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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"※C92で頒布されたゆゆ式合同誌『ゆゆすき 4期』に寄稿したものからプログラム分を説明するために一部抜粋した資料になります"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import seaborn as sns\n",
"import numpy as np\n",
"import cv2\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## ディレクトリ構造\n",
"顔を切り抜いた後、0_yuzuko,1_yukari,2_yuiに入れています。データ分割を行うことでtest,train以下のフォルダにそれぞれ画像が振り分けられます。\n",
"```\n",
"├── 0_yuzuko\n",
"├── 1_yukari\n",
"├── 2_yui\n",
"├── test\n",
"│   ├── 0_yuzuko\n",
"│   ├── 1_yukari\n",
"│   └── 2_yui\n",
"└── train\n",
" ├── 0_yuzuko\n",
" ├── 1_yukari\n",
" └── 2_yui\n",
" ```"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"書き出しディレクトリ: /Users/esuji/image/yuyu_bunrui_y4th/test\n",
"書き出しディレクトリ: /Users/esuji/image/yuyu_bunrui_y4th/train\n",
"/Users/esuji/image/yuyu_bunrui_y4th/0_yuzuko\n",
"1264 140\n",
"書き出しディレクトリ: /Users/esuji/image/yuyu_bunrui_y4th/test/0_yuzuko\n",
"書き出しディレクトリ: /Users/esuji/image/yuyu_bunrui_y4th/train/0_yuzuko\n",
"/Users/esuji/image/yuyu_bunrui_y4th/1_yukari\n",
"999 111\n",
"書き出しディレクトリ: /Users/esuji/image/yuyu_bunrui_y4th/test/1_yukari\n",
"書き出しディレクトリ: /Users/esuji/image/yuyu_bunrui_y4th/train/1_yukari\n",
"/Users/esuji/image/yuyu_bunrui_y4th/2_yui\n",
"1031 114\n",
"書き出しディレクトリ: /Users/esuji/image/yuyu_bunrui_y4th/test/2_yui\n",
"書き出しディレクトリ: /Users/esuji/image/yuyu_bunrui_y4th/train/2_yui\n"
]
}
],
"source": [
"# データ分割\n",
"import os\n",
"import shutil\n",
"\n",
"choice_num = 10000\n",
"bunrui_dir = '/Users/esuji/image/yuyu_bunrui_y4th/'\n",
"test_sample_rate = 0.1\n",
"utils.make_outdir(bunrui_dir, 'test'), utils.make_outdir(bunrui_dir, 'train')\n",
"\n",
"for dir_name in os.listdir(bunrui_dir):\n",
" if dir_name.startswith('.') or dir_name[0] == 't':\n",
" continue\n",
" \n",
" try:\n",
" label = int(dir_name[0])\n",
" # ゆずこ、縁、唯の3人だけでよい\n",
" if label >= 3:\n",
" continue\n",
" except:\n",
" continue\n",
" \n",
" bunrui_img_dir = os.path.join(bunrui_dir, dir_name)\n",
" print(bunrui_img_dir)\n",
" img_list = np.array(utils.get_path_list(bunrui_img_dir, 'png'))\n",
"# 定数まで取得\n",
" if len(img_list) > choice_num:\n",
" img_list = np.random.choice(img_list, choice_num, False)\n",
" test_num = int(len(img_list) * test_sample_rate)\n",
" test_img_list = list(np.random.choice(img_list, test_num, False))\n",
" train_img_list = list(set(img_list) - set(test_img_list))\n",
" print(len(train_img_list), len(test_img_list))\n",
" \n",
"# 書き出しディレクトリを作成&空にする\n",
" test_dir = utils.make_outdir(bunrui_dir, os.path.join('test', dir_name))\n",
" train_dir = utils.make_outdir(bunrui_dir, os.path.join('train', dir_name))\n",
" [shutil.os.remove(os.path.join(test_dir, os.path.basename(img_path))) for img_path in os.listdir(test_dir)]\n",
" [shutil.os.remove(os.path.join(train_dir, os.path.basename(img_path))) for img_path in os.listdir(train_dir)]\n",
" # 人物ディレクトリからtrain,testディレクトリへコピー\n",
" [shutil.copy(img_path, os.path.join(test_dir, os.path.basename(img_path))) for img_path in test_img_list]\n",
" [shutil.copy(img_path, os.path.join(train_dir, os.path.basename(img_path))) for img_path in train_img_list]\n",
"\n",
" # 0サイズの画像は削除。リスト内包表記でos.path.getsize()の判定ができない?\n",
" for img_path in (train_img_list + test_img_list):\n",
" if not os.path.getsize(img_path):\n",
" shutil.os.remove(img_path)\n",
" \n",
" # 画像の水増しを行う。計算量増加と精度向上のバランスが取れなかったため不採用になった\n",
"# for img_path in train_img_list:\n",
"# img = cv2.imread(img_path)\n",
"# # 左右反転\n",
"# img_f = cv2.flip(img, 1)\n",
"# new_img_path = os.path.basename(img_path)[:-4] + '_f.png'\n",
"# cv2.imwrite(os.path.join(train_dir, os.path.basename(new_img_path)), img_f)\n",
"# # 線画\n",
"# img_s = utils.generate_senga(img, 4)\n",
"# new_img_path = os.path.basename(img_path)[:-4] + '_s.png'\n",
"# cv2.imwrite(os.path.join(train_dir, os.path.basename(new_img_path)), img_s)\n",
"# # ブラー\n",
"# img_b = cv2.blur(img, (5,5))\n",
"# new_img_path = os.path.basename(img_path)[:-4] + '_b.png'\n",
"# cv2.imwrite(os.path.join(train_dir, os.path.basename(new_img_path)), img_b)\n",
"# # 左右反転ブラー\n",
"# img_fb = cv2.blur(img_f, (5,5))\n",
"# new_img_path = os.path.basename(img_path)[:-4] + '_fb.png'\n",
"# cv2.imwrite(os.path.join(train_dir, os.path.basename(new_img_path)), img_fb)\n",
"# ガウス\n",
"# img_g = cv2.GaussianBlur(img, (5, 5), 0)\n",
"# flip_img_path = os.path.basename(img_path)[:-4] + '_g.png'\n",
"# cv2.imwrite(os.path.join(train_dir, os.path.basename(flip_img_path)), img_g)\n",
"# "
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from collections import defaultdict\n",
"import os\n",
"from keras.callbacks import EarlyStopping\n",
"from keras.utils import np_utils\n",
"\n",
"\n",
"TRAIN_NUM = 150 # 訓練に使う画像のMAX枚数\n",
"size = 32 # CNNに入力する画像のサイズ。高さ、幅は同値\n",
"filter_size = 32 # 入力に使用する元画像のサイズ\n",
"\n",
"def make_image_and_label_list(bunrui_img_dir, is_train=False):\n",
" '''pngファイルのあるdirパスからimgデータとラベルのリストを返す'''\n",
" image_list = []\n",
" label_list = []\n",
" label_num_dict = defaultdict(int)\n",
" for img_path in utils.get_path_list(bunrui_img_dir, 'png'):\n",
" label = int(img_path.split('animeface_cut0')[1][0]) - 1\n",
" # 8巻分は除外\n",
" if label >= 7:\n",
" continue\n",
" label_num_dict[label] += 1\n",
" if label_num_dict[label] > TRAIN_NUM:\n",
" continue\n",
" \n",
" img = cv2.imread(img_path, 0)\n",
" # 大きさに制限をかける\n",
" if img.shape[0] < filter_size:\n",
" continue\n",
" \n",
" # labelを分類問題によってredifine\n",
" label = redefine_label(label)\n",
" if label is False:\n",
" continue\n",
" \n",
" if img is not None and img.shape[0] >= size and img.shape[1] >= size:\n",
" img = cv2.resize(img, (size, size))\n",
" image_list.append(img)\n",
" label_list.append(label)\n",
"\n",
" return image_list, label_list\n",
"\n",
"def get_bunrui_images(img_dir, ll, is_train=True):\n",
" image_list_all = []\n",
" label_list_all = []\n",
" for dir_name in os.listdir(img_dir):\n",
" if dir_name.startswith('.') or dir_name[0] == 't':\n",
" continue\n",
"\n",
" dir_num = int(dir_name[0])\n",
" if dir_num != ll:\n",
" continue\n",
"\n",
" bunrui_img_dir = os.path.join(img_dir, dir_name)\n",
" print(bunrui_img_dir)\n",
" image_and_label_list = make_image_and_label_list(bunrui_img_dir, is_train)\n",
" image_list_all.extend(image_and_label_list[0])\n",
" label_list_all.extend(image_and_label_list[1])\n",
"\n",
" return np.array(image_list_all), label_list_all\n",
"\n",
"def make_train_test_data(ll, nb_classes):\n",
" X_train, y_train = get_bunrui_images(os.path.join(bunrui_dir, 'train'), ll, is_train=True)\n",
" X_test, y_test = get_bunrui_images(os.path.join(bunrui_dir, 'test'), ll, is_train=False)\n",
" print(X_train.shape[0], 'train samples')\n",
" print(pd.Series(y_train).value_counts(sort=False))\n",
" print(X_test.shape[0], 'test samples')\n",
" print(pd.Series(y_test).value_counts(sort=False))\n",
" \n",
" # 画素を-1.0~1.0の範囲に変換\n",
" X_train =X_train.astype('float32') / 255\n",
" X_test =X_test.astype('float32') / 255\n",
" # データ整形\n",
" X_train = X_train.reshape(X_train.shape[0], size, size, 1)\n",
" X_test = X_test.reshape(X_test.shape[0], size, size, 1)\n",
" # one-hot-encoding\n",
" Y_train = np_utils.to_categorical(y_train, nb_classes)\n",
" Y_test = np_utils.to_categorical(y_test, nb_classes)\n",
" return X_train, X_test, Y_train, Y_test, y_test"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": true,
"scrolled": false
},
"outputs": [],
"source": [
"from keras.models import Sequential\n",
"from keras.layers.core import Dense, Dropout, Activation\n",
"from keras.optimizers import Adam\n",
"from keras.utils.vis_utils import plot_model\n",
"from keras.optimizers import SGD\n",
"from keras.models import Sequential\n",
"from keras.layers import Dense, Dropout, Activation, Flatten, Input\n",
"from keras.layers import Convolution2D, MaxPooling2D, Conv2D, BatchNormalization\n",
"from keras.optimizers import SGD\n",
"from keras.models import Model\n",
"\n",
"def build_mnist_model(nb_classes):\n",
" model = Sequential()\n",
" input_shape = (size, size, 1)\n",
" model.add(Conv2D(32, (3, 3),\n",
" activation='relu',\n",
" input_shape=input_shape))\n",
" model.add(MaxPooling2D(pool_size=(2, 2)))\n",
"# model.add(Dropout(0.2))\n",
" model.add(Conv2D(64, (3, 3), activation='relu'))\n",
" model.add(MaxPooling2D(pool_size=(2, 2)))\n",
"# model.add(Dropout(0.2))\n",
" \n",
" model.add(Flatten())\n",
" model.add(Dense(768, activation='relu'))\n",
" model.add(Dropout(0.5))\n",
" model.add(Dense(nb_classes, activation='softmax'))\n",
" return model\n",
"\n",
"def model_compile(nb_classes, verbose=1, model=None):\n",
" if not model:\n",
" model = build_mnist_model(nb_classes)\n",
" # モデルをコンパイル\n",
" if verbose:\n",
" model.summary()\n",
" model.compile(loss='categorical_crossentropy', optimizer=Adam(), metrics=['accuracy'])\n",
" return model\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 検証用のアニメ画像のディレクトリ構造\n",
"顔を切り抜いた後、a01_0にはTVアニメ1話のゆずこ、a01_1にはTVアニメ1話の縁...のようにデータを入れておきます\n",
"```\n",
"├── 0_yuzuko\n",
"├── 1_yukari\n",
"├── 2_yui\n",
"├── a01_0\n",
"├── a01_1\n",
"├── a01_2\n",
"├── a07_0\n",
"├── a07_1\n",
"├── a07_2\n",
"├── a12_0\n",
"├── a12_1\n",
"├── a12_2\n",
"├── ova_0\n",
"├── ova_1\n",
"├── ova_2\n",
"├── test\n",
"│   ├── 0_yuzuko\n",
"│   ├── 1_yukari\n",
"│   └── 2_yui\n",
"└── train\n",
" ├── 0_yuzuko\n",
" ├── 1_yukari\n",
" └── 2_yui\n",
" ```"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from sklearn.metrics import accuracy_score, classification_report\n",
"\n",
"def plot_history(history):\n",
" # 精度の履歴をプロット\n",
" plt.plot(history.history['acc'])\n",
" plt.plot(history.history['val_acc'])\n",
" plt.title('model accuracy')\n",
" plt.xlabel('epoch')\n",
" plt.ylabel('accuracy')\n",
" plt.legend(['acc', 'val_acc'], loc='lower right')\n",
" plt.savefig(\"plot_acc.png\",format = 'png', dpi=300)\n",
" plt.show()\n",
"\n",
" # 損失の履歴をプロット\n",
" plt.plot(history.history['loss'])\n",
" plt.plot(history.history['val_loss'])\n",
" plt.title('model loss')\n",
" plt.xlabel('epoch')\n",
" plt.ylabel('loss')\n",
" plt.legend(['loss', 'val_loss'], loc='upper right')\n",
" plt.savefig(\"plot_loss.png\",format = 'png', dpi=300)\n",
" plt.show()\n",
" \n",
"def model_score(model, X, y, ll, nb_classes):\n",
" res = model.predict_classes(X)\n",
" print('')\n",
" print('label =', ll)\n",
" print(res + 1)\n",
" print(np.array(y) + 1)\n",
" npr = np.array(res.tolist())+1\n",
" npt = np.array(y)+1\n",
" for idx in range(1,nb_classes+1,1):\n",
" npr_i = npr[npt == idx]\n",
" npt_i = npt[npt == idx]\n",
" print('class{}:'.format(idx), (npr_i == npt_i).mean(), ((npr_i <= npt_i + 1)*(npt_i-1 <= npr_i)).mean())\n",
"\n",
" print('total: ', (npr == npt).mean(), ((npr <= npt + 1)*(npt-1 <= npr)).mean())\n",
" model.save_weights('./model_weights_c{}_{}.model'.format(nb_classes, ll))\n",
" return (npr == npt).mean()\n",
"\n",
"def model_score_bi(model, X, y):\n",
" print(classification_report(y, model.predict_classes(X)))\n",
"\n",
"def predict_anime(model, nb_classes): \n",
" def get_images(cap_dir, fix_hr=None):\n",
" print(cap_dir)\n",
" img_path_list = utils.get_path_list(cap_dir, 'png')\n",
" img_list = []\n",
" for img_path in img_path_list:\n",
" img = cv2.imread(img_path, 0)\n",
"# img = utils.generate_senga(img, 8)\n",
" if fix_hr:\n",
" img = cv2.resize(img, (img.shape[1],int(img.shape[0]*fix_hr)))\n",
" img = cv2.resize(img, (size,size))\n",
" img = img.astype('float32')\n",
" img /= 255\n",
" img_list.append(img)\n",
"\n",
" img_list = np.array(img_list)\n",
" img_list = img_list.reshape(img_list.shape[0], size, size, 1)\n",
" return img_list\n",
" \n",
" # OVA画像と比較\n",
" for idx, ki in enumerate(['a01_9', 'a07_9', 'a12_9', 'ova_9']):\n",
" cap_dir = '/Users/esuji/image/yuyu_bunrui_y4th/{}/'.format(ki)\n",
" img_list = get_images(cap_dir)\n",
" pred = model.predict_classes(img_list) + 1\n",
"\n",
" plt.subplot(4, 4, idx + 1)\n",
" plt.figure(1, figsize=(7, 7))\n",
" plt.hist(pred, label = [\"1\",\"2\"],histtype='stepfilled', range=(1,nb_classes+1), bins=nb_classes,alpha = 0.5)\n",
