From 51a98df8aa3981195226ee00d44659c35b527eec Mon Sep 17 00:00:00 2001 From: Thibault CORDIER <thibault.cordier@ensiie.fr> Date: Thu, 20 Dec 2018 15:21:44 +0100 Subject: [PATCH] Replace MVA_MP1_Thibault_CORDIER.ipynb --- MVA_MP1_Thibault_CORDIER.ipynb | 4108 +++++++++++++++++--------------- 1 file changed, 2245 insertions(+), 1863 deletions(-) diff --git a/MVA_MP1_Thibault_CORDIER.ipynb b/MVA_MP1_Thibault_CORDIER.ipynb index 0e24a4b..de6d4e6 100644 --- a/MVA_MP1_Thibault_CORDIER.ipynb +++ b/MVA_MP1_Thibault_CORDIER.ipynb @@ -1,1866 +1,2248 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# MiniProject #1: Classification and Regression\n", - "\n", - "*By Thibault CORDIER*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**GOAL:** The goal of this assignment is to learn how to implement simple image classification and\n", - "regression in Keras." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "## 1. Get Started" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "%matplotlib notebook\n", - "plt.style.use('ggplot')\n", - "import numpy as np\n", - "from tqdm import tqdm" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "plt.rcParams['figure.figsize'] = [15, 5]" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - } - ], - "source": [ - "from keras.models import Sequential\n", - "from keras.layers import Dense, Activation\n", - "from keras.layers import Conv2D, Deconv2D, MaxPooling2D\n", - "from keras.layers import Dropout\n", - "from keras.layers import Flatten\n", - "from keras.optimizers import SGD, Adam\n", - "from keras.utils import to_categorical" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We add the code provided with the subject." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "IMAGE_SIZE = 72\n", - "\n", - "def generate_a_drawing(figsize, U, V, noise=0.0):\n", - " fig = plt.figure(figsize=(figsize,figsize))\n", - " ax = plt.subplot(111)\n", - " plt.axis('Off')\n", - " ax.set_xlim(0,figsize)\n", - " ax.set_ylim(0,figsize)\n", - " ax.fill(U, V, \"k\")\n", - " fig.canvas.draw()\n", - " imdata = np.frombuffer(fig.canvas.tostring_rgb(), dtype=np.uint8)[::3].astype(np.float32)\n", - " imdata = imdata + noise * np.random.random(imdata.size)\n", - " plt.close(fig)\n", - " return imdata\n", - "\n", - "def generate_a_rectangle(noise=0.0, free_location=False):\n", - " figsize = 1.0\n", - " U = np.zeros(4)\n", - " V = np.zeros(4)\n", - " if free_location:\n", - " corners = np.random.random(4)\n", - " top = max(corners[0], corners[1])\n", - " bottom = min(corners[0], corners[1])\n", - " left = min(corners[2], corners[3])\n", - " right = max(corners[2], corners[3])\n", - " else:\n", - " side = (0.3 + 0.7 * np.random.random()) * figsize\n", - " top = figsize/2 + side/2\n", - " bottom = figsize/2 - side/2\n", - " left = bottom\n", - " right = top\n", - " U[0] = U[1] = top\n", - " U[2] = U[3] = bottom\n", - " V[0] = V[3] = left\n", - " V[1] = V[2] = right\n", - " return generate_a_drawing(figsize, U, V, noise)\n", - "\n", - "\n", - "def generate_a_disk(noise=0.0, free_location=False):\n", - " figsize = 1.0\n", - " if free_location:\n", - " center = np.random.random(2)\n", - " else:\n", - " center = (figsize/2, figsize/2)\n", - " radius = (0.3 + 0.7 * np.random.random()) * figsize/2\n", - " N = 50\n", - " U = np.zeros(N)\n", - " V = np.zeros(N)\n", - " i = 0\n", - " for t in np.linspace(0, 2*np.pi, N):\n", - " U[i] = center[0] + np.cos(t) * radius\n", - " V[i] = center[1] + np.sin(t) * radius\n", - " i = i + 1\n", - " return generate_a_drawing(figsize, U, V, noise)\n", - "\n", - "def generate_a_triangle(noise=0.0, free_location=False):\n", - " figsize = 1.0\n", - " if free_location:\n", - " U = np.random.random(3)\n", - " V = np.random.random(3)\n", - " else:\n", - " size = (0.3 + 0.7 * np.random.random())*figsize/2\n", - " middle = figsize/2\n", - " U = (middle, middle+size, middle-size)\n", - " V = (middle+size, middle-size, middle-size)\n", - " imdata = generate_a_drawing(figsize, U, V, noise)\n", - " return [imdata, [U[0], V[0], U[1], V[1], U[2], V[2]]]\n", - "\n", - "def generate_dataset_classification(nb_samples, noise=0.0, free_location=False):\n", - " # Getting im_size:\n", - " im_size = generate_a_rectangle().shape[0]\n", - " X = np.zeros([nb_samples,im_size])\n", - " Y = np.zeros(nb_samples)\n", - " for i in tqdm(range(nb_samples), desc='Creating data'):\n", - " category = np.random.randint(3)\n", - " if category == 0:\n", - " X[i] = generate_a_rectangle(noise, free_location)\n", - " elif category == 1:\n", - " X[i] = generate_a_disk(noise, free_location)\n", - " else:\n", - " [X[i], V] = generate_a_triangle(noise, free_location)\n", - " Y[i] = category\n", - " X = (X + noise) / (255 + 2 * noise)\n", - " Y = to_categorical(Y, 3)\n", - " return [X, Y]\n", - "\n", - "def generate_test_set_classification(free_location=False):\n", - " np.random.seed(42)\n", - " [X_test, Y_test] = generate_dataset_classification(300, 20, free_location)\n", - " return [X_test, Y_test]\n", - "\n", - "def generate_dataset_regression(nb_samples, noise=0.0):\n", - " # Getting im_size:\n", - " im_size = generate_a_triangle()[0].shape[0]\n", - " X = np.zeros([nb_samples,im_size])\n", - " Y = np.zeros([nb_samples, 6])\n", - " for i in tqdm(range(nb_samples), desc='Creating data'):\n", - " [X[i], Y[i]] = generate_a_triangle(noise, True)\n", - " X = (X + noise) / (255 + 2 * noise)\n", - " return [X, Y]\n", - "\n", - "import matplotlib.patches as patches\n", - "\n", - "def visualize_prediction(x, y, ax):\n", - " #fig, ax = plt.subplots(figsize=(5, 5))\n", - " I = x.reshape((IMAGE_SIZE,IMAGE_SIZE))\n", - " ax.imshow(I, extent=[-0.15,1.15,-0.15,1.15],cmap='gray')\n", - " ax.set_xlim([0,1])\n", - " ax.set_ylim([0,1])\n", - "\n", - " xy = y.reshape(3,2)\n", - " tri = patches.Polygon(xy, closed=True, fill = False, edgecolor = 'r', linewidth = 5, alpha = 0.5)\n", - " ax.add_patch(tri)\n", - "\n", - "def generate_test_set_regression():\n", - " np.random.seed(42)\n", - " [X_test, Y_test] = generate_dataset_regression(300, 20)\n", - " return [X_test, Y_test]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "## 2. Simple Classification" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We generate a training set of images of simple geometric shapes (rectangle, disk, triangle)\n", - "centered in the images." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Creating data: 100%|██████████| 300/300 [00:05<00:00, 54.07it/s]\n", - "Creating data: 100%|██████████| 300/300 [00:05<00:00, 52.48it/s]\n" - ] - } - ], - "source": [ - "# Generate training and test sets (2x 300 samples with noise)\n", - "[X_train, Y_train] = generate_dataset_classification(300, 20)\n", - "[X_test, Y_test] = generate_test_set_classification()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We propose to visualize some images in the training set of images." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - 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\n", - "text/plain": [ - "<Figure size 1080x360 with 5 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plot 5 elements of the training set\n", - "width = np.sqrt(X_train[0].size).astype(int)\n", - "height = width\n", - "for i in range(5) :\n", - " plt.subplot(101+5*10+i)\n", - " img_i = X_train[i].reshape(width, height)\n", - " plt.grid(linestyle=' ')\n", - " plt.imshow(img_i)\n", - " plt.title(\"Image n°\"+str(i+1))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "#### Q1: Build and train a linear classifier in Keras to classify a image into one of the three possible categories (i.e. rectangle, disk, triangle). Try using the stochastic gradient descent optimizer, then the Adam optimizer." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "# Define the input size and the number of classes\n", - "input_size = X_train[0].size\n", - "num_classes = 3" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We define *linear_classifier*, *visualialization* and *test_classifier* functions in order to classify a image into one of the three possible categories (i.e. rectangle, disk, triangle)." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "#==================================================================================================#\n", - "# linear_classifier(input_size, num_classes, optimizer, lr)\n", - "#\n", - "# WHAT: Configures the model for training\n", - "#\n", - "# INPUT:\n", - "# - input_size\n", - "# - num_classes\n", - "# - optimizer\n", - "# - lr\n", - "#==================================================================================================#\n", - "def linear_classifier(input_size, num_classes, optimizer, lr) :\n", - " \n", - " # Definition of the model\n", - " model = Sequential([\n", - " Dense(num_classes, input_shape=(input_size,), activation='softmax')])\n", - "\n", - " # Definition of the optimizer\n", - " if optimizer == \"SDG\" :\n", - " opt = SGD(lr=lr)\n", - " elif optimizer == \"Adam\" :\n", - " opt = Adam(lr=lr)\n", - "\n", - " # Compilation of the model\n", - " model.compile(loss='categorical_crossentropy', # mean_squared_error\n", - " metrics=['accuracy'],\n", - " optimizer=opt)\n", - " \n", - " return model\n", - "\n", - "#==================================================================================================#\n", - "# visualization(history)\n", - "#\n", - "# WHAT: Generate loss & accuracy plots for training & validation\n", - "#\n", - "# INPUT:\n", - "# - history\n", - "#==================================================================================================#\n", - "def visualization(history) :\n", - " # Plot training & validation accuracy values\n", - " plt.subplot(121)\n", - " plt.plot(history.history['acc'])\n", - " plt.plot(history.history['val_acc'])\n", - " plt.title('Model accuracy')\n", - " plt.ylabel('Accuracy')\n", - " plt.xlabel('Epoch')\n", - " plt.legend(['Train', 'Test'], loc='upper left')\n", - "\n", - " # Plot training & validation loss values\n", - " plt.subplot(122)\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.legend(['Train', 'Test'], loc='upper left')\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we try using the stochastic gradient descent optimizer." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "300/300 [==============================] - 0s 47us/step\n", - "Train loss: 0.23432007948557534 \t Train accuracy: 0.9933333333333333\n", - "300/300 [==============================] - 0s 55us/step\n", - "Test loss: 0.2650641886393229 \t Test accuracy: 0.98\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "epochs = 100\n", - "batch_size = 32\n", - "validation_split=0.25\n", - "lr = 0.001\n", - "\n", - "# Configures the model for training\n", - "model_SDG = linear_classifier(input_size, num_classes, optimizer=\"SDG\", lr=lr)\n", - "\n", - "# Trains the model for a given number of epochs (iterations on a dataset)\n", - "history_SDG = model_SDG.fit(X_train, Y_train, validation_split=validation_split, \n", - " epochs=epochs, batch_size=batch_size, verbose=0)\n", - "\n", - "# Returns the loss value & metrics values for the model in train and test mode.\n", - "eval_SDG = model_SDG.evaluate(X_train,Y_train)\n", - "print(\"Train loss: \", eval_SDG[0], \"\\t Train accuracy: \", eval_SDG[1])\n", - "eval_SDG = model_SDG.evaluate(X_test,Y_test)\n", - "print(\"Test loss: \", eval_SDG[0], \"\\t Test accuracy: \", eval_SDG[1])\n", - "\n", - "# Generate loss & accuracy plots for training & validation\n", - "visualization(history_SDG)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "Now, we try using the Adam optimizer." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "300/300 [==============================] - 0s 42us/step\n", - "Train loss: 0.020975795363386472 \t Train accuracy: 1.0\n", - "300/300 [==============================] - 0s 57us/step\n", - "Test loss: 0.03363459361096223 \t Test accuracy: 1.0\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "epochs = 100\n", - "batch_size = 32\n", - "validation_split=0.25\n", - "lr = 0.001\n", - "\n", - "# Configures the model for training\n", - "model_ADAM = linear_classifier(input_size, num_classes, optimizer=\"Adam\", lr=lr)\n", - "\n", - "# Trains the model for a given number of epochs (iterations on a dataset)\n", - "history_ADAM = model_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", - " epochs=epochs, batch_size=batch_size, verbose=0)\n", - "\n", - "# Returns the loss value & metrics values for the model in train and test mode.\n", - "eval_ADAM = model_ADAM.evaluate(X_train,Y_train)\n", - "print(\"Train loss: \", eval_ADAM[0], \"\\t Train accuracy: \", eval_ADAM[1])\n", - "eval_ADAM = model_ADAM.evaluate(X_test,Y_test)\n", - "print(\"Test loss: \", eval_ADAM[0], \"\\t Test accuracy: \", eval_ADAM[1])\n", - "\n", - "# Generate loss & accuracy plots for training & validation\n", - "visualization(history_ADAM)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Conclusion**:\n", - "\n", - "We build and train a linear classifier in Keras using the SGD and Adam optimizer. We obtain the following results:\n", - "\n", - "|Loss|Train|Test|\n", - "|:-:|:-:|:-:|\n", - "|SGD optimizer (linear classifier)|0.223|0.254|\n", - "|Adam optimizer (linear classifier)|0.020|0.026|\n", - "\n", - "|Accuracy|Train|Test|\n", - "|:-:|:-:|:-:|\n", - "|SGD optimizer (linear classifier)|0.96|0.94|\n", - "|Adam optimizer (linear classifier)|1.00|1.00|\n", - "\n", - "\n", - "Results are better using Adam optimizer than using SGD optimizer. In addition, the convergence of loss and accuracy function is more stable with less fluctuation using Adam optimizer than using SGD optimizer." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "## 3. Visualization of the Solution" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We would like to visualize the weights of the linear classifier, in others words the 3 columns of the weights as images." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Q2: Visualize the 3 columns as images." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 6 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Visualize the weights of the linear classifier (the solution)\n", - "width = np.sqrt(X_train[0].size).astype(int)\n", - "height = width\n", - "\n", - "# ... with model_SDG (line 1)\n", - "for i in range(3) :\n", - " plt.subplot(231+i)\n", - " col_i = model_SDG.get_weights()[0][:,i].reshape(width, height)\n", - " plt.grid(linestyle=' ')\n", - " plt.imshow(col_i)\n", - " plt.title(\"Col n°\"+str(i+1)+\" with SDG\")\n", - " \n", - "# ... with model_ADAM (line 2)\n", - "for i in range(3) :\n", - " plt.subplot(231+i+3)\n", - " col_i = model_ADAM.get_weights()[0][:,i].reshape(width, height)\n", - " plt.grid(linestyle=' ')\n", - " plt.imshow(col_i)\n", - " plt.title(\"Col n°\"+str(i+1)+\" with ADAM\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Conclusion:**\n", - "\n", - "When we visualize the weigths of the linear classifier as images, we can recognize geometric figures (circle, rectangle and triangle) in the case when we used the Adam optimizer (corresponding to the second line).\n", - "\n", - "In the case when we used the SGD optimizer (corresponding to the first line), it is difficult to recognize geometric figures." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "## 4. A More Difficult Classification Problem" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, the shapes are allowed to move within the images and change dimensions. We generate the new training and test sets." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Creating data: 100%|██████████| 300/300 [00:05<00:00, 51.59it/s]\n", - "Creating data: 100%|██████████| 300/300 [00:05<00:00, 50.53it/s]\n" - ] - } - ], - "source": [ - "# Generate training and test sets (2x 300 samples with noise and with move)\n", - "[X_train, Y_train] = generate_dataset_classification(300, 20, True)\n", - "[X_test, Y_test] = generate_test_set_classification(True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We propose to visualize some images in the training set of images." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 5 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plot 5 elements of the training set\n", - "width = np.sqrt(X_train[0].size).astype(int)\n", - "height = width\n", - "for i in range(5) :\n", - " plt.subplot(101+5*10+i)\n", - " img_i = X_train[i].reshape(width, height)\n", - " plt.grid(linestyle=' ')\n", - " plt.imshow(img_i)\n", - " plt.title(\"Image n°\"+str(i+1))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we try using the stochastic gradient descent optimizer." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "300/300 [==============================] - 0s 46us/step\n", - "Train loss: 1.0199457756678263 \t Train accuracy: 0.4866666658719381\n", - "300/300 [==============================] - 0s 56us/step\n", - "Test loss: 1.0717993211746215 \t Test accuracy: 0.4266666668653488\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "epochs = 100\n", - "batch_size = 32\n", - "validation_split=0.25\n", - "lr = 0.0001\n", - "\n", - "# Configures the model for training\n", - "model_SDG = linear_classifier(input_size, num_classes, optimizer=\"SDG\", lr=lr)\n", - "\n", - "# Trains the model for a given number of epochs (iterations on a dataset)\n", - "history_SDG = model_SDG.fit(X_train, Y_train, validation_split=validation_split, \n", - " epochs=epochs, batch_size=batch_size, verbose=0)\n", - "\n", - "# Returns the loss value & metrics values for the model in train and test mode.\n", - "eval_SDG = model_SDG.evaluate(X_train,Y_train)\n", - "print(\"Train loss: \", eval_SDG[0], \"\\t Train accuracy: \", eval_SDG[1])\n", - "eval_SDG = model_SDG.evaluate(X_test,Y_test)\n", - "print(\"Test loss: \", eval_SDG[0], \"\\t Test accuracy: \", eval_SDG[1])\n", - "\n", - "# Generate loss & accuracy plots for training & validation\n", - "visualization(history_SDG)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "Now, we try using the Adam optimizer." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "300/300 [==============================] - 0s 47us/step\n", - "Train loss: 0.8049538318316142 \t Train accuracy: 0.5966666674613953\n", - "300/300 [==============================] - 0s 53us/step\n", - "Test loss: 0.9088852365811666 \t Test accuracy: 0.546666667064031\n" - ] - }, - { - "data": { - "image/png": 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SKaXmV6kyhS8F9riuuw/AcZzbgSuAXWn7vAv4uuu6vQCu63aWaGwl0dzczPbt2wH48pe/TE1NDddee23R57n99ts57bTT9Ian1BJmvKAwQ1U1pphMYfo6wjxrCk1vFwz2Q1cHLF81w5GqxUhEEJFZzRTqPVIppeZXqYLC1cDBtMeHgJdl7XMSgOM4D2KnmH7Kdd2fedsijuM8CiSAm1zX/eEcj7ekXNflO9/5DqOjo5x11ll87nOfI5lM8oEPfIBdu3ZhjOEtb3kLLS0tPPXUU7znPe8hEokU9e6pUmrhMyNR6OlC2tZNvWN/L6zO2idSVdSawoxMYb4M4/Cg/XxwnwaFKoeIXedRCnqPVEqpuVeyNYUFCAGbgYuANcADjuNsc123D1jvuu5hx3FOAO51HGen67p70w92HOca4BqwN5CWlpaMk3d0dBAKFf/tzuSY6QQCAQKBAKFQiN27d/Pzn/+cO++8k1AoxHXXXcePf/xjNmzYQF9fH7/85S8B6O/vp6Ghgdtuu40bb7yR0047raDXCofDOdfieIVCoVk/Z7nTa5KfXpf8Jrsug9/5OrFf/JCW7/1iyimbnQN9RM48h/q0c/TWN2BiUZoLvN7xF0J45WqoHE/QmHVc90iMBFB17Ai1Jfo31J+X8hEQmdXpo5N5+umn+dnPfsYdd9xBKBTi+uuv54477mD9+vX09vZyzz33AKl75K233spnP/vZgu+RSimlrFIFhYeBtWmP13jPpTsE/NZ13TFgv+M4z2KDxEdc1z0M4LruPsdx7gdeDGQEha7r3gzc7D00XV1dGSePx+MEg0EAbnm0g/29I9MO2k6PKeymt7EpwjvPWlnQvslkkmQySSKR4P777+fxxx/n0ksvBWBkZIRVq1Zx/vnns2fPHm644QZe+cpXcuGFF5JIJDDGkEgkSCQSBb1WPB4n+1ocr5aWllk/Z7nTa5KfXpf8Jrsu47seh+gwXQdeQGpq8x5rRuOY6BAjFRFG084xHqqAwYGCr3fy6BH7RVU18d6enOPGvQqnw888xUiJ/g1n+vPS1tY2B6NZugq5R44kDAGBymBh602LuUem+9WvfsUTTzzBZZddZl93ZITW1lYuvPBC9u7dy8c//vGJe6RSSqmZK1VQ+Aiw2XGcjdhg8E3A1Vn7/BB4M3Cr4zgt2Omk+xzHaQKiruvGvefPBb5YonHPOWMMV111Fddff33Otrvvvpt7772X2267jbvuuosvfnHRfNtKqSwmmYQD++yDgT6YJCj0G9fT2JzxtESqMTMpNNO8PGdNoTEmNX30wF6UyqcU00f1HqmUUqVRkqDQdd2E4zjvBX6OXS/4bdd1n3Ic59PAo67r/sjb9irHcXYB48CHXdftdhzn5cC/Oo6TxPZVvCm9aulMFPpuZSgUKjgjN1Pnn38+11xzDe985ztpbm6mp6eHWCxGJBIhHA7zhje8gY0bN/LhD38YgNraWoaHtaeYUotO19GJvoEM9EHrJK0gvKBQ8hSaKaolRXpQeOxI5rbROCTGbB/E/h5MXw+SFYSqxauQe+ThgVHAsLo+PKdj0XukUkqVRsnWFLquexdwV9Zzn0j72gAf9D7S93kI2FaKMc6HrVu38sEPfpCrrroKYwyhUIibbrqJYDDIddddhzEGEeFjH/sYAI7j8KEPfUgX0Su1yJgX9qW+Huhj0kl5fqawIStIi1TDSAyTTNq+hdOJDUMggDQ2Y7KzgV6WULaegfnNfbbYjAaFKo0IJEvQvV7vkUopVRoLqdDMknHddddlPL7yyiu58sorc/b7xS9+kfPc5ZdfzuWXXz5nY1NKzYw5ehiaWpDwDDMnB9MCs8G+SXcz/T32i4bGzA1VtpE98RGbNZxOLApVNVBdA9GszMqQN3V0y+nwm/swB/Yh286a/pyAGR6CkSiyTFsCLGYBEcbnaAKp3iOVUqr0NChUSqnjZOJxkp95P/JaB3mdM7NzvLAP1myAwwfs9NHJ9PdBIAC1DZnPR7xAMBYtLCgc8farqoGxUczYGFJRYbf5mcKWFZgVbbmZxKm+jx9+F7P7DwQ/+82Cj1H5OY7zbeD1QKfrujnlNB3HuQL4DJDEtmz6W9d1d5RibCKQLFVPCqWUUnOugDlGSimlpnRoP4yOQkd2UeXCGGPg4D5k/Saoq58mKOyB+sbcKaJ+IFjgukLjB4/VNfaJ9GIzfpGZmjpk3QmpAjiFnLf7GHR1FFy5WU3pNuA1U2y/BzjDdd0XAW8HbinFoAACFF6dWyml1MKnQaFSZc709WD8P+LVcTOd7Zj49C1rMo45aIMm05O/nYI5ehgzNjr5CXq7YbAf1p0A9Y2YKYJC09+bu54QkKq0TGEhYsM2S1jlBYVpU0jN8JD9oqYO1p1ogzz/uekMDcB4IndKqiqa67oPAD1TbB/y1uMD1FC6fvKaKVRKqUVmyQSFS/UdzaX6fS8lyX+5CfMfN0+/o5qWGRog+fd/g/nJfxZ3oJ9J6zmWe86xUZKfeT/mTnfy472gUtadCPWNU2cKB3rtPtkiRQaFUZspFD8oTD9uaMB+rqm1mcK0MU7LP3aq70HNGsdxrnQc52ngTmy2cEaKvVcEREoXgc4RvT8qpVTKkllTGAgESCQShEJL5lsmkUgQKKQKoSpvvV1l/8fZQmF++0sYHcU8s7O44/ygsLcrt/pnd6c95+O/hTe+Nf/xL+y1qZc1G5D6RkxH++Qv1t9rp5lmK3L6KLFhpGp92vTRtExgdAgqK5HKMMYLCs2BvciW06c/r1+kZqq2GmrWuK77A+AHjuNcgF1feEm+/RzHuQa4xjuGlpaWjO0iQjKZpMJfVzqNgCQxxhAMBhEprIH9QjI2NkZtbS3Lli2b1fOGQqGca6v0ukxGr0t+el3ym+vrsmQipEgkwsjICPF4vOAbWDgcJh6Pz/HI5oYxhkAgQCQSme+hqLkWi0JoYL5HUfaMMZgd2+2DA3sx8XhBlURNIgGHn7fTMGPDMNQP9Wk9BLs67OfDL2B6jiHNy3PPcXAfrFyNRKowdQ0w2DdRaj9jv+Q4DPRDdo9CmMgUmlh08nYW6fw1hX4wmT7dc2gQauoBkLoGaGrJWFdookMwPIQsX5V7Lby1iVO21VCzznXdBxzHOcFxnBbXdXPmMbuuezPgTykwXV2ZuxhjGBkZIRqNFnSPPDaU4NnOYVaGxwmW2ZuP6ffH7OtwvFpaWmb9nIuBXpf89Lrkp9clv5lcl7a2toL3XTJBoYhQ5ZdsL5D+UKqFziSTXsNz/fP7uL2wBw49D6efDX94BJ5/Fk4uoEXqkYOQSCAveTnm4QeguysjKDR+UAiYJx9DLshTN+TAXmTTKfbr+kZbtCY+ApGs31kD/WCSmUGnz//9NhKbdsjGGK/6aM1EpjA9mDTDg1BTmzpg3QkT2VBz+ADJr30aRAje+K3ME6evbdXpo3POcZxNwF7XdY3jOC8BwkD3TM5V7D3yUM8oNz/RzgWbV1AdDs7kJZVSSi0gSyYoVGpRGomBMRAbxiTGkFBhU79ULrNjO1RWEnjzNST/8AjmuV1IAUHhRLuGF70MHn7ArivcuDm1Q1cHhELQ0Iz5w6OQFRSawQHo6bIFXSC1XnCgL09QaBvXS95MobdvIWsKR+O283h69dFoVvXRmrqJh7LuBMwfHsU88TDJf/vKROP7nKmyQ2lB4RS9FlVhHMf5PnAR0OI4ziHgk0AFgOu6/wL8CfAXjuOMATHgqrTCM3MqHLL/7vHxJHVoUKiUUuVOg0KlytlIVnGQxtldH7NYmWNHbVuHsJ1ebeJxzMMPIC85F2lZCW3rMHt3F3ayA/sgHEG2nIEBTO+xjLyt6eqAZSuRrWdgHroHMzaWebzXtN4v6CL1jXaN6EAfrGjN3LffBoX5po9KIAjhSGFrCv32E1U1EK4CCeROH129LnXudSdgTJLkP38W2tYh51+K+cUPYXjIttCYOC5tGnOeTKGJRWE0nj+oVTlc133zNNu/AHyhRMPJEPGDwoSuaFZKqcWgvBYCKKUypWeFBnVdYSGMMSQ/+wGSn7tuYmqn+d1DEIsi510KgGzaCnufsWv4pjvfgb2wdiPU1kFl2E4fTdfVCS0rkG1n2gzdc09mHe+t1fOrfKZnCrNfq8/rTtCY25ICsJm/QjKF/j6RKrt+rKo6p0+hpGUK2XAShCrglBcR+MgXwC90k50N9IPCYDBvWw3z37eS/MePTz8+teBNZAoTyXkeiVJKqdmgQaFS5Sz9D/nB/vkbRzkZHrRZsSMHSd74Ycz+5+zU0eWr4KRT7T6bTrHXtv3AlKcyySQcfB5Ze4INrpqXY7LbUnR12OzjyadDqAKz87HM7Qf2wbIVqSCszgaFeXsV+s/la0kBtthMIUGhlxUUf+podU2qQIwxtvpo+vTRxmYCN95M4P2fRKprkEkCV+MHhSva8ge1Rw5Cx+GCgm21sEUq7JTR0XHNFCql1GKgQaFS5SwtADAlCgrNQC+m0LYHC1GfrcMhl18NFZUkv3QDPPskcu4lE1UXZdNWAMyeaaaQdh6BeAzWe+sBm5dDbypTaGJRG4S2rLSVTLdsywkKzYF9qSwhQF2D/ZwvKOzvgepapKIy/3iqqgv7t/F/bvzKo1XVdqxg16mOj2cEhQDSuMxOUYWJoDQncPWDwra1+cff02XP3a/rDctd+ppCpZRS5U+DQqXKmImWPlOY/IePYtxvl+S15kSvnYIpW88g8NF/gNUbIFSBvPyVqX1aVtp1e9MEhX6RGVnrrQdsbslsYO9NT5WWlfbzaWdBx2ESRw7Zaax33wEdh5GNJ08cIqGQDcjy/Hua/t787Sh8kaqCqo9OrDv0G9dX19rsIKQCu9q63ON8k01xHRqEcJVtu+G11ZgYe3I8FTBnZ1NV2YmE7BsEOn1UKaUWBy00o1Q5K/GaQhOLwtHDmMrp+/ctVMbLFNK0DKlvInD9jTDQjzSlivSICGzaOn2m8MA+W1m0ba193Lwc+nsxY2NIRUWqR6EfFJ5+Fub2m4k/sgPz/F7MfXfCi89BXvH6zPPWN+afPtrfO/l6QrCZP78YzRRMnkwhx47ar73gUNJbUmSrroVgME9QOGCDyXxtNfr7bMVTwPR0ISdOO0y1gIW10IxSSi0qmilUqpz5GZ9wlW2aPteOHPQ+HyrfdWG9XlDoZdwkVGEzfFlk01bo7sT0Tt72zRzYC23rU61A/Mb0XkbMZAeFy1fBqtUMffcbmPvuRF71RgLXfsROLU1X3zjJ9NHe1Hq+PCRSXXz1UUCqalJvMPhtJWrq8xzovU4gYKe55ltTWFs/sS4yY3t6dlAzhWUvUqHTR5VSajHRoFCpchaLQiAAy5aXZE2h8YPCsVFbVbMc9XVDXcO0PR39ZvKTZQuNMXBwH7I+lfKaCC79aZJdHTZTll605cXnQDKJvOVaAn/29tQ6vfTXzhMUGmNsFrBhmkxhodVHRWwLC8gsNOM3oJ8qUwhQ15D7M+dlCvMVojE9aVVZNSgse35LCi00o5RSi4MGhUqVs9iwzfbUNZSmJUX7wdTXRw5Ovt8CZvp6oKmAfo5rNtoWE3t25d/e02WzamvTisR4mULTbYMe09Vhi8xIqnOhXH41Ld/8LwIXvXby165ryG33EBu2wXgBawpNcprsTSxq21H4jeeralLH+UHhVGsKIX82c2gAqa3Pv+bQDwSbWjIDRFWWwrqmUCmlFhUNCpUqZ7EoVFXbP8RLkSlsPzAxFdJM065hwerthsbpg0IJhWDjSZOvK8xqOg+kgk0/APKCwszzVhDMbkqfrb4RYlHM2GjquSka10+oqgFjYHRk6vNHh1PrCcFmCo2xU0/9oLB66qAwXzaT4UE7fTRfddKeY/Y1V6/XTOEikKo+qplCpZRaDDQoVKqMGS8otJml0qwplBO22KCqvTwzhfR1IwUEhQCy+VQ4uD9/I/bndtliK2s2pPavDNt/i94uO93T71FYrHyZNi8olCmDQq+oS2zqCqRmJJqqPAo2KAQbLA4N2ixiaJo6ZF5Q6FcYNYkx+yZFbX3ethqmpwual9vKpBoUlr1gQAgFRDOFSim1SGhQqFQ5S58+Gh3CJBJz9lJmJAbdnbbSZtu6sswUmrExu+6taYp1eWnsaoK9AAAgAElEQVTkpeeDSWJ+c1/meRIJzK/vg21nI/66PJ/fwH6wH0bjOZnCgl53IihMBfpmIlM4xdgjXvZvumIz/psJ/uv5X/t9FWummToKNij0A0FIFaiprc/fVqPnGDS1QHMLDA1gRuPTv4Za0MIh0TWFSim1SGhQqNQ8Mn09x3eCaFqmEFJT/+bCkUMASNs6pG0tHD04/dq1WWaSySmrgU7Lb0dRaKawdS2cuAWz4+6MnnvsfBQG+wmcd0nuQc0t0H0sp0dhUfJmCr2flSkyhRnB3VRiWZnCqlSm0AwPFR4UQirw8/obir8Wsa4hZ/qoNC9PVWjVdYVlLxwMaKZQKaUWCQ0KlZonZs9uktf/FebQ8zM/yUgUqapG6rz2AXM4hdQc8TKDrWvtx+iozRyWkLn7DpIfvWbmlVa9ILzQ6aMAcu4ltqjOvmcmnks+eLfN2J12Zu7+zcuhpyunHUVRJtbkpfUc7Oqw1ULT1wJmKzhTOJwKICE1fTQ2lOo1OA3Jbjsx0fS+PvU9eNvMaNxub26x1wd0CukiUBkUXVOolFKLhAaFSs0T09EOxmCef27mJ4llZQrncl1h+wEIVcDyVUjbOu+50q0rNMZgfvkzO2Vxuqbyk50jrXF9oeTs8yAcwezY7p2jB3Y+irz8YiSY206C5haIx2xje4BlK4ofaL41eU89DiedllHJNMfEmsICMoWRtKDQyxSaaBSGh5BiMoX+GIdT00chqxCNnxVsXm6vD2B6NVNY7sIhzRQqpdRioUGhUvPFbzY/w9YOxpjUmsJaG0TMZa9C034QVq22gVDbWvvckRKuK3z2Keg8Yl93hkHhROP6YjKFkWrkrPMwj+zAjMQwv77X9hk899L8+/ttKZ57yvZDjFQVPUypDNv2Et6/p+loh852ZFtuZjKDF+iZgqaP5ssUDhe3ppBUhVEzmCdT6LfV8LKC0rzcXnsRO8VWlbVwUNcUKqXUYjFNebnZ4zjOa4CvAkHgFtd1b8qzjwN8CjDAE67rXu09/5fA//Z2+6zrut8pyaCVmkv+H/wzzbaNxiGZtH/c1/uZwjnsVdh+ADlxCwBSXQuNzTZ7WCLmwe32e13eipmsd+B0+rqhsjIVBBVIzrsU8+DdmEd+hdlxN5x0KrKyLf/OTV4D+xf2wLoT8+9TiPTplzsftePIM101g782cIrpo2ZszGZb04NCP2s4PATRoYKmj1Jbb4O7nOmjdanxe201JrKCzS1IRQXUN+n00UVAM4VKKbV4lCRT6DhOEPg6cBlwCvBmx3FOydpnM3ADcK7ruqcCf+s93wx8EngZ8FLgk47jTFGTXaky4QdwMw2sYsP2c6QaamrtH+hDc5MpNPERu36wdW3qyda1Mw9oi3396DDmsQeRsy9Atp4BL+ydWfXKvh5oXDb1FMx8TtwCq9ZgfvBdm7GbJEsIwDJvzdz4+MyKzPjqG1NZuJ2PQetaZPmqqY+JFNCSwv+5SQuMJRSy6xW7O22/wpraaYcnwaANDNODwkgVEqqwjyemwPbbrKBIatpuc4tOH10EdE2hUkotHqWaPvpSYI/ruvtc1x0FbgeuyNrnXcDXXdftBXBd169g8Wpgu+u6Pd627cBrSjRupY6bmSR7NzHVs+eY7RtXLH+KYFU1EgjmtgCYTUf9yqOpoFDa1sHRQyWpQGoe+RWMjiLnXYpsPgXGE/D8nuLPU2Dj+mwigpx3qb2+VdXImedOvnN9EwS9SRgtM1hPOHEerw9gfASe3Tn91FG8QK0yPHWhmbSfmwxVNZiuo/brmvrCxljXgBlMCwprU8dJ+prDnmNQ35QKGJtbNFO4CGimUCmlFo9SBYWrgfSUwiHvuXQnASc5jvOg4zi/8aabFnqsUguS2fs0yev+PH9Pv8F+CHj/Bb12D0Xx/rgXP+NT1zBpAHq8zGFv/H6BGbDrCuMjJfnj3uzYDqvXw4ZNNmsHM5tCWkTj+mzyRxdDKIS87EIkHJ58v0DATq2FmVUe9c9T12DX5O1+AhKJ6aeO+qqqpy4042UKpSprCm1VNRzz2mgUkCkEMqe4Dg9mBIXphWhMb9dEgRlgooF9RpsPVXZ0TaFSSi0eJVtTWIAQsBm4CFgDPOA4zrZCD3Yc5xrgGgDXdWlpaZnmiAIGFArNynkWG70uuSa7JtGHjzJoDHXDA0Syth+LDhE4cQuJ53ZRO9hLVZHXNH5oL31Aw6o2Klta6GlaBiPDNM/Bv81gXxfRUAUtW09DvCzY6JZt9AL1w/2Et5ya97jZ+FkZe2EvPc8/R93b30/18uWwfDldq9cTPLCXpiLObYyhs7+XqtbV1M1kTC0tJL50K4EVrQSmagsB9KxsY6y7k4YTTiKc57UKuS5Dq9oYHhqk8ukniEeqaTnnArsebxpdNXWEzDiNk5w/3v6893PTSmXaPj0NjYx5GeGG1Wsztk2mf/lKxp7bRUtLC90jUQLNLRP/JuPJMbqAWpNguL+H0PpNE2MaXruBodFRloUrCfjrYdHfLeUmHAoQH0+S3LEdOXGL7euplFKqLJUqKDwMpN8t1njPpTsE/NZ13TFgv+M4z2KDxMPYQDH92PuzX8B13ZuBm72Hpqvr+NertLS0MBvnWWz0uuSa7Jok99l2EwOHDjCUtT3Z34vZdhbsf47BZ3cxfPrLinpNc9RW4uwfHUO6uhivqobDB6b8tzHDg4W1G8gyvvcZWNlGd29aiwRvimH/008SWH9S3uNm42cl+WMXgiGGTzubqHeu5AknM/7YQxzr7LSZuQKYwQEYGyUWqSI+0zHVNMBw1H5MNWYvSzZQGUHyvFYh1yUZqgRg5MF7YOsZdPcXNjV4vKKS8b7eifObRALGRif6Ek783MTHMsY2Hqq06wmB/rHxvOPOGWO4CtPbQ1dXF+O9PUhLa+p1x+y0wsHDBzHHjpI85cWpbWG79rF7z9NIWjGemf68tLVNUvRHzanKoBBPJDHf+RpccgVy1Tvme0hKKaVmqFTTRx8BNjuOs9FxnErgTcCPsvb5IV7w5zhOC3Y66T7g58CrHMdp8grMvMp7TqkFz3S02y/6ezKfH43bqZf1jbBq9YwKtpistWFS1zBloZnkIztIfvDPMTOZ7nnkYKo3oUdq6qChaU57FZpkEvPwA/CilyJ1aVMTT9xqq2QWM+3W61E40+mjRVnRZquc+o3aZ2BiTd5IDNl2VuEHZk0fNT/8LslP/DVmfNw+nmRNoaRXZC2k+ijYn994DBOPw9BgxnESDkO4yrZcGR3NvBbawH5RCAcDjCYMBiA2NN/DUUopdRxKEhS6rpsA3osN5nbbp9ynHMf5tOM4l3u7/RzodhxnF3Af8GHXdbtd1+0BPoMNLB8BPu09p9TC1+kHhb2Zz/tr/+oa7JSrmVQgTa8+CrZX4fAQJjmed3dz/522hYUfqBbIxOPQ1ZFZedTXuhYzwz6LBek4DIP9OevpZPNWO7a9Rawr7Cu+R+FMyaVXEPjoP6YKq8yEHxRSQCuKdJFqGLHVR40xmEcftN/7/mft9jzVRzMeixTessMfY+8xiMcy1xQC1DdgXrAFgSRPUGh6dMZBOQuHhCSQkCAmOjzfw1FKKXUcSram0HXdu4C7sp77RNrXBvig95F97LeBb8/1GJWaTSaRsMEUYHKCQjsNU+rqMW3r4JFfYUZixTU6j0XtH/D+MXX1dvrf0GBGQAFexvLZp+zXvd0U1ZDh6CEwJidTCLYCqXnwHowxxbd5KIDfpF42bc3csLzVtjx4bjdcUFgxYuM3rm8qQVAYqYLVuderKP6/4dqNSBFjlqrqVDbw6GHbZgLb61A2bU1lESPZ1Ue9x1U1tpptIa9V12CzRH62OCcobIS9T9uv0wrNUNcAoQrNFJa5cMi+rzwarKBCg0KllCprpZo+qtTS091pM3MwRaawMdXm4WiRFUhjUdsXzl9TVzd5A3vz4HYQbz8/Y1Yg87xdF0meoJA1G+z0wXuyZ4PPkj27baCxMrPgsIjApq2YvbsLP5f/fTeUSZtTr7WFnH52ccdVVU+0pDA7H7HPrWjD7HzUfh0bhnDEtq/IOM6rOFro1FGYCFz96rqSLyj0pWUKRcRrS6GZwnJWGbRvBMUDlXY6t1JKqbKlQaFSc8WfOtq6NiconOhRWFcPrTbYKnpdYSyasS5s4g/ywb6M3cz4OOah++C0l9hpgcUGhb++F1atgVW5nWDkZRfCi16G+c9/I3n7tyadujpTZs8u2LQ1bxZSNp0Cx45i+gqcTd7XY6frHs+UzhKSSBWBG76IvPbPijswUg2xmJ06uvMxWL0eOe8SOLjfZkuzfm4m+FNGiylE5Ad9/vTnrKBwYl1kqCL1poWvefnM1reqBSMctH9CxIMVoJlCpZQqaxoUKjVH/CIzsvkU26stPWDyC8LUNsCKVtvsvMh1hSY2DOm95vysTXam8MnfQX8PgfMuhcZlmN7Cl+SaIwdh79O2aXy+wKwyTOA9f4dccjnmnh+T/MaNmCOHMB3tmI52Eu0HJ742He1FBY1moBc6j+ROHfVf23ve/P43qfNP0afR9HaXZOrobJL1m5DKyXsi5lVVBSZp34h4bhey7ayJQjXmyce8oDDPmkE/UCwmKKzLzBTmZBn9oLC5JefnR5o0U1juKgO2Wm08UJFaq6qUUqosLaQ+hUotLh3t9g/tNRvsH+lDA3ZKINgpnsEQVFXbP5ZXrS6+YEt2xsevzplVgTS5Y7vN0px+NvzyZ0VlCs2OuyEYtI3bJyGBIHLVO0kuX4W5/RaSTzw8sS3nlTZsJvDe/40UMoVzj12LJifmDwpZdwKEI5j/+Bcm2mdXVhK48VtIfZ7z93UfVzXQsuGtFTS//zWMJ5BtZ8Lq9dDUYoPCkZHUOtQ0Ul2DoYjG9WD7JlbX2IJAkLumsM4PCvNc92XLoa8HMz6eO5VVlYVw1P6uGW1cDu0dmGSy4BYxSimlFhYNCpWaI6azHVa0IQ1NNmjp600LCvugrn4ieyJt6zB+dchCxaKZU/Jq/OmjqaDQDPTCzkeQV16OhEJIUzOm/YXCxp9I2Kmjp5+dmgY4hcArXo85cQsmrU1EXV0dg4OD9sFQP+YH3yN544cJvO8TyDSFWMyeXXba4fpNebdLqILAdZ/D+AFJLGoDxF/fh7z6j3MP6OtGTtgy7fdR9vx+hA//ymYET9iCiCDbzrTtPVa05QZvkMoe5ts2lfpGW9AGcrKMUt9oA818QWHzcvtmSV+PDRBV2Qn3dQE1jK4+AQ7vtFVvC61cq5RSakHRoFCpudLRjpy4BRqa7eO0dYVmcCAzoGtdC4/uwMRHkHCksPPHhpEVrRMPJRi0f5SnTaE0v74PxseR8y61TzQug/6+wrIzf3gEBvvttNMCyfpNSFoQV9XSwnBaM3Kz+VSSX/sMyS98xE473XrGpOcye3bDhs02GzXZ623cjGzcPPF4/Lf3Y3Zsx7zqyozpimZs1FZlbWou+HspVxKptm9C7NmFnHkuErK/5mXbmZgHfg4H9yEveXnugf4f89WFZwoB+3N89LCtWhrKuqXUT54plKYWO86eYxoUlqmK7g7gBOKrvDd4YsNFBYVd0TEawkEqgppdVEqp+aa/iZWaA2ZszK6XWtGWWuuX3sB+sD8jKJS2tbadhJ9xKUS+tWF19ROZQjM2hrn/p3DiFqR1jd3euMxmZwb6mE5yx3ZobIZTX1L4mKYh6zcRuOFL0LSM5D99GjM8mHc/E4/DgX2Triec9PznXWqvYXZVUr8YTSka18+39CnF6U3vt5wBoZD9Ocv3h3ttg61Q21hk4OwHfvmqlvptKJavyt22zO9VqMVmylW4+wgAo/404SKKzYwnDX/zk/3csbt3+p2VUkrNOQ0KlZoLXUdt8LWyNfVHdnoF0qEBpDYtU9jmVyAtothMviqSdQ0TlU3NPT+Crg4Cr3/TxOaJfnfTrCs0vd3w5O+Ql79y1td7ybLlBP70bZAYS/W3y/b8c3Y9XLFB4VnnQbgKs2N75gYvKJQlFhTKtlRAL5EqOOm0nH0mttfVE/jITVOuH81nYmpxnmmnsmwFgetvQl56fu6By1Ygf/Fe5ISTi3o9tXBUdto3sUZD3uyGIoLCwfg4w2NJ9vWOzMXQlFJKFUmDQrXkmMTY3L+IX3l0RRtSUWkzM+lB4UB/qjAM2GbswSAcKSwoNGNjNqjKExQy2I/p68H8xIUzXoqclpbp84Oi3mmCwofuAZNEzr2koPEUbWWbfR2/bUf26+/ZZb84sbg1gBKpQs4+D/PogxivVx+A6Std4/p55xeRWb8pp+CObDvTfpGvJQUgJ26xP6/FmCIoBFt9N18bEKkMEzj/VUi+LKJa8IwxhDvt76t4hVcht4hehb0jCQDaB0dnfWxKKaWKp0GhWlJMRzvJ916FeWHP3L6OH+x4wQ8NzRgvKDRjoxCPZU4fDYVg1RobzHR3Tv8Cfvn3rGmAUtsAQwOYH3wXEmMEnLdnHuetqTPTZQof+RWcdFrGmsVZtWylDYI7JgkK9z4NrWtzm6EXQM67FOIjmEd22HONxjG/uR9ElkZQWFMLEkBOPytnk2w7235R25Czbca8oFCKaXqvCuI4zrcdx+l0HOfJSba/xXGcPziOs9NxnIccx5l8ke4sS/b1UDlk1y/HA/aNBFNEprA3ZoPCI4OjGGOm2VsppdRc06BQLS1HDsJ4whYxmUsd7VBTh/jVGOsbYcDLFE40rs/8wzzw5nfD0CDJz38Is/+5qc8f87JgkexMoV1TaB66B7nkcmRFW+b22gbbCmOKoNCMj8PRQ7ZIzhyRYBCWrcybKTTJJOzdXfTU0QknnAyta23BmYE+kl/+37DzUcR5O1JsEZUyJNW1BD70OeTVf5K7bWWbnc5Z5BTRKV9vmkyhOi63Aa+ZYvt+4ELXdbcBnwFuLsWgAMYPv0A4abN88aCXXY4VninsG7E9S0cShh4vQFRKKTV/NChUS4q/3m7StWwzPe9Y5pRU09GeyhIC0tCcmj7qVQeVrKBQTj6NwN99ASoqSX7pBszvfzP5C3qZQsk3fRSgvhF5nZNzmAQC0NAEUzWw7+6A8fGM8c+JlW3QcST3+SMH7dqkGQaFIoKcdwnse4bkZz4Ah/YTuPYjBC654jgHXD7kpFORcP6m97L5lMIr3BaiToPCueK67gPApP9ZXdd9yHVdf176b4A1JRkYkDj0PCGTJCgQF2/d8QwyhaBTSJVSaiHQoFAtLd50J1Pg2r3pGGNI/vh2Ot9yKWb3E6kNnUcys3SNTdDfY6dJTWQK8xTmaFtH4KP/AKs3kPzmjZjnduV/YT9TmFV91C+kIn/8l7kBo69p2dTTR71ALSfLOMtkRSscO5Izdcx4lUNnnCkE5JyLbUZ0PEHgQ5/P34JBzQ5/Sm7D4m/3scC9A/hpqV4scegFCEcIhwKMJrHrVIsJCkfSgsKBEqzzVkopNSXtU6iWlrRMoTEmo5ddsUxiDPPv/2x7AVZUkvz+zQQ+8VWbZevtspVHffVNMDpqG6z7Y5hkXZfUNxH44GdIfuKvSd5+M4GPfRkJZFUA9dcUZgd+p59N4P2fnLqNRGMzHJ68gX1qPeQcrSf0rWyD+Aj092S2inhhr10ruXzmry/1jQQ+8gVoal4aFUfnkTQvJ3DdZ4suCqRmj+M4F2ODwvOm2Oca4BoA13VpaWk5rtfsO3yA0JoNRCqCBEJhArV1VCbHaSjwvLFkF6sbIhwbitObCB73eBaKUCi0aL6X2aTXJT+9Lvnpdclvrq+LBoVqafEbuw8PwmCfDdbSFNTUHTDDQyS/eSM8sxO54mrqt55O/01/h/nlz5CTvbL/6Zm2Bu91BnpTgWn95MU+JFKF/MlfYm75MubBe5DzX5X5+rGY/SIrKJSKCjjtzCnHLo3LME/+fvIdOtptBUt/WuAckRVttnl5x5GMoNAc2AdrTziugB3IaGqv5pZsOX2+h7BkOY5zOnALcJnrupNOAXBd92ZSaw5NV1fXcb2uOfQ8ZtNWKgLQPxQlGa5ipLebsQLPe7Q/SkOlEKytYG9nP8c7noWipaVl0Xwvs0mvS356XfLT65LfTK5LW1vhs750+qhaUsxgn61CCTnrCs2h50m+1ymoCI357tdtMZR3fJDA699E+KXnwykvwvzo/2L2PQPYoh4+8YPC/l4Y6rdTG7Mbz2eRl14Am7ZifvDd3Kp+k1QfLUjTMojHMLFo3s12PeTq4w7KpuVVNk0vNmMSCTj0PLL+xLl9baUWAcdx1gH/A/y567rPlup1zUiMZFcHrFpDOCjEx5NQXVvU9NG+WILGqhBt9ZW0D+iaQqWUmm8aFKqlZXAA1mwAchvFm6d+B4kxzH13TXsa03EYTn0JgXMuAmxxk4DzThiJYf7fbXanjDWFfiuIHjuG2vppgy4RIfCma2yLiZ/cnrnRD+jCVdOONUfjNA3sO9vnrhVFumXLIRTKbEtx9JDtv7j2hLl/faUWOMdxvg/8GjjZcZxDjuO8w3Gcax3Hudbb5RPAMuAbjuM87jjOoyUZ2NFDAEjrGrumcNzYN6iK7FPYFAnSVlfJ0aFRxpPalkIppeaTTh9VZeV41wEy1I+cfLrtBXgkK1PoZQjN7x7CDL8bqZmifcHwELIuM5slq9chF70Wc+9PoK4hs9CLP011oM+uKcxTZCYfWX8ict6lmHt/grng1cgqr7hgbBgqw7a/YZGkcZmdttnbDa1rM7aZxBh0HwMv2J1LEghCy6rMTOGBvXabZgqVwnXdN0+z/Z3AO0s0nAnGCwpZtYbKbkM8kUSqagruUzg6nmR4NEljVYimSIhEEo4Nj7GqrnIOR62UUmoqmilUZSP5/ZtJ/tOnZ3y8rfw5YNs2tK7NyBQaY2DPbli70WYLH35g6pNFh+x0qSxy+dVQWwetWZXhq2sgVGGLqgz25/QonIq88a1QGcb86PupJ2PRaaefTmqqBvbHOsAkM7Occ2llG3SmtaU4sA8qw3PfDkMpNXP9ffb32YpWwsEAcT9TGCssKOz3ehQ2Rez0USiuLcXzvSP0aW9DpZSaVRoUqrJh2g/A7scx8fjMThAfgbFRqKtH2tZlrinsOAxDA8jFr4M1GzE7tk8+jsSYPVeeTKLU1BL44GcJvOU9mc+L2GIz/bbQTHaPwqlIfSNy9vmYnY/aNXeAiQ3nVh4tlD99tDdPUOhl7UoyfRRv3WXnEduwHi9TuHZjbrVVpdSCEXj1laz4j7uRUAXhkBBPJL2gMIpJjk97vN+jsKkqRFtdcUFhPJHkQz97gXf8cC9f+80RDvTN8H6glFIqgwaFqnzEorbdw/MzrKcw0R+wAdrW2rV63nP+1FHZtBU571I4sNdWwczHXzczyfRSWbvRBp3ZGpsx/b22V2IRQSGAbDsTRmKwx+tbGIvOOCiUyrDNcvbl9sQ2/vq+UmXqVrTZQL232waGB/cjup5QqQVPKioACAfT1hQC+JWRp+D3KGyMhGiMBKkKBXKKzQzGx/OuM+yOJhhLGk5sDvPA8wO87879fPLegzx0YICxcV2XqJRSM6VBoSofcfvHxqQN3afjBYBS25AK2vwppHt222mfq9Yg51wIoYrJs4XDXlCYZ/rolOobobvTBnS1ha0pnLDlDAiGMDsfs4+PZ/ooTN7AvrMdqmuRYsc3QxMZyc52OHbUBr7rNChUqlxU+pnCKu/3YQHFZvpi3vTRqiAiQlt9JYcHUw3sB+LjXHPHXu56tjfn2O6Y3e8tZyzn367cxFvOaOFgf5wv/Kqdd/xgD7f+rpOB+PTZSqWUUpk0KFTlw3sH2uydvmVEXn6PwvoGaLVBofGmkJo9u+HErYgIUlOHvPgczG9/iRnLM6XJCwqnLESThzQ028AHis8URqrgpFMxO73igrEoVM2g8qivsTnv9FHTeaS06/m81zId7ROZ2ewCPkqphctfUyg1fqZw+nWFfqawIWILZa2uq+RI2vTR+/b1Ex1L8kKeqaHdUXvssuoQ9eEgzmktfOuKE/nERWvYuqKKH+7u4efP5QaTSimlpqZBoSofI960pL3PFLRuJZsZ8qaP1tbboKiqGo4csFNIOw4jJ26d2FfOuxSiQ5jf/Tr3RBPTR+uKG0BDExg7vUkKrD6aTradBUcOYro6IBZFjiNTKI3L8k4fpaNE7Sh8jcugotJmCg/shWAQ8k29VUotSOFQIDNTOFxIpjBBfThIKGArSbfWV9A5NMbYeBJjDD/f0wdAVzS3mMxEUFhVMfFcMCCcubqWGy5YQ104OLGPUkqpwmlQqMqCSSbt9NHlq+w70Vk9BjP2PXaU8fe/GXNof+aGtDWFIgJt62ym0F9PuDkVFLLldFi2Im8VUjPT6aN+A3uAusbijsVbVwh2CunxFJoB28B+oA8zngquzWgcertKV3kUkEAAVrRiOo/YTGHbuom1SkqphS8cFMYNJCLe76MCM4VNkVQ7nba6SgxwZGiMJzujHB4YJRwUjg2P5RzbHR2jpiJAVUX+P1+aq0L0aGVSpZQqWsn6FDqO8xrgq0AQuMV13Zuytr8N+AfgsPfUP7uue4u3bRzY6T1/wHXdy0syaLVwxEcAkNNegrnvLsye3ciajXl3NXufhugwZt8zmfsMDtisVDhiz9W6FvPEw3bqaCgE6zdN7CqBgG2gfuxI9umnLTQzGWloYqIMwgwyhaxcDctXYR7/LYzGj29NYeMy23qivxeaW+xzx47aTGap20GsaIUjh2z11zPOLu1rK6WOS2XIZvtGIzVEABMdZrpOsr2xcRqqUhWGV3ttKY4MjPKrFwaoqQxw3rp6fvn8QE5v2u5Ygubqyf900aBQKaVmpiRBoeM4QeDrwKXAIeARx3F+5LpudsWQ/3Rd9715ThFzXfdFcz1OtYDFovbzmg0247ZnN1z02vz7+k3puzoynx/ss+0o/D8w2tbBju2YJx6G9ZuQiszGyVLfgNn3dO75hwft53fUg9kAACAASURBVOoig7KG5tTXRa4pBNvWQradhbn/LvvEcWQKJxrY93WngkKv8qiUOCiUFW020DUGdD2hUmUlHLQZu3hFFRGAAhrY940k2NKSWhPd6rWl2H0sxq8PDvKazU2sqKlgJGGb3NeGUwFkdzTBsurJZxM0V4W0TYVSSs1AqaaPvhTY47ruPtd1R4HbgStK9NpqMfAqjxKphk1bJ1pI5DPRlL6rM/P5wYGMaZvSutZ+0XEY2XRK7olqG2zbCq+H3oToMFTVFN9Lz58+GgjMOMsn284EfzzHVX3UC1DTKpAar0dhKaePAjYz6a+11MqjSpWVcMgLCkOVIDLt9FFjDL2xBE1VqfekayuDNISD3PlsL4kkvHpzIy1eNrArmjmFtDuaYFnV1JnC3pFE3nYWC9VQfJyOocL6NCql1Fwp1fTR1UBap3AOAS/Ls9+fOI5zAfAs8AHXdf1jIo7jPAokgJtc1/1h9oGO41wDXAPgui4tLS3HPehQKDQr51ls5uO6jPV00AM0rFxF4oyzGXrsIZrEEFy2PGffro52xoFgXzfL0sbZPTJMoLmFJu+58dNeRJe3rf4lLyOS9T1FV7UymEyyLBImUJ/K7PUnRhmtq8+4BoVcE9PUSKcIgYYmlq9YUdwF8M/xRxfR+c2bYDRO/YqVOWMuVDIU4BhQMxan2jvHQH8PI/WNLF+3fkbnzKeQ6zK6eSu9ACIsO+MsAsezVrJM6O+W/PS6lJ9w0Js+mhQ7e2GaTGEskWR03NAYyXxTra2+kt3HYpyyvIp1DWFiY/bNr2PDCTZ476eNJw19IwmWTTV9tDpE0ti2Fk1TBI8LyfeeOMYTR4f55uU6U0IpNX8W0m/MHwPfd1037jjOu4HvAK/wtq13Xfew4zgnAPc6jrPTdd296Qe7rnszcLP30HR1dXG8WlpamI3zLDbzcV3MUbu2byA+Bqtsdcruhx8kcPZ5mfuNjZI8apelJo4ezhjneG8P0tI68Zwx3h8xsSiDy1czlPU9JQP2v0f3C/uR1jWp8/R0Q6Q649wFX5O6BpLVtcd3/U7eBjsfZTAxnjPmQplkEoIhhg4dIOqdY/zAfli+alb/bQu5LsYvULGyjZ7hKAxHZ+31Fyr93ZLfTK9LW1uJs9tqQqU3fXR0PGlnL0wTFPZO9CjM/POjtc4Gha/ebGdz5MsU9o4kSBqmDgq98/ZkZSMXss7hMTqHEznrJ/MZHU9OXHOllJpNpfrNchhYm/Z4DamCMgC4rtvtuq6/EOAW4My0bYe9z/uA+4EXz+Vgy1Xy7jsY/9LH5nsYc2PECxSqqmHtRqgMw548TeyPHrYFVNZshMF+jN/GAmz10bQCL34FUlatydsiYuI5v2qpLzpUdJGZCU0tmVVIZ0C2nWW/mOkY8ArpNC3D7Hoc4xfO6WxHSj11FOxay0iV9idUqgyFvUIz8YSBmlrMNNNH+7wiMI2RzIDtjFXVbGgM8/J1ttVPU1WIUICMCqR+q4mWadYUAvSUUVuKvpFxEklDLJGcZr8Eb/mv53js8PRtP5RSqlilehvtEWCz4zgbscHgm4Cr03dwHKfVdV2/1OPlwG7v+SYg6mUQW4BzgS+WaNzl5YV98MxOzEgUiSyuKXgTwV2kCgmFYONJedcV+usJ5fSzbUuK7k5YvR4TH7EVO7MKvASuvhYm63norz8cygoKh4dsn8MZCLz1PRA6vpYLct4ltnH92uNbfydvfCvm1v9D8qaPELj2I7ZvYakrj2KD88D/+ii0rCz5ayuljs/EmsKElymcpk+h37g+O4t30cYGLtqY+v0cEKG5qiKjV2G3lzVsnmpNYXUqUzgXuqNjHBtOsGV51fQ7F6jfuyYDI+NUV0y+Vr19YJTRccPTXTHOXD3zNwWVUiqfkmQKXddNAO8Ffo4N9lzXdZ9yHOfTjuP47SX+xnGcpxzHeQL4G+Bt3vNbgUe95+/DrinMkyJSE4HTkUPzO5C5EEsrNAPIpq1wcD9mJGuqYftBCASQU71itX4F0sG0xvVpZN0JyIbN+V/TyxSageygcBAptnG9/3obNiNrNszo2IlzVFQSOOfiaacZTSfwsgsJvP9T0NdD8vMfsk/OR6YQkK1nIMtXzctrK6Vmzl9TGB9P2orM02QKe71grSkyfaGulupQxvTRVKZw8qCwMRJCgJ5Ybo/D2fDdx4/xyXsPzFohG2MM/SP2jcmB+CRvUHr8APnwgBalUUrNvpJNuHdd9y7grqznPpH29Q3ADXmOewjYNucDXAy8Cp2m/QCy8aR5Hsws84O/iH13VjadgjFJ2PsMnJqaTWyOHLCBzarV9nFXh+2ZNThgj6svomm8H0CmZQqNMXbNTLGN6xco2XoGgRu+SPKrfw/xEcS7bkopVYjUmkKDVNdg0tYUxhNJ7t8/wItaq1lZa9tO9I2MExQy2kxMZnlNBbuPpZYAdEcTVASEuimODQWEhkhwzjKFT3XGGEkYDvbH2dAUOe7zxRJJxrwAc/qg0Aa67YMaFCqlZl95rMJWhfEzhe0Hp96vHI3EIBRCKrypl5tPgVAI89TvkLSgkPaDsHqdnfpZGU5lCofyZwqnIqEKOx3KCygBOwV1PHFc6/kWGmldS+CjX4Jnn7R9IJVSqkAZawqraiE6jDGGBw8M8v/Ze+/oRtLzzPdXyAQRCDA3O7K7p2d6cpZmRpNHGsuSZVlWSZZs2XLa4yh7d70rr73WruVraZ3ta921vXJaJ7ksWbLyeHqCJmty7MxudjdzQiZyffePrwqBAEEAJJtssn7n8DQJoMBCEY2q53vf93n+5uUZZhcL3Lbbz399h1xwiqQLdHkc2JrodOjxOlhI5ynqArtNMTIKHSt2SYQ7HOsyUzi3mGfGmHE8NZ9ZE1FoVglhZVE4X1Ep1IVo6hhaWFhYNItlYbWVMEShmNyiotBTnuFQ3B647GrEGy+VbhP5PMxMouzYLS8auvsQhigUZvtoq6Hx/kC10UwpuH7riEKQFVTlpjtW3ZJqYWGxvSiF1xvtoyddPfy3h8/xu09N4HPbuXFHJy+MJUnmpOCJZgp0dTSX8drb6aSgy21AirJG84Qm4Q7HulQKj82Uq5an5jNr8pzma4PybOFymDOVuaIoCUQLCwuLtcIShVuJUqXw/MbuB6B//Z/R/+J31+4JM4uleUIT5eobYWoMMTslb5gek86jZih9T3/FTKFR7WtZFAbLghKk8yi0PVNoYWFhsZUwK4Wn5jL8ZuYgn7zxFxiP5fi5Wwf4/Qf38kPX9JDXBc+clwtq0YysFAq9SPF//AL6Ew8t+9ymy6g5S7eQLjR0HgU5PhFy29ZFFB6dXcTjsHFVXwenF9Irb9AErVQK5xYLpRlOa67QwsJirbFE4VYikwZFgfmZ6iiGDUAcfx3x1str93xLKoVQjmYQb8pqoTDaZpUdUhQqhigUQkAiCg5HzXOsiD+4pFJoOOt5O9t4FRYWFhZbC4dNQQGeOBfndKGDHx75Jn92u493HujCblM4EPaww+/i8bPyczSSNkLlJ87D+DnEv39FfkbXobfTyCpM5RFCVsfCDUxmRDaL/ulfJjxzlpgR87CWHJtNc3mPh8t6OjgXzcpsxlViikK70lz76OE+uThqiUILC4u1xhKFWwQhhBSFA0bI+kY7kC7MytmS9BoFkafrVAr7d0DfDsTrL8obJs6DYoN+4xj09MtjkkrISqG/q+X2SMUfhGTFTKEpCq1KoYWFhQWKovDBq7r52HW9/MWhJD9w4XE6cqmq++/ZF+CtmTTTyVy5UjhyQj5gehxGauOFoLpSmMgWyeuiofMosQUo5AlnYgiqWzNXSypXZDSS5Yo+Lwe7PRR0GI1kV95wBcx9HPS7GorCgi6IpAsc7PbgcdgYt8xmLCws1hhLFG4VcjkQOsqwdB0VkxvXQip0HRbm5A/mv6ulTqUQjBbSE28gslk5S9k3WDKjUczcu7lp2QJaJ6B+RXwBSMZLK9nCnCncQkYzFhYWFqvho9f28oEru+nwGR0Ui9WxFHftk5+9XzsRQRcQ6rDDmRNycc3dgXjqSN3n7XTZ8DhszKbypRbSRpVC4hEAQjm5kLeWZjMn5tII4HBvBwe75bloLeYKY5kCnS4bYa+jqpV0KZF0AYEUykMBl1UptLCwWHMsUbhVMOIo2DUs2yQ3cq4wEZMOnQCR2bV5zkwapcNbc7Ny9U2Qz8HJN+RrNlpHgXIY+ty0rPb5WpwnBNk+WiyWL3LMfy1RaGFhYVGN2Va/JKuw3+ficG8HD5+OAhDyOBBnjsOBK1BuvgPx4lO1mbPIKqOZVWjOCDacKYwZojAt/213rvDEXJovH52vuu3oTBqbApf1dNDjdRB029dkrjCaKRJ0y+dLZJffX9NYptvrYCjgYiK++iqlhYWFRSWWKNwqmDOEHZ3QP1Sar9sQFspCUCysnSisOw942ZXgciNeeU46jw7uLt9niEIxNw2JGEo7lULTmCYhL2ZIJcBmA3eLs4kWFhYWWx1DFIrF2gD7u/cFyRRkx0WQHEyNowwfQrn9fshmEC8+XfcpezudzKYKpYy+Ru6jwhCF4ZQUdO2Kwi8fXeBvXpnl5Ylk6bZjs4vsD8vWTUVRONDt4fRaVAqzRbo8dgJuO7EG7aOm82iP18GQ38VsqkC2sPqZRgsLCwsTSxRuFQxRqHg6UHbsho2MpagUgvNr1T66WL991OmCK65FPPc46HpVpVDxdsroiLlpY6aw9UqhUhKFxlzhYhI6/VZ0g4WFhcVSvPXbRwFu3+3HYZOfm6FZ2cmiDB+C/ZfDwBDi6fotpGalcH6xgE1BmtQsR0wu3gWS89iU9ttHT87J8+lfvjRDQRfki4KT8xmu6C2fgw52exiL50jnVyfMYpkCQY+dgMdBKqcva44zV6oUOtkRcCGASWuu0MLCYg2xROFWwawUejqkMJqbRmTXJkepVcS8IQo7vNUCsd3n04uQzSzrHFpqIQUpiCvp6Zezhtl0W6KwNIdoOpAuprZcRqGFhYXFmuDukJ0UdUShz23n5iEpGoNjJ6Qp2N6DKIqCcscDcPoYYqrWIK2300k0U2QqmSfocZSEZV1iCwDYF5OEPO1lFc4t5plPF7huwMtYPMdDp6KMLGTIFQWHe8sjDAe7O9AFnFlY3Xk2likS9DgIuGV2Y2KZauH8Yh6XXcHnsrEz4AKwzGYsLCzWFEsUbhWyZVFYEkZ1TrAXhcgcuD0wtAcRWYNKYcY46XpqZwoBlKtuNL6xwcBQ9Z09/XBuRH7fjig05hBFUopCkUpYcRQWFhYWdVAURX4+ppN17//otb18/IZeOs4eg6E9KMZCn/K2e8Bmq2s4Y7qNnpxLN3YeBUTcaPNfTBH2ticKTxhVwo9e28s1A17+6fVZnh+TBmOVlcIDYQ8Ap1chCou6IJEtEvTYCRqicDkH0rnFAj1eB4qisMMUhZbZjIWFxRrSlChUVfUTqqr2rPfOWLRPKZfQ3QHGXJ0Y3xizGbEwC+FelHBfy5VC/Rsa+t99rvrGyipoHZTuXhjaA70Dsp208r6eflllhFXOFBrto6mkFUdhYWFhsRwdnXUrhQC7gm7edygEZ0+i7D9Uul0JhuDqmxDPPVaTWdjbKY1lppL5hvOEQMlohnSKkMfelig8OZfBaVPYF/LwEzf0kcrrfPnYAjv8Lroqfn9Xh4Mer4NT8+2bzSSyRQQQdDvwG6IwtkyMxvxigW7DZMfjsNHtdVii0MLCYk1ptlJ4LzCqqurXVVX9kKqq7vXcKYs2qBROvQNgd2zcXOH8LIR6INwDC3MyoqJJxNFXEW+8VH2j6UpXx33UxPYjP4fth3+m9g7TgRTach9VnE75e0vto0kUq33UwsLCoj5eX12jmRKTYzJ3dvjyqpuVK2+Qoi66UHV7pdvoSpVCM5ICIOxsz2jmxFya/WEPTrvC3pCHdx7oQhdwuK92UfJgt2dVsRRmRmGXx07QI19bo/bR7orXvxliKXRRf/7RwsLi0qQpUahp2vuAPcC3gF8CplRV/byqqneu585ZtECFKFQcDjm4v1GxFJE5Wb0L98poClNQNUMiBolo9WpxhYnOcij7L0e54tra2ytFYTvtoyCzCs3XkEpacRQWFhYWy+HtlIZcyyDOHAcMk5kKFLP1f8nYQ6UQCjeIoxB6EeJRuSAJhOxG4H2x+UXJfFEwspDhUI+ndNtHrulhT5eb23bVdogc6O5gKplfVsithOk2WjlTWM+BtKgLFtKFKoE85HcxkcjVVFYvFtPJHOoXTq6qUmphYbG5aHqmUNO0eU3TPqdp2tuBu4CbgcdUVR1VVfXXVFW1rpQ3kiUtlsrgrjWvFIpUkuL//AT5U0eXf0w+J0/M4R6UcK+8sZUW0ngUCoXqnCuzUrjMTGFDqkRhG+2jAP4gIhGTFc90yhKFFhZt8vUTC/zB0xMbvRsW60mD9lGgHFrfv6P6duNnMT1edbPbYSvN2zWsFCYT0oF6cCcAYUVW0VqpFo5GpaHMoZ7yAmTQ4+BPvncfNw7Vfu6bc4Ujbc4VmmH1QY+91D5ab6Ywli1SFNWvfyjgIpXTG8ZYrCcn5jLkdcHZiJWXaGGxVWjJaEZV1ftUVf1r4HFgGvgY8CPA9cgqosVGkUmD04VilycWduw2HEjX8AP7xBswdpbcmy8v/xjTWCbUK9tHoWlRKAoFmQMIUhyarDBT2JCePvmv3SEvVtrBH5QzhelFEMIShRYWbfLWTJonz8WtfLUtjOLtrAmvr0SMHIfhQ7WxPl3d4HLD1HjNNj2dUgw1nCk0WkeVQRlLFNalUGtFFJ6ck9tc1tPcueZgtweHTeG5C4mmf0cl5vyg6ara6bIRrzNTaGYULm0fhY0zmxmPy2sLc98sLCwufVZo0Jeoqvp7wIeBGPB/gV/XNG284v7ngMgym1tcDLLV4e7Kjl2yrWRqDPbsX5NfIUaOAVCcnlz+QQtSFCrhHtk+CoiFOZpK9atsM41HYUCu+Ip0+6JQcbogGAaFtrMFFV8AMXq6LFitmUILi7bIFnR0Aeei2aYvvLczqqr+FfAeYEbTtKvq3H858NfADcCvaZr2exd5F2vxLl8pFItJmLyAckvt5Ilis0H/DsR0bSW5x+tkZCFb1T5Zg5FRiCEKQ8VFwN2SKDwxlyZsGMg0Q6fLzt37AjxyJsZHru0ttYA2SzRTxKaAzyXX54Nue91KoZlRWNU+WiEKr+xro4tmlVyISTE632YWpIWFxeaj2UqhB3i/pmlXapr2vyoFIYCmaXngpjXfO4vmyVSLQvPEKCbXbq5QGG2jxZnl27+EWRXs7pUXB+6O5ttHK6uDdSuFbZ74evvbnycECAQhGZfzhIBiuY9aWLRFxqgQnolsTIbqJcjfAA82uH8B+EVg48WgSagbclmKf/ZZxNjZ6vtGTgC184QmysBOmK5TKTRaQbsbiDVhZBQqZvtoTi7itRJgf2IuzaEeT0sLiO+7PEyuKPj2qdbXxWOZAkG3HZvx+/xuR9120HqVwh6vE6dN2cBKoSUKLSy2Gs0th8FngMXKG1RVDQEdmqZNAGiadnyN982iBUQmLQWYiTlLN7/68HgAkcvC+TPASpVC4/eFeuSJNdxTFoorUSEERTxari6WZgrbqyzYfuBHS+H2beELSsOc+Wn5s1UptLBoi0xBmmKcWbDmkJpB07QnVFXd2+D+GWBGVdXvvXh71RjlzgchmUA8+nX0l56Ba29B6ehEjJ6UraF2O+y7rP7G/TvgxacR+bx0fja479xThM/O4jqvwDKCcmml0J+J47A13z4azRSYSuZ518Gupl8rwO4uNzcMdvLNExHef0W4pW1j2WLJdRTkbOFsqrYdc36xgMOmVFUi7TaFQb+TiQ0IsC/qoiwK23B4tbCw2Jw0Kwq/Avw41S2iO4HPA7eu9U5ZtMGSSqHicsth/uj82jz/6CkpjAZ3UZyZxKbrst1nKQtz4A+W8wKNWIpmEImK6mBlK2kmDQ5H1UVCKygHD7e1XQmjylhqa7JmCi0s2iJrVQq3PIrLjfL9P4x44PsRj3xNfjldsPcAyq13o1xxLcpy8UL9QyB0mJ2Uc/EGe0dfYe+FEfRvprH//K/X3zYekQujvgA4HNgWk4Q85QD72VSev3xpmmimiN2m4FBkC+bHru/D47Bx0gitP9RGW/P7rgjzqUcv8J3ROB/u72t6u1imQNBTFnoBt53TdSIuKoPrKxkKuDgfa10UFnWBLsBpb2+kYiaVJ68LPA4bC9ZMoYXFlqFZUXhI07Q3Km/QNO0NY57BYjOQSde2SHaFEZG1EYVm66hy612Ir/y9zJMKddc+zgiuN1HCvYgLZ2seVxezUujuWNI+uth+6+gaoPgDCCgbIFiVQguLtjDbR0cjWQq6wGFr76LUonVUVf1p4KcBNE2jp6dnVc/ncDgaP0dPD/z4LyA+/vNNt2PmL7+SBcC/mMBjPLfIZZkZH0XxBxGvPU8wFcNZZ04+mlmkEO6hp7eXWV8At16gL9RBsqAwlnXy6w+NkC3qHO73UdAF+aLgW6eijEQL/M73HebCYhK7TeHWg0N4nK3NBt7X3c3fvT7PN07F+eht9qaPbSI/yu7uztLjB7qSJEbjdHd3Vx2zeH6CgWBHzfMO9yV4cWKCcHd3qQW1GX7/sRHOzqf40x+8pultKjmZkK26N+4K8vTZCP6uEG5H42O24vtlm2Idl/pYx6U+631cmhWFM6qqHtA07bR5g6qqB4A1KkNZrJpsGqV3oPq2UHdNEHC7iJHjMLgLZc9+KZDmpuuKQhbmSpbggKwUxqOIfK5cPVyOeFS6z/X0IZbOFLbZOromlCqFhii0KoUWFm2RLej4XDaSOZ2xWJa9Ic/KG1msCZqm/QXwF8aPYm6uuQ6O5ejp6WG1z7EU4ZYO0fFTx0geuFLeNnIcikX4gY/BFz5P5B/+AttP/0rNtsWZKfD5mZubQ/d4SS/MERgQvDKZ4Be/9Ab9Piefvm83u4Lu0jbPjyX4vacm+Il/fJkOp429XW6SsQjLpywuz/ceDPLHz07yzJk59nc2FxOxkMrhUQql4+jQs+SLggtTM3grhOlULM1lPR01xztgL5AvCk5emGpswrOE18YWuBDLMTM725KYNHnrgrz0uzzs5OmzcPLCNIP+xuf39Xi/bAWs41If67jUp53jsmPHjpUfZNCs0cxfAV9SVfU9qqoeVlX1vcAXke2jFpuBTBrc1RdYSlf3mrSPCl2HkWMoB64ozSqKuenaxwkBC7MooYpVDLNqGGniTRyPQqBLflXOF6Y3tlJYqsBOjYPLtbK4tbCwqEumILiiVy7wnLHyzSyWoHR4IRiqiqUQo3ItWrnyBpS7vwfx4tN1HUqJR1ACIfl9pw8WU4S9TjIFnesGO/ndB/dWCUKAW3b6+cw791AQcD6Wqwqtb5V37AkQ6nDw+4+N8AdPT/Cnz03yly9NM7dMe2W2oJMp6HS5K2cK5ffxTFlUCiFK7aNLGfDJc9F0ovkWTiEEE/E8uaIg0uY84Fg8R9BjZ7dxPC2zGQuLrUGzlcLPAnmkw9ku4AJSEP7BOu2XRavUq6Z1dcsqXaGA4mj2T12HyQvSYvzAFdBtzEvUEYUspiCbqW4fDfXIyuLCHPQ1Xq0QhihUAl1yddhkk1QKSaegqzUjge3G5747yaGeDu7f35pZw2bl5YkkXz8R4dfv3tnWivpm4MhIlBfHU3zyzqEN3Y+iLsjrgn0hD69PLXJmIcO9w6twBd4GqKr6T8DdQI+qqmPApwAngKZpf6aq6gDwIhAAdFVVfwk4rGlafIN2efX0D1UH2I+ehGAYJdQN73wf4tGvI779JZQf/YXq7WJROGyIwo5OSMR43+UhDoQ93LU3gH2ZVuX9YQ+/+649/M0rM6v63HLaFX70ul7+7WSME3NpskVBNF1AAD95Y3/N4yuD601MI5lYtsiAYXIdzxYp6KKu82q/T1YHp5I5ruxvbuE0limSNtq4JxN5uluoMJqMxXLsCrhKQtXKKrz0eH0qxee+O8Uff+8+PI6WIssttjBNKQVN03Tgd40vi02GEEKKsaXCKRSWYevxSJVQa/n5T8t8QuXAYRSnC1u4p26l0HQeVborfle3mVU4u3JWYTwqK5H+rtpIisDGiQzF6ZJzjtm0NO+xWJZnzifI5MWWEYUvjid5aSJFpqBXtXNdKuhC8M9vzDOTyhPPFlvOUVtLskV5Iep12tgbcltmM02gadoPrXD/FNL0bcugDAwhXn6m9LMYPQX7Dsr7AiGUO+5HPPHviPd+GMXMws1l5aJdUIpCxetDTI/T73PR71u5s6O308mv3LH6RZN7hoN88Jb9pfauzz4xxpOjcT5+fV+NKI1lzeD6WlGYqIilMKtw9cRbb6cTmwJTyeZFWaVb6WQix1VNikkTIQRj8Sy37w4QNkWh5UB6yXFiLs1UMs9sKl9TQbfYvjRdPlJV1QUcAnqgfH2vadqjTW7/IPDHgB34vKZpn11y/48hRae5RPinmqZ93rjvRwHTcuy3NE3722b3e1uQzUjxt0QUKl3dskoXmV+VKOT0USnKjJlFe98O8g1EIZXto+b3zcRSJGIyvyrQBbksIptBcXsgk0bpG2x//9cCf0CKQm/nxu7HJkYXglROJ11obp7mUmDauNhK5S5NUfj61CIzhsX9mYUM1w1u3PvXjKPwOGwMhzx8ZzSOLsQlW4G1WCf6d8hIi2QcbHaYGkd52z2lu5V3fQDx+LcRTz2M8n0fkTfGDGP0oNk+2lnKld1I7tob5NkLSV6fXuT6Jf/3ypXC8mVYqVKYKYsss/20Xvuow6bQ43W2LQpb2c4kli2SzOnsCrrwOu10OGwtZUFabA4ixvsvlimyy2rYsDBoShSqqnoH8C+AG9mmEgf8yDbS4Sa2twOfAx4AxoAXVFX9qqZpR5c89J81Tfv5JduGkS0zNwECeMnYtvWk0U+egAAAIABJREFU2K1K1lhxr9c+CiuazehPPIR45VlsH/8llDoVOXH6GBw4XHJDs/cPkn/j5drHmdETle2jTpdsv1whlkLoRUjEyzOFIKuFvQOG++gGto+CfA1z01alsAHpvI4A0sbF/1Zg2hBU6by+wXvSHkdGonQ4bKQLOmciGysKzTgKt8PGcNjDt05FmU7mVzSouNRRVfU/Ao9qmvaqqqpvAzSgCHxE07RnN3bvNh9K/065mDk9ATk5d6rsPVi+v7sXdu1DnHyrvJHRWVKaKfT6IJ1CLBeddJG4caiTTqeN75yN1YjCqCH8uiorhcb38SYrhQADPifTyeZjKSYTeewK9HQ6mWwj43DMiMAYCriM/XIwZ4nCS46oUd2tXICwsGj20/IPgd/RNC0MJIx/Pw38f01ufwtwWtO0M5qm5YAvAO9rctt3AQ9rmrZgCMGHgQeb3HZ7kJH5SrXto1IUipXMZo6/Dm++jP6ZX0FMXqi6S0TnYW5amswY2Pt2QGQeUVjyYbIwC3ZHbatnuHflAPtkQuZTGTOFQLmFdKNnCqE0V6hYcRTLkszJC5nMJSqgliKEYMZYSV+8BF9TIlvkuQtJ7h0O0Ot1cGZhY9s1zTgKj0Nhf1gaemz0Pl0kfhkwc3k+g5zF/y3gjzZsjzYzA7KNU0yNy9ZRgL0Hqh6iHDwMZ0+Uz0GlSqFx7vD6ZPdMZvFi7PGyuOw2btvt59kLydKiiEm9SmGHw4bDplSJwrnFAnYFgsu0fvf7Wq8U9vuc7Ay42hOFcSnUzZbDsNfBQnrjZwrHYpZxVSuYixKx7Nbp7LFYPc22j16GbP2s5LPIE93vNbH9ELKqaDJG/dD7D6iqeidwEvhlTdMuLLNtTfP/WmcwwaWTk5KPzbMABHr7S9lOAKK7mxmHk47sIv4GryOiFymEeiCfQ/yvTxL85GdwXXUDAJkTrxMDQje9HafxHNkdO0HohEQBR085BiOWipPv6aOnrzq8Nzq4k8LYaMNjmU/F5GsY2o19YEhmVVHEHQoxk83g7e7Bt4F/i1hPHxmgo6e37rG8VN4r68mCkO1aOaGUjsWlfFwWUjmyRVn1dHp99PSE1uy5L8ZxeezVCfK64Adv2kuieJ7RhfSG/i0mc9L7pC8c4vqdQey2c0xkbFX7dCm/XxoQ1DQtpqqqH7gWuF/TtKKqqr+/0Tu2KenpB7sdpseky2jfIMqSDg3lwBWIR74G50dg+BCiJAoNIzAzNiiV3PBc2bv2BXh4JMZ3x5LcuTdQuj2WKeC2K1UmH4qiEHTbq0ThhViWnk7nskY5Az6XNI/J63Q4V17nn0zkGPS7GPC7ODqTRgjRdI4kyEqh266UjG96vA5en9pY8f3qZIpPPXqB333XHi7r2eAF5EuESNpsH7Uqhafm0wwFXJfkiMha06wojCHbRqPApKqqh5EZhWv5afs14J80TcuqqvofgL8F7m1247XOYIJLJydFTE0CkMjlSS7d32CI9MQY2Qavo5iIQ+8Ato9/AvEnv0nkf3yi3HqaToHLTdQfRjGeI2DEUkROHUdxli28i5PjEAzXHDO904+YnWZ2dnbZk484JxfSE4oNjAXV+NgFlMExABaLgswG/i10p1wVTSv2usfyUnmvrCdj0ykAUpl86VhcysflxFy69P3UXIS5JrPHmmG9j4sQgn97fZz9YTdhJcNQp40nR9JcmJxp6sJxPZiel++P7GKCeLTI7qCLt8YjzM2VTyPtHpdWcpg2gAuqqt4GXAk8YQjCALKF1GIJit0OvQOIqXEYPS2rgks5IG8Tp4/KOfR4BBSbnP3GMJoB6Yi9wVzZ56Xb6+CJ0dgSUVisqhKaBDz2UhUxmS3y0kSK7zm4vHGX6UA6ncytmPsphJDmMn1e+n1O0gWdWLZIV539WI6xeI6dQVdpFjjc4SSSLlDUxbLCdb15bUr+nc/HspYobBJTDMYy2/tjKFvQ+eS/n+OHrunlB6+sk729zWj26uBfgXcb3/8V8BjwEjKrsBnGkVEWJjspG8oAoGnavKZpZv3/88CNzW677Sm1j9ZxEQt1I1YKsDfaM5Wefmyf/F8o970X5bKr5Ne1t6J86CeqIi3shulLjQPpwmzJDa6KcK80aWlwghaJmPzG31U6sROPltt/OjYwpxDKsRTWTOGypIwWy0zh0mu1rMd0RUvWpdY+OrKQ5WwkW3KBHQ65EcDoBjp+lttHbcY+eTizkJHuyVubX0GeK38NOXYB8B7g+Q3bo81O/xCcPibzbfcdrLlb6QpL4XjKsCWIRcAfQLEZK/1mdXBx481mbIrCXXsDvDyRIl5RlYlmi1XOoyaBikrhU+fjFHTB3fuWdwIZ8JuicOUWzkimSKYgGPS7SrO8rbaQjsWyDAXKbpXdXgdFsbFtiEdn5DXQVAt5jduZbEEvna+3e/toJF2goFMaFdnuNBtJ8UsV3/+eqqrPIY1mHmry97wAHFRVdR9S0H0Y+EjlA1RVHdQ0bdL48fuAY8b3DwG/raqq2bv1TuBXm/y92wJhCqc6c3dKVzfi/JnGT5BJoxjbKl4fygd/vOHDbd19sr2nQhSKYhGi9V1Ole5eI6twttzWsxRzfjDQheJwypN6Irr8vOTFxhSqlvvosqSMmcJ0QW+5JWkzUmnecKmJwiMjUVx2pVSZMGf4RiIZrujbmAWWTMloRr4vhsNuHjkTYyFdaCsr7VJB07RvAktLmf9ifFnUQRkYQrwmNXOlyUzVYw5eiXj9eYQQMuM2WNHe3Wl8Tm8CUQhw194A/3p0gafOJ3j3ZXI/Y5n6gfQBt52ZlFy8eexMnF1BF/vDy0cGmAH2zcwVTsblZ9qOgIu+Tvl/bjKR54omzckzBZ3ZxQLvDJTNobo7ylmF4Y7W8pBTuSKf++4UvZ1OPn5D38ob1CFb0Dm9IK8TmhHGFuV5QqBqoWI7EjUqpQtWrArQhCg0nENPIgNxswCapj3Vyi/RNK2gqurPIwWeHfgrTdPeUlX1N4EXNU37KvCLqqp+H1AAFoAfM7ZdUFX100hhCfCbmqatUPraZmQbCKeubnj9hcYX6dnWjFwUu12Kv8pKYWQOdB3CdeaBzFiKuWnYta/+k8aj4HCURVegCxGPoqSl4FU2WBQq/i4EoCwnajcpf/vKDAM+F+9q0H60VqRy8qJfF5AritLF/6XKdDKP320nkS3WdR99dTLFt09F+S/v2LGpYhWyBZ0nRuO8fZcfn0tWIsIdDoJuO2cWqs0YHjsT482ZRX7hbesf+ZKtiKQA2B8yzWayW1oUmuMWmqZNq6rqQ1YOzexf6yq2Hv2GbYDNBrv213/MgSvgmUdgakw6bFeKQqNSKFLJlfNxLwJ7Qx72BN1882SEG3d00m/MAZqLNZUEPA7i2SKTiRzH59J87LrehgtsPpeNTqetKQdSM45ih99JuENmHLZSKRw3ROXOYIUoNP7vLiwWoIXuu6lEjk8/PsZYPEeow9G2KDw9n6Ggg9OmMNmCC+t2xhRCbrtS+n67EjFEsSUKJSuKQmP+oQh4gLbtnYzV0m8uue03Kr7/VZapAGqa9lfItlWLejSqpoXC0tY7nVp+4D6TBnfjWYQaevqr2kfFK88BMuC+hqG90OFFvPwsyvVvq/988Sj4u8onv4ARYJ9t0Bp7MTl0Fcq7Vbjsqo3djxY5MhLjYLfnoohC030U5Iqy27FxVvBrwXQqz4DPSb4oSOVrT5yvTqZ49kJi08UqPHshQSqvc//+csuZoigMhz1VgfG6EPzj63NEM4WLIgpL7aN2+b7YG/Lw9l1+vK5L+33SBP8EqMA00pjtEJAB/hz4kQ3cr02L0j8ku0t27EFx16+SKQevRIBsIY1HUYb2lO/cRO2jJh+5toc/fGaCn/vaWd5/OEwsU6jrKBpw20nldI6MxFCQRjWNUBSlrgPpyEKGaLrAjUPl8/5EIofDBj1eaVzT2+lsqeXSdPjcuaR9FFoLsH9rZpHPPDGOEILbd/t5+nyCeLZYymlshbdm5cLxzTt9vDm9sYY3lwpmHMXuLve2r66ax8IShZJma/1/BGiqqv420v2zNASiadoKvYkW644pCuudPE3DmMhCXVEodF3mHLZYiVN6+hGvflc+hxCIpx6GfZehDO2ufazbjXLznYjnHkX80E+j1GnBFPFoVZSFEuhCXDgL6c3RPqq43Cjv/+EN3YdWSed14kbQ8MUgVSEK03mdYIvrDJuNmWSeA90e5hcLddtHTaE4spDZVKLwyEiMAZ+Tq/qrF1KGQ26+cixFvqjjtNt4Y7ocbG/etp5U5hQCdDhtfPLOGiPprcheTdNOqKqqAD8AHAbSlGMqLJZixFIodeYJS/TvkLPep96SC4jBioUvt0eOOLQpCkU+D7lMjevpanjbLj+fe+8wf/vKLNqbMiaqntGMKRQfOhXhmgEvPU1U0ft9Li4siWT48xemOR/N8n9/8AAu4//2ZCJHv89VMoQZ9DkbVtdyRZ1/fG2OTpeNnUE3b82ksSkw6C/vU9Bjx66U8xRX4