From 52a3104daf2aed79a70f2ccfeb2b962d764e86ab Mon Sep 17 00:00:00 2001 From: karaage0703 Date: Mon, 2 Oct 2017 22:44:34 +0900 Subject: [PATCH] modify for CPU only working --- chainer-ja.ipynb | 727 ++++------------- chainer-ja_karaage.ipynb | 1668 -------------------------------------- 2 files changed, 165 insertions(+), 2230 deletions(-) delete mode 100644 chainer-ja_karaage.ipynb diff --git a/chainer-ja.ipynb b/chainer-ja.ipynb index 31b42f5..d4d02c4 100644 --- a/chainer-ja.ipynb +++ b/chainer-ja.ipynb @@ -2,10 +2,7 @@ "cells": [ { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "# Chainerハンズオン: Pythonによるディープラーニング入門\n", "\n", @@ -45,10 +42,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## 準備: Chainerのインポート\n", "\n", @@ -59,9 +53,6 @@ "cell_type": "code", "execution_count": 1, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -69,7 +60,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Chainer version: 1.20.0.1\n" + "Chainer version: 2.1.0\n" ] } ], @@ -83,7 +74,7 @@ "\n", "# Import NumPy and CuPy\n", "import numpy as np\n", - "import cupy as cp\n", + "# import cupy as cp\n", "\n", "# Utilities\n", "import time\n", @@ -94,10 +85,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "# Section 1. パーセプトロンによるMNIST画像分類\n", "\n", @@ -111,9 +99,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "### 定義: 多層パーセプトロン(2層)\n", @@ -129,9 +115,7 @@ "cell_type": "code", "execution_count": 2, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, + "collapsed": true, "scrolled": false }, "outputs": [], @@ -155,10 +139,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 準備: MNISTデータセット読み込み＆前処理\n", "\n", @@ -171,9 +152,6 @@ "cell_type": "code", "execution_count": 3, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -181,6 +159,10 @@ "name": "stdout", "output_type": "stream", "text": [ + "Downloading from http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz...\n", + "Downloading from http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz...\n", + "Downloading from http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz...\n", + "Downloading from http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz...\n", "Train: 60000\n", "Test: 10000\n" ] @@ -194,10 +176,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 準備: 実験セットアップ\n", "\n", @@ -209,8 +188,6 @@ "execution_count": 4, "metadata": { "collapsed": true, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [], @@ -221,10 +198,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Experiment 1.1 - CPUを用いたMLP2の訓練\n", "\n", @@ -235,9 +209,7 @@ "cell_type": "code", "execution_count": 5, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, + "collapsed": true, "scrolled": false }, "outputs": [], @@ -248,10 +220,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 定義: MNISTの訓練とテストを行うメソッド\n", "\n", @@ -266,9 +235,7 @@ "cell_type": "code", "execution_count": 6, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, + "collapsed": true, "scrolled": false }, "outputs": [], @@ -302,9 +269,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "### 実行: \"test finished\"が表示されれば完了\n", @@ -316,9 +281,6 @@ "cell_type": "code", "execution_count": 7, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -327,9 +289,9 @@ "output_type": "stream", "text": [ "epoch iteration main/loss validation/main/loss main/accuracy validation/main/accuracy\n", - "\u001b[J1 600 1.12941 0.651255 0.755867 0.8564 \n", - "\u001b[J2 1200 0.562851 0.469567 0.863783 0.8852 \n", - "Elapsed time: 31.133\n" + "\u001b[J1 600 1.10762 0.645803 0.75225 0.8545 \n", + "\u001b[J2 1200 0.562491 0.467724 0.862567 0.886 \n", + "Elapsed time: 6.933\n" ] } ], @@ -340,10 +302,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 評価: 1回目の結果を確認する\n", "\n", @@ -352,11 +311,7 @@ }, { "cell_type": "markdown", - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 準備: 可視化ツールのインポート\n", "\n", @@ -367,9 +322,7 @@ "cell_type": "code", "execution_count": 8, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, + "collapsed": true, "scrolled": false }, "outputs": [], @@ -384,10 +337,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 定義: 計算グラフの可視化メソッド\n", "\n", @@ -399,8 +349,6 @@ "execution_count": 9, "metadata": { "collapsed": true, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [], @@ -415,10 +363,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: MLP2の計算グラフ可視化\n", "\n", @@ -433,15 +378,12 @@ "cell_type": "code", "execution_count": 10, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ { "data": { - "image/png": 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t7bCzs4O3t7dw5TkgIADDhg0TO1wa4K7eBNHkdkVFBYyNjTF16lTMnDlTyO2p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\nKpK/v7+Sk5P12GOPGR0HV/n00081bNgwFRYWOu7xA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cYyqnOiDqKGhZJlmjZNmT2FW+5PKqtR1VH7LS9OvXz807VmCxoGVQFmjlX4JZ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\nTkSuQmCC\n", "text/plain": [ "" ] @@ -461,10 +403,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 定義: 画像と予測ラベルのプロット\n", "\n", @@ -476,8 +415,6 @@ "execution_count": 11, "metadata": { "collapsed": true, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [], @@ -502,10 +439,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: いくつかのサンプルが誤分類される\n", "\n", @@ -516,17 +450,14 @@ "cell_type": "code", "execution_count": 12, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": true }, "outputs": [ { "data": { - "image/png": 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/81fSGs6orZ9o74bmz1rNCn+3HRN1/cxsUiJe2cyGmdlUM5tuZn82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\nuoEDB0bxPvvsE8UbbbRRrpzO/3QO33r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93PP/+8YDuyQK56tbBOHTt2bBTvvPPOufLTTz8d1bVr1y6Kk49YOPjgg6O69LiKl156qVHtbA7k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\nHdHvIX+b9Hnyv4UWy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6fMZrWK36lLoBb3/U1iSW97f778FySdxFPkV1JaT/kz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\nUnbORXWPPfZYJZqECjj66KPLnvbyyy+P4q+++qqpm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8yGmtlTZvaFpH2LbWTqi+Xu0l6W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\nu0j+S36y/NHrmv3bKfJfOp/JHy0tdpXOfvJfYu/JX9TmJ+E53pO/lO1H5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Z2Vfh/e1TwbzVuk+t8zan1fUKWRtJp9Zx3qx7JY2U1F3SjpJONLO9M9N0DS/c0s65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\nuiaUnaQ1i7StxR+nhmkHShpbTn6m5hmsKj1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QdqEbAAAA0Bq0acN5cAA/xDcDAAAAAARChwwAAAAAAqFDBgAAAACB0CEDAAAA\ngEDokAEAAABAIHTIAAAAACAQc86FbgMAAAAAtEpcIQMAAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAA\nAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAAAIHQIQMAAACAQOiQAQAAAEAgdMgAAAAA\nIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAAAIHQIQMAAACAQOiQAQAAAEAg\ndMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAAAIHQIQMAAACAQOiQ\nAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAAAIHQIQMA\nAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAA\nAIHQIQMAAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAAC\noUMGAAAAAIHQIQMAAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKH\nDAAAAAACoUMGAAAAAIHQIQMAAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhlK\nwswuNLM74nJvM1toZm1DtwtII1dRC8hT1ApyFbWimnO16A6ZmU01s8/NrFPi/4aZ2fjmNCBe3+L4\nTVloZmNT9b80s2lmtsjMRpvZSnnW19PMZuSoNzObYmaTm9Pe0MxsXTN72My+MrM5ZvbnAl+3k5kt\ni9/jr8zsPTP7dTna6Jz7xDnX2Tm3tIA2Zf2sEss1d58rlqtmtoaZ/dvMPjMzZ2Z9Clhf3eaqmR0S\n59iC+DP4h5l1LfC1NZmrzd3nCufp3mb2nJl9YWYzzewmM+uSZ331nKdHmtnSxHu10Mx2KvC1tZqn\nLdnnSubqzmb2Zpyrc83sATNbM8/6yNWmX0uuqrzHqonlbrHoGKBvnvXVba5KHKsWs88NmnuFrK2k\nk5v52qYMjt+Uzs653Rv+08w2lnS9pMMk9ZD0taTr8qxrkKTHc9QPlLSapHXNbMuWNbt8zKxdE/+3\nnKQnJI2TtLqkXpLuKGK1nznnOkvqKulMSTeaWb9Cth1KCfa5IrkqaZmivDugiHXVba5KmihpR+dc\nV0nrSmoobQAjAAAgAElEQVQn6dIiVltzuaqW7XOl8nTFuE09Jf1I0pqSrsyzrnrOU0l6IfFedXbO\njS9itbWYp1LL9rlSuTpZUe51V5SvH0ganmdd5Gp25GrLZctVSZKZbS9pvQLXVbe5yrFqs/a52R2y\nKyWdZmbdsjRsWzN72cy+jP/dtpnb+ZWkh5xzzzrnFko6T9L+lvuM7iBJj+aoP0LSg/EyR6TaPd7M\nLjGz5+Me7lgzWyWuW97M7ojP1H0R71ePhrN4iXU8YWYvJ+IJZjYkLvc0s/vMbLaZfWxmJyWWu9DM\n7o23sUDSkU20/UhFiXq1c26Rc+4b59wbOfa1SS4yWtJ8Sf3MrE98RudoM/tEUULJzAaY2cR4fycl\nz0yZ2Tpm9kz8Pj0haZVEXcP62sXxSmZ2q0VXj+ZbdKWzk6THJPVMnHHqWYZ9rkiuOudmOeeuk/Ry\n3oUb1W2uxmeeZib+a6mknGcMm1JLudrCfa5Unt7lnHvcOfe1c26+pBslbZfnZXWbp6VSS3laApX8\nTp3unHPxfxXy+0Su5kGuNipVrsbraifpfyWdWOBL6jlXjxTHqsXvs3OuqB9JUyXtKul+SZfG/zdM\n0vi4vFL85h2m6AzxL+J45RzrmyVptqSxkn6cqHtQ0pmp5b+StEWWdbWXNEdSlyz1HSUtUPSLcEC8\n7HKJ+vGSPpK0gaQV4vhPcd1vJD0Ur6OtpC0U9d5XkPSNog+5fbwvn0rqEtctlrSyos7vq5LOl7Sc\nojPoUyTtEa//QknfSxoSL7uCpO0lfZFo3y2SRipKjjlx+zYt8HPbSdKMuNxG0tB4extK6iPJSbpd\nUqd422tKmhu/V20k7RbHq8breEHS1ZI6KDqT85WkO+K6hvW1i+NHJN2j6Exne0VXEbw2JdpZyn2e\nqgrlamKZdvG+98nTtrrO1cRn+WX8fiyStHs952pz91kB8jSx7F8l3d1a81TRH9FFcbvfV3TSr109\n52kL93mqKpirknpL+kLRCITvJR1JrpKrVZqrp0v6W1x2kvq24lzlWLWIfc6so5iFU0m+iaIDj1Xl\nJ/lhkl5KveYFZfkiVXR2doU4ec6WNFNSt7juKUm/TS3/qaSdsqxrF0lP5Wj7oYp+mdpJWj5u/9BU\nkv8xEf9O0uNx+ShFQ5I2a2K9EyTtL2mAol/UUZL2lLSzpDfiZbaW9EnqdWdLujWR5M/mee/Hxom5\nl6JflNMV/aIsl+t1iYRapuiP2zxJ/5F0SCop100sf6akkal1jFF0pqa3pCWSOiXq7moqySWtEW+3\ne65fvDLtc8VyNbFMoR2yus7V1GvXjF+zQYHL12SuNnefQ+RpvNxuig5Asrax3vNU0cHGOor+kG+q\naJjc2fWcpy3c51C5ulL8/g0gV8nVastVSWtJ+lDSinHslLtDVu+5yrFqEfvc8NPsuyw6596S9LCk\ns1JVPSVNS/3fNEUHKE2t53nn3GIXDaG5QtGHsENcvVBRzz5pRUU93KYUcgl4lHNuiXPuG0n3KXUp\nWNEvWYOvJXWOyyMVfch3x5cz/2xm7eO6ZxR9YAPj8nhJO8Y/z8TLrK3okucXDT+SzlE0N67B9Bxt\nl6IzGM855x5zzn0n6S+Kzmj8KM/rGnzmnOvmnFvJObe5c+7uVH1y+2tLOijV3u0VJW1PSfOdc4sS\ny6c/8wZrSZrnouFRzdHSfa5Urhar3nM1wzn3qaKx8ul8y6UWczWjOftcyTw1swGK/jAd6Jx7P0ez\n6jpPnXNTnHMfO+eWOefelHSxpANzvSal5vK0BPtc8e9U59w8Sf+Q9KBlnzdCruZGrvpKmat/lXSx\nc+7LAptV17kqjlWbdaza0tveXyDpGPkJ/JmiNyipt6IrW4Vwkiwuvy3pxw0VZraeop5ntgOIrElu\nZr0k/UzSoRbdXWymol/sQQ1jb3M2yrnvnXMXOef6SdpW0j6SDo+r00n+jH6Y5NMlfRwnWcNPF+fc\noNS+5/JGAcu0RHLd0xWddUi2t5Nz7k+S/iupuyXuXqToM27KdEkrZRnDXci+lGqfy52rxar3XE1r\np8InOxeiGnM1rTn7XPY8NbOfSPq3pKOcc0/leW1ry9OW/E5nW1+Das3T5u5zpb9T2ym6yUG2O5eS\nqy1DrjY/V3eRdGUityTpBTP7ZZbX1nuucqzaDC3qkDnnPlQ03vKkxH8/KmkDi25X387MDpbUT9EZ\nCo9FzwDYzsyWs2gi4umKxrc+Hy9yp6TBZrZD/IZeIul+59wPrpCZ2TqSOjjn3snS3MMUdeQ2lLR5\n/LOBpBmKxg7nZNGEyE0tel7BAkWXJpfF1RPj9W6l6BL424p+0beW9Gy8zEuSvjKzM81sBTNra2ab\nWHF3z7lD0gAz2zVuxymKxqq+E7fxNjO7rYj15dvWYDPbI27r8hbd+rOXc26apFckXRR/dttLGtzU\nSpxz/1U0pvY6M+tuZu3NbGBcPUvSyma2Yp52ZN3nQlUgV2VmyysapyxJHeL4B1pDrprZr8ysd1xe\nW9JlioYgN9TXXa7m2+dClDtPzWwTRVfuTnTOPZSrLa0kT/cysx5xeSNFc1QeTNTXY57m3OdCVSBX\n9zezDc2sjZmtqmgeyOvx1bL0ushVcjWrCvz930DRxYOG3JKi9+SBJtZV97kqjlWbdaxaigdDX6xo\ncp0kyTk3V1GP/A+KJtadIWkf59wcSTKzEWY2Il68i6Lb2M5XdFZiT0l7xetQnCy/VdQx+zzezu+y\ntGNv5b8EfJ1zbmbyR9II/fBScFNWl3SvogR/R9HZhJFxOxdJek3S2/GlSikaizzNOfd5vMzS+H3Z\nXNLHij6omxQNwWySRR3RhQ2xc+49RWOLRyh6z/aTtG9im2sp0UFoCefc9Hj95ygayzxd0ZjYhpz5\npaJf4nmKzj7dnmN1hyn6UnhX0ed4SryNdyX9U9IUiy4192zGPhejbLkaW6xomK3ifV2cpR11n6uK\n/rBNNLNFinLyPUVnKBvUXa4q/z4Xqpx5+gdFcylutsY7Rr2dpR2tIU93kfRG/Jk9qugGAJcn6usx\nT/PtczHKmatrKjp58JWkNxUdVA7N0g5ylVzNp5zHqp+n8kqS5jjnmjoGqPtc5Vi1eceq5lw5rypW\njpk9Kun/OedyJXrdsugZCJMUTeT8PnR7kB25Sq7WAvKUPK0V5Cq5WivIVXI1m6p5qFoJjJf0dOhG\nhBL3wguePIigxotcJVer33iRp+RpbRgvcpVcrQ3jRa6Sq02omytkAAAAAFBrSjGHDAAAAADQDHTI\nAAAAACCQmphDZmaMq6xizrlSPgulppGr1Y1cjZCn1Y08bUSuVjdytRG5Wt2qPVe5QgYAAAAAgdAh\nAwAAAIBA6JABAAAAQCB0yAAAAAAgEDpkAAAAABAIHTIAAAAACIQOGQAAAAAEQocMAAAAAAKhQwYA\nAAAAgdAhAwAAAIBA2oVuAHzrrbeeF5999tle/Mtf/tKLd91110x54sSJ5WsYAAAAqla3bt28eNy4\ncV7cqVMnL95www3L3iYUhitkAAAAABAIHTIAAAAACIQOGQAAAAAEwhyyKtCrV69M+dFHH/Xq+vbt\n68VLly714iVLlpSvYQAAoGQ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AABAIc8gKtPzyy3txejz2xRdf7MVbbLFFwetOjgdOfx7p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\nQc7jit6nbPN86jpX487ACc65NZ1z6yoalvWqc25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vs+/ruliUSpKoIKosGK3dgVFHvvHUv0SWzR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\n48cHdd27dw/iqVOnFlUHtESvXr2CePnllw/ijTfeOC4nc16S1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NeuXRB36tQp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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -539,10 +470,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Experiment 1.2 - エポック数を増加させてみる\n", "\n", @@ -553,9 +481,7 @@ "cell_type": "code", "execution_count": 13, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, + "collapsed": true, "scrolled": false }, "outputs": [], @@ -566,10 +492,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: エポック数5で再実験\n", "\n", @@ -580,9 +503,6 @@ "cell_type": "code", "execution_count": 14, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -591,12 +511,12 @@ "output_type": "stream", "text": [ "epoch iteration main/loss validation/main/loss main/accuracy validation/main/accuracy\n", - "\u001b[J1 600 1.13943 0.650443 0.745367 0.8584 \n", - "\u001b[J2 1200 0.561213 0.466212 0.86525 0.8854 \n", - "\u001b[J3 1800 0.449404 0.399955 0.883033 0.8957 \n", - "\u001b[J4 2400 0.399664 0.365667 0.89235 0.9025 \n", - "\u001b[J5 3000 0.370322 0.342746 0.89795 0.906 \n", - "Elapsed time: 77.952\n" + "\u001b[J1 600 1.1304 0.648665 0.75975 0.8636 \n", + "\u001b[J2 1200 0.563885 0.468085 0.86505 0.8885 \n", + "\u001b[J3 1800 0.452579 0.401701 0.882667 0.8976 \n", + "\u001b[J4 2400 0.402023 0.366207 0.89195 0.9027 \n", + "\u001b[J5 3000 0.371779 0.342531 0.89845 0.9073 \n", + "Elapsed time: 17.615\n" ] } ], @@ -607,10 +527,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 評価: テスト精度が向上していることを確認\n", "\n", @@ -619,10 +536,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: 誤分類が減ったか確認\n", "\n", @@ -633,17 +547,14 @@ "cell_type": "code", "execution_count": 15, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": true }, "outputs": [ { "data": { - "image/png": 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/81fSGs6orZ9o74bmz1rNCn+3HRN1/cxsUiJe2cyGmdlUM5tuZn82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\nuoEDB0bxPvvsE8UbbbRRrpzO/3QO33r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93PP/+8YDuyQK56tbBOHTt2bBTvvPPOufLTTz8d1bVr1y6Kk49YOPjgg6O69LiKl156qVHtbA7k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\nHdHvIX+b9Hnyv4UWy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6fMZrWK36lLoBb3/U1iSW97f778FySdxFPkV1JaT/kz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\nUnbORXWPPfZYJZqECjj66KPLnvbyyy+P4q+++qqpm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8yGmtlTZvaFpH2LbWTqi+Xu0l6W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\nu0j+S36y/NHrmv3bKfJfOp/JHy0tdpXOfvJfYu/JX9TmJ+E53pO/lO1H5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1sy/D59u3gnlrdZva4HVOa+gZsnaSTmjgvFl3SxolaUlJW0s6xsx2zUzTPbxxizvn\nziuxvJ0kPVWkfitJS0ta2cw2aWijm1uJD/9ASR0asNh/OucWl9Rd0s2S7jezHpW8do5OkjSpwnmq\nmac3hro1w/+/KbG8rSS96Zz7tr7K8IXeUpKTlP0+tBj15Ypz7sLU93VxScMkjXDOTa5g0d3DvPtL\nOtPMdijntfPSBOtclVx1zv05085jJH0m6d9Fltdqc1XS+5K2d851l9Rb0ieSrq9w0TWVq2r8Olcl\nV0Mn8S5Jv5W0hPxvwN1mtnShhZnZKpLaOec+LlC/mKQ9Jc2QdFATrUOTK5Ivlf7OZK0XcnWQpAMk\nHVnBa+eloetcrTwdIOlCSbuF+v9IuqfE8lrzNnW+/D74no1YdK1tU5tinRvcIbtU0u/MrHt9lWa2\nmZm9Go4mvGpmmxVZVl9Jf3bOzXPOfSpptKT+DWyX5DtkTxSpP0TSI2GaQzLtHmFm55nZi+GI3DMW\njnCbWWczuyscUZwe1msZC0cbU8t41sxeTcUv1B3VM3/27iEzm2Rm/zGz41PTnW1mD4bXmCnp0Poa\nb2bdJJ0l6eQK35eEc26+pFskdZG0ioXLDczsFDObKOnW8Fo7mz+TNt3MXjKzdVPt2MDM/h3ep/sk\ndU7VZS9fWMHM/hLWe4qZXWNma0oaLumn4UjI9ELtNbOV5H88L6pwVauSp2a2hvxG85fOuUlhmtdL\ntK1Ung6R9LKk27Rwnt5mZtea2ePh/f9X2BGpOwN8hfmjgzPNHwlf28xWCp/jImG6P5nZ16ll3mlm\nQ0O5m5ndbGYTzB9JPd/CkVTzZzVfDK8xRdLZxVbSzCysy+0l3o96Oef+Kek9SWuH5Tkz+7WZfSK/\nIykzWyN876aaPzq+T+r1lzJ/5Gqmmb0iaZVM+5IjtGbWxcz+z8w+Dzkx2sy6yP8QS9L0kKs/bYZ1\nzmubeoikO5xzrsjyWm2uOue+cs59mfrTPElFj9gXUiu52gTrXK1cXV7SdOfck857XNJ3yrwvGT9T\n8VzdU9J0Sedq4Vw928zuN7M7Qq6+Z2Ybp+pPCTn2TfjsBpnfL5htC/YTfm/+7NsSIT7PzP4Yyp3M\n7DIz+8LMvjKz4eEzS34zLfMbnGlfQ35n6uWc+1DSC1qQq2PDa78t6Tsza2/F91e6hO/2NPNXG0UH\nt8PyBodyO/NXEHwa3rvXze8T1OXqWyFX923ida5Wnu4s6QHn3HvOuTmSzpO0Vd12roDWvk29TtKr\n2bpK1dg2tfHr7Jyr6J+ksZIGS/qLpPPD334hfzRY8kcIpkk6WFJ7+R7uNElLFVjehZIulj/js7qk\n8ZI2CXV95Y8Q/Df8/VZJPYu0rYOkyZK6FqhfVNJM+S/DnmHajqn6EZI+ldRPvrMyQtLFoe5Xkv4W\nltFO0kbyR+26SPpeUs/w+l+F9nYNdbMlLSXf+X1d0pmSOkpaWf7I9PZh+WdL+kHSz8O0XSRtIf+D\nlF6Ha+WPENW9N+3L/NwOlTQ6lNvLHzn6RlI3SQMkzZU/qt8pvPYGkr6W9JOwvoeEz75TaP/noR0d\nJO0V2l6XDwMkjQ/ldpLeknSFpMXkO25bZNuUaucBkt7O/O0xSbunl9vC8nSIpHfCOk4O5T1LtO9D\nSasXqR8jf/Zio/DeLpOqu03SFEk/Dm3/s6R7Q932Ic+6SzL5o4rLhrovJG0Uyh/J59+aqboNQvlh\nSTeEz2tpSa9I+lXqM5sr6bjw2l0k9ZHfyelTz3psJelbSYuX+bn1Vcjr0P7NJc2SNCjUO0nPhs+v\nS2jjOEmHhXk2CJ/BWmH6eyXdH6ZbW/67OTr1ek7Sqqnv1ghJy8nn7Wby+Z60KTVfU67zWFUpVzPT\nrSi/M75SW87V1N/mh/Yf2tpztRHrPFbV2662kzRSfoe8nfxv43hJixVp31MKv6kF6v8u6RJJy4Tc\n2ChVd7b8b/lO4fUukvRyqFs9fHa9U5/9KqE8SmF7L+kZ+X2IHVN1u4fyFZIeDe9RV/n9iYtC3QBl\nfoPD36drwe9lxb8zmXVP589akiZKOiL1ub4paQX5XC21v3KxfIduyTDPu0r9NtflSSifFNq6uvz3\nZL26fEi3KTVvo9dZ1c3TyyRdl5p2ubBeu7XVbWqYtn14H/pWkKN9VaPb1IauczR/xTMsSPS15U/7\n/0hxoh8s6ZXMPP9UgQ1+WOkx4UN2ks5J1S0uaeOwkstIelDS00XaNkjS34vUHyR/2Vt7+Y7BDIWN\nZagfIemMVHyMpKdC+XBJL0lat57lviBpD0mbym+Q75e0g6SBCp0L+Y7NF5n5TpN0ayifLWlUifd+\nY/mNZvv6kqTEvIeG93h6SNiXtWCDOUDSHEmdU9NfL+m8zDI+kj9dv5WkLyVZqu4l1d8h+2nde16g\nTaNLtHt3SU9ml9vC8vT08Lez5X+8tpbfIV+zwLJWkTSmSNu3kN8I9wzxh5J+k6q/TdJNqXgnSR+G\n8jaSPg65uEhmuXfKX/7TK3yWl0g6StJKIS8Wkf+e/U9hhyDMt7+kf6Q+sy8Ktb2edblZ0m0VTF+X\n19PlfyA/kHR8qt5J2iYV7yvphcwybpA/i9wuvI9rpOouVD0b5LDus+Uv6SnUpnK/a5Wuc9VyNTPd\nH+peo0jb2lKuLinpFEmbtqFcrXSdq5qrko6Q35bOld8x+1mRti0qv6PaqUB9H/kO6PohflrSlan6\nsyU9l4rXkjQ7lFeVP0A5WFKHzHLPk3SV/O/yRPmDnRfL72PUHZA1hbN7qfl+Kuk/oTxAmd/getpf\n0e9MPfM7+QPS0+Q7jecrfO/C53p4atpS+yufSdohVfdLFe6QfaQCnRPV0yFrinWuZp6G15ksaV35\nTsINIc/2L7CsNrFNVeM6ZDW5TW3IOqf/Nfgui865d+XPXGQH3PWWP3uS9rl8rzNiZkvKH9E6V37j\ntYKk7c3smPAa3zrnXnPOzXXOfSXpWEnbmVnXAs0q53LF+8Pyvpf0kDKng+U3qHVmyXcKJZ/MT0u6\n1/zAvUvMrG4c10j5DepWoTxCfsOxdYglfzS6dzhtPN38JXqny38B6owr1PBwqvk6SSc45+YWWcdi\nXnbOdXfO9XTObeqcey5VNym8J3VWlHRipr0ryH++vSX914UMDLKfeZ0VJH3ekDabv97/EknHl5q2\nkGrkqfwXue4M4Rzn3EhJ/5C0XYFm7STpySLNPkTSM27B+KO7VWaeOueel3SN/NGer83sxrrLZxTn\n6SjFefqC85eyrih/FHBC6nO/Qf5IWZ2CeZpmZotK2lsNu1yxp3Ouh3NuTefcVZm69OuvKOknmTw9\nUP5H50fyG8j09IXytKf8Z/tpA9qaaMw6VylX08q5rLJN5Gpoz1T59+MRq2x8Qk3mqtTwda5GroZL\n3i6Rz4O6nfGbzGz9As0aJOkl59z/CtQfLOkD59ybIf6zpANSv+PSwrna2czaO+fGSBoq3zH42szu\ntQU3bqjL1Q3lz+A8G9q6qfyO9xT5z3dRSa+nPvunwt/rZH+Dsyr9nanPhiFXV3HOnRG+R3WyuVps\nf6W3ystVyX+uDc3VRq1zlfZTn5PvADwk3xEcK3/1UaEbkLWZbWoj1Ow2tTEae9v7s+QHhaaT+Ev5\nNymtj/ypwqyVJc1zzt0ROknj5U8x7lTg9eo6AIXaXbBDZmbLyx89OMjMJpq/TnsvSTtZGXdCc879\n4Jw7xzm3lvzRkp3ld2ikhTtkI7Vwh2yc/NGw7ql/XZ1z6XVNd3CylpA/Q3ZfaHvdtarjzWzLUu0v\nQ/a1x0m6INPeRZ1z90iaIGk5M7PU9H0KLHecpD4FfuyLra8krSZ/dOKFsM5/kbRs+Pz6lpg3rbnz\n9O165im2bsXytIukfSRtncrT30haz8zWK7LMBS/s3FXOuY3kj/D2k79kRPK5uKV8ro6Uvw5+cy2c\np/+T3yDWfe5LOOfSY5BKfW51dpc0VX7D35TSrz9O0shMni7unDta/szsXPkf0DqF8nSy/OVK9V33\nX+76So1f56psU81sc/mdkgdLtKet5Gqd9vI7H0uUmrBMLTlX6zR0nZs7V9eXv2rkNefcfOfcq5L+\nJX9Goj7ljMtZOZWrl8vviBXa34g45+52zm0R1s/JX14o+atDVpf/7o90zr0f1nknLcjVyfKdi/6p\nz76b8zcuSF6iRBMq/Z2pVDZXi+2vTFB5uVq3rGLjqYppinVu9m2qc+5a59xqzrll5Dtm7eUv46xP\nW9umNrVa2KY2SKM6ZOGo0X2Kz2A8IamfmR1gfmDovvKJ8Vg9i/hYfhziAWa2iJn1kj8F+bZ8xU/M\nbPVQt5T8ZQEjnHMzsgsyf+OHTs65Dwo09+DweqvLb+jXl0/W8fKnZIsyf/OOdcLgxpnyR23qji7V\nbZB/LH8a/D2FnrsWDAh8RdI35gfOdjE/0HVtK/9OjzPkd6Dq2l63MdhI/keq7qYkZ5e5vFL+JOmo\n8BmYmS1mZj8LZyf/KZ/ox5tZBzPbQ37d6/OK/Mb74rCMzmFnUPLj7ZY3s44F5n1X/stUt86/CPOs\nr8qOfDdrnsp/xl9IOi0sa3P5y1Wfzi4onEH5sfxRvvr8XH5cz1qp9V5T/rLYIQXmSS9/k/CZdZC/\nROZ7hTx1zn0iv1NwkPxGbKb8+7mnwgbZOTdB/rLb/zOzJcL6rmJmW5d67XoconpuGGF+8PyIBiyv\nPo/Jf44Hh1zsEN6DNZ1z8+Q78Webv3XyWlr4SKOk6EY3l5sfzN7OzH5q/pbDk+Tfw3KeV1LvOper\nCrmabudDzrlvCrWlLeSqme2R+o35kfxO+hvhzFGrzNVS61yuKuTqq5K2tHBGzMw2kN+hrG8nXZJ2\nlPR4gXX+qfzO1o+1IFfXlj/7UE6urm5m24T3+Hv53KzL1Vny43Z+rQU7ti/JXw5Wl6vz5X9Tr7Bw\nl0gzW87Mti/12ilFf2fM33BhbAXLK6bU/sr9oR09zB/sPq7Ism6SdJ6ZrRb2JdYN+3OS/04X266W\n/dtaSBX2UzuH98bMrI/8XSGvdM5Nyy6oLWxTQzs6y4+/kqROIa6ra3Xb1LBeBde5bK7CaxyVujY4\nxCvIf+gjUn/bQn4DNSP8v0Wqbrik4al4G/kN7wz507B/krSoW3Dt6n/kE2uCpDsk9SrQrmMlXVOk\n3R9KOq6ev58s6bVQHiHpF6m6Q7XgRhj7y193+518El+leJDfPxWusw3xg/KXR6Rfq7f87VAnyl8f\nmx7HdbakuzLTbynp2wLr01cLDzT8VNK2BaZP1qWeugGqZ2yW/Di4V+Wv550g6QGFG6bIn617Q/7U\n/H3h30JjyELcR9Jf5a/vnyzpqvD3jvI/oFMlTQ5/O1DSe5W0M+88DfX9Qw58J39b6d0LtGtnSY8V\nafdTkv6vnr/vE163vfw15OfX977IX7bztvx19pPlL8tZPDXtPQrjFkJ8WfgM26X+1k1+DOH4sL5v\nSNqvUB6Fz/dbxTcNWE6+077Q+AD5MVYXlJvXmXqXXab8wZDH5TecUyQ9rwXjRH4kv9GeKb+TcZ4K\nD+rtIumP8kdJZ8jvDNQNrj83LH+6/KVIFa1zC8vVzmE9BpVoV6vPVfkdybrfmInyR75XbM25Wmqd\nW1iuHis/ducb+XFLJxZo19qS3i3S7uHyByCyf/+x/BmBJZX5DVZ8g4F1w2fyjfzv1WMKN/gI014k\nv7PbKdVup/hmDJ3lx7B8Fj7jZHyMCv8Gfytpy1Rc8HdGfkzon4u8BwvlY6HPNfyt2P7KovL7Y9ND\nO05S4TFk7SSdEXLum/B5Lx/qjpLft5guaZ9K17kl5Kn8DTTe1oLv00VKbaMy7Wr129RUrkX/UnWt\nbptaap3L/WdhQTXPzJ6Q75AVu2Sh1QpHqe53zhW7dStyZmbXye84XJd3W/JiZm/Kdwam5N0WFEau\nkqu1wsxOlr/MqsGPg6l1ZvaM/BjzQlcJIWdsU9mmFtOSHqzWWCNU+DRwq+f8dc10xlq+N+Vvd9xm\nOecKDcpHy0Kukqu1YqzI1Upu7oF8sE1lm1pQqzlDBgAAAAC1prF3WQQAAAAANBAdMgAAAADISU2M\nITMzrqtswZxzVnqqtoFcbdnIVY88bdnI0wXI1ZaNXPXI05atFvKUM2QAAAAAkBM6ZAAAAACQEzpk\nAAAAAJATOmQAAAAAkBM6ZAAAAACQEzpkAAAAAJCTmrjtPQAAQEu09tprR/F5552XlH/+859HdUOG\nDIniu+66Kyk7x53TgbaKM2QAAAAAkBM6ZAAAAACQEzpkAAAAAJATq4Vrls2s5TeyDXPOWd5taCnI\n1ZaNXPXI05aNPF2gJeZqx44do3jUqFFR/OMf/7jsZXXt2jUpf/fdd41rWA7IVa8l5ikWqIU85QwZ\nAAAAAOSEDhkAAAAA5IQOGQAAAADkhOeQAQAAlGnHHXeM4uyYsVdffTUpX3/99VHdCSecEMW1MI4f\nSDvllFOi+KKLLorijz76KIrXXHPNZm9Ta8AZMgAAAADICR0yAAAAAMgJHTIAAAAAyAljyFLatWsX\nxZ06dUrKs2bNqnZz6jVo0KAofvbZZ5Pyhx9+WHTaCRMmNF/DALR5gwcPjuL99tsvig877LCC8y6y\nSHx8cP78+WW/7r333hvFxx13XFKeOnVq2csB6tO3b98oHj58eNHpx44dm5Rvu+22qC4bA7UmO+4x\nG1ey7cYCnCEDAAAAgJzQIQMAAACAnHDJYspPf/rTKL7nnnuS8oABA6K6Tz/9tBpNUocOHaL4tNNO\ni+L0qeLVV189qrvsssuieMiQIUl53rx5TdVEAG3Y0KFDk/If/vCHqK5bt25RXOwW39nLXCq5Hfi+\n++4bxaNHj07K2duOA5Vad911o3iZZZaJ4mnTpkXxLbfc0uxtAtC6cIYMAAAAAHJChwwAAAAAckKH\nDAAAAABy0qbHkHXs2DGKTz/99Cju3bt3Uv7jH/8Y1f3617+O4i+++KKJW+f1798/igcOHFj2vNlb\nTp944olJeeLEiY1rGHK16qqrRvH++++flNdZZ52oLnvb71/96ldR/PDDDyflnj17RnV33nlnwTak\nx1hK0qabbhrFK620UhTff//9SXnGjBkFl4vakh5PM2fOnKhu0qRJUfz0008n5QsvvDCqy47DyVpq\nqaWS8rvvvltxO4GGOuigg4rW33333VGcznM9apZCAAAgAElEQVSgNVh00UWTcnY/AU2DM2QAAAAA\nkBM6ZAAAAACQEzpkAAAAAJCTNj2GrE+fPlG8/fbbF5x2p512iuLDDz88is8+++wma1dar169Gjzv\nP/7xjyiePn16Y5uDFiL7zLxK8i/7vKfddtut4LSbb755wbqjjz46irPfpx49ekTxtttum5Sz49hK\njR9Cy5V+NmL2OYlNabnllmu2ZQNZ6e1ZettVn/vuu6+5mwPk6owzzkjK6fsRoOlwhgwAAAAAckKH\nDAAAAABy0qYvWWyMNdZYoyqvc9hhh5U97eTJk6P43HPPjeLvv/++SdoESNJ6661X0fR77rlnUn70\n0UejurvuuqtJ2oTWI/toh/TjGbKyt8HnEjI0VvqxON26dcuxJUD+Tj311KTsnCs67cUXX9zczWmV\nOEMGAAAAADmhQwYAAAAAOaFDBgAAAAA5adNjyLJjFFqCxRZbLIqXXXbZsufN3uZ+1KhRTdImtDx3\n3313FI8cOTIpP/7441Hd22+/HcWdOnWK4t133z0pv/TSS1HdZptt1qh2AuXKbuuyt9BP34Z81qxZ\nUV16fKIkTZ06tYlbh7bmhBNOyLsJQG7uueeeKDazpJwdQ3bMMcdEcXb/BOXhDBkAAAAA5IQOGQAA\nAADkhA4ZAAAAAOSkTY8h23vvvavyOtlnlmXHiaXbseKKK0Z1m2++efM1DDVr3rx5UfzFF18k5d12\n261gnSS1bx9/7TfeeOOkPGbMmKguO85yyJAhSfmII46ooMXSW2+9lZSfeeaZiuZF65PNrauvvjqK\nt9122yhOj1uYM2dOVDdo0KAoTo93yOY0UI7s73RLsPPOO0fxWWedlZTT21dJOuecc6J43Lhxzdcw\n1Lz+/ftH8brrrhvF6e3vJ598EtW9/vrrUZzdP0F5OEMGAAAAADmhQwYAAAAAOaFDBgAAAAA5adNj\nyBpjpZVWiuIrrrgiinv06JGUf/azn0V17dq1i+Ju3bo1SZveeeedJlkOattnn31WtH7u3LlRPHr0\n6ILTTpw4MYoHDBjQ4HbNmDEjKX/99dcNXg5qR8+ePaP417/+dVI+9NBDo7r0c8akhZ91k5bdZl53\n3XVRnH5OWfZ5OqeffnoUT5kypeDroO1Kj0NMl6v1mpL085//PIqz48LWWWedpJweCyxJAwcOjOJt\nttkmKX/++eeNaidah/S4sZtvvjmqy977IO3hhx+O4tdee61pG9ZGcYYMAAAAAHJChwwAAAAAcsIl\niw2UvTwgGxeTvSyh2KU5pTz//PNJ+ZJLLmnwcoD6LL300lGcvdyrmI8++iiKK71NPmrfBRdcEMXF\nciB7K+WRI0dG8bPPPpuUt9tuu6huyy23jOJ+/foVfM0NNtggirOXlE+aNKlgG4vJ3jZ67NixUfzd\nd981aLnIR/p3uTG/0ZXIXqL40EMPFZ2+WLuywyrS35/s43QamvOobelHj2yyySY5tgQSZ8gAAAAA\nIDd0yAAAAAAgJ3TIAAAAACAnjCGrcd9//31S/uGHH3JsCVqj3/72t1HcqVOnsuf929/+FsWlbseP\n1ufVV1+N4vR4ruzt6E844YQonjp1asHlPvjgg1G85JJLRvGvfvWrpHzeeedFdRtuuGEUZ2/ZnL49\n+KefflqwDVJ8G/+VV145qqtkvCVanmnTplXlddK5m72tfVb2cSG33357Uv7ggw+iutNOOy2KV1tt\ntaR8wAEHRHVXXnlleY1FTcs+hiR7+/pi0mNgv/jiiyZrExbgDBkAAAAA5IQOGQAAAADkhA4ZAAAA\nAOSkzY0h69WrV1I++OCDo7rs88GaS7GxXh06dIjiUs8se+GFF5quYWjz1lhjjSjOPhenmPR4Rkl6\n5plnmqRNqF033XRT0bipZMebXXTRRUn5gQceiOqee+65KF5hhRWieJ999knK06dPj+qy48Lmzp2b\nlAcPHhzV/e9//yvVbLRg119/fVL+zW9+02yvc9ZZZyXlddZZJ6r78MMPo3jHHXeM4uyz7tKyz99L\njyFbd911K20mWoHZs2dHcfo5d3vssUfReSdPnpyU33///aZtGCRxhgwAAAAAckOHDAAAAABy0uYu\nWZw4cWJSPvDAA6O6a6+9NoqXWmqpBr9O+va0o0ePjuqGDRsWxelLJ4899tioLnuJYtbbb7+dlLO3\nNM1ebpO+vAaoz6OPPhrFq6yyStnzZnP373//e5O0CWiMMWPGRPEZZ5wRxbfddlsUp2+Tn71kfMSI\nEVGcviys2OVjqD3pS7DTl2tJC//WZi97Lebuu++O4r333rve15SkHXbYIYo///zzsl+nmPHjxzfJ\nclBb0reul6S77rorKZe6ZHHFFVdMytm8HDlyZBO0DpwhAwAAAICc0CEDAAAAgJzQIQMAAACAnLS5\nMWRp2dshP//881Gcvr525ZVXjuo++OCDKP7rX/8axffdd19Szt5qNCs9Vi07DqeUG2+8MSnPmzcv\nqhswYEAUN9X156ht7dq1i+IjjzwyKS+//PJlL+eNN96I4qeeeqpxDQOaQefOnaO4ktvRp38DJOm4\n446L4pkzZza8YWjR0uOsbrnllqju5JNPjuJrrrkmiqdNm5aU33333aguO/4mvT0+7bTTorpSv9lL\nLLFEUt5vv/2iuuwt9P/xj38k5YsvvrjoctE6Ze+LcPvtt5c97yuvvJKU0+Ns0XQ4QwYAAAAAOaFD\nBgAAAAA5oUMGAAAAADlp02PIsqZMmRLFO+64Y1VeN/0ssUott9xySTl7HTtjxlCfo446Koqvuuqq\nBi0ne/35hAkTGtwmoCn95Cc/ScqXX355wbpSXn755ShmzFjbNHz48CgeMmRIFPfq1SuK088a++ab\nb6K67t27F3ydyy67rGg7Nt544yhOP1Nv1113LTpv+nmopca1o3XaZZddorhr165lz/vII48k5Vmz\nZjVZm7AAZ8gAAAAAICd0yAAAAAAgJ3TIAAAAACAn5pzLuw0lmVnLb2QjDB06NCn/3//9X0XzPvzw\nw0n58MMPj+qqNd7BOWdVeaEaUAu5+vTTT0fx4MGDC047Z86cKE4/f+f666+P6ubOndsErWte5KpX\nC3laif333z+Kr7766qRcbMxOKUsvvXQUT506tcHLqgR5ukBLzNXsOMT0+Bpp4bwp14cffhjFb731\nVhTvtNNOUVxsDFD6OyDF2+5KnsVXCrnqtcQ8zco+P7dfv35lz5t9fmmtqYU85QwZAAAAAOSEDhkA\nAAAA5ITb3udg0UUXjeITTzyx7HmnTZsWxWeddVZS5pbMaGrZfMteBgNUS/v2C36uBg4cGNVl8zL9\nCIZDDz00qrvvvvuiuHPnzlE8atSopFytSxRRW/71r39F8UUXXRTFv//975Nyz549y17ummuuGcVr\nrLFG0eknTZqUlC+99NKoLvs4k+zl52j9Lrjggiju27dv2fNOnz69iVuDUjhDBgAAAAA5oUMGAAAA\nADmhQwYAAAAAOWEMWQ7WWmutKO7du3fZ8z744INR/N577zVJmwCgJTvssMOScvaRC59++mkU7733\n3kn5yiuvjOo6deoUxdlHv2THXQClZHPsxhtvTMq//vWvo7oePXpE8e9+97uk3LFjx6juu+++i+Ls\nuLAHHnggKb/55psVtBhtwTLLLBPF2fwq5mc/+1lTNwclcIYMAAAAAHJChwwAAAAAckKHDAAAAABy\nwhiyHKy66qplT/v+++9H8W9/+9umbg5auR133DGKN9tss7Ln/fjjj5u6OUBZ+vfvH8XFxnZlx5QN\nHz48KW+xxRZRXXbMWPb5TSNGjKikmcBCZs+enZQvu+yyotOmn1kGoO3iDBkAAAAA5IQOGQAAAADk\nhEsWc/D444+XPe2cOXOieNasWU3dHLRy3bt3j+JFF1204LTz58+P4mHDhjVLm4BSso8HWXLJJQtO\nm70szMyScqlLFE8//fSGNhEAWqyLL744ih966KEoPuWUU5LyqaeeGtXxSKXq4wwZAAAAAOSEDhkA\nAAAA5IQOGQAAAADkhDFkOciOC3v99deT8kYbbRTVvfTSS1VpE1qvvfbaq+xps+Mbn3zyyaZuDtDs\nRo0alZQfeeSRqO6aa66pdnMAoOrGjBlTNOb3vWXhDBkAAAAA5IQOGQAAAADkhA4ZAAAAAOTEss9o\naYnMrOU3sg1zzlnpqdqGlpirgwYNiuIHHnggirt165aUs2MY33zzzeZrWA7IVa8l5ikWIE8XIFdb\nNnLVI09btlrIU86QAQAAAEBO6JABAAAAQE7okAEAAABAThhDhkarhWtzq6UWcvXpp5+O4sGDByfl\nZZddNqr7+uuvq9KmaiFXvVrI07aMPF2AXG3ZyFWPPG3ZaiFPOUMGAAAAADmhQwYAAAAAOeGSRTRa\nLZwKrhZytWUjVz3ytGUjTxcgV1s2ctUjT1u2WshTzpABAAAAQE7okAEAAABATuiQAQAAAEBOamIM\nGQAAAAC0RpwhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAh\nAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CED\nAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMA\nAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAA\nAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAA\ngJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACA\nnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc\n0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQ\nIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhQ5Mws9vM7PxQ3tLMPsq7TUB9zOxsM7sr\nlPuY2bdm1i7vdgFp5ClqBbmKWtDS91Mr7pCZ2Vgz+9rMFkv97RdmNqIhDTCzzczsFTP7xszeNrMt\nMvUHmNnnZvadmf3VzJYssbyfmtlLReoXDxuLJxvS3jyZ2W/M7DMzm2lmX5rZFWbWvsx5DzWzeWHd\nZ5rZm2a2c3O00zn3gnNu9TLbNLrENI1Z56rlqpkta2aPhjY6M+tbxvJ6m9n4IvUW1v39hrQ3b2a2\nspk9Ft6vyWZ2SZnzDTCz+SFXvzGzj8zssOZoo3PuC+fc4s65eWW0qeBnlZqu4nWucp7+zMxGm9l0\nM5toZjeZWdcSy2u1eWpmncI25Uszm2Zm15lZhzLnrck8beQ6VzNXB5rZOyFXp5jZw2a2XInlteZc\n3S/k2IzwGdxuZkuUOW+t5mqD1rmaeZqZ7hbzv/+rllhea95PHWhm/wif2dgK563V/dQGr3NaQ8+Q\ntZN0QkNftI75ztXfJF0qqbukSyT9zcx6hPr+km6QdLCkZSTNknRdicX+TNITRer3lPQ/SduaWa9G\nrUAzsvqPLj0qaUPn3BKS1pa0nqTjK1jsP51zi8u/1zdLur/uvc68dlkdnipp7DpXJVclzZf0lHx+\nlWunME8hW0laWtLKZrZJxY2ukvryxcw6SnpW0vOSeklaXtJdFSz2y5CrS0g6RdKfzGytcl47L41c\n52rlaTdJ50vqLWlNScuFaYtptXkq6VRJG8tvW/pJ2lDSGRUstubyVI1f52rl6vuStnfOdZfP108k\nXV9isa05V1+UtLlzrpuklSW1l/8ul6sWc7Ux61ytPK2bbgtJq5S52Na8n/qdpFskndTAxdbifmpj\n19lzzlX0T9JY+Q36VEndw99+IWlEaprNJL0qaUb4f7MCy9pZ0nuZv30s6YhQvlDS3am6VSTNkdS1\nSPv+Lb8DX6j+eUkXhOl+V8+6/U7S26Ht90nqHOp6SnpM0vSw7i/Id2gPk/S31DI+kfRAKh4naf1Q\nXkN+h22qpI8k7ZOa7jb5H5sn5D/cwSU+h6UkPSfpujI/t0MljU7Fi0ly8j/MAySNl99IT5R0Z+rz\neTOs80uS1k3Nv0F4D78J79O9ks4PdQMkjU9Nu4Kkv0iaJGmKpGvkdwa/lzRP0reSppexDpWuc9Vy\nNfW39uF97VtG+/4iaY8i9bdI+nOY7ppM3QhJ58n/YH0j6RlJPUNdZ/mOwJTw2b0qf0BjoKR3Ust4\nVtKrqfgFST8P5d6SHgqf2X8kHZ+a7mxJD4bXmCnpF/W0/ZeSXijnc6pn3ih/wt8mSdpLUt/w/h4h\n6QtJo0L9piFHp0t6S9KA1LwrSRoZ3qdnQ/7dFerqltc+xEtKulXSl5KmSfqr/Hdltnyn+9vwr3dT\nrXMeeZqq2yOdE20wT1+TtHcqPkDSuFaep41Z51xyVVInSRdJer+t5mqmrYtLukPSE605Vxu6ztXO\nU/nf/TckrRvWfdUS7Wv1+6mSBksaW05+puY5VDW8n9qQdY7mr3gGnwyDQ8PrVixJdPkv3zT5s1rt\nJe0f4qUKJPr7mb99IumKUH5E0imZ+m8lbVSgbctK+q8kK1C/ovwGYC1JJ0p6u551e0V+w7mkpA8k\nHRXqLpI0XFKH8G9LSSZ/1GZ6SPrekj6v+5BD3bRQt1hI+sPC+7KBpMmS1kol+gxJm4fpO8v/UGbb\neID8BtuFxFmv0kQPr39CSNJuITHnShom/8PXJbTva0k/kT/SdEh4fzpJ6hjW8zfhvdhL0g+qJ9HD\nvG9JuiK8B50lbVHfly+1fk21zmNVpVxN/a2sDll43yarwMEFSYuGdd5J/mjZZEkdU/UjJH0qf4S7\nS4gvDnW/kj+it2h4/zeSPyraRX7j0jO8/lfy35euoW62fKd3EUmvSzozfNYrS/pM/mi15HcefpD0\n8zBtF0lbKLWxkt/xuVPSk6HtIyStU+bnls6fRSTtHl5vdS34sb8j5FMX+bM8U8J7tYikbUP8o7CM\nf0q6XD53t5LP+0I7D4/Lb7h7hPdo62ybUu1sknVWDnmaqvujpHvbcJ6+pniH48CQD91acZ42Zp3H\nqoq5KqmP/O/r/PDeHtpWczX1Wc4In9d3krZrzdvUhq6zqp+nJ0m6MpSLdsjUBvZTw7SN6pCpxvZT\nG7rO0fwVz7Ag0dcOH8yPFCf6wZJeyczzT9WzIZXfUE2X/zJ0CG/mfEk3hPq/1yVaap7/KnWkJlN3\nhKSbi7T9DElvhvJy8r3eDTLrdlAqvkTS8FA+V76DuNAXLSTwhpL2k3Sj/JdljZDUj4Zp9lXm6Ln8\n5ZhnpRL9jgo+h9Xkj+b1qiDR54b3e7KklxWOboTEnKNwlCX87XpJ52WW8ZGkreU3wF8qtUGRPzJR\nX6L/VL4T1b7Yl6+Z1rlquZqartwO2SBJfy9Sf1Dd+ya/cZghafdU/QhJZ6TiYyQ9FcqHK3OkKDXd\nC/JnRTaVPwJ8v6Qd5I/0vh2m+YmkLzLznSbp1lA+W+EoapH2PyO/8dtRfsN4kvwOSMdi86XyZ74W\nHOV7U9J+oa5veH9XTk1/isLRstTfng6fUR/5vF8sVXe36tl5kP+hnC+pR4E2jW+Odc4jT8O028r/\nEPdrw3l6vvwZkR/JX2b6r5APy7biPG3MOueVq0uG92/TtpqrmXmXC/MU/O62hlxt6DpXM0/lz6yM\nUTigodIdsjaxn6qGd8hqdj+1Ieuc/tfguyw6596VPzV6aqaqrved9rl8YmWXMUXSbpJ+K39kaQf5\nS9LqBnp+K38UKm0J+R5zfXZS8etyh8hfriDn3H/lT7kfkplmYqo8S/40ueSvHx4j6ZkwKDi93iPl\nP9ytQnmEfEJsHWLJH/X4SRigPN3MpssfmUxfHzyuSNsjzrlPJL2n0mPq0l52znV3zvV0zm3qnHsu\nVTfJOfd9Kl5R0omZ9q4g//n2lvRfFzIwyH7mdVaQ9Llzbm4F7axXA9e5WrlaqVK5eoik+51zc8Pn\n8pDKz9U75X887zU/cP+S1KD9cnO1d+azP13+Ep06pXJ1tvxG7Enn3BxJl8n/sK1ZYr46X4ZcXdI5\nt75z7t5Mffr1V5S0d6a9W8jvDPSWNM05911q+mK5OtU5N63MNmY1ap2rmadmtqn8TtRezrmPizSr\ntefpBfKXGr0p/2P9V/lO9Vcl5qtTi3na2HWu+jbVOTdV0u2SHikydqS152oi7L88JX8JVrlqMVcT\nDVnnKuXpHyWd65ybUWaz2sx+agPV9H5qYzT2tvdnSTpScRJ/Kf8mpfWRP7O1EOfcSOfcJs65JeWP\nWqwh33OX/M73enXTmtnK8qciF9qBCBvHreWvfV2ImW0mf4blNPN3F5sof9TqgHIGBzrnvnHOneic\nW1nSrpJ+a2aDQnVdom8ZyiO1cKKPkzQyJFrdv8Wdc0enX6ZUOzLaq/xBpKVkX3ucpAsy7V3UOXeP\npAmSljMzS03fp8Byx0nqU+A9rnR9pYavc3PnaqUKbpTNbHlJ20g6KJWre0naycx6llqwc+4H59w5\nzrm15K+T31l+Iy8tvFEulKv/yXz2XZ1zO6VfpkQz3i5jmsZIL3uc/NHcdHsXc85dLJ+rPdJ321Lx\nXF3SzLqXeL1CmmKdmz1PzWwD+ZvlHO6c+3uJ9rTqPHXOzXbOHeucWy5s26dIet05N79U+8vU4vK0\nCde52tvU9vI35Ch0l71Wnav1aMrf/+zrt4hcrUdD1rm583SQpEtTeSVJ/zSzA7LLaaP7qU2pVvZT\nG6RRHTLn3Bj5a4PTd717QlI/87erb29m+8pfC/tYfcswsw3MrIP5W5leJj+4+OlQ/WdJu5h/XsBi\n8qdj/+Kcq+8M2RbylwfMLNDcQ+S/BGtJWj/8W1v+OtQdS62rme1sZquGD3eG/Gnkuh+wkfKXJ3Rx\nzo2Xv4RhB/mj42+EaR4L78vBYX07mNkmZlbuGYO627YuHcpryV/y8PdU/QgzO7vc5ZXwJ0lHmdlP\nzFvM/C2zu8qf2p8r6fiwHntI+nGB5bwi/8W4OCyjs5ltHuq+krS8+bvT1avUOperCrkqM+ssf8BA\nkjqFuL7lrCSpk3PugwLNPVj+oMPqWpCr/eSPyO1fal3N34J1HfN3QJopf/S7LldfCsv9sfwlG+8p\nHBWTNCpM84qkb8zsFDPrYmbtzGxtq+yuZHdJ2tTMBod2DJW/BOGD0MbbzOy2CpZX6rV2MbPtQ1s7\nm7+l8vLOuc/lx8ycY2Ydzd8Ja5f6FuKcmyA//us6M+sRPuutQvVXkpYys24l2lFwncvR3HlqZmvL\nH2U+zjn3t2JtaQt5ambLmb9Vupk/a/gH+R24uvpWl6el1rlcVcjVPcxsdTNbxMx+JD9m6Q3nz5Zl\nl9MWcvVAM+sTyivKn+lM//63xlwtus7lqMJvfz/5Ewd1eSX59+PhehbVFvZTFzG/79PBh9bZUvt4\n1jr3U4uuc7ma4sHQ58oPgpOUnN7dWX4w4hRJJ0va2Tk3OTR8uJkNT81/svxOyzj50+G7p5b1nqSj\n5DtmX8sPlD2mQDsK3kY0vFH7SLraOTcx9e8/8pciZE8H12c1+dPU38p/0Nc55/4R2vlx+PsLIZ4p\