" plt.xticks(np.array(range(1,nb_classes+1))+.5, ['1~4', '5~7']) \n",
" plt.title(['TV-01', 'TV-07', 'TV-12','OVA'][idx])\n",
"\n",
" plt.savefig(\"plot_prea.png\",format = 'png', dpi=300)\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 7巻分類してみよう"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/Users/esuji/image/yuyu_bunrui_y4th/train/1_yukari\n",
"/Users/esuji/image/yuyu_bunrui_y4th/test/1_yukari\n",
"870 train samples\n",
"0 99\n",
"1 145\n",
"2 124\n",
"3 119\n",
"4 143\n",
"5 112\n",
"6 128\n",
"dtype: int64\n",
"100 test samples\n",
"0 13\n",
"1 15\n",
"2 17\n",
"3 15\n",
"4 7\n",
"5 14\n",
"6 19\n",
"dtype: int64\n",
"_________________________________________________________________\n",
"Layer (type) Output Shape Param # \n",
"=================================================================\n",
"conv2d_101 (Conv2D) (None, 30, 30, 32) 320 \n",
"_________________________________________________________________\n",
"max_pooling2d_101 (MaxPoolin (None, 15, 15, 32) 0 \n",
"_________________________________________________________________\n",
"conv2d_102 (Conv2D) (None, 13, 13, 64) 18496 \n",
"_________________________________________________________________\n",
"max_pooling2d_102 (MaxPoolin (None, 6, 6, 64) 0 \n",
"_________________________________________________________________\n",
"flatten_51 (Flatten) (None, 2304) 0 \n",
"_________________________________________________________________\n",
"dense_101 (Dense) (None, 768) 1770240 \n",
"_________________________________________________________________\n",
"dropout_51 (Dropout) (None, 768) 0 \n",
"_________________________________________________________________\n",
"dense_102 (Dense) (None, 7) 5383 \n",
"=================================================================\n",
"Total params: 1,794,439\n",
"Trainable params: 1,794,439\n",
"Non-trainable params: 0\n",
"_________________________________________________________________\n",
"Train on 783 samples, validate on 87 samples\n",
"Epoch 1/70\n",
"783/783 [==============================] - 2s - loss: 1.9127 - acc: 0.1750 - val_loss: 2.8625 - val_acc: 0.0000e+00\n",
"Epoch 2/70\n",
"783/783 [==============================] - 1s - loss: 1.7149 - acc: 0.2937 - val_loss: 2.6483 - val_acc: 0.0000e+00\n",
"Epoch 3/70\n",
"783/783 [==============================] - 0s - loss: 1.4740 - acc: 0.3589 - val_loss: 2.1758 - val_acc: 0.0000e+00\n",
"Epoch 4/70\n",
"783/783 [==============================] - 0s - loss: 1.2952 - acc: 0.4227 - val_loss: 2.5330 - val_acc: 0.0000e+00\n",
"Epoch 5/70\n",
"783/783 [==============================] - 1s - loss: 1.1861 - acc: 0.4777 - val_loss: 1.9054 - val_acc: 0.0000e+00\n",
"Epoch 6/70\n",
"783/783 [==============================] - 1s - loss: 1.0922 - acc: 0.5121 - val_loss: 1.7948 - val_acc: 0.0115\n",
"Epoch 7/70\n",
"783/783 [==============================] - 1s - loss: 1.0409 - acc: 0.5441 - val_loss: 1.7757 - val_acc: 0.0920\n",
"Epoch 8/70\n",
"783/783 [==============================] - 1s - loss: 0.9767 - acc: 0.5773 - val_loss: 1.7506 - val_acc: 0.0460\n",
"Epoch 9/70\n",
"783/783 [==============================] - 0s - loss: 0.9062 - acc: 0.5849 - val_loss: 1.4855 - val_acc: 0.3448\n",
"Epoch 10/70\n",
"783/783 [==============================] - 0s - loss: 0.8622 - acc: 0.6220 - val_loss: 1.8117 - val_acc: 0.0920\n",
"Epoch 11/70\n",
"783/783 [==============================] - 1s - loss: 0.8158 - acc: 0.6616 - val_loss: 2.1242 - val_acc: 0.0805\n",
"Epoch 12/70\n",
"783/783 [==============================] - 1s - loss: 0.7444 - acc: 0.6871 - val_loss: 1.5893 - val_acc: 0.3218\n",
"Epoch 13/70\n",
"783/783 [==============================] - 1s - loss: 0.7408 - acc: 0.6986 - val_loss: 1.2247 - val_acc: 0.5402\n",
"Epoch 14/70\n",
"783/783 [==============================] - 1s - loss: 0.6920 - acc: 0.7101 - val_loss: 1.3527 - val_acc: 0.2299\n",
"Epoch 15/70\n",
"783/783 [==============================] - 1s - loss: 0.6229 - acc: 0.7484 - val_loss: 1.7731 - val_acc: 0.1954\n",
"Epoch 16/70\n",
"783/783 [==============================] - 0s - loss: 0.5943 - acc: 0.7561 - val_loss: 1.4267 - val_acc: 0.4598\n",
"Epoch 17/70\n",
"783/783 [==============================] - 0s - loss: 0.5533 - acc: 0.7867 - val_loss: 1.2482 - val_acc: 0.4828\n",
"Epoch 18/70\n",
"783/783 [==============================] - 0s - loss: 0.5167 - acc: 0.7765 - val_loss: 1.7155 - val_acc: 0.3103\n",
"Epoch 19/70\n",
"783/783 [==============================] - 0s - loss: 0.4747 - acc: 0.8123 - val_loss: 1.0504 - val_acc: 0.5862\n",
"Epoch 20/70\n",
"783/783 [==============================] - 0s - loss: 0.4652 - acc: 0.8135 - val_loss: 1.3387 - val_acc: 0.4483\n",
"Epoch 21/70\n",
"783/783 [==============================] - 0s - loss: 0.3987 - acc: 0.8570 - val_loss: 1.6100 - val_acc: 0.3563\n",
"Epoch 22/70\n",
"783/783 [==============================] - 0s - loss: 0.3705 - acc: 0.8621 - val_loss: 1.6851 - val_acc: 0.3678\n",
"Epoch 23/70\n",
"783/783 [==============================] - 0s - loss: 0.3493 - acc: 0.8774 - val_loss: 2.0945 - val_acc: 0.2644\n",
"Epoch 24/70\n",
"783/783 [==============================] - 0s - loss: 0.3606 - acc: 0.8557 - val_loss: 0.9825 - val_acc: 0.6092\n",
"Epoch 25/70\n",
"783/783 [==============================] - 0s - loss: 0.2891 - acc: 0.8914 - val_loss: 2.0233 - val_acc: 0.3103\n",
"Epoch 26/70\n",
"783/783 [==============================] - 0s - loss: 0.2582 - acc: 0.9093 - val_loss: 1.7754 - val_acc: 0.3103\n",
"Epoch 27/70\n",
"783/783 [==============================] - 1s - loss: 0.2538 - acc: 0.9119 - val_loss: 1.2666 - val_acc: 0.5287\n",
"Epoch 28/70\n",
"783/783 [==============================] - 1s - loss: 0.2187 - acc: 0.9310 - val_loss: 1.6117 - val_acc: 0.3908\n",
"Epoch 29/70\n",
"783/783 [==============================] - 1s - loss: 0.1932 - acc: 0.9336 - val_loss: 1.5284 - val_acc: 0.4483\n",
"Epoch 30/70\n",
"783/783 [==============================] - 1s - loss: 0.1932 - acc: 0.9349 - val_loss: 1.0944 - val_acc: 0.5632\n",
"Epoch 31/70\n",
"783/783 [==============================] - 1s - loss: 0.1457 - acc: 0.9604 - val_loss: 2.5662 - val_acc: 0.1839\n",
"Epoch 32/70\n",
"783/783 [==============================] - 1s - loss: 0.1537 - acc: 0.9553 - val_loss: 1.9970 - val_acc: 0.3218\n",
"Epoch 33/70\n",
"783/783 [==============================] - 1s - loss: 0.1285 - acc: 0.9642 - val_loss: 2.1084 - val_acc: 0.3103\n",
"Epoch 34/70\n",
"783/783 [==============================] - 1s - loss: 0.1223 - acc: 0.9706 - val_loss: 2.5313 - val_acc: 0.1724\n",
"Epoch 35/70\n",
"783/783 [==============================] - 1s - loss: 0.1153 - acc: 0.9579 - val_loss: 2.9923 - val_acc: 0.2299\n",
"Epoch 36/70\n",
"783/783 [==============================] - 1s - loss: 0.0901 - acc: 0.9834 - val_loss: 2.7342 - val_acc: 0.2414\n",
"Epoch 37/70\n",
"783/783 [==============================] - 1s - loss: 0.0671 - acc: 0.9872 - val_loss: 1.9900 - val_acc: 0.4598\n",
"Epoch 38/70\n",
"783/783 [==============================] - 1s - loss: 0.0640 - acc: 0.9885 - val_loss: 3.2165 - val_acc: 0.2069\n",
"Epoch 39/70\n",
"783/783 [==============================] - 1s - loss: 0.0715 - acc: 0.9808 - val_loss: 2.1199 - val_acc: 0.3908\n",
"Epoch 40/70\n",
"783/783 [==============================] - 1s - loss: 0.0498 - acc: 0.9923 - val_loss: 3.2534 - val_acc: 0.2299\n",
"Epoch 41/70\n",
"783/783 [==============================] - 1s - loss: 0.0663 - acc: 0.9808 - val_loss: 2.4834 - val_acc: 0.3103\n",
"Epoch 42/70\n",
"783/783 [==============================] - 1s - loss: 0.0539 - acc: 0.9936 - val_loss: 1.9966 - val_acc: 0.4023\n",
"Epoch 43/70\n",
"783/783 [==============================] - 1s - loss: 0.0482 - acc: 0.9911 - val_loss: 2.6710 - val_acc: 0.3103\n",
"Epoch 44/70\n",
"783/783 [==============================] - 0s - loss: 0.0472 - acc: 0.9911 - val_loss: 4.0009 - val_acc: 0.1724\n",
"Epoch 45/70\n",
"783/783 [==============================] - 1s - loss: 0.0597 - acc: 0.9860 - val_loss: 3.5752 - val_acc: 0.2184\n",
"Epoch 46/70\n",
"783/783 [==============================] - 0s - loss: 0.0421 - acc: 0.9898 - val_loss: 3.1784 - val_acc: 0.1954\n",
"Epoch 47/70\n",
"783/783 [==============================] - 1s - loss: 0.0374 - acc: 0.9974 - val_loss: 3.5381 - val_acc: 0.2184\n",
"Epoch 48/70\n",
"783/783 [==============================] - 1s - loss: 0.0222 - acc: 0.9987 - val_loss: 3.8626 - val_acc: 0.2184\n",
"Epoch 49/70\n",
"783/783 [==============================] - 1s - loss: 0.0305 - acc: 0.9923 - val_loss: 3.4520 - val_acc: 0.2414\n",
"Epoch 50/70\n",
"783/783 [==============================] - 1s - loss: 0.0223 - acc: 0.9974 - val_loss: 3.7522 - val_acc: 0.1954\n",
"Epoch 51/70\n",
"783/783 [==============================] - 1s - loss: 0.0180 - acc: 0.9974 - val_loss: 3.2530 - val_acc: 0.2874\n",
"Epoch 52/70\n",
"783/783 [==============================] - 1s - loss: 0.0223 - acc: 0.9962 - val_loss: 3.2910 - val_acc: 0.2414\n",
"Epoch 53/70\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"783/783 [==============================] - 1s - loss: 0.0244 - acc: 0.9936 - val_loss: 2.1902 - val_acc: 0.4828\n",
"Epoch 54/70\n",
"783/783 [==============================] - 1s - loss: 0.0217 - acc: 0.9987 - val_loss: 2.6636 - val_acc: 0.3448\n",
"Epoch 55/70\n",
"783/783 [==============================] - 0s - loss: 0.0138 - acc: 1.0000 - val_loss: 3.6370 - val_acc: 0.2414\n",
"Epoch 56/70\n",
"783/783 [==============================] - 0s - loss: 0.0155 - acc: 0.9987 - val_loss: 2.9263 - val_acc: 0.2989\n",
"Epoch 57/70\n",
"783/783 [==============================] - 1s - loss: 0.0132 - acc: 0.9974 - val_loss: 3.7417 - val_acc: 0.2644\n",
"Epoch 58/70\n",
"783/783 [==============================] - 0s - loss: 0.0237 - acc: 0.9923 - val_loss: 4.2876 - val_acc: 0.1724\n",
"Epoch 59/70\n",
"783/783 [==============================] - 1s - loss: 0.0175 - acc: 0.9962 - val_loss: 4.8052 - val_acc: 0.1724\n",
"Epoch 60/70\n",
"783/783 [==============================] - 0s - loss: 0.0193 - acc: 0.9962 - val_loss: 3.0118 - val_acc: 0.3333\n",
"Epoch 61/70\n",
"783/783 [==============================] - 0s - loss: 0.0194 - acc: 0.9987 - val_loss: 2.7470 - val_acc: 0.3678\n",
"Epoch 62/70\n",
"783/783 [==============================] - 0s - loss: 0.0204 - acc: 0.9962 - val_loss: 2.4562 - val_acc: 0.4023\n",
"Epoch 63/70\n",
"783/783 [==============================] - 0s - loss: 0.0102 - acc: 1.0000 - val_loss: 3.4901 - val_acc: 0.2759\n",
"Epoch 64/70\n",
"783/783 [==============================] - 1s - loss: 0.0123 - acc: 0.9987 - val_loss: 3.8893 - val_acc: 0.2644\n",
"Epoch 65/70\n",
"783/783 [==============================] - 0s - loss: 0.0096 - acc: 0.9987 - val_loss: 3.5701 - val_acc: 0.3103\n",
"Epoch 66/70\n",
"783/783 [==============================] - 0s - loss: 0.0111 - acc: 0.9987 - val_loss: 3.6928 - val_acc: 0.2874\n",
"Epoch 67/70\n",
"783/783 [==============================] - 1s - loss: 0.0088 - acc: 0.9987 - val_loss: 4.0106 - val_acc: 0.2529\n",
"Epoch 68/70\n",
"783/783 [==============================] - 1s - loss: 0.0071 - acc: 1.0000 - val_loss: 3.0673 - val_acc: 0.3333\n",
"Epoch 69/70\n",
"783/783 [==============================] - 0s - loss: 0.0074 - acc: 1.0000 - val_loss: 4.6103 - val_acc: 0.2184\n",
"Epoch 70/70\n",
"783/783 [==============================] - 0s - loss: 0.0075 - acc: 0.9987 - val_loss: 4.4643 - val_acc: 0.1954\n"
]
},
{
"data": {
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06LnrukUjDtz95dnNrDy9Ku3bO20mVi+tobTUOWVSrEKkQ4K3EFOENxBh56F2dtS3s+tQ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\nVXCHPdS6aoDe5jInfC3U5k0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Nxlo6P9N2TxdGnQFfVxS/Ln5bg2JFr9PT0NE4YV6P5GsN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\nH/j9wVcABDfr9rR09DXQyNT44OxH6DB34XT3WXA8h/Hp3t9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ZfeNlGRbfH3cjpmZfiOru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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1c5b75b70>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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0sLk2hKXPdC5DcI4ky/LzEZwtBjMmvSm95pzOnKWsLYQQ5VFsWRuS686xRIyT\n7u4Z3zs0dhQVteiSdqlWOztRUenznqrI9SfSmWctTZYGIE9wDo1j0hmL+jvLpyKZ8xz2XRdLURTq\namozgnMyc7ZJWVsIIcoj11nO2UxuqZpZ2j5Q4npzqdInVFVo3VkLNK4iy9oNlvpZ7RHOZDYkJ7KV\noyHMHZm/sjZAXY0LX9RPJB5Nl7UtMoRECCHKw5c69CLbXO3p1tWuQafoZqw7J9QEB0ePUFfjos3W\nUpH71JrCKrXuPBF2o6DgNDloMNejU3RZM+dANEgwFppzMxgky/U1elNZMmdP2INe0RdcniiXzEEk\nfmkIE0KI8vLnOS5yOrOhhjXOlfR6+9PZEkC3p5dALMjWhk1zziZzaTDXYzNaKzZjeyLswWlyoNfp\n0ev0NJrrs+51LlczmMZisJQlOGv3P5eJZaXQjo6cCLsJylYqIYQoL1/Uj1FnwKQzFvX4TXXrUVE5\nNnEi/bUDI8mS9pYKlbQhuc65ytHJSGgMT9hX1murqoo77E5ngwDN1kb80QD+VDe7RmsGqy9D5gzJ\n7VRzLWsn1ASeiHfeStowNXOu1hOpQIKzEGKR8kf92HIcepFNtv3OB0YPo1f0Rc10ngtt3fnkWE9Z\nr+uL+omp8XQ2CNCUWneeXtoeTU0Ha5xjp7bGojcTjIeKPvErG380QFyNz2twrsvYTjW5lUqCsxBC\nlIV2IlWxVjs7MemM6XXnibCbPt8AG1xr0w1OlaKtOx+fFpxP+U7z0+NP8Lv+F2Z1Xa1T25UR3Jot\n2ZvCyl/WNpNQE0QT+c+PzsejbaOahwEkGlfGIJJALIhZXzNjLno1qK4DLIUQogjReJRwPFJScDbo\nDKx3reXg2BHcYQ8HR48CsLVhU6VuM21laoznibFudtTu4LXBXbx05nX6fQPJe1P0XL7i4pLXvbU9\nzi5TZlk7+17nck0H02RupzLpTbO6xuQ2sMpvo9LUZYzw9EcDJe1tn08SnIUQFReOR3ju1ItcvuIS\nTPri1ojz0bpsS+3w3VS/noNjRzgyfrziW6gy1dY4qKtxsfvMQXadPkBCTaBTdJzduIXR4BgD/jME\nCpywlY02hjKzLNxk0craU5vCRkNjWAzmsp1drFUbgrHQrMvS8zm6U2M1WDDqjMmGsFiwbJWEcpPg\nLISouFcHd/Ho8f/FbKjhsjzjLoulHXpRTKd2Jm1t+eDoUQ6PHaXRXJ93wlc5nVW/gRdOv8IqRycX\ntp3Lec2HJeSJAAAgAElEQVTbcZjsfP/wTxjwn8ET8ZYcnNPTwTLWnOvMtRh0hillbVVVGQ2Np4eU\nlEM55mt75nmPM0wOIhkLjhOKh7FV4ehOkOAshJil/SOH6HSsKOoXq1a+HA6MluW1J0d3lhacV9jb\nsBmtvDa0m4Sa4KK28yq2hWq6d2z8U951/vUk/FN/7TpTk7HcYU/Je60zp4NpdIqOJksDQ4ERVFVF\nUZTU0I1I2ZrBACz6ZDl4LiM853OudiZXTS1DqQ8v1biNCqQhTAgxCyPBUb6+9z94ovtXRT1ea/wZ\nCZYnOJcyujOTTtGx0bWOhJoA5qekrTHqjTRYZ673OlPrrdrfUSkmp4PVTvl6s6WRUDyMN5rculXu\nZjAozwjPhShrA1O626uxUxskOAshZmE8lDwPdyy1PacQbyQZJMoVnCdPpCq9JKmN8jTqDGxInVi1\nkLTMebbB2WKwUDOtIWt6U5jWDFauPc5QnjOdJyLzOx1Mk/lhxiKZsxBiqfCmMldvuLiA4kk9bjg4\nNqd9sZrZlrUBzqrbCMCmug1laU6bK2cqa5xdcPZM2UalabJOPQBDy5wby5g5ZzaEzZYnnBxAMl9L\nC5q6Glf6z7LmLIRYMnypTLjYgOJNPS4UD+GPBeZ8KtJsy9qQDFwf2PE+Wq3Nc7qHcklnziVODwvH\nIwRjQVan9lBnmr7XWRtAUonMebbBOaEmcEc8rHJ0lO2eipXZQFeta84SnIUQJfOmg7MvvS0on8wg\nPhocm3Nwnm23tmZz/cY5vX45OU12YPIDTLEmsmyj0kyWtZPbqcp1jnMm8xzL2v5ogISamPdmMJha\n1pY1ZyHEkqGVtVXUdIk5l1AsTCRjitRwGdadtbnR1VqSLIVRb8RisKSPTixWehvVtGYwSGbjNXrT\nlLK23Wgr6yQ0rVs7OMtu7YkF6tSG6cG5Ov8NSXAWQpRMK2vD5HpyLlrW7DAmM8SRVBY3p9eP+qnR\nmzBWwZpxOThNjpLXnMdDWuY8MzgrikKzpZHh4CgJNcFYaKKsJW2Ye0OYtsfZOc+d2pBcDjEoyZGd\n1VrWluAshCiZtkUHCq87ayXwtbWrgPJ0bJc6V7vaOU12/NEAsUSs6Oe4s8zVztRkbSSaiNLr7SeW\niJV9EtZcG8IWao8zJD+8aNmzZM5CiCXDG5ksZbsLBGcteK+uXYmCMufgrKpq+kSqpUJrCvNGim8K\nm4hoe5xdWb+vNYUdGj0GlG+mtsagM2DUGeYcnF0LkDnD5Iztas2cpSFMCFEyX0bmXGg7ldboVG+u\no7bGOeeydiQRJZqILanMWcsePRFvOmgUku1EqkxaU9ihseQBH+VsBtPM5Uxn7UPdQmTOAH+46o1s\nqFs373usi1Wx4ByPx7n77rvp6upCURQ+9alPsXFj9XRICiFmJ56I448GMOtrCMXDBcvanlQ26DTZ\nabTUc2Kim2gihlE3u18/Wqf2UsycS1l3ngi5MSj6nB9StHOduzzJYyorccCDxWCec+bsnMcTqTJt\nbThrXifElapiZe3f/OY3APzgBz/grrvu4r777qvUSwkh5pE2navd3goUDija950mB42WBlRUxuaQ\nPaf3OJuqM+OZjVkF57A77wCP5lRw1kaVlrusDcmO7WAslH6NUrjDHgyKfkl03FdCxYLz1Vdfzac/\n/WkABgYGcDoXpnQhhJjq9wMv8bMTv5j187WSdputBQWl6IYwh8lBozk5uWokNPvg7JvDAJJqNTmI\npLjgHE/E8US8M2ZqZ7IbbVP28Ja7WxuS/wZiiRjHJ7pKfq474lmQ6WCLRUXXnA0GAx/96Ed56qmn\n+MpXvpL3sXV1VgwGfVlfv6lpYcolC0He69JU7veqqipPPP8UEyEPf7DpElbXlT6d6UziFADtdU04\nRm344r689xlM+NHr9Kxqa2ZtdAV0QUjvn/KcUt6nzp/M0lrrGhblv4Vs9xwwtsAeiOhDRb2n0cA4\nKiotzvx/B+3OFo6PdeMyO1nRWv6y9lu3XMGLZ17ltdHXuWzjjhnfz3VvCTWBJ+Jlff3qRfkzzKbc\n76PiDWGf//zn+fu//3tuuukmHn/8cazW7CWM8fFAWV+3qcnB8HDps2oXI3mvS1Ml3utIcIyJUHKt\n77EDv+bmTdeXfI3+oSEAdFEjdoOdscBE3vscC7hxGO2MjPgwRZP//3cPDzDsSj6n1Pd5eizZ7a2G\n9Yvu30Ku9xqPJBOTIfdYUe+pyz0AgBlr3sfXGeuBbupMdRX5u2pQW2ixNvFi/y7+eGBwSnNVvp+r\nJ+IloSaw6myL7meYzWz/X80X0CtW1v7pT3/KN7/5TQAsFguKoqDTyc4tIRbSSXd3+s+vnHmdUCxc\n8jW86TVfO7U1TkLxEJF4JOtjVVXFE/Gmy7ZNlmRZey5TwibL2ktnrdJmtKJTdEWvOeebDpapOXUA\nRoOl/CVtSO4XvrT9QmKJGC+feb3o5y3kHufFomLR8pprruHgwYP8xV/8Bbfddhsf//jHMZvNlXo5\nIUQRuty9AGyp30QoHua1od0lX0ObDuYw2jMambLvzw3Fw0QTsfT8aJvRillvTs96no25nEhVrXSK\nDofRXvSa83g493SwTNp2qkpso9Jc1HoeekXP8wMvF33i2ELvcV4MKlbWtlqtfPnLX67U5YUQs9Dl\n7sagM/COTX/KP7/wBZ479RKXtV9U0jW06WAOky0jOHuyHkeY2akNyUyr0VLPUGAYVVVn1Qzkn+Oh\nF9XKWeNg0D9U1N/L5HSw/MF5W8NmLmu/iEvaLijbfU7nMNk5p3ELu4b30ePtY7VzZcHnaHPEF2ob\n1WIgdWYhlolQLEy/7zQrHR00WhrY1ngWvd5+er39JV1n8kQoezojzpXxZXZqaxotDUQS0ZzZdsHX\n1zLnJbYFx2lyEElECccLLzVoJ1IVCs5mQw3vPOvP0uc7V4r2Ae/3p14u6vFS1i5sSQbnocAIR0dO\nLvRtCFFVer19qKjpGddvaL8YgOdOvVTSdbxRHzpFh9VgwZkx2Sqb9KEXqSAOpDPs2Y7x9EcDWAwW\n9Lry7u5YaFp1odA4VMg8LrI6Ms9N9eupN9fx6tDuoiaGpYOzlLVzWpLB+X9OPMEnf/2lspx+I8RS\ncdKdnBS1JhWctzRsoq7GxauDu0oaweiN+NINTIWGZ0wva0Myc4bZB+fkoRdLK2uG0vY6T4STHfCG\nWU5ZKzedouOStvOJxCO8NrSn4OMXenTnYrAkg/P2pm3E1QRP9f52oW9FiKqRDs7OZHDWKToua7+Q\ncDzCK4PFN4b5ov708Y+FgrM2d9tZpsxZVdUldyKVptgpYaqqMhH25JypvVAuabsABYXnB14p+Fh3\n2INBZ5gyJEVMtSSD83nN22mxN/HiwCvp8o8Qy1lCTdDt7qXRXD+lFHpJ+wXoFB2/P/ViUZ220USM\nYCyULlOnS7E5sr3JudoZA0e0zHkWU8JC8TAJNbGkOrU1WnNUoeAciAWJJqK4zPnXm+dbndnFloZN\ndHt6OeU7nfex7rCHWpNMB8tnSQZnvU7P9ZvfTEyN86veZxb6doRYcEOBEfyxQLqkrXHV1HJ2w2b6\nfANFNYZp26i0zNViMGPUGXJnzlFtzXkyONfVuNApulllzv4lOLpTU2zmPFHkNqqFcFn7hQA8P5C7\nMUybDiYl7fyWZHAGuGLVRdTVuHju1EslnZEqxFKklbTXTgvOAJet0BrDXix4Ha1TWsucFUXBaXLk\nXnMO+zDoDFgMkzMO9Do99TWuWfWEpDu1l9ChF5rig7O2R7j6gvO2hs04THZePvM6kXg062O8ET8q\nKrWm6mhmq1ZLNjgb9AauWfVGookov+57dqFvR4gF1ZVuBls943ub6zfQYK7j1cHdBGPBvNeZ3Bo1\nuYbsNDnwRnxZTybyRLw4jPYZ5ctGSwOeiJdwjsliuaS3cS3jzFmbDlZtZW1IfvC6pO0CArEgL/fv\nyvoYd0TL/CVzzmfJBmdINig4TQ6e6f89/mh5Z3cLsZic9PRg0ptot7XM+J5O0XFp+0VEElFeOZP9\nF6rGO62sDcmgElfjBKJTA7uqqngj3qyDJrSmsFInhWn/Hy/F4Gw21GDSmwp2a4+n9zhXZ3DTBp48\nffL3Wb8ve5yLs6SDs1Fv5OqVVxKOR/htf/Z/KEIsdYFogDP+QVY7V+bcG3xJW7Ix7MUzr+W91vSy\nNoAjRyNTMBYipsandGprGmc5Y3spju7MlG+JQOMucgDJQmm2NrLetYYDQ0cZC43P+L724UP2OOe3\npIMzwBtWXIzNaOU3fc8RLGEvpxBLRZenD8i+3qyprXHQZmvhtH8wb9d2trJ2bY5ybLY9zhotOI/O\nMjgvxcwZ8i8RaNJrzlWceV7Yci4Ar2bZojcRkcy5GEs+ONfoTbyp8wqCsSDP9r+w0LcjxLzrSp1E\ntabAzOMmSyOReCTvWE1trvb0sjbMDM7eyMxObc1k5lxqWXvpnUiVyWlyoKKmP4RkMxF2U6M3YdZX\n70FCO5vPxqAzZF0mkbJ2cZZ8cAa4suMSLAYzT/f9ruQGFCEWu+mTwXKZPM5xJOdjtIas6Q1hkDtz\ndmQta6cGkYRKzZyTa862JXbohaaYKWETYTeumtqq3iNsNVo5t20bA/4zM/Y8y+jO4iyL4GwxWHhj\nx2X4on5+P1DaHGEhFrOEmqDb00urtRlbgWyzmLOWvVEfBkU/JWvTGr60X7qabANINBaDGbvRVvJe\n54mwG72iX7KTpWoLDCIJxyP4o4Gq3OM83RtWJRvDpmfPnogH47TtdWKmZRGcAd7Y+QZMehPP9D+/\n0LcixLwZ8J0hHI8UzJqB9MlF+QKmL+LDbpq6NUrLgEpZcwZosNQzFhwnkci9vppJVVWGAsM0WRrQ\nKUvzV1eh7VR93lMArLC3zts9zda57WdjMZh5ZXDXlDV0mQ5WnKX5LzwLu9HGRtdaRoKjOUcNCrHU\ndHlyDx+ZLr0OHMhd1vZG/TimNWPZtWMjp61Ve9OZ88yyNiQz9ZgaZyw4UfDekq/tIxgL0WJrLurx\ni1GhsnZ6v3oRZyYvNJPeyM6ms5kIuzk+0QVo08F8st5chGUTnAFWpwb+d3t6F/hOhJgf+SaDTeeq\nqcWgM+Qsa4fjESLxSDoYa4w6AzaDNc+ac/bMudGcXHce9Of+MJBp0D8EQIu1qajHL0aFMmftd5f2\nu6zaXdC6E5gsbXsjPlTU9FGjIrdlFZzX1CY/bWqfPoVY6k66e7AYLDQXEdB0io5Gc33O4OzLso1K\n46hx4Jm25uyNeDHqjJj1NVmvp2Xqg77hgvcGMBhIPq6Y97JY5Tv8QlVVutw91Joc1Jtd831rs7Le\ntRZXTS27hvcSjUfTfQkuaQYraFkF51XOThQUyZxFVYvEozx24hd4QnNbfvFGfIwER1lTu7LoNdom\nawPBWDDrRL18e4xrTY7UaUmx9Nc8ER9O08zRnRqtY/tMicG5dQkHZ+0ozmzBeSLsxh3xsrp21aJZ\nr9UpOs5v2UEwFuLA6GHcsse5aMsqOFsMZtpsLfR4+ogn4gt9O0JktX/0EL/o+TW/PPG7OV0nXdJ2\nri76OY15tlNlG0Ci0cqx2t7m5OhOX85msMzXGvIVWdZOBeelXNbW6/TYjbaswbkrlVQshvXmTBe0\npErbg7vSA1Ty/bsQScsqOAOsdq4kkogy4B/M+7h4Is6Pjv6Uw2PH5unOhEjSBm10TxQ+wjGfycMu\niv9l3mRpBGA4MLO0nQ7OxtzBWQsqgViQuBrPud4MyezJoDMwWEJwdhjtWJfoABJNrhGe2s9z9SIL\nzivsbbTbWtk/cijdNyCZc2FFBee9e/fyH//xH0QiEd773vdy8cUX8+STT1b63ipC21JSaN352MRJ\nnul/nqf75pa9CFEqf+oAid6JU3O6zgl3FzpFx2pnZ9HP0fY6Z9tOlS5rZxkAkl4rTXUZ5xtAotEp\nOhrM9UU1hEUTMUaDY0t6vVnjNDkIxkIzjlzs9vSiU3SsdHYs0J3NjqIoXNCyk5ga54XTrwLVPXq0\nWhQVnO+55x62bdvGk08+idls5r//+7958MEHK31vFaFlEYXWnQ+MHgbgTOqTnhDzJZBa7x30jRCK\nhWd1jUg8Qo+nn077CswlDHtIZ85ZgnMxZW13Kih7C+xxnny9enwR/4wTraYbDoygoi7pkrYmW1NY\nLBGj13uKFbZWavSmhbq1WTuvZQcAoXjyfAPJnAsrKjgnEgkuuOACfvvb33LNNdfQ1tZGPL4412xb\nrE2Y9eb0/s9ctOA8Fhqf9S9IIWZDa8ZSURnwn5nVNU66e4ircdbXrSnpefVmFzpFl33NOVp8WVvL\noHPtcdY05MnUM6XXm23LIDhn2U7V7xsglogVNUymGjVY6ljvSv5bTHbwy3SwQooKzhaLhW9/+9u8\n9NJLXHXVVTz00EPYbItztq1W5hsKjOQcLj8cGE3/MgAYDEj2LOaPPzbZKX3KNzCraxyfOAnABtfa\nkp6n1+mpN9flXXOevs8ZsgTnaO7RnZnaUudL9xd4n8uhGUyTLTh3ubX9zYtrvTmT1hhWWyPTwYpR\nVHD+4he/SCAQ4Ctf+Qq1tbUMDQ3xpS99qdL3VjHap89ud/bStpY1d9rbAThdoHlMiHIKRDOD8+wy\n5+MTXSgorKstLXOG5LqzN+ojNO2IVV/Uj0lnzFpW1Uqx3vDUzDlfQxhMBptCy0xD6eC8dKeDabJN\nCdP+fkpp7qs25zafg0lnpNnauNC3sigUFZzr6uq4+uqrOffcc3nsscdIJBLodIu30bvQurMWnP9g\n5ZWArDuL+eWPBTHra9ApulllztF4lC5PLyvsbViNpR8Q0ZTjOEdvxJezwctmsKJX9BlrzsVlzu22\nFkx6I92pM6dzORMYQq/oaTDXFfUeFrNcmbPNYE33BCxGVqOVj17wIW4568aFvpVFoagI+5GPfIQn\nn3ySPXv2cP/992O32/nYxz5W6XurmFWp7tWuLJlzOB7h6MQJ2m2tbG7YCMDpWa77CTEbgWgAp8lB\nu6OFU77TUw4NKEa3p49YIlZySVuT7ehIVVWTh15kWW+GZEdu5hagYrq1IVlGX1u3Mn1ARzbpAy+s\njeh1+pLfz2Iz/WQqT8TLaGiM1bUrF305uNXWIs1gRSoqOPf393PnnXfy5JNPcsMNN3DHHXfgdrsr\nfW8VYzfaaLY20u3pm/GL7+j4cWKJGNsaN2M32nCY7JyWzFnME1VVCUQDWI1WVrlWEI5HGAuNl3QN\nbb15fd0sg3Oq7JjZpBWKh4mpcRx5zlHWgnNyAIkXk96E2ZB9dGem9fWrUVHTJy5N54mkDrxYBuvN\nMDNz1pbfFtvwETE3RQXneDzO2NgYTz/9NG984xsZHh4mFAoVfmIVW+NcRSgemlGyPjB6BICtDWcB\n0GZtYSw0nvNTvRDlFElEialxrEYLq1zJ/az90w6rL+SYFpxnsd4MGZlzRlNYvmYwjbPGTiwRIxgL\n4Yl4cebIsqdb35C8z1zLTEOBpX/gRSaLwYJB0afXnNOTwRZpp7aYnaKC82233cZNN93ElVdeycaN\nG7nlllu44447Kn1vFZVt3VlVVfaPHMJisKQ/pbbaWlBR05NthKgkrRnMZrCxOhWcT3mLX3eOJWKc\ndPfQbmvNOiykGA3mehSUKWVtX55tVJrJvc6e5NGSRY5o3NCwGsjdoHlmGXVqQ3KJwJGxRNDl7kFB\nYdUiGz4i5sZQzIOuu+463vzmN9Pd3c2hQ4d4/PHHMRiKemrV0o5c63L3cmn7hUCyK3s8PMF5zdvT\na1vaVo/T/sFFN5lHLD7aHmeb0cJK1woATpWQOfd6TxFNRNN7SmfDqDfiqqllJKMhzBvJPR1M40yd\nNHTaP0hCTaQ7uAtptNbjMNpzNoUNLbPgDMnu937vAPFEnB5vP622ZiyG0pv7xOJVVITdt28fd955\nJy6Xi0QiwcjICF/72tfYvn17pe+vYpJdoqYpmbPWpa2VtAHaUge7n5G9zmIeBFJ7nK1GK3XmWuxG\nW0nB+fh4qqQ9y2YwTZOlgaMTJ4jEo5j0xsnjIovInPtTmX6hZjCNoiisru1k38gh3GFvuiFKs5z2\nOGucJgdxNc4JdxeReETWm5ehosra9957L/fddx+PPvooP/3pT/nqV7/Kpz/96UrfW0XpdXpWOTo4\n7R8kGEuODjwwehgFhS0Nm9KPa01nztKxLSpPm6ttM1hRFIUV9jZGQmMEY8X1eKTXm+cYnLUTo0ZD\nyexZmw6Wf805GVS17V+lnDy0ypEMPj1Z1p0H/UPL4sCLTNrf3Z7hAwCsXsT7m8XsFBWcA4HAlCx5\nx44dhMOLf6TlmtpVqKj0ePoJRIOccHez0tkx5RO/w2THbrRJx7aYF9qas7Y/eYW9DYCBIoaRxBPJ\nTKvF2jQj+yxVk1VrCkuuO/tSZe1C3dow2cBWaHRnptW1ye2N00vb0XiU0dD4sjjwIlPttOC8xinN\nYMtNUcG5traWX/3qV+n/fuqpp3C5XBW7qfmiTSfqcvdyePwYCTXBtoyStqbN1sJocGzGKTFClJs2\nutOWyhK14FxMabvfN0A4Hplz1gyTB2Bo26nyzdXWaAFlIpzcZlla5pwMzj3TgvNwcBQVldZlMFM7\nk1aFGA9PYNababUt/cloYqqi1pw//elP85GPfIRPfOITAHR2dvIv//IvFb2x+TDZsd2T/iW0NUtw\nbrW1cGziJIOBITodK+b1HsXyop3OZDVowTk5QraYSWHHZjlPO5vJQSSp4FzEVqrp3dnFdmtDslLQ\nYm1Kzx7QKcm8QVtvXm6Zc+YHm9XOzvTfh1g+8gbnW2+9NT2Rxmw209HRgaqqWCwWPvnJT/Ld7353\nXm6yUpwmBw3merpS56Q6TPaswTezY1uCs6gkf+owFluqrN1qa06N8SycOaeHj8yhU1vTaKkHJoOz\nL+rHrDdj1OX+lWHSG7EYzOn18VIyZ0hWsl468xpDgeF0r4d26EzrMpipnWlKcJb15mUpb3D+4Ac/\nOF/3sWDW1K7k1cHdAFzcen7WT6jpjm1ZdxYV5k81J2rNT0adgVZrM6f8Z6ZklNMl1ATHJ7ppNNdT\nZ577kpPZYMZhsk/JnPOtN2ucJkdGcC5+zRmSY3VfOvMa3Z6+jOAsmbN0ai9PeYPzhRdeOF/3sWBW\nOyeD89bGmSVtyOzYltOpRGWlG8Iy9rSusLcx4D/DSHAs54k+p3xnCMaCbG/aWrZ7abI00u3pJZaI\n4Yv6aTDXF3yO0+RgMDCMWV+DKcvpVfmsdk42hV3cdj6QDM6GZXLgRSbHlLK2BOflaNkvZGjrzjpF\nx+b6DVkf4zDasRmtnJHgLCrMHw1gMVimZMjFNIXN9vzmfJosDSTUBP2+ARJqoqh9y1rGV+we50wr\n7G0YdIb0dipVVRn0D9O4TA68yGTSG6k1OWi1Ns960ptY3Bb3mK8y6LC34zDaWensyDmBR1EUWq0t\nnHR3E41HMeqN83yXYrkIxILYpv07nAzOA+xsPjvr88rZDKbRmsJOunuA/NuoNFqXcSnNYBqDzkCn\nvZ0ebz+ReJRgLEQoHqLFur7kay0Ff7v9trxr/GJpW/Y/eYPOwCcu+nDB/wnabM2ccHcxGBimw9E+\nT3cnlht/NJBuQNRMdmxn3+ucXG8+SV2NiwZL4dJzsbTg3JUKzrmOi8ykZc6lNoNpVjtX0uXppd93\nilgiDiyvyWCZ5PfM8rbsy9qQLMGZDea8j2mztQJUXWn7tcHd7Bs8vNC3IcogEo8STUTTe5w1tTUO\nHEZ7zu1UZ/xD+KMBNszyiMhctKMjtXPPSylrl9oMplmVse68HMd2CqGR4FwkbQjA6Sqase2N+PjO\nwR/w4Kv/udC3IsogPVc7y/LKCnsbo6Hx9KjZTEfGjwPl2UKVSRvhOR6eAMBhLFzW1oaXzDaD15qf\nut29GQdeLK9tVEKABOeitVVhx/ae4f0k1ASDvuH08AqRdNo/yOde/req+nkVov0Mp2fOkLnuPLW0\nfdLdw89O/ByDzsCW+k0znjcXNqN1ygeFfANINOtcq/nAjvdxxYpLZvWajZZ6bEYrPZ6+9GEzkjmL\n5UiCc5GcJgdWg6Wqytq7hval/9xfxASp5eSl06/R5xvg8Nixhb6VovmjkydSTZetY/uU7zQP7Pk2\nMTXO+7bdUpb9zdNpmTAU34G9uX5jyduoNIqisMrZyUhojB5PX+rACzkqUSw/EpyLpCgKrbYWhoOj\nRBOxhb4dfBE/RydOpLfc9HlPLfAdVZej4ycA0gfWLwZaWXt6tzZM7dgGGAqMcP/u/0cwFuTWzTdx\nduOWitxTY0Z5upiGsHJYnZqz7Y8GaFlmM7WF0FQkOEejUT7ykY/wzne+kxtuuIGnn366Ei8z79ps\nzSTURHotbCFpJe1L2y4AoM8rmbMmGAvS6+0HwBNePMFZOy4yW+bcamtGr+jp951mIuzmq7v/H96I\njxs3/gkXtp5bsXtqyhh6Yp+nIxszx1VKSVssVxUJzj/72c9wuVz853/+J9/61rcW/dnPmmrq2H59\naC8A16y6CovBTJ9PMmfN8YkuVFSg+Mx599A+vrr7W0Wfm1wJgWknUmUy6Ay02poZ8J3h/t3fYjQ0\nzrVrruGNHZdV9J607VQ2g3XeBoFoHdsgzWBi+apIcH7LW97CnXfeCSSn/Oj1S2O6T7pje4FnbGsl\n7VXOThos9ayu62DQP0Q4HlnQ+6oWWkkbig/Orw7t4dDYUV48/Wqlbqsgbc05W3CGZGk7mohyxj/I\nVZ1v4C2r/6Di96StORfTDFYudqMt3SkumbNYrioyhMRmS2658Pl8fOhDH+Kuu+4q+Jy6OisGQ3mD\neFPT3A6cn05vWwe7YSw2WvZrl2LPiT0k1ASXr7mApiYHa1ydHBo+TsDgpqOxvHtdq1Ghv/uuXd0Y\ndAacNXZ8MV9RP6tgInka1PNnXuLGnW9Jn8Y2nxLdyfPCO5qbaHIm7znz3re2reflM6/zxtWXcPuF\nf9eIu/gAACAASURBVD4vxwga7Svhdai3OSv6b376tbe1buSZ7hc5e+V6Gm0L9/9aJSzk7475Ju91\n9io2Iez06dPccccdvPOd7+S6664r+Pjx8UBZX7+pycHwcHnXG1VVh1lvpmfsVNmvXYrfnXgZgI3W\njQwPe1ldlywD7us7Rp26tDONQj/XQDRA93g/61yrUVWVk+4eBofcBQPZiG8cgAHvIM8d3cVZOeas\nV9Ko1w1A2KsyHPbOeK/bndv5wA4nG13rGB3xz8s9qarCm1e9iVXOjor9m8/2M31rxzWcV38uasDI\ncGDx9A0UUonfS9VK3mtxz8ulIsF5ZGSE9773vfzTP/0Tl1wyu/2O1UhRFNpsLfR4+4glYhgWYO5t\nuqTt6EwPelhbl2ygkY5tOJZab97oWsdp/yAqKr6oP+84SVVVcUe8mPVmQvEQv+t/fkGCc/q4yBwz\n3o16I5vrN87nLaEoCn+87i3z+pqQLG3ba+XAB7F8VaQu9o1vfAOPx8MDDzzArbfeyq233kootHCN\nNuU02bE9siCvv2ck2aWdeQDCCmcrRp1BgjNwLLXevLFuXfoQhkId28FYiGgiynrXGlY6VrB35CBj\nofGK3+t0gWgAs75m2Z3AJISYqSKp3913383dd99diUsX5UD3GKHjo5y3vqHs19bOdj4TGKLd3lr2\n6xeiDR7Z2XxO+mt6nZ52exv93oEFy+irxdGJExh1BlbXruKEuxtIjjnNxxPxAFBb42RH0za+d/i/\nePbUi/zJurdW+nan8EcDWbdRCSGWnyU5hOTZPQN87cd7ONY/UfZrt6e2U7185jUSaqLs18/HF/Vz\nZPw4Kx0dU4ZDAHTa24mr8UU1rrLcfBE/p3ynWVO7GqPOkJ5oVahjeyKcCs4mB+e17MBmsPL8wMvz\nPmwmEAtkHUAihFh+lmRw/oPzOgD4yTMnUVW1rNfeWLeO9a417Bs5xPcP/6Ts189n7/ABEmqCczOy\nZk2nYwWwvNedtTONN7rWAZMnJBUKztr3a2ucmPRGLmm/AF/Uz67UXvL5EEvECMcjkjkLIYAlGpw3\ndLg4f3MLR/smONA1VtZr63V63n/OX7LSsYLnT7/Co8f/d94CtDZ4ZGfe4Lx8J4UdzVhvhuKDszs8\nWdYGuHzFJSgo/K7/+Urd6gyBWO7pYEKI5WdJBmeAd71tM1CZ7NliMHPH9vfRam3m133P8vPuX5X1\n+tnkK2lDstyuU3TLOnM+OnECk87IKmeyclJ0cNbWnE3J4NxoqWdrwya6PL30evoreMeTAtHcc7WF\nEMvPkg3Oa9pruXBzMz2DXl47Uv5Z2HaTjQ/u/CsazHU83vUUv+l7ruyvkSlfSRuS22zabC30+wbm\nfS28GngiXs74B1nnWpNuiEuvORfo1tYyZ627G+CKjksBeObU/GTP+eZqCyGWnyUbnAGuv3wtOkXh\nv589STxR/oDlqqnlgzv+mlqTgx8f+xkvDLxS9tfQZOvSnq7TvoJoIspgFRzMMd/SW6hS682QnEdt\nM1qLKmsrKDgyTl3aXL+RRksDrw3uxhet/MCPfHO1hRDLz5IOzi31Vt5wThunRwM8v/9M4SfMQpO1\ngQ/s+CtsBiuPHP4xX3z1a3z/yKM8e+oFTrp7CMXCc36NQDTI4fFjdDpWZC1pa5ZzU5i23ryhbt2U\nrztNjiLK2l6cJvuU/cU6RccVKy4hmojNy7zt9FnOBgnOQogKju+sFn982Wqe33+Gnz3XxcVbWjEa\nyv95pN3eyh07buP7h39Cj7ePLk9P+nsKCk2WBta6VrPetZYNrjU0mOtLmt28f/QQCTXBjqZteR/X\n4WgHksG5HMcIjocm+Hn3r/jjdW/FbqzuaU3HJk5i1tewMvUBReM0OTjtHySaiGHMsv9bVVXcYU/6\nUJNMl7Sdz2Mnn+TZ/hf4g84rKjpvO73mbJQ1ZyHEMgjO9U4zbzp3Bb98pY/f7j7FH57fWfhJs7DK\n2cnHLryLaDzK6cAgp7ynOeU7Tb9vgD7vAC+efjWdgblqalnvWsOOprOnTPrKZc/wfgC2FwrO9jYU\nlLJlzs/0P8/vB16m0dLANauuKss1K2Ei7GYwMMzWhrNmTNfSmsK8ES/15roZzw3Fk9PBtGawTFaj\nlbMbN/P60F5GgmM0Wcs/1EYzObpTMmchxDIIzgBvu2QVz+wZ4PHnu7n8nDbMpsq9baPeyEpHBysd\nHemvJdQEp3xnOD5xkhMTXRyf6OLVwd28Oribu3a+nw11uU+SisQjHBw9Qou1idYCZ9uaDWaarY30\n+wZQVXXOmd7x1L7hfSOHqjo4HxtP7W+eVtKGyaYwb8SXNThPbqPKPnt7tXMlrw/tpdfbV9HgHChw\nXKQQYnlZ0mvOGqfVxJsv6MQTiPKrV+dna0wmnaKj09HOVZ1v4H1n38pn3/CP3H72uwH4/cDLeZ97\naOwokUSU7U3bigq2HfZ2grEQo6G57e8OxcL0eJN/V13uHnyR2TdFDfqHOOnuKfzAWTqapRlMU2g7\nlTvVyZ0tcwbSH7K0v4tKSa85S1lbCMEyCc4Ab75wJXaLkSdf7iUcjS/ovSiKwtmNW2i2NLJ7eG86\na8pmz/ABgILrzRqtKax3jqXtLncPCTWB1WBBReXA6OFZX+s7B7/P/bseJJ6ozN/70YkTWAzm9Jp7\npnRwzrGdStvj7KzJHpw7He0oKBXf7ywNYUKITMsmOFtqDLxx5wr8oRgvHqhM53YpFEXh0vYLiSZi\nvDy4K+tj4ok4+0YO4qqpnVImz0cLzv1znBSmjcJ88+o3AbBv9NCsrhOKhejzDhBJRBkJjs7pnrLp\n8w4wEhxlvWtN1jOb0ydT5cyck8HZlSM4mw1mWmzN9HlPVXT/eCAWwKgzYtIbK/YaQojFY9kEZ4Cr\ndq5Ar1P41Wv98zoTO5eL2s5Dp+h4fuDlrPdzbOIkgViQ7U1bi14/Ltd2qmMTJ1FQuKz9IhrN9Rwa\nPUJsFgdB9Hj6UUm+tzNl3H+tqirPD7zMv772NQDOa96R9XEFy9pa5pznvOdVjg5C8XBFjwn1R4Oy\n3iyESFtWwbnOUcN5m5o4NezncM/8n9c7ndPk4JzGLZzynaY3y5qm1qVdbEkbkg1F9eY6er2z/wAS\niUfo8fTR6WjHYjBzduMWQvEwxye6Sr5W5rayoTIF50A0yL8feIRHDv8Yvc7Abdtu4YLWnVkfWyg4\na+Xu2hyZM0yuO2f7GZVLIBaQ4CyESFtWwRlIb6X61Wvz3xiWzaXtFwLw/LTGsISaYM/wfmxGK+tq\n15R0zU7HCnxRfzorLFWXu5e4GmdDqsFqW2NyTvn+kdJL210ZjWBnAkOzup9Mh4eP85mX72PX0F7W\n1a7m4xfelXOkKSQ/rOgUXc7gPJFlOth0K1Ozuiu17hxPxAnGQlhlrrYQImXZBee17U7WtDnYfWyE\n4YngQt8Om+s34qqp5dXB3VOmifV4+nBHvJzduGXG3t1COu1zK20fm9CmbSW3eK13rcGsN7Nv5GBJ\n2biqqnR5enHV1KJTdAz655Y5/6L7aT75m39lIuzmbWv+kDt33p51e1QmnaLDYbTnbAjzRDw4pk0H\nm67D3o5O0dHj7St4j3uHD3Bw9EjBx2UKxkKAbKMSQkxadsFZURSuPq8TFXi6CrJnnaLjkrYLCMXD\nU84P3j2LkramM2NS2Gxo681axm7QGdjcsJGR0FhJ2e9QcAR/NMB61xqaLI0MBoZmXWo/MdHNYyef\npN7i4q5z388frfnDoj+0OGuSIzynv7Y2Haw2z3ozwP/f3n2Hx1ldiR//vu/0olHvzWqWe7exAzYl\nlEACBELNhhKSLCTkl/ZzAmxCAo5hKcnuBpLfPkDI7gZYYtaQQljTQjHFNo6xbMuWi2RZsqqtLo00\n/f39MZqxZEtWseQZjc7nefRIHs28c69G1pl777nnGvsPFTna3XDajPMer5Nnyp/jN7ue5U+V/zvq\nBDKnTzK1hRCDTbvgDLB8dhrxNiMf7G7E5Rl7ktNEW5W5HAWFjxuDU9uaprHreDlGnZFZiSVjvl4o\nKexI18gjvZN5/V6OdB0l2545aM/t/OTg1Paeln2jvlZoSrvAkU+GNZVeX9+4D5HY0hg8VORbK26l\nOGFs0/xxRjuegBe3f3Cdc5ffjSfgPe16c0h+XA7egPe0b072tR4goAXQKzreqn2P/7frd+EtUqcj\nBUiEECeblsFZr1O5YHE2fW4fWybpQIyxSLYkMiuphMOdNTQ6m2lwNnG8r5W5ybMwjGNrTbzJQbo1\njUPtVXj93jE99khXLb6Aj5KEwVXL5ibPQkEZ07pzdVctAAXxeaT3165uco593dnlc7Pj2C6SzInM\nTZs55sefSArrGXT7iepgIwfn0aw7h964fGfxncxLnkVF20Ee2/4E9T2Np722FCARQpxsWgZngAsW\nZUXVtqqBiWHjydI+2dzkUjwBL5WdY8uwDu1vPrmkqN1ooyA+n8OdNaMe/VZ31mBQDeTYs0i3pgLQ\nPI6ksJ3HduPxe1iZuWzIvcwjGS5juyu8jWo0I+dgIuFwlcJ8AR/7Wg+SbE6kMD6fOxfczuUzPkuL\nq41f/P3XfDpgyeJkvf11tW0yrS2E6Ddtg3O83cSK2Wk0tvay98iZlbqcCAtS5mA32NjWtINPj+1G\nr+iYmzxr3Nebk1wKMObkpFCd6qIhpo7np8wOVgtrGblamMvnoqGniby4HHSqjvT+uuDjOWt6S+N2\nFBRWZiwb82Nh+ODcMYaRc6Y9A72iG3bkXNlRjcvvYl7KHBRFQVVUvlB4Gd+YfyuKovBs+fN8UL91\nyMeeGDlLcBZCBE3b4AxwcWhbVQTqbZ9Mr+o5J3MpTm8vjc5mSpNKsOjN475ecUIhRtUwpuDsDfio\n7qohy5Yx5BGR81PmAKOrFhYqPlIQnwcQHjmPdTtVc+9xqjqPUJpYTLLl9JnZwxkuOIentUdICAMw\nqHqy7JnU9zQMWYwlNN0/v3/bWcii1Hn8cNn/Qa/q+XCY4CzHRQohTjatg3NBpoOibAe7q1ppbhs5\ncWeyfSZzRfjrhalzz+haBlXPzMRimnqP0do3uoIrNV1H8QZ8w56SlWFN668WdnDEamGh4iMF8flA\ncD3VYYwb83aq0DGbqzLHN2qGAcdGuk+e1h65AMlAeY4cfJqfhp7BeQqaprGnZR9mnemUtXqATFs6\nMxy51Pc00uc7dfueHBcphDjZtA7OABcvjZ7Rc4YtjZKEQvSqngUpZxacIbjuDLCvbXSHVoSOiCwZ\n4nQnCG5Dm5cyG5ffNWK1sIGZ2iHp1lTaXO14Rpmk5g/42db4dyx6CwvOYP19uPraY0kIg+HXnZt6\nj9HiamN20kz06tDHkRbHF6ChDXk6l7N/DV+ytYUQIdM+OC8tTSXZYeb9XfU0t0d+9Py1eV/hnmXf\nCZ9DfCZC6857Rzm1HVpvPt1WpdDU9umytkPFR5LNiYPOSU63pqKhcbxvdDWqK9oO0unpZnn6ojM6\nEGLYaW3PyNXBBsofJmM7lKUd+tkMJbSGP9Sbml5v/8hZgrMQot+0D856ncoNFxXj82ts+FtlpJtD\nnNFOlj1jQq6VYkkmzZrCgfZKvCNMQ/sDfg53HiHDln7aNwbBamGm01YLO95ffCQ0pR0y1u1UW8JT\n2stHdf/hmHUmDKphyJGz3WgbdTGTDGsaBlV/So3tPS0VKCinTeArjM9HQRkyODt9vegVHUZVTqQS\nQgRN++AMsKw0ldLcBMoqWyg/PPHHGkbS3KRZePweqkaYhq7prsMT8A65ZjqQXtUzOylYLWy4gyCq\nO/v3NztOCs7hjO2Rg3O3p4c9LfvIsmWEi6qMl6IoOIz2QfucNU2j09NNwii2UYXoVB059mwanE3h\nqfkej5PqzhoK4/OxG09Nogsx683kxmVR23X0lL3nvd5erAbrqE8eE0LEPgnOBP9433xxCYoCL/7t\nED7/5J3be7aNdktVZXtovXnk6lvnZa8E4OVDrw45ej4cTgbLG3R7Rniv88hJYdubd+LX/KzKWj4h\nQcthDJbwDJXUdPndePweHKNcbw7Jd+QQ0ALU9wTPy97buh8N7bRT2iFFCQX4NP8pldt6vX0ypS2E\nGESCc7+89DjOX5RNY2sv73x6ZmchR5OShEIMqoG9bacPzqHiI8XDJIMNNCuphAUpc6nqPMKOY7tO\n+X6w+IiebHvmoNsTzQkYVD3NI0xra5rGlobt6BQdy9OHPgpyrBzGOAJaIFzwoyu8jWpswTl0fGQo\nKWx3eL159rCPCSnur1VeNaAwTKhNNjmRSggxgATnAa5ZXYDVpOfPH1bT1euJdHMmhEFnYGZiEU3O\nZtpcQ2+p8gf8VHVWk25NHZTAdTrXFn8BvaLjj5Wv4faf+FkNLD5ycuayqqikWVNp7j1+2kMharvr\naHA2MT9lzoQkxgHEhTK2+7dThY7THG1/QwYmhXkDPiraDpBiSQ5P2Z/OUElhLp8LDU1GzkKIQSQ4\nDxBnNXL16gL63D7+uPlwpJszYUbK2q7sqMbt91A8wnrzQKnWZC7KW0OHu5O3at4N336i+Ej+kI/L\nsKbhCXjpcHcOe+0tE7C3+WQnZ2x3use2xzkkzZqKSWekpruOyvbDuP0e5qfMHtXUe5zRTro1jcOd\nR8KnWzm9UrpTCHEqCc4nuXBxNlkpNjaXNVDTNPQZwFPN3KRgFvFQ685dnm5+X7EBBYXl6YvGdN3L\n8i8i3ujg7dr3ae0LlkA9ufjIycI1tocpRuL1e/l7807ijQ5mJ439kIvhnBKcPeOb1lYVldy4bJqd\nx/h7cxkA85NHXm8OKU6YgdvvCR+G0euTE6mEEKeS4HwSvU7l5s+WoAEvvn0wKg7FOFOp1mTSLCkc\naD80qLKXL+Djt3ueo8PdyVWFn6MkceT15oHMehNfLL4Cb8DHHytfA4bP1A4Jb6caJmN7T2sFfT4X\nKzKWjHqL02icOnIeWwGSgfLjctHQ+KT5Uyx685iOsAydkR06kETqagshhiLBeQhzC5JYXJLCwbpO\ntu5rjnRzJsSc5FLcfg+HO4+Eb/ufg3+mqvMIS9MWckn+BeO67vL0xRQ48tl5fA8H2ys5MkTxkYFC\na7PHhsnY/qTpUwBWZCwZV3uGM5HBOXR8ZEALMCepdExvIkJLB6GtbVJXWwgxFAnOw7jxomKMepX/\n3LSf/TWjq00dzU5ed/6gfgsfNmwjx57FV2ZfP+7tSoqicP3Mq1BQ+K99G+jxOoed0gZIt6YA0DRE\ncO7xONnbup9se+aEFWIJCQdnd3Cvc5ene0zVwQYKZWwDzBtFlvZAyZZEEk0JVHZUo2ma1NUWQgxJ\ngvMw0hKt3H3tfAIBjV9t3E1V/fAJTFNBSUIRBlXPvtYDHGo/zEsH/4zdYOMf59+GUWc8o2vnO3JZ\nmbksnOQ1w5E37H2NOiNJ5sQht1N9emw3AS0w4aNmAEd/1nf3gJHzWKqDDZRqScait6Aq6riO9SxK\nmEGP10lz7/EBI2cJzkKIEyQ4n8b8wmTuunouXl+Af31pF7XNUzdBzKgzUJJQRIOziWf2/B6Ar8/7\nyriPYTzZlYWfw6wzAcFSlaeTbk2l09NFn8816PbtzZ+ioLBsjIlpo2HQGbDozYMSwsaaDBaiKArX\nFF/BNUVXjCuohtaoqzqqcfpCa84yrS2EOEGC8wiWlqbxtc/Pps/t45cbymhsdUa6SeMWmtp2+nq5\nvuSqMSeAnU68KY5/mH09qzKXj1huM2OIdefjva0c7qyhNLGYBFP8hLVroFCVMJfPhdvvGdd6c8i5\nWedwUd6acT02tO5c2VkdTgiTrVRCiIEkOI/CqnkZ3HJZKd29Xh5/cSfHOk49k3cqWJAyF4NqYE32\nKlZnr5rw6y9JW8BXZl+Pqpz+1yrdFtxONfAAjO3NwUSw5RkTUxFsKA5jHE5vL22uDgDijWMrQDJR\nMqxp2AxWKjuqw9Pakq0thBhIgvMoXbA4mxsvKqajx8MvXtxJW5dr5AdFmWRLIo+tfoAbS6+J6CEL\nJw7ACI6cNU1je9NODKqBRWdwbvNIHMY4NLTwHuMzGTmfCUVRKIovoM3VTn1PE6qihpcEhBACJDiP\nyWUr8vjieQW0dLr45+d3TMkp7jM5F3minHw6VU33UY71tbAwdS5mvXnSnjeUsX20u77/35EJzhBM\nCgNod3dg1VvkRCohxCASnMfoynNn8KXzC2ntcvPwczumfBZ3JDiMdix6c3g7VWhv80QdcjH88/YH\n5/4TpSI1cgYGHc0pmdpCiJNJcB4jRVH4/KoZfPWKWfS5/Tz+4k52V7VEullTiqIopFvTON7bgsfv\nZUfzLuwG24SW6xxK6PCL0Mh5rIdeTKQce1Z4C5vscRZCnEyC8zitXpDFt780H4AnNu7hoz2NEW7R\n1JJuTcWv+fmwYSs9XidL0xdNaLnOoYT2Ovf1F/4Y71aqiaBTdRT2lziV6mBCiJNJcD4Di4pTWHvz\nYiwmHc++VsGmrTUxUYv7bAhtp3rzSPBEq3MmofDIyRwDsrMVlEH/joTQurNkagshTibB+QwVZ8dz\n71eWkhhn4n/eq+LRFz5l35E2CdIjCG2n6vb2kGZNGVQSc7IMDMZ2w/iqg02kkoTgPvNIv0kQQkQf\nCc4TIDvFxo9vWcqComQO1nXyiz+U8c8vfMreagnSwwllbAOsSF9yVrKV7QYbCsHniWQyWEhxQgF3\nzP0ynx1nMRMhROzSR7oBsSLJYeZ71y+kurGLVz86QlllC7/cUEZRtoOrzy1gbkGSbJcZINWSjKqo\nBLTApBYeGUin6rAbbHR7e3BEMBksRFEUlk5CqVIhxNQ3qSPnXbt2ccstt0zmU0SdgkwH37luAT+7\nfTmLS1Koqu/iX17axRMbd9MyRSuLTQadqmNJ2gKWpy8hxZJ81p43FJQTIpgMJoQQI5m0kfMzzzzD\nX/7yFyyW6ZmJmp8Rx//50gJqm7vZ8E4lu6paqajZxpXnzuCyFXnodbKi8NW5Xz7rz+kwxlFPI44o\nmNYWQojhTFqEyMvL48knn5ysy08ZeelxrL1pEd+4cg5mo46X3z/MA/+xnYNHOyLdtGkplHwVyW1U\nQggxkkkbOV922WXU1dWN+v6JiVb0+onNnk1Njfy6YshVaQ4uWpHP7/+3gte3HuGRFz7l4uV5fO3q\nedgtZ15SM5r6OtnOpK/pCcnQBLmpaVPiZzYV2jgRpks/Qfoaqya6r1GTENbe3juh10tNjeP48eg7\nf/n68wtZUpzM7984wNvba9mxv5mvXj6LeYXjX3eN1r5OhjPt6+y4WRxOPkq6mhX1P7Pp8rpOl36C\n9DVWjbevpwvosvAZAUXZ8fz09mVcs7qALqeHf3lpF79/fT99bl+kmxbz8uJy+ObCr2KVqlxCiCgm\nwTlCdKrKlecWcP9ty8hJtfFeWQM/+90nHKhtj3TThBBCRNikBuecnBxeeumlyXyKKS8vPY77b1vO\n51fl09rl4rH/3snzbx6gpVO2XQkhxHQVNWvO05lBr/Kl84tYVJLCb/9awTuf1vPuznoWFafw2aU5\nzM5PlAImQggxjUhwjiJFWfGsu2MFn1Q087cddew81MLOQy1kJlv57NIcVs3NwGKSl0wIIWKd/KWP\nMga9yrnzM/nMvAwON3Txt0/r2F5xjOffPMjL7x/m/EVZXLw0hySHOdJNFUIIMUkkOEcpRVEoyo6n\nKDueGy8s5v2yBt7ZWc/r22p585OjLJ+dxmUrcpmRIcU0hBAi1khwngLi7SauOq+Ay1fmsXVfM29u\nP8q2fc1s29fMzNwEbr1iDlmJMpIWQohYIcF5CjHodaxekMV58zPZe6SNNz45yt7qNn7y1MdcuCSb\nGy4oxmSM7BnFQgghzpwE5ylIURTmFSQzryCZ6sYu/uuNA7z7aT17q9v4+hfmUJwdH+kmCiGEOANS\nhGSKK8h08K/fO5/PrcjjeHsf//z8Dl5+vwqfPxDppgkhhBgnGTnHAKNBxw0XFbOwOJlnX6vgtS01\n7K5q5fxFWRj1Ogx6FaNexWBQMRl05KfHYTTI9LcQQkQrCc4xpDQvkQfvWMGGdyrZvKuB5988OOT9\nHFYDlyzP5cLFOVjN8isghBDRRv4yxxiLSc/tl8/i/EVZHGvvw+Pz4/UF8PoCeHwBuno8fLy3kZff\nP8z/bq3hgsXZXLosl3i7KdJNF0II0U+Cc4wqyHRQkDn0Huhr1hTyflk9b2w/yqattby1vY7zFmRy\n1bkzSJAgLYQQESfBeRqymvVcvjKfi5fl8NGeJjZtq+G9nfVsr2jmyxfPZOXcdKnlLYQQESTZ2tOY\nQa/jgsXZPPyPK/nKpTPx+TWe+es+nnx5Dx097kg3Twghpi0JzgKdqnLRkhzWfW0Fs/ISKKts4SfP\nbOPj8kY0TYt084QQYtqR4CzCUhMsrL15MbdcOhN/QOO3f63gVxt3U1bZgsvji3TzhBBi2pA1ZzGI\nqihcuCSH+YXJ/Mem/eyuamV3VSs6VaEkJ565BUnMK0gmN92OKuvSQggxKSQ4iyGlJFj4vzct4tDR\nDsqr2yivbuNAbQf7azt4+f3DOGxGPjMvgzULs8hIska6uUIIEVMkOIthqYpCaV4ipXmJfOn8Irp6\nPew70sbe6jbKDrXw+rZaXt9Wy6y8BNYszGJpaSoGvVQeE0KIMyXBWYyaw2pk5ZwMVs7JwOvzs+Pg\ncTaXNbC/f0Rte0vPqrkZrJqXwYyMONmOJYQQ4yTBWYyLQa8LB+rmtl42727go92NvL2jjrd31JGW\naGHlnHTOmZNOZrIt0s0VQogpRYKzOGPpSVauv6CYa1YXsre6ja37mtl56Dh/+egIf/noCPkZcaya\nm8Fn5mVgtxgi3VwhhIh6EpzFhNHrVBYWp7CwOAWXx0fZoRa27mum/HAbNU2H2PheFctnpXHh4myK\nsh0y7S2EEMOQ4CwmhdmoZ+XcDFbOzaCr18OW8ibe21nPlr1NbNnbRHaqjQsWZbOoOIV4uxG9cHwJ\nPwAAEvdJREFUTrbcCyFEiARnMekcViOXrcjj0uW57K9p592yBnYePM4Lbx3khbeCx1razHocNiPx\nNiMOm5GFRSlS41sIMW1JcBZnjaIozJ6RxOwZSXT2uPmovImjx3rocnrocnrodHpobO0F4JOKY3y4\np5HbLp9FWoIlwi0XQoizS4KziIh4u4