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diff --git a/notebooks/digit_recognizer/.ipynb_checkpoints/digit_recognizer-checkpoint.ipynb b/notebooks/digit_recognizer/.ipynb_checkpoints/digit_recognizer-checkpoint.ipynb
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**1. Importieren der benötigten Module**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import tensorflow as tf\n",
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**2. Datensatz laden**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "mnist = tf.keras.datasets.mnist # load 28x28 images of handwritten digits\n",
+ "(train_samples, train_labels) = mnist.load_data()[0]\n",
+ "(test_samples, test_labels) = mnist.load_data()[1]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(60000, 28, 28) (60000,)\n",
+ "(10000, 28, 28) (10000,)\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(train_samples.shape, train_labels.shape)\n",
+ "print(test_samples.shape, test_labels.shape)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 7\n"
+ ]
+ },
+ {
+ "data": {
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+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 2\n"
+ ]
+ },
+ {
+ "data": {
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+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 1\n"
+ ]
+ },
+ {
+ "data": {
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wm1gkiKQAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 0\n"
+ ]
+ },
+ {
+ "data": {
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+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 4\n"
+ ]
+ },
+ {
+ "data": {
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+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 1\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 4\n"
+ ]
+ },
+ {
+ "data": {
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+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 9\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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KeqS6XNjv167QV09eNw6XBZLgCDogCcIOJEHYgSQIO5AEYQeSIOxAEoQdSOL/AalATNRYfyvmAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 5\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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PqX1wIttTJM1X701FvVLS4tr9xZIe7mIvv6RXpvGummZcXX7tuj79eUR0/EvSpRr+RP7Hkv6qGz1U9PXrkn5Q+3q2271JekDDb+v2afgd0VWSTpC0WtKm2u3UHurtXknPSFqv4WBN71Jv79Hwn4brJa2rfV3a7deu0FdHXjcOlwWS4Ag6IAnCDiRB2IEkCDuQBGEHkiDsQBKEHUji/wDkMGWeo8W1dAAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "label: 9\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in range(10):\n",
+ " plt.imshow(test_samples[i])\n",
+ " plt.show()\n",
+ " print(\"label:\", test_labels[i])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**3. Daten normieren**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Werte zwischen 0 und 1. Nicht notwendig aber verbessert das Training signifikant.\n",
+ "train_samples = tf.keras.utils.normalize(train_samples, axis=1)\n",
+ "test_samples = tf.keras.utils.normalize(test_samples, axis=1)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**4. Netzwerk erstellen**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from tensorflow.keras.models import Sequential\n",
+ "from tensorflow.keras.layers import Activation, Dense, Flatten, Conv2D, MaxPool2D, Dropout, InputLayer\n",
+ "from tensorflow.keras.metrics import Accuracy\n",
+ "\n",
+ "from tensorflow import keras\n",
+ "from tensorflow.keras import layers"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**2 Modelle zur Auswahl:**\\\n",
+ "Nur einen der nächsten zwei Codeblöcke ausführen!"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Nr. 1\n",
+ "model = Sequential([\n",
+ " Flatten(),\n",
+ " Dense(units=128, activation='relu'),\n",
+ " Dense(units=10, activation='softmax')\n",
+ "])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 188,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Nr. 2\n",
+ "model = Sequential([\n",
+ " Flatten(),\n",
+ " Dense(units=32, activation='relu'),\n",
+ " Dense(units=32, activation='relu'),\n",
+ " Dropout(0.2),\n",
+ " Dense(units=64, activation='relu'),\n",
+ " Dense(units=64, activation='relu'),\n",
+ " Dropout(0.2),\n",
+ " Dense(units=128, activation='relu'),\n",
+ " Dense(units=128, activation='relu'), \n",
+ " Dropout(0.2),\n",
+ " Dense(units=10, activation='softmax')\n",
+ "])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model.compile(optimizer='adam',\n",
+ " loss='sparse_categorical_crossentropy',\n",
+ " metrics=['accuracy'])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**5. Nezwerk trainieren**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/60\n",
+ "450/450 [==============================] - 1s 1ms/step - loss: 0.4590 - accuracy: 0.8815 - val_loss: 0.2153 - val_accuracy: 0.9403\n",
+ "Epoch 2/60\n",
+ "450/450 [==============================] - 0s 1ms/step - loss: 0.2210 - accuracy: 0.9359 - val_loss: 0.1682 - val_accuracy: 0.9517\n",
+ "Epoch 3/60\n",
+ "450/450 [==============================] - 0s 968us/step - loss: 0.1686 - accuracy: 0.9510 - val_loss: 0.1383 - val_accuracy: 0.9608\n",
+ "Epoch 4/60\n",
+ "450/450 [==============================] - 0s 982us/step - loss: 0.1338 - accuracy: 0.9614 - val_loss: 0.1264 - val_accuracy: 0.9615\n",
+ "Epoch 5/60\n",
+ "450/450 [==============================] - 0s 926us/step - loss: 0.1102 - accuracy: 0.9686 - val_loss: 0.1059 - val_accuracy: 0.9690\n",
+ "Epoch 6/60\n",
+ "450/450 [==============================] - 0s 939us/step - loss: 0.0921 - accuracy: 0.9733 - val_loss: 0.1013 - val_accuracy: 0.9687\n",
+ "Epoch 7/60\n",
+ "450/450 [==============================] - 0s 895us/step - loss: 0.0782 - accuracy: 0.9779 - val_loss: 0.0917 - val_accuracy: 0.9730\n",
+ "Epoch 8/60\n",
+ "450/450 [==============================] - 0s 908us/step - loss: 0.0676 - accuracy: 0.9807 - val_loss: 0.0916 - val_accuracy: 0.9723\n",
+ "Epoch 9/60\n",
+ "450/450 [==============================] - 0s 888us/step - loss: 0.0581 - accuracy: 0.9836 - val_loss: 0.0872 - val_accuracy: 0.9735\n",
+ "Epoch 10/60\n",
+ "450/450 [==============================] - 0s 887us/step - loss: 0.0506 - accuracy: 0.9856 - val_loss: 0.0856 - val_accuracy: 0.9747\n",
+ "Epoch 11/60\n",
+ "450/450 [==============================] - 0s 907us/step - loss: 0.0439 - accuracy: 0.9882 - val_loss: 0.0880 - val_accuracy: 0.9747\n",
+ "Epoch 12/60\n",
+ "450/450 [==============================] - 0s 894us/step - loss: 0.0389 - accuracy: 0.9897 - val_loss: 0.0885 - val_accuracy: 0.9742\n",
+ "Epoch 13/60\n",
+ "450/450 [==============================] - 0s 904us/step - loss: 0.0335 - accuracy: 0.9918 - val_loss: 0.0821 - val_accuracy: 0.9768\n",
+ "Epoch 14/60\n",
+ "450/450 [==============================] - 0s 910us/step - loss: 0.0292 - accuracy: 0.9924 - val_loss: 0.0813 - val_accuracy: 0.9768\n",
+ "Epoch 15/60\n",
+ "450/450 [==============================] - 0s 1ms/step - loss: 0.0259 - accuracy: 0.9938 - val_loss: 0.0836 - val_accuracy: 0.9770\n",
+ "Epoch 16/60\n",
+ "450/450 [==============================] - 0s 950us/step - loss: 0.0222 - accuracy: 0.9951 - val_loss: 0.0845 - val_accuracy: 0.9762\n",
+ "Epoch 17/60\n",
+ "450/450 [==============================] - 0s 936us/step - loss: 0.0192 - accuracy: 0.9961 - val_loss: 0.0870 - val_accuracy: 0.9760\n",
+ "Epoch 18/60\n",
+ "450/450 [==============================] - 0s 912us/step - loss: 0.0169 - accuracy: 0.9969 - val_loss: 0.0846 - val_accuracy: 0.9762\n",
+ "Epoch 19/60\n",
+ "450/450 [==============================] - 0s 895us/step - loss: 0.0144 - accuracy: 0.9971 - val_loss: 0.0825 - val_accuracy: 0.9773\n",
+ "Epoch 20/60\n",
+ "450/450 [==============================] - 0s 916us/step - loss: 0.0127 - accuracy: 0.9979 - val_loss: 0.0854 - val_accuracy: 0.9780\n",
+ "Epoch 21/60\n",
+ "450/450 [==============================] - 0s 1ms/step - loss: 0.0108 - accuracy: 0.9985 - val_loss: 0.0866 - val_accuracy: 0.9772\n",
+ "Epoch 22/60\n",
+ "450/450 [==============================] - 0s 898us/step - loss: 0.0092 - accuracy: 0.9989 - val_loss: 0.0873 - val_accuracy: 0.9773\n",
+ "Epoch 23/60\n",
+ "450/450 [==============================] - 0s 908us/step - loss: 0.0079 - accuracy: 0.9991 - val_loss: 0.0895 - val_accuracy: 0.9782\n",
+ "Epoch 24/60\n",
+ "450/450 [==============================] - 0s 898us/step - loss: 0.0068 - accuracy: 0.9995 - val_loss: 0.0906 - val_accuracy: 0.9777\n",
+ "Epoch 25/60\n",
+ "450/450 [==============================] - 0s 1ms/step - loss: 0.0055 - accuracy: 0.9998 - val_loss: 0.0904 - val_accuracy: 0.9773\n",
+ "Epoch 26/60\n",
+ "450/450 [==============================] - 0s 909us/step - loss: 0.0049 - accuracy: 0.9998 - val_loss: 0.0930 - val_accuracy: 0.9777\n",
+ "Epoch 27/60\n",
+ "450/450 [==============================] - 0s 945us/step - loss: 0.0044 - accuracy: 0.9998 - val_loss: 0.0954 - val_accuracy: 0.9775\n",
+ "Epoch 28/60\n",
+ "450/450 [==============================] - 0s 999us/step - loss: 0.0036 - accuracy: 0.9998 - val_loss: 0.0984 - val_accuracy: 0.9760\n",
+ "Epoch 29/60\n",
+ "450/450 [==============================] - 0s 892us/step - loss: 0.0032 - accuracy: 0.9999 - val_loss: 0.1013 - val_accuracy: 0.9767\n",
+ "Epoch 30/60\n",
+ "450/450 [==============================] - 0s 926us/step - loss: 0.0027 - accuracy: 0.9999 - val_loss: 0.1063 - val_accuracy: 0.9765\n",
+ "Epoch 31/60\n",
+ "450/450 [==============================] - 0s 893us/step - loss: 0.0023 - accuracy: 1.0000 - val_loss: 0.1021 - val_accuracy: 0.9773\n",
+ "Epoch 32/60\n",
+ "450/450 [==============================] - 0s 913us/step - loss: 0.0020 - accuracy: 1.0000 - val_loss: 0.1008 - val_accuracy: 0.9777\n",
+ "Epoch 33/60\n",
+ "450/450 [==============================] - 0s 946us/step - loss: 0.0015 - accuracy: 1.0000 - val_loss: 0.1011 - val_accuracy: 0.9787\n",
+ "Epoch 34/60\n",
+ "450/450 [==============================] - 0s 998us/step - loss: 0.0013 - accuracy: 1.0000 - val_loss: 0.1052 - val_accuracy: 0.9783\n",
+ "Epoch 35/60\n",
+ "450/450 [==============================] - 0s 901us/step - loss: 0.0013 - accuracy: 1.0000 - val_loss: 0.1148 - val_accuracy: 0.9770\n",
+ "Epoch 36/60\n",
+ "450/450 [==============================] - 0s 894us/step - loss: 0.0057 - accuracy: 0.9987 - val_loss: 0.1146 - val_accuracy: 0.9755\n",
+ "Epoch 37/60\n",
+ "450/450 [==============================] - 0s 912us/step - loss: 0.0015 - accuracy: 1.0000 - val_loss: 0.1128 - val_accuracy: 0.9773\n",
+ "Epoch 38/60\n",
+ "450/450 [==============================] - 0s 903us/step - loss: 7.4930e-04 - accuracy: 1.0000 - val_loss: 0.1107 - val_accuracy: 0.9785\n",
+ "Epoch 39/60\n",
+ "450/450 [==============================] - 0s 902us/step - loss: 5.8269e-04 - accuracy: 1.0000 - val_loss: 0.1125 - val_accuracy: 0.9782\n",
+ "Epoch 40/60\n",
+ "450/450 [==============================] - 0s 897us/step - loss: 5.2227e-04 - accuracy: 1.0000 - val_loss: 0.1114 - val_accuracy: 0.9783\n",
+ "Epoch 41/60\n",
+ "450/450 [==============================] - 0s 903us/step - loss: 4.6856e-04 - accuracy: 1.0000 - val_loss: 0.1134 - val_accuracy: 0.9780\n",
+ "Epoch 42/60\n",
+ "450/450 [==============================] - 0s 907us/step - loss: 4.3489e-04 - accuracy: 1.0000 - val_loss: 0.1144 - val_accuracy: 0.9790\n",
+ "Epoch 43/60\n",
+ "450/450 [==============================] - 0s 896us/step - loss: 3.8939e-04 - accuracy: 1.0000 - val_loss: 0.1143 - val_accuracy: 0.9793\n",
+ "Epoch 44/60\n",
+ "450/450 [==============================] - 0s 1ms/step - loss: 3.6694e-04 - accuracy: 1.0000 - val_loss: 0.1201 - val_accuracy: 0.9777\n",
+ "Epoch 45/60\n",
+ "450/450 [==============================] - 0s 944us/step - loss: 0.0038 - accuracy: 0.9987 - val_loss: 0.1386 - val_accuracy: 0.9758\n",
+ "Epoch 46/60\n",
+ "450/450 [==============================] - 0s 983us/step - loss: 0.0029 - accuracy: 0.9993 - val_loss: 0.1239 - val_accuracy: 0.9777\n",
+ "Epoch 47/60\n",
+ "450/450 [==============================] - 0s 910us/step - loss: 4.7336e-04 - accuracy: 1.0000 - val_loss: 0.1226 - val_accuracy: 0.9780\n",
+ "Epoch 48/60\n",
+ "450/450 [==============================] - 0s 894us/step - loss: 3.0175e-04 - accuracy: 1.0000 - val_loss: 0.1234 - val_accuracy: 0.9778\n",
+ "Epoch 49/60\n",
+ "450/450 [==============================] - 0s 918us/step - loss: 2.6110e-04 - accuracy: 1.0000 - val_loss: 0.1227 - val_accuracy: 0.9780\n",
+ "Epoch 50/60\n",
+ "450/450 [==============================] - 0s 1ms/step - loss: 2.3147e-04 - accuracy: 1.0000 - val_loss: 0.1238 - val_accuracy: 0.9782\n",
+ "Epoch 51/60\n",
+ "450/450 [==============================] - 0s 915us/step - loss: 2.0694e-04 - accuracy: 1.0000 - val_loss: 0.1231 - val_accuracy: 0.9780\n",
+ "Epoch 52/60\n",
+ "450/450 [==============================] - 0s 934us/step - loss: 1.9166e-04 - accuracy: 1.0000 - val_loss: 0.1242 - val_accuracy: 0.9785\n",
+ "Epoch 53/60\n",
+ "450/450 [==============================] - 0s 971us/step - loss: 1.7772e-04 - accuracy: 1.0000 - val_loss: 0.1260 - val_accuracy: 0.9785\n",
+ "Epoch 54/60\n",
+ "450/450 [==============================] - 0s 923us/step - loss: 1.6103e-04 - accuracy: 1.0000 - val_loss: 0.1261 - val_accuracy: 0.9788\n",
+ "Epoch 55/60\n",
+ "450/450 [==============================] - 0s 970us/step - loss: 1.4632e-04 - accuracy: 1.0000 - val_loss: 0.1279 - val_accuracy: 0.9773\n",
+ "Epoch 56/60\n",
+ "450/450 [==============================] - 0s 907us/step - loss: 1.3476e-04 - accuracy: 1.0000 - val_loss: 0.1269 - val_accuracy: 0.9787\n",
+ "Epoch 57/60\n",
+ "450/450 [==============================] - 0s 942us/step - loss: 1.2115e-04 - accuracy: 1.0000 - val_loss: 0.1292 - val_accuracy: 0.9785\n",
+ "Epoch 58/60\n",
+ "450/450 [==============================] - 0s 974us/step - loss: 1.1556e-04 - accuracy: 1.0000 - val_loss: 0.1302 - val_accuracy: 0.9785\n",
+ "Epoch 59/60\n",
+ "450/450 [==============================] - 0s 957us/step - loss: 1.0495e-04 - accuracy: 1.0000 - val_loss: 0.1325 - val_accuracy: 0.9787\n",
+ "Epoch 60/60\n",
+ "450/450 [==============================] - 0s 893us/step - loss: 3.5047e-04 - accuracy: 0.9999 - val_loss: 0.1745 - val_accuracy: 0.9708\n"
+ ]
+ }
+ ],
+ "source": [
+ "history = model.fit(train_samples, train_labels, epochs=60, validation_split=0.1, batch_size=120, shuffle=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Kurve der Treffer-Genauigkeit des Modells mit Trainings- und Testdaten\n",
+ "def plot_accuracy(name, ylim=[0,1.01]):\n",
+ " plt.plot(history.history['accuracy'])\n",
+ " plt.plot(history.history['val_accuracy'])\n",
+ " plt.title('model accuracy')\n",
+ " plt.ylabel('accuracy')\n",
+ " plt.xlabel('epoch')\n",
+ " plt.ylim(ylim[0], ylim[1])\n",
+ " plt.legend(['training', 'validation'], loc='upper left')\n",
+ " plt.savefig(name)\n",
+ " plt.show()\n",
+ "\n",
+ "#plot_accuracy(\"accuracy_graph_1.png\", ylim=[0.84,1.01])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Kurve der Loss-Function des Modells mit Trainings- und Testdaten\n",
+ "def plot_loss(name, ylim=[-0.5,1]):\n",
+ " plt.plot(history.history['loss'])\n",
+ " plt.plot(history.history['val_loss'])\n",
+ " plt.title('model loss')\n",
+ " plt.ylabel('loss')\n",
+ " plt.xlabel('epoch')\n",
+ " plt.ylim(ylim[0],ylim[1])\n",
+ " plt.legend(['training', 'validation'], loc='upper left')\n",
+ " plt.savefig(name)\n",
+ " plt.show()\n",
+ " \n",
+ "#plot_loss(\"loss_graph_1.png\", ylim=[-0.05,0.6])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**6. Netzwerk Vorhersagen treffen lassen**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "predictions = model.predict(x=test_samples)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "AttributeError",
+ "evalue": "'numpy.ndarray' object has no attribute 'history'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_14208/317203792.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpredictions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'loss'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpredictions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'val_loss'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'model loss'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'loss'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'epoch'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mAttributeError\u001b[0m: 'numpy.ndarray' object has no attribute 'history'"
+ ]
+ }
+ ],
+ "source": [
+ "plt.plot(predictions.history['loss'])\n",
+ "plt.plot(predictions.history['val_loss'])\n",
+ "plt.title('model loss')\n",
+ "plt.ylabel('loss')\n",
+ "plt.xlabel('epoch')\n",
+ "plt.legend(['training', 'validation'], loc='upper left')\n",
+ "plt.show()\n",
+ "plt.savefig(\"loss_graph.png\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[4.7115287e-19 6.6027249e-21 3.6752018e-17 3.7985127e-12 6.4836547e-25\n",
+ " 4.6407512e-18 8.2858293e-32 1.0000000e+00 7.3572382e-17 5.7262231e-15]\n",
+ "[5.78412312e-20 2.60328692e-09 1.00000000e+00 1.19304078e-09\n",
+ " 1.44316059e-32 1.13461482e-15 1.43499990e-10 1.31882780e-33\n",
+ " 1.19545945e-17 1.69394214e-36]\n",
+ "[3.5091082e-18 1.0000000e+00 4.3538927e-13 3.4633446e-12 2.2963979e-13\n",
+ " 9.3111735e-10 4.4089979e-13 1.2600960e-11 1.6212839e-09 1.5773244e-16]\n",
+ "[1.0000000e+00 7.3825327e-19 1.3196315e-09 2.4491219e-14 1.0890223e-17\n",
+ " 3.3445805e-13 2.8032623e-09 1.8882479e-10 2.3570701e-20 2.8277025e-12]\n",
+ "[2.0007399e-20 3.1774664e-26 5.7589508e-15 1.0857578e-17 1.0000000e+00\n",
+ " 1.0640392e-16 1.5442766e-14 2.4543874e-14 6.9562499e-14 1.2331101e-11]\n",
+ "[1.4868542e-14 9.9999845e-01 4.8710408e-15 5.9029076e-10 1.6623203e-13\n",
+ " 6.8007583e-12 1.8445538e-13 1.5770592e-06 7.4998328e-09 4.1260267e-15]\n",
+ "[1.0581081e-26 2.1763533e-19 3.8621892e-23 2.8958758e-19 1.0000000e+00\n",
+ " 4.7243730e-14 9.4405522e-22 4.6175215e-14 5.3400114e-12 2.2067634e-11]\n",
+ "[1.2229367e-21 9.0453565e-12 1.9406983e-12 1.0981031e-06 3.9109448e-04\n",
+ " 1.3525830e-05 3.1655078e-19 4.9735871e-12 4.4794866e-11 9.9959427e-01]\n",
+ "[3.0495090e-25 1.1304711e-22 5.0814064e-20 3.9721402e-17 1.2645017e-10\n",
+ " 9.9999928e-01 7.4671317e-07 1.9400740e-16 3.5091415e-13 2.8413210e-22]\n",
+ "[1.1550115e-19 3.2607457e-19 9.7880003e-19 2.7465705e-09 7.4917555e-02\n",
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+ " 4.4233462e-15 5.8491668e-17 5.6928646e-12 1.8146149e-18 2.5925952e-23]\n",
+ "[2.7984956e-25 1.3922065e-24 5.5827017e-23 8.3300777e-23 1.0000000e+00\n",
+ " 3.6173518e-18 5.0014390e-23 6.6439471e-17 1.9865771e-22 4.3849554e-16]\n",
+ "[4.1339103e-22 1.2378135e-18 5.1980533e-16 1.0443646e-12 5.7476322e-05\n",
+ " 6.3565615e-14 6.1992016e-23 5.6651583e-11 2.4535098e-08 9.9994254e-01]\n",
+ "[8.7564818e-26 3.4286760e-22 4.5258460e-21 8.9645554e-24 1.0000000e+00\n",
+ " 1.7851049e-19 1.0311674e-18 2.4334715e-18 8.8969438e-21 5.6338774e-15]\n",
+ "[1.68398119e-13 4.78824825e-13 1.45359617e-03 9.98472989e-01\n",
+ " 4.80565999e-13 1.01345815e-11 3.99202266e-15 6.79161312e-05\n",
+ " 5.50203276e-06 5.45207580e-16]\n",
+ "[2.2806776e-11 6.3272870e-15 7.8205197e-08 3.2370891e-16 8.8064850e-04\n",
+ " 7.6706891e-16 9.9911922e-01 7.0082029e-10 2.4663095e-12 4.6842605e-16]\n",
+ "[4.0171220e-19 8.3830648e-14 1.0359085e-14 9.7787160e-12 1.0000000e+00\n",
+ " 1.0219156e-15 2.8903828e-17 4.4156653e-12 4.4545395e-14 1.3664310e-08]\n",
+ "[1.0212251e-24 1.0000000e+00 1.5772501e-11 9.0511254e-10 9.9600649e-12\n",
+ " 4.8922677e-19 9.1492588e-22 8.6091987e-09 4.2614592e-15 1.4377247e-19]\n",
+ "[4.7764388e-20 6.7084716e-20 5.4610511e-19 2.8365249e-15 6.5533185e-13\n",
+ " 1.7832623e-17 1.6710946e-27 1.0000000e+00 4.2086071e-19 1.7126547e-10]\n",
+ "[4.0233729e-16 8.5433781e-17 2.0043930e-01 7.9941404e-01 7.1165919e-24\n",
+ " 2.9002094e-13 1.7467906e-26 1.4669941e-04 1.1566089e-13 2.0969597e-19]\n",
+ "[3.4401370e-16 1.8736629e-15 1.2315992e-14 1.6171343e-15 2.5286216e-13\n",
+ " 2.2894059e-16 1.0000000e+00 8.1045967e-20 1.6801609e-24 4.6084638e-27]\n",
+ "[1.6909900e-12 1.7811113e-09 1.3101616e-09 1.1310119e-04 5.2807498e-12\n",
+ " 1.9176384e-04 9.9969506e-01 5.3564562e-12 1.5949571e-07 1.5246960e-15]\n",
+ "[1.0000000e+00 8.2104788e-23 2.7412805e-18 7.0776323e-23 5.5392657e-35\n",
+ " 1.3349810e-16 1.1070126e-16 2.1049290e-15 1.2681366e-23 5.9933224e-22]\n",
+ "[1.0382959e-18 1.0000000e+00 2.2117933e-16 4.4936131e-11 2.9177775e-18\n",
+ " 5.1706386e-18 1.3166219e-13 1.2624880e-10 2.2798903e-11 5.8757373e-16]\n",
+ "[3.15286521e-15 1.32237082e-12 1.00000000e+00 2.07882461e-10\n",
+ " 6.30994003e-35 1.58324251e-18 1.28103160e-22 6.38122333e-10\n",
+ " 7.61601338e-10 1.23756244e-20]\n",
+ "[2.8807655e-22 2.3691649e-11 3.1045765e-15 1.0000000e+00 3.1361693e-29\n",
+ " 3.1574388e-15 8.4411532e-35 5.9107144e-17 4.8616227e-13 1.7591309e-14]\n",
+ "[9.1886750e-30 2.4237815e-25 7.7064650e-25 4.4683772e-21 1.0000000e+00\n",
+ " 3.3274778e-20 2.4043587e-26 6.3506236e-22 2.3904936e-19 2.9105700e-13]\n",
+ "[3.79804577e-25 6.54636064e-24 1.08124596e-29 3.05631010e-19\n",
+ " 4.82683635e-24 1.00000000e+00 6.29475861e-31 5.90672323e-25\n",
+ " 3.27111220e-17 1.47230717e-20]\n",
+ "[1.2956854e-17 4.8138595e-22 5.3566336e-14 8.4200607e-19 1.6514557e-12\n",
+ " 2.0039739e-17 1.0000000e+00 2.5867639e-25 8.7408361e-17 1.0985310e-25]\n",
+ "[2.0045575e-22 3.7204004e-15 1.0264051e-14 4.8247722e-10 1.2748864e-26\n",
+ " 5.8468035e-24 8.9586115e-38 1.0000000e+00 1.1843118e-13 2.0474716e-16]\n",
+ "[7.4492821e-15 2.3111046e-17 2.3835135e-12 5.7219930e-13 6.6593003e-24\n",
+ " 1.3061213e-10 1.5169797e-15 3.5105596e-15 1.0000000e+00 3.3524789e-18]\n",
+ "[3.5637844e-18 6.4205125e-21 1.0173780e-12 1.8395625e-11 1.9435384e-03\n",
+ " 1.1707788e-15 1.1160393e-17 3.2317213e-09 2.0265323e-14 9.9805647e-01]\n",
+ "[9.99838114e-01 1.21408736e-19 9.44645664e-12 1.79564480e-14\n",
+ " 3.22663966e-17 1.18959406e-07 2.02047363e-06 5.88736934e-17\n",
+ " 1.59660340e-04 4.13060672e-16]\n",
+ "[4.52438996e-16 9.99999881e-01 1.18957377e-08 4.55684145e-12\n",
+ " 6.70705146e-16 1.47894474e-11 4.33669776e-08 6.63966885e-12\n",
+ " 1.08719306e-07 1.76991029e-18]\n",
+ "[5.0468228e-23 4.8725141e-16 1.0000000e+00 7.9211031e-15 6.2830868e-35\n",
+ " 4.0031818e-21 6.7921683e-25 9.5704559e-14 4.8889751e-15 7.7367808e-31]\n",
+ "[5.59315256e-21 7.48526268e-14 4.81229314e-13 1.00000000e+00\n",
+ " 3.91209341e-34 3.35352683e-11 1.00882445e-29 8.33726483e-15\n",
+ " 3.39722829e-18 3.60270297e-16]\n",
+ "[1.5565064e-30 2.3266762e-22 6.0600954e-26 1.4221955e-18 1.0000000e+00\n",
+ " 8.6799241e-26 8.0795910e-28 1.9899962e-16 1.8115666e-16 2.1508253e-12]\n",
+ "[1.0935708e-20 1.6787251e-25 9.8444881e-21 2.4210696e-21 1.6658505e-19\n",
+ " 1.0000000e+00 1.8205848e-14 1.2962612e-21 3.4100767e-10 1.1112063e-22]\n",
+ "[6.3157502e-18 6.7596841e-23 1.8140492e-16 2.7003420e-21 5.4438246e-13\n",
+ " 8.7765000e-14 1.0000000e+00 5.3926037e-22 3.0787827e-23 2.5284840e-30]\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in predictions:\n",
+ " print(i)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rounded_predictions = np.argmax(predictions, axis=-1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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+ "5\n",
+ "6\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in rounded_predictions:\n",
+ " print(i)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.9689"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Treffergenauigkeit anzeigen lassen:\n",
+ "accuracy = Accuracy()\n",
+ "accuracy.update_state(y_true=test_labels, y_pred=rounded_predictions)\n",
+ "accuracy.result().numpy()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**7. Erstellung einer Confusion Matrix (Datenauswertung)**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#%matplotlib inline\n",
+ "from sklearn.metrics import confusion_matrix\n",
+ "# import itertools"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cm = confusion_matrix(y_true=test_labels, y_pred=rounded_predictions)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def plot_confusion_matrix(cm, classes,\n",
+ " normalize=False,\n",
+ " title='Confusion Matrix',\n",
+ " cmap=plt.cm.Blues):\n",
+ " \"\"\"\n",
+ " Diese Funktion printet und plottet die Confusion Matrix\n",
+ " \"\"\"\n",
+ " plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
+ " plt.title(title)\n",
+ " plt.colorbar()\n",
+ " tick_marks = np.arange(len(classes))\n",
+ " plt.xticks(tick_marks, classes, rotation=45)\n",
+ " plt.yticks(tick_marks, classes)\n",
+ " \n",
+ " if normalize:\n",
+ " cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
+ " print(\"Normierte Confusion Matrix\")\n",
+ " else:\n",
+ " print(\"Confusion Matrix ohne Normierung\")\n",
+ " \n",
+ " print(cm)\n",
+ " \n",
+ " thresh = cm.max() / 2\n",
+ " for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
+ " plt.text(j, i, cm[i, j],\n",
+ " horizontalalignment=\"center\",\n",
+ " color=\"white\" if cm[i, j] > thresh else \"black\")\n",
+ " \n",
+ " plt.tight_layout()\n",
+ " plt.ylabel('True label')\n",
+ " plt.xlabel('Predicted label')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Confusion Matrix ohne Normierung\n",
+ "[[ 966 0 1 0 3 1 5 1 3 0]\n",
+ " [ 0 1121 5 2 0 0 3 1 3 0]\n",
+ " [ 6 3 993 8 5 1 3 10 3 0]\n",
+ " [ 0 3 1 991 2 2 2 4 5 0]\n",
+ " [ 1 1 2 1 969 0 5 1 0 2]\n",
+ " [ 1 0 1 14 0 862 8 2 2 2]\n",
+ " [ 2 2 3 2 8 4 937 0 0 0]\n",
+ " [ 0 5 8 6 3 1 0 1001 1 3]\n",
+ " [ 3 3 10 14 11 6 5 6 914 2]\n",
+ " [ 2 5 1 18 27 5 0 9 7 935]]\n"
+ ]
+ },
+ {
+ "ename": "NameError",
+ "evalue": "name 'itertools' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_14208/2921029923.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mcm_plot_labels\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mplot_confusion_matrix\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcm\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcm\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mclasses\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcm_plot_labels\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtitle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'Confusion Matrix'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnormalize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+ "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_14208/2585180590.py\u001b[0m in \u001b[0;36mplot_confusion_matrix\u001b[1;34m(cm, classes, normalize, title, cmap)\u001b[0m\n\u001b[0;32m 22\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 23\u001b[0m \u001b[0mthresh\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m/\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 24\u001b[1;33m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mj\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mitertools\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mproduct\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 25\u001b[0m plt.text(j, i, cm[i, j],\n\u001b[0;32m 26\u001b[0m \u001b[0mhorizontalalignment\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"center\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mNameError\u001b[0m: name 'itertools' is not defined"
+ ]
+ },
+ {
+ "data": {
+ "image/png": "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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 2 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "cm_plot_labels = range(10)\n",
+ "plot_confusion_matrix(cm=cm, classes=cm_plot_labels, title='Confusion Matrix', normalize=False)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**8. Netzwerke Speichern und Laden**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**1) Mit der model.save() Funktion**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Die save Funktion speichert:\n",
+ " - Die Struktur des Modells\n",
+ " - Die Gewichte des Modells\n",
+ " - Die Trainings Konfigurationen (loss, optimizer)\n",
+ " - Den Status des Optimizers, dadurch kann das Training direkt am Abbruchspunkt fortgesetzt werden"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 123,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model.save('digit_recognizer_model.h5')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Nun kann das Modell inklusive Gewichten unter einem anderen Namen neu geladen werden."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 125,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from tensorflow.keras.models import load_model\n",
+ "model1 = load_model('digit_recognizer_model.h5')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**2) Mit der model.to_json() Funktion**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Speichert nur die Modell Architektur, aber keine Gewichte."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 130,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "json_string = model.to_json()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Nun kann ein neues Modell mit der selben Architektur erstellt werden."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 131,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from tensorflow.keras.models import model_from_json\n",
+ "model2 = model_from_json(json_string)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 132,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Model: \"sequential_6\"\n",
+ "_________________________________________________________________\n",
+ "Layer (type) Output Shape Param # \n",
+ "=================================================================\n",
+ "flatten_6 (Flatten) (None, 784) 0 \n",
+ "_________________________________________________________________\n",
+ "dense_11 (Dense) (None, 128) 100480 \n",
+ "_________________________________________________________________\n",
+ "dense_12 (Dense) (None, 10) 1290 \n",
+ "=================================================================\n",
+ "Total params: 101,770\n",
+ "Trainable params: 101,770\n",
+ "Non-trainable params: 0\n",
+ "_________________________________________________________________\n"
+ ]
+ }
+ ],
+ "source": [
+ "model2.summary()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**3) Mit der model.save_weights() Funktion**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Speichert nur die Gewichte von des Modells."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model.save_weights('my_weights.h5')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Das Netzwerk muss neu erstellt werden."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model3 = Sequential([\n",
+ " Flatten(),\n",
+ " Dense(units=128, activation='relu'),\n",
+ " Dense(units=10, activation='softmax')\n",
+ "])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Dann können die alten Gewichte geladen werden."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model3.load_weights('my_weights.h5')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**9. Verwendung der Convolutional Layer:**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Für die Verwendung der **Conv2D-Layer** müssen die Trainings- und Test-Daten in die Form **(28,28,1)** gebracht werden. Die dritte Dimension stellt dabei die Farbwerte dar. Da der MNIST Datensatz mit Schwarzwerten auskommt, wird hier nur ein Wert benötigt. Bei Bildern der Größe 28x28 mit RGB Farbwerten müssten die Daten in die Form (28,28,3) gebracht werden."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# OPTIONAL: MNIST Daten neu laden\n",
+ "(train_samples, train_labels), (test_samples, test_labels) = mnist.load_data()\n",
+ "train_samples = tf.keras.utils.normalize(train_samples, axis=1)\n",
+ "test_samples = tf.keras.utils.normalize(test_samples, axis=1)\n",
+ "\n",
+ "# Input_shape festlegen\n",
+ "input_shape = (28, 28, 1)\n",
+ "\n",
+ "# Daten in dreidimensionale Form bringen\n",
+ "train_samples = train_samples.reshape(len(train_samples), input_shape[0], input_shape[1], input_shape[2])\n",
+ "test_samples = test_samples.reshape(len(test_samples), input_shape[0], input_shape[1], input_shape[2])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(60000, 28, 28, 1)\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(train_samples.shape)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model = Sequential([\n",
+ " Conv2D(filters=32, kernel_size=(3,3), activation='relu', input_shape=(28,28,1)), # stride\n",
+ " Conv2D(filters=64, kernel_size=(3,3), activation='relu'),\n",
+ " MaxPool2D(pool_size=(2,2)),\n",
+ " Dropout(0.25),\n",
+ " Flatten(),\n",
+ " Dense(units=128, activation='relu'), # Droput, weniger neuronen\n",
+ " Dropout(0.5),\n",
+ " Dense(units=10, activation='softmax')\n",
+ "])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Model: \"sequential\"\n",
+ "_________________________________________________________________\n",
+ "Layer (type) Output Shape Param # \n",
+ "=================================================================\n",
+ "conv2d (Conv2D) (None, 26, 26, 32) 320 \n",
+ "_________________________________________________________________\n",
+ "conv2d_1 (Conv2D) (None, 24, 24, 64) 18496 \n",
+ "_________________________________________________________________\n",
+ "max_pooling2d (MaxPooling2D) (None, 12, 12, 64) 0 \n",
+ "_________________________________________________________________\n",
+ "dropout (Dropout) (None, 12, 12, 64) 0 \n",
+ "_________________________________________________________________\n",
+ "flatten (Flatten) (None, 9216) 0 \n",
+ "_________________________________________________________________\n",
+ "dense (Dense) (None, 128) 1179776 \n",
+ "_________________________________________________________________\n",
+ "dropout_1 (Dropout) (None, 128) 0 \n",
+ "_________________________________________________________________\n",
+ "dense_1 (Dense) (None, 10) 1290 \n",
+ "=================================================================\n",
+ "Total params: 1,199,882\n",
+ "Trainable params: 1,199,882\n",
+ "Non-trainable params: 0\n",
+ "_________________________________________________________________\n"
+ ]
+ }
+ ],
+ "source": [
+ "model.summary()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#from keras.optimizers import Adadelta\n",
+ "\n",
+ "model.compile(optimizer=keras.optimizers.Adadelta(learning_rate=0.1),\n",
+ " loss='sparse_categorical_crossentropy',\n",
+ " metrics=['accuracy'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/20\n",
+ "469/469 [==============================] - 40s 84ms/step - loss: 0.7240 - accuracy: 0.7853 - val_loss: 0.2441 - val_accuracy: 0.9251\n",
+ "Epoch 2/20\n",
+ "469/469 [==============================] - 38s 80ms/step - loss: 0.3312 - accuracy: 0.9002 - val_loss: 0.1899 - val_accuracy: 0.9420\n",
+ "Epoch 3/20\n",
+ "469/469 [==============================] - 38s 80ms/step - loss: 0.2761 - accuracy: 0.9180 - val_loss: 0.1575 - val_accuracy: 0.9531\n",
+ "Epoch 4/20\n",
+ "469/469 [==============================] - 39s 84ms/step - loss: 0.2363 - accuracy: 0.9299 - val_loss: 0.1340 - val_accuracy: 0.9590\n",
+ "Epoch 5/20\n",
+ "469/469 [==============================] - 40s 86ms/step - loss: 0.2091 - accuracy: 0.9381 - val_loss: 0.1174 - val_accuracy: 0.9659\n",
+ "Epoch 6/20\n",
+ "469/469 [==============================] - 40s 85ms/step - loss: 0.1821 - accuracy: 0.9455 - val_loss: 0.1001 - val_accuracy: 0.9705\n",
+ "Epoch 7/20\n",
+ "469/469 [==============================] - 40s 84ms/step - loss: 0.1600 - accuracy: 0.9531 - val_loss: 0.0893 - val_accuracy: 0.9729\n",
+ "Epoch 8/20\n",
+ "469/469 [==============================] - 38s 82ms/step - loss: 0.1461 - accuracy: 0.9575 - val_loss: 0.0805 - val_accuracy: 0.9759\n",
+ "Epoch 9/20\n",
+ "469/469 [==============================] - 39s 84ms/step - loss: 0.1281 - accuracy: 0.9618 - val_loss: 0.0749 - val_accuracy: 0.9770\n",
+ "Epoch 10/20\n",
+ "469/469 [==============================] - 38s 82ms/step - loss: 0.1203 - accuracy: 0.9636 - val_loss: 0.0673 - val_accuracy: 0.9799\n",
+ "Epoch 11/20\n",
+ "469/469 [==============================] - 38s 81ms/step - loss: 0.1103 - accuracy: 0.9672 - val_loss: 0.0608 - val_accuracy: 0.9806\n",
+ "Epoch 12/20\n",
+ "469/469 [==============================] - 39s 84ms/step - loss: 0.1021 - accuracy: 0.9692 - val_loss: 0.0583 - val_accuracy: 0.9817\n",
+ "Epoch 13/20\n",
+ "469/469 [==============================] - 38s 81ms/step - loss: 0.0991 - accuracy: 0.9699 - val_loss: 0.0573 - val_accuracy: 0.9814\n",
+ "Epoch 14/20\n",
+ "469/469 [==============================] - 38s 81ms/step - loss: 0.0940 - accuracy: 0.9720 - val_loss: 0.0547 - val_accuracy: 0.9831\n",
+ "Epoch 15/20\n",
+ "469/469 [==============================] - 38s 81ms/step - loss: 0.0879 - accuracy: 0.9738 - val_loss: 0.0528 - val_accuracy: 0.9831\n",
+ "Epoch 16/20\n",
+ "469/469 [==============================] - 39s 82ms/step - loss: 0.0854 - accuracy: 0.9744 - val_loss: 0.0509 - val_accuracy: 0.9835\n",
+ "Epoch 17/20\n",
+ "469/469 [==============================] - 38s 80ms/step - loss: 0.0828 - accuracy: 0.9751 - val_loss: 0.0492 - val_accuracy: 0.9839\n",
+ "Epoch 18/20\n",
+ "469/469 [==============================] - 38s 82ms/step - loss: 0.0787 - accuracy: 0.9772 - val_loss: 0.0493 - val_accuracy: 0.9836\n",
+ "Epoch 19/20\n",
+ "469/469 [==============================] - 38s 81ms/step - loss: 0.0760 - accuracy: 0.9773 - val_loss: 0.0465 - val_accuracy: 0.9851\n",
+ "Epoch 20/20\n",
+ "469/469 [==============================] - 38s 82ms/step - loss: 0.0748 - accuracy: 0.9778 - val_loss: 0.0464 - val_accuracy: 0.9852\n"
+ ]
+ }
+ ],
+ "source": [
+ "history = model.fit(train_samples, train_labels, epochs=20, validation_data=(test_samples,test_labels), shuffle=True, batch_size=128)\n",
+ "model.save('digit_recognizer_model_conv.h5')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 69,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plot_accuracy(\"accuracy_graph_6.png\")\n",
+ "plot_loss(\"loss_graph_6.png\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/digit_recognizer/digit_recognizer.ipynb b/notebooks/digit_recognizer/digit_recognizer.ipynb
index de9cd472cb10776374680ecec3ea44fe2781ab0c..7dd59285b3c9ad3882b6f63d641366555c66b61a 100644
--- a/notebooks/digit_recognizer/digit_recognizer.ipynb
+++ b/notebooks/digit_recognizer/digit_recognizer.ipynb
@@ -482,13 +482,7 @@
"450/450 [==============================] - 0s 970us/step - loss: 1.4632e-04 - accuracy: 1.0000 - val_loss: 0.1279 - val_accuracy: 0.9773\n",
"Epoch 56/60\n",
"450/450 [==============================] - 0s 907us/step - loss: 1.3476e-04 - accuracy: 1.0000 - val_loss: 0.1269 - val_accuracy: 0.9787\n",
- "Epoch 57/60\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "Epoch 57/60\n",
"450/450 [==============================] - 0s 942us/step - loss: 1.2115e-04 - accuracy: 1.0000 - val_loss: 0.1292 - val_accuracy: 0.9785\n",
"Epoch 58/60\n",
"450/450 [==============================] - 0s 974us/step - loss: 1.1556e-04 - accuracy: 1.0000 - val_loss: 0.1302 - val_accuracy: 0.9785\n",
diff --git a/notebooks/spectral_classifier/find_spectrum.ipynb b/notebooks/spectral_classifier/find_spectrum.ipynb
index 884669335fc5e68737370e9562f945910b1cf17b..b576224a0db3a1a53335f3825adff8d7ed24256a 100644
--- a/notebooks/spectral_classifier/find_spectrum.ipynb
+++ b/notebooks/spectral_classifier/find_spectrum.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 55,
+ "execution_count": 62,
"id": "b1144fb9",
"metadata": {},
"outputs": [],
@@ -20,18 +20,18 @@
"\n",
"samples_per_class = 1000\n",
"\n",
- "search_number = 579"
+ "search_number = 454"
]
},
{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 63,
"id": "3917f5ac",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
diff --git a/notebooks/spectral_classifier_gold/.ipynb_checkpoints/download_fits_gold-checkpoint.ipynb b/notebooks/spectral_classifier_gold/.ipynb_checkpoints/download_fits_gold-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..52c6417eaeeaaa6f58e3137c86b46fc3e9d1c35c
--- /dev/null
+++ b/notebooks/spectral_classifier_gold/.ipynb_checkpoints/download_fits_gold-checkpoint.ipynb
@@ -0,0 +1,105 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import sys\n",
+ "import os\n",
+ "import subprocess\n",
+ "import astropy.io.fits as pyfits\n",
+ "\n",
+ "sdss_path = 'https://data.sdss.org/sas/dr16/sdss/spectro/redux/26/spectra/'\n",
+ "boss_path = 'https://data.sdss3.org/sas/dr12/boss/spectro/redux/v5_7_0/spectra/'\n",
+ "\n",
+ "from astroquery.sdss import SDSS\n",
+ "from astropy.coordinates import SkyCoord # High-level coordinates\n",
+ "from astropy.coordinates import ICRS\n",
+ "import astropy.units as u\n",
+ "import requests\n",
+ "\n",
+ "########## Input ##########\n",
+ "\n",
+ "target_directory = 'F:\\data\\spectral_fits_gold\\\\'\n",
+ "class_names = ['star','galaxy', 'QSO', 'AGN'] \n",
+ "\n",
+ "## Queries für star, galaxy, quasar und AGN\n",
+ "query1 = \"SELECT top 1100 plate, mjd, min(fiberid) as fiberid, class FROM SpecObj WHERE class = 'star' AND zWarning = 0 GROUP BY plate, mjd, class ORDER BY plate, mjd, class\"\n",
+ "query2 = \"SELECT top 1100 plate, mjd, min(fiberid) as fiberid, class FROM SpecObj WHERE class = 'galaxy' AND subClass != 'AGN' AND zWarning = 0 GROUP BY plate, mjd, class ORDER BY plate, mjd, class\"\n",
+ "query3 = \"SELECT top 1100 plate, mjd, min(fiberid) as fiberid, class FROM SpecObj WHERE class = 'QSO' AND subClass != 'AGN' AND zWarning = 0 GROUP BY plate, mjd, class ORDER BY plate, mjd, class\"\n",
+ "query4 = \"SELECT top 1100 plate, mjd, min(fiberid) as fiberid, class FROM SpecObj WHERE subClass = 'AGN' AND zWarning = 0 GROUP BY plate, mjd, class ORDER BY plate, mjd, class\"\n",
+ "\n",
+ "########## Program ##########\n",
+ "\n",
+ "queries = [query1, query2, query3, query4]\n",
+ "\n",
+ "for i in range(4):\n",
+ "\n",
+ " sdss = SDSS.query_sql(queries[i])\n",
+ "\n",
+ " speclist = open('speclist.txt', 'w')\n",
+ "\n",
+ " for plate, mjd, fiberid in zip(sdss['plate'],sdss['mjd'],sdss['fiberid']):\n",
+ "\n",
+ " speclist.write(\"%04d/spec-%04d-%d-%04d.fits \\n\" %(plate, plate, mjd, fiberid))\n",
+ "\n",
+ " speclist.close()\n",
+ "\n",
+ " with open('speclist.txt', 'r') as f:\n",
+ "\n",
+ " names = f.readlines()\n",
+ "\n",
+ " for item in names:\n",
+ "\n",
+ " name = item[:-2]\n",
+ " url = sdss_path + name\n",
+ " r = requests.get(url)\n",
+ "\n",
+ " target_file = target_directory + class_names[i] + '\\\\' + name[5:]\n",
+ "\n",
+ " with open(target_file,'wb') as f:\n",
+ "\n",
+ " f.write(r.content)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import requests\n",
+ "url = \"https://data.sdss.org/sas/dr16/eboss/spectro/redux/v5_13_0/platelist.fits\"\n",
+ "r = requests.get(url)\n",
+ "\n",
+ "with open(\"platelist.fits\",'wb') as f:\n",
+ " f.write(r.content)\n",
+ " \n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/spectral_classifier_gold/.ipynb_checkpoints/spectral_classifier_from_npy-checkpoint.ipynb b/notebooks/spectral_classifier_gold/.ipynb_checkpoints/spectral_classifier_from_npy-checkpoint.ipynb
index f07a9d7a0c3bac7891212164c052ab1417324ce5..bb214b7678de315ad434fa88a93f6d4751f6c6df 100644
--- a/notebooks/spectral_classifier_gold/.ipynb_checkpoints/spectral_classifier_from_npy-checkpoint.ipynb
+++ b/notebooks/spectral_classifier_gold/.ipynb_checkpoints/spectral_classifier_from_npy-checkpoint.ipynb
@@ -437,168 +437,424 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch 1/75\n",
- "17/17 [==============================] - 1s 68ms/step - loss: 1.3706 - accuracy: 0.3259 - val_loss: 1.3071 - val_accuracy: 0.4639\n",
- "Epoch 2/75\n",
- "17/17 [==============================] - 1s 64ms/step - loss: 1.1918 - accuracy: 0.4818 - val_loss: 1.0518 - val_accuracy: 0.4806\n",
- "Epoch 3/75\n",
- "17/17 [==============================] - 1s 74ms/step - loss: 1.0038 - accuracy: 0.5256 - val_loss: 0.9991 - val_accuracy: 0.5639\n",
- "Epoch 4/75\n",
- "17/17 [==============================] - 1s 72ms/step - loss: 0.9443 - accuracy: 0.5654 - val_loss: 0.9796 - val_accuracy: 0.5528\n",
- "Epoch 5/75\n",
- "17/17 [==============================] - 1s 80ms/step - loss: 0.9179 - accuracy: 0.5929 - val_loss: 0.9287 - val_accuracy: 0.5750\n",
- "Epoch 6/75\n",
- "17/17 [==============================] - 1s 79ms/step - loss: 0.8933 - accuracy: 0.5889 - val_loss: 0.9168 - val_accuracy: 0.5889\n",
- "Epoch 7/75\n",
- "17/17 [==============================] - 1s 79ms/step - loss: 0.8539 - accuracy: 0.6154 - val_loss: 0.8781 - val_accuracy: 0.6028\n",
- "Epoch 8/75\n",
- "17/17 [==============================] - 1s 75ms/step - loss: 0.8257 - accuracy: 0.6272 - val_loss: 0.8257 - val_accuracy: 0.6278\n",
- "Epoch 9/75\n",
- "17/17 [==============================] - 1s 69ms/step - loss: 0.8126 - accuracy: 0.6302 - val_loss: 0.8046 - val_accuracy: 0.6333\n",
- "Epoch 10/75\n",
- "17/17 [==============================] - 1s 65ms/step - loss: 0.7816 - accuracy: 0.6515 - val_loss: 0.7595 - val_accuracy: 0.6556\n",
- "Epoch 11/75\n",
- "17/17 [==============================] - 1s 69ms/step - loss: 0.7425 - accuracy: 0.6633 - val_loss: 0.7294 - val_accuracy: 0.6722\n",
- "Epoch 12/75\n",
- "17/17 [==============================] - 1s 62ms/step - loss: 0.7161 - accuracy: 0.6855 - val_loss: 0.7203 - val_accuracy: 0.7194\n",
- "Epoch 13/75\n",
- "17/17 [==============================] - 1s 61ms/step - loss: 0.7076 - accuracy: 0.6775 - val_loss: 0.6609 - val_accuracy: 0.7139\n",
- "Epoch 14/75\n",
- "17/17 [==============================] - 1s 63ms/step - loss: 0.6747 - accuracy: 0.7068 - val_loss: 0.6331 - val_accuracy: 0.7139\n",
- "Epoch 15/75\n",
- "17/17 [==============================] - 1s 65ms/step - loss: 0.6451 - accuracy: 0.7136 - val_loss: 0.5972 - val_accuracy: 0.7194\n",
- "Epoch 16/75\n",
- "17/17 [==============================] - 1s 61ms/step - loss: 0.6299 - accuracy: 0.7287 - val_loss: 0.5816 - val_accuracy: 0.7806\n",
- "Epoch 17/75\n",
- "17/17 [==============================] - 1s 62ms/step - loss: 0.5977 - accuracy: 0.7367 - val_loss: 0.5573 - val_accuracy: 0.7694\n",
- "Epoch 18/75\n",
- "17/17 [==============================] - 1s 74ms/step - loss: 0.5794 - accuracy: 0.7414 - val_loss: 0.5407 - val_accuracy: 0.7750\n",
- "Epoch 19/75\n",
- "17/17 [==============================] - 1s 73ms/step - loss: 0.5945 - accuracy: 0.7383 - val_loss: 0.5567 - val_accuracy: 0.7806\n",
- "Epoch 20/75\n",
- "17/17 [==============================] - 1s 65ms/step - loss: 0.5577 - accuracy: 0.7515 - val_loss: 0.5188 - val_accuracy: 0.7778\n",
- "Epoch 21/75\n",
- "17/17 [==============================] - 1s 63ms/step - loss: 0.5411 - accuracy: 0.7642 - val_loss: 0.5085 - val_accuracy: 0.7861\n",
- "Epoch 22/75\n",
- "17/17 [==============================] - 1s 61ms/step - loss: 0.5310 - accuracy: 0.7713 - val_loss: 0.5159 - val_accuracy: 0.8056\n",
- "Epoch 23/75\n",
- "17/17 [==============================] - 1s 70ms/step - loss: 0.5058 - accuracy: 0.7741 - val_loss: 0.4885 - val_accuracy: 0.8028\n",
- "Epoch 24/75\n",
- "17/17 [==============================] - 1s 65ms/step - loss: 0.5077 - accuracy: 0.7907 - val_loss: 0.4852 - val_accuracy: 0.8111\n",
- "Epoch 25/75\n",
- "17/17 [==============================] - 1s 72ms/step - loss: 0.4895 - accuracy: 0.7923 - val_loss: 0.4568 - val_accuracy: 0.8250\n",
- "Epoch 26/75\n",
- "17/17 [==============================] - 1s 83ms/step - loss: 0.4790 - accuracy: 0.7954 - val_loss: 0.4578 - val_accuracy: 0.8278\n",
- "Epoch 27/75\n",
- "17/17 [==============================] - 1s 68ms/step - loss: 0.4735 - accuracy: 0.7969 - val_loss: 0.4539 - val_accuracy: 0.8222\n",
- "Epoch 28/75\n",
- "17/17 [==============================] - 1s 69ms/step - loss: 0.4617 - accuracy: 0.8043 - val_loss: 0.4685 - val_accuracy: 0.8139\n",
- "Epoch 29/75\n",
- "17/17 [==============================] - 1s 60ms/step - loss: 0.4596 - accuracy: 0.8120 - val_loss: 0.4470 - val_accuracy: 0.8167\n",
- "Epoch 30/75\n",
- "17/17 [==============================] - 1s 73ms/step - loss: 0.4544 - accuracy: 0.8080 - val_loss: 0.4397 - val_accuracy: 0.8361\n",
- "Epoch 31/75\n",
- "17/17 [==============================] - 1s 71ms/step - loss: 0.4295 - accuracy: 0.8219 - val_loss: 0.4385 - val_accuracy: 0.8306\n",
- "Epoch 32/75\n",
- "17/17 [==============================] - 1s 77ms/step - loss: 0.4238 - accuracy: 0.8262 - val_loss: 0.4316 - val_accuracy: 0.8222\n",
- "Epoch 33/75\n",
- "17/17 [==============================] - 1s 71ms/step - loss: 0.4177 - accuracy: 0.8287 - val_loss: 0.4398 - val_accuracy: 0.8306\n",
- "Epoch 34/75\n",
- "17/17 [==============================] - 1s 72ms/step - loss: 0.4225 - accuracy: 0.8355 - val_loss: 0.4426 - val_accuracy: 0.8361\n",
- "Epoch 35/75\n",
- "17/17 [==============================] - 1s 69ms/step - loss: 0.4139 - accuracy: 0.8407 - val_loss: 0.4258 - val_accuracy: 0.8333\n",
- "Epoch 36/75\n",
- "17/17 [==============================] - 1s 66ms/step - loss: 0.4042 - accuracy: 0.8265 - val_loss: 0.4201 - val_accuracy: 0.8528\n",
- "Epoch 37/75\n",
- "17/17 [==============================] - 1s 63ms/step - loss: 0.3931 - accuracy: 0.8466 - val_loss: 0.4315 - val_accuracy: 0.8417\n",
- "Epoch 38/75\n",
- "17/17 [==============================] - 1s 64ms/step - loss: 0.4028 - accuracy: 0.8281 - val_loss: 0.4252 - val_accuracy: 0.8417\n",
- "Epoch 39/75\n",
- "17/17 [==============================] - 1s 65ms/step - loss: 0.3853 - accuracy: 0.8559 - val_loss: 0.4078 - val_accuracy: 0.8444\n",
- "Epoch 40/75\n",
- "17/17 [==============================] - 1s 76ms/step - loss: 0.3734 - accuracy: 0.8503 - val_loss: 0.4112 - val_accuracy: 0.8444\n",
- "Epoch 41/75\n",
- "17/17 [==============================] - 1s 66ms/step - loss: 0.3908 - accuracy: 0.8491 - val_loss: 0.4037 - val_accuracy: 0.8500\n",
- "Epoch 42/75\n",
- "17/17 [==============================] - 1s 68ms/step - loss: 0.3706 - accuracy: 0.8506 - val_loss: 0.4308 - val_accuracy: 0.8389\n",
- "Epoch 43/75\n",
- "17/17 [==============================] - 1s 67ms/step - loss: 0.3645 - accuracy: 0.8515 - val_loss: 0.4133 - val_accuracy: 0.8389\n",
- "Epoch 44/75\n",
- "17/17 [==============================] - 1s 65ms/step - loss: 0.3597 - accuracy: 0.8605 - val_loss: 0.3954 - val_accuracy: 0.8611\n",
- "Epoch 45/75\n",
- "17/17 [==============================] - 1s 70ms/step - loss: 0.3541 - accuracy: 0.8565 - val_loss: 0.3858 - val_accuracy: 0.8611\n",
- "Epoch 46/75\n",
- "17/17 [==============================] - 1s 70ms/step - loss: 0.3531 - accuracy: 0.8574 - val_loss: 0.4039 - val_accuracy: 0.8500\n",
- "Epoch 47/75\n",
- "17/17 [==============================] - 1s 76ms/step - loss: 0.3526 - accuracy: 0.8605 - val_loss: 0.3836 - val_accuracy: 0.8611\n",
- "Epoch 48/75\n",
- "17/17 [==============================] - 1s 65ms/step - loss: 0.3599 - accuracy: 0.8500 - val_loss: 0.4222 - val_accuracy: 0.8472\n",
- "Epoch 49/75\n",
- "17/17 [==============================] - 1s 63ms/step - loss: 0.3462 - accuracy: 0.8620 - val_loss: 0.4045 - val_accuracy: 0.8556\n",
- "Epoch 50/75\n",
- "17/17 [==============================] - 1s 74ms/step - loss: 0.3367 - accuracy: 0.8648 - val_loss: 0.3914 - val_accuracy: 0.8611\n",
- "Epoch 51/75\n",
- "17/17 [==============================] - 1s 68ms/step - loss: 0.3457 - accuracy: 0.8605 - val_loss: 0.4021 - val_accuracy: 0.8500\n",
- "Epoch 52/75\n",
- "17/17 [==============================] - 1s 72ms/step - loss: 0.3334 - accuracy: 0.8725 - val_loss: 0.4029 - val_accuracy: 0.8694\n",