nP3bkRReexRE6kdvJX7/7pfwp57rBifUKG6P3Un/aXNI7ZvZdWNcn5C97qLOC/NiARnPOvSZ/VOka\n+XEmY+SvpZXzl2PtEeKp8tcd/6XAcubJb5xWlb+D0/gwveTvJPSepIlmVpcfla5zJZotV4PZ8nkg\nSR+GuD6lbnl7iHx+pXN1ovxg3XJytZf8HbtmyncGRsrnuZy/zOTf8neNmhOm/6f86fqvwzTz5N+X\n9eXvBjZZ0k3yA2vrZf6gSd26yzn3kfyYjeHy+bObpF1Tr9mUuTouLP90+evAx8mP36rbvh0gv3M0\nVX7H844iiztYfmfrQ/ltztDwGh9KukfSZ+YvjejdgHUuV3Pm6Yny4yluNv+sl28z37e0Vp+n8kfb\nX5K/WcDtkk51zj2Tqm91earS61yJ5szV5eQPHnwj6R35HcvsNrdOW8jVtSS9FH4LX5QfK3Nkqr41\n5mqpdS5Xc+6nfp3JKUma7Jyr7/e/LeynbiW/7/OE/Bmp2fJjK+u0xv3UUutcFnMuz7OPTcf8gx73\ncs7V3AMfm4L5SzLud85tlndbUJyZPSF/y+ViOxCtVjhy9Jb8APkf8m4P6keekqe1glwlV2sB+6ns\npxbTkh6s1mBhY3RHW01ySQqnoEny2jBC0j/ybkRewpGrsi+BQG5GiDwlT2vDCJGr5GoLxn4q+6ml\ntJozZAAAAABQa5piDBkAAAAAoAHokAEAAABATmpiDJmZcV1lC+acs9JTtQ3kastGrnrkactGni5A\nrrZs5KpHnrZstZCnnCEDAAAAgJzQIQMAAACAnNAhAwAAAICc0CEDAAAAgJzQIQMAAACAnNAhAwAA\nAICc1MRt7wG0DEsssURSPuuss6K6PffcM4pPOOGEKH7kkUear2EAAAA1ijNkAAAAAJATOmQAAAAA\nkBM6ZAAAAACQE8aQASjbgw8+mJQHDRpUdNp+/fo1d3MAAABqHmfIAAAAACAndMgAAAAAICd0yAAA\nAAAgJ4whA1DQEUccEcWDBw9Oyg899FBU9/LLL0cxzx0DAKBlOOigg6L49ttvL3vedu3aNXVzkMEZ\nMgAAAADICR0yAAAAAMgJHTIAAAAAyIk55/JuQ0lm1vIbmfGjH/0oKQ8ZMiSq22OPPaJ4s802K3u5\nt9xySxT/7ne/S8rTpk2rpIlNxjlnubxwC1SLuZq28cYbR/Ho0aOj+IcffkjKm2yySVT34YcfNl/D\nmgi56tV6nrZ25OkCLSFXjz/++Cju1rcLfSYAACAASURBVK1b2fOutNJKRev/85//JOX77rsvqvv4\n44/Lfp28kKteS8jTUp5//vko3nLLLcuet0OHDk3dnKqqhTzlDBkAAAAA5IQOGQAAAADkhNveN5GB\nAwdG8aWXXpqUN9xww6Lzzps3r96ytPBp4sMOOyyK07cizdbVwuWoyN+KK66YlO+5556oLpt/6Usa\na+ESRbQNHTt2jOL0JWZnnXVWVDdlypQoXnrppaN42223TcovvvhiVJf+rkjSAQcckJSHDRsW1c2f\nP79Us9GC3XzzzUk5+9taCbP4Sqliv8tnnnlmFO+3335RnH3UCIDWgzNkAAAAAJATOmQAAAAAkBM6\nZAAAAACQE8aQlalz585RfO6550bx0KFDo7h9+wVv7bfffhvV3X777VH8yCOPJOXx48dHdbvsskvR\n103fUj99C3xJmjx5soCs7Liw9DiFVVZZJarLjll49913m69hQJkWWSQ+lnjFFVdE8VprrZWUjz32\n2Kgue2vx6667Loo/++yzpNyjR4+o7rnnnovi9O/CTTfdFNVNmjSp3rajNlRya/tiKhnLnR4TLkl3\n3XVXFGdvU57d7wBQuzhDBgAAAAA5oUMGAAAAADmhQwYAAAAAOWEMWZmOPPLIKM6O1/ruu++iOH3t\nd/Y5OOPGjSv4OtmxEdln2aTHpknSnDlzCk4L1Ofwww+P4gsvvDApv/fee1FdeowikKclllgiKd96\n661R3cSJE6P4tNNOS8ovv/xy0eXecsstUZweezty5MioLjuWeMcdd0zKjBlrXQ466KCkfOihh0Z1\n2XGHzaVTp05RvOuuu0YxY8iA1oMzZAAAAACQEzpkAAAAAJATLlksU/ZWyauttloUX3XVVVE8ZsyY\nBr1O+nbNknTppZcWnf74449PylOnTm3Qa6J1W2qppaI4fSmOJH355ZdJOX0LfEmaPXt28zUMqMAO\nO+yQlJdbbrmoLntr+wkTJpS93NGjR0fxwIEDk3L2ERFHHXVUFPMYiNbr+++/T8p33HFHVJd+VI20\ncP5ttNFGSXm77bZrhtYBlTOzKM4OkSnmhRdeSMp77713VJe9ZBwNwxkyAAAAAMgJHTIAAAAAyAkd\nMgAAAADICWPIyvT1119HcXrsVikdO3aM4qOPPjqK+/fvn5T33Xffosv67LPPojh7y2Yg69xzz43i\nzTbbLIrT4yGyt70HWorVV189KY8aNSqqq2TMWFZ6+ytJjz76aFL+5ptvorpijyxB6zVr1qyicXrM\nmCStv/76zd4moFLOuSiu5FFJ6f2Gfv36RXWMIWsanCEDAAAAgJzQIQMAAACAnNAhAwAAAICcMIas\nCnbdddcovuKKK8qe96uvvoriPffcM4r/97//NbxhaBP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Mx9bqPrXB25zW0DNky0r6WQMf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\nd2K+kn8fDlD4oRves8ckXWlmHc1sGTP7rpn1LfXcKUW/Y8zfRmZ0BesrpuD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QdqEbAAAA0Bq0acN5cAA/xDcDAAAAAARChwwAAAAAAqFDBgAAAACB0CEDAAAA\ngEDokAEAAABAIHTIAAAAACAQc86FbgMAAAAAtEpcIQMAAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAA\nAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAAAIHQIQMAAACAQOiQAQAAAEAgdMgAAAAA\nIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAAAIHQIQMAAACAQOiQAQAAAEAg\ndMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAAAIHQIQMAAACAQOiQ\nAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAAAIHQIQMA\nAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAACoUMGAAAA\nAIHQIQMAAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKHDAAAAAAC\noUMGAAAAAIHQIQMAAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhkAAAAABEKH\nDAAAAAACoUMGAAAAAIHQIQMAAACAQOiQAQAAAEAgdMgAAAAAIBA6ZAAAAAAQCB0yAAAAAAiEDhlK\nwswuNLM74nJvM1toZm1DtwtII1dRC8hT1ApyFbWimnO16A6ZmU01s8/NrFPi/4aZ2fjmNCBe3+L4\nTVloZmNT9b80s2lmtsjMRpvZSnnW19PMZuSoNzObYmaTm9Pe0MxsXTN72My+MrM5ZvbnAl+3k5kt\ni9/jr8zsPTP7dTna6Jz7xDnX2Tm3tIA2Zf2sEss1d58rlqtmtoaZ/dvMPjMzZ2Z9Clhf3eaqmR0S\n59iC+DP4h5l1LfC1NZmrzd3nCufp3mb2nJl9YWYzzewmM+uSZ331nKdHmtnSxHu10Mx2KvC1tZqn\nLdnnSubqzmb2Zpyrc83sATNbM8/6yNWmX0uuqrzHqonlbrHoGKBvnvXVba5KHKsWs88NmnuFrK2k\nk5v52qYMjt+Uzs653Rv+08w2lnS9pMMk9ZD0taTr8qxrkKTHc9QPlLSapHXNbMuWNbt8zKxdE/+3\nnKQnJI2TtLqkXpLuKGK1nznnOkvqKulMSTeaWb9Cth1KCfa5IrkqaZmivDugiHXVba5KmihpR+dc\nV0nrSmoobQAjAAAgAElEQVQn6dIiVltzuaqW7XOl8nTFuE09Jf1I0pqSrsyzrnrOU0l6IfFedXbO\njS9itbWYp1LL9rlSuTpZUe51V5SvH0ganmdd5Gp25GrLZctVSZKZbS9pvQLXVbe5yrFqs/a52R2y\nKyWdZmbdsjRsWzN72cy+jP/dtpnb+ZWkh5xzzzrnFko6T9L+lvuM7iBJj+aoP0LSg/EyR6TaPd7M\nLjGz5+Me7lgzWyWuW97M7ojP1H0R71ePhrN4iXU8YWYvJ+IJZjYkLvc0s/vMbLaZfWxmJyWWu9DM\n7o23sUDSkU20/UhFiXq1c26Rc+4b59wbOfa1SS4yWtJ8Sf3MrE98RudoM/tEUULJzAaY2cR4fycl\nz0yZ2Tpm9kz8Pj0haZVEXcP62sXxSmZ2q0VXj+ZbdKWzk6THJPVMnHHqWYZ9rkiuOudmOeeuk/Ry\n3oUb1W2uxmeeZib+a6mknGcMm1JLudrCfa5Unt7lnHvcOfe1c26+pBslbZfnZXWbp6VSS3laApX8\nTp3unHPxfxXy+0Su5kGuNipVrsbraifpfyWdWOBL6jlXjxTHqsXvs3OuqB9JUyXtKul+SZfG/zdM\n0vi4vFL85h2m6AzxL+J45RzrmyVptqSxkn6cqHtQ0pmp5b+StEWWdbWXNEdSlyz1HSUtUPSLcEC8\n7HKJ+vGSPpK0gaQV4vhPcd1vJD0Ur6OtpC0U9d5XkPSNog+5fbwvn0rqEtctlrSyos7vq5LOl7Sc\nojPoUyTtEa//QknfSxoSL7uCpO0lfZFo3y2SRipKjjlx+zYt8HPbSdKMuNxG0tB4extK6iPJSbpd\nUqd422tKmhu/V20k7RbHq8breEHS1ZI6KDqT85WkO+K6hvW1i+NHJN2j6Exne0VXEbw2JdpZyn2e\nqgrlamKZdvG+98nTtrrO1cRn+WX8fiyStHs952pz91kB8jSx7F8l3d1a81TRH9FFcbvfV3TSr109\n52kL93mqKpirknpL+kLRCITvJR1JrpKrVZqrp0v6W1x2kvq24lzlWLWIfc6so5iFU0m+iaIDj1Xl\nJ/lhkl5KveYFZfkiVXR2doU4ec6WNFNSt7juKUm/TS3/qaSdsqxrF0lP5Wj7oYp+mdpJWj5u/9BU\nkv8xEf9O0uNx+ShFQ5I2a2K9EyTtL2mAol/UUZL2lLSzpDfiZbaW9EnqdWdLujWR5M/mee/Hxom5\nl6JflNMV/aIsl+t1iYRapuiP2zxJ/5F0SCop100sf6akkal1jFF0pqa3pCWSOiXq7moqySWtEW+3\ne65fvDLtc8VyNbFMoR2yus7V1GvXjF+zQYHL12SuNnefQ+RpvNxuig5Asrax3vNU0cHGOor+kG+q\naJjc2fWcpy3c51C5ulL8/g0gV8nVastVSWtJ+lDSinHslLtDVu+5yrFqEfvc8NPsuyw6596S9LCk\ns1JVPSVNS/3fNEUHKE2t53nn3GIXDaG5QtGHsENcvVBRzz5pRUU93KYUcgl4lHNuiXPuG0n3KXUp\nWNEvWYOvJXWOyyMVfch3x5cz/2xm7eO6ZxR9YAPj8nhJO8Y/z8TLrK3okucXDT+SzlE0N67B9Bxt\nl6IzGM855x5zzn0n6S+Kzmj8KM/rGnzmnOvmnFvJObe5c+7uVH1y+2tLOijV3u0VJW1PSfOdc4sS\ny6c/8wZrSZrnouFRzdHSfa5Urhar3nM1wzn3qaKx8ul8y6UWczWjOftcyTw1swGK/jAd6Jx7P0ez\n6jpPnXNTnHMfO+eWOefelHSxpANzvSal5vK0BPtc8e9U59w8Sf+Q9KBlnzdCruZGrvpKmat/lXSx\nc+7LAptV17kqjlWbdaza0tveXyDpGPkJ/JmiNyipt6IrW4Vwkiwuvy3pxw0VZraeop5ntgOIrElu\nZr0k/UzSoRbdXWymol/sQQ1jb3M2yrnvnXMXOef6SdpW0j6SDo+r00n+jH6Y5NMlfRwnWcNPF+fc\noNS+5/JGAcu0RHLd0xWddUi2t5Nz7k+S/iupuyXuXqToM27KdEkrZRnDXci+lGqfy52rxar3XE1r\np8InOxeiGnM1rTn7XPY8NbOfSPq3pKOcc0/leW1ry9OW/E5nW1+Das3T5u5zpb9T2ym6yUG2O5eS\nqy1DrjY/V3eRdGUityTpBTP7ZZbX1nuucqzaDC3qkDnnPlQ03vKkxH8/KmkDi25X387MDpbUT9EZ\nCo9FzwDYzsyWs2gi4umKxrc+Hy9yp6TBZrZD/IZeIul+59wPrpCZ2TqSOjjn3snS3MMUdeQ2lLR5\n/LOBpBmKxg7nZNGEyE0tel7BAkWXJpfF1RPj9W6l6BL424p+0beW9Gy8zEuSvjKzM81sBTNra2ab\nWHF3z7lD0gAz2zVuxymKxqq+E7fxNjO7rYj15dvWYDPbI27r8hbd+rOXc26apFckXRR/dttLGtzU\nSpxz/1U0pvY6M+tuZu3NbGBcPUvSyma2Yp52ZN3nQlUgV2VmyysapyxJHeL4B1pDrprZr8ysd1xe\nW9JlioYgN9TXXa7m2+dClDtPzWwTRVfuTnTOPZSrLa0kT/cysx5xeSNFc1QeTNTXY57m3OdCVSBX\n9zezDc2sjZmtqmgeyOvx1bL0ushVcjWrCvz930DRxYOG3JKi9+SBJtZV97kqjlWbdaxaigdDX6xo\ncp0kyTk3V1GP/A+KJtadIWkf59wcSTKzEWY2Il68i6Lb2M5XdFZiT0l7xetQnCy/VdQx+zzezu+y\ntGNv5b8EfJ1zbmbyR9II/fBScFNWl3SvogR/R9HZhJFxOxdJek3S2/GlSikaizzNOfd5vMzS+H3Z\nXNLHij6omxQNwWySRR3RhQ2xc+49RWOLRyh6z/aTtG9im2sp0UFoCefc9Hj95ygayzxd0ZjYhpz5\npaJf4nmKzj7dnmN1hyn6UnhX0ed4SryNdyX9U9IUiy4192zGPhejbLkaW6xomK3ifV2cpR11n6uK\n/rBNNLNFinLyPUVnKBvUXa4q/z4Xqpx5+gdFcylutsY7Rr2dpR2tIU93kfRG/Jk9qugGAJcn6usx\nT/PtczHKmatrKjp58JWkNxUdVA7N0g5ylVzNp5zHqp+n8kqS5jjnmjoGqPtc5Vi1eceq5lw5rypW\njpk9Kun/OedyJXrdsugZCJMUTeT8PnR7kB25Sq7WAvKUPK0V5Cq5WivIVXI1m6p5qFoJjJf0dOhG\nhBL3wguePIigxotcJVer33iRp+RpbRgvcpVcrQ3jRa6Sq02omytkAAAAAFBrSjGHDAAAAADQDHTI\nAAAAACCQmphDZmaMq6xizrlSPgulppGr1Y1cjZCn1Y08bUSuVjdytRG5Wt2qPVe5QgYAAAAAgdAh\nAwAAAIBA6JABAAAAQCB0yAAAAAAgEDpkAAAAABAIHTIAAAAACIQOGQAAAAAEQocMAAAAAAKhQwYA\nAAAAgdAhAwAAAIBA2oVuAHzrrbeeF5999tle/Mtf/tKLd91110x54sSJ5WsYAAAAqla3bt28eNy4\ncV7cqVMnL95www3L3iYUhitkAAAAABAIHTIAAAAACIQOGQAAAAAEwhyyKtCrV69M+dFHH/Xq+vbt\n68VLly714iVLlpSvYQAAoGQ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AABAIc8gKtPzyy3txejz2xRdf7MVbbLFFwetOjgdOfx7p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JAAAg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\n2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5jZI2bWs5H91XKutsS//0055rJ+Vk1t9//s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\nKvq506ZNC+Lk++Cmm24K6ubMmVN651BXLrjggri87rrrBnVdu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DLCgAwAAAAAMsKADAAA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HmT7dPd/PdXFx7jnVVad67unuu6tOleJ9XZ5jHFWfq865txWdB3+nom/hvidpcGqbVZerBexz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\nOeUULx47dmy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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -656,90 +567,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, - "source": [ - "## Experiment 1.3 - CuPyでGPUを計算に使う\n", - "\n", - "エポック数を増やすことで精度は向上したが、エポック数5ですでに1分以上かかっている。次のケースでは、CuPyを有効にしてGPUを使うことでこの訓練を高速化する。" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, - "scrolled": false - }, - "outputs": [], - "source": [ - "enable_cupy = True # Now use CuPy\n", - "n_epoch=5" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, - "source": [ - "### 実行: 同じモデルをGPUで訓練\n", - "\n", - "（GPU計算の立ち上がりに時間がかかるが）各エポックの実行速度が明らかに違うことがわかる。" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch iteration main/loss validation/main/loss main/accuracy validation/main/accuracy\n", - "\u001b[J1 600 1.09606 0.638388 0.756049 0.8595 \n", - "\u001b[J2 1200 0.55861 0.466419 0.86565 0.8845 \n", - "\u001b[J3 1800 0.451303 0.401928 0.882834 0.8956 \n", - "\u001b[J4 2400 0.401875 0.366363 0.892317 0.9018 \n", - "\u001b[J5 3000 0.372204 0.344202 0.898252 0.9074 \n", - "Elapsed time: 8.510\n" - ] - } - ], - "source": [ - "model = MLP2()\n", - "train_and_test()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, - "source": [ - "### 評価: 訓練の高速化結果を確認する\n", - "\n", - "実行時間を比べると、GPUによる訓練はCPUに比べて5倍以上である。" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Experiment 1.4 - レイヤーを追加する\n", "\n", @@ -748,10 +576,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 定義: 3層の多層パーセプトロン\n", "\n", @@ -760,11 +585,9 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": { "collapsed": true, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [], @@ -788,46 +611,35 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 準備: 分類モデルのベースをMLP3とする" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": { "collapsed": true, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [], "source": [ - "enable_cupy = True\n", + "enable_cupy = False\n", "n_epoch=5" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### Execution: 新しいMLP3ベースのモデルを訓練する" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -836,12 +648,12 @@ "output_type": "stream", "text": [ "epoch iteration main/loss validation/main/loss main/accuracy validation/main/accuracy\n", - "\u001b[J1 600 1.08033 0.585665 0.757916 0.8655 \n", - "\u001b[J2 1200 0.502522 0.416458 0.873516 0.8926 \n", - "\u001b[J3 1800 0.400883 0.357344 0.891117 0.9014 \n", - "\u001b[J4 2400 0.356289 0.326452 0.901117 0.9086 \n", - "\u001b[J5 3000 0.329666 0.306151 0.907051 0.9137 \n", - "Elapsed time: 9.892\n" + "\u001b[J1 600 1.07357 0.586259 0.757617 0.8649 \n", + "\u001b[J2 1200 0.501731 0.418799 0.874567 0.8923 \n", + "\u001b[J3 1800 0.401297 0.360451 0.892167 0.9015 \n", + "\u001b[J4 2400 0.357161 0.329016 0.900967 0.9099 \n", + "\u001b[J5 3000 0.330463 0.307812 0.907033 0.9152 \n", + "Elapsed time: 21.512\n" ] } ], @@ -852,10 +664,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 評価: MLP2とMLP3の精度を比較する\n", "\n", @@ -864,10 +673,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: MLP3ベースの計算グラフを表示\n", "\n", @@ -876,17 +682,14 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ { "data": { - "image/png": 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FBTh8+DBiY2ORnJwMlUoFd3d3oRnFQDQAIHFUVlbi2LFjSEhIQFZWFq5cuYLZ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LzgK3l26ab4936q2DnLzvyeLflYklRfW6ldny2Tm5u7Gm31qsjfI7+AERpzy+Pq1MXXcB4AAND6\nWIUPgCEWN3f1H3at9if+XbUnSyRJ/gNG62DKh6o5Uai98W9p/MznNfne11VyZJe2f1Na5HBo+9rH\nNWjM7Zq0YKXu+FmcLBY3/Xv5nWqoOylJ2vTn2SrPy1HkjGc0acEKledlK+6NH8put8nN3UN74t9S\nVfnX2p+4VmNueVxXjbj+9IIR3zhRdECvP9RTrz/UU2882k//+O1ElefnSJKGx94jH/9rnPt6dPZR\n6JSHmm0z8jrsdps+f22+yo5la+L85Ro383kNi1mg5I9+raNZGzXm5tP7denWW7Fzlp3ze9ZQV6WP\nfj9FHp5eipzxrMZ9/ze67p7X9HX2Rv3rhck6VXvC2PcVAACYghEoAIZ18ur+3y8sFnl3D5CXb1+d\nKD6oMbc8Lknq6neVuvj0UsnRdElSYW6iDiSt04GkdWc8XsGBHRoQcpNCpzwkWU4fz7G4uauTdw9V\nFufK3dpJfQKj1NWvv04U52r4hLvVydtP/Ydf2+xxfPsM0V3PJko6PVJWWXpEm1+/x3m7m/uZP+qc\n2wy+jt1frFLe3i2669lEWb7JGjRujtzcrOo7ZLyx75mkjE0vn34tsf/N18XHX2E3P66tqx9UxsaX\nFXXn0gvmAQAA5qBAATDOYrnwNotFnl6+zhGX0iO71L3fMM38fzvO+bDDY+9RfW2lsr94TfW1J2S3\nnZLdbvvWY54uLGebsndGHDd3+fYO1MhJiy78ei7ideTv2yZJ8vYLcO7i5u6hoPFzL+pxi3KTJEke\nnZsvbtFUwppuv1AeAABgDqbwAbig2pOlsjde2nLgDaeqVVV6RLb6mjNua1pwofBAgj78TYx8ewdq\n7K1PytrJ+7LyStLw2Lsv+zG+7VR1uaTT52tdlm+KUVXZ0Wabu3TrLUny7NLt8h4fAAC0KAoU0NE5\nHBe8fcfax8+6VLgR3fsNk62hThmbXmm2/XjBV9q99XVJ0pfvPCzJoquDbzz9lE0r2RnIZoRFp0tL\nY8Mp5za7reGiHsN/QJgkKf2zP8jhsDu3nyw7qkNpH/03UuP5V+HrNyRGknQ0e1Oz7dUVeZKk/iOu\nM5QHAACYgyl8QAfX8M3IUENdlRwOu/P8Hun0anFJ//yl3D06y2JxU0NdlSTJdqrauY+zlDgcztGV\npv3stnoNDLlJvr0Dtevf/6vq4wUKGDZRxwv3qeRwmm744VuSpFM1FaqvrVRRbqKOF+5Tfe3pxSWK\nj6TJ27ev7Lb6049nt8nN7b8/thq+yWGrrz3va+zeb5iOF+3Xrn+/pKHj5ipvT5zq6yolScf2xKn/\n8Osu+DrCbvqJDiZ/oEO71uvT5XdqUNjtqq0sUsmRXbrh/rclSV6+fVRzokDlednq0T+k2WM0fc9G\n3fiIDu1ar5ytf9HQ6Nny8u0jScrZ+rr6BEZr5LX3Gfq+fnsRDQAA0Hrcly5dutTsEACujN27d+uD\nDz7Q2Nt+Zmj/otwk7fr3SyrP262GU1XKTf2nDu/aoP0731PGxv9TyvrfqOTILoVOeUi+vQOV/tkf\nVHRwpxrqquTp5auCffE6nL5B0ukL1/a8KlR74t/UoV3rJUk22yn1C4pV4JgZOll6WHl74pS/d6u6\n+vXXhNm/Vyev0+c0dfHxV+GBHSo8mKihUbPkFzBMxbnJKvs6UyfLjurYnjhJpwudV7fe8vLto6Lc\nJKVv/IPKjmWpoe6kGm316uTt5ywk39brmnCV5+3W4fQNKsrdqZGTFqn0SLr6Do2Rt1+A8vZu1aG0\nf533dVwdfIOGRM5UzfEClX6dofyvtqqLb29NmP2/6uTlK0nq5N1D+V99KaunlwKGTZKtvuaM71nP\nq0I0LGaBTtUc155tb6o8L1v5e79UJ28/xc79g9zdPZWz9a86mPLhefP0HTL+rItjnE3ap7/XXXfd\npeDgYEP7AwCAc7M4HAbnrwBo89atW6cf/OAHuu+PZWZHQRvy+kM99fe//12zZs0yOwoAAO0e50AB\nAAAAgEEUKAAAAAAwiAIFAAAAAAZRoAAAAADAIAoUAAAAABhEgQIAAAAAgyhQAAAAAGAQBQoAAAAA\nDKJAAQAAAIBBFCgAAAAAMIgCBQAAAAAGUaAAAAAAwCAKFAAAAAAYRIECAAAAAIMoUAAAAABgEAUK\nAAAAAAyiQAEAAACAQVazAwC48v694ntmRwAAAHBJFCjAhURHR2v27NlqbGw0O4rpsrKyJEmhoaEm\nJzGfe9hsRUdHmx0DAACXYHE4HA6zQwDAlTZr1ixJ0rp160xOAgAAXAnnQAEAAACAQRQoAAAAADCI\nAgUAAAAABlGgAAAAAMAgChQAAAAAGESBAgAAAACDKFAAAAAAYBAFCgAAAAAMokABAAAAgEEUKAAA\nAAAwiAIFAAAAAAZRoAAAAADAIAoUAAAAABhEgQIAAAAAgyhQAAAAAGAQBQoAAAAADKJAAQAAAIBB\nFCgAAAAAMIgCBQAAAAAGUaAAAAAAwCAKFAAAAAAYRIECAAAAAIMoUAAAAABgEAUKAAAAAAyiQAEA\nAACAQRQoAAAAADCIAgUAAAAABlGgAAAAAMAgChQAAAAAGESBAgAAAACDKFAAAAAAYBAFCgAAAAAM\nokABAAAAgEEWh8PhMDsEAFyOAwcOaPHixaqrq2u2TZKGDBni3Na5c2etXLmy2TYAAICLYTU7AABc\nrpqaGm3cuPGst+Xl5TX7ura2tjUiAQAAF8UIFACXMHLkSO3Zs+e8+4wYMUI5OTmtlAgAALgizoEC\n4BIWLlwoDw+Pc97u4eGhu+++uxUTAQAAV8QIFACXcPToUV1zzTU61480i8Wiw4cPa8CAAa2cDAAA\nuBJGoAC4hAEDBigyMlIWi+WM29zc3BQVFUV5AgAAl40CBcBlLFy4UO7u7mdsd3Nz08KFC01IBAAA\nXA1T+AC4jJKSEvXr10+NjY3Ntru7u6ugoEC9evUyKRkAAHAVjEABcBm9evXS9ddf32wUyt3dXZMn\nT6Y8AQCAK4ICBcClLFiwoNnXDofjjG0AAACXiil8AFzKyZMn5e/vr/r6eklSp06dVFJSIh8fH5OT\nAQAAV8AIFACX4uPjo2nTpslqtcpqtWratGmUJwAAcMVQoAC4nNmzZ8tut8tut2v27NlmxwEAAC7E\nanYAAG3XyZMnlZiYqNzcXLOjXBSbzSYPDw9JUnFxsVatWmVyoosTGBio6OhoRs4AAGiDOAcKgCSp\nsbFROTk5SkxM1M6dO7Vz507t3bv3jCXB0Trc3d01fPhwjRs3TuPGjVN0dLRGjhx51utcAQCA1kOB\nAjogh8OhnJwcpaamavv27dq2bZv2798vm82mAQMGKCIiQiEhIQoNDVVwcLC8vLzMjtyh1NTUaPfu\n3crKylJ2drZSUlJ09OhRWa1WDR06VBMnTtSECRMUHh6ukSNHymKxmB0ZAIAOgwIFdAClpaVKSEhQ\namqq4uPjlZycrMrKSnXp0kXh4eHNClOfPn3MjouzKCoqalaoUlNTVVtbq27duikyMlKxsbEKDw9X\nTEyMevbsaXZcAABcFgUKcDGnTp1ScnJys9GlwsJCubm5KTg4uFlZGjx4MFPC2qnGxkYdPHiwWana\nvXu37Ha7Bg0a5CxU4eHhioyMVKdOncyODACAS6BAAe3c7t27lZqa6hxdysrKUkNDg3r16qWoqCiF\nh4crNDRUI0eOlLe3t9lx0YKqq6uVk5OjrKwspaamKikpSSUlJfLw8FBoaGizUhUcHGx2XAAA2iUK\nFNCOlJeXa/v27UpNTVVKSopSUlJUVFSkzp07KyQkRJGRkc7CxFQ8SP+d+peamqrk5GRlZ2errq5O\nffr0UUREhCIiIhQeHq7Y2Fj5+fmZHRcAgDaPAgW0UfX19UpKSnKOLqWkpGjfvn2y2+0aOnSo8xff\n0NBQBQYGymrlqgS4MJvNptzcXGcBz87O1v79++Xm5qagoCDn/1fh4eGKioqSp6en2ZEBAGhTKFBA\nG3Ho0CFt27bNWZYyMjJUXV2tnj17KiwszDlaMGLECHXt2tXsuHAhVVVV2rNnj7NUpaenq6ysTN7e\n3ho9erSzVE2cOFGDBg0yOy4AAKaiQAEmqKmp0Y4dOxQfH+9cUa2wsFCdOnXSqFGjFBIS4ixMTMWD\nGYqKipqNUmVmZurUqVPq27evc+XG2NhYxcTEsMw9AKBDoUABLcxut2vXrl2Kj48/61S8kJAQ5/lL\nI0aMYCoe2iSbzaY9e/Y4z6M619S/2NhYjRkzRm5ubmZHBgCgRVCggCusqKhIX375pXN0KTMzU1VV\nVfLz89PYsWMVGhqqiIgIjR49Wj4+PmbHBS5ZZWWlMjMzlZKSoqysLKWlpamiokJdu3bVqFGjnKNU\nkyZNYiQVAOAyKFDAZaitrXVeb6mpMBUWFsrDw0NhYWHNRpcGDBhgdlygxR09erTZKFV6eroaGhrU\nt29fZ6GaMGGCwsPD1aVLF7PjAgBw0ShQgEEOh0M5OTnNytL+/ftls9kUFBTkLEuhoaEKDg7mvBBA\np8/32717t/OCv9nZ2dq3b5+sVquGDh2qiRMnOgvVyJEjZbFYzI4MAMB5UaCA82ha6CEhIUFJSUnK\nz8+Xh4eHQkJCFBYWptGjRyssLEzXXHON2VGBduPw4cNKT09XRkaG0tPTlZ2drYaGBgUEBCgqKkrj\nx493LlABAEBbQ4ECzqG0tFS9evXSVVddpfDwcIWFhSksLEzBwcFcGwe4gurr67V7926lp6crPT1d\nqampOnbsmEpKSuTv7292PAAAmqFAAedQUFCggIAArVu3TlFRUWbHATqMpKQkzZo1S/n5+erXr5/Z\ncQAAaIZ1ZgHgEpWWlurjjz/WypUrzY4CAABaCRecAVzUoUOH9Pnnn+v++++XJBUWFurLL7/U1q1b\nlZ+fr3/+85/N9nc4HFq3bp22bt2qQYMGqbS0VDExMZoxY8ZF7XMxWiOTzWbTSy+9pHvuueeyRzPe\ne+895eXlKTk5WTk5OQoJCVFCQoICAwO1ePHiy3psIzIzM/XCCy8oIyND3t7emjx5sp588kn16NFD\n0ulrjr355ptau3at8vLyNGTIEN1///267bbbWJwBAIArhAIFuKCdO3dqzZo1WrZsmXNb3759ddNN\nN+nJJ59UYGDgGfdZvny51q1bp08//VS+vr46ceKEbr31VpWVlenee+81vM/FaI1MVqtVDzzwgJ56\n6ik9/fTTl7yc/Lvvvqvnn39emZmZqqmp0RNPPKFFixYpISHhkh7vQgoKCpoVvpycHK1YsUJLliyR\nl5eXVq1apbVr16q4uFhvvPGGJOnXv/61KioqtGDBAh06dEhr1qzR4sWLVVVVpdmzZ7dITgAAOhqm\n8AEuZv/+/VqyZImee+45eXh4NLvN19f3rPfJy8vTihUrNG/ePOc+vr6+mjNnjl566SVVVFQY2udS\ntEYmPz8/PfbYY7rvvvtUXV19STnfeust9enTR1arVd26ddNrr73WYufGff3113rkkUeabduxY4eW\nL1+uyMhIBQcHa9myZfLx8VFiYqIk6dixYyorK9PLL7+shQsX6pe//KVef/11SdKqVataJCcAAB0R\nBQpwIXa7XUuWLNGsWbPk5+dn+H7/+te/ZLPZNGHChGbbY2JiVFtbq7Vr1xra50q60plGjBihgQMH\n6vnnn7+kPHl5ea0yDa6goED33nuvysrKmm2/7777zrjwbGNjo3OqYkFBgZ555plmt8fGxqpHjx4q\nKipq2dAAAHQgTOEDXMjmzZuVnZ2tX/3qVxd1v+TkZEmnp9R9W9MUsj179qiysvKC+1xJLZFp0qRJ\nWrp0qe6//34NHDjQUI7Nmzdr8+bNqq2tVUlJiX7xi19Ikp5++ml5e3ufsf/Jkye1YsUKubu7q76+\nXvv27VNQUJAeeeQR5yjZoUOH9Lvf/U6DBw9WQUGB8vPz9dxzz2nEiBH64IMPtH//fvn4+OgXv/jF\nWQuf3W7XsmXL9P/+3//TnDlzJEmRkZFnzV9fNMPSmAAAIABJREFUX6+xY8caeq0AAODCKFCAC1m/\nfr0kadSoURd1v6YRiu9Op+vevbuk01PK6urqLrjPldQSmcaOHavGxkZ9+umn+vGPf2wox5QpUzRl\nyhStWbNGvXr1Ou8IVnV1tW6//XbNmDFDjz32mCSprKxMM2fO1KZNm/TJJ5+oW7duuvfee9XY2KhV\nq1bJZrNpzJgxevjhh/Wf//xHDz/8sJYtW3bO59q4caP++te/KikpSf3795fD4dDcuXPPOjqWkpKi\nU6dO6ac//amh1woAAC6MKXyAC0lLS5OPj4+s1os7NuLj4yNJZ/wS3vR1Q0ODoX2upJbI1HRR1qSk\npCuatcmf/vQnHTp0SHPnznVu69mzpxYvXqyvv/5af/zjHyVJP/zhD50Fzs3NTX5+fjp8+LCh5xg3\nbpx++9vf6rnnnlNZWZmefvpprVu37oz9bDabXnzxRb3wwgsKCwu7/BcHAAAkUaAAl1JSUnLORRnO\nZ/DgwZLknBLX5MSJE5KkPn36GNrnSmqJTN26dZN0+vvUElJSUiTpjKl90dHRkqTU1FRJ0ty5czVt\n2jS98cYbWr58uerr62Wz2Qw9h6+vr4YOHaq7777bOUL1j3/844z9/vCHPyg6Olrf//73L/n1AACA\nM1GgABfi7u6uxsbGi77f0KFDJemMxQaavo6IiDC0z5XUEpmaRqYcDscVzdrEze30j9Rjx4412940\n8tU0YpaUlKQbb7xRgwYN0mOPPSYvL69Ler6pU6dK0hn337Rpkzp16qTHH3/8kh4XAACcGwUKcCG9\ne/c+YzTGiFtuuUVubm7asWNHs+0JCQmyWq264447DO1zJbVEpqaRqd69e1/RrE2aRpri4uKabS8o\nKJAkTZw4UZL0xBNPyGKx6Prrr5d0elEIqXmxM1KEm4riDTfc4Ny2detWFRQU6NFHH202tbGlpi0C\nANDRUKAAFxIVFaXq6upzXuuopqZG0pkjMP369dODDz6oNWvWqKqqSpJUVVWlNWvW6OGHH1a/fv0M\n7SNJf/zjHzVhwgS9//77hjK3RqYm5eXlkv47MmU0a9O5VN+dZldbWytJOnXqlCTpRz/6kYKCgvT2\n22+ruLjYud/q1asVERGhhQsXSpKOHz+uoqIipaSkaO3atc7Sm5GRoYKCAvXu3VtFRUXNVhH8y1/+\novfff9/5Ouvq6vT8889r1qxZznOutm3bpj//+c+SpLfffltvv/223nzzTT3zzDPasmXLeV8jAAAw\nxn3p0qVLzQ4BtEVVVVVatmyZ7rrrLvXv39/sOIZ069ZNH3zwgcaPH3/GMt0JCQl69dVXtXv3blVV\nVcnLy0udO3dWr169JEnjx4+Xl5eX3nnnHWVlZen999/X97//fS1atMg5kmFkn/Xr12vHjh1KSEjQ\ngw8+eN68rZWpycaNG7VlyxY9//zz6t69u6GsBw8e1Ntvv62kpCRVVlaqe/fu8vb2VnV1tVauXKn0\n9HSdPHlSPj4+GjZsmObOnasTJ07ob3/7m3JycrR9+3b5+vrqd7/7nfPCxj179lRiYqJSUlL0ve99\nT0FBQUpNTVVubq6mTZumgIAAbd++XV26dFFMTIyk06Nab7zxhl5//XUVFRUpKSlJc+fO1cKFC2Wx\nWJSamqp77rlHhw8f1pYtW5x/tm7dqszMTC1btuySzo8zQ15ent5//3399Kc/dU57BACgrbA4Wupk\nAKCdKygoUEBAgNatW6eoqCiz4xh29913a/DgwXr22WdNy3DgwAH95Cc/cS6r3lYsWrRI/v7+evHF\nF53b2mrWjiwpKUmzZs1Sfn7+GaOIAACYjSl8gItZtmyZ4uLiWmyluQuprq7Wyy+/fN7rJZkhLS1N\nubm5euaZZ5zb2mpWAADQdlGgABfj7++vV199Vb/61a+c5xe1pqNHj+rZZ59VSEhIqz/3uRQWFmrl\nypVas2aNunbt6tzeFrMCAIC2jQIFuKDhw4fr8ccf1+rVq1v9uUeMGNFiq9xdCpvNpn/+859avnz5\nGdPB2lpWAADQ9lGggAv4+uuvDV/ktC0ZOHCgHnjgAbNjmM5qterHP/5xs5EntF02m01ff/212TEA\nADgnFpEAzqGqqkrDhg1Tfn6+OnfurNDQUI0ePVpjxozRmDFjFBAQYHZEoN3Lz89XWlqa0tPTlZGR\noaysLNXV1SkgIEBfffUVxRcA0OZQoIALKCwsVHJyslJTU5WSkqIdO3aooqJCXbt21fDhwxUZGanw\n8HCNGTNGPXv2NDsu0GaVlZVp165dSk1NVXJysvbu3auqqir5+fkpJiZGERERCg8PV2RkpPr27Wt2\nXAAAzooCBVykxsZG7d27V6mpqc5SlZKSovr6evXp00chISGKiIhQRESERo0apU6dOpkdGWh1p06d\nUmZmpvP9kZ2draKiInl6ejrfH+Hh4YqNjVVgYKDZcQEAMIwCBVwB1dXVziPrqamp2rZtmw4fPiyr\n1arAwEDnL4uhoaEaOnToGRd4Bdozh8Oh/fv3Kysry3lQITc3VzabTddcc40mTpyo8PBw50itt7e3\n2ZEBALhkFCigheTn5zsLVXx8vBISElRTU6Nu3bpp1KhRioiIUEhIiMaOHasePXqYHRcwrLy8XGlp\nacrOzlZKSooyMzNVWVkpLy8vjR8/XrGxsc7CxLmCAABXQ4ECWsl3p/7Fx8crPT1ddrtdffr0aTZK\nNXr0aHl6epodGVB9fb1zcYem0aWioiK5ubkpLCysWVkaPny43N3dzY4MAECLokABJjp58qQyMjKU\nmpqq7du3a+vWrSouLpaHh4dGjBih8PBwhYSEKDQ0VEFBQWbHRQewb98+ZWVlKTs7W6mpqdqzZ48a\nGhrUu3dvXXvttZowYYLCw8M1evRo+fj4mB0XAIBWR4EC2pimqX/bt2/Xtm3btGvXLtXW1qp3794K\nDQ1VaGioc6GK7t27mx0X7djx48edCzxkZWUpKytLxcXF6tKli8aMGaOJEyc6CxNT8QAAOI0CBbRx\nNptNX331VbNStXfvXrm5uWnw4MEKCQlxjlKFhYXJw8PD7MhogxoaGpSent5sdOnIkSOyWCwaPnx4\ns7I0bNgwWa1WsyMDANAmUaCAdqiyslKZmZnavn274uPjtXPnTpWWlsrLy0vBwcHOUhUVFaWrr77a\n7Lgwwddff62kpCRlZ2crOztbu3fvVk1Njfz9/TVu3DjFxsZqwoQJGjVqlLp162Z2XAAA2g0KFOAi\n8vPznYUqJSVFaWlpqqurc16bKjQ01LlQRZcuXcyOiyuotrbWucBD0whTUVGROnfurLFjxyoiIsJZ\nmJiKBwDA5aFAAS6qoaFBmZmZio+Pd/5yfbapf5GRkQoODpabm5vZkWGA3W7X7t27lZyc7BxdOnjw\noOx2u4YPH97sArWjRo1iSicAAFcYBQroQE6cOKHk5GRnqdqxY4fKy8vVtWtXjRgxwrk4RXR0tPz9\n/c2OC0mlpaVKTEx0LvawZ88eVVVVqUePHoqJiXGWpcjISPn6+podFwAAl0eBAjqwplGqxMREJSYm\nKikpSV999ZUsFouGDBmisLAwhYaGcm2fVtbY2KisrCylp6frwIEDcjgcGjZsmKKiohQdHa3o6GhG\nlwAAMAkFCkAzx48fb1aodu7cqbKyMrNjdSg9e/bUuHHjmhUmlqwHAKBtoEABcEmzZs2SJK1bt87k\nJAAAwJVw1jgAAAAAGESBAgAAAACDKFAAAAAAYBAFCgAAAAAMokABAAAAgEEUKAAAAAAwiAIFAAAA\nAAZRoAAAAADAIAoUAAAAABhEgQIAAAAAgyhQAAAAAGAQBQoAAAAADKJAAQAAAIBBFCgAAAAAMIgC\nBQAAAAAGUaAAAAAAwCAKFAAAAAAYRIECAAAAAIMoUAAAAABgEAUKAAAAAAyiQAEAAACAQRQoAAAA\nADCIAgUAAAAABlGgAAAAAMAgChQAAAAAGESBAgAAAACDKFAAAAAAYBAFCgAAAAAMokABAAAAgEEU\nKAAAAAAwiAIFAAAAAAZRoAAAAADAIAoUAAAAABhkNTsAAFyu6upqvf/++6qvr3duy83NlSStWrXK\nuc3T01OzZs2Sl5dXq2cEAACuweJwOBxmhwCAyxEXF6cpU6bI3d1dbm6nB9abfrRZLBZJkt1uV2Nj\no+Li4nT99deblhUAALRvFCgA7Z7NZlPv3r1VUVFx3v169OihoqIiWa0MvgMAgEvDOVAA2j2r1ao5\nc+bI09PznPt4enpqzpw5lCcAAHBZKFAAXMKcOXOanQP1XfX19ZozZ04rJgIAAK6IKXwAXILD4dBV\nV12l/Pz8s94eEBCgY8eOOc+JAgAAuBSMQAFwCRaLRfPnzz/rND5PT08tWLCA8gQAAC4bBQqAyzjX\nND6m7wEAgCuFKXwAXEpQUJD2799/xravvvrKpEQAAMCVMAIFwKUsXLhQHh4ezq89PDy0cOFCExMB\nAABXwggUAJdy8OBBDR06tNmFdA8cOKDAwECTkwEAAFfACBQAlzJ48GCNGTNGFotFFotFY8eOpTwB\nAIArhgIFwOXMmzdPVqtVVqtV8+bNMzsOAABwIUzhA+ByCgsL1b9/f0lSXl6e+vbta3IiAADgKhiB\nAnBFPPnkk85pc2b/6devn+x2u+x2u/r162d6nqY/Tz75pNn/TAAA4DJZzQ4AwDUcPnxYvQdFKHTy\ng2ZHkSSdqq6QJHXy9jM5yWlZcX/S4cOHzY4BAAAuEwUKwBXj7ddfg8bOMDtGm5S76yOzIwAAgCuA\nKXwAAAAAYBAFCgAAAAAMokABAAAAgEEUKAAAAAAwiAIFAAAAAAZRoAAAAADAIAoUAAAAABhEgQIA\nAAAAgyhQAAAAAGAQBQoAAAAADKJAAQAAAIBBFCgAAAAAMIgCBQAAAAAGUaAAAAAAwCAKFABIqq+t\nNDsCAABoB6xmBwCAbyvYF69PXpkhj85d5dNjgNw9O6vkcJrcrZ3U46pg2U7VqLLkkBptpzT3+Rx5\n+fa5rOfL/M8KHc3aqKLcJC1aUXyFXgUAAHBVFCgAbYqtvkb9hk7QTQ+uldXTS5L0+kM91bXn1Zrx\nxOeSpFPV5fropalqbKi97Ocbee0PlbHxZTnsjZf9WAAAwPUxhQ9Am2JrqNOoGx9xlqez6eTdQyMn\nLZKtoe6yn8/q0Vmdffwv+3EAAEDHwAgUgDbl6uAb5Wb1uOB+IybeK4vF0gqJAAAA/osCBaBNsXp2\nMbSfu0cnSdKJ4oNK+tdSde8TpOqKPFVV5Clm1u/UIyBYR7I+09fZm3Q0e5Pu/PlWxb+3RPlffanu\nfYZq4vzl6hEwstljVlfk6cu/PariQ8ny7T1Ek+YvV4/+wVf8NQIAgPaLKXwA2rVNf56t8rwcRc54\nRpMWrFB5Xrbi3vihJMl/wGgdTPlQNScKtTf+LY2f+bwm3/u6So7s0vb3fnrGY+2Jf0uxc/6gyf/z\nF5UeTdeOvz/Z2i8HAAC0cYxAAWjXQqc8JFlOHwuyuLmrk3cPVRbnShaLvLsHyMu3r04UH9SYWx6X\nJHX1u0pdfHqp5Gj6GY8VPu3nsljc1LXHVerk7afSs+wDAAA6NgoUgHZteOw9qq+tVPYXr6m+9oTs\ntlOy223/3eG750lZLPL08lXtyZIzHsvSVMQsburctadOFB1oyegAAKAdYgofgHat8ECCPvxNjHx7\nB2rsrU/K2snb7EgAAMCFUaAAtG0Ox3lv/vKdhyVZdHXwjad3b7qe0wXuBwAAcCmYwgegTWuor5Ek\nNZ7jmk+naipUX1upotxEHS/cp/rak5Kk4iNp8vbtq8aGU6d3dDic0/ka6qokSXZbvdysnrKdqnZu\n9+jc9Zu/n36chlPV8mBUCwAAfIMRKABt1rE9cUpY9zNJUlX5MSV/9CsV5SY12yf6e7+SZ5du2r72\nSfn2HqLwaT9TJ6/uSv34d/oq4W+qKv9akrTr3//7zblSr6rmRKEkKXn9r7Xr3/+r6uMFkqTUj59X\nw6lqZX6+XDUnir7Z9js12k611ksGAABtnMXhYJ4LgMs3a9YspRys15RFb5gdpU3a/Nd7FTHYU+vW\nrTM7CgAAuAyMQAEAAACAQRQoAAAAADCIAgUAAAAABlGgAAAAAMAgChQAAAAAGESBAgAAAACDKFAA\nAAAAYBAFCgAAAAAMokABAAAAgEEUKAAAAAAwiAIFAAAAAAZRoAAAAADAIAoUAAAAABhEgQIAAAAA\ngyhQAAAAAGAQBQoAAAAADKJAAQAAAIBBVrMDAHAN7u7uOpT2kV5P62l2lDYrOmi22REAAMBlsjgc\nDofZIQC0f7m5uUpNTTU7htP//d//SZKWLFlicpL/Cg8PV2BgoNkxAADAZaBAAXBJs2bNkiStW7fO\n5CQAAMCVcA4UAAAAABhEgQIAAAAAgyhQAAAAAGAQBQoAAAAADKJAAQAAAIBBFCgAAAAAMIgCBQAA\nAAAGUaAAAAAAwCAKFAAAAAAYRIECAAAAAIMoUAAAAABgEAUKAAAAAAyiQAEAAACAQRQoAAAAADCI\nAgUAAAAABlGgAAAAAMAgChQAAAAAGESBAgAAAACDKFAAAAAAYBAFCgAAAAAMokABAAAAgEEUKAAA\nAAAwiAIFAAAAAAZRoAAAAADAIAoUAAAAABhEgQIAAAAAgyhQAAAAAGAQBQoAAAAADKJAAQAAAIBB\nFCgAAAAAMIgCBQAAAAAGUaAAAAAAwCCr2QEA4Eqorq5WfX298+umv1dUVDi3eXp6ytvbu9WzAQAA\n12FxOBwOs0MAwOXYtm2bJk2aZHjf2NjYFk4EAABcFVP4ALR7w4cPl7u7+wX3c3d317Bhw1ohEQAA\ncFUUKADtXq9evTR16lRZreeelWy1WnXTTTepV69erZgMAAC4GgoUAJcwf/582e32c95ut9s1f/78\nVkwEAABcEedAAXAJ1dXV8vf3V11d3Vlv79y5s8rKyuTl5dXKyQAAgCthBAqAS/D29taMGTPk4eFx\nxm0eHh664447KE8AAOCyUaAAuIx58+bJZrOdsd1ms2nevHkmJAIAAK6GKXwAXEZDQ4P8/f1VWVnZ\nbHu3bt1UWlp61tEpAACAi8EIFACX4eHhoVmzZsnT09O5zdPTUz/4wQ8oTwAA4IqgQAFwKXPnzlV9\nfb3z6/r6es2dO9fERAAAwJUwhQ+AS7Hb7erXr5+Ki4slSb1791ZBQYHc3DheBAAALh+/UQBwKW5u\nbpozZ448PT3l6empuXPnUp4AAMAVw28VAFzO/PnzVV9fr/r6ei6eCwAAriim8AE4g8Ph0N69e5WU\nlKQdO3YoNzfX7EgXLT4+XpIUGxtrcpKLFxgYqJiYGEVFRWn48OGyWCxmR0IbceDAAX300UfasmXL\nOS8a3VF07txZ119/vW6//XYNGTLE7Dgwic1mU2ZmprZv367t27errKzM7Egua9iwYZowYYImTJig\nAQMGmB3HVBQoACopKVFiYqKSkpKUmJioxMREnThxQj4+Pho1apS6d+9udsSLVlhYKIvFoj59+pgd\n5aIdP35cmZmZOnnypHx9fRUdHa3o6GhFRUUpOjpavXr1MjsiWkljY6N27typ9evXa/369dq7d6/8\n/PwUGRnZ4VeWbGhoUHJysioqKjR8+HDNmDFD06dP17hx4+Tu7m52PLSQiooKJSQkKCEhQfHx8UpJ\nSVFVVZV69eqlUaNGqXPnzmZHdFmlpaXKyMhQXV2dAgICNGHCBMXExCgmJkZjxozpUD+TKFBAB1NR\nUaH4+HilpqYqNTVVKSkpKiwsVOfOnRUaGqqIiAiFh4crNDS0XZYPV1JUVKSsrCznv1NWVpbq6urU\nt29f579TeHi4YmNj5efnZ3ZcXCEVFRXasGGD3n//fX3xxReqqalRRESEJk+erClTpigoKMjsiG3K\nvn37tHnzZsXFxSklJUVeXl66/vrrddddd2n69Om8N9qxhoYGJSYmKjU1Vdu3b9e2bdtUWFioTp06\nadSoUc6fg6NHj+bAUis6evSokpOTnZ9N+/fvl7u7u4YOHaqJEydqwoQJmjhxogYNGmR21BZDgQJc\n2Lc/fJp+0O3bt092u11Dhw5VSEiIIiIiFBERocDAQFmtVrMj4zxsNptyc3OVkpKilJQUZWdna//+\n/XJzc1NQUJDzl4nY2FiFhYVxFL4d2bt3rz766CNt2LBBO3fulLu7uyZOnKgpU6bo2muvVf/+/c2O\n2C7k5eVp69at2rx5s7Zt26bGxkaNGzdO06dP14wZMzR8+HCzI+I8ysvLnVPx4uPjlZGRoaqqKvn7\n+ys6Olrh4eGKjIzUiBEj+LxqQ0pLS5Wenq7s7GylpqYqOTm52cG+2NhYTZgwQVFRUc2u09ieUaAA\nF3L48GF9+eWXzrKUmZmpqqoq9ejRQ2PGjHGWpREjRqhr165mx8UVUFVVpT179jhL1a5du1ReXq6u\nXbs2O0I7adIkXXPNNWbHxTdsNpu2bNmiDRs2aMOGDTp06JB69eqlG2+8UZMnT9aECRPUpUsXs2O2\na7W1tdq+fbvi4uL0+eefq6SkRIMGDdL06dM1ffp0XXfddfwSbiKHw6GcnBxnWYqPj9ehQ4fk5uam\nkJAQhYeHOz+zmA3RvthsNu3Zs0fJycnKzs5WUlKSjh07Jm9vb4WFhTkP9F1//fXy9/c3O+4loUAB\n7VRNTY127NjhnI7XNBXP09NTo0ePbja6xIdPx1JUVNRslCojI0P19fXNpv7FxsYqJiZGXl5eZsft\nME6ePKnPPvtMGzZs0KeffqqysjINHTpUN9xwgyZPnqyxY8cyathCGhsblZaWpri4OP3nP//R/v37\n1bNnT916662aPn26br75Zvn4+Jgd06U1Fdqmz6ykpCQVFxfL19fX+VkVERGhkSNHytvb2+y4uMK+\n+7mUnp6uhoYGDRo0SLGxsc7PpbFjx7aLhZMoUEA7YLfbtWfPHueHz9mm4oWEhDC1AWf13aOBZ5v6\n1zTFYsSIEVw36wrKy8vTBx98oA0bNmj79u2y2WwaN26cJk+erBtuuKHDr2RllqNHj+o///mP4uLi\ntHPnTlmtVk2YMEHTp0/XzJkzmTJ5BRw5ckRbt25Vamqq4uPjlZmZKZvNpqCgoGYH+AYPHsyBgw6o\nurpaOTk5zlKVmpqq48ePq1u3boqMjFRsbGybPtBHgQLaoOLiYm3dutV5pK5pRbbu3bs7F3iIiIjQ\nqFGj1K1bN7Pjoh0qKSlRRkaGsrOznQtVHD9+3LnyYtPRwGuvvVa9e/c2O2674XA4lJaW5lwEIicn\nRz4+Prrxxhs1ZcoUxcTEsKhBG1NRUaEdO3Zo8+bN+vzzz3Xy5EmNHDnSuQhFezkibiYWe8CV0J4W\np6BAASarra11fug0jS59dype0+gSR6vRkpo+vJpGqb479a9plCo8PJzzc76lvr5eGzdu1Mcff6zP\nPvtMR48eVb9+/XTzzTdrypQpioyMVKdOncyOCQNOnTql5ORkbd68WZ999pkKCgo0YMAA3XzzzZo2\nbZpuuukmlzkJ/nKw2ANaQ1tenIICBbSippNmv32Ubv/+/bLZbBo4cKDCw8MVEhKi0NBQBQcHt8lh\na3QcNTU12r17t7KyspwfYEeOHJHVam12RDA8PFwjR47sUEfpi4qKnKvmsdS46zrXEunTp0/XHXfc\n0SFGZ1nsAW3F+RanGD16tLNUtcbiFBQooAWVlpYqISHB+cGTlZWlyspK50mzoaGhzsLEBw/ag6Zr\nUzVN/UtJSdGJEyfUrVs3hYaGOo8Ijh8/vt2urnQue/bscV7QNjExsdlS49ddd50CAgLMjogWlJ+f\nry1btjRbIj06Olq33367Sy2R/u3FHlJSUpScnMxiD2izzFqcggIFXCFNUz++Owfczc1NwcHBioiI\ncJYlTpqFq2hsbNTBgwedpSolJUW7d++W3W5X3759m41StbepbCw1jnNxpSXSWewBrqS1FqegQAGX\n4NtT8Zo+dLKystTQ0KBevXopKirKudgDR+nQ0TR9gDUtTpGUlKSSkhJ5eHg4R6nCw8Pb5NS/by81\n/sknn6i8vJylxnFe7WmJdBZ7QEfUEotTUKAAA5pOmG0qS03Tljp37uw8OsdUPODcvj31r+nIYF1d\nnfr06eN8D4WHh2vChAnq0aNHq2Y7duyYPvzwQ5YaxxXRlpZI//ZiD9u2bVNGRoaqq6tZ7AEd2rcX\np/j259HFLE5BgQLOwWaz6YknntC2bduUmZmphoYGBQQEaMyYMQoLC1NYWJhCQkKYwgNcgtraWud8\n9V27dik9PV35+fny8PDQqFGjNHHiRL300kst+ktdXFycli5dqh07dsjd3V3jx4/X1KlTNXnyZPXr\n16/FnhcdR0FBgXN59ISEBDU2NiomJkZLly7V5MmTW+x5f/nLX+rf//6383yQpkWKxo4dq4iICA0d\nOpSRVOAb1dXVysjIUEpKitLS0pSWlqbKykp1795d48eP1+LFi3Xrrbc2uw8FCjiHgoICBQQEaObM\nmZo6darCwsI6xIpLgFmKi4uVnp6uTZs26YMPPlB+fn6LFpkHHnhAn3zyiZ5++mlNmjSJqbZoUdXV\n1fryyy/129/+VrfddpteffXVFnsud3d3TZ06VXfeeafGjh3LdDzgItjtdh04cECpqal67bXXNG7c\nOL333nvN9mG8FriAWbNmKSoqyuwYgMvr3bu3pk6dqu7du+uDDz5oleccOHCgbrnlllZ5LnRs3t7e\nuuWWW/Tuu++2yvPddtttuummm1rluQBX4ubmpqCgIAUFBWnr1q1n36eVMwGAyygtLdXHH3+slStX\nmh0FMAXvAaDt4P3YehiBAlzUoUOH9Pnnn+v++++XJBUWFurLL7/U1q1blZ+fr3/+85/N9nc4HFq3\nbp22bt2qQYMGqbS0VDExMZoxY8ZF7XMxWiOTzWbTSy+9pHvuueeyp4O99957ysvLU3JysnJychQS\nEqKEhAQFBgZq8eLFl/XYRmRmZuqFF16YbRyrAAAgAElEQVRQRkaGvL29NXnyZD355JPORRfsdrve\nfPNNrV27Vnl5eRoyZIjuv/9+3XbbbW1qpTuc35V+7/Ie4D3QXrTE59bF4DPp4nTk9yMFCnBBO3fu\n1Jo1a7Rs2TLntr59++qmm27Sk08+qcDAwDPus3z5cq1bt06ffvqpfH19deLECd16660qKyvTvffe\na3ifi9EamaxWqx544AE99dRTevrppy95RbV3331Xzz//vDIzM1VTU6MnnnhCixYtUkJCwiU93oUU\nFBQ0+3DNycnRihUrtGTJEnl5eWnVqlVau3atiouL9cYbb0iSfv3rX6uiokILFizQoUOHtGbNGi1e\nvFhVVVWaPXt2i+TEldUS713eA7wH2oOW+ty6GHwmnRvvx+aYwge4mP/P3p2HRVnv/x9/sruCuOBW\nbrig4gYoCpTlUmmgtshRO1I/LbOytOwcW46lWZbfvlaYdcrM0nMyv5JmapoLlIqCCKiIghu4AaLi\nBgjCDPz+8DBHchuVYVhej+vqOod77pn7NXPdH+953/fnfs/Bgwd59dVXmT59Og4ODqUec3Fxue5z\n0tLS+Pzzz3nqqadM67i4uDBy5Eg+/vhjzp07Z9Y6d6I8Mrm6ujJp0iSeffZZcnNz7yjn999/T+PG\njbG3t8fZ2Zmvv/7aYvfGHT9+nFdeeaXUsm3btjFnzhx69uxJ586dmT17NnXr1mX79u3AlVbcWVlZ\nfPbZZ4SEhPDuu+8yf/58AObNm2eRnFK2LDV2QWNAY6Bis+S+f7t0TLqWxuO1VECJVCFFRUW8+uqr\nBAcH4+rqavbzVqxYgcFgwN/fv9RyPz8/8vLyWLJkiVnrlKWyztSxY0datmzJzJkz7yhPWlpauUw5\nyMjIYMyYMWRlZZVa/uyzz17TMt9oNJqmhWRkZDB16tRSjwcEBFC/fn0yMzMtG1rumiXHbgmNAamI\nymPfLws6Jmk8Xk1T+ESqkPDwcBITE3nvvfdu63k7duwArkxfuFrJ5fqkpCQuXrx4y3XKkiUy3X//\n/UybNo1x48bRsmVLs3KEh4cTHh5OXl4ep0+f5q233gLg7bffvm7b6+zsbD7//HPs7OwoKCjgwIED\ntG/fnldeecV0RjI1NZUPP/wQd3d3MjIySE9PZ/r06XTs2JGffvqJgwcPUrduXd56663rHlyLioqY\nPXs2//jHPxg5ciQAPXv2vG7+goICvLy8zHqvYj2WHLtX0xiQiqa89v27pWOSxuPVVECJVCErV64E\noGvXrrf1vJKzQX+eulCvXj3gyuX7/Pz8W65TliyRycvLC6PRyJo1a3jhhRfMytG/f3/69+/P4sWL\nadSo0U3PFubm5jJkyBCGDh3KpEmTAMjKyuLJJ59k/fr1/Prrrzg7OzNmzBiMRiPz5s3DYDDQo0cP\nXn75ZTZu3MjLL7/M7Nmzb7itdevW8e233xITE0Pz5s0pLi5m1KhR1z0TGRsby+XLl5k8ebJZ71Ws\nx5Jj92oaA1LRlNe+f7d0TNJ4vJqm8IlUIfHx8dStWxd7+9s7N1K3bl2Aa/7BK/m7sLDQrHXKkiUy\nNWzYEICYmJgyzVriyy+/JDU1lVGjRpmWNWjQgAkTJnD8+HG++OILAJ577jnTwdLW1hZXV1eOHDli\n1jZ69+7NBx98wPTp08nKyuLtt99m6dKl16xnMBiYNWsWH330Ed27d7/7NycWZcmxezWNAaloymvf\nv1s6Jl1fdR2PKqBEqpDTp0/f8AbYm3F3dwcwTT8oceHCBQAaN25s1jplyRKZnJ2dgSufkyXExsYC\nXDONwtfXF4C4uDgARo0aRWBgIAsWLGDOnDkUFBRgMBjM2oaLiwvt2rXj6aefNp0NXL58+TXrffLJ\nJ/j6+vLEE0/c8fuR8mPJsXs1jQGpaMpr379bOiZdX3UdjyqgRKoQOzs7jEbjbT+vXbt2ANfc2Fny\nt4+Pj1nrlCVLZCo5C1hcXFymWUvY2l75J/XEiROllpecZSw5OxkTE8PAgQNp3bo1kyZNolatWne0\nvYceegjgmuevX78eJycnXn/99Tt6XSl/lhy7V9MYkIqmvPb9u6Vj0q1Vp/GoAkqkCnFzc7vmzJc5\nBg0ahK2tLdu2bSu1PCoqCnt7e4YNG2bWOmXJEplKzgK6ubmVadYSJWf1IiIiSi3PyMgA4L777gPg\nb3/7GzY2Njz44