nwsy288cp6+Thf//e6dTKfyPH0+wblohqv7Wx/PODqTZnfQxcGwh2fOJ1jMFy0XyRUwq4N7utycns9sqEnQRlOK5shsrFnSZqHZq4A/RQbPPwacAk4bX6fWab8sWiGTBpe7PGRfgVIKsF8mq3C54PuV6O6DRAyRzcDZkzBxHuWOB5Z9uHLHA5DLIZ5/ov4DlohCs1IoNstM4SWI2U5UKdbWk0rxeambzRR1wWwqT3+nE6/TVrd91Hy9mylrbzKR443pRe7bH6xpaR0OeygKOBeV74sjp2Ol+1IXYeEgU9CxK+C0b7uTbsaIo7gFOK9p2hyy6+YSXzZZR/xBlHd/EOWu5SOJFUWBg4cRb7wExUI5jsK8z+uDVHvuo+LrX0D/zU+suQlSj9fJf7p9B7/9wG5u2+3nxqFaEWQG2CdyOvc0MJipRAbY59GN/Y1lCpycS5Mu6Lw6WT4GE4k8OyoE3aDfxVSD9tFnzif48rEF/v61OT77xDgPnY4y6HdVLSDZFIVQh4P5xeqKU75Y/9j9+6kooPCZB3azI+BiT5dczD4Xbb0RragLjs+mOdznLRnuWGYzK2O2TO7pkgZkiW1sNmMKZF1Uz1puV5o1mtny/T2XNI0qfRUB9nUvxdoVXUYsBXMzskrocqPc/I7lH7/3AAztkY+9+3tq70/EUHbuLf/sD8qW16Rx4brR7aOXINNGFehiicKqSuElLgrnFwsUhVyB73Da6lcKjdd7JrJ5QpMfGYlhU+C+4dqLyVJgfCTDgM/JsxcShDx2IpkiyXyRrhZNIlolUxRVmWzbiH8EHkWas/2pcdsNWJXCZVEUBeX9K3fWKgcOI15+Vv4QWJIj6vW1XykcOQ4Lc5BKgK9x+2Y7XNnn5cplDJ/MFkqPQ+Ftu5qrVPb7nOR1QcQwbXppIoUA7IoUdrfs9KMbcRTXDpR/76DfRSKnk8gW8ddp3Xz6fIJur4M/fc8+xuM5LsRyDAVquyK6vc6q9tHRSIb//O1z/NrdO7l+sCx880XBd0bj3LLTV/q8CXns+N32tkThaDRLuqBzuLejwnAnx3CdWU2LMtF0Ab/bXjIGimXX//N/sxKpeN9uddOzZtiWZ+gtR6aBUUyXsXoaWaZSWGo9bb19FEBMnEO88CTKTXegNIiNUBRFVgvPnUaMVV8LCSGk0+jSSiHAzJT816oUtoxpsXyx2keTOR2XUQWqV1m7lJhOydXzfp+TzmVEYWWlcDPEKhR1waNnYlw/2Fn3xNbvc9LhsHFmIcN3RuPkdcH3HpIX0hejUpjdAnOm7aBp2i8j4yh+RtM0UxTqwC9v3F5tDSozDJXgkrlpbyeijZxCIQSMjcofZiYbPnY9CLrlxfnbd/mbzhQdMNrXzSrZC+NJwh0O7toX4PmxJPmiYCFdIFcU7KhodS9V1+q0kCZzRV6eSHH7bj9ep52D3R3cOxzkUJ0cwG6vQxrNGBw5EyOvC77w+lzVZ+OLE0ni2WLVopWiKOzpcpc6GFrh6IycITxs5C7K17L1K4Xj8dyqqlrRTIEuj70UibKdA+yjmSKdxly7NVfYZKVQVdUnqZgjrETTtDvXdI8sWkY0EIWK0wU+//Lto4YoVFqtxPUaovChL8tIiwato6V9edvdiC/9DeKpIygf/qnyHYspKBRqZwoBMTsJDgeKc3uv3rSDOUCe1wW5ol6aK1kvUvkiPV4HE4n8Jd8+ah67fp+TDqedhXTtKrZZKYxli5tihfGVyRTz6QI/dVN/3fttisJw2M2ZSIYTc2mGQ25jhmfuolSTMwUdzyXuSNsumqb9u6qqu1VVfTswrmnaixu9T1uCXcNyfjCbqVMp7IRUG5XC6IKsEAJidgpl+NAa7GjzDPqdvG2Xj++/Irzygw0GfGVxd1lPB69MpLhzb4Bbdvp49Eyc16dSpbbtyvnnclZhnoPd1dcQz48lKeiCO/asXCnt7nDwyoQU4EVd8NRoHK/TxvG5NEdn0lxpzDc/eiZGqMNRVT0E2BN08eiZeMtRRm/NpOnrdNBrxGv43fZN3T5qtrte2b+6zqdPPXKeqwe8fOLtS5NumiOSLhLyOEoLENs5wD6aKTAc8vDG9GLVwsZ2pdmrxM8Df1nx9Q1gADiyTvtl0QqNKoUAXQ0C7BtkHDbE3wUuN5w7Le3DD1yx4iaKL4By7a2I5x6Xg/wmFRmFJczvpyes1tE2MdtH4eJUC1M5vWSKcMlXCpN5FOQMkLdB++i+kJyHGdkEc4VHRqIE3XZuGlo+NmU45OHUfIYzRrC9uUJ6Md4f27VSqKrqoKqq30HO4P8rcFpV1e+oqtreFZ1FCcVuB1O0dVWLQqXd9lGzSggbUil02m386p072RtqvgWyxyvjJaaSed6aWSRd0Ll5yMe1A168ThvPXEiUKmiVlcL+UlZhbZXuqXNx+jqdXNa98n6EvQ7SBZ3FfJE3pheJZIr89E39BD12/uUtuSC9kMrx4niSe/YFasw89nR5SBf0kvFVMwghODq7yBW95esDOVu5eWMpnjwX578dOb+qOfR4psDsYoELsfZfp6wUOsqVwuz2FENCCKLpAnu73NgUq1IIzc8U/u3S21RV/RLw18BvrvVOWbRIJl2d0bSUrm65+lmPNo1mFEWRZjOTF1Buv7/p1T3ljgcQLz2NePW58gyiIQqVeqIwMid/j0XLmMJGIAVMq8HCrZLMFenplL8jU9j4dsrVMJPM0+114LQrdY1mhBCk8jp39XkZjWQ5E8lyy861cypslWimwPNjSd5zKNTQyGU47EEXMtPrrr0B8rr8O12cSuG2nSn838BrwLs1TUupqtoJ/DbwZ8D3beiebQGUG29HJGK1IxCd7YlCYYpCbyfMXnxR2A5Ou0KP18F0Ms9iPonLrnDNgBen3cYtQz6+eyGB12nDaVNKn9EgnYC7vY4aURjPFnl1MsX7rgg3dW4vB9gX+M5oDK/Txu17/MwvFvi712YZWchwNplFF3BvnXnnSrOZfl9zTs6TiTyxTJHDfeW/+4DPyan5jV+gWw5TDJ6cT7c99zhqzF42MghaiWimQFeHHZ/LjsL2rRSmCzrZoiDsdRD0OCxRSPORFPUYB65Zqx2xWAWZNEr/8ovOSqgbcaF+csiq3D17+mF6HOW2e5vf5vC1EO6RhjOGKBRmpdBfcbLwG6JQiFKl8OHTUWKZIj94VQsJuZcQX3xzHr/bXjdT8ItvzRN023ngQHN5g0IIppN5dgRcjMdzK86MnY9l+aNnJilUOMZ93xUh7t/f3O/LF3VyRVGuFK6iffTYzCJ//uI0uvkUCnzo6m5u3732hg/LMZ3Kl2ZUTKMZXYiSo2e6oKML6PE6GPS71syB9IWxJH//2izmGI7NBj92fR/XDTa2an/8bIyigPtXeH8MG5XNt+/243PbyRXlQU7WEYVPjsblKn/FvvzMLQM1M0XpvM4fPjPBR67paVjdyBR0Ol3b0ir+DmBQ07Q8gCEM/wvyHGqxSmx3PQj1XEq9PlhMtdySyPgohHugdxCxAZXCdun3uZhK5jg+V+TaAW+pKn/bbj+Pj8Z5/Gycfp+zxpV40O9icknL5XMXEhQFTbWOAqXP/alEnmfPJ7lttx+X3cb3XNbFl47O88W35plKFbms28OuYG101u4uKQTPRZtfXDs6W54nrDwGT59PrFm0QMvvnRU4Z1T3Ts9noEHaSsPnMERhIqeTzBXxtfiZms7rZAqCkMeB3aYQcNu3rSg0X3eXx0G4w1FlOrNdaWrZVlXVH1/y9fPIFtLn1nf3LJoiu1L7aFjGOxTqvOFXIQpt978X5cM/jdKoSrkExWZHue1+OPYaYn5G3piobR9V3O7yyq+xb0+dT/DY2RhblW+fivDU+Xjd+x47E+Op84mmnyuRLZIp6Ow3LtLrXfRXcnw2zchChp5OBzsCTuLZAkdGmj/Wpujs8jiwKatrH/3S0QVmUnl2BJzsCEir9ecvXNwQ6ulkWRR6nTYE1TEb5uv1uezsD7vXTBQ+PhpjtuK1zy8W+NJby8wDGwghODIS41CPh911Lrgq2d3l5gcOh/nQ1XJhxWW34bIrdRcNnh9PGgsLcl9mknm+fLR2X548F+e7Y0nenGkcHJ3dvjOFEWQ2YSWHgOgG7Mv2wesDXS+f45pEjI3C0F6U3gGYnVqffVsH+n1ORhYyTCfzVS3k1w124nHYiGeL7KjjHFovq/Cpc3EG/c7SItJKhI0A+2+fipAu6Ny1T4rJTpedd18W4pnzCc7ML9atEgJ4nXb6Op2cb8Fs5q2ZNH63nV2ByhlJJ7qA2RbaUJfjxFyaj37xlBRwa4Qp6E6v4nxR6dLazvykaVBjuo0GPHbim7h9NF/UV1UVbYQpAkMdUhRalcLmZwp/ZMnXg8AzwEfWab8sWqGJmUKEgHik9r6s6T7aeiuDcvh6bPe8u/Xtbr8PAPH0I/KGeBQUmzTEqSRgnEAMV9N0Xi8FYG81CrpgPl1YVkylCzrpfPOreeY84b6wPKmv1B5oisZfuWOIT965k9v2BDgbkaG2zZA09s3nstHhsLVtNLOQLvDSRJIHD3TxyTt38sk7d7Kny83CRXRHyxd1FtIF+jvlxYYZhFz5tzGPV6fLxnDIw+xigfgaZD2dWchw9YC39NrfeyjE69OLDU+KJ+czXIjlmqrq2hSFH72+j52B8sVep9NGqs57K54tsivoKu3LAwe6eH4sWeN6d2REapuVqtGZgsCzzmZHm5TfAY6oqvpZVVV/RlXVzwIPG7dbrBdeo7reQgupKORhakzGI/UNGlm5jRc7NgsDPifmx+7NFaLQ7bBxs5GHWDlPaDLodxHLFFk0PgOimQJvTC9yx+5A01UyczThxYkUoQ4HV1VU7957eQiXXcFlV3jH3uUrj3u6XE3HUggheG0qxZV9HVX7uJYOpE+ei5PK6Xz+pek1cZeOZ4tE0gW8Thvno9m2r2XORbMEjfiQeq6xKxE1hE+XMU8Y9Dg2daXw6yci/OI3zq7LtV9JIHtkPIdlNNP8TOE9670jFu0hdL1xTiFG+yjIWIpwb/WdmTQoSluisF2Unn64/BrEM48g3vMhKQr9ARTbkjaIQBfMTqEYry1T0MksE4h7qTObyqOL5UPfMwW9pdgA0z3TzKZbyUgkldOxKZQqOcMhN98oCCaTuSoB0Wh7kJUzzypE4aNnYugC7qsQOKEOOxPxi2ceMJOSJ4a+ikohwGJex2xcrny9w2H5vj2zkFmxzbMRi/kiE4l8VWD1PcNB/vH1OR45E+Oj1/bW3e7h01E8DoU79rQ309jpstd9fySy0ozA5L79Qb5ybIHHz8b4/ivkkTgfy3JiTq56r1SN3q5GM5qm/R9VVUeQi6jXABPG93dt6I5tcZROnzzvpZLNz6VPjUGxCDv3otjtcvvZadi1b/12dI0wZ/GGQ+4aJ+Tbdvt58lyCQX+tQ7J521PnEoQ7HLw2lUIXtPR54nbY8LtsJHI679jjr2rd7PI4+LHr+3B6Ohq2Ou7p8vDyxDz5omg4Fw1wPpZjfrHAh6+uNtWqzCqE9j+LAV6eSOF12jg2m+bJcwnubCBom+FcVH5OvmNPgIdORxmNZuvGezRCF4LzsSx37AlwZCTWZqWw3DIJEHTbS3OKm5HRSJZsUY7D7O5qrnLdLJG0PBYhj4Ow10EsW2zq/beVabZ99GOqql6z5LZrVVVdOV3WYn3JGW0IjXIGu4xL2XpmM5k0uD1r2jffDModD8D8DBx/Tc4UBupUOczbKkThVq0UmiIuU6dSKIQgk9dbask0n2/YaB+tVwmqJGXMJpjvg1LQ+UJzJ4tUqXJmx1PHmKUZhBA8MhLlcG9HVUByyHNxe/1N97r+OqLQJFnxeocrQuFXw9mIPNaVBgS9nU6uH+zkkTOxulXbdF7nyXMJbt8dKFU0W6XTZa9bSV4aaL076OZQj4eHT8dKK+dHTkdx2Ixq44qVwm3bPoqmaY9qmvaTmqa9W9O0nwSeQmYXWqwXXkMwtFIpNExmlJ17oXdA3niJzBWasRQ376x1H755yId6VTdv31Ur9MyW8899d4pPPz7GV49H2NvlLpm/NIspRO/aW9si+r2HQnzkxp0Nt9/T5aYoYDy+8jnnpXH5N71hR7XwC3c4cNiU0vmvXSYTOcbjOT58dQ/7Qm7+9pWZVV97mFXQ+/bL49NOW+pMMk+mIDjU00GXx17T9tsMkUy5ZRIg6LFv6pzCcaNLpp3XuhLRTAGbIqNMzGr3avIftwLNLtt+Griw5LYLwG+t7e5YtEwzM4GGKBT1sgpXaj1dJ5Tr3wZeH+KpI7JSWEcUKktEYTovzUyabWm8lDCtuOsZtOR1QVFQNxZhOaaTeQJuO363fdmZsUqSuXKAK8CuoBuHTWl6Vi5Zqpy13z56dCbNRCJfY6YT7nCQyOnkixdnQaAyoxDKorBS6JoiyucolqszAAAgAElEQVSyEXDb6fU6Vj1XaG6/1JXu/gNB5hcLvDpZG8T99Pk4mYLOA/vrz+o0g89lq1spjGeLBNzVQvP+/V2MxXOcmMuQLwoeOxvn5iE/PV5nw0qhLgTZotiWlcIGbE+FfLFoQxQyNgoOh4xZ6h0EuGTMZvaHPXzgcJgHD9bO+DvtNj56bS9BT21z2M6gm99/cC+/ff9ufudde/jD79nL//PA7pYXiocCLvYE3ewPt1fNqXQgXYmXJlPs7XKXDG5M7DaFvk5njXFOq7xsZC7estPHT93Yz9xigS8fW8bBvUnORbP4XTYu6/YQdNtr5gqLuuDoCnPZ5rHZ0+VmwOdqq002ki6gQOmzPehxkMzpFNbguuq5Cwn+w7+NlFqRV4sQgglDFK5H/mQ0UyDgtmO3KSVRuN3nCps9QweApQ4YMaA5a0KLthHZDPqf/w5i9FT9BzQjCn1+cDhl+2i97TdCFDpdMsz+lWdli6i/zkWt6UBquI+aQiN7kcTBxaRUKawjpszqoXS8bO6Du9I90+eyr9jal8rpVa09DpvCni43I01Wv9aiUvjwSJQOh43bdlevZpsD8Warx3ozk8rjqDhJdJQqheXfnzJeX6dRnRsOezgTWV0LzplIpjTbUMktQ34CbjsP1zH+OTISYyjg4vLe9v8P16sUZgvSoW6pKLxjjx+PQ+HhkSgvjCeIZ4s8sD9Ip8tWOib1yBlt39s0kmI5tt7q1maiU4pC0UKAvRgbhcFdKHY7SodXOmJfIrEUdpvCx67vayt66EC3hyv7vRzq6WA47GnZ0RLgZ28d4NP372q762iH34Vdka2hjVjMFzk2s1hTJTQZ9DefVZjMFfmXN+dqqoAvTSQZ9DsZ9Lu4st/Lbbv9/Otb88wtti9MzkVz7OlyoygKB7o9Ndm23zgZ4VcfPt8w89YUhbuCLgb8zrr5kisRyxQJeOylFl9zPnEtZuJfmkgylczXXcBsh0S2WFrQXo/8yWimWGqjLYnCbT5X2Oynx1HgA4BWcdv7gWNrvkcWVYhvfwnx4lOwYzfK3joexoYoVBrNFCqKdCCtUykUmXTj1tN1RLnjAcSjX4dkfMX20aIuSheW2YLAWzsacUljfuAVdGp62iurh5mC3lSb4Ewyxz6jdbTTZWvKaKbTWX3BPhxy89yFRFO23JXGKx0OhbnF1k4wqVyRp88nuGdfsEY4mB/WkUyhNOe3nkwn8/R1OkrW7ebxXto+qgBeo7o6HPbw/FiSdF4vichWObOQLbXtVuK0K9y9L8A3T0aIZQql1f6xWJZjs2l+9PreVbV/++q8PxLGzwF39SnC67Rz++4AT51LMJXI0d3h4LrBTr51Ktrwgslc7NhOolBV1UZZPc2FsVm0T6lS2MIF6vg5lCuuLf/cd2nFUmwk7QjJSpx2hZ0Bd2n2bjlem1ykKOCmHbVtsiA7PI7Npps6b33prXn+9aisAH7wqh5ALoi9Mb3IOys6Vn7s+l5eGEvyD6/N8Ym3D7bysgBZ8TofzXLvsJxL3B/28MrkfEmMCiE4clou+r0ykap7HgCZUdjvc+J12hn0ufjO2Ti5oo6rBQOvSKZAqKJiXAqwzxRWnWVsjpu8MJ7ktjWIkJqoqA7Wq4q+NbPIY2di/NytA22dAyPpQmnR2XTQXY9K4b+8OcfjZ+P80bv3bfp5xWbfSf8V+Lyqql9SVfV3VFX9V+Avgf+0frtmIeamEQ99Wf5Qr/UTmo+U6OpGLDdTuAGVQgBl1z7Yc0D+0Kh9tMNbI4y2GpUzEEtbSCurbs20kOpCMJMqVFUKV2ofTeVrM+T2hz0kcjqzqZU/JFM53XCYs9HhsLf8N3ryXJxcUXB/nTbIUKlSeHFW8KaTefoqApTrzRSmcjpep60kHIdDbgQw2uZcYa6ocz6WLQn5pTywv4uCDo+fLTdsHBmJYVfg3n3tt46CrHam8nqVw17cMCPwu2tPEQ/sD5Ip6Lw5k+be4SB2m7LiwoN58ePeXjOFf9ng638D5zdu17YBng4Zrtlk+6hIxOXc/c69pdsutViKS509Xe4V20dfnEjiddo4tEx3xIDPxWJeJ7HCOS+eKfDNkxFsCnz56AJJo1L21swiuaLgxopKZL/PxTsPdvHEaKyt89BMKk+6oLOnS36+H+j2oIvyHPrphQznYlkU4LWp5RcxzkWzpTbbAb8TAS3PT0bThZLzKEDQWPhbrQNpQRelv92L46k1GfMxW0f3drnrtgR/52ych0dibQu5WKZ8LAJuO3Zl7UWhGRk1Fs/x5LnayLHZVJ63pjePw3Gz7qNPqap6FdIxbRfwPPAJTdOWzhlarCH6F/9aTp2EehD1Wj+haVGohLoR50bqb99d39VwvXhiNM5sKs8HruxGueN+xLnTK1YKK0XGZjCb+cYJeTL5nsuaz2hsxLTRsljQpalMZdteplD+cG1GFC6kCxR0QV+nFIWdTtuKH3T1QnArDVQqK3R/9+oswyE3t1cEG8uZRLm9x6nUNcxpxJGRGHuCbg5214qiRqLwr16a5qp+b9OBx/U4NrPIX78yW2rNHY1mua8iT6tjGaOZShFtruyORDJcUWHHDvKk8EfPTJYG5gGGe+f5mRvCpdXNc9EsumDZeZzdXW4u6/bwz2/OlU4sF2JZbhrylVY628XntqELuRhhVkWXqxQCXG4YAY3HcyUR71vGwdTEfA9vp0qhpmmb37JyC6MoioylaLZSOD4qt6sQhfQOwne/g8jnUZybrz1FjJ+HeKS6unkJs6fLzRPn4izmi3U7YoQQvDyR4rrBThzLhNObhjtTiRyBBl1QXz0eIVsQ/Mfbd/D7T0/w5WML/Mh1vbw4kcJlV7iqv/pz/D2XhfjGiQgPnYry4Wt6Wnpdplja3SUXGw8Y54vT8xneATwyEsNlV7hzb4DHz8brOjXnizoTiVzJLKjktJrIs2uFfNpKopkCOwLl11ZZKVwNY7EseV1w604f3x1LcnIuXXMubJWJeA6bAtcOePnGyQhFXVQ525rHdSyeq3HcXQkhBJF0sVQ1tSkKoQ4HC+m1nV28EMsxlcxjU+Arxxa4Z1856kUXgs88Mc54PMs/fvCyqte2UTTrPuoGJjVN+6ymaT+nadpngSnjdot1QJx4A156BuXBH5Qrl8tUCoUpCldqAQ10lUPiK8mmG7aergdPjMb4t+Oyaqm87R6UOx9EOXxd7QP3HkC560GUy6+pEhmVImmj+Mqxeb51am2ypzMFnVhGZsKZP1dSWTlsZlZvqVGKz2VvOO8lhCCV06uMZkCuztkUqmYcJhM5vvjWPI+cqZ5vS+X1Uvupx2Gra5izHKORDKfmM9x/IFi3BSTotqNQu4KXL+p89XiEv3t1dlU5Us+NJTk9n8bvsuN32bl2wMvd+8qC125TcNuVJUYz1ccr3OHA41DqtrgkczqPj0pDGL9LvpaHjs9ydKYcqm223QwvUykE+OHrerm8p6O0n1f1eVGvau3ipB7mXGRlNdmsFC6dKQR5sf3jN/Tx0Wt7GDByzzpdNhbz+rKrw9lt2D5qsQnw+pqvFBrOo5WVQvoGZMbv3PSa79paoH/1H9D/5o83ejfWDLMK9tJ4fSE/Gs2ykC5UVfGWYn4mNTJhSWaLfP1EhLfv9nPn3gB37gnwteMLRNMFXhpPck2/t6Ylc0fAxY07OvnWqUjLpmeVBjEgnVpDHQ5OL2TIFnSeOBfnbbv83L7bT0EXHJ1N1zzHhVgOXVBVKZSvs/lZO1MIVUYNBYzvVztTaM7Uf+DKbuwKPD/egsHTMkwkcgz4nAwF3BR0mK+Y9xNGPAfA2ApzqPVYzOvkdUFXR/kctx5Zhc+NJQD46DW9nItmeaVi3vLRMzFGFjJkCqJq0XgjafYM/TBw45LbbgQeWtvdsQAQxSL6F/4PhHtR3vV+lFB3/TgJaL591OeH9CKisOQNvwEzhYt5KYIyBR3F04HtR34WxYzNqEBxurD98M+i+IObqn00ni0ykyowncyvSait6Ty6x1jtWyqoMnVcLxtRFoXlC/ZGRjO5oqCgi5r2UbfDxlDAxdmKlsgjhtnJ0paVykpjh9NGpiCaNsU5ciaGwwZ3L5MDZbcpBD32Gqvo2VQBgTQmONWGvbfJdDLHoN/Fp+7dxafu3cVv3LOLw0tWOL0ue7XRzJLKqqIodC0TnWHe9qGrevjUvbv4rft30+my8/BIeVHhTCRDp9NWEvL1uHagk9+4Z1dpP//7Pbs4UKey2irm66h8j5gXCPVEIcBNQ74qQWo+x3KV7Mz2bB+12Gi8PkSz7qNjo+APogTK3R+K4UC6aWMp5qYhFpV5xVuAawa87A+7+ZPnJjleRxi9ZLiC3rDMPCFUBtgvf5H99RMR0gUd9Sp53fFD1/SQ1wX/73OTTCXzyz7/ey8PE83I+fdWOBfN0tfpqKp+Hgh7OD2f4ckz86RyOvcNBznc58VhU+oatZjCcm9IXicE3TITeLKF9lFTCIUqhJDPZcOmlPML2+VMJIPbrnAg7OGqfi/Pj62NKBz0u+r+TecWC6XzzVgTMSZLiZSC68sCOex1NOyqKuqi1GbcLN+9kOSybg/vuyJMuMPBVwwX28V8kb97dZZeY5Zxte7la0WzovBq4LtLbnse2Bo9C5sM8eyjMDaK7YMfR3G5ZaREIobI1/nPn21WFBoX3KklH2bZiz9TaP5Hnmnhw6yySrPR7aOmSMoUdBJr4NhlHoc9xof90mpgq5XCmWQeBejrlB82nS47i7nlnUuTFfEKSxkOeRgxqlhFXfCoUSGcSVUL4srKmVkNyjZR0c0XdR4/G+fWnf7SimU9Qh21gms6VX7/HKnjzNks08l8QzEGcq5w6Uzh0spquMNBtJ4oXJIL5XbYuP+yXp4+nyiJ/JGFDPvCFz8vFCi9jspKofm+9i0jCmuew2k+R/3/D9lt2D5qsQnwdsrw+iYQY6PVVUKAPiOWYrM6kM7NQLHQWuzGJsbtsPEb9+yi2+vg049fKFWCTF4aTzIccjc0RPE4bIQ8dp4fS/LHz07wi984yw9pJ/mTZycZjWRI5Yp89cQCt+70lWa4dwRc3Dcc5EVDdC5XibxuwMvOgIuvHY+0tCBcOQtocqDbw3g8x5denaTX6+CaAS8eh43LezvqzhWei2Zx2hR2GJVQRVEY9DuZalBhmkzk+IsXpkqVzXpCyKYoBNx24tnVVcjOLmTYG3JjtyncstPHWDzHRLz96pcQgslEjh0BF4Olqmj5nG+KZKdNYayN3xMz3MyrRGFHY1H4hTfm+MmvjDQt4GZTeU4vZLh1lx+nXeG9h0K8NrXImYUM//LmPNFMkf98xxAue/PxX+tNs2foGNC/5LZ+YG18Zy2qOXtKVvZuvF3+3BWW/8aWMYpRFHA3rhgopihMlgddRbEIudxFF4WmsGllQHozVQor2ykrhUm7mMdhr3HSqGkfbdFoZjqVI9zhwGm0v/hcdkSDbU0x0FlnhmN/2MNCukA0XeCVyRQL6QLX9HvJFUXVymJl5azDuPBvpoX0+bEkiWyxrsFMJSGPg4UlkRSmY+s1/V6eMNoz22E6lS/NXy6Hd0nMRr0ZTDmPUCuKTDEbqriQee+V/eSKgifPxSkaA/r7QxvTjV+3Umi40S43t7P8c6xUKbREocXFQ/H6mpopFHoRJs+jDO2tvsMXgA7vpqwUisVUWQzG1maUYTPQ5XHwP+/dhdOm8D8evcCxmUVen0rx+NkYx+fSDauEJntDHk7NZ3h5IkWP18EtO308dS7OJ745yi9/a5RUTq9pvf/Q1T04bAo7A65SC+pSFEXhPYdCnF7IcGKuuYv4fFEwHs+VTGZMDoQ9COD1yTj3DAdLpmXXDng5G8nWdMaci2bZGXRVzZ0N+JwN22S/enyBb5yM8phhUFZPCIHMKlyN0YwQgrORbGn84eYh+Td6YZkWUiEE/3Zsgbca5DLOpXJkCoIdfhc9Xid2hSoBfN4Qhdfv6GyrfXTpYi1A9//P3ntHSXKe192/t7qr84Se6Uk7mxOwyDkQgSAJCATFJJGnRdoSRdk+tCzqIz99lmXRkkmLtGwFS7LsY4uiKCqakpqkRIMSRQokARAECBAZRFhg8+5smNgz0znV+/3xVlVXd1en2dnZXaDuOXt2pqr6rThddes+z71hnWzZaCs8vDibp1A1+PRDMz2JGpZaestmdTx+ZM8wIb/GHz8zx/3707x15yCXjoXN+K+zi7RaL/R6h/4K8MVkMnlFMpmMJJPJK4G/AL507jbtDYxiHiIxWzUQcbO00jV8vgjBHhQGF1LYs8q4zrDIyWyu9z9kZwllqXZ+ewqPLJWwvpf7df5yw2y2TMAn7MbxZjXQSXZ6IoVNylddCXL/0reD2F1UoR0mUTmcLvLAoWWGQj7ecUncXo9zDGs9ljFLL2YzDxxaIRHxc/Vk+x4RcFcK57IV/BokrxylUDV4rM+SHlBEKFc2uiqF4WalsNIa4eG2jVDvhXSW7Fw6EWPbUNB2JSvXZEto/UbB7frIFGsM9KgSqjHMvsQ2ocVWtmioD+t0Dx7OGr32FB4/rF6Qbt/dMFkIAWNTyAvRgXRprv7zavr8bcc5wERMlfMXKga//MBx/uO3T/B7jylibhmtdMK/v2OaP/nx3fzZ+/bwybds4RfetIk//rHdfOiaMWqG5LatAy2l92NRnY/fOsW/uG6849h37Rgiqmv8/au9hdmfXC1Rc/QCWtjt+L53GptdY94LXzjTSJjc1MbJWIDZbMW1l7tmSL5v3hO/+soShpSuRAhUKerZlI/OZivkKoZ9D5uIBdg2HGzbV/js6RxfeGaO//SdE7zYxnnzxLJ6Pt00oIjweBMBPrZSYjTs55JEmKVCtaG9oxcs26qpo6cw0t7UrmZIDi0VuX5TlHLV4NcePNG1lPSJmQzTgwE2m61BsYCPe3cP8eJsHr8m+Klr1LW2ayTE4aVizy035xK93qF/BZVJ+AMgCzxu/v6r52i73tCQzTERZr+dTLt8CZV67Am0SaHjwbnXfsR1Rn4NSqHTXOZ8K4WH00WuMHvO1oUUmkqVTaaaewqrBhbl79VoZryBFLYaiTiRtZVCl/JR80v+mVM5npzJ8pYdQ0ybb1Etpc6QklzFsNWiUI9K4XxOhdxasQadEA/7WS5WG740Z3MVEhGdK8YjbBoI8MDB/t+WzzWZ8rSDs3y0akiKVdmqFIb8FKpGy/lbLlQJ+oStoIJ62Lx79xAHFos8aJbknj9S2KryrZaqbfsJ3WCVHrfrXa3nFHo9hR42EPERyK527SuUrzwPgNh3Vcs8MTZ5XpVC+cz3Mf4h1TrDYX4jV15fpBBgRzzE7963nV+6fRP/+e4t/M937uAv3r+npz7qsK61lJgOBH287/JR/vjHdvNLd0y7fu7O7YNcP91ZiQzrGvfsHuax45meAtVt59GhRvVxOOxnIqZz7eahBmVy10iIaEBrKCHNlmosFqqtpHBAp2pI15LH/QsF0sUaN2+OcXK1zJMzWZvsOIkQKAfSsykftaI1djiqXW6cjvHyXL6FONUMyZ89O89ETGcipvOZh0649o/OmHmVVrnsZCzQQAqPL5fYOhxk86Caf7LPEtJ0oYYmaHj5aV0ziy7H8/hKiVJN8ubtg/zyndOcyZb5r9+daWs6lC3VeHE2z82bG6+nd106QtAn+MCVo/b6do2EyFeMdXmePFv0RApTqVQxlUp9FIiiykZvBUrAgXO4bW9cFPMQchhdWErhiptS2GNPYEy9XZNOpfA8kMJyzaBqvtXqr3y0/sVyPnsKCxWDk6tlLh+PMBD0rZNSqJQ9ixS29BSageghv+j6NqxSkyzmqw0kp9sDu6XuuIUPxwI+JmI6/3ggTU3C3buGbMJplc4WqwaGpG+l8NuHV5DQtXQU1Je1IRsd0qzjJoTg7l1DvDxf6PvGYO3DRKxzlnhE18ibx89S1JqNeSwlsPktY7pQIx72t6j5d20fxK/B115dIuATNtneaER0DUGjyrdaqvVFCru9eLBe6njlox42EmLP5co99MDLHZeTrzwPm7c3mMzYGJ+CxTnVbnEeYHz7a8ivf6nFTEYuvH6VQgtTAwFu2zbIlRNRtg4FXe9R5wPvujSO7hN89gezXXsLjy2X8AmYHmxtD/iPd23mU/fubZjm0wRXTUR47nTOHvug2bKy3UUpBNU72IxHj2cI+AQfu3WK8ajO3768xHKxlQiBciA9m/LRw2b1lJO03rQ5hiFbS0gfPrrK0eUSP3n1GJ9+21biYT+ffvBEQ1sOwPF0AV0TJExvBFUqq/azZkhOrJTZNhxks0m2T/RZQrpcrDIU8ttlu1AnhW4OpK+Z5cJ7E2GumozysVumeHGuwF//0D0Z4KlTWWoSbmlStseiOn/6vt28d9+IPc0quz28xpzj9UTPAVfJZHIMlVP40yiDmUeAj/fx+bcDvw/4gM+bsRZuy70P+DJwYyqVeiqZTG5HqZKvmos8nkqlfrbX9V6UKBZsdRBQJTB6AFyUwhZVsR2iLuWjJincyEgKZwneXB/9eMWK+nLUxPmNpDi6XEQCO0eCTET1dekpnMtW2DcWJuATCFzC66sGYb/WsS/QwkK+ggQmHD1ybpEDTmRtkuP+wL4zHmI2W+GSRNjOQxoK+WyVLVtS4/ajFBpS8u1DK1w1GelKyADbNjpdqNr9EHPZCjdvUW/h3rpziL98fp5vHVrmp6/tXP7jhK0UdukpDOs+8ub+2MpqoLV81NrGKQfBWypWXY0RBkN+bt48wKPHM1ySCJ63jCJNCCIBrUEpzJRqtstdL4h2efFQMtXugM9TCvtBMpn8AvBOYC6VSl3hMl+g7qvvAPLAh1Op1DMbu5UXMHZeAn4duf+HiKtvcl1Elktw4GXEW97hPsbYpDJzWZpXPzs/W8xj/M5/RHvfTyMubVUZzxbSqMGxQ1AuQXoBRh3fbYtzyktAGq+rnsKLAYmIzk9ePcbnn57jkWMZ7mzjnF2oGLy6UGDzYBDd5btvy1CQRCzIQrGx9eHqySjfP5FlZrXMM6dyfPGFeaK6xu7Rxmc1pwGL8+ozpCodvXYqSizg4z374vzRU3PkK7UWIgQwHPQpZ9Kage7TeHImy/94/DTlmoGUyrbiXZeM8JPXuGdaH04X2TIUbIjx2DMaYmpA54+enmVyQGffWIRS1eD/PD/P7pEQt28bQBOCz7xtK5/4p2P82ndO8Nn37LQdWmeWC0wN6Pa2Tg7o5MrK3G+lVKViSLYNB5mMBfCJ/pXC5UKVeJNiapNCF6XwtcUCA0GfnYP55h1DPHUyx9f2L/HOS+ItJblPzGSJh3yu2cvNGZzbhtU+HF4qcdvWvnZj3dHxtW0ymdSTyeT7ksnk14CTwL8G/g5lPJNMpVI99RQmk0kf8L+A+4DLgA8mk8nLXJYbQBHNZqfTQ6lU6hrz3+ubEAIU8giHUiiEUGYzrj2F+Z5IodB1tZybUngOIikeP5Hh/v2tJNZSwaK61lekQ6FqEPAJQn7trJTCbLnG73//1Jozeew8uZEQEzGduT4yggD+8bU033JEEWRLNXIV1dOmCUHQr7kazYR0rcUB0w3NcRRQJ2vt+r1so5k2b2F3moHq9zgUPSchtsa1yKdtNNNhW1+czTOXq3DPruGO+2NhJNRY61+oGKyUakxE1X7Gw35umI7x4OGVtll5bpjNlonqWleXzYhfGc2oTEd3ZXUk7N6PkC5UW24YFiyVtFM+4UYgqvsaegpXSzUG+ngrH/YrW/P2SqEKYz4f7qoXOf4UeHuH+fcBe8x/HwH+YAO26aKB0AOw61Lkqy+0X+jgy1CtIPa5ZOUCYnyT+sHNgfTFZ+DoAeRT31uHrXXB7Kl67//pmYZZcmFOkcTB+OtWKbyQ8Y69cXaPhPj807MNJZLlmsF3Dq/w6w/P8FNfPsCLcwX2jff3jHXNlOor/OV/OsYXnpnjivEI//0dO1qqNywDlmal8NWFAkuFKrdtVSrV3buGGQhoHF8ptxAhUEYzACulGpWaweeemiUW0Hj7njj37Y1z5USEL720yD+1adE4nC6xs+kloiYEn37rVgaDPj717RM8cyrLP7yaZiFf5aevHbPJ3lhU59/evomVUo1HjtbJ8YnlQsPLVUsVPZMt2yYzW4eC+DXB1ECAEyv9GbUsF2sthjvRgEbAJ1xJ4YHFIntHG/07rCiTL73U+Gy+XKzyzKksN20eaCHgbtB9GluHgy1q6flAt1qeWeAPUSrdLalU6rJUKvUZVOloP7gJOJhKpQ6nUqky8NfAe1yW+wzwm8D5PzLnE27q3/AI0pUU9hEpERt0J4XnQCn8x9fS3P9KKym0SM32eJB8xWjrVtgMq4TSjTT1g+dO5/jO4VVedalh7wWH00WGgj5GzX6AuVy1r+bg+/cv8YVn5mxia5cvmuQm3ORyCeqBOuzXWsxO3NAcXA/dVZxsuUbIL9o6Td6xbZC7dgxyh+NtqCLElYZxW8pHO5ynI6bT1nVTnQ1mLMSbCJelMjt7J6/fFCVdrNnN9L2guf+yHSIBDUMqkyN7f5t6MIetbWxa/3Khas9rxtWTUe7dPcxbdnYvoT2XiAU0mxSWqgalmmQw2HMhCUIIogFfx0gKr5+wf6RSqe8CnRwt3gP8eSqVkqlU6nFgOJlMTm3M1l0cEJdeCTNHkc1xTCbky8+Dzw97Wt5TK1ixFKdOtH72OfX+Wh58ZX02tnn8owfrP59pJIUszipSOBR/XfYUXujwaYKP3jxJplTjT5+dQ0rJ946t8tGvHeH3v3+aw0tF7t0zzK/fvZWP3NBs3t8ZkzGdzYMBdJ/GL92xiV+9a7PrfcrNgAVU6aiuCW40+9lCfs02iGsmQgCDJlFcLdb4xoFl5nIV/vWNk/zMdeP8zHXjfOLOzVw7FeWzPzjTYgyzXKiSLlRde+LHYzq/cc82Ng0G+PWHZ/ibFxe5flOUqwTevR0AACAASURBVJqM5S5NhNkRD/KNAyrqo2ZITq4UmR50kkK1/6czFY4vlxHAFrN0dPNQoP+ewmLrfVkI4RpLUagYnFgptah+mwYD3L1riG8eSNvPQ1VD8pvfPYkh4R17e3vpDerF8OGl4rpkX58Nut31XwBuB24GDiSTySOpVGot3z7TgPMbdcYc00YymbwO2JJKpf4hmUz+u6bP70gmk88Cq8CvplKpR9awDRcPigUINxI1MTyKPOrSwlksIHpV+qIDSIfRjCyZ3PsckMLZnHKjaobVE7c9HuKluQKz2UpPLocWMRKit/y7drDexPQSl9Du81ae3Hi03uTdS8GiISVzuSpVQ/L4iQxv3jFkN6pbJC7sF65GMyFdwye6l4/OZsv4NRrKFcN6ZxVHZe61PwdTAwF+4U2bGqZNxAI8djxDzZD2uM3lo51I4Wqphk+0L1ltRp0Uquun+bhBo1KXiHQneqCu00099PJFTAKYrxh1ZbW5LyPowyfq2wiKYOUqhq10NsOnCX7u5knXeRsJRejUftnB9S5vlDuOoWsdlUIvo/CcwO3eOg20yFrJZPIjKDWRVCpFIpFoXqQv+P3+sx5jI1C+6Q7S//eLDJw+TuiWN7fMXzzwEuKSKxjZvMX183J0lMUtO9Cee5yRD/yL+vRqlfkXnwGfD04dZyQcQovG1vW4rM6eoBAMIfw6ofQCg45x55YWCF1xHcbSAtVTxy/4c3GxXC/9IJGAD8xV+OLTJzm2WuW1+Ry7ExE+cc9ebtw63FNlRLvj8vl/FkfXBCGXqCgnto3MspAv22MYUvLEzGFu3h5n61SdjP7ULUP83ctppkdiLevbVg4AJ8mKEF96aYYbtgxz95XbGpb5r++J85G/eZ7f+t4pPv+Ba9g0pAjSwaOKEly7fYJEovXlZgL4g59I8Ev/92VeOrPKx9+yl0Si9WXw+66p8t8ePMR8LcRwWKdSk+yZGrG3NTpUA46SMXTOFEpMD4WYnlRPXnsmsjx58iTD8RH8PThcSylZKb7KpvhAy7EYHzxFpioapj87s4Ih4fodEyQSIw3L/5s7B3joyFN89UCG/3DPXn7nwUO8PF/gU/fu5YY9vbeyXLW1rHwWQoOMDbRv3TjXf0cdSWEqlbormUxuAz4E/CLwP5LJ5D+hDGd6e+rqAclkUgN+F/iwy+zTwNZUKrWYTCavB76aTCYvT6VSq01jrOsND87Pl5isVpmrlImMJIg51p3ZtJn8808wOjra8EUzXy4RHI433CzaIT2SwMisMGoum/drZICRTdP4hkc6f9iBbselZkjmc69SNSTxkdGGXin/qvr5ys2j/MOraQpaqKdjbGhzxEI6IDB8az8vM1llLe4PRfoeo1w1OLHyKrftGiORSLA354MnZyn6Ij1dK3OZkm2y8/DxPO+7cRfZY4qk7ts2yUDQTyx0AkNrHKsiTzAWDeDXNI4vFzquZ7m6wMRAiInxxtr/aOAQVS3g+tmKmGMo7D6vHXZNVqm9tIgMDSCCighsmUyQGAwxVDOAA4hAqO1xqYhlhsI6Y2PuPQpuiAYOUUCNl5tRpPCyrRPEI4rU7agGgZPU9AiJxGiHkRSklMznXuNNOxNd931iUQKzBGODkFbncMtEgkSs8ct7JHqEvOGzxzu5os7vlvHhhnVcaA9II7F5+9paMpQxwHRiuK9tHI7MUMbn+hnpmyMa1LuOd6Edl9cTUqnU54DPmb/KhYWFsxovkUhwtmNsBGR8HAIBVp98lOzuyxvnZVYxjryGePcHO+6LcdOd1L7yZ8y/9AJiQr0gk688j8xlEG95B/LBr7P45GOIK65b1+NS2/8ibNmJlAaFowcpm+PKfBaZy1CMDkIhj0wvXPDn4mK5XvrFe3dHefA1nblMkZ+/edJ0066xuOhuQNKMTselhLL774SRoOSFUwXm5+cRQvDqQoG5bJl/flWwZdz/cs8WRsL+lumyqO6nf/DIYVaKVT54+bDrNn3i9in+3TeP8gt/+wK/8KZN7B4N8dxRtZ8jWpGFhfYeC5988yRLhQRDFFhYaK3Uun5Mmen99ZNH7aqkIVFu2I7hkI/Dc8scmC+weShgzxvVa9QMyYtHT9vxD52QKdWoGpIg5Zb9HPBLjqSLDdOfPKT2cVJvXV4D7tszzNdemSNIlb99eYn37hvhuoTW1/U+EVDq5FOHTnHT5vaxK2v5O9q0aVP3hUx0rQ9KpVLHUGWdn0kmk7ejCKIBPJ9MJr+QSqV+qYf1nAScr+E2m9MsDABXAA8lk0mASeD+ZDL57lQq9RRmuWoqlXo6mUweAvYCTzVt57re8OD8fIlZJS55Q1J0rNsIRqBcZuH4UUS0fsEYhRxFhH2z6AQjGEKeOGLvk2H+v5QrIKq972e34zKfq9jk5/jpuQYlcHZR2e8ndPXlceD0Ile6GL41YyVXRBcSKSWr+eKazouUkv2z6vjOp1dZWOi9PA6USlg1JFMhg4WFBYI1VQL52skFrpke6rpNr5hBrZeNhXl6ZoUXj5zi8Owy0YBGKbNMKQO6MFjJNe5ftlhmMuLDJwwyhdYvJSeOL2ZJhFu/jKK6YHE15/rZpWyRkCb7OqYRqfb9lROznDH7LEvZFRbK6hbm1wSLK1mq1arruHMrWWK66GudwyEfp9JZFhYWODSbJugTVHMrLOTNPM+yuqaOzaa5dLC7mrxcqFKsGgz63LfRiVpR2YOfmltkNq3OYzm7wkKx8a3kUEDj9HL9OB82z7leLTSs40J7QNKpsppX19bxWdMKvZzvaxuDmkE6V3D9zGquiF8YXcdb63Hp56b3OkO3e+sbHkLXYdc+5Ks/bJ356gsgZdt+QnuMW+5C/u1fIL//HcR7fxIA+fwPQA8g3vkTyIe+gTy0H3HFdeu23bJWg+OHEW++Dwo55AtP1mcuzqvtSkwoo5xsBlmtIPzr9q7eQ48I+jV+774d+DQajFY2CpOxAPmKwe8+dppLE2FeXSjg14QdIO/EnlH3qrAhsyrkVKbMndsG28Z+bBoM8Mt3TvPbj5ziF79xlLfsHGTBdDvvVG0Eqm+uk6lcRPfx5u1DPHhkxS4VnRpsXH4ypnoHT2XKvGlr/TnYciCdWS33RArrGYWtz4CjET9PnsySr9RsQ5jXFotMxnQG21T8vO/yUb55cIW/fXmJa6aifKiNIU8n7IiHECjfik6k8Fyjrys4lUp9L5VKfQRF2v4f4MoeP/oksCeZTO5IJpMB4APA/Y5xV1KpVCKVSm1PpVLbUTmI7zbdR8dMoxqSyeROVEP94X62+6JCuz4/y400XX/7JGs1Fbh7Nj2FQoPA+lrhzznq25v72KzysrGoTjSgNSzbCQWz/CzkF2s2mlksVO3SuLWUjx42S093mbXz46ZjZa/7YPX7ffCqBAIVyTCXqzQ4X4b8GoWm8thCVRLSBRGXfsNmzDUF11uIBrT2kRTlWtcv9GZY61ChtTUE9RJLcC+DdaLfyAMwswqtnkJHHIWF4ZAfgXvwrBua+zk7IdxQPlrDrwlXJ8142GffcIC2YcEXGqJ6/fqw/kb6Ca8HVT7cKZLCi6M4J7gf+FAymRTJZPIWYCWVSp2/UL0LFOKSK+HkMWRmpWG6fPk5CEdg+57Onx8ehcuuRn7/QaShDKfkc0/AvqtVjMXmbchD69xXeOo4VMqwfTdMbYHMSr0v0sooTIzDkNm3tLriPo6Hc46wrp0XQghw65YBbt0S44ezeT731CwPH13l2qlIX/f0qK7h18CvwT+/unOlxpUTUf7g3Tv5sctG+O7RDC+cybeYzKwVb98zTLkm+b/7lwjrvhZTnMkBnQOLRQzZGH9h9R7O9BhL0S6vEZSHQrkm+buX663cry0W2NuGUIMy6vnQNWNckgjxi7dtWpOTeMivMT0Y4NB5jqVY05NKKpUqAn9l/utl+Woymfx54JuoSIovpFKpl5LJ5KeBp1Kp1P0dPn4n8OlkMllBKZQ/m0qlOjXeX9woKGVBhCMNk0V8BAnKgXTzdjWx1KdRTGwQioX6G8WSMqlZb0dAZ0xD80OiRWoiuqYcLHskVMWqQSKiY0hJeo15Oocdzk7dMvTccGipSNiv2YQo4FMBubO53r6I5rIVBLBvLMy1U1G+fXiFoE80fLmFda2labxQsQixMpqRUrqes2ZHTieiHR7Yc+VaS/5RN4xFdTRhkUKDSEBrcNlyM8xxYrVUY7NLblMnxEM+DiyqczjrQn79mmAw6HN1DnODmylPO9g9hWXVUxgLuDtpxsN+XlusX2dWf+GFTgpjAR+lmqRSk2SsnsI+SWGnFw+lmsFgyFMx+kUymfwr4C4gkUwmZ4BPYbZupFKpzwJfR8VRHERFUvzM+dnSCxvi0qvU/fPVH8INt9vT5SvPwyVXInzdr3Vx61uRn/8dOPASRGOwOIf40aSat3sf8rEH1zXL0PIQENt2Q+iU2v7TM7B7H3LRJIWj44j0opq3moYRr/T6jYbxmM4v37kZKSUL+SqHloptlb52EEKwdzTMZeMRJnvosY8GfPz0tePcu3uYr76y1KDanQ12joTYMxpSTp9j0ZZ77FQsgGUuvtXxzBLRlfnfzGpvHpjL5jOkmwHc3kSYO7YN8NVXlrh3zzACWMxX2ZPofEx/9JI4P3pJD2VvHbBzJMRLc/nuC55DbNiTSiqV+jrqBuac9sk2y97l+PkrwFfO6cZdSGgXE2EqhTK9iP1nckZVCYlebwRW2Wk2oyIueoyz6BezjpiG5ofEfKWGXwNdE0zEdI73+GbHch+tGXLNSuHhpRICVe6xJqUwXWLnSLCB/EzEeie2s7kyI2E/uk/j7t1D/NYjpwAaSgVC/kYyZUi1v2Fds7MKC1WjJecG3B05LUR1H+mC+xdmtovRjBv8mmA07FcqqWiNZwh1cYnNrFEpTBeqSCmZzVa4fCLSssxw2N+g1HWCdZ325D5qK4U1sh2U1XjYz2pR9Tf4NGVtrYn+CdZGI+qILVktqePXTyQFdFMKDULn6U36xYxUKvXBLvMl8NEN2pyLF9t2QzCEfPVFhEkK5fwZWJhF3ONmhN4Kcc0tyFAY+dh3YGwChEBcdaOauWsfPPh1OHkUJvpzmmyLYwchHFXup5r625FnZhC798HCnHpGiA7AkPkg6mUVvqEhhGAsqjPWJXO3Hf7LPf0H5E0OBPjZm9bXKO3te4Y5sHiGzcOtz6aTZi6jXxMtBnHTQwFmXBxIKzVl7PfgkRU0IZgc0Jk3n5XibcpBf+qaMb5/Isv/eX6eW8zns05K4Xph10iQ7x5dZaVYtWNCNhreXfpCQ9F8S9CkFGIZwSzXRVLbBnvXvp6GFgONAfY9B9/3CSdJas7Gy1cMwroPIQQTsQBz2UpPkQ7KfVR0JRudcDitLI6HQr6+lcKaITmaLrbkyfWjdjrVrZumY3Z53rjjSzzctH+lqkSiSJZFBNspcG6OnBZiTeHkzv3KV5Ty1S8mYiqrMFeutcQzuJXBWpBSqhy8NZDCUk0yl6tQqBqugfNxFzvpdpjNVhgK+XpyxbSOvVU+2u54xUN+JPWeheVilWGXsOALDZYLrBUOHAtofZfARHUflTYvbVT56IV9DDy8fiH8KnLC6iuUUiKfeEjN69JPaI8RDCKuvw359KPIJ78HO/YiTEImdqt7sDy0f922WR49CNt2ITRNlYn6dTurUC7OQWJcKSmDahukl1Xo4SwghLggcmTv2DbIaNjPFVOt6qOVVbh5MNASobVlMMDMStmOdFgtVvk/z8/zr756kP/26ClOrJSYy1b45oFlHj+RZSDoa3sfn4gFeNclcR48vMo3Dy7jE7BjnUpkO8F6vvzu0dWzil47G1zYNU1vRLTpKRR+HQaGGgLsawdf5s+vSPIOX4yegqlijaTQyjh84UyOEyvlrtJ3zZD8yTNz/IvbBjq+TbDIz2y24lo+aqku41GdiiFZLtYaIhSaIaU0lUIf5ZpBcY2RFIeWilw2FuH4SqlvpfBUpkypJluyeMZjOkvHqlRq3cebzVa4wlS3dJ/GXTsG+dr+dAOJC+uKFFolotYXg5VTCIqYuHlrdiqHbJchZ0Vc9KsUAozHAjx3OoeI6S1KYafy0VzFwJD9q2fWW739Zsak236OhH3MuITYHk0XefDIKh+6ZswmO7NN/ZydYB37gpmt2W7bndEZoxG9Y3D9hQTr/GXLtTX1e4KDWFaMlv7BkhdJ4eE8Q1xyJfIrf4Z8+jGMB74Kh/bDrkthcrr3Md70VuSj34JTxxE//qH6jJEx9eJ2nfIKZaUCM0cRd79brVfzwcSmelahFVwPMGj2FHpZhR5eBwj6NT733l1MjCVaHFwtA5qtLu0u04NBClWDpUKVuVyF337kFEuFKjdMR7lvT5xrN0XRhECaLUiaoCMJfv8Vo3zr8ApPn8qxayS0IT3xu0dDDAR9fP7pOf702Xn2jYW5ZirKj+0bWVOf4lrg3aUvMEizp5BQa2kcwyNI02hGSsnC8VPcn7iBR46tti7rhjak8FuHVvibH3Z3/Du5WuZrr6Z57Gjnls7ZXMV+49FSPlqtk8K6WUnnEtKqIalJCJlKYckkTf1gtVhlIV9l50jQVLH6I4WnM2obNze5YU3EdAwJs5nOteyVmmTRdOmy8K5L4ty8OcalifoLgJBfhaSXa2r/bFKoaw1ZeW6YzVUI+gRDLg/0sYBGuSZbyKtFFJtJXS+YiOksFaqki9WWvMFOiu5ae9YscvXqQntSOBxS5aPN18cjxzJ89ZUlnj+Ts6e1M+Vxg2Usk68Y5Cq1tscr7shKBFgqVBkJX9ilo+BUCmtrUnHVGHVi6YSUkmK1lSh68LCREJdcBYDx2d9Q/YA/9XNov/hf+lNHdl8GCVUeKq6pRy0LIRC79q2fUnjyKNSqiB11AxwxuRlOm5GUi3MIkxQKXYdITPUUevDwOoBfc1cth0I+rpqIcPPmVmdVK8j+T5+d51ceOI7uE/zOfdv51bu2cP10zK7WsQLq3ZxHnYgFfHzwStWatbfPHs21IqL7+OP37uLX3rqFd14SJ1uu8e1DyxtGCMFTCi88dDKPGR6tK4Xzp1k1VbheyxetnkKZXVV9icUCDAxTrKoH3XYGJhYsArFSqNIuprJSM1jKV9m2K8APZlqNZvIVN1JYYV8HB1+rDDHk1xBClVOWa/2Vox1OK9K2cyTE82fyrqpZJ7QzDLH24fRqiR0uPN7CQr6ChAZlaiIW4D+8eXPDcpaaUjAfoi21TZWP1tUqN7g5clqwe8bKBsPh+sO5VVLaXP7ZC6x9OZ2pcPl4486H/e2VwtU1kkJLTd5vksJxF5VvJOynakCmSc2zXjx869AK122KmVmaFW7fNtjz+iO6MvpRPZjux8vaRst1NF2osntkY24oZ4M6oTNYLdVIRPq/NcQcxNKJqiExzJc6HjycN2zbiXjT22ByM+Kt70QE+y8HE5qGuO/9yJeegcnG7252XwpPP0ptcR44u2tdHj1obvPu+sSpLfDM95EraSjkVEmphaE40usp9PA6hxCCz9zt3vtoOZB+9+gqN2+O8bFbp9b0stuJe/cMc2y5xNt2DZ3VOP0g6Ne4ZirKNVNRgDV7aKwVHim80FBoTwpFfNR2JJMHXiHjVw/ivUYiEHMYzQAUC4hQiELVoGpAqSY7PrhZBGKlWAHcexHnc1VFfmIB15LFfLnGqPnA2WukQ8HsSwzrGkKobSj1qTxYzqM74yFCfo3FfI/HzES6Ta6N5fR5erXIjg4P0vXSzs7OXs4yxeFQPTqjUSl0J7RujpwWnOWBTsctq+dzLV+eToMWt/LRbkrhWnoKAY6kS8QCmmvJq1OpaySF6vg/MZNhtVilWFXqc69KIViksNYxwsOyuE4XqtQM1Tt5MZWP5so1MqUaO+L9E1nniwcnio6XOh48nC8IzYf4mY+f9TjanffCnfe2jr/rMiRQ2f9DMFXJNePoAXW/HnUQv8lpkIaK0UBlFNoYintKoYc3NEbCft62c4jt8SDvuiS+Lv2Rfk3wczevr5FOv9joChvvLn2hoViAQMDdInt4VGUVVSpw6BVWY8p8xhkB0QnCrysDG6t8tFSEUNhWdLqpZxaBWCm0X189+003zU3cjWZAXezxkK/r9lsPlWEzlsE5rVccThcZj/oZCPoI66Jr3l8zLJKhN2XTjUb8+AScWumcLdNr/EHY3j+1fcUGpbBudtIMy5FzvA3ptJTAXNNnrfPTTvnqBOe+uBnNtCOFa1UKYwENvyYwOpC55vJNC7O5CntHQ1QNeOjoqh0j4qY2tkNYV3EXhmx/vHSfxkBAI12oslKqYUg69steKLCvD1MpXEtPYaxN+ah1HXjlox5e19iyAwIBKvtfOOuh5LGDsH1Pw4OtmNqifnjxafX/aJ0UisG411Po4Q0NIQQfu3WKd186ckEY5lys8O7SFxqKefd+Qqg7kK4sIQ+8TGZyBwDzuQo1o0eS5AywLxYgGLYf2tzcKZ2wHvaWO7g7Om3+3bLxnEYzarlA1/JXa/tCfo2gaWtf7MHYxYlDSyVb/Wh2+OwF7QxDfJqygT692o0UlvFr3QlCyDw2FhksOIxmOvUUZspGW0dOgJj5kJ8tNT6wW+dnLUYzI2G/7QDW/PmwrnoYqy7XpRV5MOgSHNsJQgg7zHa8TeC8ZUbjdCAtVg1WijVu3Bxjz2iIbx1c6Suj0EJE12wr607KquWAahHTi0EpDPo1dE2wVKhQrsmzM5pp+psvOf5+PXh4vUL4/bB9L6VnHkdavX9rgCyVlJGNs3QUYGIahEC+/Kz6vaF8dBhW0n332nvw4MGDE95d+kJDh5gIETc9J2eOwpkZMqPKNc2QqmetJ8QGkdlVZLUK1Up/SmFD+ag7ZrMVm/xEAz5XpdBJCnvJ+bO2L6zXlcJ+6qzzlRqnM2V2mb1dazGaWSpUbULSjPGYzqkuoamzuQqJiN61YTjs6CmERqOZcAdS2CmOAtorhbmzUAo1IRiP+l0/b/dGupS6rhZVVmV4DSTBIljdlELniwurPHkiqnP3riGOrZR49FgGTdBXplNE11jIq3E7Ha+4mZV4MZFCUPt0KqOO1ZqMZvR6CaoTlqrvRVJ4eL1D3PEj1OZOYXzyo9R++xMYTzyMNPq718jnHgfDQFxyZePYwaByOc1m1DNCxGG2MRSHcqnuSeDBgwcPa4BHCi8wyEInpdAMsH/6UQAyA/XQ+r7MZrKZBkObulLYmRRmyz2Uj2YrjEUV+YnqWgMJqdQMKoa0yQ2oB/WFfGels+BUCs0Hy36UvqPpEpJ6BkxI16gayhG0Vyx3iBaYiOqc7qF8tBdVyurptPbZaTTj0wRBn3vp61wX5atdaV+2bKCJtRE0wC5XdespBCi4XFPK3dK/phKPbqTQenGw5Aiwd/Zz3rFtkIBP8MzpHKMOpbMXRHTlDAvdlcK0Uyk8TyG0/SIW8Nkuu2tRCnWfuj6brzFPKfTwRoF2y12M/dFXET/+05BeRH7+d5APf6OvMeTD/whjk9BECgGYMs1tRscbvz8HvQB7Dx48nD28u/SFhlKHQHlTKZTPPQE+P6vBAQJmj9tcr32FVvlosZUUNpd9NaOuFLYvH51zZL/FmpRCi8w0K4XdlM6iq1LYO6E7nDZNZkaU21xz3143WLk2bUlhTCddqHQcr9f4g3Cb8lFrvy2zk2Z0K4eMtnGGtExT1lqDb53rdkqh27ZmyjUG1+gKZpPCDgpfPOxr6Cm0+gcnzJLm27YO2L/3A+d1a6lirusP+Vkq1OwS1vhFEEkB6hxa3yNrIYWg/uab1eiiRwo9vIGgDY+g3fc+tP/8Wdi8A/nEQz1/Vp48DgdeRrz57Sq0vgli0uwrdJrMAGLIyyr04MHD2cO7S58nyGMHMb79tdYZhbwyg3FDJAZ6QBG6bbvIVCTbh4NoolUprBmSv3xuvtXZMzaolEKTFFYDYSwu06tSmCvX2qpsShFT6lE0oJEr1zMF8zYprD9wOmMp2sHZVxfqk9CB6iccCvnsfj6nw2cvyJQNqobsQArV/rZzUS1UDFZKNduptBNaykcrBn5N2AY3Yd3nXj6aqzAQ0BqOrRO6TyPgEy19o7myYUcJrAXW+WtRCv0dlMJijYE++wktdFMKQZGyBlKYrRDwCdsZ9O5d6gGqnSlPO4Qdx7bTMYuH/VQNycxKmVhAQ/ddHF+zsYDPVkLXSgqjLuZSVv9v0OeVj3p440BoGuLG2+HQfuTifE+fkY98E/x+FZ3hhinVMiKcrqRQVwo9B1IPHjycBS6Op5XXIeSj30J+6QutjeHFAiLYpqdQCNtsRuy+zLa7T0T8LaTq2HKJL7202BpsHxtQaqRpNlMI1NfV/Ia/Gc75GZeH/UJFOReO2+qRj6oh7SD2vItSaPV0Wb1abrAdOPW1lY/OrJTYNhS01bB+ieVylzLAMTOKop3aaakv472Uj9pKoTpmhapB2NGLFdHd8/86OY9acIsIyVVqHVWvbrhxOsZNm2MtJC2kq212UwrX6m4JcP2mKLduGWByoP2+qvLN+npnsxXGo/X8xsvHw9y1Y5Bbt7QG4HZCg1LYpXwUlEJ9sfQTQqP6eVZKYYvRjNVT6N1uPLyxIG64HQD59Pe6LitLJeRj30Fc9ybEgHsuWjulkCFFCr2sQg8ePJwNvLv0+UKhALUa5HON04sFCLcpHwW7hFTs3mf2ZvlcHTwPmbl8LQrcgArrlguzanV6fV3dlMJcuWZH8q66lJA6nUehrqZY47qRQuuheamDo2mhaiBQSsNaykdnc42lm81qXDdY29bOObTbPnQzgXFC1wQ+0Wg04yy7swLUW9fRvTxVRYS0RlKcjVK4dTjIr7x5M4EmNSzst+IzXMpHz4IU7hkN88t3TnfsBRwJNyqFc03nXwjBL7xpEzdtHuhr3c7r1vmz2/oBTq6WLy5SaF4HgrW50VpjtIuk8MpHPbzRIManYNtuzJfayQAAIABJREFU5JONpFBKiXzqe8jlxfq0px6BQg7x5re3H3DbLrjyBsTl1zZOjw6ApnlKoQcPHs4K3l36PEEW8+qHzErjjA7uowDCMpvZeYn9cD0R1Vuy/qw+uubpIqpIIQtzABT8QXte957CevC8m1JoZxSaD+C2G6FJYvKOEHoLIb9G2K+15Mo5UTCJkRCib5XPiiNwkoJQn+Wj3Vwk22XjWegn/kAIQUjXHEYzjcY8kUArKTSkbOjlbIeo7rOzJi3kysaaCUAnWEphc/moISWZco2Bc7BOC8NhP4WqQbFq2PmN/fYPusE6DxFd6+giO2z2EEpg5CIxmYE6EYwFOu9ftzFaw+utnEKvfNTDGw/ihtvg6AHk/Bl7mnzsOxh/+FsY/+ljGCZhlA9/A6a2wJ7L248VDOH72CcRm7Y2Ttc0GBz2ego9ePBwVvBI4flCoZUUymoVKuX27qOAuO5WxB0/QjEySNVQeWLK6KTaENNwaElFJMyZKpWNmEUKTaVQc5LCbj2FBpvMsr3VUuuyzQ6YVjZertSsFDYSgmZjkGYUK4ZN5AI+gaB3UjjncJ600K/RjLVtw20MQ4J+jWjAR7rofvxmcxWCPsFQj+pYyK81GM20KIVN5yldqFI1ZE9KYfM5Vkrh+hM0W41tIrD5soEh+88o7AcjDpKeKxvkK8a6kEJLHeymrDoV5eGLSCm09msguPZtjgZaXzxY30vBi6S30oOH9YRdQvqUcg2XmRXkl74A2/fA+BTyc79F7b9/Co68hrjz3rUHbw/Gkate+agHDx7WDu8ufb7gQgqdMRHtIK6/De1DP0/GJFoWKQTsYO2aITlqKoVzuSqGs28x1lg+WtAUWfKJzqSwZkjyFYMpixS6EKDZbCP5ac7Gc3MfhbqFfzuovjqztE0Ign7Rc06hm0rXr9FMulgl5BdtTVwARqOBtvtgOY/2erMP+zWbsDoJsdp2H/mmfe8WR2HBTcVRSuH6fw3UMxUbj8mq47o9V3Aqt7Z63YPJTzdY57+bshr2a7apSruS4wsR1n6dzbmJBTST+Ne/c4pVScAn1qw+evBwMUMkJmDHXuRTpiL4pS9AMY/24Y+j/fvfRLznn8P+F0APIG5969pXNBQ/r0qhcf9fYXzxD8/b+j148HD28Ejh+YJZPiqzDlJoxUS0cx91wHq4HjDLR6FOgE5lypRqkksSIaqGbOx1GzD7qBZV+WhRU58djfhb+s2csFS+yQG1fMZFKbR69yzy05yN59ZTCCYp7BBzUawYhPX6A2XQr9mB2N1gxxE4Siv7LUFNd8gotNCJFPZbvhh2mMk4CTFAxK/mOQ2KLOIz3qV8NNbU71WqqtzIc1E+aqlChaZrakNIoalCpgvVvvo5u8G6brsdLyGEfb1cTD2FdaVw7ecmqvuQ0FDiXKoansmMhzc0xA23w/FDGN/9BvL7DyLu/XHE9FaEz4f2zp9A+9XfQ/t/fw0R7c/8qmEdg8PntadQvvCknaHswYOHixPenfp8wVYKV1umiQ5KoYW6Uui3jV0scnDYNJm5dYsigA1mMxGTFC4vgs9HQSqylYjoHZVCa95wyE8k4HMtH20mP/VsPKun0MAnsLMVLXRTCotNxCjk1/pSCoM+wZCjXNFWCvshhV16wxIRd1Jo9bT1E38QciqFzaTQDFAvOSJBrPPbzd00GlBxFpaKYym40Q6mKWuFT1NB5s1GM6sldYzOhnh0g9P4p9dj0wtsUtjD8bK2YfgclsmuN9ZLKYTGqoNi1SDkxVF4eAND3HAbAPIv/wDGJhE/mmycv3k7Ym/7XsKeMBSH1WWk0bkN5JxhcVatv9k8z4MHDxcNPFJ4vmCpghkXpbBDT6EFp+ISD/vRNWE/AB9Ol9A1wfWb1FtHJykUfj+EoyAlBMO24paI6B2VQmteNKAxHPK3KIVu5CfaohTWiOhaSxllPOSnWJVtyzmb++pCPs3OPusGtU2NpZtWX2Lv5aPtg+stjERVX2dzxEimbFCoGl1NYJwIO4xmlEqqNcyDRiVmNlshHva3OIA2w8qhs/bbOi/noqcQlKFPc//jRiiFA0EfPmEphRWiAW1d9rHeU9h9LOt6uZjKR2PrQAqtv3lnmXKxKj2l0MMbGmJkDHZdClKi/eTPIQLB7h/qF4NxMAyVQ7zBkMVCfb1zpzZ8/R48eFgfXDxPLBcJvrZ/iRunYx1z1GS1ogxlADIrSCn54gsLzJ+swqVJmAmzy7fEuy4daTuG8+FaE4LxmF4nhUtFtseDdqlna4D9ABRyEArbhiaJqHJsrBnStffHMo+I6T6GwnqLUpgpK7dHJ/nxa4KQX9iqQb5iNASAW3D2gIX11uNWqEimBuoPlUG/aCkffe50jkLVsNVRC26unJoQZglq70rhtVPRjsuMRgOUapJC1WjoPVxL+WLI31g+2mw0A4pgW4RjtgfnUagrt9lyrSGz8Fz0FILqrSu0KIX1sudzBU0IhsN+0sUaK8VqX4S8E8J2+WjvSuHFVD5qKaBnpxQ2vggCVT7qxVF4eKNDe/+HkTNHEZddc07GF0PDSFAlpIPD52QdbbE4b/8oZ08htu/Z2PV78OBhXeDdqdcR+UqNzz89x0NHVjsvaCmCKCeypUKV1IuLPLXq48XhnTyRhj99dr412N6B1WINTaiIAlA9c3O5MlJKDqWL7IyHCPg0RsJ+u6/OhuVAGgrbGYAWwWgXYJ91EIihUCspbEd+ogGfrTIWKoZrvttIl0iHXspHv/TSIn/81GzDtE5xBGG9N1JYqir3ym4P9wnTyKQ5q7BXE5iGbTMJa82QlGuywWjGUmIs0iilZGalxKbB7uWplnPsK/Pq+rPUnHOlFIZ1raV8NFOq4ddEw/k8F4iH/LZSuB79hAC6T+P2bQNcM9n5BQHA9VNR3rR1oGOe4YWG0YjOdVNRrpzsXqnQDs0l42BlbXrlox7e2BC7L0O76x3nbgVD5kvk8xFgv+i4986e3Pj1e/DgYV1w8TyxXASwHoSsvqm2sPoJATKrpAvqwfmj8UX+8PHf4AN7IlQNSaZDOedqSWW9aWZZ5ISpFM7lKuTKBjtHgg3TG9BECkNmpILaB/d+hJxdPupjKOxvIYXtyE/MkY2Xb0MKu4W/F5ocON1UvnShyny+2rBdWTuOoJUwhf2ip/JRa5viXXrDRiMBezuc6Cej0N4202jG2kcngbLUKut8LBWqLBdr7Ix3L0e6dCzMZEzngUOqZLlO9M9R+ahfa8kpXDWzNddsu94j4mE/S4WqGVx/9s6jFv7d7dNcP93dDOL66Rj//o7pc76f6wndJ/jUW7ewZ7R7T3M7uCqFNc9oxoOHc46RMQDk6RMbvmppKYXBMMx65aMePFys8O7U6wirf2p1tUujtaUURmKQXWHZdN4crimyGB8IAbDcwXwlU641lOCNx1RP4A9n1Rg742qMiWgrKRQxs8TSLB8N6ZptEJFtQwq7K4Xu5Cca0GylMN/UH2fBIlzLLg6kUkoXpbA1ksI6VpbJjnOb3ExGQj2Wj1rj9tJTCNgE396GXIWBgNYxzqJ12wSlmrT7BhvC65viNI6kVR7lrpFQ13E1IXjbriFenM1zOlN2KIXn5msg5FI+mjFJ4bnGSNjPydUS5Zrs6srqYf1gK4WO816sSq981IOHcwwxOgZTW5DP/2DjV744C34ddu5FeqTQg4eLFt6deh2RT6uyjdX5xc4LFkzSODYJmVWW8oq8xCtZ9f+AelPfTjmDuuJiwSJjj5/IognYNqyUo/GYzmK+SqXWmlVoKYXhBqXQnSjlygaaUKrVcFinWDWoOMxe2pEfZ+9awTSaacZA0Idfc9/fck0iaVTLmiMpSlXDLnttIIUucRQWnLEPnbBkEtVuhiFW+aibUtiP8yjUIzMsktyupxDg0FIRAWzvQSkEeNvOITQB3zq0Yp+XfghrP3ArH10t1c5pP6GF4bAPi/OvV/moh+4I+zU0AdlSY/mopxR68HDuIa65GV57EZnbYLOZxXkYGUNMbobZkx1bXzx48HDhwrtTryMKs6quPlPtUjJWUEqhGJ+CWpWljPo9XspAIMhIVD3gd4ppyBRrDDpKGq1w7udO59gyGLQfwiZiOhJYyDvUQpMUimDIzgCMdS0fVeYkQgiGTILkVAvbkZ9YQLPHzFUMVwIihGA45B5LYRE3Z/loc0+h83OH061KoRspCPk1Cj1kHaZ7VAoHgsoB1o0U9ktKLGXQIsmN5aPq+Fkq4uF0kamBQM/EbjSic+1UlO8cXmG1VCPoE+jnKC5AlY+25hRuhFLojBDxSOHGQQhBVNcalMKS11PowcOGQFx7CxgG8oWnev6MXE1T+71PIs/MrHm9cnEOEuMwMa0qoVbPQ1+jBw8ezhobZo2XTCbfDvw+4AM+n0qlfqPNcu8DvgzcmEqlnjKnfQL4l0AN+Fgqlfrmxmx1f8gtLgDTrMrOD73SDK5nbAqA5UyBgYCGXswhQ2HiYTN8u0Og+2qpyt5AvWTQevCtGJIdI8GW6bPZClOWI6pDKSzaSqFV9tVeKbTKDIdC9QD70Uh9fDe1SimFnY1mwAqwbyWkBZe+uubST4uIRXSNQ0sle/pctkIsoLn2zIV1jTPNvZYuSBdq+ER3t0wVWO5rIIWGlMzlKty8ub9AYksZtMYK6fUHaus4FBzK6N5Efz1g9+wa5jceOcljJzLnzGQG2hvNbFT5qAWvfHRj4TSXAq981IOHDcO23TA8gnzucbj1LT19RH79y/Dyc8jnf6CUvrVgcQ5x9U2IiU3KAXX2lMpN9ODBw0WFDblTJ5NJH/C/gPuAy4APJpPJy1yWGwA+DjzhmHYZ8AHgcuDtwP82x7vgUEgrA49VupQLWkYz45MApHNlhsN+9YYtFCbs1wj6WlUnC1LKFsUlFtBswmX1E0JdQWzIKnQxmrENIlxC6cGMMTDVqGal0CI/bmWasYBGrmJQrhmUa7IzKexRKQz6BTWJXRJrkeerJ6OczpRtItJJpXPGPnRCulBlOOS3DX06YTjkbyDy6UKVqiHXrBQum/2Jzgdq3ScI+AT5ikGmVGMuV2VXvHs/oRM3TMcYCvpYzFfPWRwFKAKbr9TsUqKaIcmWN6p81IyECPm80sUNhrNkvGZIqoaXU+jBw0ZAaJoqIX3xGWS51HV5mV5EPvwN9cvRg2tapyyXlDI4Og4Tm9Q0z4HUg4eLEht1p74JOJhKpQ6nUqky8NfAe1yW+wzwm0DRMe09wF+nUqlSKpU6Ahw0x7vgkF9Rdfxlzd9ihNIAUykUplJohaPLQh5CEVN1cidJoNSzmqShfFQIYZMPp+nIaMSPT9QjIwCVUwgQDFOoqMiDoE/gEx2UwkrNVgqHTaXQIoWdyI+l0i3mzVLIdqSwTfmomwOnRZKsY2yZu9wwHUUCR03zldlchfGoO0EP92g0ky5Ue86aaz5na3EetbYNHOWjTccsomvkK4ZdKruzB5MZJ3Sf4C07h4BzF0cByjDHIgWgri1DntvgeguWUthvP6eHs0fMYS5l/Y155aMePGwMxLW3QLkErzzfdVn5j18CacD2Pchj3UmhLOaR2abILct5dHRM/fP7PQdSDx4uUmwUKZwGnD7JM+Y0G8lk8jpgSyqV+od+P7vRML77DeT8mYZpUkpy+Xr+YLM7ZwMKBdA09WYNWCrDSMgPJaUUgnqobUcKV4tWcH0jWbHK5HY4yjh9mmAsqjOba+0pJBSxjWaEUH2F7d1HDZvgDYXr5aPQmfxYpGPOXH87pXDEjLloMMTBQQr1VlJYrNVjGXxCKYWg+uwMKZnroBRaOYXOhvhKzeDLLy42KIjpYtUu5+2G5nPWyf20E+zy0WJrTyFYpLBmm+r0EkfRjLt3KVJ4TpVCyynV7N20olo2RCk0ewq9fsKNRzTg49Rqic/+4Ayff3oOgKDPUwo9eNgQ7L0CwlHks493XEwuziMf+SfEbXcrdXH+DDKfbb98tYrx27+C8fu/1jhjUf2Ni9EJhOaDsSnPgdSDh4sUG9ZT2AnJZFIDfhf48FmM8RHgIwCpVIpEInHW2+X3+1vGMQp55v/ifxO6730MfuTf2tNrSwsUjPqDj+YPkkiMuI67KgyKkSiJ7TuZBZZrGptGB/BXymiJCeKJBJPDCxxcyLnux1xVKZLTiXjDOt52aY2BSJptmyYalt8cP81SsWaPJQcGSO+7moHrbqL0rRXiA1ESiQSD4aNURes+AxSqh0gMquUQaj+rviCJRIL8vLopXLJlnES8Mfh6akUApykKMyJjdNh1/M1jFWABX2SQxECd5PjT5jiJERIJRfoSCwZwhvDAEIl4hIJcYiQa4NKtk8TDxzmZAxEepGJIdk3EXdc3OlTEkIsMDI8QMstinziW5i+en2doMMoHr1O9FSulQ1w5Het6Pfn9fjaNDpI5sMzg8AgBv0bmkFKE922d6qt8LqvlgWNYFb+bJ8aIOl4ADIRnqAo/J3MwEQuyc/Nkz2NbSCTgvn059o5F1+VvxQ17VjVgjjNlnZ3TI5wqqzfMW8ZHSCTOfb/JXbsXuGt34pzt39nA7bvl9YJbd1Z4ef4Y359RD5hjsQDX7ZwkkRjo+tnX83Hx4GEjIPw64sobkM//AGnUFFFzgfz6l0CCeEcSTp9QvYDHDsG+q92X/8ZX4PghEAJZyCPC6l4vTVJoveRmYtoLsPfg4SLFRpHCk8AWx++bzWkWBoArgIeSySTAJHB/Mpl8dw+fBSCVSn0O+Jz5q1xYWDjrjU4kEjSPIxeUw2jhxWcoO+bJl58j76+X8R0/cozRoHt5orG0hAyGWcxkyEXiVNAIyQrVbAYxtomFhQXCWo2FbKll/QDHZ823eeUcCwv1ddw84ePmidZtjgfgwFyhcfr/9xmWpaRQXoKqWk/IB4uZQus+S8lqsYrPKLOwsEAikSCqa5xJZ1hYWODgmSUA9HKWhYV8476apbKHZ9Uy1UIOt1Oj15TqdejUHJojPHtuSbmYFbOrLKCU2IoZ6XFmfoloLc+Z5RyDAY3FxUW2Dwd45cwK+4+r8xTF/RjWSmqsmdl5W1U6ekat66vPn+LuLUEMCel8hbCouo7hRCKRICRVie6hk7OMRXWOzK0wEvaTWV6iH4PwgqmqzmXUMcmupClo9fK7gDBYyRU5sVRj+3Cg67a1w89ep14orMffiht2RiXDYZ2vPHucvQMGJ+bUUZDFHAsLHZT0dcIv3KzCnM/V/p0N3L5bXi+4c1rnzh/f3TS1xMJC9x6ntR6XTZs29f0ZDx5erxDX3oz8wcNwcD9y227k9x5APv4gYmwS9l2NmJhGPvoA4o57EaNjyIB6ESuPH0K4kEJ58hjy7/8GxjfB3Ck48hpcdo2auTgHPh8Mqxd9YmIT8sWn2hJSeeYkxv/4NbR/8wnElh3n7iB48OChb2wUKXwS2JNMJnegCN0HgH9mzUylUiuA/Xo4mUw+BPxiKpV6KplMFoAvJpPJ3wU2AXuA85DOasKqp5851vi27PQJCr4gGhID0THAXvUOKuKTjiuVJ24ZzYTN8tGQn3zFoOSS8WWVbfbamzUR01kp1Sg0hceXmjIAnQYRTpRrqi/M6eI5EPTZJbKz2QojYT8BlxIxqzxxLld3CHWD1QPWnFVo9yQ1GM1oDfOWClUSEfX5XSMh/u7lRWZWy/a+uyHsCIEfNrm85X46s1rm1YUiY1E/ksZ4g06wllsqVBmL6sxly2sqXww73EcDPoFPa+zHiugax5ZLzGYr3LFtsO/xNwq6T3DfvnFSz55kuVjt+7r14MGDBw9rwBXXgd+P8eU/gYVZyKzA1p3I116CJx9RqqBfR9z3fgDEwCCMjCmlsAmyVsP4k9+HSBTt45/C+NWfRR7aj3CSwpGxOgGc2ATVquo1HGutYpHf+XtVqvrtryE+/LFzdAA8ePCwFmwIKUylUtVkMvnzwDdRkRRfSKVSLyWTyU8DT6VSqfs7fPalZDKZAl4GqsBHU6nUuZcZ2sEihdKAw6/C5deq308dJx/YxlhIMFuE1Uyh/RjFPJhkMj2oSj3jYZ/tPmr/jiIYdpSECYuM9dqbNWGabczlKnaoPUCxydkzqmvMucQ0WH2GUQcxc5LCTuTHIpLzXXoKLTOX5j5Kq78v7DCqCJo/141mquwZVcxuZzxITcKTJ5Wa2q6fL9xELK1xAj6BJuCBQ8vctyfesG3d0LwPs9kKl49HOn3EFdb5qEmIuRwvZ5zGzpH++wk3Eu+8fIK/euYkDx1ZwTAP9Ub0FHrw8HpBtzinZDK5DfgCMAYsAT+ZSqXWHjrn4aKHCEXg8uvg+R/AFdej3fd+xN7LVQ/9mRnkK88j4gnEiKNUe9suV7MZ+U9fhWMH0f71L6ls5U1bkYf31+ebpNBe98R0PZaiiRTKUhH5+EMgNOSTjyB/4l/ZL9ZB9S3Kpx9F3HA7wufdJzx42GhsWE9hKpX6OvD1pmmfbLPsXU2//zrw6+ds4/qA03lLHnwFYZJCeeoEhbErGY/4mSuUyeQ7lEoV8jCgjD7SEVXCF9cFVMoQUl+QFsFYbkMKNdFI0jqhnlVYbiCFBdsZUI0TC/gaQqctWI6kTqfKwaCP5WJdKWxHfiyl0CaFbdwuh4LW/jauv1iV+DXQHSpkyEHoaoZkxXRvhboT57Onc8TbqJdQJ17FSiMpTER09o2F+d6xDNeYxjW9k0KfPU7VkCwWqn2bzAD4NYGuCSqGbDGZgUZi3a/z6EZj+0iESxJhHji4wg3TMXRNeE6UHjz0CEec0z0ok7Unk8nk/alU6mXHYv8N+PNUKvVnyWTyrcB/BX5q47fWw4UE7cMfg+xqQ/agEAKmtiCmtrQsL7btRj77ODKfQ0TUvU8uziHv/yJc/ybEDber5XZegnzqUaRhIDRNZRRaL8cBJq1YilOIK65rWId88hEo5BDv/xnkl/8E+eR3EXe+vT7/219DfvlPEHoArru14/4Zjz+k9vOWu3o+Jh48eOgMzxKuX2TN7rDRceRBdV+WUppKYYRoOEi0WmC1Q/A8xYL9dmw5otSoYc1U6Gyl0CxFdBknU1JZb6KH7DzAzg+cbVIBbRXOUgoDGrlyrcGREyBnKoJOp8rBoI9MqTv5Cfs1NAEL+c7lo7pPMBj0tZSPWjmKTtRJoWSlVGso8ZyI6UR0jXJNuuYmOrfLGt+Cip/wcc+uIYpVg79/VbncjPRICodDfgTKNXQ+V8GQa3e/tEirW+h3xMqLDPoY7XHbzifu2TXEzGqZp09lGezjuvXgwUNPcU6XAd8xf37QZb6HNyBEbLCvMHqxbZf64Xi9hFQ+/A2o1dCS/7K+4K5LoZBTimOlAitpGBmvzx8YVpVQLmYz8uFvKFL6I++F6W3IRx6oz8tlkF9PqZ8Pv9p1e+U//A3yr/8IWW2tbvLgwcPa4JHCfpFdBaEhrroBjryGrNVUcGs+S8EXJBL0M1gtkCl3ySm0ykcDAwRqZSIVs9w03KgUusVSrJaqffVlDYV8BH2iMZaC1gzAWMBH1VA9hE60UwpXS7Wu5EcIQTTgo2pINAFBX3tCEA83hr+DIq7NxCjoyCm0jo91vDQh7EiOToTMUqsaSGFRZRJeOhZmejDA/gV1ToZDvR1rnyYYDPlIF6przii0YJ0Tt1xHi1jvGAldFATrtm0DhPyCEyvlhmxNDx48dEUvkUzPAz9u/vxjwEAymRzdgG3z8HrCNmUOJc2+QlmtIL/3AFx9I8JZHrrrUjX/0H5Iz4OUkKiTQiEEjG9qiaWoHHoVjh5AvPntCCEQt98DRw8gTxxR4339y6qKangUeeS1jpsqKxWYOw25DLz0bOv8ahVpdM8h9uDBQyMufJnhQkN2VYW/774MHvw6zByBvDKVyeMnqmsMyDKr1Q5kwAypB1j2R4lnM4gVZWoiTKVwMOhDE/VgdicypVpfpFAIwXhMb+kXdFMKQfUQOs1t7J7CJqOZYlUys9LZ0AVUmWumVCOsax1JTHP4Oyji2kyMLEJXdCGFoEoqX5ordNymcJvy0XjYjxCCu3cN8WfPzjMQ0BpKV7vByiq0chknomsLT7dIobtSqKbtWkM+4flARPdx+7ZBvvX/t3ffcZJVdcL/P+dWVXd1zt3TPT2hJ8KQEYacEYYkqOwRjBiWRWF1Vx9F/e1Pn5/rrqyP+ujvEd3FjGk4EkQUgSUIApIGhjADTM49nXs6h6o6zx/nVnVVd3WOM/19v17zosK9t07dLvrWt7/nfL/bD5E3zPRhIcSE/Q/g+1rrG4CncMXchlw4prptk7QPSe+wPS+lpTSUVRA6uJfC0lJ6nnmMQ+2HKLzqfWQmvR9bUkJDbj6Z+3cRXr6KVqBw2SoykrY5tLiGvrffSDkP7Xf/DDIyKb3ivXi5+cSuuJaGe+8k86W/krOwmsbH/0j4gstQ4Wx6Hv8TJUVFw64r7N+1jWY/6AttfI7Ciy4fGJ+1tHzlHwkUlVDw2f8v7f5zyWH7eZlmcl7Sm+7zIkHhONmONsjNR61YgwXs1s2gPGIoumOKrJBHvorQaNOv9bLRKPT1JqqMNqswhX212Hp/DaIfLHpKURhO38C+rTfKwvzxBRsVOaEh00d70qwpBOjsi1GStESwsy+eKUyePuo+Otuau/3jDz8ed9x+skfp1VcUDrDvUOpazJ50mcJAPFNoE9NNk6d4LivyeyKOFBQOmj7a1R+lJ2Ip9qehXlBTwC83Nox5PWGc+5lFqevoJ6CgJHti/4uFQy7wTRcUxgPaub6eMNnFywpcUChFZoQYj1FbMhljDuBnCrXWucB7jTGtgw801W2bjuS2KpNxOJ+XWHUNvVs209jYSPQBAyXltFUvQw1uU1Wzip7Nr9K7cCkAh4IZKdvECkuwDQdpqD2ACmVge7qwTz6MOuVsmnv6oMdtq046ne6//JnuugOgFH2Xvhe75Q1sTzeNr7+Cql6afpybXnU3Vqyh94WnaNi3xxUyKGFDAAAgAElEQVTXAeybrxJ742X6i8voPwx+Dofz52U6yXlJbyLnZTwtm2T66Hh1tENunqvaVVwG296E2j305hZicVmcvKCljWECEr9vXyJTaEMU9bVBw0H/8YEefekyZ+CCwvF+uS7LCdHYNShTmAgKXQASzwR2DGpLkS5TGM9Ubm3qGTX4iWcg42vhhlOUFaS1J5KyprE7TaYw4Bdi6YnEaPXPT/IUz+MXZFOdn8HRZcNX/hwoNONeK17gptAPAouygly2spCTKnNGHHO699DSHaG+o5+ynNCQdhJjNdL00WXFYRYXZHDsBCqbzpajyrJ4R1UOx1YcPmMWYg5ItHPSWmfg2jmlVOvWWpdqreO/KL6Eq0QqxLipJSug/gB251Z4+3XUuZe6YjKDt1t+FNTuhb07wPOgaFDmomIhWIt9/I/EnvsL9ve/xvZ0oc5bl3qccy5xM602PIu6+CpUcRmqZjXAyFNID+wFz8N71/XQ14fd+HziqdiDv3M3mhuwPSNUgRdCDCFB4Xh1tEGO6w2nVhyN3f4m9sAeuqpcE9bsUID8kKI9EB5SsAVwU0chsXawOeJR1NsOjfGgcOBLc3FWYMgaO2utP310fBmo4qwgHX0x+qID0yUHpo+6gCqeCewctB6ysy9KOKgIJgU48aBwW1PPqMFPPAOZLsAZPMZIbKAPI/jTR9Nky8JBFxQ2d0eGTPEszQ5x+1XLRsymhjxFQA0Exi1pMo43nrqAj72jYsQxp3sPrT0Rajv6JlR5NC4etGalqdS5uCCT/3PlskQAezhQSvGVCxZx+aqi2R6KEIcNY0wEiLdzetM95No5aa3f5W92PvC21noLUMEcqdQtDj/xYjOxX/8QAgHU2Ren326ZH7hteBYKS4ZM81RLloNS2Lt/jv3Jd7CPPUBwxVFQsyr1QKuOdW0rcvNQ61zPRMorITsXRggK7YE9UF4Fq49zRf+ef8o9vv0teOs1WHG023DQukYhxMgOn2+Vc0VHe+IXIivWwAtPQUcb3WdcCbjAJz8cpK8nRE9vH1nhQeu+/EyhCmfTG4nRFYWivjbsMJnCrU09Kbt39ceI2vE3AE8uXBPvWzhQaMbPFIaGyxTGEs/F5fmZuUO9UZaMsrYtnilMrl460hibuyPk+9M40xWaAVdspjcao6s/Nu4pnuCClHDISwSFzWnWJk5EUVaAqIVdLb2cXzPxxvIjrSkUQswfo7VzMsbcDdw90+MSRyC/2Ay7t7legfnD/BGvZhUozxXZW3XMkKfVgmq8b//Sfd+JxSAWpWj5Kpq7UjN3yvPwPvUliEQSbTCUUlCzcpRM4R6oXoryPNTac7AP34dtayX257shJw9Pf4LYv38OW7t3oKqqEGJU8o1zHKy1A4VmcJlCACIRustcQbjskEdelgu62pqGLOuA7niV0Sxa/SxgUV+7q6TlPx5XGA5yqCdKNDaQcRxv4/q4RN/DnuQsnCWgSGQAE5nCQb0KO/ujKZVHAfKT7o/U+sEdd2yZwnhbieQxpps+Ci5Y6olYWrojE86YhYNeotBMPCM76aDQfw/9MTu5TOEI00eFEEKIqabyCsBvaK/OvXT47cJZUL3E3U5uR5FyrHxU2QJURRWqchFedvqlGKq6BrV0ZepjNath/5600z9tfx80HERVLXbbrj0PYjHs/b+GV19AXXwVLFrqprXW7hvtLQshksg3zvHo6YZoBHL9DNDCxYlpoN1FCwAXFObnugIg7a1taY4xsKYwkZ2K9UD7Ifd45kBQWJzlKpK2Jk0hjQeFE80UJvcB7O5PrQianVhTmDp9tKMvNiTLl5v0+qO1XYhnGYfrUTjSGNMVmgE/UxiJ0dIdTRSHGa+soJcyfTToQd4o2czRJAeVowXLI45thD6FQgghxHRQq46FhUvgqONH3s5vTZHcjmLKxlCzEmwspWdiQu0+91w8KKxe6noePvUwhLNQF1yJCoagrBJ7cO/Q/YUQw5JvnOPR4Qd5flCovAD4U0m78l0fn+yQR35+LgBthzqHHMIm1hTmDLRTCPmZwIzMlLn56bJ77ZPMFCYXrumO2JSgI+gpwkHXwD5ZZ180pchMfNt4oBifjjqc8RSaSR5jNGbpjdoR1xTG20hMRFYoKVPYHXHN5yfZ9y8lKBzlvIw4NskUCiGEmGHqQzfj3fofo18Ll/lBYVIPwynjrz1MN4XUHtgDgKoaKMqrTjvP/ff8y1E57vsXldWSKRRinGRN4Xh0tAOgcgbWiqlTz8X2dNOVkQ20kR0KECzMA9ppa+8aeox4pjAri5Y2F3wVxQO8pPWEkD6Qm2imsCDR9zA5Uzh0amZOhjckU9jZF2VJ4dB1g/mZATr7YqNnCsc4fTQr5BEOqsRUzt5oah/FZOGgx/62PvpjdsJBoZuCOhAUTnbqKAwOCqei0IwEhUIIIWaGyhhb/1t1zEnYFWtQq4+b+jHkFUBpBXZHmnWFB/ZAIAAVA2X21dmXQGM96tJ3DzxWWY19/SVsJIIKylddIcZCvnGORyJTmJd4yDvrIgJf/GZiGmJ2yCOvuBCAtq7eIYdIrCkMZ9PSHcFTkJeTmXgsWXx9WvJ0yvYJBoUBT5GfGUgJCnsiQ6dm5mYE0mQKY0PWFCaPYfQ1hfFM4egft+Q2HPHqqMNNH403iJ9MpjAxfbQnmlJ5dKLCQY+soEdGQKW0yZjIcZL/K4QQQswVKr+QwK23ocorp+f4Natg1zCZwvIqN0U0vm1ePt6HPoXKTSrutmARRKMD7b6EEKOSb5zjYP2g8OnOLJoG9fzr6h/IauXmZuPZGG1pegzS3QlKQWaYlp4IBeEgwXiQOSRT6IKKwZnCgBpbgDXY4L6H6do95IRSp49GY5bO/qFrCgHyMgJkBhQFowQ/8UzhmILCsKu4+pvXGrhnUxMwXKZQEa+/Ez9P4xUOeonAMz59dCoUZQUpzwlNaiqqTB8VQggxby1bBc2N2Nbm1McP7IGkqaPDUZX+NrWyrlCIsZKc+nh0tLE7ZwHfer2b62jl+uMH5tJ398fIDKhEv76caC/tkejQY/R0QzgbpRQt3RGKswIQLXDPZaVmCkMBj7wMLyWQ29LUTUXuxAKO4qxgSt/D7v4Y+YOmOOZmBmjo7E/ZBkibKTy6PJtQwBt1LFV5GSzIDVFTFB51jEeXZXHP5mbuet0FhBkBRXWafoOZSX0JJ5wp9AvN9Ectbb1TkykEOGFBNqHA5NYmLi3KpDwnRFXexNclCiGEEIcjtXQVFly/wpNOB8D29kJjHer080c/QKWrCG9r96I4I/GwfelpbF8f6owLhv3uYnt74MBebONBlOdBMANCIVhU46a2CnGEkqBwPDraeLRyLQBNXalZwK7+aEomLN/20hZN8wunuyvRdsIFhUHw/F8ygzKF4Gf3/ECurqOP1w52cf3xpRMaflFWkJ0tA1Na000fzQl57ExqHh/vWZiTJmN17TElY3rdvMwA/3X12HoFffikcj580ujVzJLHPdFgLl5opnWK2lHE3bR2waSPsaggkx9dI/2VhBBCzEOLl0EggN25BeUHhRzcB9Ym2lGMRIWzoajU7eOzkX5id97uZmxteQM+8ElUyP1h3LY2YR9Yj928ERrrBvZJPmhmFuoKjbr4XYn9xsO2H8I+9TDqkndPaH8hppsEhePQ39HBkwtOA1LbRICbPpqVVF0zT0Vojw3NrtmersTawZbuCMuKw5DhgkKVJigsTJry+ej2QyjgomUT+0tVYThIa0+EaMwS8BTdw60p7B8oNNM5QqZwNsXHnRFQEy7GEg4qeqM2qXH93HqPQgghxHykMjKhugb72ovYqz+ACgQSlUcZQ1AIQGU1NrkC6eaNLiA8YS32mUextXvxPvbP2Of+gn3kPohF4YS1qLMuQlUtgfh6yf5+6Oki9tgD2Ht/gX36Ebzr/h513Cnjek/2979yrTNyclHnXz6ufYWYCRIUjsPzPTl0ZGeTk+HR3J06NbR70Lq7/ICljjR/CerugqxsojHLIX/KolL57q9RaYLC4nCQzQ1dRGOWx3cc4sTKHMom2P+uOCtIzLpiNYVZwWGrj3b1xxKBYyJTOMeCwsygy8K68zexqZrx917b3gdMXaZQCCGEEJOjLn0P9o5vYh++F3X53/mVR4NQXjX6zrh1hfbpR7HWopTCvvQ0ZOfg3XQrvPYisZ9+l9i/3OS2PeVs1Hs+jCobfqZP4OgTsG+8TOyuHxP7/7+G98VvDvRrHIVtOIh95lFQCvvne7BnvzOlWM6YjmEtvPo8sUd+jzrhNLykaqtCTAX5FjwOj3nVlEY6OH5ZFRtrU9tNdPalBlh5IcW2vjA2FnX9DON6uiEnl7beKDHrByKh+PTR1DWFEC8OE+XVg500dkX42MkTbxSbKFzTEyEvM0Bfmh6A8YxgV3+MvMyBSqS5k2zqPtXimcLJBHLxYxyQoFAIIYSYU7xTzya24RnsH36LPf5UlymsqBp7i4kFC6G3G1oasXmF2I3Po046wwVjJ5+JV16FffQPqHMuGXNwp449GW/Ft4l9/gbskw+NPSj8kwHloT70Seyd38f+7QnUOZeMbV9r4ZW/EXvgLti3E4JB7O5t2DMuQOUXjukYQozF3PqmP0fYvl5ij9xH35uvJR6r7+jn1cxKLozupTgrlJiGGdfdH0tdUxgO0B7KxrYfSj14dxfKb0cBfiASL6M8zJrC/pjl/jebycsMsLY6d8LvK7nvYbw/XziUmmWLZwTjGcJ4z8K5lymcuqCwtr0fBVNWfVQIIYQQk6c+cBNk5xD72Xdh364xrSdM7JuoQLoPNr/ivn+dcvbA89VL8W749JgDu8R+4SzU2vOwG57GdnWMur2tP4D92+Oo89ahzn4nLFmB/fPd2GiaYoTpvPwssR/eBn29qI/+E97/+13oj2Afvndc404ZU+0+Yr/8ATbSP/rGYt6QoDCdQBB736/ofeGviYce3+GCu4uCTQPTMJNaNwwpNJOVQb8Xoqe1NfXYPW76aGIdWzgIhSVQsRC1aNmQocSDno0Huzi/Jp9QYOI/suS+h/GgMCuYGuzFp8B2+sFgZ2L66Nz6qIT96aNFk+gFmDx9ND8zQNCbXMVQIYQQQkwdlVeA98FPwp4d0Nww9vWEAJXVgKtA6qaO5sLRx0/NuM69BPr6sM8/Oeq29o93QTCIuuxalFJ4V74PGg6OaV8A+/oGyMnD+9rteGdeiKpajDrtPOxfHsS2tUxo/Pbp/8Y+9RC89droG4t5Y259058jVCAACxYS2bsTgJi1PLqjleNat1Gem5G2f2BXJLXQTH6Oa7/Q1tyWevDuLghnJVW8DKBCIQJf/yHqhFOHjCW5+Mk7l09umkBypjDetD0eXMXlhoZmCj3FhIu5TJepmD4af08H2voolKmjQgghxJyjTj4TtfY8d3s8QWFeoQsE9+zwp46ePu51fMOOackKWLwc+9TDbnrnMOzB/djnnkSdfzmqoMg9eMJaV0Tnwd+NKVtot26ClWvcd9P461+h/WzhfRMav926yf33lecntL84Ms2tb/pzhLWW+xZfgOkq4Z5NTfx0Qz0NnREurn0BcvNTgqv49t39MbKTAqe8/BwA2g4NTC2wsSj09kA4KVM4SjASf35lSZglhZmTel+ZQY+ckEdLTzTRfzBdoRmAJ3Yc4p5NTbxR10VOaPRehDNtKqePdvbHZD2hEEIIMUep9/8D6sr3wbEnj30fpVwF0peehp7ulKmjUzKmcy+Ffbtg19Zht7F/ugtCIdSl70kZl3fl+6BuP93/ff/IQWVrE9TXolYek/raCxaiTp9YttD2dMOe7e72qy9gY7FR9hDzhQSFaVjglxlHc2fFOdy5sYEH3m6hLKxY27jJBYVJ0zABeqOWmCV1+mhhHgDtHd0DB+7xb2e5NYU5GR4Zo0wHLcsOUZId5OqjiqfkvRX5LS4SawoHZQBLc0LkZHj8ZVcbd25s4K3GbpaOoen8TFuQG6IgHGBF8cTHlhwQF0s7CiGEEGJOUjm5eFd/AJU5vmu+qlwE/X2QkwdHTc3U0cSx154LGZmuzUQatqcL+9IzqLMuHloQ5qTTYelK2v/rW8S+8Xnsy8+mDc7sFpfRU6uPHfr6V7xvYtnCHW9DNIo67Tw41Ay7t41vf3HEkvRIGgq4a3ULsR/9L7wv3IZasoLA7i2ohyKovIFMYavflqLLz7plZyRnCnOBBto6ewYO3O0HheEsWrojieByJJlBj5++e8WUvC8Y6HvY0+/+MjU4U5ibEeCX711JJKmITigwt7KEACXZIe5878pJHSM5IB7Lz0IIIYQQhxF/XaE6+YyxVy0dI5WVjVp7LvbFv2L1x1FZqRXk7WsvQaQfdeo5Q/f1PLwvfIOc116g/Z47XSGZhUvwvvANVHZSQcGtm1wRwuqaoceoqBrIFl6uUTljK0Rot25ylVDf/SE39o3Po2pWje/NiyOSZArTUEqRWb2IzFiEjLp9ZAY9Ap3t7smcvMQ0zGZ/XWCXv/4uO2lNYYEfZLQlN7nvcW0sVHYOLd2uR+FMKw4HU9YUplsrGPAUmUEv8c+bY1NHp0rye5fpo0IIIcSRRS1e7v679tzpOf45l0BvD/aFp4Y8Z19+FgqKYJjqpiqUQfal1+B9/YeoGz4D+3dj//aX1GNs2QQrjk5ZT5hyjLMuhr4+l/0bI7t1Myxehioph5XHYF95bsz7iiPbjH0T1lqvA74HBIAfG2NuG/T8TcDNQBToAG40xmzWWi8F3gTin/jnjDE3TfuAyyohGILavQDYDj8o9NtHxDNukJQpTMq65WR4eDZGW1/SdIBuv7dhOJuWnghHlQ5tQTHdirICLijsj7ekmL9/F0h+7xIUCiGEEEeY1cfh/esPUAuqp+f4Natc0ZjHHsCecwnKc98rbG8vvL4BdeaFiceGo7wA6qyLiD7xJ+zTj2AvvAKlFLa9DQ7scdM8h7NkBSgPu+Nt1HHvGHW4tr8fdryNOu8y99onnoa968fY+gOo8qqxv29xRJqRiEBrHQBuBy4D1gDXa63XDNrsN8aY44wxJwLfBL6T9Nx2Y8yJ/r/pDwhxFUiDCxe7ZqkAHX4VUT8oLMoK0jooKEyeiukpRa7toz0pURjPFNpMf/roLAQihVlBeqM2EdAOXlM4nwQ9RchvQyFBoRBCCHFkUUpNX0AYP/6l17gEwusvDTyxaYPrK3jymWM/1tkXu8I18TV+foVQtWroesLEPuEsqFqE3TnGTOHurdDfh1rpvoKrE08DwG6UKqRi5qaPrgW2GWN2GGP6gPXA1ckbGGOSezfk4Oq9zKrAoqWJTCEdbRAIgD9nvDgcTBSa6U6TKQTIUxHaowOPWT9T2BnKoi9qU9pNzJT4lNUD7X3A3Gs1MdPigfxsTOUVQgghxOFNnXIOlJQT+/PdiUqidsOzkJsHIwR0Q46z9lwIZWCf/m93jK2bIJQBS0euK6GWrYadW8dURdRu3exuxIPC0gqX6ZTWFID7ucX+8z9mexizZqYigoXA3qT7+/zHUmitb9Zab8dlCj+d9FSN1voVrfWTWuuhK3anSbC6Bhrr3DSAjjbIzU+0ZohPw7TW0tUfX1OYejrzg9BGBrbTb0vhB4WtyrWWmI3iJkVJQWFGQBGY5w3b45nSQik0I4QQQohxUsEg6tJ3w/a3YOtmbH8/9rUXUSedMexawLTHyc5FveMs7AtPYXt73XrCZatH761Yswq6OqD+wKivYbdsgspFqLyCgdc98TTY/ha2/dCYx3qkij18L3bDM1h/Zt+UHPPZx4n+8BtTdrzpNKe+CRtjbgdu11q/H/gX4CNALbDYGNOktX4H8Hut9TGDMotorW8EbvSPQ2lp6aTH0790BZ3WUtjTQWdfL5H8wsRxF5b20PtWC9n5RXiZ/QBUV5RRkDXwP29JSSF7D7WTt2874bMuojOg6ACi+aVAK0sXlFBaOrmG9OO1TGUDeznYESE7IzCh8xQMBqfk/M4FueE9tPfFWFRZPqnjHEnnZCrJeUlPzkt6cl6EEIcjdebF2AfWE3voHrzzLnN9EU8+Y/zHOfud2OeecNnCvTtdb8bR9lm2GgvYHVtGnCprY1HY/ibq1NSiO+qk07B/XO8C2bMuHveYjxS2qR52bnF3mhuhavHUHPj1l+Dlv2H7elEZk+s3Pt1mKijcDyxKul/tPzac9cAPAYwxvUCvf3uDn0lcBbyUvIMx5g7gDv+ubWxsnPSgC/0PRMubr2FbGiErh/hxM2O9AGzbX09Di4tPu9tb6e8cyLxl5WXTlpFL2zNP0LH6BGKNjaAUu5pd5tDr66SxMXnR4QzodVnN9t4IFbkhJnKeSktLJ7TfXBRSlqKwN+n3cySdk6kk5yU9OS/pTfS8VFVJgQQhxOxRmZmoi67C/v5XxDraICtnYn0RVx0D5ZXY+38FNoZadczo+1RWQ2aWC2jOvHD47fbtcjPWBh9z0TIoLIFNr8B8Dgo3PDNwp7lhyoJC21TvbjQ1JFqkzFUzNX30RWCl1rpGa50BXAf8IXkDrXVy07krgK3+42V+oRq01suAlcCOmRh0oLIaAkE4sAfa2xJFZmBgGmZLd4TO/hgZAUVw0FTMgnCItlAOkTdednO9e7ognEWrH5jNRnGT3AwvUVxlPheZiVtckMGK4pmvAiuEEEKII4c6//JEcKZOXDv6tM90x1AKdfY7XfAWCELN6tH38QJQsxI7SlsKu8UvXLMytc6jUgq14uhR9z/S2ZeegcJid7u5YeoOHA8KGw9O3TGnyYxEBcaYCHAL8DCuvYQxxmzSWn9Na/0uf7NbtNabtNYbgc/ipo4CnAu85j9+N3CTMaZ5JsatgkGoqMIe2AsdbajkoNBfg9bst3cYvJ4QoDwnRFR5NPcBu7e7/8nD2bR0R8kIKHJmoR2EUipR4Ga+F5kBuOX0Sj53tmQZhBBCCDFxKicXdf46d3scVUeHHOeMC8HzoGYlKnNs0w1VzSrYvwvb1zvsNnbrJiitQBWXDX1y2Wpoqse2zsjX6wmx1hK7907s9rem5Fgp9/2po+r8y925b5qamTy2rxfaWt3txropOeZ0mrFUlTHmQeDBQY99Jen2Z4bZ7x7gnukd3fBU5SLsnu3Q2e4qSfmSM4Vd/dG0QWFFrvsrUX1WMeWvv+QWroYH2lGoWWoKX5QVpL4zMq97FAohhBBCTCV1uYaiMjjulIkfo7AYdd3fo8oWjH2fZauw0Sjs2Q4rBnd8A1u7Fza9gjrlrGH2d+sS2fEWTCKgnVa7tmH/fDd211YCn/3XCR8m9tdHsA/dg/eF21AFRcDA1FF16jnYpx5200enQvJxGsaXKbSxqMsCzyCJCkZTtdj9IGOxlOmj8WmYrT0RuvpjZIWG/uDiQWHdojXYNzZAdzdkZdPSHZnVapfx184Kzu/Ko0IIIYQQU0Vl5+BddOW4qo6m411wBerY0ZvRJ/jTTNNNAbWdHcS+/3XIyES96/3p91+8HIJB7Pa5O4XUPvuYu/HWawPr9CZiyxtQX0vsR99yxXfwp44uXo4qr4TisqmbPto0cJzxZgrt735G9Ms3DslqTicJCkehqpLq4yQFhfFpmCNNHy3NDqGA+qpVsGsrNNRCOJvm7gjFs9CjMC7eky9LMoVCCCGEEIc1VVAEJeWwY0vK4zYaJXbHN6GpAe9TX0o/dRRQoRAsWYHdMfmpmeCmZ9r9u7G9PVNzvP4+7AtPuv6K1mL/9sTEj1V3ALJz4O3XsX/4rQvWdm5BnXI2gDtHLVM0fbTJDwQXLoGGcQaFdQcgnDWjswolKhhN5UD1oeQ1heAybm76aPqgMBRQlGQHqc+vBGtdxjEri9aeyKwUmYmLv7YUmhFCCCGEOPypmlXYnYOCwrt/Dps3oj74SVSaaaWp+6+G3duxkf4Jj8E2NxB78HfEvnIzsf/5j8T+65tTkumyG1+Ark68K98Hq4/DPvvYxI9bX4s69RzUWRdj/2SI/dY1LkhMrS0pheZGVyByspoawPNccZ+muvGNuW4/qmJIS/dpJVHBaCoqIT4NYFBQWJQ1EBQOl3WryA1RRxjyXT/C/nAuHX2xWWlcHydBoRBCCCHEEaRmFTQ3YFubsT3dxNb/CPvo/aiLrsI7+52j7q6Wr4b+Pti7a1wva63Fvv0G0e9/ndgXP4G975eQm4864wJ4/SXsi3+d4BtKeo1nH4OiUjjqeNSZF7oky7Y3B56PRYn9cT12386Rj9PR5mqElFehrv8Hl8F77UVYsmJgDWdxGUQjiQIxk9JY78ZdXuWKTXa2j2k3G+mHxjq33wySqGAUKhga+KEkFZoBNw2zpSdKd3902EqiFbkh6jv6Uce5ueGt4QJgdtpRxMUDUpk+KoQQQghx+FPL/HWFD91D7Ku3YB97AHX+5ai/+9jYDrDsKLf/OKaQ2o3PE/v6Z4l968uw/S3U5X+H92//ReDW21A3fBqWrsSu/xF2UDBk6w5ge4evlJqybWuTK5JzxgUoL+Aqu2aGB9YYAvbeO7H3/wb75EMjH6zuAACqogqVmYl3062QneMqvvoSU2ynYF2hba6HknJUWYV7YKzrChvrXC2TipkNCmcvMjmcVC6C2r1pM4XtvVE8RdpCMwAVORk0d7cROeYUAs88RnNmPnTNclAYX1MomUIhhJjTtNbrgO8BAeDHxpjbBj2/GPgFUOhv80W/2rcQYj5ZvAwCAexjD0DlIrxbbxt1ymgyVVzqslrb34KLrhp1e7t1M7EffAMqKlEfuhl1+vmojIEWGsoL4H34FmJf/2fs736KuuEz2Eg/9ve/wj7ye9S5l6I++KnRX+e5v4CNoc68yB03nIV6x1nYl57GXncj9uVnsQ/fB8rD7ts18rHqa90NP9mjFlTjfetOCCZ9J08OCpeN3idyRI31qKNPgFIXFNqGOtTSgbbstrUJmhsTAX1CnRunmuGgUKKCMVCrjnX/o4RTm5zHg7x5CfwAABV3SURBVKuYJe2aQoDy3BAWqF98DOTk0ZrnPmzFsxgULsgNkRX0qMrLmLUxCCGEGJnWOgDcDlwGrAGu11oP/pb3L7jevycB1wE/mNlRCiHmApWRibrqetR7Poz3le+OKyBMWLZqTE3sbXcXsZ98B0rL8f6fb+Ode2lKQJgY06Ia1KXvwT7zGLEnHyL2jc+7AK6gCPvCX7H9fSO/jrXYZx+HFUenBEjqzIugpxt7353YO78Pq49DnfNO2Ldr5HV79QdAeRDP3OGK7KQUc/GDwslWILWRfjjU7AoAlabPFNp77iT2v7+SqIKaeLxuv7uxQNYUzjnqgsvx/v2OIRWAktcFDhcUJnoVRoN43/o5LYtcer5wFoPC3MwAv/q7lZxclTNrYxBCCDGqtcA2Y8wOY0wfsB64etA2FohPYykADszg+IQQc4h3hca77Fq39GkC1LKjxtTE3q7/ETQ34n38s6hw9sjHvPJ9UF6J/dUPoLkB7+Yv4330n6C7E159YeQB7dwCtXsTWcKElWugtMJlRQuL8f7hVliyHHq6R56iWXcASspGPD8qOweysqF5khVIW5pckcnScneOcvOhMbVXod26yY3ZzwymjDM3D5WTumxtuklQOAbK81DBoUFc8hTQkQrNANR19KOCIVp73HTTgszZa0kBEPTUjJa5FUIIMW4Lgb1J9/f5jyX7n8AHtdb7gAeBf5yZoQkhjjRquUtcMEK20L78LPbZx1CXXzuw/UjHzMjEu/HzqPPW4X31/6BOPB2OOg4KS4iN0lrCPvZHyAyj3nFW6jE9D3XhlZCdi3fLv6Dy8lELl7on9+8a/nj1tWMr3lJchm2a5JpCPzhNrFEsW5DSq9C2NoHfb9Hu2Z46zrr9M15kBmRN4aQUJfUaHC5TWJwVJOgp6jtdid/m7ggFmQECngRkQgghJu164OfGmG9rrc8Afqm1PtYYk1JPXWt9I3AjgDGG0tLSSb1oMBic9DGORHJe0pPzkt5cOy+2YC31wRDh2j3klV5F3+sbaP/Jd4l1dxFcuJhA1WJ6nnqE4IqjKL7hlrQJk7RKS+Edp6c81H7BOrruX09x0MMrLE55LhgMUtjdQdOLT5F9zQfIW7xk6DGv/zj22g+7HotALOdkGpQiq6me3DTn1FpLQ0Mt4TUnkD/KOW9ZUEWspZmSSfxsuvu6aQOKVh5FsLSU1oWLiGx7K/Hz7nn7NQ7522Y11JKX9FoNjQfJOO4UCga9/nR/XiQonITCcBCFm7uTPUyhGU8pynOC1HW4oLC1e3Z7FAohhDhs7AcWJd2v9h9L9nFgHYAx5m9a6zBQCtQnb2SMuQO4w79rGxsnNzWqtLSUyR7jSCTnJT05L+nNyfOyqIauV56nu6kB+9dHoGwBaulK+ur2w6aN4HnEPvJpmlon17LBnnA63PdrGh++H29QYZvS0lKaf/WfkJFJzznr6B3rOSpbQOeWzfSk2d62tWK7OunJL6JvlOPFcgqwb2+a1M8mtmsHKEULHqqxkVheEbbhIA31dSgvQOyV5yEjA8oX0vX2G4n3aHt7iDU10FtYMuT1J/J5qaoae8ZRopNJCHiK/HCAQz3RYTOFAOW5GYmgsGWWG9cLIYQ4bLwIrNRa1+CCweuA9w/aZg9wEfBzrfXRQBiYfC11IcS8pJYfhX30D9g9O1CXvht11ftRma6IjLUWIpFEdm5Sr7NwCSxehv3bE0OqnUb27sS++FfUuveg8vKHOUIa1TUwXAXS+oF2FKMqLoWONmxvb+K9j8S+9iJ20yt419848GBTPRSWDKxfLK2AaNStNSwpx257E5auQlVUYTc8i7XWLeuqn53KoyBrCictXkV0pKCwIidEXWL6aFSCQiGEEKMyxkSAW4CHgTfdQ2aT1vprWut3+Zt9Dvh7rfWrwG+BG4wxI5TfE0KI4akzL4KTTsf78v/Cu/ajKUGRUmpKAsLE8c64AHZvwx7Yk/J4h/kZZIRR73z3+I5XvRQaarG9PUOes/FiLmMJtkr8dYAtY/v7WuxPBvv4H7F1A3W+bFP9wHEAVbbA3Wisc+PbuwO14mhYvBy6Ogb6IsYrj1bMbOVRkEzhpBWGg0DvyEFhboj23igdfVEO9URSqpYKIYQQw/F7Dj446LGvJN3eDJw1eD8hhJgItaiGwKe+PDOvtfZc7O9+hn3uCdR7PgKA3b+H3mceQ6177/iyhLig0FoL+3cP7TFYfwACASipSL9z8nGKy7DgArUF1SNua5vqE4V57MbnUZf6gWxTvQv64hK9Cg+irIVYzD2fk+dea/d2l0GMB5bllaO/4Skm0ckkJRrBjxIUAmxr6iFmZ7dxvRBCCCGEELNN5RfBMSdjn3yYWEsT5BZgd21BZWahLrlm/AesXgqA3bcrTUP4A1BSgQqMofp/vFdhUwOjlYW0G55xNwpLsBufh0vfjY1GoaXR9SiMKyoFz3OZwkMt7rFlR0EwBMrD7t2BOvkMlyksLEFlhkcf5xST6GSSlhZmUpIdJBQYPSh8q7EbSK1aKoQQQgghxHzkrXsvsbt/ht26GTraoLeH7Os+QU/u+LKEgAvCwlmwb+eQp2z9gbFNHQUoLAGlxtSr0L70DCxZgTr+FOwf78K2tUJ/P8RiqdNHg0EXGDbUYbs6oHIRKifXPVlZjd293R9n7djHOcUkKJykK1cXsW5l4YjbVOT4QWFDPCiU0y6EEEIIIeY3teoYAl/+VuK+7e8nt7IybQXRUY/lebBwCXZQsRlrLdTXolYdO7bjBINQUDywzm8YtrEOdm5BXXsD6ugTsA+sx772Isqf+qkGT1UtW4BtqIW6/Sm9F9XiZdi3XnN36vajTp6dFQFSaGaSAp4iMzjyaczLDBAOemzxM4XFEhQKIYQQQgiRYrKFbNSiGti32wWCcYdaoLdnfBm4kjJsUlBo336d2L2/cFND44/5U0fVO86CRctc0/uNzw80vk/KFAKo0grYtQ26OiF5veGiZdDajK3dCx3ts5YplKBwBiilqMgN0dnvegkXSqEZIYQQQgghptbCpdDdmZrli7ejKB97sKWKyxLHsF2dxH70Leyf78Hee2diG/vi07B0Jaq0wlVmPfE02LwRav1qqsWpQSGlFWBdLJBchEYtWe4f76/uvgSFR7b4usKckDdqZlEIIYQQQggxPmpRjbuRNIV0QhU9i0uhuREbi2Hv/zW0tcLxp2IfuY/Yc39xa/92b0OdcvbAa594GvT3YZ99AvILURmDehz6FUjJK4CypLH4Y7YvPu3uS1B4ZIuvK5T1hEIIIYQQQkyDhYsBUtcV1tdCMDhkOueIissg0g+bXsE+8SDq/MvwPvklWHUs9s7vY3//KwDUKUnr/1YeA9k5cKg5tfKoL9GrcMXRrlF9/PHsXBcwHtznKpSWjt42YzpIUDhD4pnCQgkKhRBCCCGEmHIqnA1lC2DvQAVSW38AShegvLFX/1f+1M/Yz74Lefmoaz6ICgbxbroV8grcVM+aVaik4E8Fg6jjTnG30wSFVFRBIIg66vihzy12U0gprUAFJ7eucqIkKJwh5X5QWCzrCYUQQgghhJge1Uuxu7Zid2/HdnW6HoXjnZIZXw/YfgilP+6yeYDKK8C7+cuQnYM6b92Q3dSJp7kb6TKFOXl4X/s+6rzLhj63eJm7UbFwfOOcQhKhzJCB6aPSo1AIIYQQQojpoJYfhX3lOWJf/+eBx9acOL6DxKeaHn0Cau25qcdfvBzv2790rSsGO/ZkWFCNWnlM+rENU+xGLV6OZfaKzIAEhTNmQV4GWUGP6oLM0TcWQgghhBBCjJt65zWoNSdBQy224SA0N6LOuWR8x8jJQ934BdSqY1LW/yWeTxcQ4qavBv71B+Mf9NIVkJEBfiXS2TBjQaHWeh3wPSAA/NgYc9ug528CbgaiQAdwozFms//cl4CP+8992hjz8EyNe6qEgx53XLOcnJDM2BVCCCGEEGI6KM9zFT0X1TA0nBs779SzR99oiqi8ArzbfgI5eTP2moPNSISitQ4AtwOXAWuA67XWawZt9htjzHHGmBOBbwLf8fddA1wHHAOsA37gH++wk58ZIOBN5uMphBBCCCGEONKovAIX0M6SmXrltcA2Y8wOY0wfsB64OnkDY0xb0t0cwPq3rwbWG2N6jTE7gW3+8YQQQgghhBBCTNJMTR9dCOxNur8POG3wRlrrm4HPAhnAhUn7Pjdo39krzSOEEEIIIYQQR5A5VWjGGHM7cLvW+v3AvwAfGeu+WusbgRv941BaWjrp8QSDwSk5zpFGzstQck7Sk/OSnpyX9OS8CCGEELNjpoLC/cCipPvV/mPDWQ/8cDz7GmPuAO7w79rGxsYJDzautLSUqTjOkUbOy1ByTtKT85KenJf0Jnpeqqpmr4S3EEIIcSSYqaDwRWCl1roGF9BdB7w/eQOt9UpjzFb/7hVA/PYfgN9orb8DVAErgRdmZNRCCCGEEEIIcYSbkUIzxpgIcAvwMPCme8hs0lp/TWv9Ln+zW7TWm7TWG3HrCj/i77sJMMBm4CHgZmNMdCbGLYQQQgghhBBHuhlbU2iMeRB4cNBjX0m6/ZkR9v034N+mb3RCCCGEEEIIMT9JJ3UhhBBCCCGEmMckKBRCCCGEEEKIeUyCQiGEEEIIIYSYx5S1drbHMB2OyDclhBBiWGq2B3AYkWukEELMH2O6Ph6pmUI1Ff+01hum6lhH0j85L3JO5LzIeZmD50WM3Wz/rI7Yf3Je5LzIeZHzMgfPy5gcqUGhEEIIIYQQQogxkKBQCCGEEEIIIeYxCQpHdsdsD2COkvMylJyT9OS8pCfnJT05L4cP+VmlJ+clPTkv6cl5SU/OS3rTel6O1EIzQgghhBBCCCHGQDKFQgghhBBCCDGPBWd7AHOR1nod8D0gAPzYGHPbLA9pVmitFwF3AhW4EuZ3GGO+p7UuBu4ClgK7AG2MaZmtcc4WrXUAeAnYb4y5UmtdA6wHSoANwIeMMX2zOcaZprUuBH4MHIv7zHwMeJt5/nnRWv8z8AncOXkd+ChQyTz7vGitfwpcCdQbY471H0v7+0RrrXC/hy8HuoAbjDEvz8a4RSq5RjpyjRyeXB+HkutjenJ9dObC9VEyhYP4v8huBy4D1gDXa63XzO6oZk0E+JwxZg1wOnCzfy6+CDxmjFkJPObfn48+A7yZdP8/gP9tjFkBtAAfn5VRza7vAQ8ZY44CTsCdn3n9edFaLwQ+DZzi/6IPANcxPz8vPwfWDXpsuM/HZcBK/9+NwA9naIxiBHKNTCHXyOHJ9XEouT4OItfHFD9nlq+PEhQOtRbYZozZ4f9VYj1w9SyPaVYYY2rjf3kwxrTjfoEtxJ2PX/ib/QK4ZnZGOHu01tXAFbi/+uH/1eZC4G5/k3l3XrTWBcC5wE8AjDF9xphW5PMCblZGltY6CGQDtczDz4sx5imgedDDw30+rgbuNMZYY8xzQKHWunJmRipGINdIn1wj05Pr41ByfRyRXB+ZG9dHmT461EJgb9L9fcBpszSWOUNrvRQ4CXgeqDDG1PpPHcRNnZlvvgt8Acjz75cArcaYiH9/H+6zNJ/UAA3Az7TWJ+CmfHyGef55Mcbs11p/C9gDdAOP4M7NfP+8xA33+Uj3u3gh7guDmD1yjUxDrpEp5Po4lFwf05Dr46hm9PoomUIxKq11LnAP8E/GmLbk54wxFjcPfN7QWsfnfG+Y7bHMMUHgZOCHxpiTgE4GTYWZp5+XItxf9WqAKiCHoVNEBPPz8yEOf3KNHCDXx2HJ9TENuT6O3Ux8PiQoHGo/sCjpfrX/2LyktQ7hLna/Nsbc6z9cF09T+/+tn63xzZKzgHdprXfhpk5diFsrUOhPf4D5+bnZB+wzxjzv378bdxGc75+Xi4GdxpgGY0w/cC/uMzTfPy9xw30+5Hfx3CQ/lyRyjRxCro/pyfUxPbk+jmxGr48SFA71IrBSa12jtc7ALXj9wyyPaVb46wB+ArxpjPlO0lN/AD7i3/4IcP9Mj202GWO+ZIypNsYsxX0+HjfGfAB4ArjW32w+npeDwF6t9Wr/oYuAzczzzwtuWszpWuts//+p+HmZ15+XJMN9Pv4AfFhrrbTWpwOHkqbRiNkj10ifXCOHkutjenJ9HJZcH0c2o9dHWVM4iDEmorW+BXgYVwXpp8aYTbM8rNlyFvAh4HWt9Ub/sS8DtwFGa/1xYDegZ2l8c82twHqt9deBV/AXlM8z/wj82v+yuANXWtpjHn9ejDHPa63vBl7GVSt8BbgD+BPz7POitf4tcD5QqrXeB3yV4X+fPIgrt70NV3L7ozM+YDGEXCNTyDVy7OT6KNfHIeT6OGAuXB+VtfNq+rIQQgghhBBCiCQyfVQIIYQQQggh5jEJCoUQQgghhBBiHpOgUAghhBBCCCHmMQkKhRBCCCGEEGIek6BQCCGEEEIIIeYxCQqFmKe01lZrvWK2xyGEEELMJXJ9FPOR9CkUYo7QWu8CKoBo0sM/N8bcMjsjEkIIIWafXB+FmH4SFAoxt1xljHl0tgchhBBCzDFyfRRiGklQKMQcp7W+Afh74BXgQ0AtcLMx5jH/+SrgP4GzgWbgP4wxP/KfCwC3Ah8HyoEtwDXGmL3+4S/WWv8ZKAN+DdxijLEz9NaEEEKICZProxBTR9YUCnF4OA3YDpQCXwXu1VoX+8+tB/YBVcC1wL9rrS/0n/sscD1wOZAPfAzoSjrulcCpwPGABi6d3rchhBBCTCm5PgoxBSRTKMTc8nutdSTp/ueBfqAe+K7/V8q7tNafA67QWv8FOAu4whjTA2zUWv8Y+DDwOPAJ4AvGmLf947066PVuM8a0Aq1a6yeAE4GHpum9CSGEEBMl10chppEEhULMLdcMXjPhT4/ZP2jaym7cXz6rgGZjTPug507xby/C/QV1OAeTbncBuRMctxBCCDGd5PooxDSS6aNCHB4Waq1V0v3FwAH/X7HWOm/Qc/v923uB5TMzRCGEEGLGyfVRiCkgmUIhDg/lwKe11j8ArgGOBh40xjRprZ8FvqG1/h/AKtyi+Q/4+/0Y+Fet9WZgG3Ac7q+qTTP+DoQQQoipJ9dHIaaABIVCzC0PaK2T+zD9N3A/8DywEmgE6oBrky5c1+Oqqx0AWoCvJk2x+Q6QCTyCW4T/FvDu6X4TQgghxBST66MQ00hZK9V1hZjL/DUTnzDGnD3bYxFCCCHmCrk+CjF1ZE2hEEIIIYQQQsxjEhQKIYQQQgghxDwm00eFEEIIIYQQYh6TTKEQQgghhBBCzGMSFAohhBBCCCHEPCZBoRBCCCGEEELMYxIUCiGEEEIIIcQ8JkGhEEIIIYQQQsxjEhQKIYQQQgghxDz2fwHQRaj8KePhFwAAAABJRU5ErkJggg==\n", - "text/plain": [ - "<Figure size 1080x360 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "epochs = 100\n", - "batch_size = 32\n", - "validation_split=0.25\n", - "lr = 0.0001\n", - "\n", - "# Configures the model for training\n", - "model_ADAM = linear_classifier(input_size, num_classes, optimizer=\"Adam\", lr=lr)\n", - "\n", - "# Trains the model for a given number of epochs (iterations on a dataset)\n", - "history_ADAM = model_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", - " epochs=epochs, batch_size=batch_size, verbose=0)\n", - "\n", - "# Returns the loss value & metrics values for the model in train and test mode.