- "Epoch 53/75\n",
- "17/17 [==============================] - 1s 61ms/step - loss: 0.3374 - accuracy: 0.8633 - val_loss: 0.3894 - val_accuracy: 0.8528\n",
- "Epoch 54/75\n",
- "17/17 [==============================] - 1s 69ms/step - loss: 0.3343 - accuracy: 0.8630 - val_loss: 0.3800 - val_accuracy: 0.8833\n",
- "Epoch 55/75\n",
- "17/17 [==============================] - 1s 67ms/step - loss: 0.3203 - accuracy: 0.8744 - val_loss: 0.4097 - val_accuracy: 0.8444\n",
- "Epoch 56/75\n",
- "17/17 [==============================] - 1s 61ms/step - loss: 0.3315 - accuracy: 0.8670 - val_loss: 0.3785 - val_accuracy: 0.8556\n",
- "Epoch 57/75\n",
- "17/17 [==============================] - 1s 60ms/step - loss: 0.3163 - accuracy: 0.8778 - val_loss: 0.3834 - val_accuracy: 0.8667\n",
- "Epoch 58/75\n",
- "17/17 [==============================] - 1s 62ms/step - loss: 0.3140 - accuracy: 0.8728 - val_loss: 0.3997 - val_accuracy: 0.8611\n"
+ "Epoch 1/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 1.3781 - accuracy: 0.3086 - val_loss: 1.3430 - val_accuracy: 0.5083\n",
+ "Epoch 2/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 1.2632 - accuracy: 0.4583 - val_loss: 1.0897 - val_accuracy: 0.5083\n",
+ "Epoch 3/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 1.0615 - accuracy: 0.5151 - val_loss: 0.9411 - val_accuracy: 0.5722\n",
+ "Epoch 4/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.9879 - accuracy: 0.5426 - val_loss: 0.8975 - val_accuracy: 0.5861\n",
+ "Epoch 5/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.9514 - accuracy: 0.5698 - val_loss: 0.8564 - val_accuracy: 0.6028\n",
+ "Epoch 6/200\n",
+ "17/17 [==============================] - 1s 67ms/step - loss: 0.9050 - accuracy: 0.5975 - val_loss: 0.8161 - val_accuracy: 0.6222\n",
+ "Epoch 7/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.8805 - accuracy: 0.6127 - val_loss: 0.8084 - val_accuracy: 0.6250\n",
+ "Epoch 8/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.8552 - accuracy: 0.6123 - val_loss: 0.8093 - val_accuracy: 0.5972\n",
+ "Epoch 9/200\n",
+ "17/17 [==============================] - 1s 64ms/step - loss: 0.8436 - accuracy: 0.6142 - val_loss: 0.7369 - val_accuracy: 0.6583\n",
+ "Epoch 10/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.7887 - accuracy: 0.6466 - val_loss: 0.7060 - val_accuracy: 0.6694\n",
+ "Epoch 11/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.7787 - accuracy: 0.6503 - val_loss: 0.6888 - val_accuracy: 0.6861\n",
+ "Epoch 12/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.7521 - accuracy: 0.6546 - val_loss: 0.6506 - val_accuracy: 0.7083\n",
+ "Epoch 13/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.7365 - accuracy: 0.6645 - val_loss: 0.6339 - val_accuracy: 0.7194\n",
+ "Epoch 14/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.7031 - accuracy: 0.6858 - val_loss: 0.6122 - val_accuracy: 0.7278\n",
+ "Epoch 15/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.6789 - accuracy: 0.7034 - val_loss: 0.5973 - val_accuracy: 0.7194\n",
+ "Epoch 16/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.6575 - accuracy: 0.7012 - val_loss: 0.5851 - val_accuracy: 0.7306\n",
+ "Epoch 17/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.6476 - accuracy: 0.7111 - val_loss: 0.5637 - val_accuracy: 0.7500\n",
+ "Epoch 18/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.6364 - accuracy: 0.7182 - val_loss: 0.5641 - val_accuracy: 0.7528\n",
+ "Epoch 19/200\n",
+ "17/17 [==============================] - 1s 65ms/step - loss: 0.6391 - accuracy: 0.7046 - val_loss: 0.5387 - val_accuracy: 0.7639\n",
+ "Epoch 20/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.6161 - accuracy: 0.7281 - val_loss: 0.5340 - val_accuracy: 0.7667\n",
+ "Epoch 21/200\n",
+ "17/17 [==============================] - 1s 73ms/step - loss: 0.5925 - accuracy: 0.7432 - val_loss: 0.5203 - val_accuracy: 0.7722\n",
+ "Epoch 22/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.5780 - accuracy: 0.7435 - val_loss: 0.5078 - val_accuracy: 0.7861\n",
+ "Epoch 23/200\n",
+ "17/17 [==============================] - 1s 69ms/step - loss: 0.5703 - accuracy: 0.7503 - val_loss: 0.5010 - val_accuracy: 0.8000\n",
+ "Epoch 24/200\n",
+ "17/17 [==============================] - 1s 64ms/step - loss: 0.5573 - accuracy: 0.7546 - val_loss: 0.4745 - val_accuracy: 0.8278\n",
+ "Epoch 25/200\n",
+ "17/17 [==============================] - 1s 66ms/step - loss: 0.5549 - accuracy: 0.7660 - val_loss: 0.4751 - val_accuracy: 0.8306\n",
+ "Epoch 26/200\n",
+ "17/17 [==============================] - 1s 71ms/step - loss: 0.5290 - accuracy: 0.7707 - val_loss: 0.4620 - val_accuracy: 0.8361\n",
+ "Epoch 27/200\n",
+ "17/17 [==============================] - 1s 67ms/step - loss: 0.5150 - accuracy: 0.7796 - val_loss: 0.4494 - val_accuracy: 0.8361\n",
+ "Epoch 28/200\n",
+ "17/17 [==============================] - 1s 60ms/step - loss: 0.5070 - accuracy: 0.7920 - val_loss: 0.4452 - val_accuracy: 0.8278\n",
+ "Epoch 29/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.5113 - accuracy: 0.7778 - val_loss: 0.4326 - val_accuracy: 0.8306\n",
+ "Epoch 30/200\n",
+ "17/17 [==============================] - 1s 74ms/step - loss: 0.4912 - accuracy: 0.7907 - val_loss: 0.4214 - val_accuracy: 0.8361\n",
+ "Epoch 31/200\n",
+ "17/17 [==============================] - 1s 69ms/step - loss: 0.4890 - accuracy: 0.7883 - val_loss: 0.4241 - val_accuracy: 0.8389\n",
+ "Epoch 32/200\n",
+ "17/17 [==============================] - 1s 65ms/step - loss: 0.4790 - accuracy: 0.7978 - val_loss: 0.4183 - val_accuracy: 0.8306\n",
+ "Epoch 33/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.4696 - accuracy: 0.8037 - val_loss: 0.4092 - val_accuracy: 0.8556\n",
+ "Epoch 34/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4726 - accuracy: 0.7951 - val_loss: 0.4124 - val_accuracy: 0.8389\n",
+ "Epoch 35/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.4673 - accuracy: 0.8040 - val_loss: 0.4106 - val_accuracy: 0.8278\n",
+ "Epoch 36/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.4548 - accuracy: 0.8120 - val_loss: 0.3912 - val_accuracy: 0.8583\n",
+ "Epoch 37/200\n",
+ "17/17 [==============================] - 1s 60ms/step - loss: 0.4552 - accuracy: 0.8108 - val_loss: 0.3896 - val_accuracy: 0.8639\n",
+ "Epoch 38/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.4301 - accuracy: 0.8238 - val_loss: 0.3917 - val_accuracy: 0.8694\n",
+ "Epoch 39/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.4247 - accuracy: 0.8244 - val_loss: 0.3770 - val_accuracy: 0.8500\n",
+ "Epoch 40/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.4309 - accuracy: 0.8176 - val_loss: 0.3941 - val_accuracy: 0.8667\n",
+ "Epoch 41/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4214 - accuracy: 0.8293 - val_loss: 0.3782 - val_accuracy: 0.8556\n",
+ "Epoch 42/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4034 - accuracy: 0.8386 - val_loss: 0.3708 - val_accuracy: 0.8500\n",
+ "Epoch 43/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4181 - accuracy: 0.8262 - val_loss: 0.3642 - val_accuracy: 0.8778\n",
+ "Epoch 44/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4073 - accuracy: 0.8355 - val_loss: 0.3590 - val_accuracy: 0.8722\n",
+ "Epoch 45/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4039 - accuracy: 0.8321 - val_loss: 0.3752 - val_accuracy: 0.8722\n",
+ "Epoch 46/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3885 - accuracy: 0.8426 - val_loss: 0.3525 - val_accuracy: 0.8694\n",
+ "Epoch 47/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3901 - accuracy: 0.8395 - val_loss: 0.3627 - val_accuracy: 0.8639\n",
+ "Epoch 48/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3749 - accuracy: 0.8556 - val_loss: 0.3559 - val_accuracy: 0.8611\n",
+ "Epoch 49/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.3753 - accuracy: 0.8466 - val_loss: 0.3512 - val_accuracy: 0.8667\n",
+ "Epoch 50/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.3742 - accuracy: 0.8432 - val_loss: 0.3564 - val_accuracy: 0.8639\n",
+ "Epoch 51/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3654 - accuracy: 0.8580 - val_loss: 0.3380 - val_accuracy: 0.8750\n",
+ "Epoch 52/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.3723 - accuracy: 0.8466 - val_loss: 0.3521 - val_accuracy: 0.8556\n",
+ "Epoch 53/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.3691 - accuracy: 0.8522 - val_loss: 0.3498 - val_accuracy: 0.8667\n",
+ "Epoch 54/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.3557 - accuracy: 0.8546 - val_loss: 0.3442 - val_accuracy: 0.8583\n",
+ "Epoch 55/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.3536 - accuracy: 0.8577 - val_loss: 0.3619 - val_accuracy: 0.8639\n",
+ "Epoch 56/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.3717 - accuracy: 0.8438 - val_loss: 0.3327 - val_accuracy: 0.8833\n",
+ "Epoch 57/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.3572 - accuracy: 0.8519 - val_loss: 0.3290 - val_accuracy: 0.8833\n",
+ "Epoch 58/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3486 - accuracy: 0.8648 - val_loss: 0.3369 - val_accuracy: 0.8806\n",
+ "Epoch 59/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3481 - accuracy: 0.8574 - val_loss: 0.3293 - val_accuracy: 0.8750\n",
+ "Epoch 60/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3410 - accuracy: 0.8611 - val_loss: 0.3342 - val_accuracy: 0.8639\n",
+ "Epoch 61/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3440 - accuracy: 0.8614 - val_loss: 0.3328 - val_accuracy: 0.8750\n",
+ "Epoch 62/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3275 - accuracy: 0.8707 - val_loss: 0.3368 - val_accuracy: 0.8694\n",
+ "Epoch 63/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3245 - accuracy: 0.8744 - val_loss: 0.3440 - val_accuracy: 0.8500\n",
+ "Epoch 64/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3373 - accuracy: 0.8670 - val_loss: 0.3288 - val_accuracy: 0.8750\n",
+ "Epoch 65/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3251 - accuracy: 0.8667 - val_loss: 0.3305 - val_accuracy: 0.8722\n",
+ "Epoch 66/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3248 - accuracy: 0.8654 - val_loss: 0.3307 - val_accuracy: 0.8750\n",
+ "Epoch 67/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3148 - accuracy: 0.8660 - val_loss: 0.3181 - val_accuracy: 0.8889\n",
+ "Epoch 68/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3133 - accuracy: 0.8719 - val_loss: 0.3203 - val_accuracy: 0.8778\n",
+ "Epoch 69/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3134 - accuracy: 0.8735 - val_loss: 0.3150 - val_accuracy: 0.8889\n",
+ "Epoch 70/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3065 - accuracy: 0.8738 - val_loss: 0.3131 - val_accuracy: 0.8889\n",
+ "Epoch 71/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3129 - accuracy: 0.8722 - val_loss: 0.3134 - val_accuracy: 0.8833\n",
+ "Epoch 72/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3130 - accuracy: 0.8673 - val_loss: 0.3340 - val_accuracy: 0.8861\n",
+ "Epoch 73/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3186 - accuracy: 0.8679 - val_loss: 0.3146 - val_accuracy: 0.8861\n",
+ "Epoch 74/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.2865 - accuracy: 0.8852 - val_loss: 0.3164 - val_accuracy: 0.8917\n",
+ "Epoch 75/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3003 - accuracy: 0.8806 - val_loss: 0.3366 - val_accuracy: 0.8639\n",
+ "Epoch 76/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2987 - accuracy: 0.8775 - val_loss: 0.3140 - val_accuracy: 0.8944\n",
+ "Epoch 77/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2976 - accuracy: 0.8784 - val_loss: 0.3184 - val_accuracy: 0.8833\n",
+ "Epoch 78/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2845 - accuracy: 0.8910 - val_loss: 0.3200 - val_accuracy: 0.8861\n",
+ "Epoch 79/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2969 - accuracy: 0.8793 - val_loss: 0.3129 - val_accuracy: 0.8861\n",
+ "Epoch 80/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2988 - accuracy: 0.8818 - val_loss: 0.3185 - val_accuracy: 0.8778\n",
+ "Epoch 81/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2757 - accuracy: 0.8880 - val_loss: 0.3082 - val_accuracy: 0.8917\n",
+ "Epoch 82/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2869 - accuracy: 0.8833 - val_loss: 0.3094 - val_accuracy: 0.8861\n",
+ "Epoch 83/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2760 - accuracy: 0.8910 - val_loss: 0.3198 - val_accuracy: 0.8917\n",
+ "Epoch 84/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2778 - accuracy: 0.8907 - val_loss: 0.3217 - val_accuracy: 0.8889\n",
+ "Epoch 85/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2789 - accuracy: 0.8812 - val_loss: 0.3092 - val_accuracy: 0.8917\n",
+ "Epoch 86/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2838 - accuracy: 0.8827 - val_loss: 0.2983 - val_accuracy: 0.9028\n",
+ "Epoch 87/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2725 - accuracy: 0.8892 - val_loss: 0.3305 - val_accuracy: 0.8694\n",
+ "Epoch 88/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2791 - accuracy: 0.8880 - val_loss: 0.3143 - val_accuracy: 0.8944\n",
+ "Epoch 89/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2688 - accuracy: 0.8926 - val_loss: 0.3097 - val_accuracy: 0.8889\n",
+ "Epoch 90/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2803 - accuracy: 0.8938 - val_loss: 0.3037 - val_accuracy: 0.8972\n",
+ "Epoch 91/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2650 - accuracy: 0.8907 - val_loss: 0.3093 - val_accuracy: 0.8972\n",
+ "Epoch 92/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2605 - accuracy: 0.8926 - val_loss: 0.2981 - val_accuracy: 0.8944\n",
+ "Epoch 93/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2574 - accuracy: 0.8975 - val_loss: 0.3028 - val_accuracy: 0.9000\n",
+ "Epoch 94/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2559 - accuracy: 0.8966 - val_loss: 0.3667 - val_accuracy: 0.8667\n",
+ "Epoch 95/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2611 - accuracy: 0.8948 - val_loss: 0.3028 - val_accuracy: 0.8972\n",
+ "Epoch 96/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2631 - accuracy: 0.8951 - val_loss: 0.3430 - val_accuracy: 0.8667\n",
+ "Epoch 97/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.2657 - accuracy: 0.8920 - val_loss: 0.3161 - val_accuracy: 0.8917\n",
+ "Epoch 98/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.2619 - accuracy: 0.8920 - val_loss: 0.3092 - val_accuracy: 0.8944\n",
+ "Epoch 99/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2493 - accuracy: 0.9031 - val_loss: 0.3246 - val_accuracy: 0.8972\n",
+ "Epoch 100/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2468 - accuracy: 0.9028 - val_loss: 0.3030 - val_accuracy: 0.9028\n",
+ "Epoch 101/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2504 - accuracy: 0.9012 - val_loss: 0.3274 - val_accuracy: 0.8889\n",
+ "Epoch 102/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2574 - accuracy: 0.8981 - val_loss: 0.3058 - val_accuracy: 0.9028\n",
+ "Epoch 103/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2355 - accuracy: 0.9096 - val_loss: 0.3169 - val_accuracy: 0.9000\n",
+ "Epoch 104/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2502 - accuracy: 0.8994 - val_loss: 0.3188 - val_accuracy: 0.8944\n",
+ "Epoch 105/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2394 - accuracy: 0.8997 - val_loss: 0.3115 - val_accuracy: 0.8833\n",
+ "Epoch 106/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2507 - accuracy: 0.8991 - val_loss: 0.3155 - val_accuracy: 0.8972\n",
+ "Epoch 107/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.2401 - accuracy: 0.9040 - val_loss: 0.3170 - val_accuracy: 0.8917\n",
+ "Epoch 108/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2375 - accuracy: 0.9049 - val_loss: 0.3126 - val_accuracy: 0.8917\n",
+ "Epoch 109/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2314 - accuracy: 0.9062 - val_loss: 0.3085 - val_accuracy: 0.8972\n",
+ "Epoch 110/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2366 - accuracy: 0.8991 - val_loss: 0.3233 - val_accuracy: 0.8972\n",
+ "Epoch 111/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2429 - accuracy: 0.9019 - val_loss: 0.3152 - val_accuracy: 0.8944\n",
+ "Epoch 112/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2274 - accuracy: 0.9056 - val_loss: 0.3214 - val_accuracy: 0.8972\n",
+ "Epoch 113/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2451 - accuracy: 0.8985 - val_loss: 0.2960 - val_accuracy: 0.9056\n",
+ "Epoch 114/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2190 - accuracy: 0.9164 - val_loss: 0.3150 - val_accuracy: 0.8944\n",
+ "Epoch 115/200\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Epoch 59/75\n",
- "17/17 [==============================] - 1s 62ms/step - loss: 0.3162 - accuracy: 0.8679 - val_loss: 0.4038 - val_accuracy: 0.8528\n",
- "Epoch 60/75\n",
- "17/17 [==============================] - 1s 62ms/step - loss: 0.3167 - accuracy: 0.8772 - val_loss: 0.3953 - val_accuracy: 0.8611\n",
- "Epoch 61/75\n",
- "17/17 [==============================] - 1s 60ms/step - loss: 0.2943 - accuracy: 0.8898 - val_loss: 0.3835 - val_accuracy: 0.8611\n",
- "Epoch 62/75\n",
- "17/17 [==============================] - 1s 60ms/step - loss: 0.3045 - accuracy: 0.8796 - val_loss: 0.3873 - val_accuracy: 0.8778\n",
- "Epoch 63/75\n",
- "17/17 [==============================] - 1s 62ms/step - loss: 0.3002 - accuracy: 0.8796 - val_loss: 0.3777 - val_accuracy: 0.8750\n",
- "Epoch 64/75\n",
- "17/17 [==============================] - 1s 63ms/step - loss: 0.3045 - accuracy: 0.8787 - val_loss: 0.3886 - val_accuracy: 0.8639\n",
- "Epoch 65/75\n",
- "17/17 [==============================] - 1s 61ms/step - loss: 0.2986 - accuracy: 0.8781 - val_loss: 0.4188 - val_accuracy: 0.8667\n",
- "Epoch 66/75\n",
- "17/17 [==============================] - 1s 61ms/step - loss: 0.3136 - accuracy: 0.8731 - val_loss: 0.4012 - val_accuracy: 0.8611\n",
- "Epoch 67/75\n",
- "17/17 [==============================] - 1s 61ms/step - loss: 0.2843 - accuracy: 0.8929 - val_loss: 0.3828 - val_accuracy: 0.8694\n",
- "Epoch 68/75\n",
- "17/17 [==============================] - 1s 63ms/step - loss: 0.2845 - accuracy: 0.8929 - val_loss: 0.4210 - val_accuracy: 0.8722\n",
- "Epoch 69/75\n",
- "17/17 [==============================] - 1s 60ms/step - loss: 0.2911 - accuracy: 0.8889 - val_loss: 0.3933 - val_accuracy: 0.8667\n",
- "Epoch 70/75\n",
- "17/17 [==============================] - 1s 63ms/step - loss: 0.2836 - accuracy: 0.8883 - val_loss: 0.3921 - val_accuracy: 0.8694\n",
- "Epoch 71/75\n",
- "17/17 [==============================] - 1s 68ms/step - loss: 0.2859 - accuracy: 0.8818 - val_loss: 0.4081 - val_accuracy: 0.8500\n",
- "Epoch 72/75\n",
- "17/17 [==============================] - 1s 61ms/step - loss: 0.2753 - accuracy: 0.8886 - val_loss: 0.3926 - val_accuracy: 0.8750\n",
- "Epoch 73/75\n",
- "17/17 [==============================] - 1s 59ms/step - loss: 0.2711 - accuracy: 0.8904 - val_loss: 0.4094 - val_accuracy: 0.8722\n",
- "Epoch 74/75\n",
- "17/17 [==============================] - 1s 68ms/step - loss: 0.2887 - accuracy: 0.8870 - val_loss: 0.4130 - val_accuracy: 0.8500\n",
- "Epoch 75/75\n",
- "17/17 [==============================] - 1s 65ms/step - loss: 0.2804 - accuracy: 0.8889 - val_loss: 0.3767 - val_accuracy: 0.8778\n"
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2218 - accuracy: 0.9108 - val_loss: 0.3130 - val_accuracy: 0.9000\n",
+ "Epoch 116/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2349 - accuracy: 0.9059 - val_loss: 0.3216 - val_accuracy: 0.9056\n",
+ "Epoch 117/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2250 - accuracy: 0.9074 - val_loss: 0.3121 - val_accuracy: 0.9000\n",
+ "Epoch 118/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2269 - accuracy: 0.9114 - val_loss: 0.3161 - val_accuracy: 0.9000\n",
+ "Epoch 119/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2140 - accuracy: 0.9188 - val_loss: 0.3054 - val_accuracy: 0.9028\n",
+ "Epoch 120/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2294 - accuracy: 0.9105 - val_loss: 0.3079 - val_accuracy: 0.9028\n",
+ "Epoch 121/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2129 - accuracy: 0.9148 - val_loss: 0.3043 - val_accuracy: 0.9056\n",
+ "Epoch 122/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2100 - accuracy: 0.9164 - val_loss: 0.2990 - val_accuracy: 0.9056\n",
+ "Epoch 123/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2240 - accuracy: 0.9099 - val_loss: 0.3062 - val_accuracy: 0.9083\n",
+ "Epoch 124/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2029 - accuracy: 0.9198 - val_loss: 0.3197 - val_accuracy: 0.9028\n",
+ "Epoch 125/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2191 - accuracy: 0.9151 - val_loss: 0.3415 - val_accuracy: 0.8861\n",
+ "Epoch 126/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2172 - accuracy: 0.9157 - val_loss: 0.3101 - val_accuracy: 0.9028\n",
+ "Epoch 127/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2096 - accuracy: 0.9201 - val_loss: 0.3079 - val_accuracy: 0.9056\n",
+ "Epoch 128/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2144 - accuracy: 0.9204 - val_loss: 0.3052 - val_accuracy: 0.9111\n",
+ "Epoch 129/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2030 - accuracy: 0.9219 - val_loss: 0.3147 - val_accuracy: 0.9056\n",
+ "Epoch 130/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2139 - accuracy: 0.9179 - val_loss: 0.3202 - val_accuracy: 0.9028\n",
+ "Epoch 131/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2085 - accuracy: 0.9170 - val_loss: 0.3140 - val_accuracy: 0.9056\n",
+ "Epoch 132/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2038 - accuracy: 0.9142 - val_loss: 0.3125 - val_accuracy: 0.9083\n",
+ "Epoch 133/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1889 - accuracy: 0.9250 - val_loss: 0.3275 - val_accuracy: 0.9056\n",
+ "Epoch 134/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2052 - accuracy: 0.9167 - val_loss: 0.3146 - val_accuracy: 0.9028\n",
+ "Epoch 135/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1990 - accuracy: 0.9185 - val_loss: 0.3174 - val_accuracy: 0.9028\n",
+ "Epoch 136/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1992 - accuracy: 0.9228 - val_loss: 0.3207 - val_accuracy: 0.8972\n",
+ "Epoch 137/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2169 - accuracy: 0.9114 - val_loss: 0.3221 - val_accuracy: 0.9000\n",
+ "Epoch 138/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2113 - accuracy: 0.9157 - val_loss: 0.3446 - val_accuracy: 0.8944\n",
+ "Epoch 139/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2003 - accuracy: 0.9235 - val_loss: 0.3408 - val_accuracy: 0.9056\n",
+ "Epoch 140/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2036 - accuracy: 0.9182 - val_loss: 0.3244 - val_accuracy: 0.9028\n",
+ "Epoch 141/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1921 - accuracy: 0.9235 - val_loss: 0.3062 - val_accuracy: 0.8972\n",
+ "Epoch 142/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1994 - accuracy: 0.9170 - val_loss: 0.3157 - val_accuracy: 0.9028\n",
+ "Epoch 143/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1997 - accuracy: 0.9235 - val_loss: 0.3079 - val_accuracy: 0.8917\n",
+ "Epoch 144/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1837 - accuracy: 0.9287 - val_loss: 0.3026 - val_accuracy: 0.9000\n",
+ "Epoch 145/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1932 - accuracy: 0.9216 - val_loss: 0.3134 - val_accuracy: 0.8972\n",
+ "Epoch 146/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1842 - accuracy: 0.9269 - val_loss: 0.3200 - val_accuracy: 0.9000\n",
+ "Epoch 147/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1933 - accuracy: 0.9235 - val_loss: 0.3142 - val_accuracy: 0.9056\n",
+ "Epoch 148/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1925 - accuracy: 0.9281 - val_loss: 0.3178 - val_accuracy: 0.8972\n",
+ "Epoch 149/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1781 - accuracy: 0.9318 - val_loss: 0.3128 - val_accuracy: 0.9111\n",
+ "Epoch 150/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1897 - accuracy: 0.9278 - val_loss: 0.3126 - val_accuracy: 0.9056\n",
+ "Epoch 151/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1934 - accuracy: 0.9198 - val_loss: 0.3234 - val_accuracy: 0.9056\n",
+ "Epoch 152/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1879 - accuracy: 0.9269 - val_loss: 0.3099 - val_accuracy: 0.9000\n",
+ "Epoch 153/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1894 - accuracy: 0.9265 - val_loss: 0.3295 - val_accuracy: 0.8722\n",
+ "Epoch 154/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.1953 - accuracy: 0.9216 - val_loss: 0.2980 - val_accuracy: 0.9056\n",
+ "Epoch 155/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1855 - accuracy: 0.9238 - val_loss: 0.2958 - val_accuracy: 0.9250\n",
+ "Epoch 156/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.1836 - accuracy: 0.9281 - val_loss: 0.3046 - val_accuracy: 0.9139\n",
+ "Epoch 157/200\n",
+ "17/17 [==============================] - 1s 68ms/step - loss: 0.1887 - accuracy: 0.9231 - val_loss: 0.3211 - val_accuracy: 0.9028\n",
+ "Epoch 158/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.1713 - accuracy: 0.9302 - val_loss: 0.3123 - val_accuracy: 0.9000\n",
+ "Epoch 159/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1809 - accuracy: 0.9265 - val_loss: 0.3141 - val_accuracy: 0.8972\n",
+ "Epoch 160/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1838 - accuracy: 0.9238 - val_loss: 0.3185 - val_accuracy: 0.8917\n",
+ "Epoch 161/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1857 - accuracy: 0.9265 - val_loss: 0.3091 - val_accuracy: 0.8917\n",
+ "Epoch 162/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1646 - accuracy: 0.9370 - val_loss: 0.3189 - val_accuracy: 0.8944\n",
+ "Epoch 163/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1727 - accuracy: 0.9343 - val_loss: 0.3078 - val_accuracy: 0.9111\n",
+ "Epoch 164/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1828 - accuracy: 0.9213 - val_loss: 0.3179 - val_accuracy: 0.8972\n",
+ "Epoch 165/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1834 - accuracy: 0.9256 - val_loss: 0.3077 - val_accuracy: 0.9083\n",
+ "Epoch 166/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1757 - accuracy: 0.9330 - val_loss: 0.3122 - val_accuracy: 0.9083\n",
+ "Epoch 167/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1737 - accuracy: 0.9281 - val_loss: 0.3292 - val_accuracy: 0.8972\n",
+ "Epoch 168/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.1750 - accuracy: 0.9321 - val_loss: 0.3208 - val_accuracy: 0.9056\n",
+ "Epoch 169/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1817 - accuracy: 0.9262 - val_loss: 0.3290 - val_accuracy: 0.9000\n",
+ "Epoch 170/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1665 - accuracy: 0.9293 - val_loss: 0.3259 - val_accuracy: 0.9056\n",
+ "Epoch 171/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1622 - accuracy: 0.9367 - val_loss: 0.3200 - val_accuracy: 0.9028\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 172/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1635 - accuracy: 0.9364 - val_loss: 0.3218 - val_accuracy: 0.9028\n",
+ "Epoch 173/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1718 - accuracy: 0.9352 - val_loss: 0.3616 - val_accuracy: 0.8833\n",
+ "Epoch 174/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1665 - accuracy: 0.9346 - val_loss: 0.3365 - val_accuracy: 0.8944\n",
+ "Epoch 175/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1663 - accuracy: 0.9340 - val_loss: 0.3427 - val_accuracy: 0.9000\n",
+ "Epoch 176/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1773 - accuracy: 0.9272 - val_loss: 0.3385 - val_accuracy: 0.9028\n",
+ "Epoch 177/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1653 - accuracy: 0.9343 - val_loss: 0.3369 - val_accuracy: 0.9000\n",
+ "Epoch 178/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1537 - accuracy: 0.9407 - val_loss: 0.3264 - val_accuracy: 0.9000\n",
+ "Epoch 179/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.1624 - accuracy: 0.9395 - val_loss: 0.3173 - val_accuracy: 0.9028\n",
+ "Epoch 180/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1625 - accuracy: 0.9364 - val_loss: 0.3581 - val_accuracy: 0.8944\n",
+ "Epoch 181/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1678 - accuracy: 0.9321 - val_loss: 0.3434 - val_accuracy: 0.8972\n",
+ "Epoch 182/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1696 - accuracy: 0.9346 - val_loss: 0.3318 - val_accuracy: 0.9000\n",
+ "Epoch 183/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1680 - accuracy: 0.9340 - val_loss: 0.3310 - val_accuracy: 0.8944\n",
+ "Epoch 184/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.1645 - accuracy: 0.9333 - val_loss: 0.3367 - val_accuracy: 0.9000\n",
+ "Epoch 185/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1539 - accuracy: 0.9401 - val_loss: 0.3510 - val_accuracy: 0.9028\n",
+ "Epoch 186/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1569 - accuracy: 0.9392 - val_loss: 0.3403 - val_accuracy: 0.9028\n",
+ "Epoch 187/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1567 - accuracy: 0.9386 - val_loss: 0.3411 - val_accuracy: 0.9000\n",
+ "Epoch 188/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1662 - accuracy: 0.9373 - val_loss: 0.3318 - val_accuracy: 0.9111\n",
+ "Epoch 189/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1752 - accuracy: 0.9299 - val_loss: 0.3545 - val_accuracy: 0.9139\n",
+ "Epoch 190/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.1744 - accuracy: 0.9302 - val_loss: 0.3519 - val_accuracy: 0.9028\n",
+ "Epoch 191/200\n",
+ "17/17 [==============================] - 1s 60ms/step - loss: 0.1640 - accuracy: 0.9330 - val_loss: 0.3248 - val_accuracy: 0.9083\n",
+ "Epoch 192/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1603 - accuracy: 0.9392 - val_loss: 0.3411 - val_accuracy: 0.9056\n",
+ "Epoch 193/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1682 - accuracy: 0.9318 - val_loss: 0.3369 - val_accuracy: 0.9000\n",
+ "Epoch 194/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1665 - accuracy: 0.9340 - val_loss: 0.3204 - val_accuracy: 0.8972\n",
+ "Epoch 195/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1571 - accuracy: 0.9330 - val_loss: 0.3622 - val_accuracy: 0.8861\n",
+ "Epoch 196/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1575 - accuracy: 0.9392 - val_loss: 0.3391 - val_accuracy: 0.8889\n",
+ "Epoch 197/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1504 - accuracy: 0.9423 - val_loss: 0.3458 - val_accuracy: 0.9028\n",
+ "Epoch 198/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1582 - accuracy: 0.9346 - val_loss: 0.3595 - val_accuracy: 0.9000\n",
+ "Epoch 199/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1479 - accuracy: 0.9404 - val_loss: 0.3747 - val_accuracy: 0.9000\n",
+ "Epoch 200/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1452 - accuracy: 0.9432 - val_loss: 0.3308 - val_accuracy: 0.9000\n"
]
}
],
"source": [
"history = model.fit(x_train, y_train,\n",
- " epochs=75, validation_split=0.1,\n",
+ " epochs=200, validation_split=0.1,\n",
" shuffle=True, batch_size=200,\n",
" verbose=1)\n",
"\n",
@@ -659,7 +915,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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4+tZT32xi2oLt3HNWe24f0ZZA95W7y2W476PVfLoyDYC/nN+JeZszWLQ9E5eBawe0YuG2TPblFFFc9tudKw0iQ7huYCsahkO7ZvGkZhfy/Jyt7D5YWGmZl6/qxaS3l5Ff6qBni/qM69eShz9bS88WsaRkFVBU5uS16/rw4dI9OFyGO0a05e4PVnKosIy3b+xHe3dddl5xGVGhQUeOW+Usg0B7lf3FqjRax0fRLSEGsCfr0u8fI3TJC9CkO2TvhNuXQnRjjsrlAlcZGUVQPyL4hKu2vGLfGlj1HjTtAclHHYvTqzQRqBOix/XEbUvP5+W52/jz6E40jA6tcbnDd4tUVVzmZOA/fsAAhwrLGNg6jicv7caurAKem72F1ak53DWyHQu3ZrBi9yHqRwRz7YBW5OblkbX8cw5Sj7tuupGiMier9xyiYXQo53dtQv2N78E3D0DnC2HMCxASSUGJg5Ubt7J3yUd07NSV7kMvJqOgjOBAoX6EvXp+5vvN/PvHbXRrHsNTl3WjS7OYSvE6nC4cLnNE/fiRHywHXu4PDTvCZa9DZJUGY5cLXugODTvAqKfglcHQcTRc8ebRtzvnUVgzE27/1e5j1Qxbn5Q8Huq3PPq63rRmJnx6s30dEAy3LoTCTMjbDx1GQ0hErYVytESgjcXKv7icsH8NNOt5UjZXVOrkh00HqJe/k0bNEmnboikB2Sn884OVfL83jNyiMl6/vk/5yT49r5hp83ewaX8eOzLyySoo5f5zO3DT0NakZBbw/JwtFGXv5bGSKQwqHsK4iXex71AhqV89Sd6Lv/Bs2Q0ciO7Mc2O7c0mTLG5ulMXq2I30z5tN8OpdmNJ8JMR9hb8tF856jBEdGsHmb+GTu2HHXGjSDdZ+DKlLoec1RO5bw5DN34CrDPYDKx6hYc9r7HIRDaBFf+4e2Y6h7RrSu1UsgftXw9TJkDQc+t0McW0IKswgyFlS/Ul332r4+l7oPQFy0iBvHxRmwfPdIDQaOl8E5zwBQaGwZwnk7IGRj0B8Oxh+P/z4hF2myyXVfwklefDr61CaB7+8Apv+B3tX2nkbv4IJX8HHN0JcWxgwGb59CJyl0O1yCKtvfwv1mlbe5sEdUFYMjTvb904HpC2DpskQfGRVHWATz94VkHcAQiJt/N/8CRL6wcVT4b9nwzsX288PEBoDo/8JPcYdua3iHMjabmOrhZGAtUSganRaHtcf/w4L/mmvzJp0qzyvKBtKC+3JLyiMsmVvkZ+XQ+SwOwkJAIyzvErjsDveXUaLja9xX9CHzHMl85fAu/k+4C6iXbmsDevF7TnX0rFTd6LCgogJgS9X7yOvFDo2jaZ1fCRFeQdZvT2NVgnN+TWtmJigMt4OeJzusp08Iom8bS4Bcx6BLd9QGhhBkCnDJA0nMDcNMjb+FkjDTtCyPwSFQYfz7Alw6etw0cvQoDW8cR7Uaw79b4GBd8DOBTDvH7DnF4iIgx7j7QkpcyuseNsmjMN6XAUJfWwCHXA7fHwDZKeAswQCgmDg7fDrNJBAuGMp7Jxvt99pDOz5FX5+wZ54EXuyb3sWDP0jrHwXCjJgw+f2ZDnhf3bZuU/AA7sgvD44SuG1EXBgHTTvDb2uh66X2gRy2K+vwaz7IK4dZG0DDFz+BgSGwIdXQ3RTyD8AxmVjCImE8FibcABa9Icbv7evM7fapJXyk33fuKtd/8A6ewLvMBqudMe9agYUZMKw+yFtOXz3MGRu/i2ugCCQALjlJ2jUEVZ/AJ/dYj9Dt8th3lOw62foNhYG3Go/32EfXmO/wwZtIK7Nb9M7XwQ9jxxxwBNaNaROSJ09rgc22BNRx9HHv95/htkr39FT7H/I1e9R0uFC9i2fRct5dxNgHBAcSX79DkRlrKDEBNGj7A3+r/53nOuYy5NtZjCwTTxj2gSy58f/Erj6XVoH7KekXiKhuSmsjhxMj4Kf+TbqEs51zKWo1MGf5A+sDErmn8WP0iYwndLL36Jlp/6w6EXMnMcQ46SEEHY3GETr0s0E5O/nade13Bf0AUHGaa8Iz30Sul1hq3WytkJIlD0hNusJwe6rz4pXjsbAK4PsySg20Z6Y/7DxyKqI3L02EQSFHjk9P91eXS/4p50WEGS3a5z2ZNi8j00KuxdBo872JNq8F6Qus8sAIPbkee7fYea1sH8dTF7025U22IT1vz/CdV/Cklfg4HabUA4rOmTr2Fe8bZNfdFMY+za06AfZu+Bdd2K44DmYdga0HwXjP7DH4/AJ9fxnILKR3c7Zj9nSQcYmWPOhTT53rrBX4B/fAEEhNrmF1oMNX0Bpvk2i9VvCkqk2OaRvtJ9RAu3xK8iw1VkD77AXGDmpsPYjaD0c+tzw22fJO/Bbe4fTYZPeklfBUWSr6npPgL2rYNpw6HSh3XdRhQb+HldB/0nH97s//E1oIqhboqKiyM/PZ+/evdx1113lg8pVdMYZZzBlyhT69Kn2ewPg+eefZ9KkSURE2P/co0eP5r333jvmiKae8vpxdTkhcws06mTrhnfOg9ICe3KLSfhtuZI8mPUneyV3/hSYMRa2zYabfmBOTnMWbsvkrxd0trdBOkpxvns5Ac2SKes+jt3v3kFuaQD7Y3owqmw2AaX5YAw5LUeSWq83XZY+SJo0Jt51kHUmkc85gwHBO0h2rGJPYEsGuFbyVtc3GLjpKdo7NnNZ4AvEF+3kpeB/EyxO1gZ2odOF9xDUcTS80AMKMyltOxrXle8Slr8H3h9vryRHPQ2fTYKgcJuIQqPtf/BOY+wV8r7V9oTVtAcMmExJ4ghCl78Ov7wKF02FVgOP//guewO+vse+HnQXnPO3E/ue9q2231VEA/j0FnuFerF7tF1nGWydDW1GwMLnYP7T0KgLXPupTQhNukFsK7ts4UFb5ZJQ5TddnAtPJ8KQe2HFW9D2bLjklSPjMAZ2L4bPJ8OhPbbEUHjQzhs3Azqeb/fZsMNvJYaSfNi3ChKHVP/ZcvfCs53tVfaGL2zSHP9+5d9fRd//BdZ+At3HQq/r7Hf46ST7/Zz3rxOr8y/OgQ+utsd58s+2RJK6DO5ZA2Exx17fQ5oI6pjDieBoPEkEiYmJLFu2jPj44+uh6aljHteCTCgrtFdEIZE1L1eTH5+ABf+C8R/a+tcF/7LTQ6LtSSt9oy3qZ22FQ7txSTDy4E7kuS5QnIOzUVf+m9GRDo4ttGtan2ajH2Tr+qW0W/pI+S4OmUicgWHEubLYHdaBFmP/xYHvn6Ng32Y2uloyKGAdroAQwiOi2DLmU2ZuKCYzv4SBreMY2w6iXkmGsx+HHx4HlwMz5kUOLZ2JZO/gs07Pc9awobRo4P7Pv+QVe6KYNB+adLXT0jfBf4baE2ZMAtzwHfz6H3uCatrDnky8VQdcWgDPdrKJ9K5Vv52QvcVRYquIul4G9Zod37qvjbQlkJzdtrTW7+aaly3KhkX/tiWFek2h+zio3+LE4377YlsVFhQGty22VWm17eAOmDrQ/k6M0/7mBt99UnehjcVe9sADD9CqVStuu+02AB599FFEhAULFpCdnU1ZWRlPPPEEF110UaX1UlJSuOCCC1i3bh1FRUVMnDiRDRs20KlTp0pjDU2ePJmlS5dSVFTE5ZdfzmOPPcaLL77I3r17GTFiBPHx8cydO7dSYnj22WeZPn06ADfddBP33HMPKSkpnHfeeQwZMoRFixbRvHlzvvjiC8LDw4//Q+9dZYvhGAiOsA15Ix6GmOaerV+QZU+cAF/dZRsPu14G/W+11R9f3wOBodC4CyamJe8W9Ofaso94d+rfuKY4BzpeQOCmr7nJrGd7cBLB6bspfvsKYpzBrA3qzHuusxjqWELu0EcYN3IA079bwuMLcmjzmWF0djx/DJpLYlgu+5qfQ8OxLxAaGEDP0Ch6dqwQozG2OmHp6+CywxDIjrnEZvwKfW9m4qhzK3+m/rfazxDV6LdpjTrC0Ptg3pO2Ljmmuf1PXhtCIuHsv9kSibeTANjqpUF3nti6ScNg4bP2ddUSQ1XhsTDyrye2n+r0GG8TwYg/+yYJgN3vBc/Blu+g+5W2nacWnX6J4JsHYf/ak7vNJt3gvKdqnD1u3Djuueee8kQwc+ZMvv32W+69917q1atHZmYmAwYM4MILL6zxWcCvvPIKERERrFmzhjVr1tCrV6/yeX//+99p0KABTqeTkSNHsmbNGu666y6effZZ5s6de0SJYPny5bzxxhv88ssvGGPo378/w4cOIZZcO9z1e+8dc7hrwF6d5KdXPrEdtvJd+x9/9L9sMXbtR/ZHfMWbkDTUXq3lpEKTrpQ4nOQWOWhYuM3epRHd1NY7lxXaao8vboeIOFyj/kVxSAyhE74hcPdCaNYLIhrw89ZM/vHf+VwV9innHJoJAudvOofY0m506NKLK0YO4NIXP+fT4L/QSA4RNfYN7ms+mM378xjd1h6b60cNZl3+atJzS2jdajis+4jAsnwS+l4IEfWq//wi9qS0eZZ932qwrT4wLmhXzcOCRKo/VsPusye6lid/eJFj6n197e/zRCQNtYkgMNRWLdWmbpfbaq82Z9bufqtKvsr++cDplwh8oGfPnqSnp7N3714yMjKIjY2ladOm3HvvvSxYsICAgADS0tI4cOAATZo0qXYbCxYs4K677gKge/fudO/evXzezJkzmTZtGg6Hg3379rFhw4ZK8ysxLhYuXMgll1xSPgrqpZdeyk/zfuDCIV1JatGM5IRwyNpG767tSdmxvfrtOErtnRafPw7XfHzkvHUf2zrZXtfZv4G324a598fZ4vVnk2HXQjZ2mMyklJHkF+SxLPRWAl1lENXYXqUmX42j+3i+25zD92khfP3kLzhdhsiQQHq2jOVPowLoHgHvLEkhNCIaadabRqm/UhgSR/cOPUmMH8JV/VsSHRbMjD9eTkRRLziwnIgOZxIBDGpbYUTXAOHZscn2TVEHWHeHbehrPeLoX27z3jYRNOxkGyF3/WxLQK0GH329igICT6yO35+0GGDvs2/awzbW1qaAQGh3du3us445/RLBUa7cvenyyy/n448/Zv/+/YwbN44ZM2aQkZHB8uXLCQ4OJjExsdrhpyuqrrSwc+dOpkyZwtKlS4mNjWXChAnVb6e00F7BZ6fYYamdpbYR6nBjk6MEEELDI4AAcDoIdBRQVFBkG9wiGtiqkKJse8tbYZa98t3+g+38cmC9rWpoOQC2fm+X6/7b/c9FMW0Jv/pjmDoApo+C3DSyY7vTafMrTIwoZXe9xgQWlrAqdhRRUkxOn3tJbzGK995cyk9bWzGoTRyTutQnJjyYfYeK+Hb9fi6duogBreNYvCOLm4YkERA6DFJ/JaLNYP5xWeVE2DIuAugKCV2P/WWF17cn9vBY+/poDt/S13LAb1f0ScOOvMtG/T4hETD8AYjzUdWMnzv9EoGPjBs3jptvvpnMzEzmz5/PzJkzadSoEcHBwcydO5ddu3Yddf1hw4YxY8YMRowYwbp161izZg0Aubm5REZGEhMTw4EDB/jmm28444wzgN+Gv46PEHsXBQZK8xk2qD8TJlzPgzdchIlrx2effcY7LzwOweH2FsCG7e1OoxpB8V44tAuKDgICJRWe7hYSZZPB3Cdh9fs2QYx9G356BiIblhel16bmcPmri7hxSBL3jfgLAd//mf0N+nJm5h/5JPRxJkYspLhZPwrXhnND9nUcKgHXXoB1hAQG8PRl3biyb+WOSH84pwP/mLWR9XtzObNjIyYOToKsYfDTlJNTxXLlu56dzBP62lsju1xsOxM1TYbkq3///tWRht/v6wj8liaCk6RLly7k5eXRvHlzmjZtytVXX82YMWPo06cPycnJdOzY8ajrT548mYkTJ9K9e3eSk5Pp168fAD169KBnz5506dKF1q1bM3jQoPJ1Jk2axHnnnk3T+FjmfvleeWenXklxTLhiDP3OvxYkgJtuvoWenZJIOVh53HUCgiG8ga2zL8jEuBxIveb27omyIgrSD5DboDv1Vrxl6/bDYuC9sTgCQljX92mSA4MwxvD3WRsoc7qYOm87X9Rrx5llE/hub1/q1Quh2dCJyA/3E56zBzqMZMW48ykuc7IzswBxP7ijuiF2Y8KDearKVT/RQ+z99CfjRBzf1rPlQqNsVddht8z//ftWqo7R20dPJYUH4dBue999UKitytm/1lbZNGhtGyszt9pOKAHB9gSfs9veu+4osj0vQ6Oq3XRmXjHpuUUkNowmIiSI4jInC5eu5pfv3uFhmc7OwU8zI60JvXe8wstlF7AjuB0//WkEq1MPccOby3hkTGe2HMhnxa5sbhvRhl4tY2kYHUqYIxemtLdVVYc7zCilap3ePnq6KD4EGNuLMSYBHMX2nuPw+r/dix7RwCaCyHj72lVmG2YloMbOLi5jyMgvxWGEXVmFtG0URUZeCSIww3km2fWS+OTHBOqHh1DYcwp3tIvnthkr+NvXG/h5exZJ8ZFc3b9V9WOsB8faW+E2fGE7Ciml6hxNBKcK47KdkMCWDKKb2g5DULkzV3isvec9It4mh+gmdr5x2WRQgcPlorjUSZnTUOZ00aReGOl5JWw5kIfLBREhQdw6oiPPzg7gouRm/OPSbkSE2J/MxcnN+XRlGtFhQcy4qf/RH7Qx8hFod47nfQyUUrXqtEkENQ3ne0ozxjbeOkpsQ69x2g5OBem2cbe00Db+BlZo9JQAe3tmBcUBETicLqIqbdqwO6uQ/BLbbhAaFEjD6FCiw4I4kFtCYamD6LAg7hjRlrM6NaZT0+hKx/fes9uTeqiIP5zdvnz8+RrFVRk4SylVp5wWiSAsLIysrCzi4uJOvWRQnGtHQXQ5bCNtgzYQGGRP8tk73aM2Yuv8cV/hl+bbWzoPj6R4lM9c5nSxI6MAp8vQrnEUhaVOcorKCA0KIL/EQVxkKKVOF3GRIYgI4SFBtIoLJCsri7yIcAIChM7Njuxw1aJBBDNv0XvjlTodnBaJICEhgdTUVDIyMnwdiuecZXb89JJ8e7dPUBiUHICg/Xb43JI829ElvL4tEZSk22VyttjkkHcAMLYq6EBJtbswxpCZX0qZ0z6l6mCaUOY0ILawERYcQHCULU2kZUBahXXDwsJISKhh4C2l1GnltEgEwcHBJCUl+ToMzx3cAS8Ps697jIdR/7BX9oefZiQBdlTK85+1jb5OB/z4uL1vv7X77qg5j9rRHifNg2Z2WmZ+CYu2Z1HqcHF+t6Z8sHQ3j321k2eu6EFmfgn/+GYTLRtE8Oltg1iWkk231g3Kn0CllPJfp0UiOOVs+8Fe1d/2ix2U7LDuY+0wuDEJlUdvDAw6cqCyEX+BdueWP2mr1OHiilcXszPTNiC//+tutuzPY2i7eC7t1ZxSp4ucojIu6dmc+KhQRnWtfqgLpZT/0UTgCyk/QUwLO256VS36ebaNwKBK49e8/+tudmYW8NyVPQC4/6M1BIjw+EVdERFCgwL506ijd2pTSvknryYCERkFvAAEAq8bY56qMj8GeBdo6Y5lijHmDW/G5HMuF+z8yQ5g9jsbto0xPDdnKxv35bIs5SADW8dxcXJzRISE2AgKShwkxZ/AcwKUUn7Fa4lARAKBl4GzgVRgqYh8aYzZUGGx24ENxpgxItIQ2CwiM4wxpd6Ky+fSN9hbP5OG/u5NTfl+My/P3U5CbDguAw+f36n8rqm+iQ1+9/aVUv7BmyWCfsA2Y8wOABH5ALgIqJgIDBAt9uwVBRwEHFU3dFrZucD+m3h8icAYw79/3MYnK1J5/bo+rNxziJfnbmd8vxY8eUm3U++2WaVUneHNRNAc2FPhfSrQv8oyLwFfAnuBaOBKY4zLizH53sav7LhAx/FoPZfL8IeZq/h81V5CAgOY8MZSMvJLGNw2jr+52wCUUupEHWVcgN+turNT1RHuzgVWAc2AZOAlETmi95KITBKRZSKy7JTqK1DVjvmwexH0m1TjIvO3ZJBTVAZAVn4JxWVO/rtwJ5+v2ssfzm7P+5MGkJFXQsOoUP49vhdBgd78CpVS/sCbJYJUoOJlbwL2yr+iicBTxg6Buk1EdgIdgV8rLmSMmQZMAzv6qNci9iZj7Lj+0c2g98RqF1mwJYPrp//KmB7N+L/zO3HmM3bI4+IyJ6O6NOHOM9siInx2+yAaRIbQIFL7ACilfj9vJoKlQDsRScJ2Wh0HVH0g525gJPCTiDQGOgA7vBiT72z/AfYsgfOfgeCwI2Y7nC7+9rVtPvl6zV4OFZZS4nAypkcz0nNLePqy7uVVQF2axdRq6Eqp05vXEoExxiEidwDfYW8fnW6MWS8it7rnvwr8DXhTRNZiq5IeMMZkeismnzEGfvw7xLSEntdVu8ibi1LYmp7P05d14/GvNvDT1kwmDErk0Qtr+UHeSim/49V+BMaYWcCsKtNerfB6L3CON2OoE7Z8C3tXwIX/rvbB3MtSDvLUN5s4q1MjxvZpwb6cYt5evIs7z/TwKVpKKfU7aM9ib0tZCF/eCbFJdlyhKhZuzeSeD1eSEBvOM2OTERHuHtmOW4e3ISw40AcBK6X8jSYCb0ldZgeF2/yNvV103IzyZwofNnXeNv757WZax0cy7bre5c/uFRFNAkqpWqOJwBty98I7l9jhpAfeDsPuh7DKd8Vu3p/Hs99v4byuTXjuymQ98SulfEYTgTfMut+OLnrLfFsaqKLE4eThz9YSHRbE3y/ppklAKeVTmghOpl2L4acpsG0OnPVYtUlgacpB/vTxGnZmFvDMFT20L4BSyuc0EZwsZUXw3pX22cIjHoaBdxyxyA8bDzB5xgqa1AvjrRv6Mbx9Qx8EqpRSlWkiOFk2z4KSHLjybWh9RqVZD3y8hk9WpOJwGbonxPDWxH7EaklAKVVHaCI4WVZ/CPWaHzGq6Lb0PD5ctoczOzZiYOs4xvVrQXRYcA0bUUqp2qeJ4GTIT7ftAoPutA+cr+DV+TsIDw5kirYHKKXqKB268kQdWA/zngJHKSx5BYwTeoyrtMi+nCI+X5nGuH4tNAkopeosLRGciJxU208g/wCkrbADyiVfDY06VVrsf2v24XAZJgxK9E2cSinlAS0RHC9HCbw/zt4l1PMa2PodhMfCOU8AsD+nmNd/2kGJw8mcjQfo2CSaVnH63GClVN2lJYLjtfA52L8Wxn9gH0DfoA206A8RDdiXU8S4aUvYlVVIfomDpSnZ3Dr8yL4ESilVl2giOB7pm2DBFOh2BXQ4z04b+gcACksdXPP6LxzML6VT03o8P2crACM7NfZVtEop5RFNBMdj8UsQFAbn/qN80uo9h3AZwwe/7mFHZgEzbuxPWEggl05dRHxUCMkJ9X0Xr1JKeUATgaecDttprMMoiLI9gg8VljL2P4spcbgAuH1EGwa1jQfgxiFJNKkXRkCAPlheKVW3aSLw1O7FUJgFncaUT/pkRRolDhcPndeRUoeLW89oUz7v/y7o7IsolVLquGki8NTGr2y1UNuzADDGMOOXXfRsWZ9bhrc5xspKKVV36e2jnnC5YNPXNgmE2FtBf9l5kB0ZBVzdv5WPg1NKqd9HE4Entv8IuWnQ5ZLySZ+vTCMqNIjzuzX1YWBKKfX7aSLwxK//gajG0OlCAMqcLr5dv5+zOjUiPEQfKqOUOrVpIjiWrO2wdTb0nghBdrygxduzOFRYxmgtDSilTgOaCI7l5+ftiKJ9JpZPmrV2H1GhQQzTB8sopU4DmgiOJuVnWPE29L8VopsAkJVfwjfr9jOyUyN91rBS6rSgiaAmTgd8dTfUbwUj/gzYW0b/9PEaisqcTD5DbxlVSp0eNBHUJHsnZG2FYfdBSCR5xWX85fN1/LApnYfO60jHJvV8HaFSSp0U2qGsJjl7ACiLSeL9xSm8+MM2sgpKmDg4UZ8voJQ6rWgiqElOKgBvrHPw5OL19EtqwH+v70OPFvV9G5dSSp1kmghqkpMGCN/uCaBvYiwfThqAiA4gp5Q6/WgbQU1yUjFRTVi7r4DerRpoElBKnbY0EdQkZw8F4U0ocxp6tqzv62iUUsprNBFUlLUdfpkGJXmQk0q62A5jPbVdQCl1GtM2gsPmPQXz3E8eM07ITWNHVB+a1w+nUb0w38amlFJepCUCgLIiWPyyHWY6piWs/wwcxazNi9JqIaXUac+riUBERonIZhHZJiIP1rDMGSKySkTWi8h8b8ZTo82zoCSXnF6TmV3SCfb8AsDGonr0aRXrk5CUUqq2eC0RiEgg8DJwHtAZGC8inassUx+YClxojOkCXOGteI5q9QdQL4HXdjfnq7x25ZMvP3Mg4/q19ElISilVW7xZIugHbDPG7DDGlAIfABdVWeYq4FNjzG4AY0y6F+OpXn46bPuBks6X8faS3YS3G14+65yBvXVgOaXUac+biaA5sKfC+1T3tIraA7EiMk9ElovIdV6Mp3or3gLj5HMznNxiB1ef1Q/iO9jnE0fE1Xo4SilV2zy6a0hEPgGmA98YY1webru6Hlimmv33BkYC4cBiEVlijNlSZf+TgEkALVuexKoaZxksnQ6tR/DOthB6twqne0J9SB4PaStAO5EppfyApyWCV7DVOFtF5CkR6ejBOqlAiwrvE4C91SzzrTGmwBiTCSwAelTdkDFmmjGmjzGmT8OGJ/FhMBu/gry95CffyPq9uQxr5972kHvhyndO3n6UUqoO8ygRGGPmGGOuBnoBKcBsEVkkIhNFJLiG1ZYC7UQkSURCgHHAl1WW+QIYKiJBIhIB9Ac2nsgHOW7G2FtG67diofTCGBjUVquClFL+x+M2AhGJAyYANwErgRewiWF2dcsbYxzAHcB32JP7TGPMehG5VURudS+zEfgWWAP8CrxujFl3wp/meGydDWnLYMi9LN6RTURIID0S6tfKrpVSqi7xtI3gU6Aj8A4wxhizzz3rQxFZVtN6xphZwKwq016t8v5fwL+OJ+jfzRiY+4R9+ljPa/h5wSL6JjYgJEj71yml/I+nQ0y8ZIz5sboZxpg+JzGe2rF7CexbDRe+RHqBk23p+VzRO8HXUSmllE94egncyd35CwARiRWR27wTUi04uN3+mziExTuyABjUJt6HASmllO94mghuNsYcOvzGGJMN3OyViGpDTpr9t14zFm3Lol5YEJ2b6TOIlVL+ydNEECAVnsziHj4ixDsh1YLcNIhsCEGhLNqRycA2cQQGaJ8BpZR/8jQRfAfMFJGRInIm8D72bp9TU24a1GvOnoOF7DlYpNVCSim/5mlj8QPALcBkbI/h74HXvRWU1+XuhdgkFm3PBGBQG+0/oJTyXx4lAvewEq+4/059OWmQOIRF27OIjwqlbaMoX0eklFI+42k/gnbAP7DDSZc/rssY09pLcXlPSR6U5GCim7FoZRaD2sTpg+mVUn7N0zaCN7ClAQcwAngb27ns1JNr+8IdII6MvBIG67ASSik/52kiCDfG/ACIMWaXMeZR4EzvheVFuakArMqJBLT/gFJKedpYXCwiAdjRR+8A0oBG3gvLi3LtAKgL0kNIiA2nRYMIHweklFK+5WmJ4B4gArgL+/yAa4DrvRSTd7k7k32/O0DvFlJKKTwoEbg7j401xtwP5AMTvR6VN+WmURbekMxsrRZSSinwIBEYY5wi0ltExBhT9Qljp47sFNi5ANJWkB9ia7W6NtdhJZRSytM2gpXAFyLyEVBweKIx5lOvROUNe1fCl3cCsK/xGAASYrV9QCmlPE0EDYAsKt8pZIBTJxG0OxfuXQ/AO7MziM/KIiw40MdBKaWU73nas/jUbhcACImwf8CeQ2kkxIb7OCCllKobPO1Z/Aa2BFCJMeaGkx5RLUjNLqRr8xhfh6GUUnWCp1VDX1d4HQZcAuw9+eF4n8tlSDtUxKiuTX0dilJK1QmeVg19UvG9iLwPzPFKRF6WnldCmdNo1ZBSSrmd6NPa2wEtT2YgtSU1uxBAE4FSSrl52kaQR+U2gv3YZxScclKziwC9dVQppQ7ztGoo2tuB1BYtESilVGUeVQ2JyCUiElPhfX0RudhrUXlRanYR8VGh2odAKaXcPG0jeMQYk3P4jTHmEPCIVyLystTsIi0NKKVUBZ4mguqW8/TW0zolI6+ERtGhvg5DKaXqDE8TwTIReVZE2ohIaxF5DljuzcC8paDUQVToKZnDlFLKKzxNBHcCpcCHwEygCLjdW0F5U2Gpk4hQbR9QSqnDPL1rqAB40Mux1IqCEgeRWiJQSqlynt41NFtE6ld4Hysi33ktKi9xOF2UOFxEhmgiUEqpwzytGop33ykEgDEmm1PwmcUFpU4AIkK0akgppQ7zNBG4RKR8SAkRSaSa0UjrusJSB4BWDSmlVAWenhEfBhaKyHz3+2HAJO+E5D0FJVoiUEqpqjxtLP5WRPpgT/6rgC+wdw6dUspLBNpGoJRS5TwddO4m4G4gAZsIBgCLqfzoyjqvvESgt48qpVQ5T9sI7gb6AruMMSOAnkDGsVYSkVEisllEtolIjbefikhfEXGKyOUexnNCDpcItEOZUkr9xtNEUGyMKQYQkVBjzCagw9FWEJFA4GXgPKAzMF5EOtew3NOA129HzS+xiSBCq4aUUqqcp4kg1d2P4HNgtoh8wbEfVdkP2GaM2WGMKQU+AC6qZrk7gU+AdA9jOWGF7ttHI7VqSCmlynnaWHyJ++WjIjIXiAG+PcZqzYE9Fd6nAv0rLiAizbHPPz4TW/VULRGZhPsupZYtT/zBaAVaIlBKqSMc9xnRGDP/2EsBINWtXuX988ADxhinSHWLl+9zGjANoE+fPifcf6FQO5QppdQRvHlpnAq0qPA+gSOrk/oAH7iTQDwwWkQcxpjPvRFQQamDkKAAggNP9FHNSil1+vFmIlgKtBORJCANGAdcVXEBY0zS4dci8ibwtbeSAEBhiZNILQ0opVQlXksExhiHiNyBvRsoEJhujFkvIre657/qrX3XpKBURx5VSqmqvHpWNMbMAmZVmVZtAjDGTPBmLOAeglobipVSqhK/qizXh9IopdSR/CoRaIlAKaWO5FeJoLDUqbeOKqVUFX6VCLSxWCmljuRXiaCwREsESilVlV8lgoJSh448qpRSVfhNInA4XRSXuXScIaWUqsJvEkFhmY48qpRS1fGfRFD+vGItESilVEV+kwgKDj+vWEsESilVid8kAi0RKKVU9fwmEZSXCPT2UaWUqsR/EkHJ4aohLREopVRF/pMI9HnFSilVLb+5PD63S2OWPDSSuKgQX4eilFJ1it8kgtCgQJrEaGlAKaWq8puqIaWUUtXTRKCUUn5OE4FSSvk5TQRKKeXnNBEopZSf00SglFJ+ThOBUkr5OU0ESinl5zQRKKWUn9NEoJRSfk4TgVJK+TlNBEop5ec0ESillJ/TRKCUUn5OE4FSSvk5TQRKKeXnNBEopZSf00SglFJ+zquJQERGichmEdkmIg9WM/9qEVnj/lskIj28GY9SSqkjeS0RiEgg8DJwHtAZGC8inassthMYbozpDvwNmOateJRSSlXPmyWCfsA2Y8wOY0wp8AFwUcUFjDGLjDHZ7rdLgAQvxqOUUqoa3kwEzYE9Fd6nuqfV5Ebgm+pmiMgkEVkmIssyMjJOYohKKaW8mQikmmmm2gVFRmATwQPVzTfGTDPG9DHG9GnYsOFJDFEppVSQF7edCrSo8D4B2Ft1IRHpDrwOnGeMyfJiPEopparhzRLBUqCdiCSJSAgwDviy4gIi0hL4FLjWGLPFi7EopZSqgddKBMYYh4jcAXwHBALTjTHrReRW9/xXgb8CccBUEQFwGGP6eCsmpZRSRxJjqq22r7P69Oljli1b5uswlFLqlCIiy2u60NaexUop5ec0ESillJ/TRKCUUn5OE4FSSvk5TQRKKeXnNBEopZSf00SglFJ+ThOBUkr5OU0ESinl5zQRKKWUn9NEoJRSfk4TgVJK+TlNBEop5ec0ESillJ/TRKCUUn5OE4FSSvk5TQRKKeXnNBEopZSf00SglFJ+ThOBUkr5OU0ESinl5zQRKKWUn9NEoJRSfk4TgVJK+TlNBEop5ec0ESillJ/TRKCUUn5OE4FSSvk5TQRKKeXnNBEopZSf00SglFJ+ThOBUkr5OU0ESinl5zQRKKWUn/NqIhCRUSKyWUS2iciD1cwXEXnRPX+NiPTyZjxKKaWO5LVEICKBwMvAeUBnYLyIdK6y2HlAO/ffJOAVb8WjlFKqet4sEfQDthljdhhjSoEPgIuqLHMR8LaxlgD1RaSpF2NSSilVRZAXt90c2FPhfSrQ34NlmgP7Ki4kIpOwJQaAfBHZfIIxxQOZJ7iut9XV2DSu41NX44K6G5vGdXxONK5WNc3wZiKQaqaZE1gGY8w0YNrvDkhkmTGmz+/djjfU1dg0ruNTV+OCuhubxnV8vBGXN6uGUoEWFd4nAHtPYBmllFJe5M1EsBRoJyJJIhICjAO+rLLMl8B17ruHBgA5xph9VTeklFLKe7xWNWSMcYjIHcB3QCAw3RizXkRudc9/FZgFjAa2AYXARG/F4/a7q5e8qK7GpnEdn7oaF9Td2DSu43PS4xJjjqiSV0op5Ue0Z7FSSvk5TQRKKeXn/CYRHGu4i1qMo4WIzBWRjSKyXkTudk9/VETSRGSV+2+0D2JLEZG17v0vc09rICKzRWSr+99YH8TVocJxWSUiuSJyjy+OmYhMF5F0EVlXYVqNx0hEHnL/5jaLyLm1HNe/RGSTe/iWz0Skvnt6oogUVThur9ZyXDV+b7V1vI4S24cV4koRkVXu6bVyzI5yfvDub8wYc9r/YRurtwOtgRBgNdDZR7E0BXq5X0cDW7BDcDwK3Ofj45QCxFeZ9k/gQffrB4Gn68B3uR/bOabWjxkwDOgFrDvWMXJ/r6uBUCDJ/RsMrMW4zgGC3K+frhBXYsXlfHC8qv3eavN41RRblfnPAH+tzWN2lPODV39j/lIi8GS4i1phjNlnjFnhfp0HbMT2pq6rLgLecr9+C7jYd6EAMBLYbozZ5YudG2MWAAerTK7pGF0EfGCMKTHG7MTeHdevtuIyxnxvjHG43y7B9tOpVTUcr5rU2vE6VmwiIsBY4H1v7b+GmGo6P3j1N+YviaCmoSx8SkQSgZ7AL+5Jd7iL8dN9UQWD7dX9vYgsdw/rAdDYuPt2uP9t5IO4KhpH5f+cvj5mUPMxqku/uxuAbyq8TxKRlSIyX0SG+iCe6r63unS8hgIHjDFbK0yr1WNW5fzg1d+YvyQCj4ayqE0iEgV8AtxjjMnFjrzaBkjGjrX0jA/CGmyM6YUdFfZ2ERnmgxhqJLZj4oXAR+5JdeGYHU2d+N2JyMOAA5jhnrQPaGmM6Qn8AXhPROrVYkg1fW914ni5jafyBUetHrNqzg81LlrNtOM+Zv6SCOrUUBYiEoz9kmcYYz4FMMYcMMY4jTEu4DW8WCSuiTFmr/vfdOAzdwwHxD0irPvf9NqOq4LzgBXGmANQN46ZW03HyOe/OxG5HrgAuNq4K5Xd1QhZ7tfLsfXK7WsrpqN8bz4/XgAiEgRcCnx4eFptHrPqzg94+TfmL4nAk+EuaoW77vG/wEZjzLMVplccfvsSYF3Vdb0cV6SIRB9+jW1oXIc9Tte7F7se+KI246qi0lWar49ZBTUdoy+BcSISKiJJ2Odu/FpbQYnIKOAB4EJjTGGF6Q3FPi8EEWntjmtHLcZV0/fm0+NVwVnAJmNM6uEJtXXMajo/4O3fmLdbwevKH3Yoiy3YTP6wD+MYgi26rQFWuf9GA+8Aa93TvwSa1nJcrbF3H6wG1h8+RkAc8AOw1f1vAx8dtwggC4ipMK3Wjxk2Ee0DyrBXYzce7RgBD7t/c5uB82o5rm3Y+uPDv7NX3cte5v6OVwMrgDG1HFeN31ttHa+aYnNPfxO4tcqytXLMjnJ+8OpvTIeYUEopP+cvVUNKKaVqoIlAKaX8nCYCpZTyc5oIlFLKz2kiUEopP6eJQKlaJCJniMjXvo5DqYo0ESillJ/TRKBUNUTkGhH51T32/H9EJFBE8kXkGRFZISI/iEhD97LJIrJEfhv3P9Y9va2IzBGR1e512rg3HyUiH4t9VsAMd29SpXxGE4FSVYhIJ+BK7CB8yYATuBqIxI511AuYDzziXuVt4AFjTHdsj9nD02cALxtjegCDsL1YwY4oeQ92LPnWwGAvfySljirI1wEoVQeNBHoDS90X6+HYQb5c/DYQ2bvApyISA9Q3xsx3T38L+Mg9blNzY8xnAMaYYgD39n417nFs3E/ASgQWev1TKVUDTQRKHUmAt4wxD1WaKPJ/VZY72vgsR6vuKanw2on+P1Q+plVDSh3pB+ByEWkE5c+LbYX9/3K5e5mrgIXGmBwgu8KDSq4F5hs7hnyqiFzs3kaoiETU5odQylN6JaJUFcaYDSLyF+zT2gKwo1PeDhQAXURkOZCDbUcAOyzwq+4T/Q5gonv6tcB/RORx9zauqMWPoZTHdPRRpTwkIvnGmChfx6HUyaZVQ0op5ee0RKCUUn5OSwRKKeXnNBEopZSf00SglFJ+ThOBUkr5OU0ESinl5/4f/DwYdH5Db9EAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
@@ -671,7 +927,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
diff --git a/notebooks/spectral_classifier_gold/download_fits_gold.ipynb b/notebooks/spectral_classifier_gold/download_fits_gold.ipynb
index 9956f283b371ace642504e6d8cf112132ffb7b89..52c6417eaeeaaa6f58e3137c86b46fc3e9d1c35c 100644
--- a/notebooks/spectral_classifier_gold/download_fits_gold.ipynb
+++ b/notebooks/spectral_classifier_gold/download_fits_gold.ipynb
@@ -79,13 +79,6 @@
" f.write(r.content)\n",
" \n"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
diff --git a/notebooks/spectral_classifier_gold/spectral_classifier_from_npy.ipynb b/notebooks/spectral_classifier_gold/spectral_classifier_from_npy.ipynb
index eaac14a0caf0ef906292971c9697ced0312ebb80..bb214b7678de315ad434fa88a93f6d4751f6c6df 100644
--- a/notebooks/spectral_classifier_gold/spectral_classifier_from_npy.ipynb
+++ b/notebooks/spectral_classifier_gold/spectral_classifier_from_npy.ipynb
@@ -551,13 +551,7 @@
"17/17 [==============================] - 1s 63ms/step - loss: 0.3717 - accuracy: 0.8438 - val_loss: 0.3327 - val_accuracy: 0.8833\n",
"Epoch 57/200\n",
"17/17 [==============================] - 1s 62ms/step - loss: 0.3572 - accuracy: 0.8519 - val_loss: 0.3290 - val_accuracy: 0.8833\n",
- "Epoch 58/200\n"
- ]
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
+ "Epoch 58/200\n",
"17/17 [==============================] - 1s 56ms/step - loss: 0.3486 - accuracy: 0.8648 - val_loss: 0.3369 - val_accuracy: 0.8806\n",
"Epoch 59/200\n",
"17/17 [==============================] - 1s 55ms/step - loss: 0.3481 - accuracy: 0.8574 - val_loss: 0.3293 - val_accuracy: 0.8750\n",
diff --git a/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/download_fits_gold-checkpoint.ipynb b/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/download_fits_gold-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..52c6417eaeeaaa6f58e3137c86b46fc3e9d1c35c
--- /dev/null
+++ b/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/download_fits_gold-checkpoint.ipynb
@@ -0,0 +1,105 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import sys\n",
+ "import os\n",
+ "import subprocess\n",
+ "import astropy.io.fits as pyfits\n",
+ "\n",
+ "sdss_path = 'https://data.sdss.org/sas/dr16/sdss/spectro/redux/26/spectra/'\n",
+ "boss_path = 'https://data.sdss3.org/sas/dr12/boss/spectro/redux/v5_7_0/spectra/'\n",
+ "\n",
+ "from astroquery.sdss import SDSS\n",
+ "from astropy.coordinates import SkyCoord # High-level coordinates\n",
+ "from astropy.coordinates import ICRS\n",
+ "import astropy.units as u\n",
+ "import requests\n",
+ "\n",
+ "########## Input ##########\n",
+ "\n",
+ "target_directory = 'F:\\data\\spectral_fits_gold\\\\'\n",
+ "class_names = ['star','galaxy', 'QSO', 'AGN'] \n",
+ "\n",
+ "## Queries für star, galaxy, quasar und AGN\n",
+ "query1 = \"SELECT top 1100 plate, mjd, min(fiberid) as fiberid, class FROM SpecObj WHERE class = 'star' AND zWarning = 0 GROUP BY plate, mjd, class ORDER BY plate, mjd, class\"\n",
+ "query2 = \"SELECT top 1100 plate, mjd, min(fiberid) as fiberid, class FROM SpecObj WHERE class = 'galaxy' AND subClass != 'AGN' AND zWarning = 0 GROUP BY plate, mjd, class ORDER BY plate, mjd, class\"\n",
+ "query3 = \"SELECT top 1100 plate, mjd, min(fiberid) as fiberid, class FROM SpecObj WHERE class = 'QSO' AND subClass != 'AGN' AND zWarning = 0 GROUP BY plate, mjd, class ORDER BY plate, mjd, class\"\n",