IPAlRtwofRB1JwvFCUH5QEDBpiWbdq0iYyMDCZOnFhqGomlpohI2bDk2L2axoBU\nNOW1798tHZM0Hq+mAkqkCunVqxe5ubk3/F2JS5cuAdee7WratCkvvvgiixcvJicnB4CcnBwWL17M\nyy+/TNOmTc1aB+CLL77A39+fsLAwszKXR6YSZ8+eBf57FtDcrCXz1v88pSEvLw+Ay5cvA/D888/T\nvn17Fi5cyKlTp0zrLVq0CB8fH0JCQgA4f/48mZmZxMbGsmTJEtOXh927d5ORkYGbmxuZmZmlOjZ9\n8803hIWFmd5nfn4+M2fOJDg42DS/fcuWLfzzn/8EYOHChSxcuJDvvvuOqVOn8scff9z0PYp1WXLs\nXk1jQCoaS+/7OiZpPFqC3bRp06ZZO4RIRZSTk8Ps2bMZPnw4zZs3t3Ycszg7O/PTTz/Rp0+fa1qi\nRkVF8dVXX7F3715ycnKoVasWNWrUoFGjRgD06dOHWrVq8a9//Ys9e/YQFhbGE088wdixY01njcxZ\nZ+XKlWzbto2oqChefPHFm+Ytr0wl1q1bxx9//MHMmTOpV6+eWVkPHz7MwoULiYmJ4eLFi9SrV4/a\ntWuTm5vL3Llz2bVrF9nZ2dStW5cOHTowatQoLly4wA8//MC+ffvYunUrLi4ufPjhh6YfiGzQoAHb\nt28nNjaWxx9/nPbt2xMXF0dKSgqBgYE0a9aMrVu3UrNmTfz8/IArZxAXLFjA/PnzyczMJCYmhlGj\nRhESEoKNjQ1xcXE888wzHDlyhD/++MP036ZNm0hISGD27Nl3dJ+BNaSlpREWFsbkyZNNU0wsYfXq\n1Zw6dapCzMm39NgtoTFg/TGwfPly3NzcCAwMtNg23nvvPQYNGkSHDh0sto2yYul9X8ckjce7sXr1\namrUqMGTTz5ZarlNsaUmXopUchkZGTRr1oylS5da7Ne9LeHpp5/G3d2dd955x2oZDh06xGuvvWZq\nT1tRjB07loYNGzJr1izTsoqatTqLiYkhODiY9PT0a87YlqXx48eTmJjIDz/8YLFt3I7yGLsaA9b3\n1FNP4enpyVdffWWxbdjZ2REaGkpQUJDFtlGWLL3vV9R9XOOx4hs/fjz16tXjxx9/LLVcU/hEqpjZ\ns2cTERFhsa4+t5Kbm8tnn312x7+ubinx8fGkpKSU+mX0ippVqidLj12NAamoLLnvV9R9XOOxclMB\nJVLFNGzYkK+++or33nvPNJe7PB07dox33nkHT0/Pct/2jZw8eZK5c+eyePFi6tSpY1peEbNK9WXJ\nsasxIBWZJff9iriPazxWfiqgRKogDw8PXn/9dRYtWlTu2+7YsaPFOgrdCYPBwM8//8ycOXOumQ5W\n0bKKWGLsagxIZWCp41ZF28c1HqsGFVAit7B06VLWr19fqoNNZdCyZUvGjx9v7RhWZ29vzwsvvFDq\nLJ9UTKdOnWL9+vXX/RV7Szl69Chr1669YQcwayjrsasxUDHk5uaydu1ajh49Wi7b+/XXX1m3bp3V\npnPfiepw3NJ4rPiKioo4cOAAP/74I8nJydddx76cM4lUGo0aNWLSpEls2bKFl156icLCQpo1a0aP\nHj3o3r073bt3x9PTk5o1a1o7qkilk5eXR2JiIrt27WLnzp3s2rWL9PR0HBwc6Nq1K5MmTTJ1vrKU\n4OBgkpKSmDBhAnZ2dvj5+TFw4ED69etn0eYVUn1kZGQQHh7Oxo0b2bZtG0ajkd69e/PII49YdLv/\n+Mc/+O2335gwYQKFhYW0atUKLy8vvLy8TD/4amdnZ9EMIpVFbm4uu3fvJjY2lp07dxIfH8+FCxdw\ndXWlT58+jB49+prnqAufiBmMRiPJycnExcWxdetWtmzZwv79+ykqKqJly5Z4e3vj6elJly5d6Nat\nG46OjtaOLFJhFBQUsHv3bvbs2UNiYiJxcXEcPXoUW1tbunfvTkBAAN7e3nh7e+Ph4VHuX+wuXbpE\neHg4q1ev5pdffiEzM5MWLVrQv39/+vfvT+/evbG31/lGuTWDwUB0dDTh4eGEh4dz7Ngx3NzcGDZs\nGIGBgfTr14/atWuXa579+/ezdetWIiMj2bJlC0eOHMHBwQEPDw98fHzw8fGhd+/eNGjQoNxyiVhL\nUVERe/fuZceOHaWORw4ODvTs2RMfHx8CAgLw9/enWbNmN3wdFVAidyg7O5vdu3cTFxdHZGQkmzZt\n4vTp06UOTCVFVfv27a0dV6TcHDhwwFQsxcbGkpycTGFhIY0aNaJv376mgqlbt24W/Z2nO2E0Gtm1\naxerVq1i6dKlJCUl4erqip+fH/369ePhhx/W1BspJScnh3Xr1hEREcG2bds4d+4cHh4eDB06lMDA\nQPr06VOhrvakp6eXOhkYGxtLQUEBbm5u9OzZE29vb3r27Ennzp2xtdWdHlK5ZWdns337dtPxaPfu\n3WRnZ5v+Xb/vvvvw9/ene/fut/VvuwookTL05wPTzp07ycvLo3HjxqZiytPTk549e1aKH5ATuZUL\nFy6YzuSVFE2ZmZnUrFmTHj16mA5O3t7eNz2bV1GlpKSwatUqVq1axebNm7G1taVnz57069ePQYMG\naapfNZWRkcHatWuJiIhgx44dGI1G+vbtS1BQEEFBQbRp08baEc2Wm5vLzp07TScDf//9d7KysqhT\npw4eHh6liiodt6SiO3bsGDt27CAuLo7Y2FgOHz5MUVERHh4epuNRQEDAXY9RFVAiFvTn6RMlZ+Nt\nbW1xd3fH09PTVFj16NFD04SkQjMYDOzcudNUKCUmJpY6OF099aFDhw5Vbn/OysoiIiKCVatW8csv\nv3Dx4kXatWvHgAED6NevHz4+PtjY2Fg7plhAcXExsbGxREREsHHjRg4ePIizszNDhw4lKCiIfv36\nVakpcCkpKURGRpqKql27dmFjY4O7uzs+Pj54e3trdoVYXcn08NjYWGJjY0udwPPz8zPNdujVqxeN\nGzcu022rgBIpZxcvXiQhIcF0lSo6OpqsrCxq165Nx44dTVepfH19ueeee6wdV6qx48ePExMTY7q6\nlJSURG5uLg0aNKB3796ms3ldu3bF2dnZ2nHLVX5+PpGRkaxatYrly5dz4sQJmjdvTt++fenXrx/3\n33+/7oWs5AoKCti8eTMRERFs2rSJtLQ0mjdvzhNPPEFQUBABAQHUqFHD2jHLxcWLF4mJiSEyMpLI\nyEiioqK4dOkSbm5udOnSxXQvVdeuXXFycrJ2XKmizp49S1RUFLGxsezZs4e9e/eSl5dHixYt6Nu3\nL97e3gQEBNCtWzeLn8BTASVSAaSnp5e6ShUXF8fly5dLTf0rOeunrn9iCXl5eaYpD1dPxXNycsLb\n29vsG2urq71797J69WpWrlxJVFQUNWrUwM/Pj/79+/PQQw/RsGFDa0cUM5w5c4b169cTHh7Otm3b\nyM/Pp0+fPgwZMoTAwEA6d+5s7YgVgppTiKWVVbMHS1EBJVIBFRYWkpCQYJpCcb2pfyUHqLZt2+pG\nX7ktfz4wXW8qXsmZvK5du+Lg4GDtyJXKqVOn+O2331i6dCkbN27EYDDQo0cP+vfvz8CBA2nbtq21\nI8pVDh06xIYNGwgPD2fnzp3Y29szYMAAhgwZwiOPPEKLFi2sHbFSUHMKuRtXn8Qry2YPlqICSqSS\nOH/+PLGxsaarVCXdnkpu9C25SqUzfvJnWVlZREdHm64uJScnk5OTYzowlZzJ8/HxoV69etaOW6Wo\nRXrFc71W440bNzZ1zevfvz+1atWydsxKT80p5Gb+3OwhJSUFo9FY5s0eLEUFlEgldvWNviVnbQoK\nCkxT/0quUnXp0qXazNWv7vLz89mzZ881N9U6Ojqa9oeSq0sV9cBUValFuvVcr9V4x44dCQ4OJigo\niO7du1eoVuNVlZpTVE/WbPZgKSqgRKqQq8/4lRygUlNTsbe3p3Xr1qYzfl26dKFdu3bqGFbJFRcX\nc/DgQfbs2UNcXBw7duwgNTUVg8FA69atS/1AbY8ePcr1Bzzl1tQi3bL+3Gq8qKiI+++/v1K2Gq+q\n1JyiaqpIzR4sRQWUSBVXMi+95CpVZGQkFy5coG7dunTo0MFUVHl5eVG/fn1rx5WbOHv2LPHx8aZi\naf/+/WRnZ+Pi4mKagldSMKnRQ+WiFul3r7q1Gq+K1Jyi8qnozR4sRQWUSDVjNBpJTk4udZVq165d\nFBUVlbrZt0uXLnTr1k2tmK3k8uXLJCQksGfPHiIjI0lMTOTUqVPY2trSvXv3UleXPDw8NP2oCim5\nRycsLEwt0m/heq3G77nnHh5//PFq12q8qrpRcwoXFxd69uyJn5+fmlOUo8rW7MFSVECJCKdPn2b7\n9u3ExMQQHR1NTEyM6SqVp6envpyXM6PRSGJiounqUm5uLo0aNWLkyJG89tprNG/e3NoRpZwYjUai\no6NZuXIlK1euJDk5GVdXVzp16lTtr0gVFxezb98+zp07h4eHB0OGDGHIkCH07t1b/2ZVUbm5uXz5\n5Zd8+umnnDx5Eg8PD44fP05OTg6NGjWiQ4cO1o5YpRUUFJCQkEB+fj7NmjXD398fPz8//Pz86NGj\nR7Xq2KoCSkSuUVxcTHJyMjExMWzfvp0zZ85YO1K10rBhQ3x9fenVqxceHh4cOnSIuXPnMn/+fBwc\nHHj66aeZPHmy2itXQ4cOHeKXX34x3dNjLXv27AGgS5cuVstga2tLr169GDJkiFrDV3HHjh1j9uzZ\nfPfddzg4OPDyyy8zfvx4mjRpgsFgMP04fWxsLHl5edaOW2U1adKEPn364O/vX+2PPyqgREQqiQsX\nLvD9998ze/ZsTp48ybBhw5g0aRJ+fn7WjibVTHBwMABLly61chKpyrZv387777/PmjVruPfee3n1\n1VcZO3ZslZ4aJpWDJouKiFQSLi4uTJw4kcOHD/PDDz+QlpaGv78/Pj4+LFq0CIPBYO2IIiJ3pbi4\nmFWrVhEQEEDv3r05c+YMK1asICUlhYkTJ6p4kgpBBZSISCXj4ODA8OHDTVNWOnXqxNixY2nRogXT\npk0jKyvL2hFFRG5LXl4eoaGhdOjQgaFDh+Lq6sqWLVuIiooiKChIDSKkQtHeKCJSiXl7e7No0SKO\nHTvGuHHj+Pzzz7nnnnsICQlh37591o4nInJTWVlZTJs2jVatWvHmm28yaNAgDhw4YLoKJVIRqYAS\nEakCmjZtyrRp0zh69CihoaHExcXh6enJwIEDWbVqFbrdVUQqkv379/P888/TsmVL5s6dywsvvMCR\nI0cIDQ1VUxCp8FRAiYhUIXXq1GHcuHHs2bOH9evXU6NGDYYOHYqHhwehoaFcunTJ2hFFpBrbtm0b\nQUFBdOrUiU2bNvHll1+SlpbGtGnTcHNzs3Y8EbOogBIRqYJsbW0ZMGAAq1atIjk5mUceeYS33nqL\nZs2aMXHiRI4fP27tiCJSTRiNRhYtWoSPjw/+/v6cO3eOFStWsG/fPkJCQnBycrJ2RJHbogJKRKSK\na9++PaGhoRw5coQ333yT5cuX4+7uTnBwMNu2bbN2PBGpoi5dumRqDDFmzBg6depEbGwskZGRagwh\nlZr2XBGRaqJRo0ZMmTLF1Ab9+PHjaoMuImUuPT2dN954g1atWvHWW2/x6KOPcuDAARYtWoS3t7e1\n44ncNRVQIiLVjKOjI8OHDycqKuq6bdDPnj1r7YgiUgklJSUREhJCmzZt+Ne//sXkyZNNjW3atGlj\n7XgiZUYFlIhINVbSBv3AgQOEhIQwZ84cWrZsyfPPP6826CJilo0bNxIUFISnpydxcXHMmzePlJQU\npkyZQsOGDa0dT6TMqYASERFat27NRx99xNGjR5k9ezabN2+mS5cuaoMuItdlMBhMU/IGDhwIwLp1\n60hMTFRjCKnyVECJiIhJ3bp1GTduHHv37mXFihUAaoMuIiYXLlxg1qxZtG/fnrFjx9K5c2fi4+NZ\ntWoVAwYMwMbGxtoRRSxOBZSIiFzD1taWoKAgNmzYQHx8PA888ABvvvkmrVq14o033lAbdJFq5sSJ\nE0ycOJEWLVrw0UcfERwczMGDB1m0aBE9evSwdjyRcqUCSkREbqp79+58/fXXHDlyhMmTJ/Pvf/+b\ntm3bEhwcTFRUlLXjiYgFlUzJc3d3Z/ny5bz33nscPXqUjz76iFatWlk7nohVqIASERGzuLm5MWXK\nFFJSUvjmm2/Yv38/fn5+aoMuUsUUFxezatUqAgIC6NKlC7t27eKbb77h8OHDTJw4EWdnZ2tHFLEq\nFVAiInJbHB0dCQkJYffu3WzZsoU2bdowZswYWrZsqTboIpVYYWGhaUre0KFDcXV1ZcuWLSQkJBAS\nEoKjo6O1I4pUCCqgRETkjgUEBLB06VL279/P6NGjCQ0NNbVBT0pKsnY8ETHDuXPnmDZtGi1atOD5\n55/H19eXnTt3mq5CiUhpKqBEROSuubu7m9qgv//++6xfvx5PT0+1QRepwI4dO8bEiRNp2bIlc+bM\n4fnnnyc1NZWvv/6abt26WTueSIWlAkpERMqMs7MzEydO5PDhw6Y26EOGDKFjx45qgy5SQcTExBAU\nFETr1q1ZsWIFM2bM4OjRo0ybNo0mTZpYO55IhacCSkREytyf26D37duXN954w9QG/cSJE9aOKFKt\nXN0YwtfXl9OnT7NixQpSU1OZOHEidevWtXZEkUpDBZSIiFhUjx49TG3QX3zxRb799lvc3d0JDg4m\nOjra2vFEqrS8vDxCQ0Pp0KFDqcYQ0dHRBAUFYWurr4Iit0ujRkREykXjxo2ZNm0aJ06c4JtvviEp\nKYk+ffqoDbqIBWRlZTFt2jRat27Nm2++yaBBg9i/f78aQ4iUARVQIiJSrpycnAgJCWHPnj2l2qC3\nb9+eWbNmqQ26yF3Yv38/zz//PK1atWLu3LmMHz+eI0eOEBoaSrt27awdT6RKUAElIiJWU9IGPTk5\nmaCgIGbMmKE26CJ3ICoqiqCgIDp16sSmTZuYPXu2qTGEm5ubteOJVCkqoERExOratm1LaGgo6enp\nvP/++/z2229qgy5yC0ajkbCwMAICAvDz8+Ps2bOsWLGCffv2MW7cOGrXrm3tiCJVkgooERGpMEra\noKemprJixQry8vIYMmQIPXr0YN68eeTl5Vk7oojVXbp0ydQYYuTIkbRp04bY2Fi2bt2qxhAi5UAj\nTEREKpySNuiRkZHExsbStWtXJkyYoDboUq1lZGSYfg7grbfe4tFHH2X//v0sWrQIb29va8cTqTZU\nQImISIXm7e3NokWLOHr0KC+88ALz589XG3SpVpKSkggJCaF169b861//YvLkyRw9epTQ0FDc3d2t\nHU+k2lEBJSIilULTpk1LtUHft2+f2qBLlbZx40aCgoLw9PQkLi6OefPmkZKSwpQpU2jYsKG144lU\nWyqgRESkUqlRo4apDfqGDRto2rQpzzzzjKkN+rlz56wdUeSOGQwG05S8gQMHkp+fz4oVK9izZw8h\nISE4OTlZO6JItacCSkREKiUbGxsGDBjAqlWr2L9/P0FBQbz33numNujJycnWjihittzcXEJDQ2nf\nvj1jx46lc+fOxMXFsWHDBjWGEKlgNBpFRKTSa9eunakN+owZM1i7di2dO3dWG3Sp8E6cOMHEiRNp\n1qwZ7777LsHBwRw8eJBFixbh5eVl7Xgich0qoEREpMpwcXFh4sSJHD58mCVLlpCbm6s26FIhJSYm\nEhISgru7O8uXL+e9997j2LFjfPTRR7Rq1cra8UTkJmyKdVpORESqsLi4OEJDQ/nxxx+pX78+/+//\n/T9efvllmjdvbu1olcKhQ4eYMGEC+fn5pZbBlR9ALlGjRg3mzp1bapmUVlxczOrVq5k1axZbt27F\n09OTv/3tb4wYMQJHR0drxxMRM6mAEhGRaiE9PZ158+bx+eefk5OTw9ChQ5k8eTK+vr7WjlahJSQk\n0K1bN7PX7dKli4UTVT6FhYX8+OOPfPrpp+zevZtHH32UKVOmEBAQYO1oInIHVECJiEi1kpOTw+LF\ni/nss89ISkrC39+fiRMn8thjj2Fvb2/teBVSp06dSEpKuuk6HTt2ZN++feWUqHI4d+4coaGhzJs3\njzNnzjBixAgmT55sdkEqIhWT7oESEZFqpU6dOowbN47ExEQ2bNiAq6srf/nLX+jQocNtt0GvLvdU\nhYSE4ODgcMPHHRwcePrpp8sxUfk7efKk2eseO3aMiRMn0rJlS+bMmcO4ceM4duwYixYtUvEkUgWo\ngBIRkWrJ1tbW1AZ9586dDBgwgOnTp5vdBj01NZV69erx5ptvVvkuf6NGjbrpDxUbDAZGjhxZjonK\n16effkqzZs1YvXr1TdeLiYkhODiYtm3bsmLFCmbMmMHRo0eZNm0aTZo0Kae0ImJpKqBERKTa69at\nG19//TVHjhzh7bffZs2aNXTu3JmgoCA2btx43QJpzpw5GI1GZs2axfjx4ykqKrJC8vLRokULevbs\niY2NzTWP2dra0qtXL1q0aGGFZJb3/vvv89prr5n+/58VFxezatUqAgIC8PX15dixYyxbtozU1FQm\nTpxI3bp1yzuyiFiYCigREZH/cHNzY8qUKaY26KdPn2bgwIF4eXmVaoN+/vx5vv76a4xGI8XFxXz7\n7bcMGTKkVKe6qiYkJAQ7O7trltva2hISEmKFRJZVXFzMSy+9xDvvvGP6e/v27WzduhWA/Px8QkND\n8fDwYOjQobi6urJlyxaio6P1w7ciVZyaSIiIiNxEZGQkc+bM4eeffza1QXd0dOTDDz8sNa3N3t6e\nPn368Ouvv1bJqw6nT5+madOmGEl/cJwAACAASURBVI3GUsvt7OzIyMigUaNGVkpW9oqKinj++edZ\nsGBBqSuL9vb29O/fn969e/PVV19x8eJFnnvuOSZMmEC7du2smFhEypMKKBERETPs27eP0NBQ/v3v\nf2Nvb8/FixevWcfBwQFPT082bNhAgwYNrJDSsgYOHMjvv/9uKqLs7Ozo168f69evt3KysmMwGPjr\nX//KTz/9dE2xWKJ27dqMGzfO1ChCRKoXXV8WERExQ6dOnfj666+ZO3cu2dnZ112nsLCQvXv30qdP\nH9LS0so5oeWNHj261N/FxcXXLKvMLl++zLBhw1i2bNkNiycHBweCg4P55JNPVDyJVFO6AiUiInIb\nfH19iYuLu+EXbABHR0fc3Nz4448/cHd3L8d0lpWdnU3Dhg0pKCgAwMnJidOnT1eJKYt5eXkMGzaM\niIiIm3YchCtF1LFjx9RZT6Sa0hUoERERM8XExBATE3PT4gmgoKCAzMxMevfuzZ49e8opneXVrVuX\nwMBA7O3tsbe3JzAwsEoUT9nZ2Tz00EP8/vvvtyyeSnz11VcWTiUiFZUKKBERETPNnTv3uq28r6ew\nsJDz58/zwAMPkJCQYOFk5WfEiBEUFRVRVFTEiBEjrB3nruXm5hIYGEh0dDSFhYVmPaewsJDPP//c\n7PVFpGqxt3YAERGRyqCgoIDTp0/j5uZGbm4ueXl511yJsrGxwdbWFhsbG4qLizEajZw9exZfX19e\nffVVWrVqZZ3wZchgMODg4ADAqVOnmDdvnpUT3bn8/Hw+/fRTjhw5Alzpsmdra0txcTEGg6HU73/Z\n2tpSq1YtnJ2dcXV1pUGDBnz77bfUqlWLESNG4OjoaKV3ISLlTfdAiYiImGH58uU88cQT1o4hFdCy\nZct4/PHHrR1DRMqJrkCJiIiYoeTemGe/yLJyEqlI5r/UwOz7pkSkatA9UCIiIiIiImZSASUiIiIi\nImImFVAiIiIiIiJmUgElIiIiIiJiJhVQIiIiIiIiZlIBJSIiIiIiYiYVUCIiIiIiImZSASUiIiIi\nImImFVAiIiIiIiJmUgElIiIiIiJiJhVQIiIiIiIiZlIBJSIiIiIiYiYVUCIiIiIiImZSASUiIiIi\nImImFVAiIiIiIiJmsrd2ABERkaooM2U7+7f9wIGoHwDo9tBEWnULpFErrxs+55ePB9KkrR++j00v\nr5jXtWfjXHZvmEN+ThY2NrY063A/tvaOUFyM0ZDPhVMp5J5LY8SM3dSpf49Vs1aUz0xEqg8VUCIi\nIhbQuI0vDe7txoGoH6hT/x56Dn3nls+pWdeNGrVcyyHdzXUZMIF2vUfy7yntqduwJYNeXlbq8eLi\nItZ/9RRFRYXlmiv3XBq1XZuXWlZRPjMRqT5UQImIiFiIvUMNAOz+87+38tD4HywZ57bUqNMAABtb\nu2ses7GxpfvDk3BwqlNuebKzjrJp4YsEvvZrqeUV6TMTkepBBZSIiIjclqwTe2jcxrfctpd7Pp11\n/xxJcZGx3LYpInIjKqBERESsrLjISOquVRxPXE921jECJ63i6J7fOJ64nmOJ63nszU1E/vgq6fs3\nU69xO+776xzqN+sEQOHlXBJ//4rs06mcTd+HY00Xej/5genxC6cOE7NiGvUatyf3XBo559LwC/4Q\n16YdOXk4mqO7f+XI7jUMef03IhY8R3bWUR5/cxNOta+dFldkKOD8qUNELX2DwNd+JTnyeyJ/nAzA\ns19kUZifTfLWRWxffmW64rNzz5j9PgwFeSRtWcC59CQcazqTmbqDVt0epevAVzgQ/SPnM/bjWNOZ\nyB8nEzBy9rWf2aurASjIu8jO32Zja2uH0VDAufQkXJt1pMeg13Gq6WJ2HhGRG1EXPhERESuzsbWj\neYe+HNz+f+RlnwagYYtuHI5dxqULJ0mO/J4+T86k35j5nD66k63/KVooLmbrktdp3WMI94+ey7Ap\nEdjY2LJ2zmMU5mcDsP6fIzibto+eQ6dy/+jPOZuWSMSC5ygqMmBr50BS5PfknD3Owe1L6DHode7p\n+OCVhhH/cSHzEPNfasD8lxqwYGJTln9wH2fT9wHgEfAMdRu2Mq3rUKMuXfq/VGqZOe+jqMjAhq//\nStaJRO776xx6PzmTDn6j2fHLDI7tWUePR66sV9PZjYCRs2/4mRXm5/DL//THwbEWPYe+Q+8n3ueB\nZ77meOI6VnzUj8t5F8z7XEVEbkJXoERERCoAp1r1/vuHjQ216zWjlksTLpw6TI9BrwNQx/UeatZt\nxOljuwA4mbKdQzFLORSz9JrXyzi0jRaeD9Ol/0tgc+V8qY2tHU6163PxVAp29k40btOLOq7NuXAq\nBQ//p3Gq7Upzj76lXselcVuGv7MduHKl7OKZo4TPf8b0uK3dtV8lTMvMfB97f59HWvIfDH9nOzb/\nydq+90hsbe1p0raPeZ8ZsHv9Z1feS8B/89Ws25Duj7zOpkUvsnvdZ/R6bNot84iI3IwKKBERkYrA\nxubWy2xscKzlYrricuboTuo17cCT/9h2w5f1CHiGgryLJP7+NQV5FygyXKaoyHDVa14pWK43Ze+a\nOLZ2uLi1odP9Y2/9fm7jfaQf2AJAbddmplVs7Rxo32fUbb1uZkoMAA41Sje3KCnCSh6/VR4RkZvR\nFD4REREryss+Q5HxztqBF17OJefMUQwFl655rKThwslDUSx73w8XtzZ4Df479k617yovgEfA03f9\nGle7nHsWuHK/1l35T2GUk3Ws1OKazm4AONZ0vrvXFxFBBZSIiIjlFBff8vFtS16/bqtwc9Rr2gFD\nYT6714eWWn4+Yz97N80HYPO/XgZsuLfzwCubLOlkZ0Y2c9hwpWgxFl42LSsyFN7WazRs0R2AXb99\nQnFxkWl5dtYxUuN/+W8k48278DVt6wfAscT1pZbnnksDoHnHB8zKIyJyM5rCJyIiYiGF/7kyVJif\nQ3Fxken+HrjSLS7m53exc6iBjY0thfk5ABgu55rWMRUlxcWmqysl6xUZCmjp+TAubm3YufZ/yT2f\nQbMO93H+5AFOH4lnwHPfA3D50jkK8i6SmbKd8ycPUJB3pbnEqaPx1HZpQpGh4MrrFRmwtf3v14LC\n/+QwFOTd9D3Wa9qB85kH2bn2Y9r1HkVaUgQF+RcBOJEUQXOPB275Pro//BqHd/xE6s6VrJnzGK27\nDyHvYianj+5kwLiFANRyacylCxmcTUukfnPPUq9R8pl1HfgKqTtXsm/TN7TzHUEtl8YA7Ns0n8Zt\nfOnU91mzPterm2iIiPyZ3bRp06ZZO4SIiEhFt3fvXn766Se8Hp1i1vqZKTHsXPsxZ9P2Ung5h5S4\nnzmycxUHo39k97pPiV35PqeP7qRL/5dwcWvDrt8+IfNwNIX5OTjWciHjQCRHdq0CrvxwbYN7upAU\n+R2pO1cCYDBcpmn7ANr0GEr2mSOkJUWQnryJOq7N8R/xPzjVunJPU826DTl5aBsnD2+nXa9gXJt1\n4FTKDrKOJ5CddYwTSRHAlYKulrMbtVwak5kSw651n5B1Yg+F+dkYDQU41XY1FSRXa9TKm7Npezmy\naxWZKdF0un8sZ47uokk7P2q7NiMteROp8Stu+j7u7TyAtj2f5NL5DM4c3036/k3UdHHDf8T/4lTL\nBQCn2vVJ378Ze8daNOtwP4aCS9d8Zg3u8aSD32guXzpP0pbvOJuWSHryZpxquxIw6hPs7BzZt+lb\nDscuu2meJm37XLc5xvXEr/kfhg8fTufOnc1aX0QqP5viYjOvr4uIiFRjS5cu5S9/+QvPfpFl7ShS\ngcx/qQH/93//R3BwsLWjiEg50T1QIiIiIiIiZlIBJSIiIiIiYiYVUCIiIiIiImZSASUiIiIiImIm\nFVAiIiIiIiJmUgElIiIiIiJiJhVQIiIiIiIiZlIBJSIiIiIiYiYVUCIiIiIiImZSASUiIiIiImIm\nFVAiIiIiIiJmUgElIiIiIiJiJhVQIiIiIiIiZlIBJSIiIiIiYiYVUCIiIiIiImZSASUiIiIiImIm\nFVAiIiIiIiJmsrd2ABERkcokOXKhtSOIiIgVqYASERExQ/PmzbGzsyPyx9esHUUqEDs7O5o3b27t\nGCJSjmyKi4uLrR1CREREKo/g4GAAli5dauUkIiLlT/dAiYiIiIiImEkFlIiIiIiIiJlUQImIiIiI\niJhJBZSIiIiIiIiZVECJiIiIiIiYSQWUiIiIiIiImVRAiYiIiIiImEkFlIiIiIiIiJlUQImIiIiI\niJhJBZSIiIiIiIiZVECJiIiIiIiYSQWUiIiIiIiImVRAiYiIiIiImEkFlIiIiIiIiJlUQImIiIiI\niJhJBZSIiIiIiIiZVECJiIiIiIiYSQWUiIiIiIiImVRAiYiIiIiImEkFlIiIiIiIiJlUQImIiIiI\niJhJBZSIiIiIiIiZVECJiIiIiIiYSQWUiIiIiIiImVRAiYiIiIiImEkFlIiIiIiIiJlUQImIiIiI\niJhJBZSIiIiIiIiZVECJiIiIiIiYSQWUiIiIiIiImVRAiYiIiIiImEkFlIiIiIiIiJlUQImIiIiI\niJjJ3toBREREpOLKzc0lLCyMgoIC07KUlBQA5s2bZ1rm6OhIcHAwtWrVKveMIiLlyaa4uLjY2iFE\nRESkYoqIiKB///7Y2dlha3tl4krJVwcbGxsAioqKMBqNRERE8OCDD1otq4hIeVABJSIiIjdkMBhw\nc3Pj3LlzN12vfv36ZGZmYm+vyS0iUrXpHigRERG5IXt7e0aOHImjo+MN13F0dGTkyJEqnkSkWlAB\nJSIiIjc1cuTIUvdA/VlBQQEjR44sx0QiItajKXwiIiJyU8XFxdxzzz2kp6df9/FmzZpx4sQJ0z1R\nIiJVma5AiYiIyE3Z2Njw17/+9brT+BwdHRk9erSKJxGpNlRAiYiIyC3daBqfpu+JSHWjKXwiIiJi\nlvbt23Pw4MFrlu3fv99KiUREyp+uQImIiIhZQkJCcHBwMP3t4OBASEiIFROJiJQ/XYESERERsxw+\nfJh27dqV+iHdQ4cO0aZNGysnExEpP7oCJSIiImZxd3enR48e2NjYYGNjg5eXl4onEal2VECJiIiI\n2Z566ins7e2xt7fnqaeesnYcEZFypyl8IiIiYraTJ0/SvHlzANLS0mjSpImVE4mIlC8VUCJiNZmZ\nmfzyyy8sX76czZs3k5eXZ+1I5c7W1pbOnTvz2GOP8dhjj9G9e3drR5Jysn//fqKioti6dStbt24l\nOTkZHZItw8bGBg8PD/z9/fH396dPnz506NDB2rFEpJJSASUi5erIkSMsX76c5cuXExUVhZOTEw88\n8AAPPvggtWvXtna8cldcXExsbCzr168nPT2d1q1b8/jjj/PYY4/Rp08fbG0107oqyMvLY8eOHWzb\nto2tW7cSFRVFVlYWdevWpUePHnh5edG2bdtK82O058+fB6BevXpWTmKe4uJiDh06RFxcHLt27SI7\nO5sGDRrQp08fU1Hl4+NDzZo1rR1VRCoBFVAiYlHFxcVs3bqVsLAwVq1aRWpqKk2aNGHQoEEMHjwY\nLy8v7OzsrB2zQjhw4ADh4eFEREQQGxtLvXr1GDBgAIGBgTz++OPUqVPH2hHFDMXFxezbt4+tW7cS\nGRlJZGQkqamp2Nra4unpibe3Nz4+Pvj4+NC4cWNrx62WMjMziY2NJTY2lri4OBITEykqKqJ169YE\nBAQQEBCAv78/nTp1qjRFrYiUHxVQIlLmCgsL+e2331i9ejVr1qzhxIkTtGnThiFDhtC/f386d+6s\nKyu3kJaWxrp164iIiCA6OhoHBwf69+/P8OHDGTp0KC4uLtaOKP+Rl5dnKpbi4uKIiYnh1KlTuLi4\n0LNnT1PB1KlTp2p5lbUyyM3NZd++faaCaseOHVy4cAE3Nzd69eqFt7e3qajSVSoRUQElImXi8uXL\nrF+/nrCwMH799VfOnj1L165d6devH4MHD6Z9+/bWjlhpnT17lt9//501a9awZcsWjEYjvXv3Zvjw\n4QQHB9O0aVNrR6xWjh49yqZNm4iLiyMyMpKEhAQMBgPt27fH09PTdHXJ3d1dV1crKaPRyOHDh01X\nqRITEzlw4AD29vZ07dqVgIAAvL296du3Ly1btrR2XBEpZyqgROSOXbx4kRUrVhAWFkZERAR5eXn4\n+PgwaNAgBg4cyL333mvtiFXOxYsX2bJlC+Hh4axfv55Lly7Ru3dvhgwZwuOPP067du2sHbFKKSws\nZPv27cTFxbF161a2bNnCyZMncXJyomvXrvj4+ODt7U23bt1o1KiRteOKBZ0+fZrdu3cTFxdHbGws\nCQkJXL58mSZNmnDffffh7++Pt7c3vr6+ODg4WDuuiFiQCigRuS2ZmZksWbKE1atXExkZidFo5P77\n72fw4ME8+OCD1K9f39oRq438/HwiIyOJiIhg3bp1ZGVl0alTJ4YPH05QUBDe3t7WjljpnD171tQV\nLzIykt27d5OTk0PDhg3x9fXF29ubnj170rFjR+zt7a0dV6zIYDCQlJTEjh07iIuLIzo6mqysLOrU\nqUO3bt1MU/78/f3176JIFaMCSkRu6cSJEyxbtoywsDCio6NxcnLiwQcfpF+/fvTv37/SdOKqyoxG\nI/Hx8axZs4Y1a9aQmZlJ69atCQoKYvjw4fj7++tm+D9Rswcpa2pOIVI9qIASketKTk5myZIlhIWF\nsW/fPpydnRkwYACDBw/WjdQVXFFREXv37iU8PJyVK1eSkpLCPffcw+DBgwkMDOSRRx6pllOMrm72\nEBsby44dO0zNHkoKJTV7kLJ0dXOKkv9KmlP07NkTHx8fNacQqYRUQIkI8N9246tXr2blypUkJSXh\n5ubGo48+Sv/+/enVqxeOjo7Wjil34MCBA6xZs4aIiAgSEhJwdXUlMDCQ4cOH89BDD+Hk5GTtiBah\nZg9S0ag5hUjVoAJKpBozGAz88ccfrFq1ihUrVnDs2DFatWrFoEGD6NevH97e3mo3XsUcP36cDRs2\nsGbNGuLi4qhZsyb9+vVj+PDhDBs2DGdnZ2tHvCNq9iCV1alTp0hISFBzCpFKRAWUSDVTUFDAunXr\nCAsLY82aNWRlZdG+fXsGDx6sduPVzNXt0Tdv3oydnR3+/v4EBQUxYsSICn3fz9XNHrZs2UJCQoKa\nPUiVcLPmFF27djUVVWpOIWI9KqBEqoHs7Gx+/vlnVq9ezfr167l48SLe3t4MHjyYAQMG0KJFC2tH\nFCs7f/484eHhRERE8Pvvv3P58mV8fX0JDg7miSee4J577rFatps1e+jcuXOp+5cqctEncqeubk4R\nGxvL3r171ZxCxIpUQIlUUadPn+bnn39m5cqVREREUFhYSO/evenXrx+PPPIIzZo1s3ZEqaBK2qOv\nWbOGjRs3cvHiRTp27EhwcDB/+ctf6Nixo0W3f6NmD87OzqYb79XsQaqz3Nxcdu7cSWxsLHv27GHH\njh1cvHhRzSlEyokKKJEqKD4+nvvuu4/Lly/Tq1cvHnroIR5++GEVTXLbLl26xB9//MG6dev4/fff\nyc7OZvr06UydOtUi24uJiaFfv37k5ubSqFEjvLy88Pb2xtvbmy5duqiRich1FBQUkJCQQHx8PHFx\nccTHx3P69Gnq1KlDeHg4vXr1snZEkSpFE8NFqqC0tDQuXbpEVFQUTZs2tXYcqcRq1apluj+usLCQ\n0aNHc+jQIYtt7/jx4+Tm5vL777/TunVri21HpCpxdHQ0XZktkZqayoMPPsjx48dVQImUMbXXEqnC\nXF1drR1BqhAHB4dymzKn+/JE7o7GkIjlqIASERERqzpz5gyrV69m7ty51o4iInJLmsInIuUiNTWV\nDRs2MG7cOABOnjzJ5s2b2bRpE+np6fz888+l1i8uLmbp0qVs2rSJ1q1bc+bMGfz8/Bg6dKjZ6xgM\nBj7++GOeeeaZu5rKOHToUHx9fXnrrbfu+DVKJCQk8NFHH7F7925q165Nv379+Pvf/25qR1xUVMR3\n333HkiVLSEtLo23btowbN45HH31U3bUqMGvs37frbjOV1XgC+PHHH0lLS2PHjh3s27cPT09PoqKi\naNOmDRMmTLir1zaHxqGI3A0VUCJicdHR0SxevJjZs2ebljVp0oSHH36Yv//977Rp0+aa58yZM4el\nS5eyZs0aXFxcuHDhAoMHDyYrK4sxY8aYtY69vT3jx4/njTfe4O23377jKS2NGjWiXr16t/28jIyM\nUl809+3bx+eff86rr75KrVq1mDdvHkuWLOHUqVMsWLAAgBkzZnDu3DlGjx5NamoqixcvZsKECeTk\n5DBixIg7yi+WZa39+3bdbaayGk///ve/mTlzJgkJCVy6dIm//e1vjB07lqioqDt6vVvROBSRsqYp\nfCJiUQcPHuTVV19l+vTpODg4lHrMxcXlus9JS0vj888/56mnnjKt4+LiwsiRI/n44485d+6cWevA\nlfvAJk2axLPPPktubu4dvYf58+fz4osv3tZzjh8/ziuvvFJq2bZt25gzZw49e/akc+fOzJ49m7p1\n67J9+3YATpw4QVZWFp999hkhISG8++67zJ8/H4B58+bdUXaxLGvv37frbjJB2Yyn77//nsaNG2Nv\nb4+zszNff/21xZocaByKiCWogBIRiykqKuLVV18lODj4thparFixAoPBgL+/f6nlfn5+5OXlsWTJ\nErPWKdGxY0datmzJzJkz7+4NmSkjI4MxY8aQlZVVavmzzz57zW+yGI1G0xSpjIyMa9qDBwQEUL9+\nfTIzMy0bWm5bRdm/y0J5jqe0tLRymQancSgilqICSkQsJjw8nMTERPr27Xtbz9uxYwdwZcrR1Uqm\n4SQlJZm1ztXuv/9+lixZwtGjR83OYTQaWb16NZMnTyY4OJji4mI2bNjAm2++ia+vL1lZWYwbN47O\nnTszdOhQkpOTAfjpp584ePAgp0+fvuF9U0VFRcyePZt//OMffPDBBwD07NmTRo0aXbNuQUEBXl5e\nZueW8lGR9u+7VR7jKTw8nLfeeou8vDzT2HjrrbdueCUrOzubmTNnMmvWLGbMmMHo0aOZMWMGFy5c\nMK2TmprKuHHjmDVrFpMmTSI4ONiUVeNQRCxFBZSIWMzKlSsB6Nq16209r+Qs75+nG5Xch3T8+HGz\n1rmal5cXRqORNWvWmJ3Dzs6OgIAAli1bxpkzZwDw9PRk5cqVZGZm8sMPP/Duu+8yd+5cdu/ezdtv\nvw3Ayy+/DFy5d+p6Z+nXrVvHiBEj+Oc//8kXX3zB4sWLudFvmsfGxnL58mUmT55sdm4pHxVp/75b\n5TGe+vfvbxoPJWNj5syZ122Nn5uby5AhQ6hVqxZTpkxh6tSpfPbZZ0RERBAYGMjFixcBGDNmDMnJ\nyUyZMoX//d//JSkpyTT+NA5FxFJUQImIxcTHx1O3bl3s7W+vX03dunUBrpnmU/J3YWGhWetcrWHD\nhgDExMTcVparv1Da2NjQtGlT3NzcAHjllVdo3rw5DzzwAA0bNiQhIcGs1+zduzcffPAB06dPJysr\ni7fffpulS5des57BYGDWrFl89NFHdO/e/bZyi+VVpP37bpXXeDLXl19+SWpqKqNGjTIta9CgARMm\nTOD48eN88cUXADz33HO88MILANja2uLq6sqRI0fM2obGoYjcKRVQImIxp0+fvuFN6zfj7u4OYDrL\nXKJk6k7jxo3NWudqzs7Opky343r3alzvS6azs7PZX2pdXFxo164dTz/9tOnM+PLly69Z75NPPsHX\n15cnnnjitjJL+ahI+/fdKq/xZK7Y2FiAa65O+fr6AhAXFwfAqFGjCAwMZMGCBcyZM4eCggIMBoNZ\n29A4FJE7pQJKRCzGzs4Oo9F4289r164dwDU3bJf87ePjY9Y6Vyspem40RcdaHnroIQBq1apVavn6\n9etxcnLi9ddft0YsMUNF2r/vVkUbT7a2V76enDhxotTykitfJVfMYmJiGDhwIK1bt2bSpEnXjCNz\naRyKyO1QASUiFuPm5nbNGW1zDBo0CFtbW7Zt21ZqeVRUFPb29gwbNsysda5Wcia9ZPpdeTDny3XJ\nF9QBAwaYlm3atImMjAwmTpxY6mqXpaZLyZ2pSPv33apo46nkSlNERESp5RkZGQDcd999APztb3/D\nxsaGBx98ELjSFAJKF3YahyJS1lRAiYjF9OrVi9zc3Bt22bp06RJw7Vnspk2b8uKLL7J48WJycnIA\nyMnJYfHixbz88ss0bdrUrHWudvbsWeC/Z9K/+OIL/P39CQsLu+l7KMlekhXg8uXL1+QuWa9kGp+b\nmxuZmZmlupd98803hIWFmfLm5+czc+ZMgoODTfd6bNmyhX/+858ALFy4kIULF/Ldd98xdepU/vjj\nj5tmlfJVEfZvc/fjssh0tTsdTyXj48/T7PLy8oD/jq3nn3+e9u3bs3DhQk6dOmVab9GiRfj4+BAS\nEgLA+fPnyczMJDY2liVLlpgK2t27d5ORkaFxKCIWcXt3voqI3IYnnniCsLAw4uPjTWeMS0RFRfHz\nzz8DVzp8zZ8/Hz8/Pzp16gTA5MmTuffee5k6dSrNmjUjNTWV8ePHM2LECNNrmLNOibi4OGxtbQkM\nDASunMlOT0/nvffeY/jw4dfNf+nSJebOnQvAyZMnWbBgAfn5+aSlpQEwZ84cxowZQ1hYmOkM9scf\nf8xrr73G3//+d2bMmMGvv/5Kx44dgStf9hYsWMCHH37IsGHDcHBwYMKECfTo0cOU8bnnniM/P5/o\n6Ohr8mzevNnMT17KQ0XYv83Zj8syU4k7GU+HDx9mxYoVpu1///33+Pv74+TkxIIFC4ArvxH17bff\n8uSTT/Lzzz8zZ84cJk+eTIcOHbCzs6N+/fosXrzY1Ljj7bff5oMPPmDq1KlMnz6d1157jY8//pjZ\ns2cTGhqqcSgiFmFTXNFuCBCRu7Zq1SqGDBlCcnIyNWrUsGqWp59+Gnd3d9555x2r5hg7diwNGzZk\n1qxZpmWHDh3itddeM7WjDTWNBwAAIABJREFUllsbO3YszZs3Z+HChRZ5/WXLlvHkk09y+PBh7Ozs\nLLKNslQR9m9r7McaTxWf0WjE3d2dn376SQ0wRMqYpvCJiEXNnj2biIgIi3XrMkd8fDwpKSlMnTrV\ntCw3N5fPPvvsur8PI2Iua+/f1tiPNZ5EpLpTASUiFtWwYUO++uor3nvvvVL3EZWXkydPMnfuXBYv\nXkydOnVMy48dO8Y777yDp6dnuWeSqsPa+3d578caTyIiKqBEpBx4eHjw+uuvs2jRonLdrsFgMN1H\n8eeb4Dt27FiuHfmk6rLW/g3lux9rPImIXKEmEiJVkIODAwBjxoxh0KBBDBw4kCZNmlg1U8uWLRk/\nfny5btPe3p4XXnihXLdZFeXn57N582bWrVtHdHS0Re+nKNl3hw0bhpeXF15eXvj4+NC8eXOLbbMs\nWGP/Lm8aTxVfWloasbGxxMfHm35suGRMiUjZURMJkSrIaDSybNkyli1bxtq1a8nJyaFHjx489NBD\nPPLII7Rq1craEaWCy87OJjw8nHXr1rFp0yby8/Pp1asXjz32GMHBwRbbhwwGA2vXrmXbtm1ERkYS\nFxdHXl4eTZs2xcvLC29vb7y8vPD09DR1YhOpjgwGA4mJiaZiKS4ujpMnT1KzZk18fHzw9/fHz8+P\nQYMGaayIlDEVUCJVnNFoJCoqirCwMH766SfS09O59957GTBgAIMHD8bb2xtbW83mFThy5Ahr164l\nPDyc+Ph4atasyeDBgwkMDCQwMJD69etbJVdKSgqRkZFs3bqVLVu2kJycjJ2dHW3atMHHxwdvb296\n9erFvffea5V8IuXh2LFj7Nixg7i4OGJjY0lJScFoNOLh4cF9992Hv78/AQEBtGnTxtpRRao8FVAi\n1czevXsJCwtjyZIl7N+/nwYNGtC3b18GDx7MAw88oDOV1czBgwf59ddf+fXXXzl48CAuLi78//bu\nPL6Ge3Hj+HOySiKy2GmprSiq9to1qS0R2lqCorW05dZarbhdfm1vL6UuRe1LaO+1q1qjthBbiqjG\nXltqiRAkJIgkJ+f8/lC5cikHSSaSz/u/zMyZec4cLydP5jvfadu2rTp27ChfX1+5uroaHfEeFy9e\n1O7du7V3715t375dO3fuVFJSkooWLaqqVauqdu3aql27tqpXry4nJyej4wKPLCUlRZGRkYqIiFBE\nRIQOHjyoixcvysXFRQ0aNFCjRo3S/3BQtGhRo+MCeQ4FCsjDDh06pNWrV2vlypUKDw9XgQIF5Ovr\nK19fXzVr1kxubm5GR0Qms1qtioiIUEhIiDZt2qQzZ86oaNGiCgwMVEBAgBo3bixnZ2ejYz4Ss9ms\nyMjI9CF/YWFhOnPmjFxcXFSlShVVq1ZNtWvXVv369Q27igY8SFxcnMLDwxUREaEDBw7o0KFDSkpK\nUqlSpdS0aVPVqlVLjRo1UvXq1fkjF5ADUKAASJJOnz6t5cuXa9WqVQoLC5ODg4MaNmwoPz8/tWjR\nQu7u7kZHxGMym83asmWLQkNDFRYWpujoaJUrV04dOnRQmzZt1KBBg1w3jPP8+fPasWOHtm/froiI\nCO3Zs0epqakqXbq0atWqpapVq6pOnTqqUqVKrnvvyNksFosOHTqkPXv26ODBg9q7d69Onz4tR0dH\n1alTR7Vr11ajRo3UsGFDlShRwui4AO6DAgXgHpcvX1ZISIgWL16sDRs2KC0tTTVq1Ei/H4bpinO+\nlJQUbd26VSEhIdq8ebPi4+NVuXJlderUSR07dlSVKlWMjpitrl+/rt9++y39PqqdO3cqPj5e7u7u\nql69evqwv1q1asnFxcXouMhFkpKS0u9bioiIUGRkpBITE+Xl5aUGDRqk37/00ksvZXi2FoCciwIF\n4IHi4+O1ceNGrVq1Sj/99JNu3rypmjVrytfXV61atVKZMmWMjog/Xb9+XevWrVNISIh27typW7du\nqX79+urUqZMCAgK4ufx/MDkFssLZs2fT79Fjsgcgd6JAAbBZUlKSNm7cqCVLlmjlypW6du2aKlSo\nIH9/f/n5+en55583OmKec/nyZa1fv16bNm3S9u3bZbFY1KJFC7Vt21atW7fml/9HwOQUeFRM9gDk\nTRQoAI/l7unRlyxZopiYGJUqVUq+vr7y8/NT7dq1ZTKZjI6ZK124cEEhISEKCQnRvn375ODgoObN\nm6tjx47y9/dXwYIFjY6YKzA5Bf4Xkz0AkChQADKBxWLRvn37tGrVKs2fP1/Hjx9XiRIl1KxZM/n4\n+DA9eiY4efKkVq1alT7deIECBdSuXbscPd14bsTkFHkHkz0A+CsUKACZ7s6zplatWqVff/1VXl5e\neuWVV+Tn56cmTZow/MkGd6YbDw0N1caNG3X8+HEVKVJEnTt3VkBAgBo1aqR8+fIZHTPPY3KK3IPJ\nHgDYigIFIEtFRUVp5cqVWrx4scLDw5UvXz41aNBAfn5+atmyJb+I3MVsNuuXX37Rpk2btGHDBp07\nd04lS5ZU+/bt1bFjR9WvX1/29vZGx8RDMDnF04HJHgA8LgoUgGxz6dIlrV27VosXL9b69etlZ2en\nOnXqyMfHR23btlWhQoWMjpjtUlNTFRYWppCQEG3ZskVxcXGqVKmSAgMD8+R047kRk1MYj8keAGQm\nChQAQ5w/f17Lly/XsmXLFBYWJrPZbHQkQ1WqVElvvPGGXn/9ddWqVYsJOHKx69eva8+ePdqxY4d2\n7typ8PBwXb161ehYeYKnp6fq16+vBg0aqGHDhqpbt67c3NyMjgXgKUOBAmC4uLg4bdu2TSkpKUZH\nyTJjx47V4cOH9fHHH6tcuXIZ1lWrVk2VKlUyKBmMZrFYdOTIER05ckRP+pW8YsUKzZ8/X4MGDVKD\nBg0yKeHTz2QyqXLlynrhhRf44wSAJ0aBAoBskJycrK5du+rnn3/WkiVL5OfnZ3Qk5CIWi0UDBgzQ\ntGnTNGnSJPXr18/oSACQazHHKgBkA2dnZy1evFidO3dWu3btNGfOHKMjIZdITU1Vt27dFBwcrKVL\nl1KeACCL8WAWAMgm9vb2mjVrlry9vdW7d2/FxcVp6NChRsfCUywxMVGvv/66du/erTVr1sjHx8fo\nSACQ61GgACAbmUwmjRkzRoUKFdKHH36oS5cuadSoUUbHwlPo8uXL8vPzU1RUlDZt2qQ6deoYHQkA\n8gQKFAAYICgoSB4eHnr//feVkJCgSZMmyc6OUdWwzblz59SyZUslJiZq69atqly5stGRACDPoEAB\ngEH69u2rYsWKqUuXLrpw4YIWLFggZ2dno2Mhhzt27JhatGihfPnyadu2bSpdurTRkQAgT+HPnQBg\noNdee01r1qzRxo0b5efnp8TERKMjIQfbt2+fmjRpomLFimnnzp2UJwAwAAUKAAzm4+OjTZs2af/+\n/fL19dXly5eNjoQcaOPGjWrSpIlefPFFbdy4Ud7e3kZHAoA8iQIFADlAnTp1tHXrVl24cEFNmjTR\nuXPnjI6EHOTHH39UmzZt1KpVK61atUr58+c3OhIA5FkUKADIISpXrqxt27bJYrGoUaNGOnbsmNGR\nkAPMnj1bgYGB6t69uxYuXMh9cgBgMAoUAOQgpUuX1s6dO1W8eHE1btxYv/76q9GRYKAxY8bonXfe\n0dChQzVjxgzZ29sbHQkA8jwKFADkMN7e3tqwYYOqV6+upk2basOGDUZHQjazWq0aPny4goKC9O23\n32r06NEymUxGxwIASDJZrVar0SEAAPdKTk5Wt27dtGrVKs2bN0/t27c3OhKygdlsVp8+fTRv3jzN\nnj1bPXr0MDoSAOAuXIECgBzK2dlZCxcuVI8ePRQYGKhZs2YZHQlZ7NatW+rQoYMWLVqkH3/8kfIE\nADkQD9IFgBzM3t5e06dPl7e3t959913FxcVp2LBhRsdCFkhISFC7du3066+/au3atWrWrJnRkQAA\n90GBAoAczmQyadSoUSpevLiGDBmi6OhojR8/nnticpFLly6pdevWOnv2rEJDQ1WrVi2jIwEA/gIF\nCgCeEoMGDZKXl5d69+6tq1evavbs2XJw4L/xp92ZM2fUsmVLpaamKjw8XGXLljU6EgDgAfjmBYCn\nSI8ePeTp6anOnTvr2rVrWrhwofLly2d0LDymAwcOqFWrVipYsKBCQ0NVvHhxoyMBAB6CSSQA4CnT\ntm1brV27Vps3b1br1q2VkJBgdCQ8hvDwcDVr1kylS5dWWFgY5QkAnhIUKAB4CjVt2lShoaE6fPiw\nfHx8dOnSJaMj4RGsX79ezZs3V506dbRhwwZ5eXkZHQkAYCMKFAA8pWrVqqXw8HBdvXpVTZo00Zkz\nZ4yOBBssXrxYAQEB8vf318qVK+Xm5mZ0JADAI6BAAcBTrGzZstq2bZucnJz08ssv68CBA0ZHwgPM\nmDFDXbt2Vc+ePTV//nw5OTkZHQkA8IgoUADwlCtevLi2bNmiMmXKqFmzZgoPDzc6Eu7jiy++UN++\nfTVixAhNmzZN9vb2RkcCADwGChQA5AJeXl5av3696tatq+bNm2vdunVGR8KfLBaLBg4cqK+++koT\nJ05UUFCQ0ZEAAE+AAgUAuYSbm5tWrFihNm3aqG3btlq8eLHRkfK81NRUvfXWW5o2bZp++OEH9e/f\n3+hIAIAnRIECgFzEyclJ8+bNU69evdS1a1dNnz7d6Eh5VlJSkt544w39+OOPWrZsmd58802jIwEA\nMgEP0gWAXMbe3l5Tp07Vc889p759+yoqKkqjRo0yOlaecu3aNbVt21aHDh3S5s2bVa9ePaMjAQAy\nCQUKAHKpoKAgubm5adCgQbp586bGjx8vOzsGHmS18+fPq2XLloqLi1NYWJiqVKlidCQAQCaiQAFA\nLta/f395eXmpZ8+eio+PV3BwsBwdHY2OlWudOHFCLVq0kL29vbZv364yZcoYHQkAkMkoUACQy735\n5pvy9PRUp06ddPXqVS1evFguLi5Gx8p1IiMj1apVKxUtWlQ///yzihUrZnQkAEAWYCwHAOQB/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VyIeueyirVVu+f+++V/P+8iU2fA5P8nnf+nPYZ/EKDdOX5fd+RuXrdtTR7XN1KGymKtZn+B4A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\nUhEREZJ0z9C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VLdcNHvdRfsOVNiXc6FKQKdYhCIhejWWPBgCJceW44uJqh2tiNtFTT8M6K3qZ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KCBDA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\n9913Xe2oAlENwdWpU6eUs1VN6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ggggEB6BQjg0+vL3BHIP4GNGze6WsjE2vVZ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\ngTQJqLdyBfO6jRgxwgoKCqJBiMYB9ze1f1abZQoC+Sig8ejV2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l01eZTcFlix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\ngVAKEMCHcrewUggggAA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EgiZAAB+0K0J9EEAAAQQQQAABBBBAAAEEEIghQAAfA4VNCCCA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"text/plain": [ "" ] @@ -906,10 +709,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: 誤分類サンプルはもうないか？\n", "\n", @@ -918,19 +718,16 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": true }, "outputs": [ { "data": { - "image/png": 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/81fSGs6orZ9o74bmz1rNCn+3HRN1/cxsUiJe2cyGmdlUM5tuZn82\ns5+F76FvyNWG7SrnNlcrTweHq4JznHOfSbpL0hZFXtZq87Rc6myf2lLVytWJzrlpif/6ScX/nsjV\nIsjV+cqVq2FdS0q6QNLvSliWY9US1FmutnybnXNN+ifpY0nbShom6dLwf4MkjQzlpeR79YfIn9E6\nIMRLF1jfFElTJQ2X9PNE3XhJ+yXiZSS5AuvaXP7Mer62byV/dqyrpP+T9HCq3kl6RP6sfI/Qph1D\n3d3yPd828gd0W4b//7WkN0L5F5I+kPRiom58KK8kabr8D0bDH+N0ScuG+pGSPpW0Tvjc2stfHXwk\n0b4P5Tulb0j6n6S/S1qqxO/tQkl/D+UO8juqT0N8mKS5ko4P772opN0lvS/pZ+H/zpU0NvE9zJK0\nd2jnyeH1gxLrGx3KnUNbTw2fW2dJm6XblGhnObf5Y1UpVxPL9JLkSmjbCpI+k2R56leRP6DvHT67\n1xtpyzhJK4bteFvS0aHuCvmDjvbh31byO6Gekr4K+beipE8kTQqv6Rm2vY2kTpImSvpN+Fw2lDRN\nUu+w7O2SvpY/kG/4eziwkTYeKGmm/N/V1MY+rzzbnsyfdvJnOGfJn3XqF3LtD/J5vGho3xfyV3za\nyh90fRzqFwnbeXL4LPaW/4FryId+ic+grfw+59rwGST/znNtSm1fi7dZGeRpYtkHJP1+Yc1T+X3Q\n15JmyJ9MOaaUHK3zfertYXtnyJ/B3asJ2/yxqpirkrYM34+TNFvS9uQquVqjufqX8FmsKp+v7Qq0\njWPV1perzd7m3DqasnAqydeV3zksqzjJD5E0LvWaFyQdlmd9W4QPdTFJZ0maLKlLqPugIclC3D4k\n4qp51nWJpPMKtP0WSQ+Ecl/5A7NuqSTfMhEPlXRmKN8h6SZJ3VPrXFTS95KWDl/Q2ZImSVpcfnjl\n9WG5MyTdmXrtk5IGJpL84iKf/Zzw+a8Z1n+fpLuakORz5H88vpA0QtLGiaT8NLX845KOSMRt5M+G\nrCJ/5ubfiToL29xYkh8g6T/F/vAqtM1Vy9XEMqV2yI6Qv/qbr/5cSa+F8kryZ4c3TG3bwYn4SklD\nQvliSQ9K6tXIeidK2kjS/iGfx0laW/5A4aGwzH6SRqVed6OkC0L5dkl3lPIdhOXXkP/bXL7E5Q+T\n32l+JX/Q8m9J24a6fiEnOiaWHyzpktQ63pX0S0lbS/pciYM0SWPVeIesr/wP2wI/pGqkQ1aubc4i\nT8Nyh8v/3S6zsOap/MH5ivKd8V/I/5AeUOJ3fKHqc5+6kfzvVTv5g65Z8kMDS9nmrHJ1pbBta5Kr\n5Gqt5aqkPpJeC+1cVcU7ZByrtr5cbfY2N/xr9l0WnXNvyvfQz0xVNZwlSvpEfgfY2HrGOOe+c859\n65y7Qv5L2CpUfyMpOYm3oTwrT7PyDlcws0Ul7SM/REfOuRfke/kHphadnCh/K//BSv4ytEkaZ2Zv\nmdnhYT3fSXpZ8w/+npM/4Nsi/N9z4fWrSNonXAL+yvywpy3lz+o1mJhnuxp8J+k259x/nXPfSLo8\nbHOphjrnujjnujnnfu2cS45vTb/3KpKuS7R1Rtj+leS/49zyzmdjvravLN+xbq6WbnO1crWpig2t\nOVTzc/Uz+TwamFomX65eJX/GaLj5m0wkt/s5+U5IQ66OlM/TdK5ulsrVg+SHDTQolqs5zrn35M/o\n3lDqa+R3ol2cc8s45zZ3zj2dqJvqnPs+Ea8i6dRUe1eW/35XlPRZyNEG6e+8wcqSPnHOzW1COxvV\nnG2uZp6a2QD5s/47uXhYWFqrzlPn3ATn3OfOuZ+cc2MlXSd/NrVUdbdPdc696vxwmrnOucfkv789\nm7iOqu5TQ249IemfBZpFrhZGrsbKkqth+OENkk5swm8Hx6qF1V2uqgzHqi297f0Fko5UnMCfy39A\nST3khxKUwmn+GM+35CfGNfi5pCnOuenpF5mfoLuCpFfzrHcP+Q7dDebv2jg5tDu9Q268Uc5Nds4d\n6ZxbUdJvw3oaxrM/J3/Jd0NJL4V4B0mbSno+LDNR/qxDl8S/Ts6536e2vZDXU8sUW74p0uuaKOm3\nqfYuGn4I/iefvJJy451XVuMmqvExxo29Z2PKtc2VztWSmVl7+R3gU3nqfyF/heWsRK5uJulAK2ES\nq3NulnPuVOdcT0m7STrFzLYJ1Q0HD1uF8nNa8OBhoqTnUt/94s65Y5Jv07StVjtJqzfxNfk0lquX\npdq7mHPubvlcXalhfH3QI896J0rqkeczbk7eNWebK56nYUz8zfIT1N/I96KFNE+b9TddYF1JtbJP\nbew1zdnmau9T8/49kastRq56zcnVJeSvkN0T8uqlUD/JzBY4ucCxaovVaq62eJtb1CFzzr0v6R7F\ndxJ7TNKaZnagmbUzs/3kL7U/kn69mfUwsy3MbBEz62hmp8uP+RwTFrlD0hFm1tv8pMxz5S/tN2Yn\nSU+EHnBjBsrfHGA9SRuEf1tI+rmZrVdsW81sHzPrHsIv5T/seSF+Tv7s2wTn3Bz5M2SDJH3knJsa\nlvm7pF3NbAczaxu2t19inaW4TdJvzKynmS2mMIY10caPzeywJqyvkCHyP17rhHUvaWb7hLpHJa1j\nZnuGH7MTFJ/pS3pE0gpmdpKZdTCzzma2WaibImlVa+QuPQkFt7lUlc5V8zrKz1lSWCbfnZG2lJ8b\nMDNP/UD5A4vemp+r68oPOdip2Laav8FFr7Dz+Vp+aE4yV38laVHn3CRJoyTtKD+M4T9hmUfC53KI\n+cm/7c1sE/M3tyiJ+dsLdwvl3vJDPJ5J1I80swtLXV8RN0s62sw2C99DJzPbxcw6yw9BmSvphLAd\ne8r/+DRmnPwO/PdhHR3NrOGGF1MkdTezRfI1otg2l6IKefpr+TOveznnxhVpzsKQp7ubWdeQN5vK\nf+4PJupb3T7VzPY2f/v3Nma2vfzNLR5q6sZUIVcPMrMeobyKpMuU/++JXCVX86pwrn4tfyWmIa8a\nropsLOnFRprDsWorzFWV4Vi1HA+Gvlh+wqokKVy96i8/MW66/OXT/i4MizGzIWY2JCzeWX7+x5fy\nZyV2lB9CMz2s6wn5cdzPyl+y/UT+TEdj8t5C1MxWkr+985/C2YOGf6/ID4Mo5czDJpJeNLNv5HcI\nJ7r5t5wdK79jbzjDMEF+rG5DLOfcRPnJh2fLz1OZKOl0FfgOzN/hJfe8FOfcX+U7qS/KfxY/KOxg\nwoHi0vLzbVrMOXe//I0T/mlmMyW9qfDDFb7LfST9Xv47XkPzO9Hp9cySnxS6q/wl9vc0/w5SDXej\nmm5mrzZ1m5uhYrkqf6btO82/y+J38vOYGlMoVztK2lfS/6Vy9SNJd6q0XF1D0tPyQ35fkHSDc+7Z\nsM3/Df8/KsQz5SejjnHhdsLhO9tefk7E5/LfW8NNNBoVDp6Sd5jcQtIb5u8Y9lj4d3aifmXlyZmm\ncs69LH/288/y38/7CndjDT86e4Z4hvxcjmF51vOTfJ72kt/fTArLS34c+1uSJptZQ340dZtLVck8\nPU/+5iiP2fzn6eR7JtPCkKf7y+fLLPn9zB+cc38Ly7bKfar8TXI+kx9ydZWkI51zI5u5WZXM1d6S\nxoa/pzHy+9Mj87SDXCVXi6lIrjovl1fyx3eSH801p5F2cKzaCnO1HMeqlr+TXj9Cz3eypJ4FzpC1\nama2paRjnXMHZN0WFGZmEyTt7ZybkHVbshDOtA11zjX7FsOoPPKUfWq9IFfJ1XrAsSq5Wkhr6ZB1\nkx+CU5dPNMfCI5wdOiU1HhuoKeQp6gW5inrBsSoKaRUdMgAAAACoR+WYQwYAAAAAaAY6ZAAAAACQ\nkaLP36gFZsa4yhrmnCvXs1DqHrla28hVjzytbeTpfORqbSNXPfK0ttVDnnKFDAAAAAAyQocMAAAA\nADJChwwAAAAAMkKHDAAAAAAyQocMAAAAADJChwwAAAAAMkKHDAAAAAAyQocMAAAAADJChwwAAAAA\nMkKHDAAAAAAy0i7rBiC2+uqrR/FZZ50VxQceeGAUb7vttrny2LFjK9cwAAAA1KQuXbpE8YgRI6K4\nU6dOUbzWWmtVvE0oHVfIAAAAACAjdMgAAAAAICN0yAAAAAAgI8whqwHdu3fPlR977LGorlevXlH8\n008/RfHcuXMr1zAAAFA2a665ZhSfdtppufJWW20V1a244opRfPDBB0fxww8/XObWod507do1V376\n6aejup///OdR/N5771WlTWgerpABAAAAQEbokAEAAABARuiQAQAAAEBGmENWA4444ohcOT1nLO22\n226L4nHjxlWkTQCA0i266KJRnHxGpCR99tlnUfzqq69WvE3I3h577BHFQ4YMieJ///vfufKJJ54Y\n1Y0fPz6Kp0yZUubWod4k54xJ8byxDTbYIKqbN29eFDPnsLZxhQwAAAAAMkKHDAAAAAAywpDFDPTp\n0yeKzzjjjLzLjh07NopPOumkirQJ2VthhRWiePXVV8+77A477BDFu+22W0Xa1KZNfM4medvca665\nJqqbNGlSFH/88ccVaRNQTukcT956fPPNN4/q0vvu5N+hmUV1b7/9dhQPHjw4ihmyWNuS3/Whhx5a\ncNm2bdtGcfJRNulbj1955ZVRfPXVVze3iVgIpY8X08MUk2666aYoPv300yvSJpQHV8gAAAAAICN0\nyAAAAAAgI3TIAAAAACAj5pzLug1FmVntN7IJrrjiiihOjglO38Z+5513juIZM2ZUrmHN5Jyz4kst\nHFqSq+nvfuONN25xe1oqPS+m0P5iwoQJUbzTTjtFcXqOWRbIVa/e96npeRPpW8pPnTo1V15++eWj\nuoEDB0bxPvvsE8UbbbRRrpzO/3QO33r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RwnaZcibesQPv/lCtQvI7+x20f+rO4MSR1T9aMk/U/S+uHzGiXpilB3kqSHwzzahXXX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\n+7ukjyX1NIvuINerwHwnS+pVYB2Xu7xS0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AskDcs23Dk3LfMj/ytJG9fzenyN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XwnW2Ib5f/vKI9Gv1lr8d6iT562PT47jOkHRHZvotJX1dYH36aeGBhh9I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\nufjii4u2Y+ONN47i9DP1dt1116L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rmXn7hHkKfnfbQq42dZ2rmafyZ1bGKRzQUOkOWbvY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\nJ0KOqes4OOdmyl8x6GD5ozOT5S85XfAHm/kbLL8RHr8g3Xb5o9uLQrzQzJa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ZAAAAAATCHLIacNRRR2XK6TljaTfddJMXP//88xVpEwCgcCussIIX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\nV9dff/1MOT2HbKONNip5vemx6pX6vrj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4sVLNEnUWP0p4kVY2/RmFgeSxI7wS52RKMC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\nNC5PnDgxqJs6dWrRbUjvN61Dhw5xuWfPnkVvF7XlkEMOictHH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AAZYUAGAAAAABlhQAYA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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -943,10 +740,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Chainerの特長 - (1) デバッグのしやすさ\n", "\n", @@ -955,10 +749,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 定義: 予めバグを埋め込んだMLP実装\n", "\n", @@ -967,11 +758,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 21, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, + "collapsed": true, "scrolled": false }, "outputs": [], @@ -992,16 +781,13 @@ " y = self.l3(h3)\n", " return y\n", " \n", - "enable_cupy = True\n", + "enable_cupy = False\n", "n_epoch=5" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: スタックトレースを見るとエラー箇所が判る\n", "\n", @@ -1012,11 +798,8 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 22, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": true }, "outputs": [ @@ -1027,19 +810,21 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mInvalidType\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mMLP3Wrong\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# MLP3Wrong\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mtrain_and_test\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mMLP3Wrong\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# MLP3Wrong\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mtrain_and_test\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;32m\u001b[0m in \u001b[0;36mtrain_and_test\u001b[0;34m()\u001b[0m\n\u001b[1;32m 20\u001b[0m ['epoch', 'iteration', 'main/loss', 'validation/main/loss',\n\u001b[1;32m 21\u001b[0m 'main/accuracy', 'validation/main/accuracy']), trigger=log_trigger)\n\u001b[0;32m---> 22\u001b[0;31m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 23\u001b[0m \u001b[0melapsed_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclock\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mtraining_start\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 24\u001b[0m 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\u001b[0;36m__call__\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m 90\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mcuda\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_device\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_device_id\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 91\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_initialize_params\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m \u001b[0;34m//\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 92\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mlinear\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinear\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0;36mraise_from\u001b[0;34m(value, from_value)\u001b[0m\n", + "\u001b[0;32m/Users/karaage/.pyenv/versions/anaconda3-4.4.0/envs/chainer/lib/python3.6/site-packages/chainer/training/trainer.