\n", - "eval_ADAM = model_ADAM.evaluate(X_train,Y_train)\n", - "print(\"Train loss: \", eval_ADAM[0], \"\\t Train accuracy: \", eval_ADAM[1])\n", - "eval_ADAM = model_ADAM.evaluate(X_test,Y_test)\n", - "print(\"Test loss: \", eval_ADAM[0], \"\\t Test accuracy: \", eval_ADAM[1])\n", - "\n", - "# Generate loss & accuracy plots for training & validation\n", - "visualization(history_ADAM)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Conclusion**:\n", - "\n", - "We build and train a linear classifier in Keras using the SGD and Adam optimizer when the shapes are allowed to move within the images and change dimensions. We obtain the following results:\n", - "\n", - "\n", - "|Loss|Train|Test|\n", - "|:-:|:-:|:-:|\n", - "|SGD optimizer (linear_classifier)|1.020|1.718|\n", - "|Adam optimizer (linear_classifier)|0.806|0.910|\n", - "\n", - "|Accuracy|Train|Test|\n", - "|:-:|:-:|:-:|\n", - "|SGD optimizer (linear_classifier)|0.49|0.43|\n", - "|Adam optimizer (linear_classifier)|0.60|0.55|\n", - "\n", - "\n", - "Results are better using Adam optimizer than using SGD optimizer. However, the values of the loss and accuracy functions on this train and test set when using our linear classifier are not satisfactory even if we take a small value of rate learning (from $0.001$ to $0.0001$). \n", - "\n", - "Indeed, with the SGD optimizer, the loss and accuracy curves on the test set fluctuate a lot without converging. With the Adam optimizer, the loss and accuracy curves on the test set converge but not with the same convergence speed as those on the train set. Our model so is in overfitting situation.\n", - "\n", - "Then our linear model is not adapted to this task and we need change model." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "#### Q3: Train a convolutional (not-to-)deep network on this new dataset. What is the value of the loss function on this test set when using your deep network?" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "# Define the input size \n", - "input_size = IMAGE_SIZE # 72\n", - "\n", - "# Generate training and test sets (2x 300 samples with noise and with move)\n", - "X_train = X_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", - "X_train = X_train.astype('float32')\n", - "\n", - "X_test = X_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", - "X_test = X_test.astype('float32')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We define *convolutional_network* function in order to classify a image into one of the three possible categories (i.e. rectangle, disk, triangle)." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "#==================================================================================================#\n", - "# convolutional_network(input_size, num_classes, optimizer, lr)\n", - "#\n", - "# WHAT: Configures the model for training\n", - "#\n", - "# INPUT:\n", - "# - input_size\n", - "# - num_classes\n", - "# - optimizer\n", - "# - lr\n", - "#==================================================================================================#\n", - "def convolutional_network(input_size, num_classes, optimizer, lr) :\n", - " \n", - " # Definition of the model\n", - " model = Sequential([\n", - " Conv2D(16, (5, 5), activation='relu', input_shape=(input_size, input_size, 1)),\n", - " MaxPooling2D(pool_size=(2, 2)),\n", - " Dropout(0.25),\n", - " Flatten(),\n", - " Dense(128, activation='relu'),\n", - " Dropout(0.5),\n", - " Dense(num_classes, activation='softmax')]\n", - " )\n", - "\n", - " # Definition of the optimizer\n", - " if optimizer == \"SDG\" :\n", - " opt = SGD(lr=lr)\n", - " elif optimizer == \"Adam\" :\n", - " opt = Adam(lr=lr)\n", - "\n", - " # Compilation of the model\n", - " model.compile(loss='categorical_crossentropy', # mean_squared_error\n", - " metrics=['accuracy'],\n", - " optimizer=opt)\n", - " \n", - " return model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we try using the SGD optimizer." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "300/300 [==============================] - 0s 2ms/step\n", - "Train loss: 0.9528640413284302 \t Train accuracy: 0.58\n", - "300/300 [==============================] - 0s 2ms/step\n", - "Test loss: 1.0016374476750691 \t Test accuracy: 0.49333333373069765\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "epochs = 100\n", - "batch_size = 32\n", - "validation_split = 0.25\n", - "lr = 0.001\n", - "\n", - "# Configures the model for training\n", - "model_conv_SDG = convolutional_network(input_size, num_classes, optimizer=\"SDG\", lr=lr)\n", - "\n", - "# Trains the model for a given number of epochs (iterations on a dataset)\n", - "history_conv_SDG = model_conv_SDG.fit(X_train, Y_train, validation_split=validation_split, \n", - " epochs=epochs, batch_size=batch_size, verbose=0)\n", - "\n", - "# Returns the loss value & metrics values for the model in train and test mode.\n", - "eval_conv_SDG = model_conv_SDG.evaluate(X_train,Y_train)\n", - "print(\"Train loss: \", eval_conv_SDG[0], \"\\t Train accuracy: \", eval_conv_SDG[1])\n", - "eval_conv_SDG = model_conv_SDG.evaluate(X_test,Y_test)\n", - "print(\"Test loss: \", eval_conv_SDG[0], \"\\t Test accuracy: \", eval_conv_SDG[1])\n", - "\n", - "# Generate loss & accuracy plots for training & validation\n", - "visualization(history_conv_SDG)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "Now, we try using the Adam optimizer." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "300/300 [==============================] - 0s 1ms/step\n", - "Train loss: 0.40812933214008806 \t Train accuracy: 0.9166666666666666\n", - "300/300 [==============================] - 0s 1ms/step\n", - "Test loss: 1.4009317779541015 \t Test accuracy: 0.6566666666666666\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "epochs = 100\n", - "batch_size = 32\n", - "validation_split = 0.25\n", - "lr = 0.001\n", - "\n", - "# Configures the model for training\n", - "model_conv_ADAM = convolutional_network(input_size, num_classes, optimizer=\"Adam\", lr=lr)\n", - "\n", - "# Trains the model for a given number of epochs (iterations on a dataset)\n", - "history_conv_ADAM = model_conv_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", - " epochs=epochs, batch_size=batch_size, verbose=0)\n", - "\n", - "# Returns the loss value & metrics values for the model in train and test mode.\n", - "eval_conv_ADAM = model_conv_ADAM.evaluate(X_train,Y_train)\n", - "print(\"Train loss: \", eval_conv_ADAM[0], \"\\t Train accuracy: \", eval_conv_ADAM[1])\n", - "eval_conv_ADAM = model_conv_ADAM.evaluate(X_test,Y_test)\n", - "print(\"Test loss: \", eval_conv_ADAM[0], \"\\t Test accuracy: \", eval_conv_ADAM[1])\n", - "\n", - "# Generate loss & accuracy plots for training & validation\n", - "visualization(history_conv_ADAM)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Conclusion**:\n", - "\n", - "We build and train a convolutional (not-to-)deep network in Keras using the SGD and Adam optimizer when the shapes are allowed to move within the images and change dimensions. We obtain the following results:\n", - "\n", - "\n", - "|Loss|Train|Test|\n", - "|:-:|:-:|:-:|\n", - "|SGD optimizer (linear_classifier)|1.020|1.718|\n", - "|Adam optimizer (linear_classifier)|0.806|0.910|\n", - "|SGD optimizer (convolutional_network)|0.952|1.000|\n", - "|Adam optimizer (convolutional_network)|0.324|1.191|\n", - "\n", - "|Accuracy|Train|Test|\n", - "|:-:|:-:|:-:|\n", - "|SGD optimizer (linear_classifier)|0.49|0.43|\n", - "|Adam optimizer (linear_classifier)|0.60|0.55|\n", - "|SGD optimizer (convolutional_network)|0.60|0.50|\n", - "|Adam optimizer (convolutional_network)|0.91|0.65|\n", - "\n", - "\n", - "Results are better using convolutional (not-to-)deep network than using linear classifier.\n", - "\n", - "Even if the values of the loss and accuracy functions on this train and test set when using our convolutional (not-to-)deep network are more satisfactory than the previous model, we see that this model can be in overfitting situation using the Adam optimizer. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "Now, we try to improve performance." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Creating data: 100%|██████████| 1000/1000 [00:18<00:00, 54.64it/s]\n", - "Creating data: 100%|██████████| 300/300 [00:05<00:00, 52.88it/s]\n" - ] - } - ], - "source": [ - "# Generate training and test sets (2x 300 samples with noise and with move)\n", - "[X_train, Y_train] = generate_dataset_classification(1000, 20, True)\n", - "[X_test, Y_test] = generate_test_set_classification(True)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "# Define the input size \n", - "input_size = IMAGE_SIZE # 72\n", - "\n", - "# Generate training and test sets (2x 300 samples with noise and with move)\n", - "X_train = X_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", - "X_train = X_train.astype('float32')\n", - "\n", - "X_test = X_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", - "X_test = X_test.astype('float32')" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "#==================================================================================================#\n", - "# convolutional_network(input_size, num_classes, optimizer, lr)\n", - "#\n", - "# WHAT: Configures the model for training\n", - "#\n", - "# INPUT:\n", - "# - input_size\n", - "# - num_classes\n", - "# - optimizer\n", - "# - lr\n", - "#==================================================================================================#\n", - "def convolutional_network(input_size, num_classes, optimizer, lr) :\n", - " \n", - " # Definition of the model\n", - " model = Sequential([\n", - " Conv2D(8, (3, 3), activation='relu', input_shape=(input_size, input_size, 1)),\n", - " MaxPooling2D(pool_size=(2, 2)),\n", - " Dropout(0.25),\n", - " Conv2D(16, (3, 3), activation='relu'),\n", - " MaxPooling2D(pool_size=(2, 2)),\n", - " Dropout(0.25),\n", - " Conv2D(32, (3, 3), activation='relu'),\n", - " MaxPooling2D(pool_size=(2, 2)),\n", - " Dropout(0.25),\n", - " Flatten(),\n", - " Dense(128, activation='relu'),\n", - " Dropout(0.5),\n", - " Dense(num_classes, activation='softmax')]\n", - " )\n", - "\n", - " # Definition of the optimizer\n", - " if optimizer == \"SDG\" :\n", - " opt = SGD(lr=lr)\n", - " elif optimizer == \"Adam\" :\n", - " opt = Adam(lr=lr)\n", - "\n", - " # Compilation of the model\n", - " model.compile(loss='categorical_crossentropy', # mean_squared_error\n", - " metrics=['accuracy'],\n", - " optimizer=opt)\n", - " \n", - " return model" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1000/1000 [==============================] - 1s 962us/step\n", - "Train loss: 0.06693688344955444 \t Train accuracy: 0.987\n", - "300/300 [==============================] - 0s 938us/step\n", - "Test loss: 0.12332990328470866 \t Test accuracy: 0.9566666674613953\n" - ] - }, - { - "data": { - "image/png": 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bqZRSLetEmePXIprz1LEl5/gdSmVlJbGxscTFxZGXl8eCBQuYNGlSq5dDqc7AFBdg3noVLAv55lVIbPzhz1m9FLN5HXLa2UiXrkd/7yUfQc++IIJZthjOvRhjh6CqComLx9g2la89i8nPgxWfg8uNCdSAx4v9yt+gugrz4TuYFZ8j51+G+fh9KMgFBPP2a3DFTdj/fBrSuyPfugapC2A//VvMa85UaDPrFQg5v+NCn85HuqQjEyZh1nwFGT2QQSOca3qjkHGnY934U+wvFmGeeQRi47GuuAn7b4/AxtXY8/8H7ghISMY634ckpWDdcjf2oz/H/uVNUF2JXP59MAbzqnN/67o7MIV5iDsCqDnqz1Edf4drI01pEZQWQ1ZfRFp3Zoi2kUopdfx16MDvRDZ8+HD69+/PGWecQWZmJuPGjWvrIinVLphQCPOf5yC9GzJhEhIdc/hzvvi4YRgkfQYiE89pvN8OQUEeku4kDzHlpdh//3046JqN9fA/EG+Us68wD7PwPUhIwZpy4b5rbN+EWTQXGTkBQjZm93Zk9KmwYzNy2bVQVYl573VMdRXm/Tcw7/hh+Fhk9ClU/fs55yKx8VBZjpn/P6encPcO5Ns3IF26Yr/7X8w/nwZAbrgTdu/EvPsfZ6heWQnWXQ8hEREQEYF12/2wfgUkJmPPfBnJzAIE8+UizMbVmA+deX1y9kXI2InOUMzKehg5wdk+agJm2Gis08+D4WMgMhJ79n9gy3rk0quxpl7aUG/pMxC59ieYubOQUyYjZ06DyjLMv591gtFhoxFAIg6fpl+dYFzhrwjBEES0buCnbaRSSh1/ciTz205AZs+ePY02VFdXNxoucjht1eN3vB2u3u0xa+DR0Hp2LAeqp9m6Aft3P3XeRHqQC7+NNe3SA5y9j/3332M2rYVADTL+dKwr9803M1vWYz/zKBQXIDfciYw6BfuZR2DVUuTSqzH+f2Ddeg8MH+sEkC/9CWoDIIJcchXs3AKDRmBe+QsY4wRvtg3VlTDqZFjxOdbD/4D8HGeu3w13Yl79G8QlQn4OhIK4MjIxV/8IElOw770Z6uogPhG55LvIqVMQy8LYNubd16GiDJlxPVRXYv/1YQjUYJ1/GTLq5GZ9piZQjVmyELP8M6xLvwfds7B/fiOUFGE9/vIBA+nQk7+G1U4PofXz3zcEwYf8zGe9AilpWOEg+zhm9dTVuJvvmNpIU1MFeXuga2az/s5PVM2pc2f+ndrRdIY6gtazoznWeja3fdQeP6XUCcPk7MJ+9RnkpAnIWRdQ8cKfsJPTsE49a98xW9cDYP3wHuyP52BmvogdE4Ocft5Bk6CYXdugZx+oDWC2b963vb4e+/knnTfdszD/fhbz3n9h1zZnTt2kaZg3XsYs/hDz3xdhz07oMxDrqlux/3AvZuaLzrlfLoKefbC+faMzB04scLlg2Wcw+hQkMQUTGw+eKIz/OaiswLrhp84Q1BefImbGdVT1HeRca8AwWP0V1uXfR8ac1lBWsSzkAt++SsXE4brjgSP+jMUbjZw5Fc6c2rDNuvRqTEHuQXtPramXYrpkIBdf2ewAwJp+xRGXTZ1g9vb4hdr/w1GllFIa+CmlWpGproLtm5AhI/dt27nF6bnrmon5dD6sW4FZtwJJSKT6nf84wxVDQWdoZGw8xMRBchfkpHFYQ0dhP/lrzMtPYxa+j3XLz7Gfuh9qqpB+g5ELZ0BSF8jd7QRR9XWYeW85PWW9+0N1FeTtxvrxryEuwelJ9EZh3fwzZ5gmwIChmC8XgTsCuebHyPgzEHeEE7it/hIZfwbmoznItEuR5C7I937sBH1fLcYs/QTrzGkAiDsCufQqzBv/hO5ZMGgElmVhRowjqk8/qsJP+qxp38L0HQR7798KZOzEQz4mlIHDkYHDW6086gTh3jvUUwM/pZTqCDTwU0q1KGMM5sU/Qky8k+Fx5ktYP3sECfdw2X//vdMD9svHMWuXQe8BsGMzZumnzpIBhXlOopCkVNjh9NZJODuluN1YP/oVZsFsjP8f2E//FrK3wZhTMSs+x2zdgHX1j8DYSI/eYGxMKIhZ+gks/cS5xmlnI8NGA2A99iJExSDWvvlMMmQUZs0y5PzLsE6dsm/7gKHIgKHO6ytuati+dxkFk9UPevSGQSP27Zt8AWbiOWDbDfeQ+MRGn5cMGIYMGEZt0GbRjjLO7J2A2zp4WPZFdiV9U7wkR7XMr/PtJQFqQ4aBqVGEbMNnuyoY2z2WVXnVbC+tZUR6NANS2+8wQHVwYrkwlqU9fkop1UFo4KeUOirGDmE+nY8MH4v9j8eRXv2xvnkVxrYhFMJ8PAc5/VxY/RXmkw+cXrp+QwCw334V66afOT1jeTlgbOwn74OcXcjFV2ICNZiVX+y7WX0d1rU/wX73dSfz5d5hkeAkNJnyDcyC2U5gOHA4rpt+hlm3Avvxe7Bf/KNzYM8+Tnp6cIIxl8sJwK64ed+1YuK+Vk+ZeDYYg5x1YaPth1tfT9K7NR6a2VDewyc5Mcbwx89yWLSjAq/b4rSs+AOu8VdSE+SBj7KZ1j+Rm8YfXebRpvO8RYSQbXCFg82/fpHH7vI6nrukLx9uK+fPS3Lpm+xlS3EAgLQYN3+9qC8uS7CNwWrymRxom2o/xB2B0R4/pZTqEDTwU0o1Ymwb7FA4/f4hrPjCWTR8bybKjauxi/IxO7YgZ5yH+c9zSEIS9syXneOLCzDbNoBlwZpl2LfOQC75rtMbd9rZzjBPQIaOguztmJxdzvvTpkB9PdJ3ENb0K7B370DCC47vJZaFnDkV85/nsSaFh1YOPgk5+yLMgned5RRS0hAR5LrbkUEjICHJOe4wQYlExyLnXdJo29NLcsmrrOO+KT2b85EesYXby1m0owIBluVUcVpWPPd9mE1spMWdE7s3HLc8pwrCxxytez7YRWq0m34pXmauKeY3U3pwx3vbuWFsOpN7J7ClOEBdyPDJzgre3ViCxyVsKQ4wKDWKqf0T+cPiHJblVBHltnjo493cdmoGo7vFErIND3+8m+p6m/un9DjWj0S1FbcbAtWY4gJISj3s/xellFInLg38lFKNmHf8mM8/wvrN0w1f8kx1FXi8iMu177glH0FkJFSWQ/8hsG2jswQBNCQ9MZvWQv4eJ2HJxtVQkItMPh+6ZWH++wJm3luAs6wAvfphvvzE6ZnL7AVfLsJKTXfmzIVJj964fvf3A5ZbJl/ozOfbb26cNeN6tp17JStzq5kerot18qRmfxY7SmtZkl3BZUNTGn3h/XJPJUXVQbYWB+iT7HXqagxvrC2mX4qXEV1j2FYS4M11xUS5LS4/qQvxHhdzNpWyKq+KoWnRTBuQdND7LsmuJDnKzYBUL8tzqthWEmBZThUCXDWynrRYJyjfG/jlVtaTU1FHaSDI7I2lxEVaXDM6nQiX8Pb6YnoleRievi9xSyBo419VSFaih1V51VjiXKskEOKl5QUEgoa/fJ5LyIa6kEGAF77KpyQQ4vvj0kmJdjOkSzRRERYvLsvnfxtKcFtCeW2IRxftYUy3GIprgqzJd9bt21AYoEuXZn/s6gRiJaYQKi6E8lKIioGo5mfNVkopdWLRwO84Ky4uZsaMGQAUFBTgcrlITk4G4J133iEysnlrWb322mucddZZpKWltVhZldqfKSsBbxRm20bI3Q3FhZDSBXvJR5gXn3KGOg4chtm1DZl8AWblF8jEc5AJZ0K3npiP50BhPmbPTtiwyrnm3nl048/AbFzt3KhnX6yJ5xBa8TmsXupkwEzvjpXZCyad7xzTPQsDuHv0ItTM8ktEBDJu4te2v7+5lNkbS5ncO554b+NfefUhm6p6m8Tw9pyKOtJjI6ioDeGyhDfXFTF/azmn9Yyne7zzf7ekJkhRtTP07fU1RVwQDuC+yqni9TVFeN3CDyZk8NxX+dQGbepCNtnlddx+Wjee+TIPARbvquCUHnHUhmzSY53rFlTVk19ZT4+ESFbmVjE+M44BqV4+21XJs0vzibCEkDG8vqaIM3s5C9Avy62if4qXTUUBZq0rZuH2cgxQXW8zMDWKAalRPLs0n6wED09e0AvbwObiAG+sLWLxrkoAIl1CfchQEnA+6SXZlaTFRFAXsnl2aR4A3x6eysId5WTERTKpdzzREfseAEwfnMwLywoAmNw7nrzKerYU1wLwraEpvLOhhHc3lTBxsPb6tUdWdAwhdwTs3h4O/o4t8NM2Uiml2o4GfsdZcnIyc+fOBeCxxx4jJiaGm2666TBnfd1rr73GsGHDtFFTLcbUVEN+DpLVFxMMYt9/m7MWXEGOc8COTRgM5h+Pg2VhPv0A88XHzpDNxfOhvg45eRLSZyAAcq4zHNLs3IL9zn+gqqIhAJThYzHeKGcdvQwnAJABwzCrl0JahjNPb3/dswBwZzY/8DuYgionSNtcHGB0t9hG+57+PI9Pd5bz8LlZeN0Wt7y9lWtGpzFnUymJUW52l9cBTm/Y3sBvU5HTi5WV6OGTnRV8srOi4XoTMmPZVBTgsU/24HVbPHJeFluKAzy5OIefvb+DoG34v9O78fDHe7jr/R3kVdbzk1MymJ6YzJ3vbac0ECLKbVETtBmZEcPAVC+WwOq8as7um0BFbYg5m0uZs7m04Z7Xjk7j1ZWFvLuplHiPi99PzeLeD3bx3qZStpY4AdiOslrWFtTw3sZSFu4oB+Dsvgks2FbOlD4JFFTVs620li7REawvrGFc9xhiIl34VxcRE2HhG57Ct0ekHvDznT44mfWFNXy5u4rLR3Rp6I3cq7o+xNzNZZQHdJ5YeyWWhYlLhNIiTE01cgzBn7aRSinVdjTwa0V+v58XX3yRuro6xo4dy4MPPoht29x2222sXbsWYwxXXHEFqamprFmzhptvvhmv13tET0GVOhyTn4OZM9MZqlkbwPrlE86T/LJizNYNUOj08pjtm6Cm2klscuEMzKx/ORfI6AH5e5ArbmoI+vYnPfviuvln2K+/gNmwyll+ISnFCea2rHfOB2TgMMze6zWVmo6cMx3v5GnU4vTarc2v5iendiMQtPnDpzmc1z+RURkHXnduf4XV9QBsLmoc+JUFgizcXk7QNjz40W4uGJiIbeCVFYUEgk4v3V7Lcqq4YKDTs7e5OIAl8JspPdhZWttwjNsSBqZGUVVvs70kQLf4SFKjI8hK9LCjtJY31xUzNC2KU3vGMyy9lNV51cRFWvx5SS57aoTSQIjLR6Qyc20RAozsGk28180T03pRXhuif0oUtjENSVUAIixhQGoUQ9Oiyamoo2eCh8QoN1P7J/LCsgI2FwcY0y2GdQU1PPhRNlV1Nt8ckszErHj6JHm4fEQqCV43tUGbQNBm/tYy1hfWMDIjht5JXl5fU0TfFO8hk7NYItw1sTslgSCp0V+fF3rx4GTO6pNAnMdFUeVh/7rUCSS3og6x6gnZhjoTjSsmguiyKhLcEbibPqw5DrSNVEqplqWBXytZv3497733HrNmzcLtdnPXXXcxa9YssrKyKCkp4YMPPgCgrKyMhIQEnn/+eR544AGGDRvWxiVXHYkpLcJ+9G6orkTGTMR8vhCzZAFUlDkH7NoK4SyPZvtmpLQEYuOQcy/BvD8LPB6se/8AVZVIwsHnqAHQLRzQdc9ykqoMGIoJ1OxbJLxnX0hIRvoNBqA0EGR7SS3D06NZkl3BuEuvISI9jWWrdvCXz3OxDXxnRCorcqtZvKuC5TlVPDI1C49L+HK3M9ctNtJiYlY8LktYX1BDvMdFQZUT+G0orGFJdgWjMmLYVBRgzqZSgrbh+jFpPLs0n3+vcgKuQNAmzuMiUG9TbxvGhZcueGdDCQCfZ1fSI95DotdNYtev/wqN97gY0bVxQHrVyC5ERViM7+4EntePSWPJrkqm9k/krvd34F++h66xEVw2LIWBqVFsKQ40DEvtleRtdK2m1wboEhNBl5h9X8TP7ZfIzrI66kI2vmGpbC0O8PnuSnoneRrNV0wJB2ruSBcxkS7O7ptIRW2IkRkxRLosbhibTre4w3+hdllywKAPID02kvTYwyfRUSceEaipt8EYvBEWQYmgxHJTVl5PaqwQ7zl+XyG0jVRKqZbXoQO/Z7/MY1tJ4JDHiMjX0pkfSu8kL9eBBZ9JAAAgAElEQVSPTT/isnz88cesWLGCadOcjIOBQICMjAzOPPNMtmzZwj333MOUKVM488wzj/jaSu3PfuGPzje2/kMxc9901szzeDFFBdh/egBqqrF+9ijSozehmirM4g+hrhZi46AyPGwxLQO2b8ZE50D/oUikB+vqW50EL+6IhoyY4KTrN4aG9P97SUZPbMAKD9uU6Vci3/jOvv1uN9aDf4OICKrrQ9w7bxc7ymoZmhbFmvwabjs1g2+mdeGZL3JJ8ropqgmyLKeKOZtK6RYXSXV9iAcXZFMfMhTV7BtGuKk4wCk94rj3g50MSImiss4G4Ms9VXy5p4rBXaLYUFiDbWB0RgwXDkzivU2lZJfXcVaf+PCwykRKaoJsLQlw4cAkvthdyTNf5jXc4xuDDhP0NuGyhG8P3zdUsneSl97hgO6XZ2Zy7/xsLh2agiXCyIwYRjajJ/NQYiJd/PiUjIb3WYkeJvdJOOx5SVFurh2z7/fb+YdIQKPav6NpI+36euqxsBEsDBEWWPslfdI2UimlTlwdOvA7kRhjmDFjBnfdddfX9s2bN4/58+fzwgsvMHv2bB555JE2KKFqz0z+HszST5E+gzCffuD02i35COrrMJ/OxxTmYj6eC8bGuulnzmLmgIw/E7N8CXTpivXNq7D/5vzbk0nnY/z/gJoqJ+MmIGNO/dp9Q7bh5re3kldZz2VDU7hy5L7Ujbtiu3Lfqb/kovRIpoOTEXS/L4gA4vFgG8MfPt3DrvJaeiV6GjJBbioKsHRXGXsq6rnt1AxeWl7AG2uLya2s56Zx6fRO8vKLeTtxCTx8bhbd4iJ4bVUhb68v4e31Tu/cugLnWgNTvWwoDNAnycO6ghp6JXq4d3ImiV43IsLU/ok8uzSf8d3j+OGEDCwBAwjOF99Xff0JhvZ9+Y3zNK7HseiZ6GHW9eMpKS46btdUqqWI201kbS1By0VQXNTaEGmB6xg7dLWNVEqpltehA7/mPHV0u90EW2Fx2tNPP50bb7yR66+/nuTkZIqLi6mpqcHr9eLxePjGN75B7969+elPfwpAbGwsVVVHvzaX6niMMc7yB3EJmPMu2rdt9n8ws14BYzCW5fT2paZDSSGkpGFee8ZZqHzc6chF30G6ZgLO0Mr3vQO55NrbcI8YC+5I51zLhUy5EKJjMXNmIiMnHLRMuZX15FU6QylX5FZxJU7gV10f4reL8ymMjOf5XMjKqWrUixW0DTPXFnFu30TmbC5lSXYl149JY3LvBL7YXcm7m0rZXBSgYmUOcR4Xp/aMY1VeNfO2lNEnycNZfRLwuC3un9KDCJfQPyUKgOvGpNMz0UNlrU11fYj/ri0GwDcsldJAkMm9E/hkZwXD0qNJjtr3629q/0RnKGZmbEPP5f7fY6MjXHD8pzQ1aNpbqlRrONo20oSCYLmor6omp8am3nKTFOUmOcp91EN6tY1USqmW16EDvxPJ4MGDuf3225kxYwbGGNxuNw899BAul4s77rgDYwwiwi9+8QsAfD4fd955p05c72RMeSnEJTT68mSMgbJiqK93euGA0s8/wtzyC8zSTzBv/hMZfwacNN7JwDlyAtaMG5xkLTu2YF75C3LhDKzpVzS615xNpfxrZREDp4znpJhwUNbFGR4olstZOP20KQ3HV9aFcIkQFWEBUFwTZFeZk9ykf4qXXWV1Df+O520pI6einnsmZfLUZzl8sLWsUeC3eGcFr6woxOu2mLO5lDHdnCGXIsLkPglsLQnw7sZSNhXVcNGgZCJdFpN7J7CztJa7Tu+Ox+2UYUha4+yCLkuY2t8ZnripqKYh8MtK9DA2xplfd0Z4KYT9Rbgszu6beCR/VUp1WuJyvjpEREeRWbydwphUSmqcRD9JUUf3tULbSKWUanka+LWgO+64o9H7Sy65hEsuueRrx73//vtf23bRRRdx0UUXtVjZ1InD7NyC+XguMvVS7F9+H+v6O2DMafv2L1mAee5JZNq3AGex87p5byFvvOzMzYuKRq673Um53q0HJKc5CVSSUyGrH5LZCw6QfXPv4t/Lc6o4KZwwRCZNg9CBe8Dvm7+LQNDm4fOy+HJ3FU98uoeJWU4QdUqPOF4qKqCoJkhKlJv3NpUyIMXL2O6x9EzwkFtR1+ha721yhmJuKKyhqDrI+QOSGgW7/VOieMt2jjmvvxOQDUuP5tGpvZr9ufZK9OC2wDY06t1TSh0fYllY3ijSKvMxsekUVYPbgrhmJn3RNlIppVqXfhtSqg0ZY7Bf/TtsXgvxiRAMYjavR8achqkoh+pKzLy3wdiYeW86yVW+dQ2RgSpqP50Had2gR2/EcnrAJLN3o+uLZUE4a+b+qutDrC905r99nl1JYXWQs/oksCVjIkHbMCP8dH2v0pogG4ucJBCPf5JDWSCIbWDRjnK6RLsZkOokKtlVVsf2klp2l9c1JBfpGhfBZ+HFwtfmV/PCsgI2hO+9Nxtnj4TGT+v7JTvXOzkriYxmZJU8kAiXRa9EL+W1QR1KqVRLSe4CJUKXynxC8d3Iq6zHGBqy0iqllDpx6G9mpdrS+pVO0AeYRc6ixmb3dkwohP34PbBnB9g2WBbU1cHA4YjLhWfUydQu+gCqNiJnXXjY26wrqKZvspc95XVsLg6QXVaHbWBkRgzLc6rILq/j050VBG0ngUmsx+LCgckN5y/PdQK0s/smMG9LWcN220CPBA89EjwAfLG7koXby8mMj2RiVhwAXWMjKa8NUV0f4t+rCtldXsupPeOwBBbtcLKI9gyfv1dGXATTByUxfVQWcOisg4fyrWEplOnC4Uq1GHG7ManpWNnbyagrIScqhfyqeiJcQlTE8UuCpJRS6thp4KdUC7FffArSumFNu/SA+83G1dh/fRiSUiFQDcUFzo7dOzAfvA3Z2yCzN5QVI6edjXnvv0jfQQBEDh0VvoiBHn0OWY6VuVXc88EuhqVHs7Gwhrpwdsp4j4urRnZhZW4VM4al8v6WUvokeTAGXlxWwJm9EhqyVy7PqSLO4+IHE7oS6RI+2VnBuO6xzNtSRo+ESBI8LuI8Lt7ZUEJMpMUvzswk0uX0QnaNc7KiLNtTxfLcai4fkcqM4an8b0Mxi3ZUEGEJaTGNM6eICNeOSSc1NZbCwqMP/E7pEXfU5yqlmkdEMHEJSGkRXSM9ZLtiyK+qp0eChaXrNyql1AmjwwV+R7ImX0fSWet9ojKBamdZBY8XM/l8sEOYZUuQUyY3DMu0Z74EUdFYdzzgBIkbVoFYUF7Kn9ZUEzv+Gq65/mIIBqGkEPPhbGT4GH77UTajs1I4JzmV+ZFZvJnXnauzK3j+q3yuH5POJzsrWLi9nKFpUdw3pSezN5biElidV02XaDf3Tu6B120R67GIjnDxqm8AXrfFN4cmE2EJO0pr+fHs7czfWsbobjH85sNs8qvqmZgVhyXC98d15drRaazOrwkHfh5EhJ4JkawrqOGuid3pFr9veGZGrPP65RUFuATO6efM2dvbS9g9PlKHYirVSlqsrYhLgLparLJiUhNc5NgeSmuCJEe3YDrcZtL2USmlHB0u8LMsi2AwiNvd4ap2UMFgECscTKgTxOZ1zhDNmmrM5wudP19/HvF69yVuKchFRoxDunRFevXHbFgFQ06CNctYmtCPSm8c36oNYRthYbGH8/7wLyrrbJYs2UJZHfQceDp/jRhHsAYe/Gg3AHO3lPHl7koiXcLy3Go2FtawJLuCiwYlk5XoYVBqVKOgDMAbzpC5t4euV5KXQalRzFpfzOyNJdSGbC4dksxZ+y0AHuGyGJEezU3j0hsSvFw9Ko2K2tDXFh/f2+OXU1HPqT3jGhKt7A38ms7vU0q1nJZqI8XlgrQMTN4eoitLiE3sTnFNiFiPq+F3S1vQ9lEppfbpcNGR1+slEAhQW1vbrPWEPB4PtbW1rVCylmGMwbIsvF5vWxdF7cdsXO0sVt4lA/Px+5CUAoD9v39jjToFgvVQXgopaQBInwHOguGnTqFu7UpKPfFgYNb6ElbkVrGpKMCW4gAj0p3lCzYXVjEz8wxiS+r44WmZvLy8AMuCxbucOXOXj0jlxeUFPLk4B9s469QdSZKUS4cm88fFOVhui7tP787gJssmgLN0wrQBSQ3vB6ZGHfBa0REu4j0uymtDTOu/b8mEJK+LkV2jGZ+pwzGVai0t3UaaYBCzcS2Rifls8fagsDSCEU0eBrUWbR+VUqqxDhf4iQhRUQf+AnogqampFBYWtmCJVGdkNq6BXv2REeMwb7wMebudoVDZ2zGv/g2ZdL5zYKoT+DFyAtYP74ERYyn6ajkAlsDra4oAmJAZy4Jt5SwLL8EQtA1fFtQzpW8i4zJjGZcZy/ytZTy5OAe3JZw/MIm31heTXV7HqIyYI86MOT4zjn9edvwCssx4J8HL8PR9AaSIcN+UnsftHkqpw2vpNtJ4M7Fff56obRsp7XoqT/eYwtPfSKB7vPbsK6VUW9PxD0odZ6Y2ANs3IQOGIiMnOBtrqpFvfBv7nEv4624P22bNAkCSwz1+lgs5aRwiQtHF1wFw68kZ3H5qBo+cl8XdZ3TntJ5xlAVCDO7ifGkzwMiu+56kn9TVCaqGpEXhdVsNQy7372VrKz85NYNfTe7RrB4GpVT7JZaF68e/wrrtPqbs+gQXhvc3l7Z1sZRSStGKPX4+n28q8CTgAp71+/0PNdmfBTwHdAGKgSv9fn92a5VPqeNmy3oIhZABwyCjB6RlQH4O0ncQ2SOnMGf2diKzP+YagNQ0aoM2y3Kq8LotRnSNprDaWX5gcJeoRj11PzolA49bOLdvIg8t2kNZTbAh2ANIiY7gm0OSGRYelnn+gCRcljC2e2xr1v6A0mP1ab9SnYlk9SOpf3/Gl2xg7uYhTMiMZcgBhowrpZRqPa3S4+fz+VzAn4FpwBDgOz6fb0iTw34PvOT3+0cAvwF+1xplU+p4MxtXO+vu9RuMiCDjz3AWZ+/ei83hRdC3xHYHl4tQfBK/W7ib3y3cza/m7+LVlYUUVNUDkBLd+LmM123x41O6MTgtmtGZiQxNi/raIslXj0pjTDjQG5Aaxa0nZ2jGTKVUm7BOP4/LN75NnAT5xbyd7Chtv/PplVKqI2itHr/xwGa/378VwOfzvQZMB9bud8wQ4Pbw6w+BN1upbEodV2bjaujZF/E6T7flwm8j51yMuFxsCgd+W+O687chM1g0cytV9TbXjk5je2kA/+oiusdHkug9dCa8X547QOemKtVB+Hy+54ALgXy/3z/sAPsFZ8TM+UA18D2/3/9V65byKIwYS3ee4uGSudwYP5VZ64r50SkZbV0qpZTqtFprjl93YNd+77PD2/a3Avhm+PUlQJzP50tphbIpdVSMMYT+8jvsvz+GsUPOtrpa2LbRGeYJbC4KsKogQLXbywdbStlYVIMFBFwe5qSMpFeShx9O6Mr0wcncMr4ryVFudpfX0SXm0GtfedwWHrdO0VWqg3gBmHqI/dOA/uGfG4G/tEKZjplERCJjTyPuiw+YvOtTPtpWyqaimrYullJKdVonUlbPO4E/+Xy+7wELgd1AqOlBPp/vRpyGD7/fT2pq6jHd1O12H/M12gOt5/FXM3825V8txgBRmT2J++7NBD6ZT1kwSMIpZ+BJTeWeD1eytbCKswd24c1VuQCc3juJj7eVIBh+df5QuifsSzV+8Yganluyi+5JMYesh/59diydoZ6doY5Hy+/3L/T5fL0Occh0nKkQBvjM5/Ml+ny+DL/fn9M6JTx6cvEV0LMPF322hIX1o7jzvR3cNC690VIwSimlWkdrBX67gR77vc8Mb2vg9/v3EO7x8/l8scClfr//a6nA/H7/M8Az4bfmWIe7dZblHLSeR85UV0FUNCxfAoCMOhlTXoJ5fxYyfCz2c09C30FIt55Uv/FPAoNGYr/9b0hJo7xbL+z8AjbkVVAbMry5KpfoCIvqeptTM6NYurOYQUmReOorKSysbLjnxG6RvCCQFGEOWQ/9++xYOkM9j0cdu3XrdpxK0+4cbNTMiR/4xSchk86n24jx/PW+23lgzM3MWh/Bef0TsTTLr1JKtarWCvy+APr7fL7eOAHft4HL9z/A5/OlAsV+v98G7sbJ8KlUmzC52dj33wbds2D7ZoiKxho8Avvp38GW9Zg5MyE6Fuuan7CsxsPuPTbn/+V3UFJI8JKreW1FET0TPNSGDJaAbeD/Tu9OXchmTLdYupzTi5Torw/nTImO4KFzs+gae+ihnkopdSAn7KiY1FS8513AtE/n8OTgb7MrEMGYHm2/1MxenaVHujPUszPUEbSeHU1r1bNVAj+/3x/0+Xw/BObgLOfwnN/vX+Pz+X4DfOn3+98CJgG/8/l8Bmeo5w9ao2xKNWWMwX7lryAW7NwKMbFQWY79+L3O/L3LrsFsXIN1znQkvRsz5+1kQ89zOM/ehZWWwbPx43h/bTHucDbNq0Z2YWdZHSd1jW5Yx65/ysEXUB6Y2vzFlZVSncJhR83sdSKPijGnT+WUOW/zj2ANMxetIeucgcflusdDZ+h1h85Rz85QR9B6djTHWs/mjohptTl+fr9/NjC7ybZ793v9OvB6a5VHqYMxny+E9SuRK25Cho6GqGjse252gr7TzsY69xI49xIAbGPYUhygzgh7br6ftQU1vP9FHt3iIthTUU90hMX0wck6pEkpdSzeAn4Yzog9AShrD/P7mpK4BLw/vZ9RM5ey3OqHMabhYZhSSqmWdyIld1GqTZnyUszyzzCz/gW9ByBnnIdYLgDk5LMwSxYgl36v0Tl7KuqorrcBeG9TKXM2lzKuewy3TMjghjc30zfZq0GfUuqQfD7fqzijXlJ9Pl828CsgAsDv9/8V56Hp+cBmnOUcrmmbkh47yezNiKhP+djysrOsjqxET1sXSSmlOg0N/JQKM+/+FzNvFniisK68uSHoA5BvfQ+56DtIVHTDti93V7Kl2FmXT4B3N5USHWFx26ndiIl08YMJGXSJ0f9iSqlD8/v93znMfkMHmv4wMlGgDpbvqdDATymlWpF+K1UqzGzfCH0GYt32G8TbeJ6duFxOhs+w6voQv/0om5ABj0vol+JlTX4Nk3vHExPpBIxn9Ulo1fIrpVR7kJrRhe7r8vlqp5vpQzp+0gallDpR6ArQSgEmFIKdW5A+A78W9B3IqtxqQsbp6eub7GVQOCHL1P66NpVSSh2KdO3OKfkrWVFUz66y2rYujlJKdRra46c6NXvuLKTfYIiIgLo6yOrXrPOW5VThdQv3Tu5BbKSLJK+LYenR9NRhS0opdWjp3blg9ye81essZq4t4sendNr1GZVSqlVp4Kc6LZO9HeP/ByY6FjnzPACkV/9Dn2MMW0tq+SqniuHp0QxN2zf8c3S32JYsrlJKdQyx8SRECGeb3by/3eK6MenERroOf55SSqljokM9Vadi6usxObuc158vBMv5L2De/a8zhy8t45Dnry2o4fZ3t5NXWa+BnlJKHQURgfRuTCxcRdCGr/ZUtXWRlFKqU9AeP9Up2HPecII828a88TLW719wAr8hI7EuvwmzYDYkpSLWoZ+FbA1n8bxnUiYjM2Jao+hKKdXhyKARDHjvDRLPuYDPdlVwRq/4ti6SUkp1eNrjpzoFs3g+Zv7/MNs2QCiIWfwhFOUjYyciXbpiXXYt1tkXNTpneU4VVXWhRtt2ldUR53ExplsMbkvX51NKqaMhk87HsmB8fQ5L91RRF7LbukhKKdXhaeCnOoeyYijMg41rADAL3gVABgw74OHltSF+PX8XLy0vaLR9V1ktPeIjnaFKSimljookpyJjJjJ+zRwCQZuVudVtXSSllOrwNPBTHZaxnSfIJlgPlRXOxooy58/8PRCfCKnpBzw3p6IOAyzYVk51vdPrZ4xhZ1ktPRI0c6dSSh0rmXEtw92VRAUDfLa1qK2Lo5RSHZ4GfqpDMrnZ2LfOwGzbCOVljXd6wuv09Rl00J673Io6AAJBmw+3lgNQFghRWWfTIyGyxcqtlFKdhcQn4bn2J4wuXs+S7EpCtmnrIimlVIemgZ/qkMz2TVBXi1k0F8pLGu2Tsac5f/Yd+PXzjKG4JkhuZT0A/VO8vLS8gK/2VPLlnkoA7fFTSqnjpWcfJtTspNx2sfK9DzCl2vOnlFItRQM/1THl5wJgvvwEisLz9LpnQWIKMuoU4MDz+15eXsB1b2xmWU4VyVFu7j6jO1ERFvd9mM1Tn+UiQJYu0q6UUseFiDA+K5HE2nJmbq3BfDi7rYuklFIdli7noDqU2qWLsRcvgCqnd47qSuzF8wGwrr/dGeaZmo71yyeQrL6Nzl28q4L/ri0GYF1BDUO6RJESHcET03qxsbAGgMQoN0lR+t9GKaWOF+/oCVzif5/n+32D9aWfMaStC6SUUh2UfoNVHUr1269hVnzhLMTebzDs3AKrlzo7u2Yi7gjndZOgD+A/q4vIjI8kaBtyK+vpGufM5UuKcjOhR1xrVUEppToVGXwS592Qyr8+KGZhbbwGfkop1UJ0qKdql8yenYR+91NMuGfPbFmP2b2DurUrnAPyc5CumZDVD0IhiI3bF/QdwKaiGrYUBzh/QBKjuzkLs2fEHvx4pZRSx09Ut+4MkzKWR3Rt66IopVSHpYGfapfMxtWwdQNs3wSA/dBd2L++Ferr9h2Umo70GeS8jk86+LWM4T+ri/C6hcl94hmZ4QR+e3v8lFJKtbxRcUFyvMnsyS85/MFKKaWOmAZ+qn0qcebimdxsTH39vu3uCMjs5bxOy0D6hgO/hIMHfjPXFrMku5IZw1OJjnAxtlssN45NZ0JmbAsVXimlVFOjM5zfucs257VxSZRSqmPSwE+1TyWFzp+5u6EknLXTE0XUpKnIoJMAkC5dIbxkg8QnHvRS72wsYWRGDJcMTgbAZQkXDEzC49b/Hkop1VoyMtNJryliWV6grYuilFIdkn6zVe3S3rWeTN5uKMwHwLr1HuJ/cDcy/nQYOBy69UTik5CTJ8HwsQe8TnV9iKLqIMPTow+6mLtSSqmWJ2ldGVW8kVXVEdSH7LYujlJKdTia1VO1K2bpp5jCPCgJL/Kbk40pcgI/UroAIL0H4LrzwYZzrOtub3SN7PJaXlxWQDBkOKNXPAA9EnQ+n1JKtSVxRzDKFPAeLtYV1DCia0xbF0kppToUDfxUu2LPegWK8kEssCwoLYI9O53XSamHPb+yNsSDC7Ipqw1RU2+zo6wWgJ4Juii7Ukq1teHJEbjtEAu3lzMkLRq3pSMxlFLqeNGhnqrdMHl7IGcX1NVCbQ306u9sX7MMElMQl+uQ54dsw6OLdpNfVc89kzIZlBpFUXWQCEtIi9GlG5RSqq1FZfViXOEa5m4p46f/XU3INm1dJKWU6jA08FPthlmxpNF7GT7GeZGzC1LTDnv+G+uKWZ5bzc3juzK4S3TDsg2ZCZG49KmyUkq1OenZl9vW/Yvrtv6PrXURfLwxv62LpJRSHYYGfqrdMCu/hO5Z4I0CQAYM25e0JSbusOevL6ghK8HD2X2dDJ97A78e8TrMUymlTgg9++A2NtN2fkzPyhz+szKf+pD2+iml1PGggZ9qF4xtw/bNyMDhkNXP2ZiYgnXhDADEE3XYaxRW15MWu29aa79kL32TvYzqpgkElFLqRCDRsdClK1ZUNJcXLia7PoI/LcnBGA3+lFLqWLVachefzzcVeBJwAc/6/f6HmuzvCbwIJIaP+Znf75/dWuVTJ7j8HGdeX4/eiMeD2bwWEpORtAysH/4Seg847CUKquoZlLovQHRZwuPTerVgoZVSSh0pmX4FABN2bcO3cR5+zubsvgkMT9eHdEopdSxapcfP5/O5gD8D04Ah8P/s3Xec3EX9+PHX7O71frd3uZreewhJCCVBQKQEENGRon4FFVER7Ioo8sMG2BVEERTEgiOgooaiQiBASCU9IT1Xcr33vd2d3x+fzeVyCckmt3v1/Xw8eGT302YmF+7uvTPzfnOd1np6r8u+ARhjzDzgWuCX/dE3MfjZ2ips8V4A1OjxqEuuwfWl76JinSWaas7C4xZo9wctv11fSWlTJ21dAVp8QbIliYsQQgxqrkVLcS1ailp6Ce8teYVYAqwuaRnobgkhxJDXX0s9FwJ7jDH7jDE+4Engql7XWCA19DoNONRPfRODmC0rJvj1m7F//S243ZA3GpWYjJrY+3ODY60pbeYfO+t5aW8jNW1+AAn8hBBiiFDZuSQsOIfZdbtZU9woyz2FEKKP+mupZwFQ0uN9KbCo1zV3Ay9qrT8LJAEXHe9BWuubgZsBjDF4vSev3XYiHo+nz88YCobqOJuefoz2YBAa6vCMnURWXt4Jr+85zv+9Wg7AweYgPnciABPzvXi9qe94/1AxVL+ep0rGOXyMhDGKyFNXXMuCX/2edZlTOVDTyrjs5IHukhBCDFmDqYD7dcBjxpgfaa0XA09orWcaY4I9LzLGPAw8HHpra2pq+tSo1+ulr88YCobiOG1HO8EVz0HhOCjdTyCv6KRjODzOimYf60oaiXMrdlQ2safcWRYa09VKTY2vP7ofVUPx63k6ZJzDRyTGmJ+fH6HeiKFCZeey6D1LeHSnj8f+vY67bjgbd0zsQHdLCCGGpP5a6lkGFPV4Xxg61tPHAANgjFkFxAPy8fBItmMTdLTjuvYTqA9+DHXRFWHferChE4Dzx6XR6guypbINl4LMhMH0WYcQQoiTyVh4FjdmNrIxJpd//XPlQHdHCCGGrP4K/NYCk7TW47TWsTjJW57tdU0xcCGA1noaTuBX3U/9EwPE1lYT+OrHsKX7jz1XegCUgrETcV10FWr0hLCfW9fu7OlbVOgsC3qzpIWsBI8UahdCiCHo0svP5cy2Yn7flsuB+o6B7o4QQgxJ/RL4GWP8wK3AC8AO55DZprW+R2t9ZeiyLwKf0FpvAv4MfNQYIzu5hzm7byfUVWPXvn7subID4B2Fios/5QUYzqYAACAASURBVOfWtftxKZidm0isW+EPWnKSJbGLEEIMRUopPpNRTXJXGz96rYxOf/DkNwkhhDhKv617C9XkW97r2F09Xm8Hzumv/ohBorwUALv9Lbj6Q0efKzsIBWNP67G1bX7S4z3EuF18fWkhxQ2dzBqV2MfOCiGEGCgZU6dx6xN/4juzP87vN1bziTNHDXSXhBBiSOmvpZ5ihLO1VcdPxV0Z2up5cA+2penI9b5OqCxHFY45rfbq2v3d+/nm5SVx1bRMxmee+syhEEKIQWLiNM5o3Mtl7gr+9XY926raBrpHQggxpEimCxF1tryU4LduxfWZr8OchUefqyiFlDRobsRuWottrIP4BNSEaWCDqILTD/xGydJOIcQQoLW+BPgZ4AYeMcbc2+v8aOBxID10zddCq2hGFBWfAJNmcMOmJ1m36Es88GY5979nLClx7oHumhBCDAky4yeizu7YCDaIPVRy9HFrofIQ6sxzoGgc9o8PYf/2BPa/zzr7++C0l3rWtfvJkgyeQohBTmvtBh4ELgWmA9dpraf3uuwbOHvj5+EkR/tl//Zy8HC9+yoSag5xe2oFVa1+vr2ihMYO/0B3SwghhgQJ/ETU2V1bnRd11dj9u7GVhwiuepng/7sNOjsgfzSuz9wJCYkQnwDVFbB9I8QlwCinYPu2qjYaevxw9wWCvFnSTPA4y0d9gSDNnQEp3SCEGAoWAnuMMfuMMT7gSeCqXtdYIDX0Og041I/9G1xmnQkFY5j29E/5Quub7K3t4PZ/72dXTftA90wIIQY9CfxEVFlrYdc253VdNcFf30fw/q9h//grJ3kLoEYVoLJycH3vN7hu/rJz7frXYfxklMtN0Fq+/p9iPvmPfd3PffVAE99/tYw/bjq2IHR9qJRDZqIEfkKIQa8A6LkcojR0rKe7gQ9prUtxkqR9tn+6NvgopXB96g7UORdx1sbl/OCtXxDra+eu/5XwRnHT8feSCyGEAGSPn4iwwA/uQC04D9f5lzkHKkqhuRGUCw4VQ22VczwmFnXxe7GrXobR4wFQcXHYw7X6/H7U+CkAtPictN0d/mB30pZdNU4dp6e21ZKd5OHlfU3Mzk3k9gu91LWFAj+Z8RNCDA/XAY8ZY36ktV4MPKG1nmmMOaamgdb6ZuBmAGMMXq+3Tw17PJ4+PyPivF6YMZvA9TcT98iP+c5r93PfhV/nvpWHWDIhi29ePJnE2FPb9zcoxxkFI2GcI2GMIOMcbvprnPKbsYgY6++CXduwyWkQCvxscWiWbtJ0CC35VFdch5oyCzVlJvb9N6LUkaLqKi0DUtOhqcFJ8AJHLfF8YXc9183OZk9dB9OzEwB4aE0lAPvrOzh3cgN/3VYLSOAnhBgSyoCiHu8LQ8d6+hhwCYAxZpXWOh7wAlW9H2aMeRh4OPTW1tQcuyriVHi9Xvr6jOhxYW/6AllfuYnvV/6Tfy91yjy8/3drWFyUwpKxqczICa+Mz+AeZ+SMhHGOhDGCjHO46es48/Pzw7pOlnqKPrHBILY5VIahqcH5s7r8yAUNThCmJh7JVaAWLUVNmem87hH0dQvNABKa8WsILd1MjnXx1LZaNle0crChg6nZCXxtSQEzchJYNiWDzoDltme2sq2qjXEZceSlxEZwpEIIERVrgUla63Fa61ic5C3P9rqmGLgQQGs9DYgHqvu1l4OUcrlQ8xbh3rqO905M5jsXjWZmTiIr9jfy9f8U8/u3qo67F1wIIUYiCfxEn9j1rxP82k1O8Nd4OPCrOLLPor7WSdJSMNp574kB74mL7qqzL0QtvQSVlAxAQ0cAgG+cX0h2UgzfXlGKPwgTs+JJi/fwvXeP4ePzc5iUFU9KnIefXjaOn142jjiP/PMWQgxuxhg/cCvwArDDOWS2aa3v0VpfGbrsi8AntNabgD8DHzXGSDQTouaeBb5O2P4WM3IS+cp5Bfz+mkm8Z2I6T2+v4/6Vh+j0H7MqVgghRhxZCyf6prwUfD4oO+Bk6AToaIeWJkhJw9bXQkYWKjMbC5BbgHKfeO+Fa8F5sOC87veHl3oWpsZx59JCvvLCQXwBy6TMhO5rlFJ88/xCUtMzUB3NER6kEEJET6gm3/Jex+7q8Xo7cE5/92vImDITUtIIrvwP7rlnARDncfGphaMoSI3ldxuquPO/XXx9aSEZ8W66gpZYt3wwKIQYeSTwE33T7Mzy2fIS6BnQVZU7hdkbnMCPzGwAVF7R8Z5yQvXtfjwuZ6lnSlwcdywpYE1pC9lJR//zTYv34E2Oo0YCPyGEGDGUJwa19FLsv57EVpRBdi60taJSUrlqWia5KTH8+PVDfPWFAyTEuClr8nF2UQqfWjSKxBg3nf6gZAMVQowI8pGX6BN7eF/foZIjSz0BW13hvKivRaVnQXoGpGXAxGmn3EZDR4C0eE/3fsDZuUl8/MxRx98fKIQQYsRR77oUPB7sv54k+Kt7CX7jFmxzIwCLClP4zkWj6QxYGjr8XDg+jdeKm7j7pRL+saOODz+1m9+tLjlJC0IIMfRJ4CdOWeCh7xP8y6POmybnB6stL4GmeqcAOzj7/IIBaKxzlnq63Li+/xvU4TIPPXQFLF96/gBvlbd2H9tY3soXntuPLxCkscNPerxMTgshhDg+lZqBuuQa7OpXYONqaGvBLv9r9/lJWQn8ctl4fnXleD69KJevnFtAcYOP326owgJ/2lBGU48M0kIIMRzJb9Pi1G1YhQXsWUuPZPI8VIxNTHKWdLa3YfftRFVVQDDoLPUEVMzxs2zWtXexu7aDLRWtzMtLAmBbVRt76zopbfRR3+4nQ0ozCCGEOAG17Frs3p3g70Jl52FfXo6dOA0139kemRx3ZDvC4tEpnJGfxIGGTmJcii88d4Bb/rmPMWlxfHpRLkVpcQM1DCGEiBr5bVqcEuvr7H4d/NsTTnF2t8f5s6wYsrJRk2diVywnuPVTAM5SzxM4nLWzuvXIp611oRIOxY2dNHQEGJ8ZH+mhCCGEGEaU243r8/eADTofQFaWEfzVfbi+/iPUuEnHXB/ncTHF66xS+fS5Y9lWWsf68lY+v/wAS8elcqC+k5vm54RdC1AIIQY7WeopTs3hGT63G/a9De2tMH6yc6zqECo1HXX9J1E33n7knowTB371oSCvuq2r+1hdWyjwa+ikQZZ6CiGECINSCuVyo5JScN32LWff39pXu8/b5kZsWfEx910/v5DPn5PPA5ePY15+Ev/d20hFi4/vrihlfVmLJH8RQgwLEviJUxPaLM/kmdDeBoBacB5kep3jaRnOD97FFxy55ySB3+FyDdWtRwK/2lAwuL26naCF9PgTl4AQQgghelKJSTBtLnbDqu7ALfjYzwnecxvBlS8e9570BA9fX1LAX6+dzE8uHUdKnJt7VpTy49fLOVDfwa6a9u5rJRgUQgw1EviJUxOa8VNTZnUfUhle1AXLnDd+J2BTSuH66r2o8y6GlPQTPrKh3VnqWdfuJxC03a8BdlQ7P2RlqacQQohTpeadBbVVULIf29IE2zaAJwb7x4ewHe3Hv0cpYt0ucpJjeGDZeK6b7eXVg03cvvwAX3vxILtr2ylv9vGhp3azulTKBwkhhg5ZPyfCYttaCP7qPtQ4Z1mnmjKL7s86U9JQM86AupojASCgJk5HTZx+0mcfnvELWifgS49309wZINat8AUsRWmxTM9OOMlThBBCiKOpuYuwf/oVdsVyGDsRAgHUxe/FPvc01FRC4dgT3h/jVlw7y0tucgw1bX6e21XPD147RG5yDC2+IM/vamBhQTIHGzrxuBSFkhRGCDGISeAnwlOyH3ZswpaXOu9Hj4eERGe5Z2o6KiYGdd3N73i7tZZv/q+Es4qSWTYl86hzDT1SaP/49UOkhzJ4Ts9JZGN5K5dOypCafUIIIU6ZSklDLbnECfx2bILcAtS8s8MO/A47f1waALNGJfLtFaVsqmgjK8HDxopWvvLCQXbVdpAY4+KBZePISoyJ4oiEEOL0yVJPEZ7De/saaiE+ARUbB3lFzrHUEy/lBGj2BdlS2cZv1lXxVnkrVS1dvFniLJGpbw+QEdrDt726nTeKnePvmZjGh+Z4uWhCWuTHI4QQYkRQl74fPDHg68T1oU+DdxQAtqbylJ81xZvAzy8fx8fn5/CN8wsJWthX38kNc7z4g5bfrKuKdPeFECJiZMZPhMU2Nx15Ewr0VMEYbHkJKu7k++/qemTsNFtqyE2JYcX+Jp7Uk2no8DMxK4G1ZS1H3ZOfEsvZo1MjMwAhhBAjkkrPxPWtn0NSCiop2UnKEpfgzPidhswED1dMdVaufGx+DuMy4pg1KgkXiic2VbO6pJlFRSmRHIIQQkSEBH4iPIdn/ABSnBk4teyDqIVLwrr9cLKW6dkJvF3TTlmTj6CFsiYfDR0BFhTGkBbvJjc5lt21TibPTCnaLoQQIgJUTt6R10qBN+e0Zvx6u3Lqka0L752eyasHmvj12kpm5yaRECOLqoQQg4t8VxLhaekR+B2e8cvMRk2dHdbthwO/CyekEbDQ2Olk8txT10GHP0hGvIdvnl/IV8/LZ1JWAh6XIiVOSjgIIYSIguzc7hm/4OpX8B+ntt+p8rgUn1wwitp2Py/vbzz5DUII0c8k8BPh6bHUU4XKM/gCQapbu7DWcqC+44Q1jQ4XZD97dApxbidRiwK2VDi1ANPj3UzKSiArMYarpmVw2eR0SegihBAiKpR3FNRUYksPYB/5EfV3fgpbUdrn507PSWBiZjzP7qzjgTfLMVtraPEFItBjIYTou7ACP6317Vprb7Q7IwYf296GPbgH29wIGaF/AqEZv1+uruBTz+7jp6vKuX35AbZXH78mEjgzfilxbhJj3MzLT2J8Rhz5qbG8Ve7s6+uZBe2c0al8bP6o6A1KCCHEyOYdBZ0d2H8b8Hiw1hL8/pexW9b16bFKKZZNyaC8uYtXDjTxx001PLi6gs0VrTy8rvKoLNZCCNHfwt1EdQHwXa31CuAJ4O/GmM5TaUhrfQnwM8ANPGKMubfX+Z8A7wq9TQRyjDEnTxcp+sQ21EFjPWrMhGPPdXUR/Om3oHgfZHphzATU2Rfwy5QFpLxVxcqDzfiDlhX7ndnA/fUdzMhJPOoZ5c0+HnizHH/wyJ692xfnEQjCA6vLebPJR3q8+5j7hBBCiGhRYydhAbvuNdTCJWTe+Flqv/Mlgr/7Ga4fPoZynf5WgyVjU/EFLGfkJ/HPnXX8e1c9++s7KG/uYuWBJm4+cxTnjkmRVS1CiH4X1oyfMeYqYAzwHPA5oEJr/YjWOqzMHlprN/AgcCkwHbhOa31UZW9jzOeNMXONMXOBXwDPhD8McbqCX/4owe98/rjn7N+fgH1vg78LqspRKWkEr7yBlysDPLO9Dn/Q8rUlBXxwVhZJsS5KGn3HPGNjeStbq9rZWdNOVijwS4xxkxLnpijVKXT77gnpxLjlB6AQQoj+oSZMxXXbXTBhKuo9V+PJLcC17INOIrPdO/r0bLdL8Z5J6WQnxXDB+DT8QShv7uIDM7IYlRzDD18/xH0ry9hwqIVA8J23SAghRKSFnTbRGFOLE7w9qLWejTPzd6PWugT4DfAzY0zLO9y+ENhjjNkHoLV+ErgK2P4O118HfCvcvonTYzuPTNraYOCoTzitvwv72n9hzEQ4uMc5mJJGRbMPfxCyEj1MzopncVEKi4tS2FzRRkljj+dZiwUqWo6UcchMPPqf28xRiby4p4H3TJKJXSGEEP1LzToT96wzjxyYOR9iY7HrX4NJ0/o063fY2Ix4xmXEUd/u54Ozsrhutpd/7KjjT5trWFXSwqWT0rllYW6f2xFCiHCcUr58rfWFwIdwgrZ1wP1AMXA7zmzgee9wawFQ0uN9KbDoHdoYA4wDXjqVvonTsHPTkdetLd1lGgDY9ha0teC64lqCv74funyQkto9q/f1JYVMyIzrvrwoLZY3S5y4P2gtP3r9EDWtftITjvzg7F2eYW5eEo9fM1GWuwghhBhwKj4BZs7Hvrwc+8ZLqKs/grrg8j7/jPryuQV0BYLEuJ1FVu+bkcXFk9L55eoKVuxv4kNzsglaS2q8lDASQkRXWN9ltNY/BK4FGoHfA98wxpT1OP8mUB+hPl0LPGWMOW4aLK31zcDNAMYYvN6+5ZzxeDx9fsZQcLxxNu7cREfodYbHhafH+YaNb+JLScO79GJ2vfBv/uCaSGzXeJKaggDMGZ9HQsyRoG5qficv7mnkqbdb2FHZwrqSZgByU+KIcSu6ApbR2elR/7seyV/P4UjGOXyMhDGKoc911Q3YUfnY4n3YJx8GXyfWOwo1ejxqVP5pPbMgNfaYY8mxbi6bnMHrxc3c/I+9JMW6+PVVE3DJB6FCiCgK9+OleOBqY8za4500xnRprc883rmQMqCox/vC0LHjuRb4zDs9yBjzMPBw6K2tqak5QbMn5/V66eszhoLjjTOwcQ0kJkFbK/XFB1AJKVS2+MhJiiG4fSNq2lxqGxr4z6j5vOSZjKqzUFdOTlIMrY31tPZ4VqbHyVT2xLpScpI8zM1NZGNFGxXNnVwwPpXaNj/jkoJR/7seyV/P4UjGOXxEYoz5+af3i7cQ4VL5o1Hv+z8ny+ev78M+87hzYsF5qJu/HNG2puckkJscQ0VLF61dQfbXdzIhMz6ibQghRE/h1vH7PrCn5wGtdYbWuvunsDFm5wnuXwtM0lqP01rH4gR3z/a+SGs9FcgAVoXZL3GabGM91FSi5p3lvG9qoPrtXdzy7D5eeLsW6msh9OnmxvhCJjSXsiDThcVZ1tnbmPQ4XArOH5vKw1dN4IvnFnSfm5AZzz0XjqYwLe6Y+4QQQojBRimF6yO3wtxFkJWDLT0Q8TZcSvGtdxXx/XePBmDDoaPTJPx8VTmPv1UV8XaFECNXuIHf33Fm6XoqBP4Wzs3GGD9wK/ACsMM5ZLZpre/RWl/Z49JrgSeNMZLmKtr2OnG6mutstbSrX+Hgow8TtPDvrZVYa3kxfhw/X1XO24FE5iZ1celMZwN60XECuMwEDz+/fBy3Lc5DKUVqnJvcZKc2X27ysYGiEEIIMZipxGTcn7kTtfhdUFGG7To2c3Vf5afGMj0nkQmZcbx6oIlfrangh6+Vsb2qjZf2NfLM9jrWl71T3jwhhDg14S71nGKM2dLzgDFmS2iGLizGmOXA8l7H7ur1/u5wnyf6xu7dCR4PTJsHSsHOzVRkzQOguNPNjrSxvNCWzr7qRgDmXbyEGTmJvH+Gj6VjU4/7zN4B4YTMeCpaushNiTnu9UIIIcRgpwrHYm0QDpVgE5Owzz8NHe2oG25BJSZHpI35+cmYrbVUt/rpClo2HGrF4mTQ/u2GKuYXRKYdIcTIFu6MX5XWemLPA6H3tZHvkoi24BsvYTetgdETUHFxkJQCnR1UpOUTG/ST4O/gf7kLKG6DtHg36fFupnoTcCnFh+dmMzo9vCWb8/OTSI93MypJZvyEEEIMUQVjAbClB7DPP41d+SJ2zavYzesi1sT7pmdx9wVF/P79E7lmRiatXUGK0mK5elompU0+KpojP9sohBh5wp3x+y3wtNb6TmAfMAH4NvBItDomIiP4h19imxrgrh8DYGsqsb/7KQDq6g8DsCrvDP6YsYBsVxejaCev4SArR83Db+GWBaNYUJByWgXWLxifxrvGp0mWMiGEEENXTi7ExsKB3dh1r6EWnIfdsh52b4Ozzif49z9AWgaud11+2k0kxLiYl5cEwJVTM3lxdwMXjEvjjPxkWF/FnzbXUNPWxR1LCkmJ63t9QSHEyBRu4Hcv0AX8ECc7ZwlO0PfjKPVL9IG1ln+9Xc+8ZD+1W/bQ4orn8oN7ISkNQhvUXV/+PmryDABeyZzJoYRsyq3lzIQ25uzZzRrvTAAmZSWcVtAHzuZ4CfmEEEIMZcrlhsJx2Nf/C10+1OILsO1t2N3bsR3t2Beegew86EPg11NyrJvfvHcintCarNzkGF450ATAS/saafcHOXd0iiRME0KcsrACP2NMEPhB6D/Rzzr9QYLW+UTwndjyEuzmtbje8z521XbwyPoq5nua2D9FUxeXTvzyV5j/gSuxZQdpikkktWgsvq4gAWvZGp/nPEMp8jKSmFu/C4C0ODfeRCkoK4QQYmRzXX8LwUd/DF0+mDYHVbIfu2Uddu1K8PuhohTb0YaKT4xIez0/cJ2fn8TyXQ1kJXp4YmM1XUFLRbOPz50t5U2EEKcm7N/qQ2UYpgBeODKRY4x5KQr9Ej385I1y6tv93PeeMe94jX39v9gX/oZdegnP7WoAYL0/FeIg3Xbyw7bRPNruo6OsnE8uvpNPHupi5YFa9tZ30qZiiAv46HTHkpubRW6ghTzVwehsL0qWaQohhBjh1JgJuO7+OXT5UW43TJ6BBew//uRcYC0c3AdTZka87etmZ3Pe2FQONnTy0JpKXApWl7bgCwSJdYebqkEIIcIM/LTW5wJ/BeKAVKAJSMFZ8jk+ar0TAFS1+thb18nu2nYmZSUc/6I6pzByTXUDrx1s5sz8JNaXNZOpuvjCWB93Hkzh1fV7iG1S+JJi2FTRxvbqdnwBiwvLstKVPD3mQvLSE3B/4yf8v9g04pLeoS0hhBBH0Vp/AXjJGLNRa30WYIAAcL0xRmrTDgPK5YbD++vGTYI5C2HTGpgyC97egj2wGxWFwC8lzs207ETGZ8RT1dJFYVocP1tVzluHWllUlBLx9oQQw1e4HxX9BLjfGJMJNIf+/Dbwy6j1THRr8QUBumfyALZXtdEVOFLu0NbX0unycO/6JtwuxU2TYrlh//N8LLOB6fOmMqalnOeL29no8gKwuqQZX8By7pgU9NhYlk1I4aLxqUzLTkTlFTIqK4X0eFnmKYQQYfo8sD/0+vs4e+C/A/x0wHokoka53Lg+dQfquptx3fApyMqB/bui2macx8VH5uWwZGwqafFuHllfyd66jqi2KYQYXsIN/CYDP+t17F6cH3Qiylp9AQBWHmyipTNAVUsXd/ynmOd213dfY+tr+OWUD7C31fKFc/LI76jjfcUrOLswGVdSClcEDrDfJvFa9hwUls5Q0HjdbC/XnTOBzA9+hM8uzj/hPkIhhBDvKM0Y06i1TgHmAL8wxjyKs0VCDEPK7cZ1wTJUXiFq3GTsnh3YtlaCr76ADQax1p78IafB41J88/xCghbuebmEls5AVNoRQgw/4f6W34izxBOgXGs9HcgApKJolAWtpa0ryIKCJHwBy0v7Gylt6gRgw6FWAGwwwIrY0awcNY8b0ptYVJiCra1yHpCVDcDlkzNZWLOVgMvN4gInZXRijIv8FKmxJ4QQEVCitT4buBZ41RgT0Fqn4iz3FMPd3EXQWEfwoe9jn3gQNq8l+JUbCb72n6g0NykrgTuXFtLUGeDRDZVRCzKFEMNLuIHfM8Blode/BV4G1gNPRaNT4oiOUEbPmaMSmeKN57ldDZQ3dwGwraoNXyAITY1sTJ9EVkcD73OVOjd2B345ACQv+wCfm5HAR2dncuOZThbPiZnxUmNPCCEi48s4PxPvxNkKAbAMWDNgPRL9Rs1ZADGxsHMzAMFnfg8NddiNq6PW5vjMeN4/I4uX9jXxuw1VEvwJIU4q3HIOn+vx+oda6zdxkru8EK2OCUdraH9fUoybC8en88s1FbxV3gKAL2DZXtXOnI4a9qQUMbG5BNXinKO2CpJTUXHxALiSU0m66HKuDj13QUES8/NlwlYIISLBGLMc6J1f/6+h/05Ia30JznYKN/CIMebe41yjgbsBC2wyxlzf1z6LyFHxiTBrPmxYBSlpUF7inNizAxsMolzR2UZx/Wwvrb4A/9hZz8SsBJaMTT35TUKIEeukgZ/W2g3sAqYbYzoBjDGvRbtjwnF4f19S7JFlmW+Vt5KTFENdu581ZS1MCNZSnujlgoq10OzM4Nnaqu7ZvuP5xvlF0e+8EEKMEKEtELXGmEqtdTLODODhGrhdJ7jPDTwIvBsoBdZqrZ81xmzvcc0k4A7gHGNMvdb6nb+5iwHjulxj88dAXBz26cchIRFam6GiFPJHR6VNpRQfmz+KPXUdPLy2gvGZcRSmSmF3IcTxnfQjKGNMAGePQnz0uyPAKdj+wJvlNHUGjsz4xbopSosj1q3wB2FMehyLi5JZsb+R7dVtAEygGdvS5DyktvqEgZ8QQoiI+jOQHnr9Q2AJcBbw65PctxDYY4zZZ4zxAU8CV/W65hPAg8aYegBjTFXEei0iRo2egOuq61FzFoHbjbrqBgDs7u0nubNv3C7FbYvzUErxxecOcO1fdvHPnXVRbVMIMTSFm6//p4DRWn8P5xPJ7oXkxph90ejYSLa3roP/7G1kfn4yh1eHJMe6cbsUEzLj2VHdTm5KDIsLU1h5sJknujIAmJjiguZ6bEc71FahZp85gKMQQogRZawx5m2ttQLeB0wH2jlS4uGdFODUxD2sFFjU65rJAFrr13GWg95tjHk+Ir0WEafyCnH9+AlISMI+9xTs2oYdNxl7YBeuJZdEpc3C1Dh+dMlY/ripmk0VrawqaeaKqZlRaUsIMXSFG/g9EPrz3b2OW5wfQiKCOvzOLF9rV6A7+UpSqMzCxFDgl5ccy/ScBMamx3GgAUZ31JCSkoitOEDwdz8Fvx81Z+GAjUEIIUaYjlAph+lAsTGmRmvtITKrZTzAJOB8oBB4VWs9yxjT0PtCrfXNwM0Axhi8Xm/fGvZ4+vyMoSDy43Se1ThnAb7N6/AEuvBtWEXme67ClRSdouteL3x3bB6/eHUfz2wuJzU9k1jP0Qu7RsLXcySMEWScw01/jTPc5C5S3K0fdQd+viCuUNLNpFgnvp7gdpZ1jrJtKJXBd989msqffA9vvILcPCepS20V6v0fRU2eOSD9F0KIEehPwEs4ic8Of1h6Bief8SsDem66Lgwd66kUWG2M6QL2a6134QSCa3s/zBjzMPBw6K2tqak5lTEcbsBhfwAAIABJREFUw+v10tdnDAXRGmdw/DTsqy/i27AKrKV2zRuoWfMj3k5PY1MUvoBl9e5SpmUnHnVuJHw9R8IYQcY53PR1nPn5vXOLHZ8EdINQh99ZSdviO7LHLzE043fWlue4Yd9zzDq0EXBmAseWbSfF64WUUDavhCTUhVf0f8eFEGKEMsZ8HqeUw6eMMYcDvyDw+ZPcuhaYpLUep7WOxakD+Gyva/6OM9uH1tqLs/RTtlkMAWr6XOdFqNSC3bMj6m1Oy04A4NH1Vfxug2wHFUIcEdaMn9Z6JT329fVkjFkS0R6JHjN+AVwuRYLHhdulsG2txK5+mWt8nahsH1xwuZMxrL0VsnPB1wGAmrsQ5YkZyCEIIcSIY4x5UWs9Wmu9GCgzxqwL4x6/1vpWnPJIbuC3xphtWut7gHXGmGdD5y7WWm/HSbb2ZWNMbRSHIiJEZWRBXhE01kNWNnbPdmxzE8HHfgaN9bgu+wDqjMURbTM93kNhaiy7azvYXdvBuWNSmJSVENE2hBBDU7h7/B7p9T4X+Bjwh8h2RwB0dPVY6ulSJMU6s312wxvg64SCMdhdW51irdWVAKicXPDmYt98BXWllHcSQoj+pLXOw8nIeRZQB2RprVcB1xljDp3o3lANwOW9jt3V47UFvhD6TwwxLn0TdLRj9+7EvvI8wQe/Awf3Qnw8wVeexx3hwA/gjiUFtPiCfHtFCU9tq+WOJYURb0MIMfSEu8fv8d7HtNZPA78D7ol0p0a69l7JXQ7v76PsIMTGoS5Yhn3iQagow1aXO+ey81AFY3B/56EB6rUQQoxoDwGbgMuMMa1a6yTge8CvgCsHtGdiQKmZoT196VnYNa/C3p2oGz8H+3dhV72MDQRQ7sjmyStMc2r5LZuSwZNballd2szCguSItiGEGHrCnfE7njJgdqQ6Io7o9B8945d8eMav8hDk5KEmz8QCds92aAoldfPmDlBvhRBCAOcCeaEELISCv69wbKIWMUKpidNw/fBxaG9FJSYTdLthxXIoPQBjJkSlzWtmZLG2rIX7Xi3D7VJ88mwfF42WAu9CjFTh7vG7qdehRJw6RW9GvEeiO7mLE/hBdlJov15VORSMgZw8SEiE4n3Q1Qlpmag4+UYuhBADqB6nlMOmHsemAMeUXBAjl1IKEp2ZNzVpeveHuCpKgV+s28XXzivkL1trqGnz84uV+3kmNZZrpmdy4YT0qLQphBi8wp3x+3Cv963AG8BPItsdAUeWerb4ArhdMCY9DhsIQE0F6oyzUC4XFI3DluwD5XISuwghhBhI9wP/1Vo/ChwExgA3At8c0F6JQUtlZkNmNnbXNuySS6DqEKpgTMTbyUmO4bNn5REIWv5T3MlTb5Xy3O4GCfyEGIHC3eP3rmh3RBxxeKlnsy9A0FqyEjxOfb5AAEYVAKCKxmNXvgDBIOqCZQPZXSGEGPGMMb/RWu8FrsfZBnEo9HrpgHZMDGpqxjzsmpXYpx/DrliO695HUemZUWnL7VJ86MxCqhua+dv2Wjr9QeI8UtVLiJEk3KWeHwE2GmM29zg2B5htjHkiWp0bqQ7P+PkCzpLP3JRYqNoLgMoJFWgsGg8+n3NszqL+76QQQoijGGNewiniDoDWOg54EbjrHW8SI5o681zsyhexL/0LrMVuWYc67+KotjktO4GnLOyp7WDGqMST3yCEGDbC/ajn20BJr2MlwHci2x0BR8o5HJabHIOtDGXvHJUHgCoa57xPToGJU/uze0IIIcKnBroDYhCbMgtS0pwC7x4PdvNJSz/22WSvU9NvR0171NsSQgwu4e7xSwWaeh1rBMJeIK61vgT4GU6B2keMMfce5xoN3I1TLH6TMWZEFqTrDCV3OSy3thgqSyE+AVJCf+X5RRATi5q9EOWKbBpoIYQQEWNPfokYqZTbjTrvYuzW9ahxk7FvrsB2+VAxsVFrMzXOTWFqLDur24AsrLVO0hkhxLAXbuC3HbgGMD2OXQ3sCOdmrbUbeBB4N1AKrNVaP2uM2d7jmknAHcA5xph6rXVOmH0bdtq7/CT722nxJOAJ+kn/39+wbc1QNK77m7PyxOD60nclsYsQQgwgrfUFJzgdvd/exbDhuvrDcPWHsTs2YV95HvunX8NHboXWZucD3rj4iLc5Ly+J53Y38O+363l2Zx33XFjEqGT55yrEcBdu4PdVYLnW+oPAXmAicCFwWZj3LwT2GGP2AWitnwSuwgkoD/sE8KAxph7AGFMV5rOHnY72TrI6GmhJTmCU6sS9dzt0daHOv/So69T4KQPUQyGEECGPnuR8cb/0Qgx5atoc1LIPYv/1F6dOb00lTJuL+zZni6htaiD46/twfegzqLzCPrV12eQM/vl2PQ+vqwTgDxtr+OK5+X0egxBicAs3q+drWuuZOBnKioA1wO3GmN77/t5JAUfvESwFemckmQygtX4dZzno3caY58N8/rBhg0E6ApYsT4CDQG6iC9panZNjJg5o34QQQhzNGDNuoPsghg915fWQk4999XmIjYMt67DlJai8IuyGVbBrG/alf6FuuKVP7eSnxrKgIIm1Za0sLEzm1YNNXD09k/GZkZ9dFEIMHuFm9YwDynvuy9Nax2it44wxnRHsyyTgfKAQeFVrPcsYc1TxW631zcDNAMYYvF5v3xr1ePr8jEhqW/cGPlcMuQW5UAtj8rO7z2WesQjPafZ1sI0zWmScw4uMc/gYCWMUoq+UUqjF74LF78I2NxL8yk2hQO9T2K3rAbBrXsXqm/q8D/CTC3K5ZFInU7MTuPGZPby4p4FbFsr2ESGGs3CXev4H+ArwZo9j84F7cQK1kynDmSk8rDB0rKdSYLUxpgvYr7XehRMIru15kTHmYeDh0FtbU1MT5hCOz+v10tdnRIq1lpa/PA6FHyYzP4e0lkbGjUqGxGTAUu+JQ51mXwfTOKNJxjm8yDiHj0iMMT9flqKJkUOlpKEWLsG+8RJ22bWwYxMUjIGyg9i33kQtXNKn52cnxZCdFAPA2UUpvHqgiaCF+QVJLCpMicQQhBCDTLjlHGYBq3sdWwPMCfP+tcAkrfU4rXUscC3wbK9r/k4oiNRae3GWfu4L8/nDwv9e38pt2VcAkJIQw+PXTOS8sWmoMxaj5iyUrFtCCCHECKIuXAa+ToIP/wB8nbiu/gjk5GFfeAZrI5cw9qKJabR2BXlhTwOPbaiO6LOFEINHuIFfIzCq17FRQGs4Nxtj/MCtwAs4mUCNMWab1voerfWVocteAGq11tuBl4EvG2Nqw+zfkBS0ln/sqOOhNRVsPtTMqu1l1MU55RriPS5nyYdSuP7vs7hu+vwA91YIIYQQ/UmNngCTpsOurTBxOsyYi7rsA1C8D7ZErubfzJxEPnFmDu+bnsmhZh/bq6TGnxDDUbhLPZ8G/qS1vg1nFm4C8BPgr+E2ZIxZDizvdeyuHq8t8IXQf8OatZby5i7+u7eBp7fX4XHB3gMVVHsyu69J8IQbkwshhBBiuHJde7OztPOy96M8MbDofOzf/0Dw9f/inr0gIm0opVg2JZNOf5Dndzfw4p4GZoxKjMizhRCDR7iB353Aj3CWd8YD7cBvgW9EqV/D2qaKNr71kpPk9F3jUslJjuEvW2qhR62eOAn8hBBCiBFPjR6PGj3+yHuPBzVjHnbjGmwwiHJF7veFOI+LpWNT+d++RmbtbeD53Q3cc2ERiTHuiLUhhBg4YX23MMZ0GGM+AyThLPFcDHQCu6PYt2FrT20HAF9fWsCtZ+UxLy/pmGsSYiTwE0IIIcRxTJ7lFHgvOwiA7WiL2KMvnpiOL2B54M0Kdtd28NK+xog9WwgxsMKOLrTW2cBtOHvx3gLOBG6PUr+GteLGDrJiLAsLkvG4FJMSAiT623FhSY51viSxbknkIoQQQohjqSmzALBvbyb43FMEv/h/2Kb6iDx7fGY8EzLjsUB2ood/7qwnKMlehBgWTrjUU2sdA1wJfBR4D7AH+DMwFtDGmKoo929YKjlUS1HlfuyqctTZF+CuOsTCmm1Uj5/LOdNzeXhdJWnx4a7CFUIIIcRIorKyITsXu+J5qKmEgB+7aS3qvIsj8vxPnJnDgfpOUuPd3L/yEP9+u54rpmae/EYhxKB2shm/SuDXwNvAWcaY6caYb+Ms8xSnIWgtZV0eClursG/8DwBbUcan336KuxelcfmUDMwHJ5OZIIGfEEIIIY5PXf1haG+FpGTI8GI39q66dfqmZSdy6eQMzi5KYUFBMo+9Vc3PVh2itFF+/RNiKDtZ4LcZSAcWAQu01hnR79Lw4A9a/vV2Hf7g0csjqlu76LQuitoqYfc2rK8TKkrxuBQxOXmAJHYRQgghxIm5FpyH677f4vrew6gzFsP2jdiOyJZhUEpx2+I85uYm8kZxMw+tqQCQOn9CDFEnjDCMMefjlG54EfgSUKG1/idOkpeYqPduCNta2cZv1lWxpfLoDdcljT4AilorIRiErRuwlWWQnYvyyCyfEEIIIcKjPB5UXLwT+Pm7sOvfwO7YhK2PXBnk1Dg333xXEdfO8rK1qp2vvnCQu18ujdjzhRD956RTS8aYg8aYbxtjJgEXAuVAENiktb4/2h0cqho7/Ef9eVhxg7NMotDVAW4Pdt/bcKgEcgv7vY9CCCGEGAYmzYD80U59v5/chf3nnyPexLsnpBPvUeysaWdjeesxv98IIQa/U1pTaIx5zRhzM5ALfBaYFZVeDQPNvgAAjR2Bo47vqetgVKCF5OREKByL3boeKkpR46cORDeFEEIIMcQppVAXXQkNtWCt86FyhCXHufnyuQV8ZG424KxsEkIMLae1ttAY04GT3TPyHykNE82dTsDX1Hls4DehsxqSU1Cj8rGvPA+Amjyj3/sohBBCiOFBLVoKxfucsg5vrcZ2tKPiEyLaxpkFyczLS+KvW2vZXNnGOWNSI/p8IUR0SRaRKDkc+DX0WArR1BmgsqWLiS2lqKQUGDvJOREXD2MmDkQ3hRBCCDEMqNg4XDfcguvcd4MNwsG9UWnH7VLMyEng1QNNfPG5A9S2dUWlHSFE5EngFyXNnUHg6Bm/PbVOtq0J9QecGb+xoWBvwlRJ7CKEEEKIvgt9qGz3R36552FLx6WRHOvmQEMnf9hUHbV2hBCRJYFflDQdZ4/fnroOACZU74GkVMgbDVk5qHlnDUgfhRBCCDG8qJQ0p7j7Gy9hK6KTfXPJ2FR+894JXDElg5f3NfFGcROvFzdJnT8hBjkJ/KLkyB6/I0s9d1S1U5TiIdHf7sz4ud24730E1/mXDVAvhRBCCDHcuD74CWisJ/jdL2J3bo5aOx+YmcX4zHjuW3mI+1ce4oevH5Iaf0IMYhL4RUl34Bea8fMFgmytamNORuivPClloLomhBBCiGFMzVmA61s/hwwvwQe+i/VFZyYuKdbNvReP5iNzs1k2JYP99Z2sP9QalbaEEH0ngV+UHA78WruC/HlzNX/eXIMvYJmb6BRwV8kS+AkhhBAiOlSmF9d7b4DOdti5mcBXP0b1TVdgN7wR0XZi3S6umZHFjWfkkJ3o4YmN1XT4gxFtQwgRGRL4RUFXwNLuD5KV4CRseXJLLc9sr8ODZaanxblIZvyEEEIIEU2F4wAI/ucfUFdNsK2V4MoXo9KUx6W4ZWEuxY2d/PSN8qPOlTR20tKrvJUQov9J4BcFLaHELgVpsd3HEgOdzGwrJa6t2TmQLLVvhBBCCBFF3lEQnwA7N0NcPAkXLoOdW7CdHVFp7syCZK6b7WVVSTM7q51M5oGg5asvHuTRDZVRaVMIET4J/KLg8DLPwlQn8EuJdfHgm/fyxW1/gJYm5yJZ6imEEEKIKFIuV/esH+OnELfwPPB3OYFglFwxJZOUWBfPbK8F4GBDJ62+IKtLWugKSOIXIQaSFI+LgiOBXxwAc5O6SOtqha5W7K6tkJgEickD2UUhhBCDhNb6EuBngBt4xBhz7ztcdw3wFLDAGLOuH7sohjBVNA67ZztqwjRip8+FuATs5nWoOQuj0l5CjIvLpmTwly21bK5opazJyW3Q2hVkc0Ur8wvk9x8hBorM+EXB4Rp+4zPiyIh3c67/0JGTWzdA0XiUUgPUOyGEEIOF1toNPAhcCkwHrtNaTz/OdSnA7cDq/u2hGPKKnBk/NXEaKiYGps/BblmH7ezE7t+NbW2OeJNXT8uiIDWWH79RztqyFlLj3CR4XKwqiXxbQojwSeAXBQ3tTu0+b1IMj10ziYVVm8ET45z0d6GKxg9g74QQQgwiC4E9xph9xhgf8CRw1XGu+zZwHxCdzVli2FILzkNd+wmYNtt5P+tMqK8h+ONvEPzeFwl+6aPYpoaItpkQ4+Ir5+bT0hlg/aFWpmYnMCcvkS2VbRFtRwhxamSpZx9Za/nb9jrOKkohP7Snb3tVO+lxbjKX/5Hg2InYPTtg6mzYsRECARgtgZ8QQggACoCSHu9LgUU9L9BanwEUGWP+rbX+8okeprW+GbgZwBiD1+vtU+c8Hk+fnzEUDPtxfvBGwBln1tKLqfn9A7DvbWImz6Br1zZSG2qIGz8xok16vXB7u5sfvryXeaOzcLsUb5YcwJ2YSkZi7MkfcJqG/dcyRMY5vPTXOCXw66OSJh+Pb6ymIxDk+tnZBK1lY0UrZyR0wN+fwQK4Pbje/1GC1RVQWYYKLbsQQgghTkRr7QJ+DHw0nOuNMQ8DD4fe2pqamj617/V66eszhoKRNM76IDB6AlSWEfjwrfDNT9G4fROu0ZEN/ADOzfPgOa+AWbmxFDc4ReSf21xMcWMn5U0+Pn9OPsmx7oi2OZK+ljLO4aOv48zPzw/rOgn8+mhjeSsATR3Ovr59dZ00dQaYk+ocVx/+DGreWaiUNHjjJaitgtzCAeuvEEKIQaUMKOrxvjB07LAUYCawQmsNkAs8q7W+UhK8iNPl+shnoK0VlVsAGV4oOxiVdpRSLB7tZDGfkBmPW8FDayqwFiywpbKNxUWS5VyI/iKBXx8dDvwaQ5k8D29cnhN0onZ15jmoUAZP19JLsROnoTzy1y6EEAKAtcAkrfU4nIDvWuD6wyeNMY1A9/ofrfUK4EsS9Im+UGN6zO4VjMGWHoh6m3EeF+My4tlT18H/zc3miU3V7KvrkMBPiH7UbxHIydJVa60/CvyAI590PmCMeaS/+nc6ugLB7o3KTR1+Nle08sz2WhYXpZBRU4d1uSAhqft6NWcBas6CgequEEKIQcYY49da3wq8gPPz8bfGmG1a63uAdcaYZwe2h2K4UwVjsDs2EXzsZ6iLrkQVRm87ytJxqaTEublqWiYr9jexr66DunY/aXFuOvxBfAFLRoJ8OC5EtPTL/1090lW/G2fj+lqt9bPGmO29Lv2LMebW/uhTJBQ3+vAFLDEuRWNngKe21eJNjOG2xbnw5yZITpWyDUIIIU7IGLMcWN7r2F3vcO35/dEnMYIUjoGAH/v6/8Dvh5s+B8oVld9frpyayZVTMwEYlxnHurIWbvnHXqZlJ1DT5ifGrfjpZZIHQYho6a9yDuGmqx5SDhdqz02JoakjQGVLF1O88STGuLEtTZCSNsA9FEIIIYR4Z2ryTMgtgNETsJvXEvzRNwn+6t6T39hHEzLjafE5s3wbK9oobfJxoL6TDYda+PQ/99HU4Y96H4QYafor8DteuuqC41x3jdZ6s9b6Ka110XHODyqtXU7gl58SS7MvQE2bn+ykUL2+ZmfGTwghhBBisFKZ2bi//RCuq66H9jbYtRU2r8U2N2L37oxau+Mz4gFYMjaVWxaM4rLJ6Vjg9xurKWvy8VYoh4IQInIG00LqfwJ/NsZ0aq0/CTwOXND7osFUo0hVOJ9Gjc9JY3VpC0FrGZuT7qRkbW/FM3o86YOk9ojUQRleZJzDy0gY50gYoxBD2rS5kJgMsbHQUEfw/jug8hCuHz3uZCaPsCneBK6YmsGVUzLJSY6hvt3P8l0N7K93yj5srGijoqWL88akdtdJFkL0TX8FfidLV40xprbH20eA+4/3oMFUo6iyrhGAzJhA97EE20lNTQ2BxnqCcfGDpvaI1EEZXmScw8tIGGckxhhunSIhxKlTMTG47vgBJCYRvPOTUFHqnCgvicrWlRi34uPzR3W/z0jwkJngoa7dj0vBiv2NBC20+gLc1OM6IcTp66+lnt3pqrXWsTjpqo/KVKa1zuvx9kpgRz/17bS1+IK4FOQcXt4JZCfFYIMBaG2WpZ5CCCGEGDJUbgEqNR1mzAPl/IpoDxUTfPHv2KaGqLc/MctZ/nn+uDSC1jn2dk1H1NsVYqTol8DPGOMHDqer3uEcctJVa62vDF12m9Z6m9Z6E3Ab8NH+6FtftPoCJMW6SYt3dx/LToyB1lawVgI/IYQQQgw5Lv1xXF/5PsTGYV//H/avv8X+6y9Rb3dBQTJFabFcOyuL/JRYZuYksK++g66AEwXurm3nvpVl3e+FEKem3/b4nSxdtTHmDuCO/upPJLR2BUmKcZEa9AEQH/CRFOuCuibnAgn8hBBCCDHEqEwvZHqdbJ8HdgNg33gJe9UNkJgUtVJVF09M5+KJ/7+9+w6Po7oePv69syutepcsy5K73MC9YJppBmyKMcEMvQcIgTekkQDJL4GQAiFASGihBogDTIBQTDEQG4MxGNu44N4kWbJkq/eyWs19/5i1igtu0q60Op/n0aOdsrPn7ki6OntbAgBPzhrMF3nVrF1cSG5lI9nJkczfUsmSHTVcMKKREamRXRKDEKEsUF09Q9KeFr/YOmd4YmpjBbS0QI0z9k/FSuInhBBCiJ5JpWc6D6JjoakB+ydXoF9+PGCvPyzFSe7+8GkBjywpZPUuZ6bPjaX1AYtBiFAiid8R0o311JWWER1mEFZZSpSvwUn8yorR5SXOSdLiJ4QQQoieqq+T+Kmpp6IuuBwyB6JXfIFuaTnIEztHSpSbjNhwar02n+ZUU1znzKa+saQhIK8vRKjpTss59Cj6my+pq3CRGBOBLi9hYlkV2dU7sJ9bDDmbnZPiEoIbpBBCCCHEEVJ9s9CAGjEaNW4qum8W9lMPOP/nDB3Z9a+vFA/NHIC3RXPLO9upb7YZnhLJhpIGtNZd1uVUiFAlid+Rqqqg1t2faG8dNJTwk41vOhO6AAwahnHWbFRCcnBjFEIIIYQ4UmOmoK64BUZPdrZHjgXDQK/7BhWAxA8gKsxFVBhcMjqZbwrrOD4rlqeW7WZXbTN9Y2V9PyEOh3T1PFLVldS5I4huqIKyUkhOg8goANT0WahJJwU5QCGEEEKII6fCwjBOnYlyObOXq6gYGDwcvW5lwGOZPTKZ353RnwkZ0RgKPtra9ctLCBFqJPE7Ag3NNrk1LXhd4UTVlDlj+pLTIC0DPBGosVOCHaIQQgghRKdT2aNgx3Z0czMAWmvsea+hd+4IyOv3iQnn+KxYPtxSSZ03MGMNhQgVkvgdgXmbyvlJ5CkAxFQWQ3kJKikFddZs1MXXozwRQY5QCCGEEKLzqQHZ0OKDglxnx8qv0G/PxZ77BFoHZn29OcckU99s8+Diwn2Sv7yKem58ayubS797ApiKBh9NPrsrwxSi25HE7wiU+GeVAoiqLIaKMkhMxZgyDeOUGUGMTAghhBCiCw0cCoDO24K2bex3/g1uN2xZDxtWBySEwUkR3HZcOqt31XHNG1t5dvlucisaWbi9ir8tyqG4zte69MMeuRWN/GFRQWuyd8eHuby8uiQg8QrRXcjkLkegqqkt8Yv2NUCYGzVZxvQJIYQQIsQlpTrLVeVuQefnws481PU/Qb/5IvbC9zAiItFbN2CcNbtLwzhzaAKDEiN4f3MF725yvtrLrWzqsL0wp5qvC2rJrWwiPSaMknofm2RZCNHLSOJ3BKoa2iV+EW6Mi3+MyhwYvICEEEIIIQJAKQUDh6KXLARto2ZehJp6KmxZh16+GLuxATauQY8ai8oc1KWxDE2O4EfH9+WYtEh2VHmZmBFNYaOLpdtLyK3omPitK3YWfc+vasLX4nRJza1sosXWuAxZFkL0DtLV8whUNzS3Po758W9kBk8hhBBC9Boq+xjn+0XXoC68GqUUatQ4aKiHjWsA0AveC1g8ZwxJ4LoJaYxJj+bKSZkMTY6gsMaLt8Xp1tnos9le3ghAfpWXgmovAN4WTVGtN2BxChFskvgdgeqmFqYXLuXX/WsZmCgTuQghhBCi91BnXYhx/7MYMy5qW0R9xBjY83hgNnrpp+iG+qDENzDBg62dJA9gU2kDLRoM5bT45Ve3tQbu3TIoRCiTxO8wtdiaGh8keauZlBET7HCEEEIIIQJKud2opJSO+2LioP8QSErBmH0leL2Qsyko8Q1I9ACQU+G08q3YWYuhYELfaPKrmiio8tI/PhyXghxJ/EQvImP8DlN1WTkAcc11EJcQ5GiEEEIIIboH47ofg88LqX1BKfT61djz30KdeAbGlGkBi6NvTDiJkW7e31xJdnIk722uYNqAOPrFhbO8sI4Gn2ZC32iUUmzzdwEVojeQFr/DVPnWfwCI89ZBXGKQoxFCCCGE6B5Uv/6oAUNRUdHQNwu9cB6sX4l+7mHs9yx0TVVA4nAZihsmpLGtvJGffZBLhNvguolpZMaHA1DT1EJmXDhj0qNYu7ue+mZnLcAmn80TS3exoSQ4XVSF6GrS4neYqioqIQriTzgJ5fEEOxwhhBBCiG5HDR6OLtwByWmQ3g/91r/Qn7yDcePPnYlguthJA2LZUJJAfbPNrBFJJES4Gd0nmqlZMSRHujljSDzFtc28u7GCV9eU4jYU/RM8zN9ayaLcKu47oz/DUiK7PE4hAkkSv8Ogtaa6zukLnnDiKUGORgghhBCimxo8HBZ/jDr+dIwLLkfn52A//SD2849gPPjPtklhuohSipsmp3fYF+txcde0zNbtxEg3iZFu3t5Y0Xo8MdKNt8Vm/tZKWmxNWYOP7OQI3lhXzhVjU4iPkH+dRc8lP72Ho6aSapxw2NSjAAAgAElEQVRuAvKLL4QQQgixf2rsZPTYKahpZzvbWYNQp85Ev/oMVFdCfPCHyxhKcfbQeD7LrcFlOLOAzhqRyI4qL9vKGyms9rK5rIFRaVGs2VVPbmUj953RH49bRkqJnkl+cg9H8S6qwp2ZPGM9riAHI4QQQgjRPam4RFy3/RqVmNy2L3Og86AgNygx7c+lo1N44vxBXDs+DZeC0wbFMyTRw47KJjaXNeKzYc2uekamRrK5tJFHlhTxTWEtq4rqaGi2gx2+EIdFmq0Ogy7ZRXVYNDFucBtd20VBCCGEECKk+BM/vWE1esMq1HmXoCKiOpyid2xDr1uFOms2ytX1H7Lv6XI6qV8Mcy8eRmSYQVGtlxYNaE3f2DBK6nz87MQMluyo4flvivkyvwaAY9Ii+eOZAzpc78WVxYzuE8UEWfJLdEOS+B0CrTX6laepz8thbfJMkqPDgx2SEEIIIUSPoqJjITEF/dFboG2oq8XO3YqaeirG2RdiL/4Y/fLjYNuoQdnOovABFBnmdIQbkhjRuu++M/rT1GKTGh3GrBGJpEa7iQpzsXpXHW+uL2dntZd+cc7/hWX1za37JPET3ZF09TwUW9ajF77Hc2HHUBiVyrUT0oIdkRBCCCFEz5M50En6XC704o+hIAf9xj+x3/43eu6TkH2Mc2zD6qCF2CcmjOgwg6z4cFKjw8iMc2ZxV0pxQv84xvWN5rzhiSjg89zq1ud9u9tZBmJzaQP1zS2U1TcHI3whDkgSv0OgF30AngiWJ49k2u6V8imOEEIIIcQRUJlO10h1/U9gyAjUTb+ArMHoea9CfBLGzb+EQcOCmvgppbhwVBKzRyYd8JzkqDCO6RPFwpwqmnzOWL81u5zEr6KxhXsW5PPrT/IDEq8Qh0q6eh6ErqtFr1hC9SmzqLZjGDxxdLBDEkIIIYTokdSp50ByH9TkkzGmTANATzweKsogNh4V7kGNHIueZ6HralHRwfmw/eJjUw56zpxjkrl3QT6/+mQHhlLsrG6iT0wYu2ub2VTaiAKaWzRuA74uqGVCRjRhro5tLmX1zdyzIJ9fntyPzHhZH1p0LWnxO5jCHdDio2DgWAD6Dx8S5ICEEEIIIXomlZSKccqMDuv4KcOFSk5Dhfu7VI4aD9pGL18crDAPyfi+0VwzPpWciiaafDa1Xps5xyS3TgCogdL6ZnIqmvjjZzv5ZFvVPtdYVVTHjiov3xTVddi/s9rLC98UY2sdiKKIXkJa/A5CFxcBkB+eCDSSFS8TuwghhBBCdJkhI2DICPS7r6KnnobydN+WsAtHJTNrRBIuQ1Hd1EJsuMHnudXkVTVR1djC7tpmiuucsX7rSxqYOazj+oVbyhoByKlo7LB/wfYq3tpQzozsBPrGdvzfc3t5I29uyePCoVEdEmghDkZa/A6muAgMg3yfh0i3QXKk5MpCCCGEEF1FKYUx51qoKkd//mGwwzkol7+FL87jQinF3adk8ofp/QEormtmW7mT1G0ormdTaQM7q72tz92T+G0vb+pwzbxKZ39RjZe9fbK9ihe/zm9NKIU4VAHLYkzTnAE8CriAZy3Luv8A510EvA5MtixreaDiO6CSIkhOo6Cmmaz4cPlkRQghRKc6WP1omuZPge8DPqAEuN6yrLyABypEAKmho2DAUPSXn6JHjgc0pGXA7p1tC8F3U5FhBhmx4bgU7K5tZrs/8Sup9/Grj3eQGR/OX2YMpKy+mdzKRtwG5Fc1sbPaS5zHRazHRV6lkwgW1eyb3OVXOcc2lTbSJ0Z6oolDF5AWP9M0XcDjwExgFHCZaZqj9nNeLHA7sDQQcR0KXVwEaX3Jr2oiSwbdCiGE6ESHWD+uBCZZljUG54PRPwc2SiGCQ009BXZsw77/Dux//Bm9YB72vT9Cr1gS7NAOymUoUqPDKKrxklvZxLFpkQA025qciiZ+/H4ON729HZ8NU7NiadFw27zt3PT2NuZtKqe4zgdAUe2+LX4FVc6+zWUNgSuQCAmB6uo5BdhqWdZ2y7K8wKvABfs57z7gAaBxP8cCRtdUoYvy0VpDcRGVqQOoaGxhYKIkfkIIITrVQetHy7IWWpZV79/8CsgMcIxCBIWadDIoAxoboCgf/dl8AOwXHkWX7EKXFaOb9v8vo73wfXRxYSDD3UdadBjfFNbhbdGcPjiezLhwrhqXSnyEi/wqLyNTI4kKMzjXP+4vMcJNVryHZ5YXt15jV00zlQ0+5m+p5L6F+bz2bSnlDU5SuLm0reyvrCnh05x9J48Ror1AdfXsB7RfzKQAOK79CaZpTgCyLMt6zzTNOw50IdM0bwJuArAsi5SUg0+3+13cbvc+16h+4wWavv6c5EdeoqShjvw+w2E3TBqcTkpK3FG9XrDsr5yhSMoZWqScoaM3lPEIHbR+3MsNwAddGpEQ3YRKSEKZ14EGbT0HxYWoqaehV3yB/fLjsHUDJKehzpqNSk1HjRgDgK4sR//7KThlBurKHwYt/qQoNw27bQwFx6RFccaQBAAGJngoq/dxdnYCLbbGUHD5mBSmZsWiteb293MBGJLkYXNZAz94ZzsNPpswQ7Gi0Jn9Myshku3ljTS3OM9/c305MeEuTh4Q1zrmUIi9dYuZSkzTNICHgWsPdq5lWU8DT/s3dWlp6VG9dnJSEiXvv4mafDLK5QKgZUculJdStnoFAOvtGAwFSUYjpaX7Nrn3BCkpKRzte9UTSDlDi5QzdHRGGTMyMjopmp7JNM0rgUnAKd9xTpd/OBqKpJzd2KU3oLWmdME87NLdJJxv0pTWh/p3XkXFxEFtNfqlxyAiipQX3sXtdhNXWUIl4MrZTHIQy5udXs+nOdXcNT2bYwf1ad0/Yz8x3XpaauvjEwdVsbaohikDU3jlm524FDx9yVgq65v5xbvrAbhoXAZ//XQb8/MamDY4GW+LprzBx6Yag2lDkvcbz8bdtWwrrePcY/rs93h31CN/Zo9AoMoZqMRvJ5DVbjvTv2+PWOBY4FPTNAHSgXdM05zV1RO8NG9cg37uYVRUNIyZ7OysKKUiPIZVaws5DdhiR5EV7ybCLZOgCiGE6FQHqx8BME1zOvAr4BTLspr2Pr5HZ3842hs+lAApZ0+gR0+CFV9QlZwOp54L61ejZsyBoSNh7Qr0sw9R8sk80s67mKpvVwLg27GdkrwcVHRsUGKe3j+CUQkDGZzkOqz3/ZaJKVQ0JrC+2OnhPSUzlj7uJpJjNLEeF43NNheOTmdlbgnPfLmDnGKni2eEWzF3WR4j4+x9JiPUWvO7D3LJq2qisb6WiRkx3Lswn5snpzM0OaLzCt3JevLP7OE42nIe6gejgUr8lgHZpmkOwqnQLgUu33PQsqwqoDXNNU3zU+DngZjV0y533mRdXkLrr0hlOQvTJ/Mv7yBGRiaztVYzuV/3/aUQQgjRY31n/QhgmuZ44B/ADMuyive9hBChT825FnWu6fTOio3H9csH2g5OPhn91r/Qiz9Bz7wQnbcVXC5oaYGtG2Hs5KDEHOE2GJx0+P8/xvpn9mzyOd1EZ41wxgC6DcV5wxPJr2rCbShuPS6d5YW1fLKtigi34sqxqTy7opiFOdWcNCCWRTnVHN8/loXbq6huaiGvqolYj4snvt7NlWNb2FzWyDdFtd068ROdKyBNWJZl+YDbgPnABmeXtc40zd+ZpjkrEDEciF1V4TyoKAdANzZAQx0V4c5YviUDjqe6ySZbfimEEEJ0skOsHx8EYoD/mKa5yjTNd4IUrhBBo8I9qPjE/R8zDNS0s2HTt5TePAe2rIexU8DlRm9eG+BIO092ciRzL85mVFpU675LR6dwx0n9APC4DU4e4Py/OigxgnOHJzIiJZJnl+/mkSVFPLZ0Fze9tY1nVxRjrS0jzuPiV6f0o9FnM3e10/CRX7X/IUy1TS1dXDoRDAEb42dZ1vvA+3vt+80Bzj01EDEB2JVOwkdlWYfvleExAMxLdT4lGt0nap/nCiGEEEfrYPWjZVnTAx6UED2MOvt7qL5Z8J/nob4WNWQkurkZveQT9DlzwHChInve/3JRYa7vPH764Hg+3FLJ4KQIDKX42YkZ/OKjPJbsqGFyv2i2ljdx3ohEUqLCSI50MyIlkgHxHvL8awHmVzWxqqgOj8vp9/bt7nrG9Y3mlx/l8X+nZjIhI4acikZabBiaHIHW+oBrWhdUN/HGujJumpROZJgMj+qOusXkLsG0p8VPV/j71VY4iV9VmNMfvNIVSUqUm35xskCmEEIIIUR3pAwDxh1H4rhJlL30JGrKyajhx2L//qfYd34fXG6M3z2GimtrNdSVZU5CGJcQxMiPzrDkCK4am8qULKfBIi0mjHtPz2LB9iouH5NCuEvtk6idNjiOf64sIT0mjJ3VXv78+U6aWmzchkGjz2ZBThW2hoU51QxPieSeBfko4PqJfZi7uoTfT+9PSV0zw1IicRuK+uYWdtU08+DiQgprvJzYP45J/Zx4tpQ1UOe1Gdc3OtBvjdgPSfxaW/z8XT39iV9FRHzrOeP6Rh/w0w0hhBBCCNE9uFL6YFx9m7ORkIw6cTp6+yYoLsJ+7A9QV4txzW3obRvR77wC/QfjuuvB4AZ9FJRSzDm24yyeAxI8XDch7YDPmTkskTCXwm0onvx6N94WTUKEizBDEedxUVTTjNtQfF1Qi8elqGx0un0++mURPltz10d5lNT7uGpcKjkVjSzOqwHA32jI9orG1sTvhW+K2VLWyD8uGEJSZK9PO4Ku19+BtjF+/hY/f1fPKk8cUb4G6t2RjJdPKYQQQgghehzj2h8BYL/+Anr+fyEsHPuR34KvGVLTYfsmdHERKq0v2m5BGd/dtTIURLgNzhuexKbSBgA8LsVTs4ZgKFi2s5a/fVnENePTeHr5bj7eVsW5wxNZWVhLYU0z4/tGs7KoDkPBJ9sq2VXTzPFZMZw8II7BSRHcuzCf7eWNaK0ByK1owtuisb4t5QdT0g8pviU7qhmSFEFRTTP1u3yckN7r05VO0+vfydbEr7EBvWIJet03NEfHUWuEM7tgIZHTzmRKZkxwgxRCCCGEEEdMXXg1auJJEBaG/eBdqFNmoKbPwr7rRux/PwUlu6C8BOMX96MGDdvn+bqyHPuvv8W48Q5Uv/5BKEHny/QPY5qQEd06Ju+kAXEclxmLUrC2uJ6RqZGcNzyRZX2iWFlUx42T+rB6Vx2byxp5ZY3TaHLl2FQy4z0ADE6MYENJAzf8dxsnD4yjrtkm3uPi422VXDkulZjwfRPrkrpmFudVMyM7ka/ya/jrl0VMGxjHzmovORWNPHH+YPrGdt6QqzW76iit93H64PiDnxxiJPGrqoC4BKiuxH7qfgCqYpxFNPuGtXD2lP4olwxQFUIIIYToqZTLBYOyATAe/pezDTB4OKxbCYOGQUM9tvWck/wphS7dDTXVqEHZ6G+Xw8489KY1oG2IiUMlJAWxREcvOtzF9yem7TOBYZi/z+YvT+7Xuu+4rFiOy3Lmv5iQEUNqdBivrCllcKKnNekDJ/H7YofT9XPeJmcY1cXHJvPsimI+z61mZ7WX/GovFfU+Zg5LYOawRJ78ehcrCut4Y10Zdc3OEhZfF9TS6LMBeH1dGf9val8Alu+sJTs5gviII09hXllTyoaSBvrGhjEytXMm/NlR2UR0uEFyVFinXK+r9OqMRjc1Oss3DBjatnP4aKpOPAeAxEuvQYXJpC5CCCGEEKGiNekDjIuvQ110jZPszb4Ctm5AL/8CAPupB7D//Ev0jm2weZ3zhOIi7EfvwX7o1+imxmCE36nOH5HEwMTDX7IsMy6c6UPiuXiv8YWDk5wkMMxQ+GwwFEwfkkBSpJtnV+xm3qYK6rwteG2bF1eWsHB7FSsK65g+JJ4x6dHMOSaZW6aktyZ9EzPjWbC9inXF9WwsaeC+Twt4a0P5EZfX1prtFY1o4LGvdrV2ST0a3habuz/O47kV3X+Z1d7d4lddCYDKGux8kgO4fv4HqgpqYVEBCUfxaYIQQgghhOje1NBRqKGjnI0Tz0Qvmo9+7Rl0dDTkbQVlYD/9F2hyxsPpLev9EwKWo9/4J+ryHwQv+CBSSrW2wrU3MjWK4zJjmDYwjgcXF5IRG05kmMHxWTG8t7mSc4cnctOkPuyoauL293L465dFZMSGcfPkPoT7e9g1NNs8vWw3cREu/njeSK6bu4I/f76T5Cjn//KNJc69aG7RLMypIr+qiWvGp1HZ6CMp0o2xnwkZ8yqbyIoPp7DaS6NPMzwlkk2lDeys9tIvLpztFU3srPZSWtdMaX0zNU028ZEurp+Qtt/rtbdkRw01Xpvcyqb9Ht9W3khSpJvEbjC5TfAjCKY9id+gbPS4qRhnzwagstEHQKIkfkIIIYQQvYJyuTCuvg37Dz/D/tt9EO7BuPHn2E/8EbQGw4Ad25yT0zLQXy1CX3JjhxbE3i4yzODuUzLRWmMleBiW7LQmnjMskVqvzRVjUgDoH+/h8jEplNb7uHJsamvSt+cac45NJt7jIsbj5q5pmfzpswK2lTcR73GxtbwRn615eVUxb2905uoYnBjBY0uLODvbSSzbe3N9GS+uLOGGiWnEeZx7NXtkIg983sAXO2r4YkcNee2StqgwA49LUdHYwllDE0jwuIjxuA6YAH601cknimq8NLfo1q6yAE0+pzXwhP6x3H58xtG+vUetd2c2Nc6NIiEJ1613t+7ek/glRMovshBCCCFEb6EGDMG4/bfY71uo4WNQ445DnXsJ+r3XYPxUWLHEOe+s2eh/PQE5m9BZg9FffYoadxz60w9Qx05ADRnxna+jm5qgqhyVtm+rWShQSnH/Wf0JM5wkKDPew09P7Jj4XHxsygGff+notmP9Ezw8dt5gNpU2UFrv46EvCtle3sinudWM7xvNt7vreHFlMT4b3ttUQWWDj8IaL7VNLSRFudlU2ohLOccmZ8YQZiimZMaSGOnGWltKiw0/nJLOyDRn7e6oMBfbyxv5yQe5rCqq4+VVJRyTFsV5wxMZkRpJTLiLohovb64vY0LfGNYVNzAkKYJt5Y0U1Xjpn9A25nFlUR2NPs3m0u7RLbhXJ366usp5sNfCnRWNLUSFGR0+fRBCCCGEEKFPHTMe1zHj27ZnXYY6aTp607foFUsgMQU16ST03KfQa5ah570G61aiX/kHtLSgt23A9dP7vvM19LxX0Ys+wHhkbsi2GEaFdV65XIZiVFoUxbXNgDPhS1VjC2cPTaC5xWZtcQMZseEMSvSwpayR1Gg36THhlNY3c+XYFJKjwnj0yyL+t62KgYke3Ibi2LRIPs+rYUpmDGdnd8wFsuLDMRR8sLkSb4tmVVEdK4vqyIoP5+GZA3noi0K2lDXy0dYqkiLd3DgpjTs/2kFORWOHSV6+yncmutlZ7aW+uaVT35Mj0asTPzXpJBLHTaIyuuPNrm1qIdYTmr+EQgghhBDi0CmlIDkN+vRDA2QOREXHwKBs9AdvOOecY6K3bwSfDzavRdfXoqL2XQ7MfvHvkNYXvWE1NNQ7y0ik90PnbIaMASiPZ5/niDap0W7SosNYWlBLpNtgYr9odlZ7WVvcwAn9Y7lqXOp+n9fconl/cwVNPptzhyUCMCY9ms/zajh/eOI+54e5DDJiwymo9hLuUvz93EGsLKrjqWW7+dkHueyo8jJ9SDwLt1dx1bhUBidGoIDHlu7C1vC707MYlhLBsp21JEe6KWvwkVPexKi0SBp9unX5jEDr3YlfVDRhKQNQpaUd9jsZubT2CSGEEEIIvz5OV0WVOdD5fuo5aMOFcc4c1OhJAOhtG7Hv/wX62xWo407p8HTd7EV/uRAiIqG+ztm5qwAdFY39p1+gLrwKNfMi59y1K7D/8wLG3X9BeQ5/1s1QpZTintOz+N+2SjLjPYS7DE7oH8vH2yo5dVDcAZ8X5lL8ZcbADvtOHxxPVlw4I9P2v6TDgAQPBdVehiZFkB4bzoyYML4uqOXb3fVcPS6V741K4vsT+7QmcX1iwthV20y4S/GHzwqYme2Ma7zxhD48sqSIr3fWYq11lpL4y4yBZMWH86fPdjI1KxYz5cDdXjtTr078DqTOaxMtiZ8QQgghhPBTMXEYt9wJ/llAjeNPg+NP63jSoGEQG4/+4hP05JNRhoH2NqHf+w9qwGBo8UFdTevpuqgAFe4BbaNzNrXt/+ZLKNzhzCw67NgOL6GbGmnO3QoxHXus9Rb94sK5enxa63ZGXDj/uGDIYV/HbagDJn3gJH5f7KhhRGok4CSdd07rR5PPJs4/AWRkWNtELkOSIrA1/N9pmdw5P4/X15WRnRzBKQPjeGllCW9tKCfcpQhzKf72VRE3T+7D0oJaxvWNPuzYj1SvTvzW7a5n0YpNXD06gZjwtq6d9c02aTHdewFGIYQQQggRWGrCCd993DBQ55roV5/BfvwPqNR0aG5Gf/YhOsbfIhUWDnYLREZBUT56zxi/vK2t19E5m/3ft8CA7A5dQPWHb1L+4RsYj/wLFRHZuQUUrQb6J2nZk/gBeNwGHvf+G4dum5qOz4Y4j4vbpqbz8BdFXDY6BaUU5w1PJK+yiUvHpLCtvJEHFxfyp0U7CTMU0wYcuKWys/XqxK+kvpn5G0uYnR27V+LXQlSY9LEWQgghhBCHR51+HuwuRC/9FL1updPK53ZDbTUkpaImngDlpei6GvSuAmcMITj7aqog3AM7dwCgly9GvzMXdeWtTgsjoLdtAF8zbN+EvXQR6oLLUUn7H9smjtykfjH8+Pi+TMrYd6zm/rSfuOWE/nFMzIhpTRK/d0zbQvfpMWEszorly/waThoQS0wA5xXp1YlftP8G1TW3dNhf1yxdPYUQQgghxOFTSqEuvxkuvxldkIteuggyB6KffQg1aBiGeQMA9tynnOSwxQeR0dBQ57T6+bt+EhMLuVsA0PPfRE891XkBf8ug/dF/Yd1KyOiPOvtC7P88D02NGFf+MBjFDjkuQ3Ha4Pgjfv6BWgaVUvxgch/qvC3MHpl0xNc/Er06u4kOd4pf57Vb92mtaWi2gz7dqhBCCCGE6NlU5kCMi65BTToJRo1HTZnWdrBvpjOzZ34OatKJAM7yEKuXOc89+SznvPgk2JkHm9dCSVHbxDDrVjrP2bYBXbIL/ck76BVfoLUOWPnEkUmIdHPf9P5kJwe2q24vT/z8LX7etha/Bp+NrSEqvFe/NUIIIYQQopMolwvXT+5FTTi+bd/kaZDeD7SGoSNh7BT0wvfRH/0Xho9GTT0NElMwbvsVxCVgv/QY+ttvnOfGtmuJ2r4J/dFbYNtQWwM1lYEunughendXzz0tfs1tLX71/sfR0uInhBBCCCG6iIqNw7jjj+j5/0WNmewkequ/diZ+GTfVSRb//DwAxg/vxn7o1+hXn4awcCKOP5WGj96GhGSoLEN/9iH0zYKifGd8YFzHtenslx6DcA/GpTeifT5Y9w3a64XyEtSE451JaAC9cwd60Qeo2VeiogI326QIjF6d+O2Z0KW2XYtfvb/bp6zjJ4QQQgghupKKS0RdfH3bjvFT93/ekBFOkrjwPUhMxT1wMHz0NurMWej/vACeSIybfo597+3ownzUyLFOl8/VSyEtA734E/B40HOuRc99Cr3447aL529Hff9n6Mpy7L/dA+Wl0NgAF14F8YkoQ/4nDhW9OvHzuBQuQ3UY47dnopdo6eophBBCCCG6CTVoGGrQMAAiY6Kpra5GnXgGesUS1Ckzod9AiI5Fr16KXbQDDJeTKEZEOpPFNDagX3oc/eUC1NkXoqaeiv7gTfSa5WhfM3r+m1BdiZpyCvrLBc55sy6H8y5Bv2eh87Zi3HInymjrFacLcsHlRvXNPKyy6IZ6CAtDuWX5tEDq1YmfUopYj6vDGL+2Fj/p6imEEEIIIbofFRGJccoMAFx3Pdh2ICMLNqxGb1jtbGcNgvwcyBwERTvQXy6AISNQ37vGacmbMg399SLY+C16/SoYNhp13e0wahz6q4VOMlhVjl70IQD6689R/tlFtdbYf78PGusxfvUwKq3vPnHqsmJo9qLS2xJDbdvYv7sdNXYK6tIbu+YNEvvV65u1YsLde7X4+RM/afETQgghhBA9iOo3EADjljsxfng3xt1/QV1+M8a1P4IhI5xjc65r6745aix4IrE/eRsKd6BGjUW53RgnnoFx1Q/B14xe9CHqtHMgcxD6jRexrefQ9XXOUhPlJVBfh/3EH9F1tR1i0b5m7Id/g/2333WcaTRvK5TuRi+XGUgDrVe3+AHEeNwd1vGr39PVU8b4CSGEEEKIHkSdczFq/HGoUePb9p12LgDG+ZehC3JQQ0e2HQsLR500Hf2/d53tEWPbjqVlYNz6a4iMRA0dhd6wGvtfT6I/eQf2dPd0uTBu/Dn2Mw9h3/P/ICYWw7wBvbsQtm+E4kLnvOIi6JMBOEtWAFBVDju2w4AhTgK48iv02hWos78HqemQu4Xm2kqISeiqt6vXkcTP46amoal1W7p6CiGEEEKInkglJkNi8v6PjRiDGjFm3/2zLkcvXww+n9M1tP2x0RPbHo8ci+sPT2E/9wh64TzwRMLwMaiJJ2K4w7AXvAfFhdgP/1/bBQYNg5zN6HXfgM+HXroQvfwLyOgPRfnob5ehBgyBb5ZgP/UAALp0N3ibYNtGKiIiUb/9GyqlT+sl9Zb16LwtTpKalAIb18D442HlVzBiNCoq5mjewn3oshJITA6JSW56feIX63Gxq6p9i5+NoSDCrYIYlRBCCCGEEF1PRUU7LXt1NYeU3KhZl6FXfgXxSRizr3T2jZ2Ca+wUdHUl+t1XnfUK+w2AqBjs3/zQmRzm1WecNQsBdckN6K8/R69ZDuddiv3ZR5CUijp1JvrNl5xzvnc1fPA69ot/x/jJvSjDhS7Kx37o19DiQ0dGw8ChsGG187xPP3AmrZlzHQB69TLshfMwbrwDFX3gZFBrjZ73GmrSiai+WR2PlZdg/5Py2doAABAtSURBVOpm1BU/QJ181hG9v91JwBI/0zRnAI8CLuBZy7Lu3+v4D4BbgRagFrjJsqz1XR1XbIS74+QuzS1EhRkoJYmfEEIIIYQIfWpQ9qGfm5qO8ci/wO3e5/9lFZeAuuIHHfeNnoReMA81bQZq9hVQXwcpfaCxEf32XHTuFtiwCnXuJagzzkev/Ao1dgrGzDlE9+1H9eN/Qr/5Mpx/mbMeoSfCWdfw0Xtgw2pwudGffgCA/moR+qQzoWQ39j8fhdpq7Jcew/jBLw/8v/3GNeh3/o3esArjjj91OE9vWuskmau/hgMkfrqyHD3vVRg6CsM/8U13FZDEzzRNF/A4cCZQACwzTfOdvRK7f1uW9ZT//FnAw8CMro7NGePXcXIX6eYphBBCCCHE/qmwQ1+GQV14JeqkM1F7upHGxjvfx0xCvz0X+5m/OOedcDoq3IPr7r+0Pjdy+vnUrF2Jnv8metEH0NSIuv7HqOHHoq68Bb1mGWrMZPQLj8K442DVUuzf3OYsX+FyoU4+C/35R7BqKYyf6nQT/Ww+urHe6WKa0ge94kvnxbasRy/6EF1RClXlqKtvgy3rnGMbv0X7mvdZfkI3NWH//idQVQHLFqOzBjlLYoxsGyupN66BhnoYORYVEensq69DRUUfzlveKQLV4jcF2GpZ1nYA0zRfBS4AWhM/y7Kq250fDQRkmp+YcDfeFo23xSbcZVDfbMsafkIIIYQQQnQCFRG1z9hBALIGQ0ISFBc5rYGp6ft//mU3Q/8h6G+XY0yb0Tru0DjhDDjhDLTWqH4DIGMA9t03QkIyxsyLIDIahh2L3rQW++25GKl9sB/5DXg8EBWLXrW07TVOOwe9aS167pNtLzxgKHrzOoiMchK3bRth+Gj0qqXYC9/DuOGnTlJXVYG64Aonib33dlBgPPwvVHQM9v/edbq4AgwejvHLB9D/fRn90X8xfv5HVPaoTnufD0WgEr9+QH677QLguL1PMk3zVuCnQDhweiACi/U4b0G918bn1uRVNtEnRhaTFEIIIYQQoqsopVATT0Qv+xz1vasOfJ7LhZp2Nkw7+4DXYcBQAIx7H4eIiA6LzKtZl6GffQj79z+D6BiM3z6KiktEN3thyzr0kgWoGXNQF1/vtPBFx2K/+RL69RfA60Wddwn6gzewX/w7asb30O++BpVl2I/9HsI9kJiCOudidM5m2LIeGupgwyp0arqT9I2bisoehf7P807iuXENKIX9ydsY6f3A5QJSOvW9PZBuNbmLZVmPA4+bpnk58Gvgmr3PMU3zJuAm//mkpBzdGxVfUQaAOzqOJ77IpbSumbvPHE5KSmhNHet2u4/6veoJpJyhRcoZOnpDGYUQQhweNeda1KzLO63b4/6uoyafDE2NsH0T6sTpqLhEZ39YOIwa32HpC/yPjetux37laVi3EjX5ZNSAodjzXkO//ITz3BkXoT9+G1p8qBkXoQwD45Y7ocXGvuNa9LqVTpfR6FiM638M4R70Z/Nh4xrUGeeDOwz90VvY61ahTp0BP7ijU8p/MIFK/HYC7afJyfTvO5BXgSf3d8CyrKeBp/2burS09KgCi3Q73Tr/8skmVhbVceOkNAZG+Tja63Y3KSkpIVem/ZFyhhYpZ+jojDJmZGR0UjRCCCG6A+UOA3fX9rRThvGdLYb7fU5CMq5b7mrbkdEfY8xkZw3DxgaMWZehTzgD/en7qDPOc57jDnMyq5Fj0UsXQbMXNec6VGQUAMZNP0fnbUOddCaUl6K/+BiGHYs68czOLO53ClTitwzINk1zEE7CdylwefsTTNPMtixri3/zXGALAZAe6wFgZVEdZw2N59xhiYF4WSGEEEIIIUQPoQwDddbstu2+majLbtr3vPFT0d8sQZ12TmtSCKD6D0H1H+JsJKfiemRul8e8t4AkfpZl+UzTvA2Yj7Ocw/OWZa0zTfN3wHLLst4BbjNNczrQDFSwn26eXWFwSjRPnj+YZlvTPz5clnEQQgghhBBCHBF13CmoUWNbu5R2JwEb42dZ1vvA+3vt+027x7cHKpa9ZcSFB+ulhRBCCCGEECFCKQXdMOmDbja5ixBCCNHbmKY5A3gUp0fMs5Zl3b/XcQ/wEjARKAMusSwrN9BxCiGE6NlkwTohhBAiSEzTdAGPAzOBUcBlpmnuvbDTDUCFZVlDgUeABwIbpRBCiFAgiZ8QQggRPFOArZZlbbcsy4szq/UFe51zAfCi//HrwBmmacqAdCGEEIdFEj8hhBAiePoB+e22C/z79nuOZVk+oApIDkh0QgghQoaM8RNCCCFChGmaNwE3AViWRUpKylFdz+12H/U1egIpZ+joDWUEKWeoCVQ5JfETQgghgmcnkNVuO9O/b3/nFJim6QbicSZ52YdlWU8DT/s3dWlp6VEFl5KSwtFeoyeQcoaO3lBGkHKGmqMtZ0ZGxiGdJ4mfEEIIETzLgGzTNAfhJHiXApfvdc47OGvbfgnMARZYlqUDGqUQQogeT8b4CSGEEEHiH7N3GzAf2ODsstaZpvk70zRn+U97Dkg2TXMr8FPgzuBEK4QQoieTFj8hhBAiiCzLeh94f699v2n3uBG4ONBxCSGECC3S4ieEEEIIIYQQIU5p3aOHCfTo4IUQQhw2Wb/u0EkdKYQQvcdB68ee3uKnjvbLNM0VnXGd7v4l5QytLylnaH31hnJ2YhnFoetO961bf0k5Q+erN5RRyhl6X51UzoPq6YmfEEIIIYQQQoiDkMRPCCGEEEIIIUKcJH5tC92GOilnaJFyhpbeUM7eUMZQ1Fvum5QzdPSGMoKUM9QEpJw9fXIXIYQQQgghhBAHIS1+QgghhBBCCBHievUC7qZpzgAeBVzAs5Zl3R/kkDqNaZq5QA3QAvgsy5pkmmYS8BowEMgFTMuyKoIV45EwTfN54Dyg2LKsY/379lsu0zQVzv09B6gHrrUs65tgxH24DlDOe4AbgRL/aXf7F37GNM27gBtw7vePLMuaH/CgD5NpmlnAS0AfnGnnn7Ys69FQu5/fUc57CK37GQF8Bnhw6pbXLcv6rWmag4BXgWRgBXCVZVle0zQ9OO/LRKAMuMSyrNygBC/2IfWj1I/dVW+oH6F31JFSPwa+fuy1LX6mabqAx4GZwCjgMtM0RwU3qk53mmVZ4yzLmuTfvhP4n2VZ2cD//Ns9zT+BGXvtO1C5ZgLZ/q+bgCcDFGNn+Cf7lhPgEf89Hdfuj+Ao4FLgGP9znvD/fHd3PuBnlmWNAqYCt/rLEmr380DlhNC6n03A6ZZljQXGATNM05wKPIBTzqFABU6Fjf97hX//I/7zRDcg9aPUj93cPwn9+hF6Rx0p9WOA68dem/gBU4CtlmVttyzLi5NxXxDkmLraBcCL/scvArODGMsRsSzrM6B8r90HKtcFwEuWZWnLsr4CEkzT7BuYSI/OAcp5IBcAr1qW1WRZVg6wFefnu1uzLKtoz6eRlmXVABuAfoTY/fyOch5IT72f2rKsWv9mmP9LA6cDr/v3730/99zn14Ez/J9Yi+CT+lHqx26rN9SP0DvqSKkfA18/9ubErx+Q3267gO/+YetpNPCRaZorTNO8yb+vj2VZRf7Hu3Ca1kPBgcoVivf4NtM015im+bxpmon+fT2+nKZpDgTGA0sJ4fu5VzkhxO6naZou0zRXAcXAx8A2oNKyLJ//lPZlaS2n/3gVTncXEXw99mfwEEn9GJr3OKT+nrbXG+pIqR8DUz/25sQv1J1kWdYEnKb/W03TnNb+oGVZGqfyCymhWi6/J4EhON0EioCHghtO5zBNMwZ4A/ixZVnV7Y+F0v3cTzlD7n5altViWdY4IBPnU9gRQQ5JiP2R+jH0hNzf0z16Qx0p9WPg9ObEbyeQ1W47078vJFiWtdP/vRj4L84P2e49zf7+78XBi7BTHahcIXWPLcva7f/DYQPP0Na9oceW0zTNMJw/9nMty3rTvzvk7uf+yhmK93MPy7IqgYXA8TjdjfZMJNa+LK3l9B+PxxnELoKvx/8MfhepH4EQu8eh+ve0N9SRUj8Gtn7szYnfMiDbNM1BpmmG4wwWfSfIMXUK0zSjTdOM3fMYOAtYi1O+a/ynXQO8HZwIO92ByvUOcLVpmso/iLaqXfeIHmevvvoX4txTcMp5qWmaHv8MUdnA14GO73D5+6s/B2ywLOvhdodC6n4eqJwheD9TTdNM8D+OBM7EGa+xEJjjP23v+7nnPs8BFvg/vRbBJ/Wj1I89Sqj9PYXeUUdK/Rj4+rHXLudgWZbPNM3bgPk401U/b1nWuiCH1Vn6AP81TROce/xvy7I+NE1zGWCZpnkDkAeYQYzxiJim+QpwKpBimmYB8FvgfvZfrvdxpjXeijO18XUBD/gIHaCcp5qmOQ6nW0cucDOAZVnrTNO0gPU4M2TdallWSzDiPkwnAlcB3/r7vQPcTejdzwOV87IQu599gRf9M6wZgGVZ1jzTNNcDr5qm+XtgJU4lj//7y6ZpbsWZqOHSYAQt9iX1o9SP3VkvqR+hd9SRUj8GuH5UWssHrEIIIYQQQggRynpzV08hhBBCCCGE6BUk8RNCCCGEEEKIECeJnxBCCCGEEEKEOEn8hBBCCCGEECLESeInhBBCCCGEECFOEj8hQphpmto0zaHBjkMIIYTobqSOFL1Nr13HT4hgME0zF2cdqfbrzvzTsqzbghOREEII0T1IHSlE15LET4jAO9+yrE+CHYQQQgjRDUkdKUQXkcRPiG7ANM1rgRuBlcBVQBFwq2VZ//MfzwCeAk4CyoEHLMt6xn/MBfwSuAFIAzYDsy3Lyvdffrppmh8AqcBc4DbLsnSAiiaEEEIcFakjhegcMsZPiO7jOGAbkAL8FnjTNM0k/7FXgQIgA5gD/NE0zdP9x34KXAacA8QB1wP17a57HjAZGAOYwNldWwwhhBCi00kdKcRRkhY/IQLvLdM0fe227wCagWLgr/5PGl8zTfNnwLmmaX4KnAica1lWI7DKNM1ngauBBcD3gV9YlrXJf73Ve73e/ZZlVQKVpmkuBMYBH3ZR2YQQQoijIXWkEF1EEj8hAm/23uMX/N1Ydu7VvSQP59PLDKDcsqyavY5N8j/OwvkU9EB2tXtcD8QcYdxCCCFEV5M6UoguIl09heg++pmmqdpt9wcK/V9JpmnG7nVsp/9xPjAkMCEKIYQQQSF1pBBHSVr8hOg+0oAfmab5BDAbGAm8b1lWmWmaS4A/mab5c2AYziD1K/zPexa4zzTN9cBWYDTOJ6NlAS+BEEII0TWkjhTiKEniJ0TgvWuaZvs1ij4G3gaWAtlAKbAbmNOuYroMZ8ayQqAC+G27rjAPAx7gI5xB7xuBC7u6EEIIIUQXkDpSiC6itJYZa4UINv/4he9blnVSsGMRQgghuhOpI4XoHDLGTwghhBBCCCFCnCR+QgghhBBCCBHipKunEEIIIYQQQoQ4afETQgghhBBCiBAniZ8QQgghhBBChDhJ/IQQQgghhBAixEniJ4QQQgghhBAhThI/IYQQQgghhAhxkvgJIYQQQgghRIj7/1rwQmVmhsmCAAAAAElFTkSuQmCC\n", - "text/plain": [ - "<Figure size 1080x360 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "epochs = 300\n", - "batch_size = 32\n", - "validation_split = 0.25\n", - "lr = 0.0001\n", - "\n", - "# Configures the model for training\n", - "model_conv_ADAM = convolutional_network(input_size, num_classes, optimizer=\"Adam\", lr=lr)\n", - "\n", - "# Trains the model for a given number of epochs (iterations on a dataset)\n", - "history_conv_ADAM = model_conv_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", - " epochs=epochs, batch_size=batch_size, verbose=0)\n", - "\n", - "# Returns the loss value & metrics values for the model in train and test mode.\n", - "eval_conv_ADAM = model_conv_ADAM.evaluate(X_train,Y_train)\n", - "print(\"Train loss: \", eval_conv_ADAM[0], \"\\t Train accuracy: \", eval_conv_ADAM[1])\n", - "eval_conv_ADAM = model_conv_ADAM.evaluate(X_test,Y_test)\n", - "print(\"Test loss: \", eval_conv_ADAM[0], \"\\t Test accuracy: \", eval_conv_ADAM[1])\n", - "\n", - "# Generate loss & accuracy plots for training & validation\n", - "visualization(history_conv_ADAM)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Conclusion**:\n", - "\n", - "We build and train a more sophisticated convolutional (not-to-)deep network in Keras using Adam optimizer when the shapes are allowed to move within the images and change dimensions. We obtain the following results:\n", - "\n", - "|Loss|Train|Test|\n", - "|:-:|:-:|:-:|\n", - "|Adam optimizer (convolutional_network)|0.324|1.191|\n", - "|Adam optimizer (more sophisticated convolutional_network)|0.154|0.232|\n", - "\n", - "|Accuracy|Train|Test|\n", - "|:-:|:-:|:-:|\n", - "|Adam optimizer (convolutional_network)|0.91|0.65|\n", - "|Adam optimizer (more sophisticated convolutional_network)|0.969|0.933|\n", - "\n", - "Performances of this more sophisticated model are very impressive." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "## 5. A Regression Problem" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The task now is to predict the image locations of the vertices of a triangle, given an image of this\n", - "triangle." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Creating data: 100%|██████████| 300/300 [00:07<00:00, 42.34it/s]\n", - "Creating data: 100%|██████████| 300/300 [00:06<00:00, 49.78it/s]\n" - ] - } - ], - "source": [ - "# Generate training and test sets (2x 300 samples with noise)\n", - "[X_train, Y_train] = generate_dataset_regression(300, 20)\n", - "[X_test, Y_test] = generate_test_set_regression()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We visualize a training sample (or a prediction) by calling the *visualize_prediction* function." - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - 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\n", - "text/plain": [ - "<Figure size 1080x360 with 10 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plot one prediction\n", - "f, axarr = plt.subplots(2, 5)\n", - "for i in range(5) :\n", - " axarr[0, i].grid(linestyle=' ')\n", - " visualize_prediction(X_test[i], Y_test[i], axarr[0, i])\n", - " \n", - "for i in range(5) :\n", - " axarr[1, i].grid(linestyle=' ')\n", - " visualize_prediction(X_test[i+5], Y_test[i+5], axarr[1, i])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "#### Q4: Build and train a regressor on this data. Evaluate your solution on the test set " - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "# Define the input and output size\n", - "input_size = IMAGE_SIZE\n", - "output_size = Y_train[0].size" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "# Generate training and test sets (2x 300 samples with noise and with move)\n", - "X_train = X_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", - "X_train = X_train.astype('float32')\n", - "\n", - "X_test = X_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", - "X_test = X_test.astype('float32')" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "# Normalize training and test sets targets\n", - "def normalize_target(y) :\n", - " y_norm = y.copy()\n", - " for i in range(len(y)) :\n", - " y_ex = y_norm[i]\n", - " y_ex = y_ex.reshape(3, 2)\n", - " norm_y_ex = np.linalg.norm(y_ex, axis=1)\n", - " p1 = np.argmin(norm_y_ex)\n", - " angle = [0,0,0]\n", - " for p in range(3) :\n", - " dot = np.inner(y_ex[p],y_ex[p1]) \n", - " det = np.inner(y_ex[p],y_ex[p1][::-1]*np.array([-1,1]))\n", - " angle[p] = np.arctan2(det, dot)\n", - " angle[p1]=np.inf\n", - " p2 = np.argmin(angle)\n", - " angle[p1]=-np.inf\n", - " p3 = np.argmax(angle)\n", - " y_norm[i] = np.array([y_ex[p1],y_ex[p2],y_ex[p3]]).reshape(-1)\n", - " return y_norm\n", - "\n", - "Y_train = normalize_target(Y_train)\n", - "Y_test = normalize_target(Y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We define *convolutional_regressor* function in order to predict the image locations of the vertices of a triangle." - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "#==================================================================================================#\n", - "# convolutional_regressor(input_size, output_size, optimizer, lr)\n", - "#\n", - "# WHAT: Configures the model for training\n", - "#\n", - "# INPUT:\n", - "# - input_size\n", - "# - output_size\n", - "# - optimizer\n", - "# - lr\n", - "#==================================================================================================#\n", - "def convolutional_regressor(input_size, output_size, optimizer, lr) :\n", - " \n", - " # Definition of the model\n", - " model = Sequential([\n", - " Conv2D(8, (3, 3), activation='relu', input_shape=(input_size, input_size, 1)),\n", - " MaxPooling2D(pool_size=(2, 2)),\n", - " Dropout(0.25),\n", - " Conv2D(16, (3, 3), activation='relu'),\n", - " MaxPooling2D(pool_size=(2, 2)),\n", - " Dropout(0.25),\n", - " Conv2D(32, (3, 3), activation='relu'),\n", - " MaxPooling2D(pool_size=(2, 2)),\n", - " Dropout(0.25),\n", - " Conv2D(64, (3, 3), activation='relu'),\n", - " MaxPooling2D(pool_size=(2, 2)),\n", - " Dropout(0.25),\n", - " Flatten(),\n", - " Dense(128, activation='relu'),\n", - " Dropout(0.25),\n", - " Dense(output_size)]\n", - " )\n", - "\n", - " # Definition of the optimizer\n", - " if optimizer == \"SDG\" :\n", - " opt = SGD(lr=lr)\n", - " elif optimizer == \"Adam\" :\n", - " opt = Adam(lr=lr)\n", - "\n", - " # Compilation of the model\n", - " model.compile(loss='mean_squared_error',\n", - " metrics=['accuracy'],\n", - " optimizer=opt)\n", - " \n", - " return model" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "300/300 [==============================] - 0s 1ms/step\n", - "Train loss: 0.00687571570277214 \t Train accuracy: 0.7999999992052714\n", - "300/300 [==============================] - 0s 884us/step\n", - "Test loss: 0.0159085854763786 \t Test accuracy: 0.6799999992052714\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "epochs = 1000\n", - "batch_size = 32\n", - "validation_split=0.25\n", - "lr = 0.001\n", - "\n", - "# Configures the model for training\n", - "model_reg_ADAM = convolutional_regressor(input_size, output_size, optimizer=\"Adam\", lr=lr)\n", - "\n", - "# Trains the model for a given number of epochs (iterations on a dataset)\n", - "history_reg_ADAM = model_reg_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", - " epochs=epochs, batch_size=batch_size, verbose=0)\n", - "\n", - "# Returns the loss value & metrics values for the model in train and test mode.\n", - "eval_reg_ADAM = model_reg_ADAM.evaluate(X_train,Y_train)\n", - "print(\"Train loss: \", eval_reg_ADAM[0], \"\\t Train accuracy: \", eval_reg_ADAM[1])\n", - "eval_reg_ADAM = model_reg_ADAM.evaluate(X_test,Y_test)\n", - "print(\"Test loss: \", eval_reg_ADAM[0], \"\\t Test accuracy: \", eval_reg_ADAM[1])\n", - "\n", - "# Generate loss & accuracy plots for training & validation\n", - "visualization(history_reg_ADAM)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We visualize a training sample (or a prediction) by calling the *visualize_prediction* function." - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 10 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plot five predictions\n", - "Y_test_pred = model_reg_ADAM.predict(X_test)\n", - "\n", - "# Plot 5 elements of the training set\n", - "width = np.sqrt(X_train[0].size).astype(int)\n", - "height = width\n", - "\n", - "# Plot 5 elements of the training set\n", - "f, axarr = plt.subplots(2, 5)\n", - "for i in range(5) :\n", - " axarr[0, i].grid(linestyle=' ')\n", - " visualize_prediction(X_test[i], Y_test[i], axarr[0, i])\n", - " \n", - "for i in range(5) :\n", - " axarr[1, i].grid(linestyle=' ')\n", - " visualize_prediction(X_test[i], Y_test_pred[i], axarr[1, i])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Conclusion**:\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---\n", - "## 6. Image Denoising" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We modify the *generate_a_\\** functions to generate pairs of images, where one image has noise with random amplitude, and the second image has the same content but without the noise." - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [], - "source": [ - "def generate_a_rectangle_pairs(noise=0.0, free_location=False):\n", - " figsize = 1.0\n", - " U = np.zeros(4)\n", - " V = np.zeros(4)\n", - " if free_location:\n", - " corners = np.random.random(4)\n", - " top = max(corners[0], corners[1])\n", - " bottom = min(corners[0], corners[1])\n", - " left = min(corners[2], corners[3])\n", - " right = max(corners[2], corners[3])\n", - " else:\n", - " side = (0.3 + 0.7 * np.random.random()) * figsize\n", - " top = figsize/2 + side/2\n", - " bottom = figsize/2 - side/2\n", - " left = bottom\n", - " right = top\n", - " U[0] = U[1] = top\n", - " U[2] = U[3] = bottom\n", - " V[0] = V[3] = left\n", - " V[1] = V[2] = right\n", - " return generate_a_drawing(figsize, U, V, noise), generate_a_drawing(figsize, U, V, 0.0)\n", - "\n", - "\n", - "def generate_a_disk_pairs(noise=0.0, free_location=False):\n", - " figsize = 1.0\n", - " if free_location:\n", - " center = np.random.random(2)\n", - " else:\n", - " center = (figsize/2, figsize/2)\n", - " radius = (0.3 + 0.7 * np.random.random()) * figsize/2\n", - " N = 50\n", - " U = np.zeros(N)\n", - " V = np.zeros(N)\n", - " i = 0\n", - " for t in np.linspace(0, 2*np.pi, N):\n", - " U[i] = center[0] + np.cos(t) * radius\n", - " V[i] = center[1] + np.sin(t) * radius\n", - " i = i + 1\n", - " return generate_a_drawing(figsize, U, V, noise), generate_a_drawing(figsize, U, V, 0.0)\n", - "\n", - "def generate_a_triangle_pairs(noise=0.0, free_location=False):\n", - " figsize = 1.0\n", - " if free_location:\n", - " U = np.random.random(3)\n", - " V = np.random.random(3)\n", - " else:\n", - " size = (0.3 + 0.7 * np.random.random())*figsize/2\n", - " middle = figsize/2\n", - " U = (middle, middle+size, middle-size)\n", - " V = (middle+size, middle-size, middle-size)\n", - " imdata = generate_a_drawing(figsize, U, V, 0.0)\n", - " imdata_2 = generate_a_drawing(figsize, U, V, noise)\n", - " return [imdata_2, [U[0], V[0], U[1], V[1], U[2], V[2]]], [imdata, [U[0], V[0], U[1], V[1], U[2], V[2]]]\n", - "\n", - "def generate_dataset_denosing(nb_samples, noise=0.0, free_location=False):\n", - " # Getting im_size:\n", - " im_size = generate_a_rectangle().shape[0]\n", - " X = np.zeros([nb_samples,im_size])\n", - " Y = np.zeros([nb_samples,im_size])\n", - " for i in tqdm(range(nb_samples), desc='Creating data'):\n", - " category = np.random.randint(3)\n", - " if category == 0:\n", - " X[i], Y[i] = generate_a_rectangle_pairs(noise, free_location)\n", - " elif category == 1:\n", - " X[i], Y[i] = generate_a_disk_pairs(noise, free_location)\n", - " else:\n", - " [X[i], V1], [Y[i], V2] = generate_a_triangle_pairs(noise, free_location)\n", - " X = (X + noise) / (255 + 2 * noise)\n", - " Y = (Y + noise) / (255 + 2 * noise)\n", - " return [X, Y]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The shapes are allowed to move within the images and change dimensions. We generate the new training sets, one image has noise with random amplitude, and the second image has the same content but without the noise.." - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "# Define the input and output size\n", - "input_size = IMAGE_SIZE\n", - "output_size = IMAGE_SIZE" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Creating data: 100%|██████████| 300/300 [00:10<00:00, 27.75it/s]\n", - "Creating data: 100%|██████████| 300/300 [00:11<00:00, 25.39it/s]\n" - ] - } - ], - "source": [ - "# Generate training and test sets (2x 300 samples with noise)\n", - "[X_train, Y_train] = generate_dataset_denosing(300, 20)\n", - "[X_test, Y_test] = generate_dataset_denosing(300, 20)" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], - "source": [ - "# Generate training and test sets (2x 300 samples with noise and with move)\n", - "X_train = X_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", - "X_train = X_train.astype('float32')\n", - "\n", - "X_test = X_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", - "X_test = X_test.astype('float32')\n", - "\n", - "Y_train = Y_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", - "Y_train = Y_train.astype('float32')\n", - "\n", - "Y_test = Y_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", - "Y_test = Y_test.astype('float32')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We propose to visualize some images in the training set of images." - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 10 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plot 5 elements of the training set\n", - "width = np.sqrt(X_train[0].size).astype(int)\n", - "height = width\n", - "\n", - "f, axarr = plt.subplots(2, 5)\n", - "for i in range(5) :\n", - " img_i = X_train[i].reshape(width, height)\n", - " axarr[0, i].grid(linestyle=' ')\n", - " axarr[0, i].imshow(img_i)\n", - " plt.title(\"Image n°\"+str(i+1)+\" with noise\")\n", - "for i in range(5) :\n", - " img_i = Y_train[i].reshape(width, height)\n", - " axarr[1, i].grid(linestyle=' ')\n", - " axarr[1, i].imshow(img_i)\n", - " plt.title(\"Image n°\"+str(i+1)+\" without noise\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We define *hourglass_network* function in order to denosing the image." - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [], - "source": [ - "#==================================================================================================#\n", - "# hourglass_network(input_size, output_size, optimizer, lr)\n", - "#\n", - "# WHAT: Configures the model for training\n", - "#\n", - "# INPUT:\n", - "# - input_size\n", - "# - optimizer\n", - "# - lr\n", - "#==================================================================================================#\n", - "def hourglass_network(input_size, optimizer, lr) :\n", - " \n", - " # Definition of the model\n", - " model = Sequential([\n", - " Conv2D(8, (3, 3), activation='relu', input_shape=(input_size, input_size, 1)),\n", - " Dropout(0.25),\n", - " Conv2D(16, (3, 3), activation='relu'),\n", - " Dropout(0.25),\n", - " Conv2D(32, (3, 3), activation='relu'),\n", - " Dropout(0.25),\n", - " Deconv2D(16, (3, 3), activation='relu'),\n", - " Dropout(0.25),\n", - " Deconv2D(8, (3, 3), activation='relu'),\n", - " Dropout(0.25),\n", - " Deconv2D(1, (3, 3), activation='relu')\n", - " ]\n", - " )\n", - "\n", - " # Definition of the optimizer\n", - " if optimizer == \"SDG\" :\n", - " opt = SGD(lr=lr)\n", - " elif optimizer == \"Adam\" :\n", - " opt = Adam(lr=lr)\n", - "\n", - " # Compilation of the model\n", - " model.compile(loss='mean_squared_error',\n", - " metrics=['accuracy'],\n", - " optimizer=opt)\n", - " \n", - " return model" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "300/300 [==============================] - 1s 5ms/step\n", - "Train loss: 0.0027503319239864745 \t Train accuracy: 0.0\n", - "300/300 [==============================] - 1s 5ms/step\n", - "Test loss: 0.0027434508906056484 \t Test accuracy: 0.0\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 2 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "epochs = 100\n", - "batch_size = 32\n", - "validation_split = 0.25\n", - "lr = 0.001\n", - "\n", - "# Configures the model for training\n", - "model_hourglass = hourglass_network(input_size, optimizer=\"Adam\", lr=lr)\n", - "\n", - "# Trains the model for a given number of epochs (iterations on a dataset)\n", - "history_hourglass = model_hourglass.fit(X_train, Y_train, validation_split=validation_split, \n", - " epochs=epochs, batch_size=batch_size, verbose=0)\n", - "\n", - "# Returns the loss value & metrics values for the model in train and test mode.\n", - "eval_hourglass = model_hourglass.evaluate(X_train,Y_train)\n", - "print(\"Train loss: \", eval_hourglass[0], \"\\t Train accuracy: \", eval_hourglass[1])\n", - "eval_hourglass = model_hourglass.evaluate(X_test,Y_test)\n", - "print(\"Test loss: \", eval_hourglass[0], \"\\t Test accuracy: \", eval_hourglass[1])\n", - "\n", - "# Generate loss & accuracy plots for training & validation\n", - "visualization(history_hourglass)" - ] + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "MVA_MP1_Thibault_CORDIER.ipynb", + "version": "0.3.2", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "accelerator": "GPU" }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "<Figure size 1080x360 with 15 Axes>" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "cells": [ + { + "metadata": { + "id": "Qa4RXYesulfw", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "# MiniProject #1: Classification and Regression\n", + "\n", + "*By Thibault CORDIER*" + ] + }, + { + "metadata": { + "id": "JBdAqnIMulf-", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**GOAL:** The goal of this assignment is to learn how to implement simple image classification and\n", + "regression in Keras." + ] + }, + { + "metadata": { + "id": "q5AGIRyzulgD", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "## 1. Get Started" + ] + }, + { + "metadata": { + "id": "bGdF4HHYulgP", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.style.use('ggplot')\n", + "import numpy as np\n", + "from tqdm import tqdm" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "oddRpg-uulge", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "plt.rcParams['figure.figsize'] = [15, 5]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "IKjhD4bVulgv", + "colab_type": "code", + "outputId": "428f0390-912f-4a91-ee66-a4f31c3196f8", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + } + }, + "cell_type": "code", + "source": [ + "from keras.models import Sequential\n", + "from keras.layers import Dense, Activation\n", + "from keras.layers import Conv2D, MaxPooling2D, UpSampling2D\n", + "from keras.layers import Dropout\n", + "from keras.layers import Flatten\n", + "from keras.optimizers import SGD, Adam\n", + "from keras.utils import to_categorical\n", + "from keras import regularizers" + ], + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ], + "name": "stderr" + } + ] + }, + { + "metadata": { + "id": "JwAlIR1julhA", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We add the code provided with the subject." + ] + }, + { + "metadata": { + "id": "k5IVWpSzulhD", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "IMAGE_SIZE = 72\n", + "\n", + "def generate_a_drawing(figsize, U, V, noise=0.0):\n", + " fig = plt.figure(figsize=(figsize,figsize))\n", + " ax = plt.subplot(111)\n", + " plt.axis('Off')\n", + " ax.set_xlim(0,figsize)\n", + " ax.set_ylim(0,figsize)\n", + " ax.fill(U, V, \"k\")\n", + " fig.canvas.draw()\n", + " imdata = np.frombuffer(fig.canvas.tostring_rgb(), dtype=np.uint8)[::3].astype(np.float32)\n", + " imdata = imdata + noise * np.random.random(imdata.size)\n", + " plt.close(fig)\n", + " return imdata\n", + "\n", + "def generate_a_rectangle(noise=0.0, free_location=False):\n", + " figsize = 1.0\n", + " U = np.zeros(4)\n", + " V = np.zeros(4)\n", + " if free_location:\n", + " corners = np.random.random(4)\n", + " top = max(corners[0], corners[1])\n", + " bottom = min(corners[0], corners[1])\n", + " left = min(corners[2], corners[3])\n", + " right = max(corners[2], corners[3])\n", + " else:\n", + " side = (0.3 + 0.7 * np.random.random()) * figsize\n", + " top = figsize/2 + side/2\n", + " bottom = figsize/2 - side/2\n", + " left = bottom\n", + " right = top\n", + " U[0] = U[1] = top\n", + " U[2] = U[3] = bottom\n", + " V[0] = V[3] = left\n", + " V[1] = V[2] = right\n", + " return generate_a_drawing(figsize, U, V, noise)\n", + "\n", + "\n", + "def generate_a_disk(noise=0.0, free_location=False):\n", + " figsize = 1.0\n", + " if free_location:\n", + " center = np.random.random(2)\n", + " else:\n", + " center = (figsize/2, figsize/2)\n", + " radius = (0.3 + 0.7 * np.random.random()) * figsize/2\n", + " N = 50\n", + " U = np.zeros(N)\n", + " V = np.zeros(N)\n", + " i = 0\n", + " for t in np.linspace(0, 2*np.pi, N):\n", + " U[i] = center[0] + np.cos(t) * radius\n", + " V[i] = center[1] + np.sin(t) * radius\n", + " i = i + 1\n", + " return generate_a_drawing(figsize, U, V, noise)\n", + "\n", + "def generate_a_triangle(noise=0.0, free_location=False):\n", + " figsize = 1.0\n", + " if free_location:\n", + " U = np.random.random(3)\n", + " V = np.random.random(3)\n", + " else:\n", + " size = (0.3 + 0.7 * np.random.random())*figsize/2\n", + " middle = figsize/2\n", + " U = (middle, middle+size, middle-size)\n", + " V = (middle+size, middle-size, middle-size)\n", + " imdata = generate_a_drawing(figsize, U, V, noise)\n", + " return [imdata, [U[0], V[0], U[1], V[1], U[2], V[2]]]\n", + "\n", + "def generate_dataset_classification(nb_samples, noise=0.0, free_location=False):\n", + " # Getting im_size:\n", + " im_size = generate_a_rectangle().shape[0]\n", + " X = np.zeros([nb_samples,im_size])\n", + " Y = np.zeros(nb_samples)\n", + " for i in tqdm(range(nb_samples), desc='Creating data'):\n", + " category = np.random.randint(3)\n", + " if category == 0:\n", + " X[i] = generate_a_rectangle(noise, free_location)\n", + " elif category == 1:\n", + " X[i] = generate_a_disk(noise, free_location)\n", + " else:\n", + " [X[i], V] = generate_a_triangle(noise, free_location)\n", + " Y[i] = category\n", + " X = (X + noise) / (255 + 2 * noise)\n", + " Y = to_categorical(Y, 3)\n", + " return [X, Y]\n", + "\n", + "def generate_test_set_classification(free_location=False):\n", + " np.random.seed(42)\n", + " [X_test, Y_test] = generate_dataset_classification(300, 20, free_location)\n", + " return [X_test, Y_test]\n", + "\n", + "def generate_dataset_regression(nb_samples, noise=0.0):\n", + " # Getting im_size:\n", + " im_size = generate_a_triangle()[0].shape[0]\n", + " X = np.zeros([nb_samples,im_size])\n", + " Y = np.zeros([nb_samples, 6])\n", + " for i in tqdm(range(nb_samples), desc='Creating data'):\n", + " [X[i], Y[i]] = generate_a_triangle(noise, True)\n", + " X = (X + noise) / (255 + 2 * noise)\n", + " return [X, Y]\n", + "\n", + "import matplotlib.patches as patches\n", + "\n", + "def visualize_prediction(x, y, ax):\n", + " #fig, ax = plt.subplots(figsize=(5, 5))\n", + " I = x.reshape((IMAGE_SIZE,IMAGE_SIZE))\n", + " ax.imshow(I, extent=[-0.15,1.15,-0.15,1.15],cmap='gray')\n", + " ax.set_xlim([0,1])\n", + " ax.set_ylim([0,1])\n", + "\n", + " xy = y.reshape(3,2)\n", + " tri = patches.Polygon(xy, closed=True, fill = False, edgecolor = 'r', linewidth = 5, alpha = 0.5)\n", + " ax.add_patch(tri)\n", + "\n", + "def generate_test_set_regression():\n", + " np.random.seed(42)\n", + " [X_test, Y_test] = generate_dataset_regression(300, 20)\n", + " return [X_test, Y_test]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "1uoiwlewulhQ", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "## 2. Simple Classification" + ] + }, + { + "metadata": { + "id": "n-eU5agJulhT", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We generate a training set of images of simple geometric shapes (rectangle, disk, triangle)\n", + "centered in the images." + ] + }, + { + "metadata": { + "id": "5G1G1O2yulhd", + "colab_type": "code", + "outputId": "40d72b54-4f42-4440-bfb5-ae49faa1f9ab", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 52 + } + }, + "cell_type": "code", + "source": [ + "# Generate training and test sets (2x 300 samples with noise)\n", + "[X_train, Y_train] = generate_dataset_classification(300, 20)\n", + "[X_test, Y_test] = generate_test_set_classification()" + ], + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Creating data: 100%|██████████| 300/300 [00:12<00:00, 23.53it/s]\n", + "Creating data: 100%|██████████| 300/300 [00:12<00:00, 25.57it/s]\n" + ], + "name": "stderr" + } + ] + }, + { + "metadata": { + "id": "JqnbyOKOulhy", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We propose to visualize some images in the training set of images." + ] + }, + { + "metadata": { + "id": "Vu02qSRuulh4", + "colab_type": "code", + "outputId": "300df9c5-a207-4af0-df24-16be18d45cc8", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 209 + } + }, + "cell_type": "code", + "source": [ + "# Plot 5 elements of the training set\n", + "width = np.sqrt(X_train[0].size).astype(int)\n", + "height = width\n", + "for i in range(5) :\n", + " plt.subplot(101+5*10+i)\n", + " img_i = X_train[i].reshape(width, height)\n", + " plt.grid(linestyle=' ')\n", + " plt.imshow(img_i, cmap=\"Greys_r\")\n", + " plt.title(\"Image n°\"+str(i+1))" + ], + "execution_count": 6, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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R585rkaIp5ufnx5ZTNjExEVl7+r1UaS71MSKrnyrepR5RRno2pRwSPlPp46g2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\nKO53ZAWeOS4pGsFgpUMqnb7uVBtsh95vq9zyOcDKs2Sh7ROpuJiZNVP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SVigUCoVCoVAo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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5bf947080>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "S0WX8I7muliU", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "#### Q1: Build and train a linear classifier in Keras to classify a image into one of the three possible categories (i.e. rectangle, disk, triangle). Try using the stochastic gradient descent optimizer, then the Adam optimizer." + ] + }, + { + "metadata": { + "id": "zw5IYLoAuliY", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Define the input size and the number of classes\n", + "input_size = X_train[0].size\n", + "num_classes = 3" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "khLEjIEiulin", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We define *linear_classifier*, *visualialization* and *test_classifier* functions in order to classify a image into one of the three possible categories (i.e. rectangle, disk, triangle)." + ] + }, + { + "metadata": { + "id": "nGHY_9ZJulir", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "#==================================================================================================#\n", + "# linear_classifier(input_size, num_classes, optimizer, lr)\n", + "#\n", + "# WHAT: Configures the model for training\n", + "#\n", + "# INPUT:\n", + "# - input_size\n", + "# - num_classes\n", + "# - optimizer\n", + "# - lr\n", + "#==================================================================================================#\n", + "def linear_classifier(input_size, num_classes, optimizer, lr) :\n", + " \n", + " # Definition of the model\n", + " model = Sequential([\n", + " Dense(num_classes, input_shape=(input_size,), activation='softmax')])\n", + "\n", + " # Definition of the optimizer\n", + " if optimizer == \"SDG\" :\n", + " opt = SGD(lr=lr)\n", + " elif optimizer == \"Adam\" :\n", + " opt = Adam(lr=lr)\n", + "\n", + " # Compilation of the model\n", + " model.compile(loss='categorical_crossentropy', # mean_squared_error\n", + " metrics=['accuracy'],\n", + " optimizer=opt)\n", + " \n", + " return model\n", + "\n", + "#==================================================================================================#\n", + "# visualization(history)\n", + "#\n", + "# WHAT: Generate loss & accuracy plots for training & validation\n", + "#\n", + "# INPUT:\n", + "# - history\n", + "#==================================================================================================#\n", + "def visualization(history) :\n", + " # Plot training & validation accuracy values\n", + " plt.subplot(121)\n", + " plt.plot(history.history['acc'])\n", + " plt.plot(history.history['val_acc'])\n", + " plt.title('Model accuracy')\n", + " plt.ylabel('Accuracy')\n", + " plt.xlabel('Epoch')\n", + " plt.legend(['Train', 'Test'], loc='upper left')\n", + "\n", + " # Plot training & validation loss values\n", + " plt.subplot(122)\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.legend(['Train', 'Test'], loc='upper left')\n", + " plt.show()" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "jyaNiEebuli3", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "First, we try using the stochastic gradient descent optimizer." + ] + }, + { + "metadata": { + "id": "sz0JJaiEuli6", + "colab_type": "code", + "outputId": "79c5ebf4-5c1b-4cbe-efd0-5222d15c93e8", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 422 + } + }, + "cell_type": "code", + "source": [ + "epochs = 100\n", + "batch_size = 32\n", + "validation_split=0.25\n", + "lr = 0.001\n", + "\n", + "# Configures the model for training\n", + "model_SDG = linear_classifier(input_size, num_classes, optimizer=\"SDG\", lr=lr)\n", + "\n", + "# Trains the model for a given number of epochs (iterations on a dataset)\n", + "history_SDG = model_SDG.fit(X_train, Y_train, validation_split=validation_split, \n", + " epochs=epochs, batch_size=batch_size, verbose=0)\n", + "\n", + "# Returns the loss value & metrics values for the model in train and test mode.\n", + "eval_SDG = model_SDG.evaluate(X_train,Y_train)\n", + "print(\"Train loss: \", eval_SDG[0], \"\\t Train accuracy: \", eval_SDG[1])\n", + "eval_SDG = model_SDG.evaluate(X_test,Y_test)\n", + "print(\"Test loss: \", eval_SDG[0], \"\\t Test accuracy: \", eval_SDG[1])\n", + "\n", + "# Generate loss & accuracy plots for training & validation\n", + "visualization(history_SDG)" + ], + "execution_count": 9, + "outputs": [ + { + "output_type": "stream", + "text": [ + "300/300 [==============================] - 0s 90us/step\n", + "Train loss: 0.32382049759229026 \t Train accuracy: 0.8833333325386047\n", + "300/300 [==============================] - 0s 120us/step\n", + "Test loss: 0.354518115123113 \t Test accuracy: 0.8633333341280619\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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DYQkX242zsR2nOncRqjJRHKqJU9DvvwX79+Iz3OihCk++B3XeObgMhQIC8QoK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\ni4r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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5bf7fbdd8>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "zwv4_umQuljS", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "Now, we try using the Adam optimizer." + ] + }, + { + "metadata": { + "id": "sbNBcO17uljW", + "colab_type": "code", + "outputId": "0feb7d5d-c2c8-4030-d301-cfe280ba7866", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 422 + } + }, + "cell_type": "code", + "source": [ + "epochs = 100\n", + "batch_size = 32\n", + "validation_split=0.25\n", + "lr = 0.001\n", + "\n", + "# Configures the model for training\n", + "model_ADAM = linear_classifier(input_size, num_classes, optimizer=\"Adam\", lr=lr)\n", + "\n", + "# Trains the model for a given number of epochs (iterations on a dataset)\n", + "history_ADAM = model_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", + " epochs=epochs, batch_size=batch_size, verbose=0)\n", + "\n", + "# Returns the loss value & metrics values for the model in train and test mode.\n", + "eval_ADAM = model_ADAM.evaluate(X_train,Y_train)\n", + "print(\"Train loss: \", eval_ADAM[0], \"\\t Train accuracy: \", eval_ADAM[1])\n", + "eval_ADAM = model_ADAM.evaluate(X_test,Y_test)\n", + "print(\"Test loss: \", eval_ADAM[0], \"\\t Test accuracy: \", eval_ADAM[1])\n", + "\n", + "# Generate loss & accuracy plots for training & validation\n", + "visualization(history_ADAM)" + ], + "execution_count": 10, + "outputs": [ + { + "output_type": "stream", + "text": [ + "300/300 [==============================] - 0s 87us/step\n", + "Train loss: 0.019522152890761695 \t Train accuracy: 1.0\n", + "300/300 [==============================] - 0s 84us/step\n", + "Test loss: 0.023772835011283557 \t Test accuracy: 1.0\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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GdDn6uZ0D8h1cHg/KLx9WwID8xvK4QQUOLhuazz831fDt4YX0y7Mf9fmEONEU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\nhOglJMATQgghhBBCiF7i/wPPRuxo9sK4lwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5b6cdd0f0>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "ShuUQMntuljm", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Conclusion**:\n", + "\n", + "We build and train a linear classifier in Keras using the SGD and Adam optimizer. We obtain the following results:\n", + "\n", + "|Loss|Train|Test|\n", + "|:-:|:-:|:-:|\n", + "|SGD optimizer (linear classifier)|0.223|0.254|\n", + "|Adam optimizer (linear classifier)|0.020|0.026|\n", + "\n", + "|Accuracy|Train|Test|\n", + "|:-:|:-:|:-:|\n", + "|SGD optimizer (linear classifier)|0.96|0.94|\n", + "|Adam optimizer (linear classifier)|1.00|1.00|\n", + "\n", + "\n", + "Results are better using Adam optimizer than using SGD optimizer. In addition, the convergence of loss and accuracy function is more stable with less fluctuation using Adam optimizer than using SGD optimizer." + ] + }, + { + "metadata": { + "id": "7T_TlM5Xuljp", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "## 3. Visualization of the Solution" + ] + }, + { + "metadata": { + "id": "GfqjH3X0uljs", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We would like to visualize the weights of the linear classifier, in others words the 3 columns of the weights as images." + ] + }, + { + "metadata": { + "id": "idrV7BD2uljw", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "#### Q2: Visualize the 3 columns as images." + ] + }, + { + "metadata": { + "id": "V6l6_uBXuljz", + "colab_type": "code", + "outputId": "fe05cd62-be8b-4aca-f0f2-a61f278d0440", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 337 + } + }, + "cell_type": "code", + "source": [ + "# Visualize the weights of the linear classifier (the solution)\n", + "width = np.sqrt(X_train[0].size).astype(int)\n", + "height = width\n", + "\n", + "# ... with model_SDG (line 1)\n", + "for i in range(3) :\n", + " plt.subplot(231+i)\n", + " col_i = model_SDG.get_weights()[0][:,i].reshape(width, height)\n", + " plt.grid(linestyle=' ')\n", + " plt.imshow(col_i, cmap=\"Greys_r\")\n", + " plt.title(\"Col n°\"+str(i+1)+\" with SDG\")\n", + " \n", + "# ... with model_ADAM (line 2)\n", + "for i in range(3) :\n", + " plt.subplot(231+i+3)\n", + " col_i = model_ADAM.get_weights()[0][:,i].reshape(width, height)\n", + " plt.grid(linestyle=' ')\n", + " plt.imshow(col_i, cmap=\"Greys_r\")\n", + " plt.title(\"Col n°\"+str(i+1)+\" with ADAM\")" + ], + "execution_count": 11, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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8Pn36tNgterjpKZ82bZq81WSvqMadPHlSc5AMzIULF8R4s/aD71OsWDGNh97M\njh07yh/J4kvWlhQtWlSeT6qDnLdz5sxRvCTb/s4774itZmxhfDt27JjGw1iUlpYmNZCKH8f62muv\nqViNNURkx93c3MSSMR56eHhorPS6U9G7ffu2WH0yaBMmTFDsofpBL+vBgwfF+JF9JEtYuXJlKX8G\nBtkJc+fORfXq1aWc0W9NRjo2NlZKGtfjGzduKD9iDSA7ulSsWFFsM9lhKv1eXl7Kizinjxw5It84\nf8ZY8NVXX2necq5Vq1ZN+dTixYsBWLs/vffee/o/etffeustAJbYxmtRNcyVK5fqZ6g4MgYmJyfL\nhcEaQDs7O5QpUwaAlSHPXDBK5wSfBcdVpkwZFeTymsHBwcr5yNbz93Lnzq24yGcTERGhrjcs8Ges\nrVOnjpRJuiWopB49elRrhWHWDQwMDAwMDAwMDLIhnhuzbm9vjwYNGohlYZsutvCqXbu2WCru0BYv\nXqydDdldsr5btmyRP4u7PbJgbdq0EStMn9fly5fFtnOHQ+/622+/rfGQrYqLi1OHGPrR2X2lZMmS\n8mTR+0RG6v79+3jllVcAWDtJJCcny+dKhuyzzz4DYOmswJ7t9Edt3bpV1dfstsCK461bt+LYsWMA\nrN1auFNzdnbWbpWdImbOnIk5c+YAsOzuAKv/v06dOvLccveZN29esfNk5NkhY/369RoP74ce0DJl\nyuh5GhhkNxw5cgRXrlx5RK3jHHv77bfFwlBNc3d3l/LHri6Mb0WKFJGPkh2pGHfOnDkj5Ywe8Tp1\n6qiLARU9suJxcXFqP8bOJ40aNVJ7RdaiUCVLTU3F6NGjAVg7xWRmpcj+kMVq3bq12CT6T+mhtLGx\nUbwgY3X+/Hl1mCBLRk9rjx49xBKRqaKamJCQIAWPPvtt27bJn8p4S1/ozJkz9XmQyUtMTFR8Yoxk\nDPr+++/lveVa8sUXXwCw1D+x9aaBQXZCixYtEBQUpO85cw+qcvny5dMcY97j7e0t9wKVJ6rzycnJ\nqmUhk8t506NHD+UyrEurVKmS8i6q+HRIHD9+XM4DqpJnz57VvGU9CTtPjRo1Sjkd/dy8r9KlS+t9\nGFfHjRsnhwLvmznjzJkzFVPpTsiRI4c6+lGJYMy8c+eOPOV8byoKe/bsUczg7+fPn1+5H++bfvOb\nN28qDrHm5siRI1IcmaPxWn5+fnr+S5YsAWDJeQGLGsD6oT/Dc0vWq1Wrhh07djyU1ALWm3J2dpbc\nwQLNKlWqaPFjwROl5Js3b0o+HTp0KABrQdb58+fVJocN6wsVKqRkmGPILB0xaWUhhK+vrxJeyhVM\nmDt06IAff/wRgPWBZ24tyQIMb+yFAAAgAElEQVROLoYjRoxQIZmTkxMA6wLu4+OjYitOtLx582px\n5iFElI+bNGmixZYJBWWh7du3q2UjCzXCw8PViog9Qzmx4+Li9GViAcWlS5fw9ttvA7AegMCJMHDg\nQBV1ZT48CrDI+LTl0IJjYJBdEBcXhx49eqhom1YLJq9z5syRvYNx5rvvvlOROxNmFpCnpaVpk8x5\nx4S4RYsWugaTYldXV5EBlHS5OHXv3l3yLeNMu3bt9HeOi+RA48aN1TKM8YMWu5SUFC04tOLRrgJY\nD5HjxrtPnz6a19xMbNiw4aFzGQCob3O7du20GPH+GTc7deqkTUN0dDQAS8JN6xBbuTGeJSQkyLpC\ne2Lbtm1FFGS2OAKWAi/aAChb0w7j6emJ69eva8NhYJBdkJ6ejuLFi8sawkML+e8rV64oaWWyOGLE\nCOUAtBDTXhYUFKSfsaCexGfOnDmVJ7EYPDg4WMWmTG55QFNSUpKIASactra2OsCIcYRJeHh4uOIP\nCUKOr02bNrouCZGXX375oX7kgNWye+fOHW0UWEjeqFEjxVHGR9psUlJSFE/4PvzZokWLRE6SQNmy\nZYuuxTjPQv/u3bsr8We8btSokUhf5lzcDM2aNUvxmU0CSFj4+vpi8ODBej5/BEOFGhgYGBgYGBgY\nGGRRPLfWjZRxWARFpoesbatWrcQycef0+uuv66AMFkixlVrRokW1G2RxF08ktbGx0e6FBUo7d+4U\nK8xdFZkZe3v7h4opAAvDznZhtJZwzImJiWL/eQ1K1p9//rmuT6aoS5cu2hXSshMZGalxcUdHyWjV\nqlUaK1uRkcHy9/dXUS6ZK7ZNO3/+vNQCsnK2trZi9ako8GQyPz8/KQ88AGHYsGHa6XJnShm8bdu2\nj7BylOLc3Ny0A6YdycAgu2DAgAF4//33NefJWpEZ2bx5s1QrSrSnT59Gu3btAFhtF7SmhISEqGCU\n7WM5L5KTk3V9Mk8ODg5S2Mg00/q3e/duxRuy1tWrV5cSRxaK8bBnz55S8Mj0sKBs7ty5uj6Znrp1\n64o5Ytzhva5Zs0YnLDOGpaWl6b0obzOOp6WlyW7CWM0/e/XqpXHQPrhy5Uq0atUKgJU9Z4y8cOGC\nlE7e6/Lly9XilowebZOenp4aP5ktsonLly/HiBEjxAwaGGQXhIaGSgEHrOvyDz/8AMAy91hsSsvL\nxYsX5UpggSnX7piYGBVn/9654OXlpTnHGOXq6ir7Lpl7xrYLFy5oTrO4O0+ePCq65EFwZL4DAgJ0\neBLzF87j3bt3i7lmAXqpUqVkp/s9W1+iRAmNn0X2L7/88kMtuYGHWysyhlEJZCvx0NBQ5Yq0MY8Z\nM0bxjS4D2oA7deqk50QLZHp6uopOeYglY2flypV1b3Rs0F1x6dIl5XRs8/s4GGbdwMDAwMDAwMDA\nIIviuXnWGzdujNTUVDHXLPbkMffffPONPFL0Ndrb28vTziJKNv9/99139ToWcnFX8+233+r1LHro\n16+fCg54pDZZ+4IFC2onyOKHF198Ub4u7vLoG7927Zp8nGTU6PNKS0sTE0/Gx9vbW/dG9ojsU1RU\nlNgyFoDGx8eLbae3P3PxJv209Nnzva9evSoPFluvnTp1Sm2UyDKRFQ8LC5NvjB75mJgYFVOQgWcB\nbFpamlh3+krpvT1+/PgTFUkYGGRFXL16FbNnz5YHkgWT9H7v3btX85pMSlhYmOIF5ylZnNjYWNXX\n0LNN33nVqlWlSJG5admypZh0joFz/uDBg2JhyLCdPXtWc52MDZn7xo0bS5Gj6sh4W6tWLbVpJPse\nGhoqtov3xjnv4OAgBo+sVMOGDVUMSjWTHvFevXrho48+AmCt56G3MyEhQcoq78PNzU2qZI0aNQBY\na5BKlSqlcVEpDAkJkb+TNUuM9VFRUfq86GNn8VdISIj+z8AgO+H48eMYPny4VD6y2mTRnZ2d5Txg\nLUhYWJhiC/MF5h5vvvmm8hE6EKhE1axZU3VoLPyOiIhQjCHzS/fDTz/9pAYULOaePn06AgMDAVjr\n41hn8tJLLykGMM6xheywYcOUm2VuOctchgoB1c/PP/9cMYwK5507d8TUs3aQcbRkyZJyITBmMCcC\nrM0/6BC4fPkymjRp8tA1qCiOHTtW90hXwgsvvKDYShWDDopZs2YprvF+uR74+vrKVfJneG7Jupub\nG2bPnq0HTnmASeKKFSsUfJkcT58+Xckgk0ouQuvWrdM1NmzYAMDaraVfv356SCwOvX37tqQiSqq0\nh3h4eEiaYIVv3759Ja28+uqrAKwLgJOTkz4UFpTxw+zSpYs2ESwoc3R0VPU0JVwmzG5ublqkubG4\nffu2pG3K31wwK1asqM0JC3L5pcmbN6+KI5hUu7i4aJPCnqqcxN7e3nodOyuEhISo2JRj5PvY2NhI\nPvt9r9SzZ8/KAmBgkB1x6dIlWTYYSFm4lSNHDiXwDKwuLi4K7Nyo0oZx8uRJ/Z1FmwkJCQAsyS4X\nHBZ3rly5UkXrXHhZ1FWrVi1JzOzfa29vrwWW50ZQoj5w4ICSdPZk5gnFTGYB6zkQRYoUUTLMLjWc\ny0lJSbLnkKw4f/684jGtdbTULF26VPGCZAivnSdPHpE1jLMjR458pDMDu1AUK1ZMBEzNmjU17rVr\n1wKwFvCzUOvcuXOSt9kBgglHwYIFlXAYGGQnVKtWDZGRkXjvvfcAWOdc5hziww8/BGA9e8DDw0Nz\nkjkTi6s9PDw0x2jpYwKZkpKi+UibytGjR9VVivkaE/NSpUqpY0rmjlPswseYwd9funSpkmnGUZKC\n3333nXI6jqty5cqyGvM9+RxCQkJEetKiHB8fr3FzXIyBjRo1Ulcpkq0kJRITEzVmOsO3bNkiwpV5\nzsiRIwFYbNskL2gB7Nq1q+I5nwXJgrt37yqfZAzm2rJ3716RKX8GY4MxMDAwMDAwMDAwyKJ4bgWm\n3bp1Q7ly5R5pSchd37x588Q+U6JwcnJS0SWlEEo0L730kiRotrshQ52UlKTCSbbuioqKkvTKIgEW\nlcbExOi6ZL/c3d0lxfAalGhcXV21++SOkYxcbGysJCLKtX369BGTxD7u3NnOmTNHxQVk4goXLqxd\nG3sOs+DL2dlZu8LMLRg5Lu6QWTASExMjKZkqBXetmQsbKA8FBwdLQSAzRkVi9uzZYvrJeHHHGRER\noeJWsngGBtkFvXr1QuHChVXcSCsH51jPnj0VU1iMGRoaKgWMfYrJpAwZMkQSLeVYskb+/v66Fi1n\nfn5+Uh35fyzKOnnypCRUqmK1atWS5M25TuapUaNGKrJiPOD7lSxZUqen8lpBQUHqu0w7IOPCmDFj\nFLNpSezVq5dselTYaOv54YcfZG3k7zHOLl68WLGKRfjOzs4PtdcFrMX027ZtU8xiL+a4uDgVvFN5\noAUpJSVF7WwZN3mPFStWxK5duzReA4Psgq1bt2LDhg1yHNCuQbW9QYMGKqZkvrR3717ZZHmSJ3OI\niIgInTbOXIhzqWDBgmKuWRj/zTffKLbQSkNrTfv27XWqJ+fxqlWrFEd4fboGypQpIzcCYw7Psli7\ndq3yCtqd79y5I4sdFTrea6FChaTGMR41adJEbgq2paRKOGrUKLWVpkJJN0daWpryHqqqFSpUkGOC\naTKV1IyMDMU85j1BQUGKYYzXZPl3796tcTMeent7A7Cw+4y3tDY9DoZZNzAwMDAwMDAwMMiieG6e\n9dTUVNy5c0dMFBnmsLAwAJYWafQD0Xd4+fJlecnJHrHt2M6dO3XwEXdq9C/t3btXfnT6g1xcXMTq\nsDUPdz8dOnRQKzHuJr/99lu19aFHjLvRAgUK6OAgejC5m/P399fOiWzQvHnzdKofGXXujk+ePInh\nw4cDsHqr2rZtq7ZALMagipCSkqIdNj2nZMDHjh2rXTQZ/z59+ujQFHrbWcj6/fffiyVkMW3hwoVV\nDMICMe6ce/Tood0zx8Nn36VLF+0UDQyyG7p06YKRI0eq5oNtvFi4lCtXLh0KxHqV3r17yxvOucg5\nVrduXbHHLDDlAUu7du1SwShjUHBwsFh5Xosx4+uvv1bhJ+edg4ODfPKswWGrtfz584vR+X0LNRsb\nG6kHVAfr16+vcbPVI+OunZ2diknJMh0/flxF8SxU48FPzZo1k6JANo2x0dXVVfGff8bGxuq+ycTz\nvRs2bChmjqzg6NGjFXvJ9DOG7d27Vz8jG0dcv35diqKBQXZC//794e7urlo1qtn8/gPWNZ3Fnvfu\n3dOcpB+ac65w4cLKc6iy8fdWrVolvzX97w4ODiqYZAxgPjZu3DjVjnBctWrVUvzk/CUzP3/+fLHy\nbMlItevu3btSA1i4vnfvXuUyBGtP2rdvL2adjPe///1vseb0iJORv379uppt0MXAA40+/PBDPQu2\naUxOThY7z3tjjd/LL7+s17HodsqUKXrmzMkY09atWyf2n3kexzJgwADV3Rhm3cDAwMDAwMDAwCAb\n4rl51qdPn44bN25op0GPNw/EyMwGcdfTuHFjHWvNnR3Z7U8//VSe8vHjxwOwVhcXLFhQLAr9n4GB\ngWLZ2XaQ196/f7/aoHFcVatW1Q6OPq39+/cDsLBH9ElyZ0d2PHfu3NpVsStC+/btpSCwIpsqwNWr\nV9W5gOz+xYsXVYXMZ8KdbO/eveWJJ5PGXWzOnDnl8eRuz9fXV+2HWH3MHeTVq1e1eyZLt2PHDv2d\n/k9+RoULF5ZPjt1j+Bn88MMPYtRCQkJgYJCdsG7dOri7u8vjzU4C7DCVkZEhdog/s7e319xjxwL+\ne8mSJVKmOC/IsBctWlSdosj+XLp0SXGALDrVwbS0NP2MbNrWrVvlo6TvkgyVv7+/2Cgy5WS4JkyY\noO5ZbFuWP39+KWSMXWTa3n77bTFTZNgbNmwoFZR1Oex4s3LlSo2HsYKMnqurq+6JzN7MmTOlRLJu\nhr7V8PBw3S/V0ClTpii2UTVgR4fPP/9cigUZdnbW6dGjBzZv3ix20sAgu2DUqFGoWrWq/Oj8k/Vj\nq1evfqSDi6Ojow4rYgtZMuwbNmyQysfcgJ1Q5syZo3WfSmJwcLBUc3q+2UZy8uTJmn/sSNOiRQvV\nlZCRZt43bNgwecI5N1kT9+GHH0o5JGt97do1xRh2WuH7Xb16VbGGOd2FCxeU87HrDGsaN2zYoOfE\nOkTmmmfPnpWbgUpdTEyMnhM7AjIWent7K8dku94XX3wRb775JgCrssdOMStXrlTNJHMnxrb+/fsr\n/rJz3+Pw3JL1TZs2ITIyUq1zeKO0efz444+SoJlU1qxZUx8sk2jaNerXr69EkcklFyEXFxd9kdlH\ntGDBgkqGWQDFhPjLL79U8swv46FDh/Q6tilj4VPnzp01VlpkWHxasGBB9eKkfaRAgQJqm8h2S7Tw\nFCtWTKdw0X6ydetWWYEocfOas2bNkkTEZ8eFODIyUvI0v5SVK1eWnM6CNBaclixZUvfGz2X37t0q\nYGVBBBOYwMBABQPK6kxOLl68qE0NrTgGBtkFa9euxcmTJxVDaMWgdPnGG29oPtC6MnDgQMUezhHG\niJUrV2rxYl9kxoPq1avLzsdFpkmTJmqZyuDPhHn69OmKESyCSklJUREpiQy2QHvrrbdENHBB5CKY\nkZGhQlZK2hMmTBDRwYJ/xuewsDDFIC5wbm5uagZA2ZaLvr+/vxJxEhqUqDdt2iRygMm9t7f3I32j\nGad8fHwesQ2WLl1a12BST1m5SpUqImC4MHKxXLduHd59910lDQYG2QX9+/dHbGysGm8wYSRZV6pU\nKcUFkgCDBg2SXZavI9lYoEABtXXkfGCC+91332lDyzyhSZMmyl9YQMmN+5kzZ1SMz/X/7Nmzyl+Y\n+Pfu3Vvj+n3OQRtcvnz5RI6QkNy8ebPIRbaB5HvXrVtX85w2vqSkJJGktDBmPtWdhavMoViAXqFC\nBV2XsXP16tW6N5KttCguWLBAnwdjVMeOHZV3MvYNGTIEgCU2s9EAnwlb7Xbv3l0xkON6HIwNxsDA\nwMDAwMDAwCCL4rkx6zw0h6wUdx5kcI4cOYIOHToAsDLfly9fVuEEpWQy5SVLlhSzzLY3mVuZkQXj\nqXgTJ04U80SZmZJpcnKyih743kOGDFF7SRaakiFq1qyZWklyV0XZp0+fPhorCzUcHBy0Y+LryaID\nVgmdzJqNjY1aPVJOIZMVHx+vQ0HIqPEZ3b17V7LTqFGjAFhOK6NURIsMd7n79u3T7plsW//+/fU5\nsG0dJfiAgABJ0DykhAezFC1aFNu2bdOzMzDITjh37hxeffVVzQ3ObypaxYoVU7wgs5WcnKzD13ga\nH9mZ+vXray4SZIAdHR1lu+NhHjdu3FD7NDJClEkvX74siwgPVStWrJhYIVrxOO9u3boldp6/99ln\nnwGwxBG+Jxmo5cuXS2omI0ZZtnXr1oqNZPfHjx8vSZrLB1+fnp7+UMEnYGX2GjZsqGfIsebIkUOq\nBNl/trh0d3cXK8Zi3fDwcLF7VDUYr9555x0xjCyEJ+MWExODPXv2aJwGBtkF586dw8yZMzUvOB8z\nq+7MgTivBgwYIJWJFl2u53Xr1lXuxJyAjHb9+vUV39g+OiwsTAodHQGMbStXrlQewnmfJ08eMfxU\n71ggbmdnJzshYxMdDt99953Gw58VL15cRaeZW0kClmYjtLGwze3w4cMVF3lYHHOuxYsXK+7SSsP4\nNXPmTMUrxpeqVauK/Scbzjxv586dOsSOuVOZMmW0blBVZeFoZGSkngXVDMavRo0ayVbIgtbHwTDr\nBgYGBgYGBgYGBlkUz41Zb9OmDbp37y5fIv0+bFg/efJk7QDJkLdo0UL+afoz2WqnXr16YpnYBnLl\nypUALAdnkOEic/zKK6+IDWIxBVmxPHnyyN9FD9RPP/2k1jr0urMJ/qxZs8TY0F9PD1ifPn1UWEX1\n4PDhw/o7iy/phbp3756uS2bp/fffF4vP+6BfdOfOnQ+1NgOAn3/+GYCFNWMRCV8/b948sYUsOps+\nfToASzEGi0g4rvLly2uXzh0jlYXdu3eL6adCws9v2LBh8snTk2ZgkF1w7tw5REREiB0i28s41aRJ\nE6lbZKTnzZungiCqafHx8QAs8YzziPEpczH6p59+CsDqjS9cuLCKKOnRXLp0KQALg0Q1jb7Q4cOH\nK6ZwPGS7kpOTpeqRLSLLtHTpUrHOVMU++OADMUeMY6zdGT16tOIsWSY7OzsxSIwzjAv37t1TLOHh\nKvTqJyYmqtaFTQFy584tppCsONXNTp06iTljsVxiYuIjh+HxM7t//77Wjt8fdz5s2DD07NlTnnwD\ng+yCESNGoFWrVmKP2TqWRZgjR47Uekz2fNCgQcpRGLc45xwcHKRUcd6yCPX8+fMqJiWL3K9fP+U5\njFdU/nPnzi2VnfVso0aNEsNPNpmxbdq0afoZ6/fInHt4eKjdK+NRuXLlpJwxXrFddlxcnJhyFpv3\n69dPhf304dOD7ujoqDoXes9532lpaWK66e2/fPmy3pPxnYdmdu7cWeoE6wSHDh0q9p/NTJjbRUVF\nqSiXRass/ndzc9M682cHShpm3cDAwMDAwMDAwCCL4rkditSoUSPUrFlTXiH+SVbl3LlzYmZdXFwA\nWNgden7IsPBAD2dn50d2dJlZHlYvs2PM2rVr5Y3iboedZdzd3eUZIgsUGxurymHuwsgwd+/eXWwT\nWWT6nB48eCCGi7vEDz74QF1jyIxxl/vrr7+K6aKvPSoqSt1l7t27B8DqbU1MTJSvlOw7maY1a9aI\nbQsNDQVgUQ/o/8p8KAJgqSJnJTbbCV28eFHqBw9TYnV4eHi4WDP6a6lcBAcH64AUA4Pshnv37qFc\nuXL6zrNbCZmVEiVKqM0iVb6KFStqvrFlFxntKlWqSMn67rvvAFhZrMTERM0xtgu7dOmSOg7wmvRe\nzpo1S/5R+knXr1+v+cw4Reb+ww8/FGNERp3js7GxEXPPY77ff/99XYPedsa6Tz75RLGKTNKDBw/k\nLWW3FTJO+/fvV0tItpKkMrlixQr9jOxX3bp15RtlVyuqE4cPH9b7kB1r06aNVFC+J5/TkCFDdG9k\n1qkQdO3aFStXrjTMukG2g7OzM2xsbPTdZccRrvFFihRRPOFcCAoKUqcpgrVtO3fulGrHvILz5aef\nflKNCXMhe3t75SH0yTMWJCQkiBXmIZDR0dFSuBgDeQBSenq65j5zP97PkiVLHjlArm7duvJ/0y9f\nq1YtAJa4x9yGsW/GjBnKxZi3sJ4oODhY1yKDTfUvZ86cehasc7x165a6ZFHtoyNi0qRJqoHk/509\ne1bKBpUI5qHFihVT/Gc9EWOnt7e34vqf4bkl6xUqVEBUVJQSZRZvUk51cnKSPYNSxSeffKJgy17f\nlEdOnz6t5JZyD5Pk0aNHKzGnlHPt2jUl2PwZv4xeXl5qDcZFzdHRUe10+OEx8f/tt99UdMmCJX74\nW7ZsQfv27QFYFlnAskBSuqLUQguOra2tZCBK3T4+PtqwcDPAZN/e3l4yDWUVfkG+/fZbyTAcV2Ji\noiYMEwM+302bNmmDxMl17do1SV0cF7+o/v7++kJzcadNp3nz5irkMDDIbmjbti369eunjS8tH4xX\nTLgzo1ChQgrULJriAlqoUCElplxcmAD//PPP+jtbwPbr109F8ZS7uSl3c3NT3KB9xsvLS+/FNpCM\nfwkJCZrPjJ9sp7p8+XJZ/bjRjo6OVkLNmMi5X6RIEcm1POvhypUrsiPydFLGz/3796tIigkENze5\ncuVSjOD9Ozg4KBFg20vGbCcnJ51GSNm+du3a6jPNJJ92vaioKNleGDdpfRw+fLj6ORsYZCfY2Nhg\n3LhxWufZ0pUxYfz48Sr+5v8NGzZMVgy2OiVR6OzsrHWbxAATx1mzZilXYWxr166dNuzMw1iQmj9/\nfiWkjJlDhgyRLYU2PCbfLi4uGiutO0y0/f39FQ+Z+NetW1f5Hcfs7+8PwEKgrFmzBoDVCpiamqrE\nl/Od/dbHjRsnq3SzZs0AWG2OSUlJyumYm7m5uclCzKSe5Gbz5s31PrzG8OHD1cKWMZbPLSQkRAW/\nXEu4SXFxcXmo4cgfwdhgDAwMDAwMDAwMDLIonohZX7ZsGU6fPo309HQEBASgTJkymDFjBtLT05E/\nf3707dtX7MYfISEhQdIJYGWUKBv36dNHthbuqho1aiQGhlYX7q6KFy+u3QgZcDLTX3/9tVht7nC2\nbNkiJp67TzLs165dU3ETd62DBw8WS012hm3EatasKYaLDDNZscwWFp5W+tNPP+kabG9IpKSk6Fnw\nWjVr1hQbzhaMlLSOHDki5p7MGnea69ev1/uQfV+5cqVezx0sWfp27dppF8lCuV69eomB53PiTrtP\nnz6ScNiuadKkSQAsDD53ndzRGxj83XgWsQmwtFW8dOmSWsPSwkH7Rc2aNfUzstCXL1+W6sT5z2Lv\nXLlyKX6QMWah6fbt28UYs4jdwcFByh/nIlmdli1bqliVCl5MTIzui3GQ4/Py8lKrNKpvZJeGDh0q\niwxj3oULFxSX+D782cWLF9WGjbHI3d1dY8tcrA5Y2HDGY8rRtPmVLFlSz4dS+O7duzUeHkxHBj9n\nzpxi5shsHTt2TPdEZovWFz8/P53ASsWQ7GCVKlVUiGpg8LzwLOJTgwYNsHz5cjHrVP95qE7fvn01\nb9neMT09XfkU40NmOxoLPqnecR2vWbOmWGfmI/Xq1ZO9huw8LWtlypSR5YPql7Ozs9pjk3WnIn/5\n8mVdl7YeNsqIjIwU284i1Li4ONmVmX/RilupUiXZ5Mjk29jY6PVk+hkf3NzcFFsZKzmGUqVKqViV\nhbtXrlyRLZI5GuOJq6vrQ8X+wMMHdTIeMl/KnTu3ClHpJmELx8qVK0v9+DP8ZbJ+8uRJXLlyBWPH\njsVvv/2Gjz76CJUqVULTpk3h6+uLr7/+Gjt27NCHb2BgYPA8YGKTgYFBVoWJTwbPEn+ZrHt5eanA\n0tnZGffu3cOpU6fkB6pRowbWr1//l1+4evXqYd26ddrJkPllEWa1atXURpC7nkuXLmH+/PkArEVH\nLPKKiYnRDoUsEse5cOFCvPrqqwCsO5y6deuqeIFN9XkPffr0UaECGbLRo0fLv0nfKtma1NRUeS9Z\n8EpW39HRUewOd3TR0dHaTdIvzl3iTz/9JMabz2b9+vU6KImeMu7s0tLSNC4yTLyf0aNHq1CWzyst\nLU1FEmTu2G5x8eLFYtzIJFauXFmeURaRcqdZoEABfTYshuOOvG7dujoi2MDgeeBZxSbAMrfz5cun\n+cb5zWulpaWp2JQH+3z88cdiWsgEkakqVaqU2GOyRfREVqtWTQWsZObPnz8vtYoxi57s8PBwxcnu\n3bsDsBSCUgVkqzUyxw0aNNB42IKSNSzt27cXk0dGqEiRInodYwWLT7/66iupm2TOFi1aJFab/lPe\nR44cOXTf9N6zHWRAQIA+C465bNmyUi94P2SZXF1dxfCzwcCDBw8Uj6jK8jtQtmxZNSTgwVL8vUqV\nKmHJkiWKjwYGfzeeVXw6c+YMChUqJGWOTDZbE54/f14HH3JdPn36NMqXLw/AyjqzdmTv3r2aa8xf\nWHhZtGhRdOrUCYC1tWL9+vWVAzHnYj3K6tWrlZswD1m2bJkOgCNrzjnesWNHebfJZFMNGDdunOYv\nx/r999+rPoYxjGOeNGmSVDy6AapXr464uDgA1lo+esojIyPltGAzDOYvPj4+8tWzJubMmTNqUcl4\nyPh48uRJxVjmb5MmTdKzoFrI57Ro0SI5GhjXqbja2tqqWJ6vfxz+Mlm3tbWFo6MjAIt8W7VqVRw/\nflwBP2/evKpy/TNkZGRg//796NWrFwBrIRMXpnbt2inJ5Yfp4OCgjieUUpnQR0RE4LXXXgNglWJZ\nRJWWlqaAzi92qVKllMBSRmKRRMmSJbUgsdjpvffek5zCAofMcjMlXn747NZw+/ZtLTAsIPDw8NBp\nhFyI+AWsWrWqJCwu4PHL9XMAACAASURBVGfOnNFiQwsKJfWgoCBVcnMRpL3Izs5OhWUsip0/f76k\nGU5oFulu3LhRUg4n6IYNG/D2228DsEpXfM3u3bslh/HLy+/B119/rcTfwOB54FnFJsBCAjRp0kRJ\nKxNTxp8qVapIHmYXgw8++EDJOvsJM9688MIL2tzT1seOS1OmTFHfXia2aWlpkkUZK7jAde7cWZY3\nJtgTJ06UzMuFh0RAzpw5ERQUBADqnEIbScGCBTV+Jq6rVq3S4sKNBc+KSEpKko2O9/HgwQNdn7GR\nMSx37tza1DC2M2Hevn27bDyZLSyMY0w0GK+cnJxkVWTs9vHxURxmcRkX9uDgYBWW0orH55yYmCgS\nwsDgeeBZxac9e/Zg1KhRsqMx72GXk8qVKytXYSL4888/Y8eOHQCsxd9MWnv27Kl4xTyESe9XX32l\nvuzsJFWnTh0RDVz3mauULVtWsYO5SmxsrDrO0fbGcxIaN26sOEVbHYnbHDlyqCif5+s0a9ZMBArn\nL2NhQkKCNjrsvZ751GPGX8byli1bKu4wMX/33XcBWIgU5nAcV5s2bbR5YO7EsXh5eekZ8jMOCAjQ\nqaaMmWwUEhQUpGfMZ8PP6uLFi09k1XziAtODBw9i+/btYnYMDAwMsgJMbDIwMMiqMPHJ4FngiQpM\njx07htDQUHzyySdwcnKCo6MjUlNTYW9vj8TERDE1f4a5c+di6NChkpAp6VA24I4NsLLbxYsXF6NM\nBidzf1/u2shy08LStWtXyRuUswMCAsQokz0jE9+qVSvtJsnMfPrppyoIICiJTJgwQbIRpVgWilWt\nWlVjJjsVFhamYk1KOJRO2rdvr7ZJ3KE1adJESgLbvpEpOnz4sHaTfM8NGzYAsEhU3A2zPVCRIkVU\naML3IUt14sQJSXLc7b777ruyv7AtGxk/Pz8/fV7cYXKXOHr0aElRfyblGBg8SzyL2ARYWssWL15c\nrbao4JGBmTNnjqxuZMOWLFkilY5sD1uIzZkzR2wz5z4lcS8vLylfjIfR0dHqm05GjEWcJUqUkGTM\neZeUlKTeyIx1bLe4ceNGsWiMm1Tq1q1bp/nN+ZqamqrCdMZIskZz586VfXD9+vUALKccs4CM469f\nv76eI9kxstqZpW2y4mwUcOrUKfV1Zkzl+/Xv31+9jPmzli1b6hosNKN9yNfXV6w8C9toAZg4caKK\n6Q0MnheeRXzav38//Pz8ZHOjNZiqU8uWLWWJoZI2ZswY9URnS1f2Om/btq3yi8ztHwGLU4DznIpd\n586dxfyy3SsVwRMnTmiukX0+c+aM5i1zOSqOoaGhUuiYV5DJptMBsLorwsLCpNDRKkJ7z6xZs3RP\nzNu2bNmi58I4RzVy586dsu3xNXRUXLlyRc+OsTY9PV0xhrki43xqaqoURKoOK1asULMP3i9z0ooV\nK0qlpWJK21CtWrXUyvzPzoH4S2Y9JSUFy5Yte4jGr1SpkqSL/fv3yzttYGBg8LxgYpOBgUFWhYlP\nBs8SNhk0zvwBfvzxR6xatUpmfcDif5w9ezbS0tJU+EBW6I/QqVMnlC5dWjs6MsA8gOf27dsIDw8H\nYG1JdPv2bfkqudthK6833nhDB5jw1D3uYvr06SNWix7rEiVKiBljazB6skeNGqV2i2Supk6dKg8W\nPeFksFu1aqXiALYw4nuHhISI6eJudMiQIWL4MxdOAJbCE/qoeD979+6VP41eLLZWy5cvn8bNIi0W\nr3bp0kXeNTLeXbt21Y6cBa/0qV24cEFFoTz4JDk5Wf5W7gRZjFK1alV5sPh//DyGDRumnSlbRBkY\n/J14VrEJsEjVu3bt0hxhgToPO7pz547YEvq6T58+Lb81WWSyPxkZGWjbti0AayERY0uXLl10OAfj\nVOnSpVXzQaaYY3B2dlaBF/2XL774ompLqFKyvevGjRv13lTkGJ9at26tdmSMwVOmTBHTTzWNc/j0\n6dNKKBifhg0bJiWU3lI+4759+4oZ79ChAwBrYVhERIRiNdeB2bNnK1aRYSdbHx8fr8J33selS5fE\n6lMZoFp55coVqYdUCMh6JSUlYf78+SrcNzD4u/Gs4tOwYcOwd+9etXPmXGYuERgYqAJ0Fld269bt\nEfacuUpgYKCaclCl5/p/8+ZNxTe+JjExUWoW2WR6sxMSEqR68f+qV68u9pt5C3OvAgUKqO0135Px\nLvOhmWx7Xbp0aXnzmRfyHiMjI6UmUqHIly+f4iivxZhz7do1+ev5LOgUAKxuBCpwXl5eOvWVtYAs\nMPX09FSORmWhYMGCiq2sW2R9QWRkpPI2fo4c36pVq/S6gIAA/BH+chVr3Lix5IrMoLRgYGBg8E/A\nxCYDA4OsChOfDJ4l/pJZf1bYtWsXPD09MXjwYADWKlzuoG7cuCGpiI3rhwwZItaZzDdZldjYWPmO\nyIZx5xIYGKgOMWSAK1asKFaYHVm4WyxbtqwO9GHHhqSkJO1I2a6I3sutW7dqx0WfOX3zX331lXyT\nZKY9PDzEGnFnyl1c7dq15ZcnS3X37l3tuuj5YiV07dq1H+mewDGkpqZqXLxHW1tbeUh/3/7yl19+\n0TXImqWkpMjjxufFlkM+Pj7y41M14Lh8fHzktSWjZmCQXdCuXTu0b98elSpVAmDtJMCuJy1atNB3\nncpcgQIFxMyQ2SJL/Msvvyh+cD4xHowcOVJs+xtvvAHAMnczH6wGWLtJOTk5qYsWW8x6enpK6aOn\nk77KLVu2qNsWGWnO+RMnTui96cd3d3dXxxbWBDHOli9fXqwS3+/ixYtiq9iRheyhh4eHPKlnzpwB\nYD3QLiQkRK8nGzV9+nS9Fxk6vg9Z8czjL1iwoLz8VBIY67Zv3y6LAWtwqNx+9tlnyJUrl1g8A4Ps\nAnd3d4waNUr5CrvmUUX38/NT9xHO++XLl8tXzvnUtWtXABamnvUuXOOpIK5YsULtmckAd+rUSa+j\nw4F++Hr16omBJwPerFkzzT86CpibtW3bVnGQXeao4g0cOFDjZ5e98+fP6z6o8DH2ODg4KNYwr0pI\nSFBc4LVYv+Pi4iI2ny12Mz9L1vVQcQwMDJTHnXGRHcGWLFmiQzaZy7m6uirecDxcT/bu3StFgKw7\nc+CRI0fq99g153F4bsn64MGDER0drSSaHxiLOF9//XXJQTT9b9myRR8ai7P4BX311VeVyPL3WCTx\nzjvv6APiF3XatGlKcinDcFMQGxsLX19fANYPysnJSfYXFopyrDdv3tQizQ+AyfWCBQu0IHDMcXFx\nuhYnHKWW+Ph4LZqUyXPnzq0iEhZ+URquVKmSJgA3Nywis7GxUfEsJ1d6ejqaNGkCwCrhECtXrpRk\nzaRh+vTpOl2RFiJuVl5//XUVnbA9Egu4wsLCJKUbG4xBdsPkyZNx4cIFLWLc5OfLlw+AxVbBYM7N\ndbt27WTTYDETbSozZ85Uok9bGYugbG1tJekyjgwfPlz2OS4oXChWr16tzQAXvRo1asimx8IsxsNu\n3bqJ5OAizJjatm1b2Wu4eT9//rw2FFxkWWTm7OwsywsLwTZv3qw+yixsY/zMmzevWqBxgWMcsbe3\n14LOFo59+/ZV3CahweLWCxcuaBEjIXHs2DElJow9JAcmTZqk+M2kgr9XoUIFzJ8/X+9rYJBdUK9e\nPbz66qsi1Jjk0t66efNm5Q60xJUtW1atARmvMltM2B6W5B6JiO7du6vPOGPf1atXFbu6desGwFrc\n7ezsLDsaCY4jR45oc81YwOYckZGRmq9MutlEo2LFiiIWGYczMjJEgDAJZ1/2UqVKibxgLHNxcRF5\nwXtjjjZ27Fg9QxbE07rj5+cn6xztxVWqVFHOxHyHZ9S4uLiIZOAZE0uXLlXcpN2GsblChQoqmmWO\nxmdToUIFrRW0Dz0OT9y60cDAwMDAwMDAwMDg+eK5Meu7d+9GTEyMdhXcvZBhrlGjhmRfWkpeeOEF\nMSFkmCmBDh8+XLYLtlIjM+Pu7i7rBpn8jz/+WEw05SAWhf3666/acfFn9+/fV3tF7uRYBJCZiafs\nSjtJq1attKMj8+Xr66v3ptTNnfCxY8fUJo72mQ0bNmgXTAmIbFvLli3FdFMW4r3evXtXBan0ysXG\nxmqnTCmd7Fbx4sW182MLOm9vb+0myYyxKCsgIEC7Vn5G/Hzc3Nx0/d8z+AYGWR0NGjTAgwcPNJeo\nolGWvHDhgmRPsiw9evQQS0R2hcpTUlKSZGTGGcaniIgIqV1UtMLCwhRnaO9jseTt27f1f2SZoqOj\nH7F80IqycOFCMcw8EIWMfIECBdCqVSsAVntKcHCw2GyqlCwKtbOzU6yjwnjixAkdosZ4zvhWvnx5\n/Z33Swatc+fOKmhv0KABAEv859+pJNAq07RpU526zAOgPD09xULR/siirH379ukZUMlk7Lt06RJs\nbW1V2G9gkF3g6+uLESNGqNkGW/8R48eP1/rNOJEzZ05Ze9nimnOpadOmYsgZy1jofurUKbHHXPdb\ntmwpNp9NJKgMenl5icGnOpeUlKSWinwdrXdubm76PzocaGOLjIxUHKLd9vr165rntCF//vnnACzz\nnw4KKmkZGRl6Bmyjy9zO0dFReREbAZAdX7t2rZQKtlEMCQnRoXdsqchYm5qaqhyOlhdnZ2epEXSE\ncOzvvPOOnBb8rFh8e/PmTSmIbOf4OBhm3cDAwMDAwMDAwCCL4rkx68OHD0dUVJQKi8ioszjB399f\nnif+rEiRImK3eQAQWaG4uDjtVMge8TXe3t66Fr1D1atX1y6HLdhYSJE7d27tMNnYv3v37trlLV26\nFID1oJQ9e/aIuZowYQIAoHnz5gAsnnLuuFi0FR0dLb8SmXUeVLRjxw6NkS3I7t69K48YffZkm1xd\nXdWaqH///gAg/+jq1avVwog+rSNHjug+eaAB/WQlSpRQwS998PSiAdbiOu5oFy9erJZw9GaR1fr1\n119131RIDAyyCzw9PTFu3DjNU7IrVJICAgLEAHOO5MqVSwoT5z/n8q+//qr5zz85N/v06aMiUqpQ\nDg4Oms/BwcEArOx2UlKSYhu96Js2bZLCxkIlMk558uRRS1WycGTlgoOD5V9nQWpcXJzUtt+3royM\njFTMJStdoUIF3RM9smwj5+Pjo9hDTybrk9LS0uSNJeu+fPly+Uf5J5mwjh07Sj2kylCoUCEdPEL2\njdds1qyZ1EzWzbCBwf79+7F7924pAQYG2QUdOnRAjx49pHpRNTp69CgAS4EjcwcWO+bPn1/KHgu3\n6Wa4cuWKYhmZ4oYNGwKw+NSZC1AlfO+99xTfMnviAUts+n2M2bNnjzzxjFcs5HRyclI9HeMPmf9T\np06pVoi1Jp07d9Y16JJga8mYmBi5ERi3ly5dqntinKPTIT09XfUzzKf4LO/du6f8jrEtKipKcZBO\nB6p/9MgD1kPphg4dqvhD9YD50s8//6z4z2vxTwcHB8V8jutxeKITTJ8FmjZtiuvXr0tqoLzMPp+2\ntrays1AOrlSpkhYp9iXmQtm7d2/JwCxwYN/hadOmKSnmFzVztxkWMfALcfPmTS0UlChefPFFjZEL\nKwtHAwIClPBzs8FF+rXXXtMYWQi1b98+LUD8sDNXRFNKp+w0d+5cycW0qVCytre31+LMDjmU2S9f\nvqzTQzmB4uLilJCz2wy7Ozg6Oqpojl+k2NhY3S+ffeaONLTG8Pc4KfPly6cv7Z9JOQYGWRH169dH\nsWLFtCAwSWQ8mD17tvrqUnL917/+pQWQki4T7rS0NM0V/slC8sDAQBVLMY6cPXtWVg8mx5SSjxw5\nglmzZgGwLko5c+bUospFnPGvUKFCWoS4cNEe16RJE8U/SsGTJk3S2GgjYdJeu3ZtbVhoEfL391en\nGybMXOjOnTsneZcFqSQcwsPDNR7GGy8vLyX3PC+C9zVp0iQVn7JRwPjx4zUOnstBS06RIkUUx/n5\nUb5fvHixyAQDg+yEjIwMrFmzRsk3Wz9yre/fv79iAOde27Zt9Xcmrcx3evToobnAM1fYOSU9PV3d\nrpg3xMfHqzMTCyA53/Ply6fiUZJ6N27c0PxjTkPiLzU1VbYZkojsmHL06FFdn5aajz76SAkz8yqO\n3dbWVsWztBP26NFDmwaeLs/72b17t+IDLUEsnu/WrZtIT+akW7Zs0TPkGJjv5c+fX4QqE/MLFy6o\naQkL+7lWjBo1SvdLYoNkRqdOnXS/fwZjgzEwMDAwMDAwMDDIonhuzHp6ejry5cun3RcLRSk5HDhw\nQOZ/Wkw8PT21+yAzzZ8tWrRIuzf2/CbD/sorr6iXJaXbu3fvagfIwgNe69ChQ5KjubOLjo4W+0PG\nOPNJVdylsrCMu7LIyEi1FCMzVrRoUbFH3OWSbQsMDJSSwGKHgIAAST3c3ZJhCgoKUkED7Tlkq0aN\nGiUWnAWvFStWlKLw+yLXjIwMMXWUqTZt2iR5htIXizj69esnmYfMPWXmX375RTtMA4Pshv379yMt\nLU32ORZTslWsi4uLCrbIvrdv314xhC1ZGa/mz58vtoRsNa1jAwcO1EmhL7zwAgAgNDRUMYjFrWSY\n165dq/6+jDeNGjUSK0RZmYySt7e3GCTGsMzFTGyVxsKunj17aj5ThmaRWatWrcTSk8GeMWOGFFLG\nIsbxsLAw9XYnW0e1oXv37mIAaTuMiorSPbHIja1jhw4dqtjDmNWzZ0/dE3+PDHvp0qVVCMbWb5TJ\nfXx89NkYGGQntG3bFgMHDlSBO9dqWlJ2796tOEU7W968eaX2kdGl4v3ZZ59J9eKaTYXwyJEjyieo\ntl25ckWWPKpsZOQLFCigWMZ5XqRIEbHZzGn4b569AFiVfhbNb9++XUw0VbarV69i+/btAKxxjk6C\n06dPS+1k/Fm7dq0scDzdlE6EI0eOKD4wbnXv3h2AxZbM2ESLckpKihRJxkzG3ODgYNkQeW92dnay\nGPNz4HOaMmWKnBAsQuU4f/vtNymZfwbDrBsYGBgYGBgYGBhkUTy3AtPg4GAkJCSoZRD94GwFVKtW\nLe1seLjO7NmztWNi4Sd3S2+++ab8nvyTu6Y1a9aIWacvs2jRomJz6P9k4ULHjh3FPHEM586dU7tI\n+qLIVn3xxRdSCHiSF5nsmjVryidJpszLy0uHmpQqVQoA1IC/fPny8qKxfU9UVJQ8rdxFskgi8y6M\nLD1Zp9GjR4sVZ7u0Tz/9VD8nc0Wf6eeffy4PFhm+CxcuaPdL9p8HDxQrVkw7a+4O+fU5cOCAii54\noJOBQXZB7dq10aJFCzHYZJdYM+Lr66viRLK15cqVkx+br+N82rdvn+YzC9VZVLlz504VeJElLl++\nvA4YIqPOVqiBgYH6P7LDmzZtkj+SDDPZssuXL6vQjNek8le4cGEVz7J2pVSpUlL+yBytW7cOgCXe\nkNHj/Pby8hIr9vvC1KNHj0rdY0H7qlWrAFiYNypzPIyta9euKjQjE8imArVr11bBFVvYhoaGaoyM\niawXateunZ4FC7ZYW1OtWjX07t1bjJ2BQXbBO++8g+joaOUc9IEzvtjZ2Ylt55wYM2aMXAKsiaNa\nlpaWpryCJ3mS3b5x44ZiBnOCzz77TP54FqKS7XZ0dFTc4cFwERERigdU7plf9erVSzGDuRYLWS9e\nvIjQ0FAA1pq+AQMGKM9hrQpdDZs3b9br2HJ72bJl8vRT2WQe16VLF+WDjKNUF93c3FSrx2tevXpV\nr2N9JOPkgAED9AwYh3v37q24+PtTpfPnz6+8kyoFHRuRkZFqVMI88XEwzLqBgYGBgYGBgYFBFsVz\n86y/8cYbGDlypDyeZEe4s+vZs6e83tzNODo6il3i7o3e9WLFiqnFI3cxrBa2sbFROy+2+SpVqpQY\nLu4qMx9sxN0af3bs2DH5wMgw82jwqVOnapfLw0147bt37+paHPv8+fPVBYb+SjLTCQkJuj53jh9/\n/LF2pmwNR4aoVKlSYvbY/YFsXkREhFo48fciIyPV4om+KzbsHzBggCqTyb4HBAToOfIQKLKMXl5e\nYuy4W2WXmjx58oiVNDDIbmjTpg2uXr0qrzoZEtbRnD17Vj5ozqfq1atLpeK8Y9eDFi1ayG9NdZDe\nzq+//lrxiSzWl19+qfoU1uDQ01ikyP+xd97hVVbdtp90kkBoAQTpoXcQBaQjigEpHwgoCIhIka4i\nRYqiCIlKBwWlfdKRIITeew89dD5KBCmhBgIhBLh/5PmNHcSD3ns4OeS5a/yDws7e7/tmr7nmHHOM\nubLIb8JUrL59+8p7A/sMK1O5cmXFKg5T4+fTpUun2ECXs3v37ta3b18z87BcxJurV6+KkYNhnzJl\ninTlTIOiO7hy5UqbNGmSmXkOTEOzf//+fflzGC158uRJMWyw7sS1ixcvKg5y0EnNmjXVjSB2wY7t\n3btXXUFiJOxj5syZdR0ODokJ5cqVsx49eqgjBvvMGm3WrJkOHUKx0KVLF/lK0FGD2NhYrXcmptCJ\nioyMlDYc1UOePHkUF1ijTKxKmTKlDg7i527cuKH35Rpg5vv37688hDWK17Bw4cLSkpMXJk2aVHGT\nuMho6CpVqmiSDP6Yt956S50HPpspfpcvX7aXXnrJzDyeJGJIzpw5FT+JnVevXtXUK+IPox9/+ukn\nMfDEoyJFiigXxU9Ax2Pbtm1SduAFIH7fv3//H02qSjAZTI8ePSxHjhz6pZH0Ic347LPPZG5CWrJ1\n61YbPny4mXlGj/GQe/bsqV8irR9+mZGRkWrrsFmdPHlSrVRGRDLu58svv1SCSqvi/fff18/yOqQp\nc+bMkfyDzyTZLVCggNoptIXSpEmjVg7tDjbMevXq6UtOe+TSpUtq4fBzbI4+Pj6SAiENog38+++/\nK3nAMJI9e3Y9V9phnTt3NrO4TZQvDAXDtGnTZG6lzUOyEf/EUworvsw7duxQwYIx1cEhsWDfvn12\n48YNnXiJTIP/r1SpkgIwhMPt27ft3//+t5l5jJlsaocPH9baRfrGyMQPP/xQcY/RssmTJ1ciS6uZ\nuPbo0SOZO0lkb9++rWtkBjlJ72+//aaZ68QRNrBcuXKpEEFakyRJEsUvXsc1XL58WZI6EuEffvhB\nbWc2ROR3ly5dUmzAmMo5GJ9++qk2OIqVkJAQJSGYdHkmPXv2lFmVay5SpIjuDXkere3du3dr/CXF\nE0nDnTt37KuvvtLm7uCQWPDZZ5/ZxYsXNT6RNcE+nidPHhFq9evX18+xhklkV69ebWZxpB2EKIks\npEGJEiVU4JJMf/TRR5Lw8f6s7d27d8ukys8dOHBAwz/+PF724MGDytuIIZj6U6VKpeKf2LZ27Vqd\n5YKUDzlyrly5VKgTVzJlyqSEmn8j3/v1119lCu3Xr5+ZeUZpBwYGKomGpDxz5oxyUWI5kr46deqI\nACEH3Lx5s94fCTQG26tXryqHRU4I+REaGipSCBL4r+BkMA4ODg4ODg4ODg7PKRJMBnPnzh3bsmWL\nKjlO4aQNMX78eLV9Ya3r1q2r4fLIU2hR7Nu3T6wRlRmjDF944QVVO5y01ahRI7H5tGwR+NeqVUsG\nUSrImzdvahQRrDtszdy5c2VqpaVDe2jYsGFPsPSjR48WQwdLTyt9zpw5YoZgzTJlyiQGCMMUVWua\nNGlkTsXIxUjJmzdvqkKjbbN48WJdN6w+EpyBAwfakSNHzMzEEBYtWlTsPGMvkQtduHBBVS6/P9jG\nSZMm6XMcs+6Q2LB582bLkSOHmGKYIA5FunXrlmIXrNKLL774xCE/8UcywqrA7mKcDw0N1euRjNSr\nV0/xCBYHSc0bb7yhcY7Ew7Zt20o2w0hJcObMGUk+iHWYNy9evKgxjbBklSpVkpSONi5sfbly5cQ+\ntWvXzsziYh1jyGDkMdpmypRJ1wp7jozm999/l4yHka+XLl2S6RNWCunLH3/8oT0B+WCqVKnU2aA7\nQbvez89PpjokAsTGKlWq2IkTJxyz7pDoMHfuXAsMDNRBPrDI4MUXX9RwDbrgjx49Un4As06ulSdP\nHv0dbDXrpl+/foo/jDDMmzev8hxyKGLHvXv3JBfmGgoXLqychq4ZkriMGTNKGYBcGIb9448/1nhJ\nOmTnzp1T1w7ZMznH7NmzFTPo5m3btk25DzkKHYIMGTIofyTHISfq2rWr4iKdwHfffVfxnGfBfQcH\nB0tOzF7h7++vMZE8Q9QY3bt3l9qDASQY8O/cuaP88WlwzLqDg4ODg4ODg4PDc4oEY9b79etnoaGh\nGoEDs0Q19uGHH0qDBYNVrFgxVSgYA6iyli9fLm04jBXapLRp02p8D8xVunTpxJqjwYTxunXrlhhm\n9JD37t2TqZWqCr12ixYtdMAJ7DP6sOXLl8s8y4iihw8fiiVDbwZLdf78eVWHHLZy5coVafupPrnm\nrVu3SiP25+PPt27dKsaf+6lSpYoOSwFUeN7e3tJkUR2aeToO3AfMWs6cOVV9cj0wbB07dpTuzcEh\nseHatWu2b98+rUViUPxj69GNwxLduHFDay++6ZSfR1PN38HIh4aGKmYRb4YMGSKWCyMrLNDt27dt\n8eLFZuYxkbZv316sfvyDRsC6devMzKPNhOmKf+Aa2syGDRvKtMYR2ujn+/fvrw4mms79+/eLDadz\nSQfi9OnTYo6IKcSfefPmifUitgQHB0tjilmfsZEnT57U69k38ubNK90o/gAMtpMnT9Z1Ydgizu7f\nv19MmINDYsLbb79tR48eVReLcYiYPA8cOKBuO3/3xx9/iDWGWUYr7ePjo84bOnh8c927dxc7j1LB\n29tbSgVyAfx1y5cvV6xANfDzzz/rGjG3on5Yt26d4iADKciNTp06pa4BuUSGDBnkZaGTSE7Xrl07\n+YGIIcWKFVPcpBvAmNwVK1ZopDeafXKdpk2b6vXkoe3bt9eza9q06WP3U65cOXU0YfUnTZqkfIhn\njSewQoUKT4x1xFh76NAhO3z4sP0dHLPu4ODg4ODg4ODg8JwiwZj1YcOGWcWKFTXhALcszG7x4sU1\nTQQN4ooVK8Ri5TFM5QAAIABJREFUUalwMEnx4sWlP0QzxfSWL774QrpGPuf777/XuCKYZaaolC1b\nVhURVdtHH32kcUhUTkxwmTRp0mOTYeJf808//aQKGJZq6dKlujemRjCiaNmyZdJlwhSlSZNGGn20\n5LBumTJlkhYeFh026eWXX5auCzf15MmTpVdlNCSV7e3bt8XwUfl6e3vr+FzuA/d1VFSUdFaMxOSQ\ngNSpU6s6d3BIbFiyZInFxMSIUWfKEdOnevfuLfc/a/fGjRu2fv16M/OsLZiq2bNn61ARGGliX61a\ntWz58uVm5tFmbtq0SUw03TR03Xfv3hUrTFwoVqyYWDTiGt24Ll26qGsI68yfw4cPVyziHkePHi1v\nDHpS9J7Dhw9Xh4AxZOHh4TrsAy8NOs8GDRpI50nsJm4uX75cMQtmvUOHDvLZoEXl38qVK6f35c8b\nN24opnNYHYiIiHhiCgPdzejoaIuIiHjqtAUHh+cRZ8+etXfeeUe+N7pxHMaze/durV/iRN++fRVb\n8OEQA1KmTKn3YgTzuHHjzCxuNDZeEEYNXr9+XX/HRDmY9qRJkz4xrrBnz56Kb0zEI0c7dOiQmHK6\n/ygFNm7cqAkufM7gwYPFQHNv+FEmT56szicjvWvUqCHGm64iOdprr72m+EPegtdmwoQJym3orqZJ\nk0YxmU4dvoE8efJIecGUnffee0+sPnGHjuOoUaO0l6Dj5xoWL14s1v1pSLBkvWDBglarVi21ETA/\nYBwKCAjQmB82h+3bt8tsRBuY+ZszZ86UeQqzAF/ekiVLqjVM22Pw4MEaA0lbmhP87t+/b3Xr1tV/\nm8V9gXhfAjwtmnz58qm9ipkKic3nn3+uf6PN89Zbb2nmOuALSEJs5jFQnDx5Ukk9hgZ+mStWrFCB\nw2aFVGj79u1Kukk6ChYsqFYMX2Lue926dbou2mLz5s1TocOz4Au7efNmtbdIGjBUxMTE2Msvv2wO\nDokRLVu2tIiICMnsCMoE35iYGMnUaBNnzZpV65KxXPx/WFiYklaCcvPmzfVzxCU22SpVqmhzhCRg\nA500aZICPUVBtWrVZEpCDti2bVszi0ugkbgQZyEmpkyZIsMnc+BbtmypWELMii/TW7BggZl5RlYe\nP35cp4wSn5ADzZs3T/9NIkBcP3r0qNrOxJtWrVpJQtSxY0cz8xAzs2bNUgsbY+quXbtUSNB2J0kI\nDg7Ws+b3yH7DJu3gkNhQsmRJy549u+Qm5EdIX65cuaK1jHykfPnyIgFJQlkT+/bt05AJYgjJaKpU\nqUQ4sJ+Hh4crD4OogBjIlCmTJHeQBlevXlVeg3SYwRQHDhxQEUHuhKQmbdq0StzJ3wICAiTnIb8j\nNvfu3Vsz3jk1/fbt20rcIRf4/6RJk4roJLfDWHv69GnFRXIzb29vzXQn5lAojBkzRgUPMTM0NFS5\nGAQF59D06NFDz5O8leeQL18+5VFPg5PBODg4ODg4ODg4ODynSLBDkRYsWGAbN25U+xSmnCpuzJgx\naknQ/jXzGKqodhhvuH79erHhVFqwVMmTJ1flhEHpwoULGl2EMQum+cCBA/o7JCWHDh0Sq0MFi/Fr\n1qxZarNyWBFMU+rUqdX64fVLly5VR4AWCyPY/P39Vb3BVo8cOVLXxmdzfcWLF1f1yd/Rourfv78Y\nq/iVLJIVngnVbu7cufX+AQEBZhYnn4H1o5PAa1577TXdJ+8JC1i3bl1Jdmg7OTgkFpQsWdKqVaum\ndU0sgs3Knz+/2CVY6saNG0s2Qmua737u3Ln1Ojp5yGBy5coltgcmvmfPnpLgEQ+Qq/j4+Ngnn3xi\nZh652ueffy4mnjWPCWrNmjUysv+5A1a0aFGZ+2kTjxgxQrGEcbXEAC8vL7FcjFi7cOGC7o0YieRv\nzpw5inGYT4k3Y8aMUSuea1ixYoXeH1kOjFPdunU1xpdOQb58+WRYRa5HF3HatGnaA3h/GMM6depY\n2bJlJftzcEgs+O677yx58uQyISIVYX19/PHHkvFivt61a5dyLbpyxLYqVaqIYabLDuubIkUKMfDk\nYYsWLVK3DPM3KoVhw4aJ6Udu4+PjIwPnmjVrzMwzjrtGjRr6NyR0yH8HDx4sxp8/Y2JiNAKWDh2s\nfWhoqKS3XF9QUJAOvySm0Q34/fff1d3kuogrv/32m+I0Q0PKli0r4z2xjw5kuXLlNHgEyeHo0aMl\n7SFfRUKcNm1aHYrHvXEfqVOn1nuRJ/4VHLPu4ODg4ODg4ODg8JwiwTTrL7zwgjVr1kwVHQwOusPg\n4GCZCqhOUqVKpTFgaIswJ6RPn17CfthtTJiZM2eWAYJRg7GxsWKBGPfDCLPo6GhVk+gmX3vtNb0/\nh/ygf8yePbvGjFHtMbqRatfMc5hSzpw5xVLDhmGEevnll3XdVG2FCxfWuDTMsJiwYmJipCGnQsUw\nmjRpUpkwMDGkTZtWR4hTTVIJ9ujRQ/dEtXf79m1VfDDqaLLMPHortHFUxenTp7eff/7ZHBwSI9q0\naWOXL1/WwV7EGcY17t69W2sdhuv48eNipP48mrVfv35ifYhhvPfFixelv0SL3aVLF3vjjTfMzGPK\nQvP94YcfKt40a9bMzMw++OADHVwEYHPOnz8vhp9YAds9dOhQMWawOMHBwbpGOgQcEhcSEiJNPOMT\n7927p3jG62G2rl27JoacuIOm/PLly+oocNBaSEiI9PHEZdjB6tWri2Vn39i0aZO6Hhj/+V0dPHhQ\nHT/GsMGqzZo1y6ZPn24bN240B4fEhJo1a1pQUJDWK/s9naXJkycrZrC2vby81L3n58h/xowZo0OR\nYJphdqOiojQCG0a+QoUK2u/pahELW7Zsqc4ZbPvAgQPFIqOEYMy0madjT4cAL9CAAQPUTUQt8ejR\nI/nk6GJyj99//73yO2JIqVKllD/yemLf9evXlVfx/qgNatasKaMsPp9s2bLpGaNFxzT/4Ycf6jrI\n24KDgxUr8Rzyu/rll1+kSsBsi0Lizp076jI8DQmWrG/evNlq1Kgh8xA3BTZu3KjAHH8qDCYJkmk2\nQF9fX21IvIYHuXLlSpm7eAhZs2bVF4aHzL+1adNGk2XYbKtVq/bEzHJkLalTp5bplGSXDcrX11ev\njz/rl0kS/GIpCsaNG6cpNnzZL1y4oC8TZjY2ytq1a2uhIDth5nnLli31ZUQitHDhQj1rWu4k1Tly\n5FDbmET+0qVLdvbsWTPzOJp5rpUqVdJkCwoZNsqZM2e60wEdEi3efPNNCwwM1Hefdi/f70OHDil5\npt1boUIFEQUYvFiTt27d0usweCEZ27Bhg/4Ng/fNmzdV6FMMIA8JDg6W7IQAHx4ermSYmEriv2jR\nIk3N4t+Q0dy5c0eykfjFAZsLmzeGrTfeeEOTrri30aNHa/1zQiibf40aNXQftL65x5UrVypWrVq1\nysweP6WaZ04RMmXKFJEUJA5VqlRRnKHNzbXUrVtXpA4bNGRC7dq1RTQ4OCQmJEmSRHu+mUneQoG8\nZ88exQrIwLCwMOUaDJgg4c6bN68MkySr5CxTp06VoZM4lDVrVsUrZMsUw4cPH1bRvHbtWjOLIwOJ\nleQ05G1//PGHpHDIVTB2FihQQKQnRXWKFCkkQWH6CubNunXrarAHJtUcOXJIbkhcIc/75JNPFBcg\nc4mTqVOnliQGIjUkJERkDNcPwTtmzJjHiACzuPyKQof57ORL1atXl6QG2SLG3ICAAOWy3Otf4R8l\n6zExMfbpp59a48aNrXjx4jZ27Fh7+PChpU+f3rp27aobd3BwcEhouPjk4ODwPMLFJodnhX9kMJ01\na5YdOHDAateubYcPH7YyZcpYxYoVbebMmebn5yeG5mm4evWq9e3bV4wy48CKFStmZnEM0L59+8zM\nM6LHz89P43dgeqgwr1y5ouqQ9gIMzvHjx1XZUDFmy5ZNBjH+ZFSimemzqVCLFi2q9i3zjJld3rVr\nV7WdMDIxfuzGjRtPfE7y5MlVkVId0l7x9/dXxYvZIyYmRgYvWkAw5rNnz1ZridYwIxYHDx6s13GC\na79+/fS+VIyw6evWrVOVR0U7ffp0jWNjbB338e9//1sdAhhFxsv16tVLxox/MobIweFZ4VnEp+HD\nh9uOHTu01mFoGb116NAhje2CbU+WLJk6YKx/Omwff/yxWCtiEez4pk2b1Jkj1rVp00asDNIVDPGN\nGjVSG5ZuV+vWrbXe6O5hjj958qSuB2aa9ZotWzaNeIQRK1y4sD4T1h15ore3twzsxMvg4GB1/JCk\nwF5lzpxZbBWSFBj/r776Si1g4lTFihU1V51nzXsuWLBA7BXdiUGDBul9aacTb7hnM09MxFQ3Y8YM\nK1++vItNDgmKZxGbBg4caI0bN9Y+zvhWpK4jR45UZ4yuU0REhNYDa5/XjB07Vp02TjZGuZA0adLH\nZGhmcSw3aw65HGdI/P7778oX6P5XrFhRsQmmH4lejx49FEfJnZBEHzt2TJ06pMF9+vSRzAZpDTlL\nyZIldc4FI2F9fHyUpzFqFpVFYGCgTmWlU8AAkl27dmmYCXlf8uTJ9V7kocTwRYsWKW7RVRw7dqzi\nJ90CFAu7du1Sp5HYxFCPbdu26bOJ+X+FvzWYnj9/3s6dO6cJBYcOHZKjvly5cmrFOjg4OCQ0XHxy\ncHB4HuFik8OzxN/KYH755Rdr27atKph79+6pdePr6ys26O9w8+ZN69Spkyot2F0qtX/9619id2DM\nq1WrJnMEDAlVWVRUlNh2mBhG/Bw8eFDMGFXYtGnTpJdkeD/vGRsbq1MDYZ327t0r4wNV0unTp80s\nbhEyqowOAUxRQECAqjaqvdKlS+sQAapbmPXQ0FB9JlXxkSNHZE6F1UZveePGDRlE6VLEN1+h+8T4\ntXnzZh3YQtCgi1C+fHl1HqhyCxUqJM0a7w+jtmXLFmlaqTg//vhjM4v7LnAgiYNDQuFZxaeNGzda\nnz59LDAw0Mw8B6ExujE2NlbsCjFl9erVikdoGRmt+PDhQx36gXGea/nhhx/0d7DvX3zxhVhfWCte\nU6BAATHrrE0/Pz+xMRxsEv/0zvgdSzOPfjw0NNRKlSplZp5xiwcPHpQxHU0nz+GHH36woUOHmpnH\n8Hr06FH5YDC8woSdPXtWY2e5H4xt8+fPV6cQtis2NlZMHh1D9Ol//PGHRp8Ri8eNGyfPDcZ32PoW\nLVrIc0CMY6Rdq1at1MF0cEgIPKvYdPToUbtw4YK00RggGQQxceJEMbisoREjRign4fP57H79+ilH\ngQ1nP58yZYqMmVu3bjWzOP/Nn0cqxs/byIHIj3777Tex2uR0rNnDhw/LtI+HkHxv3Lhx6tCRC+3f\nv1+5Ih0+Ytvdu3cVT9CUr1+//rHhHWYeVnz06NHKaciTwJkzZ+Rl5H58fX11/Yx15BDPmjVrKp8i\nVrZr1075LQoQ9orw8HDFXXTpeDMHDBig4QNPw1OZ9Q0bNljBggXV2nVwcHB4XuDik4ODw/MIF5sc\nnjWeyqzv2bPHLl++bHv27LGrV69aihQpLHXq1BYTE2MpU6a0a9euiZH9O6ROndoGDx4sbRSaKRjk\nkJAQsVnxJ5lQdQ0cONDMPGxv1qxZxZAzNg12p3///vpvKsa6devaZ599ZmYezRCO5mHDhtkHH3xg\nZh4Gau3atdJJsuCoksLCwnTYCLpPmC8fHx8xRVzXuHHjpKeHFadyjIqKUkcA5MmTR1UhE2hwdL/z\nzjvqGlAxci1r166V+5oK0MvLS3p0JjB07drVzOJYOjRiaMoKFSokVn7RokVm5nGAT5w4UU5udLvo\nyS5evGi7du0yB4eEwrOMT23btrVZs2aJKWcSVPxDzxgTBrPz6quvinlBl41mce/evYpVTHuiwzVo\n0CCNSqtdu7aZxTHeaBhDQkLMzMMcnzp1Snpu/iTGmJmYb1j93377TVNjYJPxmowZM0ajaGHX1q5d\nq3gBK85krpEjR8q7QswODw/XBC5YbeDj4yN2GzBWbebMmYp1jIY8ffq0rgfmiSla3bt3V9eArt2A\nAQMUt5cvX25mnvG2W7duFWPGxAie7++//67fn4PD/zSeZWyqWbOm9erVS94X9ONMF6lXr5605+Qo\nVapUUUeLbhys76VLl5RX0fFnDPSIESOUE5BX3Lt3T+uJfAqWOyIiQvkIMSY6Olpsc9myZc0sTo1g\nFsd8cx3kTPEPusR3Q+fu/v37Yqlh55mism7dOuWTqAvu3r0rTT9xhS7ea6+9pk4CenO8N1WrVlVH\nk8le5FxmnvyIGFW+fPkn2POFCxfqZ5iMQ8eyVKlSGr/LxEFUCl9//bX2g6fhH59gOnfuXMuSJYsd\nO3bMihQpYlWrVrXJkydb7ty5taE9Dd9++61ly5ZNv3R+YXz8unXr9Hd8CevUqaNfKOO8SF6nT5+u\njZXgzobZsGFD/dJpaYwbN06v44uJMWDHjh3aDGi5tGrVSv/Ne9Gy7tSpk1oYjAfiPQcOHKj2Dl+I\nJUuW6EvCAsIctWfPHrVyaMNcv35dY4QwO5Dct27dWlo3Ni0Kky5duuhLwjW/++67+iySbp7De++9\np0VBu/zUqVNqs/GZjG7LmzevvlQk5oyPGjFihN4Xw6+DQ0LhvxufZs+ebWXLlrVevXqZmee8BDaD\nbNmyaXNlczp06JBkFgRsZG6TJ0/W2iJBpcA18xQBrLuvv/5asY6WKzHJx8dHiTgG2DfeeEMyOzZO\nNsTWrVtr3CryHD4nOjpamz4xtW3bthqDSOucDT5v3rzaZLjvpEmTKt5hAGVEYqFChSTdY6Y6xjh/\nf389V2LM7t279d+Y9tnggoKCtDkiA8ySJYv2CU5s5d98fHw0v53PpJX/8OFDK1iwoCSHDg4Jhf9u\nbCpTpox9//33KpohERkiMXPmTBnVMYa3bt1aoxGJP4xijImJUa7BaEES4MyZMyshR+ri5+en0YgY\n1hmUkTlzZo1KpBgeNWqU8iLiEHnb2LFjFcMwjLL+a9eurTjHfYwfP16fSX5BPrJlyxbFN0YfPnr0\nSPIg7pc4uWXLFv0bch5i7eXLl5WLIn2cNWuWSFZIEoiHQYMGKemOL9MhqY+fw5rFxVGkeZAMFEXt\n2rXT8+e5/hX+r+esN23a1MaOHWurV682Pz8/MTgODg4O/9tw8cnBweF5hItNDv8d/GNm/b+LxYsX\nW2RkpMYJYSTAzBAUFKQT7GCaw8LCxJpQfcGYhIaGamQQ424Yu+jl5SXWBSlH8+bN1aahLY3B9MSJ\nE6roYJOTJEki+QjvW7p0aTOLG2FIe4fqiKpvyZIlej2MV2xsrFrVVKiwRydPnpQhgvuYOXOmqlWq\nXFoux48fFztPi5t2iq+vrypZugABAQFq28PUcThLVFSU2vZ0Ke7fv/8YE2bmMYAUKlRIbD7tM0xu\nWbJk0WczHsnBIbFg4cKFNmXKFLEqMMYYl7Zv3y7zJQdxtGvXTiPK/sy8FC5cWGsQdgZJRsGCBdXV\nYzwa72PmacPyXuHh4WL8kccNHjxYDBNsDp/XtWtXvT+n8tHivXTpkmQ2SGkqVaoksxsSFmJM3bp1\nNa6M+86bN69a5EjmQNu2bdVZIy7RkQgKChLThDG9atWquicMarB9n3zyiVg1uolTpkyR2RRWEgat\nRIkSGm1J94AYz8nPtMsdHBIL6tSpY+3bt5fsF1kuHfzAwEA7fvy4mXkOIZo4ceITpwwzZvm9995T\nbsKBYnQQ586dq/2bfb9r166SK8PS9+vXz8zi5H6oDMgbfv/9d8kIMZMil61Tp47yI9QGoHfv3pLV\nsbY3bdokeSCdQ3K6mjVrip2HKb9y5Yq6m5y2ynumS5dOEmAOeCN/qVGjhsbwYgDdtGmTcieeCTLm\n27dv69ApYuHDhw8Vy4i75HmrVq1SVxHpJJ3UKVOmqBNBZ/Cv8LejGx0cHBwcHBwcHBwc/neQYMz6\nli1bLDAwUBpE2HNYER8fH1VcGEALFiwo8wGaSoxJ4eHhMkNhKMAk2rFjRzH3mLRGjx4tTRUVDpqj\nvHnzirmhWl21apU0TGgkqVqbN28uEyzsNtXu+fPnxeZwDYcPH9aIRO4HPVjatGlVaaF/PX/+vD4L\nhgxjZ9OmTTWmCaYPBu7KlSsyOKB137BhgwwWmMYwo5w9e1Z/x73GxsZa1qxZzcxjsqMr4O3trcOa\nYP4ZC/Xqq6/q2XGtDg6JBcePH7c//vhDDDfffXSfJ0+e1HqDXcqfP7/WMXpuxsmmSpVKXUNeD3Oz\nfv16rW/iR7NmzcRCwf6yrkuXLi2vD8x/2bJlxcoT/2Bzdu3apfhKjItvZCVWYVDPkCGD2ChG5dJh\nXLt2ra6fA0SOHTumbgHxhjGQpUqVEluHXhwtetOmTRW/Yb5XrFiha0SDC4N48eJFsfI8y+7du6uD\nQGeBPWX//v0y9aO9p+Ph6+tr4eHhYtQcHBILhg8fbjdv3hRLSzefbvutW7fE/KLhfvTokdhwNO6M\nRC1atKjGWDPOETZ58eLFGuaB9+TWrVtaR8QHOnG5cuXSmua94nfnyasw24eEhMjUSf6GTjtHjhzq\n3uGn8fPz0whcWHE6BtmzZ5e3hnxn/fr1yqeIScSt4OBg5V88S2LnnTt3FNPwC546dUodVkbU8nw7\ndeqk7iMa9O3bt+veyJm4ltjYWJn4yWXpePj7++s+iLt/hf9rzfr/Kx4+fGiBgYH6xZAAY/jZsWOH\nNhQkFmFhYUr8EPGDAQMGqC3CpoMMw9vbWxsrm+fDhw81yxJzFA87V65c+lJhVNi6das2bNodbJ7R\n0dH6Nyas0C7v1q2bNgRkJCEhIWqVsLkxP7ho0aJqYdFCOXz4sIwQJPC0xocPH65/4wuBtOjkyZMy\nobCYvLy8tKhJPLj/nTt3ar48raI6depoo+OLSiL/0Ucf6RnTnuaLPWbMGCUSDg6JDS1atLAhQ4bI\nTIkchIRzzZo12qgwjp85c0Z/x0ZIElq4cGEluRi7iW8dO3bUe5CgDho0SAQAiSkbQ/r06bVxYlJd\nunSpZH1sRrSHT548qYSWzQ/ioHjx4ireiQdHjx5VGxmjE2crVK1aVeTDpEmTzCwuWUeygryG4iAk\nJEQbPxsu01rmzp2rVjzP9/z584ovGFL5M1euXIq9yGZmzZolUgajGvc/c+ZMSQlJXpj37OXlpcky\nDg6JCW+99ZbNmjVLZkgSZ/KFqVOnarITe3eqVKm0t2/cuNHMPDnKwYMHFWMo8BlMEV9Cx89PnTpV\nBQLvj5T4zTffVGxh6ISfn5/ku8QY5MwjRoyQPIXrItE+efKkJHrIhb29vXUiMnEUqUiqVKkkwUGe\nsnz5cuVMzEEn91q9erV8AgwjadWqlZnFxTSSe+JV48aNrXPnzmZmmnHPqbE3b97U74G8sl69evps\nDLJItefPn6/cjCEd/HxYWJju+2nJupPBODg4ODg4ODg4ODynSDAZzJdffmm7d+9W+4H55PGNDhgO\nOCnvl19+saJFi5qZh/mlzZkuXTqNS6OFwK14e3uLPabCK1OmjAxVyGyoNPft2yf2CLNnvXr1NPIH\neQfMUkBAgNpIvBdtcKo5M0/7u0KFCmoRwdTR3s2UKZPaIoxXq1Gjhp4B9w+DtXDhQlVyVJyYE1Kn\nTi25DRXk4sWLxXhjMKXaffDggRh7WvTVq1dX9UyLiDGQjJziGs08UpyMGTPKjMFzdXBILBgwYIDd\nu3dP6xdWGBZk3rx56mjBIoeGhorR4e8wP0ZERGjWMN0o2OvTp0/LTI8MZvTo0VqfrHVaqFmyZNHo\nMxixffv2iWXn/AiYms2bN2t9clIyPz9z5kzJVOJL34gRHIfO/VevXl3sFd3Q9OnTy2xPXJs+fbqZ\nmX344Ydisz/88EMz85i5Nm/erLiP4eyFF15QHP/zaau7du1S1xH2vHPnzpLx0aV84403zCxObsN1\nIdPDmOvr62vdu3fXYAAHh8SCDz744DEJGWw4J7d//PHHktXRXbt//75iE+uE11SuXFlxDmkJa+/7\n77/XWsboXaNGDXXxYdvJl5IlSyZWnzMOMmbMKIUCwFh+8+ZNdSGR45HrnD59WnITztzp1q2b4i55\nGPGxefPmMpQzKGPq1KmSDDI0hC7AjRs3lMvAYKPYWLp0qeR3MOzbt29XjEWpQEwOCAhQHGWP+Oab\nbxTziJnkVYcPH9bvg+tCBlS+fHl1Muls/hUcs+7g4ODg4ODg4ODwnCLBNOtnz5618ePHi5lFRwQr\nHhERoVGJVE7e3t5iiGCp4zPtaLWpftCRf/3116rsMESmSZNGxlKqGAwFkyZN0ul8mAW+//576cph\ncvj58+fPi82mgurRo4eZmfXs2VPVGhVq7ty5VR0yUpIq+aWXXhKDjcHWzKN3xwBKNZYhQwY9QzTl\njEq7fPmymCUYuy5dukgPtXjxYjPzjMG8ePGitOew+8uWLRODxjNs2LChmcVVn7DysOewhYMHDxbD\nhabUwSGxIE2aNHbixAn7c6ORtZI1a1Yx5MSI/v37a42gA4c5HjZsmPw5jDvl1M9kyZJJ50k3MWPG\njGLWOakPo9f169d18BmG1sjISGm2YWzQxD969Eijz2DEMHi9+uqr6m6+/fbbZha3ltHOY+aie7dt\n2zb9N4c8nT59WppwdJjxT//DIwOjjnm1UqVK+jdG3e7Zs0f6d54dcRY2y8zDaAUGBuq+6Z5iCv76\n66/VSeDZs6dcuXLFJk6cqLjt4JBY0Lt3bzt06JByB/IdTJyVKlUSG8ya2bJli9hvfDWw6Xny5JFO\nnLyEfCN//vzqdKFjL1WqlJh39njW7OzZs7WmYMz79OkjRQP+FdZjv379FFMZCYuXJDo6Wt4cBo/U\nq1dPunE6Cfh9Jk+erLyFwxkLFiwoppuxjLDvHTt2VC5E7Pvqq6/MLE7ZAZsPSx8VFSUPDKoKOqej\nRo3SPRJzpk6dqudPDoiSonbt2jqgky4Dz8bX11cHJj0Njll3cHBwcHBwcHBweE6RYMz6rVu3rH//\n/mLG0UrOtKeDAAAgAElEQVTjDP7pp59UybVo0cLM4sYcwiTBkDMqMCQkRNMT0I0z2P+bb76Rphyt\n5sSJE8XmwBSh4apZs6amJ3ANw4YNUwUIq83IoDZt2kjXDWCm7ty581g1ZRZXqaFRR0NJtXjkyBGN\n9EHzHRsbq6qQqQlomS5cuCBdKcw/Gq0dO3ZIU8Zr5syZIzYcNzXdipiYGI2BpLKLjo5WZc1zRQfX\noEEDMWNUqPweX3zxRelLHRwSG/bt22fZsmXT2qWjhd6zRIkSGhVIB+zhw4digv488aVUqVK2Z88e\nMzON82I99e3bVzpP9Kf58uVT7IGlhqXJnDmzrgtWPzIyUqNo6e5x2Fnbtm2lnSTuwJy99NJLYsjp\n6C1ZskTMFJO18Ah99tln6lii93706JE6osRv4mHKlCnVnSBuwuLFxMQ88Xfp06cXawcTD+u1bds2\ndfC416ZNm2paAxp92P1JkyZp/CVxDTbuzTfflD/KwSExISQkxMLDw7UOYdGZmtS7d2/r2bOnmXlY\n59y5c6tDhQ6cdTly5EjlB0xpYV1+8803Wid0AsePH68JLOQcXEvq1KkVt1jTZ8+e1X9zsBLvf+7c\nOSkCmNTH1KuRI0eqS0g30tfXV74Ycjk6C1WrVpVXiDxk27Zten+eCR27pUuXqtNGHsP/37lzRzkm\nfppDhw6JUUf3Tk54/PhxdSrohG7fvl1TBdH7MypyyJAhit10O4mZVatWVb76NCSYwXTEiBG2Z88e\nfdEIsMzIPXPmjJJIfin169dX4ogZgYe1atUqbXQ8ZMYIzpw5U39HYM+QIYN+Ccxepw3x1ltv6RRA\nHtrFixe1ufKl4houXbqkXxSGVEYbrVq1SuN6aGtfv35dp1VhLKMVfffuXZkQuJ8333xTi4EvHqat\n0qVL62cZXYmpdM+ePZq9zGsyZ86sQoSWPV+Sjz76SAUMzyZp0qRqcbFoSQJef/11bZoY0Givnz17\nVpt/gwYNzMEhMWH27Nk2e/ZstY5ZA8i8ChUqpGKdzSJPnjxKbolrzAx/4YUXJJshZtEa3b9/v1rG\njKa9cuWKPot1RxGfPHlykRS0ws+ePat57JjEiFPffvutEnjkKoyknDhxomIixEmuXLlECtDmZRMv\nU6aMNkI2rtdff10yRmIkicHq1atForDJEltWr16tcZMUE3ny5BGBAVnBc27durU2eza9yMhImfkZ\nFcdeMmbMGG2qvB7zbfHixe2XX37R0AAHh8SCJk2aWMGCBZVgsq6QgbVp00ZnGbC+kiRJohGMyMTI\nj65cuaKCHeM2CfetW7ck0yBviIyMlLkTiQk5x/79+7UeiYujR49WYYA8EKnL1atXtc65H3InPz8/\njVIkjqZIkUIjK8m/kNkWLlxYeU78kbvEVK6LhL506dL6THIU8ply5copH6QI+vnnn0Xs8nyIRzNn\nzlTMHzlypJnFyZ7Jh7gPriFt2rR6PuRcnGcze/ZsPXP+/Cs4GYyDg4ODg4ODg4PDc4oEk8GkSJHC\nUqVKJUMA7UpkLgcPHlSbFRPD2rVrxdxwGhes8IoVK8RAUf1QVXbo0EGSGA4tKliwoFhnWteMK0uV\nKpXeg2H8ERERMlZi6MSE+tVXX8l4gBECmUrXrl3F6sPS7dixQ8wTZgRaP2nTphVLD/N28uRJXTfM\nOmzYgwcPbP78+WbmYaComMuUKaNWPWz92bNnNe4SMwnPae/evTLpYip99OiR2EKePSza6dOnxewh\njYHVim+OdXBIbChVqpQFBQVp3CIGbdbFpEmTxELR4l26dKlYZ4yirPn4B6exFmk937t3T8wy8pYi\nRYpIzoZsBla8ZMmSMolhTJ04caIYKlrHjCNr0qSJrvvTTz81M4+85eLFi/o5pDHdunXT2DL+Dubt\nxRdfFKvPswkNDdU1EpcwW6VNm1ZME61zGPA0adIoxhPfqlWrJoYKto7YePfuXbFPxMY9e/aoA8H9\nYj7t06eProtOJAxfkiRJZMhzcEhMgElv3ry5mXlYZyRiK1as0NAM2PYSJUpIAoZUjbxhwYIF6maR\nXzCC+e7du8qdYLDr1KkjdprxjEhrDh48qFwOdn/AgAE6HA4JLjLh//znPzr0kmsgB7xz545Mp8TC\n5MmTK/9CEYEJftmyZRrFyHrPkCGDckxGdXOPV69eVZxibCLPply5clJVMFCkRYsWMs8S88lzypYt\nK3UBkuCgoCCNoeT3QT6WNWtW/R2dVj67U6dO2iOeBsesOzg4ODg4ODg4ODynSDBmvWjRota0aVNV\nFYwig0155ZVXVBHB2g4ZMkQjf9BfwfIOHjxYlSVabyqjYcOGiXWGIUqRIoWNGTPmsdehy4yOjhY7\nQ7WUM2dOVaKMN4yvPYXh4ufQMi1atEhGSxjzSpUqSe/Ztm1bM/OwQo8ePVLlzH37+fnp/flMdKBL\nlizRv8H00SHo2rWrtJpUwtWqVVOljDYM1jBnzpyqqOksTJw4UXpdugGYSsqXL69KkQqeijNt2rRi\nyBwcEhsYx8r6xD+DcbRHjx7SbdJ9K1CggNY6/xbfaAkDhG6TTuCVK1f0HoxwffXVV+X5oPNHB6xG\njRqKcWjd27dvLzM5x47DIKVNm1b/zbgwtJrp06eXeQuNZp8+fcTWxT8IxSyO+ce0xhHaFStWlK+I\nmAoD3qJFC8UGxu1iqLp9+7Y08cTnMmXKKKbDpvFsXn/9dcVQnl3fvn11rWhL6e79/PPP6hqgZa1c\nubKZxbGEdDMcHBITGjVqZPnz51enjq4+6+DGjRv6OxQIPXv21KAOYgEoXLiw2GpyIXKJBw8eiPGm\nE9isWTPFMPIEcqOyZcsqDyMPKV26tOIan41v5bPPPlOex5qGfY+NjVW8JW/r2LGjBQQEmJnHo0f3\nLGXKlGLbGbtYoEAB5VbkPeRCK1eulEYdjTueyfHjx8sES6fy+PHjGvuIbp749frrryvfIfaXLFlS\n94Q/EP38l19+qTyKZ0O3cNCgQf8oNjlm3cHBwcHBwcHBweE5RYIx67///rsdOXJEunGmo6BPHDZs\nmKopNOu+vr5y81Mxfvzxx2YWN5qLaodpJWisrly5IvcurM2KFSuk7UZniv7Kx8dHFSDa0Bw5ckij\nyaQYRgCdO3dOuiZ0mWPHjjWzuMoRDRNarOXLl4uBhhljZNC1a9c0phE26/z582KzmF7AqLeiRYuq\nmsRxHL9KhGWKfzQx3QnGysFqnTp1SlUqbNbx48fF6PFMYNj3798vbRUVJJ2FIUOGSKvq4JDYkCpV\nKvv111/1fSYOoHts2bKlzZo1y8w8E0ZSp04tHTTxiX+bMWOGdOKwzqyrhg0bKv7FHwHLOiU+vfPO\nO2YWp8NkshS61XPnzmmyFCMP+Wxvb28xRmjimUAQERGh0YjxR98Sj5j2QJw6c+aMdPiMlEyfPr1Y\nfdgu2LXDhw+LdadrSvwsXbq04hj+mQULFmhqDtcPEzZ16lTFRrqggYGBek4wh8Tg3LlzSweKh2Dq\n1Kl6vnPmzNG0BgeHxIILFy7YsGHDtL/C6M6bN8/M4vZiDveZPXu2mcUdEsRIVHTd8Q94Y1rU3Llz\nzczTpdq5c6dyGfKxgIAAHbbIeiQOLVq0SP8NA/7gwQNNW0GpQLwbPny4cgjGyhJfhg8fLsUF2u9R\no0YpR2QcK12AyMhI+QPx5pQsWdJ69+5tZp7chM/u2rWrDmjbuHGjmXlym927d6tDScyvV6+efIrE\nvnbt2plZnJeHDgGKhQ0bNmjcLrGV6VRHjhyRPxCfz7hx48wsrjuBP4kRun+FBBvdGBgYaH/88Yda\nAWwmmI+KFCmiUUEknLGxsfriIP3gdKm2bdvqQTKCjCR/8ODB+iJgesidO7faHGyafMmmTZsmQwSj\nIitXrqxfaJcuXczMM5e9VatWSnL5ojGn/MyZMyoKGIe2cuVKmSpo+XA6oY+PzxOntJYtW/a/HJ94\n7do1SVcwa5FUv/zyy2p7s3leuXLlCTMo15A1a1Yl9bSzr1+/ri8hbXm+7MuXL1erCwMb/3b69Gn9\nHAWVg0NiQXh4uN2/f1+BGjkF7cwsWbIozjBjPDg4WKcCE7CRu+XMmVNrGIkcMaJmzZqSzzCLvUOH\nDhpvxibLRrRhwwZtKpy63KlTJ0k84ifwZnEjEtmMOUWZTSMmJkbJLhtQ9+7dlcyzkVIIjBkzRvGF\ntnjZsmVl6OKZYJ5KliyZXkc8Jm527dpV5AMx+O2331YSgQSHODJy5Eh9Ngn5kiVLtFkjmyEmxT9f\ng3nHXBenur766qvm4JCYsG/fPhs6dKhyH7735CdBQUEyQpLIlypVSkRCv379zMwzu7xv376KMZB0\nSGpef/11mb8ZO9ipUyfNEoekJG/r27evJC6Qhg8ePNDgDWIMxUDx4sWfyDnI1d566y2RuRActWrV\nkumdtYsEZ+LEiZL/kCfVrFlTUhpGVkKkXLlyRf9N0U5cjIiIUHIPMVCkSBERNIyNJIcKCAhQrEQa\ndOHCBcVRztGBuJg8ebKeHeZccs1y5copTnN2xF/ByWAcHBwcHBwcHBwcnlMkGLPesGFDK1++vExK\nfCytAZgTMxNbFR4erlO0MEXCTh07dkwnVK1evdrMPCaqt956S5UgQ+ZTpEihdjGMFbKZ48ePy8DK\nCMZMmTKJGYLxpzI6ePDgE50BmLimTZtKesM1NGjQQNUgRgJYd29vbzHqmKIuXLigv+N9ad+cPn1a\nz4oqjxZQly5d1F6mZVawYEGxcbRYYKL8/f3VsUAaky9fPh2ygpSIijkqKkoSH0YgwXIdOXJErXHa\n9w4OiQWdOnWybt26id2G/eF7PmrUKDHYdNry5csn6QYGJ0487dOnj4yiMOysOz8/P60jDlBLnz69\nuoBIOHj9okWLxGDDqr388sta48RUmKSMGTMq1jVq1MjMPCbXoKAgdenix1Jassh/YJnSpUsnlgtZ\n4LRp0xTHMGPRPfj000/FVtGVoNN47do1xThGuRUqVEhxDOaQDkH+/PnFaHGv586dUxeDeMZ+0aZN\nGx0kBbPO+N0ffvjBmjdvLimgg0NiwY8//mjJkiVTbGKNIo3Lnj279mhkKo8ePVJXirXGz+/Zs0cS\nF0zwxK9kyZIpp0Ead/36dXXzMY9j/N68ebMUC5x6/OWXX2rd0qkkl8qaNavkcZjmiUMXLlyQDI9O\nYq5cuZSPkMegZihYsKBkbrDVq1evVjxkMAgxcMOGDRozSXwj5u7cuVPPExlNcHCwckwkd8j4OnXq\npJyMXDB58uTKv+icksd1795dOSDsO3Hu1q1bTzyTv4Jj1h0cHBwcHBwcHByeUyQYs75p0yYLDQ21\n9957z8w87BHVTLZs2cT4UAl2795dB/pgPIBVqVChgoxLMFgYs+rUqaPKEYbs4sWLqpJguqjiYmNj\n9R4gKChIuk/0mzBASZIkkfYeJh6GukuXLqqqYMauXLmi+2V0EPrMvXv3imXnwKF58+bJrIEmi4pu\n3759MnVx/fwKIyMjNd4JXXqnTp1U7WGo5dnkz59f+lAq54cPH4r141AkXlOzZk11QtDG8cwLFiyo\nsY4YxhwcEgumTp1qZcqU0XceJpeu1ahRo9Qxw2w1bNgweURgamBLjh49qnXN2iJ+JE2aVIdyECtm\nzZqltUT8wyw5cOBAMVSsxTNnzsgHQ+yBjcqXL5+ulffnvSpXriwmCM37mjVr7McffzQzj8YSLf17\n770nvSnru1mzZjKAoSeF7QoNDdXBbxipGN04fPhwMVuMVUuePLmuNUeOHGbm6bYmSZJETBNGuBQp\nUqgzyn336NHDzOLYO7xHmGj5vVSoUMFiYmLkD3JwSCxo0qSJHTp0SKZF2GBygkqVKj2hlW7cuLG6\n5eQhrNEMGTJoPWEERT9eo0YNjSJkjbZu3Vq+N3TvxIn33ntPHhj03bt371YXko4gwzY2b96s/AXj\nKDlgpUqVNIiDONqnTx/FK3InGPb+/fvb8uXLzcyjcc+YMaMM6ujm0eU3a9ZM70/8pRPasmVLKQN4\nJhs3btSISzyAxMzChQs/dnCcWVysoaOHEZUBAiNHjtTruB5iZ5UqVeQBojP4V0iwZH3Hjh02YcIE\nbRpsOrRuIyMj9YXjYeXIkUNtVly2POzRo0dLusKmxeZ448YNGZn4AjVr1kyOW1oabKJr166V3IZf\nyuXLl9VyZg46X6qXXnpJhQXtJ/4tVapUkuUwtSVjxowypSG94Re9YMECtV04mS/+vGcSZ04RbN26\ntQoWWtdMqZkxY4ZkKRg/Fy9erM2QdtNrr72m66KYwQTm5+en5J6gwDO5ceOGvowEAr5cffr0kWmF\ntpODQ2LB+vXr7c6dO1qXGCAxS6ZOnVrrjdccPXpUSSuxhCJ24cKFSvRpMZO8RkREaONlWkL+/PmV\nhGLsZtMcNWqUzEwko7t27dKGxs/Rmj5+/LgKeQgH1vmyZcvUHqZlHhMTI4MWr4dMyJo16xOxLjIy\nUtfD/SKzqVGjhibJxN9wzeLiM5srG3CpUqX0rONLEM3iTF0TJ040M4/ZrVatWjKw02pH/pg/f361\nnblfBhQ8ePDgsZOqHRwSC9atW2fh4eGSlSGZIHFMliyZTiul6H7w4IG++5Ca5FW1atVSMkmCSu5R\nr149TY/hNNEVK1aIEGTfZ/37+/vrejBMJk+eXPkQQzAgIvr27auJNRT1JLQ7d+5UUo907uOPP9bc\ndwpv4tC4ceP0mfz5xRdfSDaDhJhE/vbt2zKcE2ORV7/zzjsqdMgZlyxZovyLSTHca3h4uGRCPPvB\ngwcr5iEl4tofPHggEymmW/K4u3fv6nowt/4VnAzGwcHBwcHBwcHB4TlFgjHrTZo0sUqVKonVpX2M\nWdLPz08MFEzJ6NGjxaQzU5w29d69e1UlUY3Q9jh//rzanZidSpUqJXMEVQyVqb+/v6ocRiAFBARI\nNoKRiesqUKCAqkLug8ouICBArVvaHNmzZxcjDQNFdejr6ysm6tixY2Zm9tVXX6kNDxOEFCcyMlLV\nHqYNJDZnz57Ve8DidenSRUYIqmckMtu2bdMsaFr0xYoVUxVMFcl9X7x4URU1LTJGpZ07d07tNv50\ncEgsqFixot24cUPrGbYHadrEiRO1fhiZFhYWJtM5Zz7w/507d1anCeYFSVu9evU0riz+CZ0wy3QM\nYa27dOmiljGxIjIyUrEEkxjr9tq1a7p+1itGy/fff18dAkYm9ujRQx1P1joSkx9++OGxsxTM4mIw\n8Y84RYy8ffu2TlEmDiKpady4sdrndBqzZs2qWfAY4uhSlC5dWkZW2uqZM2dWpxNWEMPvsmXLNBKX\nriZxM3v27DZs2DCxjQ4OiQWHDh2y27dvq2sE842cpFmzZlILsLcnSZJE3SjmkyPpqFWrluIaezX5\nQpo0abReGf24dOlSdb/oFhLbfH19lUfFn92OXIacjI7gnDlzJN8hJrFGp0yZousgXwoICFBeSMxg\nFOUXX3whaQ//li9fPkmmGS5CPO3QoYPiIVIZugczZ87U9ZMflixZUnEd+R5G+kOHDulZY7C9fv26\nBg4gGYw/dx2pETks8TRHjhz6u6edAu+YdQcHBwcHBwcHB4fnFP/oBNNNmzZZSEiIJU2a1Jo1a2a5\ncuWysWPH2sOHDy19+vTWtWtXsR3/FSZMmGAnTpzQ+CBMQWg2/f39VaGgU1yzZo107DDXVEbdunUT\no4yxiibBuXPnNOSfQ0oiIyNVfcHuwPwkS5ZMui6YmTlz5qjy43pGjx5tZnEMFnpJGDJ04+jizTwG\nkFOnTqnKRa/FSLj9+/fb+++/b2YePX5gYKAMrNw3I4qKFi2qEWd8FoaLCRMmiInioIJ79+5ppBKn\nnKFFP3v2rPSu6Kny588v3RUjkKiw8+XLpwrwz2xblixZ9AwcHBIKzyI2mcV19oYOHSrmCMYb7ffK\nlSu1dllP1apVU8zB2A1bvWHDBjFUaCgxjYeFhengEVjko0ePqnvIOmUEat68edWlQ+udJk0axQGY\nI5iz2rVrS+/OISAYyl555RUZONFrnjt3TgfMwbDDZjVp0kQacnxGw4YN033CBMGuxT8llHhGrNi4\ncaN8QLxnmzZtdN3ELJi2BQsWqJvBgSgDBw60wYMHm5kpbuLJMfNoRGHQiY2XL19WN8DBIaHwLOJT\n+/btbfDgwVoX6MbpAu7evVt6dPbgXr16qVPFeoFxLlCggFhn1AbkZZ07d9ZaJrdJkSKFOlsfffSR\nmXkMmnfu3NH6hnXOnz+/FAp4B+kCtGnTRvEN8ymx6rvvvtOgDw6dvHjxohhsckGUFMuWLVMsI66s\nWbNG3QI6bsSHq1evqhMY/z3M4nTqxHdiTv369TUQhdhEvBs+fLgYeLoB48ePF+uPqZ7/z507t7qV\nxHD+f82aNWL6n8as/22yfuvWLZs3b54FBgZadHS0zZ0717Zv3261a9e2ihUr2syZM23dunWSZDg4\nODgkBFxscnBweF7h4pPDs8TfJusHDx60EiVKmJeXl3l5eVmHDh2sc+fOchOXK1fOQkJC/vYLd+bM\nGUuVKpV0V7DVTCaYPHmyKiEYkO3bt2tqAsewMr5n69at0kGhK+JwjMyZM6vaQ4P5448/ijXj37iW\nyMhIfeaFCxfMLG5EEawXEyHQaX/++edyKzO1Bf18sWLFxD5T2f7000/S6vNzMHHHjx/XJAYY//hT\nDQCV4IIFC+RypgtAxdm7d28dxMTBCYGBgdK9w65xgMDdu3dV3XI96dKl09QYrovKdMyYMdLfUqEy\njujdd9+1BLI/ODiY2bOLTWZxXTYvLy9NDqBrxzr08/OTDhpWuX379mKQYGDopo0fP15MGJpyJpQM\nGDBAjC+xKHPmzIpVxDPi26effqr4wnu9+OKLmrICG06n8IMPPtBkA94DT8r06dN1MBDMXKNGjdRF\nZBICnb3Lly+rc4kO87333hMr9OfOQsuWLcXS0RUkjsydO1eTpujkNW7cWAc4wfIxyWr37t161rBv\nAwYMUMyl24CetkePHvpMplThRYp/0JyDQ0LgWcWnBg0a2OLFi8W+8iedq0yZMmm8Kus3ffr0yhnQ\nUbdv397M4vwcxB3WJjnCsmXLxNwTh5o3b67OG4w667h8+fKKTRzwdvToUbHyxCQ6+GFhYep6EZvw\n1I0aNUrdSLr6EydOVM7HpDvG0fbt21fxh3wna9asUm0w7hZvy+rVq9X1Q5XAvyVPnlzPBH36yZMn\n9VyJh3Tzjhw5olhDXC9TpoxyRLqddDOSJEkinwD+I9j6evXqKZ4+DX+brF++fNnu3btnQUFBFhUV\nZU2aNLF79+6pdePr6ysR/dMQGRlpO3fu1MMlOWZDy5gxo+bsMqawWLFiMmXRTmGU4+XLl9WuYUwO\nbYnQ0FD98njY9evX12ZD8o0c5ODBg9qkKRj279+vv2O8JPc5YsQI/VLYKBlRtGXLFv0SMZulS5dO\nRgvGvrFZFS1aVEk0I8mSJEmiMZQsBJ7JW2+9petmIyNpb9eunb6oJP4ZM2bUdbMg2eQzZ86sxJz7\n2bFjh1pe3BujMbNly6aCh2KLhXPgwAGNe2M8pYPD/ySeVWwyiys2o6KiJPmKf2aDWVzM4PwA4kLp\n0qV1qieyOJLkQYMGybCEBI4RrV5eXpLGkITOmTNHGyKEAQn26dOnVRxT9NeoUUOGJTYc1unXX3+t\nGITEhJg3aNAgtXvZIK5evSpZDhsjm2zbtm0Vl5HdnDhxQpJFjPLBwcFmFte+Jj5t2rTJzDxxsF27\ndpLX8F779+8X+YDxlaKlV69e2siJn7/88ssTRRO/ozVr1mgEL/GMz86ePbtkSA4OCYFnFZ8KFSpk\nOXLkUIwhoSWX2rFjhwpdzKdvv/22pLbEEfb68PBwyS2QkbBWq1SporVGEdG/f//HTns38+Rvp06d\nUmLNiFc/Pz/dI+9F4vzhhx8qKWZ0LARHrVq1JGObMWOGmcVJj5EA/znv6d69u66HZDpXrlwa/0ic\ngHjp0qWLYiVSFGSOffv2Vf4CDh48KGkPxQejMatVq6b4SWwdMGCAEnGIXk5sDgoKUhzlebGfVKtW\nTbkW8fSv8I8067du3bLPPvvMIiIibNCgQY5BdXBweC7gYpODg8PzChefHJ4V/jZZT5cunRUqVMiS\nJUtmL7zwgnl5eVmyZMksJibGUqZMadeuXVPV8TSMGzfOOnXqJHaDKhHGeM2aNRoyD7sVEBCgVify\nDk7Lio6OFrsDCwSb7u3tLUYdo0L8cWNr1641M0/79NatW2rrYCJ9++23VaFxf1SHtWvX1usZlk/V\nVKtWLXUBGGeWMWNGjU+iAsZ4kCRJErXSYacyZcqk/8boxqFFO3bsEPME4w9LN3z4cD1DOha5cuVS\nZYnxgqq6Xbt2ulZay4sXL1YbmhFsdC5iYmL0fGD4MPw+fPhQrS4Hh4TAs4pNvFd4eLgYDkaTweJk\nzZpV48hgocqWLatOHGwR6/ratWsyUdJNwwR248YNMfIwVlWrVtXPwrgg5UiVKpViG0xQihQp1AZn\nPC2xZeDAgWo1s765j4ULFyrmcqJzkSJF9DoO7EAq98ILL2g8K0xb6dKl9Xxg4jkxtEOHDmrFYz6n\n7d+8eXO9npi0dOlSSek4uZX4PHbsWI3ghaF76aWXFBP/PFggNjZWLCJGOJ5J//79xeY7OCQEnlV8\nGj16tEVGRir3gYmG5S1RooRiC3lP/EERdNnoFv7666+SFyMtYR//7rvvJH+Bmb9586a6eMhIkK7l\nzp1bYyP5vPgHvGH8JF5kyZJFpneUEeRS0dHRMqIiRdmyZYskduQ0rPtr167p3lA2ZM6cWTF8/vz5\nj33Oli1blKchCcLUP378eH0OCo1NmzZpPC6se/Xq1c0sToaNrIXPGzt2rLqDPBNimq+vr1QinGDK\nnhEaGipD6tPwt6MbS5UqZWFhYfbw4UO7deuWRUdHW4kSJRRst2/fruO3HRwcHBIKLjY5ODg8r3Dx\nyYIY/FEAACAASURBVOFZ4h8dirRq1SqxHY0bNzZ/f38bO3as3b9/3/z8/KxTp06qEv4r7N271zJm\nzCjzAsYGDt7Zv3+/mCJYoYYNG8ogREWXJEkSM4urWKicON4eRipDhgxia6gm8+XLp9dxCAf6rn37\n9skIgMZxzpw5MoGh/0ZvuX37drE5sO1ouFevXi1tOK+ZPn26rh+GHHNFw4YN9dk8kxMnTkibj86M\n9+/fv78qP7oGjBqKjY1Vl4GxbAULFlQ3g/eCpWrdurV+H7BnPj4+VqJECTPzjCSaN2+emcUdkILG\njpFHmGlTp04tJhEThoPD/zSeRWwyi4tP3t7eYrxhhGB4pk2bpu4TDMymTZukl0aviQE7TZo0OrCD\nQ5TQcT548EDrhjW/f/9+jWrERIre/M6dO7oePtvHx0fsMfEGxuaTTz4Rk8VnY/7y8vLSdRA3Bg8e\nrOtBZw8b/sILL9jp06fNzGPy//bbb6179+5m5um+MRbX29tbzwwGjI7mkiVLpDuFcZoxY4bujWfJ\nGN179+7JPM9z2r59u+ITPxe/GwqjR2xHV1q/fn1r3bq19hsHh4TAs4hPx44ds/nz5yvXiD8Mwixu\nzbJeyQ1+++03sbsckEbX6fvvv5d2G/MpKoIKFSqIdYZZ79y5s8YtwkwTQ5o3b65OI/dRs2ZNFSTo\nzcnb+vXrp5yOjj0xJywsTLkD637p0qXqKtKFIBeKjo7WoY7EhNq1ayvn4zO59ooVK+qzyTH5vOrV\nq2tIAKqB3bt367P4kwEhHTp0UF5FXnnr1i3dN4NTMPF/9NFHug/UGPj/zpw5I9b9aYe2JdgJpr16\n9bIcOXLIEPBnyUR8cT9O2uTJkys5JPnGpFW7dm1JaZjVTnIdHh4u+czFixfNzFTVmnmMnLSCUqRI\noYfKLyxZsmRKZNk8SLBff/11mcBocSM/GTdunL4cmEO9vLwk7eHLhdl1+PDhSqJ5JunSpVPhgdkT\nyUuKFCk0ZYYvHmZULy8vfUExbY0fP15tJ9rlfOnffvttJQb83LFjx/S+tMJ5fUREhNrYGLiY6/71\n119rGg+OcQeHxIJ3333XXnzxRSXbJMLIQoYMGaJNhYBdpEgRFcVIx2jH9u7dWy1mNsL4c8cJ/gTs\nu3fvKtZxRkT8syVoTRPPkidPrvYuhjM24CZNmihBILwjg0mRIoVmlkNMdO/eXTGC+IwBfujQofpM\nNu9NmzYpUaD1jbQuTZo0ulY+k/uaOnWqigbiR1RUlAzytJBJRlKmTKmYRRycNWuWDL7EVFrnfn5+\nSs6ZCY/hd+jQoVakSBHFeQeHxIJVq1ZZaGioEkDyI/bbSpUqaZ0jkZkzZ47WJuuXQjlfvnzKUSDd\nkBRHRUWJZCBO7N6925YvX25mHnKV+Lhu3TrlX8Sfpk2byrCOyROZXFRUlCS+EAR0Fx48eKC4g1G8\nSJEiyusgMClIpk2bJrMmE66OHz8uuRvFACdDV6xY0apVq2Zmnqk5yOT27t2rGI68aNasWUrciVc8\npxMnTuh9KZTSp09vq1evNjOPQZb3fOWVV0RaQDLwb61bt1ZuidTyr+BOMHVwcHBwcHBwcHB4TpFg\nzPrRo0dt165dqriohDB5zp8/3ypWrGhmHtNpv379xErB6lCNBAUFSXaB4Yg2TP369TWejEozX758\nql4wq3La18aNG/XfSF4CAgLswIEDZuY5bRX2edq0aWJ/YN64vldeecUWLVpkZh6mPDQ0VFUu3QA+\nLygoSC1kWj+jR4+W8QwJCi2X4OBgmUhgATGc1qxZUyw71fQrr7yiEUkw5YwVWrFihdrRPK93331X\nLD6Mf/yTTKkKGfmEySJt2rQaczRixAhzcEhM+PHHH+348eMyUdK+RU4xdepUdcMYkbhs2TLFHOIA\nhqTKlStrdjmSFNjogwcPKl4QK15//XV1DelM8Xlnz55VjGMt16lTR6czY1BHmjJ69GhJBJHG0IL9\n6quvFC9guypVqqROHq1zYvCFCxfEmnM9mTNn1tkLdBKYGdy5c2cx5MRzuom3b9/WeEq6lnnz5pW5\nCqMZMTgiIkIsHKxax44dZbSjJQ+DFhkZqc4AxlQkPLdv37Y1a9ao3ezgkFgwe/ZsGzJkiE73xNxJ\nx+rq1atPnCyePn16xQr2agyaZ8+eVX6AnIV9fdGiRZKckasMGDBAMYNOPLnH/fv3JR0klhUpUkS5\nGV151vTIkSPFSJPvENt+/fVXsfrHjh0zs7gOJdfDfbCGHz16pDyMjtrw4cPFftOBIE7mz59fjDen\notKBa9eunZ4FHc0lS5bodagxyCdPnDihzgPPrlChQvosun8MDTh9+rTGOGLmJ7etU6eOpMnkpn8F\nx6w7ODg4ODg4ODg4PKf4R3PWnwXGjh1rn3zyibTUVIdULMmSJVNFQ0UUEhKiCg79J0zX0KFDZY7A\nUIAG08zDwMOmb9y4UawLhiz0UY0aNZIJAxPV5MmTZXiiCoX5OXr0qDTxsM9o6ufPn6/rpzKNPzKM\n90T/evnyZd0Tp4l+8MEHuhcqO96rZs2aukYMXIyPCw8P1wgm7v/w4cO6Vhg4nkmvXr10b+hLFy9e\nrIqcyo/XnDt3TowdZlsqwiNHjohld3BIbAgLC7OIiAitM1gsTNZ9+vSRThMW+scff9TrYHhgk7t0\n6SKmiYM+MITPmTNHXS7073PmzJF2G9YdFufmzZti6WHKo6OjpfWEUYeBmj9/vlg3DkBDL5k9e3ax\nSWjLg4ODZQqFtcKoXqlSJcVgDm9bv369mGuuHw3sypUrdT2w5zyTPXv2KC6hO42KipKWH+05yJo1\nq64f9q5Xr16KtTDy+AZ+/PFH/Xd8w5xZXBcEdt7BITHh3LlzVqpUKfk26NQRc86fPy+Wl73bzKM5\nDwkJMTPPeixWrJiYbrrg6M7LlCkj0yVd/WXLlun0X3TzHFZWv3596d7RmX/55ZfSeLNGYcxz584t\nJpoOJWOt7927J4Mm2u3ly5fr0CGMrKztypUrP9ZdMItj5MnTUBmQY164cEFxjQ4in92nTx+dvIzK\noFixYsp9OJSOTl+bNm3UZSDfq1ixooYE4MGE5R83bpx+f3RvYfI3bNjwj07Zdsy6g4ODg4ODg4OD\nw3OKBGPW/fz87NKlS0+M90MLtW3bNjGzMCwtWrTQ9ABYYbSSY8eOFaMM00y1ePToUU1igQFKly6d\nNE9UplQ/e/fuFcvOdIb69eur2kRnz/SBQoUKiRnn4CPY6unTp6ti+u2338wsTjdOVchxsmjMvvvu\nO1VtjPTJmTOnqjamr8Bg/fzzz9KQwlgxns3Pz0+TXKhG79y5I2Yd9hwNemxsrKpIKvKXXnpJ02bQ\nnuLGnjx5sqbe8HOwdDdv3tRz5bocHBIL3nnnHUuWLJn04qwVpkPdvHlTMQKG/cqVK3o9LDXroVWr\nVpqOwOQXJq7UqVNH41phXr7++mt5PpguQLy5fv264h7HZC9btkxrljgIm7VhwwZr3bq1mXnYN679\n0aNH8t7AVkdHR2uqFfGPeDZ06FB1+dCRVq9eXVMU6B7A/Jt5Jkbg2SEeLFu2TEwems6YmBixbnQ+\n6Q527txZLBp7Qs+ePcXcc48wh97e3mLReCZMozh37pxt2rRJXVUHh8SCZMmS2SeffKLxz6gM6FKd\nOHFCk6FYS3379lUXH48aTHZERIS6TOQhxII//vhD/hvW0PTp0+U1wWvHv/n7+8tfhzdlzJgxUgsQ\nJ2DAmzZtqvegEwgznTJlSsVRcomGDRuqk4m/Lv5kK96Lcdw//PDDY4e9mXlytPnz58sjybND9VC2\nbFlN18EfePbsWXU5uV/eKzg4WLkQiojg4GDFYPw9TMtr0KCBmP6FCxea2eMHY3Jg5dOQYMl6tWrV\nbMSIERLZ8wvil1m3bl0FcMZtTZgwQbIZvqi0JUqVKiX5C6f6kRBny5ZND5DWxo0bN9SGJlmlUDh6\n9Ohjp5maxbVV+AKQrPKL8Pb21heTGb+0y2vXrq33pWVdpUoVXQ8bERu5v7+/WuJ8uQ4cOKCEmbYT\nv0x/f3+1jSkmpk2bptdiDCOhL1CggEYRsRC45hYtWmjzx5jSsmVLFRskFxRK3bp1U0HEfGX8yadO\nndKicnBIbPD19bU2bdrY4MGDzcxzEiBrvn///hr7xQY3ffp0maSYwY4s5qeffhI5wEbHWK8DBw5I\nwsfrFy9ebKNGjTIzT0xkXefNm1cSFMzfAQEBMqySRENQxMbGKiFnU8Zc1rhxY8UDNuhdu3ZJcoMM\niJj0ySefaM3zmp07d2rdE8fZ4OITE5AE4Ny5c4rttKNPnjypGI80BvKhZ8+eGkEJaVOvXj21uSFp\n+B09fPhQvxuIDxL6u3fvas60g0NiQtmyZe2bb75RjkIxTIG8atUqJZHsywMHDtQIWNYOuUf79u1F\nxLG2iS9hYWEaVU2udfr0ac1eJzHHSJ83b14VD6zfe/fuKY6QJ1EofPHFFzo/gnyM3Gb37t0ym5IL\n5sqVS7GMeAru3r2rQoSkulOnTsrFGBBCzrl8+XI9AxJnrq9nz57KiyBcIiIiFGPJMZFLFy9eXPkd\nz6lWrVqKqRAv/K62bt0qYgZjP4NLypUrJ+LlaWSCk8E4ODg4ODg4ODg4PKdIMGb99OnT9sMPP6id\nCXtLKyBlypRqQ8AK37x5U2wwFRRMy/79+8XmwIAznmzBggX25ZdfmpmHUSpRooSqIsbrUI2+8847\ntmPHDjPzjBr69ddfxZDDtsMUDRs2TAwR0h2YpiNHjoghR/ISFBSk9jIVFMbUcuXKqVWLEa158+aq\nwvLkyfPYdaVMmVLsEeZOPqd69epP3EeXLl1U+SJBwuCxbNkyVbCwVR988IGMbjBpSH7efPNNta5o\nf2M+69atm6pnB4fEhpEjR1rKlCnFCMHC8j2fNGmSDRkyxMw8ErN//etfkqnBbtNWPXXqlGIPZnoO\nZStWrJjiAOtvx44dT8hBiG+rVq2SUZL3P3TokJgsTFKwS5s3bxbjD6sEk33hwgUxSJhOa9asKVki\nbBwSlvDwcCtcuLCZeVjqb7/9Vuw810VcuHbtmsbywvTzc40aNZLkD6lP0aJFxdIRx5DuDB8+XM8s\nPuPUqlUrM/OYvRjbNmLECI1zhNEiJnXt2vUJZs7BITHg5MmT9tprr6lbxCnoSEumT5+uE5SJIb17\n99Y6JIcgln311Vda03SxyHGio6MV3+js5c+fX/kK8REGfPfu3TKBx88NeB1xkffv27evYgC5HzK5\nb7/9VqMLMWMOGzZMsbhBgwZm5pGkFClSRF1/5M7Hjh1TLkbHjdxx//79TxzYRp40evRovZ7cLjY2\n1vr27WtmnsEmMOxFixYVc0+8+uWXX/RcyPfolu7YsUPPAGkfedWDBw+U7z0Njll3cHBwcHBwcHBw\neE6RYMx65syZbcGCBWJi0JJzINCcOXOkyYJ9r1KlithwdE4wQGvWrBGLzCEZVI4NGjQQ24JW/MGD\nB2Kk+Td+ftOmTdKQwiy1adNGVRfjh6i8unXrpqN7YbM4Fvvq1aticBid1KRJExnEGDsGizRhwgSN\nPOL9R40aJc0soxLr1q1rZnHMOgY3dKW85/Dhw61Ro0Zm9rjGnbFs6KlguooXLy7tGhVwhQoVZChD\n24+Gbf/+/armYekxsSxYsED36OCQ2JApUyYbOXKkGBe6SzDUpUqV0t+xxnLlyiWmhZ/Da9K/f3+Z\nxGG3Obp65cqVWpPElqioKK1j4hLjy/z9/cWYYU766KOP1OkjJuIZ2bZtm+JLfHOnWZxWkziDHnPV\nqlUaHca/8WdwcLDYf+7t+vXrYvjR3BNv/vOf/yhmwaDRDV26dKkYPe5x8+bNegZ4g2DRc+fOLXaP\nn5s4caKeNSZ3mLTixYurY8t7MtJtwYIFlkDn/zk4PFMEBwdbgQIFtL8yGIPO/6lTpzRYgnHOERER\nynfY41lDuXPn1p6OJw79da1atZQLkFetWLFCjDFDMxizHR0drTXK+r148aLiFVp4upLHjx/X4W/k\nV3Tw+/TpIw/Mnj179P7ov3kPcq2ffvpJcYicMWXKlNLt//rrr2bmMcWOGTNG/hi6DZj/69evr5yO\nuPv222+rQ/Dn0YozZszQ4U7EoQULFignI95iim3YsKEGBpC/MSZ33759ildPg2PWHRwcHBwcHBwc\nHJ5TJBiznjFjRlu/fr10llQsDOq/ffu2NJ6MDlq8eLGYdao2WPFMmTKJGaJ6QwfZv39/Mfhjxowx\nszinMi5hPoeq7PLly9IYMQFl5syZ0i7BuvP/Xl5eYvrR1+MgnjRpkkYHUcmWKlVKjmb+RGdfu3Zt\n6VfpAtSrV096KHT4aLniH88N+8UzSZUqlbRVc+bM0XPnACOqQyrZESNGaPIEOHPmjA4WWbJkiZl5\nGLu9e/eKqaMqZtpEwYIFVZk6OCQ27Ny50zp27Ghjx441M8/El88//9zM4iaZMEFgwYIFZhZ3GBGd\nJnSL6BJnzJghHSW+FjSar7zyinTjxLpLly5JFwoDDCOdJUsWvS+s8vLly61q1apm5hlPCFtWuXJl\nxTpYMtZ8jRo1NFGG1+zevVtxBq0o6zwoKEj+H9i77777TrEH1opRj1u2bBETTywiBh88eFCxKP7h\nLbDzTPwi7ly5ckX+IkZLdujQQfEJdh7v0ZIlS/TMYdqIo9u3b7fIyEhN+3FwSCw4evSoRUVFqWNP\nbGI6VcWKFTWaddasWWYW59Eg16Ijxv+/+uqrYsPxveGXa9WqlXTWjJft1KmTci2YaBjwVq1aKSYR\nf/LmzasRqujmyQ2aNGkiDTnrPb7/hckqIDY2Vmw+um7eu1atWvKoEGN69eql+MbPEcOLFy+uuHDh\nwgUzM025yZs3r+Ib15A8eXI9A/Ty5JrvvvuuxmXybIoXL649gi4puVlYWJjeH/8QLHzOnDkVT5+G\nBEvW/f39rVWrVjZjxgwz87Ru+dJ4eXlpQyExzZIli0wLyEL4Qmzbtk3tHVoytIWuXr2q2egYpf7z\nn/+oNYz0BrMBybuZZ76nt7e3NmIMYmyw9+7dU6uETQ2Dx6FDh54YNZQ2bVotCtpDnAB279493SMo\nU6aMWtznzp0zM8/C3Lx5s1q7PBNaRlFRUdqseM9Vq1Zps6WNxLMZMmSIFjkLIVeuXCqkWFScZObv\n76/Pom2GHCZHjhxqzzk4JDYEBgY+NsIVmQoyt86dO8vYhRm7WbNmMmgRzwjEAwcOVMFMIMas9Msv\nv4hMIHl88cUX1Tpls0R2kzRpUhkt2ZS2b9+u2EZM5VrGjBkj+Q7rm/tZtmyZ7pGi4OrVqzo5kA2E\nGBMSEqLXMQJu586dShh27dplZp7zIJo2bSpzJ+QDRce0adNUdDCf3s/PT5JI4hn7wL59+9RqZpO9\nffu2Zhdj0OL5VqxYUXPc2RhJVHx8fNQed3BITJg3b54lTZpU+Q2mSor0qVOnquhnbGqyZMlUGEMu\nIKGbP3++CnVGPbNWCxUqpKSemDNgwABJYpDsIiPZvHmz9n3kb61atVIcgfwkXvz0008aPQ1hSS50\n6dIlfQ6m886dOytese6Jo97e3ioCSKKvXr2qmAShSt7Wo0cPJfc8OxLt8ePHaywl5EGlSpVkboXY\nhXAZMGCACAqkR4GBgXo/nie5Vs6cOZVnEu+I34UKFVJRg/n0r+BkMA4ODg4ODg4ODg7PKZI8cq4b\nBwcHBwcHBwcHh+cSjll3cHBwcHBwcHBweE7hknUHBwcHBwcHBweH5xQuWXdwcHBwcHBwcHB4TuGS\ndQcHBwcHBwcHB4fnFC5Zd3BwcHBwcHBwcHhO4ZJ1BwcHBwcHBwcHh+cUCXIo0tSpU+3EiROWJEkS\ne//99zVE/v8Vffr0sevXr9uECRP+0eunT59uR44csYcPH1rDhg3N39/fxo4daw8fPrT06dNb165d\nLUWKFP+ta/qvcP78eXvzzTdt9uzZVqxYMYuJibFPP/3UGjdubMWLF7d//etfliFDBqtevfr/6HXE\nx6ZNmywkJMSSJk1qzZo1s1y5ciXY83BweJ7w/3Ns2rVrl33wwQe2ceNGy5AhwxOx6Y033rBChQrZ\nyy+/nKAxwcUnB4c4/G/Gp//N2GT2eHzy8fF5LDaNHTvWFi5caGXKlLEJEyb8fxGb/seT9cOHD9vF\nixftm2++sXPnztn3339vPj4+tmnTJrtx44b5+vrayy+/bB07dtSJTs8SYWFh9vv/Ye/Lo6uszvWf\nJCQ5mXMyQUImCBCmJAxhnlSGKKCAWOdWq/XWZVuXXba93qr99dbr1Q6307Le2lunXlqRSUVRmUcx\nJMwQxpBA5oRMnEwn0zm/P856nnNOAogUkdy1n7VcmDPsb3/7fPvZ7/u87353aSlefPFFNDU14Uc/\n+hEqKipQXl6Om2++GUOHDsXWrVsxb948tLe349e//jWWLVuG3//+9zrl6p/BwIEDdew2ALzyyito\nbm4G4Dp1y2q1Ytq0aRgwYID6cSVwOByYPXs26urqsGPHDp0gSKSnp8Pf31+nqUZHR2PChAm4++67\nsWrVKrz88suw2+1YsWIFcnNzMXfuXDz33HOoqanBoEGDsGTJkl7txcbGYtu2bejXz/ux2bdvH+6/\n/34sWbIEL7/88pceIwODrwN9hZvmzp2L//mf/8HKlStRW1uLxMREPPbYYzpR9GoxYcIEL276zW9+\no6PDV6xYAYvFggULFsDX1/dLcVNzczNmzJiBkJCQXnxRVlaG2bNni5t8fHwQFxeHqVOn4tFHH0VU\nVFQvftq+fTvWrFmD8PBwPP744159YXujRo3SCYqeWLt2LX784x/j+9//Pn7wgx/8M8NlYHBd8XXy\nU09u+slPfoKRI0eiuLgYx48fR3JyMkaMGIHbbrsNbW1t+NWvfoWNGzeipaUFiYmJePTRR7F48eJ/\nqg+e/PTOO++gra0NZ86cwbFjx5CTk4MdO3YgPDz8S3ETcPX8dO+9917Udpo5cyaefvpp+Pr6akx6\ntnct+OkrT4M5cuQIJkyYAACw2+3YtGkTuru78c477+DQoUNYvnw5wsPDcc899+Dw4cPX/PojR47E\nD3/4QwCuI6fLysrQ2dmJXbt2ISkpCTabDYcPH8b58+exdOlStLe346s6J6q8vBw7d+7UscEFBQU6\nzjY7O/tL3f+OHTvg4+ODkSNH6jjhnvjNb36DI0eOYP/+/Xj99dcxYMAAPPzwwwgICEBQUBCsViu+\n+93voqCgAG1tbfDx8cHQoUMv2R7gPs7YE++//z5iYmKuuO8GBjcC+go3/e1vf8Pf/vY3/P73v0d+\nfj6+853v4JlnntEx3dcC5eXl2LJlCywWCwAXN/HY7S/LTR988AFGjhwJPz8/HWfeE++88w6OHDmC\n/Px8KVOLFy/GmjVrkJGR4cVPW7duxejRo+Hn54fu7u6L9qWmpganTp3q9brhJoO+iq+Tn3pyU3t7\nOzZv3owxY8Zg165dGDlypIzPn//85zh+/DhWrFiBvXv34vHHH8czzzyDgwcPXpO+lJeXo6ysDDU1\nNThz5gwKCgqQnZ0NAEhOTv7S9361/HTvvffCarX2sp3KysowcuRIWCwWrFu37qLtXQt++sqNdXqA\nAPDv//7viIqKwpNPPomBAwfCx8cHiYmJ+Pd//3c8+OCDqK2tBeBSjf/6178iJycHmZmZyMnJwcqV\nK6/oemvWrEFOTg42bNiAnJwcjBs3Do899hiqq6uxZcsWJCcno6urC/369YPT6YTFYkFjYyMaGhrw\nxBNP4IUXXvjCa6xatQo5OTn6u6qqCunp6XjllVf02ltvvYVvfOMbKCsrQ3p6Oo4cOYLvfve7OH78\nOPLz8/Hkk0+ivb0dvr6+6O7uxttvv4233noL2dnZePXVV7+wD8uXL8f8+fOxcOHCLxwbf39/pKWl\n4emnn8acOXOwYcMGvPDCC/jZz36GI0eOoL29HatWrcL8+fMxb948HDt27KLt3HzzzXjvvfe8Xmtv\nb8enn36KWbNmfWGfDQxuJPQVbgKAH//4xxg1ahT69euHRYsWYcCAAcjPz+91jT/84Q945JFH9Pfe\nvXuRnp7u5YC/+OKLeOqpp7Bnzx6kp6ejvr4eDz74IEpLS7Fx40b8/Oc/R3t7O3x8fNDW1oY//vGP\nePPNNzF58mSsXr36C+9z+fLlWLhwIebPn48VK1Zc9rOBgYEYPnw4/uM//gO33347/vKXv8But+OX\nv/yl+Km0tBS333475s+fjy1btmhMPHExbqqursbhw4cxceLEL+yzgcGNhq+Tn2677TZMnjwZ3/zm\nN7FmzRqMHTsWXV1d+mxAQABaW1sBALNmzcKLL76IhIQE+Pn5YcGCBQgPD8eJEyd6XeNq+Okvf/kL\nDh06hJMnT+K9997D7t27vVJN1q9fj7Fjx37l/JSVlYVPPvkEL7/8spfttHLlSixcuBCzZ8/2ilR6\n4lrw03XbYFpfX4+8vDwMHTr0ou//6Ec/wi233AIAePfdd/H666/j17/+Nfbv34+nn34a/+///b+L\nLk4XQ01NDbZu3YpVq1Zh/fr1KC8vx3/+539iy5YtePnll9HW1obp06ejtLRU4ZNhw4Zh/vz5V9T+\n1KlTcfbsWdTV1QEAcnNzMWTIEOzdu1efyc/Px7Rp0/T3/v378e1vfxsTJkzAhAkT8Mc//lHvrVu3\nDpmZmbjjjjvwk5/8BH/4wx9QUlJyyetXVVVhx44dWLx4MRYsWIBz585h3759V9T3adOmoaOjA+PH\nj8cTTzyBV199FXa7Xe3Nnj0bzc3NF21v/vz52Lp1KxoaGvTapk2bkJ6ejvj4+Cu6voHBjYYbnZse\neughLFq0SG20tLSgoaEBAwYM6NX+1KlTcfDgQUXv9uzZgyFDhnj1ryc37d69G9///vcxcOBAzJ07\nFz//+c/1Hhe2RYsW4b777sMvfvELtLS0XPL+Dhw4gLNnz2L+/PlYvHgxdu7cicrKyisam0ceoOzW\nXwAAIABJREFUeQS1tbU4e/YsfvSjH+GJJ57ASy+9hLa2NrWXl5cnI8ETCxYswNq1a70Mig8++ACz\nZ89WhMDAoC/i6+SnoqIivPnmm3j00UcRFxeHkpISTJ8+HeXl5UhJSQHgsgvS0tIAAK2trXj77bfh\n4+ODGTNm9Gr/avgpLS0Ny5YtQ2RkJJYsWYLx48frvbVr12Lw4MHYs2fPV85Ps2bNQmNjI2677TbZ\nThcuXFB7OTk5qKqqumh714KfvnJj3Wq1orGxEaWlpQAAp9MJq9V62e+8++67uPvuu5GZmYl+/fph\n3rx5yM7OvmSIoSdaW1vx1FNPISwsDP3798fQoUNx4MAB/PSnP0VERATGjh2LXbt24be//S2ampq+\nsD89kZCQgNTUVBm0eXl5+MY3voGCggJ0dnbC6XRi7969mD59ur5z4sQJ7N27F0VFRSgrK8Pq1ath\nsVjgcDgwcuRIZGRkIDo6WnmoZ86cueT1V65ciZEjR2LIkCGwWq24+eabv9BDJGJjY2G1WlFeXo4B\nAwYgKCgIdXV1GDFiBIYMGYLu7m4kJydftL2kpCSMGTMGH330kV57//33e+W3Gxj0BfRFbnI6nfjZ\nz36GpKQkzJkzp1f7Y8aMgdPplKqVl5eH+++/X0KCzWbDyZMnvbjp8OHD2Lt3LxoaGlBYWChucjqd\nmDFjBpKTkxEdHY2FCxfCbrejvLz8suNzyy23ICIiAunp6RgxYsQVK3upqanw9fVFWFgY/Pz8MGDA\nAFRXVyMuLg5BQUFIT09HamrqRRfDSZMmwWKxYMeOHXrNcJNBX8bXzU+VlZUICQlBXFwcgoODERwc\njF/+8pfIy8vDD37wA0RHR3t995FHHsHYsWOxbNkyvPrqqxg4cGCv9q+Gnw4ePIhnn30WdrsdR44c\ngcViQUdHBwAgKysLw4YNQ0BAwFfOT2lpafD19fWync6fP4+bbroJERERsFqtiImJuWh714KfvnJj\nPSsrC7m5ufo7LCwMQUFBl/1OaWlpr13PKSkpemi/CIGBgejfvz8A18N39uxZDBw4EKGhoQCAjIwM\n9Sk3Nxdjxoy54vshpkyZ4mWsz5w5E6mpqSgoKMDJkyfR2dnp1e7999+Pl156CYMHD0ZiYiKWLl2K\njIwM2Gw2JCYmqh/MGeVGr57o7u7GypUrvX7kJUuW4NNPP4XNZvvCfmdlZcFut8PX1xdNTU1oa2tD\nTU0NMjMzNR633nrrJdtbunSpctXOnz+PAwcOXJONuAYG1xt9jZs6Ojrwwx/+EEePHsVrr73Wa6M3\n4Ep5y87Oxr59+9DR0YGjR49i8eLFaG5uxvnz55Gfn4/U1FSvSNjjjz+Ol156CVarFUOGDBE3tbe3\ne3ETFaBLcdOFCxfwySef9OKm1atXS0m7HBwOBwDXpiyHw4Hy8nJUVFRgypQpGpPBgwejqKioV3s+\nPj5YsmSJuOnw4cOw2+2YNGnSF17XwOBGxNfJT62trVi2bBkmTpwoNfiL7KY33ngD+/fvx3e+8x38\ny7/8y0Vz1q+Gn5577jm8+OKLsFgsyMjI8OqH3W5XP75qfsrIyIDT6ZTt1NTUhPPnz2tzb25uLm6+\n+eaLtnct+OkrrwaTnp6OwYMH4+9//zsAaMPE5UCv6Wrh5+en/9+9ezc6OjpQVlam8O73vvc9/PnP\nf8amTZsQExNzVfnWU6dOxWuvvYbKykq0tbVh8ODByM7ORn5+PiwWCyZNmnTRxdQTd999N5YtW4a8\nvDxYrdYr6sfWrVtRXV2NX/3qV/jNb34DwOVx2+12rF27Fg8++OBlv+90OtHa2opdu3ahsLAQWVlZ\n2LJlC959912p6f7+/pdsLycnBy+88AJOnjyJXbt2Yc6cOQgJCfnCfhsY3GjoS9zU3NyMxx57DD4+\nPnjnnXcQFRV1yWtMnToVe/fuxciRIzF48GCEhIRg/PjxyM/Px+HDh71CzJfC3Xffjddeew0bNmzA\n9OnTMWvWLFRVVV32O++//z7sdjueeuopVaFyOBxKs7v55psv+/2CggI4HA7MmDEDzz77LAoLC+Fw\nOPDpp596RfO6urou2t6dd96JW2+9FQ0NDVKt2A8Dg76Gr5Ofdu/ejaamJpw4cQIXLlzAz3/+8yuy\nm0JCQnDPPfdg27ZtWL58+UWF0H+Wn+6++2688soraGhoQEdHxxXbb/8sP1VWVsLpdOLDDz/E9u3b\nkZKSgh07duDVV1/Ff//3fwMA+vXrd8n2/ll+ui511h944AE88MADqKurwwcffIAHHnigVyefeeYZ\nJCcn44knnkBycnKvnbOnT5/GqFGjvvS158yZg927d+P06dNeuZjPP//8Vd0LMXnyZDz99NPYtm2b\ncqjGjx+PVatWISAgwCuM0xNDhgzBTTfdBMAV+h06dCiefPLJK7ruu+++i9mzZ+Nf//VfvV5/8803\nsWLFii801v/0pz8hJiYGr732GgICAvDYY499qfaCgoIwf/58fPzxx9i5c2ev7xkY9CX0BW7q6OjA\nd7/7XURHR+O3v/0tAgICLtvulClT8Prrr2P48OGqmjBu3Djs27cPBw4cuCzXZGVliZsiIyORk5OD\nRx999IruZ8WKFbj//vvx8MMPe73+8ssvY8WKFV+4GL7yyisYNWoUvvWtbwFw5Xl+mfYSEhKQnZ2N\nTz/9FJ9++inefffdK+q3gcGNiq+Ln+bMmYM5c+bgF7/4hRc/9eSm9vZ23H777Xj22We9jOaOjo5L\nipVXy08hISFIS0uD1WrF888/j61bt2L69OlfKIoS14qf/vSnPwG4/vx0XU8wffbZZ1FSUoLvfOc7\nKC4uhtPpRFlZGZ5//nls375dFVaWLl2KlStXKgd87dq1OHTo0D9dt/NaIjw8HOnp6Vi2bJk83nHj\nxuHAgQM4cODAJb3DwMBAlJWVwWazXVHoxRPl5eXYtWsXHnjgAaSkpHj9981vfhMnT57EoUOHLvrd\n6upq/Nd//RdWrVqFl156CQEBAVfd3tKlS/Hhhx/CZrOZSgsG/ydwI3PTW2+9hZaWlisy1AGXIudw\nOLBu3TpxU3Z2Nnbv3o2ioqJLztnAwECUlJTgwoULX7qPe/fuRWFhIR566KFeXHL//fdj+/btqK6u\nvuh3S0tL8dOf/hT79u3Diy+++E+1t3TpUvz1r39FWloakpKSvvR9GBjciLhR+SkwMBAjRozA7373\nO5w9exZdXV3YuHEjcnNzL7qnBjD8dLX8dF2N9cGDB2P16tWIjY3Ft771LWRlZeHBBx+Ew+HAqlWr\ntKP44Ycfxr333ounnnoKkyZNwttvv42//OUvyMjI+Mr69uqrryofCnDtsM7IyPAqM9QTU6dORWFh\noR64qKgoREdHw9/fH6mpqRf9ztKlS7Fv3z7Mnj3bq6rKlWDFihUYOHAgpk6d2uu9tLQ0ZGdne3lr\nvIfRo0fjjjvuwLlz57B8+XLt0v6y7RFjxoxBUFAQFi1aZMLMBv8ncCNz08qVK3Hq1CmMHz9eHJWR\nkYHnnnvuop/38fHBlClTUFRUpKjfiBEjUF1djYyMDAQHB1/0e/fccw/ef/99LFiw4Ev3cfny5Zg4\nceJFeY+Hvq1atUqv3XfffeKm++67Dw6HA2vWrMGIESOuqj1i7ty5aG5uNhtLDf5P4UbmpxdffBHj\nxo3Dvffei+zsbPzxj3/ECy+8oAhdTxh+ujp+8nF+VScAGRgYGBgYGBgYGBj8U7iuyrqBgYGBgYGB\ngYGBwZXDGOsGBgYGBgYGBgYGNyiuuhrMW2+9hdOnT8PHxwcPP/xwr9qeBgYGBl8XDD8ZGBjciDDc\nZHA1uCpl/dixY6iqqsKLL76Ixx9/HG+++ea17peBgYHBVcHwk4GBwY0Iw00GV4urMtaPHDmiCiiJ\niYloaWlBa2vrNe2YgYGBwdXA8JOBgcGNCMNNBleLqzLWGxsbER4err/Dw8PR2Nh4zTplYGBgcLUw\n/GRgYHAjwnCTwdXimpxgeiXVH1euXAmbzabTppinVVZWBgCIj4/XEdr+/v4AgFOnTun/6+vrAUD1\nQn18fHSoEIvk8+SuzMxM1NbWAoBqmSckJOhzNTU1AFy1SwHAbrfrmN2IiAgAQHBwsPq6e/duAFB9\n8m3btun/9+zZ49WvkJAQ7NixAwBUZ7Sjo0PeM/s4YMAAvdfZ2QkAmrRDhgzR53jC19mzZwEANpsN\nY8eOBeA+Gjg3NxcA4Ovri/79+6sfAHDu3DkMHToUAGC1WgFAxfpramoQGRkJAIiNjQXgOtacv0N5\nebnXeNntdhDjxo0DAJSUlABwnWSWmJgIwHVCmYHBjYIr4acnn3wSISEh6OrqAgDxBzni3Llz8PV1\naRt85hMTE3VIEedPXl4eAMBiscBisQCAPsP50dLSoj6RF2pqajTvOIf37dsHwMV1kyZNAuCaZ4CL\nn8gJzc3NANzcVVFRgeHDh3td+/z58wBcB3xwfpJTo6Ki9L7NZvNqq7CwUDwzefJkjafD4QAAHZpG\nrgwMDBQXbt26FQAwaNAgAC5+4viSSxwOh8aJY8ExDw4O1nhyvbDZbKiqqvIap5aWFgDA6NGj9d7A\ngQMBuI4I5/3U1tbi1VdfhYHBjYIr4aa1a9eitrYW586dA+CybwBgw4YNAID58+drrgUFBQFwzcO2\ntjYAEG9xnpWWliIrKwsANF84L+vr62Xb0K4YPny47LSUlBQAQF1dHQBg5syZ2L9/PwAX7wAuvkpO\nTgYAHfzD+b5//37ZJuQt2mhhYWG4/fbbAbjtpNjYWNkfnNO81/nz5+PAgQMAXHYU4LIFY2JiALh5\nhNz83nvviZs4lvw3JSVF3Ed+PHPmjOrAk0d37twJABg5ciS2b98OwM1v0dHRcsTI5SdOnADgOreG\ndiQPfeIaExsbixUrVgAA3njjDVwKV2WsW61WL2+woaFBhuCl0NXVhWHDhulH4w9FQ3LPnj0aXP4o\nQUFBMtb5UHPQqqqqEBYWBgAaIC4m7e3t+hwP7amqqsKYMWMAuB5kwL14btmyRYX4+WBERERg2LBh\nAFwPJOBauADXD8sHjMYuJ0ZeXp4M8cOHDwNw/VD8Lh8WTqozZ85oMvEHLiws1GL72WefAXAbx/Hx\n8RqTXbt2AYCOEi4uLtYDwLGJjY3VvfGB5gKWnp6O48ePe41ha2urnCDeh+dE5phxgvLBa21t1cQ3\nMPg6cTX8ZLfb0dbWJl6igUquCAwM7LUAdXV1iYwTEhIAQCHufv36obS0FABk2HIx8/X1FccdPXoU\ngOugMTrHdKbT09MBuBZGLiScr1FRUTLcCXJpdXW1FmYa3Wxz1qxZEi24AMfExIjP2Aa/HxUVpYWT\nvFBcXCyBgfdNY79///5qd+TIkQDc3FJaWioeJy8nJCSoj1wb6KSw7Z59JXfSaaLRfvLkSS3MR44c\n8RrDjo4OLeIGBl8Xroab1q5di6VLl2reci7zOPuOjg7xCdfn+vp6nDlzBgB06CHX5xkzZsg2oY1z\n7NgxAC7bi/OLTnB4eLj+n3YF2964caPmH+2v/Px88Rrb4vydPn26RAYeKESD28/PT30kTzQ0NMgY\nppFP/v3000/FV7yfpKQk2VF8jQcZdXd3y9mg85+fnw/A5ejTLiouLgbgsqt6CrXs87Zt28Q15Mfk\n5GTZcmvXrgXgdpTCwsK0HrD/7Iufnx/mzZuHL8JVGetZWVlYsWIF5s6di6KiIlitVv0ol0JsbCzq\n6uoQHR0NAGhqagLgXgBGjhwpst67dy8AF3nTA2T7XPCCg4NF1jSwubAOHjxYCx8foKqqKhmYNNo5\nkIGBgXog+JD4+vrqAeYDwR+4qqpKxM9FjYvPrFmzpBCxrcbGRhnYfDB5X9XV1fp/tjFkyBAtNlTW\nOVn69euniUC1jQ9XS0sLQkNDAbgnk4+Pjx6wgoICAN6OBY0S9tVisUgl4wLMz1y4cEGGO8eCDoDT\n6dRvamDwdeJq+CkhIQGNjY1a9AjySHt7uxYS8ozNZtMCwjnI7588eVKOPL/H+XrhwgXxGD/f1dWl\nhZDzj473hQsX5HBz0fjss8/0ed6bJ79RrGDkj0II2wNcjj/gWki54NIZ4DyPjY0Vd5Gf09LSpKiT\nB2mA1NbW6lpFRUUA3CKEj4+P7onX7tevnxwk8g3VrP3792u94DrR1NQkp4ncQ8chKSlJ/aIDwAUy\nKioKJ0+ehIHB14mr4SYfHx9s2rRJRidVbZ5aumbNGs05zt/AwEAsWrQIgFsQoGjwySefyBGmrUKD\n/vz58zKmyS+HDx/W3KctwL9vu+02CRZsy9fXV/OPc5sG6saNGyUC0rGgwPH555+Lh9i/devWiStp\nTM+dOxeAiztokE+bNg0AsHnzZtmFtKfY57CwML1HO4k2ns1mUxunT59W+55CqGdb7e3tEktoO505\nc6aXfcS2Tp06pdc+//xzAG7e3rBhgzj23nvvxaVwVcZ6eno6Bg8ejOeeew4+Pj549NFHr6YZAwMD\ng2sOw08GBgY3Igw3GVwtrjpn/YEHHvhSnw8NDcWpU6cUdqFSTI+CHgvgTr8ICgqSd0cVhR5bSUmJ\nFCh6P1SOi4qKMHr0aABuZSwsLEzhWHpqzNkMDQ2VR8ccyfT0dClo7CuV44CAAKlY9K7i4uIAuFQ0\nqvRU3W02m5QnerB8Lz4+XmEU3kdXV5eu2TOUExUVpbFiigxVp+TkZF2b4xUUFCSFi+PF8HR+fr7S\nbTiunuPC13i9hIQEqV/01ulVjh49Wv0wMPi68WX56fjx44iNjVW4lqoPQ9Tl5eXiD6rcISEhUpUY\nvaKSkpWVJVWJ4U7mO6alpYk3OJ/a29s13/gvVfddu3ZJDSeioqKU4kGViwp+c3Oz2qCCzdD5uXPn\nekUDnU6nVB7eG9NuIiMjvdJR2AZ5g/fBvhQVFem7VK+oNvn7+0tdIhedO3dO73OcyLNhYWG99tR4\ngm3xM3V1dco3ZS4qedBznAwMvk58WW5asGABDh48qPnKZ5ypFvPmzdM8ZLrt6dOnZUfRrmBe9J13\n3ineYfobOYFRd8CdclxfX6+5TJuDEb6mpibZWOTCe++9V+klVPyZTrJ48WLlevOatCEWL16Mt99+\nGwCUu96/f3+l2q5ZswYA8P777wNwqfWzZs0C4E6Js1gsijhQsWduf2Jiomw/3tuSJUsAuPiCNhrt\nvubmZvEHbTTyXHR0tCKA69atA+Cyk5jJcfDgQQDArbfequuRn2+77TYArigAcOW2kznB1MDAwMDA\nwMDAwOAGxTWpBnMlqK6uxtixY5WLTZWDyk9MTEyvSimVlZVSiOjt0AOJiopSLiSVGOaPWiwW5S5S\nmbdarcqpYv6Up7rDvEd6kJ5quKcCD7gUHOax91R8PDdRsc3hw4dL8abyxrbi4uKUg8YoQ1NTk+6F\nij89Rz8/P+WJclc4vTiLxSKvlW3NnDlTuWocVyqEISEhGlf24eDBg/IO6YUy77N///5SGufMmQPA\nrdgVFRUpJ9fAoK/Bz88Pvr6+UtSp9lLRjo6O1t4Yqli1tbVSgz0jWYBLsWIbjJJxk3hRUZG4h7xQ\nWFgopYYcSf4YMmSIFDBGDzs7O8VLnLtEQ0OD+sr2GR0bMGCAOJQcUVxcrD7y8+TK8+fPawzIO/7+\n/uo/OYJ8mJ6eLmWdOeLkmwsXLvSqLOV0OhVt5H4ecqPD4dDn2Yf6+npdmzzOjfaAey8Q74McXldX\np/cMDPoSPvzwQ8ybN0/zlnnWCxcuBOCyDcg1VG9jYmK0P4SRMXLA6tWrleHACBnnY0tLSy9FOjk5\nWXOayjLn/blz58QL3CTp2caqVasAwKswRU97jTncgPfcB1zcsXz5cgCu6i+AK+ceAHJycsTF5IdF\nixaJMxgFYN8tFov4gGPJv1NSUhQJZbU9Hx8fcSwjjoziWa1WfZ6RjtOnT+Pjjz8GAMyePRuAW5Gv\nqalRZIRRP/5+ZWVleu9yMMq6gYGBgYGBgYGBwQ2K66ast7S04MiRI/LkqOgy9zkkJKRXDqLT6VRu\nFZVlzyok9L6oyFDlioyM9NoBDLi8JP4/PU56YFOmTJFixVz34uJir3q/ALxKLFJh5g5lemjZ2dny\nbj29OHqi7D+9Mrvd3qvOcGtrqzxGKveMIhw7dkx5afSOPVVu5pIx98zpdGo8WRLNM6eeihrvY968\nefp/KvHsS1paWq/cWfZ90KBBylPjb2xg0FcwatQonDx5UpzC55pVAKKiojSnPNUoqt9Ut5m7HhQU\npHrABKuYJCQkSF3yrCpFdcuz/Brg4jC2T07x8fHRa+QG9i8oKEhKW888+G3btilfk/+OGDFCfMQI\ngWe9YHI08/kjIyOlBJFLqPZ5tkXeZD+jo6PVPqN1Q4cO1Vhz7Pn9mJgYXYec5HA4xL0cH3J2Q0OD\neJx7iKi+NzY2ijcNDPoSHnroIbS3t6uy0/Tp0wEA7777LgDgvvvu86qSB7hsIc55fo5zYt68efj0\n008BuKNrtJ2qqqq89nkALt5iW5yj5ISWlhbxFVX0wMBARed5Tf7917/+VXnctOk4f/v37y8O5L8h\nISHiGKrUzFzYt2+f9vIRJSUlep859IyonT17VtWlyDmsnmOxWGR/8XsTJkyQDci8fEZOL1y4IBuW\nNl1lZaUiD4z+UcFvaGhQ5IF2J8fQcy/g5XDdjPXw8HBkZmYqnMsQKRe7xMREGaYs3Th8+HCFMLhp\ngIvb9u3btXiwDjo3h7a2tiosy8Hy8/PTQsofiD+00+nU59mmZzklLqxcOJqbm+UM8AfmA9vZ2anr\ncDFsbW3V4snF37MtHp5EY9fX17eXY8H7TklJUX8YMqJz0NLSooeKn29padFifsstt+g1ggsYN3Gc\nPXtWE59heS6KxcXFWvx4YAIf1JqaGv1WBgZ9Dbm5uQgICNDzzXnKxammpkakz9eGDh0q45A8QIO5\ntbVVc5hOL/mgpKRErxFMdwPcaTBMmykoKBCPMWUkLy9PjjMXWhryDQ0NSi+kocy0QIvFogWIHLZ7\n925xCXmAi0dNTY3C1eSN+Ph4cZDnoXaAiyu5qJI/ODYVFRVqgzWiCwoKVCqO98ExjI+PF/d4boDl\ngstwMhf2+vp6bZ5nmzQ8PA/RMzDoSzh9+jSGDh0qO4epFizz19jYqFQXzp2hQ4fKFuAmyvXr1+vz\nnN90yjl/x44d65VqB7jEUG5S5dwmF9JuAtwpehQRAbdtRv6ZMGGCnA72i/eTlZWlwh3kDH9/f/Eg\n033JVfX19b0KXZw9e1YbOHNycgC4S8gOGzZM903nn47Drl27vAoHAC6Rsud5GzzwcsKECfp/OjJ1\ndXVyfnoWHjh16pTsTt4P0/cqKirEc5eDSYMxMDAwMDAwMDAwuEFx3ZR1wCX7U5HhYT/0QBobG+XR\nUPEOCwvrFeagIh0TEyMll4o0lZx9+/ZJnaJS5hkaphJDdT81NVVqsucpd1T6uYmSSpafn588Uipk\nnm0xBMIweHx8vPpBj459yMrK0pjQk508ebK8wZ7/snA/4N6YQTWsu7tbHjLb9/X1VfoOFXiGoEeN\nGiVPkNcOCwtTyTi+R0UqMjJSnimv6Zmuw5CXgUFfw/Dhw9HZ2SlFncoOOWXv3r3iGyowJ06c8Nq8\nBLhTUnx9ffU5zlOmwXim0VFdSUlJkerc80jvpKQkKS+ck4MGDZKqTV4iF0VHR0vFIV8y8hcVFaU2\nPDees2+8JlPnAgICvE4H5H0z3Mtrex41Tm73VNPYL6YskvdTUlKkPnEsyJ+xsbG9eNPzYD1yHfnJ\n4XBICeP9UHmLiYnxUgENDPoKQkND8b//+7+90tdY5jAnJ0eKN22J06dPS2VnFJzlEM+ePauUDM6d\nbdu2AXDZI7RlqFD7+vpqzjHdzTN9mXYF7beysjKlrjDVhfZSR0eHIvzLli0D4LZpGhoapNiz1OMt\nt9yCDz74AIA7/ZB9iIyMlB2ycuVK9YGfJx+S5yIiIsSDtI9os0RGRkohZ8QuKytL5RXJc7yP9evX\nK7WHdmVycrLGmu3y/pcsWaKSk7QrGfVbuHCh7NXLwSjrBgYGBgYGBgYGBjcorpuynpCQgLa2NuUS\nMgeInqCvr69ykehlBAUFSSmh8ss8rMmTJ+u79PLoSQ4ePLjX0dJdXV3ySKn80OM6d+6ccuKZI+50\nOqWaUZ3i32FhYeoP+8B/Gxoa5H0xZ9WznBnbYg5YTU2N1CP2v7q6Wgof87+4KQFwK+TcTMoNWd3d\n3VKsGJE4dOiQl/IOuL3K3NxclVtkvtmgQYOkCFIto+f7+eefKyeUn+e9tre3e+XCGxj0JdTU1KCj\nowNjxowB4I4YUSmZOHGiFGbyVENDQy+FmbxQVVWl+U8FhhHASZMmiYuoYJ89e1YHfJD/GOHq6urS\n3hJ+r6qqSuo8VXTufdm2bZtUIk81HHBFDMipnN++vr7iGao9noesUO0if1it1l4bOcl/M2fOVBSA\nbVIJi4mJEd8w2rdhwwYp77wfRjWsVqv6Tb709/eXikiuJoKDg5XbzntjxCMyMtIcimTQJxEWFgaH\nw4F77rkHAPD6668DcCu0O3fu1CZN5rEXFRVpHaciTZ5oaGhQhIvzhfPkzJkzyn+nDTVo0KBe9g65\nateuXSqpSJsuKipKc+3MmTO6JuCyoZjHznlPzjl27Ji48s477wQAvPPOO3jwwQcBuG0OfqaoqEi5\n6nfddRcA4KOPPkJGRgYA954c7qsrKiqS+s+8cZannDp1KjZu3Og1rna7XVE/7gci/06bNk33RHus\ntbVV0QvaZNx/GRISolKNLD3JvjscDvHV5eDj5De+Yrz11lsA3IYyNxIwLOFwOHqdUnrs2DEtGiR3\nhqW7u7v1Go1uz9MD+T0uHK2trXoI+WB6LgTsDxdfpr4A7lAG+x4cHKwfjz8UQy4DBgzQokzD1maz\nKVTCBY+ft9lsSkuhgV1SUqJwOt9jyPfUqVN6CGlYMEWmrq5OhjknYV1dnVJXaBjQ4cn6pKt3AAAg\nAElEQVTIyOhVS76yslK7zTlOdBTKy8u1OY3tM2Sdn5+vB/m+++6DgUFfwq9+9Ss0NzfLOKehSS6y\n2+1epycDrg2XfP45VzxP7eT/c/5xoXM4HErToBM/bNgwOeucn/w7MjJS841iR//+/cUDNOqZbtPd\n3a1FhosG+zBmzBjxHhfxgwcP6swGcjAXaqfT6bW5nW3y3sgNXMzj4uLkWHBhZAi9srJSPEMBoKCg\nwGtcAPeiP378+F6buLKyssTNbIvfT01N1QJI4YDjFRcXh6qqKoW1DQz6Cn75y18iMTFRqWB05un4\nHjlyRGkntBuCgoLk9JKbaBM1NDSIO8gFtBvsdnuv93x9fWWvMIWOhrOfn5+ETs8qeHTwyZWe6Xu8\nD/IP5+qFCxfENeSAhIQEzXPaTrx2UFCQ+Ir2VVhYmGwapgnefffdAFz8wnQf8gkN+R07dsjg5zid\nOXNGggvHlaks6enpss3uuOMOAC7R13NzKu8XAP7+97+rrZ7pjhEREbJdf/vb3+JSMGkwBgYGBgYG\nBgYGBjcorlsaTGtrK6xWqzYOeG44ANwKEACpt5GRkVLP6YVx02Z4eLgUpZ7hjsbGRqnI9KCsVqs8\nG3p2vE5TU5NCsEypiYyMVGiJ12EKS3d3tzxNenvclFBZWSnF23PzGdUgXodqUGJiotQ5hlU8FSJ+\njqr11KlTVcKI3idVwPLycoXjqe6npqbK86VSx/BxZWWlxp/jlZKSIu+ToSLPmsv0JulB8nfr7Ozs\nVZ/VwKAvwd/fXyow0zuoHJ86dUon1VFFDgkJES9xvnlGrzgfqK6Qy8rLy6X+eJ4YShWKEUAqQ+fP\nn5fixOt1d3eLBzg/PTd/9ywpSS6rq6uTUkXlLDQ0VGoP+Yxc2a9fP90vS+OGhoZq3lMhZ4jds9wZ\neYffmzp1qpRu8mFSUpKUQkYiGVk4evSo+JL8B7g53TO0DrgUfLZFJYwKn5+fn6KmBgZ9CdXV1Zg4\ncaKUa2Yj0C6JiIiQDcETzEeMGCEuI9eQf2w2m1Tdhx56CID7rJpDhw4pikeluaOjo9dZCJ6qMDd0\n8tTOjz76SHOTGQFMY/NMbaPazlSZhQsXKmWO9s+2bduU0UAuIxc4nU7xIe22MWPG6ORSloZ87733\n9D2OGUvgUgEPDAyUXUhbbty4cVLSCXJPUVGRFHuWooyPj/cqUwu4OTkgIECRENa4J98vWrTIy/69\nFIyybmBgYGBgYGBgYHCD4rop6z4+PkhOTpZnRtWIylVUVJT+n6rQ+fPn5QHRQ6E6EhsbK6WYXh89\no4SEBLXBjQ5paWnymDw3QgAuVYz9onfocDhUeoxeD724srIyqew9vb7Ro0fLq2L/wsPD9V2eIkrl\nyul0Kuec/fLx8ZHHx/tlTtO2bdu0MYPtU/kqLCxUG2PHjgXgynmnB8cxZ76s5wFO7FdDQ4NORPX0\nCgFXXhi9cyqIVPIHDRrkdbCLgUFfQnl5OaKjo6VqcxMjFeDJkyfrNUbOtm7dqg2cVImYr52QkCBF\ni6oX51Npaak4i4rWlClTxEdU5KlMHz9+XDxGBWnQoEFql/nlVLtsNptyytk/8tXhw4d7RQrPnTsn\n7mU0zXPTFDmYKpnNZlM0j5ulGKUMDAyUik+1nhvKPMeJXJyYmKgoHcH7am9v7/VeY2Oj1Hnm2XOc\nOzo6FDXgtTnOVqtVPGlg0JcQGBgIu92u+UfbhnPp888/1+ZT5p7HxMT02jzKPS1BQUGa37QhGIGK\nioqSPcINl3FxcZqHFyvdTFuF6/+dd96JLVu2AHBvBiWnbdy4UbYD7REWysjLyxMP0cY5e/as8tHJ\nj+xfbGysOIwRuGPHjmmjPbmS0b+6ujpxxt///ncAbsV/3rx5igiy71lZWdq/x4gF2z5z5oxeYxnM\n119/XbYSszx4ve7ubtlh3/zmN73uw263ay/m5WCUdQMDAwMDAwMDA4MbFNdNWXc6nbBarfLMqPx6\nHthDdZuqiNVqVQ4lvRDmQo0fP14VXPgZtrlv3z55nczPHjx4sJQqtk8v7qabblIVCJbamTZtWq+c\nUyprgYGB8sjYH898eapZVOTDw8OV10TPi16vw+FQ+/xeS0uLcsPZf97b6dOnNWbsD/+OjY2Vss7S\nj5GRkRo7KmpU/0aNGiXFjl57fHy8csqoMjJv/vjx4/LAeW3eT3FxsUpFGRj0NdhsNrS0tGgu8Znn\nPD9y5IjUG/JHWlqa5j+VZSo9R48e9Tp2G3BH/qZOnSo1nPnmBw8elCLNz5HXhg4dqmuSI6qrq/Ua\nlS1G92666SbNS0bMiEmTJkmZY4Sgvr5e90muIKh6AW6+bGtrU/SQ+bPk2/r6en2OfWBOeWRkpPpK\nFatfv35S83nf/F5nZ6fGgJGC0NBQqXXkKX4/ICBAHMSxp4Jot9u1vhgY9CU4HA6cOXNGkTMquVzH\nx44di48++giA217w9fXFrbfeCsBdUY4R887OTqxZswaAex6Se/bt26dI2vr16wG4OINVlMiLntXm\nFixYAABYvXo1AFfkntF78gJLJHZ1demajMrTTmpra5N6Trtk3rx54jBG3JgrvmPHDuWQ07Y5efKk\nctR5bSrzzc3Nisqxf7STUlNTdR2WpQwMDNT+GR7kRIwaNUpjQgU/NjZWUQPuneGa0dbWJm7iuJJ/\nKysrxX09r+OJ62asT5w40au8H0mYJ+YNHTpUPxQ3HAwbNkw3QWOYi1tlZaVCBzSEGappbGyUoc2b\n37t3r1JRGBbiojVgwAClg/CH7ezs1ALGBYahGYfDIaOYizVDHB0dHXqg+SDl5eVpseHiwXEIDQ2V\nA8M2LRaLHj6OE52ImTNnajMbf2w+NJmZmRoLPnC7d+/W/dLA5gLc3t6u0Bjb4gLI8QfcE5PlzwB3\nLVJuLBs2bJh+PwODvoYRI0agtrZWfMNnnnwQEREhQ57ztaKiQjzjOXcBF19xDpO4mdLmcDi0YZSO\nelhYmOYS5zwXJ88SYlzYEhMTNQdp+JOnmpqatPmUHObJeewXrzd27FgZsuRXz9MCyY3ks7q6On2e\nzoNn7XkuxuwrjfecnBwt0GwrJSVF90lDg+NUVlYmfmUKS3d3tz5Ph4HvJSUlaVzJxzRw6uvr1VcD\ng76EtrY2ZGZmyhnnSb901gMCAmSYss63n5+f1mpyB8+JqKurk+FIcYEc1dzcrHQWtuXv74+cnBwA\n7nQWzv/g4GDZFSxhaLFY1EfaZDRiBw0aJA5giiG5NisrS/YHN8cWFBTovnlNbj4NDAzUdWhzkQMB\nqK45ba2jR4/KwSHH0sbx9fVVvzxPhqfN949//AMAVGSgpaVF90TuX7BggYpz8D32ddasWUqvIRcz\nFbCqqsorVfBSMGkwBgYGBgYGBgYGBjcorpuynpeXh8jISKVW0IuhanPy5MleIZaSkpJehwhR+ero\n6JDSxdQMKjNDhw6Vt/fhhx8CcIWA6DExzMPvV1ZWyvui+tLd3S1VjRuY6C11d3dLNaKH6hmSpuLF\n9yIiIhR2oac1dOhQAC7viq+x/YMHD+r/ed/0gFtbW3VCFyMDHMM9e/Zo7Ki22+12eYP0tKnE+fj4\neB1KBbgUMqpe9LY9T13lhjj+jhw3z40ppkSaQV/DgQMHkJmZKSWIc4tKksViUUiUylNcXJzmTc85\nX1ZWpvKPDOmSu8aNGye1maHXYcOGqbQXP+fJLUwlocrU3Nzca5O+56Z1qj3kMPLt4MGD9Xluju/q\n6lK5Myo83DyVnp6u0DFT5TxPDmWpNfLA2LFjvU6BBtyRvP3794s3GXaPiorSPTFNkYp5SEiIuISc\n1draKr6jmsixqaur029EDmNfKioqem1WNTDoCxg+fDhqamoUNedmUtolubm5iijRhgoPD1fWAt9j\nutjGjRuVccB5z/ny0EMPqTy254nKnJOMBFL5bmhoUESd9oLD4ZAdQq7xTPul3cUIGedxa2uruMbz\n4EraSuRTRvFycnK0UZTcuWvXLm0KZVTOM2JJXqQNyOudO3eu1+nsra2tUv+p0jPlZcCAAeoXSzGG\nhYV5FSEB3DZdR0eHNqcyTYd9jouLu6LN70ZZNzAwMDAwMDAwMLhBcd2U9QEDBmD06NHyTJg3SU8n\nPT1dnqJnWTOWCGIeO1WtkJAQbQql18ZcyZaWFrXP/NLz58/LU6TiQ7W7oKBAniW9voqKCnlO9Cbp\n/bS3t8tz4sZPz4NAqDDTc4yPj1euFO+NClBDQ4MUK+YwtbS0yIukokSvuKmpSQo5lSiqZr6+vspR\nZRRh1KhR6hsVLOZ1jRs3TuodN1pERET0Og6XyqC/v7+8VvafHmpeXp7JWTfos0hNTUVxcbFUG0ac\nGKHr6urSfGM+dHZ2tnIsqTyRM+Lj46XQMDLFuVZbW6s5xXldXFysUrHkDaoynrnWLE3Y1NQk/iIf\nUEUODw8Xb1Ilo4pTX1+vuc78dIvFor6RG/j56upqcTT7ExcXJ16lms9r2+12Rd2oqpErExISpGRR\n7QPcubTkDyr+27dv1zXZvsPhkGLGsaf6HhMTow1dXC/IYXFxcRpXA4O+hOLiYkREROhZ5jrOf0eN\nGqU5ypzp1NRUvU/bg/w1bdo0HfYzYsQIAN6HKFKRpyJ94sQJbermfN+5cycAl13HOU37bdasWeoH\nS0Myur927VrxA/mLfJqYmKj5yzkeHBzsVeIQcNtjgLs0JA9ey8zMlL3DzzM7wfPQO3ITOSQiIkI2\nI/vn4+OjMaQ9xiheenq6rsO8dz8/P2UekEfJtXfddZeuxTbZl87OTv1Gl4NR1g0MDAwMDAwMDAxu\nUFw3qcFut+P8+fPyWqhkU5GKioqSB7Rjxw4ALtWdVQ2osLBcY1JSkjwzgm0lJCRIraFydf78eeWV\n0uuhIj1kyBCp23zPYrFIgee/VJxjY2OlStFD42dCQ0OlnlOtqqys9KpwwHsDXN4u8z158NH48eOl\nsrEknGfOF3M2qZ7z+zNnzpQ6T4U9KipK7fLa9BI///zzXlEJu90uj5TVduglp6SkKEeX982/AwIC\nTE6oQZ9FY2Mj0tLSVOaMc4RzrbKyUgo25/rp06c1f6jI8+/KyspeKj2V3aamJqlDnEf9+vVTlI7q\nDedhUVGRVGeqP21tbb0OKGE+eFBQUK89Qby2zWZTNIzRsejoaPEMc+jJT4GBgfp/qj9BQUHice4p\nYq5mSUmJIgnMAWVOamlpqXic92ixWHRwCPNtmUc7cOBA8TGrVTU1NWn8WSHMsyQt1wT2mYp8YGCg\nFC0Dg76EoKAgOBwO5U8zu4DRqVWrVsme8qy+QsWac5Pz6+DBg+I38grfq6urE1/xe5mZmeIa2gLk\nJqfTicWLFwMAli1bpjbvu+8+AG7eIddERUWJFzl/mT3Q3NwsZZ38uG3bNpWGZPlHloicMWOG+IQc\n0tDQIDuHqj7HKSEhQRVZ+Hn2c+vWrcq5570tWrRIyjj7zPKXJ06cEHeTA/Pz82XD0ubiONfX10tJ\n52/FKIVn5cHL4boZ6+PHj8eePXtk3LFzDDNbLBYtLAyZnDx5Uj8eB4s3X1ZWJvKlgcpNEyUlJVrA\n+F5UVJSuxXQWEvrx48dlrDPkUl9fr4edC4BnCSA6AewXF6jCwkIZ8uy73W7X4sRFlH23WCwy5Pn5\n6upqjQXThjgmvr6+mrT88fkwHjp0SA+QZ7lGtsX+M1RfWVmpjV4ck9DQUDk6/K24QezAgQN6kHtO\nNH9/f4XPDAz6Gs6cOQMfH59em0j5TI8dO1YpKCTboqIicQPJmXPR399fCyFFBM61xsZG8Qbnz+TJ\nk3Ut8ofnpnIuljRUHQ6HFhIaw7x2RUWFQtJchGnI+/j4KD2Hzvj69evFq5zznN9+fn7iLs8TTLnx\nluFq8lpgYKCMdPIIF3+r1aoFlFznWS6TPEVetlqtWuzpRHV0dMiA73miYWNjo1IF+Btx8dyzZ48W\naAODvoThw4dj69atuPnmmwG4Dea5c+cCcNkE3Lz4wQcfAHClX7DO+qpVqwC4xcbp06dLSOQJxEz/\nLSwsFPdRwKupqVF6B+c9bZbS0lIVs2Ca8Z49e+T8c06Tm8LCwrB7924AbjGTXJOUlCSDmdyxaNEi\n2UBLliwB4BZzt2zZotQecmtRUZH6TwefG3Pj4+MlMtBQZluVlZVKCeKmeYfDIXuHp7mSMz2dDt7b\nhx9+KN4hh7MPq1atEk+TY5cvXw7AZXPxt7wcTBqMgYGBgYGBgYGBwQ2K66asFxcXIygoSF4PlSIq\nwJMnT5a6y3JjSUlJSgfpWe5n1KhR2jxFL4/qUUlJiV6jKhQUFNQrpMEyZSEhIfKgqD73799fqhHT\nZxhyOX/+vDwzeqtUwdLT06Xm04Nqbm6WasbXqPh4ljmiqhcTE6PX6H3y3urr66VKcWMHx6ahoUHf\n4/2fO3dO3jA3bnFMampqtDGDUYn29nZ5w/Sm2daFCxekynOcGCFxOp1KEzAw6GsICwtDUFCQVF2m\ng1A18dxUTpV38ODB2uQ+bdo0AO6NjSNHjlRkjlE0quL+/v5KKfE8sY/cxj5QHQ8NDVUbVG5OnTol\nJYh8wA1h/A7g5i7P0rJUzMhvU6dO7XV6NEs3Dhs2TP3xPDCKPMNoJdWxpqYmjRPbYtt+fn7iFirx\nTqdT3Eb+YCneffv2eXEb+8PPU3HjmhIQECDVkWPCew0PDzcnmBr0SZw4cQIWi0URMZZuXLlyJQDX\n5kU+51yPExIS8PHHHwMAZs+eDQBStBMSEjT/GOmiCh8UFKR1n4r8/PnzNb9pAzFzITs7W/1iism8\nefNkm3C+k7+OHDkiBb7nAWm5ubmKHpD7qqqqtIGTJQ/vuusuAK7CID03kk+ZMkV2IdNT2AcfHx+l\n2HkWCyFoJ5GnbTab+JmcT+7Jz89X2iK5xt/fX4o6fweOpdVqle1EW5NjmZ+fr9cuhysy1pctW4bj\nx4/D4XBg8eLFSEtLwyuvvAKHw4HIyEj84Ac/kMRvYGBgcL1guMnAwOBGheEng2sFHyfdiEvg6NGj\n+PDDD/Fv//ZvaGpqwk9+8hNkZGRg7NixmDJlCv7xj38gJiYG8+bNu+yFPvvsM5w7d04eEPMM6RH2\n799f+Zv0tNrb2+VVMV+UGyiam5uVJ0rFhF4QDxHwbN/f31/t0+OiwpyWliZlnJ5RYGCgPCyqOlTT\no6Oj1X/P46wBV14UlSiqzx0dHV6qmmefa2tre5VgczgcUo2onvF7R44cUeSB/aHKVVFRoegB88xt\nNpuUJ94Hr5OcnOy1CZZjw7wu5sRzvKqqqrwOegLcUZDg4GDlej3yyCMwMPiqca24CQBefvll1NfX\nK7+cGxOpkBw7dkzzgjxz6tQpqTE99484HA5xCb9HFae6ulrXoYpcXFysKCP5g5wyatQoKS+cb11d\nXYpO9uzD5s2blZ/NkmxU0ObOnasSYuQuf39/8R/bZA57U1OTooIsIenv7y8uYYSQf48aNUpcQnWf\nnF1TU6PPeb5HdYw58VTc7Ha7uIfjGhAQ4LVZzfO+Dx8+LE7kBjVGKxwOB0pKSvDmm2/CwOB64Frx\n044dO7BixQqvzaOAO+K9bt06PPDAAwBcpREB4Pbbb++1p4X7V5xOJyZMmADAdYgQ4J4nU6dO1ee4\nnvv4+IhPmLu9aNEiAO4DgQB3FsDs2bOl+pPzaINMnjxZZSOZ2cAo4/DhwxXR45xuamqSDURepL1T\nVVUlHuWm+dLSUtlaVL6ptE+fPl2RQPIh2xo2bJiUe/JccXGx9gIwt502o7+/v+7twQcfBOBS62kX\nMhLBPQFOp1Ocx/2H69evB+DiUGZj/OEPf8Cl8IXK+siRI3XhkJAQtLe3o6CgAI899hgAVxhk7dq1\nX/jABQUFYdCgQTJgaax6hh4YWmGIYv/+/b0MZj5IAQEBWmzYhucGJc9FE3ANMgeEPwYN+bNnz+o6\nTAfZuXOn0ka4iPKB6+jo0I/MMDMfJM9NEgyPOJ1OTTSGh3gK6ZEjR/Qjcmzy8vK0YYKLFRfuiooK\n1UDme5yUp0+fVqiF4eP4+HgZ1vwc3ysvL9cDzTBVVFSUPscHk32PiYmRE8Qx5O9SUFCgCWZgcD1w\nrbgJcKWLhYWFaW7QeOW8Cw8P9zoFFHCFghkWpZHLzd/JycmaNzSYueDV19eLsJkqMnr0aHEVF0kK\nFUeOHNHnuFD3799fXNizbnpmZqZC0zwXgQ76qVOnenFjXV2deIn8Rz7cu3evNlVx0Q8JCdF9M/WG\ni31FRYWcEy7C7Fd3d7cW3r179wJwczbgNvxpvM+aNUsVr8j1hw4dUn845vz8sGHDxOkcE/4GXV1d\nXvWZDQy+alwrfmppaUFiYqI2U3IuM6Xj1ltv9UrdAFybUOn8MhWD6SP+/v5Yt24dALfDy3Xcs5oK\nbZyYmBiluHCNp6Ha0NAgQ5nXqaurk9NMXqBts379erXLPtMuGzJkiDiP6Wzp6emycygCcBwSEhLU\nfwqx06dPx9tvv+3Vf15n8+bNEjvmz5/v9d5nn32m15gCmZqaKueBYsm3vvUtAMAbb7yhSjJ0YJqa\nmnDbbbcBAN566y21AbjSJGmc077lmPj4+Ojal8MXbjD19fWVsbplyxaMHTsW7e3tIu7w8HDlFxkY\nGBhcLxhuMjAwuFFh+MngWuKKN5jm5+djy5YteO655/Dkk09+6Qv5+/sjNzdXpWwIKsh+fn5SYuhd\nZWdne9U9ZzuAS8Hhd6l+cTMqFXAAXjXMWTeUE4Th1FtvvVXeDt+Li4tTSIOhcLY/aNAgqVNUcqiw\n19fXS1miCtba2ip1mx4awzAWi0XtUjGKjo6WOk/lm/0KCAjQ56lu0XufOXOmvE96kG1tbVILGYFg\n2cnw8HB5rZ6bPngtqv9U8MLCwuR1E7zv/v37a0OdgcH1xD/LTYArfJqamqr5yUgZuai5uVlnPHDO\nWCwWbTyi6s4yhSUlJXqP6g1DtklJSVKk+V6/fv0036giM+I2ceJEqWnsX0lJSa+N8kwLbGpqUhue\noW/ANU/JWbwPh8MhRY68w77OnTtX3Eg+TE1N1X2yDc868Pw8uYu80NXVpfa5kez48eO9lDOG9z1T\ngzzLM3IMPEtVAi5uZFvsH7+/Z88eRToNDK4n/ll+WrVqFbKysnqVbCYn1NXVaR3m2h4VFaV0Nyrf\nnPebN2+W4s1oE9NhHA6H7ARyYHl5ubIMGBFjysi3v/1t/T/nnp+fn+YaU+hot7W1tSkySduMKnxh\nYaE27LNM44kTJ6Tq8/OMpN15552KIDLyWFFRIR5lFI+86HQ6Fd3kPbLN2tpaKfG01QoLC8WjvH+m\n0QQEBCjFxbOAACN6jJawzZqaGmWOMIpBnkxMTNR95OTk4FK4otKNBw8exJo1a/DTn/4UwcHBsFgs\nulnP6iQGBgYG1xOGmwwMDG5UGH4yuFb4QmW9tbUVy5Ytw/PPPy8lJyMjA7m5uZg5c+ZF1fKL4cyZ\nM0hNTZV6TlWYikliYqKUb3phBQUFUqfptXEzZv/+/fXQ8/PMD4qLi5MCTGUpPDxc+Yv0jujR7du3\nz2uzFeBScKgwU6VhjmdXV5eUMfaP1xs3bpw2p1E9dzqd8vyoutMby8zMVL4oPcbGxkZ9l2qepxdK\npbxnvllpaalUKd5rS0uL+k01i15cVlaWNrLy90hPT5cnzqgGN46cPn1aCh1/N/YrJiZG92ZgcD1w\nrbgJcO0vqa2tVd405zBRWVmp/G/Oi+LiYp2eyfxQ7ukYMGCA8t57bhi9cOGCVy4r4F2+iyoZlZeQ\nkBAp31STGRX0/H9GAfLy8jSfqWJRXZo5c6Y4kaXckpKSpLBxDlOF8zw5kfxcW1ur8aF6ziiCv7+/\nOJG/Ca+dnJws7mKeamlpqfbgMDpBnD9/XuNLhaqtrU1rCPmfCA4O1vgzn533P3z4cG2aNTC4HrhW\n/LRgwQL4+vrq2SavMBJfU1ODTZs2AXArswcPHpRNwnnCvO6ZM2cqZ53zixGoXbt2aZ6T54YNGybb\nhMo0FfPt27eLr8gBNptN85wKM22oTz75xKu4BuB9UGRPWys8PFz7e5gxwbGsq6sT/5A7CwsLlXFB\nnuB93HXXXeJUboBlBkJqaio+/PBDAN4lHxkV5GFTtDFDQ0M1ruTKO+64QwcdcZ8Obanm5mZ9nm16\nZl7QJrscvtBY3717N5qamvC73/1Or33ve9/Dn//8Z2zatAkxMTFKoTAwMDC4XjDcZGBgcKPC8JPB\ntcQXlm68VtizZw9CQ0O105aXpcI8efJkqcjMp5o0aZI+TxWZnw8PD9drVHepPtXX1/cqeh8QEKDv\nUommV/nxxx/riGz+29LSokoELHNEb3Lu3Lm9SiuyzzabTeocPaeamhqpa1SpqPKUlpaqr1T68/Pz\ndS3PUpVsn/dJb5Jq2JAhQ+St8l6nT58uL5VqPaMHNptNXjrb8Pf3VxtUvzgmx44dU797KnwXLlxQ\nGTp6wgYGfQUvvfQS9u7dqypHjHZ5HorUM3JUVFQkhZwqFtWfM2fOSPXhPGJU8LPPPpNCRX6qqKjQ\n/CffUM0aNWqUlGJyRVRUlBQgVoVgtGvChAlSbxgVY5QwMDBQijpVr927d0sdoiLG+w4PD5f6RPU9\nIiJCahrzzPl9i8UilY5KIHk6LCxM3OJZrYVRTapR5C7Pw+R4vX79+ilKSaWKvBYdHa1rcn3xPOSu\noqICb7zxBgwM+hKeeeYZpKWlqaoUywnSPmltbdXcpJrs6+vbqyILVd6SkhLxA3PDaRNZrVbs2bMH\ngFv5TklJ8coSANyHKLW0tMiG4L/+/v4q6chr0l6Ki4uTTeN5TX6PfPLuu+8CcB0AxcOdGF0jP2Zm\nZoqvmHPf2tqqnHX2n9GLrVu3SrlnxI1ZFrW1tcpLJ9ra2sQx5B/eY21trcaQ9t66des0PuRAZjO0\ntLTomsx1J6ffeeed4sPvfe97uBSu2wmmDocDubm56jB/MG6W7Ozs1EZO/ig7dhsOPCUAACAASURB\nVOzQYsjFg+GerKwsGcBsgxsDwsLCvIx6wFWDlwPJAT948CAAVyiXg8VNG+Xl5ZoUnmXJAJfBzUWE\nhjMf5u7ubi9jmPfDRZYhaN5jQ0ODvkvDNzw8XA8Ha4QyzB4YGKjv8j48Q2l8AOixt7a2ep0g6HmP\nDQ0NWsy4IKenp/eqr87rjRs3TmNII4P98vf31+cMDPoa/Pz8EBMTo2ef/EGeio+Pl5FIgzAxMVHG\nMEum0ihuaWnB4cOHAbjnFo11zyoQbD8jI0NGPcPVnvxBZ52Gr8Ph0LW5eLF/fn5+apdOBPswePBg\nhbkZer3jjjt6lcblQjdw4EBtVOPYBAUFqV067zQWBg4cqJrEngIA4N7EC7gdEcAdFiZXc8FuaGiQ\nIc/FLz8/X4txzxNPd+/erU1cNA4omBw6dEhtGRj0JdB+YD1vlgWkw19aWqoTlJmqt3LlStxxxx0A\n3KVjafROmTJFn6ddwrKC99xzjzase6bR0LZiCspHH30EwMUJnuewANABUIDbxiI/7tu3DwsXLgTg\n5gVe59ChQ7JbyBOrV6+WLcRSiRRSLBYLVqxYAQC4++67Abiq7tDGpCFPW+2mm25SH8md5OQRI0ao\nRv03vvENAC5xkvxBLiMvVlZWqlQlDfLs7GzZqeRbOi333nuvxn/BggVev8exY8fE4ZfDFW0wNTAw\nMDAwMDAwMDC4/rhuynpoaChiYmKkBjPlhZskCgoKFIagehsVFSWviwowNyPFxcVJ4fI8KAlwhSyo\nJvN6DodDr1EVpucFuMufcZPE6dOnpRAxNM7v1dfXK5zSMwUnPT1d/fEs70gljV4oowIRERHagMU2\nPPvKMAxLGsXFxSm85anUcRzYV6pmnmXcqEjRS9y1a5faYCiqpaVFCjk/53kqFw9sIXhAQUREhJTB\nK93UZ2Bwo+DUqVNoaGhQpIjRNM7lwMBAKb58vu12u+Yx1R5yV2xsrNLsqC5RoW5ubu5Vfu348eOa\np+QN/l1ZWSmlhspWQkKCQt4M5fK96OhozX9yFtUph8MhFZ1zf82aNUp141ynQt3U1IQ5c+Z4jVVl\nZaUintwcRoU9NzdX/WfKH/sXHR2t8WSEoKqqShzK6IHnGDLqyD7HxMRIDaSCxnGYNm2alC/+LoyQ\njBgxwtS0NuiTiI6OxsmTJzUXqD6TV2655Rbs3LkTgHsO+fr6KuOAajujWWVlZYpmke+own/88cey\nw2gHfP7555rvVNj5GavVKjuK/27atEm8RvWfPBETE6OII1MGyatLlizRYUjk3/j4eEXOyCPMQGhs\nbJR9R1swOjpaEUaOF22bDRs26PAhZmhwbHbu3Ck+5LhNmDBB1+Rr5JxDhw7JPuK1MzMzFXFgagx5\nt6urSwo8Cw3QlvXz81Pq0eX2MBhl3cDAwMDAwMDAwOAGxXVT1k+fPo2mpiZ5O9yYSUUqPT1dKgjV\nW34GcOdW8TN5eXlSc+j1UX1qamrS5+lNzps3Tx4QvTZ6OPn5+fIi6UGFhYXJ8+PneO2AgAC1S1Wb\nSnhnZ6fyK+nhxcXFSTWnZ8a2KisrdR2qQk6nU+o5+8U8LwDyTHkf3GgaHBysyABz0s6dO9drLHg/\nEydO1AZe5nVNnDhRR+wyb4wec3V1tTxlz8OpAFcEg0qagUFfQ21tLZKTkxXBmjx5MgB3JOzYsWNS\nZlm2taqqSnODZRMZCQsODlbe9IwZMwC4+cnX11d5pMxV3LFjh/Io8/LyALjn36BBg8QNnLvDhg0T\n93AjK/8uLS2VUs45SbX6o48+kmJPpd9utyuKOHv2bK++1tXVSdVmW7fccot4if2hMpSSkiJ1jFzH\nMWxqahK/UnGyWq1S3fg58mZ2drZXiUf2i9HDnocjVVdXizd7lpasq6vrdaCbgUFfQHFxMUJDQxXF\nZlSK86SxsVGKLJXg/v37Y/Xq1QDcc4f7WEJDQ8VvVJhpG3mq9HfddRcAl23DecT2ac/U1NQoB5uc\nFhcXp3nLaD4jfdnZ2eIWtsGIYG5uruwLcsgdd9yhfnMvD/PfrVaron7kldGjRytrg7YmFeyuri6p\n8lTUGYGbMWOG8t9pT27atEnFMsg1GzZsAODaOEsOW7VqFQAXX7M/5DIeGOXv76/1g3nw3Ce5Z88e\nrRGXw3Uz1tvb2zFlyhSFQbmoMRxcVlbmVTUAcD0kPXfXcpHo6urShkluquTD3NbWpoeF4dzGxkb9\n6Fxg+eBlZGQolMrFqqKiQn3lg0bHoqmpSaFwPiQMN4eGhuqH4uIbGhqqUAxTXvggnTt3ThsV+BAH\nBgZqs8PPfvYzr+8NGTJEoSiGj/mv1Wr1qncMuBZpLrJ8IDgxu7q61EdOqlOnTimEw89xnIODgzXW\nvB/PU0v5kBsY9DWMGzcOeXl5vbiBYdbU1FRxEY3LESNGiKtYmYFzeNSoUTKeyXVcXDs7O2Vw0ml3\nOBxeZx0AbuPYZrMp5Mpr19bW6jX2mbywdetWzUU69Js3bwbgMpL5OXLk+PHj5dBzAWX/kpKSNMfJ\n1SkpKVpo6Gyw/dOnTytFkCk15NEhQ4ZImGAFm8mTJ3udOQG4U14sFovGnLWTbTabHAT2le91dXXp\nnthX8mB8fLzZYGrQJ5Gamorq6mqJBLQ1aI9kZWVpvlI02Lx5M2677TYA7rnAOVpTUyPBj0U9yF+B\ngYH6PA35BQsWqNAFRUOeRDxx4kTNZdoNra2tSjdhPfelS5cCcM1tchgNZ3JVenq6eOXOO+8E4BID\naGvRvuM4BAYGelWsAVy2EHmE3EfxIzg4WIYy7Unaart27VLaIp367Oxs2XcUMzn2+/btk5Nx++23\nA3Ab4UDv0+J9fHw0/nSUyJM+Pj5yTh566CFcCiYNxsDAwMDAwMDAwOAGxXVT1gGXJ9XzVCmqSKmp\nqfL26HEcOnRISjpLgxFJSUleYVzArcjY7XaFOegRzpgxQ+oRVW3WAO3s7Oy1ucDpdEqxoprMsHRE\nRIRC3Az1sszj+++/L8+Uqn5xcbHUIHqkVLR9fHzUBsdk1apVKh/Ee6KXCLi9QqbeUGHi/bFdwKXE\n0WPkONGT9fPz07XZhs1mU1iZCpznZjKq+FTbGGIqKyuTamZg0Ndgs9nQ0dEhpYnzkxul6uvrvcLO\ngCv9gp+juksl18/PT/OZartn2gYjZVTTMzMzpQpTUacy39LSIrWHqYHNzc1SvpjywuulpqaKszZu\n3Oj13qBBg8QpTJWLiYkRPzFSwPmdnJysEDhVrO3btyvszpQ5Kns2m02pdVSQPDfo8z7I5w6HQ4qc\n52nWgGu94AY41lH29/dXuz2jH7x3wB3657/l5eXiewODvoTi4mLEx8dLkWYGAm2jkpISzV/yT3h4\nuKLfVIUXLVoEwJUpQN7peQLz2rVrZcuQfyIjI2UDMBWFn//ggw+UBkN76fjx44rK33PPPWoXcCnN\nVKBpo3HeNzQ0iH9ZnjIyMlI2IyOJ/F5nZ6eUeKakVFdXK+LAjAD+O2HCBNmDPU8/vv/++9UW+crh\ncGjzK+0kcv+FCxdkMzJ1MisrS+sFeYfj3NraqnWAnElePXnypNq6HIyybmBgYGBgYGBgYHCD4rop\n60lJSQgMDJQnRw+FXlNGRobKOFJhGjdunFQgenLMf8zLy1OeNT01ejj9+vWTOkXVyVMVpodKlbu9\nvV25RbxOQ0OD2qWSw74MHz5cSjfvh6r2rFmzvE7bA1weMDfN8tq8zqFDh6Rk0xu7+eabpXDxABNe\nZ/fu3boPeprccMFx9mxr4MCB8rbp2dHzHDt2rD7H/kdHRyv/izll9BZPnDghr56/H/PIGhoa5MHT\nOzYw6Cuw2+2YPXu2uIdKFRUlX19fqSxU0QsLCzWXuB+Gio3ValUbfI1z/8KFC8rF9jy1s2fuNiON\nfJ3XBFz8wXlPRYsbvPz9/aWAkQcZ9QoJCZHCz1Ji27dv1xxnVJD5mJs3b1YfmTvq4+ODDz74wGuc\nyE82m01tkVO4JycpKUlteW6EozJOBYwRDM9yliwmEBgYqIgq2yJXVlRUiIPYBqODM2fOVDTDwKAv\nwW63IzExUVzjGZUCXHOOzzk5pqOjQznSzMsmfxUWFsoWYJSef3d1dSnHm0p8Q0ODOIYFJTi3R4wY\noTbIc57FJsgFOTk5AFy8QjuK6jujhVarVZzH+xgwYIA2gVL55nxvampSZJORwLa2NinWVNFpj3ke\nYkfbkdc+evSo2ien+fn5iQ8Z7aPdY7FYxFtz584F4LInyeuMNnA9sdls2kNAbqb9lp+f75UVcSkY\nZd3AwMDAwMDAwMDgBsV1rQbT0dEhz4yHELFMUFNTk1QjKjhBQUHyBlmOh9UHBg8eLOWa3g7zfoqL\ni6V00fsMCQmR10OPiB5qWVmZvDd6UjExMdohTW+MSntlZaU+37MEZVhYmJRy5okGBQXJU6Q3RQXI\n399f/eJ16I159t/zMCJ6hfQw6aG2t7drDOgJAm6Fn+XZPCvZ9IwCdHd3S/WiqrV3714Arlwx7sSm\nukhPOD4+/oq8QwODGxFtbW1oa2uTItuzvKvdbtf/819fX1/NZ3IKDyqpqalRZYaeVUtOnDghLuGc\n6erqkuJNRYy5mQUFBeJBfs/z4DRem5xUWloqJYyROSpcBw8elGJG5WnYsGFSu9gfqj9ZWVmKQDLf\nPCYmRvnrPau7+Pr6isd6lk88ceKE7pFjYbfbNdZU5sg/o0eP1msc5/b2dink/B75MjQ0VOoYI6Uc\nk23btnnlthsY9BWkpaXh+PHjilhzzWbEbc6cOZozPKyIkS7AXVqQUfSOjg7ND/IDS6/GxcVpHxpt\nloCAANk0/Jf7Ze666y7NPx5edOjQIWU0UHUnhwQGBsquoK3iGQ3jHhtyCL8HAIsXLwbg3kMYFBSk\nCCCVfH9/f0XcmGdOznE6nVL4yVe0ASMjIxW9Y5/b2trEoxwLz2p43GvDfY7Hjx9X1RtPuxNw8WRP\n++vT/9/emwbHVZ5p2E+31JJa+75Ymy15QV4w3jA2YMBATAhbAoQshJBQM5khkx+pZKpSlanJ5Ecq\nSc2PTE25plI1SzJsIWwBA8FgYwPeZMAGY8myLUuWLNuStVm7urX196O/6+4jKZjM9xlZqnrvP7J7\nOec9p897v89zP8u7fbuZRXnLW5P4aZgxY72wsNDOnj2rsDI/EKHPjIwMGZgUE2VnZ+vz3BB+vNzc\nXIVDuaEYx6tXr9bDy/d7enpE5CyipKJUVlbqpnqLHfixWZwJteTl5SmEzGt8NhgMaoy81tnZqbaJ\npPH8+c9/NrNomg6FIizIRUVFKobiYeQai4qKZFDwsPBgpKWlKeQFAoGADAiKwnBCzGKLOBN0//79\nSpvhLxO7qalJ947QNujs7FQKjoPDXEN2drYdOXJEReEUSTK/Fy9eLGMP4zsjI0NzD+PW2zIRgYE5\nw4Li9/vFe8zvU6dOqdie1+DISCQig5fFcu/eveI7FidazM6fP19GPTzIAjFv3jxxHek2OTk5muuv\nvvqqmcV2ln777bclYHBPNm3aJENh6t4Kfr9fBfycB74qKirSmOGg66+/flJ43szU2zgSieg8iDwd\nHR26/9xX+LOrq0vX4RU8zKKiCvfJwWEuISMjw3JycmQDkfICh7z33nviB4zJN998U0IiNgF90z/+\n+GPNNdJaOWZtba3SX5nbnZ2dsjXgH2wJn88nnsImSExMlMELJ3GelJQUzU1sIng1HA6L+7ie/v5+\niQRwE/M+Pj5e3IQtl5mZKS5GSOA6jh49qu9y7+itftNNN+ncCBcZGRniHYx1HIzjx4/rPmGrbdy4\nUcWjrAukLA8PD0u88KYAmkWFnb/GdnJpMA4ODg4ODg4ODg6zFDOmrB8/ftz6+/ulXJG6gZrU0dGh\ndBYU9u7ubqlTqC14JampqfKE8JK8GyfhafFefn6+vDsa0HtTXlCuUdY3bNig1BNSXPAEExMTFTYi\n7MTY09PT5YWS3nLmzBmpS4SK+ExKSorCU3y+pKREaj7tlygmGx4elnrEvSGEsmTJEqn6jKutrU2h\nZLxEjpmdna1jkeqSl5cnL4+UF85dUVGhMDm/ESG5xMREHcvBYa4hEolYcnKyQqY814RJvao7Sk9J\nSYk+j7rLHB4aGpqm+jCfuru7NWe96XFTlXt4oaSkRCkrXqUGEB4npL19+3Zt7gbnEV27+uqrpXZx\nnltuuUV8hBoHDy5cuFAhaTjuxIkTUs1R2lDqSkpKxMPs9kc6z6lTpxRqJhQ+PDwsJYvQOapUJBLR\nfUX5u3Dhgs5J5BKOb25u1u/GZ+C8pqYmvebgMJdQWlpqn3zyiWwC5v6Xv/xlM4ums3k3eDSLcoF3\nx3WzGG9duHBBacjsas4xs7OzZZORqrZz504pyvAIGQJHjx5Vegrpe0NDQ2r2wZwjqtXV1aWoHcfA\nFhweHpZdQZrNDTfcIPsF+wIb6v3331e2BDxXX1+viOHLL79sZjH7paOjw9544w0zM7XGJsI3Ojqq\ntq8o4KOjo7p33k3izKJ2lTd12CxaqE8aDK0qSTl85ZVXxK1kM7DB1AsvvKDMhkvBKesODg4ODg4O\nDg4OsxQzpqzn5uZaJBJRiyA2FaIBfzgclqJCjtGKFSukLlEoRKHR6dOn9RoKi7cBPXlUvFZUVCQF\nhs1AUJiam5ulkKHg5ObmyqtCdeKY3uJNChXw9vLy8uRF4q2uWLFCXi2eHGpbRkaGFDdvy0POidpE\nflRtba3yUTkP7RM//PBDKVd42maxfFUiBRw7Pj5e+aIo8R999NG060bd2rVrlwp8+a1Q2kdHR3Xv\nHBzmGvLy8mxwcFBzBOUXZTY+Pl7566g4/f39eo1cdebyyMiIFBcUaZSVixcvqi6HHO5bbrlFET9U\nLJSePXv2aJ7BG11dXYosogShvN16663KHyX3E8Xt0KFDUqpQiQ4cOCC1C7WIsYbDYSn+3taVqOaM\ngcjh+fPnxTeoXnwvOztbUUo49MSJEzo3aj5/ExISNB7+5uTkTFoDvO9t2LBB6wu/GyphOByWgu/g\nMJewf/9+i0Qi4h3+wlXeOeFV0dmQ6M033zSz2Jy4/fbb7fnnnzezWJMKIoIFBQWao9g7nZ2dUrWJ\n2KGKL168WP+mxXViYqKidtgJ5Gd7j8V4uJ6nn35aKjg2TVdXl6KP5Ox7N0fCxsJOXL58uSIK8BCK\n/4033qiI4K5du8wsxl+RSER8wjHLysqUTcE9wW5dt26dCt0Z33e+8x0dF9sUbtq4caPuNcen4LS8\nvFyFtZs3b7ZPg1PWHRwcHBwcHBwcHGYpZkxZT0pKsnnz5kk1+cIXvmBmsQ4DIyMj8nLwvFpaWqQo\n4dnghVVVVUkNp4k/3lgoFFLVL+pWQkKCcoXw8vh8amqqci7J+4yLi1POFt4SXmtBQYHUKdQslCiz\nmJpP/mR/f7/yxPEKva0eyQlF+Wlra1OuLN4t3xsaGpJK5o0kmEUrmlGxOGZ9fb3GjWLH2MfGxnQs\nqsgTExP1b1Qq8toqKirkRaPq8/v09PRIzeMeOjjMFezevdtGR0fV5QClhlqWNWvWaG4R5SotLVWU\ni7ni5RtUItQY5l9tba3mIAp+b2+vFGZ48E9/+pOZTc6dJEJXVVWleYrajtKWnJwsBYmoGIp/VVWV\nom+oX3l5eapZgXtR2t59911FP+HelpYWKdaoQ4wvNTVVStZtt91mZpO7wkzNcR8aGtJxuT/wZnJy\nsqKs/B4VFRUaG+MnQvDRRx+Je1gb4OeioiJ1D3NwmEvIycmx1tZWKbPMIfKi4+LiVCcCR2VkZMjW\nYg5hc7355ptSyMkNxyby+Xyqx4OP0tLSVH9DzjrrfmFhoe3fv9/MYl3jsrOzxTfYF6jJixYtmtYp\nBcV87dq1stHg0SNHjqjzHhFEopjhcFh2CPM9JSVFdhHHhaObm5tlY2Ffoe6PjIyIFxnfwoULdT9R\n3bmeYDCoc8IrL774ojgJfuR8u3fvVuSB/HRU94MHD8o+vBRmzFjv6Oiw9vZ2PQDcSH70goICPYyE\nlpOTk/WQkNbBRZ04cUIGMsfkgcjMzNRufjzE8fHxSuvAuGVhCofDMoZ5raenRw8OaTYc//z581oE\nGDPHPHr0qB4OPtPa2qoHjOslxD0wMKD3eBgrKir0EJEaw+KekpIyqQDL+57P55u0+HNvSP/h+nmg\nAoGAwvDc1+HhYRkj3DtC1hMTEzoX94bfgN/JwWEuIiUlxdauXavCKPjAu0sm8wLC9vl8mqcsLiyk\nNTU1mls4zhjtgUBA/X6Zi01NTeIQ+ANSz8zMtNdee83MYsZ9d3e3WpR5i7zNopwCZzFmijwDgYBe\nY1yBQEDjx7D28hXvwQNvvfWWuIf0OXgzMzNTrdlI9fGmDQKu7fz581okWWQRBM6fP69Fj4UxEAjI\ngYKLuF+nT58W78Gz8Fpra6t40MFhLqG/v98WLVqktF1AYecrr7wi24S5sWXLFjnS7JxJm8KkpKRJ\nDS7MzO644w4zM3vppZfs0UcfNbNYA4vc3FyllMBD7NCZlpYmDsNJ/8Y3viHBAR7FaE1LS9P8Zq7C\nuatWrZLNBCf4fD61Q8Qe4ToeffRR2SHwz8jIiO4BHIZgsXfvXqWZIIRQEHrs2DF9D47dtm2b7DRE\nElICvTvDIwyfOHFCAsWLL75oZjHuu/XWW8X/rCnYTP39/bruS8GlwTg4ODg4ODg4ODjMUvgiSCSf\nM2pqamxsbEyhGVRkEBcXJ4UchaitrW2SamIW8xyvvvpqKTEoWCgnDQ0NUrzxjEZGRqbt0of31tTU\npFAq4WyfzycvipCtd5cpVB1A+PXEiRPT0kDq6upUgEo4l/ONj48rjIIiNX/+fO1ARnEax4xEIgrN\nEAbHU0tISND4Uem8O7fiaXo3T8Ez9YaWuS94vlzrggULJn3XLFYMds011+hYhK0cHOYKHnnkESsv\nL5daQnoeSE1NVboJ6nldXZ24Cu6BM1JTU7W7L2Be1dfXS40i/JyTkyPlhWOSKrdkyRKluFAcf/Dg\nQSlAKOvwx7p168RVjNXbBtKrkJtFI3mcm1AtKW2LFy9WmJsoXyAQUGE9Y4Vb16xZo7A7aYT8v7e3\nV5zFdUxMTIhf4RnaynV2dkrRguMGBgak5nNN8HlxcbH4icJ8UvgqKyttbGzM/u3f/s0cHOYSHn30\nUYuLi9Pa/p3vfMfMzJ588kkzi85LuIm0lpKSEs195hUR+cHBQbVLpP0jXJCWlqY22dhQHR0dsiew\ntbztrPkcPJGZmSnFHluAeTk2Nibbho0hvRkMRCo535YtW2T78TlU/sLCQkXO4J+hoSHxGxz4X//1\nX2YW5RzvbqZmsRTCQ4cO6f5ic0YiEXEX9pt3R2QaapDys2TJEnEw957IQnNzs87JsSj8LSkpUSEr\n6Ul/CU5Zd3BwcHBwcHBwcJilmLGc9f7+fsvIyFCuFB4R/9+7d688FHKAIpGIXiO/ksKAmpoafRdv\nh9zK+fPnT9sQwFusiieIolNYWCiVHsX41KlT+jfFV+Rn9/X16VwoRN4CVbxIVPEbb7xRRbDkllE4\nGgqFpFiR53XkyBGNES+MPP6cnBxdL+ND1UO1Mot5jMPDw/L2yBXDc/Tmqnq3zsUDJ6cKb7ShoUGt\n4IgGeL11tymSw1xFMBi0+vp6zTeecxTm+Ph4KS+oyuvWrZs0j81iHDQwMCAFiRZfFFAODQ1prhJh\nbGho0Pxh8yVyNPPy8qQqMfevueYaqcYoPIz93XffVZ4qxZsoPZ988onGioqekZEhvqQ2CL71KkIo\nXD6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yc3PF2bzG8ZctWyZ7kOuF9z744ANFR9lc7i/hM1s3Ojg4ODg4ODg4ODhcGfyf02D+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\nvjjRAGyoQCAgVRuV/sCBA2oDiV3FsWpqamTncG9uv/1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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5b6ca07b8>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "c1tD2tlyulkK", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Conclusion:**\n", + "\n", + "When we visualize the weigths of the linear classifier as images, we can recognize geometric figures (circle, rectangle and triangle) in the case when we used the Adam optimizer (corresponding to the second line).\n", + "\n", + "In the case when we used the SGD optimizer (corresponding to the first line), it is difficult to recognize geometric figures." + ] + }, + { + "metadata": { + "id": "ocIyvtglulkO", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "## 4. A More Difficult Classification Problem" + ] + }, + { + "metadata": { + "id": "tF0PiCpQulkU", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "Now, the shapes are allowed to move within the images and change dimensions. We generate the new training and test sets." + ] + }, + { + "metadata": { + "id": "axp-iaEnulkX", + "colab_type": "code", + "outputId": "8d001647-b2f2-4e82-b83f-8be2e18404af", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 52 + } + }, + "cell_type": "code", + "source": [ + "# Generate training and test sets (2x 300 samples with noise and with move)\n", + "[X_train, Y_train] = generate_dataset_classification(300, 20, True)\n", + "[X_test, Y_test] = generate_test_set_classification(True)" + ], + "execution_count": 12, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Creating data: 100%|██████████| 300/300 [00:12<00:00, 21.48it/s]\n", + "Creating data: 100%|██████████| 300/300 [00:12<00:00, 26.09it/s]\n" + ], + "name": "stderr" + } + ] + }, + { + "metadata": { + "id": "yoXONwJsulk3", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We propose to visualize some images in the training set of images." + ] + }, + { + "metadata": { + "id": "U6AgGFd0ulk5", + "colab_type": "code", + "outputId": "17d7cced-4766-49ed-c0f1-480aa2184013", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 209 + } + }, + "cell_type": "code", + "source": [ + "# Plot 5 elements of the training set\n", + "width = np.sqrt(X_train[0].size).astype(int)\n", + "height = width\n", + "for i in range(5) :\n", + " plt.subplot(101+5*10+i)\n", + " img_i = X_train[i].reshape(width, height)\n", + " plt.grid(linestyle=' ')\n", + " plt.imshow(img_i, cmap=\"Greys_r\")\n", + " plt.title(\"Image n°\"+str(i+1))" + ], + "execution_count": 13, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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NmWkzQ3XTTTdJamzGY2d9nWus+Xdrub7xjW9IapgrM2tm3JxJ02Nx1113SWrG\n2mPrOXf7qd8zi+j2uN/OEjkMtOuUpUgR3ot57yQzRS0Ys/qm5zg+w5J9Sloyrxlkg/jMkHRa/J2R\nUO3feM9mhuYUVZWYKH5OY0j20r+n56s0Z+n8RspW3U9TVkxZoVAoFAqFQqFQKGykmDFN2erVq6dk\nUUz1wAZlh0qsED1+yQvPTDj05vPNNtUbS9nx6BEw0n79MoL5r71/1Mikmjc8DkFvKGOU6ZXkGBr0\nKpNZoDYu1dtgps3E/mwMSBnkOGcGPeEpO2LSDdJOGQ+etGMpRpu1oJKnh54mxmbTO9huK71iZEB5\njkH1VBITSy+Yrw/G8nNuyOQlT2S/GoLt9rJmWz/N2jA1Ze5Xqi+TmEbaVtLT0sOamP2kweN5DTJn\nbM+gbLT8zPnt563kOp/uN6l2WhrjdB2aYUmRFTxuisxIeuCkyyXTz3aOjo7Ge9dLjU6n02WGbFOu\nfWU2xVowZ0XktWn2xePjumbO+GedlH+3huzLX/6ypGY8nQXS653roV100UWSmlphZofMRpndcbte\n97rXSWoYMDN81oX5GrLuypkOHblgPZV1Y5L0ta99TZL08z//891xk5raa7fccoukRgNmG7POzZ+d\nRfGqq66S1LB4zPi40047SWqyPZqpcl/cxosvvrinr67B5u3NFrrPZuqsMTP2339/Sc1ceQ5Wrlwp\nSfrgBz8oqRnrV7/61VPqw80U2tcf1z/ebxiJ4O8ZGcUID94n+bzG9ZEaXrLlZPe51qXjpvMaXAPb\nayHXVa5naYx4LOrN0708ZeLlWDMSwUjPvinT5aBnin41VNf1XFtMWaFQKBQKhUKhUCgMEUNhyhg7\nb6SMg4P0J2R3/JlZHQfpQwx6b9ObO/VW/H2QVq4fyzWofgXHiIwAPcL0GnBM+1Vgb+9HVodjlmpt\nsR/0fFNX4f0YGz1sxmzNmjVT5j9lDkzMLj0sKXMgGTja8SBGNzFxSZ+XPPz0BBlsR79sQvTQ8Xv2\nifOctECsTWJQR8c1hvv7uPZG047pwUyZLsnWG+3vh1WnbGJiojsujNun145eQa4XXHd8PLIyqX6Z\nMSg7GD2viQlNtbq4zqTalv3mhGsLPZ3UhFFXkeaZtsXrMHlo6RnmcZi1mHOXsrGmyI+2B3tYurIV\nK1Z02+WsiYcffrikhv2x1sssizP3mZHy9+ecc46khsVxn37wgx9Ialikq6++WlLDztxwww2SpDe/\n+c09f52p0GyPWRyzQtY7mb0xO+Tze56s83J7zfjZzpw90sfzvDtbo9To4NzWHXbYQZL0zW9+U1KT\n0dF1yZyN0X03a+jMjk899VQ8jDfnAAAgAElEQVTP2JEBN2PmGmvW3/n8Hlvb2L777tvTRx/n/vvv\n7zme+2GdnnVzbqcZO9uENW/W2zmC6N577+1q+WYaY2NjURuWanAZKcorMWpca9JznJHyHCTNNZ95\nU9TNoGeZfvdFto3rZ9KRp+iItD4bjMrxvT6xhmQFU5QXnwVSnTLD7SbbuHbt2nVmEy+mrFAoFAqF\nQqFQKBSGiBllysgsGClu1khMAGNU6eVdV+x8v+MwRp1v2ga1RGSRqF1Lugyj/TlpZMiScEyoo6Mn\nhB4b1qRKXos0JinjWPIOkxEhM5YygrE6+kxj9erVUbvFeU/s4yAN5CDdE/VLSetCtoDtpo1wDtg/\nzgltpb10kLkge8D5o11wzGhnrFuW2Ow0B4MYXI5ZYjPJ8FC71D7PsDRla9eunZLps/2blOP7aSNc\n64wUPTBII5bY4ZQ5lNtRn9VP39hv/34e5RTZkOoEpjGhbQ3KfmgkbTWv85RF2HB7B60767MuDSvb\n7SOPPNLVZlkftWDBgp5tyOI4M9+VV14pqckwaJt3rSuzK2aw/NeZCO+77z5JzTxZa2Zm7pJLLun5\n3d9vvfXWkhpGzMydGS/XOXPmQbefOisfx1o2M4N+7mivI2bXFi1aJKlhrnzuJ598UpJ0yCGHSGrm\n1n20Ps22ee211/aMndk+z4WZN8+JdXq2wSVLlkhqWEDb6vLlyyVJ8+fPl9TMleubMeLBc+Q5M0vp\nbI1ut68NZ3+87bbbptjJTKG9VqV1Kl3jg6K2mLWaz5RpDeK9O2WjTRq4lB05RYf5OKx31r7fcz0z\nEpvHdYnrc3q25bnT+szncT5r8pmDz1FpXU7P//3mppiyQqFQKBQKhUKhUNhIMaNMGWMsk47AHiW+\n8TK2n14Asiopqx3jaOnl4Jt4YioM6mNSlr5UF6HfsfwmnTQR3s4eMr6l04PMWGWe295Fx5r7fPTC\ncn+PERk9eo2ZbTF5LVJmymFpHdauXRt1UrSHpMWi1oN6PXqxUsY6bp/iwMk2DKr/R0YnZS3inPH6\nbW+bYtW5ne2Leh17iemBS96p5BFMLETKFpgYv8Sq0zPqfqzLE/ZSY3JyMtZIIaNET23yoHI7g+w/\ntQbJo5t0Wkk3kGrHGGR7yVb10zokL3aq30Vmm2tSOg49vBxT3g+Tvpdra7r/pf4ZKYvr5OTk0CIS\nxsfHu7ohZ13cc889JTX1un7xF39RUqM5Mzvj9nvN8D3MbIs1WtYvOfOg73lmtpxh0Nn8zBZ5/Hyv\ntYbJdcY8jtZreX+zSz6PWS6f32ySf/d5rK+68cYbe8ah3Wfr3GznZqDc51tvvbWnbf5r/dyll14q\naeo9xowVx8DaNZ/PDJ1ZPWvX/LuZMdcfM2t42GGH9YzlPffcI0nacccdJU3NoOnskJ7To446qqf/\n3//+97v17GYa7TwJKRqF9/oUUUSdaXqG5T2ZawO1X0nzxfYw2ozrJ+/5iVljhtn2d6kmJp/1GKmQ\naobyuElDy7FNGSb5/MR7IccmZUBP9yxjk002WefzbDFlhUKhUCgUCoVCoTBEzBj9sPnmm3cZML6x\n8s0zeQ6Tt5RvxslLTy8vmasUk5q8x2RAyBrRO+HjkAlseyepabFHyPuwj2QHU10xt8EeKnpM6PGm\nByjVuqHXIsUspyxARsqmZgyLKZuYmIhZFAmyOLQrMlKsH5Z0ghwTZi+id47MGDMbsp0pHj555vtl\nc6SnLWVO5b6pD4lJSbo32gv7mthveuXScYzkFUssx7DA+TAY3568kQbnJdUlI5PJeWKmQbJQ66r3\nJmU9cdJQDKox2T6GwbFJNReT3pZMd6oNl7L+Jl0f10za7CAPb4oM6cecD4spe+KJJ7paLWcEdI0s\nsz7Lli2T1GRl9Dg7O6FZFjNU1mr5r9kba7esKTM8vtaI+TjOTOjaXNZhGWbO3O7zzz9fUqO38rj7\n/Ndff70kafvtt5fUZCQ0i+V6aHvssUdPu6Tm/u1aaa5tZrbNdb8WLlzYM0aGnyO8vxkqt8EaMO/n\nOfnOd77Tcx5rvKw5s5bN7KG/N/Nm9tP7eUzMoHmOzKy5775mfDzPgW3hscceGxpTNnfu3Di+1D5T\ni0VGjOsev09rgcH1jc/UXCt4f0h1Oo2UqZmacKO9BiVGKeUd4DMsn3kH5XLg/uxj0gCn6BvOCbXH\nKb8CdfHrqzEvpqxQKBQKhUKhUCgUhogZox/61SlLtRJSprZB2RINxtgnzQ7bQ/1BeuNmO/kGTTYp\neUT7ZaozM+a3a3vfyL49/fTTfcfC3jjHgruPjjl3fL3h49vDk+oTpToZSdeUsrGRBU1zQO/JsDA6\nOhqz/9C+GP9NTw4/G6n2FcecNbTIBpB5Tmyo59peT8ajs7YV9YJG226pgWTbyDLQ+zSI9VvfuipJ\nC0kPIOeI7Uoax6QJYKx/p9MZGmu2Zs2aKQwh229QB0sbIwPI7Qx6HdttaZ8/MZbp2jC4HrEOnUG2\nyHZAm26D+r+kn0taz6QPSXUpOea8T/B6TpnbkkaD9zEyY6k+zzCxzTbbdDPvudaV7w0nnniipCYL\nou9l3/3udyVJBx10kKTmnuhsh2Zd0lpi1sYsjr9/9NFHJTW2Zj2T22M9lZkws0PWlHmcrduyDsr7\n+3huj5k41+gyk+c6aGbDpGYuzbJ5DXc2Qo+Ja6mZWfrKV74iqcmy6DHi9ek5sM7O9cbcJuvgfuEX\nfkFSk/nygAMOkNTUH/PxzjvvPEnSwQcfLKl53nBWRbfHY2aNmW3Z/TSj5v7uvffekpq5GxYSo0T2\nJdUTS/U9+XzEdZz3wUF6KbJAae3g8yTvB6kWMD+3n81T5l5qrxhlwWgZ3mupn0sZKHm89N6Q2EJv\nzzlhxBufHVLEU6fTWeeaW0xZoVAoFAqFQqFQKAwRM6opS9lW+DfplshcJf1Aqv1ABsFg1kd6P5Iu\ng979pJchw0aNUrs99gLaO2DPkP/aG+hj2IPlzFPsO5kv729GLWXaYyx00juQBUy12cj+MH6YXpCk\ny5hpbLLJJpFd4BjQrslUJftMnhf+5RynGm/0QKU6Zil7UWJJDXrP2tukGn0pG2BiB3mOZCf0UvFa\n5XkYS0+tJD2HPM4gb17bM5lqZ73UaNtsYl0Hsbn0XhrM1pUYS2YFo03Ri8lrgGw012xec5w/s1/c\nrx97OUgTQFBrRo1nqvOXat0ZqcZf0kan6zfVw0zecs79MPD4449rn332kSTdfPPNkhpdka/9xYsX\nS2rYG+urzAqZVXGWxZ133lmS9JrXvKbnr/vrbIjf/OY3JUknnHCCpIZVMvtkvZW1bNZh+Z7sddms\njX/3/mb43vOe90hqmDHbjTMX2i58DVi7ZgZOaiJdvI3bboaL9cO+9rWvSWqyHlq7ddlll/W0xXo2\nM1IHHnigpGbsrevzGHk725qvN0a+eGzcPmbWtBbNDJ+3d1ZHR/w4q6TPszGwu2vXro3rFO8XjN5K\nus8UKZCitJL+NbHhbEeKEPGayPu4v/f2rKXXT9fK38j2kR3kepmiW7jOsg/pmTNFEqVcAcwKyRqg\nHCs+3/G+Mui5oJiyQqFQKBQKhUKhUBgiZowpGxsb676dp8rZiY3hmzGz1RlJu0WmjW/c6Y081ZhI\nb9psD9+sk4e0rdXhW7k/2yPht2zGFHt7b/fa175WUjNW9ji5ra53Ys+ZY73p9eXbPzPP0EtBVoX7\nM2Nl0jvRuzCsrGCrV6+e4pWj1oOZ+9hW9pl2lirZpzpmKfsb7ZPx3mSfBtUSIxPM79tIdVXokUtM\nFtuUYt55TdJumIUqMXfUSNEDy2yD7rPPw2uYczdMT26n04maTn4elKHzhWZjTN5LrvnpeImlZR0z\nepSTDoxasva1SfaWNXaSRpgMd4rAoA6D+rykIUuZK+lx5nqQNBEpEyXX+GFGJWy77bZd5stMl+fB\n0SDWVjnbopkzM17ut7ViZnM8bl/96lclNZkJna3R8+HtfV4zXd7O42W2yvdQt89MnTMW+jjHH3+8\nJGnp0qWSpEMOOURSM9+OjnE/nOnw6KOPltRrs2TjzFxdfvnlkhpbsc7NGi+PgRkrt9ksnPvuMb7/\n/vslNdozj7nrl/k8Dz/8sKSGtbz66qslNVox6wP9u7Vot99+u6RmrlyTzZksfRzXdPN5zR762mqz\niDONTqfTVy/U/jwISV/F9c7gc5bPn+p3UufK+2HK8Ey2KeneuebwGb69L/uQakkmDXvK2GukSAVq\nfJM+nPdCPpMwomLQes7ztiOU1sWWFVNWKBQKhUKhUCgUCkPEjDFlIyMjU7QsjCkdpDuh15r6kOQx\nTJngUj2ClLWFb+hk0FL2l/YY9OtfGz6WPVn2MrBOGVk699lj5DFxzDa9Et7O3jnH6Q/Kcke2JdXQ\n8nGoEeHYUTNEhjDVXZtJrC/zRLaSHhgyqvS8p0xy9KLR05NqQxn0sA/K3pYy5NGG2p6qlLWTOjiD\nY8prjV6olOk0rQEpIx7PxzkYdG1TM8E5a69NzOo3U5icnIz1b5INsa2p3g69iGR/0zwmnRY9uymD\nKD3DzCqWspel47XBDI2pZhojK1KERdJAJB1Iuv9R/8GxTprRxMRzTnz+9a2f81LimWee6TJG1l5Z\nZ7TrrrtKalgeM1JmX1xPzP3gvH3jG9+Q1NzjrKv23yOPPFJSYwfWWXnczDp5/M0euR0ps6jb5ygV\nM2iMevF2u+22m6SGmbvwwgslNZkNJelb3/qWpIZh8pjZdk455ZSetvv+bobN+jVnTfSYmqGyRo2M\nh9vgjJb+7P3vu+8+SQ1D5kyS1gm63e77ggULej67npnnxBk1bftm6lhrblgRNNLz85ciCfqxI1Jm\n3w1/z/wGZGuS9p7aMY4P1xCDz3tcP8m6M6rA8Hy2j+/r0r+le26KfOPzUsqWzmgMroN85kwRBOme\nn7S7fJ9J2rL1zXZbTFmhUCgUCoVCoVAoDBEzxpRNTk7G2Hh6DL0dY0yp56A3m95cMgaM46THcFB2\nyBQnzCxbfLNnf1JMbbuN1FLYM+R97H2jTo9aL3sHrRljHLu3p8eNnjJ6UjgWjFX29kknkTJUJg3R\nsLDZZptNsVMyZPT8MCsPvfyse2GQBaLXi1pKev/pORqUJTJlM+X31Mb0Y3j9G/elFytlnGOb6Y0i\nY2zYfundItuQ2AQyspxLMi/cP2XNGmYmu7lz58YMewaZSNoKbTF5JWnD1PiROed5UpZNRi8kjQRr\n+KVMvlzb231K9QXJqlG/y4gK2hxZyJSNcZCt0iZTrSLOSdJY8/7WXg+GlTH02muv7bIk1km5v85+\neOqpp0qSVq5cKalhqswGWWe1YsUKSY1OyuyR2RazMtaYOROg58n3VuqtXWvL83LBBRdIahgA185y\nLS9rx6zvdkbEL37xi5Kk+fPnS2q0a2bkrJ9yf3zvl6RddtlFkvTggw9KamqeWd9mPZ61Xnfeeaek\nJvOkmSbr4sxYmZW0BsxtsrbLNuLzuY3OSOn2mLUkY+KxcaZMP5e4PY7ocZZFM29kI72d22ebGQba\n2l1ec1xfeS+nLpxrDdcMMlN8dqX+lGsbn1X43EU2J2nUfH6fj+s892uDeQl4b0j1XhOjlvRyiV1M\nmlnewxl1w2cE3uNSRs3E1E1MTKyT4S2mrFAoFAqFQqFQKBSGiDmdVBhhmvHcc89137LJHPGNkoxa\n0rTQi06va6rZZfCNOHl9kzeD3ll6G8gWcaj7MW/2HLFmib1t1Gi4TWZnHJ/OmGR7ysyIuS3+3p4t\n/2VfjKQ/SGxSimFO2dno+aG2ZaaxZs2a6LFhDPIL9U4lFiJpzFJWIoP2SW9MyqyUspNSB0RvYHtO\n6bljm3ltG8x0R2YkZVJKWRLp1Uo6HoN1WcjAGLRrspX0EI6Ojg4tm93q1aun6B85DmTijcQ4Gsmm\n6K3k+pQyU9HTmnS4iRXmOkG98LpYXs4dvde8v/D65LnY11Q/kB5Yg7/TO50yoPE8BtdgrrVcm9vZ\n5GYak5OT3Tl05j9nITzqqKMkNUyXM+6Z0XLNrXe/+92SmnulGa4ttthCUnNvM0vjTH7OxmhGyuNk\nRs7j5PPusMMOkprxfeyxxyQ18+fvv/71r/cc38czq+Xtt9tuO0lNpkTrv17/+tdL6r33eY7dJ9uw\nGSjPn8fGfbZOzufaZpttJDUso/t+zz33SGpsxMcxq2dNmY9nNvHSSy+V1DBdnktq2Mwe+jnF27su\nmRm+Qw89VJJ09913S2oYwCOOOEJSw5iNjY1pp5120jAwNjY2JYqLrAifa5KW2eD6x2eKFO3F83Kd\nJFvE86cIF65BKVKF7W4/iyRNbtLS8r0gRS6k5/z0XJOQxoTrKvuR6rhyfeXxK/tioVAoFAqFQqFQ\nKGzEWC+m7KyzztKdd96pyclJnXTSSXr729+uM844Q5OTk9pqq630sY99bKD2Z3x8fIp2LIGMBONx\nuV3SraRsJ0l7xjdqMgSD6skkJo5eaWbva+9n5sqeMHpj3QZ7AZk1kTVbyIqYUbPHw+e2x8PH5dgm\njzu9H4M0IPxM1pMe75S1bRCmw2bdv6R9ZNuYWYljQaYrxT4bPA81L0nHl+aADACvM85pYlv6eYjo\nPaImiX2i9ytlvGO8N1ntVKspeQ5TfS2DHknGjad299OLvlB2d7psdvXq1VOiD6gNSJoBjqeR4veT\n/jDpZslKpcxYvBYSG5XYrEH17trHNHj/oNaB2/Pcqa5luu8lHQivHfY11cVM2VepSU22MDEx8YKZ\nsumy2XPPPbdbl8usi2tUWad08sknS5LuuusuSQ1bYobJ9zazOf5stuWYY46RJH35y1+WJL3vfe/r\nOZ4zBppdcnt8PGeBtGbNGQudWdA6K8/LJZdcIqlhmfzXjJ9ZKx/POi9r4awf8zOB1NTzMgNlxspM\nl/V3HjPDNmCdmsfGNuO2ue8eE7N1tjnvz2ch25yZNs/dzTffLEl6/PHHe/psduuaa67p2d5M2V57\n7SWpyTJ56623SmqYNWd93GabbbrZMNcX02WzY2NjU9bNQbVG+UzLZ0NGhaXnKN4X0zXPtWdQ1A77\nY3BNS8/U/Z6lU9byQTVKB41diiji+0KKbkn3uMRipuzpnIsUUdSek3U9GwxcgVetWqUHHnhAp512\nmp555hl98pOf1IIFC3TsscfqoIMO0tlnn60rr7yyu+AVCsNG2WxhtqFstjDbUDZbmG0omy1s7Bj4\nUrbHHnt0PURbbLGFxsbGdPvtt+tXfuVXJD1fl+KrX/3qQCMeHR2NtQ4Sc8Y35ZStJWnCUo0Geh3I\neKSsdTw/vfVJn5Hiblmbq30MM14GY1DNkFEX4GPRC8qaKYzPpWeE+gojeYHZTrI3nJtUV8hIdTzW\nB9Nls9Lz48sMb/TsGIkJM2gv9AjxuElzSW8UGTV6iFLWUIIeJrIVZAbaniSyb2TlUvbN5E1K+kwf\nx55eerN4zRrJy5Y8g9S1co4M6mQZP76+mE6bnTNnzpTrlvNATScZTM7n+uqheD2n8yavKUH7IKtk\nMAvn+tSESVpRjk3SDtBG2LZUi4/XAPUaSeOQ9JVGYieZsY3bsb/ri+m02QULFnQZoQMPPFBSk8XQ\n43/55ZdLalgVj4/ZFrMwzgTIa/K2226T1DBe7r/ZJm/n45ixMzvke6fHy0yYNWZm1FxnzHXJnCnQ\n92D/9Xy4tpfb60yIZsradrfHHntIaubWzJl1a17/PIa+B5hpsp7Nffe5r7rqKknN2Jqtc9bEVatW\nSZK+9KUvSWqYLo+V587Mlpk6j5lt2N9b03bsscdKamqyeey8nefYzJl1hm6327W+mE6bbWdm5jWU\n1ldGxZC5IuvC57jE3ic9Oe9rZHm4hvG5LzF17F+qvdjel+tLigIj68YM49TRsc9GqlVKhi7dowYx\nZURiHbn/oOexgavwyMhId1G/4oortPfee2tsbKzbgC233LIbRlAobAwomy3MNpTNFmYbymYLsw1l\ns4WNHesdQL5y5UpdccUV+vSnP62Pf/zjL/hEk5OTU96MUzZGehJTdsNBmW/oMeSbLLdzO8g28TjU\nsKVaONSi0WPg/dsZbbwgJF1B8iyTxUheCHobUnaypM1I2XzopUh6ipQpkzopeto3BC/WZt1ueoHI\n3A7Ktug+sW6d4bFOTCs1jKmOR8rklOyUmZ08N8lTxfa2z5d0cckbRY8gWUEyHWSnyUYmFpLsQKoj\nkzK+cqzIglBz1p6bDcm+OB02286iR88t10Cyu9SKcTzIwqbadby+E9tkpDU1MaRJT2WkGmRt8Fzp\neqJtUENGW+R9jMdLmWUTG0tvPPWNKWsjdZRpu+TJXl9Mh83OmTNH5513nqQmCsSaL7I8ZqZcM8us\ni1kbsyq+l5pNMXPFWp1mxD7wgQ9IauqXmfXxvJP5uv7663v64PY5GyTH19EvtmHbi783O2R9GO/B\nknTDDTdIamqrHXbYYZIaVtFz6CzOHqODDjqo55j+3no7Z6zceeedJTWsohk0991MndtqbZv7YMbM\nWjTr5Ky383Xq87oemY9rbZvn3Do/M2SLFy+W1Myd5/6FYjpsdu3atVO0+0kHxee3lG2abHuqnZiy\n4FIPzufBpIPn+p+0/gbv42T52+0blAvC6JfVud1Gj1nS2qdMysyyy3Wbz8AGn5HZfoPP2oxQ4r12\n0Dq7XqvwLbfcovPOO0+f+tSn9OpXv1qbb75590RPPPFENy1qobCxoGy2MNtQNluYbSibLcw2lM0W\nNmYMpCGeffZZnXXWWfq93/u9rhdkwYIFWr58uQ499FAtX758vbLfdDqdKV6DFFfLt/qUeYYsUorH\nTXGxfGPlWz/1UUlHlbQJ6Q2atZTab+hkBPp54PuNTWIk6Imht5VMAT3lZMrIEtHbQA83PTj0dPP4\nnBN67NcH02Wz0vPjmSq1pzlJLBDZRXp6Uhx3yhKU2BDqoFIWN3r4k+efc0K2pf1/ZuNKrGDS3Xl/\n26GzgXH+U52PxCLSM0nPpkHWnddP8vKltWp9MZ02Ozo6Gtl76iMH6RbJDtPWqCGjjSVv5iA2KLFG\nHGd6lNnOdM9oH4NzxbU3MUwc09RWep95rSQ20dsn9jaNSbpeB2UFG1Q/h5hOm/3Rj37UZWl22203\nSU1tKrMqZnv8vZksZz80i+RsjNaK+a/rjJ111lmSmrpmZpVcV8zjbdbG4+Tje7yOO+44SQ2Ls/vu\nu0uamj3xe9/7nqSGhTIT6HlwxkHrwv7jP/5DUqOha7NBp556qqRmrp0l0RovM1rug8fOY2Db8/dm\nF3ndOfuz12kzX+6D4f2s43NmyUWLFvW008yaWUy/+Fx99dWSpKefflpSw4CZCeSzlGvLJcZ8EKbT\nZqUcaZA08VwPuQaleo3UW/H5KmVv5PU8KKOsj2978XnMAtt+WE/XWbv7ZRXkc7/r+qWalgYjd2gL\njP5i5AH17ew7n3va62C/9vCZOWngUk1QI2nSjIEvZdddd52eeeYZ/eVf/mX3u9/4jd/Q5z//eV12\n2WXaZpttuhR6obAxoGy2MNtQNluYbSibLcw2lM0WNnasV52y6UDbY843Tb/Z0uvBWP5Ud2CQviDV\n2CEz5/PZC8MaPPRADmJI6MVItXna7edbNceGTAM9LvREk/3gWz37Rm9C8ljTS5z6mjw5PD/bxYya\nL7Tm03ShnX2RY5KynbGPZGmSBydlaBpUvyi1h0xv0lclNiXVMunHMqX6KZxHXoNkl1N9MR6HfaNX\ni4xv0iaSlaC9psxNZCfovZszZ86L0kO+GKxZs2aKbRhc0+glTPVzEgOV9Fac55TVK61DgzzDBu3N\noBeV/Wsj1afkdcbrN0ULJBY21foxK2EtkVmHQRkxUwbLtA7R08yxGB8ff0FM2XTinHPO6TJIhuuE\nOeOfNV+33HKLpIbJMqNkJs0skMfVrAyzuNn778+33367pOeZk/Z+rrHl9pmpc5ZEMy7WRZntMTvk\n+TBz5vO4/R5zH886Kuu12vc+2/H9998vqdGG+XtnFjQ7t//++0tqGKmf/dmfldTo4WwbzgjprINm\nHZYuXSpJOvTQQyU1tmfN2T777COpqUdmbZnZTjNg7oP7uO+++0pqmLeLLrpIUsOk+fweO/fXDI1Z\n0k033VTbb7+9hoF2DdPE9vBZk2yLwftYitBI2nyuTVz/0vMVv3c/vBa1+yo1z8a8n/u8vhbaz/s+\ntq833gv63Tvbf8mApWcKrsdcD8nMMdojtSNF9VBvNyiiaH1rmG6YsrdQKBQKhUKhUCgUCtOCGXPl\njoyMxExrrJlArzvfqKnNISs0KCOOQa9DYomSRsxIOhWyRqnid/sNm56MVPuG+oOkq+P+9NSw79Qz\npT6QtWRtK7ePOr0UM81+Jc/TTGNkZCRWjOdYkaHl2NCu6MUi49ZuQ/uvwdjlpGlJXjhqHXkc2iL3\nb+u8bEcpayG9TEnLaJARM3iNG2wjs0WlWk8cMzIrtF/OGRm5NtM0LKZsYmJiytzS85wYKmo46QWk\nDST9b8p0y+gIg/PFtTaxU5wHrjOJyWyPBZmxxBqm7KoGveJksKnncx/slTbLQAaLXux0DfC+muqP\n8Xfq8oaBLbfcsqvRssbKmfkOPvhgSY1uxZoUM2Zmd6wJc20te+2dDZGZArfddltJz+vZpEaLZo3a\nu971LkmNjumQQw6R1DBmZnk8bmbUDGd/dM0wt9d25BpetkkzbG6X9V6uRSY1NdPMwjkTpdlVf+9s\nh+6r64GZQXO2RevgvN0555wjqWEl3XbPhcfoiCOO6Gmzx9p/zTJ6+/PPP1+S9PM///OSmhpvXges\nHTab4mvCtul+ur1m1qwLHAbWrFkTo0z6ZdaWpq6bXJdTxAiflxILY3CN4feJpeJ90nZCRjW1i8xh\n+5ieU96rGa2Snk051nxP4DqdsrGzXXzPSNkWk86a6zGfWdL7SUIxZYVCoVAoFAqFQqEwRMyYpmz1\n6tVTvMyp5ha9vMkbYGpWuJ8AACAASURBVJBhSN7gfrGd7Xakmjv0CqR6U0bSP/B49Ky2z82+U4ND\nTwff5lONGrYx1aphDLR/p/4isYJpbsnGcIxSBrJhsQ7S1BjmpK+jhiNpU+jxTp4jsp/0fCeWgt+T\nYU46nJSdlDbRTw9Ez1+qk0K7NZL2iXabNI5G0tml2kzJa0X2kPpTXgf9arttaN2nF4v2NcX1gd7H\nxLKmrIopU25qQ9I3pnWH45t0AGSTOJ/2wLP9bTtLbCv7xDbbtpPmkrbAtZxMudkFj7kZFNYzS+sB\nbTV5vbk+9WN3h6XdfeaZZ7r9MHPlz3fccYekhrny+LuumTMOmr3xvDgzoVke18yy3skMlOfDzJR/\nv/POO3u+d7vMNjlD3aOPPipJeu973yupGX9r25yd8aijjpLUMGZmHTyfb3/72yWpq5Fyu9vFjK1L\n877WbJmRsu34r5kOb+85N/Pkvn/729+W1Gi9vL1rth1//PGSpB/+8IeSGsbOxzMLYvu54IILJDUs\npq8pj53Pb32eNW4nnXSSpIbdNEtqJu/ee++V1GjKtttuu652cKYxOTk5hTVJmrL0fMW6YbxGuS6n\n5zKuWWTrBz1b8Ps3v/nNkqbWn/P5vCYxG6N/N6vd3tdjYTY35XpgBsm0fhlkJfksOkiXzGcTjimf\nQVJdZTJv6Tlv7dq168wmXkxZoVAoFAqFQqFQKAwRM8aUdTqdKXqjpCNi7CU1N6k+TKoHljILJm9t\neuOlBzLVq+KbtcE39H5eSWby4jEHZdVJ9TLoOUm1FLhf8rD3Y/n6tYvgHJK1YT+ZEXOmsXbt2ikZ\nIJnhqJ9eRZo6ZgTtjfsnFoL2RRaBXrdBLCgZuORZcv8ZJ98+Z/Lk0avvY5DJ4TWatE281gexmDyv\nQdaCY8Ex5PVBe223v1+mv5nA6tWrB2Zlpbcx6YsSk0ibT/V3aKspc2Bi6pLGgu0gc5eY0fY1RVvr\nx3b2azvZOmpGeb9JdkAbt7fZzAjvKynLItnoVGOS17fRPs4LqQc5nXjggQe6c+3MftZWuQYXNVdm\ngzxeZqScKdAsjL3+7qfXMZ/PmjFe42aFzN64/hjv0da4OZui4bG85557JDW6L+umzBY5QyLXGjOE\n73jHO7rH5LrqbIbWkPk+6TY506MZMH92HTCPqZkv24bHzuwgmRLbqlkqM2MeA7Mh/mzW0Xo/M2tu\n55VXXimpseH3vOc9kpo5MFvpMXH7n3322Z46bjOJTqczZQ1Ja0O6tzIiiJr/pOlNz6xJq8Z10GBN\nU2p+aW+eN197tgM+w/fLvuhje19jUMRc0ran5yOOEZ9tqZseFD3D9lEzxveYQet2p9NZ57NBMWWF\nQqFQKBQKhUKhMETMGFMmTY25T15UfmaMaNLKUEdAT2TyytLTyDdnehxTRhuC3lt6wvoxa/RQM9Md\ns46lOjzsu0Evn0FvKj3S1CHQQ83tWdeCXgvOffIouT/D0ueMjY1NYUOS7o8eHLKIKXY51TFL+p2k\nx2M7memS8eupDiBth1q0ftcv46upCWLG1EF6zpTplDVLyOSmmiO0p+SBpCaJ29Fbxzj4Nrs4LKas\nDV6fiRGj5oDx9BzntKZ5PJIHOTFgZC+4VqfMuInRTO1pr92phlDSFiSNgpHaRo8utVzO5ufvzaSk\njJZJ52dbJUOXdCT9mLdhZWB87rnnuvqoW2+9VZJ0+OGHS2rGzxqr5cuXS2oyCrr91k+5ppXZHWu+\nnLnvP//zPyVJb33rWyU1bJCPZ82X2aO3vOUtkhrb+eY3vymp0XGtWrVKUsPYnXjiiZIaZo06KvfT\n7TKLZXbJ7JMZwfY6YhtZsWJFTxvMYJj5subKrITvwxdeeGHPfmbYbrrpJklNtkXr4axzs+1ceuml\nkhomy7q8Aw44QJJ0xRVX9PTVLKEzVbrv++23X8+Y+XuP2eLFiyU1c24b8Jw4W+OTTz7Z7cNMY3x8\nPGb449rC+0Ri8FM9R4LPEowuIxPn9TXp2wnbk23R4224P35G8JrVL+rHbJrb6iyliflPumHeE9Iz\nMu85HFuOVYokSvVhU5QIdfQpimZkZGSdORKKKSsUCoVCoVAoFAqFIWLGUtqNj49HD52R9B3MdMbs\nLCkjIT2FqU5BqjPgzz6/vQ30midtW9LKkWlre1ypb2C2G9ZCS1l6+D3HkG/q9LBwrMhOEpxb1oNK\nMdX0dnB/z92wtA6dTidmTUyZ7JLnnfaS6pG1z90+DtkmeoZoM/S6GW43rxsflyxU0qi1209Gg31P\nWajYZzIitI/EkBlkdpLOz+C1z3an2m5sB7WSw8wWOjExEb2PKRrBSOuGx4XXLbcnI+VxYntSBADt\nJzF01E6QaU397ud5TuxQiuRI7CKP0489bbeVupGklaAN0oNMbzzvd2QhU1bgpIWeCYyPj+uaa66R\n1NS4MsPkTG7WEZ1wwgmSmvkw++OaVfbMW2vkz8uWLZPUMHBm0syweZwWLFggqWGXPF7ORNjWeEkN\nK+V2ut3+3sd1v2iD1lUxc6KzSrbrn9kWzN45A6TZO2duNGNlBsOMh68jX2/WbC1atEiS9KUvfUlS\nM5Y/+MEPJDWMmMfONuZsiLYds4+2UdeGc1/cd2vbnOnSfXa2RdvCXnvt1TN25557rqSGjRxmNMKc\nOXNi9Ao1XazjadsaVKPXSFp8suD8PKgOGVkp//7617++53eun2nNMqPWvq/7O18HvAekqIuU6Ts9\nJ/FekGqpJXaQz6BsD3XzKRqM9yhGpw2qYVpMWaFQKBQKhUKhUCgMETOmKVuzZs0UDzszpqU3aINs\nDL0RZJGSl5VaHyNltDEGeb/JJqVsXXwT75cRjB7qQdl0UoYtsn4pS1nqc5oztoMe7pRpM9WKSBXq\nyZDMNNpMCxkpxnWTUeKYcU7IZFGjZqS5MpKuhh79VOfM8JzR+5hY0rbHiXHVBuOuOQapbR47232K\nmU9jxz6mrJD0ZCZGJ7HfZDHabMmw2N12TcjE7lKPlNYq2gTHMc0frwnG2XP9YPQDz8/jGCmjYNJD\ntm2WDFLSjPK6Y93ClNUr2ao/u21mdLy/9TX0QiebZd+oH+FckeFvr/lJH/1SY3JyUg8//LCkZpyc\nrdBskLVfZmPM0pg1shbN82RdkzP2mV0xQ2btmTMNch7N0pgBM6NmFmePPfaQNFUTbObL31s75iyS\nZp+scTMT5nlw+7xdO/Owsxi6Jpo1WdaS+ZyuM+Z93Tcf02PqsTaT5bZ7rH0cj6UZK9qctWMeS7OJ\nZuj8vZkzj5XHxteAx9YaNDN/zu74gQ98QFKjbdtll1206667ahjodDpTold4/+B9g/fklG2bLAy3\nS/cnI2m10zMqmTbbA58fbWdm0syCkaFrr9M+l39z7bMULZMYshSFw+cxPuMmLRqjXvisQV18evZN\n+r6UlX2Q3ryYskKhUCgUCoVCoVAYImZM+NCu6eC/9CgOysyXYt5TxppUTyDVekian1SLJ7E4KStM\n0j+0PQNkPehZZr0lerDJJpIlNFKWR54v1VrgZ+odqOlJ+kHW1qFXYdgZ7DqdzhTPC8GsnGRp6BHi\n9vRaDdLNUBNGD1LStjCjHhnjdL2k2lbtOU1sgMFrgJ61xB4O0jj2a0s/JPYv2T/XqJStkQxRWntm\nGmTSE7OeNJ2D6rWlNdNIOkieh0wcPbaDohNSpkHqdvvVEiSLRo8nbYqRHWTa/JnnZlQA1zjbCjUX\nydPL+xPXi5R1jMwe+zWsDLfS8yzX97//fUlNBkBnpbQ2y5n5nKXQ9cecoe/444/v+d0MmuuXXXXV\nVZIaps0Mldkb18IyM/blL39ZUsMamB0wY2ZWycym9VGcR9um9/P6zax0bqeP6/k2oyY1DJcZLGfJ\n81+33QyGsyia1XPdsLPPPluSdNhhh0mSvvGNb0hqtGTOQGnGym2zLVl352yIZvd8Hl8T7vPVV1/d\n0z5nf/R+X/va1yQ1663b73aYqfP+73rXuyQ1ddqGgTVr1kypdcVIAn9O2YGTPp37897P9ZX3LdtU\nyv7I9d3w/rYnXyO2ac+nGTPPH7Mz9jtmqt9FZsxgm1MkkJE0wNyebGPKss7tyYiTmeOzCtnLftE0\n/VBMWaFQKBQKhUKhUCgMETPGlPVjuZi1ih5ExugnJit5IslE8LzUXRhJX8UMcsxylTyNbDc9rm0v\nPt/eeW5qywbVxfAY0GNNVobaNXoXBmVbS14Jg5oQanMMMiWJ/ZkpjI+PT6lzlyq+U8uRPCNkWFPW\nIH/fbos0lWFOukC2d1DdIrITjI2ml63dr1S7I9kVrxWOadIw0t5ShsnEzNL+OKZpjsm0UXfULwPm\nsGx2ZGQksjzMIDXIS5hqs3g+03Wd1lieh595HH7PMU0eakY1cJ1sf8frJmkDUnbDtF+qf8nPzpDH\n+1+6T1AXmHR5nBsyeUnTMQzsuuuu3f657pczAlqvZAbNzJQzB7rOl2Fd0pFHHilJOumkkyRNrXnl\ncXbmP9v2ypUrJUn777+/pEa7ZibMLIL1WbQt66A8n9Zh3XzzzT3td79cj8wwA+jjWCsnNcyE/7qv\nrrHmtphZMltoZs31yKzhMitn7Zeva2uZ+Gx2zDHHSGpqxRmsi+YxfsMb3tAzBp5DZ1/0HJjldPsv\nuugiSY0NH3rooZIa9tTZJq1VGxZSdmkzRymKhfcvMmG8P6VrPWnCyDIZiQVK/WI9MjOV6RnF8+01\nrQ1fN0nfxnOnZwmyhYbXNUbdGIwMGvQMwozDzCLJ9Zn3HI51O1tvZV8sFAqFQqFQKBQKhY0UM5Z9\ncXJyMr7F0wvgz6yFwHhcZlfkceg1Zd0A6p/oVU3eBOpP+D2zrtGTmjK59TvXoLpL9BynuNlUmyHp\n5+iBpoc9MWRkNVOfB9VDoldjWNkXO53OFE0GPSFkcWhv9KgYKUtP2p/XQcruyMxzKQsgbYpsRqrB\n1a+eEs9Fu2AcNlnsVP+Ka0FiE8nk0NNIloOsJs+XtFYcYzI0bVsZls22WcO0hnFuyRRyXAxqRFMW\nVq43tEnWL0vZN6lHSAx9qo9ocF6l7J1OWRgTw5zY2sSM8Tqyd9n7W8eRohq4ZvK+SKY+MWRkeEZG\nRobG7v7whz/seuHN7jgDoHVDbq/1SNaAuX/nnXeepCYz4de//nVJjY7KmjCPk1kmgzWzfB7rqVin\n1Bo4z5sZMDNsZnXMtPm4vNc5K6O/N1PmLHXOuCg12RYPOeQQSc36d8MNN0hSNxOhNT/+3efwXzNk\nZsR8Dl+n1rtZn3fAAQdIarIgup6Y++TtzV46c6XZBTN1zoTp33nvsW37GnD7rWEzQ7d48WJJ0uWX\nX97Vwc002npzPmsmBoz3Gd6fBuUA4Po86PnOSJEeKeKDNfWok3U7rDEjw2r7k6bWyPN1zufiQZpY\nPvsygzAjeshO8rk/RRQk3TXXXyNlgiaz1j7/umpCFlNWKBQKhUKhUCgUCkPEjGnK5syZE5mt5G3g\nmy7Zk1SjIcWeMuY0ZaChziFlUyF8HlY1H8SstN+a2VfqFIzEJLA+BbPG8W0/6fro9WWWHyMxcknv\nRA8P+8H2sx0zjX6ZMekhpwedY2DQLunlJ2tkT2vKZOe4bcdqMwOSs4Y57p7ts5fL7beXy/1KjLK/\nd/ukxvvV/q69rdvmY7vNZMDcBrfZHjt7ocn6eczsmWMMPGs+JebOntx1aZCkxh65drifvNaHgU02\n2WQKU8lslknLRd0s643xM2041cYiG5y0o9Q1pgylKX7fSPV82kxQinjgdUsvsZF0vWksU50wf/a1\nkDzDtDlqG7gOcX/aPm1h9erVQ2N3N910024mP9egMmO2zz77SGr669pWXiPMeO25554935vdocbE\n2jIzWq6Hdskll0hqMg66PdZ+eY0wE3fttddKaubN7JXHc+nSpZIazZht+J3vfKekZv6vu+46Sc2a\n6Hpt1tRZu9Zum89hhsxaL4+d2UFrt7zWuzab22JtmRm0b33rW5IaFtJtd+ZLb0ctkefETJnnwtqw\nXXbZpee4ngvfo3x/8H3EMGvoOX37298uqWFBzRwOA2NjY+udvyDdD/icw0iixPhz7SHbk7Itcr3k\neup58bMF65GZEfU8mc01fHxv1z4225QYJ4PrFRkxRprx3sTs5ny+8fFTDWCCkUQ8Dvfns0r72b6Y\nskKhUCgUCoVCoVDYSDFjTFm/jCN+W7SXIdWHSdXKWS+GHkPGejLbXarFxYxsRqpllDIUUhOUdBj9\nanExvpaMFj2/yTvK+j9kcehFTDHGnCuOOT0xZH1SJhp6PcgUDrve0yabbNI3s56U6+lxbFI9DXrM\naT9krKjDMStlr5b3d2Yuspv2lrqd9vxSe2KvGJlrXldmodrb2HOZsuZR/8LtOIZmwPy9+8y4b9aM\n8vF5DTPO22OVarelbID0UBrrG+P/UmLt2rVTbGhQ/H7y5HJtSrUbU7ZDrgfJC0mGLHl2uYYy2iLp\nO5mNtl8fuXYyyynHjhEfXJPZpsSMez9rL1gjL2X3TfVykjaU2gbeSwbVhHspMTk52W3HkiVLJDVM\n1MKFCyU1/fre974nqRkvZylMNTp9v3fGPrM2Z5xxhqRG02ed1Dve8Q5JDUPmLI7nn3++pGZNsgbN\ndc+8Hvo8xx13XE8fzch5Hs2QuebWlVdeKUk68cQTJTXMndsnNYyUsyiaDXQdMB/LercTTjih59hm\nnpzh0rbv47lPPo+1XIx0cJ/NoPmv58S2eMopp0iS7rrrLknNvcrrrpk1z63Py8yTbpdZQzN4g+pT\nvpSYO3fulGeBVN/R4DXJSKFUm9TXLCOPUrZbMnd8HuPxuU46QoVRX7Z9RrAwYqR9X/ScM0IoPZvy\nWTQ92/L7FE1mMJpskGaYc8e54DMHoz64P9fhhGLKCoVCoVAoFAqFQmGImLHsixMTEzGDlkEvrME3\nV3qjk26A+yWNV6pnkDyTbn/SX6TzsN/9tAOpvgQ9KynbGccieRvopSAjRi9wYuhS7SvOddqOrCcZ\ns6SpmymsWbNmCsvDWOV29rL297STxISlTHXuM9lC6gFT7LW/d3y3mTF7M9tMV3t/e3KoS2TMdrvd\n1kMYZsy8jT1rZNI4Rh47b+82k0Ej4+X9GPNO1pBaM5+X50n2RxYkZcabM2fOOuPGX0qsXbu22x6P\nE22IntVBWRoN2izXcLItqY4OGdNU04/bcz1juzl/68p0S1aOa2pa8+idZlvYd16PXAeSBoLMXD8b\na2/P83Kd4drK/UZHR4e2zj7wwAPdLItmqnxNOsOfM/a53WZnWGvLeirPjxku4xd+4RckSbfddpuk\nhp2xTumXfumXJDXj5wyE8+bNk9SsTc5YaJ0TWXfrt3wNmu0xc+DjW5dz1VVXSZLe//73S5Luvvtu\nSU0mQqlhrvyb110yMGY0HB1BLZIzQppp81has2abvP766yVJ++23n6Spz0oXX3yxJOmII46Q1Kwz\n/t5zYXbSfTzssMN6+m5tmZkw99nt4XOO/26xxRZT7j0zhdWrV8cMgHye4jpEkGnimsG1JmVmTizP\noNqmXPPcbuuwbMOOVHH/mOm13/l9DG9Ldo3RD2Sakm475YZgZBPvw4yK4fMZ10BGz3CMOAZsP59t\nUjZso5iyQqFQKBQKhUKhUBgiZpQpS4wSYzvp5Ux1m1Jsf6q1QvaIb/AG34CNFHvKbCtmFsgCsB2M\ngW//xrFJWrHEvqWsOsmbS48OvQn0bDMTINud2slaDgQ9PGRnZhrPPffcFP1Kyl6WsoES3J+ebDJc\nHmt7gu1dtGeWjJfHyr97TBkfzuuFugEfh5n23J52Bi4fw+e0N5hsG73+nFdfc+maZ6ZIZp6krsbb\nUU/jdrF2ENlO1iNLtef6efmGxZSNj49HxpkMV8p4lfSuSZvGdYLjaHB9IFPGuojM5pjY5rTOpHWt\nvU2KPmBbUgbaVBMv1dvhWPia8WdnmmP0A5HuEdS3MHMmmbR2hrdhZV+87rrr9KY3vUlSc01bU+as\nhu6fma1vf/vbktStU+XMganGnvfz8b2dMwJ63q2Dsg7L66vrllkH9cY3vlFSw+qYnTejZrbImjAz\nbtZ9Wd/l+bCGzOdxf9sZ7nbffXdJzZxaS+Z5sxbLY2d9nrcnO+vrZuXKlT2fnXnSjJuzODrSwYyd\n58xj4TG1Fozsg7P5ue8+7r777iupYQDNYppBI5vsfmy11VZdBnWm0b7/pecxI9UwTAzWoBq6RooU\noK6d5+W1wePwmvBxbeNmYG0frOHXT+vnY3ifFKWVtL2MQDJSJFLKjMl12RgU/cH1ONWf7VfHtd2u\n8fHxdT7PFlNWKBQKhUKhUCgUCkNEvZQVCoVCoVAoFAqFwhAxozlwB4XOMH02KVUmlzBSkgjSmf6c\nUuOTemXoUirOyQLODPcalKwiFSdtH9tIqVcHic4TrZwK5qVUriz+zOOlkJuUXIUhfyk8bFjYZJNN\nptghE7ykJCsM6SJYRJGhWj6PQwEdxmKhOZM1OKTAAnnbo8MFKERnOCPDHW2X3t+hJG6Pwynb+xje\nlteI++oQIoZF+Nr07+4zQwK8H9PtsiC2r0WPCUNE2ed+BXXbnyk2Zmgb165hYHR0NIbmJVtM5R5S\n0poULs3vDYqdmayJgnmKpAeVjWDpApb66IcUrsK2GAxHYUhSSn3PMUohsly7GbJlpDDpNLcMXWXY\nPJMwDQPz58+fUpDW4+NU8g51cyIMhwXymnaxaa8hTi5x/PHHS2r67+8dbuhx+MIXvtBzPhdAdlij\nk1Y4NNrhjQ5j9Lw5bbu3O/bYYyVJy5Yt62m3j+ekFk757xBBhz1K0iOPPCKpSbjgNP4O5fzRj34k\nqSkK7bFjuLj76gQfTlbi790GhzH6evL6vOuuu0pqwhQd/ugEHgwj9zrt87iw9t577y2pSeHv0FCH\nXfoe42vDc+E5dP+HgZGRkSnhfelZlM+YTJThcU/PEHym5P02JWRjghde4ynphY/jeTN8v2TSMD67\nt9dGPp+kZ1A+6/L52UiJmLhfSlLF0M5B5QxS2SYmd0lhjQwjHyRrKKasUCgUCoVCoVAoFIaIGUv0\nMTk5OdCrkNJPJ+9qYrTo+WNBPf6ekliQUUtv2PTiMpkFvSH0CLSZMiYMSH1iIgR68o3kTWBfUlHC\n5Mkhy5NSUbNfTDIxSMzOfsw0Jicnp6RYTaUSWNyZadhpV8kDxCQV9vjSvsge+bhksizOZvp4pru1\nJ4uJRVIx2nYSBxaU9r72qPncbqvZN4OeWP/OPrrNTtDhtpiZc18tKKfd+7hk6tzuJMjmdWakAuBz\n5swZWnKa1atXx1TMZM645qZyCwYZ71RCIzF0ZKdS0qSUQIXrFdf2VKx+XUW9U+HqlMa6X3r99n4J\nKY2/kzP4OjRjlBixZIvpVs6x5RwMO5mSJN1www3d5A8eD1/jZrTe9773SWoSaBxzzDGSmrk36+Ok\nE14r7rvvPkkNm3PSSSdJasbBx3vPe94jSbrlllskNQk5nKrfjNpf//VfS2qSUyxatKhnPyfj8Hg7\nZf8OO+wgqSku/c53vlNSw3I5wYcTvfivmTSpSRlvJstjZObqO9/5jiTpve99r6SpKe3N/u20006S\nmuQnTtd/4403SmquCSbR8HruhBx77rlnT7ucbOXnfu7nJDU2akbtbW97W0/fzJxdc801kqQDDzxQ\nkrRixQpJDXPmlPu+PzjByatf/eouqzbTWLNmzZRnwMTa8B6akgB5PUvPnEwKRtY9JS1K6zXvr/7e\n92//JRtNBpTrtZOUSc1c+x7vdY73oEGvIhxrPmenpCepTEsqDZLYRUZfpJJXjJzrdy9MpRGk9Qxf\nHB8f12/91m/p5JNP1vz583XGGWdocnJSW221lT72sY8NrbZJobAulN0WZhvKZguzDWWzhdmGstnC\nxor1Ysr+4z/+Q7feequOPfZY3XHHHdp777110EEH6eyzz9Y222zT9VitCxMTE1MYLoMphPkmypS+\nfGtnQVN6GLk/vav0PLIYHGNJ+aadUnqmQs4+P1kojpc09S3b4Ft60mqxLfT+8nd6rhnTTKRiu2Rl\nEruU+sPY5w1J1TwddtvpdKbYHTUaxiDtWNJS0q78155eji2vC4+x2R9fT2Z/qFFjqlieP9mUPVzW\ntLXnkCnv3Ud7Vln2gvbgvtirxmvHv9O75Rh3evvdHnooUxkO6zZsZ2S+klfPc5SKpb9QTJfNcm2j\nrdKWU1FSssPURDClM0sWeB7SGj+oiDjHMa1v9BwzkoAMYPtcjC5gm2jTvJ6pDUta5pTO2jbsMfM1\nkFJGpwgSsp2pqHS6T42MjEy5LtcH02Gz11xzTdcrb5bb/XbadbMt1m6ZZfG6ZybMOiNfy14HrbNy\n4WRrvvzZbJGZLTN2V1xxhSTp0EMPlSSdddZZkhpNm4tRu5g017w99tijpz22J6d9N2Pm/TwfN998\ns6SGXZKaAtdOWe4+eN7MfD388MOSmtTzXrvNmLktPOc999zTM1Zm4lgWwL/bVs2YvOUtb+n53gW0\nvd/ll1/e02fP6eLFiyVJl156qaRGf0c9vxk628q8efO6URIvBNO1zvZj3tvt5bNjeoYgg+b5YXQM\n2fZBqe0J3s9SQXpGRnHt85rltZPFpdvj4nuAI3Fsm1yHUrmkVECb6x0jkVJZKI41+5ru9XyGGJR3\nwWAk38TExDqfZweuwA899JAefPDBriDz9ttv717Y++23X/eiKhQ2JpTdFmYbymYLsw1ls4XZhrLZ\nwsaMgeGLX/jCF/ShD32o66EZGxvrvlluueWWXQ3HIKxZs6b7xklNDb3L1Af4DZM6hJRNKhXzTd4D\neiJT9i16KFm0jm/eZDYGeXH7tZFv74xvpVc0sXocw1SkkLHF/p6ZJckkuJ2Mu00Fl9lfMncc2xeK\n6bRbjgkLIJNxojeL822krI3+zKKyhs9nzzrZJGYipDfLcHvsLW0X5JSm6r58HrIf7e+of3MfbH8s\nIMmx9bmdgY1FFLSx4AAAIABJREFUKt0Ge+TsoWV2Kur7vD8LYhtck+hNS8dl7L/HekOKR0+Xzc6Z\nMyeuNYOKOrMoPJkr2zTHIekOvT89x4OK2TOrIueHRcnZjpTNtQ2ucbx+eb36XLxf8fpldjCuF0l7\nnLI7MiMltWucO7aPnl5qXX28NWvWvGBd2XTZ7I477tjNPuhxNtvi9pkhMxN2xx13SGrG3Zn/zGCZ\nlTnggAMkSV/96lclSYcffrikZj002+S1xvNhbZ91VdZrWd/k/by2mBUy42bmjlo5r7eOOLA+iteI\nNW3WxElNBknvY/2aWTozaH7hsCbLWRmpN161alXPuc0GWrPmPpoZsy1Zv3fTTTdJauaArKTH1Ayc\nj+f1m+uyC4WTybNO0HNmG1tXdtWE6bLZ8fHxyKJTR54YLj7jMtKD62Nil5Lmns++af3lc6Rt0+1n\nZAIjoNwu25fnt/2d7+n9GPp22xhZQOaLmSu5vhppnSQbyXWTkQfePmnf+EzM9XdQTglinb9eddVV\nmjdvXvdCKhRmA8puC7MNZbOF2Yay2cJsQ9lsYWPHOpmym2++WY888ohuvvlmPf7445o7d64233xz\njY+Pa9NNN9UTTzzRfaMeeKJNNpniTaDnb1Aef8aIpjoB/ExmiywONTb0DqeMYnzDZhwwvdNkOPox\nDsy2SKaLb9+pXhJZPuqJ6ClPdZbS35QZjJ4Z6i+SfinF4a4rS03CdNrtpptuGusMJS8WPSv09NAe\neRzPtb2IvB7MRlFXRS3KoLoctj/Ddkktpr2V6/JOMuOQ++Rj+nfq5PzZ3knboT1tzLJI3Y77Zi+c\n9ShuB73SZM6YZTBlITVSxlayLu3MXOuD6bTZtWvXxus0ae/IFnH/pKdKeqbE6CddJevypLWW7abm\ngfOYtBhSZq5S9AF1sum+k+4X9FYnpppjTm+7MSjqgb9zO+r7Xmgi5um02e2220433HCDpEbf6f46\na6Gvba8Z8+fPl9RovszOXHnllZKkhQsXSpIuuOACSY02zQ/k1ie5/848aGbtrrvuktTUBvP6euSR\nR0pq1ixnPjz66KMlTV0LzJj583HHHSep0X+ZSTNT6PC56667rqc9knThhRdKajRa3tY2ZEbMc2w9\nmrMt2uas6/FYej8za/5r5suMnCMZfA+yhswsodfht771rT19M/Nmhs1jZ12gx9jbmc00G+q59hy4\nvdtuu23P+AzCdNpsW1PmdStl7E6RBClrNfWuKWKKbE+6L3Ht4FpDltbznjRlti9GZvl4ZrXb5+L6\nkjSvZJ4M3ntSHclUS5dRHoxE4FhRl22ke1rKts17VvtdqB/W+cT7m7/5m93/f/GLX9S2226ru+++\nW8uXL9ehhx6q5cuXdwWbhcLGgrLbwmxD2WxhtqFstjDbUDZb2NjxgmmIU045RWeccYYuu+wybbPN\nNt047oEn2mSTKZ75QRocg2/pzOTFumbMfpUYq+TRNPh7QnrzdjvIjDDWte0xIBtBrwC1YQbf6vnW\nnzKF0RtspLhfejfI9qSaOIllSv2lt2NDGLM2NtRu2/X1UoZLeqhT9sJU+T3pcBw/nzIBUtdDu6I+\nj7ob6nJS1jkjaevaSBlUU/07XnO8djjGtA+OOePCU0YktiuxHEknxLkwfF1tiNaB2FCbnZiYmKKx\nS3NukO3hGpo8pgbXVDJcSY/LdYrZyXj9pygJMnD0YvbLgEgtMq/jVBeQHl3aIscmZWO0jZgBSlEO\nBu8BSe/H8ybtK/9OBzbUZjfbbLOubuj73/++pKnZC81cmUFy/1zbynXCzGSZVXF9MbM3l1xyiSTp\n3e9+t6RmPD2O5557rqSGUTMDZgbPNbXcN7fL7fH5/NfMi1mfZPvWd5lFMrPXXmNOPPFESY1Ox3Df\nbZNuu9vqe4VtyGPsdWDHHXeU1DBbPrfP42gMs4seW8Njvnz5ckkN0+Z6Y55bM2vW/Zkh8/kdIWFb\ndT+oRXPtNrObLwYbarNz586dwljx+WxQJlZe6ylTq8Fss1ybUmZzg/dnPiP4d9cZM/PJqDBGrPDZ\nw2ta+xwpCozg2k09MHVxPDfvAWQleU8zyJgRZAXJTqY5SDXhEtb7SfeUU07p/v/3fu/31ne3QmGo\nKLstzDaUzRZmG8pmC7MNZbOFjRHrVadsOrB27dopb66M+Uwx+CmrCT389E4kRo2MAb0WKYtjqv1F\nMEY/xaz286YnzwnbYrCuF70E9PynTIEpW2LK8kidFMH28POgaunEC81kN10YHx+Pde/IOiZ9EmOZ\nU0ZLetxZM4uaR3rCGXNtpLobzLRGjWPSGSUvX/sYBr1iHBNqwwZlmKN9sy2sOWUkZozXFdcAtpee\nSp6v7Q0bls22NWX03LIfvO64DlB/yIx9KYtX0pDSc0uGbdB6kWyenmXaeLKL9jaszWbQKz0oMoPX\nX8p0yWxc1JAldpFrbqpjxjWf5+OaPjo6OrSiuT/+8Y+753bdMGc/tJ7J7Izrd1knRU2e2R5ruawt\nc3+tU7Wu1Pol1yezl9/6pttvv11Sw1I9+OCDkhrdjXVbZpNsP1/72tckNayOdWAXXXSRJOnkk0+W\n1OiszMTts88+khqdlseh3QczS6yxZo3Z/vvv33Mun9v6PDNeHiuzedb1OfMj1w9rytoZO6VGY+b2\neEw8BmYbPcbe3+f1nJhpM4tpxsaMmvfzHI2Pj29QnbLpQDvDLjWuBqOsuD2fz5iFMWUo57MCMzFT\n422kmr+JzUrZddkfPse1z5u0rlzLub7yecpIdYUZhcPnf56HmXm5fvK8KRtkivphlFn7vrCu6LsX\nXimyUCgUCoVCoVAoFArThhljyvjGLk312NGDSI8lva/UP1A7ltgdxuHyzZneeHpzk1ednk3+Tm9K\nP8Ys1VhjTDI9z/Rc8xyDssbx/Ia3Y40rxhSn8xhkNOiBo0ec8brD8uBK2RPdL3umlJnSFPtMPSDt\nM3maBukK01gO8gDx+5Rdrh3rneq1JAaGTEdiapPmjF40z0G/tkm5rh49VmQbUz2tpEdtb/9idZAb\nitWrVw9kmAy2m97HFDWQxnkQM5UYNLYn1QKkLXL9S9pWo70u0QucMk2SoSIDlZD0kVwvfN35vGYN\nuPaRKTeSHtLrU2LIaNNz5syZVn3ZC8GTTz6pb3/725IaZuz888+XJC1ZskTS1AyutNFly5ZJko49\n9lhJTb/N1pgxu+222yQ1bJBZF2u6nOjBTJV1Vc4oZ32U2SmPp7Vqnh+32+yPrxVnPvT8mi065phj\n+m7v7I7tPpuJMmvo7912a8zcdtf/spbMfbNGa88995TUZK4008Yaeh4js3nf/e53e74/6qijJDWs\nn8fMNu7zeo6tLbMNm0mjDVifZ7bUteMuvvhiffCDH9QwMDExEbPZGrwvpjpfvN8wiyN1iFzfjaSF\n5hqR2COu71z70n0kRfNIWWfHSB1ez7wXsO2DdHusA0yWcVDehqQ359jzuY5jzvvJyMjIlDW8jWLK\nCoVCoVAoFAqFQmGImFGmjFqZlOe/2zh4PdObctKTJJ0Dt0+ZAMmMGDwPvf/0eqQ4XaM9BXy7T9oK\nZkNM8bT0BlOvRy8qtShsa9K2Je8r+0x9E49HD1GqWTFTmJiYiCwl7dF9sCc3ZVukBz3NJS/NpHXh\n/tzPtkAPUPKatfsuTc0a1K/2CVmFZLe0z+SVWt9Md/SmpQyoiUXntToo6x9j/Mnut72Cw2J32/Vz\neJ0nfWzSaPH6TJlsDfaZ80qbIuOeIgQ4r0TK2JvWO6m3bkz7XInVT0wXx4ARGRxr2rJ1PR6TH/zg\nBz2f03WfMtWmTJTp2mh7cofF7j7wwANd3ZAz7ZlRslbLdbys5bLeyNkPzfr4d0d3uKaV2R3vZ0Zq\n++23l9TUDWNWRWvWXCvL42ktmOfL25nVsZbssssuk9RksrNeyvXTFi9eLKlh8BYtWiSpYZvuueee\n7jj53uIshtttt13Pvu67NWdbbLFFzxi47Wba3GezhTfddJOkRiNm3Z775P3NjJk1ZBZHa9nMhL32\nta+V1MzBnXfeKanRirk/HnNfE7Z9M3e+1s477zxJ0kknndTt40yjzZRx/UxRKbwPkm3hfY91yBgZ\nwuNwveP2XIt4H0z5DsjIpQgLPtO0v6MWnveolNk3RXsk3Xl6Dk9ZcVMGca/7SUvGOmQpSozM2eTk\n5JSopJ5+xF8KhUKhUCgUCoVCofCSY8bcYnPnzo2Z1+htYPxqevNMmfpSXC2PS685M8hQk8YYWDJs\n9AIzBpWeU1ZFb+9LrYZBpsFIca3+Sy8F2RK2PemWBtWpoMeGHpmUIcz9Yky2P9tDONMYGRmZwgyl\numLMqmik2lZJq5JYjqRNY8amxMClumTU5QyqkbKuGlzpmkjMaNKMGW47x4RswyCmLrGOqQ4ZPZdc\nGwjG4g8bZPTS2prqE/L65BrKNTvZOFlWssY+Dseb80BGn/Ob9F/r6m+qL5NYU0ZYpPtSyqzm4zIb\nohkUMzip1hrH3tcA14XETqb1xRgWSyY9n+HQbIprZHmOnRHQ+iS33yyRNVeuiWWWxboj7+eMgwcd\ndJCkhg2y19r1zsyAWd/kmlse7/+vvXOLteOsr/jyBQuTiMTIRTSEgHAukMQ4EaYpEC4hCbcgErAQ\noFYtEg9IqXhAbSUkoNAHBIhXq6rEC+KuIG4O0DQOjnMjCSHBiZ04JZCI4tDWScjlNOEcH5+z+4DW\nnjm/vdcZ48ue7fS/Xo72Pntmvvm+/3wz81/fWn87GLpG1gc/+EFJjduj2SczOG7Pxo0bJTWujq9+\n9aslSb/61a8kNRo072fz5s2SGkfD9rmaFTSraAdJs3asM+ZjWKtlRmr9+vWSGubMMWOWz7FoZsxs\nobfz/Ovj3XrrrZIaRszHcWz72vDvPZYPPfSQJOmiiy6S1NRq8xi5T83kvfGNb5R0dOpBHi4WFxfj\nCo3kIE5fgTRPul+oKUu6dK5kIDuUtMHpudBImrTkLDzOqyAxW6ylyXmRTBXZvsQC0kOCMcLnbq5o\nI+NmUIvGe1FiH/ke0+XKPB1PEIVCoVAoFAqFQqHw/xQT05QtLi5GHRLX8CeHmS5NjsFMf/p/qtGV\n1tmmdb8Gs7TJYZDnP65+Ad/ayVgxE85MCvuOuj1m0NMYEMxMk4njcdinZEKSxizVWZs0/vCHP4xk\n75NeKZ1D0sOlNc7UMyVWiSwO1zYbvH5Se1NWzUixKOW48jG4htoZQH/PttFdkWOQXPjIblPzRRaD\ndVt4bqnvE0vSPu5yDkvHEnNzcyPsT8pwsp+ZvUw1XRibSb/La4RsFB1qE6PKGE7zSlp1MU6Tlu4T\nnPuoc2UsJidOI7WB12nSJ3LOpBa6yyGN13Vi3AaDQW/z7K9+9ashs3TzzTdLapgrs0KuK2bWxayM\nNWE+X6+qsIult/f/vR/3g3VT7le3w/22Y8cOSQ07c+ONN0pqmDhr3zhuHhfrpayv2rZt25L/mx0y\n8+bfG2bOJOnyyy+X1LCCbqM1V/6tWTlrydwH7lu31VoxH5P3HrOGL33pSyU116M1Y96eLOJPfvIT\nSQ1L6TGxw6SvMbtBbtiwQVLTt65rZjdIuy6+973vlST94he/kPRHttTbThqzs7Mj97k0F4xzOm1v\nx+c1XqPJQfBQVwrw+GnFVNJFcS5J58fzGfcbPhenFQF83kgrf/i8vVwd4Pb+0vNc0rAl9jF5C7hd\ndIsdDAYjq+7aKKasUCgUCoVCoVAoFHrExJiyhYWFztoJKbOX9At8u0+aGTr78Y3WYFaW2WEej2/a\n/D81CKxlMU4jRKaBYHbX+2BmmZl7uvkkd0VmKbrc2ww6izHrkJiQ5FqU1h9PGu3Lg+xL0uUYiTmj\nvo5sJrNV1DTy/2k9e3I85Npo7zc5ZNJ1iBn55fokuejR0Yhum0kHx/hNmrTEQqbaUUlf1OU2mNxQ\n16xZ0xvr0L42eR0ZnJsYM6mfOAdTO9rl5MnjpFoxnKOZ3Uz11hgPSU/VbgPnuhSzZBsZ68kFkWwu\ndSU8h1SvkDXbqJlgJrdLD8jrfmFhobd59pe//OXwvKyb2rdvn6Sm/WaSXNeLdRmtl/Jn657cz2Z3\nzKyY5bFrovVYdm2k46CZOceoNWFmha644gpJ0k033SSp0WlZ92WW6uyzz5bUuCqahTKbxXu69WBS\noxGz5uov/uIvJDXaq+9///tLztG11BgDjkHXVnPNNveF64+57phjisd33TG3w3o5uyv6uOeff76k\nhjnzX7OEbre1cR4D12G77LLLJP1Reyg1OswLL7ywN715e25NLrapPicZsOSYyuc4X/O8h6f6nclB\nPLnSdj2X0TmRunRek+1tE8OVnmmT9pXgvYH3jOR+m1ZdJF+EpC/nfExtHO/Bq1evXlZXVkxZoVAo\nFAqFQqFQKPSIiTFlc3NzI2xNcrXjG6y/T3XImC3gWz2zBXR7IaPWtaY0tTPVM0hv/NyPNOrutlxN\nMynXVUpuaCkbYCyXWW5vZ5CdSewRs80cC1Zz5/77Yh3m5+dH+iQxX+wrZrjTWupUV4PfG4l5Tbq+\n1J7EopBBYCxxf+02G2RWkxNRcjJKGjCDbEbSTqX4Z2aySweYahMut9++3OwOHDgQx5jXKzOwdA5N\nWrM0bzB2COofyQYxXoxUk4aMH8dluZpiZI6NNHfx3MikJS0Zr2Nen8xS8zhJM5ruQ7zWOJcnne7C\nwsKy9XOOJR577LGhvsjnefLJJ0uS7rnnHklN/TDWF7NG7IwzzpDU1DX78Y9/LKlxNTRT5nN8xSte\nIamJOeun3vCGN0iSfvjDH0qS3vnOd0pqWBqzT2aLrBVj7F199dWSGn2Uj2vdl5k0u06a8TE75HaZ\naWvv2xorx/A555wjqWET3Tf+/y233CJJeve7371k39acmRlzjTRr1sygmblyrJuZc+y5b81Wmu30\nObu9iYm9++67JUmbNm2SNLqywWNpV0ezh0888cTQ/bIP8LmG+ibOAYn556oXziVd97WkO2WdVz77\nGmnFyXKsers9fAZvz9dk34y0eoXPmGnFAOdfI2mDeQ8j68famY553ov8f7rwdj1ztFeRFVNWKBQK\nhUKhUCgUClOKiTFlg8Fg5M2S2XCuNTWS20nS2hCJ+TKYveAaWL7ppvW8qQ5Vyn6M008llzS+3ScH\nSGagU/2kVE+I2eOU8aa+IWXSqafoYg2pTWH2YtJYXFwcOafkQJfqZTCuUs0o9g1rO1Hzla6fVLfM\nSC6m3C/Pl8xcO0YTY8r4S/XEkmaR26c4SlpHro03ONek9ed0u+JckPSpXQ5LxxJ/+MMfRjKkzBom\nlzBed8zAUidlMOtJbVnSlPF3XXV4uOoh1ZVLtWHa806aE7kyI+nXuu4nZMDIgPPc2I7lMq3t/Tij\n2zXH8rjUwM3Pz/fGlH3rW98aMlx2OTR7YnfEJ598UlLTn66ZZZbHzBpjwgyc2SRrvt72trdJajRh\n1pDZTdHujz6e9VKnnnqqpKZ+mGtsuR6Z2Z7du3dLalwg3bdm2jyPevxdd82Mndkm67ikhmXzmLve\nl/fh+mLWp9ml0Po6n4NrtVlH5+3sfmhW0myh22pXx6eeekpS49roPt2yZYukps/dd/6d+8Ttcf0z\n12Tz2FkzZphpsxbN2rN9+/YNx23SWFxcjP4ISYNs0JmPzBrnCs5vvJ/y2dTgMwn1UOn+ZSRdlMFn\nmeXqxnEu5j55L0iuhnwWMNzXfIbluZL5Snp4PgOnVyU+/6XVIO33luXm2WLKCoVCoVAoFAqFQqFH\nTIwpm52dHWFjUsaeLBHZGK6hp/scdSbpDTllHVIWNjmTcX/s0rSfcWttkysPQdaFtWuY4U7aHWZh\n6STDLMVymZBx++FnZjk4NtRLJF3VpLCwsBB1dcyGcfxTRfnEJvlcmR1LbAIzRcl5iewUGea0Dt7t\n5/mTVRnXJ9SvUFeX6ucl9i65HCa9DuM29RX7KNXpSxnLdK2vWLGitzpl4zK4jBnOA4zRpNUj60uG\nMWlc3Z+cl+jGmfSaSWtKjUO61jiftUHmiNpkroxIKzp4X2JbGeu8Jgjenwz2adLjccVGcg1rZ6b7\n0u7ef//9w3aYGbvzzjslNQzZxRdfLEm65pprJDVsjWH2x7WyPH5mY6whsybN7JBZHbNGrgX2gx/8\nQFLT/2bizHRZ6+V51IyZY83j8Gd/9meSGm2cNWSO2f3790uSzjvvvCX/NytkvZYkfeADH5Ak3X77\n7ZKaeLb7oVk2s25uw3333SepYajcJrfBWjQzN+5L798aLvetdXz+3jo86+FYm83naJZx586dkhrt\nm2vPue88Rmb8zIped911khqny1tuuWXIrPYBzjtJc8vPaT4aVztQGr0fcf4zeJ9ku5IOi+dj8H7h\n/3P7dJ9ub8Pn3q76qGnFGkE2j/eM9JnzfLpXct7mfT3dq/h+0352qTplhUKhUCgUCoVCoTClmJg9\nWJv9ogaG627Tmvikj+JbZ3KdS7oRZmGZrU21kVJ9qFRRnGtlx2XbuW1ivJhd4L6pF0iuiVxrnCq1\nJ/efVCme7AuRtGdddaQmjRUrVox1yZSyLsefWY8u1etgn5E1YrwwJujqSEYsZc4NrkvvYsbG1T5J\nDGpiWMlKsI9SVoxjkJzx3LZUY41xzbHj9ZHqvTBujQktQBiLhYWFYbtYwyedD7ONSe9kMOaYkU0a\nseTaxWuBYLuZQU717bj9uP2ToeZ1yHMyktYgaSE4h/H6ZJ2brjHgvYL62xSDyTVsdna2t5pPBw4c\nGDJQ1lCZ/bEuym6H1nqZfbGLoc/DGjE7Bz766KOSGn2UHQitb3KsmB366U9/KqnRtnnczaiZhTL7\nZCbPx7NToMfHNboefvhhSY1ey+NkBs/nYw2a2SZvL43WCzOTZDbQNc84T1oLZjbPLKP/uu0+J2vX\nXO9s165dkqSXvexlkho3R5+j9X98Ntu+fbukhuW026PHypo4j4HnIX9vnHDCCUv6ZMeOHZIa5q4P\nzM3NjcyjvJeSXUnPBpyXOK9Rn0q2yXA7WPczrUrjMwbnHN6nk4Nrcp9snzvnneTsm1a48R7FPuGK\ngKTtZZ8kzT+diLmygau9eF5pNVjXaoRiygqFQqFQKBQKhUKhR0y0kI7fXFmnLOlCuDYz1Sugpic5\nblHDld6IuabU/++qI5XcWlKmgFn99v9SBrrLwZHHZB8yi+usAR3HeHwjVaTn2DJLnNgisoxJF9EX\nDhw4MOwzZrK72kzWkpkS6mlSfSSyoMwEsY+4/txIrpGp3hKza2TS2lk6jneqyUQmitkrsnKsn9VV\ni40go5uydXQJ5FyS9KaJ7W8zrJPGYDAYHtsubVxNkFy3kt6V40r2JznTMlb82fs3M+N2cj7oqoPD\na4bzE8+nzaD5O8YmGTPGSJeWjG5bjAPGTFe9waSTYx8wu83jkY30X14TfWDv3r16wQteIKnRO1nj\nZVdDM2DWJVnTZSbNzoJ24zN74zplZtq2bdu2ZHv/NRvjdng8PL5mmcxsuSaXGS7rqy655BJJo5ny\nyy67TJL0zW9+U1LD2N18882SGgbw/vvvX3I+bdbILJpjwJqsvXv3SmoYMR/z2muvldQ4T5rV+4//\n+A9JDRtohswxsG7dOknN9eb6YLwn8PjWfjkG7apo5o0MmPVzZuLc926/x8Cx4PY988wzkkYZ8Uli\n9erVceUS62smJ+ZUx6zNXrf3k1gWsktdKxU4V/EZg8+mnIvINpF1aj/TJn22v09+A7xXpDmdrB9X\nwyS9OVdbcAz4jEJw3k/zdJdDNFFMWaFQKBQKhUKhUCj0iIlqylhXadiIkOnz2zjfrJNjGrM4BtfX\n0v2OtRyYdUj/JyNGBoxv5GTweJz2b5NOjYxWytQkDQX3a1Db0ZXtTVnjlKnhGmgfj8wcGYu+3MCM\nNuPBsTGSbonxSuaVWX9mZFImh/FEJPYjOdwlbUxipbj2ug2yhaneHFmCdG2l/buvkt4zZfjYZ2wf\n45PnSO1A6uvkbjUJrFixYuS86bSXNAUpJhg7dBbldZzqhNHFi/pJ/p6stJH0VGmVRNIEtsH7AbUL\njBWOfVpZQRaQcyrvW0mDkGq4GZx/3B7WMeP2zED3gfXr1w/ZD/eH64W5Xte73vUuSc35PfLII5Kk\nV7/61ZIaJsysjZ0KXcfMro6uT2aN1wMPPLDkeK6J5eNYQ+bP/v3ZZ58tqXEutAOh9V3Wffl8zAqZ\nIfPx/TuPs1mhd77znZIaFktqNF5ui5kvs3d2anzrW98qSbrgggvUhllEa8nMxvmzrwGem+dps5Vm\n3hwzPo6P/8tf/lJSU7fMMHtpmCGzE6ZdGN2HdG80G+m+ufvuu4fxMWksLCyMXKNpZQHvW3ym5dyT\n5jvOc3zGIHhfTZrfQ129Q8dpz1lk2trPnWlVQ3Jq5vzJ1TK8x6c6xGlVWapPyXui4eN7Hk2ruHjP\n4Wq05XTNbRRTVigUCoVCoVAoFAo9YmJ1yg4ePDjytp/qfCXtTFcmMa3DZVYgZYu5LpZv5P5dyjob\nibljjQdmVdrfJfaC+ySLQsaA63OZuaHzX2IGmOkha8Q106xmzmwImTGjy3lw0mizutTNMGNO9iDp\n6rrq5qU+p14v1TliX9ONMa29TnHNzNO4Ommp9ggdlvi7Luc6fmZGkBlD6jy57ptZMmbrOCeQMUuu\nVmk9eh9ou4KRXeF1RzbfIGPIWKfTFbdPbl1dWU5mF93f1p6lWKfGj4wr9Vrt3yS9blfGNTl/UpOZ\nYp2feb0l/S0ZOp5HGiNqQtlHi4uLvWl0du7cqRNPPHHJd2a4XB/M5/H6179e0igDadbFro1coWAW\nx9ublfF+7LpoDZu1bdY5mZn7r//6L0nSGWecseS41mfdcMMNkhodlmPXDN7znvc8SY1zIPVRrsVl\np8P2XOI4t57NtcysQ/O5GXaYNPN1/fXXS2oYM7OHrsnmNu/bt09Sw6RZD2f9nvV3ZilZ39Sx5Xpj\nHgs7bLrLsPgzAAAgAElEQVSv7Szp+mZ2gXzwwQclNYycHTQ9Fq7T9qY3vam3mB0MBvE+xXtzqrNo\npJVBXBHQVTM1gewT58nk5tjlKcA5hr9rg8+uaVVLcvbuYp6od0srjbh/zqupVhzPkc/5aczHeQ74\nOhmHYsoKhUKhUCgUCoVCoUdMjCmbnZ0dvoUzi0rGi45hiXFihpBMhEG2qCuLTB0CM5XMjqRsrZEy\npuP0M12Oe8wuJLaEeiAyVn5TTxka1tdgX3cxaMxK+HtnDck2dekGl6uAfizRZh26svyJSeK67sQ8\nEcvVs2sjsYgca1asZ4Yo6RlTXbV2to8OSowDZqvGrT1vg8wTrxWubaejXdKIGczKMXPF6yZdZ+ma\nXrVqVW96yHbMGoyRpIXjXJcYrlQPrKs2V6pBmeooMga5+oGul8ws8/ftMfF9howKWdPkrsrVAIkR\n4/WdnM0415P1JbgihPetdG2l+9xgMOiNddi+ffuQmTIjZZ2R/9rBz2wO77uMvZ07d0pq6o+5P82Q\nWTtmDddvf/vbJfs1O2Qdldkasztm8Kg5c0x6P3Zt9P4vuugiSY3u6lWvetWS9tuN0ePaZr/cVuvT\nOKf7WN7GbXGfuo/Nzs3MzCzZzu6I1piZkXNM+jpcv369pIYJswuj+8D6PLfD+/PxzIq6D6yVs+bM\nfeL2+/y8ndnGX//610PHxz7A+exQHfaSdoz3Jd6fOA8m7S7nLj57JM1YWiFBB0XOXXw2HvdMw2dO\nMkmpxi6RXKcNrrLo0t6m9qV6k9yOOnlq4Ma5ci83zxZTVigUCoVCoVAoFAo9YqKaMrIqRnKjYjaB\n2XFmB8ioMeNILQ8zkMw4jtPOtP+fnMlS/Se+MY9z0UuMFNmV5FKXXMa4zpV9wowMMz3MXlCzllgf\nZn/Tmua0PWvKTRoHDx4cyS4dKrPEvqS2g/qkLkY2sR3UkJCl4BhT95TYKO6HMdKeOpK7E+tWJd0d\nmajEbicHyXF1qNrH5/dkWJJbH1lFzhHLObX25WY3Ozs7MtckVjTpa3k9pnkpabgOpSajNMqgdq1e\n4DgmjQXbP47FSm7AaQ5NDmnM+FLHyL5nFtyrB9I1wfsmY5MsYOrDLpZyYWFhWa3DscSjjz461AuZ\nwTSz5PaZHTHbY+bKGjCft536rHsyI+aYpIOhdVfuP7fDLJCZOe/XMWuG5tZbb5Ukvf3tb5fUjIfZ\nKbIMdlN0O/73f/9XUqNRu/rqqyU19dPacxXZuf/5n/9Z0heudWZW0Y6Ul19++ZI2mI3jMXxO1s25\njYwpb+/YdV0zuyO6L103jcyM66T52rAO0MyZmTtr0Nwe/85x+rvf/U4veclL1Afa82wXO01dd6pv\nybknOS2na3mcT4E0et9K8yOPn5yXydSlZ6Bx23BVTdLWs618LqEuj8/Zycega0WcwWcVPg/RGZi/\nT+e1sLCw7PNsMWWFQqFQKBQKhUKh0CMmRj+0azoYfKPlmy8zi3SlMrjONjFeid1J62b5/1R/IDFk\nqcYXXRzb2RUyWcyWMsvAjAkz44kNTH2f+jxl3tlnZESoCeO6e7JCh1JPaNIgS8A+TDocZra79DjU\nRnC79H1y6PRxnM2kdoVj7TFjVizp/tpxm87RSPqq5K7I+KB7HjOSzNCl+Ge7kvMqr2Efj2xncnVc\nWFjojSlbuXLlCPNIxq/LadD91FUfLLGsrGWXMrdkeagdpWaQborMwqY6OtyuDdYl49xHloCZUMYi\nM6ZJI8Hjkm1NLsRk4NJ8w3mrq05in46hu3btGuqS/NcMGMfD7I/7f/v27ZIaJ0BryVw3zKyMnf3M\njJmhMhNGp0+zPGanrEWzrsvfW99Fd0f/3+0302cHQ7NL1lF5/2bcPK4+P0m69NJLl5z7z372M0lN\n7bPf/OY3kqTzzjtPknTSSSdJamLy2muvldRotuxyeOqpp0qS7rzzTknS5s2bJY0yX9Z0makzg0Un\nzDe96U1LPv/whz+U1PSxx8bt835cl8xj7/nA31urZjbzjjvu6I0pW7NmTbzP8fmIjFhyK6RWlvM4\nn8fSXJRWyaR7eroPJ7aJ94Wk7W3vi/WHkz4u6e3S6i2u2uA9g32Q3B4NPmOkVSB8pjX4TE1n4a7n\ngkN6Kbvpppu0bds2rVy5Uu9///t12mmnaevWrVpcXNTJJ5+sj370o71O6IUCUTFbON5QMVs43lAx\nWzjeUDFbmGZ0aspmZmb0yU9+Up///Oc1Ozurq666SgsLCzr//PP12te+Vt/4xje0fv36YQX5hIMH\nD0b/f4MOfsndjm/GKQuaHADJCHTVNUj1Z5hp5Bs1M5TM3nI/7bZyrTI1M9wXGYrk3tjFRjLDw5oQ\nXRmeNAZGcnlMTmOH4754tGJW+mM/sM/JmDFOuX6ca5GTm1vSLTFjk2KCY2YwPrs0MWkNd8qitbdx\nltmZU9Yx8TmSEUtaMF7rPBdmz3htpb4hE8S4J/Pi4/r8kstUO77/FCe7oxmzg8EgsrS83slokUVJ\nTlWpfhmPRy1X0gAmV0sjaVPHMZTt/xPt+SjNqdRXGKkWXrruDfYlndC4fyPp6NL+U7Y7xbrRZuL7\nitmZmZmhPspMlPVDP/rRj5Z8NqNkuEbXpk2bJElPPvmkpIZNuffeeyU1Nbdc/+vlL3+5pMYZ0Noz\nj8/jjz8uqXEaNAvlemRupx0LHU+33HKLpGYOvOSSSyQ115b/epxco8vsk8/PY2H3SalhlMwmOvbc\n1qeffnrJNv6/Y8BMmOH50GyfNV0XX3zxkjaYkXvzm98sSfrOd74jqYlh1mizNs37d7vsvuix8f59\nfMem+2DPnj2SmjH17z3WN998s972trfpUHG0nw3Ipic33lTjtkv7xWs6ra4xulwfuUqH97vExlMn\nm9y+l3um7TrXtJInMVoE3d3JkFHLT+fIpBfnPYd9wv0mR8v2/WM5tqxTU7Z7925t3LhRa9eu1bp1\n6/SRj3xE995775De3rx5s+65556u3RQKE0PFbOF4Q8Vs4XhDxWzheEPFbGHa0bl8cf/+/Zqbm9MX\nvvAFPf3003rf+96nubm5JRkNr/FeDu03emYV+BaenGVYt8xgvRbqIw51jX1yMmT2mPoufzYD5/Zx\nLWlXLa52Gw2yKXTsSy6MZDeo8WKWONVz4np+rm1mBpwZE+qhmPFhlqIrG3IoOFoxK/2xX5JjEtdZ\nczyZHeNYcIxSX6X137x+uliRVBck6bOY4UrHb/+GYHaJvyfr4OyyGSmy1zxHsoJcA5+OQ3Y8zTVu\nT5qbWAOOY3GoOJoxOzs7O6IR5ZxLJjA5b6Z+5NzK/uFcnbSpbAc1hEnXxbm0S0M7bq4lW0vWkJlW\ng5ldg+yjkTKuSb+Y5nQydWST0/VKlpntSA5vXTiaMbtmzZrhmNtdcd++fZIa1sfsimtsmdXx+Zkt\nslbMmi2fr3VJ3r+PZ/dEOxFaY2btl1meCy64QFLD3Fk3ZZ2T5wKyOWZ5XvrSl0pqYtXbWQt32mmn\nSRplm6zrkkZruZqlu/322yU1DJfH3o6RPmfXWDMrZ/bPfeY+8jVhB0v3vWPG5259ns/pxS9+saRm\nbNxO9531X45da8q8X4+t2+W+83l7/4Zr0B0qjmbMPuc5z4narrQyoGt1zTj3wvbvqaXlMy3vR7wP\ncEVIel7j3Ng+5/bvqF/3vN+eMzn38/mG8y6fV9I9nfNVqv/KvmUNX4PaXdaj5PO+wXsQvx83FsvN\ntYekKZuZmdE//uM/6pFHHtE///M/x6JthcK0oGK2cLyhYrZwvKFitnC8oWK2MM3ofCk76aSTdNZZ\nZ2nVqlV60YtepLVr1w7ZgzVr1uj3v//9MCO1HAaDwcg6Vr8tkoFIb6Z8m086KWYU+QbNrAXf7slw\nGan+C7MKXFOadC/j2Km07pYsILOkqbJ60kMx40F2hBkUvtmTxeFY0XmGWYdUL+NouC4erZh1u9hX\nzLykGk5JH8jMSde5p7pmjA2OJbNXyeEwuRElp85x69uZwTXTxexTqj/mcyOLyMwi130nbWViLch8\nMV7JQKcadckxNjnEduFoxuyqVatGYi/NH4zh5JpI9oi/Z2xz9QGPxzmSDrlsd5qLOW9x3klsVntb\nsq+8D9GdNF0HybGSqwE4x6fjJSaPWobUJ+naIOPdpcNLOJoxOz8/P2RJzNa49tYrX/lKSY0eyrW4\nfP6veMUrJDXaLJ+vdVf+bFbJ52m9ktkgM3J2QzSz5XpjP/3pTyVpqGGym6I1adZ72aHQjobWUdkF\n0ufja8TtMgNn50R/b+2a1LB41r/Z1fD000+X1LCF7nf3pWujmXnyOZpZ85I9x6b/f+aZZ0pqWD/H\nltkkx77ripkRswbN9wEzXO5L6wd//vOfS2pcJR3b7sPHHntMUjOWHgOP4TnnnDN0yTwUHM2YHQwG\nI6ugEkNFJi3V5+xy8ObcwPmRz8RplVfSlJHVIsvOVULJwbw9B6ZVVf4+OX/zOYf3VLJ4vJcZfN9I\nTsOsv8oVedwf+4zP/4eqJSY6NWWbNm3Snj17tLi4qJmZGc3Ozmrjxo3Dwoq33XbbcBIpFKYBFbOF\n4w0Vs4XjDRWzheMNFbOFaUen+6L0xzoZO3bskCRt2bJFGzZs0NatWzU/P6/169fryiuv7Hz7m5ub\nG3n7Zkaeb6B0PEuVsqlbMLjWk2++ZOT4Bk2nmaQhSpW+03GMcXoJZnrTMZh1IFuTfsfsKLMPZE2S\nnipVgCfbyMxLqvXALC/Poyu+iKMRs+3zl0YzMFybzLan7H1iK5K2g5oWjpHB9eLMjlFflNxIUz22\nd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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5bfee06a0>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "pni4ObwnullI", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "First, we try using the stochastic gradient descent optimizer." + ] + }, + { + "metadata": { + "id": "_TXmfcByullJ", + "colab_type": "code", + "outputId": "3f3ca611-ae5a-45a0-b93d-3ee1f74e36b3", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 422 + } + }, + "cell_type": "code", + "source": [ + "epochs = 100\n", + "batch_size = 32\n", + "validation_split=0.25\n", + "lr = 0.0001\n", + "\n", + "# Configures the model for training\n", + "model_SDG = linear_classifier(input_size, num_classes, optimizer=\"SDG\", lr=lr)\n", + "\n", + "# Trains the model for a given number of epochs (iterations on a dataset)\n", + "history_SDG = model_SDG.fit(X_train, Y_train, validation_split=validation_split, \n", + " epochs=epochs, batch_size=batch_size, verbose=0)\n", + "\n", + "# Returns the loss value & metrics values for the model in train and test mode.\n", + "eval_SDG = model_SDG.evaluate(X_train,Y_train)\n", + "print(\"Train loss: \", eval_SDG[0], \"\\t Train accuracy: \", eval_SDG[1])\n", + "eval_SDG = model_SDG.evaluate(X_test,Y_test)\n", + "print(\"Test loss: \", eval_SDG[0], \"\\t Test accuracy: \", eval_SDG[1])\n", + "\n", + "# Generate loss & accuracy plots for training & validation\n", + "visualization(history_SDG)" + ], + "execution_count": 14, + "outputs": [ + { + "output_type": "stream", + "text": [ + "300/300 [==============================] - 0s 85us/step\n", + "Train loss: 0.9772074445088704 \t Train accuracy: 0.4866666666666667\n", + "300/300 [==============================] - 0s 83us/step\n", + "Test loss: 1.0342688798904418 \t Test accuracy: 0.4166666667660077\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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HT2uNfuVF9Gurh+/+xmNWiCdYwi+VQmfGxvsXhof08RMEQahsRPgJQgkZF338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\noc345R+C6ip3Ri4lvcHYGvBX9Ax5xs/3156Kcve8UAq7QF36pj/wa2GhM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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5bfd39390>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "TBfi90-Wullb", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "Now, we try using the Adam optimizer." + ] + }, + { + "metadata": { + "id": "q8ikkb3Uullg", + "colab_type": "code", + "outputId": "4f2cc05e-b8a7-417f-f8ec-1b4eba98a2c8", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 422 + } + }, + "cell_type": "code", + "source": [ + "epochs = 100\n", + "batch_size = 32\n", + "validation_split=0.25\n", + "lr = 0.0001\n", + "\n", + "# Configures the model for training\n", + "model_ADAM = linear_classifier(input_size, num_classes, optimizer=\"Adam\", lr=lr)\n", + "\n", + "# Trains the model for a given number of epochs (iterations on a dataset)\n", + "history_ADAM = model_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", + " epochs=epochs, batch_size=batch_size, verbose=0)\n", + "\n", + "# Returns the loss value & metrics values for the model in train and test mode.\n", + "eval_ADAM = model_ADAM.evaluate(X_train,Y_train)\n", + "print(\"Train loss: \", eval_ADAM[0], \"\\t Train accuracy: \", eval_ADAM[1])\n", + "eval_ADAM = model_ADAM.evaluate(X_test,Y_test)\n", + "print(\"Test loss: \", eval_ADAM[0], \"\\t Test accuracy: \", eval_ADAM[1])\n", + "\n", + "# Generate loss & accuracy plots for training & validation\n", + "visualization(history_ADAM)" + ], + "execution_count": 15, + "outputs": [ + { + "output_type": "stream", + "text": [ + "300/300 [==============================] - 0s 86us/step\n", + "Train loss: 0.809581515789032 \t Train accuracy: 0.6066666666666667\n", + "300/300 [==============================] - 0s 104us/step\n", + "Test loss: 0.9118426378568013 \t Test accuracy: 0.4699999996026357\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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E4FFcau2/M35bW6C4i1HFpXDQobBtU/aiMlO6Okx5poVafAqOH9yBOvazA9tf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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5b4eb2908>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "n5cE1Lskulls", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Conclusion**:\n", + "\n", + "We build and train a linear classifier in Keras using the SGD and Adam optimizer when the shapes are allowed to move within the images and change dimensions. We obtain the following results:\n", + "\n", + "\n", + "|Loss|Train|Test|\n", + "|:-:|:-:|:-:|\n", + "|SGD optimizer (linear_classifier)|1.020|1.718|\n", + "|Adam optimizer (linear_classifier)|0.806|0.910|\n", + "\n", + "|Accuracy|Train|Test|\n", + "|:-:|:-:|:-:|\n", + "|SGD optimizer (linear_classifier)|0.49|0.43|\n", + "|Adam optimizer (linear_classifier)|0.60|0.55|\n", + "\n", + "\n", + "Results are better using Adam optimizer than using SGD optimizer. However, the values of the loss and accuracy functions on this train and test set when using our linear classifier are not satisfactory even if we take a small value of rate learning (from $0.001$ to $0.0001$). \n", + "\n", + "Indeed, with the SGD optimizer, the loss and accuracy curves on the test set fluctuate a lot without converging. With the Adam optimizer, the loss and accuracy curves on the test set converge but not with the same convergence speed as those on the train set. Our model so is in overfitting situation.\n", + "\n", + "Then our linear model is not adapted to this task and we need change model." + ] + }, + { + "metadata": { + "id": "oP2EvVY1ullw", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "#### Q3: Train a convolutional (not-to-)deep network on this new dataset. What is the value of the loss function on this test set when using your deep network?" + ] + }, + { + "metadata": { + "id": "E7O28CR0ully", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Define the input size \n", + "input_size = IMAGE_SIZE # 72\n", + "\n", + "# Generate training and test sets (2x 300 samples with noise and with move)\n", + "X_train = X_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", + "X_train = X_train.astype('float32')\n", + "\n", + "X_test = X_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", + "X_test = X_test.astype('float32')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "rofEvvYuulmI", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We define *convolutional_network* function in order to classify a image into one of the three possible categories (i.e. rectangle, disk, triangle)." + ] + }, + { + "metadata": { + "id": "Xy4x7d9SulmJ", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "#==================================================================================================#\n", + "# convolutional_network(input_size, num_classes, optimizer, lr)\n", + "#\n", + "# WHAT: Configures the model for training\n", + "#\n", + "# INPUT:\n", + "# - input_size\n", + "# - num_classes\n", + "# - optimizer\n", + "# - lr\n", + "#==================================================================================================#\n", + "def convolutional_network(input_size, num_classes, optimizer, lr) :\n", + " \n", + " # Definition of the model\n", + " model = Sequential([\n", + " Conv2D(16, (5, 5), activation='relu', input_shape=(input_size, input_size, 1)),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Flatten(),\n", + " Dense(128, activation='relu'),\n", + " Dropout(0.5),\n", + " Dense(num_classes, activation='softmax')]\n", + " )\n", + "\n", + " # Definition of the optimizer\n", + " if optimizer == \"SDG\" :\n", + " opt = SGD(lr=lr)\n", + " elif optimizer == \"Adam\" :\n", + " opt = Adam(lr=lr)\n", + "\n", + " # Compilation of the model\n", + " model.compile(loss='categorical_crossentropy', # mean_squared_error\n", + " metrics=['accuracy'],\n", + " optimizer=opt)\n", + " \n", + " return model" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "GCMiaLEXulmO", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "First, we try using the SGD optimizer." + ] + }, + { + "metadata": { + "id": "3KoLfsMXulmV", + "colab_type": "code", + "outputId": "5787e454-5569-4fcf-88e3-5ec107c656b9", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 422 + } + }, + "cell_type": "code", + "source": [ + "epochs = 100\n", + "batch_size = 32\n", + "validation_split = 0.25\n", + "lr = 0.001\n", + "\n", + "# Configures the model for training\n", + "model_conv_SDG = convolutional_network(input_size, num_classes, optimizer=\"SDG\", lr=lr)\n", + "\n", + "# Trains the model for a given number of epochs (iterations on a dataset)\n", + "history_conv_SDG = model_conv_SDG.fit(X_train, Y_train, validation_split=validation_split, \n", + " epochs=epochs, batch_size=batch_size, verbose=0)\n", + "\n", + "# Returns the loss value & metrics values for the model in train and test mode.\n", + "eval_conv_SDG = model_conv_SDG.evaluate(X_train,Y_train)\n", + "print(\"Train loss: \", eval_conv_SDG[0], \"\\t Train accuracy: \", eval_conv_SDG[1])\n", + "eval_conv_SDG = model_conv_SDG.evaluate(X_test,Y_test)\n", + "print(\"Test loss: \", eval_conv_SDG[0], \"\\t Test accuracy: \", eval_conv_SDG[1])\n", + "\n", + "# Generate loss & accuracy plots for training & validation\n", + "visualization(history_conv_SDG)" + ], + "execution_count": 18, + "outputs": [ + { + "output_type": "stream", + "text": [ + "300/300 [==============================] - 0s 141us/step\n", + "Train loss: 0.9799799720446268 \t Train accuracy: 0.4733333325386047\n", + "300/300 [==============================] - 0s 120us/step\n", + "Test loss: 1.0182908773422241 \t Test accuracy: 0.4133333334326744\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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UQjOcSKuqRydej3IeeeQRLr74YhYvXmy+t2jRIn71q1+xatUq9uzZQ21tLWVl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pVG/JwePwfnOe677z6++93vsn79eq655hoGBwf51re+xde//vUF9/N4PPzxH/8xHR0ddZ9/xzve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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5b4a11cc0>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "tmV45i9Xulmm", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "Now, we try using the Adam optimizer." + ] + }, + { + "metadata": { + "id": "SWl9gUrpulmn", + "colab_type": "code", + "outputId": "d2ae0bc6-0a84-4482-ff62-2278187674df", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 422 + } + }, + "cell_type": "code", + "source": [ + "epochs = 100\n", + "batch_size = 32\n", + "validation_split = 0.25\n", + "lr = 0.001\n", + "\n", + "# Configures the model for training\n", + "model_conv_ADAM = convolutional_network(input_size, num_classes, optimizer=\"Adam\", lr=lr)\n", + "\n", + "# Trains the model for a given number of epochs (iterations on a dataset)\n", + "history_conv_ADAM = model_conv_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", + " epochs=epochs, batch_size=batch_size, verbose=0)\n", + "\n", + "# Returns the loss value & metrics values for the model in train and test mode.\n", + "eval_conv_ADAM = model_conv_ADAM.evaluate(X_train,Y_train)\n", + "print(\"Train loss: \", eval_conv_ADAM[0], \"\\t Train accuracy: \", eval_conv_ADAM[1])\n", + "eval_conv_ADAM = model_conv_ADAM.evaluate(X_test,Y_test)\n", + "print(\"Test loss: \", eval_conv_ADAM[0], \"\\t Test accuracy: \", eval_conv_ADAM[1])\n", + "\n", + "# Generate loss & accuracy plots for training & validation\n", + "visualization(history_conv_ADAM)" + ], + "execution_count": 19, + "outputs": [ + { + "output_type": "stream", + "text": [ + "300/300 [==============================] - 0s 116us/step\n", + "Train loss: 0.4689577874044577 \t Train accuracy: 0.8866666666666667\n", + "300/300 [==============================] - 0s 118us/step\n", + "Test loss: 1.4364353076616923 \t Test accuracy: 0.6466666666666666\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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X96Rd3JN2Kauy20QSPOH1tKMY/GxuK2RqRzEcOwqt2smC5kIIn7N5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\nC4ydgPngpZh552Eye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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5b45621d0>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "lsNo-fhKulms", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Conclusion**:\n", + "\n", + "We build and train a convolutional (not-to-)deep network in Keras using the SGD and Adam optimizer when the shapes are allowed to move within the images and change dimensions. We obtain the following results:\n", + "\n", + "\n", + "|Loss|Train|Test|\n", + "|:-:|:-:|:-:|\n", + "|SGD optimizer (linear_classifier)|1.020|1.718|\n", + "|Adam optimizer (linear_classifier)|0.806|0.910|\n", + "|SGD optimizer (convolutional_network)|0.952|1.000|\n", + "|Adam optimizer (convolutional_network)|0.324|1.191|\n", + "\n", + "|Accuracy|Train|Test|\n", + "|:-:|:-:|:-:|\n", + "|SGD optimizer (linear_classifier)|0.49|0.43|\n", + "|Adam optimizer (linear_classifier)|0.60|0.55|\n", + "|SGD optimizer (convolutional_network)|0.60|0.50|\n", + "|Adam optimizer (convolutional_network)|0.91|0.65|\n", + "\n", + "\n", + "Results are better using convolutional (not-to-)deep network than using linear classifier.