Commit e90c8a50a8b54535a87a4c84b6301e9d57dd2451
1 parent
17772b9cbd
Exists in
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added test scripts
Showing 5 changed files with 188 additions and 145 deletions Side-by-side Diff
python-notebook/__pycache__/tools.cpython-37.pyc
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e90c8a5
python-notebook/prepare_trteva_data.ipynb
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... | ... | @@ -48,7 +48,7 @@ |
48 | 48 | }, |
49 | 49 | { |
50 | 50 | "cell_type": "code", |
51 | - "execution_count": 13, | |
51 | + "execution_count": 3, | |
52 | 52 | "metadata": {}, |
53 | 53 | "outputs": [ |
54 | 54 | { |
... | ... | @@ -95,7 +95,7 @@ |
95 | 95 | }, |
96 | 96 | { |
97 | 97 | "cell_type": "code", |
98 | - "execution_count": 17, | |
98 | + "execution_count": 4, | |
99 | 99 | "metadata": {}, |
100 | 100 | "outputs": [], |
101 | 101 | "source": [ |
... | ... | @@ -183,7 +183,7 @@ |
183 | 183 | }, |
184 | 184 | { |
185 | 185 | "cell_type": "code", |
186 | - "execution_count": 24, | |
186 | + "execution_count": 5, | |
187 | 187 | "metadata": {}, |
188 | 188 | "outputs": [ |
189 | 189 | { |
... | ... | @@ -253,7 +253,7 @@ |
253 | 253 | }, |
254 | 254 | { |
255 | 255 | "cell_type": "code", |
256 | - "execution_count": 4, | |
256 | + "execution_count": 6, | |
257 | 257 | "metadata": {}, |
258 | 258 | "outputs": [], |
259 | 259 | "source": [ |
python-notebook/test_mnist.ipynb
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... | ... | @@ -2,7 +2,7 @@ |
2 | 2 | "cells": [ |
3 | 3 | { |
4 | 4 | "cell_type": "code", |
5 | - "execution_count": 1, | |
5 | + "execution_count": 3, | |
6 | 6 | "metadata": {}, |
7 | 7 | "outputs": [], |
8 | 8 | "source": [ |
9 | 9 | |
10 | 10 | |
... | ... | @@ -10,13 +10,16 @@ |
10 | 10 | "from tensorflow.keras.layers import Dense, Activation\n", |
11 | 11 | "from tensorflow.keras.utils import to_categorical\n", |
12 | 12 | "from tensorflow.keras.datasets import mnist\n", |
13 | + "from tensorflow.keras.callbacks import EarlyStopping\n", | |
14 | + "from tensorflow import keras\n", | |
13 | 15 | "import numpy as np\n", |
14 | - "import matplotlib.pyplot as plt" | |
16 | + "import matplotlib.pyplot as plt\n", | |
17 | + "from tools import *" | |
15 | 18 | ] |
16 | 19 | }, |
17 | 20 | { |
18 | 21 | "cell_type": "code", |
19 | - "execution_count": 2, | |
22 | + "execution_count": 4, | |
20 | 23 | "metadata": {}, |
21 | 24 | "outputs": [ |
22 | 25 | { |
... | ... | @@ -40,7 +43,7 @@ |
40 | 43 | }, |
41 | 44 | { |
42 | 45 | "cell_type": "code", |
43 | - "execution_count": 3, | |
46 | + "execution_count": 5, | |
44 | 47 | "metadata": {}, |
45 | 48 | "outputs": [ |
46 | 49 | { |
... | ... | @@ -65,7 +68,7 @@ |
65 | 68 | }, |
66 | 69 | { |
67 | 70 | "cell_type": "code", |
68 | - "execution_count": 4, | |
71 | + "execution_count": 6, | |
69 | 72 | "metadata": {}, |
70 | 73 | "outputs": [ |
71 | 74 | { |
72 | 75 | |
73 | 76 | |
74 | 77 | |
75 | 78 | |
76 | 79 | |
77 | 80 | |
78 | 81 | |
79 | 82 | |
80 | 83 | |
81 | 84 | |
... | ... | @@ -86,63 +89,57 @@ |
86 | 89 | }, |
87 | 90 | { |
88 | 91 | "cell_type": "code", |
89 | - "execution_count": 26, | |
92 | + "execution_count": 19, | |
90 | 93 | "metadata": {}, |
91 | 94 | "outputs": [ |
92 | 95 | { |
93 | 96 | "name": "stdout", |
94 | 97 | "output_type": "stream", |
95 | 98 | "text": [ |
96 | - "Model: \"sequential_5\"\n", | |
99 | + "Model: \"sequential_4\"\n", | |
97 | 100 | "_________________________________________________________________\n", |
98 | 101 | " Layer (type) Output Shape Param # \n", |
99 | 102 | "=================================================================\n", |
100 | - " dense_14 (Dense) (None, 10) 7850 \n", | |
103 | + " dense_9 (Dense) (None, 10) 7850 \n", | |
101 | 104 | " \n", |
102 | - " dense_15 (Dense) (None, 10) 110 \n", | |
105 | + " dense_10 (Dense) (None, 50) 550 \n", | |
103 | 106 | " \n", |
107 | + " dense_11 (Dense) (None, 10) 510 \n", | |
108 | + " \n", | |
104 | 109 | "=================================================================\n", |
105 | - "Total params: 7,960\n", | |
106 | - "Trainable params: 7,960\n", | |
110 | + "Total params: 8,910\n", | |
111 | + "Trainable params: 8,910\n", | |
107 | 112 | "Non-trainable params: 0\n", |
108 | - "_________________________________________________________________\n", | |
109 | - "Epoch 1/10\n", | |
110 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.7754 - accuracy: 0.7699\n", | |
111 | - "Epoch 2/10\n", | |
112 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.3596 - accuracy: 0.8988\n", | |
113 | - "Epoch 3/10\n", | |
114 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.3038 - accuracy: 0.9142\n", | |
115 | - "Epoch 4/10\n", | |
116 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.2782 - accuracy: 0.9214\n", | |
117 | - "Epoch 5/10\n", | |
118 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.2628 - accuracy: 0.9265\n", | |
119 | - "Epoch 6/10\n", | |
120 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.2522 - accuracy: 0.9291\n", | |
121 | - "Epoch 7/10\n", | |
122 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.2446 - accuracy: 0.9311\n", | |
123 | - "Epoch 8/10\n", | |
124 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.2390 - accuracy: 0.9321\n", | |
125 | - "Epoch 9/10\n", | |
126 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.2348 - accuracy: 0.9333\n", | |
127 | - "Epoch 10/10\n", | |
128 | - "469/469 [==============================] - 1s 2ms/step - loss: 0.2301 - accuracy: 0.9351\n", | |
129 | - "313/313 [==============================] - 0s 1ms/step - loss: 0.2358 - accuracy: 0.9323\n", | |
130 | - "Test score: 0.23583918809890747\n", | |
131 | - "Test accuracy: 0.9322999715805054\n" | |
113 | + "_________________________________________________________________\n" | |
132 | 114 | ] |
115 | + }, | |
116 | + { | |
117 | + "ename": "NameError", | |
118 | + "evalue": "name 'EarlyStopping' is not defined", | |
119 | + "output_type": "error", | |
120 | + "traceback": [ | |
121 | + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
122 | + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", | |
123 | + "\u001b[0;32m/var/folders/m6/l3x11zj94l3dp3wnxy1vnscc0000gn/T/ipykernel_25908/4165624864.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;31m# patience ๋งค๊ฐ๋ณ์๋ ์ฑ๋ฅ ํฅ์์ ์ฒดํฌํ ์ํฌํฌ ํ์์ ๋๋ค\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0mearly_stop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mEarlyStopping\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmonitor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'val_loss'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpatience\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'categorical_crossentropy'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'adam'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetrics\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'accuracy'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | |
124 | + "\u001b[0;31mNameError\u001b[0m: name 'EarlyStopping' is not defined" | |
125 | + ] | |
133 | 126 | } |
134 | 127 | ], |
135 | 128 | "source": [ |
136 | 129 | "model = Sequential(\n", |
137 | 130 | " [\n", |
138 | 131 | " Dense(10, activation='relu', input_shape=(784,)),\n", |
132 | + " Dense(50, activation='relu'),\n", | |
139 | 133 | " Dense(10, activation='softmax'),\n", |
140 | 134 | " ]\n", |
141 | 135 | ")\n", |
142 | 136 | "model.summary()\n", |
143 | 137 | "\n", |
138 | + "# patience ๋งค๊ฐ๋ณ์๋ ์ฑ๋ฅ ํฅ์์ ์ฒดํฌํ ์ํฌํฌ ํ์์ ๋๋ค\n", | |
139 | + "early_stop = keras.callbacks.EarlyStopping(monitor='val_loss', patience=10)\n", | |
140 | + "\n", | |
144 | 141 | "model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])\n", |
145 | - "model.fit(X_train, Y_train, batch_size=128, epochs=10, verbose=1)\n", | |
142 | + "history = model.fit(X_train, Y_train, batch_size=128, epochs=50, verbose=1, validation_split=0.2, callbacks=[early_stop])\n", | |
146 | 143 | "\n", |
147 | 144 | "score = model.evaluate(X_test, Y_test)\n", |
148 | 145 | "print('Test score:', score[0])\n", |
... | ... | @@ -151,7 +148,51 @@ |
151 | 148 | }, |
152 | 149 | { |
153 | 150 | "cell_type": "code", |
154 | - "execution_count": 24, | |
151 | + "execution_count": 18, | |
152 | + "metadata": {}, | |
153 | + "outputs": [ | |
154 | + { | |
155 | + "data": { | |
156 | + "image/png": 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", | |
157 | + "text/plain": [ | |
158 | + "<Figure size 576x864 with 2 Axes>" | |
159 | + ] | |
160 | + }, | |
161 | + "metadata": { | |
162 | + "needs_background": "light" | |
163 | + }, | |
164 | + "output_type": "display_data" | |
165 | + } | |
166 | + ], | |
167 | + "source": [ | |
168 | + "hist = pd.DataFrame(history.history)\n", | |
169 | + "hist['epoch'] = history.epoch\n", | |
170 | + "plt.figure(figsize=(8,12))\n", | |
171 | + "plt.subplot(2,1,1)\n", | |
172 | + "plt.xlabel('Epoch')\n", | |
173 | + "plt.ylabel('Accuracy')\n", | |
174 | + "plt.plot(hist['epoch'], hist['accuracy'],\n", | |
175 | + " label='Train Accuracy')\n", | |
176 | + "plt.plot(hist['epoch'], hist['val_accuracy'],\n", | |
177 | + " label = 'Val Accuracy')\n", | |
178 | + "# plt.ylim([0,5])\n", | |
179 | + "plt.legend()\n", | |
180 | + "\n", | |
181 | + "plt.subplot(2,1,2)\n", | |
182 | + "plt.xlabel('Epoch')\n", | |
183 | + "plt.ylabel('Loss')\n", | |
184 | + "plt.plot(hist['epoch'], hist['loss'],\n", | |
185 | + " label='Train Loss')\n", | |
186 | + "plt.plot(hist['epoch'], hist['val_loss'],\n", | |
187 | + " label = 'Val Loss')\n", | |
188 | + "# plt.ylim([0,20])\n", | |
189 | + "plt.legend()\n", | |
190 | + "plt.show()\n" | |
191 | + ] | |
192 | + }, | |
193 | + { | |
194 | + "cell_type": "code", | |
195 | + "execution_count": null, | |
155 | 196 | "metadata": {}, |
156 | 197 | "outputs": [ |
157 | 198 | { |
python-notebook/test_mpg.ipynb
View file @
e90c8a5
... | ... | @@ -2,7 +2,7 @@ |
2 | 2 | "cells": [ |
3 | 3 | { |
4 | 4 | "cell_type": "code", |
5 | - "execution_count": 18, | |
5 | + "execution_count": 19, | |
6 | 6 | "metadata": {}, |
7 | 7 | "outputs": [ |
8 | 8 | { |
9 | 9 | |
... | ... | @@ -23,13 +23,14 @@ |
23 | 23 | "import tensorflow as tf\n", |
24 | 24 | "from tensorflow import keras\n", |
25 | 25 | "from tensorflow.keras import layers\n", |
26 | + "from tools import * \n", | |
26 | 27 | "\n", |
27 | 28 | "print(tf.__version__)" |
28 | 29 | ] |
29 | 30 | }, |
30 | 31 | { |
31 | 32 | "cell_type": "code", |
32 | - "execution_count": 19, | |
33 | + "execution_count": 2, | |
33 | 34 | "metadata": {}, |
34 | 35 | "outputs": [ |
35 | 36 | { |
... | ... | @@ -38,7 +39,7 @@ |
38 | 39 | "'/Users/ffee21/.keras/datasets/auto-mpg.data'" |
39 | 40 | ] |
40 | 41 | }, |
41 | - "execution_count": 19, | |
42 | + "execution_count": 2, | |
42 | 43 | "metadata": {}, |
43 | 44 | "output_type": "execute_result" |
44 | 45 | } |
... | ... | @@ -50,7 +51,7 @@ |
50 | 51 | }, |
51 | 52 | { |
52 | 53 | "cell_type": "code", |
53 | - "execution_count": 20, | |
54 | + "execution_count": 3, | |
54 | 55 | "metadata": {}, |
55 | 56 | "outputs": [ |
56 | 57 | { |
... | ... | @@ -172,7 +173,7 @@ |
172 | 173 | "397 82 1.0 0.0 0.0 " |
173 | 174 | ] |
174 | 175 | }, |
175 | - "execution_count": 20, | |
176 | + "execution_count": 3, | |
176 | 177 | "metadata": {}, |
177 | 178 | "output_type": "execute_result" |
178 | 179 | } |
... | ... | @@ -197,7 +198,7 @@ |
197 | 198 | }, |
198 | 199 | { |
199 | 200 | "cell_type": "code", |
200 | - "execution_count": 21, | |
201 | + "execution_count": 4, | |
201 | 202 | "metadata": {}, |
202 | 203 | "outputs": [], |
203 | 204 | "source": [ |
... | ... | @@ -207,7 +208,7 @@ |
207 | 208 | }, |
208 | 209 | { |
209 | 210 | "cell_type": "code", |
210 | - "execution_count": 22, | |
211 | + "execution_count": 5, | |
211 | 212 | "metadata": {}, |
212 | 213 | "outputs": [ |
213 | 214 | { |
... | ... | @@ -369,7 +370,7 @@ |
369 | 370 | "Japan 0.00 1.0 " |
370 | 371 | ] |
371 | 372 | }, |
372 | - "execution_count": 22, | |
373 | + "execution_count": 5, | |
373 | 374 | "metadata": {}, |
374 | 375 | "output_type": "execute_result" |
375 | 376 | }, |
... | ... | @@ -397,7 +398,7 @@ |
397 | 398 | }, |
398 | 399 | { |
399 | 400 | "cell_type": "code", |
400 | - "execution_count": 23, | |
401 | + "execution_count": 6, | |
401 | 402 | "metadata": {}, |
402 | 403 | "outputs": [], |
403 | 404 | "source": [ |
... | ... | @@ -412,7 +413,7 @@ |
412 | 413 | }, |
413 | 414 | { |
414 | 415 | "cell_type": "code", |
415 | - "execution_count": 24, | |
416 | + "execution_count": 7, | |
416 | 417 | "metadata": {}, |
417 | 418 | "outputs": [], |
418 | 419 | "source": [ |
419 | 420 | |
... | ... | @@ -433,14 +434,14 @@ |
433 | 434 | }, |
434 | 435 | { |
435 | 436 | "cell_type": "code", |
436 | - "execution_count": 25, | |
437 | + "execution_count": 8, | |
437 | 438 | "metadata": {}, |
438 | 439 | "outputs": [ |
439 | 440 | { |
440 | 441 | "name": "stderr", |
441 | 442 | "output_type": "stream", |
442 | 443 | "text": [ |
443 | - "2022-02-17 16:36:25.433421: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n", | |
444 | + "2022-02-21 18:59:10.451428: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n", | |
444 | 445 | "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n" |
445 | 446 | ] |
446 | 447 | } |
... | ... | @@ -451,7 +452,7 @@ |
451 | 452 | }, |
452 | 453 | { |
453 | 454 | "cell_type": "code", |
454 | - "execution_count": 26, | |
455 | + "execution_count": 9, | |
455 | 456 | "metadata": {}, |
456 | 457 | "outputs": [ |
457 | 458 | { |
458 | 459 | |
459 | 460 | |
... | ... | @@ -482,25 +483,25 @@ |
482 | 483 | }, |
483 | 484 | { |
484 | 485 | "cell_type": "code", |
485 | - "execution_count": 27, | |
486 | + "execution_count": 10, | |
486 | 487 | "metadata": {}, |
487 | 488 | "outputs": [ |
488 | 489 | { |
489 | 490 | "data": { |
490 | 491 | "text/plain": [ |
491 | - "array([[-0.10623884],\n", | |
492 | - " [-0.0092403 ],\n", | |
493 | - " [-0.09777171],\n", | |
494 | - " [-0.0091932 ],\n", | |
495 | - " [-0.3904128 ],\n", | |
496 | - " [-0.06228563],\n", | |
497 | - " [-0.3566698 ],\n", | |
498 | - " [-0.5763702 ],\n", | |
499 | - " [-0.0279588 ],\n", | |
500 | - " [-0.40395904]], dtype=float32)" | |
492 | + "array([[0.5112119 ],\n", | |
493 | + " [0.26631027],\n", | |
494 | + " [0.6957131 ],\n", | |
495 | + " [0.53957933],\n", | |
496 | + " [0.51326776],\n", | |
497 | + " [0.3375991 ],\n", | |
498 | + " [0.57435524],\n", | |
499 | + " [0.8451005 ],\n", | |
500 | + " [0.54402167],\n", | |
501 | + " [0.5616411 ]], dtype=float32)" | |
501 | 502 | ] |
502 | 503 | }, |
503 | - "execution_count": 27, | |
504 | + "execution_count": 10, | |
504 | 505 | "metadata": {}, |
505 | 506 | "output_type": "execute_result" |
506 | 507 | } |
... | ... | @@ -513,7 +514,7 @@ |
513 | 514 | }, |
514 | 515 | { |
515 | 516 | "cell_type": "code", |
516 | - "execution_count": 28, | |
517 | + "execution_count": 11, | |
517 | 518 | "metadata": {}, |
518 | 519 | "outputs": [ |
519 | 520 | { |
... | ... | @@ -551,7 +552,7 @@ |
551 | 552 | }, |
552 | 553 | { |
553 | 554 | "cell_type": "code", |
554 | - "execution_count": 29, | |
555 | + "execution_count": 12, | |
555 | 556 | "metadata": {}, |
556 | 557 | "outputs": [ |
557 | 558 | { |
558 | 559 | |
559 | 560 | |
560 | 561 | |
561 | 562 | |
... | ... | @@ -587,52 +588,52 @@ |
587 | 588 | " <tbody>\n", |
588 | 589 | " <tr>\n", |
589 | 590 | " <th>995</th>\n", |
590 | - " <td>2.500433</td>\n", | |
591 | - " <td>1.000197</td>\n", | |
592 | - " <td>2.500433</td>\n", | |
593 | - " <td>11.472550</td>\n", | |
594 | - " <td>2.508417</td>\n", | |
595 | - " <td>11.472550</td>\n", | |
591 | + " <td>2.563871</td>\n", | |
592 | + " <td>0.989101</td>\n", | |
593 | + " <td>2.563871</td>\n", | |
594 | + " <td>9.965034</td>\n", | |
595 | + " <td>2.524732</td>\n", | |
596 | + " <td>9.965034</td>\n", | |
596 | 597 | " <td>995</td>\n", |
597 | 598 | " </tr>\n", |
598 | 599 | " <tr>\n", |
599 | 600 | " <th>996</th>\n", |
600 | - " <td>2.405449</td>\n", | |
601 | - " <td>0.969858</td>\n", | |
602 | - " <td>2.405449</td>\n", | |
603 | - " <td>11.598408</td>\n", | |
604 | - " <td>2.482901</td>\n", | |
605 | - " <td>11.598408</td>\n", | |
601 | + " <td>2.482039</td>\n", | |
602 | + " <td>1.013534</td>\n", | |
603 | + " <td>2.482039</td>\n", | |
604 | + " <td>10.070007</td>\n", | |
605 | + " <td>2.518338</td>\n", | |
606 | + " <td>10.070007</td>\n", | |
606 | 607 | " <td>996</td>\n", |
607 | 608 | " </tr>\n", |
608 | 609 | " <tr>\n", |
609 | 610 | " <th>997</th>\n", |
610 | - " <td>2.468478</td>\n", | |
611 | - " <td>1.011330</td>\n", | |
612 | - " <td>2.468478</td>\n", | |
613 | - " <td>11.822487</td>\n", | |
614 | - " <td>2.496955</td>\n", | |
615 | - " <td>11.822487</td>\n", | |
611 | + " <td>2.757296</td>\n", | |
612 | + " <td>1.029885</td>\n", | |
613 | + " <td>2.757296</td>\n", | |
614 | + " <td>9.647966</td>\n", | |
615 | + " <td>2.342796</td>\n", | |
616 | + " <td>9.647966</td>\n", | |
616 | 617 | " <td>997</td>\n", |
617 | 618 | " </tr>\n", |
618 | 619 | " <tr>\n", |
619 | 620 | " <th>998</th>\n", |
620 | - " <td>2.478367</td>\n", | |
621 | - " <td>0.988899</td>\n", | |
622 | - " <td>2.478367</td>\n", | |
623 | - " <td>11.631916</td>\n", | |
624 | - " <td>2.503966</td>\n", | |
625 | - " <td>11.631916</td>\n", | |
621 | + " <td>2.602165</td>\n", | |
622 | + " <td>0.985977</td>\n", | |
623 | + " <td>2.602165</td>\n", | |
624 | + " <td>10.430404</td>\n", | |
625 | + " <td>2.557013</td>\n", | |
626 | + " <td>10.430404</td>\n", | |
626 | 627 | " <td>998</td>\n", |
627 | 628 | " </tr>\n", |
628 | 629 | " <tr>\n", |
629 | 630 | " <th>999</th>\n", |
630 | - " <td>2.387425</td>\n", | |
631 | - " <td>0.974386</td>\n", | |
632 | - " <td>2.387425</td>\n", | |
633 | - " <td>11.652516</td>\n", | |
634 | - " <td>2.505530</td>\n", | |
635 | - " <td>11.652516</td>\n", | |
631 | + " <td>2.558363</td>\n", | |
632 | + " <td>1.014585</td>\n", | |
633 | + " <td>2.558363</td>\n", | |
634 | + " <td>9.928759</td>\n", | |
635 | + " <td>2.429059</td>\n", | |
636 | + " <td>9.928759</td>\n", | |
636 | 637 | " <td>999</td>\n", |
637 | 638 | " </tr>\n", |
638 | 639 | " </tbody>\n", |
639 | 640 | |
... | ... | @@ -641,14 +642,14 @@ |
641 | 642 | ], |
642 | 643 | "text/plain": [ |
643 | 644 | " loss mae mse val_loss val_mae val_mse epoch\n", |
644 | - "995 2.500433 1.000197 2.500433 11.472550 2.508417 11.472550 995\n", | |
645 | - "996 2.405449 0.969858 2.405449 11.598408 2.482901 11.598408 996\n", | |
646 | - "997 2.468478 1.011330 2.468478 11.822487 2.496955 11.822487 997\n", | |
647 | - "998 2.478367 0.988899 2.478367 11.631916 2.503966 11.631916 998\n", | |
648 | - "999 2.387425 0.974386 2.387425 11.652516 2.505530 11.652516 999" | |
645 | + "995 2.563871 0.989101 2.563871 9.965034 2.524732 9.965034 995\n", | |
646 | + "996 2.482039 1.013534 2.482039 10.070007 2.518338 10.070007 996\n", | |
647 | + "997 2.757296 1.029885 2.757296 9.647966 2.342796 9.647966 997\n", | |
648 | + "998 2.602165 0.985977 2.602165 10.430404 2.557013 10.430404 998\n", | |
649 | + "999 2.558363 1.014585 2.558363 9.928759 2.429059 9.928759 999" | |
649 | 650 | ] |
650 | 651 | }, |
651 | - "execution_count": 29, | |
652 | + "execution_count": 12, | |
652 | 653 | "metadata": {}, |
653 | 654 | "output_type": "execute_result" |
654 | 655 | } |
655 | 656 | |
... | ... | @@ -661,12 +662,12 @@ |
661 | 662 | }, |
662 | 663 | { |
663 | 664 | "cell_type": "code", |
664 | - "execution_count": 30, | |
665 | + "execution_count": 18, | |
665 | 666 | "metadata": {}, |
666 | 667 | "outputs": [ |
667 | 668 | { |
668 | 669 | "data": { |
669 | - "image/png": 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oR6ylJXvJJ1l9+iIikpDiVdM/HBhgrS02xmTgmvnvjVNZYiY92Uu+VZ++iIgkpniN3i+w1hYDWGtzcQvs1HvpKV72WNX0RUQkMcWrpt/LGDPb99wA3XzbBrDW2v5xKleNZJQG/Zx4F0VERKSceC6tu9fJSEkit0Q1fRERSUxxCfrW2lXxuG5ty0jxkluSpD59ERFJSHEJ+saYnYAN3uXb9jfvN45HuWrKH/RtUd7eMUhBRET2KvFq3p8EtAXeBSZYa3+LUzliKj3Fy26bqtz7IiKSkOKVke804FhgM/AfY8w3xpg/GWOaV3WuMSbNGDPFGDPLGDPPGHN3bZc3UhnJXnJsJqYoDwrVry8iIoklXlP2sNZmW2tfwGXmewa4B7gwglPzgSOstQOAgcBxxpiDaquc0chISWIHjdxG3o64lkVERKSsuKXhNcYcAowGDgO+B0631n5X1XnWWgvs8m0m+35sxWfUnfQULztsptvYsx2y2sa3QCIiIkHiNZBvJbADmABcBhT59g8GsNbOqOhc33FeYDqwH/CktfaXMq9f5ntf9tlnn9gWvhIZKV6yCQr6IiIiCSReNf2VuNr5scAxhGbks8ARlZ3sy+Y30BjTFHjPGNPXWjs36PXxwHiAIUOG1FkrgKvp+5r3FfRFRCTBxGue/sgYvc8OY8xk4DhgblXH17aMlCSyUdAXEZHEFK9V9gZX9xhjTCtfDR9jTDpwNLAwpgWspoyyffoiIiIJJF7N+y8YY0ZS+UI7zwGDwuxvB7zk69f3AG9aaz+KeQmrISPFyy7SKTFePHt2xLs4IiIiIeIV9JvgBuJVFvQ3h9tprZ1N+JuBuMtISQIMBUmNSVNNX0REEky8+vQ7x+O6tS0jxQvAHgV9ERFJQHFLzrM3Sk3yYAzs8WbBnm3xLo6IiEgIBf0YMsaQlZrETk9jyFXQFxGRxBK3oG+cTvG6fm1p2SiVbTSG3K3xLoqIiEiIeObet8An8bp+bWnZKJVNxVmwezPYhMgOLCIiAsS/eX+GMebAOJchplpmpbC+KBOKCyB/Z7yLIyIiUipuC+74DAPON8asAnbjpvBZa23/+Bar+lo2SmVNvi9BT+4WSGsc3wKJiIj4xDvoHxvn68dc04wUZhdkQgqwews07xrvIomIiABxbt631q4CmgIn+36a+vbVW80yktlqfbX73VviWxgREZEgcQ36xpirgdeA1r6fV40xV8WzTDXVLCMlEPRzFfRFRMRnXBP47Ja4FiHeA/kuBoZZa++01t4JHARcGucy1UiTjGS24q/ph80kLCIiDY1/NtfPT8W1GPEO+gYoDtoupvJ8/AmvWUYK+aRQlJQJOzfGuzgiIpIIigvjXQIg/gP5XgB+Mca859s+Dbe6Xr3VND0ZgB1ZPWi57tc4l0ZERBJC0Z54lwCIY9A3xniAn4GvgUN9uy+y1tbrSNksIwWAdVl9abn2DdekY+p144WIiNRUYQMP+tbaEmPMk9baQcCMeJUj1rLSkvAY2G6auQQ9BbsgNSvexRIRkXhKkKAf7z79ScaYM43Ze6rCHo+hSXoyW0sy3A4tsSsiIgr6APwReAvIN8bkGGN2GmNy4lymGmuWkcKWIn/Q3xHXsoiISAJIkD79eK6y5wGOs9Z6rLUp1trG1tosa229z1vbJCOZTUWq6YuIxMQHV8Hcd6t37sO94JMbKz+mYDfs+K167x+pwrzaff8IxXOVvRLgiXhdvzY1y0hhfX6q28jbEdeyiIjUezNehrcvqt65O9fDlPGVH/Pfc+HRfrFbGbW4KHT7p6dg7fTYvHcNxbt5f6/r0wc3be83/6I7i7+Ib2FEROqz6gTircvg+eMhLzuy41d+5x4Ldkd/rWBF+TD3Hbi3Bcx+0+3L3Qaf3wJf3lGz946ReAf9vbJPv2lGCsv3+Jr3Z74K62fFt0AiIrVhx2+QV8t/sovyoz/n6wfgtx9h/vvRnVeTLKp5OXBfa3h7rNv21+wXf17+2Dh2+8Y1OY+1dq+cy9YsI5ndBSWQ5tuhhXdEZG/0aD9o1Rv+/HPtXaMwN/pzvC5fSsTB1XjBFsOWJfDYQLfvphWQ0dw9Ly6E7NWhq6a+dZHrvj3t37BuBqQ3C33Pee9BzlpY8GH56/1f59D3r0NxqekbY34f9Hx4mdeurPsSxVbTDJeVb9voj90O9euLyN5q84KKX9u1Gb7/Z836yqvT5O4P+r9FeDOS7GuZ/eHRwL5Pb4J5/3PPJ46DxwbBzg2u2f6dS2Deu7DsK3j2SHj9PHi+zErxuzaGD/h+E34Hb45xZZz5X8jfGVlZayheNf3rgFd9zx8HBge9NpZ6PsCvqS8r37bkdjQHjeAXkb1PuED+UE/ochic+azbfvsi11/e/Rhos3/1rhOupr/jN/jyTlj5A9y4pPzr/qC/6JPQc3ZugNa9YfNiSMmA5d/A+plQ4Au4q34IHD/nLffz5T6Bkf3vXBLo//fLXh26PewK+OXp0H1Z7WHnutB9v/3kHv1dEI3awH5Hlv8sMRavoG8qeB5uu95p0cj9wm0uSmM/UNAXkb1PUdAUtF2bYM002LXBBUp/0N/iC8ixrOn/9nNorXrP9kDTenEhrJ4C3uTy7/Nov+pdP3gqX9mAH86xf4Mex8Irp7ntriPh9GcgOd0NMPzPqPLnnPsqdA2zvxbEK+jbCp6H2653WjZy0/W27DGQnKkEPSKy9wnOMDfhd7Bmavljcrf6jo2iX76kBHasDPSfB5+7bmb5ZvR5/4MW+0G7/vDLMzD5fmjTN/LrRWvsFy5vwJZFcPp4eO+ywGtN9wWPB7qNgts3wcZ50CGoIbvDYLhljRv0t2YKbFroyt775NorbxnxCvq9jDGzcbX6br7n+La7Vnxa/dAi09X0t+7Kh6y2sG15nEskIlIDuzbDq2fAOS8FBeOgoF9RYpsS33KyBbsiv9bEu+DHx+C6BdC4PRQEBf3xI8of/9E1gedtfbX5jXPd46lPwft/iuy66c3h1Cdds/uPj7l91y9yze6vnuFaHPqcCvsMgz//4m5oMlq4oD/sChh2WehgvqTU0IDvl5rlfpqcDtXs8aiJeAX93nG6bp1olpGCx8DW3QWw78FuMMfmxbDgfTjsBq26JyL1y6+vwIbZbjBbr5PgvNdCg/6ujZWf//ntcOFHbjR7m77ww7+gZXeY/hJsmu9ea9bZHTvV1zXw66sw/BqY/kLk5dwwJ/C8cUcYdD5883+wY5Xbd8Tt8NV9oef0P9fVvI+5D1ruB71OgLQmbnBfVlt3zB/eCz3HGMhs6Z7ftaNe/U2PS9C31q6Kx3XrisdjaJ6ZypZd+dDtcPfL++SB7sUhF8dlmsZeZ9lX0GUEeLzxLkniKS50I4wHjHZNjQ2Vte4P/oDzAgGlocrf5fq5k1KjP7ekGCbdHdhe+JFrgq8sl3zZJcU3zXO15XW/wmVfu9p8sCeHuTECV/wYaM6ffL/rn1/6ZXTlbd7Vta7mrHHbJz0Cr57pnielwzH3Q+N2MOle2L4CDvoTtB8Y+h6H3xD59epRwIf4J+fZa7VslMKWXQXQ5XBCxiZG08wl4S37Cl45Hb57JN4lSUw/POqaNOe+E++SxNf2lS5Jy4TfV3lojc1+E755MPxr0QzkXf4NrA7TN14Va12q2oJc9zjlP6GvP9ABnjum8vcY1wQ+urb8/txt5fdtX1F5Up67m8LSSaH71v3qHsePLH+8f1Dg04eE7q8s4Ge0gEsnw53bYFy2yxcAcOAlsM/BrgYPsN9Rrh/94CthyFg45EroeyYccKF73V+bbyAU9GtJi0Yprk+/cbvQaRi1nb2qIdi5wT1uXRrfciSq7LXusa7zQ2xbUb3sabWlpNg9bl7ggmC0I8hX/Rj53Ol3L4XJ95Xfv3GeS8Qy642Kz10/GxZ95p6/fAo8d1Rk1/Qv4FK4x9W+P7jK1Y4/uAo+ucHd9KyZFhhBv36mGz3+xe2upu635MvAuKNpz7vtrcsC319umORijw+G10dXXr5Xz4jsc0QqxZfLrWVP93juq67P3N/a1933ve1zMIz9DM4IyrefmgXH3u+m6fkNv9olyGlgQT+uGfmCGWOaAZ2stbOrPLgeaJGZyqztO9zGaf+Gh/Zzz/MV9COWv9M1VZfrDvG3nNT7iR61wz94ylOH/70LdrtMZv3PDf1jW5FVP7p+4P1Pr53ybF7sRkcDlBS5IGiMqwVW5MOrXbC78CP3eV44HvYdDhd9UvE5ZRXkhgaWNdPc47JJMODc8Oc8c5h7HBeUJ/77f7qEMNfOh+J8WPWT658Oft9nj4QxH7hWL+sP0EG18n8NKH+t5491qWb7nAZrZ8DQS+G1s0KP8W8f9Gdo0Q0+vi58ufMjzGtfHYMvgP7nQKdhbkR+cYEL5tuWQ7+zYckX0Omg0HNG3Q6H/AUatY7sGsY0yK7WuAZ9Y8zXwCm+ckwHNhljfrDWVvBbVn+0bJTKlp2+Wo9/wAe4u/p9D3EDTpLS3cARCe/R/rBnW+gfQwj0ocVqRay9QUmxu0FKTgvU0Ooy6Of7uq2WlGmOzVkHGNfiFeyF491jbQV9/xiaYB9fX3nQn/5i4Ln/8wQna/ErzHOtKOFqiNmroVXPwPYeXxBOyayqxKEmjnOPb5wPOevd/PeM5q678JdnAs3hiz4JBHyAWf+t/H39ueWf9bU+tupR8bE/PxldmcEF5DlvwWHXu8VuSoogtXFgNDy4gN7rRNcylJLhytT/XNcNktbEteR1Gho4/pCgJK37Huwee59U/trJae5HKhXvmn4Ta22OMeYS4GVr7V1B0/fqtTaNU9ldUExOXiGN05JdwobPb4XP/grD/gj/PtQdWDag1UdLJ0H7QbG/a94Tpi9RwvvgL25xp3HZLviDqyFGasW3Lp9En1Pc9kfXubETV8+M7Hz/WBX/DdnSSS4r2ku+P86V/Z5vmOMG3J35PCT5MqlZ64JAVb9T1rqpU8E31hUxEQ76zMsJHXuzdoa7zrNHwOE3wqYFrjn9zu0uFet+Qc3xc9+FUbcEttfNdI/+aWfWwuw3XPKW9Gah/f3+f7dg/n5wcKle/edktfeVtYZ/Pz74S/TntB/scs2X1W6gGx3fth8cfFXoINIj73TdCj2OhW5HhH/fJh3dY9N9oi+TRCzeQT/JGNMOOAe4Lc5liamOzVwT39rte2jcLtkNHPn8Vvfi3U0DB+7aBJmt3PN6NgoUcM2gr54BHYfCJWVqeeNHuSa6g66I8UWjaN5fO8P1bfaNcf9isG3LIaVR+WbFdy8DWxLIThaJSfe65vmj74muDDN9Wa0Lcl3tClzN9oCxkY3gf8mXHOSgP7tA89uPFR9rrZt65f8jDUF9375/m4r6cwtyQ6dgbV4UuAG+rxWc8rhrqdi10Q3C+91b0CPMALQ9O9xo9Okvuv9X18xxweKjayvO1W5L4MNrILWRC0rPHgnnvuJuWINtX0HI4NvgDGrfBg3We+E4WP0LDAwaKPjN32HFN3DiIy4wLpvs9u9c7xZg2bzIfa7MVuVXdPMnsqmM/ybBn9J11uuVH9/xQBhxM7x2ZvnXstoHprKV1aSTm/WQvab8NS7+EtZOczd1JcWBMQgXfuy+2+FXl38/bzIc/3+Vl1XqRLyD/j3A58AP1tqpxpiuQJhEyvVPh2bpgAv6vds1dv/Jk9LLT3PJWQeT/+b+EEZS689Z787peEAtlLoa/IOJNi8q/9q6Ge6npkG/uDA0rab/5mjPdnjyIBdU21aQgcv/BzuaoL9xnhtFPOYD6DrCfd/bV7puGXBBqtfJMPKvbvuxQe7f9vYNoe8z2zd4q7Kg/93DLvkHxqXp/O4ht7+qoF+UDxPvdlOLgmvDuVtDa4z3NIMex8HoCeVvKvN3uWsGT3usrEl3z3b49TU37euTG+CP30I7X7+xP+jnbgltJvcb1wRGv+GO89/8ghtpHuyDq9xjC1+31/YV5d9rxivwwZUuMDVq4/bN9r33tOcrLj82cMMx/33XFP/dIy7wFxcFDvvukcgWeVn9i3ssGzh/+wmePrj8sSu+CWyHW8LVPwAzUt7UqltzDrnKDXC7YYkbbDhkrGvV6XeOa0IProC06et+x3se726E/IlmygZ9bxLsU6Y/HVzAl4QX76V13wLeCtpeDoS5Ja1/OjT1Bf0dviDv8bppI/e2CD1w7bTAH6Ki/PDzaK11c1dTMuHxA6Bwd826Be5tBUMvc6NZa6rQ98exNhsp8rJDm2/9fdZLJ7rH7x6Cs18MvJ69xo3WTUoP7CsqCDQdV8W/Mtfcd1zQ//ehLpiOvMU1726Y4378QR8qn7Nc1orvAouPTIqyRu83910XoIsL4MSHAvtzt5Yfbb34M9dPGtyvnr8THujogsIxYUad+/m/t1U/wvwPQhcSWT0F0pq6bGxTg25sPgxT0wN4/VzXzRUs3HQwCMzMyMuBWRPcjUt6U5j9lgv44IK2v3WlbMKVso68K3SuuT+DnMcLO1bDo0E3jfP/V/l7lVXVCP/UJpENenu2gmbvivQ9IzQgZ7SEDgfAks/d9LWhl7gMcuC+pzG+hV38+wBOexr+dwWc+ZzrZ08O+j/jN3qCy1aXlx3+9TEfaIByPRLvgXxdgX8BB+Haan8CrvUF/3qtZaMUUpM8gaAP7g55+NUuG5Xfx9cHnmevcaNl92x3/YYlRTDtBbcq1OT74a+rAkG2bPKLsvJ3ulzY4frPigvgpydiFPR9n8+UaUIOrjlVZe1011ToT6FZ1p4dZYJ+mb7PtCaB5/k74Z/7Q6O2oYN6dm2Epp0iK0+Kr8bir+35m12/fqB8GaOdopa7LdDPXZnZb7qukYLdrjXgpyddi4E/R7f/96BsTS93i2sNKmvPttCgv9A3In3mf93NTEWWfOF+H/2BNtgnN7isZdHkVZ/zduh22RXKyvJPg+tzGgweA++WGYgX6RTYipLzzHvP/USrbX847Sl460I3Fa7SY/vBqu/Dv3bWC25QYPD8+OMfhE9vdM8v+NDdeGU0d5k910x109R++JfL837BR+7mdPoLbiT+ode5ABzJGAeAgb9ztX5vJaGg5/GVv0fXMKlxJWHFu3n/v8CTgH8I73nA68CwuJUoRowxdGiaztrtZWqAR90NPY53fXJvjw197fHBcPn3bhCVf7oRwGLfyN9dmwL7ivJDg9rCj+Hnp90fCWPgnUth8acud3RWW9e32Pmw8gW11jXNt+5VvQ9a2gwadANSXBR+znJF/uO7Mamo9WLZVzDjJddnO/RSd9MSLLVx4Pkq33KVu8o0te/cEBr0rXV/QPN3ujwKhXmwe5O7hr+5e+7b5aefTfhd6PbuMHOYyyoqcE27Pz4GJz1a9fHgmmL3P939cf/uYbfvjd9D92Nds6w/t/iMl6Fl0AjsyQ9Adpg86DtWww+PweA/QOMOgUVCcrfC39pXXI43zq/4NYgu4ENgANiIv7rBe5GsWgbudzTcOIGtlfQGthsAHYa4VpWUCJqez3rezef3L3laVt8zAwmPWnZ3wbxR20CrxNH3uOVeywoO+kP/6Ea2P+z7N/N3O311f6CFpuMBcM1c9/84eNxEcB73LiPcdnozt5Tt4Te6QJ+UAkkRBny/ygK+7HXi/a+dYa19JWj7VWPMjXErTYx1aJbOmh1lgr4xgWkna6aX70P1D2oK5q/VTQkKQEsnuj8S/qxS/mBUsNv1rfmDQuEeWDLRDeQ54KJAv7TfnLdd7en8t6H70VF/xtI/+nu2uZHAJz4Ciz5284zL2rHa1exWfu/m3G5dGuiTBbi/PfzhXddEueDDwP5Pg34lep8M3wY1Z4Pro3xgHzj6blfzDCe4D3XPDvhX/8DI57/8Cs8f51oDblkTmlN84ccVf/aC3b4paT7fPwqHXuOeB/er79nmmlB3bw7M245Ezrry2dyWfO5+gn1xe+D5Wt/7j7zFtUz4ve6bI755QWi3R7yMutUF/UhtXhB4fsCFMOedwBroB1zocrS/dIq74blhibuZad4t0KWzpZJETh2HwtkvuAC7empo0A9umh91m5tmtm6GG08AcNqTrsutpMilc23UxvWNt+3rfoff+L2bcrbsK+h/tgvO4Fq29g+6iel7hvv/fc3cyFqkyq673qRD1eeIEKegb4zxjzz61BhzMzAB17x/LhBFJozE1qFpOgsWbKr4gOP+Bv3OdNmxPrke1s+q/A2nBqXW9NfAlk50man8ti51P/5+78LcQE1k+gvlF6/Y4LvmhtmVB/1Fn7oMXCc+FDrXOThAzngJDrw4/Ipbiz+H/55T+ecr3O2Sh7Te3+XqDufhnuX3+ZtXP7rG1SDD2brUfVfdjnRzyYOnOj0WNHr7u4cD06EA3vxDxeUtO91p4l2uFt6sS2BAHriR7q16uaBfNmBXJntN6JrlkTr5X65WGhz0/YJ/x44a527Epj3ntk990o1uL9t9EsyT5AKcN9X9LvgH3o1+wzUrz3nLdQmAW1baf8MKLvvZM4cHfn/GfuG+k/RmrhYf/Fl7nxy48dvvqMD4DXALqdywKNBCcdCfoXkXtyjK2umu/7rsTIqW+8FtG9ziLq+c4ZrUz3nFV1tuHkioc9h1roWg01BY8AFg3L/r2S+5rrcLPnRz4/0Bu1lnuGOLaznyeNyI9+DP4G+9+tPPobMo7igzkO+Y+133RaRdUCLVZGwcEpwYY1bggny4TmlrrY3Z8rpDhgyx06ZFUbuKoccnLeHhLxez8N7jSEuOcI7wwo9dE+PyyZFfaFy2Gx0NLh917lbXx25L3PSaFd+EH+g07Ar3B3zqf2DkrYGBaTnr3Ajpw28M/KHyvz/An6e6P4DvXe66GIJHYLftF7rSFbjc2JPucTnh463DkEBtuCKHXgffVzOvf5NOro/z11dD92e0DJ/OtFUv2Lww/HtltnI3EMFdPcH2OTi0VnrqUy5g+WcyBP+bgRv74L/ZGft5YAT2yh9cv/YJD7qWqNxtrkXmmcNDz794ogvML50EA893XRX3tXJB86++UfYlxW7mQ6uerjz/u8L9Lg7+gwveFY1FyVkHjwQtvnn94kAT+E0r4MWTAjeCo26DETe5gYQte7gBftHYvdU10x94SdXTGa11nzncADaRBGaMmW6tHVJufzyCfmWMMcnW2kqqGtGJZ9B/d8YarntzFpOuH0G3VlFOZ5n2Qug60ZW5cho8Ue7fNmDQ78sHobL2OxpGv+6mxr12jquRXjwR2vV3A7aCA/vA890f3n/2iax84NKZhstuBi6X9pYwU/7qm7I120gceEnoyPdw+p7lApy/rz69OZzxH9dXPf1F6Hmcu6k7+6XQaVMTx7kWjsYd3BS1iz51I/kLdrsbm0gC3p7trsb981NwyUTXNz5lvBtkmN7MjaHIahNYY70mfn4aPrsZ9jkExn4K21e5m9IW3dzrCz923Vi/e9MleRGRCiV00DfGGOAI4HfASdbaNlWcErF4Bv3Za3ZwyhM/8PT5gzm+X7uqTyircI9LuRm8DOV5/y0/mCyWehzn+rxX+6atHX5jaEKS0nK8DhOqWHAjElnt3OIY4fKER6NN38A4hmAdD3QD9iLRYr9AV4g3xfWLB0/z8ht6mavRf3lH6P5Rt7lZFn6D/uAGbT02sOJrHn4TfPuPyst19D2uBeUV33jX379bvk+3Mv7FVerDMrubF7nfibTG4V/ftsI15YtIpSoK+vGesncQLtCfBjQH/gxEsZBxYuvZNotkr2HWmuzqBf3kdDcwbOM81ze/31Fu5P+Bl8K2ZW5wkJ83pfyo9mg03dclGVn8Wej+4IB/8JVuqh+4ke2xcPZLkBnhAhmVadIpfNBv3AGIMOj3PdP16ZcUue/ysOvKB/0/vBeYBllS5ILU+lluoNmA8wJB/8rp4ddVOPJO19XRsqe7qRs42v3bzn3Xrfvd83iXyXDAea42u2uza7JPSnFpX/dsi3w6ll99CPZ+rcKM2QimgC9SI3H5a2CM+ZsxZglwPzAbGARstta+ZK2NYvHpxJaa5KVzi0yWb95V9cGVOfM/cN5rMOQi9wf8xIdc8DnBN1hs6B/hyioCW5NKBgj1PgWunuVqppXpdWLgebRrtRuvywbmH70MLjDuM8wNouoYtEDKoUHrLf3+XZf8o/uxbiyB/zOX5U9LCnDOy+47AegYdKPb80Q36MrvugVu1oJfhwPgT7+Evu+Qi93YB7/gvAeHXQdnPOOSnpzyhJvu51/5y98kDa7cAEfc4Wr+47Lhyilw7RzXLH7s/XD9gsB86Msmu/UZmnWGTgcGRqB7PNEHfBGRIPGq6V8CLAaeBj601uYbY+Lfz1ALOjXPYHXZufqxMuRiNwWvzf6uCdc/6n3EzS7ovHtp4NirpsN9rcOPjD/taTe46sSH3ZSy4OlRfofd4AaOVTV+oKzTx7uR0MkZbmCax+PSjc76LzRqFTjukonw933dqOpRtwYG0vmbsf0JQFr1cO+3ebFLFZrayE23O+BCl6hl4l0uRW6vk9wNRZ/TAlPaTnvKjVnoeYIrT+P27ueuHW4aVocD3Pc46PcwwNeFcpKvHMGZ6MrKauMGqgH8/h03ij14sFqrHnvHwkoiUu/Fa/S+FzgaGA0cCUwGjgI6WWujSOVWtXj26QPc9f5c3p2xltnjjsHU9oI61rqm5nYDXNCZ+pxbC7tlT1ez3DjPNXd7k12in/Rmrg87uDb8zT9C+6X9bvGltgWXgMSfVfDGZYCB9/8U2jXgX2cgXP9zcZHLZV+2+XvHb+4zNNvXjTzPagfXVzCyPRrbV0FSmgvO1eVfLa39wJqXR0SkliVUn761thj4DPjMGJMKnASkA2uNMZOstbU4Uq1u9e3QhJd+WsV3S7ZweI9WVZ9QE8aEBqUDL3Z9w/4lRf353iHQN9qxzO9EcHa34ClhwRnNjr7HDfZr2y/Q3Dx6AtzT3E0T/OO37ubjg6vcWIGyvEnh+7uDl9S8cpqbfhgLzcKUIVoK9iKyF0iI0ft+xpjGwGnW2perPDhC8a7p78ovYsQ/JtMqK5XPrjm86hPiLX+nmzY16jbX9D3nbZfM5oxnon+vvOzQvPgiIlInKqrpJ9SwXmttTlUB3xjTyRgz2Rgz3xgzzxhTwZJeiaFRahLnD9uHxRt3kldYHO/iVC01y2Vma+zLdtbvrOoFfFDAFxFJMAkV9CNUBFxvre2DW53vz8aYKLLE1L0+7RtTYmHRhiqW4BQREalF9S7oW2vXW2tn+J7vBBYACb3aRO92LtHIgvVac1pEROIn3qvsYYw5BOhMUFki7dM3xnTGzfH/pcz+y4DLAPbZZ5/yJ9axTs0yyEzxMnttNudVfbiIiEitiGtN3xjzCvAQcChwoO8nokngxphGwDvANdbakCq0tXa8tXaItXZIq1a1PGI+Ah6P4YjebfjvL78xeVElq+6JiIjUonjX9IcAfWyUUwiMMcm4gP+atfbdWilZjB3WvSUfzlrHRS9M5dkxQziqT8yWFxAREYlIvPv05wJtoznBtzjPc8ACa2011z+tex2bBpbmvOTlaWzKqcY66SIiIjUQ76DfEphvjPncGPOB/6eKc4YDfwCOMMbM9P2cUPtFrZl2TUPX437317Vs3pkfp9KIiEhDFO/m/XHRnmCt/R6o5Xy2sdehaTq92zUuHcH/908X8tKPK/npliiWSBUREamBuAZ9a+038bx+XUpJ8vDp1Yfx1rTV/LB0C/+buY712Xls211A88yUeBdPREQagHiP3j/IGDPVGLPLGFNgjCk2xuzVk9nPHtKJR88bxGfXHAbALe/O5vnvVzBvnVZhExGR2hXv5v0ngPOAt3Aj+ccAPSo9Yy/Rq21jzh+2D6/98hufz9tI66xUzhnSicO6t2RY1xgtNCMiIhIk3gP5sNYuBbzW2mJr7QvAcfEuU105dWAgkeCmnfk8MXkp547/mQc+CbOevYiISA3FO+jnGmNSgJnGmH8YY65NgDLVmQM7N+Pm43sxsFPTkP3PfLuc4X//iscnLWHRhp1MnL+Rgx+YVD8W7BERkYQV16V1jTH7AhuBFOBaoAnwlK/2HxPxXlo3EjvzCrn5nTlcecR+PP31Mtbt2MO0VdtLX/d6DMUlli+vPZzubbLiWFIREakPKlpaN96j91cZY9KBdtbau+NZlnjKSkvmyfMHA/DY6EEAnPn0j0z3Bf7iEndj9sX8jXRr1QiPp97NWBQRkQQQ79H7JwMzgc982wMjSM7TIDx4Vv/y+z5fxH++W85ZT//IgvU5bNtdEIeSiYhIfRXv5v3pwBHA19baQb59c6y1/WJ1jfrQvF+Rn5Zt5fGvlvDjsq0VHnPDMT148ceVPPm7wRr1LyIiQII27wOF1tpsl06/VPzuQhLMwd1acHC3FnwyZz1LN+1ifXYer0/5LeSYh75YDMBlr0zn8dGDmLM2m3ZN0ti/fRO25xZwwL7NWLZ5F/u1aoQxBq+6BkREGqx4B/15xpjfAV5jTHfgL8CPcS5TwjmhXzsASkos3Vs34q3pa0rT+QK0b5LGuuw8xjw/pdy5pw/qwHu/riUrLYm+7Zvw+mUH1Vm5RUQkscR7etxVwP5APvA6kANcE88CJTKPxzD20C58evVhPHdBoNXmi+tGVHjOe7+uBWBnXhE/Ld/KIQ9MKrfQT2FxSelgQRER2XvFNehba3OttbdZaw+01g7xPdeasxFo18St2nfDMT1olJrEP88dwMierfj2xlHcfcr+FZ63LjuPgx6YxMEPTOLHpVsAGHTPl1z+6nQAfli6hR254QcI5hUWk1tQFONPIiIidSUuA/mqGqFvrT0lVteqzwP5qrJgfQ4922SVm8K3ZVc+1705i/nrsklP8VJcbLnqyO7c8u6ckOOaZSTz3p+GM/KhrwE4uk8bvpy/kQEdm3D9MT1ZtXU3Zx7QkYyUJPKLijnqkW9Yu30Pyx84sa4+ooiIVENFA/niFfQ3A6txTfq/UGap3Fiuvrc3B/1o5BcV0/P2z0jxenjonAHsyC3gzvfnRXTuI+cM4Lo3Z5VuL77veJK9hjIDMEVEJEEkWtD3AkcDo4H+wMfA69bayKJQFBT0Az6YtY7+HZrQuWUm1lr2u+3TavflP3LOAM4Y3JG/vP4rO/MKefaCAzUzQEQkQVQU9OPSp+9bXOcza+0FwEHAUuBrY8yV8ShPQ3HKgPZ0bpkJgDGG9/88HIBB+zRl2u1HRfVe1705ixd/WMEHs9YxedFmVm3dDcCX8zfS+eaPmbcum3U79sT2A4iISI3ELTmPMSYVOBFX2+8MfAA8b61dG8vrqKZfseISy/99tpDfDd2Hzi0z2ZlXyORFm/l83gY+nr0egNQkD8leD7vyKx/Al+w1jB3ehWe+XR6y/z9jhnB0nza19hlERKS8RGvefxnoC3wCTLDWzq2taynoR89ay6UvT+f4vm05Zv82pCZ52bo7n398tqh0CuDJA9rz4ax1Eb3frSf0YmNOPqN6tmZ99h7OOqAj//5mOaN6tWLt9j3MXZvDiJ6tGNipKR/PXk/Ptlns17pRbX5EEZG9WqIF/RJgt28zuAAGsNbaxrG6loJ+bP3tkwUM6tSUo/q04Zo3ZnLBwZ1Zn72H75ZsYcZv22mclszM1Tuq9d5L7j+e7rd9CkB6spcD9m3G2EM7M6pn63KDBq215OQV0SQ9uaYfSURkr5NQQb8uKejXrZISS9dbP2HfFhm0yExhztpsbjm+Ny/+uJLftuVW6z1fv/QgDu7m1hUoKCph6aZdTP9tO3f8by7f3TSKTs0zWLxxJ11bZpLkjXe+KRGR+EvU3Puyl/F4DB9ddSidmmeQmuRhy658OjbLoFe7LH73n184d0gn2jdNp0OzdOauzaZFZgofz1nPwg07K3zPxRt30rZJGhPnb+T+TxaEvLZow0425uRx1r9/4o6T+nDxoV1YsWU3jdOSaNEolZy8QnblFdG+aXptf3QRkYSnmr7Umd+25tKpeXrY+f3fLN7Mf75dzvD9WjK0S3POfNotwdA0I5kduYUVvudRvduweWces9ZkM2TfZuQWFDN/fQ7NMpL56ZYj6XXHZwCs/LsSColIw6HmfalXLnt5Gkf2bk2LzFT+77OFLNm0q0bvd8HB+9K6cRr//noZlx3elVXbcjm+b1uO7O1mFlhrKSy2SjokInsFBX2pt6y17MovYvy3y2mSnsx9H7sm/g+vPJS3p69mxdZcvl28udrvf+rA9hQVWz6es55mGcn069iUbxdv5s0/Hky7Jml4PIYOTdMpKbE8OXkp5w7tROustJD3+HbxZpZt3sVFw7uUe/+CohI+nbueUwa01w2FiNQJBX3Za8xdm83STbs4bVCH0n278ovoe9fnpdv9OzZh9ppsbjy2Jw9+vqha1+nQNJ3cgiK25xby/p+H4/UYTnr8e4bs24xd+UX8ti2Xr28cSeusNDrf/DHguhFKSiwbcvJKxxH847OFPPX1Mp6/cAhH9FLOAhGpfQmVkU+kJvp2aBIS8AEapSZx72l9aZaRzNPnD+a9Pw3n6fMHc/mIbjx4Vn+AqKf3rd2xh+2+8QR/+2QBv/vPzwBMW7WdhRt2kltQzN8/WcjuoMRFxSWWt6ev4ZC/f0WfOz9jxZbdTF+1HYBd+cXlrrF00y5ue28ORcUl/OX1X5k4f2NUZRQRiYZq+tIgrNuxhxaNUthTUMz67DyapCezYH0OHmMoLrF4vYbh3Vryj88W8uz3K0LOPbJXayYt3BTRdbq0zGR99h7yCkvKvfbAGf0YPXQf/vnlYn5YuoWnzh/M+c/+wpJNu3jl4qH84bkpQPlBh3PWZPPOjDXcdXIfdQ+ISETUvC8Sgd35Re5mwGO4+Z3ZjDt5f/q0b8x5438unVZ4xqAOHNilOfs2z+B3z/4S1fsP69KcX1Zsq/SYpfcfH5JvYPC9X7JtdwF/OGhf7j2tLwVFJSzbvIve7SLPYZVXWMySjbvo17FJVOUVkfpJQV+khnblF7Ehew/7tc4q3ffIl4t5bNISUrweCooDtfvbTuhdLqdApHq3a8wdJ/bmkP1a8sW8DVz2yvTS1+aMO4b+d3+BtfD46EG8OW01uQXF3HtqX9o3TaNpRgoAO3ILeHTiEmb8tp0PrjyU4x79loUbdjL99qNo0Si1yjKs3LKbkQ99zcd/OZT92+tGQaS+UdAXqUXrduzh2H9+y+Uju9E4PZk/HLQvo8f/zE/Lt3LqwPa8PzOwTsG8u4/l398s4/GvlvLcBUNompFSmpcg2IGdmzF15faQfe2bpLEuO6/SspTtjvj8msM59tFvAfjsmsPo1Ta0hcBaS1GJZcuufBqlJpGVlsyz3y3nvo8X0L11I04f3IE/jdwv6u9EROJHQV+kjuUVFrNtdwHtm7rsg//7dS35RSXce1pfiopL2Lgznw6+Ef5XT/i19MagQ9N01sZwWWJjIPi/eddWmfRp15iTB7Rn6opt/LBsKwvW55S+vvDe47j7w3m8PmV16b4ZdxxN88yUsO+/bXcBt747h7+d0S/sMf6/MRqPIFJ3FPRFEtju/CLGfTCPVlmp/GnUfox9cSq/bc3lxmN7clTvNsxeu4NxH8xj2ebd3HFSHz6avY5ff9sR0XunJHkoKCo/sDAat5/Ym6krt/HX43rRtVXoCogPf7GIx79ayoGdm/HW5YfwyZz1DN6nGW2bpLFow07u+WgePyzdqqyIInVIQV+knlu0YSevT/mNO07qQ2FxCV8t3ETOnkJufncOpw1szxUj3c1Ch2bpTPENFjx5QHv+cWZ/tucWcMjfv4pJOf56XC96tcviohemMu7kPqzPzuOZb5cDMOGygzhv/M90bZnJu386hIH3fFl63nc3jaJVVippyV6KSyzWWi2QJFJLFPRFGpB3pq/h+rdmMaJHK14aO5SCohJ63O6WLV56//H8tHwrQ7s0JzXJy/Pfr+Cej+YDgaRGZe3TPKPaqyQGa9s4jd7tspi8aDP9OjThgyuHY4yhqLiECVNXc1zftrQMGmh430fzGdK5Gcf1bcemnDxufHs2D57dn19/28ERvVrz4ax1nNi/HalJ3gqvuWTjTiZMXc1tJ/TG46m8i2FXfhHJXlPp+4nUB1plT6QB6djMjRXYscclF0pJ8vD6pQfRrkkaSV4Ph3VvVXrs2EO7sGrrbl76aRV/Pa4Xz363nO25hcxcvQOAm4/vxeUjuvH29DXszi/irg/mAeAxUBJlnWFDTh4bctxAxDlrszn6n99y47E9mTDlNyYv2syHs9Zx03G9+NekJZx3YCee/X4Fz36/gvF/OIAfl23lm8WbufSlacxak02vtlks3LCTRycu4bkLhtC9TVbYa17+6nSWbd7NBQd3Zp8WGZWWr+9dnzNk32a8fcUh0X0wkXpCNX2RvdDqbbkc9o/JHNOnDePHlLvZD8taW26wXbh970xfQ25hMb3bZnHWv3/i9EEdWLl1N73aNmbRhhx6tWtMr7ZZ3Pn+vAqv1aZxKhtz8qP6TFlpSezMK6rwZqNziwwePmcgj05czBO/G0yT9GQ+mLWOv7z+KwA3HNODw3u0YsWW3aQnezlm/7blPmuXWz4B4OGzB3DaoA54q2gZEElUat4XaWA+n7eBYV2al87drw25BUVkpIRvMNxTUMz+d31WGqA7t8hgSOfmvD19Dfed1pc9BcVs3V3Av79ZBkCn5ums3ha7WQsPnT2AG96aVeHrj48exMkD2pdul12/4f7T+3L+sH3DnltSYpm/Poe+HZrw5fyNdGyWTu92jdm8M5+cvEK6lRnsKFLXFPRFpM6VlFiWb9lFk/QUSqwlNcnDw18s5pYTepXeLLw/cy3NM1P4YelW/v3NMsad3IdxH7oxBq9cPJQ12/dwy7tzQt739EEdOGVAey56cWqNyndkr9as2LKbUb1ak57s5YnJS0NeH75fC/557kBaZ6WxdNNOTn78B/513kB+25bLfR8v4N7T+nLH/+YC8NLYofzxlWnkFZYw7+5j2ZVfRJvGgdUYN+/Mp8TakH0itUVBX0QSWl5hMb/+toODu7Xgv7/8Rv+OTejboQnFJZZut7pm94nXHc723EJ6tc0iKy25dHXDT/5yGFlpSVzx2nTmrs2p7DIAtGuSxvoqkhwFu2JkN57+elnUn2nidSNokp7MSz+uLL2h8E9dnL8uhxMe+45Prz4sbErlrxZu5PO5G/k/34JRItFQ0BeReuufXy7mX5OWsOi+40JG1n+9aBMv/LCSZ/5wAGnJbv+8ddk8/MVizjqgI0O7NOelH1fyy/JtTFkZWPNgxQMnlPbf17YWmSls3V1Quj12eBcuOawLb0xdzb8mLeGPI7oyokcrNu/M58DOzXlz2mq6tMzk6gkzAZh559EUFJXQ2tdCsGlnHs0yUkjyGJ77fgUje7Zmv9bqTpBQCvoiUm/5UwUnV3Nef0mJ5aM56znON3gvJcnDA58s4NWfV7FPi0zuOKk3v/tPdIsn1YZmGcmlyzn7nTKgPR/MWsd/Lx1Go9QkTnniB84+oCPnH7Qvpz35A11aZjL5hpEh51z7xkxG9mzFqQPdEtS5BUUs27RbCy41IAr6IiIVWLppJ0c98i0je7bi0sO68urPqxi8TzPOG9qJU5/4geVbdnPtUT3458TFFb5HksdQ5Bu1eOh+Lfl+6ZaYlnH00E70ad+kdAyBX9vGaTw2ehB5hcVc9+YsvB5KZ0Yc3LUF1x3Tg+vfnMVv23J5eawbIzF6aCf++Mp0Th7Qnh25Bbzw40omXTdCqZL3Igr6IiIVsNa65ED7t6VZmfUDFm/cyfLNuzmub1uO/ee3GAP/+/Nw8otKuPjFqUxb5RZF+vyaw5nx23ZueXcO/zpvIJkpSVzysvvbc+OxPTmkWwse+HQhfz2uV+kCS8f3bcunczfU7YcFHjyrPze+PTtk3w83H1G6FkRFpq7cRrdWjWiWkcw7M9ZyXN+27MgtoH2T9CoTHwFsysmjVVaqbi7qgIK+iEgtGPfBPF78cSUL7z2OtGQvG7LzaNvE9b+/P3Mtn8/bwBOjB4cExW8WbybZazikW0sO/b+vWLN9D4d1b8l3SwKtAzce25O1O/bw319+4/YTe7Ng/U7embEm5NqN05LIySuKuswDOjZhVpnMi7ed0Lt02uRHc9ZzTJ82HNytBWu27+Evr//Ky2OHMub5KfTt0JhbT3DdIf4VHYd2bk6rrFQePmdA6diKLbvyGfPcFK49ugdD9m3GR3PWc8f/5nLXyX24aHgXwN1sPfPtcrbtLuAvR3anUWr0+eLyCot56PNFXHVkd5qkJ0d9/t5KQV9EpBYUFZewM6+oXAtBpHILithTUEyLRqlMW7mNv3+6kFcuHkZ6ipeSEsvaHXvo1NxlEswvKmbeuhzOeMq1FNxwTA+emLyU/4wZwh+emwLAsfu3Yfh+LXnlp1UUFJewaqtLn+z1GIqjTaFYgVuO78UDny4M+9r8e47FYOh952cVnn/tUT24+qju/OG5X0pvdLq2ymRQp2bcckIvWjZKZfW2XLL3FNK3Q/hxCMs276JD03Tuen8eb0xbzdjhXbjz5D41/3B7CQV9EZG9xOfzNrB8824uH9G1tKl87tps7nh/Lq9cPKy0xvz+zLVcPWEmXVtl8v6fh9Nv3Bfl3qtJejIHdm7OxAUbY1K2zi0yOHb/tqWLMFXEP0AxnOH7teCHpVsBN/th+h1Hh7y+I7eAgfd8yRmDOvDur2sB+MNB+3LvaX0pKbF4PIaCohJSkjylMz+W3n98jRd4yissxhjqxdoMFQV9LXElIlLPHLt/W64Y2S2kb7xvhya896fhIU3kh+7XEoDLD+9GVloyrbJSGdmzFd//dRRPnT8YgLMO6MipA9uHvP8LFx3I307vx5O/G1zaz28MJHvD98WP7BlYy2Hl1twqAz5QYcAHSgM+wNbdBTzy5WJ+8A2MfPiLRZz42PcApQEf4JWfV/HmtNV0vfUTXv15FT1u/5RFG3bytC/j48B7vmRHbgHB5q7N5s2pq6ssq1//u7/g6Ee+jfh4v3s/mk//cZ9XfWAdUE1fRGQv5q/5lmWt5fN5GziiVxuSvYZ12XkM9y2/vOKBE0JuKH5ZvpVebRvTJCOZTTvzmLU6m68WbuSrhZuYeN0IstJcX/ro8T/z03IXsNOSPeQVlsT0s5zYrx0fz1lf5XGtslLZvDOfq4/szjPfLgspx6PnDqRLy0yufWMmy7fsBuC1S4bx0ex1FBRZThnYnhE9WoV9X38yqNcvPYiDujavcECitZaflm/l4K4tMMaUnlf2e61Nat4XEZFKnfPMT6zZlsuPtxxZrfOttbwxdTULN+xk3Cn7lwa77/86iqy0ZAbcXb57oUPTdDJSvCzZtIv/jBnCpS/H7u91zzZZLNq4M6pzurTM5N5T+9KuaRrdWjVi6sptbN9dwL0fzw9ZG+L2E3szaJ9mdGyWTtOM5JAmf3+3yoNn9efsIZ1Kv4dZdx5Dk4y6GWy41yyta4x5HjgJ2GSt7Rvv8oiI7C3euOygGp1vjOG8ofuUbl9zVHcyUrx0bOYGIn5x7eH8tGwrExds5IqR3fjdf37hpuN6MrRLc3bkFtK7XWNOHtCeDytp+gdo3ySNY/Zvy4s/rqz0uGgDPsCKLbv5/XMuUVPTjGR2lEmW5Pfvb5axZZfrLji4awtev+wgrvzvDLbscpkVAVZu3U1BUaCVYePOPOaszWbhhhzGDu8S0TTHWKt3NX1jzOHALuDlSIK+avoiIvXH6m25vPLzKm44picpSR7+8vqvfDBrHX3aNeb/zuzP/u0blwbLgfd8UWFQ/suR3Xls0pKQfW9cdhDbcwvYr3Ujnpq8LGRMAFQ+uDAWOjRNZ+0O11rw3p8OoajEMmTfZrXS5L9XNe8bYzoDHynoi4js3ay1rM/Oo32YxEFjX5zKVws3MXZ4F37blku3VplcenhXGqclk5LkYfqqbZz59E8AXHXEflx/TM/Sc/OLijn58e/p2rIRn83bQKPUJObefSzTV23jtvfm0qZxGt8s3lzrn69D03ReuOhAerTJiun7KuiLiMheZWdeIT8v38bRfdpUeMzLP62kfZN0jujVusLm9Ce+WsLB3VpywL7NSveVlFhyC4tplJrEgvU5fLt4M29MW83yzbtLj8lKTeKtKw7muEe/q7ScVa3q2LZxGj/fWr1xFBVpUFP2jDGXGWOmGWOmbd5c+3dqIiJS97LSkisN+ABjDu7MUX3aVNp/fuUR3UMCPoDHY0qnP/Zu15g/jujGV9ePLF20CeDiw7rQq21jZt55NBce0pkzBnUofe3yEd1Kn19zVHeuPaoHAF/7Fkfq1TZQs9+Qk8eu/OgzK1aHavoiIiIRKi6xFBaXUFBcQnqyN2Tlx8Ubd3LMP7/l/T8PZ0CnpgBs3plPq6xUrLVs2VVAq6xUsvcUkp7s5bb35vDW9DV4PYZXLh7KId1axqycat4XERFJIIXFJWzfXUB6irc010Gs7DXN+8aY14GfgJ7GmDXGmIvjXSYREZFoJXs9tG6cFvOAX5l6N0/fWjs63mUQERGpj+pdTV9ERESqR0FfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSAU9EVERBoIBX0REZEGQkFfRESkgVDQFxERaSDqZdA3xhxnjFlkjFlqjLk53uURERGpD+pd0DfGeIEngeOBPsBoY0yf+JZKREQk8dW7oA8MBZZaa5dbawuACcCpcS6TiIhIwkuKdwGqoQOwOmh7DTAs+ABjzGXAZb7NXcaYRTEuQ0tgS4zfs6HRd1hz+g5rTt9hbOh7rLlYf4f7httZH4N+lay144HxtfX+xphp1tohtfX+DYG+w5rTd1hz+g5jQ99jzdXVd1gfm/fXAp2Ctjv69omIiEgl6mPQnwp0N8Z0McakAOcBH8S5TCIiIgmv3jXvW2uLjDFXAp8DXuB5a+28Oi5GrXUdNCD6DmtO32HN6TuMDX2PNVcn36Gx1tbFdURERCTO6mPzvoiIiFSDgr6IiEgDoaAfBaX/jYwxppMxZrIxZr4xZp4x5mrf/ubGmC+NMUt8j818+40x5jHf9zrbGDM4vp8gcRhjvMaYX40xH/m2uxhjfvF9V2/4BrNijEn1bS/1vd45rgVPIMaYpsaYt40xC40xC4wxB+t3MTrGmGt9/5fnGmNeN8ak6XexcsaY540xm4wxc4P2Rf17Z4y5wHf8EmPMBTUtl4J+hJT+NypFwPXW2j7AQcCffd/VzcAka213YJJvG9x32t33cxnwdN0XOWFdDSwI2v4/4J/W2v2A7cDFvv0XA9t9+//pO06cfwGfWWt7AQNw36d+FyNkjOkA/AUYYq3tixtAfR76XazKi8BxZfZF9XtnjGkO3IVLQDcUuMt/o1BdCvqRU/rfCFlr11trZ/ie78T9ke2A+75e8h32EnCa7/mpwMvW+RloaoxpV7elTjzGmI7AicCzvm0DHAG87Tuk7Hfo/27fBo70Hd+gGWOaAIcDzwFYawustTvQ72K0koB0Y0wSkAGsR7+LlbLWfgtsK7M72t+7Y4EvrbXbrLXbgS8pfyMRFQX9yIVL/9shTmWpN3xNe4OAX4A21tr1vpc2AG18z/XdhvcocBNQ4ttuAeyw1hb5toO/p9Lv0Pd6tu/4hq4LsBl4wddN8qwxJhP9LkbMWrsWeAj4DRfss4Hp6HexOqL9vYv576OCvtQaY0wj4B3gGmttTvBr1s0V1XzRChhjTgI2WWunx7ss9VwSMBh42lo7CNhNoEkV0O9iVXzNyafibqDaA5nUsLYp8fu9U9CPnNL/RsEYk4wL+K9Za9/17d7obyr1PW7y7dd3W95w4BRjzEpcV9IRuL7ppr4mVgj9nkq/Q9/rTYCtdVngBLUGWGOt/cW3/TbuJkC/i5E7Clhhrd1srS0E3sX9fup3MXrR/t7F/PdRQT9ySv8bIV//3XPAAmvtI0EvfQD4R59eALwftH+MbwTrQUB2UBNYg2StvcVa29Fa2xn3u/aVtfZ8YDJwlu+wst+h/7s9y3d8g6+9Wms3AKuNMT19u44E5qPfxWj8BhxkjMnw/d/2f4f6XYxetL93nwPHGGOa+VpcjvHtqz5rrX4i/AFOABYDy4Db4l2eRP0BDsU1W80GZvp+TsD1600ClgATgea+4w1uZsQyYA5ulHDcP0ei/AAjgY98z7sCU4ClwFtAqm9/mm97qe/1rvEud6L8AAOBab7fx/8BzfS7GPV3eDewEJgLvAKk6nexyu/sddwYiEJci9PF1fm9A8b6vsulwEU1LZfS8IqIiDQQat4XERFpIBT0RUREGggFfRERkQZCQV9ERKSBUNAXERFpIBT0RaRSxphiY8zMoJ+YrTBpjOkcvAqZiNSupKoPEZEGbo+1dmC8CyEiNaeavohUizFmpTHmH8aYOcaYKcaY/Xz7OxtjvvKtCz7JGLOPb38bY8x7xphZvp9DfG/lNcb8x7de+xfGmPS4fSiRvZyCvohUJb1M8/65Qa9lW2v7AU/gVgUEeBx4yVrbH3gNeMy3/zHgG2vtAFz++3m+/d2BJ621+wM7gDNr9dOINGDKyCcilTLG7LLWNgqzfyVwhLV2uW+BpQ3W2hbGmC1AO2ttoW//emttS2PMZqCjtTY/6D0649YL7+7b/iuQbK29rw4+mkiDo5q+iNSEreB5NPKDnhejsUYitUZBX0Rq4tygx598z3/ErQwIcD7wne/5JOAKAGOM1xjTpK4KKSKO7qhFpCrpxpiZQdufWWv90/aaGWNm42rro337rgJeMMbcCGwGLvLtvxoYb4y5GFejvwK3CpmI1BH16YtItfj69IdYa7fEuywiEhk174uIiDQQqumLiIg0EKrpi4iINBAK+iIiIg2Egr6IiEgDoaAvIiLSQCjoi4iINBAK+iIiIg2Egr6IiEgDoaAvIiLSQCjoi4iINBAK+iIiIg2Egr6IiEgDoaAvIiLSQCjoi4iINBAK+iIiIg2Egr6IiEgDoaAvIiLSQCjoi4iINBAK+iIiIg2Egr6IiEgDoaAvIiLSQCjoi4iINBAK+iIiIg2Egr6IiEgDUedB3xjTyRgz2Rgz3xgzzxhztW9/c2PMl8aYJb7HZhWcf4HvmCXGmAvqtvQiIiL1l7HW1u0FjWkHtLPWzjDGZAHTgdOAC4Ft1tq/G2NuBppZa/9a5tzmwDRgCGB95x5grd1ehx9BRESkXqrzmr61dr21dobv+U5gAdABOBV4yXfYS7gbgbKOBb601m7zBfovgeNqvdAiIiJ7gaR4XtwY0xkYBPwCtLHWrve9tAFoE+aUDsDqoO01vn1l3/cy4DKAzMzMA3r16hXDUoeXvaeQrO3zKcloQVLTjrV+PRERkYpMnz59i7W2Vdn9cQv6xphGwDvANdbaHGNM6WvWWmuMqXa/g7V2PDAeYMiQIXbatGk1LW6VPp2znkPeHkxxv/NoftY/a/16IiIiFTHGrAq3Py6j940xybiA/5q19l3f7o2+/n5/v/+mMKeuBToFbXf07Ys7j8dQhBdbUhTvooiIiIQVj9H7BngOWGCtfSTopQ8A/2j8C4D3w5z+OXCMMaaZb3T/Mb59cec1hmK8oKAvIiIJKh41/eHAH4AjjDEzfT8nAH8HjjbGLAGO8m1jjBlijHkWwFq7DbgXmOr7uce3L+48HijCA8WF8S6KiIhIWHXep2+t/R4wFbx8ZJjjpwGXBG0/DzxfO6WrPo8xFFkvqSXF8S6KiEhCKSwsZM2aNeTl5cW7KHudtLQ0OnbsSHJyckTHx3X0/t7E6+vTV/O+iEioNWvWkJWVRefOnQketC01Y61l69atrFmzhi5dukR0jtLwxohHffoiImHl5eXRokULBfwYM8bQokWLqFpQFPRjxGOM69MvUZ++iEhZCvi1I9rvVUE/RrweV9M36tMXEZEEpT79GPF6UJ++iEgC2rp1K0ce6caJb9iwAa/XS6tWLlndlClTSElJqfDcadOm8fLLL/PYY49FfL3OnTuTlZWF1+sF4PDDD4/q/NqkoB8jxmggn4hIImrRogUzZ84EYNy4cTRq1Igbbrih9PWioiKSksKHwyFDhjBkyJCorzl58mRatmxZ4etlr1lZGYIVFxeX3kxUh5r3Y8Ql5/FgrJr3RUQS3YUXXsjll1/OsGHDuOmmm5gyZQoHH3wwgwYN4pBDDmHRokUAfP3115x00kmAu2EYO3YsI0eOpGvXrlHX3keOHMk111zDkCFD+Ne//lVue9KkSQwaNIh+/foxduxY8vPzAddy8Ne//pXBgwfz1ltv1ehzq6YfI16Pm6evgXwiIhW7+8N5zF+XE9P37NO+MXedvH/U561Zs4Yff/wRr9dLTk4O3333HUlJSUycOJFbb72Vd955p9w5CxcuZPLkyezcuZOePXtyxRVXhJ0jP2rUqNIa+QUXXMC1114LQEFBAf71YD788MPS7by8PLp3786kSZPo0aMHY8aM4emnn+aaa64BXGvFjBkzov6MZSnox4gxrk9fA/lEROqHs88+uzQwZ2dnc8EFF7BkyRKMMRQWhq/AnXjiiaSmppKamkrr1q3ZuHEjHTuWX1m1oub9c889N+z2okWL6NKlCz169ADcjcKTTz5ZGvTLnlddCvoxkuTx+Pr0C+JdFBGRhFWdGnltyczMLH1+xx13MGrUKN577z1WrlzJyJEjw56Tmppa+tzr9VJUFN04ruBrhtuO9LzqUp9+jCR5fX36GsgnIlLvZGdn06FDBwBefPHFOr9+z549WblyJUuXLgXglVdeYcSIETG/joJ+jCT50vAaq6AvIlLf3HTTTdxyyy0MGjQo6tp7OKNGjWLgwIEMHDiQMWPGVHl8WloaL7zwAmeffTb9+vXD4/Fw+eWX17gcZRlrbczfNJEMGTLE+gdN1KY123P59ZHTGdF4A41vnFXr1xMRqS8WLFhA7969412MvVa479cYM91aW26uoWr6MZLk8VBIkmr6IiKSsBT0Y8TrMRRbj0bvi4hIwlLQjxH16YuISKJT0I8Rr2/0vkej90VEJEEp6MdIksf4+vTVvC8iIolJQT9GkjweV9NX0BcRkQSloB8j6tMXEUlMo0aN4vPPPw/Z9+ijj3LFFVdUeM7IkSMJN9175MiR9OzZs3QO/llnnRXz8tYmpeGNEY/H16evoC8iklBGjx7NhAkTOPbYY0v3TZgwgX/84x/Ver/XXnut0uV2q7tsbqTH1YSCfgxZk4TXFoO1bgUeERGJu7POOovbb7+dgoICUlJSWLlyJevWreOwww7jiiuuYOrUqezZs4ezzjqLu+++u1rXuPDCC0lLS+PXX39l+PDhbNu2LWR7zJgxXH755eTm5tKtWzeef/55mjVrxsiRIxk4cCDff/89o0eP5vrrr4/xpw+loB9Dxcat1oQtAf9zEREJ+PRm2DAntu/Zth8c//cKX27evDlDhw7l008/5dRTT2XChAmcc845GGO4//77ad68OcXFxRx55JHMnj2b/v37V3q5888/n/T0dACOPvpoHnzwQSB0qd4LL7wwZLt///48/vjjjBgxgjvvvJO7776bRx99FAhdbre2KejHkDW+r7OkCDwK+iIiicLfxO8P+s899xwAb775JuPHj6eoqIj169czf/78KoN+Rc37wUv1Bm9nZ2ezY8eO0gV0LrjgAs4+++zS42K1bG4kFPRjqMRfuy8pAlIrPVZEpEGqpEZem0499VSuvfZaZsyYQW5uLgcccAArVqzgoYceYurUqTRr1owLL7yQvLy8al8j3svmRkKj92PI+oN+cWF8CyIiIiEaNWrEqFGjGDt2LKNHjwYgJyeHzMxMmjRpwsaNG/n0009r5dpNmjShWbNmfPfdd0DtLZsbCdX0Y6jEJIEFlH9fRCThjB49mtNPP50JEyYAMGDAAAYNGkSvXr3o1KkTw4cPj+h9gvv0W7ZsycSJE6s856WXXiodyNe1a1deeOGF6n+QGtDSujH04H03cWPRM3D9YshqUyfXFBFJdFpat3ZFs7Rundf0jTHPAycBm6y1fX373gB6+g5pCuyw1g4Mc+5KYCdQDBSF+0DxVOIJGsgnIiKSYOLRvP8i8ATwsn+HtbZ06KIx5mEgu5LzR1lrt9Ra6WqidCCf+vRFRCTx1HnQt9Z+a4zpHO41Y4wBzgGOqNNCxUixJ9n3RDV9EZFg1lqMkpbFXLRd9Ik2ev8wYKO1dkkFr1vgC2PMdGPMZRW9iTHmMmPMNGPMtM2bN9dKQcMWzj9Pv7igzq4pIpLo0tLS2Lp1a9QBSipnrWXr1q2kpaVFfE6ijd4fDbxeyeuHWmvXGmNaA18aYxZaa78te5C1djwwHtxAvtopanklXn9NX0FfRMSvY8eOrFmzhrqshDUUaWlpdOzYMeLjEyboG2OSgDOAAyo6xlq71ve4yRjzHjAUKBf046XE+IK+BvKJiJRKTk6mS5cu8S6GkFjN+0cBC621a8K9aIzJNMZk+Z8DxwBz67B8VbIe1fRFRCRx1XnQN8a8DvwE9DTGrDHGXOx76TzKNO0bY9obYz7xbbYBvjfGzAKmAB9baz+rq3JHosSb4p4o6IuISAKKx+j90RXsvzDMvnXACb7ny4EBtVq4miqt6WvKnoiIJJ5Eat6v96wG8omISAJT0I8l9emLiEgCU9CPIavkPCIiksAU9GPIaiCfiIgkMAX9WFKfvoiIJDAF/VjS6H0REUlgCvqxpOZ9ERFJYAr6MWSSFPRFRCRxKejHkle590VEJHEp6MeQ15tEMUY1fRERSUgK+jHk9XgotEkK+iIikpAU9GMoyWsoIkmj90VEJCEp6MeQ12MoRDV9ERFJTAr6MZTkMRTgVU1fREQSkoJ+DPlr+lY1fRERSUAK+jGU5DEU2CRKihT0RUQk8Sjox1CS1+P69BX0RUQkASnox1CSx1CEV837IiKSkBT0Y0h9+iIiksgU9GPIjd5PwhYrDa+IiCQeBf0YUkY+ERFJZAr6MZTkT86jgXwiIpKAFPRjKMmrPn0REUlcCvox5KbsKSOfiIgkJgX9GErx1fSNavoiIpKAFPRjKNmfnKdEo/dFRCTxKOjHUJLXQ4H1avS+iIgkJAX9GEr2N++XqE9fREQST50HfWPM88aYTcaYuUH7xhlj1hpjZvp+Tqjg3OOMMYuMMUuNMTfXXakjk+Jr3lefvoiIJKJ41PRfBI4Ls/+f1tqBvp9Pyr5ojPECTwLHA32A0caYPrVa0iglez0UqaYvIiIJqs6DvrX2W2BbNU4dCiy11i631hYAE4BTY1q4GkryGgrw4lHQFxGRBJRIffpXGmNm+5r/m4V5vQOwOmh7jW9fOcaYy4wx04wx0zZv3lwbZQ0rxevS8BoslBTX2XVFREQikShB/2mgGzAQWA88XJM3s9aOt9YOsdYOadWqVQyKF5nSKXugEfwiIpJwEiLoW2s3WmuLrbUlwH9wTfllrQU6BW139O1LGP40vICCvoiIJJyECPrGmHZBm6cDc8McNhXobozpYoxJAc4DPqiL8kUqxZ+GF5SKV0REEk5SXV/QGPM6MBJoaYxZA9wFjDTGDAQssBL4o+/Y9sCz1toTrLVFxpgrgc8BL/C8tXZeXZe/MmreFxGRRFbnQd9aOzrM7ucqOHYdcELQ9idAuel8iSI5SUFfREQSV0I07+8tkjyGAusP+sq/LyIiiUVBP4bUvC8iIolMQT+GvB5DsVHQFxGRxKSgH2PW4w/6Gr0vIiKJJaKBfMaY5hEcVmKt3VGz4uwFvKnuUTV9ERFJMJGO3l/n+zGVHOMF9qlxieo5402GYhT0RUQk4UQa9BdYawdVdoAx5tcYlKfeM0mpLuiXaPS+iIgklkj79A+O0TF7PU9ysnuimr6IiCSYKoO+MeZo4HFfxjyMMZeFO85amxfbotVPHvXpi4hIgoqkeX8scAVwu29A38BaLVE950lOcU+K8uNbEBERkTIiad7faa3dYa29ATgGOLCWy1S/JWe4x8I98S2HiIhIGZEE/Y/9T6y1NwMv115x6j+TnO6eKOiLiEiCqTLoW2vfL7P9eO0VZy+QkukeC3PjWw4REZEyIhq9b4xp7lvmVqqQlJxCER7V9EVEJOFEOmXvIeAC/4Yx5kdjzJvGmJuNMR1qp2j1U2pyEnmkKuiLiEjCiTToHwD8PWg7C3gOaAncEutC1WdpyR7ybAoU7o53UUREREJEmpEv31prg7a/stZ+boz5AvipFspVb6Umedmjmr6IiCSgSGv6ecaYff0b1tqrfY8WSK6NgtVXackecm0KtkAD+UREJLFEGvTvB/5njOkVvNMY047IWwsaBFfTT6FEQV9ERBJMRAHb15TfGJhsjJkJzPW9dCZwWy2VrV5KS/aQRyolBbl4410YERFJHC+fBgPOcz9xEmlNH2vtW0A33AC+XcBm4HRr7eu1VLZ6KTXJS65Vn76IiJSxfDK898e4FiGimr4x5gLgYdxNwkfAn621O2uzYPVVWrKHPaRgC3fEuygiIiIhIq3p3wEcDfQCVgF/q7US1XOpSV7N0xcRkVAlJfEuARD5ILwca+2vvud3GGN+qa0C1XdpyR622xSM0vCKiIhfSWG8SwBEHvTbGWMuAxYCC9A0vQr55+l7ilTTFxERn+L6FfTvAvoB5/seGxljPgFmAbM1mC/A36fvKdoD1oIx8S6SiIjEW32q6VtrxwdvG2M64oJ/f+AEQEHfJy3ZS55NxWChKB+S0+JdJBERibfioniXAIh89P6RuBr9ZgBr7RpgDfBpLZatXkpNcjV9wC2vq6AvIiL1qaYPfAlsMsaU4BLzzAFm+x7nWWvzI72gMeZ54CRgk7W2r2/fg8DJQAGwDLjIWrsjzLkrgZ1AMVBkrR0S6XXrSlqyl1x8gV4j+EVEBBKmTz/SKXtXAeuAx4D7cAP6DsDN3V8V5TVfBI4rs+9LoK+1tj+wmMpX7htlrR2YiAEfICPFyx7rr+kr6IuICFCSGM37EQV9a+2TwHDAAo8ChcDV1tpR1tq20VzQWvstsK3Mvi+stf5v5GegYzTvmUgyUpLIK23e1/K6IiJCvavpY63dY639P2AUsB8wxRgzrBbKNJaKxwpY4AtjzHTfFMKwjDGXGWOmGWOmbd68uRaKWDF/7n1ANX0REXHqU5++MeZwXDa+XkBvoDWub71FLAtjjLkNKAJeq+CQQ621a40xrYEvjTELfS0HIXyzDcYDDBkyxMayjFUxxlCSlO42lKBHREQgYWr6kQ7k+xqYCUwAHrPWrox1QYwxF+IG+B1prQ0bqK21a32Pm4wx7wFDgXJBP95scoYbaqiavoiIQP3q0weuAH4ATgR+McbMN8a8YYy53RhzWk0LYYw5DrgJOMVaG7Z6bIzJNMZk+Z8DxxBY4jehmGR/TV9BX0RESJiafqQD+Z6x1l5lrR1hrW2DC7gv4gb0nRnNBY0xrwM/AT2NMWuMMRcDTwBZuCb7mcaYf/uObe/L/AfQBvjeGDMLmAJ8bK39LJpr1xWTouZ9EZEGaeUP8MoZ5ZPx1Kc+/bJqkpzHWjs6zO7nKjh2HS7jH9ba5cCAaK8XDyYl0z1RTV9EJL5ePAm6jYLDrq+b671zCexcBzvXQ9NO8M0/YMmX0O+surl+FSKq6RtjZsTimIbCk5rhnqimLyISXyu/g0n31P51rIXvH4U9vhnpBb4p23PehjVTYPpLtV+GCERa0+9tjJldyesGaBKD8uwVkpJ9Qb9AQV9EJOGtngorvoHDb6j+e+zcABPvCmzn7XCP/sqffxtgzw6Y/z/oeSI0alX9a1ZDpEG/VwTHFNekIHuTjNQk9pBKumr6IiKJ77mj3ONh17uVUfOyIa2KeuzPT0O7gbDvwW677HLqe3a4x/yd7jEvJ/Daf0bBtuXw1X1w49Kalj4qka6yF22q3QYtI8VLnoK+iEh8hZ/9XbGifFjyObw5Bi6dDB0GV3zsZze7x3HZ7jplW3b3bIf5HwRq+AU7A69tW+4ed2+GnHXQqA14vNGVtZoizsgnkUtP8ZJrU9W8LyISC5sXQ+62qo8rK9ppcgW73KA7gLXTYcYr4ZfEDX7f3Vvgwf1crT1Y9hp48w9VX/OR3vDVvdGVswYiDvrG6VSbhdlbZKYksdumYJV7X0Sk5p48EMaPdM93rK56bfoNc+Gf/dwo+mjk74QSX0/19/+ED650fe9lFQT9bV89BXK3wOIyk9k2zon8unPejq6cNRBN7n0LfFLlgeJq+qRRkq+gLyJSI/4m+h2rXK360b7wxe2Vn/P9PyH7N1gYZcgq2BXInJez1j2+c7ELyuOawNZlbgreE0GLvK6fFf69NkQR9LNXQ8766MpaTdHO059hjDnQWju1Vkqzl8jwNe+X5O+mbnppRET2UkV5gee5W93j0omVn+PvH490XJUn2SXPyd8FuzaWf/2di93j42H6+DdUMLHN328fqV0boHG76M6phmj79IcBPxljlhljZhtj5lQxla9BykjxkksqVn36IiI1k78r8Nxf6zem8nOMP+gHjaj/4V+w4KPQ4/JyXHO+N9ltb5jjpu5FY/PCyl9v2aP8vnYDA8/Tm8FdO6D9oOiuW03R1vSPrZVS7GXSU9yUPQqz410UEZH6LT9oqpuNcGa4x1ef/eWZwL4v73SP43x/lxd/Dv89B5IzAy0Cn94Y+j49joPFVWR737bc3WRUVLY//QL3NAts/3UlpDWFn5+Cz2+FNn2rvomJoahq+r6pe02Bk30/TTWdr7yMZC+5Nk2j90VEaio/aKpbaVO/cYP5CvPCnlJa0w+eJudXUgw7fnMBH6CyAddt+5ff1z1M3bdxh/Dn9j7Z3YD09aXgvXKaq9kbA94Ut6/pvhVfvxZEVdM3xlwNXAq869v1qjFmvLX28ZiXrB7LSPGymlQ8RQr6IrIXGz8K+p4Bh1wV/vWC3bBsMvQ+qfrXKAhq3i/Kd49bFsG9LdzzcWFaVCub835P88iv3bgdHPs3VyMH1yw/7I9uLn+wvB1w+I1u3v2gMZDRHJp3Cbx+5rNw+jPgDQq5/uQ9mS0jL08MRNu8fzEwzFq7G8AY83+4FfMU9IOk+/r0PYW5rg+qDptuRETqzLoZ7scf9Ge+7haZ6Xyo2/7gLzD3bfjzFGjVs3rXCFvTD7L8G0htBB0OCOwzMRpC3WUErPoxsP37dwJT+kLKmANHVDKjwJjQgA+BzxKulaAWRRv0DaHpdot9+yRIRkoSO2wjPLbI3emmNop3kUREYitctrv/Xe4e/bVv/8j2kirm1VcmeE68v6Yf7OVTAtfcugw+vs4138dCi26w7lf3fL+jA7Vyfxa+336CF46v3nsfchUUF8DgMbEpa4SiHb3/AvCLMWacMWYc8DMVLIvbkGWkeNmBL9Dv2R7fwoiI1IZIst35A7YtgY+uc3PdgxXluzn1RQWBfSUloUE7eAR+uJq+36qfYPnX7ifa6XKV8X/ONn1C9xsDzbqUPz5S6U3hmHshOa3671ENEdf0jTEGeAv4GvC13XCRtfbXWihXvZaR4iXbZrqNPdtcc5eIyN6k7AIz4fj744vyYZqvfhjc5fnTE27Z26R0OMjXSjD5PvjuYbh2PjTpEBroKxq4B/DCcTDo96H7TngIln0Fi3xJelp0dzcg25YFjtl3OKz6AXoc77oIOh4Aiz6FNvu71/ue4VLqHvzn8tfMaFH1d5BgIg761lprjPnEWtsPmFGLZar3/M37gGr6IrJ3Kowk6Ptq+sGBu7gAklLdc39/ffAo+5n/dY+f/RVOezo0Re0HFQwY9Nu8OPC8ZU8YeinMey+wb9Dv4cBL4IGgfvTDrodzX4WUzEC5uh0ReD0pFUaUmcpX+ppvBH6jNpWXK4EoI18tSEv2kG0U9EVkLxYc9FdPhZmvlj/G35cfUlvf4wJpXg6smeb2BQ8P2OlLR7vgQ/cT8n5VdClsCQr6/gAevKQt1o2xOvER1/cPkJTmRttX16Vf1flgvJpQRr5aYIwhL6mx21DQF5G9UXDQ//hamP5ixccGD8Cb+7Zr4v/pCVj5nW9nlEvgVsS/jC0EbjTyg6b0terlHg+8ODDa339zUF0dDoCstjV7jzoU1Sp7wGVAN+AIXHKek3yPUkZhclP3REFfROq7gt3w7mWwa1NgX3DQb9G98vNDbhCud6lu1wfVF611C85Mez66cjXu6B47BC2A400NffTX9C/4EHpWc6T9XiTaVfaetNauKvtTi+Wrt5LT0sk3adVbA1pEpK7Me89NdavMr6/C7Dfg2wfddnFhaCa75V+HHv/xDaEVnrJT7XK3wab5ge3C3W7p3I+uja7sSalw+Q8w5n+BDHe9TnSPh17jHo/7O6Q3dwP2QjTM2ebq068lmSlJ7M7LItWfdUlEJBG9daF7DJfZzs8/IO/XV9289TVTQ0eu7ylTuZn6n9Bm87JT7bavcEvl+v3wr6iLDcBxD0Dbvu55enO3Ul2noS4Dnj8r38DR7qesQ6+FN853c/EbkOr06f+sPv2qZaZ62WkaqXlfROq/H31JVwtzXcCHwDK3FclZF3ge3NcObppeOGlNwu8PdsQdbpGa6xdBj6A8+B18y9627V95Gl6/3ie5G530ZlUfuxeJNugfC3RFffpVykhJIkdBX0TqQnERfHV/+e7Eac/Diu/Cn+M/r6yymfYK88rX5CMx793A84qCfFlDxoZuHx3mvE5D4Yofyg+eO/ERGPMBdC7bjC/BIgr6xpiboHSVvaFl+vP/WJsFrK8apfrm6ivoi0hlctbDxvlVH1eZxZ/Bt/+Az2+D//0ZJpzvgvdH18JLJ7mgO/2l8ucVl+lrXzoR7m7qmvB/+JfLlBe8tG1t63+e65s/8FK4agYMv7r8MRXNiW/cDrqOqN3y7QUi7dM/D/iH7/ktuMx8fscBt8ayUHuDjBQv20oyYc+KeBdFROKluAi++T846IqK54I/2tfNZy/bp751GayfCX3PrPwa25YH0s4W7ob577vnwRWO7x52jwdc4Jb83rkeGrUOTaWblwOz33TPnzvGJdHxpkL3oyP6qFFLSoPh17iUuwPOhR2roXUvuGVN6HiAa+a4LHr/+zOs+h5a9qid8jQQkQZ9U8HzcNsCZKYmsbUkwzWLaaU9kbpXUuwyuB10BbTtF7v3/fEJ+OlJuH5BYN/mxa7futPQ0GMXfeJq4DvXw6lPVFDOChajeWaEy1S3/xnh/35sWw6//Qz/uyJoZ9Bx715W/hxr4aWTYa0vKc7oNwKv/T0oXXixLxd+7paa1/QHng8zXwtst+0HG+a44O5NLn982XnzTfdxj394131X+ltaI5EGfVvB83DbAmSlJbGpKBMocINfUjLjXSSRhmXHKhdsVn4PV8+KXbD44jb3+N/z4HcT3PMnD3SPZWvrwbnnq1JSAluXuObt5l0CqWnzsiE5w02Z6zAYvn4ABl8Ar51V/j2CP+PSL8u/PuF3gYAP8Pq5lZdpz3b48Jqqy16ZsvnpL/gQtiwNH/Ark5QK1DCRjkQ8kG+AMSbHGLMT6O977t+O6hbaGPO8MWaTMWZu0L7mxpgvjTFLfI9hh1MaYy7wHbPEGHNBNNeta60bp7Fd+fdF4sc/IG3HKtdPnZfjmpDHNYE106s+v3BP+UFtwavBLf7U9ZPvrmAU+/ePwi//ds8LdrnrLvrUbZeUuGb2YPk58ORQeGxg6P6Nc13K2A+uhKcPcalpPwzT1x1OyzJr2PsXnonU1GddF0O0DrgIjr7XPS/cA2PeD7yW3gw6HRj9e0pMRBT0rbVea21ja22WtTbJ99y/HeXtGi/ixgEEuxmYZK3tDkzybYcwxjQH7sJNGxwK3FXRzUEiaNs4jR3+lfaqmtoi0tBZ64JZuNHk1VVcELq9+he34hrA9BfKH79zY2BJ16ICuL8tTLwr9JgH9wvd/vAvblU4v+C13yfeBetnuef+PvdvH3KPX90Lf2sXumpcXlArQfCNxIsnwq+vhF43ODNesOAFZwA6Hxr+uJrwJ7m5uExLQnIG3LnNTaU74SEYcJ7L1Dfscug60h1TdnS+1Llop+zVmLX2W6Ds/I9TAf/Q0peA08KceizwpbV2m7V2O/Al5W8eEka7Jmmssa3cxvaVcS2LSMJb/Bm88fvAgLNYKCxTk14TnFMsTK/kP/vAo76GS//qbz/8yzXNf34bLPkyNI+7X/DNxUunuLEEZfnfb+002LnBNdVD6N+G4KD/YNdwnyigpBBMmD/fm+aFbvc7C1rsV/44gOQquhz7nBp+/zkvw/EPQscytfXCXDc/PqsteJPcQMGrpkFL3/XHZcNJ/6z8mlLr6jzoV6CNtda3tBIbgHBzMjoAq4O21/j2JaQ2jdNYaX3zSLcujW9hRBKdv+bqr2nHQtmlXzctqLxf3z+gbsV3MOv1wP77WrvFYUIGzAUJzrq5dhpkry5/TM7awPOHewa2tywK7C+bwKYqzTpXfcy+h7gad7A/T4Vb18Nt68Kf43fK43DGs+X3Z7aEYZe57/KgP0VcXEkM0abhrXXWWmuMqdHgQGPMZbjFgdhnn31iUq5otchMocCbwe7kZmROuseNwG3eJS5lEalz1rrUq8npkR1fNhh//0/odBDse3D5Y4sLXYAOfu/8XTD3HRg8xr3Xe1fArP8GXm+6L2xeVP6mYuX3sOQLOOruwL6XTgpfxt2bw+9f+FHo9rpfIbVx+GPLenNM4HlFTfYVabpvoNugMgdf6cYQdB7urtEqaMpbUjoU7Sl/zqjbXXa8XidU/t7HPQA/P+We96rge5OEkihBf6Mxpp21dr0xph0Q7rd/LTAyaLsj8HW4N7PWjgfGAwwZMiQusws8HkPrrDTS/U12n94E579V+Ukie4upz8InN8B1C6Bx++jPnzjOPV45PdA87PfSKfDbj6Ej5b+4zS3t2rwLdDk8NOCDW1J1yeeBbf9fhRd9i7McfFX0ZazIWxdC+8HRnzfvveiOb7Zv+P1H3A4rvoXux7jt5HQY+dfwxzZqFbgR8iTBqU9C37Nc8zy4m4KqHPd/brDkMfdHV36Ji6ia943ze2PMnb7tfYwxQ6s6LwIfAP7R+BcA74c55nPgGGNMM98AvmN8+xJWuyZplP51ifTOX6S+mvO2GwwHMMs3le3tsa4/vDJFBbBpYWA7uE/8h0fLH//bj4HnxYWwbiZkr3HbwQPpgjXtFH6/X3VGqJfVOygj+boZ0Z9ftsUgoyWc9QJktg5/fFY79xPs6Hvh8BvdtLhDIriRCX7vfYe7rgBvUF3QE0GIOOhyV+OP5FiJu2j/lZ4CDgb8SxbtBJ6M5g2MMa8DPwE9jTFrjDEXA38HjjbGLAGO8m1jjBlijHkWwFq7DbgXmOr7uce3L2E1y0zh4QzfUpGNKviPK5JIigpC+8Lnvx9Z0M5ZD+9cDP89x+3zp3f97SfXH16Zz2+Bn/1/Rmxo4K6sS6yowGW7Gz8Clk5y+wp2h2/yLjtXfMcqd5PiF27Oe7ROfCT8/ia+G47Drodr58OdQVN4r5oBN1Qw5ufaudD3DLhyKmDcTUCwLiPgqulw+jOBfcP/El2ZD7/RPQ76PZwxvvJj//QL/OXX6N5fEk60zfvDrLWDjTG/AlhrtxtjUqJ5A2ttmDUOATgyzLHTgEuCtp8Hno/mevGUkeLlI3M4N2a97kbvfv8o7H9aZANwRKpr/Sz4z5HuD3RVNVy/RZ+5qaW/PO2ypfmbzv19zkffU/HKZc8dHagp+5uKg9O7hvPtg25a2vF/d/3qwYKDvi0JfS143vzntwT1s/v2v3Nx+OulNArdXvmd+ymr/eDq1dLB9YGf+6qbQx88TfeY+1wtOqNF+dpwZcu6+scspDeF29bDthXwdNAYB/94hw4HVK+8AD2Pq3xJ3WCte1X/OpIwoq3pFxpjvPj+hxljWgEllZ/ScGWkJLE7vxhSs1yCjYl3wVsXxbtYsrf76Uk3pWvFN5Gf8/q58P6fXMAHN9I9WE4lI72Dm8b3bHMD6ioL+nk58NV97gYjnOCpdsEJbLLXuEF3flOfDZS3Mqc9HXlGzH0OCr+/z2mh2wNGu1q636VfuYxxvU+GP37nauVN9nGj3/uc6vrOgwP+6AlwRVA3xfEPukf/ex58Zej1ktOhTR849Sk45Ql3Pb+yTfwilYi2pv8Y8B7Q2hhzP3AWcHvMS7WXyEzxkltQ5IL+1mVuZyTpOEVqYpevX/39P7vg07Ma6SyeOig0m9v2lYFWg4LdMPO/MOTi8Euuvj3WBbxgBbmQkgEb57mscn4562FzUH9+caFb6c1v1Q/w5Z1w5Dj45/7lrxWuKf+Y+9z7/vwkHHAhDPwdzHqj/HHDr3bz8P3+8qsbuOYfjR5y7F/cFLaFH8P/LvclnukGl//gblKCa9tNOsCNSyufHtjz+NDtYZfBgZe4G4PKat6Dzi+/L7WR+5xlb0xi5YoflUZ8LxJx0DfGGOBbYDquKd4Ap1lrF1R6YgOWkeJlT2ExNiUL45+Dm5oV1zLJXmL3Fjdv/IQHy3cX7d4SeP7lndUL+hA6h3z7Ste//t3Drqtqzluw6seKB8CVzYb3t3au33j+h6H73yuzKMycN92P3+pf3E9wUG3U1uWgryil7JCLA8E805cgy99U3uVwlxZ7wxzY52DX5L7voS6Apzd1x9y20aW9zWwJv4x3U9qSMyGtMfQ/B/YZBs19yXPa9g1fhurk+a/JQLiT/1X1MdXVJszNltRbEQd93/z5T6y1/YCFVZ4gZKQmYS0UpzUNfNEK+hIL3z7omrpnHQAjb4ZpL7jm7it+CO0T37PdrQp3yJUVv1ckNi+EbctgWtCQmnnvVnx82aAP8Our5fet+Day638QNECtwwFuClrZoH/hxy5rXkqGW2IWAv/f/FNns9q5Of0AaU3Dr9eenAan+Wr7c952iXSSfEOXPN5AwBeph6K9tZxhjNFKCRHKTHEDn/KbBs0zLrtspERv50b4W0c3VWtvsXUZbF8V+fH+gWL+9K4fXePGjRQXhQbc3ZvcHPbdW1yCFn9fe3FhYABdJAlefnrCJcyJVFUD+aIVnK2uUWvIKjP3/+bfXJ75o31Jdg6+Cnqf4lajA5eZDuDAS11zPwSWbK3MEb7eS3+LgUg9F23QHwb8ZIxZZoyZbYyZY4yZXRsF2xukp7j6fW6z3oGd/qU2pfqWTXLLjv5cwUCw+ujxwfCv/pEf70/9WjbFc36Oy4RX1rKv4N1L4F7ftK/vH3WJaVZ8C48Nqk6JQ5WdEudfFra6elaSCS4p1V0vs5Vroj/3NTdyPlhWGzj3lUCTfYturq+804Gu7/yWNa7vvSoDf+fOUwud7CWiHch3bK2UYi/lr+kvbnwwrY79m+sP3bLENbmmZLnFMdr2j90635JYlkwELHQ/uuJjpr3g+o79tixxjy27V3xO4Z7AADr/oD2/f1Qwr/3dSwPPH+gErXyD9F46OfzxwZp0Cp9PPtiQi2HLYpj/v6rfD9ygs5RGrr+483B45vDAa54kGP063Nvazfc/4SGX3c/Pm+z6v2+s5poWxiiIS4MVVdC31q7yZcPrDqQFvRRFu2TDMaxrC9KTvXw4byvDz/wz/PYzLPgA/q+zm8Yz/333B23opVW+lwSrJzdJr53pHisajT3tBdcsH+yJIeXPKdzjlnk95Qk3Fe+jawOvVbSWe2Xyc8qsOFeF1n3KB/0znnUtBwA3LndrpC+bFBr0Ow6FNVPKv98x91c+xsC/8M0Ni1yXRGYLtyTrtw/C1w+AN6rUICISJNo0vJfgRvB/DtztexwX+2LtHZpnprBf60ZsyPE1twanxZzvyzT84+Ow/Os6L9veIcplFayF7LVVH1dS4gadxapfevLfwu8vG/CDWQuz33LjFvyj8SeOgy/uDD0u+7eKV6ZrNxC6joqurADXllmetez0sts3uSVb/TJ9SWe6Hw2XTg7sP2ocjPnAJaY59gG3rOrFE8MH/CunBeaq+6U3c+8NbgBd6z7uefsYdEeINFDR9ulfDRwIrLLWjgIGATtiXai9SausVDbv9M3N7zTUzfUNtmMVvFzButUSnr87xEYZ9L972K2ZHryGeTiz33Bz3H/0/Vut+hG+fSjy66yf5W4c/BZ/FnheUuKm0Y1rUv68YDnrXE16/IhA5rjcLWX6yn3fg38NeL/+57mWgj9+4xLTBDuyzE1DtyPg8u/hzqD59o07uHnffl0Oh5tWuKmBR9/r+tQr6pJqN8A9Dr/GNdt3HQEXfQIH/8nV1jtVMA64ZffQG4lw+pwCf54SmuNeRKISbdDPs9bmARhjUq21C4GeVZzToLVqlMqmnUEJeQaPgRMfjl+B6oNFn7lkLvPec/Oko7V+dvgMcgs/do/B89jD8ad29Y+Qf+F4+Ore8Meu+NYFcP+88GVfuf7pX/4dOKZRm8DzLYtCE8JU5MlhgecVreM+8pbw+4O7i9KbBZ6f+Agceh2k+m44blkLf3gP2vYLTbFrjJv3PdCXCCY5AzKaw9WzQnO7X7egfC52j9fllj9qXKUfL6xIFqVqpT83IjUR7UC+NcaYpsD/gC+NMdtRf36lWjdOZeuufAqKSkhJ8t1jtQvTPLlrs0vVmbPOJR9pqCtWrZ/tUsIOHgMzXnb7hpVJ4OLv863IM4e5x7J96f6FZPJz4KenYNjlod/zwo/d9299q7yZMv8G01+EtdN9zenGBUz/QLgv73Rzvuf65q7/9lPgvOA87E9VkOa1rIpGvxtvoHyH3+hqvf587Cc85L634GmhyUFDbwZf4AL6tXNcxrrUMvnoz3g2NNHPSY/CgRdD4wrSvFa0ZG51f3e9SW6KXLdyy3CISIxE9b/TWnu6tXaHtXYccAfwHKC26Urs17oRJRaWbgqaqtfxALhkUujc34f2g3W/wiO94afHy79RWQW58PrvAul99xb+UenbVlR8jD+V8fpZkFvJQovBedshkNP9kxvdYi3LJgVeKymBCb9zo8T9i7z8+Fjo3PkPr3Y3Isu/huWTy+e237UZfn3F93yTe0xrGgj6wavXRarsuuz7nx547vFAyx6B7Va9Ks8D4V8yNa1J+MVT+p8d2vyelFKzxVyq4/AbXbY9EakV0Q7ku9P/A4wABgIVtDEKQN8Oril1/vqc0Bc6DimfDWz8SPe45Muq33j517DoY/js5hqXMaH4A25wn3FxoVvE5b42LnD6k89sWQSvl1m0sTioFeCnJ2Di3fDe5a7/3x90/XPbS1doI3R0evB67pXNnX/51ND56Q8FJWFa/bN7bDfAjSH49kGY8h+3r0XQceGc8ax7bNwhdGEVgBE3hW4Hr30e6Yp6ItJgRdsOtzvopxg4Hugc4zLtVTo1ywBgzfbc8i8ecpVrki1r1yYXeBZ85ILVupmRZU3Ly3ZBzl/LjLcJ58PsN6s+Lpg/4JqgPubcbfDZrS7pzK5NoYsWrf7Z9aP7k9XkBI3On3w/fP8IzHrdzU3fXeZ78beS7N7qEtX4VbaiXFnBTfcAQy+DZkFz5ffzNVV/dR98eYd73nFo4PUBZW5aTn8mMDp94O/czY/XV3u/cbnr0z7/bRj7BeU0qSDoH3mXBr+JCBD9PP2QEWjGmIdw0/akAilJHlo2SmFjTpgsaeD+GO/e7Jpp/WuBb1kE9zR3z89+Ed660D0flw3vX+makM/7b/n3WvWTC3Krp8BFH8f6o0SnMA8WfuR++p8T2TnWulXYILQ/PXeLS9ICLu1s2ZUKXzkdMlvDDYsrrpmH6yOfMh7a9YfNi0Jr+mWz3IXTvGvgRsyT5MYZnP+2m7Y29Tm3YAtA92Ndf7/f8Gvc8X4Dz3c3JZ4kuHJqIK/7n34ONN0P+6PravAnlKko2U9F690fdl3Vn0dEGoRoB/KVlQF0jEVB9mZtGqexIbuCoJ/VFkbd6p73ORU+vAZmBi1MEjzSvLgw0GecV2aQGgRS/O6MoqYaC7++5qZ1BTcvV5bBbfUUNwCu0zDXL37odS4lav4umHiXOyY46O9YHQj0edmBG4BguzfB81GsJtfpINdK8OaYQM27WRfYvsJN0avM4TdB697w9kVuu3k3d6PmH6MxZKyb215c4AbG/eln2LnBzTPPahNo5j/xYTeNE9wAvOCFXFoHpW4+6m4YdVtg0Zeyzno++umLItIgRRX0jTFzCGRE8QKtgHtiXai9TbsmaazeFsEgLm8ynPakm+7k7x8OTj86cVzguX+UePAfe3/QL65idHssFeyG9//kngePlvcPgCs7Ah7giztcU71/INz3j7jH4JHjwbXWzQsCQf/lUypOzuLvRy/r3NfgjTLrkHc4IHD8minQ6yTXtP5Qj8AKbeBytH/9dzc+wO+I29ygPb8031Qzf/53Y0JHtrfuHRrEh4x1tfZ+Z7vPeePywHuE4/GAJ63i1/ueWfFrIiJBou3TPwk42fdzDNDeWvtE5adIt1aNWLFlN4XFJVUfDG7q3g1Lyu8PDjxLywz2y98V6MsvKXLBePUUNw1txXeBkezLv4EnD4KFFaxFHs74kaG50UOuG9Rsbq2bW7/ky0D/eVKYYNWygoFswUlzghPabJgTmKZWUlR1Ctm+QUle+p0NvU9yNyT+m5IW+5Xv485q56awdT/KbR96LVy/yAXnYX90+7odGZiX3qiVm8t+4SeuC+aY+8uva18RjxcGnBe4scls4W74RERqWdS592urIHuznm2zKCguYeWW3XRvE+FCH41au+xj/z4sfHO235opbpGWV88IpGPduQ7+FmYO9Tkvu+ZsgAmjK84JX9a6oAQs713ugl//s912XtCshDlvBRZ2Oe7/3GPwSPjCPDfPPdy66pWZ+074/eOyA5ntznnFtza7dYMjh18Nq3+BQb8PPeeSSa4ZP7OFS/366V/d1L2stu714/8BnQ9ztXF/UG66D/x1ZWiiGwjNWlfT9epFROpAtM37lY4IstY+UrPi7J16tnWBfuGGnZEHfXAjte/Y5GrQ7//Z1ZqnPef6wg+40A3qy8sOLNJSlUWfVn2MtW5dgF4nuelgZYP2rNfdjz/oB9f0/QHfeF0CHHA186J8txpc2XSxkRh2eSC7nfHCmc+6vvTBY0KP63OK+/Fr19/9lNUx6Ltq2R16neCCvj9HfVbb8AsglQ34IiL1ULQD+Ybgcu9/4Ns+GZgChGmLFr/9WjfC6zEs2rCTkwdU4w2MgdOecgF5+F+gyT6un7fTMLcOe6Q8Vfxzr5/lBtjlZcMRd7jBaO8H1WDfHlv+nPf+WH6fLQkMVrPFcF/ryq97wIUu2x241LJfP+Cet+3vBrEd+4Dr/+8ywn3uLiMC/edn/KfqDH2VGXIxHHBRxSPfRUT2ItEG/Y7AYGvtTgBjzDjgY2vt7ys9q4FLTfLSpWUmCzdUkFo1UsaE9hs33Sfw/Jj74Ivbo3u/kmI3wnzKf1yN+sWTAjX0tTPK55tfFDQN8MNr3Bz0rUH3e633dylzP7y6/Jz4cDof5rKvHXW3a/IvKXIZ2QaPcc+DP1+3oNXi/CuvQeTTAStiTGhOABGRvVi0Qb8NUBC0XeDbJ1Xo1TaLmat3xPZNvcluMFlWezd3e/YbLuFM3zMDU/uCrS6ztvkDndwgt9lvuGx1+UH98yu+rfza019wP35XzXA3JIW5LuiHc/ozbgCbvx/+wo8Cr/15Cmya72rcFeV0FxGRGok26L8MTDHGvIdb1/M04MUYl2mv1LNNFh/NXs+egmLSU2JYswweTHbp1+7Rm+QCeKverp/7u4fdSmrBU/7ATU2b/YZ7PuWZ0NfCJbNpNwD2bA+/fntGcxewU7Pcuuif3uj2n/WC6ztvG9Sf//t3IKNl6PkturkfERGpNdGO3r/fGPMpcBhuvv6F1tpfqzhNgLZN3NS1hRtyGLRPLQ0KC87Dfs7LgednPe8G3PmD/sFXhk7/g9B0sj2Oc1P+/Ou4+zVq68sL8Bv8/l3Y52A3TmDb8tCBbsMu8zXBG+h7Rvly7ndUNT6ciIjUVERB3xhzILDaWrvBWjvDGNMPOBPYzxizylpbyVJnAtC6sQv6pz/1IyseOAETvKBMXUjNgit+hC2Locfxbh56Rgu3vXGuG6TXboBrgm/WBbwpbiW5n550K7ct+gT2Py2QRc+fUx7Cr9imhDEiIgkn0pr+M8BRAMaYw4EHgKtwq+yNB86q8EwBoHVWYMnTVVtz6dwys+4L0WZ/9wOBddZb9XQ53ovyodsRgfnq4AL7fke69L9rZ8A+w9x+NcOLiNRLkWbk8wbV5s8Fxltr37HW3gFUsU5oZIwxPY0xM4N+cowx15Q5ZqQxJjvomDsreLuE0yoo6H85f2McSxKGMW5Ft+CAH8ybHAj4IiJSb0Uc9I0x/laBI4HgRb5rumgPANbaRdbagdbagcABQC7wXphDv/MfZ62tN3n/WzZK5R9numQx93+ygB25BVWcISIiEluRBv3XgW+MMe8De4DvAIwx+wER5nKNypHAsr0t7e85BwZWofttW24cSyIiIg1RREHfWns/cD1uet6h1pYu7ebB9e3H2nm4G41wDjbGzDLGfGqM2b8Wrl2rRg91gf+UJ36Ic0lERKShiXiVPWvtz9ba96y1u4P2LbbWzohlgYwxKcApwFthXp4B7GutHQA8Dvyvgve4zBgzzRgzbfPmzeEOiZtbTwgssbo7vw6XwBURkQYv2qV168LxwAxrbbnRbtbaHGvtLt/zT4BkY0zLMMeNt9YOsdYOadWqVe2XOApZacmMHurSy85bl1PF0SIiIrGTiEF/NBU07Rtj2hrfBHdjzFBc+beGOzaR3XxcLzJTvIx5/hcN6BMRkTqTUEHfGJMJHA28G7TvcmPM5b7Ns4C5xphZwGPAeUHjC+qNJhnJ3H96P/IKS/ho9vp4F0dERBqIqKbbGWNScZn4OgefG6upc77xAi3K7Pt30PMngCfKnlcfnTaoA3//dCHTV23n9wftG+/iiIhIAxBtTf994FSgCNgd9CPV0Kd9Y2au3kHnmz/mb58siHdxRERkLxdtYp2O1trjaqUkDdAxfdpw87tzABj/7fKQkf0iIiKxFm1N/0ffYjsSA+cM6RSyffLj3zMx0VL0iojIXiPaoH8oMN0Ys8gYM9sYM8cYM7s2CtYQeDyGu07uU7o9Z202l7w8LY4lEhGRvVm0Qf94oDtwDHAycJLvUarpouFd+PqGkSH7/vHZwvgURkRE9mpRBX1fLvwcoA2wb9CP1EDnlpn8fEtgffqnvl7GRS9MYfHGnXEslYiI7G1MNNPcjTGXAFcDHYGZwEHAT9baI2qldDEwZMgQO21a/Wgy35iTx8gHv2ZPYXHpvt8ftA+HdGvJod1b0jgtOY6lExGR+sIYM91aO6Ts/mib968GDgRWWWtHAYOAHTUvngC0aZzGgntDJ0e8+vNv/Om1GfQf94Wy94mISI1EG/TzrLV54BL1WGsXAj1jX6yG7aoj9gu7f832PXVcEhER2ZtEG/TXGGOa4la3+9IY8z6wV615nwiuO7oHS+8/nmuO6h6y/w/P/UJeUNO/iIhINKIdyHe6tXaHtXYccAfwHHBaLZSrQTPGkOT1cPWR3Zl11zGl+7fnFvLp3PVYa3nki0UMvX8iO/MKGfviVOZrxT4REalCtLn3DXA+0NVae48xZh9gIDClFsrW4BljaJIeOnjv2jdmce0bs0q3b3xrNl8t3ETrrFT+fmb/ui6iiIjUI9E27z8FHIxb/hZgJ/BkTEsk5Uy6fgS/3Hokd5+yf7nXPpu3AYCiEsulL09jxIOT67p4IiJST0Sbe3+YtXawMeZXAGvtdmNMyv+3d9/hVVTpA8e/J70HUgghISSh9w4iKIiICGJfsayyiuvquq66/lQsu9iwryhix17XLgLSAtIhFOk1FQIE0khPbju/P+7kmk5COvf9PM99cufM3LnnjiPvzDlz3tME9RLldA31A2D6+dHkFpt5dfkhvNxdKDHb8PN0IybEl7WHMziZVwpAqcWKp5trS1ZZCCFEK1TfO32zUsoV0ABKqVDA1ui1EjX658XdOfDMJH66ZzQAN4+M4rHJvR0BH6DnE0u4/t2N5BaZW6qaQgghWqH6Bv25wI9AmFJqNrAOeL7RayVq5eXuSs8wf168tj//GN+NUV2D8XCt+J8yPjmbUS/E8eqyg+QWm7HaNGdKxJSeWyK5AIQQ4hxWr4x8AEqpXkBZztg4Y6x+q9WWMvI1xNy4w7y6/BC7n5zIlpRsbv/4j988vlcH0nKK6NkxgFlT+2C1afafyGNczw4V9hE9cxF+nm7seerS5q6+EEKIRlRTRr46BX2l1ILKRcZfDaC1vqLBNWwizhL0bTaNyWrDy93el3+6yMSYF1dRUGqp8TML7x1Dv4hAx3L0zEUApLwwpWkrK4QQokk1NA3vKOz59tcCr5R7/dd4iRbm4qIcAR+gnY8HW5+YwH0Xd6/xM++uSWLFvpOUmK2YLBUfzSgstXDf17+TnlvSZHUWQgjRvOr69H5H4BLsQ/VuAhYBX2mt9zZVxUTDebm78sAlPRgc1Y4QP08uf2NdhfW/7DzOLzuP4+/phrVci09iRgHxydn8vOM4Ph5uPH9N/+auuhBCiCZQp6CvtbYCS4AlSilP7MH/N6XUU1rreU1ZQdFwZX33z1/Tnz7hASRlFpBXbOH1uMNkF5rIr9QF8Nyi/US29wZgfUImJouNjUlZ9I8IxGrThPp7NvtvEEII0XB1fpDPCPZTsAf8aGAB8KHW+liT1a4ROEuf/tnYlXaaK+atP+N2E3qHsWL/ScfyoWcvI7OglDWHMrhyUATL9qXz8He7+Pkfo+nVMaApqyyEEKIOaurTr9OdvlLqU6AfsBh4Smu9p5HrJ1pA9w7+xIb4ct+E7ozqGsyLvx7Ew82Fr+KPVNiufMAH6PHEr473i3afYO3hTAD+t+Uo/7m8D+l5JYQHelNitpJTZCI80Lvpf4wQQogzquvT+zag0Fgs/wEFaK11q729kzv9+nnrtwReWnLwrD7r7qq4YmAE329PY/VD43j6l33EHThF0nOTcXGxD/g4dDKfqCCfCg8dCiGEaFwNenpfa+2itfY3XgHlXv6tOeCL+rt6cASxob6sfHCso+y/fxroeO/jUXOwNls1329PA+BodjFxB04B8J1RtudYLhPnrGHeygSKTTJFsBBCNLd6J+dpa+RO/+ytT8jE3dWFETFB/LLzOF9vOcL8W4eTX2Lmhvc3kZRReOad1OLzGSMZ0z0ErTXZhSaC/So+IKi15kB6Pr3D5bpSCCHqo0HJedoyCfpNZ2NiFgMiAzmQnse1b288q33cO74bX285SkZ+KfNvHcaEPmEAmCw2Pt2YwrOL9vP+rcO4xCgvk1tkRrlAgJd7dbsVQgin1tDkPEJUMaprML6ebgztEsTMy3rRMcCLdY9cxG2jo7moZ6hju55h/o73I2OCKuzjjZUJZOTbJwv6dttRPt2YwriXV/H8r/t5dtF+ALamZFf57kvmrGbAk8ua4mcJIcQ5q1Xd6SulUoB8wApYKl+lKKUU8DowGSgC/qK13l7bPuVOv/lorbH/J7KnBd57PI9+EQEopdiYmMVN8zex6sFxzFqwl/TcEg6ezK/TfnuHB/DElN4Mjw7is02p3DQiit7/WQLA2ocvIrfYTKd23gT5nnmW5+kfxnPd0EimDux09j9UCCFauTbRvG8E/WFa68wa1k8G7sUe9EcCr2utR9a2Twn6rdf8tUnEJ2ezbN9JOgZ4kZ5Xe8pfFwU2bR8lYLbaz9vrh0XyzVb7g4Kr/m8cIX4e+Hu5Y7LY8HCr2JBlstgcww0PPDMJd1cXXF0UQghxrjlXgv67wG9a66+M5YPAOK31iZr2KUG/dTNZbMyNO8ztY2IotVj5flsac1cmOOYCOL9rMBsSs+q1zwGRgexKy+W/fxrItUMjHeWn8ksYMTvOsXz14AjmTBtU676KTVaUQoYYCiHalLYS9JOBHOy5AN7VWr9Xaf1C4AWt9TpjOQ54RGtdY1SXoN82Ld2bTtdQX9r5eHDPF9vZnGzv1x8VG8zGpPpdBMSG+PL6DYOZOm9dlXVnmlGw36yl+Hi4Ev/4hHp9pxBCtKQGZeRrRmO01seUUh2A5UqpA1rrNfXdiVLqTuBOgKioqMauo2gGl/bt6Hj/v7+NIqugFE93V/w83Zi9aB/vr02mZ5g/OUUmThkPAtYkKbOw2oAPEPvoImJCfJkzbRDtfTxYcziDywd0ItDbPiqgoNRS6/TEQgjRlrSqp/fL8vhrrU8BPwIjKm1yDOhcbjnSKKu8n/e01sO01sNCQ0MrrxZtULCfJ36e9mvUEGM8/6iuwcQ/PoHk5yeT+NzkCqMEbhjemfsndCfEr/aH+2waEjMKuWLeei54aRWP/7iH+77+HbA/mFgmv8QM2C8Cik1Wbnp/E9tSc+pU95N5Jdz/9e8UmeTiQQjRslpN0FdK+Sql/MveAxOByjn+FwC3KrvzgNza+vPFuWmsMRxwbA/7X6UUri6Kb+4axdWDIwAY1zOU+yf0YOsTl5DywhQ+mD6MwVHt6rT/dYcziU/O5t01SY6yn34/xt+/2Ea/WUs5/4U4NiRmccN7G/l8Uypaa1bsO8mf529mW2o2H69PJs+4SAB4fvF+ftpxnOX7Tlb5rm+2HCV65iJyi81V1gkhRGNrNX36SqlY7Hf3YO92+FJrPVspdReA1vodY8jePGAS9iF7t9XWnw/Sp3+uslhtuLlWvWa12TQbk7I4v2uwY/hgeSdyi1m0y36dmHCqgH9f3gdfowVh7/Fc4pOzeeqXffWqS5CvB9mFpgplUUE+PDa5N5f2DePOz7axfN9J3rxpCFMGhLMxMYuTeSVcNTiCcS+vIiWriCX3X0BesYXYUF9HS4YQQpytNvEgX1OQoC/qa0tKNnd8stVx9/3J7SO467NtFJvrP19A+SGFL107gABvN+763J5aIuWFKQx4cil5JRY+mzGCWz6Ip1sHP1b8a2xtu6yTo9lF+Hu50c7nzLkLhBDnHgn6QtRDXomZxbtOMLpbCJ2DfLDaNEeyi1h98BR7judRUGJh1hV9GPX8ymo//9ClPXl5ae2zFX56+whu/TC+SvmZRhTURfTMRYT6e7JFRh0I4ZTaytP7QrQKAV7u3DDij5Efri6KmBBfYkJiKmx366gufLoxlbAAT07ll6I1jO/VgXsu6sbcuMOUGvkGqlNdwAe4+/Nt3HlhLKeLzXwdf4T/TO3LM7/sY1h0e/p0CqBveCDL9qXTt1MgkUHeNc4/kFFuVEOpxYpCVUlYJIRwLnKnL0QDFZksuLooPN0qJvB5d3UiX8UfISWrqMbPvnTdAB7+bleDvn/lg2MJ8ffkxV8PcMXATmQWmLjnS3sXwjWDI3h12iAuf2MtucVm1jx0EUUmqyN1sRDi3CTN+0K0EJPFRmJGAZe9vhaA7f++hHdXJ9K1gx/XD+vM7rRcrFpz1Zvrz/o72vm4c7qo+hEAD0zowZwVhwBYP3M8D3y9g/iUbJKfn8zuY7nc8kE8yx64kLAArwqfyy0yE+gjsxgK0RZJ874QLcTDzYXe4QH8fM9o8kssBPl68Ojk3o71/SMDAXtf/v4Teaw9nMFziw/Uvk9XF0zWP7oOagr4gCPgA2xPzSHemLUwo6CUF5ccILfYzOpDGexOy6V/ZCDXDYlk1cFTzPhkK706+nMyr4Tf/zPxrH67EKJ1kTt9IVqZ00UmRr+wkjnTBnFJnzAe/2kPX24+4lgf9+BYnvplH2sOZVT43KS+HVmyN73O3zO6WzDrE6qmNH7x2v488v3uCmUbHx1PeKB0BwjRVkjzvhBt3BebU3n8xz3se/pSUjKLiE/O4qaRXVix/yTuri5c0icMgKveXM+Oo6cb9bvfuHEwvcMDUAq6hvqxdG86sSG+dA/zR2vN7mO59I8IrDY3QhmtNd9sPcqlfTvKUEIhmpgEfSGcREZ+KU/8tJsNCVk8clkvwJ69cP7aJD7ZmAqAm4vCYtO083Hnscm9z/phwqTnJrNw9wn++dXvdPD3ZNOjF/PpxhTGdA+lWwc/RypjpRQbEjK5af5mxvfqwId/Gd44P1YIUS0J+kIIEk4V8OaqBJ6c2pcHv93J1IHhdAzwYtp7mwD458XdmRt3+Kz3/6ehkXy7LY2wAE8++ssIXll2kJUHTnHloE78vOO4Y7sPpg9jxidbiQ3x5Z8Xd+cqI31ybXKLzPh7ueHiUnNrghDCToK+EKJaR7KKuPDlVfz5vCievao/D36zk++3p1XY5rbR0Tw+uTfP/3qAD9YlN3odUl6Yws6jp+kV7s9H61O4cUSUY6ZDsAf8gU8vw8PNhd1PTiQjvxRPN1dC/T15dfkhxvUMZUhU+0avlxBtlQR9IUSNth/JoW+nAEeugbEvryI1q4jrh0VyzZBIzosNBuxzG/z4+zHS80rYkJiJ1abZlJRdYV8zxsRUuDDoEuxDai25CsqLCfElObMQgGeu7Et6XgkH0/PJL7GwOdn+Pf+5vA9PL9yHm4si7sGxjH35N8CeBfG82GCGdmnP0ewiis1WeoT5k1VQyobELKYO7ATAN1uP4uPhyuUDOp39AROilZOgL4Sos7IphEP9zzz5T2ZBKW+tSuSH39P4YPowhkS1J+bRxY71ZaMBAr3dHfMZlHUDNLZuHfz45m+jGPLMcsDegjDt3Y1sTs5m82MXExbgRfTMRQBMGRDOzEm96Bzk4/j8kwv2MjiqHVcOOnN3gxCtmQR9IUSzeWXpQXw93bhrbCxKKTYmZjG0S3ve+i2B11Yc5rVpg3h20T5iQ/yIT8lmWJf2RLb35qdy/f5nq/zFRXk3jujMJX3CuP3jP/49uGpQJ167YTBgb8WIfcx+sVI2/0FBqYX45CzG9wqrsC+rTbM5KYvzu4U0uL5CNAUJ+kKIFldqsfLdtjRuGB6Fq/FAXqnFitb2C4X565IZHt2e+bcO58v4I1w3NJJQf0+eX7yfd9ckNUmdNswczyvLDtK7YwCzF+93lC+8dwzvrE5k4a4TrH5oHF2CfR3r3lyVwMtLD/LElN7ccUGsozyroJS8EgsxIb4I0ZIk6AshWrWUzELeWZ3IrKl98fZwrbK+sNTClpRsooJ86NTOGy93V0dT/Zd/HUmf8AAGPb283t9bObthmfBAL07klgD2ORIu6tmBPcfsWQufW7yfH7YfAyBh9mW4udonMiqbKrn8TImJGQU8v3g/c28cjI9HxSSo/9tyhEe+382BZybh5W7/zXklZnzcXR37FOJsSBpeIUSrFh3iywvXDqhxva+nG+N6dqhQ9sSU3ry3Jon+EYH4e7nz5R0jScgo4D8/762w3TWDI+gc5MOve05w6GQB/7ioG/NWJQBUG/ABR8AHas1j8NWWo6w5lMHUgZ3IK7EAMOPjLcwYE8P53UJ45LtdbE3NYVtqDhd0DyU9t4SwAE/+t+UoT/y0B4CTeSV0CfbFZtMMeHIZ1w2N5O5xXdmVdpqrB0fWctSEqB+50xdCtGla6yqZAPcez6WdjwdZBaVc9/ZGFt83hm4d7NkD45OzGRYdxIAnl1Josta43x5hfgyJas/XW46eVb1GRAfRPcyPL4wUyo9e1osJfcKY9Noa7rgglrd/S3RsO21YZ569uh85hSZGPBcHgK+HK4Uma4WWBCHqSpr3hRCinIJS+115Zn4peSVmrphXcZbDsib6q99az+9HTjfqd7u6KKy2qv/2/vWCGN5fm4yXuwslZnsLxLd3jWJ4dBCbkrLo4O/Jy0sPMjImiL+MjmHRrhMM7dIeL3cXMvJL6R7m36j1FG2XBH0hhKjFLzuPU2yyMrFvGMVmq2OCofTcEo7nFvPgNzuZOrATd1wQw4Anl1X5fMcAL9Lz7F0CfcIDKCi1YLVpjp0urnddgn09yCo0OZanDAhn0a4TjmUXBf+6pAevLDtERDtvPNxcSM4srPAsgdWmHQ9LltFaM2fFYSb17UifTgH1rpdoOyToCyFEI/nrp1vRWnPtkEhOF5t5Z3Uicf8ai03DB+uSmX5+F3w83EjOLGTCq6uZM20QY3uEMvCpZYT4eZJXYsZkqf5ZgrqoaVjia9MGkZJVyLVDIrngpVV06+DHr/ddgJuL4sUlBxnXM5Qb3ttEsK8H2/59SUMOgWjlJOgLIUQLO5pdRDsfd7zcXUnMKGDHkdPM/GH3mT/YAGN7hOLp5sKyfScdZZ5uLmx9YgImi41gv9oTMBWbrOxKO83I2GDWJ2TSI8y/TkmbRMuSp/eFEKKFlc/+16tjAL06BmC22jh8qoCHJ/Wi36yljvW+Hq5smHkxFpsNi03z8YYUjmYXsSExi+xyTf9nsvpQRpWyUouNEbPjKDZbcXdVXNInjFevH0ROkYkNCVmcLjZzy3ldeH9tEi8vPQjAz/eM5ub5m+kTHsDi+y6osL/tR3L4cfsxrhsayYDI6qdYtto0c+MOc8uoLoSc4UJDNB250xdCiFZi+OwVxIT48vFt9qmHK4/rB3vwnLcygTkrDvH0lX0ZERPEidwSbvtoS5VtI9p5n9UzBWAfbfD8rweqlLu5KA4+exmfbUzh6sGRBPq4O/IlgH0Gxcj2Plz62hrOiw3i6ztHkV9i5qFvd7FkbzpTB3bijRsHn1WdRN1J874QQrRyFqsNF6XqNH1walYhUUE+jrvqnEIT7X09OF1kIr/EQn6JhR5hfpRYbKw5lEG3Dn5MnLOmyn4CvNzwcHMls6C0zvUc2qU921JziGjnTUGppcLzBRHtvCm1WMkssLdGfHnHSD7dmMqSvemObVb860K6hvphstpQKFwUFYYlaq1ZujedtJxiZoyJqdByYLVpbFrjbmxfUGrh8R938/iU3nTw96pS1w0JmXyyMYV3/jy02haIc5UEfSGEcHJHs4vwcndl4pzV5BSZefvmIUzq1xGtYewrqziabW8VuHpwBDuOnsbX05U9x/KapC4d/D05lf/Hhcb1wyJ56NJePPL9LmJDfJlvzNT4+YyRjOn+xxwH1769gd1pucy9cTAjYoJYtOs4/zaSMR2efRnuri6YrTY2JGYxtkcoPZ74FZPFxq4nJxLg5Y6zqCnoS8YHIYRwEp2DfAj19+TBiT0BGBEThDJaFtY+PN6x3cOTerLq/8ax8N4LeOjSnlX289q0QdxzUVci23tTdvM8bVjnetWlfMAH+GZrGsNnr2DlgVOOgA+wYv9JMgtKKbVY2Xs8l22pOZisNu76fBtDnlleIXPihsQsFuw8zvtrk5j+YTyrDp6i7N7+s42p7Eo7XW1dtNaYrTYOpNd8gWOzacpukuvzTEVrI3f6QgjhhMxWm6OJvMyryw5y6GQB79wytEJ5wqkCfDxcMVttlFps9CiXBCin0ITZZqODvxdfbE7lqV/2YbLYmDW1D0/9ss+x3WOTe/Hc4qrPCNSFh5tLnYY4lp8vAeCRSb2YG3eYYvMfmRfL5zIo65r4aF2y40LjtWmDuGpwxamVTRYbPZ74lfsu7s6kfh257PW1vHzdAP5UxwudE7nFpOUUMzw6qE7bNwZp3hdCCNGsznsuzpGw6PDsy1iw4zgPfrsTgLduHsLfv9heYfu+nQLYe7zxuhNGxAQRn5xdoezyAeFkF5rYkJhV7WcuHxBObrGZAZGB3D46hmA/zwoPKk7pH86i3SeYMiCcZ67sx7dbjzJjTEytqZKHPLOc7EJThQuOptbqh+wppToDnwJhgAbe01q/XmmbccDPQFnbzw9a66ebsZpCCCHqaM3DF7H6UAbbj+Tg7urCtUMjOZlfwktLDjKxT5hju1lT+3Db6Bi01mQWmFi8+wSzFtj76cvmIADoHORNidlGhtE1MDiqXa0pkisHfICF5TIbVqds/drDmby5KhHfSjM+LtptX5+eW8KQZ+yzOm5NzeG1aYNYsiedTu28GdU1uMJnyroDcgpNuLgoAr1b7tmCVnOnr5QKB8K11tuVUv7ANuAqrfW+ctuMA/5Pa315Xfcrd/pCCNE6FZksvP1bIvdc1M0xtXCZg+n5uCjoHuaP2WpjzvJD3DQyivBAb7o+tpiIdt7Mnz6MWz7Y7BgpUNmkvh0rjBo4LzaITUlVLwQAugT74KoUSZmFdap75SmZB3Zux86jpwGIDfUlKaOQZQ9cSHsfD4bPXgHAsC7t2Zqaw8FnJ+HpVnX66MbU5pr3lVI/A/O01svLlY1Dgr4QQji1hFMFBHi50SHAPkTv+21p/PvnPRSZrOycNZEvNqeiUPztwlhiH1sMwMJ7x9AvIpCdR0+zOTmLO8bE8sA3O/h5x3EAbh4ZxU0jo5gydx0A7/x5KIt3n2DBzuNN+luWP3Bhk0yU1KaCvlIqGlgD9NNa55UrHwd8D6QBx7FfAOytZhcOEvSFEOLcZ7baKDFb8a80LK/EbMXD1aXG3AcpmYV8vz2N6edHOzIFFpks+Hi4YbNpfvj9GF9uTqXEbGPfiTz+Pq4rbxnTInfv4Md3d5/PwKeqTsBUH89c2ZdbRkU3aB+VtZmgr5TyA1YDs7XWP1RaFwDYtNYFSqnJwOta6+7V7ONO4E6AqKiooampqc1QcyGEEOcqs9WG2WrDx8ON3Wm53PHpFv52YVduHxPDnmO5XP7Gugrbf3fXKK57Z6Nj+YLuIaw9nMk1QyJIzCh0dAWUOfDMpCpdHA3RJoK+UsodWAgs1Vq/WoftU4BhWuvMmraRO30hhBBNbf7aJNr5eDC5f0fScorpEeZPidnK5NfXMiImiBeuHUCxyYq38WDgsr3p/LzjuOPBwI9vG864nh0arT6tPugre37ET4BsrfX9NWzTETiptdZKqRHAd0AXXcuPkKAvhBCipdhsGqWoMQVwqcVK4qlCeof7N2qa4FY/ZA8YDdwC7FZK7TDKHgOiALTW7wDXAXcrpSxAMXBDbQFfCCGEaElnmkfB082VPp0Cmqk2rSjoa63XAbUeHa31PGBe89RICCGEOLdI7n0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSUjQF0IIIZyEBH0hhBDCSbSqoK+UmqSUOqiUSlBKzaxmvadS6n/G+s1KqegWqKYQQgjRJrWaoK+UcgXeBC4D+gA3KqX6VNpsBpCjte4GzAFebN5aCiGEEG1Xqwn6wAggQWudpLU2AV8DV1ba5krgE+P9d8DFSinVjHUUQggh2iy3lq5AORHA0XLLacDImrbRWluUUrlAMJBZfiOl1J3AncZigVLqYCPXNaTyd4p6k2PYcHIMG06OYeOQ49hwjX0Mu1RX2JqCfqPRWr8HvNdU+1dKbdVaD2uq/TsDOYYNJ8ew4eQYNg45jg3XXMewNTXvHwM6l1uONMqq3UYp5QYEAlnNUjshhBCijWtNQX8L0F0pFaOU8gBuABZU2mYBMN14fx2wUmutm7GOQgghRJvVapr3jT76fwBLAVfgQ631XqXU08BWrfUC4APgM6VUApCN/cKgJTRZ14ETkWPYcHIMG06OYeOQ49hwzXIMldwoCyGEEM6hNTXvCyGEEKIJSdAXQgghnIQE/Xo4U5pgYaeU6qyUWqWU2qeU2quUus8oD1JKLVdKHTb+tjfKlVJqrnFcdymlhrTsL2g9lFKuSqnflVILjeUYIwV1gpGS2sMolxTVNVBKtVNKfaeUOqCU2q+UGiXnYv0opR4w/l/eo5T6SinlJedi7ZRSHyqlTiml9pQrq/d5p5Sabmx/WCk1vbrvqg8J+nVUxzTBws4CPKi17gOcB9xjHKuZQJzWujsQZyyD/Zh2N153Am83f5VbrfuA/eWWXwTmGKmoc7CnpgZJUV2b14ElWutewEDsx1POxTpSSkUA/wSGaa37YX/Q+gbkXDyTj4FJlcrqdd4ppYKAWdgT1Y0AZpVdKJwtCfp1V5c0wQLQWp/QWm833udj/0c2gopplD8BrjLeXwl8qu02Ae2UUuHNW+vWRykVCUwB5hvLChiPPQU1VD2GkqK6EqVUIHAh9pE/aK1NWuvTyLlYX26At5EfxQc4gZyLtdJar8E+yqy8+p53lwLLtdbZWuscYDlVLyTqRYJ+3VWXJjiiherSZhhNe4OBzUCY1vqEsSodCDPey7Gt3mvAw4DNWA4GTmutLcZy+eNUIUU1UJai2tnFABnAR0Y3yXyllC9yLtaZ1voY8ApwBHuwzwW2Iefi2ajvedfo56MEfdFklFJ+wPfA/VrrvPLrjKRKMl60Bkqpy4FTWuttLV2XNs4NGAK8rbUeDBTyR5MqIOfimRjNyVdiv4DqBPjSwLtN0XLnnQT9uqtLmmBhUEq5Yw/4X2itfzCKT5Y1lRp/TxnlcmyrGg1coZRKwd6VNB5733Q7o4kVKh4nSVFdvTQgTWu92Vj+DvtFgJyLdTcBSNZaZ2itzcAP2M9PORfrr77nXaOfjxL0664uaYIFjr7nD4D9WutXy60qn0Z5OvBzufJbjSdYzwNyyzWBOSWt9aNa60itdTT2c22l1vpmYBX2FNRQ9RhKiupKtNbpwFGlVE+j6GJgH3Iu1scR4DyllI/x/3bZMZRzsf7qe94tBSYqpdobLS4TjbKzp7WWVx1fwGTgEJAIPN7S9WmtL2AM9marXcAO4zUZe79eHHAYWAEEGdsr7CMjEoHd2J8SbvHf0VpewDhgofE+FogHEoBvAU+j3MtYTjDWx7Z0vVvLCxgEbDXOx5+A9nIu1vsYPgUcAPYAnwGeci6e8Zh9hf0ZCDP2FqcZZ3PeAbcbxzIBuK2h9ZI0vEIIIYSTkOZ9IYQQwklI0BdCCCGchAR9IYQQwklI0BdCCCGchAR9IYQQwklI0BdC1EopZVVK7Sj3arQZJpVS0eVnIRNCNC23M28ihHByxVrrQS1dCSFEw8mdvhDirCilUpRSLymldiul4pVS3YzyaKXUSmNe8DilVJRRHqaU+lEptdN4nW/sylUp9b4xX/sypZR3i/0oIc5xEvSFEGfiXal5f1q5dbla6/7APOyzAgK8AXyitR4AfAHMNcrnAqu11gOx57/fa5R3B97UWvcFTgPXNumvEcKJSUY+IUStlFIFWmu/aspTgPFa6yRjgqV0rXWwUioTCNdam43yE1rrEKVUBhCptS4tt49o7POFdzeWHwHctdbPNsNPE8LpyJ2+EKIhdA3v66O03Hsr8qyREE1Ggr4QoiGmlfu70Xi/AfvMgAA3A2uN93HA3QBKKVelVGBzVVIIYSdX1EKIM/FWSu0ot7xEa102bK+9UmoX9rv1G42ye4GPlFIPARnAbUb5fcB7SqkZ2O/o78Y+C5kQoplIn74Q4qwYffrDtNaZLV0XIUTdSPO+EEII4STkTl8IIYRwEnKnL4QQQjgJCfpCCCGEk5CgL4QQQjgJCfpCCCGEk5CgL4QQQjiJ/wcy3HdgmMRqlgAAAABJRU5ErkJggg==", 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670 | + "image/png": 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", | |
670 | 671 | "text/plain": [ |
671 | 672 | "<Figure size 576x864 with 2 Axes>" |
672 | 673 | ] |
673 | 674 | |
674 | 675 | |
... | ... | @@ -678,41 +679,13 @@ |
678 | 679 | } |
679 | 680 | ], |
680 | 681 | "source": [ |
681 | - "import matplotlib.pyplot as plt\n", | |
682 | 682 | "\n", |
683 | - "def plot_history(history):\n", | |
684 | - " hist = pd.DataFrame(history.history)\n", | |
685 | - " hist['epoch'] = history.epoch\n", | |
686 | - "\n", | |
687 | - " plt.figure(figsize=(8,12))\n", | |
688 | - "\n", | |
689 | - " plt.subplot(2,1,1)\n", | |
690 | - " plt.xlabel('Epoch')\n", | |
691 | - " plt.ylabel('Mean Abs Error [MPG]')\n", | |
692 | - " plt.plot(hist['epoch'], hist['mae'],\n", | |
693 | - " label='Train Error')\n", | |
694 | - " plt.plot(hist['epoch'], hist['val_mae'],\n", | |
695 | - " label = 'Val Error')\n", | |
696 | - " plt.ylim([0,5])\n", | |
697 | - " plt.legend()\n", | |
698 | - "\n", | |
699 | - " plt.subplot(2,1,2)\n", | |
700 | - " plt.xlabel('Epoch')\n", | |
701 | - " plt.ylabel('Mean Square Error [$MPG^2$]')\n", | |
702 | - " plt.plot(hist['epoch'], hist['mse'],\n", | |
703 | - " label='Train Error')\n", | |
704 | - " plt.plot(hist['epoch'], hist['val_mse'],\n", | |
705 | - " label = 'Val Error')\n", | |
706 | - " plt.ylim([0,20])\n", | |
707 | - " plt.legend()\n", | |
708 | - " plt.show()\n", | |
709 | - "\n", | |
710 | 683 | "plot_history(history)" |
711 | 684 | ] |
712 | 685 | }, |
713 | 686 | { |
714 | 687 | "cell_type": "code", |
715 | - "execution_count": 31, | |
688 | + "execution_count": 14, | |
716 | 689 | "metadata": {}, |
717 | 690 | "outputs": [ |
718 | 691 | { |
... | ... | @@ -725,7 +698,7 @@ |
725 | 698 | }, |
726 | 699 | { |
727 | 700 | "data": { |
728 | - "image/png": 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", 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701 | + "image/png": 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", | |
729 | 702 | "text/plain": [ |
730 | 703 | "<Figure size 576x864 with 2 Axes>" |
731 | 704 | ] |
732 | 705 | |
... | ... | @@ -750,15 +723,15 @@ |
750 | 723 | }, |
751 | 724 | { |
752 | 725 | "cell_type": "code", |
753 | - "execution_count": 32, | |
726 | + "execution_count": 15, | |
754 | 727 | "metadata": {}, |
755 | 728 | "outputs": [ |
756 | 729 | { |
757 | 730 | "name": "stdout", |
758 | 731 | "output_type": "stream", |
759 | 732 | "text": [ |
760 | - "3/3 - 0s - loss: 6.6843 - mae: 2.0619 - mse: 6.6843 - 17ms/epoch - 6ms/step\n", | |
761 | - "ํ ์คํธ ์ธํธ์ ํ๊ท ์ ๋ ์ค์ฐจ: 2.06 MPG\n" | |
733 | + "3/3 - 0s - loss: 6.5964 - mae: 1.9941 - mse: 6.5964 - 38ms/epoch - 13ms/step\n", | |
734 | + "ํ ์คํธ ์ธํธ์ ํ๊ท ์ ๋ ์ค์ฐจ: 1.99 MPG\n" | |
762 | 735 | ] |
763 | 736 | } |
764 | 737 | ], |
765 | 738 | |
... | ... | @@ -770,12 +743,12 @@ |
770 | 743 | }, |
771 | 744 | { |
772 | 745 | "cell_type": "code", |
773 | - "execution_count": 33, | |
746 | + "execution_count": 16, | |
774 | 747 | "metadata": {}, |
775 | 748 | "outputs": [ |
776 | 749 | { |
777 | 750 | "data": { |
778 | - "image/png": 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", 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751 | + "image/png": 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", | |
779 | 752 | "text/plain": [ |
780 | 753 | "<Figure size 432x288 with 1 Axes>" |
781 | 754 | ] |
782 | 755 | |
... | ... | @@ -801,12 +774,12 @@ |
801 | 774 | }, |
802 | 775 | { |
803 | 776 | "cell_type": "code", |
804 | - "execution_count": 34, | |
777 | + "execution_count": 17, | |
805 | 778 | "metadata": {}, |
806 | 779 | "outputs": [ |
807 | 780 | { |
808 | 781 | "data": { |
809 | - "image/png": 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", | |
782 | + "image/png": 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", | |
810 | 783 | "text/plain": [ |
811 | 784 | "<Figure size 432x288 with 1 Axes>" |
812 | 785 | ] |
python-notebook/tools.py
View file @
e90c8a5
... | ... | @@ -2,8 +2,8 @@ |
2 | 2 | |
3 | 3 | from itertools import product |
4 | 4 | from datetime import date, timedelta |
5 | +import matplotlib.pyplot as plt | |
5 | 6 | |
6 | - | |
7 | 7 | # convert a datetime object to a date object |
8 | 8 | def get_date(x): |
9 | 9 | return date(x.year, x.month, x.day) |
... | ... | @@ -47,4 +47,33 @@ |
47 | 47 | temp[acol] = temp[1].apply(lambda x: x[i]) |
48 | 48 | temp = temp.drop(columns=[0, 1]) |
49 | 49 | return temp |
50 | + | |
51 | + | |
52 | + | |
53 | +def plot_history(history): | |
54 | + hist = pd.DataFrame(history.history) | |
55 | + hist['epoch'] = history.epoch | |
56 | + | |
57 | + plt.figure(figsize=(8,12)) | |
58 | + | |
59 | + plt.subplot(2,1,1) | |
60 | + plt.xlabel('Epoch') | |
61 | + plt.ylabel('Mean Abs Error [MPG]') | |
62 | + plt.plot(hist['epoch'], hist['mae'], | |
63 | + label='Train Error') | |
64 | + plt.plot(hist['epoch'], hist['val_mae'], | |
65 | + label = 'Val Error') | |
66 | + plt.ylim([0,5]) | |
67 | + plt.legend() | |
68 | + | |
69 | + plt.subplot(2,1,2) | |
70 | + plt.xlabel('Epoch') | |
71 | + plt.ylabel('Mean Square Error [$MPG^2$]') | |
72 | + plt.plot(hist['epoch'], hist['mse'], | |
73 | + label='Train Error') | |
74 | + plt.plot(hist['epoch'], hist['val_mse'], | |
75 | + label = 'Val Error') | |
76 | + plt.ylim([0,20]) | |
77 | + plt.legend() | |
78 | + plt.show() |