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 294\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobservation\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 295\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mreporter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscope\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobservation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 296\u001b[0;31m \u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 297\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mlinear\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinear\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mW\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/Users/karaage/.pyenv/versions/anaconda3-4.4.0/envs/chainer/lib/python3.6/site-packages/chainer/functions/connection/linear.py\u001b[0m in \u001b[0;36mlinear\u001b[0;34m(x, W, b)\u001b[0m\n\u001b[1;32m 106\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mLinearFunction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mW\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 107\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 108\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mLinearFunction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mW\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/Users/karaage/.pyenv/versions/anaconda3-4.4.0/envs/chainer/lib/python3.6/site-packages/chainer/function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *inputs)\u001b[0m\n\u001b[1;32m 186\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 187\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mconfiguration\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype_check\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 188\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_data_type_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0min_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 190\u001b[0m \u001b[0mhooks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mchainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_function_hooks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/karaage/.pyenv/versions/anaconda3-4.4.0/envs/chainer/lib/python3.6/site-packages/chainer/function.py\u001b[0m in \u001b[0;36m_check_data_type_forward\u001b[0;34m(self, in_data)\u001b[0m\n\u001b[1;32m 290\u001b[0m \u001b[0min_type\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtype_check\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_types\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0min_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'in_types'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 291\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mtype_check\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_function_check_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 292\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcheck_type_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0min_type\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 293\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 294\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcheck_type_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0min_types\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/karaage/.pyenv/versions/anaconda3-4.4.0/envs/chainer/lib/python3.6/site-packages/chainer/functions/connection/linear.py\u001b[0m in \u001b[0;36mcheck_type_forward\u001b[0;34m(self, in_types)\u001b[0m\n\u001b[1;32m 21\u001b[0m \u001b[0mx_type\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0mw_type\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m \u001b[0mtype_check\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx_type\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mw_type\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 24\u001b[0m )\n\u001b[1;32m 25\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtype_check\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0meval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_in\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/karaage/.pyenv/versions/anaconda3-4.4.0/envs/chainer/lib/python3.6/site-packages/chainer/utils/type_check.py\u001b[0m in \u001b[0;36mexpect\u001b[0;34m(*bool_exprs)\u001b[0m\n\u001b[1;32m 512\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mexpr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbool_exprs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 513\u001b[0m \u001b[0;32massert\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTestable\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 514\u001b[0;31m \u001b[0mexpr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexpect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 515\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 516\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/karaage/.pyenv/versions/anaconda3-4.4.0/envs/chainer/lib/python3.6/site-packages/chainer/utils/type_check.py\u001b[0m in \u001b[0;36mexpect\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 470\u001b[0m raise InvalidType(\n\u001b[1;32m 471\u001b[0m \u001b[0;34m'{0} {1} {2}'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlhs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrhs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 472\u001b[0;31m '{0} {1} {2}'.format(left, self.inv, right))\n\u001b[0m\u001b[1;32m 473\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 474\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mInvalidType\u001b[0m: \nInvalid operation is performed in: LinearFunction (Forward)\n\nExpect: prod(in_types[0].shape[1:]) == in_types[1].shape[1]\nActual: 784 != 748" ] } @@ -1051,10 +836,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## Experiment 1.5 - 自分のモデルを作ってみよう\n", "\n", @@ -1065,10 +847,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 定義: オプションを駆使して新しいモデルを作る\n", "\n", @@ -1082,11 +861,9 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 23, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, + "collapsed": true, "scrolled": false }, "outputs": [], @@ -1108,28 +885,21 @@ " y = self.l3(h2)\n", " return y\n", "\n", - "enable_cupy = True # Use CuPy for faster training\n", + "enable_cupy = False # Use CuPy for faster training\n", "n_epoch = 5 # Add more epochs?" ] }, { "cell_type": "markdown", - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: 95%以上の精度をもつモデルができただろうか" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 24, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1138,12 +908,12 @@ "output_type": "stream", "text": [ "epoch iteration main/loss validation/main/loss main/accuracy validation/main/accuracy\n", - "\u001b[J1 600 1.39252 0.612424 0.663833 0.854 \n", - "\u001b[J2 1200 0.495284 0.394149 0.870951 0.8907 \n", - "\u001b[J3 1800 0.379733 0.334282 0.894834 0.9053 \n", - "\u001b[J4 2400 0.335512 0.303746 0.905051 0.9146 \n", - "\u001b[J5 3000 0.308279 0.285552 0.912934 0.9193 \n", - "Elapsed time: 9.880\n" + "\u001b[J1 600 1.36528 0.608538 0.6746 0.854 \n", + "\u001b[J2 1200 0.496896 0.394733 0.86975 0.8903 \n", + "\u001b[J3 1800 0.379608 0.332436 0.8938 0.904 \n", + "\u001b[J4 2400 0.333149 0.303516 0.905417 0.9139 \n", + "\u001b[J5 3000 0.30499 0.282246 0.912367 0.9194 \n", + "Elapsed time: 20.409\n" ] } ], @@ -1154,10 +924,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: もう失敗しない？\n", "\n", @@ -1166,19 +933,16 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 25, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": true }, "outputs": [ { "data": { - "image/png": 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uTnTOTUv8148q/vdErhZBri5QrlwN61pS0gWSflfCshyrlqDOcrXl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\namJNIFe9SuXpMsssE8XJ29xL0nrrrZc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QR0l6+eWXozg97HDChAktamc5kKtepfI0OVRQ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\nbdtD0j8L1B9f97nJ73DNk3Roon60pIsT8ZmSng7lU8L3MaC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ofpvgqfXzv579VH4TPpKN/pWFE+/14Ky9RePo/flz9SWfe5LZA/GrRUeG1vpTZU8juT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\nSy65JIpvueWWKF60aFGRVlcGu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M7wWteE7VrLzAZY6uxiyMUXU/F4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\n5ob3uDY2+RyudYr8sP83wnoekJ+7Uidbfv+r2qP6PeQ/j5/L/3i8xTl3Q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ANER27OOLL77YqOVkx5Adf/zxjW4TFuIM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\npI6ShkkaWeK7cSdJrznnZhV4zp6SdpTkJO29tNvQVIrkS6XfMVm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ZAAAAAATCHLIacNRRR2XK6TljaTfddJMXP//88xVpEwCgcCussIIX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\nV9dff/1MOT2HbKONNip5vemx6pX6vrj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DChYONCaSrWnLG4KVOmWHH8sve57oNROqJ/L+O3kLntttusOHrNgnJQr169lH0//PBDEUdSXBwh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\nhb//S/qNp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865Oc65b51z/25kGzWbq/Eb2MzUj5ZIWr+R5+N7qilXm7jPZX9N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\nvvvuSXuXXXYJOJLSmzJlihePHj060EjC4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ABARuiQAQAA\nAEBG6JABAAAAQEaYQ5bQqlWrIG7Xrl1cnj9/fqmbU6+ddtopiJ966qm4/MEHH+RddurUqS3XMAA1\nb/DgwUF8yCGHBPHRRx+d87HLLRceH1y6dGnB273rrruC+KSTTorL06dPL3g9QH369OkTxDfccEPe\n5T///PO4fOuttwZ16RioROm5j+m4mM9veJwhAwAAAICM0CEDAAAAgIwwZDFh6623DuI777wzLg8c\nODCo++STT0rRJLVp0yaIzzzzzCBOniZeZ511grorrrgiiIcNGxaXlyxZ0lxNBFDDTjnllLh8zjnn\nBHWdOnUK4nyX+E4PcSnmcuAHH3xwED///PNxOX3ZcaBYG220URCvssoqQTxjxowgvvnmm1u8TQCq\nC2fIAAAAACAjdMgAAAAAICN0yAAAAAAgIzU9h6xt27ZBfNZZZwVxz5494/Lf/va3oO7EE08M4kmT\nJjVz67wNNtggiAcNGlTwY9OXnP7d734Xl6dNm9a0hiFTa6+9dhAfeuihcbl///5BXfqy37/61a+C\neNSoUXG5e/fuQd0dd9yRsw3JOZaStNVWWwXxmmuuGcT33HNPXJ41a1bO9aKyJOfT/PDDD0HdN998\nE8RjxoyJyxdffHFQl56Hk9atW7e4/M477xTdTqCxjjjiiLz1I0eODOJkngPVYoUVVojL6d8KaDrO\nkAEAAABARuiQAQAAAEBG6JABAAAAQEZqeg7ZGmusEcS77rprzmV33333ID7mmGOC+Lzzzmu2diX1\n6NGj0Y999tlng3jmzJlNbQ7KRPqeecXkX/p+T/vss0/OZbfddtucdccff3wQp99PXbp0CeKdd945\nLqfnsTU0fwjlK3lvxPR9EptTr169WmzdQFry8yz52VWfu+++u6WbA2Ru+PDhcTl5TQI0D86QAQAA\nAEBG6JABAAAAQEZqeshiU6y77rol2c7RRx9d8LLffvttEF9wwQVBvHDhwmZpEyBJG2+8cVHLH3DA\nAXH54YcfDupGjBjRLG1C9Ujf2iF5e4a09GXwGUKGpkreFqdTp04ZtgQoD2eccUZcds7lXfbSSy9t\n6eZUHc6QAQAAAEBG6JABAAAAQEbokAEAAABARmp6Dll6jkI56NChQxCvuuqqBT82fZn78ePHN0ub\nUH5GjhwZxOPGjYvLjz32WFD31ltvBXG7du2CeL/99ovLL774YlC3zTbbNKmdQKHSn3XpS+gnL0M+\nf/78oC45P1GSpk+f3sytQ605+eSTs24CkKk777wziM0sLqfnkJ1wwglBnP6NgoZxhgwAAAAAMkKH\nDAAAAAAyQocMAAAAADJS03PIDjrooJJsJ33PsvQ8sWQ7evfuHdRtu+22LdcwVKwlS5YE8aRJk+Ly\nPvvsk7NOklq3Dt/2m2++eVyeMGFCUJeeZzls2LC4/Mtf/rKIFktvvvlmXH7yySeLeiyqTzq3rrnm\nmiDeeeedgzg5Z+GHH34I6nbaaacgTs51SOc0UIj093Q52HPPPYP43HPPjcvJz1dJOv/884N48uTJ\nLdcwVIUNNtggiDfaaKMgTn4Gf/zxx0Hda6+9FsTp3yhoGGfIAAAAACAjdMgAAAAAICN0yAAAAAAg\nIzU9h6wp1lxzzSD+61//GsRdunSJy3vssUdQ16pVqyDu1KlTs7Tp7bffbpb1oLJ9+umneesXL14c\nxM8//3zOZadNmxbEAwcObHS7Zs2aFZe//vrrRq8HlaN79+5BfOKJJ8blo446KqhL3mdM+vF9bpLS\nn5nXXXddECfvU5a+l85ZZ50VxN99913O7aB2JechJsul2qYk7bvvvkGcnhfWv3//uJycCyxJgwYN\nCuIdd9wxLk+cOLFJ7UT1SM4bu+mmm4K69PUPkkaNGhXEr776avM2rAZxhgwAAAAAMkKHDAAAAAAy\nwpDFRkoPD0jH+aSHJeQbmtOQZ555Ji7/+c9/bvR6gPqsvPLKQZwe7pXPhx9+GMTFXiYfle+iiy4K\n4nw5kL6M8rhx44L4qaeeisu77LJLULfddtsFcb9+/XJuc9NNNw3i9JDyb775Jmcb80lfMvrzzz8P\n4nnz5jVqvchG8nu5Kd/RxUgPUbz//vvzLp+vXelpFcn3T/p2Oo3NeVS+5O1HtthiiwxbAs6QAQAA\nAEBG6JABAAAAQEbokAEAAABARphDVuEWLlwYlxctWpRhS1CNTj311CBu165dwY995JFHgrihy/Gj\n+rzyyitBnJzPlb4c/cknnxzE06dPz7ne++67L4i7du0axL/61a/i8oUXXhjU/exnPwvi9OWak5cH\n/+STT3K2QQov49+3b9+grpj5lig/M2bMKMl2krmbvqx9Wvp2Ibfddltcfv/994O6M888M4h/+tOf\nxuXDDjssqLvqqqsKaywqXvpWJOnL1+eTnAc7adKkZmsTPM6QAQAAAEBG6JABAAAAQEbokAEAAABA\nRmpuDlmPHj3i8tChQ4O69P3BWkq+uV5t2rQJ4obuWfbcc881X8NQ89Zdd90gTt8XJ5/kfEZJevLJ\nJ5ulTahc//znP/PGzSU93+ySSy6Jy/fee29Q9+9//zuIV1999SD+xS9+EZdnzpwZ1KXnhS1evDgu\nDx48OKj7/vvvG2o2ytj1118fl//f//t/Lbadc889Ny73798/qPvggw+CeMiQIUGcvtddUvr+e8k5\nZBtttFGxzUSVWLBgQRAn73W3//77533st99+G5ffe++95m0YOEMGAAAAAFmhQwYAAAAAGam5IYvT\npk2Ly4cffnhQ97//+79B3K1bt0ZvJ3l52ueffz6ou+yyy4I4OXTyN7/5TVCXHqKY9tZbb8Xl9OVM\n08NtksNrgPo8/PDDQbzWWmsV/Nh07j799NPN0iagKSZMmBDEw4cPD+Jbb701iJOXyU8PGR87dmwQ\nJ4eF5Rs+hsqTHIKdHKol/fi7Nj3sNZ+RI0cG8UEHHVTvNiVpt912C+KJEycWvJ18pkyZ0izrQeVJ\nXrpekkaMGBGXGxqy2Lt377iczs1x48Y1Q+tqG2fIAAAAACAjdMgAAAAAICN0yAAAAAAgIzU3hywp\nfTnkZ555JoiTY2v79u0b1L3//vtB/OCDDwbx3XffHZfTlxlNS85VS8/Dacjf//73uLxkyZKgbuDA\ngUHcXOPPUdlatWoVxMcdd1xcXm211Qpez+uvvx7ETzzxRNMaBrSA5ZdfPoiLuRx98jtAkk466aQg\nnj17duMbhrKWnGd18803B3WnnXZaEF977bVBPGPGjLj8zjvvBHXpuTfJz+MzzzwzqGvoO3vFFVeM\ny4ccckhQl76E/rPPPhuXL7300rzrRfVKXxvhtttuK/ixL7/8clxOzrVF8+AMGQAAAABkhA4ZAAAA\nAGSEDhkAAAAAZKSm55Clfffdd0E8ZMiQkmw3eS+xYvXq1Ssup8exM2cM9fn1r38dxFdffXWj1pMe\nez516tRGtwloTltuuWVcvvLKK3PWNeQ///lPEDNnrDbdcMMNQTxs2LAg7tGjRxAn7zU2Z86coK5z\n5845t3PFFVfkbcfmm28exMl76u299955H5u8H2pD89pRvfbaa68g7tixY8GPfeihh+Ly/Pnzm61N\n8DhDBgAAAAAZoUMGAAAAABmhQwYAAAAAGTHnXNZtaJCZlX8jm+CUU06Jy3/5y1+KeuyoUaPi8jHH\nHBPUlWq+g3POSrKhClAJuTpmzJggHjx4cM5lf/jhhyBO3n/n+uuvD+oWL17cDK1rWeSqVwl5WoxD\nDz00iK+55pq4nG/OTkNWXnnlIJ4+fXqj11UM8nSZcszV9DzE5Nwa6cd5U6gPPvggiN98880g3n33\n3YM43/yf5HtACj+7i7kXX0PI1WXKMVfT0vfQ7devX8GPTd/DtNKUe65yhgwAAAAAMkKHDAAAAAAy\nwmXvM7DCCisE8e9+97uCHztjxowgPvfcc+Myl2RGc0vnW3oYDFAqrVsv+7oaNGhQUJfOy+QtGI46\n6qig7u677w7i5ZdfPojHjx8fl0s1RBGV5b///W8QX3LJJUF89tlnx+Xu3bsXvN711lsviNddd928\ny3/zzTdx+fLLLw/q0rczSQ8/R2246KKLgrhPnz4FP3bmzJnN3BrkwxkyAAAAAMgIHTIAAAAAyAgd\nMgAAAADICHPIMrD++usHcc+ePQt+7H333RfE7777brO0CQDK2dFHHx2X07dc+OSTT4L4oIMOistX\nXXVVUNeuXbsgTt/6JT3nAmhIOsf+/ve/x+UTTzwxqOvSpUsQ//73v4/Lbdu2DermzZsXxOl5Yffe\ne29cfuONN4poMWrFKqusEsTpHMtnjz32aO7mIA/OkAEAAABARuiQAQAAAEBG6JABAAAAQEaYQ5aB\ntddeu+Bl33vvvSA+9dRTm7s5qHJDhgwJ4m222abgx3700UfN3RygIBtssEEQ55vblZ5TdsMNN8Tl\nAQMGBHXpOWPp+zeNHTu2mGYCP7JgwYK4fMUVV+RdNnnPMgC1izNkAAAAAJAROmQAAAAAkBGGLGbg\nscceK3jZH374IYjnz5/f3M1BlevcuXMQr7DCCjmXXbp0aRBfdtllLdImoCHp24N07do157LpYWFm\nFpcbGqJ41llnNbaJAFDWLr300iC+//77g/j000+Py2eccUZQx22VSoszZAAAAACQETpkAAAAAJAR\nOmQAAAAAkBHmkGUgPS/stddei8ubbbZZUPfiiy+WpE2oXgceeGDBy6bnN44ePbq5mwO0uPHjx8fl\nhx56KKi79tprS90cAMjEhAkT8sZ8x5cPzpABAAAAQEbokAEAAABARuiQAQAAAEBGLH2PlnJkZuXf\nyBrmnLOGl6oN5ZirO+20UxDfe++9QdypU6e4nJ7D+MYbb7RcwzJArnrlmKdYhjxdhlwtb+TqM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CILNQikq6UwkWpL2QiNBIpFS0C8xilrVe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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1191,27 +955,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: 自分の作ったベストなモデルの内部を見てみよう" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 26, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ { "data": { - "image/png": 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+JDI1NVVpaWmqqqpSnz59NHHiRIWGhsrPz49JJDqd5itl+fn5MplMys3N1Zkz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\noJkzZ8rJycnoEgEAANBJEI4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n+vp6s0uRJEVERCgnJ0dBQUFauXKl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\n+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tURHh6u8PBwLVu2TL169brqlb6qqipNnTpV06ZN069/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\nNm7cqKysLE2cOFEvvfSS+vbtq5iYGJWUlFx2H5PJpPnz56uqq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6Wmpio4ODjL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2PVO9pZr0nqZfN36j02E/qk77T1S5XledO7JRklSyQr2/PTflX2wnS1qqLp36RWcPrtWZg8Fq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\nAElFTkSuQmCC\n", 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8pT12vL9THem8Wj/34YcfdoJE9RpM+n748OEuWNVdd91lxx13nD344IPBXficZQQaNWpk\n//znP939oiVdFLxEArhnz552xx13hLcr9oFPWupK++g+03rppYmKH6stWbFihd1yyy1ucKqwga14\n2pJ49vFlKeo93rbkr3/9qz3xxBMugJsGDm699VZ3/yqaamFJbcbjjz8e8XUutCVa83fw4MEuAJUi\nsQ8bNsxOOOGEiHLqD9qSAkiycoPuEV3Lr776akLzH6t90AlS1dfgXsy+5zqiOKG3IAeDAASKIiDr\n0OWXX+4CHihEvk9a41EieY899vCbIt5lHb799tvt+uuvd/vIAnzOOec4Ab148WK3r9ZgljDVUhIS\nzFobUg9aRdzUb0uSNIIsC8yUKVPc73UMvXReWXB8UkdW0TtlydAat4pIrI7/nXfe6XeJeNdauPfc\nc08B8SuLuY577bXXRuxfkj8UaM0vM3DyySe7B39Jfl/SfV966aWInyxYsMBZv8VOHXrVmer40Ucf\nDe8ni6KsYFpiSJaBUaNGmaIpSzjp96TsJKDr11+7usb9fGgNXukeVFLU3aD3h+Y3ypos4ayBsOK8\nK6LJFNaWyGNDAkoeI7FSPG1JPPvEOnasbfG0JbofdJ+IVdOmTR0X8dT9oiX2YqVnn33WtUnR3+VC\nWyJPGgkktZUqp54Z8iyaMGFCuLi0JWEUWf9hyJAhpuWoEpkKax9S2dfgXsy+5zqiOJF3IceCAASK\nJCARefjhhzsLUXBHBT7QS26XsZKsNl27dnURef33sjCqAy4XOyVZZ9VpOvXUU/0uznX4xBNPtCef\nfDJmpMHwjoEPW7dudRaa/fbbzwlddfD1kjufOmZB12m5aMplOZi0r44RK/3jH/+wiy66KNZXNnDg\nQJs7d66NCYnJ0iRZ6GR588l/9sFV/PZEvMtFOnqgQaJH1h2fNEigug6uu6n1Mf/85z+7elG+tG6g\nfqO1ecWWlL0EDjnkEOcq//7775ssfT7pGlAgQLkS+mVn/HfvvfdeTAug/76o98LaEonstm3bFvrT\neNqSePYp9ASBL+JtS2QpVwq2JX5gIZa4VzuhATt5xcRK2dyWiJm8bXTN+OStxMGBVNoSTyc33jVY\nmshnVWHtQ6r7GtyL2fVcRxTnRntCKSCQ8QRkDZHbktyNS5JWrlzp3KRlAQ4mWZ1atmzp5vNqu3eV\njHbL1t9aiiJ6fmPwWMHP6oyqYx2d1Knv27evs2z67zQPWG7L//3vf90mzY1SPuTCHJ30e1nCtfZs\nYUmu3hLOsnrHmzTvUUv4qDMpd265ounlecQ6jlyqH3vsMfu///s/Gzt2rMVy0VTHW9ZguaIq7z5J\nEP/hD39wS3vI0isRpBQtRFSG+fPnO4u+/60s+dHzAmVlV2L9XU8pO9/VqZXFR9fhyy+/HC6E7ifN\njZW4i3aP1N+aMuGT7nVdk1pHsqiUzLYk3vamqPz57+JtSwYMGODWzbz77rvDAwq6p9XmBV3OdVwN\nPskT5ZprrvGnifmeKW2J5lSr7b3vvvvc+ruy4PkUqy3x14vfR+/Tp0933jjBZwBtSZBQbn3WPHHd\nC/IGCKZMaB+UH/9sjbevkYp7UVOWXnvtNedd4efiB9npM/diNJGCfyOKCzJhCwQgkAQCmjfaq1cv\n51JbksPLrVaiTfMWo1ODBg2c8NL3P/zwg/s6ej+/zIVEXlmShGbQdVrHklVaQlfufRqZVkft73//\nu3OjDp5LliAJS82NKyrJ/XnatGn2wQcfFLVbxHfVqlULW2NVVs3V9K+IHX/9Q/mUJUyWPVlk5Oqs\ncihoj09y5bzuuuucFe/MM8+0v/3tb25tS30v8arOqTqvKrvcPaOTd11TfatMPvm68H/rXe7vsmor\nMBgpuwn8/ve/dwXw3hv6Y/bs2WHPieB2WUWjl5KTq7Fc6d94440iQSSzLdFATjztTZEZLObL6LZE\n9/AVV1zhvCXkOSHRKyEo1+Ggy7kOe++997o4CUGraazTZUJbokFCtTEqwwUXXOA8QuS5o865UnFt\niepBrtS33XabG5wLlpO2JEgjNz5r4EwDypoKpHvkj3/8o4u/4UuXCe1Dafoayb4XFVRU91XFihVN\nz2t55Oj5HpzixL3or6Ki3xHFRfPhWwhAIEEE1MmTWCtpUvAspejOobapMynLiQSdrEuyVkmsBZP2\nUZKrc2mT8iDX7Ogozgqk8cILLziLtYSkHjyaRxRMeojK2iq34eKSBL0E4uTJk4vbNfy9Bgb8fCxZ\n5HR+vWJFdNZDUsJEQlhW9m7dujnrzRdffGE33XRT+JgjR4508xrlzqZjat1cHzBLbuzqkFapUsVZ\nsfR3MH366ad22mmn2SuvvOICqimQUlFJnV4FHgu6WRe1P99lLgFFj9a1p4EdH+DtxRdftIsvvtgN\niGmbvlPStag5+MGkaOUK2OXFdfC74OdktiV+cK249iaYn5J8LqwtkTVJbYQ8PzRopekbdevWjTi0\n7lN1fKPbmIidfv0jE9oSucer3W3Xrp3zEJG7t+Z0KniWUlFtiabGaF71//zP/7iBFbnhFzfFgrbk\n18rP0jcNHuseUPA4XTuaqiSvE+/llQntQ2n6Gsm8F+WZo/ZV94cG7fVsVowGsZM3iZ+Swb0Y302B\nKI6PE3tBAAJlIKCGWxbfaCtuPIfUEkhKseYbaS6qRLAsDprDGitpH6XSnNsfT+5SsmRKBEcnicx+\n/fqZol1rnpvmOqvj59MjjzziliaK9Vu/T/BdoljWtWQkuUzLzdnPN9Y5ZO3VXG51PtatW+dOqzKp\nM6qkh6qWRdEyT8EUqz70/QEHHOAEtOY4S0xLHHtBHfy9PmvkX/USy908el/+zg4Cslgo6RrSvSf3\nelktFPzNb5drvepeHblg0r2u+6coK2iy2xJ/n8a6voPtTTDfJflcWFui9lHuovI08UECNUDgk6w/\nio1QWEwCv1/wPd1tiUSM6llMZR32UfnjaUt0LchCLCvYDTfc4CLaK9BiYYm2pDAy2bNdU4v8NBzd\nf2eccYbLvH9+ZEL7UNq+RrLuRU1/0rSpaE8rTcmQwUDtsBL3osNQ7H+I4mIRsQMEIFBWAgq8o45w\nLOtLccf2S7XIchCdNI+mTZs2zgohN16dIzowjay3SrJWlDbJnTPadVrHev755517nzqyCjyl+cBy\nHVYnTkku2+ro6uGkd738HFwFytHf0RZsPfiD8+7cgRLwnyzWEts6fnTSXGklPVyVtLawrDJ/+ctf\n3G9kARTbYIolGoLfy8IsV08lDRZEJ3WMxS86YFf0fvydXQSOOuooN1ClwRBZJ+RCr/tec4d17XnL\njzwZvBdHSUqY7LbEB/srrr0pSZ6D+8ZqS3RvyrtCc/X1rnZBnVyJYi3hpqRpD4p1IKa+LdE9pPZO\nf2t+bnRKd1sizx0JYi29psFB3warvMFUVFuiY8iKrvgNajOj23cdh7YkSDN3Puse0LUR/YwsqoTJ\nbh8UE6M0fY1k3YveEhxtFPDPdD/Azr1Y1FXz23cVf/vIJwhAAALJIeDdh7xALclZ9ABS51nWyugk\nVybvvus7XJqj2jq0FIxPCs6hpOVfSpP0e1k4Yi2zJBfQgQMHOpdGHVvWMLk+a3RWlh2JW1mNtZ6m\nT75DqM6xRsAlCoNWbP2utHn154j1rs6FRqvVyZbFKxjwSgMLShoFV1JZVeannnrKCRp1uqNTUR1Z\nv6/KobIFy6fvVEZ1+BVMRW7YpNwhoGtIbrK6ZuQKqcBZSuq0SRhrIETz1WPdT/FQSHZbEm97E09e\no/cprC2RW7TaLc2/VdKUCK3lruXe1E5oeoTWX5b3RTDJs0NBBNW+yMoml+tgSndbIldwtYkS9Lom\nCovrEE9bIg8ULU8V3V7QlgRrPLc+a0qN2g1N9Yk3Jbt9UD5K09dI1r3oo7Rr4NkLYeVRUbY11cI/\n07kXRaX4hKW4eEbsAQEIJICABJKfH1ySw6kTpI6VojwHrZXqEMpCIMuUkvaRK3VwLUtt1zxGufHK\nTbg0Se6OmnvrLdbBY2h+5Nq1a4Ob3FweWYZVVnVSJS6DL7k7KV111VVuu+8Ia5vKp9/JMpuMpJF3\nDUzI4hJMYqS5SOp86OGpQCfHH3982LIf5K7fqRPr3dKDx4n+rI68+PTv3z/8lTrxmtMsK3TQjVvW\ngMI6zeEf8yErCMhVT0kWYgk7n3SPKun+iBZwfp943pPZlsTb3sSTz+h9CmtLNMdW95g8X3xS517W\ndD8YqHmWwXZEn+VeqvtWnzWAFUyZ0JZonWHVtV86KrodUX7jbUu0Trzc8IOJtiRII/c+6zmle0ID\nzyVJyWwflI+S9jWSeS/62CFqA4JJbcr27dudp462cy8G6RT+GVFcOBu+gQAEEkhAo5g+wEphh9Vo\nqlK0i9w555zjrItBi6WCqvjgEvqNOpGK7iwLi7fGah6b3JVljZX7kE9a8kEdd0V3LS7Fcnf0v9H5\n1dENdvYk3hWd2Vtf/b7xvMuyLLEZ3flTwIzhw4cXulSN5+WjuupcvoPtv9O2q6++2g0caLkXn5R3\njTLrO1mPvTVfyzto4OGrr75ynW7Vjb7TccVagc00D1LReuVqOmbMGBc8SR1Vn2QxV7Acz0IdZEUU\n1ZxJHV9zJPWSm7WCbcnlmpT9BAYNGuQsPJofHLQCKkCUvDh03wQ9FXyJ5WWh+1IWwaJScW1JYe2I\njhlPWxLPPj5/xd2bfj+9F9aWaNBIA3pqS3zSPaX2sqRL2Pnfx2pL4mn3fHuRiLZEZVA7IY8YWcm9\ncFdAJV9H0W2J9tPyTcFnhTyCJJD8tBSVkbbE13TuvOv5EnyW6n6Rd4nWs1dKVPugY/nrz1/v2qYU\nz71fkr6GjpnMe1ED/orjoOd0MJbJ+PHjXVurlSWUuBcdhmL/w326WETsAAEIJIKAliuS66REVLQl\nVB0nrVnq18NVgBVZKr2FUfP8FOVZnSI9GOVeKAuK3PKCSW6Z6mxrDpoCTcj6qMiMsvQGk/IgN2JF\nmlWArFgddO2vzpg66IoeHSvdfPPNzuKp+W6nnHKK68jJOvrwww9HiPBYv421TUJfwkHzMINJ8wUl\nQDUfU/MOg0mWXc3ZU1KkX7lRdu/ePTxXVwFoxFEdCwUx0drCWkJKgwRaA1UDDWIkDkoS9Pos13B1\nSBTJUuW85JJLXIdBkXHVUX/mmWfc93/605+cYJf7p+pDFmAtK6N5yQpAFrQUal+JZ72i03nnnWeV\nKlWK3szfWUhAFmIJX93D0UkRp/fee+/oze7vH3/80d2Xuj+j1+cN/qCotkSRanXtKuna1zxcrYWt\njqxSPG1JPPu4g4X+K+re9Pvovai2RPflv//9b7f0mebyd+7c2Q3myZskViyD4HEL+xyrLSmu3Ut0\nW6K2Su216ksDJWobJMxHjBjhLNxa1zq6LVHbo+eA2jS5jcuTRoNoTzzxREQwRdqSwmo+O7cr2KKe\n+0OHDnXtg57dqvdgsLlEtA+p7muoNpJ9L6p/ojnLw0MD53qOamBd7aCe0X41Du7F+O6LciGLSmTE\ng/h+x14QgECGEFAnQtY7iZVMTxJkWk4lWsyWJN+yJGiuUVECSg8F7ecjycY6vsSr5rQWJnj1G42u\navRV7lhFJVlH9cBWx9vP4Slq/1jfqSmWlUzzA6OXXNFotgLsyLVTSy2UNelcclXWyHzHjh0LzNPT\n8XVNBaMAKw/B+Xxyi5awDu6jUX5x1aBF0EJY1vxm0u816KCgQeq8JTp5y4jukdIEpUt0fspyPN1/\n6tRGJ1lodM0UNhAl74R4ludKVVtSXHsT770ZT1ui+1JWJUXYljAvjFE00+i/i2pL4mn3oo9X1N/F\ntSVqE2R1VqddSfvLyus769oWqy3RdaJ9ShOMTcfMxiQvGl37PmJwosuggWANEslyX9rpRInOU/Tx\ndK3onos1XUn7Zlr7UFxfI5X3ou4jBd4SO8VGiE7ci78QUZ9ORgLFcggO2uvb3/wJo+nxNwQgAIEE\nE5Arj6JD+jVMS3N4dbSLEsQ6pjqTRQli7SOLhYK3FJXUkStOEOv36rhpv9IKYh1DAwUXXHBBAUGs\n79RJlouzrC2JSBKssk7JEhMUusFjB8Wutkfvp/nA0fv4CJe5KoiDfPhcNIFYgli/0D1SlNiLRxDr\nOKlqS4prb+K9N+NpS3TfqDMrT5qiGKn8RaWi2pJ42r2ijh39XXFtidoEL4j1W+0fFMTaFqst0XWS\nT4JYHEi/xCEoTBCLT6a1D8X1NVJ5L+o+0oB6LEEsdtyLolB0QhQXzYdvIQCBBBJQo6yos08//bRb\n8ieBhy7Rofxoc2ldE0t0sjh2lpVfLs+F5UculXKlVDRJEgQg8EsHLxPakky7N4tqSzKt3eM6hkCy\nCGRCX4N7MVm1m7zj4j6dPLYcGQIpISD3aQUt6tOnj4tWqmiEesmFNZOTXFi0bADpl0AcmoNLyjwC\nmncu69qkSZPcS3MkR44cmVT36dahYFQKoKK5pVpyTK/GjRtnHpwMyRFtyW8VIfdr2pLfeGTqJ7nT\na/WCqVOnupf/rOB0yXKf1gCO+gZaUkhz9n3Mh0zvK5S1DtPVPnAvlrXmEvd7ueQrQrdcpvVSIL9Y\n7tOI4sQx50gQSAsBzSFRhGXd4AoK5Rdz1/I6egDKnUZL8SiAUrTbWloyzEkhkKEENI9R8+4UQVzu\n6nr3cxt1L6kjqaWENK+7bt26CS+F5oQpQIrOKxGudwVYU5Ibr4Syf0koa15gWdxsE14ADggBCBQg\noKBRip4dFMBaTlDzTeXyqnm+ekarjdGUnnim7BQ4SRwb/Px3H+xQ7YvmmUoke4GsOZY+KF0ch2QX\nCGQkAQVUU0Ru9YslhrWkm6Zu6B4bOHCgex122GEFYncgijOyOskUBEpPQHN2JY69SFZofm2TINYc\nUv/w1XtRc3dKnwN+CYHMJ6AAKXpQevGpDmJwQMlbUtRZVDTwdA0o6d71VmqfV3WutQal5nlrsEsW\nZYllCWX9XaNGjcyvAHIIgRwjIIGpAIZe/Pp3rT2vpOBpeu76Z7A66H65unSg0CDcp59+amPHjjUJ\nZXnEqF1UvAkteyaBrPYPz4N01A7nLAkBDTx5ASwRPHv2bDeHWs9uiWBFsdcqHMXFfUEUl4Q6+0Ig\nCwloNNq7inihrEBXeoBrRFiNhn9Qa14rwU2ysJLJcrEE9NCU+6DEr176LBdGCUhNPfAiWO+ZbilR\ncCd1uL1Y9uWRVVtJHe1o9+tML1OxFcgOEMggAmo7FCXeC1+5P+tvrUQg7w0NVAXFrwRwYcHnMqVY\nWnFg3LhxYZGsAXUNvmk6hwSyfzHtKVNqLH/zoSUgvTu0LMIajNJ9p2e5F8Hyuog3MJsniSj2JHiH\nQB4R0AM96Foisaz5LwpOoc60HuBeKKuDLbcTEgSyhYDcBNVZlVj01lWtwaqkJai8AJYVRANBuu5z\nIWn+sy9zdLnr16/vLMneqqz7HPfrXKh1ypBsAhpQ8+JX7xLA6oRrwFmd7qD7s56d8tiIjtaf7Dwm\n4/jqJ2gdblmSNa1DfQYtp9WiRYuwFVlCWX+TIJBMApoX7kWw3rXmugKPas17rcohS7CWWSqrlxSi\nOJm1yLEhkEUE1MhIHHtrsjrVEhdyN/ECWe/qABTngpJFxSarOUBAa0RLDHpBqGBY6rzJMiM3QC+C\n1YHLt2t31apVYYuyF8rq1MsCpLWQg+7X3rocXEInBy4PigCBuAjIe0pzfYMCWHOBvfuzLKT+WSjx\nq1c+DRrLCq7+gVyt9ZI4UR9BXLwVWQONWlKMBIGyENAgtq41L4T1jNcUJj3PZQnWS8/1RD+rEMVl\nqTV+C4EcJiBRoWBDvlHSPGVZopQ058h3DvQu6xsBfxwa/ksygQ0bNoSDYXkhrE6rrj/NmVenzL86\ndOiQ5Nxk5+Hlfq3OvkSyF8pyJ9ccQ3mFqKPvLcqyekks436dnXVNrmMTkMCLdn/WYJF3f9ZgkZ5t\nXvzqXd4WpN8ISBBLuPg5yeojbN682c1BVhvshbI8UkgQKIqAN8r4/uaiRYuct4WuIwlgWYIlgjWQ\nm8yEKE4mXY4NgRwjoIh+wSBeEyZMMM1D0midD+LlOxJ0onOs8tNQHLknzpkzJ8IKrI6sLDpNmzYN\nW4D14NRcIubDl62SZCXz1nYvljVCr6RlWySOgy91dnPF9bxs5Ph1JhPQcyto/dVn7/5cs2bNAu7P\n3bp1ywn351TXiQbb5GLtRbJcr+WCrb6AF8hqqxXtmpTfBHT/eUuwhLCm70nwanUHL4J1zaR6GgKi\nOL+vS0oPgTIRkDiRxUmNm14SzBItEjNBVzMJ5VyZZ1UmYPy4SALe1dcLM72vW7fOPSwVEE4jxXpQ\n6l2RXEnJJ6D1Hb1F2QtlWdQUpVaDELHcrxmcSH69cIaCBPQ8kjdTtADWnGAlrbYgi6/aEm8B1sAO\nMTMKskzEFnmbaeDcz0lWEC95+miALSiStQQVdZAI4pl7DK3s4K3AetdAlYwpEsF+TrDmB6drlQdP\nDlHsSfAOAQgkhIBcMH3jJ5GskeMVK1ZYpUqVTCPwvjOijgkBOhKCPCsPojmtGkDxLtASXBo9VlJH\nVcJXVgW9NI9d1w8pMwjIbTKW+7UGMNS5Vf1Fu183bNgwMzJPLnKCgNx0g+7PEsL6W5ZJTaXQlB7v\nteSfORJjpPQRUJuvKVmaj6yXloNSm6HYD14k610DbYjk9NVTWc8so4iWO1Q/0L80xUleGQqGJUuw\nXvLuUrCsTEqI4kyqDfICgRwloDXjgtbk7777zgX6USdFHRZ1XvSSC7YaTlLuEZB7VFAA6xpQx7Z2\n7dougmRQBDN3L/vqXx2hoPu1t/YraqiSRHHQ9VqfNXcZ9+vsq+tU51gd6mjrrwbQZBnW88JP3fHi\nV4OvyZ57mGoGuXg+eZuonfDu1p988olpWbk6deq4gEqqV4kntRW0E5l7Bajt14CUd4eWIUQeRnq2\na1kk1aHmBPfu3TvjY88gijP3OiNnEMhZAhJDcqvyjagsyuo8a3RYo8R+iQtZkzX/iFHj7LoUVL9a\nC1tWAXV6VM9yjVY9qoMTFMD6m/rNrvotSW7lJRLtfq0OlHe/lkXZW5V1Lej+x/26JIRzZ191rmO5\nPy9dutQVUnEEJHyD7s8K+kj7kRvXgAY51C8YMWKEvfXWW+bd3iWuFHXYrySgdoLAnumrc9WTBql8\n/03rWa9evdoNZgwYMMAJYIlg3avZVk+I4vRdV5wZAhAIEJAoViOrl0TyxIkTnSVR60B6C4C3KNet\nWzfwSz6mm4AiR0r8SgRLAOmBKVc5WQflxqiAK7LcnHjiifaHP/zBjR7TkU13raXv/HK/1qCJF8u6\ndhT9WkH7dF3I/VodX7189GtcX9NXX8k4swbOZsyYEWEB1lx1uT/LKhjL/RkX/GTURGYcU9MxHn30\nUXvqqaeclfHwww+3s88+21q3bu2eH3K3lkVZg2zyDtD8U02tkbu1PAMyzQ03M6gmJhcawPSxY+QO\nLRGsaXJye5cI9pZgWfaz3aKPKE7MNcNRIACBBBOQqFJHOTg/WW7YSnpQeoGsd1maeCgmuAIKOZzm\ngKleJGT0krCRq5Tm/Grwws8D1rvEjZJG/EeNGmUjR450+2v7mWeeaUOHDg3vU8jp2JwnBGQllEus\nv6b8u5bmUFIEWy+U/bvagWzvhOVD9UrIRLs/K6q8LE41atSI6f6Mt0DuXxkaBBs9erQTwxoM13SK\ns846y4YPHx4zkKLaCF1HXiDr3Qdskkj285IlzohBUfrrR32vyZMnh+cDSwSrrjQwKQuwXhLCGozI\ntcFtRHHprxt+CQEIpJiAOldBkay5KxqxJKWegIKkBd2g5dIYz/IJmkv85JNPOpEssaw5R8OGDbMh\nQ4a4OUipLwlnzGQCmk/qLcp6l1iW+7UEFSm7CDRp0qSA+zPTY7KrDhORW3kOySr83HPPuWkUxx9/\nvLMKH3TQQSUWWfIukAXZz0tW7ApSYghoINJbgSWENRiZayI4mhSiOJoIf0MAAllDwAd40OgxneTU\nVJuWUZAA1vy+siS5ZL3zzjtOIL/66qvuYXvcccc5gXzIIYdk3VyksrDgtyUj4Oesa/6p2oBcSboP\nJBhuu+22XCmSK4cCJylOBGvX51S1lqgwGgCVp5DEsAa1dD2cc845dvrpp1sip0Mp6rGsnPQHSlQ9\nETvL+0bTVhTfId8SojjfapzyQgACEMgwAgrS8fzzzzuBLFGg9UTVWZIFWQ9nEgTygcAtt9zihIPm\n2pIgkO0E/MCnhPBrr73m1qU97bTTnFVYkYhJEMg0AuUzLUPkBwIQgAAE8ouALEnnnnuujRs3zmbN\nmuU6TRLJmrOkztO//vUvkxstCQIQgAAEMpuAYgPccMMN1qpVKzvqqKNccCwJ48WLF7vI0gjizK6/\nfM4dojifa5+yQwACEMgwAppjePPNN7s1bz/66CPnZnf99dc767Hcq//zn//Y1q1bMyzXZAcCEIBA\n/hLQlIZnnnnGDj74YLeMokSwgilqkFMBsRRUkeBp+Xt9ZEvJEcXZUlPkEwIQgEAeEVBADwX5eOyx\nx0zBU/S+YcMGF5BL85kvuugiU6A1EgQgAAEIpIeAgt9dfPHFbtBS0120hOIrr7xiCxcutL///e9O\nIKcnZ5wVAiUngCguOTN+AQEIQAACKSSg4F5nnHGGvffee6Y1ka+88kr78MMP3RIcWo5LgYl+/PHH\nFOaIU0EAAhDITwJr1qyxBx54wE1t0ZKI7777rl199dVOCL/88ss2ePBgAiXm56WR9aVGFGd9FVIA\nCEAAAvlDoHnz5nbNNde49SplKZa73p133unmrx166KH29NNP28aNG/MHCCWFAAQgkGQCivLu3aDl\nqfM///M/1r17d/v4449NgeEkirXkFgkC2UwAUZzNtUfeIQABCOQxgb333tvuv/9+W7Rokb344otW\no0YNO+uss6xx48b2//7f/3OduFxasiePq5qiQwACaSCgtvXWW2+1Dh062KBBg5wAvueee1zQrCee\neML69++fhlxxSggkh0DF5ByWo0IAAhCAAARSQ6By5cp2/PHHu5eiVCvgi9bEVCdOEVAV5EVBX9q3\nb5+aDHEWCEAAAllKYPv27fbGG2/YI488Ym+99ZbttttubvrK2WefbT169MjSUpFtCBRPAEtx8YzY\nAwIQgAAEsoRAgwYN7JJLLrEJEybY999/byeddJIL0iVLx/77728PPfSQaV1kEgQgAAEI/EZg5syZ\nzg1aU1Q0yKiI0qNGjXKeOPfeey+C+DdUfMpRAojiHK1YigUBCEAg3wl07drVbr/9dluwYIG9/fbb\nzmp8+eWXu7lvJ598srOGyCpCggAEIJCPBBR/4cknn7QBAwZYx44d7dlnn7XzzjvPtNawAhuqnaxS\npUo+oqHMeUgA9+k8rHSKDAEIQCCfCFSoUMEOP/xw91q7dq298MILriOoKKmNGjWy008/3bScCK6B\n+XRVUFYI5C+B8ePHO/fo0aNHO4vwMccc41ylDzvsMCtfHntZ/l4Z+V1yrvz8rn9KDwEIQCCvCNSu\nXds0N05RU2fPnm1//OMfTcuI9OzZ0/bcc09TEJmlS5fmFRMKCwEI5D6BFStWmHeD7tu3r40bN85u\nvPFG++mnn9xA4RFHHIEgzv3LgBIWQQBRXAQcvoIABCAAgdwlsMcee9hf/vIXJ44lkhXNWp1Ezak7\n+uijXUdxy5YtuQuAkkEAAjlNYOfOnc4N+pRTTrFmzZrZDTfc4NZ3//zzz13MBU0nURwGEgQgYIYo\n5iqAAAQgAIG8JlCuXDm3tMjDDz9sS5YscZGrd+zYYaeeeqqbf3z++eebOpEkCEAAAtlAQHEUbrrp\nJtPAn1yiFy5