\n", + "\n", + "Even if the values of the loss and accuracy functions on this train and test set when using our convolutional (not-to-)deep network are more satisfactory than the previous model, we see that this model can be in overfitting situation using the Adam optimizer. " + ] + }, + { + "metadata": { + "id": "iEGvtNVQulmu", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "Now, we try to improve performance." + ] + }, + { + "metadata": { + "id": "jblreaCKulmw", + "colab_type": "code", + "outputId": "6c3f7f93-051b-4dee-8015-54acbda62c2d", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 52 + } + }, + "cell_type": "code", + "source": [ + "# Generate training and test sets (2x 300 samples with noise and with move)\n", + "[X_train, Y_train] = generate_dataset_classification(1000, 20, True)\n", + "[X_test, Y_test] = generate_test_set_classification(True)" + ], + "execution_count": 20, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Creating data: 100%|██████████| 1000/1000 [00:43<00:00, 23.16it/s]\n", + "Creating data: 100%|██████████| 300/300 [00:12<00:00, 25.50it/s]\n" + ], + "name": "stderr" + } + ] + }, + { + "metadata": { + "id": "hUCIUMVOulm1", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Define the input size \n", + "input_size = IMAGE_SIZE # 72\n", + "\n", + "# Generate training and test sets (2x 300 samples with noise and with move)\n", + "X_train = X_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", + "X_train = X_train.astype('float32')\n", + "\n", + "X_test = X_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", + "X_test = X_test.astype('float32')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "LK3m_-gEulnC", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "#==================================================================================================#\n", + "# convolutional_network(input_size, num_classes, optimizer, lr)\n", + "#\n", + "# WHAT: Configures the model for training\n", + "#\n", + "# INPUT:\n", + "# - input_size\n", + "# - num_classes\n", + "# - optimizer\n", + "# - lr\n", + "#==================================================================================================#\n", + "def convolutional_network(input_size, num_classes, optimizer, lr) :\n", + " \n", + " # Definition of the model\n", + " model = Sequential([\n", + " Conv2D(8, (3, 3), activation='relu', input_shape=(input_size, input_size, 1)),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Conv2D(16, (3, 3), activation='relu'),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Conv2D(32, (3, 3), activation='relu'),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Flatten(),\n", + " Dense(128, activation='relu'),\n", + " Dropout(0.5),\n", + " Dense(num_classes, activation='softmax')]\n", + " )\n", + "\n", + " # Definition of the optimizer\n", + " if optimizer == \"SDG\" :\n", + " opt = SGD(lr=lr)\n", + " elif optimizer == \"Adam\" :\n", + " opt = Adam(lr=lr)\n", + "\n", + " # Compilation of the model\n", + " model.compile(loss='categorical_crossentropy', # mean_squared_error\n", + " metrics=['accuracy'],\n", + " optimizer=opt)\n", + " \n", + " return model" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "wWSKgyEIulnJ", + "colab_type": "code", + "outputId": "8ef77c30-66a0-46cc-ea51-93a83319b50d", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 422 + } + }, + "cell_type": "code", + "source": [ + "epochs = 300\n", + "batch_size = 32\n", + "validation_split = 0.25\n", + "lr = 0.0001\n", + "\n", + "# Configures the model for training\n", + "model_conv_ADAM = convolutional_network(input_size, num_classes, optimizer=\"Adam\", lr=lr)\n", + "\n", + "# Trains the model for a given number of epochs (iterations on a dataset)\n", + "history_conv_ADAM = model_conv_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", + " epochs=epochs, batch_size=batch_size, verbose=0)\n", + "\n", + "# Returns the loss value & metrics values for the model in train and test mode.\n", + "eval_conv_ADAM = model_conv_ADAM.evaluate(X_train,Y_train)\n", + "print(\"Train loss: \", eval_conv_ADAM[0], \"\\t Train accuracy: \", eval_conv_ADAM[1])\n", + "eval_conv_ADAM = model_conv_ADAM.evaluate(X_test,Y_test)\n", + "print(\"Test loss: \", eval_conv_ADAM[0], \"\\t Test accuracy: \", eval_conv_ADAM[1])\n", + "\n", + "# Generate loss & accuracy plots for training & validation\n", + "visualization(history_conv_ADAM)" + ], + "execution_count": 23, + "outputs": [ + { + "output_type": "stream", + "text": [ + "1000/1000 [==============================] - 0s 130us/step\n", + "Train loss: 0.3067347550392151 \t Train accuracy: 0.906\n", + "300/300 [==============================] - 0s 159us/step\n", + "Test loss: 0.5288211810588836 \t Test accuracy: 0.7833333325386047\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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z11iIozPqAjzdzGPwhBBCtA5pwRNCdDq6MB/91SLUhVeg1/0EAUGoKZeiP/sQ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\nYII=\n", + "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff599adbb38>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "oMBax3g4ulnR", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Conclusion**:\n", + "\n", + "We build and train a more sophisticated convolutional (not-to-)deep network in Keras using Adam optimizer when the shapes are allowed to move within the images and change dimensions. We obtain the following results:\n", + "\n", + "|Loss|Train|Test|\n", + "|:-:|:-:|:-:|\n", + "|Adam optimizer (convolutional_network)|0.324|1.191|\n", + "|Adam optimizer (more sophisticated convolutional_network)|0.154|0.232|\n", + "\n", + "|Accuracy|Train|Test|\n", + "|:-:|:-:|:-:|\n", + "|Adam optimizer (convolutional_network)|0.91|0.65|\n", + "|Adam optimizer (more sophisticated convolutional_network)|0.969|0.933|\n", + "\n", + "Performances of this more sophisticated model are very impressive." + ] + }, + { + "metadata": { + "id": "br_1hSJRulnS", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "## 5. A Regression Problem" + ] + }, + { + "metadata": { + "id": "CActKcpsulnT", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "The task now is to predict the image locations of the vertices of a triangle, given an image of this\n", + "triangle." + ] + }, + { + "metadata": { + "id": "Q21Nife_ulnU", + "colab_type": "code", + "outputId": "bd7d233b-c185-491e-c11b-9a9ead1601db", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 52 + } + }, + "cell_type": "code", + "source": [ + "# Generate training and test sets (2x 300 samples with noise)\n", + "[X_train, Y_train] = generate_dataset_regression(300, 20)\n", + "[X_test, Y_test] = generate_test_set_regression()" + ], + "execution_count": 24, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Creating data: 100%|██████████| 300/300 [00:12<00:00, 25.56it/s]\n", + "Creating data: 100%|██████████| 300/300 [00:12<00:00, 25.30it/s]\n" + ], + "name": "stderr" + } + ] + }, + { + "metadata": { + "id": "Ehtt5jhzulnc", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We visualize a training sample (or a prediction) by calling the *visualize_prediction* function." + ] + }, + { + "metadata": { + "id": "XFRBmUnJulnf", + "colab_type": "code", + "outputId": "4caaf348-c03b-497f-8935-7046e1f0e018", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 324 + } + }, + "cell_type": "code", + "source": [ + "# Plot one prediction\n", + "f, axarr = plt.subplots(2, 5)\n", + "for i in range(5) :\n", + " axarr[0, i].grid(linestyle=' ')\n", + " visualize_prediction(X_test[i], Y_test[i], axarr[0, i])\n", + " \n", + "for i in range(5) :\n", + " axarr[1, i].grid(linestyle=' ')\n", + " visualize_prediction(X_test[i+5], Y_test[i+5], axarr[1, i])" + ], + "execution_count": 25, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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1HeR3gdq5c+Oha4BhX5XZIxcvhl1Y/4YuW8bQZcvouPxyOspWtIj3B/ZVmY3o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j+9//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wwfn/KaNAkxYyG2g0hMwGGg0hs1UwbRoKV12F1DkMT378cUxeu7bqoz1JgtXNzXi8isXr5P5+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\nqj3u7u6ui9VrJGVWvVm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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5c0d3d080>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "qdgC2inWulnu", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "#### Q4: Build and train a regressor on this data. Evaluate your solution on the test set " + ] + }, + { + "metadata": { + "id": "iNRApSN0ulnx", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Define the input and output size\n", + "input_size = IMAGE_SIZE\n", + "output_size = Y_train[0].size" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "cBq85bPSuln7", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Generate training and test sets (2x 300 samples with noise and with move)\n", + "X_train = X_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", + "X_train = X_train.astype('float32')\n", + "\n", + "X_test = X_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", + "X_test = X_test.astype('float32')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "NEyw5Hpjuln_", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We propose to normalize the training and test sets targets in order to have a unique target configuration for any training and test observations." + ] + }, + { + "metadata": { + "id": "-284y9rnuloE", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Normalize training and test sets targets\n", + "def normalize_target(y) :\n", + " y_norm = y.copy()\n", + " for i in range(len(y)) :\n", + " y_ex = y_norm[i]\n", + " y_ex = y_ex.reshape(3, 2)\n", + " norm_y_ex = np.linalg.norm(y_ex, axis=1)\n", + " p1 = np.argmin(norm_y_ex)\n", + " angle = [0,0,0]\n", + " for p in range(3) :\n", + " dot = np.inner(y_ex[p],y_ex[p1]) \n", + " det = np.inner(y_ex[p],y_ex[p1][::-1]*np.array([-1,1]))\n", + " angle[p] = np.arctan2(det, dot)\n", + " angle[p1]=np.inf\n", + " p2 = np.argmin(angle)\n", + " angle[p1]=-np.inf\n", + " p3 = np.argmax(angle)\n", + " y_norm[i] = np.array([y_ex[p1],y_ex[p2],y_ex[p3]]).reshape(-1)\n", + " return y_norm\n", + "\n", + "Y_train = normalize_target(Y_train)\n", + "Y_test = normalize_target(Y_test)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "XxasJEByuloL", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We define *convolutional_regressor* function in order to predict the image locations of the vertices of a triangle." + ] + }, + { + "metadata": { + "id": "NlLBcDp6uloM", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "#==================================================================================================#\n", + "# convolutional_regressor(input_size, output_size, optimizer, lr)\n", + "#\n", + "# WHAT: Configures the model for training\n", + "#\n", + "# INPUT:\n", + "# - input_size\n", + "# - output_size\n", + "# - optimizer\n", + "# - lr\n", + "#==================================================================================================#\n", + "def convolutional_regressor(input_size, output_size, optimizer, lr) :\n", + " \n", + " # Definition of the model\n", + " model = Sequential([\n", + " Conv2D(8, (3, 3), activation='relu', input_shape=(input_size, input_size, 1)),\n", + " #activity_regularizer=regularizers.l1(0.00001)),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Conv2D(16, (3, 3), activation='relu'),\n", + " #activity_regularizer=regularizers.l1(0.00001)),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Conv2D(32, (3, 3), activation='relu'),\n", + " #activity_regularizer=regularizers.l1(0.00001)),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Conv2D(64, (3, 3), activation='relu'),\n", + " #activity_regularizer=regularizers.l1(0.00001)),\n", + " MaxPooling2D(pool_size=(2, 2)),\n", + " Dropout(0.25),\n", + " Flatten(),\n", + " Dense(128, activation='relu'),\n", + " Dropout(0.25),\n", + " Dense(output_size)]\n", + " )\n", + "\n", + " # Definition of the optimizer\n", + " if optimizer == \"SDG\" :\n", + " opt = SGD(lr=lr)\n", + " elif optimizer == \"Adam\" :\n", + " opt = Adam(lr=lr)\n", + "\n", + " # Compilation of the model\n", + " model.compile(loss='mean_squared_error',\n", + " metrics=['accuracy'],\n", + " optimizer=opt)\n", + " \n", + " return model" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "acXTCy0OuloQ", + "colab_type": "code", + "outputId": "1a33a9c4-78ef-4ef2-feb3-739c9405d341", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 422 + } + }, + "cell_type": "code", + "source": [ + "epochs = 100\n", + "batch_size = 32\n", + "validation_split=0.25\n", + "lr = 0.001\n", + "\n", + "# Configures the model for training\n", + "model_reg_ADAM = convolutional_regressor(input_size, output_size, optimizer=\"Adam\", lr=lr)\n", + "\n", + "# Trains the model for a given number of epochs (iterations on a dataset)\n", + "history_reg_ADAM = model_reg_ADAM.fit(X_train, Y_train, validation_split=validation_split, \n", + " epochs=epochs, batch_size=batch_size, verbose=0)\n", + "\n", + "# Returns the loss value & metrics values for the model in train and test mode.\n", + "eval_reg_ADAM = model_reg_ADAM.evaluate(X_train,Y_train)\n", + "print(\"Train loss: \", eval_reg_ADAM[0], \"\\t Train accuracy: \", eval_reg_ADAM[1])\n", + "eval_reg_ADAM = model_reg_ADAM.evaluate(X_test,Y_test)\n", + "print(\"Test loss: \", eval_reg_ADAM[0], \"\\t Test accuracy: \", eval_reg_ADAM[1])\n", + "\n", + "# Generate loss & accuracy plots for training & validation\n", + "visualization(history_reg_ADAM)" + ], + "execution_count": 30, + "outputs": [ + { + "output_type": "stream", + "text": [ + "300/300 [==============================] - 0s 138us/step\n", + "Train loss: 0.032431484311819074 \t Train accuracy: 0.576666665871938\n", + "300/300 [==============================] - 0s 130us/step\n", + "Test loss: 0.03492827629049619 \t Test accuracy: 0.6033333341280619\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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qewM8RVGwWwxjWqK5q9nHG/UeTp5m5awZBRnfr3cP3siCKj17B7HATP+e9ODV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ZeyYcOGUR0zIWgFb0qxJjcBr4R99d309Ju8VdlBXpKDFVmuAfsFK3gWb1Wqm8leCW8caZ+4RWs0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\ndzaWB3r5NXpN5m0sI9Jh0DfawaLtVYxPi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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5bfd7fef0>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "cUzVik-IuloU", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We visualize a training sample (or a prediction) by calling the *visualize_prediction* function." + ] + }, + { + "metadata": { + "id": "RREmVRQXuloV", + "colab_type": "code", + "outputId": "0f61bd4e-f5a4-483d-8615-13144b6d0782", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 324 + } + }, + "cell_type": "code", + "source": [ + "# Plot five predictions\n", + "Y_test_pred = model_reg_ADAM.predict(X_test)\n", + "\n", + "# Plot 5 elements of the training set\n", + "width = np.sqrt(X_train[0].size).astype(int)\n", + "height = width\n", + "\n", + "# Plot 5 elements of the training set\n", + "f, axarr = plt.subplots(2, 5)\n", + "for i in range(5) :\n", + " axarr[0, i].grid(linestyle=' ')\n", + " visualize_prediction(X_test[i], Y_test[i], axarr[0, i])\n", + " \n", + "for i in range(5) :\n", + " axarr[1, i].grid(linestyle=' ')\n", + " visualize_prediction(X_test[i], Y_test_pred[i], axarr[1, i])" + ], + "execution_count": 31, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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1HeR3gdq5c+Oha4BhX5XZIxcvhl1Y/4YuW8bQZcvouPxyOspWtIj3B/ZVmY3o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\nz7hx40py3z3VsW3bNv793/89LbdlyxY+97n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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff5bf9ff3c8>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "SRBSOcyouloZ", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Conclusion**:\n", + "\n", + "- Not too bad with some satisfactory results.\n", + "- Trouble with degenerative triangles (flatten triangles)." + ] + }, + { + "metadata": { + "id": "rB7qpl4wulob", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "---\n", + "## 6. Image Denoising" + ] + }, + { + "metadata": { + "id": "sqybe2Rmulod", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We modify the *generate_a_\\** functions to generate pairs of images, where one image has noise with random amplitude, and the second image has the same content but without the noise." + ] + }, + { + "metadata": { + "id": "ZVbJF6E9ulod", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "def generate_a_rectangle_pairs(noise=0.0, free_location=False):\n", + " figsize = 1.0\n", + " U = np.zeros(4)\n", + " V = np.zeros(4)\n", + " if free_location:\n", + " corners = np.random.random(4)\n", + " top = max(corners[0], corners[1])\n", + " bottom = min(corners[0], corners[1])\n", + " left = min(corners[2], corners[3])\n", + " right = max(corners[2], corners[3])\n", + " else:\n", + " side = (0.3 + 0.7 * np.random.random()) * figsize\n", + " top = figsize/2 + side/2\n", + " bottom = figsize/2 - side/2\n", + " left = bottom\n", + " right = top\n", + " U[0] = U[1] = top\n", + " U[2] = U[3] = bottom\n", + " V[0] = V[3] = left\n", + " V[1] = V[2] = right\n", + " return generate_a_drawing(figsize, U, V, noise), generate_a_drawing(figsize, U, V, 0.0)\n", + "\n", + "\n", + "def generate_a_disk_pairs(noise=0.0, free_location=False):\n", + " figsize = 1.0\n", + " if free_location:\n", + " center = np.random.random(2)\n", + " else:\n", + " center = (figsize/2, figsize/2)\n", + " radius = (0.3 + 0.7 * np.random.random()) * figsize/2\n", + " N = 50\n", + " U = np.zeros(N)\n", + " V = np.zeros(N)\n", + " i = 0\n", + " for t in np.linspace(0, 2*np.pi, N):\n", + " U[i] = center[0] + np.cos(t) * radius\n", + " V[i] = center[1] + np.sin(t) * radius\n", + " i = i + 1\n", + " return generate_a_drawing(figsize, U, V, noise), generate_a_drawing(figsize, U, V, 0.0)\n", + "\n", + "def generate_a_triangle_pairs(noise=0.0, free_location=False):\n", + " figsize = 1.0\n", + " if free_location:\n", + " U = np.random.random(3)\n", + " V = np.random.random(3)\n", + " else:\n", + " size = (0.3 + 0.7 * np.random.random())*figsize/2\n", + " middle = figsize/2\n", + " U = (middle, middle+size, middle-size)\n", + " V = (middle+size, middle-size, middle-size)\n", + " imdata = generate_a_drawing(figsize, U, V, 0.0)\n", + " imdata_2 = generate_a_drawing(figsize, U, V, noise)\n", + " return [imdata_2, [U[0], V[0], U[1], V[1], U[2], V[2]]], [imdata, [U[0], V[0], U[1], V[1], U[2], V[2]]]\n", + "\n", + "def generate_dataset_denosing(nb_samples, noise=0.0, free_location=False):\n", + " # Getting im_size:\n", + " im_size = generate_a_rectangle().shape[0]\n", + " X = np.zeros([nb_samples,im_size])\n", + " Y = np.zeros([nb_samples,im_size])\n", + " for i in tqdm(range(nb_samples), desc='Creating data'):\n", + " category = np.random.randint(3)\n", + " if category == 0:\n", + " X[i], Y[i] = generate_a_rectangle_pairs(noise, free_location)\n", + " elif category == 1:\n", + " X[i], Y[i] = generate_a_disk_pairs(noise, free_location)\n", + " else:\n", + " [X[i], V1], [Y[i], V2] = generate_a_triangle_pairs(noise, free_location)\n", + " X = (X + noise) / (255 + 2 * noise)\n", + " Y = (Y + noise) / (255 + 2 * noise)\n", + " return [X, Y]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "7atMB10Xulof", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "The shapes are allowed to move within the images and change dimensions. We generate the new training sets, one image has noise with random amplitude, and the second image has the same content but without the noise.." + ] + }, + { + "metadata": { + "id": "bRSomSQWulog", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Define the input and output size\n", + "input_size = IMAGE_SIZE\n", + "output_size = IMAGE_SIZE" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "7WFF-CRguloj", + "colab_type": "code", + "outputId": "fa62ed82-13db-4e20-c8e4-6b567520e3bc", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 52 + } + }, + "cell_type": "code", + "source": [ + "# Generate training and test sets (2x 300 samples with noise)\n", + "[X_train, Y_train] = generate_dataset_denosing(1000, 20, True)\n", + "[X_test, Y_test] = generate_dataset_denosing(100, 20, True)" + ], + "execution_count": 35, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Creating data: 100%|██████████| 1000/1000 [01:25<00:00, 12.72it/s]\n", + "Creating data: 100%|██████████| 100/100 [00:07<00:00, 13.32it/s]\n" + ], + "name": "stderr" + } + ] + }, + { + "metadata": { + "id": "MZlFOtlTulop", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "# Generate training and test sets (2x 300 samples with noise and with move)\n", + "X_train = X_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", + "X_train = X_train.astype('float32')\n", + "\n", + "X_test = X_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", + "X_test = X_test.astype('float32')\n", + "\n", + "Y_train = Y_train.reshape(X_train.shape[0], input_size, input_size, 1)\n", + "Y_train = Y_train.astype('float32')\n", + "\n", + "Y_test = Y_test.reshape(X_test.shape[0], input_size, input_size, 1)\n", + "Y_test = Y_test.astype('float32')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "Gi3lQIHeulox", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We propose to visualize some images in the training set of images." + ] + }, + { + "metadata": { + "id": "11tlegfLulo0", + "colab_type": "code", + "outputId": "1624beda-fbe3-47d1-e8d4-28d429c94d6a", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 323 + } + }, + "cell_type": "code", + "source": [ + "# Plot 5 elements of the training set\n", + "width = np.sqrt(X_train[0].size).astype(int)\n", + "height = width\n", + "\n", + "f, axarr = plt.subplots(2, 5)\n", + "for i in range(5) :\n", + " img_i = X_train[i].reshape(width, height)\n", + " axarr[0, i].grid(linestyle=' ')\n", + " axarr[0, i].imshow(img_i, cmap=\"Greys_r\")\n", + " #axarr[0, i].title(\"Image n°\"+str(i+1)+\" with noise\")\n", + "for i in range(5) :\n", + " img_i = Y_train[i].reshape(width, height)\n", + " axarr[1, i].grid(linestyle=' ')\n", + " axarr[1, i].imshow(img_i, cmap=\"Greys_r\")\n", + " #axarr[1, i].title(\"Image n°\"+str(i+1)+\" without noise\")" + ], + "execution_count": 37, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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p/p1iM5ubm6Xs7xhbT3GhLMj2tReJhfJYY5v1s03Je6lftG5WKZnl3d3dgRiE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KYj9rvYLK7ddv3MqO3e5DtTxdbjxToU2u3Gr+ux8e+PU3ZfUk1Zfmk0M+PXhdj9pl+vG8tmBjYD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\nc5///OclS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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff58fb13f60>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "cEB_swM4ulo6", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "We define *hourglass_network* function in order to denosing the image." + ] + }, + { + "metadata": { + "id": "dCDnD_zUulo7", + "colab_type": "code", + "colab": {} + }, + "cell_type": "code", + "source": [ + "#==================================================================================================#\n", + "# hourglass_network(input_size, optimizer, lr)\n", + "#\n", + "# WHAT: Configures the model for training\n", + "#\n", + "# INPUT:\n", + "# - input_size\n", + "# - optimizer\n", + "# - lr\n", + "#==================================================================================================#\n", + "def hourglass_network(input_size, optimizer, lr) :\n", + " \n", + " # Definition of the model\n", + " model = Sequential([\n", + " Conv2D(32, (3, 3), activation='relu', padding='same', input_shape=(input_size, input_size, 1),\n", + " activity_regularizer=regularizers.l1(0.001)),\n", + " MaxPooling2D((2, 2), strides=(2,2)),\n", + " Dropout(0.25),\n", + " Conv2D(32, (3, 3), activation='relu', padding='same',\n", + " activity_regularizer=regularizers.l1(0.001)),\n", + " MaxPooling2D((2, 2), strides=(2,2)),\n", + " Dropout(0.25),\n", + " Conv2D(32, (3, 3), activation='relu', padding='same',\n", + " activity_regularizer=regularizers.l1(0.001)),\n", + " UpSampling2D((2, 2)),\n", + " Dropout(0.25),\n", + " Conv2D(32, (3, 3), activation='relu', padding='same',\n", + " activity_regularizer=regularizers.l1(0.001)),\n", + " UpSampling2D((2, 2)),\n", + " Dropout(0.25),\n", + " Conv2D(1, (3, 3), activation='sigmoid', padding='same',\n", + " activity_regularizer=regularizers.l1(0.001))\n", + " ]\n", + " )\n", + "\n", + " # Definition of the optimizer\n", + " if optimizer == \"SDG\" :\n", + " opt = SGD(lr=lr)\n", + " elif optimizer == \"Adam\" :\n", + " opt = Adam(lr=lr)\n", + "\n", + " # Compilation of the model\n", + " model.compile(loss='binary_crossentropy',#'mean_squared_error',\n", + " metrics=['accuracy'],\n", + " optimizer=opt)\n", + " \n", + " return model" + ], + "execution_count": 0, + "outputs": [] + }, + { + "metadata": { + "id": "ISqQoZrhulpC", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 422 + }, + "outputId": "fdeed8c6-e845-4e5c-9539-cf184e38c30b" + }, + "cell_type": "code", + "source": [ + "epochs = 200\n", + "batch_size = 32\n", + "validation_split = 0.25\n", + "lr = 0.0001\n", + "\n", + "# Configures the model for training\n", + "model_hourglass = hourglass_network(input_size, optimizer=\"Adam\", lr=lr)\n", + "\n", + "# Trains the model for a given number of epochs (iterations on a dataset)\n", + "history_hourglass = model_hourglass.fit(X_train, Y_train, validation_split=validation_split, \n", + " epochs=epochs, batch_size=batch_size, verbose=0)\n", + "\n", + "# Returns the loss value & metrics values for the model in train and test mode.\n", + "eval_hourglass = model_hourglass.evaluate(X_train,Y_train)\n", + "print(\"Train loss: \", eval_hourglass[0], \"\\t Train accuracy: \", eval_hourglass[1])\n", + "eval_hourglass = model_hourglass.evaluate(X_test,Y_test)\n", + "print(\"Test loss: \", eval_hourglass[0], \"\\t Test accuracy: \", eval_hourglass[1])\n", + "\n", + "# Generate loss & accuracy plots for training & validation\n", + "visualization(history_hourglass)" + ], + "execution_count": 39, + "outputs": [ + { + "output_type": "stream", + "text": [ + "1000/1000 [==============================] - 0s 328us/step\n", + "Train loss: 64.21048550415038 \t Train accuracy: 0.0\n", + "100/100 [==============================] - 0s 530us/step\n", + "Test loss: 62.3639075088501 \t Test accuracy: 0.0\n" + ], + "name": "stdout" + }, + { + "output_type": "display_data", + "data": { + "image/png": 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t3rxZf//732WxWJSamqrs7GxJ0oIFC/T111/L5/NpxIgRuuyyy0IVHwCAVq9m\nzqA3IkoqpGcQAMwmJD2D27dv14EDB5STk6Px48dr3rx5tY7PmzdPkydP1vTp07V582bt379fW7du\n1b59+5STk6NHH31U8+fPD0V0AABwUqBn0OGiZxAATCgkPYNbtmzRpZdeKknq2LGjysrKdOzYMblc\nLhUUFCg6Olpt27aVJKWmpmrLli0aNmxYoPcwKipK5eXl8vl8slgY6QoAQCjUFIPHHS6pskL+qioZ\nVmuIUwEA6iskxaDH41GXLl0Cr91utzwej1wulzwej9xud+BYbGysDhw4IIvFIqfTKUlauXKlUlNT\n610IJiYmNjlzc1wjWMyUVTJXXjNllcyV10xZJXPlNVNWyXx5W7PAaqL2yOqG8uOSKzqEiQAADREW\n+wz6/f56H/viiy+0cuVKTZ06td7Xz8/Pb3Q2qfqDSVOvESxmyiqZK6+ZskrmymumrJK58popq9S0\nvBSRwec8OWew3BZR3eD1UgwCgImEZIxlfHy8PB5P4PXRo0cVHx9/xmOFhYVKSEiQJG3cuFFLlizR\no48+KpfLFdzQAACglsAwUVv1yB02ngcAcwlJMdirVy+tW7dOkrRnzx7Fx8crMrJ6iEn79u11/Phx\nHTx4UFVVVdqwYYMuueQSHTt2TAsWLNDvf/97RUfzrSMAAKEW2GfQ6qhu8LKiKACYSUiGiaakpKhL\nly6aOnWqDMPQ2LFjtWrVKrlcLqWnp2vcuHF69tlnJUn9+vVTYmKiPvjgA5WUlOjpp58OXGfixImB\nhWYAAEBw1WwtcdywVzd4j4UwDQCgoUI2Z3D06NG1Xnfu3Dnwc48ePZSTk1PreFZWlrKysoIRDQAA\n1EOE9eQCMpaTHyfK6RkEADNhXwYAANAoVoshp90i78nvlv3sNQgApkIxCAAAGs1lt8qrk3sL0jMI\nAKZCMQgAABot0m6V13/y4wQ9gwBgKhSDAACg0VwOm477q1cVZWsJADAXikEAANBokXarvFWG/BI9\ngwBgMhSDAACg0VwOq3ySKi025gwCgMlQDAIAgEaLtFcvHuO1OugZBACToRgEAACN5nLUFIMR8tMz\nCACmQjEIAAAaLcpRvcdgmc1JzyAAmAzFIAAAaLQYZ3UxWOp0UwwCgMlQDAIAgEZzO+2SpLLIWLaW\nAACTsYU6AAAAOLPy8nLNmjVLRUVFqqys1MiRI3XBBRdo5syZ8vl8iouL06RJk2S327VmzRotX75c\nhmEoKytLmZmZQcnoPrVnsHhXUO4JAGgeFIMAAISp9evXKykpSTfccIMOHTqkGTNmKCUlRcOGDVO/\nfv302muv6aOPPtKAAQO0ePG6uJMvAAAgAElEQVRi5ebmymazacqUKUpPT1d0dHSLZwwME410S8dL\nW/x+AIDmwzBRAADC1OWXX64bbrhBknTkyBElJCRo27ZtSktLkySlpaVp8+bN2rVrl5KSkuRyueRw\nOJSSkqIdO3YEJWPsyWGipRExUkWF/BXlQbkvAKDpKAYBAAhzU6dO1bPPPqsxY8aovLxcdnt1AeZ2\nu+XxeOTxeOR2uwPvr2kPhpqewTJHVHXDMXoHAcAsGCYKAECYmzFjhr799ls999xz8vv9zXbdxMTE\nJl/jUGl1T+BxZ4wkqX2US/ZmuG5LaY7fOVjMlFUyV14zZZXMlddMWSVz5W2JrBSDAACEqT179sjt\ndqtt27bq3LmzqqqqFBkZqYqKCjkcDhUWFio+Pl7x8fG1egILCwuVnJxc5/Xz8/ObnDGhXQdJUpG/\n+iPFwb17ZNgjm3zdlpCYmNgsv3MwmCmrZK68ZsoqmSuvmbJK5srb1KxnKyQZJgoAQJjavn27li1b\nJknyeDzyer3q2bOn1q1bJ0lat26devfureTkZO3evVtlZWXyer3Ky8tT9+7dg5LRabfKYTVUZnFU\nNzBMFABMg55BAADC1NChQzVnzhz94Q9/UEVFhcaOHaukpCTNnDlTH3zwgdq2bauBAwfKZrNp9OjR\nysnJkWEYys7OlsvlClrOKIdVpZXVHyn8ZaUygnZnAEBTUAwCABCmHA6H7rvvvtPap02bdlpbRkaG\nMjIyghHrNDEOiwrLrdUv6BkEANNgmCgAAGiSaIdVZT5DPhlSWUmo4wAA6qnOYvDLL7/UiRMngpEF\nAACYUJTDKr8MHbdF0DMIACZSZzH4xhtv6M4779Ts2bO1ceNG+Xy+YOQCAAAmERNR/XGixOaSyigG\nAcAs6pwzmJubq8OHD+uLL77Q22+/rVmzZiktLU39+/fXRRddJMNgmjgAAK1ZlKN6vmCZLVJ+egYB\nwDTqtYBM27ZtdfXVV+vqq6/Whg0b9MILL2jlypVKSEjQkCFD9Mtf/lJ2u72lswIAgDAUfbIYLI2I\npmcQAEykXsXgd999p48//lgff/yxqqqq1K9fP11xxRVq06aNFi5cqGeffVYPPvhgS2cFAABhKKam\nGIxOkMr+HeI0AID6qrMYnDx5sjwejy677DJNmDBB3bt3rzU09M4779SkSZNaNCQAAAhfUY7qOYOl\nkbHSEVYTBQCzqLMYHD16tC655BLZbNVv9fl8OnHiRK1hoTNmzGi5hAAAIKzVDBMti3RLZWXy+3wy\nLOxeBQDhrs5/qW02m+666y55vV5J0pEjR3TXXXdp8+bNgffExsa2XEIAABDWYiJODhN1REt+n+Q9\nHuJEAID6qLMYfOWVVzRt2jQ5nU5JUrt27fT444/rlVdeafFwAAAg/AWGiTqiqhtYURQATKHOYtDr\n9apz58612jp27Khjx461VCYAAGAigWGi1sjqBlYUBQBTqHPOYMeOHfXaa6+pf//+ioqKUnFxsVat\nWnVagQgAAFqnmmKwxBpR3UDPIACYQp3F4IQJE/Tqq6/qT3/6k0pKShQTE6O0tDRNnDgxGPkAAECY\ns1kMOW0WlclR3VDGiqIAYAZ1FoMxMTEaP378ae3r1q1TRkZGi4QCAADmEuOwqLSi+mOFv6xURh3v\nBwCEXp3FoM/n0yeffKKCggL5/X5J1fMIP/zwQ4pBAADqsH//fm3YsEHXX3+9vvvuOz3//POyWCwa\nM2aMLrzwwlDHazZup1X7j59cioBhogBgCnUuIDN79mwtWbJEBw4c0Lvvvqv8/Hx9+umnuvvuu4OR\nDwAAU5szZ47at28vSXrhhReUmpqqG2+8US+88EKIkzUvd4RN5X5DXoudYaIAYBJ1FoN5eXl64okn\ndM899yguLk733nuvHnroIW3cuDEY+QAAMLVjx44pIyNDRUVF+ve//60bbrhBvXv31vHjP6+9+GJP\n7jVY7IhmNVEAMIk6i0Gr1SqLpfptPp9PVVVV6ty5s3bs2NHi4QAA+DkoLy/Xxx9/rEsuuURWq1Un\nTpzQiRMnQh2rWcU6q4vBInuU/KX0DAKAGdRZDF588cV65JFHVFVVpQsvvFBz5szR22+/rcrKymDk\nAwDA1IYNG6bx48frjTfe0E033SRJ+stf/qJLL700xMmal9tZvQxBsSNGKi0OcRoAQH3UuYDM2LFj\n9fnnn8tqteqOO+7Q//t//095eXm65557gpEPAABTGz58uK666irZ7XZZrdW9Z9nZ2Tr//PNDnKx5\n1QwTLYppK5XuCXEaAEB91FkMvvfee7rmmmskSW63W7/97W+b5cbz58/Xzp07ZRiGxowZo65duwaO\nbd68WX//+99lsViUmpqq7OzsOs8BACAcnW010dtvv12dO3cOdbxmUzNMtNgVLx2mZxAAzKDOYaJr\n165VaWnzTgTfvn27Dhw4oJycHI0fP17z5s2rdXzevHmaPHmypk+frs2bN2v//v11ngMAQDg622qi\nf/vb30KcrHnF1gwTjYyVykrl91WFOBEAoC519gxecMEFeuihh9S1a1dFR0fXOnbXXXc16qZbtmwJ\nzJXo2LGjysrKdOzYMblcLhUUFCg6Olpt27aVJKWmpmrLli0qLi4+6zkAAISrH68m+oc//EFWq1Wv\nvPJKqKM1K3fNMNEIt+T3V68oGhMb4lQAgJ9SZzGYkJCgzMzMZr2px+NRly5dAq/dbrc8Ho9cLpc8\nHo/cbnfgWGxsrA4cOKCSkpKzntOSXvz7Sn3qjZK/Re/SfAzJNFklc+U1U1bJXHnNlFUyV16zZL3c\nWaY7ft28z5pw0ppWEy22R1U3lBZTDAJAmKuzGLz55ptbPITff/aPKmc79lPn/FhiYmKDM9VwOOyS\nt/oDlVmYKatkrrxmyiqZK6+ZskrmymuGrA6HPfBvdVP+zQ5HNauJWiwWTZs2TVLDVhNdsGCBvv76\na/l8Po0YMUJffvml9uzZo5iYGEnS9ddfrz59+mjNmjVavny5DMNQVlZWs3+RW5dIm0V2i6EiRVY3\nlBRJ53YKagYAQMPUWQzee++9Mowzf5R49tlnG3XT+Ph4eTyewOujR48qPj7+jMcKCwuVkJAgm812\n1nPqkp+f36ickvQfI6/Uw4mJTbpGMCWaKKtkrrxmyiqZK6+ZskrmymumrPn5+U3KG65FZFNWE926\ndav27dunnJwclZSU6OGHH9bFF1+sUaNGqW/fvoH3eb1eLV68WLm5ubLZbJoyZYrS09NPm97RkgzD\nkNtpVZHXUd3A9hIAEPbqLAbHjx9f63VpaanWrl2rnj17NvqmvXr10sKFCzVkyBDt2bNH8fHxioys\n/iaxffv2On78uA4ePKg2bdpow4YNmjRpkkpKSs56DgAA4crv9+vLL7/Upk2bVFxcrNjYWPXp06de\nxWCPHj0CK2dHRUWpvLxcPp/vtPft2rVLSUlJgakTKSkp2rFjh9LS0pr3l6lDnNOq/cerC15/SbEp\neqUBoDWrsxjs0aPHaW1paWn6z//8Tw0ZMqRRN01JSVGXLl00depUGYahsWPHatWqVXK5XEpPT9e4\nceMCvY79+vULfNv743MAAAh3r7zyinbs2KErrrhC0dHRKikp0Ztvvql9+/bVORXDYrHI6XRKklau\nXKnU1FRZLBatWLFCy5YtU2xsrO64447T5tvXzKuvS3P1ptZcp537oHYXlqvcYld7wy93GPbWhmsP\n8pmYKatkrrxmyiqZK6+ZskrmytsSWessBs+ktLRUhw4datKNR48eXev1qXst9ejRQzk5OXWeAwBA\nuNu4caP++7//Ww6HI9A2ePBgPfroo/Wel//FF19o5cqVmjp1qnbv3q2YmBh17txZS5cu1aJFi5SS\nktKobM0xhPjUob1OVS+KU2SPkjN/v0rDbIiymYZNmymrZK68ZsoqmSuvmbJK5srb1KxnKyQbPGfQ\n5/Pp6NGjGjRoUKPDAADQWvh8Ptnt9lptDoej3guhbdy4UUuWLNFjjz0ml8tVa5pGWlqann/+eWVk\nZJw23z45Obl5foEGqFlRtMgRrQ7MGQSAsNfgOYMWi0VxcXE655xzWiwUAAA/FxdddJH+/Oc/Kysr\nKzBMdOXKlbrooovqPPfYsWNasGCBpk2bFlgM5qmnntKtt96qDh06aNu2berUqZOSk5M1d+5clZWV\nyWq1Ki8vT2PGjGnh3+x07pqN5+3R8lMMAkDYq7MY7Natm9577z1de+21slgsKioq0kcffaTrrrtO\nNlujRpkCANBqjBkzRu+++67eeeedWgvIXH311XWe+8knn6ikpERPP/10oO2qq67SM888I4fDIafT\nqQkTJsjhcGj06NHKycmRYRjKzs5u8X14zyT25MbzxZGxUsnhoN8fANAwdVZzc+fOVXl5ua6++mpZ\nLBY5HA599913mjNnjiZNmhSMjAAAmJbdbteIESM0YsSIWu15eXl1zvXLyspSVlbWae1XXXXVaW0Z\nGRnKyMhoUtamCgwTjW4rHdoT0iwAgLpZ6nrDrl27NHny5EAvYGRkpCZNmqRdu3a1eDgAAH6u5s6d\nG+oIzS62ZphoZJxUWhTiNACAutRZDPr9/tOWpz5y5MgZ9zkCAACtV80w0SJnjFRRIX95eYgTAQB+\nSp3DRG+66SY99NBDSklJkcvlUklJifLy8vTb3/42GPkAAIBJxEVWf6zw2KsXu1FpkRTRPoSJAAA/\npc5icODAgerRo4c2bdqkkpISdevWTXfeeacSEhKCkQ8AAFMqLCz8yeM/xxE2TptFkTaLjurk4jWl\nxVIbikEACFd1FoMnTpzQunXrWE0UAIAGuPvuu0MdISTiI63ylEZUvyhhewkACGesJgoAQAt4/fXX\nQx0hJOKcNh0osalKhoySIhmhDgQAOCtWEwUAAM0mPtImnwwVOaKl4qOhjgMA+AmsJgoAAJpNfM0i\nMo4YyUMxCADhrMGriRYXF+ubb75hNVEAAHCaeOcpxWDRTy+iAwAIrXqtJtq9e3dt3rxZJSUl6tix\no7p27aq33npLGRkZwcgIAABMIi6yeq/Bow63/EX0DAJAOKtzmKgktWnTRjExMdq5c6eWLVumgwcP\n6qabbmrpbAAAwGQSTg4TPRrTVqIYBICw9pM9gzt37tTq1av11VdfqUePHtq2bZvmzZsni6VeNSQA\nAGhl4mqGiUa1kfYxTBQAwtlZi8GHH35Ybdu21RVXXKHf/OY3cjgc+vLLLykEAQDAWQUWkHHGSd7j\n8pd7ZUQ4Q5wKAHAmZ63sIiIiVFVVpYqKClYOBQAA9eKOsMpiSEcdMdUNDBUFgLB11p7B6dOna9++\nfVq9erUefvhhJSUlyefzyefz0TsIAADOyGoxFBthlac8srqh6KjU/tzQhgIAnNFPzhns1KmT/uM/\n/kOjRo3Spk2b5PP5dNddd+niiy/WpZdeqssvvzxYOQEAgEnERdr0Q7mj+gXbSwBA2KpzawlJslgs\nSk1NVWpqqsrKyvTxxx9r+fLlFIMAAOA0CZE27T1q0XGrQ66iozJCHQgAcEb1KgZPFRUVpaFDh2ro\n0KEtkQcAAJhc3Ckbz7voGQSAsMXkPwAA0KwCK4o6YiQPC8gAQLiiGAQAAM0qPtIqqXpFUT+riQJA\n2KIYBAAAzapNpF2SdCS6HQvIAEAYoxgEAADNqm1U9TDRwzHt2WcQAMIYxSAAAGhW7VzVPYOHIttI\npcXyn6gMcSIAwJk0eDVRAAAQPAsWLNDXX38tn8+nESNGKCkpSTNnzpTP51NcXJwmTZoku92uNWvW\naPny5TIMQ1lZWcrMzAxZZrfTKrvF0GFHbHVDkUdq0y5keQAAZ0YxCABAmNq6dav27dunnJwclZSU\n6OGHH1bPnj01bNgw9evXT6+99po++ugjDRgwQIsXL1Zubq5sNpumTJmi9PR0RUdHhyS3xTDUNsqm\nwyWu6gbPEYpBAAhDDBMFACBM9ejRQw888ICk6n1+y8vLtW3bNqWlpUmS0tLStHnzZu3atUtJSUly\nuVxyOBxKSUnRjh07QhldbV12eeRQpWGVjh4OaRYAwJlRDAIAEKYsFoucTqckaeXKlUpNTVV5ebns\n9uo5eW63Wx6PRx6PR263O3BeTXsotTu5iMyRiFj5jx4JaRYAwJkxTBQAgDD3xRdfaOXKlZo6daru\nvffeZrtuYmJii13nwg5eaU+xDjnj1bXSq/hmuldTNdfvHAxmyiqZK6+ZskrmymumrJK58rZEVopB\nAADC2MaNG7VkyRI99thjcrlccjqdqqiokMPhUGFhoeLj4xUfH1+rJ7CwsFDJycl1Xjs/P7/J+RIT\nE894HafPK0k6HBGnsn3/1vFmuFdTnS1rODJTVslcec2UVTJXXjNllcyVt6lZz1ZIMkwUAIAwdezY\nMS1YsEC///3vA4vB9OzZU+vWrZMkrVu3Tr1791ZycrJ2796tsrIyeb1e5eXlqXv37qGMrrauk3sN\nRsbLz5xBAAhL9AwCABCmPvnkE5WUlOjpp58OtN1zzz2aO3euPvjgA7Vt21YDBw6UzWbT6NGjlZOT\nI8MwlJ2dLZfLFcLkUruo6nmNh2M6SN9vCmkWAMCZUQwCABCmsrKylJWVdVr7tGnTTmvLyMhQRkZG\nMGLVS9uajeddbSTPEfl9VTIs1hCnAgCcimGiAACg2UXaLYp2WHQ4Ilby+aTi0K5uCgA4HcUgAABo\nEe2i7DpscckvSWwvAQBhh2IQAAC0iLYuu7yyqswWycbzABCGKAYBAECLqNl4/lBEHBvPA0AYohgE\nAAAtomYRmcPOOHoGASAMhWQ10RMnTmj27Nk6dOiQLBaLJkyYoA4dOtR6z5o1a7R8+XIZhqGsrCxl\nZmaqqqpKc+bMUUFBgXw+n2699Vb94he/CMWvAAAA6hDYXiIijjmDABCGQtIzuHbtWrlcLk2fPl03\n3XSTXnvttVrHvV6vFi9erGnTpumPf/yj3n33XZWWlupf//qXnE6npk+frvHjx+ull14KRXwAAFAP\n7Wo2nney8TwAhKOQFINbt25Venq6JKlnz57Ky8urdXzXrl1KSkqSy+WSw+FQSkqKduzYoSuvvFK/\n+c1vJElut1ulpaVBzw4AAOqnbWDj+fZSIcUgAISbkAwT9Xg8crvdkiSLxSLDMHTixAnZbLbTjkvV\nhZ/H4wkcl6R3331X/fv3r9f9EhMTm5y5Oa4RLGbKKpkrr5mySubKa6askrnymimrZL68OLuESJss\nBhvPA0C4avFi8MMPP9TKlStrte3cubPWa7/f36BrrlixQnv37tUjjzxSr/fn5+c36Po/lpiY2ORr\nBIuZskrmymumrJK58popq2SuvGbKKjUtL0Vk+LFaDCVE2nS4yi1VVUmeQimhXahjAQBOavFicPDg\nwRo8eHCttlmzZsnj8UiqXkzG7/fX6vWLj48PHJekwsJCJScnS5JWrlyp9evX66GHHqp1DgAACD/t\nouzKO+ZUlWGR5cghikEACCMhmTPYq1cvrVu3TpK0fv16XXTRRbWOJycna/fu3SorK5PX61VeXp66\nd++ugoIC/fOf/9SDDz4oh8MRiugAAKAB2rns8snQUUeM/IWHQh0HAHCKkHStXX755dq8ebOmTZsm\nu92uCRMmSJKWLl2qHj16qFu3bho9erRycnJkGIays7Plcrm0dOlSlZSUKDc3N3CtqVOn0kMIAECY\nanvKxvPtjhwMcRoAwKlCUkXV7C34YyNGjAj8nJGRoYyMjFrHR40apVGjRrV4PgAA0Dz+b+P5eOkI\nPYMAEE5CMkwUAAC0Du1O9gwejoiVv5CeQQAIJxSDAACgxQR6BqPb0TMIAGGGYhAAALSYdic3nj8U\n3V4qPNTg7aQAAC2HYhAAALSYaIdFTpuhQxFxUrlXKisJdSQAwEkUgwAAoMUYhqH2UXYdtEXLLzFU\nFADCCMUgAABoUefEOHRcNhXboyS2lwCAsEExCAAAWtQ50dXzBgucCWw8DwBhhGIQAAC0qHOiHZKk\nA5Ft6BkEgDBCMQgAAFrUuTHVPYMHItvIf+hAiNMAAGrYQh0AAACc3Xfffacnn3xS1157rYYPH65Z\ns2Zpz549iomJkSRdf/316tOnj9asWaPly5fLMAxlZWUpMzMzxMn/T03PYEF0e+nQzhCnAQDUoBgE\nACBMeb1ezZs3TxdffHGt9lGjRqlv37613rd48WLl5ubKZrNpypQpSk9PV3R0dLAjn1G7KLsshnQg\n+hxp5wH5/X4ZhhHqWADQ6jFMFACAMGW32zVlyhTFx8f/5Pt27dqlpKQkuVwuORwOpaSkaMeOHUFK\nWTe71VBbl10FEXFSRYVUVBjqSAAA0TMIAEDYslqtslqtp7WvWLFCy5YtU2xsrO644w55PB653e7A\ncbfbLY/HE8yodTon2q7NZZEqt9gUefCAFNcm1JEAoNWjGAQAwEQGDBigmJgYde7cWUuXLtWiRYuU\nkpLSqGslJiY2S6b6XKdLh2JtLjimAmcb9a70KqqZ7t1QzfU7B4OZskrmymumrJK58popq2SuvC2R\nlWIQAAAT6dmzZ+DntLQ0Pf/888rIyKjVE1hYWKjk5OQ6r5Wfn9/kPImJifW6jttSKal6RdGjO79W\n0UV96zij+dU3azgwU1bJXHnNlFUyV14zZZXMlbepWc9WSDJnEAAAE3nqqadUUFAgSdq2bZs6deqk\n5ORk7d69W2VlZfJ6vcrLy1P37t1DnLS2c05uL1EQ2UZiewkACAv0DAIAEKb27Nmjl19+WYcOHZLV\natW6des0fPhwPfPMM3I4HHI6nZowYYIcDodGjx6tnJwcGYah7OxsuVyuUMev5dyajeddbeU/tC3E\naQAAEsUgAABhq0uXLvrjH/94WntGRsYZ287UHi7OjakuBn9wJ0o7PghxGgCAxDBRAAAQBJF2ixIi\nbcqPbCOVlsh/rDTUkQCg1aMYBAAAQZHoduiQNUoVFhvzBgEgDFAMAgCAoEiMscsvQwecbeQvMMcK\nfgDwc0YxCAAAgiLx5LzBfFdb6cD+EKcBAFAMAgCAoEh0nywGI9tJB74PcRoAAMUgAAAIivNqVhSN\n6SD/D/tCnAYAQDEIAACCokO0Qxbj5PYSB76X31cV6kgA0KpRDAIAgKCwWw21j7IrPyJeOlEpHT4Y\n6kgA0KpRDAIAgKA5z+2Qx3CqzOqUfmARGQAIJYpBAAAQNDUriv7gais/K4oCQEhRDAIAgKA57+SK\novtcHSQWkQGAkKIYBAAAQdMlwSlJ2hNzHj2DABBiFIMAACBoOsdFyGJIexIulH7YJ7/fH+pIANBq\nUQwCAICgibBZ1NHt0N7IDvIdOyYdPRzqSADQalEMAgCAoEpKcMpr2PRDZFtp785QxwGAVotiEAAA\nBFXSqfMG9+SFOA0AtF4UgwAAIKi6UAwCQFigGAQAAEF1YXyEJGlPmyTpu13ynzgR4kQA0DpRDAIA\ngKBy2a1KjHFoT2QH+SsqpO//HepIANAqUQwCAICgS27jVJlh1z5XB/n3MlQUAEKBYhAAAATdJee4\nJElb4rtKzBsEgJCgGAQAAEHX65woSdLmtinyf7ONzecBIARsobjpiRMnNHv2bB06dEgWi0UTJkxQ\nhw4dar1nzZo1Wr58uQzDUFZWljIzMwPHPB6PHnjgAT344IO66KKLgh0fAAA0Ubsou86NsWubP0lV\nmw/L8sM+KfH8UMcCgFYlJMXg2rVr5XK5NH36dG3atEmvvfaaHnjggcBxr9erxYsXKzc3VzabTVOm\nTFF6erqio6MlSQsWLFD79u1DER0AgKD67rvv9OSTT+raa6/V8OHDdfjwYc2cOVM+n09xcXGaNGmS\n7Hb7T36JGq56nROlFSWV2hXTUb/Ysl4GxSAABFVIholu3bpV6enpkqSePXsqL6/2XIFdu3YpKSlJ\nLpdLDodDKSkp2rFjR+Bcp9Op88/ngQEA+Hnzer2aN2+eLr744kDbwoULNWzYMD3++OM655xz9NFH\nHwW+RJ02bZr++Mc/6t1331VpaWkIk9dPzbzBzfFd5d/yZYjTAEDrE5Ji0OPxyO12VwewWGQYhk6c\nssfQqcclye12y+Px6MSJE1q0aJF+/etfBz0zAADBZrfbNWXKFMXHxwfatm3bprS0NElSWlqaNm/e\n/JNfooaznh2iZEjaeG4vadd2+Y8fC3UkAGhVWnyY6IcffqiVK1fWatu5c2et1/WdNL506VINHjxY\nUVFRDcqQmJjYoPe31DWCxUxZJXPlNVNWyVx5zZRVMldeM2WVzJe3JVmtVlmt1lpt5eXlstvtkv7v\ny9KzfYka7twRVl3UwaWtBefqoN2tc7ZvlPpeHupYANBqtHgxOHjwYA0ePLhW26xZswIPqRMnTsjv\n98tm+78o8fHxtR5ihYWFSk5O1urVq+Xz+fT+++/rwIED2rVrl373u9+pU6dOP5khPz+/Sb9DYmJi\nk68RLGbKKpkrr5mySubKa6askrnymimr1LS8FJEN11x/Zk25zsg+hra+97VWdeirWz9dqfa/zG6W\nTGdjpr8nZsoqmSuvmbJK5sprpqySufK2RNaQLCDTq1cvrVu3Tr1799b69etPWxE0OTlZc+fOVVlZ\nmaxWq/Ly8jRmzBj17ds38J5Zs2bpqquuqrMQBADg58TpdKqiokIOh0OFhYWKj48/65eodWmOLwqa\n+oVD9xifnDZDH51/ubLXTNf3HyyX0aN3k3OdiZm+HDFTVslcec2UVTJXXjNllcyVt6lZz1ZIhmTO\n4OWXXy6fz6dp06bp/fff16hRoyRVDwP95ptv5HA4NHr0aOXk5Gj69OnKzs6Wy+UKRVQAAMJKz549\ntW7dOkkKfLGanJys3bt3q6ysTF6vV3l5eerevXuIk9ZPpN2iy893q8Aara9jL5RvycvsOQgAQRKS\nnsGavQV/bMSIEYGfMzIylJGRcdZr3HPPPS2SDf+/vXuPkbq+/z3+/H5n5vudmd3ZC6ACClXAejnS\netmqEC/YWCS9cFojtoKwNBEAABcRSURBVD3pxSh/VC00Un9pS9qKNafGU8vpBrBY29R6O42apnoa\nhBxCk9KaPS1tWnQr/hROVOT3Q1fYZXcu3+vn/DGXXWDlIrs7M93XI/lm5vvdmdn3fPOd73tf8/nM\nrIiINIo9e/bw2GOP8e6775JIJOjp6WHlypVs2LCBrVu3Mm3aNK699lqSyWTtTVTLspruTdTr57az\nbc8AP//of+OHf/oR2f/zHNbizx7/jiIickrqEgZFRETk+ObMmcOaNWuO2v69733vqG3HexO1kf2X\n07N88sMdbPp3+J8f+SrfevYXpGbMwpp/2fHvLCIiH1hdpomKiIiIjLT8sjO4eEYLO9rn8di8TxE/\n/D8wu3bWuywRkX9pCoMiIiJSdwnb4t+umslZbQ7/+8yr2HzapUTd9xK/8Czm1Zcx772LCYN6lyki\n8i9F00RFRESkIbQ6Cb676Cz+bcsb/Gzef2Xr9C66/vZPOnv+nQ5/kA5/kM6kob3FwW1vx2rvhPap\n0DEFq70DWtsh1w65Nsi2Ytl6z1tE5FgUBkVERKRhzMg5/PfrZ/O/dvbxf986kz2tZ456u2xYpNMf\npGPfILk3hmgL3iEX5GkLCuSCPLmwSFsScq5NLuOQbc1w4IyZxHYSWtsg14ZVDY6t7dCaw0qmJvjZ\niojUl8KgiIiINJQPdbh8+5ozea8QsPeQz8FiSH8p5GAxor8YcrAUcrCQor+Y5e3g9BN6zEQckeuv\nBMW9BdqC/eSC/1deDwq0BXlyhORS0OImaHWT5DIOydZWaMnVFqs1By0jtmVbsZL6c0pEmpPOXiIi\nItKQpmZTTM0ee7QujA1DXsQhP2KwVLn0Ig55w5eHSgGDxYBC4HKw2MpbkXXCNaQjj9YDBVreKZIL\nirSEB2gNi7QGRVrDQvm6FdGShJyToMVN0JZxyLRksFtaoTUH2RxWSw4yWchmIdNSXtIZTWUVkbpS\nGBQREZGmlbQtOjJJOjJJaD/2bWfOnMm+ffuIYsPQaKHRixjyK0spZLAYkPcsBn2Hd8MO3ohPPETa\nJibbX6S1r0hrUKA13Ec2LJWXqHzZEpbI2jEtCUM2aZFNJcg6CVrcFKmpHcRQCY5ZyGSxsq2V6y3D\nwdLNYFknXpeIyEgKgyIiIjKpJGyL9nSS9vTJ/RkUxYa8HzHoxwz5Ufm6FzFUWR/yIwZLAfmiz2Ap\nJO9lGQwzvBdOJeAkA1uxPCqZ7S+NCJH9tITF4SAZlsjGHlmrGihtso5Ni5ukxU2RSTsksi2QbamF\nSKsSLBkZLB1HgVJkklIYFBERETkBCduiLZ2kLX3y9/WjmIIfMxREFPyYQhCTP+J63ovIewGFkk8Q\n2/TnDYUwxUCY4z9ii+hkAyWQOVQie6A6GjlES9hXG52sBsts7JO1TTlQpmxaUjZZJ0lLxiFdDZSZ\nLGRbsDIto45OGmNOfqeISN0pDIqIiIiMMydh42Ts8nTWE1Cd0lpljMGPDPkgpuBH5csgJu9HR1yG\nFIoBeS8g74UUApdC4HAwauPt2CI+2UAZgzPgkzngkYk8MmGRdDRAJvJIR96IS58MEWnbkKks6aRN\nJmWRSSXIJhOk3SQZN0UinYZ0GtwMuGksN1NZH95GOg1OWl/OIzLO9AoTERERaXCWZeEmLdykzZQT\nDJRHMsZQCg2FoBIm/bh83R8OlvkgpuCF5Es+BS+g6EeUgiTFMEExynIohqKxMR9glBIAD5LFEDfy\ncWOfdBTgRodw4z7SkY8b+eXLOCjfxkSk7RjXhrQNbsLCTVikE+X9kU4lSDsJ3FQS10niOg6264Lj\ngONiuWlw3PJSuR46SUx+CFwXEklNkZVJTWFQREREZBKwLKsyUmcz9RQexxiDFxmKQUwpjCkGMdn2\nTvb+57sUg5hiWN5e8COKfkipFFD0q8EyxgttSpFDKXIoxHDAWHinEjABgsqSB6cSKJ04IB2VcKND\npONy0HSjACcOamHTMSEuBteOcWxwbAs3UQ6dTsImnUzgpmwcJ4WbSuA6KRwnRdJ1sFwXUpVLx4WU\nOxw8neFASsrRt8ZKw1IYFBEREZETZlkW6aRFOjkccGbO7GR6oviBH9MYQxCXRy69SpgshTF+aMrX\noxivej2I8LyAkh/i+QElP8ILK0EzMniRTSly8eI0AzF4xsZnDMLYiMBpmxgnCnDjcugsj24Gw9ui\ncuB0RoxwOpbBtQyubXDsauCshM9kAjdp46YSOJXQ6TpJUk6KodPPIC4WsVKjBM3qkqqMhGparZwk\nHTEiIiIiUleWVQ5GTgJwE2P++LExeKHBi2I6p57Gm/v+Ey80+FElQIYxXhjjR+XbeEGE54d4fojv\nB3hBhB/GeGE04n4WXpzGj9McMhaesfA5xRFOgLCyFMqrzn8EOHGqMqpZwI0HyqOacXDYSKcT+bgm\nxMHgWjGubXBtcCxwk9XgaY8InUlcJ4HrJMujnSPCpfU+YZPKaCgpfQPtvwqFQRERERH5l2aPmCI7\noz2Dybvj8nuqI5zV4OlXLmsBsrq9EkBLQVQOm5Xg6QVhJXTG5csoJrIS5P0UfpyiFFsMGBsPi+hU\nRztjoFRZgEQcHTGqWaiEzupnPIPauhMHuBw52mnR4iRImLgcPkeOdjrJSvhMkXIcbLcSKB2nPL02\nlRoOnCmnPPJZCZ04DpY99m8QSJnCoIiIiIjIGBg5wpljbALMkd8sWxXGwwHzsKA5IoBWg2cpiPH8\noDLKGeL5EX4YlUdAayOiBi9K4MUJfJMhbyz8sZpi61eWfHk1FQek4rASPEs48WB5vTLVtho4y0uI\nY0Icy+AQ41iQqky1dWxwbYtUwsJJ2riJBE7SwkklcVIJnGQSxy0H0YRTCZapyjTbZApvoA8zcOio\n8EnKxUpMjgCqMCgiIiIi0mSStkXSTpBNje/viY0hqE6ljUYEzhHr1UCabsnxTt97+NWRTj+sTLGN\naqOdfmTwY4MfJ8qLyVCILXzGaJotlEc9vcpSCaCJOMKphtA4wI0LOFHfcAgdGT6jAMdElfBpcKzy\nFwylagG0/O9iUpVpt051qYbQVHXqbQrLcbFSqeER0JHB87AAWg6oEz39VmFQRERERERGZY/4tybH\nUx7F/OAjasYYwhj8yojm8KUpB8nY4IeHb/eCED8I8P0QP4jKSxiWbxdGw/ePDH5s48cOvnEYMhYB\nNp4Zgym3AIbhEdAKy8QjwmaIEw/VRkSro58jw2gqDssBlHIATdkwJWW49svLYObMU69xFAqDIiIi\nIiJSd5ZlkUpAKpGgZQJ+X3UKbhSbo8PnyEAamtqXCwWRKY92+gF+UA2gYTl4BjF+FNVu78eVz5DG\nSYI4hW8yDBkbH4vA2JgTHAWcM+Axe5z2gcKgiIiIiIhMWgnbImOXv2BoopRHQcuhMRgRNI8Mo+mk\nzdmnZ8atDoVBERERERGRCVQeBS2PhNbTxMVfERERERERaRgKgyIiIiIiIpOQpomKiIg0kd7eXtau\nXcusWbMAmD17NkuXLmX9+vXEcUxHRwcrVqwglRrn75sXEZGmpzAoIiLSZC688EK++c1v1tYfeugh\nbrjhBhYsWMBTTz3F73//exYvXlzHCkVEpBlomqiIiEiT6+3tpaurC4Curi527txZ54pERKQZaGRQ\nRESkyezdu5cHHniAoaEhli1bhud5tWmhbW1t9Pf317lCERFpBgqDIiIiTWTGjBksW7aMBQsWsH//\nfu69916iKPpAjzVz5swxqWmsHmciqNbx00z1NlOt0Fz1NlOt0Fz1jketCoMiIiJNZMqUKSxcuBCA\n6dOn09HRwe7du/F9H8dxOHDgAJ2dnSf0WPv27TvlembOnDkmjzMRVOv4aaZ6m6lWaK56m6lWaK56\nT7XW9wuS+sygiIhIE9m+fTvPP/88AP39/QwMDLBo0SJ6enoA6Onp4eKLL65niSIi0iQ0MigiItJE\nurq66O7uZseOHYRhyPLlyznnnHNYv349W7duZdq0aVx77bX1LlNERJqAZYwx9S5CREREREREJpam\niYqIiIiIiExCCoMiIiIiIiKTkMKgiIiIiIjIJKQwKCIiIiIiMgkpDIqIiIiIiExCCoMiIiIiIiKT\nkP7P4HE8+uijvPbaa1iWxS233MK8efPqXdJhnnjiCV555RXiOOazn/0sO3bsYM+ePeRyOQCWLl3K\npZdeWucqy3p7e1m7di2zZs0CYPbs2SxdupT169cTxzEdHR2sWLGCVCpV50ph27Zt/OEPf6it7969\nm7lz5+J5Hq7rAvCVr3yFOXPm1KtEAN58801+9KMf8alPfYolS5bQ19c36v7cvn07mzZtwrIsrr/+\nej7+8Y83TL0//elPCcOQZDLJihUr6Ojo4Itf/CLnnXde7X7f//73se2Jfe/qyFo3bNgw6murUfft\n2rVrOXToEABDQ0Oce+65fO5zn+Puu++uHbdtbW2sWrVqwms98rw1d+7chj5uZXSN3h+heXpkM/VH\nUI+cqFobtT+OVm8j90j1x+Mw8r56e3vN/fffb4wx5q233jKrV6+uc0WHe+mll8wPf/hDY4wxhw4d\nMl/72tfM+vXrzY4dO+pc2ehefvll8+CDDx62bcOGDebFF180xhjz5JNPmi1bttSjtGPq7e01jzzy\niLnnnnvMG2+8Ue9yaorFolmzZo3ZuHGjeeGFF4wxo+/PYrFoVq5cafL5vPE8z6xatcoMDg42RL3r\n1q0zf/rTn4wxxrzwwgvm8ccfN8YYc+utt054fSONVutor61G3rcjbdiwwbz22mtm//795lvf+taE\n1zfSaOetRj5uZXSN3h+Naa4e2az90Rj1yPGqtVH7ozHN1SPVH49P00SP4aWXXuJjH/sYAGeddRb5\nfJ5CoVDnqoZdeOGF3HXXXQC0tLTgeR5xHNe5qpPT29tLV1cXAF1dXezcubPOFR3t2Wef5aabbqp3\nGUdJpVJ85zvfobOzs7ZttP35+uuvM3fuXLLZLI7jcN5557Fr166GqHf58uVceeWVQPlduMHBwQmv\nazSj1TqaRt63Vfv27aNQKDTMqM1o561GPm5ldI3eH6H5e2Qz9EdQjxyvWhu1P0Jz9Uj1x+PTNNFj\n6O/vP2yKQ1tbG/39/WSz2TpWNcy2bdLpNFCesnHJJZdg2zabN2/md7/7He3t7dx66620tbXVudJh\ne/fu5YEHHmBoaIhly5bheV5t2kt1/zaS119/nalTp9LR0QHA008/zeDgIGeeeSa33HILjuPUrbZE\nIkEikThs22j7s7+//7BjoF77ebR6q8dvHMds2bKl9geF7/t0d3fT19fHFVdcwac//em61woc9dpq\n5H1btWnTJpYsWVJb7+/v58c//jEHDx7khhtu4Oqrr56oMoHRz1v/+Mc/Gva4ldE1en+E5uuRzdYf\nQT1yPGtt1P74fvVCY/ZI9cfjUxg8CcaYepcwqr/85S9s27aN7373u+zevZtcLsfZZ5/Nb3/7W555\n5hluu+22epcIwIwZM1i2bBkLFixg//793HvvvURRVO+yjmnbtm0sWrQIgE9+8pPMnj2b6dOn88gj\nj7B582aWLl1a3wL/BcRxzLp167jooouYP38+AF/+8pe55pprALjnnnu44IILmDt3bj3L5Jprrjnq\ntTXycxuNKAxDdu3axfLlywHI5XJ8/vOf5+qrr6ZQKLB69Wouuuii4767Ox5GnrdWrlw54b9fxlaj\n9kdojh7ZjP0R1CPHW7P0R2i+Hqn+OEzTRI+hs7PzsKR98ODBuhwUx/L3v/+d3/zmN6xevZpsNsv8\n+fM5++yzgfJw8ptvvlnfAkeYMmUKCxcuxLIspk+fTkdHB/l8Ht/3AThw4EDD7d/e3t7ayezyyy9n\n+vTpAFx22WUNtW+r0un0UfvzyOO40fbzQw89VPtDqGrx4sWk02nS6TTz589viH092mur0fftP//5\nz8Omv2QyGa677jqSySRtbW3MmTOHt99+e8LrOvK81YzH7WTXDP0RmqdHNmN/BPXI8dYs/RGar0eq\nPw5TGDyGj370o/T09ACwZ88eOjs7yWQyda5qWKFQ4IknnuDb3/42ra2tADz44IPs378fKJ+kq99M\n1gi2b9/O888/D5SH4gcGBli0aFFtH/f09HDxxRfXs8TDHDhwgHQ6TTKZxBjDfffdRz6fB8onkdmz\nZ9e5wqPNnz//qP157rnnsnv3bvL5PKVSiVdffZULLrigzpWWbd++nWQyyc0331zbtm/fPrq7uzHG\nEEURr776akMcx6O9thp530J5CteHPvSh2vrLL7/Mr371KwBKpRJvvPEGM2fOnNCaRjtvNdtxK43f\nH6G5emSz9UdQjxxvzdQfofl6pPrjMMs08tyOBvDkk0/yyiuvYFkWt912W+1dj0awdetWnnnmGWbM\nmFHbtmjRIrZs2YLjOKTTae644w7a29vrWOWwYrFId3c3hUKBMAy56aabOOecc1i/fj1BEDBt2jTu\nuOMOksnGmL28Z88efv3rX7N69WoAXnzxRZ577jnS6TSdnZ3cfvvtta/Qrld9jz32GO+++y6JRIIp\nU6awcuVKNmzYcNT+7Onp4fnnn8eyLJYsWTLh8+Dfr96BgQEcx6n9EXnWWWexfPlynnjiCXp7e7Es\ni66uLm688ca617pkyRKee+65o15bjbpv7777bp5++mnOP/98Fi5cCEAURWzcuJF9+/YRxzGLFy/m\nuuuum9BaRztv3XnnnWzcuLEhj1t5f43cH6G5emSz9UdQjxzvWhu1P75fvY3aI9Ufj09hUERERERE\nZBLSNFEREREREZFJSGFQRERERERkElIYFBERERERmYQUBkVERERERCYhhUEREREREZFJqHG+o1hE\nam6++WbOOOMMEonEYdu//vWvH/ZPUsfCnXfeyYoVKzj//PPH9HFFRETGmvqjyNhSGBRpUGvWrGHq\n1Kn1LkNERKShqD+KjB2FQZEm09vbyy9/+Us+8pGP8Ne//pUwDPnGN77Bhz/8YXzf59FHH6W3txfb\ntrnkkkv40pe+hG3b7Nmzh4cffphSqURHRwd33nknp59+OgC7d+/m8ccfp6+vj4ULF/LVr361zs9S\nRETk5Kg/ipw8fWZQpAnt3buXefPm0d3dzY033sjPf/5zADZt2sR7773H2rVreeCBB3jllVf44x//\nCMBPfvITvvCFL9Dd3c3ll1/OL37xi9rj7d69m/vuu4/777+fzZs309fXV5fnJSIicirUH0VOjkYG\nRRrUmjVrDvtMRFtbGz/4wQ8ASKfTLFiwAIArrriChx9+GM/z+Nvf/sZnPvMZEokEiUSCq6++mp07\ndzJv3jwGBwe55JJLAFiyZAmf+MQnao991VVXYds2U6ZMoaOjgwMHDjBt2rQJfLYiIiInRv1RZOwo\nDIo0qGN9JqKlpQXLsmrXAfL5PIcOHaqtV382MDDA4OAg2Wy2tr3aDKtG/sy2beI4HtPnIiIiMlbU\nH0XGjqaJijShoaGh2vV8Pg9Aa2sr7e3th/1scHCQ9vZ2crkcQ0NDtSYWhiHvvPPOxBYtIiIyztQf\nRU6OwqBIE/I8jz//+c8A9PT0MHfuXBzH4bLLLmPbtm3EcUypVGL79u1ceumlzJgxgylTptTus23b\nNn72s5/V8ymIiIiMOfVHkZOjaaIiDerIz0RA+bMMs2bN4rTTTmPXrl08+eSThGHIXXfdVfv5/v37\nWbVqFZZlceWVV7JgwQIsy2LVqlWsW7eOp556is7OTm6//fZ6PC0REZFTov4oMnYsY4ypdxEicuJ6\ne3vZuHEj69atq3cpIiIiDUP9UeTkaZqoiIiIiIjIJKQwKCIiIiIiMglpmqiIiIiIiMgkpJFBERER\nERGRSUhhUEREREREZBJSGBQREREREZmEFAZFREREREQmIYVBERERERGRSUhhUEREREREZBL6/1EP\nzbXQKjTOAAAAAElFTkSuQmCC\n", + "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff58f8a83c8>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "er9Hz_LMulpM", + "colab_type": "code", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 323 + }, + "outputId": "47223eb0-4fb6-4a0d-f687-8ced4f108c9c" + }, + "cell_type": "code", + "source": [ + "# Plot five predictions\n", + "Y_test_pred = model_hourglass.predict(X_test)\n", + "\n", + "width = np.sqrt(X_train[0].size).astype(int)\n", + "height = width\n", + "\n", + "f, axarr = plt.subplots(3, 5)\n", + "for i in range(5) :\n", + " img_i = X_test[i+5].reshape(width, height)\n", + " axarr[0, i].grid(linestyle=' ')\n", + " axarr[0, i].imshow(img_i, cmap=\"Greys_r\")\n", + " #axarr[0, i].title(\"Image n°\"+str(i+1)+\" with noise\")\n", + "for i in range(5) :\n", + " img_i = Y_test_pred[i+5].reshape(width, height)\n", + " axarr[1, i].grid(linestyle=' ')\n", + " axarr[1, i].imshow(img_i, cmap=\"Greys_r\")\n", + " #axarr[1, i].title(\"Image n°\"+str(i+1)+\" denosing\")\n", + "for i in range(5) :\n", + " img_i = Y_test[i+5].reshape(width, height)\n", + " axarr[2, i].grid(linestyle=' ')\n", + " axarr[2, i].imshow(img_i, cmap=\"Greys_r\")\n", + " #axarr[2, i].title(\"Image n°\"+str(i+1)+\" without noise\")" + ], + "execution_count": 40, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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WZmZm8tf+2l8r16yzUJwYwaYdro2OgzOu69Kwz0eyU5eQXZaty2NNJiO8v5pW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+ "text/plain": [ + "<matplotlib.figure.Figure at 0x7ff58edec630>" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "metadata": { + "id": "XDknpIaGulpS", + "colab_type": "text" + }, + "cell_type": "markdown", + "source": [ + "**Conclusion**:\n", + "\n", + "- *loss='binary_crossentropy'* for segmentation problem\n", + "- *activation='sigmoid'* for binary classification." + ] } - ], - "source": [ - "# Plot five predictions\n", - "Y_test_pred = model_hourglass.predict(X_test)\n", - "\n", - "width = np.sqrt(X_train[0].size).astype(int)\n", - "height = width\n", - "\n", - "f, axarr = plt.subplots(3, 5)\n", - "for i in range(5) :\n", - " img_i = X_test[i].reshape(width, height)\n", - " axarr[0, i].grid(linestyle=' ')\n", - " axarr[0, i].imshow(img_i)\n", - " plt.title(\"Image n°\"+str(i+1)+\" with noise\")\n", - "for i in range(5) :\n", - " img_i = Y_test_pred[i].reshape(width, height)\n", - " axarr[1, i].grid(linestyle=' ')\n", - " axarr[1, i].imshow(img_i)\n", - " plt.title(\"Image n°\"+str(i+1)+\" denosing\")\n", - "for i in range(5) :\n", - " img_i = Y_test[i].reshape(width, height)\n", - " axarr[2, i].grid(linestyle=' ')\n", - " axarr[2, i].imshow(img_i)\n", - " plt.title(\"Image n°\"+str(i+1)+\" without noise\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Conclusion**:\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + ] +} \ No newline at end of file -- GitLab