krVuafcrvPH+B4Rx8b3qlkd1UrP/3tNr64upBLluegU2Xq\nWwgxPchfOxFV9DqVzGQb371uAf941RyMBh0vvVvJ+t/voLa5O9LNE0KIs0JGziIqKYrCyjkZzJ2R\nxIZ3Kvm4vIl1//l3zpmXQUmWgzkFSTLdLYSIWRKcRVSLsxr5+hfmsHJuOi++fYgtexrZsqcRgLQE\nC3MKkpg7I5HinATibcYIt1YIISaGBGcxJcwrSOahbyTjU1Q+2FHL3iPtVNS08d7Oet7bWQ9AYpyJ\nGRlxzMh0UJAZR3aKnV63j/ZuF+1dbtq73bT3uPEHNC4/J08qlwkhopYEZzGlZKbYuHBJDhcuycEf\nCFDd0M2+mjaONHZT3djFzkMt7DzUMuJ1PtnXzHUXFHHR0hw5+lIIEXUkOIspS6eqFOfEU5wTH76t\nvdvNkaYujjR209jqxGYxkBhnIjHORFKcmcQ4E3XHe3j+zYP899uHKKts4Y4rZpPkMEewJ0IIMZgE\nZxFTgoE4lcUlqcPeJyvFRmluAv+5aT+7qlq5/9lP+MolM6XoiRAiashWKjEtxdtNfOe6Bdx++SwC\nmsYzf93Hky/vYceB47g8vkg3TwgxzcnIWUxbiqKwZmEWs/MTefav+yirbKGssgW9TmFWXmLwEI+i\nZFJky5YQ4iyT4CymvdQECz/6hyVUN3Sxq6qVXZUtlFe3UV7dxgtvBafKzUYdJkP/h1GH0aAjPdHC\nstI08tLtMh0uhJhQEpyFAFRFoSg7nqLseK5dU0hblyscqOuPO+nu9dLqdeHxBQY97rUtNaQlWlg+\nK40Vs9PJSbVJoBZCnDEJzkIMIclh5sLF2Vy4OHvQ7QFNw+P14/b4qazvYvv+ZsoqW3htSw2vbakh\nI8nKopIUSnMTKMlJwGqW/2JCiLGTvxxCjIGqKJiNesxGPUtLU1lamorb62d3VSvbK5rZXdXK69tq\neX1bLYoCeWlxzMxNoDQvgQS76dTrqZCdYsegl9xMIcQJEpyFOEMmg47ls9JYPistOKJu6ORAbQcH\na9s53NhFTXM3b/396LCPj7cbuWRZLhcsysJqNpzFlgshopUEZyEmkMmoY+6MJObOSALA4/VzuKGL\nQ3Ud9Hn8p9y/1+VlW8UxNr5XxV8/PsKahVlcujxXiqIIMc1JcBZiEhkNOmblJzIrP3HY+9xwYTHv\nlTXw1t+P8ub2o/xtRx1LS1NJSrByvM1JT6+Xnr7gh8cXYEZGcKp8Zm4ChVkOTAbdWeyREOJskOAs\nRIRZzQauWJnPJcty2bqvide31fJJxbFB97GZ9dgsBiwmPRU17VTUtAOgUxVmZMZRmBmP3WrAatJj\nNemxmPXhr61mPTazAaNBlUxyIaYICc5CRAmDXmX1gizOnZ9J3bEe0lLj8PR5sFn06NQTCWM9fV4O\n1XVw8Gjwo7qhm6r6rhGvr1MVbGY9VrOBlHgzJbkJlOYmUJAZh0Evo28hookEZyGijKoo5KXHkZoa\nx/Hj3ad8324xsLjkRP1wl8dHfYuTPpePXnfwo8/tozf0b5cPp8vb/9lHT5+XprZeyqvbANDrVIqy\nHMzMTaAkN57CzHjZAiZEhMn/QCGmOLNRT1FW/Mh3HKDL6eFQXUcwq7x/BH7gaAcACsHDQQqzHMHC\nLFkOkhxmDHoVnaqcMjXu8wdw9q+JO13BNwbpSVbSEi2jOo4zENDG1HYhpgMJzkJMQw6bkaWlaSwt\nTQPA6fJy6GgnVQ2dVNV3Ut3YTX2Lkw92Nw56nKKAQadi0KvodSqu/oIsQ7GY9BRkxlGQ6WBGhoOs\nFCvt3W4aW3tpaHXS1P+5y+kh3mYk2WEmOd5MksNMsiN4vKfFpMdi0mEx6sNf63VDr537/AE6ut20\ndrlo6XTR2uWircuFyaAnO9VGdoqNrBQbFpP82RPRb9J+SwOBAA888AAHDhzAaDSyfv168vPzJ+vp\nhBBnwGY2sKgkhUUlKQD4AwHqjzupaujicEMn3b1evL4APn9g0Od4mxGbxYDdYuj/rMeo19HQ6qS6\nsZt9R9rZd6R92OdNdpgozUukpaOPI03dVDWMvHauAKqqoCjBw0tUJfi12+tHG8UgPNlhIivFTrzN\nGK6VbuqvnW426kh2mElPtJDkMKOqkkAnImPSgvPbb7+Nx+Nhw4YNlJWV8cgjj/Dv//7vk/V0QogJ\npFNV8tLjyEuPO6WE6Vj0urxUN3VzpLGLxtZekhxmMpOtZCXbSE+yYDbqw2vrgYBGR4+bti43LV19\ndPZ46HP7cHn89Lp9uNw++jx+PP1BWNM0AppGoP9rs0F3YuQdbybFYSbRYcblDq7J1x930tDSQ12L\nkz2HW0dsu16nkpZoIT3RQnK8GY/XT3f/trbQ5z63D5tZj91qxG4xEGcxYLcasJkNmAwqJoMO44BD\nUxKPOzne0oPb68fjDQRLwXr9/W94NPyBAP6Aht+v4QsEUFDQ6xT0ehWDTkWnUzDoVCwmPfb+N0X2\n/ue0WwwoKPgDAQIBLXidQPBnpCoK+v7H61UFnU5FIbi80dHjoaPH3f/hodflxWwMzlJYzYbgZ1Mw\n2z8Q0PAFtAHXD6AFTv3ZaWjExbXT0dmHpgXL3mqB4GtlNupIsJuItxtJsJuwmfWyi2AIkxacd+zY\nwerVqwFYtGgR5eXlk/VUQogoZTUbBhVlOR1VVUhyBINrMWNbQx9JUfbg6/W6gsHV7Q3g9gQDpMvj\np8/to6Wzj+b2Pprbemlu76WhxTnosYoSTMpz2IykJVrodfno7HGfcj8xOnqdQrzNiKoq4TcmocDv\nD2jo1OAbi+DHia81rf/NR/8bkEB/8Nf1v/nQ65TwY3WqEv5QVbX/s4KqgAagBT9rI0y9rJidzjlz\n0s/Gj2XygnNPTw92uz38b51Oh8/nQ6+X9R4hRGRZzYZRlUrVNC14IlmXC7NRR5zViNWsHzLRzR8I\nBLPhe704XV7cXj9uTwCPLxj8PR4/FqsRr8cXHFEbdOHRtV6vou8PGjpdf3BRFTQtuJYe/NDCywl9\nbl+4ME13KBmvz4sWDk7B4KNTgp9DI15/6DqBAJoGDquRhP4RbEKciQS7EavZgNvjp9ftpc/tD2f+\ne3z+cFDTqScCXmh54WRxcWacPW5Ulf6lh+B9XR4/Hd1uOpweOvtH611ONz5/MBAbjCo63YkAGgho\ng34GfW4v/kAAtb9vwSDbH3yV4Cjd6/YF7x8K9v4AE5F2aDHpp35wttvtOJ0n3kkGAoHTBubERCv6\nCd5rmZoaN6HXi2bS19g0Xfoazf1MA4oi3QhxxgZOxYdG54GARuh9RejNQ/htxhBvOE43BT/Rv8OT\nFpyXLFnCu+++yxVXXEFZWRkzZ8487f3b23sn9PmH2yMai6SvsWm69HW69BOkr1NdX8/Qt4+3r6cL\n6JMWnC+55BI++ugjbrrpJjRN4+GHH56spxJCCCFiyqQFZ1VVWbdu3WRdXgghhIhZcsK7EEIIEWUk\nOAshhBBRRoKzEEIIEWUkOAshhBBRRoKzEEIIEWUkOAshhBBRRoKzEEIIEWUkOAshhBBRRoKzEEII\nEWUUbaQzsoQQQghxVsnIWQghhIgyEpyFEEKIKCPBWQghhIgyEpyFEEKIKCPBWQghhIgyEpyFEEKI\nKKOPdAMmWiAQ4IEHHuDAgQMYjUbWr19Pfn5+pJs1oXbt2sUvfvELnnvuOWpqarj33ntRFIWSkhJ+\n9rOfoapT/z2X1+vln/7pn6ivr8fj8fDNb36T4uLimOyr3+/nJz/5CdXV1SiKwoMPPojJZIrJvoa0\ntrZy7bXX8rvf/Q69Xh+zfb3mmmuw2+0A5OTkcOONN/LQQw+h0+k477zz+Pa3vx3hFk6cp556infe\neQev18vNN9/MihUrYvJ1feWVV/jjH/8IgNvtpqKigueee27iX1ctxrzxxhvaPffco2mapu3cuVO7\n6667ItyiifX0009rX/jCF7Trr79e0zRNu/POO7WtW7dqmqZp999/v/bmm29GsnkTZuPGjdr69es1\nTdO09vZ27fzzz4/Zvr711lvavffeq2mapm3dulW76667YravmqZpHo9H+9a3vqVdeumlWmVlZcz2\n1eVyaVdfffWg26666iqtpqZGCwQC2te//nVt7969EWrdxNq6dat25513an6/X+vp6dGeeOKJmH1d\nB3rggQe0P/zhD5Pyuk79tzEn2bFjB6tXrwZg0aJFlJeXR7hFEysvL48nn3wy/O+9e/eyYsUKANas\nWcPHH38cqaZNqM997nN897vfBUDTNHQ6Xcz29eKLL+bnP/85AA0NDTgcjpjtK8Cjjz7KTTfdRFpa\nGhC7v8P79++nr6+PO+64g1tvvZXt27fj8XjIy8tDURTOO++8mOnrhx9+yMyZM7n77ru56667uOCC\nC2L2dQ3Zs2cPlZWVfP7zn5+U1zXmgnNPT094GglAp9Ph8/ki2KKJddlll6HXn1iN0DQNRVEAsNls\ndHd3R6ppE8pms2G32+np6eE73/kO3/ve92K2rwB6vZ577rmHn//851x55ZUx29dXXnmFpKSk8Bto\niN3fYbPZzNe+9jWeffZZHnzwQe677z4sFkv4+7HU1/b2dsrLy/nVr37Fgw8+yNq1a2P2dQ156qmn\nuPvuu0+JORPV15hbc7bb7TidzvC/A4HAoGAWawau4TidThwORwRbM7EaGxu5++67+fKXv8yVV17J\n448/Hv5erPUVgiPKtWvXcsMNN+B2u8O3x1JfX375ZRRFYcuWLVRUVHDPPffQ1tYW/n4s9bWgoID8\n/HwURaGgoIC4uDg6OjrC34+lviYkJFBYWIjRaKSwsBCTyURTU1P4+7HUV4Curi6qq6tZuXIlPT09\ng2LORPU15kbOS5YsYfPmzQCUlZUxc+bMCLdocs2ZM4dt27YBsHnzZpYtWxbhFk2MlpYW7rjjDn74\nwx9y3XXXAbHb1z/96U889dRTAFgsFhRFYd68eTHZ1xdeeIHnn3+e5557jtmzZ/Poo4+yZs2amOzr\nxo0beeSRRwBobm6mr68Pq9VKbW0tmqbx4Ycfxkxfly5dygcffICmaeG+rlq1KiZfV4Dt27ezatUq\nIDggNBgME/66xtzBF6Fs7YMHD6JpGg8//DBFRUWRbtaEqqur4wc/+AEvvfQS1dXV3H///Xi9XgoL\nC1m/fj06nS7STTxj69evZ9OmTRQWFoZv+/GPf8z69etjrq+9vb3cd999tLS04PP5+MY3vkFRUVFM\nvq4D3XLLLTzwwAOoqhqTffV4PNx33300NDSgKApr165FVVUefvhh/H4/5513Ht///vcj3cwJ89hj\nj7Ft2zY0TeP73/8+OTk5Mfm6Avz2t79Fr9dz++23A8GB4ES/rjEXnIUQQoipLuamtYUQQoipToKz\nEEIIEWUkOAshhBBRRoKzEEIIEWUkOAshhBBRRoKzEOK0XnnlFe69995IN0OIaUWCsxBCCBFlYreu\npRDTzNNPP82mTZvChRBuvvlmvvWtb5Gbm0tNTQ1ZWVk8/vjjJCQk8O677/Jv//ZvBAIBcnNzWbdu\nHSkpKXz88cc88sgjaJpGVlYWv/zlLwGoqanhlltuoaGhgVWrVrF+/foI91aI2CYjZyFiwObNmykv\nL2fjxo386U9/orm5mVdffZWDBw9y22238dprr1FUVMSvf/1rWltb+elPf8pvfvMbXn31VZYsWcK6\ndevweDysXbuWRx99lFdffZXS0tLwubWNjY08+eSTbNq0ic2bN3Po0KEI91iI2CYjZyFiwJYtW9i9\nezfXXnstAC6XC03TmDFjBueccw4AX/ziF1m7di3nnnsuCxYsICcnB4Abb7yRp59+mgMHDpCens7s\n2bMB+MEPfgAE15yXLVtGQkICEDy2tL29/Wx3UYhpRYKzEDHA7/dz22238dWvfhUInprT1NQ0qMZv\n6FzsQCAw6LGapuHz+TAYDINu7+7uDp+2M/BkN0VRkKq/QkwumdYWIgasXLmSP//5zzidTnw+H3ff\nfTfl5eVUV1dTUVEBBI9rXLNmDQsXLmTXrl3U1dUBsGHDBs455xwKCgpoa2ujsrISCBb3f/HFFyPW\nJyGmMxk5CxEDLrroIvbv388NN9yA3+9n9erVLF++nPj4eJ544glqa2spLS1l/fr1WK1W1q1bx7e/\n/W28Xi9ZWVk89NBDmEwmHn/8cX70ox/h9XrJy8vjscce44033oh094SYduRUKiFiVF1dHbfeeivv\nvPNOpJsihBgjmdYWQgghooyMnIUQQogoIyNnIYQQIspIcBZCCCGijARnIYQQIspIcBZCCCGijARn\nIYQQIspIcBZCCCGizP8H3MUxL+Ya4wsAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1be48b748>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" 32/100 [========>.....................] - ETA: 1s\n",
"label = 1\n",
"[1 2 1 1 1 2 1 1 1 1 1 2 1 2 4 2 2 4 2 4 4 2 2 2 2 4 1 3 3 3 3 3 3 3 3 3 3\n",
" 2 2 3 2 4 4 3 3 4 4 2 3 4 4 4 4 5 2 4 4 4 5 5 6 6 5 5 5 5 5 6 6 5 6 5 5 7\n",
" 6 5 6 6 6 6 6 7 5 5 6 5 7 6 6 6 7 6 6 5 6 7 6 6 7 6]\n",
"[1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3\n",
" 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 6 6 6 6 6 6 6\n",
" 6 6 6 6 6 6 6 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7]\n",
"class1: 0.769230769231 1.0\n",
"class2: 0.533333333333 0.666666666667\n",
"class3: 0.705882352941 1.0\n",
"class4: 0.6 0.866666666667\n",
"class5: 0.714285714286 1.0\n",
"class6: 0.642857142857 1.0\n",
"class7: 0.263157894737 0.789473684211\n",
"total: 0.58 0.89\n",
" 32/100 [========>.....................] - ETA: 0s precision recall f1-score support\n",
"\n",
" 0 0.91 0.77 0.83 13\n",
" 1 0.50 0.53 0.52 15\n",
" 2 0.86 0.71 0.77 17\n",
" 3 0.56 0.60 0.58 15\n",
" 4 0.31 0.71 0.43 7\n",
" 5 0.43 0.64 0.51 14\n",
" 6 0.83 0.26 0.40 19\n",
"\n",
"avg / total 0.66 0.58 0.58 100\n",
"\n"
]
}
],
"source": [
"# 7巻分類\n",
"def redefine_label(label):\n",
" return label\n",
"\n",
"ll = 1\n",
"nb_classes = 7\n",
"batch_size = 32\n",
"TRAIN_NUM = 150\n",
"nb_epoch = 70\n",
"size = 32\n",
"filter_size = 32\n",
"X_train, X_test, Y_train, Y_test, y_test = make_train_test_data(ll, nb_classes)\n",
"model = model_compile(nb_classes)\n",
"callbacks = []\n",
"# callbacks.append(EarlyStopping(monitor='val_loss', patience=4, verbose=1, mode='auto'))\n",
"history = model.fit(X_train, Y_train, batch_size=batch_size, epochs=nb_epoch, verbose=1, validation_split=0.1\n",
" ,callbacks=callbacks)\n",
"# 学習履歴をプロット\n",
"plot_history(history)\n",
"model_score(model, X_test, y_test, ll, nb_classes)\n",
"model_score_bi(model, X_test, y_test)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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HaQveer2eBx54oM9j8+bNS/z72muv5dprr03Xy+ek080+/s+f9mMy6vmfnzkL\ni3licwCEEEJkh7QFbzGxtu9v4uk/HyAcUbjj6sXMKHWO/ENCCCFykgTvKS6mKDz/9jE27qzDajZw\n92eXs2pRSaabJYQQIoMkeE9hHn+YJ/9Qw8HaTiqK7Nxzw3IqihyZbpYQQogMSynb/LrrruMXv/gF\nLS0t6W6P6HGmzc///uVODtZ2snJhCf/ypdUSuIUQQgApBu+f/exnhEIhvvSlL/HXf/3XvPbaa0Qi\nkXS3bdqKRBV++vt9dHhD3HDpXO7+7FnYLDJIIoQQIi6l4F1VVcXdd9/Nn//8Zz7/+c/z/e9/nzVr\n1vDQQw9JTfI0+N07xzjd4uOyFZVc94nZsmGLEEKIPlLqzvn9fl5//XX+8Ic/0NTUxC233MK1117L\nli1buPPOO3nxxRfT3c5pY9/JdjburKPMbefmtQsy3RwhhBBTUErBe926dVxxxRXcc889nHfeeYnH\nb731VrZt25a2xk03vmCE//PKfgx6HV/7H0tlHbcQQohBpRS833zzTU6dOsXSpUvxer3U1NRw0UUX\nodPpeOKJJ9LdxmlBVVX+758P0ukLc+Nlc5ldnpfpJgkhhJiiUprzfvLJJ3n00UcBCAaD/OQnP+Hx\nxx9Pa8Omm798dIYPDrewcGYBV18wK9PNEUIIMYWlFLzffvttnnrqKQBKS0t5+umn2bhxY1obNp00\ndQT49aYj2CxG/uq6pej1kqAmhBBiaCkF72g0Snd3d+JrWSY2cRRV5elXDxKKxLj9qoUU5Vsz3SQh\nhBBTXEpz3jfffDM33HADa9euBWDLli3ceuutaW3YdPGXj85wuC5eiOXCpbK9pxBCiJGlFLzvuOMO\nVq5cya5duzAajfzwhz9k6dKl6W5bzuvyh3nuraNYzQbZ3lMIIUTKUho2D4fDNDU14Xa7ycvL48CB\nA/znf/5nutuW836z6TCBUJQbL5tHocuS6eYIIYTIEin1vO+55x6CwSC1tbWsXr2anTt3smLFinS3\nLad9dKyVHQeamVeZxxXnVmW6OUIIIbJISj3vEydO8Mwzz7B+/Xruuusunn/+eZqbm9PdtpzVHY7y\n7OuHMeh1fPlTiyW7XAghxKikFLyLiorQ6XTMmTOHQ4cOUVZWRjgcTnfbctbv3z1Bm6ebT11QzYxS\nZ6abI4QQIsukNGy+YMECvve973HLLbdw//3309zcLMvFxuhko4c3dtVRWmjj05+YnenmCCGEyEIp\nBe/vfOdVWCIkAAAgAElEQVQ77Nmzh/nz53Pvvffy3nvv8aMf/Sjdbcspqqry3r5Gfv3GEVQVvnzV\nIswmqV0uhBBi9FIK3p///Od56aWXgPgmJevWrUtro3JNlz/MM68dZPeRVixmA1+5ejFLZrsz3Swh\nhBBZKqXgXVRUxK5duzj77LMxm83pblNO2XWwmWdeP4QvGGHRzAK+eu0SSgpsmW6WEEKILJZS8K6p\nqeGLX/xin8d0Oh0HDhxIS6NyxW/fPMLGnXWYjXpuuXIB61bNQK+TzHIhhBDjk1Lwfv/999PdjpzT\n2B7gjZ11lBXa+Prnz6Hcbc90k4QQQuSIlIL3f/3Xfw36+D333DOhjcklr22vRQVuuGyeBG4hhBAT\nKqV13skikQhvvfUWbW1t6WhPTuj0hdhWc4bSQhurFpZkujlCCCFyTMrlUZPdfffdfPWrX01Lg3LB\nG7vqiMZUPnV+tVRPE0IIMeFG3fMG8Pv9NDQ0THRbckKgO8rm3fXkOcxcvFy2+BRCCDHxUup5r127\nFl1PlrSqqng8Hu688860Nixbbd5TTzAU45oLZ2EyShEWIXJNW7Cd723/EV9c8nlWl8kGTSIzUgre\nzz77bOLfOp2OvLw8nE6pyd1fJBrjjZ112CwGrjh3RqabI4RIgzpvPRElwuGOoxK8RcakNGzu9/t5\n9NFHqaqqIhgM8rWvfY3jx4+nu21ZZ2tNI13+MJevqMJuTem+SAiRZTxhHwCtwfYMt0RMZykF73/5\nl3/h+uuvB2DevHn87d/+Lf/8z/+c1oZlG0VReW17LUaDjvXnzcx0c4QQaeIJe4H48LkQmZJS8A4G\ng1x22WWJry+++GKCwWDaGpWNPjzcQnNHkE+cVUGB05Lp5ggh0sTbE7zbQ53ElFiGWyOmq5SCt9vt\n5je/+Q1+vx+/389zzz1HUVFRutuWVf68vRYd8KkLqjPdFCFEGnl7hs0VVaEj1JXh1ojpKqXg/f3v\nf5/NmzezZs0a1q5dyzvvvMNDDz2U7rZljU5fiBNnPCyd45ZqakLkOG3OG6A1KMWqRGaklFVVWVnJ\n17/+dZYuXYrX66WmpobyclnDrDlc1wnAklmFGW6JECLdtGFzkHlvkTkp9bwfffRRHn30USA+//2T\nn/yExx9/PK0NyyZH6uJDZwtnFGS4JUKIdPNEfOiI171o7ZbgLTIjpeC9efNmnnrqKQBKS0t5+umn\n2bhxY1oblk0On+7EZNQzu8KV6aYIIdIoFAsTjoWpcJQBMmwuMiel4B2NRunu7k58HYlE0tagbBPo\njnC62cfcijyMhjFVm500Wxu28269bO86lDdrt7CzcXemmyGmMG3IfKarCqPeKGu9RcakNOd98803\nc8MNN7B27VpUVeXdd9/ltttuS3fbssKR012owMKZU3/I/JXjG1FUhUuqLsx0U6YcRVX4/bFXKbUV\nc175uZlujpiitGS1PLOLImshbTJsLjIkpeB9yy23EIlECIfD5OXl8bnPfY6WlpZ0ty0rHD4dT1ab\n6sFbVVV8ET+qqqKoCnrd1B4lmGyBSBBFVRLLgIQYjNbzdpmdFNncNAVaCEaD2Iy2DLdMTDcpBe97\n772XYDBIbW0tq1evZufOnaxYITV9IZ6sptfpmFeVl+mmDCsYjQcngEA0iNPkyHCLphatapY/GiCm\nxDDoZVMZMZDW83aZnRRb47UuWoMdzHRJ8BaTK6Xu14kTJ3jmmWdYv349d911F88//zzNzc3pbtuU\nF47EOHHGQ3WZE6t5atcyT+5R+sP+DLZkakr+/Xgj0vsWg9Nu8vLMLoptbgDaJGlNZEBKwbuoqAid\nTsecOXM4dOgQZWVlhMPhdLdtyjve4CGmqFN+yBzAG/EP+m8R50lau+sJeYd5ppjOvMk9757gLcvF\nRCak1F1csGAB3/ve97jlllu4//77aW5uloxzsme+G8CXFLD9ErwHSC68kRzIhUjmTep5ayTjXGRC\nSj3v7373u1x99dXMnz+fe++9l+bmZn70ox+lu21TnlZZbcGM/Ay3ZGS+pGFhnwTvAZJLXkrSmhiK\nJxwv0OIw2SmyxisqylpvkQkp9bwNBgOrV68GYN26daxbt27En1EUhe9+97scOnQIs9nMgw8+yKxZ\nswY856//+q9Zt24dt9xyyxianzkxReFYvYeKIjsuuznTzRlRcsD2yZz3AF4J3iIF3rAXp9mBXqfH\narTiNDlkuZjIiLStF9q0aRPhcJgNGzbwzW9+k0ceeWTAcx577DE8Hk+6mpBWtU0+QpFYVgyZQ9+A\nLT3vgTwR76D/FiKZN+zrM2ReZHPTHuxIrOQQYrKkLXh/8MEHXHLJJQCsWLGCmpqaPt9/7bXX0Ol0\niedkG23IPFuCd3IGtT8SyGBLpibpeYuRhGMRumOhPsG72OomqsboCmVnJ0Rkr7Stb/L5fDidzsTX\nBoOBaDSK0Wjk8OHDvPLKK/z4xz/miSeeSOl4hYV2jMaJXXtbUjL2WuQnm+IX+AvPqaKkcGpsAzrc\n+YToLW8b1nWP69wnw2S3zx/1U2jLpyPYRbcanNDXn+q/69HKpfMZzbk0++Nz2yWuwsTPVRdV8EHz\nXqKWICUlM9PSxtGYru/NVJeOc0lb8HY6nfj9vcOziqJgNMZf7ve//z1NTU18+ctfpr6+HpPJRFVV\nFZdeeumQx+vomNjeYkmJi5aWsQ2PKqrKvuNtFOVZ0EVjYz7ORBrpfNr9XVgMZmKqQrvPMyXaPJTx\nvDdjoaoqXd1eql1VhCJh2vydE/b6k30u6ZZL5zPacznZ1QiASbUkfs6uxjsoR8+cpkRXMfGNHIXp\n/N5MZeM5l+GCftqC98qVK3n77be55ppr2LNnDwsXLkx87x/+4R8S/3788ccpLi4eNnBPNWfaAviC\nEc6aW5bppqTMF/bjNDmJqTGZ8+4nEA0SU2O4zC4C0W4ZNheDGmyZmKz1nnivnXyL0s4CVhaszHRT\nprS0Be/169ezdetWbr75ZlRV5eGHH+bpp5+muro6pWz1qSzb5ru1uuYzXVVElagsbeknuV51MBqk\nKdAsJVLFANr6f5epdzqwKFEiVT5TE+X1U2+R3+Ri5QUSvIeTtuCt1+t54IEH+jw2b968Ac+79957\n09WEtDmiBe8Z2RG8u2PdxNQYTpODqBLltK+BiBLFpJ/aJV0nS+9OUfHgDfEEvwLL1F+/LyaPN2lH\nMU2hNR+9Tk+bFGqZEDElRjgWpqvbg6qq6HS6TDdpypKtpUZJVVUOn+7EaTNRUTQ1EtVGol10nGYH\nDlO8zVJlrVdvz9uFq+fCLEPnor/kTUk0ep2eImuhDJtPkEDPzXM4FiEUC2W4NVObBO9RaO4M8v89\nt5d2T4jF1QVZc1eozXG7TE6cPRceKdTSK/minNfz+/FI8Bb9JN/kJSuyuvGGfYRist/DeGnBG+Qz\nOBIZN01BNKbw2vZa/rjtJJGowrI5bm5etyDTzUqZtydQO80Owj0XGEla65W8U1Ri2Fzqm4t+tNKo\nTlPfEbdimxs6oC3YTqWzPEOtyw3BpODtDfsotRdnsDVTmwTvERyu6+SZ1w/R0Oonz2Hmq9cs4Pwl\npVnT6wbw9RRocZochPWmnsckeGuSd4rqDd5y1y/68ka8OEz2AYmMxbbepDUJ3uMTjPTWo5Ab6OFJ\n8B7G6RYf//7r3aiqyhXnVnHjZXOxW02ZbtaoaUPkLrMzMbQnwbtX7xKg3uAtO4uJ/rxhH4WWgUmq\nRbJcbMIEor31PGTYfHgSvIfx4eEWFFXlK1cv5pJzKjPdnDHTArXT5EhkmMucdy9P2IdRb8RqsOIy\nScKaGCgSixCMdjPLNbBoRmKtt2Scj1sgKj3vVEnwHkbNiXZ0Oli5qCTTTRmXRLa5yYmxJ3hLtnkv\nb9iHy+REp9MlEtYkeItk2t4AyZnmmuKetd5tstZ73IKRpIS1iHwGhyPZ5kMIdEc5Xu9hbmUejiwc\nKk+WyDY3O3D2FJiQYfM4VVXxhr3kWeI9KpPBhM1olWFz0Yd3kGViGrvJht1oo7W7Y7KblXMC/RLW\nsklrsJ39bYcm7fUkeA/hwKl2FFVl2Wx3ppsybr6wD7PehNlgTmTKyrB5XDDaTVSNJXrcEL9AS/AW\nyTyDlEZNVmRz0xZsQ1XVyWxWzumbbZ5dn8EXj/yRn370NDElNimvJ8F7CPtOxOevzppblOGWjJ83\n4k+s7zboDdiMVul590is3TX1XpRdJhf+SGDSPoRi6vMkldAdTLHVTUSJyk3fOGk9b4NOn3UJa63d\n7Zj1pkkrqyzBexCqqlJzoh27xciciuzelk6ra55cj9lpcsicd4/k0qiaPLMTFRWf7HsuevQOmw9+\nPehdLjZxSWsH2g/z5EdPJ2ozTAfBnoS1cmdp1vW8O7o7J7WksgTvQTR1BGnt6mbp7EIM+uz+FYVi\nIaJKFKfZkXjMaXLgiwRkiI/kRKSknneiRGp2XTxE+gx2k5cssVxsApPWdjR+yMetBzjlOT1hx5zq\nAtEgRr2RYoebUCycNVXrQrEwgWhQgnem1RyPfwBzYcg8eZmYxmFyEFNjdMe6h/qxacMTGjgcKhnn\noj/vSMPmaVjr3dEd3wCpM9Q1Ycec6oKRIDajlXxrdt1Aa+9RoXXyNquS4D2Imp757lxIVkvelESj\nBXJfWIaFkwu0aFyJ+ubZceEQ6ZcYNjcNNecdv9FvCbRO2Gu2T8PgHYgGsRvtFFjzgOwp1NLZHX+P\npOedQZGowsHaDiqK7BTlWzPdnHFL3pREowVySVpL3pRkkGFzWWcqenjCvkFLo2qKbIVYDGZO+xom\n5PUUVUkE7Y5pErxVVe0J3lbyLfHgnS09745Q/EarUIJ35hyt7yIciW8+kgsSm5KYBul5S3DCGxnY\n886TnndO2duyj7/Uvz+uY3jD3iGT1SC+NegMZxWN/uYJmaf1hn3E1Phqh86eHniuCysRFFXBZrQl\nhs2zpufdc4NVYJXgnTE1J3rmu+dk/3w39Abo5Lk6RyJ4y7C5J+zDqDNgM9oSj8me3rnl5eOvseHw\n74ko0TH9fFSJEogGh1zjranOq0JFpX4Cet/tSQF7uvS8tTXedpMtMWyePT1vGTbPuH3H2zEa9Cyq\nnrzEg3TyJW0HqnH1/FuWi/WURjW7+uwSJwlruaUr5EFRFZoDLWP6ee8Imeaamc4qAGo99WN6nWTa\nMCxMnznvQE9pVJsxOXhnx2dQm/MebOOadJHgnaTLH6a22cfCmflYTJOz0D7derPNB+l5T/Mqa1pp\n1P4ZxGaDGavBIsPmOSAciyR6dI3+pjEdY7jSqMmq82YAUOcdf/BuTyq16g37iI5x1CCbaAVa7Fk6\nbG42mLEZJy9PSoJ3kn05NmQOyZuSJM9595RIneY97+5YiIgSHbRHJSVSc4Mn7En8+8wYg3eiNKpp\n+GHzMnsJZoOZWu/412Vry8TK7aWoqHSFPCP8RPbTbrJsRisusxMduiwaNu+k0JLfZwQv3SR4J0ks\nEcuRZDWIz3mb9EYsBnPisVzYnCQQCfD+mV3jKjTTu3Z34EXZZXbhC/tRVGXMxxeZ1xXqvfif8TeP\n6RieFHve8aS1ShoDzYRjkSGfd6KrliMdx4c9lha85+bPin89DYbOtWFzu9GGXq/HaXZkxbB5OBbB\nHwlM6nw3SPBOUFSV/SfayXeamVHiGPkHsoQ37MfZs92lxma0otfps3rY/M3aLTx74DmOdg5/ERzO\ncBdlrUSqX5L6slpXUs977MPmwxdoSTbTVYWiKkMmrSmqws8//r88VfPMsDee7aFOTHojVa5KYHrM\ne2ulUW2mePJontmVFcPmiQItkzjfDRK8E+qafHgCEc6a7Z7UoY9080X8iQQ1jU6nw2GyZ3XCWr3/\nDNA3K3e0ehORBu95gywXy3bJw83NwdYxzR0P93fSX7WrJ2ltiHnv094GPGEv/khg2DoCHd2dFFoL\nEgFhOgTvQDR+o2zvWfnhMjnpjnUPO4oxFWRimRhI8E44Wh9/AxbPKsxwSyZOKBYmokT6JKtpXCZn\nWobNu6MhHvvwST5u3T/hx052xhfvRY0nuA63U5RrAjLO67wN/P3rD9HgaxzzMcT4aO9xub20J+N8\n9BXQRtpRLFm1a/iktf3tvfs9N/kHz34PxyL4In7clsJE0Q8tmzmXJXrePUlf2bLHQGcGlomBBO+E\npvb4XV9lce4MmfsGKY2qcZjsBKLBCd/28rSvgSOdx9nd/PGEHjdZOBamrScbdzzBe7DSqJqJKNTy\nYfNeTnWeZlPtO2M+hhgfree9yD0fgMbA6Oe9U802h3jSmklvGjJpbV9bb/AeaumatkyswJqfqJWd\nvHQsV/Vmm8cTans/g1N76FzLT5jM6mogwTuhsSMevMsK7RluyfBOeepSDrjasFxyprlGe8wfndg5\nXe1Cl87h5qZACyrquF9nsNKomoko1FLbsxvUh817CUzQ3HlHd2efZUTTWaO/ecTfayJ4Fy4A4MwY\nRkE8ER92ow2j3jjicw16AzOclZzxNxHpN9wbiAQ40XUKq8ECxP+OB6MFA7elAIfJjlFnmBYJa0Ft\nnbdJ63lro1/S8x6MBO8eTe0B8hxm7NaRP6CZcqLrFP++63HeTbHUo5aQNthmCs6eD8ZEJ61pH7R0\nBu/kJT+e0Hh63sMnrCU/Z7RUVaXOFx86jShRdjTtHmMr+x7zx3t+zn/u/vm4j5XtukIevr/zMV44\n8sfhnxf2YDPaEnPRZ8bU8x6+NGp/iaS1nrwMzcGOo6ioXFRxHjB08NbyOAqtheh1evIt+dNi2Fzr\nedsM8eCdlyWVDjsysKMYSPAG4puRtHZ1U15oG/nJGaR92E96alN6vjcysLqaRlvrPdFJa55J6Hn3\nCd7jHDbX6/SJBJlkLtP4EtbauzvxRwIsLVmAXqdna/32ce+f3hRopjnQSmuwbcpf0NJtf9shokqU\nBv/wPWlPyEu+JY8CSz5Wg2XUGecxJYY/EhixulqyRNJav0pr+9oOAnBe+bk4TPahh817RlbcPcGg\nwJKPJ+yd8CmuqSYQDWI1WBKbv+SZs6NQS2eoC5PeNOh1JJ0keAMtnUFUFcrcU3vIXLtgp3oB8g3T\ns9SqrHknPHh7e147fWukG3vW67pM4yuk4gn7yDO70OsGfgzGuy1oXc+c54qKZZxdvIwGfyMnPXVj\nbiv0nS+t950Z5pm5T0v8ag8OPYUQUaL4owHye8rfljvKaA60jioIalNPqWSaawartKaqKgfaDuE0\nOZjpqqLMXkprd/ug2e/t2g5VPcG70JqPiprzKx+C0e5+ewz0jH5FpvZ5d3Z3TXqBFpDgDUBjT7Ja\nedHUDt7ah7cx0JxSYOwtjTqw5+0ypae+uXaDoaImdjSbaGf8jThNDiqd5QSiwTFvODFYaVSN1WjB\nbDCPuYerLRWaW1jNmsoLANjasH1Mx9LsTwreDdM4eMeUGAfajwDxnI3unizl/jw9893a9pIVjjJi\naoyWYOoZ56NJVtOU20sx6Y2JGziI32x1hb0scS9Er9NTZi9BURVag20Dfr43Aaqgz/9zPWktGA1i\nNw3cIGgq97wjShRvxDfp890gwRvozTQvn+LJatqFJKJEaRumx6FJbEoyyJy3Q9vTO5x6IlV3NJRC\nG3vvkpNLU06UcCxCa7Cdckdp0pzY6O/Mu6Mhwkpk2Itynsk55mQZLdt4bmE1i9zzKbIW8kHTnsRy\nmNEKxcIc7TyOoycTt34aLz876alLlNKEodf6d/W8d/nmePAud5QCo6u01rtMLPWet0FvoMpZSYO/\nKXFjqY0ULC1aBMSz0mHwee+O7k6cJgdmgwnoTYTqyOF5b0VVenrevbXBnSb7lC+R2pWh+W6Q4A30\n9ryzZdgcoDEw8tC5th3o4HPeo9vTe2fjbu7f8m8jDtcm3yWnY5ivuSfTvNxRlgjeXWNIWksU3him\nXrXL7MIbGf3wv6qq1HnrKbIW4rQ40Ov0fKLyfMJKhF1jTFw70nGMqBrjwsrVmPTGAclQ04kWCOfk\nVQPQ1t0+6PO0TPM8S/w9rnCUAfGRm1Qc7jjGqyc2xY8xiuAN8aS1mBpLjJDsbzuEDh1L3AsBKB0i\neKuqSkeoMzHfDb3FP3K5UIs2eqItE4P4TZDDZJ/S+R3aDZX0vDOkqT2ATgclBVM7YS05GGpFSobj\nDfsx6gyJpSnJeoN3akPbO5o+REVNLH8a+jWTet7jyAQfipasVuEoS1yUx3KToM2jDdvzNjtRVCVR\nczlVnaEufBE/M3sKdgBcWLE6kbg2Ftp89/KiJVQ4yjjjb8r5BKah7G87iEFnSGRttw2xdE4rjar1\nvLXg3ThCz/tIx3Ee+/BJ/nP3zzjpqeWsoiWcXbx0VG3UktbqvPUEo90c6zpJtWtG4u9tqJ63L+In\nokQptPYWi0oUasnh4B1I2pQk2VQvkZqpZWIAU3dd1CRq7AhSnG/FZJza9zLecHyTkYgS5UyKPW+n\n2TloIoUjMec98rB5OBbhSMcxADqH2d1IG4o26AzE1NiIQbWm9QBGvZHF7gUjtkGjJetV2MsSF+ex\nBG9PouTl0ME7OWltsNGLoWhD5toFHOIf7rOKlvBR6z5qPacTSU2p2t9+CKvBytz82VQ6K6j11tMc\nbE0EpOnCG/ZR661nYcE8KpzlwNBJa9rNozbnXWgpwGIwD7m7WFuwg18dfJ7DHUcBWFa0mGvnrGdW\n3sxRt1O7cav11uPsuQnUhswBim1u9Dr9gIzz5DXemoLEnPf4g/f7Z3ZRZi9lTn71uI81lEgswjv1\n27i48vw+CWjDSd4ONJnL7KTB30hEiWJKYZ39ZOtIJBdKz3vSBbqjePzhKT9krqgKvoifGc4qTHpj\nShnn3og/kZjWn9lgwmwwJzLSh3O083hi7q5rmHlsbXhLm1scKag+s38DP/v4/45qrbm2Tjd52HxM\nwTs08lzmWAu1aMlq1a6+AfriyvMB+MsoE9eaAy20BttY7J7fM59aAUzPjHMtaW9p0SKKenqnQxWt\n0YbNtZ63Tqej3F5Gc6Bl0FGLl46+wuGOoyxxL+T+Vffwt+d8dUyBG6DSUYZRZ6DOe5r9PUvEkoO3\nUW+k2Ooe0PPun2kO4DLHp146x1HHH2BP88c8e+A5nj3w3LiXLQ7n/cZdvHT0T/xlFKNMwUjfTUk0\nrkQ9iqnZ+85kz3vaB++mjuxIVvNF/Kio5FvyKLOX0ugfPuM8HIsQjoUTxVgG4zQ58KXQ807Och5u\n6E4bip7hjO+E1DVMUA1Gg/ijAcKxMG/WbRmxDZoz/kbsRht5Zue4gncqO0XljbHCk9bznpnU84b4\nxbvQUsCupt0pJf9p9rcdjv+8O37xnzGdg3dS4pfL7MSoN448bG7pvUGrcJQRVWMDsrw9YS97W/dR\n6Sjn7nPuHHfP1KA3UOmsoMHXyL62Q9iNNmb3uxEotZfgjwT6TF0lMs2Tgrdep6fAkj+unrcv4ue3\nh14C4vUCxrq3eSq07U5H8/c5VM97PJ/xyaAVz5nsHcVAgnci03yq97y9ScO85Y5Swkpk2B21fMOU\nRtXEg/fIvd797YcwG8yY9MZEduVgtKHoSmc5OnTDznknZ86+c3prSr3viBKlJdBGhaMMnU7XO+c9\nhrl1TwrrdxNLVVJM6oOeZDVPPYWWggFD7XqdnosqzyMUC7O7+aOUj7mvvW/PrdIRD96ZXi4WU2L8\ndO9/88z+DZPyeoqqcKD9MAWWfCod5eh1etzWgmF73laDFXPSXva9Ged9g9f2Mx+gqAoXV10wYet1\nq11VRNUYnaGuxBKxZNq8d/LQuXYu/YPBeAu1vHD4ZbwRH/PyZwOM6u9vNFRV5XBnfIptNME7OMyw\nOUzd4N0R6sKoN+IwTX78mPbBO7HGe4oH795hXmdS4s3Qd8+JZWLDzNU6TQ4iSoRQLDzkc1qD7TQF\nWlhUOC9epnGYOe/EHKM5D6fZMWyPVbtIFVkLCaXY+07ONIf4B92gM4yx5z3y+t3EhWMUNwddYQ/e\niG/IOe3lxUuAobeM7E/LN6hwlCV6Y06zg3xzXsaXi71Zt4WatoPsaPxwUvY9r/Wejletcy9KBFi3\npRBfxD/o37An7E3Md2t6M857k9ZUVWVrw3ZMeiPnl507Ye1NnjZJHjLXJJLWknYXS8x591t6VGjJ\nR1GVYbcRHcpHLfvY2bSbWa6Z/M3Zd2DUG9ndkp6Ng5oDLb3FpALNKddgGC5hDaZuidTOUBcFGSjQ\nAhK8aeqI/9GUubMj09xldiVdgIYO3r2bkgwdnLSkteF6vYk5RvdiCix5eMO+Ie/+k4ei41miw/S8\ne3rwV81aS57ZFe99jzAKkJxpDvGerMs8tiprWmnU4e6Yx1LfXMvGr+43ZK4psRUDpFwoRMs36H/x\nr3JW0BHqnJSgOZhGfzN/OvEGEC/Ic7D9cNpfc19b37XSAEW2wee9o0oUX8RPfr+RlcSNb1LC55HO\nY7QE21hZeg72CexBzczr/RtY4h4YvAdbLtYe6sSgMwy4qdSWi3UMMtqmqioH2g/jDQ38Ow1EAvz2\n0IsYdQa+uOTz2E12lroXccbfNOpSsf5IIDEkPpQjnfHvWwxmFFWhKcU19YlNSQb0vKduoZaoEsUb\n9k36bmKaaR+8G9sDmIx63HnWkZ+cQcllGstTCN69m5IM3fN2mUeusrY/aci2wDJ8mcbkoeg8s4vu\nWGjIXr12ESq1l7C++jJCsTBv1747ZDsgKdM8KcM635yHJ+wddQKOJ+zDZXIMWhpVk5hvG0V5Rq1H\nPdM1eM/bZrTiMjlpGaSy1mB6b54GBm/IzNC5oir86sBzRJUon5q9Duidl0+nA22H0Ov0LO7Z3hPA\nbXUD0Bbsu9Zb+xvt3/MutBZg1pv6fHa0xKpP9CQUTpRKRzlWg4VZeTP7zLtryhwDh807uzsptOQP\n+LssHCbj/KPW/fzXnl9w9yv/wsvHXutzQ/fCkT/SFfZy9Zz1VPZk559buhyAD0c5dP7L/b/hsd1P\nctZ1sOQAACAASURBVNrbMORztOB9Yc8yvlSHzgPaOm9T/znvqbuzWFfIg4qaWA0w2aZ18FZVlcb2\nAGWFNvQZGPYYDe1ilGd2Umx1Y9QZhl2v6h2mQIvGMcJa74gS5VDHMcrsJRTb3Ims3aGGzpOHokeq\nftaeNDy4pupCXGYnm09vHbYnqQ11avOWAHkWJ1ElOurKZansFGUxWDDpTaPqedcNskysvxJ7Me3d\nHSnNX2r5BvMK5vR5XLsQZ2Lo/K26dznhqWVV6TlcO2c9LpOT/e2H0lbLHuJ/oyc9dczJm9WndzZU\nxrlWuCevX9DU6/SUO0pp6sk494X97G2podxempgPnihGvZFvrrqbvzrr9kG/7zI5sRmtiZ53RInS\nFfYOWq2rYJi13h+37gfAoNPz+qm3+Ldt3+ePx19nZ+Nutjd+wExXFeurL0s8f3nxUow6A7ubUx86\nP+mpTdxIDhX0VVXlSMdxXGYnK0vPBki5mFCgZ2vioea8p+Kwee9uYtLznnRd/jChcGzKJ6tBcmB0\nYdAbKLWXcCbQNOQFM9HzHjbbPH7eQwXvY50nCMfCiWHKgp5ezFBJa8lD0SNVP+sIdaBDR4ElH7PB\nzJXVl9EdC/F23dC97zP+JmxGa+ImApKzUVMvxRqOhQnFwiPWq9bpdOSZnYka2amo9dZTYMkf9tgl\ntiIUVRmyMpimN99g/oA1rlpG/2RnnDd4m3jl+Os4TQ4+v/Az6HV6lhYtwhP2Dnsj8VHLPp7e92vC\nw+RXDOdg22FUVJb1mz5w9wTv/hnn/Qu0JKtwlBNVojT729je+AFRNcbFleenZd6y0lk+ZOlMnU5H\nqb2ElmAbMSWW+Fy5kwq0aBLBu1+JVFVV2d+z4clPP/0wN86/DpPexGsn3+SX+3+DQWfg9iVfSOzU\nBfHRnyVFC2nwN6Y8rK1VmtPr9Oxu/mjQka6WYCtdYQ8LCuZS1XNz2ZDizaV28z1g2Nw0dRPWMrlM\nDKZ58G7KkmQ16JttDvGh43AsPGS94+E2JdEk9vQeInj3H7LN1y4gQwRKT9iHs2coWhuuHOpD19Hd\nSV7PjQjAJVUX4TQ5eLtu8MzzqBKlpacoSfJFdixLSbShbW3+eTgznJV0hb2JIjXD6Qp58IS9A9Z3\n99c77z380PlQQ+YQT3Yy6AyTWiZVURV+uuNZIkqUmxZ9NnGDot3caeuZ+1NVlZeO/oldTXtGvcZd\ns79nTr3/3P9Qc979NyVJpo3c1HU1sLVhB0adgfMrVo2pXeNVZi8hpsZo625P2sd7YLAvHKJEaoO/\nka6whyXuhVhNVtZWX8oDn/gWn51/LcVWN5+df21iiiXZuSXxnvGHKfS+T3nq2Nd2kPkFczin5Cya\ng62DbsWqDZkvKJiLzWjDbS1M+eYyGA2i1+mxJK0MgKldIlWCdwYlappP8TXeEA9OFoM5sexlsMSb\nZL4UEta0wO4fImFtf/shTHoTCwrmAr0Xwq4hh817d+nKG2aJh6IqdIS6+mTUWhK9725ePfz2gJ9p\nDrSiqArl9r4VxRLBexQZ4fsSRTMWjvjc9bOuAHp7HsMZrLLaYErtRQC0BEYI3u0Di3toDHoD5Y5S\nGnyNKQ9Xq6o6rhKb75zexqHWY6woWZ4YFgVY7F6ADl2fLUuTHek8TnNPgt4bpzYTjkVG9bqKqrC/\n7RB5ZldixEGTZ3Zh0BkG9rwTBVoGTo1on51Nx96lKdDMitLlw97kplOZPX4j0RRoGbS6mkbburb/\nzmL7BikAo41k/e9PfIsrZq4Z9HXPLukZOm8Zed5b+9u/Zvb6xPs+2NC5lsy2oHAeAFXOcjxhb0qB\nNxAJYjNaBx39cJldUzJ49+7+JsF70jW1xzMcs6XnnTxHO1LSmjfsx6AzDFh6kUwbNh9sT++O7k7O\n+JtYUDgXU7/djQYLANpQtBZMh+sRe8JeFFUZ0MO4dMYncJoc/OnwmwNeozfTvLTP43kj9PAHs7/t\nEEadgYWF80d87pz8apa4F3K48xhHO08M+9zeZLXhg7fW824eJuM8psQ41HGMUnsxxTb3oM+pclYQ\nUSIpJ7+9d2Yn/7z1IY53nUzp+cmiSpQ/Hn8Nl9nBTYuu7/M9p8nB7LyZnPCc6rPbl0bbCnVh4Xw8\nYe+ot0b9S/37eCM+lrgXDri4J9Z6B/sPmw+esAa9wXtPY3yu+OKeLVszIbnG+XA9b71OT745b8BI\nW/8NT1JlM9pY7F5Ive/MgBKtyWo9p6lpO8C8/NksLJzHsqLFmPSmAUPnqqpypPM4TpOD8p4bkqpR\nTO0Eo8EB892aPJMTfzQw5Wr5d2ZwRzGY5sG7dzexqb1MTCuNmlyHe6TlYr6wL76l3jDzeFqvfLBs\nc23Idpl7ceKx4XrevbXC+wXvQXrEQ12kLAYzn557FcFIN785+Ls+F4feTPPyPj+TN8qlJF0hD6d9\nDcwvmDtgiG4o18xZD8CrPUujhpJIVhuhbnmxrafnPUzwbgm2EY6FmZM3a8jnjLZM6ntndgFwqP1o\nSs9P1hnqIhQLc27FWYMWtllStAhFVTjY79i+sJ89zR9Tbi/lq8tuxWww88apzURS7H1vrd/OhsO/\nx2lycNXstYM+x20txBvx9ZlP1+a88waZ83ZbCzHp4zekpbbixMhSJiQXaukI9RRoGSIYFFjy6Qp7\nEiMtg214Mhq9WedDD52/erKn1z1nPTqdDovBzLKixTQFWvoMnbcG2+kMdbGgYG7imjOav89ANDhk\nHfRE0toY1rinU0eoC6POkJECLTDNg3dTRwCH1YjTZsp0U4bljwRQVKVPz7vEVoRhmIxzX8Q/bGlU\niC/L0KEbdM57X/vANbUmvRGnyTFotnn/cqO9O34NfG5HzxCn2zIwMefiygs4q3RRoviHpremeb+e\nt5YYl2LCmjZ3uiSFIXPN3PxZLC5cwKGO/9femcdHVZ/7/3NmzeyTZRICSchGQlgDooACWlDaulW5\nAkqLVq07P62K1+VWREQKam/7w6XKtep9YVuliLb0ilbUK6KgiLIEkkAgCdkg2ySZmcw+5/4xc05m\nklmTTGYOed6vF68XOWcy8/3mnDnP93m+z/N5anCqqy7k6870NEEn00ZsH6mUKqCWqtAeJmzOPfBy\nguxXcoyLQWmty97Ne9wNUQrE+MN5fGnK4IZlMr/vHRg6/9YvIUwjU+PScRej29GDr1q+jfiZXzd/\ni79Uvwe1VIUHZtzFG7r+9GWc94WUvepqcqRIBnbUEzEijPG918VxSlSLFoMiHQyYQM87RBhWn+IT\navEtVKuNNb6GJ7F53RzTMiZDzIhxKET2eIOpCUfbj6NQNx6lflGqmT6j75+tzu13F6f2LYTGqbiK\niPD3p9PthNPjCu15J6lEapetG7ogZX0jRdw+1ePxYM2aNVi+fDlWrlyJ+vr6gPNvvfUWli5diqVL\nl+Kll16K1zBC4nZ70Gq0IistvHeaDARTA/NmnGfgrOXcgMzP0911sLntMPg8vFCIGBGUUsWABDGX\nx4XqzpPIUKQjUxmY1KWTa4Nmm/f0M94p4hRIRdKgXzhjmHATwzC4+6KVkIll2H7yH7yX32I5hxRx\nyoDkEG2MKmiVXEQhfWKEVwYSyfvutpvQ7ehBnjZ8yJzDoMhAu60zZCiQM8hjwxlvDefZRM7oPdRa\nwf8/WnU3f7gQIZcg1p88TQ7UUhWOd1bz9yPLstjbLyFsUd4CyERSr/cdRn3r6+YD+EuV13DfP+NO\nvjQuGHytt9++d4/dNKBMzJ+S1GJoZCrMyZ4V8jUjgVQsRVpKqnfP294NpUSBlBBbXf1bg/Y1aYnt\nXuZQShWYmDYBDebmoPkXu/z2uv2fkZPTyyAVSQIkVk/6JFFL9EX8MYMyA1KRJOLi0uoO3pSEYzBK\nh/HG7fF2TUxUshoQR+O9e/duOBwOvPvuu3j44YexceNG/lxDQwP+8Y9/4J133sG2bduwd+9eVFUF\nz1SNF61GK9weVjDJasBAHe5sVRZsbvuA/WEuweRHufMjvrdaqobZaYHL4+L/1XTVwua2DyjLAbzG\n2+a2w9avrrp/2NxbZhW8F29nCAlIjkxVOq4ruhK9LiveqX4fbo8brb1tyFZlDlhoycQypIhTolqV\nuz1uVHaeQKpcz+/LRUuRPh+lqcWoMp7E6e76Aecb+GYk0bX6NCi95WKh9OkbfQ+8YJnCHFqZBhqp\nGk3m0KIZHN+3HgEDBnmacTDau2JOAOKNtzK48faKp0xAl72b38o51V03ICFMI1Njfs5cdNm7sa85\nuPe9r/kA/lK1HUqpAvfPuDPs3wDwzzj3lt65PW6YnOagZWIc1xVfiT9es2FQ4ebhJktpgMlhRntv\ne9j9U854G21dfIlYsIYnsTDD4PWiD7YeDngGnOlpxOH2YyjQ5g1o2ZsikWNS+kSc7W1Fs/ksX9+t\nkioDImMiRoRs1ZiIved7nZyuefBFSzJKpHY7vAItiarxBuLYz/vgwYOYP99rPMrLy1FR0bfyHzNm\nDF5//XWIxd4yIZfLBbl8YHgrnjS1+dpXJvl+NxAo0OKPf9JaCbxf4NruelR2nkBJajGK+wl7BEMt\nVeJcbyse+N8nBpwLVqKkl3lv1m57T4CHEKxLl1amQb2pAR7WExBaCtY5qT/zx83BD61HcKT9GHbV\n7fZmmofoXa2Th5di5ag3NaLXZcWMzGmDirZcWXAFqo01+LD2E6wq/xV/vK7nDD6u/wxA5ExzDoPf\nvrdBOTBC0mRu8RrnCMZlnDobVcaTsIbZM+y29+B0dx0KfUlHZ0xNOGNqCro4C4XR33iHcJgnp0/E\nd+cO4VhHFcaqx/CJaf0Twi7PuxR7Gvfh4/rPMXfsRXwNe7u1Ax/VfYb9Ld9BKVHg/vLIhhvwq/X2\nJa2FUlfzR8SIIJPIAETf3S1eZCkNON5ZDRfrDrmgBQB9Sp/KWovlHIz2LlyQOX1IYdtphskQVb+H\nnac/ws7THw04/9OCK4J+V2YapuJwWwV+aDsKmVgGo70L5YYpA8YyTp2NM6ZGnOttCxk96WtKEtyR\nSkahFj5ZLUHqakAcjbfZbIZa7RfmFYvhcrkgkUgglUqRlpYGlmXx3HPPYdKkSSgoCG9oUlOVkEjE\nYV8TC/sqvXuoJQXpMBjC71EmGrbTm9yTk5EZMNZS23h8WAuYGK8xNBg0+K/j3jKrFeXXRjWv66Ys\nxu5TX6K/5kKaQo95JTP4THOOsecMQAsAhTPg/Z1nvA/B8VlZMOi9xw2aVNT21EOhE0Mr77sXTK4e\nyMUy5GdnhTSiWZk6/L9LfolHPlqPXXWfAgCKM/OCzildpUdrWztS05WQiELfI5+d9WaLzy0oH9Q1\nNxim4V+NJTjWegJdonaIGBH+VvFPfN/iXZhOHzMJ80pmQtbvbxbss4p6c4FawCo2DzhvcfTCaO/C\n9DFlEcdZbMhDlfEkeiUm5BmCRxMOnjwIFizmF85Cpiodu+p2o9PTBoMh+pBxb7X3wZmu0EObEnxM\n8zQz8N/H38FJUw2u1S3ED21Hka3OxMUTpgdcZwM0+HHxAvzzxKeoMB1FefZk7Dj2Ib6o2w8368E4\n7Rg8MOc25KdG51Eyqhzge8AC79+yu8MbAh6ji/zdTobvflF3Dj73Bm4wVp8ZckwFTDZQATjEVpyx\ne6M/s/OnB7w+1vkYoMHPp12Pw77Me3/y9ONwaekFQb+jl+kvwttVf8PRjgrkG7wLrPKcgfdrqTEf\n+1oOwCTqgsEwYcD7AECTy/v+GTpd0LmMF3sX7U6JPSmuFwCctHqTI3PSQ18vf+Ix7rgZb7VaDYul\nby/V4/FAIun7OLvdjieeeAIqlQpPPfVUxPczGoe3AUOjz/NWiBm0tSXPXkowWjq9DyPWJg4Yq8rt\n9YJrzp0BSoEDp47h0NnjmKAvhIEZE9W8CuXFuHNS8JKprk4bgMDwuNTljZDUnTuLLFGfl9na7fV6\nXBYR2nxa4HJ4PcHa5paAVXerpQN6uQ7t7cFX0gaDBm1tJoiRgmsKf4LtJ/8BANBAH3ROCkYJFixq\nm1vC7kEdaDjiTVYSjxv0Nb9i3I9wrPUENnzxEi/lWqwvwFUFi1GSWoTufn8zbi79SXF5w8i1rU1o\n0wee50rSDLLMiONMFXu99mONp5CO4Mb7y9MHAAATlCWAb5FWefY02gzR/w3O9XRAIpJAI1eHGROD\nPE0OqtpO4f3Du+F0OzE7a1bQ63yx4WJ8XPMF3j70Pt74/l14WA+ylJm4Mn8RZmZNh8glivoaeVgx\nRIwILV2taGszoa7NmwMg9aSEfY9Q12akUbr7IgQKVhV6TDbvorDZ2IZqh/ceyZGO518/2PnMSZ+N\nOenBy+VCfUcBb7OVI+3HsKvqfwEAY6U5Az5fB28+QlVLLUqVwffmW9p9zzeHKOhcXDavN9/a3ZkU\n1wsAzvjuMYkr/D0GDO0+C2f047bnPXPmTOzZ423zeOjQIZSU9GVEsiyLe++9F6WlpVi3bh0fPh9J\nmn3GW0h73hpp4IU0KNK9Dy1fxjkvpuBLrooHnHHsXy5mcpjAgAkQu9AFyQS3ux2wOHujDjddmnMx\ninT5EDGikJnX0Qi1mBxmnDE1okiXH7b2PRITUotQkloMi7MXRbp83F9+J349426UpBZF/mU/DGHK\nxZqi2O/m4MtxQiitddtNqOmqRaEuH3q5DjqZFhqpOuaM82hbH05KL4WbdWNX3W6IGXHIhDCdXIP5\n4+bC5rYhQ5GGWybdiN/MfgizxsyIOQwsYkRIk+v5hLWeMNKoyQjXoAQIv5WklWm8memWVpzqqkWu\nemzQhicjBVdqVttzBiqJMqBhEEefBn/opLXeENKoHH09vZMnbM6J5SRKoAWIo+d9xRVX4KuvvsKN\nN94IlmWxYcMGvPnmm8jLy4PH48G3334Lh8OBL7/0alk/9NBDmDFj+HrpRqKpzYJUjRxy2cgvHGIl\nVO9piUiCTEUGWiznUNNRx0sYxmpIYiGURKrJTxqVI5hRDdWvOBQiRoR7p9+ODltnyD3MaEpJKn0l\nYrFmmQfjjikr0WHrRI567KArFZRSJVRSZVCBlViM9xhVFkSMCE2m4A/Hw20VYMHyylgMwyBXOw7H\nO6q95YRRKItxrQ+jyaGYnF6Kj+o+hcvjwozMaWH37K8ruhIzMqdivCY3QHt7MKSlpOJE1yk43c4+\ndbUEGrZY0Mm0kItlsLsdYb8XYpEYOrkWDb4ExbIYchbiAdfgxMW6UawvCLroUktV0Mt1EYx38Hag\nHBKRBEqJIqk6i3Ea84nqKAbE0XiLRCKsW7cu4FhRUZ9ROXo0Ps3go8HudKO9y4qy8cEzZ5MNk8ME\nmUgatGY1W5WFs72t+NPBdwB4yzriSajmJD0O84AHT1+t90DjHYsqUYpEHj7rOsjn9Od4kF7Qg0Up\nVUApjS4xLRwGRQYaTE1we9wBxqvJ3AIRIwpZ1+yPVCRBltKAJksLLM7eAYIRXDlPuWEKfyxPk4Pj\nHdVo6GmKqt69r/VhZC9jvCYXSokCvS4r5kVQLhOLxCgcpk5eaYpUoMvbD5trhiMUz5trUNJgaooY\nkdLLdXyy1HAsRIcC1+DkaHtlQH13f8aqx+B4R3XQ+xPwT1gLnTyskUWXlBqMZvNZvHdyJ36Sv5CX\nbh0qRns3RIyIb6ucCEalSEur0XuzCKGbGODrPR1C+IPLwD5lrOclDOOJSqqEmBEHCLU43E7Y3LYB\npWzBPGI+3BSkc9JgieR5e1gPKjtPQC/XYawqdL3wSGNQpMPNugN6NHtYD5rNLRijzIREFN3autww\nFQ63Ay8d+i/0+rVUNTnMONl1GgXa8QGLJS4jntNij4QxhgYMYpEYi/IuRblhStzvRX94oRarkQ+b\na8NkmycbF2dfiHLDlLAZ8kDfNUgRp6BAmzcSQwvLotxLkafJ4UvOgsGJCYXyvvuMd+jtrExlOizO\n3kFp8++o+SeqjCfxyuE3omowFIlepxUNpiaMVY1JmEALMEqNN99NLDW+ZWIWZ++QVYE8rAcmp3lA\nmRiHv9b3lSHKOoYTrmOY/5eor0wssvHuDNN8YbBEaj/aYGqC2WnBpCDa2InEoOS6i/Xte7dbO+Hw\nOKMKmXNcWXA5Ls6+EGdMTXjx0Ot83ewhPmQe+GDlup5FK9bCd0+Ksqb1J/kLccfUm0f0wZbOC7V0\notve46v/H9ny06GwIOfiqP5m3B7rxLQJQ95qGA4mpBbi0QvvDxtJy4kgk8rXeYeRGS32SdhyzU+i\npbb7DCo7TyBTmQE36/EZ8Njeoz9H24/Dzbr5Pf9EMSqNd1v3yHjeW47+NzYd2BxWSSoSvS7rAGlU\nf7iHfGl6YYCEYTzRy7V8cxHAX6AlcIERTBlpMGHzSEQKm3OdlxK9R9gfPmnNT92qOYb9bg4RI8JN\nE/8Nc7Jn4YypES/5DDgfMu/3kNHLdVBLVbywTCSSoaY1EtyWTYfNiG6HCTqZJqkWasNFuq9JTSw1\n+omGUwkMpbTG9fIOpSwHgNef55TcouXDOq8i4orSf8OvpvzCa8CPvBGxyVA4uE5s4aINI8GoNN7l\nxRm4Zn4hJuXHb8+bZVk0mJrQZe/GkbaKyL8Qgv59vPszRpWF2yavwAMX3z5iDyudTOvTWLb4xjhQ\noAXwJpqopMpAzzsOWZpqqQoMmJDG+3hHtVcBLDV4nWmi6Ovr3ed5x5Ks5o+IEeHnE2/AnDGzUG9q\nwOZDW3Cy6zTytXm8iAkHwzDI1YxDh80Yspe7P1xyTiIzayPBSaS2WztgcpiDNiQ5H5ibfSF+UbYM\ns8ckpv/4YMhSGiBhxCFlfHtdvZCKpLxYTzBy1GORIpbzGurRUNdzBsc7qjFBX4gJqUWYZpiM26f8\nHC6PC68c/lPYPgWhsLqsqOw4gbGqMchSxabSONyMSuOdna7CnddNhXQYRV/6Y3ZaYPd1OdobQgYy\nGjivNZTnDQAXZJUjQxm8bWQ86CsX8z7UTf2kUf3R9ks0MdqM0MjUA8RfhoKIEUErUwc13hZnL+p6\nGlCgzYMyhHZyouCU1YbDeAM+A152A2aPuQANpiZ4WE/I0B4XOm80RZZW5fIUog2bJwK9XAsRI0J9\nT4Mvue78NN4pEjnmZs9KipB5tHh7z2eh2RK893yvyxY2WY17jyJ9AVp724N2NQwGr81ecDl/bLph\nCm6f8gs4PS68fPj1mEsmj7ZXwsW6A/rZJ4pRabxHgnZrJ///E8YatPaGbv8YDlMIadREwiXVcOHU\nnhClbIDXePe6rHB6XPCwHhjt3UG7iQ2V/osEjor2SrBgE56ZGwy1VAWlRBEQNm8yt0AtVUXsTBYK\nESPCL8qWYk72LKSI5bggc3rQ18WStGa0d0PMiKMqK0sUYpEYqXIdX+sdrikJMfLwveeDPAetLmvI\npiT+9IXOI3vf9T0NqOioQpGuABP0gYmT5YYpuKVsOexuBz5v2BvlDLxwndQSvd8NkPGOGx2++t1C\nnbcf89eD9L57nJxhTJ6HEe95+7J6Tc7Q0YG+pgImvgFKPMT8NXINHG7HgIYp3/v2fZPhyxYMgyID\n7dYOeFgPbC4b2m2dGKvOHtIWiIgRYWXZMjw3f23I3IJc3nhH9jy6bF6BlkRm1kaD//aAUMrERgt9\nYkKBoXOWZWGNwvMGvMlxAKLKGN9V1+d1B9Vmz5oOjUyN453VQaMBwbC6bDjeWY1sVVbIPgsjSXJ/\nGwVMu6/D0aK8S6GSKLG/5Tu4BpG4FkqgJZH0ed5e4x0qYQ0ITCaLR7Ia/zlBMtutLiuqOk9gnDob\nmVHUTCcCgzIdLtYNo60bzb5uXOF6eMdCuNBqWkoqVBIlGnrCe97J0PowWgKM93kaNhcqnPHuH6a2\nu+3wsJ6wZWIcuepxkItlET3vM6ZGHG2vRKEuP2QSr4gRYVJaKUwOMxqj6MoHAMfaK3nxoWSAjHec\n4MLm2cpMXJQ9EyanGUfbK2N+n1AdxRKJvl/YPJg0Kod/GVc8ysT6f46/hCK3PzXDkBxftmD4J601\nRdHDe7jgktbabZ0BteH96XGYEt76MFrS/Yz3YLcdiPiQr82DVCTBkfbABijWCNKo/ohFYhTpCnCu\nty1kWSgA7Kr1NjIK5XVzcIJNxztORPxsAPi+zRcyT3CWOQcZ7zjRbu0AAwZpKal8S0SuRWIs9Hne\nyfMw6q9vbnKYveItQTw9f484HgItHFyY1N/z5kLm/euckwl/jfO+MrGREZLJ00au9+aT1YTgeSv6\nkjbP14Q1ocL3ALec4/u9A33SqNEmk3L73jUhSsYaTM040n4MBdrxEatLJqZNAAMGx32lpOGwuew4\n3lGFMcrMkK1NRxoy3nGiw2aETq6FVCxFtioLhbp8VHaeCEhkiwaTwwSpSJJUghMysQwKiYI33j0O\nU8iwfoDxjlHXPBb48LxvRW512VDZmRwlHeHghVp6O9BobgEDBtnKkdlP4/a9w2XcGm3Rq6slmkDP\nm4x3ssF5rJz+ANAn0BKN5w347XuHqNP+KMJetz9qqQr52lzU9pzhxxGKYx2VcCZRyBwg4x0XXB4X\njLYuZPh5ApzO874YE9c4adRkE5zgVNacbiesLlvIyIC/8e4cgT1vLomugt+fSl6vGwAyfWHzVp/n\nnaU0DGsZXTjyojDevEBLHK7ZcMPteUtF0iF1jiPiw9SMMkhEEj5jG/DzvKM03nmaHMjEsqBJa03m\nFhxqq0C+Ng9laZE1+wFv6NzDelBlPBn2dd8nUZY5BxnvONBp6wILlpdsBIAZmdOgkCiwr+UA3B43\nf7zDasRfqt7DC9+9DLMjUDCDZVmYHeak3L/Ty7TodVnRyZXmhPC8ucQhk93reUtEkriUHGn5toFe\nz/sHPmSePCvlYKikSigkKajpqoXNbR9UffdgSU9Jg1KiCFsu1qeulvyed6pcBwbMeauuJnRSJCmY\nlFaKZstZnPW1MbZG6CjWH+++dz7O9rbyW4ocH9ZG73VzcCWkXOOiYNjdDhzrqEKW0pBUvRHIvU36\nGwAAFx9JREFUeMeBDl9o3N/zlomluGjMDHQ7TKjoqITR1oW/Vu/A0/ufw1fN36C2px7ftR4KeB+r\nywoX606qTHMOLozKtScMtcBQShQQM2J0O0zotBuRGqeSI38P3+ay4VgSlXSEg2EYGBTp/ENsJI03\nl7TWZu3gP78/3FaHEMLm3qYoC7Ag5+JED4UIAee5ct43l7AWTbY5R3GQem+v130U4zW5mJQWvXRs\nrmYc1FIVjndUg2XZoK851lEFp8eJGZnTkmpRSMY7DrTbvDXeGb5kJA4ucW3bib9j7b5N2Nu0H2kp\neiyd8DMwYAL2goDwJViJhksI4kKuoRYYDMNAK9Ogw9YJk8Mcl2Q1wLuql4llMNlNqOio8obMkyQr\nNBJcxjkwssYb6FNaCxU67+JbHybfPRiM64uvwqK8BYkeBhGCqRllkDBiXh+cq3SIRf2wJHVgk5Jd\nddFlmPdHxIhQllaCbkcPmi3B5Vt5rYgke56Q8Y4D7UE8b8D7YC7QjkeXvRv6FD1Wli3Dk7NX47Lc\nS1CoG49TXXUBJRChunUlA1w4nJPXDDdGrUzDh7jiGX7lVNZ+4IVZkjtkzsElrQEjb7y5pLW6noag\n5412YQi0EMJAIVGgLL0ETeYWnOtti6lUjCNPkwOpSMo3KWk2n8Wh1qPI0+QMSkmxr2RsYOi8tbcN\nR9uPI1ORMeLfzUjQNzIOcMY7PSV9wLlbJ6/AXVNvwZrZqzHHT6N4RuY0sGBxuK0vmaMnRMOPZEDH\nhc19Hlu46IBW3ncuHpnm/OfINOhxmH37U5nITvKQOQdXLqaQKEY8PF2kzweAoF2WhCTQQggHTnfh\nh9YjMSesAd6GR0W6fLRYzsHkMOOjuk/Bgo3Z6+YoSysBA4bvPsjhYT14u3I7XB4Xri5cnFQhc4CM\nd1zosHVCKpIGNWjpilRMM0weUBNdbpgCAAGZmD1hGn4kGi5sbnF5w17hFhj+449n1rJWpgELFk6P\nCzMzpybdly0UXNh8nHrMiI9ZL9fBoEjHqa66gERKADA5zfCwHkEkqxHCYWrGJIgZMX5oPcob71g8\nb6Bv33tv0zf4vvUIcjXjMCW9bFDj0cjUyNWMw6nuOj4SAAB7GvfhVHctyg1TMDNEj4BEQsY7DrRb\nO5GhSIvpQZyaokeBdjxOdp3mQ8y8QIs0+Tzv/t5YuAWGf81tPJqSBBuDUELmgDdUnqU0JEwJboK+\nCDa3bYBMpJCS1QjhoJQqUJY2AY3mZjSYmsCAQYokNh0Lrt77w7pPwILFT/MH53VzTPaVjJ0w1gDw\n6i78/dSHUEmUWF56fVI6AmS8h5leZy+sLmtAmVi0zMycChYsDvlC58nYUYxDI1MH7IOGW2CMlOet\n8wm1ZCozkqqkIxIpEjnWzHkEl+VekpDP7xO+CNSMNvrKxJK5FSghTMp9i+suezdSJCkx51SM1+ZC\nKpLAw3qQox6LaRmThjQebt/7WIe3Ucmfq/4Gh8eJpSU/S8rIJ0DGe9gJlawWDeX9yih6klAalcPb\nQ9s7LpUkuDQqh397xrgab5+HP9OQXCUdyQ7fatEYaLz7aryTX6CFEBbTfaFzILYyMQ6pSIICXT4A\n4KeD3Ov2J1+bB6VEgeMd1djbtB8nu05jasYkzMoqH9L7xhNJogdwvsF1E+tfJhYNaSmpyNfm4YTx\nFEwOM0wOMyQiSdKqRXEqa5ES6ngjL1VCLpbFbTwzMqeiw2bEwtx5cfuM85HUFD0yUtJwqrsWHtbD\ne0FdApJGJYSFUqpEaVoxjndUx7zfzXF90ZU42XV6yF430FcydrD1MN47uRMKiQI3lS5JaieAPO9h\npt3K1XjH7nkDXgPkzTqv8GqGS9VJewPpfZ5utMY7Ht3E/EmRpODqwsVQSpVx/ZzzkQmpRbC6Ave9\n+xrJkPEmhh8uxyOWTHN/8rQ5WJS3YNjKGMt8oXMX68bSCdcmfVtZMt7DTF+Z2CCNN19GcRQmZ3JK\no3Jw5WKRxqiTa6GRqpGnzR2JYRGDgO/W5Bc65wRakvkeJITLdMNkKCUKjEmSxkGT00shE0kxNWMS\nLhozM9HDiQiFzYeZYNKosZCuSMV4TS6qjTVgwSZljTcHVy4W6eEuFUmwZs4jI9Zwg4gdrvTmRNdp\nLPQplBlt3dDJtCTQQsQFlVSJtXMfjetWWixoZRo8ffFjUEmUSRvt9Ie+lcNMu60TWpkGsiHckFzo\nHEjOTHMObi80mgWGUqqAVERrxWQlXZGK9JRUnOry7nt7WA+6HT20303EFZVUCUkSPRe0Mk3Y5Ntk\ngoz3MOL2uNFpMw7a6+bwr1FOxkxzjskZEzHDMDUpBQyI2JmgL0Kvy4pm81mYHF6BFioTI4jkhIz3\nMNJl74aH9Qx6v5sjQ5HG91pO5rC5WqrCr6auhEEZe2Y9kXwU+9V788lq5HkTRFJCxnsYGUqNd38u\n8NUXGgZRckYQg6HEr9UilYkRRHKTPJsN5wFcK9D0YTC4C3PnY5w6G6WpxUN+L4KIhnRFGlLletQY\nT6NYXwAgvqI6BEEMHvK8hxHe8x5i2BzoEw2gTF9iJClJLYLF1YvKjhMAyPMmiGSFLMMwMtQyMYJI\nNFzJWGWn13jTnjdBJCdkvIeRdlsnJIw46ZV5CCIUJb6kNRYsGDAk0EIQSQrteQ8jHdZOpCvSKNRN\nCJb0lDTo5Tp02buhk2sFU/NKCJNtn9XgQFXrgONiMQO3mx3Ue144MRPLFobPFbJYzNi4cT3MZhPa\n29uwZMkylJRMxObNv4PH44HBkImnnnoGNTU1A47J5cnRa4KM9zBhddlgdlqQp8lJ9FAIYtAwDIMJ\n+iIcOPc97XcT5y2NjY24/PLFuPTShWhvb8OqVXciJUWBtWufRX5+Af75zw9QV1eH55/fMOBYaenE\nRA8fABnvYYP2u4nzhQmpBWS8iRFh2cLioF6ywaBBW5spbp+blpaGbdv+gi+++BxKpQoulwudnR3I\nz/dWWVx99XUAEPRYskDx3WGCawWaTsabEDiT0kohF8tQoMtL9FAIIi68887bmDJlGtaseQYLF14O\nlmWRkZGBhoYzAIC3334LX3zxedBjyQJ53sNEXytQElUhhE1qih4b5z1FWvTEecsllyzA73//HD79\n9F9Qq9UQi8V4+OHH8dvfroNIJEJ6ejqWLVuBzMzMAceSBfp2DhMdw1jjTRCJRkYd4IjzmJkzZ2Hr\n1m0Djr/yyusBP5eVTR5wLFmgsPkwQWFzgiAIYqQg4z1MdFg7oZaqoJAkRxkBQRAEcf5CxnsYOGNq\nRGtvOzKVhkQPhSAIghgFkPEeIi6PC29X/g0sWFxZcHmih0MQBEGMAsh4D5GP6z9Hk7kFl4y9CGVp\nJYkeDkEQBDEKIOM9BBpNzfio7lPo5TpcX3xVoodDEARBjBLIeA8St8eNtyu3wcN6sGLiDVBIFIke\nEkEQBDFKiJvx9ng8WLNmDZYvX46VK1eivr4+4Py2bduwZMkSLFu2DJ9/njyqNdHyr/r/RYO5GXOy\nZ2Fyemmih0MQBEEMI6tW3Yn6+rpEDyMkcRNp2b17NxwOB959910cOnQIGzduxB//+EcAQFtbG7Zu\n3Yr33nsPdrsdK1aswCWXXAKZTBav4Qwrzeaz2FW3GzqZFv9WfE2ih0MQBCFIdtT8Ez+0Hh1wXCxi\n4PYMrqvYjMypWFJ89VCHlvTEzXgfPHgQ8+fPBwCUl5ejoqKCP3fkyBHMmDEDMpkMMpkMeXl5qKqq\nwrRp0+I1nADOWVrx11PbYbHaBvX7DT2NcLNu3DRxCZRSCpcTBEEIhSeeeARLl96IGTMuQFXVcbz8\n8v+HXp8a0B70+utviPg+n3++Gzt2/A0ulwsMw2DDhheg0+nw+98/h8rKY3A6Xbj99jtx/fVX4z//\nc1PAsfnzLxvyPOJmvM1mM9RqNf+zWCyGy+WCRCKB2WyGRqPhz6lUKpjN5rDvl5qqhEQyPL2Fq3ur\nsLf+2yG9x4+LL8XCstnDMp7hwmDQRH6RQKC5JC/n03zOp7kAwpvPXYabANw0op/5i1/chI8++giL\nF1+GV175CPPmXYySkhIsXrwY586dw8qVK3HnnbdCJpMgNVUZ8m/a2XkOb775JygUCqxZswaVlT9A\noVDAZrPggw/eR3d3N958803s3r17wDGDYegR27gZb7VaDYvFwv/s8XggkUiCnrNYLAHGPBhGY++w\nja1UORFvXP8CWtt6BvX7DMNALVXFtWVdrMS7hd5IQnNJXs6n+ZxPcwHOr/nEcy4TJ5bjt7/diFOn\nGvHNN9/ihRc249VXX8LOnR9CqVTBbnegrc0Eh8MFo7E35DhkMhV+/euHoVQqUV9fh6KiiaipqUdx\ncZnvd0T4+c9vx/vv/3XAsWjnFm4xFreEtZkzZ2LPnj0AgEOHDqGkpK8Getq0aTh48CDsdjtMJhNO\nnToVcH4kUMtU0MjUg/qnlqpGdKwEQRDE8CASifCjH12OF17YiPnzLwvaHjQSZrMZf/rTa3j66Q14\n9NHfQC6Xg2VZ5Ofno6rqOP+ahx5ahcLCwgHHhoO4ed5XXHEFvvrqK9x4441gWRYbNmzAm2++iby8\nPCxatAgrV67EihUrwLIsHnzwQcjl8ngNhSAIgiB4rrrqWixb9jO88877aGlpHtAe1OFwhP19lUqF\nqVOn4+67b4VYLIFGo0F7exuuvPIafPfdt7jnntvhdrtx6613YNGiRfjssy8Cjg0HDBvNMiMJGO4Q\nyvkUYgLOr/nQXJKX82k+59NcgPNrPjSXvt8NBfXzJgiCIIggHD9egVde2Tzg+KJFi6PKSI8nZLwJ\ngiAIIgiTJk3BSy9tSfQwgkLyqARBEAQhMMh4EwRBEITAIONNEARBEAKDjDdBEARBCAwy3gRBEAQh\nMMh4EwRBEITAIONNEARBEAJDMAprBEEQBEF4Ic+bIAiCIAQGGW+CIAiCEBhkvAmCIAhCYJDxJgiC\nIAiBQcabIAiCIAQGGW+CIAiCEBijriWox+PB2rVrUV1dDZlMhvXr12P8+PGJHlbMHD58GC+88AK2\nbt2K+vp6PPbYY2AYBhMmTMBTTz0FkUgY6zKn04knnngCTU1NcDgcuOeee1BcXCzI+bjdbvzmN79B\nbW0tGIbB008/DblcLsi5cHR0dGDJkiV44403IJFIBD2X66+/Hmq1GgCQk5OD5cuX49lnn4VYLMa8\nefOwatWqBI8wel577TV89tlncDqduOmmm3DRRRcJ9trs2LED77//PgDAbrejsrISW7duFeS1cTqd\neOyxx9DU1ASRSIRnnnkmft8bdpTx8ccfs48++ijLsiz7ww8/sHfffXeCRxQ7W7ZsYa+++mp26dKl\nLMuy7F133cXu37+fZVmWffLJJ9l//etfiRxeTGzfvp1dv349y7IsazQa2UsvvVSw8/nkk0/Yxx57\njGVZlt2/fz979913C3YuLMuyDoeDvffee9nFixezNTU1gp6LzWZjf/aznwUcu/baa9n6+nrW4/Gw\nv/rVr9hjx44laHSxsX//fvauu+5i3W43azab2c2bNwv62vizdu1a9p133hHstfnkk0/Y+++/n2VZ\nlt27dy+7atWquF0bYSzNhpGDBw9i/vz5AIDy8nJUVFQkeESxk5eXhxdffJH/+dixY7jooosAAAsW\nLMDXX3+dqKHFzE9+8hM88MADAACWZSEWiwU7n8svvxzPPPMMAKC5uRlarVawcwGATZs24cYbb0Rm\nZiYAYd9nVVVVsFqtuO2223DzzTfjwIEDcDgcyMvLA8MwmDdvnmDms3fvXpSUlOC+++7D3Xffjcsu\nu0zQ14bj6NGjqKmpwVVXXSXYa1NQUAC32w2PxwOz2QyJRBK3azPqwuZms5kPnQGAWCyGy+WCRCKc\nP8WPf/xjNDY28j+zLAuGYQAAKpUKJpMpUUOLGZVKBcB7Xe6//378+te/xqZNmwQ7H4lEgkcffRSf\nfPIJNm/ejK+++kqQc9mxYwfS0tIwf/58bNmyBYCw77OUlBTcfvvtWLp0Kerq6nDHHXdAq9Xy51Uq\nFRoaGhI4wugxGo1obm7Gq6++isbGRtxzzz2CvjYcr732Gu67774Bz2ghXRulUommpib89Kc/hdFo\nxKuvvooDBw7E5doIx2INE2q1GhaLhf/Z4/EIynAHw3//xGKxBDyUhEBLSwvuu+8+rFixAtdccw2e\nf/55/pwQ57Np0yasXr0ay5Ytg91u548LaS7vvfceGIbBvn37UFlZiUcffRSdnZ38eSHNBfB6ROPH\njwfDMCgoKIBGo0FXVxd/Xkjz0ev1KCwshEwmQ2FhIeRyOc6ePcufF9JcOHp6elBbW4s5c+bAbDYH\nPKOFNJ+33noL8+bNw8MPP4yWlhbccsstcDqd/PnhnMuoC5vPnDkTe/bsAQAcOnQIJSUlCR7R0Jk0\naRK++eYbAMCePXswa9asBI8oetrb23HbbbfhkUcewQ033ABAuPP54IMP8NprrwEAFAoFGIbBlClT\nBDmXP//5z3j77bexdetWlJWVYdOmTViwYIEg5wIA27dvx8aNGwEA586dg9VqhVKpxJkzZ8CyLPbu\n3SuY+VxwwQX48ssvwbIsP5e5c+cK9toAwIEDBzB37lwAXgdLKpUK8tpotVpoNBoAgE6ng8vlitvz\nbNQ1JuGyzU+cOAGWZbFhwwYUFRUlelgx09jYiIceegjbtm1DbW0tnnzySTidThQWFmL9+vUQi8WJ\nHmJUrF+/Hrt27UJhYSF/7D/+4z+wfv16wc2nt7cXjz/+ONrb2+FyuXDHHXegqKhIsNeGY+XKlVi7\ndi1EIpFg5+JwOPD444+jubkZDMNg9erVEIlE2LBhA9xuN+bNm4cHH3ww0cOMmueeew7ffPMNWJbF\ngw8+iJycHMFeGwB4/fXXIZFI8Mtf/hKA17ES4rWxWCx44okn0NbWBqfTiZtvvhlTpkyJy7UZdcab\nIAiCIITOqAubEwRBEITQIeNNEARBEAKDjDdBEARBCAwy3gRBEAQhMMh4EwRBEITAIONNEMSQ2bFj\nBx577LFED4MgRg1kvAmCIAhCYAhbF5QgiJjYsmULdu3axYtf3HTTTbj33nuRm5uL+vp6jB07Fs8/\n/zz0ej0+//xz/OEPf4DH40Fubi7WrVuHjIwMfP3119i4cSNYlsXYsWPxu9/9DgBQX1+PlStXorm5\nGXPnzsX69esTPFuCOH8hz5sgRgl79uxBRUUFtm/fjg8++ADnzp3Dzp07ceLECdxyyy34n//5HxQV\nFeGll15CR0cH1qxZg5dffhk7d+7EzJkzsW7dOjgcDqxevRqbNm3Czp07UVpayvdibmlpwYsvvohd\nu3Zhz549OHnyZIJnTBDnL+R5E8QoYd++fThy5AiWLFkCALDZbGBZFvn5+Zg9ezYA4LrrrsPq1atx\nySWXYNq0acjJyQEALF++HFu2bEF1dTWysrJQVlYGAHjooYcAePe8Z82aBb1eD8DbttZoNI70FAli\n1EDGmyBGCW63G7fccgtuvfVWAN5OTmfPng3QjeZ6qns8noDfZVkWLpcLUqk04LjJZOI7QPl352MY\nBqS8TBDxg8LmBDFKmDNnDv7+97/DYrHA5XLhvvvuQ0VFBWpra1FZWQnA2wp0wYIFmD59Og4fPsz3\njX/33Xcxe/ZsFBQUoLOzEzU1NQC8DSX++te/JmxOBDFaIc+bIEYJCxcuRFVVFZYtWwa324358+fj\nwgsvhE6nw+bNm3HmzBmUlpZi/fr1UCqVWLduHVatWgWn04mxY8fi2WefhVwux/PPP49///d/h9Pp\nRF5eHp577jl8/PHHiZ4eQYwqqKsYQYxiGhsbcfPNN+Ozzz5L9FAIgogBCpsTBEEQhMAgz5sgCIIg\nBAZ53gRBEAQhMMh4EwRBEITAIONNEARBEAKDjDdBEARBCAwy3gRBEAQhMMh4EwRBEITA+D+nyoGe\nzWe//wAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x157d60ac8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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ih9FOUk0Sjoex5Uh2g3HrtC7HdKtKoZW0VTJ8IpazIMxjxvKUUWlYDbUlzvVm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\n9HAXZ0TkJuTQ4+2lsW98+IuqOw4CQxtvDgi0hmHwyWAB52b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"text/plain": [
"<matplotlib.figure.Figure at 0x10b4699b0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_history(history)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 地続き巻での比較を一括で行う\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ll = 0\n",
"1巻と2巻の比較\n",
"/Users/esuji/image/yuyu_bunrui_y4th/train/0_yuzuko\n",
"/Users/esuji/image/yuyu_bunrui_y4th/test/0_yuzuko\n",
"286 train samples\n",
"0 142\n",
"1 144\n",
"dtype: int64\n",
"28 test samples\n",
"0 12\n",
"1 16\n",
"dtype: int64\n"
]
},
{
"data": {
"image/png": 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mZ8hLXYVjXgzGWLO4DKNoYN/JIapL7Uz4I1y/tRGLScTtH+Lbu/+DJa5m7tn4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TAAAg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\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10a8c77b8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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laUJNZLjMgbThJA5c53E5DgYMRFYw3OblHgsqKXKGx4BnSHvU2uovUEuk1/Xz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Gnk9YKv21kJOjOfAsMAfrdFzzunNieudDt7GiBKMn742DGkM8ae6CsN7XISsgq03H43oTnX9650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\n+LiuQYsWF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"text/plain": [
"<matplotlib.figure.Figure at 0x15ef22cf8>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"28/28 [==============================] - 0s\n",
"\n",
"label = 0\n",
"[2 1 1 1 1 1 1 1 2 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2]\n",
"[1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2]\n",
"class1: 0.75 1.0\n",
"class2: 1.0 1.0\n",
"total: 0.892857142857 1.0\n",
"28/28 [==============================] - 0s\n",
" precision recall f1-score support\n",
"\n",
" 0 1.00 0.75 0.86 12\n",
" 1 0.84 1.00 0.91 16\n",
"\n",
"avg / total 0.91 0.89 0.89 28\n",
"\n",
"\n",
"2巻と3巻の比較\n",
"/Users/esuji/image/yuyu_bunrui_y4th/train/0_yuzuko\n",
"/Users/esuji/image/yuyu_bunrui_y4th/test/0_yuzuko\n",
"282 train samples\n",
"0 144\n",
"1 138\n",
"dtype: int64\n",
"37 test samples\n",
"0 16\n",
"1 21\n",
"dtype: int64\n"
]
},
{
"data": {
"image/png": 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Gi5rLZqzRCoEwExSkeLPE8iYQdOElIeL/s8nguAf7j4/h6osSDxDad3wMn3QMoMFuxV9d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\nSUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1604eee80>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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g+4KlzbeMvYxXJ7bhmLY1eNeatwEANnZuQEER9RWeVuyeI+K9Duva16Ir1IFX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\ng4w3QRAEQaQYZLwJgiAIIsX4/wGUPds/RYqQFAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x14e0f0630>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"32/37 [========================>.....] - ETA: 0s\n",
"label = 0\n",
"[2 1 1 1 1 1 2 1 2 1 1 1 1 1 2 1 2 2 2 1 2 2 1 1 2 2 2 2 1 2 1 2 2 2 2 2 1]\n",
"[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2]\n",
"class1: 0.75 1.0\n",
"class2: 0.714285714286 1.0\n",
"total: 0.72972972973 1.0\n",
"32/37 [========================>.....] - ETA: 0s precision recall f1-score support\n",
"\n",
" 0 0.67 0.75 0.71 16\n",
" 1 0.79 0.71 0.75 21\n",
"\n",
"avg / total 0.74 0.73 0.73 37\n",
"\n",
"\n",
"3巻と4巻の比較\n",
"/Users/esuji/image/yuyu_bunrui_y4th/train/0_yuzuko\n",
"/Users/esuji/image/yuyu_bunrui_y4th/test/0_yuzuko\n",
"294 train samples\n",
"0 138\n",
"1 156\n",
"dtype: int64\n",
"42 test samples\n",
"0 21\n",
"1 21\n",
"dtype: int64\n"
]
},
{
"data": {
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me1TxnFP35dnt7QWQ2iYmYWKMWaXNT8eoZc/AJ3iy5a9p36/PIN4DfhfCXBiG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\ninG+m4iInIpb5r1x40aMGjUKADBkyBBUVlZa97p27Ypnn30WiuILeJq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EAJCdnQ1JknDy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\nyQKyAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x15fdbf8d0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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YXySanW4zWnGYu93mGRzzDkSCvf4VBEEYTQyb5X3eeefx0Ucfce2116JpGvff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"text/plain": [
"<matplotlib.figure.Figure at 0x160093f98>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"32/42 [=====================>........] - ETA: 0s\n",
"label = 0\n",
"[1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1 2 2 1 2 1 2 2 2 2 2 1 1 1 2 2\n",
" 2 1 2 2 2]\n",
"[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
" 2 2 2 2 2]\n",
"class1: 0.904761904762 1.0\n",
"class2: 0.666666666667 1.0\n",
"total: 0.785714285714 1.0\n",
"32/42 [=====================>........] - ETA: 0s precision recall f1-score support\n",
"\n",
" 0 0.73 0.90 0.81 21\n",
" 1 0.88 0.67 0.76 21\n",
"\n",
"avg / total 0.80 0.79 0.78 42\n",
"\n",
"\n",
"4巻と5巻の比較\n",
"/Users/esuji/image/yuyu_bunrui_y4th/train/0_yuzuko\n",
"/Users/esuji/image/yuyu_bunrui_y4th/test/0_yuzuko\n",
"344 train samples\n",
"0 156\n",
"1 188\n",
"dtype: int64\n",
"43 test samples\n",
"0 21\n",
"1 22\n",
"dtype: int64\n"
]
},
{
"data": {
"image/png": 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XCzHbfBJGPvmrJAkJKeLNzC/7OeNoIy8pJ3QDVkkqMk2ZdDq7UBRlTCYSrau0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\nmP8HZG47G37xJb8AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x163a309b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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BxryFGDvShvenPvWpIV/4rLPO4u233+aKK65A0zTuuOMOHnnkEWpqali+fPmQ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\nhjGTne27UVCYVTI98btP3h53NJHwziO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hNUJ1ivHuF96tZfPe2Pd4fPVOVr29j8mLYmGR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\n2sVkZK6bcZVqWAeTY83m4pLz1LDwcIqoBtPveUcIm/tcCfX/Q/hkMRc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"text/plain": [
"<matplotlib.figure.Figure at 0x15edf4b38>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"32/43 [=====================>........] - ETA: 0s\n",
"label = 0\n",
"[1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 2 2 1 2 2 1 2 2 2 2 1 2 2 1 2 2 2 2 2 2 2\n",
" 2 2 2 2 2 2]\n",
"[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
" 2 2 2 2 2 2]\n",
"class1: 0.714285714286 1.0\n",
"class2: 0.863636363636 1.0\n",
"total: 0.790697674419 1.0\n",
"32/43 [=====================>........] - ETA: 0s precision recall f1-score support\n",
"\n",
" 0 0.83 0.71 0.77 21\n",
" 1 0.76 0.86 0.81 22\n",
"\n",
"avg / total 0.80 0.79 0.79 43\n",
"\n",
"\n",
"5巻と6巻の比較\n",
"/Users/esuji/image/yuyu_bunrui_y4th/train/0_yuzuko\n",
"/Users/esuji/image/yuyu_bunrui_y4th/test/0_yuzuko\n",
"338 train samples\n",
"0 188\n",
"1 150\n",
"dtype: int64\n",
"36 test samples\n",
"0 22\n",
"1 14\n",
"dtype: int64\n"
]
},
{
"data": {
"image/png": 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Z53vdVxAEvHViM7ps3eAYFh9Wf46C+HxZkYzBdFm78Y/j74FlWNhcdrx69C08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\n6OV6M/duAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x163cb2b00>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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PE8pcTWuBaID+wCALXdmb1SAukA22+iLT5vHI220uHHlLSFyx8JK8x7tkwYUA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\niBLJWg8OxULIkoxJTg6E6B3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