caA8++KBbSkntXL9+/bKhGOQRAiklgChOKW5OBgEIQAACmUygWrVqTgxrKRJ1JK+7\n7jrnZrjffvu5tTr/9re/2fz58zO5COQNAhDIQwJbt24Nu0G3adPGRowYYUOGDLFp06a5Nkxrt2st\ndxIEIBCbAKI4Nhe2QgACEIBAnhNo2rSpXXnllTZ58mSbOHGiHXnkkfavf/3L1OE86KCDXLCu9evX\n5zklig8BCKSTwJQpU+xPf/qT7b777m5AT4EFFUzwxx9/tDvuuMM6deqUzuxxbghkDQFEcdZUFRmF\nAAQgAIF0EejVq5cLUqOgNArMVbduXTv33HOde/WZZ55pH3zwgWn+HgkCEIBAsgmsW7fOvBt0t27d\n7JVXXrHLLrvMebG88cYbdsIJJ1ilSpWSnQ2OD4GcIoAozqnqpDAQgAAEIJBMAupoavmSl156yc3P\n0zrIM2bMsEMOOcRat27t3K2nT5+ezCxwbAhAIE8JKGL0WWedZfJiueSSS6xt27ZuQE6R9P/85z87\na3GeoqHYECgzAURxmRFyAAhAAAIQyEcC9erVswsuuMC+/PJLN2/vjDPOsKeeeso6d+7sIrxqTt/K\nlSvzEQ1lhgAEEkRg2bJlduedd7p25YADDrBvvvnGbrvtNlu0aJGNGjXKTeVQsEASBCBQNgKI4rLx\n49cQgAAEIAABN2/v73//u3NffO+996xjx4521VVXOYvO73//e3v11Vdt27ZtkIIABCBQLAFFv/du\n0Foi7pZbbrFBgwa52AYSxRdddJGbwlHsgdgBAhCImwCiOG5U7AgBCEAAAhAomkD58uWdK/XIkSPd\n8k4PPfSQsxYfd9xxzrVR8/6+/vrrog/CtxCAQF4SmDt3rl1//fXWqlUrGzx4sK1atcoee+wxZxWW\n54liG5AgAIHkEEAUJ4crR4UABCAAgTwnULNmTRs+fLh9+OGHNm/ePDcH8M0337TevXtb9+7dnUvk\n4sWL85wSxYdAfhPYvHmzPfPMM84Nul27dvb444+bgvfNnDnTPvroI9O0DC0VR4IABJJLAFGcXL4c\nHQIQgAAEIOAsP7IAqaP72Wef2f777+9cIlu0aOGWeho9erRt2rQJUhCAQJ4Q8G7QCpo1bNgwq127\ntptmsWDBAtNUDAlkEgQgkDoCiOLUseZMEIAABCAAAdt3333twQcfdO7Vzz77rGld0aFDh7rlnf7w\nhz/Yp59+CiUIQCAHCaxevdrkBi1vEblCK/7Atdde69YU1lJvRx99tGsPcrDoFAkCGU8AUZzxVUQG\nIQABCEAgFwlUqVLFhgwZYq+//rrrFN944402fvx469+/v1tq5aabbnJu17lYdsoEgXwhsGvXLhsz\nZoxzg5ZV+Morr3TTJz755BO3nJsC8jVu3DhfcFBOCGQsAURxxlYNGYMABCAAgXwhoE7x5ZdfbpMm\nTXIvBeZ64IEHnDg+8MAD7dFHH7W1a9fmCw7KCYGsJ6Alk+QG3b59exc5etasWXbvvfe69c2feOIJ\n0/JKJAhAIHMIIIozpy7ICQQgAAEIQMB69uxpd911l7Mev/baa86KdOGFFzr36tNPP93eeecd27lz\nJ6QgAIEMI7B9+3aTG7QiR7ds2dLuvvtu5xL93XffufXMzz33XDd3OMOyTXYgAIEQAUQxlwEEIAAB\nCEAgAwlUrFjRjjrqKHv++efd/ON77rnHuVMfccQRpgBdV199tU2ZMiUDc06WIJBfBGbMmOHWJdea\nwieeeKJt2bLFRo0aZT/99JP985//dO7S+UWE0kIg+wggirOvzsgxBCAAAQjkGYE6derYeeed5yJX\nK4L1WWedZc8995x169bN+vTpY/fdd58tX748z6hQXAikj8DGjRtNbtCKAdCpUyd3P55//vmmtYbf\nffddO/nkk01xA0gQgEB2EEAUZ0c9kUsIQAACEICAI6A5in/961+d1VjrmGrN4+uuu86aNWtmmov8\n3//+17Zu3QotCEAgCQS++uorN0DVpEkT967gWW+//ba7HxUsr1WrVkk4K4eEAASSTQBRnGzCHB8C\nEIAABCCQBALlypWzgQMH2uOPP+7cqxWMa8OGDfb73//eCeSLLrrIRbNOwqk5JATyisCKFSvCbtD7\n7LOPjRs3zm6++WbnHq3pDYcffriVL0+XOq8uCgqbcwS4g3OuSikQBCAAAQjkG4EaNWq4tY617un8\n+fPtiiuusA8++MD69u1rXbp0sdtuu8114PONC+WFQGkJKJidd4OWF8b//u//ujXGv/jiC/v+++/t\nsssuswYNGpT28PwOAhDIMAKI4gyrELIDAQhAAAIQKAsBBfu59tprbdq0aS7i7aBBg+yOO+5w0XAP\nO+wwe/rpp03zIUkQgEBBAgsWLDCtEd6mTRtnAVawrAcffNAtpfTvf//bZCkmQQACuUegXGhR8V25\nVyxKBAEIQAACEICAJ6A5xq+//ro9+eST9tZbb1nVqlWdm/WwYcNswIABJldsUuoIaF7qDTfcELG0\n1pIlS2zVqlXWuXPncEZULxrU0CAHKXkEdH+88sor9sgjj9j777/vLMBnnnmmnX322S6IVvLOzJEh\nAIFMIYAozpSaIB8QgAAEIACBFBD4+eef7dlnn3UC+euvv7bWrVs712uJgHbt2qUgB5xClvp69eq5\npXuKo/HUU0/ZGWecUdxufF8KAnKD1lx8MV69erVpuTMJ4aOPPtoqVapUiiPyEwhAIFsJIIqztebI\nNwQgAAEIQKCMBCQKRo4c6VyqFy9ebPvtt5/JenzSSSeZloEiJY/Aqaeeai+++KJt37690JNUrlzZ\nFOSpZs2ahe7DFyUjsG7dOhs9erSzCstiv8cee7glzoYPH2677757yQ7G3hCAQM4QQBTnTFVSEAhA\nAAIQgEDpCOzYscMUpEsC+eWXXzbNrDrmmGOcQFZk3QoVKpTuwPyqUAJvvPGGs0gWtkPFihXt2GOP\ndcK5sH3YHj+BTz/91FmFX3jhBdP1fsIJJ9g555zjIrgzfSB+juwJgVwlgCjO1ZqlXBCAAAQgAIFS\nEFi7dq1pmRkJZAmJxo0b22mnneYEco8ePeI+4muvvebcg7VEFKkggW3btrm5q+JdWNIAhYQx6RcC\nr776qosIff/998eFZOnSpe46lov0jBkzbK+99nLu0aeffjqeEHERZCcI5A8BRHH+1DUlhQAEIAAB\nCJSIwNy5c52o0JxLfd5zzz2dOJZIbtSoUZHH0vzMd955x2688Ua3nA3WuIK4zjvvPLfOtARydNIy\nWytXrjS5UJPM7rnnHrfUmHgsW7bMateuHROLrMBvv/22c49WcDm5nut61VzhXr16xfwNGyEAAQgg\nirkGIAABCEAAAhAokoDcqWU1VvRquZ8qUJREr+YfDx482KpUqRLxe1notLar1nqVGD7++ONdMKPq\n1atH7Jfvf4wdO9a570ZzUJCnoUOHOnff6O/y7W+J3Isuusgti6Syly9f3kaMGGEaUAimOXPm2GOP\nPWZPPPGEWz7pwAMPdO7RJ554oou2HtyXzxCAAASiCSCKo4nwNwQgAAEIQAAChRLYtGmTm3csgazl\na2SxO/nkk51A7tevn/vd3XffbVdddZWbu6kNmh+rpYbefPNN0zrKpF8IaLChSZMmzvIZzURsDz74\n4OjNefW3XMs19/ejjz4KL1+lQZaePXvaN998Y5s3b7aXXnrJDR6MGTPGmjZtagqYddZZZ1nbtm3z\nihWFhQAEykYAUVw2fvwaAhCAAAQgkLcEFi1aZKNGjXIW5ClTpliHDh1MSztJMM+aNSuCi4Txbrvt\n5tZL9uI5Yoc8/ePKK6+0e++914Iu1PXr13dCWVbRfE0LFiywww47zGQBjhWhW14KWlt4/fr1LmCZ\n3KOPPPJIgsLl6wVDuSFQRgKI4jIC5OcQgAAEIAABCJhNnDjRzT9WgC6t+RorSeTpJTdXuQeTzLRW\ndO/evcMo5Dp94YUXujm04Y159kFLJUngylIcSxCLkea3DxkyxA3CKBgcCQIQgEBZCCCKy0KP30IA\nAhCAAAQgEEHg0ksvtQceeCDC8hmxw69/yL361ltvdSI51vf5tE1r5c6bNy9c5C+//NL69u0b/juf\nPsgdWoGxNJdYr8KS3PYVcCt6Pnth+7MdAhCAQFEE8tcvpygqfAcBCEAAAhCAQIkJyKr39NNPFyuI\ndeA777zTub2uW7euxOfJtR/IFVju5UotWrTIW0H8j3/8w7SE19atW4sUxOKk60ZLVpEgAAEIJIIA\nojgRFDkGBCAAAQhAAAJuCSYtIxRPUmTq9957z/r06RNhJY3nt7m2z6mnnurchBVESgI535LmUys4\n1jXXXBN30cXqoYceint/doQABCBQFIFfhiWL2oPvIAABCEAAAhCAQBwEHn/88Tj2+m0XWZZnzpxp\nXbt2tauvvtq6dOny25d59qlly5am4FL16tVzy17lS/E3bNhgt99+u02bNq3QIleoUMG52UsI+yTX\nakWcnj9/vrVq1cpv5h0CEIBAqQgwp7hU2PgRBCAAAQhAAAJBArL8nn/++S4asCx/coHVS5+Df0sI\n628JQAkiEgSKIiB36lq1arm1hqtVq1bg/dBDD3VRz4s6Bt9BAAIQKI4Aorg4QnwPAQhAAAIQgEDC\nCRx77HE2ZXElGzQcF1jB3bB6kc2Z8B/rcchFCWedjQf8cdqH9vb9Q2zNmjVuLexsLAN5hgAEsocA\nc4qzp67IKQQgAAEIQAACOUqgRp1m1uXAc3K0dBQLAhCAQGYTQBRndv2QOwhAAAIQgAAE8oRAxUpV\n86SkFBMCEIBAZhFAFGdWfZAbCEAAAhCAAAQgAAEIQAACEEghAURxCmFzKghAAAIQgAAEIAABCEAA\nAhDILAKI4syqD3IDAQhAAAIQgAAEIAABCEAAAikkgChOIWxOBQEIQAACEIAABCAAAQhAAAKZRQBR\nnFn1QW4gAAEIQAACEIAABCAAAQhAIIUEEMUphM2pIAABCEAAAhCAAAQgAAEIQCCzCCCKM6s+yA0E\nIAABCEAAAhCAAAQgAAEIpJAAojiFsDkVBCAAAQhAAAIQgAAEIAABCGQWAURxZtUHuYEABCAAAQhA\nAAIQgAAEIACBFBJAFKcQNqeCAAQgAAEIQAACEIAABCAAgcwigCjOrPogNxCAAAQgAAEIQAACEIAA\nBCCQQgKI4hTC5lQQgAAEIAABCEAAAn9i7K0AAEAASURBVBCAAAQgkFkEEMWZVR/kBgIQgAAEIAAB\nCEAAAhCAAARSSKBiCs/FqSAAAQhAAAIQgECJCWxcs8QWzxwX+bty5axtnxMitwX+Wrv8B5v01l3W\n++hrrEbd3QPfpOfjj9M+tC3rVxV78hbdDrXK1WoXu1+yd5j8wQirUKmKdRlwdrJPxfEhAAEIpJ0A\nluK0VwEZgAAEIAABCECgKALVajWyWg1a2mcvXG0fPXGuzZ/8ljVuu09RP7EVC761mV88YysXTSty\nv1R9Wb95D1v2wwSX/y//+7+2Y/sW27lrh3tt27Lefl7wjY19+iJbv+qnVGWpyPPM+Pxpm/Xlc0Xu\nw5cQgAAEcoUAluJcqUnKAQEIQAACEMhRAuXKl7dGbfZ2r4Xfv2vt9h5iNYux/rbpdayd0WGmVa1Z\nPyOoVKvVwNrvc7JNGfNvq92wjXXY97QC+SpXvoLt3L61wPZkb9i0brktDw0itOh6cPhUx175npUr\nh+0kDIQPEIBAThOgtcvp6qVwEIAABCAAgdwhUKlqTVeYilWqx1WoTBHEPrOVqvySf/939HvXgeeG\nLOKtojcn9e+dO3fYR4+fa+tXLog4T6UqNaxi5WoR2/gDAhCAQK4SwFKcqzVLuSAAAQhAAAJ5TGDX\nzp22ePY4k7hr2KqXIyHX5B8mvWZdDzzXVi2ZYfO/ezNkcW7uLM+yRgfTT9PHhNydJ1qV6nVsj17H\nhyzO9cJfb9+6yRbPGmfLF34bsqZWCFmAT7IadZqFv9+ycbXNmfCSm4+7cMr7tvKnKdb94AvD38f6\nMPurF6xd3yGm+dNTxz5iO3dss907DbK6zTrZopmf2Mofv3c/a73nYKtZr7n7HG95tm1ebz+Eyrpm\n6Wyr16yLNe9ykJu3vGPblpA793m2aMZYkyXbrJy16nGEVd+tiW1a97MtmPyOddzvjIjsbt28zlSm\n1Utmhtg1s907HxRhtY83TxEH5Q8IQAACaSYQ+QRIc2Y4PQQgAAEIQAACECgrgVWLp9sHj51tb957\nnHML1vHmT37bXr5tkH3x4p9DLswP2fehQFLL5k2wsSMvsG/fuzd8yh0h9+VPRl1qm9evtJbdDg8J\n0k/thZv3MR1TSQLz+Rv3DgWhqmo9D7vMdu3cbq/ddaRJKCvN/OJZe+a6bvb5C9eGzvOwjX/lZveS\nCC8sbduywb55+y73tQRp1VoN7YuXrg+J8vFuW7MO/U1iVNtWL53ptsVbHonXD0Ms6u3e1Xr97qqQ\nOH7DnvtLL1MgMs1rbt7lF5fp6nWa2m6N21m5CpVt5ufP2PN/6WMTXv1bRJZXhIS5ylq+QkUn+Lds\nXGsv/nXf0Nzj0SXKU8RB+QMCEIBABhBAFGdAJZAFCEAAAhCAAAQSR6Bu007W68grIw7YqvsRYatn\n3ZC1dMDQ++zwPz5r9Vv0sB++eS28r4Rs9ZDVV5Gt6zfvZvue+DfbsmGlE6Taaf53b9nGtUusTpMO\nVj40B7hl6LjrV/4YEs2/BPTq0O9Ua73nUSGxvCNkPW5qJ1z3sf3+hs+tfkiU+iTL8Rshwa7Xa3f/\nLiSiuzoLsf++bpOO/mP4XfkMpnjKI9foDx//Q8j6e5Q7v8Rsj4MvcsJ+9eIZzlrcsNVe7rB1Gre3\nZh0OsGohi7jmO+/eaWDwdCEBvTUkrs+x1j2PtjYha7Usyz0OudCUj09GXeYGDeLJU8RB+QMCEIBA\nhhDAfTpDKoJsQAACEIAABCCQOAIVKlYucDBZd5XqNGkf/k4CVMsl+fT9hyOsQcs9bdzo30T1bo3a\nhYTxardL2z4nWv2WPax67Ua2fdtm50atL9Ysmxt205a1V6lVj9+5dwnoYJLV9qhLXw5v2rxhlb16\nx6Hhv+P9UFx5Fk55z7lda5knnxq07GnD7l5gBfiElrgKpvKVIvn9OPWDkPv1rFCwsz7B3ZwrtlzF\nZ3z2tPULDSAUl6eIH/MHBCAAgQwhgCjOkIogGxCAAAQgAAEIpJ6AIj7v2rXLnXjLxjXOYttx/6HO\nAhorN5p7rCWiJr5+a0hYVrEGv1pad+3aGd7dR22Onqcc3iHqQ9UadZ0rdtTmUv0ZLI/mIVesXP3X\n+cK/Ha6AIA59VS70r6i0KmRZVtIc7WBq0nZf96fctAtLwTwVtg/bIQABCKSTAO7T6aTPuSEAAQhA\nAAIQSCgBuTKXNpX71Vq66qephR5i3fL59t9bD3RW4T2P+JPVqtei0H1L8kV0QKuS/LawfSXUt2/d\n6AJ1FbZPeHuUpTi8/dcPEu5KS+f9Ms/5182hoF8trFz5ii4gmd/GOwQgAIFsI4AozrYaI78QgAAE\nIAABCMQksGjGxzb369/ckmPuVMTGytVqW836LW3qJ4+HA2f53Wd99bybOzzxjX+EIkNvD80lPtx9\nFbQQ+33L+l6uQgV3CEWHLktSpGmlOeNfijiMgoj9MOn1X7b9KoY1B7qo1LB1b/f1klmfRey2MjSX\nWsHGtI40CQIQgEC2EkAUZ2vNkW8IQAACEIBAnhFYv2KhK/HO7dsKlFyRpMc8eYE1Dy0RpKTAUEqb\n169w7/pvWyiCs1Lw9/p+Z2hf70Ld45CLbePqRS4IliJPL1/4XchV+jbbtmmtWwpJltdNa5fagu/f\nc8ee+vFj7phaSknu10raR0niM5i2bPrl+3UrFgQ3F/isOcyywM6Z+B9bFyqzXJPnff2K22/Fwskh\nEfqLq3Zx5WnZ48hQsLDuLjr0p8/+yX6aPtYmh6Juf/z0xdai6y/zjKvXbuyOuyxkARaDFaEgYEo7\nt221raEyawBASUHH2u9zii2Z/bkbHHAbQ/8tnfOF1W64h3U6YJjbVFye/O94hwAEIJBJBCrcGEqZ\nlCHyAgEIQAACEIBA7hMYPXq0/by+gotkXFxpN4RE6tchC63WFZZl9qfQurpaK3fWF8+4NX0nvnGb\nTfnoIatUtZb1Pf4vbqmlSe/+MyQmZ9jmdcudwJRo/fbde0NCb01ItG5w7s8Lvn/Xpn78qG3bst7N\nqG3ctp81bN3LieR537zijq8AUo3a9Laeh14aWpO4nNWou3toXd8xNuPzp0PLI82yPoOvM1lPF4SW\nfJIr9fKFk2zax4+7Y65bucAJaa1hPC+0PvKkt+4KCcqFTpwrPzXrtwrN921YoPg6T6WqNUxrF0/9\n+JFQtOul1mn/YU7Uao3i2g1au2jXxZWnSbt93brDqxZNc6J69lfPubINOONfVuVXd+hKVarbkpCw\n1frNKkernr8LrbH8ohPS4iJrdb3mXd1cYi3fpPWLJ71zl5urvHzBJFvw3dt28DmPm9yrtXZzcXkS\n43jmWq9dPs+V/9prr7UqVaoUYMQGCEAAAokkUC40KvhLdIlEHpVjQQACEIAABCAAgSIIHHvscTZl\ncSUbNPyhIvZK31dad1jzh2s1aOkEYDAnstRu37YpHHRKXamdO7YVjOgc/FEpPiu6tY5bOST29V6u\nXIW4BGWsU8mKrQEFPzc4uI/yv3HN4tASUs2Cmwv9LAuy1m2uGRog0CBBMpIigr99/xBbs2aN1a5d\nOxmn4JgQgAAEwgSIPh1GwQcIQAACEIAABCDwC4GKlatZ3WadYuKQpTMYhVmW3VgRnWP+uAQbK2oJ\nqV+XkSpfoVIJfllw1yrVdyu48dctzgIepyDWTzT3uvEefQs9Hl9AAAIQyDYCzCnOthojvxCAAAQg\nAAEIQAACEIAABCCQMAKI4oSh5EAQgAAEIAABCEAAAhCAAAQgkG0EEMXZVmPkFwIQgAAEIAABCEAA\nAhCAAAQSRgBRnDCUHAgCEIAABCAAAQhAAAIQgAAEso0Aojjbaoz8QgACEIAABCAAAQhAAAIQgEDC\nCCCKE4aSA0EAAhCAAAQgAAEIQAACEIBAthFAFGdbjZFfCEAAAhCAAAQgAAEIQAACEEgYAURxwlBy\nIAhAAAIQgAAEIAABCEAAAhDINgKI4myrMfILAQhAAAIQgAAEIAABCEAAAgkjgChOGEoOBAEIQAAC\nEIAABCAAAQhAAALZRgBRnG01Rn4hAAEIQAACEIAABCAAAQhAIGEEEMUJQ8mBIAABCEAAAhCAAAQg\nAAEIQCDbCCCKs63GyC8EIAABCEAAAhCAAAQgAAEIJIwAojhhKDkQBCAAAQhAAAIQgAAEIAABCGQb\nAURxttUY+YUABCAAAQhAAAIQgAAEIACBhBGomLAjcSAIQAACEIAABCBQAgLrVy60uV+/UoJfsGu+\nEFj54/f5UlTKCQEIZAABRHEGVAJZgAAEIAABCOQdgXJmS+d86V55V3YKDAEIQAACGUWg3K5Qyqgc\nkRkIQAACEIAABCCQZwRuueUWGzlypM2YMSPPSk5xIQABCKSfAHOK018H5AACEIAABCAAAQhAAAIQ\ngAAE0kQAUZwm8JwWAhCAAAQgAAEIQAACEIAABNJPAFGc/jogBxCAAAQgAAEIQAACEIAABCCQJgKI\n4jSB57QQgAAEIAABCEAAAhCAAAQgkH4CiOL01wE5gAAEIAABCEAAAhCAAAQgAIE0EUAUpwk8p4UA\nBCAAAQhAAAIQgAAEIACB9BNAFKe/DsgBBCAAAQhAAAIQgAAEIAABCKSJAKI4TeA5LQQgAAEIQAAC\nEIAABCAAAQiknwCiOP11QA4gAAEIQAACEIAABCAAAQhAIE0EEMVpAs9pIQABCEAAAhCAAAQgAAEI\nQCD9BBDF6a8DcgABCEAAAhCAAAQgAAEIQAACaSKAKE4TeE4LAQhAAAIQgAAEIAABCEAAAukngChO\nfx2QAwhAAAIQgAAEIAABCEAAAhBIEwFEcZrAc1oIQAACEIAABCAAAQhAAAIQSD8BRHH664AcQAAC\nEIAABCAAAQhAAAIQgECaCCCK0wSe00IAAhCAAAQgAAEIQAACEIBA+gkgitNfB+QAAhCAAAQgAAEI\nQAACEIAABNJEAFGcJvCcFgIQgAAEIAABCEAAAhCAAATSTwBRnP46IAcQgAAEIAABCEAAAhCAAAQg\nkCYCiOI0gee0EIAABCAAAQhAAAIQgAAEIJB+Aoji9NcBOYAABCAAAQhAAAIQgAAEIACBNBFAFKcJ\nPKeFAAQgAAEIQAACEIAABCAAgfQTQBSnvw7IAQQgAAEIQAACEIAABCAAAQikiQCiOE3gOS0EIAAB\nCEAAAhCAAAQgAAEIpJ8Aojj9dUAOIAABCEAAAhCAAAQgAAEIQCBNBBDFaQLPaSEAAQhAAAIQgAAE\nIAABCEAg/QQQxemvA3IAAQhAAAIQgAAEIAABCEAAAmkigChOE3hOCwEIQAACEIAABCAAAQhAAALp\nJ4AoTn8dkAMIQAACEIAABCAAAQhAAAIQSBMBRHGawHNaCEAAAhCAAAQgAAEIQAACEEg/AURx+uuA\nHEAAAhCAAAQgAAEIQAACEIBAmgggitMEntNCAAIQgAAEIAABCEAAAhCAQPoJVEx/FsgBBCAAAQhA\nAAIQyB8C27Ztsy1btkQUWH/v3LnT1q9fH7G9fPnyVr169Yht/AEBCEAAAoklUG5XKCX2kBwNAhCA\nAAQgAAEIQKAwAuPGjbMDDjigsK8jtp933nn24IMPRmzjDwhAAAIQSCwB3KcTy5OjQQACEIAABCAA\ngSIJ7Lfffta0adMi9/Ffnnbaaf4j7xCAAAQgkCQCiOIkgeWwEIAABCAAAQhAIBaBcuXK2bBhw6xS\npUqxvg5va9SokfXv3z/8Nx8gAAEIQCA5BBDFyeHKUSEAAQhAAAIQgEChBGQB1tziwpIE85lnnmkS\n0CQIQAACEEguAeYUJ5cvR4cABCAAAQhAAAIxCXTo0MFmzZoV8ztt/Prrr22vvfYq9Hu+gAAEIACB\nxBDAUpwYjhwFAhCAAAQgAAEIlIjA8OHDrWLF2AuBtGnTBkFcIprsDAEIQKD0BBDFpWfHLyEAAQhA\nAAIQgECpCZxyyim2ffv2Ar+X67QEMwkCEIAABFJDAPfp1HDmLBCAAAQgAAEIQKAAgT59+jg36egV\nMmfOnGnt27cvsD8bIAABCEAg8QSwFCeeKUeEAAQgAAEIQAACcRFQMK3y5SO7Yz169EAQx0WPnSAA\nAQgkhkBkK5yYY3IUCEAAAhCAAAQgAIE4CJx88sm2c+fO8J4VKlRwyzWFN/ABAhCAAASSTgBRnHTE\nnAACEIAABCAAAQjEJtC4cWMbOHBg2Fosgay5xiQIQAACEEgdAURx6lhzJghAAAIQgAAEIFCAwNCh\nQ902rUm8//77W7NmzQrswwYIQAACEEgeAURx8thyZAhAAAIQgAAEIFAsgRNOOMFZihVsS3OMSRCA\nAAQgkFoCRJ9OLW/OBgEIQAACEIBAEghoaaPJkyfbF198YV999ZVt2LAhCWdJ3iHHjRtnixcvtmOO\nOcYqV66cvBMl+MgKEta1a1fr16+f7b333lanTp0En4HDQQACEEg+AURx8hlzBghAAAIQgAAEEkxA\nAvKzzz5zAvjzzz+38ePH2+bNm61WrVrWs2dPq127doLPmNzDqTw//fSTaYmmbEoajJgyZYrLu/Ld\nuXNn23fffa1v377uXYJZwcNIEIAABDKZAKI4k2uHvEEAAhCAAAQgYJs2bbJvvvnGWYFlCZYYloDU\nHNwOHTo4EdyrVy/ba6+93N/anm1Jgl7lOuigg7It6y6/y5cvd+stq570ktVe1vrq1auHBbKsyRLL\nTZo0ycoykmkIQCB3CSCKc7duKRkEIAABCEAgKwnMnTs3LIBlBZ40aZLJItmgQQMngPfcc0+TCNZ7\njRo1srKMuZ5pRdGePn26E8gSyarD2bNnu2K3bt3auVtLJOuleqxSpUquI6F8EIBABhNAFGdw5ZA1\nCEAAAhCAQK4TWLt2rXN9lgVYAljvK1assEqVKlmXLl2cYJIFWK9WrVrlOo6cLp/qWuLYW5O//fZb\nW7VqlatrDXLI7doLZeo6py8FCgeBjCOAKM64KiFDEIAABCAAgdwkIOvh1KlT7csvv3TiVyJYfyvq\nspYhkvD1VuBu3bphPczNyyCiVPIK8JZkvU+bNs127NhhDRs2tP322y8skjXXumbNmhG/5Q8IQAAC\niSKAKE4USY4DAQhAAAIQgEAEgZ9//jlCACsq9Pr169080+7du4etwLISNmrUKOK3/JGfBDS3+rvv\nvgtbkyWUly5d6uaP65rx1uR99tnHOnXq5LbnJylKDQEIJJIAojiRNDkWBCAAAQhAIE8JbN261eQO\nK/dnWYJlBZYVUGmPPfYIC2BZgxWhmIjEeXqhlKLYS5YsiQji9f3337tI44owLnHshbKCeNWvX78U\nZ+AnEIBAvhNAFOf7FUD5IQABCEAAAqUgsHDhwohgWBMnTjQJ4912280Fw/LzgPWubSQIJIqAgq7J\n7d7PTdb7/Pnz3eHbt2/vRLLEsuYn9+jRwypWrJioU3McCEAgRwkginO0YikWBCAAAQhAIFEENm7c\naBMmTIgQwbLelS9f3ll9tS6wF8Ft27bFpTVR4DlO3AQUsEvi+Ouvv3bBvOS1sG7dOqtatapb+9lb\nkyWUNX+dBAEIQCBIAFEcpMFnCEAAAhCAQJ4TUNCrWbNmRQhgzfFUkCzN+1UgLC+AJYarVauW58Qo\nfiYS8NexF8oSyTNmzHBB3Xbfffewy7VEsua0cx1nYi2SJwikjgCiOHWsORMEIAABCEAg4wjIwqYA\nWH5JJM0HXr16tVWuXNkUAVoC2Avh5s2bZ1z+yRAE4iWwYcMGN+9d1mSJZQnl5cuXO/dqDfAErcny\neCBBAAL5QwBRnD91TUkhAAEIQCDPCWipm8mTJ0dEhJb1TKlFixZhC7CEsNYIljAmQSCXCSxYsCDs\ncq01lKdMmWLbtm1zAbuig3gpsBcJAhDITQKI4tysV0oFAQhAAAIQMM37lQXYW4E1L1jzg2vUqBER\nDEuW4AYNGkAMAnlPYMuWLabo1rIk6yWh/NNPP7l58oqa7q3JEsxdu3Z18+rzHhoAIJADBBDFOVCJ\nFAECEIAABCDgCcjS9de//tUtiSQrWLly5axdu3YRVuAOHTrQmffAeIdAMQSWLVsWIZI1x16DSzVr\n1rS9997bzjjjDDvrrLOKOQpfQwACmUwAUZzJtUPeIAABCEAAAiUk8MILL9hJJ51kV1xxhRPCmitZ\nq1atEh6F3SEAgcIIaBrC9OnTnVB+4oknXAT2V199tbDd2Q4BCGQBARZuy4JKIosQgAAEIACBeAnI\nMqx08cUXx/sT9oMABEpAoEKFCs51Wu7TWp9b6yaTIACB7CZQPruzT+4hAAEIQAACEIAABCAAAQhA\nAAKlJ4CluPTs+CUEIAABCEAAAgkioHma7du3L7Be7LvvvmsDBgywqlWrFjiTgiJpCampU6e6uZ2K\nml2+fMHx/oULF9qYMWPcMQYNGlTmoGKaYzpnzhwXdKlApkIb4jlfUfso0FPdunVN6+mWJW3dutXe\neustFyxKkZN79+7tLJuXXHKJydqZivTZZ5/ZRx99ZA0bNrRjjjnGmjRpUuC069evt1deecVxa926\ntR177LEFroMCP2IDBCAAgQQSKPjkSODBORQEIAABCEAAAhAojsD7779vK1eujBBCH374oR199NF2\n7rnnmsRvdNL6sgcffLAtWrTIzaF+55137Oyzz7adO3dG7PrAAw/YlVdeafvvv79JcJ1yyiluXeaI\nneL8Y8WKFXbLLbdY//79TeeLleI5X3H7dOrUyUaMGOEEf6xzxLtNLvQVK1a0888/3xR5/Mwzz7R7\n77035sBBvMcsyX4q54033mgSvQ8//LAbRFC9BpMGFzRQoe8fffRRu+aaa+zwww83DTyQIAABCKSK\nAKI4VaQ5DwQgAAEIQAACBQhIDEnYDhw4MPydlsDp2LGj7bHHHuFtwQ8SvhJ6Eo8SufXq1bOrr77a\nZs6cabfffnt4V1mH9ff111/vjqVIweecc44T2osXLw7vF++HH3/80U444YSYIl3HiOd88ewjIXvz\nzTebRKUCOpUmydos4S6ujRs3tqefftqxKs2x4vmNBgxUNp8U+bx58+YmS/+tt97qvlO0ZgnfYFKk\n9JEjR7rvtXTYySefbPrtnXfeGdyNzxCAAASSSgBRnFS8HBwCEIAABCAAgcIIzJgxwwmioUOHRuwi\nt2G9JKpiJblMy/J56qmnhr+WO/CJJ55oTz75pFsuR19IVCoYUrdu3cL7HXfcce775557Lrwt3g+K\n5N22bdtCd4/nfPHsoxOoPBLw1157baHnK+qLsWPHumNoTWolBWDzUch9MLaifl+S7xSNWS7ZGjTw\nadu2bTZ48GD/p1sbWxZgnwd9MXnyZFN9aP1fpfr167uo6cqfAliRIAABCKSKAKI4VaQ5DwQgAAEI\nQAACEQRuu+02N3+0pCLNuy7LmhxM+nvTpk1uDqvcsb/66itnTQ7uo7nJLVu2tNdffz24ucyf4zlf\nPPsEM3LAAQc412PNCy5J+uCDD5yo1PzqN998M/yaO3duzMPIvfm1116ze+65xzRYIMt9dNq8ebPj\net999znX7iVLlrhd5Np+4YUX2rhx42z8+PE2atQo5/ocPXgg6/78+fOd0PfH1qCH5g8HU6NGjax7\n9+622267BTfzGQIQgEBSCSCKk4qXg0MAAhCAAAQgEIuArMQKwCT33pKmH374wf1EAiqYZGlUkviT\nC+6uXbsseh9936BBAyfQ9H2iUjznkygsaZ769Olj999/f4myqTJLEFepUsW5Tst9Wi+5L0cnBSmT\nhV0u25pzvGbNGjvkkEPspZdeCu+6YcMGO/DAA12gsgsuuMBkGdZvJJQlin0d6hxyedd5g0kC+vLL\nL7devXqZyuOTgonFGhCRa7s/pt+XdwhAAALJJIAoTiZdjg0BCEAAAhCAQEwC06ZNc9slpEqafv75\nZyf6KleuHPHTatWqub8VpEmBuJRiRa3WfnLvXbVqldsnEf/Fcz4v5kuSpw4dOrh5xYokHW+SpVXC\nXy7YijjtX9EDBDqmgnHJrfnII4907ssKbHbooYe6gFezZs1yp3zvvfec9bddu3bumApwpnnfGthQ\nVOsePXq4/WQd3nfffSOsvJ9++qmddtppLrr0Qw89ZJdeemmRxZBrvPKtoGkkCEAAAqkigChOFWnO\nAwEIQAACEIBAmMDs2bPdZy3VU9Lk58lG/04WTCWJv+rVq7vPsSyR2k+COpEuuvGcz5e1JHnSHFzl\nV1bmRCfNO1b0Zy1lFUxaAkuDBn7etZZSUsAs5V/WYQlXpXnz5gV/FtPqKxdwRZz+5JNPrEuXLk4c\nR0eg9gdROe+++2575JFH3Bxkv513CEAAAskmgChONmGODwEIQAACEIBAAQKaX6sU7WpbYMcYG5o2\nbeqWXopeqkluvkqyaDZr1sx93rhxo3sP/qc5tG3atHEWyeD2snyO53w+cFhJ8uQHAEoTLbu48nhL\nsD+H379v377uox+4kCu2BPFdd93lBKv4KkW7n8cS+27H0H8tWrRwy0Hp76+//tpvjnjXclcKLhYM\njBaxA39AAAIQSBIBRHGSwHJYCEAAAhCAAAQKJ+ADMcUSiIX/6pdvvCiLFopeaLdv394knOUmHSto\nlNymtU8iUzzni2ef6Dxpjq+SfpvoVKdOHXfIaJGqyN+aY+wt6QsXLrTf/e53tueee9pFF13kIoPH\nyktRolj7i7ms+NFu3PrumWeecZHC5bpNggAEIJBqAojiVBPnfBCAAAQgAAEIuHWIhUHr25Y0aS1b\nuT9rWaZg0tq8ctH1wZ603zfffOOsyn6/devWObffo446ym9KyLss3sWdL559ojOj+dFKsrQmOknk\nKnl3aH98zRXevn27C4ylbYpKLXdqzSVWUiTpYPJi2LuvB78LflZdr1271vr37x/cbG+//bazOit4\nVzBp3WISBCAAgVQQQBSngjLngAAEIAABCEAggoBcZBVwavr06RHbg394K2m0m7QsjcOGDTMFbvIu\nvJrr+v7779vtt9/ugnDpOHLF1TGCSxppKSYfWMqfS2viat7ss88+6zcV+l5YnvSDeM4Xzz7Bk2vt\nX83xDQbnuuaaa2z48OGmgGOFJTGTkA0KWLmNK4mVkgYQJES1dJUCZ/mkpZVat24dXgda1nydS3OB\nZY1/6qmn3K5Lly51fL3lVxZn1YeCqI0ZM8ZFsNYSWT5pjrLWXZbruk8KxPXggw86Ea41pvV67LHH\n3H5FXRv+97xDAAIQSASBCjeGUiIOxDEgAAEIQAACEEg/AS2x88ILL9hll12W/swUkQOJPAkoWXsl\nUoNJAmz06NFOpEpUycKoQFatWrUK7yZro1yjH3/8cRdFWoJNEZS1dJBPiows6+Y///lPF1BKIksB\nq6666qqIQE6ySI4cOdKts6voy5pDGytpCakHHnjAZs6caXLdlnuxBKGfkxvP+eLZx59b0aElgG+4\n4Qa3trLffvPNN9u3337rzq3I0tHpxRdfdOwk4CVoNQChdYQ1iCCeEsyyEstyLV6KnK1ln8R48uTJ\nbnBhxIgR5t2r5bqt3z///POO4xVXXOGsyxqE0DxpLbMkYS2Lr94HDx5sU6ZMMXUxFTRL7tf6W3OV\ngxZ6WfaHDh1qEv4S0f6lAGCa76w5zMHBgOhyZsLfWjNbAw+nnnpqJmSHPEAAAqUkUC70QErcIn2l\nzAQ/gwAEIAABCEAgMQQkiIYMGWJ++Z/EHDU5R5HFUkJWArg0SzMpV3LZlfXSR3YuLKfaR5GcK1Wq\nFHMXCW9FPlawp0Sk4s6ncxS3zxtvvGEvv/yyPfzwwxFZkqjVMkkStYmagyu3ZglRBQyLNX9Zwk/1\n5aNsq/soS7RfFkt/y3LcpEmTcF71G3HV8lDexTr8ZY580PrLcjV/9dVXc6REFAMC+Ukg9lBofrKg\n1BCAAAQgAAEIpJCArIC33XabE6NBN9+SZEFr2hYniHW8evXqFSqI9b1cqLV8UKJScefTeYraR5Gf\nJYjvu+++AlmSBVmuyoMGDSrwXWk3yIItq3MsQaxjynruBbH+lsj1gtj/HRTE2uajVueqIFYZSRCA\nQG4QQBTnRj1SCghAAAIQgEBWEthnn33s6KOPdhba0grjshZcwbdkRZbVOhOS3InlvnzHHXfEdB+W\n67RcwBUhmgQBCEAAAmUnQGtadoYcAQIQgAAEIJAxBPysKFkYZfnr3r27E3wZk8EYGdH84I4dOzo3\n1KD1McauSdkkQbzvvvsm5dilOagYaD5tYRbWRFq0S5O/fP+NXPZlyVdkc83B7ty5c74jofwQyHoC\nzCnO+iqkABCAAAQgAIHfCCig0U033eQCIykQlYRVp06drEePHm6JnV69epnWCC4smNRvR+ITBCAg\nAgr8NmnSJCeCZaWXGFYAMwVY0/2kSOhnn302sCAAgSwmgCjO4soj6xCAAAQgAIGiCEgUf/bZZ6bo\nynppHqqiD9esWdP22msvF4HYv2t+KwkC+U5A87W1pJSEr38tWLDAYenQoYPzKOjXr5/pJS8MzWkn\nQQAC2U8AUZz9dUgJIAABCEAAAnERUJRcWbq8SP7888/dEjv6sdaO9QJZ1i+5MxcWqTmuk7ETBLKA\ngNZn9uJX71omSsK4bt26bgkpL4D17peoyoJikUUIQKCEBBDFJQTG7hCAAAQgAIFcIqBlgSSOv/zy\nS/c+fvx40/q2Wu5HLtdaz1YiWYI5OrpwLnGgLLlPQC7PmgPsRbA8J+QaLWuv1nLWvHIvgjUoRIIA\nBPKHAKI4f+qakkIAAhCAAASKJaBAXXIfDVqTp06daooMLVEsgSyhLJEs91Etq0SCQKYR0HU8d+7c\nsACWEJ4+fXr4OvYCWNHP995774jlpjKtLOQHAhBIPgFEcfIZcwYIQAACEIBAVhNYv369yYLshbLe\nly1b5ixsXbp0ibAmt27dOqvLSuazk8Dq1atdMCwfEEsieO3atc7jQQM4XgTrvUWLFtlZSHINAQgk\njQCiOGloOTAEIAABCEAgdwnMmzcvLJLlfq25yn4upp+brPeePXta7dq1cxcEJUs5Ac2NnzFjRtgK\nLCE8Z84clw/NjfcCWK7Q8mpgbnzKq4gTQiDrCCCKs67KyDAEIAABCEAg8whIEGuOprcmSyj7qL3t\n27d37tYSyXrpb6L2Zl4dZmqOli5dGhbAGnzRS1HUtb50nz59wiJYYrhBgwaZWgzyBQEIZDABRHEG\nVw5ZgwAEIAABCGQzAYkZiWMvlCdMmGAbNmxw8zdlQfYiWda8hg0bZnNRyXuCCGzevNm01rYPhiUr\nsCJEa73tzp07hwWwrMBy3We97QSB5zAQyHMCiOI8vwAoPgQgAAEIQCBVBHbs2OGWvPEiWYJZbrBK\nmufpRbLeJXgqV66cqqxxnjQRkDeBPAwkgiWAJYjlHi2Lr4Jg+WjQ+izLMAkCEIBAMgggipNBlWNC\nAAIQgAAEIBAXAQVI0nJQfkkova9atcoJ4q5du0YI5ebNm8d1THbKTAIK2Pbdd985EewDYq1YscIq\nVqzo5p4H5wK3bds2MwtBriAAgZwkgCjOyWqlUBCAAAQgAIHsJTBz5sywy7WsyVpbVlZmuVh7a7Jc\nruWCXb169ewtaA7nXEt4zZ4921mAZQmWCFa9aqkkDW54ASwLcO/evVnaK4evBYoGgWwggCjOhloi\njxCAAAQgAIE8JrBx40abOHFihFBevHixm0/aqVOn8LrJEsyyMGr+KSm1BFauXBkxD1giWJbhatWq\nOdHrRbDcoZs1a5bazHE2CEAAAsUQQBQXA4ivIQABCEAAAhDIPAILFy6MEMmyRm7ZssUt/yQLMvNP\nU1NnsuBPnz7d5s+f706oyOJBAdy9e3fnHp2a3HAWCEAAAqUjgCguHTd+BQEIQAACEIBABhHYtm2b\nW6pHQbwU5VrW5WxKsnxrfm23bt2yKdvOWt+xY0cXEEuu0PXq1cuq/JNZCEAAAiKAKOY6gAAEIAAB\nCEAAAmkmcMstt9jIkSPD0bjTnB1ODwEIQCCvCJTPq9JSWAhAAAIQgAAEIAABCEAAAhCAQIAAojgA\ng48QgAAEIAABCEAAAhCAAAQgkF8EEMX5Vd+UFgIQgAAEIAABCEAAAhCAAAQCBBDFARh8hAAEIAAB\nCEAAAhCAAAQgAIH8IoAozq/6prQQgAAEIAABCEAAAhCAAAQgECCAKA7A4CMEIAABCEAAAhCAAAQg\nAAEI5BcBRHF+1TelhQAEIAABCEAAAhCAAAQgAIEAAURxAAYfIQABCEAAAhCAAAQgAAEIQCC/CCCK\n86u+KS0EIAABCEAAAhCAAAQgAAEIBAggigMw+AgBCEAAAhCAAAQgAAEIQAAC+UUAUZxf9U1pIQAB\nCEAAAhCAAAQgAAEIQCBAAFEcgMFHCEAAAhCAAAQgAAEIQAACEMgvAoji/KpvSgsBCEAAAhCAAAQg\nAAEIQAACAQKI4gAMPkIAAhCAAAQgAAEIQAACEIBAfhFAFOdXfVNaCEAAAhCAAAQgAAEIQAACEAgQ\nQBQHYPARAhCAAAQgAAEIQAACEIAABPKLAKI4v+qb0kIAAhCAAAQgAAEIQAACEIBAgACiOACDjxCA\nAAQgAAEIQAACEIAABCCQXwQQxflV35QWAhCAAAQgAAEIQAACEIAABAIEEMUBGHyEAAQgAAEIQAAC\nEIAABCAAgfwigCjOr/qmtBCAAAQgAAEIQAACEIAABCAQIIAoDsDgIwQgAAEIQAACEIAABCAAAQjk\nFwFEcX7VN6WFAAQgAAEIQAACEIAABCAAgQABRHEABh8hAAEIQAACEIAABCAAAQhAIL8IIIrzq74p\nLQQgAAEIQAACEIAABCAAAQgECCCKAzD4CAEIQAACEIAABCAAAQhAAAL5RQBRnF/1TWkhAAEIQAAC\nEIAABCAAAQhAIEAAURyAwUcIQAACEIAABCAAAQhAAAIQyC8CiOL8qm9KCwEIQAACEIAABCAAAQhA\nAAIBAojiAAw+QgACEIAABCAAAQhAAAIQgEB+EUAU51d9U1oIQAACEIAABCAAAQhAAAIQCBBAFAdg\n8BECEIAABCAAAQhAAAIQgAAE8otAxfwqLqWFAAQgAAEIQAAC6SUwZ84cGzt2bEQmJk6caGvWrLHH\nHnssYnvz5s3tsMMOi9jGHxCAAAQgkFgC5XaFUmIPydEgAAEIQAACEIAABAojsGDBAmvVqpWVK1fO\nypcv3Glvx44ddsstt9h1111X2KHYDgEIQAACCSCAKE4ARA4BAQhAAAIQgAAESkKgX79+9tVXX1lx\ntom5c+damzZtSnJo9oUABCAAgRISKHx4soQHYncIQAACEIAABCAAgfgIDBs2rEgrsazIvXv3RhDH\nh5O9IAABCJSJAKK4TPj4MQQgAAEIQAACECg5gSFDhhRpJZZbtYQzCQIQgAAEkk8AUZx8xpwBAhCA\nAAQgAAEIRBBo0KCBHXzwwYVai3fu3GknnXRSxG/4AwIQgAAEkkMAUZwcrhwVAhCAAAQgAAEIFEng\nzDPPjGktlpV44MCB1rhx4yJ/z5cQgAAEIJAYAojixHDkKBCAAAQgAAEIQKBEBI499lirVKlSzN9I\nMJMgAAEIQCA1BBDFqeHMWSAAAQhAAAIQgEAEgVq1atngwYOtYsWKEdtlKT7++OMjtvEHBCAAAQgk\njwCiOHlsOTIEIAABCEDg/7N3H/BSVOf/xx96772DFBHEjqAoigVLwBrFAmpsiSYmUaPGqH81ajSW\nGH+xxYINNBErdrEBigqIWFAp0gVEivQO//0ec9bZvXvv7t67e+/u7Oe8Xnv37u7s7Mx7dmbnmfOc\ncxBAoESBoUOH2tatW6PTVKlSxX7xi19YgwYNos/xDwIIIIBAdgUIirPry9wRQAABBBBAAIFiBY46\n6iirU6dO9HV1sKVAmYIAAgggUH4CBMXlZ80nIYAAAggggAACMQI1atRwvUz7tsU1a9a0QYMGxUzD\nAwQQQACB7AoQFGfXl7kjgAACCCCAAAIlCpx++um2ZcsWNzzTiSeeaAqMKQgggAAC5SdAUFx+1nwS\nAggggAACCCBQRGDAgAHWpEkTI3W6CA1PIIAAAuUiUGlHpJTLJ/EhCCCAAAIIIIBAjgjcdNNNdvXV\nV+fI0uTmYnTp2tVmzpiRmwvHUiGAAAIZFIgdAyCDM2ZWCCCAAAIIIIBALgvUbdjC9j3x5pxYxNU/\nzLbFMyfYzvvnRidbc6e+ZNt+/DInbFgIBBBAINsCBMXZFmb+CCCAAAIIIJCTAjVq1bWd9jo2Z5Zt\np72Os/rNOuXE8qxaOstWEBTnxLZgIRBAIPsCtCnOvjGfgAACCCCAAAIIJBXIlYA46YIyAQIIIBAy\nAYLikG1QVgcBBBBAAAEEEEAAAQQQQCB1AYLi1K2YEgEEEEAAAQQQQAABBBBAIGQCBMUh26CsDgII\nIIAAAggggAACCCCAQOoCBMWpWzElAggggAACCCCAAAIIIIBAyAQIikO2QVkdBBBAAAEEEEAAAQQQ\nQACB1AUIilO3YkoEEEAAAQQQQAABBBBAAIGQCRAUh2yDsjoIIIAAAggggAACCCCAAAKpCxAUp27F\nlAgggAACCCCAAAIIIIAAAiETICgO2QZldRBAAAEEEEAAAQQQQAABBFIXIChO3YopEUAAAQQQQAAB\nBBBAAAEEQiZAUByyDcrqIIAAAggggAACCCCAAAIIpC5AUJy6FVMigAACCCCAAAIIIIAAAgiETICg\nOGQblNVBAAEEEEAAAQQQQAABBBBIXYCgOHUrpkQAAQQQQAABBBBAAAEEEAiZQNWQrQ+rgwACCCCA\nAAIIZEVg/aoltnjGB0XmXatBc2vQvIvVadiqyGvJnkg4z0qVrPM+JxR564Y1y2zRN2OLPN9pr2Ot\ncpWfTumWfPuxrVuxMDpN3SbtrMVO+0Yf8w8CCCCAQFEBguKiJjyDAAIIIIAAAggUEahVr7kpyHz9\nnpNty8Y11m2/odasw572w/xPbf4XF9vWzRus/7B/WdtdDiny3uKe0DzrNW1vb9x3qm1at9J22vt4\n2/f46xNOXrNuE2vQoou99dBZtnb5fGvb41Db/+S/RwNivalhi66RwH28ffLyzbb34L9Ym10GJJwX\nTyKAAAII/CxA+vTPFvyHAAIIIIAAAggUK1CpcmVX66pAWGWXA8+M3M6yvifeaMdd8Y5Vr9XAXr/7\nJFu+4Iti5xH/gubZvFNvd9NrXXqfZHUbtYmfzD2uFKlBbtp+d2vdrb973HGPwVa/WaeYaWvWbWx7\nHHmpVatR1/Y44hLTYwoCCCCAQMkCBMUl+/AqAggggAACCCAQI6CAM75Ur1XfOux+tHt6/pdvxL+c\n9HG1mj/Ns2qN2kmnrV6rnpumes2f7uPfoOC5TuM2pnsKAggggEByAdKnkxsxBQIIIIAAAgggkFRg\n8/pVbprt27cVmXbdj4tt4Vdv27ofF0Vqm/tYm+4HFZkmk09UrlQlk7NjXggggECoBagpDvXmZeUQ\nQAABBBBAoDwEVnz3lc2d+pJVrV67SCdZiyJtfKe8+ndr0m43a9hyZxvzwDD74D+Xlcdi8RkIIIAA\nAikIUFOcAhKTIIAAAggggAAC8QKzp7xoC6a9ZSsXfeM62+ra91Tr3u+MmHa+WzautfEj/mAnXDU+\n0s63jjWNBMYLv3rHvh4/3Lr2OTnaljh+3jxGAAEEECg/AYLi8rPmkxBAAAEEEEAgRAIagmnl4m9s\nzqcvup6o9z3u2iJr9+3k52zrlo028fnroq9tWP19pMfpjrbqhzkExVEV/kEAAQQqToCguOLs+WQE\nEEAAAQQQyGMBjf/bo/859uPi6TbjwxHWpO2u1vPg82LWSEFz7QYtrN8pt8U8X5YHlatUc2/fkaDt\ncnS+dLIVpeAfBBBAIJkAbYqTCfE6AggggAACCCBQjIAC1EPOGR4Z+qipffTsVab2w8GiIZdWfT/L\ntm/bEny6VP+vXbHQva9Jm13d/eplcxLOZ/u2rValao2Er/EkAggggEBRAYLioiY8gwACCCCAAAII\nFCuww3bEvKY06kPOechsxw57+6Gzbc3y+dHXVXu8dfP6SBviR6LP6Z9NkZ6qvxr3cMxzJT1YNH2c\nzZ7ygpukWae93b0690pUls6ZZM06/jRNotd5DgEEEEAgVoCgONaDRwgggAACCCCAQIkCfuilNcsX\nRKdr3e1A2+eYq23TuhU25v7TbfPGNe61nfY63uo0bG0fP/f/7PMx/7KVS6bb7E9esPefvNi67Hty\n9P1r/zev7VuL1igvnTPZ3nvsQmu7yyFu+vqR9sjteh5mcz97xeZ9/lp0Hvpn3crvbPJLN0XSuM+P\neZ4HCCCAAALFC9CmuHgbXkEAAQQQQAABBKICGmv4m/cfNdXEqkx97XbbuHZ5pF3x2e7xbof/PvLa\n5Eig+qq9fMfRtvfgv1iH3Y6yIy96xsb8e5hNfOE6d2vUqrsddOZ9Vr1mPTdu8Rdv32vL5k918xj7\nxG/dsE22Y7tt2bTOvb5h9dJIu+RW1rhNDzeN/hz+6xH2/lN/snEjLrK6jdtZ49Y93LR6rf+wu02B\nMwUBBBBAIDWBSjsiJbVJmQoBBBBAAAEEEAiHwE033WR33vOIHX/1xHJbIdUsV4p0gFW3cduMfaZO\n49Ysm+tqphVsV6laPSPz/vT1O2zFV6Ns9qwZGZkfM0EAAQRyWYCa4lzeOiwbAggggAACCIRGoF6T\ndhlfFwXZ9Zt1yvh8mSECCCBQSAK0KS6krc26IoAAAggggAACCCCAAAIIxAgQFMdw8AABBBBAAAEE\nEEAAAQQQQKCQBAiKC2lrs64IIIAAAggggAACCCCAAAIxAgTFMRw8QAABBBBAAAEEEEAAAQQQKCQB\nguJC2tqsKwIIIIAAAggggAACCCCAQIwAQXEMBw8QQAABBBBAAAEEEEAAAQQKSYCguJC2NuuKAAII\nIIAAAggggAACCCAQI0BQHMPBAwQQQAABBBBAAAEEEEAAgUISICgupK3NuiKAAAIIIIAAAggggAAC\nCMQIEBTHcPAAAQQQQAABBBBAAAEEEECgkAQIigtpa7OuCCCAAAIIIIAAAggggAACMQIExTEcPEAA\nAQQQQAABBBBAAAEEECgkAYLiQtrarCsCCCCAAAIIIIAAAggggECMAEFxDAcPEEAAAQQQQAABBBBA\nAAEECkmAoLiQtjbrigACCCCAAAIIIIAAAgggECNQNeYRDxBAAAEEEEAAgQIRWL74W3vot00KZG3T\nX83OXbqm/ybegQACCOShAEFxHm40FhkBBBBAAAEEyiZwwgknWLdu3co2kwy+e/To0TZhwgS75ZZb\nMjjXss2qXr16ZZsB70YAAQTyRKDSjkjJk2VlMRFAAAEEEEAAgVAK3HTTTfb444/b9OnTQ7l+rBQC\nCCCQywK0Kc7lrcOyIYAAAggggAACCCCAAAIIZFWAoDirvMwcAQQQQAABBBBAAAEEEEAglwUIinN5\n67BsCCCAAAIIIIAAAggggAACWRUgKM4qLzNHAAEEEEAAAQQQQAABBBDIZQGC4lzeOiwbAggggAAC\nCCCAAAIIIIBAVgUIirPKy8wRQAABBBBAAAEEEEAAAQRyWYCgOJe3DsuGAAIIIIAAAggggAACCCCQ\nVQGC4qzyMnMEEEAAAQQQQAABBBBAAIFcFiAozuWtw7IhgAACCCCAAAIIIIAAAghkVYCgOKu8zBwB\nBBBAAAEEEEAAAQQQQCCXBQiKc3nrsGwIIIAAAggggAACCCCAAAJZFSAoziovM0cAAQQQQAABBBBA\nAAEEEMhlAYLiXN46LBsCCCCAAAIIIIAAAggggEBWBQiKs8rLzBFAAAEEEEAAAQQQQAABBHJZgKA4\nl7cOy4YAAggggAACCCCAAAIIIJBVAYLirPIycwQQQAABBBBAAAEEEEAAgVwWICjO5a3DsiGAAAII\nIIAAAggggAACCGRVgKA4q7zMHAEEEEAAAQQQQAABBBBAIJcFCIpzeeuwbAgggAACCCCAAAIIIIAA\nAlkVICjOKi8zRwABBBBAAAEEEEAAAQQQyGUBguJc3josGwIIIIAAAggggAACCCCAQFYFCIqzysvM\nEUAAAQQQQAABBBBAAAEEclmAoDiXtw7LhgACCCCAAAIIIIAAAgggkFUBguKs8jJzBBBAAAEEEEAA\nAQQQQACBXBYgKM7lrcOyIYAAAggggAACCCCAAAIIZFWAoDirvMwcAQQQQAABBBBAAAEEEEAglwUI\ninN567BsCCCAAAIIIIAAAggggAACWRUgKM4qLzNHAAEEEEAAAQQQQAABBBDIZQGC4lzeOiwbAggg\ngAACCCCAAAIIIIBAVgUIirPKy8wRQAABBBBAAAEEEEAAAQRyWYCgOJe3DsuGAAIIIIAAAggggAAC\nCCCQVQGC4qzyMnMEEEAAAQQQQAABBBBAAIFcFqi0I1JyeQFZNgQQQAABBBBAIEwCEydOtGuuuca2\nb98eXa0lS5bYypUrbZdddok+V6lSJRswYIBdeeWV0ef4BwEEEEAg8wIExZk3ZY4IIIAAAggggECx\nAuvXr7fGjRvbpk2bip3Gv/DEE0/Y0KFD/UPuEUAAAQSyIED6dBZQmSUCCCCAAAIIIFCcQO3ate34\n44+3qlWrFjeJe7569ep23HHHlTgNLyKAAAIIlF2AoLjshswBAQQQQAABBBBIS0C1v1u3bi32PQqY\nBw8ebHXr1i12Gl5AAAEEEMiMAEFxZhyZCwIIIIAAAgggkLLAwIEDrX79+sVOr4B52LBhxb7OCwgg\ngAACmRMgKM6cJXNCAAEEEEAAAQRSEqhWrZqdcsoppvtEpU6dOnbUUUcleonnEEAAAQQyLEBQnGFQ\nZocAAggggAACCKQicNppp9mWLVuKTKpAeciQIaY2xRQEEEAAgewLEBRn35hPQAABBBBAAAEEigj0\n79/fmjdvXuR5BcoKmCkIIIAAAuUjQFBcPs58CgIIIIAAAgggECOgcYjPOOOMIinUTZo0ceMTx0zM\nAwQQQACBrAkQFGeNlhkjgAACCCCAAAIlC5x66qkxKdRKnVYHW5Urc4pWshyvIoAAApkT4IibOUvm\nhAACCCCAAAIIpCWw1157WadOnaLvUeq0AmUKAggggED5CRAUl581n4QAAggggAACCBQROPPMM03j\nEqu0a9fO9t133yLT8AQCCCCAQPYECIqzZ8ucEUAAAQQQQACBpAKqGda4xGpjrACZggACCCBQvgI/\nXZYs38+s8E+bOXOmff7557Z9+/YKX5Z8XQC1ddp1111t5513ztdVYLnzRGDZsmX22Wef2YoVK/Jk\niQt3MXVC36FDB3dsqFWrVuFCsOYVKvDDDz/Y5MmTbe3atRW6HOl+ePv27W3+/PnWuHFjGzVqVLpv\nr7DpdT7Qs2dPdz6gYwAFAQQQyEeBSjsiJR8XPJ1l/uabb2zs2LH23nvvuduSJUvSeTvTliCgoSQO\nPvhgdzvooINsl112cVe6S3gLLyGQUECHotmzZ9vUqVPd7dNPP3X33333XcLpeTJ3BXSSrAtme+65\np+2xxx7RW7NmzXJ3oVmyvBTYvHmzu8j90Ucf2ccff2wffvihffvtt3m5Lvm+0PXr17e+ffvafvvt\n5+579+5t6kWbggACCOSDQOiCYp1Yf/XVV9EgWMHw0qVLrXbt2rbPPvtYnz593MF6t912KzIEQj5s\nsFxZRqV5ffHFF+4kRCcj/qp806ZNTcGxAmXdqzaZK8e5stVyZzk2bdpkX375ZUwArNpg1ezo+7LT\nTjtZjx49ojfVQui7RcltAR1/586d647BOg772/fff+8WvFWrVi5AVrDsA+bOnTtzjMjtzZpTS7dw\n4ULTb45uCoA/+eQT0/GkQYMGtvvuu0e/X+q8Ss/lU9EF+9GjR9v555+fT4vt0r6nTZtmupDpL2bO\nmzfPrUO3bt1ckOzPvXr16hVtO51XK8nCIoBA6AXyPijWSZiCMwW/vjZ4+fLlVrduXdNVSn8gVnDm\nO7H2ZMKHAABAAElEQVQI/VatgBXctm2b6UfRX62fNGmSrV692qWBKTj2N12MYJiJCthAFfiR2h99\n7a/uddKk7A19Z5Riq+wC3XwQ3L17d/d8BS4yH51hAX0HdHzwQbLulRWgJix16tRxwYwPklWzrON1\nzZo1M7wUzC7fBNavX++CXh8ET5gwwRQ46jdExwkFwf4CS5cuXUJxcWXjxo2h+O6vXLnSpkyZEg2U\n1WRtzZo1bt10buZrk1WzrItlFAQQQKCiBfIuKNZJlA6uSoX2gbAOvkrbUW+Nuukgq5qlKlWqVLRv\nwX6+tpNOfINB8o8//mgNGza0/v37R2uTdVLDdgrH10QXqObMmRMNgH2NgWp2VFTT6wNf7Z/6X8OQ\ncJEkHNs/3bXQyb8ujgQDZT1WIOSDnmCgrGCZbIF0lfNneh0/Zs2aFVMLrOwR/ZaomU4wANZ3gTbr\n+bNttaTavjNmzIgGybpAqsd6vk2bNrb//vu7czedv6mWn4ti+bV9WVoEwiCQ80GxapN08FQA/O67\n79r48eNt1apVLrjS1UYdQFUbrBNsTq5z9yupH76vv/46mm6tmmR1nKSLGQcccIANGDDABcr6MSRI\nzt3t6JdM6Yqq+fM1wAqAdQKrmgCf/hys/VUQTHtSr8d9cQIKgBKlX6sJjErr1q2j6bE+YFaqPU00\nihPN3ed1MVu/Az4NWve6cFq9enV3UdtvX91riCJK+ATUXEa/G6pR1m+J/lfHisrq04WPYG2y9nMK\nAgggkE2BnAuK1VZVB0gfBL///vvuRFu9MaoW2KdDK3WKE6FsfjWyO29/1Vgdo+hkaOLEie7HUGnv\n/fr1iwbJagdO2nt2t0WyuevihQ9+da8AWBc4fPqz9sVgAKz/qcVJpsrr6QjoRDlR+rWOIzpm+FpE\nnUjrposw1DSlI5zdaXWsUB8C/nivtsDKClBp27ZtNAVaAbC2nQJjSmEKqC2yfmN8ppEySbZs2eI6\n7FIliA+UVSmii+oUBBBAIFMCFR4U62CnTpp8e2AFwevWrXNpcgqAfRDctWtXguBMbfUcnY+GyvLp\n1jp50rAa6iBNQbLvuEs/hJwwZWcDKsBQLV18ALxgwQL3gT79WUGvT3/W1XsyNLKzPZhryQIbNmyI\nSb/WhRqffq1sE12s8bWNPlimJ9ySTTP1qtr9BgNg1QgrLV7tx9WvhLaLv5ESnyn1cM7Hd8roa5MV\nLC9atMidDypD0AfJZAyGc/uzVgiUp0C5B8UaPkE/kGoTrJs6ztCPpdoM+SBY9wqCKYUtoGE1dGLl\nbzrRUg2kfgQVJOum7IEaNWoUNlQp1l77YaL0Z3WOpgwMtfUN1v4qCNY+SkEglwWUfq127cF2yvpf\nF9hU1HZRAbIPyPS/vutkHZV+qypoUaDiL2iqFli1fTJVz+LeWvcapouLaKW35p0/Cag5he/ESxdx\n1dmqziOVNaJzgmCgTLMdvjUIIJCqQNaDYv1gKqjx6dD6wVQHKy1btozWAisIpr1IqpuscKdTLaav\nfdC9rhYrIFZKlW+TrP9Jm4z9jqjtXnztr2rV1FRBVonSn1VDT0EgLAIKioPp1/r+q/drZUfUq1cv\nYfo1F9sSb30dhxUA66bfcwXEyvhSEyefxq4AWBccZEtBINsCSs/XPq3vom5qm+zHqta5pYJknWfq\n/EDfy2rVqmV7kZg/AgjkoUDGg2KltOnH0gfBCl4UGOsKva8J1oGpQ4cOecjFIueSgNJ6/cmZvmfq\n5Vip1bpS7INk/RgWUoCnE9b4AHj+/PlusylNUbW/8enPdGyWS99qlqW8BPRbpRNpX6us/5V+ree1\nT2g/8cGdTqR1U+BXSEUdIfnOsHwQrAsM6udBPjLxNcGqcacgkCsC6pDVB8k+UNZzutilDj19bbLO\nR+nILVe2GsuBQMUKlDkoVsqKUqB9m2AFJ7pqrINMMAjmoFOxG7oQPv27775zQbK+g7ophU8nbwqS\nlWqtsZLVPlnt2vK9KP1ZJ/M+AA7+6GvddIKq9lY6cdW90p9btGiR76vN8iOQVQGlX6sG2QfK/l4d\nfan4TqF8MKj7jh07hiL9WrXmuijgLzSqFlidY+l5ZXb54Ff3vXr1IiMnq99EZp5pAX2PVXus30r/\nu6kLYdrn9f0OBsnq4LOQLqZn2pr5IZCvAmkHxbpyrCBY7YF101VkpWGq5ldX3HwgrJphCgIVKbB4\n8eKYdGu1NVQNkH7wFCTrpiA511P8NEyJ/xHXvX7UdbKu/U5XvYPpzwp+9TgMgX9Ffnf4bASCAmrD\nGJ9+reOJTrTVA65PG1aQrJv2w1zvEHD58uXR46MCYI0AoD4F1KRCQa8P/FWrpqCBgkDYBFSp8/nn\nn0drlPX7qn1d5wnaB4KBMp29hm3rsz4IFBVIGhRr3FH1CO3ToT/55BM3FIvaaagGToGwbvxoFsXl\nmdwS0I+drwVRTbKuGqvTF530+XRrjZncoEGDCltw1W7HB8B6TkU956rmVzeddOum/ZD05wrbXHxw\nAQvohDpR+rX6zPDpxfHp140aNaoQMV1AUztLHfd8GvSsWbPcsqimO1gLrOMLw+BVyGbiQ3NAQM2w\n/MVnXYBWtoQysxo2bOgqfXygrAogPUdBAIHwCBQJitX+d8yYMdEgWAcFpZd06dIlWgusIJieaMPz\nJSjUNVHbONWO6CRRJ4szZsxwaZCqIfFB8sCBA7OWJqigXBec/A+w7tXmSUUnqj79WcGv/ufCU6F+\nU1nvfBFQhz/B9GsfNPv0azUj8oGy7pWtko0Tax1H3nrrrWgArIvZCtaVFeNrs30gXFGBer5sU5az\nsAV8UyWdC+um32nfT4d6U/dBsvZlPaYggED+ChQJinU1WT+aCoL9zq4rYowlmL8bmSVPTUDphD5I\nVjqhgmQFzPr+Z6OceeaZ9tRTT8XU/ir4VfqzhpagIIBAOAS+//77aPq1D5SVfv3MM8/YiSeemPGV\nHDVqlJ188snu2OJTu5URo991hp/KODczLDABXeTyF7N9sHzYYYfZ6NGjC0yC1UUgXAJV41fH/2A+\n8MADDJMUj8PjUAsoPfmoo45yN3XapfbG2S4HHnigDR8+PNsfw/wRQKACBdTJnW6HHHKIWwq1RS6P\n3ppfe+21ClxrPhqBcAqokkhBsG4qF198sevjI5xry1ohUDgClQtnVVlTBHJLwF+Ayq2lYmkQQCDf\nBTi25PsWZPkRQAABBMpboEhNcXkvQKqft27dOvvggw9cr7t//OMfU31bStP5Tkj23nvvItO/+eab\n1r9//4TtSjVOrnrgVm+daoOaKMVcbbTVXlW9Bffu3du1J1PnTr68/vrrduSRR/qHpb6fOXOmvfvu\nu6aUPLUVU9sxdcCkNrHlUdSG7b///a8tWrTI1YaoljVRB1Bq2zZu3DjXkYtqSZWqT8kfAX2/1Ftn\nsKj2S0O5aNsHizria9WqlXtK+4lvL12rVq1Sfy/12eoFVPMIlpL202T7oJ9PKvuznzaVe3Xspnbj\naoaSqKTyeSVNow5g1B60rD39q82cahSVDqielHUc1H76+9//PuE+nGhdyvpcKscPjXzw4osvmkzU\n5v7YY48t8j0o63Lw/ooVYP9uGt0AYdq/NWKJzk+aNWtmxxxzTML+Mdi/o5uefxBAoIIEfo7OKmgB\nUv3YV1991a644oqMt9nQEBT//ve/i3SQ8M4779igQYPs/PPPN51Ux5f77rvPLrvsMpdiqxO0U045\nxbVHDU6ndieHHnqoCxbUvuuNN96wc845x3Vc5qfTj4TWS4F5aYvatFx++eV29tlnuyDzuuuuswsu\nuMD1mljaeabzPg0ZNHjwYNcT6/Tp001tZU844YQis9BynXXWWab2bnfccYcdd9xxdv/99xeZjidy\nV0ApoAqA//CHP7iUMbWB1gUYDV+hzkf0/CWXXOLaMgY7BtMwWP/5z3/szjvvdJ2GlWYN1XHQihUr\nYgKhZPtpKvugliWV/TnVZVbb9Jtuusl00Uf7fKKSyuclm0Ztz++991530S3RZ6T63EUXXeQuUv3m\nN7+xyZMn2xlnnGF33XWX65k91XmUZbpUjh+6uKALjw8++KA9/PDD9uc//9mOOOIIN3xKWT6b9+aO\nAPt37DlEWPZvHcf026+gV/uvLhLquB0s7N9BDf5HAIGKEsiboPikk06y3XbbLaNOS5YscSf2w4YN\ni+nYSO1J1YughrtJVFTrdeutt9rVV1/tplEN8LnnnusCaI2Nq6Ieu3WSqR82BcyNGzd2wa86b9J7\nfVGtjNqxXnnllf6ptO/vvvtuN/auhtEYMmRIkR+ctGeY5A3PPvtszBQvv/yyu1ihgEcdR6l9jTps\n0wm2L6qJUg25aqNU4z9y5Eg39NFtt90W7cnRT8t97grUrl3bfY8VDOs77ouyJRRcde7c2Q3ZVq1a\ntZgOfdRxmGo0r732Wmvbtq1/W8r3OplSTbR6+PQl2X6a6j6Yyv7sPzOVew3poYtCiS6m6f2pfF4q\n02h//+tf/+oCel2oKE1RbZQCd7nqgseIESPc8ao080rlPbpgoHULllSOHzfccIM9/vjj7r3q/E7H\nOV2Euf3224Oz4v88FWD/LnoOEYb9W/uojvfK5Ln55pvd/qvfAl3YChb276AG/yOAQEUJ5E1QLCAF\nVZlsK6UDsWoblDIYLDp51624k3dd+dQwObvuumv0bar11LiVSiFWUcq0gsJTTz01Oo3SidXT6GOP\nPeam9S/ohFTDeMSfLPrXk92PHz8+Zh38+mTSyi+D0qCCQb1SLw866KCYYUV8LXGwB+UpU6bYVVdd\n5dIxtVxKr1btsoYwUQBNyS8BXUhSefrpp2MWXMFKoueVCfHFF1+4pggxb0jhgbIPFBD5z/RvSbaf\nproPprI/+89M5V69/eriQHEllc9LZRrNX8cUXZAr7UU1jT+vedSpU8ctrvZN1fyrZPr4oX1dKdm6\naOBLKscPfW90fNX4uSrqEO/SSy91y6c0b0p+C7B//7T94s8h9Gy+799btmxxv/P+G6rjjM65/DFG\nz7N/ex3uEUCgogXyKigOYulk6B//+IdrCxd8XumV99xzj2kM2pKKaiyVwnP00UeXNFmR1zR/Dduj\nGuBgUU1Z+/btTbUeKj5tMn7cOj3esGGDa18TfL/Sqv/+97/H1L4FX0/0v9rWPffcc25geaUfKcVc\nN//Z8e9R+tJLL73kUlh9+9/4aTSWpdr+/Otf/3KpmapN90UB8XnnnWdq362aXqW7Va9e3TT2ZrCo\n1krtTINGqjXXD3yw+J5YGzRoEHya//NAQBc09J1//vnnY1L/NeSLirIJFAT5ouBLaXPB74Da07/y\nyit+kmLvb7nlFtd+NN0gze8HJe2Dqe7PxS5cmi+k8nmpTBP82AMOOMClJqbb0/Dbb7/t2g7rYqM/\nduheF+gSlbIcP1Rr/tvf/tZliUyaNMkdP9TmOpXjhy5Oqv1wsDRv3tyl7HPsCKrk5//s3z9tt/hz\nCL8183n/jr84qOydefPmuQt5fv3Yv70E9wggUNECeRcU6+RKbWeVMqwTOLWdDXa8pTQdpeQmO9lW\nW1aN2xiszUxlYygdSMNp6KQsvqijLR3w9frcuXPdy/HTqZZDJf7EU20uNX6lTlRTLepsyF9x1Xz9\nsB+6jy/q6Eu11ErJUptBdWyj4QSCqdAKdlXrqx/nCy+80AU1eo8CZRWdgCrQ1YmsUst9J0r+s7Te\nuiigkxy1qQwWv97B55RqrlptdQxGyS8B7TdK+1eb3eB3VkGyglAFPMHMB33Pjj/++JiVVCq1sgdK\nKqpF0kUaZVOkW1LZB1Pdn9P97OKmT+Xz/DEk/tiheQaPMcHP0PFDx8R0iuavgLhGjRoxx45Ex8Sy\nHj903PbbUMcnHT/0ucFS3PFDnYkluiCi44efZ3A+/J8/AuzfsdsqzPu3b66m8y4dr3xh//YS3COA\nQEUL5F1Q/P3337sT6UceecTGjBljhx9+uL3wwgvRmlf1bPjPf/7TfvnLX5Zoq9rMRMFjiW+KvKgg\nQEWBY3xRkKp0oZUrV7qaap1wKoAMFt9rroKGYNEJqgJEpRKlWvQD6ttZq7ZW7ZN1i+/RWSmKau+p\ntCUFMgpQ1YGY7NRhjXquVpGnlku1farRUydharepExcVpYzrvTqZVa2fHvui1HGlcP7pT3+yWbNm\nuc9KlhatAFoXNHxg7+fFfX4I6IKJik+h1oUWXezxgW7880orDhZdmHrooYeCTxX5XxeKVEqzrypb\nJNk+mOr+XGTBSvlEKp/ng/lkx5jgInTr1s11gKZ9PdWiztF0DNG+7o8duo8PxjNx/NCxzR+rVHuk\n40ewljfd44dS47XcyrCh5K8A+3fstgueQwRfyff9+/3337fTTjvN9R6vjk3VIWNJhf27JB1eQwCB\nbAnkXVCsHwefkqPag6FDhzob35uhOgJS25xEtR0eUSd5qrGJP/nzr5d0r/mrJKq5ULqogmCd7Pk2\nevHz8imliT5bJ44KKDNdlLqq9Or4GlkNNaUg3reD1gUF1bSrR2zVDuuHSUXD8ARLonWXi2qIVaN0\nzTXXuHROdURWXNHnyEC1/pT8FNh///1dsKoaYV1MUWq+miMo3U/tfVWDrCBQFz90MSa+6PsYrDGI\nf12P/f6g72S6JZV9MNX9Od3PLm76VD7Pr2ui/Sx4jAl+hi4s6TXVMme65NrxQ+uppjO6oFLcNs60\nAfPLjgD7d6xrWPdv/SboHE39n6iTRg2t5s/ZYgXMHcfYv+NVeIwAAuUhkHdBcTyKTqx18hhf8xo/\nXfCxhgBR25ZENTHB6RL937p1a/e0ajbii9rcderUydVgKLVYnxHfA61SlFV828vgPHTCHGzDG3yt\nLP/7muD4E0iNI6viT0xUq6YTcg2XpBNOv4xKawyWRCfr/nXNQ7U3Gnt52rRpRdZf0ynIVi1isMMu\n/37u80dA21op0TqRU3q0brogpefVW7w611Kbd93iU6dTXUu1r1WJT7VN5f2p7IOp7s+pfF4q06Ty\neb6Dv2THmODn+X3b934ffK2s/+fa8UNNM9S5WLCjw7KuI++vGAH271j34DlE8JWw7N/KaNNwbyrq\nfDNRYf9OpMJzCCBQHgJ5HxSrhkQ/GOrkKtWiGkrVyvoANdX3aTqdaCvFScPDxBelTXft2tU97QPK\n+JNUfxLgpwvOQ+mn8e10g6+X9v+GDRu6t8b/CKk2T22MfRqjOu5STZ/Sr3/3u9+52r5En1lSUOyn\n15VhzTc+mNE6Kr1dV4LjX/Pv5T5/BHxP47qIou2p75SKgmJ9T3x6dDr7Z3DtfVZIogAxOF2i/1PZ\nB1PdnxPNvzTPpfJ5qUwT/9nar1TCfvx48sknXbMNNf2g5L8A+3fsNgyeQwRfCdP+rXMfnYMlypZj\n/w5udf5HAIHyFsj7oFi1kbq6evDBB6dlpwOzb9+Xzht14q9hZz799NOYnqLXrFnjakB/8YtfuNlp\nGqVSB8fq1QsaF1TpQ/FjIKtWWcvToUOHdBYnpWl9G2OfDu3fpLbCqs1TxxcqGmdY6dRqS6yiZYov\nCnRUM5isaDxmdeQVLOp1W2MVqoMlXZTwRbX88R2P+de4z20BNWdQx1oafzZYG6zgWBdGtG0HDRpU\n6pXwPUdr/umWVPbBVPfndD+7uOlT+bxUpomfv8+Uie8JPn660jzO1PHDX0wr7fFDvZUra8W3Zffr\nonGLKfkpwP79829s/DlEcIuGaf/WsXz16tV24IEHBlfR2L9jOHiAAAIVIJB3QbFqd4PBmnqZ1km3\nxr1VUUdVahv74Ycflsip1GHfgVRxE/qrs/Ep0Erd02vBIVDUbtJ3ZKX56SromWeeaepUwqcfq52u\nhjFS2rBSTINFadM6WQwGkhp2Suvy1FNPBSeN+d8vm+8hWi/qIoGKf01BuE4kNZSUOs7yRUOjdOzY\nMTqWsmrj1DmR2vqoRvuJJ55wk6pzM2+h9dI0apOt9ouaTsM3BS11tVsXK9S22BcF2+opvHHjxq7t\nqcZq1k2pVOpsKxsn8/6zuc+ugIZnUiAXP7yZD14StSfWEqlDLo1bW1JRiqyaOahjvOKK/27677uf\nLtV9MJX9WfNMZX/0n13cMun1VD4vlWn8Z+leY/+qj4Bgk5BUlldm2jeDx1R//PDHlEwdP3zNkDJW\ndExUJ0v6jFSOH+qoRx2z6SKeP3YMHz7cde5X0ncjaMT/uSfA/v1adKPEn0NEX4j8k2j/VieZZ511\nVonDT1b0/q3+JtSsRhfEfVEfJuqUU03NfGH/9hLcI4BARQpUrcgPT/ez1SmTOnMaNmyY9e7d29VC\nKchSOq4v+vH4/PPPXcCmHk6LKxo3V+1aFdjF184q6Bs9erS7cqn36zNVC+avbKrN36hRo1zQpyBc\nPbgqnfqGG26I+bi//OUv0R5SdcKqq73qBTpRWzj9IKrnV19rqxlp2bQucyPDO5188sluXsEPULqz\n2v+qPPPMM6ZaO/Uo69vqqjMrLbMuGKidjtos60f017/+tQvANdSN0pV8D9kag1jrI5sBAwa4Gl2d\nWN97772u12mlxCrw0Xt0IeKSSy5xy6UrvFoO9S6rIZ20TR599NGYTnA0rX4gdYsvWp5q1arFP83j\nPBHQhRsFJvG9iA8cONDVFrds2TLhmui7pQBMF4PUk3CiotR/jW+r75jmFyzJ9lNNm8o+mOr+nGx/\n9Mum/UongiraB9Xrtsbk9kFhKp+XyjT+89RxoD4nfkimZMurY4ZORnUxTBkcumilgFXzUtE+reOV\nsjoydfxQ52w6KdZFtdtvv90F48mOH8qu0bFJJ9YaXz5YdDEmPgMm+Dr/57YA+/c17je3uHMIbb3i\n9u8JEya4/Uijb2j/iC+5sH9rf9V5kbLDdPFUvwV9+/a1Pn36RBeX/TtKwT8IIFDBApUiV+xjelFS\nEKaTONUWxqf4VvCyRj9etQuqofSd1kRf+N8/SkOKP0GPn0aPR44c6U7m44PZRNMW95yWQ59VUlCn\nk35N53uVjZ+XNoECi+uuu84FxsHXlWqk9rc6Kc1EUdqSOs6RXaL2h6oxkq/vJVfLppokHzhrGTQP\n1XQHe/hWzZim8UNOZWJZK3IeqlHXxQSlZgZ/wDO5TLpAoQsbqvHK96Lvty6GxBdlDWgcykRFtRhK\nqQ1+txJNp++japv/85//lGpoJs0z2T7oPzfZ/pzp/THZ52m5kk2jbBmdGD/44IN+NaL3mV7esh4/\ndDxR5kn8hZKwHT+iG6CYf+SgmjIFLj6jophJS/W05quLmLqgmuuF/bvkc4ji9m8dPzWMoi4MZaqN\nfTb2b51T6DikwN83ocj172S6y3fxxRe7LBZVplAQQCB/BWJzePNkPZQiWFxArFVIJSDWdKeeeqqp\nJ2pdqSxtUSBQUkCs+aoWrLiAWK8rKL/wwguLBMR6TbVpapuZqaJaH9VIJwqI9RkKdn1ArMeJghbN\nIxgQazp1qhWWgFjrQ0lPIFFArDkUFxDrNZ3MJQuINZ32d2Vr6OJQMM1Xr6Vaku2Dfj7J9udM74/J\nPk/LVdI06jleAbFSkBOVTC9vWY8fOp7EB8Rabo4fibZeYTzH/l38OURJ+7dqkJXZoayuTJVs7N86\np9D5T1gD4kzZMx8EEKh4gbwMijPFpoO1UvhGjBhhn332WaZmm9Z87rvvPpfynKjdpa/xTvRaWh/C\nxAjkuYBq65Wyr4yJ0gbGZSXItf1RTUXUtOG2226LaUvs1zPXltcvF/cIxAuwf8eL/NSOuKT9W+cs\nl19+uRtBoui7eQYBBBBAIF2BYtsUK300V9On013JkqZXbZVqoYIdUJU0faZfU1vlRDUn+hzVeJfU\nLjrTy8L8fhYoj++DUiiVXqwUajoa+9m+uP/UPl691aqzpVRqmIubT2mfz7X9UQZq91tcDUyuLW9p\n3cP2PjVHUe/82Sw6tqhoTPhgh0bZ/Myyzpv9O1Yw2f6dyQyy2E/mUToCyjbU73iqGYrpzJtpEUCg\nfAWKBMVKZdK4v+rMqkmTJtFOEdQ5goYxKu4ErHwXO/Of5sdXzfycS55jcQFxye/i1UwLqJ21OuxR\nG2LdqxMnpZEHU8kz/ZnavzS0l04GlbamXn532WUXd6//tb9VRPCX6fXM5Px8Z1WZnGe+zguL3N9y\naqOpXra/+uqr6E0BsQJjXZDVb202ik7QdexQaq2aMGhYLXXiqHt1iOjHps/GZ5dlnnynf9bD4meL\nXPlPF2TVqaRq6dU0RffffvutW7xf/epXubKYLAcCCJRSoEhHW5qPdny1VXnvf70Fq4dSpeKpbZvS\nnPyte/fuoQ2SS+nJ2/JAQLUoOjFV8OtvGiNa7aTVudbBBx/sbvvss0/WU9PU+7I6t1Mvnbppv1Mb\nd3WiUrVqVdejuALlnj17RoPmXD2hzYNNzyIikDUBZZcEg1/9rywQFf12KiDdc8893b3+1++n9vFs\nFbU51Ym7LvTppmEK/fJopAIti7916dKl2B7gs7V8zBeBXBfQiCG6cK2bfp8VBKsXfF100vmBKot0\nU6/66kiMggAC+S2QMCiOXyX13KqDwtixY12gPH78eDdurYZT0Hi/PkhW7Zba6VIQyCUBBcGqrfEB\nsMZrVo++qp1VCpqCYA0lpQ7IihsaqDzXR/ubrkb7QNn/IKsHTxUN16N9LXjTcxQEEMi+gGp5VTuk\nsdiDQbAfm1rNjoLBrwLgXNk/1fO3hvLxgbKC5nXr1rmMGB+0a9k1AkVJnUNmX5lPQKB8BdQLuvZn\nHwTrXhe6lB2pC1hqyuaDYF2k5ly3fLcPn4ZAeQikFBTHL4g6utEVMwXJ/qY2FQoyFCTrpgOITtpz\nIciIX34eh1tA30/9uPlU6EmTJrlexnURR+NFKwDWTSeB+fT91A+0D5R1rx9tn7rl06+DgbLSr5P1\njB7ubwJrh0DZBJQhFZ/+PH369OgwdTo5DgbACia1L+ZL0QU4jU3vg2TVJvv2zu3bt4/WJGsdlbFC\nc4582bIsZzIBZU0oM8tfdFaGlrIkVePrz2FV4aNAmPbCyTR5HYFwCJQqKI5fddXE6YfV1yTrXrVa\nSkft3bu3O6jo4LLrrrtmNV0sfrl4XBgCOrFTrU0wCFZbPqUsKgj2NcFqSxe2q7s6aY9Pv5aF0q8V\nECtNMj79Op9O2gvjG8xa5oLAokWLYmp+dWFt/vz5btF8u9xgAKz9KpvpzxVloo6D/LFUQbIya3TR\nWwGxfsNl4G8V1RdHRdnwufkp4Jsp+QBYwbDOUbX/6rwgWAuspgQUBBAoTIGMBMXxdAqSdUKhNsm+\nJlltM9RpkYJkn26tgxE1WfF6PE4moKu5ugjj06FVE6wfPV3h9bXACoR1AhfWjuFKMvKdgfhaZZ0I\nKLPDp1+rp+tgjbL+5+S2JFFeC5OA9o9E6c8KBlXUW3Mw+FVGSaH3Dq/a8WBtsmrVdDFSKdbqwMt7\n6Tc9m50Thul7yLpkR0CZYtq/g7XA+v7qvFS/c8EAWE2m1LksBQEEEJBAVoLiRLRKQfMBsoLlJUuW\nuB9PHZSUqqIUFaWekZ6VSK+wn1MbPtWG+tqLyZMn2/r16029c/paYAXDCu4KMQhO9duhcW19oOzT\nr2fPnu3ers674gNlXTHnolWqukyXiwLKpFD7fF2kVQaFfod0gqxOqPRbo++8D+gU/OpGJkXyLanj\nr47DPlDW/eLFi10mjtpf+ppk3auNNcfl5KZMUToB9Q+i3zMFwbr4q4vAukheq1Ytd8HGB8G6b926\ndek+hHchgEBBCJRbUByvqXZLPkh+9913TalrumKnq86+HYdOUDRsBaWwBHTCqh83HwSrMxj1+Niq\nVauYIFgnX5SyCShokLUPlnVioeBB28CnXytw8L1fy5ygoWzmvDs7AgrKFPwGb/PmzXMfpvRnXXQN\nBsBKf+aiT+a2hVLNfZCstGsFJ2rGoeOFd/f36t+BgkC6ArpArotc+m7529y5c91sdBHXB8CqZFHW\nQhibN6RrxvQIIJC6QIUFxfGLqHQXBcmqRdZNnSAoINaPqE+3VsBMqku8XP4/Vq+PCsqUDq2TKv3Y\n6TmlOqkmWDfVBKvjKEr2BZReqho1Hyhreyhw1hV5FXXAE1+rzBX47G8XPuEnAX0/leGgizfBAFjt\nXlU6duwYDcJ87a++s5TyFVAAo2NIMFCeM2eOW4jOnTtHh6jSb/zOO+9MAFO+mycvPk0Xunzwq3s1\nm9KFFmU2+QxD3yO0+hChIIAAAmURyJmgOH4ldPVPwbEPlPVYV/X1A+oPhkq9VooMJb8EFPCqRlIn\nS+rERf+rZlInrj4A1r3S7ii5I6ALVT5Q1r1OUvxJrmp+4gNlXbnnSn3ubL98XBKlQSZKf/YdySVK\nf2Yc79zd0hoPXrXIPlBWfxDKVtHvuGr2dBFDv/G6AK7mMZTCEVA2mNqq+yBY5wUaQkydYypTKVgL\nrIwlUvIL57vBmiJQXgI5GxTHAyg1K5hurZoCnXArJc7XJGsw9Tp16sS/lccVLKD2Z0qBVk3wK6+8\n4rIAVNujGp0BAwZEO8fSY0p+CaiX7/j0a9Xe+Tab6v06Pv2a4S3yaxuX19Kqnwl9d3zbX/2vi6Eq\nuugSn/6s7xXpz44nb/8Eh89ToKyAWVkqvlMkHyQrUFZgRKZY3m7qIguuC6o+ANa9trs6b2vRokV0\nPGCd26kShPO6Inw8gQACWRDIm6A4ft01ZmswSJ45c6Ybc1ZXm31NsoJkTsDj5bL/eN26ddFOWBQI\nq5MsHwRru+lE6PDDD7eLLrrIjjzyyNANk5R94dz+BKVNJkq/9umtHTp0KFKrrPbilMIQ0ImvT38O\nBsA+PV/fDwVBPvVZ93qOUhgCqjn2Iwt88MEHppsuvmlMeY0o4ANl1SaTFp8f34lVq1ZFL576QFi9\nvauzO23PYC0wF8fzY5uylAiEUSBvg+L4jaFaBp9qrbRrpdwp7UY/or7jLg0HRSdB8XJlf6yTGKXB\n+RMZtfvRia9qCZUGrZvaBKvdqVKknnnmGXv44Yfd9mrbtq2dddZZdvbZZ7uhUMq+NMwhVwWU7RGf\nfu1rAtURUnz6tdodkn6dq1szteXSBTIdi337X10s0WOlP2vbJkp/phOm1GzDPJWOE4899pg9+eST\n9sMPP7ihHE844QRTD/qqTVZ2ii60NmnSJHoBRRdSlE1Qt27dMNPk/Lrpt18dqfrgV/ezZs1yy62L\nW8EAWNuMEUdyfpOygAgUjEBoguL4LaZxkX1NsoJknZSpDYpSsBQk9+rVi9S7eLQ0HuuERO1/FAjr\nXrW/6s3VB8AKglu2bFniHFW7P3z4cHfyo4sahxxyiJ1zzjl2/PHHkyZXolx4XgzWIOhEWO3IlDar\n2mZ1tKcLK/pe6eKWToApuS2g44B6fFbwq+3o25yrnW+i9GdOiHN7e5bn0uk3YOTIke73QBdW1SfB\nGWecYcOGDbP42sNgvxQ+7VoBs37jdczwWQZcBC+fLajzAV3s0jFcFyzUZEopz6qI8B1h6V6p0RQE\nEEAgVwVCGxTHg6uDj3HjxrlAWUNAKZBTuyVK6QV0gSHYJrhZs2almpl+UF977TV76KGH7NVXX3Up\n76effrqde+657kS6VDPlTXkroIBYAZWvVVZNg060lG5HyX0BpbTGpz/HBzW5vxYsYXkIKLh98cUX\nXSD85ptvulreIUOGuGC4X79+aS2ChnX0HXipNtkP5ZfWTJi41ALq/CpYC6zzA6W8UxBAAIF8ESiY\noDhfNkihL6dqC5Q2p/Rq1SSrh3HVHp922mluGIZC92H9wyOgmtPBgwfbjTfeGJ6VYk0QSEFA7YR1\nnH/66adNPYwfccQRLhA+9thjyRJKwY9JEEAAAQQyL1A587NkjgiUXkAp11dccYVrk6T0d11t/tOf\n/mTqiEmpdHqOggACCCCQXwLqP+Cvf/2rG2/+gAMOcE1vrrnmGtdOWKMSqIaY3qXza5uytAgggECY\nBAiKw7Q1Q7Yu/fv3d7UJixcvtjvvvNO1U1Sb5a5du9rNN99sep6CAAIIIJCbAuqE8ZFHHnF9TWjc\n+XvuuccGDRrkOmFSk4hLL700ad8TublmLBUCCCCAQNgECIrDtkVDuD7qLOXXv/616+FaJ1JHH320\n3X777dauXTs75phjXJs0tUumIIAAAghUrIA6WxszZowNHTrUBbwXXHCBqb+J0aNHm4bk0wVOdYRF\nQQABBBBAIJcECIpzaWuwLEkFNA71XXfdZepUZcSIEW6IJ/VWrQD5z3/+s0u7TjoTJkAAAQQQyKiA\nehzXMVgdrQ0cONC+/fZbu+OOO1xGz6hRo1wNMUOsZZScmSGAAAIIZFCAoDiDmMyq/AQ0XM8pp5zi\naiRmz55t559/vhvTcueddzafdq1hISgIIIAAAtkRWL58ud1999227777ujGnn3rqKTfu/PTp0914\nwr/5zW9MY5BTEEAAAQQQyHUBguJc30IsX1IBDfdy/fXXmzpy0dBOGgtRQbI659JJ2aRJk5LOgwkQ\nQAABBJILaMi0F154wY0nr2PslVde6QLit99+2x2D1Zu6xgqmIIAAAgggkE8CBMX5tLVY1hIFKleu\nbEceeaQpVU9t16699lobP368q8VQ2vX//d//2YoVK0qcBy8igAACCBQVmDx5sv3+97+31q1b24kn\nnmjqREtjy2sYvUcffdQOOeQQq1SpUtE38gwCCCCAAAJ5IEBQnAcbiUVMX6Bp06Z2ySWX2LRp01wa\nX58+feyqq65yJ3Q+7XrHjh3pz5h3IIAAAgUioL4bbr31Vjc0Xu/eve3NN9+0iy++2NUIv/XWW26Y\nvDp16hSIBquJAAIIIBBmAYLiMG9d1s0J9O3b1x588EFXo3HvvffaggULXEcwGiJE42bqMQUBBBBA\nwFznhU8++aQdccQRrgPDW265xQ466CD76KOP7JtvvrG//OUv7nmsEEAAAQQQCJMAQXGYtibrUqKA\najTOPvts++CDD+yrr75yKYAaN1NtkpV2/cwzz9jmzZtLnAcvIoAAAmETUNbMuHHj7JxzznF9Mpx5\n5pmmzgyffvpp13u0LiYq24aCAAIIIIBAWAUIisO6ZVmvEgV22WUXN9bxwoULXRvkKlWquN6s27Rp\nE027LnEGvIgAAgjkuYCGTVLfC507d3a1wZ9++qndcMMNbsg7jSustsMKjikIIIAAAgiEXYCgOOxb\nmPUrUaBatWp2wgkn2CuvvOLayf3hD39wPavuuuuutt9++7mOZNShDAUBBBAIg8CqVatcc5IDDzzQ\nunTpYg888IA7Bn7++ec2ZcoU0zGwWbNmYVhV1gEBBBBAAIGUBQiKU6ZiwrALtG3b1q6++mpT7YmG\nF+nUqZNddNFFbmgnpV1PmDAh7ASsHwIIhFBg27Ztbri6U0891Vq2bOl6kVZWzKuvvmrKlrn99tut\nV69eIVxzVgkBBBBAAIHUBKqmNhlTIVA4AhpWRMOL6LZy5UobOXKkPfzww9avXz/r3r27a3d3xhln\nWPPmzQsHhTVFAIG8E/jiiy/s8ccfd8ewxYsXu2OYhqY7+eSTrUGDBnm3PiwwAggggAAC2RKgpjhb\nssw3FAKNGjWy3/3ud6a2dhqnc8CAAXbjjTeaapXV3k41LaqFoSCAAAK5IPDDDz/YXXfdZXvttZdp\nfPZnn33WzjvvPJs1a5a9//777n8C4lzYUiwDAggggEAuCRAU59LWYFlyWmDvvfc29cKqGpfhw4fb\n8uXLbdCgQdahQweXdj179uycXn4WDgEEwimgXvMV/B5zzDFuLPZrrrnG9txzTxs7dqxrDnL99de7\nzrTCufasFQIIIIAAAmUXICguuyFzKDCBWrVq2dChQ+29996zGTNmmFKpFSSr05pDDz3UNMbnxo0b\nC0yF1UUAgfIW+Pjjj+3CCy90/R4oJXrTpk326KOPujHZ1eSjf//+puYgFAQQQAABBBAoWYCguGQf\nXkWgRAEFwn/7299swYIF9uKLL1q9evVMY3y2bt3addI1derUEt/PiwgggEA6AjrW6Jij/g369u3r\naoMvv/xymz9/vr3xxht2+umnW+3atdOZJdMigAACCCBQ8AIExQX/FQAgEwIa53jw4MFuOCedtF5x\nxRX25ptvuhRGn3b9448/ZuKjmAcCCBSYwLp16+yJJ56www47zDp27Gj/+Mc/7PDDD7dJkybZtGnT\n3PFGvUlTEEAAAQQQQKB0AgTFpXPjXQgUK6AhTxQUT58+3caNG+eGOrnssstc7fGwYcNc2vWOHTuK\nfT8vIIAAAjpGvPvuu3bWWWe5YZTOOeccl4mitsPq1+Bf//qX7bPPPkAhgAACCCCAQAYECIozgMgs\nEChO4MADD3Rt/HQSe+edd7pAWT1Yd+3a1W6++WZbtGhRcW/leQQQKEAB9VOg8dJVI6xh4VQTrGOF\njiHPP/+8HXfccVatWrUClGGVEUAAAQQQyJ4AQXH2bJkzAlGB+vXr269//WubOHGiff755/aLX/zC\nbr/9dmvfvn007Xrr1q3R6fkHAQQKR0Djod9///2233772c477+wupJ166qkuIFaKtIaFa9KkSeGA\nsKYIIIAAAgiUswBBcTmD83EI9OrVy40jqlrikSNHuh5jTzjhBDf2sdKuVVNEQQCBcAvoItjLL79s\nJ510kus9+tJLL3XDJqmzLHWadcstt1iPHj3CjcDaIYAAAgggkCMCBMU5siFYjMITqFGjhg0ZMsR1\nyDVnzhxXk/zUU0+5miKlXT/22GO2fv36woNhjREIsYB6pL/44otNHWNpXOEffvjBjX++ZMkSGzFi\nhA0cONAqV+anOcRfAVYNAQQQQCAHBfjlzcGNwiIVnkCHDh3s+uuvt7lz59rrr7/uOtY5//zzXQ2S\nT7suPBXWGIFwCCjgVY/Ru+++u+uR/qWXXrLf/va3Nnv2bNfx3tlnn+060QrH2rIWCCCAAAII5J9A\n1fxbZJYYgfAKqIboiCOOcLdly5a5YVgefvhhe+CBB1wv1uqBdujQobQvDO9XgDULicDGjRtt9OjR\nLuNDKdF169a1k08+2dUK9+vXLyRryWoggAACCCAQDgFqisOxHVmLEAo0bdrUpVl++eWX9uGHH1qf\nPn3smmuucUM7Ke16zJgxtn379hCuOauEQP4KTJgwwTWFaNWqlZ122mmmoZXUd4Bqi3Vxi4A4f7ct\nS44AAgggEF4BguLwblvWLEQCffv2tQcffNANy6JeahcuXOjaHu60004u7Vod81AQQKBiBNTs4YYb\nbnBDrSno1UUsDauk/fTVV191fQfUrFmzYhaOT0UAAQQQQACBpAIExUmJmACB3BGoU6eO/epXv7IP\nPvjAvv76a9dz7b333mudOnWyI4880kaNGmWbN2/OnQVmSRAIqcCaNWvskUceMY07rotTd999tw0a\nNMimTJnihl1Tb9ItW7YM6dqzWggggAACCIRLgKA4XNuTtSkgge7du9ttt93maqMUDFepUsU0tql6\ntVXvtkq7piCAQOYE1FxBzRaGDRvmAt4LLrjAte9/8cUX7bvvvrM777zTdaSVuU9kTggggAACCCBQ\nHgIExeWhzGcgkEWBatWqmcY5fuWVV2zevHn2xz/+0XXwo/GQfdq1arUoCCBQOgFlZVx55ZXWvn17\n12xh5syZdvvtt7vmDM8884wNHjzYqlal38rS6fIuBBBAAAEEKl6AoLjitwFLgEDGBFRLfNVVV9ms\nWbPs7bffts6dO9vvf/97N7SThn1R2jUFAQSSCyxfvtzuuece23fffa1Hjx6us6wzzzzTvvnmG/vo\no49MtcSNGjVKPiOmQAABBBBAAIGcF+DSds5vIhYQgfQFKlWqZIcccoi7rVy50p3Qa2inAw44wJR2\nrQBZJ/jNmzdPf+a8I22BDRs22LZt22Lep8dq/7127dqY52vUqGGq/aeUv8CWLVtcx1iPPfaYy7zQ\ndjjxxBPtlltusYMPPtg0ZBoFAQQQQAABBMInUCkyXMSO8K0Wa4QAAokE1AmQguMnn3zS1q1b5zoG\n0tjH6qRLbZIp2RFQSvtdd92V0szfeustO/TQQ1OalokyI/DJJ5+48YSfeuopUw2xOs/SRSMFxOrc\njoIAAggggAAC4RYgKA739mXtEEgooJrLZ5991gXIY8eOdWMfn3XWWa4GWT3pUjIrMHHiRDfOdLK5\nNmnSxJYuXUqNZDKoDLy+aNEiGzFihD3++OM2bdo069atm51xxhmuEy21HaYggAACCCCAQOEIEBQX\nzrZmTRFIKPDtt9+64Fgpo4sXL3Zpoqo9Vi0ZY6smJCvVkwq0FixYUOx7lar729/+1vVgXOxEvFAm\nAV0Mev75510grF6kGzRo4MYQVq2wOqWjIIAAAggggEBhCtBAqjC3O2uNQFRAnXH97W9/s/nz57te\nqxUoqNa4VatW9rvf/c4+/fTT6LSp/qNesGmZEaulwKuktsJqz6ohtSjFC6xfv774F4t5Rd/D8ePH\n27nnnuuGUfLb4b///a+7CHTfffcREBdjx9MIIIAAAggUigA1xYWypVlPBNIQ+P77710by+HDh9v0\n6dPd2KsKKk477TRr2LBh0jkddthh1rhxY3viiSdMHUdRzDSsj3oxLq60a9fOXZgo7vVCfn7Tpk12\n3nnnWdeuXe2aa65JiWL27NmuRljp0XPmzLE99tjDtRPWd5gO5lIiZCIEEEAAAQQKRoCguGA2NSuK\nQOkE3n//fXvooYds1KhRtn37dpdWrfRq9carXq7ji2qJO3Xq5J7eZ599XC++zZo1i5+sIB8rKFZw\nHF9Ug3zFFVfYDTfcEP9SwT/WBZpBgwbZ5MmT3TjB+n4VV1avXm1PP/20u6Cj723Lli3t9NNPd8Gw\nxu2mIIAAAggggAACiQRIn06kwnMIIBAV0DBOjz76qEs1VQ/KM2fOdEM9qdZOadfqsChYHnnkEdeT\ntdJWlXq99957u7Fdg9MU6v9KS69atehIeEqdVg0mJVZA3x/V8E6dOtW9oBT/+LG2NbTV66+/7lLP\nFQRfdNFFpvG6X3nlFVu4cKHdfvvtRkAc68ojBBBAAAEEEIgVoKY41oNHCCCQgsAXX3zhOudS770/\n/vijG9JJ6dVHH320dezY0QXQfjYKAtVh1wsvvFDwQw0pqOvQoYOnid6rBlk9IFN+FlDv6Krl3bp1\na3SMZ9Wo68LCAw88YF9++aWrER45cqT7vvXr18/1Hj1kyBDXgdbPc+I/BBBAAAEEEECgZAGC4pJ9\neBUBBEoQUFvPF1980aVXv/322y7gU/vN+FK5cmWXav3vf//blHpdyEW9HGuIJt8RmS4a3HTTTXb5\n5ZcXMkt03eWiNPJrr702+lzwH11g6d69u6s91gWYYcOGuWC4S5cuwcn4HwEEEEAAAQQQSFmAoDhl\nKiZEAIGSBNTWUwHKhx9+6Gr3iptWwd8tt9ySsD1yce8J0/Pq7Vgpvkr79UV2jI1rpt6l9R3SsEn+\nooE38vdqx96/f3+7/vrr3X2idu1+Wu4RQAABBBBAAIFUBAiKU1FiGgQQSCqwfPly17GR0l1LKqo1\nPuaYY+zJJ5+0WrVqlTRpKF9btmyZtWjRwnVapoBu3333tY8++iiU65rOSqn9r9Lv1RFZSd+hKlWq\nuDT8N954I53ZMy0CCCCAAAIIIFCsAB1tFUvDCwggkI6Ahl8qrnYvOB/1YP3yyy/b/vvvb0uWLAm+\nVBD/N23a1AV1ujigm8bNLfTy8ccfuw61kgXEclIN+5gxYwryu1Po3xPWHwEEEEAAgWwJEBRnS5b5\nIlBgAkoLDqYEl7T6qglUR0l77bWXuy9p2jC+phRhXRzQRYSTTjopjKuY8jqpszb1cL5y5coSa4iD\nM9TFBHWwRUEAAQQQQAABBDIhQPp0JhSZBwIFLqCOo/r06ZNUwbf/1L0CQt2UDqtaYw2nUyhFQzCN\nHj3aNH6z2scWYtG2Vy/m06dPd6uvQFffC30ffPHfkfh7vd6zZ8+CvKDibbhHAAEEEEAAgcwJEBRn\nzpI5IVCwAps3b7ZVq1bZhg0b3G3jxo3Re/2/evVq01A59Zp2tOo169uO7dsiAXHkFqkt3R65jzyw\nBs07W9XqtQvGcOmcSVa7QUur27hdwaxzcEXXr/reNqxZ+lOHa5Uq2/rV31vbVs3svHPPcWM5a/gl\n9cxd0v2RRx6ZcNzn4OfwPwIIIIAAAgggkEyAoDiZEK8jgECZBRQ016hRww4//wnrsPvRZZ5fGGaw\n8Ot3rEWnfa1azbphWJ0yr8O4EX+wdnWW2ltj6ECrzJjMAAEEEEAAAQTSEqia1tRMjAACCCCQEYG2\nuxySkfkwEwQQQAABBBBAAIGyCdDRVtn8eDcCCCCAAAIIIIAAAggggEAeCxAU5/HGY9ERQAABBBBA\nAAEEEEAAAQTKJkBQXDY/3o0AAggggAACCCCAAAIIIJDHAgTFebzxWHQEEEAAAQQQQAABBBBAAIGy\nCRAUl82PdyOAAAIIIIAAAggggAACCOSxAEFxHm88Fh0BBBBAAAEEEEAAAQQQQKBsAgTFZfPj3Qgg\ngAACCCCAAAIIIIAAAnksQFCcxxuPRUcAAQQQQAABBBBAAAEEECibAEFx2fx4NwIIIIAAAggggAAC\nCCCAQB4LEBTn8cZj0RFAAAEEEEAAAQQQQAABBMomQFBcNj/ejQACCCCAAAIIIIAAAgggkMcCBMV5\nvPFYdAQQQAABBBBAAAEEEEAAgbIJEBSXzY93I4AAAggggAACCCCAAAII5LEAQXEebzwWHQEEEEAA\nAQQQQAABBBBAoGwCVcv2dt6NAAIIZF5g4dfv2Ka1K2Nm3LhNT2vUunvMc8EHX7x9r1WpVsN69D8n\n+HSF/Z9oHRItTLtdD7fqteoneqlcn8s1v3JdeT4MAQQQQAABBApagJrigt78rDwCuSnQpO1utnTu\nZHv30fPtvcd+Y7UaNLf6zXcqcWGnfzjCZn783xKnKc8Xg+vw8fP/z7Zt3WTbd2xzty2b1toP8z+1\nsSN+Z2tXfleei1XsZ+WaX7ELygsIIIAAAggggECGBagpzjAos0MAgbIL1KrX1Lr2GWLT3nvAmrTt\nZa27HZh0psdeNsYqVcqd63zBdajfrJN12++0IutQqXIV2751c5Hns/3EzI//E/E9JeZjcs0vZuF4\ngAACCCCAAAIIZFEgd84gs7iSzBoBBPJPoFqNum6hq9aondLCV6tRx6pWr5XStOU1kV+H4j6v58Hn\nW72mHYp7OSvPL5ox3ia9eGOReeeiX5GF5AkEEEAAAQQQQCALAtQUZwGVWSKAQPkLbFjzg83/4g3b\nef+h7sO3b9tqCgBVe9xip942L/Laqu9nWue9T7AGLbrELOC6Hxfbwq/etnU/LopM28fadD8o5vWt\nmzfY4pkf2LIFn0XmVyVSy3qy1WnYOjrN97MnRtKjN1vDlt0iKdz/sVZd+1nzjntHX0/0z6yJo6zL\nvidFlut1W/PDHKsauQjQvd8w27xxjc2KpIFv37YlkjbeMrK8x7u3p7M+WzautbmfvxpZ31nWuHUP\na9vjENduWR5j7o/4VKpkX49/1Go3bGkdeh3p5h/v55d52fzPbMm3H5oMmrbb3drsMiDy9kr+ZZf+\nPXfqS9bzoPNt5ZLpNi/yuXUbtbUuvU+ySpW57hqF4h8EEEAAAQQQyFkBzlhydtOwYAggkIrA9u3b\nbMaHT9rT1+5jk0f/VAO6af2Pri3y63f/0mZ89KSNH/lHWzp7kn09bri9/M9jbOO6nzvxUqA45dW/\nW5N2u0WC2p1tzAPD7IP/XBb9aAWYT1/XO9KJV03bfeAfbcf2rfbSHUe5IHHN8gX2xr1D3ON5n71i\n7z91iU155Vb77M27ou9P9M+WTevs09fvcC8pKP1mwhORZbjVPa5es551iaSOf/LK323au/e759JZ\nnx+XzLB3hp9j6phsr6MvjwTHr9h/r93LVi+bazVqNYw838OqVK3u5EIK0AAAQABJREFULgzUbdjG\nEvn5Zf7o2avtszF3WfvIMrbtcahNfP5ae/WuY23j2hVuEgX0L9wywD565qpIqvu/7ctIZ2dL50y2\nsY9f6N7n58M9AggggAACCCCQywIExbm8dVg2BBBIKlA50i5X7XXbdD84Om2N2g2t/7C73eP1Py6x\ng8641/Y76W92wOn/tA2rv48EyBPdawp4x4/4g/U98aZILehuttNex0Zux0dqUYdHgrtJbpp5n79m\n61cvcbXA+iwFiGtXLLSVi7+2ek3aWd9f3uymW/LtR3bYeY/ZKTdMtQNPu9M95/+s+G6avXLXce72\n0j+Otif/0tPWr1riX3bBePRB5B8FxmqH7Euq66MA951HzrMOu/3CmkSC4spVqtpuh/7OtJ4/Lp4e\nCfx7Wc26TSNBcY1IO+0D3ONEfvpc1XhPnzAisi7/tPpNOzqfQ899xNWYf/TMX9yiKaD3NfONIjXS\n/Yf9y4644Cl3gWHupy/5xeceAQQQQAABBBDIaQHSp3N687BwCCCQqkDlatVjJq0aqdlVqd+sowsO\n9X+jSE2wytqVC939t5Ofs61bNkZqQK9zj/VHQXO9SBC4KpLS3LxTb+u8z4nWpP1uVrt+czet0qhV\nVi2dbc067BVJo27pHrffdaApwFQHW/FFtba/+MML0adVUz36tsOjj1P5J5X1WTBtjK1Y+KVpmCdf\nmrbf3c78x3xXO+yfU/p0fIn3+/Kd+61hi64xw0Up7bxuk/Y2a9Io23/Ire411aCrNGzZNTpLOWtI\nKgoCCCCAAAIIIJAPAgTF+bCVWEYEEMiIgHp7dmXHDne3cvE3VrtBC+t3ym3Fzl/tYmvVa26fvHyz\nq2Ft2mHP/81i+0/v+V+P1+n0fF2zTiOXil3sh6b4Qvz6KCCuWr12kcBc6dLBEmwTHHze/78j4qM0\n7OY77eufit637LyfzVo+336MtM8urt20lkvzoCCAAAIIIIAAAvkgQPp0PmwllhEBBBIKqHOobVs2\nJXwtlScV8KozKnVqVVxZs2yePX/zQa5WeI8jL7F6jdsVN2laz/u047TelGTiHTu2R9o6r3cdjJU8\nadGa4uD0CpqrR1LQl8371LU5Dr7W4H/jRSulm4IAAggggAACCIRBgKA4DFuRdUCgQAXUgVa0trQU\nBk3a7uqCyK/HPxLz7k3rV9lX4x52z6nDK/X83L7XEe6xAs9MF6Vdb4ukcZe1qKdplW8nPRszK3WM\nNXfqyz89Fwl4d0TaHicrqgXesmmtLV/wecykyyKP1S5ZKeYUBBBAAAEEEEAgDAIExWHYiqwDAiEU\nWLNigVurbVuL1uKqNnTC03+OtOGtGm0vvH3LZtu8YbULYPVGdS6lEnz/xrXL3XNqR6yiTrU0tNLH\nz/0/+3zMv9yQQrM/ecHef/LiyHBJJ/80beSz1M54/pdjIr0uL48Ey8Pd8+ooS8Hz1k3r3eON637q\nkdk9+N+fTRtWuf/WRNKNSyoa5mhT5P3TPxwZCUTXuXs9Vi21ep5WSWV92u92lDVp28t1kqWesL/7\nZqx9EekRetyIi6xdz5/aGdeu3yLScdhS1xv16ki7aX2eSrxf7+P+n1WOpF3Pmvi0e11/dmzf7jog\nc6/9LxV9S2QIKZXtge0kp+2RIapIoXY0/EEAAQQQQACBHBeocl2k5PgysngIIJDnAtu2bbMbb7zR\njREc7JCpuNWaNekZ++yNf0Z6aF5s6yNjBy+IjCE8+5Pn3Ni6X7xzbySIvdZ+mDvZdj3kAtcrtGp6\n1VuyajaVTl2/eSeb+sadkWk+MaVYq8OoqjXq2KTRN7ixivVcs0jb4LqN21rbnodGxih+JzL/5yND\nNj3s2tL2OfHGSM/S7d3i1WnUxhZNfy8SqI5w7Wj3GfwXWzJzQmRM5NddG2N1OqXepRX4Vq5azdSx\nlWqv50TG7p362h2RnqoXRALaNa636bpNOkTa+zYrstoNmu0USXl+333+vKmvWPtIR1mq3a0RaXsc\nGVTYDZ80+aWbkq6PAvz2vQbaykVf25wpL0YC2sh4x5HgtP/Q//vfvMy1OdbzMyNDVdVp1DqyvHtE\nXGP9Grft6dLEW3U9IDK81D9NFyg0n6mRbdKl9y9tlwPOdOugTsc0/NTmSPC/dfM6l2I+/8s3XS27\ntoWStFt07pvSeMXzPn/dGlRfZ2ecMayID08ggAACCCCAAALZFKgUuZJPbyjZFGbeCCBgmzdvtho1\natjh5z9hHXY/OidFNOaw2tIqUI4vqiHdumWDVYsE1io6bKodcnwHVvHvS/fxhjXLop1kqTbb9zid\n7nw0vWqxleqtTr3ii2rU1QO1hn5KVrSuq5bOcjXVSs+uUq1GsreU6vVxkaGx2tVZam+NeaNU7+dN\nCCCAAAIIIIBAaQXofbq0crwPAQRCJaAxh4sr6pDLB8SaRsFzpgNizTc4nFNZAmLNq0btBrpLWKrX\nqp/w+URPal1V005BAAEEEEAAAQTCKkCb4rBuWdYLAQQQQAABBBBAAAEEEEAgqQBBcVIiJkAAAQQQ\nQAABBBBAAAEEEAirAEFxWLcs64UAAgggg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CCAQLkKEBSXKzcfhkBhCyxZssQuvvhiGzZs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"text/plain": [ "" ] @@ -1232,9 +990,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "## 発展: 畳み込みニューラルネットワークの実装\n", @@ -1246,10 +1002,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 定義: AlexNetモデル (ImageNetコンテスト2012優勝)\n", "\n", @@ -1267,11 +1020,9 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 27, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, + "collapsed": true, "scrolled": false }, "outputs": [], @@ -1309,10 +1060,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "----------------------" ] @@ -1320,9 +1068,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "# Section 2. Chainerの基礎\n", @@ -1337,9 +1083,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "## 3.1 NumPyとCuPy\n", @@ -1351,10 +1095,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: NumPyを試す\n", "\n", @@ -1363,11 +1104,8 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 28, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1375,7 +1113,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "9.176202000000018\n" + "6.505255000000005\n" ] } ], @@ -1393,51 +1131,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true - }, - "source": [ - "### 実行: CuPyを試す\n", - "\n", - "同じ処理をCuPyで試す。1行目の実行はCUDA関連の初期化に時間がかかるが、5000回のループ処理全体はNumPyと比べて4倍かそれ以上高速になる。" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1.1438629999999819\n" - ] - } - ], - "source": [ - "# import cupy as cp\n", - "a = cp.arange(1000000).reshape(1000, -1)\n", - "t1 = time.clock()\n", - "for i in range(5000):\n", - " a = cp.arange(1000000).reshape(1000, -1)\n", - " b = a.T * 2\n", - "t2 = time.clock()\n", - "print(t2 -t1)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "## Chainerの特長 - (2) CPU/GPU互換の行列演算\n", @@ -1447,11 +1141,8 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 29, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1459,8 +1150,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "9.171312999999998\n", - "1.138799000000006\n" + "6.494256000000007\n" ] } ], @@ -1476,16 +1166,14 @@ "\n", "enable_cupy = False\n", "xp_test(np if not enable_cupy else cp)\n", - "enable_cupy = True\n", - "xp_test(np if not enable_cupy else cp) " + "# enable_cupy = True\n", + "# xp_test(np if not enable_cupy else cp) " ] }, { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "## 3.2 VariableとFunction\n", @@ -1495,10 +1183,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: Variableは多次元配列を含むクラス\n", "\n", @@ -1507,11 +1192,8 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 30, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1536,10 +1218,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: VariableはCPUとGPUの間を移動できる\n", "\n", @@ -1548,11 +1227,8 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 31, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1560,24 +1236,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n", "\n" ] } ], "source": [ - "x.to_gpu()\n", - "print(type(x.data))\n", + "# x.to_gpu()\n", + "# print(type(x.data))\n", "x.to_cpu()\n", "print(type(x.data))" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: FunctionはVariableの変換を行う\n", "\n", @@ -1586,11 +1258,8 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 32, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1628,10 +1297,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: Variableは履歴を記憶する\n", "\n", @@ -1640,11 +1306,8 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 33, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1652,8 +1315,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "<__main__.MyFunc object at 0x7f6e4d87d128>\n", - "\n", + "<__main__.MyFunc object at 0x12662bf98>\n", + "\n", "None\n" ] } @@ -1676,9 +1339,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "### 説明: Variableは誤差逆伝搬をネイティブサポートしている\n", @@ -1692,10 +1353,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 定義: 順方向計算としての2次式\n", "\n", @@ -1704,11 +1362,9 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 34, "metadata": { "collapsed": true, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [], @@ -1722,10 +1378,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: 勾配を与えるための逆方向計算\n", "\n", @@ -1734,11 +1387,9 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 35, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, + "collapsed": true, "scrolled": false }, "outputs": [], @@ -1751,11 +1402,8 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 36, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1775,11 +1423,8 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 37, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1800,9 +1445,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "## 3.3 LinkとChain\n", @@ -1815,9 +1458,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "### 実行: Linkはパラメータを持つ状態付き関数\n", @@ -1829,11 +1470,8 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 38, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1841,8 +1479,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[ 0.01404045 0.08323919 0.63728082]\n", - " [ 0.52935618 0.05349404 0.44686988]]\n", + "[[ 0.92207289 0.2305249 -0.21880732]\n", + " [-0.4047718 0.84203005 0.05090269]]\n", "[ 0. 0.]\n" ] } @@ -1857,11 +1495,7 @@ }, { "cell_type": "markdown", - "metadata": { - "collapsed": false, - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: Linkのインスタンスを使う\n", "\n", @@ -1870,11 +1504,8 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 39, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1882,8 +1513,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[ 2.09236121 1.97695386]\n", - " [ 4.29604292 5.06611395]]\n" + "[[ 0.72670072 1.43199635]\n", + " [ 3.52807236 2.89647913]]\n" ] } ], @@ -1896,10 +1527,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 実行: Linkに対して勾配を計算する\n", "\n", @@ -1908,11 +1536,8 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 40, "metadata": { - "collapsed": false, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [ @@ -1940,10 +1565,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "### 定義: ChainerはLinkの集合、つまりネットワークを表す\n", "\n", @@ -1952,11 +1574,9 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 41, "metadata": { "collapsed": true, - "deletable": true, - "editable": true, "scrolled": false }, "outputs": [], @@ -1980,10 +1600,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "## 発展: Define-by-Runというアプローチ\n", "\n", @@ -1991,7 +1608,7 @@ "\n", "\n", "\n", - "Define-and-Runは極めて著感的で、かつ訓練の前に計算グラフを最適化しやすいという特徴をもっている。一方、そのデメリットもある。例えば、リカレントニューラルネットワークのようなモデルを記述するときには、特殊な文法を用いる必要がある。また、ネットワークが動的に変化する、例えば部分的に追加・削除される場合でも、可能性のある計算グラフの全てを訓練の最初から最後までメモリ上に保持しておく必要があるため、メモリ効率の面で最適とはいえない場合がある。\n", + "Define-and-Runは極めて直感的で、かつ訓練の前に計算グラフを最適化しやすいという特徴をもっている。一方、そのデメリットもある。例えば、リカレントニューラルネットワークのようなモデルを記述するときには、特殊な文法を用いる必要がある。また、ネットワークが動的に変化する、例えば部分的に追加・削除される場合でも、可能性のある計算グラフの全てを訓練の最初から最後までメモリ上に保持しておく必要があるため、メモリ効率の面で最適とはいえない場合がある。\n", "\n", "それゆえに、ChainerではDefine-by-Runを名付けた異なるアプローチを採用している。ここではモデルの定義が訓練と同時に順方向計算として与えられており、その場で計算グラフが構築される。これによってユーザーはループや条件分岐などを含む複雑なニューラルネットワークを、ホスト言語であるPythonの文法そのままを使って、容易に実装できる。また、Truncated BPTTのような計算グラフへの変更も、効率的に行われる。\n", "\n", @@ -2002,30 +1619,21 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "-----------------------" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "# Section 3. まとめ" ] }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "このnotebookではChainerを柔軟で直感的、かつパワフルなディープラーニングフレームワークとして紹介した。特に、最近の学術論文で提案されている複雑なニューラルネットワークモデルを容易に再実装したい時や、新しいアルゴリズムのプロトタイプを実装する際に、Chainerは威力を発揮する。\n", "\n", @@ -2041,10 +1649,7 @@ }, { "cell_type": "markdown", - "metadata": { - "deletable": true, - "editable": true - }, + "metadata": {}, "source": [ "----------------------------------" ] @@ -2052,9 +1657,7 @@ { "cell_type": "markdown", "metadata": { - "collapsed": true, - "deletable": true, - "editable": true + "collapsed": true }, "source": [ "これで本notebookは終了である。さらなる詳細は[公式チュートリアル](http://docs.chainer.org/en/stable/tutorial/index.html)を参照されたい。" @@ -2077,9 +1680,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.3" + "version": "3.6.1" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/chainer-ja_karaage.ipynb b/chainer-ja_karaage.ipynb deleted file mode 100644 index 8a58df1..0000000 --- a/chainer-ja_karaage.ipynb +++ /dev/null @@ -1,1668 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chainerハンズオン: Pythonによるディープラーニング入門\n", - "\n", - "## 目的\n", - "\n", - "ニューラルネットワークを用いた画像認識タスクを通じてChainerの使い方と特徴を理解する\n", - "\n", - "## このハンズオンで学べるChainerの特長\n", - "\n", - "1. デバッグのしやすさ\n", - "2. CPUとGPUで共通のArray操作\n", - "\n", - "## 目次\n", - "\n", - "### Section 1. パーセプトロンによるMNIST画像分類\n", - "\n", - "単純なニューラルネットワークで数値画像の分類タスクに挑戦する\n", - "\n", - "* 多層パーセプトロンの構築と訓練\n", - "* 結果の評価と可視化 \n", - "* モデルの改良とデバッグ\n", - "\n", - "### Section 2. Chainerの基礎\n", - "\n", - "Chainerのデータ構造と実装の特徴をまとめる\n", - "\n", - "* NumPyとCuPy\n", - "* VariableとFunction\n", - "* LinkとChain\n", - "* Define-by-Run\n", - "\n", - "## 注記\n", - "\n", - "このJupyter notebookはNVIDIA製GPUを搭載したマシンにCUDA7.0とChainer v1.20.0.1がインストールされた環境を想定している。\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 準備: Chainerのインポート\n", - "\n", - "最初にChainerと関連モジュールをインポートする。CuPyについては後ほど説明する。" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Chainer version: 2.1.0\n" - ] - } - ], - "source": [ - "# Import Chainer \n", - "from chainer import Chain, Variable, optimizers, serializers, datasets, training\n", - "from chainer.training import extensions\n", - "import chainer.functions as F\n", - "import chainer.links as L\n", - "import chainer\n", - "\n", - "# Import NumPy and CuPy\n", - "import numpy as np\n", - "# import cupy as cp\n", - "\n", - "# Utilities\n", - "import time\n", - "import math\n", - "\n", - "print('Chainer version: ', chainer.__version__)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Section 1. パーセプトロンによるMNIST画像分類\n", - "\n", - "MNISTは機械学習でよく用いられる分類問題のベンチマークデータセットである。手書き数値文字画像を7万サンプル含み、それぞれに0から9までの正解ラベルが与えられている。タスクは、与えられた画像の数値を予測することであり、10クラス分類問題に相当する。\n", - "\n", - "\n", - "\n", - "各サンプルは縦横28x28のグレースケール画像（784次元ベクトル）である。" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "### 定義: 多層パーセプトロン(2層)\n", - "\n", - "最も単純なニューラルネットワークモデルとして、2層の多層パーセプトロン（MLP2）を用いる。それは入力と出力、およびその間に1つの隠れユニットを持つ。2つの線形レイヤー（全結合層）がそれらの間にあり、それぞれ重み行列とバイアス項をパラメータとして内蔵している。隠れユニットに対する活性化関数はtanhを用いる、\n", - "\n", - "\n", - "\n", - "以下がMLP2を実装したクラスである。