTSaHWVOeLU2CdiHaHoYR6V0Jc662zzbBuW7h3vLySudpss8ai+I2cjJVCueHZCzn86SdVSjUA6bPS2wGI50u4q7WEGE3o1Gk1cYVwaxFgSAg0Xzf5J/zJsuyepphSdpQihaA3G5nnb30s17sV7j2D26QK4qkeBo0p7XxIUH51drYN+GSB2DXwX4q/yc9n4rNKTlJYZq4mhU4T/4b6tuKXT7H9A9/F7CfiC+LEZ+GuNgiPFe4dxFxgxqiEvV3SjkaGWw3YfFvOXX7/eZ5DMhgJd3EqBMHPLrNTOH73d2D1u06w/OFN8SUvGvibwkyf4d6NAw0B7nqLaEOn//RD4bO4Les0hKLOGYAP5WJCVBP57ouGmGrh7Fyud8lTU8G2BRQSXaOGZnJd25+rQkiSmZYnNO7ZSesoRyHyordOwJphQEWX5z14DPcSAsv1+xy5meau2O8AyGYIP7+sPocjqTJGlPvmNqkU4GYj+TQAOEqJBTgqptQ4pkUmCslNhqcnUuLLq+KjyShQWcSyn2i9kTT7YSxzqhEjpM0iLZb+Os1h2+ZoCI1Bqo1P8DEYA+jyBm7W5qgDX10L3kRpBSrMiJQOzITAujms15j98BmQHMfOOXFkr9ZolDxH/TUhwOn97VqJVM1a0DBimYhzadPLc9s2JUenaQR/4z3idpsjRf6LZzgZApxG0gD4r1nMqkkJCBDJwjyOQuqrw9rHJH6LvL+LxT3p6flhgkQgqCVYpGZV1nAS1gRQlyaMUcBSyjchH2TAluVcIH3oFLy1jrnUoD1XQF4T5uREqQ8iWaz0wdESBM6ZWpqiUWQOA32ZRtEybDnA7G+ZlEcEkGpbDMWPoKFTRXC2bXVckuJ0vmL2ndjUeV7MJLLhfdEI7IKmKNVYEqio9WCdDvUfLEvSWl4ktUyiahYJUCU1TdoytxqlajzU2cuzLpPf2JRvOlnKNRtfOTh53lXjosU81R4JEm2ybPDOy06v86R1XoZBGLoMnwXPWnG+nqTSBco3wVwSCVtfjm0cxgtZYNv1NmtNttA3nZ2KtnNFgC+RovHxAq2pAsddK9GsnDKvtAEOSKUNszYIAJcfavnCJLbKdnZF75C43IOzsC+ac7LL2wiFVi+3342GODeYxWGz3VmQqpoh6pCLQ2Fl0irk2p/NJjkO081VjUKrpduFZxyFcHhKfKsRFP1XCxkpAc6eeZpGKHi93nFG8mgeuNQ+Ry6/AeSi0t6Vl1ojQYpNyVEnWYQ4lSnQ8ea5MppFZgULwWAyjBandU8BqS+SHHiZAdtqVeTKYhqCLHjOGaasTX4OeI9moU5dmdv0wo4j/NOrTA8IR6BtI7VaDM5Co0QZ89H4ysHa6Nz2SRPWZxLi0ObVWto3moW7vEZLVDA6AGi1AQ9DzX+S5pW3glfB2rz2e8iTb5P3drHQh3Bfhal0QvpDTY8yuTyM92oWeUdRez/5Piqfgn6u+RPAwZoFqZo59YDrTmxzKPq08zNnjkwtkgSiugpVEAj4m9MsCr9pDvOmaE2W5UIK9Oo4Ux+YgoCo9GVWqHtkYFbqWWQt4mU1C01tt7knTckN4cVsV7OIERTaXPc1Lzjpety1pRj1AzWL8PgMXp8t5zJUPNc6TZoFRc7mEXcJsxPEbIinCZNxvS4ah63vsk+zOF1i+OQUrQ1Lt41oD46kPfV7eAeM81fSLI7RkKMc5SgHyXurWdwpVtVOajoHgwNwBE6kpLdpJtbBCeaMpyB7fqzVeoUGcwgFfh2DOCcnOAuNjshF0w5hdyoAQMkA5csrVHBvVTvVcRqKI4r7XmpoTP06/QBa34Kz0P7u+Y6ODYDE862YiEbWxm5W0GpavKk1NLha1Qen5DIzH1kDXK/vx1noOTEgXpbMzvy598VkeaHanzPaR8pszfVVS9/4RV/Bunm9fhjO4rc+y2Un4VxinO9BL4qzmJnFB6YmqdVkhxEuOUjz8+p8ITP2Xp6nCc7C/eQrtFc35R6mccWkzUar1SI9NxOcBT4IB+cdIoAtmz3pykJRnXOHg1OzP5NTMxfpVdjxeiM3krnYyMkEsWaI1uDkSTlEd3qSCGGNOqnfRfJpWAfnciGqfFaJF0kdVuao9L2+By3mkkJ9jxnC683BZki8Tt78Rxcli9U6OE2KOi9m4rU310VycGoBYhlECl+S5EvkELTO3awrYKaJGcLGDOFtD95spTZpmsc8bgNDVwcne1deyjGkAkZybn45QpCoxawDfS0LpALK7jJDeGqGPHuO+N2fKSnqzknJgNWmcnCqozc/X8kMATNoO+Ywa/PZs+z7QTYhPPxyIWCvq+viy/j2Jxh+R52ijsZnSgEymw+85Ia4qRnyg4nZeoe8v4uFhvKUU8CQ3nKIpnJTqn4eGXFrEmqUASpVU5e/C9pPV9xcu3Ixr7SIuFqV/AQtjBwiqOsEL2F2KHeyRNQFRSn02tYwa6f2W0NDt9nkFT5uxhRT9wg/+RIA4JtGapLMZojbrdQqARDXG3jvxcNvk+HSC5lT4JNoYWhapgf36jojKG1h5OxQnc8K54aNXqQdEIBQ0a23gqOwu1RIZRGG3d2KZl1x0qrf5vws58Jo2ro6ZHNIbz4DNRuBEeiCOe8yU7VlMosnc7hVXRiZvQNmQs3PXQs8LaRtZOgCAIAuzuQF7wfEWSchSUA0yq4Vqr0bUzeECDQG9BdzOK1X4hy49XAhIpwrK5p5rhZpDK1D9A5+PcJ5j5CON/1QfD4qwwD+9ifgmZeEsDQ34XSBzUcdmmfF7xBOZ/DXxWeTU9RbD+4cmhdbjLYw8m9/4NGQSj28pT4IT/I6di4xwR3k2h87OSaTdhMBDmWIcZSdz/BWABLdUM96Fip1PaqMxmHISWE5+3Nr8BHWo6+EPqkuSRljat/2fxgzNXxOFFOnqWoWVJtGfLM2pDxpbmIo9TwAuCtfojc2a3GUTNh9hX3ZkvXodADlxVBvfgJ/Zc2CE6mO1boSvJnHETSUR9gDBZugEqPBhIS6cPKNAMuiagubrTi1xyCLUS4/mEKZ3oFXWjdEIlfMEd1XNyCl61OtZrPN2Tu5IjwAt0qbTOPBnkBbSZrTUgCaYTsVd70Sk29daoT4FzdYfNaUau+AXM/MgTo4nffgRQd3uUI7lHuWc2cOkKOD8yhHOcpB8o3ULGzhoKqY0O1fSH/UBXgq0WI1BhlaMASlrcLfoJgBNlpG6QNrcRu70wdTBCjGSvvZqQxlCxpN+5vCuRWPheICbJKbjmN6fZPZuKM9xbBLtZfpCtOOpJXHpgWFtE97AHU6H/lvQGxzvWbqNyNWWbbyPS7nAxKiTbgOhiFpTtwd9XhSxqz6Qap5DOCRqrakUNEo/gI291i1TnVkjyPAPvscijZGAg1P5RXzfGkf1TyIEaQcE2Oo2cn2FSseQ85azoDEYYTbjBV9IzlXyh8CpmIcy5hCqM5/mQzgb85i8TJFh/Z993XJpNAQ2ZfzdRD8HipaxCj1iaaLRD6Pkmo8IYDNZogCrnwFEntrkiH6pY+U1HsAhaT3ZQo8vVJ/xN7npmBLCCjtW2RkVbToLfRL/2we9tpyo8/Jw57Tb85iYcTWAqnqg5jwpdYWqfg6gbLoKKhKV+n5TJLKct2QVYGEm7ZAlNPXAWSwT2bDytcTB5h1mlZ1PUIo/JexkNBkDk6tRdJK0lTubz9I1EPrkui11ME5M86rmPIkkmMWQHIKpoXFRH80TEfLZfH4q2bRNKWeBwA+P5EShswVZyk3gxzfd890PoA8bjpZFL+AXifVJ8khv1kn5wxjcdKmRLKc8JUkni9BEwcnhSgvftNIFGBVCG1ouRRodh57KqUwjOLEzVGhlKvhXEmOW8wkwrDt0SswCoCSBbnVBuGxJCtaByfnuiEO7Ah+M4I2I4LCvS+v9zqI+XQhCWpEWVOJj0+x+R1LLLfl/Hgyg7spcG9bNyQsWjTMCLZuyA8/BAfnJFGs+sjUAqnqg4yWEq/smMAe77zFAgClfsa85pMAULUF54C2y2hCZbFiDVGpY245l0XM1B6t6npsNlUtj8ygpbtrqkVCXSvmS+ovrUn+1rokdq5MXRIA4ujqWnm41PPfp4xE74WgWEOq6Tt8ugCtFdZd8lyUwQoAxkdLtNtB8h/M4kRbf2vcXudD/wYgNUFMTgOAXJ9E7yQv53LOZpPHxsuZOOb6oariPj5ewLf1w09jlOgEEeLZHO6ZWdxOF4jLLlPi8XyGeDoH9SPioq3h+F0jL2vOvF0ARPCXN9h8awafFgT2hNh6NI3D9mNZ3JpVuc5wmrKVOwJ7QrNq0dyM2Hws89j+9rxA1Y2MFwuEeYNuCBkyPj5e4PpnGnTPFvm8/qJDZwpQxZTdGmYesRWTa7gwc+AP1zLe38XiKIfLXWbWXSrn+1CTRGWayzDt2+s0JW8TJ3VHcst2w9ozVzt1SN6WPPC+sXv4d4FjNOQoRznKgfL+ahZ3eGlt4aC6mJCNRhT27SymHmou4pPs83h5lbIjCyzaYhu0LXJOMAb62TAIbHkca2jti8tdnEUIuQgQrwqegTdb0NfPq37bwkUWScjKJg7cWcQISFgNRVYmUh1OBWhI2b2npsxXz3e5L9oGufgPgDYkjojIVVlFHkeZi304C50PoJhqWgAJKP1OzteMs9hKMSOEAChBz3VbcBam/W69vRNn4W9mApNPQl89h+/aTMHonjk0m17MoOW8EN0wZyIaTRPw2z5noZ7+xgu4rxOC0+AsFsl/YnEWbbcfZ9EkU4KfX+7FWTQ/aeG9ExMk3avuh8/wpL9A+1kBmjVPu704C3gvZMTPrtE8Kz6Lt1lk6N2ILRxUFRMypxAJQY33IDfuft+XSQTEh8E96qzNfM3SFjWNfEfP63vQbCZIRKJi57adZP3ZxcrUSBVHZXE6Wl9J6U9KMdcf03fqulImL6nJ1LbSL8uEPpeCxNkROfRlzJENgnOU8+azQtWvvpqpg3M5l5d46uB0JD6RfQt9mg/9G0AuBq1zAye2NjsCDYUlSvM/Mm+qMmUNvnZwns4rDlLAODgBcXBeWh/SLLFfNbk/6uCM54vsn8iMXI6KL2U+A89buBAwnM/RbhTBmxycyUcCHOLgbIqD86tub1SNl3Mpbhw5l37k5Qz9kw7NC8OOdjKDuyk+C+vg3D6ZYd6PdZEhf7hx8Y1cLCxHRcVbYc+xfAgK97Z+o8HEtZF2jFAIb6prmrY4CMYgYza3KS0AACAASURBVCsSOpITo1Zud7MpEGqV9cbUzigvFY/jLoIz9Qe6qw5F48EwlM/TWHOFsQmikgEpYajn9gPgDXZDH7ykZfBqVZChVrNQ5iUAdFkQnNUuqDiHPSFYTvNh57OqizKG7FAmk/eiCWsYRnBMO73SFWoORRIXYp3PAQg2xrsCQzeRBl6tgN6UlVhvJAISI5x3IGW6CkGQorGUW6QxgIYO6Ae0X16DtMRCYhTjvi9p6/aerBLbWNJAKNU6yakFluPDiLu8kfnZ9lmbou2AufdS+jKJ3/SiXWnY1xdH/wyAu1yBeoPLeBt1Q96lHBQ6JQJzAJwZoiFqoS551nX3WMxr7/ptoVMg5YekKMIgvJ2WbAUA3MlSXhCjktN8XiIgJi8jArmuRw6dLoRXgrpOFgMNfSbuC1ouyoOboOZVeUQAfL3KOSpZg1BujJTBmKMhWuPk7LSo8qPh5jC5IfHxuTi7YqxCtdj2ErnYE/rL8wETcUq8GAAKg1TjJQdHtaOuFS1mHHOtlyo3xGgW4eJkJzcEMWkWq03KaTFmyNmpJJJpYtZygXiyEAj4vMt1XDMPhXNZC+HlHNw4uPUG25+9wEwjZ5obcrPB+GQ3dLo3N2QzYnwk9212dbN3/uLjU4nGPL/JL3h4fIab753i1CwukhtiQqcmNyQsGyAwwrkJr//Wkc/iKEc5ymuWb45mkSHVCfRznxmSeSdq52BW8yeFjHMJQmN67DND0CM71+Q6kgSmVdyV8izerHbNEFNeUGs4aF9ypTDtX+pPJtw1Vdq574Gr611H2DDW491sgaEXNdvSwe3BsOREM1P9vVDe1WaIA8A3ycFp1f5hrEs7GtH5kOsmTW0cCy5jWlZRr9E0pRK8+pA2W9H2JmaI1/arho0ZstnWn19dA+umZDZfXsFttuAY4W/arAkplwc5V0oKDuLsjtc3mP34BejFVep+gnv3PZo9cG+vTGwTM8TdiGbBN6v9ZsjTS3GK3qzy/PkQcaKf6XnXXWWG6Px476XC+mpTly8cPnAz5GAhVztD7fGHXnLqEMpwZKkK/tYg346wgwOwx4AESfbiozDM5xmwliIFAOT3K1bmepBMYejkMo2/HEtjeBtw7zQ3lHgnMnN5iKWiup3HhAx9q0IOaB42FzxrQJufNri3I3BCxOjfwrBUnYSdRUKF4+7Dp3UxTA4AZedfaSt/pjZqbksvnViMFFlqQqfkfdkJXUGICqJyT3/2/da/ydUvvR6zbNXVwjGJEhAJKW3mqlSnowd88uPoyd7XORBNis4Q18c9lyjURKaoWwAViZFeR/JCuP5erHdJ4SVxYNShU7RNXX5S58b7zKDO1TwmGHjehX0hnJFJKv1NUP9Suc5EHGZNTd7jHGh0uaaJnflc5ySFTgFIGr4idL2vNL4sOucm/I+2QZw3WVvR69s5sKHTvHno+beAzW6Tb+RicVDW6X1JZw/MOgVLFmN+yGPJsrQP+RvPOuWSxZmzSEMARkN8wlwKO1uTStmrY6wcsHLNt5h1aiMnSStiXd8VD6OZqaavbyrrVOYvJPyGL5GxyCCkTE47B2nO3lbWaf5c5WWzTr0rRZdVPsisUyOHREPgPQgpHGceXo5poh6YSCZVyUwiWYo0kPoCbK7Jm0wkm8+RiWuUM9LUGdWx0XxeIiVmbrQeiSZn0XotGtpbTiRTgBm1ba1h6QvQNsDGyQv7phPJtAr9MCKeLuBeuDyPOZFsUyrBc9eANtvCsA0UnMXrTiQ7P5FoCJAX0pdNJBvPOrSNqxPJfnyMhhzlKEd5zfJ+VVFX+zfu+hpsVXVbUf02yZXWTYTCn59mIFFcFyivnOfLDn1LHwDALZcZgCVfZ+lb2p20hup9Vc4z8zYgqqxqMZbdOSYyG2tbpr/dbFKjcp+tS1TYr9UEUKbrDFRLfoDTE6EH3MO4LV0vrNuWBLmq2q4m2b5nSuc3zQMAOMsXajg2qG2MGZLaaZuaMX2f7HPSWqZucoa7NfkHzDG3XBa06HKR0/bV3GJj5mQt8+wU8dnz/IzJhShHYYDaPK39SC6bqnr/42aCE9FTk+ZJ83nG+IQvv8ocq2VMbofiUdt1Hz2RaJfxa/2vL/57vBi/Oshx8X6ZIXf4Ge4tOnTbtWIxQ3K1qVdYIDnZ6qw6mfGZkKMdnsk3JdMx3EZck8PMla1ewGnqvMV2f8jzjYrtk/pQ1B9k/TFA/TK+KVEWKmUiy36pCLCrF0F9jjab/dd63aLzMfR7zbxDhMexsH4BibP18O+/Z4uF6fl0p+eyM7qTk4JenElykJvPygPFMdVuGOC64oXP2gQA/61P5NRkw7onjyShS6uKf/4F3GIuTOJp5aZUD5XOFgV9+fUzuCePga8lmUd3hua73wFWdVIVnSwyPTx9/SJX4uabFfiTJ+I4/ec/lP58+gn4+aX4Ltbr0t7zF3CPLiSPQROdkhZEy2WpggUAXz2X769WgswESnHhpLnQUnas8Nnnco3f9y9nFKQiBXnWiR2eHrLhW6dCPz8G8KL4Qty6B13d1BXNAFmcPnqUeRgyL8XMckmk6ySkKG1SEt3ZEnS1knH/7n9RLrfsgMBw/Yg4bzJhWP/JAs3VUIUf3BARGwd/tUU4m6H9rS/zZ/GTRwgnHdofyDE+WSBcLOC2I8KsgX9Rnheet4iLFv6ZwPLDhcyz/83fxvM//Qdw9oOEyXCEsPDonm2x+nY6Z53uDwPDmezqoXOIHmjXEc11wOpT8WU8+b+egraD5MeYZ2f49iOERSOYjnTf+z/6+/H17+nw0T/eZkdmf9Ggez7K95kRZqm9GYEi0D0f0D8qfqb4P5W8kvvk/Vos7pJJVGHn+MSDrF75yjtvr5GLBKXPtr048HrjxonTHTlmYJXWu1B277ITlutJnoRRCbd9YVqaeMBpqn4qMGoMOzkYHKJkFk5ZuPu+ENcg7SQ9ybW0v7qgeq7AXjnku9qCtvXckPZRwUDXvZyjnJ9pbqkfas3Pwuu35bMMrza5HNlrPwpHZAY/rVOtjmHIC4gDxDk7jJLslb7bXnq4lQCSNERKQ4AHQNtefKdGY6F1n5inUr82W3jvgH6AH9r6noQAP8Z8zJu6r7NnQSDWANg50NjArXp0z1MeyFaZygE3yrEw82ACfB/h1yPmiaRG55ViYcQCEZrLDVwvDlV99trLHosvGzTXPSizFwHNdZ/NV7eVxaJpHRBYPrNmUThctTg6OI9ylKMcJN8czeI2Ucfd1A8Ruf49FattEGUWad4X47ZOvBSzJ28yPmPYbV8zYzmK30TbUq3I4BmgOAvmYkJy2ZWr/9MxHrGLh0g4gaoPwcnn4+Tc9PfU10GjifNn29ZlZmkghQIT7iFnLaZ5uTVuH2O5FxajYtm9VSz+YhgLfsMeU9/CGKp+0RASQI3LnMRU92Ms/dPr0VDuHY1BEvXGFP6d4COYhnKsL9D1ZhMKbNqxYOWGsWgUQ8wVydyExo6GKNrP1vhHFMZu53JIfCljKGbnNqDZcLk+ALd1klWa5lO1AY5ShJn6EX5rWe4/cJwFgOLLUHWTqDgdX8ZPZ+HPjgqsN/1fXeshkGPDWn1ru8q4PEXUKbGuhXErUvNtiaW5y33QfsTMh0AhlnOmPCDR1eN6KLXbPuq9Hfo9EkRmYxboFFXixI0h/Q1ynqc6QvEA4en9VWSs3WRIfAiKFs3/J+byTNGX5jX/BnbRvdV4ATggF6kg1M+Tbf/BrlGRb+Zi4VzZnexLNGXFsr+nYgrnAsjkN5kYRh96s0AojXoGKemxpimhVD1ZwVQ2RNq2AuslEp+DQnH7BA22O0nbAJsUChsnMO4EP1YQWib5bZqKwBat1mVtCthMK3h5D3K0k9vAs674B9W/MmtTWFLmKi470GaQ3UwTo5r0uPaT8CWRLC6NL+jVRkBh7B1IAUiaot42oMEZkpkONI4S0tQ6ofM25fUP4JlJUT9ppa1EoJPvT9fAbQg88+V5SQRGcdbA6dx2LXg+E59J21QORu5agXWrhpYc4dQ0GM482uepb94hzhpQ32I8kWOucaLoMGNcJp/FPFUKG2SRHc7k+Lzxsoh4B+JSM5YXHeKihbtps48lnLTYXDjMF232WYwnjTyEBIABVsLe1sEFRsOM8dQ8Ix8k+c0d5Kk51m+rb6cchTpXwZgYdlEA5MVwVOcG7JNULyIXOE5Vs3POgbbVeNCQ2tb+eVcQh0SlD94hmgK/uR17jl2MiFKR30lfm6bkHgAS8VBmr7YsEvmz9B3pdrp+2xQUqumnvDxyPM48fCN4BOVLALPAlq2GZxhtufGgweW/AUifdB61f20jz7q+qHoOlXvDnfAykG0f8gK6MYJdWSwckDASHrFr4M2zw61H7EqSGrcNeN7ITt014N7kXMwa8KwFJ0Ysnqd58w7DQhYIoERD/KZBmE9eRAbCQvo7zqWPzUacjOMi9Uth5kbzZEeIswYh5YHosxfmHuMJIXY+PzvjwsH1PkeEQlosYuukqvrQYFyWOePD14pv0GIxtYWdeckBVMld4YBoiN399gGanBONIQTzglG2KW0F8yrnwNRAVSG70I3FD5Db9OlmKyApnVslJ9m+Kv5fgWM5X2Gs+B45hmL/D3XkJP+tEG6NhpioR16YY5R50HyDXnJLqiXbrMO5SnoaO4coOSpTdX8oORV5IQFSvsRYn6M+EUDKAMTif1CPvh9ipv7XzFX2Dm4zloVY53cw90y1kEGg1zSMQEQ1l3nsSoiz0fmM8D2LhgBIKYCRgTHCJT+EG6NcLzK4Sf1yTmgNI4MY8NuJNtY2YE5al/fi/3BU5b/4bYTfptwXfZS2DNeHFDo1l2TRYvxmBLdGW74nhcrKMRpylKMc5SB5bzULgRebtczG89umxOybRsyNtqkqZFPXFdq4SdQAgFTDAnKSGJ+fCPXaiQE1OVX3E0ahaUBzSMKRgqu2W+DReUlGSn2Ij07hrtbVjhxPlwgXczAB7ecxA6jc82sMT5YAM9ofpySh86UQsSxmsrNqEtXNCryYgeczuCstbBTyGMZHy9z9NgQh1730iI/PpS39sPECqjpPyU5PBVQ2fOsU/loZtwPgxEcRZx7Uy1zdfGeBkx8Brm8wniUwFQPNdQM/lsgLGb9OeHwCdylgoniRgGDzBm0yLeJSrhPnLdxmELwEgPHJiZC2bHuMHwuwbDhrQWOE3wSMJ03eQW++3WL2ogWoOB39NoLdDN3lgO2jFs3XRVvrPzlBf9Gg/TIB8S4W2H48R7MKGJces6+KbR+WLcYTj9mXcmz7sYCZTp5f4dnv9qAoY4qNmAKLucPVd6StZoW8+28v5A6MS4A90F4D3RXj+melv8vPFvCrQZi/2+KzWH3nFP2pw3lk+BfSh8vvzfH1H4hoVl2eg81jh8VTL+YFi7kjcy3/L79qsfq4vFfjPzrcufveLhY7Yj27Vj3UhWAoVPzsBKCkTFlTxisABf04jmIGXN6IGj91VIZQTB1Fc5IrrE+bLej5ZUZ5alv++bUwPMVCnOKAnJ1Km76wXYeI5tlaeAiSyeOu1tKv9VZMBM3O1O+ut5nJKfsYQkBrMhD5+kb4KzebEkLTvJrEfEWThbT94roGZTkH2gzio0jjOPkR4NYj3M0GTSghStoMUmpQeTmziRPhn91kU8hpWO8Fg66kP34l33Fa+SwBj5phBF2vELdbNF+nc28Su/cY4bedhEQBuD6iuRkQO48x+Qb8JsDfSDYsjQXARcOI7ssbuHGRqfObLwe41QAaRrRtA3djEL9di3bWyH0B4Fbp/t+s8Og3Ak5+JMjO2DiMZy26L9dwY0JwbkM2Q8YTeeWGEw83JvNpG9GuUn8vtzL+WQNap02qbbD8rSvMFy2aLy8z6vj8B2cYF3OcfN7nB3b2zKG7HMTcCSw+GQCxJfg+ornqMX9aULeNNX/ukfd2schJSfvChMx1ohHHEosHdnkW9knUlyTZ013iMRiKL0JYsWONY5DO1T6PfbHqEBP6MuRwGdlamcNQFqa+l0WEC1KThlEWg0TckgF64yhoRud2sCSC+ahzQFjnynAzSANcPreiXBVpDCCJ4TOXCvKub+BuNqB+EJbqdF1BcAYg1otYjgopKlOJY6iwoaufhFzyCZnjOV9D/QWaR5IcqgVj0ID6EW6MaBPuwfWCCaHNAJcWXxnnCBpm8DdD8ec0XuYvJGqDSc0XCiUiRMZH1a5ixlm4GNHcUMJOpOemTziIyHAJIdy4hLAcGX4TsiOStr1EXEKo+TBoLm0YvIrbBrQ3DL8yGjV78VkMcotV46DoQKP4dGiwHCYfwGJxlxlS0dJ7Ly9S2+YwHIPvjYZkHgZ1YHZtqS0BFAcnl90+OxebEopk5yTsOo2GdG0iXTFhz1knJgQR3DDmtghAXM7koVYnbQoZCpEKl/Y2UjME3hlnKeUx2dqjaBo5No5lt1eTygnrks5DjoYsuuLMG4PgKNqmijqMZx2awHDeISo3QmC45IDLmtggWhSnmqg5HLqY5XuaKfBtboifhE6HEex9DlfGZSuOwSEgLLu80AznLeBIPP/p5fPbAOojnPcI513mn6TBIS47DOcz+KdpbttGwsKNE+4IA8rieQuetZnxW80m1zRYP2nQvlB2cifmSojoz1PotI/y4gbOuSHDwiX4N6NZO2wey/Hlcgb0o8y3gqcaj3DSISxbuKsuh2+H8w7rTxwWX3X5pR+XHpwiUsRAmGk0hLIm89Bap0cH51GOcpSD5L3VLO40Q4wqVkyPl0s9r0wWFHVZdylW6jptTw6+3CCmsGlVrTX5ySbBMYviY6j8OCpM2KRsm5DhGxMufRCmKS79AwBGhlEjmDFNEu9yecRofsOM8SV2tdwGkAFO2j/1/ehxGmO2QlXlFvOCa3h6BNxdEPVD+5XCn3pdCkhj1n6b/7NZUH5TKGNDkBAxWb7Pu7Lzky8k85OwhlKpau91yHu7WOxIlRth/QV7MBQ4AGehzjdmuXEpY7KKrYdYpZjnl2Eci2kTY13TVNtS+90seDSM4ph0VPssxlGcWVx8CG4YZcFMmatMBh+h2Ilp1mkzgAzun0dJVb4z67RJZoDaweveZMMKOIiAKk+iuW4EwdkPcAYQR+rQzQ9+Qq/GlGGrPou+ePlzdqmZ8yrrdGNqnW5N1imz5F/E8qI1Vx5+LZEE7nXOBSNC2xHeGdMtRrjtAKxc8YUww618yg+JVc1QwZpwPuZWGokaMX8e4G9S9q4n0MhwqwHdVYoGGZ8FRTEBND9DsA8BsVEMizhYOZq8G+fgb3pZGLd95kxprgYsnjZorodqEWquZQ4QObcTW/FZNNd1qYSXyTp9bxcLckLe6hLnQ8WONXE8cUwPjvJDjKPwSjBL5GTPzsEmPZyJxItvnKQ0n2VQFvv6BcQGJoV8BFarHQ4HXq8Lqa1+NxYnH1LJQwDibLtKIC2FZdvUdu8KACsVDc7l+FC0JAqhpN5rH/pUzUv7pSnhyblYOW2BXT4KIqD3Vf6EH4PU4BhD5RDeScLTeRu5pOwDhcey7wvLk0WYhlAiXuMoNVbGES4Vd8YmpVnHKGnrulhse+mPzbvRezCO8KtN9SzQppdFWedstc7PAbyviYwSajdTE+gYNlssfnQN97yUL3RtA1pv0RogHCXtynfFPwKIxkObHjScyf/J0U3MZYF3DrRaw7ct+Pom38Pmy0ucA2i+uipz0DYyJ7oRWTb5tGl0lx9a3RAqmYN7PzY1HMmNBRMBpIzPA00H7wupryP8/+y9SYwl23YdtvZpIuI2mVnd6/j+Iz9pflKfpgUZICR7ZIIeWZBNe0JIEzcQTA8keOKBZU9kDwQIhhsYkCGAhgWJA1PWyBIEAQIs2OCAJmxKA5O0IPKLn795/zX1qrIy894b3Wk82Ps0cTOrXla9hvW+8wCJezNuNCdORJw4Z+2116ql7altEOcJpMqNHENcZFemt/81KbpajajqbNg+kBbu40n8d2FTSMSWiuPEIGV60zaSpzHPZdSTuCJHpxZTPatIRB6FiNRc3iadz7ESGXHUJaoKFHaeAdMwLHNn0j62IgEnN22UcytMWAFxa/2L9BATd+65Ix1khFRFbhaZshXQS7PohzS2AKazAy53YmitiuR+Gg1akx3Sw+EAijyaJK2OpPIUX+c8Cgm5jdVcZfsmKr6vHO2rKdrCGmKaEbsGUVF2M6+p8DXlPT495+NPpdNV4wxVZZgC4LC389wuPoBSkICIQ66uYscCWKi7f0q5Azjvyl25K7cqr+/IAnjhqCC/ZaLoX1K8BiS+sNRu6SEUoVaqel3nFlyEl4Lj6u2ygU/KZMUyGxXyho+hiOKmN1kCc9MboFan+iJKDUTyAWV5SXCmZAtQjViy3oTWWdEqj6KcQy3YG4FXSwtPo6L0f4gg1MpPkgQ3VYCh42lqdI6H/NVyKFW4IZ+lzJX+BlHBHDJ2kwDsSttE9E5oZJ5HzmJN+hw+lNHgTRorAG8/+zx1ScfPIHj9HHwOTnmvd2fxsuVVdR4qTQxUgN1nKopKkk6G5p+jbZHWCUf1Fyu9qKp9xC+wo3heSbyLmx7wRTawWi47/sybfE7nIFoQ1x6mY00QVWlW1J9JJ+SzPkiL4zHhbHGOx/Wplkclznf1pc+6IDe33wuPXy/7nKNmn9pZENHfAPBnAHwcY/xZWfYAwP8C4OsA/hDAL8UYz4lb6L8H8KcBHAD8+zHGf/IqFUtz1pvUvGP19ouVOk3Wk7yNSnUdtgQYxAyhkJNqc+A0F3+p+lfhzpg6IwlpCQ4AVbEqvSr4QjpWrDCHirFKX6T4TeWwxv+rfCNnQ2MhWqVRWd4ueMBVal/1yKKS6Y9wr9axL8LdkEhTxQJNmbwhAMnyUBzNIinGJgRHiM7z/w2Wc/hXKSEs8ZSgCzNYfi/h8Wq0GQKPVoVgBqBkw2qdRzz0vIfeewm3V4zilBmdjps6kpeM+t9UbjOy+JsA/hqAX62W/SUA/yjG+FeJ6C/J//8pgH8DwDfk708B+Ovy+dIlRUNu/E1rxFAlks1OQMoK6TYW0c35E8Dy9xQ5EcRbbdY8VBU/jvjsgt9IWpcIgriRqbbNUYtwtYM62SKIanaUZCt1dsp07RRRAHjfSeTlap+VxGPfA/fPeN2Pn/C6mxXivgdZOX4SedntQW3D4Gty+U4PcdeB1kWtOV5cApbXS74TYX+QNmR/iaQa7p885Y0e3lvmhoiORDQ63/z+/oZzPbwvjNHIoVOMU+GwqMJ8pe2moPtdy29fOUcARZxH1L3TdUnrxKsr0Bknw8WuKZ1AcicD4E46qEFYo5VgL3ACGieEVQP1VNzOlUI827Jid3oo1+xIpkT8Rh0qmX/LehZqx/VNCuXqg4/R/+QjdD8QdqnWiK2Gvhox3ZdEwclnDogXRzLf8ihTTQH6MGN8g/e3/v2QIzoLL9wHZwithf7kgu8XAO69N3D1Exuc/EERv/Frw4mAKXlRmLfRKJAP0LsRfls5kl1VQjifUj61s4gx/joRff1o8S8C+Hn5/rcA/B/gzuIXAfxq5LvlN4noHhG9E2P84NY1Ssd90TTgKHQq9VxiCp8WDan1HVK8X95Ai91UHUyal8ekryDbxxs8N+IwXHtjRaCg4c4hpnvRB85ZiNVbeXbIWpuJb5H2I4h2Du2lfRLlLFqAO0IKkSMnKeksYQxeLd88KXTaj5VWR3pbinBNSgC77Ll+81zaPB0njSKqfSIchU5Hnj7Eac5GPtl6chJzpTSyAyTMHHJnk6MhPiwiUzpEoYaXHBx4L7kWIeuc5uX9CBUr5XTvq9wQne0mAIBmw/iGtGO6jsE5tE+GnGAWtQJGCzoMyI9hevOHABq4c9WtZkJVZF3MRmQAaZqLBme6vpLoqK1hEyhpB33RY/2RZWXxNLIZNXN2ZJSlkmCQhE5pnNibNZ3XlxANeavqAD4E8JZ8fxfA96r1vi/L7spduStf8fKZAc4YYyR6ASHiOYWIfhnALwNAh/X1318wDbmmMqWcWNHV4JEC4MvncakVqYiNg6Pz2RouHg6A0iDts0kRaYUotnVpGhKniacEKUErJbh1Hb8BagZn2zAHQAxgktlxnIiHtTECiXzW2KzSFcU0idedme9Q8TQy36JtF9MQOMccjhjzdCNPWZLNXbJBFGvAuO6uMTjTNCSVcLaGkmFyTgoLETRpJlwlHgUE34ADupZHFEA2VyKR0ANumIaoahoCgKapHKttctZpbJs8p/cnLVQ/8xTElGlIdIFHBesW6pm0lVKI6w5h3UBfCdmrafj8kwZnLdAs05DMupV2pqsd+jc6rCYZCRmW2NNKwaVpyMyYE0WeJgCA6zQnl7kIPTiMD/nczJMmyyLUoGzsGp6GVJEbf3+N/TsN1LAqbdAZmJ3JSlnBJslABZoD9M4spyHfu/144VVHFh8R0Tt8HvQOgI9l+fsA3qvW+5osu1ZijL8SY/y5GOPPWbQ3rfL88nmg6Ul893n7uknJ+2VBuU9D2dUNSDyp68f5MtW8byrPa6NPuQ7lZpcpjFILXcnPXKfnXrvnrH9UIhEHl160r1et29FxPq1EhRL1OqrPp7YVpXMhXIvvf47n9qoji78H4N8D8Ffl8+9Wy/8iEf1tMLB58Sp4BVBFQ9K8sbYzrOjAjMyzjkOo5phqvQZi4PTx9LY3R3NplGgLCSsylbA/QMn/IYGgITDDctVlcJLGCbRZg/ojz8uEvMeIPEQiYqVs8Bs+P0zOZZ3NcMUAnN6sES6vQOsVM+9EKSv2Pb9NT0+W+RTAwh4RkPlv1/INKNsnJa/ElUiKYWrPKfKxLSnfOXqRhIalzX1noC7i8kbU/D1OE27ye6XNqoCW1oACWA0sXYda3dv7zNUImxWvU2EhoTHMmfAB0JRl8N3GwhxjXUSI2wb6wrOwbW2ufMbKWxnHeXAGd7aCGhzCysDUo6nGIHQmPzD+bIVIdhtkpgAAIABJREFUBLvbYjrRaNbFiNu3GqrVmE95bd2X+81tip1g0AS7D/J/Susv1o35FGZgfusMvtPMq5B7yG0shvsK22p0MG8NyMWcep5S9X2jEBpC+1RjuleNSs3tO5LbhE5/DQxmPiKi7wP4y+BO4u8Q0Z8H8B0AvySr/wNw2PRb4NDpf3DrmhyXF8SImcYcFt9jDV4BlYDLzXOZBBLlTqnv+WbOGZfhOp3aB5AODLiFApTFlE9Q73/fL/M/AB7JpDDsOBZBm2GEkqFwNoDue952nPJn+j2OE+jQZwp4JngN4yLMFqdJksBcVtrCNLPadYomHHVy6mJ3fUo1zzztkY7GGs05JCkCko43zzmP41p7S3sAJQStgJxjQdX0CDFmcE/FyOvEAJLcEJ2u0+xAY7mFmxhBh6UNJGfNsuiNnivbSTlXGmwBLfcNTNrv3IJSNCRGFvw5qLxM+8AvBO+xeX+AeVJyQ7REUtKEkMZyD1iJhgSrEBVBDywSrEeZ1uwO5bpWxZwfoK1m9S4BV5vHe5x1CvZJ6QD10ELtx9yJR5OmIRp+Y2HOe6ixjOTJ3R5BuE005M8956d//YZ1I4C/cOuj35W7cle+MuWryeCs53DPMxNKzl1aA5jLOikcmADC1Isbw2HGOsHr2j7pulLWoDnRq3K6Ahiwi8EXT5N0zArIWxj/NEfxbjEuImM4RFnVi42DCr+ApwNqYWIE8BQJjS2JX8BzlbKiYAqxK4BhnmKIi3qS6w/rBvrA05WcsAWZLh+bJaXfpD3SdwCLKU+aniUzo9RqeZ15LqDyqs2aD7FqN79poY8jgSFkjkHs2kU7xq7h/SfwuG1YKWvUrMZVhWhjx9c4OcnHdYuoCdoYzKcW5kqmUUohtmzt4E74Da5tGWn5lXh+NIpT6a2CNiqratn6utansWJDJBrmPOLzmxbDPY1uXa6B21oeHSWeRdLgbBTcWoOmFu6kUsp6Cezoq9lZvGShm0DEV93XiyjPx65oX2RZ0IZfRCNXhdyT169oxHXdn5eD8GWVTL0uQCiAAvp9iSUadXM71UUMp76UQtVL8WWcgaqSNDNeNWPg9e0s6pyDaz8VXc2l1uZz+PjHJYZykRPTzximUqc3D5XQVX0sAPz2M5VT2E03zKc5hqmlS1jWN6isCGO6GaubkpQcT+si/pu4vAmIvOEmz6FPGYVw6BSl7omObM3SXBkMOqIKc4bOsmaDCuUcACETaYCuYxaL9kiWh9YspAagiEPTVMhi0ZoiZpy2a0yub21fGDoNNR/d0mI6FEeH2JllxykOZMn/FIZdy1SAuJpV95hRrIs58P5DoxG1ggYwbxTa5EhmFAOpo88K44vqiBuYbxRCqmoE3EblOtENnXZoNDuSaZ1HY6HTmLcE35VzdmsNmss9kAHOViFYQmj10intJfqd17ezeBHAWalfLRWxjrZJ0wYpHPOXhKeM+Mt+kiJV1leoZPqqY1HKcXge8y2L1YpjWD3SqJS4YsVSrJWcM8CZXM5SjkmW+4uZ6lznSmRgsH7QFYNoVN1grCtR8ily21jDoOfsSr0qt7AI5DqqYS7aEfXDl7Ivb7p2tYNaimQtziEAUNxRoAyP81RA6SK0M2mehiShm3S6gy9OYem8JC8juY0trtvsQEM1GhRtCua3VMLHkR3IOfclgb5iCq017D5kx/Q4s9OYmhxMz+vquk6pH5eIhek99OBg9jrX6SaAmD1RhWEqHb8aPOwuLvYfreL/01Q0yEstRLi1gpr8kYv6tUM9t7y+ncWLyk0y/DeJz9ykCZm+V7J6AIcUo3PLKcvxPkOV6JUSziJTjEsCk9zsk6Qe152FcSV6UBGP4uwWUQUATOeOcfFZ152OhGNi5Dk8AeWt7Bxo1vyZHqq6PqIwlr+LalM8EsohSLQiia4cppwDUo/f4jwjHp9z+m0qkvuZcDVMOepBQM7YjEklvK5j8Mt1U9SiuqZ6b7IKVyqUohbTzES/qh1VUtlKneI0Q/WaVdd6W66JpJuTrMPbFtsAezlnjw8iQpxZKcskWb0qGpJk7NRRNKRJne4835jYpg4TaOb0/6R+pfcjumdNNmQCAEPE/6fOQuQFldWwjYI+zIsOlo7v8ReUO/Gbu3JX7sqtyus7sngRZqHVkoLtZQ7uqvec1tenClVqc6J11/RsEOWs0zSvB7A4FgCmYif5u34oOEEFcGaacqjeKl1XSFPjlAlRCL7YIabhd9eB+oHr6QsNnfqev3dt4Wwkvc62yTRkQKIhiTacogbGVJhFwRxSKn48WYP6MiQGOGpQk7Lcgw07hR1HQ4aJ34pH/LS6PdJ3QAhX6RyOSFnpWoV1x+v0yG0Uk8fKMCN2BdmfH65hmuUtnYySlVIIJx3Us8v8WzxZI6wbKHFFi6sW/qQFjQah0VBJgi9GhI69U9IA3p90bLr8NOLwTottlsVjzMJcaAxvchpDmo4AFSlLMAu7tzAHj+ERH+vsg9VCdDmf21kH3xk0lZDw/HCNq68Z2It1tZ6FvSipDzVm4VYKeuwwnX1BpKw/svJ5kbJESQsAyJbQ6TVS1jDcipTF6kaFlBWT1mJ62NLN/zxSVjqHY1KWpGrn/Q7Di0lZZijTheTAdkzKmmfOnnSu6EFOs2iJEtd5WA4u6epwnZQlZkdpeGysYfJQmoJVx/tMpCxFi2kaUJGyQgSldPY07TuavlnghaQslTKE0/GvDlBV5isdBu4MZHqjalKWgIaZlBUEcA0B6w9G6GeSX0KU09sTjlhPQ8z+ZlKWmqWTr8l2VTHPeiZlVaLD9skBJ9/XsE8PeT09Pp+UNZ+2sOc91FR18J8nKetLLS8YTeRVrOGbOT2ULtn+LRs4P7TVw0rGiII3XfMmDbs9EGJ5UOp9Vsciz1GTWuaO2ZbSkaSY/dXVolPj7V2mhcdpBiWxHucQzp/xSqHUJ84i61erhAdmjAZgGepUih+wYSih4aRWXoFmcZoKCFuJppBlXZDw7OK6anhK0stp0BNT60NYKJ+n9P2b5AVyewD5vOFcaR9xL0OMHClKI7IeWZAnPLvI9cmWhjWAvdtflwWQjjTMjs+xwjTCswuQVgjSCSnNiXDRB6hpLusm1zrvC5W976GEo9J8++PiIZtGbdMMJdohNU6UIi9a8mSiyBPac9HDuLy6EfNRxmSP2MQFoh88xuaqR7y8WqxXtwGJpggpQnvvFHS5yyMmvha3F/55vTqLhWZglQsClLf7OEJtNiXPoLGI48hZoxXFm4gQvIPStoT8DlUP/OgR728YGBg8PeE3cbLI++gxaLXim19ubtW2/MCvujwNCReXoNUqv+GCdAbmR99lufxqKkTrjrUWFUGdX+bsy3jogYf3+A323R/wsd58hHi1Y8LXMOZpSLi8gjo75TCsiKDk3JD1ajENwfkFqG0RQ8/iM0Bpz6T+LDkj/iPOBVQ/9RMlNyFpfTRWqM18HPdoyybFtXZkZM0KJSOOvL1cVzo7LaOjlD2qdaZwo5LIp9llMDNuVqB9zw/2197hNli3nBsyuULmAjDd77JnRgKgk2q26mf4TQPzwbncDAHh4SnctoX97id8rK5B2K5Ak+P8k131eDQWobWFlr+Vaeb3PsTFL3wD2+/IcqPYHf5iwPgGTw/04MU3hHM3AHD4ktgU2Rw8+jf4+p799gZqnFmTo1IM9/c38CsL++FFHmFNP/tjOP/pFvf/WRlRzhsDe1lAzDo3hEJEc7HGdFZGFuHp7cVv7gDOu3JX7sqtyus1srhtqYeeyRi5MktmRqO6tm5dcgaqFlq4GBnX9GFoBYoVk09rHv0YU+jTWvN3vQSlYssGtkS+pGU3lg2QATaMScbI0wy/Ft2Jat1k2IyUyAVwXYwpxslAcStrLIN/qZl2lrcXfwoABSMwmrc7opmHdVPeIMJjiJ1FbAzI8chiPrHQewtSCmGdQMCEQUyZG5HHiSFyfdP1SaOkxnBSGMpoIzZM3srYzrpljoTWue38xoJ8ZNByXejRk2R5RkWZpagaDRDf6G7blEzSyMbIbmthE8jbtXDbBnrU8K2GcdUUcmXh1yZrZbotn4M1BsN9he6pnJMh+JWCmhuMZ3ws04p4cwSmE25d17F5sRkIjSUM97nCp2mkpFQx21YEd9LCrTXMszaPOKYzg/4RYfu+ySOL8Uxzwys+XiJg+YaAyNdprLNOX8JC8qvZWVSl9jp9yQ2r70lMNRTy0vE6ab1jaf6aOFWX2lax+r5g59XRGh+XwqwV4eqmspCIq+wZqbrBsxx8rM4rr6vKedfFV+eW6yDLpe7kqvaqvFnz301lYQPJDE2qfVuP27O+rgIcp7YjLx6nMYqojHAXXBTnL2T6Ozlhg/rIvqZV25CPC4CPxKIQLoCMWlyr6ALILevA9YtQc8WfABAc8xeSa7maUxuhLHOsPaEcE15VgtziUXtK+5MLUE7qJOehXOTtKwtC5QDlI2KkfI5pOQUGNPVcXaPb45tf0c7iNh1DrXB8Q8lYQookOM9eD9ce+uMOIzH5KietWpNTCs0uE6pS303OAwlQqr0sQ2CdgkoTk5zn65geqAWZKiyZfulcqrk+gEzKSv6h9boRbrlcipoqv9dUH5qLmTNkDu4C4HxRpY6JPFV3CtK2URinqZ6OsRCqjk8VuE0Vi5SGOe83gXFKLBJo9lCaMgvRHDxU75iaLWFu5cSjdPagqe6EWPtSTbrUeZqhewOahOxVtWUebcky3cujEzyafWFRRq0QiVmudp98Tb281SNAybZQRmNzhB487F7C89Kui1wdpaD7uRw/RaUOHs2lgR4rjxIF6N6z56ovnUWwjFmYw4xgX42U9dp2FqQI8dhHIxVVEqdIK87dqGTIWHHodtOQ6HTOqVhMQyS7lG/4Kn+BxDDnaFpwTR2pseLwvcxziI2E4ESmDQD7qa4sYghQMp2J1nBkxcixEgKuJadEKc4BgDz4AC+vkW7DOR05ZwQoOSbG8HZ2eQuEzmTuQ3qoY8scg1TcxkCPDYiIp0/gkY4KwrVIx8BUWJmNLR1VnsJR1qOIORNV2idFoDphUiqV2yusLb/RNR8/3fDz1gCRpwJBxGT0oFhBW+ptEl9ldggru5iGoLHwKwtFxEI3VaQgtBZhbaFGUecWXQqjNMZTwkqySYNVmDcaerB5ymEMVQAnt+O8pjzSsIYwnVBpf3CokyqpPi/TINtYQNTX543BeJ8yd4OXKZCXZyACoeX9+kbxSGS2i/V/KLJOX6juXZdjn4u07Dqv5QUHi7hxGH0T3ftlyg3hveVv1VQjBH5DLjw7AgDJRUkPTzyarnzeJWA5FK5KektRBA/VYyyiNWk6UOenyPnHo7bNHcHLebyVktogIBsOyw6lLoU/kIfoMUL5uIjQsKt5zJ3NK7dqvWHap+ADgJzv0c4pgC1kwtHbPbV/NUV7ntN53m8sbSrGskCkpVXw53DP3EVD7spduSu3Kq/tyIKnIc/pUY0p5Ckr9GVjEKZpsQ6pKX8CWKqFC8chvQXDyQp0UIibiqeQ0sFT0QrUNAutS9rtEU83WduRhA0YTpnKTDKUB4CwXcHdaxGJ0B5GhFPeh54d5nsdEIH2n8scc9tC7w4cVRkrZesLHsaHTZcHTwljCKfrrCgNAE0/Imw7KB/gzzb5WKndaHYIp0IVlunP9MYK9lKIPGMSWbHwnYaeeRSxf9tCTQFqZOEXgN+i5krDjFPF6kxp9wrupINOJkUiCuM2Fo288fxG+C2dhho89J63nR+umZm522O6z9dmOjVQLsIcfJ56AMDuXY3uKUl6udRgjAgaaM8VxgcWzUdFA3V82GG8p9G9z8eeH6wxvNHAHALcWqEz5dq7jcG8UVjJsH0QXsTpBytc/TjQ7FM0BJg3hKhaXL3H7Wh3iSsEjBL1cCsgmgh7pdBcEnYic33/9xtgT8IELbICh3daTCcKut/Ayv109a5B/80Bh49KBGx4RHArm6chbi3TkI7/X39MOLxZzstXybWfVl7bzuKFpQb7nqO1Gb0Y4srntZLAK+eYZjzM7MSVMAOgRD1qE2WhTqcQZ3AOqh8RUhhTjqV7SeOuOgs1TDA7BsBodqC+UJvNfslAVYPLqesxpWNLvWh2UIexsuITMPAwQlfYAsaJO91p4vWB4q4WOB0/0aNTvc3VnLMYaZa6KwEKJdLSXliY/cxzalWAyXzOtYmz/JbT2sEEKQAwoWhmJoUrNRvQ4HL2qGkMr+MczK60EYUI1bvF8L57SmguPc/DE2Q1Mo3c7Bn4LOnxAfZq5vXkXjBXI1pD3FmNGuaqMhlyAWo2eVmbcirGCauPCe0z6bANQU8KzaVD90Qwiz6IIxmgnIROV4wXmD6i2UU4CXHqg+N2JcrtHTWhPXfQM9eJeq5Ddx5gv9eivQhlyhEVumfSBhHwvXROEr7tzv1C90XdnsD5Fe0sFka36tqyWwkJZe6EWrIaK5EYMuzZkTkUqpLou01J4jOVDV2K/0etyiTQGv4/xJLYRSJ5R2Jjl6IkuiD9X0ghlLZRSuTl5W2d33TgRCsXsi8FucAx+zppbZJ9Ccib6h2VeqUJcOIEpAchGoVgigE1jygI0RDzCsA3eNKOCKbULc4O0MSRAfMyANdN9Sr3XNQ8uoiEokglOirJ6jafS+R1vUVuj2AUlNPie1IAzhsLEYLhDip1FlHxvZNGFvlZeEV4qC5fzc4CqCIUEhnJepso5J8Xbl86GyYoyUORLkyKhjif+fyk1a1BsEiUVbRiZSGXj6t1IWu1FsEqFjhJURYttgFESwMlY54b4fm8SiYDUQSMyg8hqofVrTTs7DOdWBEQJ8l3SGSzHKZk1als2vO8m/9T6yXHJ4iqlkJoVQYzOQrGBKR5XY5h90Fo2BzlADhBLSoSLczP1lkEg/ww8j5JKOdpGQRwjHm9oAHlgWAJvqk7GwKEMq6TRWJ782MaFRBshG9oETqNCgiamG9R1YFu8Vi8qNwBnHflrtyVW5Wv5siiVsDyoYRPbwovfhqjMHhO187ya0JVTqpXwVcJaiH/tiBv3UD8Yk0GZtvlEaD3BQfwFaFpduy07UKVFh4KOJr2JXUg52XaUhHLwPPwBYNTGKmxbq8cruV2y4ZCErJVc2mDJHtHRBz7TwpNY4AevEi0FZk5mqX+WZbP85DDyz6zD0lJkKKauQlwSLZi0pIr55CTwhotjMYAPagcWjRjhBrD4qY2fWAwdvIwvS7p4s4z/2Ks8SADmnm/cSagakvlAqILeRnN5V4wh5qlGWB6gp4CzCj41RQzp0LLMmNS2BSwfYQbKB+HZs+DZWknRQTVaKgp8vGlrfQYYfYKZiiYRSSCHjlMTL6aCkVhd86R6yPlZYxHX9vOIqYO4DlK3Dnd2Xsk7YnkUoZYDec/TRW6Tv/2oXAEvGfzmeSaDoDmiTNUVZlasJirvq76ndKtK6k9tE2eQtDsMjmJ+rGAWX1x6Y67PWizZiDSy1x7HPmcW1umXamTNHpBnoJmj1KqpkK1QC7FWAn5CmBrVKGohMhs1cZwpmxiKaoWej8Lq7I8UFm05nInlyFKZ+EBnGTGakznum3KFK3SXUClMxmt+Kwu1MwhHU2Eqo4fNBi7cjE7fakpIFiC2QWoOWbdEMSISPzA5WjSukVo2YM0tMu2DI2GtyoDyKFNqd8qD/u5bQgUIiJRUdNWEvFRBUuJGggNwe6YFh7TZZg9aHLQUwGKafbwDzv4TpX2gEx/1BKkDAaIRnALU3CeYBjf8K2C60pbvoxQ+GvbWbyoRO/zzbPIDUk3VFDPjZLkfdTCMRrMEqwFdYECKlZganQjMD0/GpIK9SMncIViU0jTDLVPWhMhRzMApgcjoChNz26p9pX2L8voMGQnrXxT1ZoHAKffA+JgJjoaY6Ul4YvhchpZ6KsxC+WkkY0aCHHWuVNqLmexGJwz45RCAI1Mcc+aHqL9GUmJQFDI7QAi6Aufkf2cuzK6RYq6UgrUjwizK1EUgHNpZs8dm9SrPVcc9dAFe1KT545irERxZRu9nxmHkc5c7XpYxZEo1RmoXV+uz+SgRpuX2YQFTBNWnwQ0FxKZ0gpq1rBXE1ZPEos0ZOKUFsaqW/F10nOE7gNWn8g9MvoihJxHrArt0xHmwHXK0ZCnDusPWtgrVwhgQaO5cNl82wumZC2PwJqLCeRKvFTNtx9avNadRVJ54n/oxuXZ2bxplh6byVyoNhmq953MdRzTt2Nj+cGq9SCOpfkU8Ru5aT4963TFsnfkfI6GxK5B2LSIBJhhyhmiFCL8SQfyobzVG1vo3pIVm4s1XN/8pi7yd+Gk1F/vWwYb5znrTpSsU8NaHSkbVUYW/qQt1BIXsmlOqOTqxnsW5CKU1vCnSZ4wQisFfRgK3TslXRmNsKoMheS8Q6Mz7yPVL3YSOpWOP5x0UN6DrIHf8LHctoHyPKpxG8PMTADjA5sjJF7enqbXUHOE2Wv0b7YwnwgvZHbwG4vxvoX9wOZ6udMWqjEInYatmJOJbt3IqMidcn3bpsHhbYX2mcgCGsJ0wtTq/qGROkhn5IHxlNtm3grde47Qo8Z0xvU9W1kGKW1l9WA1prMGbqthrrrcjsMDg917EeuPK02PrUSENE9xXKJ7t8QApwL6B5V9wkvI6tGxJPwfRTmlB/FP0dINkSyL2SghT4V98XNU66I5CK0R+57JVxteHoeRZes8RzJiTfFNm9074y8h8oMuUvpJ1CZOE2i9RjwcyujEGBZhSY5gAB97tcpCNOlY+tGjgqOoagqQeBzOlegAwAbGrsImUucgy3Kn6RxreV7tyrK0jbXF5QwypRHD5/q8uBHlzSXnEXY8dTA/8s6CV4IUiSFa+H0gRlA/lsiHE5n8GHOHS6OoTI9TSe8Hyn52+zzSySMcEeXJL4O2QRwnxGGEfvtNuQ4pzTzyVC5dn8byiKyxOepBoy+ShY0tOUXjzLk6qwbqCetyxsOBXzrOc4SsIvlB6cWyLH50/gz+X/5pmMeXuV3juoW6PCBspR1Slq4PJQdmZUGzzzkg7h6vax/veb3WQF31ub1p3/NL4mpXhJ++9jaG987QfnxY3Ns0zLkd83ROE6ifWB280k39P7/zt3AxfHirHuMuGnJX7spduVV5rachLyzp7UcFu3iZdNtUYoxiKsOkqFhHDUQfMYOpFF6wpxt3LuBp8RrJURTvC2cjOaEJQxQAKDmDpfT0yrX9C7dIrKNKSX8SKFEOrXIKfvI/rXU7sohuylp1nkdR2TDoFd9RecSjcttm8V4w6E0CdC8yZyWJrRYXhveA0Rxx+Iy2jcoVXY9IMe+zTmJLyYAZjE5tJYAmfFXfEEAjiqHRc9sjluhVBrlVHsUsNTE+Oyvrq9NZ1HoHVW4IC/iKcXAtAmMMYiifXCrkfiU5FMPICPrJlgHJlIPx5FkhZnkZjqbckPWKrQMABO+hzk4Rskq4UITvnTAQ5SulrFXLak9EUE+v8rFo3yM8POV6/0D0IDcr0OWeFab6osEZLya2AehaICH7yXB4vUbcltwQ+uQZqGt5eH2y5YVXPN1IorgkU7o0jQpv3MuGOfBCDW5siVIAmN7YoHm8B80tQjLlDYAaZ05Rr3QYoIQJe7bNwFxcd7zfsy3UhURO0tBYLAeU6IDGkzXU1QHh2QW3EcDmxZ71KMLK5o50fNgxhXuhwRk46rGf4TcW9rGcv9Fwj7bwK4M2gb7bNdzZCmp08K2BvigAZ+w4fV2fs9amO0t5PTOefnOL028n+0ImrDXnHfq3+R5JmAVizCnqvmU2rxkj7C7g6mu8/aNB6N41gY8I7u17XNf3mzyt2v/EfTz9psXD3y2d73yi0TwrNPwEcIaGoOaI5tmM6V6ZqoaPbt8FvPadxU2y8jX7kRmNrA+xSCH/FICzxgRIi3s4CvhGn8h8z5WwKBnDYKq1ZfskfXcN4BRAL1RMzY4frkgE6tsigRcj3FkLchEmAXuNgUrhUaWKzobWJeSawEHxS4mtLQ8vAN1YZoFOpmhIiGgLA5xUBG8TwLlpckSFZs+U6NZkN26A5dyUW0HvZ8wC9CkfgIOCmotGRop6oAHCyua3PbeBHHYojurcRoYtBat11TSDtILbSgLaVgDWSfP31Fnc04BKrMiKEzJGQBPG+xZml9rOw68MhgcGTUrEMgp+Y5kZ2unM6wAKwKmGRtpJ9CysxeFNwuqJCPE2CtOWIw/DPYlEtAxmUogZ4HSbAnDalcL4gPJxlFDrVQrHWg23MXBbjeZpk6/7dKZx+JGAzYclmY6BU8MYRYg5TOobYkWvEDHcq0LCPxSyejFgoe1QATix70vI9NCzhD2GErJLQ/UYEMdxMeLI+7gQUGt2TEV2krB16PNy7A882kgd1qFnGX7vQSLzHocR8ZOnZUQhx6IPnpTtEqi2P8CcSx3HEeqyhBibaeZpUFJievwsh3ejc0ACUKcZ9PQCcK5k2Sbdg3HMb2oACIcDaC8jr6R1mbw7hAeSsmST7YH9zuMcpo2JkJU6ZzkP+7hl8HJ20E9sqcPsZJSXQFwJcTsH7QpfRV8duBOZ5xz+pVrcxxclMnW1B8YRYd9nFe4sVhMCrDW5s+jebznkanSmcNMsodgQYD+weXSDENCOE5qPWqgnz3J92yctH9ssbQOs0bDVsvaJRHQuLvHOb+xhHoscv1KInYW66tF9KJnJNcC5SvqjWpLLeIR0+oe8bvP+OQPaRheVdaNhoviUXOzyNbz3/zRoz0/RfbDLg+ZoNY/K5PpmKrtRrADWj1ivSpaqOdw+k+wO4Lwrd+Wu3Kq8tiOL7BQmveixj0hia1JFnKp9QdR6zWa4jc2OU0gO6HUm6TQzwGgtYixkK98PUMmAKBGEmsCh3LYtdoIxgu6f5eS1xJCkrkXsQ6GjQ4b+iccxjjlsiXHK04zwwYdc1a5l35BVh9gPoOQx0vegxoLOTnIadwZgK18SAFDnikOy/ZD9QXCaiaPtAAAgAElEQVR5xW8deYOncLMSoDBuVnm/WSO0scXPA4A/W8E8ljd4JctHMQKHfnEd8m/rdRXilCnHgzOQ6EDkaZL4k1Cl+k2HAUrrjGvEjn1DMM1cNznG/GC9SCsHgAiDsG6hdj1P+56clx+3a06US+f54Az+lH1D/KaBeVbYnqFlDoe65GXJvtAA2L/ZYj2mUaRiZfAYF74hqbhNkd+LBjCHAH1wGB+IYdH3mKxH9Wl4D/feGwityOrJdZgfbrD7EYvmokw9p7MGzYXOaeiJaRoaBbdWaD+ZsgYJAITv3T6J7rXtLI7LQpOzxiEW2ES1vtaIymUA9GhnFe9Aflt1jDqvjkhZwPJY1nDsP3EJ9ge+eRN3IKHS6y5rRqQSV20RvDkMpeOYprw809tXHbDbZ7JZ9laVusfNaikETIS47hC2XcYDmPjFJJ4gYj1qGAW41SxSnM5DXL782Qo6sbLSA9u1mSwFAOOjDuowg0JYYCTqoMVC8Xp0IbVH+g4wSGgqbAIQrGb27GYOIYkBoGFEEPDWbRng1L3JWpgAC9K0RyQjmgNCq2EVE6naj0p93dkKfmPzlMKfrjA+aGEGg3lbpjcIEX5tERqVxXqm+x2iUdDnDXZva5iddOaS3QpN6N/kutlDuTfHkwRwMjW72Sk0O4X9W7x8+63Vkn8jZXrQYd4oaZs5n+/uRwmbj8u0on9gEA3lziKR01xHrPuJBv39CrOwPwyYxVFZ5IrURLLnJIxFCVctLQQrodJKWRuAqGX7ZXjtmLCWwpg1LTxyIlLwQuvOITF3LcxJzuf8iiRsA/AoKi0PsdSHyVi+fHJD8PdpLnkszgkGwEh6vvzOF2XsdKxQlKCjKyrayQ5QjYVqnUcWswNUAVTNwefzozrdXEZptQtbKiq1B8p+1FCpeIsZsAqSY5KXc3Qk+qLurUfNCWeTW9DbzSFAVW9xQMKaUSjcjSntCECNjpPjUrh6cjCDgeodtFY56Ywi57iQL4loevCA5qS+ZhfL6EEHUNBQvYM92FyvVFKUxs8kxsgR5hCKmlalbF4XPXgWTRpLAqI5BDSXGrov+2/2gf9PALK8YMkrIMo2TblmL8MG+Mp0FouRRZ20lfM2jt4oSbG7bUqYVSjOJMI2AIp2gzVs2lOrXd+QHEarFQ99U3TCNizJd2FlqiQPojUM1tWgqtGZWah1NYTXZXkeWSQFb6MZgK0SvshohLbQp2E4uSh2LYcSU3XXHcv7aYUgQ3i9L5EcMjq/relqBXjPIcNZIhSp3kmVPKWprDUDi1rx8nQ8x9O7nKxWldwe8h0AwsqAZgEK1zzMZ92MBqqXaVnDOSlqmjPl3LeafT1iLO0GwK0VdyT1cWdCaDVUxxTu3I4AfMvLUtKh3zSYtwZaK+zebSDBZqg5wK2ZyZrUvd3WYt4q6N0W05bgu5IQ5zuCHs1CUyOVaSPTXBlZAABFxVEMgK+789e2cxsNt2JTJS8GR26tMJ0CflWOM20U9KhuHFlcvadgBo3x7Ic8kWwhjXcbWb3ZFffx7FRGPNpAvOYUjn5gine9k2Pyk2dT4tpcJ84TU3unGUTV2/MwMN5Se532Y34TxnEs3P9pznPhPLLoJeN1msonNwTL5O37nOeR0sjJB34rJxxn37MO6GHgNzvAyWUyEokhQF2oXJ/oA/RFnzGLTAryAXEqmEX7ieXjhwBV3dg0TojTXLJ/q6JSewD5vI3ROcEt1Tt13pRxIsvbDmP2HjWSxo5pXsj1d0ZdwyzgAkcIdj2sjwsKt77ooSafIxzmWc/K3KPHFkDztM/70D1bFKTr1EbA7DTUxQHbDzdoziWpL2EWlwNWNiWSlTZKfiPHmAVik69ZnWCYSvN0gm0U9MVQzhfA9rsd2ie1/B8ni92EWShnsPpkgh7LC+VlEsnuoiF35a7clVuVr8zIAgBepG9xYwk34BifRx0WPg9CqQ2coflZqcO3r0eh8mbXs2P8JmW9er/wxog+8FSh9tyoBXK+zJKO7wNP82odEKB4kXzRFPdUF/E/UXMldBMjoo9ADZ7GZH/4JdQr1UE+X/U6KRdZBuEVn4OvVmeRxXmrDuN5zmOJakyU594kwqn8exHmBZD1NrNozvP2qWXem42VdZmPK0L0FQYym+IWJssKXmCWLmFHBsXZ5Uzp8pnroRcp6iSU8trxjI8hdZuL+xm0pD5rDYIruIkiIDKhKE+l0pSpsdkpDAD82kI3vF7sqnoH0WG4KfdD6pHbARL5mCSK1LHeaDTMfkw3dOgM1GwKUxZg9zYX2Fe0Lcd3G7NUCgMDnKHRUJODX1mYqh0ThdsmMZnWwq85M9WtdZ4yRB8RViyqnBzUfGcQLYsKTVuFNmFFmuBbDTVZuG0Sei6dTHID8w2JsC//Nm1Vbmu6ASD2KwPXaeiuMmfeGEz3CG5dt4GGmm0GOH2r8ue0UbBrjWlbtcEPBYPzppJGFrcBOOm670hG6WOoXNQFmGotszirm+8mgDOltGeFqRiW66XwYMu2e/UeojUZgNSmsi80VQgw8UhaC0odk9bXAM5odFENz2KtS8CRl0mEJmEBWYxX0s4TbiI8i7Cy0EnJiiR02ppFu7iNhm0NyOvFcvKci4MbKPqpPdJ3QDqCgxw/g5+Ss5LbTDpL73PH4Ncmi/SG6kHh0OLy/KML8FZBjWL/VwOcyRIwMX+NQmgUyFdp+QBgWBzYrTW0hEF9pyVCEjCeKayEPxE1wXcKarKlA6g6i/GkAjgtsYoWAdNp6ZhvGjm4TsOtWdk9hU7njcJ4Py7sCMcTFt9JwGXqLFwnSlkrJSFUaZ8fRoAzhz+Dvx3A6ZyEGSueQ7VOArrS72rf3w7gnNjLM7/5Zgd1GDiRLKqyv10vsnwVwKl1BoniMJQ39zhBXTCRKQGctO9ZfWuaeJ9HACfte0QBBxEYHCSlSrYlwKAgBEwV0544z9whBdbLTGBmUvrS54frAKfziJXvR/uY6cwIIQOngACc43QzwJnaA2XEYoAMcCYCHAZRVE+0d1knTjPUFbdRNpGe5hydAICVohsBTi0AZ+PCEuA8P0ANTQY41WWPJjLAqUabwUw+NwN90FBXXN9G7BHQDzh536H9RNatAM61TFtqgNPsbwY4Sdx+1O5wI8DZfTKw4vdFn5XMVh9POPl2h+5xAT3V1DwX4PQNK26p8dWUsu4AzrtyV+7KrcpXZ2SR8IqY9BVezOBkhSdVPgGQCnlq8qoMTrIG1LZVerlhSvLOACSO7vgSGJzrrjAMHac01/sHAD1OzC6tmZqzELi0usbgRAhfKoPTn62gb5DaozlADYnBKbaHfZ/T778wBudJh+l+Bz14uK1Fm4kmEb4z8J1GkzCGey2iUTAft18Kg3N80AqO0kFVFoovw+B0LQHUon/wQ87gBBIx65bryjCRtCpzxqBA6iUjKsfFNsv5bJ2irm4mJH0hpXY6i4JfiHNZln/XGrGzoLnJAraUqN4ZvKxS1r9kicVItJB9g+I5edSqdCyagVtl7a0Nnl65PlpxO+mAeatgdpK56iOiZcA8Gx0ZBbdSJafli66bIoD4s+6gX6a4DSuOR/3p695UXi8NzoRUh+vhqFqTM+lrAsgamwtxX1Q6naLRCQDq7JRxh4p6nJWpVitgnhealJlxWB1LnZxgYTUwzaDNGuH8GY88kjDu7HjfNVhVaWTGvkqpn6ac0OWfcqKT2m6ztmisFLPDOEK1LSjVA0DS+aw1PtO5UdcWX1cAYbdfKnq3MkIyhjEFopKiXqmGZ01HgO0J9odlOwCAc5yyfxPde9WVtk7p6Cfbhb5p7vxSmjpQQrqhwhuMaJcEv4gS0WZ1bb4fQ2C5/mkCNQ1fp7T+dgOyFkHkCtTDB6xr4jz8g23Gkch5Thn3gclyANC13FEofnFQkgZIHeAwIm7XeftcnxR9Sh22pNDnUeYPPrqx/eitRwxGx5jT3NXlAf6NM+gPS3Jc7JqS2p6OA2YPT+/eQ/PBZYlgEeE3/+mv4KL/4FbDi9drZFF1EmQbBvMSPyBlgO73MG+/hXDJ+gHq7BTh/Bno7BQxqUCFAFqvEC6uoNarDGD584u8f/Wz3wAA6KechTn92COYqxGzuJDbf/z7UA/vA7NbHAvOIT44y0pJ9tsfYv76W7DJDVyyGqd/7V9Ccz5wLkGi/T9co3/EIcKTP9hheMg3SPfRAeffPAUF4N4/+n0AwPjHv472e+cIpyvoJ1fw90+4vt/9AOHr72A669B8kpzbRQzljS2GN8uQdPutC8ynHezjHcZ3WaC4fZ/bILYGNDrMbzCp2fyT3wMAPPu3/zjac8k9GNhgdz7RmFcqm9Oc/5TGvW952EPIStEUIrpnHqvv76Aq86Tkddr/5CO0T/hB698QN/QTjc37vCxlQs4bBbsPsJfcwR3eabH+YETz7Y9x8Qt8zYb7CmoGmn3EeEqZl37148DqY8p+owBgDoz4rz4JOLyt8NZvcpspF/D0m1sc3iS88xu8bP8mTymaXcS0JWw/3OS2nLYK45nCyfvc1ru3+SF8+9ef4Nv/ZYvmNx7x9W+A6Sxi+13g2c/wQ28vFCgCFAjDmwKAn87QOmC+aGGfauhv8L376Nf+GOwlmzirZGSkCU9/usF0D3j02w7dR3w//8Ev3ce/9ad/E3//7/6ruZ7D2w6r7xtW947AvJX7chOAAKzffxOHd8tzNvxXPwRKWfE4ElHNP6II3gBgIRznQP1QtgmR6dveI9bLq32oc5Fz2x8ARbAfX4H6Ec0g8/R5Rtyx0jKSCM2elb5Ja5g0nz/0MI8vEQ9Lde/2wz0j25WLejN76F4wiydX6AQDUBc7nPxhMhHit0L70Q643LFozL6HTtGXYYR+cgXVz6BLUTyXN7aNMTuEAYB6egU7zKDLHdqUOn/BHV8KcdoqqgMAJ98ZoHdCy5aH3j6zCK3JNy+FNTbfP4BmD3uRUvUBvZ+gnu0WRk0Ak8a6H7RZrXolFO1m3cA8EVXxK95P2xqo0WVpv+3koZ8dEPd7bL/Db/ruqWAWg8NqVW7hZt+gfeY4HCjvSjVHBE1oLia0z5qswk0h4vTbBqsnJgvXrEcHs2PMwne6ULgBtCuL1cbkqEfCKOhih+Y3HuH+7/H9EAzBrRS6T2ZoiTrYQxShm4BRUsL9yiBo4HTPLuq7T/hlsPneFahnd/ek4RmJcF+dYN4qrL+3zyOeh7+zwv9q/xW89bvVw/++xuqpz8bIWSmr5USy1VOH1cdlNPb4uprAc8tdNOSu3JW7cqvy2o4sGMx8Dp6iCEs7uxv6PKXYqCZ9ggMpi32kzwQWalWYmUrxflVcbhOXZCbIMbJ0XnZJp4r4RHmfGWwlKm7iWrFmYqxYk5qglCrb10xVpTgTNc3xfdnngpEngOciQSsDs4q3OyKesWN6Opa82QQkLlZ4QDAKKoTiOh8j/16Dv9JO5D2C1tkrtTjVl3XTMaNRiLMq7WDSOai8XTDFezVYlen3XC+ehuR2jkHqrhBNRUKjiGhEq7Nq2wRwRnPERNWUQdjFORC7oCeznmAI3jITNSb1PwMZWRCCwAXJOT1YwFtCSLrHRkHrdA1KAmTUopepSr2CAUIb4S1lR7JgpQ1kZJGiHcECFOS36qmPy8v/wvLadhYvLLryFhXB3pxiDiDCZ5p3Tfc+3kfanpTi9GfnizkNUTa4yZ6i1nIHVtO9KUUXlh1WbMQ1jCg/JKEz7KFJBNM15Vhtw1RlH2GSiE5jBESzoNFkYIyE+RntkWgxhCFae50KBZyMKb6dCZAU5fIF3RuAX2mQM3kVKIXQGviVRhDWpFspuBMLs6fMHiQPFtG1hcaew7RBI7YaEAJVEOq4bzV0Ot9MHtLsFTqb/H+UdHgv7eVXCsHxjT5vdA4hzxuCnhQzFcVT1PQsXKtmjelEYZ0EmWcPt2KqdgL8fKvhOwIF/vRtnc6u4TuVl6WQJIzGdBbhJE3cW8J0Qmj2Je08knQWAXmZk/z3KA/2fCLYwqowQdVUOia3UnAroZLLvTevCXg0YDrpcmcxnxBMDwTBLJJNou/4GpkDYd5UPcTnyeAkor8B4M8A+DjG+LOy7L8A8B8CeCyr/ecxxn8gv/1nAP48uFv8j2OM//D21SnlRcbIcZoLUp8EV6Z5gVlE7xGrz2sloebjyF6c+wE0TIVhmYyRXRU5GZlNScOYO6tjr9N0LL0bmJ0Yiou6IsoNTvs+S/HQvkf7dMVv55SafTUgHnrmalTp7GGaoA4Dq2knWb3k1XkYYGoxmoFT4jmlXbxOk7aHU5yiLgxKL/Vuzkeog7SNPOw0WejB5MSqVafQPO5Bs0ebXdAjcy+S/YHUi4g49f1qzGxNLeeiWp2PnxixNHooEZYFAHPB68RphpX0bDU33AEMM/Rgi4O4atFcOkRCHgXpKSASwV5NUC5CXcokPQQ05x2bKwuWYiKrgKveQY8G5rJmRlqoyZZlaQQ3jNh+F+g+EQzLKDR7he7JBCeRJputAAAzCP16xZ2E6VmwJonU2PMBapwzMMyNQuhaDT1wnVLbrB8HHH5vhc1HLovYmF6hO2dgGrF0ar7h/7tzvxC8UTcI3z+v3GZk8TcB/DUAv3q0/L+LMf7X9QIi+hkAfxbAvwjgRwD8b0T0UzHG67HQTykLsRtewJ/Rc/gxGRs3Fhg1qLELKi81DedmyKdsmksUmTmIGI4/W0NpnUlN9L7ikQSpEnpsLPM2tsWfg652CGcbkERiElXa3V/DSGgsFX9vjVEiIOt+hrvPoTXjPIY3OyAC62/JG+r+GuYwsHye8+V4F5eImxX8aVc6m6SNeX+D8VEhZa0OI8JJBx0j3ANG9k0ChkVT09/n5fQDPu7h7RWaZzKyGNl/wm0s5zuMfJddvSdWAKPHlPQcI9BcGdjZFWPl1AGEiOn+Cok+5STiNJ8aJAqcOxGZ/5WG6T3MFddheHONTgFqf8ialuOZhnIRdm8xnajcWVy9p9E9UdxZpEHXGBEMYfVEoX9o0DwWYNJH9G93GO6prMI9vrFG/6aFPVjMa5X1KADAbXkUkijciXB1//01nv1MyGBmNDx6cG2Li5+UDuCKwUWKwPiA9zdvIqKJsJcK7TONqx/nm/Pe73dMCSdUxkWEq/dajGcEPWzQSmd7+XWN1c89wdXThzki1L8JrD+UKVMEnAR03Iqv0fpDwuHtMrJw/ztuXT51EBJj/HUAT2+5v18E8LdjjGOM8dsAvgXgT96+OnflrtyV17V8FsziLxLRvwvgtwD8JzHGcwDvAvjNap3vy7LPXmrqZoiZbUjJGi7EAoohZt+Q/Hm0j+xALspZNIvuQ6W8xJoRy+PCs+4i0npJG9Ivj6Em1pGkKnRKc4BJSUXOFxObEKCHgBpcyZZ0ySy51k1wXrQYXf4f4CG8OVRcldkxz0PWX6xb7YdPVaZPvecRhdQXAJRMbZRMQ8wB0KMHTQFqSpoPAE2pvZcaFQiBzzVNl2Z2OtN9KJqWtrS7Hlxebnqpo/c5Icu0JO7jHsZQHsHYnWL3L6I8stBTRFQReggwfSgp7DHC9AG2pbxMDx72oLNmZp0AltibaVmicJPzsBcK9lBA1kg89bBXMrLYxTyySIAjeX77mx1g9hFWFMv0HKAcu6ilVHVSCvbAeil6KPeo3UU8ebLFo0PM9469IuGWROF2yL3gCBRY87O5LCML9RJj/lcNnf51AP8CgD8B4AMA/83L7oCIfpmIfouIfmvG+OkbPK8kPCIGxBhvT1lOoio5m7UM+8oqCWJmBuGtueZp/4vjiEZDROkU0vKQbqbS8SEst01/sfav/IJLnkakwwUU8RT5pJjAOz4/CtU5pLqGkNfJHfsNLMXb1IePIQtSm1Vtmox78rJY1uXPVKdYln/GNk1tUP+VfVfHPl5203YBVXuV/28sEmGh8Jw61C+fz+GWeaWRRYzxo1wJov8RwN+Xf98H8F616tdk2U37+BUAvwIw3fva7y8yOT5Wq7rp95cpNW06GdSGo7dk+v2l9htv/kz7rzqjdNMvRkxy/Nr0OdbbfQFlebOnDk46s+oBo/zQVw9dpRqWzzGd90L96hUrV3USpXOtfl88gHwQ5SK84tGH8qhGgFVH/QodV10oUHUPkXT05TxvOl8KYJZl6oDFuJikTWMIxUT7RfHNgAVgedxB1R3rZy2v1FkQ0Tsxxg/k338HwO/I978H4H8mov8WDHB+A8D/9UrHOOZZ1FmnKVwKiDITLbNO62zTKuu0vmq1dygRIawsi/xKFiMpxSFHH5YhSu8XIjZKK/bxTJyH5Bm6slC95WSpFDlZ2RxqbNomZ0yqxmLeGFCMOavRrSyUMUDLxshZZEYpoLEIKwMlUvN5+rWymLflktrG8vkcDIKE5HKo0hqOVKyW+5hPNFQKnWrOXnRrDp1GAffGMwW3MVCTwnySRIAACqyglW/yINcmRPiVBSWf0DXv3200rBw/hQxZRRu5E3IbDbNnIaB0btOJYok4MtloGADG+wTlGOBMISg9RviG1bbHU4VtUiqLbFI8nqqca+E2BuOJRlTEKtl9pRy+0RhPVNajSNmjW2swvOkyMzNYBjjNoDKYGWyhpI8P0nlFRBtZ10IVGrjbmPwyqAHO8URhOiO4jYEW5fPxHuHtd8/R33urtMHDCD1RDp3OAnD6lXSek8p1AAot/jblNqHTXwPw8wAeEdH3AfxlAD9PRH8C3AR/COA/AoAY4+8S0d8B8P8CcAD+wqtEQu7KXbkrr1/51M4ixvjnblj8P71g/b8C4K98lkql8lwWp9Y5I5QMvyGhClErKiwZmjcVU7YHEYJVIGsy8cdozVmi5IrJrjH8gjCFjYjETDzS02AykeYXXBpZWJ1lzkJjsopR7CzcingomklZSmwDWVJvkUresP5jziiUN3mwCqGpztdoBKugtOL1gVJvoxFDYAYkiv2Sb9SCjBSJPTFcV5idbs1kKKMIs5CRKLD5T21nmLU8Q4RvFbTs13VJ04Hy8ZPruW+UkLvK/8EqaKXgOzl+R1AC2M1rykNtt+K/qPnNCvBgMGrmNczbMpKKIcC3xGnbTRoVKPiWDYBY9q5Aer5ZLvMpX89oqNM5j4x8w4QrtyLMGxkheJKRF48oACCcOJCJmL2FcgR1Mst+LdSsETTx6AlAVATf8bkFq/I1dGvgG/ce4x9vysjCbSLcuows3Jr34dc8lfQd5WV8fXHr8lozOJ+LW1RK1AnUJNSAZMwP6DUdzbTvFKFI+pRpvWugZlxI9xHx0DxdsMTQpOPj1P9mjUxklJ5izBcqI/SEpZSf6GIuVLgFxwhCEQdQ/EcqSjbAD00UqnhInURaV7MMX6yo6AAz/+obKLuXKSrDYs1YAATgPC6J14IYC7lIUcYXMjU51U/qA0g0oVoeDPI5pDZNiWIJxEv1jSZmMlJC+SmgdKAROTkOkO0qbCGaRBmX41ZPRzA8nagp3HwAgtYhd07p+kbF9cnnFrndopUOxESoxiOoNOVb4kEqlqkYxZhp2tGUDj9qYKWXrKpoIl9DoXvn+spxgwVCU120z5PB+UdWSC2Ura6VirefzZGT/gR8Aa2eA14tbAqJoCbWdcwgXhKJ8b6MGrRmo5zZZbvB6Ph7PBKpVaNnsNSHrNNAM4fveMMInVKQlYKeI8gj07HJRcYpYhRhWKmX5Tmt7l1OTU/nogcHc6gEdEfHYcjZQffLddN3newUpfO1fYBO4dCZ8yrUHGCGMoe2ogSgXMxvPwqAmhmUSwbGNM7cyQBQU7FNTGK7dh/y8WP1Fje9z8vt3kJL+2ohhZmBoBxnlCpXoiP2SsH0MT/YqV52F6HnCDXHTHun2cOMvCx1xOYQ0OwU7L78n0okFtdNy5rKbnC+aHG6Lw9jNEy5tpe8jtkhhzHTyGT2FkEZmL2CGgGXsndD6WBy1qkiNFfc8bJFYwqdAv/0/G3oCRkTMZcKdiedREDuSckpKE9oLiL8qtIAuS6X+tzy+nYWtUAvsBwh1KIyVfr5IkX903gWicnoPIfjxpk7geSGPc/ANHMnUAvlePYNVaP06D7w9yOehR4cM0idz0xU1TsYGYrT5KCqB1j3gR+8JPh7EIHcQRik6W09cyehtC5v8MSdGBzMvuoMphk0mEXnlj1EhcORpPLSqMzsfNWx+DzqYnl+3kVzFaHHAD14mF46Qs+8BBqmMlqZHSfWhQh9mItX6VDVUb7rnJAmbTdUvqoDX4PEIWksgZzwIkwZ8TSXhGYX4S1PBwDA9tyh6D5AjzrXgSYHuwuwK1XqdXBodgrmEEBRsVNYXQh5WeosaHawT1kDA+DckKiYwt0+42tt9jGHQlPbKCefI/NWmiey7mGE6h3I6szDCVah2QUAXKd07zUXEe8/vod7V7EaHXHHEiTSko6jJwJ5vnY5rwUvx7N4bTuLpBClNgznhqRQFD2oa4vqUtsiivqT2vK6cZqZBt6r8gksoiHhRFzFxTbP3V9Baw13ypPR5uwU8XTL1OX0RlyvOCq17rL4jXli2Q38yVLKf3zYoYU8cCnS8KDD8NAiEushTA9E/GbyGB4YUAS6E9Y1GN5eYz05uLMORiuELa+rLnfw99fwq+IfkToNf9ZheFQk18z5Cv6sA00z3D0+L7Xnz9iwNL8/4/1qGT0d3rLoBD/QI5OD5hMDtyLokdth9y7BHjR8ozCII3caKtN8km/y2LWsyzB7jG90aExqmxZRscaCHkUIR2jjbqNg9hqNjMaGRxZq7mDPW/Rv8LkN9wlqBuxeYTopN/7uPcB1ajHdcwNnbK4+IY4m3BOCuY+4+prB+IBw+odC935gsX9Lw+4kCSyWtpy2CtMpZRXurJm57qC/sct6FKHhpDAKKlO4bxS/OZmhdIS7aNA80Wh/lhW8Dr9zBrtj8ZrU3pGA/dsa4xnQnTd5xLH7UeDf/OZv4x9+60/mKd7wjoO3N4vfkGOM6PBueWn6l1Doe1VS1s1C4y4AAByDSURBVF25K3fl/2fl9dLgrEqtuQkAYb/Pv6mTk4K0G4PQD6DGVordnB2adBeLqXA5V/3Wm/xlmhkTWK956iHHi5dXoPWa9TvTcL9tEa+uWNdSMgrjxSVL+omOYxDzX/Nj73FmawL5AKBtssAr7fviQjZOiPdOGDB8KrJ3909ZS5GIj58iPYcDaLvhKVLy90htsV4t1Mnjs0tOsz/0WeMz7iXrUnQuaS2K2R9/wot/+id4SgYgmRPFOiUfgLu3gr4c2SdEUr7hI097pjkbMGXtydlxQlw2GRLtytmBdlIfm1zpedqUEwXXK+DQI1xegX7sXdmesRxygdP804z0tIE+OARTwF/lAvuMjB5xZaH2xRMlnK7gVxbN++f5fONmxce3hq9RasvGIjaW1c+Akoj4/oe4+oU/hs33xPfFKPiVgT0fMEnSoJ5DZgg7MSNKylUUIszB4/A23xen/+yKR4xGZbUwiJBwbC304wtEGWXPP/Uunn2jw9kfjBkPcp2GvRKsKAJBRonBKujRQ19O8KdlOPF//9b/gMur928VE3ltpyGfWmoKbLyB1ZiAyucBpLXUXlCsrSl4RNlvXO43BiZp+VBlsvL3ayKrs+OQZohFGMd5ECWswwMzlXOZj8R9fSjHP66HDyz7l0DVtN08Z5AXEIxFEWM5SRown7dElOYlmk7jXEV/mB5IkRmFqcPSgqdcy5FJ0Zu6/SQaQnOVP+M9EIjxjbmKnADFPiFNM0fN5+p9wYlScZ6HxumYe2IsyOksLESzL7k7CqUOgXN6VHJsA4Bx4sjS7BgHqsR/yUt0LGXUpuiRD7CXjqXwAOjUSY1zJnApx9uSL9dRzUWHQ/UOdpc0QBhoj0c0b8a/5PjJgKmf0V42jAEl8NlFxsIUuIOaBS8zCmp0UIdxOZ94ERP6qLy+nYWiLBR0Y0kPhSJkS8Oj8OCtCqkSraiVspJKM9EiGnL7/YrPqio31iKcqyv7QYiydYxFnIaIWZZOQMYcfq23+/wLh0hrdqzE9anigGgC2sRmlVEEEVOUYywerimRTOvr1+c5Ie0X1q3ePkYR99HloUpsWVOEchQBenL8dq6EgWhE3j6PhF4xRYlVteS7UpVimCwjvgdi9fAHTVBRoh5WF3l+o/jd15gc7YrWsJ/tcSFC0IRgVImiKGLMRisQxdJmr9Dex+X17SwkinEckky/LQR9JeqRhme3ctxO5jbOgaJi1SjnQLOEX5NClnNZHPilmtt7Hm1UCuWkBHmLEXEuPqhxnoHZskKU2BaQ0fwWUYoB2xRhGMfFlODzLuRDyXCNUUYWrMoV4//X3pXsyJVc1xPDGzOzsiY2J5ESGzCkBgzDAmTAhtbeGLCX/gP9lBf+BhnwxjtvDHtheGFNlmWx3epmkyzWwMrxTRHhxb0xZFZ1d1VTsKrZeQGiki9fvoh4Q7wb9557Dr3RRKYg1h15C62Xb+Bq3LaLRWI9LZ/cYGgi5jfiFUzKTfvmK4X9ZMHeQVCTzxRjVgYoX4fScxqdJQGkX1oMBpACUolN6vyvYbK3MbUNQwxXSRqevBJspOblwCrsxkF2JgQzxbqj37ZDzHZ90f08WCiuvvXnwOagc8CFfjKhaXxX2wU4d7aznd3I7q5nAeA6Sj3aLuLbaYvIFgDNsl9VSejjCEwGG9pLiG2FZDnClJz3piYlICkeIrZdQT524LnQmtxXWATRHObIhHMbKmdOKfJ4tmINv1dL3/xe5Swt1vNLksFEL2dAvAZ+GcJxDuFjF8nvnRQQtx1CuOaMBmWC3fBWZ8Jip4k3lHYVnGLmJYfnB/X7Z0nw9iYe6TXmVJQLhBCBZDighCUHEFzc5rgS1klKZ0YVOUZnZjr2xwd9t00S4tZmm8sQJyURDBtEdCuD497F7uxk4ZcZjrMLqfIUAFjPVakUHBPf2MUifK8mE9g1IEcV7IInDqVCQEeUnPXoF7RkGNcb1Z1msQzK3h7jIW0JuTemLAlrnUoA+OAIksFYjjkW3XRMuh6p1mldwk4pK6FensNNWLHq/DJsxydU0S+nY+ByBjEZUzZjQgyvdrGEqiu4B/dCZN5rk7hxFfAfAKBfZ3B1CTlbwh7Q7+XZjL9UpHW6R9gU2fWAtegf7EeeSQ9cq3LSDeE19OrJGPXv5oAoYUYxsq6WHcRqDXceFbKCHU6DzolHePb3p9AXnEWoSHzJ5gqyt4EHtJ+W0G/XkFoHCsBhUkAMFmrdb2idrh4WKC62kLS5gjkqUZy36KY5qpPYt+HBPoaRJu5NAMOTe+gOWet0pJCfR3pAU2kMpUJ5SuemPSzgpEAtSQDoQBLOgupQJMpCYf6EOTgTJGg74dqSErAMoMoXFksWLapeSApmbsH+V98/Rl9LjD6roDijM/9wjDc/lFBdqnWqUJ3nAfxlCq5iLgWGEhidWKwPk5qXj2++pL2zk8WXmVAqUO77z2I7+Bgo9+VVD8XZ+Pbzv8szeuh8CXNyzLQtH/j0Je6CtTi327dFRuXgyVva5VkIvKlMw/LEpLJku++310/NdPzrx5VpuELBsXhwiH3ksRCOhkZvU6FkKEQLb1EPjc83bwFTacguMpwD9CCbMtICdGOJssogegNTJ/ByY6GybGOCvHI++DMAmFJBcdDRewKm1IAwIXZkSg2VKUghwsQw1Apy4Ieujv3vJhKq37wOsnMwpYReaQzj5DzyWIdx9DZsodGP6C0/VBIZpx0dKCU51DFw6kvpISW6faAf+9oaQQC2RqOdei8i3n8dbxsqhmQLAUCiJcE4YnMfrnrFfS3RTSSqQgXR6G4i0R8N6JIy/W5KDOdhsuBM+lCRZEG3JHBZuC63CH/drcniy7ROWdNUViXhKLzbxZ9Tsl6AU5pKbsC9ZTUCrCMMBhPses9FXswIl8GpsfSYaVtCKWDdQNoYIJWLVfB0RMXI0NNLClYmyyFpLTJ//DmpjQGAWyyRvcp56IyZuJgRZmMuqI9zvsDG0G+ljLqbPh0nBPKkUEqsW3JP2w7yLb/VlytebgnAmMhmXpZA36F4cRlIh32gUy7pQfdp5T3rSNnLWsh59CxE28EtlleuBQAofz6AMG7RmxBwFA0FcZVSFAjkoGM+RAby7BVhUPTbggoAux5ZHicrtR5Bz7dSGoOFyxTkYg09L6PEJYDiRY78PAdYpzTLM0jGZNg6g7qMzOOq1HBKQl3yGNYlF605HP9sQP0p44AkVe3qWQPVkCeU0vN5nIXNSFdEryzUakB5QedRvbm8otcKAKPPKlSFgp63Abm7/5sGcCWmv40YpOo0R37ZheWODRILEv1IoTzvUF7Ec6bb9yF1uo2bSFKpPsuQfnYel5CaUjG1ClAMYBioIMzjJLyr3bQsZOxB9jZiJ5K2hJKUNRGJ5wJQBDtJh7r1mjIqKXYiWTfa5IZwTO9PTbnYn34AVB/++u8dg59CFsA5liM0RBOfrp+loDJ+PzEZSxiELRyKKHLSWVmug4RimLRZmNlnptRlRnKN1m2K/nZ9AMRtWzgfiYki26zxcZIyBwkFQIDb6wiSEgNnOIYBSLAXmRCBJj+YtSRqvG4hjA2TOgDI5ZpEif1Stx9IFrI3MON84xiiN/Qdj0GymrmrcpSv2yApCCkhuT3Pwp3yunriGq8WLxuq9QhFY+tmQ8g6/G7ZQjYKojdw7N1k5yuMP1dQF1GDsOgN5KINXqCnV3CZgilGUIsOeXJL+qK+m9guG7Kzne3sRna3PItURV3rjfJ079ra5RLq4AB2RbOprGvYxZICmWuPiOSAZ9vS2549A3MWFQ30s+/ScWdzQEi4h0eQiyYWmLUtBRWNIYFkgGDWxkJMJxHu+/kJQZm5xNi+ZaX2P/0B5OVq481rpyN0B7SIzF9UMdh5NkfzjLQfCnaT7fceQZ1cwI0qyNkCbkz7ytenEA/uwYwrqEvuF3tH9mAcNDkAIP/0Aq4uINo+qrB7b4kj7D7w6X79MQBSf89mHNhjhm0zyii+wCXis2cl9j6ZQLYGfQId1vMe+s0sIi0TDo7hyb3gwhvWSxlGGfI3S26DgnS2VJCNCUG8/qhGdraC+PwNuj+ma9ZNNeRAMGlPRwgA88ca5YXFBrt3SyXr5fmA5lBj+vMs3CPLDw/QTRX2/5MDrkcjNPdy6JXFUEtE4DwtH/qRRHVC56bhora9/3iJ5397gKOf03m3mgh56jcWs+/RW92zewNEhQcQcY1TVGaeXzosntL3T//pMdSa4f0+diEpmNlNJPZ/0yA7p3v/9Y8PcfHjFkf/fC/0szkWqE5cLKTzimSsG9JOJ1h9EH2E/r9u7i/crckiNaUIgebX8N6dGgaI8ShIFYq9MUTXQUwmEartHMSopu38d9v6+xRRykAu4frJBPnbWLU5/iQDphNy90NbE6AfYO5N0R7SzV3Pllh9Z4KaI/2C1+WzZyPUr7JAew8Azf0CC456H7opVve5rVzh/KMCsMCjX9JNt/ruCKPeYDiokAmB/h491Nl8if7RFM1Rjuolpwe5nLt5VGPxMF7Sw26K7jBHqRSWz+j3TMkIW2rIZkDziB7c6mPqy/kPclRvmC2scYAAmqnEMIpVp+d/YjFUJbKlw/qeX4YB1ZnGHgDpy8B9/MQC8w9HqF/Tg7p86KtHJabMftXssyTfWCBbOJRvaZ/5dzQmnymM5mtcfJ/O+fqY+CzymUZ7IMKDuP6oQfZpwXwWXHK/JHRl/bLA4olDcUnXXfYW5x9lWD2yKC72AACLRxkWTwXymUK3B4x/F6eLbl+gPXCYfEzbFk/pmo4+neJv/urf8NPsz2mohQOOG6z+u0L1ozMAwNnZGJ7I98Fjysb80f4bVKrHry4e4MWbffz1Rz8DAPzL8z9DMcthlYDqGWilgDc/pGAmXInx53SuLn7c4vlf/j2edT8J5+Dx0zO8eH4MaAdYgWxKk+7+3grGCpw8P8TBh6dhXPjpzdPFd3ey2JIdTBGbbrGMHBPLFQUsF8u4hjcGdrGEG4bwd/sY2SsqCXarNYQQqD7JIZoW9YoLrvqBZPP6RCpxtYZrGigA1YxTr/M5qv8t4eZz+j+3NfmfBeSyIT4LXn+P1j2KC06nnSygl1x2frnC4a9Y45N/X3+6hFyuSeFruUbm39JdT7+9UFGKjyfJuu2RX0TPInt5AX1ZQlwuMOax+9SpYs+iZi/AclDz6Oct9II9i57qKcoqIw3SQBKTY/Sqg1oNqE4jaYte9NCn84gf8QVw1mLyPINacDC5qQABjD+VyM5oki1rJvMtNVQzhNRpdlkjO1/BzeY4+DX9fvyCdGFVa4kAmU/N6nWB4tKSOLHXOm0s5ABk8wH1SYbiZMVjMzj6hcTolUb5kry5/DLH6KSAWluYSqI4i/GPoSay5fINxZZGJ3Qd1asL/OM//AXu/4K9sEygm5QYvR5IKQzA8YoIeoRFINf1VHiqA/bnjsrMATx+3kA1VAyn2shnoboC3Vhh+ttliFEc/fM9POt+guN/1eEczH/5APdPLawiusGhovu5K0YQBnh4arH69XEYl5i956lTADEw9q5Vs9ZF3UogPBDh2FsUfrey64rAiMMEG1R527/x+31RIdktin9ua14LxH92EJFaP2xH+Bz7y99fJ51gXdTzSI77dfr2ZX9931IpgCt0/FfkGYANOYF3tNC+RXKOvuQHvH+kHKR7TiT3x7aezfbvU2rAjWNia/s72i7AubOd7exG9s3xLFLdkLTq0mMzlNws6dWa1NH5L21MljUJqAqsnyGMIX4EJLMo59IBAik5reHKHHbMCM4zDTsuIM98tSiDhUYZZDds6IaYKkO/x/GATEfdkGVLIB8H5PwWsZWGOnfEaLVqkkpOglibcRE5OH259KhAN00Cjmc57KiAajoY398Fc35kGkJKWA4sekh5N40urWwlICi4N1QyxCyaA4niQkI4Rf0GglKYznTkw0jg2abWEG0EWkEA/VhDNSyIPI6AK5dJEpUG0E8zqLaA1Bo9YxRIGJkuUj+Sob/NsQCcZHZ3vs5CwGpAWIVunADkNGme9GMRqlG7aY71oUa+tOhGciOt6HVDZEfnb31IfanLHM2DAc2LRDdkIqDXEmumTMnmInhj7RGjRVkYWc8knBZoHrJuSKmQDQwD50vppMD6UKGbClSnOQqOBTXHAo+fnmH+ywehn+sPHISRVMXqKJBK59V7jBLrB3FcNkIuvtK+OZNFqjI2DFG5y2Mjkm0eeBWqVq/j4PTgqMB52UE0HaRHYjoXeRUSABaGgfbzqLxhoLy2xxZwG3rRUc7fRFo9tdTIuHxZNC3Ugh+0pkM+68kV5diCWhJvgWhaqlBlkJJ1DqLtoBYijMHHLOSyRZ4Q34q2g1xKoO1CvCDwMTCHhieDsRyXyd8OMWbRDdR3B8guckJWZwr5rIfsYvBWOIpZiKaLVauJMpladIHMRXvuhsGF9j3kWvTbMQtF+wwDspnPsgDSOKi1IZJjD9euMpRvDZPr0q6qdXAayC8Hwpw0MVOTvx0ApyE9AOyShJSIr1Miv4yBcdkTRb/f5gWXRNOh+kyjOuf4ApP1lhcG9SuOm6zi0k11PhtCdP3Zgnkx+WWQzZeBj8IjOZ2UqM5zqI76JPlaVicOL54f4/6pjUtEI1Gd2pgNKT2Sk65jferXwX5cuLF9cyaL1L6gwCwVRhZCEMiI/16z89XjCbEZv/DFQIGPIvVoxPWf2ZwHRNnoWQS+BQkuuop9cZL5D2SyL8PLhf/ejzHxVjbGsr093XadNEK63YN45DX9FQAEIm2/pIfF9Qg3JZyIPA7e80tZwpLzuEH/v92v6/q7vY8EHLdHlPdJvyRts56ExrhwLZxC7JuxRAyU9MH56y2Sz+Fc8fGTfb05Fc+D4+KuVJbBSR/PifBqT9fvNH8OUgIi8FGEWApLIzjp78c4XmhHwUy32ZdUfsBvFxYbXtdt7Zs5WXyBlumtApBbDFhhm3HJLhxkslc9k1vZFRav7fYdNoSRvSXZGx/kss5tBmF/zxa0Tbf6Rt/5bSAaPbe1zfd9S090Oxj9zkE3DpYS89RWH/if9Jobhh7IIKhstvryRYHmW9hmwDf5/zUBYbG9jbMkG9stIES8zl+q6WejyJJvP/bDQYSy0687umjfzMkiLdpKCsZSz+KrFMlcYMSiOglfqhyYn8CehVSbnoXi/XyRmaLP24VkLpOhyjW8SbUMimRZ0pbTpFQmHJAl+xJcnWMqns2JPY4Nhid/U2kZOBf9cZ2WXOyWxHb4O+EctZOYKRQkxxaC05DLoBgGkGtLqVSE8cCxIpmSEHbr1SUEbKYgtV/X05hsLkP7QRUslxBWQXQy/N9pCSFVGJspZSCOsUW8vkMtYNaCPQzulqC3rMklhkLEQjrnaFspwrW0hYIpBYSVMKUIdRV0Xuja+W2BTl8r9GMX3H2bUSGZKQUGBrX4h1nYqD061LQ8giN1Nc/CbXMJ0TMUPHgxVD1qSuqj7+9QEY5iqOow2Qw1eEyAcAJ9HUFZwnL1aR0vjbuFl7HLhuxsZzu7kX1zPIs0G5KS3/g13LYH4UvT0xL11P9NCG2EYB5DKQPR67XrfylobZ56IEygsl1Y5jIqKnM2kty4LL4dISUst6Uk6XmmywtPoOJ5MDcyQErSm9p7M774LFMbOqXeA4FSsNxfrw8SvJ5kHAC9wbTXRbW03jeZ7x/91JT0BhVWBuUvgD2GlF/TXxNL4/Gl2i7RMfXtB6+hICIXydtNwWX2UiR6qITgtBl7PHzeTAnyHkQaS6GgY5ZJmCKRd7QCNmfwlo5ezFAKCCPZe0p4H4rNbd6TcFrBjGzUsM2oHyYXGBgfJ4aYDfFq5qZ2sJmDGCRUJ2BGNpxD6clzQsxDkEdQsTfmz01FyMyu8Lhc8lgMexbUHm+v6PYfSnxtz+LOThYBvcn1IiLLAWfhoIjd2qMqDTNoW7dRUYg8gygL+sdVhaIsiGEqJcA1hpZzfm3tMx8J1X7g4Ox6iP09OOaTAABRVRimBYpXxD8hOStima1LJCXqfo0NgCpEfcVnP8SqQ25T9IZKusucqiIHRox2xH3pcglXcW6NlxumykiP0yOw9yq0hwUKRN4HnWm4QocJaJjQMYqjQ4LSW4S4jTAOAg7SOFjnIHu/3gdUZyEGG+QLAYrei36gitQtEwlzuuDj2FzAjGLK1GpBbnwduSSGSqLfK1Ds70VwkuN1vnUb7fvt1B79lQPVa9CyBZFeHyD5wx6hKnSoJbntDpg/kZCDZ+d26EYSViNMWAOLKneP9zkGxe1abtttbrtiPj1tSClMeOWw1kRVPH/uQJff5CRIbfzk4ABjRRgrEGMh6dLHb2+edshm+YYw8m2wcXd2srgSTEyIb9N06LUpUgBoWyqXbnR42ImCnh5iny4LqdNFu5EStSlZcNrWfEH8Bt5bWK+Rna7oIZcilL6rBelqpHRoaWqT0p98+tsupuR4cvHpWNFQyXdInXLf9WUb4d4s2Kx9QJH7Ji8WKLuB9vMTwKqBaDjT0g/I+K3q5gs455C/7TdTp6C0pk9pAkB9mkHPuyskLXrRUWr2mhL1cD6AMO7iXEFfcNk5sz3ZglK0asXnsS2RXawhZgvkl8ws5gAxOOhVD9lHoEB9IlBebEYDZU8K7vllR+nIhJw3f9tDWBfK2ovTDgAVkulGoTr1pfpAViuCgJ9zCloUxHT1cob6xQeozvkloQX0SmykTr12KgAi8wXFPGxGRWT53EU1+1lHdP1bNjqx6JYS5XkHxdennU5w8vwQD0/T6yBRX5M6HUogm+UYvbSQ/fuWOk2XHdtfJUCrFHy1kdrUmlxrHRmePDU/gEDthjWTkYwLSGsD2Ar+mMBGWyLL4IoclmsZlNYw4xzKk7B4d55BUyJhSUpBU/os3wBK+e0VLzc80MuVObDWUWxYSbgyxzDOkflCrZ7wEGZUoJ8mxCYXBfWjG4KwjFzkCByaSoZqT60UhDHo9rPgdSkOdA7jLIClAGB1LFGe5RC93WgPAPJZfu1kkYLI/Li7fQ3ZMihrQrKOppTULp/Hbqohuxwyz8I5avc1VO/ICxnFZdfqA7mZ7gSgOgo+ioEAV3UZQWvdfoZmX6FmisR+L8P6QCHPJdqpgGoZuOccurFCXwvI1oOyiL5/XGZYPTaoTnywGuhHlKFYPRB8TmKf2kPGhNQONieRYlOKIClo9vJrI4nrQ2K4Ki+ywEex+kDi4MPTjVoPAlzFtHwEZVGbspdYPYyT121AWbsA5852trMb2W6y+LbaddiC27CX74xsOwj+HtvdXYa8qzlHdHPOxmyBnxqvq+KzW3+/6LDWRrARCLhFoi4++BaDcNf1abs60NsVoNJX9IPAOxFODSGCmE3Yx9ogGuTrHISxzB0pGdgUae1cAIfF/l7b1yRo9qVjSO2acQuD0D4FUymeTaI9Nu4z8BhCwDDp51a/tgFrwhIwKa1ETfuxUbFqAWnAwj8iBJ0Fg7yEFTEozUAqkhtMEJQh+Ho1yEifRRyXRQBlbdx/11x7v7+wLsSKhAUGo6BsOgbqY6jq9V9ZQHZ0HJmuEm8B1roTwshCiDcAlgBOv2rf98yOsRvzt8Hu8pi/65y799W73ZHJAgCEEP/unPvRH7of/5+2G/O3w96XMe9iFjvb2c5uZLvJYmc729mN7C5NFn/3h+7AH8B2Y/522Hsx5jsTs9jZznZ2t+0ueRY729nO7rDtJoud7WxnN7LdZLGzne3sRrabLHa2s53dyHaTxc52trMb2f8BujM4yzLKobQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f2940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 53.3620331287384 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 0.1} is: \n",
      "[[0.00806419 0.0024     0.         ... 0.         0.         0.        ]\n",
      " [0.0024     0.00524049 0.         ... 0.         0.         0.        ]\n",
      " [0.         0.         0.00806419 ... 0.00806419 0.00806419 0.00806419]\n",
      " ...\n",
      " [0.         0.         0.00806419 ... 1.21651795 1.21679544 1.17498286]\n",
      " [0.         0.         0.00806419 ... 1.21679544 1.21880968 1.17581221]\n",
      " [0.         0.         0.00806419 ... 1.17498286 1.17581221 1.14809156]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb5d7e25c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 53.35458517074585 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1.0} is: \n",
      "[[1.44000000e+03 2.40000000e+01 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [2.40000000e+01 1.36040000e+04 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 1.44000000e+03 ... 1.44000000e+03\n",
      "  1.44000000e+03 1.44000000e+03]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 1.44000000e+03 ... 5.60478297e+12\n",
      "  3.30569724e+10 6.82240838e+08]\n",
      " [0.00000000e+00 0.00000000e+00 1.44000000e+03 ... 3.30569724e+10\n",
      "  2.54319069e+13 1.39916459e+10]\n",
      " [0.00000000e+00 0.00000000e+00 1.44000000e+03 ... 6.82240838e+08\n",
      "  1.39916459e+10 1.40365885e+12]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 54.388861894607544 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 10.0} is: \n",
      "[[6.40130618e+21 2.40000000e+05 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [2.40000000e+05 5.27567127e+34 0.00000000e+00 ... 0.00000000e+00\n",
      "  0.00000000e+00 0.00000000e+00]\n",
      " [0.00000000e+00 0.00000000e+00 6.40130618e+21 ... 6.40130618e+21\n",
      "  6.40130618e+21 6.40130618e+21]\n",
      " ...\n",
      " [0.00000000e+00 0.00000000e+00 6.40130618e+21 ... 4.65877907e+75\n",
      "  1.09712635e+65 2.72264980e+54]\n",
      " [0.00000000e+00 0.00000000e+00 6.40130618e+21 ... 1.09712635e+65\n",
      "  1.87682260e+76 6.70356268e+57]\n",
      " [0.00000000e+00 0.00000000e+00 6.40130618e+21 ... 2.72264980e+54\n",
      "  6.70356268e+57 1.40492776e+65]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 52.921815633773804 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 100.0} is: \n",
      "[[6.40000013e+041 2.40000000e+009 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [2.40000000e+009 5.12153620e+066 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000013e+041 ... 6.40000013e+041\n",
      "  6.40000013e+041 6.40000013e+041]\n",
      " ...\n",
      " [0.00000000e+000 0.00000000e+000 6.40000013e+041 ... 4.30327450e+141\n",
      "  1.02470680e+123 2.54129819e+102]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000013e+041 ... 1.02470680e+123\n",
      "  1.72143257e+142 2.65960796e+109]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000013e+041 ... 2.54129819e+102\n",
      "  2.65960796e+109 1.27631386e+121]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.73200535774231 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1000.0} is: \n",
      "[[6.40000000e+061 2.40000000e+013 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [2.40000000e+013 5.12001536e+098 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+061 ... 6.40000000e+061\n",
      "  6.40000000e+061 6.40000000e+061]\n",
      " ...\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+061 ... 4.29985152e+207\n",
      "  1.02400707e+181 2.53953778e+150]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+061 ... 1.02400707e+181\n",
      "  1.71994184e+208 2.62182142e+161]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+061 ... 2.53953778e+150\n",
      "  2.62182142e+161 1.27508087e+177]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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vDrOQqgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../pygraph/kernels/treePatternKernel.py:201: RuntimeWarning: overflow encountered in double_scalars\n",
      "  kernel = sum(all_kh.values())\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.616614818573 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 10000.0} is: \n",
      "[[6.40000000e+081 2.40000000e+017 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [2.40000000e+017 5.12000015e+130 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+081 ... 6.40000000e+081\n",
      "  6.40000000e+081 6.40000000e+081]\n",
      " ...\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+081 ... 4.29981731e+273\n",
      "  1.02400007e+239 2.53952018e+198]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+081 ... 1.02400007e+239\n",
      "  1.71992693e+274 2.62144381e+213]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+081 ... 2.53952018e+198\n",
      "  2.62144381e+213 1.27506854e+233]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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pme2R9M3GbcinJP1M0mlJf+rur5vZ30p6zt3/odrvK5L+yd3/cd7xuQ0B8hji0emjkj4gaVvSBUlf6HoAMztkZqfN7PSvdGnJMNLiNqQbbkPmH2PTbkOWurKY9bOqcVPu/lfVz05Ietjd/2Xe8bmyAPJY+ZWFmd1Y+/YTkl6svn5G0j1mtsvMbpK0V9J3lyljk5VyZbBpcp3XLuXOu9oo3c5FO5jZE5L2S7rBzM5JekjSfjPbluSSzkr6rCS5+0tmdkzS9yVdlvSAu19ZTegAhrQwWbj7vS2bvzJn/89L+nyfoHIZaiBZc0ARA8n6xbNo+6oHkrWVP2sgWX1phhJWUe+CgWTYGDmTaLTctoTbJ+a+de7SZrHwymJMhrqyaCuLK4vl41m0vdQri1QxRP5uU9STZFEz702wirIi26K/m8Oyn46p4q+/CaP7Dqke16zXO0VM0fr3tVG3Iak+serHyzULUlMpCUJafF6i99E5lBpb2+s+xFUm81kASI5kgc5K+TTGsK8FyQJACMkCQMhGNXAC6IYGTgDJkSwAhJAsAISQLACEkCwAhIwqWazbZCND4twsJ8d5SzUtYVejShYAlkc/C2DEmM9iScxnsbjcRXLPZ9E27HvV81k0jzFvPot5sbfFFyk78vvMZ7ECpb4JSxD5Yx/aouTQ3D5UTNH9ciX+ZdBmASCEZAEghAZOYMQYSAYgOZIFgBCSBYAQkgWAEJIFgBCSRc2QHY2mg4HqK2pHyy+lQ1S9Dl3jT1GH5rlrO+aiFctTxtG2fVb5qVZSj57/FPXk0WkCpfbCi/RiTL0wUwpDdruPxDA1xNKHq9QWb5dHpyQLYMToZwEgOZIFgBCSBYAQkgWAkCIaOM3sp5LekPRfuWMZ2A2izmNQcp1/x91/K7JjEclCkszstLvvyx3HkKjzOGxKnbkNARBCsgAQUlKyeCx3ABlQ53HYiDoX02YBoGwlXVkAKBjJAkAIyQJACMkCQAjJAkDI/wMlZO39OaAjzQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb6c144390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../pygraph/kernels/treePatternKernel.py:168: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  kh_tmp *= lmda * all_kh[str(pair[0]) + '.' + str(pair[1])]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 53.70710635185242 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 100000.0} is: \n",
      "[[6.40000000e+101 2.40000000e+021 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [2.40000000e+021 5.12000000e+162 0.00000000e+000 ... 0.00000000e+000\n",
      "  0.00000000e+000 0.00000000e+000]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+101 ... 6.40000000e+101\n",
      "  6.40000000e+101 6.40000000e+101]\n",
      " ...\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+101 ...             inf\n",
      "              inf 2.53952000e+246]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+101 ...             inf\n",
      "              inf 2.62144004e+265]\n",
      " [0.00000000e+000 0.00000000e+000 6.40000000e+101 ... 2.53952000e+246\n",
      "  2.62144004e+265             inf]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468c8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 51.67221283912659 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1000000.0} is: \n",
      "[[6.40e+121 2.40e+025 0.00e+000 ... 0.00e+000 0.00e+000 0.00e+000]\n",
      " [2.40e+025 5.12e+194 0.00e+000 ... 0.00e+000 0.00e+000 0.00e+000]\n",
      " [0.00e+000 0.00e+000 6.40e+121 ... 6.40e+121 6.40e+121 6.40e+121]\n",
      " ...\n",
      " [0.00e+000 0.00e+000 6.40e+121 ...       inf       inf       inf]\n",
      " [0.00e+000 0.00e+000 6.40e+121 ...       inf       inf       inf]\n",
      " [0.00e+000 0.00e+000 6.40e+121 ...       inf       inf       inf]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688f8358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 53.50304460525513 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 10000000.0} is: \n",
      "[[6.40e+141 2.40e+029 0.00e+000 ... 0.00e+000 0.00e+000 0.00e+000]\n",
      " [2.40e+029 5.12e+226 0.00e+000 ... 0.00e+000 0.00e+000 0.00e+000]\n",
      " [0.00e+000 0.00e+000 6.40e+141 ... 6.40e+141 6.40e+141 6.40e+141]\n",
      " ...\n",
      " [0.00e+000 0.00e+000 6.40e+141 ...       nan       nan       nan]\n",
      " [0.00e+000 0.00e+000 6.40e+141 ...       nan       nan       inf]\n",
      " [0.00e+000 0.00e+000 6.40e+141 ...       nan       inf       inf]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 54.456220388412476 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 100000000.0} is: \n",
      "[[6.40e+161 2.40e+033 0.00e+000 ... 0.00e+000 0.00e+000 0.00e+000]\n",
      " [2.40e+033 5.12e+258 0.00e+000 ... 0.00e+000 0.00e+000 0.00e+000]\n",
      " [0.00e+000 0.00e+000 6.40e+161 ... 6.40e+161 6.40e+161 6.40e+161]\n",
      " ...\n",
      " [0.00e+000 0.00e+000 6.40e+161 ...       nan       nan       nan]\n",
      " [0.00e+000 0.00e+000 6.40e+161 ...       nan       nan       nan]\n",
      " [0.00e+000 0.00e+000 6.40e+161 ...       nan       nan       inf]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb5d7e25c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 54.954628467559814 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 1000000000.0} is: \n",
      "[[6.4e+181 2.4e+037 0.0e+000 ... 0.0e+000 0.0e+000 0.0e+000]\n",
      " [2.4e+037      inf 0.0e+000 ... 0.0e+000 0.0e+000 0.0e+000]\n",
      " [0.0e+000 0.0e+000 6.4e+181 ... 6.4e+181 6.4e+181 6.4e+181]\n",
      " ...\n",
      " [0.0e+000 0.0e+000 6.4e+181 ...      nan      nan      nan]\n",
      " [0.0e+000 0.0e+000 6.4e+181 ...      nan      nan      nan]\n",
      " [0.0e+000 0.0e+000 6.4e+181 ...      nan      nan      inf]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb24fe26a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 55.056718587875366 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'size', 'h': 5.0, 'lmda': 10000000000.0} is: \n",
      "[[6.4e+201 2.4e+041 0.0e+000 ... 0.0e+000 0.0e+000 0.0e+000]\n",
      " [2.4e+041      inf 0.0e+000 ... 0.0e+000 0.0e+000 0.0e+000]\n",
      " [0.0e+000 0.0e+000 6.4e+201 ... 6.4e+201 6.4e+201 6.4e+201]\n",
      " ...\n",
      " [0.0e+000 0.0e+000 6.4e+201 ...      nan      nan      nan]\n",
      " [0.0e+000 0.0e+000 6.4e+201 ...      nan      nan      nan]\n",
      " [0.0e+000 0.0e+000 6.4e+201 ...      nan      nan      inf]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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6VVaOOgCm8D0puQCg7idb0CaUX1E5tsyi7Hk65Jfcw/joWYjOdBMqL21UKIDoBOoWUgoFEEbnobe3px4KINuNBSHoqL8u2MSbaHyMq1D40TXz1uoyCIpoVksyMG2b7WFIWKWWaYDSBCszAzNIYTxxlU2fgXuQeqpyhxCMEePosQCBJOELxet9PG5VS9DMCwAYBw5WXQ4LW+j4TlX4QoVCETPjprFIYg6ek4HxvtJZRCcwTGBKOougXgWQDZ1FZo2y3FTl3dteZyA2KHF793ZrtLPq3Vtm8CQyLr17h/TBGaVOC5Nu4ebjp4t377HZWIhxG8U/k3AvQZ6y+DnB8xE3AII9tSiJSVrugRKNtXj+wgMus7BkadxTxCSXAzUM9Bkbna77Y5giFsfInRNvBgD09D/nm541MEzRTPJ1oCOj0j/7stxyyFanJdXzEw2pAOdbu7PpBocPymotL8Msea8EmbI+DmtNGePfglPmFr9coyfpxvIfxL6ONRSiZaYnz4CGVVz5yi0shV6QaGHZkV8BbeIE64ukp8QsL5n1ovgAyRqlKFCj9Gd2NxKF8+8GDhy2xLLfSqwsd+NQaF+F7kNPO7779fpEi1N23+K1YWANAW/oJIpBWZd+accaNLy1Az0nXnDYGBTOvxvd7z5Ysfm02FAs7VgDAHi19y4A1szL5r0/5OeX3PI4AGDLs3eUzbPQviq0heaSWx7HlmfvQGHRan6se9vDKCxajVPz2ix5uq1zi+9Ziw/uvz1Uvn6MG52FQqGoLWOzZxED7tZ7mXYNQEhslnnm8UHfMthY2zw+WDrn8t/A5GB5iHnF6f+xo/F6ACXlH921r6SzsMvhckt0FqLc5eKBiPUh3ncU2BCCD3WI5ijfT2fRMKUNZv+A57elu/ahs+mGiuuT6S265t6OBrvO+KK+uhy65nwTgKWzmGbrLApnf9u6uIzOIuy08bSf7rH0JYLOgvmsaLDrmPXGzjxrLnB/RbfJOW0bC7bsWVxt6RmGRKAjv8IxBtYmtMDsP+6Y1xZ1DR35FXzJuPHZEY93baajYfEyRHmrWbLd0Xi9YzjhniEgs2eA+AxD3MiGIdKoYCjVB9uvBBbgp9wwRAYbhnQffMrxu5LZMxzDkDB0zboNgDUEYQrOzZ+uFYYhT1rpZt6KzTv/nF8XZRhiCH/+chy8YpZnGNJTZhhSLZlUcMYRZKjP3OSZBXF4uKo0IpmmexRjskam1hHJwioMOxqvB0waOPPAlrJrzU3jbzakglinhbavofvI/w2UqbPpBmjtU2sekSwLsyHjtmchmy6Nwyqwr7iB/7HEY0nT2XJjqftsNwZ8tqLO+ll7BtcF2xbYeNwSJkChfRXoyVP8e8/gOseUJFAKPtzZelPlBYU0lS5MusVKa1KpV62uubdj86fON3TPiRfQNff2mpuCd82/E7Q+D7prL3oG11Wez5xvgtquDElLC1qbZoReop6tnoXE0Q0jM0GG/OwsXGVkOsiQJBSACjIUTh53QOnEggzJpv0jlivLQ3n3VigUsZOtnoVAVLd6WlOTo3vWUX8d6OiINVYOOQYMAzNQYp6nzOODlvLO1j6zspJcMs+66KSh3mO74FZCsrQ9A8+js/Umbu7LxvppudUTFYcyY6cgy9MwXHn5Q3jlZ98pm8btSapcOgCgew+gZ+D5quSKSmHKSgBA92fPVJ3X6dezIAR01OmOnynTRAVcHLD8zP7j9mzHKN/GXVZYzJOnrA9zsyee6z/uUAyytHzfvo+0MQ4fgXH4CN93E0fd5vcEzzLQXXsBeC1BZenorr28LpPEHBiQr9itMdlWcIZdQOTSigOobdwQO74EP5RC3JDO1ptKD6otCzVty1R7PE0Ng5/jCkIWN8S+hzTjhnTNug3FA/ayb1sQtqZGdEJMTRrP7xjwx3aUTU2HHxVqGNDPWQDzw+3Wd1fMllpT+Px3MdrWBP31rRU/b50tN4K0toAO2ArOpkY0TwrvgzPbjQWlQJj2gproHUlw1aliTFKLdRynE+NjGKJQKGpOthuLCMOQJN3qEY2kHmSINNSDaITH/WBy9I6sR+/wS+gdfonLydMLvgvYdWkGGaKTJ/B76DM2os/YiN7hl6zAQvbx3pH1jnusJUTXSkGajI0gusY/fcUNODWjpfTdljcpTs1owbEFDSC6VrGPj57BdcCEFvQMrkPP4Dp0H3wKxcbw11c1DCGE7AAwAMAAUKSUfpEQ0gbg7wCcCWAHgGsppeHsV92EHYaYBqC5bsVn6XrVENcyc/aj+Vlg1ghxhsOvoWRyklyOp/fE40iR7ncf9D3niCMyst4b+7QGBK1gZStKRUgumZE8L/vZ0nqeSnDP9Azv270l7LVx9CyuoJReIEy/3AXgFUrpQgCv2N9rCyEg+bzrmObcxlaWJv9OtPjLCktQ2eI5MW1a8lZCVmVNQS532MqkqMWdfhUAM3hYB+APalCGB48JLFPzx63uZ1r7/Arb14TJt2lNLVDDADUMaU+hI7/Cs2JVXMnK7yNlRC/uUm/uCdUtmzINmjrtbLqhqhWr1UBHRvhalCSptg9FAfQSQiiApymlzwCYTindZ5/fD2B6lWWEkMLb9WeLmsotbqoEtgiKOXDxM8pKEq2xwZJN4k9RmzjBMWRhadm+2ygrLfSpbdJ9Rrnl73FCZs8EEOwXk6XT9h6ouUxutNbWxMsEqm8sLqOU7iGETAPQRwj5QDxJKaV2Q+KBELISwEoAaEBTlWIoFIpaU1VjQSndY28PEkJeBvAlAAcIITMopfsIITMASAMe2L2QZwDL3LsaOWSaYfaGj/tNT0dHPEZZab2VuWUmk2VoyNcoi2EODZWuNQ1gKHz4ulrA78FllMXgK3xDOGmuFtEoy+N82TCsFcf2EClpoyyHLFU+050tNwKQDN0DqLixIIQ0A9AopQP2fgeA7wP4ZwA3Alhjb/+p0jKqooazIeKDxJzpSr2F1xgmR5APSdHfBtPeS32OpkDQ8n4uXwKzIX5rTxzOglxpktb39A6/VNVsCBC9kWBU07OYDuBlYr3VcwD+llLaTQj5TwAbCSG3APgUQO1/ZYVCUXMqbiwopZ8A+G3J8c8AlPfrH4FQUdQBh7t8WxDnNi7siO2OslN4K5eLmB4mvSyidtIkXXZn601lV4imVRduhz8y4pBNlkcrJodeG5LRyWuFQpE1sr2QLKRJK9F1IEEjFZLLOcb6UXyDxoU+pY0vLRedDoswncQy7RroU6zpSB4xK5cDLRYT8+wlQz/3bJgffgLAq29xW5rGsbI3yO+E1tDgCUrErz3xApZ2rEH9L7by70A89RbUqwCA0auWYGB2HlPX/5r7DI1Kn7nJ46+jYebs0Ndnu7EIOYSghoG+GkVs8itPfEjS+KMFhhoAAGpy2dzu9x1u/lOC7trnlYOFp7RfFEkoNhnmyKgz7IEQV3SZfi0apk6FwcIRJFxvDf9vJxo/bkRxROIEOiQsTABriEk+j3ojfCOc7cYiAsyxK6eWsyHGxlKYQ8Ow3PWzP25CsyGiVl70/SB7Q1PBuzdL21fcgGW55XyRVho+OcRoaGxKkjkeds86xNFodC34FjZ//Ijv+b7iBh5eICjMAOt1iOEQa0n3gSf5fqUzMLLZMkJI6LUh46axcHvKqqmC0+X0No0/msMewZaFmvafSuhZsHPchJo5v7HvIU3nN50Tb4Zpe5pmcjL7D0/jEMPvSCUeuEQcZTMnR/xiE/rUqSWbmgTsPkQKM74B0tiA4s49FZfNehbUHsaQfB4TGj43TpzfwGedgATm/r50QPUsANWzcDCr/MqDTPcs9j3B99PqWajZEIVCEYrM9yzC4lmFl6CdRRpvZZmCjZr+ijc/O4s0hyHlbEVqoUCkO/eGkidpG5SxYmeR7cYigqcsj9nwOB+GOAImhRiGcOO2DA1DHLFfExiGBE2d9pmbUhmGhJk6dcfJrQS/IENhr89s3BA3YhwRout8MQ2LC+KODxIUkYzBHlJtQgu6Dz3N44EYnx0BqbMc6ohllYtd0dlyo8fuXgy7J4vr4YbJqk9pg3l80PPnYXYd1VCY/nWuXe+afycAYPMnj/mmZ3E8WGwPc8ok9LwtD8nd2XoTqOQPVG3Mj7CweB6y2B+FRatBhSXl1cb7CBOHpBJYXBCROGKEyBj3sU7FVYmh4oOU6aGIcUDErSzPoNgVMkcoYlwJ4mNM417lyOTgTmrijn1yqiQTcwtfDnc8D3J8wDfoj3nyVKpjG3fcD7F3QHftjVUhGSYOSSWkERMkDErBqVAoQjG2ehYyp7hhFJkSP4klPwq2jUKx6PFT4ckzaMgmRNLmQYDEYERCECBqGCWvVabXJR7TIVgBb5xz/rKeSCTEHpDLPqVr1m0wj1tvNt4rsl0Hiu74QE1ryCH0lkh9va8NgBgUid131GGAO+iPQ1cEQD9rrscUuqP+OmhnzwPdsds6J/yGXbNuAx0ZgXG0H0DwcnkP9v1cdekDyB23o7x9vAMwKbTGBpiL5lrp3toG4+LzAABGvfUsNuw5juKkJtQd6Iexay/0mda0rnn4SGj90ZWXPwRSNJH7ZB8/RgcGQVpbgKmTrQN7LXcyg5cvxC/+4VvR7s/F2Goswnr79lyXTLc4qXF5tYh6lTDKNYWc0y1o0dhqLCqIlWBd5+1Z8FkAux3pMzdZC6+KlS+sEsfxpKEeZHjY0U65NdrcZ+bQkMcJDVPoWuH7nPJWG0dDpohl0MkTQOxpaKZj8Yv2Vmhf5egdFNpX+XreYvXB9iuB6NbvyPQQnU03hGqgl3asQcOBBvQNPO/4XenkCeh+98GqHdj85N+/i6UdawAAr75jLTnomnkret/4Hk+z5JbHAQBbnr2jbF6F9lXAiROhyj22oAFbnr2DK3UBoGffEygsWo1Ts1pteR4AACy+Z23Iu/FnTM6GiGbMflOkYWdD2JScO2AMX1AEOMoqF1hGpvQTH8QwnqwcjYXghYuVG8dsSLnGolrc3sQZSQbkKUeY3yNtZJ6wHOueYmTcz4ZYgZAN5754zJO+zJs4TLwNsaxyYrlNzkNcUzZNjeJ7kKYIYagiZ64Bch/N2SCr8UcE0ogJEobs15xCocgEY7NnISoCqg0mJAQN8oT0c+cZUIasay92ycXhhl8aMW2tAiV1H3wqUno2vGKzESRfBzoyKtUXsJmStHAHB3I7s0kjKFBU0gggFIYx2lhEnDqVwBsF+zqpt+sIU6dufxqF9lWWgZcwlciUp6x8FqhINt3IPFxZjQZ1NGJ+jU4YgvxQFs6/Gzhw2BLLNlBjZbkbh0L7KodFaqF9le/UKa8PlAI0BVmzemR3GVrJTLJlJtpLO9ag4a0d6DnxgkPBWTj/boeCsxodBldw2jFJu2beis17f8jPR1Fwhm3QltzyuEfB2b3tYUvBOc/yjPZqt3Vu8T1r8cH9t4e8GzljU8EZYj2/Q8EpUWJ6Ym4AofL2Uy5K1zO47TZgu+K37SwcsSnYWhP3HDuTiXltsvcrtbOIotwUY3o4bBqEtThuhaHfLFKfucmxLqUSguws+oobfBXWADx+SLhLwQrkcjcGXMbG6wHBJQCTu9ysjfu8rA7DKrWjKq/HvYJTXAfitzYkCP6wR1wb4ofsYegrbgi9NsQ9G1J2bUgVBllRHiRWjmxtiFtuhtbcLF0bIuZXKWGmSfUF88qeo5Jwg5XIJWsoAPmsRZDc7vP65MmR5WHUapYLUApOhUIRkkwOQ/y8ZUfxos27vdQs2Siwbqjo1DbiMES28lTUV7BusNbU5DH3BpzDEGb2bA4N8UhhcQ9DOltvAigNfOOw7rM+tU1q7u0ehoCa0JqaPObepo9RltbcnIi5t/Hxdsc1JFdXMvc+ccIxDMnN+JyvuTfrTQVRmHQLiufNQ67/JADA/M2nVZt7y+pQNgyJw9x73A9DwlBu7Fqx2TisLqOlVTcdxxx5J0Bh+tdLq0cNAz2D63gMS2ZH0X3wqfB/yBRmCQqLVgNHjllfTIruz57x/EmZYxg2PKwlXbNu4y8TWUOx7Mv3o+8/7nEc6z72LK669IHKrYtDctVXHsTIhDo0vfmbyIphkY7fuQ/6AavOjemT0NR2RmjnN2OzZyFaa5ax4HRHKRMVXFyJrXNiAAAgAElEQVS5ZTcqRNcdU6e0WIxswQl4rUXFBWAy5zQsjTvyGsnlLCVoDSw4ZZSbEYgydcp6c26SsuAMmjoVl6hXq0OpFTLz81pZm47/nkUMU6c1WXUqkOlVpzLsoYVadRodtep0jLMst7yMGTWpaiFZ58SbuWdqabwS1H4hWdf8O0uOa0aL8aweJVqiC8muuvQB1O2wZieC9ANdM2+t+UIyd7QuN5f80aN47e/+1HM8iYVkF13/GE60azjj73dg866/AFDZQrLf/f0f4Of/8m2ePj8r/DBEzYYoFIpQZEtnIWr8XbA3bdgZkUCjrAq9JfsaZbkd49bYM3SleouOxutLykyh5yXacSRF1HvIQp2yFaFaUxPoyAh6XL2VWiFdMR2xXD+HvWNTZxHCMjNs0KGkoWb6jW4oRDmtMU16soxFzJKO63QjWz0LAYd5N+BoSNwtJIsSLk4pdU68GebAALTWVqkD1ErfzExfUTj/bgAA3bUPZPYM0F2WkomVVYsZCz+YZSUbg4uw9Q/utMwik0621mkY730IIFm5RTou+j4AoPeN76Hjou87xvuAU09UKV/4X4/j1z8qrzO47OpH8IuXgxWBl11txUxtfXNn4h6zynkwj8rY7VlUCiEeE2N6atixjQuen73Yip4aBjlwOPZyosBmL4hstaItpzst25dekwL67kPSfUYc9TthR7Bn75b3DgemEdOJ9ZkYh2vjVTwI1QdVKBShyHZjESEiGUblMT5ij7khxBkx+4+DFkf5Nu6ywmKePGV9hJgn/Fz/cYeNBkvL9+37SBvjyFEYR47yfTdx1G3Dfvm0rqOcPfsBgFvDlktH9+x3xIVJCnNgIJXYItluLMLqU6hZNtScQgEAPb/+ftoijGmyrbMI2bMguu51hFLDwMgd9dc5jKjK+XGoFV2zbuMRwpjll9t4ism5TL+WKza5Z7D66wBq8muSlh+wlZpvW4pV0bCt9+SLfIqS7yegiO+ceDNfcNczuA6dE2/m53r6n8Mlyx/DhM1b+XkgnhisYbhk+WPon69h9hPvVOXtq/PCe9Hzqz/j3/NzZ42TwMghF3xRwwDcTk5rGBjZYTXIGjRZAKQaImrg/VzZ87AEus7T8zUgwy9V7QK/WtwzHo5zrsYjiT+le7bF/f21DXd6rknKuS4v+yG59++wiA0FAIx8uid0YORsNxYRehYepyO17lmwBqNW5QQg9iz83jRMTmoYpelVO21H/XWp+6P061kASK9nITQQZXsWdrqk6tDRs6hiBquankW2dRYKhSIzjJvGwr002TM8iAtCQPJ18nJq7NNAxJwyCSRfZ8lCNHnUNSYn0WBOmWS5w7PT8utS5NjZzSD5PEje665QPE7y+UTq1h1PhTQ18g8A7L8Eju9WomTqcP/FwG/91/et8nW94uHPwFmtju+fnxjOrgTI+jAkJNSk6HXPhtRwGOIwAEtpGNLz9v0l03cf1/tMTnHpNRv705HRVF32A8CbL9zpO/4WhwN0ZCSR+qUnTjq+d+97AkBpOLL9f9+Jzu/d7LoomTrc/k1LZ9F54uaqhj7/scm5anbL28OhdRbZ7llEmDp1w5zrlnOyWwnMrV6hfRUK7atA6vJ8G3dZQfQOv4Te4ZegNTVBa2ryeJNicoqwtOw6dh9p0XvyRfSefBFds27jehU+cyOkSaJue/qfcyz3Fo+L+yxdYdFqaE1NNZfLLYs+aRL0SZOCE8dMtnsWUYyyXNTaKIutQ1mmX4vuQ08nNoUmlcn2EyFzJtN96GlHnBHRWQ0dHubXpDF1KiLO7sjWWiRl8BZ2vQVLl8aMkhkycHLcZLtnoVAoMoNqLBQKRSiyPQypApKrs4IP2ds48wXAx/kkV2fpLOzjcZYVWqb6ei6T2/NzoX2Vw9krS8v209RXiLiXzruHIqx+a02Qaz0xHeCsz6RIWk/CyHZjQSn6jBCep6jp8eTN/rRx/3np6IjHsa/x2ZFYywiD6ACXyzI0xB0CA7bBkGlgmXYNtOZmK6ntI5Pfg4/PzCTomnUbigfs5eiCGTotjvLFb5YPUhrKMVIQLKyAH46yqelooKhhQD9nAcwPrbgkXIeSVOiH8+/G6JRm6K9vrfiZ7my5EaS1hftuJU2NaJ4U3gdnthuLCArORN26pzzlCPhPfVLDAAibzjWd6R0J078Hc3CoJAfzsm4Y9r5pf4+vvCCnxo6yKXVOUVITOHy0dCxpp1GHjiJ/4hSKVUyb0pERYHDIYQGqG+E9fimdhUKhCMW4aSzSXhSlyD6FaX9SXQZp+lnVkrMO9hUhbQHigGgkddNlRfZJQxk5ngj8hxFCniOEHCSEvCscayOE9BFCPrK3k+3jhBDyl4SQjwkhbxNCLqxWwI7660J59GYBaBQKP+jEluoySPPtngHv8WEUnM8D+CGAvxGO3QXgFUrpGkLIXfb31QC6ACy0PxcB+JG9rYyQSiRqGNBanQtkSF3emjq1t3EhmnsDgHl8ENqEFpjHLQ1zUlOnok+NztabLNka6qVTpw6v53banoHn0dl6E48OlsaMjmhGHTR1GkcIiKMXtJU931fcEHnqlO49ULVcYeg+8GSp7CkrK8pDFi+VEBLf2hBK6c8BuJ+krwJYZ++vA/AHwvG/oRavA5hECJkRVphqoCedi4CUD0773FjxwXn4CPfPwT2ACcRRtxPfD/ZbSXftBSBZxSxJR3ftVT44QzCdUsqise4HMN3enwVgl5But31MoVCMcaq2s6CUUkJI5AEVIWQlgJUA0IDqLdLcDntrbcGpTbSC86Q1DBFhUcl5oGXx3MQJjmEIj9xu76c5DBHRp7ZJ9xlxWHD2brkvMA2ZPROA93nyS6clNAwRcQ+5Eyu3wusOsOGFvT1oH98DYLaQ7gz7mAdK6TOU0i9SSr9YBx8tdQS3egqForaECl9ICDkTwL9QSs+3vz8C4DNBwdlGKf02IeS/ALgVwO/BUmz+JaX0S0H5y8IXuhHDGWrNTXzMxsITusMUOgIj26bistB8zLEJmT0D3e8+yMMSGu99yFtwsaxyIfRkazNE3wyy8IJumKz6uWeD7tqHnv7nHL4hWXDoahCVeFdd+gAA4Cf//l3f9CycIAsxeOzsZrz5gtd5LWDdrznoNSGvNvRgWFhYQVkIwsuufgStb+7k36sNOxgmHGIlyHxqxBGqUEas4QsJIesBLAUwlRCyG8C9ANYA2EgIuQXApwCYM4d/hdVQfAzgBID/EVn68sIAAMzBQX6I7YvHPGj+PQ92HfnwE+u7vZXlWbYMAFSi7OJrHwCQQ3IXZstyyz3m6uaHn3DT4qByI3PkGN+t2xGiG2071WXbyR/k0dF4vddJMuz7TdGUvLnPmuFnQYKYy352rhhjmMlprx8LTlQB5vadwYlSILCxoJT6mUZ6ugLU6qZ8o1qhFApF9sj2QjI/xKFTCB+YRGJMU/JfaV3XO7LeEzzIk2eExUPcVb/wlhWDAHXUX1dS5EnexCxwkRUMiDrsDByhCCpBMPDx2DNc9H0emJiFEWQ9CHdPwm0P0TXrNuteJPUkhi5g9x11GMCGjGxII4usLvYkGJcsfwyT/m0HegbXOTya8eGVXbdR61SMcHbJ8scAlOJ7dM27A5u3P87Pn/udtQCA9x66vWyeXbNuC+1j89zvrMV7D92OzgvvLcn0qz9D54X3on+RpYB/fb0lz9wf/wCf/s9vh8rXD2X2GCOyBzWLdH/2TNoiKMYgoRSctSa0glO/trQGhPk30HRrn22F9AxmlCRbxu53jilT3WWVWwov85cg9gj83lxiT0FUxjJdhqjTiEPBKbOQjAu/4EWJuhAoQ5jfI21kQZlr9SKKVcGZSURHKGy/jHOUssMQ4TpP996dZ4ADFrGhYN1uP8tDcRjia51oGpacbOsnZ0TKNRTlhiFuZMMQWhxNdRgigw1DNu/5K0ddVzsMcZcBxDMMMV3WyH4kPQwZmz0LcVzsE9M0dM/CHsMSXbf0FvZSd1oseuOXEuLwxhUG0dSaaERqn+9Ib/csSC4HahjoMzY6vIDF0bOICpv5YDE+SD7v+ydlXqbcRK23SpHNgojnTGE2JCu9HTcydwtBz02lROlZKJ2FQqEIxdhqLCrtBVEzcO6ftdy9I+srbsVl0bWIRvjHL98k3ySApVuJgjgb0nvyxbJdf9mQL0l6Btf5ju97Btc5fo/MouveTwYYmzqLGsAC8VTjcUs2tqfCNKUY7McvjZi2VgT5onQjG4bQkZHA+00Dt3JQbDg6W25MXb5QpBzd3o8xp7MIuzBMHNezP574R+Xz7eL9u/QeQfm66Wy9iUf4Yp6iPfkRwvUujvABbv2IWybxfAW6ExHRLL1r5q0AgM17f2jdw8SbQe1xvcODtVg39j6pyzsUhuV+GzEtu++oCkVR/wNqlvRXNnrbZO+COE2H3j4F5pFjHtm01lZgdBSmHaUtap0Wzr8b3e8+iK65t/M6Y+WTuhz09qkAgOLe/cjNsRZf05zdS+gfBGmoBx0cgtF/HPoEyzGPOXRSWoey565r/p2AYcK0FdGAFWWO1NeDtFje3KntfoCcNRfd7zzgySOKziKzjYXvVCm8Fbcstxxac5Oje8xd3bumVP3yCAubxmT+DsyRUWj5OpjMe7ZdVpJKSKbNJ7rmWS3Z2XQDqGHyP6ao+e+ov457GDNPWabqSStPuZzCTIdslkNmEh+VK5atwU/77iqbhjWksnU+7nSAteo46SlY9uwFrYwNg1JwKhSK2Bk/jUXC47yeEy/wlj2OFj4OZHIEySbeR5qw6ORsvxYE9SqAUsDrcr0Kdj4ozXhjXCg4iUa8GmMevCbmFZDu/GpVTgSC1hKI5/32M08GgiLJSKMOqZFOXYyLngU1qfdtxHQdcYcIsPPrbLrBGjsSjW/TCkdAdB1E16V+IzubbnA4B2Jp2T6/j5TpnHgz11uwrYOE6pbpIoJiwBbaV1kxblOY1iS6loo3+3HRWEjnzGvcs+Ddd2rybVpvP2oYoIbhOwxx9ybYd3bNmBiGJFS3UYchafUs0uhdjIvGQqFQ1B7VWCgUilBkW8FJKRDCKpcWvZGgmYGO1FCnCvS2ydLvbJuGl2z9rLllz4v2CWLaoOuyhLves0IadUi/sCjxMoGsNxZlfGeKkLq8w3oSKP1p4/7zGp8dQWfTDXycX6tygigsWs0D4jALRDdMzmX6tdAXzAMAGB9v5+f8rkuKy65+hPvMdK/nEFePdrbcCPPEiZrL4zbEEpWc3YeexuJ71uLMpz7g34FSfdaaxfesBbmwH3NX7gOO9lecz+VdD+Nnm0sOgeec17Ik7LXjZhgiNhQKhSJ+xk1jcboRxTV8n7ER3dserpk7+UqRuetnlFs9mhRuw6sP7i/vuKaWfHD/7Xj/6vuqzkfsVQDAzq2D8cU6VSgUCiDrjUXYuXVZOqbvCKn3CI2mO+0SxHLiLisAZiNBcnXS8H4y+wmWll2XNmF6ED2D6xKpWz/bCvG4u7eRdB12H3oaWr4OWj753y7jjUW4FbG0WETXXGcXUZ9i+XnU26fEKhLLb2nHGiztWAN9Shvfxl1WWLSz50E7ex6WdqzxnHMfY2nZPruPtLlk+WPcjyXbisRRt3OffiQwzeJ71obKa/E9a7H4nrXQFp5ZpVTRKV50DooXnZN4ueNmNmTzp84f2TxmaYzNI/FGjWL5Nby1w/reP4CGt3bA7B8oc1VtoTt2WzIdaPCcY3K607J9dk3aq0Qm/dsO6T4jjt/x01X+OhLGmZsOAPcH53XmJiuSG92zv1qxIlP39o7EywQy5M/iOD3CndUC4A5eHMfYqfp6HihH9CXgcI4S4Ik7N+NzAAA6dELqOYr5T+iaeSuMo9aD2nvyRSzTroHW0MC7+MyBrltO8ytfQH7PUeDkqUherDtbbwJQmt3pWvAt0MNHgFnTLXl37kXPwPPSqVO385ZyU6dafT3M4WGHI2AAOLzqEkzYYfnmaNg/5AikEwYxHEJh2p+A1NeDTmzB0QvaMPF9q0Fl0cyjTp0Wr7Rm+cKsHhWZ+/Qjnoaia843sevauXj30dtx1WWWU5jctl2Rp06ZM+W566ze2ac3WrJduPJx/OoZZxzU5a+txIZLysdsufiPH8PE9/vR8+vv44pla/j9ilOnhj11uvCNHJ5c4vVWtvDBx/HR3Xdg4ab78dE19zjOuadO557fik/fHQjlYzAzjYWf8xv3w8zOicgco8gaGXf+lcDjiQQ0RrV2ItPZehNMFltVkIXkcnzRFTUMfk5rtjwnmUN20OKYnQJVQtes20qxYG29E8nVWR617HsgGrFc4ZlGzWXj3s1cnswAqy71cxbA/NBqbEUvYknUWeHz38VoWxP017dyT1pRy+1suRGktQV0wI7v29SIX4z+CwaP7g7VWGRbZ6FQKDLDuGksxCA8CoWMrjnfTFuEMU22FZxhh0jUhNbm1JZrra0wBwb4Ni601lb09D+Hwvl3W0Xv2gcyewborn0AEGtZ5RAtVrtm3WbJMnkCut990JGOOZV1p92856+sCGKTrchVxnsf1lhiL6Iup+MiSzfS+8b3eKQwEamPi4jsurb8Oo7e4Zdw2dWPlDUWY1x2tTWz0vrmzqrlCoPobLewaHWZlP7IpqgJIaGNsrLdWBASqsdAdB3d+55wHhwddW7jws6P/QE7m25A97sPpupAho6MOGQScR9jadk+Ox+k46k1YuPgbigAxPI7vvtosAVmmIZCTBfkJKcWkJPprOkZF8MQalI+i8BgMwRxL5Zi+XXkV6AjvwLm8DDfprUwyzjaD+NovzTWSEd+hWOWiKVl++w+0qaj/jr+YpC9IOKoWzbrUQ7W6Ac1/szDmFHFoq5KMfYfgLH/QOLljovGQqFQ1J7MTp268Y0jwqYAXVOBoQMj2+e0vGUCzeOBnDpVMgoTyioXu0K0MWCIb0lZXA+WhtmLsOGA1tAAc2QUfcUNjqnhOAIji9HP2fi33CIzFseD6Q1IUyPoiZNS93cd9ddJXc0lFYTYPSxw202Yxwf592rjfYSJQ1IJsl5NrVwfRokbkm2dhRtJwCG+X8buQeZUlf8g9nU9JzY4/FQs067x5hlgWwHBFygzmhIjdvUOl4ymOptuAJk9EwAcaRg9J17AMu0aS07TcDxAopwVIbwg3I3EZVc/gpb3DlvJbOtEphhzNw6FRasd1xcWrZZHYYPT/wa776irYFlDwBoAWSAg2fqOxfesxZmbDqD70NOlSHQAV2ZWGrRHbCiYmThbmdp5wT3oeatkCnrOy/cBQODK0cKi1aWAVQGc8/J9eP/q+3B5V6kef7Z5NS7vehgHfidvyfN9S54nP1iKry9+NVS+fozNngU1PaH03KEHg8IXMtjD47Z+XKZd4w0pGBA2UNazEPUFfm9Xd89BvN8+Y6PHOC3OnkXcLMstly7sqybcYpyE+T3SRqazqVXUs/EbkYz1LMQGju2Xa/Qkbvq5C3xK+bWe7p9wLqiMQtvXPA2Flb8p9fwtluX70FLKZRRd9lcz8xKloehsudETaDgQ1pC7P0DVYQeY+33xe2Qkv0dWwiEwmAd28ZMFxmbPAoiksyjbs4hRZyEjjM7CIU8COouoyHQWnqlqm6zoLGTDkbh1FrUiqzqLsdWzUCgUqXFaNBbUpNZipIwyFk3V47CorCXuIYuiesbWbAhDHP+HiDwmjVjmut4d5HiZdo1/XNMoogpdcr9ur6zbzpaWV1punEQJWEwNI1V5y0US6z70tNONQUZJK5ZpEGOrZ2HrV/SpU/khfVq7Yyu9rFiUxhZheenT2rm3KNFzlD6tXVqWH25vXQCgn7OAf/w8UsnG80s71vCyRRniYNmXS1N6l/zRo7jkjx4tm170YHXJ8scw7y+8nqwY+jkLrHqz647Vb1IwD1Z+58Tfo1rCeN6qBOPL53k+WSCTPQuZMxnRyYwYo8M49Jlj67gmtxxavo4rBJfp1/JpVjaVx/Kq/8Vxe7sVAGBK8pSVAZRmGDZ/utYzFcv8HwBA/W/kbbNolMXT/mIrDHu+Pe6YJH3/UXKI8trf/aklQ+P1gEmlvZ8Jm7c6thN/1ojO790s7WmYH25PVXvPnNMUnvIqOs986gOHgrNawnjeqoTcG+/XJN9qGVs9C4VCkRqZ7FlIIYLeIaQFJ9F1x/jP+m4ARKvYglNmeOWwW7CndrNkwdk181Zs3vvDsmm0pibQYlFZcEaka8G3sPnjR04LC85x27PoaLwegFOpGMeMSPexZ7lPCMCy2kyDKy9/CF0LvmV9BHlkBDUUgL103UxWsfaF//U4Or/wPXR+QbIk3QXzH1JLmM9LP2Q6is0f10Zv4Sl73Rosf20lOpbcV1U+Cx983PH985/PhQ5fmC2jLLcRlIDD/DmE74WghWRcKy6WVYVvTffbnvvIdOXHfGRSw4DWaHnWNoeGrOOQBHkWjc6YvBUYhzFkPSORrlm3wTxuOfDhPj6pWeqVAdzkXmtqAhWWjpP6+pKPTxdaczPPj9131JCT4hQzNQynTLCCFLtjj5JcHbSFZ4J+useKlyo877kZnwMdGeHLzKPUKetRAMBVlz6A3HHr3syPdwAmhdbYAHOR7WznrW0wLraUlEa99X5u2HMcxUlNqDvQD2PXXugzLYfM5uEj0jqUPXdXXv4QSNFE7pN9pXoZGARpbQGm2oGk9x4EAAxevhC/+AevjiWKUVa2GgsBX4tNhHPY2zX3dhR37UZu9hko7toNN5VaQXbNvd0RdoB9ZzMhrKwkrSyvutTy0/CTf/9upLRXXfoAv0Zck5JF3PWeFcQ6TIpL/9Cavfr3v//TqvMaPxacEdzqdc1zul2np6w3nugZKhaR7HzZFCs9NWxtR0b4uaTJHT+F3PFToYIM5fpP8rcgu2YsBBmKo26Zu/5yRA0yxOoySRo+G0HDZ/E+12HIdmOhUCgyQ7ZnQ0iocAYA0TwRq5htgp9tRKWwfF/ttXwZLMstx6u9T6ZqGWh+vMOS6R1vwJlXe+9CR+P16D1pnTN/86njOnZN2j44X9twp3SfEYetCQsAVI6wkdJZuo5Hr69KpkrI/TJ558pA1huLkBCNhDJFHrcEzfKI5/32FZWRRh2mpGcMHIYQQp4jhBwkhLwrHLuPELKHEPKW/fk94dz/IYR8TAjZRgjprJXgItSkKEz7E6fcdTnHNi5Yfl0zb0XXzFtB6nJ8G3dZYdEaG6A1NqBr5q2ec10zb3VMH7O0bJ/dR9p0zbuD653c+icgnt/xwpWPB6bpvOCewDQsXecF9/C6TBLS3AxiR5hLkjC/wPMAfgjgb1zH11JKHYsKCCHnAlgO4DwAMwH8hBByNqW0MvtfSoEwIxHTQPfBpxyH9PapKO7ew7dxobdb6zSY7ULXnG9i884/5wFs4iwrLGyKTuZC321jwafz7H12TdrDkM3bH5fuM1i9V4M79qgM0ZAqTDoW7yRJhi6el3iZQIieBaX05wDCDhi/CmADpXSYUrodwMcAvlSFfAqFIiNUMxtyKyHkbXuYYluAYBaAXUKa3faxygip4CS5nMe/QnHvfsc2Ltz5ieXEXVZo3tpmfXxw+MsQ05a5JmukVrdBpFCHTa+8i6ZX3g1OGDOVNhY/AnAWgAsA7APgv2bZB0LISkLILwkhvxyFzxx6SEUOLRY9Cs7cnFmObVyw/Jbc8jiW3PI4cnNm8W3cZYXFuPg8GBefhyW3eLvvS2553KGzYGnZPruPtDn3O2tx7nfW8n03SdUtW8MRJt05L9/H6zJJ+v/bb6H/v/1W4uVW1FhQSg9QSg1KqQngxygNNfYAmC0kPcM+JsvjGUrpFymlX6xDfSViOCgsjj9+g2J8sfy1lWmLMKapSMVMCJlBKWUG6VcDYH2ifwbwt4SQx2EpOBcCeLNqKYMFgjmh0XGI5nTHNi5YfluetZRlhbO/jS3P3oHC2d+OtZwosPUGTCYR9zGWlu2z88v+Ol0F53sP3S7dZ8TxO2645JnANEGrQt3plv4oeevX0caQ9kcxE9hYEELWA1gKYCohZDeAewEsJYRcAIAC2AFgFQBQSrcSQjYCeA9AEcA3Kp4JUSgUmSKwsaCUyqLm+i5bpJQ+CMAbzrvG9L55r/NA/6BzGxfu/GpVTgQa9hyvKG2U61InxfotRxp1OOmjk4mXCYyXtSGUouss5wo80lDv2MaFOz+xnLjLCktxUhOKk5oipw17TRZIq26DSKMOT02rx6lpyddHts29w64N0XRs/o3T6SwdHHJs48KdX63KiULdgf6K0ka5Lm3SrN9ypFGHzdvT6WVlpmfh8VHB4nuahtQhTUfj9dwbFo/WlVvOP0a/1T1k26iIC8PE8Hbu/MRyKi1LpDDplrLet2TnjF17Ydgu62SIdhZi2nLXZI046rYWpFGHZNt2kG3bgxPGTGZ6Fm5z4z5jIzryK0qeuV3n2SpKwA73tni+wwFOoe1rMI71Q5/QAuNY9NZfzEv0gKVPaHGkY9/ZtpKyRMp5sfI7z7ws+SHaWYhpg67LEu56zwqp1OGCOcmXiQz1LBQKRbbJdGMRNv4ELRZBdjnNgc2hk45tXLD8WHg8c+gk38ZdVmiZDh+BefiINFyf+xhLy/azEuava9Zt3PGwzAFxHHV78R8HGxoXFq0OlVdh0WrLE/fheGO6hIHsOgCy60Di5WZmGCKFhGzLdN3jdo2Ojji2cUFHR9CRX1FqyCiFceRo4j4GClNWwhywHOtyJ78nTqCj8XoQ3TZIGxkBNQws066BPtlavsOcwXbkV1jXnTiRqNwihUWrYW7faclq12dny40wT55ER96esdd1wDB8I8pFYeL75YeInU03wBwZ5ZHgtXwdP0cNE8aXz+MBgLi7/gAHz3Fx5RUPYWhGPSb+41swhytzMVho+xrI5EmgRy1HUaS1FQ3Tzwjt3TvTPYsoRPUUrTj96Pl18svJM0+Ed1ymGwuiEXTUXwuenpsAAAjXSURBVBcYZZwQklr8DsXYISguiKI8mW4sFApFdsh0YxE2ghilNHDKUaH4aZ9amVwNmQ0y5IZHVtd06FPaYBw6BADQp0+DceAg34rpGe7I5iKF6V8HAJz67Tl4tfcuHkOj7idboLe3Axrh+ert7eg+8KSvjF3z78TmT5wa98LnSwFoTs1o4V7B/WD2JKNXLUHD/9uJ7gNPojDjG+je9wQ/X20goKu+8iB+8m9WOMCLrrfkfeNFr0dtxiXLH8NrG+7k8Tz2Xwxs/6Y8feH8u4FDR60vmm2Ba9Ky9RYn7pij7nNn/mPJ23v3Ow9UVdbcdWtCeQyPypVXPOQ59spPvxN7OUC0IEPZng3xgTQ3AofsfdthKinnOLVMg0iaraXtA7Pzjm2bcM6d1reY+rzn2Ghbae0AyzsMA7PzaPzYKq/svVXAyISSlv9Ee3Dnsn++5thedNH7vmlHpzQjfyL5wDsMcqH/jAe5sB+jP49vLcclZ38SW14iQzOyuQ4mW41FmVinjL7iBocpdnHnHsdWSpk1Juy6qesPAs8CU9f/2hJBkmfZMgAeJVxEf30r35/6n5p0vW5H/XUOK0tLnl+jaE/PBZUblaY3f8P3z/j7HdZOmUBcs594B3jI3gI49teN6DxxszT8gv76VhRD2sfUgrkrLTcrhZXOiOvsnHk8vnUVR26dCWyJLTvOxH98K/5MYyBbw5CgwMh2TNOogZHZbIr4h2Tz+Hz+nhBnoF2fegk7BGB2EA77AEJA8nmrnJERaK2tAADj6FGQeuttwgMNEwJQCpLLWUZnQuBkksuhd2R9KDmiUli0GjhsDSO4HYdhgOTzPBQkqyd90iQr2LCN1tQE4+hRab765Mk8P3bf3Z8FO6MRYetzLJlMEF0DNUqR3+kXFgG/fM9xjZavQ/Gic1D39g5rfYnwbOkL54OcHIax3zJwqrROL/3DR3k4wdwvP7R+t+Zm7oW76ZV3uRs85rhm0kcncWpaPZq3D1rrPGwTbrLrAIxjxzxlyIbQF//xY9CHKSa8VTJIpEePgUyehJE5bQCA/IdW47l7+Xy885h3aDZ+Yp0qFIrMkK2ehYCo0ARQPoq6fi30xQvQvbWkGOqafyeKO3Yid+YcFHfs9JRZcRR1W4nJnNxO++keHLxiFqb91B4O2WUlGY38ysut+z62oMHjRm/JLY87jrG0r/zsO7jy8odwbIGlD2n769cApBdFnTnpfe+h23Hud9Z6XOvJlMdR+fqW6/HkEm+IR5FzXr4vlGs95th35p/n8crPaqN89IOZrb/+t/5K6bCMHwVnhFinYkMBAGDdU6GbGgt2fuwP2DX3dmx59g50zQ0XI7MWkKJTJhH3MZaW7Y8VH5xx/I5BDQUQ3QfnVY9WN6NSCfpwRsMXpglb4xCEaMPPMI8cdWzjguXHFxIdOcq3cZcVltwn+5D7ZJ90EZT7GEvL9tl9pE3nhfei88J7+b6bpOr28q6HQ6e7vOthXpdJMuGt/Q49RVJkurGIsupUoVDUlkw3FgqFIjtkW2cREmpSFCbd4jD5ZlOQtMLlvL5l2fl1b7O6qx35FejZ9nBpSXUK0AHLdqDHtvIU6d72MDpbbkTP4DpHWrbfI1iGpknPr/5Mus+I+3f042ebww3JWLrOlhtrKY4UtsQ8acZNz4K0Ot2uMbsFto2tHDs/NtYn9fV8G3dZoWVqbQFpbfHVWbCGQkzL9seKziKOul34YHCYxqg6C/dzlwRk8iSQyZMSLzfbPQtKgTATItTE5l1/4ThEWpqBoSG+jQvS0gwAODXPMnppOD6IU/Pa0MAsA2MsKzRTLcc2p2a1ek4xOd1p2T67pu6j2pguh6V/0QTpPoPVezV8dLd3tsjNgd8JZ5LP0p25e3JAyvhhBldJk+2eRYSp064F36qtLIoxz8JN96ctwpgm2z2LCNDjA87vtut4GrMLeZbfq932mLXpBrzavdphipw4e61Vsa9KVlEyOd1p2T67Jm2dxevr75TuM+L4HT+65p7ANB98P5y9DEtXeCL5YMvMhDtpst2zUCgUmSHbjUVYU3RqovvgU45D5Ky5jm1csPwW37MWi+9ZC3LWXL6Nu6ywDF6+EIOXL+S+HETcx1hats/uI23m/vgHmPvjH/B9N0nV7ZMfLA2d7skPlvK6TJLdy+dj9/L5iZeb2bUhbvrMTZZHapOCaIQbYomrMkXjLHGNAxsiiMGCGGzK073icJl2jWOlJysr6spEcWpNnJXwgw0H2P32jqznW3Y+rfUbYehsuZGvThWp1SrZqET9PdKg0PY1z7HuI/+3JmWN21WnzKJTnEYLM0VqjoyWXLe7YFOebPpQnEp0T4cGTd91zfmmN397qtJvatMPNh0bptyodPzOfXz/d3//B/jd3/e+yUXEKc3OC+/Fl6951DctaW3h9SZ+koJNafqdE3+PagkzFVsJbGpU/GSBMangFA10qjW+Ytf12EZWzNhqmXaNJ8+gMuig17GKaAQlM5oC4DCaYnQLhl5xGyTpB0pGPT//l28HpmdGUjJjKTd0YFDas0iKckZVP9u8OlYjqjBTsZWQltFVEGOqZ6FQKNJjTPYsSD5f0iPY++IxT3rN316D5P2NcNg5sayycrV4u7akqbzfTsB/7MzKCyo3Ksb02nVrw9xvmmRdPsCKFJZFxlZjYVt0knmzga3bAJT2xWOey8qsSiXzZgOwZg0+uP92PjMwWzjnKKsMRrv3TzjwlQV8f/H31oaex198z1qcaZcXVG5Uji0uPYxnPWKNu3/zLf8u9dwf/wCf/s9v81mK7f/1x9A+95E07cBXFqD1w/S60Ww24+uLX5WeG7zsv8RW1s7dMzDnjPhtHnb/4ZxIkcKSIhOzIYSQQwCGABxOW5aEmQp1z6cDWb7nuZTS9jAJM9FYAAAh5Jdhp3DGC+qeTw/Gyz0rBadCoQiFaiwUCkUostRYRAsiMT5Q93x6MC7uOTM6C4VCkW2y1LNQKBQZRjUWCoUiFKqxUCgUoVCNhUKhCIVqLBQKRSj+P6+csvcVnu3qAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2468cfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 59.41082525253296 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 5.0, 'lmda': 1e-10} is: \n",
      "[[   80.00000004    24.             0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [   24.            52.00000003     0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [    0.             0.            80.00000004 ...    80.00000004\n",
      "     80.00000004    80.00000004]\n",
      " ...\n",
      " [    0.             0.            80.00000004 ... 12052.00002528\n",
      "  12052.00002538 11662.00002905]\n",
      " [    0.             0.            80.00000004 ... 12052.00002538\n",
      "  12068.00002698 11666.00003099]\n",
      " [    0.             0.            80.00000004 ... 11662.00002905\n",
      "  11666.00003099 11376.00005673]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb256f2198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 58.783164262771606 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 5.0, 'lmda': 1e-09} is: \n",
      "[[   80.0000004     24.             0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [   24.            52.0000003      0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [    0.             0.            80.0000004  ...    80.0000004\n",
      "     80.0000004     80.0000004 ]\n",
      " ...\n",
      " [    0.             0.            80.0000004  ... 12052.00025277\n",
      "  12052.00025382 11662.00029054]\n",
      " [    0.             0.            80.0000004  ... 12052.00025382\n",
      "  12068.00026978 11666.00030994]\n",
      " [    0.             0.            80.0000004  ... 11662.00029054\n",
      "  11666.00030994 11376.00056734]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb2461a198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 60.10993981361389 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 5.0, 'lmda': 1e-08} is: \n",
      "[[   80.000004      24.             0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [   24.            52.00000304     0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [    0.             0.            80.000004   ...    80.000004\n",
      "     80.000004      80.000004  ]\n",
      " ...\n",
      " [    0.             0.            80.000004   ... 12052.00252772\n",
      "  12052.00253822 11662.00290536]\n",
      " [    0.             0.            80.000004   ... 12052.00253822\n",
      "  12068.00269784 11666.00309938]\n",
      " [    0.             0.            80.000004   ... 11662.00290536\n",
      "  11666.00309938 11376.00567344]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 183 built in 60.08261752128601 seconds ---\n",
      "\n",
      "gram matrix with parameters {'kernel_type': 'branching', 'h': 5.0, 'lmda': 1e-07} is: \n",
      "[[   80.00004       24.             0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [   24.            52.0000304      0.         ...     0.\n",
      "      0.             0.        ]\n",
      " [    0.             0.            80.00004    ...    80.00004\n",
      "     80.00004       80.00004   ]\n",
      " ...\n",
      " [    0.             0.            80.00004    ... 12052.02527724\n",
      "  12052.02538223 11662.02905363]\n",
      " [    0.             0.            80.00004    ... 12052.02538223\n",
      "  12068.02697844 11666.03099384]\n",
      " [    0.             0.            80.00004    ... 11662.02905363\n",
      "  11666.03099384 11376.05673453]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb688ddf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%load_ext line_profiler\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import sys\n",
    "sys.path.insert(0, \"../\")\n",
    "from pygraph.utils.model_selection_precomputed import model_selection_for_precomputed_kernel\n",
    "from pygraph.kernels.treePatternKernel import treepatternkernel\n",
    "\n",
    "datafile = '../../../../datasets/acyclic/Acyclic/dataset_bps.ds'\n",
    "estimator = treepatternkernel\n",
    "param_grid_precomputed = {'h': np.linspace(1, 10, 10), \n",
    "                          'lmda': np.logspace(-10, 10, num = 21, base = 10),\n",
    "                          'kernel_type': ['untiln', 'size', 'branching']}\n",
    "param_grid = {'alpha': np.logspace(-10, 10, num = 41, base = 10)}\n",
    "\n",
    "model_selection_for_precomputed_kernel(datafile, estimator, param_grid_precomputed, param_grid, \n",
    "                                       'regression', NUM_TRIALS=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- This is a regression problem ---\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1e-10 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.36956548690796 seconds ---\n",
      "[[ 13.          14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.         ...  29.          29.\n",
      "   29.        ]\n",
      " ...\n",
      " [ 20.          20.          29.         ... 365.00000001 365.00000001\n",
      "  365.00000001]\n",
      " [ 20.          20.          29.         ... 365.00000001 365.00000001\n",
      "  365.00000001]\n",
      " [ 20.          20.          29.         ... 365.00000001 365.00000001\n",
      "  365.00000002]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  91%|█████████▏| 914/1000 [00:01<00:00, 751.28it/s]\n",
      " Mean performance on train set: 5.993535\n",
      "With standard deviation: 0.356922\n",
      "\n",
      " Mean performance on test set: 7.464904\n",
      "With standard deviation: 1.718585\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 795.88it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1e-09 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.47467517852783 seconds ---\n",
      "[[ 13.          14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.00000001   4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.         ...  29.          29.\n",
      "   29.        ]\n",
      " ...\n",
      " [ 20.          20.          29.         ... 365.00000015 365.00000015\n",
      "  365.00000015]\n",
      " [ 20.          20.          29.         ... 365.00000015 365.00000015\n",
      "  365.00000015]\n",
      " [ 20.          20.          29.         ... 365.00000015 365.00000015\n",
      "  365.0000002 ]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  98%|█████████▊| 975/1000 [00:01<00:00, 654.33it/s]\n",
      " Mean performance on train set: 5.963041\n",
      "With standard deviation: 0.374107\n",
      "\n",
      " Mean performance on test set: 7.375105\n",
      "With standard deviation: 1.769252\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 711.24it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1e-08 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.32968211174011 seconds ---\n",
      "[[ 13.00000004  14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.00000008   4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.00000004 ...  29.00000004  29.00000004\n",
      "   29.00000004]\n",
      " ...\n",
      " [ 20.          20.          29.00000004 ... 365.00000148 365.00000148\n",
      "  365.00000148]\n",
      " [ 20.          20.          29.00000004 ... 365.00000148 365.00000148\n",
      "  365.00000148]\n",
      " [ 20.          20.          29.00000004 ... 365.00000148 365.00000148\n",
      "  365.00000202]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  97%|█████████▋| 967/1000 [00:01<00:00, 809.48it/s]\n",
      " Mean performance on train set: 5.965110\n",
      "With standard deviation: 0.378249\n",
      "\n",
      " Mean performance on test set: 7.350689\n",
      "With standard deviation: 1.780556\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 786.78it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1e-07 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.74151062965393 seconds ---\n",
      "[[ 13.0000004  14.          4.        ...  20.         20.\n",
      "   20.       ]\n",
      " [ 14.         20.0000008   4.        ...  20.         20.\n",
      "   20.       ]\n",
      " [  4.          4.         13.0000004 ...  29.0000004  29.0000004\n",
      "   29.0000004]\n",
      " ...\n",
      " [ 20.         20.         29.0000004 ... 365.0000148 365.0000148\n",
      "  365.0000148]\n",
      " [ 20.         20.         29.0000004 ... 365.0000148 365.0000148\n",
      "  365.0000148]\n",
      " [ 20.         20.         29.0000004 ... 365.0000148 365.0000148\n",
      "  365.0000202]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  95%|█████████▌| 954/1000 [00:01<00:00, 735.76it/s]\n",
      " Mean performance on train set: 5.966982\n",
      "With standard deviation: 0.382093\n",
      "\n",
      " Mean performance on test set: 7.350999\n",
      "With standard deviation: 1.781470\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 804.24it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1e-06 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.52131748199463 seconds ---\n",
      "[[ 13.000004  14.         4.       ...  20.        20.        20.      ]\n",
      " [ 14.        20.000008   4.       ...  20.        20.        20.      ]\n",
      " [  4.         4.        13.000004 ...  29.000004  29.000004  29.000004]\n",
      " ...\n",
      " [ 20.        20.        29.000004 ... 365.000148 365.000148 365.000148]\n",
      " [ 20.        20.        29.000004 ... 365.000148 365.000148 365.000148]\n",
      " [ 20.        20.        29.000004 ... 365.000148 365.000148 365.000202]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  97%|█████████▋| 970/1000 [00:01<00:00, 759.32it/s]\n",
      " Mean performance on train set: 5.969758\n",
      "With standard deviation: 0.386318\n",
      "\n",
      " Mean performance on test set: 7.351225\n",
      "With standard deviation: 1.780522\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 783.42it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1e-05 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.67099857330322 seconds ---\n",
      "[[ 13.00004     14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.00008      4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.00004    ...  29.00004     29.00004\n",
      "   29.00004   ]\n",
      " ...\n",
      " [ 20.          20.          29.00004    ... 365.00148001 365.00148001\n",
      "  365.00148   ]\n",
      " [ 20.          20.          29.00004    ... 365.00148001 365.00148001\n",
      "  365.00148   ]\n",
      " [ 20.          20.          29.00004    ... 365.00148    365.00148\n",
      "  365.00202   ]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 801.70it/s]\n",
      " Mean performance on train set: 5.970557\n",
      "With standard deviation: 0.390719\n",
      "\n",
      " Mean performance on test set: 7.348129\n",
      "With standard deviation: 1.780293\n",
      "\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 0.0001 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 36.80127692222595 seconds ---\n",
      "[[ 13.0004      14.           4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [ 14.          20.0008       4.         ...  20.          20.\n",
      "   20.        ]\n",
      " [  4.           4.          13.0004     ...  29.0004      29.0004\n",
      "   29.0004    ]\n",
      " ...\n",
      " [ 20.          20.          29.0004     ... 365.01480072 365.01480072\n",
      "  365.0148    ]\n",
      " [ 20.          20.          29.0004     ... 365.01480072 365.01480072\n",
      "  365.0148    ]\n",
      " [ 20.          20.          29.0004     ... 365.0148     365.0148\n",
      "  365.0202    ]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  98%|█████████▊| 980/1000 [00:01<00:00, 889.41it/s]\n",
      " Mean performance on train set: 5.942495\n",
      "With standard deviation: 0.331983\n",
      "\n",
      " Mean performance on test set: 7.349836\n",
      "With standard deviation: 1.781100\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 883.76it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 0.001 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 35.8681423664093 seconds ---\n",
      "[[ 13.004     14.         4.       ...  20.        20.        20.      ]\n",
      " [ 14.        20.008      4.       ...  20.        20.        20.      ]\n",
      " [  4.         4.        13.004    ...  29.004     29.004     29.004   ]\n",
      " ...\n",
      " [ 20.        20.        29.004    ... 365.148072 365.148072 365.148   ]\n",
      " [ 20.        20.        29.004    ... 365.148072 365.148072 365.148   ]\n",
      " [ 20.        20.        29.004    ... 365.148    365.148    365.202   ]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  99%|█████████▉| 988/1000 [00:01<00:00, 886.54it/s]\n",
      " Mean performance on train set: 5.933395\n",
      "With standard deviation: 0.324965\n",
      "\n",
      " Mean performance on test set: 7.357745\n",
      "With standard deviation: 1.780977\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 888.00it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 0.01 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 36.001843214035034 seconds ---\n",
      "[[ 13.04    14.       4.     ...  20.      20.      20.    ]\n",
      " [ 14.      20.08     4.     ...  20.      20.      20.    ]\n",
      " [  4.       4.      13.04   ...  29.04    29.04    29.04  ]\n",
      " ...\n",
      " [ 20.      20.      29.04   ... 366.4872 366.4872 366.48  ]\n",
      " [ 20.      20.      29.04   ... 366.4872 366.4872 366.48  ]\n",
      " [ 20.      20.      29.04   ... 366.48   366.48   367.02  ]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  98%|█████████▊| 978/1000 [00:01<00:00, 863.94it/s]\n",
      " Mean performance on train set: 5.940695\n",
      "With standard deviation: 0.347431\n",
      "\n",
      " Mean performance on test set: 7.374269\n",
      "With standard deviation: 1.791145\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 878.96it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 0.1 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 36.37146854400635 seconds ---\n",
      "[[ 13.4   14.     4.   ...  20.    20.    20.  ]\n",
      " [ 14.    20.8    4.   ...  20.    20.    20.  ]\n",
      " [  4.     4.    13.4  ...  29.4   29.4   29.4 ]\n",
      " ...\n",
      " [ 20.    20.    29.4  ... 380.52 380.52 379.8 ]\n",
      " [ 20.    20.    29.4  ... 380.52 380.52 379.8 ]\n",
      " [ 20.    20.    29.4  ... 379.8  379.8  385.2 ]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  99%|█████████▉| 993/1000 [00:01<00:00, 860.40it/s]\n",
      " Mean performance on train set: 6.427114\n",
      "With standard deviation: 1.293674\n",
      "\n",
      " Mean performance on test set: 7.329299\n",
      "With standard deviation: 1.913634\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 883.01it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.83972358703613 seconds ---\n",
      "[[ 17.  14.   4. ...  20.  20.  20.]\n",
      " [ 14.  28.   4. ...  20.  20.  20.]\n",
      " [  4.   4.  17. ...  33.  33.  33.]\n",
      " ...\n",
      " [ 20.  20.  33. ... 585. 585. 513.]\n",
      " [ 20.  20.  33. ... 585. 585. 513.]\n",
      " [ 20.  20.  33. ... 513. 513. 567.]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  98%|█████████▊| 979/1000 [00:01<00:00, 616.77it/s]\n",
      " Mean performance on train set: 6.624254\n",
      "With standard deviation: 1.224196\n",
      "\n",
      " Mean performance on test set: 7.271336\n",
      "With standard deviation: 2.207735\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 630.82it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 10.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.50818395614624 seconds ---\n",
      "[[5.300e+01 1.400e+01 4.000e+00 ... 2.000e+01 2.000e+01 2.000e+01]\n",
      " [1.400e+01 1.000e+02 4.000e+00 ... 2.000e+01 2.000e+01 2.000e+01]\n",
      " [4.000e+00 4.000e+00 5.300e+01 ... 6.900e+01 6.900e+01 6.900e+01]\n",
      " ...\n",
      " [2.000e+01 2.000e+01 6.900e+01 ... 9.045e+03 9.045e+03 1.845e+03]\n",
      " [2.000e+01 2.000e+01 6.900e+01 ... 9.045e+03 9.045e+03 1.845e+03]\n",
      " [2.000e+01 2.000e+01 6.900e+01 ... 1.845e+03 1.845e+03 2.385e+03]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:   8%|▊         | 77/1000 [00:00<00:01, 764.71it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.069543502626658e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.1303298666315776e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.70249458866672e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.63992169055093e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.438093960487116e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0002169262936346e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.5920339281975188e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.5874866272574162e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.0599424240471626e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.468773818521402e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.958334441043603e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  27%|██▋       | 267/1000 [00:00<00:01, 654.82it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/sklearn/linear_model/ridge.py:154: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.\n",
      "  warnings.warn(\"Singular matrix in solving dual problem. Using \"\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.055618175730539e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.7159074038024934e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.895455126720251e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.400306511546424e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.206478316049589e-19 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.8083631222444177e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.49051280863482e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.339852738992424e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.277544863160196e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.458523723353626e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  48%|████▊     | 477/1000 [00:00<00:00, 685.70it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6380760737666547e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.3843421259537676e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.890544546973404e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.054758730954765e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.9172765626494813e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.4455093698440067e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.2914256710839066e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.65667341282596e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.852926745577629e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.285092924342139e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  69%|██████▉   | 694/1000 [00:01<00:00, 712.57it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.700250453064005e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6205193931367065e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.4925504318417794e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.0111387119813346e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.343123723749221e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0143662852277667e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.206690575125046e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.049999246995425e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.4232350203422674e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.350008400303505e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.251763015291957e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  90%|█████████ | 902/1000 [00:01<00:00, 666.85it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.924869742342744e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.4010401637647583e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.5117924740400373e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.626753798403599e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.911227588173856e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.0660043401009468e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.3099139652029694e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.2680602391853274e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.396574210735164e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  97%|█████████▋| 969/1000 [00:01<00:00, 600.11it/s]\n",
      " Mean performance on train set: 6.816974\n",
      "With standard deviation: 1.501822\n",
      "\n",
      " Mean performance on test set: 7.497870\n",
      "With standard deviation: 2.368148\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:01<00:00, 648.87it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 100.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.09455919265747 seconds ---\n",
      "[[4.13000e+02 1.40000e+01 4.00000e+00 ... 2.00000e+01 2.00000e+01\n",
      "  2.00000e+01]\n",
      " [1.40000e+01 8.20000e+02 4.00000e+00 ... 2.00000e+01 2.00000e+01\n",
      "  2.00000e+01]\n",
      " [4.00000e+00 4.00000e+00 4.13000e+02 ... 4.29000e+02 4.29000e+02\n",
      "  4.29000e+02]\n",
      " ...\n",
      " [2.00000e+01 2.00000e+01 4.29000e+02 ... 7.35165e+05 7.35165e+05\n",
      "  1.51650e+04]\n",
      " [2.00000e+01 2.00000e+01 4.29000e+02 ... 7.35165e+05 7.35165e+05\n",
      "  1.51650e+04]\n",
      " [2.00000e+01 2.00000e+01 4.29000e+02 ... 1.51650e+04 1.51650e+04\n",
      "  2.05650e+04]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  10%|▉         | 97/1000 [00:00<00:02, 436.93it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.249229588791739e-20 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6092761314568358e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6033357497241564e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.0333531111165975e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.073851980749357e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.497880470461594e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0349745182117167e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  17%|█▋        | 169/1000 [00:00<00:02, 372.64it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.227908145504113e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.1894008132724887e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.9131474526752795e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.0421770253846576e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.864916618602575e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.663676730244888e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  31%|███▏      | 314/1000 [00:00<00:01, 429.29it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.6989200751598342e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.9988176582222278e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.173259131422707e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.069621878854856e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.087601566853754e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.1827598831940232e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.428244298929586e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.1120965359644164e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.8329496119281176e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.5128147762765525e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.173155329882729e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  50%|█████     | 501/1000 [00:01<00:00, 516.57it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.874621241781873e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.9047959204426696e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.03000007539236e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.8198639503150797e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.679200342495213e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6211471280327221e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.74280825574767e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.685372827008377e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.9723233156997277e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.142362330339379e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.0042133764798303e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.987833375253946e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  71%|███████   | 706/1000 [00:01<00:00, 471.97it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.63949546549065e-19 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.76170805410039e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.3721058293845662e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.178277242767302e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.4883373934010664e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.526360275338589e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.827383891217367e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  81%|████████  | 807/1000 [00:01<00:00, 457.30it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.052622499085628e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.70793549450487e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.8190124240850417e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.349104192126423e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.132340452050677e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  91%|█████████ | 909/1000 [00:01<00:00, 451.90it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.78695142234395e-20 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.8765535280551442e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.9917255115528226e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.781650263544808e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.581768670551366e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.0493867289518776e-20 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.9787087068181396e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.756012232435961e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.800283208793992e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.468606690086715e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.119459703249427e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  96%|█████████▌| 956/1000 [00:02<00:00, 445.96it/s]\n",
      " Mean performance on train set: 6.687664\n",
      "With standard deviation: 1.348089\n",
      "\n",
      " Mean performance on test set: 7.428867\n",
      "With standard deviation: 2.647892\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:02<00:00, 467.65it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1000.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.517051219940186 seconds ---\n",
      "[[4.0130000e+03 1.4000000e+01 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [1.4000000e+01 8.0200000e+03 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [4.0000000e+00 4.0000000e+00 4.0130000e+03 ... 4.0290000e+03\n",
      "  4.0290000e+03 4.0290000e+03]\n",
      " ...\n",
      " [2.0000000e+01 2.0000000e+01 4.0290000e+03 ... 7.2148365e+07\n",
      "  7.2148365e+07 1.4836500e+05]\n",
      " [2.0000000e+01 2.0000000e+01 4.0290000e+03 ... 7.2148365e+07\n",
      "  7.2148365e+07 1.4836500e+05]\n",
      " [2.0000000e+01 2.0000000e+01 4.0290000e+03 ... 1.4836500e+05\n",
      "  1.4836500e+05 2.0236500e+05]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  10%|█         | 102/1000 [00:00<00:02, 330.46it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.374017095746491e-19 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.687507275679712e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.7645414168071277e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.8090152927008474e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.474194561968185e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.130856876335615e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  19%|█▉        | 188/1000 [00:00<00:02, 348.40it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.7794644716713837e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.3130943734340723e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.7505566440337117e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.3279670378456666e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.318466984022222e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.418445519765442e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  28%|██▊       | 285/1000 [00:00<00:01, 380.47it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.1356199672921913e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6464620684950592e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.179430869121561e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.473887201835687e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.570987725305032e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.854640029504099e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  38%|███▊      | 385/1000 [00:00<00:01, 389.24it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.3781828327775562e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.955507306233033e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.109947315270106e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.9378280303294975e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.866942525478256e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  49%|████▉     | 494/1000 [00:01<00:01, 398.83it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.636014964778956e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.6552163232757833e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.312233993243073e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.2794244316598437e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.406028628818668e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  60%|██████    | 604/1000 [00:01<00:00, 407.30it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.184686103929999e-20 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.1281587780183657e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.367013528660628e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.155116554595105e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.443029464120917e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.4923079446940085e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.750703061909557e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  71%|███████   | 707/1000 [00:01<00:00, 402.63it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.4970615125032324e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.39494402062226e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.818999641865095e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.051275910233908e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.688197813410084e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  81%|████████  | 806/1000 [00:01<00:00, 404.11it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.43659662072146e-20 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.4284104102664825e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.900304923444742e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.1112688931900636e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.941184656304436e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.746476431972804e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  91%|█████████ | 906/1000 [00:02<00:00, 407.57it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.327409345420052e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.0589341144557062e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.29154188313992e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.225020130252359e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.327720201864263e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  95%|█████████▌| 951/1000 [00:02<00:00, 373.87it/s]\n",
      " Mean performance on train set: 6.819058\n",
      "With standard deviation: 1.410085\n",
      "\n",
      " Mean performance on test set: 7.249143\n",
      "With standard deviation: 2.655536\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:02<00:00, 414.03it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.193651783291256e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.19984276961351e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.0689487149937185e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.8956869823870564e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.790887064559792e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 10000.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.01269268989563 seconds ---\n",
      "[[4.00130000e+04 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00200000e+04 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00130000e+04 ... 4.00290000e+04\n",
      "  4.00290000e+04 4.00290000e+04]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00290000e+04 ... 7.20148036e+09\n",
      "  7.20148036e+09 1.48036500e+06]\n",
      " [2.00000000e+01 2.00000000e+01 4.00290000e+04 ... 7.20148036e+09\n",
      "  7.20148036e+09 1.48036500e+06]\n",
      " [2.00000000e+01 2.00000000e+01 4.00290000e+04 ... 1.48036500e+06\n",
      "  1.48036500e+06 2.02036500e+06]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  11%|█▏        | 114/1000 [00:00<00:02, 303.84it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6978549111114387e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.1828172674052679e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.547017114313022e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.990786470945978e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.8300974250606965e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.727582936838558e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  21%|██        | 208/1000 [00:00<00:02, 342.60it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.569354559683504e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.885865920757663e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.006883677471783e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.2491482969368813e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.596699463334369e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.74024827114128e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0002891123411383e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  31%|███       | 311/1000 [00:00<00:01, 371.07it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.478112292477647e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.3626069490970097e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.751107853461428e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.007160521891646e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.592912372477283e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  41%|████▏     | 414/1000 [00:01<00:01, 394.40it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.286966904954778e-19 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.330065717080935e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.0639972759819077e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.3250852692883386e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.32507703774876e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.514317701906229e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  51%|█████▏    | 514/1000 [00:01<00:01, 411.17it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.5186106207732215e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.2309907116861648e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.582391203608073e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.638503426307468e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0580872068659216e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  62%|██████▏   | 615/1000 [00:01<00:00, 424.96it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.633316922861427e-19 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.253166879599146e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.4688155478710103e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.3252803222906435e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.713726552669558e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.934042177466841e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.468592067289146e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  72%|███████▏  | 716/1000 [00:01<00:00, 433.84it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.66227030386163e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.5342528466878185e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.620745355332433e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.5797394734563764e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.109079490079661e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.548426603146641e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0484899604694826e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  82%|████████▏ | 816/1000 [00:01<00:00, 439.46it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.080827240476694e-20 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.8279322282295696e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.0410721959495632e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.343375151645726e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.351177509861134e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.370583478449445e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  92%|█████████▏| 916/1000 [00:02<00:00, 437.07it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.3677978521118296e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0227997187914302e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.557088603475233e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.657645350184021e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.990628121216557e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  96%|█████████▌| 962/1000 [00:02<00:00, 393.51it/s]\n",
      " Mean performance on train set: 6.934306\n",
      "With standard deviation: 1.384412\n",
      "\n",
      " Mean performance on test set: 7.081832\n",
      "With standard deviation: 2.624800\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:02<00:00, 420.16it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.2964047050969517e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.089708488833387e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.3234351109582e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.293818265362604e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.44555950404844e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 100000.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 35.835275411605835 seconds ---\n",
      "[[4.0001300e+05 1.4000000e+01 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [1.4000000e+01 8.0002000e+05 4.0000000e+00 ... 2.0000000e+01\n",
      "  2.0000000e+01 2.0000000e+01]\n",
      " [4.0000000e+00 4.0000000e+00 4.0001300e+05 ... 4.0002900e+05\n",
      "  4.0002900e+05 4.0002900e+05]\n",
      " ...\n",
      " [2.0000000e+01 2.0000000e+01 4.0002900e+05 ... 7.2001480e+11\n",
      "  7.2001480e+11 1.4800365e+07]\n",
      " [2.0000000e+01 2.0000000e+01 4.0002900e+05 ... 7.2001480e+11\n",
      "  7.2001480e+11 1.4800365e+07]\n",
      " [2.0000000e+01 2.0000000e+01 4.0002900e+05 ... 1.4800365e+07\n",
      "  1.4800365e+07 2.0200365e+07]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  13%|█▎        | 126/1000 [00:00<00:03, 261.95it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.0191112815027622e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.232307074954237e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.097885039345644e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.727869526025791e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  21%|██        | 208/1000 [00:00<00:03, 262.44it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.2411064955279154e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.149899322677468e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.642478117522784e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  30%|███       | 305/1000 [00:01<00:02, 265.15it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.785067039039337e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.225934530879337e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.562790184640486e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  41%|████▏     | 414/1000 [00:01<00:01, 297.05it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.135758789917749e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.564182826681079e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.542436590136228e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  50%|█████     | 500/1000 [00:01<00:01, 319.27it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.195315905739342e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.379873880613873e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.630975349505465e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.518071272961898e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  61%|██████▏   | 613/1000 [00:02<00:01, 303.76it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.9460047081015216e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.839254463570563e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.318583704180543e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  73%|███████▎  | 728/1000 [00:02<00:00, 300.34it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.3984244112232524e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.3291156014339405e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.707621088224988e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0690013288979288e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  81%|████████▏ | 813/1000 [00:02<00:00, 321.97it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.315773170165585e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.138544398203078e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.386508127676171e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  89%|████████▉ | 891/1000 [00:02<00:00, 317.18it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.6842499515474312e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.528434456947986e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.856433851414765e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  96%|█████████▌| 957/1000 [00:03<00:00, 259.36it/s]\n",
      " Mean performance on train set: 9.394995\n",
      "With standard deviation: 1.047066\n",
      "\n",
      " Mean performance on test set: 8.237631\n",
      "With standard deviation: 3.665300\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:03<00:00, 299.25it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1000000.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.056791553686018e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.644703618966645e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.15242050721053e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.77732253074646 seconds ---\n",
      "[[4.00001300e+06 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00002000e+06 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00001300e+06 ... 4.00002900e+06\n",
      "  4.00002900e+06 4.00002900e+06]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00002900e+06 ... 7.20001480e+13\n",
      "  7.20001480e+13 1.48000365e+08]\n",
      " [2.00000000e+01 2.00000000e+01 4.00002900e+06 ... 7.20001480e+13\n",
      "  7.20001480e+13 1.48000365e+08]\n",
      " [2.00000000e+01 2.00000000e+01 4.00002900e+06 ... 1.48000365e+08\n",
      "  1.48000365e+08 2.02000365e+08]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  14%|█▎        | 135/1000 [00:00<00:03, 253.06it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.741195162637844e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.5965964498458038e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.983361443347492e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.7922291165206923e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.685526054240851e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  23%|██▎       | 230/1000 [00:00<00:02, 265.75it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6848871984797616e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.8811603375005575e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.7514073450053307e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.5976314128410034e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.790988115471154e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.477178586927344e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.035215871851048e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  33%|███▎      | 332/1000 [00:01<00:02, 277.35it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.287317576627726e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.886325173924881e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.8372812242318245e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.523017625167697e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.309735186090854e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  43%|████▎     | 431/1000 [00:01<00:02, 258.66it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.2092887442597021e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.444285941342485e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6650957319224102e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.778343353100153e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.067496740668901e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.832366528737191e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  53%|█████▎    | 534/1000 [00:01<00:01, 252.20it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.2368084459111367e-19 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.625050966790768e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.786992563738048e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.5350081600164477e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.2823286559994256e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.880362578796432e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.1100444346816681e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  64%|██████▎   | 637/1000 [00:02<00:01, 260.77it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.1335408080135885e-20 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.4688002952482946e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.6678722631357644e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.288251804550535e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.895017980474164e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  74%|███████▍  | 741/1000 [00:02<00:00, 276.66it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.209157188853246e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.4519382674684447e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.5748326244710203e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.852436562697074e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.536506069365062e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.969036612017947e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  81%|████████▏ | 813/1000 [00:02<00:00, 297.62it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.309383987394578e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.565067260805818e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.516194197490843e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.041064934861363e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.499601220689098e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.051151158798192e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  92%|█████████▏| 915/1000 [00:03<00:00, 298.37it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.7472428919435347e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.703770718809819e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.2818242346374262e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.102554831016506e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.599188283622467e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0647003359802031e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  98%|█████████▊| 977/1000 [00:03<00:00, 278.57it/s]\n",
      " Mean performance on train set: 9.635245\n",
      "With standard deviation: 0.687560\n",
      "\n",
      " Mean performance on test set: 8.529828\n",
      "With standard deviation: 3.580591\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:03<00:00, 284.18it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 10000000.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.502409510736216e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0439081147173944e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.4602149061556115e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.9479003259500843e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.34621741763787e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.0245542507930726e-16 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.46095633506775 seconds ---\n",
      "[[4.00000130e+07 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00000200e+07 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00000130e+07 ... 4.00000290e+07\n",
      "  4.00000290e+07 4.00000290e+07]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00000290e+07 ... 7.20000148e+15\n",
      "  7.20000148e+15 1.48000036e+09]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000290e+07 ... 7.20000148e+15\n",
      "  7.20000148e+15 1.48000036e+09]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000290e+07 ... 1.48000036e+09\n",
      "  1.48000036e+09 2.02000036e+09]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  12%|█▏        | 122/1000 [00:00<00:03, 231.16it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.200122265640733e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.627297027618617e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.893611596005168e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.1052758523976415e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.158312302718829e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.675650470006637e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  23%|██▎       | 227/1000 [00:00<00:03, 253.57it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.2230286797750079e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.0790289882373515e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.6170735381557016e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.90989130271085e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.4735492461286675e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.544548737558878e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  34%|███▍      | 344/1000 [00:01<00:02, 274.36it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.0569387542185164e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.8929851773550792e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.762490810329375e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.031994076021703e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.380795983197089e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  44%|████▎     | 437/1000 [00:01<00:02, 281.37it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.159845331824398e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.592173545119868e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.0031182975801337e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.315102488294594e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.427690586128571e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.36815306216013e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  52%|█████▎    | 525/1000 [00:01<00:01, 277.96it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.096509347533013e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.2037051514926243e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.641239932076709e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.911654384898199e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.195245830759744e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  61%|██████    | 606/1000 [00:02<00:01, 236.45it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.179739003035368e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.121167134816686e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 2.201750997217992e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.6143396276266097e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.876412427833992e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 8.158416120381036e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  73%|███████▎  | 727/1000 [00:02<00:01, 211.65it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.355737066205781e-20 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 6.778261189640049e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.992328403436096e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.166526583123927e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.566565138343654e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.272056103177315e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  82%|████████▏ | 822/1000 [00:03<00:00, 223.94it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.2435735437353417e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.471379508084743e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.686971341479104e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.827108937015577e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  93%|█████████▎| 931/1000 [00:03<00:00, 255.06it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.2357280081107672e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.559072238694825e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.45488311322705e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.6616151717441874e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.807701664283496e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance:  98%|█████████▊| 983/1000 [00:04<00:00, 220.81it/s]\n",
      " Mean performance on train set: 11.059074\n",
      "With standard deviation: 1.323635\n",
      "\n",
      " Mean performance on test set: 10.964175\n",
      "With standard deviation: 3.358726\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:04<00:00, 242.35it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 100000000.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 9.749823872976888e-19 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 5.347208969568296e-18 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 1.9981807042259307e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 3.298232968104139e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 4.391381083354749e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n",
      "/home/ljia/.local/lib/python3.5/site-packages/scipy/linalg/basic.py:40: RuntimeWarning: scipy.linalg.solve\n",
      "Ill-conditioned matrix detected. Result is not guaranteed to be accurate.\n",
      "Reciprocal condition number/precision: 7.328796748008544e-17 / 1.1102230246251565e-16\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.91001057624817 seconds ---\n",
      "[[4.00000013e+08 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00000020e+08 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00000013e+08 ... 4.00000029e+08\n",
      "  4.00000029e+08 4.00000029e+08]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00000029e+08 ... 7.20000015e+17\n",
      "  7.20000015e+17 1.48000004e+10]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000029e+08 ... 7.20000015e+17\n",
      "  7.20000015e+17 1.48000004e+10]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000029e+08 ... 1.48000004e+10\n",
      "  1.48000004e+10 2.02000004e+10]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  99%|█████████▉| 992/1000 [00:03<00:00, 267.91it/s]\n",
      " Mean performance on train set: 66.147687\n",
      "With standard deviation: 11.979989\n",
      "\n",
      " Mean performance on test set: 63.221208\n",
      "With standard deviation: 13.381090\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:03<00:00, 252.05it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 1000000000.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 38.43676400184631 seconds ---\n",
      "[[4.00000001e+09 1.40000000e+01 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [1.40000000e+01 8.00000002e+09 4.00000000e+00 ... 2.00000000e+01\n",
      "  2.00000000e+01 2.00000000e+01]\n",
      " [4.00000000e+00 4.00000000e+00 4.00000001e+09 ... 4.00000003e+09\n",
      "  4.00000003e+09 4.00000003e+09]\n",
      " ...\n",
      " [2.00000000e+01 2.00000000e+01 4.00000003e+09 ... 7.20000001e+19\n",
      "  7.20000001e+19 1.48000000e+11]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000003e+09 ... 7.20000001e+19\n",
      "  7.20000001e+19 1.48000000e+11]\n",
      " [2.00000000e+01 2.00000000e+01 4.00000003e+09 ... 1.48000000e+11\n",
      "  1.48000000e+11 2.02000000e+11]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance:  98%|█████████▊| 976/1000 [00:04<00:00, 268.70it/s]\n",
      " Mean performance on train set: 96.664827\n",
      "With standard deviation: 1.871320\n",
      "\n",
      " Mean performance on test set: 100.134704\n",
      "With standard deviation: 13.845906\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:04<00:00, 236.90it/s]\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when lmda = 10000000000.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 185 built in 37.32151246070862 seconds ---\n",
      "[[4.00e+10 1.40e+01 4.00e+00 ... 2.00e+01 2.00e+01 2.00e+01]\n",
      " [1.40e+01 8.00e+10 4.00e+00 ... 2.00e+01 2.00e+01 2.00e+01]\n",
      " [4.00e+00 4.00e+00 4.00e+10 ... 4.00e+10 4.00e+10 4.00e+10]\n",
      " ...\n",
      " [2.00e+01 2.00e+01 4.00e+10 ... 7.20e+21 7.20e+21 1.48e+12]\n",
      " [2.00e+01 2.00e+01 4.00e+10 ... 7.20e+21 7.20e+21 1.48e+12]\n",
      " [2.00e+01 2.00e+01 4.00e+10 ... 1.48e+12 1.48e+12 2.02e+12]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance: 100%|█████████▉| 997/1000 [00:03<00:00, 268.42it/s]\n",
      " Mean performance on train set: 98.175092\n",
      "With standard deviation: 4.720613\n",
      "\n",
      " Mean performance on test set: 100.144883\n",
      "With standard deviation: 13.958659\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:03<00:00, 260.49it/s]\n",
      "\n",
      "\n",
      "       lmda    rmse_test    std_test    rmse_train    std_train    k_time\n",
      "-----------  -----------  ----------  ------------  -----------  --------\n",
      "     1e-10       7.4649      1.71858       5.99354     0.356922   37.3696\n",
      "     1e-09       7.37511     1.76925       5.96304     0.374107   37.4747\n",
      "     1e-08       7.35069     1.78056       5.96511     0.378249   37.3297\n",
      "     1e-07       7.351       1.78147       5.96698     0.382093   37.7415\n",
      "     1e-06       7.35123     1.78052       5.96976     0.386318   37.5213\n",
      "     1e-05       7.34813     1.78029       5.97056     0.390719   37.671\n",
      "     0.0001      7.34984     1.7811        5.9425      0.331983   36.8013\n",
      "     0.001       7.35775     1.78098       5.9334      0.324965   35.8681\n",
      "     0.01        7.37427     1.79115       5.94069     0.347431   36.0018\n",
      "     0.1         7.3293      1.91363       6.42711     1.29367    36.3715\n",
      "     1           7.27134     2.20774       6.62425     1.2242     37.8397\n",
      "    10           7.49787     2.36815       6.81697     1.50182    37.5082\n",
      "   100           7.42887     2.64789       6.68766     1.34809    37.0946\n",
      "  1000           7.24914     2.65554       6.81906     1.41008    37.5171\n",
      " 10000           7.08183     2.6248        6.93431     1.38441    37.0127\n",
      "100000           8.23763     3.6653        9.395       1.04707    35.8353\n",
      "     1e+06       8.52983     3.58059       9.63525     0.68756    37.7773\n",
      "     1e+07      10.9642      3.35873      11.0591      1.32363    37.461\n",
      "     1e+08      63.2212     13.3811       66.1477     11.98       37.91\n",
      "     1e+09     100.135      13.8459       96.6648      1.87132    38.4368\n",
      "     1e+10     100.145      13.9587       98.1751      4.72061    37.3215\n"
     ]
    }
   ],
   "source": [
    "# tree pattern kernel, dataset acyclic.\n",
    "%load_ext line_profiler\n",
    "\n",
    "import sys\n",
    "sys.path.insert(0, \"../\")\n",
    "from pygraph.utils.utils import kernel_train_test\n",
    "from pygraph.kernels.treePatternKernel import treepatternkernel\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "datafile = '../../../../datasets/acyclic/Acyclic/dataset_bps.ds'\n",
    "kernel_file_path = 'kernelmatrices_path_acyclic/'\n",
    "\n",
    "\n",
    "kernel_para = dict(node_label = 'atom', edge_label = 'bond_type', labeled = True, \\\n",
    "    kernel_type = 'untiln', h = 2)\n",
    "\n",
    "kernel_train_test(datafile, kernel_file_path, treepatternkernel, kernel_para, \\\n",
    "    hyper_name = 'lmda', hyper_range = np.logspace(-10, 10, num = 21, base = 10), \\\n",
    "    normalize = False, model_type = 'regression')\n",
    "\n",
    "# kernel_para['depth'] = 10\n",
    "# %lprun -f untildpathkernel \\\n",
    "#     kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, normalize = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# results\n",
    "\n",
    "# untiln kernel when h = 2\n",
    "       lmda    rmse_test    std_test    rmse_train    std_train    k_time\n",
    "-----------  -----------  ----------  ------------  -----------  --------\n",
    "     1e-10       7.46524     1.71862       5.99486     0.356634   38.1447\n",
    "     1e-09       7.37326     1.77195       5.96155     0.374395   37.4921\n",
    "     1e-08       7.35105     1.78349       5.96481     0.378047   37.9971\n",
    "     1e-07       7.35213     1.77903       5.96728     0.382251   38.3182\n",
    "     1e-06       7.3524      1.77992       5.9696      0.3863     39.6428\n",
    "     1e-05       7.34958     1.78141       5.97114     0.39017    37.3711\n",
    "     0.0001      7.3513      1.78136       5.94251     0.331843   37.3967\n",
    "     0.001       7.35822     1.78119       5.9326      0.32534    36.7357\n",
    "     0.01        7.37552     1.79037       5.94089     0.34763    36.8864\n",
    "     0.1         7.32951     1.91346       6.42634     1.29405    36.8382\n",
    "     1           7.27134     2.20774       6.62425     1.2242     37.2425\n",
    "    10           7.49787     2.36815       6.81697     1.50182    37.8286\n",
    "   100           7.42887     2.64789       6.68766     1.34809    36.3701\n",
    "  1000           7.24914     2.65554       6.81906     1.41008    36.1695\n",
    " 10000           7.08183     2.6248        6.93431     1.38441    37.5723\n",
    "100000           8.021       3.43694       8.69813     0.909839   37.8158\n",
    "     1e+06       8.49625     3.6332        9.59333     0.96626    38.4688\n",
    "     1e+07      10.9067      3.17593      11.5642      2.07792    36.9926\n",
    "     1e+08      61.1524     10.4355       65.3527     13.9538     37.1321\n",
    "     1e+09      99.943      13.6994       98.8848      5.27014    36.7443\n",
    "     1e+10     100.083      13.8503       97.9168      3.22768    37.096\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The line_profiler extension is already loaded. To reload it, use:\n",
      "  %reload_ext line_profiler\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6be3d4a8d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0, {'atom': 'C', 'label': 'C'}), (1, {'atom': 'C', 'label': 'C'}), (2, {'atom': 'C', 'label': 'C'}), (3, {'atom': 'C', 'label': 'C'}), (4, {'atom': 'S', 'label': 'S'})]\n",
      "\n",
      " --- kernel matrix of tree pattern kernel of size 39 built in 3.5270774364471436 seconds ---\n",
      "(array([[1.99007809e+036, 4.00000000e+000, 4.00000000e+000, ...,\n",
      "        1.00000000e+001, 1.00000000e+001, 1.00000000e+001],\n",
      "       [4.00000000e+000, 6.37886713e+019, 4.34000000e+002, ...,\n",
      "        6.37886713e+019, 6.37886713e+019, 6.37886713e+019],\n",
      "       [4.00000000e+000, 4.34000000e+002, 1.99007809e+036, ...,\n",
      "        4.40000000e+002, 4.40000000e+002, 4.40000000e+002],\n",
      "       ...,\n",
      "       [1.00000000e+001, 6.37886713e+019, 4.40000000e+002, ...,\n",
      "        2.94561201e+119, 1.16903692e+080, 4.42354433e+082],\n",
      "       [1.00000000e+001, 6.37886713e+019, 4.40000000e+002, ...,\n",
      "        1.16903692e+080, 4.21212139e+264, 1.66634383e+080],\n",
      "       [1.00000000e+001, 6.37886713e+019, 4.40000000e+002, ...,\n",
      "        4.42354433e+082, 1.66634383e+080, 5.17763068e+117]]), 3.5270774364471436)\n"
     ]
    }
   ],
   "source": [
    "%load_ext line_profiler\n",
    "\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "sys.path.insert(0, \"../\")\n",
    "from pygraph.utils.graphfiles import loadDataset\n",
    "from pygraph.utils.utils import kernel_train_test\n",
    "\n",
    "from pygraph.kernels.treePatternKernel import treepatternkernel, _treepatternkernel_do\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "datafile = '../../../../datasets/acyclic/Acyclic/dataset_bps.ds'\n",
    "\n",
    "dataset, y = loadDataset(datafile)\n",
    "G1 = dataset[100]\n",
    "G2 = dataset[20]\n",
    "data = [G1, G2]\n",
    "# nx.draw_networkx(G1)\n",
    "# plt.show()\n",
    "# print(G1.nodes(data=True)20\n",
    "nx.draw_networkx(G2)\n",
    "plt.show()\n",
    "print(G2.nodes(data=True))\n",
    "\n",
    "\n",
    "%lprun -f _treepatternkernel_do \\\n",
    "    kernel = treepatternkernel(dataset[1:40], node_label = 'atom', edge_label = 'bond_type', labeled = True, \\\n",
    "    kernel_type = 'untiln', lmda = 1, h = 10)\n",
    "\n",
    "print(kernel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- This is a classification problem ---\n",
      "\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "retrieve patterns: 100%|██████████| 185/185 [00:00<00:00, 2064.69it/s]\n",
      "calculate kernels: 100%|██████████| 185/185 [00:00<00:00, 11170.00it/s]\n",
      "\n",
      " --- kernel matrix of cyclic pattern kernel of size 185 built in 0.10836505889892578 seconds ---\n",
      "[[0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " ...\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]]\n",
      "\n",
      " Starting calculate accuracy/rmse...\n",
      "calculate performance: 100%|██████████| 1000/1000 [00:24<00:00, 36.41it/s]\n",
      " Mean performance on train set: 0.018072\n",
      "With standard deviation: 0.000000\n",
      "\n",
      " Mean performance on test set: 0.000000\n",
      "With standard deviation: 0.000000\n",
      "\n",
      "\n",
      "  accur_test    std_test    accur_train    std_train    k_time\n",
      "------------  ----------  -------------  -----------  --------\n",
      "           0           0      0.0180723            0  0.108365\n"
     ]
    }
   ],
   "source": [
    "%load_ext line_profiler\n",
    "\n",
    "import sys\n",
    "sys.path.insert(0, \"../\")\n",
    "from pygraph.utils.utils import kernel_train_test\n",
    "from pygraph.kernels.cyclicPatternKernel import cyclicpatternkernel\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "datafile = '../../../../datasets/acyclic/Acyclic/dataset_bps.ds'\n",
    "kernel_file_path = 'kernelmatrices_path_acyclic/'\n",
    "\n",
    "kernel_para = dict(node_label = 'atom', edge_label = 'bond_type', labeled = True, cycle_bound = 200)\n",
    "\n",
    "# kernel_train_test(datafile, kernel_file_path, treeletkernel, kernel_para, normalize = False)\n",
    "\n",
    "kernel_train_test(datafile, kernel_file_path, cyclicpatternkernel, kernel_para, \\\n",
    "    normalize = False , model_type = 'classification')\n",
    "\n",
    "# kernel_para['k_func'] = 'minmax'\n",
    "# kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, \\\n",
    "#     hyper_name = 'depth', hyper_range = np.linspace(0, 10, 11), normalize = True)\n",
    "# kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, \\\n",
    "#     hyper_name = 'depth', hyper_range = np.linspace(0, 10, 11), normalize = False)\n",
    "# # kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, normalize = False)\n",
    "\n",
    "# kernel_para['depth'] = 10\n",
    "# %lprun -f untildpathkernel \\\n",
    "#     kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, normalize = False)"
   ]
  }
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