+ "query4 = \"SELECT top 1100 plate, mjd, min(fiberid) as fiberid, class FROM SpecObj WHERE subClass = 'AGN' AND zWarning = 0 GROUP BY plate, mjd, class ORDER BY plate, mjd, class\"\n",
+ "\n",
+ "########## Program ##########\n",
+ "\n",
+ "queries = [query1, query2, query3, query4]\n",
+ "\n",
+ "for i in range(4):\n",
+ "\n",
+ " sdss = SDSS.query_sql(queries[i])\n",
+ "\n",
+ " speclist = open('speclist.txt', 'w')\n",
+ "\n",
+ " for plate, mjd, fiberid in zip(sdss['plate'],sdss['mjd'],sdss['fiberid']):\n",
+ "\n",
+ " speclist.write(\"%04d/spec-%04d-%d-%04d.fits \\n\" %(plate, plate, mjd, fiberid))\n",
+ "\n",
+ " speclist.close()\n",
+ "\n",
+ " with open('speclist.txt', 'r') as f:\n",
+ "\n",
+ " names = f.readlines()\n",
+ "\n",
+ " for item in names:\n",
+ "\n",
+ " name = item[:-2]\n",
+ " url = sdss_path + name\n",
+ " r = requests.get(url)\n",
+ "\n",
+ " target_file = target_directory + class_names[i] + '\\\\' + name[5:]\n",
+ "\n",
+ " with open(target_file,'wb') as f:\n",
+ "\n",
+ " f.write(r.content)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import requests\n",
+ "url = \"https://data.sdss.org/sas/dr16/eboss/spectro/redux/v5_13_0/platelist.fits\"\n",
+ "r = requests.get(url)\n",
+ "\n",
+ "with open(\"platelist.fits\",'wb') as f:\n",
+ " f.write(r.content)\n",
+ " \n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/download_fits_gold_big-checkpoint.ipynb b/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/download_fits_gold_big-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..e40fb8817ab71ba78d47efecdbc95e8bc96bef59
--- /dev/null
+++ b/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/download_fits_gold_big-checkpoint.ipynb
@@ -0,0 +1,114 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\Josh\\anaconda3\\lib\\site-packages\\astroquery\\sdss\\core.py:862: VisibleDeprecationWarning: Reading unicode strings without specifying the encoding argument is deprecated. Set the encoding, use None for the system default.\n",
+ " arr = np.atleast_1d(np.genfromtxt(io.BytesIO(response.content),\n"
+ ]
+ }
+ ],
+ "source": [
+ "import numpy as np\n",
+ "import sys\n",
+ "import os\n",
+ "import subprocess\n",
+ "import astropy.io.fits as pyfits\n",
+ "\n",
+ "sdss_path = 'https://data.sdss.org/sas/dr16/sdss/spectro/redux/26/spectra/'\n",
+ "boss_path = 'https://data.sdss3.org/sas/dr12/boss/spectro/redux/v5_7_0/spectra/'\n",
+ "\n",
+ "from astroquery.sdss import SDSS\n",
+ "from astropy.coordinates import SkyCoord # High-level coordinates\n",
+ "from astropy.coordinates import ICRS\n",
+ "import astropy.units as u\n",
+ "import requests\n",
+ "\n",
+ "########## Input ##########\n",
+ "\n",
+ "target_directory = 'F:\\data\\spectral_fits_gold_big\\\\'\n",
+ "class_names = ['star','galaxy', 'QSO', 'AGN'] \n",
+ "\n",
+ "## Queries für star, galaxy, quasar und AGN\n",
+ "query1 = \"SELECT top 3000 plate, mjd, fiberid, class FROM SpecObj WHERE class = 'star' AND zWarning = 0\"\n",
+ "query2 = \"SELECT top 3000 plate, mjd, fiberid, class FROM SpecObj WHERE class = 'galaxy' AND subClass != 'AGN' AND zWarning = 0\"\n",
+ "query3 = \"SELECT top 3000 plate, mjd, fiberid, class FROM SpecObj WHERE class = 'QSO' AND subClass != 'AGN' AND zWarning = 0\"\n",
+ "query4 = \"SELECT top 3000 plate, mjd, fiberid, class FROM SpecObj WHERE subClass = 'AGN' AND zWarning = 0\"\n",
+ "\n",
+ "########## Program ##########\n",
+ "\n",
+ "queries = [query1, query2, query3, query4]\n",
+ "\n",
+ "for i in [0]:\n",
+ "\n",
+ " sdss = SDSS.query_sql(queries[i])\n",
+ "\n",
+ " speclist = open('speclist.txt', 'w')\n",
+ "\n",
+ " for plate, mjd, fiberid in zip(sdss['plate'],sdss['mjd'],sdss['fiberid']):\n",
+ "\n",
+ " speclist.write(\"%04d/spec-%04d-%d-%04d.fits \\n\" %(plate, plate, mjd, fiberid))\n",
+ "\n",
+ " speclist.close()\n",
+ "\n",
+ " with open('speclist.txt', 'r') as f:\n",
+ "\n",
+ " names = f.readlines()\n",
+ "\n",
+ " for item in names:\n",
+ "\n",
+ " name = item[:-2]\n",
+ " url = sdss_path + name\n",
+ " r = requests.get(url)\n",
+ "\n",
+ " target_file = target_directory + class_names[i] + '\\\\' + name[5:]\n",
+ "\n",
+ " with open(target_file,'wb') as f:\n",
+ "\n",
+ " f.write(r.content)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import requests\n",
+ "url = \"https://data.sdss.org/sas/dr16/eboss/spectro/redux/v5_13_0/platelist.fits\"\n",
+ "r = requests.get(url)\n",
+ "\n",
+ "with open(\"platelist.fits\",'wb') as f:\n",
+ " f.write(r.content)\n",
+ " \n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/fits_to_npy-checkpoint.ipynb b/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/fits_to_npy-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..0259c1a970d69e7cfb0bda6e86514a595c29c81a
--- /dev/null
+++ b/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/fits_to_npy-checkpoint.ipynb
@@ -0,0 +1,180 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "6e2b226d",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Länge der Liste wavelength ist: 3267\n",
+ "Länge der Liste wavelength ist: 2690\n",
+ "Länge der Liste wavelength ist: 3483\n",
+ "Länge der Liste wavelength ist: 3521\n",
+ "0.4% waren nicht erfolgreich bei der Klasse:AGN\n",
+ "Länge der Liste wavelength ist: 3521\n",
+ "Länge der Liste wavelength ist: 3502\n",
+ "Länge der Liste wavelength ist: 3511\n",
+ "Länge der Liste wavelength ist: 3521\n",
+ "Länge der Liste wavelength ist: 3493\n",
+ "Länge der Liste wavelength ist: 3519\n",
+ "Länge der Liste wavelength ist: 3506\n",
+ "Länge der Liste wavelength ist: 3477\n",
+ "Länge der Liste wavelength ist: 3487\n",
+ "Länge der Liste wavelength ist: 3486\n",
+ "Länge der Liste wavelength ist: 3503\n",
+ "Länge der Liste wavelength ist: 3470\n",
+ "Länge der Liste wavelength ist: 3513\n",
+ "Länge der Liste wavelength ist: 3503\n",
+ "Länge der Liste wavelength ist: 3470\n",
+ "Länge der Liste wavelength ist: 3503\n",
+ "Länge der Liste wavelength ist: 3467\n",
+ "Länge der Liste wavelength ist: 3469\n",
+ "Länge der Liste wavelength ist: 3494\n",
+ "Länge der Liste wavelength ist: 3461\n",
+ "Länge der Liste wavelength ist: 3423\n",
+ "Länge der Liste wavelength ist: 3507\n",
+ "Länge der Liste wavelength ist: 3433\n",
+ "Länge der Liste wavelength ist: 3487\n",
+ "Länge der Liste wavelength ist: 3484\n",
+ "Länge der Liste wavelength ist: 3470\n",
+ "Länge der Liste wavelength ist: 3469\n",
+ "Länge der Liste wavelength ist: 3447\n",
+ "Länge der Liste wavelength ist: 3447\n",
+ "Länge der Liste wavelength ist: 3511\n",
+ "Länge der Liste wavelength ist: 3519\n",
+ "3.1% waren nicht erfolgreich bei der Klasse:galaxy\n",
+ "Länge der Liste wavelength ist: 3516\n",
+ "0.1% waren nicht erfolgreich bei der Klasse:QSO\n",
+ "Länge der Liste wavelength ist: 3461\n",
+ "Länge der Liste wavelength ist: 3472\n",
+ "Länge der Liste wavelength ist: 3475\n",
+ "Länge der Liste wavelength ist: 3468\n",
+ "Länge der Liste wavelength ist: 3444\n",
+ "Länge der Liste wavelength ist: 3469\n",
+ "Länge der Liste wavelength ist: 3459\n",
+ "Länge der Liste wavelength ist: 3424\n",
+ "Länge der Liste wavelength ist: 3431\n",
+ "Länge der Liste wavelength ist: 3521\n",
+ "Länge der Liste wavelength ist: 3441\n",
+ "Länge der Liste wavelength ist: 3515\n",
+ "1.2% waren nicht erfolgreich bei der Klasse:star\n"
+ ]
+ }
+ ],
+ "source": [
+ "import numpy as np\n",
+ "from astropy.io import fits\n",
+ "import matplotlib.pyplot as plt\n",
+ "from astropy.wcs import WCS\n",
+ "import os\n",
+ "import csv\n",
+ "\n",
+ "########## Input ##########\n",
+ "\n",
+ "fits_path = 'F:\\\\data\\\\spectral_fits_gold\\\\'\n",
+ "\n",
+ "samples_per_class = 1000\n",
+ "\n",
+ "smallest_wavelength = 4000 # in Angström\n",
+ "biggest_wavelength = 9000 \n",
+ "\n",
+ "########## Program ##########\n",
+ "\n",
+ "all_flux = []\n",
+ "filenames = []\n",
+ "\n",
+ "for directory in os.listdir(fits_path):\n",
+ " \n",
+ " count_failed=0\n",
+ " count_added=0\n",
+ " \n",
+ " for filename in os.listdir(fits_path + directory + '\\\\'):\n",
+ " \n",
+ " path = fits_path + '\\\\' + directory + '\\\\' + filename\n",
+ " \n",
+ " # fits-Dateien öffnen und wavelength + flux einlesen\n",
+ " hdul = fits.open(path)\n",
+ " data = hdul[1].data\n",
+ " flux = data['flux']\n",
+ " wavelength = 10**data['loglam']\n",
+ " hdul.close()\n",
+ " \n",
+ " # first und last Index finden\n",
+ " for i in range(len(wavelength)):\n",
+ " if wavelength[i]>smallest_wavelength:\n",
+ " first_index = i\n",
+ " break\n",
+ "\n",
+ " for i in range(len(wavelength)):\n",
+ " if wavelength[i]>biggest_wavelength:\n",
+ " last_index = i\n",
+ " break\n",
+ "\n",
+ " # wavenlength und flux Listen schneiden\n",
+ " wavelength = wavelength[first_index:last_index]\n",
+ " flux = flux[first_index:last_index]\n",
+ " \n",
+ " if len(wavelength) == 3522 and count_added < samples_per_class:\n",
+ " all_flux.append(flux)\n",
+ " filenames.append(filename)\n",
+ " count_added += 1 \n",
+ "\n",
+ " if len(wavelength) != 3522:\n",
+ " print(\"Länge der Liste wavelength ist: \" + str(len(wavelength)))\n",
+ " count_failed += 1 \n",
+ " \n",
+ " print(str(count_failed/1000*100) + \"% waren nicht erfolgreich bei der Klasse:\" + directory)\n",
+ "\n",
+ "# Numpy Arrays mit Daten füllen\n",
+ "data = np.array(all_flux)\n",
+ "\n",
+ "labels = np.zeros(shape=(4000,), dtype='int')\n",
+ "for i in range(4):\n",
+ " for t in range(samples_per_class):\n",
+ " labels[i*1000+t] = i\n",
+ " \n",
+ "wavelengths = np.array(wavelength)\n",
+ "filenames = np.array(filenames)\n",
+ "\n",
+ "# Numpy arrays in .npy Dateien speichern\n",
+ "np.save(fits_path + \"data.npy\", data)\n",
+ "np.save(fits_path + \"labels.npy\", labels)\n",
+ "np.save(fits_path + \"wavelengths.npy\", wavelengths)\n",
+ "np.save(fits_path + \"filenames.npy\", filenames)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "85504e55",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/spectral_classifier_from_npy-checkpoint.ipynb b/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/spectral_classifier_from_npy-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..bb214b7678de315ad434fa88a93f6d4751f6c6df
--- /dev/null
+++ b/notebooks/spectral_classifier_gold_big/.ipynb_checkpoints/spectral_classifier_from_npy-checkpoint.ipynb
@@ -0,0 +1,1830 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 1) Daten aus CSV-Datei auslesen"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "from astropy.io import fits\n",
+ "import numpy as np\n",
+ "import os\n",
+ "import csv\n",
+ "import tensorflow as tf\n",
+ "\n",
+ "########## Input ##########\n",
+ "\n",
+ "fits_path = 'F:\\\\data\\\\spectral_fits_gold\\\\'\n",
+ "samples_per_class = 1000\n",
+ "\n",
+ "########## Program ##########\n",
+ "\n",
+ "# Listen mit den flux Werten, Labels und Wellenlängen erstellen\n",
+ "data = np.load(fits_path + \"data.npy\")\n",
+ "labels = np.load(fits_path + \"labels.npy\")\n",
+ "wavelengths = np.load(fits_path + \"wavelengths.npy\")\n",
+ "\n",
+ "# Liste die Galaxie-Nummer speichert\n",
+ "numbers = range(4*samples_per_class)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 2) Normierung"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'np' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_4564/172449373.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mmedian_limit\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m3\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mdata_normalized\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m4000\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m3522\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;31m# Normierungs-Test: median normalization\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mNameError\u001b[0m: name 'np' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "median_limit = 3\n",
+ "data_normalized = np.zeros(shape=(4000,3522))\n",
+ "\n",
+ "# Normierungs-Test: median normalization\n",
+ "for i in range(len(data)):\n",
+ " \n",
+ " # median normalization\n",
+ " sorted = np.sort(data[i])\n",
+ " median = 0.5* (data[i][1760] + data[i][1761])\n",
+ " data_normalized[i] = data[i]/median\n",
+ " print(median)\n",
+ " \n",
+ " # No bigger value than 2x median\n",
+ " for t in range(len(data_normalized[i])):\n",
+ " if data_normalized[i][t] >= median_limit:\n",
+ " data_normalized[i][t] = median_limit\n",
+ " print(\"Datensatz \" + str(i) + \" oben abgeschnitten\")\n",
+ " elif data_normalized[i][t] <=-median_limit:\n",
+ " data_normalized[i][t] = -median_limit\n",
+ " print(\"Datensatz \" + str(i) + \" unten abgeschnitten\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**Ohne Normierung**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 114,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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HlC+7/8SvfCvWmTCE0+aAqq4AVpTRtdsC24FXRaQ7MA8YDaSr6mb3eptFpHGwk0VkFDAKID09nezs7IgSceDAgYjPraiiked9ew8DMH/+Ag7mJId0zpJtuQDs2LEz6t9BZf2efVuDvv12Oqkpid3mUFm/52jkOazgEIVr9wJuVtUfRORJwqhCUtXxwHiAzMxMzcrKiigR2dnZRHpuRRWNPD+17DvYu4fuPXrQv21aSOccX7YV5s+lYcM0srL6lGl6/FXW7xkOet+fPGgQtatViVl6ykNl/Z6jkedw2hzK2kZgo6r+4L7/ACdYbBWRpgDu720xSp8Jg6cXjFVdxC+r8jPhiFlwUNUtwAYR6eBuGgYsAz4DrnK3XYVN9FchFAyCC/9ciyflI9+igwlDidVKIrIL+Ah4G5imkQyBLdrNwFvueIm1wDU4Aes9EbkOWA9cXIbXM1FmN/r4lWdfjglDKG0O24GFwAPAf0XkA+BtVf2+tBdX1YVAZpBdw0r72aZ8ebqyRlKtZOOyosP/Oc5KDiYcoVQrHVTVZ1R1IM70Gb8Cz4nIWhEp7TgHkyA8U3Zbm0P88P8mLDaYcIQSHAqGN6muV9VHVbUXcCa2drTxE8n9x+JJdPgHA6tWMuEIpVrpm2AbVXUlcH/ZJsdUWN41pO0GFC8CSg5WdDBhKLHkoKq3lUdCTMXzwrdrGDhuGlBQvMyPYLYta3OIDv84bVV+Jhyl6soqIveWVUJMxTPuqxX8uscZGV2aBmkTHQHVSlZyMGEo7TiH68skFSaqjhzP477PlrL38PGoX8tuP/EjsEHavh0TulDGOewrahdQvWyTY6Lhw/kbeW1WDgD3ndu5zD9fVb29lazNIX74FxSs4GDCEUqD9B6gj6pu9d8hIhvKPEWmzHkaIo/nlWr5jSLl+tx17AYUP/zjtFUrmXCEUq30X6B1Efv+V4ZpMdES5Rbf3Dz1VllYwSF++D8KWHAw4Six5KCq9xSzz9ZZqAC88x5F6fOP5+d7g4LVa8cP/6/CvhoTjogapEXkvjJOh4kiCXMMwvtzNzBlWUAtYpFy8xR1Q48Fh/jh/13YIDgTjkh7K51bpqkwpZaXr0VWG6zZ5szpf/hYXkif9dcPFnP9f+eGfO3jefnetga7/8QP/6/CqpVMOCINDjZsKY6oKu3u+pJ2d33JkeOBAeCV79YBsGjj3hI/K5Lurk5wcNscolB5dcFz33H966EHK+MI7K1kwcGELtKV4HqXaSpMqazedsD7+v7PlzHwhDQOH8vjgp7NeW/uRu++KskF3U3Xbj9A20a1AGccxMINe7h0fOgT7R7NLQhCToO08zqSEdLFueqVH1mwfo97nXxSkmO5PlXFEjBC2koOJgwhBQcROR04H2iOU1rdJCKfqurEKKbNhMi3K+nmvYf58/8WAE71UFrNqt59SW7jw8xfc7lm0re8dX0/Bp7QkLEf/cTHC34N+NyDR3OpmRr8n8gjX630uX6+tz2jLJ9O8/OVb3/e7n0/a81OBp/YqMw+P9EFVCtZycGEocTHMBF5AhgNfAs8CvzLfX2Lu+6ziSO5eYVvADsPHvO+rpmawrJN+1izx3m8n/fLbjLGTAgaGAA6/31SofeHjuUyZdlWtu8/6q2qAjh8zLdaqXSO5+WTMWYCj3/9c8DNzOrMwxNQrRSdYS4mQYVScjhLVU/03ygi7wI/4wQOU848VQRt7/qy0PaZq3cUec68X3Zz1lMzvO//8/XPJV7HtyrnxjfnM93nSd7jnGdmUr+Gs3B9aUdIH8t17mBPTl3Fk1NXFdoXbxP0qSobdh2mVVqNWCclqB825xZ6b20OJhyhVOAeEZG+Qbb3AY6UcXpMiNre9SW9/vl11K9zNLfgcXPmqsDA4LH7kNOQXdqH++JOf/HbtYWCzzs/rmeTO/FftBw+lldkL683f1jP4H99w8INe6Kahkh9vLpw5wKrVjLhCCU4XA08LSLLRGSy+7MceNrdV+nl5SuPTV7Jbp8qnEjsP3Lc++RclEPHchn0iDNN9p5D0Z9Iz7ckEsqNf9OewyzasIdt+4+gqqzaup+MMRP4ZsW2kK6Xl1f0RWav3cm6HU633F0HjzHmo5+4zqcX066Dx0JqdM3PV854Yjp/fHMeb8zOAeCDeRsZ8PDUgPO73z+ZbvdPCvIpMP+X3QCs8ekQEC+CleCsQdqEI5QR0vOBfiLSBKdBWoCNqrol2omrKL5ZsY2np61mw65DPHFpz4g/p+t9kxnQNo23R/Uv8phO9wa/UUXLDW/MI2fcyJCPf3raap6ethqA3/RuQfcWdQGYtHQLQzo2LvH8n34tvrvtIxNX8NRlPVm4wbkxL9+8j5+37qd+jar0eXBKoWPvPbsT1w5q432v6vSqOpqbx4ot+1mxZT9fLdnCsTzlH18sA2Dysi3c+OZ8HrmoK3/78CfvuRljJvDkpT3o3KwuJzR2enmVNE354WN5iEC1Kskl5rus5QYJBCXFhnm/7OaExrWoW71KlFJlKpKQ+wWq6hZVnaeqcz2BQUQ6Ri9pFYen6mXfkVw+mr8xonr379wn9Nlrdwbd//miTWSMmRB5IkvhrR9+iei8D+Zt5P8+XQrAO3M2BFTPLNvkTPg7Zfk2Pl+0iU17DvPCt2uK/cxJS7dy01sLuPa1ghLDiMen883KwJLJA18sY8WWfex1S1h/+3Ax7e76MuAm6QkM4LSrOMf+hL/R7yxk+H++BeCbldv4aL7TkP+Z+91s31941dwu902i633lG8w9/DsmQPEN+nn5ykXPz+KaV3+MZrJMBVLaTuOTyyQVFZynLnfaim3c9t4iZq8pfINft+Ng0CqnzxdtYtXW/eTsOMgVL/1Q7DXGfLi47BIcprs/XhJ0cF24ZqzazicLfmXguGm8+O0aHp9S0CB+89sLOHnctGIb1D2mLA+c2uPOD4L/fc54YgbnP/cd+areMR89Hyj9P9trXp3jfT1jlZPmK1763huIwLnhHs9TznpyRsD50XY8SNek4hqkPTP2znfHlBgTynoOTxW1C6hXpqmpoPzrcn/eup+TT2jofT/k39nUrJrM26P6061FPcC5Ud789oISP3tuzi5+88LsMk1vJPr8c0rJB5Vg1BvzvK8f/mpFqT8vVOt2HORanwf448W0a4Riy97g/TB+3nqA7g9MZv7/nca9ny7xbl+2eR///GIZA9qlkdWhMclJ0e92FW7JIVrTuZuKK5SSwzXAEmCe389coHQtsAnis0WbCr2/7/NlZIyZUOhp++CxPM595jsyxkxg7fYD/Lq76F42s1bvIGPMBDbvPcydMSwx+Np/NLfkgyqJ/g9PLXZ/r398zReLNxfa9tLMdVz3+lxue28hz2evYemmkqcyCebI8TxWbClq/a0CuUFu9sWVHLreZ5UAprBQgsMcYImqvu7/A+yPcvoqhGlF9MQ5UMQNdeLSLQEBxdf785zqj6nLt7F2+8FSp+/20wKGqRQy5bZTS30NE5pPF27ikYkrGPnUzIjOH/H4dM54Ygb7jxTfU+1YmMHBGH+hBIffAAuD7VDVNsG2Vya+cwz5O++Z74LW1T86cSWz1gRveAZoUrcaQKm7xnp0bl6n2P0nNK7FM5c7vazaNqzJA+eFvpTo2d2aliptldnNby8gY8wE/vjmvIB9b8zO4brX5pC9cluhasv1uw4Bhcef+Hrz+1+45e0FRVQrBU9HUR0o9h52ulbvP3Kcz4t5mDGJKZSurLvKIyEV1dNTVxe579c9h3l/bvgrqSaX8VDgXq3q07h2Ktv8etMADGibBhR0czypWR2u7NeanB2HCk2RUZR7RnYKqEJJNL8f0Jr/zo6sx1ZxPDfcr5Zs4ZuV2xjSwenqu/fwcW8vr6luqTRn3EgOHSsoiQ75dzbXDmxDw9qpnNi4Fv3c7/GeT5Z40+xvz6FjLNywhx4t6xXaXlQbTPf7J5PVoRG1UlP4YvFmTmhci5OaFv+gYRJHKA3SnwPjgYmqetxvX1ucgXA5qvpKVFIYY0dz8ziWm0/tasH7fi9w+9sXpbSNn6F4+rKedG9Rj8H/+iZgX5+M+tSrUZWP/nQygx4pvH/GnUNo2cCZ+sHz9JgkQlKScM/Ik0oMDg9f2NU702s8GnNmR8aF2PB9ZpcmfLUkcOjOvWd3om+bBhEFh1NPbFRo4sDiXPPqHL64eRBdmtflzCemB+y/77OlbPRpp9p/JDdgehFfwTox/HPCcgAeuagrnZvVJa1WVfYfyfWWVD0uen6WN4Bkr9zuHaviX01qs+QmtlC+2T8ApwArRGSOiHwpItNEZC3wIjCvNIFBRJJFZIGIfOG+byAiX4vIKvd3/Ug/uyyc/+ysYhvrvltddPUQODOWlkarBiXP25PVoVHA/D6pKc5X6ykRtKhfeP+6h8/yBgbnOE9wcN4nJQnrHj6r2Ote1rcVVVLi6+ZQp1oKk/4ymHUPn8WNp7YL+bynLutJRlqNQn/vH+8exjUDM+jSvC4540by1GUFAxwz0mow9fZTmXfPcO+2Jy/tUegzX/xdbx67uHvIaTj76ZlMXrqFTUF6Q702KydoF95I/O3Dnzj76ZkMeHgaIx6fzhG/8SfzftnNyzMLHgw864Cs237QGyA27TnMCXd/xbtz1pdJmuLVbe8tjNn4olgr8X+2O/jtTlVtB1wM/AO4Deiiqqep6qelTMNoYLnP+zHAVFVtD0x138fM8s0l9wwpzuoIplZ45hunquqxr3/21jEXx1Oqud4dDXxRrxZ8+MeTARjqMyr5+7HD+PrWwdzZpxriV3XliWFJPtv9j7n65IyAa1dJik5w6JvRwPv6gxsHBOzPviMr6Hmjh59Ihya1A9LesLrzfvbYod5tb1xXMGVYleQksv86hHd8Rqc3rl3479SrVT3v65eu6kO7RrVIq5XKyK5Ou8vwk9IZ2rExb17Xj7n3DKdalWQu6Nnce864C7sWl2WgcHff8tL3oeJ7X3nc+eFiuvx9Ere+u5AnpzillmCDBT1WbtnPyi0Vu8+KZ6BjaeQXs0pjPAvrf7aq5qjqbFVdqKol37VKICItgJHASz6bzwNed1+/jrOORIXlu9hOWRnmc8NvXDvV+/r2ER146/p+PHZJd7o0r8u8e4bzR5+n5yZ1q9E+vTad0gKncxjeKZ0eLetxy7D2RV43JUj//GhVKz1zeU+qVXH+eXoWJfJV1JQURc0fdHbbKiy9/3Sa1q3u3XZyu4YBx6XVqhqwzcM3cPpOMfHsFb3IGTeSmqkpvHJ1Hwa1b0jDWs73kpQkvH5tXz69aSCX9m1V5GdXJB8v+JV3fdrSMsZM4KUZa3l3znoyxkxg76Hj5OUrpz8xndN9qsjen7uBgeOmhT2DgKqWOOcYOPOOeUrAD3+5nIwxE3joy+Ws3naAh75cXuoZgyN14fOzaOc3e3JFEOlKcGXlCeBOoLbPtnRV3QygqptFJOiEPCIyChgFkJ6eTnZ2dkQJOHDgQEjnRvr50fC7jINc1qoGszbl0q1RUkDaskuIR0Xl+S+d4Zclcyiqdv2lmeu4vXcqj807ytCWKWRnZxf5H653ejKDmqfw5HynEbxfk2R+2FL8KOuMOknk7MvnnLZVWDb/e/Ld4swPs78LOHbuD7M5uVkKi7bnctCnJWzVmtVk5wep6sg9ypzZTvfRhwZV53i+MmP6t97dvn+P4a1SqF1VAv5Gu48U3KDm/jCL6imhB8bdQHbxM4OEJCUJOtRPYunO+Bq05mnPAOj+wGR6Ni4I3l9P+4YqScJfJzrdsqd+kx30QaMoX647xnsrj9M5LYnru6YyKec4Q1tVYeWuPPo2TSFZnAeXqycepG9jJTf/G16c7jy7jp++lo/nrGP7YeVE2UzD6pGVdEvz/3/hhoNhf8aOw/mkVZOAEnAwod7DwhWz4CAiZwPbVHWeiGSFe76qjsdpKCczM1OzssL+CMD5woo9d6JT35iVlcXyzfuoWTXFW7+fn68wsfyfCDzpHV78YUUqMc8+UiZ/WWgSt5svHs7NF/sdNMn5G6385xls3XuU05+YzrjLB9I+vTa3XuIccjwvnxmrtjNh8RY+nB88ejWsX5ecfbsZ3rczWT2a82LTbYz/di2nD+2HTP0SVahZNZmDx/LIOvUUzh7h/PN9Lns1j050VqZr06YdWVk+paVZU9my7wgDWtUMmudvux5kx4Gj9G5dUI1V1J9m674jkO1UwYwYmhXZSOeJheuvrxmYweSlW/nVb+rxF3/Xm1PaNwyYaLFBzVQm/HV40HrwjLQa5Ow8RLO61bztFud2b1bsmBpfHZvUZkUZVQMt2FbwIPDJlro8fkkPmPgVANdPPsSEWwbRqWkdrnltDr8f0JqhHdMLTVSoqizeuJcaVZN5b6JT+li6M5/HFwvrd+UyMcdp+3h5idPde+49w2HiFH7cJvz4deFKje2HnX+/7bv0ortfT60S+fz/j5jPZ+w9dJwhj2Xz0lWZ9GoVvDl1wfrdXP3cLB6+sCuXhVDaDOf/czhCDqPBnuBFpEMprj0QOFdEcoB3gKEi8iawVUSaup/fFAhtrudycOaTMwr1CAo282WiaeRTbfW0T4NsMKkpybRKq8Hyf5xB+/TahfZVSU5iaMd0Hv1Nt6DnPnt5L5Lcm20VtwfMkA6NeXtUf5KShLl3D2fm34bw5vX9uLxfK2pWLXgy/VPWCdw89ISgnzvl9lP5+tbBpBZR/dU6rWahwFAc34e4SKfAaFCzcLXVBT2b89wVvQKOO71zE2pUTeGl32fy0AUFbRUdmtQOOHZox8bkjBtJr9bOzeacHs28+2pVC/357/Hf9gj52HBMWLyZE+/5qtC2q1+dw7G8fLJXbvdOu37SvRPp+H8TWfLrXj6c/yvnPfsdpz1euOdWUW1wmSFM73Les4ElUH/b9h9h7fboTcE+95dd7Dp4jKeL6Wm2xh34Ou+X4ntCRls4ZawZInKJ542I3A58HOmFVXWsqrZQ1QzgUmCaql4JfAZc5R52FVDaBu+QbNx9iKemrvJWk+w6eKzEXgqxGHF6Zpcm5Xq9Gwa39b6uUgbdFou6qY7s1pQf1zlDamYEWVQorVYqLerXoGer+jx0QdeA4vYNp7bjd/1bc9XJhfv310pNCQhUkUoqg/En8//vNF6+KtP7vluLenRvWY8LexU0XPv+iYZ3Sufyfq149DfduGfkSTxzmRNITm6X5j2mnrsK3+Y9TmmhVYManNejGb/tUNW7Qt/oYe1574YBTL39VHLGjfSmYbRPG1N5jmHYvv8oC91J/lQLd5M9++mZ3PH+oqhc98kpq9i2L/jcWC/PXEffB6cy9LFvA/b5Vp/uPOBUlebnK1/9tDnkdTL+8cUyDro9wzynvDJznVMiDWL/keM8+81qtu07wr4SRsRHQzjVSlnAeBG5GEjH6WEUbIW40hoHvCci1wHrcXpIRd0Nb8xj6aZ9nN2tKW0b1Qqpl5J/yWHGnUM4npcf9B9XWXn+yt5R++xgfJ+qi6onHntmR++EgqXx6EXduPPDxdw0JHgpoDi1UlP4x/ldSp2G4pRV03vfNg3okF6b//y2oJvrYxd39/aMeeXqPgHnXJLZstD7V67uw/pdh7j745+8N3jPdO8/b9nPk5f2JDs7m069M1ixeT+X9GlJ83oFjfFDOzbm1Wv6cGr7RnRpXpeft4ZXnXRBz+ZFrj0eqrk+T8Zd/l4+U5s/PuXnQrMB333WSfzBfQB6sZjp4tuM/ZKccSOZk7OLi1+YzQtX9mLHgWPc88mSoNU/H8zbyB3vL2LCLYO8216euY6Obsnv25+3M3X5Vh74YhkPfLHMu2ZKbl6+NzBOWrqVSUu38q9JK6lbvQqL/j6ibP4IIQo5OLiNwxOBsUA+MFZVy6T8parZQLb7eicwrCw+NxyHj3siunPD978R+E6TsW7HQV6asZY7RhSuVWsZwpiEYB67uDuvzlrHkl+DB6SuzeuWuAhOtJzYpKCn0NAiFuu5IYzxBMW5pE9LLs5sEVIjXCx4HgXSahbdoykUtatVYdKtgwttExHaNqzJ2h0HyepQ8qJI1aokc2J6bd6/8WSfbUkcOZ5faFGlxrWr8XKQYCMi3hHZp3VK57RO6UVe675zOnHf58vo3KwOE245hV0Hj1GvehVGdm3K9f+dy3k9mvHpQqdd49qBbUIaWQ/wr0krQzoumh78cjnn92xO3epVCpUMu943ia9Gn1Lo2I27D7FgvRPQ5ubspoZbten75D97zU4u+3/fe9/7z6Hl26bju4rhh/M2snr7AfYcCj5lzt7DcVxyEJGvgc1AF6AF8IqITFfVO6KVuPIUcDvy2zDRZ/Ts0MeyUYURncumiqdxnVSuGpDBX4tYk6AcZnguUmpKQd1+UjkkJF4DAxR0k41WGr8cfUqp2rG+HzuMFVv2079tWskHF2Hdw2dxLC+f177L4eGvVvD0ZT05p3szrh5YMI2ap91keKd01jx0FslJwvk9mvPDul2cemIjb3C4Y8SJ/Hvyz0GvE0/8VxAEZwS6/4wCvlVdb/7wC0eOOz3GfGuXfQNDOG4Poxpt3Y6DDPl3Nv/7Q7+g3bHLSjjVSs+q6ifu6z0icjJOKSKhFNWM4Lvd83pHkLmKivKb3i3498Xdg7ZjCMJverfgi8Wbg0634Jmi4Ip+sekn/+EfT2b1too9mKksVHVHg3ctYSLDSJV2OdF6NaqWKjCAE/hSU5K54dR2IZUIPW1IQzo29pZYXr4qk8EnNqJKchJVU5J46MvyW7vDX8Naqfzz/M7eFf5K4/u1BdPMeQIDOE/1B47mUis1up0/1+88RPWqyd6G6vfnboyP4OATGDzvc3FGSycET5HSEwPEr+igBEaNp6cV9Dj4rV+dsL/7zi1+plMRISOtBsFaK5KTJKx1nMta79b16d06prOYxIV6NarywY0D6GiTzxVr2EkFVVSjBrfjzC5NOeXRwHm/ItWjZT0WbtgDwIMXdOGCns35aeNefjveeWq/YXBbXpy+FoBbhp3AGV2iO3Pwa7NyeG1WDn3bhNbrLVKenpKeh5T9R6K7xko4XVn3i8g+9+eIiOSJSGwqwqPAU1Owac9hXp65Dv+ag+O5gcFhi09d4yM+XTRXP3hmwLHFPVV0bOo0Ul1/Stug+8OZn6ciGXRC9J56oiUzo0HUnxATTThtcZ7eVb5Gdm3K7/oX9ELz7XJ7Rb/W1KiaQopPV+XRw9szelh7Vj14Jr8fkAHArDEF06ZEi6e3XbR5Rosfy8vng3kbOR6lLvUhBwdVra2qddyfasBFwLNRSVUM7DvsROFR/53HP75Yxga//tSe+Y58+RYtfaUkJ3Hr8OIX2AHnH33OuJHeqRZaNqjBqSc2Cjgu0obueFcvyI3AVB4f/+lk7xQpAJdktuCzPw/inpEneWeFHT2sPc9e0Yt/nN/F29sq2JQtye4cX23qJFGjagq3nnZioa7XTeoUnnn2k5sGlnV2yt30n7dzx/uL+GRVdBqrI+647lYzRT8clxNPKcCzgtYRv7lcQpkAz9fo4e05MT1wTqAaPoO3fCdl83jq0uIHmiWC0zun079tg7hufDZl65T2hUuJM+4cQs9W9fnwjyd7pwR/6IKutGxQg+tPaettyxjUPrTSZfvGtahfowoXtg/+wJGUJIVKJT38xpZUZDuPRGcqlXB6K13o8zYJyIQgFfEVzNUTD3LhtoUB248GWcEtUn0yCurrB53QkMnLtvLM5T0ZHqT7YO0wRrRWVC/+zhmAdcvbC2KcElNeWtSvXui9Z0r5zs3q8umfBwUc73ls8O0I0rBWVX7dc5iUJM8I+oJSds3UFBbcO6LYOYYW3DuCLxZvon4Np7fVOd2aFTnr6j/P7+JdOMlX83rVA6Y6ibVoTdQQzp3oHJ/XuUAOzgyqFd5H83+lb5sGheoMi1qGMZif7gs+OMXTLfFEnxG6l/VrxeRlW4ucV8XTXbRqclLQdYCNqYj+7+xOZLZuwPBO6cz/ZTeN/ap5/N098iTGfPgTXXx6hv2/32cydcU2mtStxqoHz4xoxcSzuxVMLTKkY2N+um8ER47nM376GvYePs7mvUd447p+AIWCwx9OaUOt1Cr8YXAbejzwdZGzxC689zTOfHIGm/ce4ce7hhU5HfoXNw/iX5NWsn7XIe4Y0YGb/hd5b6owblVhCae30jXRSUJ8SPVbtCbUIfHJSVLkKnFr3TlS3vphPQ+68+MM6dC4xJ5HT1/Wkw5NajPCb16ZRGO1SpVHjaopXNS7BUChQXpF6dmqfsBAwcZ1qnlHIpfFVC7gDEisXQ3uHtkpYN8Pdw2jn3tzv/OMjt5rfjX6FB7+cjlTlgdO+1avRlVmjy0YwztqcFvGuz2nfKnC69c6E0x8UsqR5oeDdJYpC6EsE/o0xVQfqeotZZqiGPGfJ2npptAW+YnGuLBzujfjeCUoNVhsMPEs3ad04xuM2jWqxTndmwUNDv6Gn5QeNDjk+dxvhnRs7O2e+9GfTubC52Z594VSjdWkZnQW3ArlU+cC84r5SQj+y31OXBq4nnAwoTSqXuszujRU4cx3b4wpX7k+a8MXN1tx3zYNyBk30junEsCITul0aVZQXVa3ehU+uWmgM7Nuq/oM9umx+F0IXXB7NS7d4MmihFKtNFxVfycio1X1yaikogIL5R7ev234g2MqQ0+eypBHk5g8JftLMlsUOy+Vh2/NxFOX9fTOehBMuP8rujaKTieWUEoOvUWkNXCtiNQXkQa+P1FJVQUSyjTOZVU/aowpX62KGGPkmbbit31ahVTK9521taRpUvyruKuXclqVSIUScl4AJgJtcaqRfP8S6m6vNE5qWqfQdN7FBYfuLeuxaMOeQqM3TQH7q5h4N+W2U4Ou29IqrYa3Y0koa1N75rzqEMLaIr5VVuCscpenyjPTVgdtv4iWEh9pVfUpVT0JeEVV26pqG5+fShUYAGqlFo7ixRUcPDHB0y/b+LHoYOJc1ZSkEp/0RYSBJ6TxwpWBK/p5eMYv9QhhmdImdZ2G8Esynd5dNVNTqFOtCneddVK5Tt0STlfWP0YzIRWF/0pmxd3fShsUZtw5JKGXIvWf3NCYiuqt6/sXu79F/Rp89ueBQZd59XdJZks+XvBr0EWvfrx7GP+Z/DMvzQxtzYzSsEfaEvzbb9I7/xt+cY2qdao74x8iXaijZYMatGlYM6JzjTHxpVuLeoXWRynKgHZp5IwbSeu0wP/7NaqmMPask3hnVPHBqCxYcCiBf2NTOAvLn9XVWQyoqEatys46KxkTvuQkoX/bNObeM5zZY6M3vV3iT+RTShl+T+7hjD+4sFcLhnRoTP1SLiuZqCw2GBM5z2zO0Vps1UoOJWhYq2qhbmiekkOoMcICgzGmIrLgUILkJPFWf1zWt6U3OBQ3iMWExr9UZoyJH3aHK0GSCFv2Oms9VElO8o5rqOIGiUgbmw3cGMIaxcaY2KjUwSGUwStJIkxb4Uyw9d7cDd6Kcis5lF44jfvGmPJVqe9wIcSGQjcw8emZH2ypQmOMSRSVOjgEGxbvz//h1jOuweZLMsYkskp9hwtl7HFSEVUfNl+SMSaRVergMHvNzhKP8V+K0PMulNlYTWhGhDDlsTGmfMVsEJyItAT+CzQB8oHxqvqkOw34u0AGzjrVl6jq7mikwTMZVnEC5lJy3/6y81A0klTp/Hj3MOpWD77MqjEmdmJZcsgFbndnfO0P3CQinYAxwFRVbQ9Mdd9HRSi9ZXwLCCI2qresNa5dLaT5Zowx5StmwUFVN6vqfPf1fmA50Bw4D3jdPex14PxopeFYbsnrNFf1aXgOpXeTMcYkgrhocxCRDKAn8AOQrqqbwQkgQONoXTeU4CAiNHCnwOjWom7ALKwt6lePStqMMSaWYj7xnojUAj4E/qKq+0JdV1hERgGjANLT08nOzg772ou255Z4THZ2Ni1q5LHrIPSvf5A5W5xV4Po2SebHLXlUzT8a0bVj6cCBAxUuzaVlea4cLM9lJ6bBQUSq4ASGt1T1I3fzVhFpqqqbRaQpsC3Yuao6HhgPkJmZqVlZWWFfv/ranTDve+/7tg1rsn7XoUIL7GRlZfHfnDmwfRtdu3Rlg26GTb/StEk6bNlE3bp1yMoaGPa1Yyk7O5tI/l4VmeW5crA8l52YVSuJU0R4GViuqv/x2fUZcJX7+irg02iloZ+7rqtH7WoprH7oLLo0r1M4re5v9XljXVmNMYkslm0OA4HfAUNFZKH7cxYwDjhNRFYBp7nvoyajTsGfwDNfUo0qhQtUnmm3U1OSvCPnLDgYYxJZzKqVVHUmRfcMHVZe6ajixoZererx5KU9AHjqsp70f3iq95j7zu1Mp6Z1OKV9Q37/yo8AzFqzA4AF6/eUV1KNMabcxLxBOl6MPeskWtR3lvNsUrdaoX21UlO4dlCbQts2u9N4G2NMIoqLrqyxFO7QhXaNnAVqOjapXfaJMcaYOFHpg4OHf/3WBzcO4JnLewYcd2GvFgBkpDlBonVajWgnzRhjyl2lDw6eUc/+7cuZGQ04u1uzgOPP7taUJIHfD2gNQJ+MBtFOojHGlLtK3+ZQUK0UWu+j1mk1WfvwSAA+//MgOja16iVjTOKp9MHBI5KeqV1b1C37hBhjTBywaiX3t41aMMaYApU+OOBtc7DwYIwxHpU+OFjJwRhjAllwcH9bwcEYYwpU+uDgIVZ2MMYYr0ofHIoa52CMMZVZpe/K+qceqSw62oiTmtYp+WBjjKkkKn1waFIziUtHdo11MowxJq5U+molY4wxgSw4GGOMCWDBwRhjTAALDsYYYwJYcDDGGBPAgoMxxpgAFhyMMcYEsOBgjDEmgKhqyUfFORHZDvwS4ekNgR1lmJyKwPJcOVieK4fS5Lm1qjYKtiMhgkNpiMhcVc2MdTrKk+W5crA8Vw7RyrNVKxljjAlgwcEYY0wACw4wPtYJiAHLc+Vgea4copLnSt/mYIwxJpCVHIwxxgSw4GCMMSZAwgYHEUkWkQUi8oX7voGIfC0iq9zf9X2OHSsiq0VkpYic7rO9t4j85O57SiR+FxMVkRw3rQtFZK67LdHzXE9EPhCRFSKyXEQGJHKeRaSD+/16fvaJyF8SOc8AInKriCwVkSUi8raIVKsEeR7t5nepiPzF3Va+eVbVhPwBbgP+B3zhvn8UGOO+HgM84r7uBCwCUoE2wBog2d33IzAAEOAr4MxY56uY/OYADf22JXqeXweud19XBeolep598p4MbAFaJ3KegebAOqC6+/494OoEz3MXYAlQA2e1zilA+/LOc0KWHESkBTASeMln83k4NxPc3+f7bH9HVY+q6jpgNdBXRJoCdVR1tjp/5f/6nFNRJGyeRaQOMBh4GUBVj6nqHhI4z36GAWtU9RcSP88pQHURScG5YW4isfN8EvC9qh5S1VzgW+ACyjnPCRkcgCeAO4F8n23pqroZwP3d2N3eHNjgc9xGd1tz97X/9nilwGQRmScio9xtiZzntsB24FW3+vAlEalJYufZ16XA2+7rhM2zqv4K/BtYD2wG9qrqZBI4zzilhsEikiYiNYCzgJaUc54TLjiIyNnANlWdF+opQbZpMdvj1UBV7QWcCdwkIoOLOTYR8pwC9AKeV9WewEGconZREiHPAIhIVeBc4P2SDg2yrULl2a1XPw+nuqQZUFNErizulCDbKlSeVXU58AjwNTARp8oot5hTopLnhAsOwEDgXBHJAd4BhorIm8BWt5iF+3ube/xGnKjs0QKn2LrRfe2/PS6p6ib39zbgY6AviZ3njcBGVf3Bff8BTrBI5Dx7nAnMV9Wt7vtEzvNwYJ2qblfV48BHwMkkdp5R1ZdVtZeqDgZ2Aaso5zwnXHBQ1bGq2kJVM3CK3tNU9UrgM+Aq97CrgE/d158Bl4pIqoi0wWn4+dEttu0Xkf5uC//vfc6JKyJSU0Rqe14DI3CKpgmbZ1XdAmwQkQ7upmHAMhI4zz4uo6BKCRI7z+uB/iJSw03rMGA5iZ1nRKSx+7sVcCHO912+eY51y3w0f4AsCnorpQFTcSLwVKCBz3F347Twr8SnNR/IxLnJrgGewR1RHm8/OPXvi9yfpcDdiZ5nN609gLnAYuAToH4lyHMNYCdQ12dbouf5fmCFm943cHrlJHqeZ+A87CwChsXie7bpM4wxxgRIuGolY4wxpWfBwRhjTAALDsYYYwJYcDDGGBPAgoMxxpgAFhyMSSAiMlJEFovI3bFOi6nYLDgYk1iuwRlBPSTWCTEVmwUHYyIkItkiklnGn1lPRP7k8z5L3DVJijj+AxFp67PpC5xpEzb4HTfFd/5/Y0piwcGY+FIP+FNJBwGISGecefvX+myuhTO6tq7f4W+E+rnGgAUHk4BE5E4RucV9/biITHNfDxORN0XkeRGZ666ydb+770wRec/nM7JE5HP39QgRmS0i80XkfRGpFeSaQY8RZ4W++93tP4lIR3d7I3FW85ovIi+KyC8i0hAYB7QTZ6W3f7kfX0sKVrx7y50nB+AKAufKuQL4I9DTr6TwGc6cTMaExIKDSUTTgVPc15k4N9cqwCCcp+q7VTUT6AacKiLdcKZH7u9OXAjwW+Bd94Z9DzBcnSnR5+KsMugVwjE73O3PA3e42/6OMylkL5xZdFu528fgLOLTQ1X/6m7rCfwFZ8WvtjgzD+P+9k5NLyInAKmquhQnaPzGs09VdwOpIpIWwt/PGAsOJiHNA3q7M9UeBWbjBIlTcILDJSIyH1gAdAY6qbPi1kTgHHFWHBuJc4Ptj3NT/k5EFuLMhtna73olHfORT7oy3NeDcKaUR1UnAruLyc+PqrpRVfOBhT6f0RRnwSOPKzyfiTOL5xV+n7MNZ00EY0qUEusEGFPWVPW4u57HNcAsnFlbhwDtgMM4T+99VHW3iLwGVHNPfRe4CWf+/Dmqut+twvlaVYurkinpmKPu7zwK/s+Fs7j9UZ/Xvp9x2CftAJfjLIbjaVtoKiItVdXTOF3NPceYElnJwSSq6ThBYDpOaeFGnKfuOjirxu0VkXScbp8e2TgLBv0BJ1AAfA8MdKtscNcVONHvWqEc428mcIl7/Aic6cYB9gO1Q8zjcsBzzX441VctVDVDnfVMHsFtZ3CDXBMgJ8TPNpWcBQeTqGbgVLvMVmfFtCPADFVdhFOdtBR4BfjOc4Kq5uF0BT3T/Y2qbgeuBt4WkcU4gaCj74VCOSaI+4ERbvXWmTjrI+9X1Z041VNLfBqkizIBZ80ScKqQPvbb/zHgWVKzN86i9cUtN2mMl63nYEwMiEgqkKequSIyAGct7B5hfkZ14Buc9cPzSjj2SeAzVZ0aaZpN5WJtDsbERivgPRFJAo7hVGWFRVUPi8jfgeY4y2kWZ4kFBhMOKzkYY4wJYG0OxhhjAlhwMMYYE8CCgzHGmAAWHIwxxgSw4GCMMSbA/wdbvfaRmlZiYAAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "for i in [1, 2, 3, 1002, 1534, 1550, 3999]: #1534 \n",
+ " plt.plot(wavelengths, data[i]) \n",
+ " plt.xlabel('wavelength(Å)') \n",
+ " plt.ylabel('flux (10-17 ergs/s/cm2/Å)') \n",
+ " plt.grid(True)\n",
+ " plt.title(str(i))\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**Mit Normierung**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'data_normalized' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_4564/1696242517.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1002\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1534\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m3999\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwavelengths\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata_normalized\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'wavelength(Å)'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'flux / median'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mNameError\u001b[0m: name 'data_normalized' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "for i in [1,2,3,1002, 1534, 3999]:\n",
+ " plt.plot(wavelengths, data_normalized[i]) \n",
+ " plt.xlabel('wavelength(Å)') \n",
+ " plt.ylabel('flux / median') \n",
+ " plt.grid(True)\n",
+ " plt.title(str(i))\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 3) Trainings- und Test-Datensatz erstellen"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import random\n",
+ "# z = list(zip(data_normalized, labels)) # Mit Median-Normierung\n",
+ "z = list(zip(data, labels, numbers)) # Ohne Median-Normierung\n",
+ "random.shuffle(z)\n",
+ "data_shuffled, labels_shuffled, numbers_shuffled = zip(*z)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(4000, 3522)\n",
+ "(4000,)\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(np.array(data_shuffled).shape)\n",
+ "print(np.array(labels_shuffled).shape)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "split_index = int(len(data_shuffled)*0.9)\n",
+ "\n",
+ "# Daten\n",
+ "data_training = np.asarray(data_shuffled[:split_index])\n",
+ "data_test = np.asarray(data_shuffled[split_index:])\n",
+ "\n",
+ "# Labels\n",
+ "labels_training = np.asarray(labels_shuffled[:split_index])\n",
+ "labels_test = np.asarray(labels_shuffled[split_index:])\n",
+ "\n",
+ "# Galaxie numbers\n",
+ "numbers_training = numbers_shuffled[:split_index]\n",
+ "numbers_test = numbers_shuffled[split_index:]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 4) Netzwerk erstellen"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import tensorflow as tf\n",
+ "from tensorflow.keras.models import Sequential\n",
+ "from tensorflow.keras.layers import Activation, Dense, Flatten, Conv1D, MaxPooling1D, Dropout, InputLayer, GlobalAveragePooling1D\n",
+ "from tensorflow.keras.metrics import Accuracy\n",
+ "\n",
+ "from tensorflow import keras\n",
+ "from tensorflow.keras import layers"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "input_shape = (3522,1)\n",
+ "\n",
+ "data_training_r = np.reshape(data_training, newshape=(len(data_training), input_shape[0], input_shape[1]))\n",
+ "data_test_r = np.reshape(data_test, newshape=(len(data_test), input_shape[0], input_shape[1]))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(3600, 3522, 1)\n",
+ "(400, 3522, 1)\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(data_training_r.shape)\n",
+ "print(data_test_r.shape)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Conv1D, maxPool1D, categorical_crossentropy\n",
+ "# model = Sequential([\n",
+ "# #Conv1D(filters=30, kernel_size=10, activation='relu', input_shape=(3522,1)),\n",
+ "# Conv1D(filters=64, kernel_size=5, activation='relu'), #mehr Filtern\n",
+ "# MaxPooling1D(4), # Größere Region\n",
+ "# Dropout(0.1),\n",
+ "# #Conv1D(filters=60, kernel_size=10, activation='relu'),\n",
+ "# Conv1D(filters=64, kernel_size=5, activation='relu'),\n",
+ "# MaxPooling1D(4),\n",
+ "# # GlobalAveragePooling1D(),\n",
+ "# Dropout(0.1),\n",
+ "# Flatten(),\n",
+ " \n",
+ "# Dense(units=64, activation='relu'),\n",
+ "# #Extra Dense\n",
+ " \n",
+ "# Dense(units=4, activation='softmax')\n",
+ "# ])\n",
+ "\n",
+ "# Am besten (schnell):\n",
+ "model = Sequential([\n",
+ " Conv1D(filters=64, kernel_size=80, strides=10, activation='relu', input_shape=(3522,1)), # stride\n",
+ " MaxPooling1D(3), #Pooling verringert Accuracy leicht aber verhindert overfitting\n",
+ " Dropout(0.35),\n",
+ " Conv1D(filters=128, kernel_size=40, strides=10, activation='relu'),\n",
+ " MaxPooling1D(3),\n",
+ " Dropout(0.35),\n",
+ " Flatten(),\n",
+ " Dense(units=128, activation='relu'), # Droput, weniger neuronen\n",
+ " Dropout(0.35),\n",
+ " Dense(units=4, activation='softmax')\n",
+ "])\n",
+ "\n",
+ "# model = Sequential([\n",
+ "# Conv1D(filters=64, kernel_size=40, strides=10, activation='relu', input_shape=(3522,1)), # stride\n",
+ "# Dropout(0.2),\n",
+ "# Conv1D(filters=128, kernel_size=20, strides=5, activation='relu'), # stride\n",
+ "# Dropout(0.2),\n",
+ "# Flatten(),\n",
+ "# Dense(units=4, activation='softmax')\n",
+ "# ])\n",
+ "\n",
+ "# Langsamer, aber auch gut (aus paper):\n",
+ "# model = Sequential([\n",
+ "# Conv1D(filters=16, kernel_size=21, activation='relu', input_shape=(3522,1)),\n",
+ "# MaxPooling1D(2),\n",
+ "# Conv1D(filters=32, kernel_size=11, activation='relu'),\n",
+ "# MaxPooling1D(2),\n",
+ "# Conv1D(filters=64, kernel_size=5, activation='relu'),\n",
+ "# MaxPooling1D(2), \n",
+ "# Flatten(),\n",
+ "# Dense(units=64, activation='relu'),\n",
+ "# Dropout(0.5),\n",
+ "# Dense(units=4, activation='softmax')\n",
+ "# ])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model.compile(optimizer='Adam', loss='sparse_categorical_crossentropy',\n",
+ " metrics=['accuracy'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# x_train = data_training_r\n",
+ "# x_test = data_test_r\n",
+ "\n",
+ "x_train = tf.keras.utils.normalize(data_training_r, axis=1)\n",
+ "x_test = tf.keras.utils.normalize(data_test_r, axis=1)\n",
+ "\n",
+ "y_train = labels_training\n",
+ "y_test = labels_test"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 1.3781 - accuracy: 0.3086 - val_loss: 1.3430 - val_accuracy: 0.5083\n",
+ "Epoch 2/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 1.2632 - accuracy: 0.4583 - val_loss: 1.0897 - val_accuracy: 0.5083\n",
+ "Epoch 3/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 1.0615 - accuracy: 0.5151 - val_loss: 0.9411 - val_accuracy: 0.5722\n",
+ "Epoch 4/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.9879 - accuracy: 0.5426 - val_loss: 0.8975 - val_accuracy: 0.5861\n",
+ "Epoch 5/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.9514 - accuracy: 0.5698 - val_loss: 0.8564 - val_accuracy: 0.6028\n",
+ "Epoch 6/200\n",
+ "17/17 [==============================] - 1s 67ms/step - loss: 0.9050 - accuracy: 0.5975 - val_loss: 0.8161 - val_accuracy: 0.6222\n",
+ "Epoch 7/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.8805 - accuracy: 0.6127 - val_loss: 0.8084 - val_accuracy: 0.6250\n",
+ "Epoch 8/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.8552 - accuracy: 0.6123 - val_loss: 0.8093 - val_accuracy: 0.5972\n",
+ "Epoch 9/200\n",
+ "17/17 [==============================] - 1s 64ms/step - loss: 0.8436 - accuracy: 0.6142 - val_loss: 0.7369 - val_accuracy: 0.6583\n",
+ "Epoch 10/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.7887 - accuracy: 0.6466 - val_loss: 0.7060 - val_accuracy: 0.6694\n",
+ "Epoch 11/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.7787 - accuracy: 0.6503 - val_loss: 0.6888 - val_accuracy: 0.6861\n",
+ "Epoch 12/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.7521 - accuracy: 0.6546 - val_loss: 0.6506 - val_accuracy: 0.7083\n",
+ "Epoch 13/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.7365 - accuracy: 0.6645 - val_loss: 0.6339 - val_accuracy: 0.7194\n",
+ "Epoch 14/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.7031 - accuracy: 0.6858 - val_loss: 0.6122 - val_accuracy: 0.7278\n",
+ "Epoch 15/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.6789 - accuracy: 0.7034 - val_loss: 0.5973 - val_accuracy: 0.7194\n",
+ "Epoch 16/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.6575 - accuracy: 0.7012 - val_loss: 0.5851 - val_accuracy: 0.7306\n",
+ "Epoch 17/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.6476 - accuracy: 0.7111 - val_loss: 0.5637 - val_accuracy: 0.7500\n",
+ "Epoch 18/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.6364 - accuracy: 0.7182 - val_loss: 0.5641 - val_accuracy: 0.7528\n",
+ "Epoch 19/200\n",
+ "17/17 [==============================] - 1s 65ms/step - loss: 0.6391 - accuracy: 0.7046 - val_loss: 0.5387 - val_accuracy: 0.7639\n",
+ "Epoch 20/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.6161 - accuracy: 0.7281 - val_loss: 0.5340 - val_accuracy: 0.7667\n",
+ "Epoch 21/200\n",
+ "17/17 [==============================] - 1s 73ms/step - loss: 0.5925 - accuracy: 0.7432 - val_loss: 0.5203 - val_accuracy: 0.7722\n",
+ "Epoch 22/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.5780 - accuracy: 0.7435 - val_loss: 0.5078 - val_accuracy: 0.7861\n",
+ "Epoch 23/200\n",
+ "17/17 [==============================] - 1s 69ms/step - loss: 0.5703 - accuracy: 0.7503 - val_loss: 0.5010 - val_accuracy: 0.8000\n",
+ "Epoch 24/200\n",
+ "17/17 [==============================] - 1s 64ms/step - loss: 0.5573 - accuracy: 0.7546 - val_loss: 0.4745 - val_accuracy: 0.8278\n",
+ "Epoch 25/200\n",
+ "17/17 [==============================] - 1s 66ms/step - loss: 0.5549 - accuracy: 0.7660 - val_loss: 0.4751 - val_accuracy: 0.8306\n",
+ "Epoch 26/200\n",
+ "17/17 [==============================] - 1s 71ms/step - loss: 0.5290 - accuracy: 0.7707 - val_loss: 0.4620 - val_accuracy: 0.8361\n",
+ "Epoch 27/200\n",
+ "17/17 [==============================] - 1s 67ms/step - loss: 0.5150 - accuracy: 0.7796 - val_loss: 0.4494 - val_accuracy: 0.8361\n",
+ "Epoch 28/200\n",
+ "17/17 [==============================] - 1s 60ms/step - loss: 0.5070 - accuracy: 0.7920 - val_loss: 0.4452 - val_accuracy: 0.8278\n",
+ "Epoch 29/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.5113 - accuracy: 0.7778 - val_loss: 0.4326 - val_accuracy: 0.8306\n",
+ "Epoch 30/200\n",
+ "17/17 [==============================] - 1s 74ms/step - loss: 0.4912 - accuracy: 0.7907 - val_loss: 0.4214 - val_accuracy: 0.8361\n",
+ "Epoch 31/200\n",
+ "17/17 [==============================] - 1s 69ms/step - loss: 0.4890 - accuracy: 0.7883 - val_loss: 0.4241 - val_accuracy: 0.8389\n",
+ "Epoch 32/200\n",
+ "17/17 [==============================] - 1s 65ms/step - loss: 0.4790 - accuracy: 0.7978 - val_loss: 0.4183 - val_accuracy: 0.8306\n",
+ "Epoch 33/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.4696 - accuracy: 0.8037 - val_loss: 0.4092 - val_accuracy: 0.8556\n",
+ "Epoch 34/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4726 - accuracy: 0.7951 - val_loss: 0.4124 - val_accuracy: 0.8389\n",
+ "Epoch 35/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.4673 - accuracy: 0.8040 - val_loss: 0.4106 - val_accuracy: 0.8278\n",
+ "Epoch 36/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.4548 - accuracy: 0.8120 - val_loss: 0.3912 - val_accuracy: 0.8583\n",
+ "Epoch 37/200\n",
+ "17/17 [==============================] - 1s 60ms/step - loss: 0.4552 - accuracy: 0.8108 - val_loss: 0.3896 - val_accuracy: 0.8639\n",
+ "Epoch 38/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.4301 - accuracy: 0.8238 - val_loss: 0.3917 - val_accuracy: 0.8694\n",
+ "Epoch 39/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.4247 - accuracy: 0.8244 - val_loss: 0.3770 - val_accuracy: 0.8500\n",
+ "Epoch 40/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.4309 - accuracy: 0.8176 - val_loss: 0.3941 - val_accuracy: 0.8667\n",
+ "Epoch 41/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4214 - accuracy: 0.8293 - val_loss: 0.3782 - val_accuracy: 0.8556\n",
+ "Epoch 42/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4034 - accuracy: 0.8386 - val_loss: 0.3708 - val_accuracy: 0.8500\n",
+ "Epoch 43/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4181 - accuracy: 0.8262 - val_loss: 0.3642 - val_accuracy: 0.8778\n",
+ "Epoch 44/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4073 - accuracy: 0.8355 - val_loss: 0.3590 - val_accuracy: 0.8722\n",
+ "Epoch 45/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4039 - accuracy: 0.8321 - val_loss: 0.3752 - val_accuracy: 0.8722\n",
+ "Epoch 46/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3885 - accuracy: 0.8426 - val_loss: 0.3525 - val_accuracy: 0.8694\n",
+ "Epoch 47/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3901 - accuracy: 0.8395 - val_loss: 0.3627 - val_accuracy: 0.8639\n",
+ "Epoch 48/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3749 - accuracy: 0.8556 - val_loss: 0.3559 - val_accuracy: 0.8611\n",
+ "Epoch 49/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.3753 - accuracy: 0.8466 - val_loss: 0.3512 - val_accuracy: 0.8667\n",
+ "Epoch 50/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.3742 - accuracy: 0.8432 - val_loss: 0.3564 - val_accuracy: 0.8639\n",
+ "Epoch 51/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3654 - accuracy: 0.8580 - val_loss: 0.3380 - val_accuracy: 0.8750\n",
+ "Epoch 52/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.3723 - accuracy: 0.8466 - val_loss: 0.3521 - val_accuracy: 0.8556\n",
+ "Epoch 53/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.3691 - accuracy: 0.8522 - val_loss: 0.3498 - val_accuracy: 0.8667\n",
+ "Epoch 54/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.3557 - accuracy: 0.8546 - val_loss: 0.3442 - val_accuracy: 0.8583\n",
+ "Epoch 55/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.3536 - accuracy: 0.8577 - val_loss: 0.3619 - val_accuracy: 0.8639\n",
+ "Epoch 56/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.3717 - accuracy: 0.8438 - val_loss: 0.3327 - val_accuracy: 0.8833\n",
+ "Epoch 57/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.3572 - accuracy: 0.8519 - val_loss: 0.3290 - val_accuracy: 0.8833\n",
+ "Epoch 58/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3486 - accuracy: 0.8648 - val_loss: 0.3369 - val_accuracy: 0.8806\n",
+ "Epoch 59/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3481 - accuracy: 0.8574 - val_loss: 0.3293 - val_accuracy: 0.8750\n",
+ "Epoch 60/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3410 - accuracy: 0.8611 - val_loss: 0.3342 - val_accuracy: 0.8639\n",
+ "Epoch 61/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3440 - accuracy: 0.8614 - val_loss: 0.3328 - val_accuracy: 0.8750\n",
+ "Epoch 62/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3275 - accuracy: 0.8707 - val_loss: 0.3368 - val_accuracy: 0.8694\n",
+ "Epoch 63/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3245 - accuracy: 0.8744 - val_loss: 0.3440 - val_accuracy: 0.8500\n",
+ "Epoch 64/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3373 - accuracy: 0.8670 - val_loss: 0.3288 - val_accuracy: 0.8750\n",
+ "Epoch 65/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3251 - accuracy: 0.8667 - val_loss: 0.3305 - val_accuracy: 0.8722\n",
+ "Epoch 66/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3248 - accuracy: 0.8654 - val_loss: 0.3307 - val_accuracy: 0.8750\n",
+ "Epoch 67/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3148 - accuracy: 0.8660 - val_loss: 0.3181 - val_accuracy: 0.8889\n",
+ "Epoch 68/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3133 - accuracy: 0.8719 - val_loss: 0.3203 - val_accuracy: 0.8778\n",
+ "Epoch 69/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3134 - accuracy: 0.8735 - val_loss: 0.3150 - val_accuracy: 0.8889\n",
+ "Epoch 70/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3065 - accuracy: 0.8738 - val_loss: 0.3131 - val_accuracy: 0.8889\n",
+ "Epoch 71/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3129 - accuracy: 0.8722 - val_loss: 0.3134 - val_accuracy: 0.8833\n",
+ "Epoch 72/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3130 - accuracy: 0.8673 - val_loss: 0.3340 - val_accuracy: 0.8861\n",
+ "Epoch 73/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3186 - accuracy: 0.8679 - val_loss: 0.3146 - val_accuracy: 0.8861\n",
+ "Epoch 74/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.2865 - accuracy: 0.8852 - val_loss: 0.3164 - val_accuracy: 0.8917\n",
+ "Epoch 75/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3003 - accuracy: 0.8806 - val_loss: 0.3366 - val_accuracy: 0.8639\n",
+ "Epoch 76/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2987 - accuracy: 0.8775 - val_loss: 0.3140 - val_accuracy: 0.8944\n",
+ "Epoch 77/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2976 - accuracy: 0.8784 - val_loss: 0.3184 - val_accuracy: 0.8833\n",
+ "Epoch 78/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2845 - accuracy: 0.8910 - val_loss: 0.3200 - val_accuracy: 0.8861\n",
+ "Epoch 79/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2969 - accuracy: 0.8793 - val_loss: 0.3129 - val_accuracy: 0.8861\n",
+ "Epoch 80/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2988 - accuracy: 0.8818 - val_loss: 0.3185 - val_accuracy: 0.8778\n",
+ "Epoch 81/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2757 - accuracy: 0.8880 - val_loss: 0.3082 - val_accuracy: 0.8917\n",
+ "Epoch 82/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2869 - accuracy: 0.8833 - val_loss: 0.3094 - val_accuracy: 0.8861\n",
+ "Epoch 83/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2760 - accuracy: 0.8910 - val_loss: 0.3198 - val_accuracy: 0.8917\n",
+ "Epoch 84/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2778 - accuracy: 0.8907 - val_loss: 0.3217 - val_accuracy: 0.8889\n",
+ "Epoch 85/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2789 - accuracy: 0.8812 - val_loss: 0.3092 - val_accuracy: 0.8917\n",
+ "Epoch 86/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2838 - accuracy: 0.8827 - val_loss: 0.2983 - val_accuracy: 0.9028\n",
+ "Epoch 87/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2725 - accuracy: 0.8892 - val_loss: 0.3305 - val_accuracy: 0.8694\n",
+ "Epoch 88/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2791 - accuracy: 0.8880 - val_loss: 0.3143 - val_accuracy: 0.8944\n",
+ "Epoch 89/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2688 - accuracy: 0.8926 - val_loss: 0.3097 - val_accuracy: 0.8889\n",
+ "Epoch 90/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2803 - accuracy: 0.8938 - val_loss: 0.3037 - val_accuracy: 0.8972\n",
+ "Epoch 91/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2650 - accuracy: 0.8907 - val_loss: 0.3093 - val_accuracy: 0.8972\n",
+ "Epoch 92/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2605 - accuracy: 0.8926 - val_loss: 0.2981 - val_accuracy: 0.8944\n",
+ "Epoch 93/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2574 - accuracy: 0.8975 - val_loss: 0.3028 - val_accuracy: 0.9000\n",
+ "Epoch 94/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2559 - accuracy: 0.8966 - val_loss: 0.3667 - val_accuracy: 0.8667\n",
+ "Epoch 95/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2611 - accuracy: 0.8948 - val_loss: 0.3028 - val_accuracy: 0.8972\n",
+ "Epoch 96/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2631 - accuracy: 0.8951 - val_loss: 0.3430 - val_accuracy: 0.8667\n",
+ "Epoch 97/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.2657 - accuracy: 0.8920 - val_loss: 0.3161 - val_accuracy: 0.8917\n",
+ "Epoch 98/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.2619 - accuracy: 0.8920 - val_loss: 0.3092 - val_accuracy: 0.8944\n",
+ "Epoch 99/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2493 - accuracy: 0.9031 - val_loss: 0.3246 - val_accuracy: 0.8972\n",
+ "Epoch 100/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2468 - accuracy: 0.9028 - val_loss: 0.3030 - val_accuracy: 0.9028\n",
+ "Epoch 101/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2504 - accuracy: 0.9012 - val_loss: 0.3274 - val_accuracy: 0.8889\n",
+ "Epoch 102/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2574 - accuracy: 0.8981 - val_loss: 0.3058 - val_accuracy: 0.9028\n",
+ "Epoch 103/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2355 - accuracy: 0.9096 - val_loss: 0.3169 - val_accuracy: 0.9000\n",
+ "Epoch 104/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2502 - accuracy: 0.8994 - val_loss: 0.3188 - val_accuracy: 0.8944\n",
+ "Epoch 105/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2394 - accuracy: 0.8997 - val_loss: 0.3115 - val_accuracy: 0.8833\n",
+ "Epoch 106/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2507 - accuracy: 0.8991 - val_loss: 0.3155 - val_accuracy: 0.8972\n",
+ "Epoch 107/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.2401 - accuracy: 0.9040 - val_loss: 0.3170 - val_accuracy: 0.8917\n",
+ "Epoch 108/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2375 - accuracy: 0.9049 - val_loss: 0.3126 - val_accuracy: 0.8917\n",
+ "Epoch 109/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2314 - accuracy: 0.9062 - val_loss: 0.3085 - val_accuracy: 0.8972\n",
+ "Epoch 110/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2366 - accuracy: 0.8991 - val_loss: 0.3233 - val_accuracy: 0.8972\n",
+ "Epoch 111/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2429 - accuracy: 0.9019 - val_loss: 0.3152 - val_accuracy: 0.8944\n",
+ "Epoch 112/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2274 - accuracy: 0.9056 - val_loss: 0.3214 - val_accuracy: 0.8972\n",
+ "Epoch 113/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2451 - accuracy: 0.8985 - val_loss: 0.2960 - val_accuracy: 0.9056\n",
+ "Epoch 114/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2190 - accuracy: 0.9164 - val_loss: 0.3150 - val_accuracy: 0.8944\n",
+ "Epoch 115/200\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2218 - accuracy: 0.9108 - val_loss: 0.3130 - val_accuracy: 0.9000\n",
+ "Epoch 116/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2349 - accuracy: 0.9059 - val_loss: 0.3216 - val_accuracy: 0.9056\n",
+ "Epoch 117/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2250 - accuracy: 0.9074 - val_loss: 0.3121 - val_accuracy: 0.9000\n",
+ "Epoch 118/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2269 - accuracy: 0.9114 - val_loss: 0.3161 - val_accuracy: 0.9000\n",
+ "Epoch 119/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2140 - accuracy: 0.9188 - val_loss: 0.3054 - val_accuracy: 0.9028\n",
+ "Epoch 120/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2294 - accuracy: 0.9105 - val_loss: 0.3079 - val_accuracy: 0.9028\n",
+ "Epoch 121/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2129 - accuracy: 0.9148 - val_loss: 0.3043 - val_accuracy: 0.9056\n",
+ "Epoch 122/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2100 - accuracy: 0.9164 - val_loss: 0.2990 - val_accuracy: 0.9056\n",
+ "Epoch 123/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2240 - accuracy: 0.9099 - val_loss: 0.3062 - val_accuracy: 0.9083\n",
+ "Epoch 124/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2029 - accuracy: 0.9198 - val_loss: 0.3197 - val_accuracy: 0.9028\n",
+ "Epoch 125/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2191 - accuracy: 0.9151 - val_loss: 0.3415 - val_accuracy: 0.8861\n",
+ "Epoch 126/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2172 - accuracy: 0.9157 - val_loss: 0.3101 - val_accuracy: 0.9028\n",
+ "Epoch 127/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2096 - accuracy: 0.9201 - val_loss: 0.3079 - val_accuracy: 0.9056\n",
+ "Epoch 128/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2144 - accuracy: 0.9204 - val_loss: 0.3052 - val_accuracy: 0.9111\n",
+ "Epoch 129/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2030 - accuracy: 0.9219 - val_loss: 0.3147 - val_accuracy: 0.9056\n",
+ "Epoch 130/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2139 - accuracy: 0.9179 - val_loss: 0.3202 - val_accuracy: 0.9028\n",
+ "Epoch 131/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2085 - accuracy: 0.9170 - val_loss: 0.3140 - val_accuracy: 0.9056\n",
+ "Epoch 132/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2038 - accuracy: 0.9142 - val_loss: 0.3125 - val_accuracy: 0.9083\n",
+ "Epoch 133/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1889 - accuracy: 0.9250 - val_loss: 0.3275 - val_accuracy: 0.9056\n",
+ "Epoch 134/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2052 - accuracy: 0.9167 - val_loss: 0.3146 - val_accuracy: 0.9028\n",
+ "Epoch 135/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1990 - accuracy: 0.9185 - val_loss: 0.3174 - val_accuracy: 0.9028\n",
+ "Epoch 136/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1992 - accuracy: 0.9228 - val_loss: 0.3207 - val_accuracy: 0.8972\n",
+ "Epoch 137/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2169 - accuracy: 0.9114 - val_loss: 0.3221 - val_accuracy: 0.9000\n",
+ "Epoch 138/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2113 - accuracy: 0.9157 - val_loss: 0.3446 - val_accuracy: 0.8944\n",
+ "Epoch 139/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2003 - accuracy: 0.9235 - val_loss: 0.3408 - val_accuracy: 0.9056\n",
+ "Epoch 140/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2036 - accuracy: 0.9182 - val_loss: 0.3244 - val_accuracy: 0.9028\n",
+ "Epoch 141/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1921 - accuracy: 0.9235 - val_loss: 0.3062 - val_accuracy: 0.8972\n",
+ "Epoch 142/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1994 - accuracy: 0.9170 - val_loss: 0.3157 - val_accuracy: 0.9028\n",
+ "Epoch 143/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1997 - accuracy: 0.9235 - val_loss: 0.3079 - val_accuracy: 0.8917\n",
+ "Epoch 144/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1837 - accuracy: 0.9287 - val_loss: 0.3026 - val_accuracy: 0.9000\n",
+ "Epoch 145/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1932 - accuracy: 0.9216 - val_loss: 0.3134 - val_accuracy: 0.8972\n",
+ "Epoch 146/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1842 - accuracy: 0.9269 - val_loss: 0.3200 - val_accuracy: 0.9000\n",
+ "Epoch 147/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1933 - accuracy: 0.9235 - val_loss: 0.3142 - val_accuracy: 0.9056\n",
+ "Epoch 148/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1925 - accuracy: 0.9281 - val_loss: 0.3178 - val_accuracy: 0.8972\n",
+ "Epoch 149/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1781 - accuracy: 0.9318 - val_loss: 0.3128 - val_accuracy: 0.9111\n",
+ "Epoch 150/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1897 - accuracy: 0.9278 - val_loss: 0.3126 - val_accuracy: 0.9056\n",
+ "Epoch 151/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1934 - accuracy: 0.9198 - val_loss: 0.3234 - val_accuracy: 0.9056\n",
+ "Epoch 152/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1879 - accuracy: 0.9269 - val_loss: 0.3099 - val_accuracy: 0.9000\n",
+ "Epoch 153/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1894 - accuracy: 0.9265 - val_loss: 0.3295 - val_accuracy: 0.8722\n",
+ "Epoch 154/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.1953 - accuracy: 0.9216 - val_loss: 0.2980 - val_accuracy: 0.9056\n",
+ "Epoch 155/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1855 - accuracy: 0.9238 - val_loss: 0.2958 - val_accuracy: 0.9250\n",
+ "Epoch 156/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.1836 - accuracy: 0.9281 - val_loss: 0.3046 - val_accuracy: 0.9139\n",
+ "Epoch 157/200\n",
+ "17/17 [==============================] - 1s 68ms/step - loss: 0.1887 - accuracy: 0.9231 - val_loss: 0.3211 - val_accuracy: 0.9028\n",
+ "Epoch 158/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.1713 - accuracy: 0.9302 - val_loss: 0.3123 - val_accuracy: 0.9000\n",
+ "Epoch 159/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1809 - accuracy: 0.9265 - val_loss: 0.3141 - val_accuracy: 0.8972\n",
+ "Epoch 160/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1838 - accuracy: 0.9238 - val_loss: 0.3185 - val_accuracy: 0.8917\n",
+ "Epoch 161/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1857 - accuracy: 0.9265 - val_loss: 0.3091 - val_accuracy: 0.8917\n",
+ "Epoch 162/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1646 - accuracy: 0.9370 - val_loss: 0.3189 - val_accuracy: 0.8944\n",
+ "Epoch 163/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1727 - accuracy: 0.9343 - val_loss: 0.3078 - val_accuracy: 0.9111\n",
+ "Epoch 164/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1828 - accuracy: 0.9213 - val_loss: 0.3179 - val_accuracy: 0.8972\n",
+ "Epoch 165/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1834 - accuracy: 0.9256 - val_loss: 0.3077 - val_accuracy: 0.9083\n",
+ "Epoch 166/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1757 - accuracy: 0.9330 - val_loss: 0.3122 - val_accuracy: 0.9083\n",
+ "Epoch 167/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1737 - accuracy: 0.9281 - val_loss: 0.3292 - val_accuracy: 0.8972\n",
+ "Epoch 168/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.1750 - accuracy: 0.9321 - val_loss: 0.3208 - val_accuracy: 0.9056\n",
+ "Epoch 169/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1817 - accuracy: 0.9262 - val_loss: 0.3290 - val_accuracy: 0.9000\n",
+ "Epoch 170/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1665 - accuracy: 0.9293 - val_loss: 0.3259 - val_accuracy: 0.9056\n",
+ "Epoch 171/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1622 - accuracy: 0.9367 - val_loss: 0.3200 - val_accuracy: 0.9028\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 172/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1635 - accuracy: 0.9364 - val_loss: 0.3218 - val_accuracy: 0.9028\n",
+ "Epoch 173/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1718 - accuracy: 0.9352 - val_loss: 0.3616 - val_accuracy: 0.8833\n",
+ "Epoch 174/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1665 - accuracy: 0.9346 - val_loss: 0.3365 - val_accuracy: 0.8944\n",
+ "Epoch 175/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1663 - accuracy: 0.9340 - val_loss: 0.3427 - val_accuracy: 0.9000\n",
+ "Epoch 176/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1773 - accuracy: 0.9272 - val_loss: 0.3385 - val_accuracy: 0.9028\n",
+ "Epoch 177/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1653 - accuracy: 0.9343 - val_loss: 0.3369 - val_accuracy: 0.9000\n",
+ "Epoch 178/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1537 - accuracy: 0.9407 - val_loss: 0.3264 - val_accuracy: 0.9000\n",
+ "Epoch 179/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.1624 - accuracy: 0.9395 - val_loss: 0.3173 - val_accuracy: 0.9028\n",
+ "Epoch 180/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1625 - accuracy: 0.9364 - val_loss: 0.3581 - val_accuracy: 0.8944\n",
+ "Epoch 181/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1678 - accuracy: 0.9321 - val_loss: 0.3434 - val_accuracy: 0.8972\n",
+ "Epoch 182/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1696 - accuracy: 0.9346 - val_loss: 0.3318 - val_accuracy: 0.9000\n",
+ "Epoch 183/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1680 - accuracy: 0.9340 - val_loss: 0.3310 - val_accuracy: 0.8944\n",
+ "Epoch 184/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.1645 - accuracy: 0.9333 - val_loss: 0.3367 - val_accuracy: 0.9000\n",
+ "Epoch 185/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1539 - accuracy: 0.9401 - val_loss: 0.3510 - val_accuracy: 0.9028\n",
+ "Epoch 186/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1569 - accuracy: 0.9392 - val_loss: 0.3403 - val_accuracy: 0.9028\n",
+ "Epoch 187/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1567 - accuracy: 0.9386 - val_loss: 0.3411 - val_accuracy: 0.9000\n",
+ "Epoch 188/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1662 - accuracy: 0.9373 - val_loss: 0.3318 - val_accuracy: 0.9111\n",
+ "Epoch 189/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1752 - accuracy: 0.9299 - val_loss: 0.3545 - val_accuracy: 0.9139\n",
+ "Epoch 190/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.1744 - accuracy: 0.9302 - val_loss: 0.3519 - val_accuracy: 0.9028\n",
+ "Epoch 191/200\n",
+ "17/17 [==============================] - 1s 60ms/step - loss: 0.1640 - accuracy: 0.9330 - val_loss: 0.3248 - val_accuracy: 0.9083\n",
+ "Epoch 192/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1603 - accuracy: 0.9392 - val_loss: 0.3411 - val_accuracy: 0.9056\n",
+ "Epoch 193/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1682 - accuracy: 0.9318 - val_loss: 0.3369 - val_accuracy: 0.9000\n",
+ "Epoch 194/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1665 - accuracy: 0.9340 - val_loss: 0.3204 - val_accuracy: 0.8972\n",
+ "Epoch 195/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1571 - accuracy: 0.9330 - val_loss: 0.3622 - val_accuracy: 0.8861\n",
+ "Epoch 196/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1575 - accuracy: 0.9392 - val_loss: 0.3391 - val_accuracy: 0.8889\n",
+ "Epoch 197/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1504 - accuracy: 0.9423 - val_loss: 0.3458 - val_accuracy: 0.9028\n",
+ "Epoch 198/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1582 - accuracy: 0.9346 - val_loss: 0.3595 - val_accuracy: 0.9000\n",
+ "Epoch 199/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1479 - accuracy: 0.9404 - val_loss: 0.3747 - val_accuracy: 0.9000\n",
+ "Epoch 200/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1452 - accuracy: 0.9432 - val_loss: 0.3308 - val_accuracy: 0.9000\n"
+ ]
+ }
+ ],
+ "source": [
+ "history = model.fit(x_train, y_train,\n",
+ " epochs=200, validation_split=0.1,\n",
+ " shuffle=True, batch_size=200,\n",
+ " verbose=1)\n",
+ "\n",
+ "# model_handler=Model.Model(shape=(height_dim,height_dim,lc_dim,1))\n",
+ "\n",
+ "\n",
+ "#model3 = tf.keras.models.load_model('spectral_classifier_v2.h5')\n",
+ "# model.save('spectral_classifier_v2.h5')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 5) Auswertungen"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def plot_accuracy(name, ylim=[0,1.01]):\n",
+ " plt.plot(history.history['accuracy'])\n",
+ " plt.plot(history.history['val_accuracy'])\n",
+ " plt.title('model accuracy')\n",
+ " plt.ylabel('accuracy')\n",
+ " plt.xlabel('epoch')\n",
+ " plt.ylim(ylim[0], ylim[1])\n",
+ " plt.legend(['training', 'validation'], loc='upper left')\n",
+ " plt.savefig(name)\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def plot_loss(name, ylim=[-0.5,2]):\n",
+ " plt.plot(history.history['loss'])\n",
+ " plt.plot(history.history['val_loss'])\n",
+ " plt.title('model loss')\n",
+ " plt.ylabel('loss')\n",
+ " plt.xlabel('epoch')\n",
+ " plt.ylim(ylim[0],ylim[1])\n",
+ " plt.legend(['training', 'validation'], loc='upper left')\n",
+ " plt.savefig(name)\n",
+ " plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plot_accuracy(\"accuracy_graph.png\")\n",
+ "plot_loss(\"loss_graph.png\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<tf.Tensor: shape=(4, 4), dtype=int32, numpy=\n",
+ "array([[76, 17, 3, 0],\n",
+ " [14, 83, 5, 2],\n",
+ " [10, 7, 83, 1],\n",
+ " [ 0, 3, 4, 92]])>"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn.metrics import confusion_matrix\n",
+ "\n",
+ "predictions = model.predict(x=x_test)\n",
+ "rounded_predictions = np.argmax(predictions, axis=-1)\n",
+ "\n",
+ "cm_labels = range(4)\n",
+ "cm = confusion_matrix(y_true=y_test, y_pred=rounded_predictions)\n",
+ "\n",
+ "tf.math.confusion_matrix(\n",
+ " labels=y_test, predictions=rounded_predictions, num_classes=4, weights=None, dtype=tf.dtypes.int32,\n",
+ " name=None)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Untersuchung der falsch klassifizierten Spektren"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**Label 0 = AGN** \\\n",
+ "**Label 1 = galaxy** \\\n",
+ "**Label 2 = QSO** \\\n",
+ "**Label 3 = star**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "400 richtig\n",
+ "52 falsch\n",
+ "87.0% richtig klassifiziert\n"
+ ]
+ }
+ ],
+ "source": [
+ "predictions = model.predict(x=x_test)\n",
+ "rounded_predictions = np.argmax(predictions, axis=-1)\n",
+ "\n",
+ "wrong_predictions = []\n",
+ "\n",
+ "for i in range(len(rounded_predictions)):\n",
+ " if rounded_predictions[i] != y_test[i]:\n",
+ " wrong_predictions.append(numbers_test[i]) \n",
+ "\n",
+ "wrong_predictions.sort()\n",
+ " \n",
+ "print(len(rounded_predictions), \"richtig\")\n",
+ "print(len(wrong_predictions), \"falsch\")\n",
+ "print(str(((len(rounded_predictions)-len(wrong_predictions))/len(rounded_predictions))*100) + \"% richtig klassifiziert\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[16, 20, 29, 89, 238, 291, 338, 347, 413, 427, 459, 461, 462, 566, 604, 632, 744, 752, 757, 866, 934, 944, 991, 1248, 1251, 1303, 1337, 1495, 1530, 1586, 1615, 1655, 1683, 1687, 1704, 1717, 1838, 2035, 2187, 2210, 2304, 2457, 2459, 2531, 2745, 2768, 2784, 2832, 3043, 3117, 3247, 3823]\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(wrong_predictions)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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QMQeD/5UT03HfL3NujarENa1PuADx4U+/8psjD4n5M5Ipnkfg5UCVXGjIN/AtFkEjJHEaxr5dvIVR781lxBPfMfDBb4L2j3pvLic+XNwItnLrXmatrtrzQh165wRufOunmI8vrXH/YEERK93pTd6btY4Hv1jEHR879fh7DxTw3dKt5B4o4JGvlpBfWBT0u3z0qyWMem9Oic8c/YFzk+t190R63/sVHUZ/xt4DBVzz6iy6jimuQd21L58/vfkTH/7kBJjJS7awbkce/5q4BICNu/Yz/LEpTF3hdJMc+ojTG+bBzxdyxUvT+e2zP7L3QAH78wtL3Kx25ZXenpFfWBTTU/DxD33DkfdMZOXWvVz3+myGPjLZv09Vue61WTz1s/MkPOT//hfUIJsIa7c7/w85izdz/jM/UFik1HSDbH6RMmjsN0EzD6zcupcj750YFLTnrN3JHR/N47xnppb4/M/K2fUz8MFj5Lip7I3QBpII/w2oMjrnqfBTc8Tqm0WRq+oqWjwliduAH0TkR8DfH05Vb0x4qirYgYKimI8NnZdllDuTY6QGOAgOLL6nktCeIrkHCqifXpM7P57HK1NXJ60nSVGRsmnPflo1rBv12G25B9i+9yBds8I/mQL+G3jHgCdFcBaLf/K38aUt72DJxs5utxfftH0/6x+Wb+O1aatLNPoWFhUFfYaveuKeM0pOVhxaZfDp3PVMWrgJgMUb9/Drzjzen/0rn83dwCdz1rNyy96gJ1SAD376NWw+Am8Wb/y4hvs/X0inZvUYd2k/2jXJoHbNNNbvKu4TX1BYRJoI789eR9esTHq3bUTXMV8w9NAWPHdZ/3CX8FvvVoWEPu2On7OeG98MH6hVtUSPvfzCImqmiX/7jFXbS72uzwc//crQw7L8VbJTl2/z/14KA6rlfly5nQ279vGaWwWza19xkDzzSacX1fa9B7l7/PyIPZbKYuKCTf7X01Zs5/tlWxl2eEtmrNpO3sFCTuwW3DX17vHzy90hIZzMOjWZdfvJQX/PlUU8QeK/wDfAL0Dsd9VKIBEjAtdsDy5hhPaazX74W16+snguxG8XbWZwj+L62j+/9TPPXdYv7ND9RHr6f8t5+MvF3DC4C4emlf6kOuzRyWzbe5BVY0egqhRpyf7bvpvTgntP4dLnp9O6cfTgE+rXgFGns1bvYGfeQYYcGrl+f2vugbC9gp6M0JB81/iSx4Z2S/zb+8VVKKc85jyN16pRnNfQABGr+z93eset2Lo3YlfILmOCbxxL/nEqAJMWbmZ/fiErt+7ll3W7WLJpDw3q1uLGIV15bdpqlm4K373z/yYu5t8h6b38xen+14fd+SWTbjmR1o3q8u3izVzx4gz/vpm3D6VZ/XTOD/NUH0lgm93vAqbMeHvmWv/rf01cHFMJOpEBIpzPftnAIY3q+vMX+DD26859Sbv+7DtOjlqN6VXxBIkCVb05aSlJoUTP337J8z+WaNxctS2P4Y9N8b+/a/z8oKfJSQs38eL3xfWuwx+bzO+P68j5bnvGlKVbuOT56Xz8x2M5sm2juNIT+OT48JeLAfjPt8tokSG07Ladvu2bsH7nPjbvOUDvgM/etveg//Ut78zhg59+ZfkDp/HLr7u4/7MF3PWb4mEyh93p9OKYGXAjKCgsYs32PCYu2MQlx7Tnb+/P5dO5G1h033A27z5AVsN0aqal8fuXZ/rP8ZXUzjmqNV2ySvaLL4t3Zq6LflAYob/DihIYTHrcMaHE/hsGdym162xogIDi2Y0B9uUXcuzYb3jrmmOCAgQQ1N6WSF6pYv345/V8HNDltMPoz+ielcniCAG3vI5s05B3rx0UNUD0atOQuevi7z0ZKFnjjOIJEt+KyDXAJwRXN8VWLvWwn9bsTOjnRZpbZl9AF7012/MY82HwP/o9nyzwv160cQ9/fW8ueQcL2ZZ7wP8ke+aT3/uffjbs2seT3y7j3jN6kuY+4ee7VRfLNudyymOTueq4jjz33Uo+ueE4jmjTMOh6m/OUc5+eyqqxIxg01mlLmX3HyazbkUevNo2CjvVVrfxr4mKeznGe2E//93el/hwCn5DfnrHWXzUVeON78fLw1SmRqnKqg9BSaahoP/dYjRw3LSGfU9klK0AANM+sE7X34w+jT2L9zn0l2mRe+j56Y31FiCdI+GqYbwvYViW6wK708LoPd42fX2Lbpt37GTd5Bc+7PT4GdmrGiF6tAOg65gu6Z2Wy351KwNcr5MJxU1lw7/Co1+v7j69QhfevG+TfFjglgy9AxCvSz/iKl2aE3V7ZvXhFf/q0a8yR90xM+Gcv2OCdyd9M6R4694ig91cf35FnpwTf/A8WFIXtunF3wENjLJJV7o25kkxVO4b5qvQBApyn78rk6Ae+9gcIgG8Xb6bD6M/8c9gs3rSnRC+svIOF/ClCQ+YNbxTXKftKrIEN9F7uw+0Fc+4cFvT+2hM7M7h7CxrWrUXdWsVdPW8Y3CXouPevG5j0tH38x2OTfo3ymjFmKO2aZJAe4Yn7yIAS8O0jDq2oZCVE0/rpQe/HjDisxDEtG9YJO+j21J4t47rW16uT03Mr5iAhIn8UkUYB7xuLyPVJSVUF89r87fF6b1Zsde6fzCk5/B/g07mldzOMdVBQZXHFsR04oVvpE649cPYRpe4HGNS5KavGjqBhRq2gtpymAYP+Zt4+lFd/P4BP/3Qct57SneuznWVZ7jurZ1zjFTLrxFPoh/E3HMukm0+kR6tMGqcLlw1sz8J7h/Ppn47jhsFduHVYN04+LIt/nBV+mfpeATfmwFJlLB4f2bvEEzTAG1cfzZ2nF98kT+jWnGd+15fmmelMHjWYr/5yYolzTu/VirvPKG77Or5r8xI9kkrzxU3Hx5X2irb4H8OpU6tGie1nH9WaJy46Kq7P+mxl4ntlQXzVTVer6pO+N6q6Q0SuBp5KfLIqltcWHjeJc3qvVkFBcFT/OlzvNrjf+OZP/nWGm9VPJ71mGr/udDoT/PbodhzXpRlbcvezfMteRr3ndL99+uI+ZHdvwbWvzeKO04ufaj/647Hszy9k3OQVXDaog397vfSaHN+1+KZ2w0ldqJkmXNivbal11c9e2o+rX5nJiF6tGNy9Bef1bcOt784J+0Dw7rUD6de+MXd8PI/XpjlzHAW2KT06OIPsbCcY9GzdkJ6tg9umfI3gi+5zqiMPFBRRp1Yac9buokuL+jSpV5tVY0eEnW010GUD25NeqwZn9m4NwGlHtOKIu53qNl87Wo+WDbj3U6ca5YSuzRge8LQc+H/4yAVH8vCXi3ngnCNoEDL5XbR5of5wQif+O3kFPVpmcmirBvRs3YC2jTP4wp0C5I2rjua3z/1ImsAbVx+DKjz85SL6tGvMGb0PYWvuASYt3Bz3fFFZDdLZtDu+2XLT3UGFDesG5/HRC3vH9TkAXRsnp/dUPEEiTURE3SZ0EakBRJ8noRKo5AWJlGrVsE6JaQuSyXcDCHXTkK5cfUIn5qzdycXPFXfD/Ptph/qDRN/2jenWuPif+O4zDmf++l2Mu7Qfnd2Rvm9OX0Ofdo0BaNc0g3ZNM+jTrjHjf17P5YOcKR+AoO7MPnVq1eDGIV1LTX9G7ZrcPKy7//0Po0/i+tdnc3qvVpzbpw0v/bCKE7o1o2/7Jsy6fSiNMmr7ux2f37dNUJB49MIjObFbC5q4JZem9YKrNmL14DlHcETrhv4nWt/3AR2bBB338Hm96JaV6R/XEOqeM4NLJeFmNg3sQR06fXZawM5z+rThnD7F03V0bl6P5e6UOdsDet0Feu33R9OqUR06N69Py/z1nH3yMQB8+ienNPH4pKW0bVKXQV2a8f51g+jRMpN66c4t8IPrg6vlTuqRxcZd+/lm0WZaNqjDxt3O3/h9Z/XkjpCeZbVrpnGwoIinLu7DuU87jc//PLcXLRvWCZvOcLq3zOTINg2Zs24XdWqV7WYfJXaWWTxB4kvgHRF5BqeN5FqgZP+8SijSdBAmulMOb8mF/dty6uNToh9cTg+f14vjujYLChKL7hvOuzPXMnJAO2rVSKNFZvGN0vf0Ov3vQ6hTuwYN6tQiJyfHv79Jvdp8fUt20DUuGtCuxHVFhNeuOjqxmXEd0qguHwW0GwROcRFan310J6d6a39+IQcKiko8ffpEC1ShwuU5nPNLmV6mXu2SVSalaVi3VonpQ7Iy0+nRMpNbA4KoT+D4nEcv7M2F/53K238Y6O/p9fpVR3Nsl+IpUDo2rOGfbsXnpqHFP5e+7RtHTaOvS+n9Z/f0d9M+t0/rEkHiiZFHBZWI2japywX945+K53fHtGfOe3N56NxecZ8Lzgj3ZIgnSPwN+APFU4dPBJ5LRqIqmsWI2HRsVq9EL6VRw7uTUTv4zyiwiiczvSbHdW3mL+pH88kNx7Ft7wGmLN0a1DjvEzpSvE6tGlwSMDmib3R4YLBo0SD2J7rKoE6tGmHrsY92n/wHdGhSYl8ivfOHgazfuY8/v/0zR3dswo8rt3NIo/gHUYaqWSONCX8+odRjFKVn64bMD+mp165J2eajKv1ajsBqsIzaNbk+uzNPBfTyCwxgs24fGvZ3EyhS1d15fdvQvmk9+neIHsDC6dIovkAdq6hBQkTG4UwJPklVnwaeTkpKUqiyN1xXlHvPPJxLnp8etC0wQDStV5ttew/Sv0MTf5CYc9cw0tKE4Y9NZtHGPYy/4VjaNs5g/vrdNMqoFdTnf2T/tv6xHDsD5ja6dVg3/jVxCa1jvBH9MPqkiE/ZVdmgLs2Yd88p1E+Pr5E7Xr5qqL7tG9M8M50v52/kmE5NYzrX90AWbzugRJkXoWaNxDcs+tMa5dqBVWihpb94iEiJKr54DGiVnN97LJVfLwBHAp+LyNci8jcROTIpqUmRiu4C+9TFfUrd38ad2qJD0+KnozN7J2dGyD+cELkX83OX9gt6nx4wc+ebVx/DGwFVMMsfOI0ZY4YyZdRgLh1YvNKar57ZN+K7RprQuF5tjuvarEQDauBI8sD8Xp/dhfevG8Qgtzph1dgRPHxer4i9bg5pVNdf11zdJDtABGrbJIM6bkN1VoTSmm/8jk8tt7G+eynzgYXja79okhG+GbR5OW7OkfgfHSXCdldaGXq+PPO7Poy7pG9ZkhVRsvrfxLLo0DRVvVtVjwcuANYAt4jIzyLygohckKS0VZhucf7BRnJGwNS+5/Rxeni8cuUAFtx7StBxRar+6ZRDTfjz8Xz3t5NYNXYEOX8dzEtXOCOSbzm5ZD1tOMd3dW6kPVs38G977tJ+rBo7gpUPnsagzk15/7pB/sax0af2CDr/hG7NmTJqMDPGDGXoYVn+dDatV5sjAm7qAzs39d+0wbn5p6UJbZtkICKcH7JGQPH02sH5DvxHCWwb8gWVNHECTWgd8vn92sZUr2xS68nf9gmaH6l+ek3evPoYxoU8gEQzangPpt52UsSqw5pJmBfJ9zcb7eabFueU+ADDe7Zi2OHxjYNIlbgeO1R1G/Cm+4WI9MVZxrRSa1q/fJ20erZuwLxfd/Pbo9txycD2TJy/kdGnHsojF/QucWynZvU4vktzlj1wGte8MpMuLerTs3VD/yRpnZoFz1eU3b1FxBlhbxzSlZtP7uav37zrN4dx0YB2PDZpKTec1IWedznzKZ3oPoWJCG9c7fT4WHTfqeTk5JSYDfSBs4P778+5axhK/E+oD53bi/sDxhr4qvRCg8Sww1ty8dHteP3HNSV6mU26+UQa1K2eJYKqbGDn2KqmAtVIk5hmLk6GaGvclyFGJEWykhHPynQ3AS8Ce4BngT7Abap6f5LSVmEiFZVjlVGr+MfYv0MT+odpOHzioqN48fuVfBjQ1S7waeqNq44mvVZaXKvctQ2ZcfWKYzsCJUsHscw+2S2rPhPDDGYKrbb5fvRJ7IlhKuW0NKF2wH+Pr5QQLim+/8HQCcq6tEjMBH+mamvbJDnBo7hNwnlgWbwx/BxPNTwy0CpZyYinjHalqu4GhgEtgCuAB5OSqgp2Yb+23NA7nYwI3fjO7RN5eUWAzu7NrFGE1dLAqYr68PrIUyQM6uL0jY8m8B/ivFKWfQSn3/g3t5S88YdaNXZE2AARTutGdenRskH0A0P4ulk2zywZkH2li0QsNWmql2m3DeHzG5Mzqvo6d3T8Ea0b0qVF/RLtKz7RShqJENo+CCUfBlNekghIw2nAi6o6R5L80xGR4cDjQA3gOVUdm4zrpKUJ/VrW5NaRQ/1VN/86/0hufddZ1eyeMw8nu3tzRhzRitd/XM2RbRvx+KSlfO2uHnXXbw5jxBGtynTzjMf0vw8hI70mY79YyI69+VH/OI/rmtylM+Nx1fGduOr48I3k3ngOM5VRPAPW4nVsl2YxLf5VEdVNQ8Osnx5ayk/W3TieIDFLRCYCHYHbRCSTJC4+5I7ofhI4GVgHzBCR8aoa39SIZaSqHNG6IYs27qZ+ek3/erO+Pvl/ObmbP0jUqVWjQm7Ivka7f5wVPC/Os5f2CxoXYIxJntBxVfGu5V7ZRK1uEhFfIPk9MBror6p5OFNyXJHEtA0AlqnqClU9CLwFnJnE6wHFVUsKfPKn41h6/2lhj+vZuiEjyzCqMhlOPiwr7oWIvMQqmUxl1N7tot6+ab0oRyZJSLRKZXXTNBFZhzMFxwRV3Qn+nk7bkpQugNbA2oD364AScyO4CyFdA5CVlRU07UI8cnNzycnJoX+9ImZkppGxfRk5UdZOGN4Uhg+vV+Zrppovz6n266/OfErLli0jJz+5M856Jc8VyfKcWGvWOHNH9W+Szz396zF/VuxLvcbr9E61mLQ6P2xeliwNnsI/Ly8vKXmOGiRUtZ+ItAdOBR4TkdbAdzijsP+nqvFNexi7cIGxxEOnqo4DxgH069dPs7Ozy3SxnJwcfOeOjF4NWSUE5jmVvtk1D9aspmvXrmQHzKCaDF7Jc0WyPCfWtH2LYOVyOnXuRHZ2l+gnlENQFiYET+XRrWtXWFC8KFm9ehlJyXNMvZtUdbWqPqOqZwGDcJYwHQpMEZHS5w8uu3VAYH1OGyD8ggimSkjWGr3GJJJ6pII0NBVe6N0EgKrmi8hPwFZVHeWWLJJhBtBVRDoCvwIjKV5C1RhjDNCjZSY9WmbSuM7OpHx+PCvT5YhIAxFpAswBXhSRR1Q1KSvWq2oBcAPOFOULgXdUteSCz6bKqIj+5sYkSrSJ/5LNN66od9tGPDbyqDLNIRWLeEoSDVV1t4hchTNO4i4RmZuUVLlU9XPg82Rewxhj4uKN2ia/ZD9cxTPiuqaItMKZ5O/TJKXHGGNMDDq5qykGrkeeDPGUJO7Fqfr5TlVniEgnYGmUc4yJytqrjYnfsV2a8dVfTkj6HGcxBwlVfRd4N+D9CuDcZCTKGGO8LtVNaELxSozJFM8ssE+E2bwLmKmqHycuSaa6SfU/mzGVUUX938TTJlEH6I1TxbQU6AU0AX4vIo8lPGXGGGMiqqjegPG0SXQBTnK7piIiTwMTcSbg+yUJaTPVhLVJmMqkuv25xlOSaA0EzmRVDzhEVQuBZE3NYaoRq3YyxnviKUn8E/hZRHJw2kxOAB4QkXrApCSkzRhjTIrFFCREJA1n1PMgnCm8Bfi7qvrmUvprcpJnqhOrdjKVSXUp+MYUJFS1SET+T1UHAtaTyRhjqol42iQmisi5yV6y1FRf9pdlKoPqNltxPG0SN+M0VheKyD6c0paqanIXdjbGGA+qLg81MZckVDVTVdNUtZaqNnDfW4AwxpgKkKoliuOZKlxE5Hcicof7vq2IDEhe0kx14ZVFXIzxsrevOYbZd5xc4deNp03iKWAgxQv/5AJPJjxFxhjjYalqkqhTqwZN6tWu8OvG0yZxtKr2cVelQ1V3iEjFp9hUOalevMUYE1k8JYl8EamBOypdRJoDRUlJlTHGGE+IJ0g8AXwItBCR+4HvgAeSkipTrVibhKlM2jbJAKBlw7opTknFiGc9iddFZBYwBKf761mqujBpKTPVjlU6mcrgkmPa075pBid2a57qpFSIeNokUNVFwKIkpcUYYzwvLU3I7t4iZdf/+pYTWbllb4VdL64gYUwyWaWTMdF1bl6fzs2Tu2RpoHjaJIwxxlQzFiSMZ1ibhDHeEzVIiMh2EXlORIbY5H7GGFO9xFKS2AL8DNwLrBORx0XkmKSmyhhjjCfEEiT2qup/VPVYnGk5fgWeEpEVImLjJEy5VbOZl42pVGIJEv4qJlVdo6r/VNU+wKnY2tbGGFOlxdIF9ttwG1V1MXBPYpNjqiNr6TLGu6KWJFT15opIiDHGGO8pVxdYEbkzUQkx1Ze1SRjjXeUdJ3FVQlJhDFi9kzEeFLVNQkR2R9oFVI9pEI0xppqKpeF6J9BfVTeF7hCRtQlPkam+rN7JGM+JpbrpFaB9hH1vJDAtxhhjPCZqSUJVby9l398SmxxTrVmbhDGeU6aGaxG5O8HpMMYY40Fl7d10RkJTYYwxxpPKGiQSUi8gIueLyHwRKRKRfiH7bhORZSKyWEROScT1jDdZc7Ux3lXWlen6Juj684BzgP8GbhSRw4CRwOHAIcAkEemmqoUJuq4xxpgYxBQk3Cf5s4DWOA9+60XkY1WdUJ6Lq+pC9/NDd50JvKWqB4CVIrIMGABMLc/1jDdZc7Ux3hXLYLrHgG44XWHXuZvbADeKyKmqelMS0tUamBbwfp27LVz6rgGuAcjKyiInJ6dMF8zNzS3zuZWVV/K8fr0zmfDSJUvI2b8yqdfySp4rkuW5ekhWnmMpSZymqt1CN4rI28ASoNQgISKTgJZhdo1R1Y8jnRZmW9iqa1UdB4wD6Nevn2ZnZ5eWnIhycnIo67mVlVfyPHHHL7B2DV27dSP7mEhDchLDK3muSJbn6iFZeY4lSOwXkQGqOj1ke39gf7STVXVoGdK1Dmgb8L4NsL4Mn2MqEat2MsZ7YgkSlwNPi0gmxdVNbYHd7r5kGA+8ISKP4DRcdwVCg5Qxxpgki2XE9WzgaBFpidMuIMA6Vd1Y3ouLyNnAv4HmwGci8rOqnqKq80XkHWABUAD80Xo2VX3WFdYY74m5C6wbFIICg4j0UNVFZb24qn4IfBhh3/3A/WX9bGOMMeVX3vUkJiYkFcZgbRLGeFEsXWCfiLQLaJTQ1BhjjPGUWKqbrgBuAQ6E2XdRYpNjjDHGS2IJEjOAear6Q+gOmw3WJIKtNWSMd8USJM4jwngIVe2Y2OQYY4zxkli6wG6viISY6svWGjLGu6L2bhKRT0TkNyJSK8y+TiJyr4hcmZzkGWOMSaVYqpuuBm4GHhOR7cAWoA7QAVgO/KeUOZiMicraJIzxrliqmzYCo4BRItIBaAXsA5aoal5yk2eqE6t2MsZ74lp0SFVXAauSkhJjjDGeU94R18YkjFU7GeM9FiSMMcZEFHOQEJEWYbZ1T2xyTHVmbRLGeE88JYkpInKB742I3EKEGVyNMcZUDfE0XGcD40TkfCALWAgMSEaijDHGeEPMJQlV3QBMAAbijJF4RVVzk5QuU61Yi7UxXhVzSUJEvgI2AD1x1px+QUQmq+qtyUqcMcaY1IqnTeJJVb1UVXeq6jxgELArSeky1Yq1WBvjVfEsX/pRyPsC4L5EJ8gYY4x3xFPdtIfiyuPaQC0gV1UbJiNhpjqxNgljvCqekkRm4HsROQvr3WQSSKzayRjPKfOIa7f66aTEJcUYY4zXxFPddE7A2zSgH1ZPYBJI7c/JGM+JZzDdbwJeF+DMBntmQlNjjDHGU+Jpk7gimQkxxtokjPGeqEFCRP5NKdVKqnpjQlNkjDHGM2IpScxMeiqMMcZ4UixBYqiqXiIiN6nq40lPkal2bLEhY7wrli6wfUWkPXCliDQWkSaBX8lOoDHGmNSJpSTxDM7sr52AWQRPtKPudmPKzBYbMsa7opYkVPUJVT0UeEFVO6lqx4AvCxDGGFOFxbOexHXJTIipvqxNwhjvKvO0HMYkmlU7GeM9FiSMMcZEZEHCeIZVOxnjPRYkjDHGRGRBwniGtUkY4z0pDRIi8rCILBKRuSLyoYg0Cth3m4gsE5HFInJKCpNpjDHVVqpLEl8BPVW1F7AEuA1ARA4DRgKHA8OBp0SkRspSaYwx1VRKg4SqTlTVAvftNKCN+/pM4C1VPaCqK4Fl2FKpVZY1WBvjXfEsOpRsVwJvu69b4wQNn3XuthJE5BrgGoCsrCxycnLKdPHc3Nwyn1tZeSXPGzYeAGDx4sXk5K1I6rW8kueKZHmuHpKV56QHCRGZBLQMs2uMqn7sHjMGZ7W7132nhTk+7POmqo4DxgH069dPs7Ozy5TOnJwcynpuZeWVPE/YNhfWraV79+5kD2iX1Gt5Jc8VyfJcPSQrz0kPEqo6tLT9InIZcDowRNVf8bAOaBtwWBtgfXJSaIwxJpJU924aDvwNOENV8wJ2jQdGiki6iHQEugLTU5FGk3zWJmGMd6W6TeI/QDrwlTid5Kep6rWqOl9E3gEW4FRD/VFVC1OYTlMBbJiEMd6T0iChql1K2Xc/cH8FJscYY0yIVI+TMMbPap2M8R4LEsYYYyKyIGE8w9okjPEeCxLGGGMisiBhjDEmIgsSJuXUmqyN8SwLEsYYYyKyIGFSTqzJ2hjPsiBhjDEmIgsSJuWsTcIY77IgYTzD1rg2xnssSBhjjInIgoTxDJsy3BjvsSBhjDEmIgsSxhhjIrIgYTzDGq6N8R4LEsYYYyKyIGGMMSaiVK9xbQyjhvcgv1A548jWqU6KMSaEBQmTcs3qp/Pohb1TnQxjTBhW3WSMMSYiCxLGGGMisiBhjDEmIgsSxhhjIrIgYYwxJiILEsYYYyKyIGGMMSYiCxLGGGMiEq1Ck/iLyBZgdRlPbwZsTWByKgPLc/Vgea4eypPn9qraPNyOKhUkykNEZqpqv1SnoyJZnqsHy3P1kKw8W3WTMcaYiCxIGGOMiciCRLFxqU5AClieqwfLc/WQlDxbm4QxxpiIrCRhjDEmIgsSxhhjIqryQUJEaojITyLyqfu+iYh8JSJL3e+NA469TUSWichiETklYHtfEfnF3feEiEgq8hILEVnlpvVnEZnpbqvqeW4kIu+JyCIRWSgiA6tynkWku/v79X3tFpE/V+U8A4jIX0RkvojME5E3RaRONcjzTW5+54vIn91tFZtnVa3SX8DNwBvAp+77fwKj3dejgYfc14cBc4B0oCOwHKjh7psODAQE+AI4NdX5KiW/q4BmIduqep5fBq5yX9cGGlX1PAfkvQawEWhflfMMtAZWAnXd9+8Al1fxPPcE5gEZOKuITgK6VnSeq3RJQkTaACOA5wI2n4lzU8H9flbA9rdU9YCqrgSWAQNEpBXQQFWnqvPTfiXgnMqiyuZZRBoAJwDPA6jqQVXdSRXOc4ghwHJVXU3Vz3NNoK6I1MS5ca6nauf5UGCaquapagHwP+BsKjjPVTpIAI8Bo4CigG1ZqroBwP3ewt3eGlgbcNw6d1tr93Xodq9SYKKIzBKRa9xtVTnPnYAtwItuteJzIlKPqp3nQCOBN93XVTbPqvor8C9gDbAB2KWqE6nCecYpRZwgIk1FJAM4DWhLBee5ygYJETkd2Kyqs2I9Jcw2LWW7Vx2rqn2AU4E/isgJpRxbFfJcE+gDPK2qRwF7cYrgkVSFPAMgIrWBM4B3ox0aZlulyrNb734mTjXKIUA9EfldaaeE2Vap8qyqC4GHgK+ACThVSQWlnJKUPFfZIAEcC5whIquAt4CTROQ1YJNb/ML9vtk9fh1OlPZpg1OcXee+Dt3uSaq63v2+GfgQGEDVzvM6YJ2q/ui+fw8naFTlPPucCsxW1U3u+6qc56HASlXdoqr5wAfAIKp2nlHV51W1j6qeAGwHllLBea6yQUJVb1PVNqraAadI/o2q/g4YD1zmHnYZ8LH7ejwwUkTSRaQjTgPRdLc4t0dEjnF7BFwacI6niEg9Ecn0vQaG4RRZq2yeVXUjsFZEurubhgALqMJ5DnARxVVNULXzvAY4RkQy3LQOARZStfOMiLRwv7cDzsH5fVdsnlPdgl8RX0A2xb2bmgJf40Tkr4EmAceNwekRsJiA1n+gH87NdjnwH9yR6l77wqmfn+N+zQfGVPU8u2ntDcwE5gIfAY2rQZ4zgG1Aw4BtVT3P9wCL3PS+itOLp6rneQrOQ88cYEgqfs82LYcxxpiIqmx1kzHGmPKzIGGMMSYiCxLGGGMisiBhjDEmIgsSxhhjIrIgYUwVJCIjRGSuiIxJdVpM5WZBwpiq6QqcEdmDU50QU7lZkDCmnEQkR0T6JfgzG4nI9QHvs8VdEyXC8e+JSKeATZ/iTMewNuS4SYHrDxgTjQUJY7ypEXB9tIMARORwnHUDVgRsro8zWrdhyOGvxvq5xoAFCVOFicgoEbnRff2oiHzjvh4iIq+JyNMiMtNd9esed9+pIvJOwGdki8gn7uthIjJVRGaLyLsiUj/MNcMeI86Kgfe4238RkR7u9ubirC42W0T+KyKrRaQZMBboLM7Kcw+7H19filfge92dhwfgYkrOxXMxcB1wVEjJYTzOnE/GxMSChKnKJgPHu6/74dxkawHH4Txlj1HVfkAv4EQR6YUzLfMx7gSJABcCb7s37tuBoepMxT4TZ9VDvxiO2epufxq41d12F87kk31wZu1t524fjbOYUG9V/au77SjgzzgrkHXCmekY97t/SnwR6QKkq+p8nOBxnm+fqu4A0kWkaQw/P2MsSJgqbRbQ150Z9wAwFSdYHI8TJC4QkdnAT8DhwGHqrAA2AfiNOCugjcC50R6Dc3P+XkR+xpl9s33I9aId80FAujq4r4/DmcoeVZ0A7CglP9NVdZ2qFgE/B3xGK5yFl3wu9n0mzqyhF4d8zmacNRmMiapmqhNgTLKoar67nsgVwA84s8QOBjoD+3Ce5vur6g4ReQmo4576NvBHnPn7Z6jqHrdq5ytVLa2qJtoxB9zvhRT/78W+IH3x+aGfsS8g7QC/xVmUx9f20EpE2qqqrxG7jnuOMVFZScJUdZNxgsFknNLDtThP4Q1wVrHbJSJZON1FfXJwFi66GidgAEwDjnWrcnDXNegWcq1Yjgn1HXCBe/wwnGnOAfYAmTHmcSHgu+bRONVabVS1gzrrqTyE2w7hBruWwKoYP9tUcxYkTFU3Bac6Zqo6K7jtB6ao6hycaqb5wAvA974TVLUQpwvpqe53VHULcDnwpojMxQkIPQIvFMsxYdwDDHOrvU7FWb95j6puw6m2mhfQcB3JZzhrpoBTtfRhyP4PAd9Sn32BaW61mjFR2XoSxqSQiKQDhapaICIDcdbq7h3nZ9QFvsVZ37wwyrGPA+NV9euyptlUL9YmYUxqtQPeEZE04CBOFVdcVHWfiNwFtMZZ5rM08yxAmHhYScIYY0xE1iZhjDEmIgsSxhhjIrIgYYwxJiILEsYYYyKyIGGMMSai/wcEmH1zQmk+pQAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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kp1waAfhUqapyzfMzOefxKUnNffry7Tw7ZYXr9PluZlV1NoaFJ/SZvu6FWWHSJZ94RgDf9f5/j9+xmMtAcxGR/O+R5Cpp2AaQMNkoUyT8RwBz/WLZJosr/v4ZAD881V3zkO/vW7Z2DlwrAFXtmUpBsoksvVc5TzI67748kvlCvbdwIyu37ePm0/rUKR//EaOqZrU74GybA8gSMVLGup0HIv72j2mr0idIEK5NQCJys4i08vveWkRuSolURl6SnMYm+Y3qTa/M5ZEPQv21xIt//bJ9V7Bk2UaASObWLXsr6DF6HNOW5e/2o5c+W52xsuOZA7heVXf5vqjqTuD6pEuUBlSVqghvqL8PmJrtztnxjhj+ZME9OXg40I9OdYACyAIBoyBk2TJQ7/9LN+0JcMExz2ueeiHJveRIPpDenLcu7PF8JR4FUCR+Y1pvTOAGyRcp9fzVs5ze977H3opDAceXby3n1D9MinhevCP6rzfvtTixScbfdg1wuKraccOcAf49c23Ad/9ebNYrgKDrmGl8l+ucx6dw9uO1rpErvU7Tkn057/7v52GP3/mfBcktKMuJRwF8ALwqIqNE5HRgLDA+NWKllrEz1wCwa3+gAtiwK7KdLl6WbNzDmX+azFOT4osiZEQnWAf/fvxSRv3xk4S8d7otIxL+I4Dqag0YAWR5+1+rAAJkzqDQfkVvK6+s+Xzr2HmhCZLAzBRu+sol4lEAd+NsBLsRuBknlu9dqRAqW6jL+7Bxt6NM5q3ZWScZNuw6wDOfLLclqUH4eti+3Zvb91VGS54iGWo/K4FLGbN+BOAzASWpYa04VMXP31rEnqBRdSS2lR8MnDSPIUeyL2eW35604SYm8BgR+RbQVFWfVtVLVfUSVf2bqmaHM/E85vp/zubh95eyJok93Fxmy17HPvy0ZzmQWf981UEmH82hEQBhRgB1YezMNbz02WqenPB1zLTLtuyl9DcTAiY/Y8kR/PPhamXN9sTfiXzfd+AWNyOA54HBwHsiMlFE7haRwSmWKy1MW579Kwv2eSOT5cNUQjwv3fKt5Sxavzvi79OWB/qxz8QIKbjB332gtveb/SMAB38p6yKy7/mscpHJiq37AJj81dbasmOcE3x/X1hUyYhHJrkecQSTD+9TMnATEOYzVf2Vqp4KXAasAX4qIvNF5HkRuSzlUqaIu/+7MNMiuKbQTECj/vgJF/z504i/Z0MD6z/Bryg3vTK39rfMixeVWmdwyRW0ulrxfBk9wmsijuiCky7e7hgfDlQmZoTIgscnK4hnJzCquh1n8ncsgIgMxQkNmZcE91gTMTfU9TnL5s1EGSWFL/Aql6aFaJO+2a6wwz1VyZD4H9NX84/ptaadFVvL6dW+WdiyA0cfoaXv84vLPWd13ebSQsnu++NPKp+leDaC3e4NByki8qyIzAXaqepvEy1cRO4UkcUiskhExopIo0TzyjbMc2hqqRkBhIlstXLbPnqMHsfHSzczddk2fv3uF2Hz+OSrrSEOuub6Tdqf9qinJjpYOPzND8HvaLU6QUb63fc+s1Zl34qTcKuAwrFo/W56jB7H+gRXyD38/tIoZfuPoEKZ8nWtiWh/ZRWzVu2g9DcfRb3ubsly/RzA63NStzchnlVA31fVPcBZQAfgOuChRAsWkc7AbUCpqg4EioHLE83PDSu37ePt+evjPi8RDZysSSZf2fk6Eti0u4Jxn2+M+zyfrTncVZnr7S2+u2AjVz47g+c+XRk2j+v/MTvAQdfq7fu4+K/TAtK8EWVj0NJNe2o+B5ukqlWZs3onlVXVPOOdsM4manvhge4rdu2vZH9lbc/7lRlOb/6TL7eSCBVhgp+H24MQ7hXzH2FVVSt/+ugrtpVXBgRYd/OeqSofLN7EoapqqquV3fsP1cmE2LZpA/565RDG3XYK3yntmnA+bpm/dlfK8o7HBOR7Zs4DXlDVBVL3Vqke0FhEDgFNgA11zC8qZz8+mcrD1XRt0zjkt+Vby1MwzEwe2W5SSJTvjJnO6u37Oevoc6lf7L4/Ehx+MWBC1vchxtNZWRWYSfC+kFhMXVY7ER18d6pVqecNu+VmYjSZHKqqpl6RRO00RLLDH/vgRxzRohGf3euE7PZdZ/+sZqzYzs9e/5zxd5xKkwZOExKppHA7bsPtQlY05BkPtu/7/xxPwzP562386KU53Hxab+oXF/G4i5VK0bhyeHfOO6YjAH1LmsVInd3EowDmiMiHQE/gHhFpTh0Cw6jqehF5FGdS+QDwoap+GJxORG4AbgAoKSnB4/EkVF55eTmVh53H5sCBiprjvvyuHb8v5JxPPplMg2Jh5UpnjfmaNWvweDa5Km/hVqcXtWP7joRkvvfT/XRpVsSBA84lnjlzJmuaxjNgc+qc6PVKBQsWLKBqfeAj59vA9cknn9Q0mP5Ekv9ARQUej4e9e7z7LebOZe/KYsrLy1mybgkAmzdtjpmPP3Pnzgk5tmnTZjweDy99cZAWDYTuLYro0bKIVg2LaNNI2FHhtEpTpgS6U542dRpr9zr3buu27Um9D/sPKQ2Kqble/vd5T6Vy28f7uWJAA87uUT9iHps3O8tp35y6uOaY55NPANi0p6Imvw0bnXRfffklnv2Oe+cHpx9gze5q/vXeJ/Rp5cTQXbYqvPKcuTL0+fe9G9t31JrGpk2dRvMGtfff4/Fw/4Tad7JIYNcup4O2YMECVKsBYdq06bRt7LwXOyuqOVwN7ZsEvifTNzjl/WVS+JFYvPdm9apVeDxOX3W5t96lJcXM3pyaVfEbNmygvP6hlLzLMRWAiNRT1cPAD4BjgRWqul9E2uKYgRJCRFoDF+EolF3AayJylaq+7J9OVccAYwBKS0u1rKwsofKci+c8UI0aNYIDTsNRk9/4cSHnjBgxgkb1i1lU/TV8/RXdunWjrGyAq/Kql26GObNp07YNZWXD4pZ3w/hxbCivome7prB/H8OGDQuYTHt/4Ua6tmnCwM4tI+bh8XhI9HolFe+1HTRoMCP6tedwVTVVqjSsVwwfOL+VjRxJPf8RgPccn/x/mbTMuRY4K20aNGhIWVkZT3wxFXbv4rghxzG0exs8Hg/9j+gNiz6nY8cjYMO6gHzCyeVj6NChMH1qwLEOHTowsPQoJo6fEHB81cPns8Pv/JNOPgUm1PZfhp94Eu22lMOcGbRs1ZqysuHurpULeowexzlHH8G3S7vQs11T1iyeXVO/Ret3w8efMn93Ix4qOzViHu9smQ8b1jNlfa25Z+TIkfDh+0Dt9Rq3dQGsX8eAAf0pO74bQO01P8655gArPl0JS8PPtfjymrZsGw+9v5TbRx0Jc2bTunVrZPs2VOHEk06idZMGAeUf8Lu+lw/rxsqt+2DHdo4dPJiihTMBZfiJJ9K5VeOa6wLOvfFnz4IN8Pk8IrG7VV9gfsTfg+neowdlZf0AWO6td4cO7WGzu85hvHTq1Ilmzban5F1206X8TETewumF7/A5hFPV7aoa3qGGO84AVqrqVlU9BLwBnFSH/FLOf+dmj6OoG1+ZG3WZZDbiMyOc8dgn9L/f8SLiG9UP+fVH3PNG5GW5j3zwZdAyy8A5gC17DrJx9wE+WXeoJtNIk2eqWuNjxp9wttZIxpsdwTuPQyaBlSLv2xXJ8WBdGL94Ez/4x2xO/+MnLNleRd/73mPX/kqKvaOCWD6owi1SCGep8h3yNycVxbmM0+d6ZfQbC1m4fnfNLnlHjtqyo12n+kXCzAQn08MMLAO4/d/zE8rXn1xd9BFzBKCqpSLSHTgXeNw7efsp8D7wiaoejJpBZNYAw0WkCY4JaBQwO8G84iLRmYvNe9xXdfJX2b/JLFP4lln6e33cU3GYsTPX8NDFx7jKw9dWbNrtmPNufGUufTo0Y9mWSo7ZGd297sPjl/K3T0KjVf3i7cUhxyI1cnf+Z36QPKGTwDUNZVRp4iPcXNC4FYc4VKUsWLebTi2dhXTR5h1+9c7imJ2Zqcu20a+keYii9f9c7d38tnVvRcj5/tzzxkKuGNYt5L3zF/HaF2YytHvrqPnUKAi/fNzMjRUl+sJH4KJjOyU1v0ziyqisqqtV9RlV/SZOL/1/OD34KSISajtxl+cM4HWcMf1CryxjEskr2zhQWcWLcbivnfTlloAlb/lK8LtafvBwHZbxOSce8us1+hTKwjA7iP0binCNf8RyCK8Edu6vDEkXWF6UHxPg5c9W02P0uLCdkEXba23PRb6JZ7/r8vO3FnHTK7XzG26ezSufncF3xkyvkd1/BOC/jPP430zgjMcmh8khFF8Oj374lXM+tUFzlm7ayysz1tSkvdlvtAfg+Srw/YgnoE2sEUC89G4fZuI3QhldWocuOImXV2as4fWvUuPrKr5ZRcBrrpkHvKyqw/BO0CaCqv5SVQeo6kBVvboOo4k4y01t+nhXfVz3wiyufm5mdBniEyEnqMuw2dcz3brX3SOTqBVGNXR1CjhLioPTBcuXzHbntdmO6+kV2yK7vp61cgfF3gbVf0Ty0mereW9hbPv05KBGdsXWfTXPnX8jKn4jG99KKjedbN95PpcZuw8cimj2GbcwcGnwar/Nec9NqV3WG+5VCzbvJXME4JtvcEvwJrhEeXdFYi4vYhHPRjCPdyNYG2AB8IKIPKaq8S+szzCpXpWXzBc/Ny2LqSdcuxFt2WOi676V8Mp3b8XhgO+fBkWsqlb/hrLuD5wvr0ejRC57atKymsYukXmHH/4z1AJb7t2N67u0l/1teo0rZf9rujPGEloNoxAXrd8TNm0sJi7dwsEqDZHBx9Sge1GcxCHAhJ+MDHtcIqQJt7Itm4hnBNDSuxHsYpx9AENxzEB5j3+7ko27OvMNn10fIvt62X3gUM0mJTckvPFH3XUYgicSnZjAvs+JFe2Prx1xG8A9WYGIfPn4RmsBfvT9inhyYvS19W/P35CS3ky4+xpsnkvmCKBxg+KA722aOkttu7VpUnOsT4faXn8yy96ZApfn8SiAeiLSEcch3LtJlySNuG0MfMn8k3/7melh036+bhfjFznD7DzdtJsWeowex/CHJtZ8j+bt8b43F7nON9FGeNzCjQlFHAuOFeCjx+hx/O69JXHn57Yh8Y02qlR5/tOVXO/Xq+8xelzcGwprVwGF/haPjlmyaU/IqKku+MR5yTs34v+c/OTVBcxetYNt3jmhVL6PFw3uzKPfHsydZ/YL+3scextjciBCGMu6EI94D+JEBVumqrNEpBdQty11GSIVniQvfGoqP355Djv3VYY0Nmt37I9Le9fFz3km2LmvknU7w8t8x78jr79282KqhsbejUTI0sygfBLlsxXbYycKKU9rOgt7DgQqsTGTo09C+/feD3tt7G4VgG8CvKoaHnz3Cz76YnPA74eq4rsQvndl1bb9IffhqiA/StFQdT9f44a93kv6wtRVALw+O3BV06XPTK+ZV0tWL/yRSweFHCsqEi4d2iXiLvZkmp9SochcKwBVfU1VB6nqTd7vK1T1kuSLlHwqDlUxdmntw5fKOYBbxs4N8XFy6h8mMSJKrGF/lm8tZ8Qj7tK65UBlVUpjH5zy+4855ffhZX5rfq13j0Quu6K8tzB+X0HBVKsy8pFJ3P16/FtXErGn+5/y9ZbyALMWOL3xcIpl2vJt9Lr3Peat2cnHSzfT5773WbR+t2tnbLf8a55X5vCb9N0qUx++evxpwlcJXTsfL0xdGTtRHXgkzNzIko3OHEOyFMBZRx0R9fcP7xzBn74zOOBYMn14pWKvgWtXECLyZJjDu4HZqvp28kRKPq/MWMMHq2qHn/G+z9GSvzprLev8Xs5NuyvCDrP3HnQ3/H1peni7dl2U1ug3Puft+RuY/LPT6Na2SewT4mRfgj7Z3VCtoX5/EmHHvkpWb98fsJrELX9NwJlb8Chz+EMT+eCOEQHHXp21luG92gYc83idrs1cuYPVXjcZ89buitsb554I5pbt5fHZkf2fZX9lHi/xjjziJZJ5pLpaE14G+sNTevKsnyNBidFd7lfSnH4lzQOONUiiDSgV88nxSNcIxxXE196/QUAb4Aci8njSJUsiob0hl3MALtLd9d/PQybA6vKoB/dWkjFs/nLTXqB2RUeq+OE/ZnP/W5F38+4/eDjuAB63jZ3HT19bUFfRONXlCCxZhDMzzo0RH3pPxSHW73Qa+iKRGqWfyHsfadRS9qgnrnz2pfiZSTUL1++u2RsRi5aNA30n3X/BUQHfE7kPPw/Koy6kwiNwPM7g+gCne/0CISJPAx8CZ+Js5MpagodOqY7WpHXosQbf471By/DSzZa9FQz77URe/sEJnNK3nXNsTwUtGtenUf3AFRETljj25t98M/xu3htfmUvzRrWP3MQlm8Om8yebPbRGI3gjExDV1QXA5X/7jC+8Zos35q2nXxZ4mnS76iib8YWgjEXj+sUBYT2DScSU1KZpg7jPSSfxjAA6A039vjcFOnkDw6dlA1eiBN+3eCeB40m+fV8l0xOYNPQR6RFLxrxFIkpkwVpnUvHFabVD4WG/m8j3X5yVkAz+K0F+9b/wzsPyATdRxXbsr6TiUFWNrdrX+INjv37ba3JJhS+hQuLeN931T2O9H8l2KREvqXAJH48C+AMwX0ReEJEXcXYDPyoiTYEJUc/MMuLe2RuHEXrX/kP8+OVQt8LgmDMirZbxEekZW7Utei9m2vJt3PTKnLAPSV2eG3+/L4HlJa7kDAfPl1v56asLOPeJKVF7no9+GHnzl5E8YjXvmV7enYpugCsFICJFwBIcP0Bvef9OUdVnVXWfqv4sBbIljWDbmdsRwCVPO8v4khXQ450FGzjl95NqlvaFY3uEpYyxNj1d98Is3lu4iYpDkfNO5AH2ebTMhiDs+cgM78aqg1HWeCdz/Xyh8c4C9xPXsWzsGVcAKXgF3TqDqwb+qKobVfVtVX1LVVMavSuZBM8Bub2QvqH54ToMwcNNor38WfjGfMe+St6YG96zhuKsaPhiQ/jt87Vh9iLLOi8Be67vpTArhDtuLOud2Im2eTAlRAoH6pa/f6+05nPGTUApGAPEYwL6UEQuSUIYyLQTLHA8vdnHPvwyLu+RwcwOM4kZaTVO8BZ2f1ThmcnLOe/JKWH91ocLs1dzrvfBiTUJGY5a3+/xP3z5GsYyGvEu1dt9IDVeHo3kcOZRJTWfE1UAg7q0TIosGRsBePkJ8BpQKSJ7RGSviCTmzSnDxHMhn/x4WdLLP1ytTFu2jQf/94XrZXYKzF7lKJNtYZaGhgu0HS+qGrIL2ffIT/l6G8u2xOcSoRBHDVGse2FJ9fp4I3kk2vNt16xhUspPhRk2np3AzVW1SFXrq2oL7/cWSZcoBQQPWlLhUyMe/jJpGd99dgbPT13J0y43GalqjSkq2PMk+PtHj28SePf+QzXuc8fOXMuIRyYxZ/VOKg9Xs+/g4YBezx3/iezWIRwb4ty8lG00CXL8FY7LSrsEfG9QnHMDZMMlmbZ9ZHQEIA5XicjPvd+7ikj8wW4zQLJv3L+8gSu27IkeCSkS/r2+HX5mn8NReoMVh6pqGnf/gB6rt+9j0+6KhCeqBz/4ITd6Vy35/Mhc8vQ0rvj7Zxz9yw8CTBr7DwYqzq827406Krh8zGcJyZQtvHDt8THTtGoSuM67b9BOUCP7+fTu04DIJstG9Z1mMh7r979vGB7iFiIbiccE9FfgROC73u/lwF+SLlEKiHbbErFT3/vmQnbsq2TY7ybGThwDfyVy9uORIyvNWrUz7HrwtTsOMPyhiTWrfxJRAxOXbgECe6++DVjL/Dxhrti2j/2VtSars/40mTMe+yRivpsSVJCZwj+Y+Pu3hw+o3rpJ4G7R4HuS6DA9mvI3UotvlBtpx/D/bjmFX34jvh29w3u15VvHOaPD3u2d7VP+myATIdNzACeo6s1AhSOM7gSye5ubl89WRvbhHyuQRSReTJJzq3g2+WwJY/sPdpccbhey23mGZWHcHge7Lp61yv3O3FyeBD6yY3jrZnAvMDj6VKJVjubJNBfp26EZx3ROzuRnqunYshE/HtmbF68Lb9DoW9Kc607umXD+Pzt7AC/9YBjnDozuTC4WGZ0DAA6JSDHeTqaItAfq5KZLRFqJyOsislRElojIiXXJLxLjPq+7N8lgtpYnZ/PzpC/dxwIOZ25xs8Jpw253PfGpy0I3dwXvK7jm+eihKwHOeXwyW/ZWZDSM5RXDuiV8bn+vGSec/MGdxGAFkOhLmqubve45dwAXH9c55PhlpV05tmur9AuUACLC6HMHBARySSYN6hVxat/2dV5GmrGNYF6eBN4EOojIb4FPgd/VsfwngPGqOgAYjLPZLK0k2ktdHGE9froJ7pFmQ5976aa9/ObdJSkPvRmNRINxf/mbc3j3tlOAwChPtdRe7/MHdeQnZwUGAkl05ZMnjo5Aojz+nWOTml+vdk350cje3H3ugJDffnhqz5SsW89l6rqCPqOuIFT1FeAu4CFgI/BNVX0t0YJFpAUwAnjOm3+lqu5KNL908/m63ZkWAai7n6NUsS1JI6RESTQQR8N6xTXBPTqFCQDun227pg0oadGIozvVmouy5fqH45theurJIFy7JiIJKcNbTutTd4Gi0LNd09iJUkSkR3LAEe4WDqTiyYprVkJVlwJLk1R2L2ArTnD5wcAc4HZVDXB6IyI3ADcAlJSU4PF4klS8w9Sp02jRMHeX7i1eFBgWcerUabT01qe8vJwPJwa6QfZ4PMzadJhWDYW+rYsDjieTTPsKWrki/s17bq5BZWWtrX7d+vV4PNsoL69d7rpkabJej+Tj8Xi4oFd9Zmw8zNYDiTcnJ3YqZvG2Kr7R7TAej4fdB0Pz8ng8rF8ffydgz+Y1Cct1Xs/6TFh9iMoohulflsK142u/lzSRgPv+hxGNuWuycz+T/U5s3Bj+euzb585b6YwZM1nbLIkxJolTASSZesAQ4FZVnSEiTwCjgZ/7J1LVMcAYgNLSUi0rK4u/pPHjIv60pn4XbinrGzVNNjNw4ECYV+t87qSTTqJ9c2fjye/HTuDpTwM3dpWVlXHtaKeuqx4+v6beZWVlOXsNwnHtOSfwny+nuE7ftU1jwj1bN1YsDdir0axJI3YddBqI+y87hZ7tmtLs8ymwxzEJnnvyUF5YFD5udKYpKyvDV8UeoxO/16OO68fYU3vVfN+8pwImBa6IKysr4/1tn8O6tRHzefkHJ4SElfzeOSfyzy8iryzzp2Xj+uw+cIjzB3XkoYuPoVmDepz08McRV5/dfc4Aysp6BzznM35xXki6uyb7vRNJ5OPdi2BNqBuYZs2awd7YJuXjjz8+6cuMk6tO4mMdsE5VfU/A6zgKIa2s2r6f3QmuBMoGJn25JeC7v9316QXue2CxvI1mO/WCxteRVvFEojiCffaq4d0Dvl88pAs/GtGLz391VlhzwrCebeIqN1n84JTIq1ROH9AhJBqZG07r395Vuki+snzmsDOOLAk4PryXc42KwrQ+8UzE+m6ZAC0a1aeoSCiLInPwEt50k+uTwElFVTcBa0Wkv/fQKCDtDuIF+GrL3nQXmzTW7AhyLx3jKfl83a6wx/8ZIRRlrvD2LSfX6Xy3E3QNioV7zjuSFo1qG5PTB3QAnB6tG5IRKPyZq4bws7P7c+cZziR0tByfuWoo/V3amX0c27UVj3zb3UamTi0bhT1+weBOAFx3co+4ynZLtVfx+Cv/X39zYOT0Qe9GKkIsRiPSI+ZWjozsAxCRHSLyrIiMSoEjuFuBV0Tkc5xwk3VdVZQQvpCJuUjw0s1Yz8iFT02tTev3RL02O/JQPRc4okX4RigWPm+Pbh/scK/AnWf0Y+a9o2oipsXiycuP40Jv45go5wzsyM2n9anZpeq/iWlwl5ZcfnxXSlo4psAG9eLv54m477GKCPN+fiZ/vXII5w/qyHHdWgEwsl97Vj18Pr3ap2bi1beHpp5f3N36UWLwBq9KSrd3z4Gdwu+LiBVs3kemvIFuBeYDDwLrROQJERmejMJVdb6qlqrqIFX9pndzWdr5anPuKoBg9ldWsd3lChz/HoXboPXZSrhedbtmsfcp9mznLPWM1Ba4aSKKioQOfgrotlF9az4/cOHRgOMR0rcRSCS2ol718Pkhdfp+mM1Ivl6tUKsE//OjE3n4kkG8cdPJ/OW7iVlVi0QimsVaNwm9rq2bNuC8Yzryl+8O4c2bAkdj9YJsPY29oUQj5e8Wn/uTaI2+P307BI6C0u3b54LBHcMeb9HY3VRsHHGpXOPmyu1T1adU9WQcVxDrgb+KyAoRyUiPPZkouT0CCOa0Rz0M/Y27AG3Zu2AxObxwbeDOzkn/VxaSpqYBdd3bjZ3mjlF9GXv9cN6//VSuOakHn959GmOvHx6gcN2s6fYVde1JPZjwkxH8Ipo7AnH8zzx40dE1sZo7t2rM+YPCNzpuypYwrcMfvz2Yb8W5nLR984Y19vcBRzTnD5cO5tbT+3B8j/DzJVcM6+oqX9+GvWE9W8dMe+ZRJSHzM9no2f6EKHNIqRgBuFE9NVdJVdfghIb8g9d2f3nSJUozqvk1AoiHfIo1K2H66q2b1trpB3ZuQavGznff6hGAHm2bMrhrK+4778iw+QZfofrhZi6DKCoSTuzdtuZ7l9ZNvHmpV9b47Lk/O7s/TRs6r+pZR5Uw3W+JrX+j0KNdU3okaZ17sAloaPfWPH3lkICRTjxcMqQLz366kkuGdKF984b89Kz+EdP+7lvHsLfiML3aN+PJiV9HTDe8V1v+etVQOgft12jVpD7V1cqeisMM7NyCtTsOcPc5oeU9cumghOqSKPWLiiiS6JsFj+zYoiZKnI9ubZpwXOtDCZs5o+FGAUwKd1BVvwQeSK446Wdb+cGE/QHlOq/muN3fn5ZN6vPidcdz7Qvhg9UXidTGTPBrfRvUK+LtmyNPIPsmGLu2acw5Rx/B1Sd2j5g2Fr4GVSTyhrEfnNKTn18Q2NP3b4jH+EWoglpFkix79oAjmrN0014kSKXee96AhBt/8B9pRU5Ts6pHhKe8pqsmDYpZvX0fY2eGPqsiEtL4A8z/xVl8sHgTP3ppDke0aMy7t4Z37HfRsanZGBeJoiJhxUPn1yzBfeOmk5izamdMM+Pku07D4/HQNklxBfyJqQBU9SdJLzWLyCfzT7w8/H72blqKxfE9Woc4pivr3yHgu/8QX0Rqvscz7ilp0YhffuMozj76iLA7g+PhgQuPpnXTBpw+oISPl24JmybcipBojaZPmSWj+X/zppPo2a4pxz74EdeP6FVznZo0KGZo97otb/UpvGhml3A68ccjnRCbJ/Vux8j+7Rn0qw9rfmsYZXJboyicx79zbM1emUwypFtrhnRrnTTHkolQp2WgIvKLZAmSKXLNZbFb3Gz0iRSaMh8RoHnDegzu2oo/XXZsXOded3LPOjf+AB1aNOJ33zqGBvWKQnr5PooClFbg/9GIdwAQbm6gSIRWTRqw6uHzOfOoEhp5G9hbT+8bkjZefIoq0aWX3xjcKWDpbedmUqMc4i3vm8d15uQ+7lZsZZqT+7SNnagO1HUfwA+TIkWGadM0J7xaG37Euya6SJwh+Ns3n8wZR5XEPiHFNG9UP+ya9XCmoXDzGz4SXRv+58uPCy0nqJh6xUWsevj8xAPd+1HtwlQVjxK7rH8DGkeJ2Oa7LNGuXS7w3DWxgxLVBTf7APZE+NsL1G0xc5bQryQ1bmCN1BGvt89sXPFx9fDu/Ghkr4BjvsleqN1BG63X7Gvo4p0DKCoSpt9zOjefVtu4p7Kx9E1WB9flheuO5/7zw0/AR8P9vo24s047kZ7Nzq0a16zoShVuRgC7gL7eOMD+f81xvILmPP0tjF/Oceuo2GaJFn4RmAZ2CnQNke5doJEIbnT9N209fvmxTB19esBGp2Cq6zAH0LFlY1o1rh39prKxvOOMflx0bCcuHhIYQ/m0/h245qQecefXMEbsZd/ms2w09TR1EWsa6r673Q1uVgH9E+gObA7z27+SK05m6BfnNnkj8/gvx/S5YgimeaP6LPjFWSzbWh4SnWrq6NPZsiezLqvD4a8QGtYrDrvKxZ+Terfj8Qlfc1KCDd0xXWqvSyoVQLtmDXkijNkJ4lNePdo2YdX2/fRrHb3vOuCIFsy8bxTtU7Bypq5Mu2cUBw9XxUzXLg2yxxwBqOr9qho2DJSq3p18kdKPjQByhwsGdaR5w8B+S7RQey2b1Gdo99Yh7hA6tmzM4CyIWBW86cm3M9ktw3q24dmzmjC8V2KThcN7teUbXrcUmZoLi8c89/7tI5h13xmuzunQvFFWmv5aNq5Ph+bJX9OfCAlNAovIr5IsR0ZJtotVI3U89d0hLHzg7IBj2fiSu6V726YBwejPGRj/zt1gT6jx8thlg5n405F0bFn3lU6J4JP+O6WxdwA3blCcFUs4k0kmH99E4wFcCPwqiXJklJaNM+sm1ogf/5dmaPdaVwA/HtyQ0sHHZECi3KV+cRG922duIURRkbD4gbNTPuFphJKoAsjdLpeRF3Rp3ZhbT+/DJUO6BLg/GN6xHmVZsMzTiI+mDTMZm6pwSfSqD02qFBmka5vMDHuNuiEiUf3JGEYukorA79FwpQBE5Gzgm0BnnKXHG0TkbVUdH/XEHODk3tm3TMwoPCb8ZERKAn4Y2U8mzSkxFYCIPA70w1kOus57uAtwm4icq6q3p0681PPARUdnWgQjiEb1i3jlhydwydPZGVs3FfTpYAsRjPQvaHAzAjhPVfsFHxSR/wBfATmtABrWs4mnTNKjbRMuGdKFV+esZe0OJ9j6vecdSa92tjvbKDzSbQJyswy0QkSGhTl+PFBnT2oiUiwi80Tk3brmZeQeRUXCraP60rxh7Uqs4Hegfoxdn4ZhJIabEcC1wNMi0pxaE1BXYI/3t7pyO7AEaBEroZG/+Lf5qhqwzHPyXadx4kMfp10mw0gLGdwI4CYewFzgBBE5AmcSWIB1qrqproWLSBfgfOC3QF7HHTCi4z/0VWpdIjRrWC9jG5QMIx30TlIUt0RwvQzU2+AHNPoiMkBV6xJV5HHgLiDiDJiI3ADcAFBSUoLH46lDcaEkO7984YZBDRnzeep95RzYvx+Px0PvxpX4HqR6O1by6dRVAFRVHQ64R7HuV3l5ecHdU6tzakjnNT29az0+XnuYdevXhy0/VfWt6+6LD4FuiZwoIhcAW1R1joiURUqnqmOAMQClpaVaVhYxaWTGRw6OUpNflDSFyIlDBzFhwxes2LbP9Tkn9W7LNL94tZG497wB/O49p7lv0qQJZWVlnDpC+WX5wZqwg7v3H4KJH1KvXj3nHnnvT6z77/F4YqbJN6zOScbls5ZMVtVfycdrv6BL586wZnVI+amqr5tloE9G+gloVYeyTwYuFJHzgEZACxF5WVWvqkOeRpKQmn/cEynObTD+yXzL3oqLJCDmrH8AdcMwUoObVUDXAYuAOUF/s4HKRAtW1XtUtYuq9gAuBz62xj89tHXh9TGRIONuAooc36M1TVxs+68Jdp4tjvsNIw9xYwKaBSxS1WnBP+SbV9BCoZ6LZZWJLEwY1LUl01ds5+rh3Xnps9Uhv7976yn0bt+MdxasD3N2IHUJdGIYhjvcjAAuBeaH+0FVeyZDCFX1qOoFycjLiE20YNo+/HvzL1x7fIg//XD08XqU9PdNP/8XZ9ac26FFw6hxXMPKkcOung0j23GzDHRHOgQx0kfjKG53mzQoZn9lVUCc5K5tmvDOLSdz7xsLmbtmV8RzLx3ahd4dmnGcX6CVVk0a0KJRfbaV164o8g/TF0kZ1Qb1dnj2e6XsOnAoYtmGkSwW/OIsJKFIKXUn3e6g3EwC/w9nFc54VT0U9FsvnM1gq1T1+ZRIaMTk/vOP5DfjlrhOH+0hu2BQR/5w6eCQ4wOOaMG95x3Jpc9E9s8jIgzp1jrML4EldmndJCAISjhaNq5P26YN+OWFjq+mM8zFs5EmWjZJf3yQTI103cwBXI+zSetxEdkBbMVZtdMDWA48papvp0xCIyYNXZhn/Im2Wif8RK6TvrRHG1754QlMW76Nv0xaHrWMP1w6iEFdWkZNE436xUXM+fmZCZ9vGLlEun0A+XBjAtqEs1nrLhHpAXQEDgBfqer+1IqX3ww4ojlLN+2N+7yLju3EvoNVTFiyGYDWccZyrY7yrH3vpO5Rzz25TztO7tOuRgF0ad2YdTsPhKS7LCC8n9nxDSMbiWsjmKquAlalRBIjhEb1i6g4VB1y/InLj+OmV+YknG+PtuEDj3v+rywgulYtkRvwD+4Ywc79le68qpq/e8MIS6ZMQBma6jDccEqfwGA1//j+MB65dFCd8y1p0Ygnrzgu5Hgiz2DThvXo0rpJ1EDdtpDHMLITUwAZJPZmq8DfR/Zrz7cDTCsO/ubDpb8+J2a53do0Yff+0D18iWz+coNFujKM7MS1AhCRDmGOWVDWOtCycfTVBm7bY//2tVGUJZ4A4+84lUb1i13tsK1NYS24YeQj8YwApojIZb4vIvJT4M3ki5QfnNS7bcw00Rr4N246KaD/n+zg9eFW+8TjduHjn47k45+OdFeWmYAMIyuJRwGUAVeLyGsiMhknTnC4SGEG4Ru9xy4LXV8fieD19FPuOj0w/xSsrIknx17tm9GrvYVtNIxcxrUCUNWNwHjgRJw9AP9U1fIUyZUTDOvRJuJvN47sE3Ls4iFduHhI55rvsXrGrk1AXiN79wire9yS6p66GZIMIzrpni+LZw7gI+AEYCBwHvAnEXk0VYLlAk9ccSzguE/w544z+lLaI7AH/8TlTtqrh9eus4/Vi493UnZQl1au0/qyblBc+wgEy/O7bx3DoC4t6dqmborFMIzoZMpMGo8J6C+q+j1V3aWqi4CTgN0pkivr+ejOETTyrn0PvnfhtPhFx3YOPRiDaA/FucccAUBZ//Yc2dEJp3z6gPYx86zntfP7sv7WcbVyaVAf/YRebXnnllPcrfE3DCNhMrVSLp6QkG8FfT8M/DrZAuUKfUuas8u7lLJh/WL2VVYF/O5Go9cvFvqVNOOrzeEtadFGCBcM6sSIfu1p0chZSfTFg2fTpEHs29mnQ8TomynD5oANIzuJxwS0V0T2eP8qRKRKRAp2BACOp8ufnNmPsdcPd31OGz+3Db+/ZFB0zR+j5fQ1/oCrxj8cinKENxKXrdc3jMyQ9SYgVW2uqi28f42AS4C/pE601NO3Q91Xsdw2qi+924dznxCe7m2bMu62U/jqN+cGhEAMR1m/2CadcLx76yn08dZt1IAOARPPPvwfON/nVLf/pmAMI7tIeCew1yR0eqx02cz1I3qlJF+R6I3d0Z1augqwctZRjp2/eaP4evcDO7fkeO8k9OlHduCxy46NmFbVTDSGUajEYwK62O/vUhF5mDp0GkWkq4hMEpElIrJYRG5PNK+EZUhWPkHjt3hW75x1dKif+5IWjl+dugWliC5DuPmFVLuktQ1hhhGe0/o7jha+XdolreXG07X8ht/nwzheQS+qQ9mHgZ+q6lwRaQ7MEZGPVPWLOuSZFRRJbJcMPn5yZn++f3JPqlTZd7CKkhYNaxRI84b1+NHIXlw0OP4VRBcd24mxM9cEhGeMhC9Ie6o9EpoJyDDC07VN7CBJqSCeVUDXJbNg78ayjd7Pe0VkCdAZSJsCcNPglbRoyOY9B6OmCc7Fl++FgzvxzoINUc8tLhLaNvN60gxaoCMi3HPukTFlDMfwXm158Zym9I6xW1dxYv6+NW89nVpGn5NIFOv5G0Z24iYk5J+JYupR1dvqKoQ30MxxwIwwv90A3ABQUlKCx+Opa3E1LFmyBM/eZVHTVB4M9ZoJBMgRHGFr5coVeGQd57dX3sEZESRTbreUl5eHlOv7XlXuxBnoxlaWf76TY4rhk0/Wp0SOg95rOH36NFo3Sq0D2nB1zneszvmJf/1SVV83I4DZSS/VDxFpBvwXuENV9wT/rqpjcGISU1paqmVlZfEXMn5c2MMDBgygzOdeOUKaxo0asvNgRchxfzlUFT54r+Z7n969KRvZm8NV1TDhfUSEhOSuIx6Pp7Zcb/385bjigvTI8VzPHTztWc6FZ5VSHIfDuUQIqHOBYHXOM8K8q6mqrxsFcIaqXi0it6vqE8ksXETq4zT+r6jqG8nM22X5SUkTzLCekX0EFSJDu7fh2WvsmhhGtuFmPD5URLoD3xeR1iLSxv8v0YLFaVmfA5ao6mOJ5pNs5gYFIi9ycYX8lcTXvz23xpOnzXkahpHNuFEAz+B4AR0AzAn6q4t56GTgauB0EZnv/TuvDvlF5LffGgjA379XGjNtm6AA60UiLPjFWcy67wzqF8ceDdQvDr2kNgdqGEY2EtMEpKpPAk+KyNOqemOyClbVT0lT23jlCd3pfGAlZUeFrrmPRfe2TWnZxHG5MPmu0zjxoY9dn1vsHRmEC+OYbt6//VQ27DqQaTEMw8gi4lkGmrTGP5f4s1/w9I4t44vKVVQkLH7gbNd7AlLJkR1b1HgNNQzDgPg2ghUcJ/ZqGzNubyyaNrRLbBhGdpLaRdlZjtnmDcMoZApaARiGYRQypgAMwzAKFFMAhmEYBYopAC/HdG6ZaREMwzDSii1R8fKv609gy95Ar5/mxdIwjHymoBWAfwPfvFF9mjcKXPJp/usNw8hnCtoEFKuBV/PmYxhGHlPQCsAwDKOQMQVgGIZRoBS0Aog0yXvxECcG77CesePpGoZh5CoFrQAizQF0buU4fauX4uhVhmEYmaSgFYBhGEYhY8tADcMwsohnrhpK++YNYidMAgWtAAzDMLKNcwYekbayzARkGIZRoGRUAYjIOSLypYgsE5HRmZQlHs47Jn0a2jAMI1VkzAQkIsXAX4AzgXXALBF5R1W/yJRMblj223MpsskDwzDygEyOAIYBy1R1hapWAv8GLsqgPK6oV1xEkS0PNQwjD8jkJHBnYK3f93XACcGJROQG4AaAkpISPB5PQoWVl5fj8Xj4v9JGPDq7AoClS5fi2bMsJO2q1ZUArFy5Eo9nfVzlJCpfKvDVuZCwOhcGhVbnVNU3kwogXDc6ZGuWqo4BxgCUlpZqWVlZQoV5PB7KysooA5Ydnsdb8zdw5JEDKDuuS0jaOZVfwvJl9OzZk7Kyvu4KGD8OgETlSwW+OhcSVufCoNDqnKr6ZtIEtA7o6ve9C7AhQ7IYhmEUHJlUALOAviLSU0QaAJcD72RQHsMwjIIiYyYgVT0sIrcAHwDFwPOqujhT8tSVP357MMd0sbCShmHkDhndCayq7wHvpb3cFOR5ydDQuQTDMIxspqB3AkvYeWho3sjRi80amqcMwzDyl4Ju4SKFfLzu5J7UKyri6hO7p1kiwzCM9FHQCiAS9YuL+P4pPTMthmEYRkoxE5BhGEaBUtAKwDAMo5AxBWAYhlGgFOQcwH3nHUmxSFoDLxiGYWQbBakAOrRoxGPfOTbTYhiGYWQUMwEZhmEUKKYADMMwChRTAIZhGAWKKQDDMIwCxRSAYRhGgWIKwDAMo0AxBWAYhlGgmAIwDMMoUEQ1FeFRUoOIbAVWJ3h6O2BbEsXJBazOhYHVOf+pa327q2r74IM5pQDqgojMVtXSTMuRTqzOhYHVOf9JVX3NBGQYhlGgmAIwDMMoUApJAYzJtAAZwOpcGFid85+U1Ldg5gAMwzCMQAppBGAYhmH4YQrAMAyjQMl5BSAixSIyT0Te9X5vIyIficjX3v9b+6W9R0SWiciXInK23/GhIrLQ+9uTIpK10eJFZJVX1vkiMtt7LN/r3EpEXheRpSKyREROzOc6i0h/7/31/e0RkTvyvM53ishiEVkkImNFpFE+1xdARG731nexiNzhPZbeOqtqTv8BPwH+Bbzr/f4HYLT382jg997PRwELgIZAT2A5UOz9bSZwIiDA+8C5ma5XlPquAtoFHcv3Ov8D+KH3cwOgVb7X2a/uxcAmoHu+1hnoDKwEGnu/vwpcm6/19co5EFgENMGJzDgB6JvuOuf0CEBEugDnA8/6Hb4Ip8HA+/83/Y7/W1UPqupKYBkwTEQ6Ai1Udbo6V/OffufkCnlbZxFpAYwAngNQ1UpV3UUe1zmIUcByVV1Nfte5HtBYROrhNIobyO/6Hgl8pqr7VfUw8AnwLdJc55xWAMDjwF1Atd+xElXdCOD9v4P3eGdgrV+6dd5jnb2fg49nKwp8KCJzROQG77F8rnMvYCvwgtfU96yINCW/6+zP5cBY7+e8rLOqrgceBdYAG4HdqvoheVpfL4uAESLSVkSaAOcBXUlznXNWAYjIBcAWVZ3j9pQwxzTK8WzlZFUdApwL3CwiI6KkzYc61wOGAE+r6nHAPpyhcSTyoc4AiEgD4ELgtVhJwxzLmTp77dwX4Zg2OgFNReSqaKeEOZYz9QVQ1SXA74GPgPE45p3DUU5JSZ1zVgEAJwMXisgq4N/A6SLyMrDZOyzC+/8Wb/p1OBrWRxecYeY67+fg41mJqm7w/r8FeBMYRn7XeR2wTlVneL+/jqMQ8rnOPs4F5qrqZu/3fK3zGcBKVd2qqoeAN4CTyN/6AqCqz6nqEFUdAewAvibNdc5ZBaCq96hqF1XtgTNM/lhVrwLeAa7xJrsGeNv7+R3gchFpKCI9cSZcZnqHWXtFZLh39vx7fudkFSLSVESa+z4DZ+EMJfO2zqq6CVgrIv29h0YBX5DHdfbjCmrNP5C/dV4DDBeRJl45RwFLyN/6AiAiHbz/dwMuxrnX6a1zpmfDk/EHlFG7CqgtMBFHm04E2viluw9n9vxL/GbKgVKchnQ58BTeHdLZ9odjD1/g/VsM3JfvdfbKeiwwG/gceAtoXQB1bgJsB1r6HcvbOgMPAEu9sr6Es9olb+vrlXUKTmdmATAqE/fYXEEYhmEUKDlrAjIMwzDqhikAwzCMAsUUgGEYRoFiCsAwDKNAMQVgGIZRoJgCMIwcQ0TOF5HPReS+TMti5DamAAwj97gOZ5fwaZkWxMhtTAEYRhRExCMipUnOs5WI3OT3vUy88SwipH9dRHr5HXoXxwXA2qB0E/z9xxtGLEwBGEb6aQXcFCsRgIgcjeP3fYXf4WY4u0hbBiV/yW2+hgGmAIwcRUTuEpHbvJ//JCIfez+PEpGXReRpEZntjbb0gPe3c0XkVb88ykTkf97PZ4nIdBGZKyKviUizMGWGTSNOlLYHvMcXisgA7/H24kR1misifxOR1SLSDngY6C1OtK9HvNk3k9qoZ694/boAXEmob5crgRuB44J6/O/g+A8yDFeYAjBylcnAqd7PpTgNaH3gFJze8X2qWgoMAkaKyCAc17vDvY70AL4D/MfbKN8PnKGOq+3ZOJHmanCRZpv3+NPA/3mP/RLHSeEQHM+t3bzHR+MEeTlWVX/mPXYccAdO5KdeON5u8f5f4/JcRPoADVV1MY5iuNT3m6ruBBqKSFsX188wTAEYOcscYKjXO+pBYDqOIjgVRwFcJiJzgXnA0cBR6kReGg98Q5zIU+fjNKLDcRreqSIyH8cLY/eg8mKlecNPrh7ez6fguCpHVccDO6PUZ6aqrlPVamC+Xx4dcQLi+LjSlyeO98grg/LZguNT3zBiUi/TAhhGIqjqIW8siOuAaTieQk8DegMHcHrhx6vqThF5EWjkPfU/wM04/tdnqeper7nlI1WNZj6Jleag9/8qat+reAKSH/T77J/HAT/ZAb6LEzDFZ+vvKCJdVdU3IdzIe45hxMRGAEYuMxmnoZ+M0+v/MU7vuQVO5LDdIlKCs2TShwcnoMz1OMoA4DPgZK95Ba9f+n5BZblJE8ynwGXe9GfhuLEG2As0d1nHJYCvzBNwTE1dVLWHOrEwfo/X7u9VZEcAq1zmbRQ4pgCMXGYKjolkujpRsyqAKaq6AMf0sxh4HpjqO0FVq3CWUZ7r/R9V3QpcC4wVkc9xGvsB/gW5SROGB4CzvKaoc3Hi3e5V1e04pqRFfpPAkRiHE+8CHHPPm0G/vwn4wicOxQk0Hi20oGHUYPEADCNFiEhDoEpVD4vIiThxjY+NM4/GwCScWNBVMdI+AbyjqhMTldkoLGwOwDBSRzfgVREpAipxzE5xoaoHROSXQGec0InRWGSNvxEPNgIwDMMoUGwOwDAMo0AxBWAYhlGgmAIwDMMoUEwBGIZhFCimAAzDMAqU/wf+cZi5KY9RdwAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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86rW5DHlwov9il2wj3MjfT+bER6OXhgBWb93Nz8O0KXjl62b6wYL17K9S9ldHr0p6b17NoDXfXe4zU5dH3H/8vHX0vXM8R/1mEp+XB6/wevRvJjE8TJVF2cpKrnr+c/40KXIdeKeW4VcQ83q9UVV/g3tJlCk8VGveIy9e/HRFQvX+e0LuSfrc8R63vhp7RPeY/33FAwElzbmrtvk/u14Ckpf365WZq8KWCuKZNLFOzT4qIo2BM4DjgC7Abpy1A8apamIjb0zGPDN3L3M2xr6rDp3DJ5H+3dVaEzjWbdvDJ0s30aVV7dk7C93g8OosZ/Tt+/PXcdxB7fnJv7+I/0UDxLNusteeUeH8YWJwPXO4C3MkPw4oHVRWVTP2vUVcd8KBtGhcxMYde+netmnQPoF5uj9gPMV7c9dy2mGBS3o41XQfLtrAjPLvwubvohJnls9npixj8YaA8RBR/teBF65Yl7DA9oJo1WubKvbWaod5NkpgjGRvmDWYX/9yNT8d2SfqcS9/HjwtyZl/nsqMO0Z5ft0z/jSV73aGb1fzeXzSYh6ftJiurZtwcHFzHrnwcNo1b8SRv449B5ZPpsZYxAwEInIvcCZQBnwGbAAaAwcDY90gcauqJjfO36TNnI3h77L/+ekK7vRQHRAPVfUXzVdv3c0P/vYZE35+fK39XpqxkguGdPc//ulLX3J077Z8tvy7WvvWB5sqol8UInlrzhqembqcZ6Yu57CurZi7ehvLHzo94v7PTau5WF7/ry9456fHht0vUpDbta+KT5ZuqlWfHu16E1jFE+umPbDnlq/vu893O/fxzfodXPz0p2GPfei9RUGPvTSs76uCX71eeyK4WGM9woqjQBIrCARa7faYK/1dGXPvOyWuYyvDBLp08FIi+FxV743w3KMi0hHokbok1V++u6HubZtmOSWO9dv30LFF5Hn/Ux0EILhE4BOp4XryN8EXiuWb6u7UDOlyyys11Ri+njLx9Fg6I0o3y3B8QSdUpMbzh8cv4tJjevofR+sqGmpByEjeIx74gEuO9n6p8DJ24/0V+ylbmd6poVPFyySIoWZ67G2VrJiBQFXDTpwhIg2A0ar6Bk4poV55ePwiRvTryJG92qbsnL5uZNlczCKwnnXSwg1s3Z3YnSoE12tHE9jXWlUT7nVRV6Yjzra9lfF3XU1WpLEOT5Qt9VffAcxZmdyKcKHBPx7hPleLvkvdwK5kJhpcvmkn7yQx6DDb4m4sFpHjReQpoBy4POUpypAnypZy4V+nZzsZCXl15koOvvM9Kquqmb9mG89OXc69b81nz/4qxgUsBfmr1+fy8Pjkux7+fVr0utsqDa5DXrfdYx/qkG/2+u3eJgXLdaG9hLJtY8Ao7IueSu47E61nVSx/CDOPz7qdqas6Sag6yTXikTJ+n+Q8Q9kUsUQgIj2A84A3gWbAZcD5wDfAEKC3qqZuSF2Om7ZkE8s37QwqZifqgXcWsK+ymvLNuxj9eE3VgG/QSap9Xr7F04IzAJO/3sht//PWXFSxt+5MxlaXZKNEUB8kMsivrvkkwYGR6RatauhfwCPAImAOzvrCR6vqZhFZbkEgPpc848xemIpAsN3tMxdrAFMqRevxtiVgVLLXIADhZ4M0sLcOzVZqUusHz3ibxTTTolUNbcDpLroUaAecAAwVkSLq1op3dc7+quqE1uWty6INsnndw2Rv4cTT8JhPvK6YZkyqRAsE3wNeAgYDBwH/cLctA9qJyEgRKUx/EuufAfe8z9G/mRR7x3rkgRRO8+CzcYe1CYQT2tvGmHSLWDWkqpXArIBN7wPvi0gT4Fzg/3ACRXFaU1gP7a2sZm9l4r11Ihk+9kP/QKxMi2eaB68CpzswxmRPzF5DInK7iAz2PVbV3ar6b1U9HRiQ1tTVc+EW3J4wfx29xoxj1ZbYTSwbtu/hwr9+whJ3BOjqrbvjGjlrjDFeeOk+uhy4WUS+FJHnReR7ItIGQFUT7xScB0KnlAV4Y7ZTnx5rMe1lGyvceWa2cN/bNouHMSZ9YgYCVX1ZVa9Q1cHAY8ABwGsi8rGI3C0iR6U9lRmiqvzloyWeF7lOhG/gzt79TmPyk2VLmbRwfa39lgTMA5PMnDim7mjdtEG2kxDk9MM6ZTsJpo6Ia0CZqn6pqg+p6gicSejmA9ekJWVZ8OXKrfzu/a+59ZXYsxcCVFcrT3+8NK4RidOWOFPj+vrL/Hb8Iq7+x0w27NjDVc9/zvY92VvW0MSva+vgCfU6two/uycQcV6gdHn7xmPp1S7ydCeNiqyvh3F4CgQi0lJEDgzcpqrbgcWqem1aUpYFvgmednlcKP2Dhev5zbuLuOzZz3hzdnxdKEMHaD3x0VI+XLSB/wUM5zd13x8vHsTAbq38j68a3jvsFCO3ndqXbm3SPwfVuYO7+v8+rFsr/5q34QhwzqAuaU+Tqfu8NBZfhDOo7H8iMl9Ejgx4+vl0Jaw+8M2d/+W3W7n55dkpOWe8i3OYxHVrU3t67EiG9GzD/PtOYUTfDv5tFwzpxuDurYNmyrjq2N5hj7+hNPq0yPFqUBj+An/V8JDXD9jNNwHhYV1b+Z8be/7AlKbLpF8i6zbE4qVE8CtgiKoOAq4EXhSR89znbJqwBIX+K0PX0o21lKJJXmCd/ch+HaPue/Oog2jWqIhT+tfUqz9y4eEUFQZ/hXzde/91zdFhz/PaDcMSTW6QVk0aht0e+rE5zy0htGrSgJP7FwftI0jCE/0d3r01p/a3NoZsSMcC9l4CQaGqrnUSoDOAEcAdInITcYwwFpHnRGSDiMwL2NZWRD4QkcXu7zbxZiARiSws7bNm625GPlLG2m27PV2sq6uVSz0MK/+7uxh3pH9yOu4C8ln52NHcNPIgAH58woE888OSWvtcd8IBXOPe4bdr7lx4w813E1g15NO4Qfj694Fdg/dtVFTgOTh8/IsRMfcJ/UieP8RZiObqY3v7S5u+XQqk9pq4zRp6azc4pFML/nrZEE/7ZkPDwtxdfDEdVwIv79aOwPYBNyiUAmcD/eN4reeBU0O2jQEmqepBwCT3cdqFLpgRj5dmfMuyTTt5daa3uvw9lVVMjWOiqW2799NrzDjeDZhFFKD37e/Glc5ccEr/9I5VPLl/J8rHjmbMaf0oKBDaNXMu9m3d3+2aNeSXp/Xj1R8PpX8X5wIebmbQu888lKN6t6V5o5rxmZHuEUIHBA7v054jetTc/9x9xqH+v8883Km/b1RUwDXH9qZ7W6cq68RDOuK7HBQWCIO6twbg8kMb+i/s/Tq1AKBzqybMuvNEbhzRx38zcdagrpw3uCu3ndqvVjqjtSkEirTOxYEdmoXd3rV1E5685AhP547lBx7WNMjWwMv6yksguJ6QKiBV3YFzUb/K6wup6sdA6PJTZ+NMXYH7+xyv50tGrI+I7+Z79sqt9Bozrtbi6+nkCwCJzt+TS0LvViP566WpucD4/Oi4AwA4qLgFDQoLgtasCDczaKOiQl65bijz7jvFv+3g4ha0aFzEwxcM5L2bj/Nv95UiffX0vmUgJ/z8eI47qD1nDKxZevIyd4LCw7q24s4zDkVEKB87mmcur2mm+/T2UfzjyqP46cg+HN+tiAL3Gx1YgGzXvBEFBeLf1rRhIY9+bxAdWjSqdeFv1CD8JWFIz5pgNbJfR34SZinI8rGj+ec1R3Pn6EO4vjSobwmPf39Q2PPGq3zsaPp0aF5re3HLRvRuXxOEikICwZG9nPQ/dvEgXk9R9Vy2ZKWNQFXnqOoS32O3B1FboAXwXpKvXxxQ7bQWiF5RmyKBn/1v1u9gyuLwJYQX3GmdI93RJ3XPEeF/WWVVQHErKkhNNYDvnb9gSDfG/+w4RvSt/XH0ulZA80ZFzL33FC4q6c4hnVsGPVc+djS/OKUvUDOZ38HFLXjx6qNp1qj2rC/hbtL/72Tn+JZNimjVtAG3ntyXwgLxB89wkwT2bOdcKDsFdHENPPUvTunLy9ce43/cv0tLDnXTfmr/Tv4S02/PH1ir6+m0MSMBpwRyzXEH+NPnM6Rn25QtPOQLnlcM6+Xf9t7Nx/PhrSf4G8uLQhrTfd18C0Ro3zzyqn31QTquEJ4WrwcQkeuA+3EWrvelRXEGmKWdiFwLXAtQXFxMWVlZQuepqKjg61U1i7X4llF8/tRmfO2udrRt2zbKyspYt94ZWLZo0ULKdjixsHyFM4fQ8uXL2b0h9gXolufCL2p++2tfhZ2yuWJn4u0XuWbTJm9VeHPn1V6zNpZwn5/9+5z/7fTpn9CyobBuUa1dWPltzRxSiX4GARZsdj5rmzZ/F3SefQFr1G5c4oxnGdZ2V63X6oTzmZ0+dYp/W0VFBTNnfg7Azp07ax3TV5VflDRG1i6gbK0ziWDg3WV/WcWqBTVVntf3q+TtZftYACxZupR2DSvZvBNmfvYJTYqcC21JcSFLtlazePZnLA54rdC71rKyMuatS2wFsOO7FfHxqkr/eRYvc/4H69euplmRsrNSmDptGi0bCgcXOIF6aDG8G7Ce0sg2W9nRo4gmm79m6RbhgeFNuGta/N+1Ls2FNRXZvVmbPHlyrRJPsjwHApxJ5vqraiqHua4Xkc6qulZEOhNlyUtVfRp4GqCkpERLS0sTesGysjIO6XQgzAu+CJeWltJ0+XcwYzqtWrWitHQYb22YDWtW06/fIZS6jW6z9n0NS5fQu3dvpyg6J/qUwRNWhB8gFmlN6s17rETg07FjB1gfe7nMwwYcBl/MjOvc4T4/RR9PgP37OXb4cH87Qaijh1Wx9d9fcN9Z/ZNam7p47XYe/nwKRxzUjdLSw/zb91dVwwdOQXv0SSMYfZL3c5aVlXH0kKHcMXUiJw3sQWlp7anARoY78H1nNVr/ezLeeXzccccyZ/9iKF/OgQcewO3f685Xq7Zx/ME1XWijfg3d814xrBelpf3RrzfA7M+9Z8j19HUn0u+u8f40ztcl8M3X9OrZg6mrlwIwbNgw/53+6aP206JREbNXbuXcJz4B4KxTRnBWyHnvmhZ2Fd6ofnnG4SnrKg7Qp2PzoFkEvOjRv4SDi1ukLA0QXyBYCqR6xrO3cJa7HOv+fjPF5w/Lc9fMgGty+aadrAyZKM7LaWxcQOK8thEc7jaWhuraugmHdG7JxIXruXxoT/ZVVfPTkQdFHAnu+1dFe9UmDQt57oojo+zhzSGdW/LPq4+mpFdwR7nCJOtPOrRoxJTbRgRV/yQqsMFVFVo3bRgUBLy69yynT0npwR24aWQfHv9wSYwjarRr1pBGRcElb1/VUFFBzScksADSsrHTLfjQLsFVcqlQWCD898dD+WZ9Bb96Pf6SaKjrTziQW1/1NpOBz659qV+4KJ7K1duBT0TkKRF53Pfj9WAReQmYDvQVkVUicjVOADhJRBYDJ7mP6xwBSh8p47JnZ2Q7KXVG6NQK4NzdpNLwPu2B2g1/oTq0aBR2NG/X1k38jbKtmjTgofMG0qV1k4h3U5lunjn2oPa1upkWpKDI371tUxqkoPtkoYj/pinRt+aYA2oa2kWEW0LaDmJ54JwB/jT4pu+odANBYEN3uEWOvPaAikeBCCW92nrqueTF+UO68dmvRnHPmYfG3tmfhpS8dPA549j3KeBD4FOcdQp8P56o6vdVtbOqNlDVbqr6rKpuVtVRqnqQ+zu0V1FaeH0fo334c7VNN7Cv+p++PzjouQ4BXQZ/f9HhtY49oH0zzj+iW0rSMeeekxkd0IMmEYleB7I9lu/Qzi155MLa72+mFRQk1yFi8i9Kw5ae7hx9SNDjI0NKRYF8pZJ3bzqOcTc5va+O7u0El6MPaMth7Z1KjSZhxm0kW7oKp1WTmkGIXsZ1eFHcsjHHHdTe8/7pCHDxVA1VquotKU9Bhs3eUMm0Rd+GfS7S+5vtC0MmNWtU84U66dDgfvy/Pf8wrnreqYs/5oB2YY9P1fKTrZo0yPgEfHVl0N67Ad1Ns6lQhL7ueIQD2ocfHxCNr5dSqMCLKTi9vvp1asGidTv823q1a0r55l3+0mBgNc/wPu2Zf98pNGtUxK4BDXnokuNo0bj2zK6xvrc3jezD0APb88rMlZ66az928SCGHVjzue8RZUI/cMZ/BHY3vnJ4L//A0dq8X2TSUtKJY9+PRORaEensjghu63YjrVf++MVePi/fEva5SNeBl2bUDhwiuVkqCKwXDq1eiPUBFCGlfdt8rxb4ssf2ac/Y8w7z92s/qnf0j2Aigclr20SuKywQzh3clXE3HcvJKZxOwlfV4/usNWpQUOu75GuIjzQwzNfNtqhAIl6QY7UF3nJyX4Ye2C5oIGA0Zw/qWuuclw91xno0DTMiO7QL7T1n9mf5Q6d7eq1o0jFYLp4SwQ/c37cHbMtY99FMmrliC3srq/x3iIGBw9c/WzU9/XmzLbCOOvQD5+VOJNH3pEurxqwJGbgX7ov8T3cOn9MGdGbemm3+dgRwRiJ3bd2U56Y5/QZ9d7PuyWKmIRf/n8nwvf++UdWp1qJxEVt37ce5fwh+9395aj827phDSa/032veOLIPSzZUcFTvtjw2abE/bTv2xO7uesfoQzlrUBdmr9xWa11vEfwlnWcvL3G3Rf8cHtC+Gcs2RV/CNR2zZ3g+par2DvNTr4LAso3eu2mtjLAk5FOTl6UqOXVSgQgXDAlfz+9bsOdsd+riw7u3ZkDXmiL7sAPbh61eufSYHjHn0/nk9lG1ZtSM9pVp1bRBUBAAeOqyEu4+81DG3XQsR3Uq5I6QuuiYvHQbMknz3V9UB3SpC+1dN6BrK8b/7HjPd+vJKG7ZmJeuPcY/n9Rlx/Rk7r2nxDjK0bCogCE927rTfgQLvOjH6sUVT21POiak9BwIROQnItI64HEbEbkh5SlKo5G/nxzxuZfDVP+E4+ux4FQN5d49ZKEID58/kMW/Pq32cwXC1w+eyh8uGgTAmz8ZzotXOXfoZwzszA/dYnKoB885LGg+nUh81QG+CeAS/bz379KKGwY1plFRIVcM68Up/Yu5MmAUaiT/vOZovn9UD1o2Tv/Fpy65fGhP/nFV5hYa9H1t/HFXJOxI6FTxTdURi+8CGzq6/7wjuvLvCLPJ+uwPMxlhPB9fX4+om088KOa+6WgEj+cT/yNV/YvvgapuEZEfAU+kPFVZMOa1uUHzvIDkTa+hEw8pZqK7XGZBgVM9VBDmY1ytWmtqgTbNGjLjV6No17wRIsHv2Ts/PdbTPE1t3OmgR/btyLKNyzkypN5fSLzxoXXThjx1We2ZRcM5vHvriGMSctl9Z9ceeJZOvnEAvqrHdBbAwnUrjsR3gQ29wXvUvfGJemyEaU5O6d+JRet20CHMtBaHBcxE27RhkT+tsQasZbuxuEACyiQiUgiEH35ZT73zVfCMn2/OXhN1/1SOMEyl0K6HHZrU/uAEVv8/c3nNhTL0bqN985p/caQPYMeWjf1f6sDv0ICurTjx0NgziP7y1H4AjDmtHzPvPNHfq8TfaCtOna3JDb5Ste+zJgJPX1YSNHdQNvi+E1UJjALtHaZXVYE461h8cddJdGxZu2oocJGjcE4IGbzX2J0QMB3fhXgCwfvAKyIySkRGAi8B41OeonriDxO/yXYSIopUxx/oofMOC7s92t3GwG6tY543kSK+7zWLCguCJgQLTMrEW06o97NG1hfpviD7ql4Gu9WFPxzaiz4dm/tHIGeLr6NEqmYDEBEKCiTidCWxBg/+/YojgwLMA2cP4LfHNaFNhPMlI55A8EucAWXXAz/BWT/gtpSnyCTkvCO6Bj3uFOYOJNCFQ7qH3R764QzsNhjurieU7zs0+rDkBoOFKm7Z2H/hMOl171n946pSiZevkbhzq8aUjx2d0LQV6eC7IalOUSSIVYMTqa7/j98bxKRbT6CgILjtpGFRAcXN0rPgjpc1i58WkXOBZqr6pKpeoKrnq+pTqpr6SS9MXHyLlRwYMkf7WzcO9/8d7vPmtZrx/rP6c97grhHXyK3F/dyeOsB7v/OWTaIXda0TT27xfWYP7pTaidOS5euWmaqG61if20glgnMGd/V/nzPVFuklvDwHHA68KyKTROSXIpL98e9pduKjkXsY1SUXDunOf388lEtC5j4JVyfpW/EqnEuPCT93SlFhAY9+bxCLf+1tIIyvP3i0QHPxkcGlkREx1gs2uWVkv2Jeu2EYl6Zovp5U8XWEaFiUnrvuRKSzN1UgLwvTfKqq96rqccBFwLfArSIy212H+KK0p9JEpAolvdrSumn0esPysaOD5g4K7Yv8wNkDUjLq0X/+KPdD95wZXBfcIEKPC9/I5muPr1fDVYwHR/Rok5b+8Mk4pX8nfjqyD3ec7n0CuECh7W6R8he6els0mSoRxNX8rKqbcRqJXwIQkSHUXofYZJCXO4bv9a0JEq/dMKzWXC+QukEqvuREO13odT9SEbmwQNJaV21MoMIC4dY4Z0cN9P2jerBw7XZemL4CSM0cZYFdWdMZOONZoexm4O/ADuBvwBHA7ar66zSlzXgQGAYeOGcAe/fXbrYZUlzzb/YysCsZPxnRhzkrtwZNzhVNqhY0N6YukKC/k79wZ2q4UjwlgqtU9TEROQVnbeErcQLD+2lJmfEm4I4h3AhKZ4rffbW2p8uArq345PZRMfd7+8Zj6dSqcdDU1sbkktSUCJI/hxfxtIr4snU68HdVnYN16MiKZwMGgA2JMilX+djRvPrjutn3/rBurSwImJxzbsB6HKm4OAZOxpfOi208JYJZIjIB6A3cLiItgNoTbJi0a9usIQvuP4XNFfuSWjfXGJNag7q35qKSbrwyc1XKSwRd2zRhe/gZ9JMWMxCISJGqVgJXA4OAZaq6S0Ta4VQPmQy6Ylgv/8Cqpm2TH2reOQVr2xpjavg7TKTgHj5wbNsRPdpQlqbJj71cST4VkVU400mMV9Wt4O9BtDk9yTKRHNvH+5J2sTx7eUna5po3Jl/5r90pqcvJTCNBzECgqiUi0hM4DfijiHQFpgLvAZNVdW+a02gCpLIH2ahDYk8IZ0y+Orx7axonMLjM16U7FV/Vgzq2YFNF+u+3PeVSVVeo6l9V9RxgGPA2cCIwRUTGpTF9eS90wqo6NgbHmJz15k+G85/rhiZ8fCr6/f/1siFJn8OLuCuZVXW/iHwJbFLV29wSgkmTQzu3ZOqSTf7HubCebi7kwaTHlNtGUOR1Xqu6yt9GkLxwgz/TIZ4VyspEpKW7YP0c4O8i8qiqrk5f8kyzRiGLYtfz74gx0XRv25TOrZpkOxlJ8VW5Duhaf9rf4qkAa6Wq24HzcMYRDMGpHjJpVN+/FMbkm9EDO/P1g6fSN8Lsqpce05ODi5t7WjckU+IJBEUi0hln4rl30pQeE0PbGJPLGWOyL3RJ10BdWzdhws9PoDjGmiGZFE8bwf0400lMVdXPReQAYHF6kmVC3X5aP/p2apGXa+oaY9LLcyBQ1VeBVwMeLwPOT0eicl1xy0as3+6t161v9sFGRQWU9rV5+40xqRfP7KOPh9m8DZipqm+mLkm5772bj+eip6azZEMFAO2bN6JRUQGrt+6utW+mZh80xuSveNoIGuNMMbHY/RkItAWuFpE/pjxlOaxts4Yc2KFm/d+Zd57IlNtGRD2mri3iYYzJHfG0EfQBRrrzDiEiTwITgJOAuWlIW04LXR870uIsmZqG1hiTv+IpEXQFmgU8bgZ0cRewt2km4lQdGglCvHbDMB658HBPawDXN7mUF2PS7epje9O4QXrXUY7n7A8Ds0Xk7yLyPPAl8IiINAMmJpMIESkXkbnuOsgzkzlXNh1/cIeIz3UK6SrWr3P4PsY+R/RoE9TP2K6dxuSnu844lEUPnJbW1/BUNSQiBcBCnHmGjsK5Lv1KVde4u/wiBWkZoaqbYu9WdxVFqN4BGNKzDePmrvU/jtbPOJBVDRlj0s3rpHPVwO9Vda2qvqmqbwQEAePqGGXFrdDh5r6QceOIPlHPeVRvZwWyQzq3TCptxhgTSTyNxRNE5HzgNdWU36eqe34FnlLVp0N3EJFrgWsBiouLKSsrS3ESEtO/XQHzNzsLtY1otZmXI+y3fPlS/99lZWUsL3fWES5fsYKysrW19vflrxXwx9ImVJR/RVl5YmmsqKioM+8XwOTJk6OWnlKhruU5EyzPuS9d+Y0nENyC00BcJSK7cW5qVVVTcas6XFXXiEhH4AMRWaSqHwfu4AaHpwFKSkq0tLQ0/lcZn/oZs9u2bQubnRqtU04cARPDv8bg/v348RltadygkC6tmzCvejEs/oaePXtQWtoPgMaT3mPPfieoJJS/CMrKylJ6voS57/8JJ5xAg8L0Nn7VmTxnkOU596Urv56/jaraQlULVLWBqrZ0H6ekvsJXzaSqG4DXcdoh6qXysaODHndo0YhT+hdzUUl3DujQnC6tgyeRCyxbHd6tdQZSaIwxweIZWSzAJUBvVX1ARLoDnVV1RjIJcHsdFajqDvfvk3HmNaoXYg30+vyO8BO0+o4LrGPr2a4pny3/LlVJM8YYT+Ipnz8BDAV+4D6uAP6SgjQUA1NFZA4wAxinquNTcN6MSGVNd770ELKusMbULfG0ERytqke4q5OhqltEJOk5kd3J6w5P9jzZkuzgqMCL/3EHd+DVWauSO6ExxsQpnhLBfhEpxK3NEJEOQHVaUpUHfAFEAyqHzjq8S5ZSY4zJZ/EEgsdxGnI7isivganAb9KSqnok0QJB+2aNgn4bY0y2xLMewb9EZBYwCuf6d46qLkxbyuqJMwZ24aOvN4Z97rGLB0U87oIh3WhQJJw5MLgU8L/rh9Kw0NuoY2OMSYV42ghQ1UXAojSlpV46f0g3bn11Ttjnzh7UNeJxBQXCuYNrr1k6pGfblKXNGGO8SO+oHmOMMXWeBQJjjMlzFgiMMSbPxQwEIvKdiDwjIqPE1ks0KWAfI2PqFi8lgo3AbJxpH1aJyGMickxaU2WMMSZjvASCnar6Z1UdjjPFxGrgCRFZJiJ5P44gklZNGmQ7CcYY44mX7qP+cryqfouzZOXDItIXuDhdCavPZt99EkVpnmbZGGNSxUsg+CjcRlX9GrgvtcnJDa2bJj0FkzHGZEzM21ZVvSUTCcmE0wZ0ynYSjDGmzkmq/kJE7k5VQjKhIMW9VfoWt0jp+YwxJhuSrci+JiWpqKc6RFms3hhj6gsv4wi2R/jZAdSreZOV8Cu/3HPmoQmdrzpfVpIxxuQ0LyWCrcBB7jrFgT8tgLXpTV5mXDm8d9Tn3//Z8bzz02NrbbdAkBgbTmZM3eIlELwA9Izw3L9TmJa083LdnnLbiFrb+nZqwYCurWptr7Y4YIzJAV56Dd0ZaYF6Vf1l6pOUXd3bNo25j68qqdoigTEmByTUWCwi96Y4HRkRrkSw+NenATCwW+07/kh8+1rVkDEmF8S1ME2As4B7U5iOrGngjgB++dpj2L670tMx/bu0YnCP1txzZv90Js0YYzIi0UBQL9v7OrduHPG5pg2LaNow+O14/YZhzFj+Xa19Gzco5PUbhqc8fcYYkw2JjiMYktJUZMg9Z/anQxPvMWxwjzZcd8KBaUyRMcZkn6cSgYicApwDdAUUWCMib6rq+DSmzRhjTAbEDAQi8kfgYJxupKvczd2Am0TkNFW9OX3JS59XfzyUXfuqUnKuF68+ijY20Zxnti6NMXWLlxLB6ap6cOhGEfkP8A1QrwKBr59PcYvG9GgXu6uoF8cd1CEl5zHGmGzw0kawR0SOCrP9SGBPitOTMXZXaowxDi8lgiuAJ0WkBTVVQ92B7e5z9Yp1/TfGmGAxA4GqfgEcLSKdcBqLBVilquvSnbhs+fW5A5i+dHO2k2GMMRnheRyBe+EPuviLSD9VXZTyVGXZJUf35JKjI02vZIwxuSXZ9QgmpCQVGXRgayfLzRolOpbOGGNyi5fuo49HegponYpEiMipwGNAIfCMqo5NxXnDufqwRtx1wRG0bWbdPY0xBrxVDV0J3ArsDfPc95NNgIgUAn8BTsJpjP5cRN5S1QXJnjucRoXCYXFMMGeMMbnOSyD4HJinqp+EPpGiWUiPApao6jL3nC8DZwNpCQQm+8T67hpTp3gJBBcQYbyAqkZf2subrsDKgMergKNDdxKRa4FrAYqLiykrK0voxSoqKhI+1ifZ4zMtFXlOpUykpa7lORMsz7kvXfn10n209vSbqRXu9rBWb39VfRp4GqCkpERLS0sTerGysjISPZbx4wASPz5LkspzKmXw/aszec4gy3PuS1d+vSxe/7aInCkiDcI8d4CI3C8iVyWRhlU4A9R8ugFrkjifMcaYOHipGvoRcAvwRxH5DtgINAZ6AUuBP6vqm0mk4XPgIBHpDawGLgZ+kMT5jDHGxMFL1dA64DbgNhHpBXQGdgPfqOquZBOgqpUiciPwPk730edUdX6y5zXGGONNXKOqVLUcKE91IlT1XeDdVJ/XGGNMbMmOLDbGGFPPWSAwxpg85zkQiEjHMNv6pjY5xhhjMi2eEsEUEbnI90BEbgVeT32SjDHGZFI8jcWlwNMiciFQDCzEmR7CGGNMPea5RKCqa4HxwFCcMQQvqGpFmtJljDEmQzyXCETkA2AtMABn9O9zIvKxqv5fuhJnjDEm/eJpI/iLqv5QVbeq6jxgGLAtTekyxhiTIfEsVflGyONK4IFUJ8gYY0xmxVM1tIOaWUEbAg2AClW1VV6MMaYei6dE0CLwsYicg/UaMsaYei/hkcVuVdHI1CXFGGNMNsRTNXRewMMCoIQwC8jksptGHcSsFelep8cYYzIrngFlZwb8XYkzC+nZKU1NHXfLSQdnOwnGGJNy8bQRXJnOhBhjjMmOmIFARP5ElCogVb0ppSkyxhiTUV5KBDPTngpjjDFZ4yUQnKiql4nIzar6WNpTZIwxJqO8dB8dIiI9gatEpI2ItA38SXcCjTHGpJeXEsFfcWYdPQCYBUjAc+puN8YYU0/FLBGo6uOqegjwnKoeoKq9A34sCBhjTD0Xz3oE16czIcYYY7LDFq83xpg8Z4HAGGPynAUCY4zJcxYIjDEmz1kgMMaYPGeBwBhj8pwFAmOMyXMWCIwxJs9lNRCIyL0islpEZrs/p2czPcYYk4/iWaEsXf6gqo9kOxHGGJOvrGrIGGPyXF0IBDeKyFci8pyItMl2YowxJt+IasRVKFPzAiITgU5hnroD+BTYhDOd9QNAZ1W9KsJ5rgWuBSguLh7y8ssvJ5SeiooKmjdvntCx9VVdyfMV43cC8PypzdL+WnUlz5lkec59yeZ3xIgRs1S1JHR72gOBVyLSC3hHVQfE2rekpERnzkxsBc2ysjJKS0sTOra+qit57jVmHADlY0en/bXqSp4zyfKc+5LNr4iEDQTZ7jXUOeDhucC8bKXFGGPyVbZ7DT0sIoNwqobKgeuymhpjjMlDWQ0EqnpZNl/fGGNM3eg1ZIwxJossEBhjTJ6zQGCMMXnOAoExxuQ5CwTGGJPnLBAYY0yes0BgjDF5zgKBMcbkOQsExhiT5ywQGGNMnrNAYIwxec4CgTHG5DkLBMYYk+csEBhjTJ6zQGCMMXku2wvTmDzy5x8MZuOOvdlOhjEmhAUCkzFnDOyS7SQYY8KwqiFjjMlzFgiMMSbPWSAwxpg8Z4HAGGPynAUCY4zJcxYIjDEmz1kgMMaYPGeBwBhj8pyoarbTEDcR2QisSPDw9sCmFCanPrA85wfLc+5LNr89VbVD6MZ6GQiSISIzVbUk2+nIJMtzfrA857505deqhowxJs9ZIDDGmDyXj4Hg6WwnIAssz/nB8pz70pLfvGsjMMYYEywfSwTGGGMCWCAwxpg8lzOBQEQKReRLEXnHfdxWRD4QkcXu7zYB+94uIktE5GsROSVg+xARmes+97iISDby4oWIlLtpnS0iM91tuZ7n1iLyXxFZJCILRWRoLudZRPq6/1/fz3YR+VmO5/nnIjJfROaJyEsi0jiX8wsgIje7+Z0vIj9zt2U2z6qaEz/ALcC/gXfcxw8DY9y/xwC/df8+FJgDNAJ6A0uBQve5GcBQQID3gNOyna8o+S0H2odsy/U8/wO4xv27IdA61/MckPdCYB3QM1fzDHQFlgNN3MevAFfkan7ddA4A5gFNcVaMnAgclOk850SJQES6AaOBZwI2n41z4cD9fU7A9pdVda+qLgeWAEeJSGegpapOV+ddfSHgmPoiZ/MsIi2B44FnAVR1n6puJYfzHGIUsFRVV5DbeS4CmohIEc7FcQ25nd9DgE9VdZeqVgKTgXPJcJ5zIhAAfwRuA6oDthWr6loA93dHd3tXYGXAfqvcbV3dv0O311UKTBCRWSJyrbstl/N8ALAR+LtbBfiMiDQjt/Mc6GLgJffvnMyzqq4GHgG+BdYC21R1AjmaX9c84HgRaSciTYHTge5kOM/1PhCIyBnABlWd5fWQMNs0yva6ariqHgGcBvxERI6Psm8u5LkIOAJ4UlUHAztxisyR5EKeARCRhsBZwKuxdg2zrd7k2a0HPxunyqML0ExELo12SJht9Sa/AKq6EPgt8AEwHqfapzLKIWnJc70PBMBw4CwRKQdeBkaKyD+B9W5xCff3Bnf/VTgR16cbTvFzlft36PY6SVXXuL83AK8DR5HbeV4FrFLVz9zH/8UJDLmcZ5/TgC9Udb37OFfzfCKwXFU3qup+4DVgGLmbXwBU9VlVPUJVjwe+AxaT4TzX+0CgqrerajdV7YVTfP5QVS8F3gIud3e7HHjT/fst4GIRaSQivXEaZma4xa8dInKM29r+w4Bj6hQRaSYiLXx/AyfjFDFzNs+qug5YKSJ93U2jgAXkcJ4DfJ+aaiHI3Tx/CxwjIk3ddI4CFpK7+QVARDq6v3sA5+H8rzOb52y3mqfyByilptdQO2ASTnSdBLQN2O8OnNb2rwloWQdKcC6oS4E/4468rms/OPXlc9yf+cAduZ5nN62DgJnAV8AbQJs8yHNTYDPQKmBbzuYZuA9Y5Kb1RZzeMTmbXzetU3BuauYAo7LxP7YpJowxJs/V+6ohY4wxybFAYIwxec4CgTHG5DkLBMYYk+csEBhjTJ6zQGBMPSUio0XkKxG5I9tpMfWbBQJj6q8rcUYdj8h2Qkz9ZoHAGA9EpExESlJ8ztYickPA41Jx19OIsP9/ReSAgE3v4EwtsDJkv4mB89cbE4sFAmOypzVwQ6ydAESkP86888sCNjfHGZXaKmT3F72e1xiwQGDqORG5TURucv/+g4h86P49SkT+KSJPishMd/Wn+9znThORVwLOUSoib7t/nywi00XkCxF5VUSah3nNsPuIs2rcfe72uSLSz93eQZxVpr4QkadEZIWItAfGAgeKs/rY79zTN5eaVdj+5c4bA3AJteeOuQS4HhgcUgJ4C2d+ImM8sUBg6ruPgePcv0twLqQNgGNx7pbvUNUSYCBwgogMxJny9xh3wj6A7wH/cS/OdwInqjPF90ycle/8POyzyd3+JPB/7rZ7cCZDPAJnptge7vYxOIvNDFLVX7jbBgM/w1mJ6gCc2XVxf/unWheRPkAjVZ2PEyAu8D2nqluARiLSzsP7Z4wFAlPvzQKGuLOx7gWm4wSE43ACwUUi8gXwJdAfOFSdlaDGA2eKsxLWaJyL6TE4F+BpIjIbZ9bHniGvF2uf1wLS1cv9+1icKdJR1fHAlij5maGqq1S1GpgdcI7OOAvz+FziOyfObJWXhJxnA86c/sbEVJTtBBiTDFXd765FcSXwCc7MpCOAA4HdOHflR6rqFhF5HmjsHvof4Cc4879/rqo73GqYD1Q1WrVKrH32ur+rqPl+xbNw+t6AvwPPsTsg7QA/wFm4xdcW0FlEuquqr+G4sXuMMTFZicDkgo9xLvgf45QCfoxzN90SZyWzbSJSjNPV0qcMZ2GbH+EEBYBPgeFutQvuvPgHh7yWl31CTQUucvc/GWf6bIAdQAuPeVwI+F7zaJwqqG6q2kudtTh+i9su4Aa0TkC5x3ObPGeBwOSCKThVJ9PVWcVrDzBFVefgVAnNB54DpvkOUNUqnO6Xp7m/UdWNwBXASyLyFc5Fv1/gC3nZJ4z7gJPdKqrTcNbj3aGqm3GqmOYFNBZHMg5nvQ1wqoFeD3n+dcC3rOMQnAXRoy15aIyfrUdgTJqJSCOgSlUrRWQozrrLg+I8RxPgI5y1qqti7PsY8JaqTko0zSa/WBuBMenXA3hFRAqAfTjVUXFR1d0icg/QFWdJx2jmWRAw8bASgTHG5DlrIzDGmDxngcAYY/KcBQJjjMlzFgiMMSbPWSAwxpg89/+mBItmwT6ChgAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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yAdiyeQseT/l6mleUPIdTZc7z26MnM3F9Nrd3SybB5zoZqTwHHSRU9T/Af3yerwGuCEciRKQaToD4WFW/cDdvF5FmqrrVLcHsCJCuEcAIgIyMDM3MzCxTGjweD2V9b0VydPFWmD+XRo0akZqa5TfP9Tfug2k/U7NmzUr3N6kon/PGaevglyU0b9GczMxTynWsipLncKqUeR7vdCR9bVEu+w7n8tat/aifUj1/d6TyHHSQEJF/+tm8H5itql+VNQHiFBneBZaq6os+u8YAQ4Fn3N9lPocJjdU2GRP/ovU9DaVNogbOtBwr3Z+uQAPgFhF5qRxp6AdcD5wjIvPdnyE4wWGQiKwEBrnPjalSrH3IFBXtMTShtEm0B85x53FCRN4AJuBcwBeVNQGq+hOB8z2grMc1JSvp4mMr0hljvEIpSbQAUnyepwDNVTUXOBbWVJkIcuKxvzCwcvtBcnILJva1UBF7QfbfMFVQtG7mQilJPAfMFxEPzpXmLOCvIpICTIpA2kwEBLrobNxzmEH/mMItZ7Thwq7NopsoY0zQgu35GS5BlSREJAFnkFtf4Ev35wxVfUdVD6nq/0UshSYq9h4+DsDMtXuiXoLIOpbDfZ/NZ5+bBmNM/AiqJKGqeSLygqr2wXoZVUre/ta5eQUhIlpNEx9PX88X8zbTqHYyDw/pFJ2TVhDWPGQCicfeTRNE5AqJdlnHREVSYkGQsAuTMfErnns33YfTWJ0rIkdw0qqqWiciKTNRlejG/py86K9IazHJmNBF62YulBHXtSOZEBNb3vKh7/+dTQJoTPyJdl1OKFOFi4hcJyJ/cp+3EpHTI5c0E0kl34VYcIgXVrlrYi2UNonXgT7ANe7zLOC1sKfIRFQ8X3PiOW2xYu1DJpBolfRDaZPopao9RGQegKruFZHqpb3JVBQF9U12YTLGeIVSksgWkUTcuggRaQxEv5XTRIRVaxhj/AklSPwTGA00EZGngZ+Av0YkVRXI0excHhm9iP1HsmOdlLAo1HAdpRKFlVz8sKhtAvLTyySCQund9LGIzMGZdE+AS1V1acRSVkF8NmsjH8/YQPWkBB676ORYJ6fMvBdq1Rj2abLrojFxJ5Q2CVR1GbAsQmmpkPLcq2vFvxuu8BkwxkRAKNVNxg/vzW/Fm167cHrzSxJUhoBXCdiHYALwN6YpkixIFJGXpxzNzg369d5ZStbvOczz3y2L+2ARaFYVb6p9kx/nWTGmSop2rawFCR8b9xym51MTOelP4wutqxAMz/KdvPbDatbsOhSh1EWWBYQ4Yw3XJk6UGiREZI+IvCMiAyr75H6XvzGVvYedXkrZucFdNYv+RSrKxbZoOr3N1YrGfWmoSrDPwJQiWv8iwZQkdgLzgb8Am0TkZRHpHdFUxcjOg6EvsFfRomag9Bb0bopaUgrObY3mxgQtHuduOqSqr6pqP5xpOTYDr4vIGhEJyzgJEXlPRHaIyGKfbQ1EZKKIrHR/1w/HucrjeE4eL01aUbjNIsRP7OsFW3h50sowp6z8CrVFxC4ZxmWfgYkXwQSJ/Kugqm5Q1edUtQdwPuFb2/oDYHCRbcOByaraAZjsPo+pT2du4KVJK3n9h1X524qHiJK/3nd/Oo9/TFoR9rSVV351k12djKkQNuw5TPrwcczdsDei5wkmSPzgb6OqLlfVJ8KRCFWdAuwpsvkS4EP38YfApeE4V9Bp8rnY/2PiCtKHj+PwcacEcTSnoFG7orbSFI0F/oJDtNsmpMJV3kWexez4MHnpdkbN3hjrZACw/YBzbz5lxU4APp+zKaLnK3UwnareF9EUBJamqlvdNGwVkSb+XiQiw4BhAGlpaXg8njKdLCsrC99ywY9TfiQ5yXn+6vdOj6VZvzgliFnL1uOptR2AFRsKT8cxY+YsNqWWHnvLms7yWrwjB4Ddu3eT1SgnPx3r9rsB8OhR5s2b7zw+diwq6Vyz2lnbesOGDXg82yJ6rqysrJj97UOxYr3zf7VlyxY8nt3lOlZFyXM4hTvPt4x3rgFNslaH7ZjltX79eqDgfyRSn3NII66LEpE/q+pfwpWYslDVEcAIgIyMDM3MzCzTcZw/bkH31TPOPJOUZOfPkzTpW3Jz8vh+g3OBnbcjlxNP7UWzujW5cfi4Qsc5/bTT6JBWwvpM453XlzWd5ZW7dDvMnU3Dhg1JTT2Un46Fm/bBtJ+pUaMG3bt3g1nTqZGcHJV0LtFVsHI5rVu3JjPzpIiey+PxxOxvH4r1U9fB0iW0aN6czMxTAr5uxJTVzF2/jzev7xnwNRUlz+EU9jzH+HvrmwavE044AdasYu5OmPn9UV7OTIlI+so7TuK3YUmFf9tFpBmA+3tHBM/F0ZwiI5B9H/sp8+85dNzvcSpq9UDhuZu83WFNrJX2Gfz1m2WMX7KNTXsPRyU9Jv4cOJrD4eO5HDgWmW9sMOMkDgT4OQg0j0iqHGOAoe7jocBXETwXt08q/CXz1scfOZ7LcT8D6wJV13uW76iQ4wzUz5NotxBU1PadSAj1f+iMZ/02HRpTbsGUJPYBHVS1TpGf2sDWcCRCRD4FpgEnisgmEbkFeAYYJCIrgUHu86j527fOPIbPfed/PsO1uw5xPKd48PjrN8sYtygsf5ao8l6UFCtBGFOSVTsOctKfvo146W3x5v20f/gbth84GtTrI/W9DSZI/As4IcC+T8KRCFX9jao2U9VqqtpSVd9V1d2qOkBVO7i/i/Z+iqhPZmxg2/6jLNlywO/+uz+dR8dHv/W7765P5vFLgPeVJC9PQ37f42OWcP+oBSGfq+idqu/cTd5dIkJObh65eRY2os37F9976HhIc4mZyPts1kaOZufxTTluBrOO5bBqx8ESX/Ph1HXk5Cn/W77T7/6ig1AjVYERTO+mR0vY98fwJie+9P7b5DK/d8g/fwSgW6t6rNp+kCV/GcyPK/1/2F5vTVnDs+OXMfqOvpzauj77j2STmpxEYkLgepgPpq4D4KyOjejeqh4nNEwp8RyBqnQCdYHt8Oi3pDdM4YcHMks8romMbxdvY8fBGfz3d31jnRTj8s5OVJ6L8k3vz2TWur2se+aCEs7j/M6LcfV1mRquReTxMKej0lqwcR+Hjuey/3A21787s8TXLtq8D4DLXp/KjgNH6fbEBP72TXDrOt0zcj4XvfJTOVLqM3eTzx2KqlO1Fo9UtcK2AYVizvrIDpaqyD6esZ5fvTE1qufMXx6gHMeYta70z9Q7bijW/91l7d10cVhTUQVsLKH+8sjxXO7+dB7fLCoYI+BxB8p8vXBLoddu3neE/Uey+XnVrmLHOXA0J/9xXp4yc23xGrpA11PfuZt8q5vi2chZG7nx/Vl8MXczANe8PT1gFWBFU8njXtg8MnoxsyMQRDfvO8KWfUf87wzjHX5JNzgJCd7XBHmscqfGv7KOk4jvq0ccurDIXf7urGMkJgjjFm2lZrVEvl5QOBg89tUSwBldmT58HHP/NIgBL3jyZ6kFePuGjGLnSR8+jqcu7cKjXzrTYP3feSdy59nt8/cHDBLu7+zcvMBfjihbu+sQS7ceYMgpzfzu37zXSac3vVNXlz7obPrWHJpuO8BJTeuEL6Gm0un3zPcAxaqD0oeP4/b+7YDwBHLVgmqlA0ezWb/rMKe0rOvudXYECkbxNAusP4FH7lRAY4vcrUdDz6cmcfGrP/PI6MX86cvFxfYfKdJY2ePJiYUCBMCt/5rt99iP+hzv+e+WM2pWwXQCWuQ3wNwNe/N7auw9nM3wLxYVO+aanVnFtqmWb1rxvDxl7MIt+Q2zRZteBr34P+74eG7A9xfU2frffywnl3d+XFNobZA3Fxxj8Es/ljnN0RKPBYmj2bnMWFO+0d9ltW3/Ub5ftj0m5w635dsKGqx9A8DQ92Zy0as/5X+nvN+HWP8vBBUkROQ8EXlDRMaIyFfAayJSdEK+CivQwLhI27DHuTAfOh7Z3isP/nchJz76LenDx5Htc8HMzVNufH8ml78+lT98VryH1GafEsWgf0wh61gOo2Zt5K5P5qKqtHnoG3730Vz2H8lm1Y7iQcSfNzyrSXdHqV/7zgzu+mQer3zvTHfy2g+ruXfkPPa6n0eOz9V/58FjxXpZeavDcvPymPRL8QvI42OW8NS4pXwWJ3PuhCIe21me+HoJV42YziuTVzJnffg7G6oqn87cwOHjBdWm3y3Zxu6sY1zy2k/c/MFsRs3aSPrwcRw6llPCkcLnqbG/FPu/8342Obmaf6MUyud13ktT8h/7Hnrehn2Ftn08Y4P3hH6Ps/9I4ZvGSHVCLLW6SUReAjridIX1ziTVEvi9iJyvqvdEJmnR07lZ5a96OOaO6fBWzXiW78SzHCC4vt65eUqPJyfmjw25pldrAMYv2cb3y3dwPCePK3q05KlLu1CjWgIiwtHsXOZv3Efvtg05npNXqL1AVZnm5670y/lb+HL+Fn588Oz8bXsOHee0pycx7Ky2PDykE+Dc1f5zsjPl+j+/X1XoGAs37aNry3p8OtMJDuG8oBw4mk1yUgLJSYlhO6Y/8dLtODs3jx5/mciTl3Zh6VbnDviFiSt4YWLxqpjy8izfyUNfLGLZ1gM8cUkXDhzN5rZ/z6Fby7r5k9q9NcWZO+mlSSt4+8e1YT2/P+/8tJb+JzYutO2tKWsA+MekFazccZCxC7fy6AWd+O2ZbUM+vr+qpJU7DvKh22sRApck8oOI66Olx7k6vB8JEFxJYoiqDlHVkar6k/szErgAGBL+JEVfvDfQhtNT44LrLeWP7+DBa96eUWz7f+duotOfx/PWlDWMnreJuz+dx9UjppM+fByvfF94DY3SSm++d0mr3aquEVPW5Fc5bNobuN3k4ld/LjQAKU+dY+zw2fb4mCUlnt/XuIVbWbx5PwBdH5/Ab0ZMB5xAV/RuLhjrdx8qlBZ/cuOkJLHz4DEOHsvh3s/mF2urmr9xX1jP5f1bbnQ/22z3/2rBpv35r6lZ3QnORQNEXglBddrq3SVWVe07fJy7P50X8LMsKWCPXeiMlfhsVtlKq/4+5sEv/Zh/gwPOmK1gxsos3hWZGolgGq6Pisjpqlq0/+ZpQHBDAeNcCcMQTBk8823xUeqvFLnb7/nUpBKP4dvQ/+s3p+U/vvmD2dzevx2pySXfyft2233m22XF0vTB1HVc17s1rRrUKlYqmL1uD9NW7+aFiSt46/qe3PmJ0y7ivXOeu2FffpUZwI8Pnk2rBrUKHWN31jEWbNrHOSelFUtb/+c9hY5X1LGcXJ4bv7zE/EWL753ujiIrN1762s8sfPxc6tSoFvTxVu04yMAXp3D5qS144LwTaV6vZv4+78X4+2U7uOG9mTx43onF3h/wQq5KAsLFr/5Ev/aN6FWjYN9v3naCetG/d05uHnsOH+eDn9fx9YItnJiWyl3ndCh27GDCtQIHj2azdtchWtavRYOU6kG8K7geUsu2HSzW8SWaggkSNwJviEhtCqqbWgEH3H3GRNWb/yt9uuar3bv9kgx80akbfuv6npxzUhOqJSawcNM+fuUTlHzvEF/93v+KgnM37OXM537gr5edwm9Ob8WeQ8e5/t2Z/LL1AEkJwts3ZHD2SX5nuvdrxbaS23eyc/N4ZPQi7i5yQfvL17/QMS2VX2e0KnEAZjAmL91OSnISLXwu4v5s2H2YLi3qlvgaryPHcxkz3+kk8sW8zSzddpBvfn+GT9tSwQVzyoqdfqe92LjHfwkyN0+plggLN+1n4ab99BqcwtRVuzi9TYNCr/t05gbSG6bQp11Dnhz7Cx9OW88tZ7QB4HiAde1ven9WUPk79S8TyclT6tRI4pVretAotTqdm9Xhjf+t5rJTW9CsbvG/ZbDdaINt84uEYEZczwV6iUhToAVOv6xNqhrZif+jKNYjGk1s3fbvOVzUrTnX9mpdLLh8v6xg8uG/T/C/ouA9I+cDTsPuyh0Hef/ndfn7cvKUJ8f+Qr/2jYDCUyks3ryfLi3qsvfQcf4+YTmPXtCZhAT8Tii5cc9hEhKERZv2Ub9WdUbN3lRoXA3Aez87VTDDv1jEs1ecwlWntc5Pw+x1e8hIb1DsuL5UlSfHLuXSU5tzy4dOz7lPbu1V4nu8F/ZDx3JISU5i7a5DjF2whVxVXpq0kjV/HUKCG7A6/Xl8ofcu3XqA/s978DyQSUKCkJ1XON/Hsov/HQIZOXMDj3/9S/7zEQuPMXX8DDr5tDf6lv7WPXMB3y1xqqC81aXl6bnlexE/cDSHoe8Vrnj5dtE2vr77jGLvy1MY9q/ZTPDT8SJeBD1Owg0Khf4rReQkVfU/A14FkhPgDsJUHV8v2FJsrEqojuXkFQoQXmt2HaLL498VmxDyr98s5b5BHfNLLkUbIn2d+VzxWV6zSmiQ/+N/F7F65yHe/WmteyGfxoQ/nMWqHVnk5CmJIjRKrU63VvXIzXNC1+a9R3jv57X5wQYKtz35s3pnFut2H+KekfMZe/cZxapFvlm8lQ5NahcKtr427DlM24e/4aNbevHI6OJdwYPlGyAApm5x/jZLtwaeC83bFPnv6c7iPTPcwaeR6Fm2yG3TKjp6fsnm/XEdIACkPH8QEdmgqq3DmJ5yycjI0Nmz/Y8dKMnU1btK/TIYUxn1atOA7QeOsm63rUcB8MFNp/HfuZvLfcPgz8hhvfn39PWMWxi5WaLL2uNMROaoavHRuQTXBfafgXYB9cqUonhjBQlTRc3wM3VLVXZjkO0PZRFMO1k8CqYL7E3AYmBOkZ/ZQGxGoYVZVYkRQ/sEmvE9NOHuH2+MiV/BBIlZwGJV/bDoD1DyhOgVREVqtx7YqaBLZY/W9bi+d/AX/j+eX3z96OZ1nb6C6Q1rcWPfdO7ymefJnwcHO90SX7qqO20bp3BNr9bMeXRg/v7J9/fHE+K04tUS/ffEmXRf/5COUxl1qgIDPU14tKpd3tWo/QvmqL8C5vvboaptwpqaGCm6eEdRL/y6W8jHnPCHs8qanBK9MzSDSff1p2NaKk9fdkqhfWd1LBgZek2v1nx48+l8ePPprHvmAtb+bQi1qhfULvbv2JjUavD57/qy7pkL8Pzf2Tx+8cmFjndVRqv8x4NPbgpAurtexaWntuD7+zP562Wn0DA1Of917Rqnkt4ohYeKBKRnr3DSelLT2sXylOAzmNEbhJrVrUH7Jqn0bdcwiL9KyR69oBMzHh5QLE0Afds15MqMlgBUT0pg/p8HhXRs72Rvvt4dmsFjF3Xm2StOYcxd/Xjzuh6lHufWM/1/lb75/Rnc4JYA2zdJZd0zF/DW9QVTp7Vq4L+LaptGhdcVqVfLGcsw+f6SA+8/f3NqqWkNxns3+q3ejmu+f9eK6N4eyaW/qAyC6QJb6Sstu7WqF3BfclICF3dvzv3/Cbz62/w/D+KuT+bxkzt9d+dmdeiYVpsGKdX9jix+6/qe3PbvOYW2nZhWm+XbnYJZxgn1+c/tfcjOVfJUSUoQFm7ez6rtTje79k1SmfAH58vuHZn78JCTuPXMtrR56BsAnrykS6G+8t6+6M3q1mDr/qM8dWkXVi+cWWgwE8CtZ7Vly74j3HpWWzo1q0O/Do1o3aAW7/7k9HgJtvf9bf3bcULDWqQmV+PEprVpXDuZq05rTV6e0uOpiew7nM2I63sy7N9z6NSsTv7o3VrVEnn56u753TWv6NGy0OyuCx8/l66PTyh2vn7tG3LgSE5+LxKvUbf1ye8rf0OfdL6dvZK/X98vf4zEiBsy2LT3MKNmb2LYmW3zB9ZdmdGSMzo0ZuHGfew9nE2rBjXpmFabxZv387rHGafRtnEKw88/iTaNatGyfi2ufcfp/DCgU+EBdF1b1uPegR14adLK/DyDU23n7Zb5yAWdeXhIJ3795jRmr9/Lf3/Xlya1kxER/nxhZ9IbpnBtb6ePyHknN6VLizpsP3CMHx88h417DpOUKJz9dw93ZLbnxYkrGHJKU1btyKJZ3Zq0yN3GDRdlsmTLAdo1TuXtGzLIOpbNm5419G3fkK4t6/KHzxbw8tXdubhbcy7u1pzpa3aXuQ797nPa079jE/5zex+ufXsGx3Pz+L/zTuT574oPEExKENo0SmFlFMYBfHFHXy5/3Vl74ooeLbmpXzo3vj+TXVnOdzRSY2prJydRp2a1QnOhRULDmpEpSQTTcP01MAIYr6rZRfa1xRlQt05V3wt34txJBF8GEoF3VDUi61zXqVGNv51Rkw1JzXnDs5pHL+iUP31F83o1SfIzMOn2/u3yB3WpwuU9WuQHCX93y15ndmjEee5dOcBnw3qT3iiFR0YvYvn2g7x9QwaDOjsXmepJBeft0bo+PVrXL3Y8b1/yerWqIyLMeHgAx7LzAg6mmjr8HPYezqZBSnX8DUmrW7MaL17VPf/5xd2aA/D4RZ1pmFKdgZ2LjyAG6NAklXOKDBgb3KX4FN8JCcL/HjibPYeP06ZRCv+6+XQa107m/JedmVlb1q9V6BwXdG3G7PV7UIW9h49Tp0Y1Rt3WhyvfmlbouB/cdDr7Dmfz06qd+ZMVntq6XqHBVDWrJ3Jvzxq0b1Kbpy/rwnPjl1OzWiInNa3D13edQefmdUhMEBY+fi4p1Z0VAb359+rTtmF+kGjklqC84xG+uKMvtar7Hwl+78CO3DuwY7Htt5zRhhMaOqO1RYRPh/Vmw57DtGucmv+apMQEbj6jcElj7N1n5j/2jvZe9uT5qCrtm6QysFMa1ZOci4bHs5PkpMT8/x/v/9dlp7bMP4bvY4DebQOX4C7u1pwXr+xG+0e+pecJ9fn4t71Yu+sQF73yE69d2yP///u09Ab8PPwc5m3Yy7knNyU3T/nXtHX5F+XJ9/enbaMURISt+50LaJ+/fR/wvGXx8tXd88ex9Ghdn3XPXMCMNbs5Lb0BCQnCrEcGsmDTflo3qJX//b2wa7P86TbCoU3jFG47q13+yH1/WjeolT/hp1ej1Or5f6tYCmacxK3AfcBLIrIH2AnUANKB1cCrqvpVuBMmIonAa8AgnJHes0RkjKr+UvI7y6ZZagK/yTyJPw52qiR85zgqOrfTmLv60bVlPUbO2sA+d/ruPm61yAPndsyf6Mtf9+Ir3SqcxrWTqV0jiV7ul7Fvu0ZMWrqDNo1qFXtPSe46pz0rdxzkvM7OFzOtTo0SXy8iQU8Z4KthanKx6ihfE0NoP6hbqxp13eqPszo2Zv3ugik0igahGtUS+dvlXQtt8zeXTlKC0Lh2cqFpMEbf0S9gGq7tdQLX9ipozymYw58Sp5mon1KdT27txTVvzyh25+kviPvjeSCT3W4J808Xdi60r1piQqEAESoRCbj+RrgkJghJiQl8eWc/2jRMoUa1RDo1q8Oqvxafyq1x7WTOdYPG7wd04LreJ9DjyYkAhfLZrG5Ntu13ZvlJkPLNaPrejRnc/IHTFf6S7i3yg4RXL58AKCJ0d2sSmrrfne6t6oUtSFzeowUPD+nE7HX+K2TuG9SRvu0akpHegMWb9+ePM0lOSqBaYmRKBqEKprppG/Ag8KCIpAPNgCPAClWNZOfq04FVqroGQERGApcAEQkSoejash4At57Zlue/W06t5ETqp1QP2OvnvkEdObV1Pc7sUNBmMOuRgYVec1O/dC7s2owmpVzki2rTKIUxdxUfyVmReJdprFszuDmAatco/m/rDeT+Sn1h517AEso4MWR6oxTSi7QZxKM3r+vJ9gNHecydDPHN63py+0dzOLm505jevYRq2kBK+ni8+5ISEvyOOg+Wv/mygnF6mwZ8fdcZdGlRJ6SJMP1VpXVoksrKHVk8dtHJ1K1Zze+Nx+npDfj9gIKpVXynN3lnaAYPfr6wDLkIv5BWplPVdcC6iKSkuBaA79SKm4CS5wiIsjvPbl9o1beivBeua3u1LtS4G+i1oQaIyibY+Ya6tKjL2zdkcGaHRlRPTCg0Y2p55ywKhvdslX3y4MFdnBKAN0gM7tKUMXf1o0vz4OZq8sf7nfD7t3O3JSYIhDih6ZInzuNIdi5H/KzN0rttg6BLZ74lykB82w+hYAbau85uz6s/OBNZFi1Z9ynSASPjhPr8+aLCpUhwAsfMdXuCKkUEavMMt7IuXxoN/v6NihVCRWQYMAwgLS0Nj8dTppNlZWUVem/LVGFTlpLZNBuPx8MTfWvw2FSnOBzsObKPOx/gz1OnUqd6/F1RiuY5VnYedu4ac7KPB52easB0PzM9eBcqEvx/TuHI8xJ3SuZ9+/bGxd+vNOH6nL3HmLKq5NeV5EiO8/kkSfHPZ/8xZ5/mBY4QfZsnMXVLTrEqqVnTCqYDWQ280EdJSUnB4/Fwe0eAYyH9DRrUEPYcdU5QIxGO+iTp0KHCjeyr1jidOjZuWJ+/zd+56icLe9083tXpOLtWzsNTZM7IXe406YsXzufYsWNFD1GI9/riFanvczwHiU04s816tQSKjZVX1RE4DetkZGRoZmZmmU7m8XjwfW+L5dPYlLWHQX1OpW87Z3K2x6Y6PVGCPUe1HydC9nH69e1bakkiFormOVY27jkMU36gRnJyudOTm6cw4RsGd2lKZmbxLo3hyHPCip0weyYNGzQgMzOuCrd+lTfPz6duRBUyT2tV+otLsf9INkyaQI1qScXStCvrGPwwierVkjia68y9NPn+/gx44X+0qFeTb35/Zn5b1oQl2/J7iUHx72R58/xjnxxOfuw75/HwgZz2dMHU9ikpqZBVUJK4flAGX62exg3nnsZXb0z1mx6AN1oX9BgLlLbWJ2fxumc1Qy86hXeX/gBHA6/GUK16dcguCBSpqakR+T4HHSREpImq7iiy7URVjdTE97OADiLSBtgMXA1cE6FzFVPZqxLiUVnr+H0lJgjTHjqnTI3zwapqswb/OqP8wcGrTo0kbuqXzhU9Whbb5/30E3yqDGtUc3qLqWp+gAA49+SmhboQh1tKcsGlsXHtwjd4Rf9NM9IbBDULQWnTrgO0bZzK38swLiuSQmk+/1FErvQ+EZH7gdHhT5JDVXOAu4DvgKXAKFUNfjmxcrqxbzoAHdMKd2f112gayOluX//kapFd6rKyCFdgbla3ZkSXF/VeQJrUrtptSGUhIjx20cklrkHhe7PgfRQnq7mSmlzy93/s3Wcw1s+U4L6aVrC2x1CqmzKBESLyayAN58J9eiQS5aWq3wDfRPIcgQzu0qzY3cEXd/QN6m7A66Wru7N+9+FS/7GqOu81oaIU3jJOqM/zv+oa8a6mVU1efq8x+OS3vdiZdSy/RPjbACPSI+m5K7oWu3GZdF9/bny/6CKdBYJZgCkpwDQ0JZn1yEDuGzWfH1fuyt/Wol7N+Gq4VtWtIjIeeAjIAx5S1dgtlxQDwfaD96pRLZETSxhYZyomEQlrFYxxeKvxRIS+7iJNELsJJa/00wZTntKu9701y1Cz0Lh2Mm9e15PfvD2dhe6a3zUDDNwMt6Crm0RkIk4X1C7AEOAfIvL3SCXMVD1FBy2aqsUbJBJD+D/wjiqPlvL8h7aoV5P7B3XkvRtPK9P7U5KTCo2Jita3JZR6kNdU9Uv38T4R6YtTqjCmXKpYO7AJoEntGgzslMbt/dsG/Z5ZjwzkWE6IgyrKQwpuZto0Sik2lUaJbxXh7gEdSn9hwalK5G27eeeGDDo3r8OK+ZFZOC2U6qYvizzPAZ4Md4KMMVVTYoLwztDQZo91RukHN1I/HMTn0v3Kb04Nqg0iYmnxVl9VT6R5vZr4X4G9/ELpAnuQgsFs1XE+mSxVjd1fyRhjokgk+h0svrzT/xxk3iAR6ZJ4KCWJQi2wInIpEe7dZIwx8SQWrWYNavkf8+Mt1ZS2Hk55lbnVx61+Oid8STHGmPgWi84VpZ0ybkoSInK5z9MEIIOqszy0iQLr3GTinRA//6f51U0RPk8ovZsu8nmcgzMb7CVhTY2pkqx3k6ko4iVAQEGpxt+6NeEUSpvETZFMiDHGxDvf3k2xvrnxpiTmJQkReaWkdKjq78OaImOMiVcS/dJEoPNJlKJEMCWJ2ZFNgjGOeCrKG+OP7/9opHsVldZIXhAjYl/dNFBVrxeRe1T15Yimxhhj4phQuMoplgraJCJ7nmC6wPYUkROAm0Wkvog08P2JbPJMVRDpOyFjwiWe5hfLL0nEQXXTm8B4oC0wh8LjSdTdbky5xcsdmjGBFLr4xbrhOkpdYEstSajqP1W1E/CeqrZV1TY+PxYgjDFVhsSg4Tqw6HSBDXrEtar+LpIJMcYYE7y4KUkYE2mxLrYbE6xC4yRimA7wbZOIk5KEMZEWP8V4Y/yLxSywgURrFtiYBgkR+bWILBGRPBHJKLLvIRFZJSLLReS8WKXRRF6s78iMKYtI38GXpmAW2MiKdUliMXA5MMV3o4h0Bq4GTgYGA6+LSHQWdDUxEy93aMYEIgKPXtiZNo1SOKlpnaicM1AsSkgoeX+4xDRIqOpSVV3uZ9clwEhVPaaqa4FV2NoVxpgYE4TT0hvwwwOZ1Kwe2/vWaK0nEcossNHUApju83yTu60YERkGDANIS0vD4/GU6YRZWVllfm9FFS95zs5TGtYQLj0hN+LpiZc8R5PlOXymTPkfSQnRKfMePXoUgOnTp7O6VvH7+ay9OwFYuewXPHtWRCzPEQ8SIjIJaOpn1yOq+lWgt/nZ5jdcquoIYARARkaGZmZmliWZeDweyvreiiqe8jwoSstXxVOeo8XyHAbjxwGQ2b8/SYnRqYCpMf17OHqE3r1706pBrWJpee3WAXwyYz2/PaMtCQkSsc854kFCVQeW4W2bgFY+z1sCW8KTImOMKZt4mpYjNTmJYWe1i/h5Yt1wHcgY4GoRSRaRNkAHYGaM02SMqeLiJ0RET6y7wF4mIpuAPsA4EfkOQFWXAKOAX3DmjbpTVXNjl1JjjKmaY3li2nCtqqOB0QH2PQ08Hd0UGWNMYPFU3RQt8VrdZIwxJg5YkDDGGBOQBQljjDEBWZAwxhgTkAUJY4wxAVmQMMYYE5AFCWOMMQFZkDDGGBOQBQljjDEBWZAwxhgTkAUJY4wxAVmQMMYYE5AFCWOMiUPxMpegBQljjDEBWZAwxhgTkAUJY4yJQ+ed3BSAOjWqxTQdMV10yBhjKoJPftuL6Wt2R/WcDw/pxB2Z7ahby4KEMcbEtb7tG9G3faOonjMxQWiYmhzVc/pj1U3GGGMCimmQEJHnRWSZiCwUkdEiUs9n30MiskpElovIeTFMpjHGVFmxLklMBLqoaldgBfAQgIh0Bq4GTgYGA6+LSGLMUmmMMVVUTNskVHWCz9PpwK/cx5cAI1X1GLBWRFYBpwPTopxEY4yJK/+6+XTmbdgXtfOJqkbtZCURka+Bz1T1IxF5FZiuqh+5+94FvlXVz/28bxgwDCAtLa3nyJEjy3T+rKwsUlNTy5z+isjyXDVYnquG8uT57LPPnqOqGf72RbwkISKTgKZ+dj2iql+5r3kEyAE+9r7Nz+v9RjNVHQGMAMjIyNDMzMwypdPj8VDW91ZUlueqwfJcNUQqzxEPEqo6sKT9IjIUuBAYoAXFmk1AK5+XtQS2RCaFxhhjAol176bBwB+Bi1X1sM+uMcDVIpIsIm2ADsDMWKTRGGOqslgPpnsVSAYmijPl4XRVvV1Vl4jIKOAXnGqoO1U1N4bpNMaYKinWvZval7DvaeDpKCbHGGNMEbEeJ2GMMSaOWZAwxhgTkAUJY4wxAcXNYLpwEJGdwPoyvr0RsCuMyakILM9Vg+W5aihPnk9Q1cb+dlSqIFEeIjI70IjDysryXDVYnquGSOXZqpuMMcYEZEHCGGNMQBYkCoyIdQJiwPJcNVieq4aI5NnaJIwxxgRkJQljjDEBWZAwxhgTUKUPEiKSKCLzRGSs+7yBiEwUkZXu7/o+r/W7rraI9BSRRe6+f4o7G2E8EpF1blrni8hsd1tlz3M9EfncXS99qYj0qcx5FpET3c/X+3NARO6tzHkGEJE/iMgSEVksIp+KSI0qkOd73PwuEZF73W3RzbOqVuof4D7gE2Cs+/w5YLj7eDjwrPu4M7AAZ1baNsBqINHdNxPog7MY0rfA+bHOVwn5XQc0KrKtsuf5Q+C37uPqQL3KnmefvCcC24ATKnOegRbAWqCm+3wUcGMlz3MXYDFQC2cy1kk4yyZENc+VuiQhIi2BC4B3fDZfgnNRwf19qc/2kap6TFXXAquA00WkGVBHVaep89f+l897KopKm2cRqQOcBbwLoKrHVXUflTjPRQwAVqvqeip/npOAmiKShHPh3ELlznMnnOUTDqtqDvA/4DKinOdKHSSAl4AHgTyfbWmquhXA/d3E3d4C2Ojzuk3uthbu46Lb45UCE0Rkjjjrf0PlznNbYCfwvlut+I6IpFC58+zrauBT93GlzbOqbgb+DmwAtgL7VXUClTjPOKWIs0SkoYjUAobgrNgZ1TxX2iAhIhcCO1R1TrBv8bNNS9ger/qpag/gfOBOETmrhNdWhjwnAT2AN1T1VOAQThE8kMqQZwBEpDpwMfCf0l7qZ1uFyrNb734JTjVKcyBFRK4r6S1+tlWoPKvqUuBZYCIwHqcqKaeEt0Qkz5U2SAD9gItFZB0wEjhHRD4CtrvFL9zfO9zXB1pXe5P7uOj2uKSqW9zfO4DRwOlU7jxvAjap6gz3+ec4QaMy59nrfGCuqm53n1fmPA8E1qrqTlXNBr4A+lK584yqvquqPVT1LGAPsJIo57nSBglVfUhVW6pqOk6R/HtVvQ5n/eyh7suGAl+5j/2uq+0W5w6KSG+3R8ANPu+JKyKSIiK1vY+Bc3GKrJU2z6q6DdgoIie6mwbgLHtbafPs4zcUVDVB5c7zBqC3iNRy0zoAWErlzjMi0sT93Rq4HOfzjm6eY92CH40fIJOC3k0Ngck4EXky0MDndY/g9AhYjk/rP5CBc7FdjbMut8Q6TwHy2RanSLoAWAI8Utnz7Ka1OzAbWAh8CdSvAnmuBewG6vpsq+x5fgJY5qb33zi9eCp7nn/EuelZAAyIxeds03IYY4wJqNJWNxljjCk/CxLGGGMCsiBhjDEmIAsSxhhjArIgYYwxJiALEsZUQiJygYgsFJFHYp0WU7FZkDCmcroJZ0T22bFOiKnYLEgYU04i4hGRjDAfs56I3OHzPFPcNVECvP5zEWnrs2ksznQMG4u8bpLv+gPGlMaChDHxqR5wR2kvAhCRk3HWDVjjszkVZ7Ru3SIv/3ewxzUGLEiYSkxEHhSR37uP/yEi37uPB4jIRyLyhojMdlf9esLdd76IjPI5RqaIfO0+PldEponIXBH5j4ik+jmn39eIs2LgE+72RSJykru9sTiri80VkbdEZL2INAKeAdqJs/Lc8+7hU6VgBb6P3Xl4AK6l+Fw81wK/A04tUnIYgzPnkzFBsSBhKrMpwJnu4wyci2w14Aycu+xHVDUD6Ar0F5GuONMy93YnSAS4CvjMvXA/CgxUZyr22TirHuYL4jW73O1vAA+42x7DmXyyB86sva3d7cNxFhPqrqr/5247FbgXZwWytjgzHeP+zp8SX0TaA8mqugQnePzKu09V9wLJItIwiL+fMRYkTKU2B+jpzox7DJiGEyzOxAkSV4rIXGAecDLQWZ0VwMYDF4mzAtoFOBfa3jgX559FZD7O7JsnFDlfaa/5widd6e7jM3CmskdVxwN7S8jPTFXdpKp5wHyfYzTDWXjJ61rvMXFmDb22yHF24KzJYEypkmKdAGMiRVWz3fVEbgKm4swSezbQDjiCczd/mqruFZEPgBruWz8D7sSZv3+Wqh50q3YmqmpJVTWlveaY+zuXgu9e8AvSF7y/6DGO+KQd4BqcRXm8bQ/NRKSVqnobsWu47zGmVFaSMJXdFJxgMAWn9HA7zl14HZxV7PaLSBpOd1EvD87CRbfiBAyA6UA/tyoHd12DjkXOFcxrivoJuNJ9/bk405wDHARqB5nHpYD3nL1wqrVaqmq6OuupPIvbDuEGu6bAuiCPbao4CxKmsvsRpzpmmjoruB0FflTVBTjVTEuA94CfvW9Q1VycLqTnu79R1Z3AjcCnIrIQJyCc5HuiYF7jxxPAuW611/k46zcfVNXdONVWi30argMZh7NmCjhVS6OL7B8NeJf67AlMd6vVjCmVrSdhTAyJSDKQq6o5ItIHZ63u7iEeoybwA8765rmlvPZlYIyqTi5rmk3VYm0SxsRWa2CUiCQAx3GquEKiqkdE5DGgBc4ynyVZbAHChMJKEsYYYwKyNgljjDEBWZAwxhgTkAUJY4wxAVmQMMYYE5AFCWOMMQH9P1LG7QNHZIWUAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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9dpQqA046BcaMYY/7mfOXPXYUh8qVwj69eH3ejCrTG6xLtx7MWLUdCB0bqrrfrfJDyvMTlnDTKV2cz717jZGOm6zvc8qCg4hcD1wADNHKQso1QEe/zToA62o6bSYxGuRlBwSHWJvhj5+/iYc/mccH09fw31+eUrE8uFXP05eHBhYvpq0I/4TotSLTyxwLvjL+hW5xlVfvDjuR0//3y4jr35oU2nt574Fy5qzZya1vTaOph/qWqjTIy2ZjjBW6N73h/F+81BU0zo//1rPvYDm79pXxhYd+J8c+MibiuoPlzv9v577Yh0b5tTtxUTh7Ssuq1XFv5Jz1PDN2EVtLSvn90F5xH6e6UtKUVUTOAX4DXKSq/rWRnwBXikg9EekCdANqvg2XSYj6uYFtCXKyKj9uB8oOUbI/fJn29j0HuO7V77jlLedmE20QuO/iHMDtYJQ5El6/8fgq18fSBPf852Ib5bRLy4a8O+zEmPYZN38jN7zufF2qOxbU3gPl/HfWOn77UewtqqL9Xb65/3SaNsiLN2nc8PpUTvzj+JjT5t+72b/i2H9olEQIN3vdlpJSz0Fov9s8uTr9TBKhJpqyvoNTodxDRNaIyM3A34HGwFgR+V5EXgJQ1XnAe8APwGjgdlW1GUBqKQlqPZPtl3W4/OVJPOq2Fw9u3DJi6mq+Wux9nuH3/VrsxKI0QsWuT4PcqhvKlbnB5a1JKyK2aonHqDsGISK0alwv5n23hhl40Kv8XOd24GtFBPD2d96bBfss2FB1Lql90/oxH9PflOXxDTA4feX2iuam/pXtz4z13oLLC1/fk827SxnnDm1S+Ng4BjwxztP+im+MLaG0LHW3v6QHB1W9SlXbqmquqnZQ1VdV9UhV7aiqx7k/P/Pb/nFVPUJVe6iq90Jak/aGHlfZQmmWXyuP/8xYwx8/mx9mj0qbd5fy+//O4+Qnv0hIWlQ1arPDernZrHjyfO46oxtHt20Ssv7G16dyxG9H8dDH8wJ6aFdXx+bOzbNrq0Z8+stT+PyuwfRs05hb/Hrlxqt7QSMObxFa1g/w/UNnccfpR/LRbScFLF8cpUhs8rKtFXUskNgn8Y9vP5mBXVsk7Hi+8bfO+kvyOq09/Mk8wOl3cctb0yrG9IrUyiyYL+OVlQU9fjc67DYjZ68P23cokTwFBxHJF5HLRORZEXlfRN4SkftE5Jikps5klNwqmn2+/OUywGl7vm1P6M3l+MfH8fo3sU+607dT07DLvbRIyXPTe9cZ3Rl15yBOPjLwJrVpd2nYIpR4enwf69cbOc+vvX+v9ofRo01jRt81mNZNYs9J+MvLzmLM3afSp0PTgOUvXtOPv/y4D/m52dxzVg8ObxFYyR7cXDNYVYFx9iNnxZtcwJkJ750Yi9eq8uMEBvGqXPC3r5i/3hkjy//z0Pn+kRW5iUh8I/DODOqgOH/9Lv47y6mCvf3tGTzwYXydKL2KWmsiIo8AFwLFwHfAJiAf6A48KSL5wK9UNXINjTFEr8C97tXv2LXvILPWVF3HEIufDu5K307NuOeNL/lmXWVRwt3vfh9137ygTlkScUi/QL6bQiweueiYijLxvAhB9ILe7Xhi1IKw6/p0OCzq3+2A22HrT5f25uZTupAlQuP8nIgtrnziHU/qqhM60SS/ehXjPnk5WQmbX2LX/uTPzeE/eGLwcOvDv1rGGUcXRNzXt3lw8dy5zzrjbl3o10foiVHzObF+cnpme6lSn6qqj0RY94yItAY6JS5JJlMEd9idvWZHldvHUs/gVYO8HAqa5FMvqPqgrDz6Fyr4Ju21/PeDOOpAOjSrLIcPrqvxaRehrL5Fw7yI+4RTPy+7Ym5qL2I5tj9fHcYdpx9Z7Rn5Jj8whBtenxIyHHs8elfRgikZghsHVPXXnLV6B38aHf4BwMf/ezR84jKWdMrh9NOqkcAIohYrqWrYhsQikisiF6vqJlWNPmKYqXOC7ynFC2tmRi//4p/6eU5UyA36pG8IM4HM81f349xebSreB+ccbis6Muq59x8s5w13CI5wjgqqu7jYrYepqsjN36d+TXp978fdc6qnZsJ9OsQ3kN6kpU6dwg/rQnNE70+LPAf0dSceDsA9Z/XgrjO6xXVun+YN89gVR5PTWP301K5hl//3F6eEXe7FI24dhE9VsXbo899U9OyO5B9fBfZAT9DI6iFirpAWkcEi8jKwArg+4Skyppr+fUtlGbWvOW3LBpE/6o9d3Iu3bjqB83u35ddn96hYnpsd+C0+rWdrBnRpXuW5XyyueiTSIT1bBww5/cwVx7H48XNDzhVJr/aHseixcyve92jTmGYN8ypagt1WdETEfWMZ6sOfb6hzX4usd6asossDIykrPxSxvf+L1/QLGK7CV1TiCxjxuLhv2MESopry2yG8ddMJUbcrvreI35zdM+y6Y6sIrE3ycziydSN6FIQfsjt4HhBf6Wr5IeWtSStibpGUG/QkkKzx/iJ+WkSkk4jcJSJdRKSXiPzJHevofuBioJuqXpKcZJlM4LWMPpl8OYchnSKXoF574uEMdjtu+d/QcnNCvx7ZVTyiL9ywmyWbSjylp+1h+fRs05isLCE3OyukT0hV/HM0OW56fEU/wWP+D+nZuuJ1ozg7ZvmeZH11KU9+tgBVeP2bFRH3Ce7H4BvIsP/hzcJt7sldZ3SPa7/WTfIjFqP5WoYBdG7ZkKws4Y8/OpYjwgy8eFqP8J37VGHcPafy+d2DPaXH1xT3PzPW8NDH83hq9EJGTFnluW5nwsLAYJPoOUZ8qnqU+DewHFgAvAYsAwao6nnA3qDOa8akhT8MDWxA57t5xjOFZn5O6A27quBw9l8nVkxKE4kvCEx6YAij76q8mcT7VO8LCvee1YPWjetxTPvKYqt+rbN5/pp+nH2MU/n5k4Hen9rDXaavP4mvM9fjoyI3Pw7+c1/Upx0f3XZSQHPmmnRY/fAV42PuOjVk2VUndOLDn58csvzFa/sz/Lr+Fe8vcXMy4aZ1jeaSF75hjlt/8urXy7n/wzme61O2B9VhJCvnUNWjxCZgELAUaAGcCqwVkdFEGO/ImFS7bmDngPf+wxiMumMQzxcvYeTsyhv4PWdGfhoNV9STE8dUnP5Wbk3M4Hsf334y3yytrMA/oUtzpjx4RsA2P+1Tj/zcbF6+rpDSsnLqhQl2kbxyfWHFcBj+nv488oiynVs0YIU730VwMBYR+naKP9dQlVO7t+LLRU59Vp9W2Vx4QndO7NqC3fvL2Hew6vL7+nnZHN22CbcMCuxDcliDXFY8eX5A/4383OyAa/ANMR7cGsmLmat2hDRVjXda1mTdjKt6XPkx8A7QF2cYizfdZcuAFiJyus21YKqSgPnuY3L7aaHl7S0bVfYNOLpdEwYd2TJgfbgkPnVZb/p0OCxsK50hR0Vugujv2PaH8dK1/UKWT0hQpXyfjk2jVpDX8wtusQQGgNN7FjDqjkEhy/9excRMxb8+raLVVU3+79+86QSWPXEeK548n7v753PLoK70an8YA49owek9I/+/fPUQo+4cxI/6dQi7zUMXHM0zV1SO3dWqcT3uHOJUrjfIy+H0nq0Zfl1hQq4j3uKhGs85qGoZMN1v0efA5yJSH7gEuBcneHj7tpg6Ydf+gxwsO0SLRtXrsBWPFg0rz/nTU7uGvSEGz5YWbs6AKwo7ckVhx5DlANcM6MQx7ZpwyQvfhl3vM2LYiTSsl8N/fn4SHZvV58Y3pjJv3a6KG0tt0K6pt/kUAF75iXOD7NqqEWu276t2DitWXmbBGzHsxIoOe+/ceiIDj4je8/qmML3SG7j1RtlZ8NoNVY+/FYt47/HJyjl46QT3ADBaVWcCqOo+4G3gbRGp2RmvTVKUH1J6Pfw5F/Vpx59inJoxWN9Hx1J+SBM2CXx2lnjucZzj96T8wLlHhd8m6CZyeWH4J8ZIRCQgNxKJrzjLVwHrqwxue5j3G26qxVIP4uvU9fTlvXnnu9UcF0M/iuqIpSL/xK4t+PNlvTm1eytae5xIKBxfHYOXgBSLO96ZGdd+wc20E8XLYZcDd4rITBF5Q0R+LCLNAFS1Zhqum6T6fvV29h0s5123zfqSTSV0vn8kc6OMhhqO70ZeUlrGlhiHfA4nlrb5VVUWh9vm1kFd4urg5eU8wa4e4PQTPbJ1o4jb/OfnJ/Gfnw+M+djBJv76NCbcW1Tt48Tz9N+6cT53ntEt7o5z0bx0bT8eubByjonp/3NGFVuHurywY7UCA1TOFZ1dxTU+ccmxvOk2j/Yq0qCJ0QYqPKpFckr3vXSCG6GqN6hqX+BZoCvwoYhMFJGHRCR6A2KT1g4G9Rb+YoHTrv3j7+ObQQzg+1U72JOA3jmxZJm93Mz8hw2P1OM4Gl+xAjj1E5EGsvM39Lj2rHjy/CpvTP0Pb0b/w6vuR+FFpxYN6BJlSAwvvHbMq0nn9GrLDSdXFvU0yKv5KWkqBsarIjhcPaATp3ZvxfNXV9Y7ff/QmTGf65K+7aMG+sHtk/M3iOm/r6ozVfWPqnoazkQ984BbkpIyk3S+p/xDQcU2vptCdcayeeNbb/MIR9O5RfSb3I/cJoXZWdE/zv73u3jLxf2bRV7ev0NcA+3VBl5zSNcMqFuj5/haJ4X783x132kUR7iZN45jnKm//Pi4kJ76wZKVS/M6KmsTEQloCqKqu4DFqjosKSkzSbVy6x6O+O0oPpm1LqSdtu/DWFqN4LBsc/WbbP7u/KMi3ni6ucUzg7q1rBjQz8vN3j+AxFtm7P9lFBE6hZnusi654aTONX7Oj28/mTeiTMaULL6HqXCfn47NG0QcyDCe4shUihocROQKnI5w/xGReSLi/x95I1kJM/Gbs2Yn3y6pehA7X0/eEVNWcd2rgZPt5bo30ODipljsijI+jBe3DOpKn45NK3IGAD3bNGbKb4dUBI2uLRtWDMvtpSjFP4AkqkXNC9f0438v78NX9yVh9LNaoE0KKtn7dGxKUY/W0TdMAt/DVFV1DjVh9F2DmPTA6Uk7vpecw2+B/qp6HHAj8E8R+ZG7rnaFwgyhqkxYsClsu+hZq3dw4d+/5upXvgOcp5zRczeEFB35hnGYHjSvwaFDGvd/9f9mVtZRxDLhi68Fz4hhJ/LgeYGtjHKzs3jmx8dVvP/71f1o3SS/4un9kDpPrhPuLfI00qj/016isuNNG+Rxaf8OdKwjOYhPf3kKz13VF4BnrzwuruKS2qxyMp7U3v5aNapH28OqN6teVbwEh2xVXQ+gqlOA04AHReQOrKd0Srz2zQpufGNq2KGhhz7/TcD7d6et5mf/ms6IqYGjZ/qaAAYXHT31+cKQQOJFSWkZd0WYI2FQt8qOZ/9w28Pf7Nd+/A9De7HiyfM5sWsLbh0cflRMH1/be9/38pAqIuK5AtY/t5CMJ7+PbjuJ8b8KHZKhtvr3LQN47YbATl5HtW3CRX3aMeqOQVzUJzXDYaTSBW4LJN+wJNFceXxHerut7grcCZsuiKEVUyTJqmvw8VLNvVtEjlDVpQCqul5EioD/A2wmuBT4gzv38vqdgcNOHywPutGPXsAL7iihfxm3iGPaNal4uo70wXrpy6UUuQOM+TbZuGs/zRvmVdl6paw8cv3EA+cexVeLv6JBXjZnHl3AiifPZ8LCTbz6tVNpPeQo78UDvvGO6rutVGJp5w6B5b4e6q8japiXHXZMnWQNEZEqJx/ZkvU7A2ff8/0Nj24XOnVqXXBMu8Ni6sfz5KWVfYc++NlJfL96B4O7t6Jry4aMnLOepXHWzyVrwD0fL1+PnxNU0KCqu4FzgJuSkSjjTfDtfdqKwCKiF/yGj968uzQgV1FVCxv/iXBKSssY8MT4ioAUyYEqgoNvjCL/meB8H+zTe7aO6QnIl5W/+Lh2/OrM7txzVmwjdfrnHOIZjM9nxkNnMuvh6k2BWVu0Paw+jeMc0dUE6ti8ARf2acdh9XO556we0XdIIS/9HGapasWAKm7LpeZAY+CzZCbOxEZjKOXzMliYAOPdsfyjzXsbqfL6qhM6VuQ4/APSITeWhCu2/efNJ4Qdl8hfTnYWvxzSLeZ27lkJCg71crJjHq+oNruqjjVXrSnRps4Np3lDZzj0ZJfpe/5michPgUeBfVSmS3E6xVW132s4fSI2qWovd1lz4F2gM86kQVeo6nZ33QPAzUA5cIeqfu79cjKf//y32/aG71FZlf0HnY5pVeUcvvZr6XTniO+B6B/igxGavd50cpeKYS0CgoMbnMLlGoLnJAA4oXNztu6pfo9r/3qG6gSHuubXZ/egZaO8sGNRmfh5ma7WX5+OTVmzzRn5NsmlSjF1grsXOEZVO6tqF/en6tpDxxs4RVD+7gfGq2o3YLz7HhE5GrgSpy7jHOAFG/k10Hy/qRpDJlvx8GHp+T+jgdCOb9FUVWwEofUdPtnuZDbBKnuZejv/ez8byPhfFXnbuAoBdQ4WGzzLzc5i2OAjGHpcfLOxmfAifW+C3eT2CldVbjy5MwCN85Nb1BdLcFgKxDzBj6pOBLYFLR6KMwQ47u+L/ZaPUNVSVV0OLAHq5PAc01Zso/P9I1m1dS9Tlm/jmIdGsyNKTsFrJ5s9B9XTBCX+D9bRektHCh652Vlh+xP4hqDwMohdIvlfU6qbIhqzqYrxx1o3rvxu+CZYmr1mJ784vRsrnjyf/BgbY8QqltDzAPCtiHwHVFyRqt4Rx3kL/JrHrhcRX3OV9sBkv+3WuMtCiMgwYBhAQUEBxcXFcSQDSkpK4t43mV6b6/yJXx/1DVM3lrPnQDlvjZzI+j2BN/WXPxxPi/pCy/pZLN7ubSyjhRv3sG5V9BEg16/fUPF674Fynnh7HGt2H2LU8oP85vj8gAG/lu0If+4p300mP8edyhIq/taqyg3H5DGwyZYa+fv7/s+rd1cGsR/mzaXe5gVJP3eqpOtnO5ky6ZrLDh6ouJaJ8yufy4OvL1nXHEtweBn4ApgDxD+uQtXCPcqFfcRV1eHAcIDCwkItKiqK64TFxcXEu28yjdw8C9as4aiePXlv8TwANuQU8M6CVQHb/XHKfhrkZfPDo+dQb+lW+G5yuMMF2FxWjw8WR6+vaNu2Dayt7EsxfHblU862/LYUFVWOjtlwxTaYPCnkGINOOYmm9fNg/Gf89NQjKCqqnMC9JvsT+/7Pizfuhm8mAtD72GMp8jh5T22Urp/tZKp11zx6ZMiiB887isdHzadevXoV19Jw6gQ273MCRPD1JeuaYwkOZap6T4LOu1FE2rq5hrY4U5KCk1Pwn2WlA7AuQeesVUbPdZ/ahYrRTb9btjXstnsPlDNl+TbP5ZfvLAgfGO45szvPjF3k6RiqzoTzudlZHNm6UcRz52RlkZeTxcLHziEvDUb59K8At2Ilk2p/+XEf7n53VsCy+nmhxUWpaDwRy7d1gogME5G2ItLc9xPneT8BrndfXw987Lf8ShGpJyJdcKYnnRJm/4y3u9QZm8j/I1FVZ5krXp7EW5NWxn2+M48u4LSgsWremxbaA9untOwQ5z77FWc88yXlh5QHPpwTdjtfS6V6OdlJ79HpRXaCmrIakwiX9O3A8j+eV9GDGtJngL5YgsPVuPUOONOHTgdCZyAPIiLvAJOAHiKyRkRuBp4EzhSRxcCZ7ntUdR7wHvADMBq4XVWrPylALfbIJ/M8z6q1cOOu6BtF8D/nH82xMUys88/JlYFo7tqdrNwavq1CTU8XGY1/ctIsaaaOEhEeHdqr4v1Sd1DMVH88PRcrqWroZKre9rsqwqohEbZ/HHg8nnNloj0HyunbqSnfr94RddvqzL+QnR3/R/HliUsD3j9y4dE88l+nR3VOdcaoSAL/3EKqR9U0xse/yNXXp8g/p52KQew8f3NF5HYRaer3vpmI3JaUVJkAXos/duw9GH2jCKrzhD9qzoaA9y38mqdGm6ikpmUnYVRWY6or3b4nEFux0q2qusP3xu3RfGvCU2RCeC2DrM7kPIks52wQpkItXWQF9JBOYUKM8VMvSnBIxYRSsQSHLPF71HJ7LuclPkkm2PCJy6p9jGidzRJZxNKqcc12bIuFfylXulT8GRMtOMQ6+nAixBIcPgfeE5EhInI68A5OpbFJMF9vyETJy87irZuq7mhenTqHYC1quNdzLPxzDlasZNKF/yCOl/RNjyFKYgkOv8HpBPdz4HacMZHuS0ai6rKPv19Ln9+PSegxrx7QKerY+4lqVVR4eDMapOApx6tsK1YyaahebuWtuFmD0AKZ61MwT7eXOaSHi8glQENVfVFVL1PVS1X15brezDQZIs2mFqxNDKNjDu7uzMRWfG9RxOxpoopYXrm+sKJvQzry7/hmxUomXfi3VvI9v/hnbAce0aKGU+Qt5/Aa0AcYJSLjReQ3ItInyemqs7wOw3vlCR2jbwT85pyenN7TGSKic8uG7DsYPp5XVefgP81nNDnZWVXOGJdqgf0cLDiY9OD/0OLLRRzZulHANvVyshjYteaCRNR+Dqo6GWcwvEdEpAVwFvArEekNzABGq+p7yU2mCXbW0W3467jFEdefcmRLvl6yJWpFl09VT9Gx3OxzIgzRnS4Cm7KmMCHGRNC6cT7/vPmEkM6vCx87t0bTEdO3WFW3quo7qvoTVT0OeB5niAtTwxrWi1yu/+FtJ9GtwHnqqKrk5L5zKqcprKpyNlrpS65fMVJudlZaF9cEdIJL43Saum1Qt1Y0zs9NaRpi6QR3pztFqIjIKyIyA2jp9mg2CdKiobfWwYe3aBhxXb9OzfjZqUdwUZ92XFYYufjptqIjPZ0rWlHXka0bV7xO9xtuYD+H9E6rMakUS87hJlXdhVOs1Bq4EfhjUlJVhzXzEBy8tCwqaJLPc1f1pVECJoaPVg2yP0I9RjqymeCM8SaW4OD7Kp0HvK6qs0j92FAZ55DfY3qkLvVf3leTMyEE+ub+00OW7XFHkK0NrELaGG9iCQ7TRWQMTnD4XEQak7xJf+qceet20vuRz1nmNyx3uBZEBU3q0b5pfQC+/HVRyPqGMQ5d8fatA3jogqOr3Eb9Ala4XEu0+aXTiVixkjGeRC1zEJEcVS0DbgaOA5ap6l635dKNSU5fnfHyl8vYtT/wCTy42emvzuzO+b3bVrwPrnf44GcD6dTC2xgsvrqNk45oyUlHeG+qGu6GWlaeijEjqy/d60dM3fK/l/cJO9FPqngpkJ4sImtwhsoY7Rt8T1W3AuGnJjMxm7ZiW9RtfjkktGHYcR2d4bxfurY/hZ2jz71UPzebfQfL+eLeorDrL+jdlk9nrw9Y1rxh5XAYuWE6uB0oO0T7pvX5zbk9Q9alMwsOJp1c2r9DqpMQIGqxkqoWAne6b/8qIlNF5C8icpaIpO8gOrXMtr3R53QOx3d/a9XYWysnX51GpCk7/351P1Y8eX7F+4v6tOPB84/ih0fP5r+/OIWmYbr2Hyg/xPGdm3FRn3Zh05au0m0iImPSiaemLKq6EngJeElEcoFBwDnAYyKyWVXPr/IAJqr9B+Mrt/cV8xzyWLJzzYDDee2b5WFzAOE8d1Xfite+meJe+UkhY3/YyPIte5ji5niC52Oe9dBZpNk8PyFsDmljIou5naOqHhSRmcAWVb1PRNJjCMFabPue+HIN4BccPEaH351/FAMbbiSnGr2Yzzi6gDOOLuCTWesqgkNw5flhDVLbgccLyzkYE1ksneCK3U5wzYFZwOsi8oyqrk1e8uqGvn8YG3Wb9382MOxy37hHBR4H4svKEnI93BSjzf8AgQEhnQfbi8RyDsZEFkvO4TBV3SUit+D0c3hYRGYnK2EGTu/Zmi8WbKJ143ocH6Gy+fbTjuRH/TtUNG9NlAn3nhp1Zjn/zEdtbBZqOQdjIoulbCFHRNoCVwCfJik9xo+X3EBWliQ8MAA0zs+Nmnuo7eMU1caAZkxNiSU4PIozG9wSVZ0qIl2ByMOCeiAid4vIPBGZKyLviEi+iDQXkbEistj93aw656jNfPfbTbtLU5uQCLJr+dwIlnMwJjLPwUFV31fV3qp6m/t+mapeGu+J3YrsO4BCVe0FZANXAvcD41W1G85sc/fHe450c+iQsiOoyeqSTbsjbp/uXcsCJs6phU/htTGgGVNTPNc5iMhzYRbvBKap6sfVOH99ETkINADWAQ8ARe76N4FinClKa70Xipfw9JhFfHz7yfywfhdXndCJVdv2Rty+PM17HvsXy+w5UHvGV/KxOaSNiSyWCul8oCfwvvv+UmAecLOInKaqd8VyYlVdKyJPA6uAfcAYVR0jIgWqut7dZr2ItA63v4gMA4YBFBQUUFxcHMvpK5SUlMS9b6z+M3kfAEOf/waARjuWsnp35ErftesreyonMo2JuuZ5WyqH91izdj3FxdF7eadKuGuuqf97qtTkZztd2DUnTizB4UjgdHecJUTkRWAMcCYwJ9YTu3UJQ4EuwA7gfRG51uv+qjocGA5QWFioRUVFsSYBcG4Q8e4bq7/M+wZ27ah4f/LJJ7NscwlMnRR2+3Zt28DaNQAJTWOirjlv6RaY9h0Abdq0oagofWePDbjm0SOBxP5N01FNfrbThV1z4sRSId0e8B/prSHQTlXLgXhqTM8AlqvqZlU9CHwInARsdFtF4f7eFMex09Ks1TsC3m/bU1pl0YaXuR1Syb+eodzr5NfGmFohluDwFPC9iLwuIm8AM4GnRaQhMC6Oc68CThSRBuLcIYcA84FPgOvdba4H4q3PSHtvTVoZMH+Dv79d1ZfrB3YGoE/QXLLpwr9C12KDMZnFU7GSiGTh3LhPAk7AmeTnt6q6zt3k17GeWFW/E5EPgBlAGU6wGQ40At4TkZtxAsjlsR47Ha3ZHlrxvPdAOeURhr240B3EbtFj53oeB6mm+bdWihTkjDG1k9eB9w6JyP+q6kAS+CSvqg8DDwctLsXJRWSUP3z6Q8iy8kPKu1NXV7lfpNng0kFAsZLXkf+MMbVCLHeeMSJyqVj7v7iEe7AuO6R8NLP2Dk1lxUrGZK5YWivdg1MJXS4i+3CKllRVmyQlZRkm3L1zxsrtNZ6ORPLv52DFSsZkFs/BQVUbJzMhddGGXfvDLn/71gE1nJL45OXUzmKlLPE+iq0xdVUsPaQFuAbooqp/EJGOQFtVnZK01GWQcA/WkW6okUZgTTc5frP51KLYwII/nIsVjhpTtVjqHF4ABgJXu+9LgOcTnqKMVfXd8+dFR1S8ri3jFPnP4aC1qFgpLyeL3GpMdmRMXRDLN2SAqt4O7AdQ1e1AevfSSiMbd1XdT9A/ONSS2BBwg7VOcMZklliCw0ERycZ9BBaRVkB8Ex/XQXPW7qxyvX/lbm1pEOYfHGpTsZIxJrpYgsNzwEdAaxF5HPgaeCIpqaqDauPo0f7FSo8N7ZXClBhjEi2W1kr/FpHpOB3UBLhYVecnLWUZ5vjOzZi6InLT1bxaWAae61ch3alFgxSmxBiTaLH0c0BVFwALkpSWjPLmtys4oUtzjmrrdAOJVlSUUxuDQ5oO62GMqb6YgoPx7uFP5gHQtWVDvri3CC+30Qt6t+XT2eujb5gmbCY1YzJX7XtcrQX8m3Uu27IH8NYC6dkr+zL/0XOSlayEqy0V58aY2FlwiOK/s9ax/2B5yPJ/f7eSzvePpLQsdF1ZmKY7WR5upNlZQv287PgSmiLXnXg4b910QqqTYYxJsKjBQUS2icgrIjKkrg26N2npVn75zkye/KyymmVrSSkHyg7xzJhFAOzaFzp38sHywBa+izfu9hQcaqM/XNyLwd1bpToZxpgE85Jz2Ax8DzwKrBGRZ0XkxKSmKk1sLikN+K2q9H9sHPe8932V+x0sC8w5nPmXibWmY5sxxoC34LBHVf+uqifjDJ+xFnhBRJaJSEb3c9h3wMkV1M91inp8VQmfzl4f8Wb/3PjF9Hl0TMjyqjJdRT3sydsYk168BIeKu5qqrlLVp1S1H3Au8c0dXWv85j9zAPhg+homLd0aMEREpNEinhm7KOzyqhr2vHGjldkbY9KLl+AwIdxCVV2oqr9PcHrS1lX/mBx1zoKdew9GXGelSsaY2iRqcFDVe2oiIekm3Cijh8KMJOW/3eow80T7ZGqFtDEmM1WrKauIPJSohKSb96etCVm2dU9lKZovJPi3Wq1qGOjg2PDTwV2rkzxjjEmq6vZzuCUhqUhD63buC1l2yp8qS9i27TkABE6PWfUIGIHRwbe/Mcako6jDZ4jIrkirgPrVObmINAVeAXrhPIzfBCwE3gU6AyuAK9y5I2rUX8ct9rSdLzg8PvIH/vHV8qjb+bw/PTRnYowx6cJLzmEH0E1VmwT9NAaqOxDQs8BoVe0J9AHmA/cD41W1GzDefZ+2fPUQVQUGgC8WbKqB1BhjTGJ4CQ5vAYdHWPd2vCcWkSbAYOBVAFU9oKo7gKHAm+5mbwIXx3uOmhCtBVM41qPYGJPuJFVz/4rIccBw4AecXMN04E5grao29dtuu6o2C7P/MGAYQEFBQf8RI0bElY6SkhIaNWoUsvyG0Xs87f/koPq0aZjleXuAf5zVgFvHVLZseuOchp73TYRI15zJ7JrrBrvm2Jx22mnTVbUw3Lq4huwWkUdU9ZG4UhN47n7AL1X1OxF5lhiKkFR1OE5wobCwUIuKiuJKRHFxMWH3HT3S0/65bbpzw/uzYjrnmaefxp3li3h2/GL6dWpKUdHJMe1fXRGvOYPZNdcNds2JE29rpYsScO41wBpV/c59/wFOsNgoIm0B3N9pXVj/qxgDg0/7pk5d/hGt6tZTjjGmdog3OFS7R5eqbgBWi0gPd9EQnCKmT4Dr3WXXAx9X91zpaOARLQC44viOKU6JMcaEincmuP4JOv8vgX+LSB6wDLgRJ2C9JyI3A6uAyxN0rhp3bq82fDZ3Q9h1HZs3YMWT59dwiowxxhtPwUFEzsZpNdQepz/COhH5WFVHV+fkqvo9EK4yZEh1jpsuBnRpHhIcjmnXJEWpMcYY77x0gvsr0B2nSauv51YH4A4ROVdV70xe8mq34DmWG+Rl886wOjEVhjGmlvOSczhPVbsHLxSRd4FFOM1PM0rCmvcGDajUraAxTfJzE3NsY4xJIi8V0vtFJNyEA8cD+xOcnrRQHmYO6ETItoFZjTG1hJecww3AiyLSmMpipY7ALnddxilPQM6hfdP6IU26crKqO86hMcbUjKjBQVVnAANEpA1OhbTg9E8I3wwnA4SbtyFWIqHDdFtsMMbUFp6bsrrBICAgiEhPVV2Q8FSlWGlZebWPIQISlHcIrqA2xph0Vd1n2TEJSUWaef2bFRWv83Pj+xOt3rYvNOdgs8EZY2oJL01Zn4u0Cmia0NSkiU27K2d8e+ziY7k3whAZf76sN7/+YHbE4wSHAss5GGNqCy/FSjcCvwJKw6y7KrHJSQ+79h2seH1Z/w70at+Ec/76Vch2fTs1jem42ZZzMMbUEl6Cw1Rgrqp+G7xCRB5JeIrSwMg5gXMY9WzThL6dmjJz1Y6I++RmCxf1aU+DvGz+OXklEFohbTkHY0xt4SU4XEaE/gyq2iWxyUlf4QKDr0Pblcd35MlLewOwe/9B/jl5JbnZYhXSxphaK2ptq6puU9W90bbLRIWHV84x9NcfHxeyvnWTfMbcPZhHh/aqWJab7fxJDykhlQ5ZFhyMMbVE1OAgIv8VkQtFJGTcBxHpKiKPishNyUleanQvcOZYaNEor2LZxX3bR9i2MXk5lX9GX3DoUdA4tELa6hyMMbWEl3aatwKDgAUiMlVERonIFyKyDHgZmK6qryU1lUk2d+1OnhmzsOJ9WbnTQzq4WKhPh8OiHis7S3j71gH865YBtGxUL2Ddqm11MgNmjKmFvPSQ3gDcB9wnIp2BtsA+YFGmFDdd9PevOaRQ2Lk5P3ltCnnu03/wg/6/bhnAxl2lnPHMl1Ue76QjWgJQ1KMVL13bj1+8PZOyQ8r3q3ckI/nGGJNwMU32o6orgBVJSUkK+cbZ+5fbyuhAuTN+RvDcC43zc2mcn8vvzj+Kfn71EZGICOf0akvZoRmJTbAxxiRZvDPBZSRfD+aWjeqxpaSU24qODLvdLYO61mSyjDGmxtX5oeD8524oc7MQqkqT/BxrXWSMqbM8BwcRaR1mWY/EJqfmlfuNzu0LFFv3HEhon4STj2yRsGMZY0xNiCXn8JWIXOF7IyK/Aj5KfJJqlv/MDf7zOCQyOPz+IqcfhGVEjDG1RSx1DkXAcBG5HCgA5gPhZoirVaasL6t47T8DXCJHUG3e0OkvYZP9GGNqC893K1VdD4wGBgKdgbdUtaS6CRCRbBGZKSKfuu+bi8hYEVns/o7eLKgavlpbGRx276987T8ya3VZ5zdjTG0TS53DWGAA0As4D/iLiDydgDTciZML8bkfGK+q3YDx7vukWbCtctq3DTuTMyW2+P7KFiOMMbVELOUcz6vqT1R1h6rOBU4Cdlbn5CLSATgfeMVv8VDgTff1m8DF1TlHLDbsSk5w8OUcLDYYY2oL8W/KWeMnF/kA+CPQGLhXVS8QkR2q2tRvm+2qGlK0JCLDgGEABQUF/UeMGBFXGm4YvSfiujfOaRjXMYOVlis/HbuX3Cz4x1mJOWZ1lJSU0KhRo1Qno0bZNdcNds2xOe2006aramG4dZ4rpEVkN5WNe/KAXKBEVaMPOBT+eBcAm1R1uogUxbq/qg4HhgMUFhZqUVHMh3CMHhlxVdzHDLLvQDmMHU1+Xk7CjlkdxcXFaZGOmmTXXDfYNSeO5+Cgqo3934vIxVSvtdLJwEUich6QDzQRkX8BG0WkraquF5G2wKZqnKNKW0oSV+lclfp52dw5pBvnHdu2Rs5njDHVFXfbSlX9P+D0auz/gKp2UNXOwJXAF6p6LfAJcL272fXAx/GeI5ovF24OeN+zTeMIW1bf3Wd2p0cSj2+MMYkUS7HSj/zeZgGFBPYhS5QngfdE5GZgFXB5Es4BQElpWcB7/34Ol/brkKzTGmNM2oulE9yFfq/LcEZnHZqIRKhqMVDsvt4KDEnEcaPxn6QHYPGmym4b1pvZGFOXxVLncGMyE5IKVXVOS2QPaWOMqW2iBgcR+RtVFB+p6h0JTVFNquL+byNdGGPqMi85h2lJT0UaspyDMaYu8xIczlDV60TkTlV9NukpShMWHIwxdZmXwpP+InI4cJOINHMHxqv4SXYCU8UqpI0xdZmXnMNLOKOxdgWmE1hSr+7yjGOzwBlj6rKoOQdVfU5VjwJeU9WuqtrF7ycjAwNYsZIxpm6LZT6HnyczIal0avdWIcss42CMqcuswSbQslG9kGWWczDG1GUWHAARaJiXHbDM6hyMMXWZBQdXfm5QcLDYYIypw+p0cGhaPxeAgib1yA6KBlasZIypy+p0cDjz6AJ+2rsedw7pHjI+iAUHY0xdVqeDg4gwsF0OeTlZbN4dOPGPBQdjTF1Wp4ODv+A6BqtzMMbUZRYcXI3zcwPeW2slY0xdZsHBFZpzsOBgjKm7LDi4QlsrpSghxhiTBiw4uIJzCjNWbU9RSowxJvUsOLiCcw5TV1hwMMbUXRYcXME5B6tzMMbUZSkLDiLSUUQmiMh8EZknIne6y5uLyFgRWez+blYT6QnOOWRb2DTG1GGpvAWWAb9y54o4EbhdRI4G7gfGq2o3YLz7PulCgoPlHIwxdVjKgoOqrlfVGe7r3cB8oD0wFHjT3exN4OKaSE9wLMjNsayDMabuEtXgUYVSkAiRzsBEoBewSlWb+q3brqohRUsiMgwYBlBQUNB/xIgRcZ27pKSERo0a8duv97KupPJv0a6h8MSgBnEdM935rrkusWuuG+yaY3PaaadNV9XCcOu8zCGdVCLSCPgPcJeq7hKPxTmqOhwYDlBYWKhFRUVxnb+4uJiioiKYNB7YX7G8caNGFBUNjuuY6a7imusQu+a6wa45cVJadiIiuTiB4d+q+qG7eKOItHXXtwU21URa1u3cH/BeQ8ZpNcaYuiOVrZUEeBWYr6rP+K36BLjefX098HFNpw0gDUrbjDEmZVJZrHQycB0wR0S+d5f9FngSeE9EbgZWAZenJnnGGFN3pSw4qOrXQKQKhiE1mRZjjDGBrL1mBMH9Howxpi6x4BDBr87qkeokGGNMylhwiKBxfspb+RpjTMpYcIggx4qVjDF1mD0eB2nZKI+bT+lK/8NrZLw/Y4xJS5ZzcB3b/jAAHrv4WH5edARee2obY0wmsuDgqp+bDUCzBrkpTokxxqSeBQcfN6NwyHpGG2OMBQcfX/2zjalkjDEWHCqIm3WwMZWMMcaCQ4WnLuvNFYUdOKFL81QnxRhjUs6asro6Nm/AU5f1SXUyjDEmLVjOwRhjTAgLDsYYY0JYcDDGGBPCgoMxxpgQFhyMMcaEsOBgjDEmhAUHY4wxISw4GGOMCSGaAeNFiMhmYGWcu7cEtiQwObWBXXPdYNdcN1Tnmg9X1VbhVmREcKgOEZmmqoWpTkdNsmuuG+ya64ZkXbMVKxljjAlhwcEYY0wICw4wPNUJSAG75rrBrrluSMo11/k6B2OMMaEs52CMMSaEBQdjjDEhMjY4iEi2iMwUkU/d981FZKyILHZ/N/Pb9gERWSIiC0XkbL/l/UVkjrvuORGRVFyLFyKywk3r9yIyzV2W6dfcVEQ+EJEFIjJfRAZm8jWLSA/3/+v72SUid2XyNQOIyN0iMk9E5orIOyKSXweu+U73eueJyF3uspq9ZlXNyB/gHuBt4FP3/VPA/e7r+4E/ua+PBmYB9YAuwFIg2103BRgICPAZcG6qr6uK610BtAxalunX/CZwi/s6D2ia6dfsd+3ZwAbg8Ey+ZqA9sByo775/D7ghw6+5FzAXaIAzW+c4oFtNX3NG5hxEpANwPvCK3+KhODcT3N8X+y0foaqlqrocWAKcICJtgSaqOkmdv/JbfvvUFhl7zSLSBBgMvAqgqgdUdQcZfM1BhgBLVXUlmX/NOUB9EcnBuWGuI7Ov+ShgsqruVdUy4EvgEmr4mjMyOAB/Be4DDvktK1DV9QDu79bu8vbAar/t1rjL2ruvg5enKwXGiMh0ERnmLsvka+4KbAZed4sPXxGRhmT2Nfu7EnjHfZ2x16yqa4GngVXAemCnqo4hg68ZJ9cwWERaiEgD4DygIzV8zRkXHETkAmCTqk73ukuYZVrF8nR1sqr2A84FbheRwVVsmwnXnAP0A15U1b7AHpysdiSZcM0AiEgecBHwfrRNwyyrVdfslqsPxSkuaQc0FJFrq9olzLJadc2qOh/4EzAWGI1TZFRWxS5JueaMCw7AycBFIrICGAGcLiL/Aja62Szc35vc7dfgRGWfDjjZ1jXu6+DlaUlV17m/NwEfASeQ2de8Blijqt+57z/ACRaZfM0+5wIzVHWj+z6Tr/kMYLmqblbVg8CHwElk9jWjqq+qaj9VHQxsAxZTw9ecccFBVR9Q1Q6q2hkn6/2Fql4LfAJc7252PfCx+/oT4EoRqSciXXAqfqa42bbdInKiW8P/E7990oqINBSRxr7XwFk4WdOMvWZV3QCsFpEe7qIhwA9k8DX7uYrKIiXI7GteBZwoIg3ctA4B5pPZ14yItHZ/dwJ+hPP/rtlrTnXNfDJ/gCIqWyu1AMbjRODxQHO/7R7EqeFfiF9tPlCIc5NdCvwdt0d5uv3glL/Pcn/mAQ9m+jW7aT0OmAbMBv4PaFYHrrkBsBU4zG9Zpl/z74EFbnr/idMqJ9Ov+Such51ZwJBU/J9t+AxjjDEhMq5YyRhjTPVZcDDGGBPCgoMxxpgQFhyMMcaEsOBgjDEmhAUHYzKIiJwvIrNF5MFUp8XUbhYcjMksN+L0oD4t1QkxtZsFB2PiJCLFIlKY4GM2FZHb/N4XiTsnSYTtPxCRrn6LPsUZNmF10Hbj/Mf/NyYaCw7GpJemwG3RNgIQkWNwxu1f5re4EU7v2sOCNv+n1+MaAxYcTAYSkftE5A739V9E5Av39RAR+ZeIvCgi09xZtn7vrjtXRN7zO0aRiPzXfX2WiEwSkRki8r6INApzzrDbiDND3+/d5XNEpKe7vJU4s3nNEJGXRWSliLQEngSOEGemtz+7h28klTPe/dsdJwfgGkLHyrkG+DnQNyin8AnOmEzGeGLBwWSiicAg93Uhzs01FzgF56n6QVUtBHoDp4pIb5zhkU90By4E+DHwrnvD/h1whjpDok/DmWWwgodttrjLXwTudZc9jDMoZD+cUXQ7ucvvx5nE5zhV/bW7rC9wF86MX11xRh7G/V0xNL2IHAnUU9V5OEHjMt86Vd0O1BORFh7+fsZYcDAZaTrQ3x2pthSYhBMkBuEEhytEZAYwEzgGOFqdGbdGAxeKM+PY+Tg32BNxbsrfiMj3OKNhHh50vmjbfOiXrs7u61NwhpRHVUcD26u4nimqukZVDwHf+x2jLc6ERz7X+I6JM4rnNUHH2YQzJ4IxUeWkOgHGJJqqHnTn87gR+BZn1NbTgCOAfThP78er6nYReQPId3d9F7gdZ/z8qaq62y3CGauqVRXJRNum1P1dTuV3LpbJ7Uv9XvsfY59f2gGuxpkMx1e30FZEOqqqr3I6393HmKgs52Ay1UScIDARJ7fwM5yn7iY4s8btFJECnGafPsU4EwbdihMoACYDJ7tFNrjzCnQPOpeXbYJ9DVzhbn8WznDjALuBxh6vcT7gO+cAnOKrDqraWZ35TP6EW8/gBrk2wAqPxzZ1nAUHk6m+wil2maTOjGn7ga9UdRZOcdI84DXgG98OqlqO0xT0XPc3qroZuAF4R0Rm4wSCnv4n8rJNGL8HznKLt87FmR95t6puxSmemutXIR3JSJw5S8ApQvooaP1HgG9Kzf44k9ZXNd2kMRVsPgdjUkBE6gHlqlomIgNx5sI+LsZj1Acm4MwfXh5l22eBT1R1fLxpNnWL1TkYkxqdgPdEJAs4gFOUFRNV3SciDwPtcabTrMpcCwwmFpZzMMYYE8LqHIwxxoSw4GCMMSaEBQdjjDEhLDgYY4wJYcHBGGNMiP8Hbu6S6V+2XvYAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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Zxh2jQtO/blt8fTvSfI4S0fSTCAwCeB3OPNM9VHUXzpAc1/iYNmNS0qa8fSxYt52hH/yY7KSEKChQFv663b/jx3EBHjXjF25554eEpeHZCUs5/L4viy0P1EUkKpAtXl9UdCRELjJR4utPEUji3vzQiub8OJ/UUqG4aaqIfIwzRejmwCB/bkun1PqWGFOFPf/tMgY9Mcm3PgzxNLG8+4Mf+XTu2oSl4b1ZqyMuD1xwE9UM9Ma3ZpW6jTpRotDqLdE1t01zr+rhQfcvcd50JL24SVWzgFvdt0+IyAwR+a+InCIiNfxNnqkKktm6KdovdiTrt+9NYEri88OqLSzd4JRl/7h6KwBrtiamQ9n3S39j9I9Flad+FeWUZtvu/Zzx9CSWbcwrVo4fkF+gfDJnDXN+2Zrw84tIxNt1Rdkf9EfxCmDFj+f8Dn/q+S1vX7FtCs+VxKK+qOokVHWlqr6gqucAJwCf4cwgN0lERvuYPmN889nctfT55wQmL/2txO3mrdnGkqBKxeAihjZDR7NhR9GF6+HPfuaesMrNcNt27w85XjwWr9/BezN/4dznvmfgfyYCRWXTiapfvvTladz8dlHlabRFOfvyC/jP2EXs3lf2dvuzV23hhH+MZ96a7Tw1fgl79kfOXEGBcuvIOXy9oPzqiRb/mkfv4d9EXLdjz36OfWQcU9w+FcEC9RqxXPcT+TQWq5g60wGo6n7gB+AtVe2JUwxlTErYsGMPb09bFdW2P6zaCsDCUjpFnfH0d5z834ls3xO5HfybU1YWvn5l8opSz3/hC99z8n8nRpVGL6f8dyJ3vR+5eGLjjgQObhck2ova29NW8tQ3S3k+Z2mZz3ndazPY6QabT+Z4XyjLOupraZZvLD4Mx/Rc76HEF6zbwead+/j32EUhy/flF3DJiKkA5BdEH81vHTmn1G38+gvEMjNdDnCWu88cYKOIfKuqt/uTNFNVBO7ME1Hc1PPR8QA0b1CTmbmbqZmRzp8GRB4UIHBnnBbhvH//YgF79h/gL4M6FS4bOX0VQ/q1L7ZtrCUBwZWiiTR1uXPX+tBnP3N1b79mGy7dnnzn4jdvbeyV6Hv2HyBNhOoZzv1r4Hdpsv72dcTlXVrUjzkN4e5+v3grqtJkpDsfqvDg9cHsoiKpffneQWLV5uiHKg/vQJhosTxJHOR2pjsPp59Ed5wiJ2MSJrzFx/AvF/LxD2sibvv1z+v5flnkoqKf127n2QnL+HcJnb8C5byRYtOIict5Y8pKujz4VeGy9LQ0ftm8i3s+DC1OihTcdu3LZ8y8X3lp4vKQDlh+kiR1WX9netGT0+gf1zH8y4UAfLMwuqKfPfsPFP4vOt0/JmQojbIWxdfISOOxrxYW1tvEIzeOQQPTC4v+QjMQHDQWr89j9qotAMU+I1t37SNaExb5O1x7LEEiQ0Sa4wzy97lP6TGVxIbtexjw75yYBlj7ftkmOt43hpnuY7yq8sK3y7jt3TmF26zctJOCAmXrrn1c/8ZMLn1pGgUFyp/e+aHESstFv+4odqEIfF937nMuUr/lORXRXpXZ6QK3j5pT7EvZtJ7TfuOsoEHvbhs5hxvfmsWjXyzgr5/9TJuho/n65/Wl/g2yH5vAOc9OLnW7cDNyN7N5p3NhaeKmZ83W3RREeZepqrw7Y5VnkVpJhn34U+FF/tXJKyJu41Xxum3XfjrdP4Yb35pFm6FO9ebSDXms3rKLHo9+zYYdZWsc8PM652bh0pemhSz/62fz+VMCm+aGe2nScgCWBH3mfl67nUVhTZT/697EdLo/dP42r+HZkyGWIPEwzux0S1V1hoi0A8o8kIuItBKRCSKyQETmi8it7vJGIjJORJa4vxuW9Vym/Hz0wxqWbdzJm1NXlrjd7n0HmLzUKSbZusu5QF3wwhR+WLWFfUE1sF/+tI7F63dw4mM5vDBxGZt2Ft1prd+xh8/mrg25uL4f1NJkRu5mTn1iYmEFr6ry5tSVhRfVx75axLMTlpL1t695PmdZxMpGcIpP5v5SvHnpC986F4Qfg5qejg0KCIE77SfGhz7VfB+hwjx30y7m/LKVBeu2c+bT37Ex6CKZt9fp0LV5Z/G7zAtfmFL4euOOvUxYtIHew7/hmQlLyS9Q9h8oYPWWyDPM7dl/gOkrNvOXD37i/o/nRcx7adoO+4I3puQyc+WWiOtfnZwbcfnGPKf+5Kv5oQH0w9lrQvIer0BF94Yde1m2Ma/wjv3Vybl8NnctV74ynXlrEt9k+HO3VVjg/Lv3HeD0pybx1tTQ+qq9+wsiBtDAdyEWfg1TFXWdhKq+B7wX9H45cH4C0pAP3KGqs91e3LNEZBxwNTBeVYeLyFCcjnx/ScD5TAQbd+xl0869dGpWVIa7ZutuamSk0bhu/C2dS2q6t3TDDq5/fWbEx/lzn/ueh87sXPj+pv/N5qnfHQPAs98s5dQuzQrXpUcoZlkRNN5/8AUUYPqKzcUuho+PdS7g/xyzkGrpkYtt3vdo4rhm6+7Cu+CSzFuznRlBlZ2XvjyN3OGDI2572pNOkcuQN2fy0R96Fx7/6d8dw0cRit+qZ6SFlHFf8+oMgMKxlhp//03hk9I7NxxPr/YHF24bfBcbCEAzSqiU9fLAJ/M9181etYVrcepJJizcQLdWDWhYp7pns1o/KqIH/PtbgJC/+cTFG9m8cy+f/6lvws8X8NnctfQ7vEnEdXvzD7AljoAQyVsL9vG3hBwpVCwV109FWLwNmKmqn8SbAFVdB6xzX+8QkQXAIcDZQLa72etADhYkymTP/gNkpAkZ6cUfIPv9awK79x8I+QIFmveFX8gOFCgPfzaf6/u247e8vUxYtJGnxi9h2d9PJ92tBQ5ct0sqUw7c2Xt56LOfQ94Heu7u3HeAs54uKtpJi1Dz3KpRLX6JUPn3x/E72XNgWrHlwYKHXki08IBVmh9WbQ0JQF5FJCVVggKFAQLgia8Xk7vpEC7OalXsbzdpyW+oaszpjFbubzu55rUZdG3VgE9u7u35+fhkTuR6qEQIn3L1QIFTFNSpWb2In6WyevDT+Tx8dpeI6+au3saxj4xL+DkTSaLtpCEiI4BOFD1NnA/MB1oBy1X1tjInRqQNMBE4Elilqg2C1m1R1WJFTiIyBLcZbmZmZveRI0fGde68vDzq1q0b174VxdVjdnJEozT+0rMW4OR5b3ptXpm3l/mbnIvMa4PqcPWY0OZ+rw2qE/J+9Y4C7pu8m9b100KmiXxxYG1qZDhfsi9X7OfdRfs4tU0GZ7arztiV+znnsGoh48yEnydeT/WvzS0TQp9GmtQSNu5O/lhDpbn8iOoMbF0NgKdm72H2hvItix7cthqjV5TPENfhn62XTqnNrzuV+ydH35LHT1d2rk6PZhnUqQbXfpX4Ge7KQ/h3NVr9+/ef5XacLibqJwngMOAkVc0HEJHngbHAyUDJvYeiICJ1gQ+A21R1e7QtNVR1BDACICsrS7Ozs+M6f05ODvHum8p+XL2Vs56ZzGd/7AN8x4LNBYX5zMnJYdJvjZi/6ZfC7SNduLOzs/lm4Xoe/2oxA49oyr4MBZZRo1Zt2F7UnLN3377UreF8pBanLYNFC2nVshXjt+zj02VrOLN3V07qnFl04DGJ6Yf58bq6QOiXuiIECHCKCDp06ECBKrM3/Fz6DglWXgECoEv3XjCmqKnqDWN38aeTDgPK3p8iEd74eR9v/LyPTs3qJTspcfPjGhZLkDgEqINTxIT7uoWqHhCRMtUwiUg1nADxP1X90F28XkSaq+o6t1VV1RpyM4yqMnzMQs48ugVHHnJQ1Pud9YxTmRtpuskFmw7w7sxfii2P5NrXZgJOa5GA8Pb++QcK6PHo1/Q5rDGdmzt1G0pRs9bw5q2JEm1Ty1T14KfeZfmVSY9Hi/dlePqb1AgQwUrrXFnVxNK66V/AHBF5VURew+l1/biI1AEi92SJgjiPDP8HLFDV/wSt+hS4yn19FRB3vUdlsDe/gBe/Xc55z39fbN0V/zeN37m9OIOt2VryY/w/ZyS2Z25+gbJxx14++mFNYeujxet3BA0Xobw5JZcjH/wqquagxsSrfvVkp6DyiOpJQkTSgAU44zb1xOl/dI+qBvrJ31WGNPQGrgB+EpE57rJ7gOHAKBG5DlgFXFiGc5SL5RvzaFyvBvVrVvPtHOF1SLNWbmbSksgdyiYtjtzJ5vznv+f/ropY/BhRtEMY5wdV+L7w7TInDUFpK1DlfrcFzPVvzIz6/MnSuG71kEHXjKmKogoSqlogIv9W1V4k+I5eVb/De0j0AYk8l99O+ve3dGhal3G3n5jwYwd6bu4/oKgqb01bxWNjFrLdo3H0yk07Gfph5KqiWSu3RHwi8fJklPMaH/+P8SWu92s4Cr/8IfswHv68/OsJjEklsRQ3jRWR8yVZff8riCUb/LkQHgh6grjylenc//G8iAFixW87Oe+5yZz4WE6Jx4s0YJmXRJUbP5+zLCHH8UO7xnVY8uhpLHxkUOGya3q3ietY955+BBdltSy2vF7NWKoAi/vgphPi2q9FXWHMbf71A0gFF2e1AqBO9fQkp6TyiSVI3I7T/HWfiGwXkR0i4t80WCZE8PAKXsVLnR8YQ//Hc5jtjm5qovfGdT2plp5GzWpFF5lo7ody7sym+UE1Q5bd0K8dJ3XKDFn24hXd+eTm3jGn65/nHwXAq1f3oHvrhnxwUy+G9Gvnuf2Me4sPp3btkTVCOkkCvHB592Lbnd2tReHrL2+NP6gMPKJp3PvGq17NDHKHD+arP/cr93PH6slLuvly3I4NYx7UOypRH1VV66lqmqpWU9X67vuyD7FoSvTMN0uYtXJLVCM97krA+P2p5l8XHO3r8V+4vDuf/6kPLRvWjrh+zgMn072194gwbRrXYcKd2cWWn9olk/9c1DXofbPCjoYAhzaKfD6AWfcN5Ia+bZnzwMlc3ONQcocPpn8n58LbvXUjhp3WiZM6NeXbu4qft0m9GsX+Zoc1CL27nnnfQAYd2YxZ94UGlFsHdOCLW/ry7V3ZHNE89q/2iCu689+Lu3JDX+8gFquFjwyK6imofq3wesCiv3Xu8MHkDh/MIQ1qlXqcZvVrlrpNWZzcOZOzux0S8v/v2vIglj56mq/nLYuog4Q4LheR+933rUSkp39JM+AMF3H+89+HFDdVdpf0aFX4umXD0r/YZTHoyGYlNiluULs6l/Y8tMRjhD59BH4LJ3cOfZoI/hdOuDObxX8rfmFY+MggDq5bg3sHd6ZB7chNdESEV67uQeuD6zByyPGFy6cOc6rwjmwROT+jft+LSXf3Lxxm5eC6NQoHA5w6bADtmtSlc4v6tD44vg5Zp3RpxrnHtIxrXoNP/9ibgUdkFltes1p6saegSH5/ohOYoi0Nr1UtnafdYV76dmhcuLxrK+dv9+i5R0Z1nFhdepzzWWpYp+h/W6NaesRREGLlV0VALCl7DugFXOq+zwOeTXiKqghVZdKSjSWObRRSxLS45NnTKpPbTzm88HWNjMSXMdepns5tAzt4FtvcEjb/RJ+gi0hpgotpwi9YbRoXXXzT05w5E2qEzZcQHHCicXy7gxn1+14sefQ0mrnFXmke3+qebRvRKuwJ5uyuThFTrTjL8r+4pS/T7hnA5KEnRVwf7XwOR7dsUOLTVWkCn5Nor5Ojft+LM7u2YMU/TueNa4vudZ/+3bE8dGbnwjqOeHVt1QBwgtHXbkOW7I5N6N+xeFFcoqYm9auyOJYgcZyq3gzsAVDVLYC1Ro7TW9NWccX/TaftsC/4dVvk/grPTCiqML7jvdgnPqmIbjyxfcjQHZHm23rgjKKB/wYf3dzzWP8476iIy1+6KovbBh7OPacfEXH97ScfHjJeVWb9mrQIqnd4JMI4PA+e2Zk3ru0ZctcbzTBAY27rV3iRqhVjgAjo2bYR1YLuRIMnPPP6GwQMO/0IZt03kIOKFdeU7tVretC5RX0y69eMWJTTs20jPvtjH/51wdFMv2cAU4adxB0nF90AhI8JFuudcKTBEaM5xtg/9+Oolge520tIMK+ekcbVvduW+c6+f0dnQL8b+rblsKZ1mXHvQEZcEbnZeVv35uG+waGfx/An0dKkwpPEfhFJx/3WikgTIEGz6VZ8wXcDH85ezaQlxfso/Ja3t3Co4tVB8yyENx2dmbuZNkNH8/Q3ZR6JPW5vXXdcUs77x5MOCwkSkW6yAl+eEw9vwuMXdGXcn/vx5nU9i12ojj20qC7hk5t78/XtJ9LnkIwS6xi8BC4aj1/YNeLIpdf0bltspE9x7+2Cg8XoW/ow8a7+he/bNq5Dv8ObMPqWPp5347EKnou6bylPQelpwsEeo/zWL6U1VqS7Yiiaz+KYVg1ISxMuympF0/o1aX5QLboc4gTRru5F+vaTDy+sQ0nE2Hp73aG5a7jxtvXBxZ9Oog3G3dyngaNbRj/CQYCE3dc3qVcjZJa9Hu5n8K5TO/Lw2U7R1mXHtS5cXy1dqFcjttZwfj1JxJKKp4CPgKYi8ihwAXCfL6mqIFSVf49dzGXHH1o4eQjA7aOcu/7wO52sv33N8e0aMXJIr2JFEQ98Mo8HzuhMRnoaF7gjcPo5GmlpYiliKYuzu7UImbu4bo0MNucXdWALVCjfOqAD/Q5vggi0alQ75G/bIbMeHTLr8d6NvZi5ckvhaLEdm9Vj8d9OIz1NCiuNrz+qRpmKsFofXJv5Uc4/EPgXZwSV/3TxqC/wWh6P4CDRsmHtuEdGGnf7iazduptzn4u+Tw1A+yZ1GXNbXw5rUnzAzMDFM1AmH1y0lxbDrfCgoKHig9Wo5vytuzRO56nrTqJ6lE8EPds2YllY8/VTumQy55etnNC+cchcIYkw9LROXNyjFR0yi8aJCs6+IDFf9cMDU6LE0rrpf8DdwD9whvY+x51josr6cfU2npmwlEtfmsaomZHnGgg3dflmfly9tdhd0xtTVjJ1+eaoezcnUrP6Nbm5f/G5m0tyZ1C9QbgLuhfvI+Bl2GnFi3yCJ4hvdlBNfn74VG4b2IHurRuGPB2Ea9GgFmd1bRGyrHpGWkirongFvsDpaeI5B4KXI5qX74BxgR7/v+tZtnL1zPo1OSbo731TdvSfkU7N6iekMtbLC1cUb8IL0PygWnx5a18uP6I69WtWi1jHEykWjfp9L2bdf3LIskCsDd8+UN8QDa+PSkZ6WkiAKJ7I0LdRNZ9OgeImVHWhqj6rqs+o6gJ/klRxBO7Ygie4CTZt+SbaDB3NSxOXhyw/65nJjF9QfFC6AlWeS0KHs5OOaMqQvqVfAN65wWlJc0L7g4tdAGpWK3p/QfeWnhP3hIu0XbWwmtfa1TOSNn9zQODs1dLSCv/vpXW2q1ktnbeuO47XrinfRoBtGtfhg5t68eCZkecwiNfdp3bkwz/E16EvnJ+N9Y5oXp8MH+aFgJLrwMoq/CMe/GQQTWDyKyT7F+oNF7uD7kUa1iJ3U/HAMuTNmayMY9L1kkTTA/Xa3m2pXyuDK45vTd8OjRn1+14AvHZNj8Jtlv39dHq1P5jc4YN5+4aiZpdD+rVj4SODmPPAKYXL0tOE6fcM5If7T2bZ30/n8uO9m5BWzyj+EQxuHphqMoKCWjTFI306NE5Kfrq3bhRzS6nSiEiJT3JlFU1d0eCj4r9I9znMKUKtG2VZf6CeMfi/HGvoiWX74KAQV4jz6T6qbOMEVHFlubvdG2EmsT37C5iyLLFNXU/t0owPg6a7DJ/mEqBRneqICI+cE9o2/NigL214kU2gaWPXlg2KXYzSJPRC/7dzjkIV/jctdH7fQHoiGXxUc44PmmIzVVRLl8InCRufJrFO8ahnCPafi7vy34u7xXX8R845kpv7H+bZ/yRcpOKmkm4Mru/Tlpe/WxF6jJhTWXTOwLwWLQ6KroNfKjSBrdK279kfd31B3t58Rv9YfAL6SNZ6NIeN1dvXH8ffzz2Kfwb1vs2sX4PFfzstpEfu5KEn0cjjTjfS3NEBfTs0YfLQk0Iev2856TD3PMU/1I+eG7kpplfF4rOXHcsVx7eOuC6Z0kQKW+80i/LLW9H9vl87erZtlJBjdWvVAJGizm+xykhL87yxKE31jDQOjdDayUvgAh98h391CUWMwUWw8dw/VksXjj20QeE5r+vTlo/+cALfD4tunNMjD/Zn3KpSnyREZDPwIfAO8I0mqudHBXP0Q2M5/ahmPHdZUYXZ/hiCxs1vz/YjWYDTMmP6itCJ6084rDEnONfsYq2sgi/+JQ1VUFpxSvi+tw48nIt7HhrV8AfHHNqAj/4Q+1hGyRLoh5BfoJzT7RBqZqRHdedbGQzz6E8Sj4Z1qrPiH8X7NwT8/dyj6NaqAVt374s4THsynt6CvwbtGtfhsCZ1mfvL1mLbBd/vDDwik/+MW8wpnaP/jIgIb153HF0e/AoRZ+72Y2Io3uvZ3J+CoWhC8kZgDvAwsFpEnhSR40vepeIpUC11kp4vfvo15P1lL0/zM0lRuXVAB94dEtu/44yu0ZXrxtoLNz1NogoQEDr0xvOXHQtQbKC8eNX2YSTQQUc6X/aDalVDRDjtqOYJaTVlQl163KF0blGfE9o3LtZSDfzrMBZJ8O1woIGFIDx67pHcGyFw1q5edJHu3KI+ucMHF3bai/qc7u9oshmoYyna15/792iCxE63NVNvnGE51gDPichyEfm7L6lKgvcX76f38G9Yt614oNi6K/LEM+Fl+8lwcN3qxepGGtQuufdsoJ9A+4PKt7SxTdCj/sU9iiqzj3ZbbiTq+z/1ngHFBq8rqz8PPJypwwZELEoz5ac8W7k1qusUwzauW6Oor4s4rdYujDAU/LW925b5nLEU1LRtHDbGlk9lPNE8nxT+V1R1Fc40pv8SkY7AJf4kq/zN+83pCf3bjn28NjmXAwXKfe7wD7F2JipPwb00AeY+eEpUzf/G33Eii+fO8CtZET39u2MjzrWd6BJMP2YGTEuTKlMHYRyX9jyUujXSOavrITw+dhHsp/BCHKnyO966kkiieUoNf3Lwqx4gmlxNiLRQVRep6l8TnJ6k2Jt/gFU7ip4KXpy4PKSVglc/iFQQ/mE6qFY16kTRxK99k7rUyij9gxjveEKRVHPPd3hmaE/colYkVnxjUkd6mnDuMS1JT5PCG6/gjp4BgQYbiSh9rFsjg5v7t2fUjb1i3tevIFHq1URVb/fp3CnjzSkrC19HU67XZujouMb/8dPVJ7ThjSm5CT/uDw+cnLCOT4FxdaJtgmhMwH2Dj4h6Gl0/tGhQiy279ke8Ogw5sT23n9Kx8P3vS5gUqjQiwl2ndopq28D38uoT2lCrejoNa0TXgjJWZXo+EpEHEpEIEXlFRDaIyLygZY1EZJyILHF/+3ZVDh4j6axnJoes86p3mLVyi1/JKVWkDkUPndWF5SW0GolXzWrpcQ8jHe6oQw7iD9ntC8fxNyZa1/dtx08PnZq08796dQ8eu+Dowrk4vOQOH5zQ1mDRaN+0Ln8Z1Mm3J/GyFqJdn5BUwGvAoLBlQ4HxqtoBGO++90VJQ0j0+ec3Ie///kXyRyMZdnp0dxqpJi1NuHtQJ6v8NRVO0/o1udBjjolkFZKWV1+EUoOEO591pJ8dQPE2anFQ1YnA5rDFZwOvu69fB85JxLkiKamid8OOvSHvR4SNw+S3j8LGynn5yizPqTYrOquSMCZ6hXV5Pp8nmtZNW4Eeqro+fIWI/JLwFBXJVNV1AKq6TkQiDl4vIkOAIQCZmZnk5OTEfKLlq/ZHXH7/G+NiPlaibVseOtnQT/N+ImPDAupVhx37iCu/AXl5eWXaP1E27HKK9Pbs2eN7elIlz+XJrzyn0t8xPC3l+X/+btIkakTRCCTR1q51hthfsngxOXtW+JbnaILEG0BroFiQAN5ObHJip6ojgBEAWVlZmp2dHfMx1k5bBT//VGz5mz9H7h9RnrKzs2HM6ML3XbocSXaXZszscwDV2Ke7DJaTk0M8f69EW7lpJ0zMoVatmr6nJ1XyXJ4Snmf385gSf0ePtJTL/9k9d99+fUM60vl9voDmzZvD6l/o2LEj2ccd6lueSy1uUtX7VHW6x7q/JDxFRdaLSHMA93fxsbUTJNWLOcbfcSItG4b2ZK6RkZ7wUT6Tza9JU4zxU7I/t35fv+KquBaRhxKcjkg+Ba5yX18FfOLXiVJ1dIW3r3emEG3fpC4nulNjRjvMcUVSNUcDM6Zsyut7E2/rprMSmQgReQeYAnQUkdUich0wHDhZRJYAJ7vvfZHsO4GA8LFYTgh6f9/gzjx2wdH0SsHhs8uqcLya1Pg3GBOTZH9uU6HiOpKEpktVf+exKroxcssoEf/k16/tyVWvRCyVK9VtAztwfd92HChQuv51LAC92oUGg1rV0z2b4FUWFiOMiZ5fA/qFi/dJIvIEsxVUIjqhBIqDAk7tkhn1vrcNPJy6NTJC+mu8E+PIrhVZy4a16N66IcPPP7r0jY0xIfx+konqSUJETsXpp3AITunAWhH5RFXH+Ji2cuPH3/jJS46h0/2x/XkCcxbEEmAqg2rpaXxwU2LmTjamqiivOoloJh16AjgcpynsandxS+AWETlNVW/1L3nlI1GR+Mtb+3Lak5OAkifsefXqHvTp0JgO937Jo+cWTRlaLT2NiXf1p2n9krv+G2NSR7LqJCLNnOeHaJ4kTlfVw8MXisi7wGLAgoTriOb1C18HWkylCRSERfz+nZx+geEzxgExTa9ojKm6tChK+CqaOok9ItIzwvIeQGImZE4yPyJxepqQWb8Gw88/mj8PLBZjjTGVRLJbR6ZC66argedFpB5FxU2tgO3uugovkY+L1dPTaNmoFiLCtHuc2dGe+Hpx4k5gjDGUX+umaOaTmA0cJyLNcCquBVitqr+WvGfFUdbWTX07FPVnWPhI+GC20DmoGMoYU7kkrZ9EOU3WFXU/CTcohAQGEemkqgsTnqpydlzbRnHve1FWSx46q0vh+7QI3bdP6dKMnDuzmbp8E1t3Rx5M0BgTnzoJmu+kokqF4qaSjAUOLXWrFNewDDOlXdmrTVSDe7VpXIc24ROXG2PKZNyf+9GwTnJnOqzs80lE0wT2Ka9VQIOEpiZJyjJ2U7K75BtTlXXIrJfsJCSNus2bUqEz3TXAHcDeCOu8htOoUNLLECWS3bLBGJNcftcJeCmvMc+iCRIzgHmq+n34inIaDdZ3Zfkn25OEMSaZUqEz3QV49IdQ1baJTU7Fs3NvfrKTYIxJoqTVSaTKsByqGj73tAliTxLGmGRK+qRDIvKZiJwpItUirGsnIg+LyLX+JC91XNenyj80GQPAa9f0YPQtfZKdjJSR7LGb/BbNsBw3AH2BhSIyQ0S+EJFvRGQ58CIwS1Vf8TWV5aBehFZ0j1/YtfD1hVktI+5ns6qZqia7Y1O6tDgo2ckw5SSaOa5/VdW7VbU9cCHwCHA7cKSqnqyqvk0rWp6ePql4H4bBRzWnQ9O6gDOq68c39y62TZN6NmKrMVVZ0lo3ldMdakyd6VQ1F8j1JSUpqFb1dBrUdkrZqqWn0a1V8TbZrQ+2DnLGmPJXq5rT07xGRrxzx0WnrD2uK71nLzuWr+b9SlvrLW2MSSH3ndGZFg1qcXLnZr6ex98QVEYiMkhEFonIUhEZmow0NK1Xkyt6tUnGqY0xKax6enIvnwfVqsafTz68TJ2BoxH1k4SINFXVDWHLOqrqosQnC0QkHXgWOBlniPIZIvKpqv7sx/nA6Xl9IHyGoDD3nN6JpvVqctu7c/xKhjGmAvjsT33IWbSh9A0T7NYBHdhWjgOFxlLcNElE7lfVUQAicgdwHdDZl5RBT2Cpqi53zzcSOBvwLUgs+/vptBk6usRthvRrD8BPa7bx/qzVJW5rjKm8OjarR8dm5T921J9PLt9JzGIJEtnACBG5EMgEFuBcyP1yCPBL0PvVwHE+ni8m95/RmfvP8Cs+GmNMaohlPol1IjIGGAYUAMNUNc+3lEXu7V6sLEhEhgBDADIzM8nJyYnrZHl5ecX2jfdYFUWkPFd2lueqoTLn2StffuU5ljqJccA64EigJfCKiExU1TsTnirHapxpUgNaAmvDN1LVEcAIgKysLM3Ozo7rZDk5OWRnZ8OYouKmeI9VURTmuQqxPFcNlTLP7rXJK19+5TmW6vlnVfVKVd2qqvOAE4BtCU9RkRlABxFpKyLVgUuAT308X4g/ZLcvr1MZY0zKiqW46eOw9/k4va99oar5IvJH4CsgHXhFVef7db5wdw/qVF6nMsaYlBVLcdMOiuoEqgPVgDxV9W0QF1X9AvjCr+NH8vHNvVn8647yPKUxxqSsWJ4kQtp6icg5+Nu6KSm6tWpAt1YNkp0MY4xJCXF3GXSLn05KXFKMMcakmliKm84LepsGZFF+Q5obY4xJglg6050Z9DofZzTYsxOaGmOMMSklljqJa/xMiDHGmNRTapAQkacpoVhJVW9JaIqMMcakjGieJGb6ngpjjDEpKZogMVBVrxCRW1X1Sd9TZIwxJmVE0wS2u4i0Bq4VkYYi0ij4x+8EGmOMSZ5oniReAMYA7YBZhI7Oqu5yY4wxlVCpTxKq+pSqHoEzdlI7VW0b9GMBwhhjKrGoe1yr6k1+JsQYY0zqSe5M3sYYY1KaBQljjDGeLEgYY4zxZEHCGGOMJwsSxhhjPFmQMMYY48mChDHGGE8WJIwxxnhKapAQkQtFZL6IFIhIVti6YSKyVEQWicipyUqjMcZUZbHMTOeHecB5wIvBC0WkM3AJ0AVoAXwtIoer6oHyT6IxxlRdSX2SUNUFqroowqqzgZGquldVVwBLgZ7lmzpjjDHJfpLwcggwNej9andZMSIyBBgCkJmZSU5OTlwnzMvLi3vfisryXDVYnisXr3z5lWffg4SIfA00i7DqXlX9xGu3CMsiTqGqqiOAEQBZWVmanZ0dTzLJyckh3n0rKstz1WB5riTGjAbwzJdfefY9SKjqwDh2Ww20CnrfElibmBQZY4yJVqo2gf0UuEREaohIW6ADMD3JaTLGmCon2U1gzxWR1UAvYLSIfAWgqvOBUcDPOLPi3Wwtm4wxpvwlteJaVT8CPvJY9yjwaPmmyBhjTLBULW4yxhiTAixIGGOM8WRBwhhjjCcLEsYYYzxZkDDGGOPJgoQxxhhPFiSMMcZ4siBhjDHGkwUJY4wxnixIGGOM8WRBwhhjjCcLEsYYYzxZkDDGGOPJgoQxxhhPFiSMMcZ4Sup8EsYYY6Lz5CXd2L4nv9zPa0HCGGMqgLO7HZKU81pxkzHGGE8WJIwxxnhKapAQkcdEZKGI/CgiH4lIg6B1w0RkqYgsEpFTk5hMY4ypspL9JDEOOFJVjwYWA8MARKQzcAnQBRgEPCci6UlLpTHGVFFJDRKqOlZVA9X1U4GW7uuzgZGquldVVwBLgZ7JSKMxxlRlyX6SCHYt8KX7+hDgl6B1q91lxhhjypHvTWBF5GugWYRV96rqJ+429wL5wP8Cu0XYXj2OPwQYApCZmUlOTk5c6czLy4t734rK8lw1WJ6rBr/y7HuQUNWBJa0XkauAM4ABqhoIBKuBVkGbtQTWehx/BDACICsrS7Ozs+NKZ05ODvHuW1FZnqsGy3PV4Feepei6XP5EZBDwH+BEVd0YtLwL8DZOPUQLYDzQQVUPlHK8jcDKOJPTGPgtzn0rKstz1WB5rhrKkufWqtok0opkB4mlQA1gk7toqqre6K67F6eeIh+4TVW/jHyUhKVlpqpm+XmOVGN5rhosz1WDX3lO6rAcqnpYCeseBR4tx+QYY4wJk0qtm4wxxqQYCxJFRiQ7AUlgea4aLM9Vgy95TmqdhDHGmNRmTxLGGGM8WZAwxhjjqdIHCRFJF5EfRORz930jERknIkvc3w2Dto048qyIdBeRn9x1T4lIpB7hKUFEct20zhGRme6yyp7nBiLyvjui8AIR6VWZ8ywiHd3/b+Bnu4jcVpnzDCAifxaR+SIyT0TeEZGaVSDPt7r5nS8it7nLyjfPqlqpf4DbcTrmfe6+/xcw1H09FPin+7ozMBen30ZbYBmQ7q6bDvTCGS7kS+C0ZOerhPzmAo3DllX2PL8OXO++rg40qOx5Dsp7OvAr0Loy5xln7LYVQC33/Sjg6kqe5yOBeUBtnO4KXwMdyjvPlfpJQkRaAoOBl4MWn41zUcH9fU7Q8mIjz4pIc6C+qk5R56/9RtA+FUWlzbOI1Af6Af8HoKr7VHUrlTjPYQYAy1R1JZU/zxlALRHJwLlwrqVy5/kInA7Gu9QZLftb4FzKOc+VOkgATwB3AwVByzJVdR2A+7upu9xr5NlD3Nfhy1OVAmNFZJY4gx9C5c5zO2Aj8KpbrPiyiNShcuc52CXAO+7rSptnVV0DPA6sAtYB21R1LJU4zzhPEf1E5GARqQ2cjjOmXbnmudIGCRE5A9igqrOi3SXCMi1hearqrarHAqcBN4tIvxK2rQx5zgCOBZ5X1WOAnTiP4F4qQ54BEJHqwFnAe6VtGmFZhcqzW+5+Nk4xSgugjohcXtIuEZZVqDyr6gLgnziTs43BKUrKL2EXX/JcaYME0Bs4S0RygZHASSLyFrDeffzC/b3B3d5r5NnVFE2GFLw8JanqWvf3BuAjnEESK3OeVwOrVXWa+/59nKBRmfMccBowW1XXu+8rc54HAitUdaOq7gc+BE6gcucZVf0/VT1WVfsBm4EllHOeK22QUNVhqtpSVdvgPJJ/o6qXA58CV7mbXQV84r7+FLhERGqISFucCqLp7uPcDhE53m0RcGXQPilFROqISL3Aa+AUnEfWSptnVf0V+EVEOrqLBgA/U4nzHOR3FBU1QeXO8yrgeBGp7aZ1ALCAyp1nRKSp+/tQ4Dyc/3f55jnZNfjl8QNkU9S66WCcoceXuL8bBW13L06LgEUE1f4DWTgX22XAM7g91VPtB6d8fq77Mx9nYqdKnWc3rd2AmcCPwMdAwyqQ59o4oycfFLSssuf5r8BCN71v4rTiqex5noRz0zMXZ86dcv8/27AcxhhjPFXa4iZjjDFlZ0HCGGOMJwsSxhhjPFmQMMYY48mChDHGGE8WJIyphERksIj8KCL3JjstpmKzIGFM5XQNTo/s/slOiKnYLEgYU0YikiMiWQk+ZgMR+UPQ+2xx50Tx2P59EWkXtOhznOEYfgnb7uvg+QeMKY0FCWNSUwPgD6VtBCAiXXDmDVgetLguTm/dg8I2fzPa4xoDFiRMJSYid4vILe7r/4rIN+7rASLylog8LyIz3Vm//uquO01ERgUdI1tEPnNfnyIiU0Rktoi8JyJ1I5wz4jbizBj4V3f5TyLSyV3eRJzZxWaLyIsislJEGgPDgfbizDz3mHv4ulI0A9//3HF4AC6j+Fg8lwE3AceEPTl8ijPmkzFRsSBhKrOJQF/3dRbORbYa0AfnLvteVc0CjgZOFJGjcYZlPt4dIBHgYuBd98J9HzBQnaHYZ+LMelgoim1+c5c/D9zpLnsQZ/DJY3FG7T3UXT4UZzKhbqp6l7vsGOA2nBnI2uGMdIz7u3BIfBE5DKihqvNxgscFgXWqugWoISIHR/H3M8aChKnUZgHd3ZFx9wJTcIJFX5wgcZGIzAZ+ALoAndWZAWwMcKY4M6ANxrnQHo9zcZ4sInNwRt9sHXa+0rb5MChdbdzXfXCGskdVxwBbSsjPdFVdraoFwJygYzTHmXgp4LLAMXFGDb0s7DgbcOZkMKZUGclOgDF+UdX97nwi1wDf44wS2x9oD+zGuZvvoapbROQ1oKa767vAzTjj989Q1R1u0c44VS2pqKa0bfa6vw9Q9N2LfkL6ov3Dj7E7KO0Al+JMyhOoe2guIq1UNVCJXdPdx5hS2ZOEqewm4gSDiThPDzfi3IXXx5nFbpuIZOI0Fw3IwZm46AacgAEwFejtFuXgzmtweNi5otkm3HfARe72p+AMcw6wA6gXZR4XAIFzHodTrNVSVduoM5/KP3HrIdxg1wzIjfLYpoqzIGEqu0k4xTFT1JnBbQ8wSVXn4hQzzQdeASYHdlDVAzhNSE9zf6OqG4GrgXdE5EecgNAp+ETRbBPBX4FT3GKv03Dmb96hqptwiq3mBVVcexmNM2cKOEVLH4Wt/wgITPXZHZjqFqsZUyqbT8KYJBKRGsABVc0XkV44c3V3i/EYtYAJOPObHyhl2yeBT1V1fLxpNlWL1UkYk1yHAqNEJA3Yh1PEFRNV3S0iDwKH4EzzWZJ5FiBMLOxJwhhjjCerkzDGGOPJgoQxxhhPFiSMMcZ4siBhjDHGkwUJY4wxnv4f9/iWVUD1mVMAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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NLwK6+JzeGdgSTj5NYvJfPqMBM2KMCVskHdIAqGoZsAB4VVWH4DbtVMdd5vtFYIWq/tXnoUnAde7t64D3fNJHiUi2iHQHegKzI82nSUzWIW1Mcgh7hrSIFAL/5Z6zENghIp+r6p21nHo68GNgiYgsdNPuAx7DWQL8JmAjcBWAqi4TkQnAcpyRTreqakW4+TSJx2+0ksUGY5JCJMtntHT7Cm7GmefwoIgsru0kVf2S6udDDK/mnEcAm3mdIrSa28aYxBVJs1KG2zdwNfBBjPJjjDEmAUQSHB7G2Q1ujarOEZEewOrYZMukEr/lM6xdyZikEHazkqq+Bbzlc38dcEUsMmVSizUrGZN8IumQfjpE8j5grqq+F+IxY4JYxcGY5BBJs1IOMBCnKWk10B9oA9wkIk9GPWcmZahVHYxJOpGMVjoOOEdVywFE5HngU+A8YEkM8mZShkUEY5JNJDWHTkAzn/vNgKPdOQhhLaFhjE2CMyY5RFJz+BOw0J0MJ8BZwP+KSDNgagzyZlKETYIzJvmEFRxEJA1nqe3TcJbPFuA+VfWsefSb2GTPpALrcjAm+YQVHFS1UkT+oqqnUrUGkjERs3kOxiSHSPocPhWRK6SGtbaNCcV/JzhjTDKIpM/hTpxO6AoROYzTtKSq2iImOTPGGNNgIpkh3TyWGTGpy/ZzMCb5hN2sJI4ficjv3PtdRMT2dja18m9WsuhgTDKIpM/hOeBU4L/d+8XAs1HPkUltFhuMSQqR9DkMVdWTRGQBgKruEZGsGOXLpBDrkDYm+URScygTkXTc77eItAcqY5Irk1Ksz8GY5BNJcHgaeAfoICKPAF8C/xuTXBljjGlQkYxWek1E5uFs7SnApaq6ImY5MynDOqSNST6R9DmgqiuBlTHKi2kErFnJmOQQSbNSnYjISyKyXUSW+qQ9JCKbRWSh++8in8fGiMgaEVklIhfEOn8mviw2GJMcYh4cgJeBESHSn1DVge6/jwBEpA8wCujrnvOc2wlukpj/qqwWHoxJBjEPDqo6A9gd5uEjgfGqWqKq64E1OKvAmiRm/QzGJJ9ag4OI7BaRF0RkeJQX3fuFiCx2m51au2mdgE0+xxS5aSZFWMXBmOQQTof0DmAh8DDwbxF5G3hDVWfV43WfB/6A0wT9B+AvwI04o6AChbyciMhoYDRAXl4ehYWFdcpIcXFxnc9NVvEu87p9Fd7bs2bNYm3TeLRm+rPPuXGwMkdPOMHhoKo+AzwjIsfg9Ak8JyKtcJqA7ov0RVV1m+e2iPwT+MC9WwR08Tm0M7CFEFR1LDAWID8/XwsKCiLNBgCFhYXU9dxkFe8yt9q0F2Z+BcDQoadwTNumcXttD/ucGwcrc/SE8xPO+2teVTeq6p9U9STgQuq4d7SIdPS5exngGck0CRglItki0h3oCcyuy2uYxGT9D8Ykh3BqDtNDJarqKuD3tZ0sIm8ABUA7ESkCHgQKRGQgTpPRBuBn7nMuE5EJwHKgHLhVVStCPK1JIr4jlKzPwZjkUGtwUNU76/MCqvrDEMkv1nD8I8Aj9XnN+qioVP711Xp+dEpXcjJtFG00WDwwJvnUq2dQRB6IVkYSxaRFm/njhyt4Ysq3DZ2VlGSBwpjkUN9hIzdHJRcJ5HCps9Ds/iNlDZyT1GGT4IxJPrU2K4nI/uoeAppENzsNzzOTw65h0aQhbhljElk4HdJ7gZN9h596iMim4MNTgwWH2LD31ZjkEE6z0r+BrtU89noU85IQPON2bchl9PgHBHtfjUkG4YxWur+Gx+6JbnYaXlQXCDHGmCRVpw5pEXkoyvlIGOLWHaz5I3p830p7X41JDnUdrfRfUc1FIvF0SDdsLpKeqnLzuDkUrtoesBOcMSYZ1DU4WOOLqdHhsgqmrtjO9f+a45duNYfEdP+7S/hk2fcNnQ2TQOoaHAZHNRcJxNshbRexeikrd95AkYDlM6zukHBUlVdnbeRnr8xr6KyYBBLWHtLudp2X4uytoMAWEXlPVSfHMG8NwrNlhV3E6qekwlkSK13E3skEt/eQTfg0wcKZBPck0AtnSGuRm9wZuE1ELlTV22OXvfirWoK2IXOR/CoqnTcwLc2/BdJqZImnuKS8obNgElA4NYeLVLVXYKKIvAl8C6RUcPCwa1j9VHreQA1cPqNBsmNqUF5pH4oJFk6fwxERCbWP88nAkSjnp8FVLZ9hX5j6qHQvOOr+52HNdYmnwoKDCSGcmsP1wPMi0pyqZqUuwH73sZRik+Cio7rYajE38VhwMKGEM0N6PjBURI7C6ZAWoEhVU3Lcm3cSXAPnI9lVulFAFXszE5wFBxNKWKOVANxg4BcQRKS3qq6Meq4akK3KGh2VfsNXTSKz4GBCqe9+Dp9GJRcm5XiuN4GXHQu6iafCPhQTQjhDWZ+u7iGgVVRzk0Ds61I/ldXsG20d0omnorKyobNgElA4zUo3AHcBJSEeC7U/dFLzToKzX1P1UlnNrGh7WxNPhcUGE0I4wWEOsFRVvw58IBVXZ63az8HUh+fHaGCQtfc18VifgwklnD6HK4GFoR5Q1e61nSwiL4nIdhFZ6pPWRkSmiMhq929rn8fGiMgaEVnlLtsRV2LRISqqbVayqkPCseBgQqk1OKjqblU9VI/XeBkYEZB2LzBNVXsC09z7iEgfYBTQ1z3nORFJr8drR8yuXdGhPh3SlfamJjTrkDah1BocROR9EblERDJDPNZDRB4WkRurO19VZwC7A5JHAuPc2+NwFvXzpI9X1RJVXQ+sAULNzo6ZqlUf7AtTH74BwYa1JjbrkDahhNPn8FPgTuBJEdkN7ABygG7AWuAZVX0vwtfNU9WtAKq6VUQ6uOmdgFk+xxW5aUFEZDQwGiAvL4/CwsIIs+AoLi72O3fZFmcRsu3bd9T5ORNdYJljYe1eZ1VWVVi0eIk3ff68+exfF9fKIBCfMieacMu8aHvVwnvJ/h7Z5xw94cyQ/h64G7hbRLoBHYHDwLf1bG4KJdTiFSF/bKrqWGAsQH5+vhYUFNTpBQsLC/E9d++CzbB4Ie3bt6egIDW3rQgscyw0/24PzHLGMPTt2w/mO3sFDDppEIO7tonpa4cSjzInmnDLfGTpVpg/H4Czzjo7aCXdZGKfc/RENAlOVTeo6kxVXVjPwLBNRDoCuH+3u+lFOOs2eXQGttTjdSLmt+yDqbNqm5XsfU04vkNZe9z3kQ0aMED9Z0jX1STgOvf2dcB7PumjRCRbRLoDPYHZ8cxY1cxe+4LUR2Wlb3CoSrd3NfGUB/Q5lNrEB0MEayvVlYi8ARQA7USkCHgQeAyYICI3ARuBqwBUdZmITACWA+XArapaEes8+lKrOUSFb0Cw0UqJLXAo65HSSrIz4t8vZBJL2MFBRDqo6vaAtONVdVVN56lqdbOoh1dz/CPAI+HmK9p8h2CauvNtmvC9+FicSDyBm/0cKa+gJUGDE00jE0mz0hcicrXnjojcBbwT/Sw1LE9zkl3E6sevKckmwSW0wJqDTYozEFmzUgEwVkSuAvKAFcR5DkI8VH0v7AtSHxU2zyFpWHAwoYRdc3DnJUwGTsWZ4/BvVS2OUb4aTNV1LHmH8yWCSmtWShqBwcD2lDYQWZ/DFGAr0A9niOlLIjJDVX8dq8w1BOs8jQ614atJIzAYWM3BQGR9Ds+q6k9Uda+qLgVOA/bFKF8NxtrEo8N3NGR1y3ebxBC4fIYFBwORbRP6bsD9cuAP0c5QQ7PW8ejwa1by3+3HJJjAmkPgvAfTOEXSrHSAqq92FpAJFKtqy1hkrKFU2q+mqFC/Dmmf9AbIi6lZRYU1K5lgkdQcmvveF5FLScHRSlVfC+uQrg/fZiXrf0hs1udgQqnz8hluM9M50ctKYrChrNFR7Wgle18Tjg1lNaFE0qx0uc/dNCCfFLyCWod0dFRW06xkEk/gZj82lNVAZJPgLvG5XQ5swNmcJ6VYbIgO/5VYrVkpkQXWFKzfzUBkfQ43xDIjicLmOUSH74AX/2Ylk2jKK6zmYILVGhxE5G/U8J1W1duimqMGZl+L6KiuWcma7RKPzXMwoYRTc5gb81wkEKs5RIfv22hrKyW24HkO9imZ8ILDuar6YxG5XVWfinmOGpjFhujwW3jPJjoktNe+2eh332oOBsIbyjpYRLoCN4pIaxFp4/sv1hmMN9vsJzo8tQURG62UbCw4GAiv5vB3nNVYewDz8J8dpm56yrCgEB2+FxhbWym52PIZBsKoOajq06p6AvCSqvZQ1e4+/1IqMEBVc4jYBOl6KXNHwGSkScCw1obKkanOMW2a+t23moOByPZz+HksM5IoPF8Mu4jVT5m7fkaaWHBIdAdLyrl8UCdOP64tYMHBOOq8fEaq8ozUsFFL9VPuBgen5lCVbu9q4jlQUk775tn8+aoBgAUH42jQ4CAiG0RkiYgsFJG5blobEZkiIqvdv63jmSdvzSGeL5rEnpjyLQMf/jQovdRtVkoT8RutZEE3sZSUV1BaXknznAzS3bZUG8pqIDFqDsNUdaCq5rv37wWmqWpPYJp7P24qvDWHeL5q8npq2mr2Hipj3+Eyv3RPs5JS/SJ8puEdOFIOQPOcTNLTnOBQ02dUWamUlFfEJW+mYSVCcAg0Ehjn3h4HXBrPF6/qc7CLWCT2HCz1u+9pVqpU9Qu0ZRU2EiaRHCxxgkNudgYZac7loKbgcO/ExRx//+S45M00rEgW3osFBT4VEQX+oapjgTxV3QqgqltFpEOoE0VkNDAaIC8vj8LCwjploLi42O/cjZtKANi1e3eNz7m/VCmvVNrkJGJ8rVlgmaPhq1nfsCG36r1Y/53zPpaXV7Bx0yZv+tJly2m5d3VUXzscsShzogunzJsOOMF63eqVfL3H+VxWrV5DYfl3IY+fMPcgAEMf/ojHz2oa8piGZJ9z9DR0cDhdVbe4AWCKiKwM90Q3kIwFyM/P14KCgjploLCwEN9zP9m9GDZtolWr1hQUnFLted3u/RCADY9dXKfXbUiBZa6Xyc77MGDQYPp1qtoU8NM9S2DjRkhL4+ijO8F3zsWm5/G9KcjvEp3XjkBUy5wkwinz/I174KuvOXlQf4Z2bwtTJ9Otew8KCo4NfYL7eW87pAn5ftrnHD0N+rNXVbe4f7cD7+DsLLdNRDoCuH+3xzNPFTZaqU4Cm4u8zUqV6tfBaX0OieVIqdN/0CQz3afPwZr+TAMGBxFpJiLNPbeB84GlwCTgOvew64D34pmvcuuQrpPScv8LimcSXKUq5RVKRpqNhElEhzzBISvd+xlZt5CBhm1WygPeEWf4XAbwuqpOFpE5wAQRuQnYCFwVz0x5f9naNSwiZQF7ApR5O6Sd2zmZ6RSXlFNhV56oKi4pp/hIOUe1zKnT+YfLnODQNCudtDQhPU0orQg9GilwE6DKSiUtzZYSSFUNFhxUdR0wIET6LmB4/HPksGalugm8oPg2M5X6BAerOURXvwc/AWDmmHPo2LJJxOd7gkNOZjrgNC8dKQsdwI+4Q1jbNsti18FSDpdV0Cy7obstTawk31CbGLPgUDel5YE1h6r7h0sryMl0/lcLDA5HymzMfDSs33mwTucdLvXUHJyLfE5mujdgVHds29wsAA6WltfpNU1ysOAQoNxmSNdJYIe07/0DJeU0cX+Z+nZIf7frIL1/N5kJczZh6qa5+8s9sFkvXJ5A4Pl8mmSleTupqzu2bbNsAA6VWGBPZRYcAtgM6boJ7pCuun+wpJwmWc7Fx3e/4tXbigGYvOz7OOQwNXneTc9ktkh5OqSzM5xLQZMaag6eWp7VHBoHCw4BbIZ03QTXHKrev+KScrIz0hDxHyZpy6LXn+f/0+I6BocDR8po5nZGg9O8VN1zeQJJu1yn5nDQag4NYuu+w/zyjQUxb5K14BDA+hzqprSaeQ7g/KrNSEsjI038+hw8wcECcd153rlDdQwOO4tLad8823u/VdNM9h4qC3msJ2h4jreaQ3xt2n2IXcUl/PHDFby/aAtTlm+L6etZcAjg2QUrka9XR8oq+GL1jobOhp/AZqVSn5rDgSPlZGakkZGW5lfDEHdTwQR+qyP2/b4jbN13OO6vu99dQO9IWQV3jF/Avmou8IF2Hijx1gQAWjfNYs+h0pDH7nbXz+ribg6UiH0O3x+s5OH3l/v9OElGe93PYOu+w96BAGf+aTonPzLVe0ysvzcWHAJ4Wj1q6nMIHO8db2MmLuHHL85m2orY/nKoje8v/sCaw67iEu+kqpLySjLThOzMNErKk/tLW5tTHp3GqY9+FpfXKq+o9L6fnoD0zxnreHfhFgaEWEY9lJnrdvkNR23TLIuiPYeDVtkFWLJ5H1C1c1w0aw5HyipCzp5/cuq3jP733LCf5+VlJbz01XremL3RmzZ95XbGTFwS1vkz1+7irbmbWPX9AQ6WlLNp9yG+3XYg7Nevq0Ol5fx1yreUlFfw3sLNDHx4CkuK9nHqo5/xk5e+8R4Xz0uPDVIOUFVzqP5TKGvg5QV2FjuL2t00bi6PXn4iPxxyTNSee8POg1z41Be8/8vTOa5D8xqP9b3QlwUMZd1+oMTv/s6DpWRnpFESYgx9XWtpxSXl5GZnsHnvYd6ZX8SgY1rTNjeL3ke1qPacQ6XlbNx9qMZjQvn3zA0cOFLO/32yituG9+SO4T3598wN9O/Siq/X7CQzPY3rT+/md05ZRSXPTl/DT8/swYdLttKheTYFx3fw5mPsjHXM37iXxy4/kRnf7uDk7m04tn1u2Hlat/Og94K6bb/zfq/eXhzy2Genr+GYNk05XFrBSV1bcVyH5iwu2gvAN+t3eY/zdEwPeWQq39w3nKyMNJZu3s/E+UWMd0eVdWntzKfYHyKAeBwqLae4pJwOzasm523cdYgFm/YwfeV27h7Rm6ZZ6Uycv5mubZty0zgnANw2vCe52emMPutYKiuVJ6fWvkjjHeMXkJuTwR8vPZGVu53/v3733jJ6tM/lhn/N8f5wuaXgWETgjMene+9/u62YxUV7uejEjrz89YZqX2PaXWfTpXVTsjLSmL5qOxPnb+bpUQMpKa9EBN74ZiMX9e/oV16omihYXlHJ7PW7Oe24dkHPXVJeQZ8HnPkqs9bu8s4nueSZLwGYs2GP3/GTlzoDOOo6CCFcFhwChLNNaEXAWkHpcZ4l2rVtU75wvzNjJi6JanB4d+FmDpdVMGFuEfdddEKNxy7fut9723eEyxHvxKo074SqRZv2AvDm3E08fmV/50BPn0OI51ZVuo/5iMsGdeKvVw9g98FSNuw6SMsmWbz45Xq27jtM4aod9MrL5dtt/hfEKb86i7Ez1nFch1x6d2zBdS/N5pSO6fzPtI/p1KoJa3cc5PJBnbjj3F60yc1i6eZ9DOnWhtkbdnPSMa3Jykjj8293cN1Ls+nSpglXnNTZ7yL19LTVPD0t+KL16MdV60aWVVTyt8/W8PS01X7n/qB/R3q0a8aion18/q3TNHjaY/41jUsHHs27C7cA8N6tp7Py+/3kd2tDt7bNvP+vlZZX8tCkZd5zPlu5naWb9zFp0RZv2vWTD3oXyqtJr7yqHwGefqCS8koGPjwl5PFtmjmjlf744QrmbNhN/86taJ+bzeuzN7Jl72FuKTiWh95fDkC/Ti1Yunl/0HN4yhfI876e3asDHy7Z6k2/+u8zeeH6fHIy0slMFzbsOsQ784u449xe3ud6ddZGv+e69oVv/O6f+afpfvefK1zrvV1TYAAY/pfPGdC5Jc/9aDA3/GsO4DT9fLF6p/eYh95fzis3DeGZz9bwzfrd1T7X3PvPZd2Og2zcfYhzT+jg9z7P3hD6PM9Cn1B1/RkzcQljJi6hX9t0YrHWoAWHAOFsE+o7EqesopL0tPSY58tXNBev23+kDFVo2SQTcJZRAOcCv37nQUrLKxk3cwMndmrJmIlL+Pj2M/nZK/O4dugxfr9yF23ay8tfrScrI5373nGq8L+9uA+/e3dp0Gtu2n2Im8bN4bw+eUGPfb/vCFkZaexwax7vLNhMTmYab8wOPRciMDAAnPfEjKC0WVudgLV2hzNZbOKCzUxcsLn6N8ab18Nh/XoNdMbjn3l/zfv6YPHWEEf7871wjnz2q1qPv2pwZ96aV8QP/vZlZJl0vfHTqtWH7zi3F89OX1vD0SA+w8w+WbaNT5b5N296AgMQMjCE44In/T/D2Rt20/+h4Kaypz9bE5Q2tHubGi/OdbWoaB+n+wRy38Dg8eMXZ9f6PPl/nFrrMZFYuis2fT8WHAKEM1rJ9+IcOOO3rKKSByct447hPenQIvR6NxWVyktfruf607uRmR55t091yxv4+n7fEU55dBoPj+zLT07tBsD2/Uf46b/nsqjoIFftWMSfruzv/cLdM6I3j0+u+uW7Yut+hv25MOh5L3zqC8D/VzI4bdcz1+3yS/M0PwTy/ILzXNhnfLuDAb//1NtEBPDDIVXLelcXGBKFSHBNM1RgCKVTqyZs3nuYnxccy/OFNV+Uq/OHS/vx1rwi7/0v7h4W9Cu5OrPGDPfrc8hMT+OiE4/ioyWh5548d+1JAAw6phULNu6tU35Dad00kz1hdqLX5tWbh7Jy6wFvs0yo8vzzJ/nMWreLH53SlWkrtvHHD1fQv3NL7h3Rm/8OqHE0VhYcAoSzh7TvSIiy8kqoGuzBB4u38Po3G3n9m43V7vXw9LTVPDVtNc8WrmHhA+dHlD9V9W7t6BG4ANrWfYe9naIPvLeMB95bRqC35hX5XVB8AwMEt3PWhac2Eo59h/23Gp0wt6iGo+Pv7hHHc0vBcYBTq7rq7zP5xTnH0bVtU3of1QJV5dbX59OjXS7PTHd+zbZtlsWIfkfRJDOdYb07cGz7XL7ff4QOzbPJa5ET1Bx5TX4Xmmal0yQrndzsDB6fvIq/f76W/7uyP795e3FQnk7t0ZY3Rju/+r+4exjPTl/DkO5t6NKmKWseuZBp0z9n6Gmnk54mNM/JZPW2A3y//whDurdh3+GyoPZxj+euHczug6XkZmeQmS48OGkZIwceTde2zbwjm94cfSqrtx/gxS/XU7hqB7sPlrL+0YtYt/MgOw+UcLC0nGHHd/CrZUxbsY0Xv1xPVkYah0oqGD/6FD5cspXu7ZrRr1NLDhwp44Z/zWHud1X/70USNH9yalc2Fm0mMz2NEzu3ZNGD55OdkeZdNyqQp+Z685k9uPH07iiQniY8NWog3+06xKRFW1jj9uGMH30Kf5q8kvk+AbFHu2as23mQJ68ZyIUnHsW7CzZz5eAuvL9oCws27mH51v0RfY9GDjya99xaY6gfHNW5qlf437NIWHAIEE6fQ5lPbWHNjmLym7b2fgkOVbP0AMC7CzZz/7tLuWRAR4Bqx5PX5IInZwQ1pazeXkx5ZSUXP/0lLZtkhhxpEks3nt6dl75aH5Q+sEsr7+37Lz6B4SfkhayNhFJT09nJ3Vrz2BX9efSjFUxdsZ1zT+jAxf078qs3F3mP+cOl/fhsxTaeu3YwAKP/MZVrh/Xnb5+t4eYzu3Nmz/beC93Szfvo1KoJew6V8v3+Iwzo3KrGBeVyMtN5/5dn+KWJiPe1PMHhuWtPYmiPtn7H1bR6ard2zfzu33thb+69sDcAV+V3YeOuQ0xbuY1ubZtxdq/2fj8IurRpymNX9Pfez0hPIztDaNU0y5vWM685Pd3+hQ7Na24K9fQrADw8sl/Q41kZafQ9uiV/vXqgX/qx7XOr7VQffkIew0/wb0q8ZMDR3tvNczJ5++enoarMXLuLfp1b0iInk3tG9Gbp5n0cLqvgmc/W0KppJrcUHEf75tmM+3oDa7YX88Q1A8nKSKOwsKqpJ5IfJ77v5ciBnQC46Yzu9HUXNhzSrQ2/PKcnN7w8h2uHHsNd5x/v9x4BXHOy0/d36aBOXDrIeY7lW/Zz0dNfMO2us+nRrhlXPP81a7YXs+hB50fhjuIScrMzeGfBZq7J7+INDgsfOJ+Fm/Zydq/2QXmtrFQOl1XQNCudikrlyy+Cm1GjwYJDgHXuAmY19jn4jNK56u8z/UYMBY7GKS4p5/1FWxh1chfueHMhUNVMcrn7PxDAmu3FdG7dhO/3HaFz6yZkpKex8vv9/OrNRazYup/7Lz6Bm87oHrKN3bd9ti6B4Zr8Lrw5t6rppu/RLVi2paqt+LWbh/p17t02vCd3nteLqcu3cXK3NrRokkHvo5pzQscWlFVWsmLrfq4d2hVwfnH/afIqrj+tGxnpaaz934v4z7wiLu7f0fvFq8nV+Z059di29GiXyyMfraBFTgYvXHcyAE9cM5BPlm3jysGdAbhsUGfW7Sjm+cK1XJPfhR+f0tX7PDedmE1Bv46M6Ncx6DU8O9i1bpZFjwhGC9Wme8DFvr6OaduUG07vHtXnTEQiEjSqx/MZjbtxiF/6r87rFbN8NMvO4MPbzmBx0T7S0oSC49vz0CV9uDK/C7lhrkbb5+gWfi0IE2853e9xT+3N830Zd+MQpiz/npZNMkMGBnACmefHS0Z67AbDSCrMTs3Pz9e5c8MfC+1r+vTp9M0/lQ7Nc6ioVI697yPAGcs94+5hbNt/hLyAvoPV2w74dXp2bJnDzDHOKuO3vj6fD8PodPQIvPDGwju3nMZlz30NQJc2Tbi5t/Lg10e8j2947GKK9hyibbNs1u0spu/RzhdRVdl/uJyWTTNZunkfOZlpHC6tpF+nFn7NBXX167cW8fa8Im4f3tP7Jd99sJST/uCM3ujcuglf3nNOvV8H4rt95OptB9i2v4QzegYPW4wn2zKzcahPmUVknqrmh3qs0dccpm0s54ZPpvGXqwZ45w8AbNx9yG/42Pl98vjL1QNYXLQvqBP5qJY57DtURosmGREFBggebhdNH/zyDO8vrluHHUt5hTLmohMoLCzknz/J55VZ3/Fbd7hq59bOxCZPYADnF1zLpk7V3Hd/6GjxhJdOrao6rlvkVP0vOfHnp0X9NePBt/nGmGTVqIODqvLqCmea+l1vLarx2E+Xb+PEEEPpABZs3MuAhz/lzhhWcX1lpaex4IHzKCmv9P7KBrjh9G7ccW4vmmdnsPdwmV+b6G8u6O33HOf1yQs5lDSePDWyFk2q/jfMSE+rtiPfGBM/jTo4LC7aF9Xn++uUb8M67m8/HMQlA472q5lE4qr8zjTLzqBZNow6uQvj52xiwe/Oo7VPMAjsLEtEtw3vSfd2zbig71ENnRVjTIBGHRwC1wOKtubZGYy7aQh9j27B8fdPBmDRA+d7m2o2PHYxt49fwMGSCqa66yQtfuh8jpRWBM2R8MzYharOK3BGkvzs7GP9AkOyyMpI4wq3M9kYk1gadXCobm2S8/rkhbUcbqummQzp1oZPA4594Ad9uPEM/1ElH/zyDLq3axY0RPKpUYMAZ+2eHQdKaJGTSYuc4CF4Z/dqz6wxw1m7o5g+R1etC5SVkRb1UTHGGJOQwUFERgBPAenAC6r6WCxeJ9QkoHtG9ObmM7vT87cf13q+ZwLbt9sOcL7P6KXAwAC1d+h6ZjHX5KiWOTWOkzfGmGhJuOAgIunAs8B5QBEwR0Qmqeryms+MXJ+jW/C7U3Lodnw/Zq7dRd9OLbhskNPMcf/FJ5CVkcbQ7m29Haal5ZWkiXjXs/fwXbhs9Fk9op1NY4yJu4QLDsAQYI2qrgMQkfHASCDqwQHg2FbpFISYuXnzmZFd5N//xRn8z6vzuHdE79oPNsaYBJdwk+BE5EpghKre7N7/MTBUVX8RcNxoYDRAXl7e4PHjx9fp9YqLi8nNjd6s2GRgZW4crMyNQ33KPGzYsKSaBBdq6m1QBFPVscBYcGZI13WGoM2obByszI2DlTl6EnGb0CKgi8/9zkDonUGMMcbERCIGhzlATxHpLiJZwChgUgPnyRhjGpWEa1ZS1XIR+QXwCc5Q1pdUNXhDAmOMMTGTcMEBQFU/Aj5q6HwYY0xjlYjNSsYYYxqYBQdjjDFBLDgYY4wJknCT4OpCRHYA39Xx9HbAzlqPSi1W5sbBytw41KfMXVU15H6kKREc6kNE5lY3QzBVWZkbBytz4xCrMluzkjHGmCAWHIwxxgSx4OCuz9TIWJkbBytz4xCTMjf6PgdjjDHBrOZgjDEmiAUHY4wxQVI2OIhIuogsEJEP3PttRGSKiKx2/7b2OXaMiKwRkVUicoFP+mARWeI+9rSIhNprIiGIyAY3rwtFZK6bluplbiUib4vIShFZISKnpnKZReR49/P1/NsvInekcpkBRORXIrJMRJaKyBsiktMIyny7W95lInKHmxbfMqtqSv4D7gReBz5w7/8JuNe9fS/wuHu7D7AIyAa6A2uBdPex2cCpOBsQfQxc2NDlqqG8G4B2AWmpXuZxwM3u7SygVaqX2afs6cD3QNdULjPQCVgPNHHvTwCuT/Ey9wOWAk1xFkedCvSMd5lTsuYgIp2Bi4EXfJJH4lxMcP9e6pM+XlVLVHU9sAYYIiIdgRaqOlOdd/nfPucki5Qts4i0AM4CXgRQ1VJV3UsKlznAcGCtqn5H6pc5A2giIhk4F8wtpHaZTwBmqeohVS0HPgcuI85lTsngADwJ3A1U+qTlqepWAPdvBze9E7DJ57giN62TezswPVEp8KmIzBNnf21I7TL3AHYA/3KbD18QkWakdpl9jQLecG+nbJlVdTPwZ2AjsBXYp6qfksJlxqk1nCUibUWkKXARzu6YcS1zygUHEfkBsF1V54V7Sog0rSE9UZ2uqicBFwK3ishZNRybCmXOAE4CnlfVQcBBnKp2dVKhzACIs0PifwFv1XZoiLSkKrPbrj4Sp7nkaKCZiPyoplNCpCVVmVV1BfA4MAWYjNNkVF7DKTEpc8oFB+B04L9EZAMwHjhHRF4FtrnVLNy/293jq9uzusi9HZiekFR1i/t3O/AOMITULnMRUKSq37j338YJFqlcZo8Lgfmqus29n8plPhdYr6o7VLUMmAicRmqXGVV9UVVPUtWzgN3AauJc5pQLDqo6RlU7q2o3nKr3Z6r6I5x9qK9zD7sOeM+9PQkYJSLZItIdp+NntlttOyAip7g9/D/xOSehiEgzEWnuuQ2cj1M1Tdkyq+r3wCYROd5NGg4sJ4XL7OOHVDUpQWqXeSNwiog0dfM6HFhBapcZEeng/j0GuBzn845vmRu6Zz6W/4ACqkYrtQWm4UTgaUAbn+N+i9PDvwqf3nwgH+ciuxZ4BndGeaL9w2l/X+T+Wwb8NtXL7OZ1IDAXWAy8C7RuBGVuCuwCWvqkpXqZfw+sdPP7Cs6onFQv8xc4P3YWAcMb4nO25TOMMcYESblmJWOMMfVnwcEYY0wQCw7GGGOCWHAwxhgTxIKDMcaYIBYcjEkhInKxiCwWkd82dF5McrPgYExquQFnBvWwhs6ISW4WHIypIxEpFJH8KD9nKxG5xed+gbh7klRz/Nsi0sMn6QOcZRM2BRw31Xf9f2NqY8HBmMTSCriltoMARKQvzrr963ySc3Fm17YMOPyVcJ/XGLDgYFKQiNwtIre5t58Qkc/c28NF5FUReV5E5rq7bP3efexCEZng8xwFIvK+e/t8EZkpIvNF5C0RyQ3xmiGPEWeHvt+76UtEpLeb3l6c3bzmi8g/ROQ7EWkHPAYcK85Ob//nPn2uVO1495q7Tg7AtQSvlXMt8HNgUEBNYRLOmkzGhMWCg0lFM4Az3dv5OBfXTOAMnF/Vv1XVfKA/cLaI9MdZHvkUd+FCgGuAN90L9v3AueosiT4XZ5dBrzCO2emmPw/82k17EGdRyJNwVtE9xk2/F2cTn4Gq+hs3bRBwB86OXz1wVh7G/etdml5EjgOyVXUZTtC40vOYqu4BskWkbRjvnzEWHExKmgcMdleqLQFm4gSJM3GCw9UiMh9YAPQF+qiz49Zk4BJxdhy7GOcCewrORfkrEVmIsxpm14DXq+2YiT756ubePgNnSXlUdTKwp4byzFbVIlWtBBb6PEdHnA2PPK71PCfOKp7XBjzPdpw9EYypVUZDZ8CYaFPVMnc/jxuAr3FWbR0GHAscxvn1frKq7hGRl4Ec99Q3gVtx1s+fo6oH3CacKapaU5NMbceUuH8rqPrORbK5fYnPbd/nOOyTd4D/xtkMx9O30FFEuqiqp3M6xz3HmFpZzcGkqhk4QWAGTm3hf3B+dbfA2TVun4jk4Qz79CjE2TDopziBAmAWcLrbZIO7r0CvgNcK55hAXwJXu8efj7PcOMABoHmYZVwBeF5zKE7zVWdV7abOfiaP4/YzuEHuKGBDmM9tGjkLDiZVfYHT7DJTnR3TjgBfqOoinOakZcBLwFeeE1S1Amco6IXuX1R1B3A98IaILMYJBL19XyicY0L4PXC+27x1Ic7+yAdUdRdO89RSnw7p6nyIs2cJOE1I7wQ8/g7g2VJzMM6m9TVtN2mMl+3nYEwDEJFsoEJVy0XkVJy9sAdG+BxNgOk4+4dX1HLsU8AkVZ1W1zybxsX6HIxpGMcAE0QkDSjFacqKiKoeFpEHgU4422nWZKkFBhMJqzkYY4wJYn0OxhhjglhwMMYYE8SCgzHGmCAWHIwxxgSx4GCMMSbI/wPsPflFq5OClgAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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2J2PeDrhBolaahAQJixKpJD2t9KVwxRZnkKevytHLBS98G7N0/Oq97znukS8BeDLK8RHxunGJpLrpVaAX8JmITBKR+0SkV3ySY7wkus92PPmvt8kXIzhQ4CtJCIcD5vexGJFaAu9PbhvqLMSZd+gw4Nyhb9t3iPW78kvtC7HtKvvpgk3+v3fuLzs4hUpYSUJVp6vqI6o6BGclurXAXSLyvYi8KiK2Ol0VKK5Go5IrLMynfOLiLUxaEt/pOlTVMwgfdLuMiEChNVynvLoZaQzq0iJom6rS/4mJDP7D11WWjuIKBJ6v1hbGISXRNVyjqjtU9R1V/YWq9gaeB7rGJWUmSCqXJPzCBMAb3pjN9a/Pjutpn/x8KZ0f+Czs/ziwJFEY0MewJrwdNYnvo1dcHL7qqao9//VK/99eN4aLN+4NerwxL8HjJETkDhFpJI6XRWQu0EJVn4hLykyQohRuuE60175dA0BhmOmifQ3X+QVFQc9bm0Ri7M4v4PMfNpW/Y5R8vfuLVamVFvwlS8Q7PW/d7nL3mRjnErZPNCHzOlXdC4wAWgHXAr+PS6pMKUUp3HCdaL5/abi6ZV/DtaoGrTlgJQmnwfZ/8zdW6Tlve3sut7w1l017DsT0uP6ShCoZtby/Y6rK6m37Y3pun1enrg46T7SSYZyE7z93JvCaqs4nKZsaU5NvtK/9w2PPHyTClCR81U3pIV0ka3qbhKoyb+1u/u+deVV63nU7neBwqLCY4mLlP3PWh33folXojq4u1jDVTQFv9Qu5PzJ+0ebSr49BGh77dLHnc/vdRvSyxOsjGU2QmCMiX+IEiS9EpCEQk0owtwF8q4gsDNjWTEQmiMgK93fTWJyruqpIQ5aB8Qs3M7+coruvdBZudTJfSSI9Lc2qm4Blm/cxa83OhPXu8q/KBnw4bwN3fTCflwPuwCuiuFg5WOi8t2/feEKZJYk/frEs7Hbf5yRe+j0+Ma7HL0sk4yR8A+6uB0YD/VU1H2dKjmtjlI5/AmeEbBsNTFLVrsAk93GNVdImkXxliV37C/hu5fYKvz6e15ub/zWH854vux+7L0gcDjOh28GAcRKF1gWW0/86mUtenJawIBn46d/tjl/Ysvdg0D6Pf7qYFbsiv2j7LvD3j+zOSZ1blGr3i2T6jZ15kXVXLS5W3prxE2t35Jd54xf4jCBxD0JliaQkMV1E/guMAnb6JvlzezotiEUiVHUysDNk83mAb+W714HzY3Gu6iqZq5uueW0ml788g0OHK/dBTlTefOctK0gcLioOqm6qCQW7857/lrdnrA37XKLzrwENzCvdlQ1921+euponZhz0emkp+W6VYv06zv2wr1RRcszyj7G/wKkOWrhhDxt3e7eXfDhvA2M+WsjJf/yavwX0YAoV+P+NdI6oRI6T6Afc4T78q4jMEpG/iMgIEakTp3QBZKnqJjcNmyBu06VXC/7umUkYJZZs3gck1931G9PW8NOOyBoYfXeOhWFm/fTdwR0u1qAusDWhTWL+ut088NEPYZ9LWEnCfbMOFhazw717n7JiOws37HHTFby/qvLnL5f5A8nBMHfk+e4Fvn5GLQDaNqkXcoySv9M8vn++j87Zz03lpCe/8kz/3gMlYxmmllH6TqbPV0RzN6nqT8CLwIsikgEMwakeelxEtqnqWXFMY5lEZBROKYesrCxyc3MrdJy8vLwKv7YqLNjmfJAP5OfHLJ179+Xx3y++okmdyvULL3a/Id98M5k66dFHscWbnLxt3brVM2/R5LmgSHloQj6N65Skxff6cO9zUZFz/mnTZ7KuYfD/YvVaZ33hAwcPMW9ByQVz0+bNSf15CRTtZ/u7jYc5qmnJ/yHca7+ZPLnM5wFmbj5MdqM0WtUvOZaq8sHyQk5qk067htF/7vLznVHPV7w0lV2HSi6kX0ydxfasdAoCSnu5ubnsOaQ893U+b3/3I5ccVZsX5x/iicH1aNug5Nxr9zqBY/WKpeTuK313/8PC8IEyKK+zZ7N2Sdn/M4CVa0qCxO7duz3327mzpGJl8+bSDeXhHC4qistnMpoJ/gBQ1UIRmQdsV9V7RaRtzFPl2CIirVV1k4i0BrZ6pGcsMBagX79+mpOTU6GT5ebmMnDQEE5+6mu27jvEtYOyuWpgBzq1bBDxMT7/YRO3vDWXyfcMpX3z+hG/7vFPF/Py1NWsedI71hYv3QJzZpOZmUlOzime+y3csIfMOums2LKPU7u3Ir2W9xfxpr9/wRc/HeD7h06jSf3a7NpfwAu5K7n3jO5klPG6UGkTPgeKOWnwYBrWzYj4dT5752+E+fM4lN6Aa8bvoV+HpvzrhhOom1ELxo8DoKz39f3Z6+h9ZBO6ZTUE3LvFCeM5UCT4CuG+1+fm5pY6Vvo3X0JhIb379OWYtiUTtRUXK9eM/wyAfYWwtVZLYD0A0zYV8c4d3mlKJuHy7OVwUTHXjPk86G466LXu+zF48BCY8EXp5wNcM3ocDeqks/DR0/3b9uQXcu0XX/LdFpg2ehj1atcqMz0rt+bRpVUD3py2hgc/XkTzzNpAQVCAADiy01Fc858FdGyRGZTuLXsPwteTkPQMNklzYCP123Yj5/h2/v1mr9kJ301jQJ9enNytZVA+AXr0PAbmzgG8q9l6H388v/9sKZBf5v9k1dTVsNTpxdSkcRMGDTmBb5ZtY3iPrKBzNmnaFHbsAGDy+vJ7NgGkpdWK+H2ORjSD6XLdwXTNgPnAayLytKpuiHmqHJ8AV7t/Xw18HKfz+L03ax1b9zl3jq99u4ZrXotugZ+Pv3f6jC/aGN3qcZH0zoi0h93Zz01l6J9yGfXmHF7I/bHMfedude6gduc7dzdPfLaEf0xZzecLI7tz2Z53iP5PTPT3Coq2nnrVtjy25x3yP57vrro3+6ddvPTNKmas2hG0/7qd+WGL4ff+ewEj/lJyZ1vRqpDQ14WOm/hgzvoKHRectGePHseC9bsrfIyq4Gv72hBQr754414OFhYFNRCX9z/2vU95IV03xb3i7M4v5OiHxnPzm3N4a8ZP/ufzCw77G3Q/+2ETw5/+hi8WbeZf0522kR0e8xmtdqsWV28PrmL0VdNuzyuglltVFfpd8rVJZNYJH7Ai6d56uEiZ/dMuz+cXb9zL1a/ODO78gPK3r1Zywxuz+XRB8HiTJFnvCIiuJNFYVfeKyA044yQeFpGYNFyLyDtADtBCRNYDDwNP4qxfcT3OfFGXxOJcZQmdliHa/te+L1hRHOoT/b2bonjNzNVOkXXxxr20aFibVg3rBj0f2J0w8ByFES5xNWnJFrbtK7nIl9dNV1XZsPsA7Zo6paxT//yN574HCov42djp/sfZo527rN9dcCwPfPQD/3dqF+4acVRQ0MgePY65D57mDzwFAfmYu3YXfdqH70XtO0bo++81Z1TPNo080+3lq6VOQfidmetYsSWPC45vS5pXBbfLl57QEcCROFhYxE1vzmHMWUcDMHn5Nt6esZaebRrRu30ThnRtWeY5A5357BTaN6vPCR2b+beFa+QP5DXpXehg0PGLNjN+0WYuH9Ce/IIiej78BbfkdOa+M7qzZJMz7cRNb84p81zOcT3SEZDOD+c597OBAe5wUTG/eHUmAPUywl8On/+67JstKB28ducXsDu/kGy3ZHP/Rz8wf91uGtcrKWnPWrOLNm6J7ZdvB483qciCRskwTiLdrfa5FPg0lolQ1Z+ramtVzVDVdqr6itt7apiqdnV/h/Z+irnQ//HGPQd5avxSBv/BuyEq0ITFzkUlHvMsVWRajr0HnRLCmc9OYdifSl+QfYca+qdcrnplRklX0DC3MT9uy2Pj7gP+O7XZa3aWKnGUFxxfmbqawX/4mmVuQ3dZvBrufA2pz321kuzR4/wXX591O/ODShU+F77wHeBcIEY+M4X7P1xAcbFSXFwyud/anflBPVNueWtu2DQ0qpsR1CVx5dY87v9wAaf88WvenRm+N5DvDvKdmWu564P5fDRvA+/PWkf26HGl7rZ9Oj/wGZ0f+Izs0eN4YlzwQKut+w5yoKCIqSu2kz16HJv2HOBwUTGfzN/I5f+Yzt0fzOeb5dsY8ZfJHCpSfvHqTMYv2syfJyznqldmMu3HHaXOp6rkHQyflrU784NKUsf/dkLY/XwKQm405q/bTfbocSzdtDfs/k9PWO5vVH5n5lq27j3IjNWRf+XDrWpYVKwUFJVuqN65v4A73/ueXfsLgj4r9T2qvpZ4pDnQrSGflRF/mUzOn3L9j9NCbsh8fLUPoSpyCYlXU3c0JYnHcFanm6qqs0SkE7AiPslKHuVV2YQTeKeycMMeOrbIJLNO1M0/QQIvwEf95nOa1M9gxgPDy3xN4JiKfeWM2JyyoqSnxX3/+YEOzTPpn92MWmnCyq37GP50yZdpzZNncfGL00odo9/jExGB5Y+PJKNWGnsOFNLr0S+587RuTFqyxV+dlLtsK7e+Vfbd4UuTV5X5vE/o5H9ljYnYuPsAewuUJZv2smTTXv4zd0PQxeyOd78HYP7DI/j9Z0s8j9OoXjrTVu1nz4FCGtfL4La35rJsixP4Rn/4A5cNaF/qNaE3Djv3F/Bv96K7bmc+u/YXcHTrRjTNdFYEHjs5+HP3jymr+eXQrjz1xVIu7Xck5z3/LX07NOWIRk7p8O0Za+nToSm3hxkBvTW/9OXj5/+Yzponz2LZ5n3s3F9A16wGjJ28irER/t8DzVu7iwte+I4p9w7lyGb16fvbCUFrMHQdUzJ54qSlYZsWee6rlfzzuzWAUxU14HeTokrD7J9KB5RHPlkUdrrtZyau4EBhEdNW7WDTnpIqtCb1o29P87I1oIQNJTdkkfZamhlFgPRJ+Mp0qvoB8EHA41XARfFIVKK8MW1Nmc8fLCzipx35HHVEw4iOd7CwiLOfm8qQri148/oTKpW2wKqcQ4eL2bL3UBl7O4Z1L7vXcFmFksvGTvenO/CLBGVXw6k6d1Ff353jn3//6QnLg/b5fZSLqcTKrvwCVuwqSXvo3a5Pr0e/LPM4vkb9uz+Yz+iR3f0BIlRRsXLC7yZy/8ijS5WyilSp69657j1QyOUvzwDg6Ut78dq3a/hhQ+l2rV6POel6yx27MOenXZx57BGAc5H18uC34fvt+6rwKusCt5Q25KnwU2kHji/5exk3Xfs8SjGRmL6q9EX1zek/hdmzpFtz6Oe6UQU6XZRn1bY8Wjeux5JNzmckcL2IWEt4SUJEng2zeQ8wW1Xj3qgcb+v2FfPTjrInDbvj3Xl8sWgLix49vVTJIPAi7rse+H6HKzYXHC4mPU3KrZf2KWmTiLy+qWHdst/ezWHuMANNWbGdg4VFPP5p8F11lzGfl/m61dv3889vV1eoLj2eznp2akyO4/uiT1i8xV/FGCh79DjOPPYICouU7XkFjPnvD9ya0yVon8BVx3wNpwB3vj8/qrR89kNknQxM+SL9LkajrHa3WEuGCf7qAr1xqphWAMcBzYDrReSvMU9ZFfO62wrku1spOFzMht0HggbmdHrgM//focW+cL0juv3mc+76IPILQrj6/uVb9pE9ehzfLN/GZx7TJ3/8feU6n707c63nnXJZHvnfYv8db0302Q+b/QGkuLjs1cuu/Wd0veiMCSeRy5f6dAFOVdXnVPU5YDhwNHABzvTh1da6nflRv2bQk1+V6pEQ6qB/mmnncWFRcVDd9EfzIr+Ah2u4fu1bp+vs1a/OLNVwBk6XXl89O7j9wV2fRDjF88Ql4euQI7E0ggbq6uiu07pFtX9BUTHPTkr55rtqrfeRTRKdhKQVTZBoC2QGPM4E2qhqEVB+BXkSC+1b7cXX6OSry5y4ZAvPTVpRqnHM14iWuzz4Att1zOdc6dY9e1m5NS/s3C/heky9M3Nd0OPQLqihF+lnAi5U4Ro4wylr6oCaKpYNnMnmsfN6JjoJCfGfW05KdBIqLV5TeUQTJJ4CvheR10Tkn8A84E8ikgkkbh7bGIjkX5s9ehx73Ya1M5+d4t/+5wnLufwf04P2Db14B5q2agdH/SZ8nf7Xy7Yy/OlvguZ+yS84zKQlW5jjDtQp6+68vAXZp6zYTvcHP69Qyakme/bnxwc9TvTkdvH0ixOzq/R87ZtFPjNBPFWm/WzmA8NimJKKS2ibhIikAUuAk4D/uj+DVfVlVd2vqvfEKX3VQrgLd/bocWzeE76AdcijV821YUZ493joC65/fXZEVVPhxjeEOlhY7NkLxYR3bq82QY+ry1oSr183gI9vG1TmPh0Cpo956aq+ER039+4cAH/Pqsr44OYT+f2Fx1b49dkRTn9TL6Ps6T8q6vZhXWnVqG75O1aBhA6mU9Vi4M+quklVP1bV/6pq1a5bWA19v857mH48VKYLoSlbiwbO+IW7TusWt5LEgI7NuGNY16BtCx4ZwfOX9yEzYKDXX3/Wu8zj/PvmE/nfLwdzSreWtGwYPFFz6PxgvqkqLuzTltN7Ohf9GwZ35JyQwBgou0UmCx89nUfOKV01VTs9jRnunfWdAW03q39/Jhf3bVdq/8MBgxkrwmsUfaD5D49g2v2nVvgcZfn5gCPjctyKiNdMHtFUN30pIhdJMq56k6QqE9lVNWjN20icEOUAJFM+3534BzefxMPn9OD/hnWNS93vw+f04J0bB/LrgAtr/+ymNKqbwVnHtWbRYyVrcp1/vPecmlcObE+/7GYc286ZqLBNk3p0bOT9NW/TpB4LHhnBHy/u5d/2m7N7cGtO5zLT26BOOoVhLu7PX96HrEZ1+fF3Z/J/p3bh8fOP4cNbT0JEeOqi43j+8j7+fW8f1pU2jetWOEg0rpfBg2f3YGCnZvRy89shTMmicb2MqMdA/LecElg0/njxcTE7VlmSYVqOO3EG0xWIyF4R2Sci5Y9Xrwbi1eDzZZg+9KG85uvveP9nZa55a6I35kxnHqOBnZrRuaXTB+O35/Xkl0O7eL6ml9vrpWOLTK4d1BGIrLrp3F5t+FeYAZTfjT6VqfcNLbV9SNcW/nrxL399Mqd0axnRAMy5D57Gcz8/nntOPwog7Cy8D59Uj39dfwKT7nJmD/7TJb38eb5+cEca1c0oVSdf3hgbgDaN63LtoGwm/Ppk/+ypvqU/a6UJIsKVAzv47/bT0oTa6c4lZ/jRrbjztG6IiH/G2bOPa+0/dqeWgX1kwmtcL4OmmbV5d9SJ3DnCyf87Nw4Mu2/gGIi+HcovfVS2t9Pwo0sGso7oWflquUSKZsR1ZMOMq6Hvy1kDORa8Rrd6rfxlYue+M7pz45COpNdKo0vRT+TkOBeS1dv306llA4qLtcxVwkKNPKY1f/5yOW9cN4Bd+YWs2p7HU+OXMfzoLCYu2cLPB7Tnt+f1JL1WGjcM7hg0y69vQrcxZx7NE58tIT1N3CqXkuN3y2rI69cNKHXeGwZ39E8k9+SFx/LRvA00y6zNOb3a8NI3zkhmr9Hwg7u28P/tq/a52w0s4bRrWp8Pbj6RY9o05uiHxgNw7xlHcWzAVOoiwsNuldPFfdsxefk2uh8R2eSHgXF2eI8s3r/pRPpnN2VI1xYsWL+H5pm1eTZkFPkzl/UO6tIduBb1Kd1a+qvSfj28G89OWs7IY1sz/Ogs/z7HtG3Ewg17efHKvsxft5sb3nCmdAm8oEfLa3Dr0a0bMXHJVppn1qZxvQzevH4AV70ys8LniUTCB9OJ40oRedB9fKSIlP4kV0M7Ilyf1lTeMW3Lvoj4Gk9FYPZvyp6byse/BoCHW3I6+9fVEBH/j2+tkHAjbR85pwcvXhm+IffIZvVZ9vhITujUnDOOOYJbc7qw5smz/CXSYQHreFw5sEPYY9wwpCMLHhnh700UODuol9+c3YO/uO0Rlw1oz3s3neh/zreWRtdWsbuX65/dLGi9h1tzunjOHnturzasefIsjmhcdiOufw6jkO0DOjZDRPhZ//Y8ccGxpdZBuXtEN87rHVzN5rXmyR3Du/LK6Zn87fI+QVVzb10/kFeu7kfLhnUY3iOLKfcOZcYDw3j+ij5hjxMJX+X785f34eoTS95r32SZV7jv/5CuLfludHC7yBkBJYxfDu1SanbhZu48XpFKhuqmF4ATgcvdx3nA8zFPUQIk2/QRyWZgp2Zht783aiBPRVnfWie95KLz5a9Ppl3T4KUiTw2Yb6pFg5JG18n3DOXXw7sx84FhzH3wtKA77Vev7sf0+4cxqEvzqNISKPQLes2gjpxxTHTVBL7vaFrAtyq7RSbf3JNTal8RoVHdDB44szu5d+eUe3Etz9DurRh3+2Au6Ve6cTiZRNqiGfqVDNcU2j87/OfSS+P6GQwLKFkc2aw+WY3qBn0mw3nqIu/PeF2319RZx7XmvpHd/dt91Wq1AtIdmoVL+rXjFrft5+aczqWCXrSXpat6RBdUIhVNkDhBVW8DDgKo6i4gPqmqYqFz3Nckj53Xk9blXKB6tC6pYmgQMGfVCZ2ac2m/kt4d5/f27hHjE9gg2i2rob+e3Mf3pTo55I61cf0M7hjudDdsllmbUwJKD7XShCMa1yWrEl0Rx90+hKn3DeWru06p8MCqc3o5deqhd/Mdmmdy1cAOjA3TxTS9Vpp/zYHK6tmmcdiLaTIqrx3wrOOcz5Kvh1RgNZfPg2f3iH3Cwri0f3APpjpuAPjDRccGlQADq56uG9SRawdlc+PJHf3bQtvnh3RtyT0jjmLxY6cHfa8q6riWlT9GONEctVBEauHeMIlIS+LX66pKRbFSZ0q5/fg6/OLE7KAZRG8c0pF/TPHuVdW5ZSbPX9EnbOnrr5cdzyPn9mTF1jwuCZhK/KaTO/mn/g68k4PgOy1wqn6+uusUWjcOLmGEq465bWhnnv/6R/+F8cGzevDh3JLxJB/fNiiqUqJvMaSKuuD4dpzbq23Yc/72/GMqdexEeuGKPjGryghd6MpLxxaZ/jaGC/u0Dfve+O7Wq1rnlg1YvGkvPdsEB67Aj3K92rX87TU+oYHRl/76tUtfhv948XH8YfyyGKW4cqL5Lz8LfAS0EpEngKnA7+KSqip245BOiU5CQmS4735gT457Tu8e1Jf+tWv6c+2gbP/jtDShXdP6pS7ivvrYJvVr0z+7mf/xf245kfvdXkXhhFuDu1PLBuWufRwurU0zazMkoIG215FNgtasrgqpWHV55rGtOSug51Fl+O62owk6lQ3eVaW8Qpwvzy0b1gm7nn3gv6R5g+SppImmd9NbIjIHGIbT/nS+qnqvzFKNNIigu18q8vUOeeay3vy4db+/b32goW4bwawxw+n/xMSg6iWfcB/4R887hkfPi+zuuU/7JsxduzuKlJvqqn9Hp/vx3SO8e1ZVV+VN49+yYR1q10rzriYLiJzJVG0Y1dVRVZcCiVkxJo5S8e4vEr6SRP3a6aUCxOLHTg+62/O6+4lU3w5NGdQ5fMNyMn0hTHw1qJPOpLtyKn2c1b8/s/KJqSCvj2t5H+O6GbVY/sTIiM5RSySqpYo/v2MIW5aFX263smpobXyw8no3VAfzH/KerX3yPaUHbwGUVaVbv3Z6pZdcDfSfW07yD3jKvTuH167t738uliEi3NQPJnX897ZBjL2qb5XcWPRs04hHzw1uVyhrGo7KpiiwuinaG9ejW0c2PqUiamY9SwpqHDB99WvX9mfBuj38ZeJybhzSkfYhUxV0bpnJj9v2J6xXV3aLzJj16AnVqYUz9iHSid9M9VKV6z6Mu31IqW2B35nQdpVYBq5kKlxbSaIaGdEjq/ydgKFHtSIj3fmU+QaK/Xp4yZxAtd2SU2UmVouH38ZgLQNfg3eXVg0qfSxjQrVrWt/zAh7LWutk6pZfbpAQkZ0i8rKIDEvlyf3qVnGN0/CjI7vgBwpd16AsVw7swFnHtebmk51xCUO6Ob1+3rlxIA+d3YPs5vVp3SC57hG6x6DI3KVVA579+fH8+dLelU+QMSFGnezdE7Kyl8fAkkmaSNxGUEcrkqvENuB74DFgvYg8IyLhZ9EyEXvBYyqAskYN1w2YE3/c7YPDjuT1aVQ3g+cv70NTd2h/n/ZNWfPkWZzYuTkndm5O7j1DqVMr+WP+zDHDPNtUvJzbq01E01wYE61I2go6RzA5YfnnSZ51SyIJEvtV9W+qOghnWo4NwAsiskpEUmKcBMS3DjB0Zso66WmlBgI9fWkvbh/WlS4tS6pJJt8z1LN/es82jenQPJO3bjiB/9xyYth9UkGrhnVLtakYk6zevvGEoDm1oqEBTddpIklTHRxJkPBfPlV1rao+pap9gJFU87WtI9E/u/xphcvjVT+e1ahkbqIL+7TjzpAFbdo3r88fLjqOi/q0Y/7D4XsvDerSgr4dopvDJtkkx1fBGG9tm9RjQARzRZ3UuUXQnGPRePLCkjmishrVTZqSRCS9m8Kudamqy4BHY5ucxPEqSDx8Tk/mr9/NmI8Wxvycf7m0N5e/PCNoW/fWwfP+NKiTzp8vLVkQZup9Q8ts1ApdarM6eOKCY3hi3BKOCzOYz5hk8G3IDK4QfOcfC4E3k22a1KO4upQkVPXOqkhIonn3WBCuOCH8dM9lqZ2e5l+4JfTYZc1fc1Efp5//A2d2D/Os07vCtyZBqDVPnhVV43ay6H5EI968/oSUGK9iUl95I6tjpVE57WqxaPuIRKW6t4jIQ7FKSLJKr0Dj7uPnH8OCh0cETf0bbm74cKXJuhm1WPPkWYw6uezlI40xqcV38+hrG/fNDBvJ7MrxVNk+kDfEJBUeROQMEVkmIitFZHRcz+Wx3feGHd++CU9eeGy5x+mf3ZQrB3YI6okEBC2ReeYxTmO0r7jqtV6DMabm8XWl9d1D3lrG8rpVodw2iTLWsRYgfL1HDLjTkj8PnAasB2aJyCeqWqULP/vq/z+61VkYffSHzprU9TJqUTcjjStO6MD0VTvYe7CQ5VvywhZFBbhucEeuG9yRbfsO0cQdHe0rSXitsGWMqTl8147QK4jXDWxVtVhE0nC9G+ivqltCnxCRdTFPUYkBwEpVXeWe613gPCAuQeJXfevy+PSD/se+dRVaNgzfU2HBI05vI98FfsaqHfxs7PSgfU7p1pKP5m0IKlUEHi85mqWMMRURr85H4dpHX7yyLy0a1ObigHVaquoCEkmQeAPoAJQKEsDbsU1OkLZAYBBaD5wQupOIjAJGAWRlZZGbm1uhkx2RfoDAmD0ocyuDzshkzvRvg/b7RY/aHJGZxrdTJgdtX7qzCIDde3b703BmS+XEk+sxa9rUsOdcsO0wALt27apwuisjLy8vIedNJMtzzRDPPO/bdwCAOXPnsOvH2HW28I2L6N40jdzcXPL35wMwc9Ys2jZII2978P75+fn+v3Nzc+OW53KDhKr+pozn7ottcoKEK2WVip2qOhYYC9CvXz/Nycmp0Mlyc3NpVPcQew8e5qmLjiOnf/jZHr2OXnfVDpg5nSZNmpCTE9lgmqP3HuTpOZO49fRe5Bwbm0VdopGbm0tF/1/VleW5Zohnnhv+MBX27qFvn770ivGEgxOPyaNtk3rUq12LenNyYf9+BvTvT9cst2v8+HH+fetn1of8/QDk5OTELc8VmgVWRB5R1UdinJZQ64HAK3U7YGM8T+gbsFaROViymzvd0aIZp5DVqG6l1mgwxlS9eM7OEG7gref5kqi6KZxzgUdimI5wZgFdRaQjzlQglwGXx/OElZmg64jGdVnxxEjSa+gCRsaYqhXagzJeKtqtJu5XQlU9DPwS+AJYAryvqovifd7KyKiVZqusGVNDxPtGPmAx07DPt23qdC790yW9wj4fKxUtSfSNaSo8qOpnwGdVcS5jjKmOfDM7xEtERxeR04HzcXocKbBRRD5W1fFxTJsxxtRcERZV4j0PYCSD6f4KdMPpCrve3dwOuF1ERqrqHfFLnjHGJJeqrlD2qsGuqnREUpI4U1W7hW4UkfeA5YAFCWOMSVGRNFwfFJEBYbb3Bw6G2W6MMSZFRFKSuAb4u4g0pKS66Uhgr/ucMcbUOBrnxoBkmbYnkhHXc4ETROQInIZrAdar6uZ4J84YY5JOFXVz9wWhwLN9/9Bp9H5sQpWc3yfivlNuUAgKDCLSXVWXxjxVxhhjgOBBvk3ql16XJt4qO0f1lzFJhTHGVBPZzesDJYsCJV58K6Yi6QL7rNdTQJOYpsYYY5Lc7y88lnN7tSmZdC/FRRIKrwXuAg6Fee7nsU2OMcYkt/q10xl2dFbczxN5+SC+bSSRBIlZwEJV/S70CRF5JOYpMsYY41d+CEhwdRNwMR7jIVS1Y2yTY4wxJhJVNZdoJF1gd1ZFQowxxiSfcns3icj/ROQcEckI81wnEXlMRK6LT/KMMaZminSsXsIn+ANuBO4E/ioiO4FtQF0gG/gR+Juqfhy3FBpjTA2kbltDopeoiaS6aTNwL3CviGQDrYEDwHJVzS/rtcYYYypHymm6jncQiWo0iKquAdbEJSXGGGOiFu/qpsqOuDbGGJMA5ZUwYsWChDHGJKF4lxAiFXGQEJFWYbYdFdvkGGOMAejgzhFVJyOx9/LRnH2KiFzqeyAidwEfxT5Jxhhjnr+8Dy9d1ZesRnUTmo5oGq5zgLEicgmQBSwBwq1YZ4wxppKa1K/N6T2PSHQyIi9JqOomYDxwIs4YiTdUNS9O6TLGGBOBeDddRFySEJEJwCbgGKAd8KqITFbVu+OVOGOMMeFV1SC7aNoknlfVX6jqblVdCJwE7IlTuowxxpShqno/RbN86X9DHh8GfhvrBBljjIlcvAsU0VQ37aOk+qs2kAHkqWrjeCTMGGNM+ZKmTUJVg9bqE5Hzsd5NxhiTEMnYJhHErX46tTInF5FLRGSRiBSLSL+Q5+4XkZUiskxETq/MeYwxxlRMNNVNFwY8TAP6UfmSzkLgQuClkHP1AC4DegJtgIki0k1Viyp5PmOMSSnJsJ6EzzkBfx/GmQ32vMqcXFWXAEjpctN5wLuqeghYLSIrcaq2plXmfMYYY6ITTZvEtfFMSIi2wPSAx+vdbcYYYwIkfD0JEXmOMqqVVPX2cl4/EQg3tnxMGSvahct22DSIyChgFEBWVha5ubllJcdTXl5ehV9bXVmeawbLc2ratm0bAAsXLaL+jmVxy3MkJYnZlTmBqg6vwMvWA0cGPG4HbPQ4/lhgLEC/fv00JyenAqeD3NxcKvra6sryXDNYnlPM+HEAtGrVErZspmePnuQc1zpueY4kSAxX1atE5A5VfSbmKQjvE+BtEXkap+G6KzCzis5tjDHGFUkX2L4i0gG4TkSaikizwJ/KnFxELhCR9TiTBo4TkS8AVHUR8D6wGGdSwdusZ5MxxlS9SEoSL+JcqDsBcwhuL1B3e4Wo6kd4rEmhqk8AT1T02MYYYyqv3JKEqj6rqkcDr6pqJ1XtGPBT4QBhjDEm+UWznsQt8UyIMcaY6GmcZ29K7OKpxhhjKkTiPv+rw4KEMcZUQ/EuQfhYkDDGmGos3iUKCxLGGFONWZuEMcaYUqxNwhhjTMJZkDDGmGos3utJWJAwxhjjyYKEMcZUY/FeT8KChDHGVGNW3WSMMaa0quncZEHCGGOMNwsSxhhTDfVt3xSADs3rx/U8kawnYYwxJslcOyibU7u3IrtFZlzPYyUJY4yphkQk7gECLEgYY4wpgwUJY4wxnixIGGOM8WRBwhhjjCcLEsYYYzxZkDDGGOPJgoQxxhhPFiSMMcZ4siBhjDHGkwUJY4wxnixIGGOM8WRBwhhjjKeEBgkR+aOILBWRBSLykYg0CXjufhFZKSLLROT0BCbTGGNqrESXJCYAx6jqccBy4H4AEekBXAb0BM4AXhCRWglLpTHG1FAJDRKq+qWqHnYfTgfauX+fB7yrqodUdTWwEhiQiDQaY0xNlkyLDl0HvOf+3RYnaPisd7eVIiKjgFEAWVlZ5ObmVujkeXl5FX5tdWV5rhksz6kpNH/xynPcg4SITASOCPPUGFX92N1nDHAYeMv3sjD7a7jjq+pYYCxAv379NCcnp0LpzM3NpaKvra4szzWD5TnFjB8HUCp/8cpz3IOEqg4v63kRuRo4Gximqr5AsB44MmC3dsDG+KTQGGOqjzeuG8C8tbur7HwJrW4SkTOA+4BTVDU/4KlPgLdF5GmgDdAVmJmAJBpjTFI5uVtLTu7WssrOl+g2ib8BdYAJIgIwXVVvVtVFIvI+sBinGuo2VS1KYDqNMaZGSmiQUNUuZTz3BPBEFSbHGGNMiESPkzDGGJPELEgYY4zxZEHCGGOMJwsSxhhjPFmQMMYY48mChDHGGE9SMsi5+hORbcBPFXx5C2B7DJNTHVieawbLc81QmTx3UNWwI/RSKkhUhojMVtV+iU5HVbI81wyW55ohXnm26iZjjDGeLEgYY4zxZEGixNhEJyABLM81g+W5ZohLnq1NwhhjjCcrSRhjjPFkQcIYY4ynlA8SIlJLROaJyKfu42YiMkFEVri/mwbse7+IrBSRZSJyesD2viLyg/vcs+IufpGMRGSNm9bvRWS2uy3V89xERP4tIktFZImInJjKeRaRo9z31/ezV0R+lcp5BhCRX4vIIhFZKCLviEjdGpDnO9z8LhKRX7nbqjbPqprSP8CdwNvAp+7jp4DR7t+jgT+4f/cA5uMsgtQR+BGo5T43EzgRZ+3tz4GRic5XGfldA7QI2ZbqeX4duMH9uzbQJNXzHJD3WsBmoEMq5xloC6wG6rmP3weuSfE8HwMsBOrjrP0zEWeVzirNc0qXJESkHXAW8HLA5vNwLiq4v88P2P6uqh5S1dXASmCAiLQGGqnqNHX+228EvKa6SNk8i0gj4GTgFQBVLVDV3aRwnkMMA35U1Z9I/TynA/VEJB3nwrmR1M7z0Tirdear6mHgG+ACqjjPKR0kgL8C9wLFAduyVHUTgPu7lbu9LbAuYL/17ra27t+h25OVAl+KyBwRGeVuS+U8dwK2Aa+51Yovi0gmqZ3nQJcB77h/p2yeVXUD8CdgLbAJ2KOqX5LCecYpRZwsIs1FpD5wJnAkVZznlA0SInI2sFVV50T6kjDbtIztyWqQqvYBRgK3icjJZeybCnlOB/oAf1fV44H9OEVwL6mQZwBEpDZwLvBBebuG2Vat8uzWu5+HU43SBsgUkSvLekmYbdUqz6q6BPgDMAEYj1OVdLiMl8QlzykbJIBBwLkisgZ4FzhVRP4FbHGLX7i/t7r7r8eJ0j7tcIqz692/Q7cnJVXd6P7eCnwEDCC187weWK+qM9zH/8YJGqmcZ5+RwFxV3eI+TuU8DwdWq+o2VS0EPgROIrXzjKq+oqp9VPVkYCewgirOc8oGCVW9X1XbqWo2TpH8K1W9EvgEuNrd7WrgY/fvT4DLRKSOiHTEaSCa6Rbn9onIQLdHwC8CXpNURCRTRBr6/gZG4BRZUzbPqroZWCciR7mbhgGLSeE8B/g5JVVNkNp5XgsMFJH6blqHAUtI7TwjIq3c3+2BC3He76rNc6Jb8KviB8ihpHdTc2ASTkSeBDQL2G8MTo+AZQS0/gP9cC62PwJ/wx2pnmw/OPXz892fRcCYVM+zm9bewGxgAfBfoGkNyHN9YAfQOGBbquf5UWCpm943cXrxpHqep+Dc9MwHhiXifbZpOYwxxnhK2eomY4wxlWdBwhhjjCcLEsYYYzxZkDDGGOPJgoQxxhhPFiSMSUEicpaILBCRMYlOi6neLEgYk5quxRmRPTTRCTHVmwUJYypJRHJFpF+Mj9lERG4NeJwj7pooHvv/W0Q6BWz6FGc6hnUh+00MXH/AmPJYkDAmOTUBbi1vJwAR6YmzbsCqgM0NcEbrNg7Z/c1Ij2sMWJAwKUxE7hWR292//yIiX7l/DxORf4nI30Vktrvq16PucyNF5P2AY+SIyP/cv0eIyDQRmSsiH4hIgzDnDLuPOCsGPupu/0FEurvbW4qzuthcEXlJRH4SkRbAk0BncVae+6N7+AZSsgLfW+48PABXUHouniuAW4DjQ0oOn+DM+WRMRCxImFQ2GRji/t0P5yKbAQzGucseo6r9gOOAU0TkOJxpmQe6EyQC/Ax4z71w/wYYrs5U7LNxVj30i2Cf7e72vwN3u9sexpl8sg/OrL3t3e2jcRYT6q2q97jbjgd+hbMCWSecmY5xf/unxBeRLkAdVV2EEzwu9j2nqruAOiLSPIL/nzEWJExKmwP0dWfGPQRMwwkWQ3CCxKUiMheYB/QEeqizAth44BxxVkA7C+dCOxDn4vytiHyPM/tmh5DzlbfPhwHpynb/HowzlT2qOh7YVUZ+ZqrqelUtBr4POEZrnIWXfK7wHRNn1tArQo6zFWdNBmPKlZ7oBBgTL6pa6K4nci3wHc4ssUOBzsABnLv5/qq6S0T+CdR1X/oecBvO/P2zVHWfW7UzQVXLqqopb59D7u8iSr57kS9IX/L60GMcCEg7wOU4i/L42h5ai8iRquprxK7rvsaYcllJwqS6yTjBYDJO6eFmnLvwRjir2O0RkSyc7qI+uTgLF92IEzAApgOD3Koc3HUNuoWcK5J9Qk0FLnX3H4EzzTnAPqBhhHlcAvjOeQJOtVY7Vc1WZz2VP+C2Q7jB7ghgTYTHNjWcBQmT6qbgVMdMU2cFt4PAFFWdj1PNtAh4FfjW9wJVLcLpQjrS/Y2qbgOuAd4RkQU4AaF74Iki2SeMR4ERbrXXSJz1m/ep6g6caquFAQ3XXsbhrJkCTtXSRyHPfwT4lvrsC0x3q9WMKZetJ2FMAolIHaBIVQ+LyIk4a3X3jvIY9YCvcdY3Lypn32eAT1R1UkXTbGoWa5MwJrHaA++LSBpQgFPFFRVVPSAiDwNtcZb5LMtCCxAmGlaSMMYY48naJIwxxniyIGGMMcaTBQljjDGeLEgYY4zxZEHCGGOMp/8HEvt0u6C7vp0AAAAASUVORK5CYII=\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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6/72H8kgfP5n35m+MQcqKeH5eVWVcSdb2/aSPn8zS7D3xToqpwhKpuumAqj6rqoNwpuXYBPxLRNaKSLnHSajqFlVd6L7ej7O4UWvgbOB197DXgbHlvVbkaYv1FYv7cvlWnp2ZxQOTV5R67OY9hwB4Zc66aCcrqHj+vLK272fSks2lH1gBpq/cDsBnS7fE5HrGxFM4QcL7XK2qv6jqo6raGxhFBa9tLSLpQC9gLtBCVbe4190CNK/Ia5WcDuf7J4s3xeqSIXkagw8HTOaVm1/AXz/+kV05Rb+ClDivzR3P9TeGPzGLG99ZFJNriS1va2Jk9podPPZl8FEHsfrzC2ecxMxgG1V1NXBvRSVEROoCHwI3q+q+cJs/RORa4FqAFi1akJmZWabr5+TkeD+7e7fzRP7BgmzOaLbbe8x7q4/QpXEK3ZsF/7HtzVVqpELNtIqrr1qxOR+A7du2+eVtzqY83v7xCBuzN3PVCTUA2JRT6OblgN+xqkpeIVRP9U+Xb57DFez4wkLnul9lzqZRzcj7QuQVKnfMOcQlXauH/NmGK338ZMYeU42xxwSfVqwseQ708zqn6u+XjRvJzNxernNVtIN5Sq008P3/qYg8VzbJkucrphwAoF+NrcX2fT/3e9bWLvp/i1aeS/2PVNVbKvyqAUSkGk6AeEtVP3I3bxORVqq6RURaAUH/G1X1BeAFgL59+2pGRkaZ0pCZmcnLP9fi7J6tadQoG3btAsD3fFdMmczn6+Ctq3vy+Y9buOesblRLLfolpY+fTLvGtZl1ewa/HjhC7/un8coVfTm1S4sypQlg7+JNsHQxvxyqximnnIKI8NHCbHL37AE20KpVSzIyetDrvqn0aNsQOETN2rX90v3czCwem7aaxXeNoGHtoptnZmam97hdObmMfmY2r43rT9dWzjpSn/+4hevfWsjCO0fAlGnFfh4eqdOnQEEBt3x9iHUPj2H/4Tz+OSOLP592LDXSUkvN4/qdB9g2NZMP16dy4/nFzx+WKZO9Lz/JyuPh3w2jVvXi1/bNc1mtSVkLq1fSpk1bMjKOK9e5KtLaHTmc+o+vefA3x3PJgPbe7RWR58omlnnefziPBz5byZ1nHlfx6zu4f9d+eXG39e8/gPSmdbybo5XncnWBFZG7ypsAt8fUy8BKVX3CZ9ck4HL39eXEYG3t2Wt2cuv7S1j8y55i+w7k5ntfX/LSXN6a+wuzftrBpj2HOPaOL1i9dT8Av/x6EIBVW/YB8OKs8rUPeIqUW/Ye5o3vNjD+w6Xc8t4S/vv9BqCoimn3wTwyV+/w+4yHp4vqjv2hawe//mkH2/bl8sKstd5tr37jpD1re04J6VMO5RV4r9v/wa844Z6pvDBrLS98XXSu79fuCtnY63noLUt11bhX55E+fnKx7T3um8rS7D386Z1FdJgwmStenVfiebbsPcTEeb+Edc14dWw4kJvPyKdmhWwwX7vDeeqcsTKxSjfJ7sXZ63h3/saYtAX6jkVKmC6wpbi6AtIwCLgMOFVEFrtfo4FHgBEisgYY4b6PiQNHCopt63b3l8W2qcK05Vs5kl/I23M3+O8sZ4+fnTm5fu0NAHdPWs7EH/x7LqWkFL9jrdt5gOdmZgUmpcSUrN/lBLfVW/fzyBerWLV1X9DjVJVt+w6zff9hAG5+d7Hf/u0+gegf037yvp6xyrlxPfXVmmLn9AS6kmLE3oN53Pb+EvYdzqPQZzzGTDcwBjqSX8gf/ruA/y3ZjCreABrK5a/MY/xHP7L7wJESj/MV6yaJxRv3sGrrfh7+PD4z4yzeuIexz33D4bzi/x/J5kh+IYMemcFXK7aVemws26Yen7o65tcttWwkIsHvFs69p1Z5E6Cqcwi9hMOw8p6/vO7933Je/WZ90H1XvzHf+7og4BfmmdqjrL/Hvg98BcBTF/Ys8bgUCV5CeOzL1dww9BigqBSkCgs2/MqWvYcZ3tW/CuyZ6c7Ne8WWfazYso9/f/0zQeIPew7mMeCh6QCsf2QMny4Or0eR51QzVm2n211TWH7fSAAKC5XBj870pi+UZ2eu4f0F2by/IJthXZpz1ckdyHbbjkKJZGzfr25wyE/gAYGLN+4BYNOekvMdLXdPWs6SjXtYuWUfvdrFdthSXkEhB3MLaFC7Wkyut23fYTbtOcTdk5Yz/Dj//5Wtew9z4sPTeW1cPzI6F/WnUYWrX/8BEeHF3/WNSro27DxYdL2oXKG4cEoSe4BOqlo/4KsekPR9AEMFiECBM1IscasESvpF/rLrIEvcf/zDeQWMeno2P6z/1e+Y/YdLHh/x5ve/0O/Br0o8ZvNe56m/UJVzn/+OP769iKte/wGAn7bt59KX5gb9XLD7Za/7p3lfR7R8ok/AOXCkgLs/XcYlL31PXmHROTbtOcSYZ2Z73/+8I8dbIvJtiJ2+ajsXvzSX2z9cWuIlA6uvXprtVH8VFmqQEoMnqJf+r+dJS6zHhbw916kO81RphhK1VMWxN9eN7yyix31T43Z9X55g7fl9+Ppq5XamhVH6KCvfqs5EGifxBtA+xL63KzAtlVqBz81u0S+7eeQLp0pg4YbdrNt5gKzt+5m+chvp4yezbqdTdzzksZmc/dw3vP7terrcOYWVW/Zx/r+/45ddRTeBOz9dXuY0nf7kLG9bCfj/UX2T5TTMn/bkLOZk7SzxPHd9uizo9uPumlJqGra6AWrhht1+21//bgPfZO3iv9/5V9Mt37yPrndOYd66Xxn2j6957MvV7D2U59dWEq4dAdV1D0xeyfaDhTw3M4te909j9NOz2bbPSV/RgEB44LMV3BJQjebLW30X43tmSpwn0fFkNwoTL5Tqi2XFe/dEUyINqA0tQUZcq+odqhq01U9V/1LxSaqcfJ+6t+0rujnlFypDH89k+BOzeNZ9Kh76eCafLS2qprl7kn8gOO/f31ZImlZv2+93gx/t85QO8NWG8GZuXeUTaHyFUzXz149/BOCH9buD7n9gcvElSQ7lFXDBf77zvr/+rQXhJLOYYDfx/EK8jf4rtuzjX+7vxNPOsX7nAV6as46PFhWNkVm+eW/QEe+b9xzilvcWc9PERd7qqmhKCxIl3vhuPQsCAnC072+V4v5ZTt7SYjgly2gnxvdaCVqSKEZE7qngdFR6vr+wHJ+eUL4W+fSa+l8Jo4O3l9ALKVJz1/0act+bK6N/Y5uxajsrt4Rq1gqPp9RTEXYfVr+f7+vfbWDPwSPscm/y/+dTgrjr02XszMllzDNzuOjF773bPf+oU1ds46OFm/h08WaGPDrT25gf6EBuPnsORv6znrFqG7N+KmpwD9ZGdNenyzn3ef+HimjdOzx/45XjKTv6PD/nZ2ZklXhctMSq+aysBdizKjQVScC3fvrW95eUevyGXSXXKyeTUU/PLv2gGHlsfvEbec/7itpZPO03AG98t8HbgcAT6NbuyOG5mT8XO0dObj7XvD6/2HaAjMcz/a4RTPr4ydz5iX+13pWvzed3rxQV4uNRzeOrqszN5Wvz3sN+vemg7EFy+ea9/Pe79cxb92vIbuWFhRryYWNnTq5ftZvn9zF56Zaw7jllVdYgYc8SgSL8/wlVhWMS195DeQx/4mt25gQv6S3J3kvWdv/fa2GhenufLdu0l9lrdnAoSBdrcKrBglVvbNt3mJzcfL+G+L0H8/hpm/+1dh0Inq5CVb8OEIfzCthXSoeIkpR1Ua6XZq+l+z1f8of/LvBWJ+bmF/DOvF+K3Yh9hfp5RVPO4aLagH9lhldSKC2IjnlmDnd+upwL/vMdw5/4OugxT01fQ/8Hp7Nlb/EebFe/Pt+vxsLz+oa3F/LBguyw0lgWZQ0SfSo0FXGWk5vPbV+X78m+6j1jVT1H8gtLLeIPf2KWX6+v//m0PZ3xzzlc9vI8xj73jd9nft5R9FT55txfUFWOveML77YBD01n5FOz/NbrGP3MbE57cpb3/Q/rf+UvHzrtP54xKd5zrjjCCfdM9abr3Oe/pfs9U1mwYTdP+oxlAcjefZDc/Iq7Kf+Yvdcb+B6YvJJ9h/OZsnwr89xq0FfmrGfCRz/ywYJsCgqVJ6b6z3i873AepzxWNDNQYaEyaclm8t3uhMs37w262NXuw4XMXlNUVTfXHcyZvTu8//MLXyhqE/NU2WZtz+GmiYvILwj+R1BSoAvXjFVOz6hg3doDuz7Haq60sIKEiJwuIs+LyCQR+RR4TkRGRjltMbM0ew87DpXvB/7xovhPBmiiy9MIX5pj7/iC9PGTmbJsKzdNXFxs/+pt+7nvf86svs/NzGLYP4qeKu/8ZBkdJnxerHtx9u5DflWUgTcMT1dqD9+Swxx3/q8j3hurU3V27vPf8vT0osGNR/ILOfnvM7nlXafqYsXmfdz+wRK+ydpJTm6+98n1zGfnlPozyC8oZPTTsznz2Tm8H+Ip91+ZWfx9itMLcPPeQ8xctZ1nZmRx96RlbN93mJFPzeLyV+b5tSG9OXcDN76ziGdmZLFu5wHGPDPHO7iwoFBZv/MA90xazl/nHOKyl52qumvemM+FLzhtSif/PehUdMXs8QlUnmq+W99fwqeLN7N00x7AGbT67c9FPQP3h2iLjMSyTc7vRpBii3ilBTRKJcwEfyLyFHAsTldYz2+7DXCjiIxS1Zuil7zYqJFmC/SZ0kXa//0Pb4bulfXKN+uoUS2F5zOLt2+Uxf7D/jeokU/N5okLevDPGVl4emfn5RdCjeKfVVVEim5Kk3/cQtrERd6Bku/Nd/7tq/vMU6aqPPT5Sk46pilDOzdHVVm5ZT/1aqZx+SvzuGxge1a47Tg/hahafXRK0ejhmat3eEfj5+QW8O4PG4NWyd7ldgl/Zvoa+qc3Bpyf5W2nd6ZrkC7Zvx44Uu5xCykC78z7hR837XU2uDfnrO05XPxi0RijksZUBVZDhmPCR/7jgFKkeJAIVfVZkcKZjWq0qh4buFFE3gV+Aip9kEiNdwd0UyVVVIAA/EoE4JQ0rn9robfXFsBVr//AwiDzks1b9yufLN7kdxMKNpL+iE+1zpfLt/Li7HW8OHsd6x8Zw6Qlm/1KTe/6TB8TzgOvb0mooLDQb0qXUC59uegGHaqbdO/7S+4wkFdQyP7DTu+zjs3qBj0mc/UOv2ldIn2AX7/zAMOfmBV036qt+ziQm0+f9o39tr/+3Xq/doYd+3OLlR4Xb9zNmc+WfRxVuMIJEodFpH+QsRL9gODN8JVMqvXpM0loV8DYjWABAvBWxUTi/s/8x7esDnjq9y0F/PLrwaDtBqGUZWqUUHN4BVNQqLw1dwOdW9Tzy/vqB0aSX6DUKWUm10gHdr5dwsSRI59yev6tf2SM3/bAhuhRTxcPMuUZaBuJcILEFcDzIlKPouqmtsA+d1+lZzHCmMj4PtX2e/CrEmcYnrZiG7e8t4TUlOL17MFEuzfTJ4s2eautfHW+w6muWnHf6eW+xrqdB+jQtA67cnJDBpUL/v1d0O3B7MyJ/pimUMJZT2IhMEBEWuIsKypAtqrGdpx8FKUGG6VkjAlLSQHCo6TBo4HmB4wgr2h/LmVMwXF3FZ/xOVJDH89k0Z0jSmyXmuczT1tBoSbsuIKwV8hwg4JfYBCRLqoan3mLK1Bgg5AxxpTX7oNHik2ZEsrRf/2cfumxnVk3XOVtsU2MaRlNpXPxgHZROe9tp3eOynmNidThvNLH1fgKNb9ZuPbmRqdPbKlBQkSeCfH1T6BhVFIVY1W5IPHEBT3ict2/jOwSlfMeHaKHSixcM7gDT1zQg8/+dDIr3fUyjmlelxb1g/Q7DVO9mv6F/ZuHd/K+/s9lRWNabx9pwTHRBE6oGW1PLYxOP6JwShLjgGXAgoCv+UD8WlMqUDLFiHUPj+bda08M+/ihnZvTvF4NLurXlhtPPSZq6frpgVG8Nq6f932DWtFZPCacXjR1a6Sx6v6isaBf35YBwJBjm0V8vfd+P9D7+m9jjuOc3m04vnUDalVPJfPWDD66/iQ6+KxDHA7f4wPbywZ0aELrhrV45JwTvOMEAE46umlE1/jxntO4oG+biD5jEtvOgxGs7xKBcILED8AyVX098AtIigmIkmVKjZ8fGo2IMKBjk6D7fUds/qZXa/4+uBaN6lRn3t+G88i53blqcEc6Ngt9Q2vTqOwLEVZPSyGjc3N+06t1sZvm9RlHAzC8aws+vG6g377RJ7Rk9u1DAWher/Qn8n7pjYNur5GWwtJ7TuO1kXVYdu/p1KyW6t3Xvkkd1j8yhlev6MfH159Ep+ZFpZH6NdN4++oBnHJsM646uUOx8/bv0JjvJwxjyd2nFduX3rQO9WtWK7XK4a4zjvN771saOrFDE5/tdRh4dBO+GX8qF/Vv57d0bfXUFE7v5r+Cmi/fAHjFSenUq1mNR8/rwS0jnCFQV/vk7Y9Do/ewYKLnSHRiRFhB4jxgcbAdqlr8v6YSitdykBUtWC+tvu2LGsMm3zjY+/rJC3vSoo7/r79BrWrM+HMGi+4cEfT8L1/eL+j2SDx5YU9m3prht61xneoAtG1cy29Q0ar7R/LP3/amZYOaDOzYhH/+tleJ51738GhaNqjJi7/ry6ldmvvta1KnOvVrllx6SU0RerVrxH+vGuDddteZ3TjpmKa8fmX/kFU6LRvULLFk5Jm7qNtR9Yvte/biXlx5cgfvvpb1a/InnxLdkxf25P6zuwFOMAtMr0eNain857K+TP2/IQDF8t+zbUMW3TmCPu0bcc2Qjt7tGZ2d4DHCXaLTCTYtQ+bFV7XUwFJOY644Kd37vle7hmGd56cHRnHjsE6lH2hKlBulnsPhdIENvSBBklixuXzrHURb+ya1yzy1+DvXnkinvzmTxXVuWS+szzSsXY0L+7bljB6tvPPfeD7/3YRTGfjwjKCfO6F1A3q2bcj0ldsoVGeGz2b1avDTtuDTIrduWItNew75LPDiv9/ztJ+K8E6QKrTrMo7mN71aeye685xnxHEtGHFcC9LHT/YeWz/ITXz27UODTsvcskFNftOrNR8v2uRXFVkjLZWfHhjFpS/N9eu+WBpPScLT9nV9xtH8K/Nn7ju7G2d0PwqAT24YREGhevP8n8v6sGrLfmpVT+WSAe3ZkXOEy070XyDS95mgiRtoj21Rj1X3j/SeZ8nGPcz6fj7XnXoMaakpfHjdSX7n6N6moXcg1/cThlEjLSXs3n7v/n4g5/zrW7/3AK99ux6AmmlFpbWbh3fif0s2c9PwY7nxnUV+56melkKd6qmYxBTO3E3/A14ApqhqXsC+jjgD6tar6itRSaHh8fN7cH6QgTcicOWgDrw8Z13Iz1ZLjbwDm4jw9/O6B93XqkEt1j08mt+++D3fr/2V/umNuW9sN45pVpc091r3jz3ee/y+w3nsDNGPftotQziSX8iHC8OfHPG93w9EVYtVqXlKI6EEC5BtG9embePaQY+/qF9bPl60iROP9r9O9bQU+qQ3iihIdG/TgAUbdtOotpPGFvVrFhthWy01BZ8aME7v1tL7RJ+SIt5qIb+0+PxuG9Yuyr9vVVqPtg3Z/XOa93dTkpYNanpfr39kDBt/PchTX62had3qNK9fk/s/W+F3vG/1n29VZuatGfxzRhb/N6KTd0K9Uce34ubhx7IxxPrcZRllbfx1bhSd6YXCOes1wGBglYj8ICKfi8gMEVkL/AdYYAEicm0bh1+/71tH/oJPj5bHzuvBnWccxxtX9vc2vla0f5xfvPeTiNClpVM9cu/Z3ejSsn7Im1D9mtVCzolTu3qa380tnAfY/h0aFwsQq+4fybfjTw35mbN6HMVfR3ct/eQ+BnRswvpHxtC6YfHf0+UD04Hw2kgAJozqymd/OplHz+vOoGOaMLZn64jSEko4N/7yaNu4Nv+4oAcTRndl3EnpxdqkalZL5atbTgHwax9Jb1qHf1zQgzaNigKwJ0gHPrRM+uMgAH7b379L9OPu391JRwdvXyuLd645kfP6FDXWf3HT4BKOjszdZzrtSvEcmButeUrDqW7aCtwO3C4i6UAr4BDwk6pWneXVKtis24bSYcLnYR3reyM9LUh9cbBeOR2b1mHtzgNlT6DL9+nS119Hd2X0Ca3o2qp4PXus+T45++raqj7n9m7N1YM7Bt0fK9XTUji+dQMA3ro6/J5n4Zhy82C27I3+FGopKcLs24eyYMNuuraqz4ot+2hat4b3Zx/uvTEtoB2je5uGgFMSXP/IGG8V4Xl92nhv6L7VhgCjjm/J+l0HWblln7cqNpy/9z7tG/mt79G1VX2eurAnivJ/7vToN556DP+cmUVaipAXYt2IXu0a+i1FDDBuUAfGDerA3kN59Lg3PsPH6lePToCKKPao6npV/U5VFydTgAhnsfOK0qFpHT687iS/pShfHVe8QfjkY/y7NL551QCmuY2S5/Qu/Un085sG8+M9To+bN67szzWDy9bHINTCJtXTUujfIXhPokhF6+f/xU2DoxIgGtZ22jd+f8rRFX7uSHVpWZ+hnZuXfmAFEBH6pjemTo20Yr3IQk2S2atdQ87scZT3feCaCOEI7NJ9w9Bj6NHGCbq1qzvPub7XCPT6lf358LqBVE9L4dbT/DsfjO3Vmt/0asOZPY6iV7uG3HJaZ7IeHM2ADsFLMHeM6Uq1EmaNLkvX7qGdI+96HUxgR4KKEva0HCa0sT2P4pMgUysH8841JxZ7Os84thnPXdybG95eCMCXNw+hc8t6fJO109uofnKnyPrB16yW6n3KG3JsszKNAYDYLbZemdSsllqsTaGqqpmWQq1qqdx15nFB9398/SC/92V5HhjQsQnHt67Psk37mPTHQRzfuoH3PBcPaMfeg0e4enDHYtOle5zi87fvabsK7Gnm23MucCJC3/dXD+7Itz/vCjvtY7q3YvLSLYDzgLguSGlncKdm/HrgCEuy94Z93liyhRQqQKhG3nCJCGO6t/K+99TfDjqmqV93RY+rTu5A3RppDDk2ssABMKxLc/5+7glhH+95yg+3O2NF+PelfZj+51Nidj1TdmmpKay8fyQX9gtvmpWGtavxu4HtSz8wgGeMpKfnlaeEWyM1hT+e2ilklWMwPz0wik9vGFTiMQU+0SxwDIynLerOM4IHxkfPLboftA/SMaKVz0PizFszGDconVfH9adn24alpr0k0aoQCTtIiEixMq2I2FwAOL1MgjXwlmb27UNLbHANpdtRDVh27+k0rxe8vaAkL1/RL+x/aCj6w4vWCOlgRh7fMq7Ta5joERHuO/t4FtwxnAV3DA/7c54bcy23q6z3QT9IDctDvzmBDvWdW1vvIA831dNSSm3096xX/e61J1I3YH2JE9yqrvQmtRnWpTkX9m3rt/+CfkXve7Zt6NfxJFCHpnUQERrXqV6sijlSrerEv7pptojcqarvAYjIn4GrgODhtAoRkWL18yvvG+ldTvGDPwzkPLcLq/qM7w7sfvn0RT35JmsniSjNVu8zFahJ3cjms3r6op5MX7nd+/Dg+T/yvS2+edUAqqU6Mw4cdWgtHU/oT5O6JXeNDsXTJTdYMLm4fzu6tqpP73aNGNY19Ch3cDqaDDqmKQdy870LHIV7Kx/QoTFz14XX1fq1cf0o3BydRYgiCRIZwAsicj7QAlgJ9I9GomKtIoppgcVdEbdXy1H16RtiqohAZ/dszdkV1D2yogzu1JQrTkr3Tp0RTZJUs2iZsnh1XD/yg/Qqali7Ouf6dF/1PGv5DvwLbLdr1yT4GJhweKpZPV1an76op3eyRRGhd7vwp/WuUyONOjXSIuqgcc3gDuQVaFhB4umLepLRuTmZW1aUemxZRLKexBYRmQJMAAqBCaoafChtkrrrjOO4z2dA0dUndyDdnYeoWb0aHNO8LlnbnR9Jigg/PTDKe+y5vdvw4cJsb2+MyiItNYV7zuoW72SYKiLcnlqeNoloFXA9bRKezlgV+fAmYQwIcoJfeEFlaJfo9m6LpE1iGjAAOB4YDTwpIo9HK2Hx8miIRujz+7QptgbCHWccx6U+UyX41ikG9vR76Jzjybw1I6Z1+8YkK+9UJ1EqfXpKM/EaHJcSwXVLm5OsvCKJw8+p6u9UdY+qLgNOAhKzz1Y5dG/TgGeCTCT32Pk9Su1B4fuAEDj/TY20VG+pwxhTPt526yjdw8f2ckoOrRqUfebjQE9e2JOMzs3Cmk05kVZUDjtIqOonAe/zVfX+Ck9RHHj+4BrXqU6XlvUrZHBXVV7IyJho8/yPhlN1Uxa/H9KRVfePLHVOsFC+vHmI3xQ6AL3aNeK1cf2LjToPJtTgxHgIu4JcRPZTdD+tDlQDclS1QTQS5l5zJPA0kAq8pKqPROta4PRaKI8bT+3E7gNHuG/s8VH74zXGFHU2idZ/mYhENPYiUOeW9cKedTmYSKqboi2Shmu/HIvIWKLYu0lEUoHngBFANvCDiExS1eg04ftoUsfpnnfFSenU8Jl3pzSN6lTnqYtKXvPAGFN+p3RuxuQft5TrRpzIUkT8ajQW3TmCXvdPK3ZckzKWdCJR5q42qvqJiIyvyMQE6A9kqepaABGZCJwNRC1IeB7+T+7UlJd+15dTOjcrNmvl85f0ZmdObolzxRhjouuCvm0ZeXzLqDfaRkMLdxDsmz6LWwUKbDBvVKc63ds0YKnP1B1vXT0gJoNOI6luOsfnbQrQl+iu/Nka2OjzPhund1Vguq4FrgVo0aIFmZmZEV9o3Tpnqe71GzaQmenMs5IGfLN9ZbFjawFtgcXz1kd8nUSTk5NTpp9XRcta5yxTkp29kczM7VG9VqLkOZYsz4llRBOl0fHVycv+kcxNRcFg/YYj3tfr1q1l9+Gi22tmZiZ/7KocPrY2N85w5lbNy17GqmxY5R4TrTxHUpI40+d1PrAe58k+WoJVyhULSqr6As6iSPTt21czMjIivtCS/DWQ9RPp7duTkVF1ZhrJzMykLD+vipaVuhZWr6RNm7ZkZER3AH+i5DmWLM+JZ1SQbT/kroK1PwPQ6eijnWWVf9kA4JeXG2dMLrYNopfnSNokxlX41UuWjfPQ7tEGCG+qVVMpWVu/MY4+7Rs5QSIBhLN86T8poVpJVW+s0BQV+QHoJCIdgE3ARcDFUboWEL2eEsYYE64/nHI0fdMbM2lJYjwTh1OSmB/1VAShqvki8kfgS5wusK+oanRmsDLGmARRt4bT9TaGa6GVKJwgMVxVLxORm1T16ainyIeqfg6Et8anMcYkoZb1I18SoCKFM+K6j4i0B64UkUYi0tj3K9oJNMkvUZ6YjEkknunQrx8a32VywylJ/BuYAnQEFuBfda/u9kpNo9qT14TL2oSMSTylliRU9RlV7YrTJtBRVTv4fFX6AAHQ3p13vl0Tm4DPGJMYEmV9lUi6wF4XzYTE09ierdm+bjXn9k6sBX+MMVVXotRw2JqUOJN5dW6capPyGWPiLrCNLt53JQsSxhiTADxr0CTas2rlWkvTJKVEKVYbE0/XDunIzpwjjBvUAUicXn8WJIwxJgHUq1mNh885ofiOOBctrLrJGGNMSBYkjDEmASVIbZMFCWOMSWTxbse2IGESRqL16jAmnhKl4dqChDHGJLB4PzxZkDDGmAQW7xKFdYE1xphK5JMbBrFyy76YXc+ChDHGJLDA6qaebRvSs23DmF3fqptM3MW7OG2MCc2ChDHGJKTEeHqyIGGMMQks3utKWJAwCcOmajemSKJUw1rDtYm7S05sz+qt+7k+I75r+RqTiOL97GRBwsRd3RppPHFhz3gnwxgThFU3GWNMAkqU6iYLEsYYk8Di3VJnQcIYYxJYvAsUFiSMMcaEZEHCGGMSmFU3GWOMKUbjXtHksCBhjDEJLN7jJCxIGGOMCcmChDHGJCAbJ2GMMaZUVXqCPxF5TERWichSEflYRBr67JsgIlkislpETo9jMo0xpsqKd0liGnC8qnYHfgImAIjIccBFQDdgJPAvEUmNWyqNMSbGEqS2Kb5BQlWnqmq++/Z7oI37+mxgoqrmquo6IAvoH480GmNMXNkssF5XAu+6r1vjBA2PbHdbMSJyLXAtQIsWLcjMzCzTxXNycsr82crK8lw1WJ4rp61bcwFYvWoVmTk/l3p8tPIc9SAhIl8BLYPs+puqfuoe8zcgH3jL87EgxwctfanqC8ALAH379tWMjIwypTMzM5OyfraysjxXDZbnyqlbn1we+nwlt51zAjWrlV7bHq08Rz1IqOrwkvaLyOXAGcAwVW+nr2ygrc9hbYDN0UmhMcYknmb1avBkAqyzEu/eTSOBvwBnqepBn12TgItEpIaIdAA6AfPikUZjjKnK4t0m8SxQA5jmrm/8var+QVWXi8h7wAqcaqgbVLUgjuk0xpgqKa5BQlWPKWHfg8CDMUyOMcaYAPEeJ2GMMSaBWZAwxhgTkgUJY4wxIVmQMMYYE5IFCWOMMSGJJsqk5RVARHYAG8r48abAzgpMTmVgea4aLM9VQ3ny3F5VmwXbkVRBojxEZL6q9o13OmLJ8lw1WJ6rhmjl2aqbjDHGhGRBwhhjTEgWJIq8EO8ExIHluWqwPFcNUcmztUkYY4wJyUoSxhhjQrIgYYwxJqSkDxIikioii0TkM/d9YxGZJiJr3O+NfI6dICJZIrJaRE732d5HRH509z0j7rzmiUhE1rtpXSwi891tyZ7nhiLygYisEpGVIjIwmfMsIp3d36/na5+I3JzMeQYQkf8TkeUiskxE3hGRmlUgzze5+V0uIje722KbZ1VN6i/gFuBt4DP3/aPAePf1eODv7uvjgCU461t0AH4GUt1984CBOMuqfgGMine+SsjveqBpwLZkz/PrwNXu6+pAw2TPs0/eU4GtQPtkzjPOGvfrgFru+/eAK5I8z8cDy4DaOMs6fIWzAFtM85zUJQkRaQOMAV7y2Xw2zk0F9/tYn+0TVTVXVdcBWUB/EWkF1FfV79T5ab/h85nKImnzLCL1gSHAywCqekRV95DEeQ4wDPhZVTeQ/HlOA2qJSBrOjXMzyZ3nrjgLsR1U1Xzga+A3xDjPSR0kgKeA24FCn20tVHULgPu9ubu9NbDR57hsd1tr93Xg9kSlwFQRWSAi17rbkjnPHYEdwKtuteJLIlKH5M6zr4uAd9zXSZtnVd0EPA78AmwB9qrqVJI4zziliCEi0kREagOjgbbEOM9JGyRE5Axgu6ouCPcjQbZpCdsT1SBV7Q2MAm4QkSElHJsMeU4DegPPq2ov4ABOETyUZMgzACJSHTgLeL+0Q4Nsq1R5duvdz8apRjkKqCMil5b0kSDbKlWeVXUl8HdgGjAFpyopv4SPRCXPSRskgEHAWSKyHpgInCoibwLb3OIX7vft7vHZOFHaow1OcTbbfR24PSGp6mb3+3bgY6A/yZ3nbCBbVee67z/ACRrJnGePUcBCVd3mvk/mPA8H1qnqDlXNAz4CTiK584yqvqyqvVV1CPArsIYY5zlpg4SqTlDVNqqajlMkn6GqlwKTgMvdwy4HPnVfTwIuEpEaItIBp4Fonluc2y8iJ7o9An7n85mEIiJ1RKSe5zVwGk6RNWnzrKpbgY0i0tndNAxYQRLn2cdvKapqguTO8y/AiSJS203rMGAlyZ1nRKS5+70dcA7O7zu2eY53C34svoAMino3NQGm40Tk6UBjn+P+htMjYDU+rf9AX5yb7c/As7gj1RPtC6d+fon7tRz4W7Ln2U1rT2A+sBT4BGhUBfJcG9gFNPDZlux5vhdY5ab3vzi9eJI9z7NxHnqWAMPi8Xu2aTmMMcaElLTVTcYYY8rPgoQxxpiQLEgYY4wJyYKEMcaYkCxIGGOMCcmChDFJSETGiMhSEflbvNNiKjcLEsYkp3E4I7KHxjshpnKzIGFMOYlIpoj0reBzNhSR633eZ4i7JkqI4z8QkY4+mz7DmY5hY8BxX/muP2BMaSxIGJOYGgLXl3YQgIh0w1k3YK3P5ro4o3UbBBz+33DPawxYkDBJTERuF5Eb3ddPisgM9/UwEXlTRJ4Xkfnuql/3uvtGich7PufIEJH/ua9PE5HvRGShiLwvInWDXDPoMeKsGHivu/1HEenibm8mzupiC0XkPyKyQUSaAo8AR4uz8txj7unrStEKfG+58/AAXELxuXguAa4DegWUHCbhzPlkTFgsSJhkNgsY7L7ui3OTrQacjPOU/TdV7Qt0B04Rke440zKf6E6QCHAh8K57474DGK7OVOzzcVY99ArjmJ3u9ueBW91td+NMPtkbZ9bedu728TiLCfVU1dvcbb2Am3FWIOuIM9Mx7nfvlPgicgxQQ1WX4wSP8zz7VHU3UENEmoTx8zPGgoRJaguAPu7MuLnAdzjBYjBOkLhARBYCi4BuwHHqrAA2BThTnBXQxuDcaE/EuTl/IyKLcWbfbB9wvdKO+cgnXenu65NxprJHVacAu0vIzzxVzVbVQmCxzzla4Sy85HGJ55w4s4ZeEnCe7ThrMhhTqrR4J8CYaFHVPHc9kXHAtzizxA4FjgYO4TzN91PV3SLyGlDT/ei7wA048/f/oKr73aqdaapaUlVNacfkut8LKPrfC39B+qLPB57jkE/aAS7GWZTH0/bQSkTaqqqnEbum+xljSmUlCZPsZuEEg1k4pYc/4DyF18dZxW6viLTA6S7qkYmzcNE1OAED4HtgkFuVg7uuwbEB1wrnmEBzgAvc40/DmeYcYD9QL8w8rgQ81xyAU63VRlXT1VlP5e+47RBusGsJrA/z3KaKsyBhkt1snOqY79RZwe0wMFtVl+BUMy0HXgG+8XxAVQtwupCOcr+jqjuAK4B3RGQpTkDo4nuhcI4J4l7gNLfaaxTO+s37VXUXTrXVMp+G61Am46yZAk7V0scB+z8GPEt99gG+d6vVjCmVrSdhTByJSA2gQFXzRWQgzlrdPSM8Ry1gJs765gWlHPs0MElVp5c1zaZqsTYJY+KrHfCeiKQAR3CquCKiqodE5G6gNc4ynyVZZgHCRMJKEsYYY0KyNgljjDEhWZAwxhgTkgUJY4wxIVmQMMYYE5IFCWOMMSH9P3GN3NUd3jLPAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "for i in wrong_predictions: \n",
+ " plt.plot(wavelengths, data[i]) \n",
+ " plt.xlabel('wavelength(Å)') \n",
+ " plt.ylabel('flux (10-17 ergs/s/cm2/Å)') \n",
+ " plt.grid(True)\n",
+ " plt.title(str(i))\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Vergleichs-Benchmark"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.265"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn import svm\n",
+ "clf = svm.SVC(gamma=0.001, C=100.)\n",
+ "clf.fit(data_training, labels_training)\n",
+ "clf.score(data_test, labels_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\Josh\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
+ "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+ "\n",
+ "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+ " https://scikit-learn.org/stable/modules/preprocessing.html\n",
+ "Please also refer to the documentation for alternative solver options:\n",
+ " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+ " n_iter_i = _check_optimize_result(\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "0.7825"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn.linear_model import LogisticRegression\n",
+ "clf1 = LogisticRegression(max_iter=1000, random_state=123)\n",
+ "clf1.fit(data_training, labels_training)\n",
+ "clf1.score(data_test, labels_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.7775"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn.ensemble import RandomForestClassifier\n",
+ "clf2 = RandomForestClassifier(n_estimators=100, random_state=123)\n",
+ "clf2.fit(data_training, labels_training)\n",
+ "clf2.score(data_test, labels_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.4425"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn.naive_bayes import GaussianNB\n",
+ "clf3 = GaussianNB()\n",
+ "clf3.fit(data_training, labels_training)\n",
+ "clf3.score(data_test, labels_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/spectral_classifier_gold_big/download_fits_gold_big.ipynb b/notebooks/spectral_classifier_gold_big/download_fits_gold_big.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..6dbc716f604c0860db8ec7e9e708af223804c1db
--- /dev/null
+++ b/notebooks/spectral_classifier_gold_big/download_fits_gold_big.ipynb
@@ -0,0 +1,114 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\Josh\\anaconda3\\lib\\site-packages\\astroquery\\sdss\\core.py:862: VisibleDeprecationWarning: Reading unicode strings without specifying the encoding argument is deprecated. Set the encoding, use None for the system default.\n",
+ " arr = np.atleast_1d(np.genfromtxt(io.BytesIO(response.content),\n"
+ ]
+ }
+ ],
+ "source": [
+ "import numpy as np\n",
+ "import sys\n",
+ "import os\n",
+ "import subprocess\n",
+ "import astropy.io.fits as pyfits\n",
+ "\n",
+ "sdss_path = 'https://data.sdss.org/sas/dr16/sdss/spectro/redux/26/spectra/'\n",
+ "boss_path = 'https://data.sdss3.org/sas/dr12/boss/spectro/redux/v5_7_0/spectra/'\n",
+ "\n",
+ "from astroquery.sdss import SDSS\n",
+ "from astropy.coordinates import SkyCoord # High-level coordinates\n",
+ "from astropy.coordinates import ICRS\n",
+ "import astropy.units as u\n",
+ "import requests\n",
+ "\n",
+ "########## Input ##########\n",
+ "\n",
+ "target_directory = 'F:\\data\\spectral_fits_gold_big\\\\'\n",
+ "class_names = ['star','galaxy', 'QSO', 'AGN'] \n",
+ "\n",
+ "## Queries für star, galaxy, quasar und AGN\n",
+ "query1 = \"SELECT top 3000 plate, mjd, fiberid, class FROM SpecObj WHERE class = 'star' AND zWarning = 0\"\n",
+ "query2 = \"SELECT top 3000 plate, mjd, fiberid, class FROM SpecObj WHERE class = 'galaxy' AND subClass != 'AGN' AND zWarning = 0\"\n",
+ "query3 = \"SELECT top 3000 plate, mjd, fiberid, class FROM SpecObj WHERE class = 'QSO' AND subClass != 'AGN' AND zWarning = 0\"\n",
+ "query4 = \"SELECT top 3000 plate, mjd, fiberid, class FROM SpecObj WHERE subClass = 'AGN' AND zWarning = 0\"\n",
+ "\n",
+ "########## Program ##########\n",
+ "\n",
+ "queries = [query1, query2, query3, query4]\n",
+ "\n",
+ "for i in [0]:\n",
+ "\n",
+ " sdss = SDSS.query_sql(queries[i])\n",
+ "\n",
+ " speclist = open('speclist.txt', 'w')\n",
+ "\n",
+ " for plate, mjd, fiberid in zip(sdss['plate'],sdss['mjd'],sdss['fiberid']):\n",
+ "\n",
+ " speclist.write(\"%04d/spec-%04d-%d-%04d.fits \\n\" %(plate, plate, mjd, fiberid))\n",
+ "\n",
+ " speclist.close()\n",
+ "\n",
+ " with open('speclist.txt', 'r') as f:\n",
+ "\n",
+ " names = f.readlines()\n",
+ "\n",
+ " for item in names:\n",
+ "\n",
+ " name = item[:-2]\n",
+ " url = sdss_path + name\n",
+ " r = requests.get(url)\n",
+ "\n",
+ " target_file = target_directory + class_names[i] + '\\\\' + name[5:]\n",
+ "\n",
+ " with open(target_file,'wb') as f:\n",
+ "\n",
+ " f.write(r.content)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import requests\n",
+ "url = \"https://data.sdss.org/sas/dr16/eboss/spectro/redux/v5_13_0/platelist.fits\"\n",
+ "r = requests.get(url)\n",
+ "\n",
+ "with open(\"platelist.fits\",'wb') as f:\n",
+ " f.write(r.content)\n",
+ " \n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/spectral_classifier_gold_big/fits_to_npy_big.ipynb b/notebooks/spectral_classifier_gold_big/fits_to_npy_big.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..0259c1a970d69e7cfb0bda6e86514a595c29c81a
--- /dev/null
+++ b/notebooks/spectral_classifier_gold_big/fits_to_npy_big.ipynb
@@ -0,0 +1,180 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "6e2b226d",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Länge der Liste wavelength ist: 3267\n",
+ "Länge der Liste wavelength ist: 2690\n",
+ "Länge der Liste wavelength ist: 3483\n",
+ "Länge der Liste wavelength ist: 3521\n",
+ "0.4% waren nicht erfolgreich bei der Klasse:AGN\n",
+ "Länge der Liste wavelength ist: 3521\n",
+ "Länge der Liste wavelength ist: 3502\n",
+ "Länge der Liste wavelength ist: 3511\n",
+ "Länge der Liste wavelength ist: 3521\n",
+ "Länge der Liste wavelength ist: 3493\n",
+ "Länge der Liste wavelength ist: 3519\n",
+ "Länge der Liste wavelength ist: 3506\n",
+ "Länge der Liste wavelength ist: 3477\n",
+ "Länge der Liste wavelength ist: 3487\n",
+ "Länge der Liste wavelength ist: 3486\n",
+ "Länge der Liste wavelength ist: 3503\n",
+ "Länge der Liste wavelength ist: 3470\n",
+ "Länge der Liste wavelength ist: 3513\n",
+ "Länge der Liste wavelength ist: 3503\n",
+ "Länge der Liste wavelength ist: 3470\n",
+ "Länge der Liste wavelength ist: 3503\n",
+ "Länge der Liste wavelength ist: 3467\n",
+ "Länge der Liste wavelength ist: 3469\n",
+ "Länge der Liste wavelength ist: 3494\n",
+ "Länge der Liste wavelength ist: 3461\n",
+ "Länge der Liste wavelength ist: 3423\n",
+ "Länge der Liste wavelength ist: 3507\n",
+ "Länge der Liste wavelength ist: 3433\n",
+ "Länge der Liste wavelength ist: 3487\n",
+ "Länge der Liste wavelength ist: 3484\n",
+ "Länge der Liste wavelength ist: 3470\n",
+ "Länge der Liste wavelength ist: 3469\n",
+ "Länge der Liste wavelength ist: 3447\n",
+ "Länge der Liste wavelength ist: 3447\n",
+ "Länge der Liste wavelength ist: 3511\n",
+ "Länge der Liste wavelength ist: 3519\n",
+ "3.1% waren nicht erfolgreich bei der Klasse:galaxy\n",
+ "Länge der Liste wavelength ist: 3516\n",
+ "0.1% waren nicht erfolgreich bei der Klasse:QSO\n",
+ "Länge der Liste wavelength ist: 3461\n",
+ "Länge der Liste wavelength ist: 3472\n",
+ "Länge der Liste wavelength ist: 3475\n",
+ "Länge der Liste wavelength ist: 3468\n",
+ "Länge der Liste wavelength ist: 3444\n",
+ "Länge der Liste wavelength ist: 3469\n",
+ "Länge der Liste wavelength ist: 3459\n",
+ "Länge der Liste wavelength ist: 3424\n",
+ "Länge der Liste wavelength ist: 3431\n",
+ "Länge der Liste wavelength ist: 3521\n",
+ "Länge der Liste wavelength ist: 3441\n",
+ "Länge der Liste wavelength ist: 3515\n",
+ "1.2% waren nicht erfolgreich bei der Klasse:star\n"
+ ]
+ }
+ ],
+ "source": [
+ "import numpy as np\n",
+ "from astropy.io import fits\n",
+ "import matplotlib.pyplot as plt\n",
+ "from astropy.wcs import WCS\n",
+ "import os\n",
+ "import csv\n",
+ "\n",
+ "########## Input ##########\n",
+ "\n",
+ "fits_path = 'F:\\\\data\\\\spectral_fits_gold\\\\'\n",
+ "\n",
+ "samples_per_class = 1000\n",
+ "\n",
+ "smallest_wavelength = 4000 # in Angström\n",
+ "biggest_wavelength = 9000 \n",
+ "\n",
+ "########## Program ##########\n",
+ "\n",
+ "all_flux = []\n",
+ "filenames = []\n",
+ "\n",
+ "for directory in os.listdir(fits_path):\n",
+ " \n",
+ " count_failed=0\n",
+ " count_added=0\n",
+ " \n",
+ " for filename in os.listdir(fits_path + directory + '\\\\'):\n",
+ " \n",
+ " path = fits_path + '\\\\' + directory + '\\\\' + filename\n",
+ " \n",
+ " # fits-Dateien öffnen und wavelength + flux einlesen\n",
+ " hdul = fits.open(path)\n",
+ " data = hdul[1].data\n",
+ " flux = data['flux']\n",
+ " wavelength = 10**data['loglam']\n",
+ " hdul.close()\n",
+ " \n",
+ " # first und last Index finden\n",
+ " for i in range(len(wavelength)):\n",
+ " if wavelength[i]>smallest_wavelength:\n",
+ " first_index = i\n",
+ " break\n",
+ "\n",
+ " for i in range(len(wavelength)):\n",
+ " if wavelength[i]>biggest_wavelength:\n",
+ " last_index = i\n",
+ " break\n",
+ "\n",
+ " # wavenlength und flux Listen schneiden\n",
+ " wavelength = wavelength[first_index:last_index]\n",
+ " flux = flux[first_index:last_index]\n",
+ " \n",
+ " if len(wavelength) == 3522 and count_added < samples_per_class:\n",
+ " all_flux.append(flux)\n",
+ " filenames.append(filename)\n",
+ " count_added += 1 \n",
+ "\n",
+ " if len(wavelength) != 3522:\n",
+ " print(\"Länge der Liste wavelength ist: \" + str(len(wavelength)))\n",
+ " count_failed += 1 \n",
+ " \n",
+ " print(str(count_failed/1000*100) + \"% waren nicht erfolgreich bei der Klasse:\" + directory)\n",
+ "\n",
+ "# Numpy Arrays mit Daten füllen\n",
+ "data = np.array(all_flux)\n",
+ "\n",
+ "labels = np.zeros(shape=(4000,), dtype='int')\n",
+ "for i in range(4):\n",
+ " for t in range(samples_per_class):\n",
+ " labels[i*1000+t] = i\n",
+ " \n",
+ "wavelengths = np.array(wavelength)\n",
+ "filenames = np.array(filenames)\n",
+ "\n",
+ "# Numpy arrays in .npy Dateien speichern\n",
+ "np.save(fits_path + \"data.npy\", data)\n",
+ "np.save(fits_path + \"labels.npy\", labels)\n",
+ "np.save(fits_path + \"wavelengths.npy\", wavelengths)\n",
+ "np.save(fits_path + \"filenames.npy\", filenames)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "85504e55",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
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diff --git a/notebooks/spectral_classifier_gold_big/speclist.txt b/notebooks/spectral_classifier_gold_big/speclist.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9bed6b394a0fcf5fe59855c89a42358622643fa5
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diff --git a/notebooks/spectral_classifier_gold_big/spectral_classifier_from_npy_big.ipynb b/notebooks/spectral_classifier_gold_big/spectral_classifier_from_npy_big.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..bb214b7678de315ad434fa88a93f6d4751f6c6df
--- /dev/null
+++ b/notebooks/spectral_classifier_gold_big/spectral_classifier_from_npy_big.ipynb
@@ -0,0 +1,1830 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 1) Daten aus CSV-Datei auslesen"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "from astropy.io import fits\n",
+ "import numpy as np\n",
+ "import os\n",
+ "import csv\n",
+ "import tensorflow as tf\n",
+ "\n",
+ "########## Input ##########\n",
+ "\n",
+ "fits_path = 'F:\\\\data\\\\spectral_fits_gold\\\\'\n",
+ "samples_per_class = 1000\n",
+ "\n",
+ "########## Program ##########\n",
+ "\n",
+ "# Listen mit den flux Werten, Labels und Wellenlängen erstellen\n",
+ "data = np.load(fits_path + \"data.npy\")\n",
+ "labels = np.load(fits_path + \"labels.npy\")\n",
+ "wavelengths = np.load(fits_path + \"wavelengths.npy\")\n",
+ "\n",
+ "# Liste die Galaxie-Nummer speichert\n",
+ "numbers = range(4*samples_per_class)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 2) Normierung"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'np' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_4564/172449373.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mmedian_limit\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m3\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mdata_normalized\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m4000\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m3522\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;31m# Normierungs-Test: median normalization\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mNameError\u001b[0m: name 'np' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "median_limit = 3\n",
+ "data_normalized = np.zeros(shape=(4000,3522))\n",
+ "\n",
+ "# Normierungs-Test: median normalization\n",
+ "for i in range(len(data)):\n",
+ " \n",
+ " # median normalization\n",
+ " sorted = np.sort(data[i])\n",
+ " median = 0.5* (data[i][1760] + data[i][1761])\n",
+ " data_normalized[i] = data[i]/median\n",
+ " print(median)\n",
+ " \n",
+ " # No bigger value than 2x median\n",
+ " for t in range(len(data_normalized[i])):\n",
+ " if data_normalized[i][t] >= median_limit:\n",
+ " data_normalized[i][t] = median_limit\n",
+ " print(\"Datensatz \" + str(i) + \" oben abgeschnitten\")\n",
+ " elif data_normalized[i][t] <=-median_limit:\n",
+ " data_normalized[i][t] = -median_limit\n",
+ " print(\"Datensatz \" + str(i) + \" unten abgeschnitten\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**Ohne Normierung**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 114,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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c/5Cq9nR/PvZ4LJPB4jlk0+YBZLaS4GGgWVKUPzNpCd3+NpYNxenRah5NH8CnIvJriXL8nap+CWyKLlnGmOrs+6DZr9lSA3h/pnPf/MvW3SlOiSOaPoDrcTp+S0RkF04zrKpqoxjP/TsRuRiYBtygqptD7SQiI3EWoyEvL4+ioqKYTlZcXBzzezNVuuV58uSvaFArPu2dC1fsA+Dnn3+mqKg8bkq65TkZMi3Py7aWcPuUwAvgrFmz0NXeL0fxzPPGXU5tZM+ePQn/OxYXO/F/pk2bVrZty5bNns6biLRFMxO4YRzP+yRwF04T7l3Av4DLw5z3aeBpgIKCAi0sLIzphEVFRcT63kyVNnke6ywZcfTRA2lSr1ZcDrly6nKYN4c2BxxAYeFhZdvTJs9JlGl5nrhgHUz5LmBb9x6HUXhInudjxDPPqzbvhC8mUqd27YT/HRvOngTbttG7Tx+Y8hUATZs2pbBwQPlOY0MvsZKItEUTDlpE5EIR+Zv7vL2I9IvlpKq6VlVL3L6FZ4CYjmMySyLa67Ok5aBayc2pWAtMZRNQMvuRQo34SeWk9mj6AJ4AjgTOd58XA4/HclI3qqjP6cCccPsaE0r5gjApTYaJQY0QBUDwsNBg+0pKeXXq8oj7pbt0G7wQTR9Af1Xt7a4GhqpuFpGI9XkReR0oBFqIyCrgNqBQRHri3MAtA66KMt0my5XfNaXJN8l4ViO34n1npAv785OXcu8nC1DgogEd45qeZM5CLrtxCfFa0Y/raFY/Pk2kXkVTAOwTkVzctItISyDiSp6qel6Izc9FcV5jKkjl5BlTNaGagEoiXIQ373Q6/bfv3hf39CSzUjFr1VYg9MS3S1/4rsK2RIumCehR4F2glYjcA0wG/p6QVJlqKRHfs3SpShvvauaG6ANIYdNOsmoA/hPA0uVjG80ooNdEZDpwHE5N5jRVnZ+wlBlTiXRrSzXe1ciJvgkokZL1GdpbUt5gki6f22iagFDVBcCCBKXFGM+sAah6idQElMiZwl7jEOWPGsNlA/O57eTuMZ1n7/6ILeZJF00TkDFpQ8t+p8mtlPEs1P/MaxNQIvp+oql8vPDVspjPsyegAEiPz60VACZp4hnx0XeoDB8VmJVCfQyCg8Mlk68PwBflZvnGHXwwy2uoM+/mr95W9nie3+NUNgdZAWAyki0gUr1E/H+6Lydi0pTv3L4blKEPT+IPr39P/qjQM3L9fTJ7DX99bzbfLt0U8Qbn+jdnlj3+2/tzyx6nciJYxD4AEdkEvAO8DkxQW4HDpMiwRyaxatNOZt9xUppUoE0ot74/h+GHtWFA5+YhXw91BQnXCXzQLZ/Qo22jhK7VG5yeXSHCNYe77P332xVMWriBV6euoEOzepzRuy2/7t2O9s3qVdh32+79YdNw6K1jo0t0nHipAawHZgJ3AqtE5BERGVD5W4yJv/lrtrF9j/MlsvuQ9PXylOWc+/TUsK+H6gMIVwDsLSllhl/k0Ps+if8YFC2rXVS8FR8/fy33jJkXtqkxR4SurRrwr7OOoH2zujwyfiGD7p/I2U9N4c3vVnqat/DVoo3sTOCyj5XxUgDsUNXHVHUgTiiIn4EnRGSJiNg8AONZPC/ZqRw3bsLzUjCH2uXuMeUjyueu3kr+qDH8tHZ72banv1wSl/QF21C8h517w9+ZX/HSNJ6ZtDRsE1WpKg3q1ODXfdrx2pUDmHzTsfzlpIPZsH0PN779A33v+Zw/vTGTrbviP4EtHrwUAOWT7lVXqOr9qtobGIatBWxSJPjrOHPlFka9/YPVDFLMy58/0i4f/bAGgM/mrY14rNJS5Y4P57J0ww4PqSu3sXgPP6zaQsHdn3NOJbUVn30lFYdwlpYq3y7dRK5fzaFtk7pcO+RAxt9wDO/89ihO6t6ad7//mWnL0nNJFC8FwMRQG1X1R1W9I87pMcYTXwXAd8G58NlvGP3dSnaFv5kzYcxdvTVuBWdlnbmL1m0nf9QYvlsa/mK4ctNOvl680fP5Fq0v5oWvljHkgSJWbtrp+X0n/3sypzz2lef9D711XIVtL3y9jD37S5m2vOJSJiJC7w5NueLoToBTk0hHEQsAVb0+GQkxJhrhLlipHFGRiSYsWMuIRyfz1vRVcTleZR2dXy1yLuz3fBw+gMCg+ycya+UWwBmOGYl/gfOvT3+s8Lqq8s9xC1i9ZVfA9tVxWJFr0briiPvkpPkHskrDQEXk1nglxFR/8WydCT6WNf1Eb19JKUvWOxfZH3/ZHmFvb+4fG76TNlQQuMrMW7Mt4j7+//ZQnbhzV2/j8YmL+f3r30d17kjmrd7GvNVb43rMVKjqPIAr45IKY6IU3NTge1aV+635a7bx2jfLq3CEzDFl8Ua63vIJ05Y5zRfxKj93+I1mCR4BE2odgMrs2Rc5dIL/5yDU0X2ji+IdhmH4o5PKIntWJuNrACKyLczPduCAJKTRmAqCr1fxuIANe2QSt7xb/dYm2ldSyq6gYYZfLXLWUZ661Ht7uxf+o7MOu/1T1m8vHycSbQ3Ay2S/gF38Dv/14g3kjxrDHPcu3Xcd3ldSyj1j5kWVjqpI8+u/pxrAFqCrqjYK+mkIrEls8owJrWz2JoG/p6/dz8iX07PDrSo+m7e2Qju2Vxc88w2HBE008l2LfRfsD3/wFvpg194Stu4MP6QxeDx/33s+L3tcI0QY6MosXl95H8D8Ndso3lPe5+B/tz1+/jqAsgL9B/dufdzcX3hm0tKQx9u2ex9j58T3kpbxNQDgZSDcEjz/jWNaTDW3cvPOqIfrAdz10TwufzFwsYxwN4fPzN7Lpx6GD6bKnv0l/LBqS4Xta7buqvQC/5uXp3Ha41+xe18J+aPG0P3WsSGHJobyrTsE8d3vnY5eVS2LveP7M67fvsfT/+bEh7/giDs/LXt+yN/GcvUr08ueh4rq6buovvd95YXMtf+dEfH8ACs27qSkVBn2yKSACWf/m76KM55wRvaE6tMoLdVKY0dt372fq1+NnIZo+pvS/PrvaRTQX1X12zCv3RT/JJnq6ownvmbIA0VRv++5yUuZsGBdwLbgL2Gm9AHf8eE8TnnsqwpDFo+8dwJH3TeByQs3BGz/evGGslEx6/wu0jv2ljAjxPDDykxd7BQE94/7kSeKFld43UuBsnKTU0gV/biO179dwa59JYyd+wv7Skr5w+vfhxwZc/WrM/h+xWa++Gl9pcce84O3u+/B/5zIQ9NDT0HyzRqevGhDhdeWbCiOSyzRaNYuiLLVK+miWg/AR0RuV9Xb45wWYzyrMAooyedfumEHOQIdm9eP6n2z3aaITTv2howXc+sHc5hwQyHzVm/joLwGnP/MNwGvD3tkUtnjfSVOrt/+aS91OmwMGXvHv7bxxrSVzP55K0s2+F2k/f5wkdro/YOZBS9f+MOqrZVG0Dz9ia8rPXa05mwMHzrhje9WhNz+6tQVvPj1siqf2/d39ya9S4BYRwGdEtdUGBNGuJAPFTZXsQRYu618XHhwh+mDn/7IM0GhCIY8UMQx/yyK+jw57kW2RJU1W3exZH3gHfOS9Tvo9rdPGP7oJP45ruK4dn97S5x0frhkX1lTyJade/ndf2dw/9gF7C8prTDZad6abez2G12z3a8N/bh/fcE5T00Je753Zvwc9rV4XFjj5aa3Z4fcHq807vXY9AbVtAZAuhdrJq6WbdjBj2u3c1L31gk/19Zd+9i5dz9tGtdl0brtIe8cVbV8hEjZr+AmIQ05Ljyc7/0Cjh1y61gW/304uTmCqvLohEUA/GZw50qPMXnhBn73+gwOaFyXnh2aMGP5Zn7evIvZd5xUtk+uX+frkfdOAGDZfSMCjuO7QM9cuYXK7N2v/OI3oWnn3v30vPOzsuehmnki+WbpJv7w+vcM6tqCswral22PFHvpwwTEz09X0QwpjeYzmAqx1gD6xDUVJq0VPlDEVX4dfV5t3bkvIKCXj//Y7MkLN7BnfwnvzFjFuu27GfJAUdmF8ZynprI9xMzSWau2+q0IFlq0seKCv6d97nYupH3vGe/5GP8Yu4AtO/cxb802/vvNChb8sj3gDhtgfbHTdu3/9zz6HxNCHu+bSkImAHw+fy1/fa/8bjdUuIJYfDBrNX/53w8Bbd1H3Rc6jdnIa+c7VJMagIicBJwGtMX5zq0WkfdVNTVBrE1a2rFnP7k5Qp2auXy/YjNXvzqdtdsqdtZd8+p0nr64gL9/PD+gWn5Y28Zs2rG37HmouOwA+0tKefErZyhf+WIegfsU795P43o1PaV73bbdZTNifbbs3IeqsqG48niHu9001qmZG/bCUFKqdPm/j/nziQexzv17bPTL56rNsQ3v/N/0VRzQuE5M7/VixKOTGHvdYAB+2Vb10AnVRTQFQCKWsIwnLwvCPAwchDMc1BcwpB3wBxEZpqp/TFzyTKpt9rtQRdL9tnE0q1+Lr0cdW2mnn2+YZvBQvbVBF5lwMdJzcqQs5oxq4LBGn9Oe+IqJfy6MmOY5P2/lV/+eHPK14JEkM1ZspneHpgHbetw2jro1c5l9x0lBa76We2vaSgAe+PSniOmJRn7zeizb6D0AWrQW/LKdH1Zt4fB2TRJ2jkx0w5uzPO+b5i1AnpqAhqvqcFUdraqT3Z/RwAhgeKQ3i8jzIrJOROb4bWsmIp+JyEL3d9PKjmFS56xKOgVD2bRjb8S7ZoA/vzWLKUsCZ6H6d65VNtbaP/xuqSrTQwyHXLphBz+s2sI/xy3g+xWBr5eUKrd/MJfVW3bxSSUTfy56LnD08xkhCrX9pcr2Pft5fOIiNmwPne/3ZobvPK2KnCS0L5zy2Fe8MmVZws+TSUJF/wwnngXAqs3xL+y9FAC7RaRfiO19AS/1wheBoUHbRgHjVbUrMN59btJQpIiH9348n/xRY1iztbwZY+ycXwL2CfUl+F+I6JNb/GaYvuneNYfif7evCv8Kc2d9ymNf8fjExZz+xNfs8GuLn7lyMy9+vYzr3pgZdRV9xorNAR2vPv8c92OF9n6fcDWDTOG/fm08PX9pQUKOm07iORM4VHNqVXkpAC4F/i0i80TkU/dnPvBv97VKqeqXQHBv1qnAS+7jl3D6F0ya+2Xr7gp35k+5wyN9HbcQeQq/F//5IvwKUE9MXFT2eMzsNRVqEqF0v21c2apMtWvkAk4/QbTfzzOe+JoB93rvGPadJxHSvHUhomO75THtr8enOhlVVtlnKJ41gN4dmsTvYK6IfQCqOgPoLyKtcTqBBVilqr9U/s5K5anqGvf4a0SkVbgdRWQkMBIgLy+PoqKimE5YXFwc83szVbzzPODe8Zx9cE2Gd6pV6X4/rw4cEhjLLN3KwhKMD5oV7NW4iZNoVS+H5ducvoXtxcUsXx5bB2w0FnqIGx+LHTsT1/6fDL7PZtcmOSzckrm1pBwI+z3bvDt++friiy/idiwfz/MA3At+wEVfRLqpavxXaQ4879PA0wAFBQVaWFgY03GKioqI9b3pbPWWXeSI0DrEaBAveV60rpgHxv3Io+f1olaNEBXCsWMCnn6+Srj/ssKwrwN8uSo9l+Xq378/HZvXZ87PW+HryZTm1mbCqvRcq9WLX3ZkSPyLMHyfzb5H7qf7bZUPYX3igt789jVvsYKSLTc3J+z3bPWWXVBU9SG0DWuRkOtXVdcD+DTyLiGtFZE2AO7v2G7pDEfdNyHqJgl/N7/zA2Pn/hJx0pHPph17eXv6qoAwv5nq5y27AqJJZoN6tXJTnQQAavvdbNSvHfk+tHaom5MIWjasHfV7YlE7N3zaYl2HoFdQc89dR9WN6TiReBkG+mi4l4AmMZ73A+AS4D739/sxHsdUUXDzzCez1zB1yUbuOLVH2Pfc8Jb3YXDpRBC27NzLg5/FdzhmuvrriEO4e0zg8ovRBDJLpKMPbBHwfMRhbRgzO/SIrIsGdIzpYv6HYw9MWAe2v8rCXHsp3EIJ/l42qVPVe/XQvBz1MmAOMD3oZxoQcZC4iLwOTAEOFpFVInIFzoX/BBFZCJzgPjcJ8vXiDWUTloKVraTlfoaveW0GL01ZTv6oMTzu19laHTz5xWJueW9Ohcii6aagY+hR0V+NOpYfbj+R/119JAM6Nwt4rV3TineIlw3sxBm92gZse+GyvvFLqJ+nL+rDZQPzPe373CUFPHZ+74Bt4QqmPh2bctdpPTi8XRPevuZIDspr4OkcRX8uDDuPJN5qVFID8FpwtW8W+P/z/2s8cm7PGFLljZcC4Dtgjqq+FPwDRFxIVFXPU9U2qlpTVdup6nOqulFVj1PVru7vyue8m5gtWred85/5hts/qPxOKNQ9zPOTQy+ckale/3aF55DDqeQ/cuTmYd3KHrdtUpdGdWpSkN+MmkEXnYPzGlY4Tm6OlMWi+fvph/HVqGM5qksLfrx7aIULTlUN6dYq4K7+hEPzwu573CF51A1qiqoZponntSv7lz3u07FZpXfUz1xcPqw0v0V9Tu3Zli4tA6O1/vu8Xsy+/UQ6t4guimtlbjzp4Cofo2uroP+f/1KXCZxN5qUAOBOYGeoFVe0U19QYAJ6dtIS7P4rPsnW+oY+hYvL8vGVXwCSq4JWe0qOxIPsIwhm9nTv3UAusQMX1dY/uWn7xvXBAh7Ix9uf37wDAMQe3pG0T56Jfu0Yuk248louPDFznqSoXxVyRgPhL0a7/e/vJh3JNYZeAbU3r1aROzcCCorKjBhc6rRvXYfwNhWXPCzo25eQjDqBhnZrsKw3dNj/k4JZRpfsfvz4sIGheKLf+6tCIxwn+eyXru+dlQZhNqprZ480yzN1j5vNsnO++Q32gTg0KFbx0Y+DQy01RhIEw3v399MPKHvtHAn3onCOcBwKtGzmjukpLlcsG5nPXaYF9MhN/LF9c5eEhdbn0qPyy5zeccDDHdnMuhn06NmXZfSPKLv7+gi9Mn1w3qOxx3/zoJufnuJFTfa4/4aCyx/61mHCaN6jNTUO78eDZR/DkBU7z0IUDKi5EGHw3fOep3QOe/3XEIXQ/oFHIc7zqV5u4eEB+2eOurcqblRrV9RY/ymfE4ZGXRb/86E4R11oI7kfwL/f7hGkSjAcvncAf4gzDHKuq+4Je64wzGWyZqj6fkBSaKgr/wfMP2bBzbwmPjk/oiF7jOq9fe3p3bEK31oEXqmMPdi7a1w45kJq5whNFi+nXqTn9OjULdZgyTWrnICI8fVEfNu7YS9P6lc/T8PFvu+7WuiG1a+Ry1eDOHN21BU9VMhEvbDrqOee94uhOtGtavtjNVcd04d5PnM9WpLvhM3q3A2DRPcNCXjSDNw3t3ppb/Tp6rxzUmSsHhQ7b7V+b+M3gzvxmcGde/3YFhQe3LJvIeMcp3Xl/pvfQ1tHWdMLJzQl/L962SV0WxuUsFXnpov4NcD3wsIhsAtYDdYB8YDHwmKpm1CiemSu3sLF4D8cdEr6dMl08+OmP/LJtN/ef6dwd7ty7n9emruCKozsx++etcTvPo+MXRhXjxMClR+V7XmTkvH4duPPU7qg6d7HBF3+AxvVqBtQIfrx7aNmsZS9OrMJ6Db6745uHHwLArJVbQi6r6G/MH45mxKPlgfT6dWrGsxcXMOigFmHfc/nR3lqNw3WsBofu8BU6R7Rv4um4wc7r1yHk8UK5oH8HXvsmcLWxeBUAwYLXt0gUL01Av6jqjaraBTgLuAunQOihqidk2sUf4LTHv+KKl6alOhkR+RYjeXNaedyc+8f+yD0fz+fjOWtYttF7yIW5q7eRP2oMi90VqBatC+wTsIt/9Lof0IgZfzuBerVy6ZvfNGQzi0/NXKFmbk7oyXZhRHPxj5Wvk7RFg8DRKr8tPLDCxREC78AbhOiQPf7QPGrXyKVGJXe0VeHfAjThhmOoVSOHCTccE9BZnAiPnNuTujUr/j8iNe34RFpIPpqF5uMpqv+Sqi5T1SmqOtP6BRLv49kVo21s2+20wvkv61eZ8fOd0Mu+CSkT5jtDII9/8Mt4JDFrnNWnXdnjY7s5kUtKSpVm9Wsx786hvHX1UUy+aUjAezq1qM8hbZw7/URdEKvqo98PYtatJ1bYnpMjASOFarpt1DcO7VZ20evYvD5/HXEIU28+ruL7EzRwxVcA/L5XbTq3dNruO7dsELIw8ndUl4rrJUdj4IEtyHX/BqP8+jTiNUInVQMuYl0S0iTB8k0V7/B9o3nen/kzm3eWd9Ku276bVg0rhoMIbiZKRgjh6ubNq450wke4rj/hIFZv2VWhyUVEePGyvmzasZfr35zFWQXtOOGQPE546EtO6Rm5szAV6tbKrTAkM5TOLRow7k/O4jCnHHFA2QIx4drbEzV00Rdds24N78df8vfhcQnK5gtDHstkuvP6VWw+8nfioXkBQ5STVSGwAiCN3T+24qLg81ZvA2DSwsD22XOfmsqEEAugBDcT5Qqs3GSVt2iIwH532GC31g3p0bZx2UpZwQoPdmoHw3q0oU5Np3M2eM3fYA+cdYSnNRSSbXiPNmWfQf+73gOa1OWASpq7Qnns/F4xh0Xw57uQR3OBjNdNj6/mE0sBcNepPdhXUhrQnOtTt2ZuyvojPddLQ0XsFJGqz4AwcbFkww5Oe9wZ1jl54QaGPFDE3hJl5abAaJe5OcKg+yemIolpz78Z4ZyC9mVt+jkC+0qcL73vAh9J3Vq5nu+Cz+zTjquP6RJ5xyTLb1GfZfeNYNl9IxjSzVu+w/nV4QeUjfCpCl8ncLxvkL3EGurfyWlGCl4VzoucHAnZhwCpXTc4mobJSSJytu+JiNwAvBv/JJlQnvpiMftKSitd7Hzmyi0s3bCDC5/7hqUbdrBuZ8WdExkLZlDX8KM/4uHZiwu47eTIk2qi1bG5M2TR/3r9jzMP5+7Te5Aj0DWvIfvdAqBmJXFfUuEfvz4s8k4p8s8zD+ezP4WuKcWqkztZzeNyz54V/aWQt685KuzrgjPZbtZtJwZMuosHkdStHBxNAVAIXCQib4nIlzjrBIdaKSwrLVy7nRe+SlzohHs/WUDXWz6JuN+QB4rKHoeaRXr7h/GZYRzKn/wm/yRK8MzQqmrdqE7ZQu3bgxZuGXJwK5bcO4JGdWqWLQSeLp25r1zRjxGHt+GcvhVH6qSLswra0zVEiIqquGXEITx/aQGdG8f3c9CmcV1PE64aRzlRzF80/SLJ6gPw/Gl2F3AZCxyJMwfgZVVNzEoXGeiEh77kjgReXGOxJzmxsJLiwFYN6N+5GaXuNyPUEMW2Teryu561GTk4dMdkKHef1sPTmGtfUK82TSp2tKfCoK4teTwooFo2qFMzt2yWc3USXDakTSgIHxH5DOgP9MBZDP4hEXkgUQkzVbd1T3IHlzWqU/mYgk4t6vPFXwpjOvYnfxxEwzo1y5rAQrWbntS9NQWta3gKzuVrrqqRK57uti4c0JEnLugdMBzUZI/giWnv/vYoHj6nZ1yOncpGxWjqs4+r6sWqukVV5wBHAfGbipoG9uwv4Y3vVlRpUsbOvdEtMLJ++564jI4I5fUFiY/l89cRh5Q9PrBVQx4+pyeHtimf5eofpvjyozvRsXlsAcd8w/98/5tQi237NkWanDPpxiFlMzhLStVTAZCbIww/rE1CIzOa9PTCZX0rNP306tCU04JCbWeiaJqA3gt6vl9V74p7ilLooc8WctPbsxk7J/bljv/1qffFRlSVvvd8zp/emFm2LZ6dtJt2x7cGcMxBFSMlXjmoMwf6BdM6rVdb8ls4naqPnd+LyTcdy1B3vHwsox1uHHpwwHtL3b9PqOuwb5P/RXrEYW0q7Negdo2yIF5dWjagnTvh6dgqjnQx1dMQjyO/Igl77yAVQ1wkSzRNQNtFZJv7s1tESkSkWtUAfGOxgzsDQ1m5aSf9//45qzYHjqkvruS9//r0R6YtK1/64Dr3wu+/EtKMFekbkuH0MHc8H/3+aObccVLZ87o1naYgX8z6Ju6QjdxK7p5r5eZwVYi2+98WHsiy+0aUXdTLm4DC1wD8PXJuT+b6pc2335l92rHgrqHkt6hfFnnz8oFOnJrKQjoYU1VDu7fmg98NLHse6luRrNAQ0dQAGqpqI/enDvBr4PHEJS3xdu0tYdG62Pqx35y2krXb9nDZC995fs+/JyzizP9MKXseKupgaZos2RfKwa3LR3QMPqglfz7RGfVTp2ZuwBj6W08+lOuO78rx7uQWX8et7wLdJMQYvp/uGUaH5vUqbA92kDuqpKdf8K/hhzk1jHP6VozLXiM3p8IiIr7vlm9Eka/WlZMDc+44ifE3HBMxHcZEy3eXX5DflMPbNQl8LUUtizHPBFbV90RkVDwTk2wXPfcN05ZvZuE9wyqssBSJr515YVABUtUofukcqqFerVz+b3g3HvpsIS9fHn4EcOO6Nbnu+PIhob4Lru8u/v1rBzJ1yUZ+2bqHhz4vbzLzMsnq6K4t+OIvhXRsXp+OzeuxdtsehvYoD8mwyh2I9dj5vUKukgXlBVJw+nJEIsaUMSZW4WYxp7JfyfOnXUTO8HuaAxSQIYtGrdi4k1fm7WHQYA3oIPRFwCwpVWrmRtcbHy4MbKw1t7Fz1vDGdyu5dsiBsR0gge45vQd5DevQsXl9Rg7uwsjB0c1aLQnquHUu3vXZva8koABo26Quz11SEDFSq68juVclMzJ/VclCHcFzCUor6Vg2Jl7CdgFkyEzgk/1+TsJZD/jURCQq3n4/+nvGr9jPk0WLeHt6xVgcwT6avYa1brCrcMLFK/cFa7v34/n0ueszz2m8+tUZTPxxfUo/DOH079SM4ytZ4zUSX6EY/CeLdMG9JGjJwqrwnerTPw2u0CR0/YkH0bx+LQ4Ns5KUMfGUrFj/XniuAajqZYlMSCL5OlQeCDNC581pK7nzw3nsd9uCv/xpPec/MzVgPdFg/jUA/6UTfXeXT325pOzc//liCWcXlI8fH/bIJJ67pHwBa38bi1O/DGOD2jUo3lPemd2qUdUmP5X1AQTdA4UarukrLI7t1oo7Tu1R4fVYCU51tX3Tiv0MR3VpwfS/nRC3cxkTSrj7HanktUTzsiTkv6mkqUdV/xDXFCVApL+t/5JyPis37wqxZzn/u9fefnf6JaVaFrMfYNzcX/jH2AW8NW1l2bb5a7bxytTlIY878pXpEVKbeGf2aeeGm94XMZKlF+V9AIHbU9HdkY41LJNdMq0PIP2Xzookhj+w/zCsvftLWbZxBwflNWT99j3UqqTDeNryzRx++6dlz69+dQbgROv092TR4qjTlCytG9fhw98fXRZ6uqp8o2yC7/hDffB9I4T8J5DFkxUAJlXSMRaQlwLgeFW9SET+qKqPJDxFCRDLd95/NOZBf3WCsL1yRT8ueu5bROBvI+IflTJdnNu3PU3q1QpY2Lsqdu1zghKFC4frryC/Gf+5sA+FB1ecdFYVIgKqKZtwY4xP8LVdqNg8Wr924pcDBW+dwH1EpCNwuYg0FZFm/j9VObmILBOR2SIyU0QSVtOI5a4veKggwII1TgevKtz5UXoFfouXQV1b0KhOfGPtntHbmUDW/YDGIV8/oHFgH8PQHq3jHvWzQ7OKIZ+Nqcy5fdtz4YD4RVv1Ogro5mHdePLCPnE7b2W81AD+gxMFtDMwncB8qLu9Koao6obIu8Uulu+8qtMMtHNveUjNf09YGL9EJUn7ZnUrLApTmVeuiP/i2r86/ICwwzJHjxxA55axxQeKxuiRA/h+xeao53uY7HXfrw9P0pkkoBC4KomLA0X8Nqjqo6p6CPC8qnZW1U5+P1W9+CdFrJ0s/56wiO63jSt7vs1DiIh08+DZPT3vW8vDqkjxNqBz85BrGcdbXqM6DO1RMS6QMUkTNBGswMP6A4kWzTDQaxJwfgU+FREFnlLVp4N3EJGRwEiAvLw8ioqKoj7Jtq3e74D9jZ6SeXf8wRbMnul539KS0pj+vumkuLg44/MQLctzYsT7+CtXOEO8Fy9ZTBEruaBTKdOWw759e/nyiy/CnreoqChh+U31vPeBqrraXW/4MxFZoKpf+u/gFgpPAxQUFGhhYWHUJ7l83JiYElenTj0o3hF5xzQx89YTGHjfBHb4NVsNHNCPs/csDrkYtc+kG4cw6P6JSI4Qy983nRQVFWV8HqJleY6zsc71It7Hn7prASxdTKdOnSksPNCZbFo0ntq1anHMMcfAp58EntcvHYnKb0obRFV1tft7Hc76wglZYjLW+GrBQzdTyUsrVpN6tSqslNWqUZ1KV1BqXr8WTevXApI39MyYbOQbiOCLNuv/fQvVTP3B7wYyeuSAhKYpZQWAiNQXkYa+x8CJwJxUpSfdffT7o0NuD263/7/hhwSsWuUEN3M+aYNDxPPv1aFp2YQsu/4bkzjn9WvPy5f349SezoAIX0iIcDd3h7drwoDOzROaplTWAPKAySIyC/gWGKOqY1OYnrR06VH5QHkY5GA/3T0s4HlOjlSIddOjrTP88uIBgbF16tTM4dHzelZYbcsYE38iwuCDWla420/l3JSU9QGo6hLgiFSdP1NcdGRHbj+le8jXukcIXnZGV9+s2nosvXd4hQ/eYW0bU69WjbIlKe3yb0zyBDQBpSgNNig6zfl/MK4p7MKj5/Uqe/72NUeFfM9wdxnEXq3Ky/dQbYy+O4+coOFpxpjE833dMiUcdMY6oQqhjNPJTUO7ccoR5ROqws2W7depGcvuG0H7hhX/ve2blcfY8cXm8f32X2XLGJMcaR0NtDqonYIJTulq7B8Hs2Pvfv5TtIQrBzlr4IoI7187kPwWiZ+Ra4xxpEOfW1YUAKkMt5os4VYoC1a/dg3q167BrScHBrM7wu7+jUkq/6VSU3WNyooCIJ3lN6/Hso07q3SMFy7ry4EtG8QpRcaYbGFtIynWOcyF+9Kj8unRtpGnkMxDDm5F+2bxCd1sjMkeVgNIseMPyWPCgnUVtg88sEXY4Z8Pn9PToloakyDHdmvF14sTGqA4bVgBkGJn9mnH/707u8L2yhZEOa1X20QmyZis9vylfZN6PhsGmsXCdd7aHb4x1VsaDAKyAiDVcvwKgI7NrR3fmGwRKRZQMlgBkEZysmC4qjHG0bpxHTo2r8edp/RIWRqsDyCNbNqxN9VJMMYkSe0auXzxlyEpTUNW1ADSYcadF78tTN5aoMYYkxUFQKZo06Ru5J2MMSZOsqIASKf7/zN6hx/C6TWcgzHGxENWFADpVAI8eHZPnrm4AIBXr+gf8JoVAMaYZMqOAiCBXrq88mWMv//bCRW2nXBoHt/echxHd20RsN3G/htjkikrrjiawCpAzdzwd+0jB3cuW3A9WKuGdSpsa9mwdtzSZYwxkWRFAZBIld21N60X+uIfTrfWodf9NcaYRLACIAa+4ZoH5TWodC3PaOd12UQwY0wyZUUBEO9pAF3cEM6N6tSs8NplA/NpG+NwTrv+G2OSKSsKgFkrt8T1eP7lyWHtGjPIrzP3tpO7M+JwZ1F2r9fzNo2d/oBsWLnMGJM+sqIAWL11d1yP17iuc+ffNa8BtWvk8krQcM5oZx6/fc1RPHFB77ilzxhjvLBYQDHo0rI+o0cOoGeEdXSDb+gHHxQ6xv8BTepygM0CNsYkWUprACIyVER+FJFFIjIqlWmJhgIDOjenTs3c0K+HqQC8HGHOgDHGJFPKCgARyQUeB4YBhwLnicihyTi3L+5+5xb1Y3p/pCYeX4x/G9VjjElnqawB9AMWqeoSVd0LjAZOTcaJOzSrx7w7T+L8/h3C7tO1VejF2gFKIzTxXzvkQM7r14EL+neMNYnGGJNwqewDaAus9Hu+CugfZt8qee3K/lzw7DeAswbvdcd3pV6tGpzeqy3Tl2/mzD7tuOKlaTx7cQHXvTGTswvac26/9rw8ZRmHtGnEfR8v4O7Te/DGdyvp2Lw+B7asWDjcOPRgDmndCHA6ie8947Cy10YN6xbyPaH84dgDObJLi8g7GmOqlWuHdGFw1/BrgSeCpCpWvoicBZykqle6zy8C+qnq74P2GwmMBMjLy+szevTomM5XXFxMgwbeLsLVheU5O1ieq7+q5nfIkCHTVbUgeHsqawCrgPZ+z9sBq4N3UtWngacBCgoKtLCwMKaTFRUVEet7M5XlOTtYnqu/ROU3lX0A3wFdRaSTiNQCzgU+SGF6jDEmq6SsBqCq+0Xkd8A4IBd4XlXnpio9xhiTbVI6EUxVPwY+TmUajDEmW2VFKAhjjDEVWQFgjDFZygoAY4zJUlYAGGNMlkrZRLBYiMh6YHmMb28BbIhjcjKB5Tk7WJ6rv6rmt6OqVphmnFEFQFWIyLRQM+GqM8tzdrA8V3+Jyq81ARljTJayAsAYY7JUNhUAT6c6ASlgec4OlufqLyH5zZo+AGOMMYGyqQZgjDHGjxUAxhiTpTK+ABCRXBH5XkQ+cp83E5HPRGSh+7up3743uwvQ/ygiJ/lt7yMis93XHhVJ38V8RWSZm9aZIjLN3Vbd89xERP4nIgtEZL6IHFmd8ywiB7v/X9/PNhG5rprn+U8iMldE5ojI6yJSpzrnF0BE/ujmd66IXOduS26eVTWjf4Drgf8CH7nP7wdGuY9HAf9wHx8KzAJqA52AxUCu+9q3wJGAAJ8Aw1Kdr0ryuwxoEbStuuf5JeBK93EtoEl1z7Nf3nOBX4CO1TXPOMvDLgXqus/fBC6trvl109kDmAPUw4nK/DnQNdl5zugagIi0A0YAz/ptPhXngoH7+zS/7aNVdY+qLgUWAf1EpA3QSFWnqPPXfNnvPZmi2uZZRBoBg4HnAFR1r6puoRrnOchxwGJVXU71znMNoK6I1MC5KK6meuf3EGCqqu5U1f3AF8DpJDnPGV0AAA8DNwKlftvyVHUNgPu7lbs91CL0bd2fVSG2pysFPhWR6eKslwzVO8+dgfXAC25T37MiUp/qnWd/5wKvu4+rZZ5V9WfgAWAFsAbYqqqfUk3z65oDDBaR5iJSDxiOs0RuUvOcsQWAiPwKWKeq072+JcQ2rWR7uhqoqr2BYcC1IjK4kn2rQ55rAL2BJ1W1F7ADp2ocTnXIMwDiLJV6CvBWpF1DbMuYPLvt3KfiNG0cANQXkQsre0uIbRmTXwBVnQ/8A/gMGIvTvLO/krckJM8ZWwAAA4FTRGQZMBo4VkReBda61SLc3+vc/cMtQr/KfRy8PS2p6mr39zrgXaAf1TvPq4BVqvqN+/x/OAVCdc6zzzBghqqudZ9X1zwfDyxV1fWqug94BziK6ptfAFT1OVXtraqDgU3AQpKc54wtAFT1ZlVtp6r5ONXkCap6Ic7C8pe4u10CvO8+/gA4V0Rqi0gnnA6Xb91q1nYRGeD2nl/s9560IiL1RaSh7zFwIk5VstrmWVV/AVaKyMHupuOAeVTjPPs5j/LmH6i+eV4BDBCRem46jwPmU33zC4CItHJ/dwDOwPlfJzfPqe4Nj8cPUEj5KKDmwHic0nQ80Mxvv1twes9/xK+nHCjAuZAuBh7DnSGdbj847eGz3J+5wC3VPc9uWnsC04AfgPeAplmQ53rARqCx37Zqm2fgDmCBm9ZXcEa7VNv8ummdhHMzMws4LhX/YwsFYYwxWSpjm4CMMcZUjRUAxhiTpawAMMaYLGUFgDHGZCkrAIwxJktZAWBMhhGRESLyg4jckuq0mMxmBYAxmecynFnCQ1KdEJPZrAAwphIiUiQiBXE+ZhMR+a3f80Jx17MIs///RKSz36aPcEIArAza73P/+PHGRGIFgDHJ1wT4baSdAESkO07c9yV+mxvgzCJtHLT7K16PawxYAWAylIjcKCJ/cB8/JCIT3MfHicirIvKkiExzV1u6w31tmIi86XeMQhH50H18oohMEZEZIvKWiDQIcc6Q+4izStsd7vbZItLN3d5SnFWdZojIUyKyXERaAPcBXcRZ7euf7uEbSPmqZ6+5cV0ALqBibJcLgGuAXkF3/B/gxA8yxhMrAEym+hIY5D4uwLmA1gSOxrk7vkVVC4DDgWNE5HCc0LsD3EB6AOcAb7gX5b8Cx6sTansazkpzZTzss8Hd/iTwZ3fbbThBCnvjRG7t4G4fhbPIS09V/Yu7rRdwHc7KT51xot3i/i4LeS4iBwK1VXUuTsFwpu81Vd0M1BaR5h7+fsZYAWAy1nSgjxsddQ8wBacgGIRTAJwtIjOA74HuwKHqrLw0FjhZnJWnRuBcRAfgXHi/EpGZOFEYOwadL9I+7/ilK999fDROqHJUdSywuZL8fKuqq1S1FJjpd4w2OAvi+FzgOyZO9MgLgo6zDiemvjER1Uh1AoyJharuc9eCuAz4GidS6BCgC7AL5y68r6puFpEXgTruW98ArsWJv/6dqm53m1s+U9XKmk8i7bPH/V1C+fcqmgXJ9/g99j/GLr+0A5yPs2CKr62/jYi0V1Vfh3Ad9z3GRGQ1AJPJvsS50H+Jc9d/Nc7dcyOclcO2ikgezpBJnyKcBWV+g1MYAEwFBrrNK7hx6Q8KOpeXfYJNBs529z8RJ4w1wHagocc8zgd85+yP09TUTlXz1VkL4x+47f5uQdYaWObx2CbLWQFgMtkknCaSKeqsmrUbmKSqs3CafuYCzwNf+d6gqiU4wyiHub9R1fXApcDrIvIDzsW+m/+JvOwTwh3AiW5T1DCc9W63q+pGnKakOX6dwOGMwVnvApzmnneDXn8X8C2f2AdnofHKlhY0poytB2BMgohIbaBEVfeLyJE46xr3jPIYdYGJOGtBl0TY9xHgA1UdH2uaTXaxPgBjEqcD8KaI5AB7cZqdoqKqu0TkNqAtztKJlZljF38TDasBGGNMlrI+AGOMyVJWABhjTJayAsAYY7KUFQDGGJOlrAAwxpgs9f9A9SHvLvoDgAAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "for i in [1, 2, 3, 1002, 1534, 1550, 3999]: #1534 \n",
+ " plt.plot(wavelengths, data[i]) \n",
+ " plt.xlabel('wavelength(Å)') \n",
+ " plt.ylabel('flux (10-17 ergs/s/cm2/Å)') \n",
+ " plt.grid(True)\n",
+ " plt.title(str(i))\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**Mit Normierung**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'data_normalized' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_4564/1696242517.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1002\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1534\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m3999\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwavelengths\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata_normalized\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'wavelength(Å)'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'flux / median'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mNameError\u001b[0m: name 'data_normalized' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "for i in [1,2,3,1002, 1534, 3999]:\n",
+ " plt.plot(wavelengths, data_normalized[i]) \n",
+ " plt.xlabel('wavelength(Å)') \n",
+ " plt.ylabel('flux / median') \n",
+ " plt.grid(True)\n",
+ " plt.title(str(i))\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 3) Trainings- und Test-Datensatz erstellen"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import random\n",
+ "# z = list(zip(data_normalized, labels)) # Mit Median-Normierung\n",
+ "z = list(zip(data, labels, numbers)) # Ohne Median-Normierung\n",
+ "random.shuffle(z)\n",
+ "data_shuffled, labels_shuffled, numbers_shuffled = zip(*z)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(4000, 3522)\n",
+ "(4000,)\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(np.array(data_shuffled).shape)\n",
+ "print(np.array(labels_shuffled).shape)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "split_index = int(len(data_shuffled)*0.9)\n",
+ "\n",
+ "# Daten\n",
+ "data_training = np.asarray(data_shuffled[:split_index])\n",
+ "data_test = np.asarray(data_shuffled[split_index:])\n",
+ "\n",
+ "# Labels\n",
+ "labels_training = np.asarray(labels_shuffled[:split_index])\n",
+ "labels_test = np.asarray(labels_shuffled[split_index:])\n",
+ "\n",
+ "# Galaxie numbers\n",
+ "numbers_training = numbers_shuffled[:split_index]\n",
+ "numbers_test = numbers_shuffled[split_index:]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 4) Netzwerk erstellen"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import tensorflow as tf\n",
+ "from tensorflow.keras.models import Sequential\n",
+ "from tensorflow.keras.layers import Activation, Dense, Flatten, Conv1D, MaxPooling1D, Dropout, InputLayer, GlobalAveragePooling1D\n",
+ "from tensorflow.keras.metrics import Accuracy\n",
+ "\n",
+ "from tensorflow import keras\n",
+ "from tensorflow.keras import layers"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "input_shape = (3522,1)\n",
+ "\n",
+ "data_training_r = np.reshape(data_training, newshape=(len(data_training), input_shape[0], input_shape[1]))\n",
+ "data_test_r = np.reshape(data_test, newshape=(len(data_test), input_shape[0], input_shape[1]))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(3600, 3522, 1)\n",
+ "(400, 3522, 1)\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(data_training_r.shape)\n",
+ "print(data_test_r.shape)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Conv1D, maxPool1D, categorical_crossentropy\n",
+ "# model = Sequential([\n",
+ "# #Conv1D(filters=30, kernel_size=10, activation='relu', input_shape=(3522,1)),\n",
+ "# Conv1D(filters=64, kernel_size=5, activation='relu'), #mehr Filtern\n",
+ "# MaxPooling1D(4), # Größere Region\n",
+ "# Dropout(0.1),\n",
+ "# #Conv1D(filters=60, kernel_size=10, activation='relu'),\n",
+ "# Conv1D(filters=64, kernel_size=5, activation='relu'),\n",
+ "# MaxPooling1D(4),\n",
+ "# # GlobalAveragePooling1D(),\n",
+ "# Dropout(0.1),\n",
+ "# Flatten(),\n",
+ " \n",
+ "# Dense(units=64, activation='relu'),\n",
+ "# #Extra Dense\n",
+ " \n",
+ "# Dense(units=4, activation='softmax')\n",
+ "# ])\n",
+ "\n",
+ "# Am besten (schnell):\n",
+ "model = Sequential([\n",
+ " Conv1D(filters=64, kernel_size=80, strides=10, activation='relu', input_shape=(3522,1)), # stride\n",
+ " MaxPooling1D(3), #Pooling verringert Accuracy leicht aber verhindert overfitting\n",
+ " Dropout(0.35),\n",
+ " Conv1D(filters=128, kernel_size=40, strides=10, activation='relu'),\n",
+ " MaxPooling1D(3),\n",
+ " Dropout(0.35),\n",
+ " Flatten(),\n",
+ " Dense(units=128, activation='relu'), # Droput, weniger neuronen\n",
+ " Dropout(0.35),\n",
+ " Dense(units=4, activation='softmax')\n",
+ "])\n",
+ "\n",
+ "# model = Sequential([\n",
+ "# Conv1D(filters=64, kernel_size=40, strides=10, activation='relu', input_shape=(3522,1)), # stride\n",
+ "# Dropout(0.2),\n",
+ "# Conv1D(filters=128, kernel_size=20, strides=5, activation='relu'), # stride\n",
+ "# Dropout(0.2),\n",
+ "# Flatten(),\n",
+ "# Dense(units=4, activation='softmax')\n",
+ "# ])\n",
+ "\n",
+ "# Langsamer, aber auch gut (aus paper):\n",
+ "# model = Sequential([\n",
+ "# Conv1D(filters=16, kernel_size=21, activation='relu', input_shape=(3522,1)),\n",
+ "# MaxPooling1D(2),\n",
+ "# Conv1D(filters=32, kernel_size=11, activation='relu'),\n",
+ "# MaxPooling1D(2),\n",
+ "# Conv1D(filters=64, kernel_size=5, activation='relu'),\n",
+ "# MaxPooling1D(2), \n",
+ "# Flatten(),\n",
+ "# Dense(units=64, activation='relu'),\n",
+ "# Dropout(0.5),\n",
+ "# Dense(units=4, activation='softmax')\n",
+ "# ])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model.compile(optimizer='Adam', loss='sparse_categorical_crossentropy',\n",
+ " metrics=['accuracy'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# x_train = data_training_r\n",
+ "# x_test = data_test_r\n",
+ "\n",
+ "x_train = tf.keras.utils.normalize(data_training_r, axis=1)\n",
+ "x_test = tf.keras.utils.normalize(data_test_r, axis=1)\n",
+ "\n",
+ "y_train = labels_training\n",
+ "y_test = labels_test"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 1.3781 - accuracy: 0.3086 - val_loss: 1.3430 - val_accuracy: 0.5083\n",
+ "Epoch 2/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 1.2632 - accuracy: 0.4583 - val_loss: 1.0897 - val_accuracy: 0.5083\n",
+ "Epoch 3/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 1.0615 - accuracy: 0.5151 - val_loss: 0.9411 - val_accuracy: 0.5722\n",
+ "Epoch 4/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.9879 - accuracy: 0.5426 - val_loss: 0.8975 - val_accuracy: 0.5861\n",
+ "Epoch 5/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.9514 - accuracy: 0.5698 - val_loss: 0.8564 - val_accuracy: 0.6028\n",
+ "Epoch 6/200\n",
+ "17/17 [==============================] - 1s 67ms/step - loss: 0.9050 - accuracy: 0.5975 - val_loss: 0.8161 - val_accuracy: 0.6222\n",
+ "Epoch 7/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.8805 - accuracy: 0.6127 - val_loss: 0.8084 - val_accuracy: 0.6250\n",
+ "Epoch 8/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.8552 - accuracy: 0.6123 - val_loss: 0.8093 - val_accuracy: 0.5972\n",
+ "Epoch 9/200\n",
+ "17/17 [==============================] - 1s 64ms/step - loss: 0.8436 - accuracy: 0.6142 - val_loss: 0.7369 - val_accuracy: 0.6583\n",
+ "Epoch 10/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.7887 - accuracy: 0.6466 - val_loss: 0.7060 - val_accuracy: 0.6694\n",
+ "Epoch 11/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.7787 - accuracy: 0.6503 - val_loss: 0.6888 - val_accuracy: 0.6861\n",
+ "Epoch 12/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.7521 - accuracy: 0.6546 - val_loss: 0.6506 - val_accuracy: 0.7083\n",
+ "Epoch 13/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.7365 - accuracy: 0.6645 - val_loss: 0.6339 - val_accuracy: 0.7194\n",
+ "Epoch 14/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.7031 - accuracy: 0.6858 - val_loss: 0.6122 - val_accuracy: 0.7278\n",
+ "Epoch 15/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.6789 - accuracy: 0.7034 - val_loss: 0.5973 - val_accuracy: 0.7194\n",
+ "Epoch 16/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.6575 - accuracy: 0.7012 - val_loss: 0.5851 - val_accuracy: 0.7306\n",
+ "Epoch 17/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.6476 - accuracy: 0.7111 - val_loss: 0.5637 - val_accuracy: 0.7500\n",
+ "Epoch 18/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.6364 - accuracy: 0.7182 - val_loss: 0.5641 - val_accuracy: 0.7528\n",
+ "Epoch 19/200\n",
+ "17/17 [==============================] - 1s 65ms/step - loss: 0.6391 - accuracy: 0.7046 - val_loss: 0.5387 - val_accuracy: 0.7639\n",
+ "Epoch 20/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.6161 - accuracy: 0.7281 - val_loss: 0.5340 - val_accuracy: 0.7667\n",
+ "Epoch 21/200\n",
+ "17/17 [==============================] - 1s 73ms/step - loss: 0.5925 - accuracy: 0.7432 - val_loss: 0.5203 - val_accuracy: 0.7722\n",
+ "Epoch 22/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.5780 - accuracy: 0.7435 - val_loss: 0.5078 - val_accuracy: 0.7861\n",
+ "Epoch 23/200\n",
+ "17/17 [==============================] - 1s 69ms/step - loss: 0.5703 - accuracy: 0.7503 - val_loss: 0.5010 - val_accuracy: 0.8000\n",
+ "Epoch 24/200\n",
+ "17/17 [==============================] - 1s 64ms/step - loss: 0.5573 - accuracy: 0.7546 - val_loss: 0.4745 - val_accuracy: 0.8278\n",
+ "Epoch 25/200\n",
+ "17/17 [==============================] - 1s 66ms/step - loss: 0.5549 - accuracy: 0.7660 - val_loss: 0.4751 - val_accuracy: 0.8306\n",
+ "Epoch 26/200\n",
+ "17/17 [==============================] - 1s 71ms/step - loss: 0.5290 - accuracy: 0.7707 - val_loss: 0.4620 - val_accuracy: 0.8361\n",
+ "Epoch 27/200\n",
+ "17/17 [==============================] - 1s 67ms/step - loss: 0.5150 - accuracy: 0.7796 - val_loss: 0.4494 - val_accuracy: 0.8361\n",
+ "Epoch 28/200\n",
+ "17/17 [==============================] - 1s 60ms/step - loss: 0.5070 - accuracy: 0.7920 - val_loss: 0.4452 - val_accuracy: 0.8278\n",
+ "Epoch 29/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.5113 - accuracy: 0.7778 - val_loss: 0.4326 - val_accuracy: 0.8306\n",
+ "Epoch 30/200\n",
+ "17/17 [==============================] - 1s 74ms/step - loss: 0.4912 - accuracy: 0.7907 - val_loss: 0.4214 - val_accuracy: 0.8361\n",
+ "Epoch 31/200\n",
+ "17/17 [==============================] - 1s 69ms/step - loss: 0.4890 - accuracy: 0.7883 - val_loss: 0.4241 - val_accuracy: 0.8389\n",
+ "Epoch 32/200\n",
+ "17/17 [==============================] - 1s 65ms/step - loss: 0.4790 - accuracy: 0.7978 - val_loss: 0.4183 - val_accuracy: 0.8306\n",
+ "Epoch 33/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.4696 - accuracy: 0.8037 - val_loss: 0.4092 - val_accuracy: 0.8556\n",
+ "Epoch 34/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4726 - accuracy: 0.7951 - val_loss: 0.4124 - val_accuracy: 0.8389\n",
+ "Epoch 35/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.4673 - accuracy: 0.8040 - val_loss: 0.4106 - val_accuracy: 0.8278\n",
+ "Epoch 36/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.4548 - accuracy: 0.8120 - val_loss: 0.3912 - val_accuracy: 0.8583\n",
+ "Epoch 37/200\n",
+ "17/17 [==============================] - 1s 60ms/step - loss: 0.4552 - accuracy: 0.8108 - val_loss: 0.3896 - val_accuracy: 0.8639\n",
+ "Epoch 38/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.4301 - accuracy: 0.8238 - val_loss: 0.3917 - val_accuracy: 0.8694\n",
+ "Epoch 39/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.4247 - accuracy: 0.8244 - val_loss: 0.3770 - val_accuracy: 0.8500\n",
+ "Epoch 40/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.4309 - accuracy: 0.8176 - val_loss: 0.3941 - val_accuracy: 0.8667\n",
+ "Epoch 41/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4214 - accuracy: 0.8293 - val_loss: 0.3782 - val_accuracy: 0.8556\n",
+ "Epoch 42/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4034 - accuracy: 0.8386 - val_loss: 0.3708 - val_accuracy: 0.8500\n",
+ "Epoch 43/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4181 - accuracy: 0.8262 - val_loss: 0.3642 - val_accuracy: 0.8778\n",
+ "Epoch 44/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4073 - accuracy: 0.8355 - val_loss: 0.3590 - val_accuracy: 0.8722\n",
+ "Epoch 45/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.4039 - accuracy: 0.8321 - val_loss: 0.3752 - val_accuracy: 0.8722\n",
+ "Epoch 46/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3885 - accuracy: 0.8426 - val_loss: 0.3525 - val_accuracy: 0.8694\n",
+ "Epoch 47/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3901 - accuracy: 0.8395 - val_loss: 0.3627 - val_accuracy: 0.8639\n",
+ "Epoch 48/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3749 - accuracy: 0.8556 - val_loss: 0.3559 - val_accuracy: 0.8611\n",
+ "Epoch 49/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.3753 - accuracy: 0.8466 - val_loss: 0.3512 - val_accuracy: 0.8667\n",
+ "Epoch 50/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.3742 - accuracy: 0.8432 - val_loss: 0.3564 - val_accuracy: 0.8639\n",
+ "Epoch 51/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3654 - accuracy: 0.8580 - val_loss: 0.3380 - val_accuracy: 0.8750\n",
+ "Epoch 52/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.3723 - accuracy: 0.8466 - val_loss: 0.3521 - val_accuracy: 0.8556\n",
+ "Epoch 53/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.3691 - accuracy: 0.8522 - val_loss: 0.3498 - val_accuracy: 0.8667\n",
+ "Epoch 54/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.3557 - accuracy: 0.8546 - val_loss: 0.3442 - val_accuracy: 0.8583\n",
+ "Epoch 55/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.3536 - accuracy: 0.8577 - val_loss: 0.3619 - val_accuracy: 0.8639\n",
+ "Epoch 56/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.3717 - accuracy: 0.8438 - val_loss: 0.3327 - val_accuracy: 0.8833\n",
+ "Epoch 57/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.3572 - accuracy: 0.8519 - val_loss: 0.3290 - val_accuracy: 0.8833\n",
+ "Epoch 58/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3486 - accuracy: 0.8648 - val_loss: 0.3369 - val_accuracy: 0.8806\n",
+ "Epoch 59/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3481 - accuracy: 0.8574 - val_loss: 0.3293 - val_accuracy: 0.8750\n",
+ "Epoch 60/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3410 - accuracy: 0.8611 - val_loss: 0.3342 - val_accuracy: 0.8639\n",
+ "Epoch 61/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3440 - accuracy: 0.8614 - val_loss: 0.3328 - val_accuracy: 0.8750\n",
+ "Epoch 62/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3275 - accuracy: 0.8707 - val_loss: 0.3368 - val_accuracy: 0.8694\n",
+ "Epoch 63/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3245 - accuracy: 0.8744 - val_loss: 0.3440 - val_accuracy: 0.8500\n",
+ "Epoch 64/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3373 - accuracy: 0.8670 - val_loss: 0.3288 - val_accuracy: 0.8750\n",
+ "Epoch 65/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3251 - accuracy: 0.8667 - val_loss: 0.3305 - val_accuracy: 0.8722\n",
+ "Epoch 66/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3248 - accuracy: 0.8654 - val_loss: 0.3307 - val_accuracy: 0.8750\n",
+ "Epoch 67/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3148 - accuracy: 0.8660 - val_loss: 0.3181 - val_accuracy: 0.8889\n",
+ "Epoch 68/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3133 - accuracy: 0.8719 - val_loss: 0.3203 - val_accuracy: 0.8778\n",
+ "Epoch 69/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3134 - accuracy: 0.8735 - val_loss: 0.3150 - val_accuracy: 0.8889\n",
+ "Epoch 70/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3065 - accuracy: 0.8738 - val_loss: 0.3131 - val_accuracy: 0.8889\n",
+ "Epoch 71/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3129 - accuracy: 0.8722 - val_loss: 0.3134 - val_accuracy: 0.8833\n",
+ "Epoch 72/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3130 - accuracy: 0.8673 - val_loss: 0.3340 - val_accuracy: 0.8861\n",
+ "Epoch 73/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.3186 - accuracy: 0.8679 - val_loss: 0.3146 - val_accuracy: 0.8861\n",
+ "Epoch 74/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.2865 - accuracy: 0.8852 - val_loss: 0.3164 - val_accuracy: 0.8917\n",
+ "Epoch 75/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.3003 - accuracy: 0.8806 - val_loss: 0.3366 - val_accuracy: 0.8639\n",
+ "Epoch 76/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2987 - accuracy: 0.8775 - val_loss: 0.3140 - val_accuracy: 0.8944\n",
+ "Epoch 77/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2976 - accuracy: 0.8784 - val_loss: 0.3184 - val_accuracy: 0.8833\n",
+ "Epoch 78/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2845 - accuracy: 0.8910 - val_loss: 0.3200 - val_accuracy: 0.8861\n",
+ "Epoch 79/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2969 - accuracy: 0.8793 - val_loss: 0.3129 - val_accuracy: 0.8861\n",
+ "Epoch 80/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2988 - accuracy: 0.8818 - val_loss: 0.3185 - val_accuracy: 0.8778\n",
+ "Epoch 81/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2757 - accuracy: 0.8880 - val_loss: 0.3082 - val_accuracy: 0.8917\n",
+ "Epoch 82/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2869 - accuracy: 0.8833 - val_loss: 0.3094 - val_accuracy: 0.8861\n",
+ "Epoch 83/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2760 - accuracy: 0.8910 - val_loss: 0.3198 - val_accuracy: 0.8917\n",
+ "Epoch 84/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2778 - accuracy: 0.8907 - val_loss: 0.3217 - val_accuracy: 0.8889\n",
+ "Epoch 85/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2789 - accuracy: 0.8812 - val_loss: 0.3092 - val_accuracy: 0.8917\n",
+ "Epoch 86/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2838 - accuracy: 0.8827 - val_loss: 0.2983 - val_accuracy: 0.9028\n",
+ "Epoch 87/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2725 - accuracy: 0.8892 - val_loss: 0.3305 - val_accuracy: 0.8694\n",
+ "Epoch 88/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2791 - accuracy: 0.8880 - val_loss: 0.3143 - val_accuracy: 0.8944\n",
+ "Epoch 89/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2688 - accuracy: 0.8926 - val_loss: 0.3097 - val_accuracy: 0.8889\n",
+ "Epoch 90/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2803 - accuracy: 0.8938 - val_loss: 0.3037 - val_accuracy: 0.8972\n",
+ "Epoch 91/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2650 - accuracy: 0.8907 - val_loss: 0.3093 - val_accuracy: 0.8972\n",
+ "Epoch 92/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2605 - accuracy: 0.8926 - val_loss: 0.2981 - val_accuracy: 0.8944\n",
+ "Epoch 93/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2574 - accuracy: 0.8975 - val_loss: 0.3028 - val_accuracy: 0.9000\n",
+ "Epoch 94/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2559 - accuracy: 0.8966 - val_loss: 0.3667 - val_accuracy: 0.8667\n",
+ "Epoch 95/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2611 - accuracy: 0.8948 - val_loss: 0.3028 - val_accuracy: 0.8972\n",
+ "Epoch 96/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2631 - accuracy: 0.8951 - val_loss: 0.3430 - val_accuracy: 0.8667\n",
+ "Epoch 97/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.2657 - accuracy: 0.8920 - val_loss: 0.3161 - val_accuracy: 0.8917\n",
+ "Epoch 98/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.2619 - accuracy: 0.8920 - val_loss: 0.3092 - val_accuracy: 0.8944\n",
+ "Epoch 99/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2493 - accuracy: 0.9031 - val_loss: 0.3246 - val_accuracy: 0.8972\n",
+ "Epoch 100/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2468 - accuracy: 0.9028 - val_loss: 0.3030 - val_accuracy: 0.9028\n",
+ "Epoch 101/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2504 - accuracy: 0.9012 - val_loss: 0.3274 - val_accuracy: 0.8889\n",
+ "Epoch 102/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2574 - accuracy: 0.8981 - val_loss: 0.3058 - val_accuracy: 0.9028\n",
+ "Epoch 103/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2355 - accuracy: 0.9096 - val_loss: 0.3169 - val_accuracy: 0.9000\n",
+ "Epoch 104/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2502 - accuracy: 0.8994 - val_loss: 0.3188 - val_accuracy: 0.8944\n",
+ "Epoch 105/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2394 - accuracy: 0.8997 - val_loss: 0.3115 - val_accuracy: 0.8833\n",
+ "Epoch 106/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2507 - accuracy: 0.8991 - val_loss: 0.3155 - val_accuracy: 0.8972\n",
+ "Epoch 107/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.2401 - accuracy: 0.9040 - val_loss: 0.3170 - val_accuracy: 0.8917\n",
+ "Epoch 108/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2375 - accuracy: 0.9049 - val_loss: 0.3126 - val_accuracy: 0.8917\n",
+ "Epoch 109/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2314 - accuracy: 0.9062 - val_loss: 0.3085 - val_accuracy: 0.8972\n",
+ "Epoch 110/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2366 - accuracy: 0.8991 - val_loss: 0.3233 - val_accuracy: 0.8972\n",
+ "Epoch 111/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2429 - accuracy: 0.9019 - val_loss: 0.3152 - val_accuracy: 0.8944\n",
+ "Epoch 112/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2274 - accuracy: 0.9056 - val_loss: 0.3214 - val_accuracy: 0.8972\n",
+ "Epoch 113/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2451 - accuracy: 0.8985 - val_loss: 0.2960 - val_accuracy: 0.9056\n",
+ "Epoch 114/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2190 - accuracy: 0.9164 - val_loss: 0.3150 - val_accuracy: 0.8944\n",
+ "Epoch 115/200\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2218 - accuracy: 0.9108 - val_loss: 0.3130 - val_accuracy: 0.9000\n",
+ "Epoch 116/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2349 - accuracy: 0.9059 - val_loss: 0.3216 - val_accuracy: 0.9056\n",
+ "Epoch 117/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2250 - accuracy: 0.9074 - val_loss: 0.3121 - val_accuracy: 0.9000\n",
+ "Epoch 118/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2269 - accuracy: 0.9114 - val_loss: 0.3161 - val_accuracy: 0.9000\n",
+ "Epoch 119/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2140 - accuracy: 0.9188 - val_loss: 0.3054 - val_accuracy: 0.9028\n",
+ "Epoch 120/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2294 - accuracy: 0.9105 - val_loss: 0.3079 - val_accuracy: 0.9028\n",
+ "Epoch 121/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2129 - accuracy: 0.9148 - val_loss: 0.3043 - val_accuracy: 0.9056\n",
+ "Epoch 122/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2100 - accuracy: 0.9164 - val_loss: 0.2990 - val_accuracy: 0.9056\n",
+ "Epoch 123/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2240 - accuracy: 0.9099 - val_loss: 0.3062 - val_accuracy: 0.9083\n",
+ "Epoch 124/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2029 - accuracy: 0.9198 - val_loss: 0.3197 - val_accuracy: 0.9028\n",
+ "Epoch 125/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2191 - accuracy: 0.9151 - val_loss: 0.3415 - val_accuracy: 0.8861\n",
+ "Epoch 126/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2172 - accuracy: 0.9157 - val_loss: 0.3101 - val_accuracy: 0.9028\n",
+ "Epoch 127/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2096 - accuracy: 0.9201 - val_loss: 0.3079 - val_accuracy: 0.9056\n",
+ "Epoch 128/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2144 - accuracy: 0.9204 - val_loss: 0.3052 - val_accuracy: 0.9111\n",
+ "Epoch 129/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2030 - accuracy: 0.9219 - val_loss: 0.3147 - val_accuracy: 0.9056\n",
+ "Epoch 130/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2139 - accuracy: 0.9179 - val_loss: 0.3202 - val_accuracy: 0.9028\n",
+ "Epoch 131/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2085 - accuracy: 0.9170 - val_loss: 0.3140 - val_accuracy: 0.9056\n",
+ "Epoch 132/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2038 - accuracy: 0.9142 - val_loss: 0.3125 - val_accuracy: 0.9083\n",
+ "Epoch 133/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1889 - accuracy: 0.9250 - val_loss: 0.3275 - val_accuracy: 0.9056\n",
+ "Epoch 134/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2052 - accuracy: 0.9167 - val_loss: 0.3146 - val_accuracy: 0.9028\n",
+ "Epoch 135/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1990 - accuracy: 0.9185 - val_loss: 0.3174 - val_accuracy: 0.9028\n",
+ "Epoch 136/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1992 - accuracy: 0.9228 - val_loss: 0.3207 - val_accuracy: 0.8972\n",
+ "Epoch 137/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2169 - accuracy: 0.9114 - val_loss: 0.3221 - val_accuracy: 0.9000\n",
+ "Epoch 138/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2113 - accuracy: 0.9157 - val_loss: 0.3446 - val_accuracy: 0.8944\n",
+ "Epoch 139/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.2003 - accuracy: 0.9235 - val_loss: 0.3408 - val_accuracy: 0.9056\n",
+ "Epoch 140/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.2036 - accuracy: 0.9182 - val_loss: 0.3244 - val_accuracy: 0.9028\n",
+ "Epoch 141/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1921 - accuracy: 0.9235 - val_loss: 0.3062 - val_accuracy: 0.8972\n",
+ "Epoch 142/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1994 - accuracy: 0.9170 - val_loss: 0.3157 - val_accuracy: 0.9028\n",
+ "Epoch 143/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1997 - accuracy: 0.9235 - val_loss: 0.3079 - val_accuracy: 0.8917\n",
+ "Epoch 144/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1837 - accuracy: 0.9287 - val_loss: 0.3026 - val_accuracy: 0.9000\n",
+ "Epoch 145/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1932 - accuracy: 0.9216 - val_loss: 0.3134 - val_accuracy: 0.8972\n",
+ "Epoch 146/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1842 - accuracy: 0.9269 - val_loss: 0.3200 - val_accuracy: 0.9000\n",
+ "Epoch 147/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1933 - accuracy: 0.9235 - val_loss: 0.3142 - val_accuracy: 0.9056\n",
+ "Epoch 148/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1925 - accuracy: 0.9281 - val_loss: 0.3178 - val_accuracy: 0.8972\n",
+ "Epoch 149/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1781 - accuracy: 0.9318 - val_loss: 0.3128 - val_accuracy: 0.9111\n",
+ "Epoch 150/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1897 - accuracy: 0.9278 - val_loss: 0.3126 - val_accuracy: 0.9056\n",
+ "Epoch 151/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1934 - accuracy: 0.9198 - val_loss: 0.3234 - val_accuracy: 0.9056\n",
+ "Epoch 152/200\n",
+ "17/17 [==============================] - 1s 55ms/step - loss: 0.1879 - accuracy: 0.9269 - val_loss: 0.3099 - val_accuracy: 0.9000\n",
+ "Epoch 153/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1894 - accuracy: 0.9265 - val_loss: 0.3295 - val_accuracy: 0.8722\n",
+ "Epoch 154/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.1953 - accuracy: 0.9216 - val_loss: 0.2980 - val_accuracy: 0.9056\n",
+ "Epoch 155/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1855 - accuracy: 0.9238 - val_loss: 0.2958 - val_accuracy: 0.9250\n",
+ "Epoch 156/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.1836 - accuracy: 0.9281 - val_loss: 0.3046 - val_accuracy: 0.9139\n",
+ "Epoch 157/200\n",
+ "17/17 [==============================] - 1s 68ms/step - loss: 0.1887 - accuracy: 0.9231 - val_loss: 0.3211 - val_accuracy: 0.9028\n",
+ "Epoch 158/200\n",
+ "17/17 [==============================] - 1s 63ms/step - loss: 0.1713 - accuracy: 0.9302 - val_loss: 0.3123 - val_accuracy: 0.9000\n",
+ "Epoch 159/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1809 - accuracy: 0.9265 - val_loss: 0.3141 - val_accuracy: 0.8972\n",
+ "Epoch 160/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1838 - accuracy: 0.9238 - val_loss: 0.3185 - val_accuracy: 0.8917\n",
+ "Epoch 161/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1857 - accuracy: 0.9265 - val_loss: 0.3091 - val_accuracy: 0.8917\n",
+ "Epoch 162/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1646 - accuracy: 0.9370 - val_loss: 0.3189 - val_accuracy: 0.8944\n",
+ "Epoch 163/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1727 - accuracy: 0.9343 - val_loss: 0.3078 - val_accuracy: 0.9111\n",
+ "Epoch 164/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1828 - accuracy: 0.9213 - val_loss: 0.3179 - val_accuracy: 0.8972\n",
+ "Epoch 165/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1834 - accuracy: 0.9256 - val_loss: 0.3077 - val_accuracy: 0.9083\n",
+ "Epoch 166/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1757 - accuracy: 0.9330 - val_loss: 0.3122 - val_accuracy: 0.9083\n",
+ "Epoch 167/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1737 - accuracy: 0.9281 - val_loss: 0.3292 - val_accuracy: 0.8972\n",
+ "Epoch 168/200\n",
+ "17/17 [==============================] - 1s 61ms/step - loss: 0.1750 - accuracy: 0.9321 - val_loss: 0.3208 - val_accuracy: 0.9056\n",
+ "Epoch 169/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1817 - accuracy: 0.9262 - val_loss: 0.3290 - val_accuracy: 0.9000\n",
+ "Epoch 170/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1665 - accuracy: 0.9293 - val_loss: 0.3259 - val_accuracy: 0.9056\n",
+ "Epoch 171/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1622 - accuracy: 0.9367 - val_loss: 0.3200 - val_accuracy: 0.9028\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 172/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1635 - accuracy: 0.9364 - val_loss: 0.3218 - val_accuracy: 0.9028\n",
+ "Epoch 173/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1718 - accuracy: 0.9352 - val_loss: 0.3616 - val_accuracy: 0.8833\n",
+ "Epoch 174/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1665 - accuracy: 0.9346 - val_loss: 0.3365 - val_accuracy: 0.8944\n",
+ "Epoch 175/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1663 - accuracy: 0.9340 - val_loss: 0.3427 - val_accuracy: 0.9000\n",
+ "Epoch 176/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1773 - accuracy: 0.9272 - val_loss: 0.3385 - val_accuracy: 0.9028\n",
+ "Epoch 177/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1653 - accuracy: 0.9343 - val_loss: 0.3369 - val_accuracy: 0.9000\n",
+ "Epoch 178/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1537 - accuracy: 0.9407 - val_loss: 0.3264 - val_accuracy: 0.9000\n",
+ "Epoch 179/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.1624 - accuracy: 0.9395 - val_loss: 0.3173 - val_accuracy: 0.9028\n",
+ "Epoch 180/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1625 - accuracy: 0.9364 - val_loss: 0.3581 - val_accuracy: 0.8944\n",
+ "Epoch 181/200\n",
+ "17/17 [==============================] - 1s 57ms/step - loss: 0.1678 - accuracy: 0.9321 - val_loss: 0.3434 - val_accuracy: 0.8972\n",
+ "Epoch 182/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1696 - accuracy: 0.9346 - val_loss: 0.3318 - val_accuracy: 0.9000\n",
+ "Epoch 183/200\n",
+ "17/17 [==============================] - 1s 59ms/step - loss: 0.1680 - accuracy: 0.9340 - val_loss: 0.3310 - val_accuracy: 0.8944\n",
+ "Epoch 184/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.1645 - accuracy: 0.9333 - val_loss: 0.3367 - val_accuracy: 0.9000\n",
+ "Epoch 185/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1539 - accuracy: 0.9401 - val_loss: 0.3510 - val_accuracy: 0.9028\n",
+ "Epoch 186/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1569 - accuracy: 0.9392 - val_loss: 0.3403 - val_accuracy: 0.9028\n",
+ "Epoch 187/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1567 - accuracy: 0.9386 - val_loss: 0.3411 - val_accuracy: 0.9000\n",
+ "Epoch 188/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1662 - accuracy: 0.9373 - val_loss: 0.3318 - val_accuracy: 0.9111\n",
+ "Epoch 189/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1752 - accuracy: 0.9299 - val_loss: 0.3545 - val_accuracy: 0.9139\n",
+ "Epoch 190/200\n",
+ "17/17 [==============================] - 1s 62ms/step - loss: 0.1744 - accuracy: 0.9302 - val_loss: 0.3519 - val_accuracy: 0.9028\n",
+ "Epoch 191/200\n",
+ "17/17 [==============================] - 1s 60ms/step - loss: 0.1640 - accuracy: 0.9330 - val_loss: 0.3248 - val_accuracy: 0.9083\n",
+ "Epoch 192/200\n",
+ "17/17 [==============================] - 1s 58ms/step - loss: 0.1603 - accuracy: 0.9392 - val_loss: 0.3411 - val_accuracy: 0.9056\n",
+ "Epoch 193/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1682 - accuracy: 0.9318 - val_loss: 0.3369 - val_accuracy: 0.9000\n",
+ "Epoch 194/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1665 - accuracy: 0.9340 - val_loss: 0.3204 - val_accuracy: 0.8972\n",
+ "Epoch 195/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1571 - accuracy: 0.9330 - val_loss: 0.3622 - val_accuracy: 0.8861\n",
+ "Epoch 196/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1575 - accuracy: 0.9392 - val_loss: 0.3391 - val_accuracy: 0.8889\n",
+ "Epoch 197/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1504 - accuracy: 0.9423 - val_loss: 0.3458 - val_accuracy: 0.9028\n",
+ "Epoch 198/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1582 - accuracy: 0.9346 - val_loss: 0.3595 - val_accuracy: 0.9000\n",
+ "Epoch 199/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1479 - accuracy: 0.9404 - val_loss: 0.3747 - val_accuracy: 0.9000\n",
+ "Epoch 200/200\n",
+ "17/17 [==============================] - 1s 56ms/step - loss: 0.1452 - accuracy: 0.9432 - val_loss: 0.3308 - val_accuracy: 0.9000\n"
+ ]
+ }
+ ],
+ "source": [
+ "history = model.fit(x_train, y_train,\n",
+ " epochs=200, validation_split=0.1,\n",
+ " shuffle=True, batch_size=200,\n",
+ " verbose=1)\n",
+ "\n",
+ "# model_handler=Model.Model(shape=(height_dim,height_dim,lc_dim,1))\n",
+ "\n",
+ "\n",
+ "#model3 = tf.keras.models.load_model('spectral_classifier_v2.h5')\n",
+ "# model.save('spectral_classifier_v2.h5')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 5) Auswertungen"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def plot_accuracy(name, ylim=[0,1.01]):\n",
+ " plt.plot(history.history['accuracy'])\n",
+ " plt.plot(history.history['val_accuracy'])\n",
+ " plt.title('model accuracy')\n",
+ " plt.ylabel('accuracy')\n",
+ " plt.xlabel('epoch')\n",
+ " plt.ylim(ylim[0], ylim[1])\n",
+ " plt.legend(['training', 'validation'], loc='upper left')\n",
+ " plt.savefig(name)\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def plot_loss(name, ylim=[-0.5,2]):\n",
+ " plt.plot(history.history['loss'])\n",
+ " plt.plot(history.history['val_loss'])\n",
+ " plt.title('model loss')\n",
+ " plt.ylabel('loss')\n",
+ " plt.xlabel('epoch')\n",
+ " plt.ylim(ylim[0],ylim[1])\n",
+ " plt.legend(['training', 'validation'], loc='upper left')\n",
+ " plt.savefig(name)\n",
+ " plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plot_accuracy(\"accuracy_graph.png\")\n",
+ "plot_loss(\"loss_graph.png\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<tf.Tensor: shape=(4, 4), dtype=int32, numpy=\n",
+ "array([[76, 17, 3, 0],\n",
+ " [14, 83, 5, 2],\n",
+ " [10, 7, 83, 1],\n",
+ " [ 0, 3, 4, 92]])>"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn.metrics import confusion_matrix\n",
+ "\n",
+ "predictions = model.predict(x=x_test)\n",
+ "rounded_predictions = np.argmax(predictions, axis=-1)\n",
+ "\n",
+ "cm_labels = range(4)\n",
+ "cm = confusion_matrix(y_true=y_test, y_pred=rounded_predictions)\n",
+ "\n",
+ "tf.math.confusion_matrix(\n",
+ " labels=y_test, predictions=rounded_predictions, num_classes=4, weights=None, dtype=tf.dtypes.int32,\n",
+ " name=None)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Untersuchung der falsch klassifizierten Spektren"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**Label 0 = AGN** \\\n",
+ "**Label 1 = galaxy** \\\n",
+ "**Label 2 = QSO** \\\n",
+ "**Label 3 = star**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "400 richtig\n",
+ "52 falsch\n",
+ "87.0% richtig klassifiziert\n"
+ ]
+ }
+ ],
+ "source": [
+ "predictions = model.predict(x=x_test)\n",
+ "rounded_predictions = np.argmax(predictions, axis=-1)\n",
+ "\n",
+ "wrong_predictions = []\n",
+ "\n",
+ "for i in range(len(rounded_predictions)):\n",
+ " if rounded_predictions[i] != y_test[i]:\n",
+ " wrong_predictions.append(numbers_test[i]) \n",
+ "\n",
+ "wrong_predictions.sort()\n",
+ " \n",
+ "print(len(rounded_predictions), \"richtig\")\n",
+ "print(len(wrong_predictions), \"falsch\")\n",
+ "print(str(((len(rounded_predictions)-len(wrong_predictions))/len(rounded_predictions))*100) + \"% richtig klassifiziert\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[16, 20, 29, 89, 238, 291, 338, 347, 413, 427, 459, 461, 462, 566, 604, 632, 744, 752, 757, 866, 934, 944, 991, 1248, 1251, 1303, 1337, 1495, 1530, 1586, 1615, 1655, 1683, 1687, 1704, 1717, 1838, 2035, 2187, 2210, 2304, 2457, 2459, 2531, 2745, 2768, 2784, 2832, 3043, 3117, 3247, 3823]\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(wrong_predictions)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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MAGZXbOLlT1fFPjBJksFSZjzjAEaISC/geOBeEekGfAi8CXygquktsxhDXUng7tc/Z8m6Sr5cu40De7RN7T2ypQjQCKlqxC60L81Zxffb94Td9+rcb3lu1jdcGdLt0ydVJYDl6+vXta+J0NZy5sMzADh9WPek7hWrwfp/81cndd1UiKsRWFW/VtWHVfVU4FDgf8BRwDQRsWkTTdr5/qfE/zr1qXWmR6Bm+v5eKS6MnOxs3r6HnXtq+fPbX4WtGqlxP+eGPjNf/OQs/9+B352qXeG7YfrUhimhhJpVsSkog4l1yrQlG2Je0yuJ9AICQFX3AJ8B/1LVkbijdI2JJRVpdOg1fE+ZXiSVmS4B1N2/8VV4R3vvigqTj48vAW5oCWBPTfhW5OooqfXsik30vfkNZq6IPrPNWQ/P4Ig/f+B/nc1jVhIZCFbuDgRrD8wDnhSRv6jqt94Fz5hgGvLb95To5T/ZBY9/wtg/Rl7Ew2u+OFbtqmZD5S5UlXkrv89YeOKxbWfkJ+mGtNf40ue7P97J795cnPR1kvm6fLh0Q9DvWO595ytqajVmCSCTEikBtHEHgp2OMw5gOE41kDFppyFVAV6k/75rTluyga83Zn4Zv+P/No0Rv3mHZ2eu5JQHp/PeF5kZuRqPX7wwl8emLefKZz6tt++B95fGdY1wjaO1AR/0Ix8sZ2NlfE2Qqsqsik3+703E6rV4vkdxftnufWcJ97+3JCjM2SaRDKDIHcF7NvC6R+ExJi51JQDvqoAyadXm7fXi9I27luxSd7DQ8vWJzZNfU6us/j64583OPTWc9fBHLFq9JemwhvPNpu38ZtJiJi1Yk/Q1AjOKzVW7OeD2t1i0emvQMb4VtmYs20jvGydFLBm9OGcVZz08g9fdhd4jpcnR2l1i9dZZs2VHvZLo4jVbwx6b7hG/kSSSAdyFsyrYUlWdJSJ9gSXeBMvkpNQMBAjiaQkgQ9nKR0s3cNjv3+e1uU7tamiy46tDj1ZfHc5f3/6KQye+x+rvd7Bl+x4em7acT7/ZzKyKzdz5v89TEXS/wBGtserM4zH7681Uhmmg9X1G5V+uA2DG8o1hz1/mNsqu3LzdPS+8ZDOsz1dv5ZDfvcdvJtWvlgpXAnhpjnfdShMRdwagqi+q6mBVvcJ9vVxVz/AuaMbUt9ttvPOtEuVlG0CmSu6fu0+N81aGfyovdFtAw/WZj2bqEmfmzfXbdvHrVxfym0mL+Xi5kzinopl5XYT1dc9+ZEaDrx3p8w19CyJ9Zr7G4y3b91CxoSriiNtbXkluPiDf9/F9NyPyeWvRWgbe9lZS10yHuKeCEJH7wmzeAsxW1VdTFyRjYrv1vwuZfM0Yf7Hck15AHlwzIRFS5YYm1gps2eH0w9+1x2mQ3bmn4QPpHp++osHXiCTSZzF64ntMuuow/5sSqdTm6/TzyNTlPDJ1ecrD53sQaVJUmPJreymRKqCmwIE41T5LgMFAe+BHInJvykNmco4XVSp1JYCUX5p/ffx10OvAuesDrdu6kymLUrdsYehgp6UhE4Q9Ob0CiPxUfNRfPuCPb30R8frTA3qx+O41b1VwaWPbzj3MXfk9L8xaybad4QdtAfzqpXn8yR2pW1PjXZYZ7fN9YdbKmMdFa4j1tQs0hC9TbmxTVCSSAfQHjlDV+1X1fpweQPvhTOd8jBeBM/mnplb585Qv2VQV3wToXlYBTXzzC7YEjFi98ImZYY8759GPmfB/cxKukvFZum4bR/ypnE1Vu9m5p4Z1W53qCV/p5pMVm7jllQX+43e4T+s1tTDn6+CF9FZu2s7SdZU8+P6yiPf741tf+jOBSG/b1c/N5dQHp/Or/8znmufmRrzWC7NX+Rtra6J8Bmc89FHEffH4y9tfRt3/yAfRn+qjfTYT34ycWQZaty3yrKy+zgjJfgcyJZHZQLsBLXCqfXD/7qqqNSJi00GYlJi6ZD33v7eU5eurePD8YRGPqxsJ7G0voFhd+L74bivL3frfZGcP/Xv5MpZvqOLdxWu5+ZUF/p4tgZ755Jsw5y3lr+98xc2jmlLmbvsgQikFCOoB5EuoXpi9st5xvW8MHty/YmP93kb/mbOKHu2Dl3D0lUzCCc2oEvXV2oZNk5xog3k4vs8g3JV8DyK5nAH8AZgrIuU43/IxwD0i0gJ4x4OwmTzkmw0yVp20rzrJyyqgwOuHU7WrmuPuneZ/nez/fmD3wsDEf0eM92BXtVOxvXmn8r95q/n5s59x1ZED/Pu/3ljFPz/6mtH9O1Bdq2yorF+q2hplwJZPaHfTLTv2cF1IN8a3UlgF1hCBJcEdu2tYuXk7e5e2imsKh3it27qLeSu/Z0jA3FO+26Z7Pv+GiisDEJECYDHOPEAjcTKAm1XVN4vRL70Jnskl8STS/gFeMR6k/SWAGI1/DTW7IvKTa2gmFam0sLlqN6/PX80PD+4VdoK0XdUNa4BVhTteWwTAkrXb/NvH/rEcgCdS0DhbW6sUuBXc170wt97+n/zfnAbfI1mB73rgR3DFM3N4/8v1XDmuH8+HKekk6/nZK3l+9koqJo73b/vbu42zR3y8k8HVAn9W1TWq+qqq/jcg8TcmrC3b91AdYc6V2IITyqpd1UEJpX8gmK8KKEXp/wWPfxL0+rKnI89fH3rLb7+vP70xOIN+bn11kb97p8/KTdvpfeOkBjdCvlmxh41um8mbC715Et8d8Dl+GZDJZIPAz766Vpm2ZD2q6p+yIVp7SEMEVpVFGvCVSis3pX40eiKNwFNE5AyJNMeryTvvfL6WXdU1/i6Fgaprahly1xRuDmi8bIj9b3+LE+/70P/aV1KId16WaHZX1/obe2PNzPjzZz9jq9srJrS+96i/fFDv+LcWfce7Xzh9wy94fCZPTl/Bo1OXsblqN9c+Pzfo2KVhpiiOx9dbvV8ea3dNLdU1tWzfXR11np9M+9u7S7jg8Zn8fvKXaamPf3Xut/XaTLzixfueSBvAL3AafmtEZAfOI5qqauuUh8pkvTlfbwp6On760pGM2buT/7WvR8iLEUY8fvndNvYubYmIsKemlgG3vMlPx/ZjaM+2Ee8ZWL+ayjr/H/1zFtOWbAgq0kfyv3mr2VNdy8MXDGd3dXDCGxqmgbdNZnvAxGebqnb7R9xOW7KB2SENo7F6smTSnIrNXPLUrNgHZsDm7fXbNh7+wJun/lBXR+khlWqFHvQxTWQkcCtVLVDVYlVt7b62xD9PvDh7ZdDi5Jurgp/6QxMz38pNgYni0LvfpveNkzjiT+Uce+9UbvyPUzrwdfl8+INl/p4qvnLmzj01cRV9GzLhVqLzsU9e9B1btu/h8D/UnyG0clc1A2+bzKtzvw1K/Bt6z0z7eEX4KRayQSr68TcGUZZRSFoi00GLiPxQRG51X/cQkZGpD5LJNlt27OGXL80Pqh+PVREYrU+4r9ukr2Eu8FDfE/L23dW8teg79r11ctiENvTqvgxg4YYa/6yPG+KYKfLVuXWzmY+/b1qUI+uUFBUw5K4pYfcNuuMttu+uSeuTYTq8uSA7evnkswIPat8TyVP+DhwCnOe+rgQeTHmITNbxNeTGSlBVlTcXrKHvTZO44aX4l4uO1IMnWs+SFRuq+GhZwIhWt8Txp9k7OevhGTw/ayUjfvNO1Ma5zVW7gxLq0JkmIzlqv84R92XxzL8N8o0HDZAmMZnOAEap6pXATgBV3QyUpDxEJmvFav9/esbXXP7Mp9Rq/LMqLl9fSWWYxq14Fso+7x+fsFfrpkD9Esc0t3E4Wr/sZAcHWT8IkwmZzgD2iEghbulbRDoB3nc/MBlX1+WyTuh38Y0Fa7jd7YueiCP+/AE/DOl6CYmPqKzcWR00p73vn+WLKCWAZMcOzP3m+6TOS5Vfj98vo/c3meHFc0ciGcB9wCtAZxH5LfAhcE/qg2SyTW3A4Kx5K78P2ygbOmFZItZurV+15Ju3PZbv3CmIr3txHuMDuon6/lf+Xr6s3iIo4GQwf3snucE7kfr7e61psfPvetKQrg26znH775WK4JgckEgvoGeAXwG/A9YAp6rqi14FzGQR90F5Q+VuTnlwethG2VRbtblhiexr8+rGKU4PM1bgmL9+EHZ+nWzmK9XE2x3w5SsODbv94QuG88xlo1IWLtN4JdSxSFW/UNUHVfUBVU1+RWbT6MVTR58twtXZL0twOcV0euEnh4Td3q1tMwCaFhfyxlWH89cfDKFlk8hDeYoa29zEHiht3YTxg7pw4SG9Mh2UrORBz9JgIvKEiKwTkYUB29qLyNsissT93c7rcJjkhaspv/q5z9IejmRd/+I8Vm3enpJFT1Jp4umD/H8P6d7G/3ebZsVUTBxfb2DaIxcM549nDqZlkyIGdm3NaUO707Z5sX9/x5ZNgo7v16klD50/jAsP6cU7vxgbtK8hvZUmnj6Iqb8cF/O4iw7pxXmjevLgecN4//qy5G/YAFOuHcuD5w/jZ+P6Z+T+kUTrSZZOnmcAwFPAcSHbbgTeVdUBwLvua5Olwg2yimcWyWxy2O/f58yHP2JthGULk9GlTVOuO3rvqMd0btUk4r5zRvakVwdnSuVXf3aYf/vepS3DHt+3U0vOGtEjaNvGgBk+372uLpF//eeH0aJJEccP6sJdpxxA/84tOXLfzpxzkHN+QybPO2dkT3p2aB7zuGuO2pt7ThvE+MFd6NOxBX84Y3DY42bcdETSYYmlTTMng4zWc+vWEwd6dn+A3mHeq/vOHZrwdVpEKe0ly/MMQFWnAqGrQp8C/NP9+5/AqV6HwyQvV/q2L/x2K6PueZeKDclV/4Q+Re7ftQ0j+7SPes6kqw5n+T0nRNz/5tWHM/e2o4O2JdLN1FcCGNildVB10AHd2tQ79vGLD2KimwiH+0xbJZjA3HOaU4L556V140GHBUzlEXqL04d1q3eNl356CO2ap7Y3edPiAsr26cSpB9Y1lkerDSspTH1V2U/G9OX+c4dyywn7MeXasTx58UH+fV3bNKV5SeKJefsWqe91HzMUIrIJeBl4FnhPU7P0UqmqrgFQ1TUikh3lIRNkY+UuHpm6nAsOzq3603h7GIX6+ZH9/atfAdx7zoFRu5n6FISkPm9dM8Y/gV7zkiJ86d/Tl46keUnwmrJvXHU4J0QZoTyke1vWbPmOkqICf+Pwz4+IXd0RrlR33sE9E5qP6NyRPRjeqx377NXKv61tQGIeeo9w/dhH9G7PniRmjC1tLqzdHjkpeuqS4EkKfPduUVJIVegUHR70r7zo0N50ddtsAMbtW5fE/eOiESm/X7LiyYbWA3OBu4CnReQl4FlV/djLgPmIyARgAkBpaSnl5eVJXaeysjLpcxureONcq8rUVdUc1q0oqOHw/s92MmdtDU9Pz95JypLx2dx5sQ8KY/q0qf6/T+hTzOwZH8acg2j6R9Np2yS4oL3mC2eEc/nX9Y+vBMorwl8r3Ge5ZZNTpbWjcivl5eU8dVwLYA3l5dEH4s1fX78Kb1TT73gk6lnQoanUC8eagBUVN2ysmzPow+n14x6oeZETp0TGfJy7bwmHdSuiqqqKlbuacv9nThficT2KOLlfMdeW76C2prZeGKv2OPeoqanh2F5FvPV1XfyXfPVV3PeP1+xPPqZ1k/AZy5zZs1nfOjijH921iOmro1erepF+xZMBVKnqA8ADItITOAf4u4i0BZ5T1ZuTuO9aEeniPv13AdZFOlBVHwUeBRgxYoSWlZUlcTvnzUv23MYq3ji/NGcVTy2aR7suvbn6iLoVpW746B2ghp3Z1XbaYAcMGgRzIs/zH8kR48bR7L3J7NhTw4VHD+fgvh0AOHfzfJ6duZKDerfjt6cN4pi/1mUUhx5yKJ1bN4XJzpTBE8b0pawssYFcL/TaxCfLN1JWNqDevskb5zNjzUo6d2xPWVn8XTv1y3Uwp252z71aN+WIcePgrfBTG//y2H24oqxf5OopN37t27eH9evZq3VTTj56XL3SD5MnUVJUwO7qWkpKiikrK3Om9p7yBj88uCf/+tjpmvufyw/hjIdm1LvNKWOGcXDfDpSXl3N2WRlvrCpn2foqbj7zULq3a8615ZORgoJ63/utO/fAu1MoKiri5NGDeevrT/379tlnb/h8Icm6/aSBLFtf6Q87wNjDD6NNQAN94Hs0fMQI9u/axv8a4MhhezN99edR7+NF+hVPG4D/E1TVb1T1D6o6DDgeSHYt4NeAi9y/LwJeTfI6WaWmVhl299u8FGEK5GxV6c5vv7Eq+OMMN0ArF4RbvyCaf1w4gktG9wZgkFu3Hpis+QoBpw/rzt6lrYLO9T3b/mRsX6CuUTIRI/u05+dH1k/8wekSCtCkKMHmPDdgHVqUMO/2Y3jv+rFRD2/drDiutgnfezHxjEH1E39g6W+PZ/oNwY2+IkLFxPH85tS6XlHDe7Vn1i1Hxbxf8HXiO2784C6cN6pn3XkN7NJ8WP+O9ba1bFr/2Xq/Ls7kydnUphbPtybsqB9V/VJV74x1sog8C8wA9hGRVSLyI2AicLSILAGOdl83ejv31LCpaje3/jf5p4lM8NUdT/ZoNalsE+/CGleU9ePOk/fn6IGl3H7S/gD8+ewhnDuyJ8N71fVc9lUDhWto9P+zu79TPad7iZvwlySYAfh6AQ3q3oY2zYr9jZJf3B3aYc/Rsklh2O0+h/ZzSkN1o8bDx7OosMD/PiX6TnRr2yxs47ZPSWEBnVs18TdOR7NPQEbd0CaA7u2Ce/n06dgi7Occ6TYH9mjrD8MZw7o3LDAJilkFpKq/aMgNVPXcCLuObMh1s5F/zpxGOv5m3ba6J37fHP25KHDh9Wh6tm/OOSN7Bm3r0b45vzs9OIE5tF9HXpi9yv+EF6h1M+dfLFom0RC+71pJgpPF+2ZPDW2Y9ZUoAIoLhf/9/DCmL93IyUPq9+AJ9MTFB7Flxx5+/qwzPiRaiaTu/6T+m3HT8fvSzu3tEthV9b5zh3JyjCkwCgqEmRFKDb47hcsoA0Pxp7OGcH3Igvehplw7xl/N99yEg2lWUhhUirjj5P2jnh+O70GhVZiSg5cadDcRuU1V70pVYBo7/4LmGQ5HKvz7kzAtlDkimV4n0Zw6tBtj9+7kT7h8lt9zgr8a5Mdj+vLl2krODunH31C+hKdJUfQn9FDhJvgLuq7Akt863Vf33Sv2uk9NiwtpWlzIDreHTbPiyOHxJXbh7v2Tsf3qbevYsknExL9/55YsW19Fs5Lo8W/VtJhrjhrA+EFdoh535vDuMTOAnu3rnvh9GYovL7vz5P0ZG7AyXqBID4aZfGBs6DiAy1ISihzhe6rKlumCt+xS3v8iYvs64CSGt4WZxXNXdeOf6PXZHx8cdvvEN78Iu70hQhN/CO7+2blVU56+dGRQN8lUeM1d0Gb5huQm4wv3Vf33ZaPiGukbzjVHDaBZcSH9O4cfzAZOu8Nx++/FIxcMT+oegf589oH889KR9aphwodtbwa4VT+B8U7037WoQPjs1qO59cSBDO3RNrGTI4gVhv5tvRmyFc84gEgdnQVoFmFfXqoJmDUzFTZV7WbNlh1Oj4EkXP3+dmAWD5w3lBMHBz9BvblgDZc/8ymXjO4d1Ci1dF0lj05dxguzk2/IblZcyI4o0y78/Ij+3P/e0nrbP731aLbt3MPYP5Ynfe9AHVtmbrmKwwfUbxj0wmp3mc5ZFZtjHBks2nCeQ8M0asbryP1KWRyhHcGnoEB4OJ7EP46aupZNiiI+cccr3kbgCw/pxbH770VRYQHtWpTwo8P6JHYf9zaJNgI/++OD2VoR/wJLiYgnW/keGOCuAxz40wpnVlDjqnaLAKl6/j/xvmlBUxxv3bmHWRXBg6oXfruFp2dURL3Ol99tq7ftdXfBlienB59788sLkkr8WwQUwZ+bEP7J2+fqMD1azh3Zk/YtSmIW5X26tGkadb/TZTGuS6Xc53cdyxMBIz+9VNramWri9pMSm86gLg3KjtJqNF58jhLxRWTtmpcwugGZoy+jCZ2GI7hHWf3cobR1E5p4MFoZ4msDeBroBawNs+/fqQ1O45bqKiDf092WHXto06yYUb99lx17aphx0xH84JGP+fv5wzjxfieDuPCQ3hGv4wuNqrLg2y0M7t424upCu5OsH4+2BnCoosICDujWmoXfbuXJSw6iU8sm/t4dtTFuP6R7G+at2kJRjH+IXx23b4PWKID6I3jjlcww/2QVFTjPcEftV5rQeb567FExprLIpI4tm3DuyJ6cP6pn7IMbIN5POTWTICQeBi+rlOPpBfTrKPtuSG1wGrdUVwH5DLlzChUTx/urVaZ9tYFvNm33J/6xTF2ygVkVm+nbqQXPfPINj1wwPOIXbsna+qWFeMRKuCPp2KJJUNe+aBlJ7w7NGdqzHfNWbaG4IHbhtaE9bgqzpC3HC/t1ac3UX46jR/vsrcUtKJB6Pa5SJTBRjTeBDZzOoSGi5SPhdnn5LUyqZUFE7khxOHJCbW129gKau/J7Zizf6F8AZcWGqoiJY715UuIUmHAHzoGS8HWidNF869ox/u6Uvqqi0Nk4LxtUwtvXjgHi/8d+PkKVVar77Gebnh2aZ02HhXQ7c3j8/e1906MMCBnkF060UkKkt7pAJOrn4OVHlGzT8skpDUWO8M1p4vk/VQMv/4+py5m78vuUBMXnUnekbNc2TekUMAXyaUPD9x/3TTDXvV1wZtG0JPgr2S0gMykqKPA/PZ05vDt3n7J/vW6Dh3UrruvpESPM547swZtXH86ovh1497qx/Gxc/6A59ZOtAkon9ajUmesCxzvEeutidZmN5xrhrhe0LVrG4eEjZbIZQE593T5fvZVj/voB23YmNkVAqBoPxwHc9mrA6OIw35UbXpof94InG6t2U7ExuRkxw7np+H051U3oW4dMdRDpvfjBQT2pmDi+XvfJzq2acvMJ+/pf9+rQ3N+nvEDqBlQVFQgXHNI76gjYWIniVUcO8A/e6tepJdcfuw+zf32Uf81cW1ErP8T6nqh/EF/kA8e7veyiNRIHtsXFEjg1dzaWABregTeL/HnKl3y1tpKPl4cuW5AYfxWQBx/Y0zPqBmaFW8zj+dkreX3+GnZV13D+Yx+z8NstqQ+EK7SL40/G9vO3AYRWmyRTGpowpp//Sfy3pw3ifz8fzd2n7I+IhB1F+uqVo7lyXD/+e+XooOuE/sMeGNJnO1IVz2WH96GwQGLO9Z8Noo2qNanhm6w02ls8sk97KiaOj15NFLWap27f7F8fxXQPF8kJFFd3BRE5FmfRlm4437nVIvKqqk72MGxZYevOPTQvLqQojqH2dfXg3v4zRpo9t7qmljteW+QM3X8gvgbiRP3i6L254OBeDL377aDtvu+vb9Wi5ycczCcrNrFyU3IljYFdWzP1q/W0a15M2+Yl9O/s/GOFq/IY0qMtQ9zEvXxZ+OuVFBXwzGWj2P/2t/zbiiI0JI/o3Z5lURZxyUaW/Ccv3rwzWgkgVfdXrb+0p5d5ezwDwe4F9sbpDurrIN4duEpEjlfVq70LXmbV1iqD75jCWcO788ezhsQ8vsbDEkCgm15eEHb7xMlf8P12pxorgSnWE9K2eXHYUa/7d23NNUcN4Fx37pxRfTswqm8H1m7dyYtJzI764HlDWbR6a72Rs74qm94dWsS8RuDn0LSooN6SerG6kjYG/7hwBBNf/pi9WkcfF2Eii1bHPqhbGxa4pelU/V8n+q+Z0W6gwAmqWm/hUxF5HvgKaPQZQN0IveCPxlff/PJn38aVAfjHAaQ0dPHzJf7p5Jt5UUS45qj66+OWJpkwtWpa7J9vP9AFB/dieK92cY2ODlxqMHRSN8iNOv4DurXhskFNGkWDdbZ5+9oxrN6yk++3h5/48MWfHsLenVsx5K4pQMNLAHVtAPX3+cZlhJtCw8tPNp4MYKeIjFTVmSHbDwJSt8J2FvI9Rcf7v1UTR2NRYxc67P48jwfphBKRuKfGaNGkiCW/PZ6aWg07W2akKiCTHwaUtmJAaStededTCjW0R9ugqt+G5rFd2zZl7sr6E+UJwrh9O/Ofyw8NWlPZvz+TVUDAxcBDItKKuiqgHsBWd18O8A3RdtTWKs988jUnH+j0bIlUBFu5aTsLvt3CCe4MgzW+qSByNP2/7ui96RVH1Us2KS4sINLElMU5UAVkGu5Yt9dXqND/+4ZWxfz+jMEcu/9eDOwafnbVwDUmAnn5QBnPSOBPgVEishdOI7AAq1Q1Z1YPCX1/Jy1Yw62vLmLeKrfuL8J5Jz/wIZu376Fi4ngAajJcBeSFCw/p5e+BFPg+XXRIL16f37ingrKeMwaCxwSEc8S+nXkvxqy68WjVtJhTDgwzLibC19C3gH2mq4AAcBP8oERfRPZV1dTPrZshvrq5yl3OilG+pR0jpRObfQ2utcoX323jxdkr3eNzI2Fp06yYW8bvx+I1W5lVsTkoXneecgB3nnJABkNnjLd83/a/nz8sIwskNXMzAC9zgIZWgk5JSSgyLNb7G6sItrumlhPum5ZUb5dsJuIsNPLjw531bKMtx2dMrvH92zctLmzQ9CbJ8nWqSGYd6XjF0w30vki7gLYpDY3HnvhwBXe9/jnz7ziG1k3DvanhR/LGygBOfXB60OscKQD4433M/nvx8U1HsleMKZgbkxMGha/3NSbdIiUXPzy4Fz90p0zxSjwlgEuAhcCckJ/ZQKNaOPZfHzt12eu37WLqV+v93b9iJdix0vMvQubbD72eqiY8lezUr9YndHxDDQyznm1gb4VcSvwB/n5+Tg1mNx7IlarcaOJpA5gFLFTVj0J3NNZZQbfvquHCJ2YyrGdbXr6ibvqAiGl0gt+D0IElfW56g9H9O/DMZdEXSgFnWorOrZrw+ZpIC7F5442rD6f3jZP8r1s1LeJfl41K+X1G9s7+6RWMyRfxZABnEqG/v6r2SW1w0sO36Em8C4Yk2g0r8PDtu50G5elLN1K1q7reaNRQ4ZZKTJchPdoyz50l9LELR9CnY2q7fP7jwhEckaI51Y3JFVm9KLyqblLV1E0dmUHLN1QBcMZDTmEm3kqZRAeA+A6f+tV6Bt5WN/fMJU/OSuxCaeKfvtktAj1ywXBGhRmF21DFhZLxOfbvOW0QV5T1i32gMWni5XTPscTTCPw/4FFgsqruCdnXF2cwWIWqPuFJCD20bafzdB7rA0i8BOAcP2P5xqDtMysaNtuoV6b+chwAfTu1ZN6qLfTrVH84eq5I98hlY2JJZHGaVIunCujHwC+Ae0VkE7AeaAr0BpYBD6jqq56FMI0iNgEkWgJwj28sTUi+1bXuOW0QpxzYNex8JMYYb5yRzRmAOwDsV8CvRKQ30AXYAXyVK1VDgQn8nK83s7XewjAJlgDCXDeSj5Zt4DevL+bzNVt5+tKRCd0nnHNH9uDZmSvjPv6Fnxzi/7tZSSFl+1gdvTH5Iu6RwACqWgFUeBISD73y2Sp+PzV2XrW7utbfPhAo4TYAN+WPVrW0bttOOrRownn/+MS/7cInQufbS9yBPdomlAE0hkVPjDHeSCgDaKyufX5exH0/eGQG8905fyLNChiuDSD6Gp6R3fLKAv/i7KEza6ZCpEzns1uPrreIS7rnkM+HftXGNCYZnQ9XRCpEZIGIzBWR2ZkIwycrNrHDXUv3/S/DD74KTLc2Vu7ijtcW1Rv8Fe74cOmdL/EH+CDOwV492zePP7MIuGef1nUfb7hFXL7fkd5xfJb8G5Nd4s4ARKRe5bCI7JOCMIxT1QNVdUQKruWJwITrd29+wVMfVXD836ZFOT61SV3T4gIuHt07aNt4dwrqUOMC6vDPHxic6IdmSDv31KYkfMaYximREsA0ETnb90JErgNeSX2Qso+IUFurjPjNO/4ZQqMf7/z2dTNt8P3DZShhNh09sJROrZrQr5MzgMv34VrNizEmnETaAMqAR0XkLKAUWAw0tNuKAlNERIFHVPXR0ANEZAIwAaC0tJTy8vIG3jJxu3ft5Ian3mZDZXxLLlZVVVFeXs5TH1Wl5P7bt1exYP78oG3r19Wfn/yUvbZRXl7OXsW7WAbU7t4BCCUFOO9bmGaLdL6f8+fPp3Z19LnXG6qysjIj35FMsjinTuA10/WexnMfr+KbyHoAa0RkMnATUAvcpKrxzaUQ2WhVXe1WL70tIl+o6tSQ+z6KMxCNESNGaFlZWeJ3mTwp9jFRNGvWjOoW7YDwjcShWrZsyeFjDoPJbzTovoHXGzR4H5hTN5K4tLQUvlvtfz2oWxtOPOYwAA4eXcNXa7excclnXDq6lNOHdeOAbm0omPKGf+F6n6Tez0S57/+QIYM5fEDqG74DlZeXpydOWcTinALud7SsrIyz1s/jxTmrvH9PA+4Zi1efcdwZgIi8DawBDgC6A0+IyFRVvT7Zm6vqavf3OhF5BadEMTX6WemX8EAwoN/NqUn8wVl9K9w9fP5z+aH0Dxi927S4kMHd21K+VLjtpIEpC4cx+eAPZw7md6cP8vw+r145mhZNvC0Rx5JIG8CDqnqhqn6vqguBQ4Etyd5YRFq46wwjIi2AY3Cmnc46DZkMLhXOGdmTEb3a0adjC+48eX/AmbgN4PABHRneqx1tmie+aMT4weEbko3JZyIStBi8V4b0aEv/zq08v080iVQB/TfkdTVwdwPuXQq84vYNLwL+raqTG3A9z6zYUMWBboIbDy8WcW7VtJj3ry8D4NB+HejfuSU/OiyxyVgTXegm1TI56ZUxpr5EqoC2UdeMWAIUA5WqmtQ6gaq6HBiSzLmZsGN3TdzHLvg26YJRXAaUJvfUEJrepzs5tt5IJpu1DzNWJtclUgIISnVE5FQa3guo0Zi86LtMByHl0j0zc2fftNPGZJn/XH4oPdqlf93fTEu6osutEjoidUExXvNN83zUfqWA01icTsmWXIzx2vBe7eic5qlRskEiVUCnB7wsAEYQ/5oqJgs8c9koFny7hdXf7+SdxWutSsaYPJfIQLCTAv6uxpkV9JSUhsbUMzGF3dE6tGxC2T6d+XfAfETGmPyVSBvAJV4GxIR3zkjvVrCKMqGpMSYPxLMk5P1EqepR1atSGiLjd/+5Qz257rBebQFn7iBjTP6KpwSQkWmaDXRt602j1L57tWb5PSdQkOEF2o0xmRVPBnCUql4gIler6t88D5Hx83KgliX+xph4uoEOF5FewKUi0k5E2gf+eB3AfFZoibQxxkPxlAAeBiYDfYE5BA8gVXe78UC6p2owxuSXmCUAVb1PVfcDnlDVvqraJ+DHEv8UqJg4Pux2ywCMMV6KeySwql7uZUBMfVYFZIzxUkYXhc9nJw3pGvMYtYHWxhgPWQbgofui9OM/f1TsAV42UMsY4yXLAFLgsP4dw27v06EFI/vU7yh1yejeVr9vjMk4ywAaYEj3Njz8w+H8348iz4p9aL8O9bZ1aFES11TM1gZgjPGSZQANUFAgHHfAXkiEp/l9u7TirBE96NWhedB2EfGfE22lsSZF9vEYY7xjKUwEQ+JYAjLW83lxYQHd2jbjg1+OC9peIEL/zs7c/BPGRO5J26tDi5hhMMaYZFkGEEkcLbCBT/5PXzqSB88bFvFY3yIsPm2aFVMxcTwnDLKF2Y0xmWEZQAS1UdL/KdeOAaBPx7on9DF7d2L84LrEvLgwcvnAuncaY7JBIgvC5JVIifTIPu3Zu7QVT11yEKP61G/g9YlWtROucNG6aRFbd1YnHE5jjEmWlQAiqK2FkjCNsL4un2X7dKZZSeQ1dQ/qHdz985AwvYECFRXaR2GMSS9LdSII9/xffn0ZPxvXP+p5vq6bw3q1C9p+6eje0e9no76MMWlmVUARqGq9Xj69O8buleM7J3SgV6SuoqH6d25Ji5LCuI83xphkWQYAdGzZhDOGdWNT1W5enLMKcOrpkxmI5Uu3w505YUxfHp26PMJ5zhlPXzqSrm2bJXxfY4xJlFUBASWFwk0n7MepQ7v5t9Wq8uJPD0n4Wk2KnHaBmjBVOkVxZCg2+MsYky55kdp0atUk6n5fA+zo/h155YpDAacNYP+ubRK+19/PH8ah/TrQoqR+4apne2dEsFdr/RpjTCIyWgUkIscBfwMKgcdUdaIX99mrdVPWb9sVcX/gU/egbm04ar9SrjoyemNvJGP27sSYvTuF3feDg3rQvV1zRveP3iPIGGPSIWMlABEpBB4EjgcGAueKyMBMhcenqLCAxy4aweDubVN+bRHhsAEdwzbw3nbiQFo2KaJ1s+KU39cYY8LJZAlgJLBUVZcDiMhzwCnA5xkMU8acOrRbUBuEMcZ4LZMZQDdgZcDrVcCo0INEZAIwAaC0tJTy8vKEb7Rt246o+6u2V8V13WTunUmVlZVZFeZ0hCXb4pwOFufc51V8M5kBhOsSU6/rjKo+CjwKMGLECC0rK0v4Rq0Xfghbt/hf//UHQ3h25kpmrtgEwG/PHEHZvp3Dnzx5EuAMAotnHEA2KS8vJ5n3K+Xc9zAdYcmaOKeRxTn3eRXfTPYCWgX0CHjdHVjtxY26tAnudXPa0O60alKX942LlPgHaGyJvzHGxJLJDGAWMEBE+ohICXAO8JoXN/rjWUP46eDoXUGNMSbfZCwDUNVq4GfAW8Bi4AVVXeTFvVo3Lebgrjbo2RhjAmU0VVTVN4A3MhkGY4zJV3n1WPy/nx1Gh5YlgNPt8t0v1jHtV+NinGWMMbkprzKAQd3rpnY4aUhXThrSNa7zDurdLvZBxhjTyORVBpCMmbccSeumNjrXGJN7LAOIoXMrm7jNGJOb8mI2UGOMMfVZBmCMMXnKMgBjjMlTlgEYY0yeskZg47kHzhsadUEeY0xmWAZgPHfi4PjGWxhj0suqgIwxJk9ZBmCMMXnKMgBjjMlTlgEYY0yesgzAGGPylGUAxhiTpywDMMaYPGUZgDHG5ClR1UyHIW4ish74OsnTOwIbUhicxsDinB8szrmvofHtpaqdQjc2qgygIURktqqOyHQ40sninB8szrnPq/haFZAxxuQpywCMMSZP5VMG8GimA5ABFuf8YHHOfZ7EN2/aAIwxxgTLpxKAMcaYAJYBGGNMnmr0GYCIFIrIZyLyuvu6vYi8LSJL3N/tAo69SUSWisiXInJswPbhIrLA3XefiEgm4hIPEalwwzpXRGa723I9zm1F5CUR+UJEFovIIbkcZxHZx/18fT9bReSaHI/ztSKySEQWisizItI0l+MLICJXu/FdJCLXuNvSG2dVbdQ/wC+AfwOvu6//ANzo/n0j8Hv374HAPKAJ0AdYBhS6+2YChwACvAkcn+l4RYlvBdAxZFuux/mfwGXu3yVA21yPc0DcC4HvgF65GmegG7ACaOa+fgG4OFfj64bzAGAh0BxnZcZ3gAHpjnOjLgGISHdgPPBYwOZTcBIM3N+nBmx/TlV3qeoKYCkwUkS6AK1VdYY67+bTAec0FjkbZxFpDYwBHgdQ1d2q+j05HOcQRwLLVPVrcjvORUAzESnCSRRXk9vx3Q/4WFW3q2o18AFwGmmOc6POAIB7gV8BtQHbSlV1DYD7u7O7vRuwMuC4Ve62bu7foduzlQJTRGSOiExwt+VynPsC64En3aq+x0SkBbkd50DnAM+6f+dknFX1W+BPwDfAGmCLqk4hR+PrWgiMEZEOItIcOAHoQZrj3GgzABE5EVinqnPiPSXMNo2yPVuNVtVhwPHAlSIyJsqxuRDnImAY8JCqDgWqcIrGkeRCnAEQkRLgZODFWIeG2dZo4uzWc5+CU7XRFWghIj+MdkqYbY0mvgCquhj4PfA2MBmneqc6yimexLnRZgDAaOBkEakAngOOEJF/AWvdYhHu73Xu8atwclif7jjFzFXu36Hbs5KqrnZ/rwNeAUaS23FeBaxS1U/c1y/hZAi5HGef44FPVXWt+zpX43wUsEJV16vqHuBl4FByN74AqOrjqjpMVccAm4AlpDnOjTYDUNWbVLW7qvbGKSa/p6o/BF4DLnIPuwh41f37NeAcEWkiIn1wGlxmusWsbSJysNt6fmHAOVlFRFqISCvf38AxOEXJnI2zqn4HrBSRfdxNRwKfk8NxDnAuddU/kLtx/gY4WESau+E8ElhM7sYXABHp7P7uCZyO81mnN86Zbg1PxQ9QRl0voA7Auzi56btA+4DjbsFpPf+SgJZyYAROQroMeAB3hHS2/eDUh89zfxYBt+R6nN2wHgjMBuYD/wXa5UGcmwMbgTYB23I2zsCdwBduWP8Pp7dLzsbXDes0nIeZecCRmfiMbSoIY4zJU422CsgYY0zDWAZgjDF5yjIAY4zJU5YBGGNMnrIMwBhj8pRlAMY0MiIyXkTmi8gtmQ6LadwsAzCm8bkEZ5TwuEwHxDRulgEYE4WIlIvIiBRfs62IXBHwukzc9SwiHP+SiPQN2PQ6zhQAK0OOeydw/nhjYrEMwJj0awtcEesgABHZH2fe9+UBm1vijCJtE3L4/8V7XWPAMgDTSInIr0TkKvfvv4rIe+7fR4rIv0TkIRGZ7a62dKe773gReSHgGmUi8j/372NEZIaIfCoiL4pIyzD3DHuMOKu03eluXyAi+7rbO4mzqtOnIvKIiHwtIh2BiUA/cVb7+qN7+ZZSt+rZM+68LgDnU39ul/OBy4GhIU/8r+HMH2RMXCwDMI3VVOBw9+8ROAloMXAYztPxLao6AhgMjBWRwThT7x7sTqQH8APgeTdR/jVwlDpTbc/GWWnOL45jNrjbHwKud7fdjjNJ4TCcmVt7uttvxFnk5UBV/aW7bShwDc7KT31xZrvF/e2f8lxE+gNNVHURTsZwpm+fqm4GmohIhzjeP2MsAzCN1hxguDs76i5gBk5GcDhOBnC2iHwKfAbsDwxUZ+WlycBJ4qw8NR4nET0YJ+GdLiJzcWZh7BVyv1jHvBwQrt7u34fhTFWOqk4GNkeJz0xVXaWqtcDcgGt0wVkQx+d83zVxZo88P+Q663Dm1DcmpqJMB8CYZKjqHnctiEuAj3BmCh0H9AN24DyFH6Sqm0XkKaCpe+rzwJU486/PUtVtbnXL26oarfok1jG73N811P1fJbIg+a6AvwOvsSMg7ADn4SyY4qvr7yIiPVTV1yDc1D3HmJisBGAas6k4Cf1UnKf+n+I8PbfGWTlsi4iU4nSZ9CnHWVDmxziZAcDHwGi3egV3Xvq9Q+4VzzGhPgTOdo8/Bmcaa4BtQKs447gY8N1zFE5VU3dV7a3OWhi/x633dzOyvYCKOK9t8pxlAKYxm4ZTRTJDnVWzdgLTVHUeTtXPIuAJYLrvBFWtwelGebz7G1VdD1wMPCsi83ES+30DbxTPMWHcCRzjVkUdj7Pe7TZV3YhTlbQwoBE4kkk4612AU93zSsj+VwDf8onDcRYaj7a0oDF+th6AMR4RkSZAjapWi8ghOOsaH5jgNZoB7+OsBV0T49i/Aa+p6rvJhtnkF2sDMMY7PYEXRKQA2I1T7ZQQVd0hIrcD3XCWToxmoSX+JhFWAjDGmDxlbQDGGJOnLAMwxpg8ZRmAMcbkKcsAjDEmT1kGYIwxeer/AZ0dITILxidFAAAAAElFTkSuQmCC\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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S8NTYTdt27/PBXVJWzuz31/N20RcAPPX2J/SeMoMdu8tY+NEXeyXCBWs2JfyBNnPJp2wsjn/ehdfyTN1LH5zP7bOW71NeXu58/MW+P+NkWly0OeXvEWvErS9y5bRFdfZ+sUrKylmwZlO9vHe6OP2OlwE49+65KX+v8vI9/1Pn/fV1Ln3orb22b9lZwsvLN/DjxxZx4X1vpDweq+mf3MzWAEPd/bM42z5y9+6pCi6ZCgoKfN68eZGPy792Rq3f8+5vDmH28vU8NHdN5GNbN8vhRyf346an3qn1+8c6a3A3/vlWUVJeK1E5WUZp+AffsVUu5x3TkzteWE5uThYj+3XizMHduPSh+ZX7H9GlDcvWbqnxdb9ydFceX/Bx5XpudhY9O7QAYPm64n32N4ObJhzJui07+Z8XV9C2eROG9WrPgjVfsCFMXFeO6UfvsiIGDzuWkrJyenZoyfzVmyh3p2u75hzSrjmbt5fwyJtrmPH2WnKyjV+f+SVa5ubw0NzVdGnbjHOH9uCIn88E4K2fjaF9y1zcndnLN9C/Sxta5Gazo6SMDi1zqbjedtY7n9G7U0sAPt28k+MO7UhZuTNr2WeMOSIPM9i+u4yWTfc+t8XdWVS0mYl/egWARycfS0F+ewDuemklA7u147H5H/HHcwaxvngXZ9/1GvdeOJSln2zmsINb07tjK16Z8xLHn3AiOdnBd8h3PtlCTrbRL681EHwYtWiSTXaW8eibH3H6wENompOFO+TmZHH1Y4t4bH4RT19+PFt2ltClbTN6dmjJ7tJyyt15u2gzQ/MPotxh844SmjfJZv3WXfTo0IKV64vp2b4FOdlZlJSVs2VHCb9+5l2eW/op9100lE6tmtGmeQ7tWgTzzX2+bTe7Ssvo2KopOVlGSZnzyooNPL/sM/7++hr+9b3j6NOxFas/38YX20so2rSDdVt3csXovrhDSXk5TXOyKSwsZOTIkQCs2bidrbtKaJGbw7xVn3Pm4G5kZ9V8HfSbqz7nlRUb6NOpFT94ZEFl+cpfncq422ZzXJ8O3DjhSCD4wM/KMnaWlLGrtJzycueLHSXc/NQ7/O7sgRRt2s7BbZvRuXUztuwsYfrCTzioRS6Oc/pRh7CrtIw5729gy84Srpy2iLlTRpPXpim9pjwNwNOXH8+pd8yJG+e0S4bzyooNPPb6Cl69/tQa6xWPmc1394K42xJIHjcD0919n1RmZr9x95/UKqoDZGbjgNuBbOAed791f/vXR/IQkYarRW4223fvaVGbpe4kjivH9OMPz7+fmhcHVt16Wq2O21/yqPFUXXe/fj/b6itxZBPMnz4GKALeNLPp7p6cr+kikvFiEwek9uy/VCaOVKnVgLmZ3ZDkOKIaBqxw9w/cfTcwFZhQzzHVuZywiZ3Xpmll2cBubQF45dqT9tn/d189inMKulWuXzG6LwADDmnDrCtP5NU4xxyW15oJgw7hictG8OJVJ9KxVS7/87Wj99pnaP5B/OGcgUwa2p2/f/sYHv72MZx5dNe99vnvswfyxnWjuX3SIK4c04+rxvQD4Pi+Hfn92QOZOvlYFv58DHltmnLZqD78+JR+PPn9L+/1Gr+cMIAzBgbDbBMHBc8dWuYy/fsjALhgeE+W3DiW1s1y6JfXCoDj+nTg2vGH079LG4blt2fUYZ34xRn96XZQcyDoTmvdLIeXfzKq8n3+/PXBlcstcrM5rk8HLjwuf5+fzTkF3Tj5iM6cdlQXju/bke+O7FO5raJ+1TmmV/vK5VO/dHDl7+3oHu0A6N+lDV3bNWdwj3Y8cPEwju/bkYtH9AKC7r03rzuZP503mLu+MZhzCroxcdAh3HBGfy4e0YvmTbL5wUmHMm7AwZxb0J2LR/Sie/vmXD32MADOLejOnGtGccPwZpx0eGc6tsqtjOW8Y3rww5P78rPT+/P7swdy0uGduWnCAO67cCgXHpfPLyceyXF9OgBU/gwTdf1pR1Qun3ZUl73es6ovH9qRI7u2AajskpT0UmO3VdyDzN4KrzKvF2b2VWCcu387XP8mcIy7f7+6Y1LRbbXw52No1TSHG55cykNz1zDnmlG0bpbDL59attf4wss/GcVrKzey5OPNXD3ucApufp6pk4fTt3MrHl/wMX98/n02bttduf8RXdrw6CXHsru0nM+37eaUP86ufD/34BTW9i1zq4YT186SMrKzjCbZ8b8nFG3aToeWTWmem71XeWzfcHVWbdhGj/YtyNpPP/Hu0nLmr97E8PADJ6qKn/+ym8btE+OWnSXkZBktcnMoKSuvto7xuDvlzl593LF1Li93HBLqA4913eOLad4km+tP7x/puPqQyO84URW/p9jukUUffYEZHNWtXdxjVqzbStOcbLq3D5LDyvXFXP3YIh781jH7jPFU/T987+ZxvLBsHbnZWWRnGyP6dOSdtVvYtquUyx9ZwCkD8vjWl3tzaOdW7CwpY/HHmzn7rtcAeP/m8ZSVOx9t2s60Nz/ip6cesc/f8Pqtu2jfMnef339pWTmHXvcMsPfYW8dWTXnmiuMZessscnOyOHtINx5+PRjrHH14Z154d11l3Ft2lNI8N5tWYR2r+4w575ge3DLxSJavK678DIhq2iXD2bZqEaNGjap55zgOaMyjmhdc4O5H17xnapjZ2cDYKsljmLv/oMp+k4HJAHl5eUOmTp0a+b3Wby/nxQ+388xHwR/RwE7ZrNtezqjuTTglv0m1x5WUO995bjsDOmRx9dD9f0NbsK6U29/ac8bR/eNaRo4z2YqLi2nVqlV9h8GFM7cBcM8pLSpbWqmSLnWuK8ms70tFJXRvnUXvttk171wLu8scM/jRf7ZTXAL3jW1RedJBoj4pLqdo03aGdT+wOl/2wja2lQT/p5e/uI0tu2HSYbmM7J7DpbO2k5sNd49pyVWF29m407nnlBY8v7qUR9/bHTfupRvK+N28nVw2qCmDO2fH/cJS8X8AcOvxzbl2TnBG37j8JsxcVcLY/ByeXVW6z3H3j2t5QL/nUaNGJT15ZLnX9kTKA2dmw4Eb3H1suD4FwN1/Xd0xtW15QPANreKXF2XgaXHRZnp1aln5DaMmH3+xg5LScvI71n/ySOa30gNR8a1s5a9OjdwKiCpd6lxXGmJ912zczrzVwZlRtZGMOhfvKqWszGnbogk3TF/K/a+u4men9+eC4T059LpnOH94T26acCS7Sstwh2ZNak6oZeW+37/v4l2lHPmLZwFYcuPYyuXYz6NLH5zPzKWf7nXcqltPO6A6H9CAefgCY4GJQFeCXpNPzOwJd59Zq4gO3JtAXzPrRXCX30nAeal+0zH98yLt/6WwHztRXdtF60POJCnOG9JA9OjQgh71PAYS+2Ww4st3lkFOdhZLbxxbmSya5iTeCqvpi1Hse+bW0D07bsDB+ySRVKgxeZjZbUA/4AGCM5sAugGXm9l4d78ideHF5+6lZvZ94FmCU3XvdfelqXzPD399auRmsiSPfvaSjiqu26v48K86VpNsow7rRJPs+P8LB7dtBsCkYd3TI3kAp7r7PqeOmNmjwPtAnScPAHd/Gni6rt5PH14iUlXFnRjq4vPh/ZvHk51l1b7XteMP50td23Jiv04pjwUSO1V3p5kNi1M+FNiZ5HhERBqM8phuq1TLzcnaq3vrguE999rerEk2Zw3pVmdfdBNpeVwI3GlmrdnTbdUd2BJuExHJSOXhaUNZddwzkciJOwe3aZbSGBK5wvwt4BgzO5hgwNyAIndPfaeaiEga+96oPryzdgvjjzy4vkPZy7RLhpPfMbUnFiQ8uhMmi70Shpkd7u7vJj0qEZEGoGeHljz5gy/XvGMdGxZzB4NUOdD5PJ5LShQiItKgJHKq7h3VbQLaJTUaERFpEBLptroIuAqIN2PP15IbjoiINASJJI83gSXu/mrVDWlwd10REakHiSSPr1LN9Rzu3iu54YiISEOQyKm6n9dFICIi0nDUeLaVmT1pZmeY2T73Hzez3mZ2k5ldnJrwREQkHSXSbfUd4ErgNjP7HFgPNAPygZXA/7r7EymLUERE0k4i3VafAtcA15hZPtAF2AG87+7bUxueiIiko0j3D3b3VcCqlEQiIiINxoFeYS4iIhlIyUNERCJLOHmYWec4ZYclNxwREWkIorQ85pjZORUrZnYV8HjyQxIRkXQXZcB8JHC3mZ0N5AHLgHgzDIqISCOXcMvD3dcCM4HhBNd4PODuxSmKS0RE0ljCLQ8zex5YCxwJdAPuNbPZ7v7jVAUnIiLpKcqYx5/c/Xx3/8LdlwDHAZtTFJeIiKSxKNPQ/rvKeinwy2QHJCIi6S9Kt9VWwMPVXKAJUOzubVMRmIiIpK8oLY/WsetmNhGdbSUikpFqfYV52I11UvJCERGRhiJKt9WZMatZQAF7urFERCSDRLlI8IyY5VKCu+tOSGo0IiLSIEQZ87golYGIiEjDUWPyMLP/YT/dU+5+eVIjEhGRtJdIy2NeyqMQEZEGJZHkcbK7f9PMrnD321MekYiIpL1ETtUdYmY9gYvN7CAzax/7SHWAIiKSfhJpedxFcDfd3sB8wGK2eVguIiIZpMaWh7vf4e5HAPe6e2937xXzUOIQEclAUebz+G4qAxERkYaj1rcnERGRzKXkISIikSl5iIhIZPWaPMzsbDNbamblZlZQZdsUM1thZu+Z2diY8iFmtjjcdoeZ2b6vLCIiqVTfLY8lwJnA7NhCM+sPTAIGAOOAP5tZdrj5TmAy0Dd8jKuzaEVEBKjn5OHuy9z9vTibJgBT3X2Xu38IrACGmVkXoI27v+buDjwATKy7iEVEBKLdkr0udQXmxqwXhWUl4XLV8rjMbDJBK4W8vDwKCwtrFUxxcXGtj22o0q3OdRFLutU51TKtvqA6J1PKk4eZzQIOjrPpOnd/orrD4pT5fsrjcve7gbsBCgoKfOTIkfsPthqFhYXU9tiGKm3qPHMGQJ3EkjZ1riOZVl9QnZMp5cnD3U+uxWFFQPeY9W7AJ2F5tzjlIiJSh+p7wLw604FJZtbUzHoRDIy/4e5rga1mdmx4ltX5QHWtFxERSZH6PlX3K2ZWBAwHZpjZswDuvhSYBrxDcFPGy9y9LDzsu8A9BIPoK4Fn6jxwEZEMV68D5u7+OPB4NdtuAW6JUz4PODLFoYmIyH6ka7eViIikMSUPERGJTMlDREQiU/IQEZHIlDxERCQyJQ8REYlMyUNERCJT8hARkciUPEREJDIlDxERiUzJQ0REIlPyEBGRyJQ8REQkMiUPERGJTMlDREQiU/IQEZHIlDxERCQyJQ8REYlMyUNERCJT8hARkchy6jsAkf25YnRfhvVqX99hiEgVSh6S1n40pl99hyAicajbSkREIlPyEBGRyJQ8REQkMiUPERGJTMlDREQiU/IQEZHIlDxERCQyJQ8REYnM3L2+Y6gTZrYeWF3LwzsCG5IYTkOgOjd+mVZfUJ2j6ununeJtyJjkcSDMbJ67F9R3HHVJdW78Mq2+oDonk7qtREQkMiUPERGJTMkjMXfXdwD1QHVu/DKtvqA6J43GPEREJDK1PEREJDIlDxERiSxjk4eZZZvZAjN7Klxvb2bPm9ny8PmgmH2nmNkKM3vPzMbGlA8xs8XhtjvMzOqjLokys1VhvAvNbF5Y1qjrbWbtzOwfZvaumS0zs+GNuc5mdlj4+614bDGzHzbyOv/IzJaa2RIze8TMmjXm+gKY2RVhfZea2Q/Dsrqts7tn5AO4Evg78FS4/lvg2nD5WuA34XJ/YBHQFOgFrASyw21vAMMBA54Bxtd3vWqo8yqgY5WyRl1v4G/At8PlXKBdY69zTN2zgU+Bno21zkBX4EOgebg+DbiwsdY3jPNIYAnQgmA22FlA37quc0a2PMysG3AacE9M8QSCDxrC54kx5VPdfZe7fwisAIaZWRegjbu/5sFv4YGYYxqSRltvM2sDnAD8H4C773b3L2jEda5iNLDS3VfTuOucAzQ3sxyCD9RPaNz1PQKY6+7b3b0UeAn4CnVc54xMHsBtwDVAeUxZnruvBQifO4flXYGPYvYrCsu6hstVy9OZA8+Z2XwzmxyWNeZ69wbWA/eFXZT3mFlLGnedY00CHgmXG2Wd3f1j4L+BNcBaYLO7P0cjrW9oCXCCmXUwsxbAqUB36rjOGZc8zOx0YJ27z0/0kDhlvp/ydDbC3QcD44HLzOyE/ezbGOqdAwwG7nT3o4FtBM356jSGOgNgZrnAfwGP1bRrnLIGU+ewX38CQXfMIUBLM/vG/g6JU9Zg6gvg7suA3wDPAzMJuqRK93NISuqccckDGAH8l5mtAqYCJ5nZQ8BnYTOO8HlduH8RQVav0I2gWVwULlctT1vu/kn4vA54HBhG4653EVDk7q+H6/8gSCaNuc4VxgNvuftn4XpjrfPJwIfuvt7dS4B/AcfReOsLgLv/n7sPdvcTgM+B5dRxnTMuebj7FHfv5u75BM36F939G8B04IJwtwuAJ8Ll6cAkM2tqZr0IBqbeCJuFW83s2PAMhfNjjkk7ZtbSzFpXLAOnEDR/G2293f1T4CMzOywsGg28QyOuc4yvsafLChpvndcAx5pZizDO0cAyGm99ATCzzuFzD+BMgt913da5vs8cqM8HMJI9Z1t1AF4gyOAvAO1j9ruO4AyF94g5GwEoIPgAXgn8L+EV++n4IOj/XxQ+lgLXZUi9BwHzgLeBfwMHZUCdWwAbgbYxZY22zsCNwLthrA8SnFXUaOsbxjqH4IvQImB0ffyOdXsSERGJLOO6rURE5MApeYiISGRKHiIiEpmSh4iIRKbkISIikSl5iGQQMzvNzN42s+vqOxZp2JQ8RDLLRQRXn4+q70CkYVPyEEkRMys0s4Ikv2Y7M/tezPpIC+ekqWb/f5hZ75iipwhuS/FRlf1mxc7/IFITJQ+RhqUd8L2adgIwswEE8zZ8EFPciuDq5LZVdn8w0dcVASUPyUBmdo2ZXR4u/9HMXgyXR5vZQ2Z2p5nNC2dpuzHcNt7MpsW8xkgzezJcPsXMXjOzt8zsMTNrFec94+5jweyON4bli83s8LC8kwWzwb1lZn8xs9Vm1hG4FehjwSyBvwtfvpXtmS3x4fA+RQBfZ997FX0d+C5wdJWWxnSC+2GJJETJQzLRbOD4cLmA4MO3CfBlgm/l17l7AXAUcKKZHUVw++tjw5tKApwLPBp+oF8PnOzB7e7nEcxSWSmBfTaE5XcCPw7LfkFw087BBHdA7hGWX0swwdMgd786LDsa+CHBjHG9Ce4cTfhcOfWAmR0KNHX3pQRJ5asV29x9E9DUzDok8PMTUfKQjDQfGBLeZXgX8BpBEjmeIHmcY2ZvAQuAAUB/D2ZsmwmcYcGMdacRfAAfS/Ch/YqZLSS4m2nPKu9X0z7/iokrP1z+MsGUAbj7TGDTfurzhrsXuXs5sDDmNboQTIZV4esVr0lwF9avV3mddQRzYojUKKe+AxCpa+5eEs7nchHwKsEdd0cBfYAdBN/+h7r7JjO7H2gWHvoocBnB/AlvuvvWsIvoeXffX5dPTfvsCp/L2PM/GW+inursilmOfY0dMbEDnEcwWVLF2EYXM+vu7hWD583CY0RqpJaHZKrZBEliNkFr41KCb+1tCGYc3GxmeQSntVYoJJhM6jsEiQRgLjAi7BIinFeiX5X3SmSfql4Gzgn3P4XgVvIAW4HWCdZxGVDxnscQdI91c/d8D+az+Q3hOEeYBA8GViX42pLhlDwkU80h6NZ5zYPZ9nYCc9x9EUF31VLgXuCVigPcvYzgVNfx4TPuvh64EHjEzN4mSBSHx75RIvvEcSNwSth9Np5gfu6t7r6RoPtrScyAeXVmEMxZA0EX1eNVtj8OVEzZOgSYG3bPidRI83mIpCEzawqUuXupmQ0nmId9UMTXaA78h2Du+rIa9r0dmO7uL9Q2ZsksGvMQSU89gGlmlgXsJugqi8Tdd5jZL4CuBNO17s8SJQ6JQi0PERGJTGMeIiISmZKHiIhEpuQhIiKRKXmIiEhkSh4iIhLZ/wNBExZc7eep1QAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ "<Figure size 432x288 with 1 Axes>"
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "for i in wrong_predictions: \n",
+ " plt.plot(wavelengths, data[i]) \n",
+ " plt.xlabel('wavelength(Å)') \n",
+ " plt.ylabel('flux (10-17 ergs/s/cm2/Å)') \n",
+ " plt.grid(True)\n",
+ " plt.title(str(i))\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Vergleichs-Benchmark"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.265"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn import svm\n",
+ "clf = svm.SVC(gamma=0.001, C=100.)\n",
+ "clf.fit(data_training, labels_training)\n",
+ "clf.score(data_test, labels_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\Josh\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:814: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
+ "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+ "\n",
+ "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+ " https://scikit-learn.org/stable/modules/preprocessing.html\n",
+ "Please also refer to the documentation for alternative solver options:\n",
+ " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+ " n_iter_i = _check_optimize_result(\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "0.7825"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn.linear_model import LogisticRegression\n",
+ "clf1 = LogisticRegression(max_iter=1000, random_state=123)\n",
+ "clf1.fit(data_training, labels_training)\n",
+ "clf1.score(data_test, labels_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.7775"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn.ensemble import RandomForestClassifier\n",
+ "clf2 = RandomForestClassifier(n_estimators=100, random_state=123)\n",
+ "clf2.fit(data_training, labels_training)\n",
+ "clf2.score(data_test, labels_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0.4425"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from sklearn.naive_bayes import GaussianNB\n",
+ "clf3 = GaussianNB()\n",
+ "clf3.fit(data_training, labels_training)\n",
+ "clf3.score(data_test, labels_test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}