コンストラクタ(``__init__``)の中では各レイヤーの種類と大きさしか定義されていないことに注意したい。実際の順方向計算は別の``__call__``メソッド内に直接書かれている。一方、逆方向計算は明示的に与えられてない。なぜなら、Chainerは順方向計算中に計算グラフを記憶し、それに沿って逆方向計算を行うからである（詳しくはSection 2で述べる）。" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# 2-layer Multi-Layer Perceptron (MLP)\n", - "class MLP2(Chain):\n", - " \n", - " # Initialization of layers\n", - " def __init__(self):\n", - " super(MLP2, self).__init__(\n", - " l1=L.Linear(784, 100), # From 784-dimensional input to hidden unit with 100 nodes \n", - " l2=L.Linear(100, 10), # From hidden unit with 100 nodes to output unit with 10 nodes (10 classes)\n", - " )\n", - "\n", - " # Forward computation by __call__\n", - " def __call__(self, x):\n", - " h1 = F.tanh(self.l1(x)) # Forward from x to h1 through activation with tanh function \n", - " y = self.l2(h1) # Forward from h1to y\n", - " return y" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 準備: MNISTデータセット読み込み＆前処理\n", - "\n", - "MNISTデータセットをchainer.datasets.get_mnist()を使ってメモリ上に読み込む。\n", - "\n", - "元の70,000サンプルを2つに分け、60,000サンプルの訓練用データセット（x_trainとy_trainのペア）と、10,000サンプルのテスト用データセット（x_testとy_testのペア）を用意する。" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train: 60000\n", - "Test: 10000\n" - ] - } - ], - "source": [ - "train, test = chainer.datasets.get_mnist()\n", - "print('Train:', len(train))\n", - "print('Test:', len(test))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 準備: 実験セットアップ\n", - "\n", - "以下の変数は実験を通して使用する。" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "results = [] # Store all of the experimental results\n", - "batchsize = 100 # Size of minibatches " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Experiment 1.1 - CPUを用いたMLP2の訓練\n", - "\n", - "最初の実験として、CPUベースでNumPyを用いた訓練を行う。エポック数（n_epoch、各サンプルが訓練中に何度使われるか）は2に固定する。" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "enable_cupy = False # No CuPy (Use NumPy)\n", - "n_epoch=2 # Only 2 epochs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 定義: MNISTの訓練とテストを行うメソッド\n", - "\n", - "下のtrain_and_test()は実際に実験を走らせるメソッドで、Chainer v1.11.0から導入された[Trainer](http://docs.chainer.org/en/stable/tutorial/basic.html#trainer)を用いている。内容は以下の様な標準的な機械学習ワークフローの後ろ3つの処理を含んでいる。\n", - "\n", - "\n", - "\n", - "Optimizerは誤差逆伝搬によってモデルのパラメータ（ここではMLP2中の線形レイヤー中の重み行列とバイアス項）を更新するために使われる。Chainerはよく使われる最適化アルゴリズムの多くを[サポート](http://docs.chainer.org/en/stable/reference/optimizers.html#optimizers) している(SGD, AdaGrad, RMSProp, Adam, etc...)。ここではSGDを用いる。[L.Classifier](https://github.com/pfnet/chainer/blob/master/chainer/links/model/classifier.py) はニューラルネットワーク（ここではMLP2）を内蔵した分類モデルを表す。デフォルトの損失関数はSoftmax cross entropyである。" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "def train_and_test():\n", - " training_start = time.clock()\n", - " log_trigger = 600, 'iteration'\n", - " classifier_model = L.Classifier(model)\n", - " device = -1\n", - " if enable_cupy:\n", - " model.to_gpu()\n", - " chainer.cuda.get_device(0).use()\n", - " device = 0\n", - " optimizer = optimizers.SGD()\n", - " optimizer.setup(classifier_model)\n", - " train_iter = chainer.iterators.SerialIterator(train, batchsize)\n", - " test_iter = chainer.iterators.SerialIterator(test, batchsize, repeat=False, shuffle=False)\n", - " updater = training.StandardUpdater(train_iter, optimizer, device=device)\n", - " trainer = training.Trainer(updater, (n_epoch, 'epoch'), out='out')\n", - " trainer.extend(extensions.dump_graph('main/loss'))\n", - " trainer.extend(extensions.Evaluator(test_iter, classifier_model, device=device))\n", - " trainer.extend(extensions.LogReport(trigger=log_trigger))\n", - " trainer.extend(extensions.PrintReport(\n", - " ['epoch', 'iteration', 'main/loss', 'validation/main/loss',\n", - " 'main/accuracy', 'validation/main/accuracy']), trigger=log_trigger)\n", - " trainer.run()\n", - " elapsed_time = time.clock() - training_start\n", - " print('Elapsed time: %3.3f' % elapsed_time)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "### 実行: \"test finished\"が表示されれば完了\n", - "\n", - "ここで実験を走らせて最初の結果を得る。30秒かそれ以上かかる場合もある。" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch iteration main/loss validation/main/loss main/accuracy validation/main/accuracy\n", - "\u001b[J1 600 1.10862 0.639059 0.7614 0.8621 \n", - "\u001b[J2 1200 0.557674 0.465427 0.86545 0.8875 \n", - "Elapsed time: 5.580\n" - ] - } - ], - "source": [ - "model = MLP2() # MLP2 model\n", - "train_and_test() # May take 30 sec or more" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 評価: 1回目の結果を確認する\n", - "\n", - "精度（accuracy）は90%に届かない程度だと思われる。悪くはないが、今後の実験で性能向上を目指す。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 準備: 可視化ツールのインポート\n", - "\n", - "Pythonでは標準的なmatplotlibを計算グラフと画像の可視化に用いる。" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# Import utility and visualization tools\n", - "import pydot\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.image as mpimg\n", - "from IPython.display import Image, display\n", - "import chainer.computational_graph as cg" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 定義: 計算グラフの可視化メソッド\n", - "\n", - "Chainerは入力から損失関数までの計算グラフを出力できる。" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "def display_graph():\n", - " graph = pydot.graph_from_dot_file('out/cg.dot') # load from .dot file\n", - " graph[0].write_png('graph.png')\n", - "\n", - " img = Image('graph.png', width=600, height=600)\n", - " display(img)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: MLP2の計算グラフ可視化\n", - "\n", - "display_graph()を実行することで、有向グラフが表示される。一番上の3つの楕円形がそれぞれ784次元の画像100サンプル、線形レイヤーの対応する784x100の大きさの重み行列、長さ100のバイアス項ベクトル、を表す。\n", - "\n", - "中間の隠れユニット（100x100）は活性化関数tanhを通して次の線形レイヤーの入力となる。ニューラルネットワークの出力である長さ10の100ベクトルは正解であるint32のリストと比較され、SoftmaxCrossEntropy関数によって損失がfloat32の値として算出される。\n", - "\n", - "このグラフを構築したあと、誤差逆伝搬が末端の損失から入力までを遡り、モデルのパラメータ（2つの線形レイヤーの係数行列とバイアス項）を更新する。" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "image/png": { - "height": 600, - "width": 600 - } - }, - "output_type": "display_data" - } - ], - "source": [ - "display_graph()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 定義: 画像と予測ラベルのプロット\n", - "\n", - "テスト用データセットのMNIST画像60サンプルをプロットする。画像上部の\"Answer\"がデータセットで与えられた正解であり、\"Predict\"が現在の分類モデルによる予測結果である。" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "def plot_examples():\n", - " %matplotlib inline\n", - " plt.figure(figsize=(12,50))\n", - " if enable_cupy:\n", - " model.to_cpu()\n", - " for i in range(45, 105): \n", - " x = Variable(np.asarray([test[i][0]])) # test data\n", - " t = Variable(np.asarray([test[i][1]])) # labels\n", - " y = model(x)\n", - " prediction = y.data.argmax(axis=1)\n", - " example = (test[i][0] * 255).astype(np.int32).reshape(28, 28)\n", - " plt.subplot(20, 5, i - 44)\n", - " plt.imshow(example, cmap='gray')\n", - " plt.title(\"No.{0} / Answer:{1}, Predict:{2}\".format(i, t.data[0], prediction[0]))\n", - " plt.axis(\"off\")\n", - " plt.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: いくつかのサンプルが誤分類される\n", - "\n", - "多くのサンプルの数字は正しく分類されているが、誤りも見受けられる。例えば、一行目のNo. 46の画像が'3'と予測されているかもしれないが、人間には正解の通り'1'に見える。同様に、いびつな形をした'6'である二行目のNo. 54を'2'と誤分類していないだろうか。" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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iktY0sz7mz7adaWaTJd0e2tTP/JW0ujNqGybau7H5M3Wzw99t+0Rd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\nrrvuGsUzZswoX8MayTlnxZdaNDQlV9P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Xkj/L3Ee+0/FSos7kf5/1rZC/L+nf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MXp+l69euXKhx9+eFRX6NLaptS3b9+88V577RXV3XbbbRVoUXY4QwYAAAAAGaFDBgAAAAAZoUMG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\naccu8rfK/qqeOsnn4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G6T9KqZ9SrwHW3tuXqJ/LiaV8K8b5Y/Q/BpidfVqcVc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\nBgAAAAA5oUMGAAAAADlhDFmNOfvss6O4T58+Sdk5F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5jZQ4l4ipltH8pbmNmz4fHvmdmJ\nieXuNLNhZvakmX0uad9iG5n4YrmrtJdlOefcMkm3y+84Nq47AmBmvzSzmZLuCM9xhPkzafPM7F9m\ntm3i+Xcws/+EoxgPSFopURcdUTCz9c1suJnNMrM5ZnajmW0p/z7sHo4ozKuv3Q3c5orkqpkdJGl9\nST93zs13zn3lnPtvPesoJVcfC8tEZ4bNH+W90sxeCO/BMxbOcpjZSmZ2T3it54XtWsvM9rXE2cWQ\ni68k4jFmdkwor2tmfw3v2UQzOzux3GAzezg8xwJJA9MNd85NSf3I/1rSJvW8Ht/gvEclzZW0lS0/\nqvpdM/tI0nOhTbuFHJ1nZm+YWZ9Eezcys9HhdXpW/sd3XV10lNbMuprZHWY23fxR9EfNH2UdKWld\nW34EbN0m3uaK71PNzEJ9fQe5ajlPh4Uz+l8656ZJ+ov8D6uytKQ8TQqPOV7150BSpXK1h6S3nHOv\nOeec/H6/m/wP1ULqy9X+kl6SdKe+mat3mtkfzeyJ8B7828w2DnVmZjeYP+uywMzGm1mv8J7NM7M2\nYblbzOyTxDrvNrOfhPJqZnabmc0ws2lmdpWFzqX50SIvhOeYI2lwnrYfKem2sJ9ZKH8w5SQzW7nI\n9ublnHtR0luSeoXnd2Y2yMw+kPRB+Fux3yurm9nfwmvxsqSNU6+lM7NNQrmDmV1vZpNDTow1sw6S\nng+Lzwu5unsTb3Ol8rQhbazZfWqqrQ3Zv0hqdfvU3EaX9U/SJEkHyJ8NuCr87Qz5o6yS1DW8gP3k\njxCfHOLV61mvSfqfpIGJv/WR9KWkjyVNlHSDpI5F1rGOpGmSrED9hvJHNraS9DNJ4/Js28vyRzm6\nSnpH0g9D3TXyHYj24d9eoc09Jc2T79yuK2mypKnhMT3DtreR1FHSFEmnh9dlB0mzJW0Vlr1T0nz5\nHwNt5Ds4p6TbmGjrpXWveYnv20BJY0O5nfyRo8/kjzz2kbRUfkeyonxHbQdJn8gfNW4rv1OYFOpX\nCNt5bngt+kr6KpEPfRKvQVtJb9S9d2G7eqfblGhnU27zJFUuVy+V9LSkeyTNkfSKpH2KrKN9eP9X\nLVC/sqQF8jvu48OyKyTqR4U2bBber1GSrg11P5D0eFhHW0k7yR9t6iBpsfxOqb3852qapFVD3ReS\nVg/591rYphXk8/hDSQeH9Q8O7/cxYdkOknpLmpfaht7yOe0kfS7poBLft2T+tJF0bHi+zeV/pNX9\nOOsYnrt7eM0PC8sfGOI1wjpelPRb+dzdWz7v7wl1detrF+InJD0gqUt4jfZJtym1fY3eZlUwT1P1\ne0taKGmV1pynqe15tK59tZynibr+4TXL+52Z8T61U3h/676DzpL032JtlfSupM2L1E+Q9KOQa19J\nWitRd2d4P3YJbf+LpPtD3cGhLZ1DW7eUtE6o+0jSTqH8Xng9t0zU7RDKj0i6KeTDmvK/NX4Q6gbK\nfwefFZ67g/xIi3mSNgjLPCzpF4n27hlyYrsS3rdc/oT27ylpkaT9Q72T9Gx4/zqo/t8r90t6MCzX\nS/7zOTbxfE7SJqH8R/nPfffwPu4hn+O5NiUe1yTbrMrmaVltVCvap6r8/UsftbJ9avTYsh+wPNF7\nyf/wWENxoveT9HLqMS+qwI+CxDJ7KfXjQNLa8p2nNpI2kj+iclORdXxX/khFofqL5YczKLyRXyvs\nLBPbdloi/rWkP4XyFfJHLDbJs94pknaU9G1JN8vvaLeQ35n9LSxzkqQxqcfdJOmyUL5T0l1lvA8T\n6ntNU8sPlN/hz5P/gL8k6YBEwn0paaXE8sMkXZlax3uS9gmJPT2ZcPJDCfN1yHaXNEuJnW6qTWPL\n2IZyt7mSuXqz/If7u/If5m+H17pbgXXsL+kfRZ7jtLrXTb4TO1/SsYn6UZIuTsQ/kvRUKH8nvB/b\n5lnvGEnHSdpN0jPyX6qHyJ+RHReW2VXSR6nHXSDpjlAeLH+EsNT3oXt4zGYlLt9H/sDJPEmfSnpd\n0rdDXY/wOvdMLP9LSXen1vG0/EGEDeTzvmOi7l7l2SnLH9BZJqlLgTZNbY5trmSepupvk3RnPeto\nTXn6HUlTVeAzW6N5+g9Jg8tYvmK5Kv/j90L5H2RL5b+3di6yjo0lTShS3zusq1uI35V0bqL+Tkm3\nJuLDJL0byvtJej/kY5vUeu+W9FP53yvvyf9u+KH8b5a6g7VryU+V6JB43MmS/hnKA9O5nKf9Z4Q2\n9JA/kPq3kBO7l/C+1eXPPPmOxzuSzk7UO0n7JeKCv1fkf+h/JWmLRN3VytMhC9v+hfJ0TpSnQ9ZU\n21zhPC2rjWpd+9Ry9y991Mr2qcl/DR6D6Zx708xGSDpf/sNdp+4sUdJk+R8oxQyQ9FeXGPvtnJsp\nPydHkiaa2S8kjZA/CpDPYfIveCH9Jd0S1j3NzEaH500OLZuZKC+S3x7Jn/4eLOkZM5Okm51z14a6\n0fJv2iahPE++47J7iCV/dm5Xi4fmtZPfmdeZUqTtOeYnNq8tf2SmHC855wpNip7lnFuciDeUNMDM\nzkr8bQX518NJmuZC9gXp97zO+pImO+eWltnWSCO2uSK5Kv+lM8k5d1uI7zezi+SPlj2WZx2lDFl4\nMLxuS83sr+FvjySWSedq3UT2u+Vf9/vDcI17JF3knPtKy3N1aijPlc/VJYpzdd1UrraV36HXKSlX\npdxn7Sn5o6o7lviw6c659YrUJ59/Q0knmNmRib+1l/RP+fd4rnPu80TdZPnXJ219SZ865+aW2MaC\nGrLNFcpTSVIYTnOCpKPrWUeryNMwXOca+YNUxebTpbXYPDWzDeRf4++V+9gK5ep35Q9qbi1/MO4g\nSSPMbAfn3PQ86zhMfnhRsed4JvH+3hv+dkNimby56px7zsxulD/bs6GZDZd0nnNugXw+HiWfq8/L\n/2DuJ39GYoxzbpmZbSj/Xs8Ivx8k31lJ5kd9uXq7/Hs/Sv63w/Xyw+WKXnAgpVuR7+J0rhb6vbJG\nKCeXL/T9302+U/G/MtqY1KhtrlCeltvG1rJPbej+pVXuU6XGX/b+svDEySSeLv8iJW0gf3o0rzCe\n+ATVP+bSqUCbzay9fHI9W6B+D0mbSrrAzGaanyu1q6RTrITJgc65z5xzP3PO9ZTf+f7UzPYP1XWJ\nvlcojw5t2UfLE32KpNHOuc6Jf6s4585MbV8pBkganu+HViOkn3uKpCGp9q7snLtP0gxJ3S3xzSL/\nHuczRdIGBV7jUrdXavw2N3eujtM3t6fY9hXcKZvZevJHZE9L5GpfSYdZkavh5Z7Uz1+73Dm3lfzw\nkCPkD0ZIy3N1bxXP1Ymp935V59xhJW5bPu2UmmfQSMnnnyJ/lCzZ3o7hgMkMSV0scbUtFc/VrgXm\nHJS7vVLDtrlS+9Rj5Y9AjqqnPTWfp+YvbHCLpCOdcyVdwbUM1Zyn/SS94Oq5Gl4RzZ2r20sa4Zx7\n3zm3zDn3lPzrVGiuT7Fc7SDpREn7JHL1XEnbmdl2hdqW5Jz7vXNuJ/lRO5tJ+nmoGi3/3d8nlMfK\nH4hL5+oS+Q5R3XvfyTm3dfIp6nn+Zc65y5xzPcIP1rfkX9eCr22Z0rla6PfKLPkzD8kftoVydbZ8\nxzTffrDeXG2ibW7WPG1AG2t+nxo0dv9SSM3uUxvVIXPOTZAfc3l24s9PStrMzE4xs3ZmdpL8DmxE\nkVUdK99b/2fyj2Ei4obmrS9/xaV8ZxskPxxhXDhilc8A+c7aVvI7+u3lT2d3kHRokbbVteUIM9sk\ndELmyw93XBaqR8uf9u3gnJsqfzThEPkxuXVn30bIvy79zKx9+Lez+YtblCzxxXJnnrpRZja4nPUV\ncYukH5rZruH172hmh5vZqvKn9pdKOjtsx3Hy4+7zeVn+g3FtWMdKZlY3af5jSeuZ2QrFGlJsm0vV\n3Lkqf/Sqi/nLaLc1s76S1pO/8l56ezaStKJz7p10XdBPfgjE5lqeq5vJH9k6ufiW5j4325ifML5A\nfnhJXa7+K6x3F/khG28pHA3V8knWL0v6zPxFXjqE7ellZVztycxODUeLFI4OD5E/lV9Xf6eZ3Vnq\n+upxj6Qjzezg0NaVzF9YZj3n3GRJr0q63PwlsXvLH738BufcDPkj7EPNrEvI7b1D9ceSVjez1Qo1\nor5tLkUF8rTOAPkh0gW/bFpJnu4nP1foeOfcy3nqay5PE/qruvepr0g63Mx6hu+gA+Xz6830Csyf\n8d0lzzrqHCP/nZ38/t9S/ru6f4HHJNe/c/gubC8/N3SxQq465z6QHyFxmnwnZoH8+3C8wg/d8J49\nI+l6M+tk/oJgG5vZPvU9d6INXcNjzPxV534r6QrnL9JVd8GFUaWurx4Ff684f5nw4ZIGm9nKoS0D\n8q3ELb+A2G/NXyyirflbE60o37FbJj9PqUHbXIoK/E4tuY2tYZ+akHf/wj61sKa4MfQV8hPsJEnO\nuTnyvfKfyU+u+4WkI1wYJmD+ev1/Sq1jgHwvN/3jYAf5JPo8/D9e8YcqqeDl7s1fKfFESX9wzs1M\n/Jsof4o3784kZVNJf5cfP/yipKHOuX+GbX4//H1MiBfIT+p7Iey85Jz7TH7Ixbflj87M1PKLaOQV\nfuC9lfrzMfJDIvN98ayvPB2AhnDOvSp/VOlG+Z3QBIUr6jjnvpQfizxQ/ij7SfI76Hzr+Vr+Q7CJ\n/ATnqWF5yV8l5y1JM82sLj/K3eZyNFuuOuc+lT9zep58h/18SUe7/MOf6rs1wwD5/Erm6kz5i8qU\nkqt1QzsXyA/TGK0wNNb50/f/kb962Zdh+Rflh5V+Epb5Wv512V7+YjqzJd0qPz4+L/M3A0+evdxK\n0r/MXzH0Bfm5FcnT+E2Zq1Pkh95dKP8lP0X+6HXd/u0U+S+dT+WPlha7Smc/+S+xd+UvavOT8Bzv\nyl/K9kPzV3NatwHbXKrm3KfKzLrLH4Wt72qlrSFPLwnLP2nLr6KVHPZWi3kq81e0W08NuDRzSnPm\n6l3yQ35HyefI7+UvgvFunnbsJ39bl8V56uqe4w7nL2GezNUbJZ1q9Y+S6SR/kHKu/LCnOfLTGOqM\nljQnvMd1scnncJ3+8sP+3w7reVh+7kpetvz+V3VH9bvJfx4/l//xeLtz7ubEQ5oyV+v7vfJj+WFy\nM+V/gN5RZHXnyf92e0U+t38lPw9vkfxBqxdCru7WgG0uVXPmaTltbA371Pr2L+xTC7AiB0hbFPM3\n0OvrnGtxN9JrCuZPdT/onCv10q3IiJk9KelG51yxHXPNMn9G9A35icdfZd0e5EeekqcthZkNlfSm\nc25o1m3Jipm9Ln/VxDlZtwX5sU9ln1pM1dxYrTHCm3xXa+2MSVIYKklnrGUYpcaf7WuxwtG5sobq\nIhOjRJ6Spy3D6/KX+261nHPbZ90G1GuU2KeyTy2gZs6QAQAAAEBL0xRzyAAAAAAADdAihiyaGafx\nqphzzupfqnUgV6sbueqRp9WNPF2OXK1u5KpHnla3lpCnnCEDAAAAgIzQIQMAAACAjNAhAwAAAICM\n0CEDAAAAgIzQIQMAAACAjNAhAwAAAICM0CEDAAAAgIzQIQMAAACAjNAhAwAAAICM0CEDAAAAgIzQ\nIQMAAACAjNAhAwAAAICM0CEDAAAAgIzQIQMAAACAjLTLugEAsrXLLrvkyhdccEFUt+uuu0bx2muv\nnSsPGTIkqrvkkkuaoXUAAAC1jTNkAAAAAJAROmQAAAAAkBE6ZAAAAACQEXPOZd2GeplZ9TeyFXPO\nWdZtqBYtIVf33XffKH7ooYdy5WnTpkV1m2yySRR36NAhV164cGFUd+ihh0bxCy+80Kh2Ngdy1WsJ\nedqakafLkavVjVz1yNPq1hLylDNkAAAAAJAROmQAAAAAkBEuew/UuC222CKKk0MUJemjjz7Klb//\n/e9HdbNnz47in/3sZ7nyoEGDorpTTz01iqtxyCIAVJODDjooV77qqquiup133jmKL7vssihOLr9s\n2bJmaB2ASuEMGQAAAABkhA4ZAAAAAGSEDhkAAAAAZITL3le5zTbbLIr/8Y9/RHHy0uO9e/eO6ubM\nmdN8DUtoCZcTrZRqzNUnnngiijfddNMo3nbbbXPlxYsXF11Xjx49cuVx48ZFden5DTfccEM5zawI\nctWrhjxt1y6ewpzMLUk67bTToniVVVYped3Dhw/Pld9+++2obt68eSWvJyvk6XLVkKtN6ZBDDoni\n++67L1fu1KlTWetaddVVc+VFixY1rmENRK56LT1P0/vfE088MYpPPvnkXHm77bYra91my1Mk3ee4\n7rrrovgXv/hFWesuVUvIU86QAQAAAEBG6JABAAAAQEbokAEAAABARmr+PmTpMdkdO3YsuOyXX34Z\nxeXMwUqvN/m8yXleUvG5EGuttVYUP/roo1HcvXv3KE7O+UmOJ5cqN4cM1e0Pf/hDFG+00UZRnM77\nUqUf9/777zdoPahd6bkGBx98cK58xBFHRHV77rlnkz3vueeemyun8/KCCy6I4vQ+FmhKXbp0ieIH\nH3wwipO/HcaOHRvVTZs2LYpPOumkKG7btm1TNBEtyKGHHhrFW2+9da7cmPlX7du3j+Ji8xnLvfZE\nseWTc9Mk6eabb86VJ0yYUNbztHScIQMAAACAjNAhAwAAAICM1PyQxauuuiqKf/zjHxdc9uOPP47i\nU045JVdODrWRpDXXXDOKt9pqqyjeZZddcuU333wzquvVq1eRFpfnrrvuypUnTZrUZOtF7Xjqqaca\n/NjOnTtH8eDBg3PlBQsWRHXpIQ9ofb7//e9H8cCBA6N41113zZVnzpwZ1d1+++1RPGTIkChOD/1O\nSu+PjzvuuFw5fTuG5GXGJemhhx6K4v79+xd8HqAU3/rWt3LloUOHRnXp6Q1PPvlkrty3b9+obued\nd47i9JDFH/3oR7nyr371q4Y1FlVn/fXXz5WTv/GkOLckaeWVV65Im5rLuuuuG8XJ2zcxZBEAAAAA\nUBF0yAAAAAAgI3TIAAAAACAjNT+HbOrUqVH8zjvv5ModOnSI6ubNmxfFt9xyS66cHvedvjx9Mdts\ns00Ul3vJ0KT0fKDzzz+/wesC0tLj0V988cUo3nzzzXPlm266Karj8uGt0z777JMrX3311VHdiiuu\nGMXJOby33XZbVNfQ2y9I0uzZs6P47bffzpXTt/+48cYbo/jYY4+N4p122ilXfu211xrcJrQehxxy\nSBT/5je/yZU33XTTqC4570uK5zQuWbKkrOft2bNnWcujZTjggANy5b333jvDljS/yZMnR/HIkSMz\nakn2OEMGAAAAABmhQwYAAAAAGaFDBgAAAAAZqfk5ZL/+9a+j+I9//GOuvOqqq0Z16fvirLHGGrly\nly5dorqmHLt97rnn5soHHnhgVJe+11N6zlh63htQruQY9eS8Semb8x8eeeSRXPnyyy9v3oahRXj8\n8cdz5fRc23SODBs2rCJtSrr11lujOH2fseQ9I6V4vw/ks++++0Zx+l52ybmT1113XVSXnnubnMt+\n0UUXRXVnn3120Xak77+H2vDZZ5/lyl999VVU11z3+1y0aFEUp38PJyXvnScVv79vfT7//PMoTt8P\nuDXhDBkAAAAAZIQOGQAAAABkhA4ZAAAAAGSk5ueQpSXHq6bHrqbNmjUrb1mS3n///Qa3IX1vnp/+\n9KcFl/35z38exePGjWvw86J1WmmllaL4mmuuieJBgwblyu3axbuEL774Ioovu+yyXLnYGHO0Hsm5\nuMuWLYvqknMhspKeg1HuvZ6Azp07R3Hy3mHSN+/fmJyrPnz48Kguff+9I444Ilfu1q1bWe0aMmRI\nWcujZXj44Ydz5TZt4vMm6fvannLKKbly+poJ5Ujfs/eJJ54ouOxqq60WxY2ZQ4blOEMGAAAAABmh\nQwYAAAAAGWl1QxarQXoY4gEHHFBw2SlTpjR3c1Dj0pdSPuecc0p+bPKSzJJ044035sp9+vRpVLtQ\nG374wx/myu+9915UN378+Eo35xs23njjKN5pp52iePr06VE8duzYZm8TWpbNNtssitO3zElL3krk\nBz/4QVSXHhZejokTJ0ZxNXy+0LwefPDBovEll1xSkXaceOKJuXKxaTbleuaZZ5psXS0dZ8gAAAAA\nICN0yAAAAAAgI3TIAAAAACAjzCHLwJprrlmw7tNPP43i9KVIgXI98MADUdyvX78oTl7CdsSIEVHd\nfvvtF8XvvPNOrvzII49Edf/973+j+Morr4xi51yJLUZLctNNN2XdhKJOO+20KE5fonzo0KFRvHDh\nwmZvE1qWl19+OYpnzJgRxRtttFEUJy9Nnr71Q7H5Z+l95HPPPRfFxx9/fBRzCwc0lzXWWCOKk9c+\n2HHHHRu83muvvTaKKzUHriXgDBkAAAAAZIQOGQAAAABkhA4ZAAAAAGSEOWQNNGDAgChOzsOpz3bb\nbVewrlOnTlF8xhlnRPGHH35Y8LF77LFHFA8bNiyKR48eXWoTUUPefPPNKO7Ro0eD17Xeeuvlyi++\n+GJUd/TRR0dxr169oviKK64o2CagKZ1//vm58qWXXhrV/e53v4viCy+8sCJtQu1I7+t22GGHgsum\n7xX2n//8p+CyN9xwQxSn71kKNJd11lknitP3O2vMvLGkxx57LIqXLVvWJOutBZwhAwAAAICM0CED\nAAAAgIwwZLFExx57bBTffvvtUWxmBR+brit2+e927eK35Oyzzy61id+Qviw50FjJ2zBsttlmUd2v\nf/3rKB40aFAUT5gwIVdmmBia0oEHHhjFQ4YMyZXffffdqO7666+P4q+//rr5Goaa9NZbbxWNk+6+\n++6i6/q///u/XPmCCy5oXMOAMiSHKaZvj5OeAlOO9O2aksMfma5QGGfIAAAAACAjdMgAAAAAICN0\nyAAAAAAgI1ZsPlO1MLOqa+SZZ54ZxZdddlkUd+zYMVdu0ybu96688soF17t48eIofv7556P4f//7\nXxQ/++yzuXJWc8acc4Un0LUy1ZirlbLSSitFcXqs+DvvvJMrH3nkkRVpUxq56rX0PE1e1l765lzb\nN954I1f+3ve+F9Wl5zdUI/J0uZaYq8k55w899FBUl55Tvvvuu+fKL7/8cvM2rBmQq15LzNPnnnsu\nV95nn30avJ6PP/44ig899NAoTu6Ps9IS8pQzZAAAAACQETpkAAAAAJAROmQAAAAAkBHuQ9ZAw4YN\nKxonrbrqqlE8f/78KE7eB+eEE06I6kaMGNHQJgIVlZ7/mLzvmCT17t27ks1BC7fmmmtGcfI+d6ec\nckpU9/TTT0fxMccckytznzFUWnKObHrOWHq/mI6B5nLSSSdF8c4779yg9SxdujSKDznkkCgeN25c\ng9bb2nGGDAAAAAAyQocMAAAAADJChwwAAAAAMsIcsiowceLEXJk5Y2ip+vTpE8UHHXRQFN96660V\nbA1auocffjiK99xzz1w5PUchnVvJebudO3eO6iZNmtRELYx17do1itdff/0oroZ78aB5bLHFFlHc\nt2/fXPnLL7+M6s4777wo/vTTT5uvYWhV0vcCvfbaa6N40KBBUZy+R24xyXlj6X0zc8aaBmfIAAAA\nACAjdMgAAAAAICMMWayAY489NusmoMZtvPHGufKMGTOiukWLFjXZ87Rrt3yXcfzxx0d1559/ftHH\nXnjhhU3WDrR86duBXH/99VG82267FXzstttuG8XDhw+P4hfXNYgAACAASURBVNmzZ+fK6WE5Cxcu\njOJkTtdn+vTpUfzUU0/lymeeeWZU16FDhyhOby9qx7nnnhvFHTt2zJWnTZsW1T3++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4eT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\nFMU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ENHVe5xzy9JdmNja8t8+YWc8Sy2vJ29QVzexxM/syfL696zBvtW5T673OafU9Q9ZG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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - " plot_examples()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Experiment 1.2 - エポック数を増加させてみる\n", - "\n", - "精度向上のために、単にエポック数を増加させることを試みる。他の設定は全て同一のままである。" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "enable_cupy = False\n", - "n_epoch=5 # Increased from 2 to 5" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: エポック数5で再実験\n", - "\n", - "エポック数が増えたので実験終了にはより長い時間がかかる。" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch iteration main/loss validation/main/loss main/accuracy validation/main/accuracy\n", - "\u001b[J1 600 1.11948 0.639764 0.752867 0.8578 \n", - "\u001b[J2 1200 0.557459 0.465694 0.865017 0.8833 \n", - "\u001b[J3 1800 0.449542 0.400272 0.8829 0.8962 \n", - "\u001b[J4 2400 0.400242 0.365608 0.8927 0.9025 \n", - "\u001b[J5 3000 0.370767 0.342923 0.898517 0.9074 \n", - "Elapsed time: 14.071\n" - ] - } - ], - "source": [ - "model = MLP2()\n", - "train_and_test()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 評価: テスト精度が向上していることを確認\n", - "\n", - "前回と比べ損失の値が低減され精度が向上（90%以上）となっていることがわかる。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: 誤分類が減ったか確認\n", - "\n", - "先ほど誤分類されたNo.46もしくはNo.54が今回正しく分類されているか確認してみよう。" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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/81fSGs6orZ9o74bmz1rNCn+3HRN1/cxsUiJe2cyGmdlUM5tuZn82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\nuoEDB0bxPvvsE8UbbbRRrpzO/3QO33r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mhbZ0n7S3ovJGN7Sb+R9HyYfiX55D4krIufh9d/q0MmaTn5HdCZYZmWk7Rdtk2pdv5K\nqR2l/BGuVyRtrcwXtYXl6vnynda6DeE4SbsUaVuH8PkvV6B+GfmN3T7yZ3VnSOqYqh8l6X+S1g+f\n1yhJV4S6kyQ9HObRLqy7rmG6L8Pn10H+e/VR+Ew6y3c6VpTPv5fDMnWUz+P35Y9U1n1uC+WPBi0V\nXttHqQ2V/M7kDkmPhraPkrRZmZ9bXy35Di0ln+8LJW2gJT8sbpf/TnWW1DOs833C9LuHeOUwjxfk\nf4AtLX/Ucb4Kd8gekd9odw/raJdsm1LtbJZlVhXzNDPtzvI7mGXbap6G6f4kvw2LcqGMz22Qlmzn\n2od1Pl/+h3df+W3ilfJ511l+mz9d0nZheQeGz37p0P5JoR0d5LetC1XPD4fw2tcU9ofy29U+2Tal\n2tmc+5GJqt42tWv4fOvW12mS/qMC+/fwmrckbVCk/j1Jp4RcWyhplVTdMPntxrah7X+VdFeo2zO0\nZXn5/f5GCh1D+Y7F1qH8tnwObpSq2yqU/yFpaPjMviP/W+Ok1OeW3Qf3kv9t0SuzzubI/45ZKGlQ\nmZ9b77Cu24f27yjpc4UORqh7Mnx+nVX698pdku4J020q//0s1CH7k/z3vmf4HHeQz/mkTfUsX3Ms\n80RVL1fvk3R2avodw/RbtMXtqvz26UepeKWwPr61blvLdlX+9/t2qfh7kuaXu211rmkdsk1DA1ZW\nnOQDlDqqFf72gur5Esl/MZ38j6Dl5b+g70g6IdSvKt95Wkr+SNQzkoYWadtxkm4pUv8b+csZJL9x\nWKSwsUwt29Gp+CpJN4byRZIeUtjIZOY7WdJ3JR0u6Sb5De2G8huzf4ZpfqTM0XP5jfMFoTxM0u0l\n1v2Bkh7NJlKZn9tg+c7tnJC8/9KSncgghc5ZavpHJR2XipeS34CvKX96/sVUnckftaivQ3aEpP8U\nadOdJdr9c0lDCn0pWlCu3qQlZ246hFyYo3DUqp757Sbp6SJtP1r+KE17+Q3DXEkHpupHSfpNKj5F\n0mOhfKwyR4lS0z0r6SD5swFPyO9U95I/evZ6mGa7evLhXEl/SX1uz5RY90/Ib/j2lt8o/lJ+o96x\n2OtSub1YS85Gvyrp8FDXO6zntVPTn6NwpCz1t8flN8y95DfgXVJ1f1M9HTL5A9J8LXQAACAASURB\nVDqLJXUv0Kai37fGLnM18zQz7S2ShpVoW2vP0++F/GqvxnXIvgl5OkPSiwpXNmjJwcROqemHSLo4\nM4+3Je0i3zmeqlRnI6yb+n44fL9unRdoU9FtpJq2H6larsrvV34t/536JqzjbYq0bR1J7xWp7xPm\nVXcm4S1JP0/VD5P0f6l4H0lvhfKuWnIWdanMfO+Q9Av53ytvy/9uOFmps2fyZyi+ktQ59bojJI1M\nfW4fFmp7Pcuygvx2b/syp6/L7TnynY43FZ/1cJJ2TcUFf6/I/3BdKGnDVN1lqqdDFpb9C9XTMVHD\nv28NXeZq5urxIe4t33H4Z5i+3rN+av3b1f9J2isVdwjro3cZn9sg1eZ2dZHi78R6YZkLHkDK/mv0\nXRadc+Plj7JlB4bWnSVKmyTfAcr6Ivx/lXNujnNuovyXfp/wHtOccxOcc4udcx9IOlv+aEEh+6j4\n+LEfyx/1knPuI/nLmAZmppmWKn8uf62w5M8ovSfpiTDQMr3co+U/2J1DeZR8MuwSYsl3ZLYLg1Pn\nmNkcSUfJb8TrTC7U8DAw9SpJpxdZvlLucc4t75z7jnNuV+fcy0Xee01J16XaOkt+B9lT/jNOpnc+\n+wq1fQ35L2eDmVkP+eU9rzGvr1ONXA31E51ztzjnFjrn7pJfJzsWaFapXB0o/3l945z7Uv7ygXJz\n9Q75DsldZjbVzK4ys7rxMeXmao9Mrv5a/kdFnYK5GnwhvwF71Dn3tfx4uhXljyyXY2rI1RWcc1uG\n9ZmWfv81JR2aaW8f+Q5WD0mznXOfpabPfuZ11pA0yzk3u8w2ZjVpmauUp5IkM1tG0qGSSo3JbbV5\namZLSfqzpDOcc98UWcZiXgx5upJzbnvn3FOpuk/DOqmzpqQzM+1dQ/7z7SHpo7AtrVMsTyc1ps3N\ntB+pVq4eJ39QcxP5AxxHSxoe9gv12Uf+QGIhAyU94ZaMl/ybysxV59y/5C9f+pOk6WZ2U+qmDelc\nfUZxrj7rnFss/9l3kPRx6rMfKn+mrE6pbWrCOTdL/rv7UAPH0azknOvunNvIOXd9pi67TS30e2Vl\n+Y5CevpCubqSfIeiUb8B0hq7zFXK1Vsl/V3+s39D0sjw90I37Wi129VggfxZuTp15fklXlenprar\nQX3LvCDz3kU19bb3F0g6QXECT5VfQWm95E+NZr0t39tNN7hY450KtDkk3C7yp93rq99Bvsd6brjz\nyzT5IwFHlvPlds7Nd86d6ZxbW34w8C/MbLdQXZfkO4XyaH07ySdLGh2SrO7fss65n5S57OvJH315\nNrT9AUmrhWXpXar9Zci+92T5yynS7e3snHte/hLENeomDDcGWUP1myx/yruc98zaVv5H9YSwzNdJ\n2jYsc0NvU17pXH1d316eYstXcINsZqvLH5E9OpWrh0jax4rcDS95U98hvNA5t7H8kb3+8gcjpG9v\nkAvl6geZz34551z6R32pz66+9dGc0vOeLH+GLN3eLs65K+Rztbul7rQl/xnXZ7KkFcxs+RLvV0hz\nLHO1tqkHyh9kGVWiPa05T7vKnyG7O7R9XPj7FDPbqVT7y1DfNvXSTHuXcc79XT5Pe2ZuslQsT3sV\n2G+Vyr/m3I9UOle3lL98/Z1wUPYx+fW0Q4H2FMvVzpIOk7RLKld/LmkLM9uiwPwizrnrnXNby1+1\ns778GXDJ5+NO8vk6Wn6M1I76dq5+Jd8hqvvsuzrnNimw7OVoL9+hK3o3vwbIblML/V75VP4MRnqf\nXyhXZ8hfJrdOifcrV2OXuaK5GvLzAudcb+fc6vKdso8KzEtq3dtVyS9/+nu1haRPnHMzS7W/DC1x\nuyrVv8xvlPG6RJM6ZM659+THW6SPto2QtL6ZHWlm7c3sR/IbsOH1vP7z8PqzzWy5kIgn1k1r/pan\na5q3hvwdlx4q0Jw+8qdc5xWoHyjfWdtYfkO/pfyp7M7ylxgVZWb9zWzd8MHOlT89uThUj5Y/5dvZ\nOTdF/rTwXvJHx/8Tphke1ssAM+sQ/m1jZuWeMRgvvwGsa/vx8tcAb6lwtML8bV4HlTm/Um6U77xu\nEubdzcwODXWPSNrEzA4KyXu64jN9acPld/g/M7Olw+e8Xaj7RFLvcKS6Po/K/3ioW+bz5dfnlq7E\nbcqzKp2r8uMDupvZQDNrZ2aHyN9l77nsvMxsLUlLO+cK3TVygPzlDxukln19+aNtR5Ra1vC92Sx0\nWufJX15Sl6vPh/luK3+5xhsKR0Plj+5K/pLb+WZ2jpl1DsuzqTXsTk93StrezH4Q2vEz+Z3zm6GN\nw8xsWAPmV+q9fmhme4a2djJ/m/rVnXOTJL0k6ULzt8TuI3/3o29xzn0sn3N/NrPu4Tu6c6j+RNKK\nZtatRDsKLnM5qpCndQbKXyJdcEfTBvJ0rvwR1Lq21/3g2Fr+hg51t0gfXOb8SrlZ0slmtl3Yp3Ux\ns33NbDn5S6W+kXR6yLuD5Je9PmPlf2hcEebRyczqzsR/Iml183f8rE/J/Ui5qpCr4yTta/5REmZm\nu8vn1/jsvMyf8d1WS85MZB0gv89O7/83kt9X/7jAa9Lz3yZ8bh3kb7r1pUKuOufelT+DcrR8J2ae\n/Do9WOFHbti2PCHp92bW1cyWMrN1zGyXUu+dasNBZrZBeO3K8uNi/xPOHNU9RmZUufMroeDvlbDv\nfUDSYDNbxvzdb7NnbyT5jor82aNrzN/mvZ35RxMtLd+xW6zCB2xLLnO5qvBbdYXweVpYH9dIuigs\nf3aZWvt2VfJjvI8zs43NH+D8jfwlwXVtbG3bVckv8y/MrKf5s/hnKrXM5WiOB0NfJD8ATpIUesD9\nQ2Nmyl9m2N+FywTM7EYzuzH1+p/Kn+qbKr/y/ib/BZb8YL3n5TeAz8vf2ajQpRYFb3dvZp3kj47d\n4PxlkHX/PpA/vVvvxiRjPUlPhba+IOnPzrmRYZnfCX9/NsTz5MeOPFfXcXDOzZe/E9/hYVmnacnA\nxHqZf8DyG+H136TbLn90e3GIF4VEWVH+etsmc879I7TvLjObJ78T3DvUzZC/3OkK+c94PdXT8QjT\nzpe/ycIPwzK/K995laR7w/8zzeyVsMy/tvCMOOfcV5llnitpYSg3RsVyNewg9pO/S+dc+csj9nf1\n30681KMZBsrn17TM8t+o8nJ1VflBxvPkOwOj5fNczl+694qkN5y/rE5hWSY556aHaRaF9bKl/ODl\nGZL+T/7a+HqZf8Bicqtp59zb8j9QbpQfs7C/pP1S77mGCuRMQznnJof5/1p+Jz9Z/uh13fbtSPkd\nziz5I6W3F5ndAPkd2FvyYy1/Ft7jLflLUt43f1lEj0Ysc7kquU2V+ef47FpiPUitPE+dl2533S3g\nP6lQnr4kf5T+j/L58Z782ASF9zsoxLPkx/A8UGA+i+S3p+vK3zRiSphe8mOD35A0zczq8qPs/Ugj\nFquSuXq7/M0jRsnnyPXyV228VU87dpW/VfaX9dRJPh//4vxzB9PL/0dJR1npq2S6yv/wmy1/ydNM\n+WEMdUZLmhm2RXWxyedwnR/LX3o5IcznPvkrQOplSx5aX3dEv6f8bdLny/8WWix/prtOc+Zqqd8r\nP5W/RG6a/I/OvxSZ3VmhvePk8+1K+XF4n8vf8fq5sE3dvhHL3BCVzNWVtOQO2Y9KutU5d1OBdrTq\n7WqYx2Pyl0aPlN9GT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v2nnnWUkqsPh2WiM8Pmj/JeZmbP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\nHLc6fwnzdK5eK+kkq3+UTBf5g5Tz5Ic9zZWfxlBrnKS54T2ujU0+h2udI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vJHWR/w24y8xWyLcwM1tDUhvn3Ed56peRtI+kWZIObqR1aHQF8qXc35m0DUOuDpY0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\nnKTj6vn7KZJeC+VRkn6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PJH2emu90SbeE8tmSxhRZv2fkN367yG8YT5bfAWlf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\nsMMOi+refvvtRntd1K6TTz45igcOHBjF6XHjjeWKK65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K99rPlDSlAau9yzm3oqSukp6T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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_examples()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Experiment 1.4 - レイヤーを追加する\n", - "\n", - "今度はレイヤーを増やした異なる多層パーセプトロンを用いる。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 定義: 3層の多層パーセプトロン\n", - "\n", - "以下のMLP3は3つの線形レイヤーでつながれた同じ100ノードからなる2つの隠れユニットを持つ。順方向計算でtanhを活性化関数を用いるのも同様である。" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# 3-layer multi-Layer Perceptron (MLP)\n", - "class MLP3(Chain):\n", - " \n", - " def __init__(self):\n", - " super(MLP3, self).__init__(\n", - " l1=L.Linear(784, 100),\n", - " l2=L.Linear(100, 100), # Additional layer\n", - " l3=L.Linear(100, 10)\n", - " )\n", - " \n", - " def __call__(self, x):\n", - " h1 = F.tanh(self.l1(x)) # Hidden unit 1\n", - " h2 = F.tanh(self.l2(h1)) # Hidden unit 2\n", - " y = self.l3(h2)\n", - " return y" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 準備: 分類モデルのベースをMLP3とする" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "enable_cupy = False\n", - "n_epoch=5" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Execution: 新しいMLP3ベースのモデルを訓練する" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch iteration main/loss validation/main/loss main/accuracy validation/main/accuracy\n", - "\u001b[J1 600 1.08194 0.589727 0.749283 0.8667 \n", - "\u001b[J2 1200 0.503002 0.415328 0.874433 0.8944 \n", - "\u001b[J3 1800 0.398412 0.356024 0.89295 0.905 \n", - "\u001b[J4 2400 0.353019 0.323721 0.903033 0.9116 \n", - "\u001b[J5 3000 0.325886 0.303285 0.909017 0.9162 \n", - "Elapsed time: 15.903\n" - ] - } - ], - "source": [ - "model = MLP3() # Use MLP3 instead of MLP2\n", - "train_and_test()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 評価: MLP2とMLP3の精度を比較する\n", - "\n", - "MLP3は高い表現力によって、MLP2よりも低い損失と高い精度を達成している。一方、内部パラメータも増えるため、訓練に要する時間はわずかに増加する。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: MLP3ベースの計算グラフを表示\n", - "\n", - "新しい計算グラフは3つのLinearFunctionと2つのTanh活性化関数を含む。" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "metadata": { - "image/png": { - "height": 600, - "width": 600 - } - }, - "output_type": "display_data" - } - ], - "source": [ - "display_graph()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: 誤分類サンプルはもうないか？\n", - "\n", - "現在のモデルは先ほどと同様の60サンプルであればほぼ完璧に予測できることが確認できる。" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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uTnTOTUv8148q/vdErhZBri5QrlwN61pS0gWSflfCshyrlqDOcrXl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\namJNIFe9SuXpMsssE8XJ29xL0nrrrZc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QR0l6+eWXozg97HDChAktamc5kKtepfI0OVRQ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\nbdtD0j8L1B9f97nJ73DNk3Roon60pIsT8ZmSng7lU8L3MaC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rrPbaH80aClwmv7KLWhkt+Z3CHp0dD2UZI2K/Nz66sl36Gl5PN9oaQNtOSHxe3y36nO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\nqpdXnm633XZJ+Ze//GVU17Vr1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cuOgK3dyOvc7PtUM7NQX9dBrmrO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\nrciJmT0m6RrnXKkdc9Uyf0b0VfmBx4vzbg8KI0/J09bCzK6V9Jpz7tq82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9HKaJjgqGIxIjzOzFcETuGQtHuM2so5ndaf4o6oywXitYOMKaWMazZvZqIn6h7qie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\nyJ+avzf8W2wMWYh7S/q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4T8+RvyzqR/KXmf475MOKLThPNw1tbauGd8gqnavL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\nplH81ltvNXjZaJlWWGGFKE6Pt3nooYei+MYbb2zQ62y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elmabmyVPnXOXpfen8p+rUc65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\njx8ifxRlkvzZkH1TdX3kk+ib8P//VHjIXsHL3YcfSQdKutb5YZB1/z6QP8V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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_examples()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Chainerの特長 - (1) デバッグのしやすさ\n", - "\n", - "複雑なニューラルネットワークのデバッグは面倒である、何故なら一般のフレームワークはモデル定義や実装のどこが間違っているのか、直接的には教えてくれない事が多いからだ。しかしChainerでは普通のプログラムをデバッグするかのように行うことができ、順方向計算中の型チェックもサポートしている。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 定義: 予めバグを埋め込んだMLP実装\n", - "\n", - "以下のMLP3Wrongは、MLP3に3つのバグをわざと埋め込んだものである。実行しながら1つ1つ解決していこう。" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# Find three bugs in this model definition\n", - "class MLP3Wrong(Chain):\n", - " \n", - " def __init__(self):\n", - " super(MLP3Wrong, self).__init__(\n", - " l1=L.Linear(748, 100),\n", - " l2=L.Linear(100, 100),\n", - " l3=L.Linear(100, 10) \n", - " )\n", - "\n", - " def __call__(self, x):\n", - " h1 = F.tanh(self.l1(x))\n", - " h2 = F.tanh(self.l2(x))\n", - " y = self.l3(h3)\n", - " return y\n", - " \n", - "enable_cupy = False\n", - "n_epoch=5" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: スタックトレースを見るとエラー箇所が判る\n", - "\n", - "以下を実行するとエラーが発生するが、スタックトレースの表示を下まで追うとそれが順方向計算においてどのソースコードのどの行で発生しているかがわかる。これはChainerのDefine-by-Runが、計算グラフを順方向計算中に直接構築しているため可能なことである（Section 2で説明する）。\n", - "\n", - "3つのバグを修正し終わると、MLP3Wrongは先ほどのMLP3と一致するはずである。" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "ename": "InvalidType", - "evalue": "\nInvalid operation is performed in: LinearFunction (Forward)\n\nExpect: prod(in_types[0].shape[1:]) == in_types[1].shape[1]\nActual: 784 != 748", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mInvalidType\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mMLP3Wrong\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# MLP3Wrong\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mtrain_and_test\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m\u001b[0m in \u001b[0;36mtrain_and_test\u001b[0;34m()\u001b[0m\n\u001b[1;32m 20\u001b[0m ['epoch', 'iteration', 'main/loss', 'validation/main/loss',\n\u001b[1;32m 21\u001b[0m 'main/accuracy', 'validation/main/accuracy']), trigger=log_trigger)\n\u001b[0;32m---> 22\u001b[0;31m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 23\u001b[0m \u001b[0melapsed_time\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0;32mreturn\u001b[0m \u001b[0mLinearFunction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mW\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 107\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 108\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mLinearFunction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mW\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/.pyenv/versions/anaconda3-2.5.0/envs/chainer2/lib/python3.6/site-packages/chainer/function.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *inputs)\u001b[0m\n\u001b[1;32m 186\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 187\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mconfiguration\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype_check\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 188\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_data_type_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0min_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 190\u001b[0m \u001b[0mhooks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mchainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_function_hooks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/.pyenv/versions/anaconda3-2.5.0/envs/chainer2/lib/python3.6/site-packages/chainer/function.py\u001b[0m in \u001b[0;36m_check_data_type_forward\u001b[0;34m(self, in_data)\u001b[0m\n\u001b[1;32m 290\u001b[0m \u001b[0min_type\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtype_check\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_types\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0min_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'in_types'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 291\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mtype_check\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_function_check_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 292\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcheck_type_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0min_type\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 293\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 294\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcheck_type_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0min_types\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/.pyenv/versions/anaconda3-2.5.0/envs/chainer2/lib/python3.6/site-packages/chainer/functions/connection/linear.py\u001b[0m in \u001b[0;36mcheck_type_forward\u001b[0;34m(self, in_types)\u001b[0m\n\u001b[1;32m 21\u001b[0m \u001b[0mx_type\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0mw_type\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m \u001b[0mtype_check\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx_type\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mw_type\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 24\u001b[0m )\n\u001b[1;32m 25\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtype_check\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0meval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_in\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/.pyenv/versions/anaconda3-2.5.0/envs/chainer2/lib/python3.6/site-packages/chainer/utils/type_check.py\u001b[0m in \u001b[0;36mexpect\u001b[0;34m(*bool_exprs)\u001b[0m\n\u001b[1;32m 512\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mexpr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbool_exprs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 513\u001b[0m \u001b[0;32massert\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTestable\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 514\u001b[0;31m \u001b[0mexpr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexpect\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 515\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 516\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/.pyenv/versions/anaconda3-2.5.0/envs/chainer2/lib/python3.6/site-packages/chainer/utils/type_check.py\u001b[0m in \u001b[0;36mexpect\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 470\u001b[0m raise InvalidType(\n\u001b[1;32m 471\u001b[0m \u001b[0;34m'{0} {1} {2}'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlhs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrhs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 472\u001b[0;31m '{0} {1} {2}'.format(left, self.inv, right))\n\u001b[0m\u001b[1;32m 473\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 474\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mInvalidType\u001b[0m: \nInvalid operation is performed in: LinearFunction (Forward)\n\nExpect: prod(in_types[0].shape[1:]) == in_types[1].shape[1]\nActual: 784 != 748" - ] - } - ], - "source": [ - "model = MLP3Wrong() # MLP3Wrong\n", - "train_and_test()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Experiment 1.5 - 自分のモデルを作ってみよう\n", - "\n", - "それではあなたの番だ。モデルを自分で変更してさらに高い精度を目指してみよう。\n", - "\n", - "エポック数を増やして時間をかけるのは単純過ぎる解決策なので、エポック数10以下、かつ訓練時間100秒以内という制限の中で95％を超える精度を達成してみてほしい。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 定義: オプションを駆使して新しいモデルを作る\n", - "\n", - "ニューラルネットワークモデルをチューニングしてパフォーマンスを向上させよう。以下の様なオプションがある。\n", - "\n", - "* エポック数を増やす\n", - "* 各ユニットのノード数を増やす\n", - "* レイヤー数を増やす\n", - "* 異なる活性化関数を用いる" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# Let's create new Multi-Layer Perceptron (MLP)\n", - "class MLPNew(Chain):\n", - " \n", - " def __init__(self):\n", - " # Add more layers?\n", - " super(MLPNew, self).__init__(\n", - " l1=L.Linear(784, 100), # Increase output node as (784, 200)?\n", - " l2=L.Linear(100, 100), # Increase nodes as (200, 200)?\n", - " l3=L.Linear(100, 10) # Increase nodes as (200, 10)?\n", - " )\n", - "\n", - " def __call__(self, x):\n", - " h1 = F.relu(self.l1(x)) # Replace F.tanh with F.sigmoid or F.relu ?\n", - " h2 = F.relu(self.l2(h1)) # Replace F.tanh with F.sigmoid or F.relu ?\n", - " y = self.l3(h2)\n", - " return y\n", - "\n", - "enable_cupy = False # Use CuPy for faster training\n", - "n_epoch = 5 # Add more epochs?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: 95%以上の精度をもつモデルができただろうか" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "epoch iteration main/loss validation/main/loss main/accuracy validation/main/accuracy\n", - "\u001b[J1 600 1.29092 0.575158 0.695067 0.8642 \n", - "\u001b[J2 1200 0.476152 0.385807 0.87505 0.896 \n", - "\u001b[J3 1800 0.374776 0.334429 0.895567 0.907 \n", - "\u001b[J4 2400 0.334249 0.307578 0.905117 0.9132 \n", - "\u001b[J5 3000 0.309359 0.286728 0.911967 0.9208 \n", - "Elapsed time: 15.628\n" - ] - } - ], - "source": [ - "model = MLPNew()\n", - "train_and_test()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: もう失敗しない？\n", - "\n", - "95%以上の精度があれば、おそらく誤判別は見当たらないはずである。" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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uTnTOTUv8148q/vdErhZBri5QrlwN61pS0gWSflfCshyrlqDOcrXl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\namJNIFe9SuXpMsssE8XJ29xL0nrrrZc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QR0l6+eWXozg97HDChAktamc5kKtepfI0OVRQ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kCuerWwTh07dmwU77LLLrny008/HdW1a9cuipOPWDjkkEOiuvS4ipdeeqlR7WwO5OlytZCr5dh2\n222jOJnnnTp1iur69+8fxclbglcLctWrxTzdfPPNc+Xnnnsuqis0huxf//pXFKfXoenHQjTU+PHj\nozg97rgctZCnnCEDAAAAgIzQIQMAAACAjNAhAwAAAICM8ByyFoTnjNW2u+++O4r32GOPXHnNNdcs\n+Nrkc3LSz3P67W9/G8UfffRRFH/zzTe5cvqZZf369cv7nu3bt4/iDTbYIIqrcQwZasehhx4axUOG\nDMmV+/TpE9VdeeWVUXzJJZc0X8PQIqVzJjmmJj2+pimttNLy4+I8Mw/NqWvXrlE8fPjwXLnYc8du\nv/32XPnss8+O6hYuXNgErQNnyAAAAAAgI3TIAAAAACAjdMgAAAAAICOMIatyu+22W8nTpp/bg9ry\n/vvvR/ExxxxT8ms/+OCDXPmZZ56J6g477LAo7tu3bxRvueWWufI222xT8ntOmzYtit95552SXwsU\nM2fOnChOj4Us5I033mjq5qCFSY+XveCCC6J4xIgRDZ73hhtumCv/5Cc/iep23333KO7QoUOuXAvP\nhUXt+tWvfhXFBx98cN5p0886vf/++3Nlxow1D86QAQAAAEBG6JABAAAAQEa4ZLHKDB06NIoHDRpU\n8mu57X1tS3/3ydvK/+hHP4rqunTpEsXJyw6Tt6dtasnLFNOX086bN6/Z3hcAGit5i/kTTjghqlt5\n5ZWjeMmSJbnyWmutFdV16tQpigcPHpw37t27d1SXvizxq6++ypVvuOGGqC59GTtQjkMOOSSKjzvu\nuLzT3nHHHVGcvERR4jLFSuAMGQAAAABkhA4ZAAAAAGSEDhkAAAAAZMRq4TarZlb9jWwi5X4fyXFj\n6dvpVopzzjJ54yrUXLnaq1evKD722GOjuEePHrnyHnvsUda8zZZ/fen8e+ihh6I4OcahFseMkate\nS1+n3nPPPbly+vERAwcOjOKXXnqpIm0qB3m6XFPmanIs2PTp04u9b67cmP2k5557LopHjRoVxf/4\nxz9y5YkTJzb4fbJCrnrVsE5NP9Im/fiPzp07R/Hrr7+eK++yyy5RXXJsY0tQC3nKGTIAAAAAyAgd\nMgAAAADICB0yAAAAAMgIzyGrccOGDcu6CaiA5PO/JOnaa6/NqCVA9Zs8eXKu/Nlnn0V1yXETaF1m\nz56dK48ePTqq22effUqez4gRI6J48eLFUXzvvffmyuPGjSuniUCDDRgwIIrTY8ZmzZoVxeecc06u\n3NLGjNUizpABAAAAQEbokAEAAABARrhksQo8++yzDX5t8rb3AABp0qRJuXL37t2jui222CKKJ0yY\nUJE2IXtLly7Nlffff/8MWwI0jcMOOyxX/stf/lJw2nPPPTeKX3jhhWZpExqGM2QAAAAAkBE6ZAAA\nAACQETpkAAAAAJARxpBlYOjQoVE8aNCgkl/LmDEAKN2SJUuieMGCBRm1BAAa55BDDoniu+++O1du\n3759VJe+zT2P/KhunCEDAAAAgIzQIQMAAACAjNAhAwAAAICMMIasyqXHjO2+++7ZNAQAakSvXr1y\n5Tlz5kR17777bqWbAwAN0q1btyi+//77o7ht2+W78el1XfpZe//5z3+auHVoSpwhAwAAAICM0CED\nAAAAgIzQIQMAAACAjDCGrMoNGzYs6yYAQE254oor6i0DQC0xsyhOjhlLe+SRR6J4woQJzdImNA/O\nkAEAAABARuiQAQAAAEBGzDmXdRuKMrPqb2Qr5pyz4lO1DuRqdSNXPfK0upGny5Gr1Y1c9cjT6lYL\necoZMgAAAADICB0yAAAAAMgIHTIAAAAAyEhNjCEDAAAAgJaIM2QAAAAAkBE6ZAAAAACQETpkwP9n\n777jpajOP45/HymCKIhiNKCIvbcYSxQVNHbsJTYCdqOxJBqNMVHsLTGWJIj+NFiS2KMRsQdQLAE1\nFuxGURAR6WBFOL8/zrnDnPFuuW1n997P+/XixXnumZ09M/vszJ6ZOTMAAABATuiQAQAAAEBO6JAB\nAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEA\nAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAA\nAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAA\nQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABA\nTuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO\n6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7o\nkAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQ\nAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JABAAAAQE7okAEAAABATuiQAQAAAEBO6JCh\nWZjZaDM7JpQPN7PH8m4TUB8zG2Jmt4dybzObb2bt8m4XkGZmw83solDezszezrtNQH3MbLCZjU3F\n881s9TzbBNSnmrerDe6QmdlEM5tmZl1SfzvGzEY3thFmdqqZfWBmn5vZm2a2dvh7PzNbFL7cdf8G\nlZjXj8zs2SL1S4f5PNzY9ubNzDqG9TS5Aa8ZYmYLwrLPNrNnzexHLdE+59zfnHO7lNmm28uZp5kt\nZ2afpTf6ZbymYrka6lYws7+b2Rwzm2Vmfysxr57FPkPz3jezNxrb3jyZ2epmNsLM5pnZdDO7oszX\npb/388zsbTM7siXa6Jz7yDm3tHNuYRltKvp9M7NBZvaimc01s8lmdoWZtS/VhgpvU3+T2Z5+GdZ1\njyLzatV5WsfMnjQzV85nFqYfbGYLw3qca2Yvm9mAlmibc+5p59w6ZbaprG1kI/cjld6mnhzq5prZ\nC2bWt8S8OoZtzdJFphkdts9LNrbNeTCz/mb2Wth/zzCzf5pZrzJf2yfkdt33fqKZ/bql2hq2qe+X\n2aaC37cmLnMlt6tmZueY2UchV+8ws64l5tWqt6tm9gszmxrWx83lft9qdbsaPq/LQ57OCGVrSHsa\ne4asnaRTG/naiPmzKkdL2lPS0pIGSJqemmRK+HLX/bulxCz3lDSySP0Bkr6WtLOZrdSEprcoK37E\n/leSPmvEbO90zi0taQVJYyXdV1/ClPuDpMIul/RmI15XyVy9T9JUSb0lfU/S70vMcg9JjxSp3z7M\nZ3Uz26KRzW5x9eWLmXWU9Likf0taSdLKksrqfAdTQq52lXSWpBvNbP1y3jtHS0k6TVIPSVtJ2knS\nGWW+tiJ56py7JL09lf9ejXbOTS84w1acp6m6wyV1aMRsnwvrcVlJN0m6y8y6N+S9c9TY/UhFctXM\ntpJ0maQDJXWTX7//LLFv3F7Sy865+QXer4+k7SQ5SXs3xzK0hAL58oakXZ1zy0rqKeldSUMbOOtl\nQ74eKulcM9utzPfOS1OXuVL7/59KGihp29DOzpKuKzHLVrtdNbNdJf1afh+4qqTVJZ3fgNnW4nb1\nOEn7StpE0saS9pJ0fIPm4Jxr0D9JE+VX9Ez5L7ckHSO/U6+bZhtJ4yXNCf9vU2BeS0iaJGmnAvX9\nJE1uYPtekvSDIvX/lnRxmO6MepbtDEmvhrbfKalTqOshaYSk2WHZnw7tP1LSg6l5vCvp7lQ8SdKm\nobyu/I/UmZLelnRwarrh8huakZI+l/TjAu1fTb5jsntD1o2kIZJuT8UbyO+UekgaLOkZSX+UNEPS\nRWGao8J7zZL0qKRVU6/fWdJbYT39SdIYSceEusGSxmbeq265P5X0G0m7SfpG0gJJ8yW9UqTt20h6\nLqzrsQ1Y5krm6i7h/do1oH33Sdq/SP3Nkv4WpvtTpm60pAvD5zZP0mOSeoS6TvKdnxkhX8dLWlFS\nf0mvpebxuKTxqfhpSfuGck9J98r/YPtA0imZXLonvMfcus89077jJD3dkO9use99aMeBkvqEvD1a\n0keSngr1W0t6NizvK5L6Zb4zY8J6ejzk6+2hrm5+7UO8nKS/Spoin/f3S+oi6UtJi0KuzpfUs4zl\n+KVS24ZqyNPMtCbpfUmD2mqehum6SXon5FCSC2Wsv8GKt3Ndwut/WJfD8gcTpkq6LUwzQNLLYXmf\nlbRx6vWbye+X5snve+7Q4m1xP6W+E5JWCev7s7D+/iRpPUlfSVoYcnR2kbY3dj9SsVyV9BNJ4+pZ\nv98v0r6rJP2ySP25IRevkjQiUzdc0p8lPRQ+g/9IWiP1XfmjpGkhl16TtGFYj7MlLRGmu1HStNQ8\nb5N0WirPbpL0iaSPJV2ksL9QgX1wkeVYUtKlkt4o83Prk83t8NmcEcpO0knyv18+CH8r9ntleUn/\nCutinPx3PP1dcJLWDOXOkv4g6cOQE2PD3z4K09VtU3/UzMtcyVy9R9KvMvP9StJSRdrXarerkv4u\n6ZJUvJOkqWV+boNVg9vV8L7HpeKjJT1fzjInr2nIxKkk/3FodN1CJUku/4NmlvzRgvbyR2JmSVq+\nnnn1Div61JDsH8j3ous2bv3kf7R/Gur+KKlLkbZ9X35DZwXqV5X/UbW+pNMlvVrPso0Lybic/A7r\nhFB3qaTr5Y+idpA/ymbyPf/Z8l/YnvIbncnhNauHZV8iJNUk+U5F+5Ak0yWtH6YdLr9R2DZM30nS\nYfW0cYSk/bKJVMbnNkSLf4QuKelKSR+lvgDfSjo5tK2zpH0kvReSsb2k30p6NkzfQz65Dwzr4hfh\n9d/pkElaRn4HdHpYpmUkbZVtU6qdv1ZqRyl/hOslSZsr80Wtslw9V77TWrchHC9phyJt6xA+/2UK\n1C8lv7HbQ/6s7nRJHVP1oyX9T9La4fMaLemyUHe8pAfDPNqFddc1TPdV+Pw6yH+vPg6fSWf5Tsfy\n8vn3YlimjvJ5/L78kcq6z22B/NGgJcJr+yq1oZLfmdwm6eHQ9tGSNirzc+unxd+hJeTzfYGkdbT4\nh8Wt8t+pzpJ6hXW+R5h+5xCvEObxnPwPsCXljzrOU+EO2UPyG+3uYR3tkG1Tqp3RMtezHPfXfSbV\nkqeZabeX38Es3VbzNEz3Z/ltWJQLZXxug7V4O9c+rPN58j+8+8lvEy8PeddZfps/Tf7saTtJg8Jn\nv2Ro/4ehHR3kt60LVM8Ph/DaVxT2h/Lb1b7ZNqXa2Zz7kYmq3Da1a/h869bXyZL+qwL79/CatySt\nU6T+PUknhlxbIGnFVN1w+e3GlqHtf5N0R6jbNbRlWfn9/noKHUP5jsXmofy2fA6ul6rbLJT/KWlY\n+My+J/9b4/jU55bdB/eW/23RO7POZsv/jlkgaXCZn1ufsK7bh/ZvK+kLhQ5GqHs8fH6dVfr3yh2S\n7grTbSj//SzUIfuz/Pe+V/gct5HP+aRN9SxfcyzzRFUuV++RdGZq+m3D9Ju0xe2q/PbpJ6m4R1gf\n31m3rWW7Kv/7fatU/ENJ88rdtjrXtA7ZhqEBKyhO8oFKHdUKf3tO9XyJ5L+YTv5H0LLyX9B3JB0b\n6leS7zwtIX8k6ilJw4q07WhJNxWp/6385QyS3zgsVNhYppbtiFR8haTrQ/kCSQ8obGQy850k6QeS\nDpF0g/yGdl35jdm/wjQ/UeaMgfzG+bxQHi7p1hLrfj9JD2cTqczPbYh853Z2SN5/a/FOZLBC5yw1\n/cOSjk7FS8hvwFeVPz3/fKrO5I9a1NchO1TSf4u06fYS7f6FpKGFvhRVlKs3aPGZmw4hF2YrHLWq\nZ347SXqySNuPkD9K015+wzBH0n6p+tGSfpuKT5T0SCgfpcxRotR0T0vaX/5swGPyO9Xd5I+evRqm\n2aqefDhb0l9Tn9tTJdb9Y/Ibvt3lN4q/kt+odyz2ulRuL9Lis9EvSzok1PUJ6zD7NpwAACAASURB\nVHn11PRnKRwpS/3tUfkNc2/5DXiXVN3fVU+HTP6AziJJ3Qu0qSHft6PkvxP1fv555Wlm2pskDS/R\nttaepz8M+dVejeuQfRvydLqk5xWubNDig4mdUtMPlXRhZh5vS9pBvnM8RanORlg39f1w+FHdOi/Q\npqLbSDVtP1KxXJXfr/xGfjvybVjHWxRp2xqS3itS3zfMq+5MwluSfpGqHy7p/1LxHpLeCuUdtfgs\n6hKZ+d4mfzZ8pfB5XiHpBKXOnsmfofhaUufU6w6VNCr1uX1UqO31LMty8tu9rcucvi63Z8t3Ot5U\nfNbDSdoxFRf8vSL/w3WBpHVTdZeong5ZWPYvVU/HRA3/vjV0mSuZq8eEuI98x+FfYfp6z/qp9W9X\n/ydpt1TcIayPPmV8boNVm9vVhYq/E2uFZS54ACn7r9F3WXTOTZA/ypYdGFp3lijtQ/kOUNaX4f8r\nnHOznXMT5b/0e4T3mOqce8M5t8g594GkM+WPFhSyh4qPH/up/FEvOec+lr+MaVBmmqmp8hfy1wpL\n/ozSe5IeCwMt08s9Rv6D3T6UR8snww4hlnxHZqswOHW2mc2WdLj8RrzOpEINDwNTr5B0SpHlK+Uu\n59yyzrnvOed2dM69WOS9V5V0TaqtM+V3kL3kP+Nkeuezr1DbV5H/cjaYmfWUX95zGvP6OpXI1VA/\n0Tl3k3NugXPuDvl1sm2BZpXK1UHyn9e3zrmv5C8fKDdXb5PvkNxhZlPM31yibnxMubnaM5Orv5H/\nUVGnYK4GX8pvwB52zn0jP55uefkjy+WYEnJ1OefcpmF9pqXff1VJB2Xa21e+g9VT0izn3Oep6bOf\neZ1VJM10zs0qs431MrN95c+o7+6Kj82KVChP69q4lKSDJJUak9tq89TMlpD0F0mnOue+LbKMxTwf\n8rSHc25r59wTqbrPwjqps6qk0zPtXUX+8+0p6eOwLa1TLE8/bEybm2k/UqlcPVr+oOYG8gd1jpA0\nIuwX6rOH/IHEQgZJeiz1nfy7ysxV59y/5S9f+rOkaWZ2Q+qmDelcfUpxrj7tnFsk/9l3kPRJ6rMf\nJn+mrE6pbWrCOTdT/rv7QAPH0fRwznV3zq3nnLs2U5fdphb6vbKCfEchPX2hXO0h36Fo1G+AtMYu\nc4Vy9WZJ/5D/7F+XNCr8vdBNO1rtdjWYL39Wrk5deV6J19Wpqe1qUN8yz8+8d1FNve39eZKOVZzA\nU+RXUFpv+VOjWW/L93bTDS7WeKcCbQ4Jt4P8aff66reR77GeHe78MlX+SMBh5Xy5nXPznHOnO+dW\nlx8M/Esz2ylU1yX5dqE8Rt9N8kmSxoQkq/u3tHPuZ2Uu+1ryR1+eDm2/T9L3w7L0KdX+MmTfe5L8\n5RTp9nZ2zj0rfwniKnUThhuDrKL6TZI/5V3Oe2ZtKf+j+o2wzNdI2jIsc0NvU97Sufqqvrs8xZav\n4AbZzFaWPyJ7RCpXD5S0hxW5G17ypr5DeL5zbn35I3sD5A9GSN/dIBfK1Q8yn/0yzrn0j/pSn119\n66M5pec9Sf4MWbq9XZxzl8nnandL3WlL/jOuzyRJy5nZsiXer6AwSP5GSXs5514r5zUZldqm7id/\nkGV0ifa05jztKn+G7M7Q9vHh75PNbLtS7S9DfdvUizPtXco59w/5PO2VuclSsTztXWC/VSpPm3M/\n0tK5uqn85evvhIOyj8ivp20KtKdYrnaWdLCkHVK5+gtJm5jZJgXmF3HOXeuc21z+qp215c/6Sz4f\nt5PP1zHyY6S21Xdz9Wv5DlHdZ9/VObdBgWUvR3v5Dl3Ru/k1QHabWuj3ymfyZzDS+/xCuTpd/jK5\nNUq8X7kau8wtmqshP89zzvVxzq0s3yn7uMC8pNa9XZX88qe/V5tI+tQ5N6NU+8tQjdtVqf5lfr2M\n1yWa1CFzzr0nP94ifbRtpKS1zewwM2tvZj+R34CNqOf1X4TXn2lmy4REPK5uWvO3PF3VvFXk77j0\nQIHm9JU/5Tq3QP0g+c7a+vIb+k3lT2V3lr+sqigzG2Bma4YPdo786clFoXqM/Cnfzs65yfKnhXeT\nPyPw3zDNiLBeBppZh/BvCzMr94zBBPkNYF3bj5G/BnhThaMV5m/zOrjM+ZVyvXzndYMw725mdlCo\ne0jSBma2f0jeUxSf6UsbIb/DP83Mlgyf81ah7lNJfcKR6vo8LP/joW6Zz5Vfn5u6Ercpz2rpXJUf\nH9Dd/K3P25nZgfJ3FnwmOy8zW03Sks65QneNHCh/+cM6qWVfW/5o26GlljV8bzYKnda58peX1OXq\ns2G+W8pfrvG6wtFQ+aO7kr/kdp6ZnWVmncPybGgNu9PT7ZK2NrMfh3acJr9zfjO0cbiZDW/A/Eq9\n115mtmtoayfzt6lf2Tn3oaQXJJ1v/pbYfeXvfvQdzrlP5HPuL2bWPXxHtw/Vn0pa3sy6FWqEme0o\nfwb+AOfcuMYsSAXytM4g+UukC+5o2kCezpE/glrX9rofHJvL39Ch7hbpQ8qcXyk3SjrBzLYK+7Qu\nZranmS0jf6nUt5JOCXm3v/yy12ec/A+Ny8I8OplZ3Zn4TyWtbP4up/UpuR8pVwVydbykPc0/PsPM\nbGf5/JqQnZf5M75bavGZiax95ffZ6f3/evL76p8WeE16/luEz62D/E23vlLIVefcu/JnUI6Q78TM\nlV+nByj8yA3blsck/cHMuprZEma2hpntUOq9U23Y38zWCa9dQX5c7H/DmaO6x8iMLnd+JRT8vRL2\nvfdJGmJmS5m/+2327I0k31GRP3t0lfnbvLcz/2iiJeU7dotU+IBtyWUuVwV+qy4XPk8L6+MqSReE\n5c8uU2vfrkp+jPfRZra++QOcv5W/JLiuja1tuyr5Zf6lmfUyfxb/dKWWuRzN8WDoC+QHwEmSQg94\nQGjMDPnLDAe4cJmAmV1vZtenXv9z+VN9U+RX3t/lv8CSH6z3rPwG8Fn5OxsVutSi4O3uzayT/NGx\n65y/DLLu3wfyp3fr3ZhkrCXpidDW5yT9xTk3KizzO+HvT4d4rvx4mWfqOg7OuXnyd+I7JCzrVC0e\nmFgv8w9Yfj28/tt02+WPbi8K8cKQKMvLX2/bZM65f4b23WFmc+V3gruHuunylztdJv8Zr6V6Oh5h\n2nnyN1nYKyzzu/KdV0m6O/w/w8xeCsv8GwvPiHPOfZ1Z5jmSFoRyY7RYroYdxN7yd+mcI395xD6u\n/kvWSj2aYZB8fk3NLP/1Ki9XV5IfZDxXvgM0Rj7P5fyley9Jet35SwkVluVD59y0MM3CsF42lR+8\nPF3S/8lfG18v8w9YTG417Zx7W/4HyvXyYxb2kbR36j1XUYGcaSjn3KQw/9/I7+QnyR+9rtu+HSa/\nw5kpf6T01iKzGyi/A3tLfqzlaeE93pK/JOV985dF9Mwus6Tfya+jkbb4eT+Ned5hS25TZf45Pjuq\n+HqQWnmeOi/d7rpbwH/aQnn6gvxR+j/Jfyfekx+boPB++4d4pvwYnvsKzGeh/PZ0TfmbRkwO00t+\nbPDrkqaaWV1+lL0facRitWSu3ip/84jR8jlyrfxVG2/V044d5W+V/VU9dZLPx786/9zB9PL/SdLh\nVvoqma7yP/xmyV/yNEN+GEOdMZJmhG1RXWzyOVznp/KXXr4R5nOP/BUg9bLFD62vO6LfS/426fPk\nfwstkj/TXac5c7XU7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0kHSbolU/W6/AD5uulWlz8V+Z0fEOHOOzvIX/ta33ts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\nW1f+KGx9VyttC3l6cVj+CVt2Fa30sLdazFOZv6LdemrApZkzmjNX75Qf8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O742ZWR/5u0Je6Zybnl1QW9imhnZ0lh9/JUmdQlxX1+q2qWG9Cq5z2VyF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\nLyfl9DhbNB3OkAEAAABATuiQAQA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w/ZJ2lD/S+1aY5keSPs/Md5qkW0P5bIWjqEXa/7T8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\nceNN5corr2yW5QKV2H333aM4O6YXDcMZMgAAAADICR0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X3UHmZJikNxvwuObM1X9KmiKp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\nHN5LC6/FVZIurO/HeGvYp5rZWuG9NjPbVtK58p3iuvoWt08ttc3laowbQ18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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_examples()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: 自分の作ったベストなモデルの内部を見てみよう" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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+JDI1NVVpaWmqqqpSnz59NHHiRIWGhsrPz49JJDqd5itl+fn5MplMys3N1Zkz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\noJkzZ8rJycnoEgEAANBJEI4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n+vp6s0uRJEVERCgnJ0dBQUFauXKl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\n+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tURHh6u8PBwLVu2TL169brqlb6qqipNnTpV06ZN069/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\nNm7cqKysLE2cOFEvvfSS+vbtq5iYGJWUlFx2H5PJpPnz56uqq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6Wmpio4ODjL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- "text/plain": [ - "" - ] - }, - "metadata": { - "image/png": { - "height": 600, - "width": 600 - } - }, - "output_type": "display_data" - } - ], - "source": [ - "display_graph()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "## 発展: 畳み込みニューラルネットワークの実装\n", - "\n", - "このセクションでは、線形（全結合）層を持つ多層パーセプトロンのみを用いた。しかしながら、最近の画像認識におけるディープラーニングの進化は、畳み込みニューラルネットワーク（Convolutional Neural Network; CNN）という異なるタイプがもたらしている。\n", - "\n", - "このハンズオンの内容を超えるためその詳細はここでは割愛するが、ChainerはImageNet画像分類タスクの[example](https://github.com/pfnet/chainer/tree/master/examples/imagenet)に、様々な畳み込みニューラルネットワークの実装を含んでいる。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 定義: AlexNetモデル (ImageNetコンテスト2012優勝)\n", - "\n", - "AlexNetは最も標準的なCNNで、ImageNet2012コンテストで優勝したモデルである。\n", - "\n", - "基本的な関数やレイヤーは全てChainerでサポートされているため、ユーザーがこのような標準的なCNNを再実装したり、自分の問題のために拡張できる。例えばAlexNetは以下の様なモジュールを含んでいる。\n", - "\n", - "* Convolutional layer (L.Convolution2D)\n", - "* Max pooling (F.max_pooling_2d)\n", - "* Local response normalization (F.local_response_normalization)\n", - "* Dropout (F.dropout)\n", - "\n", - "関数等の詳細については、Chainerリファレンスマニュアルの[Standard Function implementations](http://docs.chainer.org/en/stable/reference/functions.html)に説明がある。" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# Definition of AlexNet\n", - "class AlexNet(chainer.Chain):\n", - "\n", - " def __init__(self):\n", - " super(AlexNet, self).__init__(\n", - " conv1=L.Convolution2D(3, 96, 11, stride=4),\n", - " conv2=L.Convolution2D(96, 256, 5, pad=2),\n", - " conv3=L.Convolution2D(256, 384, 3, pad=1),\n", - " conv4=L.Convolution2D(384, 384, 3, pad=1),\n", - " conv5=L.Convolution2D(384, 256, 3, pad=1),\n", - " fc6=L.Linear(9216, 4096),\n", - " fc7=L.Linear(4096, 4096),\n", - " fc8=L.Linear(4096, 1000),\n", - " )\n", - " self.train = True\n", - " \n", - " def __call__(self, x, t):\n", - " self.clear()\n", - " h = F.max_pooling_2d(F.relu(\n", - " F.local_response_normalization(self.conv1(x))), 3, stride=2)\n", - " h = F.max_pooling_2d(F.relu(\n", - " F.local_response_normalization(self.conv2(h))), 3, stride=2)\n", - " h = F.relu(self.conv3(h))\n", - " h = F.relu(self.conv4(h))\n", - " h = F.max_pooling_2d(F.relu(self.conv5(h)), 3, stride=2)\n", - " h = F.dropout(F.relu(self.fc6(h)), train=self.train)\n", - " h = F.dropout(F.relu(self.fc7(h)), train=self.train)\n", - " y = self.fc8(h)\n", - " return y" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----------------------" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "# Section 2. Chainerの基礎\n", - "\n", - "Section 1では、画像認識をタスク例に、Chainerにおいてどのようにしてニューラルネットワークを定義し訓練するかを説明した。\n", - "\n", - "ユーザーはこのようなパターン認識タスクだけでなく、自分の課題にもChainerを利用できる。しかし、上記の課題ではプリセットに存在するレイヤーや関数を組み合わせるだけでニューラルネットワークを構築していたが、今後はユーザーがゼロからより低レベルのコーディングを行うことで新しいネットワークを作り出す必要があるかもしれない。\n", - "\n", - "Chainerはそのようなユーザーが新しいモデルを迅速にプロトタイピングし、テストし、トライアンドエラーを通じて改良しやすいようにデザインされている。以下では、Chainerのコアとなっているコンポーネントについて説明する。" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "## 3.1 NumPyとCuPy\n", - "\n", - "NumPyはPythonの数値計算用に広く用いられているライブラリであり、Chainerの中でも用いられている。一方、ニューラルネットワークはGPGPUの多次元配列演算の高速化を必要としている。しかしNumPyはGPUをサポートしていないため、Chainerの初期バージョンではGPUを用いるためにはGPUに特化したコードを常に必要としていた。\n", - "\n", - "そこでChainer開発陣は、NumPy互換性のあるCUDAライブラリとしてCuPyを開発し、Chainerに加えた。CuPyは現在NumPyの多くのAPIをサポートしていおり、ユーザーはほとんどの場合CPU/GPU非依存なコードを書くことができる。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: NumPyを試す\n", - "\n", - "NumPyを用いて、行列の生成と処理を行って処理時間を計測する。具体的には、1000x1000の大きさの行列を作り、転置し、各要素を2倍にする操作を5000回繰り返す。" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "28.482298\n" - ] - } - ], - "source": [ - "# import numpy as np\n", - "a = np.arange(1000000).reshape(1000, -1)\n", - "t1 = time.clock()\n", - "for i in range(5000):\n", - " a = np.arange(1000000).reshape(1000, -1)\n", - " b = a.T * 2\n", - "t2 = time.clock()\n", - "print(t2 -t1)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "## Chainerの特長 - (2) CPU/GPU互換の行列演算\n", - "\n", - "CuPyは可能な限りNumPyと同じインタフェースを提供しているため、ユーザーは計算ロジックを変更すること無く両者を以下のように切り替えられる。" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "28.34438800000001\n" - ] - } - ], - "source": [ - "def xp_test(xp):\n", - " a = xp.arange(1000000).reshape(1000, -1)\n", - " t1 = time.clock()\n", - " for i in range(5000):\n", - " a = xp.arange(1000000).reshape(1000, -1)\n", - " b = a.T * 2\n", - " t2 = time.clock()\n", - " print(t2 -t1)\n", - "\n", - "enable_cupy = False\n", - "xp_test(np if not enable_cupy else cp)\n", - "# enable_cupy = True\n", - "# xp_test(np if not enable_cupy else cp) " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "## 3.2 VariableとFunction\n", - "\n", - "VariableとFunctionはそれぞれChainerで基礎的なクラスである。その名前から分かる通り、Variableは変数の値を表し、FunctionはVariableに対する操作を行う（静的な）関数である。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: Variableは多次元配列を含むクラス\n", - "\n", - "VariableはNumPyかCuPyの多次元配列インスタンスと共に初期化され、その値は.dataに格納される。" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - "[[ 0. 2.]\n", - " [ 1. -3.]]\n" - ] - } - ], - "source": [ - "x = Variable(np.asarray([[0, 2],[1, -3]]).astype(np.float32))\n", - "\n", - "print(type(x))\n", - "print(type(x.data))\n", - "print(x.data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: VariableはCPUとGPUの間を移動できる\n", - "\n", - "to_gpu()やto_cpu()を呼ぶことで、.dataを含むVariable内の要素はCPU側のNumPyの多次元配列、GPU側のCuPyの多次元配列を行き来できる。" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# x.to_gpu()\n", - "# print(type(x.data))\n", - "x.to_cpu()\n", - "print(type(x.data))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: FunctionはVariableの変換を行う\n", - "\n", - "実際の計算はforward（）メソッド中に記述され、出力もまたVariableのインスタンスになる。" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "[[ 0. 2.]\n", - " [ 1. -3.]]\n", - "\n", - "[[ 1. 9.]\n", - " [ 4. 4.]]\n" - ] - } - ], - "source": [ - "from chainer import function\n", - "\n", - "class MyFunc(function.Function):\n", - " def forward(self, x):\n", - " self.y = x[0] **2 + 2 * x[0] + 1 # y = x^2 + 2x + 1\n", - " return self.y,\n", - "\n", - "def my_func(x):\n", - " return MyFunc()(x)\n", - "\n", - "x = Variable(np.asarray([[0, 2],[1, -3]]).astype(np.float32))\n", - "y = my_func(x)\n", - "print(type(x))\n", - "print(x.data)\n", - "print(type(y))\n", - "print(y.data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: Variableは履歴を記憶する\n", - "\n", - "各Variableのインスタンスは自分を生成したFunctionを.creator以下に記憶している。それがNoneの場合、そのVariableインスタンスはrootと呼ばれる。" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "<__main__.MyFunc object at 0x11e761e80>\n", - "\n", - "None\n" - ] - } - ], - "source": [ - "x = Variable(np.asarray([[0, 2],[1, -3]]).astype(np.float32))\n", - "\n", - "# y is created by MyFunc\n", - "y = my_func(x)\n", - "print(y.creator)\n", - "\n", - "# z is created by F.sigmoid\n", - "z = F.sigmoid(x)\n", - "print(z.creator)\n", - "\n", - "# x is created by user\n", - "print(x.creator)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "### 説明: Variableは誤差逆伝搬をネイティブサポートしている\n", - "\n", - "誤差逆伝搬法（backpropagation）はニューラルネットワークを最適化する標準的な手法である。順方向計算のあと、出力に対して損失関数の値が勾配として与えられると、計算グラフを逆順に辿って、各中間ノードに対する勾配が与えられる。そして、その勾配情報を元に各パラメータの値が更新される。\n", - "\n", - "\n", - "\n", - "Chainerでは、自動微分がサポートされ、かつ順方向計算中に全てのVariableインスタンスが記録されているため、勾配（.grad）をセットされた出力Variableにたいしてbackward()メソッドを呼ぶと、計算グラフ上をroot（つまり.creatorがNoneである入力ユニットのノード）まで遡って誤差逆伝搬が動作する。その後、Optimizerがモデル（のパラメータ）を更新する。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 定義: 順方向計算としての2次式\n", - "\n", - "前のSectionで示したように、順方向計算は、最終的な出力Variableを生成するための演算の連鎖と見なすことができる。その間、Chainerは全ての中間Variableインスタンスを記録している。" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# A mock of forward computation\n", - "def forward(x):\n", - " z = 2 * x\n", - " y = x ** 2 - z + 1\n", - " return y, z" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: 勾配を与えるための逆方向計算\n", - "\n", - "y.gradに勾配をセットしy.backward()を実行することで、勾配情報がxとzにまで伝わる。" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "x = Variable(np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32))\n", - "y, z = forward(x)\n", - "y.grad = np.ones((2, 3), dtype=np.float32)\n", - "y.backward(retain_grad=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ 0. 2. 4.]\n", - " [ 6. 8. 10.]]\n" - ] - } - ], - "source": [ - "# Gradient for x: 2*x - 2\n", - "print(x.grad)" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[-1. -1. -1.]\n", - " [-1. -1. -1.]]\n" - ] - } - ], - "source": [ - "# Gradient for z: -1\n", - "print(z.grad)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "## 3.3 LinkとChain\n", - "\n", - "Functionは内部状態を持たない特定の演算のみを表していたため、ニューラルネットワーク中のレイヤーのように、パラメータを表す状態を持つ要素としては直接用いることができない。\n", - "\n", - "Linkは、そのような演算へのラッパーとなり、状態を持つ。Linkが再利用可能なモジュールとして定義されるため、大きなネットワーク（後述するChainのインスタンス）の部品として用いることができる。多くの標準的なレイヤーは[chianer.links](http://docs.chainer.org/en/stable/reference/links.html)中に用意されており、これまで用いてきたL.Linearと同様に、L.XYZというカタチで利用できる。" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "### 実行: Linkはパラメータを持つ状態付き関数\n", - "\n", - "Linkクラスの多くのコンストラクタは内部パラメータと大きさを表すようないくつかの引数を持つ。それらのパラメータも、Variableのインスタンスとして表現される。\n", - "\n", - "例えば、L.Linearは2つのパラメータ、係数行列のWとバイアス項のbを持つ。L.Linearのコンストラクタはそれらのサイズを決定する2つの引数を持つ。" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ -4.18684125e-01 -2.47487202e-01 -7.17009723e-01]\n", - " [ 1.72865475e-04 7.62057841e-01 -2.39615574e-01]]\n", - "[ 0. 0.]\n" - ] - } - ], - "source": [ - "f = L.Linear(3, 2)\n", - "# Weight matrix for linear transformation (randomly initialized)\n", - "print(f.W.data)\n", - "# Bias term for linear transformation (initialized with zero)\n", - "print(f.b.data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: Linkのインスタンスを使う\n", - "\n", - "Linkのインスタンスは関数のように、直接呼び出すことができる。" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[-3.06468749 0.8054418 ]\n", - " [-7.21423054 2.3732872 ]]\n" - ] - } - ], - "source": [ - "# Apply linear transformation f()\n", - "x = Variable(np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32))\n", - "y = f(x)\n", - "print(y.data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 実行: Linkに対して勾配を計算する\n", - "\n", - "Link内のパラメータがVariableのインスタンスのため、逆方向計算はそれらにも勾配を与える。" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ 5. 7. 9.]\n", - " [ 5. 7. 9.]]\n", - "[ 2. 2.]\n" - ] - } - ], - "source": [ - "# Initialize gradients of f\n", - "f.zerograds()\n", - "# Set gradient of y (= loss)\n", - "y.grad = np.ones((2, 2), dtype=np.float32)\n", - "# Backward computation\n", - "y.backward()\n", - "# Gradient for f.W and f.b\n", - "print(f.W.grad)\n", - "print(f.b.grad)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 定義: ChainerはLinkの集合、つまりネットワークを表す\n", - "\n", - "以下のクラスはSection 1で扱ったMLP2そのものであるが、Chainクラスを継承している。ニューラルネットワークを表す基底クラスとして、Chainerはパラメータの管理や、CPU/GPU間のto_cpu()とto_gpu()、モデルのシリアライズとファイルへの保存／読み込みなどをサポートしている。" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# 2-layer Multi-Layer Perceptron (MLP)\n", - "class MLP2(Chain):\n", - " \n", - " # Initialization of layers (Link)\n", - " def __init__(self):\n", - " super(MLP2, self).__init__(\n", - " l1=L.Linear(784, 100),\n", - " l2=L.Linear(100, 10),\n", - " )\n", - "\n", - " # Forward computation by __call__\n", - " def __call__(self, x):\n", - " h1 = F.tanh(self.l1(x))\n", - " y = self.l2(h1)\n", - " return y" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 発展: Define-by-Runというアプローチ\n", - "\n", - "既存ディープラーニングフレームワークのほとんどでは、モデルの構築と訓練は2つの分離したプロセスとして扱われる。具体的には訓練の前に、モデルの定義（モデル記述テキストやシンボリックなプログラム記述）に従って計算グラフを構築して固定している。この場合のモデル定義は、ディープラーニング用のドメイン特化言語（Domain Specific Language; DSL）の一種と考えられる。その後、訓練データセットを与えられ、実際の訓練プロセスに寄ってモデルを更新する。下の図はその2つのプロセスを表現している。我々はこれをDefine-and-Runと読んでいる。\n", - "\n", - "\n", - "\n", - "Define-and-Runは極めて著感的で、かつ訓練の前に計算グラフを最適化しやすいという特徴をもっている。一方、そのデメリットもある。例えば、リカレントニューラルネットワークのようなモデルを記述するときには、特殊な文法を用いる必要がある。また、ネットワークが動的に変化する、例えば部分的に追加・削除される場合でも、可能性のある計算グラフの全てを訓練の最初から最後までメモリ上に保持しておく必要があるため、メモリ効率の面で最適とはいえない場合がある。\n", - "\n", - "それゆえに、ChainerではDefine-by-Runを名付けた異なるアプローチを採用している。ここではモデルの定義が訓練と同時に順方向計算として与えられており、その場で計算グラフが構築される。これによってユーザーはループや条件分岐などを含む複雑なニューラルネットワークを、ホスト言語であるPythonの文法そのままを使って、容易に実装できる。また、Truncated BPTTのような計算グラフへの変更も、効率的に行われる。\n", - "\n", - "\n", - "\n", - "さらなる詳細に興味のあるユーザーは[論文](http://learningsys.org/papers/LearningSys_2015_paper_33.pdf)を参照してほしい。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "-----------------------" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Section 3. まとめ" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "このnotebookではChainerを柔軟で直感的、かつパワフルなディープラーニングフレームワークとして紹介した。特に、最近の学術論文で提案されている複雑なニューラルネットワークモデルを容易に再実装したい時や、新しいアルゴリズムのプロトタイプを実装する際に、Chainerは威力を発揮する。\n", - "\n", - "以下の画像は有名な [\"A neural algorithm of Artistic style\"](http://arxiv.org/abs/1508.06576)という論文の[Chainer実装](https://github.com/mattya/chainer-gogh)によって生成されたものである。\n", - "\n", - "猫のコンテンツ画像が、横にある様々なスタイル画像と同様の画風となるように再描画されているのがわかる。\n", - "\n", - "\n", - "\n", - "これは単なる一例に過ぎないが、githubのコードを見るとこのような面白いモデルがChainerを使って数百行で再実装できていることがお分かりいただけると思う。\n", - "その他にも、ユーザーが様々なユースケースで作成した[コード例のリスト](https://github.com/pfnet/chainer/wiki/External-examples)があるので、参考になれば幸いである。" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "----------------------------------" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "collapsed": true - }, - "source": [ - "これで本notebookは終了である。さらなる詳細は[公式チュートリアル](http://docs.chainer.org/en/stable/tutorial/index.html)を参照されたい。" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.2" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -}