diff --git a/25. Face Recognition/.ipynb_checkpoints/25.0 Face Extraction from Video - Build Dataset-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/25.0 Face Extraction from Video - Build Dataset-checkpoint.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..3c211e88ca6ebc792f42cf7d1c28509c2f4c066c --- /dev/null +++ b/25. Face Recognition/.ipynb_checkpoints/25.0 Face Extraction from Video - Build Dataset-checkpoint.ipynb @@ -0,0 +1,93 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Extracting the faces from a video" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from os import listdir\n", + "from os.path import isfile, join\n", + "import os\n", + "import cv2\n", + "import dlib\n", + "import numpy as np\n", + "\n", + "# Define Image Path Here\n", + "image_path = \"./images/\"\n", + "\n", + "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", + " font_scale=0.8, thickness=1):\n", + " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", + " x, y = point\n", + " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", + " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", + " \n", + "detector = dlib.get_frontal_face_detector()\n", + "\n", + "# Initialize Webcam\n", + "cap = cv2.VideoCapture('testfriends.mp4')\n", + "img_size = 64\n", + "margin = 0.2\n", + "frame_count = 0\n", + "\n", + "while True:\n", + " ret, frame = cap.read()\n", + " frame_count += 1\n", + " print(frame_count) \n", + " \n", + " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", + " img_h, img_w, _ = np.shape(input_img)\n", + " detected = detector(frame, 1)\n", + " faces = []\n", + " \n", + " if len(detected) > 0:\n", + " for i, d in enumerate(detected):\n", + " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", + " xw1 = max(int(x1 - margin * w), 0)\n", + " yw1 = max(int(y1 - margin * h), 0)\n", + " xw2 = min(int(x2 + margin * w), img_w - 1)\n", + " yw2 = min(int(y2 + margin * h), img_h - 1)\n", + " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", + " file_name = \"./faces/\"+str(frame_count)+\"_\"+str(i)+\".jpg\"\n", + " cv2.imwrite(file_name, face)\n", + " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", + "\n", + " cv2.imshow(\"Face Detector\", frame)\n", + " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", + " break\n", + "\n", + "cap.release()\n", + "cv2.destroyAllWindows() " + ] + } + ], + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/25. Face Recognition/.ipynb_checkpoints/25.1 Face Recognition - Friends Characters - Train and Test-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/25.1 Face Recognition - Friends Characters - Train and Test-checkpoint.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..f1f4dfacb083cd69352f3a8c7186c3d089479cf4 --- /dev/null +++ b/25. Face Recognition/.ipynb_checkpoints/25.1 Face Recognition - Friends Characters - Train and Test-checkpoint.ipynb @@ -0,0 +1,536 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Basic Deep Learning Face Recogntion\n", + "## Building a Friends TV Show Character Identifier" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## The learning objective of this lesson (25.1) is the create a 'dumb' face classifer using our LittleVGG model. We are simply training it with 100s of pictures of each Friends Character, and testing our model using a Test Video. \n", + "\n", + "## You will see how this is an in-effective way to do Face Recognition, why?\n", + "## Because a traditional N" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's train our model\n", + "I've created a dataset with the faces of 4 Friends characters taken from a handful of different scenes." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 2663 images belonging to 4 classes.\n", + "Found 955 images belonging to 4 classes.\n" + ] + } + ], + "source": [ + "from __future__ import print_function\n", + "import keras\n", + "from keras.preprocessing.image import ImageDataGenerator\n", + "from keras.models import Sequential\n", + "from keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization\n", + "from keras.layers import Conv2D, MaxPooling2D\n", + "from keras.preprocessing.image import ImageDataGenerator\n", + "import os\n", + "\n", + "num_classes = 4\n", + "img_rows, img_cols = 48, 48\n", + "batch_size = 16\n", + "\n", + "train_data_dir = './faces/train'\n", + "validation_data_dir = './faces/validation'\n", + "\n", + "# Let's use some data augmentaiton \n", + "train_datagen = ImageDataGenerator(\n", + " rescale=1./255,\n", + " rotation_range=30,\n", + " shear_range=0.3,\n", + " zoom_range=0.3,\n", + " width_shift_range=0.4,\n", + " height_shift_range=0.4,\n", + " horizontal_flip=True,\n", + " fill_mode='nearest')\n", + " \n", + "validation_datagen = ImageDataGenerator(rescale=1./255)\n", + " \n", + "train_generator = train_datagen.flow_from_directory(\n", + " train_data_dir,\n", + " target_size=(img_rows, img_cols),\n", + " batch_size=batch_size,\n", + " class_mode='categorical',\n", + " shuffle=True)\n", + " \n", + "validation_generator = validation_datagen.flow_from_directory(\n", + " validation_data_dir,\n", + " target_size=(img_rows, img_cols),\n", + " batch_size=batch_size,\n", + " class_mode='categorical',\n", + " shuffle=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "#Our Keras imports\n", + "from keras.models import Sequential\n", + "from keras.layers.normalization import BatchNormalization\n", + "from keras.layers.convolutional import Conv2D, MaxPooling2D\n", + "from keras.layers.advanced_activations import ELU\n", + "from keras.layers.core import Activation, Flatten, Dropout, Dense" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Creating a simple VGG based model for Face Recognition" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d_25 (Conv2D) (None, 48, 48, 32) 896 \n", + "_________________________________________________________________\n", + "activation_34 (Activation) (None, 48, 48, 32) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_31 (Batc (None, 48, 48, 32) 128 \n", + "_________________________________________________________________\n", + "conv2d_26 (Conv2D) (None, 48, 48, 32) 9248 \n", + "_________________________________________________________________\n", + "activation_35 (Activation) (None, 48, 48, 32) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_32 (Batc (None, 48, 48, 32) 128 \n", + "_________________________________________________________________\n", + "max_pooling2d_13 (MaxPooling (None, 24, 24, 32) 0 \n", + "_________________________________________________________________\n", + "dropout_19 (Dropout) (None, 24, 24, 32) 0 \n", + "_________________________________________________________________\n", + "conv2d_27 (Conv2D) (None, 24, 24, 64) 18496 \n", + "_________________________________________________________________\n", + "activation_36 (Activation) (None, 24, 24, 64) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_33 (Batc (None, 24, 24, 64) 256 \n", + "_________________________________________________________________\n", + "conv2d_28 (Conv2D) (None, 24, 24, 64) 36928 \n", + "_________________________________________________________________\n", + "activation_37 (Activation) (None, 24, 24, 64) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_34 (Batc (None, 24, 24, 64) 256 \n", + "_________________________________________________________________\n", + "max_pooling2d_14 (MaxPooling (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "dropout_20 (Dropout) (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "conv2d_29 (Conv2D) (None, 12, 12, 128) 73856 \n", + "_________________________________________________________________\n", + "activation_38 (Activation) (None, 12, 12, 128) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_35 (Batc (None, 12, 12, 128) 512 \n", + "_________________________________________________________________\n", + "conv2d_30 (Conv2D) (None, 12, 12, 128) 147584 \n", + "_________________________________________________________________\n", + "activation_39 (Activation) (None, 12, 12, 128) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_36 (Batc (None, 12, 12, 128) 512 \n", + "_________________________________________________________________\n", + "max_pooling2d_15 (MaxPooling (None, 6, 6, 128) 0 \n", + "_________________________________________________________________\n", + "dropout_21 (Dropout) (None, 6, 6, 128) 0 \n", + "_________________________________________________________________\n", + "conv2d_31 (Conv2D) (None, 6, 6, 256) 295168 \n", + "_________________________________________________________________\n", + "activation_40 (Activation) (None, 6, 6, 256) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_37 (Batc (None, 6, 6, 256) 1024 \n", + "_________________________________________________________________\n", + "conv2d_32 (Conv2D) (None, 6, 6, 256) 590080 \n", + "_________________________________________________________________\n", + "activation_41 (Activation) (None, 6, 6, 256) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_38 (Batc (None, 6, 6, 256) 1024 \n", + "_________________________________________________________________\n", + "max_pooling2d_16 (MaxPooling (None, 3, 3, 256) 0 \n", + "_________________________________________________________________\n", + "dropout_22 (Dropout) (None, 3, 3, 256) 0 \n", + "_________________________________________________________________\n", + "flatten_4 (Flatten) (None, 2304) 0 \n", + "_________________________________________________________________\n", + "dense_10 (Dense) (None, 64) 147520 \n", + "_________________________________________________________________\n", + "activation_42 (Activation) (None, 64) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_39 (Batc (None, 64) 256 \n", + "_________________________________________________________________\n", + "dropout_23 (Dropout) (None, 64) 0 \n", + "_________________________________________________________________\n", + "dense_11 (Dense) (None, 64) 4160 \n", + "_________________________________________________________________\n", + "activation_43 (Activation) (None, 64) 0 \n", + "_________________________________________________________________\n", + "batch_normalization_40 (Batc (None, 64) 256 \n", + "_________________________________________________________________\n", + "dropout_24 (Dropout) (None, 64) 0 \n", + "_________________________________________________________________\n", + "dense_12 (Dense) (None, 4) 260 \n", + "_________________________________________________________________\n", + "activation_44 (Activation) (None, 4) 0 \n", + "=================================================================\n", + "Total params: 1,328,548\n", + "Trainable params: 1,326,372\n", + "Non-trainable params: 2,176\n", + "_________________________________________________________________\n", + "None\n" + ] + } + ], + "source": [ + "model = Sequential()\n", + "\n", + "model.add(Conv2D(32, (3, 3), padding = 'same', kernel_initializer=\"he_normal\",\n", + " input_shape = (img_rows, img_cols, 3)))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(Conv2D(32, (3, 3), padding = \"same\", kernel_initializer=\"he_normal\", \n", + " input_shape = (img_rows, img_cols, 3)))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.2))\n", + "\n", + "# Block #2: second CONV => RELU => CONV => RELU => POOL\n", + "# layer set\n", + "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.2))\n", + "\n", + "# Block #3: third CONV => RELU => CONV => RELU => POOL\n", + "# layer set\n", + "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.2))\n", + "\n", + "# Block #4: third CONV => RELU => CONV => RELU => POOL\n", + "# layer set\n", + "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.2))\n", + "\n", + "# Block #5: first set of FC => RELU layers\n", + "model.add(Flatten())\n", + "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(Dropout(0.5))\n", + "\n", + "# Block #6: second set of FC => RELU layers\n", + "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", + "model.add(Activation('elu'))\n", + "model.add(BatchNormalization())\n", + "model.add(Dropout(0.5))\n", + "\n", + "# Block #7: softmax classifier\n", + "model.add(Dense(num_classes, kernel_initializer=\"he_normal\"))\n", + "model.add(Activation(\"softmax\"))\n", + "\n", + "print(model.summary())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Training our Model" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/10\n", + "166/166 [==============================] - 76s 457ms/step - loss: 1.1153 - acc: 0.5700 - val_loss: 1.4428 - val_acc: 0.4841\n", + "\n", + "Epoch 00001: val_loss improved from inf to 1.44279, saving model to /home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\n", + "Epoch 2/10\n", + "166/166 [==============================] - 67s 403ms/step - loss: 0.7034 - acc: 0.7343 - val_loss: 3.7705 - val_acc: 0.2705\n", + "\n", + "Epoch 00002: val_loss did not improve from 1.44279\n", + "Epoch 3/10\n", + "166/166 [==============================] - 62s 373ms/step - loss: 0.6037 - acc: 0.7690 - val_loss: 0.9403 - val_acc: 0.6912\n", + "\n", + "Epoch 00003: val_loss improved from 1.44279 to 0.94025, saving model to /home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\n", + "Epoch 4/10\n", + "166/166 [==============================] - 62s 373ms/step - loss: 0.5432 - acc: 0.7988 - val_loss: 1.3018 - val_acc: 0.5548\n", + "\n", + "Epoch 00004: val_loss did not improve from 0.94025\n", + "Epoch 5/10\n", + "166/166 [==============================] - 69s 414ms/step - loss: 0.4715 - acc: 0.8301 - val_loss: 3.8879 - val_acc: 0.1534\n", + "\n", + "Epoch 00005: val_loss did not improve from 0.94025\n", + "Epoch 6/10\n", + "166/166 [==============================] - 77s 467ms/step - loss: 0.4233 - acc: 0.8524 - val_loss: 0.6878 - val_acc: 0.7093\n", + "\n", + "Epoch 00006: val_loss improved from 0.94025 to 0.68784, saving model to /home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\n", + "Epoch 7/10\n", + "166/166 [==============================] - 71s 429ms/step - loss: 0.4130 - acc: 0.8636 - val_loss: 3.3402 - val_acc: 0.2971\n", + "\n", + "Epoch 00007: val_loss did not improve from 0.68784\n", + "Epoch 8/10\n", + "166/166 [==============================] - 79s 477ms/step - loss: 0.3821 - acc: 0.8748 - val_loss: 2.6729 - val_acc: 0.6283\n", + "\n", + "Epoch 00008: val_loss did not improve from 0.68784\n", + "Epoch 9/10\n", + "166/166 [==============================] - 86s 519ms/step - loss: 0.3622 - acc: 0.8709 - val_loss: 1.5067 - val_acc: 0.5197\n", + "Restoring model weights from the end of the best epoch\n", + "\n", + "Epoch 00009: val_loss did not improve from 0.68784\n", + "\n", + "Epoch 00009: ReduceLROnPlateau reducing learning rate to 0.0019999999552965165.\n", + "Epoch 00009: early stopping\n" + ] + } + ], + "source": [ + "from keras.optimizers import RMSprop, SGD, Adam\n", + "from keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n", + "\n", + " \n", + "checkpoint = ModelCheckpoint(\"/home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\",\n", + " monitor=\"val_loss\",\n", + " mode=\"min\",\n", + " save_best_only = True,\n", + " verbose=1)\n", + "\n", + "earlystop = EarlyStopping(monitor = 'val_loss', \n", + " min_delta = 0, \n", + " patience = 3,\n", + " verbose = 1,\n", + " restore_best_weights = True)\n", + "\n", + "reduce_lr = ReduceLROnPlateau(monitor = 'val_loss', factor = 0.2, patience = 3, verbose = 1, min_delta = 0.0001)\n", + "\n", + "# we put our call backs into a callback list\n", + "callbacks = [earlystop, checkpoint, reduce_lr]\n", + "\n", + "# We use a very small learning rate \n", + "model.compile(loss = 'categorical_crossentropy',\n", + " optimizer = Adam(lr=0.01),\n", + " metrics = ['accuracy'])\n", + "\n", + "nb_train_samples = 2663\n", + "nb_validation_samples = 955\n", + "epochs = 10\n", + "\n", + "history = model.fit_generator(\n", + " train_generator,\n", + " steps_per_epoch = nb_train_samples // batch_size,\n", + " epochs = epochs,\n", + " callbacks = callbacks,\n", + " validation_data = validation_generator,\n", + " validation_steps = nb_validation_samples // batch_size)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Getting our Class Labels" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{0: 'Chandler', 1: 'Joey', 2: 'Pheobe', 3: 'Rachel'}" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "class_labels = validation_generator.class_indices\n", + "class_labels = {v: k for k, v in class_labels.items()}\n", + "classes = list(class_labels.values())\n", + "class_labels" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Load our model\n", + "from keras.models import load_model\n", + "\n", + "classifier = load_model('/home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Testing our model on some real video" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "from os import listdir\n", + "from os.path import isfile, join\n", + "import os\n", + "import cv2\n", + "import numpy as np\n", + "\n", + "\n", + "face_classes = {0: 'Chandler', 1: 'Joey', 2: 'Pheobe', 3: 'Rachel'}\n", + "\n", + "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", + " font_scale=0.8, thickness=1):\n", + " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", + " x, y = point\n", + " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", + " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", + " \n", + "margin = 0.2\n", + "# load model and weights\n", + "img_size = 64\n", + "\n", + "detector = dlib.get_frontal_face_detector()\n", + "\n", + "cap = cv2.VideoCapture('testfriends.mp4')\n", + "\n", + "while True:\n", + " ret, frame = cap.read()\n", + " frame = cv2.resize(frame, None, fx=0.5, fy=0.5, interpolation = cv2.INTER_LINEAR)\n", + " preprocessed_faces = [] \n", + " \n", + " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", + " img_h, img_w, _ = np.shape(input_img)\n", + " detected = detector(frame, 1)\n", + " faces = np.empty((len(detected), img_size, img_size, 3))\n", + " \n", + " preprocessed_faces_emo = []\n", + " if len(detected) > 0:\n", + " for i, d in enumerate(detected):\n", + " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", + " xw1 = max(int(x1 - margin * w), 0)\n", + " yw1 = max(int(y1 - margin * h), 0)\n", + " xw2 = min(int(x2 + margin * w), img_w - 1)\n", + " yw2 = min(int(y2 + margin * h), img_h - 1)\n", + " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", + " # cv2.rectangle(img, (xw1, yw1), (xw2, yw2), (255, 0, 0), 2)\n", + " #faces[i, :, :, :] = cv2.resize(frame[yw1:yw2 + 1, xw1:xw2 + 1, :], (img_size, img_size))\n", + " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", + " face = cv2.resize(face, (48, 48), interpolation = cv2.INTER_AREA)\n", + " face = face.astype(\"float\") / 255.0\n", + " face = img_to_array(face)\n", + " face = np.expand_dims(face, axis=0)\n", + " preprocessed_faces.append(face)\n", + "\n", + " # make a prediction for Emotion \n", + " face_labels = []\n", + " for i, d in enumerate(detected):\n", + " preds = classifier.predict(preprocessed_faces[i])[0]\n", + " face_labels.append(face_classes[preds.argmax()])\n", + " \n", + " # draw results\n", + " for i, d in enumerate(detected):\n", + " label = \"{}\".format(face_labels[i])\n", + " draw_label(frame, (d.left(), d.top()), label)\n", + "\n", + " cv2.imshow(\"Friend Character Identifier\", frame)\n", + " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", + " break\n", + "\n", + "cap.release()\n", + "cv2.destroyAllWindows() " + ] + }, + { + "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": "3.6.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/25. Face Recognition/.ipynb_checkpoints/25.2 Face Recogition - Matching Faces-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/25.2 Face Recogition - Matching Faces-checkpoint.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..cf38d5b8ab4c7619a620eee4d2f614e526515d40 --- /dev/null +++ b/25. Face Recognition/.ipynb_checkpoints/25.2 Face Recogition - Matching Faces-checkpoint.ipynb @@ -0,0 +1,371 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Face Similarity Matching, the basis our our Face Classifier\n", + "\n", + "In this section, we will load a pre-trained model of VGGFace (trainined on thousands of faces) and use it, together with a similarity metric, to define whether two faces are of the same person" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Import our libaries\n", + "from tensorflow.keras.models import Model, Sequential\n", + "from tensorflow.keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", + "from PIL import Image\n", + "import numpy as np\n", + "from tensorflow.keras.preprocessing.image import load_img, save_img, img_to_array\n", + "from tensorflow.keras.applications.imagenet_utils import preprocess_input\n", + "from tensorflow.keras.preprocessing import image\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define our VGGFace Model" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model created\n" + ] + } + ], + "source": [ + "model = Sequential()\n", + "model.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", + "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(Convolution2D(4096, (7, 7), activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Convolution2D(4096, (1, 1), activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Convolution2D(2622, (1, 1)))\n", + "model.add(Flatten())\n", + "model.add(Activation('softmax'))\n", + "print(\"Model created\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load out VGG Face Weights" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "#you can download the pretrained weights from the following link \n", + "#https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", + "#or you can find the detailed documentation https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", + "\n", + "from tensorflow.keras.models import model_from_json\n", + "\n", + "model.load_weights('vgg_face_weights.h5')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define our very important findCosineSimilarity function.\n", + "We also load our findEuclideanDistance() function and will show the distance metric used to create a similarity score between the faces under comparison " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def preprocess_image(image_path):\n", + " img = load_img(image_path, target_size=(224, 224))\n", + " img = img_to_array(img)\n", + " img = np.expand_dims(img, axis=0)\n", + " img = preprocess_input(img)\n", + " return img\n", + "\n", + "def findCosineSimilarity(source_representation, test_representation):\n", + " a = np.matmul(np.transpose(source_representation), test_representation)\n", + " b = np.sum(np.multiply(source_representation, source_representation))\n", + " c = np.sum(np.multiply(test_representation, test_representation))\n", + " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", + "\n", + "\n", + "vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define our verifyFace function where we load to images of faces and compare them.\n", + "\n", + "We set **epsilon** to be the threshold of whether our two faces are the same person. Setting a lower value makes it more strict with our face matching." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "epsilon = 0.40\n", + "\n", + "def verifyFace(img1, img2):\n", + " img1_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img1)))[0,:]\n", + " img2_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img2)))[0,:]\n", + " \n", + " cosine_similarity = findCosineSimilarity(img1_representation, img2_representation)\n", + " \n", + " f = plt.figure()\n", + " f.add_subplot(1,2, 1)\n", + " plt.imshow(image.load_img('./training_faces/%s' % (img1)))\n", + " plt.xticks([]); plt.yticks([])\n", + " f.add_subplot(1,2, 2)\n", + " plt.imshow(image.load_img('./training_faces/%s' % (img2)))\n", + " plt.xticks([]); plt.yticks([])\n", + " plt.show(block=True)\n", + " \n", + " print(\"Cosine similarity: \",cosine_similarity)\n", + " \n", + " if(cosine_similarity < epsilon):\n", + " print(\"They are same person\")\n", + " else:\n", + " print(\"They are not same person!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Let's a run a few tests" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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JITCikGOs3xcQRZEoCKEAQRKZTimuFx1X1tAgWDYNF9sN4+RY3VzSkAjBc/ewp21bTNsxhERRDbfDSLtsSN2S4zSxLgqDZneIZBy7R8/Lly+ZxsoekK1gsViz2z+cQ61QBLoFN4xYY1i2Dd4lyArVtBRpiELQmkL0nm+++oblckkpgiQEk8vEGDGNoF921SKnzNXVFf2i5ZcpVNw8JGSK+DCRsqfXAqLHyAbvPeNupG8bpFBMk0MIgYuBafQIJXl9e4cLHeM4EmLk62+/RaDQjeX28QElDaEkfvTX/5rPP/8cay2//PZrhmNVzp999hkxeFqtGPc7ttsth92OEAIxedbrNYfDgcPk+Obtt/zpn/0nNF2PtQtKGaEk2rYF4O7tHoVl0/WodGBjJdv1CmHu+OXbA7pdoB/vGGNAS80nz28Y7l+zaVvejIEhf9dJuAKiIERBG8nVdl3hHgUZwzQ61n0d68YaUoiEEBBCkmIhxUJRacbgK3vlpCBq2F/x9aZp2G4usM0ME9iWwTmirFBd03TEXJPSelETrEoptFnQzjDYRkp2uwdWmw0XM3NGNQtyqkweoSQgSaVgbUsqGZcSLYWQYoWf2ubMlllt1jOTaERIXZPtpsKMiNmrTIWma1Ezm6nMGKpS1UON0VOEIAtBAigFWQr+lPs5sYEIgDrDEyGcGEGFnCOU6sVXpVwNY5z3IYRA6IrFypnhM/mIlBIXTh6zQs3snYps5Ce0zOqtK9lQzUJCYKEEBLbCKSUTQmTZbzCtZvIFimH3uCMEibXLGfo0DGPisl0yJEcvGgqWGDxN09C27Tus/d8jH56Ey1W5SCnx8w08fV7kr2NAT0UIQZitk1AaIwQlC2QpxFg9vRQiL1/doJJns95ipaDVCpcSdtHz5dffsF22xBhx3jOEGvbIx0eUUjW5dazW9LAf2O8GlFJ0tmHyCSUlu2HicrusXtzjDmstKYXZqxFsNh5pPcFFnl/fkKXAGo0PET8cSdmilOLgApeXl6xWq/P1nbDipmmIJTKOI1JKukVHCIFhqN9pqUhkpAJdFGGK7PePxBTQyqC1pWkM++FIzAmUxDnH/jAwuon9ceQwHNlcveLnv/h5xeIz1QNxjpjhMOwrlh0iP/nR37FaLun7ntfffMs4jhASzjk6Xfj8889JKeG9rxNewps3b+j7HsiMo+ev//qvsYsV/9lf/AUqZ1IYmXwkzMmqOA2YOWSVEvw0kmOibReoxvLwcE/TrrncXPA3/+5HuP2ef/Gf/gkycsb8vgt5RzcvKFm5KUYrgq/sFk+9D1eXGxrdMB32SKVQUtYoyA+kFFBZIYg1sitgraZtC2ZekFYbtDKsNxeYpuX28YCaalJHmao8tTDEEhiGCWtauq4jTOF9WmHbcnX9gsVicf7slC8pQqKVIRUBKSGVQZRSHaXi31Eon6zjEALL5ZKuazgej+/lZeBdbkcZTRHUCBJBKhktDVqrmrOZYakQfY2CS5z3UZW4mF2yFPN5v6dQvRRIKWNMwSdPzFXp1og6UXLFkrMr55yM974qcspsDEWNroUBMSexK0hCFlCkokhFwhGLI+ZAKgEklDnvhCwoI4mxIJTieHxEa8vDfkcukpirUVJaM0xHLsq6Rv+lMLiJ5B159tx/lzn9wQr4hN2esqCnm0N6/2An5fv3nkSpNyaEeRBLRktFZyKr1iB9Zr1cIKkhXkFyv9/R9Usej8MZhD9xWq21GCEJk0O4eo4xRpSQtELiS8HFRIwOd//A7f1bJAJjNF1rsVpCrl5ICgG7KEQXWXc9EkUpghATymh6rWtRgZD4yZHSzFRQkpwy3jmstbjoKkanNMdwREmJyxE3TiQjISpKyaQcEKJmsGWRpBwpocyL2+FiIM1JhYfHPW/u7ogpIbQhPT4yhYCUmhgdwUUykiIkLnistTTWMhyOuHFiu1zz6YtPCCHwz774Au89pgRevXqFVDV5OgwHjDmFgOC95zAcGXxgDI+8fv0GZRRaiXmhCYSSSKMpPp6VhDGGQiZER8gFGSNFOpqmgb5n1QguLy+5++rtd6qABTOkPc/ni4sLHh5eo7VkGDzd8oLhmDiOE5efPCOFOFP6CiVlkBKBQShVudNUrw2ZGF3Ax4y1LU1rsW1Dv1ojteX17S22XZKFhNlReLx7oLEdTdMxupHj4wBAt6xKp+t6utbOCe2MlhZyQap67ilmGiVIKVOMpFEwOsey6whDDd/zKTE2e88APgQIEFNldyhtn4Ty1aiO3qFQFa9WBqEVWUDMiZgSJcf3vOOTbjj9feL0n9burxYd5ZyZ3P583F/tVV51jznnOmKMAGeITmsNIhNT9czLvA7yXO51gi4SnoQnSwc6kqOjqEhRkSwdpQjavgEKw7hHaouPIylLnDsSSsZKSdtqiowIVfBpwh0GtJEY7AzZ/Hb5QAVczlnTRilUUUg5D7RSMzrzvuf7rqJr9g6LnkH3Sh2TouJKIie6zvKHV89YtZamb2lMxYd2xyMuZXwW7O4eMSrQdTVTbedJdDgcCIeazTWy4WGGJ7SEMUa6YvB5TkJNEzl4EBkNdFZxc3VBqxVCFNw40i/qDb1/c4dRmhITQivaridqTYmaaXQ4N54LKS4vL+dCi0DO1SgFH/C5Lq71sqfkwjgd6XKDROFczcIiEkIopJL4kIi5eqNvHx45DCOjCzhXPYs3dweUtmiriP6Ro/NIlRBzVVlIkeE4cX9/z/X1NZ0yXFzdYIzh5fWzMz73+Wffq1hVGWfqWZ30N1ebmpi0lpwjbdvyk198SXl4JCL527/7EZdXV9xcXyGNJRbQOkBSxNmz0lqzWvUYo4ijwyWHlQWh4XAYWJiGVy+uKAm+/Pkv6Jv2w6biP6gUJAJEg/MFlzxKZ5qiyGYJaWJ0A2nUuNHT2B7nR1TKhOBJwbFYLCgpo6WAkrBGk0JEpEwaJharK5Q1LC9fcgiG3e3I6DzbLUhlkIxorWmahvvda4wxlSZ5opRxw2LRETwckqNtLcFn8ok1oO0Zrjg6N0cu4KNjHI+0raXgyUUghSblmjirnmKu1MT8RHEyY7UFSooIZTFJAhmlEl2jmWKECLEUcioIkYhhhtdEQWtFzjXqPDlLsYQZ2oCUc4X8Zk8850yYZvYOFdY5VVGeMFWfDgBnmqsQojI/lMI5h1CF7XZLzoUYKmwnc0FTMftcMo3u8GNEY/ExotCILCEVwhQx6wqD7HcTm9UL7t7ecbwb2K43NCmTQ4TRYxpNnhyNkoRxQJSEFho3jaQU+VWi3G+S/2AIojMtIgtyTrPFAqmecAd/A5lPCEGIASkEigrcy5LRc8XXi4sLrpeazbrHWs3hsCPGyO44UKQlSo00hkghCMXeBbQuSJkZYyYXgXMBXcB0S0LOTL56KxHFYarguJSS4DNaCaws6CL55vUtV9s1i6Zlmhx3tw9cbS/JrrBdrZFUDIySmIbdDKM0eDfVAo1lj3cTwzB75ymyO+wppfD85hkxeo77PSE4rFCIAm7azQmPmqEdxwnT2Bn7EvgYefNwx+PugGkWjJPDh8J6e8Vh8Hz79pFm3TE6j3PVszwZP6UFm4sVz1/csFWWRdNWWlEpM15dKG5ApoSxkv39HatVX5N7JXJxcYF3ExcXa5xzXF9f8vzTVzweB/72Rz/ha/8tSimuLrc0UlNkYv/4yLrrmMaRQ3BYqxElYZQACUY1xJh5fNyjW8nDXV2MOXqi/y4x4BNFUpzD71qVWd+PznFxcQG54FzNCzjnUBRSCtWjp64NrTUURWs0KUastXTLqgyFEASfkMpX1khKfPPNN1xfP2O76em6jt1ux8P9Du89i8XijCX6QXJ794bVaoWUkratFLOmqbSyNB4r/juH9VI8Ke0vGe8m8hypnWCL0zmdKjBJ7/DSGKvhPUFS1aM7Uc0y0zTWsH92wPJcWHWKZJ56qKfXU6T7rkioRqnee3KuFMswhTNeTJGz4q3MoRgjaYYbTtj66RpjjOx2O7q+Yb/fo7Vk2XeVZy3fjcXp2FJWmOFUcXrOUZnKpV/YJTAR5rXVdV2FkRoD2jAMA91ic77nhepAaa0pBiD+TjPvgxXwyVIdDgey7d/77mmo8fTCTpOzTgyBnG+CkdApxcV6wcpaVsuWy03HJ598wsPjHSkFXHA0jcV0PaNPtIslfjrQaMM4jgzhgNYaN4f91lpEEsScZgsu8M7jpge0fVe6LAokHylGgQs0SnD/eOCOR4yqZc9vbndMi4CfIutlR8yJLMA0eqbUVewzjHAscxY3Z5L3ZCFYL1c1AUOmMQY3DkgEShSinxBk/OyJG6nOOO/oAhTN4+OO/WHicT9woVqE1PgwMbiByddJ2HctbhzYbtZzL4rK7zyVdm+WPV0CqwU5TDRNw/Hxvt78XBeky5GmadjvHlgsFkgKfqoe2fGwB2DZtqAlzeUW/73A42FfE4XjyM3NDY93A7Zt2O3vsa3F+Miy7yqF6hDIUnN3u6t0KCG4u7sjNYl+2XJzdYU1321fqKcY636/x6pImjwxFrquoW0bSqpwipuGSlvLGWMlvVnUDHyIeFchKVJVsCUPlFJYXixomhbbNlhrQUiWiwX748g4HpEEQkg4F1ivL84KzDk/z7UJKSWPj49YqwnBcjjsa36h61j07bnoYrFY8Hj79lwUpJRC5kRhri4lnwtfUkycCIBKvCviyLOxOcEI0zQQcy0+0EKTUySXWvLPTAc7rfmniu7cTmBW8t67s5KOMRJj5Hg8nhXxCZ6I8bTNjKfOJ5lyqPkLOPOUTwbQWotzgd1uhzGG4JdoLekagzE1Mae1JqbaxsDNdNUTV1kpRdd1dAvN7dsHnIv84hdfVnptgUJmtVqxO07n66uJ0wap4JRzW25XvNmnX8uB/Sb5YAVcFVjl8XVdx96Ps9VN5CdO7wnAf4rnCFETHIqCmNkOq0axbQwXC8urF1f0q47RTfz4Zz+laUyd6GRKcJgE7v6Ovu+QKSOVJouaWZ5OVSgpY5sa1jg3QSl1cct63s5NdF1HkZIcEzGHinEJyc45Qgis+o6AxBpFIywPxwmfE/2yIxuFFdXTXBvBeNgzAlNTOZZaa9oZ/+m6BuccPhf6vmM3jGgjEUIzDUMtt5bynOlV1iCzQMrCw+OBw3Ek+Modzokz5eY4TRjbsuhbdMkYCv6459nVNd2iqUUlObGwCp08bWPJ2RNDhOJIoVrnQ3Zn2hIhgMi4ktFaMcwhn1R1ki0v12Rp0M2CZ9dbrDV89dVXNEYyDh1F1Pmg4kRw0zlzrXQNW/u25V488uzZNdkNjO6ey+2aFCeUzIj0u9F2/rHkFBbnnNnv96x7SY7xXIGYUkArRdc1HPY7UhYsGss4OaI/4ZuSca4yLPFUMFCV1uXVNev1RcVSR4ex7Xm+dF3Hfr9nHO9YLpcVv52VQtO0Z6enVs3JucAgzAmohPMjJbY1GRwjcZoXopQIBW4KtFqQZQ3TT/s7FY+clOzToqmTnOAq7z25RJLMCDQ5z+t6rjZLOVDySXnn8/+TovLezZ6qPx/nRKV8fHw8bxdCOh8Pam7Hu7rdyaCImUURQ64wWYJhGOj7fnb+6jnsdjtSSlyslvTLrnLW52s/0TrPEcOsgI0xjOPAcBi4v9/XXEgISKNojKWkyO3Dnr7vCSGgtZrpgfkcrVhj3ysm+ffJhyngUq1N1wlKqKHJaaCtUjSNfYf1zN89xYBP4ZDRikYZrlYda6353rNLnm039Mbw07s7co50qyXTWLmKVmlaa7m83iKE5Pr6+mz1hmGo3sc4ni3pGDJt22BEVVqmbZBa4b3ntZvoGstx2JNyRGtDKhFXIKSEtpZsWxCax8MRqRybZUdShinVyq9GCKQEm+PZw1C6FlBMbkCqWmGkXYuWiskP+FHQdpboAz65ububQgkBShFzzXyHmJli5uH+gJCa8ehJqYZd/ugxWrJcNNi2wwWPHw589vzZ2XBYq3FUHmejBFJmcnFIJenahnEc0aZi1lYL2oWib5d8++23XF1dkWNkdzjQdvaMbW+3G3a7B4S2qBBYbLZcrBdEv+XnP/spP/vx3/Fn/+LP2A9HdMmzF9bSHCKNVhgt2V5u+PrNG+7uXyNC4NNnl/zZH368NogAACAASURBVH+fx90ttB5tfjte9k8hp0ZHKSWM1sQkiClyPI40tpYjV0wzzmXjgjQXuAihEEoSQ2axblGq0qm2V8+Q2iC1om0X5AzPnt2wvbjCzUbfTYEkE1eXN9ze3jKOA+v1mtVqxTRNjMOBaaoNn6QU5/D/FP398vGW6+troCpNY8zsIc7sgZwIMZyVjtaakpkVUY2ckshIJc8wgZSSlGsCOJeEAkqMpDIX/HDqdlc92TJXyD71gE/QwuPj4xmKCCGcPd7T+5NB8DHMkUO9H8dhmvVIPe9vvvmGzWZzhlKe6iDnHO2ioWkq9z7HgNaiVhPev0UJyYsXz2fv12GMqUbQSA6HA9ZWTv3uYf+uMGhWohKB1pI4c51LKee2ATFGYvJst5v3vPjfRT5MAc8luEplxiFgWjXjRPHs8f59crKsRgm6tqG3luvLC276lnXTsGoM//cPfkB6dkPbtlzeXKPEFS+ePedme0maIlYYlNB0ix7nXCWsX+RzKOOcqwczisc5PHPeM3nHYRzQyvDq5TOstazWHcdjVfDDUDma2sx4Wi4cnKftFowh0bhE01qICekcwii0rEmWiCDLREmZHOsCGY8Di8WC3a5WKj27uuR4PHI8HKqllYJxHOdybYG2Ndky7nco3aKVpV8tub97PIduZc70Gq1ACnRj6YrBpmr1hRQ0SpKDR6SI0Qojoe9a9u5ISoUU6uRprD0rmpxrCGiMwfuatFj07VyimdBa4tyIsgXV5AqPaE1Eseg6bq4v+eqrrxjdxHK5RDjBsNvRNA2rvtRo4/6IEtC0lrdv3/J8e8HFxQVff/MVn332kq9/9JOKE3+HopSqbAIpubi4ILqHc8jqpsTj7p7tZl3hg7lXQtd1hCAZTXUwpmnCHSfaxZIQEm3b8/LT7/HFF1/w4pNPadu2HqdUmMhaWxN1QnB1c3PGNmPyKF292+OwPyvD2pOkKgYfqmJaLGaM2Ad2u+qxLZdLYkwcDkdKYU7uBVDvSv6flv++j4u+c5yelhArpSgxUkjkfPrtKbqt24fozrjuab/OOYZhYJomQgikVM7erzvBNfP4T9OEkNUzrYapfqe1PXvoTdOhtWWzuTiP4cnbFEKgrTjDDMFNAEQ/oZXFTQM/+9nPWa6X534nxhjG6Tjvo9IyvQv40ROdp6RMCpGu63DTACWdle47R7MW4ei5qOTE/PgH94BFqRnsZtVRpEaXwIpEVpmYC+XoWSx7hphqGbKQZAGtlGiRMFLQ68Bn25beNLxcLrhc9rSd5cuvv6QsG7ba0jcdC9nyp3/yxzU8e7xHWYvR9cKJRxpV0KogDXgRcGXELqq19UGyEJXIba2gVZZ1Z8gCtLI87ncIUdg0mtF5Wl05vi4GhFCVnm0iQgq0VBzcSHlMWAlp0ixtS5wGhoXC5kKDQQTQcm6raSte26rqof/47/5u5iibWfFlFn1PToGcIyFklJEsFgtcykzDwOgc3bJnNRYiBZcjWtd9lBQxCEQu+LkCK6aEn8Y68QV4WXAx8HgI9Hox86k1VhtGX3HJLKDbLilOYRuFVIVp2nEcqkHVjSUjGFNgoVaUAKk49nevWVxcIJTh4vlzVtfPGIbXNOstmY5iB/TxSK9GepMIYeLrt69JXtEryyfLlj95tubNl98ipjU5w/jdIhBV5gVzpklJTYz1/pQseXg4IISiX1hyiUyjR2lZe6SEQE6JzWbDolvTr9dcXT/j1avv8erVKzZXlzxteyqAHBNi5k1nIem6do4easHH4XA4OxWiVBqiUgYfpjN3/WSg+9WmNgXKMLpwZqIIZTCmoCdPN+cu6nnkuefPOyyzGE0NyOQ5oVfhgsypq07V/6VWpJVauHIas1LUGVZ46pUeDocnykqc+eb1etTMTVbk7GcFnwkpI5RESTMnRRs6rblYLWunw75/r9T35JUiC01jyNkSlKaUxFTmfitNM/eEcOx2OyCfec/VcAScc5TZiNRkeIWQlKjRv1KC3XQ4K/xT4ywhqlPlvUeJd+1kf5t8YC+Iwugm5KanWSxIaV6oWjMeJ0rOLETtvKSYa7dnYL+EwGa94XoJL57fsLQt265n3XX89Cd/i0+B1jZcX17xx3/w+6xWK9w0cff6W9bLFcbqyjVOGTk39AizIonR18o6WXmGfWewGmIGP/d0MG0Nj5wPTAOsVmtCSIzeIYUmpMjkwrwOM4JI1yxIIZBCRJbMatXTtRpkpfKUUmpvh+CQpkIiIYSarCsRI1v6ZU2QVOzvCHDO+lY+Z+Up5lxo2pbkPFLFqoxdYHWxQapqBGKs3dFOJaSJSNPO9frK1o5z1IWaU0RoRUiRLDQ5JoJzKFVDqSzgbn/Pi6Pnpl8jJSw6C0ITg68QQtNyPI4IFLuHPdZqlBK1yMQHUNBvVoQUebydUJvaKUsXgdASmaFRElxgP91i1IrVxQqrFT/8d/+Wl9vFmVD/u9TN/2PKCQeMMXJ/f09rItoIpNS0zQIlDfvdAynVarXlcotRFd/unq0Yfc3SK21pbM/n3/8+3/v8n9Ev16zXF6g5L6D1O258La/NlBzpuuYcyUFmuVzQNCf8ORHcO7gr5VlRlDSHvAGkJOdqfCdfcV6pVTXGMTBMI1q253F+2ijn5A1XD7M5r+l3DW5mzm4GxAnbrlVlCDFDEAmX3XtQ4EnpOufORRNuyufS49OYnxS1EGLuLKdYLGrxyrJfzx64OXPqm6aZPczyLkpxM7yi3jE1Tte2Xq/RWjIOlQ46+WmOTt/lqE7jDDM0qAyi+PPnrTUVMnGVlx1jrJzjWPMtTWvOXq9z7owz/zb54CRcnUQaSSGGfH7KRW2mUStO6pOO3tFRBJkyW/6+03RNizUGpQWTqxjuZrVCasUf/d73K8aWEsFNdE2LDw41J0hCcGhTEwNhcvgwzZQUjfehlkCqQmM0VoBwhUwk+kIGrLHYxqCVwk0TrVYgJCFUShzMbeVqgXVNfkhFflJoUsOohMgC1NyJbw6rZJaILAlCkMjYUlsbDsOBvu9JcynouzBPA+mcRa4yPzmCOJPLxfkYJedzL18pJb5k8tyXIZ3CSSln40itBoyJ5APDscIyTddU7vTkufSZ2FQFcDiOUAI+BNpcE0j73ZHFYsEwekpp2WxWKGVqiz8yCoFPtfIrx4SYF3UuQI6IUkvURSgoVXj5yQsuLfi3D9UQzBM1hO+2FPk0bk+rwFJK85yoytMYU43PzLcVcx9rLRStsdC2IBT9YsVms+Hi4qJWop0UC9TimRRQUtYeCjP1zbnhXeJyVrJCFoxSyAQp1ApKIQtW6Dn8N0/w0+ZMg6pVYYqUCnUuSbS278ENT1/PBRG8353saTLtrEyKmD3id+P2q/+f/u5Xu5qd5OT5npJh50QYAq0rm6nrunOBhVLmPWPwlGV1UuL1/QmOqA17hKhd6IwxRGOqscjx7IHXgpRfp86edFrOGSVq8s+HaVbYJ4ghzeeUzvftVyl+v00+UAHXbPzkAzE5UvQYbVEUtKpZVoEC3nW2qpzf6r5v+56bi47OqIpXxsDt7S2Xl5dcXV9irK19F7wn+6p0tRQEH4ii0k5iGImh0lC8qx6lNhprNME7SsmomVyOkDRGMIXab1gKsNpydbnG7T1WqHNicKEFpkhOT/UYSw3xG6ORRaIag4+JTjSkUie29wGJwsr5iRwp0XQdStb+x3LOkFqrubq64nisoUshYaxGokglopRBGYEPCeaewpDmHq76XM7cGEuMgDjhXQbZNtzf3WGVZpocOWQeHh64fbgnU43e9fJ5pdJIjW0aipDEDPcPe/b/5m/5we6ely9fIrTgk5fPaY1mCgeWXSYmMKZFp1pG6lzFuHwuXFz3+GEk58Tz7VWl9qWMEoJc6uSypXDdLxk7yd3Dnt5Kri6WFK6QOMIcYn/X3dCkOIWShegFpl0TxoHGgFL1Gi+2PVoKGm1QKKwVNSKiLtCUwdqG66sXXF1d1pyH1pDLuVF/CA4hC6n42kF5XsS42nI0pUAU1XhmKnUMABsrbDDjr+v1snrjpp09zVqQ4b3HtLUpTI6BkiJt21NSJFtLYlaycu7MPb9H1G5w3odZYZ8UakUpci6Ae59iOsMSKSdCisSYCT5Vxo40eDfiXC3o0aomyoWpJdzn8ua5e6KaH+9lpaVpmrkIRSBlxVhTqjmJKBSpTGeIBUCFuV1lLtgRijUgIQpRecpKIYylWWvyWD1VicBNB1LO5CQwShIcaNng80ASkGQmq3rvfI6kDMr2FPeIkBkjDUpapFQY3dB1LSEO5KDO1/fb5MNpaEqxPx5oSJiSkMpWhaIVyizwoQ5OigkjwZbEwli+9/yGi+WCq2UHKZJ94PZxx2a55I/+4PdnSyexsjYRMUKQJQjq5ArB4f1QFZqq3sii78ipzIkNQdt074Hg4zQhlTqHKUIIbm9v6w3Pdq7COVXeSBAKMT+mx8xeODPU4JzHKDn3aa3hUKcksoCfAuSIXS7pu5YsQCigZLQ2Z/7jcrms3ayoIYwUmhIFKUdavSCJQCMVISuyiMRUK+Cm4NGith20WlJKYnAVyzo+1qZBw+GIFaZmwLueK9tgmupBdCGx6PsaJlMwM7Xpk1efcnt7S/zkBcfjEW0sf/03P6Ozhttvv+ViveGPf/8P8PmR5brHth2/+PLnfP759wg5MR6OmK5AETO1TxAzpAKFhNWKRWvorWVtO7SAN1/+lEv5Ca+ut4h45OuHY92PsR86Ff/RZJomJisY9nuaq+1MiarwxHLRzwUQDbaZy+SLYLFYoE2DFIbr6+tznwaAXGLlkc5NxIUopLnXQUo1669Lc86sl1wb/peSZ55BfbxWKqW2VEwQ5yeIKKVojCE1dc53i3fFOM5VZa903ddTb/NpGfBTb/hXPdmnFDXJr3u7J8ZIhU/e5wLH5KuxyY4QR9pOM061EOrUM+R4PCKEOBcHadkgRaWI5phIs5IWQtSkdwmU2WidXs+FJEBGYESs+LFSiFIoJdY+D4DRkqw1ce7K9vDw8B7z5dSBTc3HbbQ5e/Gn8Tr1S9baIBUoZegWzQwLFTabDU2z+4dPwhXAxUANyeanBJQEuWCVBDl3QMuCWCKERNdanm16rrqGm/WC7bIj+kDyAbvZcLO9YNHNnZdSZpoGck4Mgyfkqhyt1bUnQvD1RoVQLXZVz1ijmdypJWZhf7/DNA3BF5CJJCSvb99UTEgZQogYoZGp4lI5JjhVuuX5EUclEfNcpTbzCtMcbhMSWhS8ipRYk4udMSghiNGTBaiiYL5hai6wELLMz5hLgMT5OoZFGpTREBPGGtqimeJALBk398oQs4dCKYRYr3Vyjtv9gWE/EH3gk2cv6LolRSp0qYUBEYmV4IXgkOtYHO5uZ6NQjcHzz7/g2+FLjLB0N5/ys5/8lBAV3375LUUv+PzTl3zyxRf84F//Fa9ePOft/R0vX76sFCPn0MaQQiaKysbQVpF89UpuLrdc33mOU0LEgU9unpHChB8S23XH1daw2qffyVv4p5LlasE4DmeIpLZYLO95NbX/R0e/aFGyqWsBWPZr2rad71mZy7sFlHgO3evTFua+DCmRcyCX6iik4MnMjfx5h8EqI8+YbH1KjDwXB6QkELYqoFMyqia2Tv0U5v65OZHziQXBmYOe87w/eXqSRjlDG+8KKDxC/Lpyfgo5OPeOUpZLxLkRyEglEDIjZKRtZoVWEjmVc2ex9oR3+0DO72CFIgQl1XNO877lPC4VP8/kkihphiWMIua6XrquQdmqq8iFmNP5urXWtG3lYp8Sh0Ko2tp1HmdZe17WtTczZEqqGHUpfjY27/D8EDxSana73TtG1m+RD4cgSrWupxK/EAIKkLp2608UhKocVCUl22XHs3XP0hQWqqBzZBwP57CjJqdGGm1qpVGqCZkpOIQohJTx44TQtU/C42EHsS4Ka1pShsf9OBPMKydyGB3WZo7jREgRHxKPh32lYs2E6a5fnS2ckKX2+HXVGzFWVZwtuRnvnZNuohBDtbhFzs2AVH3SxKl5TU4JbRWFXG3E7MG0ncV7X2vyZ4/jVBUWcqzH0AofIiEVhmHieBjP2JiZW+wZqQhPmiCpLBEFnj9/gbEdg/MIY2vjdKUZppGDB5ng59+8pt2s+Lc//BuklCwWPY2x/M3tjsNx5Pt/+Eccj47r3/vn5PHIuN/xb378Y7r1Jf/L//6/8V/853/O/ZtveH37QNMvuLq6Rs1Efdta3HHExbH2aS6ZxbKjax1aCYJ3GBKfv3rG9HhHnEb2OGjW5wX+3Ut9buFp8Taqw7mRfrkmzfPyFOavVj0XFxdVoaT6eWPN/8vcm/VYlqXnec8a93iGmDOzMitr6uqJ3aRJGhAkQSJ8ZdiQrvwDDNgGDP0Ww/4Bhi/8Bwz4xoYBW4ItUzK7oZbYZLHZTXYNmVk5REbEiTPuaQ2+WPuciCLp7i5C7eYGEohCZmWeYe+1vvV97/u8nJ2dAakPKKQfT28eq+4qQ+BA79pXXe3QH2RbLnh0Zg+V5eDcoRWxH2or0vefje7PhF1MaoUQEkRJqdQD9X4YVRP+QEP7q3rd+4vqQSlxT2ebpJDd+P8E7qJ8Is4lhvWhnyxTEZY2mYBEjsoER27sV4eQo+lit96k+6D1h+HgX9XT7hd8nyXgkxufufsVcN8HjFEjPAjkCMRSWh6q2/vhtvP5/CC5bJrkpnXOjaiEpII6VMDjCWYYkn+gKNJwPcvT6T1GTeiTkWn/mf6y62vDeIQQNF3HLK8hDglAYmzCvcWADGk4U+Wa0hjO5jVHdcFUSzIR6Xdb4tAzmx0xqSqm0wmu7+m3DdvNhmpa0XvHdrtOi2ffcnl9xbvvvctkltBvMgj6pqPtPH2XqrjVasP19TW7XcNynXrERVkynR+BkmhTIi24piEIy8u31zTbLVoKjk+OOJ7PRvlJz3w6I7P3hhQjSSlJbUAM4w6tAspmpH5wT1kW9+hSLWo8BrVtS17Yg0U4VVFpGmzzHCMtyirQCi8GdEjvSVtDcB45YiZFSJE3XddxtVyw3KxRsqDMCrKRs9D1jmbbsA2etzcL+uC5XXra4Hl1fUMXQY8T27yVDP2SWSZZb3e83DQoU/D08Tu8e3HBo/NH9J3jBz/+hI/endL5wNHZOadnx6w3W+rplHIyHQc/XdpAmgFhAlIrFB6TpQViGG44PZ5xe3NDTpLOdU2T2NJaHow1v6lLSCDEEerSUNQlgjsObVKldFxdXfHeu48PfUpjDNIWqerUmhBSQrUbn4NUJSWJ076NsVcBdF13AM5sNike583bt6lXOqZYsK+6965Jn2KKjNIcHc84Pznl6OiIOKaE391fd0OguyFVyu2D/WEqHl5f0qTfISL3f8991QT3hkr3h037/9ZG4Hx/aKtU1SQtzIRxBmGRIsWI3V8Id7v2YGt/8cVrXrx4cdgw9q9BiKS+mc5S2kxVpVbQvuI/RC1psN6i9UA2tl2sTjD3hOXcO/3EyE5JrYeiKEbDkz9AiZSQ+DDK4rp0+t6u1wy9ZzafjAO5mPr1o+Hk+voa1wf2UPpfdn09HbCIhOjxMR2fhTQQHfmol1wT8F2PCIGJtZzmiodFydxacqMxmSH0jqKoyG3qwXZNqiz62KOKjF7BECJR2dSQtxVPnn6DwTu6oed2scKKCikNb6/ecHt7y2azoe9bjEn9t48enKcKfXQDtW1L7xwnJyd88cUXVJXF5kfIszNevHjB589fMgTBZDYnq2p6kyPDLUIpDAJiep0gU+RRDEgJXTlBBdBWoFTExY6m88yOj6hsRUQfpEP7G9a5tPDmeY7RniJPD0frHP0Q0FjapsGaHCk7wIOGXrTjZ5/yq9rbDhty8qwnGMv17ZLloGldYNF6rpcbLt/e4L3nZuJRInLy5Bg2W7qmw0fohi1KWXaDIGjLEKHvdnz+/HM+/flP8V3PP/2P/xPmF4/4i3/7A9b/y//J7//Ot/nWB495dvk5KibKVFVV9N3A0fEcVeXsmhX5bE7bB6a7gA0LwvqGBxfvJpgJChdbLt5/n1ZW3L74GUH9JmloYyKGBKlSP7LtNpQ2DYLSoCgm2EuWHzSo+6Os0amFJpU5fNdaa4SUDC4dVYdRjpWyyAaGwXF9fc3l5SV1NWUym6ON5f2PvpnmF116LoRKipm+bQ4V6dHxOIX3A6+vFgSpKHJzUEEAOHe/57t/l/7AAD4MsO4pE+4bL7TWXwGhpw1mTN0mDVsR+7DLJLuMcRwyjoqAxGzQMM5glFIoaQ5/X9OlhXez2fKjH/2I29tbvv+d3+P7v/17B+PJoeodF3tjBYvFgvWm4fLtDTEmuFSSmmlsZUGog5xNawiDI3gOobn7yn9f6e/t4N7Hg6lMjoAmQhrYpR506rvX9ZTgUwrKfmMUArIsp64niCi53t78SoPlr9cDTrK/BLoYBpQM6HFXNFajupbppMJqwywz5IAxetQLBvZourqux4nwQFTiYEmMMbJeLZPrpOuwymJyy/X1gjD2pYSQXF1d8erNa9brNaenp1TTGY+P3mMIIxe0KonAizdvODpK09fFcs3VqmEYAtkkYz6ref32NUcnJxyfnrJer/HhLVmWcXx8TJlpetcTvCC6AZNZumbH4Dx1bg9Hlcb3KDSq0BiTYfK9my4t0vuj5l5qlTCNCeC+14TGILDW4KJju0sVRNvtxngYwXa7w1qNDwM3VwvWqy0ohTIZPaBswdB1LLYbNr3n2Zsb0BZVZGitsP0tTx4/YXH1FhsVZT0lCkkUBh8ibtcQhGTdtMTo2ewi33j/fR6dX/B//+AH/M53v4epJ3zx5pLzVyfM5xM2vaNuBzyK2/WO954+4fXrV8xnObEFESJt07C6XVJlOeenxViBpPvAecdP/vQT5o8/YDqpfuWe2a/vunODHR3PuXqdFDZ7y6sYVThP3nn8lWpda42SSaamjL4jksU4Dug8q9X6UFk+f/6Sly9fUlUTHjx4xJN367RY9Z7VrmXbDRwdnRCV5XKxZLPZsFqtUFLy7ruPCUPAG/CDo6oKumbLzWKNpGc+nx8wrebe8TzGuwXTeRLTNya9axoKygOWcn+FEA5V5b4V4F3z1+Ra93vAbd8SgjvMTNwwpj9bizX5uKGkIWc/9KzWO370ox9xdnbGP/iH/zgVJtns0Ha7PxjT488mU2S9R5icYjJnGBKN7nq5YrFYoC08uLhgOp3iilTZGyUIbp8OPWbYCRDy7jvfZ9+lP69x+1bNqDgqxu9cSsnR0QkvXz5jNq9JWuyOGMtRmWG5ubo+OHV/2fU1F+BIWRZjQ3xI0/QRFD6bT5njsEpQGMHxpKTUiirTCBkSuDmCVXfDAmvycarY0/fpaDZ0A773GGNpXM+2aSnrCVdXVzRtz89+9jOqasJH3/w42RaVSUDoKEAK1k3Hq1e3FEXB1hlefv6GPM/Zbh23XdLBrt2C8xOFNgVGS9brJUpEhm6HH1qGbsM6s0ipuTi9gChRQhGlIO5Ix8thwEhJnhl0ZlKY5nhcct4jQhj7XskhJIRkH7sixGiesOP0dayY5OgpP/BN2x3WlAxdf7gZ17uOm01DWUyZVCWvFy1Hs5o3zYYvlyv6APnxjGXT4K3mww8/5N22xfmeb3z/P2C9XrPe7ugGz/TomD/55M/p3cCT956y3a5TTpySfPn2msubGzSS//1f/SG/9/3vctM2/PGnLzBVyVExJZud8u8++Qs2mw2z0znFpMKFgaqcEKKjNBnzsubB8TFWCq5uVqiiIMst12+vmc1meO+5vr5Gq98sCyJVRHfH9iSD4hA9ZEyimG23W85Pj7/Sx9xf+2oxgWIGmq4dre4bpErwok8//YyPPvqYrh1Y3CbLtrWSbdczDI4YB94uPsMNgabreP78OW3TM51ULG6XxOA5Ozvh9OiY7naZZhcRRBSpHRdTW2N/TEdKYhhhWDJ8xfq7X+T211+1Kd/X8O4Xwv8vLfFBEREcu21DkuYVZFlOZiuk1AQf8XFgs2vY7XZcL265ePiI999/nyzLqLVmaFOxst0mvGZZFl/p3fZ9w6Sesdls2G639J3Du0iz6yiLGtTA9c0iDUVdqvjPTo5QB+OUAj1mxP2VoeL+c9l/NkrIFLE0bmQhpMh6aSRS6nE42+DcwHw+H1UQYhy0b38lbfvXbEEkv7sZnSjDMFBlGud7jFFkDurcMqlrzuYzYujJrUrSK5EmtkKn/piMkSF4+sGz7VpAsO0GdsstJs/IYnKnDSHy/PUXfPbF5zx68A7f/53/kFW7oUOw3TY4WrKi5NXlFVFpmq5l23p2uzdsNhvabpcka1k+7tTpJjqrXlGVyd58cjQhEJhPJyACq9tbWlT6YGceKSM2t2gMPrNImdKfQ0zxMy6ktgwyVT4+BrTSBxH5/obee88P03SVpGXexaStdi4pJGIguI7CGlzfo4Rgvdwkhx2K2fE5OitYbBt8MeNf/8lPWTUtf+8P/oDj8wtilvHv/vwTltsdxWRCsc6YzSY8e/aMrmt49Pgx8+MTvvW93+b55Vtul0umsxlnF6csFguef/EFXsqUh+UGyrLkj37yU04mFScPz3n25pZuNkFnSzJbkU0U5+88pNvt6DZLcNA3Ha7tMAJi1xLajnldoIzgerkcyV6aZ69fE12aUv8mL0HSgEdvoek5UklOF4oJwQ9kVtKsWzJTY8chD4NExTylmyCJSuMQ9EPP0Pd0XerLbtc7fNeDU1w8+pDXNz2rXUOZ5UiVONGvri7H4V/BrmlZbTcIIej6xOXtcKxur8hthn8bExxIK6aTKiXHWIMRFoQlRE0uDENI0i0lk5nIe0XwHqE9QkW0DGhU0jQLCEqRZSVilGWGEPDBY6REEwiyYBi6FPETAnEcoAk8MQyobgeNQ3pFiBpbzkEb+ijIFbjQ0S1X9M2OZr0l0yWPnj4hM0l9hJMIsaMfBLebQfGEhwAAIABJREFUNUpm2FKy2u7YdS27tiEjteC0TlX78cUZq9WKRbtjPjsGb1FS8urlirPzY6qyYLMdkEJjjcKLpArRWmOEImLHTSekWYQRbIXDhy7JYI1CSJJ8U0VyK3D9hnmhkb5NbXGtR6iXYLne4E2OVxbhI/qX3NZfewHu+0i0yYgwDB2iuNsxisxA9Li+Q8RAbi1KQky2KPZEo/3OO3jHMDhcCChpUpshgpWa3vkko4qBV9fXnFw8wpYTHApTlGzajuVuh0MyNTnbYaBtOtabDas2TW4754kohNBEa+m7jn5E/a12DTqztP2OsrSczCcI4Qkx8T1DSJbh3iWLtM6S/z+MpLEQAtpown6oIVMFzpiLh5KH1sP9KmOP99tfSilCDLh7riEh0uZmrGZodmg5TnmFYn40oRkCu87RdD3Pr2/onOfJ0/c4OTvDlhnRWpbLBeu+p48Dqz//gv/2v/tv+Gf/7L8mSsG66xDPn7MLgSH4hMgkMJtMkcDq5obLy0vKPGPwnuPjYxbrDUVVU9VTPv38C6QbaDdrfu93f5uHR+9wdXWF73uOZxXDNiJFep9lZplUBa7vWXc9kfS5Hs0qdm2C2cfb1a90XPu1X+Ox1FrL0KZpf0r1DUQ/MJtPKMoMreXItE5DrfuV4508SxwANLe3S158+YZqesTz19ds2kQHS/KmNNFvZWpRiQgPHz7k4sFjJpPJIa+tzCSLxQIlIHrPzdU1IgaWq2senF+ktJXphBgEbdMSvMWoNNwcfETpFA8VPQeutVIaJQVCGpS2BxBOekbVOIgbtbTc9Yj/pitVp45ts8OToYzBZBY56miTi3Vg3Tq2zUA5maP7AalTiOhmtSaEwLOXX+JC5PmXbyAKhiDYtg27dos0mkwkYM75+Sl5nrPeNVxfX7Ner3ERjqenGGtwYeB2taZzA6fHUxwp5TlGTzX27Pd8C7inKhqLpP3P980iRu//TAK3+9jDSFzcu1v7vseNvIt/7064GCNFnkGUaC2wisMNOgwd51WyaRoVUSJQ5im6RURwXU9elYcvMS1kEZvnXC/X+DggpGHVdESbsWzWXN4u6Z1H24JOGjJlebvpuGoWvL26oRscaEO+3HKzXOFQDCG5ZWxRUE2mbDcrgpIsh57NekNeGCaTCa4PvFmvUdFTTirUZsssTyLwoiixds7NzRWb1Ro1g+BaskwRvBl70akKlkomraIg2bCVJOrRhx+TaiKlCaTIcylB6zEuGxhcOAw79vKhIjN0mUUSUaWlcwFtJzSdZ9UMXL55y+Xtil3bEvM53/vubxGk4HhWs9luU7xRdORagO+ZnR/x3/+P/wPrtkmGiklyw7Wu5e//47/PP/+f/me+942P0FIgj+eoZkNJ6m0NVtI3a4xSNNsNP/7jP4bdloWMTB6d8c7DCz788H0++/THyBjJtSJ2Di0SP5Ui9X2NBrduCSiMzXn9doELnphPQCm64TfMAyY9jkmepBDWghSseo/ve5oYEx6ySjCYMKRNfr8ZIwQ+JnqW1pbb1ZK+G1gulyxuV5BNWLaOL758RVaUrJsWQsBazenxCQ8evoO1lmk94dHFA9arJT/9s58QfWCzajg9SXOR5XKBknB8NCU4z831NderWwqr2K2WhDxPXNq4V9kUoHO6IJBJzooa5aRurH4VMrGex01wr9NNBYQE94vTHbxPi+KmaZNbtMjReYkxFmWypITwyVgRTUFep+O7MoHBe7bLNa9fX7Ldbnn25hIpNJsmnSCOjo8pZ5JgwvhaOrQw3G62XH762dgKSBtNXK5odo7JJCUXL5ZLzFrRDS3bZkJd5sxm04PK46/dA/eMJQlvoA4bR8J07lOvU6/Y9V1in9zTXscYxzzE5u7G+gXX1x7CxZiSFqoiw0SHHxqslImOJM0Yd+3ZNDuKLEciCEKhFJhxWOFGaUc/9Ly9+RIhLYOPvPjyJQ8evUMnJEsfuOl7olKczI+43basV2t2m4al7+g9DEHie0ezvASliHLkcxKYTAu6piWfVZweHxFcT15bLs7PeP78Ob3MUEKTCcWrq1tyc86ktGiZ7KPtrqGuKopM492O20XLfD7n4uyYxc2S3W6HmdRYDcF3xNHSqa0BmRKj9bgB7qvevbTmMKmOY8GsJEqnatloneJmBoMfOvLK4DcNURjW3ZYXX3zJzXbHrmlRxjLNNL//3W9hMs38eEY/q3izvGEmAovdDp0XzB6csl4tePreQ47nR0ij2W4blldvUOslJ0byoNCsb5e8fvmKynV86+EZSMHPfv6XZL4j9o6uH5C948F8zu9999vkNrK4fMEzWo7n83QACJKIAhmp60nS98rA7eoGIQz94Nm0PY0PoBRSagYviH87LMm/92tfAWZZMseshx0QCc7h+h4pBVoKnABiABGTZjTlTBxOMUVe8vrVFyAUTdvz81ev2WwbApE3b1O0UFlP+OCDD/je975H9uAJABpBXea8fPaCzz59xqyqyW1GFBsqpUb8ZLIghcFx8eidw2ter5e4vsOoVKV579nstuTlFCkN3u3SKVQrInoMrUw/h3unU5RCjewIrVOBEWQykIRwJyEDDgtW3/e0vQehMEVBlpWpMBl/P+xBQyLHR0eVZQTn2W63fPnykudfvmTbtDhTUlUVde6xfZ8swcGx2qzQOikZEpKyoJodJRlfdCy3DduuZ5IHVrstpyfHuGHAEVg3SQW1a3OkNUzzVMUrkXgOUtwNE+8neDgfDpWsFBLXj2G73Z1xKOnpywNgK8uy1He/p9z4RdfXbEGkXtcwODqZcseSNjgdK2/WHfPpjK5r8f1AbmxahIWirlMMvLDJfhmFJErBR9/4Jj/8N/+WiEJqw/O3b9n0PYu2YZCKfhjY3FzTbBqkF7S7jsbowwcjlKQ+OmZ6NB/laD1FZSmqjA8+fELfNvihp9m1nJ7N+L3f/x4PH53wL//VJzw4PeXJ+TmffvKnfPrsJddvLFVRcDSZ8PC4TlB3G7Fa0vctitTTzqxk6EkaV5VkLns3TV7l1GUJUmDD3ncPeZH8+XuilDb6K4YKcfhCBdoo8iKh80LfUJUZry9XPPviM/7iZ19y9uCco2rCYr2ku7nkD/+3/5X50YRNu2Eym5FPpxxLRTd4+m7FdnAURvNwNkPGSGg7VNPgWseb2yUfPzyhefOSLMKjyhKKOdP5BFvk5LHjH/3BH7Dd9YR+IOw66kwjQ4+MLQ9OJpweFxhbkNsMnMP7hHBshhaTadqh5WZ5w9nFh6w3A5u2Q8gsbehCo7KC/lewbf46r/3JuusanOtR3tOM6SndaFdXQiQlR7wbWGmpQCXvuVUKHwXOeZQy1JMZV1c3vH57xeXb60Nqw/xoyuMnT/noG9/m4299m3eevIuan46VZ8S1DT/95KfM58dMi4pHDy949vzn/PCH/xJrFdM65+l7T5ifntE0HX4IKeDSaIqqTooGP6BVei2DdxhlmE5mxDDQbJd4lwaMQo/pvWP1p5RCjBK61Erxd23D8FX78p4elz63jsEFlClQxiKkJhvRAMYYdu2W7XaNnZRkukDEgOtH/e8w8PDphzx89Jjy5JwQ4LNP/5LFYsFi8ZZMWh6/84S8MOSFZrPeYUyBkBmb9S5V/Cpwefmaq5vblIgzDGTWMKkKrq9uyKxByhNub1dUZylXLy2kgkA4vHdrE4siAF3f/rX3C/voowR09+GOD7yPRevumVr4JV2Ir23ESDt8aiMURY5VGXFok987BJquJcTA8Wx+OH575xh6j7U5QvmU2eY9i8WaP/7xJ0Rl+ezzNzx4dMqr5YqHT5+yXAQQina34+r6GjxYkaGMxklNFIrJpOJ3f/d3R31tz09+8hOQkZPTGR988AE//cknaCH4zrc+4pM/+TGdG3jw8Iz/4r/8z/kn/9l/RTWb8fF3vs0Hjx/z4x/8EZs3b+k6z265ZXsDeWH47rc/Yhg6juYTILLdrLBGMa0n6YsZ9Ypu2KH2mXNjOKlzw0FnuWdU7KtfrTXC7clhX50mKyEP8Srrmw2L5ZK2bTk/P+X7umJ6dJoa/zanUMny2nUNQs7I64oXl1dk0fPb3/oWRT2hPJnz+vmXbJe39F2DFJrjouadx0+pp3PE4mWKZFrcYgR8/O1vgU5tlafv/Ee8vn7D06cfcvnlayanRywv3/DgwQnT+gSbRc6OZlwtGqTNGQZH3zmGEYQfVUBbw9HJnKurK17e7gi6SEOqYaDIKto+yXd+89e+r5uimIa2o6hn6LpgaLt71uLERUg4m3DXv45gtUbmGW3nKcsaqddcnD9i5+HNG8e7jx8ymR3x5IOP+fCb3+TiyVOCMmTS4IKD6Fgtbnn9+jV5USC1IC8LBJbnz94wneUMruK8e8BMaco6x+iCh/OK5eIti/WGMzkhug5XNMyOLmhDZFJVWOlTFU8keockubs0yWF5vxgQYxW31+8OfUgwGnVXAd+PFgoh4BBkNkNqi7IGHwODCwTf03UNDx8+ZHCS1XKBcwM31wteXd3y4NF7vPvx93j05H2whma740//7Cf4AL//+3+PMlf86N/8a95evqIdVjx8+JjoI//kP/2n/It//n9xefmG3/6d7zGbTLl8fc3zLz5DhJjWnbajrjKGvifLMk6Pj+/keWLUNQc3tgtH7obWZEDb+YN0dOh6rJQoIVBxnMkMd4YUt4+RUpLddncI//1l19c+98U4pMRVBMJBITXGWNqdp7aaSuVUVUamBLmNiLCjKDOkjGiTFuRd12CF5un5I5bXO3plOXlqKM7OeX75U958fsW27VA2IwqLUpYoepq2RSvB6eQB73/0IScnJxRVeZB//eVffooKhqJTfPEnf8mw63l985bPfvZzTmYzTo9P+MP/4//hB//ih5yVlrC5otY9emb46KNHfBoTnq7Ztfz8ekGZaVb/9k95cjZHDAPHsxqdpUpWK4FRHjE4dG6ROgen0DEjNIHCZgSbJqh+P4yTAl2kBv8QHJXUaEjHLCJlmdMFR1QpmqXKDXWRkxdLzs47QKSYou5OyiNDyWa14rQoIERi63kkDWeFZPXyGWcPLrh9+ZqJd5xkhlDUuOjYbDbU7TV+e8lUJjv4e+dnXN1cs7p5w9P33xsr8I735yf4Ny+4sDCbSt4/f8qu2TK4lnlxxnrVMjGaXCiEyhhkg7IeTc8XX7xADIppfs6bcE1mLP2wQ9qcojqmcbDbrFDuN6kDTgvp/spyg2jVmHjRc1TVLMYQ1OjDuACNFl0hRtBOYvHuK+O6rml6z2+dnqN/8jOkhkwEHj88p3Oe9997lwcPHxGVQRUTVByzAQd3yOwbhgGjJX/yyY959vOXXJw/Ytsumc6O0aYgonAuzSwmx+dMpnM2y2vWN68JXUOeWcoHmsqW9K7HhUQx1EpiNRA8IniUTNTBeG8BlqMcKwRHHFORpQo4Jw7yqn3Pc1/l1nWJsXmy75NSjb33h3RoNww06zXb22va7Q7nIpOq4OLRO0zmp8zPHhLEcBheFkXJ2fEZRa65ulzwyY//DKc2OBf5+KPvoaShrqes11syW/DRRx9zVF8xtB1vL1/T77bkeU5ZZFw8fEj0A8vbNcf1LL3+zJBllq7t2Uc37atgpETr/vB97gmFUkpEuJMbKpmcrm7E1VprccvNQf//y66vH0svkgZOSo22FpNZNLB+e83F6UMeXJwhgqcuLL5Pwu3U9I8jdMdxPJsDksXNGtd3rPott7dLFusVj06PWa/X9ASi7xGkHCajUwTO8cmc4uiEo+Oao+OaOE4h19stR8cp26wRJU446pMps9MUKS+DJ88Mt6tF4tNu12TW8uyTP6NZr2g2ayoB3g1oa3j4wXvMJwV1ppgWiswmfV9ukwll/++qg84k9QP3D/LgOkyejbpCMfaATRK/xz3kJAHOQR489FbbMWcr3Qjbpmc7dCPYR9Bsdgw+YLSlLARH9SlXAiZ1TbdraNuWB+entEPPfD7FxcC81jS9p+93ZFaRKyhNTmkiwUpmtub0+AjvPR99+AFt27K6vT0cMS8ePkCVifxUliXD0DOtJ8zn09T26RrmJ6fIkTsAKT14cB2Xl5esbjuszZHS0PeJyaFzSzt43i6WdG2CE/1duGKMKem5rti83SLynN0uHXODS7MLLRUuDndtsP0vpRMzBBico6oqdm3HgwcPMGZAq8jsaArKorWk9w4ZAJnYDgiJj1CXFXVRcru8IkZNnmc8fPiYuq65vn3F0XxCXdcobek6h80KynpC6Bu0EqjQw9Cw2az47POfM5mdcXR2kSKDhgElIiIKZBKUISKosVC4/35gVD5oTfDD4TgOjCQzd1iwtNZokWHy7GBZbscILK0ytt0mVYbrW7rthtvFgunshO988ztQTQnAm7dXzEdIf+IZe148/xLvOppNA0FRlBmu71BS8sM/+iFd05MZiwCsNlxcPGR5e4vRkr7ZkVmd0sm1xmSWGFJYZ13XKBHx3qHkXdjwfhHWcHDitW2LRDA0G1yMINNpLT2zX9VNx1FFdQAV/ZI28NekoYnE+xUKORoOVpsdpTVom1OWOW27o2t2MOSUhUGNEBkhx0w4YxnafszMsnz3t77Npy9fY+uSq9WKz16/ICCplSZKiTKaXgTy3FLklspoSgMTA7HfJGp+mZPJjI+fPGBYXdN1ScTthkQXs1KggUJJIHI0nfD44gnTMqPdrNkomDx6iLU5YYTvqMJQ5zmz2uK6LYoBLcU9KHM6iiptRlJEurz3I69XHRr7+59TisD4hX1lvQkp1tqnlNnBO7rdDluUeCWpjuZIFMPg8WGDcoEiK7m6uuLtm0uC97iux/UDOgqa7Q5lNGWWs9luOaozjkVOCC61cNwYy+0G8tzy4vOXfPTNj1OSQbul2W6weUrZzbOM3EgESXpjpESP0Uq5tcQiOYTywrBZJ5KdUoK6rjA9lGXBF5+9RmuL85oQFSGk5NrlZsdm22KLOg3ufmNXckoJLdIpRafU30xL/NDRDh6jJGWRYUSA0COiT0oSHylHDGgcjRwiRhAOIyOliQzGMbWWbnbMZHoCpkQLixwcme0Qu1uGyZwgAjrP8BvB8fkDXr25YlrXCCWYP27w1z2T848SyF3XBK8JriO3itiBtTUiaIKecnL6kGef/Tnd9SVa9Dy9KFjSp8w0IdFGEQT0cSDXHnRABYGKiTYmRpiPlBqCox0cje9ACZRQOJ8gN9paYh9QGcihxygwyqFFgww7lJCsl0usD6wWC5ot9H2G16eI2RPC5CGz8wsaF+ljwxBmo9TU0DYd2+GWulBgGsppwIvA9Khm57fkVQFCMbQeUySXW/Ad9cRw7ifsNuBdj4g9Q78mK3M0GosglyC8JwZHkKlylULhZABlwEVEDOAdRgra4ACJG9uv/dAiZUrgUCriPJRlzXK5pe0LXLT0wSH1L55tfP0WhGDUuyZ83Xp5w6BVkuN4n1B6KpkPCpsRg6fIM4zNEMETfcRohVaKzbZj6AMXJ3POLs55eXnJ8fyEzbYhqya8entF2/bI4DjKK+bTmhACed+wev45k8mE6ekpJnpq73mgFd18xqvtBtxAVRfkOsHfdQg8Pj1n+uRddBTYtsMPPWfzGjEp8G70jmcW5yONH5gUKeZHCYE1GS50uM6j9Z3Bwhg1ArdTSoHzPULkiUSVmFWHHT31z1NPTYqUVOtJR09I+l8JB/ZvlVka78hjdSA0Tedz8JHV7Zo8z7Gl4cWz5zSbNUakf2u73aZ486HHdy3tPmpGwdAmu2hWKkQ7UOU1VWlpN0syrVFGIMqMvCooisTTEHEgz1IlH3yX/i4Bu836YKt+8eIZ7zx6lxCgqmq6YclMVVRVTdsmCd9uO2rBlQZhgIGyqOmiIbPF170Vfy3XwSJv0mfZd/3B9XQfUBNjf/jz+77ont0bR93s3lJrrUXbHFjx/Plz3nn6Edv1CqEMwQXmRye06+VBT3o0rXn67jtcv3lFVaXWksktx7N5mux3Kf6r3W2ZVhl1rujbDbtNjxKRKk/c6AfnF2gZ6bsti9Waajo6+MbFJElCNUKM/IrRHCOUQWqdWNoEQkgD52KvaOj7r8i4jDFMJpqJTpphP6TKWCJQMeUi/sVPfza27irOH73D07Nzoi0prOHkaM4wGpmUiJS55Tvf/hZXl29otukk9g/+4T9is1nRDSuMLUDkhGgRmcBVBWWeYVWALlX4Rkmmkwojp1gjiX5IyqbTU/I8+0olv78SLkCkQVqzDxG9K2H3M5p9X7jte4xMErh+aOm7nhjFIZLo19CCSBPg9CuyDwUEOD09ZbVaUeUZdVUyndbEGA4SjSxPD5iSoFWiRk0qhVADudRsOwfO8fBoxo0QNN5xNpsx1KlfKVKDjFldUZg05YzbHaJqk4lmGKBteXx8wvmjRwzDwGxSI4mpQveeOs+oTMbPf/YzTsuCaVWgYqR3AzJKmnZL5gM2L3izXFCVNklUhKDre2JwaBmYTifkeY4fo2r2nAspE3xn35hXY9WvlR0fRH2AoRiTgCEHmctB5C4QI7Zv/0XLjDuCVttjVXpQdrsd1aRgdjRFR8HqZoH3gcyk/LmirgjB4XtJ57sRWwgSSbtt07R3iMymEwSRqi7T70uRGB/eY8sCJQUpGhSUlofU2/2gcC+t896nz8U76nrCcnU19tAUq9WK3lc47zF5QRQCHwNFPSN2gab7u4CjvJOh7fuaftsnxocxo9AsXQfFwL3vLsYA8auxPvsFuus8Uhi6XcfV61fMekccHP16Tb9aUB6fJcZKjNg843Ra8NH77/Dy5ctR3C+ZlBW73RolE+41LxQPTueEZsnl6xcHvOl2u2ZX2DF9I3B2fEJeTBAibRRS6JTiK1MhIIVGYJISR8lDWsYeQ6mtwPUBGeQ9s9BdO8JaS64MIY6nh3HRGrqexdU1N8sVPsJkOuP4/AH1dE41rVhtO0RoaW6vkDbDmhyMotSCxw/O8M2a6JokaZwfM5ufsFxdYkyGC4rFzZrt8pYnFxdkMRC6hjC0TLKMfD5j6JObdFKXaCVotzs0HIqivb14LxM99HWVOqxb/l5MlBvfc1FWrNa3iDEfcX8fDMNA3w90HfdOyb9YCPz1ZGiQ4sOjZ7dtE7qxzNKimCnO6hMmdYWWaUGcTlOfRUqFVhKpNDEmMLlEYDPNREmW64Z5WdIfTYgedGnphWSz62kHmB8fk5VZSp8YWtzNLd45KAoWzRarDdPplByo8oJt7/A+0Lx6RV0WLFcr3jk7w222fPHmDTmSbd+gfAoFtePuL6XEhYD3A7OqQHiPyiwRRZCCSTXl9HiCd33SBOY5WiR5TpnnENzYdnAoqRBipPSHkG5woZByn2kVUValHL3RIi1iRElBkDIJ4WNkUuR4a9FIhmxgsJbNpuX4ZMZ0VrNarcjLDIWg9glyFJ1P1P7oyazGd4K27RMUHsiy8b0KTxcbomyp6jmu3SKlZFJXFGU5bq4RLVPzSY+7fUIXJtC8FCny5ejoCOcCRV4hVSCEBmtKlMyIQRF8gi51fUc9rYlZkvuI3LIbOkL4xWL/X+t17yHZ24G7zVWqoLZ3gaH7vLV+rAD3jqn9Q7Z3kO1/RgjcaLSZTmZsdx2z6ZTcaF5+/imrumZ2dMI6yygWKZkBmR7qICCTgdwIrDI8evQotb+aFY/OT5nXBaubG/AdwfVoA4I+Lai5Ji8yqvNTstyQ5zkojdE5ET8G2+5nEHczHWlsyrDTCqFH1KYEMSZh6HHwGPd9Uq1Tf3jUFGuTjQyTNqkj+sQhvnjwgOl0mt6fMTh6drs1WZbRrhesb2+QylBVNfXpA05OTshV5Ox4RtdsmE6noCRv377BO4mSAtd25FJyMZ/yzsmcdrug321omg4RAoWWKAdlZjmdzzg6mqcwg2FgUt2l5EQCfd8eCoh9ASVJCNI4uvi89wxtd2A0K2nQVhCDGANBk0Q3ccmL8baKv7QK/toVMK5HWZhWGTmaWW7JlER4h5TZWBloCmvH3UWSj4mwRityWxICybE2JMfNpCrQUlObFFApjKQP0MUB5zoCEjNS8QWBXfAoKciswSpNVZWEPiWYvrlZECMcnRzTN4nJS9ewvb3maDLho3efMJ1UXC6uiWNi8nK1SMkTJsd5j5c+yXO0oesTCS0IQzmZE6RkiD1yfE+MdC+p9PjgpS82zywhpor2fkyLlClgkH28S8pEHqticTC7iDi6cLoOESNahOS8sxE1q4hR4MJAXpcEArOyZiEFruuZVDW73Y5+1K82uxHwI5MLyoc01bbapBaK0uRWI01y+Ng8YzKpUq9rzN4aui0iDkQviVKilTokm6RpsKUsCrRO782Hnr7zLG83eA9GV0jdE4Ykfh/6pJl2MsGQUL/BIZwQh+P2vnJxzo3g9Ql97w7M4/THxUGedR/XKFXKJbs/ORciUpYlish82iER5LnFDz1CgHAN3bBjvVzCKGlURqOsYbVeM5lO6H3E4smNwZcFvtmybNeo6FIlXJbMpifJHJTZNPvIM8rpjEBEKcOuacZFx6L0na5Va3tnj5cifQ9CJmG0VoBAyUjAIFt50AmnpBpL71KmoQ+QouUjRo8sX6WZHh0xPToCoG9aokmtSyGS9dq7SNN0dM0OF3qe3VzzpVK0fQ9KcjKtKOocITWhn6NISeu1zZmXNf1uQ7db0W+XvH71JUopptMpVV6g6xxrLSfHR0ynNfi0GRqb5jd7fvJkMmE6rbm9vU1o3L6lkSn9WI9goGEYiGXJbrdjvd6kNsWwQ2pDHAH8iQAXCDH8ShI0+FtUwEpCbg1VkTPVglmZo4nUZUVZZclJZhSzuiKGAUkK5PTj5H8fzSJCMnBorYhBwtgimB+XLNYbOhcpiop+8PjRY59SAUpeB8d8Pic4T12UIxJQYqSi6zqyKMkKS2YVQkQuzj+g224xmaYZtjRv17SDY7fbsFhcE6UwpmtZAAAgAElEQVRA6ZxMGYTVoAyTIqWyWiHJJhPKSYnVkaFdYbKE1qtMml4H74jBJUBPCKNESaP03QO6T9JVei9puUt1TT1FR+88UiqMUigR8E4gSLtrlqce5K5JGQNN16G1xFQVNs8ojCXPMozSKATL5TIdF5VEaHeAjRN8OnpK8P2AVirZOOGA5NsvhoGIlhBcT2b3UKFIcIlZEP1dtHi/azGqhuhQSqCVwXvBcrllu+nQKsO5nizf210di+WK252nd3FUT/zduPb9Xufcgce7bx3dsUz8YRHeX/uqd78gpxnBOKDzPVWdI2RyS2W5RStDURQJ5Ti4wwS9927Ug5c41+HbFrddpfaB68jzAhki89kRYrSvZ0XOttkRBORVmbLRTEaIAmU0tTLYcSCUvv90ypLjWislIPUeipze95hu7gEf71Iy7hsTrLUMPn1mxtpEj/PDoegQIvVEnXNJQePdmIYj0EiUiujccFzXtLsGqdPvd/2WpmtBavptRlVOOK0LrJghCexWG1yzZL14ix96VPQcz9M8Yj6pDhtEURTkuSbLxiIwGAgOOYZ/SslYAGmsTbObYegOaMp9cgbcuRwPTOEg8D7inMf7iBx76V3bHfC6v/Re+zo3ZkQQlSZTljIqqhipARE9uYpUUZAbm7LRhp68SD5tbSQpyH4AoQ+9SKXMeCxOL3wyzVk3HcePLlgtN7BtcUNgt2txPr3cGAXn1YR5NTn0HheLBZPJhKZpUr+5qOiaFhEcRmm65Ro/DGy3bWKiugT56fuBoiyp6opqOuH45IRhGFitVpTHZzRNw7TKqUpFaWAYeoyQYwULMna4UYye22zcJATOQzsE6iz1U50L6RgeE+jZhWEEvYSD1CXE5JVnD4MJA0pFJJIQQBoJMT3QXe+IeIauY2IlPZKmWSOkAOmRWUau8gOzWLTbw/AgL/PDg5EXNvU5RxJb1w/4kLKydrtEkauris1mQ1ZM0EaOXvgUdChVZLvdIpFoXdG2iXImTZ4qIVsTXIZrTeIGO8/J+ZSoA/W0YukHVBexxqLUbzYR4/6VkqxTZdg7f1iQtdGHBWj/gO+HsYdfYz9YxogP4XCiyYxgWueH9k89mWCMReq0adtRN7qHve82mwN3O4RAOUJt2tyQ5UlzK4QgBs9qtWLV9sg8aeIdirwsUtCsTA7WLDOIuM9oSwoHgkDr0QavBVGrZCKSMoURjAuPEil6Xca7GcZ+MVZS4kIcOboWiULvK2Cdnm/pA7nNaPueIiuJPiE+u6YhtxmZsVglMFVGKTPaoWda5YcNcLfb0fUtqg/o2CF8QA5bqjxD1jnGVPjo2HUVRqSor/R9pQ1OGYlQI/dXGDJZpTaolImqBiASwwHA2o6h6w9ITyFEmkONxZKSihDv5l9pQXbjM+aR0v6NuM+/6fpbGDHuSPLGpJTg4/kkpcAepvki9Y7EnRdcqRF6rPZHkJTUeucikuNgJ/VPyip9GPsY9K7z9N0w4jATCjIS2Gx3aCMT9EeI9HPXJVq/8/TjyUrERLpSjEJyJZnOZgnoPqlhTDwGmM1mDCJQlxlFaQnB4ZzAGsVuCAh51//bV7f7wdTee3gH8h6HNEISoh9j5UGptJjtWadwNxTYw5yzPCWtehFQIsmGlFBshy1hcEzrkn4EUicGafoC9g9JupksMrqDT33vYvqrg6L9g9+PrZyTk5ODxXI2myH0XT87jIm++4othEDX7MgzTT+C1W1h04boHVKnhzlr01Etr1IbSilDVRn61a/mGvr/6xqGgSrPCX5AqQTad333lcq4KKp7g9N0pc9zfDakRHh/SKOQIiJEhtSewQekMomFYTOs1kztXaWtROILlHlxyE2kT4D+SZ2z2aRep/cej6dzDqOgKFLll+c51mapQLm3SEgESusx7ywgpECqQEr9EMTRLCTkeCpLOU0EkU5D+37ofsJvjCEAlc0QUuPd3XPhvcfHO4uvMgbT98gO2r4juIAkaWytSie5EAJZnmG0OtxfwzBQZxP82EuvJzOM1qwLRSYlXalBCrZdiy0LZEwnqSzLRtayJc9KTJ4dvq8s6oPuPt2/7lDR7x1sh2fFJRxoWZa4rh/ff59y+kQkhIi2GcG7lDnp/SHG6Fe5vvYCvA+rk0Iw9ImNsF9ktEg9UCHH4y4pJDDtHOkLk8RDaJ5zDmsVMd5NC8OIc9Rm/P+FI8tyqiDwLoUWNn0K4RRCpCO1UnRdOw63An48bocQ0AiilFitsDajrmu0Etg8Iy8KsizDjeQoY3U6jseI0eOXZSRKq1TV+45JlY0x3zGlBe03kJFnG/y9aO7giFGnj0EGJPrAElBCkhmLGXvHHjGaXO5wgIkpoMCPYYyA84GqKCnzir7vGQ8TyZM/bo5FZplUKYppP+U9BCuO1RvcbaYmyw59QCnl4fXvF3Kl0uKfbmxDjBrvHd6DzdLwIrQB1zZsukg1mSDlwOA6pBZELRBGogaBVZr5ZM5Ns4MQOZof0Q7rMZvhN3gJEFFihWEyndNu3iAQZNIiVKoaQ/Ag4thOMiipsaYEI8Z22j4x2SGjRCPwcQxvFRqhBGp8LkMYENEhhUcEhZc50Xmi99giI8sLuqahmEwYuh1RRoYw0Lc9w9DTb3usTcCco3pKXj9MqhklMdrStg37cEhpNFE48qRjAUiD5RhBVURZMogMBWhpEEoThRzxlJoYPEpLur4jxIGASgtuaMeK0CN1qrK7rkt+AZnaZ+b/Ze7NnizJjjO/39liuTczq6obIIgGSJAc2VAcLRxS0h8v6UUvepkZkzhjQ46MNBIEAQJodK2ZeW8sZ3E9+DkRkYkiGkUjiI62sq7KvGvECT/un3/f597Qd4pLj8Ez2xVrDDbC9LBiRJiXglTFQkrXzRJSRClvVDDEm4KvEz3uBs+HDx80yyyF0TlG4FrZKxaVhQfn8A5sSbjq16Hev8qHiGWta14qM0d2e0lJFbooWCv0g2eN6qC1lsg4Bi7rhbvbG/LjwpIE3InpMjFPCRFtzP2q45MDsDG79NIHVek4YyGrGYhFg3RwriptIDjFZ60UXHB0fdhwJMiVh6ivv8YrYMip8OrlmVcvz1yvC+uSSKkwDHDO3cbRK0VHDp2GHaeRrJmf82YLLKfTibHrCUFxYhyc7zSLiZeLNqOsbiB93zHnGWcdIgtSHP2g3FfvQIqOw+5qo1G0zqwqqUZJauXALr5QD2E9hymvWONpRohtE8tSMMZjXd2grIpHrKjdZU5J38PV1L5eiyxFF7bVstSIRXJi6HtMYrPVaxkK7AG4cy3oZkLwlNJMlgzUgYpGtKEUfKBIxhlPhe612vGFeYoIMD9Cyp6bU8+LF2dWWbAEglPOdN913DnPWnpWCep3bL45GfBmL1gzorguDF3POI5PoId2nd1hnHtr0Ino/K52rrM0q8uw+cseJ0rkVTO3VgFJLqScVRW6ruRYJwGnTN+P3N293KC8rutYi+Wm0ghFMqfT6ck4MBGFs6TdaLWc1r/uXrhWS9cnn23LYuvvbQWNG2OAuradN1tF1AZdijSWz0zJyog6n2902CyW+XJVMYQAIjxerlsAFHL1UHlKD2w0z1xhvPYd2rlon6v1NLz3W0a7fcfD9z5WhO37OecIhK3P0XUdqbJfStEq5Tgzr837axOWjw3aX7nWPnVx2loqWwxDCJi6YNW+beXufIPqqjWLdc5s2MowDPgguigQxlOnFyjvXNIwnrm/v9fd26TKu/NPMmUpuvCv16te3BfnbVGXUrDV4akNxGwXoZ3gu/AKkVhltZFU4nZjtRJr6FViqTLqpO5SVs047NZ4SRtRu0EQOgp8rwisscTKCfZGNydKqUIN5VMf55HlpFh7xmC8ui3Z0G1BPgSd5wXCqe+gzcwa++37Y0BKYhw6bXgeFlbLhtsi6fueYJUi1s5V+3tT8oWgC5HWcBT1+HXGYmxBjCVJpAueZc5c799Trhnb9eSSsBZimjAlY2rwvjsPvH7/Fcs8qycBv17J9ps+jpidtZY1Z1XIHTivLUNrAfB4kx35pUV2aatr1VlGGzZbENbr1TZqW2QLwsYYlb4CzneETjfKVhIf4Q9n+i0IDsNISrHinAZrNYtzJdVcEsph02+wRZJWuRVKSnS93rfG2o2KdvzTvq+x2rjLJW5DNxvXPca43Ruh8wQz6Pc2hbtbzxAG5utUJ34rF3wbfUSua/owOsjsI5LE7GKXVjl2ToNtG7TZmqBNHrxJhA9CiWOgdM6B9wqnmoIEhT76vlcZt3MYNAjHJWG8YZkjl2liXtnIBn3/6yk7P5kFofrmTCkta7KKehYh1A9uncVbp5lvcDiNOeQUMU6HFe4L1uKDwVjlnDqEIag6R6lahr7vyEld2ESEFOt8ukEH+Gkp3m0Xz1T8NWel42h3U0uuGHOFGDrEQjF1YYSgFxFD8AEb1DTdAlYqe6BSt9qRDp3748Vs/9dFk+mHAKIjVPQs6v8VktDnOwzFOkIwFNQMRUSnidhDMHRNUZeLBjfUL9UYw1CZCg1LFNHJrepyqM29aZq2zWjDNHPCeYv3jlIyXR82f1MtxTLNrESzdSFn3QxyVpx4vB1ZJ2GZZ9I8McUL0Uj1J1CTmbvzifOLl5giXC8zkkRNukvCyNd7p/7Gj3qOG/SycX37sE3JPQbHNpxTahDY2QUKGWFka8oVATH2ADXZp1lwhaKkjrLqfNgmG2tCcAZ2N7LWYN3oZH1tWlEQKRRR5aQ1puLPBksdnSSV1107/e09nG+DKBstghpwbKXNmY/+sbVpp8mUJjPGd2oN2w+chpF5XtU1zWi1k03GOM/QdfRBhUoxRtbZb4lEkZbg1KkzIiRzCPyHzL19B1PXObB9tyPktjUP6z3VqpZ231qrfsjNdKmdg2EYcMbw+HiPfzexfljIkvBjz+WyEFedbZli4eb2jjU9HXL6Tx2f7oJdF6EcsMw9u7KVKlabZLKXu22zPp4MzcLYduicZcMqrW2PO6bwBVC+ZUoZ7wOmGAKO0NUdJxaSZLzztdw5E7NSxJypMlggeNmnvYpw0/fbbmutrWbNReWRGNaYdTCn04be8yzgeGz/rotlG+j3EXPQY8ZljAb/LKYuaCGL3rTGqoItZRUsFKOYlaljs63RJguiNCMxdZ6X88xx3Rpmz7uyyq1+Sp1qn/dYhrpnFCRjDt/fCqleGx8soXOsER6uF+I668DTnOjCmWEY6LuBh/srUi38TBH4NRbrb/LIWUUwrTfhvYeUcN4jJm/83hgjXaiBtwZo454FI9NKew5rRN9Hcdka8Nx+fyTZZc45CalkumEgeM3cum7chAL6ekaDRB07tKaF0Cm/NqcVk0VpvRisOdKnGlzgt/drv2ubhRiLq0nMuqoRVss0W4aYJVGyQiqlUtSGriOuek9JSXXycsa7jrEPRAuxOKjDTq/Xq9LRurBVoKErXK9XXRe2q/dk2pp+UfbBohvF75CV9wdY5RhUW+Btx/H3bWNtsaek/TktgIcQWKaJu7s7TsM9r3Mk5oQbBlLMiBic7yhmJYTAVGdRfl0Q/udhwNbqhT18QD2BllyUB1qK0RNng7IGfI9zAZFUyfp6lFwbd0Y7sxSjdJb62k2nnt1xxpIhpYaxeO0uW8VkvBNSnUe25sS8zvT9gHEVl3XafQ+hYBNYNzLmnt4HYlRbSOesjqzOBW8suWS6ELRBIa3skyc7aGtePSlrBDVOkbIFx03KTUFyQot5oQgY60ipqH0lTreyrl1EAW/JSW8s4yze2moM7bfAsY9TCcxzrotgDxZtEvFxYVgLIqU2RTtEcr2GUhVqlj4oO6VI2krrkrPiws6Tqs/ziRFXoOSZ1+9mJEbuhgEvkcsyk2Lk5nzmqw8X1jURrCc4xfu+CUcphcvlwqkrSFYTnlgioZa2XYVw4JCFiW6tVuqftgbYJ9KIfbZJHzwIjDF01pKkbAnAaegJocfgyCIq4Q4BamXXdd0mGc6l1Oplh4eGPuCNCpdKSZgiiHsi+nsSlERE16o5Wkvtldw27ywlpH7/FmCM9VuPoYhm0gaPc4UYs3pV1wBqiuK4zhtOlWrWGvuxJELfcXatR9EgtX0q8+jCk8SgVPzWV8w1HHjZT2CSZ3jsEY5o5+KId0ves+6tymj9pLGj6zxxzsQ1M6fMvGbe31/php43b94wLXHzAP9Vxz8rAIdaaj2ZrVQvYC5qKN75wDjsXX5nlfitX6gpw/SpDc6w1tWF1JgEu0Vce299vGwXv3El2wVyzhEq4H7yNyxrwjhLkUQqFZPznmV50BKwFJ3jVY1s2m4neSE3LqRIbZgpRcnVTFbM0+z1+d91F6/PcaE2LPbn6I2sBkaCwRbtHlurM+UslmIiYQh16sZaLfVUTqrNAIPU0muo2dGyLFAK53HUTrHXWX0fPnzgfD5v/M6W4VA08LZrCtVIP+dtESldrllwmupTsS9ajME4UdzNWCSvvHrxgpv+HRadzhutsljWdeU83pDja/x50B7CR6qDf83jeM3meebUKbQiVpjmiRI0G8tmN9zfA9hT3LjdzE8KIyNPAsHTSkQqfmoZ+h6xllysWpdqGo3vlZYoIpAgk+nGbpPQYgRWEFQl2oWAkwpV1T6GVGVm+77PM8Pt8x0eo+u/Cji8pySdFt6w4pwz3vq6RhKltKBXKFkFN7uAQ6df90HPzyyJvt/n0EmuTfu6PnOukEsrbmPcBEXPq7T9/P/yOjrSBY+Qw7Gie/LH7lX9EYZoGfdp6BiHniUpzXAczpxGyHQsKXE+d4iZD5XvP318ohADstXR2zkXxUZTxCM4STxeHzmfTuQSsTmQ58QSM90QKH7Fege2U1WNQBcC0uhR1apRUsKKaGlipWbFyi5ISTmv11pSK1VrIaVI1w2IWIZhBKODM0uOdMaoH7CzmAqMT9MHrPHkHNVBzCtOViQp6FuEklelskgh1Ow8I7jOE0sml4IT5XsqH1NhgN55bBFtpphAjKaqyBq1DcWTxW9ztzRnUVc0ES3PrLX03UgWp9p9oLMOyYkcV6W9ZfAVC8wipLRUyljzpLDYUHAkulErBVBtvzGGlKJmb6YjRWVQON9KL61gWlMxG4V8SOCKRSRgsnrYAgzcIB0Y20E4c+pv+VZ/y+dfvudbpx/RpUiK4G3mw/sLr1+/57OhR7zjPngu5bcbgNvRGjwp7VlPK9NzzsiBCbDBNvW5zzOtYwA29XG2BrjyDHt0zm0TtTWg6ibsfUCMw1jF/Luuq81tt02iKKJj4XU6UsDV922fzVD2YHPYLI7VW+vaPz8XGuDLlvkeobeW8GjlV7ANSjK2pv87M0d9sAXjdxwWx1a1GSsKoZR9Q7C2NtncvmGYNe949jNYTEShsB0KetqX2a6F2dkpz5ty1lrKYXNqFX5KcduQbm9vGceR+8vKvCRinHj9+i2/eH/h7sUZEbfh8//CLIhdWEHfkZENq9QLap40d7RZEPDe1czJK/m86hWMUUZB4+EZo0TxPdPdcZnGcmiEcozBOd39wzgSfM9UJsUVbdmECdLKRL/fRPp6FskVwLeNXmf3nbUUuooLm/ad3Q4zuGdNlNYNPtJcqDdAy4ZM3QwaFSi3hoV1iLUUMUQp9bE6FkfwSlmzVmOdVZGLFEtZFZpoN3Ip+0IKQRtpIQQkCcplbONk9Ea0rnoYVAii4YPttWAfodQgF3X7slsFIlQPXdepsXjoCHjKWPD9wB/98Z/w7v09/qsveXj/ltP5hvOLW5Yl6mTeruN1LFvW8004dN2BNztVqwXmI/zQDlMhiPbHtgBbCS7GfJzjcQzYeYO0SvXa3gUPxlpCddLbmrFurxQVftsbfgbBHOiR1M+UGuPiV3wOY8yW0B8DWymFUqvM4/OstaQsWxV2/LkGtyPUZcl5PdC0dF22MVDHvkI75/o6O0xg3dP+y/PvcQx6xyz3WHUcf/8cpmjf+/l5ef4ex+8pRSr17fJLTb1/4QBcT4xRX+BSg0n7QN57pKhD0DyvdQqwQCrYAN64Gjz33Rl0cRinvgrugMXYw+6ECN455mki9Fpqx5j3QOOrHj10GNttZSCVntJmNmHg9qQiBnV/qridhYIGKO8sll4tIYuOKylVv66d3Hoeiqrt2vd3zwJwyypEhJwy2WozTUQpXBZlSRgRnAkYpyb3Nqu/MGSKU9y53fi5JKhBWgyUVctB6zRTRqCkhA8doqkDhUrPM9qUK2kBrGZjDmxrGlkOmVCj91ScTwoUnYOmHrJGCfeudvSN4uy+O1NaGe483/vDf8P9PPPi51/yk//7/0LIpLQoaT+uzNOF6fr4FJz8LR6q7rIsMTOOZ67TSm9ektJKXHVt3HQ9oVfFFmUFd1YIxqormN4XYL2GZGMMpjy9yduGszepayZpLcbo+wy9V8ctKQTX0TlLipHgHOvlAQMMzlCk0FmF6xBVahoLkgpFBMGSy4qgg3BFGubrMcZuf8R0Khix6l/tXNCMtggeNZqXUohFvU/U6lRw1mvAt2q0lHIhL02MZTCVESLY3XTJWUjgjcf5nYmR/bJBijuz4ZDNDnaziLT13FIKBlOZJ80Uy2wSCEvbNC1Gys6FRrb/csk4o+ZYwakVgCHV62hxncUkqwNQzUw3Gk63Pct9pMxCLmCsQUwgmECwmfAROOT58c+bBW4NydS2id13ja4bAM0W47pwPo+YBNg9S1Zay04JUf8D7dY6p0btO6d2JzO3JsDNzc3mozsEpboE63QYIuo1HAadKLwF8FwIwSMCa07kpEV/52vGW+lkUq3mhmHQrFSEznmwNQA7HSdE22WtpZhnDZlD6VNSnSFlHcZaSkzkKvag6vG10UA1CPHa9DMF0PfRxqHCEy0jEpRvuMTI6dBpfY43GaM+xt6azYxkjTNayajxj75eE4vsSrjGvTRGDUest5SUdDKuN6inqoBV427je7B6MxmrEtXxrmOKkc+/8wXDzS1f/PCveTsJjw8f8L4nnHsWkz762X+bh6qw9plvRfbJt9BvfYJW7bla8e0MHsvzTAieduOPlChjlJpmjGbOyoRQ6bhxlq4biKmQUt442nuZXp9XT5/2GbT0l8raaI9L+Wnm1j7r8bVorAi3i0u2jPOwST7PVI0xrHHdegc5S23o7puM1GpgH0xrybXyPFYWR0jkeB5FhGLqCKX6M2dqJZoyqRRc32w0Lbn6aBhR6qQGZbdNLmnfo012fvJd2TncpeQn97Zzyq6aVsO7e7VHENFmtHXQBUss9teq6j7djhJYYyT3lmIcqWRSzmpzmDMxaYf25uYOUAMZZT8YnZdVdG6AtXaT75oiSosxBnKhc/5JYFMalMMNI2TVsCsHc5/c2qhDUoR1uuKtGmQXA11wZMkqZDCagZZciClDNaZOSTMLESFHdbS3aOCP61px4UzJmdgwNbtn6UfoZVss0hRIhRDcBkOAIDlrZiJgbVEifb2JrTGUWMiqu9wXR65jy1Mip1phLOsWNDsf6ucyxKXeqIKe56Kcam+1q27rAve1w7E1DIpsTmcp5Y0q5lynXfki5FQQUzBOF7sYyFhVyaEzxHQNF3zoefnZZ5xubvjed7/L9JM3WOO5XCfyKgQ3KBskf7MC8Hx5h8/C7alqvU3RTSMEhv5URTs688uFX2YUHINku2mPN/HzspZDNhdC4HSjrBMNDivGqrCgr2KhuKhviXMteB3Ka1NhkMN7bIHM7oIc2IOMjlQyT4BrDZyyvc7zZlX7WYOnjgHT2qfPad+3c16rtFKw1WmuH8ZtQ1rjvG0yjZO9nddS1J62oE1q5zAYrBiK14rOOY+zGghLyhgDvoHidf6d3VgWvww1aMKRt++vG0p68nsfAq5aWWKFlFV2fz6PFCkYI8qSSF8/ZOCTMeB2FKPUmiXFbWfPqYHuT01K9qyqkHKqI4tUTtu5yke0jQlhdx4mR6XLnj3kagzirNOBfDUbBTTTLIXSXKxKVqtDpxeoZY+IToN1xuKMNrOkcWyL2ZRCOectk1W8ViW+IlKVQ09vsLYIRUR9fL1TbwALvguovKTCF9ZhxGy2dhaUgmeUi2nFMs9LxXzVwnNdFpCsgbAkPGziihA0mKa0U/a0weG0N2LUCEmK1JvAKD7vBaTZLCpA37TyT7J5YzHodWvSWkx10DKWSIGS6Q6LvXeW7AOkzO///u/zs7cX0izc3Y589fotP//wlmWJm6jhm3C069jwXzFqhdoNARdUAm59wLpAN4zqqQCbwCU3yhh7pvWch+oPWTOw83FFXbn68cT79+/px0EHgopi//lQHX4M7wS9BxpX/XjvWRe2PkWjjrZrnnPGuD3LNewBuG0cH9siWwDW9zV730Go5uQ7zxiMJjH1c/ddp7JrUd6zRRRPrubuAD7sDcRSCp0Ztia11eaFfk9p5/AgoDAVzkxZ3QbLzmnfcO0Dk6K9ZkvojtnxU7y+cpC73ZD/5d0tUSzzuvDq8xtSNvw6QwY+WQnXTkYqmVzs1vgppRx2mtbI2EujkmsDzO6cWStgOrdlkaAMAIOKCXLOVZGi2LGg0t7C07JfT56ruJYjx7jt9KREyglb7MbF1LJEP1ejP9nDTu/QgN70+Ru1KKu4of2s0eqOxzEz2BeJ3hAadM3WgKTSzhCrOnmnJH5TwDiDFJ2zJ1awFfqgCDlGJdubp2VsaxK14JHqOHFXsb6SqfBJKy9VHNKyKC0SpN405kmA0A469bM7lQ5XCANjsNWqMRe2LN6QVcBRWSG35xvGceCrh3cUMXRVuSdJpw18E47WbGuS7XVd6U+9ltLVrrEbenwXME7L+iaDBZ4Ex2PS8Lyhc4QgRGQzvjfGcL1emZbdt2NZFpzvtsfr3LbduUtd7Jb99Y1WbQY2emaDI58H3xZcdTM1W3Xa4AkdsurIVtVuzaRGSjWaETbqWXt9XTNP+a+mZqdtbWoFZvmd3/kd5iVisiX0HV0/MuNQPXYAACAASURBVE0Tobq57fzw2udwYH1H14JkbVb2XV+r6t08P1frQWMKFqeCGauvdbwOW5JxaLS2tX80pGrnyncB3/UbLS3nyOs37/mDP/wD/rc/+V+4e3Xib//uR5svxq86PpGGVvHdYsnZsmYDdT6bOjH5TZZZXMB0Kqe1xpFy1NLhwIe0Fb/ZMNVcSDFtDIa22Hacq7IiQt392X9mbWVeuLb7GXLFv5yx2oxIZQvC1trKxhAkC9lI9VhAu3L1vDWjjhITqxTWnMDVwYwVG243kxTV4h8FGU3i2bT0bAFfx8ybxs3M6HgiUNy26zaxRUorS1SDFkomrRGqQ1WDGkpSyaYxhiyJLgTWZWEYOsh6o1hj8U5pRdbqZAt1+FHRgdsqmUwIHYKQWhe/QiqttHTOYZxTah7ggo62kVxUw5/ASdEBqAaSFO7u7nTCxE9+xu3dS+5evuD8+e9ydT//RrEgUtLKIudMkkQnvmboZRNBOOsxrWnrd5/g59XQ877Ac+hhXdfNi0ENaDSgZTlUMMZV/rRWft57gmsUuY905TnCA/vxPAt/kjWbpwKMlhU30UVbL8eALWLqcpbtvG3fUdp77JUt6BAAXCG7DMZxmSeKGM63N5zPZ97fXwjDQMxZvduq49umvnWG4D0lZVKB4ALjqd8y4eBaIrJXFQpf116LKCPpiDkfz1M7H43i571nniea0CQl9TIuCMPpxOk08/nnn/Py1ef4oeOv/+av+Ld/8kc8Xj6wrvMTJOBjx6dBEEbAZAZ/QoojmY6r9UTXIeJIq+5YxhgdnSJFWQnGUFLCFkGCeeLi5ayFmAk+YKwndqoMo471sEaFEzlnXPDqleta99YcSjk9YTEVut5sX77z1VOh7tQ5t0yjBpaWIbiwLcCSLaQVb3SO3WXS8SR5y44qfpozU1wQLGsu9N1I5zskB8ARvdXXkAKiI4EMXjMNU5sSlYJjTUGWSOgHilMMLRdBTESq4CIhlLxg0gJLHdhZmwRA3RQMnRuZHhZtiiZLsZW+JBFjBHFCEu3+llIok6uLdS9rY8kY3C5JrV18bEBcIKeCF0+wPcZaVtchKdMb9cFljazzgg9KGwxOfVuHmzsuK7w8v+RnX35J9j1rXsll/qSl+Js8SikUVMXVj+cqSKkTSMLu5Kc37tMMF/ilgNgqvmOQbhTGZhQTi5rbO+/pup7g9X2MtXgf8CiHvKnV4jJvVK6cdep1CxqtqZoP5fXxc7XjeWZePoLvtubbx5qKIoIU2Rq2Wfbq0FYf4y05ERXh3A4nVaVaQxFDfz6RBcQYPjw8EBPVTlKTs9ANW2aq5yxtjcU2hcM7TQJzUXWpbgSqqtXP+Awjf6ZifX79jtdxYx9VWKnrOsTcssZ7vFczpRgXlrUgy4wLnn5wdJ3H+d8AC+KILU7LTG8DSx9IzhGswYd9hHdTS7WFYYRNPWPVgUB3VXast+1axwXQnt/UKA1DOmbGTzON3Ri6Xbz2u1Y2lJRBIHhPF4LOcqrvQR3D0tyZWilCfa91mpX7ijCvSu9xXcAZU+k21cEpW7IIZJ0esa51gfqAGCHUhWkrV9J69d21Rv1YiyhVSCSS685ri2GeVso80d3ecrlcOJ/PzLUE7boOOXThj+caAUmyZygCVuxG+dmyeFf9f2VvVgxVCVZqZmRrGVys2UpdZ1QhZ1PB1HM+z/NmIViyMAwnUkr8xV/8FzCG//5/+jPuHgqu+2ZhwFJkOy9ihSVFejNig8f3HcZr9p+k4GUn7R9xxaeNqr3cPTKCnFPHMFe9qnWNabAahkHH/ORqmOQM1vuqrGwCCKmufjs7Iiad6HD8DE8qyMM99rGjPc9WeGlzIzt8ry0rPQRg6+xWDTvbqsB9wnTX6YAB3wVsUK+WGCNiLKFOFz7f3DBN087jP5wzZUF4tZ/tB4ZxIMXIHKPCXNXytr1vLspqMtLsJvdM/3henl/7Yy+nZfXLsmz3SDt/3nv608gPfvADrlNErOHdh/dcr5ctdnzd8WkBWCBU71adEgFriiwxkwb9uw8ql1zXlWLhdBq2zrqWR8ouaE5Npu2emyfnnrI/19yD7o4xPy15nu/Yzuym402u3P7ebo5QRRwUqThsXWBGPRwchlQX7dD1lK7jcrlwvV71xnABisFJIJms9LEcgb6WpXVD2HZeV23ytHEltvkqA9gN/pAC4g0EB1mU81mpY+0myjmzLgsfsuCC5+HhUbMO71jXSO883nqmadZJJXbHtnSaw/gkEDQIr2Ur3nsyQptSopuEAaOvq+RpBz7UBpzDG3UDy20WVn2tlukZZynGsqwrKQvDqFjfj3/6j3y4n54Q/P+1D0EbbYjSlEwxzEsmp0KIwskpRbAU8G7AGmX1KJaomLqKWNgMdo5QRM7HBOHIgtDnWOvJldftrHJie5ux1pCien0EowNSE2oQlUTU71fUSEhcz3R5xEjWQZ0WrjkhKVIw5Az4gDcewWFNwNp63Yx6uyQ7genBdsqJl8apLUrFtI6EQYyjiGFdE3leSWtWJkLI9VwIxQqlGdnU9zElQx+q6EggxxrQwEYNcJflkUJ5Og6+JKJEQh/ok9UGqAjEiMSFtEaKaGUbSsK1wG0FFwzg633fGuDQMGpdqgbv1SmwFBVIWQvGtgRQq8EUFdteLosqQgUe3r5nToXbl59znWc+//wVZxFkiRTT83VtuE/OgL3VLNRlNQFPWVhzYUlwPilLoGWKjZmwCRZSVpViEWpCprhipbA55/R31KDbPBey7tppjZSUKfK0bJCaAWsmLWBk6wK76hKmrAR9LRUm5Nr8U8aELUax4LhqE8pYOtfx9sNbxGrm7Gyg8z3rmlhXddjHmq3UsdYq6VuiYsOoU5at7ldZAVWl2BWLzwnnGp6GLuRBpc6ds/Rdr5/HeEI1cr9O1+211rKSp4m7ly92c2xbCfMieKvYcJJ1D6zV3+F4tHl2Oavl5oYjHjJgJ1U4omoNkjGKt/s6uNB5cjVWiTlDTJRW2iJISszLwnVZ8f2ANTqJ42e/eM27SwLzq7Gyf82jbRylqPXk7bljmmZubm62kU2lsnDgaRbVMsNjlvm8dG+PO/5s86s2uhbU9awQa+XjjQbmJaofiPrTJoUqcibFBUGbbUe8ck0RYxy5gHdPaWTHUls3Yw+icxcRhak637HOM/LsnmsbeFtPxlhSU3aaNgl8ZhgGrHGH86HNu5Zo5axTxb03rOsCnWHouq3BKDkRrD7Hi6nBUa/PMl/rpqbXog2KeP7n6Xd8erQg3677sQF3fEwpRfm+tSmYpVBEjdjfP1z44vd+n4frAx7H6XTa78evW2tf+4hnH7bRobTEd1yWlcuysJSiAbmouUw3qFrIoviviPJYc0qq3moBWdRkY02RdV2fnLgGSzQ4YzthFbaQoq8nW9dd/SWasXqDHlqZJ6IUn5TUKo9cmRiVWWBE6LxXRVkRpmni5uaGU/Vaff/unQ7nk7oROfUydViC69B5hntTxgKuYoRSVIE0z0sVKuhmlbKOUDLeVQVVdYDD4caxOrcFQtD5Vn0/0nUDy7JUapmjJOH92w+qDHQdKRbSkgg2qMVnEiSDM34bnOiMV4XRIct9Xpa1myxUipgaCll1MfM9VPgi5YLJhd4qtBMqO6JVHO1auDDy0599yTCeuLl7CVahljUVsvnnaYJ+E0ejQTaDohasSimbHWQ7fgkT/ci5fI4PPw+CDSrafHCfYbfG7GW8TroIG+zW1tqyLErpNIZpuhzKdgPGkZ4Z838UzzUe4zzWdVh/UJMaR8FqMmPMZlzVqi4xVRtQhUwxZmLMVZCV6szEosNpn32vIxUOoKwLy+WRrkJ8wejPemexddaa957g9T7r6ngzV1Wlx9jRzmM7tzuO/HQD+tgGCWzf5yh0KqUQc+E06hh7EZ0/N18nbm9v+fa3vsX5fP6ldfJPHZ+WdojUuW8GsCxxpRiLWMeSM/O6qtLswAxossI+dIovFlQUUINcU5FYa1lTJC46fmUTD2TFjoPzW0b3sUXaAl8TULTnG1FqWx86HSOyRk7DuF30Y5A/+oxO06yGH5X9JamQU2GdV0SU9nZ7HrU8DDr9OZiggo0kSBJyNRwna7M4pYILIylCLoZrSoj3RArXacY5xc4757E4iE0E0fiGhpvzbf3c+p0750nLyrquPHy45/Xr18yT2v+t66r8SJTpEOeFdZpV+IK62knK2zVo0x6ORHTFi2W7ieEgVxbBFG0MaXWyG7Ycz2+7Wed15f2HezUhQrPn8XxH14/E9M0RYhyzotPptMFYpRTGcfwngxg8DbDH1zv+/2PNsOeNu82kpgapLgw1C3WIkvAJQcVIWtk74roQ46KTimvgSNUoSuly+2c+due3zyNes1Wj68o5q8Zah8futE2z9WRc8PU6u1rCVzokdosV+3u1f+sfaz3Oqfm8MY7eecbQYXKBlMnLyuADEjVxU4Z+vS+sTtnpmrz5I+f+n2q0PT/3x6B9pHO2a3F8bkyJNSXuL1eG08h3v/td7u/vGbuA9+rP/DFzo48d/6wmnKnUJOc7iiQu88IynCgoaL0YwxAj3mo3PxjwlRNnkrCmHe+z1agnhLBNF26Zx4Yf1gyh3RiFp4qilp3AXkYcT24jVgN7kHa2CiBUedeaG6l2THsfKEZFDtfrVfHteuMF5xm6XlWbOROCYwjVn2IVTDB0Luw8zJirBh2YE7evXql7WxEuq/JfnYHlciF0QhCPpAv5/sKcI+PYM9SpHsTIy5ef8Y9/9/dcRKuLdv7WkjBrpmQ4iWU8n1iWiPP7NAvvNYsttclkrcN4thLLB/298a42ABXPzUbnmnnjlIsdd7OivGTtbOeicutcsMhW2aSkdu2X6cpXb99hz58pfJLVqD2Wr3eN+k0fW2OSncvrKge3v7EbtjlN0xbcrKvBxu7r7XjjHTnU7Wet8Xa86dVofM/MGstGJG+P9S7gfGBZ1+2eMey4c0pXgjWkBEKFIIpishjDzc1traTCL20EWw8mCUKiOEM2c732GYlx84JoHO+25owx9KmwLhHrdLNY5hXE1I1dN42+G6sDod7HXdcxz7NOOQ+7xy9Fpwq3TdyIsEzXHeJz6pzonSEWiJUiZo1QzB4r2vu04/mG2D57jHFrFDfxRWu+aZVZNj54KaoD+Pzzb/Nf/utfMk0Tl8sV4wLzckXKC7712UtSittzv+74RCHGzoCwvTZkigjzmni8zqTB0TTXaQuedttFrKjheTsJ3vtNcNEm+HbWYURVYTElaCRoKuWw7rQGnk5pyFqaOOtI66y/s00VlzaZcaz6cBsC1jsVVhijUzMaDCAKsVyv121TaFnAuq7bAnK+kOcFc5jeMS8LeYkk32NYMCWTUwQKLngt7boBFwsxPWKqckcl0oZcZmKGlK+sKZPrpA81GtHvcnNzwziOrNcZVzPdZVm4ubtTeXJMXC6XLbtvI41SDdbHwHD0Vm0LzfuASNFMC60I1NLDqYlKzXJCESSqrDoa2a6lEYgpblh0rBnF9TIrPDItWN9xuc7M06rOX98gDLjdxHe3t0wX5Ziva9yqiraGcL/cRW83cAsAWxPT2idBd0sm6jk33d40blXjOPZ6zUsmdEG9R0ohx1q1Hd6z945EpmRhWWPFqgWcZRxPhH4kuKccZdjnr+kL1SrGLphldx6zReHCkrRpnfLT7Hw4ndQJryZG1lzrhq4G7inqd1zXleHmBc7qiC5nAwYHotxe/f7rE4rec7+KmCuUGAbSMrPmTMlx6x8dqXdt43sefJ3be1PtHjHG7PaepVmSpu1aH1/zMs0KsRR4fHzk5u4l3//ie7z6/CWd99x/+PBk0/1Vxz8LeNtevIosGhdRlW97Nnq80KoCU5s8nnWJ2xcWEXzYFVgb+fpQEuacwe4zndprw276cTypLfA0Vco0TU9knO3ztcfr7lnwrifVOXS2Gs4sEhExhNAzDCcM1yfZREqZZVlIxZJD0RJfNABbqxlkZwOXywW7RqJcOQ0dFFgpdK47YFZqYk7nduyKrGO2jeF0OiExk2OsrnOZaZpY15XT6aRNimVhHMcN02znsTU4dpzWbAuzLeBSqvHJYRE9yZwKmzeFiLpJ1emAeGNpJJxj+XrkwrZNub3uxxokv63juP60MotbwGmJwj/V3Dnii8efHze9j72Xs/bw/LJVhEW0URtjJK11Om9RU54mw1+WhTg/4Kr5/+YkhiF0I2Ho1Qq20rI2E/f6fm1tmJrhFYQsiTY81xSV83r0/2tcWddZWQauDnYN3YYNq3+CIPJBja+M+sE0eKv1c1qjqiVGKSVCZ+iGft8Y7N6Mb+c9pcRynWozWqXPcV60+c5Tn9+P4fHW2m3s0XHDa9SxWCccHxty7XPPy8Sb+ysxFd68ecPLly/5zne+o/TPXHi4v+fVq1ecTl/+WsyeTxRiGPzQY/1CXBN9f0JKhycTV+FxNtyFMzEbSg6UVV2eslNrvmgEW6yyB8Si1Frh1A/kWoJ5O6rXbXYEfwLUiCdFVQyVXLCiRjEtezOwUWmkyGZKU3LBWeX9rknpJ1kc18eVz25uVG4cI5RE58PmkrSuV675SrGZdYr0ww0pZh6v7zQImQwmUsTTd7dabsRCnlfWxysmQXQqW7UYbYC5AETy4rB9xvqFTMatqtpzRrABCJkwOozzuFPArIIQycHjexWQ5Gz4ne//Ef/553+BK5nQnxjDyLrMGvRjUpMQEpe80A93FJ/pxwFnewqJnNXsvht6ghmw1rKkSE7UG3dQr19jiMXivD7Gh4Ct2UEqScn3RnTgKgVIas5UFUmKXRiWaeX//au/oust3Ri4imUNJ67zQs4z3TdIiKEURsc0TYxbA1IzscvlsjEhjonBx44jW+A5xnsM0FuFaC3eBbzvanmccHVQasqZ8easFqRJFWY5F9aYWJfIMl3qdJhl84vw3iu/tjZjc9rx3GPjq2Waptg69TpRSkSqtwdFmULFWGJcma9X5jjhvAbbrle3v6EfagIhiKx10zFbcDXGgNXNt41xH8dxE5F0XUdMF2D3Qs55T7LUClbxaaXB6maiQ3mr9mBNT5KGj23sbeOPcW/8H4NzZJclNyy+Pabh/2/fvmWeZ779rd/lq6++4osvviCmyDDulfOvtdZ+rUdtX0ZB73MvmJiqLtzVoLAyrZEwTXhrWPq+UqkqA4FMCCfFD+vO4iuOdDxROedNzquP22WMjYD+sSyiMR9gX9AhBPVnLYVU5ElG/Xi90vf9dvGXZdGOrNHMc1kvlALrmonpCqLlZz8EhmEALM4pET4lvSGX68y8RBBhul82r9xTGLFVjbZIxiWv/sc2YvJQcWWLGMfpdCYVx2pq42SeCSUoxegCd3c3WGO5O5/wFlLUzNeNoyrSUsQWDYApFm5ubkhrpOtGjMDDw4Oa9hh1c6OoGjHlTO8DxmjjpsEVXadDIZtKKtXMoGUzbeF2Ieg5rBpuzSD0OUuKzHHlb/7mb7H9GVMgVoOjNetwxs2s4BtwNNXTRm8sigfHJGSTuZ9WYrEY2xFjxoUd9z3CD08qrbqOjRTKwcDKGENJsSomLZ1zmCykolL7NAun05lMj/MD0/WR3un8t7TOmLhi8oyXSF5U7h+LwYQRYyxdP2BNIc4XTF51RmNKOsfNOmSwRJu5f5zxdlbYqZk1RYXORBZSWvGlI84XiBOyXpFgsaeAMQpPrRTGU0/XaV/kH//xqhL07jNiEYINSHKk5nRowVBwttAFw7JOFGNrQ06FEyXXUVii2XhJCxid/db3gXmelfeb97FJR+P847HBP+i6D86z5Hmvvq3bGRt5RaRgbEJYMTaDKYzDmfWrR7xXmqDzhWW9ME8jL1/eYSQi0bJM81YR/qrjkyEISZnhxYlUJlVqOVeNxQ1LXFlLhzGeWFP6xYEfuxpQhRCezndrJ2UTTmTZSgKpJ71NsGgNthYAjt3lJ+WC5K3hsMY6+XizVXT4MeBqhtBKkDbm+wiHXK8L3o0Y47hOuxgCUbzIurTtxDlHljURBUQs0VmM07JssdDXz26LENeImMhoCmtlM5S+ww6GNVtcd+I6rWrQ8uFCLCunc6c+xTHWUd4Dw9BhvcF4R6yNi0a3U59aZTqsKWEEro8XTjdnpGSdslCrh8vloptc12GtwwExt9Evdf5bqJTCrOWy5LJNJgGYs87Ka3BEjJE1F/WIb8E7CwFLKSiRPxUeHh9ZU6R8IiHnN3lswbFlifXf07pifdgaLMuyKHYZfllZdcx8jTGqkvw1Dg3eGgPnNXIab+i6jrUY9ZrtPCVFlmUix4WcVtZ1QXJWQU3l3Mac9bElK5d41iBqzYozHms8vuuwMcGkSZDzBlP2+9NIVggtT6zrzMMCl8sHlY4TuX3xAtaFJAbv1GclSPNbMYzjyOvXr8l9xAxCXiOxzOSiFD+95y3TtNQM2WFM2TY+EamCDPVpUeXd/jvY48eGvR8auu0+3lWDZmu8Oee2PknL0DfmSM161V53nzcZo9oCPDw8MI7KftARUXrOlkW/x/VRG/e/zvFpTTjTLOZutjd0vSPUQKnj1BUvFaOj3Fe3cnsedDdPCW8bKduQUyHFmT60rJLNbanhWO2Y53nj8D6nlDQMdHeh2iWeoLQQiQd6nNER9Uo3m2juX8F6lrgQ55U5aQk1x3mzeXz79i3f+vYrmmF2XCbdLZfEmoRpTiQsUQQTBrwbKBgepwuLifSdp6RKMy4gMlOSTpIIAvQZl2Gwgf/wH/8D949Xhrc/5w/+8Pf49u+8YnH3pJsT66AWhdZCkcTL2zsKwhJXZKmDL1PEJsP9/aM2POq4F+ecUou8oy8K1czXhfF80vMfenzwrMvaZHpVabR7tB4zuyO/svNBndratUiZJSViUljidL6j+IEpGx6uE8tauM6zzsP75iTA28069D05WrzXyuJ6vdINOuh0XhdO/Qlr9qZmK+uPEMOxGfOcDvWcFrU36TIFs63rUgp934EkfDBcl5k1XgnO4qwjroklJsbzLQVhnSLdMGqAEyEtMymtrJKRBA7BmUIoBuuBmNXZbqkDNHF1wyiUvLLGK/P8SJ4y03ShkHGdJ5UMcWUthS4AwWAXo1QxAze3Z378o3/g3n7gZrwhZqGE2lw3Ges0GA7DUCE6sHlW+b6eEE1apJAaXPMsuB4bdMeG55EZ1fjbreEpovTX53BMC+Tt560ybrjzuq6si1bW796944svfhdjDJerBuRpuuCcY57njVHxdccnS5GnaeLDhw+8vLlhebgqcI/qwNe8skQtLZcYCd6RslJ4KJmShEWWzachVN5raxjpRAxVYR0XaBNU6Aj28ITK07jGrblkjFo87v4P6kdgQ1edjRRrFGOgcoeXSSk3aVn191Vogngyyr8tBcXmcDw8XNScxWVyLNqQSoaYDI8p88Of/JTHeaE3jlevXvH73/02mcy8RLoABodgKElY14TvAuu8QJgZ7uCv/vK/8X/+7/8HHz488rsCnYE8X3j16gWn4EjAmw8f6Ou8vXWeMUEngeCszupLkOeV6+NEsI6LZIZh4Pr4SAgqDc3xMDiw1OwZCyXT+44khWWeybmAUSZJ84torBTJufJ/hSlO+OoQhzk0U6swp+BJ2bCUSC5CLEKmKirll0vG39ahogcl2Ecs3sPj9apz7Izny69e8/79Pa9efI4L/qM32rERfZSkt5997NjXfBsRpDalpRTi9MA0X7gZTxgynTekOCM5YWwmDH0dzgpizU6pKo5lmSg5k0whp4wrOslYisFlUTjCJDArxrg6qFUDac6Jebrncn0gz4lUFF4gZ5aYWCq/OA/a5xEy3u5GWSlH3r15zbdffgs3OChJG4LZkFc1jPKoR3WLBZILzgek0kFzjtqQps4QPzTX2nOODfjjuW8/24yKRDYM//jco0p0miZySdu1a49tAfmnP/0pL1++5Msvv+TFixfbpO+WoLT49i/PgjA8wVrD0DPNKwRP7x2SLNd5wjkD9sSask5Lfnyk8w5jAzoaO2OtVCtGDYYGxzJH7Ogp25C+6gpWcaAjlecIRxxPZM5qsrO7pOXtIrRM7Xx7g3GedV5YZmU2SBKmi/ISc0zkkOm6gcu6skblM97d3bEsC2/evNGNQDIlZkr2PEyRH//iLX/9k5/x4zdveJgStw6+/dkr8jLz8tzz+YsbTKZ6+XqkRG7CgMHRdwNd1/HVz3/G3//N39CVwrfOZ77lC2+//IrBCaNzvCuJu5e3ZAO+D3TiyVKQ4OhOJ4IU1phxHqZ5rf7I6g4VamUgdcqtrd69zoWtwnC1uSNONp+ONgq8QRVH9dJ2LZZFf2cdGc1QYtYbdo66sRlbHe/WRC7qLpdyFXf+miX6b+pQLqmrBlIeaE2eE0u8cp3V6cp7NYO5f3ggpaSzD+3epGvZc3vNjX1yyI6PlURLMI5NoFKd51LOjMO5VppwM44s6xVnoMiKtYVpnigxkbIa/ueY8b7TDT5nYlxJlZPf+8D945UUhXC6xRohBIWorLGUrE5qGVsHiyZKXmuJHkEKvt6Pp9sb8prxnfpzp7yyLhZDD14DbVojXeUuXy4P9H2vVVspxDzV5MlwEeU52wptQW2U1SBY6oCBUgpFdjZJu6fbv48Mm5zVNjSEwOPjo2LFB/71EcaIMW5B9MisOmbQLXZM06RTUYaBy+WBaZqY5om3b9/y4sWt3kfduL1f+Zok+JMz4KODk7V+m+Za0InGgpqLtC9ZinYm++B1cu5HZqi1NP85dUc7ic0gxj7Bco6dyYbl7kq2XUbZTmIjjjfqy7Is+KBuRtYYPrx9h4gC80Ygk5jnhb4/4YPj7Zv3DP2J9/OF+/t7bm5uMDlRIuSY+XA/83c//Ef+7qdfEYOH0HN7usG5wD/8w0/gu59z7hzFBEzWuRht5uG6RoaxRyi8f/eGf/OD7/P2579gmVbuYuYHMX1xOAAAIABJREFU3/suhsj1/oHOFeIY6G9OGKvNiFM3sjqFPmJOuC6Q58gwjOqKVQqkotM0gNJ7fCn4sEtKp+uk50sqDSgmYk6UeWaJiXPxOgdrmljr2Klj2aYVw35TCLW7Xp293r59qzJrF7jOVx6WSLLVdc2gFqS/xeNIRxzHka5L27/jIsSYOd+9wLjAskSsdehIKQGeMh2OXfX271Jkg9TammxJwxGyaBuicZ7bFzesi2Zd/VDl9TGRUmS6PuoAhNrbKFisCwwukDHEqhglx22gapkWZJ1wxVLiBM4QVyrTBShZ1WsU9fGo3ykuGuQlJlUGYpgvM6HvMcGyTBNGCvOaiZMmYDsEo57K95dHXn7+LWwGEfVhWZcFySjDwkecC8QS6ZxHRKdYqOF6wrumwTso7Z5t2sfETNlM6xNBROP15hS3ANt43a3vdMSKj697c3NDCD3Xy8w4jrx584bL5cLnn38OsG3MMUbevn63VfVf11v+ZEN20Cx4XVdMaMo0XYS6kC3GqetVHzxFWmCspjM8XaRHTuW2w3S7OEC2Hc88efxR2aabgd2aacdgbOoE38fHx8342lCYl4WBnYrivWbEzfaRbjd0ds7x2Wef8XB94O7uBfNyYVkWTJ3+mqLh4f7C0J/57hcdX16u9Ld3/O7tLbfngcFnBpsxpY6VKYW4ZOIyM55P6iNR52N9+/PPOA0n/vR/+Hf85B9+zDkZvve97zFfPjCMgfO5x9ZrEMaBUMCGQELtA4MBdxO4n98xjiPLRWGiJLrg5mVhPKmbfzd2Sv2pvMy+KttijHWib+Vq1s92vV43BVEr+bYs2DT/We32rzGqGZMxTNPEu/fvEdGpCOu6cr1O2PGkweeQbfx2jgOvvWb4p1OHd451Fh6nK9arKfrtixNgiUUzomTKZjp0DMDwlIbWhm0es7R2szfWTqNwhaBMHOt1/pxzjsfLe0quZXTlp+ecqtUoON8pFGj9Nib9GtfqcZJZY2S9PPK3f/lX/PSnP+eL732fP/vz/xU7jmolECOuNHWprY6HGcmVM24FyYn/5z/+J3749z9mGM/8z3/27/n+738P1zniMiNlPVDNFApxwTOMligRnN7HouJKSmn9AoPPdTSZ7xC7+xBbq3Mlt83e7Jt827yO59y5fSryuq5bz6hVyfM84+zeu2i/b6+1wWaHxp61tqreNEm5v7/nJz/5CVB49erVDqkGrRJFpGb7X99Y/mQWREaIq2U0AzEmyJG1FJY8EoJKBx/uHxluRgiauSYjPOaIA4KBUNVZa4qkNRKsUyct58iod0IqbcKsw4VOd+kMXTdiXVUW1ZHwQ6WSBe8payTGvE8pMGUjrfehx4pFMtx/eEcZRuaHC5JLVeKo7V42GVkdXRfwnU4dmKaZviuYFZYiLMuKjTpGfkmZ7hT4vfEVny0r333sGMcz3xlfEIYO1zuSJFarwyxzmXG+4LuO/qbn9vbMcOpq9nWm78+M/13H97/4Lp7Cep3wo2YmYejoB0ewlmAEc2u1obFEzt0JEUNMgnl1izGO02C5/OId8TrTYfAilKXOxwqBRRYSlcweo+LRywSrCg5KLbdSvND5E10XuL9ccGFEhGqjafC5kIphdV11m3vAFcElw+Ux8u7tzHjb85jh9bTwZoWbYQROjLZwLuOnLsXfyGGt5fb2FmtnmvDicrnQ9eOWLS0x8eWXX/IH3/sB7uwR754kEh/LgDH7dJUjB3f7fT0aXtkNej7u7+81U6sddm910ktwnrRqhehdAKcqy67rWKPeS9NVsWBXsfzpzWs+/OLn/OLHP+Lxw3u++OK7fOf3vk80RucbpoZdlsqmsMyzsmrefPWav/2v/40f/vBHXOfIdVr42c++5E///E/5d//jH3N7d0KSqb0VISpaqwZCdycwHvEWlz2YwhrnGhizBmWolFFNqAxtaviuHDRFyGZXET4/h7rRpScin2ZDcMxuW4BtgfwYoFsmfAzQIipBf/PmDa+/estXX33F3d0doU7maclDYyABW8L3dccnY8DtgxardoTe+CcQQmE3s2gL6kjtMtZo2ZnzrqLK+zic5+l/e43NbDpGgtl3vmPJoFLng4E6bNnb2O1NOOe7JxZ0OZetgee9x+WkbmVV5bO9b/IUm7dJwyXFrbQ8BU82DheU+B6GnmHQEeY4bbypsU/V/DcLS1FbkpwSUWTzwTifz4zjGZMj79JKijq4NAw9Lij1TEeWKxf12LR0rmXvezMkt0zBtPMjsCx0Y1d5wgoppFXHrdiKacYYefHiBTmv20JNKWG91CymBR1dIKbs0tZ2HWOMTBUjLnGfFC0otq8Y328PgjC18BYDq830QyBNVzKBt5cZ405cF8H6E9PqePf+kWF84HFeON8msqkThUU51dZo1layVgbeKb0KdjVXu1bHf2sjKqvTnhHS9YFQ/XDPNhCtsKQJkZk1QyZjbKDvBkK42yo852dKUpPyIo41ZS4LPDrP+fu/x7/9ne9greUxr9zMV21+W8uSlNfunUEsxCXSefjZj3/E3/5/f4W9PPDHX3yLaYn85B9/yvuvfszf/Kcr/vrAn/77P8eEzHg+8TivhGFkyYZX3/ldhvEWKYZxuGO5XLDWEHyvjSurfHdqAiZh2kYzxbyb4m+blrANF0BAst5/TR6dS9zW3Yaxi64xERVpLbXRTlHu77rOxLRQcmaeLhQxUIwaAkVtEi9LJGH+f+be7Ne2LDvz+s1uNbs5ze0iIjOyM8YuSkYgoCyLB4qnEvyVvIBUEs8gxAuoeMBSlaiSAduU0+nMjIyIG7c5zW5WNzsexlxrr3MjMtNhOR1eoaN7455u79WMOeY3vobD0DP6RFaBKU5sr1uUVRjneP/+kYf7nv1VxWa3xce/51BO+OZ01xm8DvPQoRIOpRinR+gnXN0yDh7XSmc6eI/OomCrqpphGKgi1O5i4zZ3C+sLMI4jGUsqU9HKibTXlVBOay1G6QWPsVW9DJBmuAI1UVm3yCinDKfjkZQztnKCdcokBFvJRayTwyjJnErTyKgVU06kYUArJKfOWNq2Yb9tMc6xLXhzTImYFUPv6buR7D21ddTGcXo80J2PNJua3fWOmBrG0GNsg6kdoR9odhvajfCarc7UtcE2jpgDoMk5ULmGUB5max2bbYOfIv4wSjG1YoIdUiSEhMUShgEfI66uIKZCyROLQVMWg5mqV9cbxnHk2Hc0210xLZJBj1KSFJuVmBvF5LHGEP1EzIakxTf5dDxyHKIIRRScjg/kFEhMC+TxXR/zPVZby6mb6PseFROj92iTyVroUo+PjzwcHnn+/PYJJWrdBS+DIpCh8wdDooUhscKf55nIOI5F4uukE/MenzwxevGUThGyDK9noyCAmPzy++ESyqmUYrPZ8umnzQI1CcyXAVGWxjRnzAm8kVPi8eHMOHrazYarzV5MdCahnmHf02x3ZAVj8BinGCYvBX868PyT77Pb7ajqTRkmTmy3W87nowgsDMIrN8JIWlgQ+alz29zErSGd+T1+KPGeXes+HNCtoYX5vMxqvDm158KMSOQUJcE5JVQJXQ0+Mo6+0Mw0VV0Mq3TmcDjx/v179rsbnj274v78/jeqJOfjWxfg2ZO0IeNzYMoykAlDYLIamyIhSpqEMhpnZeB0Op2omprRJ1yaqTuisJqj7UOKqJlKtsJlZrxMay2xLYXZEH1gjLLiaavxXjAxrUtelHMMky+Y5oUaMowjIU7YdrO4HLkV5zJrhanFls8nT+3EZk5HQ+M21NaQfOB0HDicHT4EtNVMKWKspa1EYWf0zJm1xGggBkxuSKFm6gdOh0eil4esbSybqsIohTKAy+CgVjW2FmNqjaKpBI8TPwzJwxriRFXJwyQ0vIvXxm63Q1WJoXZM556hL6ILpfBTZBoDMadFFmoqR23Msljd7nY8Pj7ifca4auE5GlcsPUvhCHECJcUiFyw4xkjC4FOi9wGFYywYf+zPTEkil4xR+OR/w133D3dIodoQ+kf6vnRjSqw8FYEqZ7R19MPIw/2B86sz26srgOWBj6oErZZDYp4uzcs3DXrgsptbM41mWtOUehFGEBdRkTY1zrUYXcnWXM+eLGHZOs87RWstdXW1PFdd11FXzfKc9H0PXAqVCG3Ap0y72fH85StUNxSYbMMPf7+mvXnG9fU1Lz/+BNvWVI3heD5xHEemlPnE1bRty2a7RyvBeMfz6cIYiTBFj87FLIpI9vlJ07UuwB9ivush8Pz5Gfddf+/8+Qs176md7WwUND8zsciw1zu4GC52tdvtFkjs9lv6fuT6+pr379+TouT6XU/NggX/tuPvZMbjnMORGYcJY2f6TSAqUYI1VhcsyCzmLk0j5japFCoA7Sr85FFZwg4pJ2lexWZlyTAMbLfby4VY8GG9KIy6k5CgZ27vXFibzRYQI5xxHIVCs90zeYmdV/nyqIQUSQr2mx2qvngLqwxV5TDOkULEAMk56nbLftrTDaMQ4EMgMfOLwTqNtUYGIyFTG42fBKd9eDgQzw/stlvRsU8Bo8AZhVYJpROmUlhlqLQlE5lpda4yqHLDkRNV1ZQHK5FiJlOc4UzF8+e3DCeZTFur6cZOuMMxEsaR7XaLHydwjkEN2NIJeO+p65r379/z8uVL+iGQEUFMu9tDYaLo+SZPoezq5Cafs74Scr29UiRTo6qWf/Zf/BH/0//2v6PChGsdfgiEfyQFeH74v3r/nnHKRbFVcX/s8MNI1UZiFv/j12/f8oMffh9KAV7ghIxENpWfN1Ps1t3auslYD+VAiuW8AM7PgTGemEJ5nhQZgzE1xlVo04Aqhk8xIOo3MZYRCC0TisSX4g3cbq4Wb2NhrXhynhh7j9LyHsaxJ0dPUpr99XPUTgZWs33A8+99Stu2RUhheP3uLVlpXn78CdvrG77/g0/ZXN1inKTI1MZIKvrQMfUDvhREHwMqXrDdNdS1XqRm74dv3GXEC/S17nznf18X4rjChNcc4flcXL724o4mzKtM8Im+PwPw4x//mKoWmtvxOA/fxAuiL57cv+341gV4LmzoYlyRkijNkuFxGKjamqg0Y4jELO07SgnZPgRC1pgie5ITLPEepsAXEmh5yXGbt1CmdGWiDhJpcWUEpw2TJ4aE0ZboI10QSGS+mNM0MYV4kem6CYXEvwvvVcB2jKata0kC1pm6qsRacRjRRkuxzqCsEkZDVmyaDaYWKXBd3mPMZQqsJF/KKk3Ttjg03gQRH8SWVCGxPlphnSEMPbHW6NpglcWohHWqbDk1SUWsclDCIHVIzKo/WYzkYe7HoTzcIi/VVmEaC9HSXO/w3UTMCVs3qHzxzdg0LT6K01R9Wy/TXwl4VGI2MqsRjaRNz+wxY5Vs07UMObNSoMDHxMPpzOt37/nLLztefO9j/vm/+Bf8j//L/4qxglNrLZLU7/KIMaMLfer+/r6Ie2rSlPj5L3/F23cPBWZqqNuG06njzfs7XL1ZCueToRsXObJSihD817aka+XV7FA3n/P5GZjd+6omE0pnq3TFdnsF2tA0G8iabCQxGCWcXFh7FDts4/DTpZhorTFa4L7KVaRaEXpfqG5zkoxDu5r93pSQzMtgKoSAaUQ27XOiHyaqdsfV7Q03L56z3e1x7UZoqiFIFiIaRQBE9ZqJDMMcMyYP15oXPXe7ayhyLohrDvVcH2KUn9M0zTKXWjdjF2rcpSOe2RTGmAWCC3FaBEbzopCS/Nzb2+ec+4nz+cybN2+kOekmTkcxQ9put6C+2bPmm45vXYBnNcimbeRi5Mhms0FXBn8OjMFSeU90RhQ2ZJwq240xwLYmLwMhRW0lKSMkccCvarPYwq3t6lJKC13KKV1krlF8cpEuViuFTwlt1eJKvxgpx0vKQ84ZPwwMXU9TbCqFXF2RKN4URZOfc6ZypjgxSTFzRTY5Ben4bGtpXUs/jXi/iiDHQMpU2lBZjdtUTJNALVq3pNQynk8oragqC0mm3IQJlSrS1BO1JA5gwWCIKRBCRKWEKYop5+QyhtUW1hhdYIAgsmUri1VVVdynO/oo271Iwiglnr7+4paVfMC1G3LT8P79e6p2R7PZkihycS6DT6EeiS+GNjUo2TWELGKCh9OZL9684ed3npsf/5jnn3yPbBS76xuUUrw/vV+kqN/Vsd5u3t3d4ZQqrm4V7WZLVg8o4/jqzVt8ilitBM/sBsKmWgqC4OGSQrFgvkot99J8zEnRa0XnepA6T9Dn4eg09aSYcdWGqtqQlaZy9bJz0PninTIX3/lPraV5sJV5UoAp2KbMCAxWO5KLi9Bm9muY1ac+jBAjSY8YY1HxEg9/ZWUBb692tLs9VdtIerS2oiDNxWjLWSrJASPliZQqgpEiDE/tPdfUxPXrXv/7ehcxfyz2rflirj4//yGExS1u5gHP4pD5GmhddIvFFyMXm9k3b97x8Hji/v6ely9fMo6ecYz0/UjbbhfGhbG5WAX8DmhoINvQXDw7Xe3KDWNod1vCMDIaTUYxBi+BemYO4BNjkGrlyh/JS76bj7J6zxDEjOWst27ee1S+4MPzRZi3zSEEYRXM6iIjJyUX5sTafX+e8uecqZsGY0VVhlboFHHK4lMqogJdMu8uahxVVRANKQSxlnTiaAZGLmp0EgTqA03lMFoz2JFhGtF1RaYm49Gr7ZMtPEmniz9CklijoC7DiRACLos5y8x9nm82pS7x21prTE4Mw0goCcreR+q2lTio6YwfRqIR9dfQdRjnRIJbJJlJPSW4n/sCQei5m5u1+cVnNiQoMeApi9R49qk4+MxX9wf+z3/zb0nlGqYoScApfLdCjPn4cHAzTiPdMII21O2Gu8MdKDC1SNLvHu758fP9E1hhPSi6/KwLBQpYCu/cBa9FGuumY94WRyBFReNqlLEoZVAGGcaptIgmLgXsA8GTUgsHX+6POdFZ6Nrz3CRGt/xe8fC1aOvIUKKkREGpdUQVD9zKinjF1S2uasBoMlrMl0pxoySwkIrPLgXuqSx5mjm34lWx3lGsRSrrYw1DzOdNWFb6a+fwQ6hCPv/16758LfPfIzlz2U0j1+zm9poYIzc3z8lJ8avPvuDm9opnz67YbGtOp4e/VfcLfxc3tKyoq5apFNLKWvZoGm2prm55GN9jI4QpExvDQKK2Fq0SG1uRJjHIkYSHDIYFoqjqGqUt/TBijKJBjEOsMTCWrYLKeK2xWgqVgeJNoElZ8K2mKOEAUkiopHAzV3MKeN+X6HcZIo1+QqlIbaBytVyEIMGZes2uyLl01MLASHXEtIYUFUOIRA/KOJx2pBCom7INMZRo+IBWCVO6zq3bEMIDcYpgNSZVpBGy9yg9sN1vGayEoOrZ3CNlKq2XSXZSmUCWxVpZ0IqsaqLRjCGQjIHKEYaBTMJUNdcvHGG/4V5l+uOBGDTNbs/5eKJRmWN/ZHO959yPoBW3z58xjZ77xwP1dlOKTUASPArulhtSziQTUVoR4iRb0zHJ9l5b6k3i2D/y3/8P/x2V05weH7jaXbPdNFy6tu/2mLejrWt5OPR03cjh1HFzc0M2DqUvJvP9OHD/eFwoj+tikNSlkIhQ45uTeudjXXTWbIl5N6iM2L4abTG6LoVZmBlJxZVEV0x0YKYiPrVhXWPP82tYY6hzwXPOoY0VT+hUdj1aYpAcYHVT+iopwHVdY5stddOgKot2ltkUPhSWlKYkaaeEsUpEUYqyeERSkiZnfS7Wne+6A17jxGtrVL+SE39T4Z074Pm8SENz8XeOsQQ4ru7HpfFTCrJARM9unxNC4HwaUcoI9bSY6LdtS86/Azc0gKapGKaebbV98iJ1BpWLRDjlcsOV1d1qSS1VYkkpbzaD1vSTYFy6FEhb8MzlhCvNMPRQoukrazCNwB8GYVpYa/GjkORJ+Qmnd8aNn0xBc2aaLraN19fXy/uYjTqcli0olIdDiXy5aRrsklYg6raUNTYnUeEYUCFRVU6GYoXb6cOIjuKvUBuZQj8MGWWgai2aLM5rvnQ2asMwdPj6wt6IMYIR7b3KAWUUxPJQA1oldLZSaLE4K+/7MInZdcoRnyYp+Mj2NjiHtorD4cD1/go/jGz2O5Fq58x2vytSTYGacunAZZOmlxgaRRY/ARK5cKPzQnWSh2q73VPZmi/evuVqt+f0eFg0+9+tEu5yzLBA2zre358WLLFpNvT+QvGapkCOYk247rRAFKOZFUVK62/suObftx7WrIvyXICkWJbdXqFPZlUoXHYOTp2/6en2/PIJUablYiGa5212ecWzpQBcFqE1V95aiy8iB4yRGHiVC1RhhT5ant35zeZcdrfzoqMuggdUJquymK3gl6/vHC5ucmuoAXjS3X7TuZuPtfDiQkW7CDw+7LjzbDtbdpPrXbNSaiEECMTZP8GTcwzsds3XruuvO751AfYxEIKRQMLVMyMrWKGKqMuWNauE1lKcpWAXIJynE0u0iB20eWotN9/IeVGsXOCMpORGccYSlF8oUKSva/Pn4cFCa/NpWenn4lbV1bLdyME/ufjASh59CSfMmcXpShXsMyqJZs9KiO3aKJzWWKOIkwckAaP3A1mJv66hwBzRY7TEPIFgzJKfJWo6UnFoUvJQqKRkoZu5HCpJonJRGAXvZbdhJLBRXr9QjJTRjF6KZPCe4/HIdrstBaehahoSmfvDI9t6Jzhg6VB01szidFmgJLNufqrn8zZvd41R/LP/9I/5xS/+hhQywzCtkh/GZVfxXR1zJF2YIllZQrbYzRX9IZHShHUV07knpZnWJRL8YQz0Y2S/bwg5UVsNStgwUSWysjg970womYMXbinIsBa1KiZ5Vs9ZXFUwYqWpGovGk5MUU601wvW31Al8ipC1LPRZEXUmpJGsNIGEyk5+TxJxgdMKpcV43ZLwSnILBdNfd8ry0VhFMrYk2ShMVZJnnGWyFlNXxMotXPwUIzZFKi0OelonQvAopEkzSkZy4uVSizjLyLlYFuScIUFMmYhIqtd2qBmW/EnZbaYLN73IxbPKZC3eEsrmhW0VS/6cygGDsB5MzkRtySqSlCfrjM5qkUAnJebzyhmC0nz+9g3tdsP182syAZUHkmuo2oo0dktAwa87vvXoue/PguqV7lHreVXLjIOnrsXbUwZ0JTxQ5+Iof8HXgGVgNEeizFrtGc+dpZ8zA2IeDsQoIYHTNDH2A+/evaM7nQXRWHVc4zhyOp2e5DvNtLZ5VZ+J7/P7maPZ59V2XsmmaVq2GDkLPYloIOpCS9ZAIikPJhKVJ6qAspmqtbSbitppTI6E/kyeBupa4UxCEYhhQBMhTlQmY8lUJmN8QHlP9BM6RWKYRM6M4MJJUbqXNIuDyqKnaZqKuna07fbJkKiuWqp2w2a/wzjL69evMc7RjxePVFNW/b7v2e/3T5IGLl3ZxSkqZQ/kcu6E1TD/zrp23N7e8F//V/8coyzbzZ6xk61bLrBOu6m/7a34OznmotP3/bJwy5Yy8/Dw8DXXtsPhsHzf/Od62v4hDvnhB1xggPXH+t8AlM7LQExrvvZzZq+PZdhc6KHOXQpixgs+ryNWgUQOFew1Z2mckA8x5slItY+QI9o4nKtxTYutG1z5MK7GuHp5Rs0Hu9j1e1y/r5m9ADz5/w+73N/08eG1W3/uKaUsXcx4Zplx+dOny/zoQ1OoZVa1YltobSRMduUzsd1umSYx6mnqzVI7fluJ/ZZmPIn9fku9aTl3HburLRhDKF2tV4ZsDH13RpO5vdoWhZOYaKgCyEei4JpKiftY6UQJgZjCgrtePtLC9xXuqWC30Qd8mujP3cJ6CNOEa6vl4ocQuL+/Z7PZLCd0mibqqpXt+eHA7fNnqAIxzDdEyNIpOC0radMKxmlLlxzJKOeEsE3h4KYAuSTUhiDJzAmC9wwpUCtDZSyjj8RhIo1xUQOanNlVIgltk0EfB2xds3cGTxKivdFEJdPqECUKCdOQ50GZkm4qG4NXwgceUsLp2eLQ0LQbwjBItp5x3D5/Qdd1dF3HbYFiREYZmYKXpA0uSQ2urgTrTXNgqZxnnzzGCCtDRDVFhMJE01bc3O64e/eal89vOTw8cL275nQ8CsapLgyX7/qQhavh/u09U5IMuI1r6bqOaRLloV5hq6fTaXnAVQmlVUrwznWxWQ+T1+yH+Zij2NeL/npgJwXAk1LJb3vyqpUUDq0KDFSeG62WyXzOGVV+ti4QiV7BAgIVRKFbKsr7C2htl2Fd1uJ46ObNVim0trq4DM5NjSrsmNmGU97LKrliFq3ESwKy1pqQL7ayv26Q9U2ww/Kn+jocsU68WIqyuliIxiAYrynXJZKfLKTzQgYlPabQJ0NIeD9xfX3F+XykLYyqaRKbUsXfsxJOoVDK8OrVK959+SWHccS4isYYCJFHHxiHM76fSDlzGj3buiYrcNpSOcU0li6Jp5jPNE3LZDSltNw4SmdyCthKhk5Ki1PUcoJKHH1lLaFgvxfidFzwm3mYMdNr5pt7u90uC4BPlw59/vyaiTH/7MXXwipSgRisdqQIeUrYKVGhCeeRxjoqHHoM2BQFH57gZbVHRY3OiBmQgl2saG3DeD9i7UTOI9lp6roiG6GvoaHaKxlcGUunihl3RlgOMYkMPEPvI/00sVOWyjqC1ngP2jpCmkgKXF1zc3PD559/vixibd5gnEVnA9lwPB55tn+2bHuX/TqrKbuRB3buarW2pDhS147dvqWqLP/vn/1rchh58exWtPXecz6LtHZ+cL7rQynF4+Nj4eBKCobbWIZxkiKUi9w1ig/IPDP4WgHWc4GdO7+vY70f/v/6Y413Ch4r9573IzlbkpJedT58lGGUmP7MC9qlA02p4MUrj+esuRjrZ8lVU/qSOpFilM+rCo3C2gq7YjDpAlcoI6ELxlxCSlU5l/PzI7shLfFJqwL64fuXcyewlbAm8pPFZs4ZXC9U8/eD+GPMz+56xzZfW71aEGISu0u2EAHKAAAgAElEQVQUtG1LjJLeMrO2Lj/7cr2stRyOPVc31zwcjkVtuqGqLTGOZGs5nwaG3qPU37sUWdF1A8+ev+J0PPOXP/sp0SicacBnRmOwZDaVZWtrxqyYAkUBp9BUGDOrUygGPGXrtthZqkWatnQWrAB3VbDHnInF9UmVFVRWebF7nC/AIjX+hiSNueB47zkcDtSbdrFnVKZcKER9ZpU49GsrvgZSkIW7rKYMfpIiO0VszIznHjNGunHi7nAij54qK642Euc0pUTuPPvtjto5GAOn7o4OhdWaqfCtdVPRbjeoyor3rNUcSGhnaXdbuG3x1qCbBvfihqau8E0iG41pLG27wwy53AylA7IGnayY4DhH1Yjh0MPDg2whz2d2V3uaTUvrLMfuXDrgS5zUh4fWkOaiosyilAsR2rbmxctbrj76lDdf3fPv//0vwcqNG8LE47HH2eprP/Mf+shcAjWDD0tcDlC6SKAUFWskuuf+/n75Hpgpe5dElhkSi/FSZNZBtEshWhWk9b9fCjEolYoUWZFURBXrxRjE5MpHWQC10TgcoEWgZIwUGD+J3L9wcklGvidlptFLjNg0obVACTmVQmpFWm2MoSrP0Xx99WzOnzKURWLu0GOM6LnbzUKNm7t/WLFE0sXwfG7MZohrTqaYz8vctK0XljXkk7gwPtbN0hoOGst8p7KWpJMspvmivJuvxHztQrj8zBACwWe0csUVbUdVF8WrqZCQXmH+pJT5bUEv37oDPh96fu8nf0AMmX/3059ymAI5n6iUYcBgleKj3ZZeKR66gRebmqycEMVDCcgLcTk5ukzRWW2H5ptxWeHypQCn+dkv9Ke5+Ar/VyaXM+Y7c2Znh7E1RuSUXS5cypeOeZYr17Z6cuEWvnBxRwOovSf5QBU18TiSHgfSoaO7OxG7gfsv7vHDyLZpycOEczUnHgRPbmoaV3E/vYeUhdcbFbWx9OXh3W02nP0DgzvReXld2lmqTUu723IK72g/uSZoqG9v0JOh2u9hD3rbolzFmCPWKsSMLROyJowJpYx4QATPs2fP6E5nPvvss+W8ze9ZkWnbltRHDAKt2Lr52mhBG4S4Pg9GvOxM/HCmrh0fffSSl//ZH/DTn37Bz/7652QropDdbse5P/3a7eY/5KG4SGGbpuHzN3dst1uGY19EKmUYFCO77Y6hPy/5XzFGGc58gAXDqpH4NVN++d1fn+DHGKnLtjbGQFYX0UuILM+ONhS+uvTEzhiy1kR/8ZwwKBJ6YSpFnzGVQGRS8FadZobsRX7vXM2m2YjCSytaK02LGFe1y64okcl2JSjJZUFOX4cL1nS49XsNIYgXiha4M+VITAHUKuPtg90XPMWJs76oC9fnd54rrdknEXGvS1lUrfMAMhZpsnNz8IRZngvZ8agSS5aLZiHgvUCPSmm6bsBPMhD9bUSIb4cBp4RzNf/qX/0ffPb5ZwQUFImhDxqqmjAN3B07Hl4f+Pg/+j1iVmhlyEnc/HUZqGkjTmazTdz8Oue/zzQQIes/jZn2o0ANm81mCdccul7UXkpRF3e1+aLMBh1zB7zglkX5pYyY/EwxLJE04zguW455ODevkPNqXWcY+pH+2NN/9YB/e2T66pH4cOZ6s+PFVNENgfR4xmTIyYO1MlQzE2m7YRpGLArjaio0eRq42u2IPpLHAZU9N8/2/ODFRzyejri6Iir48hevsUWWnZ1jPEXev70jtw3ND15x9aPv0VqLImG3DVnL5Fsru5wTrRRd10nO14xtlxvUVtLpJFWimHIPRjN4j6nqrw2jtC4DwNLlWGsZ/bCcc2st1zc7/skf/h7/9v/6c7766kgeRaXXFFrhP4ZDa82rV6843r+Vc1R44TOcFcf4pMjOg+IYI4550ElRv30zxDAX4/nfy1csX7vGHi/0NoF4YiydXZ6ZCgIJqNLEKK1LxBeSvZaFrhmVQmUtpji2wiphsjRtJUU+ZMbwuDBTpCjLfe9sTdu0+HAGHy/JwyajkyweTmuCvsj/VS5jaf/rB5DfNEx7Iogo532OKAMw1j1ZyNbf++tgnfVAbr43c0qEMJGUIqeE1WbZsUyF1/0hTW0e4jm75+H+gNaw2TYCY+Yg7mhZEPmURN7+245v7Qd89COfP74j1paqt+SY8VljmxqrDSFnXEyYyvJ47pieX/PY92x2jUxdjUZbi0ERYsJYGTDoJG18CEkkoEqGPL0XDClby+QHorXy/UoxlqnkNE5EIATp9lQ3QgiEGHBNLQIPo8VDVylCivSHM7p2VJuWFCPTMBCmIq1UpsilRWBRaUMeR6oIugvkU48/n/nyr+7p7h7ov7wnnXq2tkGGNBsqe0uvH5k0nBGKW7vZEbWlGybquuaj3XPuj4+cp5GxrtgYRzj1fPV4wDY1ffKkONH5ibo7MvoRkydq6whOk3IkdJmm0TTWYB56opkYHwM//6svsa9uuP3kFecfPcfsN0w64vsBCkY9DL1YCWZFRHF7e4vKkTSN+KEnGke123E+DUSdqSvL7DcAgnUGVbbaYSN+9kpBFP1bDIrBV3zyo/+YP/roU8yPN3zx2WvqBjQ9tUkMQ8Yoi8rfPQQBF0P2d69/tTy8CzPEGCAujJD5+BBnVE/pt8u/r4vOuvtTSryA57/DRX04Nw6Xbk8GgZi5w4vkrDG1LXlqRaAQZccZpjmSPpCjDGKdMaAdFIHMzdVzPv/8c+Gwq0uTopWFLC6DOfeM41EWhQKjzBiwtqWp2lfLgqsyoNLXwKo1K2EusHPhnBecuGq4jDFLeOwsz14X2jUWLBzeS9jmPHhbL2haa0KhT874usi9nkYdzUIXgSinBX6Yd8Hv7t6K+rdt2Wxbxl4EOWPXcz5f4Iz09wlBzNiftRbrNG/fenyIZO2YssKTZPppFCR4PHcc+4FnriamhHIXe0nmVTQ/3XLpInFdgH4tngbr7cs82JChhBebxqZZxBhOpct2DRnwjX6iahuevXjO+XxG1Q5tDf04kMgY56Dwl3Xl0CphlcalTKMcdoykU086Drz75ZecDkfM+wl/OBOOI3vb4sfINA2kXOLgSTRNw/7qhofjidPdPVf7G7wPjN7z5+8f+MF/8BNMbzj1Peeh51m7ReeE3W0wYaI7eb58uKc9y/TboRniCac0ldM83B9Re4hDQNcOpy05aMYYOPz8NbqPZN+z++QlnfJClTEWlSNWWSpbc+4PUAafOcVF3GKsTLe1dZz7jpSSWFYaQyw3b5yvjQWlVpEuZJSzdA9Hfu+PPuWP/vM/5p0eePflmeurF7xxhzJMFeMYY347af13d4hFodIy6PzZX/+cj158j7/4i1+hPGAtIUMY5F4zSFBkCJ6o4Ow91xE2ypDnIZxB5htKvJJjWaicNniCXKdZ/BASxq4FNRptNDFPEukVClc2A8qQdcZgUCnSaE1lLSprfExEPzH0E9FHxlMHSVHbmjCOqFSDTqhGoZwjeE/lar745ZekKRKxxDGx2TTYjWWaJL4nhEGUnXmDqSxT3xNVpG4quu4ElIgsZ6gbh6ms3EOVQdcK7TTKFGjKVfhxImaFDzL0Ulnul6zAa/mQGLssC01SpDA/0xe5fc4yWFwKOpeFcD1I/7BgU+5T62rhJxe2gioLRy5S+qwNU7Gy7cdA7yPdkOjURE/kujFUzuOHR0iKblR89c7zcAr4BMpGtPnNFfhbZ8JZI1SMpnb8N//tv+DP/p+/4MvXb7DNVuJTciZOEUPk3cOBMX5CslZ8gzNYZEgh2yUZOJFKCmv6Zvzmw/+XVdEvK5IzVl5TVXKYsocsNBxtDHXbYGL1hMsaUrGatEbc/3MixYDOGuMnMIgblE/kY8/7z95w99efw3FkfDgTJs/ebqlzxaZxbG3NeTqjazH0iSmTG4tpGk7DQLu7FjrMLJkOkd3tFXpTkwmc+yO7tuKrh3sa61Aq8zicebm5EiXa4DGt5ewnOt+TjEJ5jTsFkfO2O5TRTCHyN3/5M+59j963bKLlpz/7K/JVTb5qwSmudi3OWOpNRTAKVwtR3jixzYRCZytKJV3w2rW5yHqrp5Qi6jkyXJF0wpcHZnO9p91fwdU1jW9pm2cYtUFRsfgV6Lz8/R/DIdDCyPPnz/jyrseXoQ05M9PsZKAkVKQZhrg86KtmQSnUCuFdD4gWriwKpZ6mmsBTtdzs1qfKziylOUarxO/04kU7jhN+nDAYchRzfpmRyPVNCvppJI4923bH8XhgW7XyO84dKSfcVtPqmqE/0e4aplGon6fpTE09Ww1xPtyz3W6pann+zkPAdEbc94zB1Y6kA84ZXC0FejL6wlVWUFnLMPSMJShz5viLQIIFMjgVSFHky1/33FiYEfqpB8R8rKltSqvS2Y5UzlHULAs7K+ZE4hJHFMJTk/ucI+2m5uXLW8GFR09KGqUqQoh0XbdYff6241sP4XIuWIiGMHk2dU1VVTRNjdY3xdx4II49U4ApBRLi1JXV0xe03GwKrJmTjWfj6qcd7/okhyD0mEUqqT4o2KsLM58EcfDKHI9HicexBkjUbbO4iCUli0wiY5TGKIOKmXAa6N4eOL6+px0Vlde4XJGHKJ63MXPoTiglD0iKYjlZNQ0B6KcJ4xqy0jSbFrvbcXd3h60cr9+84TwNdENPZmJjDdpZ+jCJbjAqKMqj4COdHznnxEQiG8MrrTicjsScqDctMSWurq5QvkJvG47v7wn+xN3DHec6s322J9/elBTmDaatCUakmcLDvAxSQNRVuhSXnLPwh7VetnDL1k8l8UJWeTHwkYVIFatBRQyavpuIMUuhTivhAt8lBvy0+66qii+++BU//OGn3He/4HTuheWRhPMtD2bEOkvbPjUOhzI9L77I8zr1ITaZ8qUAWyPDy3XxnYUDFyYFi9oxZ0ksVkkxTgP96Yx/GJeiY7RDO0VVbYvQSOYa/TigrWG7axl68T+pKsuhe1yu4zgO3N/fczo8MvmBaeyJWfDvVP7LCsZiIeDTxHgeCGHC6hqlDSF4xtFD16GNKlv5kl7uYLvf4+pKBrdlPuALD3pNk5v55rqcs9FPCytlfU4/HGx+2Mh9CBHNXz1/3haedV4RAdZQydy0zX4Q5/OJylk2bQs5Y4xj8oFhGkAprq+vRQn5t5hrfHs7ymLMUdc1X331JZUzfPr9j8kYjuceH2tS2tKdj4yPj7x+d8dPnu3JVi9v3Jc4IlWmi5LAOhPWZ8Plb3aXGoYBHTO28HmVUgt1ZaayhZzQRlM7J+IFsmx1lKIbxCsX6wgp4odRInkyuLoRx9IMymumwfPFX/yM7udvaQ4Be8g0usIlcUAbS3x3jBmtDMM0iaeFEgOWYZJVfUrgu47aOk7DSFU8gN+9e0eymqhF3ng8nLHtlspqHrsTYwz8SnfENFEbTZgGxmkkqEzvI0SN1y2v79/T9GeaTUtd19T7La+uXzIhacifv/mC03DHdN2w2VYc7u54IPPs5TOef/IRPmYqY6BkzE0x0KaErsqCqRU66+Uh3mw2jIVp4upqmShrrZDAXoWrKw7nDp/gV1++pv/TP+XzY+L//nd/xuNDxzRGYrgMmPJv4+v8Ax7j1Eu6RPL88Eff5+7/e8Rag/epdKsKa2vq2pFy4HwWNoRS+2VIq03xyNDCkU0fFAljLyycmCLKyVxTrRavKQassuQsFqjSIBQFYoRzd2LsRsIwYQaDtReqZUqZaRgJKS62rNkCCvww0FROIIa6JuaASjAqIwb5KTAOE23bchw7lNEcw8jtZkNfmB+UcMx0Epy1aWrqSlgDczBmWzdM00BtKoIPdOee7AJp9JjKYVuHdY5kwBRGckYVGGDFQEoSYDuO47IzQ88nC/m+JCyfmMWtMCI7YJAGz3vRAUjwA4vWIIYgu+BlOPr1QeC8uC6GPClS2zlBHKZh4Pr2lrv7t6QEV1dXDJP/XYRyKpq6EuB50zB0Pdut+GBOPlIbi9VamA8YWq25fzxKTpRR6Ea21lrLCh6Tx1qhcQjFUq3a9sugIpTtycz1tUphCothtmJ0zmGUXraDay9hozU5ZOI8PLCGpEWeOaXI+dxjq4qUWPyFu4eBx9dvef0XP6d99DTVnuEsIYLOWmLIjMjWJPlAKiYoVskWJYTAOYkzUwyBfbMhl7w0rw0xjAzBo6xj9AE/JTIBGyf6PnHXnzinkS+cpgqej0PDDsMVsM/wPRrUqBjqhFUwTGeG0AkW50+ooyWkKJ7LMfH73/8U9f0bth8/EwFJzmCgaS0DkbppaK3BqUJvmgcx5mKStF4M1x0d5dopMsweFmWLPZw7/vxP/zWHYeLNYLh7+473794stKC8Wmi/y2Pu6uU+kwj6u7t3fPyjP+TV/Qt+8YvPsNbQ1Fu8j4uPrPeer776iqvtjh98+rHQHp362s8m6yed2Jo7nFKGsrOY06nX3XTOGR9LN2jB+8zY9wzHnhQiNmsad/UEupixeaUyymrB2E2S+9dAfz5JcxAjlZPXNqkAWoZ5IUQGP+CjYKA4y9idi4x/Tvooz2Ix2+pPx4WqZYzC9+II5gtXn5xJo+f+dC6+GBHXNphK7tWqEvhOKUVcdaEzzZQCL8x2tXMHO7OSnpxvWJIu5oHYeq4ku2fxjZi/boZ65gHkzP+dKZkhBLquIwPXNy/Zb7aMQ4e1NW++uuPhcGS7v6FpGk5d/6Qz/3XH3ykTLueMHweUzrSbmso1HM8dfoz4IBs67SpS3jIc7uVNo3DmwssV6sy8/Xy60iw3jrpIMkMIVLW8XKMNGhaMhixxQ7OYKpVhBiWB+XA6UrctOmfuHx+Ka32WoZVzxCmRQiDExBgj9+/v4J3m7WdfcBUraq05HXo2ux3HriNMfoFJYk54hC+rtHg4pBwJOdAlCynhmWDK7KqKiKJKmhA8Rzw5JrroCRqqxtLFnjglth/d8vzZDffjHeFX72iVZRcNH+WK51iu6w2V1by7Mpy6M8ZZTkMvevWcwQcaa5li4NWLG+ynL9Dff87meze4WrqvQ38i6oTBlcGqyEyX7dcM41i77DJs6dzmm3yZQKui9kqZnDJ+nEg+MY2e11+85vO37zhXV3THk1DfwrR4isxqsn8Mx6zAslaDTrx585qu61BKcXV1zdCH5YH1Xh7ex8dHTqdTESa4Ajs8ffgWj4PVYGh5QPNsTpUv3R1CM0MLQ2LuCvt+lG42SvR5jbCCJj0XDrkvFTD5EoujSlaiMvhpIiXF0HUEn9jfXFOZFl05YbgEL7MaLQX0+PjAy08/YZhGGCb0NOGcRaXM+XxcBd0mYtILRJCTZiod47Raj6wTe9UpeIapp3/zFlXgCVM59EYyEmeTrKyK0s5obJZQATWzQgr1LoEksLAaBOdMLAve7GqotcZY2VFII1GUt4VlId9f5NzxAm3M9UcKfaLZNGxLIIXRYnD05t0XjCFRhbRwt2eb0t90fOsCPHeh3gdur/d8/+NP+P4PfsRnn/+KX/70C479gI+JYQqAoa5qGtdQ2WIaXbZ2OYMV9j7GKlQuq5udrd/SqhvOSxLH/OaAJ4oiKNNjrVHmMjDSWsyiwyzAKBd3GCNhSCSt6Lozo59EnhkTd3d3pM8N6RzxXmHHxNgNBJcIOhMt4nQWEyFHog7IbCRDCKgsnqLiH2vIHqY0MgVQxopLVZg46sgYJrzKNNdX5LqmUoaPP35FqAyfvfuK772fuN284JNcsUmaZ8qyqxqygebmij+82hFzYoqB++OBpEAV2fJ+v+fNu3fUP3gFn1wzvdjQ3F7hmooQJoIKRJ3wU1wKoTJafJ7bBqWl89hsNvTH01J8F9x31QlrWQdlcJIylbHkYWDoe06nMwbL4XDP2PdMk1+43T5Iwocxf6dsgL/3Q/jlDfdvRlTWnId78T+pa+7vjgzDyOQDztZFxak5Ho+cz+eCI1piTDJc/uDnzkO59eDom3DMdac2D4/6XuCE8/nMNAbxyE7COIqTp9MjbdWKai0LG0cZiNNIigqdE3lUDOeO7BP9uSPGhFaZ6qUlp0z//g3aR2rj0CmTzj3XWqGPJ3SOEDKHd+8Lvkqxfc08Pj7KTrOpuLq6ompkLiSMDUVV10RKovnkyUEWLj8NDKczPkzLs2yfX1FVFdu9KEaNk0QYYwymcou50Kw0XHOqtRY/4fn4sANdnBATSwFeY8WKBQN6Aj+sSQBKwfX1HqMU53OPM5Zu6Ikxs92KMf8s1vrb7Oq+3RAuK4ySb7GtYfd8y+//0x/zJ3/yX/Lzv/4F//L+f0a/G6imTA6ZXDuGTU1nDKN2JLeFNGK0ozIWnSIajXMFgyESw7Cc4FwGcs4oNld7Hh4eMAlMoa0EwGmHcbP5DYBgaglQebaFhFN3ZhxHkoKKhg7hSKYEp2Pk4e5M33m0tgRfUQ8T3mf685k2KqpKcYg9U5zEhg9hMpAjOmX22rHH0cbIBo1D43LJrTKGtqnIcYIUsTkTK+h0ZKcUo0/k+wMqa57tb7iZ3vFqt+WfDJaP1FZw2SmwvZJ473Pf4VzNdr/n7kXmur6ijRXt3ZXQiYzi6CbMyx31xzX1H/yE9uaGvK/Q+4bH4Z4+TcQ2Y0m83G0JXvjFKUZsXYn5trZY25Kixe53ZWtpiCsebJw9SXWLIaLzkZhHejJD1fL62PPFm7ecx4l730jhDRMpRVIOnKaRqGBM370Sbn1UVUU3jnT9gN3t2e129J3neBiwRpqQcQxkEvf39xwOB+lMm2/mMz+lUX5gIrP+ezm+6QFWSoQzv/rsC8Zh4GZ7xYurGyrlGNKJbhowqsiHY2A4nwnjgC1WoSGInemubrHaMHQ9v/jZ3/D+/o6QEtZP1FlTGcvx3R2Pj0eunt2yubni5EemxxNffvklxipubm6AxPX1NbUpCwWZ4+M9w9uJqmqoNy3NdsMYJzFmD4EUJQqeKEKI4+HAr371Ge/fv+fF7TN+74//E2E9nE5st9sFLjCVw6pLEs66OP46PvX6359eh6dudXaWRq+M9dc/H9YudSwhpBoR4jzcHxiGgGsz1zfXS9z93+b4lhiwVHdrLdYonj17wSff+yE//sl/iDEtL57/G+IQJfTRd4SQcHUtL9hdFG+z670tFJzlhPG0Q7icMOl29/s9wzBgtSr+EDMWV1ZCLQO9bNTye0ixUHeecogrVzENE+dzz/u3DzzeH5lGcX8CDUkx+B6bIhbIM8Y9b7mANomfhIqJnXXstGNfGdqk0SlzfbWTnLngmYaO2mxEdx48qqr5k3aLthYfI/3o0VmjfMT1E5/aKxp9hbkuBZGMNRXZap69+ISkFZPJUNeY6xvufvoZz9pbtItEldHO0IXA1e0zque3VFdbRqsIZHGvyjUxOeIUcI2hqfcQI4FCx7EWpUuygbOkfLFlnIcRaygil4HIMtm3CoLi8Xjmzdv3uHYjBSqJkXnOIjWtrOOYur8VZed3d2RABA45K4gldDVpLIlqjKSpJ/UjMXgkeURgMqM1x3Pi7BVT1ESlhPupxcEOFbHK4IpZTchh6YRjLkM9rTBZo7JwXo12pBJxpZwT/16bGYeBZrPj5uqGQ7hHBTifelKd2ERQ4xxUCf0gyS3WutKpJ3bVBq3EApYkPrdh8qghsnOOpDX9uSNZGELi0HW019cM3SD3bEw0tmJ/fU3dbtld39C0W/pppKobzrmDGLkqYQwpek6HB9xZM/mR2lmmfsKnxHkY6SbPECK5ueGjn3wsVEe3wW2uCiRRUW93ZR4hnhN1U2OdhrIjNkZk0NqKhFnnFS94VWTnznnmEIcQRI1bWUl+zpImTc5ExPIVIGWD0oqUDadzT9XW7Fwk+Y6Y4NhlxlwRMThtuKo1rmmZgkSs/b3aUZJBJdk6DpPCJ8PbxzM3r77HSMXzm2cc3jyIdWK6GHO8fvua6+d7Bge1uTAVrDJLqONs5KJW0IFeNUXTNF38gHO8OHMZGZ5YbYt0WU7YsnLOunVrCVlgELQiDCPBT0xjT/YTKYwc7x8LzpPJzTOcVfg8sVEVWmXC1GOAl/srdrsdr6pWXlMSZVnueuqsuaoq2rqhUYrKOca+Y/CBq90GQyaOA9umxSknNLasuBsf6YeRTbXF6cxtdqJCqrVkyFUOT0DbBl/BQEbVFqdqzvcHnn38MdN5JGnFoDLqZsfu2Qa3b+lbA04TDIzRi6vV1lJXmuzHYnFpGPyJrh9Q2mFVRpOWsE7lLgvlbFIy/z/lNospLBJcHyLKtviQeP94oE2KPifCNBCGMyF4rNM0mx0qXbqQ7/rI+SKntdbCKGZO3TDQdR1NXTF6wRi1El7wOI6Lh4j4V0POBnJe7uHfNpD5kD41L3CLF7YJUNdU1uGU5tnVNY/vHhj7AQ0M40DTCJ83hiIjbje0bU3TVLjKYpKhLkyJ6MPy+ubBNUaz2Y3FItTQ7Pa4qqJqG/aN8LZ/8E//kOvbG3xIvPr4e7h2g4+BlDLn7oHKOjabhmmaeP3FZ7x985rT4YGcNad+JPrE8XyibrfEHNhf3fDq0x3PX74S+paLhSIqu5C2bQFQq+dZqYurYSgc7blDNcZIk1bSkMdxXDjs668xxhDThd+73pGIUdEHcuhCArC2FlpfZQkh0w/DYmM7m3sdDgf6vv9d0NAyPgzU9TW6dnRD5Kc/+5wv3jyidUvtGgoHqxRAR8LwxVdv+OFVTTdqmm2zSBVTSmDswoCIQF22t8aYhROotV5SU4HCPxQz8to56ayMJsVEzAXGURdWhdGaoERVE7OcyKudZbfZsKtbPn7+Ep0tzgjV5Rd/80sOrx9Jw0S1bbjRNVfZctts2Tc10Uvu0y4kxq5nt92iQsC0G0yMNNZSG41VEONEZQ3b22vG7kxlHNFHVJWJW80weuqmpbrdcR96gpp4+eyayRmqusI2GnPKy1Z/7E7YnKj3G7S2pHvh1f7i4TWTSthNg3q25+bVFebVFd4Z8q4iVgZtDCYqjFXkHCV6W0s8ffAeWzW0bdRaHLIAACAASURBVIbCftDWFBqVMFHWW76l810NT2OxD40JktIMY+Th1HN/HPjqcaDXMuSzJmMAt0rpfRKv8p0cehkGL8MTlYjRM/SeqtnIDiwkYh4Yy7RZKYWPkXPXM3oxzJm7npm/Og/ZvmlLPB9PIAkuk/x5IdhsxIvEjwG9yagI9pUhjIHudKZqWjabTfGg1bTtRtzLKoer5HptXMFmS8Gaz7nVUpCOY4/JMuchZR7u79HG0G43YA12v+HZs2fsrvYczz0vP3olRjbOMgVPuLuj73tcEVsopfjok085Pj5wPB6LWAVCjlRNUcdWYi5lK0ddO7KWAZ1S4vFinVvYOM45RD8YF6nxh25ns2fH7AUzY8tLLSiLq9aaOPnl3l18H7Jw1BXCt56L74w5K2PwEYhCExyGAWAJlrC2YjwOT7Dp33R8+1DOctFSlFysx8cjX375Fe1mBzEtJybFMk1XIjlEGcIMkCsBqvKqi1rfeBet/AUkRz9Vwk2zgXUZOs2WeEqpkpkmpuk6Z8yqI86p/I4onq3aQKVrrHY4U2G14nq3pXkG/eORK1NzjcN1no2z1FkTk6JNmq21oAZ2lcRvRz+isoFUJMlOcpucsVROtvPOVYQ4oazB14Y+TmSXGCKckqetDUOtCUS2LqNIBChBgmBN9f8z92a/tlz5fd9nTTXtM93LmU13t1tDhBgx4FgPCRIY0UuQB/+JeUoAPwUQkCAIrKARSUFiKZJsyVLPA9mceadzzh5qWlMefqtq17mkuklB7WYBxCV5p72rVv3Wb31/3wE9B/xh5PjslnSSPU93Ne3NjmOYMDaRWsdoIVVKDJM0ZJ0hL5lXiOzbVlhb4ScJ2Qwp4TYLmpK+sSxsYO0iHhaN+KCT8CExzBOD90Ql0EdKiagVlnMnbVAPhDO/ySuXQbD3nqatCL1g3jgJGT2eDlTthWDyQaKlUg7ElNnv99zd3fHW69elkxU4YaGgLVqPl3nty7UVYOSc0eZh/PpCj3LOoFOFvdL4yXO433N1c0nTXKCyRqGxtsK5mrZtqQwlNy4LFlzwU1NsAXKQ5yrd2zU5RMl3yxm960R5Zg1zDLjLjvrmhu76mlHfMhTGz2XTMd71MnjUosZMKVF1naw37dhdvcIwDMwhop0WtVxlyAa008xhkvWVI7Y6Z9EZJycA44pQy0e04UHh3N6/LS1tm2yznJ6XX7MoF4MPGw3CWaGokiIhns/T6BnHiZwVRhtSNkxzoh8mURXGKFh4Xa9kgS/L6vnKHbCtDcZYppC4fXHP5DN/+Id/yOXlJfv7F2gVsTqJyiUrlLa8eHbk+f2RVl/hY8BpgzUiT0xJpqO2rrDGrpaAwog4k9WVYe1MIsXWMj3Mecs6k8vulhSoZeeyZuX/jscjldbEGHBKU9cOqzStqzBodu0FXf1N/NOB4e5AOg50UVGZSLw/EcJMoy3BHznpTA6Ru8+ectm24i+agiRGVxXP9ncAtHVDUC3d5QW6brBOLCejzlA7hiyy4+bqgovLS1TtmOJM11Y8f3FHGia6bMhT5Lh/yquPX2P0RzSZOreMRE4p8Mo/fYNHr3+D4ZWGY5eJdcZdOozLVE4TY0ZZI1aeWWNdi3LibKbtkgwrHRRayfewDgqGtlAQFxrWktSwrA2lsngkJEhoPn7yhJ++9xF9zDjb0TiZxqssPNcUpAP33q8b+2/mKqo8rVaz/rZt6Ufh+h76nt3Vlfy/STLWZDMX+pIHQsx88tlTfuc736C2FoUR/nnJPluERVuHsy3csFxrN1bSLLz3xctaEk+UMeASWsuw7+LqUn59Emc8hcG6GuuKbaoxjMNA3VRgDRlJeEk5k7ynrmt0VRNQDDGgYmLwPTEEKmMxbYsPAdt1kuV3HBgOPbP3HF7sSSlx37xAKcVOwTAM5X20KOOY50BSGqykudRX4rmtTEJbxeB7tBXql08TrWvOHHStV6hx4WjLg3q4kZ1FFOdGaxFOAGtM0ip8iecE6Kw1cXOKU0pJAG0tTUkIgePxyOFwWJ9TQHM69BzHCR+l/lxdXWCtZTwNnE6ntfj/qusre0GsJjjTjJ9lF//J977H41cf4fwRZ6CuDMNp6XYt/QDHITFflrw2JVzdkBKNdaSScRVSwuS43qAlcVdrvZqsL19KmAh2xY5DKpE5xpCtDEdQYlI9j5Hd5UUZhMiOGrM44jddTY4wh4FKOWYfqZzj4pUrdo1j2h/J96MMFU1Cp4xHTKydqUg5MY8Dfpi4ubpYec6etFrnoTXHeUJXFcPxRNd1RB84PXuOtRU314+ZU4+xDVW0xP1MmnqJRUfx2sUNh8+e4Y8jr17dMM+R43Hg4uaa7o3X+PCjd7l8+w2mR4Z0qRl3EDqFbpQkLRt5ySvXQcxrsdGqeCD7iZwUzlXMtioDJiV8TyvQheIcrbOY1i/PQ16CCPGcxaWM49nzO548u6W7eATaMcUePwd0CrhytJ7HSZ7zb7wBLn6aiBy3ahXWalxli2VjhZs94/7IzeNXsc6zv7/HWjlNvbi/4/6wZ/KRrhb71ZyUDPVSMVDfQDfb7vbla4Ut8lkKu2Dr2mRUtqJeswZbFeVodOgoMV8YiVrPSRMmSZRp6oroI8aJHC4XJap1Fb54L+i2kncxJqZxJldgppm6a0k5c1119EfhcCujaZuGZlczDAP393cEpRimcf0Op9OJqm1WVoCrK7LJBGaBP1QGLTabkHCVFaN7o0SsVU63IIkfMXp0VmxTMbYd8FYSvkBjL9/zLZ4b4rwOlEWGPUvdgNXjYxo99/cyoAdN8OKhfRw9kw9Ya2kawZitNpyWbLlfBwSx4F2xWN11nWW8v2eykHaW1998zHV3we3tPff3R4gweaGEffLpc771+lu42pRAy/PLqktirNEa4nmSLunAqhDjzwKArFKJZ8/M/hwv74wl+bBa+GkjA7mVWVGURolM1bXM44jSWvjcJKrKkgJM48SYFd11zeObC+Khp//sDrTi+PSeKycuYaGPBAJV25GGCV3VaG2YU+J0f6A1To6BuqI/jYwmsNvtCEnjk6K5vKE/ndj3PRnR7LftjrvnL2i7iq69oFKGNAb6w4jB4C6ueHY68omf2KUZrw/s/sVvcfPPvsl8o4mNZdIe1zm6RoYCs8kYNGGaUVnhnARgxhgJSeCiWIQyyxAD66mr0uEqQ1WogtusrhWf3yz4lIUYP06e5/d7TlNg0olAIGcPMYq+QGsxM/diirT4enwdLjm+VuVonklRTlBiBHPPPI+gDNYueLjlcOq5vzvQ9z0XtaHSimohR8dENg+NYV6mpS3XWlgKhrrSn9YXWuAEKaSb43T0GGUxRmN1kdP6gHVy2pRAV8E3QYZaMsQSnLRqO2xTMw0DPs2YVj5jmCNtq8XzmMQ0zIQg0My+H7iNgbquyfPMaRZWknGyjrq25jScmMJE17VonZnzRI4CD1qlUUbePasVtauw2q6QYrlZK6QgwzGNVueTwkO62Bma2N7nZei2ZuMpocT5IIKqvFIqRUIeQyIpoZxth6veJ5SVRPJp9sxRfr+tRIxRVRW+avD+9tcFQbCmFQs5fIDsmcae22efcVFHbp/vmXqxGBzHkWf3twQPnzy5R2snndLm0tZg1LLDJVSx3tsaaVhr1/ghwd8mYT7Y8wCPFSsW1/8QJQ7FOEvO4iHh6pqmk0nxEL34Gago8MNiwVjXKNVzmiO3/Yl9SFzqGn3Z8qju+Na3vsW0H/DThH4x8emnn3Jpa0LfS1LCpYR/jnPg8e6CVkuHnVPig5+/j6srLm+ueeeddzhwxDU3hJCJGerLiif3e8Ys1nqH+xd0sabfHzBZvuv7n36Kurnkld/+Nldvv8HxW5foneX+QmGua/HnrWuMyqgY2VU12AxZEaZI41qsssVOErRpUQp8yBjFigfOOYpcNCXayq4FYXkma/aXOqsVYwrrDGB/Grm72zP7wMQMtoboEfUA6++9vLzE+/AFIUf/iS+hhwJnI25rLZeXNc5G5nCevJ9OJ3mOl5fc3t5TmwqlM589fcLTp0957eZiMxySDlnZh1zULQ4sWPv551JKZM5FRX5cjttnL2ZdpONixi4dt0GhcsKg8GEipmJtaUHljjAJDa5qHFpbxmmibXdoYxmOA1qJ74dSFqUlmmkaZlCKfTjhY8CHSOssN1ePmEZR283zSFs15JDojyd88sxhWtPAUfL7vI4re0lpEYBYe4YcjDHFaL4c9+P5RLysNbWBIM5CCfWgKC8Fd+vhsIUt1kKdz2q35ffEGElG5Oi3t7ecTkOJNtPkkLjvT3gfsJWj7UR80nWFrbHZAL7M9dUgiKzwY+Bwe89F19HqjI8wj54jho/f+5i7Q88cIvdj4vntnn444oC9gv2uZvZHog60Tc049mglR95KV9QBdM165ApkrLMkJd1rKAyG1f0sBrTKzPOEcZbDMFDXNT6JlHMKolCrbY0qHrYpRGJKhBSojaU2FodGWYXPgZgSubFc6JnoND4qxhSY1cztmHiaZ6KaCT7yiAzfueH5fU82Iu01T/Z0ykJW/Cg/x42WRllcgldee5U4zeRx5t0f/pipdrRNw0Xbcff8BXGcubm6IPvAcS9HmTaOpBy4twl10TBeWtRrmvatHafrzOH1I9fX16Bmdq5FmYqEYrYWt2t4FiN2lhw9bQWeGaM4WRntmKaJkCdsJUNSc3Ehhttw9vtVQBTsPS9H3BzQCYjF8DpWaD/BNKNNxUcH+PHzQA+0eoAwMGmNTlChuKglYh2rxKQ+Dl9lKf6jX1knDBFFwCtHVB3gubRgOke4P5CmE41OzClTa1u8GRSu6ehPJ+7v9xz2vRidW5HJWq1QWormy9cD7Hfjgx0ymMJJttpBUhjOCZqJJX5eFGmuUoRUk2LEZ1GaKit7yuF0kqFaZalyRGuLMZacNafjyOX1Dd3uEZ999hnT5Hn11VfJxjP6nrarGcOJad9zdXVJKLHrlTUCXw0T82lgHka8n3keBvq+xyfBzpumJttEJDFPgxTD1tDUjWz6SMiudUb8uHUxS49pk6UX13lBLvdbTmLC2106zZxVEVFNRSMgxVWX5iyXwkzOmCiS+RoJp41Rwn1VgTecjuTkiT7QHwf600DAMaWMT5F+nrjoGrRKEkOUPF33iDFFngwHvI/kctL8VcPlrwhByA49jiOkSIxy3G+1IuTE4cWBgBHu56Fn30/ylyihue9PI9OVyJRlNxIunkKm9LJ7yA1daSHLjUO6sxAK/Ufr803VCm0trROHM6OEkzeOozAEyjF5+fH27o7LmyuctVhtiJNfvYRDkgc9+bJTaxEYNBc7JjUSx0Au0d3zY8vlzTvkyTMfRvrnd5xuj/QxkWOiniKdkSTZ6TTSF69fSZi1VNqio4SLts2O6kLctIbjPd4HYs7cV5FUW9rXH2EuWtg51Cs7zJtXxNriHHIERIaUJhuUNhglHb1ChpkpyYBG7su03mNjDAlHSOJtIPe4mAyxhEsmTCkO2ggjJYSHCdI6KeYwEVJmP8387L0P+cGPfiSiBQPaZiwGkwNN7bi4uJBhoDX0p9PKsPg6XNvTlyrhAzGKdWNd11SzTL33pyPeZw7+QM6B2xcT+/2RmAX7TVlBTrJRpc93YL/sehlD1CUXbcsEejBQcoqsFTmKXFajUNrQ6U54zNNpNaNypsVmaNoGpRKfffJR6fg1PgxYZzFBMQw9u12H0pnj8QDeo8n4MDGcejHJCkEGz+PEKY1Yq6m7GmME2humHkiwSUxeKGrbiLBVJhzzCjsuobrb57IM4rd1AR5iwC8XvaWYn08c8UG3vP335deEELi9v2OYZobZF4MjWf+Xl5fCeNIlpSMKjOPHib4f1z/nH98LImeM0dSNCA2GYeDYD3x2+wJlDSZHUtaEBDMa4xzRg1eKnCI/+cUH/M7vvIJ1sru3lZJuAYg5EpJCcS6UthSO5eFsViN6iRKJkboqOvK6Au/xoxDjm6ZhCtJJ2so9KMSVtdRVTZzmFV9eMSKtsKUgJ++LE5im1RZvZsZ8IoVM31bMw0RSoiBrH71O51/DIk5t5pMTx2HkMI5gPLU1VDlIpl1UtKGiMhbViwF41grbOukSLi+ou5anOzB1xcF4XFdx+doNvlXYG+FMNk74obvdDh+kY2jrRk4C3lO5hjBJllXwiWEYqMp3MwvWZmtiCZd0tQRlLq5Ucu8qUn8eruSVqpNXTwcdZ2LyjBl+/slz/sP3vs9pnMhYhgIfgccoGfKE2dN1Da7teHZ3V3xBvh7XlleqlKKtah49uub00ROGvscYw93dHcoaLi4axh60cvgw8emzpxxOPZXd4eIm3SU/5Pp+1QK8RBAtv/8hPLHw3lcrAzH38Ylok6TPZBHK+Bigl9OGVoa27shZFK7GVfgp4yeRLde1oz++YFy613Fgv5fiFJIvEnmxd1WVojIVKQWmNKCyqO9sJVxyV0u+XCq83lXoAg8il5ZCuryLy0azFsj00Mzo5YK7hRrWW1fYOivDJC3mOoWKFueykSVSiqQE8xS43/dMPtEPHqUdxMTpNEi0WYricVN8zJumIaTM8X5PXXdomz+3EXzR9dXd0Ky8tFPwVG3DdV1z3x9ltwdpv3Uudm5yTEoogjZ89OQFp2++Qmc0OiLZcVG6WW00VjtCcXBaFuDCP13i47XWjGGiWrrTQlPpp5FaCxuiaZoHQZzLw1xSZt955x364SRdqqvw/QjaELwXwre2jH7CVcUf2Ef8PKGSwicRfWjtmF1mThqcJTg4JBk2aa2JNvHKt1+jRTEfTszHntFHTuNMmDUqZwbsGqmSVYNtLMkZ7K5i7hp05fjYH7i5qbDtjlw78uOOqAKpEmOjru04HA7UdY1z9TqN1RmMsczTRF21Ii025eRRBBZZLdHxCeMqugvB2FUZTGSliDmiYi7EdHE6S0Ry8dlYN8Z4JJA5Kcd7z/f85d/9HGUdySdQhqgttco4o9AaYvQo1WK1pm0Fjvq6XFtKE8A0n6id5fKi49jPmKrjbn/EILMJlBbKnlY8e3HLp8+ec9G1VFWmKZLlJdn3izq0v+/aFpKXi812GKqUIhPISmh9FAYRTgovsYgUCndeZ1Wy+xJTPKCzYTocz01HkjU8+fJ8lWf2I+RUhnEi7+/9URLFtRS5oKKcdkock7IynFKFSx11wmi9NlZbocS5wLJu/NvvvvxjNgPMLda6/Hlb68kt73erhBN6aklIVgvMceaxx5Toh5nDaeTuMPD87sBhjAQ0aEvynqYSa12lFG3bQQSyJKT4NGKrZn02v+z6yjS0xZwiRsSopHJMc2COgcxyczSowm7IWkqw0RyGkVlXjAlqDBFf1DiJgCUq/aBL3YLpy3GkqoT/uKYcF+/WZZdb8J/1SKPkiK4KsX2/32Odo3JWvE6Rwcoy7VyGSLqYlahS/MtTxtkdg+qJs6cyGl3JLQxF+miXrjIEnnlx/cptxNQ1NkHy1bpgxs1urpQiW+iud0w50t20JJO5yq+wu9xx6vcoJQR2lxUmJ5qqhph4/PhxWdS5UHjEk1VnSWdFSQho6yqZ1M7L0ahMlKO40CmlMIV7mpSIPxY/jboMSGIWD1XhweY1wpvsOc6RT/rMX/3oF8xQqGpaYIiY0RXCLSVitcaXhIYcE9WXMK/+dV2ZkqqS5L5UlYRLNk0DSaLStVNYa7jctXz69Ba021gUltNCTrzYH3h2u+et1yeatkKFRNNUzIu6c3NUfvAZXirKW+qUUoqYz5DRcm15sCjh3qsCQ6ScsFZLN2y0INBeinNMiZjk7zdZo9JMypnT6biBBjTMEgK6rM/p1K9JMimBtgqczE+U4UHhE/pllpRlq9bButt0wIvl5LY4nrVa5yZs+Uw5ZzS5DMQ+X3y3fODlz9je3+XviqnAGmrhCpfnF2dQmRgzd4cj/Ry5P470cyYkxRg8xjl2bcM0j7xx9YjoPZevvSLQbD9hMFRdd4Ywf8X11ZVw+WFOVUaGY8InWWguGXJYPTrlhsvCGUZPci0RBVmSR7Ve+MGp6OvV5/5Z+aVKJr2mkLNzLFNPpKN7OC0tCbWcscoYZfdORmM5K/LO09Ty+7NQqnSWqO+UxFfUGUVVWQIJU2CYEAJ1ESmkNYTP4mUfQhkgypg9zMUUPkvW1LKh5JwxlaG+7CAFghOJ56VpubjcMc09WoPKGedK6mwqw54o6RWKs32htqLCs65an9eymX3RojTGrD4cIafV2tOUqHVjzGq4I6eJJBaUpQBYq5hi4pPbPT94930CyNBoYw9oUGgDBoPWasX0pWv5jROB10sithoxoUkimfazeHl8/MkT8ZBOEt8kSUoLP7rl1E/81d/8De+8/SaXF40k5s4DWPegaLy8Tr/Mt395kr+FMoqQWrj6KlOMW2T9L9CFTWhlhOWAnPhiSPjoCTEQQuHUlg3F+2ktblpDZSoqY1DWUVldOLrSXCmNzDQWuLAwGVTJhzNOfs4oWU/Lul9OuasCUJsH32ubi6eUSIS392Exr39ZEfdgwLn5edk0Z0JcGDvl9+ezIm6/P/Dk6XOe3x64O4yMPjGFzBwTtYFxGrjoWvnuOnN9cUnT7PjBk59RVc2XPuHAV86Eg2kKPLquUMowzV5etFyGaAm0zpvFVQqLBqUyKWXe/+QZb9/8NnOS7uq8n0tQZmUeRlfDeYg2jmNRZMmQaTlW1cZKrlvKGGsePCAQniT6vKMuR6CqadExlxDDEp5YiN+VKZ1glGhtqzW2kRQQnbN0R1qjmpp5Nmt3I8Upk21ei4pJ4pfbNI1QYipLRCCRi1Zoa2EcS+ehuDAa04i50AWWlGYu2gpUptKK64trUImc4+rUb+sKYyXlQ2mNtY6YE13TMsVl85LFXVdNWbxy7Kqb9lwcjCgdF1N7hSaGuDIgllOQvDQyVY4xMs0TE4YPX5z46LYnIKknFgiFi+0qMXYnBVQ2hNmTraau7NeKB3w8HrnphFwfcyanmbppmOaZN19/gxf3I7f7E1OJt9JlTVlr2fcnnt3ueXp7xztvvcrkZ2xtVwgMvrhIvPzSbgv09tp2jFtIYnFJkAKcVgxffl5+jS2JEhlFIKCcxThwO6FQzYPQR1fZ/iKKonCS4wZPJeKszEZkmed1I5F7IkXYGYcyFqOMnDI4v9NbmGEZxsXwsIP9HBb+0ol+G7SbUnoAUSzXtkNeoBv57yV4oJziSMyzmC6dhpG7/Yn7k6Scz0HqV1VB3Qi/fx4nLnctFxdXTD6iEjRVzZxk8Pqr4Af4yhAE1LUuNy8Wm0KwlWPwAZ3lSyhF8V9YIIQFmzH87Bcf8Ltvv85NrbjZGGUoJblO20nk9kFUlfDt6rqGFIU2opSwGGJcj7AhBCSIohzvyyZwzvKSYUAOQUjjCaG8lUGR2CUo8BmNOC/J0V5jlKaunHTgxY/CajGM9j5SN6509SWCfJ4hCwe0tg6fIm5XEzWgNde7C1GApQyuIkdPZR1VZddOHacJAWq3W7uLaRIWg3OOtq1Fupk5c6GVElOUumIcR7Kxa4zLEuFkS6LuAttAmRYr6QCn+ZyhpawhDUNJHkBODVngB2KREmvDx89e8Cd//lf0SaO0wSXxaNYWsjLiElaO4m3bog0Mvniw/sbNeM5X0zSSbFsrCQDQEzlnmqbiCsfdcTybSSVFXdIRQorEDB99+oSfv/cu/+TNx9Sv3pCcXu0NlwK6FWPIDOAMKSw/bpVdKT+0V3z55bZ5U4BJxLL5Z/L6vDQSmMpiAquWIFrh4zsaYSUptZRJEQgmOQVGLYZW2koHrbIYDi2qSlWKqDGSL7iKFLLYzqYMpjidLfOc7QBu++4v/709IQKkcO54tzS15d5ub8sXbWpLEY4xrJBjTIvQw9P3Pbcv7rm72/Pi7h7rWvrRr2tfBF/CBOkqx263YxxH7vZHqqri2M8lWin840MQAji3MI+c7vdUN5ckNLuqph4sPqfzTlawVJQis6TqJvbG8rcffsjv/ZNvcB00l0GL/6mx9Bqslt2ptvWK56qMCDSixh8nzK4CBbHckJCFOyipqwKOVwUeOEMKEmVUVRVOG45pxE8zF92Otq4xPtI1Ld57pnEkVjDPHqcdKovEGaAp9ngA2kv6bVIZ25QNYJy4qltiCNTNbi18KQXSGAlBuMrX1zsaLd7K0zQxEXCuo2kWS7s7jFE8upbu9Hg80raN7LylOO52OxJKUgOMQWsDKgkNz1k0iPcCM9ZY+mliCIHu8oJAxPuJtqlRswNroa6wVjH0J7QRz1h8pM6KvXE01sA8Eoot48GPJJWY08yf31b8b3/yt/ztD9/Fak3QllR3xDBy6QxKJfIY0SZzsWt55abD1A3vfviEJy8GJrqvshR/rZcMfEfaWqCIKQam2VNVFxz7YcUvBU+Pqzhj6qcVxrm723M4HIiPLsUSsTsr17bX+t9/T7e0LU7Ljy8X4IVlsb10FpOmbZcsWHHBlxWgBAoyVpy8IgEVzwOureQ3Zxmsay3Du5TV2fx9g9MuRXURW2hlN8IbGc4Ba/f7snx4+Zzbznj7veNL92ELX2zvx8v/vb0eYMYlvTptRETTNDEMA9ME9c6iVGDp8AUyCVh99piY55k4+/XzWF194enli66vjAELHw6sNQzDwIgmJYXNbt2Rli+5dFpbkP04zXzy2TNevdzxVmdoKjFOt0VkMflQ8q/mc1fnDHqDES5OR4vKZSn4McbC+4W+7x8M8pbPNo6jDMtqS1PVQs+JkTjPpBBXtV1GOqEt93AZBCwDu6ppMFY4tOuUtnZYo2nqljEtqhzhPN/cXANyhJnnmXE48frrr7PrGqZJeMvkiELx6iuPJNzvuOfq6orHjx+vi+rq6goomXgKMAKf2ILLKaWIXk4cdV2RtXQwTdNg604sQHPGORFZiOxbutDTNBK9RyEbXwqBXAYVMSSIfk0CSAr2hxPaOpKq+LO/YF4rWgAAIABJREFU/D5ag09JXhRVhqIkdF7wu0zXdSQFP/vxT0mmpu1qvkSz8Gu7ltdEaY2fJdfNWjGCGeZEiobKiFnUzUWDfesVfhY+Yz/AFGHnA521TDGu0M37H37IT957k+tHN7z15usQoC7udipGsXE0joAweQwPi+yyppdiZDb//eCzl5fcm00oZZahWy7sn1x8sJVuWBBjrURym5UkLAcvieSVE7Wqn2ZyBgdyhEHeK5ajtVKQ5X1xSxFFCf9cL8NGg8qJXPBgq4QbrZSiKnL4XHxJznHH56L78ikhhLCmHRfXWyJyOl1LXVwk8X4tiouQI6VA8p7kDSQNKYrRfMGSvY/s90c+eWF4/zPPEDV+huxqgj/RVopKJ5GZW4fC8MobbzNNE/fjyGns0SZSWUVKShJw+OUnu6/cASsghZLomjJN1xAj+D6cj0ubI8HnsCxTcZgDHz+/551XruisowoZrT06SaKFgPtLhpbIETHFX1WxTuGX48vi8au1ZvQz4zgVnXtYb+7yeRasLiVRw6UQwTls5XBGEmEp33OdvK6YWF6PRUoV/wpjMMWkKASR1FpjaKoao2TIuGwA1hoJMl262DmQCXgfSDmyuxA7O+fKoC/MkrFVzG+2+N9yGSNMj5zF8lPuc6KqLcaI72/M0DonkIoxpPVZCPHd+1mGJE4LRpsjZDFMSlkSdhtnyH4mxpmUIxnwEXLdMcbEd//0z0hGlIMijc2EFMUTOWcCAZczdS1uWJ99+hTrHNk46sUo/2tyNU2DU4nheCt0I51RC/e5PIOmqXn1keXySrF/8XSFFXyJxhrHme/94Ps8urnk5uYGXVlU0NJImE30OqCzYOvw+Y53ZQTx+a53C9FtC/NqAr8ZKkvTu3STSrwYrBXPZ2VeOsYLMygmsavMuXgEmwUyEBdAW9aLNLt6xX/Xz7m+/+eueJmxbIfrW8hx4Qa/3NUu17Yjhw0PelOoRcq97ZSl+IZQ+PBxkuFbnglLwMQ4c3t34KOPnvLhx7fs9z1ZKcZZciiNPd/jEAIXFxcoJVL6bSqz955vf/vbjLP/3ND7i66vKEXOhbsnR+dh7HFGsKCsMz6eHbK209rlw0nUTcVpPvLBs1tudhX2G69hjZKpao6MWVgCKgkjQibx5c9SSgYCmNINnNMZVuVcgUG2WNvyQJebl1KirsV2sF7CAK0lRfEpWIq51nq1A1y+/3bAN/oTKUdJbDWikskq0dQWUqCykjYLkJZuoZjaWK3Aih2mc4Z5Hsk50e3qcpyD2laQzfr5l2Pvcj+bpiHi1zQJmT4LU0UpeVGUjhjTkNHErFYsfLlvxmRcJ5FHADkFwdX9TCoLS6lMmE7SReUy/EuK45x51s/c74/8n3/6/5GpJQ3FGIhBOmADWUnMuY1QWYexFXOI+JBIUVJ6SV+PVGRYjsciWjEK2s4xnHqapqOuKkJUvPLoGh/u8GMo6EEWgZGSAes4zTx7dscPfvgTfvd3f08M+rURs/okqctK4mCAh8KLlwtqSkm8rfXZ6HzL2IGH0Mbyr1sMUk6Ti4ezKDkXzu2yHpa/W37UWGVQTobJIthx58aHtDYfSinBjnN68FnW+Ys155OwPjdpC63uZabD+XucBSfL9365MC8Q30IJVGXgbOxyXwvWm7x4lSRPTD0hehIFekia0xh58nTPp09u6UfxmgnLnAOZEwnBIKLNeSMeN4kYXdetuYlaxy8FQ3xlCKIyFmsk5qdyjhQifT9RqfrBLrT8+xoLtGAuCnxSzP3EDz/4BEuisW9TO4uLsyhKokwzBbhXaCO2kkaXY0k6G2fknEWQUf5e2UHTA0xq4QwvC3v5LHV5eEbptcNsXCVuTEu8dSncUjzdijkJDlgmwjlSVTXzHGk7UceE2ZOVjESUUjjroDiuzfMsQx1niL7ItbXCGCvK5yzH/xwzTduVmBvzIJV46RSWGPVlAW8L9nLv57KAbVUxzDNV3ZJz6VSVkiSRGFGIPeg8T2JRGM4dAn6ksYZpHshYnu1PjO6Sv/nZz/nrv/sefcxUlUOZTAoeiuhikfHmnKmsDN+ePn3KMM4oYwVTnxNN9fVIRQYevOjee+rkqNuOGIvIx0dyEr/mkCInV47KWmOd4zROzDFRNR3vvf8RH338GZV+E32lMcaicnGAA2Tc9TBdZPn37ec5ex7kBw3HGSs9S7nXDngz2DRKlU1ZfkxKGC6JjPhDbFko8vkyCav0Cg/lannHxcnMWCWnxpyZhx6tHkIkqXTZamO2MxYHspc71+13hTP8sIUvwwqpnOvL8pyWgmisfvDsvBeFZgpB7CfDjFKJtHxWbej7mU8+fcYHnzzl+d3I5BPKKJFFl/rRNhZnDcZqLnZyiuu6jnEc11QMay2PHz/m6uqKwyefrpvGL7v+ATzg8wLQWjPOgtVW1uLV+eeWQvWAW6sUcxjBCMf2ee/523c/4rVHN+yc48YqBp+wGoyRoqTKjm10gSAQ3m6MEVss+dJLk1OtBXYQ/X71oAAv3Xn0QqGz1lK5av28U/DMMVCXRbn8s1XvLOB7yBlVoreNcdS1WSO921Y6JVlMAhVYZ/HzXIj9EuK3vOyw6OFL8dSWqrbrQ1w6iG33A+CqGsppwNpK6HYxF4WgMB1SErc1ow0xybTels8co8dqGIaRurBDcoiQwqZTCWgSfT9AUjw/3BLrG/76J+/xb/7X7/L0/gSuZc5CiUNnTBIYI3uJQDLWctV2XF1d8YOPPgYoKdaalGfil0yR/XVfy8xgGk9iwH480DQNbVeX2YOibSyvPLrChxcMQ6KpnDQIzpEx2BAJPvHsbk+cZv7td/+Y/+G/+2/49re+gbm5xCmIIWN0KjOLiFIPC9K2e5Um4SF17eVCrTdsgoWfvaDbSqmSvbgUQiu+EYkyA7APGpaco3DMzfL7SvddxDp6aWJiAAPJl65PnU+/MjBLK7NmOQkvhX5bQ7breVs3lu+3/L9FjLXUk+0wbU0hLiyk6D3RT2uD5MNECDMheLSSU7SPkftDz+1+4Oe/+JjjaSYkIyc28hlCKeC3dZZc2BNKKV599VUxH/KeZ8+eEWPkO9/5Do8ePeKTz5587jl+0fUPbjuWRRGjGBVvj+bLP9sbuywElSMpg9JGuoc547NmTpnBR1qjyVmjVCKr84RUK0VaC3LBxsoDWzrg5YHlZbC2HqHPx6x1AScxzFnahS0mtS7azS68XFun+5d/7XrDkyy0uEZk8+DXLVJPknQZZJH6GiVdvzZC60lBOJ3bzn3593UyLZw2JE4ll1gm6a3khugHm4gxm9QLQSBJSboSohgRpegL+2TBz+RZK+sI08zxNKDtFU/vTrzoJ8Z8pllR4qAEf86QEyrJhmWdKV0JNJ1bNzJSXlVoX4drKRJLku4cPK+0r3A83BPmma5rud8fqZxm1zru7qUYzVnhs2KcPFpb5mnGKMNPfvouNxcybKys5vqyQZeCkrWCUKS7L+G68PkOcbm2HbBSipzOgbby+0Hp5ddp8QTWC/5a5gablI6XKWHayNrcFmBhT8jpTGKkIM4TwU+F9fDQDH2NVTLn+hA3whyl1CrE+fs64S1csVJLN+v/5aF/9F6COktEFiqRUySEWbwf8ITo6PserOPu/sj3f/gu+8PA5DXYikAgosglGSYrxRyEEWX0At2ZdZ3Udb2q84wxvPrqqxjz0/Wz/bLrKxdgq6Vzm/1IdpKmO8dUomjOL9E6INtMbnPOKPJ5wFO4sZ/tB97Y7agrDeOMsxYou7ISjqRGzF9ijlRGOtZY+LC6HHEEAxbC9FJwlwK8FLBlES5H+CUbSplzsdUb+XMumPTyfay165/VNjs5fsVQIEyJ/TFZI2tl2eUtmcgwzLRtjfeF56ksqtDuvJfcKWOEueCsDPqmeM63Whb2gnsBaG2wzhbvDRG3aG0lTBNLLtN2YyTIdHmRlkWvyZz6E1YrjqeRXKbFsRiuxJyYoyQW9McjoKl3V/zHn77Hd//fv+D5AJ4K42bp6F0mhSRBj0oKrvBFFa8+eszd/kDVCFWlbncrPPV1urauXU0j+Pkio+37HmsNlVNYDW3juLjc0feK4ziTkmx0PiRyViJ6yJof//inWKP51//9H9A4QzJ5xUfl79MPusGtpwHw99LU1mLEVgBViugXNEXyc8KXNUYG3rZgu0uXqVQWOEybBwU4J7/+fYIBa1IMKLsU5zN8UD5AOSmeC+hS9L9okLYMzLfQ3xcV4KUjDkFCMbdzIIvIr1ORzKccy1qPa1GOXgMV7//iY77/o5/y/O4EqhZ8OmpiWuTdrJ9PZYpZlV7hB5kNDWsC8uPHj7m5ueF0Oq2isV91feUCvGChsuPIopzmUV60zaRwfVCbnSyXTk9pyCRCgDElvv/jn9BNJ9xbr3NRK4INQIXGipdDGWTFLDHpIYcC/MsLsoUglge0siJKRPXSuW4f/lKgQwgSG1MGXTlnDOfE3rqu1yIJrDfW+1g6y2rN70oxSzJHLLFIufxIIhQXsKauGaehRIk3WFOtL33TVMVIKAqFrBTKqqo2BcCun63pdvgYCWnGGIezDqNdmW4X1URVCf4bZeOZym6tlGKaC2NkXvw00kpKXyKoYoxMSWCOlBI//fl7/I//0x/xcQDTXuGjoqoyOUZiTNRWEX2kqhXaOpyT+zOOIyF66rrl2I9UlS/3dcJ8jaTIwyBuYTFGNBKQuURNHfe31LW8gPfHE5W23NzcYIyhn2+LHaSwS4ytJFvNWsZ54i/+4nv81rfeIf32t3j98bUUXHVWhW1PjNvj+RcdY7fYYkpl8PkF18qjTeeCp9SZ7aDXk5FZNxytIcyC46uUH/z6lEV8s1AXFZq6vGv9PJ9PNcj7Kqq5h+Kq5f1b1tba+Ojz3GXb4S5dsvcySFuMtrz3TNO0ekrIRiRrNMRAmAX/9X4kJ2EaeT8znBRPnj3lb//j97k/9Sjd4FMmJ702YpkNBBQ9SkkBtruOuq7FX6Z08MtJ6fLyksvLS548ecLpdFqbvF92fUUWBHgSUU2ggmRe6QpTWUI64XJzpn8oyVXKykjRzeK7Y+LFGQA3iWwi9z7x1x/fMTev8S/edpicyT5hHOI/EBIZgzJOdqpC7TJGMwYppGRFTuXIoWDy8zqUk1SMvKq4Us6MEXSS7rgychvajWVlSmfceC4P2ZQB4OIdkbNQdJyy5OCplUI5TUwi08zZlCEXNFWFrS0xCP2sxnLUA14pkjLi4wDMPqJVRQwQtCHlCusUkw9MfkYp4dWKvaZljtP6ImcloJ73HpXE/7frLtgnhfHn2BWVErmIZKxR4tFSrD3jHIhjIIWZmENxPvPE8cTzSfP9T3r+5z/6a34eFV4b8rDHAVbVxKwwtmGIEVdJqGen4fW24q03Xufnn7xPV3f4oacCse0MiTnCpH/DfsAJkUvXMljLxpIS6CKjHaeEMR5ba+bU42zD1fUFL+5PXO86KmU43B9wWTOGRNKZkGZQiagS/QxGwZ/82X8gYOD3HN/oGtJ0wpmWYC4hJ0wMKF0CCVLGZItSlXinLMO6BCksg+ZSoOMEFD8PJTxfs1AKofzuWobLKmO1sDVk3xOYIusaUwn3fYp78WXRmYSXDLogOLKcmwBtUToSEcbAcjrciixCFOOlXHDpqFKpBxkKzKWVIqeED4GUyukxymk6hFn8XkLApkTwM1qIy6gYqI1AfgJ3ZYZwYh57SUWfekKc0UrhYwZtmefAh0/v+fGP3+O+j2TVkLIuXW5xSUMVmCULnk6SgAJlaeyOpqqoneP506ecjkfGcUQTcCZzfdlyd/cpTifClCD/o2LAxYDHGKxV+NK0VFVFnGdiOB8dluPI56aARVWCkpSAGDNBKZ71PT967xe8c/E2jTWktsbahDUKiyfniEvViiNDpqpaiXjX4KdCF8sQ1RmjWXbG7TS1rmsUZo1Dt8Z+7oijEDypqipCjIylCDvn1hy6rM768y1mtwwFUloms1aSggtPOCvhg2btyNoRMhDlPmork+acBCuXBApLDEGm0sbIhNJoUoYUE1bZstmIii5mGIaJi4uOwzBiLjpckWxrbfBRImtiiEWOmsk+EOaBME/E5JmDl1iZ5BmDJ5uOXzx9xgfPDrz70RPGpMRhbnm5dZGnKy15WjERY6JqGl57/VW0Ezn0NE2yaTkZMPqYHnR+v+krZwmT7Jpi6G8dExDTxONHFzRNhy+YZ9fVxGzojyJDf/2VV9n3E7qfmHxApyTPKKWiCMu8/+ETwp/+PxyPe/7gX/3XdI1l8BmbRrkPOoqPgtqwH3JCKb+u4wWOgvMcQiMm8DkXtgMir186S8FfYeFdKPkLiBlUVqtJTowLQ6gpw7hAjBnSWQ22/N3ee4w9z040D5VrS3e7ZS+o6gwXvNzlppRICIspF5jBB0nM9l4GtbOX7nfpguHsFSO+KCPRz5BFbkwU2p9PmdFHPnj/Y374s0959uwZ2royZCvCErb1SwbjCxShCj21qhw3NzcAdF3H/nik73u6ruP6+nrNDvwy3S/8AyAIVfDVyjmUqtknJUnEukQ8l5uegRgzeqW+SNIpWVRVSzuqnMWHiDE1z/qB/+vPvs833rjit7/1NkmJ6mRnkKLrFq8DcV8LcSalgPcRSERfIA93pqIsrIXtS+69xxoxDkkprd/JmDMJPHE271jsCfWm0MrNeOhKtajyAIKXkMRlMaYkO782ThzkUsBULT7kFWdGO3xWqIQU5azBFPvAnLDWCdcYiUHXWhGTxSBybKM02tYopWmVRI2HnMnjuPIZlyMbOa8833HuRYARZqbxxDRNjNETcmIi4WPi3/3de/wv//sf8ek+kaoOHSXHDzTWaBJl8JgjKicq5zAKuqbl9u4OP8+4xnEaThijBDrCkHxYhS2/8Uudh0hbwYtzjsl7xnGmbSqSSaSQubzqmENi6AOVU7z2+mPy03tCzFTTjEqR7BOxsFCykvidT5/d8+d/+e+5uLrkn/8X/4yI47qawRiUEVFDIqOVZircVavNuoaX+caWkeTMeYAcQpBEjM2wquzxxWDJEJXGuVrsRbPBB6gqS1WKko8RnZXwloMUI6O3RvCsP67YcoorhLfNjlwpYsYwLZlrm4HaeZ6h15/LMZ4dykryjp9n+uG4FuwtzWspwClPKOLZuF0roGJ/d8/HT57z3nsfcjgM4sSXBOvOShqJM71vgVHLn5HAuDMN1ForXivOrd/x+uqSN954g+fPn2PM5+XRf9/11Qtw+QApBiKaPEeUE4Ob4+TPC7hABEtsvF6OITEBxeAbLbABiqkMarzVPDvN1E9vsUbRVZbkMuBIChn0lLytYR7Wzq6phKMrqaZnBZ7WWlJ/Q1wXwTjMOCfY7NodxEjtqnWHjynRtm0prKHsun4NrdTayINLqcg4gdJ9aC1d4MLfXYZ4VdWK70Pp1n3UBXeuqOqWfhhwi/VwVEg8vAxLvJdF17Z1wa+hqhqCh6wsKXmysqANsxcjn2mauLq+5vb+TpRL1nLaH+i6TgYXPjAOA6aGMA1M/cA8j/gcOU4zY4gcppF+9vyb/+P/5tkxs08QRi/yVCUzAFWwvrquCbOXjSbFIrEeON6PVJVhV109YKV0bcfgRV76ZeJb/lNcOUvklhiqV0U5lbEm40OiTpquu+B4PGKM4ebqgtNR6E46Z4yFXdcwzDPT/aHMAJSoyoDZB+rK8uyu57t//O/oh8Dv//5/SbszuCoVKS1od24GyBGrz13vwu7RWq/KTvnsipTO/imVsWtXnBIkI0BXIT2S0VhjV+Vp9IE5A+XoPc8zMZyLqKnOG1TO5w59ywKapmn9NefPdR4OBh8e8Na3IoqcMwmN9xMsrIYoA+HZj0zjQJjmUpQFlMn5THslZ1Lx+s1RkkBAc+x73nv/Iz59esfo1VrAtT2bgS1eGufPyvr/lALnDHXt0EZsDpqm4XQ6kbM4I0pitjRhp9N+Ncz6VddX5wFHIWnrDPM0YXW9TrkXzu3ypbQWbHalY4gZLCrJt5P2XkMpzhHFiKGrWl6cRtzT51zWjke7Gq46fIari4Y4DYLtaphVFB+DSahPJmmSVevi2FLJFv/Ztm0fMCLGcVwz5BaWgdVi5+iLpLBq6nWgMAf/YFcPIaJ1FkbIJD8XZk9dhgPTJHLGUxnuZCUsAKtqTCXihBQ8MWYx0dGafu4Zjz117SCJ4MVaSwqL8igx5oneyyKLMeHnSAxCCveFCnfY3xN9ICl5wZyxoosP5SVGsr/8OODniSlMTDHzou+5PRx5uh/43o9+wpPjzJANWZsib88ovSRbKKzKxZQkcLFrqa0U5uvra/bJ03Xdg+Hh9lRx6k+/ki/5677khctrgzFNE36eqawjaY0yinn2+MpSB8Vlt2Poe7RVtLVhniP3h0HCGk2iHyaO9kTwqTQZhVKmFLOPGK14/uKef/vdP+bDT5/yr//bf8nNzQ1XVzuUyZgcUCrijCXE89BqK49f/szFOW/rHVH8ytZO3hkr7Jao1vZVFetYnRFP4GnEqs1x3osLnNOSJTjluA7Z1g6WM8splSzBbee3hRsAkvn8/9t2wcLXDWLoFLwwDMIsHi5DL+yrTWe/FPEl7WOpPzkmnn72jNsX9xwHz/1hZA7iRw6FTmoM5dE8YGuJR/ByWhDEbzmlLpayb7755roJX1xc8M1vfpN5nktX/OWMeOArF2D5gFZpkrWkYSpGK6KMaZqKvu+FimXL0YQtC0I4iJQ9WOWlE17+7ITPYOoGbSIv9if2RKaxwzpHHTNTOtHogI2BxlU4awg+41XCRtGlu8KISRt7S3lYy/GyGHMskEJMIiHc8I7HwpJQSkNWzCGtgwRfkoCNKr4QhXes3ZlGs/U2GMcRtYg6XC3ewtbStJfE2UsnOk6kEDmdThjNCn2Mh565H8g5EJ1Gp5pp8hJB1FoaI7lyWZviuxAFZ1WQ42Ikz4MNJ3G+LylG5uBlyDfPDOPIEDO/+Owp777/CT947yNOPnLyEW0rieAxVoY7UWSq1mhcXXHcD9xc7SAm2qrilUeXPPn4Q4xVnE4HHu+6dYPruo67fb9uYl+ny1rL4XBApyzNRmNJSOyQ95FJwaPHlxz6PdlHXnl8jY+R/f59um6HcdCPE82pltMTsKzvQtQSaqGrmKfA97/3I8L9gd/67X/K7//Lf85rr9/gcsboTKWyzAvymQe+FNXt3EEX6mOp8Sgt85XlimSUzWuR9FlkuFXVcBpOoBWt06QkDY2fvQyikUbKGrGbXPDXxTc4s+G6bmJ91s+lzyk3MUZCPne8cMawl/XpvWcYe6Gcxsg49gTvmedR3pWlU94W9c38hiwNxosX93z08WdSj5ImZeH0amvQcSMOQ4byL1P4oNxHWD1cqtpxcdFR6XM8msw08sq8urq6Yp73X7qh+Acp4XLOkBb2AWJPpxO5FCStzwbHqLOJTaaYehe5rAaZx20cg2KSaX9rHVXX4VTmfujxH33C5e6Ct956i6g8rapBZeboRRapISaNNZDneX3oWuvVA3e7Q8YoR+WqqmhcVWJ49AN8bYlP2ZLLtw8pRb/yXI0x67Ej5yy4ePTE8rJN00TMipubmlMvHMEL22KN4XA48Pz5M2pXoQ3c7e+5urqin07kGUSFI/lsQ/HfJULrOmxryCESknQs0g0UPudCRcsWXxZKXdfM8UxDm+eZIXtuX9yhNexPPe9+/Bk//uAJLw4j1JdklXBmQmmYCevkXGtQiFhjmgNd5zidTrzx+FXeePU1Yhi5urrieLrj+tHNqplfIJlhGNBVXRb71wADLtfxeKR2lhQ94zhSGYd2Ai/5OeCVhDbeXF5x6A8onbloGt5++00+/vSWZy+ONM0F19dXhBg5jeMqNFnYdkppUlmLp37gb378Ht//+Qf8+7/7O/7gX/1X/Of/2Xe4vqiY1cCubQn53BwsNNAFgtiKhtZusnS2K/3LgM6x+DOIyMJPI7n1zLMwfu76YV3PSikJXQVSDPh5WkVLQr2U4qM2QiajeFAcX+5wU0pMxAc/vzz3BcqY5nG1d4xRaGYxzGXNi0ho+3dIkySDtnEcefrsnsP93crF1doQUmaYJyafJDtiu4Ftuu8VSlELP1lqVEqJrrukqiratqWraj799NP1O7322mvrhvLBBx9QVWdM+1ddX7kAa85F2GiNSmeRQySunLyxYEFsPoTgq4rFom15yNsrq+U4IAsrK03bdaTgOZ56Xtzdcl1lyGUXyxIUapWWUMJkSOnsZLY1+4AzH1km0/9/e2fSI0mSZOdPN1s8IjIiM6uqm00QU8BgCB55KP4/guCRAAH+G14InnhhDw8kwAMxvaGqeqoqlwgPD3cz05UHUTV3j6xeEqiebGBcgEBmrO5uriYq+uTJe0erI8F9j7haW9DPd2pOX38dvdZNuY0T6ANxIUrlOCrpY2a32zHNHtv1zHNY58k1ilwiaRbII8SFkjL+EFCqkKKq1aNZp8eWaV7f5JTEhmjVDFAZFWQjLHpcX8PRx0xe87IszNkTsoxv3m8f+Pr333K/nZkjRCw+NB2Ceh2zTB+2aaj1KIjg1eM4sCwL795+z9gf9StC8Gdd/Jz/ulTQWnjv6ax4wj097iAGXGdpqmE5Na75wM3VyFJHZD//4jX7KfH920euxg1oy1Styp/TnO0JhECBgBg6fvvdG/73//m/OFP4N3/3JWNn6E2FfmqccoPbevbFnzUQW0OxRVZZqtVyHHooObNMs1SmAEZOgSJQLjoQ4qJS1b7KMVl6n4+TcaqJZZ3DC+2jNaoAojnZFE4aaE3jelrE4issMjrcoBBpLEpz7ux119Hkp6cn0Rg5ZKZpvzYDhYEhm1fMIpNqnlW6p8+nfb19Wym4vr5Ga732hFoBsV7bfDQQ/uyzz0hp/0He+UPx0TQ02zsUiTDt6e1INI4lF3LRuBxxQNEa67pK+BdJwqyVHKOqRXqiAAAgAElEQVTpaPdcaRSo0+qSIse23JG1CHmrYWDT3xCWmd+/f8cThs9fG66HHpUiV5sRmxaiQpwnnMJYWWgNr5JmW8VPU8CYHmXE0WMKMikjiTeRi0dnRyonIj4Vh5NJsTZUUsnyKMiymZRSsMYQYiGakwnAktkMA37e46cJlXtK17Obt6LKlKJwFQFjLT5HQgzQpo+UbGwoXU0VPYsPmCj4n1IK46z48wm7Hx9lcfZ1gShjOCwTymhCjjzun5j9wnsfyaHw219/yzff/J6DT5jU0ymNSwntPc5mpiULpKQN4nKgyVH22Bsz4P3CZ68/53ro+c2vf8Xd3Q3eB26u7sgh4+hZ8sSLq2u8n0At4qjiIJdPpwVR6ocqmq70uDTQ6x5rFa7XKB3RJuNjRjnHPkc2RbMEGDcvmLbvUCpDiVxt4OaqsN9/zzi+5KofeFSOiUBBobQV2CcnegNOF0KGjNDPMpa919w/ZeZg0RSsChh3dDVpTAE5bR7HfM8GOUoRXRCaPm6iz3ZNik0mVZExlSqXoyHlCg+iSciI9Oq1mI60r0ZZaydGal+DLGPrhUKqpzJN5cOXiModJcvpSXj0iRg8JctpUodMWWbSstQTXaCkRO8E/lBWrUnXGIcqmsftI2/fvSMXTSoR3fXi12cHUk7kkCkl0uuCihGsQmURoTIoiq4nEm3w2UszPRecMoydw2WFQ+MsbB/fi0LiOLB/eKAfB7qhX+GHx8dHUlEUzJ+1pj9eC6Icd4j6ViO+UIpcK8jTo7rRgiutR44T5bJTsL4l4VJE9b59p02b4CzjOMpo6H7ih3fvmTYjr26veNofuB4GnLXMKaBywuXmElEIIdHk4bRuGHStsIt83rQLSq5dYo1MmNUJpd51H+zczrpz1w0lzcnUsLkTgRmtNQ+HaYUBOuvWXb+FoQpN1+bhsix0RX1gpNmqSK01+8dHYTVYW4V4ElTNhZwzxllSxXpLiiw5oo1hDh4f5YgdfOLrr7/m8XEnm1D8sNpf3xMtmgMyXp1rE0aTYuDu9hbIfPPNN7x69ZKcq+eXrroBFSeLKXF/f19dGKiniU/bhGuRUqg83w3zLF3u/dMTzlp6K4aLfonMS2AcLHopZ0pkr1694mf7mW+/fYf3ntvbF2wfdvhZ5DdLznL9VEFrMFpGt406jj/v9zsOhwNPT090Nz1ziZik1uv3nIZ2Spk7jec0qJiPjaZSCnk9wqs6MPRMzWylZdVKtYR6aj3XrJDxd01KJyew6lfYmnTNXTmpuFK9Cqleby9KZSHgJ8+yTHWTiSvG3OA9Xdfesiy8ffuDyEHOgWUOAq08w4fbc2z3vtZHZpa8hKq7wgm0WKf/ckk4twFKlY11+Nnz5s0bXr16RUqJu7s7+r7nyy+/5Fe/+pU8nnFnfnd/LD66CXeahGQCS6Oz4Lutbm8JyVpLWDuzuuoRnP01pOY9Lop2ZD97kqrhsLWFMUgiXrznm+/f0lnH1bDnZtjQd45OFyIZFRMmGlzXVKBE01NYBIGUhUsLUtS1zUNr6KwSRSitcVqvx3DR3hd0fvEBbZxQhNBylMyZGEUVrHNHPeRGV8n1eLfbPZGDvEnlRIglizyPJKeQCEnVE4MsnobXlVJFto0l+MQyB4bNKMmuHg9TKaSQmf1xJDTmxOxFZjLGyA/v3vHDdss8TXK8a4MRSrr3uQhunymr24iuuFvJWZ6rFr2AL16/4rvvvuP6ZiOjr+moRif0nJm725sVk++swytNCX/eYv3Lh/gZ+jBzOOzJxWOMItXn39sj1WiaJq42Hc6JDmxKCb9Ebl/e8eWXX/K4W9g+esZx5GrTE4jsDlPVQgBKqpt/7bKfMBjmWYwhl2VBvdgg6n6JnFn/FSZPKwaOmOYKB/wItHMqaQlHLHT9UOejwqeUQeBkou04zgxqbXbHHM8eI8Sm4ZvWBmFWctpE5QoxeEIUGl8IC372eO9pXNwQQ2XPyDllnhcet0/sdjsZlMnUAkWvDfB1FuFHknBrvJ1+z1Q2RKnf76zoppQikJrRYrIQ5oWrqyse7nfEGHl8fFx7Go+Pj8J02u8xytTX8JMnYMFkizoe723RBJWr9Yg5kqyrqn72vr6YcrY7rUmX8ypYesX1uK+OC0cpt+JmSdXjwzgwbq4oOTH7heXpwNg7bjqHXY9HBZuqV505igT1GlIRm3QAUzTGVCPR6vhslIjBlyATbEK3OuEON6xZaWYfVqqY1aaOPS7rm6+1WbUjmv23NW7FsYUIXoi1+p2jxxhL8rVySA1PixhTEDF6CGFmAJYQxNjRaNEFqMLXRStCUqLvmxJLDMQs1cm7+3vev78nlLh2nU+xu9QqheasqcUCSaoSRc4Rq6Bzhlcvbnj39gf8MtF3V4QYRHZT6zrlVKQDXg0QvY9Y5xhcx7yEVW7xU8T6yKXgOsPLl7fsD4/c3Yn109BFog94NaP65uPn2VcM3nYW63pCnER4XmlurjbsHg+UMPPiZiTpyjEOkXjCTtBao21lzRRJMt57drsdfon4JTC6Xvz/KoYfY2S/39OmOutTX6tj+fzHsPXza9wS7GkCPu0pPP8bp58+T24AKVtSPopfxdR8104GE5Kv97kk3BB9lYn066mtQYWlFJztV9+2/X7P2zcPTNO0OnobbYmhVGEgMWx43gR8TntrFX+rgJXW4qHXjB/El4Gxd3ROKJM3N9csy8LPvviMm5v9UaipPs52u6XrOq6vr9lPywen2z8UH60FkTn3pirI0dYaRTu5ni4Cay06RVJsVBFzlnTP/n79zhI8mOMYoDGGzthqf6JlpzIGq6RjabA410FKhJRYQmYJuVa1Ca3FTFRnDVU8gxSJuWArVkx1vpDRYREhsdbSKZkRlyOyqLE5p+UNByGJV+zXoGTqKUcRja83mrWmNg0R/eQKIWR1ctSv90bRBu0cKUYW3/zxRByl7dQxZZJKOKVJBXxMaGspSKLNMQoWjFSr03wcdnh4eKg6HZHD4SCQRpEErqmSnbmI/YxSlPq3BIpRq1KUqdfl5e0N/eDojCaUxPVmIMfIpvIl5dIeB3SmZWFYZkqRr4/DRib4+LQVcC0kCWHhZz//jH/4h/dsNhumaaK3jmla2MfC3Ytb9vs9SmkOexF6+mL8jBg94yg/37mBz1+/5OFhR/CREhfG3rHfK0iRcRjrZg5WZZRydCoSYyaExOFwYLvd8vDwwKubgeuxw7luxXhjjBX6QpplNjBWsabWDIJz48umX92qbK2ll0BjPFhDyWmViyyqYeNlzbxN7PDDSrusFS8cucF51ZROa2HmVK5wwyIOFSlwODwJRz/JvaF0Wfn0j4+PvH//fhW3WZZjY6tkqguPVL8UaSDCCfOCo7v0WlzQiiJ500uDShtDhbqhOU3XWYwupLDQDz3b7XY9BX3xxRcsy7LaEr1586YyIg5H6PRPxMdVwEoxLTOx68BY+t5xmKLcQPqcc1vkKqwYVcNYqynOB/DDelEblWWlQbeLndHNs03LuKZWMvwA0FkjCTAloWXFSA6xjkoWpvCEtZZx7ImlLbQgwxvGYKwSEQ6lUKEwuE0dVqgSkLpZsSB/d520kTdLF5HCpFYABrW+oVlEGwC5YQwiZdgWthyLKlaqZAy5KM3BByxHnmxam391V68E/JCTqERV+cuEQAeNr7zUKTqZnw/sdrv1mpqSWaIMZGhriKmpVGVCVuvpJUfxdjNGUWIAnXl5c8MXr19BjkyP78UtomKcSrEOvrRNpyV+qbxqJztlnDHizfeJYl2BqmCd4vb2huvrDd7LUIvRGmc1Rhvm2RNjxV2V8MNjEGU/bRS961jCzOvXL5mmhd/+5muuNx06Qu8M3hqWwyRslnofNZ6vDA7J+j8cDkzTjPex/v24Tr01bedpmqpb9khXaZCt+DltyLVkBGq1hc8nJ8xcjon4tLI9pbat9zT1rixlvXBrf6cpkUV/5Oaqtp4EHvDpOKmWU5I1XKmozScPYPe0Zbvdsn3YnVTqDf74cLOWYu0PFHan99mPwDPtRF7KkV3RGYUzGiWtSHKOaNOzHCaWRZx73rx5w93dHTc3N9ze3vLb3/4W7/3qqvzTsyAq/zFtjGAiIRBjAiUjwsuJWMfpRdJaY6hUrtT+1I9XPAkhjUuVLfinPtm9VC44rdCAU2LrYq0VdkIRalx//aIea6r+gZ8JPqDCsVq9dTLdk4r4SLkiyadhT34R7Lkteq+kcm7TRdJgrE+6Ca/nOq2kNEnr6p9WaISVVr23m/cMqDdC6QsprjYugYJzHZnqgFybHao+ZIyicYoXFw9puGV0lT8MIdBvRkyUkeNpEkv1sarDLUtkmieKsUd+6tlNxQpBOKBzMl8VQuDnn73CqcIPX3+Ns5q7m4H97hGljKjP+QL66GFmjBEeJ6XyM490qk+tCXxcieJ3l0vg5sU1Jcsmctg/rvRE72UqKyVxTg4u8u7dPePYs7kaKoXNMQ4dX3z2mseHLd9++4+kZLnejFVSsYhwkZGJOFlzR+5pynmtgg+HV/jrK3JCdA0qpapzDoquPFmhYQ3DsApGnZq4tqpZ66Pg+o/RKtuCXhMWUgHndR03oR35veeYssm54uVtHLlBWieYbEnif0jTXMjrRJ4xmt/87rdst9tVFEipo5GoVNrHgah8slbhT2svyHor0giFeuw5JuVc71+LxXTSmEeJzkZTRpurmJT3koRfv37N/f09KSWur6/XfNHWy5+Kj2dBaJHJGzvH7APDsGH2S+3cn4xJKuEialidVXXlDZ8m6R+7aO1CyPeOx524SFNDK9kKTcmyJGLAKos2guWkDNoI0yDnjLaGEUgprrPqgaZ7m+h6S4ziItwey2rwgE2WPrlVAzgbw2Caz51ADa2Sk41GGlapmlLCEVvSqjUrpWFRTm48kmBwojanIUgl6fORoyx0uKpwVY99rbMdUkQFc8TOjRbroZxZ9k+EEOicTAnFVB0ISqbvHDErQj7O1LeKKSWpekEaMEppnO34xRc/w2rFstvSW4MzmmWZUBVDda7Dh2ofo6oHWU1mndUiZGINfdcx9j3TtAic9NcQqmlAO+7fPzKOVuRKK5zkvcfZjmk6kBE+tDOArmL9CLPg4eGBzvb867/7W643V/y/33xLmBaBNfxuPaKWnHCmNrmsTK/lJF1/gSEeeXlzzTzP671lrSjJrep83hP9xH4vI919L3ohfd+fsSWMsSurp2G9p4XS84R6em+WIuJA7f8tqZ/+XPRLdZ6oWg+6mVqeDFrVDTnGVActJr77/vfsdo/SuDJtQz5VFaQ2zw2lhJPn0PBchJHzB/LvKewiFHqBVST/1MRcQJXm9ehAix6y1s3XUtdTSIdSsN/vef36NVdXV3jv2W63vH79GmMMb9++rTDVT96E4yx5CtPBoIKilHOTwNOf/7H//zlxWhO1ZoFccDnGt5Ak6uhtdcqoC1Xpo8Bzw3fbYrEklkUM9VKW0diW7LXWq7tHzke1tJZsO2PXBbw2FlsX+uTrqsrZKSPygKV1gtsp4GRBV3kMUIaUyrGCdd3Z1E/Ttzgd7yxF9CmME/0KN/RVbCcw+wXL+U1z2vlWVQypVQArdpbzsXNdykpsd07k+N59/x3LsvDq9gWawjRvGYZOGocn1ChljpOQ2snxeSqFTh1pQX+qcvnLR8OKerR6wdXNC0Lcs93eE0skm47SW1JlHWhjCTOEKaJsxHUZPRu001xfb8haYZzhMD/KprOJDHeG+/nA1d0LHpcdcUmkCCnAYC0b0xF15hAWMBAp7OcDu909h/01ty9e47Qjm7y68qr6vvW2pze2nkgj014U75YccE6es/cBPcqattbS6V6YOsYdJ7bSAWgYaFn/PTZlz6+abthwraZDnhAdwcpdj4IDA+vEXMpPNWHteHh4YLcTql/JqupeCNNjbQjXarWkXP3c1PrcdCliwVWKdJZUQRUxPY0pU5LIqquc0VnWvilFpvFKbToaK9TYlDBEVPFY03OYPHc3d3gf6LoB6zp2hwPXmxswAs0lZMLu+voa0znuH7eCratCIFMsoP74ye6jErAqhegj+rpnsAa17DHFkEzhUCy9tRwOHq2t4EpasNGGAfsQqo21WJOkUivkk+rHFuiVJi8Bd9Wvzq45Cwnel4Iqgsk6LbYpqExGEYto844pYZVMvlgKzrqKN4OyopqGSvTjgK0qaodpYRgGus5RUMyLGA12ThKiPyxiK45Cz8KqCJu87sDYSixPx+pho0dhP8Rzy/GWgU9PAGuVHwWEMcYy9D3b/ZMsdq3J3lMQY8h2vFlYxHtLFXQHzjhKEf1iFOQkeLC1FupGgharnKAK3kJJGrTU7m2zcaoQS0IfAmZ/YLDS/d9sev7x698QgzhpLPX4Z/UNBY3SjuAXilZkbUjAXPnAdwXG4QVPuxmlDSp5dAmYfsOsho9Zin+ZKJkYFva7R4be8uJm5HE7Cak+Z/p+lM1umnBKBgLmpx3us5/z+HBgtFd4naEEhrFDF8vT454cFf/is58TFwjZ8IvP/yVv3rxj59vIs8Y4hatMHKXFtHO327HbCSd4yR6dDSprOtMD524z6zi/Qty4bWEKE3u/X9kR5SCN5rTMHNKWoevJtfoDUUs7rX7PWANwhtO3guh0wy55WSGH9jdilAGLlWpWK/X908ThcEApffL7qkpDVrYVR5waBA5J8uDr53KirNgtoi1etECATfMklTpS3aZjq+ek0QqtrDweIt+ps5F5hvowYz9gKxFAN/gwBa7Hgc9fvWRwlk3fUWJgKZnvf/+PgKFJa/6p+KgEnIFkIWoozpCtqOsnEjkXbHVNpSQ6a5gWoUYZpJERKB9UxM+rn6g1i4JDCsQ2t61FSV8jcnWm6PWiZaXE8qbiWzGLCWDWipxVdSw+OrOWKF/zuR49Oo1FNCFyzkwh4BcPFGwp+JyxBRwaU4QHPKmAKZnNm7BiPpJAT5sWEFhOuMV6pb8AZ9VrS76n0phzOBBjZNgMtZkRsUrJmOU4srnuGYaBlFvVn1BRoZJU1ilV5DmBirWlnUFHRUZTisLg0CGxU9L0LGiSysQCS9bMKRGVoXvxitf9wG634+3bt8SQuHsxsNkMYl0DGGPp+445iIShtgZjFMsySwPLGJyWRlTfWQZnGHRGpUyYDgz20wnyCBCUURqshZwWOh25GgzzUyJGKCliigz3+LTgtCKkwLJf2N+/ZBxH7t8+cdVf0fUbio9YZXHaYroBs8DL4Yrv3+94Md6RbxUqWab9AeMcRpfa70D46Qo6q3l6emK/3xNVIptCIOJLWOmUwiOndqeOG3nWGTcKFryERay5/CSsIWOwWuHJq66DVRrfXZ9dlyM2Wkecy/HrcPRma/9qLRzfllBT1UrJJxhwiJlpDqI3bDr5eyC8aJVJRZHrB2cqMRWPPs0h6qRC15X6lqvOtzaSIypWnApkXUV/knxNFblnrdGUrJDyW6ZSu17jjGIce9G2rlz9sCxkXbi5uRH51ZWRUlY9GD1cy9Tin9FX/sgmXCFRmFNgCgaUmPZ1WhMzZyODJSeMkt2HIh1Uo8oqeLOu/GeRlSYUUZA6Y0IoEfpWaHTpMLLe0EXchLUSjm7RMk1WxyWEc1EQnqlSKH1ii10Uuur3FsS5QmlL14vThuClIjIUi7A9VC6YKHzenAoWhUWd4Wr1TmAhSLOxgC6aGM6NFpU6vryz47jsWECH17FWnuJF9fPhF1C1hhe/0DlN9IIntz611qIislYollr9FvG+0rKwfUQ2oiTeZ0klCrnOzGeM67i52pC15be/+zV+DpDh9qandx1hntEFetdhO8scFxa/yPhqkS1Sl1JNVqFTit5aeqOxFKxCrGVyQpdP14Rbo4j7hNOK4CfGwXF71XNYNPOc8cuB6+sXDL0l+IizEEKRJKo01onAUO+uiMljdObFzYbdbkfvI3dXPW/fvif5Jzqr2IwOrcbaVKsnPQoxZzSZkKQZPU0Lh92OsesE0qk47snyIeckFRwy9k4dXOiskcIlGg7bA7vdluClCboZHFpXLRVrie7Fug6fK641Zo881lGc6jRBlzLVCc2KC+dcj/VCPaMU0lLIPkBM6NKaywpytScqUomquh5UOW8WinQBJ/dRWT9EQL19LmJgSoHWmVIaEyNjjYVUnzsRUww5RXIKpOjJuTBuxrN7clnEdLZ5X97d3pJiFJnOeWaaJt6/f4/Rmq4bGIZNLS5/QksiVUAnSLMn1maUzRq5RpkpJfo6r76EgKk7S44BnZ+5SfDjFTCpTqJnMFGhTEYlhTXS4OrQaBYMBlsSthh0jrhabaBApRNrIWPEKNEcuYC5ZJbaANM5yhhoFWx39aKnIGO80viqcpX1yGOyCPHsR40xsvO3yrW9aUoJKfz0NRZ3HCOWBXTczY0RR5FGMxqGQSQnS8C544jnUqphpA3EIg2KBcEN22M9F2pZR1BzIRFQxpBKZmZhSR4dCqSFFCPJR5yGoVMUa1lK4etvv2EOQfjPNcmH4Bmsq/xocU6e67iosceBnGaH7r3HuB5TN8TjSUF+5q+BBZFjpqCkgekzfdfRjRuWHBn1Ne/evWNzVXBdz/4wYVwHOrE7bInFc3f3gvvHdxgXsVYqtt6MZAJdrxmy4e7lyMM+YKzmMN0TQmQcB3KWW9H1PYZCWDwoTS6G3TSxv3/kuhvZ2B4dBcaTZFdHlNs0XFZQjAwqVYqlM4br2w1pM3B/f8/7+zdM+yfevn8AlbFWZNqLercmNunvHLv5p44w7ettnWmlULomToLAcKWgS642XAlLwQfRiyaG+nmkM9UItgqrN4ola9X9jDJ2ms9qIk6VZ0wWNlO7xxt7I+eModA5Axgmq1C1yayK6GJ0o0FZSzdbXK2cbdfJwIdVJO/p3QBakvPdy88BmUh8eHggF8+79490XUeHhqJlNuFPxMclYODKWUpIkDVjP0hXNRd65YhdlWTUTUUJlDGMo2XxEdePpOXo/pqqzkE5Obp3COXJZY3GYBF+rykOaxTOjpD2WGswWtdRwTZmLAuuqxe+uKM7q2o4j9YoY+n0yaRPOc7EVz4+uj9iktoAp8In9df2qqmDyWromyZA3YRtkbHTU9eCU/nAvndrAl6pbfV5aK3RWTBxlkTlYEhjDKHo9VgIkS4fO93SKGu4mpxMD1GaFgZNyhZVFEtMuCXj58h+lumqmDPaWTad5eH9jmma2PlCThPGOrQ2bMYelYRBkZQSTjYaXwqp3pypFGIWYn7XdXWhbjC9iJsnFCjN7mnH1a0Da6p1zKcJ4aRrlOvxPmPdFdoUcipgC7YXzQw3XvE0RzbjNaa7rowaw5IPog42a9Twgu1hYtz0WJ0pSwK3YT/vSEbz8vMveIzfkZdEf9MTtpHt08zVMFDQHA4TPoq7yBwLUy7MHr774YF+vOXqRmOjTKM6ZXHGoS2QxQetkIipEGOmqwaa8ho1DC+4/dk1arzhabclv3/Lfret/G6DLR5pyFLvF/n9XDRkgfu0koJLw6oqpmhfV3LarR+5xAp3parzW5h9IVQ52qy0sD6qXm8uQlPMJa/47vM5gfRsn27rPCUopZo7VKw41/c2Vg5021iSKWRlKFomShOBx2mSDWAUzrayWtaqEreQmBQhea6vXvCLf/Ulb95v+fLLL/n2229xzvGwO7B9mnj1aqyTrsci6I/FxyVgpdGmI6aFYgfmIgaRSRWWFNF2IPtqiKkih2nBaM0cAt0gGGLTc5Dyv1JOOErnpRJRyJuUlCIqxaIMRovlOrpHmwqoGyuQhdZEbYjW4pp1izkZqVSsc+7yOhQxpXVSqw06tDfIGIPOH9qCrzhuDT2fjxvqco5jdkUslwwGp8WavYmuaDT2ZHJQ1eti6luycmRLtyZXVK6aAbWJVyuEXBXTqNhbTJwl5BSd4HeV+qS1htShc4dOlkOXWPKMGzqy0mx3T0w4ZqUIKpPcgLMOTeEwR643g1Q5VguntRQOzd6+NA87QFuM6+t7oJjrjjCXIhWbczz5yCFo6MePWYo/aah2TCyg9cC7hwmlE/MSWYJsZktUMNwwzTMaQ+6uCFEaHKaXYmOfNMyFg5/p9llgOCMayCoVfEz4VMDektPMzY2j72/IKbDpbsFonhYveCUwOAvOsQ+FvJuZfvd7vn67xVpbbbGOR+RSwpGtcNJbaN83xpBUWk9qKUSmw56pJZ5csPa8yXb60VhFp19rEMWxMDmhqa0jwXn92WWZIB1tjJp4TsnHU2JsxdNa+Z5vzOXZPl2K9DNyrvf2Ce2u5ZSzRmEp5EYts0646mWhOEcKmWIz461QK03XCesC0L2CBLEY3m0PHA4H/K+/XkfC5zkx3rwCOx4xc31kS/2h+LhRZAXdizteXg346OmGfgX8VSr0uqcYizaWrmS6q4wymk3VTBiub7EnO1quNK1WAQMkBZqMK4m46WUHdI5FaSwa7cWiXmuNVQjmRcKqglH5g4WxTvucdVOhnAiHfJBYtUbFJuF4XHRQNXXrIunzH6/amkrWOojAUR5T+IYf/v4pzU8S8DNx64ptrR3qoteN5OznTv4NRVTaNHX4w2gwGm0Mh2CYoiEGMFG0X30c8UNP6aGETLETn/UDsTJDnK3OCXUcvJBg9uKOXW/+JqDUeKoArgM1XnHz2eeMFmwJaNPx9O6J//rf/vufPT//l4j5EBh6x3/6z/+F27uOogNoB2xAhZrIamc/NMFtucEyMs0lJ+eMKrqOu0OzrDI6iHBSAWM74byS0UrkWrWWk1FUllihKZUiKieU9/jm4Hua8NSxmFEcx16fQ30tAa/81+oIviwVyqunM5/DB793VrSoc4GbU3fmUgrElnBOqr7VhaY2wE4SqlLt9080w83xsX/stfzYsNvpz+ZyfL4t2jTues2y6FFQJD+Isl8b9oCS51pDF0qOdYgIFJaUCtrps+tyCvuVUtD49bwAAAG8SURBVLgbB95vt/zbr/7dh0/2WXxUAn5xe8e//4//gU4ryrLgrBHVrNr4GmP1/NKiS9sNI9OyYFwn6lHX1+TlcLwwVVcCfezozrYWr37GKbkArapVyhBLRiHHWiFPy79aqWrNXchWhhBaosvqw36f+ZGNqSUwpdR6YZowELCqJa2c2md/4/li8ZxXC3BUoJJfOJlrf7bg1g53ao2Q427ehgWkyWDWiqJ9/3TXld3fVgii4oV9TZRaUYzmel/tkjhRsqIOYZiOjMIhlXP0c91QTgS/lYiitM+VEom/WHU31oonTOBGEgqnEjothJhY9BXJbvhf//N/fPim/BPE3//9378dr7rffZIHv8Q/h/ibP/QN9TEk+K+++qr88pe//Eme0SUu8Ty++uorfvnLX346MPgSl/gnjo9KwEqpN8ClUrjEXyr+ppTy+ad+Epe4xD9VfFQCvsQlLnGJS/x08VeigHKJS1ziEv/84pKAL3GJS1ziE8UlAV/iEpe4xCeKSwK+xCUucYlPFJcEfIlLXOISnyguCfgSl7jEJT5RXBLwJS5xiUt8orgk4Etc4hKX+ERxScCXuMQlLvGJ4v8D2rGJLb1rqjsAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cosine similarity: 0.2544904947280884\n", + "They are same person\n" + ] + } + ], + "source": [ + "# Let's compare two faces images of Angelina Jolie\n", + "verifyFace(\"angelina.jpg\", \"angelina2.jpg\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cosine similarity: 0.4739535450935364\n", + "They are not same person!\n" + ] + } + ], + "source": [ + "# Let's now compare it to the Friends character Monica, it should return that these are two different people\n", + "verifyFace(\"angelina.jpg\", \"Monica.jpg\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cosine similarity: 0.7327100932598114\n", + "They are not same person!\n" + ] + } + ], + "source": [ + "# Let's try it with Rachel\n", + "verifyFace(\"angelina.jpg\", \"Rachel.jpg\")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cosine similarity: 0.6882018446922302\n", + "They are not same person!\n" + ] + } + ], + "source": [ + "# And now Pheobe\n", + "verifyFace(\"angelina.jpg\", \"Pheobe.jpg\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cosine similarity: 0.38444697856903076\n", + "They are same person\n" + ] + } + ], + "source": [ + "# Now let's try it with another image of Angelina Jolie\n", + "verifyFace(\"angelina.jpg\", \"angelina3.jpg\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### There we see that our Face Matcher is working quite well as it's able to distinguish Angelina Jolie from other actresses" + ] + } + ], + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/25. Face Recognition/.ipynb_checkpoints/25.3 Face Recogition - One Shot Learning-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/25.3 Face Recogition - One Shot Learning-checkpoint.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..e5b71ea7cf46e0cf69e3448c7dfbca16bdbd13d4 --- /dev/null +++ b/25. Face Recognition/.ipynb_checkpoints/25.3 Face Recogition - One Shot Learning-checkpoint.ipynb @@ -0,0 +1,406 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Extract faces from pictures of people \n", + "### Instrutions:\n", + "- Place photos of people (one face visible) in the folder called \"./people\"\n", + "- Replace my photo titled \"Rajeev.jpg\" with a piture of your face for testing on a webcam\n", + "- Faces are extracted using the haarcascade_frontalface_default detector model\n", + "- Extracted faces are placed in the folder called \"./group_of_faces\"\n", + "#### We are extracting the faces needed for our one-shot learning model, it will load 5 extracted faces" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collected image names\n" + ] + } + ], + "source": [ + "# The code below extracts faces from images and places them in the folder\n", + "from os import listdir\n", + "from os.path import isfile, join\n", + "import cv2\n", + "\n", + "# Loading out HAARCascade Face Detector \n", + "face_detector = cv2.CascadeClassifier('Haarcascades/haarcascade_frontalface_default.xml')\n", + "\n", + "# Directory of image of persons we'll be extracting faces frommy\n", + "mypath = \"./people/\"\n", + "image_file_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]\n", + "print(\"Collected image names\")\n", + "\n", + "for image_name in image_file_names:\n", + " person_image = cv2.imread(mypath+image_name)\n", + " face_info = face_detector.detectMultiScale(person_image, 1.3, 5)\n", + " for (x,y,w,h) in face_info:\n", + " face = person_image[y:y+h, x:x+w]\n", + " roi = cv2.resize(face, (128, 128), interpolation = cv2.INTER_CUBIC)\n", + " path = \"./group_of_faces/\" + \"face_\" + image_name \n", + " cv2.imwrite(path, roi)\n", + " cv2.imshow(\"face\", roi)\n", + " \n", + " cv2.waitKey(0)\n", + "cv2.destroyAllWindows()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Load our VGGFaceModel \n", + "- This block of code defines the VGGFace model (which we use later) and loads the model" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model Loaded\n" + ] + } + ], + "source": [ + "#author Sefik Ilkin Serengil\n", + "#you can find the documentation of this code from the following link: https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", + "\n", + "import numpy as np\n", + "import cv2\n", + "\n", + "from tensorflow.keras.models import Model, Sequential\n", + "from tensorflow.keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", + "from PIL import Image\n", + "from tensorflow.keras.preprocessing.image import load_img, save_img, img_to_array\n", + "from tensorflow.keras.applications.imagenet_utils import preprocess_input\n", + "from tensorflow.keras.preprocessing import image\n", + "import matplotlib.pyplot as plt\n", + "from os import listdir\n", + "\n", + "def preprocess_image(image_path):\n", + " \"\"\"Loads image from path and resizes it\"\"\"\n", + " img = load_img(image_path, target_size=(224, 224))\n", + " img = img_to_array(img)\n", + " img = np.expand_dims(img, axis=0)\n", + " img = preprocess_input(img)\n", + " return img\n", + "\n", + "model = Sequential()\n", + "model.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", + "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(Convolution2D(4096, (7, 7), activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Convolution2D(4096, (1, 1), activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Convolution2D(2622, (1, 1)))\n", + "model.add(Flatten())\n", + "model.add(Activation('softmax'))\n", + "\n", + "#you can download pretrained weights from https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", + "from tensorflow.keras.models import model_from_json\n", + "model.load_weights('vgg_face_weights.h5')\n", + "\n", + "vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)\n", + "\n", + "model = vgg_face_descriptor\n", + "\n", + " \n", + "print(\"Model Loaded\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Test model using your Webcam\n", + "This code looks up the faces you extracted in the \"group_of_faces\" folder and uses the similarity (Cosine Similarity) to detect which faces is most similar to the one being extracted with your webcam." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Face representations retrieved successfully\n" + ] + } + ], + "source": [ + "#points to your extracted faces\n", + "people_pictures = \"./group_of_faces/\"\n", + "\n", + "all_people_faces = dict()\n", + "\n", + "for file in listdir(people_pictures):\n", + " person_face, extension = file.split(\".\")\n", + " all_people_faces[person_face] = model.predict(preprocess_image('./group_of_faces/%s.jpg' % (person_face)))[0,:]\n", + "\n", + "print(\"Face representations retrieved successfully\")\n", + "\n", + "def findCosineSimilarity(source_representation, test_representation):\n", + " a = np.matmul(np.transpose(source_representation), test_representation)\n", + " b = np.sum(np.multiply(source_representation, source_representation))\n", + " c = np.sum(np.multiply(test_representation, test_representation))\n", + " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", + "\n", + "#Open Webcam\n", + "cap = cv2.VideoCapture(0) \n", + "\n", + "while(True):\n", + " ret, img = cap.read()\n", + " faces = face_detector.detectMultiScale(img, 1.3, 5)\n", + "\n", + " for (x,y,w,h) in faces:\n", + " if w > 100: #Adjust accordingly if your webcam resoluation is higher\n", + " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #draw rectangle to main image\n", + " detected_face = img[int(y):int(y+h), int(x):int(x+w)] #crop detected face\n", + " detected_face = cv2.resize(detected_face, (224, 224)) #resize to 224x224\n", + "\n", + " img_pixels = image.img_to_array(detected_face)\n", + " img_pixels = np.expand_dims(img_pixels, axis = 0)\n", + " img_pixels /= 255\n", + "\n", + " captured_representation = model.predict(img_pixels)[0,:]\n", + "\n", + " found = 0\n", + " for i in all_people_faces:\n", + " person_name = i\n", + " representation = all_people_faces[i]\n", + "\n", + " similarity = findCosineSimilarity(representation, captured_representation)\n", + " if(similarity < 0.30):\n", + " cv2.putText(img, person_name[5:], (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)\n", + " found = 1\n", + " break\n", + "\n", + " #connect face and text\n", + " cv2.line(img,(int((x+x+w)/2),y+15),(x+w,y-20),(255, 0, 0),1)\n", + " cv2.line(img,(x+w,y-20),(x+w+10,y-20),(255, 0, 0),1)\n", + "\n", + " if(found == 0): #if found image is not in our people database\n", + " cv2.putText(img, 'unknown', (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)\n", + "\n", + " cv2.imshow('img',img)\n", + "\n", + " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", + " break\n", + " \n", + "cap.release()\n", + "cv2.destroyAllWindows()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Test on a video\n", + "### Since we're using the Friends TV Series characters, let's extract the faces from the images I placed in the \"./friends\" folder" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collected image names\n" + ] + } + ], + "source": [ + "from os import listdir\n", + "from os.path import isfile, join\n", + "import cv2\n", + "\n", + "# Loading out HAARCascade Face Detector \n", + "face_detector = cv2.CascadeClassifier('Haarcascades/haarcascade_frontalface_default.xml')\n", + "\n", + "# Directory of image of persons we'll be extracting faces frommy\n", + "mypath = \"./friends/\"\n", + "image_file_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]\n", + "print(\"Collected image names\")\n", + "\n", + "for image_name in image_file_names:\n", + " person_image = cv2.imread(mypath+image_name)\n", + " face_info = face_detector.detectMultiScale(person_image, 1.3, 5)\n", + " for (x,y,w,h) in face_info:\n", + " face = person_image[y:y+h, x:x+w]\n", + " roi = cv2.resize(face, (128, 128), interpolation = cv2.INTER_CUBIC)\n", + " path = \"./friends_faces/\" + \"face_\" + image_name \n", + " cv2.imwrite(path, roi)\n", + " cv2.imshow(\"face\", roi)\n", + " \n", + " cv2.waitKey(0)\n", + "cv2.destroyAllWindows()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Again, we load our faces from the \"friends_faces\" directory and we run our face classifier model our test video" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Face representations retrieved successfully\n" + ] + } + ], + "source": [ + "#points to your extracted faces\n", + "people_pictures = \"./friends_faces/\"\n", + "\n", + "all_people_faces = dict()\n", + "\n", + "for file in listdir(people_pictures):\n", + " person_face, extension = file.split(\".\")\n", + " all_people_faces[person_face] = model.predict(preprocess_image('./friends_faces/%s.jpg' % (person_face)))[0,:]\n", + "\n", + "print(\"Face representations retrieved successfully\")\n", + "\n", + "def findCosineSimilarity(source_representation, test_representation):\n", + " a = np.matmul(np.transpose(source_representation), test_representation)\n", + " b = np.sum(np.multiply(source_representation, source_representation))\n", + " c = np.sum(np.multiply(test_representation, test_representation))\n", + " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", + "\n", + "cap = cv2.VideoCapture('testfriends.mp4')\n", + "\n", + "while(True):\n", + " ret, img = cap.read()\n", + " img = cv2.resize(img, (320, 180)) # Re-size video to as smaller size to improve face detection speed\n", + " faces = face_detector.detectMultiScale(img, 1.3, 5)\n", + "\n", + " for (x,y,w,h) in faces:\n", + " if w > 13: \n", + " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #draw rectangle to main image\n", + "\n", + " detected_face = img[int(y):int(y+h), int(x):int(x+w)] #crop detected face\n", + " detected_face = cv2.resize(detected_face, (224, 224)) #resize to 224x224\n", + "\n", + " img_pixels = image.img_to_array(detected_face)\n", + " img_pixels = np.expand_dims(img_pixels, axis = 0)\n", + " img_pixels /= 255\n", + "\n", + " captured_representation = model.predict(img_pixels)[0,:]\n", + "\n", + " found = 0\n", + " for i in all_people_faces:\n", + " person_name = i\n", + " representation = all_people_faces[i]\n", + "\n", + " similarity = findCosineSimilarity(representation, captured_representation)\n", + " if(similarity < 0.30):\n", + " cv2.putText(img, person_name[5:], (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)\n", + " found = 1\n", + " break\n", + "\n", + " #connect face and text\n", + " cv2.line(img,(int((x+x+w)/2),y+15),(x+w,y-20),(255, 0, 0),1)\n", + " cv2.line(img,(x+w,y-20),(x+w+10,y-20),(255, 0, 0),1)\n", + "\n", + " if(found == 0): #if found image is not in our people database\n", + " cv2.putText(img, 'unknown', (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)\n", + "\n", + " cv2.imshow('img',img)\n", + " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", + " break\n", + "\n", + "#kill open cv things\n", + "cap.release()\n", + "cv2.destroyAllWindows()" + ] + }, + { + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/25. Face Recognition/.ipynb_checkpoints/Face Recogition - Matching Faces-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/Face Recogition - Matching Faces-checkpoint.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..2fd64429bf421126b7000c94ce0f6fd186fbd01f --- /dev/null +++ b/25. Face Recognition/.ipynb_checkpoints/Face Recogition - Matching Faces-checkpoint.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/25. Face Recognition/.ipynb_checkpoints/Face Recogition - One Shot Learning-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/Face Recogition - One Shot Learning-checkpoint.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..a79e2e1f10078ea3c76fe053fa21f645f43b2f85 --- /dev/null +++ b/25. Face Recognition/.ipynb_checkpoints/Face Recogition - One Shot Learning-checkpoint.ipynb @@ -0,0 +1,390 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + } + ], + "source": [ + "from keras.models import Model, Sequential\n", + "from keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", + "from PIL import Image\n", + "import numpy as np\n", + "from keras.preprocessing.image import load_img, save_img, img_to_array\n", + "from keras.applications.imagenet_utils import preprocess_input\n", + "from keras.preprocessing import image\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "model = Sequential()\n", + "model.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", + "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(ZeroPadding2D((1,1)))\n", + "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "model.add(Convolution2D(4096, (7, 7), activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Convolution2D(4096, (1, 1), activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Convolution2D(2622, (1, 1)))\n", + "model.add(Flatten())\n", + "model.add(Activation('softmax'))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "#you can download the pretrained weights from the following link \n", + "#https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", + "#or you can find the detailed documentation https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", + "\n", + "from keras.models import model_from_json\n", + "model.load_weights('vgg_face_weights.h5')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def preprocess_image(image_path):\n", + " img = load_img(image_path, target_size=(224, 224))\n", + " img = img_to_array(img)\n", + " img = np.expand_dims(img, axis=0)\n", + " img = preprocess_input(img)\n", + " return img\n", + "\n", + "def findCosineSimilarity(source_representation, test_representation):\n", + " a = np.matmul(np.transpose(source_representation), test_representation)\n", + " b = np.sum(np.multiply(source_representation, source_representation))\n", + " c = np.sum(np.multiply(test_representation, test_representation))\n", + " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", + "\n", + "def findEuclideanDistance(source_representation, test_representation):\n", + " euclidean_distance = source_representation - test_representation\n", + " euclidean_distance = np.sum(np.multiply(euclidean_distance, euclidean_distance))\n", + " euclidean_distance = np.sqrt(euclidean_distance)\n", + " return euclidean_distance\n", + "\n", + "vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "epsilon = 0.40\n", + "\n", + "def verifyFace(img1, img2):\n", + " img1_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img1)))[0,:]\n", + " img2_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img2)))[0,:]\n", + " \n", + " cosine_similarity = findCosineSimilarity(img1_representation, img2_representation)\n", + " euclidean_distance = findEuclideanDistance(img1_representation, img2_representation)\n", + " \n", + " print(\"Cosine similarity: \",cosine_similarity)\n", + " print(\"Euclidean distance: \",euclidean_distance)\n", + " \n", + " if(cosine_similarity < epsilon):\n", + " print(\"verified... they are same person\")\n", + " else:\n", + " print(\"unverified! they are not same person!\")\n", + " \n", + " f = plt.figure()\n", + " f.add_subplot(1,2, 1)\n", + " plt.imshow(image.load_img('./training_faces/%s' % (img1)))\n", + " plt.xticks([]); plt.yticks([])\n", + " f.add_subplot(1,2, 2)\n", + " plt.imshow(image.load_img('./training_faces/%s' % (img2)))\n", + " plt.xticks([]); plt.yticks([])\n", + " plt.show(block=True)\n", + " print(\"-----------------------------------------\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cosine similarity: 0.2544904947280884\n", + "Euclidean distance: 117.61526\n", + "verified... they are same person\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-----------------------------------------\n" + ] + } + ], + "source": [ + "verifyFace(\"angelina.jpg\", \"angelina2.jpg\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "employee representations retrieved successfully\n" + ] + } + ], + "source": [ + "#author Sefik Ilkin Serengil\n", + "#you can find the documentation of this code from the following link: https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", + "\n", + "import numpy as np\n", + "import cv2\n", + "\n", + "from keras.models import Model, Sequential\n", + "from keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", + "from PIL import Image\n", + "from keras.preprocessing.image import load_img, save_img, img_to_array\n", + "from keras.applications.imagenet_utils import preprocess_input\n", + "from keras.preprocessing import image\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from os import listdir\n", + "#-----------------------\n", + "\n", + "color = (67,67,67)\n", + "\n", + "#face_cascade = cv2.CascadeClassifier('C:/Users/IS96273/AppData\\Local/Continuum/anaconda3/pkgs/opencv-3.3.1-py35h20b85fd_1/Library/etc/haarcascades/haarcascade_frontalface_default.xml')\n", + "face_cascade = cv2.CascadeClassifier('./Haarcascades/haarcascade_frontalface_default.xml')\n", + "\n", + "def preprocess_image(image_path):\n", + " img = load_img(image_path, target_size=(224, 224))\n", + " img = img_to_array(img)\n", + " img = np.expand_dims(img, axis=0)\n", + " img = preprocess_input(img)\n", + " return img\n", + "\n", + "def loadVggFaceModel():\n", + "\tmodel = Sequential()\n", + "\tmodel.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", + "\tmodel.add(Convolution2D(64, (3, 3), activation='relu'))\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(64, (3, 3), activation='relu'))\n", + "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(128, (3, 3), activation='relu'))\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(128, (3, 3), activation='relu'))\n", + "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(256, (3, 3), activation='relu'))\n", + "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "\tmodel.add(ZeroPadding2D((1,1)))\n", + "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", + "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", + "\n", + "\tmodel.add(Convolution2D(4096, (7, 7), activation='relu'))\n", + "\tmodel.add(Dropout(0.5))\n", + "\tmodel.add(Convolution2D(4096, (1, 1), activation='relu'))\n", + "\tmodel.add(Dropout(0.5))\n", + "\tmodel.add(Convolution2D(2622, (1, 1)))\n", + "\tmodel.add(Flatten())\n", + "\tmodel.add(Activation('softmax'))\n", + "\t\n", + "\t#you can download pretrained weights from https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", + "\tfrom keras.models import model_from_json\n", + "\tmodel.load_weights('vgg_face_weights.h5')\n", + "\t\n", + "\tvgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)\n", + "\t\n", + "\treturn vgg_face_descriptor\n", + "\n", + "model = loadVggFaceModel()\n", + "\n", + "#------------------------\n", + "\n", + "#put your employee pictures in this path as name_of_employee.jpg\n", + "employee_pictures = \"./group_of_faces/\"\n", + "\n", + "employees = dict()\n", + "\n", + "for file in listdir(employee_pictures):\n", + "\temployee, extension = file.split(\".\")\n", + "\temployees[employee] = model.predict(preprocess_image('./group_of_faces/%s.jpg' % (employee)))[0,:]\n", + "\t\n", + "print(\"employee representations retrieved successfully\")\n", + "\n", + "def findCosineSimilarity(source_representation, test_representation):\n", + " a = np.matmul(np.transpose(source_representation), test_representation)\n", + " b = np.sum(np.multiply(source_representation, source_representation))\n", + " c = np.sum(np.multiply(test_representation, test_representation))\n", + " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", + "\n", + "#------------------------\n", + "\n", + "cap = cv2.VideoCapture(0) #webcam\n", + "#cap = cv2.VideoCapture('C:/Users/IS96273/Desktop/zuckerberg.mp4') #video\n", + "\n", + "while(True):\n", + "\tret, img = cap.read()\n", + "\t#img = cv2.resize(img, (640, 360))\n", + "\tfaces = face_cascade.detectMultiScale(img, 1.3, 5)\n", + "\t\n", + "\tfor (x,y,w,h) in faces:\n", + "\t\tif w > 130: \n", + "\t\t\t#cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #draw rectangle to main image\n", + "\t\t\t\n", + "\t\t\tdetected_face = img[int(y):int(y+h), int(x):int(x+w)] #crop detected face\n", + "\t\t\tdetected_face = cv2.resize(detected_face, (224, 224)) #resize to 224x224\n", + "\t\t\t\n", + "\t\t\timg_pixels = image.img_to_array(detected_face)\n", + "\t\t\timg_pixels = np.expand_dims(img_pixels, axis = 0)\n", + "\t\t\timg_pixels /= 255\n", + "\t\t\t\n", + "\t\t\tcaptured_representation = model.predict(img_pixels)[0,:]\n", + "\t\t\t\n", + "\t\t\tfound = 0\n", + "\t\t\tfor i in employees:\n", + "\t\t\t\temployee_name = i\n", + "\t\t\t\trepresentation = employees[i]\n", + "\t\t\t\t\n", + "\t\t\t\tsimilarity = findCosineSimilarity(representation, captured_representation)\n", + "\t\t\t\tif(similarity < 0.30):\n", + "\t\t\t\t\tcv2.putText(img, employee_name, (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, color, 2)\n", + "\t\t\t\t\t\n", + "\t\t\t\t\tfound = 1\n", + "\t\t\t\t\tbreak\n", + "\t\t\t\t\t\n", + "\t\t\t#connect face and text\n", + "\t\t\tcv2.line(img,(int((x+x+w)/2),y+15),(x+w,y-20),color,1)\n", + "\t\t\tcv2.line(img,(x+w,y-20),(x+w+10,y-20),color,1)\n", + "\t\t\n", + "\t\t\tif(found == 0): #if found image is not in employee database\n", + "\t\t\t\tcv2.putText(img, 'unknown', (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, color, 2)\n", + "\t\n", + "\tcv2.imshow('img',img)\n", + "\t\n", + "\tif cv2.waitKey(1) & 0xFF == ord('q'): #press q to quit\n", + "\t\tbreak\n", + "\t\n", + "#kill open cv things\t\t\n", + "cap.release()\n", + "cv2.destroyAllWindows()" + ] + }, + { + "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": "3.6.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/25. 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Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.1 - Handwritten Digit Classification Demo (MNIST)-checkpoint.ipynb @@ -0,0 +1,327 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's load a Handwritten Digit classifier we'll be building very soon!" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import cv2\n", + "import numpy as np\n", + "from keras.datasets import mnist\n", + "from keras.models import load_model\n", + "\n", + "classifier = load_model('/home/deeplearningcv/DeepLearningCV/Trained Models/mnist_simple_cnn.h5')\n", + "\n", + "# loads the MNIST dataset\n", + "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", + "\n", + "def draw_test(name, pred, input_im):\n", + " BLACK = [0,0,0]\n", + " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0] ,cv2.BORDER_CONSTANT,value=BLACK)\n", + " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", + " cv2.putText(expanded_image, str(pred), (152, 70) , cv2.FONT_HERSHEY_COMPLEX_SMALL,4, (0,255,0), 2)\n", + " cv2.imshow(name, expanded_image)\n", + "\n", + "for i in range(0,10):\n", + " rand = np.random.randint(0,len(x_test))\n", + " input_im = x_test[rand]\n", + "\n", + " imageL = cv2.resize(input_im, None, fx=4, fy=4, interpolation = cv2.INTER_CUBIC) \n", + " input_im = input_im.reshape(1,28,28,1) \n", + " \n", + " ## Get Prediction\n", + " res = str(classifier.predict_classes(input_im, 1, verbose = 0)[0])\n", + " draw_test(\"Prediction\", res, imageL) \n", + " cv2.waitKey(0)\n", + "\n", + "cv2.destroyAllWindows()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'<' not supported between instances of 'NoneType' and 'NoneType'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 23\u001b[0m \u001b[0;31m#Sort out contours left to right by using their x cordinates\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 24\u001b[0;31m \u001b[0mcontours\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcontours\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx_cord_contour\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreverse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[0;31m# Create empty array to store entire number\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: '<' not supported between instances of 'NoneType' and 'NoneType'" + ] + } + ], + "source": [ + "import numpy as np\n", + "import cv2\n", + "from preprocessors import x_cord_contour, makeSquare, resize_to_pixel\n", + "\n", + "image = cv2.imread('images/numbers.jpg')\n", + "gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)\n", + "cv2.imshow(\"image\", image)\n", + "cv2.imshow(\"gray\", gray)\n", + "cv2.waitKey(0)\n", + "\n", + "# Blur image then find edges using Canny \n", + "blurred = cv2.GaussianBlur(gray, (5, 5), 0)\n", + "cv2.imshow(\"blurred\", blurred)\n", + "cv2.waitKey(0)\n", + "\n", + "edged = cv2.Canny(blurred, 30, 150)\n", + "cv2.imshow(\"edged\", edged)\n", + "cv2.waitKey(0)\n", + "\n", + "# Fint Contours\n", + "_, contours, _ = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n", + "\n", + "#Sort out contours left to right by using their x cordinates\n", + "contours = sorted(contours, key = x_cord_contour, reverse = False)\n", + "\n", + "# Create empty array to store entire number\n", + "full_number = []\n", + "\n", + "# loop over the contours\n", + "for c in contours:\n", + " # compute the bounding box for the rectangle\n", + " (x, y, w, h) = cv2.boundingRect(c) \n", + " \n", + " #cv2.drawContours(image, contours, -1, (0,255,0), 3)\n", + " #cv2.imshow(\"Contours\", image)\n", + "\n", + " if w >= 5 and h >= 25:\n", + " roi = blurred[y:y + h, x:x + w]\n", + " ret, roi = cv2.threshold(roi, 127, 255,cv2.THRESH_BINARY_INV)\n", + " squared = makeSquare(roi)\n", + " final = resize_to_pixel(20, squared)\n", + " cv2.imshow(\"final\", final)\n", + " final_array = final.reshape((1,400))\n", + " final_array = final_array.astype(np.float32)\n", + " #ret, result, neighbours, dist = knn.find_nearest(final_array, k=1)\n", + " #number = str(int(float(result[0])))\n", + " #full_number.append(number)\n", + " # draw a rectangle around the digit, the show what the\n", + " # digit was classified as\n", + " #cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)\n", + " #cv2.putText(image, number, (x , y + 155),\n", + " # cv2.FONT_HERSHEY_COMPLEX, 2, (255, 0, 0), 2)\n", + " cv2.imshow(\"image\", image)\n", + " cv2.waitKey(0) \n", + " \n", + "cv2.destroyAllWindows()\n", + "print (\"The number is: \" + ''.join(full_number))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "cv2.destroyAllWindows()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x_train shape: (60000, 28, 28, 1)\n", + "60000 train samples\n", + "10000 test samples\n", + "Number of Classes: 10\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d_1 (Conv2D) (None, 26, 26, 32) 320 \n", + "_________________________________________________________________\n", + "conv2d_2 (Conv2D) (None, 24, 24, 64) 18496 \n", + "_________________________________________________________________\n", + "max_pooling2d_1 (MaxPooling2 (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "dropout_1 (Dropout) (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "flatten_1 (Flatten) (None, 9216) 0 \n", + "_________________________________________________________________\n", + "dense_1 (Dense) (None, 128) 1179776 \n", + "_________________________________________________________________\n", + "dropout_2 (Dropout) (None, 128) 0 \n", + "_________________________________________________________________\n", + "dense_2 (Dense) (None, 10) 1290 \n", + "=================================================================\n", + "Total params: 1,199,882\n", + "Trainable params: 1,199,882\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n", + "Train on 60000 samples, validate on 10000 samples\n", + "Epoch 1/5\n", + "60000/60000 [==============================] - 189s 3ms/step - loss: 0.2667 - acc: 0.9187 - val_loss: 0.0556 - val_acc: 0.9819\n", + "Epoch 2/5\n", + "60000/60000 [==============================] - 170s 3ms/step - loss: 0.0889 - acc: 0.9740 - val_loss: 0.0396 - val_acc: 0.9864\n", + "Epoch 3/5\n", + "60000/60000 [==============================] - 192s 3ms/step - loss: 0.0670 - acc: 0.9805 - val_loss: 0.0350 - val_acc: 0.9884\n", + "Epoch 4/5\n", + "60000/60000 [==============================] - 194s 3ms/step - loss: 0.0553 - acc: 0.9838 - val_loss: 0.0321 - val_acc: 0.9897\n", + "Epoch 5/5\n", + "60000/60000 [==============================] - 204s 3ms/step - loss: 0.0464 - acc: 0.9856 - val_loss: 0.0282 - val_acc: 0.9907\n", + "Test loss: 0.028205487172584982\n", + "Test accuracy: 0.9907\n" + ] + } + ], + "source": [ + "from keras.datasets import mnist\n", + "from keras.utils import np_utils\n", + "import keras\n", + "from keras.datasets import mnist\n", + "from keras.models import Sequential\n", + "from keras.layers import Dense, Dropout, Flatten\n", + "from keras.layers import Conv2D, MaxPooling2D\n", + "from keras import backend as K\n", + "\n", + "# Training Parameters\n", + "batch_size = 128\n", + "epochs = 5\n", + "\n", + "# loads the MNIST dataset\n", + "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", + "\n", + "# Lets store the number of rows and columns\n", + "img_rows = x_train[0].shape[0]\n", + "img_cols = x_train[1].shape[0]\n", + "\n", + "# Getting our date in the right 'shape' needed for Keras\n", + "# We need to add a 4th dimenion to our date thereby changing our\n", + "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", + "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", + "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", + "\n", + "# store the shape of a single image \n", + "input_shape = (img_rows, img_cols, 1)\n", + "\n", + "# change our image type to float32 data type\n", + "x_train = x_train.astype('float32')\n", + "x_test = x_test.astype('float32')\n", + "\n", + "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", + "x_train /= 255\n", + "x_test /= 255\n", + "\n", + "print('x_train shape:', x_train.shape)\n", + "print(x_train.shape[0], 'train samples')\n", + "print(x_test.shape[0], 'test samples')\n", + "\n", + "# Now we one hot encode outputs\n", + "y_train = np_utils.to_categorical(y_train)\n", + "y_test = np_utils.to_categorical(y_test)\n", + "\n", + "# Let's count the number columns in our hot encoded matrix \n", + "print (\"Number of Classes: \" + str(y_test.shape[1]))\n", + "\n", + "num_classes = y_test.shape[1]\n", + "num_pixels = x_train.shape[1] * x_train.shape[2]\n", + "\n", + "# create model\n", + "model = Sequential()\n", + "\n", + "model.add(Conv2D(32, kernel_size=(3, 3),\n", + " activation='relu',\n", + " input_shape=input_shape))\n", + "model.add(Conv2D(64, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.25))\n", + "model.add(Flatten())\n", + "model.add(Dense(128, activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Dense(num_classes, activation='softmax'))\n", + "\n", + "model.compile(loss = 'categorical_crossentropy',\n", + " optimizer = keras.optimizers.Adadelta(),\n", + " metrics = ['accuracy'])\n", + "\n", + "print(model.summary())\n", + "\n", + "history = model.fit(x_train, y_train,\n", + " batch_size=batch_size,\n", + " epochs=epochs,\n", + " verbose=1,\n", + " validation_data=(x_test, y_test))\n", + "\n", + "score = model.evaluate(x_test, y_test, verbose=0)\n", + "print('Test loss:', score[0])\n", + "print('Test accuracy:', score[1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "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": "3.6.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.2 - Image Classifier - CIFAR10-checkpoint.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.2 - Image Classifier - CIFAR10-checkpoint.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..2fd64429bf421126b7000c94ce0f6fd186fbd01f --- /dev/null +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.2 - Image Classifier - CIFAR10-checkpoint.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.3. Live Sketching-checkpoint.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.3. Live Sketching-checkpoint.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..b67f6215d4b4fe1d8204be005165f89c4fd6af6a --- /dev/null +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.3. Live Sketching-checkpoint.ipynb @@ -0,0 +1,101 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3.4.3\n" + ] + } + ], + "source": [ + "import keras\n", + "import cv2\n", + "import numpy as np\n", + "import matplotlib\n", + "print (cv2.__version__)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import cv2\n", + "import numpy as np\n", + "\n", + "# Our sketch generating function\n", + "def sketch(image):\n", + " # Convert image to grayscale\n", + " img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n", + " \n", + " # Clean up image using Guassian Blur\n", + " img_gray_blur = cv2.GaussianBlur(img_gray, (5,5), 0)\n", + " \n", + " # Extract edges\n", + " canny_edges = cv2.Canny(img_gray_blur, 10, 70)\n", + " \n", + " # Do an invert binarize the image \n", + " ret, mask = cv2.threshold(canny_edges, 70, 255, cv2.THRESH_BINARY_INV)\n", + " return mask\n", + "\n", + "\n", + "# Initialize webcam, cap is the object provided by VideoCapture\n", + "# It contains a boolean indicating if it was sucessful (ret)\n", + "# It also contains the images collected from the webcam (frame)\n", + "cap = cv2.VideoCapture(0)\n", + "\n", + "while True:\n", + " ret, frame = cap.read()\n", + " cv2.imshow('Our Live Sketcher', sketch(frame))\n", + " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", + " break\n", + " \n", + "# Release camera and close windows\n", + "cap.release()\n", + "cv2.destroyAllWindows() " + ] + }, + { + "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": "3.6.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/Test - Imports Keras, OpenCV and tests webcam-checkpoint.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/Test - Imports Keras, OpenCV and tests webcam-checkpoint.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..8cea29ac8198c23cbfebd67c051425f7bf691252 --- /dev/null +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/Test - Imports Keras, OpenCV and tests webcam-checkpoint.ipynb @@ -0,0 +1,73 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import cv2\n", + "import numpy as np\n", + "\n", + "# Our sketch generating function\n", + "def sketch(image):\n", + " # Convert image to grayscale\n", + " img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n", + " \n", + " # Clean up image using Guassian Blur\n", + " img_gray_blur = cv2.GaussianBlur(img_gray, (5,5), 0)\n", + " \n", + " # Extract edges\n", + " canny_edges = cv2.Canny(img_gray_blur, 10, 70)\n", + " \n", + " # Do an invert binarize the image \n", + " ret, mask = cv2.threshold(canny_edges, 70, 255, cv2.THRESH_BINARY_INV)\n", + " return mask\n", + "\n", + "\n", + "# Initialize webcam, cap is the object provided by VideoCapture\n", + "# It contains a boolean indicating if it was sucessful (ret)\n", + "# It also contains the images collected from the webcam (frame)\n", + "cap = cv2.VideoCapture(0)\n", + "\n", + "while True:\n", + " ret, frame = cap.read()\n", + " cv2.imshow('Our Live Sketcher', sketch(frame))\n", + " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", + " break\n", + " \n", + "# Release camera and close windows\n", + "cap.release()\n", + "cv2.destroyAllWindows() " + ] + }, + { + "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": "3.6.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/6. Neural Networks Explained/9. Regularization, Overfitting, Generalization and Test Datasets.srt b/6. Neural Networks Explained/9. Regularization, Overfitting, Generalization and Test Datasets.srt new file mode 100644 index 0000000000000000000000000000000000000000..dac5dc63e67f1b4b5b043736288caefcf585cb87 --- /dev/null +++ b/6. Neural Networks Explained/9. Regularization, Overfitting, Generalization and Test Datasets.srt @@ -0,0 +1,867 @@ +1 +00:00:00,390 --> 00:00:00,710 +OK. + +2 +00:00:00,750 --> 00:00:02,420 +So welcome to Section Six point. + +3 +00:00:02,550 --> 00:00:05,970 +Actually just corrected it from the last section I had a six point seven here. + +4 +00:00:06,060 --> 00:00:06,910 +My bad. + +5 +00:00:07,320 --> 00:00:11,500 +So this section deals with a regularisation which was a very important concept. + +6 +00:00:11,520 --> 00:00:16,740 +Also you're going to understand what overfitting is and why it's bad and why we need to have a model. + +7 +00:00:16,920 --> 00:00:21,090 +Generalize well and you understand basically what a tested assets. + +8 +00:00:21,090 --> 00:00:25,110 +I think I mentioned it previously but I'll go into it a bit more here. + +9 +00:00:25,500 --> 00:00:30,920 +Effectively we want to know how or what when and how our trade model becomes good. + +10 +00:00:32,310 --> 00:00:33,920 +So what makes a good model. + +11 +00:00:33,930 --> 00:00:40,270 +Now this is a very very basic explanation of what makes a good model good model is accurate generalizes + +12 +00:00:40,350 --> 00:00:44,050 +well and does not overfit would have these kind of I mean the same thing. + +13 +00:00:44,080 --> 00:00:46,130 +You'll understand that's shortly. + +14 +00:00:46,290 --> 00:00:52,150 +And I deliberately made a slight vague because accuracy all depends on your domain. + +15 +00:00:52,160 --> 00:00:55,660 +You're looking at sometimes you won ninety nine point ninety nine percent accuracy. + +16 +00:00:55,830 --> 00:00:57,050 +Sometimes you can. + +17 +00:00:57,180 --> 00:00:59,060 +You can be happy with 80 percent accuracy. + +18 +00:00:59,070 --> 00:01:00,490 +It all depends on the application. + +19 +00:01:03,020 --> 00:01:05,780 +So let's look at the models here. + +20 +00:01:05,900 --> 00:01:08,990 +Let's look at these two classes one in green one in blue. + +21 +00:01:09,410 --> 00:01:17,360 +And this is a model a model B model see the red line here is basically the decision boundary for each + +22 +00:01:17,540 --> 00:01:19,010 +data set of data here. + +23 +00:01:19,330 --> 00:01:21,540 +Which model I should say so. + +24 +00:01:23,280 --> 00:01:29,430 +What's happening here is that how do you know which model intuitively what would you say is a best model + +25 +00:01:29,430 --> 00:01:29,980 +here. + +26 +00:01:30,030 --> 00:01:32,630 +Now let's look at Mullaly closely. + +27 +00:01:32,890 --> 00:01:36,350 +Muddly actually separates all the data accurately. + +28 +00:01:36,510 --> 00:01:43,890 +It sees a blue ball over here and actually adjust its decision boundary to encapsulate it Model B. + +29 +00:01:43,890 --> 00:01:49,530 +Basically it doesn't do that model B basically does it nice smooth curve here it doesn't push itself + +30 +00:01:49,560 --> 00:01:54,480 +all the way out here to capture this blue ball and basically it forms a nice clean decision boundary + +31 +00:01:54,480 --> 00:01:55,150 +here. + +32 +00:01:55,260 --> 00:02:01,680 +Model C takes a much more simplistic approach giving you a straight line separating these boundaries + +33 +00:02:01,680 --> 00:02:02,050 +here. + +34 +00:02:02,230 --> 00:02:05,790 +Now what would you say is a best model here. + +35 +00:02:06,150 --> 00:02:13,080 +Now I would say B and I'll tell you why even though B doesn't capture the blue ball here as you can + +36 +00:02:13,080 --> 00:02:17,580 +see from the nature of this data the blue ball technically is in the Green Zone. + +37 +00:02:18,050 --> 00:02:18,320 +Yeah. + +38 +00:02:18,390 --> 00:02:20,310 +So this ball here is an anomaly. + +39 +00:02:20,310 --> 00:02:21,920 +He's basically an outlier. + +40 +00:02:22,260 --> 00:02:25,790 +He contends that he may have ended up here from being mislabeled. + +41 +00:02:25,800 --> 00:02:29,470 +Maybe he was supposed to be agreeable or maybe he just highly unusual. + +42 +00:02:29,670 --> 00:02:35,430 +And generally we don't want our models to basically cover this blue ball here. + +43 +00:02:35,640 --> 00:02:43,960 +This is called overfitting and it's bad because in all in most likely case a most likely scenario. + +44 +00:02:44,080 --> 00:02:45,470 +Green balls are going to be right here. + +45 +00:02:45,540 --> 00:02:48,090 +So what happens when a green ball is Heyliger unseen. + +46 +00:02:48,110 --> 00:02:54,030 +GREENE Well in the future where we give it the fetus green ball is x y coordinates that is right here + +47 +00:02:54,530 --> 00:02:55,860 +into this model. + +48 +00:02:55,860 --> 00:02:59,630 +This overfitting model is going to label it as blue. + +49 +00:02:59,730 --> 00:03:06,600 +Unfortunately when in reality if you see it here this nice clean model B boundary it is supposed to + +50 +00:03:06,600 --> 00:03:09,330 +be green green glass. + +51 +00:03:09,570 --> 00:03:16,080 +So that's an example of a model that is overfit probably too complicated for its own good as opposed + +52 +00:03:16,080 --> 00:03:19,610 +to a Model B which generalizes Well model C in it. + +53 +00:03:19,650 --> 00:03:23,380 +On the other hand is way too general and it's not going to be a good model. + +54 +00:03:27,480 --> 00:03:32,190 +As I explained before this model fits this model this ideal of balance. + +55 +00:03:32,190 --> 00:03:33,990 +And this is what it's called unbefitting. + +56 +00:03:34,110 --> 00:03:35,250 +He doesn't fit the data. + +57 +00:03:35,430 --> 00:03:38,930 +Well he just gives you a generic boundary and tells you. + +58 +00:03:39,210 --> 00:03:43,020 +Yeah I tried my best but it's under fitting. + +59 +00:03:43,100 --> 00:03:47,550 +So let's go into overfitting overfitting is what leads to poor models. + +60 +00:03:47,570 --> 00:03:54,650 +And that's one of the most common problems faced in machine learning and that's a problem I face continuously + +61 +00:03:54,650 --> 00:03:57,500 +when training my convolutional neural nets. + +62 +00:03:57,890 --> 00:04:01,570 +It always happens it always tends to overfit when the training data. + +63 +00:04:01,940 --> 00:04:04,960 +And we will we will experience that later on in discourse. + +64 +00:04:05,390 --> 00:04:12,450 +But what it means basically is overfitting is when all muddled fits perfectly still treating it as in + +65 +00:04:12,710 --> 00:04:19,370 +He has very high accuracy when the data he was trained on maybe even high 90s and then nine point nine + +66 +00:04:19,370 --> 00:04:20,820 +something. + +67 +00:04:20,820 --> 00:04:27,740 +However on the test dataset which is the unseen data he is going to be perform poorly because he has + +68 +00:04:27,740 --> 00:04:33,710 +no basically modeled after detecting data but can't generalize well to data he hasn't seen. + +69 +00:04:34,190 --> 00:04:39,100 +So what happens when you try to pass and you point to this position here. + +70 +00:04:39,290 --> 00:04:40,910 +Exactly what I mentioned before. + +71 +00:04:41,450 --> 00:04:45,290 +It's true colors are supposed to be green but it will be classified as blue. + +72 +00:04:45,590 --> 00:04:48,020 +Models don't necessarily need to be too complex to be good. + +73 +00:04:48,030 --> 00:04:54,330 +They need to generalize well so how do you know if you're overfit. + +74 +00:04:54,820 --> 00:04:59,130 +Well that's why I mentioned testier previously in the beginning of the slide. + +75 +00:04:59,350 --> 00:05:05,420 +We need to test a model on test data and an all machine learning algorithms and stuff. + +76 +00:05:05,560 --> 00:05:08,040 +We always use a test data set. + +77 +00:05:08,560 --> 00:05:15,230 +And basically if we have entire data sets save for 2000 images we take seven hundred and vitrine and + +78 +00:05:15,250 --> 00:05:20,310 +those 700 labeled images and we reserve tree hundred as tested. + +79 +00:05:20,440 --> 00:05:27,930 +200 is critical because it tells us how well or algorithm or model performs on data. + +80 +00:05:28,030 --> 00:05:29,680 +The model has never seen before. + +81 +00:05:31,970 --> 00:05:36,120 +This is a very common case of AMSAT overfitting 95 percent plus accuracy. + +82 +00:05:36,260 --> 00:05:38,690 +But on test data you get like 70 percent. + +83 +00:05:38,690 --> 00:05:41,500 +It's a perfect example of overfitting. + +84 +00:05:42,280 --> 00:05:44,260 +So overfitting that graphically. + +85 +00:05:44,330 --> 00:05:45,810 +Here's what happens. + +86 +00:05:45,890 --> 00:05:48,390 +Mumblin mentioned ebox No. + +87 +00:05:48,920 --> 00:05:54,040 +1 indice in this chapter I discuss it discuss exactly what ebox are. + +88 +00:05:54,320 --> 00:06:00,750 +It's basically every time we send the full treating the research into our training algorithm it's we. + +89 +00:06:00,860 --> 00:06:06,680 +We have completed one IPAC and we need to train for maybe hundreds of ebox sometimes to get a good model. + +90 +00:06:06,770 --> 00:06:07,790 +Usually that's not the case. + +91 +00:06:07,790 --> 00:06:13,490 +Usually you can get away with treating 22:00 ebox but generally that's what we have to do to get the + +92 +00:06:13,490 --> 00:06:15,960 +best models. + +93 +00:06:15,980 --> 00:06:22,120 +So this is an illustration of what overfitting looks like. + +94 +00:06:22,130 --> 00:06:29,360 +So look at treating loss here in red and accuracy losses going down quite well accuracy is going up + +95 +00:06:29,360 --> 00:06:30,620 +close to 100 percent. + +96 +00:06:30,640 --> 00:06:37,370 +The scale of accuracy is and decide and losses and decide and ebox or X and all look at the test the + +97 +00:06:37,370 --> 00:06:43,750 +test loss between us fluctuates above between 1 to 1.5 and actually goes up in the end. + +98 +00:06:43,820 --> 00:06:44,970 +It's not good at all. + +99 +00:06:45,380 --> 00:06:51,700 +And look at our test accuracy he's hovering at abysmal rates of like below 50 percent. + +100 +00:06:52,190 --> 00:06:57,800 +And while his training data is at 100 percent that is a very this is actually extreme overfitting to + +101 +00:06:57,800 --> 00:07:00,240 +be fair doesn't actually have to get this bad. + +102 +00:07:00,320 --> 00:07:02,370 +At least I've never gotten it to be disbarred. + +103 +00:07:02,510 --> 00:07:05,850 +That is a good example of what we actually see happening in the real world. + +104 +00:07:06,290 --> 00:07:13,100 +Good training accuracy Porchester accuracy and that's overfitting. + +105 +00:07:13,120 --> 00:07:15,090 +So how do we avoid overfitting. + +106 +00:07:15,360 --> 00:07:16,630 +Are many techniques to avoid it. + +107 +00:07:16,630 --> 00:07:19,030 +And I'll discuss it slowly soon. + +108 +00:07:19,060 --> 00:07:26,200 +In the slide in this section now of overfitting as a consequence of our we it's always been tuned to + +109 +00:07:26,200 --> 00:07:32,080 +fit our training data but don't fit over to you and in a way so that they don't perform well on testing. + +110 +00:07:32,740 --> 00:07:39,310 +And we know we had a decent model just too sensitive to the training data. + +111 +00:07:39,340 --> 00:07:40,990 +So is there a way to fix this. + +112 +00:07:41,040 --> 00:07:42,420 +I mean way too sensitive. + +113 +00:07:42,430 --> 00:07:46,750 +I mean it's just optimized exclusively for treating data + +114 +00:07:49,660 --> 00:07:55,320 +so we can avoid well-fitting by using a smaller less deep model. + +115 +00:07:55,820 --> 00:08:01,720 +Deeper models can sometimes find features or interpret noise to be important noise was example of this + +116 +00:08:01,720 --> 00:08:02,210 +here. + +117 +00:08:03,000 --> 00:08:08,790 +This clearly wasn't that important but yet a deep model will actually try to figure out and model this + +118 +00:08:10,810 --> 00:08:11,740 +to do today. + +119 +00:08:11,830 --> 00:08:17,920 +That's because a deeper ability is deeper that folks have abilities to memorize more complicated features + +120 +00:08:18,850 --> 00:08:21,580 +and that's called the memorization cup capacity. + +121 +00:08:24,960 --> 00:08:28,230 +But there's another way and that's called regularisation. + +122 +00:08:28,470 --> 00:08:35,550 +I don't often recommend I shouldn't recommend using less models to get better more better results because + +123 +00:08:35,550 --> 00:08:40,440 +there are other ways around that and you want to actually always have a deep enough model to have to + +124 +00:08:40,440 --> 00:08:42,890 +represent complicated patterns in your data. + +125 +00:08:43,260 --> 00:08:47,750 +So let's see what techniques we can use to regularize. + +126 +00:08:47,820 --> 00:08:49,400 +So what is regularisation. + +127 +00:08:49,400 --> 00:08:53,750 +It's a method of making all model more general to a data set. + +128 +00:08:53,760 --> 00:08:59,880 +So basically regularisation will take a model that produces a decision boundary like this and sort of + +129 +00:08:59,880 --> 00:09:02,870 +make it tweak it so that it becomes like this. + +130 +00:09:02,970 --> 00:09:05,150 +And let's see now it's not actually doing it. + +131 +00:09:05,150 --> 00:09:07,990 +That's the actual tomb of regularisation. + +132 +00:09:08,010 --> 00:09:11,240 +We basically want to get a model like this and not like this. + +133 +00:09:11,280 --> 00:09:13,000 +And let's find out how we do that. + +134 +00:09:14,750 --> 00:09:18,090 +So there are a few types of regularisation you're actually more in this. + +135 +00:09:18,110 --> 00:09:19,800 +But these are the basic types. + +136 +00:09:19,800 --> 00:09:28,010 +There's L1 L2 regularisation cross-validation stopping dropout and data augmentation. + +137 +00:09:28,040 --> 00:09:31,030 +So let's look at L1 L2 regularisation. + +138 +00:09:31,070 --> 00:09:37,640 +These are techniques we use to penalize large weights large weights of gradients manifest themselves + +139 +00:09:37,640 --> 00:09:43,660 +as abrupt changes in our models decision boundary and by penalizing them effectively making them small + +140 +00:09:44,240 --> 00:09:45,850 +L2 is known as original Russian. + +141 +00:09:45,870 --> 00:09:47,900 +L What is laso regression. + +142 +00:09:48,240 --> 00:09:50,570 +No it is a lot more theory behind these things here. + +143 +00:09:50,720 --> 00:09:54,110 +I'm just basically showing you the formulas of what they actually are. + +144 +00:09:54,590 --> 00:10:02,060 +So as you can see this is basically what we're L2 is here. + +145 +00:10:02,200 --> 00:10:03,760 +This is MSCE here. + +146 +00:10:03,950 --> 00:10:06,690 +But we're actually doing something with it here. + +147 +00:10:06,830 --> 00:10:08,340 +What are we doing. + +148 +00:10:08,360 --> 00:10:14,630 +We're playing a constant here of two and some of the weights squared and L-1 is not square. + +149 +00:10:14,690 --> 00:10:16,940 +It's just absolute value of some of the weight. + +150 +00:10:17,390 --> 00:10:26,180 +So this promise here controls the penalty we apply via propagation to penalty under which it is applied + +151 +00:10:26,340 --> 00:10:28,320 +to wait a bit. + +152 +00:10:28,350 --> 00:10:34,150 +So the differences between them basically is that L-1 brings the widths of unimportant features to zero + +153 +00:10:34,920 --> 00:10:37,220 +thus acting as a feature selection algorithm. + +154 +00:10:37,290 --> 00:10:42,720 +You may not know what feature selection is but if you want to know what feature selection is it's basically + +155 +00:10:43,110 --> 00:10:43,960 +trying to find out. + +156 +00:10:44,010 --> 00:10:48,230 +We have like 20 inputs what input is most important to our. + +157 +00:10:48,240 --> 00:10:52,160 +But it's also on the past models as well. + +158 +00:10:52,560 --> 00:10:56,550 +Whereas L2 penalises even more Does that bring it down to zero. + +159 +00:10:56,710 --> 00:10:57,630 +OK. + +160 +00:10:58,260 --> 00:11:04,950 +So effectively what we're doing here disremember L1 L2 prevents it from being too large so that we don't + +161 +00:11:04,950 --> 00:11:11,830 +have abrupt changes no model of abrupt changes basically mean things like go back to here. + +162 +00:11:13,360 --> 00:11:18,080 +You basically try to make this instead of having this abrupt gritty and changes here. + +163 +00:11:21,290 --> 00:11:23,610 +So let's go into cross-validation now. + +164 +00:11:23,630 --> 00:11:29,720 +Cross-ventilation is something I rarely ever use because they're not used to using it to use to use + +165 +00:11:29,720 --> 00:11:30,140 +it a lot. + +166 +00:11:30,140 --> 00:11:35,000 +Doing previous machine learning stuff but in deep learning I don't use it often but if you want to know + +167 +00:11:35,000 --> 00:11:43,160 +what it is it's quite simple actually basically cross-validation and that is key for the course validation + +168 +00:11:43,730 --> 00:11:49,650 +is how we see is the way we split our data set are trying that a set into different folds and we train + +169 +00:11:49,730 --> 00:11:54,000 +those fools and we basically test on the articles afterward. + +170 +00:11:54,500 --> 00:12:00,600 +So let's look at to see if this here is or test full of allegations that no training set. + +171 +00:12:00,740 --> 00:12:08,650 +So what happens is that we train on these four folds here and we test us then we train on these 4:48 + +172 +00:12:08,750 --> 00:12:09,070 +tests. + +173 +00:12:09,080 --> 00:12:15,190 +And that's what this does is that we don't actually have any unseen data in this model. + +174 +00:12:15,260 --> 00:12:21,410 +What we're doing is just we're continuously testing on segments of the data and then creating on segments + +175 +00:12:21,410 --> 00:12:25,320 +of the data and testing on a different segment. + +176 +00:12:25,370 --> 00:12:30,630 +It is a fitting Yes but it also slows down the training process. + +177 +00:12:32,210 --> 00:12:36,030 +Now is nothing is something we can actually automatically do in Paris. + +178 +00:12:36,080 --> 00:12:43,070 +Basically we can set something in Paris that tells us if all a loss tops decreasing stop stop reading. + +179 +00:12:43,290 --> 00:12:50,600 +So if we set our model for 100 ebox but see it Epopt number two something it stops the last stop decreasing + +180 +00:12:51,080 --> 00:12:55,030 +it's going to stop happening somewhere around here when he realizes that and is going to give you this + +181 +00:12:55,040 --> 00:12:55,670 +model here. + +182 +00:12:55,670 --> 00:12:58,670 +The best one with the best loss. + +183 +00:12:58,700 --> 00:13:05,840 +The reason we do this stopping is that sometimes we keep continually training over and over number of + +184 +00:13:05,900 --> 00:13:08,430 +books on our training data. + +185 +00:13:08,510 --> 00:13:11,840 +It tends to basically fit on that data. + +186 +00:13:11,840 --> 00:13:14,540 +So we need to actually stop it really sometimes. + +187 +00:13:14,760 --> 00:13:18,610 +So that release that overfitting does not occur. + +188 +00:13:20,040 --> 00:13:21,670 +And let's talk about drop out. + +189 +00:13:21,710 --> 00:13:26,000 +It is actually very easy to implement and extremely useful. + +190 +00:13:26,520 --> 00:13:28,610 +So drop out refers to dropping nodes. + +191 +00:13:28,700 --> 00:13:33,290 +Hidden and visible in a neural network with him off reducing overfitting. + +192 +00:13:33,530 --> 00:13:35,240 +What do you mean by dropping nodes. + +193 +00:13:35,460 --> 00:13:40,830 +What it means is that in the training process certain parts of the network are ignored during a forward + +194 +00:13:40,830 --> 00:13:42,680 +and back propagations. + +195 +00:13:42,720 --> 00:13:48,660 +This is a way of actually making that work have some redundancy in a way but what it also does is that + +196 +00:13:48,660 --> 00:13:53,100 +it actually adds regularisation to one that works. + +197 +00:13:53,160 --> 00:13:59,030 +It helps reduce the interdependency between winning on your own as well. + +198 +00:13:59,450 --> 00:14:04,840 +So it actually leads to more robust and meaningful features is in dropout. + +199 +00:14:04,910 --> 00:14:10,580 +Does one prominent we use it's called P and P is a probability that the nodes are kept or dropped out + +200 +00:14:11,270 --> 00:14:12,930 +in the training process. + +201 +00:14:12,980 --> 00:14:18,620 +So one are the consequences of using dropout is that it almost doubles the training time to converge + +202 +00:14:18,620 --> 00:14:21,090 +during training. + +203 +00:14:21,110 --> 00:14:23,960 +So this is a good illustration of dropout. + +204 +00:14:24,020 --> 00:14:26,680 +This is a standard neural networks when we train it. + +205 +00:14:26,990 --> 00:14:30,670 +And after playing drop out let's say it was a fairly high value. + +206 +00:14:31,100 --> 00:14:33,060 +These notes here are ignored. + +207 +00:14:33,650 --> 00:14:38,040 +And these notes are used in training. + +208 +00:14:38,140 --> 00:14:44,170 +And lastly was not the last method of regularisation but the last one I'll teach in the schools because + +209 +00:14:44,170 --> 00:14:48,690 +the others are actually quite exotic and not commonly used. + +210 +00:14:48,730 --> 00:14:51,890 +So this one is called the augmentation. + +211 +00:14:51,890 --> 00:14:55,230 +Remember I said you need lots of data to train network. + +212 +00:14:55,450 --> 00:15:02,800 +What if you don't have well incomplete vision especially It lends itself naturally to data augmentation. + +213 +00:15:02,800 --> 00:15:06,570 +What we do is we take a dataset we have one picture of a dog. + +214 +00:15:06,910 --> 00:15:09,910 +How about we just make some manipulations to this image. + +215 +00:15:09,910 --> 00:15:13,050 +We can rotate it completely. + +216 +00:15:13,390 --> 00:15:19,450 +We can I think this one is just mirrored back here and this one has actually zoomed in a bit as well. + +217 +00:15:19,960 --> 00:15:24,400 +So that is where we can actually expand the desert. diff --git a/7. 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Convolutional Neural Networks Chapter Overview.srt @@ -0,0 +1,63 @@ +1 +00:00:00,610 --> 00:00:07,090 +OK so welcome to the big famous chapter in this goes on convolutional neural nets. + +2 +00:00:07,090 --> 00:00:10,630 +This is basically the core of the core so please pay attention. + +3 +00:00:10,660 --> 00:00:16,060 +This chapter is going to get a very good explanation on convolutional you on that convolutional neural + +4 +00:00:16,060 --> 00:00:17,950 +nets I guarantee it. + +5 +00:00:17,950 --> 00:00:19,580 +So what does this chapter include. + +6 +00:00:19,660 --> 00:00:26,530 +Let's see firstly do a brief introduction to convolutional neural nets or CNN is for short because I'll + +7 +00:00:26,540 --> 00:00:28,700 +see if me a lot of time to say that we. + +8 +00:00:29,230 --> 00:00:34,980 +So we talk about convolution of convolutions and image features in the next chapter then depth straight + +9 +00:00:34,980 --> 00:00:35,590 +and putting. + +10 +00:00:35,650 --> 00:00:37,450 +You'll understand that soon. + +11 +00:00:37,450 --> 00:00:41,220 +What really is which we talked about before but how it applies to CNN. + +12 +00:00:41,230 --> 00:00:50,290 +Now what the pooling is what a fully connected layer is and how we try and CNN's And lastly how to design + +13 +00:00:50,350 --> 00:00:51,620 +you and CNN. + +14 +00:00:51,910 --> 00:00:54,750 +So I hope you're looking forward to this chapter. + +15 +00:00:54,970 --> 00:00:57,670 +It's going to be fun and you're going to learn quite a bit. + +16 +00:00:57,700 --> 00:00:58,870 +I guarantee it. diff --git a/7. 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Convolutional Neural Networks Introduction.srt @@ -0,0 +1,275 @@ +1 +00:00:00,570 --> 00:00:07,440 +Hi and welcome to chapter seven point one way introduce comp concept of convolutional neural nets basically + +2 +00:00:07,440 --> 00:00:14,590 +CNN's I'll be referring to them Truthout discourse so why is needed. + +3 +00:00:14,620 --> 00:00:20,170 +We spent a while discussing neural nets previously and maybe wondering why would we have spent so much + +4 +00:00:20,170 --> 00:00:26,260 +time on your own nets if we're not just going to suddenly discard them and go into CNN as well understanding + +5 +00:00:26,260 --> 00:00:32,140 +your own that's critical at understanding CNN's as they basically form the same foundation for all deeply + +6 +00:00:32,140 --> 00:00:37,990 +wrong types of networks all of them basically require you to understand stochastic gritty and descent + +7 +00:00:38,710 --> 00:00:43,880 +back propagation to training process botches iterations all of those things. + +8 +00:00:43,930 --> 00:00:50,250 +Basically CNN is just a different form of neural that's And you'll find out why and how and why. + +9 +00:00:51,010 --> 00:00:57,400 +So why CNN's because mainly because neural networks don't skill well to image data. + +10 +00:00:59,550 --> 00:01:05,010 +Remember you know intro slides we discussed how images are stored which was basically this. + +11 +00:01:05,010 --> 00:01:08,000 +You have a grid let's say this is a 10 by 10 grid here. + +12 +00:01:08,280 --> 00:01:13,170 +So we have 100 inputs here technically and each input has different colors. + +13 +00:01:13,200 --> 00:01:18,570 +So a lot of it is data and decrease your vision of this as well. + +14 +00:01:18,790 --> 00:01:22,220 +Our job would just be this. + +15 +00:01:22,280 --> 00:01:25,730 +So as I said neural nets don't skill well to image data. + +16 +00:01:25,740 --> 00:01:26,920 +And why is that. + +17 +00:01:27,070 --> 00:01:32,660 +Let's consider an image called image a small image 64 by 64 pixels. + +18 +00:01:32,670 --> 00:01:35,620 +So how many how many inputs is that 64. + +19 +00:01:35,630 --> 00:01:44,230 +By 64 times tree that's twelve thousand inputs already for what is a tiny image here. + +20 +00:01:44,410 --> 00:01:50,120 +So if all input lead will have at least twelve hundred twelve thousand weights and that is large. + +21 +00:01:50,380 --> 00:01:52,370 +And basically if we even go higher. + +22 +00:01:52,370 --> 00:01:58,920 +We have ninety nine some thousand weights in the piddly loon and that's not even considering how many. + +23 +00:01:59,020 --> 00:02:02,330 +How many more promises we have in the Himalayas as well. + +24 +00:02:02,380 --> 00:02:08,150 +So we need to find basically CNN doesn't actually reduce the weights in the beginning and the end. + +25 +00:02:08,160 --> 00:02:14,710 +But what it does do it [REMOVED] finds a representation internally in hidden layers to basically take + +26 +00:02:14,710 --> 00:02:22,660 +advantage of how images are formed so that we can actually make a neural net much more effective on + +27 +00:02:22,690 --> 00:02:23,390 +image data. + +28 +00:02:23,700 --> 00:02:25,380 +Let's see how this is. + +29 +00:02:25,780 --> 00:02:31,740 +So introducing CNN here this is effectively what it is here. + +30 +00:02:32,200 --> 00:02:35,570 +Oh I'm going to go to each of these in detail into little slides. + +31 +00:02:35,590 --> 00:02:39,790 +But for now conceptually So this is what it is. + +32 +00:02:39,820 --> 00:02:42,790 +Remember in neural nets the head in Podolia and hidden layers. + +33 +00:02:43,030 --> 00:02:49,330 +Well these are the hidden layers in a in a convolutional and that's what happens first is that we have + +34 +00:02:49,330 --> 00:02:54,630 +what is called convolution where Realto activation unit is applied to the convolution here. + +35 +00:02:55,210 --> 00:03:00,280 +And this convolution here it slides across image here producing values here. + +36 +00:03:00,490 --> 00:03:02,680 +Don't worry if you don't understand this just yet. + +37 +00:03:02,680 --> 00:03:06,990 +I'm going to go into detail in each one later on. + +38 +00:03:07,270 --> 00:03:10,150 +So just feel free to just basically look at this. + +39 +00:03:10,150 --> 00:03:13,050 +Get familiar with the terms and diagram how it looks. + +40 +00:03:13,210 --> 00:03:15,420 +But you don't actually have to know what these are yet. + +41 +00:03:15,460 --> 00:03:18,760 +So this is what convolutional neural nets look like. + +42 +00:03:19,850 --> 00:03:22,170 +So why should you leave. + +43 +00:03:22,250 --> 00:03:25,000 +I didn't mention truly is here before. + +44 +00:03:25,310 --> 00:03:30,710 +But you can see here that there are depths of Leia's stacks going to sway in this way. + +45 +00:03:30,980 --> 00:03:34,720 +Whereas New York and that's represented in north a flat diagram here. + +46 +00:03:35,090 --> 00:03:44,240 +So is allow us to use convolutions that least image features and by living image features you'll get + +47 +00:03:44,260 --> 00:03:46,810 +and so on what images are very soon. + +48 +00:03:48,230 --> 00:03:53,450 +And therefore this allows us to use Folles we you know deep that look allowing for significantly faster + +49 +00:03:53,450 --> 00:03:55,490 +training and a lot less parameters to. + +50 +00:03:57,440 --> 00:04:03,890 +So this is an arrangement of how neural nets use truly Vol. 1 am and when I said truly volume I'm referring + +51 +00:04:03,890 --> 00:04:11,360 +to the input to being in three dimensions here because we have height wit an adept call it up here. + +52 +00:04:11,430 --> 00:04:12,820 +This is for color image here. + +53 +00:04:13,020 --> 00:04:20,050 +So input go back to it here is effectively a true dimensional input that is fed into here. + +54 +00:04:20,390 --> 00:04:22,510 +And these are all in different dimensions as well. + +55 +00:04:28,350 --> 00:04:32,590 +So just effectively go is a as often for CNN. + +56 +00:04:32,760 --> 00:04:40,140 +We have the input layer or convolutional there are real new layer pooling and fully connectedly are + +57 +00:04:40,320 --> 00:04:40,760 +here. + +58 +00:04:41,130 --> 00:04:44,560 +That's it basically they can get more complex later on. + +59 +00:04:44,790 --> 00:04:48,420 +But these are the Corley's of CNN. + +60 +00:04:48,450 --> 00:04:50,350 +So why is it called CNN. + +61 +00:04:50,430 --> 00:04:51,130 +Well it's all. + +62 +00:04:51,310 --> 00:04:53,750 +Liam convolutional live here. + +63 +00:04:53,940 --> 00:04:59,100 +That's this one here also and this one here comes in sequences as well you can have. + +64 +00:04:59,310 --> 00:05:04,750 +This is how we adapt to CNN by having multiple stacked convolutional layers. + +65 +00:05:05,070 --> 00:05:08,960 +Now convolution is what allows us to actually learn image features. + +66 +00:05:09,300 --> 00:05:12,540 +And I will explain to you again what image features are. + +67 +00:05:13,160 --> 00:05:19,590 +But basically what I would classify uses to sort of detect what's in an image but what exactly is a + +68 +00:05:19,590 --> 00:05:20,450 +convolution. + +69 +00:05:20,730 --> 00:05:23,710 +Well let's find out and chopped up to 7.2. diff --git a/7. Convolutional Neural Networks (CNNs) Explained/3. Convolutions & Image Features.srt b/7. Convolutional Neural Networks (CNNs) Explained/3. Convolutions & Image Features.srt new file mode 100644 index 0000000000000000000000000000000000000000..b005a4282f31fec898e08622810ef63ed80a66db --- /dev/null +++ b/7. Convolutional Neural Networks (CNNs) Explained/3. Convolutions & Image Features.srt @@ -0,0 +1,687 @@ +1 +00:00:00,670 --> 00:00:06,470 +OK so in 7.2 we are going to learn what convolutions all and what image features. + +2 +00:00:06,630 --> 00:00:08,960 +So let's get. + +3 +00:00:09,490 --> 00:00:11,460 +So before we dive into convolutions. + +4 +00:00:11,470 --> 00:00:14,300 +Let's take a look at what image features actually are. + +5 +00:00:14,830 --> 00:00:21,280 +So when I say image features I'm talking about interesting things in an image as a kind of a vague term + +6 +00:00:21,450 --> 00:00:25,590 +but it basically encapsulates things like edges colors patterns and shapes. + +7 +00:00:25,600 --> 00:00:26,690 +This is a dog here. + +8 +00:00:26,700 --> 00:00:27,430 +It has been. + +9 +00:00:27,520 --> 00:00:30,490 +The edges have been extracted using canny edge detector. + +10 +00:00:30,910 --> 00:00:38,200 +So image feature is basically just that just basically one narrow thing that we find interesting in + +11 +00:00:38,200 --> 00:00:43,410 +an image by narrow I mean like a type of category like edges or colors. + +12 +00:00:43,440 --> 00:00:53,270 +This could have easily been a brown color also or blue or whatever putting the color or shape so before + +13 +00:00:53,270 --> 00:00:58,650 +CNN's came into the picture scientists did feature engineering manually. + +14 +00:00:58,940 --> 00:01:05,390 +You see how I just mentioned that these are these are edges or colored extractors or patterns or shapes. + +15 +00:01:05,390 --> 00:01:10,730 +Now what we did is scientists and I actually had to do this at one time was extract different features + +16 +00:01:10,730 --> 00:01:17,300 +such as histogram of radiance color histograms by intercessions means a structural image. + +17 +00:01:17,630 --> 00:01:18,740 +Many different things. + +18 +00:01:18,860 --> 00:01:23,930 +And it was tedious to actually do this in engineering because a lot of times you're just kind of like + +19 +00:01:23,930 --> 00:01:27,890 +messing around trying different things and you don't even know what works. + +20 +00:01:27,920 --> 00:01:33,410 +And in the end because you don't have a good complicated model that does non-linear representations + +21 +00:01:33,440 --> 00:01:39,190 +Well you still end up getting basically not that great accuracy. + +22 +00:01:41,250 --> 00:01:47,490 +So decent examples of filters learned by this guy here in this publication. + +23 +00:01:47,490 --> 00:01:53,700 +This has been tech here multiple edges actors with whites in black and white as you brush stripes all + +24 +00:01:53,700 --> 00:01:54,550 +over here. + +25 +00:01:54,780 --> 00:01:56,400 +Different color patterns together. + +26 +00:01:56,590 --> 00:02:03,180 +Now one of the image features here exactly what I'm talking what image features but what does it have + +27 +00:02:03,180 --> 00:02:04,680 +to do with convolutions now. + +28 +00:02:04,890 --> 00:02:08,160 +So what are conditions now a convolution. + +29 +00:02:08,160 --> 00:02:14,010 +Before I even tell you how it relates to features convolution is effectively a mathematical two that + +30 +00:02:14,010 --> 00:02:18,600 +describes a process of combining two functions to produce a tiered function. + +31 +00:02:18,600 --> 00:02:24,810 +Now that sounds kind of vague until I tell you the function is a feature map and a feature map is effectively + +32 +00:02:24,810 --> 00:02:25,870 +these things here. + +33 +00:02:26,220 --> 00:02:30,820 +So now we imagine we're applying convolution to an image. + +34 +00:02:30,860 --> 00:02:38,750 +So that's playing a process of two functions so we apply to convolutional to an image to get them up. + +35 +00:02:38,840 --> 00:02:44,560 +So convolution is an action of using a filter or Kunaal we use both interchangeably in discourse and + +36 +00:02:44,560 --> 00:02:47,180 +in research and Terry. + +37 +00:02:47,190 --> 00:02:53,300 +So it's applied to the input and I will keast input being input image and the convolutions. + +38 +00:02:53,370 --> 00:02:55,110 +This is basically the convolutional process. + +39 +00:02:55,110 --> 00:02:57,240 +Now let me just go back to the slide here. + +40 +00:02:57,390 --> 00:03:03,870 +So I just want to reiterate that in pluckiest input which is the first convolution here input is applied + +41 +00:03:03,960 --> 00:03:06,450 +to what function called philatelic. + +42 +00:03:06,750 --> 00:03:15,530 +And that is if you chinup So the convolutional process is basically executed by sliding the filter that's + +43 +00:03:15,530 --> 00:03:22,820 +a filter function over the input image and this slutting process is basically a simple multiplication + +44 +00:03:22,910 --> 00:03:27,940 +matrix multiplication or dot product over to produce Atid function. + +45 +00:03:27,950 --> 00:03:28,990 +So how is it done. + +46 +00:03:29,150 --> 00:03:32,090 +So imagine this is basically an input image. + +47 +00:03:32,090 --> 00:03:38,330 +This is a 2D is not truly in reality but this is for explanation purposes and this is a convolution + +48 +00:03:38,330 --> 00:03:41,570 +filter here to some values in a smaller matrix. + +49 +00:03:41,840 --> 00:03:43,870 +And this is the output feature map. + +50 +00:03:43,880 --> 00:03:47,220 +So what's going to happen in the convolution process. + +51 +00:03:47,340 --> 00:03:58,070 +Well we're going to basically slide this image here over go back here over this area here and then again + +52 +00:03:58,280 --> 00:04:00,490 +and again and you'll see it slowly. + +53 +00:04:00,500 --> 00:04:06,020 +So when I mean convolve that kind of thing means we basically multiply them here. + +54 +00:04:06,200 --> 00:04:12,050 +So as you can see it devalues 1 0 1 1 0 0 0 0 1 1. + +55 +00:04:12,050 --> 00:04:20,090 +And these values here with 0 1 0 1 0 above or below that I actually didn't use these values mainly for + +56 +00:04:20,090 --> 00:04:21,760 +simplicity purposes. + +57 +00:04:21,760 --> 00:04:26,070 +Search engines to these values here to make this calculation far easier for us. + +58 +00:04:26,090 --> 00:04:33,980 +So by multiplying these two together we get zero by 1 1 by 0 0 by 1. + +59 +00:04:33,980 --> 00:04:37,490 +You'll see it here 1 by 0 0 by 1 1 0. + +60 +00:04:37,730 --> 00:04:42,040 +And so on and so on and we just add it up and we get two. + +61 +00:04:42,280 --> 00:04:46,050 +And that forms of force I put future in this box here. + +62 +00:04:46,400 --> 00:04:54,350 +So how many times can this tree by tree Matrix this slidden this or even that we're going to be slighted + +63 +00:04:54,470 --> 00:04:56,220 +over this. + +64 +00:04:56,220 --> 00:04:58,310 +This image here. + +65 +00:04:58,310 --> 00:05:00,500 +So imagine this the good here. + +66 +00:05:00,740 --> 00:05:05,990 +We have one box here and we can shift it again here too just like this here. + +67 +00:05:06,350 --> 00:05:08,020 +And then tree again. + +68 +00:05:08,420 --> 00:05:15,260 +So by studying it up this box we fill up now a second value of FICCI matrix and you don't have to add + +69 +00:05:15,260 --> 00:05:21,100 +one but imagine it as you'd want to hear and then start again at a second row here. + +70 +00:05:21,410 --> 00:05:28,940 +So we have one here to here tree here and then again four five six. + +71 +00:05:28,940 --> 00:05:29,530 +All right. + +72 +00:05:29,780 --> 00:05:34,030 +So we have basically enough values. + +73 +00:05:34,300 --> 00:05:39,030 +So we have in each row one two tree and tree times can misled across. + +74 +00:05:39,050 --> 00:05:40,880 +We have nine values in all. + +75 +00:05:41,300 --> 00:05:47,450 +So we can actually fill out this entire thing by sliding it across nine times. + +76 +00:05:47,600 --> 00:05:49,200 +That's how we build those features. + +77 +00:05:49,400 --> 00:05:56,630 +So by using what I would call tree by tree filter convolution kernel we produce feature map tree by + +78 +00:05:56,630 --> 00:06:00,260 +tree where it produces the filters here. + +79 +00:06:00,770 --> 00:06:03,270 +Now you understand this process. + +80 +00:06:03,350 --> 00:06:04,930 +Basically it's simple not. + +81 +00:06:05,030 --> 00:06:11,870 +But what exactly are effects of doing this and why is this important so fiercely. + +82 +00:06:12,050 --> 00:06:22,700 +Depending on the values of the kernel that was the killer being this blue box here on pollution we produce + +83 +00:06:22,700 --> 00:06:27,860 +different maps obviously because we can have different guilds with different values and they'll all + +84 +00:06:27,860 --> 00:06:29,720 +produce different feature maps. + +85 +00:06:29,720 --> 00:06:36,050 +So playing an artist is skill but as we just saw convolving with different Canal's produces interesting + +86 +00:06:36,050 --> 00:06:38,890 +feature maps that can be used to detect different features. + +87 +00:06:38,900 --> 00:06:40,240 +This is what makes it important. + +88 +00:06:40,310 --> 00:06:49,670 +So imagine we have several filters here each with different sets of values here and we're sliding it + +89 +00:06:49,700 --> 00:06:50,290 +over here. + +90 +00:06:50,290 --> 00:06:51,990 +We're producing different Fincham apps. + +91 +00:06:52,250 --> 00:06:57,890 +So what this means now is that we've now processed input image into basically features that have been + +92 +00:06:57,890 --> 00:06:58,710 +extracted. + +93 +00:06:59,980 --> 00:07:00,920 +So let's keep going. + +94 +00:07:02,000 --> 00:07:08,570 +So it's important to know the convolution keeps a special kinship between pixels by linning image features + +95 +00:07:08,630 --> 00:07:11,120 +over the small segments we pass over. + +96 +00:07:11,120 --> 00:07:17,530 +This means that convolution even though it's reduced in size here it's still sort of retained some for + +97 +00:07:17,540 --> 00:07:18,470 +spatial information. + +98 +00:07:18,470 --> 00:07:22,400 +In this large image just now it's in a more compressed type form. + +99 +00:07:25,770 --> 00:07:32,070 +So these are all examples of Kindles here basically identical kernel does nothing. + +100 +00:07:32,250 --> 00:07:38,460 +We have education canals that simply having these values in the signal changes an input image into this + +101 +00:07:38,740 --> 00:07:40,590 +is quite quite remarkable. + +102 +00:07:40,590 --> 00:07:44,660 +But you can actually write some code or try an open CV and see for yourself. + +103 +00:07:44,670 --> 00:07:50,910 +You can specify Cardinals find you in kennels and open C-v and runs in one form solutions and produce + +104 +00:07:51,050 --> 00:07:53,910 +lose lose sharpen images. + +105 +00:07:53,920 --> 00:07:55,730 +Detection is actually pretty cool. + +106 +00:07:56,090 --> 00:08:03,000 +So let's take a look at an example of a feature applied convolution kernel applied to an image that + +107 +00:08:03,000 --> 00:08:04,690 +extracts features here. + +108 +00:08:04,770 --> 00:08:11,970 +So this is an example gif I've taken from you can actually see how when they applied this and slide + +109 +00:08:11,970 --> 00:08:15,750 +across the image or what the actual convolutional filter output looks like. + +110 +00:08:15,960 --> 00:08:17,670 +So this is the edge to here. + +111 +00:08:17,750 --> 00:08:19,300 +And the other a.. + +112 +00:08:19,350 --> 00:08:20,760 +It's actually pretty cool. + +113 +00:08:20,760 --> 00:08:22,390 +Look at it again there. + +114 +00:08:23,250 --> 00:08:26,500 +And the other thing too they're awesome. + +115 +00:08:28,100 --> 00:08:30,690 +So now as you know that was just wonderful. + +116 +00:08:30,690 --> 00:08:35,520 +So we need many filters in our CNN's Elise as within reason. + +117 +00:08:35,520 --> 00:08:40,290 +You don't want to do too much although there's nothing actually wrong with doing too much just increases + +118 +00:08:40,290 --> 00:08:47,250 +your training time and model complexity and it may be redundant depending on your image data set. + +119 +00:08:47,280 --> 00:08:50,040 +So let's assume we're using 12 filters. + +120 +00:08:50,040 --> 00:08:56,180 +How do we actually visualize how that CNN actually looks at here. + +121 +00:08:56,190 --> 00:09:04,460 +So imagine we have an image that size 28 by 28 and tree tree dimensions red green and blue. + +122 +00:09:04,530 --> 00:09:06,360 +So that's why it has some depth here. + +123 +00:09:06,960 --> 00:09:11,930 +And this is a convolutional Salto which is basically the size here. + +124 +00:09:12,000 --> 00:09:18,270 +One by one by one that's actually the opposite story of the congressional filter. + +125 +00:09:18,290 --> 00:09:21,310 +Each grid this is our congressional filter box here. + +126 +00:09:21,320 --> 00:09:22,160 +All right. + +127 +00:09:22,310 --> 00:09:25,690 +So we're actually doing a one to one mapping of a convolutional filter. + +128 +00:09:26,120 --> 00:09:32,390 +So it's 28 also 28 by 28 by one but now we're using 12 filters here. + +129 +00:09:32,510 --> 00:09:41,540 +So each yellow block here represents a single conventional filter and there are 12 blocks stacked here. + +130 +00:09:41,900 --> 00:09:47,580 +So what happens is that for each filter We slide it across filler fill our values here. + +131 +00:09:48,790 --> 00:09:55,020 +And basically 12 times and we get a box of convolution or a box of filters here. + +132 +00:09:55,060 --> 00:09:58,820 +If you come up s.c this is a box of maps. + +133 +00:09:58,840 --> 00:10:01,380 +This is all convolution kernel matrix. + +134 +00:10:01,510 --> 00:10:05,920 +And in case you're wondering because it actually just slipped my mind when I was explaining this to + +135 +00:10:05,920 --> 00:10:10,230 +you because I did this slide a couple of weeks before explaining that in this video. + +136 +00:10:10,330 --> 00:10:18,430 +Now you noticed that before we had a filter that was say strawberry tree and reproduce a small convolution + +137 +00:10:18,490 --> 00:10:21,160 +of smaller Fincham up here. + +138 +00:10:21,160 --> 00:10:25,310 +However in this example I'm producing basically the same size which I'm up. + +139 +00:10:25,330 --> 00:10:32,230 +And this is actually what we need to do in most cases you don't have to but it'll actually explain to + +140 +00:10:32,230 --> 00:10:34,880 +you how we actually end up with the same size image later on. + +141 +00:10:34,990 --> 00:10:40,330 +But for now just assume we run this let's say this is a tree by a tree or five by five convolution here + +142 +00:10:40,870 --> 00:10:47,440 +we get the upper tier and we fill in our matrix here off each Emap. + +143 +00:10:47,560 --> 00:10:52,660 +So as I can see this is how it filters look stacked up visually see it quite clear there. + +144 +00:10:54,050 --> 00:11:00,620 +So the upwards of all conclusions from last Lavey sort of applying 12 filters of size tree by tree tree + +145 +00:11:01,310 --> 00:11:04,830 +to an image which was of 28 but we have a tree. + +146 +00:11:04,840 --> 00:11:08,750 +We produce 12 feature maps also called Activision maps. + +147 +00:11:08,750 --> 00:11:15,060 +Now these options are stacked together and treated as one big treaty matrix of output size 28 by 28 + +148 +00:11:15,080 --> 00:11:16,170 +by 12. + +149 +00:11:16,520 --> 00:11:20,190 +And this is important this go back to this. + +150 +00:11:20,390 --> 00:11:27,630 +This now forms the input this big matrix here to our next layer in the center. + +151 +00:11:27,650 --> 00:11:32,780 +So now let's talk more about what these future maps are Activision maps actually are and how they represent + +152 +00:11:32,810 --> 00:11:34,190 +image features. + +153 +00:11:34,220 --> 00:11:42,380 +So now each cell in it's seldomly meaning each one by one point you know activation map metrics is considered + +154 +00:11:42,410 --> 00:11:45,100 +basically a feature extraction or a single neuron. + +155 +00:11:45,470 --> 00:11:50,470 +And that single neuron is basically looking at a specific region as it slides over the image. + +156 +00:11:50,470 --> 00:11:54,500 +What specific feature I should say as it slides over the image. + +157 +00:11:54,500 --> 00:12:01,460 +So we have a basically a feature map of the 28 by 20 It's like we just did that future map basically + +158 +00:12:01,460 --> 00:12:07,790 +has each neuron each cell basically activates depending on what it sees in the image. + +159 +00:12:08,330 --> 00:12:15,030 +And in the beginning when your own network that of course CNN I should say I would see an old convolutional + +160 +00:12:15,170 --> 00:12:22,400 +is basically basically a low level feature detectors and low level feature detectors basically looking + +161 +00:12:22,400 --> 00:12:24,650 +for simple things and images simple things. + +162 +00:12:24,650 --> 00:12:29,730 +Meaning like maybe edges maybe specific colors maybe a blob here and there. + +163 +00:12:29,750 --> 00:12:36,200 +However if we have consecutive concatenated convolutional Lia's as in deep and that works with Ruelas + +164 +00:12:36,650 --> 00:12:43,400 +of convolutional layers we can start detecting more special features like the thius of a cat what the + +165 +00:12:43,400 --> 00:12:46,160 +shape of a bicycle or the shape of a fetus. + +166 +00:12:46,250 --> 00:12:52,610 +So that's how CNN's actually used these convolutional feature maps to detect features. + +167 +00:12:52,800 --> 00:12:58,450 +So you've seen so far we just use a standard by an arbitrary filter size of tree by tree. + +168 +00:12:58,860 --> 00:13:01,200 +But can we use other sizes. + +169 +00:13:01,210 --> 00:13:08,310 +And how did you affect the convolution size and the future parts of the parts of the convolutional neural + +170 +00:13:08,310 --> 00:13:09,410 +net. + +171 +00:13:09,420 --> 00:13:13,290 +So basically that's called tweaking the hyper pyper parameters. + +172 +00:13:13,290 --> 00:13:18,870 +So the next section at Section 7.3 we look at dept stride and putting. diff --git a/7. Convolutional Neural Networks (CNNs) Explained/4. Depth, Stride and Padding.srt b/7. Convolutional Neural Networks (CNNs) Explained/4. Depth, Stride and Padding.srt new file mode 100644 index 0000000000000000000000000000000000000000..a313430327c7642cba0f25606793cb96bda76e06 --- /dev/null +++ b/7. Convolutional Neural Networks (CNNs) Explained/4. Depth, Stride and Padding.srt @@ -0,0 +1,367 @@ +1 +00:00:00,540 --> 00:00:06,960 +Hi welcome back to our chapter on dept stride and padding these I said would hyper parameters we used + +2 +00:00:06,960 --> 00:00:10,560 +to actually tweak the size of the convolutional filter. + +3 +00:00:10,560 --> 00:00:11,630 +So let's take a look and see + +4 +00:00:15,370 --> 00:00:21,110 +remember in our previous section we only use a tree by tree filter or kernel. + +5 +00:00:21,460 --> 00:00:25,880 +And that gave us this feature map that was actually smaller than the actual input. + +6 +00:00:26,290 --> 00:00:28,660 +Now does it always have to be tree bear tree. + +7 +00:00:28,660 --> 00:00:29,860 +No clearly not. + +8 +00:00:29,870 --> 00:00:33,980 +Doesn't And that's how we design feature maps. + +9 +00:00:34,010 --> 00:00:39,920 +We tweak some parameters and this these parameters actually allow us to control the size of the future + +10 +00:00:39,920 --> 00:00:42,320 +maps that we produce. + +11 +00:00:42,320 --> 00:00:43,410 +So how do we do this. + +12 +00:00:43,580 --> 00:00:49,580 +Well clearly we can easily just adjust the kernel size since out of tree by tree we can do 5 5 7 by + +13 +00:00:49,580 --> 00:00:51,000 +7. + +14 +00:00:51,320 --> 00:00:53,700 +We can change dept those filters. + +15 +00:00:53,790 --> 00:01:01,120 +I already explained to you what depth is just now we can change this stride and padding. + +16 +00:01:01,970 --> 00:01:04,580 +So let's talk about dept festival now. + +17 +00:01:04,610 --> 00:01:11,570 +Dept does not referring to colored up to where it's tree R.G. be cause depth difference to the number + +18 +00:01:11,570 --> 00:01:13,550 +of filters we use. + +19 +00:01:13,560 --> 00:01:22,010 +So in this example here we have one convolutional filter that's been sleights slid across this image + +20 +00:01:22,490 --> 00:01:25,890 +and that produces this one convolutional filter map. + +21 +00:01:26,240 --> 00:01:33,170 +Well we can have as much of these maps as we want in this example we use 12 but in reality you can use + +22 +00:01:33,170 --> 00:01:42,590 +22 60 for any number of filters and each filter during training actually learns different attributes + +23 +00:01:43,130 --> 00:01:44,420 +different features here. + +24 +00:01:44,500 --> 00:01:49,430 +That of course that end up corresponding to different features on this image. + +25 +00:01:49,640 --> 00:01:53,780 +And I will explain to you because right now that sounds a bit vague like how did these filters actually + +26 +00:01:53,780 --> 00:01:55,710 +end up learning different things. + +27 +00:01:55,720 --> 00:02:00,880 +It has a lot to do with the random weight initialization and what it picks up during training. + +28 +00:02:00,890 --> 00:02:02,710 +It's a bit of a black magic type thing. + +29 +00:02:02,720 --> 00:02:07,380 +Honestly how ever it actually does make sense when you actually drill down into it. + +30 +00:02:07,580 --> 00:02:11,900 +So depth refers to the number of filters being used here. + +31 +00:02:11,990 --> 00:02:16,850 +What about stride stride is quite simple to understand striders basically the steps we take when we + +32 +00:02:16,850 --> 00:02:20,100 +slide these filters across the input image. + +33 +00:02:20,110 --> 00:02:22,840 +So let's take a look at what's tried actually is. + +34 +00:02:23,320 --> 00:02:25,450 +So remember using a stride of one. + +35 +00:02:25,790 --> 00:02:28,640 +We just take a jump of one here. + +36 +00:02:29,590 --> 00:02:37,300 +And then here again see as you can see this convolutional thing to credible is just being passed one + +37 +00:02:37,720 --> 00:02:39,770 +at a time one cell at a time. + +38 +00:02:40,090 --> 00:02:43,060 +And then when he goes to bottom it just goes here. + +39 +00:02:43,420 --> 00:02:50,440 +So as you can see this will produce nine values in the output and that output is called the feature + +40 +00:02:50,440 --> 00:02:50,830 +map. + +41 +00:02:50,830 --> 00:02:54,740 +Remember that what if you use a stride of two. + +42 +00:02:54,900 --> 00:02:56,820 +What's going to happen to a future map. + +43 +00:02:56,970 --> 00:02:58,150 +Let's take a look and see. + +44 +00:02:59,420 --> 00:03:03,660 +Try to do it takes a big jump here so only get two values from the top row. + +45 +00:03:03,660 --> 00:03:07,930 +When before we had tree suddenly it's a big jump down here. + +46 +00:03:08,070 --> 00:03:12,190 +So we really get one here and then maybe one more here. + +47 +00:03:12,540 --> 00:03:18,600 +So that means using a bigger stride of two we only get four or two by two. + +48 +00:03:18,810 --> 00:03:23,150 +If you jump out of it now is that important. + +49 +00:03:23,190 --> 00:03:23,940 +And yes it is. + +50 +00:03:23,940 --> 00:03:30,060 +Because think about it now if you're using very big strides you're going to end up with very small feature + +51 +00:03:30,060 --> 00:03:35,490 +maps and you don't always want very small jumps because you lose information that's being passed from + +52 +00:03:35,550 --> 00:03:36,130 +literally a + +53 +00:03:41,190 --> 00:03:47,120 +so this is how we now get into zero padding now with zero padding is actually a very simple concept. + +54 +00:03:47,130 --> 00:03:48,430 +It refers to a border. + +55 +00:03:48,450 --> 00:03:49,900 +We applied it in petroleum. + +56 +00:03:49,980 --> 00:03:51,490 +And why has this volume needed. + +57 +00:03:51,780 --> 00:03:58,560 +Well as you can see in our first example here when we use a tree by tree filter of one we ended up with + +58 +00:03:58,560 --> 00:04:06,560 +a tree by tree Fincham up however that is still smaller and imagine we have a very deep network and + +59 +00:04:06,570 --> 00:04:12,030 +we haven't discussed very deep networks yet but imagine we have a next series of convolutional Lia's + +60 +00:04:12,120 --> 00:04:19,170 +after this like we use this as input image now into the next continent. + +61 +00:04:20,310 --> 00:04:25,890 +What happens in reality is that we have this going through this wood of will here then that happens + +62 +00:04:25,890 --> 00:04:26,760 +again. + +63 +00:04:26,910 --> 00:04:29,060 +Now as you can see it's going to get smaller and smaller. + +64 +00:04:29,070 --> 00:04:34,860 +We don't want that we end up losing too much information and he ends up being tiny at the end. + +65 +00:04:35,160 --> 00:04:41,110 +So this is what zero padding actually does to the input image it adds a layer of zeros right around + +66 +00:04:41,110 --> 00:04:41,610 +that. + +67 +00:04:41,880 --> 00:04:49,600 +And what that does is it allows us to actually generate a map that is the same size as the input image. + +68 +00:04:49,620 --> 00:04:57,390 +So now if you remember correctly let's go back to one of my slides. + +69 +00:04:57,460 --> 00:04:59,910 +Sorry but all these slides and disliked here. + +70 +00:04:59,950 --> 00:05:07,090 +Remember we come across this I mean fill filter feature feature map. + +71 +00:05:07,210 --> 00:05:12,910 +That was exactly the same size as the image and I had mentioned before that in the previous section + +72 +00:05:13,030 --> 00:05:17,940 +that intuitively you know that wasn't supposed to happen but it did and I didn't explain how. + +73 +00:05:17,980 --> 00:05:22,690 +Now I'm explaining how it's because the reporting was applied in this example here. + +74 +00:05:22,690 --> 00:05:29,510 +So it was Muthalik I disliked. + +75 +00:05:29,570 --> 00:05:30,070 +Right. + +76 +00:05:30,350 --> 00:05:36,030 +So looking at those you're reporting example again we can see how moving this across we end up with + +77 +00:05:36,030 --> 00:05:39,830 +a nice big feature map from the input image. + +78 +00:05:40,010 --> 00:05:44,120 +So now we know that we have all of these parameters here. + +79 +00:05:44,390 --> 00:05:50,290 +We have the cardinal sized up destroyed padding and input image size and we define these as key. + +80 +00:05:50,320 --> 00:05:52,870 +The S&P and I here now. + +81 +00:05:52,910 --> 00:05:56,450 +This isn't actually calculating or convolutional output per se. + +82 +00:05:56,450 --> 00:05:56,840 +All right. + +83 +00:05:56,840 --> 00:05:59,580 +That's actually fairly easy to do if you think about it. + +84 +00:05:59,630 --> 00:06:05,020 +We know exactly what the sizes much here are putting you would need to Munteanu image size. + +85 +00:06:05,030 --> 00:06:08,980 +However if you want to make sure the settings to use here make sense. + +86 +00:06:09,200 --> 00:06:15,730 +There's a simple formula here and it's as I am I keep has to be here over s plus one. + +87 +00:06:15,920 --> 00:06:20,510 +And basically we can use the values in a previous section where we used a five by five image. + +88 +00:06:20,600 --> 00:06:28,400 +So it's going to be five minus tree tree being filter size K plus 2 times 1 to being p which is all + +89 +00:06:28,400 --> 00:06:33,700 +padding which is our putting that just said plus 1. + +90 +00:06:33,710 --> 00:06:41,450 +So that gives us a simple thing here which is 2 plus 2 for 1 plus 1 which is 5 and as long as this formula + +91 +00:06:41,450 --> 00:06:46,310 +gives you an integer value basically you're OK. + +92 +00:06:46,340 --> 00:06:50,890 +So let's move on now to relo which is the activation of choice for CNN. diff --git a/7. Convolutional Neural Networks (CNNs) Explained/5. ReLU.srt b/7. Convolutional Neural Networks (CNNs) Explained/5. ReLU.srt new file mode 100644 index 0000000000000000000000000000000000000000..61eb22aecae3669582045d71cd9fb4fa4934f0b6 --- /dev/null +++ b/7. Convolutional Neural Networks (CNNs) Explained/5. ReLU.srt @@ -0,0 +1,91 @@ +1 +00:00:00,460 --> 00:00:00,800 +OK. + +2 +00:00:00,810 --> 00:00:08,460 +So welcome back to our section on real WHO which is the Activision league of choice for CNN's. + +3 +00:00:08,540 --> 00:00:14,720 +So remember when we talked about Activision layers in our neural network section the purpose of them + +4 +00:00:14,720 --> 00:00:20,540 +was to introduce non linearity to a model and the convolutional process so far as you've seen it is + +5 +00:00:20,540 --> 00:00:22,490 +completely linear. + +6 +00:00:22,490 --> 00:00:28,340 +So we definitely need the activation function to basically add some that needed linear arity. + +7 +00:00:28,340 --> 00:00:33,270 +Why is that so hard to say sometimes to all convolutional neural network. + +8 +00:00:33,290 --> 00:00:36,070 +So let's take a look at what really actually does. + +9 +00:00:36,080 --> 00:00:40,900 +So you remember this graph from Rila basically it's a max function at max 0 function. + +10 +00:00:41,000 --> 00:00:47,960 +What it means here is that any negative value that is operated from a node in a convolutional neural + +11 +00:00:47,960 --> 00:00:58,040 +nets is basically clamped at zero and positive values are passed so passing real to this is a feature + +12 +00:00:58,040 --> 00:00:58,540 +I'm up here. + +13 +00:00:58,540 --> 00:01:03,610 +So imagine that we've we've come from input image here is Mahone's on the left. + +14 +00:01:03,610 --> 00:01:09,700 +Here we apply the Clennell and we got this feature my part of it we haven't played really just yet. + +15 +00:01:09,730 --> 00:01:15,420 +So no applying to this negative 5 negative 5 here and negative 1 all becomes zero. + +16 +00:01:15,580 --> 00:01:18,010 +So this is what really does to our future maps. + +17 +00:01:18,010 --> 00:01:21,270 +So how does this actually look in an image. + +18 +00:01:21,310 --> 00:01:27,010 +This is an example of actually taken from here that if we have a feature map that looks like this with + +19 +00:01:27,070 --> 00:01:32,850 +black being negative and white being positive and it only passed negative values this is what it becomes. + +20 +00:01:32,860 --> 00:01:38,050 +So you can see it still preserves a lot of information in this image here with out maybe some of the + +21 +00:01:38,050 --> 00:01:40,300 +noise that is seen here. + +22 +00:01:40,330 --> 00:01:43,390 +So this is what real real do actually does. + +23 +00:01:44,170 --> 00:01:46,670 +So now let's move on to Section seven point five which is pooing. diff --git a/7. Convolutional Neural Networks (CNNs) Explained/6. Pooling.srt b/7. Convolutional Neural Networks (CNNs) Explained/6. Pooling.srt new file mode 100644 index 0000000000000000000000000000000000000000..b4890e2baf4252942385978656b957c910fd5926 --- /dev/null +++ b/7. Convolutional Neural Networks (CNNs) Explained/6. Pooling.srt @@ -0,0 +1,251 @@ +1 +00:00:01,080 --> 00:00:08,280 +And welcome back to 7.5 which is about pooling This is the next sequence of leads in our CNN so far + +2 +00:00:08,490 --> 00:00:15,240 +we've dealt with convolutional nearly the convolution part and real you know let's look at pulling all + +3 +00:00:15,420 --> 00:00:22,660 +those Monas subsampling spooling as I just said assaults and then a subsampling or downsampling is a + +4 +00:00:22,660 --> 00:00:27,170 +simple process where we reduce the size or dimensionality of the future map. + +5 +00:00:27,280 --> 00:00:31,690 +The purpose of this reductionists reduced number of parameters that we need to train whilst retaining + +6 +00:00:31,690 --> 00:00:36,670 +most of the important features and information in the image. + +7 +00:00:36,870 --> 00:00:39,100 +They are basically tree types of pooling we can apply. + +8 +00:00:39,100 --> 00:00:43,800 +There are actually some Wolper does take a look at these Tree Man types that are used. + +9 +00:00:43,870 --> 00:00:46,250 +So here's an example of Max pooling. + +10 +00:00:46,300 --> 00:00:52,900 +Imagine this is the really outputs from all this input output here was reproduced from the real real + +11 +00:00:52,940 --> 00:00:53,510 +layer. + +12 +00:00:53,800 --> 00:00:57,430 +So you can imagine these values at the zeros here were actually negative values. + +13 +00:00:57,820 --> 00:01:03,790 +So Max bhool basically uses a two by two Kial here we can define the screen size anything we want just + +14 +00:01:03,790 --> 00:01:09,520 +like we did with the straight and of the kernels we used in the convolutional Liya and basically using + +15 +00:01:09,520 --> 00:01:10,530 +a two by two. + +16 +00:01:10,600 --> 00:01:15,250 +It splits up into two by two two by two two by two by two grid. + +17 +00:01:15,580 --> 00:01:24,190 +So what it does Max beling takes it massively out of each tutelary for 167 2:41 and 235 and puts them + +18 +00:01:24,190 --> 00:01:25,380 +into this block here. + +19 +00:01:25,750 --> 00:01:29,270 +So this is what we call downsampling or subsampling. + +20 +00:01:29,320 --> 00:01:35,440 +Basically we have sort of like compressed the image here and retain the most Max important features + +21 +00:01:36,680 --> 00:01:37,470 +actually. + +22 +00:01:37,470 --> 00:01:40,160 +Let's go back to the previous slide and previously. + +23 +00:01:40,210 --> 00:01:42,810 +We mentioned average and sampling. + +24 +00:01:42,850 --> 00:01:48,850 +Now as you can imagine average and sampling would just simply be the average of these values here here + +25 +00:01:49,120 --> 00:01:53,130 +here here and sampling would just be the sum of these values. + +26 +00:01:53,460 --> 00:01:55,090 +So it's also a way we can use pooling. + +27 +00:01:55,090 --> 00:02:01,900 +However in majority of convolutional neural nets we always use maximally. + +28 +00:02:01,940 --> 00:02:04,740 +So this is only so far just to do a recap. + +29 +00:02:04,880 --> 00:02:10,370 +We have an input image with our key and all that is being slid across this image producing multiple + +30 +00:02:10,370 --> 00:02:11,380 +different filters here. + +31 +00:02:11,450 --> 00:02:15,920 +All of it seems much of the same size as the input image and that's because of zero padding. + +32 +00:02:16,250 --> 00:02:22,430 +Then we have a real output which basically is the same size up of matrix as this except all the negative + +33 +00:02:22,430 --> 00:02:23,850 +values into zeros. + +34 +00:02:24,230 --> 00:02:30,470 +And then we have the subsampling are pulling away a lot downsampling which basically reduces this image. + +35 +00:02:30,530 --> 00:02:37,220 +This Sorry this matrix by half 14 by 14 because as you can see using a two by two we have four by four + +36 +00:02:37,360 --> 00:02:41,570 +and we get a two by two and that's still 12 filters. + +37 +00:02:41,750 --> 00:02:44,540 +However they have not been downsampled. + +38 +00:02:44,540 --> 00:02:45,880 +So let's move on now. + +39 +00:02:46,310 --> 00:02:52,100 +So let's talk a bit more about pooling typically pooling is done using two by two windows with a straight + +40 +00:02:52,100 --> 00:02:54,540 +of two and no padding applied. + +41 +00:02:54,560 --> 00:02:58,280 +That's how we actually get this four by four here. + +42 +00:02:58,280 --> 00:03:01,920 +It takes a two by two jump to make two jump and blah blah blah. + +43 +00:03:04,060 --> 00:03:08,170 +So for smaller and put images or larger images we can use larger pools. + +44 +00:03:09,020 --> 00:03:14,530 +Or smaller pools whichever you want to do and using the above settings pooling has the effect of reducing + +45 +00:03:14,530 --> 00:03:16,890 +dimensionality width and height. + +46 +00:03:16,930 --> 00:03:18,330 +Those are the only two dimensions we have. + +47 +00:03:18,340 --> 00:03:22,150 +We reduce the of the previous layer by half. + +48 +00:03:22,330 --> 00:03:26,950 +And to us removing tree quarter or 75 percent of the activations seen in the previously + +49 +00:03:31,290 --> 00:03:32,940 +so keep moving on. + +50 +00:03:32,940 --> 00:03:39,470 +This makes our model more invariant to small or minor transformations or distortions no input image. + +51 +00:03:39,570 --> 00:03:45,000 +Since we're now averaging or taking to max or put from a small area of an image what this actually means + +52 +00:03:45,000 --> 00:03:51,020 +is that we're instead of looking at specific pixels here in an image because we're actually dwindling + +53 +00:03:51,050 --> 00:03:57,480 +sample and looking at a max in an area we sort of add some sort of variance or spatial variance too + +54 +00:03:57,480 --> 00:03:58,150 +awful to say. + +55 +00:03:58,170 --> 00:04:04,800 +So if filters on super specific to certain areas and I remember they being slid across the image. + +56 +00:04:04,800 --> 00:04:10,410 +So imagine this filter have been Slackware's image looking for a specific edge or whatever it can actually + +57 +00:04:11,310 --> 00:04:13,160 +add some invariants Now to it. + +58 +00:04:13,170 --> 00:04:20,490 +So this actually increases do basically the ability of all convolutional model to generalize to information + +59 +00:04:20,490 --> 00:04:21,790 +is never seen before. + +60 +00:04:23,540 --> 00:04:29,450 +So now let's move on to what is kind of to finally the awesomely as in-between of you discussed them + +61 +00:04:29,450 --> 00:04:30,250 +later on. + +62 +00:04:30,410 --> 00:04:35,990 +But for now seeing is of course to CNN and this is the last layer to fully connected. + +63 +00:04:36,030 --> 00:04:36,730 +FCPA. diff --git a/7. Convolutional Neural Networks (CNNs) Explained/7. The Fully Connected Layer.srt b/7. Convolutional Neural Networks (CNNs) Explained/7. The Fully Connected Layer.srt new file mode 100644 index 0000000000000000000000000000000000000000..0b41bfdae9984654d67bb1ba9b4e913cf258242a --- /dev/null +++ b/7. Convolutional Neural Networks (CNNs) Explained/7. The Fully Connected Layer.srt @@ -0,0 +1,143 @@ +1 +00:00:00,600 --> 00:00:06,450 +Hi and welcome to chapter seven point six where I discussed a fully connected Leo and I tell you why + +2 +00:00:06,450 --> 00:00:07,610 +it's important. + +3 +00:00:09,410 --> 00:00:11,010 +So fully connected Liel. + +4 +00:00:11,040 --> 00:00:17,480 +FC Leo and it's also called densely a number of carrots especially but in number of documentation it + +5 +00:00:17,540 --> 00:00:19,680 +did tutorials to call the densely A too. + +6 +00:00:20,010 --> 00:00:24,370 +So previously we saw you know in your own net that all aliens were fully connected. + +7 +00:00:24,560 --> 00:00:25,160 +OK. + +8 +00:00:25,550 --> 00:00:30,070 +Now what does fully connected mean fully connected means that all nodes in one layer are connected to + +9 +00:00:30,070 --> 00:00:31,970 +the outputs of the next layer. + +10 +00:00:31,970 --> 00:00:38,910 +Now that doesn't happen in basically drug CNN except a fully connected stage. + +11 +00:00:39,440 --> 00:00:40,970 +So the fully connected stage here. + +12 +00:00:40,970 --> 00:00:47,490 +Basically it's a layer right here that takes the outputs of the pooling layer and then passes it to + +13 +00:00:47,510 --> 00:00:54,850 +fully connectedly a here which then puts the class probabilities here said FC opposite these class probabilities + +14 +00:00:54,950 --> 00:00:59,410 +and each where basically each one has a probability corresponding to a class. + +15 +00:00:59,570 --> 00:01:01,590 +So you can see PANDA CAT dog. + +16 +00:01:01,670 --> 00:01:05,030 +This is clearly a cat. + +17 +00:01:05,270 --> 00:01:08,090 +So it does this by using the soft max function. + +18 +00:01:08,090 --> 00:01:15,440 +So going back to it here the FCC puts stuff here that goes into a soft max function and the soft Max + +19 +00:01:15,440 --> 00:01:15,740 +punch. + +20 +00:01:15,740 --> 00:01:20,300 +Basically it's what gives it its probabilities because it must sum to one. + +21 +00:01:20,300 --> 00:01:22,600 +And that's exactly what a self-mockery function does. + +22 +00:01:22,850 --> 00:01:23,200 +OK. + +23 +00:01:23,240 --> 00:01:24,600 +We'll take a look at it here. + +24 +00:01:24,950 --> 00:01:30,670 +So Bassett by the way that a soft max function is actually an activation function as well. + +25 +00:01:30,680 --> 00:01:31,670 +Just remember that. + +26 +00:01:32,060 --> 00:01:33,810 +And it turns up at Esslinger. + +27 +00:01:33,890 --> 00:01:36,010 +Lastly are into probabilities. + +28 +00:01:36,050 --> 00:01:43,070 +Let's see the output of FCD it was 2 1 1 playing self-mocking squashes these real valued numbers into + +29 +00:01:43,070 --> 00:01:45,160 +probabilities that sum to 1. + +30 +00:01:45,200 --> 00:01:49,430 +So the output would now be point seven point to 1.1. + +31 +00:01:49,790 --> 00:01:55,250 +So not that we've discussed all the building blocks of the CNN which if you were to go it over now it + +32 +00:01:55,250 --> 00:01:56,980 +would be the convolutional kernel. + +33 +00:01:57,050 --> 00:02:01,570 +It would be to redo the pooling and software for the connectedly. + +34 +00:02:01,660 --> 00:02:03,470 +With the soft Max at the end. + +35 +00:02:03,470 --> 00:02:05,140 +So how do we actually try CNN. + +36 +00:02:05,150 --> 00:02:07,940 +We're now about to move on to that section just 7.7. diff --git a/7. Convolutional Neural Networks (CNNs) Explained/8. Training CNNs.srt b/7. Convolutional Neural Networks (CNNs) Explained/8. Training CNNs.srt new file mode 100644 index 0000000000000000000000000000000000000000..28dff517363c3b07351522ad52d866a950eca46c --- /dev/null +++ b/7. Convolutional Neural Networks (CNNs) Explained/8. Training CNNs.srt @@ -0,0 +1,159 @@ +1 +00:00:00,930 --> 00:00:01,270 +OK. + +2 +00:00:01,290 --> 00:00:06,070 +So we've just discussed all the layers that comprise of CNN. + +3 +00:00:06,090 --> 00:00:14,950 +So now let's talk about how we actually train our CNN's CNN's up basically a type of neural net and + +4 +00:00:14,950 --> 00:00:21,760 +they lend themselves perfectly to image classification and basically a spatial image features but because + +5 +00:00:21,760 --> 00:00:29,260 +of the max pulling and multiple filters it is very basically somewhat scale and distortion invariant. + +6 +00:00:29,320 --> 00:00:36,790 +So this is an illustration of the features feature maps that a CNN lens is taken from this link here. + +7 +00:00:36,910 --> 00:00:38,290 +Check it out. + +8 +00:00:38,290 --> 00:00:43,820 +So essentially you can see the beginning convolutional what it really is is basically this is input + +9 +00:00:44,200 --> 00:00:47,270 +and this is close to the output or the output itself. + +10 +00:00:47,350 --> 00:00:51,260 +So you can see the early filters Lynn basically simple. + +11 +00:00:51,270 --> 00:00:54,070 +Basically edge detectors are pattern recognizers. + +12 +00:00:54,340 --> 00:00:59,350 +However the mid-level features are a bit more abstract and a bit more complicated. + +13 +00:00:59,380 --> 00:01:03,040 +You see these streetwear lines here something that looks like a eyeball. + +14 +00:01:03,040 --> 00:01:04,280 +It might even show where it is. + +15 +00:01:04,330 --> 00:01:06,670 +Could be a wheel actually. + +16 +00:01:06,790 --> 00:01:12,520 +And then as we go for the next layer of convolutional filters remember I said you can have multiple + +17 +00:01:12,520 --> 00:01:17,930 +layers of them in multiple sequences of convolutional is what this is exactly an illustration of that. + +18 +00:01:17,980 --> 00:01:20,580 +And as you can see the patents get much more detailed. + +19 +00:01:20,950 --> 00:01:24,950 +And basically this is how neural nets are CNN's I should say. + +20 +00:01:25,180 --> 00:01:30,610 +This is how the filters actually live and this is what they pick up in images later on in about two + +21 +00:01:30,610 --> 00:01:31,960 +or three chapters from now. + +22 +00:01:32,110 --> 00:01:39,780 +We're going to do some visualizations of it when so basically just a quick review of CNN's. + +23 +00:01:39,790 --> 00:01:47,610 +Again an old is convolution Plus real than here and pooling than we can do convolution and again then + +24 +00:01:47,630 --> 00:01:55,650 +more pooling and then pass everything to fully connectedly which outputs a class probabilities. + +25 +00:01:55,650 --> 00:01:58,250 +So how do we train CNN's. + +26 +00:01:58,290 --> 00:02:02,740 +So just like in that streaming CNN is essentially the same thing. + +27 +00:02:02,910 --> 00:02:03,640 +OK. + +28 +00:02:03,840 --> 00:02:09,750 +So we have a random weird initialization of the convolutional gunnels that's all all the Reynolds we + +29 +00:02:09,750 --> 00:02:13,500 +described before they basically start with random values. + +30 +00:02:13,500 --> 00:02:19,110 +Then we follow propagate an image one sample image trail and network that goes Judaists all these layers + +31 +00:02:19,110 --> 00:02:24,090 +here and we get the arrow arrow being basically a class probabilities. + +32 +00:02:24,090 --> 00:02:29,630 +So let's say we were looking for an output of point to point four point four when the tubo probabilities + +33 +00:02:29,640 --> 00:02:36,750 +with this basically unclasp probabilities you wanted to be as close to this as possible way it's very + +34 +00:02:36,750 --> 00:02:41,060 +sure it's in one category and very little probability any other categories. + +35 +00:02:42,360 --> 00:02:49,270 +So then we similarly we apply a last function positron optimizer and use back propagation. + +36 +00:02:49,400 --> 00:02:50,220 +Ditto gradients. + +37 +00:02:50,280 --> 00:02:52,890 +I agree and dissent and we keep doing this. + +38 +00:02:52,890 --> 00:02:58,680 +We keep propagating all the images true and that work till we complete an epoch and then keep completing + +39 +00:02:58,860 --> 00:03:02,050 +ebox until accuracy and loss are satisfactory. + +40 +00:03:03,380 --> 00:03:06,530 +So now let's take a look at how we actually design and CNN's. diff --git a/7. Convolutional Neural Networks (CNNs) Explained/9. Designing Your Own CNN.srt b/7. Convolutional Neural Networks (CNNs) Explained/9. Designing Your Own CNN.srt new file mode 100644 index 0000000000000000000000000000000000000000..d3cffa1a961fbc0493f85e6b76e269d7d94d0b24 --- /dev/null +++ b/7. Convolutional Neural Networks (CNNs) Explained/9. Designing Your Own CNN.srt @@ -0,0 +1,219 @@ +1 +00:00:00,360 --> 00:00:00,760 +OK. + +2 +00:00:00,780 --> 00:00:09,390 +So welcome to Chapter Seven point it where we talk about how we design and CNN's and Leah Patten's involved. + +3 +00:00:09,420 --> 00:00:15,960 +So basically all basic CNN's we're not talking about exotic CNN's here which you will get exposed to + +4 +00:00:15,960 --> 00:00:16,880 +later on. + +5 +00:00:16,890 --> 00:00:18,170 +Follow the sequence. + +6 +00:00:18,180 --> 00:00:24,570 +You have an input convolution really to apply to the convolution output pooling applied to really put + +7 +00:00:25,610 --> 00:00:30,890 +pooling goes to the f.c layer and F.C. live with soft Max gives us the opposite. + +8 +00:00:30,900 --> 00:00:32,250 +That's basically it. + +9 +00:00:32,250 --> 00:00:38,520 +And basically when we talk about deep convolutional neural networks we talk about multiple convolution + +10 +00:00:38,520 --> 00:00:39,780 +really pulling layers. + +11 +00:00:39,960 --> 00:00:42,810 +So you can have sequences of one to a tree. + +12 +00:00:42,810 --> 00:00:48,740 +This really is over and over and over again till we get to the FCPA. + +13 +00:00:49,020 --> 00:00:50,540 +So he has a basic design rules. + +14 +00:00:50,530 --> 00:00:51,180 +OK. + +15 +00:00:51,470 --> 00:00:53,520 +In Pedley is typically our square. + +16 +00:00:53,520 --> 00:00:57,480 +So with this 28 by 28 or 64 by 64. + +17 +00:00:57,780 --> 00:01:02,980 +Now this isn't necessary but it simplifies our design and speeds up our matrix calculations. + +18 +00:01:03,000 --> 00:01:08,850 +So if you have images of all different sizes it will be best if you just resize them all to one standard + +19 +00:01:08,850 --> 00:01:15,540 +size of an input should be divisible by four which allows for downsampling. + +20 +00:01:16,170 --> 00:01:20,150 +OK that's Max Boulia guess you forgot with the stride of 2. + +21 +00:01:20,250 --> 00:01:26,540 +So we tend to keep these basically these these values are divisible by 4 filters are typically small + +22 +00:01:26,730 --> 00:01:31,620 +eat a tree by tree or five by five but they can easily be 7 by 7 1 9 9. + +23 +00:01:31,630 --> 00:01:34,600 +So don't let me stop you from triangles filter sizes. + +24 +00:01:34,780 --> 00:01:36,370 +Stride is typically one or two. + +25 +00:01:36,460 --> 00:01:38,310 +I usually use straight of one. + +26 +00:01:38,530 --> 00:01:41,820 +However if the inputs are large you can get away with a stride of two. + +27 +00:01:42,040 --> 00:01:48,960 +Zero padding is usually always use at or convolutional upwardly as the same size as the input and OMX + +28 +00:01:48,970 --> 00:01:50,480 +book is typically two by two. + +29 +00:01:50,520 --> 00:01:57,730 +I said previously appear and drop out which we will discuss for is a very very useful technique and + +30 +00:01:57,790 --> 00:02:04,840 +easy to imply devoid of overfitting in CNN's So part two of this slide. + +31 +00:02:04,870 --> 00:02:06,980 +So the more hidden layers the more features. + +32 +00:02:07,030 --> 00:02:07,680 +OK. + +33 +00:02:07,960 --> 00:02:14,350 +That basically makes sense because obviously each time you do a convolution by called Vision know you're + +34 +00:02:14,350 --> 00:02:17,820 +getting a bunch of filters which obviously means more features. + +35 +00:02:18,160 --> 00:02:24,460 +So we want if all data set is complicated we want to have maybe at least two or three sequences of convolutional + +36 +00:02:24,840 --> 00:02:26,600 +list that means this. + +37 +00:02:26,610 --> 00:02:32,190 +This here is to redo our vision blink at least three maybe two. + +38 +00:02:32,500 --> 00:02:37,780 +And that way this is a sequence input can really pool Convery will pool again. + +39 +00:02:38,290 --> 00:02:44,250 +And basically this allows us to learn low level features here in mid-level or high level features here. + +40 +00:02:44,410 --> 00:02:49,800 +So basically this is some examples of CNN's who will be actually building and of course as Alex net + +41 +00:02:49,870 --> 00:02:54,820 +which is one of the most famous CNNs here this is an example of how it's constructed you can take a + +42 +00:02:54,820 --> 00:02:59,910 +look at it here the parameters used Stryder for interesting. + +43 +00:03:00,040 --> 00:03:01,410 +So you can take a look. + +44 +00:03:01,530 --> 00:03:06,440 +All right as you see here they're actually two fully connected layers and you can actually do that too. + +45 +00:03:06,450 --> 00:03:11,980 +Basically you can have consecutive densely as a fully connected layers and doesn't even have to have + +46 +00:03:11,980 --> 00:03:13,070 +the same number of values. + +47 +00:03:13,180 --> 00:03:13,700 +OK. + +48 +00:03:15,660 --> 00:03:17,890 +It's another one we'll be making in discourse. + +49 +00:03:17,890 --> 00:03:19,780 +We will be making it and using it. + +50 +00:03:19,890 --> 00:03:24,460 +Pretorian model we aren't going to train Fiji or EGD at 19. + +51 +00:03:24,460 --> 00:03:27,920 +It is and see only parameter intensive. + +52 +00:03:28,130 --> 00:03:36,290 +And basically I mean like Tozan millions millions of parameters and it takes a while to train. + +53 +00:03:36,310 --> 00:03:41,690 +OK so now you're ready to actually start building convolutional your own that's curious. + +54 +00:03:41,680 --> 00:03:45,260 +This is the exciting part of the course and it's actually quite easy. + +55 +00:03:45,280 --> 00:03:47,400 +So let's get down to it. diff --git a/8. Build CNNs in Python using Keras/1. Building a CNN in Keras.srt b/8. Build CNNs in Python using Keras/1. Building a CNN in Keras.srt new file mode 100644 index 0000000000000000000000000000000000000000..ba1252250d202ebc4fc2a6f13980824f4897ed42 --- /dev/null +++ b/8. Build CNNs in Python using Keras/1. Building a CNN in Keras.srt @@ -0,0 +1,59 @@ +1 +00:00:02,620 --> 00:00:08,300 +Hi and welcome to chapter 8 where we actually get to build a CNN Karris. + +2 +00:00:08,350 --> 00:00:10,410 +So this is going to be an exciting chapter. + +3 +00:00:10,420 --> 00:00:12,120 +And here's what we're going to learn. + +4 +00:00:12,310 --> 00:00:15,560 +Fiercly brief introduction to Chris intenser flow. + +5 +00:00:15,580 --> 00:00:20,820 +What they are and how we used them how we start building handwriting recognition. + +6 +00:00:20,850 --> 00:00:26,700 +Basically our approach to this problem how we look at our data how we get our data in the right shape + +7 +00:00:26,760 --> 00:00:36,450 +or format for Chris what is hot one in coding how we build and compile or model how we train or classify + +8 +00:00:36,900 --> 00:00:38,720 +how we plothole loss accuracy. + +9 +00:00:38,720 --> 00:00:42,750 +So we've seen before what we see of it on model. + +10 +00:00:42,750 --> 00:00:47,010 +So after we train it we can save it and reuse it any time we want. + +11 +00:00:47,010 --> 00:00:48,300 +How do you display. + +12 +00:00:48,420 --> 00:00:50,220 +Basically our model visually. + +13 +00:00:50,250 --> 00:00:53,490 +So it's like a architecture blueprint of our model. + +14 +00:00:54,180 --> 00:01:01,300 +And basically how we actually can now build another image classifier using the c14 data set. + +15 +00:01:01,320 --> 00:01:02,380 +So let's get started. diff --git a/8. Build CNNs in Python using Keras/10. Saving and Loading Your Model.srt b/8. Build CNNs in Python using Keras/10. Saving and Loading Your Model.srt new file mode 100644 index 0000000000000000000000000000000000000000..e7e2a4f293e159a8269a01986315debc100149d7 --- /dev/null +++ b/8. Build CNNs in Python using Keras/10. Saving and Loading Your Model.srt @@ -0,0 +1,203 @@ +1 +00:00:00,430 --> 00:00:00,850 +OK. + +2 +00:00:00,880 --> 00:00:04,340 +So let's talk about how we save our models that we just trained. + +3 +00:00:04,380 --> 00:00:08,020 +We spend some time training a model and we don't want to lose this model in clothes. + +4 +00:00:08,040 --> 00:00:09,000 +I buy the book. + +5 +00:00:09,000 --> 00:00:13,350 +So let's figure out how we save and load our models. + +6 +00:00:13,390 --> 00:00:15,790 +OK so we just spend so much time printing our model. + +7 +00:00:15,810 --> 00:00:17,890 +So let's get to saving it now. + +8 +00:00:17,930 --> 00:00:24,780 +So if you scroll down below these charts to see if she's part of the model object you just specified + +9 +00:00:24,830 --> 00:00:27,000 +directory and file him as you want. + +10 +00:00:27,000 --> 00:00:33,570 +So basically we can just call this chapter 8 which is from 8 here eminence simple CNN Tennie box can + +11 +00:00:33,570 --> 00:00:36,080 +actually put on display here make it look a little bit nicer. + +12 +00:00:36,510 --> 00:00:39,780 +And voila it saved instantly. + +13 +00:00:39,780 --> 00:00:46,770 +So now if you want to redo it on what all this is into and you found him here and we use Chris's model + +14 +00:00:46,890 --> 00:00:48,720 +which is part of the models library here. + +15 +00:00:49,200 --> 00:00:55,890 +And this basically this is what's strange to most people loading isn't as instantaneous as saving and + +16 +00:00:55,890 --> 00:01:00,990 +that's because it has to actually unpack everything now and put it back into the model format. + +17 +00:01:01,020 --> 00:01:06,150 +It's a bit tricky to understand I actually spend some time trying to figure it out because I had a project + +18 +00:01:06,150 --> 00:01:11,840 +where I was loading 50 different models at once and it was taking maybe about five 10 minutes to live + +19 +00:01:11,840 --> 00:01:13,130 +with all of them together. + +20 +00:01:13,530 --> 00:01:14,940 +So let's just run this quickly. + +21 +00:01:15,600 --> 00:01:16,510 +And there we go. + +22 +00:01:16,520 --> 00:01:17,930 +Stick what 15 seconds. + +23 +00:01:18,340 --> 00:01:22,860 +And so there's no snow or model which was called the model before. + +24 +00:01:22,890 --> 00:01:24,280 +It's called classifier. + +25 +00:01:24,690 --> 00:01:30,270 +And now we can use it here classify it just like we were using model before they are interchangeable + +26 +00:01:30,270 --> 00:01:33,080 +now because our model is effectively classified. + +27 +00:01:33,080 --> 00:01:34,660 +It's just a different name. + +28 +00:01:34,680 --> 00:01:40,510 +What I mean by that is you see how we declared this as a model equals sequential No what we've related + +29 +00:01:40,510 --> 00:01:41,220 +to our model. + +30 +00:01:41,220 --> 00:01:44,160 +I didn't want to overwrite what we had see if it was a model. + +31 +00:01:44,250 --> 00:01:48,160 +So effectively model is now as we have seen it and loaded it. + +32 +00:01:48,180 --> 00:01:52,730 +It's now effectively Plus a classified called classify. + +33 +00:01:52,770 --> 00:01:53,600 +Should say. + +34 +00:01:53,880 --> 00:01:57,630 +And we can load it here and basically run some tests. + +35 +00:01:57,640 --> 00:01:58,800 +This has an error in it. + +36 +00:01:58,800 --> 00:02:01,280 +Him just to leave this quickly. + +37 +00:02:02,560 --> 00:02:04,940 +And it should work fine now. + +38 +00:02:04,980 --> 00:02:05,490 +There we go. + +39 +00:02:05,570 --> 00:02:07,940 +So we're actually running some test animals here. + +40 +00:02:07,940 --> 00:02:09,630 +So this is a zero a tree. + +41 +00:02:09,650 --> 00:02:13,740 +It can see how accurate this model is. + +42 +00:02:13,760 --> 00:02:14,530 +It's quite cool. + +43 +00:02:15,500 --> 00:02:19,050 +And it actually looks and what it actually is because it's a bit tilted. + +44 +00:02:19,430 --> 00:02:20,130 +So that's good. + +45 +00:02:20,200 --> 00:02:20,660 +It's great. + +46 +00:02:20,660 --> 00:02:27,740 +Actually we've just trained we've just loaded and trained and tested and plotted and analyzed and done + +47 +00:02:27,800 --> 00:02:30,470 +all of the settings for this model. + +48 +00:02:30,470 --> 00:02:34,940 +So if you wanted to put it all together because you don't actually need to have every block separate + +49 +00:02:34,940 --> 00:02:40,130 +like this this was basically for teaching purposes I actually never separate these things that much + +50 +00:02:42,060 --> 00:02:47,780 +but let's put it all together so quickly you can see this is everything here and you run this and you + +51 +00:02:47,780 --> 00:02:49,990 +basically start training instantaneously. diff --git a/8. Build CNNs in Python using Keras/11. Displaying Your Model Visually.srt b/8. Build CNNs in Python using Keras/11. Displaying Your Model Visually.srt new file mode 100644 index 0000000000000000000000000000000000000000..c504663a5dde078eda81f3a5c40017100ebe7d46 --- /dev/null +++ b/8. Build CNNs in Python using Keras/11. Displaying Your Model Visually.srt @@ -0,0 +1,183 @@ +1 +00:00:01,580 --> 00:00:07,310 +And welcome to chapter 8 point 1 0 where we're actually going to use curus to display a visual output + +2 +00:00:07,460 --> 00:00:08,420 +or model. + +3 +00:00:08,650 --> 00:00:12,950 +So remember before previously I was drawing all this nice visualization of our model. + +4 +00:00:13,220 --> 00:00:18,640 +Well carrots can actually do something not quite as nice as this but it produces a pretty decent model + +5 +00:00:18,660 --> 00:00:22,730 +visualization that helps you basically show people and explain your model. + +6 +00:00:22,910 --> 00:00:24,240 +So let's see how we do it. + +7 +00:00:24,290 --> 00:00:26,220 +Let's go back to what I thought in the book. + +8 +00:00:26,500 --> 00:00:26,840 +OK. + +9 +00:00:26,870 --> 00:00:32,630 +So now we're about to visualize our model so to visualize our model we need to import this library from + +10 +00:00:32,680 --> 00:00:34,200 +Carousel dysfunction. + +11 +00:00:34,280 --> 00:00:39,680 +It's called plot model and it's found in Cara's utilities thought visualization utilities vid's underscore + +12 +00:00:39,680 --> 00:00:41,220 +utilities for short. + +13 +00:00:41,240 --> 00:00:43,980 +So what we do we create or recreate or model first. + +14 +00:00:44,030 --> 00:00:49,430 +We don't necessarily have to do this but it's good practice just in case we didn't do it before and + +15 +00:00:49,450 --> 00:00:53,370 +it previously as in the previous cells and this I Pitre notebook. + +16 +00:00:53,390 --> 00:00:59,800 +So let's go ahead and run the slime on this block and we get this table which is our same model output + +17 +00:00:59,810 --> 00:01:00,610 +from before. + +18 +00:01:00,770 --> 00:01:01,740 +All right. + +19 +00:01:01,970 --> 00:01:04,370 +This in itself is a pretty decent visualization. + +20 +00:01:04,370 --> 00:01:06,970 +However it's not like a visual diagram. + +21 +00:01:07,220 --> 00:01:09,380 +What we're going to do is produce a visual Vaga now. + +22 +00:01:09,440 --> 00:01:15,320 +So to do this we use a plot model function and a plot modeled function basically takes a model that + +23 +00:01:15,340 --> 00:01:20,820 +we find here we take we enter a pot for the file to be saved. + +24 +00:01:20,870 --> 00:01:25,550 +So we just use this path here which is the way our train models are saved and we give it a phylum model + +25 +00:01:25,550 --> 00:01:30,720 +and scale plot PNB we can be more descriptive and give it like this model. + +26 +00:01:30,740 --> 00:01:31,510 +All right. + +27 +00:01:32,060 --> 00:01:34,860 +And then after we use matplotlib to actually show. + +28 +00:01:34,880 --> 00:01:40,220 +So we just point matplotlib here that image directory of where we see that and we plotted here and it + +29 +00:01:40,220 --> 00:01:42,140 +comes up below right here. + +30 +00:01:42,200 --> 00:01:43,500 +So let's see how this works. + +31 +00:01:43,520 --> 00:01:48,990 +Let's run this block and then we go here's a nice model visualization. + +32 +00:01:49,040 --> 00:01:54,530 +What's cool about this is that we have inputs and outputs coming in and out is actually quite nice. + +33 +00:01:54,530 --> 00:01:55,970 +This is basically a random number. + +34 +00:01:55,970 --> 00:02:00,990 +Never have been able to figure out what this number actually is pretty much ignored for now. + +35 +00:02:01,040 --> 00:02:01,820 +What school is that. + +36 +00:02:01,820 --> 00:02:04,160 +We actually have Olias coming in here. + +37 +00:02:04,280 --> 00:02:07,780 +We have all kinds of layers tool is here Max pooling. + +38 +00:02:07,840 --> 00:02:13,050 +It shows input outputs what dropout does doesn't change a thing just drops out some layers. + +39 +00:02:13,250 --> 00:02:19,330 +While training Flaten which we know what it does now are dense connections here or drop out again and + +40 +00:02:19,330 --> 00:02:21,130 +are fully connectedly the end here. + +41 +00:02:21,200 --> 00:02:23,390 +Which is also for the connectedly here. + +42 +00:02:23,930 --> 00:02:25,260 +And basically this is it. + +43 +00:02:25,340 --> 00:02:30,190 +So if you were to go to this directory here let's go to the planning directory. + +44 +00:02:30,290 --> 00:02:32,110 +Let's go to train models. + +45 +00:02:32,330 --> 00:02:41,420 +We can see here it is and it's clearer and sharper than I in the book being a DNG file and that's it. + +46 +00:02:41,420 --> 00:02:43,130 +So we've just successfully saved. diff --git a/8. Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.srt b/8. Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.srt new file mode 100644 index 0000000000000000000000000000000000000000..a8a06a605c629adce7c33985bb28d6dc9fe6d121 --- /dev/null +++ b/8. Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.srt @@ -0,0 +1,467 @@ +1 +00:00:02,190 --> 00:00:07,970 +OK so you've just finished looking at your honest dataset you're a first model. + +2 +00:00:08,070 --> 00:00:13,050 +So basically you've imported the data you've created your model you've trained it and if you've analyzed + +3 +00:00:13,050 --> 00:00:17,310 +the results you've seen that you've loaded it and you've tested it on some really low. + +4 +00:00:17,640 --> 00:00:19,500 +So now let's do the same for Safar 10. + +5 +00:00:19,530 --> 00:00:23,290 +We're not going to break it down into all the steps together and we're actually going to show you know + +6 +00:00:23,310 --> 00:00:26,220 +how we actually just do it all in one sequence of code. + +7 +00:00:26,370 --> 00:00:29,180 +Similarly to what we did at the end of the chapter. + +8 +00:00:29,500 --> 00:00:31,230 +But now a different data set. + +9 +00:00:31,230 --> 00:00:32,840 +So let's get to it. + +10 +00:00:32,970 --> 00:00:35,290 +But first let's talk a bit about c14. + +11 +00:00:35,340 --> 00:00:41,430 +So foughten basically it's a huge image data set to get support 60000 images as well or maybe more. + +12 +00:00:41,790 --> 00:00:48,210 +And basically it has 10 classes here Epley an automobile blade cat or dog frog horse chip truck. + +13 +00:00:48,210 --> 00:00:53,760 +These are some sample images in it and we're going to try and classify that actually the techs what + +14 +00:00:53,760 --> 00:00:55,050 +is seen in the image. + +15 +00:00:55,050 --> 00:00:59,350 +So if you showed a picture of a car should notice a car a dog should know it's a dog. + +16 +00:00:59,580 --> 00:01:01,170 +And for the other categories here. + +17 +00:01:01,260 --> 00:01:02,430 +So let's get to it. + +18 +00:01:03,650 --> 00:01:04,020 +OK. + +19 +00:01:04,050 --> 00:01:11,110 +So opening our 8.1 one building a CNN image justification Safad 10 that's a violation on the books. + +20 +00:01:11,140 --> 00:01:12,350 +The book full the here. + +21 +00:01:12,990 --> 00:01:15,070 +Basically I just defined the categories again. + +22 +00:01:15,150 --> 00:01:17,360 +And now we get straight to it. + +23 +00:01:17,490 --> 00:01:19,110 +Let's just go through this quickly. + +24 +00:01:19,140 --> 00:01:22,650 +We have all our imports here probably some that aren't even necessary. + +25 +00:01:22,650 --> 00:01:25,270 +I tend to do that sometimes and I'm testing stuff. + +26 +00:01:25,350 --> 00:01:28,430 +My boss gets irritated with me quite a bit for that. + +27 +00:01:28,450 --> 00:01:29,840 +But fair enough. + +28 +00:01:29,850 --> 00:01:31,870 +I still do it from time to time. + +29 +00:01:31,920 --> 00:01:33,360 +We have a size. + +30 +00:01:33,420 --> 00:01:35,650 +We have a number of classes we have. + +31 +00:01:35,770 --> 00:01:40,930 +He parks it in right here which we imported from here as well. + +32 +00:01:40,980 --> 00:01:44,920 +We just display our ships just to get a handle on what we're doing with our data. + +33 +00:01:44,970 --> 00:01:51,840 +It's always a good idea to see just quantify how many data sets are called because your dataset. + +34 +00:01:51,900 --> 00:01:55,110 +What's the shape what's the size of your test data set as well. + +35 +00:01:55,530 --> 00:02:01,620 +So then we just do a quick formatting here because if turn is true dimensions we do actually have to + +36 +00:02:01,620 --> 00:02:03,040 +add the mentioned on to it. + +37 +00:02:03,050 --> 00:02:07,830 +It just comes up automatically here and then we just change it to float. + +38 +00:02:07,830 --> 00:02:14,580 +We divide by 255 and we change the training to to test labels on the training labels too categorical + +39 +00:02:14,580 --> 00:02:16,280 +or hot one in coding it. + +40 +00:02:16,530 --> 00:02:21,540 +We define our model here which is basically this should be the same model as we did before. + +41 +00:02:21,540 --> 00:02:28,740 +But I think I've added in yet I did it in two more convolution layers here also what's different about + +42 +00:02:28,740 --> 00:02:34,770 +this model is that we have the two filters and the two filters here for the fisty convolutional is that + +43 +00:02:34,780 --> 00:02:37,350 +we have the activation defined outside of it. + +44 +00:02:37,590 --> 00:02:43,620 +I actually have done that on purpose because I remember when I was creating the stable model I actually + +45 +00:02:43,620 --> 00:02:47,300 +wanted to shoot is a variety of ways to actually create these models. + +46 +00:02:47,310 --> 00:02:48,690 +This isn't meant to confuse you. + +47 +00:02:48,690 --> 00:02:53,940 +This is meant to actually show you that Karatz is very flexible and you will find a lot of example Cara's + +48 +00:02:53,970 --> 00:03:00,000 +good where sometimes people find the activation as outside of the conflict here and some names is added + +49 +00:03:00,010 --> 00:03:04,650 +in here you can easily have just gone put activation equal real you here as well. + +50 +00:03:04,770 --> 00:03:07,020 +So going back to this we have to convert. + +51 +00:03:07,050 --> 00:03:13,200 +So a second call here really Max puling dropout and we have two more convolutional is here each with + +52 +00:03:13,200 --> 00:03:19,330 +64 filters and activations relo Max spooling and drop out here again and we flatten everything. + +53 +00:03:19,380 --> 00:03:22,260 +And now we have a much larger dense layer here. + +54 +00:03:22,500 --> 00:03:27,750 +This puts the specific next to 512 notes and then it goes to reload again. + +55 +00:03:27,810 --> 00:03:33,780 +And then we have it connected here to this number of glasses which is 10 which we defined above and + +56 +00:03:33,780 --> 00:03:36,260 +we use a different optimizer. + +57 +00:03:36,660 --> 00:03:41,370 +Armis Propp and it's defined outside here we compile a model and print it. + +58 +00:03:41,400 --> 00:03:44,120 +So let's print this and see how it looks. + +59 +00:03:44,520 --> 00:03:45,210 +Very nice. + +60 +00:03:45,210 --> 00:03:48,740 +And as you can see even though this model is more complicated. + +61 +00:03:48,750 --> 00:03:51,890 +Number of promises doesn't increase that much which is good to know. + +62 +00:03:52,140 --> 00:03:56,630 +It's always good to know to check a number of parameters in the model because the more premises they + +63 +00:03:56,640 --> 00:03:58,700 +are usually the longer it takes to train. + +64 +00:03:59,740 --> 00:04:04,440 +And you can train your model here and we just renamed it so I don't delete the previous models trend + +65 +00:04:05,260 --> 00:04:06,800 +and basically run this. + +66 +00:04:06,850 --> 00:04:08,160 +I'm going to run this now. + +67 +00:04:10,340 --> 00:04:11,290 +There we go. + +68 +00:04:11,340 --> 00:04:16,920 +Sick as you can see because the images are bigger even though this data set as you saw has only 50000 + +69 +00:04:16,940 --> 00:04:21,240 +I said 6:6 it doesn't before but does because I added the test and training. + +70 +00:04:22,010 --> 00:04:30,130 +So we are training on 50000 images here and it's honestly not going that slow for CPE use a super training. + +71 +00:04:30,230 --> 00:04:36,380 +We're going to do maybe about 10 epoxied I believe I said it at Ahwahnee book actually just for experimental + +72 +00:04:36,380 --> 00:04:40,100 +purposes and you probably you're already seeing that. + +73 +00:04:40,490 --> 00:04:46,560 +Basically an untrained classifier basically guessing would give you 10 percent accuracy one intentions + +74 +00:04:47,120 --> 00:04:53,210 +and we're already close to 1 in 2 chance of 20 percent accuracy one in five chance of getting it right. + +75 +00:04:53,250 --> 00:04:56,570 +When the training data sets you can see our model models slowly improving and we have a long way to + +76 +00:04:56,570 --> 00:04:57,160 +go. + +77 +00:04:57,170 --> 00:04:58,510 +We just want it back. + +78 +00:04:58,790 --> 00:05:03,040 +So what leaves us I'll leave this view as an exercise. + +79 +00:05:03,100 --> 00:05:08,450 +Once you two actually trained us for different monkeypox training maybe even change up some parameters + +80 +00:05:08,450 --> 00:05:09,940 +here to start playing with us. + +81 +00:05:09,950 --> 00:05:15,650 +It's quite fun playing with learning learning rates as well and can change it to the kids. + +82 +00:05:15,650 --> 00:05:17,480 +Basically how much the leading grade decreases. + +83 +00:05:17,480 --> 00:05:20,510 +I'll explain these concepts later on in others lives. + +84 +00:05:20,600 --> 00:05:26,030 +But for now I just know that we have a variety of things we can tweak and deep learning is basically + +85 +00:05:26,540 --> 00:05:32,750 +people say it's an art form and it kind of is because it's so many variations variations that are dependent + +86 +00:05:32,750 --> 00:05:33,550 +on each other. + +87 +00:05:33,980 --> 00:05:40,520 +You can simply change some layers here a number of layers change sizes change this and there's no hard + +88 +00:05:40,520 --> 00:05:43,930 +science that defines what to do to get the best results. + +89 +00:05:44,060 --> 00:05:49,490 +Mainly because it all depends on your dataset and your dataset is basically naturally occurring images + +90 +00:05:49,940 --> 00:05:53,190 +which have so much naturally a naturally occurring variety in them. + +91 +00:05:53,570 --> 00:05:58,970 +So it's once you can understand your data you can start figuring out how you should treat these parameters + +92 +00:05:59,470 --> 00:06:04,700 +and I'll discuss these things later on in the slides as we build more and more complicated pacifies + +93 +00:06:07,430 --> 00:06:11,730 +so left it could be to plot your charts here and you can run some tests as well. + +94 +00:06:11,730 --> 00:06:14,440 +So for now I'm going to just stop this quickly + +95 +00:06:17,950 --> 00:06:24,970 +what I'm going to do is I'm going to just load Hopefully all the imports I needed a little model train + +96 +00:06:24,990 --> 00:06:27,330 +before and let's see if it works. + +97 +00:06:28,590 --> 00:06:31,110 +Now it did not work because X isn't defined. + +98 +00:06:31,110 --> 00:06:36,780 +So what we can do is just quickly run this block here because X to us and X train and all those things + +99 +00:06:36,780 --> 00:06:37,310 +are here. + +100 +00:06:39,000 --> 00:06:42,400 +And we can run this and this brings up this window. + +101 +00:06:42,570 --> 00:06:44,430 +Here it is. + +102 +00:06:44,430 --> 00:06:45,640 +So clearly this isn't a frog. + +103 +00:06:45,690 --> 00:06:49,550 +This is probably a bit and then to it. + +104 +00:06:49,560 --> 00:06:50,510 +This is not a dog. + +105 +00:06:50,760 --> 00:06:51,550 +This is a dog. + +106 +00:06:51,580 --> 00:06:53,010 +This is a horse not a cat. + +107 +00:06:53,010 --> 00:06:53,510 +This is a frog. + +108 +00:06:53,520 --> 00:06:55,130 +Yes automobile. + +109 +00:06:55,140 --> 00:06:55,780 +Yes. + +110 +00:06:55,980 --> 00:06:57,420 +Yes automobile. + +111 +00:06:57,570 --> 00:06:59,290 +Not a frog. + +112 +00:07:00,180 --> 00:07:05,580 +So we can see businesses 10 10 samples this model they trained here before which I probably trained + +113 +00:07:05,610 --> 00:07:09,560 +maybe just 10 ebox has about 50 percent accuracy. + +114 +00:07:09,660 --> 00:07:16,140 +So let's see if he can be debt accuracy on Safar has reached very very high like 99 percent. + +115 +00:07:16,140 --> 00:07:17,250 +Let's see if you can get that. + +116 +00:07:17,250 --> 00:07:18,510 +Get it out on your own. + +117 +00:07:18,750 --> 00:07:19,570 +Good luck. diff --git a/8. Build CNNs in Python using Keras/2. Introduction to Keras & Tensorflow.srt b/8. Build CNNs in Python using Keras/2. Introduction to Keras & Tensorflow.srt new file mode 100644 index 0000000000000000000000000000000000000000..b66169767a8691b5199ceca37dec5b20c0a076e4 --- /dev/null +++ b/8. Build CNNs in Python using Keras/2. Introduction to Keras & Tensorflow.srt @@ -0,0 +1,703 @@ +1 +00:00:00,960 --> 00:00:03,370 +So welcome back to chapter eight point one. + +2 +00:00:03,390 --> 00:00:06,190 +We introduce you to Chris and. + +3 +00:00:08,000 --> 00:00:09,660 +So what exactly is Karris. + +4 +00:00:09,660 --> 00:00:15,060 +I've mentioned it countless times on this course but I haven't actually told you precisely what it is. + +5 +00:00:15,200 --> 00:00:21,170 +So careless is a high level neural network API for Python and it makes constructing neural networks + +6 +00:00:21,260 --> 00:00:25,370 +all types not just CNNs but all types of neural networks. + +7 +00:00:25,490 --> 00:00:31,760 +It makes it extremely easy and extremely Margiela just to Adli as Swapan stuff change different things + +8 +00:00:32,480 --> 00:00:36,770 +configure your loss functions configure your different types of activation functions. + +9 +00:00:36,770 --> 00:00:38,720 +It's quite nice. + +10 +00:00:38,870 --> 00:00:45,410 +It has the ability to use of flow S.A.G. which is used for natural language processing and Tiano which + +11 +00:00:45,440 --> 00:00:47,180 +I use use quite a bit of the data. + +12 +00:00:47,360 --> 00:00:51,690 +However I've now moved intensively and I haven't looked back not because I it is bad. + +13 +00:00:51,930 --> 00:00:59,000 +Just basically stopped is has stopped being updated now project has pretty much done and closed and + +14 +00:00:59,000 --> 00:01:02,710 +everyone is probably pretty much adopting senseful now. + +15 +00:01:03,680 --> 00:01:09,860 +And it was developed by Francois Shuli and he has been a tremendous success in making tippling much + +16 +00:01:09,860 --> 00:01:11,390 +more accessible to the masses. + +17 +00:01:12,680 --> 00:01:16,820 +So what is tons of little is said Chris used to tend to flow back in. + +18 +00:01:16,830 --> 00:01:18,400 +But what exactly is a backhanded. + +19 +00:01:18,530 --> 00:01:19,370 +OK. + +20 +00:01:19,620 --> 00:01:27,000 +So then flow is an open source library that was created by Google Brind team by the Google brain team + +21 +00:01:27,030 --> 00:01:33,530 +in 2015 probably was being used inside of Google internally for many years prior to 2015. + +22 +00:01:34,020 --> 00:01:39,750 +And basically it's an extremely powerful extremely efficient and fast learning framework that is used + +23 +00:01:39,750 --> 00:01:46,080 +for high performance numerical competition across a variety of platforms such as use GPS use and use + +24 +00:01:46,580 --> 00:01:52,320 +it basically these engineers these guys at Google brain they developed this basically a superfast library + +25 +00:01:52,650 --> 00:01:57,160 +similar to some PI but basically incorporated it and built it around deplaning. + +26 +00:01:57,180 --> 00:02:05,190 +So you have all these the planning functions that are a part of the tensor flow framework to actually + +27 +00:02:05,190 --> 00:02:11,580 +has a pite an API and a bit it pretty much is accessible and easy to use but carious is much easier + +28 +00:02:11,580 --> 00:02:12,200 +to use. + +29 +00:02:13,500 --> 00:02:20,390 +So why use Kerrison set of pure incivil as I said Chris is extremely easy to use as a father as a basically + +30 +00:02:20,390 --> 00:02:24,640 +a pythonic style of coding and it is extremely modular. + +31 +00:02:24,860 --> 00:02:30,350 +You don't even have to be a proficient program to use Chris this more elaborate. + +32 +00:02:30,350 --> 00:02:36,010 +He means that we can actually just start doing different things that are and neural nets are CNN's can + +33 +00:02:36,130 --> 00:02:42,670 +easily change course functions optimizes initialization schemes activation functions try different regular + +34 +00:02:43,030 --> 00:02:48,580 +sessions screams schemes to introduce more Leia's reduced number of filters. + +35 +00:02:48,580 --> 00:02:53,080 +All of those things are super easily inside of course. + +36 +00:02:53,080 --> 00:02:56,710 +So it allows us to build these powerful neural nets quickly and efficiently. + +37 +00:02:57,130 --> 00:03:01,350 +And obviously it works in partem and Python is one of my favorite. + +38 +00:03:01,360 --> 00:03:06,370 +Actually it is my favorite part of programming language ever because it makes so many complicated things + +39 +00:03:06,370 --> 00:03:13,010 +super easy tensor is definitely not as user friendly and what you are scarce. + +40 +00:03:13,090 --> 00:03:18,510 +I've used a little bit to be fair but I was using Tanno at that point and Ti-Anna actually was quite + +41 +00:03:18,510 --> 00:03:18,980 +hard. + +42 +00:03:19,170 --> 00:03:21,620 +So dancefloor seemed easy for me at that point. + +43 +00:03:21,690 --> 00:03:24,870 +However nothing beats carious of ease of use. + +44 +00:03:24,990 --> 00:03:29,880 +So unless you're doing complicated models or academic research or basically looking for some sort of + +45 +00:03:29,880 --> 00:03:35,420 +high performance startup you don't necessarily need to use pure to answer for anything. + +46 +00:03:35,430 --> 00:03:38,630 +So now you're ready ready to see some actual crosscourt. + +47 +00:03:38,640 --> 00:03:40,300 +Well it's actually pretty good. + +48 +00:03:40,620 --> 00:03:46,980 +But we're using the curus library and this is how we actually construct and build models inside of Titan + +49 +00:03:47,580 --> 00:03:54,210 +so fiercely we import the sequential model from Karris basically the sequential model is the main type + +50 +00:03:54,210 --> 00:04:00,000 +of model you'll be building in Paris is basically all the CNNs and neural nets I've shown you before + +51 +00:04:00,060 --> 00:04:01,730 +with sequential models. + +52 +00:04:01,980 --> 00:04:05,340 +If you're doing something exotic then it will probably be not be sequential. + +53 +00:04:05,340 --> 00:04:09,480 +The data is real and probably beyond the scope of this course. + +54 +00:04:09,480 --> 00:04:12,110 +Right now it's basically academic research. + +55 +00:04:12,480 --> 00:04:13,130 +So let's move on. + +56 +00:04:13,140 --> 00:04:14,750 +So we defined our model here. + +57 +00:04:14,760 --> 00:04:23,060 +We initialize it by running this line of sequential these two brackets and then now let's add some convolutional + +58 +00:04:23,060 --> 00:04:24,500 +layers to it. + +59 +00:04:24,500 --> 00:04:28,150 +So before we do that we have to import these layers from Carrousel. + +60 +00:04:28,370 --> 00:04:34,380 +So from Chris Dudley as we import dense dropout flatten conv to the max beling. + +61 +00:04:34,400 --> 00:04:37,710 +Now I don't have dropout here but it's been used in the model. + +62 +00:04:37,730 --> 00:04:39,220 +We actually are going to code. + +63 +00:04:39,290 --> 00:04:40,110 +So I left it in. + +64 +00:04:40,170 --> 00:04:42,930 +So you guys know it's how it's different to here. + +65 +00:04:42,940 --> 00:04:43,610 +OK. + +66 +00:04:44,090 --> 00:04:48,370 +So flawlessly modeled after this is we're adding are firstly a here. + +67 +00:04:48,410 --> 00:04:50,550 +So firstly as a convert to the. + +68 +00:04:50,690 --> 00:04:51,560 +That's what we call it. + +69 +00:04:51,590 --> 00:04:56,030 +And now we have open brackets here and we have some parameters to fill out. + +70 +00:04:56,030 --> 00:04:57,830 +So let's go to these parameters. + +71 +00:04:57,840 --> 00:04:59,300 +This one is number 22. + +72 +00:04:59,360 --> 00:05:05,890 +Then the kernel size we can see here then type activities and we use an input shape equals in shape. + +73 +00:05:05,930 --> 00:05:08,360 +That's a bit confusing I'll explain it to you shortly. + +74 +00:05:08,600 --> 00:05:14,660 +So let's go through each one first one here to the two that specifies specifying First the number of + +75 +00:05:14,660 --> 00:05:16,030 +kernels or filters. + +76 +00:05:16,340 --> 00:05:24,710 +So in our first Leo we're using 22 filters of kernel size tree by tree with an activation function using + +77 +00:05:25,500 --> 00:05:31,730 +an input shape is called input shape and that's because previously above this could we declared we created + +78 +00:05:32,370 --> 00:05:38,400 +shape parameter variable I should say that was twenty eight by 28 by 1. + +79 +00:05:38,720 --> 00:05:40,240 +So in what shape we use. + +80 +00:05:40,550 --> 00:05:45,890 +So I just left it out here for convenience because it's we tend to leave it out and does have a defined + +81 +00:05:45,980 --> 00:05:49,440 +outside of the scope of this declaration here. + +82 +00:05:49,910 --> 00:05:51,230 +Now to add another layer. + +83 +00:05:51,590 --> 00:05:52,990 +It's as simple as modeled. + +84 +00:05:53,080 --> 00:05:55,280 +And Chris is so easy to use. + +85 +00:05:55,280 --> 00:06:00,290 +Just keep it using one add and it stacks easily at the top of each other starting with the first to + +86 +00:06:00,290 --> 00:06:01,650 +the bottom layers. + +87 +00:06:01,670 --> 00:06:05,450 +So now we add another convolutional Liya sixty four to the system. + +88 +00:06:05,490 --> 00:06:08,610 +See him can on SES and not we don't need to specify size. + +89 +00:06:08,620 --> 00:06:12,660 +Everytime we do it it knows that a second parameter is kernel size. + +90 +00:06:12,690 --> 00:06:13,770 +So it's tree by tree. + +91 +00:06:13,790 --> 00:06:15,760 +And again it Activision really. + +92 +00:06:16,280 --> 00:06:19,570 +And now you've noticed we don't need to specify an input shape here. + +93 +00:06:19,910 --> 00:06:20,690 +And do you know why. + +94 +00:06:20,780 --> 00:06:23,840 +That's because this leads directly connected to display. + +95 +00:06:23,930 --> 00:06:27,380 +So it ticks the output of this layer and it knows the output. + +96 +00:06:27,380 --> 00:06:31,290 +So the output of this layer is effectively the input into this layer. + +97 +00:06:31,670 --> 00:06:34,150 +So we no longer have to declare inputs anymore. + +98 +00:06:35,740 --> 00:06:37,710 +So now you can add a max blink. + +99 +00:06:38,000 --> 00:06:40,820 +And I said before we are going to use Emacs beling of two by two. + +100 +00:06:41,140 --> 00:06:42,170 +So that's simple here. + +101 +00:06:42,170 --> 00:06:49,340 +We have modeled that Max spooling D and specify the pool size open brackets to by to close brackets. + +102 +00:06:49,340 --> 00:06:53,720 +For this here close brackets for this here and then we do a Flaten. + +103 +00:06:53,830 --> 00:06:56,220 +I haven't discussed flattened flattens nationally. + +104 +00:06:56,220 --> 00:06:57,300 +It's basically a function. + +105 +00:06:57,300 --> 00:07:01,350 +We do that we use to feed the densely or fully connectedly. + +106 +00:07:01,710 --> 00:07:05,540 +You'll see it visually in the next diagram on the following slide. + +107 +00:07:05,740 --> 00:07:11,940 +Basically we then add a densely here with 128 units all the activated by real. + +108 +00:07:12,300 --> 00:07:16,760 +And this is connected to another densely here which outputs number of classes. + +109 +00:07:16,830 --> 00:07:23,510 +So classes in this dataset here were 10 because we're using the amnesty to set 0 to 9 and we use it + +110 +00:07:23,510 --> 00:07:30,360 +for soft Maxtor activation to get the basically the probabilities that I hope you think this is quite + +111 +00:07:30,360 --> 00:07:32,510 +simple because to me this is quite basic. + +112 +00:07:32,610 --> 00:07:37,190 +You may take a while to get familiar with how these things work but you will get used to it in this + +113 +00:07:37,200 --> 00:07:38,790 +course I guarantee it. + +114 +00:07:38,790 --> 00:07:40,800 +So let's take a look at what we've built here. + +115 +00:07:41,230 --> 00:07:41,540 +OK. + +116 +00:07:41,580 --> 00:07:44,880 +So this is actually what we have built so far. + +117 +00:07:44,880 --> 00:07:50,090 +So we have an input image here 20 by 20 and by 1 1 because it's greyscale. + +118 +00:07:50,190 --> 00:07:54,440 +If it was a color image R.G. image it would be tree depth here. + +119 +00:07:54,780 --> 00:08:02,250 +So as you saw before we have 22 filters here connected to another conflict with 64 filters here. + +120 +00:08:02,490 --> 00:08:08,850 +And you may have noticed the size of the image shrink here or Schrank here it became 26 by 26 and in + +121 +00:08:08,850 --> 00:08:10,490 +24 by 24. + +122 +00:08:10,590 --> 00:08:12,770 +And that's because we didn't use any zero padding. + +123 +00:08:12,840 --> 00:08:15,980 +And I'll show you guys later on in court how to do your reporting. + +124 +00:08:15,990 --> 00:08:16,910 +It's quite simple. + +125 +00:08:17,100 --> 00:08:22,450 +But for now just remember when you don't use your reporting or input image or convolutional feature + +126 +00:08:22,450 --> 00:08:25,530 +map size reduces from the input image size. + +127 +00:08:25,530 --> 00:08:28,950 +So we have these two Mattew currently stacked here. + +128 +00:08:28,950 --> 00:08:33,000 +Then we have OMX pooling which basically shrinks this by half. + +129 +00:08:33,180 --> 00:08:34,360 +I have a Drapeau thing here. + +130 +00:08:34,500 --> 00:08:39,330 +But we didn't actually use dropout before in the code but in the actual code when we started a project + +131 +00:08:39,330 --> 00:08:44,720 +I'll show you quickly how to actually implement dropout in one line super easy. + +132 +00:08:44,820 --> 00:08:48,260 +What I wanted to show you do was we have to flatten a here. + +133 +00:08:48,490 --> 00:08:52,890 +Nada Flannelly if you go back to here we just flatten brackets. + +134 +00:08:52,950 --> 00:08:54,420 +And what does it actually do. + +135 +00:08:54,450 --> 00:09:00,960 +Flatten basically takes this treatise multidimensional matrix 64 by 12 by 12 and basically turns it + +136 +00:09:00,960 --> 00:09:07,430 +into a roll of twelve hundred ninety nine thousand two hundred and sixteen columns. + +137 +00:09:07,470 --> 00:09:11,770 +So what it means here is that we just we just flattened this matrix. + +138 +00:09:11,820 --> 00:09:18,540 +So instead of having told by Jove I-64 imagine you just built an entire long row where it's the first + +139 +00:09:18,540 --> 00:09:24,410 +12 here then second 12 and then just consecutive long basically a long row. + +140 +00:09:24,870 --> 00:09:28,810 +And that becomes does this put box here. + +141 +00:09:29,100 --> 00:09:35,180 +And now this up at Box here is fed into the fully connectedly here with 128 nodes. + +142 +00:09:35,430 --> 00:09:36,440 +Asked about it here. + +143 +00:09:36,690 --> 00:09:37,690 +So we did find it here. + +144 +00:09:37,710 --> 00:09:40,760 +Each node was connected to a real two activation units. + +145 +00:09:41,220 --> 00:09:48,810 +And then finally we connect this to our final Denslow with soft Max activation function and outputs + +146 +00:09:48,810 --> 00:09:54,210 +to 10 nodes 10 nodes because our amnestied a class dataset has 10 classes. + +147 +00:09:54,300 --> 00:09:56,290 +So that's how we get our probabilities here. + +148 +00:09:56,700 --> 00:09:59,130 +So it's not illustrated here but later on you will see it. + +149 +00:09:59,130 --> 00:10:03,140 +So now that we've built our model we are ready to compile this model. + +150 +00:10:03,390 --> 00:10:08,640 +So compiling simply creates an object that stores our model we've just created and we can specify all + +151 +00:10:08,640 --> 00:10:13,350 +loss algorithm optimizer define our performance metric that we want to look at. + +152 +00:10:13,440 --> 00:10:18,090 +And additionally we can specify parameters for the optimizer such as litigates and momentum. + +153 +00:10:18,090 --> 00:10:22,630 +So this is a simple model that compile code here. + +154 +00:10:22,980 --> 00:10:29,610 +We have our categorical cross entropy definers and last type we have optimized SAGD being stochastic + +155 +00:10:29,610 --> 00:10:33,990 +really innocent and we have a metric look at being defined as accuracy. + +156 +00:10:36,370 --> 00:10:39,000 +So how do we fit in our model now. + +157 +00:10:39,010 --> 00:10:44,770 +So following a simple basically what Eski line which is the most established and popular machine learning + +158 +00:10:44,770 --> 00:10:48,540 +library on pite and private through senseful in Paris. + +159 +00:10:48,610 --> 00:10:52,350 +Basically they did as applied model but that would be used to training data. + +160 +00:10:52,600 --> 00:10:56,130 +The training labels extreme and waitron that's what they are. + +161 +00:10:56,140 --> 00:11:02,360 +You'll see them in a code soon specified number of epochs and about say not about size. + +162 +00:11:02,560 --> 00:11:05,720 +This doesn't impact learning that much significantly. + +163 +00:11:05,860 --> 00:11:11,470 +How ever you basically should use a largest bedside size it's possible that your memory allows. + +164 +00:11:11,500 --> 00:11:17,420 +So you can experiment and try it you'll know it if you try it too large a box that size your kernel + +165 +00:11:17,440 --> 00:11:18,250 +will crash. + +166 +00:11:18,250 --> 00:11:22,640 +So generally I tend to not avoid having Why couldn't I put it in a book Crash. + +167 +00:11:22,750 --> 00:11:29,030 +So all is basically about size of 32 for pretty much smaller images or 16 for larger images. + +168 +00:11:31,450 --> 00:11:35,250 +And once we do that we can now evaluates and generate predictions afterward. + +169 +00:11:35,290 --> 00:11:41,830 +So by running a model that evaluates and feeding it X test and whitest labels with a bat size we can + +170 +00:11:41,830 --> 00:11:47,140 +get these metrics the metrics parameters metrics object and then we can use that to actually look at + +171 +00:11:47,140 --> 00:11:53,580 +different graphs and if an interesting performance information from our model and if we wanted to ever + +172 +00:11:53,590 --> 00:11:59,410 +predict an individual point like we have an image and you want to get the actual class it belongs to + +173 +00:12:00,040 --> 00:12:04,070 +you can use model to predict model to predict allows us to feed one image at a time. + +174 +00:12:04,130 --> 00:12:07,070 +We can feed the entire dataset here as well. + +175 +00:12:07,840 --> 00:12:09,660 +So that's it's a let's get starting. + +176 +00:12:09,690 --> 00:12:13,030 +So let's build our own handwritten digit classify. diff --git a/8. Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.srt b/8. Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.srt new file mode 100644 index 0000000000000000000000000000000000000000..398b54cb1c30f67376193f5579cd7ae2057dbe76 --- /dev/null +++ b/8. Build CNNs in Python using Keras/3. Building a Handwriting Recognition CNN.srt @@ -0,0 +1,111 @@ +1 +00:00:00,720 --> 00:00:06,790 +Hi and welcome to chapter eight point two we are now about ready to start building our handwriting recognition. + +2 +00:00:06,780 --> 00:00:08,570 +CNN In kurus. + +3 +00:00:08,760 --> 00:00:14,040 +But before we actually dive into the code let's actually talk about how we approach this problem and + +4 +00:00:14,040 --> 00:00:16,190 +what the problem actually is. + +5 +00:00:16,230 --> 00:00:20,430 +It's a very good practice in data science to actually think about your problem. + +6 +00:00:20,430 --> 00:00:22,100 +Think of what you assert. + +7 +00:00:22,140 --> 00:00:22,700 +No a bit. + +8 +00:00:22,720 --> 00:00:28,640 +But you did us at first before trying anything crazy and treating a model on your data. + +9 +00:00:29,100 --> 00:00:30,850 +So we're going to use the meanest. + +10 +00:00:30,870 --> 00:00:32,690 +This is a famous dataset. + +11 +00:00:32,730 --> 00:00:40,770 +Basically it comprises of 60000 images with 10000 test images and 60000 images comprised basically of + +12 +00:00:40,770 --> 00:00:41,970 +10 classes. + +13 +00:00:42,180 --> 00:00:51,840 +So you have a Towson's of zeros ones two is all of them here in this training dataset and you can read + +14 +00:00:51,840 --> 00:00:52,830 +more about it here. + +15 +00:00:52,890 --> 00:00:54,860 +You click these links afterward. + +16 +00:00:54,870 --> 00:00:57,750 +Basically this is the guy Yan A-Kon. + +17 +00:00:57,900 --> 00:01:00,970 +Basically he was a guy who trained Linette I believe. + +18 +00:01:01,260 --> 00:01:07,760 +And that was due basically to themis CNN had actually scored 99 percent accuracy on this data set. + +19 +00:01:07,770 --> 00:01:14,400 +It's quite interesting so the problem let's look at the original of the amnesty the set it was developed + +20 +00:01:14,400 --> 00:01:20,820 +by the U.S. Postal Service because they needed a way to automatically read postcards handwritten postcards + +21 +00:01:20,910 --> 00:01:22,080 +on mail. + +22 +00:01:22,200 --> 00:01:28,170 +So the for classifier now is to take these digits and basically establish build a model that will tell + +23 +00:01:28,170 --> 00:01:38,350 +us this is a 5 6 2 7 4 and 8 and this is a CNN reboot we are online to CNN before I showed you how to + +24 +00:01:38,350 --> 00:01:38,830 +build it. + +25 +00:01:38,830 --> 00:01:43,140 +And Chris we're actually now about to build the CNN in Paris. + +26 +00:01:43,240 --> 00:01:44,500 +So it's going to be quite exciting. + +27 +00:01:44,500 --> 00:01:46,160 +So let's move on to your iPod. + +28 +00:01:46,210 --> 00:01:46,720 +In the book. diff --git a/8. Build CNNs in Python using Keras/4. Loading Our Data.srt b/8. Build CNNs in Python using Keras/4. Loading Our Data.srt new file mode 100644 index 0000000000000000000000000000000000000000..29898678c17acd08957a60aef3f5e0ff55811b8e --- /dev/null +++ b/8. Build CNNs in Python using Keras/4. Loading Our Data.srt @@ -0,0 +1,383 @@ +1 +00:00:00,920 --> 00:00:06,160 +OK so before we actually dive into the book I'm just going to talk a bit about loading our data. + +2 +00:00:06,980 --> 00:00:10,130 +So Chris has some built in these letters that are quite easy to use. + +3 +00:00:10,130 --> 00:00:15,650 +However we still have to do some manipulation to our data afterward and we'll get into that shortly. + +4 +00:00:15,650 --> 00:00:20,510 +But let me just show you quickly what this is from Kristel data sets. + +5 +00:00:20,510 --> 00:00:22,040 +We import this. + +6 +00:00:22,100 --> 00:00:28,550 +There are a few data sets Karris can automatically import Amnesty's one of them and Safar tenons the + +7 +00:00:28,550 --> 00:00:29,170 +other. + +8 +00:00:29,510 --> 00:00:35,510 +So this is how the data set from the Lord function comes out complots in this form and we can we can + +9 +00:00:35,510 --> 00:00:38,250 +define these variables any name names we want. + +10 +00:00:38,270 --> 00:00:40,000 +However this is a standard naming convention. + +11 +00:00:40,010 --> 00:00:40,890 +I like to use. + +12 +00:00:40,940 --> 00:00:49,100 +I realize that Francois surely actually uses these same variables names as well and in a lot to Tauriel + +13 +00:00:49,140 --> 00:00:56,600 +you'll see sometimes slightly different naming conventions but generally extreme and X test are basically + +14 +00:00:56,610 --> 00:01:01,040 +the test treating the testator and a white train. + +15 +00:01:01,090 --> 00:01:03,020 +Why to the class labels. + +16 +00:01:03,050 --> 00:01:05,500 +So we have white train tied to extreme. + +17 +00:01:05,510 --> 00:01:08,740 +This is going to be the same length surfaces like 60000. + +18 +00:01:08,750 --> 00:01:10,000 +This will be 60000. + +19 +00:01:10,280 --> 00:01:14,090 +And if it is 10000 This will be 10000 10000 records. + +20 +00:01:14,090 --> 00:01:18,230 +I mean this is obviously an image here and an image here. + +21 +00:01:18,470 --> 00:01:20,580 +So it's going to be slightly different shape. + +22 +00:01:20,900 --> 00:01:23,800 +So we can actually print to appear extreme shape. + +23 +00:01:23,810 --> 00:01:32,110 +And it gives you this up here so tells you that we have 60000 images and each images of 28 by 20 dimensions. + +24 +00:01:32,150 --> 00:01:35,420 +So let's do this now and I put it on notebook. + +25 +00:01:35,890 --> 00:01:36,190 +All right. + +26 +00:01:36,190 --> 00:01:37,930 +So this is what I put in the book here. + +27 +00:01:38,050 --> 00:01:41,990 +Eight point twenty eight point two one zero and one book. + +28 +00:01:42,100 --> 00:01:45,200 +It's in those same deep learning linning for the scene before. + +29 +00:01:45,580 --> 00:01:47,970 +So this is a code I just showed you in previous slide. + +30 +00:01:48,040 --> 00:01:53,550 +So let's just go ahead and run this code by pressing shift to and it takes a little while to load. + +31 +00:01:53,550 --> 00:01:57,540 +If you don't have the data saved on your machine you'll see it downloading some Dalwood balls come up + +32 +00:01:57,540 --> 00:01:58,380 +here below. + +33 +00:01:58,740 --> 00:02:00,570 +So we just wanted to ship for waitron. + +34 +00:02:00,630 --> 00:02:05,890 +Let's take a look of extreme extremes what we saw in the previous slide. + +35 +00:02:06,000 --> 00:02:07,840 +60000 by 20 by 20. + +36 +00:02:08,090 --> 00:02:09,620 +And let's see what Whiteread looks like. + +37 +00:02:09,620 --> 00:02:11,620 +I think we just looked at it 16000. + +38 +00:02:11,960 --> 00:02:14,480 +Let's see what extreme x test looks like. + +39 +00:02:14,480 --> 00:02:15,870 +10000 May 28 by 20. + +40 +00:02:15,890 --> 00:02:19,950 +And this we assume it's going to be 10000 good. + +41 +00:02:20,040 --> 00:02:21,990 +So I just did it here. + +42 +00:02:22,070 --> 00:02:24,250 +But initially we can always do it here. + +43 +00:02:24,620 --> 00:02:30,890 +So this step to me we examined the size and image dimensions it's not required but it's a good practice + +44 +00:02:31,280 --> 00:02:33,860 +just to check and make sure all your data is correct. + +45 +00:02:33,860 --> 00:02:39,560 +So we know data consists of 60000 samples of feeling data and 10000 of test data and all labels are + +46 +00:02:39,560 --> 00:02:40,750 +appropriately sized. + +47 +00:02:40,760 --> 00:02:45,710 +So we actually should check this here appropriately sized meaning that they're in the correct format + +48 +00:02:45,920 --> 00:02:47,720 +that Cara's requires. + +49 +00:02:48,080 --> 00:02:54,770 +And as I mentioned before are 20 by 28 and there's no add dimension or four dimension if you want to + +50 +00:02:54,770 --> 00:02:57,600 +consider this being the first mention here. + +51 +00:02:57,830 --> 00:03:02,340 +This meeting the number of images stored here. + +52 +00:03:02,790 --> 00:03:09,090 +So let's take a look at what happens when we're underskirt it prints out this year which is the shape + +53 +00:03:09,240 --> 00:03:10,580 +we saw before. + +54 +00:03:10,800 --> 00:03:12,820 +How many samples are training data. + +55 +00:03:13,110 --> 00:03:14,740 +How many labels on our training data. + +56 +00:03:14,820 --> 00:03:19,320 +How many samples are tested and samples and labels and are tested here as well. + +57 +00:03:19,320 --> 00:03:21,720 +So these all match up that's good. + +58 +00:03:21,720 --> 00:03:27,080 +And the dimensions here are 28 by 2020 by 28 so everything is all good. + +59 +00:03:27,090 --> 00:03:30,930 +You can take a look at this code and try to decide if you want to. + +60 +00:03:31,260 --> 00:03:32,580 +It's quite basic and simple. + +61 +00:03:32,580 --> 00:03:37,720 +Basically we use these are all in up-I is when it's loaded into here. + +62 +00:03:38,600 --> 00:03:45,780 +And basically we can use the dot ship function which is an extremely useful function to just get a ship + +63 +00:03:46,020 --> 00:03:48,680 +basically the dimensions of your data are key. + +64 +00:03:49,200 --> 00:03:52,380 +So now let's visualize some of this information. + +65 +00:03:52,400 --> 00:03:54,230 +So I'm going to do this in two different ways. + +66 +00:03:54,240 --> 00:03:54,910 +OK. + +67 +00:03:55,250 --> 00:04:00,500 +We're going to do this with open C-v then we're going to do it with Matt plot. + +68 +00:04:00,720 --> 00:04:02,840 +And you can use either one going forward. + +69 +00:04:03,000 --> 00:04:08,520 +I tend to use matplotlib if I'm plotting multiple images on the plate in the book and you can see if + +70 +00:04:08,520 --> 00:04:12,500 +I'm testing and wanting to displace text of an image. + +71 +00:04:12,630 --> 00:04:15,000 +So let's try this. + +72 +00:04:15,150 --> 00:04:17,610 +There we go pops up in a window here. + +73 +00:04:17,890 --> 00:04:20,200 +So we took a look at this nine to nine again. + +74 +00:04:20,200 --> 00:04:23,430 +Tree 2 0 1. + +75 +00:04:23,560 --> 00:04:28,140 +So we just brought up all these windows here and all these digits these are random digits. + +76 +00:04:28,140 --> 00:04:34,980 +We use this function and the random and this defines any random number between 0 and who linked up or + +77 +00:04:34,980 --> 00:04:37,150 +treating data link for treating data. + +78 +00:04:37,150 --> 00:04:39,260 +If you remember with 60000. + +79 +00:04:39,280 --> 00:04:45,230 +So this generates a number from zero to 60000 and displays the image here using open city functions. + +80 +00:04:46,430 --> 00:04:48,710 +So let's now do the same with matplotlib. + +81 +00:04:49,010 --> 00:04:52,220 +This is the code to basically plot and matplotlib. + +82 +00:04:52,430 --> 00:04:54,750 +This is not the actual most efficient way to do it. + +83 +00:04:54,770 --> 00:04:59,480 +The most efficient way would be doing it into a loop but it just left it here for you so you get an + +84 +00:04:59,480 --> 00:05:02,430 +idea of how we use subplots to plot it. + +85 +00:05:02,450 --> 00:05:03,560 +So let's do it. + +86 +00:05:07,290 --> 00:05:08,110 +This is good. + +87 +00:05:08,410 --> 00:05:12,880 +Actually it's defined and that's because this one may have changed it before. + +88 +00:05:12,900 --> 00:05:14,650 +But let's run it again. + +89 +00:05:14,660 --> 00:05:17,060 +It's a the extreme right here. + +90 +00:05:18,440 --> 00:05:19,700 +There we go. + +91 +00:05:19,790 --> 00:05:22,910 +So this plotted six images in a nice small grid here. + +92 +00:05:23,150 --> 00:05:26,360 +So this is this is why I sort of use my Potala to display images in there. + +93 +00:05:26,360 --> 00:05:30,710 +But in the book I find it easier and nicer to work with. + +94 +00:05:30,980 --> 00:05:36,130 +So that's how we basically import or data set and visualize some data from a data set. + +95 +00:05:36,150 --> 00:05:40,190 +Next we're going to prepare a dataset for treating. + +96 +00:05:40,220 --> 00:05:41,760 +So let's take a look at that shortly. diff --git "a/8. Build CNNs in Python using Keras/5. Getting our data in \342\200\230Shape\342\200\231.srt" "b/8. Build CNNs in Python using Keras/5. Getting our data in \342\200\230Shape\342\200\231.srt" new file mode 100644 index 0000000000000000000000000000000000000000..42471d2b4c4dfa96c93029c689696ff50e3e2ba9 --- /dev/null +++ "b/8. Build CNNs in Python using Keras/5. Getting our data in \342\200\230Shape\342\200\231.srt" @@ -0,0 +1,251 @@ +1 +00:00:00,760 --> 00:00:01,300 +Right. + +2 +00:00:01,320 --> 00:00:08,130 +So we've just imported the data into carious However that is not in the ideal or the correct format + +3 +00:00:08,130 --> 00:00:10,410 +that cares needs to train on. + +4 +00:00:10,440 --> 00:00:15,370 +So this chapter is going to be a tiny chapter in how to get us data into the correct shape. + +5 +00:00:15,450 --> 00:00:17,020 +So let's look at the next slide. + +6 +00:00:17,330 --> 00:00:21,780 +So as I said before we've brought this in here and help with it it's here. + +7 +00:00:21,780 --> 00:00:22,650 +All right. + +8 +00:00:22,650 --> 00:00:29,340 +How ever terrorists requires it to be in a special shape and that she basically as number of rows columns + +9 +00:00:29,910 --> 00:00:33,040 +a number of samples rows of columns and Dept. + +10 +00:00:33,120 --> 00:00:40,880 +So this is how extreme it looks here but healthcare is actually once it is 16000 to 28 and 1. + +11 +00:00:40,950 --> 00:00:46,090 +So we sort of have to add a fourth dimension antoh data and that's how we do it here. + +12 +00:00:46,090 --> 00:00:47,580 +So now let's do this in Iraq. + +13 +00:00:47,910 --> 00:00:52,980 +And the reason Chris is looking for a fourth dimension here is because when you load a greyscale image + +14 +00:00:52,980 --> 00:00:57,930 +dataset it doesn't add the dimension of the depth to up. + +15 +00:00:58,230 --> 00:01:00,550 +Mainly because it's a greyscale and is Nakul adept. + +16 +00:01:00,630 --> 00:01:04,850 +If it was a color image dataset you would have the tree popping up at the end here. + +17 +00:01:05,160 --> 00:01:10,390 +However we each need to add this one just to indicate to Cara's that it's a greyscale image data set. + +18 +00:01:10,590 --> 00:01:17,070 +Otherwise it's going to return an error is an incorrect format so to change this you would just use + +19 +00:01:17,070 --> 00:01:20,210 +non-place reship function which is quite simple to use. + +20 +00:01:20,220 --> 00:01:23,170 +You just use extreme thought reshape. + +21 +00:01:23,170 --> 00:01:24,760 +Take the first 60000 digits. + +22 +00:01:24,810 --> 00:01:27,620 +That's when you just when you use shape. + +23 +00:01:27,780 --> 00:01:30,640 +This is a first I mentioned at 0 addresses. + +24 +00:01:30,750 --> 00:01:37,310 +Then you enter 28 28 or image or image columns and add 1 and it's quite simple to use. + +25 +00:01:37,320 --> 00:01:38,880 +So let's get into it. + +26 +00:01:39,190 --> 00:01:42,350 +I buy that book now. + +27 +00:01:42,740 --> 00:01:43,120 +OK. + +28 +00:01:43,160 --> 00:01:49,220 +So like we just saw this is a section of code where we reshape and add the fourth dimension onto these + +29 +00:01:49,790 --> 00:01:50,610 +treating datasets. + +30 +00:01:50,620 --> 00:01:52,580 +Untested sets. + +31 +00:01:52,620 --> 00:01:57,650 +I didn't point this out to you before but we just get image rows and image columns by simply addressing + +32 +00:01:57,650 --> 00:02:00,450 +the first mention of the shape here extreme. + +33 +00:02:00,540 --> 00:02:08,030 +Now we use extreme zero and extreme in one we don't need to use Xorn we can use X test as well because + +34 +00:02:08,030 --> 00:02:09,850 +they're the same dimensionality. + +35 +00:02:09,890 --> 00:02:15,530 +However this just gives us the rows and columns so let's actually print this out so you can actually + +36 +00:02:15,530 --> 00:02:16,990 +see what's going on here. + +37 +00:02:17,480 --> 00:02:21,800 +So this run print that you'll see it turns 28. + +38 +00:02:21,800 --> 00:02:23,590 +So this is getting to 28 here. + +39 +00:02:23,960 --> 00:02:32,210 +And if we were to just use this for columns two you'll see will also get 28 right. + +40 +00:02:32,210 --> 00:02:38,130 +So moving on this is fairly simple if you guys make it nice and neat. + +41 +00:02:38,150 --> 00:02:41,010 +Again this is how we make the input shape. + +42 +00:02:41,010 --> 00:02:48,340 +Now you've seen before we needed input shape dimension in the first layer of the convolutional on that. + +43 +00:02:48,450 --> 00:02:50,870 +And this is how we just create our image shape here. + +44 +00:02:51,060 --> 00:02:52,540 +It's a tuple That's combined. + +45 +00:02:52,550 --> 00:02:57,560 +What rows columns and the dimensionality of the depth of the image. + +46 +00:02:57,710 --> 00:02:58,540 +This would be tree. + +47 +00:02:58,590 --> 00:03:04,400 +Again if it was a color image dataset and because Kurus expected it to be in a floated to. + +48 +00:03:04,730 --> 00:03:08,090 +Right now I believe it's going to be in some sort of integer format here. + +49 +00:03:08,490 --> 00:03:10,360 +So we just need to change this. + +50 +00:03:10,830 --> 00:03:15,410 +So we just change extra in as type flow to the two and do it for X test as well. + +51 +00:03:15,570 --> 00:03:18,280 +We don't need to do this for the labels just the turning of data. + +52 +00:03:18,780 --> 00:03:25,290 +And this is how we normalized data we normalize all data by dividing it by 255 because remember images + +53 +00:03:25,380 --> 00:03:27,270 +range from 0 to 255. + +54 +00:03:27,530 --> 00:03:34,720 +So if we divide it all the image data by 255 we basically bring it into range 0 to 1. + +55 +00:03:34,830 --> 00:03:36,470 +So that's quite simple here now. + +56 +00:03:36,720 --> 00:03:40,350 +And basically we just print this out again if we need to do that because we did it before. + +57 +00:03:40,630 --> 00:03:43,680 +But just do a sanity check on our data. + +58 +00:03:43,770 --> 00:03:45,480 +So let's run this again. + +59 +00:03:45,480 --> 00:03:49,770 +If you want to see what extreme It actually looks like now this is it. + +60 +00:03:49,860 --> 00:03:53,930 +You can see basically the decimal points because it's going to hidden here. + +61 +00:03:54,720 --> 00:03:59,870 +But all the data ranges from 0 to 256 0 to 1 right now. + +62 +00:04:00,430 --> 00:04:00,670 +OK. + +63 +00:04:00,690 --> 00:04:03,440 +So let's move on to heart encoding labels. diff --git a/8. Build CNNs in Python using Keras/6. Hot One Encoding.srt b/8. Build CNNs in Python using Keras/6. Hot One Encoding.srt new file mode 100644 index 0000000000000000000000000000000000000000..a15300bdecab3275ae0d26b9ebb598cd5e58e1dc --- /dev/null +++ b/8. Build CNNs in Python using Keras/6. Hot One Encoding.srt @@ -0,0 +1,187 @@ +1 +00:00:00,530 --> 00:00:01,090 +I guess. + +2 +00:00:01,110 --> 00:00:05,220 +And welcome to chapter eight point five where we talk about what one encoding. + +3 +00:00:05,520 --> 00:00:11,900 +So as we saw before we did some transmissions on the extreme and X deciliter that's so image data. + +4 +00:00:11,970 --> 00:00:15,520 +Now what about our label little white green and white test. + +5 +00:00:15,780 --> 00:00:16,530 +Well let's find out. + +6 +00:00:16,530 --> 00:00:19,790 +So let's recap what we did on the image data. + +7 +00:00:19,860 --> 00:00:23,880 +We added a four dimension to go from this to this. + +8 +00:00:23,880 --> 00:00:32,070 +We changed it to flow to two data type and we normalized it between 0 and 1 by dividing by 255. + +9 +00:00:32,450 --> 00:00:33,960 +But what do we do to label that. + +10 +00:00:33,960 --> 00:00:35,450 +Now that's true. + +11 +00:00:35,940 --> 00:00:39,730 +So the label is basically in this form for white train. + +12 +00:00:39,750 --> 00:00:47,850 +It's going to be a matrix that is 60000 that has 60000 elements and each element indicates a class label. + +13 +00:00:47,890 --> 00:00:57,360 +So for x for y treatment which is a 28 if this element in white and extreme is going to be 28 by 28 + +14 +00:00:57,840 --> 00:01:00,900 +and this zero corresponds to its label here. + +15 +00:01:01,150 --> 00:01:04,710 +However Harris does not use label data like this. + +16 +00:01:04,890 --> 00:01:06,820 +It needs it to be a hot one encoded. + +17 +00:01:06,900 --> 00:01:09,850 +And what does that look like that looks like this. + +18 +00:01:10,080 --> 00:01:11,640 +So we have labels here. + +19 +00:01:12,030 --> 00:01:20,840 +And instead of having a for being represented here it's basically a matrix to has 10 columns now. + +20 +00:01:21,270 --> 00:01:24,900 +So instead of having no call them so effectively want to call them. + +21 +00:01:24,930 --> 00:01:26,890 +Sorry sixty dozen columns. + +22 +00:01:27,000 --> 00:01:34,580 +It has 10 columns here and 60000 rows and each column is a row. + +23 +00:01:34,590 --> 00:01:39,390 +Sorry has basically a 1 0 0 indicating which label it is. + +24 +00:01:39,690 --> 00:01:42,900 +So imagine we have this being transformed. + +25 +00:01:42,900 --> 00:01:44,090 +Sorry let's look at this. + +26 +00:01:44,090 --> 00:01:45,520 +This is a td rule here. + +27 +00:01:45,810 --> 00:01:48,340 +Being transformed into this. + +28 +00:01:48,370 --> 00:01:55,520 +So instead of having this rule before what one coding makes it into this I hope you understand clearly + +29 +00:01:55,530 --> 00:01:56,600 +so we're going to do this now. + +30 +00:01:56,640 --> 00:01:58,770 +You know I write in my book. + +31 +00:01:59,650 --> 00:01:59,960 +OK. + +32 +00:01:59,970 --> 00:02:06,310 +So Step three is a hot one including a full y labels and to do this we basically use any utilities that + +33 +00:02:06,310 --> 00:02:10,280 +are imported from the utilities and all this stuff here. + +34 +00:02:10,290 --> 00:02:12,600 +It just sends it to categorical. + +35 +00:02:12,600 --> 00:02:17,210 +That is how Cara's calls dysfunction Hotpoint including two categorical. + +36 +00:02:17,460 --> 00:02:18,550 +So we have Whitopia. + +37 +00:02:18,620 --> 00:02:23,160 +It's equal to utilities not to categorical and just put the wager in here. + +38 +00:02:23,310 --> 00:02:25,140 +And that transforms it. + +39 +00:02:25,140 --> 00:02:27,220 +So let's take a look at how this actually looks. + +40 +00:02:27,220 --> 00:02:28,510 +So let's run this here. + +41 +00:02:28,820 --> 00:02:30,120 +So no why train. + +42 +00:02:30,270 --> 00:02:32,420 +Let's look at the first rule in waitron. + +43 +00:02:32,830 --> 00:02:40,700 +It's this and basically can see one two three four five six seven eight nine ten elements. + +44 +00:02:40,920 --> 00:02:45,270 +And with this one this looks like the nine and fifth element here. + +45 +00:02:45,300 --> 00:02:46,920 +So this is number five. + +46 +00:02:46,920 --> 00:02:51,720 +So the first element in overtreating data is number five. + +47 +00:02:52,110 --> 00:02:54,710 +So now let's move on to creating a model. diff --git a/8. Build CNNs in Python using Keras/7. Building & Compiling Our Model.srt b/8. Build CNNs in Python using Keras/7. Building & Compiling Our Model.srt new file mode 100644 index 0000000000000000000000000000000000000000..aa31c7d6b3f0065a31e763975196f46b881d56d5 --- /dev/null +++ b/8. Build CNNs in Python using Keras/7. Building & Compiling Our Model.srt @@ -0,0 +1,227 @@ +1 +00:00:00,300 --> 00:00:06,120 +So in that we move on to a simple step where we actually build uncompiled or model and Karris and this + +2 +00:00:06,120 --> 00:00:08,950 +is a model we're going to build as you remembered. + +3 +00:00:09,000 --> 00:00:15,510 +We showed you this before you actually Edley is how we actually do max booing Flaten dance classes and + +4 +00:00:15,510 --> 00:00:16,080 +stuff. + +5 +00:00:16,080 --> 00:00:22,080 +This is actually quite useful diagram I created that shows you how to basically layer and add each piece + +6 +00:00:22,400 --> 00:00:27,090 +here including drop out and including a flattened layer here as well. + +7 +00:00:27,420 --> 00:00:32,400 +So let's go ahead and Kerrison run this and compile our model. + +8 +00:00:32,800 --> 00:00:35,110 +OK so welcome back to Python book. + +9 +00:00:35,140 --> 00:00:40,830 +So I'm pretty sure this code looks familiar because you would have seen it in the presentation slides + +10 +00:00:40,870 --> 00:00:41,660 +earlier. + +11 +00:00:42,050 --> 00:00:45,580 +So remember I said we're building a simple convolution neural nets. + +12 +00:00:45,580 --> 00:00:46,420 +This is how we do it. + +13 +00:00:46,450 --> 00:00:48,720 +We have two little filters in a convoy. + +14 +00:00:49,050 --> 00:00:51,730 +Kenneled say as tree by tree activation really. + +15 +00:00:52,090 --> 00:00:55,450 +We have the input ship which we defined above. + +16 +00:00:55,450 --> 00:01:01,930 +Here actually it was in this block right here and then moving on we have a convolutional the sim can + +17 +00:01:01,930 --> 00:01:03,680 +also use activation. + +18 +00:01:03,760 --> 00:01:06,070 +We have to max beling downsampling liya. + +19 +00:01:06,280 --> 00:01:09,000 +We now use dropout and dropout as simple to implement. + +20 +00:01:09,040 --> 00:01:14,190 +You just muddle and dropout and especially if we use Pia's point to 5 here. + +21 +00:01:14,620 --> 00:01:21,730 +We didn't flatten this layer have a fully connected DENSELOW with 128 nodes which really we add another + +22 +00:01:21,730 --> 00:01:26,740 +layer of dropout and we have a higher dropout here notes you can play with these values and see what + +23 +00:01:26,740 --> 00:01:27,940 +gives you the best. + +24 +00:01:27,940 --> 00:01:33,110 +You tend to stop drop outs smaller on top and get larger but you don't ever really go larger than point + +25 +00:01:33,110 --> 00:01:33,950 +five. + +26 +00:01:34,540 --> 00:01:40,840 +And then this is our last Insley which is connected to 10 nodes which is a number of classes and a number + +27 +00:01:40,840 --> 00:01:43,340 +of classes was defined right here. + +28 +00:01:43,990 --> 00:01:51,880 +That's basically the linked number of columns I should see in this array and that's it. + +29 +00:01:51,880 --> 00:01:54,310 +So I talked about compiling a model. + +30 +00:01:54,310 --> 00:02:00,430 +Now when we when we do model the compile Basically we're taking these layers creating a model and then + +31 +00:02:00,430 --> 00:02:06,400 +specifying what type of loss we are using what type of optimize are we using and the metrics we need + +32 +00:02:06,400 --> 00:02:10,780 +to look at and these metrics we look at basically the metrics that will be output. + +33 +00:02:10,780 --> 00:02:12,460 +When we started to train our model. + +34 +00:02:12,580 --> 00:02:18,760 +When we start training our model and by doing model print here we can print a model summary and take + +35 +00:02:18,760 --> 00:02:19,150 +a look. + +36 +00:02:19,150 --> 00:02:20,460 +So let's check it out. + +37 +00:02:22,310 --> 00:02:23,830 +This is very cool here. + +38 +00:02:23,870 --> 00:02:25,540 +Let's go through this quickly. + +39 +00:02:25,550 --> 00:02:33,880 +So when you print a model we actually see each layer we have is each layer we specified above here. + +40 +00:02:34,100 --> 00:02:37,580 +And what's cool about this is that it gives you the output shape. + +41 +00:02:37,580 --> 00:02:43,640 +So we know the input chip coming into this input shape was 28 by 28 dimension. + +42 +00:02:43,730 --> 00:02:47,230 +Now 81 and we have 22 filters here. + +43 +00:02:47,520 --> 00:02:48,110 +So. + +44 +00:02:48,180 --> 00:02:55,610 +But shape if you remember correctly is going to be 26 26 32 would tell you to be number of filters and + +45 +00:02:55,610 --> 00:02:59,280 +these are a number number of parameters in this lead here. + +46 +00:02:59,300 --> 00:03:00,680 +So this is pretty cool. + +47 +00:03:00,680 --> 00:03:03,540 +So now we have second convolutional here. + +48 +00:03:03,890 --> 00:03:08,150 +Same thing again but no a lot more promises going forward. + +49 +00:03:08,150 --> 00:03:14,930 +We have Omak spooling here which is this process no parameters drop it again flatten again and flatten + +50 +00:03:14,930 --> 00:03:19,760 +has an upward shape of this as you can see it's just this expanded into this. + +51 +00:03:19,990 --> 00:03:25,810 +We have a fully connected densely here and this is where the bulk of the parameters actually exist. + +52 +00:03:26,240 --> 00:03:30,870 +And we have dropped it again and in a fully Densa connected to attend classes here. + +53 +00:03:31,460 --> 00:03:36,140 +So this gives us a total number of parameters total number of treatable parameters. + +54 +00:03:36,140 --> 00:03:38,640 +We have zero nonrenewable parameters. + +55 +00:03:38,660 --> 00:03:42,420 +We will come to what non-tradable parameters all later on. + +56 +00:03:42,530 --> 00:03:44,380 +And so we're not ready to train our model. + +57 +00:03:44,420 --> 00:03:45,410 +So let's get to it. diff --git a/8. Build CNNs in Python using Keras/8. Training Our Classifier.srt b/8. Build CNNs in Python using Keras/8. Training Our Classifier.srt new file mode 100644 index 0000000000000000000000000000000000000000..cca966ce9a23952ce0e63a9b1614be806c72cded --- /dev/null +++ b/8. Build CNNs in Python using Keras/8. Training Our Classifier.srt @@ -0,0 +1,279 @@ +1 +00:00:00,160 --> 00:00:00,540 +OK. + +2 +00:00:00,570 --> 00:00:04,550 +So welcome to 8.7 where we start training at ossify. + +3 +00:00:04,650 --> 00:00:09,500 +So let's switch into Python lookbook now and get started actually in doing some training. + +4 +00:00:09,900 --> 00:00:10,290 +OK. + +5 +00:00:10,290 --> 00:00:15,150 +So welcome back to Python the book where we're going to start training our model. + +6 +00:00:15,270 --> 00:00:17,240 +So let's go through this line by line. + +7 +00:00:17,280 --> 00:00:17,850 +All right. + +8 +00:00:18,120 --> 00:00:23,530 +So remember sites which is basically how many images we process in one batch. + +9 +00:00:23,760 --> 00:00:29,610 +Effectively this depends on how much RAM of RAM you have available because this is a small data set. + +10 +00:00:29,610 --> 00:00:33,480 +You can probably even get away with going up to 128. + +11 +00:00:33,520 --> 00:00:39,300 +However let's put it at 32 to be safe in case you have little specs on your system. + +12 +00:00:39,330 --> 00:00:44,670 +Epoxy usually we can use ten or twenty five even but for this demo let's just use one. + +13 +00:00:44,670 --> 00:00:48,140 +So you can actually see it around and actually see what happens at the end. + +14 +00:00:48,480 --> 00:00:54,150 +So now let's talk about model that fit and you have something called History equal model not fit. + +15 +00:00:54,240 --> 00:00:56,760 +Now ignore history for a bit for a second. + +16 +00:00:56,810 --> 00:00:58,550 +The key part here is model that fit. + +17 +00:00:58,560 --> 00:01:01,740 +You don't actually need this history stuff here. + +18 +00:01:01,740 --> 00:01:04,710 +This history is mainly needed to plot or graphs afterward. + +19 +00:01:05,100 --> 00:01:08,360 +But for now you can you can create a model without doing this. + +20 +00:01:08,370 --> 00:01:11,040 +You can simply run this line and it trains. + +21 +00:01:11,040 --> 00:01:18,480 +So let's look at what inputs we need into model a lot of that we need to training data we need the training + +22 +00:01:18,480 --> 00:01:21,280 +labels in the format we specified above. + +23 +00:01:21,570 --> 00:01:27,090 +We need to specify OBOT size which is to to POCs which would be one vobis. + +24 +00:01:27,270 --> 00:01:30,000 +Basically that just tells us how much information we want to see. + +25 +00:01:30,040 --> 00:01:37,590 +While training I recommend Vivus one because it's nice to look at and provide more information and less + +26 +00:01:37,590 --> 00:01:41,190 +lead validation data which would be extra us in the White us. + +27 +00:01:41,550 --> 00:01:46,410 +And this has also appeared in a tuple as you can see just brackets basically make sure it's in shorts + +28 +00:01:46,410 --> 00:01:50,270 +a tuple and that's what we fit a model on. + +29 +00:01:50,280 --> 00:01:52,620 +And lastly let's take a look at this line. + +30 +00:01:52,650 --> 00:01:57,440 +This is where we get the evaluation metrics at end of our training evaluate basically just gives us + +31 +00:01:57,440 --> 00:02:01,810 +a score at the end at law school and accuracy accuracy score. + +32 +00:02:02,100 --> 00:02:05,390 +So let's now run this and visualize how training is done. + +33 +00:02:07,900 --> 00:02:08,390 +Amazing. + +34 +00:02:08,470 --> 00:02:12,800 +So now I mean I find this quite interesting to watch but you may be bored. + +35 +00:02:12,880 --> 00:02:19,660 +But right now this is basically going to add images here how many images we have seen so far in this + +36 +00:02:19,660 --> 00:02:26,040 +data set the estimated time to completion two in two and a half minutes left a loss. + +37 +00:02:26,050 --> 00:02:30,460 +And you can see it continuously going down slowly as she is pretty fast. + +38 +00:02:30,520 --> 00:02:34,280 +To be fair and accuracy This is a part of like to watch too as well. + +39 +00:02:34,450 --> 00:02:38,130 +Oh accuracy is slowly going up the more and more they do we fito model. + +40 +00:02:38,320 --> 00:02:42,010 +And this is on one epoch and we're really at 60 percent accuracy. + +41 +00:02:42,070 --> 00:02:45,940 +So if you wait to sell it I'm going to Fasold a video while we watch this. + +42 +00:02:46,270 --> 00:02:52,810 +You can actually see after one book we actually reach quite good politician and training accuracy. + +43 +00:02:52,810 --> 00:02:58,390 +However you don't see the validation accuracy and validation loss just yet because right now what's + +44 +00:02:58,390 --> 00:03:05,110 +happening is that we're passing a data set of a training data set to a model and back propagating it + +45 +00:03:05,440 --> 00:03:06,530 +and updating the weights. + +46 +00:03:06,640 --> 00:03:08,560 +And that is how these things are improving. + +47 +00:03:08,620 --> 00:03:09,590 +Losses going down. + +48 +00:03:09,640 --> 00:03:17,140 +Accuracy going up and once one epoch is complete then we passed a test data into it and then we see + +49 +00:03:17,200 --> 00:03:23,840 +a test of validation loss or Test loss and validation accuracy or test accuracy. + +50 +00:03:23,860 --> 00:03:25,250 +So let's wait until it's done. + +51 +00:03:30,790 --> 00:03:31,670 +OK good. + +52 +00:03:31,670 --> 00:03:32,110 +There we go. + +53 +00:03:32,120 --> 00:03:33,040 +We're finished. + +54 +00:03:33,260 --> 00:03:38,090 +So now let's look at the results here and try to figure out how we analyze what had just happened. + +55 +00:03:38,090 --> 00:03:46,590 +So as you can see after we fed all 60 images 60000 images into a model and train that updated awaits. + +56 +00:03:46,820 --> 00:03:52,580 +We now have a loss that is decently low point five nine Well accuracy on our training data set. + +57 +00:03:52,580 --> 00:03:56,870 +That's a point 8 1 4 5 8 1 and 1/2 percent roughly. + +58 +00:03:57,070 --> 00:04:02,850 +And but interestingly our validation loss is even much lower than what treating loss and validation + +59 +00:04:02,900 --> 00:04:05,140 +accuracy is 93 percent. + +60 +00:04:05,150 --> 00:04:09,030 +Now that's not normal but it's a good problem to have. + +61 +00:04:09,050 --> 00:04:15,310 +It means that our model has generalized very well and is actually quite accurate on our test data. + +62 +00:04:15,320 --> 00:04:22,170 +Now this doesn't always happen usually always on most cases have higher accuracy and training then when + +63 +00:04:22,340 --> 00:04:24,410 +the validation set. + +64 +00:04:24,530 --> 00:04:26,270 +However let's wouldn't complain about this. + +65 +00:04:26,270 --> 00:04:27,850 +This is a good problem to have. + +66 +00:04:28,280 --> 00:04:33,150 +And basically we have a loss and test accuracy printed at the summary here. + +67 +00:04:33,470 --> 00:04:37,820 +It's also the same values here but we just run this again just to basically see it. + +68 +00:04:37,870 --> 00:04:43,460 +And if you have many ebox as well this is a summary at the end of the mall Okay. + +69 +00:04:43,730 --> 00:04:47,670 +So now we're going to move on to plotting or loss accuracy charts. + +70 +00:04:47,900 --> 00:04:53,020 +Basically what you should do is run this for maybe 10 epoxy can actually have nice graphs. diff --git a/8. Build CNNs in Python using Keras/9. Plotting Loss and Accuracy Charts.srt b/8. Build CNNs in Python using Keras/9. Plotting Loss and Accuracy Charts.srt new file mode 100644 index 0000000000000000000000000000000000000000..353100434fd21527b942c2aec7210086acff5e32 --- /dev/null +++ b/8. Build CNNs in Python using Keras/9. Plotting Loss and Accuracy Charts.srt @@ -0,0 +1,199 @@ +1 +00:00:00,790 --> 00:00:01,860 +OK it's not. + +2 +00:00:01,890 --> 00:00:08,010 +We've trained our model for maybe at least 10 e-books we can start putting or loss and accuracy charts. + +3 +00:00:08,070 --> 00:00:10,300 +And don't you remember those charts correctly. + +4 +00:00:10,350 --> 00:00:14,030 +But let me show you what it looked like in previous slides before. + +5 +00:00:14,280 --> 00:00:18,490 +This is an example this is not a real leader of overfitting on our charts. + +6 +00:00:18,540 --> 00:00:26,100 +So as you can see this was basically we got a very bad Test loss and test accuracy but really good training + +7 +00:00:26,460 --> 00:00:29,520 +accuracy and very low training loss. + +8 +00:00:29,580 --> 00:00:30,080 +OK. + +9 +00:00:30,300 --> 00:00:34,650 +So let's see how we actually plot these grass on you know when I put in my book. + +10 +00:00:35,150 --> 00:00:35,440 +OK. + +11 +00:00:35,460 --> 00:00:38,280 +So here we have the training output of 10 ebox. + +12 +00:00:38,350 --> 00:00:40,080 +As you started one. + +13 +00:00:40,180 --> 00:00:41,630 +All is all the way to 10. + +14 +00:00:41,940 --> 00:00:49,950 +And as you can see the test start treating accuracy starts at 91 and gets better and better and evaluation + +15 +00:00:50,010 --> 00:00:50,520 +accuracy. + +16 +00:00:50,520 --> 00:00:52,950 +So basically all Hotta see because it's all we hear. + +17 +00:00:53,060 --> 00:00:55,340 +It starts at 95 and then 97. + +18 +00:00:55,380 --> 00:00:56,550 +Ninety seven point eight. + +19 +00:00:56,550 --> 00:01:00,110 +Keep going up and up to reach Nineteen ninety eight point six. + +20 +00:01:00,180 --> 00:01:05,370 +So that's pretty good but it would be nice if we had all of these data on a graph wouldn't it. + +21 +00:01:05,370 --> 00:01:11,070 +So this code is pretty simple matplotlib code will actually go ahead and process these plots for you. + +22 +00:01:11,070 --> 00:01:12,550 +So let's print them. + +23 +00:01:12,630 --> 00:01:15,380 +This one is our last shot. + +24 +00:01:15,450 --> 00:01:16,320 +So this is pretty nice. + +25 +00:01:16,320 --> 00:01:23,300 +We can see of validation and Teslas here starts at somewhere high point 1 full roughly and goes down + +26 +00:01:23,340 --> 00:01:30,060 +all the way to maybe point something point trio point for point the riffle actually sorry and treating + +27 +00:01:30,110 --> 00:01:30,940 +a loss here. + +28 +00:01:31,200 --> 00:01:32,560 +So you can see this as well. + +29 +00:01:32,850 --> 00:01:33,960 +So it's very nice visual. + +30 +00:01:33,970 --> 00:01:38,670 +And when you when you wanted to just see if things that overfitting as well you can actually start seeing + +31 +00:01:38,670 --> 00:01:45,630 +things like the training loss to training accuracy basically getting higher but validation loss of elevation + +32 +00:01:45,660 --> 00:01:48,140 +accuracy getting lower or worse. + +33 +00:01:48,150 --> 00:01:49,670 +So let's look at the accuracy plot plots. + +34 +00:01:49,680 --> 00:01:51,900 +Now this one plus the accuracy here. + +35 +00:01:52,350 --> 00:01:58,080 +And basically Actually I mentioned before how we create the models of the history here. + +36 +00:01:58,380 --> 00:02:05,600 +History basically allows us to store this data here and then we can actually refer to get it history. + +37 +00:02:05,640 --> 00:02:11,890 +So history not history creates a history dictionary and then we just get lost from this dictionary get + +38 +00:02:11,960 --> 00:02:13,490 +validation lost as well. + +39 +00:02:13,800 --> 00:02:15,210 +And we just equate them here. + +40 +00:02:15,210 --> 00:02:20,550 +This gives the scenary those values and then we can plot them here and tweak things like line markers + +41 +00:02:20,550 --> 00:02:23,730 +line size and do the same for this here. + +42 +00:02:23,810 --> 00:02:26,090 +We actually instead of getting lost we get accuracy. + +43 +00:02:26,510 --> 00:02:28,180 +And as you can see it's a nice shot. + +44 +00:02:28,190 --> 00:02:31,190 +Always good to see both of these things going up up and up. + +45 +00:02:31,190 --> 00:02:34,550 +What's good about this at least not all of this doesn't always happen. + +46 +00:02:34,550 --> 00:02:38,350 +What's good is that validation accuracy is higher than training accuracy. + +47 +00:02:38,780 --> 00:02:41,310 +So that means it's general generalizing quite well. + +48 +00:02:41,750 --> 00:02:43,830 +So you want to see the board move in the right direction. + +49 +00:02:43,840 --> 00:02:49,330 +He don't want to see the blue peak and then come down and you don't want to see this go up and up while + +50 +00:02:49,450 --> 00:02:51,590 +it happens because that means it's overfitting. diff --git a/8. Making a CNN in Keras/8.11 - Building a CNN for Image Classification - CIFAR10.ipynb b/8. Making a CNN in Keras/8.11 - Building a CNN for Image Classification - CIFAR10.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..5bf82742a9691f0b96039b24f916b00c7278e829 --- /dev/null +++ b/8. Making a CNN in Keras/8.11 - Building a CNN for Image Classification - CIFAR10.ipynb @@ -0,0 +1,379 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### The CIFAR-10 Dataset\n", + "* Contains 10 categories of images\n", + " * airplane\n", + " * automobile\n", + " * bird\n", + " * cat\n", + " * deer\n", + " * dog\n", + " * frog\n", + " * horse\n", + " * ship\n", + " * truck" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's Begin training out model for CIFAR-10 using a deeper CNN" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x_train shape: (50000, 32, 32, 3)\n", + "50000 train samples\n", + "10000 test samples\n", + "Model: \"sequential_5\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d_20 (Conv2D) (None, 32, 32, 32) 896 \n", + "_________________________________________________________________\n", + "activation_30 (Activation) (None, 32, 32, 32) 0 \n", + "_________________________________________________________________\n", + "conv2d_21 (Conv2D) (None, 30, 30, 32) 9248 \n", + "_________________________________________________________________\n", + "activation_31 (Activation) (None, 30, 30, 32) 0 \n", + "_________________________________________________________________\n", + "max_pooling2d_10 (MaxPooling (None, 15, 15, 32) 0 \n", + "_________________________________________________________________\n", + "dropout_15 (Dropout) (None, 15, 15, 32) 0 \n", + "_________________________________________________________________\n", + "conv2d_22 (Conv2D) (None, 15, 15, 64) 18496 \n", + "_________________________________________________________________\n", + "activation_32 (Activation) (None, 15, 15, 64) 0 \n", + "_________________________________________________________________\n", + "conv2d_23 (Conv2D) (None, 13, 13, 64) 36928 \n", + "_________________________________________________________________\n", + "activation_33 (Activation) (None, 13, 13, 64) 0 \n", + "_________________________________________________________________\n", + "max_pooling2d_11 (MaxPooling (None, 6, 6, 64) 0 \n", + "_________________________________________________________________\n", + "dropout_16 (Dropout) (None, 6, 6, 64) 0 \n", + "_________________________________________________________________\n", + "flatten_5 (Flatten) (None, 2304) 0 \n", + "_________________________________________________________________\n", + "dense_10 (Dense) (None, 512) 1180160 \n", + "_________________________________________________________________\n", + "activation_34 (Activation) (None, 512) 0 \n", + "_________________________________________________________________\n", + "dropout_17 (Dropout) (None, 512) 0 \n", + "_________________________________________________________________\n", + "dense_11 (Dense) (None, 10) 5130 \n", + "_________________________________________________________________\n", + "activation_35 (Activation) (None, 10) 0 \n", + "=================================================================\n", + "Total params: 1,250,858\n", + "Trainable params: 1,250,858\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n" + ] + } + ], + "source": [ + "from __future__ import print_function\n", + "import tensorflow as tf\n", + "from tensorflow.keras.datasets import cifar10\n", + "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten\n", + "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", + "from tensorflow.keras.models import load_model\n", + "from tensorflow.keras.utils import to_categorical\n", + "import os\n", + "\n", + "batch_size = 32\n", + "num_classes = 10\n", + "epochs = 1\n", + "\n", + "# Loads the CIFAR dataset\n", + "(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n", + "\n", + "# Display our data shape/dimensions\n", + "print('x_train shape:', x_train.shape)\n", + "print(x_train.shape[0], 'train samples')\n", + "print(x_test.shape[0], 'test samples')\n", + "\n", + "# Format our training data by Normalizing and changing data type\n", + "x_train = x_train.astype('float32')\n", + "x_test = x_test.astype('float32')\n", + "x_train /= 255\n", + "x_test /= 255\n", + "\n", + "# Now we one hot encode outputs\n", + "y_train = to_categorical(y_train)\n", + "y_test = to_categorical(y_test)\n", + "\n", + "model = Sequential()\n", + "# Padding = 'same' results in padding the input such that\n", + "# the output has the same length as the original input\n", + "model.add(Conv2D(32, (3, 3), padding='same',\n", + " input_shape=x_train.shape[1:]))\n", + "model.add(Activation('relu'))\n", + "model.add(Conv2D(32, (3, 3)))\n", + "model.add(Activation('relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.25))\n", + "\n", + "model.add(Conv2D(64, (3, 3), padding='same'))\n", + "model.add(Activation('relu'))\n", + "model.add(Conv2D(64, (3, 3)))\n", + "model.add(Activation('relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.25))\n", + "\n", + "model.add(Flatten())\n", + "model.add(Dense(512))\n", + "model.add(Activation('relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Dense(num_classes))\n", + "model.add(Activation('softmax'))\n", + "\n", + "# initiate RMSprop optimizer and configure some parameters\n", + "opt = tf.keras.optimizers.RMSprop(lr=0.0001, decay=1e-6)\n", + "\n", + "# Let's create our model\n", + "model.compile(loss = 'categorical_crossentropy',\n", + " optimizer = opt,\n", + " metrics = ['accuracy'])\n", + "\n", + "print(model.summary())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Training Our Model" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train on 50000 samples, validate on 10000 samples\n", + "50000/50000 [==============================] - 174s 3ms/sample - loss: 1.4921 - accuracy: 0.4595 - val_loss: 1.5935 - val_accuracy: 0.4478\n", + "10000/10000 [==============================] - 5s 490us/sample - loss: 1.5935 - accuracy: 0.4478\n", + "Test loss: 1.5935393712997437\n", + "Test accuracy: 0.4478\n" + ] + } + ], + "source": [ + "history = model.fit(x_train, y_train,\n", + " batch_size=batch_size,\n", + " epochs=epochs,\n", + " validation_data=(x_test, y_test),\n", + " shuffle=True)\n", + "\n", + "model.save(\"cifar_simple_cnn_2.h5\")\n", + "\n", + "# Evaluate the performance of our trained model\n", + "scores = model.evaluate(x_test, y_test, verbose=1)\n", + "print('Test loss:', scores[0])\n", + "print('Test accuracy:', scores[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting our Accuracy and Loss Charts" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting our loss charts\n", + "import matplotlib.pyplot as plt\n", + "\n", + "history_dict = history.history\n", + "\n", + "loss_values = history_dict['loss']\n", + "val_loss_values = history_dict['val_loss']\n", + "epochs = range(1, len(loss_values) + 1)\n", + "\n", + "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Loss')\n", + "line2 = plt.plot(epochs, loss_values, label='Training Loss')\n", + "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", + "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", + "plt.xlabel('Epochs') \n", + "plt.ylabel('Loss')\n", + "plt.grid(True)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting our accuracy charts\n", + "import matplotlib.pyplot as plt\n", + "\n", + "history_dict = history.history\n", + "\n", + "acc_values = history_dict['accuracy']\n", + "val_acc_values = history_dict['val_accuracy']\n", + "epochs = range(1, len(loss_values) + 1)\n", + "\n", + "line1 = plt.plot(epochs, val_acc_values, label='Validation/Test Accuracy')\n", + "line2 = plt.plot(epochs, acc_values, label='Training Accuracy')\n", + "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", + "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", + "plt.xlabel('Epochs') \n", + "plt.ylabel('Accuracy')\n", + "plt.grid(True)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's run some tests" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "import cv2\n", + "import numpy as np\n", + "from tensorflow.keras.models import load_model\n", + "\n", + "img_row, img_height, img_depth = 32,32,3\n", + "classifier = load_model('cifar_simple_cnn_2.h5')\n", + "color = True \n", + "scale = 8\n", + "\n", + "def draw_test(name, res, input_im, scale, img_row, img_height):\n", + " BLACK = [0,0,0]\n", + " res = int(res)\n", + " if res == 0:\n", + " pred = \"airplane\"\n", + " if res == 1:\n", + " pred = \"automobile\"\n", + " if res == 2:\n", + " pred = \"bird\"\n", + " if res == 3:\n", + " pred = \"cat\"\n", + " if res == 4:\n", + " pred = \"deer\"\n", + " if res == 5:\n", + " pred = \"dog\"\n", + " if res == 6:\n", + " pred = \"frog\"\n", + " if res == 7:\n", + " pred = \"horse\"\n", + " if res == 8:\n", + " pred = \"ship\"\n", + " if res == 9:\n", + " pred = \"truck\"\n", + " \n", + " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0]*2 ,cv2.BORDER_CONSTANT,value=BLACK)\n", + " if color == False:\n", + " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", + " cv2.putText(expanded_image, str(pred), (300, 80) , cv2.FONT_HERSHEY_COMPLEX_SMALL,3, (0,255,0), 2)\n", + " cv2.imshow(name, expanded_image)\n", + "\n", + "\n", + "for i in range(0,10):\n", + " rand = np.random.randint(0,len(x_test))\n", + " input_im = x_test[rand]\n", + " imageL = cv2.resize(input_im, None, fx=scale, fy=scale, interpolation = cv2.INTER_CUBIC) \n", + " input_im = input_im.reshape(1,img_row, img_height, img_depth) \n", + " \n", + " ## Get Prediction\n", + " res = str(classifier.predict_classes(input_im, 1, verbose = 0)[0])\n", + " \n", + " draw_test(\"Prediction\", res, imageL, scale, img_row, img_height) \n", + " cv2.waitKey(0)\n", + "\n", + "cv2.destroyAllWindows()" + ] + }, + { + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/8. Making a CNN in Keras/8.3 to 8.10 - Building a CNN for handwritten digits - MNIST.ipynb b/8. Making a CNN in Keras/8.3 to 8.10 - Building a CNN for handwritten digits - MNIST.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..c67dd5e0f3d3795967ed2b843882565a391fbc2c --- /dev/null +++ b/8. Making a CNN in Keras/8.3 to 8.10 - Building a CNN for handwritten digits - MNIST.ipynb @@ -0,0 +1,892 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Our First CNN in Keras \n", + "### Creating a model based on the MNIST Dataset of Handwrittent Digits" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 1: Lets load our dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(60000, 28, 28)\n" + ] + } + ], + "source": [ + "from tensorflow.keras.datasets import mnist\n", + "\n", + "# loads the MNIST dataset\n", + "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", + "\n", + "print (x_train.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 2A: Examine the size and image dimenions (not required but good practice)\n", + "- Check the number of samples, dimenions and whether images are color or grayscale\n", + "- We see that our training data consist of **60,000** samples of training data, **10,000** samples of test data\n", + "- Our labels are appropriately sized as well\n", + "- Our Image dimenions are **28 x 28**, with **no color channels** (i.e. they are grayscale, so no BGR channels)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Initial shape or dimensions of x_train (60000, 28, 28)\n", + "Number of samples in our training data: 60000\n", + "Number of labels in our training data: 60000\n", + "Number of samples in our test data: 10000\n", + "Number of labels in our test data: 10000\n", + "\n", + "Dimensions of x_train:(28, 28)\n", + "Labels in x_train:(60000,)\n", + "\n", + "Dimensions of x_test:(28, 28)\n", + "Labels in y_test:(10000,)\n" + ] + } + ], + "source": [ + "# printing the number of samples in x_train, x_test, y_train, y_test\n", + "print(\"Initial shape or dimensions of x_train\", str(x_train.shape))\n", + "\n", + "print (\"Number of samples in our training data: \" + str(len(x_train)))\n", + "print (\"Number of labels in our training data: \" + str(len(y_train)))\n", + "print (\"Number of samples in our test data: \" + str(len(x_test)))\n", + "print (\"Number of labels in our test data: \" + str(len(y_test)))\n", + "print()\n", + "print (\"Dimensions of x_train:\" + str(x_train[0].shape))\n", + "print (\"Labels in x_train:\" + str(y_train.shape))\n", + "print()\n", + "print (\"Dimensions of x_test:\" + str(x_test[0].shape))\n", + "print (\"Labels in y_test:\" + str(y_test.shape))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 2B - Let's take a look at some of images in this dataset\n", + "- Using OpenCV\n", + "- Using Matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Using OpenCV\n", + "# import opencv and numpy\n", + "import cv2 \n", + "import numpy as np\n", + "\n", + "# Use OpenCV to display 6 random images from our dataset\n", + "for i in range(0,6):\n", + " random_num = np.random.randint(0, len(x_train))\n", + " img = x_train[random_num]\n", + " window_name = 'Random Sample #' + str(i)\n", + " cv2.imshow(window_name, img)\n", + " cv2.waitKey(0)\n", + "\n", + "cv2.destroyAllWindows() " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's do the same thing but using matplotlib to plot 6 images " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# importing matplot lib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Plots 6 images, note subplot's arugments are nrows,ncols,index\n", + "# we set the color map to grey since our image dataset is grayscale\n", + "plt.subplot(331)\n", + "random_num = np.random.randint(0,len(x_train))\n", + "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", + "\n", + "plt.subplot(332)\n", + "random_num = np.random.randint(0,len(x_train))\n", + "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", + "\n", + "plt.subplot(333)\n", + "random_num = np.random.randint(0,len(x_train))\n", + "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", + "\n", + "plt.subplot(334)\n", + "random_num = np.random.randint(0,len(x_train))\n", + "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", + "\n", + "plt.subplot(335)\n", + "random_num = np.random.randint(0,len(x_train))\n", + "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", + "\n", + "plt.subplot(336)\n", + "random_num = np.random.randint(0,len(x_train))\n", + "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", + "\n", + "# Display out plots\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 3A - Prepare our dataset for training" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x_train shape: (60000, 28, 28, 1)\n", + "60000 train samples\n", + "10000 test samples\n" + ] + } + ], + "source": [ + "# Lets store the number of rows and columns\n", + "img_rows = x_train[0].shape[0]\n", + "img_cols = x_train[0].shape[1]\n", + "\n", + "# Getting our date in the right 'shape' needed for Keras\n", + "# We need to add a 4th dimenion to our date thereby changing our\n", + "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", + "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", + "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", + "\n", + "# store the shape of a single image \n", + "input_shape = (img_rows, img_cols, 1)\n", + "\n", + "# change our image type to float32 data type\n", + "x_train = x_train.astype('float32')\n", + "x_test = x_test.astype('float32')\n", + "\n", + "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", + "x_train /= 255\n", + "x_test /= 255\n", + "\n", + "print('x_train shape:', x_train.shape)\n", + "print(x_train.shape[0], 'train samples')\n", + "print(x_test.shape[0], 'test samples')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 3B - One Hot Encode Our Labels (Y)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of Classes: 10\n" + ] + } + ], + "source": [ + "from tensorflow.keras.utils import to_categorical\n", + "\n", + "# Now we one hot encode outputs\n", + "y_train = to_categorical(y_train)\n", + "y_test = to_categorical(y_test)\n", + "\n", + "# Let's count the number columns in our hot encoded matrix \n", + "print (\"Number of Classes: \" + str(y_test.shape[1]))\n", + "\n", + "num_classes = y_test.shape[1]\n", + "num_pixels = x_train.shape[1] * x_train.shape[2]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0., 0., 0., 0., 0., 1., 0., 0., 0., 0.], dtype=float32)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y_train[0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 4 - Create Our Model\n", + "- We're constructing a simple but effective CNN that uses 32 filters of size 3x3\n", + "- We've added a 2nd CONV layer of 64 filters of the same size 3x2\n", + "- We then downsample our data to 2x2, here he apply a dropout where p is set to 0.25\n", + "- We then flatten our Max Pool output that is connected to a Dense/FC layer that has an output size of 128\n", + "- How we apply a dropout where P is set to 0.5\n", + "- Thus 128 output is connected to another FC/Dense layer that outputs to the 10 categorical units" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential_1\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d (Conv2D) (None, 26, 26, 32) 320 \n", + "_________________________________________________________________\n", + "conv2d_1 (Conv2D) (None, 24, 24, 64) 18496 \n", + "_________________________________________________________________\n", + "max_pooling2d (MaxPooling2D) (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "dropout (Dropout) (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "flatten (Flatten) (None, 9216) 0 \n", + "_________________________________________________________________\n", + "dense (Dense) (None, 128) 1179776 \n", + "_________________________________________________________________\n", + "dropout_1 (Dropout) (None, 128) 0 \n", + "_________________________________________________________________\n", + "dense_1 (Dense) (None, 10) 1290 \n", + "=================================================================\n", + "Total params: 1,199,882\n", + "Trainable params: 1,199,882\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n" + ] + } + ], + "source": [ + "import tensorflow as tf\n", + "from tensorflow.keras.datasets import mnist\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Dense, Dropout, Flatten\n", + "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", + "from tensorflow.keras import backend as K\n", + "from tensorflow.keras.optimizers import SGD \n", + "\n", + "# create model\n", + "model = Sequential()\n", + "\n", + "model.add(Conv2D(32, kernel_size=(3, 3),\n", + " activation='relu',\n", + " input_shape=input_shape))\n", + "model.add(Conv2D(64, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.25))\n", + "model.add(Flatten())\n", + "model.add(Dense(128, activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Dense(num_classes, activation='softmax'))\n", + "\n", + "model.compile(loss = 'categorical_crossentropy',\n", + " optimizer = tf.keras.optimizers.SGD(0.01),\n", + " metrics = ['accuracy'])\n", + "\n", + "print(model.summary())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 5 - Train our Model\n", + "- We place our formatted data as the inputs and set the batch size, number of epochs\n", + "- We store our model's training results for plotting in future\n", + "- We then use Kera's molel.evaluate function to output the model's fina performance. Here we are examing Test Loss and Test Accuracy" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train on 60000 samples, validate on 10000 samples\n", + "Epoch 1/10\n", + "60000/60000 [==============================] - 189s 3ms/step - loss: 0.2901 - acc: 0.9124 - val_loss: 0.1392 - val_acc: 0.9581\n", + "Epoch 2/10\n", + "60000/60000 [==============================] - 316s 5ms/step - loss: 0.2177 - acc: 0.9348 - val_loss: 0.1016 - val_acc: 0.9709\n", + "Epoch 3/10\n", + "60000/60000 [==============================] - 319s 5ms/step - loss: 0.1699 - acc: 0.9494 - val_loss: 0.0790 - val_acc: 0.9737\n", + "Epoch 4/10\n", + "60000/60000 [==============================] - 371s 6ms/step - loss: 0.1393 - acc: 0.9581 - val_loss: 0.0673 - val_acc: 0.9788\n", + "Epoch 5/10\n", + "60000/60000 [==============================] - 244s 4ms/step - loss: 0.1199 - acc: 0.9635 - val_loss: 0.0596 - val_acc: 0.9811\n", + "Epoch 6/10\n", + "60000/60000 [==============================] - 179s 3ms/step - loss: 0.1072 - acc: 0.9681 - val_loss: 0.0516 - val_acc: 0.9830\n", + "Epoch 7/10\n", + "60000/60000 [==============================] - 213s 4ms/step - loss: 0.0968 - acc: 0.9711 - val_loss: 0.0481 - val_acc: 0.9847\n", + "Epoch 8/10\n", + "60000/60000 [==============================] - 194s 3ms/step - loss: 0.0874 - acc: 0.9748 - val_loss: 0.0470 - val_acc: 0.9853\n", + "Epoch 9/10\n", + "60000/60000 [==============================] - 193s 3ms/step - loss: 0.0823 - acc: 0.9749 - val_loss: 0.0434 - val_acc: 0.9854\n", + "Epoch 10/10\n", + "60000/60000 [==============================] - 158s 3ms/step - loss: 0.0752 - acc: 0.9769 - val_loss: 0.0413 - val_acc: 0.9860\n", + "Test loss: 0.041306651647796386\n", + "Test accuracy: 0.986\n" + ] + } + ], + "source": [ + "batch_size = 32\n", + "epochs = 10\n", + "\n", + "history = model.fit(x_train,\n", + " y_train,\n", + " batch_size = batch_size,\n", + " epochs = epochs,\n", + " verbose = 1,\n", + " validation_data = (x_test, y_test))\n", + "\n", + "score = model.evaluate(x_test, y_test, verbose=0)\n", + "print('Test loss:', score[0])\n", + "print('Test accuracy:', score[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 6 - Ploting our Loss and Accuracy Charts" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting our loss charts\n", + "import matplotlib.pyplot as plt\n", + "\n", + "history_dict = history.history\n", + "\n", + "loss_values = history_dict['loss']\n", + "val_loss_values = history_dict['val_loss']\n", + "epochs = range(1, len(loss_values) + 1)\n", + "\n", + "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Loss')\n", + "line2 = plt.plot(epochs, loss_values, label='Training Loss')\n", + "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", + "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", + "plt.xlabel('Epochs') \n", + "plt.ylabel('Loss')\n", + "plt.grid(True)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting our accuracy charts\n", + "import matplotlib.pyplot as plt\n", + "\n", + "history_dict = history.history\n", + "\n", + "acc_values = history_dict['accuracy']\n", + "val_acc_values = history_dict['val_accuracy']\n", + "epochs = range(1, len(loss_values) + 1)\n", + "\n", + "line1 = plt.plot(epochs, val_acc_values, label='Validation/Test Accuracy')\n", + "line2 = plt.plot(epochs, acc_values, label='Training Accuracy')\n", + "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", + "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", + "plt.xlabel('Epochs') \n", + "plt.ylabel('Accuracy')\n", + "plt.grid(True)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 7A - Saving our Model" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model Saved\n" + ] + } + ], + "source": [ + "model.save(\"8_mnist_simple_cnn_10_Epochs.h5\")\n", + "print(\"Model Saved\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 7B - Loading our Model" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "from keras.models import load_model\n", + "\n", + "classifier = load_model('8_mnist_simple_cnn_10_Epochs.h5')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 8 - Lets input some of our test data into our classifer" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [], + "source": [ + "import cv2\n", + "import numpy as np\n", + "\n", + "\n", + "def draw_test(name, pred, input_im):\n", + " BLACK = [0,0,0]\n", + " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0] ,cv2.BORDER_CONSTANT,value=BLACK)\n", + " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", + " cv2.putText(expanded_image, str(pred), (152, 70) , cv2.FONT_HERSHEY_COMPLEX_SMALL,4, (0,255,0), 2)\n", + " cv2.imshow(name, expanded_image)\n", + "\n", + "\n", + "for i in range(0,10):\n", + " rand = np.random.randint(0,len(x_test))\n", + " input_im = x_test[rand]\n", + "\n", + " imageL = cv2.resize(input_im, None, fx=4, fy=4, interpolation = cv2.INTER_CUBIC)\n", + " input_im = input_im.reshape(1,28,28,1) \n", + " \n", + " ## Get Prediction\n", + " res = str(classifier.predict_classes(input_im, 1, verbose = 0)[0])\n", + "\n", + " draw_test(\"Prediction\", res, imageL) \n", + " cv2.waitKey(0)\n", + "\n", + "cv2.destroyAllWindows()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Putting All Together!\n", + "We don't need to run each section of code separately. Once we know it all works as it's supposed to, we can put all te pieces together and start training our model" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x_train shape: (60000, 28, 28, 1)\n", + "60000 train samples\n", + "10000 test samples\n", + "Number of Classes: 10\n", + "Model: \"sequential_2\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d_2 (Conv2D) (None, 26, 26, 32) 320 \n", + "_________________________________________________________________\n", + "conv2d_3 (Conv2D) (None, 24, 24, 64) 18496 \n", + "_________________________________________________________________\n", + "max_pooling2d_1 (MaxPooling2 (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "dropout_2 (Dropout) (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "flatten_1 (Flatten) (None, 9216) 0 \n", + "_________________________________________________________________\n", + "dense_2 (Dense) (None, 128) 1179776 \n", + "_________________________________________________________________\n", + "dropout_3 (Dropout) (None, 128) 0 \n", + "_________________________________________________________________\n", + "dense_3 (Dense) (None, 10) 1290 \n", + "=================================================================\n", + "Total params: 1,199,882\n", + "Trainable params: 1,199,882\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n", + "Train on 60000 samples, validate on 10000 samples\n", + "60000/60000 [==============================] - 88s 1ms/sample - loss: 0.9624 - accuracy: 0.7049 - val_loss: 0.3080 - val_accuracy: 0.9083\n", + "Test loss: 0.30797242881059644\n", + "Test accuracy: 0.9083\n" + ] + } + ], + "source": [ + "from tensorflow.keras.datasets import mnist\n", + "from tensorflow.keras.utils import to_categorical\n", + "import tensorflow as tf\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import Dense, Dropout, Flatten\n", + "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", + "from tensorflow.keras import backend as K\n", + "from tensorflow.keras.optimizers import SGD \n", + "\n", + "# Training Parameters\n", + "batch_size = 128\n", + "epochs = 1\n", + "\n", + "# loads the MNIST dataset\n", + "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", + "\n", + "# Lets store the number of rows and columns\n", + "img_rows = x_train[0].shape[0]\n", + "img_cols = x_train[1].shape[0]\n", + "\n", + "# Getting our date in the right 'shape' needed for Keras\n", + "# We need to add a 4th dimenion to our date thereby changing our\n", + "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", + "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", + "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", + "\n", + "# store the shape of a single image \n", + "input_shape = (img_rows, img_cols, 1)\n", + "\n", + "# change our image type to float32 data type\n", + "x_train = x_train.astype('float32')\n", + "x_test = x_test.astype('float32')\n", + "\n", + "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", + "x_train /= 255\n", + "x_test /= 255\n", + "\n", + "print('x_train shape:', x_train.shape)\n", + "print(x_train.shape[0], 'train samples')\n", + "print(x_test.shape[0], 'test samples')\n", + "\n", + "# Now we one hot encode outputs\n", + "y_train = to_categorical(y_train)\n", + "y_test = to_categorical(y_test)\n", + "\n", + "# Let's count the number columns in our hot encoded matrix \n", + "print (\"Number of Classes: \" + str(y_test.shape[1]))\n", + "\n", + "num_classes = y_test.shape[1]\n", + "num_pixels = x_train.shape[1] * x_train.shape[2]\n", + "\n", + "# create model\n", + "model = Sequential()\n", + "\n", + "model.add(Conv2D(32, kernel_size=(3, 3),\n", + " activation='relu',\n", + " input_shape=input_shape))\n", + "model.add(Conv2D(64, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.25))\n", + "model.add(Flatten())\n", + "model.add(Dense(128, activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Dense(num_classes, activation='softmax'))\n", + "\n", + "model.compile(loss = 'categorical_crossentropy',\n", + " optimizer = SGD(0.01),\n", + " metrics = ['accuracy'])\n", + "\n", + "print(model.summary())\n", + "\n", + "history = model.fit(x_train, y_train,\n", + " batch_size=batch_size,\n", + " epochs=epochs,\n", + " verbose=1,\n", + " validation_data=(x_test, y_test))\n", + "\n", + "score = model.evaluate(x_test, y_test, verbose=0)\n", + "print('Test loss:', score[0])\n", + "print('Test accuracy:', score[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualizing Our Model\n", + "- First let's re-create our model " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential_5\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d_8 (Conv2D) (None, 26, 26, 32) 320 \n", + "_________________________________________________________________\n", + "conv2d_9 (Conv2D) (None, 24, 24, 64) 18496 \n", + "_________________________________________________________________\n", + "max_pooling2d_4 (MaxPooling2 (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "dropout_8 (Dropout) (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "flatten_4 (Flatten) (None, 9216) 0 \n", + "_________________________________________________________________\n", + "dense_8 (Dense) (None, 128) 1179776 \n", + "_________________________________________________________________\n", + "dropout_9 (Dropout) (None, 128) 0 \n", + "_________________________________________________________________\n", + "dense_9 (Dense) (None, 10) 1290 \n", + "=================================================================\n", + "Total params: 1,199,882\n", + "Trainable params: 1,199,882\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n" + ] + } + ], + "source": [ + "%matplotlib inline\n", + "import tensorflow as tf\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.utils import plot_model\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.image as mpimg\n", + "import numpy as np\n", + "from tensorflow.keras.layers import Dense, Dropout, Flatten\n", + "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", + "from tensorflow.keras import backend as K\n", + "from tensorflow.keras.optimizers import SGD \n", + "\n", + "input_shape = (28,28,1)\n", + "num_classes = 10\n", + "\n", + "model = Sequential()\n", + "\n", + "model.add(Conv2D(32, kernel_size=(3, 3),\n", + " activation='relu',\n", + " input_shape=input_shape))\n", + "model.add(Conv2D(64, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.25))\n", + "model.add(Flatten())\n", + "model.add(Dense(128, activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Dense(num_classes, activation='softmax'))\n", + "\n", + "model.compile(loss = 'categorical_crossentropy',\n", + " optimizer = SGD(0.01),\n", + " metrics = ['accuracy'])\n", + "\n", + "print(model.summary()) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generating the diagram of the model architecture" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Failed to import pydot. You must install pydot and graphviz for `pydotprint` to work.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Generate the plot\n", + "plot_model(model, to_file = 'model_plot.png',\n", + " show_shapes = True,\n", + " show_layer_names = True)\n", + "\n", + "# Show the plot here\n", + "img = mpimg.imread('model_plot.png')\n", + "plt.figure(figsize=(30,15))\n", + "imgplot = plt.imshow(img) " + ] + }, + { + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/8. Making a CNN in Keras/model_plot.png b/8. Making a CNN in Keras/model_plot.png new file mode 100644 index 0000000000000000000000000000000000000000..688a2412f78cb3b5aa6020a69a961071fe8700c1 Binary files /dev/null and b/8. Making a CNN in Keras/model_plot.png differ diff --git a/8. Making a CNN in Keras/preprocessors.py b/8. Making a CNN in Keras/preprocessors.py new file mode 100644 index 0000000000000000000000000000000000000000..f2525c10eb15ccbbe9ac03e0ce3c256f31bb986d --- /dev/null +++ b/8. Making a CNN in Keras/preprocessors.py @@ -0,0 +1,70 @@ +import numpy as np +import cv2 + +def x_cord_contour(contour): + # This function take a contour from findContours + # it then outputs the x centroid coordinates + + if cv2.contourArea(contour) > 10: + M = cv2.moments(contour) + return (int(M['m10']/M['m00'])) + else: + pass + + +def makeSquare(not_square): + # This function takes an image and makes the dimenions square + # It adds black pixels as the padding where needed + + BLACK = [0,0,0] + img_dim = not_square.shape + height = img_dim[0] + width = img_dim[1] + #print("Height = ", height, "Width = ", width) + if (height == width): + square = not_square + return square + else: + doublesize = cv2.resize(not_square,(2*width, 2*height), interpolation = cv2.INTER_CUBIC) + height = height * 2 + width = width * 2 + #print("New Height = ", height, "New Width = ", width) + if (height > width): + pad = (height - width)/2 + #print("Padding = ", pad) + doublesize_square = cv2.copyMakeBorder(doublesize,0,0,pad,\ + pad,cv2.BORDER_CONSTANT,value=BLACK) + else: + pad = (width - height)/2 + #print("Padding = ", pad) + doublesize_square = cv2.copyMakeBorder(doublesize,pad,pad,0,0,\ + cv2.BORDER_CONSTANT,value=BLACK) + doublesize_square_dim = doublesize_square.shape + #print("Sq Height = ", doublesize_square_dim[0], "Sq Width = ", doublesize_square_dim[1]) + return doublesize_square + + +def resize_to_pixel(dimensions, image): + # This function then re-sizes an image to the specificied dimenions + + buffer_pix = 4 + dimensions = dimensions - buffer_pix + squared = image + r = float(dimensions) / squared.shape[1] + dim = (dimensions, int(squared.shape[0] * r)) + resized = cv2.resize(image, dim, interpolation = cv2.INTER_AREA) + img_dim2 = resized.shape + height_r = img_dim2[0] + width_r = img_dim2[1] + BLACK = [0,0,0] + if (height_r > width_r): + resized = cv2.copyMakeBorder(resized,0,0,0,1,cv2.BORDER_CONSTANT,value=BLACK) + if (height_r < width_r): + resized = cv2.copyMakeBorder(resized,1,0,0,0,cv2.BORDER_CONSTANT,value=BLACK) + p = 2 + ReSizedImg = cv2.copyMakeBorder(resized,p,p,p,p,cv2.BORDER_CONSTANT,value=BLACK) + img_dim = ReSizedImg.shape + height = img_dim[0] + width = img_dim[1] + #print("Padded Height = ", height, "Width = ", width) + return ReSizedImg diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.1 Activation Maximization using Keras Visualization Toolkit.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.1 Activation Maximization using Keras Visualization Toolkit.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..22044939073896dd306451b36db7feffd838fbe8 --- /dev/null +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.1 Activation Maximization using Keras Visualization Toolkit.ipynb @@ -0,0 +1,267 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Activation Maximization\n", + "\n", + "Lesson has been changed and updated for Tensorflow 2.0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "https://github.com/keisen/tf-keras-vis/blob/master/examples/visualize_dense_layer.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 GPUs\n" + ] + } + ], + "source": [ + "%reload_ext autoreload\n", + "%autoreload 2\n", + "\n", + "import tensorflow as tf\n", + "from tf_keras_vis.utils import print_gpus\n", + "\n", + "print_gpus()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load VGG16, a pretrained imagenet model" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"vgg16\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "input_1 (InputLayer) [(None, 224, 224, 3)] 0 \n", + "_________________________________________________________________\n", + "block1_conv1 (Conv2D) (None, 224, 224, 64) 1792 \n", + "_________________________________________________________________\n", + "block1_conv2 (Conv2D) (None, 224, 224, 64) 36928 \n", + "_________________________________________________________________\n", + "block1_pool (MaxPooling2D) (None, 112, 112, 64) 0 \n", + "_________________________________________________________________\n", + "block2_conv1 (Conv2D) (None, 112, 112, 128) 73856 \n", + "_________________________________________________________________\n", + "block2_conv2 (Conv2D) (None, 112, 112, 128) 147584 \n", + "_________________________________________________________________\n", + "block2_pool (MaxPooling2D) (None, 56, 56, 128) 0 \n", + "_________________________________________________________________\n", + "block3_conv1 (Conv2D) (None, 56, 56, 256) 295168 \n", + "_________________________________________________________________\n", + "block3_conv2 (Conv2D) (None, 56, 56, 256) 590080 \n", + "_________________________________________________________________\n", + "block3_conv3 (Conv2D) (None, 56, 56, 256) 590080 \n", + "_________________________________________________________________\n", + "block3_pool (MaxPooling2D) (None, 28, 28, 256) 0 \n", + "_________________________________________________________________\n", + "block4_conv1 (Conv2D) (None, 28, 28, 512) 1180160 \n", + "_________________________________________________________________\n", + "block4_conv2 (Conv2D) (None, 28, 28, 512) 2359808 \n", + "_________________________________________________________________\n", + "block4_conv3 (Conv2D) (None, 28, 28, 512) 2359808 \n", + "_________________________________________________________________\n", + "block4_pool (MaxPooling2D) (None, 14, 14, 512) 0 \n", + "_________________________________________________________________\n", + "block5_conv1 (Conv2D) (None, 14, 14, 512) 2359808 \n", + "_________________________________________________________________\n", + "block5_conv2 (Conv2D) (None, 14, 14, 512) 2359808 \n", + "_________________________________________________________________\n", + "block5_conv3 (Conv2D) (None, 14, 14, 512) 2359808 \n", + "_________________________________________________________________\n", + "block5_pool (MaxPooling2D) (None, 7, 7, 512) 0 \n", + "_________________________________________________________________\n", + "flatten (Flatten) (None, 25088) 0 \n", + "_________________________________________________________________\n", + "fc1 (Dense) (None, 4096) 102764544 \n", + "_________________________________________________________________\n", + "fc2 (Dense) (None, 4096) 16781312 \n", + "_________________________________________________________________\n", + "predictions (Dense) (None, 1000) 4097000 \n", + "=================================================================\n", + "Total params: 138,357,544\n", + "Trainable params: 138,357,544\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "from tensorflow.keras.applications.vgg16 import VGG16 as Model\n", + "\n", + "# Load model\n", + "model = Model(weights='imagenet', include_top=True)\n", + "model.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualizing a specific output category" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**ActivationMaximization** will maximize the value that is computed by the loss function passed as argument. Here, we try to visualize a category as defined No.20 (ouzel) of imagenet.\n", + "\n", + "[!NOTE] The softmax activation function which is applied to model's last layer may obstruct generating shape images, so that you need to replace the function to a linear function using model_modifier." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Steps: 100\tLosses: [125.81570434570312],\tRegularizations: [('TotalVariation', 90.35606384277344), ('L2Norm', 0.025609174743294716)]\n", + "Steps: 200\tLosses: [197.79159545898438],\tRegularizations: [('TotalVariation', 93.89913940429688), ('L2Norm', 0.02545984648168087)]\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "%matplotlib inline\n", + "from tensorflow.keras import backend as K\n", + "from tf_keras_vis.activation_maximization import ActivationMaximization\n", + "from tf_keras_vis.utils.callbacks import Print\n", + "\n", + "# Define modifier to replace a softmax function of the last layer to a linear function.\n", + "def model_modifier(m):\n", + " m.layers[-1].activation = tf.keras.activations.linear\n", + "\n", + "# Create Activation Maximization object\n", + "activation_maximization = ActivationMaximization(model, model_modifier)\n", + "\n", + "# Define loss function. 20 is the imagenet index corresponding to ouzel.\n", + "loss = lambda x: K.mean(x[:, 20])\n", + "\n", + "# Generate max activation with debug printing\n", + "activation = activation_maximization(loss, callbacks=[Print(interval=100)])\n", + "image = activation[0].astype(np.uint8)\n", + "\n", + "f, ax = plt.subplots(figsize=(10, 5), subplot_kw={'xticks': [], 'yticks': []})\n", + "ax.imshow(image)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's see if we can get better results with more iterations and generate a GIF as it evolves" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Steps: 100\tLosses: [137.27935791015625],\tRegularizations: [('TotalVariation', 87.05181121826172), ('L2Norm', 0.025591375306248665)]\n", + "Steps: 200\tLosses: [244.4339599609375],\tRegularizations: [('TotalVariation', 99.19427490234375), ('L2Norm', 0.02542869932949543)]\n", + "Steps: 300\tLosses: [296.3731994628906],\tRegularizations: [('TotalVariation', 107.99679565429688), ('L2Norm', 0.025283876806497574)]\n", + "Steps: 400\tLosses: [283.322265625],\tRegularizations: [('TotalVariation', 108.83818054199219), ('L2Norm', 0.02515660971403122)]\n", + "Steps: 500\tLosses: [294.36651611328125],\tRegularizations: [('TotalVariation', 105.03105926513672), ('L2Norm', 0.025105057284235954)]\n" + ] + }, + { + "ename": "FileNotFoundError", + "evalue": "The directory \"C:\\\\Users\\\\Rajeev\\\\DeepLearningCV\\\\ 9. Visualizing What CNNs 'see' & Filter Visualization\\\\images\" does not exist", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0msteps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m512\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m callbacks=[ Print(interval=100),\n\u001b[1;32m----> 7\u001b[1;33m GifGenerator('images/activation_maximization')])\n\u001b[0m\u001b[0;32m 8\u001b[0m \u001b[0mimage\u001b[0m \u001b[1;33m=\u001b[0m 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Visualizing What CNNs 'see' & Filter Visualization\\\\images\" does not exist" + ] + } + ], + "source": [ + "from tf_keras_vis.utils.callbacks import GifGenerator\n", + "\n", + "# Do 500 iterations and Generate an optimizing animation\n", + "activation = activation_maximization(loss,\n", + " steps=512,\n", + " callbacks=[ Print(interval=100),\n", + " GifGenerator('images/activation_maximization')])\n", + "image = activation[0].astype(np.uint8)\n", + "\n", + "f, ax = plt.subplots(figsize=(10, 5), subplot_kw={'xticks': [], 'yticks': []})\n", + "ax.imshow(image)\n", + "plt.show()" + ] + } + ], + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.2 Saliency Maps.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.2 Saliency Maps.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..e5fe9cdb833d6b30d2147a8b206cf087e7d9e20c --- /dev/null +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.2 Saliency Maps.ipynb @@ -0,0 +1,844 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Activation Maximization on MNIST" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "https://github.com/raghakot/keras-vis/blob/master/examples/mnist/activation_maximization.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x_train shape: (60000, 28, 28, 1)\n", + "60000 train samples\n", + "10000 test samples\n", + "Train on 60000 samples, validate on 10000 samples\n", + "Epoch 1/1\n", + "60000/60000 [==============================] - 139s 2ms/step - loss: 0.2495 - acc: 0.9229 - val_loss: 0.0486 - val_acc: 0.9843\n", + "Test loss: 0.04858853696002625\n", + "Test accuracy: 0.9843\n" + ] + } + ], + "source": [ + "from __future__ import print_function\n", + "\n", + "import numpy as np\n", + "import keras\n", + "\n", + "from keras.datasets import mnist\n", + "from keras.models import Sequential, Model\n", + "from keras.layers import Dense, Dropout, Flatten, Activation, Input\n", + "from keras.layers import Conv2D, MaxPooling2D\n", + "from keras import backend as K\n", + "\n", + "batch_size = 128\n", + "num_classes = 10\n", + "epochs = 1\n", + "\n", + "# input image dimensions\n", + "img_rows, img_cols = 28, 28\n", + "\n", + "# the data, shuffled and split between train and test sets\n", + "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", + "\n", + "if K.image_data_format() == 'channels_first':\n", + " x_train = x_train.reshape(x_train.shape[0], 1, img_rows, img_cols)\n", + " x_test = x_test.reshape(x_test.shape[0], 1, img_rows, img_cols)\n", + " input_shape = (1, img_rows, img_cols)\n", + "else:\n", + " x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", + " x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", + " input_shape = (img_rows, img_cols, 1)\n", + "\n", + "x_train = x_train.astype('float32')\n", + "x_test = x_test.astype('float32')\n", + "x_train /= 255\n", + "x_test /= 255\n", + "print('x_train shape:', x_train.shape)\n", + "print(x_train.shape[0], 'train samples')\n", + "print(x_test.shape[0], 'test samples')\n", + "\n", + "# convert class vectors to binary class matrices\n", + "y_train = keras.utils.to_categorical(y_train, num_classes)\n", + "y_test = keras.utils.to_categorical(y_test, num_classes)\n", + "\n", + "model = Sequential()\n", + "model.add(Conv2D(32, kernel_size=(3, 3),\n", + " activation='relu',\n", + " input_shape=input_shape))\n", + "model.add(Conv2D(64, (3, 3), activation='relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.25))\n", + "model.add(Flatten())\n", + "model.add(Dense(128, activation='relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Dense(num_classes, activation='softmax', name='preds'))\n", + "\n", + "model.compile(loss=keras.losses.categorical_crossentropy,\n", + " optimizer=keras.optimizers.Adam(),\n", + " metrics=['accuracy'])\n", + "\n", + "model.fit(x_train, y_train,\n", + " batch_size=batch_size,\n", + " epochs=epochs,\n", + " verbose=1,\n", + " validation_data=(x_test, y_test))\n", + "\n", + "score = model.evaluate(x_test, y_test, verbose=0)\n", + "print('Test loss:', score[0])\n", + "print('Test accuracy:', score[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Saliency Visualizations\n", + "\n", + "\n", + "\n", + "To visualize activation over final dense layer outputs, we need to switch the softmax activation out for linear since gradient of output node will depend on all the other node activations. Doing this in keras is tricky, so we provide utils.apply_modifications to modify network parameters and rebuild the graph.\n", + "\n", + "If this swapping is not done, the results might be suboptimal. We will start by swapping out 'softmax' for 'linear' and compare what happens if we dont do this at the end.\n", + "\n", + "Lets pick an input over which we want to show the attention" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from vis.visualization import visualize_saliency\n", + "from vis.utils import utils\n", + "from keras import activations\n", + "from matplotlib import pyplot as plt\n", + "%matplotlib inline\n", + "\n", + "class_idx = 0\n", + "indices = np.where(y_test[:, class_idx] == 1.)[0]\n", + "\n", + "# pick some random input from here.\n", + "idx = indices[0]\n", + "\n", + "# Utility to search for layer index by name. \n", + "# Alternatively we can specify this as -1 since it corresponds to the last layer.\n", + "layer_idx = utils.find_layer_idx(model, 'preds')\n", + "\n", + "# Swap softmax with linear\n", + "model.layers[layer_idx].activation = activations.linear\n", + "model = utils.apply_modifications(model)\n", + "\n", + "grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, seed_input=x_test[idx])\n", + "# Plot with 'jet' colormap to visualize as a heatmap.\n", + "plt.imshow(grads, cmap='jet')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To used guided saliency, we need to set backprop_modifier='guided'. For rectified saliency or deconv saliency, use backprop_modifier='relu'. Lets try these options quickly and see how they compare to vanilla saliency." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for modifier in ['guided', 'relu']:\n", + " grads = visualize_saliency(model, layer_idx, filter_indices=class_idx,\n", + " seed_input=x_test[idx], backprop_modifier=modifier)\n", + " plt.figure()\n", + " plt.title(modifier)\n", + " plt.imshow(grads, cmap='jet')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "Both of them look a lot better than vanilla saliency! This in inline with observation in the paper.\n", + "\n", + "We can also visualize negative gradients to see the parts of the image that contribute negatively to the output by using grad_modifier='negate'.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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0q14XUlV0zUrWut6mrNU7v0ihlPwihVLyixRKyS9SKCW/SKGU/CKFUvKLFCrt52+n2kTzga8Hd8jqm1HPfVa3zZZarnKNQTa2+cradVlv+QVx+G9OvaVp7OcfnhCOvXbEZWH8K3+IrxMYfcHmMM6TzUNv/zYeOvbAOM4hSXz/IJYtrZ0tj93dK2Rati39/HrnFymUkl+kUEp+kUIp+UUKpeQXKZSSX6RQSn6RQnW3WmkdPGKy03QqW7c/evwn4qEbV8fxO4LtvwFW/CSOf5Pzmsb+OR7KiiQed/vnpfb9gn0BxsY7j8drKEB+bUf0Wqv6eqm6XXwfXCegd36RQin5RQql5BcplJJfpFBKfpFCKflFCqXkFylUWm00s0nArcAEwIHZ7n6dmV0NfAPYsgH8Ve7+QPhgm4nX16+yXnk2NlvXP+vfjvq/D4uHjjwujp+3KI4/H/TEAywJYm/GQ5mQxA9J+t7HHpM8QFSrz/r1szp+dm1G9JxWrdP/P9DKpQabgMvdfaGZjQEWmNmDjdj33P3fOjc9EemUNPndfTWwuvH1ejNbCuzb6YmJSGdt0+/8ZjYZOIL/W5zpYjNbbGZzzGyPJmNmmdmAmQ2se6/SXEWkjVpOfjPbFfgxcKm7vw3cCBwMTKP+k8F3hxrn7rPdvebutfGj2jBjEWmLlpLfzEZST/w73P1eAHdf4+4fuvtm4IfA0Z2bpoi0W5r8ZmbAzcBSd7920O0TB93tDKD5dqwi0nda+bT/OOBcYImZbSlKXQWcbWbTqJf/VgAXdmSGg1Vpg8yW185EZaOs9TQ7drJ099Skb3ZqFMyWqM6WNA9aciurslQ75OXZSB+01PZaK5/2z6feib+1uKYvIn1NV/iJFErJL1IoJb9IoZT8IoVS8osUSskvUqj+qnZ2cjbZY2fxqCad1auzWnoWz2r1nRoL1ZY0h/jc9Nerrzh65xcplJJfpFBKfpFCKflFCqXkFymUkl+kUEp+kUKZu3fvYGbrgN8Mumkv4PWuTWDb9Ovc+nVeoLkNVzvndoC7j2/ljl1N/o8d3GzA3Ws9m0CgX+fWr/MCzW24ejU3/dgvUiglv0ihep38s3t8/Ei/zq1f5wWa23D1ZG49/Z1fRHqn1+/8ItIjPUl+MzvZzH5lZi+Y2ZW9mEMzZrbCzJaY2SIzG+jxXOaY2Voze3bQbePM7EEzW974e8ht0no0t6vNbFXj3C0ys1N6NLdJZvbfZva8mT1nZpc0bu/puQvm1ZPz1vUf+81sBPBr4ERgJfAUcLa7P9/ViTRhZiuAmrv3vCZsZn8BvAPc6u6HNm77V+BNd7+m8R/nHu5+RZ/M7WrgnV7v3NzYUGbi4J2lgdOB8+jhuQvmdSY9OG+9eOc/GnjB3V9y9w+AHwGn9WAefc/dHwXe3Orm04C5ja/nUn/xdF2TufUFd1/t7gsbX68Htuws3dNzF8yrJ3qR/PsCrwz6fiX9teW3Az8zswVmNqvXkxnChMa26QCvARN6OZkhpDs3d9NWO0v3zbkbzo7X7aYP/D5uhrsfCXwJuKjx421f8vrvbP1Urmlp5+ZuGWJn6T/q5bkb7o7X7daL5F8FTBr0/X6N2/qCu69q/L0WuI/+2314zZZNUht/r+3xfP6on3ZuHmpnafrg3PXTjte9SP6ngClmdqCZ7QicBczrwTw+xsxGNz6IwcxGAyfRf7sPzwNmNr6eCdzfw7l8RL/s3NxsZ2l6fO76bsdrd+/6H+AU6p/4vwh8qxdzaDKvg4BnGn+e6/XcgLuo/xi4kfpnI+cDewIPAcuBnwPj+mhutwFLgMXUE21ij+Y2g/qP9IuBRY0/p/T63AXz6sl50xV+IoXSB34ihVLyixRKyS9SKCW/SKGU/CKFUvKLFErJL1IoJb9Iof4XHy9EMWCQh78AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, seed_input=x_test[idx], \n", + " backprop_modifier='guided', grad_modifier='negate')\n", + "plt.imshow(grads, cmap='jet')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "Lets try all the classes and show original inputs and their heatmaps side by side. We cannot overlay the heatmap on original image since its grayscale.\n", + "\n", + "We will also compare the outputs of guided and rectified or deconv saliency.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# This corresponds to the Dense linear layer.\n", + "for class_idx in np.arange(10): \n", + " indices = np.where(y_test[:, class_idx] == 1.)[0]\n", + " idx = indices[0]\n", + "\n", + " f, ax = plt.subplots(1, 4)\n", + " ax[0].imshow(x_test[idx][..., 0])\n", + " \n", + " for i, modifier in enumerate([None, 'guided', 'relu']):\n", + " grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, \n", + " seed_input=x_test[idx], backprop_modifier=modifier)\n", + " if modifier is None:\n", + " modifier = 'vanilla'\n", + " ax[i+1].set_title(modifier) \n", + " ax[i+1].imshow(grads, cmap='jet')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Guided saliency seems to give the best results" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "## grad-CAM - vanilla, guided, rectified\n", + "\n", + "These should contain more detail since they use Conv or Pooling features that contain more spatial detail which is lost in Dense layers. The only additional detail compared to saliency is the penultimate_layer_idx. This specifies the pre-layer whose gradients should be used. See this paper for technical details: https://arxiv.org/pdf/1610.02391v1.pdf\n", + "\n", + "By default, if penultimate_layer_idx is not defined, it searches for the nearest pre layer. For our architecture, that would be the MaxPooling2D layer after all the Conv layers. Lets look at all the visualizations like before.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from vis.visualization import visualize_cam\n", + "\n", + "# This corresponds to the Dense linear layer.\n", + "for class_idx in np.arange(10): \n", + " indices = np.where(y_test[:, class_idx] == 1.)[0]\n", + " idx = indices[0]\n", + "\n", + " f, ax = plt.subplots(1, 4)\n", + " ax[0].imshow(x_test[idx][..., 0])\n", + " \n", + " for i, modifier in enumerate([None, 'guided', 'relu']):\n", + " grads = visualize_cam(model, layer_idx, filter_indices=class_idx, \n", + " seed_input=x_test[idx], backprop_modifier=modifier) \n", + " if modifier is None:\n", + " modifier = 'vanilla'\n", + " ax[i+1].set_title(modifier) \n", + " ax[i+1].imshow(grads, cmap='jet')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "In this case it appears that saliency is better than grad-CAM as penultimate MaxPooling2D layer has (12, 12) spatial resolution which is relatively large as compared to input of (28, 28). Is is likely that the conv layer hasnt captured enough high level information and most of that is likely within dense_4 layer.\n", + "\n", + "Here is the model summary for reference.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d_1 (Conv2D) (None, 26, 26, 32) 320 \n", + "_________________________________________________________________\n", + "conv2d_2 (Conv2D) (None, 24, 24, 64) 18496 \n", + "_________________________________________________________________\n", + "max_pooling2d_1 (MaxPooling2 (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "dropout_1 (Dropout) (None, 12, 12, 64) 0 \n", + "_________________________________________________________________\n", + "flatten_1 (Flatten) (None, 9216) 0 \n", + "_________________________________________________________________\n", + "dense_1 (Dense) (None, 128) 1179776 \n", + "_________________________________________________________________\n", + "dropout_2 (Dropout) (None, 128) 0 \n", + "_________________________________________________________________\n", + "preds (Dense) (None, 10) 1290 \n", + "=================================================================\n", + "Total params: 1,199,882\n", + "Trainable params: 1,199,882\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n" + ] + } + ], + "source": [ + "print(model.summary())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "## Visualization without swapping softmax\n", + "\n", + "As alluded at the beginning of the tutorial, we want to compare and see what happens if we didnt swap out softmax for linear activation. Lets try this with guided saliency which gave us the best results so far.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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a/Bl7ldJXbtxzcPa3fvt1pdkH/d23S/mj7/5aKT9dSgPsinaLiMUjmr2omK8exSp7H1Gc/fxafN+9h2fvq42Oy4v5Oyvhwt4Rcd/fPL6U3//MewZnT22fKs2+/DX/oZSPsy8ZHP3+37y6NvvcWjzOObyWX1XIvr82Om4u5mN5IbuyOPu2Yn5TMT+7PPIIAABAV7c8ZuZFmbkuM6/f6rbzMnNNZn5z5ttLRrsmALCQOY8AjN+QRx4/FBGnbOP297TWjp/59unZXQsA4Ed8KJxHAMaqWx5ba1+KiPVzsAsAwDY5jwCM3878n8dzMvNbM08jOWDWNgIAGM55BGCO7Gh5fF9EPCUijo+IOyLi/O0FM/OszFyRmSs2xQM7+OEAAB5lh84jET+Yq/0AJsoOlcfW2trW2kOttc0R8YGIOOExshe01pa11pYtiuFfvgAA4LHs6HkkYp+5WxJgguxQeczMQ7f64ekRcf32sgAAo+A8AjC3ul+ZNjM/HBEnR8TBmbk6It4eESdn5vER0WLLl/B8wwh3BAAWOOcRgPHrlsfW2hnbuPnCEewCALBNziMA47czr7YKAADAAtF95JFd272/9NxSfvOZd5XyX3nmRwvpa0uz63LE84c752OvG5w98i+uKc1+qLoMAI8wFREHFvL3FrKHFHdZVMwvLWSLx7x9967l79tQCK+tzX7vMaX4qb/6scHZPYuv/r88Tizlf+/S3x6cPfO095Vmx8tq8bjkpYOjh1+xsjT6nh/sX8rf95nHl/JxSyF789W12bGqmK8sU/0zvamYHy+PPAIAANClPAIAANClPAIAANClPAIAANClPAIAANClPAIAANClPAIAANClPAIAANClPAIAANClPAIAANClPAIAANA1Ne4FJtHuRx9Zyt/8a0tL+YtOvWBw9gV7XVuavTlaMT/cL916Smn2DVcdXcofcu3wbU7/nStKs3/tgJWl/PJXnz84++o/e2Vp9vTtq0t5AB5p94jYr5BfV8geXtylqvJ5/dm10fdtquXPGf5reOEfn10afVDcXcr/frx1cPaan3xhaXasqsXjruHRi096Y2n04z5/Zyn//ZOfMDi7OpeXZsfBL67l76qeX9YWstcVZ28o5iuKf452MR55BAAAoEt5BAAAoEt5BAAAoEt5BAAAoEt5BAAAoEt5BAAAoEt5BAAAoEt5BAAAoEt5BAAAoEt5BAAAoGtq3AvsKr532U8Mzv7x0z9cmn3Cnq26zmD/Z/MPS/mfXvH6Uv4J5+8xOLvopn8tzT5q4z+V8nf+8vGDs2fs963S7IjFpfR+u+01OHv/0w4tzd7j9tWlPACP1CJiUyFfyS4p7nJVMX/K8OjLjquNfnUtvttJPxic/WScXpp9eQ4/d0VExLHPqOUrXlXMf6qQvfobpdEP/PDIUv7xXxh+9vrekheXZsddf1TLly0qZNeObAt+lEceAQAA6FIeAQAA6FIeAQAA6FIeAQAA6FIeAQAA6FIeAQAA6FIeAQAA6FIeAQAA6FIeAQAA6FIeAQAA6FIeAQAA6Joa9wK7iu/fesDg7AnPaSPcpOaD339GKb/7F/Yv5b/z8s2Ds3s++Yml2S8/+p9K+bc//o8L6cWl2VVXbtxzcHbxN1aVZj9U3AWAR5qOiPWFfOVzxnRxlyXF/H7Do/sWR6+oxTe/f5/B2cs//7Ta8KcfV8tfXzl7vac2++YNtXy8sZAt3J8R8cOTDqzlzynk7/tiaXb993r17KWmzEceeQQAAKBLeQQAAKBLeQQAAKBLeQQAAKBLeQQAAKBLeQQAAKBLeQQAAKBLeQQAAKBLeQQAAKBLeQQAAKBLeQQAAKArW2tz9sH2ywPbifmiOft447LyT08s5a849fxS/oipvQdnd8/avw881DaX8gvFlRv3LOXf8/J/Pzi7+Vs3V9dhgixvV8aGtj7HvQcsJJlPbBFnFX7GokL2x4rbbBxdfv//Wht9Ui0eRxeyHynOvvPGWv7g44Znj62NjicU8z8sZA8vzr6rmP98IXvPB4rDjyjmbyrmK9aPcPZCcUG09t3ueaTbLDLzSZn5hcy8MTNvyMw3zdx+YGZekZkrZ74/YDbWBgB4JOcRgPEb8rDUdES8pbV2XEQ8NyJ+NTOPi4hzI+LK1toxEXHlzI8BAEbBeQRgzLrlsbV2R2vt2pm3740tjzkfFhGnRcTFM7GLI+Jlo1oSAFjYnEcAxq/0H+Iy84iIeFZELI+Ipa21O2bedWdELJ3VzQAAtsF5BGA8BpfHzNw3Ij4eEW9urW3Y+n1ty6vubPOVdzLzrMxckZkrNsUDO7UsALCwzcZ5JOL+OdgUYPIMKo+ZuSi2/EX9V621T8zcvDYzD515/6ERsW5bP7e1dkFrbVlrbdmiqL1iJQDAw2brPBIx/FXLAfj/hrzaakbEhRFxU2vt3Vu967KIOHPm7TMj4tLZXw8AwHkEYD6YGpB5fkS8JiKuy8xvztz2toh4Z0R8NDN/JSJui4hXjmZFAADnEYBx65bH1trVEbG9Lxj5otldBwDg0ZxHAMav9GqrAAAALEy55YXJ5sZ+eWA7Mf3j4CPtfsxRpfyt/3n4q5A/uHS6NPu1J36llB+l3XNzKf9QG/5vIZd89qdKs4/5g1tqu3zve6U8C9fydmVsaOu392gKMAKZT2wRZ417jRlHF/P7FbIb+pEf8dRifnEhWzuP1H9dRvgiSIcX80P+U9jD9irOvvnG4k/4aCF7cnH2qmJ+fTG/sZDdVJzNo10QrX23ex7xyCMAAABdyiMAAABdyiMAAABdyiMAAABdyiMAAABdyiMAAABdyiMAAABdyiMAAABdyiMAAABdyiMAAABdyiMAAABdU+NegIiHVn6nlD/it2r5iq/GHiObPZ8cFdeU8g+NaA8AFrrpEc5+RjG/qZi/rZBdVZy9vJh/aSG7tDZ69b/U8qVfl7uLsw8q5t9YyF5bnL2mmK/+/mI+8sgjAAAAXcojAAAAXcojAAAAXcojAAAAXcojAAAAXcojAAAAXcojAAAAXcojAAAAXcojAAAAXcojAAAAXcojAAAAXVPjXgAAYOFaW8xvLGQXFWdXVY6RS4qzDyrm7y9kVxdnH1HMTxeylfszImJlMb+hkL2lOJuFyCOPAAAAdCmPAAAAdCmPAAAAdCmPAAAAdCmPAAAAdCmPAAAAdCmPAAAAdCmPAAAAdCmPAAAAdCmPAAAAdE2NewEAgIVrYzE/XciuLc5eVMxvKuYr1hXzlWut/ppXr3N9MT9Ka0Y4u/r7ZZTzR/l7ka155BEAAIAu5REAAIAu5REAAIAu5REAAIAu5REAAIAu5REAAIAu5REAAIAu5REAAIAu5REAAIAu5REAAIAu5REAAICuqXEvAADAUJt20dlVG4v5NSPZYovFI5y9qJifT/fRqHeZT9fKwzzyCAAAQFe3PGbmkzLzC5l5Y2bekJlvmrn9vMxck5nfnPn2ktGvCwAsRM4jAOM35Gmr0xHxltbatZm5JCK+kZlXzLzvPa21d41uPQCAiHAeARi7bnlsrd0REXfMvH1vZt4UEYeNejEAgIc5jwCMX+n/PGbmERHxrIhYPnPTOZn5rcy8KDMPmOXdAAAexXkEYDwGl8fM3DciPh4Rb26tbYiI90XEUyLi+NjyL4Hnb+fnnZWZKzJzxaZ4YBZWBgAWqtk4j0TcP2f7AkySQeUxMxfFlr+o/6q19omIiNba2tbaQ621zRHxgYg4YVs/t7V2QWttWWtt2aLYc7b2BgAWmNk6j0TsPXdLA0yQIa+2mhFxYUTc1Fp791a3H7pV7PSIuH721wMAcB4BmA+GvNrq8yPiNRFxXWZ+c+a2t0XEGZl5fES0iFgVEW8YyYYAAM4jAGM35NVWr46I3Ma7Pj376wAAPJrzCMD4lV5tFQAAgIVpyNNWAQBgDm0a9wJbGeUu8+k6oc8jjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHQpjwAAAHRla23uPljm9yLitm286+CIuGvOFhkf1zl5Fsq1us7R+bHW2uPn+GPCguY84jonzEK5zoiFc63z9jwyp+Vxu0tkrmitLRv3HqPmOifPQrlW1wksBAvl7wDXOVkWynVGLJxrnc/X6WmrAAAAdCmPAAAAdM2X8njBuBeYI65z8iyUa3WdwEKwUP4OcJ2TZaFcZ8TCudZ5e53z4v88AgAAML/Nl0ceAQAAmMfGWh4z85TM/HZm3pKZ545zl1HLzFWZeV1mfjMzV4x7n9mSmRdl5rrMvH6r2w7MzCsyc+XM9weMc8fZsJ3rPC8z18zcp9/MzJeMc8fZkJlPyswvZOaNmXlDZr5p5vaJuk8f4zon7j4F+hbKeWRSzyIRziOT9rnLeWT+3qdje9pqZu4eEf8cES+OiNUR8fWIOKO1duNYFhqxzFwVEctaaxP1tWky899FxH0R8RettafP3PY/I2J9a+2dM5+ED2itvXWce+6s7VzneRFxX2vtXePcbTZl5qERcWhr7drMXBIR34iIl0XEa2OC7tPHuM5XxoTdp8BjW0jnkUk9i0Q4j8SEfe5yHpm/55FxPvJ4QkTc0lr7TmvtwYj4SEScNsZ92AGttS9FxPpH3HxaRFw88/bFseUPwS5tO9c5cVprd7TWrp15+96IuCkiDosJu08f4zqBhcd5ZAI4j0wW55H5a5zl8bCIuH2rH6+Oef6LtZNaRHwuM7+RmWeNe5kRW9pau2Pm7TsjYuk4lxmxczLzWzNPI9mlnzrxSJl5REQ8KyKWxwTfp4+4zogJvk+BbVpI55GFdBaJmODPXdswsZ+7nEfm133qBXPmzkmttWdHxM9HxK/OPO1g4rUtz4ue1Jf0fV9EPCUijo+IOyLi/PGuM3syc9+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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Swap linear back with softmax\n", + "model.layers[layer_idx].activation = activations.softmax\n", + "model = utils.apply_modifications(model)\n", + "\n", + "for class_idx in np.arange(10): \n", + " indices = np.where(y_test[:, class_idx] == 1.)[0]\n", + " idx = indices[0]\n", + " \n", + " grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, \n", + " seed_input=x_test[idx], backprop_modifier='guided')\n", + "\n", + " f, ax = plt.subplots(1, 2)\n", + " ax[0].imshow(x_test[idx][..., 0])\n", + " ax[1].imshow(grads, cmap='jet')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", + "It does not work as well!\n", + "\n", + "The reason is that maximizing an output node can be done by minimizing other outputs. Softmax is weird that way. It is the only activation that depends on other node output(s) in the layer.\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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.3A Visualizing Filter Patterns.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.3A Visualizing Filter Patterns.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..a1dead18122b958fc7c9226578e3243bc2537b6e --- /dev/null +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.3A Visualizing Filter Patterns.ipynb @@ -0,0 +1,1020 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualizing Filter Patterns\n", + "Code influencecd by https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/5.4-visualizing-what-convnets-learn.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found 2000 images belonging to 2 classes.\n", + "Found 1000 images belonging to 2 classes.\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "conv2d_11 (Conv2D) (None, 148, 148, 32) 896 \n", + "_________________________________________________________________\n", + "activation_17 (Activation) (None, 148, 148, 32) 0 \n", + "_________________________________________________________________\n", + "max_pooling2d_11 (MaxPooling (None, 74, 74, 32) 0 \n", + "_________________________________________________________________\n", + "dropout_8 (Dropout) (None, 74, 74, 32) 0 \n", + "_________________________________________________________________\n", + "conv2d_12 (Conv2D) (None, 72, 72, 32) 9248 \n", + "_________________________________________________________________\n", + "activation_18 (Activation) (None, 72, 72, 32) 0 \n", + "_________________________________________________________________\n", + "max_pooling2d_12 (MaxPooling (None, 36, 36, 32) 0 \n", + "_________________________________________________________________\n", + "dropout_9 (Dropout) (None, 36, 36, 32) 0 \n", + "_________________________________________________________________\n", + "conv2d_13 (Conv2D) (None, 34, 34, 64) 18496 \n", + "_________________________________________________________________\n", + "activation_19 (Activation) (None, 34, 34, 64) 0 \n", + "_________________________________________________________________\n", + "max_pooling2d_13 (MaxPooling (None, 17, 17, 64) 0 \n", + "_________________________________________________________________\n", + "dropout_10 (Dropout) (None, 17, 17, 64) 0 \n", + "_________________________________________________________________\n", + "flatten_4 (Flatten) (None, 18496) 0 \n", + "_________________________________________________________________\n", + "dense_7 (Dense) (None, 64) 1183808 \n", + "_________________________________________________________________\n", + "activation_20 (Activation) (None, 64) 0 \n", + "_________________________________________________________________\n", + "dropout_11 (Dropout) (None, 64) 0 \n", + "_________________________________________________________________\n", + "dense_8 (Dense) (None, 1) 65 \n", + "_________________________________________________________________\n", + "activation_21 (Activation) (None, 1) 0 \n", + "=================================================================\n", + "Total params: 1,212,513\n", + "Trainable params: 1,212,513\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n", + "None\n", + "Found 2000 images belonging to 2 classes.\n" + ] + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "from keras.models import Sequential\n", + "from keras.layers import Activation, Dropout, Flatten, Dense\n", + "from keras.preprocessing.image import ImageDataGenerator\n", + "from keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\n", + "from keras import optimizers\n", + "import scipy\n", + "import pylab as pl\n", + "import matplotlib.cm as cm\n", + "%matplotlib inline\n", + "\n", + "input_shape = (150, 150, 3)\n", + "img_width = 150\n", + "img_height = 150\n", + "\n", + "nb_train_samples = 2000\n", + "nb_validation_samples = 1000\n", + "batch_size = 32\n", + "epochs = 10\n", + "\n", + "train_data_dir = './datasets/catsvsdogs/train'\n", + "validation_data_dir = './datasets/catsvsdogs/validation'\n", + "\n", + "# used to rescale the pixel values from [0, 255] to [0, 1] interval\n", + "datagen = ImageDataGenerator(rescale=1./255)\n", + "\n", + "# automagically retrieve images and their classes for train and validation sets\n", + "train_generator = datagen.flow_from_directory(\n", + " train_data_dir,\n", + " target_size=(img_width, img_height),\n", + " batch_size=16,\n", + " class_mode='binary')\n", + "\n", + "validation_generator = datagen.flow_from_directory(\n", + " validation_data_dir,\n", + " target_size=(img_width, img_height),\n", + " batch_size=32,\n", + " class_mode='binary')\n", + "\n", + "model = Sequential()\n", + "model.add(Conv2D(32, (3, 3), input_shape=input_shape))\n", + "model.add(Activation('relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.5))\n", + "model.add(Conv2D(32, (3, 3)))\n", + "model.add(Activation('relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.5))\n", + "model.add(Conv2D(64, (3, 3)))\n", + "model.add(Activation('relu'))\n", + "model.add(MaxPooling2D(pool_size=(2, 2)))\n", + "model.add(Dropout(0.5))\n", + "\n", + "model.add(Flatten())\n", + "model.add(Dense(64))\n", + "model.add(Activation('relu'))\n", + "model.add(Dropout(0.5))\n", + "model.add(Dense(1))\n", + "model.add(Activation('sigmoid'))\n", + "\n", + "print(model.summary())\n", + "\n", + "model.compile(loss='binary_crossentropy',\n", + " optimizer='rmsprop',\n", + " metrics=['accuracy'])\n", + "\n", + "train_datagen_augmented = ImageDataGenerator(\n", + " rescale=1./255, # normalize pixel values to [0,1]\n", + " shear_range=0.2, # randomly applies shearing transformation\n", + " zoom_range=0.2, # randomly applies shearing transformation\n", + " rotation_range = 30,\n", + " horizontal_flip=True) # randomly flip the images\n", + "\n", + "# same code as before\n", + "train_generator_augmented = train_datagen_augmented.flow_from_directory(\n", + " train_data_dir,\n", + " target_size=(img_width, img_height),\n", + " batch_size=batch_size,\n", + " class_mode='binary')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/10\n", + "62/62 [==============================] - 43s 687ms/step - loss: 0.7831 - acc: 0.4980 - val_loss: 0.6932 - val_acc: 0.4990\n", + "Epoch 2/10\n", + "62/62 [==============================] - 40s 641ms/step - loss: 0.6891 - acc: 0.5675 - val_loss: 0.6907 - val_acc: 0.5692\n", + "Epoch 3/10\n", + "62/62 [==============================] - 36s 587ms/step - loss: 0.6927 - acc: 0.5635 - val_loss: 0.6904 - val_acc: 0.5196\n", + "Epoch 4/10\n", + "62/62 [==============================] - 35s 571ms/step - loss: 0.6703 - acc: 0.5857 - val_loss: 0.6634 - val_acc: 0.6229\n", + "Epoch 5/10\n", + "62/62 [==============================] - 36s 575ms/step - loss: 0.6579 - acc: 0.6361 - val_loss: 0.6629 - val_acc: 0.5692\n", + "Epoch 6/10\n", + "62/62 [==============================] - 36s 581ms/step - loss: 0.6452 - acc: 0.6230 - val_loss: 0.6636 - val_acc: 0.5661\n", + "Epoch 7/10\n", + "62/62 [==============================] - 34s 550ms/step - loss: 0.6404 - acc: 0.6472 - val_loss: 0.6353 - val_acc: 0.6136\n", + "Epoch 8/10\n", + "62/62 [==============================] - 34s 543ms/step - loss: 0.6521 - acc: 0.6492 - val_loss: 0.6461 - val_acc: 0.5992\n", + "Epoch 9/10\n", + "62/62 [==============================] - 38s 609ms/step - loss: 0.6166 - acc: 0.6542 - val_loss: 0.6541 - val_acc: 0.5754\n", + "Epoch 10/10\n", + "62/62 [==============================] - 34s 549ms/step - loss: 0.6146 - acc: 0.6714 - val_loss: 0.6298 - val_acc: 0.5909\n" + ] + } + ], + "source": [ + "history = model.fit_generator(\n", + " train_generator,\n", + " steps_per_epoch = nb_train_samples // batch_size,\n", + " epochs = epochs,\n", + " validation_data = validation_generator,\n", + " validation_steps = nb_validation_samples // batch_size)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting our loss charts\n", + "import matplotlib.pyplot as plt\n", + "\n", + "history_dict = history.history\n", + "\n", + "loss_values = history_dict['loss']\n", + "val_loss_values = history_dict['val_loss']\n", + "epochs = range(1, len(loss_values) + 1)\n", + "\n", + "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Loss')\n", + "line2 = plt.plot(epochs, loss_values, label='Training Loss')\n", + "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", + "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", + "plt.xlabel('Epochs') \n", + "plt.ylabel('Loss')\n", + "plt.grid(True)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting our acuracy charts\n", + "import matplotlib.pyplot as plt\n", + "\n", + "history_dict = history.history\n", + "\n", + "loss_values = history_dict['acc']\n", + "val_loss_values = history_dict['val_acc']\n", + "epochs = range(1, len(loss_values) + 1)\n", + "\n", + "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Accuracy')\n", + "line2 = plt.plot(epochs, loss_values, label='Training Accuracy')\n", + "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", + "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", + "plt.xlabel('Epochs') \n", + "plt.ylabel('Loss')\n", + "plt.grid(True)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "model.save(\"/home/deeplearningcv/DeepLearningCV/Trained Models/cats_vs_dogs_dataugment_working.h5\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from keras.preprocessing import image\n", + "import matplotlib.pyplot as plt\n", + "\n", + "input_image_path = './datasets/catsvsdogs/validation/cats/cat074.jpg'\n", + "\n", + "# Show our input Image for Feature visualization\n", + "img1 = image.load_img(input_image_path)\n", + "plt.imshow(img1);\n", + "\n", + "img_size = (150, 150)\n", + "# load imamge into a 4D Tensor, convert it to a numpy array and expand to 4 dim\n", + "img1 = image.load_img(input_image_path, target_size = img_size)\n", + "image_tensor = image.img_to_array(img1)\n", + "#print(image_tensor.shape)\n", + "image_tensor = image_tensor/255\n", + "image_tensor = np.expand_dims(image_tensor, axis=0)\n", + "#print(img.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Creating a model from an input tensor and list of output tensors\n", + "\n", + "To extract feature maps we create a Keras model that takes batches of images as input and outputs the activations of all convolution and pooling layers. " + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "from keras import models\n", + "\n", + "# Extracts the top 8 layers\n", + "layer_outputs = [layer.output for layer in model.layers[:9]]\n", + "\n", + "# Creates a model that returns these outputs given the model input\n", + "activation_model = models.Model(inputs=model.input, outputs=layer_outputs)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run our image through our model's prediction function" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "activations = activation_model.predict(image_tensor)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(1, 148, 148, 32)\n" + ] + } + ], + "source": [ + "first_layer_activation = activations[0]\n", + "print(first_layer_activation.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's take a look at the first channel" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.matshow(first_layer_activation[0, :, :, 1], cmap='viridis')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Now let's look at the 7th Channel" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.matshow(first_layer_activation[0, :, :, 5], cmap='viridis')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's plot all 32" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/deeplearningcv/anaconda3/envs/cv/lib/python3.6/site-packages/matplotlib/pyplot.py:513: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n", + " max_open_warning, RuntimeWarning)\n" + ] + }, + { + "data": { + "image/png": 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+S2tepj7rSlotPmWtiOo7IyIB8iW/SjpeL6Lq17NoVRdMeLUxpqYxxbbfryqcfAHZmSE72clOLiSPhGZR8O5V/oDRNKoYOVHyFgG1ymew8c6oXrFRYJPvuXI6KpgJldNNdsegu9HkOKA5TdtjczYC5+ADJn2P7iQdH6cescC9jXdeQDROd+9k4qhaWnZ+N5gdz2IP2OyqZoeDcYgSIACfBAAru7+2l0INFJKd0lMdFTgnx8O2xz6DosFUph2pJmbh97HZgsoXLWckVfcji6MWbCMpwDBXOH2ZH5UJ4ijVBAPgthyGCrSqx6Tszkw6NgVTQyGnBuT7l/nmh/N36dDpM/aDzr1mGTG5nYAhzZ2lmGXcOPTXFvdch52rtCL7XhStY/SK90mRjnx8ZqZWVCcyMScAzhuQR2KxsPkeihCs7c4qBJYlmgUmTNQO9APLA2ZPBh2pv7W2uI2qADrhrOofWgL20o9i5+A36QfjzIta7YaIZpme6uS4R5ynt74/TP9uDr2qii3ge30hzwMDlbEpbbcTRr6OGg6jyCnxK1/DRjSKNGsG50kbGxNpGFl+UCUrNXRPjsR228QkG+u8ltIW+zIntdtMUhPlsn1Vv5ExVSKjyeCr0Gq7nIkgWSPcgrX8wBhmOvYSbQ5AK+aMCYFCn4P1TVT+Hgl/aiJZ9BBfFA26ccWWEigQQHs6wp+mhtHJEjwMuS0BbZdeybBoEdtGx0DymEhMK2uyhk67zsakg4OYmtbcFhN+Fw3ZyU528qDlkdAsBJRlIg7bXmwLvbWw6yLb8XtJWYY6gWw25TjVnaxZGWxFVK91s4aAuPw6SttOn+4wzNPn1eOE2GYVvwHcZpKvCXR3sxp7ls6d3xwln+L4XZ1gNboT1Rrszm+jPdZsqXc1qIlhTIP7RQ2q3AzjsAydjocLLJmK41TNButApZBU+9KGcm3NoFSzxjqfa1W4dqRabULyHIyW4waqgF+SN7OVIySmCFNlasrxXscnehKNg6LROO2Oa+aVhWnbCEWRRBmQPvuBRbOYv7JB8+pR+uLuMfDY1TQ277iCs2fm0p9+T9tSTM1mrekAYWKwEqRtoKDOXHmXALi+BsvZZxgmVM2T15NHYrEgpM7ZjrCrwUOV3SXJMKRoPdKXYjs/QCZnUFUbDhjzC8+eNPw4EPygan3xclNkDIs0XEfvAYa9vABdGmRiNbNREI5977E8SuZHs8oP+lMN9l5Oq4IbgZhV594RvAmf+dyP0BI4lkmC6gXSVVXHbJySMeNM+NGmqzf1i8XNvbPFmUlOlktk5OplEt9DeZnZcEwwzo0ygGs/xXlcIBXnAgMw/gXxNeQNpny+5z75/OL/CVSjccu8Ya/XtGYUNwCX8KpZcGxSWR0WLX2yES/C5Dj7uW6fpdg2gPjME7jxRw4AAMsnCZunjCOttH/tsPh8mm+TO2q6ba4A5Q33a6A7vnchIDJ9MtE9doAv4Vvjm7uo7MyQnexkJxeSR0KzEOfdluonjEqGICV61PH5eK+WYcFDwxwIxcEZ7Q6g3uAwheRjuFGjCO0SaL+Q/ugPWtx9TxquzdM9qEkX6iaj7P6+ifDZpT/4CJ6k38aszbx2rcHdo3SNvc8RDj+Tlv/ldYdhP+9Sd3QHpIgK+2/zOCoCoALB3pgh9QpU2mbQOs9z70aDIbBp1tFcf2DdbY12I1msW+0SlqpG8xW2tROBSRv4thshWmWlGW6lyxc1vdJCWdtjx4xJzZYypkCda1H6CADBQN6tZsECxdcom43STI6jtKu7O2L62dv5Rg4v/+nHAQAnzzLaZ08BAIvpBpeb9GNmwuk63WAYPFYHaaCWdzu0d53cq+BOYpdM2NKP7lS1BjtOlijJOpebNZ87F+4nj8ZiAVXxysSoPfVqPSQQTfpsEXWBWFTq2JJZRIyH26Rnx05VVDapzyOpd789A6JPo378TIPlk1mN7dReisHB5QUiRkLIeekcVWlzJU9lPoJn6bdnwxTT2yT3WV9J5y4fc+iO1UdQTCUaNbqALdYuFr4Cffhxi3/DciOcF0qz6FJuUfFoSH5DNC8uICHNsYQk2/JN+jwYM68gEyka82SLYqAym0xaP1tQmMnzKaFWi1AlBqI4SM43yAmoTA8x0Vr1oTQbpQgsCV227bGBWVz1efRMgqqc3DgDz9PLf/w1l3D0Nemm7uoGbZs3kuhw+zjdgCMh5MH0bUDbpXOGQ2Ac03W62w7R+KjOMzsT6Otek86ycgkKeRcN2clOdvKg5ZHRLADA5lNURLtb8Njyh81ytJpI+jL9055xlUq8Ochfk8kDMA5AioDL6vzBZ3uBcp89wxivpK3dmeuHwSEW1Tw4zVWJpOGCLJNFD84ddF9xipuZgfnybwOHL6QtYn3FYXU9nTO5a5xXJlLU9LqThu58OLYlOrEYlW0uTCWjrYFY+oP6/GLaSJvy8XJPia60mnbv1lyZGxZPcT9cjW2naBlQRio7HnbHvy/ju3WA85ZpYRyAwURYilY35AhFe2K0kM6YtIa5rD0D9j6bTAxa9fjitz4BADh9LoL30knhtMXJiXheQUPxIDM4R9Zip+AUG/VgD3RH6Y9+X029caoDlSDnpX8KQLPTkUs6/u+3aAgAQdKR/VvUW7WhmxWrPetRecq/JIU9MgVeAeZ0ZkKSDc9pCMpvItxm1HuVBxYJLLq3uS1Bn4gzkZeioq5bTGZpwQmBEA/T53ExweLV1JF+j9A/WdpC6I40SiKmVQVUqhc6i1KUhTewmnRmEUn90qiAvEBmHG0ugg21sSNlzSumTMWRQHBCQmxYtt0WuKxaFMwqYvpXJaoJqEgJgVP+Qx4bKJKRLGOUuY/lgdgOxcsiPAX6HNoWwBfpmI5z7Qd7YJJdE5c+cQYa00VO/sB1nHxVakB7bYVhk0FWK4LrMx9Kr7wjTAQqG89I4CYfbyPQZlN3QnB3y+ZA2Bxqv6Q9K6qiNoJ6dWaxn1LN6nUB2ZkhO9nJTi4kj4xmUfI/BNPeQjeYLQyGhdCWXdX3yqNpMy5jo1Dgca47is3c3CYuPfhculmYeaweSz8YDwKo7AAbnzyhRcpHpxEF8lEiB6JtMDAOXm+fjx+9d8T6ao6SfJ6x97nc3pk6Ydtl1IxW47x0o2paNgO14vs0kQaYFP/QkUZMTG5N+RtIz6Xc16bJ29obFhIv5EIrzSkZp2SIZU3JhiqT1gCoDOFNwt+oOi4ORjIahFHiKNakQ6JxkMlKNuUNttVw4RvdU8wKzDgKNcFdCIy6PWVc/7W7AAD36m28/OfeDQA4/grAX058A8OmARdzo2XEfKHYQbdsz0CZMwzQNDtEuwCa5XbtE4aT9AcNwLifHZZLNauj10tGV4+lQMVDrXFeRB6ZxQJUvb9V8lhln57jl5A/LYVZFV6155h/z0lUowhM7qRRH2cey8eKjjqC+2KQG3WxNRe3KnU0D6mYpA2D8o2cYwmzTg5XOFskj3h4dYb9l9L9j55tsHos28tLZyatYXoadIKX8K+0wUSQyo8d60tW2axGxXejqZnhCeEcf4B1KkjqdQtJFU8LQfkdiW3DpLkNbIfO+E8sb4XN29lWmS0rt5pcdZEhW2/GAsNs3koBx4E1kWx9FRjn9QSjCPi1RkMKMvfwhR7uKP1x9v534iStFfDvPJNnPC6nqEI/5715jMoRZM3BEhkBgDHPFTcQhoOyC3hZ1MEA1lv+rnILs0baDfgi8mWbIUT0DBH9MhH9HhH9LhH9QD5+hYh+kYg+mf+9/OXeYyc72cmjI29GsxgB/HVm/rdEtA/go0T0iwC+D8AvMfOPENGHAHwIwN+8yAUtRbo3XIMJImyiI7YGha16ZTzAVi2VHdngKcAQ8JXdj2c3dFc9e9zj5F3Qk4xZVJxPaLn2wNn+NCZfHGlzHdZpyMmzODvH0cNlE+fk3RFxUrZeNUNW1xzakzw2A2SZt2nQVe6GUd+tQzR0aor5XklnU40S/W0QMwcC4R4nVDlEtwE9zapWazVlmquIDdYm6nKOKcjOmDtb5Lo2l8TyaxZ+zNhAnoPNqqSgNVKIjfbhScBsw4IwLsp1tG3F3PBr1Ra7Y+Dq76UfdrdXePlbngIArJ4gxHdkqrPgEMZiJ7NcByMBef6QZ9UgegM8YVQp5H2fnaORwAfpQs2xEw03too5ip5kflSESL6eqm9Zbggzvwzg5fz5hIg+BuAppGrp35hP+0kAv4KLLBbSCTOxi72+svURUPkjLN5fJsaoHuDYQkA9YQLELp8/kMxr63GfHEW0t5bpt18zQZibN0L0MDORGNAZD/FP2HCX9G00ihwD/UaH3+XfhSsjlmPq+OEndWFcPsFocwhv/rK+BFVZQ7OgEUOJils9xyZdEW/ZrOblY9NXyeVgACaRqiJXRlpgLDhKruDPP8cu9hZ4x65GFoqfier5wWbiS2q+jXo0CiLzvTFDaKvtxecyAYbsAwgTBhkm7NLnssHMb0RMXjoGAKzeeYjTZ9Px4eqAwu49Hptc+GZrZS1tD+aFdQCEx4PExxFiKwNKbRTT1288xgwFCPsB5XWeHEcZpzAx99qq1VqZlReQBxINIaJnAbwfwEcAPJ4XEgB4BcDjD+IeO9nJTt5eedMOTiLaA/DPAPw1Zj6mauVnJqpckvZ3VRV1iXeblU6x/zbPweyqhny22ehxG+/fHDjNLnUQtc3miQBmRyIg7qWtbH2VwBPNopRd2EZPnPVgm74T9LjttzfqZ1EzI6mjlBhxmk2DucPilew1bx3GvdJBoMsmSfSmjJ4xxbb7V6fg51MMFsNClmGiC7ElDOdUV7dAL1sAueqrZDiq+g4yEQpXOy1tlfHtGiQA7qn0bjM9Jb/D1E4BtvEdet+SCj7OCWOONLSnQJuh9s44iwsFgF8BV55PqsXiM0e4/XUpzfz21xKGx1MIhhybKBiALsPcm6jREADnslQRxDxhoykjAjRhvb4xVfwyXXOchopuwFIeyPvSUuVjdaMxjS4gb2qxIKIWaaH4KWb+2Xz4VSJ6kplfJqInAdw477dVFfVrzzByRKIKgRmPtTPhwfMQg+VvIB0ruQ3JDDHfn6Mm29+6nhEnaXYOhwzKuRw8umRTpsbrw+7tbDcTwG2p+OUUmUgEl1XT2HvEwnZFEBTf8h0Mv0nHuyOgzwCc/oDgCqlvUHYsNxoWKqrHUpm7zYvFMGOpbbdcFS5YUM99qA7NQlBzP2i7hK2LDSiLzeJmL0RbFdrL4Yh7FqTULgihc2pDMbnMgkN1XkcB540LyJwYF8C4YDm/0BqWf6evMRYfv5Wuvdrg5J1psYjvWsGXIliBNMRuQumIpOH2QMmHAdQbzz1zUhfPMtgcqXrBi1kEMgsjJeQyAHhLx+e3xvvcbfz+8maiIQTgJwB8jJn/lvnq5wB8MH/+IIB//uXeYyc72cmjI29Gs/hjAL4XwG8T0W/kYz8E4EcA/AwRfT+AzwH4rotcrNqpUHY09VhXlcIL9HtjdlKuNYuyAyUwUHb2TFHF9uXeTlN9Y0dYX0lmSJhH8LoAB2DUQrO9edYl12RowjquiunRRMFZMJPE4Jt5QAxOjod8zjB1OMqcjIfPAwefSZfbXAbO3pGdna+qZ789ixKtSFGP9NmvTY2UYB2J2idbp8UFlnGyJLy0UXr6is/Uws8tzNg+T5v7cY4yVl2DWTUFcw3LJVo97y1nsqXWlxKE0FyPMDFV3whoc/r8sKfRp0Qskz7PX0032v/cBuvnUnrw3Xe3WL0jg6aIEbPzukS1pF1FiWPTWasdWVOVjCbiGNxpNE3MV8p1RABsrgX4tQ7msJ/+bc4UmDYSVXDv+5mpF5E3Ew35/3B/X+o3v+HrOST1ykxkYWgyNRHs5KEAuMKpQPqg05fm2iUSaZOYtgaqMGVFbxipulCriFbdtvcRDjPbIfPZ3Mu3auyXCIj3UeZM147wuYDr6XKCIZ8z7E1w+EL67fqqx+qJ4hF3aJb5ekGBWykpKjcxmBfe5pKYFy4lY+lYSjc8pBo8YBK26PzJJnVPR30eCT1p/Aim5J6YCsZsSjapttGmq1uTxMp5pQSrGjBeQWvjXNsWpoxQFpGOEafpwm7wwsGx92J689rXznD7jyfT4877AmiR08yMBpSWAAAgAElEQVRHJyZl0wQJl3LQ4yBoLs1AwklRzaVtP0aZKo36Qahh0CSbxo6BslgMDiH7Nfxaw+DsjakCVCA1Z+rYXkR2uSE72clOLiSPBNybXcLI+42qsdET4qI4mDT1OnlwVdWuQFYGe7B9faBWV+vCy3rOOHUY9sw1s3rJ20twwVNsq51FWuNpLhT7vcOYh5x7h6HsJI7FVAlTh8k06c4cdWc6fTaAsn7dngHDme6SxbHVLmunZtGorAlli/uyV++4Ledouxoq1iw9vo2jkHtKtMJwPxLUHGDxP6YIhUQ0uHLQ2czUCmxmNRFTXd1mrNp2FgKe2Na7bZH5y5R5LYFxP6I9Sl92dwmHL6RGN2fp35tffxXHGcrt9gbREse+kZ2/7zu4HNma7W+wupUaQAaIxS2rB5lgvMnQOROoyhMR0p8tiLYv/K5TQshRNNylejzKcw16/ap05AXlkVgsrP1p1U8hmzIqryVhtZ7ymuNB7fU40RRjbvR8S2LrN8D8VvpxaAn9QXGKMFjijFt+ivxyu06dADGQMVtMmMrp7CXj1aaiQhJExxtGJ2xJ5CB5JXw44Oyp9Mf+C4T5y3lyXkpRGwAIJu5k6QEtAxl7A4oKukCwSUJzvUZyPG8hKMO9iyObVVJ4FFqqwEzniaV5qxioWc2K+yV6pQWQ5fwC3IpeE8aYlPouTGAQvnq92a2IMdcFYccSOp2/ylIIaH095WIcvQcYr6eF49LBCiH3+7RvEJcZmTs6hJwAtmFUoXrxXRmmNY6khF6OFbjH8j/AQZIOAZ1DaBRNyI0pgxjNomrMZ4rqs3NlHO7nSDhHdmbITnaykwvJI6FZEENwAxYcJSnTrGnp5XwgbSzekNta7UPrQuD87Dob3TCajU1pr5yUTVS10KvNw0Hp+nl09W+K4pA1C46EOKj+xxl6jjYKrydvPGLOH3HTEb5gMcgjZKaus7HF9GbRAgDkfIYwNVW6RlXlt6MI0ryhpuKX8oUGQu4H1l1fA0tVpTKbfs6SabrldCxp7o2JmLDu9sEQyW4TzlZcopZs13B2WiJaazbZe5FJXW9z9OvknU7KOjRHHgefy5GPF1a4/d40sKfPpGsP1wc0szSoq02rZDYGbMVNBJ2m43HjFE9hHOG8avQ4IKAvRBINgg3oiAyREvmIWO43OOWjPfUIi+z07k2JANIxsPOAxmzGvwHN4pFYLJBf+oriDDrxLOovGq4Dd5/05UoNM6HWii3JEK4GpzUswwRq+22LHdisLkZAVzgLmGESWzRSMSu4tklL99qIJi8W0bOYIdtSFpThkoPLiUXT1/RF7A+0kd6YZZZDArALI+rokh1XE73QvBINVbNL6e6pL6zHqgJCel1Zr7neBMRP4dWvYUF1duFIi0I+xyxobjB+k2AY0bMvDLg3R6Kcv77KwlTVHTvMX+nzNQNOn07XX78zHVtkbgog5fXETWmMhnKaY31paTGmhQFIG4dhV5OH77jiRmH7Rpb54aOYoxVyMZLkOtGo78U4BabnmH4pRyhfpmyoOzNkJzvZyYOWR0OzACqyVGBLO0CtOehB/Rg9CfFK6KAsTqyrtS375wac6/2vgSvGIx3IwG+jqpGDU+dnG0GllCHn7wCBhLPXSE7KA8jmyeAwunRT57iGgRdfaxsQ8x9uf8Amay3dUYv5q+nzOCdsLuV+kBb8taUavXFe2jG1ld5tDkYidi2/tRXPNBvVAubUUcmCa7DgL+Iadi0mgzEVfY8aC2IgzZKTMupzo6j5Em5kqRMTZkr0U7VhVOh8e0JSkuHwMwNOn8p5Qe+bYPN4sWHSP/2mUaYz89ypdwKgGq/3CvdemteL9NlTMLlAxqRNGko+3zjLI7zSHVhVoI0I2QRtj7xoSOtrLH2yFA02uxrImtx9lOjz5NFYLKxdKjaxmRi85TU3E0/qSsaa0diGT7fp0YCkkhUQS3Omqe5x3yFa5Ny5CT+stqVDFSkpD5VgogXiETeTwTMoh9Jcq09x3HhdoBzkeNuNVdSh1BMKkxZ7L+W2N1p3NUwIvCzHDWCNTbTAvEBW3bf0eW7U4kXEXCEitUxfPjcgsZygXoxtDohF14JM+repVbtNtmzpAc9DogYTFvU9CYBvWGj/YsfyLJsTNYviFDj8dOrU5Bd+Fev//OsBAMsnAWTQVTERF/MN7t5IMEl/7BEnGolw2ZfRTUesj5PTiwYCz5Uar/iruIXq9CPpZ4KG4j0bugMGC8IXdW6IEP/qXA0zzcWpWOYCTE4R7qUoeB3ZmSE72clOLiSPhmaBbCIYTYGpNktEtiIbsusY52gqZpx31XaLNStL7FiyCVO1dPUei2rcO1nFKyDN6MBlh/UsxKrMEE81EZQBqewQTZRdk5eNVC0LkUQjcW2EyzvWuGok58DPI5bLtGOFVQOfd7LlV23ATTo+f5nRnqQbrB5PKe5Aqj9iSWmEQYtM0eOgChI7dTZK5fE8luO0nK/HSx6CrQzG3jg7B9VCotdrWrg5oOYOG4IcNgEmN6DSOoqZ6gZgzF8YnpgqeuM2JO10g5ZT9LdYtdk/+X4cvSenfF/p0WUmswLLPzmdCdQ6Xgvw2ZQgYox90hrWd6YykNxF+RytSVIx9AAoWrUztAVlgAAxL9K9as2sAL3CVEsKpMBL1ixG1dCrws9UmyQXkUdmsUiYfojXt0o/d6jx7UK3p6aHLWtoJ6El5q3Ut6Bp3n4N+D77CRpvFgWjsht/gzNp6bGL2p6gT5JtUlD5t40K0JqPagJsPDirqH5/wGye9P4lE8IqHR9Hj0U+frzxsohcu36CW/nys1c7zG6mix5/BbC5lo53J0Z9NyxiIMZYUvlR+3MkHGo4Q6oCQbbUpGX5Lo/GzHln/E9kwqDRa6jQEvNSYAwL9TmJb2QrvbraSgyXgxwKBqlIugCGDpjfSPe99IkzAV3deP8M6ydKYVeW5L5QQo9rj3aeLrKYbzDkpJnl6QTIRYP8hhBmpSMEGkykI9MdkLfcFqT+L2/MArPQWbEkvvZtb48InEttxkltXlSQAmPCu/GNLRg7M2QnO9nJheTR0CyyauxBlYdedpSt1a9gACpSl5EBwzsYLRDJqMb2nkqKw+j3M+HNAuq1Ns4kYlXzYhd1mfUm7k3Qpdo6M8u/faOHuiiwX2e0jPGkxclp2qWoi6DsbN2sWwwuNdhPgqS3r/oWk0VSkY7f02H+xdSW6U0t6MtOoxtuiFXZg0oDE8cnVQxTRayzzFIFWAdaVeWNVMvSXA9rEmnOD3t1dvqNOugsI1ZV34WMxtNANJHY1qasLfdQnKDdEWN2qxTZYNx8XxrX9Xs24sy0UkwD1wXE3MGTsynCUfLsupWTbNU4hZgG8AwejaqVtQkeGRU3Z0kdaKIC/MJWHr/F51RpwbkbnYlKLUbEbJq2G1ZTkiFFugHkkhn3dPe+8kgsFkUlilBOhXIcwH09ttGT4OTtRA6tMljfo7py/TeAysMfDUKQCSbpiQ3qbuthlT+37U0LpNnuRu/AIb/8Bz2anJS0iSRAHvdai7AXpC0x28jNJKBp8kLjImLRtZ9e4cylFeLgU1rbZH1NOQ26E6d8IOuaCLm8lINJ4fYbNSEqDguThCaV2EctPFQNs8lBSIuWmh5yDpEgGYnZ+DWUJs+q0WxKEAbDTB4bNWVjB4yzHPEyRXgWrwa0J+mPs3fOsf7K5MA4vLTEcp0uSmTo61AiESTmHw9Oks6YgHioKF0xYwNJImJl0jpWusZORyqODufS7QF63PJfeBYU8Dh3iPmafhJqcFcRQhXufqO1TndmyE52spMLySOhWbDLu4MtPrwN3z6nADLbMn4Dw5dchQ2U/h/QHA2rJkM5PkFAs847Q0N1lbFz0sgrsRqEzTp1QFUkGSmGXjSh6CAw3/G4K/AENAc9JvuputXyZAKc5UfUMtrsnR9OJhiP0w54+R1HGlUZHXA9mSThxanspP2BAqhCh4oP00YmirBxKLvBeNAbHT9b4JjMbm+xFWSyQkUni/YPY6p4kx/CrvLaO2uGmOdXwFe2rGC5bmlDIT+mM/1hmDjc+aqkgZ09Q5jME3vQatNqnQ8A01km4c3VwFarDsjjToEwXDKq0XlcrARlu5qoyVVpB4EEBk69Yi5sBKTa/Q32Bi3rfYklAuKIldxngir7V3JxWqqe50XkkVgsAFWDhZWuNSbEludbchgMQW1oNRoSpoa7gHCuS4FJPeVVshlD04qtnNcAID3saI6X8zwrwMYknQmZrI8SMrPhsnHZYCzpzg0D2YPumogx54O0ez2GVerg2Woipe1ibAUAtr7GmN1In7u7ynUwzo2vYaloSovUbDYKvuKtBdzSshWpkKAmMiLjG+sQbFmsUrJbHpuoKNJxSrX5WMKixn/hbAVwghRg4gPCmPlIaEiAuzQGwKXPpE61pyNu/qG0WIxPrTEtC3h0CJlG0U8DXGEsO07037xs9NE7rStSmahskL6OUfFWWHBgYb6KJjbMJNAAKr/P99K4NjTUGrcWFLvHFbOsI8QMqvODLtQupDHfRUN2spOdPHB5NDQLUrVWgDYjVaSx55HxAqrq2tTyaNQrq61YJx57CDQ6GsYtCiQ7RmqX2RmKRFLMxVp3Bm5ZyxrGWmPIjTWOP42v+0mAzw7LcfCIeXfjlQey04qZJNfg8OlT0EFSnV+7syf3adqA4LID7j1nON5PLE3TG04K+o4z7Uswzlxbkb5daStHU+LOjUj1LJCcmhVhbh5fG91QkBXU8Umaaep7U4mdDSbCaDnl90B6TlRIcfocuUKK+hSAHTdAfyk1rLvjBKQ2ucvw2dTs91sMl1NHZoseIUcext7Ls5zOetEo/EtpYnHLiqEA4FcZ19ACyLBu7p0+Y5MPgrCFuSg5RH5L+yha7ZaWir5oImrqsiPJL4oTjdYxkyE+4gpnUaKEXw4oa6dZ7GQnO7mQPIiKZB7ArwH4IjN/GxE9B+CnAVwF8FEA38vM/Ze6BnLo1HINbvM9OsOZIEkysQ7blYI8xCzwXzZkK7bICntdudkD4yTvyI0ut4nK/d6YtqUqqzAXnfWyoeJQBAB4aALaqM6UODiBibs2opkXH4RSroXeyfVvvXyIS48l9pa2G9Gvk4HqPIuG0rYB3TPpnFXYx+ROdqIFVEWXmqxFuMCVL6EkY3FjzjFw6+IgS+fr95Jx6RMnKFBrJ8SQLY2s3wEGNs5cPTOhS2w1tE1RE9xiV4d6m6xNTG+mMCkAzG71eOmPJk1h+a4R7WH68dA3KXkPAALh2hOJ///u8Rw4Thcdr6Tn4WYjkM+lhhH30nFee9UgotFMbRYp6dyy2kHyNVSqsvmMez7beVvFpwmC72jaoPPchKRtaYKK/OmC8iDMkB8A8DEAuUQrfhTA32bmnyaivwfg+wH83S95BU7q0jYrknzt6kllMxgFAx9rzICFHVeEvbC/zX9YZx3V8X/TxNoRVTTHQDWZrwVlWf7FfKwyawQ8pM5QZs1FABRH0kwCoskzODlLDrrD/aWc329awV/MugGzNjn0vnBphrEsKAMJWGt9lTC5kz53J+qtD62W9wNpHsX2RC5mX1lkmrXiZGz6Ofs6M7WYGM6MdU2yq5gEsFZ69zYyY5ytFCElCOMWk1YxczaXtc7H4rEzGct+0wolwGR/QJ+jIeHWBJyBVotradXrey9gqVQDJvd/VLMU3tZcId18CECOsrFjJcIx5gkFMz8Auf99sRAWrBUh823oG3QbMwbmOUiEqpRHfKscnET0NID/GMDfz38TgG8C8OF8yk8C+HNv5h472clOHg15s5rF3wHwNwDkWki4CuAuMxfYwIsAnnrdq2SNwmoQVQaq3w636U+LChz9FtW7cbqdG/Y0Gke0YVrYHVFVPuoCXMnw61mhu/I/ABtdey0PhsTMI3QHmmgGKtn2MSp275h3C98GLHIS0zBpsD5NW+hZM8FilraR2aSXqNpm9FKsaO/yEqecOfFdK87OyuHlWRGRHVWJZDI2gzohbUJav593tEVdAaw4ICvkLKuzMzigPc1ag6UBdOqstgmFFDQ7mKJWDAsbdejFiTGhHOP42ey8nDvgIKlIMRLGgsSMwGI/HZ80Aa/dznHXw0GmzWqZBoZHBy7P+KxBLObUSMqnylCsRBPFNKgKJm+8hufHLU9jUX8bDXMiKBoXwWgcrWo3dh7GQFKlrllDsoyJa4i8sxwiF5Ave7Egom8DcIOZP0pE3/hl/L6qol5i6GUhiO19TI+oE9aez6T5D/ezxxI4SA2+cp0w1dwCNtXEbW6BBVSRZ9GbuaHKzNDit2bBKIvexDBsWa+2B3zh4Oy9lEyk2SjmSdsG7E/TorByUdXoVYsxq86H+0tZIMaxQ3YZYNYN4MwfeRYJfDvDyTcKme73CONcVXz7HAQqfqy+AQrqYxgO8gT0hignaG6KLeXgBkiae+KEzCbMqjZFCssWHBBLOvlGSzXGVvEifsNK+DzoCzHOSch4xzljkhfbSTuCc0mw2XSN+ST9+GQ1Fdj9dNbLuG4ypoVNFIx6AhVAWWtwFp6FAMhmkbItZ+mMqeJMZARmgWjMNYNGOmA3PybA37twULX41BBv9dlhuyjf68qbrXX67UT0rQCmSD6LHwNwiYiarF08DeCL5/34nirqO9nJTh5peTO1Tn8QwA8CQNYs/htm/h4i+qcAvhMpIvJBXLCKussOl+KAada6Q9iMRLAuphQ4edqBSpuoqOShml3liTdaCQWzI0ZTlKiL8mPeKMchbxzIktwUp9QkCr0aCFIwRoors9E8ugg/zV52Yon1cyR1hI1OcA3Lfob1KqkBvgnwhmI+ZPzF7dUB2pyBOm4awV+cOlb+hIEwHpRamV7NBgLGkrTWsDjdurvOIBXV8TgsdJcqDNPW5IsNw41q7hQKQzco9V/cCxgOcpW1E63V2Z7SfU3Egm3wG9VcrFm6ucwoacouAEPGXGAxImRV/vRsKrvv6Bxu3Eq++bhu0O6l8Ts9mtUecQB0pg2J01hpChVX66BaUQXbrvzgxn44D6oeIZyyFU+nN85Ri+mIEDOHWy2y5aYsF7UoXavtXVQeBijrbwL4aSL67wH8OoCfeN1fcLKBQ0tiJrSbKHZz6DRr0nJzRq8ThowvI3l9z79PRU5TFhdn7LpANUjG2I2wqqCBhFNZCxiaqWhDvzOdzVzCdL1DbNJDn+2v5XdD64V0JQYSMyQcd4LuJccYs+3sGk5EOkiTpcvmzLhuQYWdaU8JMSmohz5c67XsADHaxSCfx1wTY+w7WUj7Tl/ccRHFThemsJF0IndR/C2p7EFeUAan2aVtRMzVwMaREfaKaeeUGsCmAHSQfAzqCXE/f147+LN8nYOg5t+JS34DAHuHK2xyRCgMTvxPq9MJOLNcuemIYZnpAVZe+DMhJhSBJ7oxtPNcNsAxNq/lcAxDM0qDLvxgbJUCyEJQf4T1dzDU39HGesOxUTyZ6GRKbepClt4d1p+W67s8b98Kn4UVZv4VAL+SP38GwB9+ENfdyU528ujIIwP3tpmQADDMt6K62RHXrFj5Fbx635lQ4S/Oo/mHcTwnEFiONAwmSBKgAWXL2j0N6s22u4eVwam6b5KLiubhuiCmBwAxEzabBpf2kwNybBz6MZOxrDqEAgIKBGQatxAIlDWL6ADs50LKgbA8TqoWb5xuGgQl2lkM6HLiWdMErNeacTfLWZbHN/bEzAr7AfF6+m0zGQXTwWcdkCn/ZNcz2bquDeACPScSJnNuNMIEYjHLmhVhvJx+T8+s0U0UmLa6nXZtGpzyTB72aLMzcu/xDY5PUrSnNXVlR0zl82bTyDWZCeNZ7vdIcGX8IqG9kbWPqRLXtK9lLWvOQo3nJwEhUyGOTKBFUWv1uSJ4LQdB1pSAEjpt8a2I9towXO4fucTTCmTNMGty1EW9zug0W7pRh68fDI2iqQ2csE3m7wvIo7FYIL23zjTe5gZYLsUwUZOkInY1dPeWDOV+4CsX9DrNGdAu05duaPQ8ryoiG7MDjmv1zSwiogKPBjlX8DeDUwKb6SCe93HwOD7TiV1YsJghiEH2jPZ2XizmBCe5AsAwNQQr5QWeRJ08pqzidH+DrkkT2zsG5duu1i3Wm8wjeewlvBpmBGSk4t58g9WmsAoRmuMqNRTjAeTFaycjNpkSH70Dl1nt9KXhSGhMGNflF+765RMs8302sdHxHY0pCMjLuhkaQa5OJgOGIU2eYRrkZQ2DR583hzA6vWYXETN/5uylRshy4iRK4WpJ1x+VL9r5gMBmsZSX3y6GMOULt8KjQihkQ6dkNhidrGxoGWrUJqt5ORJ4kcdg0YN9fk4bc76eLuUq30iK+i43ZCc72cmF5JHRLAotnlKokcG3a3w9TEx82+QNUFC/pHcmm5FwX6aycn03MNymODih3v+WFcrdO1DJAHWQLMDKWdVFBRD5qB7vIgbKO24auGxDMRP6AvxhaP5IcOI8bKYDhq4kRrDuCGeNlhGYMjg7O4uKDgCz6SDckePoJTP1zq0F6CQX951EUHGUXhqBOwoPH/LOe4y57IKuDRiv191rZqM4TIdety3aM0zmvarmFJQJO+wBl3ImbT8qnB0vTxWa0rFoenHdiCm2XDViNvXtRMasnQ/C9eF9TBGOLOUc8jEVMAbQH0aEq9muXXvZSvvHlPG7yHDaoeLRLOaiMZVSh/O/kXQbj6i3aaN9lGfpW3UQx9HJ3OGG9bMpyGy5OefTHqFk/G7hKYo2XcCNbyTz9JFZLLZtJxcYsSoSkf8x6eouGCCWvQTroFTMWvYBORPyJFR1MOQ8z5X/ggsrUaOqNA1eTAKcaRgmTlhYksoi45uIyTRNxpQkls71PmJVXqCzVglQHCRyMTplyopMQrw6ApjtJV2z8RGTNk3saTNiyAxae12PW6cJTrlcT9C1pby64YVsI7rcttB4KUGAjYYC+dUJ4jwvTHsDJvvpvgVBevvWviGlJSmZQPNRSGUw6HFESHSBPeM0LxBj7+FfSSZMsyIxDbjRaU9dqJCxmv7tgGw+DAsnbFcxOi1SjMR7CgDhtJXNIexFUGEmi4DLiwgtc6RlLyR2qjx2ItsJhMaqkA2CKTFhATVqk5WKAY0pG2n4PpMZKUgsk4yo5pQbgJCvOWlHLGWB1WiIG+r3whkynIvIzgzZyU52ciF5ZDSLVDAXKCoE8VbeR6OOsGKqsDc1TXlLc8gSvTm+ZRUUZ6TrGX6Zdttx1mqkI5tGACpgDDURlDEG0QHROT2/OJBaXbKLRjKOpAV8vRKChtGJB53sbycRKLv6yiPmnfVwf4kuO/QOug32u4SHXocWZ0MyVe4uZxizZnH7eCHcknHjcbxO+Q/7108xeTJdZ7lpBRiWGpj/GQnhUhobuhzgC0YCEDzI7ZdSlWG38kKJj1lAzDt/Y4hc/OEg6fi89mpmdQE+92841dTRzdUg49FeWks/9vbWmHVJEyJibIpTM3ic3spJKY5xdjKVfos+3rJk59Ie4DIzNxGLOejaKDt+Ma38JGjFOa+5HjyquVgVQCYT9QhQPk5vnZpQPIWpWLdNnKO2hInQdUEwIn5D4Gw6nl6aoCmW00rH/t7qb/TW4yweiDDqKmT2RcVWKNRaJwa8Ux5MNIVnLSNWlWEdqfJyu96QH5YowuBUBW/UJOGNB7oSvgpVWnFRO10TpRBueeExOoTCh7hQdqxh1Qo6kAZKkwmAOxjQ7qdGDoPXwmY+4uos2fcH7RrLMU3w480Ut07Si7JedmLTUhvhCivXLMhAXF0ssWiTOv6Jk8cEkASnSV2uh4Q9q+cBCFFwAQPFSRT1/vLBErfvpraEwUmI1M31/hEpHAskP80m39+deLm/XznEvGkMNJEXa9M1aHyQ8WgkgkRYXC1ZMcDZ3eSnaG+0GBclOhVlUWimAy7vZ8LevpUFkJlSwWqkYsdANh3zdX0T0OecEQwOHHSMitnp2mjML1eNn7x5nuFyScSmDRp2JRbEKQ36UrMpkpwWF+NrKyYJaVKgX6NC6UbryzBulIvIzgzZyU52ciF5ZDSLbXZvm9ZM92gZebenLU0E5nwLF7YVxrLElqUYzfJJQrtMoB72UCKakVFyvtPqbqIkZXX3Uc63n53T3ZxmBhtQ+B4HL5/9JIC7ApnW9Xs663F9/xQA0Aev2IOhwauniRXgi+FQzI2z4ymQq5mxYZ+moRHtqnt8KdmJrx7tqzruDBv5kVYXHg4YlNXbOIuqOc1HATmtJyZsleVs3UlffKcmCUdn1HdC8CV8pM/G94apfT9IP/xxI07NDUPAZTE63L2dTQ/LQjUoDDzMWXAnNBA4h8JCE3HjRjajOmX0JmItsVByTXxMWhJS0Wqbx0EFD7NQ0F1YG1AWdOenkUQT4ZZFS/U+YsyAohiNNrYhKWlgIzI8qINzOGDEw6RCdE0QeAV7SBYsUz3ObsDv02gI7o1ISKTJcCo4GNODIZEDy4pUJcicY8qUaxb0XLzMWF0zk7aYFV005o/mK1gqdzSoRrxMNu8Z1GjYDgCm7YgxLxDrvtW8DBclp8MyZe1NNzjM/ogIkvDn2aZLZBBIk1p8DUxwGeQUOwjvweRWK+MQHyM8efkIAHDzZE/a3XWj+ANoTYglma5l+JOsmnuSxTN6D59zI2aX1rnthHUGYq3OWkmqI2LEXMYgAqBlTh47dQiTfHxPQ700QGqFBKdVt2jp0JxmP8/Q4rRNJsb+4WorkSu1tzlxskiyY4luNGeE/sn0Ys3mPfqcB9N2o6SlEzHG0oZsTjaA5JSgCYglKXBo1O/QRV3wN5qER1H9DokRK3fW1OZsmoA+A+PCykvSnBvMYtFG+Oz74AjE/GLETlPU+9FriLRX3x8TKfuf9eVdUHZmyE52spMLySOjWRAnEtjzPLeW1QpQDcEFlh2IIhBNgNsiaCs2mwI19oCtSVnYlfwaGAr5TBcVst1FULEMTZ8AACAASURBVMENRJLUcXIa9w4bLw6q4BmxxPVLanSndlY7HbG/l/NBghetofVRyFhCdPjCcVKRmQlnq7Rr96cdKKvUly6dYS/jHGIkbEqRnDMnWZybKxHTWxl4dGeKG8WxOnjEjIsPdzu0Gb7tV4RQKpjNNTrDe+qcRO/QZ0+8VPFiaBq3A/y+qVBsn0H+OBwEed7u1CNmuHJ/3ZCgNgpUGg8owc+RVfms+q9WnWbMAgivJo0jNlAS55EwXs3O4qsBTaPmRjGnzm4sdPdfjFqcuKDmI8EVDTCSmHxwfC60Hi1XeIyCUUETlVTJMdri5IUyo6F3mmrgNZJiozQcnFYzGxyKxz4yST5SmELAgds5U49CivoblxwmDZ3mdLhBO1OYv8u56hkmeeGjryuwn8uUFSF+Bzcq+WtsWViiLPFp8jZreEzsPcOCxYHEzHDTUUKjYXBS06GEWdmQ+A6nHW6v0/AvDtd4/CAxcYfoBKy1ig7Lda5Zwaqx2rDdyekMlw9TucN+2YnaG1uGv5V8HGE/YP14joacOSy7nJjlGE0GYvHGCSt27JSjwvWKsmznvRD/chc1GvJqaqNfkUQc/GNLMa3Wqw5t4e7wEZtMlUWTIElok1sOY36xw4Qrs6REddyeCbtCfUtNGzDNYdSz1UTCt81aAXPkIOjW61eOEXLbl5suLRIAaOPkpeRVgzabV4sM7Do5nSHkZ4aNk6hZszfIMwujQyznjLpQcMPApKBGjdnqWVjPVqsOfJqLZZ952ajihOEKMrcbMeYwMQcIipWnIZljADabFiWSy175Q5INWBqUzf434LPYmSE72clOLiSPhmYBpJVusGrD1neG5t/CveWULSKPKqoSVA0r4ga9h1uRELywA5qjkt05qlnURPDEtKk4sVaNUC5OF71oFuNGPeFiNs1GLC6n3SoEh+VrKQKzWbcYFumeJ+sJjk9055edrHfwJZWaAco70BgIt25dAZDYpkRlXrBU46LgMR6mrSZcCqo5taqOD7OI9WM6eH5ZoghRQWKsmpz3jJDNEGQtJCw0v2RvvpHdO5w2oNz2sisCgLvVIWTWrtXTZqwN0RAZDEvsvWBW/N4omtY4OpyO6eHE4CU7tz0lrK+l/sUDrfnxymevKiZhQ2iz9jFcCuiurHP71ykigeSMBoDJtMfYpGsMTSPmw2QyKPjrtBVnJ9ootAI0ELAseTgB01y3pGmCkPIMp52MOwVgzCxfNB8lQzmMXrEbwZSK2B+kvf3RBIv+PiqDdfi734+gLMoJYtHYVDCfTX5HCq/WURMgHzPFYysQ13ZYFZkHIkt7qrwY43U2qpoJw5GCZzg4cEl42zhwrrbTt1FCkb6LqTAQIKnO0Xvxtu/NNth/Ok2YEB1OsrlxdFeL28R5kHv6eS++AXfUpuJGAGjl0ZyVaEXKpQCSKbF+KiMcR6f5C4MmJTVdkPZiEoDC6HXaolnm60wIlK/JByQ1NsJJKz6ckhrdGK6O5brDpvBQbBzC1Nj6JZQ9kERM5osNznKilwUzuS6o9Tc4cH75usmAPkdYhqOJLoCLEa1Je5dNI5D4UyavOTGzhn1GmKvJM+TISN81WC3VBASAODhMM+3eYn+NofBZjF7yONzKqW/CwxQ3JsltaeYjDhfJZOh8wEuZLpE2Tgo3WbNlttjoJjT4KmWfJe8oSFSnudsoZaRlwjcUEOx2uSE72clOHpI8GpoFIDkf3jhmLF+g1SwElNWgKgtQXc9ozlbVkuhGa1Zd1hT4cRFNcWP14rtGSwOOQZ1b7FkJVgq/JpJXu7uUNAdbuLhgKE5XE3FsEeUdIzeY9xRFIzH7Rn877o/wdzM+oWUM2cRoTj36zDbVnBGal5KG0l+KAlShQTk4+7sTxP2s/Zw04rSN04gh50vw5UF21vmsx+mdXH/EM/zV1D8y7FQWL9Jk6Pe4bODzPWfzNVZ5J417+mDWqw7uVua/jAQcGkaxkupuqn2tbs3FgeyWHt1RBoCtGsHk9IesVcvWXubE5rrmm6CJmOcyCd5HnNxM2JPl7QMg9+/61eR83gyNAOCIWBzbm3WHJmsBeCLAl4zgTSOaAhYjJjON2Ny6sy/jVMh3mqVDyM5ZniieIkYn84MtRywIVJi7fEy0AEAmkS5nJLYsIJVuELDbGzRBgEdosSi5ILbKuXxl+lWZIEQVyrMkmMVmKzJyzqDQCKm8nUhT08f22EkJvJEgNjg5RfT5Lph0eBL2pHROXsh6B5eRm4c592AIDm2eYGebDpscCo2jE3saXdQUZLAUtXGf25Pq4C4A7ZEiE0sKNyLgBzVD2iPTp5IK7iBmBcghZNV88YpDk8CiWF932FzJodkrp5Kktdk0cEd5ylzf4CD3q/Sp8wGv5JdgOO3gJLkKEsVYLScWhyThZb/XY5wXhKWTWqSz6YCTuxldG9SEmb3UyMSPLaM90Wtu9vM86BhxXxcdn02evcVackkWXY93LI7y8BF+twDfuik4U++9OlzKw8WyeaQ6Mvn+I8GVkoxOn59rY0oYRALaiX9o8LLoxcGrOedZzAo3H+W3gC6YHJzygTBhtlAqLL6b2d+N6WFrwLjBRgCT6f9GgFk7M2QnO9nJheRNaRZEdAmpzum/j6Qb/EUAzwP4JwCeBfBZAN/FzHe+5IWyVlBKGAKoKj7bMmuW7IYiK2Gv03NguUJQfy7aBI2QkgJugCybfm0ARIAAc6yJ4fcGgXWPm0ZNJM9CbtM7FrVw1aYdam+6kfyO9apT779XohxsHFDIYboo5s7mqV4cW35/wN5XpV390myFx2dpW315eYAv3Lyc2js6DI9l08Or55gjCTuWXymX57DHUqclmFyWdd+KudR1AeNTCdPRNFH4OO9mbz5ZABw0ktHOBww5Q9M3QZyIPDiBfo+bqThh6WAjBMZn6w68tIVD0jU3V6LwhLIHNpeyw/JKBGW8Bk8YB1dTe991+Q7+vYNXAADX2hMc+nT9KfX4fH8t9ZudgOP6Kw1urRL+4miVIh1nx1PVHIMTQl3XRtEemUnGhV0U0zFGwvKkYOhJcDK09tKnMI3w2QSdTHtsMvR77M2eHk10r2FxmIfgBOpfEfGSzv/QUUWM3S75DQGz3qwZ8mMA/i9m/k4i6gDMAfwQgF9i5h8hog8B+BBSLZEvLdnOOq/WacG2A6mOZTmn2RhfBQGhqFge6lX2MD4IiBrmoF7u9oTR5ZqbyydI/SCzULMwF9/EugGy57/pAgapm6mr0uH+EnfuJPv3OPMrxKv6/bhsJPzqD3p5IZkgobfmRBNY6Jkl3v34LQDAB658Hn9q/3cBAPtujddCuv6BW+Pus0ll/9dn78FvH70DAPDiySW8ltvCq0YJj00hoJTSnF+4gyBsVquTib70B2s8dphslSE6WfhWm0yBNzi4gqT0atPH4CQS0VMLX+z7JiLmhYBGktB022kOzWbdSa6HXxNCzpHgRin2UpvL8SjsW1ceP8Z3P/dRAMCfXHxczp1SwCtjMpee37wDL20u5T55PLd4Ld0LEfPLGYyVi9P85p2n8Pxnnkzf320Q9srOBmSLL6WHF1SlZ8T8MrPJB2eGJphFSH0SaqP4xUJwCAUBTBDkaGLT0vdBImQuYsyAxtiy1KQpvjggvQvRrLtvFMH5ZZshRHQI4E8gFxFi5p6Z7wL4DqTq6cCuivpOdvLvjLwZzeI5ADcB/EMieh+AjwL4AQCPM/PL+ZxXADz+uldy99YNsUWJY0vivPS9IeOFOkKjr52d1vSQzD/jWBsXLNGQ6WtAd5IjHXNC2Ne0VqE7adQk4N4hZA829gfJXeDeYZWhzOPcCfPTmHeR5Znu0nAQb3447uByhiEB4qkfr/eYZZ7Lw8UKVyZJ1b07zPGPbv5RAMCdfoZ1SG15du82Hs+lxZ+b3MQ7r6ddcn2txcceS1rGv7nxTty8kcr1EQGCa9t4BCkvQIpTWTZATrverFvcyF75fq2ZrMU7T7NRgErcEfq7SVWgiQK7XBPrsgrlsXtGY/I77rya27hy+uCIFEfiFVoeD0bZeRd7G/yFr/wIAOA/nH8Cnx4S0uzjmyfxwiZ9/uTZY/jXn34u/fasFSf21SunUlh61bdiklzbS6bM5clSyhuOZ41watJICJQjPLMRTUk5b6JoGYEJk1JacvAYiykBzSWZznstwnzcaTp6F9X8YSQGtTzuIXOG8pmXPJjxMIBz6n+Y1t59NtHDN5p1+mYWiwbA1wH4q8z8ESL6MSSTQxvGzFSVdFbZrqKefqB+hCoHxEHefhdZay7AdNjYZlVUxakZQoMBWRnbz28YbhPN+QbAZMr7CTLP1ptkkurc0Zgh4+CFWTpOip1LsliQj+BBk74KI1eYaVLSM++4jf/g2ucAADM/wOdOffrsOj57nFCbY3Tostf81289hb0uUW5/fnEFiyYtNB/YewHfdTW9QB/YfwE/M/8AAODjn39CozDQ8aaexLcTJxrJwAQSAQAglG5lUvNAGJs8eSPgsukRDSLTN1FKI3KkCmnrfEnvj+LL6I60Enq6WG6jA0KOdDSzUcb6ax97Bf/ZwW8CAK65Dr+xTov3rx4/h19+/qsAAO7GBE2uzN4dEcI0tefO5Q6zd6fF9quv3cDnj9O8/OKtZKa8yJcxn6cxXV5fI9zOi2EwZLwzCNpyNulxuszIzsFjsKzfZRxtHZTghF3NDVQREov/ro1i3pFjDDcTkM1vdG5TpMrE0Bo6pKjnLbDiReTNRENeBPAiM38k//1hpMXjVSJ6EgDyvzfO+zEz/zgzf4CZP9DMFm+iGTvZyU7eCnkzVdRfIaIvENFXM/PzAL4ZwO/l/z4I4Edw0SrqnGLBlvnKenStgzNugbVskWRbCWq7AFQ6hyvWLCkQPAHCNHuVp6x074MBwBBSpKJ8zuKbINT6w+iFit/NNVpQtInYeylDBya4Uj3M5ZwNJCBTSV1/YnGMSQ6Sf+L0Mbx0mtLVX/rEdVz5rZy3cJWwfiybM4soRZg/tXlC4vf/6l3P4RueSBrKotngPfs3AQC3r8/x6otp96RBMQzxcEQs/e6dZsquWiAT3vBgzINi5m2c8EaCCXRFCXVL1ul82uO4OISHxuSdqIN4GLwA0wZTmi52jHgl417aCJ81sNl8g2965pMAgO+78q/w4eM/CAD4hVe/Fi/8+lPpeQyE2XHWTkdgzNiycQ+CLzl8nkAfT2P8qdklHP2B1P73f/VnAQBnwwQ3z9LGNp31oAzXX69bUAFruSgw9PXpRHg8XRc0ojZqDg8A0ERBciWLtJJISujsGEMpvdgrjH+4ZsiDuijtcb1q2cSc86/SMTfyW8qU9VcB/FSOhHwGwH+BpK38DBF9P4DPAfiu170KJ8AIewg6E4CaIURVroctPsSxvk45LpeI9cKhySHmY2PuNYmYZj9BMBR3volYn2g5PjFhfMQzl+4CAD756nUsM1PqtcPTQiqlldWZRKX3N1u0R9nG3GdQ9mqPE48uLxzr0OJmn7z2Y3R45Xay45/6FWD/d5LCdvbVV7G8WRYdjZ6ECQm47Oz2Vfy/fzAd///Ze9OYW7f7Pui3hmfa4zue+dxzB9977Uz11DhkoikpchNRCwqlilSqUinqByiEgigSUhCqoB8QpYAKahVEy4eUpgW1oqEkUDLYShM7nu1c+45nPuc977DnZ1xr8WH91389+9aRz7Wd6ATtJVn39T7PfvYzrvUffsMfv/U7+OHJ1wH4yv0vUZhcnheQq37lni5XI3kS6dPSIRAniXBOG8mToRv1HGxEVAuT0jKPQjQSLnRGOol2GQxtHTRNeqZUUf0rj/ycJIuqVlpafHz6JQDAB7MM//vCh+Zv3jvG9C06XgmsftDXfP6FF97Cx6ZvAwDGssRXyhsAgLubfXz6U+8HAFz79Q7pwr8en9PPAQA+9NIdNAVpaLT0wsJTwouQnmwyT3gDTag9ybwtMtg8olWD5SNSAyNpv6XcXqhCjUPE1FhYEc2uXOyqKG0ZYiCc671H2K7rKfGeUJzf1mThnPs8gI9+g3/6l76d/e7GbuzGszeeGbh34H8IRMg2erNgH08R4Ktb5skdevDfnp+I6HVDLGBDkVKCi1ImBytlyUow4CopOjbZFcKhmPiqWF0msBQKloscd7QvgJlOwRBj9MEmiSFOcAoftUgpjG8KHbs6V2qkGRkKa4Nx5lepSVLh7trv+51fv4Vrn/Unfvo9Cmc/5VfPn3rl1/BK7ptP590I9xpf+Lxf7eErZ1cAAO0/O4b7pE83fuHux/CLN74LAPD9V+/gg1fvAwA+0z4HO/exuWhkLPJKwAWTXhejJJV33MsP1XkjNDu6S+lgA3M0N1zlLy+K6IXSNxFOLEcNQhAOBaTTGbAVheHVOUs7jGk1/8OX7yCMv/Tww/iHv/L9/nrXAvOP+Xt26XiBYY/DckV7ZETlEuZ7HKQbfOSHvgYAuPjIAHe+7jtI+ds+ovzSk/fh8Ht8CjfOarxx2zf6xEqhVf5+uMwgm0QIdgBl1WUSHcZaGQ20eyv7cFBjTX8bRA1TAFv8IhDwr2s0xBkBwNJ4LfsRsVPYAmi1pDQmDenW4unHszFZCGqPGmxxP3j0OiMA2I4NSmxzSEKE3Kseb+1GRWKR/y+1KHMBQx0LWQtU5ClRDJtYeRYOQ5K7mzvBoKy6TJh8VOyX6PZJsq5Hmw5lZNPJSIraa7gSfuvSOfapLdpYjYGmCcUqzCr/EF75rRbpBdULPljiZ7/3HwPwD3vgLvzCvQ9zePxHrr2O56fnAIBP39xDcuZvdXaqUC99Xl5eSvAXr/7fAIC/IX8Mv169TAca6xcYtfHS9+JYKWOoa+nFFgasryAEWOouy1tOGapGbbdUaMjMbFkNWnoJRIet/D4M6wRe3vcv7p/Y/xzOjL8Hv3z3VegV6TocGfYlaTqFMrQFpsCacrSlLXCY+Fe0dhprSiOHwxnql/x53Ra+5aoXCkvi81wZLvHKLY8IvXO+H0F1NhpJWSOR0oTWacXpiUgt8gNfl6o2KVtRVnXC28CBOzyDvEHT+WNJdRfV3FvFdTenHCNKbaWjEZfo1SzMdrv0vap777ghu7Ebu/FU49mILAAf4irAIcKeGTahtouWMoTCPTUgpwSnJ6bfDXG9v61AiKhNGn01bAasrwQWp+GFzxiJQe5XBnb1psHuWdrBUhGrnOVxRRaAnMSQHPCRRVh5s0HLEv7n6wFmxD+wVnJH5WI5AN4gqPiPAslLfjX6Y89/DV/c3PTHYTUWnY8+7j44YH3HLxbX2dZQDjq0Ad9zvGHa++ce3MB/0f2k3wYOKeFFmnXKQLNs0PKq2ZYJ35ODyQYtHf/M0TG6hC0KbCtgCFvcrpO4LDlE/VLlOEWznUYZ1KsSy+xLJ6OYjEgsxkPSxUxbfHTqOzwDWeM/+tKfBABs3p4AL/rrNB5X7FqWJx3+zHO+y38zPcPPPfgRAMDXnlzCPgnRHBQbvPbQRxHtIsPkkm+T7F/zKcvohSY6vhmNFVlFSmmhKCAoNylHxwK+4Al4jE1Is2yjOHp1rYQJYkTSxO5J3vJz2BrFtIPWRL8Z20mAhIeEtgwCtCbafSrrIgeqi/wfJ33a/l4cyZ6ZyUI4SgrCu/auLgZPHL32quzi3/0TNynYvs3pWKdQZZxQhIn2haZwaCe0fWaRUDg3HlSM6FPKsTKScyKKyKYtxqRbsVwVjKgTrfT+mogYMlEpzkw2mY7KW07g8t6SthV4ec+H17/65GWMT/0XymPHorS11XhU+QN+YXiGy5kHEv2Fj/4aLhMv/Z9evJ91FYajCmv4yehotEZFIe3jx1O8ZvzL8eMvfR2T5/xL89mHN9EF5Sdp0Tb0YPeAU1panizCkKMWBaEUU91hRS+KaRWL2Kq5Yik91UtxulXCeXmWtShDyN5voSuH46FPGd43PsWN9Ix/O/ib5nMJe51SwU5tITJzYh0qOJxX0ebxIelrLEcZFE22XSM5kw0t8M5KVhZrrWIwnFYWy9s+tcvOJarn/fMw2iuj2paRGJKg7gYZo1iTQctpS1trXkwgBfLUX8tB1qAkab/WKCYoopVc10jzjjUvRC1ji7TrAxTjCux5WO+tG7JLQ3ZjN3bjqcazEVk4X7QU2O56bFkTMuAqgrJssi3e0aecB9apkY7/7kZ9w1/BYd4W27WRaOZ+NZhZwUUm58AzulLWGwwDSLOOxWGsEeymrUaR5xBEYjqjUBKduzspoJ5Qr70RuLfnOxG3vushXh54DMWvuleweMX//v71OUZUYC1Nglz5/b++POYC2edu39zq5bN25DJhOPnZcBCvl7a+EAtg0eb4sX3PzLy72seDc79SbmYFF2qTcYPRgFIb4dAGMdrAqM9aPLfv1QgOsg02RIOsTILz0v/u6rCvegz2HhEBbwGSsh8R4GlPRyh8rbBs/PcnuuTC7sZmGBzQNT6ZRFl+IzFf+N+1qwT/ZflxAMDV/QUenEU/lhAlllXCkQUALsqG4ZxAQtHEk9UQl8la8mi0hnngu035qYPJfSSyaiUOrs7peoGNou0qYTCVczampkVM+YyR2FS0n3XeK5oKtk8QrYRVwZHMoCMfE10L2CSkeohF6a6XdgjfBfwDmYZ4h2fB9GnhtvMrJsD0tS2wjfhk5+3awTIxTSC8NTZ13FJNVjF3thoRSQhEgd2e7JvWFklCMnlOcErSNCr6ZwjHjtt7ow32cx92hpf5dDPEilSgk7lEsvb7b6bxtwvd4qQlybVKISGl8cNXNljW/kU5r4fcMbFOYk4vkK0VGkp9VBGfDGEEq0YD4K5O02g0qwgu+pHBmwCAT45fxsMLInJV0b9CJwZ5QKtaifWKzoUm1Pcdn+LFkafRlybBrPG1lFWTccg+ymsM03DsgrUiShVd1M06QUa1ieawhtkEvQHwNX0uO8MHc98yTYRBGoSHVwIVTeqyR+UWRqA98cfzwAq0qyiHFp6Dts4hSN3bpZZf0GDiNMkrvgfzxQDd0E9Qh/kaDwra3SA+b9nDBPWRP6fLkyWWqf9unUSV8s4k3BXrZD/v7qmu2ajiDSsgwkSjHRJqxSeJQdtE1KaNtzXOCC4iNlUDCPve9Cx2achu7MZuPNV4diILxAotgC1hEyACsfyG8b8hErEaMCH16Ank9K0ARCcgadZvpxa0gAMKHOq61EZ4c49FmijDYXdTa3QhfFaOQ38gdjs2deq7GQDquV890xONhDswDvUBrSjTjhmt75wdYC/1q+fw0hrlxh/kso6r8+PVGA2FyKk2jDc4PRxiQW7ixecG7IWyuulY/SrVHTQV/Y6mKyT7vjj69uIAv7LvcRaFajGhlf3JRQ65CQIrDoeFX03PygHb/t048HD3q8UcXzj3XIyz9YAjD2cE4x0AYE4AJiFi0XY8qDgEb1rJWII8b7EOOA5t+dqMVYUv1r4jtDI5FgTxHq8AYmojL5qI7xhIVgjrznIM7hO8fujQHJM61aMENRWCkRscT3yaESJDLSxHNpdurDBJ/DV6a37IWJB2BLQHIR92qGf+uN5eZcgpCrhy7QIdPUubOuFjtEZ6d3YAaBUwCC5ubkupLTKnBet6ut5z7nSvCdCCMReQPXqE8zyrP5C+IU6KrdqETWI3RNURiNVX/ZZdbAu1MqI2TbaN7gxDdoitusKxyzgACLoZoon6Aq6TbNwyzEre9uF6Gm33DipcnvpOhpKWOw0PH+0DhP8PGgyqjDennThOfUQVH4SyHuDe2OfiB8MN7ub+5Z+tCuwRwUxJC0Nx5tl5gb2i5O2X9NIcfqVFsvQP2+pWFuXo2gQ1AbcGWYObY/+i317s4zfmLwEAlm3Gubket7BENRfCIfQIUmVw69CDvibUor29OuD0pWt1pLY7wbUAawX7W9hSw0z8Npf3lkhJhetRN+UXyDmw8K9toifsWJb4zeWLAPzLPJkQyGm/2BIEZlf7zMDSZJFcSCQsTuy4ziSbJErWOcH3MqQjF12Bgia3P/XcZzE3/lr/xpffhyII8KZgToccdHAXJKK7TlAekPmRNrgy9s/MQQE8WPhrtln36jnCRWKfQwSmKQcE4JaNx+ac2FpgmQPS7yramKqbDNiSdXiKsUtDdmM3duOpxjMRWTjhcRHC+OIMgC21K6sAqMjvCJR1JwXrDjoJDrv1JhZ4uvB9gIQ3aZulhJNUyEwci7+KnrlvOmxwOPZ9/U2TYHbhV3nXSvZrEMLhfONXGNPHHchYPDIEKnI3m2g3pyynMnadQFJRVc8UHn7Bczo+9INfx8d/+KsAgJ9/8yM4nXlI85WDBQ6ouLae53jzNc9hENMG4tyvZI8+JiHoIhQvzrYq+2HlTZXBmARyfvTKm7i78RX92/MDnJ1SkdUIXlESZfBo7T9X0nJ4/sa5F7xdlxmnbmnWAkGf1gn+TWcFFx7FsGXx3nuP9lFQByTLG5RUCNZZh9HIRy5VneCM8BG/NPtefP7Mpzx1p/GnX/Ram186vo5PfcWnU6tFgpsv+RRNTSzuwp9fO1HY/4jvUhTCYRkEeZ9TGF0ik+kmvhoBq9GZBB8+vgfAA8H+u9/wfMnpVxIQORg2dbFADs1yB92lluHYZZnibuejR6Us35vpZMOpbnBnAzzwD1RYNrVixTahLWMrrBUcfTgR03PVRFFrYeN7ETBGv58U9e/ICC3TrZDpXXyQ0P4UsSPpT7xHNgt/e2Qnvfy9yM4JBAa399ig5Fb02NSqiunM8WSFl6a+uv/5x9c59YBybBgzGVRYE2hnMyuip8Ogg90jPQcKwfMiThZ1rVk5HAAsIRazU43RPb/NZ67cwic+9nkAwE+/8il8aubThLdmhyyWqzMDPCZJtyZjtW73/hXXAG5MlvwQ1kbxy/FDl9/CXzj4JADgb53/IN6Y+Ze+6RRGe34yWi0KdjRX0nEa0LYaFbWMuYUqHEvKSen4XK2VDPJyTrAobZIYKg/tHgAAIABJREFU1DRZtKsUm4U/LpValqAzncSAujfTokKm/VM+awtcrP0LVa4y3L3sCXT/8sGX8emJp5R39wdRGi/bwB35vxdVxmS92ycHnGoCwKTwE5Mo/AIBAANKPb7/+h18fO+LAIC/f/pRjF73/54uHOp9ui5TG8l0ymGPHO7zpMOcFhXnwJOhayXUMNRtLNdqdNbx4uMcotlU25MMaCVsAJolhv1rVCVYqLffJRQmtrlF8J3apSG7sRu78Z0ez0RkseWSHlKPtIebaBzDY52IdHKImHps7a6Hy9hSzXKIjRSNiMmvBGwIF4tI9T1fD9BaD4eeXwxZU9KlDpX0IUuSxBVAbBSSmf+7nQrucISCbK0tW/1Zo3j1lGPL+yiTDN3Ar1jjz+b4K2/+mwCA6rkGe0e+KvfC/hnyPX/B7iz3cb9XKS+mBJqSlrsedafx6p4Hel3LZ1vX6v9avwoA+OTJS5gRgEkqG1mUXVzJqlbjEgGRZmXOmIutIlsvrg2hvOnU1udh+6bRyIlunfVW0rbRSELY3aU4OfUFQKUtlgN/3cd5zRGBSix+8avfDQD4zcNb+OFbb/nzvqlxf+3BV6+dXGYzYiUdTpbEFC4ath0wScfdnn/t8mexNDEVAIBPL27hL/2DP+t//x1AUuNkdV2ges7fy/Hhmo9rOiiZLbqp03hNe74hfTzFpk4ZpNa1ihXWlLJICNYtJy6mKCvNMHpnBRIys1YVooiUcJx69CMDm5Jfzo51uhu7sRvf6fFsRBaIRUjm0XSxkCk7r58JADYVW1HIVuunR0LrYzHY3EVE+X8BsMGOKqmtCaA6crApYSUWOefaEI7Na/RhGX0urcSEINDVOENL07hLHUv9hzEZb3g1bjrNLc95lWO29KtFsVehpHOVbYbxbf/39E2Neurz8s99ZIRXn/eCN993+ADPjT3E+qwa4vLA4yaskzjKCI6crLjl+aiZoKOwa9YU+Bo5NTy6GKOtgnqQiFocXWz3CuG4ndgZhRXVKkKh07mImlTCobYRBh8umJAOKSE+8ySaCbU9khbQg1oLxzUf5wTn9K2VjKI1i5S/d/pgis/SPq9OFvjooUd5PhxOGX5+Xg2hyJz02miOl0mT9ECvcSP17eBDtcIblb82v3TfS+2d/84hrn+KWsobg5OP+CinumRx+aqP2IqkxfmaRIQAxsO0neKISkoL0bOV4BZzb7hOxudHO2YiOyeYEWxzAxGi143mIr00vR312qX9iDsQL99L61S4byQ28/s8hkc33fs/8TPbIrtyuzCzpXzVFzs1cfsQbplM9P4Ga1E6BU434MDFQNXEdKa85NBN6EZmJlLOAe6fH1xesBnw2WwEQ6FjMa5407aNvPrwkJhGsb9FUTSMZXBOwNA2e0WFll6I2WqA6sxPInqmUDyhTsMswnZXNwSqq/5BUtMo1tOWSaQ7KxOdq+7l0PRQ1YcGrmCgylaxSwZ4uAQsaTsWByUKKjZKAX7RKyoE+tA5aG06dD3OTJy8BRRdA52YrfQkHLvrPcHGxElB9P9NuEgXkhYtUb7FSmF4lyDvFTD/bn9tDq7P8OoBqVwlFTpanYa6xvO5Z6+etiP8Mk0Mpw+mmHyFCpwnlM5NBVbP0+XaMxhd9pNxogzzON536RSPV741UjYJ4zKUtDinNK+rNYsN7002WG5iFT5cg2qTsi0ALBjirdMOJnRAWsXubqZSyO77402WAvkZTdq1Y56IiXOqxy454Kv/x1/D+vTuU00ZuzRkN3ZjN55qPDNpCIBt9WHbC5H68IVuO3QKpimmL7HnEA2TFbbYq0E4p2+k/FShmBFQ5MxV1ilSKpY5AOLCz+gbI5CT/uKwaJiwFdbOx2dTLmYZIznUztOoaXC+HvBqO8hrjG/6aGX/5RKnG78ynZ1MoGYks3YhsP8FQpPOcyQlhahKQFcUZQwztAO//+XzAvWLfp9Z0XKfvttoDo2xTDjq6iaGGbT9NCHVHTRhX0Lr1PQQr6btpS8yVpad6xdEgZxSEiktf9c6wcSwzsT0pGk0mgUZ+1SSo6Jk2EKQrYIqJRPzUiEw+R2Kbr58hK8k1BqeRo2TdBHxCXoDTN+mlnhjsbrmt1ldp+LzZQd72d/fYtBgf+CfAdN7gI7zFcousrgCRiPXHeukwAmGyh8UG9QBkl6mPQMhcIGzz4w1Qm1FVwzf7qIxlKqjMJTswC+VTaKPr28O/P5aAXxHh+jlVxAxv+qnJIjNClgN7qPbnpqW7BwrBYV9Ab4DEnAavmbh/1ZN3NSmPeNZ5ZiKbo2AIVZfZVJUaxKEqRUwCA8BUBHluzI5ZoHuHCL6xPCx1FXCvfNqlfLBZ6OaH6rVJucXZT8vcZUgwkeDDeZkRlwkEXgy2xS4IOdta+KL62zHKkpJ2mFED+QgbTmnXrgBzMo/DnolYUZ0wQsTpfvh0yQAGCYNUrqAJ0FgJk14f1WdcA1EahdtDV0MtbOk40lBScv3VUvLbNRNlXKNAwAEpTDOCIbJt51kyne3bxna3hyL6AFD98d/QULSBNi0kl3rk0kD8XF/fr424jsjE1JL2xeOU8dEGty98MCqcVHzeXzqnRf4/u0PS5wQkM50iieIvcmGcTLvnB7ECbCUaEn5io2Q6XgDEAvoTSKVAmaUepSCU2kWtoFPPfoM1PAe2QSw3Xtqhnx7aYgQ4meEEF8RQnxZCPHzQohcCPGCEOI3hRBvCCH+V/IU2Y3d2I0/4ONbjiyEENcB/EUA3+WcK4UQfw/AnwbwEwD+mnPu7woh/kcAfx7A//DN9ses0hAFvDtNEPHf+1HGN0pVvF+p/9ukPYsA5RjBqUsBRfVI2QKhpe4E0Gf1BZk8KMcFTtdJdieTleTwr5vE1SDAtwEwYUwNYgjTF6dBrXjfQkQUYaXj7TkvByzPN0xbFtzR0nJ0cTDcsMRfqqIK9LwpMEz8b6/blNOGsk24OGkWCWtemJH16uPwhcwQUTkAx4Uv6g1Vg2XnV8SW04fepTOSvVCNcdBJjA5CxNNZ6fH4ALQSyAmdmamOq/9VE1mZXaPgiJWp1jKiVQXQ7VM6M+x45TWl5gJgMagx7UVFh7lHVu6lJe5t9vjYQteosYqNqAO7dNHmeFL6SOHBYoKSiF+DrMWGIrp2ncIRJmK0P8My99usN5Kd63LdYb7yD1yzTL35MwBZS7gDkiXMOrZP8Duma2wFR06ilpB1KNKL3nPeY2/303nXe3e+BVm9bzcN0QAKIUQLYADgIYA/CuCn6N//NoD/DN9ssnC+9mBSsdVCZVUrG+sONppu+VRFx31ERp2IGpy9dpFsBU8qrvfdagq0Y8rrhqaX58QqvkgsJN0k01OesoWFDa7rnYz2cw7QJG4j6UZ36yHvz04N9IREYJLokl3NcjwkERiVWKYsC219ygNgNuhYNr+sh5GhaQSnDNmwwZBEW6QANsQ0naS15xoAWFYZA4VEI/kBc1mk6dueLUDXKX6Z3lwc4R4ZBrM4TSOhydVMNkDSgxZblfDfNFehTRxs8ASRjvk2SdHimBioedpidjaK+1/Q/lswh8fJ7VTDsj6qgaS0oa41Zo7g4Ynm+k+iopZo02mGn8MJVhFjxmcRFwOx0nCUMlStRkOThUii8tXj5RirQNO3AiVpfZZlijY4zHci2mimhrtszoH341LLqRIcWDgHDtEKQALhwbVpzwenc9wx7GvWoqdt+rTjW05DnHP3AfxXAO7ATxJzAL8NYOacC8vIPQDXv9Xf2I3d2I1nZ3w7acg+gE8AeAHADMAvAPj4e/j+TwP4aQBIh/swidgqxDjEWVA1EU8heoXPLeOhd1nMs818AgZZ9QljSARMECyZWN5GDrsoZ9ZJhmxL3YvnHJAsJH9XU8jeLjPe3iaWwU9BOyFZCO7SqEojINXVpEFGsOdyMwCWlBoIcJgprlQwQRjF+aIa4EE/SwppTa04XG1WA9SJ/zzZq3BIhKZCtzgtPXNzXaa8egrpOKy3jYRjdBzYd3QyqFh85itPrsA+IeIXLQ2yERxNwflrH647DwcEO0+DXhE7c6z/0TQSjiKLQdZg1gPYMfamE2zBIIzgiM7aJHZhhi2LwxgjsSYRoiaPj31bafYOhYgFbSEckMXuhf8MrA2Kcc1diTzpsCKRGyEdFzI3VRoBV41ER8VIl8SUFhAQVCB3VnAKlaYdY2NsjR7TsQebh4VVlDp2giMskzsoSoNlG9NtNL08UfSijKcc304a8uMA3nbOPQEAIcT/BuCHAOwJITRFFzcA3P9GX3bO/U0AfxMAhsc3nVN+QmAvEAfuaGw5pPfTk14b1YOv6CV/9/YB8anBIWVXOGAUL7ykh800CjoPTt2G+QpmEx8q0UhOW8R+w2hONWxhE2pjDhoMr5JZbkXai5XmNEGlFkNKJfptw72ri1hH6CR3e5wV8eEFtgA+WMUQnwV19hu+BEo5zFZ++5PTSbTRqxWDr/qANaccx5xJ0eLFy555u5eV+OqFp8+vljkctZKHR34i6ozE5omfiJJzFVm9BrAholcOhjgVZtrhiDw5vu/oAT79yCtfLR+M8fCxT3H29tc8AeqFitTrGuz70hcxgkCkap9nqBSBtaYNv4hdq2J6KRA7DdLBzlK+Bhm5hgXRoXFWs+ObA1ief74skBALOU1NTO166FPkJt6bUrEvihw13IUSjYSaxE5VRWkLTA9qKW0P0Srh6GXopo7rZC6JWrOyjUho0WuwOEmwg/eQinw73ZA7AH5ACDEQQgh4M+SvAvh/AfzrtM2fBfAPv43f2I3d2I1nZHzLkYVz7jeFEH8fwGfha9qfg48U/jGAvyuE+Cv02c89/U7BbDnVOgZceRw7zdbO8d/SOA6lOhnTmC0gFgBJPAcrHXcufOji/9abWBXeDCXEIKqIMDtQOYR2hDDbqVAoRE3HG5asU9Li8siH0i2Bd06WI44URnnNEcTsfAixCJwSyyvdredOudPw+GzKK4qtFRsYwQhIKpQ6K4DQLVCWi6DDrOG+fnVWxBVZRmk/CMDlvaUndEBygZtDz3uY6BJfPzv2nzuBYo9Mh4mJumkTdve6Lw5RvEayghuHzWW6r51ARxiO7331Lj60d9ffIzgsj3z48fkyZWGgptMcspuRhVj2bmwohucRlu+qXtTgAH0RuCSp5+sAPvIIBtl9OL9yKC77KElrwyZNodt0th7g4jGpnvfMo+WggwrCNuuUNSNMqSAXoS0BTiFkKyAP/D6HgxozktUTrUB57tOZahWNiPyX6NmTDsXQR6y1jmbLUjkY0QdU9P608b9bcpPvscD5bXVDnHM/C+Bn3/XxWwC+/73tKJDFwCFqV4iI5uzVGmzPVNdJwROK7ADXhM+320XhwkkXuxuqjPUDq72ALgCgiDwKW2r+4WTUoO16SjqhNrFIUKeUeqQdpjQxVK3G45Wv4jOVWlpkVO3e1CnrZSaPU6QzmtC05HDx3vwKzKj3AodcvJV8Hk45dnSHtgw20olhinhdx4co3a8YtQkjuBUJbWOc2UhOTzqb4jfuPw8AuDpdRPRlJ70jOoA3e1Z81697IlYyreHo4V09B8hXPKCsnOUo9v01+qNHr+G3Zi8AAD5z9yasCcK18R5vlhnUnEydz6P+qskQRZaXCaM5RW7gaKKzA4MmDYuMiJOkdjH3F2DPksGoxji0rZsEZWiHmoiwlJSiukQCJGTsFinaXiqjzwko1QEddcpc4iBJ5GZ/fx1FkFqNZN//Ziuz2J43IqYwiWUEZ39obdD1yGmmV2PhLmGvNuFU7AAK+95bpztuyG7sxm481Xh24N6hcBkq5z3lc2nAcuam70ImepGGiIWc/sq0VbjTiJFFLSB6ep+BmYpWwrLjk4CjSrW1EnIVABvvCtnp91arPDqO1ZrxDKy7mRg0BIEWKsrOwcXZvz6MxTpVRzaqyA0X0ZqLPIaQmY10cgkutk4GFUOvLx5PWNVcjloOma1QMGmIUR2nHnIjfWoGQJ1rNDMfJr9xuYhhuxG8CmqCY1sd157pqMLFVV/slDc2+MGbbwMAvjq6zOCrlcmxaKmjohxaWqnFWiE9p78NMHzofyebW8xeooJz0UuhHPj81KiDJlGhImsYvNbUSXwujOSOl8w7FpDZuAzrkyHvM5gPBSid3GsYti4E0CYk7rNMIEm233UShgquohMAmWMXw4ZV4KdphS/d8bqpdplA0nXXjfC2EABEYZBShyxJTPRMddtOaUG9XCcmRoxLDRmg3+/qevQBjar9A8oNCRaC7DzW06RwAh5Z9O7v9NqoTmLbwSyAuFL3DfM3p6LjWTtynEdv5b8q5jPuUc4AGACQFBrbaYdk7B+nrtZoA0DJCphemwoAOuViPmUE8xbU8xtUAUxVtKzodL4YIqPtu06xuC1UFIVV0w5jqtav1jnzMZ6cjTl3Hh+vmNNQtwnKkDZ0sqdbIbkjJFyv9SwdkpXfpnicbknJd4SVqonE5UYd7j84oC8Cg3P/vRoDfHXvMp9T6DD9wvpD7DIu7hQ4fJOubQskG+KyrA1WV/w5LW9IdIPQmnZw9IIK5QCa4Ltlgi6NalOHewTuGq/xhBzQ6zphDY68aLAkVCZmKXQdHxZzyd/XoB9hasWtUOeAm9d8yrV3o8TDJcn51wn2rvj7cVhs0ASSnZN4TOpc93uEQjHsYHNKmxoJQV0SIRzf720FMgEblNmE4wnCdJJBe6KLmi/S4HedEHpZ+VONXRqyG7uxG081npnIQlhs9chFb0a0Os6Avxud3GrBqYQ3eqHtexwT72BG4WeDLZczF4RipIvhqkAM3xuBLoSXwy6CbXqK1+IiYR1EmxBeAbF46hLLGpnOCRj6nWsHCwySwMVwqMlaTU6j+fD5fBgNcTPDlXLTKCyWQTvToBj7+FMI1zNIanA88FX+N54cwc1D/z6mLegVhWUXlxyTO0/jBlCcWug6VPQd2oHf//KW/+/6ZcSb1iiOAlziOCUa5A3mZKmwbAsusE4eCxx81XMx5KaFyyhaEQLdiwTW2nMRut8IxjMkg9azRwGfStF1MhuNczqeg+kaOtC/85aVxJfLyHMUFuiooCxrydydoBNaVoq7TQLAA4K7tweSqeg39uYYk+mSlhbnpd+mbDU2a/+bplSxM6ItNAnk2FxwWuG9S+m3hGNRIWclTMDJWAFXB2axYJyFrAVbashuO/XgaL0XxT/teGYmC34IQvjUxTRBGPTaqKL3UIMnAqejGbLbevDjb9g0vrg2BVyQIWsFNKUVnXIR0QdE09qDjm38MHZISbeirTUjK6UD9CpONG3PSwLwqUs9pw7JwHLOf3t2KXpBqCjgCiM4TZClREoTUXMMrqzbRsFQncQWAqHoMxpEhOHZbIRHd3x6IHKD7JJ/KatF1qt3OIS8xRrJkoPCAdUxKUUdiFizkOihAak2oy3XadSgRaMyvoYs0tspPj+VWbigyOWAi1d8d0U1OZbPSb5PWxyQ/mJBx348XUHu+W1Ol0OuDazqjP1PTp5Mer8b6z+djsK4ruiQUMrRtYpTlUDoErXiBQC9lPJ8MeR04EyOUAyigfbqnCT2KgVBCNmkil0Ikzq00/DQO1hBE10br5POHHfo4MDdHs9diheEwYoG0GWY1OPlUm1c2DzBctcN2Y3d2I3fg/FsRBa9iu1WyMTRgYsw8P7ofSRsZKzaqCWzpb7lECOLfgFVb3odlk7yCuDdjyhaSSxsYB1WGnWAfveEUm3m4iqooxoT9/cVmH+RP9Qecg4fFcngTpa6nqGS2Loe4btyrdg0V+UGJrAstUNBIbNzglMY+6BATlyW5uWOPUrfbI/RUUqiZ5o7IPWhQUfANLmRPSBbD4/SLxqHf18kcPs+/n3p0inupj4E19KygMxSOFQpmSIZgeKUCrsXDu0wRoaMtxnaKMRjEfERPUbwssrYiKhtNDIiq7xy6QS/Vr7Pn9Mm4YjRNBKasA1p1rHGp+0kp2iiFbBjv5+EojgcVGyC7ZzAmISalbR49Mifq1trLAN2RYClDEQbj1fY+ExYBSji3iSJ4SjG1ipe47Tn4iYta3OKWnqd2HBvAqakE+gKiqKUY1Ecn5KEKM0zs9+LYO+zMVnQEP0WaRr5+cpFdGZITeKX/H9MEkMqYcCtV4ft3Ez0wms2KR5HJKgwkTIsRl2vvRkr0najIYn05ERszcr9BuoKtbu0weKJTzmyh9S+O7RwB/7OVetk2yme7lqykNvVa3pPmn2L5n3+4SyGDefIZZnC0sOW5Q1G9FJWrYYJHJOhhSG9By0dvvaaJwKn5wqaUvZuv0N30JsIaAJKbqw5d3a99Mx1gqXswksgKwlDSNSH4wm/hLVJsKJ8vauV1++An4iCsKyuHNbXqDs1BTqif7vcRiCU7d1j4Ri9uLw3wZKOS60lXj/xHJPXjy71UiXfFQI88SvwOqwVMIRuFcqxjoczgusTAU0KJ3iyUMrCBIlEGx8w0QnIC81/B+tKOzAM5GsGks2YnRVQ4d4n8XnrUom27LXhQ5rqBESgsacCkiYL26otNC7rsyjBpuJd3kM5S2xxRZ5m7NKQ3diN3Xiq8UxEFg6UhrgIsupN1r5gGSLRiMDeVgFCL4WxiLwBB0QTyPjdPty72bO8yotGQARsxUBsAVoYVu2iz4hNHHdhzEajoxV/VNS8ki21L3KhVtx9CDLygIcRdwlFAaMIdhKdhKC+vx0bZD0dy1XwynSC/UUBwATVKhur+VAuSsafZhi/Q50GBRa3HR5ucGPPc0DefnKIhqjrUjokBLqqmx7cXUVQlOS0zSE98/uemynUIXVmpEVHgj6oJfSSIote8TlElIBP3xi+nUSWJQDkpDZ2Y2/Ony2aDI/u+gJulxsoElAW9/Kt5XBJ91gfrlhMuUha3CbFK9dJ7B35GEUry16u4RFbXAyYuwEB1MMIrWfezqiL7OQ6qnmh1lGoJnXQWXBck7AX/gFaXaTQRx6jcby3wowkBvpwfWsle+SKXgoilIULJ2ux3Q2hzawCpydOAcnqvaAsnpHJQjivWdFHmwkXT9IpxA5BD0gie+mG7Bwc3RiRAn07lJ4YMmygKY9i6uEkIu03cZHi3PSUr6xgCQI7NOiuUcXbyGgzl5oIilrsoTj0N/4DZAgkhWPl52UdXzwtLYYH3hwo0x3/22KdowmVeAGuiNfLjFu66V6N/TE5qtcpU9fbRQZFL2VSC6SUHrQjh9X3kQDt4RKC6hptq/GACE1tmfB5l/MeWrQfhzoRKfNEZNPaoKHOjGslOqJ7I4+dH1lJ5OR/0uw5zF/xny8byW1LlzioQZxJ2LrSCqZtv76+hOeu+NrL9xw84s6FAJA977/7zqND4JQmvUogeeS/u753gCC78fjIsNgvjMBs5tu6rlbcbUmpvjGcVlifUXejkbBBjSqzPIm5IjrGWyuY72I2Oipu9VW40Cv/GIF25heBh802XiAdBFRqi5IWlnqWQ5JMgNIGbTDulmANi2TttrRewmoZFuf3MnZpyG7sxm481XgmIgvPOvW4ioCnQA8Z7fp6gU5sAa5YmLQXiUhD3/H/EguWBpCUB3SjyKlwieWV2qVRf1IWnVdeou86YnRK5aIobCuhB/7zK/tLFkdZbjLuvd+52AcA3NibISFvubJJWJPRGYFu5E+qKlN0ZMcnhy2zDbNJjSKj4unUICX4dtlqnM/9athuEvYTGZzGdUBX0Y1KvrrCn3zpywAA6wR++a43Rm5b5TsGANLbGXKvd4NmqrjD0x50zIFQ2mJIeIKXD73T16LJOTppGo3u3Bd4XS1hA9ipi5L1shFoqCAsRw0OR345nK9ydt1yNnpmoAdPVyuJ2633Adm0CcPZM93hOlHqz8cDzAh+bwd8OaCWCsM7fp+DRxrzV0OE1OLGZW8F2RiFGSmQDXISOy4zhtnrpYShCHAz0tylUbmB0kFtC7hx7PeX6xZP1kPeT4gY+1GDUpaLwlpblMuM9xO6IVnSMd9FtJLFlA0k44BE5zEVALaiCuFcTLcNpSjvIbp4NiaL3mBfA9UT7+23OSsH1+uIMFchjV0P26Pi9oE8ructolay51GiuKNhtGACEQSY8g0Hrg2YTkV/TeXQrvzfD+wUA3qB9kYlE6aWVG1/sJhE2vgsj90E5bAOqEoH/n1rE+7eNPUAHVXqh8MKa7LLq9+aID+janqvwl1esdDXSJ16smY9i6ZK8E9ufwAAsHo4QvHAH09Rx2tZHzisblEOftwgo8lQC8eeH/uDkl/QTef3bZxk8FWSGJjrPg2TwrGZ0EYWWJPenhlYtuVTymGUBaFBsKWf1tHRvVqnPEmLQwNc+JD9ye19Fgq22uGdS4cAPO8jIfDc4XSNhOpJj84nWIypA9LEVnnyTo77Z57DIq9UuH7kJ53QeQKA+T6lbXmveCbBPh+DYcXXoCpTPJ6P6Xp0qChFa3uq3UJGDkgnwfvsOiCl626M5IXnYjng7owrDHdJlDawp/6cvHFS7IwwwVKJLbq63HVDdmM3duP3YjwzkYUHT8WYSDgX2Z89VKqTEX+xDcqKM6g0gifWLWaqQIwyepwRYWNF32kJm0V8fgj/6jLhGd2Gvjt8qtLvvQc+xrLMcN6STmbAKVSKzyk9U0jnsfPDtgRHlnkqYthtdToKUr5KteEURpcRwFQfGabUH1+e4w8dPQAAlCbBFx57SnS7SdGd+PA6u4jn0RXxenQDB1uQFuSoxqWJ79w0RjE+IVGGC7Fv3/fpgNQ9Oz3ESCxJDIOmzFiiWUXQkqM0oSoV7psYlQTdy2ujOZZEY7/dHjAvwlrJ1gHyLIlCwUKgdZQeDBKA8AxmLDHNfJojlWVLxiQxqE+IW3MGDO9TYbctcOeM0oDQRVkLyPDspbFAriqBbo8iwFSzI9loWLGATlUlXOxM8g6joT+WptMRFGYkOroexonoot5JbuiJzHB0JRPjBZoAiEGMFEQXn3mBZeXFAAAgAElEQVQDsDuZTWKX0UkBYe17KnI+E5OFkx4w0rcv3CK59OoR3kqb/nSIFeaeVoWsARkuiorbCMQuidMRTAWAxWXD7wHeAGaLJ9KFHMZF35BlgrYgBOWw4S8HGjaA6DeiHRTpNLQjh+aQHvaNjJPYpOX2qrOCsfyDQc2u5YsnI9bW6PYsTxBXrl9w6jMvc3z2xIOvLm7vQxOCU8to12hTh2afWr3PLTAgQtN8XTCh6YXDc1b0/u37N1FRtb451NEhPAleF/EaOic4ZRkXFQZJRJaeUksQAEToevTk7dpGY9HjkpSUQnWNwoCIcqO8ZgDTk3SM9kpseYUUUVYSgq7T+fkhnhz4eopK44w2Kmqk1yldHBc88Uvp2MMjnEe5yfg3JcATV1crfsbq8wItTUSTccneLc4JbmtL4djusDWK92k6iWTkb06SGDYxcr0WszNRAdy2CpoAYDjXSC/8NcguYurdjgS3SEXHTSkI43bckN3Yjd34vRnPRGQBAGyE3EsNOMqQ2yAt/oqJqYtB1OyUJoZkBj2chY0Ril+9A0DFwRBPw057NL1aMe3XZjZqPmoHN47TfSgypUm03Vu7FMF9sKGV3FgVC0yJhSCYthsALhQ7O8mhvCwVDNHAK+E4WlELFd3Dxh3T0gdJi4uNX7UvHk48hwTA8KGELulYxjFqq486JPv+ux+5cg+aLvhvNc/xKtgahTtL382pZjl3I4SISl+hqGt6QDBrJQpKPQZJy/tOdRf5HS6ukp5tS3RreK1OAKjqIfpDTv2JTLMKJ6Rx6ozAgPw89gclHmLqP18WLNyjSwFLaUU7cfw8nZYKo0NfCN7bW/P9W5Y51qc+PQmrt7SRQewk4IgtOjjY4AoxXTPV4cnaH1fdKaxIPsBaEdPXVrDIjevE1vVQ9BxOBhXf7z4tSkjHqbEeNmjoWVEzjZRwavksRk7JOvJE6v3oIZLN7Vbj4GnGMzFZCAskGx8WhZsoO8cn4qTYBmv1UpUQ+goDjpOsipOLNxzqFTACHbmfnvRTt0bGeEs62DRKpAXUppPSt1gBJIOGc1TrRFTR3qRReZnMZdKVgBn0yGXBo2LURbfvKipW2cKyCleadehCvn7dwKyjp0RAFd6+PYIiMlhRCTb5Wd+wEISmvHS44GMsz4Zcmf/soxtcV1jennIN5/XBKNZQcsMp1XpeoEwI8KRCzcYhoZdtkLUYpn5/mepwXvqXZlVFIyZYMN/EdiKmfNpGFGQrGCnqpMOS+DbLk1HcTydQHPi6ylGxwnnuf2t9pGAv+W0qK2KqU0skc0KRniRYV75j4QYmUvaF404NbvoJqmslBKEt9VpA0v3rkgRvXSY7xFHD6YnSlmsTedpisfEToLWS6xSmTuJqJh23r0/bMUzoenQCkmovw1EFLcPEazA+8q1ZCYd7L/hJ8mJWYPi6P7bhA4fijPxez8AaJBBkcfidTEOEEP+TEOJECPHl3mcHQohfFkK8Tv/dp8+FEOK/JQf1LwohPvz0h7Ibu7Ebz/J4msjifwbw3wP4O73P/jKA/8c591eFEH+Z/v9/DOCPA3iZ/vcxeEPkj32zHxAOULWPJIIniJOiF1lspyR9mXPEiCvyRH632VLEaAW2B0hxUVnI5gJQIQ9AXI0sIhisMEiH0asjsDJ1YrgY5qup2weiKsGF1PJWCx0EbKzAgLwguk5xERHaMoajnWcxbenJwotSISVvDNkKGAqTTR45K8mVDV69cgIAGOkab8x89wKd4JV08XCMRYiiRPyunkuvRQoAN1ukBAxrRMJ/h4KstaJne9BilFIxMqmxqP05DbIG7YiKvJWOMH4nGNOitEFLOqFWOGZoYqMZFCXrKHdvc8uu5G2nWAVLaotLRx5Gf3W4wDszzx9ZrXO0RLcVpWIsizyL+AfZAYbo+IaEeYURLFPQ5IIfIJFZpqLbBwXjZLrLNQOoWqM4CuZnBIAYU4GUrmNIaR1699nGa6yEg6LouDUSbz3w99IZCQSPksShvOz3Ux0KZOeEpTl1XOxM1pZeJjz1+KaThXPu14QQz7/r408A+CP0998G8Cvwk8UnAPwd55wD8M+EEHtCiKvOuYdPczDSACDkmeeJ9FKMcDwS/7z2BYAt78Ye+lPVPX+QNG6jyrhNV8RcVJUSWEcWWngR24njFxE94V6l40HkacsdAgCoqWjR0TblQPGEc+3mGUYkpffO6QFWZPsnGgm9JlRe7jifTY7L2MZdp1FirxVoDugYRh2Ly04nG+yTh8mT1RBff+zNgaR0KMPLtImGPC5zQBDezS2/oOYwTrB51rJbOBBVpsMLn2Ydrk994pzpDvcJzVk1B2xrCOV4khxNS55c1rMCltqGLo1ITTjBL5DJDb9wZgA+V1iB9rGfLJbNAG5KCEptuQszSmocDn1tQisLSd6vqyqLfI9aRtX2QccpUr+eNDz2+xhkDZ6c+PNzlYImfkx2vMGGkJfOCJRU9xCd4NRVpP2Vyk9qACBiU8xf8tC56CRbHM42Y+6YTMcl78NVCoNHhP4sAVWGdFug9iUnzF8Ga5PolUY2c+9JWu9b7YZc7k0AjwBcpr+vA7jb227nor4bu/H/k/FtFzidc06I94Iw9+PdLur1VG4VHbe27eEs0h6Lrg+46jIR65LGQVPVtxkLGKoGW92DfvdMkp3qYeYtWLDEaYeWPu8OW2ST2DNn3wltIhBrVWABcjQvNVvXJQQYsmkUhH38pcs4CZHNXscruR436Ca0YrcSCaU7x9MVNgSIqs4KaCrQmYGFmPptRuOKxW+uj+aYJv4iPJqP0TyJ5Ah2ZndeGMcfpGXBG2iH6ZTEc6WNOIdOMfQ6RDlAjK6mgxJZgLg3GS5u+yUtO1XYfxwiRoHNdZL2v6Zw/aov0KW6Y2tAfwy02m4S1jgViUVGwDRjBDqCT4ueDaMoo7+LayTup77op4XFUPvv/uFrt/HOxkPCP7+5zg5pdZVw6G87ifGE4OrTEPYr7FG09tz4ApeGvqi6qHPc/4pfL9t1AUlZpM1tLM5qx0AwKWN6ib7YUl9/tYsFWactR7NCObQzH7mcneXcodM9t3TZIFIiHFhgaPAoRtYmA5qpeE+Rxbc6WTwO6YUQ4iqAE/r8PoCbve2eykV9cHzThfSCs3wb9Q505aITtAVrH1gtWP9CNY63V43jlqroFOyaPq+pNgLP62djn33J3y2PHYOc8kmNZhxUjySTf1xPKFUnJoJz1klsLXYi6ghQ5N7td/wSmNSyytHR/hqHpL49SmpUxn/htQeXOXdfFynL5OmZ4gdMH1XsG3JresFU7d9++zm4wF/pBEvmAfGB6Q46DKltCAANcRSUttxCFMLhglqOEI4BWEJapsaHrkfdaXz5HY8UdaVGOqf6RRUf3q6IpRz9OMWDpU+PxEGDwYHfX12lUWFdujiJKYc8KGE7gRWlQUI65ORR2h1KdNQpkhcJmsd+knz9ycDzhAC8dniJj/3ydIl5SSperUKaBYm7Dmvip9hz/9/kQmK+9JPP54or0B/03JEPXbmH9cvkW/vmAewkSB52sE/8vrMzCXqXkR5t2POkj/KsZzlEEOM10eBK5h23hidFhQf3SXx5oXvIY4eCyH+Dxy3qPTJOuiTZcChZOxiS3pOdQ7rYFvT9ZuNbTUP+EbxDOrDtlP6PAPxb1BX5AQDzp61X7MZu7MazPb5pZCGE+Hn4YuaREOIevBHyXwXw94QQfx7AbQB/ijb/RQA/AeANABsAf+5pDiLgLEwaV/stgV5BsuUA2kFcIWWPipstLLJzovrOK7iCvCaGQ9Tk+NQVPvwCCNBFK//wgYur/0DAFMRXaGXEYjjBIZ+8VCHLIiOQod3KQRAfQijHmI6wSibaogsuUwKseDRbDJhzUVUJTLA41BZi6f+eb6ZRPepqzbDny5MlA6hePzvGZuVPMH2jYCBWvR/Tr34qJjLjQVIAirRFS14dp2djPKaOjMgMh+bppEZK7NFEGbyy7wPKhhBib80OoR7RKrwS3E3oir7hteNisugEMoK/1yqFIor6eFRiSd0NO+6QkAhxV2vM55RO9d3PtcXliQdFVZ3GgnAv3ahBdUr2AiuF4QOKQqsRTl7xBdfi1pJZpaaTaNdRsSyAzZZLepYuWTRXe5gdKtp+cvE+tkDQVze4cegjDi0s3oTvVlRZivQJnWs5giLXsqZTLGokMuNBWkDEZdMImb4AcOWaT93qY42LE48RUXMdwYfGYfiIIpE3GtRH/hpsLiVbym99EOTTDOGc++Zb/R6P4eFN990/+e97T5Dw3tWu19FwSFZESlq0EMbf3NWtAaqD0M/0YRbgJxqb+Kswf0mivOof8PSwYm2CQdbg8sA/YJsuxTunPrSrFxlEcMceGIjQyqoURAANjdvIEVCO0xDXSH6IRS2jx0QeVHclcyEOD1b8kJ48mQCkZJXMJaMOqyPLNYVkpmJa82LJ9OmLTcH+qubBAClxQIQBauJ9uIMW471YxV9V/oVeXQx4MkzHDU8E5SbbUhoLfInJsMLVsW9FamFwUfsX9/ZDn/+7jYZeRE2F/oMJzpVdBHl1Ai5MHK2AJODYYFAjI+5E3Sm2ODSlhup5zPIxuii351xsZe9NNnyf2k5hdk4dmR4yV3SACd2T1PAELlMDR+lXIKm1hx2rn7WN3uo62h7pTFYBGQxM338GAHj14Am+dHIVgKeuh9qPm6VIqOMGCdb3yMZ17DaZKJ04GVa4IP0Ss0xYxjBZRiX48tgx/6d4JJDN4pFmy/AeGXRDhc//6l/HcnbvqaaMHTdkN3ZjN55qPBNwbwBMMQ+rp64c0jmFvMsG6Py02e1laKa0Mt5QKI8p1J1aCOp1XzpaMPsycwLnxJdY3ZmgDnDhPYsHez6aGB1sGPQiNgr5YwoXjwVsiAqUA0jv0NUqCndlEQKtxg2vZM0m5Qgv4ASQd2yFN8mryEI8TTF4EFOlrgcJzyh0LU4iFH55UzIbdXE6hCYwUdrzP6lfrjCiav7z+xfIlf/dVBpUI3/bv9xeRU0CMm2l+didAzI6zlFRc9V/lNS4kvvI4t5mD/fJvk89oBW4Enzs3cQyrgDSbS9LPQwF4zwSBzzwx7LKMyS3fKj93N4Mj7UPtc+a8VbEExSpAGBzHtIT76QeRii+6twiCdFKq7EmawI7S1ldzBYSN18+4e/eLYl6H+D6Jxql9M/S3qUlKkod6zKJXY/csjanaATOqcPzxTbBj970zs8HyRqvLX335M3xETakpFY8ElAkalQdaey94K/B8XCNhm6+sRKna+KqbGTEILmouzl+R2BzzR/P/EMNR8rJhUR+SkpqJxKjezXbBDzNeCbSkPHkhvvo9/87EM7BJv6p2lzS6LLYciyP6QH73iUOxhFQszj1IVl+N+Uc3WpAxyI/ysv0AA8t52jysObagJxrZOcxnQkPcDtxnAa43PB3ddGx96S1kjsQ1gnmgzgjoo9oSFm08xwI+Akn7C89iUZF9eG2xoClirgoDH8utYuErWUSiUidgCIiXJJGD4qD0Ybbrhf3powwdNJB0AQ43Ysh+3wx4BdxNKi5M7Kfl4zEvH/vgCepMMzIAmOiorcydjGAmIM7cDtEdIJBUDI3sPwSKFjyDRkebZguv17l3nwHAIxgib806zgVNEaywG/fYUpnHUZUg1DScffp8XIc0xMrIAj85MYdxgfUYQk1BeEYXKbnUV0NxzWTxMQ6+ncIIyD3o7pZRV0P54AhtYA/cPQYY2px313v47W7V/w26yjVJ1oJvYzPJ6u6DW3kuNQC+RldmhRb6K7Q8XAaaKg7bTMHvRR45+f+a1QP7u7SkN3Yjd34zo1nIw0RgNMCJpGoSONw8bxEdZVW1WkT5eCfFLj4POkaroFxQGb3uhuTx5ZTmItX0wjEKiwUQY3NIuUiV34iUTwJ8FiwjV597JCSibBSlqHG1gquYCc9Psh6nvPKBOXgstBKoWM/17H4nLhoayij8LDNomy+GnU9vAOiotJFxn4iInVAsFVM/QoGAHWjUc18yHzmhDdBBnwBMuB+DjpcOvZpxTBtUHXknDZouMNjrGQH9LuzPV8UBaDPEsZuBAGd9HjD16hdFjHF0A6ix3PY6mSEgnBPK9XzPggGfjKEovQyLxqU1M5yVvEz0bYKk1GEPl+c+VRTzhJ+JoxKcTGgVpgT6K76/SfaROCHiUVC/TjBekZU90P/+4eHK+w978EMj8+mSN4gEZ9lgfqSv0/ysIEJkvwbBfeEbB2WCYoj/yxlSYfZqT/G31wUmFC6eHNvhj/x3V8EAJzWI3zt/JL/+94esnN/jPmpi53BkeYuUzt2zKtK1g7pMoLgglgzBJBd0CVQQHWA9yTY+0ykIfm1m+7WT/8HaPYsV8eTmeQLlM5dlAzrIzxdlNLzQr70sRSoSOZsdQtop1R9byORS7Refg/wNYLwUKlaQFDYVh9aDodFF7sbetJA0gTRzLIYVhcdy8QJKxhZGV4adT96cHQjy3GdrCJazx43UFT57lYJKza7nqmP/1JALCq+4TazUORKbvY6Bn25WRq9NVPLPhl60HG60VSJT43CdaUQfziqOAwvzwqI6p+vvjeHlKoVBmhDvi7j8UrHKmOiEzyJitzE3+xZOYqmx9FwgsPxdFLHSWwZrw0A2D0ioaWWUz246OGBWsV0zQju2nSHbZy8OhGRkrVk4Fu8wAKS0qzRqOKJ/Hw2giE7S8joM3I0XWFO9bLNKuNnQ8+jG/v01XOsSz+h1OuUeSIAcHzou3Xv2zvF1dxzbh5WU/zW7Vv+p74+xPEXiMOTCgwek5zB3QssPugnmtn7FKZvxX1GbRc/6Xz5n/w3WJ/t0pDd2I3d+A6OZyMNoTF4JJkq7rEVAdYdwVSyifBpXQLZLJiFANUeWee9LNGO/WwqW8HFIdn0aMWdiJRz6ZiNpyqwr4UpBBz17E3m2P3MnuRRaT2JrEyXSCAoIFnArfyBhnQnO48Q8FJJJIuYhjBzdK1hz/33dCvYQdwl1vM3QKtnAHqdaKaTw0pkZ3SuL244bWlEGuHhew1Ty8tl7iHqgFdvCqleYbgbYoxEtQpINsBRQRSrhDkmiliyWEbhIKtjB8RZcBoiDODIhyQfNihJjFeUikFnLrVxCVSO3dGaTYLJvg/lS+FgaNWWtYCj9M86wFE0ONgrGR6+LjN2S1PaQlCKljxJ0B50fH7sJTPsuAvC6maF8QVl+LRictWv/K9ce4w3NVHF3xoyWOvRcIAf/+EvAAB+bPoa/vMv/aQ/j/UIe6/R73z9EN2/6CORm9fOce/RPl0zgYIYs6s2w13nP781OMe/94d8V+Xkuyb4Xw5/GABw9BnBpuF2PMDkqz7fKJ4M8fAHCj6P4QN6DmogKe2WbeQ3G89EGjI8uuk+8K/8DAB8Q2JLlwt01BkbPHZINlQjuKI4ZzMp2AwHDlDBytAQ1RuEIgyb9DQyhAGyWSCbxcmoHVt+WQEwAk+XAu2EwD6T2CWBAIOu3FqzJ0egtgsrUDz2m1ZHsaptU2yhGsOwuY0he09kVswSpDOS27vS8Tkl+xUKesmbVm/Z6F3aI9/VKsNyTg9PK3tEjbh/nRluyJh5yt0T0Yq4+TpOtuZGxdfd0gQJFXUoXKmY8+BSux3Php9NXKScX6Qx9FfY6g4FvoTOO3RVkESXMcUQ4FRiMC2xP/T1gGHSYEFerSdnk2gStdzm84QFwWm7XVsBfDrV810N92Q0KblW05coePJoyt4wLrV48UV/8//dW/8U/+mXPuE///QUFWlPJHOJ5sif37WXnqAkLYz5chB9ahx4kroyXmLdEg9GOExIvfz+fIq9v+FrIvnDFebf5Vvc06/OYHN/f558eITRQ4PP/8pfx+piB8rajd3Yje/geCbSECc9GElsqVeBV2zVOkg/mUJXlnkjVgP1HmEYOsGw3L7TkpORku3kNr2dBX57K2Y7dr74CB92iqBi1AqOVuoDC3eZcpWNjiF2I5ASsGj40IEwPTDU207n4AiputYh2fMrQbeIRscYOkhSxFLKsQ6jTA3Tl/VKoD4KFVnHkPTrh9FZ/Gw9QEsr0/dce4h9kvP/zKObzPVIhi0XartOMVagKzUkcVKEdJzCpAuJZOmPwVOcKaTt+aaUIa0x4ht2PSDAaYWsYpoF67jYqSsBVUUBIHYfl4B+5PffTRSD5FDEjobKDAztx1qJGaUqZaKRU0HSGYER8VDcoMbqHlkEbCS6kJLYyAUK0Z0et5y2iUayi3ldJ2yIXacJXrjkAQ+XXlrhtc/4YuTwjQQP79wAAPyHH/g38J98+P8EAPzIR97En/udPwMAePj1Y+QkYPN4fRnpS75TZVuJZEb3ZmixeOS7gYsH44iZGXYR1yMdNv82Ufnv7GN0h/7hA3vY/+QdAMCV24/x5Cde2nL3+2ZjF1nsxm7sxlONZ6JmMTi+6d7/r/7MFgNONhF7kJSOo4nyUKI6oOLeCtAbQmf22KhOx6KUSRG1GjW4ZeVUj+gk4ueyFhGXoSKEtr7RYkTFtc0641V+y2XsVCF/QiSwY4d24lek4T0qNE4dRt/nVx0lHVpqSc7ng4g6tIIFb6yVjDKFBVJaVc0LFTStktYKRgNWTcLy+8tVwToXWdKxsnRTJ5xfH+0vWSNyPhsA1P4TXbRVMGPDNQB1oTlK64aOP3e9ege3QLXb0i+VoWahY6QABy7aoot1B1FGhXMz6WI7M7FMuINAbK9Kx8ZBUlqOdBJt0ND5VWcFxleIOLjOGRUqpEMTlNIrCbUX2t0CZh2uPZ1HZqIBVC9yEomFC6bEJhLipuP/r71vjbXsyMr7qmq/zjn32X37urvd7e72a/yYGeNhsGdGwGgmCiFMYBBBQggpgiCSSEQRoygkwI/8iPgRJQGhREKKRBSNlIREIg8UBZGgCAVlMAxjxh7P4Efb7rb7ce/t2/d5nnvvqpUfVbVW7ese+45jwQWdJVl9fO4++11V6/Gt7xPciXUao9d87qDcURg/7I/z8OVN7E2893P/4j5eePUBAMDqVzJM18K7dFaU5jDVrOtqS8Kpl4K3OSHGB7U9heG3+2fvJhlMKBPbUy0/n5UXcqy8VuP5L/1LHO4fL2dxIsIQFSGpKq0DSzjR9BXfCGcUQ7mzMaE8JN6+DduYsUjLKau8NB8AJZSTHl6dQGIjpiMfym93P0Jo1wKkeCB9H8Y42OCU6UMDF1qxm2UHW4qzVoWE6PRUCJsuTNEGAhsih3HoAxgsTjENcoRVr2bx5CyzsPERkYK94mcue5iDFsI9yC3vBwCG40jP77C3G2DMwxx5gLPbVVEw27y9Ii/8VIsgc99BTzR/zy3tTSKsW7gOzNwfFAwQU4YYVwANwVykOhmVFcr/WqQLsNQy9BukoMK50Exz1cpP8OFkCgcXQitbZ6x2P9nq8zXlhxqHLrRzr9QiTjzTjJ1AISFMCidPFwZKQqtYPfLyEWHiLB2Hc4ejCiZca1U0KB/0YcV4cYDetSCW/fpFTyEAYHtxBd/+5BsAgI2LS9iNJDcTg4U/CbIRBpieCROdk8XSlgq2lOpadj1UmR4dohn796C4nePCs56Lyl7SuPn8OTRfm4chc5vb3D5gOxGeRbQ0wekyCR9sIWLI+Zi4YUyRhBIuT+rhGswMnjJ9KwvoCNnOiPffv6WwcjXU489mmIUwx/VaDFb8waaTAofBXVUjgzyULuvTlpu3aKvkZJJywOGn/G+fuXwNAPCH1y/hIHS9QhO7hG3fMJIywqn9zjWymNg63SIPfBO21IyDmA5LvkCaZMIl2iiU4RxJSTjlcg0XSXw6IZd4VCkPqnKK6eig0SljvsNyKTdSrQXOngsXJZSSpFytBQZuwB5HVrZopuLWx/ukWzlfV7hOuZdCmKNHBq2NHqbmBGqzbAXdWmSMRIVVUu5NxI38TkM4E6j2ULZe/xbwynGxnG0VyzTo3LF30owK2IDGJQLK8PxWz+9jr/EhycI1g8Vr8T3I8McDz0r53Y9cxXrgW/nGxlnQjdDicAjYQOY0W3U4vOQ/D24SqrtJmT+Ibtvbi2gv+/tar7V464/uD/tRoGU6qlbxrnYyJgsVcggQ7IMtIV2eYyHCSS/OGaCO4UnCsuX3EXMTUukgI9iGhbeA0y/6eGbr4wPc/lSg7R8Qd3rCEEZB7UtNDXNKtj1CfV94OYYG5Y2gWbFE2H88ME+tj3Fpxbudt8dLcvJhAJmllnsIaK9AE+PyXgsE4A8VDvacj3/VXoFp0LqAU5jshtjKyU1RbTKwlUITcCeudEmfCnhQ0kQEfamSga6skNKAwIPVDpwQ+uSOcREUwTGpnolVMrFYgVFDAwhev2oEQq+cTATtLOvqwUSgmxKglyoE35JOOmSIQXC272SyXbZCrLSfcehIhRNsS2M69ymGE3VUlssdqmX/PJxTaBvR+zgVcCyFsdja9QPbWs1hSzPLpHsV4LzG9IxDG3hCqy2N7JoPH567+hFMz/sb9ejDtzH7rJ84dsY9NK/7npXlVzXWXvIL0ni9wOR04DytgWo/3LND4V8lk2F8n/9cn3IodpMW92PYPAyZ29zmdiw7GZ4F+f/ICIIz0oIBwVNg91O6S9NZMRuJ96GcVFJs1UVq6jDTn/r6GDoQ6uw/3uL8g76bcOPOMhAFbJ2sjqnWqb0yYYq901/KUASqss2/PsN3XfEJqp5psDnxHsXGyK80rhUX3E4Nr8SqVgyjpsSDqc8KtsKszQSmvVdJUjF1I0mg5WQgFPNOpAtUQj1PmqBYTkxBJUzR0uSmoYIXbnMSXgqr5O2J3kbSUUqG+B6l4WL8G5970tzFUGvSUmmxEA8lBcckxDlodeJRIWkAk83zPem2hROkrO07gbkbqfBAkXhK8ZoUoAIaOMscdx5DEXOoDhZq9GJ1apYLPyspTsJCgdm6jXZo7vdeyaToMz+FzQnlpr/Br1XreDeI3JgAACAASURBVOyBDQDAs5eu4foZn/j88vol9LZ9Qnvp6iGgAv7isuYbHvlt43Ejt4XdVpicwbdkJ6J0Oli7SI//wBf8AE8eaPxsi6RyoQDdRGi0TC66lcnD5TJZzFalO/LMCw1zc279jQmurPky5lu7qxjtB9z4VEomutbIAgipeWAGCvoVg2sZH2v4SIOLl7b5WkbhpanbTNq1Y4/GQSlU74sNBos+kTCdFGhD6IGcYALYx+0VzP7lxhnfA91rxQVPsvNpGbdT5ksmvQ5YKnNQcVCOjQya0iUCwZCSZmE9ETHgJ/c4iNJBpe8xmEn2kYpT89/ib+NxMsdqYLDJs9fEnbRKQYiE6qTMlSfnroF7xq+E7mSb7D+ayoQoic3J7GNyx5N32xrU+9I/s7IeFNXzFjsHfT5+nESKzHLb/3SW4+kLNwAAdyYLePNmQPIdSO+NXbbI70iYXJ73pDynF0e4ve1Dkt5LPay9GNjQdmvsP+KPu/coUN31+yl3qBOq52OHr/2vX8FwZ951Ore5ze0DtONIAfwbAH8NwBYRfTh8988AfD+AGsDrAH6CiPbC334OwE8CsAD+HhH99nFOhJSICvkvxDvQlrijTjnJ4GoCu8ik0Jn6YjWkuktYfTUkCVuHqz/mk4Q//NBL2Gv87Ls9HmASkoeuAlRk2j6QCVdvF1j9esxaA5N1v8Ksnd9nFa6bu8vMLO2c0Op1BHNCTX91dYgrKzsAgK984wrKCLh6ZIx2PzQHLdfCDZokD6nQzHnhkHgXiRudVy0rpbkk2UjQEloVjvlDbZ7wNwBJJUNCD507BjO1s0y4OyL2wSQALUPvXJl55+Ef45hNGyppJEu26XghmoQEKVGF69JsJx6KSvhPFUkYAIACWMurchOfj2TDFVMnsmXEzyPLxXNbGkxxN+A2zGaBg55PPj/1wA2cHXgv49Zwidnc7+sPsT0Z8Klvjn348MP3P4/fyj4MAPiTG2dhDwQ6Hz3Z5Vc0xkNfUbt5nzDRF5+6i+uXvJdx5g/6WPuS5xLtb65i49mgKFcpVDtys9qe5jF2HHvPMEQp9d0AhvCCx3Gy+B4A/5uIWqXUPwUAIvqHSqknAPwHAM8AOA/gdwA8SkTvmnNlBGfqnSb5C+UkxNCNnzwAPyHEFtu2p1htydSE5dcDNXymsH/F3/SlH76FR5f9TXxp5xxu3Q6KsVPDiMFqUzPoa3jFIQ/5g+JAuDzN5SErWm3vLooUQBoGmKRmG7PwVYuzp3yFZGtvAXQtaFc8tofLq76l+OtvnZMBpBNgU7o/Q0ySQk7x9sq4TpjAfJWGuMsyjfspmdAA8EBUmeuom8fKhC4tlxFno8ITyoRjxfMVVJ0MQmgkJL3ohhuM8uyGJ3wdTvlBHM8x7J+sSgY2kjA12YdCIhcg1wGT5CMUuLdG564zoWTVO+W6IsjKWoUsPINeWfN5Tesck1hBm2ksXvTPe31xiK1DP8ib1iALpXKjCPsBPEdOYW3db3+6P8Kbd7zEQjPLoO4G0N6W5gG//GaDwwv+3b777VKpWruwh9Hv+3Dm7B/M+NyHFwocXoohia84vvHFX8Jk4wMKQ4jo/wDYOfLd/ySi6Ac8By9TCHgV9V8nohkRvQkvNvTMcU5kbnOb28m2D6Ia8jcB/Mfw+X74ySPa8VXU4yKhu/8CoZqReh0hxNAtHQFi+c/9LYvy+asAgLd/6kl8/sd+DwDw2zcex++++QgAoL3V9/yV8N2PkYq/2iaefastjcXrfvXY+ssN1td9V+f6YIjrgb69HeUeEg0PGmKcSM8B4TwjYGd1acwhi7o6YIWsx79rA1f3Au28IaiwTazjAz6pGcWIbW1khZ0aXmGpAChdDBlkpSRhaIhdc2q13FZN7BXpjOAiq10CzyZSqIP2KhrN9Hwdr+FeCUtNcpwkcQ0Sz4YUxCuzChTcAJ0kGpUmqIifUarr/cRdurSqkhyrY4R3JDPh+0p06e71AwBAW2dwCZ/FNIScxjgs93yyerU/wZ3gNRzeWsTwmg8N3CWF2UyGWwxXtXHs/WRbObanHqx1uFbi8bOe/2K1HON3X/qQ/90khwuwbjPLsfJaSJKv9VgWY/utFZRP+fDn2rk+Hvmi94LP/O4dTH/Ir+vjc4Rq+1gOBdv/12ShlPoFAC2Af/c+fssq6vnCqkcZJuXSlAQnFW9t+1IK1a0PPwCgf8eht+FvXLNU4OrPPuE/r9f4Ty8/DQBwN/oMUOkfSpZ9+Q2L3oa/oTtP9Ph4k3MW4wf8Azh/dpffu9e3TzPAJjW31ErcnRLLBNt+awWT6yGrfc5h8fO+HPb733iY27apsshCT4LOHPc5AOKCm8KyohWqIxWKxDXvDKZ7VDGgINyYmYOqQnOaVYyIVLljNSzntAdGIUzY6SQBAJq4bRtKqiRkFZ8jKcjkRpCcTDJ4OxWeJHxwM8P7UVkSckFyGf4hSY5IsZAz8b1RmgThq+T8batZEd5vH3YTzq3sNRw+KEWslDaZFBhwA98A5xb9QH3iqU388Q0/OIebC0C4Nzp3jBpVtYKKC54BN4nNsgrbSz48+eSpNzB4yu//924+iMO3fUm+GWgcXvIhT3+DsPC2P8/9BzPMZqEvqCBc/VH/efnVBSy/GUS/dzSG93cX5fey910NUUr9OHzi88dIEh/fkoo6EX2ciD6eVYP3expzm9vc/pTsfXkWSqnvBfCzAD5NRImcD34TwL9XSv0SfILzEQB/+N479P+lVHekxbuwhYQeiogTkLZQ3PPQ25hCf+VlAMD1f/Ft+MTT/vNzX30ULojpRlAVADQLQO+O/5xNHFwQBTYz3/oOAONM+B+rrMX1LQ+GcbtlB/YcOR91YUVsZiYMzhGfsXg1E93JZw9x5yD0iVjF+p+LayPkJjButxmykEGP6leAr7S4oFClMxIlMQAmtOo6a2CHEYQC6aMgSYh2aPmVJBWpUZKUzR2rn9mZgY7Cz7l7ZxiQ8sofCUk6eXRKVvW48hvqVjeip5B+7wS6n7KBdzpBFeTZQK5JaQHtae34fSJS3JdDBBEpJpKCTFS3y1tWNcuNxVLlk4dbu4vYPfTv2CP33cF26PIcNgVcuNfZnoEKz6xZa4WdvZWuXsqJ2dHhFDbu+hDmN+y34XMXvg4A+CdP/jd8YfgjAICl/1vh4CF//3YfrHHhv/j3bP2rFtc/5/ezcG6Ih055PNEjn97Cf//NTwIAzj7XYP+R7FtyF45TDWEVdQCb8CrqPwegBBA0kPAcEf2dsP0vwOcxWgA/Q0S/9V4n0T9zkR77oS94MtcENJLS/kftg2wCbjlfuGUxeN1XEXafPo2N7w4vXi1088V2xhycZiolqMVrwGDTvwSjdeEOGD05Aw78TV+9ssvlx73tBd+KDAAKMKEE2h8kVPkHVSfjrgM/RCTRna45nPuQr8bcunmK+Rmz01MsL3qM/6TOGcRFTnHzWNuaTi9Cx+4h/qAAqdIk6miUNGN1wpDCcdXBNUbAR4XE1G5mkioCyYtmjkwSgB/McUBkdM+KBggycZFUJUAyyI2RySpei/9Xi+I4KZ4MU/0ROMX5GaWSMEQRM4QpJeVQrR36AWiVGcsC0nHyNpqYqLm1Bv1S4uat7aVwfLkVrtEclipNLJ5sxlr4VweJbklpUS34fS4PJnzdi+UMG/uLvN/vvOhRwtcOT+O1l+8Pt4BQ7EhovOxTdhheUJg8NONzWFgO6u0vrmBwE3jlN34Z463jVUPe07Mgoh+9x9e/9i7b/yKAXzzOwec2t7n9+bET0RvCJB4KjJVI+zugxMuwlWDdB6/eBXb2AAAbn1nBow/eBgC89tIFFHcy2fcwdIv2iUluFm7W6D1/HQCw/yOPYPhQVP4SpbClaoatECqoiWHwkes57hgdq5L1TdEorhDo3DGoK4ZN+dkxphEMlPRiQBHGQQdzMio52VdWDbNT708q7jPIc8uhh9bE39ezTMKgzDEmwrZGSF0SuLWvUtxjUUkwDC5dqQEJZ5KwJRo1uvt39ixcB+fBFQ0HRFeMEo1SBlIhJFVTxyVcK7UJzkIJjkQdwZSkjFhpuBKTllo71FGDFIaFgwaFhQ1M3dEjmbWGeTyNbnE4qcJn570xAPlmjjYwpFHhoLcD2G7BQS0FeQXkAmRT4MRyXgkqcTQr+Blvby9yKKv6LZ67dRkA8INXXoR63G9z7fcuYRY6oRfuG+LA+RDm9EsO03P+t8sX9rG24KHig0/v4NXfeeiDBWX9adhg7SI98TkvBSCoTQk3KOFRWHq7Rf+qDz3e/v51jD7qkxZqW9ii+huCUoQCq4/rBli8Eejbr0+w80TAz392yn0G62cOWK9hezjAeORdRzfMu+52dN+dAsUKgAaHKmakuQ26d84nQdrWoA4ygrBJaXGa1onBTWVphUDnjsesySy/7G1jmCw27aNIB6hrk8oMoTtZpPF+AoRigFYnZwBpMMtFPZ6p42rdIY3lfSh0gGApoCyeozYEG6snrisqnZ4j51g0de4P5yaUqKtrTRyKxX1FoxBemsyiCKFeph3qVkZPHBoxLLStYalKR4rp+VWdhHYaQvRrhEJQNRIam4WWwV80NSzPuLw4jtV2rPQmMGGFHNYlbr4RSutTzfQBlDtcftCHtR879Tb+81c/BsAzYtVnwsSTE4pbofJiFerAtjZYnCI3Fq9+4dcwfu32scKQeW/I3OY2t2PZiQhDSPkEZiehmYO9g2winab9V7bhFr1HUH/HELFG0KJAPgyus0lacQvAhM9L1y0W/+sfAwCGP/A0dj8T6OAbDQRFq+pci7dD1YMc4AL1u15oeFVpJjnzQuqZhksIZOKqYiYK5WVfb79y2gNg39g+zW66rgQnYJsCKln5VYB4pxqodsFy5YD6PhQBvJveqS4k7jglq2pchTuOZBpKJN8r4ziLqgxJV6mR/Zikj4N7KArATiJGP8VKdP+fYRCZ9GtYSsIdUoC+R8IS6AC9pKs2wWsoYq8rz1sQySuutXhCbcRuOMUVp8w4+Ly8/7yz76saNvbAZIQm0hc0inlK9UyxF+mWW0SlIjVTzHeqlyxsxK4oQt4LYlBTAxswF7v1IhZXfMw6rAssFT4xeX5hHzvr/p2f7PQS7wq4HrpU7476+MjDvnv1a+oCe74funwbr9Q+Cbr6goFufehkn6rx9NkbeDt7J6T9m9mJmCyAUCZNwg3dxpgWWH15BHPXu/Kv/dRZ0EUfx9udgqnSqruaJ5tYTgUAKLAM4uLVIeyzHqy1+YwG7QW8/dkRPvnYKwCA25Ml4Y2IbFTwLMkuSh8mgrx2RRTBik25neaxQ5xe8A8+oj2no4Jp25yTiQA5gWKanURG0PYT9GKrgDa6wxrcbJMCoUhxhcCRVDRgVRcfFisK7kjzVtrXEr9qdMLSrbgs2SYAuhRkle5LJbmHDmIyTmiAhCcJcEsZ1wWOpWFIEs7wPpMwR2nHgDVrNfdvaO3ulZ1B2xgchLInuaQ6A0i1JVaVmuTeaM9ABgCUK6HYI/BnUnJNziqmHiCAF55T9+9hL0xKbmqYjfziyh5u7vu8w839Za6E5YsJ2XAj4eLh9gDfCCCxBx/YwrUN31dy9fmLMIFtbfjpKdo7/p3OXl3El+oHMZyV97gr97Z5GDK3uc3tWHYiPIsoBUCJzqhuvF4IAJiDKWYXg2DshanXp4QPAcw0yXAHj0rXkBXZAutf9uGAcg5v/O2w8rY1ilves1h7ZITnbl7yxzKSHYemLjNUhAQUxOHEypkhE5nM9pe8pwHgO87expt7fnaPNP80yZLVPmkV71lx9a2sTFDUJZBN2auY6IeYJUoVjvtdqNHyW00SZpDqEtuw648EMq26rj+Dq5B4EQImQpLZZx2QVBUu1djQJNUjkv0dxY68A0uCkPjMJCEaqwUpbiLLBBdijGOMRJFZlmEAvI4H4Hs0mELAKXkOTZIsbiSZ7SppwVdpcjhomKTnRaQ49ECtJQwpHFrlz6VaaLF+2nea3tldxKlFX63oZzVXctZ6U9yaeS/DZA5t9AbHORAqXlnVoDn0XsIb19bRXw3cnEsZei97b6J+bIKF0AVbv7gCu1F1eFPfy07EZAH46oeeEeoF/wCWr01RXPMMVK/+9AXgQgg99grkQTQlGwqCM813uBLMc3H29w+gXvEl0jf+0Yfhgv9sSosrn3wLAHDrYIkHtJtkngwW8DE9k9JqnjjMUs0v/N7GIrI9fxvp/inWVvzD/vIrV6ADuCtmr9Wg9Y1fAFBadksXB1MG4IzHpby8SCYOgAecs+Li60w4Jpw1nZezw0nB+yEBXPVb6PC5nWWC4ExCJJUlxLxJ9SJtje+AvJLWb847IAlRkoY1Sl9URSxKnJpO+SYydMqitvOiBzayJN5KW/b9OUipNYY5rtECtrPdGSrmJKJRSQK6I6EnhKEkvJQFRimhElAFOiFULHfvj3t4INATfPThW9zouHl3mUWibm6v8DlYmzQFVlbudwWYQcPXFPd//oG7uOV8XqP3cg8j34+G9e/YwuadZSCyrh/D5mHI3OY2t2PZifEsnBFAFgBke1McfOy8/9u5KbDhs7i9uxqlx2FBWWJ2rXpJ3EZSQD9oKJg7+9j8Ec8+1Kw49K56V235OzcxbX24MR5V4vZa1cEVULrqxNXDEGMMymtJz8aDLbLg9qKWMCN6B4OlKcbaH79IiFUaa9hdVorgxjlfiOoL5iJ6HLq0qAKfYwrKmrVGVklDXb2PYMo4XsG1IrQhu08znRDvKjl3nbjjhjgxZ1sNiqCytKcj3scO6xVBJXHNPRmuIMdME5yu1SJNaAQa7Uh1sBWybxLgFinf5xL/loRl6fOWcz6Co2H6g+ARlDbptBWtEJO7FNaDNgCoiHzIAQBlWWM5AOyMIoxmggtqAhDobHmAehiwGxOD/XCsompQh6SmzgHM5BnHc29GRQeDEr2o/XEPZy/5row7S4vIr/qQZAtA1a/fyQb2LnYyJosQOw82LRa+7kEmr/2tc8ge9rkGt91HEZrATIMOg1aUNUwZwFdfbtC76X/7+k9e4L4SOKB8xpcx7+4tsEtrD3Ih0s2dJ+2N5xVeyP7amPsGhpMS0+2gzn3WIVv3L8FCWbOmaH99xKW62dQ/6OmkYNe7ppxf9tlId93+kGXvIB8hZU6yCpNDfxxqk6pKRvxboEspx98pksawJPOvKtsdTEmDVzSTWS7ZEuUe3ZlaGjIodIBxSPILPJEYXz6NFqtfSoPjSjoaGiQ9JrFvp9PqbggMNKSkumGVPONkUlMWEk7oJPewYOXYkRrASKmXGs37tiRsXsoQsjCJ5IVwkDSNwXbQE6l6NQO9mjqDDfv/rekTOHvehyQbb56WxclqeVdnQqwMp6CDNmtaySEC67fWrUK96Id5vz/DMIgSqa0S6lL9TZkP72XzMGRuc5vbsexkeBbk/1t48TbsWiD2WG3R3g4clZuGww1nAB1b103qLgPFfgDjHDbY/YhPCs3OtqwiTZXD+kLAa+z1ZXXpWVkEU/2KnuVk52yWB9AOMN2tUG0Ede6LNa6sezfvxt4yrxjGEIO1oqq3MQ1c5fddz3KGIiuTENG2kkjtJNwIkhh0SlxRBdm+USzJqAxxP0hKROvi7xGATUaSl/ci8gXACdQscxyGUFJV4dU4c/esdCBJ9Omk+7N7bxzfO2c1exCkVMcDSo8fiR1dKzBzlTmuRnjcTvDGai30/0juGSArNSXYigLoDWKoF0JaRVz5auqMPbSjZD1l5X+31J9y1eXQVsw+VtcZt8KTkwBtsRS+zKeevI4XX7zsj9UqFEEJrbFaVNNaxT1KamIk7CwlKQ0jHthsluO+wPZ2uFhhfHuBe1qOYydissjGFmtf2cXG917AzrPe1Te7BiawWuVDdISFWCukEY4CMwVOv+BvxK3PrHAJtrqhUa+Ehz1ocPWWV1ahSSaDo99ChX4M7BYJp4ZQ0NlphoPQg1Hdyn15Fr50ev2uL+s2SSNXo4B+aAeuQkPSeFoyYMhZBYrNXUkIpfsC8koHcFZYOBvLhg56MZbnwJwJ3T4IeD0NxApCMjjihJKUMclKzsJkTmJZUozWNMZhFsrKjNQEeGLR2oFUvD5xnZUirrogbRWHVEmcUwnCUgR8iLoVEGFP1xwicZ4oGFeJkx4XAMwZAo2k4U84SNIyop0ZjONkHqtgxvG9yHKLNt47aKYSyDNZeA4nFTN696sZpjrcO6uxuuyrZkUmzWOZctiZeIDYwbRifdjeWzkmgbeiHNSoQ1hrBk7yI2nVzCouoZvMce+QazQ2RoGkuo7Pe14Nmdvc5vYB24nwLNC20Fu72HtshWfxYlco+XXjKx8AOvBfWyqYmf9+5dUxbN/PuG3lsRYAYCZAcdHP4gu9GZYqD8x4a+sU2jDjkpNKB5LMdiqOCwKrYTWLDvmTfp+XVnZx9e5auAyS1akQIpXYll5PM7hwTFVamFDpIJK+hSy37CHYVjOZilIkFRBFvJqOp9LSXvUFg13PclDismv2Giy78m0jrquuWnG3kxDEWqDgtmyHScwWJwCs9He2jecrCVadJFiVklAiS7pnnVPscRSFxWwqYVaahIuuv2sVdHh7i0r0VdKQJcUkUKq03GhOuGaFhY09OsiEvDcjTrhSkkDuB3as3DiuaDinuLW9XzSYxOdNij2LXt6iCaCwzDjct+AT8JVpMGwEcn0w8onrPLe4eMVTud0c35f09iRYl+S+dHRaFLHXVZQtexZEXo4CAFymceX8NnaStvj3shPRol4+cJHO/YOfQTZWDKaqthXnKUhLGKItcQhgS2D1Vf8/kzM5Nj/hv198UyML6M/xXznEaujRGE5LfnEPR5XE8VYJGtAkrnmtOwjKhTf8TR9/dILHL3iy3dfvrKEOrM2uln6MaqHmfcYXuJlmklkvLLdS29YI560S0NSgV/PgmNUZ9zkY7TAJILK2NjBhUBZlI63rrWEX37aGwwqlwOVS1xgeHHnZyiTSarjwYmsjFZCmMb5EByBltkpZrZidy6kOyCtteWegEqS6QQTpeSDpo9Da8f1wTvO5GOM4DEivTye5CCJ5rloTh4BEikO3VAwqRYIaI/mZdH8SNunOvtWRihPgw6NxYNuyrQClXG2QhUFa9Wo+L2Mcb9O2BmvLPr9WZS3euLbuz7FwyELI0+xVUukiBR3Inatejdk0TGRWcV4oJSSuejWmkwI3fv5XMX395rGKIvMwZG5zm9ux7ESEIVnZ4vRDO9j/2mmm6jczYmkAWwIu8983PZkEq21C+fW3AQC3f+phuFDf7m8BNgggT0cFtpP6c1zZbconmRGy0DI86M94ldjf73NSjEYZepvBW9ku8VruE6W2NTxz140k9bR2zM2pEpdXIL+aVzelCDZWAiAVgsYagXI7xZD0qlfzNimGwq92TvaZgJMiqYoxDi0ktEKyqkWa+7rOOh2kManYzrIu6CvuPza9ZgmZTUa4p9NK4tY7q9ByxYak+mMVbDzHilDGlbQBr8K9skUeJC3HqZQhxIMASbdt6n1UVcNt6bNGBKyrosFC4NW0pDhsiKEEkWIcjbWKFei1trw/z+kpFx67RduZ4bZ0Yxw/v17R4DDsM/WE2trgIDBxLS7vI7sbCGwcoB8KgL7SMp0B9QQnM5vlAvsnBRQRPCZhX6ZdB7NyHDsRk4UdZxj+0Rr6d730IOBZtlkt3SkWd2mh4IIn3N9qsfX9D/nv+4TTX/EP5uCywvhxn5vQuUMdEZFTI2zSo0wQe0XL7v7hsCduby0TSv9GhjufCm7eqSm/BPYwByKXqlPs1hvjOI6dhRi2bUUQyA5zKd0WVqohmRDUjvZ6Uu7LJDyptbzgcbABQNPqjlsqauIEm4UXv2qF4SqXEmk9yzEdlrx9DBVsYyRvA/h+BIQKwRFdlJRjAugiNXWK6EzBWvGrVqoxaWu7nWaYhGdgcgcbrmm/6XOYoI3jUAyQ6pAjBUTglgNMOLnpNO8wZQ16Pg9RZBajwKLuQw6/fcwptI2RnEkjjXTNLEv0RhyayIZGQLHi971yasrvg9GO81iDokYbQw+nMRpWfO8moeX8llqCOx8Y4TYqUFiEBstTjE0gFc4tmsC9YqcFs2+5VqMN1ZNyUPOCMJkVaI4sCu9l8zBkbnOb27HsfamoJ3/7+wD+OYAzRLStvF/2KwC+D8AYwI8T0fPveQzncRKmJsY4uByoF8OqoH1XKgBQBvQ3/UZ3n8yx8Je8xJv+8jr6d/xGBw8ZrK35bPPO3oLAnhPhW8od0AvJssLyKtgfzLj2vTMT+vXxAy2vEllm2TVXrQLdCStJ6ZgqfprnnCSMNXiQ8v0NAFxlGWeREq44QPpRktULIE62NpNcVufmiDcRvZVW1MOQEXdLpiuiNsRhTjOVEEP3JUPuatPxUFJi3FgtYLxK6imQhF/k5ByVSmHdJECzDlWXYDfIWBZ4tsn3rlVowuqskl4drRPpgLQDVSMJEQk23JBmluEghova8SoMTVxd4lCiMQKJr7vrrG3FizKzcE0G0Kf8MdcWRihNkHVwGpPgwexPKvZgyszChWNOpzknSocHPZxb9w1Rt1oNHe7Z2sIId8M241EpHlnuYCPB79QAMfFZNPy8Z9PcX8sR7/Dd7DhhyL8F8K8AfDH9Uil1EcD3AHgr+fqvwgsLPQLgWQC/Gv59d3O+xEkacCEO1ZY4JGl7ikl3116cobjjy5Zbn1jG8LrnjDh1A5icCoCoUy3u7nhWbjfKOfTIei3KRT/gZ5mEAbRVQYcHPFzOuUFIaYI+9Pu88NRt9HP/IN/aXYU9CC9V4UAhLNK9NtGmAGyg6qN+OA4pRp8qlQyPRMuD2kSJPXfsmuvMwSWiFCx55yQ8QdKSTa1MECnKM9UCdRnBIeZNAJQSm3MDFslv0zwF4GQi4zyQTAo6T+UFpcdFKzmmS7RF0nItOXDTXNlr5+v9eQAACxFJREFU4CKFoNUCPEt1Uq20q1udkAYr4t4T1yq4QMarMxJS35QouM06zGGTg4ovNV5/rGJki5Zd+LYVajxogl2QexDP9+27Kww0SysgRWaFnmCWcxWjrGrOORXGYTMIDmWlRRuOdXN7Bb1+WMByC13G6ptC0wYOlZ7lRWbv1hKH3rpqA33iBwjKupeKerBfhlclS4/2eQBfJG/PAVhRSp079tnMbW5zO7H2fuULPw/gJhG9oLqURvcDeDv5/6iifvtd90fCciVutHxOFdLLWwfYfdp7E2akUO76jZbfmOHmZ/xsunr2AHvBs4AWoFRrc1D4WmlwSNCeqkXybmqAwMRFfYvl1/zXW/vnUT1zN1w/ceu4d+XCeVrdnanjqhaTkIZEHk/72R0IwKCYlGt0VxYwnLtLk5cK7wTkBGNB44zEw0x5NDPHbFPQXVYnDgmsVDU68gepkRJIeNxGqY5by30cKQo9xXgfTZByT4fiCkvbGAnjAPECUsUzQx0+Tg4VrIaLMU/nWgXT0emJMcSJUgKkogD5O1cxEjUypQh1zw+l2TQ/EhbK/YvcrgvVDPsj4XctgpfjSBTo+mXDAK22McwXq5ZrmP2A6xkZnH/KA7cO6xJ7YZ9NXSAfyPk1e34/2b6BC+p8joWlP9gwpGNKqT6An4cPQd63HVVRBzzwKiIydQs0wX03NVDt+Id4/QfPoPykH7TZrID5ks8r3PhsAfWQD0+mdc6DplyZsi7E6LCCjRobDqDgZeok/la5YwLc7O0Kux8Jf1hq0IbsdLNfCvOUQpdJKtx82xqYUDkg8WwZnOSmUhmpp0mfSmk5x+JJaePsSYnbn+Q5dFJyTBiuiJIBdKTNPcb3SglHhm8dJz6U/ADd6kVyLSxolCib36vXwDfVhftidaeRje+LA/eVKCV/c05xiz8gLe1krEzS96jKIJ5JvBinulWdOGGmvSMKsHEbRYzY5d6YTMKK/WkfLuYFKsvbtDN5rmlIk5ctV0OqrMVe2KaxhnuHeopwGBaT/cMe50rgFMwpaTJrV4PE4k6Ot3b82CnzFuOdGO8CxSnhS3FBapOWau4X8hUk2ynzvpe9n2rIQwCuAHhBKXUNXin9eaXUWbxfFfXeXEV9bnM76fYtexZE9DUA6/H/w4Tx8VAN+U0Af1cp9evwic19InrXEMTvFDANQbX+X8CT2nDebkRY/apPm9z52Ck0wT3Dm33c94eBbv/7eiiDm3e4M2BXbYYKbtG7ZEqDgTHNJBcIckbSqltrUFgRFrYUDtb852cfvoZr+15PZHO/BGLXZZkk73JpBYc6QkwbLzWluOdqhfyuo4cBiKudrsJWdbggO4s5u8CQkC6Xc1QqiQKc4uvWhe22n8fd0xHPKFnEVVyok33H0E4n15GKErskbDtKfENcGeniMvj7BEJ+9Dw7imux8pKlUoYEMhGhldwzRRyWmcJ2YONHPRZrBXvRkSjYz9EuBAxFIZyoiwsT3j4zDkW4N9ZpTAO5rjKOBZZzkyRNG0l0U61hkr6fPJBC240c00DjUJ+esZdklmoMQpv8rDXSHeu6YXI7y7pqb+9hxymdsoq6UuoGgH9MRN9MGPl/wJdNr8KXTn/iOCehCNwTEpGayvlGMQDob1lsP+PzFLoFmkA9duHLDgeX/cThDHC4EUqdhmCXwg4z4kYapQAX3Hpd2E4fQRWqJMbIwx593HL+4u3DFVbK7kjUNZrLsciSCgEgL1M6sO8Vz6bM4VYLIpIgg0ALIlIpJLkEumf5S6Xba+r2TCQ9EimJLGkZrDzROdV9oZL4PtX8AHzvgdMSHnUmqHgPnEomK+qojqcTohwvKX8qYpnJjuyiTipCSQjTZSwHh4VIWuZdp6wrx9dJWz8jQiGMWNoAWA1I21nG97coGw43ennLLFgRmAd4IFasqrTTjMuoO5MBn2+WW2HHKnRn4mVg1XrLE7XWDnrFA7eMIewHcJdzmq81L1ooLROHSxesY9j7VVFP/345+UwAfvrYR5/b3Ob258ZOBNybFLxmiIEAhmqBe4/XNXafCKvYoOXVxtQOm8/4S1j58F1sb/mVP11pdC7dg800Yyp+1WvZ5WwmwlrlO/oCgerpfeyUPmm0P+4JWQ2B2YrUTEBOBIEsI13tQjlANQpxiaCMEoJVIKK56GhYEe9RWnXJEiWxNOmYJEGVIq9NAp+I5E0y19k/JyePhDmUhlDfbPGJq37KFBU/t4kKWur4HAnJ2PvQ0uqeCja3CSFNR8g58cY6oUciX6gSvlEFdDpvucs48cDSfh2QYkqAlOszsnmR0/z3fiUaH4tJlWTaitfQtEaU25VUVdppJt2wSZjjZSmTkKGRxGSsnK3cd8gey+rCGPvjoA8yy9CMBfeRhcpIr6wxQeDmrDX6g1nH43wvOxGTBQDAdZL2AICl695Vu/NULn0i2zkWr/m/3/4E0C74h7SzN4AahcG82HbIbSPSD4c5u3POGH7xdBLTt3UG7PobemuWoR/DE+1YlwGAUNZVcizX6g4zE1eVg1tKhe6gIVM2ZraUgBeQyScjGWgEzmqnpgqbDD6CzCJaBkSdTGhHjmM5rNDSk5KGQkmJstNTkDBZdSaWe1yHSvIzIAUX+S+0gLXSiks6QXTU4HV3guMJO9HkSCdPnTmQjQMdHP5oY6X137SYzSLHicY0qcLE842DXGvLA1trx5OEI4WdkV9gmsbwpJTSBu61PbQRfZo5fk+ywqKJdAdWAHxEaSiUTnqESch9OKewEnRGNvekLGsKkXPcP+yL2LsijEdlZ7/vZfPekLnNbW7HshPhWcQ8C8X/AVCMCKp9J6gnP1S470u+MvLW506hvRJm9GHOXr9Oej1cY6Bi5cIq4WFMV+dke20ICA6EO8yhlnzSaDSqGJNAjXgIptegFzRAJtNcegsS1StmuzLOK5sBXexDQvnvlIlC3n51Tz0RXhYAaaI5UhEIS75LqOqhjlRY7hFidJTOE6ASnBJls7AvxH0kVYej19wh2ExDGSUrYwcI5iQJmvbKdLyHJPTQsUU/7icx9nqcUAaQS1iznCR2ndJwsR0gbzv3Kfb2cEirpZO4Khom4y2MQLYnTc4ehBdmluoQA+9SdfuESsAYB4rhSS1eSZZb5t3UpkuaXF3znsXsVA7zIY8zUmMj1AokjzUVk1aAx4l8kNWQPw2Lni4JkRSavsLwo/5GUAZmYD77BzO4KrTi9ggu4OTLLYP6VOB+SFx0lTmopdhWDc6mF72Gb/pkWHI+wjogD+I5ZETzw+0Woi+ROb7J7d0eDrLY2g0Z3KUI4tA4eenis0n0P4nACFJlHAOxyCgJB1Kmb0MsFKTSCkxSCkWnvKolOiCwRielyMd0grAKqlMjDf+mExbJOcm+k9+kgzzpRyGbyP6lIYtKjk8QrpF0e4A1RzzyUiojPKmk2X0C67RQ0n+DZGIkAqNq7WEuE6Ohbv4JgDWE/fA+7MdzgH8GaSNbzC8oRcwd4qzm0BVOzkUVVgBrbSYTZqu55NmqDLoQVjVmXqsztJf8YlncznF7K8gcLrTIq8idQXw+JrM+zIYvA+cLdacU/V42D0PmNre5HctOBAenUuoOgBGA7T+Dw6/Nj/sX/tjz435zu0REZ46z4YmYLABAKfVHRPTx+XH/Yh73z/LY8+N+MDYPQ+Y2t7kdy+aTxdzmNrdj2UmaLP71/Lh/oY/7Z3ns+XE/ADsxOYu5zW1uJ9tOkmcxt7nN7QTbfLKY29zmdiybTxZzm9vcjmXzyWJuc5vbsWw+WcxtbnM7lv0/3RKrvRF//3kAAAAASUVORK5CYII=\n", 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\n", 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zF6tnkbVlllhvnsuBcTKk590HMG/Uc6frTT/yhqI8o1VBLagtwFWeqHLvRdTRN6JJDZloookuRA+EZBHgcBLmGNhjRrdz/7BhSLM7lu46wagGCvaxnHXhByyol/sq46ghC1Sy15R2bq4WGLJk8fnjA4QMlY7RwfvE9cngQWZtGtOl+UrE+L12jV0RIWMFotkGPd8EUs38Ol3DLM+7jo1a9o2P36pTjcEnzPy4NVYkGVkVI7LIz2ZBYhb6bVUleUYQFlnNWsdGvRsbu1sxUrYbcQsCdY5O34fx9gQ4nIa0Iy9DW71j24ejAnWO242uFs/BDoN4W5zxtgzy7AU8Z9UBqyZUauuGt+F87GSerLS2HtOzh+hwcnwJQMI/dE16tsZFPLxIIMCdppc15MBY5kL060E/5YUf5BtZRy8S76YU2bhwWyDkG9EDwSwIDJ8DgOZ5gc3cACdhenptCgjKuq1xl57GmTAaG09Qv9TRuFcdiqOudeajNKCsZKlOx6fDTFypN093MI45XuBoXqMam9yWZ1CT3XldeumrocEsL4DTboaHF6cAgMvdUnVrRESoqmKZlSJXHY7HhT6zWaDBfMzlg9+0qtvxWp16W/xBUklw23lLDamrsHws69BUnp/ipRnYwbEyDmubKmJ3cn0X8Fp7GzPfHJMlq9LZdzlrRlFNLeDMemoaiiJrW1vYaf7Iz8dO+m1cxCKrDLY9C+wKLgiDsLaRzo046ROjO+s7HB0nNzwzYVzpJ0n5Pbk2YrycHmy36/HQPDGO/Wat4CsLzquC9SJ8th1ZFWbMqtAEyppooonuOT0QkgVnrjhzo4GpWv+wEe2MZGHJxkt4jiIuDtFjt1nLdQJWMfEPnRsNpLjePcv5W/0C1053AQCrl/fQLNM1B68RXG7ejawYkIZQNv9xL/1/vr/AyaW0013vIl7fS+19xSOvYb/VZ7TShPWXFxHGwogT8ChLMNEDZnxi/NoA5lg1xALQioTSUqzUk7JjNS6ooc3F28Ta1gWRsiITTnJsxchO1UULYqPtIfjWGzIYI+Fm5G8hb8Brgev3qlgWVeOsShKYqhiWQinUvRjD07VzP1YqYh3Gr9BzAY5FL5JF4yLOhnT86nof164epHaOWsyuZ6myB4oWzg4ogc39JcZrxxmotz8gPJrnYFFjViQ038C97Tuz68Cevyg9EMyCMrjEojcDO2EKm6KvNxZ/q8sXFWaAxm5YYI4V5RsKiqakgNbXrsb0DAoyOlnPcHqcvv7ZDScvlQJEPmMHlHdHgdGc54WVr/VLh77PTOxywDhPz3s6aNKfR2cnYg9Zhq4KcsKW+INhg5EKatKEU1tRe4i+inmwH0iNZNwe/j3CXlNE8tu9TZvh8hZQpvr6pi1GP8SiLs7MB29pU5XYFhjmoKqmHasF29lYC0+hcq+WTeZOIfJWrbDPZT1GIRbbD+PGWVI3bh3toHktMY7uFqE7zuPoWbwm7IDYFZcxAS6D5ADc2EvrsPVBNpl1aLCb1Q0LHRhjHd6+LefFRWlSQyaaaKIL0QMhWTiwSAWFrKphd6PATnajzUxS50FBXTNjibdhzWX3OmhWcu3cqQXdXrMMnXpAbu2i+0ySALojwGyIZcMHd1SdE4lindqe3wDmr6dz68sNTp9JO8Tz4yPY2Uk7xNyPFYS3GOVaP2yNxLQ7bzQGLEBjWzb9S9uyhVkIe1IbFCRmr4GJoRHItETyanKfyCTAIkcsxkArpgdXSzCa4WqQPlsEuC2G0tLWJnnEypi6LdR+GVqF9BvvEABRIx24AjAVEpyFUVet96F1QYFjJtHMC68/hPDsPgBg/3VCe176ZGwTXCgC7UmWeJZJAgGA1UMNTpqk146jxyPzZCQf2VVStIwZVMWtvIUI9QeDWWyjWifVWAVLd0ppZ9WTKtbDoNw8afaty80Z9t0SADBwU4nG19dJdByPO7Tr1A57gf+DCXdMJllUQsqA/nGuNg0XgMUr6YIVE5b5ntdXuzicpb8uteolcRRFNLcfjLXtAMpENsOwKxHffPySawMsGaEsWTVnCNpXH7x8DOKWNff1UVPBzd1QPYt99kKtC5UrVuwtcJUNw3ppFKikbteU+ySrTRv9yccU04jL+MocrIN6nxZ+EDftmhV8VtyWy9CK+rHr1xIP1pKmX3TE+PTNhwEAq1d2sX8jq20rlo+WPcCugAlZPLnsgIL7oxFwQ2YcawItc0DhTovTDEBrqFatCg3sqjVk3a5nZnO9CE1qyEQTTXQhejAkC0pcb7iDdXZldlJPUQycq2qHJdnpWlKrvBXpd3wv91zyS1zy5wCAJ9ubuOJPczsOfd4mbox7AmhZvNiIIYqdShagLF0AdZ5Jp+pJ2fjDjOQcjcDuy3mHP/c4/dK0Q3waqpJ81SOvYr9VdalIFDZxTuNCFe9ixWSbfNbSZtQqUJLCKnCrc+ptsfkli3U/qRnp/E42rMHBxDBo9qrdZi0ekG3QdKA2EtrEQZvXya7trNTksAy3rx0L8R6jl3vhgBh03Ntk87Oxq8V3AFeaM5mLheuxlw2gDzenakxGxKdXjwIAPnbzKdz6xEMAgEsvEpplln46IDvrwA3p+gEh2uzbZj2V6emOGWGRcTjU4eWD5FXZn/XovIYy2CRImtBHcSgFrPhFF6JeyFM0yEuHbVmwWgrCLM65q9CDNs9FuXdGaoNYxVZUj0v+HE+2NwEAV/wp9jPSLxLhKKYP9+a4g1eO08toz1GpG2XdUazF6yJSgtT1VbSaqDgqWKCqXwHdzWxB9zOc5ec9vTwTZpHyUKQ5sMAja2uo8zFoqjcLMApMMo7NIKryUSRX4fZ0e9vIejpKGw1pOLl1VaaP6vbgrtpzUgu8rUFt2vifrc+wkZ1qW7uDye49skNnY04yY10HTfRc3sGlZlnl3LjiEzjq0J9jnjN17bsVPnryHgDAp198FLtZ9fA9V5tHaYa59oCImjqi4mFlDVFMNgwAaM4cbp0kNdk7ruegNEq6OWxmLE+BZLgwTWrIRBNNdCF6oCQL6wGxmZYcMWY5psNTlOs2ASlF4hhCXRNkGbNPG6OIzIf+XFSPh9was8zRT0y+zxeXl3H8R4cAgEeuRYz5ojCnSqKwKgmN6Tw7wElC3vRzbKDSSQOM87wLLxn7n02nVyceZ+9Oks3zs4dxcikd/7HD1zREnUm8FTDZpqzVvtkwZr0ZfLtzo4CQym9Ayf+Ylkkf6uxRNuEwkOMpshSz365E9bBG0oUfKsOkhsXz1sQ5ALbmVrW0Gd1qQV+FHMUKmFXNkxm3BXcdtmkLf7Q7AQB82ew1kXIe8qeSheuKW2HIz/ibZ1+BD/9+qtS580KL+bUccbwgUN7G3ZCNnACY9Hz0pBJEyCA/JGlV1NcIcElg0xBW1xLwbbWzxn5Wiyz0uw++ksbK8dwPmG+Wa3gTejCYBadFYL0e3oirVvWYuQHnQUFMVRbwLQvJESdrNZLN4rH2FgDg0J9hl4qrrr5nyNbvo/UCzVn+kdVSjbWKlMRQcdGp/YIYAkUsCMC44dkqakpgFUt9D0GHrk5nOMpBaO7Q1rTgKmDJMkYJ/3Z1wtnRuPaKeG1zLLTG7Vq5G0PtU7CZtjcD3mywHQCcbQnIswCn4KiyKdnCTdsAWtZLZVMYbsaJbMsGXuahUJmbxmTddhTVrgG1dz3V3QAAvLu9jnleMzs0yjztE+M3l6lMzj944Rux+Fyas/l1o3o4AMbTEQuXZFVpXWBwzt1BzKLSsrF/WZd8ewaE0+yd6puqmFUBlDmK1TuxaQs6g3q+CH3BaggRvZuIfouIPklEf0BEP5zPXyGiXyeiT+X/L3+hfUw00UQPDr0VyWIE8NeZ+XeJaB/AR4no1wH8IIDfYOYfI6IPAvgggL950UbFGENBDVvs5Pg8zHAe1T9sdyDrCbhTfYTSzr5bYaeER5vfIwif7pM1+/lXH8Hea8rpZQdgbMVWcDR1MZ2kBEUs4udIgr3gBigJoGJLIrU0Z4zdl7JksZrhKF/07O5jeCRHqVbRhmbXdsR13MWWUnubRk2rKpQKYza/5hA3VI8qgrUOTZ/7oRLpz8btMOmiHi1cL7t3gLut5EMhW3bBjmmWwdwpObHeW9QNx3UoeNlhLZ7COa4AVeXep3eu472z1wAA7+2uAgDe3ZzL7uoBFFzVr5+/B3/rY9+ezj+7h72XsvrQALJUjQRBrBKoHxmlXEo6p2osiseHCGVqLMbHDYAvUuiyVai9UQdtVjBLd0oE9Eb0BTMLZn4FwCv5+ISIngXwJFK19G/Nl/0cgN/GXTALjfvwolZYxjGQF7Rn4O1ZqDdri1jw1SNN8n/u04BsMoDFAV6PC3F9xeszNOfm5WWyL7uKpTJqCAiCzGOvzyhgLsNwYmM8J0TIWhOaM4BOUyNXT/ZkMez6XgA1u77fWos0ssZFjKGuFVLHUWTkKoU6GW0JPiLNOraNUVi6UwyFpcpSj9oeoVmlal16NBmwpaBS9CIX2wxXdbLfel4soxHwGql6N3OD2Cx2XI+Hmsycs6ejhWgSCAA+3j8OAPi5l/5j4IUUFDi7qf3FRt83Ra5coTbgkLK6StF619Rrhchw2dUbjccErCoJL7eX6Uz5S9T+VJh52SQu7ji9R94QInoPgK8D8BEAj2VGAgCvAnjsXvQx0UQTvbP0lg2cRLQH4J8A+KvMfEymaC8zM90hFY+ton74xDyn/qcKmGWNl0X1OA9dxTm3hTVbWsdGWOKcBhy4VT6u1ZSMpsUL/aP46I0vAQDsvOQFZhu9cno3qmjhgjFiJad2Gvs2ls21CFnaY6sHGfh4d8wIV9MOeNrt4Y/6vHM8yjjoFPBUyvhtRtjavcAW0LVxEVbdEMCRH6StkR1W+Zo+NiYs3cSMGNXHwsdtpTKLp5B6KeyxHg2wzqbcN+/Hhs5X58pcUl04u1TeammQbFq2SLLta22icx9pVniiOwIAPNoc45kmGTbLWmmJsMo7/8f7R/Hf/cF/mtr4vcvYyTE/xColAkbytKqrWQdmiYMip8hTZKNmkUydSh8AicTqB8Y4ZhzHmavKLZZ3uWsyayE09RoB3VVWzrfELIioRWIUP8/Mv5xPv0ZETzDzK0T0BICr2+61VdS/5KsPuKUAsK9Ugqreh8nuPZiYgyq/AExOChMPsuPUXTov4CvTT2CgzwvyxriHG8sEdOmOWdUGXzOAba5TpnoRSA7VWMRMI1qSAj4pGuBWowvIr1SsHXc9+i4zzKETZmFF7YZiVUBou30hVrEhVbbt4rUxDMWBJXP1akusib3PbTBIG+4tz2lsKZFd5Va1tO28rUJ/J7L2KmvDAUX17JDq7IftEg/lurVXmjNpZ4fW2C2IYHkmxgtjSnv3K9f/OM4+nY73Xle0ZdIOzYZZPnIHGJxU5QExj2jUWk6h6fm4xBdZpkMjxNZFQdd8Z+JsNtG7mk0rvn2ZsiiJED8D4Flm/tvmp18F8IF8/AEA//QL7WOiiSZ6cOitSBbfAuAHAHyciD6Wz/0IgB8D8ItE9EMAPgvge96sIUaKErVp6i2Q6CTMK0mhWM1nfhR2t4mxsCJ1wVZc8afYcSX5qrkWuju+0l/C9RspBPjhJSCQDoKKI1adCCpxODb4CyLZGETCYAZn/3ps6zD3suvERnep2ALtWY6CfJUQ2/S6Xpof4tYyi5wPXxU1oGtGjFGTwhYVY+43w/+zb34jTkMMn9DoWGszt+2kUomahEjOGyPiEIxHxYbOb4kBulMsi8U9WLLh6dbz1bio7XOsDJ8wcRGlpsmTsyM8kWH/B34ldTuebI4xL6X+ctvPD3P8Ly/9aQDAxz/6NA7+qOicwLirz1aeOA2nWDKTFAEANJhjcz5JGfl8AFga0rZdA5E43MBwA0k7N1cpnuChxblIYOug8R+biZu3hbS/Eb0Vb8jv1MOo6P1faLuCwmRf5a0YuVjnXW2zKDo3e2Eitsze3A1i1xigerl31rJNWOW+jsc5eNgicLHJgmWOwQwyC6JQWgT59BagFgXCVomaNLR92Ndr3AC0p+mP1XGH03x5fEhVmzF6qT/aOZPt3CyKZWhrQJfxjJQQdeuirOJNNl2brm5jk2xuC4k1IcYQbx94VdvEZK+qQHcaabQwAAAgAElEQVRwaEnramzLgn4n6k3y4z3f40pWPS43Z9jNauoOrXElM6FHfESbJ/Za/oD/v7OvwCdeele69hUnDD7M1PNFDJRaWRRqdaMQGS8GRXXJg4FtU5lAWeZTMw4TAWsRJCtXQ7EC8JX5jky3JUW+m0CyKTZkookmuhA9EHDvyIRVbDF3A7yptKW1D3RX8IgosIU1K8TVVle3ZQ1bCmLUnNMgBq9gDEUr9jiJSax/+fwQ7iS1aZOmugFbDVEWc2GjBpM4mUVEg6comIvYGRUn6n2xM/gCSrgLAFhcY+y+DGlolft/8fIh9rq0Mz6xc0tUCxuyb+l83IRvp/66DZHUJvIt0spme1b6AGqY+BjrmAQrNdhcmNaTYsmChqQYM9TrEZmk3GXgGpxXMBTeaTxIYBII9OXmXCDc7+2u4jAnPvrceBn/fpNUkktuhueH9Ay/efbHAAA//bE/ge75JOq7Ud9fmBuV0uhtzVqvYU/ojrIUNzAk3JM1BoQCq9eD6LYUB+X6cj44BfkBwPFZWsPPHF5XA6dRN6xK0oeEU7mbqNMHglmUuiGWWgrYKUV4XBB1w5OWxRuir8RUEUdjbf1vJQYkYC7lEbUvDxZ7yTo08KvbQVQ2sIeCAdgwZMaJqYoNEWmxGMSDZj8CQ11/xu4BqBpiVZLYQsLamxXgVlknNcVl/C5XOn6NgqyLFJW50dKL9VIQlKXXLFe3x2AU16nGoNjaJuKyw/YSgZvqi2Uim7VuS382g5alsml44sriX6iliEtNYgpXmjMBXNkNpKOAS67UTA341PAIAOBXX/2a1PbLc7Qn5aGAkO0UsUOVcqB0Gzogazjwa/V6OOPFABtGw6TBYwQJMGMm81UbT4szqNAIjINuFDJ3hlFbalxyfdPFtZBJDZloookuRg+GZEGMmRsQ2dWFewvQxljn19xUO6bAwEOder5gK+Y04sAnTMKhW0kousa0JgPntTElubm1msPlXJuhY6NW1GqIGJa8iosSSYgahwErhZT2QpIQgHpXSuHIeUdp0j8ghTiXTEvdLQZnF8vN+SW4g6RmHXRae2S/0wxbJ6NG6W5CozeBVWluCGejxt9sqziW2soqkoWJZ7IGywiqws8766HINEYvorOVjjZTFdi+i4rRkCYAammsxlfKVS78gC/prgMAHm+P8LhPsP+TOMdn1ilP5jPdVaw5vYznhhl+4tN/FgDw6icT/H/ndX3X4wIIcwOr7rMqtlbj5aZRvEgNoasBfpvvH0iSBW8CV4AKMs5e+3I9YThPi+V0mOFSTtjT0qixQaE13qq4NUzgjeiBYBbFdWopJagteq5TNcVMlq20DtTiamEiMzeoGiKFAYE1a2j6ij1ezWCbs1UHm2jc2ibssWQ3MhZp0AZYq4iRVuksiyfqsQtqTXcBQGFWpMwq6cV5Qa7SPwBojzyGLj3Y6dBhp00Pb4sA2bokKedEOaZqzspCmjeqelgGYBfXGNUrZdP6zU12rKKGBKYqPHxmAEN6XoslbQasqdoUtsZ9rGMjz9ZCPSlj9NjLdTX2/QqHOY3ibmYgALBim5rR4bM5+O3Dp1+Fz38upcRb3Mz9jzU6syxZ35OoGwDgMgrTjXqNXVNuZFVpo9ql4LmyIcjmQxDDVwUMZF1vCfCXjm+t5wLaO0Mn9UQGdsI4PDFmGO/oydpGkxoy0UQTXYgeCMmiJL+xEkRlnHJjlfCmUCVxQI1eDpryf9etxTPiieELoIW5Ck0v1w+DR1uSlHgSXARTzdXFA2IBM6P6zC22HxvXlBvLrhA7MlGnG/OS4yuoVeOpX+tONX+dENt082s7B9jfTTvK5dm5RmiaXdgCq1YmsU2FoQjRGIi5kjI0s1aQdm1l9UIRJAWFbUyJNapasJYtMWlBVnUVLTWgLvy66ned21l43eLXscGlJkkTV/wZDnPOzCv+XODkh+4ch65cs8JPvJpUjw9/8iuweDHXSMlNhpnxbjR1xbnSbbNkiRoOnb4nCqiS2ZQYEDAk/shKpeyNp4NMagOrmkRt368Bd5ouunZzH5dmaR1YvM2m98nWhLkIPRjMwpCt4bk9I4XaKWzdU0cMzyrGWiZSQtrnxGhFmGKJQ0lu2gz6Gj26LUhNa7OoY0QgzMDGbtkM4NuChnw07hJwJXKyPqLGHMwYrrhdV7pImiWjPckejaMOxVh/ejATxlDVTDWLzeat2HSLavq1sXonjbguNf+FTZMn1eBJa5p6i/wEV+hLLY1Ye3EswG6s4hkUILZtoVsX+syNVVLd4iLdpxGr/KJeDLuyVo6GHfzLV1IQYftqJx+9TTsgXUbSGJ612p2YBCh6m7dCkJqDCRjzFslLRq1guLEwF1b33YbaW20y+RVGMzcRJK7v1mRPW7geAe6uQskmNWSiiSa6ED1QkkXrRjFqtm6QDEmr2FYZj0RlYMVZtBSE9e37FfayBdCKtC0gSXQBDWs/izPcHFOkaVx5GEl2Izqw7AZUwXud2VUqcdEAb4AUUsx5t4jtpmFU+yuPyDMVPnxPsntZI1vTa2QqNx49Jzn5M90V7C3S1vj43onCfNnJTpP+VgNnAWbN/Vhl16qyUJmkMYWshb20Z70pm4CvrYlz2G9N3pL+zpKNqZcymH4BBYb1scF+djPt+xV2c4n7Q3+GKyWJDQEneUy7bo1/cf4+AMD/+fLXYPXxlKB5fmTFx/RfmKGSJpxqTgqqawg+Lyy/rmHeorp6UkAem2sIRkqlykAuWJ2RxSBqAVl+rblb+/NGQG2d19opjcEoAR0aCrXx/U3ogWAWRLUYCiRGYKuo3zn+QAcrerdxrFjwTgAkxZ2lFbe40SeEDZ37ypVVqHJlWXEUxo3q6mt4E/ESIWKfG6i6T7wkARLq7XtCbLI42TJ8ZjQ2FqE9UTuIXxH8WWp0eTwXNeHxvRNFahqgVHJpqhpSVUPPH+gytMZOMaJwZEfWrlG7XYHavjDeIaNZNTVVOH2ssm5ZNb3YGmZGJbElA1sK2M8bxeXmTDwgD7lz8X5FACc54O4szvCRm08DAF584RFcuqZeh5Bj9aqkuyWmQ6ciIX1LnIx1ncKsAcJGRqxygaowlScNLB/ytrVWnse2L2Q0SusSB9R+FQMhuLvLZzGpIRNNNNGF6IGQLBiowFibtCl1bIuUq7wi7CrcRle8IQBC5qWeNDvWjbCH11apwnV7y5nwc1bQi4F7A2ZnMAan2JBWFKeNXQAFcGVOCDBHreNhrp4RMAR6zg0w7hTxVuJc0R9om80yRbMCAFOLIiUfXVrAZwPmQbtC0bJs/EhDQY4jSHJ8WgkB2DBAb2AeIrMxQPpKUtH7DaDOVsgyCXcaGBUItcRRMBQ2cc5IXu5dtIMA8naNnjCjgBsmbuZjqy8FAHzk1tP43Y+9FwCw96Kumar4tanlYXEvUvg6ArMUagK/5ir83GJpRHKw+Ag7RZW3jcyxMbJaUYAVy+N6gsvAMHfuxdO10yicPRq8SwBhObRby2fciR4IZrGNqlqXJnYksJblG4zo6knzIKSw6u2T4E1us8KgzuIMyxxg5QaqgFNqS+CKQYg+SVS9wG0BZvp9sJyLLRCyXExRRVdv9OBxBzCPq+KtsYK7UXMp+KUBa50Rwl6ag2vHezjcS+L45gdsK36XD703cSJ77VoYRB0oRltVi6I+jOzguHaBpv9dpQrZ+h1F0LWV4dO7L+C87RtKQwGHpe5oe4orOe7jkeZYgggPXcRJfmdH3OFTy5Qa9qOffzcWny9pyoDB5KV4I69i5TIflNn7foMB2Ovteihts56v1tId9k6qbBwmhQFMbgvTf2QSptrHpnKRWy/ZRWhSQyaaaKIL0QMhWUQmnIcZImhrhTFvgzEMbcKC5TwU7m1FUW9EOweI5+U0zLEesyXeZDGyO4YbN+DbdmfYgougyFt3B7FqD4TSSOhIpYwAtKflGkjdCSaFe4NUJaGozxIboMmbeXcEMOWyg6td3HwyX3NJvSFJxShZYeuYjM5Endpq4lXOT6m0nh5gFdoaPr5la7aGUaD2aIiIzF4klMYFNOYdB9O+wsBZIpT3/EqkiX2n8TEAcCNbLP/V8hl8+LNfDgAYnjvAbgoTwbAPhIUaoGFiPICMiSiqRwByVUP4JW+VJkAKuHKjAV8xqxHSKaybqS6LaVURjVLVSmUUOSWSRjauixRqjP7sVDUGqhQGqTDyF5s3BIkhtBvqRpHp36xEYaHBuPU0DDpKybn0WxGHIdmxzmOHZQ7vdeOGpdqAZOwDW6+H6KWjTb5al58D0sdeAbqKG65X9WTYU7casVbMhgNGY51vctm6cZ+l0IwLupjdGpgd5esbwvo4Nfq5k8vyQR/Ol9XHXfTcuR8knmAZ2trbUXkt0sCL2hJZa2w6cIUWVMZiRF9C5VHxpEypxJU0GWkI3J7E1wK6Hm7Sl3vglhLvcUBrzYNChKOY3OOfOHsX1p9KgYO7r1CVLLkQE+Dz+xn2in2BxF1q1Q2KWrvUEgWzlmDAV4HEK2ZVDz/ESg3RdVM5ONSFz1qciu2XbML0LXhtjK4Cu3Uu4A7J97fSpIZMNNFEF6IHRLJQtcHuYoUR2xTw0USoblrqC6aipUFUjI4UG7/hoq4T1JZnqSzYNmGJgmFsRiwr/lUubdKdpIojMcea9ESNl+05S3X1sNiUcnLTVsgJAJf4kai7PkVGyWzfLAh9n0Z/azkXz8jhfFkZvCzZSFKXd/zOjVs9HKMrBjQtdehd3PCcKHCrzuWpk1bAQ1bVsXkix+j1XboRcUuNmZaCJN21dUaOIvA7p/8eAOBfvPw0ulsq3YSCHyOIkdD1BrZdIkcNhsINkOhSC/kn4/WgqO8qDamomuoxQVBVwg1RPTAO4EZjb5yRRIo6HJzC/qMno6qQSOid13gQ+wFY6fuiNEkWE0000YXoXlQk8wD+NYCXmfk7iOhpAL8A4CEAHwXwA8zcv3EbuK0imYVyb3JAqzdLlCpYAsZ2XI+ZpPyPaKsoxuynN+15ioh5t6MRJpKP0eRkl24dEdt8jUe1k2gk6QbKszxmZsnW6GkrnLFTfTm0JLtLc2YwHAbiHb22adX4MLO2Lc2x4Aagu5mzlzd7cDvZeNkNaEsW9Gao4Na3+pRrcggeD+eCzFYiGE3EqDWaSYRrhIiGnR8N3Lw2qJ3kKlojq27dUJRgs5kf1b3rWSSeZejE7brje1kHLY048HlMFHA9Zvh7/zB+5dMpPV74gwPMstQ1LixEHyKNcQPEWXqe9rjs/Ab+P7CsE7dpmygGSOZKSnVrY/8q0gcDzhyThAgoupKYEbN0R5HFUJpOZCm0M6cYYrgco4NzBZuiuBqHlAH/bjCc90IN+WEAzwI4yH//OID/iZl/gYh+CsAPAfi7X0jDWmJOv5TATtSNzUrpmtbehEHDYyj+ewRRbeZEQJ64Pb9CkxdYT/rinUnlnjAXKu6bAluVZ0RExNZtTfUvbTMjlhdtqqhz0AjUMLPeFfMsro42LJ9fmNWqEhVPijfG1BMvMTHHu3N0jRp/1zlBaIhO0se3zjJazU4FAM1mli1nDZZsAF9RmFvnQhWbIgzClEPsTbLfmR+xMPB9axAt7ztVnUuWx8FY+s64wcdX7wYA/M6t9+H8ejJwzpiQQ4Eqw6AbdF7DggXkVLArIBgmTUbHUKYtoedIm4izoejFy9ZHgX5zQ4pnr/A6JhbJqeqRygvk45FATWE0ajxnpxnNrOoGqMerJEd623JwEtFTAP4TAH8v/00A/hSAX8qX/ByA/+yt9DHRRBM9GPRWJYu/A+BvANjPfz8E4IiZy3b1EoAn36wRZk0+o2nla6lBap2CBc7bUpDrVrGV4sme1F1qdxrLGXfII7Duqk32k63NRX4d4ddZBF4HUN4RubH4W0PGZ06suRVFbCQgdFmcZFVfGiia0+5SZFyhsUXlVisBZtyqhEIMxHzRuGOkktHgO9Yk6tRy2WHtUgervsVQCi/7iDZnANqbr0VVcOBKKnhkkeTwsoutQ1O9t5LOr3FRjJcjq/uuRhM6QdHaZD27bV+VBSj4i86P4t69OezgNZ+iRR1FWQcvDlfw4Wspjf+zLz6O9npWlzrGuKu7c5Mh9bEBuFFJQIo37Uj3KgE6yBqgyKAifRisTUr5X47VeBkb0uA4TpJGaacQE7S+qUlFT6zlAjxHsM/rydid2dUSWCHrEIhMsm4uSl8wsyCi7wBwlZk/SkTf+gXcX1VRL1RsDeuouPWWwm3xIZtkK2eFjcS/lloqbXpTHTtUUGYLsbaioSZTNS/PhK7DlCxkY9co97mR0ZyncXBDGBcu/w4jZhq9wqhEFDXSNMw2fPBtWWwbYexlwRgIuxtJvCax91pOMXjEUpG7JdFz+9HjnNJH7E11K2bCsU/vbW3g4d5rAiKtSTJKmLojhvOqbpSPv48ep4PGoxQK0WEvJyK2ILxVP8erZznJ8mKOGwanXdSTdWzw8q2UWzWuGjix/zA42yPcymCvWkYpH+dXUDBWmesGoIyzcENKOQAkjEU5tqpoyoJVVDQChfyeRqNKWPtFiKrZJPBRfl6nkakGy2P4dmJYrJvGkFXKM8ywaEoxcLoN3v921Q35FgDfSUTfDmCOZLP4SQCHRNRk6eIpAC9vu9lWUX/qqy7dxSNPNNFE7wS9lVqnHwLwIQDIksV/w8zfT0T/GMB3I3lEPoALVFG33pDiY5+5YatnpHWjnN/xa9zMUVSBXZ0Ix9CdgmUKmnNOAxY5K/ZRZz0QZNSK2mAZCzzbQ7wO1lJNd/D/FJ86IuBXxXcOkTJiq/57myQltAr9DjMr7ii+InYRKFZxByBLB6HT8ceBQFmCwGmD6IxEk2ncDWJNn7Ujln2SLJhNrcxIOF2lh1t02XPRqARxNnTYbXUSzk0yHIu/KCrH+dDh6o0D6afseL4J6LrbpcoQHMKY7r3q97C/k7b8k/OZSDfMhOXrSYfwJyaitGMptxBnAOZlvlnygYRF/g1q4KRRU+k1Z2zeu9FKSd8rWLESFtFLkUFjlsDGCMQiKhipxFbBYqMTkYEMWzJ4kdixYGk2EZrl++r8gM6N73gOzr8J4BeI6G8B+DcAfubNbmDcHqIeN5LxtgawY70kFuK9Leq0N9XZIzREPfAoblRPWuItdMaV5kleNlfh6VqRzIJwAKhY72xRYwPeKdd5EoZjTdLEJlbAoQqRZ6OShJ1iKWf5+CmSALTgWQNFVl5Vosbo0Usn17OHMBcQyyLrRy+MIwSHsTeejKJOrNOELRZ9tfiKDcKWCGgq7wpjlWH2Q3QIuSA1915VgBmhaUqmLJKqW2HpgVLA2jOG/Axx8LCyfGGCFNQVym3cOh80OC0fyUBbgFtGvJeCxsFGmnJVykE9aAySlP+mNCFzYhL5uCJJceBMYhuFpLNhKLbwcpVoibVIsiPemtLhC6F7wiyY+bcB/HY+fgHAN96LdieaaKIHhx4IuDdzAmNZSWIVW6lfCQAuy+DW2HkS1DBq73VQKOvcQL9TpGneJcGihli1hb1RQxpVQ5rAoCIaspEWjN+bfc3dhQz4SgxbrDDice60pmljdhGvoiUFo+4Ezck47ipEOTqFfiMQkAvmuLUTMdn1iukIHSejHiD/A0C3M4govzrvENf5gXqLFwY4g7vaWfp/uexEsiBiHMzX+VGcGCC9KX7kneaEXA0NcJoNqUs18saVw7L038Y0LiBJFWUTXjlEwWYjSVVAkixywSaCMRYPDjwzov/Ky9wIZKRPOUHSPKVzzRm0uPEIgeWPC0J3aoyUG0GH8n9JVDNG0FBEAtZksAAoGvETMgxZWyZFCFxgTRNkYB80Etrs3Zv5upDQPBs7d32ffvtiLQVQxYUY1cDSOjZY58cOqO0UNpGvHtflDl12oA48ikqS+r79BdvaH9zUadqjL/5NVheXIW7UPsGGyWwlTgsOSB//ZvQjkNPNl/sjpMQidSoas4cytEhas2IkdQlCrehWd6fFCA7F0wGMQ3ZlDyruExN4FnK/EU12rxYVAABOciXv+XzAOqQH8y5WunOxU/Sjx3G2e5yczeFKQWomhJ1iHGBQ7pN7L8yCepfUiTwO5GOMFqUGfZdIXhAgq26F8Y0k8xc7RpujebsT9SC1JcZmaQpiQ92o0SvjoEiIkoSGFZ05GjUEqFQMmRtmsC/ueacMojHRyoztMUrGlOEGU/qBCc7VGymAu2ISeu9EE0000QXogZAsCHwbCAuoo0GLBBHIVVxzyABuzwr/3fFrSXyy69aihkRACt+ecZQcnGdxJn7p2/NZ5EPSHcuqEACBY8EzMCgDbJgIsVMcBZCNmlmtGeeqboS5ejpio9eDIP51vwZKUk2bss/3ugP6lmpPifXeFPVrwSKm02GPpknzOvaNBMyMqxacRXMaNLdjnLHuZL3DILuzk2v5MOlKq2UnovDx+VxsuF0zyk7qCLh1nNSTeLNDd1o8EYxS6Ym6CM7t+1tqqKWBEIohGCzGWZqZeqHBq7GRoYbKoZa6ioTQrUhzafaa0MbnmI72XMc/zkikQRsKEBuzTiwGpypiyrW6Iaopi0EdzgmAL7Z27bHx1jnjrYNKrgTBVtgkQZ0fJU9I61KJgLupdfpgMAsyzMDkXnSm8lghTxFtWWzmBbg7MJwAkiQ3PQe0edUOrMFkA3tBJrpBA8k2JTXF3tNGYpsipkfVKU3dEOvJLd+vC4SxeE4a1CArk40JsjBU3bDoQoqQgfAMmskp1sFnhYnw3DxMIATJ/EIyQI4QD4tbE3xWeaKpGk5tFLVFXLEExNEGm2Vk56rDfKFu1DFoioFQmFLUquTjQUC3n64fBw/uC0pRGSPF9NEDSa1w2WPC0QDjugheKgPiUmqO1U4BB0CYAtQLQ7e/f5uw2Xmg2YbaNNdw44DBrMnyXN4pUwDkK+QI8CzPzcwjdrrGNM0BaSyJg0H7sqYoYI3XidAQ/8bE0wAJDXs3dUMmNWSiiSa6ED0QkkUhG6JuCwvZgrzWc2ENmeXvcn3I2N5N6HeoVBu9b5VzcLanmiLNJqjZjCC1YcIF0uvXobJsF2DNOM9GK6fYitBqzMG4MJiMHsi1fJMKIruReQaun0vVGRacQJyxGjWbKNGJYMBng2HsPWIVDKPXWGqyV4BGj+FSkTIikNvBXhJ5OJCoJBgJZyfJ2MmDQ58Nd6tlp9IXAbTMksVoMCKO0Z8mvcwdN+iy0bE5J5GcmFSKAqdEBKVNKVYbCXE/SJtFmvBnrlJPZEkZaaxZAd1Zep5mmQFUg6oAtmodeyPxGOyDX4cqF4JAv8cICtlQHDRSGJ4Qc6xO9M6EF6gxNcUFFYnUSAX2kNVZsOPHSjIXjFJo7pjD9k70QDELb1JG2WxJm3k37d+FeczdoLEkbpT7B260WC80NmTXRYSS24KdiMY25X/0BiDlSV2kZqGm8OHyUgmu4P9DFFHTFc8JIlDyEszqFy21KUwouhtUF7ZVtWOn7rywYD3ejSpqExRkNTqYmDmE4ookFtnSzUdlTEaVIOstaEwdE08SxMRFBu8d/FJVk6KdgBgxz691/bHJ7MUNVyjIEtHnVySuYcB82A7iyeFObRwIJC5eGklVtEVUN2pEBZArwK3YGcbbA4OI9ZlZGfWv+jirXBbaRmwdqNhSIiMW2xYAZGbBRLKpsHOIXVZDOoMYJqPSbrhlVf1RBjYOmmPElqVsXLgrG8UmTWrIRBNNdCF6ICQLRlJBPFg8F9jIu1mkBitBAKgiTStglsmctJMtli0R2uw9GRClMtetsMDJefL376A2NnKp8GWwFAnGWzwEGicS5sZaHx02s3uXNoF0TyjSBWsWb2JVcdyomIjYQuNEZloKIOxEcMYkuJkqXHHtRexmz7J7ujWJoZIuDZjNs9XcscC2x6g7cnuqx80KKNbD6J0WeZ5nMX3lxOgosGkgGVLPS9pxBhWIeTRwbGvNXzm0t/L7ft1INgbJHWaoDK/tjlqlQwajxZXiMpqbjWREt33FVrN3AxoHws5IcllCDJ1KnTahkK1U0Qy6VmILKZKcokVVMiWBZzM4q8w88wiz3NecKk+HX5dYEhYvSWg3rsnP7sYaZyH1TSMh5gHM3IjZAxAbck8osrtj2n9vLL0Fg+Q3LL0li1YVX0JOaofM4RGhgC5ngq4kVwSRitiEDfRlOaZqcUguOWb5sGxlMllgQf2fbMMZooJuYsMSBDaawKbYGnuEg9gjnGeJr0AguKXOX3letyYJw+ZLW6cXMB+xG40XhoC2AA+NikYlJWGgChFKvVEzCkKUsT0s2ripMZCoO27QwCzvIIzLDRogFzqHEMxYjRrlT2/3coEsGlaZMLeMsNBrCue39VokVWFg2STcwGiye9X3Uc6zI1BJxRgZlMdBQ1AEJwBucqCedwjznOtjrqhbv2JhFhTZ2CoUyWvta7HV9ACWGdwG0JoS9k400UT3gx4oyWJgX1chy2RVjM3wc5sgZxsFdgrKYgXVtOTRZmvbE+0RruRaoK8/tC/ire/Nju/Vv+3WQXebdTQ5M1W1sHh+gW+zngudRi3GjqoCQgLfdoQxi8jjgpMhD1lKUClWQE5ERsQ38SOpCJEa92Knc1tAWfN2FBDV0VmbwF5IO2nZkbsTNaay12cu+AgCRGpxazUchjlrTAehAnGVZLhhrrEYrgdmN7InYqXYBQqQHdzG7YQF0BfcBAEuh7TzqhW1qDklqSBGIyMs9F7ZkecsmAs3UJ2lDEmSKZJmDArmcqOmJqjU1QDJguX6CFoPedxVMVIJUY9dK2oIO/XKtWcBfpkN/51RVWzqgdakM5izKaugSXr74BFLBqC7lCqAB4xZAKhcoYVaChKinhK15kXFToBbgDKOTfGqaPIBxgOCKG7UuRskG9OrC8gH7wJLurvQaR4IR+oZIUIVG1IWS2hrSzWQmEY0C3DYNWpI8artsHxX3CQ9GchifNGIeieNcyjtLTUAACAASURBVMdqcXdmsfemGvwAzG6m4/5Adf1hdFgt09fPtpRd79AslWGWD6FZRtGvi3sXUNwRexb1wS+dAMHCQm0mGPXZ/blDc65MrFT7as6VQfm1it3NoIlum55T/AZSFbdSFwUtp3gWJBdpm6/pToDuWFUhmwx32MvztCJhLtbbUVSPcQF4k/WsZM1iRxUTlYAx5dG5Zkx+360pMebz30jqVLFRpTKW2YtxOkj+C543ld3Llq4sn0LYqUtEFnDc3I9aiNqFZLO4C+/IpIZMNNFEF6IHSrJwFKX2R8mcBSRjp6oSegyTNctKJB4s5QIsDcxY54yLLTnBXDzeHOGZ/esAgD9cPIVxN+9Ma5RqAQgzgsuSBa+VoydDZT6OKjmETtWAssP7Xq17FFVsHObqPRj3GXGmOTUFftyoBwZQg6FbOvC8jDVIOHmzJo1MNdGXs5sKCx53Wgx7WSVwjP4sbY/dDS+7aXui+SX9wBgL4GipBr7uyMl8WW9B6XQMhFyrOIXpR5Umig17fh2SIcyFGoRU1BAmVFJGOe9Ggltli383gkqmLA/Mr6drFjd07tcHTuI6mDLMGwAtXVVrpagfORkbmjPdvZMEWdRCIBTPl4eEq7u1ekBSzRjFU6BAuRuH4SDNe3+g3jTfM/x5lqb7IPiLMHcYSla1pjbalowNtKdejoaiVJHzpOpJSxED+7tCXTwQzIKZpDZIXfvDALNK1u+N4W3LAmQRmwM3UlA3AJLDokZyBuxnoD83rJmyGkLMkx6CxkiEmdNFYERagMy9EJVAQsJN9qzYWqQfMGZROM5iRv8APABU9PsIFWl3Atyp6ujFvdsfzcRm4NdAdyuP70yDohLTS8fNGWHIbsFh1lR2hTvVRSnEjf5dCjAjqv4/7gB9Tq3KDYNWBfpYvz9v1I3SXnei11CV68HMgSeTAkBVPlp5IKNCuxsO3Wn2ivVR2vc9QMf6/orKxc54RjxqkBiA5eMsao1fqf1pnJPUBElFp7IdLWifFM1GAYjtIBp3KTuq7BSSTQswYC2T78SGqLtk1wKAxe5aYkNK4BgAKdwkbTJNsSETTTTRvacHQrIgYknQKxgKI1VUUoY5Duwq9eNOHhF7Tcm7GcCihgzstxYIjg3gSjJcz+rp8D7tVAD8Mm7feZ2RHAr6ixSmPe6oYS02eisFAkryFKOGAJrFCb2X3aW95YDjnOuyhex8zRIKplqqkdL3wCgGV4VsD20jak5zRmhTxUJ0Z7q7kZEc/ErbLOJ6bIwHoYEYL7l3BnClO1lzrkldxjnJ1sUOmB0XFcPGQHCV6Kfs5rMbkGREYUcrie2+zOhOijdCE9fsvqY7bJg5tOcZ2zAjnD+mHizO4yqAue6WSobjjr5XCgCydNItWWJJqgpjgSVuiOce/ZWkM/T7rgLntTkexfVR8Ta7LYa9DJibKwzcLvfQEYaD1G/nGCtTilLyy5o4kIFT+ckvOjWEkNQLKyTdCZHpDXpnYF9Zcy2IyzKIbeCTlrSy91mcaYnELqZ8CgDikipAUsmGlETFAkRSUdmNbGRXI9JS+ZsEWDXOjaejgfRpgUxW7A4HGpTklj67Q/PfpczeUsfXHbGKtJahEeD7EtNhg5K8As2C2g/8KmLYzSKzJ2EM1qUqQzZpAOOM9dpB1Ro2YfNV2L3T9pql5pCgCHDxNBCJnSJ6ko+pPWfw9dzO9Zx3AsDsOGB2I7srx2gS3bLWrQ0N+my3GXahsTIBokaKS3Jh7FOs54t6CgA9pdUM5Hoiea7j4CWLWZwpsy9jBJKdolnmADNmcFcAWl4YStxyX5lLPtCkyFLTlDSNYUsRZ/kFBSZEbqtN+c1oUkMmmmiiC9FbkiyI6BCpzulXI/HcvwDgOQD/CMB7AHwGwPcw882LtBdBGGzGlkyOohg2LXCrJY2ii6DbPCJADe6yUadAig8BgJO4wNGQcb5GZK44dwPje9dMS6F1FThHrogqiRQrdfQQOHGYsUaajiqyx5arWJLi92+vNZUxq0gTzTmqXcqK6cWLMb+61vbGiLCT5rg9bSQ71XBNId7zW0G9GgZDMi7UWwDknRgJ55CeXeeIAgn+ww0kxjd/TuL5YQ8U7S8ExVn4QWMwxjlhnKkEUUT85mzELEsHLkSJ32jOBsRZyfIV4fog4xCPwkGD1eXsRdslLB8teA1GWBS1hcwcII/PJJiJEO/YZhTrKHmkCV6qzrVVNq1i1ASRqHPtaVQgHzvxyo0LVT3Y6XNRMNHHc6CZqV7Smfy1JTbkrN8R9WTuR+y3q7uCfL9VNeQnAfw/zPzdRNQhxWH9CIDfYOYfI6IPAvggUi2RNyUHzVbsKcqHnlyh+cMzdUNgjmu7hJNF6xArD0rxgqw5YlXsF0Z1oN7EJfQQ0Z8YiOIeY5RQBDeoHssGhGOzWQ2lYrc3LtIdBSr5qKI8jSSR5dXcmFRw7CAy4foyiwoDYjRnxa1GGHeyBd0vBC3anAdRm7qTAS7n8Zg1KuK3t3oJrx93GwFiUWRBsYYWUiNFbA0WT6faYp342ADQ3AhhzCkGheV6SWBsQvlTEae8JlajFv9ZDpIfAgDcrGT6ZnCXmcJBh/PH0/l+n9DnvBzDPqN/KLsod1URHtYedJbuFXdpw+p2iYRZ8aKQMgjqFLlKzBh2yvtgNKvs0qXa9S6bDGshorDr5N5KZWEWj5d9Hyk4LbXTj94EUipAa7BxIqCUKesu8ll8wWoIEV0C8CeRiwgxc8/MRwC+C6l6OjBVUZ9oon9n6K1IFk8DuAbgZ4noawF8FMAPA3iMmV/J17wK4LE3a8hWUW+3wLet4dJTLHGdKQtWSXIT/dbSASlnZ+GyJHVDVsy4kWtNvDZewrVlck20t5x4AgAoOx01loOiMV4ar0fo1AAYZnosyXRmLIl5KRqVwTD3BK/Oks1g2p4Dw0GWSh4asHcl4a2/5OAYl2bJsnk+djhaJT3ntRsHWL2Wtrth10k6+/bEoV2mdnZfWqE7SrI/BQb16YHofA10pYZHCxrTYJePtBizGrW+pJ4PKem3NCJ7A+TbANZsWwnsZKQFgaerYRKsUPjQEhY3MmbgVkBzkvQgd+sctE7HfKbYc2oaYC+Jcry3wOtfu5efnbB6NHvaDnu864mkGe+0g6Y5iA4HsySudG6Ukos3lqm960d7GM/aPEdes2YFaOFi1jFFD+NBg0bnsmJ53KjGZGKINNHv65qvSgg4W5LChA/MWMo3pDKTmmNUAY2ELsf/dG7cilF6I3orzKIB8PUA/gozf4SIfhJJ5RBiZqbNYouZNquob6uUXlSPITYysLgRO7JtwC0FqcbeIqBFYRb6AloA+07FzrNcwbs513qWoA1gjlExKlWvNGt019jWojeQXKGa+cq0B0UsukErodOo54cmYf4BYHFphS+9nBb7e3ZvyFgf7U6E6V59eB+fefIhAMCzLz+O9Su5nsdVB84ZrN3jM8xups66a2egVfYcnK+APue5GDp0xYXXObDLevScFMNV1A07R3megOIxyn1upAq0VeILxcakGQwqvjdnI/yt7PK5dSJZ1dEPQJuXctsiPLwPADh+ZgfHX5bn79EejzyWUGqdD7h6c1/6k9gaYtzoEjeM0eGR/bRrPL6bItAe3jnDC6+nOV31u6aoT3ZVI28exvNUNgx2pK7WaEBkJrgxdK4KOqzKYhbbkf2ayLjnlwQuGdCaeBsAq5D1Hg5vY8LelwC8xMwfyX//EhLzeI2IngCA/P/VbTcz808z8zcw8zfsXem2XTLRRBM9QPRWqqi/SkQvEtGXM/NzAN4P4JP53wcA/BguWEWdUUO0N8mbIILNBL0llgROuWaqxk7m/iKGodr5+tzmaZhLZaz2TMFG40KNioCK2HbWiNX3PR4oyIgbiMhe8AvWo+J6lSB8TxLF6ZcQPECYE9aXs0H2qQEPP3oMAHj3wU28b/8aAODZ48dx9SyJ2o2LUrn80mwpcQBPPXITR7t5x3wv4fpr6fq951vMLqVBHRAwfyXtpHxyCu5TO9R1cDHtps1uC58xF27Q2JASW2EdWXFhVA9jyLS4iTR2SHtiSGxVrG/PGe1xjm04WQFXE6Ai3LwJf3CgDTXppfDeAlf/eBrf0dcM+LIvexUAcP1sB9dvpvNsY27WHpRD9l0XpAhz14y4dpKu/+zxwwCAxf5Kyjq6wx5jTkjsV7VaJXk8FypN+DVj2CmwcgO5XzFcDlmPLYk3xI1cG4jNth5NCYkyZ90xsD7KwC1GXYUvN7S7URWuj3eXkfOtekP+CoCfz56QFwD8l0jSyi8S0Q8B+CyA73mLfVQekM0aImW4MxoljN16P2pgl9osAKDLvwV2iKXqtOmXDHOxwVhMtaXfqh7B2CQKkyj5HlKa5nyuZTQZOdgc6QeX2kwdrQ+B9cNpNRw+dIrH9pI4/K7FMT524ykAwOduXMZOrin6zKXruNIlrrPwPW70ybc5N8VlXjvZx/xK0stPnyaEWXal3WrQHqeH910rME9mhlulFd/eOEeYpQ9onDuTXTvPr0kw7Ea12bARl63qgZgC0oDENASpSYaJmHR0tFS/LbWd2FVADrSb7Apnzxzi+H2pgyvvuiXrYwgefCuNb3bNqyclAusrxcMBDJyY6nLBiHtaQhGAhPMXirsZHDg6dCU+hmBcWyYuaE5oytwYIB9FNh43ZZhxpoGIFZEyDgqGiZDawILZECPTbao7kLJ7nw6zO2aj20ZviVkw88cAfMOWn97/VtqdaKKJHjx6IODeYEjOTW92e0u2hkgFtJIEpMZHzl7EsDtxTmtKjUySw9F7aCLaBpJSM7aku/+GkamoG8Mub8+TWS4dDZhqTRLH0Z5ozMM4JwmJHncYTS4H+OUPXxWp4f/63a/B/nNpV909YYQ2Get+97GHMVzKFv+doCrPYsTeXtpK9+dr7GdJ5PODxypvQzeDR2hTx5dPHwJdSwZUXq3E20DzDs15Gmy79JIvsswLk2ay6vdqSSEa8FBVcNhIa01fcBYaWRkbQnOWDa/LNWKWeGg+S54PAFjMsfyypCq89h+2eM9XvwQAOB9a/OGn3gUA2Plsg0vH+T3tK1Bu9eiIx59Oqs2N4124TybJ6crzQMxG09MvTdf2j1K1bc8eS/Oy7ubgXO+jPdG4GrtOgkns7AZI1q4QAeyYyOJMfs2QkPZmA2thap6U0gpx1JgYNFHU8GFj/a+yB3AVWqxDsz0f6h3ogWAWnLN3Rytj4fbUeuWcRW2W85FdFT/SFaX3DrQpmBWnTWwgYmFsjUTJqpPTWKsNRfVwgUAmPiOUcGzjUSkIQb9U5CcFs1Cciq7h8oCDndTRo7MTPHcreaGbW42I0evLhNXD+dnftUI3S+NeXV+IyZ1Hh9PPpOy8Jw1j/njyo7ZtwCpnBl9fcVhmQNf+4QJtVj3AMa9ogEIU/dqvTNh7iQEJkA/Er42txpMwC6u2UVAvQlUa0BTecQGAqQtKWfWgtgVfSWMKezPcejp/BO8apG7t1dcP0ByXAk+GYXXA+kp6+IN3neArL78GAHipO8QfvrvokR12Pp8RsNeybWbZivs67EasT9LOQIOrapsUlG70NaIWZkmW2Bc3qu2HnaJ+LeNlMsA/GzoPXYc2sTI5lhwW/z977xZrW5aeB33/GGNe1nXvs/e51KmqLne3u22nbQtjQWzkREExIIiM/BKhBBAoWMoLUiSeEouH8MBDEEhICAlkKYZEiuIEhIQlQDigoIAhARHLl2673dWXup772de11ryN8fMwxvj/sXZVu3Z1N63TsIZUqnXWnmuuOeeac4z/8l1G/+3TjMZOYvV4m3HghhzGYRzGrcYrEVkYYrRmRBcqKWDerNN+nAWbAe9pc+r+AkwKD1oz7gn2ZiuAEdoNAYCQIbQVZHUMNcQWINT6vimEfKtrxepPtdoHkie46wzCiX/3LYuikx00gujuaTGwPw3iw7E42eHhOsbOv/GNH0PzmzHduPssYPNaPN7twwA+jVHAFx8+Q5+w/83JGS6HuPI9O1uBk73f4h2L8UXsIvQPRxw/iPHwdlnjmmKRsL6c4zgzOpkFc8HOgvqk4bjzsL1Cy4F9/EBptxgafW0m9bewnfJgfKWdpOCwJ61vLmP4wf0goTlmLbrX4/XYvlbh7Etx++W9Dd77VkxJqpdO2Lmm5J40gLkb//Gn3nwbX5p/CAB42J7AJrbm11d3seWYkmQRocWHjCF1eLYPDKbUReG5x+BzSkl73ZEpd4hIdX9CDfTHmVKgwr+ARg1m0ihjmmlkVnZAjN+HyIesnuYYm4SIm9gUglL7doVTMD94aUgeZYu0HIbEyRKAtk9D4Y1axkgWjFC8UbZlDbTrkSedxkyokiHGMGO44oKKTaEtFLSMtlSnmYbVZqS9HFw4E/kHYYjBT6iLFCfciAWruMOj+Q7LKt7U/XWDqtCNUEUn5Qq88+IO+uv4B9tOWKQUJpr5pGMsUih7ZbFJkm7GsIC+dvcd6hRiL8Y1TFf0jwsejCiVp2NxnXZD7KA5umdoq9LpDW6mUq1bvyKC14rrkS+gIeQEktsa/Um8IJvXDTi5rodAcBdJy2EszrVTBO5gSO6Ip/0Ka3cSP8ukcnTO73myAunhzRohW4Kfpdn+ziD08NE52A8Tka3Q//Ct1hTY6rWhwDKhsCG5vh7FZFsYTIWirczTfjdEHgW7D27M9/kUzN5k4Uw4pCGHcRiH8b0fr1RkAUDSCgAaNdwY0jsvmvZ9qBTiXUDHszMZAIxgbEJcgS6CxXlqXWxDjUUT398cB4RMHw4Rcw8gpgYZllsB3GuKIaF0w0JbNj32VuE8RGresEYtrHT10AbxvVjVPb724h4AYPkHNarr3GkodBhrRjOPx/4jD55hd5rSDTdIavaoWeNxdwcAMD2vtQi5I4wvYjWOZ9o9uf7sBCaXzmmBeVKWql52ag5t94tuQCrQNTnaoAKEpOdvu31cymg1hRF/ENbXtmOgidEPdQN4Fn+z8e4Slz+UQHVfHHF8GlsQu75CfZ726QtHegaGdcKvnATMU9R11s3xFf8aAOBeey1CMc4GsTgQSPXIwvI0hazAOLOo1nF/Y2f3lNEoWwqO6gGDANQ57fW0x/0oi+u5UBrd6HQb6YZs1KfGt8CUHOPntcflGNs9gUnPyfg9sZvACk67zXilJouSGAbgY/kgFfk9+8I8cVgKaFN81phxb5Ko0jYVjFDUPQhjelor8phVKS9vA7yI3uoDQYFuWBbG98eV8stLXYOS+5FzydAwOCMABz3P6lr35xeEuo3nsa47XDTxR790wLTQ7xFlLU+Ykrfni90c3RjP6cK0Qj++uJqJ76nt9bhiuJ+QsSuSWkl10mGbePVua+B2cZ/uyiAkj4tpbgtjpJx7MYZVeoDWJHoX7DQENwP2Zs+yC5IVp9gCrtOJJtPlMWuEAzKunKBbm6MOnzmOqKinmyWuONYy7KBeIcazTGTT3ODqLJ5f4zyuEy9oYovLPp5U11fSMSsba/wxCwA8YRrSNbqwmD9Jk/pajZhKrhBBW7cwUNV2wl66JqpYxKXQ2R7RsPQNEcV3EzCkjpAhRsjcHiZZQBwxWsufSs/ikIYcxmEcxq3GKxFZZG5IiZvYNzQuhE3Krgcb4YaMbNGlSGH0Fi0pNDg7Dc5NhaRDgysepPC5sh0ezmPX4dHRGn2I0z5PGtGwZSApEVEVxHyXByMFRjaM0BZLTjYsnsWlyTmPqYtpgjuz0r+vL1g9RFYGPgOl+jmuE2eFja5mpY6l2Rp4G1fGJ3yEpo3n7WyQyr5/NEP7Mh5vfalmy9aUCl0A3Y/X8ni1wy7hNbbbI5G2ry/qvWKfWDimUWI+xrVXUBpBukAxHE8fCPr9dijSFVZ9UtMY9PdSFPAMCLOEpzix8J+JMf6/8Lk/xGfaSKX9TfwwrsN9AEB1yWiSYK/t1bA41BbTMl6z5/2x6J5evXUphc/husaySCeAtHpnWvoQ1b0AgGYeJnFKqitCc5GYvFeE7f34gd2siKZ6LTizgT6FRSG41NoEF7R0xh4rWsSSa4DmGaJP0hVb1T3axEB1FPa6ilGk+vYVzldissgITgPesyOUFukNWb1vN6y0iMJH3gNiJ6Si+PkV9bhnIzjpzfolns/iHfzN1Qme7JJa9mD2rmWuHJNhIN0cPKoMHwIJ98MsJtjkI5p5J+OuEvUlM5C4gwNFR2WINyoAPG2XwkeoKHYbgJjH51B0XAB9lXU/KuRdWucx9emGeU/l8GwP6S6w0wnIdurj+db6DFdDnDC/tlqJ4tZw5ORhGdZFOy/dsMOKMR6n6+JYr0uZkjutz+ypoRc1EPKAL9qPNk00452ZtGn7tcHJnfj7/dDsOU7Sb2mgmiGlxAAbfUBtBzQv8x9Ul6LvKwyXcXI2GzX8kXpSrTaFVADQyAX4LqW010VqFVj8W4edTq5sAV/YFMqkyiRt5XJEb5rimpUTSlaLnzFcnRYlE4QL1NpRJPYq42USmT6m6/hJ45CGHMZhHMatxisRWWS4d1S1+qja1chWMO6WgkQOXahkpqzIY5mm5YXpsUhLqaGAxDjHyF5MlU9sg3nqvIz8CFep4vTB+hgXm8Q83DlBGdnViJOjuHr1o8N2m9KDKsAkfELdjAobL3xIplTMNOcVqsvENN0os9KOLM5cs2cGfhbP6ZKXsIl23J8ETKm7MH9UhDvFSkOBxL6QHrU4+mbcbvnIC+09WILNUcmcVJGqZbiENWnthNePIgT6g9ePsO1iwbA5M7LKDkckofJwHPc9rTyQiqQYCTTqNVB6P4NFHYskpRpaFui325IAkkIFAX+xI+xO45fuXmP8yCqmjvfcFa5S6+DJdondQ3WiXn6Q0pAhSJSxeMxYvxPf3z6o0J3G/XebJWYFHkVEiArGbMZtDGug+clYVJ0TY/P7sdvUnCsMngILrHv+lNHl674GhhyBFfTz6kqxK3siOgF7cHKl9e9bL7Spi2ZMQJsiC1em7VAYuEvsqO+nYO/3ZFBBDisBVDmFKCeQka0AtEo9CwOWFGWvo8JG9tmzlrUDAnK9+9gMOLaxx7aqOsxSG3VXtaDUAVktOlQJ7HK9a6TTwAy4KoV89Qib0pBtX2GXAFKcUg87akfFtyStPLdTjkR1zWheJGk1r60t8gr42r7O8qCaUTkY7IK2RYeCfzBq6O+6gJBqIr6yss14x+PzpzHvr4zHVSrjL9sem0Vsa/THqjA+LhnTXHkS8YNBiVas5xqr/BlYBQ3vPcnEEa9Jet+yenGMhCkR1thobce32kK/8jMcpTTkx+48xbOXEaE6Xln0x9nDw6DapAfEK3J0nGtqYSYI1ZzCPmcDiCnilIpe/X0v4L3z5wus0wQ+eznBbSY51+o6pdIe4r/iB5IOSFgESUOmYPa8VsRbl27UKXJaVHTc2EBqVOu2R+vSc3GD554lJkc2sPRpdLIOachhHMZh3HK8EpFFHmVINAYnDmWVmVTaHDH9kM+k1WVue4lEOq5w7uMS0BoFJx2bAXPpOQPXPKbttWg6BCfRQbvuRVjm3mIj25zTTKIJYwlNKizN6kLTs6thE2x7Sq7oEyChuZ8xKDECnerNorkMgjHYDAbXbyXG52kPPk/FznMjxdZpqdfMnTvhJdhO8R27Uysivb5mKRJu3iBsX49L1p3XL3C3jec4syNmKY07bnd4nqDM/YkVvESoi9Qi408qPRYOpFBiYnBmPzIk+gjWC4aCRnV9B+/Dm8XeD4pb8E3AeR9Tj9/bvI6fW38NAPCnjr+KZ2/EYvXvP/sh7O6l/XtgGSkgqDZewv1qy3Jt2GDPbLkERQHAsGZMyTagOeqw+TCmZ0dftTj6Znr/5QCffEuMD/DJN2RYGI1USp+XnkpSrUDufSCJNkvhpZvUAAXGaQQRBXtT6mtYGwVs0KQ0pCH/qYuch8jiMA7jMG41XonIIoDQhWpPq6IsZFbkxYt0ZKtQbgoCDw+lUAIbjKkeMbITiOvADM+5DmIFcwGw7NOApTYxb3uczOP0PncDzvr4iWmyIru+WHaoXdYOsOgTgnLoK/hdWkJSNGEGI3BeJs3R+xPCmA2EnhvxKF18GEAJ4zC8nIk8n+0ITVLotoMt4OaFVkRAgSAt+/ykK1yxSJ0utnK9d14jt9p6aQFHARetU3DSwjCpMGosay2nUKYuaxZ7LEdP4BR1caUmzWbUY6dJ9Un3at/EsnpupgbvDpFpOjcDHs5i4fOr9zuE9xISdWD0SW90XChRzddUEARjLQmIkobjKiNvy6U/tUKfzjF/L/6+8ycB1VXCOBg1dwJswRzVCAUodC5K0mK5dBuWKIcQ7QaAROArLBg0ugNc2siaIFYAtfHFM8USTYzBRsm9HzicRRo3aemZGzLCoWc91CaVqfdMkW9YHybxIXShgi/AQ2OqAveBBfr9Iizwwid/CV/J5Wsr1a4Eoq8EEEO7WeJjzOsRx22cUM67mXZJAkCpcMXpzuTFpN2S3qKfZfyFEXASTQROKkrtWcD63XSXvAfhWgzLOMEAwLSAYCjcVouaXAivRKix4jLyJDUcBdhE1e4nh6e7GFav605c2q6GBj6B08I8gLNdWhVgE0itbka5Lpnqz0wCLuNgwClF4bJ7UzwczBAouR+NGBfbDjJxmFEfbFjg5XWcCAZvMaSH46jqZLJ7eHqB9z+b2LPvWbTnGaClLmDjQq0BxxlJAdPPGH6Rrn2aLMylw/rL6Xu+OaE50/xxdz8J4QQWz49xTgh1TrkUj+JnWnA2Q5H6NKEoWLJMUjSRgnzA4NwN8YSQi9vFRO2LTlwACfR7CFYwF42dIq7pU5BDDmnIYRzGYdxqvBKRBSGmFCUxrBxlqFT+/duFUJF1WrBXU1TSM9ByJqHFtASI0cd1Wm6vp0a+wRILjgPQNtS87SX1mFejuDzNqlHYjLuuwpSLUXlVCAVK0TGQEZ4E/vbSjgAAIABJREFUjDb/QQljU2vRXMTjnb3wwjptXxLG3F5dGjH23d1X497Yeou7ZILobzRnLM5f/drgeoix8bPKSzE3h6gA8Px6AZ/NayxLMdO0HlUu7DYZ0wJMPqNJCZyu+xSAMH30tyLDAiYgAlyCxYeaEJKmpbcGxNo6lbA7AH2CzhMxntUxMrwcWnx4GVunV0+WqM9NupbA1Vs5HdQIbJoRhqO0y4aFucnEqF/E8549i8cyex5Qp3TD7TzGZTrG1og3K5gk3YmCNGnftb5GgCzToYKgftkWxsslcvjmI5E/awo0rAtyT1qjKXxU907nTb7QpiV8qr4pXpHJIo9SjLfESpiipgDoJOHZYJvK5hX5QsxGuxIeBkO6ogMbBBH+jZMHALz0S3yri94Yj69XGFPY3VSThHDXpDLws2oSmztA7e0uu0au/8l6i2FSOzkggrmm6aO0xYkYbBObk63cVNM8amMCQHdq5AavrlXgd3bm0Z7rDZY9T9zGw3YZVURaLCDCcBS/wFcknZfuopG0wRBwldKpsXfi2MVVACWY+2w+YJkml5yGMRN2ScllDAYu9f13fY0hU7KN9vaNDeLD0VSaovlgMCZhmWkyGKsU4ndW8BemMwipO7QdDR6lSSoEwriJ79fPHBYfxO9qzwKqbXqAXEHxN4TxRYHtya71W4YZU7qbrmlwWu8ZVxb9KqVNjXY4hnVhW+nVcrL0jKGg3JcwCyJ2BEpcozQ4b2MAm82WCw+WKKKjnag8wfeTw5DEjLeTwZhStFXVw7gkEpR8Qz5NzeK7SkOI6N8hoi8T0e8R0d8mopaIPkdE/4iI3iaiv5M8RQ7jMA7jB3x8x5EFEb0B4C8B+BIz74jo7wL4cwD+DID/mJl/jYj+cwC/BOA/u80+I6xbm9A5yvh2RZg9ZmohmtPSuBeJ5O0sMbqiHJ/xFR1XOB9jOJ67GQCwG6o97EQuHFnrZbYevdoOMJOE4QD2XgPAMLjohoVI9OJcMHUM74vKe6GVJv1zJuAopycq61dtSxgwox4zO5FFZ4IrA9NlDLIWO30TBXvih1minZfnC4QhL73FCRBkdZzVI+4vouDMZxdRSr8PDi/6iPa8GGbohhTBeJLzBqCRCmvU5WzAolam8JiuTTc6XKTozhsgpOtuBoLd5JTHoS9l2Asrh9zdYKshux2CanCAEVIKGBzB507RwkgKmIuq48JgykXpue6bfJFuOMWIGD2d+DsWaEsur/uk90k+pzBjcK1F4VxYJkN7v0lGgnJvRcuk7LAYYjEMv6lTG4L9vmpwOgAzIhoBzAE8AvCnAfyr6e9/A8C/h1tMFgaMsQiJKtKWT2UmybtKUd+9CWGvM6IipQvTy3YtsYCyXgbgceqA/O7mTXzjIrbe+sFJicGYgO2gHZZsg1hZj6s+qWwNlTBDAxNcyhs322a/NwkgjAaUwu5xV0lLFQyhuQOInh9IIWkudzizpzCVYcTTXENqMxJ2iefQXFi4XQGSMkltKrDAjocj0u5GbzFmXsmkrUUu24ZO+SM/dPQSf+Lk7Xg90vW99q0Y8hpivNhoc9rkWocpGMGWUSdw26wasaxjWtPaUVp/m6rGIk3YTy+W6BNSiiaL+iJNNFuLaZcesppFBAbQzs/u1IgwjxlVDBeAeL0wQV3uJ9IaR2HZUKqD5Wtku8Kq0qkgsW+BaZEpogmyj6iGlrtDYMDsci2luO4OKkVAxfrBkPZ7SVennZVO3FRP6BO/yIAFBl7f0OasjYfZv0X/yPEdpyHM/AGA/wjAu4iTxAWA/xvAObOQMN4H8MZ3+h2HcRiH8eqM7yYNuQPgFwF8DsA5gP8KwL/4KT7/FwH8RQBYP5yhZ4cuVLJKfSRqIJX2/ziBHA+68ZkM6JqwprhiGaDwOuW9Impe1S6qVtzJQlAPVGaIaW43OtWoGJ0AtMiwSNz53mp4mRc6T2CTWUk3L0j6vwvScWCCRBxmKraBkokM9sE8UoyzkKq8fD59UV5hfauftRuj+qBFuuGNHj8jwKZrsKp6rExcQi8StP5imuEqaT9+eH2Ey6v4vr92oGwbYBWaPBpGn0Ltrq9gT9JvbEchQjnjMbl4sue7FtnbyQ6RpQmk4iLnSCtC+YG48uYUwjcQ1q6ZtCDpa03FiDWst1DXMNGPKEynzFjgJhq9XmC9pqFmvXaOJfVgw3I9AJUTpEJEHQwtfDKB828zkHRMqMCsmAHStRoBKXbGzki6J25GukzfN2Pkfw7AN5n5GQAQ0X8D4OcAHBORS9HFmwA++LgPM/OvAPgVAHj9xyPHuTUj5iW1PP3SVyJYuO9IdpONmjsdlkasbKzQn5oNTlJovChQQCMbnIekwGQmkdyvrJfJwk8GJqUN1gY0WaeTCdebeExTpzR244Lm5pMBdcp7AABbOKebiTAlHc1p5YH00GAyyKQYKqzyprl2QGhS8dc91N8VCVOx2jIou8G3hHGZJohac+rSgJgmFcgh1nAcQVOhqQl47TiiI99oz2WSeHsXlamupxrnQzIo7mv4q6QKdmlRXRYPqjxMScMUMSUajhR1uEhV+z5YYUqez2e4QgSOgVXaP4r9pmvck9QSom1i+m1GdTQPhadJtAgoUpJSlCa9bce8D61T+FZrEqFSVKUZiuuraxzMaKTO5GtNH2xZ1yAIt4crIOTFpmATl/uM8v/p2DzgUyclFJ0RZ8KeUtZUSHA54/FppovvphvyLoCfJaI5ERGiGfJXAPx9AH82bfNvAvhvv4vvOIzDOIxXZHzHkQUz/yMi+q8B/GNEQuVvIUYK/x2AXyOifz+999c/aV+EGCWU6t6m4H1YDnvbmxvpB5DNkFP3hBhtiulamtBm30wiSUPmNOG+jXHmW80LPOkjkKepJgxTvCx1o73/abLY9doFzrBmjAQR2GASHoVdBkyJfRhSIZM3ViTiwOpeBscwCTodLANZLGdjtCjWsEQo7IqQ1WBPOVuCLYZ2Q2wRjrcagtMYDZqBKOoiBsdWC3bBaqGNGo/TxEy1FHCRio0ZuLZ0A55s43WcgpEwmiaL9nnODTQdcFstNNarAa2Lv/fl2EpksXQDXDqp3uuqaAZCfZn2H2J3In+BrOaTQqmLZhmM3+eoZHQ0TUDKfmAGvU6ZpTstVM8ivq9Ri/i+NgqiKqM+piJSKaKZUKlGh5lQSBUqYA1eP3wjk9iXKCz+mGHdczfsbV+6+X1aPYvvqhvCzH8VwF+98fY3APzx72R/loK0Tq/HBj4FPq0ZP7F9asBiBbAwvUwWVTGx2OLSBOik83Ja4lkfOyNXu7bEL2lK4glVuvlDMAjbdOksi8+HdV4ml6qaMJvllCq+t1nUGK+zOy9J6mEqTV9o6yTk9POgMvEWkreWLTnba2pT+m2ECoIqnBY6WdheJ5QyJbA9a7fFQWweQSRKWKYK6sIdKqkLfW7+HABwx23wudkzAMD/UX0ef8gxPRk/rFBfK2IydwumBRDeiP/45z//h/hj80fp91jg2RDTjZ2vsEuzsSGWzkFzBiHcsSWhmZupeKAZqPLkGVAAsbR9bCbeswzMdPhQOJeHPHEWFpZg7Uj5trimAZIiGg/YayXHiYiO12MMFeCyxWJfpiUGoU2gPmJFcRadETbajg0Ocj9Z56UDkq8bEHU3M/nuZmfkNuPADTmMwziMW41XCu4NaNGysv5GyKS6mx83Skp7/nceHzcjVqQdE0tBZlxAqRxEDOaPvj+NVvUlWQtRfs1o2xjRLNteQFwZJFNVHliMso9sJxC2Toqh7ROr9OkW4kTFBupxSQr/tbuClu41ZDajVuJ9tR+uliH5HlCIdD951SZW16tx53DexWX2neoEddrRwzYWPRujYLjXZld4NIspyQu3FrDT1KpP67BiHB/HtGblOilkX/tGuQ0gAXq9vFqgvkgr4xULjiRUhJBFdFhxDmXkBFIoCzEQMpCOIMxQ30BuFt9AOxl73Sb9DaRWWODoyEPwHzQpRgMBe6rjuQMzLdSiwJGR38Z2GpWUgDK26mQX/512XzNcMqdazAYpakZuCBWv0z13I7W/zXglJguGckHytW3NKClEYPOxyM5ylG1QC7UOMGBJPwwMQpogOiY88/Fm/sbuLi6SE1UIJKnE0FeShrjKC69j6q3m4zsrdQW/c/Ap7t30NZpUv8j7mzcjugSCqpsJQ5LqH88auE1x/HtpZg51tcZRunSbUW9gQNt5fUNSdzATkG1UIqox7TloSmMmCNjHDmpYTCGgvsxPQo0Pkm7Eo+URZov44aOk+XFvtsHP3/0DAMCPzB/DJA+R/+Eza1xwm84jaM3ktMePnsS0ZW4GWRwedUf4/Rcxhdl2DfoP42Qxf2Sweje1V196uF0inlkjacA0Nypi62gvx1fFLez5cFhJZ3RbM5B0W/JENxwpgAusNR7qy/pGIRnQ6STi66i0BUSgVm6j0kDSOrV9Qf4z0IncYc8ugMtJKrfZqwBKqQdJzoKPaHDKj4xIGPw0VYtDGnIYh3EYtxqvRGRBiNFCtgMAcMNYqFh1b6hplQAtBWIpRb0m5QMHBBG8KYclFig33ZiJTcFj8KlLgt6Ki1WsKur2GaA19A5bo6sBABjrEVJFnwMUk2GKolUFDE3xuXxcYX/lo2IFymE9hf3ipSkr9Ol1qCH7ZCpWlSI9cb2G+G7jJephcqgvEt3/jsVunSDvJ/H/Z/M5TpuYVrw1eymRgqs8xqPEc7AMarNoziTKTWfTHB/uIlf8q8/v4+qd+Lq6Ipy8E49r/mxC8yLByUcv6Cuyqm9pJpIOSGgLbkhBF4/XQrEYbqs4CrfTKCOnGTZVvEVxPH1O8BQtRITGTIRsZDfNlRUaKojSGQzL/WN61R41I2ThN1OR8pjityetsVIBmLsZIEwS6uDbjupT4ixeicmCkVqfhXKPBUtbNBTozAi+Su1PM4rcnik8R1ozYJG6IStDaJIjuCVCl1zUO7a4TPH4GCya1LZzNsjlG5jgE6GKh0qQlQD0XhtJQkTaWkyplkG9KXLeFM6uJlGXIkOq8VAFTHeTqO9o9AcuJiHyBMrh6q4Qcy1QimVuHQpj3VAxfAqByZMApMr9u516l9QXE1wintnrAXWf2nBvD0BCoIZlI7aCl2/Fp2bzZoP/074FAHh2spS2XdOMCHdSraEZ0SQ+CBHj2S52oV50C3zja9HNfPl1h7e+HA9m9mgD6nM/0wBDfoIY3CZVssbCbTKC0woVndhgm9q006zkfai7W5nCuR1LrcYOQdq6Y5JdY6OpB0gn4GnBCpJzQYojXAUF2wVSkJ7XCWJP/rCgsQdb1JACSa831i/yRhA/kTCREBOdDVJPqo0XFTFzIz05pCGHcRiH8f/KeEUiC8IY7H4xJuz7mmZBmzHUosHZh2oPxJVTmEhRz/gLHf4GHze7ls3sIFqbPhjBWYTCuxSOIwArHVvJbMyv7ZUF0orltppC5BDZTxVCEiXhuVdDHk8atQTlJ5Av/TlJVhEzYV89KeNCgr4/VVHrEYjCsyVD0hQt9lxZD5Wa79o+wOyygKduS+MEdH3aT482RRxsV2kfFc4fxGLk297gs8m0aF6PIoQzr0fMEmy+n/T2e369QPs4/nvxKGD2KHmXnl+DryIVnqoK7DNfIsAsF+llCz+PYYMZWfAlVJgJxX/nFxqNmUFX8ODUcKj8XC721lfFtvU+27dc+SW7MxBmcYwmUso8aJHaDPvdqZwqsSmiBrAA79hB00iHPT5PZgSXGIshWLn2BirYG37QlbJK8FWpbWEpiCLW1tdIwt1oMMk2IagDe0UerRDS9o2U2/Tve2bChyYRzIixGWvZT+56hJ3TB9qw3ilFrkgjwW7TTdCRhKm2VwRlBuC4TYH0a63ks1H9Wo8xP/DxJtT9NWc5ldDK/jQrKNQFQSo0rECsjkQQ2AxalQfUCrG5CHuU9lAnnsbTC/AmKWGNAzhNFqgqmCnJCbocpi8xrOPdvmXCxTIK2i7qAZ8/imjZLBQLAM/6JT5IEniXj1d48Hb8/uOvXoPeexyv0/VGaxOVQ6EfAGpTB2vRYFwnVfWVkfbxsNq/fuU1zh2hcVVycFiv5Qhxm8/7K0epNM62+M06U9DMSR5y2xXuZCNEIhEMsZBE0R43KFCmhGKW0vuQPGQyZ8OF0hnvcUPymNgIqK4WL57b1ywOachhHMZh3Gq8MpGF0GhvCOAA+zBwAKJSlTsVedublPWbI0YZyu2+l7ghjZmwShT1x7zWWdxrKgGCpiSBYFKxykyqWlUWG0t2oHAuCqiu7TXMZKdFULujPZyFKGJdK8iq5HqUi0OoC6PcShmXAPYYrDkErq7LTgDDDMX1S1Bjf+8ItIyhkbm4lr/zMCKcRWNQU8fVqm0d5k9iajCuLZ4dxfTkeL3FZ5cxJWnsJMW3R7s1LhKNvX5h0Z4nzcttEcGUw1pQiiyYGZjS9hdbuEWO3wuQVWvlNRuNBiJLVXebr5mfEcx57mqoXYCvkxzBnOBTiuMLAd5QFZDxsbgfgvJ2KOhvaTveY/jK97dlhFKkQkxAo89HxlZQibkwGnQBEPBVmUcO3omm7PedG/K9GhYBK9vBswqIli3Snp2kGI2ZZFJY2U4mkaispSjPzmSTIa88B9gClOVxlSjqJ26DdRWLDXU1YTumnphlseQjG8ShHBOpTeBOiUuAIvPGNcMmzH9G9FW7wgrviLWVFwp+QCHI6nZKSy/bpsNac+uowZC/W5WZ/Exv4PpcQUvVNVBtcsVfXb7HpRG/C2JIStI8HWOtAgAPg6QEsDb+GwC/OIvHy4x1emhDVeNsHk/2HMDXqwjmOm52WNcxrXn/4gjm3bjN6htA+zT+BrTttCNIBCQ/ESqeBrOYA7OMLqM9rkf+PZoL/ljA2rikPRp5lZwpyQN9Mqvujq3k9BkRWm0VzGUG9TAxE2nL05MC3UYFaFG4gbQtaiNSK+oIU5xrMbUQAh8bVhd1w4JEDbWSC6mk2TOJHsjCDtikm6V1I+pUm1u4AbWZPgIV+KPGIQ05jMM4jFuNVyKyIFKK+sfZF1rWNKSEdZephqGAkOa+LTcYOS4XI08C1moIcMiRiMGxiSvckd1qZOE8drko5LV3zZZAndX38+zeMFwuXHkN940nKWD2CfZc1tj8Iux1VKZUKXeFAG91RXBp1auudcV0W41a2EWXsfxawustKc+gjxEFAMyfhT1ORcYQmJFlJfVOOy9hXsuKYuoavIvXiXc7OU4kGwNuagnZqw2jeRlfd8sKF3MVMMp2AdeXM9SCN1D8AM8amHVMYXgc5TthSL4LbQN/HDEafl1jXFo5p3yRp7YocI6MaqvXY8hiQDOIupgZlBMDYE9RDAB2a+0gmHG/yJkX6Ehb/2jqY8YCYl6C51hFfJhYqOvTnNAfp32jgK3zfqdGPEdqxryNYUzrtIjcB7fHDSl9Qxoz/eClIYz44G+D6kWUPiCAThJtQVaKdYr4RIxsMaQ+4MAWG4776nhAJfUQRXPOqcaDpKb1xeYxnk/Juq+9L34f08yp+3co8PmG1RLx2qgoKzRdYCoe3PRnP2OEWc4HWEJX2lpFWFbaJiv3Ny5J5Q1qiMO3bwvV6q2CfepzoL5ILb9NkHTD14TuTvzA7r6G0vUFSXqyeDSifZTalR88BW+26TdgmCbG72a1AiVQVDiNd/V0Z4YgFG9CfZHO6cMK5yFe3+64Ei0Q86QRH9NQA/1p8oCpLFyaFMxmJxMEEYG7OHGEZy9gUxs1zO+qn8fMaPuRyroRw/j8UBosr9JC1CuRa1gZ6WARM+qr3A7VFCf/Zq7XFGecE4bjNLE0RS2jZoypkzIutUZlh6JWNCmSlgsgHVsI8C445aSwhfiJxGP56OO+qnsRTi6foSFYOPEPDtj5+iNSe3/UOKQhh3EYh3Gr8UpEFmCt3pa6mnuCN2lGHNnuAbFQRBl5jOz2WaqZowB9b4LPUpeoyGOZqlirqsdLioVPDkU3xAKyrExG6LFlxTtUusr7huEzIzBDfouCKQKBS8DOkDsUtMfvkM6IRrcoWfpmJLjYlEDzUuHKJXBrnJOE3RRUqQocIxAAWL83wW3TtbwcQDttydAshjGmbYA2L3EMTqlF/1rMg/qTSl3D2xvhcr50o9WiGqm3iW8oFhUR8SnkswpWAJJgLzsLuk6WhcxAdl3vJ7htgv1PLKnVONO0YZyb+BnE6EoAVRNJGlJtWaH5FaFPPi05ahjWjOpKi9ZZ0IcCUKUohCbCuEynRyQSA6HSa+B2pHyhSQvUe0FCkW7syQcUoD2gAAcWnUFA+VSl5uZNBurEny5WeCUmi5BSkOx3CmBP6bsce8ZC5IVsVtYvSor6+G2yspE9fI7m2CilnQLa5FPRLgfxuRgHpy7VowGn+J2dEoSItQXKTdAfMP/fk+hjmCuHJvlwuh20mj7iY5F15BnsNFzNYr/NS0L7Ir5uL4KEsd2J0Qd3oTly+5wlPZk/CaiuUz3nrIe9TLWBoutAR2tweiin06XoRpgpwCdviv4kdUCc3tQfOYd0Uxsb1KbQFYCyoBJ7bC2mBLhyp420dO0QUD9NN3g/aP3CM2bvJiluS5jWaRI7raSG4mulmpdivMERbGqRVpcT6otk71cZVPeSD0f2S20IdkwEu46lBsFU+Ju6AhVbKzCOqXieSUloodaWKk2QdNGGAgzmiravR8E5gppQVUFMnR5fr3Du4gTfuAlvLuKK4IpnZ2YHPO1X3z/7wsM4jMP4/894JSILQFOO0m0sRxY3XdTLAmdOX0a2UiC1CLgMcXU5DjuMqdIYwDCyf4tFFjU1/Z7reg7XjAl7wK8cWXBn4a6zjZ4W0Xxd4CHKkC8vYwxQwmqU2pl2pxVxM+o+fK2u635OUpWfFtqBcZ1+/zgn1d1sSZWZWFcv12mqUl17VFfxD9R7hMSvmFY1bOKGUO/hl/H94biSVd5tPaY2V+N0ydTQuTAfriCGynU9yfXt2yArfyniExhqE7gAXJcjsADTxYtgploKj6GyYgJNu1GWQDOwpDN2AIaFdrbyZyPuRfElPoss11ZW9pyOBEfARq9pLoA2V4MIBNXXDpdvpc5dDU1D6iDCThMrg9iMJBib6hISkVHQqItLgWEiUFPck7lIbhgnq3hwtfWi0hZYlcYGb3E3CS6v3Q4LO3xbbduPG6/EZEHQ7kcoQFaScpQ6F2C0ey7pOrloSmIwpliwY4eBc2VYuyEAUKXPLmjCsY1l+ddnl7rvYKQz0pPTXJtpL9zee50q1VmzQU4QaZK5SuCyl4XQbhFaTq26cNtBK+7k9eFrnxVpwqSh7jRTl29A8+j6ijF7Hr+sutRrFx+aeDzDaYsptR+HhUGVagBuF0QTwowM2ycq/dxiWKftl5oeiSeI09qKrxmrdSztv7a6ktbp1WyGaZ5ls0glAQfVlTBTTMHy94f0MI/rSsG1nkE5/6oMppQekWe0T7ay/1nm6qxq+d6S9+EbQnDJ5pEVsLZ+Z0rX16jKV/HzjkuHqc0oz1Iaj/b8V8I8F24gtyFbhur96fGEwt/lIw2LfD9VLARE3jl8+MFJ+gNQJfnG+3eu8GAWU7TVrBMTqPd2d3A5tEJfv834xDSEiH6ViJ4S0e8V750Q0d8joq+l/99J7xMR/SfJQf13iOinb30kh3EYh/FKj9tEFv8lgP8UwN8s3vsrAP5nZv5rRPRX0r//MoB/CcAX038/g2iI/DOf9AUMFbXRTof/WCBWVeJ3ixEibja9Jok4DAXUqWDXkLYRRgZM9hMBS2RxWl8LPPa5XWIUdzKLkEBZ7sIKeMo3DBZugRreGstaiMpYDa+6REwaZk5LKD7ikoHUX3cdK7t0DllRphYCMAIUOmwmXZFdz3BdThkCbKKT+5mDbwrlsRQphNpgajQcz++DNboxvRbI2KhGZRaSmWYq7htqLcKGNqB2uhRXSYa+no0YVvk3MQKhLwVhKADVJshrEX6BrrgmaPF3nFcYV1bOOzRJ+GgzwKfCJwVGfZ6izaoA+bUqWAQD7Z4UkVX9PH7O7kbQlI5r9OhfW6ZrUBWqXZoi7jGLSQvhBI0Ygyt0PcvafoEXYSrEjqqA2Wm8Wdp6xLKJxdmrrsGuj9f15fUcu+SufjLf4eE8gl/uVtdwFPZYqZ80PnGyYOZ/QESfvfH2LwL4Z9PrvwHgf0GcLH4RwN9kZgbwD4nomIgeMvOjT/qem87orRn3eB/5fVOQynyg/W5IFv0tbApDMdGM7IWybkA4MrFi/CG2wis5sjs8bOIFfVKvRBvg4nIh9YZSnZltCdaClLzJMDihOTmhM6szi9mTNHGdF4rNW/X4GFeEj2kCwW0ZnLlVq4KXYAmz56mjcT4VaEQvYfpwXKFL0nfBqr6G2zHaRHuvNpOGt0Tx3wDcRY/Qxi8LzmBMFPRywhEqd6VpiK+B4W6qLd3p8GAZQ2FHAc92MYcOgcSlfZILmNrHWSHbs3yX7QJMekDtNsB0WQfQYFzFGdO3Rq6BHbRjM66qOBmk481dINsH6WpUl6NMqggBXGVUaEp9Vg5+ltq4lqTta8aA6iL+OKspoNrEY9k8UJBXqDhqoiCR4FIHLbAr0imdCILbnyCELOh0P7AsqmOzesRri5hCv7aAqHtPwaJLJlBXY4t3r2Kq8h4xmAmj/x6mId9mPCgmgMcAHqTXbwB4r9ju4KJ+GIfx/5HxXRc4mZnp01DX0ihd1I8eztDQhJ7dHraiFOPNfiE3zZDLam5OUBozSoHzRVignfIK1GFOmY0aUKUIZGEC1skR/K67xAcJlO9MQJfUnMJoVGS16FiUYqrcBJhU2HTOwyOvTCzb5pShu0t7zllCXx4KroIv+ARM6DOkuNI0pL7UdIMNFfRso4CkhcWYgFh7EOiRYbdpTZ8CrC1FPOP/plWzF6rLKAu7xcg8leGY4Y5iWLxadGJxOJU4mcrDzxKjdawFr2JGZYV+JMpavCAzAAAgAElEQVQSYRkDv07FyImle+Oq/TSF07H7lrC9lzpRHaQgyRZYPE6f3RX6lmRAfbZySNHgyx40pvcmjTwAYPvGPJ2/QZ2g5PPnAUj3GAWDIfNtHOBXSg6Z5pqfuCK9VGPm4nVPGDMoa84SGQQmiSYABWMt3IDjxPJ9a3GGIYUuL4c5Hm/W+DTjO50snuT0gogeAnia3v8AwGeK7W7lov7mjx+xpQCwSumVIr036ep5NEW7szLTjYkmXtBn01pSlYrOMU+feRYabBPg/t3xBFfJo+7RcIxHXVSWvuxbbEt/0zaHzPoglu9T7dXr1AaEolYBYE97giao/ycXuTgpV2BYpjeQqNeFLJxK6bEci2+NpAG7U6O59sDCM6g6llpDfTHB7pIzvDUwCXDEjhDqIn1bFsjKlMfvdRFSS7c/JnT30z7Wo+BlL6/muEy6FVPngCwb2Hi4JnUaViOoS2plNcukF0bSic4YUPr9KRT6Gw4gOadBOjzsCP1xXGSm1qjf6xGBJq23bO/FP1Rbg/njLHUGjOuc2uTUQ897ammvBV1fJF/eruCXOFVOMyPQnKWJvAa6WtXV8u9aGhdRUPTuTZucrDI+eUKdhKbn1Sh8kClYuYe/OdQ4ncUZ6LjeoREh3wmvLy7we5/CxvA7TUN+HdEhHdh3Sv91AP9G6or8LICL29QrDuMwDuPVH58YWRDR30YsZt4lovcRjZD/GoC/S0S/BOAdAP9K2vy/B/BnALwNYAvgL9zmIAIIXRbfFdFdLxT1MTjFVgQthrZmVBf14NAnA90r32Izxajh5TDHG7MId/2nl9/AWy6JyJoRKxuZlSvT4YWP8fPTcY2TOs7EjZ0wryJb8luTRUdxpeGhll56aIte92Qwpk7KGCBu6O4qh7+k03PZU69UFGdaahelfa4mwuNKQ3PbK6PUjipV390xKuoCXZmaC40mqmsvaY67Vv5HaJxEE9PMSlQSLEnkYnuNboIrVtm08o9rBs+y1QHDZx5HZ+CSTmnTq9KTn1mMi1ypZQEwkSeMK+VaCDjJKFgrVMrpsF0Qp3VAozS7ndCkrgeFCkOKkMYa4Kyg5ZQBOs0I24eJ+XodBLCWI4vqyqO6zLJnjP5ucpE/dgJVn73wmH0QgU9hXgGI+3MdYfNainhmEPp+qFm6RlSwSD/iG1LwRMQl/tLhookRmzWMszYpmhGLAPXnT5/jyS6mG+9e3cFxG0PMddXt6aHeZtymG/Lnv82ffv5jtmUA//atvz2NAINtiHTZnEp0UG5Izw7bKT6EL8eFpBj5IgDA6/MLzJIs0S7UuE7bBxD6FH/+/u4N/A6/BQB4NiwFoPKsW+Io5XWGGIvkd3E1NgIgausRQ2pH+TroQ1mqX1veI/TIQ5HC7hIEVQWdN6Z5wS/xejOEWm/k+kJBTm6nHILtPSN1kNJMyG2BxePUjbj2cKm7UVaXxnUtE0Ss7uf9mAIyqPmyrzUlGBeE/iS+3j1I7dc2iDeGuXAy0VGgfZvE3LIeCNVlrikUPArLoqQeamDzMIXsOxZVK+ML1/eGMNSJq1OkSvG78yQ5YZXTFiKMCc1ZcmhKANg0M9idxvsjO7RXjzqYbeKOtLVOul0AmzzREq6+ENuooSJpZTfnOpntRoPNG+nemAeZjM1khOfjOq3/+EbBXb4FxnWakJcTjhLY7Xi2k2fkmy9O0KeU7u3qLo6XaZt2J14uC9fjbJjLs3SbceCGHMZhHMatxisC9+bIFCVgXqjVXqfl+0m/xlVKKx5v1uIedlTvUKcY9eUwx4vuXtzmcoVhiKfWNCPMvThb//TyHfx0+y6A6EhW4ji+NkQ3rG/296QL81X/QEArzISQRW8LwBXaAnw17IN6blrHUdBZ3M+E5R6BXWnari9VHau+1NWTTaHixAUuY6kdFvJAlciXyw+9hOBmCBJBjDMrq2c8prRLq+F7sLH7kv+et55mJLL1/TEwHqX0q9L0wV0rVkIji0KLkllBS6OG12YgjOucnqiILRWapMGRiOhiUO1TCsooDQ6wWa9yuX9+Aq8PZVrGoFSgLZHPEZRm5NoDwHjcospR0XaAGTIt3shxVdsAWyqRpdSnP7aRMo8YFWZd1jEYjMfJbW/BGLOUADOaJB4cKqA7Idkm4yyMC8KK7ieHVVJ7+/EHj0Xy/+lmiatdfHaGyYrYdTdVmLthT+T3k8YrMVk4CrhbXePJuMbjPlZxXw5zwa0HJjzZxtrBs7OV+Im6esJrd+LT8TP3voU/eedrAID2dW0hLUwv6cw9dyk8/8BGLA4NMX62fQcAsAkN/q/Lz8Xv6pbSmlo0A0ISc924Br7LMTMUbdh6UEpDwmiAvrj7kAA1mQxW0IvNQGjO405W7wYJXUExHwcAt/NSwfczi81r+UZVQVnXMZoL5VEMaw3NM7Jyd2okNK+vGM1FkO3Frm9R3EGEPRRpfxI/Ox57SbnsZZp0L42kCYCmPIXdLBj6kJckPDaASZPx1KskoZ9xUatRApjbqNBuCWAyBf18nGvXKpr25ONh2JxC9DpRV9vyGlhpgbbP4kxXPblEWMc6RffmWr7HbbxogYTKwAypfX7tJc3q7zbYPEx8pVPGlFIJ0xHqF/H6zZ+QpJ2hAnb3jLwWNbSeUD1P7fxLi6uUzvCCsE5o1c4T1nW8Kf7YyZM9ib2sYfGiW+Ddi2OBBtxmHNKQwziMw7jVeCUii4kNno9LXE0tdl75G9dJkv/ZZoEhzYDLRYe3jmJ344urpzhKAIKsdAVEXEaOJn6/ex13Xex63HOXos25ph53U1/62Dg8yTaBCKJLeNG16MZsqsyaYZgAtAlM5Emo60SsrusF/l+gIRYIOezuCXnZcx1FejIiD8KkENkWXAwKHJ3DEWHHCtIpWZkF67Mikfa3PQvNGqQpge0Vq+BnRmDbZbTkK5JOTX/MUlyLTuA55cj/1wJrqBSKQgH7hWDOQDPsdToyPsGScmWmpYKWiCFm0nsMV0twU06FVH2LLSSF8RUh31psSd63g0KsjVerQl+KGQ/5nlzDJYGg5vE1hnvJI2XpUKfOSXXeA1n9a15Jx8jXKlLERBjvpO858fBZDGhWYflu6hqdMerLlGIcEUYRD1aaAJgwXsRn5Lx3WLexU7NuOrmHfSHSe1JvxF39qNqhMnfwze8lN+T7McZg8ag/wvubY2zH+MPcaXf4saMnAICfv3+2x/HINYU94BZYahDf7O/h2RDTlroAa21Dg5+oXwCIE4RBnDj+cGT8Tv9ZAMD/fvEFfO0i1j4uNy2sTbyLZlTh32AwZn2IxmNKNPZhW4GzepIn0C4JzUrezPIQVFcKxqmuVRuhvpjk4fczqzd+IIxz/bnEKTwYeZhtr2F0WeOQiQKxDlInXoQZWKjaw8oo1dwWD31BlZ4WCgCj0cBdZrp9es+X4bJ2bEpDn/LfZmSZoKaZbu+6giRW+L3Gdm06lhZC7a62DB8yEEr3X21ZJt5QKwU+OKXVDyuVx4tI2lR7uJyKNCrXZgyGu4t0fh7No2RSRYTpqE3bWLiz2Hp3H2zB68SDqdbYPEycphlQv0z3hrfo76UTfNjjsk2aLFuD+ixNwhtg9jQew+IRi+r47gEhPEigrGWPyy7+UL23OEsgOD9Z/OkvfFWu/VgUZo7r3Z4v6ieNQxpyGIdxGLcar0Rk4ZmwmWo8mF1hsYqh1GvNJe44rZb14kg27kUZ82Ru/HJailJWH5z0jwMTHlYxbXnNXgpdfeQyNraFo/qIMeUKQ1fBOO2G5BTDmIAqRabby1YgCUQAp6ImjUYYlZK+7JSG3bzULobbMpYfxu8nVrq17bWoyYbgQsYAWNQ+F8IITUphyGunobkIGJYZUqwrfrUJErmEmqSLwKRqXWDIMuJnJDaIZiBgyCuiepzY3KUhBcyRVzc1CkWkMEE6B8YDIZTvp68vl7ArVmh5g70OiEQ5vvDesCjEbfexInm/5JVW7yvWNG5SXU3jWa59HuRDITBsEe5HPIXbjDB9PHg/rzGk9+neAjYB32aPNtg+iMX7aa68oHEV0DyNj6F53wlcPtSMcZW3Abavx9fu2gh/pLoE/IfJMPw1QljGZ2H0dg9b8b+++8MAgPW8wxeOn8djYIMpGEmhbzNeiclibkf81Pp9WAp7/iB9IWOdJ4K5GUTT4oP+Dl6MkfDamEkmEWc8fnQeU5gTd42ThNTccIVNyJ0SRpe2v2SFPe58hesUzvFk4JOGxc45mDqGixxIJgUQA2PurRGEHc8QwyG7U3WsXFqprxmzZwqUyrUDmgJsomGzJaFhszOizQBDGI5SDeeDXpShzBDQxiwL/R2nnQCrmhBlLaM01Kl2jHxpmLQ1y0X9wBJL+9ft1NV9/izt2ynCMnqFxv0Fqw9qBjgBUQBXQFMbnURKtS8z6jbTTOsnUXMj13aUTFfyKIIjsQD0jaYzw5JQJ48Ut1PndDCkq2GGANMl9OeY1XJJyGNm8OI0PxzVQrZrXnSw5/Fp5nmD7Ztx4ujuWFk17nx1wvZuamHetYJW3b01waTUtXlu0J+m++BkkN8yWEaXuUbEcOmexOM5/AdJ/rBlXKfa0sXxTNqrd+cbvH0ebSSfn61w52gj3qe3GYc05DAO4zBuNV6JyIKhSlm5JzwWoCkDlm7HyBbbZMflYYRF1weHdYot32jOME9pxdz0WKRUZWUGLFIYWRW0UUsbYaACUK3N3ih8uzcICcpME6HaJMAOQcRvQgVFWhlGlfQ263MFOM2fJpGdtzeCGSDPoCFFGcMETAnOu+ulQAY4mLw0LhyW78bVKzRWoNxgxrjKvhoqrW8HlpQk1CiUnAomqynCd4asgm6nHQtihYS7TXJ2hxYFo4u8phg5PyvBaBRYWLXGF9ergGiXBdEYMRj5Hin4GmXnEit4jSZN40JFmBJGpLtLSLcBQrVfBBUZAA+YLkUWU9GJyopYux5hkUKbWVXIB0BYsv1piyaL4uxGYfISG3Qn8Tx295zgYdbvBOzu5jXbSedn9/qE5nmKXEwN9yD+3uO2xmwd7/PlrBfVsWeBMCTBZVgG0r06fX0paeSXz2a49zAKO33pzUf4g0f3Rdj3NuMQWRzGYRzGrcYrEVncVOwGbjiTUUCbsLrPpyXe3UVpsJXr8EZz/pHty9fb0KBNSM17VgumHoxtWs2e+Tm+PtwHAFxNDdokVXbVekFh2o0RM2IoRAKhhjhEuUFz8/alEXXt3O5bve+xeDfWT9gaWbFC43TWZpaYJ5yuJUeONYv4un7ZwVwm4tu8ASfjn+7BDEPSn+yOVfZtXBCGxLkjLjw0LekdwHrse3YBOy0w+kZRkM1FEHSpyOo3ipg0E+9pXqjVgRYUsSvYlFZbm27nZdV2VyPq1DL2jYHbfdQAOeqB5NeqVQHWSCRYACr3KShVtkY8XtuzSbAsNHqJ9pDsBLhyoDFFgN4DiyRVWFupt7Aj9HdSlHraSA199V6P9mWSt/uMw+Zh/P7rN0kkGs0EtM9VrCfD380IhA9SRXQRMCYqw4YY/8RrHwIAPrM6FyLZW/Mz/NaLKFD36Okx+Dr9yIPB5jcjLOAPlndR/9glPo1u1SsxWeRhiuqUB0kaMoYaF0WJ/I1WJ4icboxsha7e0ijWAWUaYsEY0gRRE2GewtgFjfhi/RgA8OXmDXwLcTIyF5V0LwBlfYIUh1ACi9y1ip3Ulyw3YX2VbsDAmNbJWLjzGJMwi+09QpKKsaNHSJToPfakZ1TP4mTnlw3CIvX1G4tpnhzBqkKbcyzMkxt9mMygoCxR6krb5wmiufA6GToSLIQZVfClfTkgW7plCjdIv2dP4YqjHiYQ0wTzMQAq3xhxBnObSbsSowdEyJf3jit/thQiio5gRRqSMSiDivTYDhJTT7MCZxFYJl4QFapYqbDtLLhK4jvMMEk4yBrSCZBZrodvLUIuFLtKJrH504CQLBk3b7JwaziQpEf1U0L7PKdQjOFOwsZsDaaED3KnXqjovXdC039/e4w3ljHdGL3FLqWmzIRtdrO/dKCvrMG7Q4HzMA7jML7H49WILGg/qgCimI3YAoAxZiNZYokmAghdwlIHNrKPiiZ0CdZd8b7RcpuiiQBIGmKI8czHOP23X7yOZ+8nDc6epG3IjqMwDQAQS1GzOreSnoRayVPVhjF7kbQdr7OIihPEpL9TKfZgZuASU9G3VgtngRGy/sVFJ+Gw2RYmS+u6MPahmFogrrA5EjITUF/q61yQZFsQsMYScampgmXAZs0Lo8Q2s5tEm0OYoDsvLUR2JaQ6iI2AmVgLhqwQb+ODhOw0BY2qPMNuEgZltJpiGMCn7wqN2St8aiqkyFgKLFoc8bP5e5VIFmojXq520iprPk+EAOqzMIdqfpgt7WE6ckt1T+DIaqGXGGjP8v1uMKwzlLuQ1fMsJ9K8VB2Uac5yXYfe4dE23rd32w1Om1gEvZoaXA4xgnhtqaZOT66WWB3HbeYPBry8XADtDxjcO4/ARiaInnWyiC7nCXCSuib5dSllrimJE2z8JjToUrN9yw5bTgxCAA9tjFH/i7OfxG88+jEAwNn1HJSk+92ORMWIDUQRy+wM6mcKjc7V5vmHSaQVkIcfALpksDusjITnmdEo+0g3b9V7mSAIjOZRfMr90QyccBZhXmsnYGLJxW3HaBLKKewIXDBQc82Awr5zuYj37oJwUcwYBGREPsiNSmOAyXl8COA6h+SpA9NYmSxDIXhDnvd9SIZiAs8PGZEitIDiO708oPaaYU0GbDjYbLe4UA5GWSupgse0sHINqjypF5OqHVknwEGtBmj0EP52XdjWj7mO4eOEAYCGUWoZPKsVJ8I6kU5NYedISrVfPPFYfZBg+WsraVN3QsgNOttB0uH6nLB9GN9fv77DSZogHm3XONvGD8/qEXeSItbcDXjQRlj6W4szXCTBp7N+jn7WCwbjNuOQhhzGYRzGrcYrEVkwE8bg9hzJGlLTG1sYC90cpVtZTkM6rgTNOade/n5sBpkdWzL49c0dAMD/9vyHcbmLM+7uqhHhl6nd7/3zoGFhDvGZIGlIfR208OlVFXt3J4fmkKLnzdPJqcE0cwrNfjqIWbE92ypuobJA7pIwYBM2gBjwSVHcFd0NMzEQMhbEIPuilYzV0mzH9JOgFwFFMFI/xRUViKtqjm7SPmgMyAvVHnnMa1pDzKCMPfBeUhIQSbQES5qqeA/qVBAJQqwLQIpszBhUq2L04sHDBJhBu0lmVFRqFgOKwjzZcMhL0VJQm+nY4udIogxixYtQCPDLhPqt7D7rNR+2F97bnhlTWaitr4L8YT4wLn84Xb61prdgEpj9+aM13k9M02XdC3T7ycs1lg/iNXN1QJUq8GOwOG1ikfy02eBJtca3PoW69ysxWeRhwAo8gvIMtr79WHeyPacysEwQZ9NC9uFBOE11DQ9CSA/Kv/b2n8Vlnxy5ifGjd6ObQXenwjdfxG7I7vFSZOvnHxqYKbcigTopUrXPGfOnuSZh0B3H47x600r1XR7aUbsE1ZZEUYlY05D6fJSaBFcGJnlXhFWrYfEU1NPCklTwiSHblzk0SG9I2/lie31w4xem4+wnfVi7Ach5uveATQ/frFAGTsPsJqk1sCU93kKZCygmH+8FgJaPJ+5IFwAaRnCX0VTFtm0Lkx/cEOQ7aJyAwv/E5mMIAWxzS0i/g4niceTjytszS41IvtNZSb1CcX7sWaD4/UmlXRqgsDEoOibQ1m2oSMBtzhStZAOs3omvp5Zw+YV4LMPdCZQ4R1Uz4dGLxDe5qoDUVXn99ZcicvPlZ6/hh47P4vvJuhAAHHnca6OF4W3HIQ05jMM4jFuN21gB/CqAXwDwlJl/Ir33HwL4lwEMAL4O4C8w83n62y8D+CVEIO9fYub/8ZO/g1GZScyA8ihdyPaiiSLGzWSznh0qfDTiuOeucGxiEehr4yn++od/EgDw+eULUXi2xKIM/vXre6JhwZZFU5INMCTNyeW70FV4YimiDUuD4eijlW05T1Z5fjAwzXXfWbquuhgxJFXp5vkuKsEAaaUrrk9egZxRUx3ScJUCaxUfsVCZLjZQdCPKS24Kty2BX3ulhnIBGEPlNG0ImjKgLLyWY09xOx2LD3pc+bsAwNq91Xnv75mpF4KmJ1xJmoVQHDvRXpQh3xuKaI9Ztw83Loh0QYr95WGMOrVx4f1aYE3MxIKhDxYIrcL+cyQZamB3P4HRthp9UMAeqG3+KO5/+xBAcr3z3uDzDyOL9BvhLvgipqxPXq7xpTcibuj0dIM/eJ4Ah2ODn7rzfvwsDGZ2EGGc24zv1EX97wH4ZWaeiOg/APDLAP4yEX0JwJ8D8OMAXgfwPxHRjzDzH5kY5ZpFmejmGgawP0GU6MyzaSFiHpXxuEpx/4PqEk1KYj0TfvXpnwAAPNmuRezjM+1L/Pmj34qfBfDbw2ncHj+Jq6TQ1Z0dS35YXwHtt1K42DOas7j/4chhdydNFmvStl0PUGFxCAA0KZqzPzJiR7h4HLD6VsT793druCRsMy3VDc3uRs2jLUlIzYaU0+FZ0wBDAk5KJxa3Ya0xwBQpTMGFQAhF1b/gSDinKQIVkvup00HDqA+UId22SAGofDhvqsUW/85AqDJNySlQ3L/RSaob9tIHmSSJpMYRU7FcpwiSesCHvYlMOh9lGuK07pEHWxJEbShSQdtxtgrB9r4erxl0QRiXBcAPEL+U3WssXY/2qQLgmLXtOnti0A/xC2ZfuMD1kGpazuNLP/EtAMBXn97H737lLQBAc7rD/aOIGp65Eb/55PMAgH/q3ns4rrYCXrzN+MQ0hJn/AYCXN977DWbOT/Y/RLQpBKKL+q8xc8/M30Q0G/rjtz6awziMw3hlx/eiwPlvAfg76fUbiJNHHrdyUWckj9NikhvZ7s16uXi5DU7e96ys022o8SALWQIC8f5bH/wsvvEkcvj/mc99Az+1imHYv370u2jS0v/+pCI6APDhWSwahZqz1w2Ov6aaCfXFhO39pB2w0s6IiMekk8qcCS1wqpHONCMpgFabgMvPxR656wJMBgxVqsQNIgmjQ1Vpcc2awidVAUZcrPxMBOQoo4g+9gahqOIrMAzW7EUCnGTf2BnQrih8Yr+oym4/B5MUoFyxy+MoI44bx0d5ZQ+kKQGg+7EaZcTrVBRZ8/blsvhx558+W+6HZ+lc87VurEQtoTKYEqw71LQPCkujvmRcv5GiGa/weraQCDSrmAMAjYrFGNcQVzjbaUrrW0bzMr4/fOUI/E8+AwC8cXohBkI/+5lv4R9Xcf2+fLLE49QhW77Wi7XF1y7v4Rde+929SP2Txnc1WRDRvwtgAvC3voPPiov6+uEMI9toR1g4p2e6ekky82wk3bj2jbhCv96cS+v0+bjCr3zl5wAA60WHn3wzejP/wulv48cTB+TI1BhTdnRkJnxrivv8++99Ed3L+Pr/ae/bei3JkrO+WCsz9+1c6tpVXd3TF7e7scEzzHgaxhgxIws0MkiWf4B5MG9I5g0JCd79gpAREhISGIFAQpYRQhpjgzQPMJIlPMYeZtw392V6pqe6qrq6qqtO1bnsvTNzreBhrRURuetU96lSizk9ynipXfvkzsydOzNWfBFffLH7njMTwQJiDiPvPT8RaEsRolzkeh4I0MqELelDgEzxmn7EOP9G+l6Hl2q5kcJES5Kx1ooJIlT8xvRIAFCSExFKVoHA8oAQP6j6JFbKsX2UfAfXPqXmgZQbKA9cXWm4HwGelvGE+XMIAh+ojdJH8QDceIhTGPzd5jIKhKmq4Wfta1K4IfCEGaLo471UCwAoPLHnUVc6Gd2URsu1sJCPvcK8MHEiBhwrXTyqFYtIb7tDkq9iB7Q7SvaTCtmKBvdVWUzCRIl/rieZ10IBWP9Bykd8+FLAV7/2DgDglXtX8OzZVAHpd+/h2r20+L176zwun0llvL9y/j38z49ewv3+z3BSe+xqCBH9OlLi89fy2ELgEaeoM/PLzPzy/OyDZbjRRhvtdNljRRZE9MsA/hGArzHzkfnTNwD8JyL6LaQE54sA/viT9heZsAz1QFYP0GSmpXRPXSdwYx3P4cIkJW8CO6mM/Je3v4j1fh5wu3OIF7ZSxnjh1hKt/OFqivO5SvKnq5/G9w6Tj9u/PwNlmbxuoRnpcMdhdSbz86ca4rsWQyJSWeCiEq2sTFwZaLy4EaSd3LeqnVmtFEr0E6WHh8Bw0tloj8Ng6/MNDBmI67DV4jeJxOMW98ol0hMytyBzKtjSngFt4bb7dboKD983K3+JGmLU5G/EMDpwGsHAQhpDCbfJVjEbZZjX7GgYTRTzzmzjhEfBBJUHKLurtQISaxpwIspwaCaFD+szw6lpAldXwORuJv7NMOjPsRHjuowL2Onh5ulax8Na2hF4EtFeyKS6fY///v5fBAD84uUf4Du30/18YXaAn7+coPef331CKOE31ztwxDjmijzUHneK+j9Gyvl+k9KF/iNm/vvM/BoR/S6A15HgyW98UiUESNfHEecHPp1STUEqF3PXCilr4jqBIZGV8fntO8/hjTcTTrv4ubt44WJyEL9w7ge4UKXQq+MK18O2HPetLoVw//nGl/Hmu4lwv/16I9L3sw9VgWn/aa8TqFY8GPRbHmKrwOR67cEojmV2O2B6IysenZtKazk7YLqXDrTedoNMechNSc70ldRHUcPVwAof7PMZDWsS0F4Lk/23OQbbM8LeaWHKPkDODWPRoP0b5YuUBrukXlzKr0qaGuRAynbIOZByzPCQW2YTbmw6iY19Doy0giTl6I192moHkER5AXX2XOkskX66+TtpybyMXkwXPr2c7DEmCRmgn+siNDtQSOk6dRy2nL6aOTxxIS2QTz13D3fXCbO+d/M8wlFmsT61xK3rqQHyv/35y/j6V78LAHhp/gGurRNT+e8++0O8dphSiK/fvYzDtnkkDc7HnaL+bz9m+98E8JsnPibABFoAAB2ySURBVIPRRhvtM2Gngu7tKGLu24eqXa1ijW0zcWw3ZxRr1+MHy6T88+a1S6BZ5mL4gOcWqdq75Vc4lyeS1dTjik9RxtV+V3Q3v//BRbj9dCnaM6wJqqVWLKzXtzAg1rryWOjhetaVPv87vbXSxCFUEKYKqpcZzaQtdpCVKbIJadkZ+XpzXtDP2t4MjnoOZCsK8TgMgkwsyqtp7U21hZRWbVZy/buqfw2iAG9hkob9CFFhRYxSQaHyeaTQ39K/B+Quy8GwFRunv4fAIbsPooHITWlLTwQ3hS1hppADSLNTBZbWaUxC2nb4m8nvZIYuxUqh6/SOzm+128cqD08C0O6SkADduTWeXKTI4vzkEFdmibY9qzppTUh5XSeX9X+8kSDJ8qUaT0zSPf/a4VM4lwfETqsOt/YX0p19EjsVziLCYRVrBNIfdLOkU2DIKtZC0PqP7/xVHFxL/fyLK/uSAf5bF98QNujcrbHjkqO56Pexn9up/+/yOfz2K6li0rw6R8hNY35JMom829YfO0xUE8JmvCmq5L1vdbRcN3dJcQrA7L20Q6491k8kzBgbJ+Sr0OhNSAwJx9kr/k3jC/O+Z2S0ETRr71sd+BsBUJGUq02zmaPBgy45C5vHiCyOJOU+DAsy/zsAl6WCYKFB1Pkkg/DekKngnJKj+mAcxPC2tOpUYl0/hB42V9IUZSjW6oZzch4D1qshrrEjGSbdm3GOpWzJXitcsdaFxI6EbO6zOHj26rTtNHiKjEkeTdhP3KB3qLB6iaGQzggeb/k1ztZpsXzuwkd4Z5Gg9P++/hzKlIXFxSNsz9I9/603X8SzV9J8iF++/DpeO0hw+6n5Paz6Gu+PLeqjjTbap22nIrJwiJi6LnWO5rXLjgWYuk7o26tY471lIlmtVjXmTyaIcXa+xFPzpM2ZOBvJs9bUo85L9ZSC6HR+6/aLcO/mVb4G2jMZEtQO/U4WQzF17+qIBiuNF2EXjQSS2El66duIZq8rXxAA0O9OZCV3bYRf6vJculh9q8fp5torwI7AWXwnsk2E0XC4cIm6AwaZdakEOOhK5Uhms9ptmMywJGxUTARaALHeIF4ZgVyKDixJTTIJTgLKkBynw6bpYcnKyErosklTE8WwqWgMIAa0omHfZ++kRT16rZJErxUksEYRJWHp+uG1EHGfqPql1ZFGmkMlMh5UfopSF7EhXDV6DcIEiLOc4J9pi/5BmGDmlXd0JkPyv37lB3ht7zIA4N5yiv0sueAqxtVbKcH5+/Hn8OJuInFdO9rFVrOWKXsnsVPhLDjrWARg0DBWHMQ61pgjMSz//etfkcnRF5/ek3FsX9r90QB6lP00Bs58vzuP377+VQDAO99+Fr7XH2f6Ye7vOBvloQzbEbQqOFBT2xT0AbVj9ywund/s5ME9ejZBJatMVR0GuWFdG2W+RLUkhPx+c0CCl0OjYrzpptbrZ8cBai7FwA025T8ijScjibaF/G3z9cQP5nPAMDsF39uW90L+ChFUKLmBBW4w9MSZCFQeYDb5EFse9drTARj/552Wcp2pdDiIBkisXMp5lK9rztfmEkQ5rCGZxBYrPZg3chrldnKd5qR8C9SFPGedyZoVUlYQvYnotRriAgRehtpUUiJQ7aQDP33mHp5fJCjRscdel6ohE9fhfpbWmrgeP3/uKgDg/9x+FjeX6RmZTFtpjLx69TyuXk85js//1DVUFAa//yfZCENGG220E9mpiCzK3JCOvcw0rSkIyeooNnhlP9WHvWc8/9M3AABPL/bwl7auy36GojjJpTuK6LL4zavLz+HV7z4HAJgsSaBHfd9hdSW5dzfvUZVwPxJiFjtNsx3yatBquD0I9Qlo7pcOzIhuJ322VDpAJFqUvo06mauLkmhjIokyIpwMRLOTvEJjqeQarTCZ0yEI9du3cUhOKpvYiomJFFLruiY4dSPz0sKAAl9A8EU2n8hEAQR2lliV/3VI/R7YiCY2IYnT9xWhkCZWAY0+nPmO3vRsEBAnllCl79u2/jLKgaLp5i3B1Fqnl1lIlHQ8TYRW4EZghTVBSVw0gJEKP9gpcStOGJNpuifvrUsmNQ3uthWM0hvlKMpEvi+cu47vcnpe7q8mMrWs2W7R5laGN65dxpeeufpIkcWpcBY9O9zutrBbLQfK3VfqVCL6p69+HavD5EQuXNjHCzsJenxhcVX68e0FtBJ8O7TCB33ixv+bP/4bqLIEXpgx5tfSr7d8MooY73xrjZhv4HZdIxb146g/tms1jG13CJRm32LrWkR9kBvbrkxlZGAhbTUHUdWeawe/Lg/W8HqUG6k+6vXGZw1dvQmtuTJQpVYhWsfK+LTSca4z8nltbwhJGEjfCfQIcZizKMzOyPrMH9dyvlmRs6pZpczonUIVdihehOMQKg0YmeWgpswJp69j5URdO9YkUC80JCQn2+xFAToYGZBqUpqonndfpAdXLA4i1k5gHvWW0KYQ0cFc08Di0GLlREEr1pDRh0xAlxXk2ysd+mW651+68KHc0yE6Ea/e6+ZKYnRBhm8BaXo6AKz7CoervADXAe5Cfv+wwZ98/1kcrU/eajHCkNFGG+1EdioiCwDwiOiil0hh6jp848O/nP7mI774fErePLO4ixdnNwEkiniTY+m9OMe2qYCUxOaH/Q7+5ZtfAwDQYYWY+RTVAWGdefVhppHFctkM1IOoqGY1hJh9a0fRaDga/oUH1mdTHNluO12ZCgW805XJr4OskrbngElJTjEqyYkiJGufwti8wlE6t/SHYZQiA4t77cGALuCZcKV8g5KcZHMsJqeBKmuCj2s/FNcBciKzqGbpd01vmGpMEaFhXXkHPR+D7TfC5JIQrf0DMEH2WVb8oNfJhjq2fd9eS9fptLTyeUCjsuqg1evVuIGkgvSMNA7Ba5RhCXMy4tCxJE1jQ+hyZBoroDujH6ibdOO8dfsJnH8qVT0cRYEegEbUjetxMZfUVrHGfp8ihktb+7jaJxr44dFEkp2TRYt2VW2Uuj7eToWzIIL02Z+rEsPs3739Czj4KGV9L1y+j8uzdCFenN0cELb2QtpmU5KvtKv/1it/E+s7WStiqePh+i1GzMKnNO/hqvKgEPrc8+AqW0aAlPzYa6l1csthckerETIROwKTI70JgdTKrLM9a2Vn1mZEYFD861dhoEkhjoBZKiZhojCEyVRG7KCgTvMjiEpEYqfsTCsmC2Aw20MYjp5UsLZycv4lx+L6OHz4j8uTsMkFxA2HYvIOlrjFxtEIQcwZNfDBmMcIKhVrduAyzrFn8ReWzOl6VtZtxwrXQlQVclEaj+pEzfXiyulv4NXJ2Gvaz5xUWvqJVl36OdAt0nbdmQheFCHmmB5mAOfOHuJHB6n8+fRiD4fZEdzvJ1jl3vhlqHFYpfd7dmgytlpMD4DkK3DDb+NolcdnuojpvH2k0ukIQ0YbbbQT2amILDwidv0StevxykHK4q6WDa48nfo7fu7cDbw0T6I1Nnl5r59Lz4ijKCI5HXv8zgdJza9rK7hl7hTcDZjeKC3IutJw6xFUKEtC39CaMLtmcJWnTjGAVuP6opC13tUVgyKwLkn5dalKqBd3nk01xGTZoWF04kro6mwTczAhuI4jHCYYS2jceSMEyxCuBEUMjivj+Ixgb6y9rqaV0tJjY2BWW6T9TT+MdziuJTySKdkMVK9Yu0GJBhRnGwoIDBh0jtJgXzpjQyMFJjeAGDIqMWrXruuiQDGK+ptYUeESZTjYSlEEJgVGaoKTGIhCudcp8Xa0pBX4BRvY2zvQJF3XVVfhRp+6pSdVj2kmZUUmgSHTuhN40odGRgEctbVsszNdY93lSOQoc1Hig7/Rw+xUOAsCw1PE71//PN77fuK6n7lyHy+dSWyzn13cEOgxpU7Kor6KIod3L+iskN+98TLeun4JAMCBwPP02epehdWVPJZv3gN9vglbDakp0rBEmB0H1RG+KcQiIORfu9kH9p8puN/iXJgEQtpHP9cp6+z1YYuVVkDKvNG0P0KRodiEluWm9lG1MBDUATGR5GEo6OeZID0jDJ0aTkGZh1FPOUEP0XBw0rsQakKVmxHK3wMg0MP2l6QLUh4UGlR4BgLDlvwlF0GdkS3vsidxBIhxYz/lu6pj8q1CJOq1IkR9HDSVqQyfCvJi4h/YXzmWXCNxdKl9PV0vQwRzkOax2JDAo1ilyhwA8CJgezdVKzwx2j4dt6l60XR5/94uruxkPZdQyRT1o55x0GllozeLaoEkqICL24nxvJpVuH80HWHIaKON9unbqYgsOvb4sN3G9Y92UZ9JS+8L527jmVmCIZEdOrPtNGewjuLEELF6vN+mOvOtwy1sbyUPfbRq0B1kYtUiwh+WVVC/OgXtu6COQEWll1iG03IghDIKr3Oo7uYpZw3QL0xYL/yE4UoCDEk3fARZmf0ga68t0YASp6IReWUyKk1eyUFk8rHEGHAoSrRJMUUUQIowjqsogAhc5loYPkOYOPQTs76QruYAwI1XLkpQCABmrfbYEQVmtknqfcmwrNfEZ4oGdCp5MSZN1FoCFTsycGZ4PbSyZCCGgWUAD5KSEYWvYTpay3G80vKJWeaGRK8kPNulyl7JV7GGLNOxhiba64hpnX7wed3h9kGKltddLWMpfdOhz63oaQpf2ue9djYYUzirFKo0Ofro2WFZYEhbY7VsPnswZG85x3995Us4e34fL55LhKsv774njuAgTKVPpKYgeYqagih9/+nBc/jm22kS+vbWUi5of2MuRKzufI+4yAzKOiIc5vzFxvmo2hMGbcIFQ+KgwuzDtM+jK1EUml1HqA40ZyHt7UW3NpqHvzIaFjWZKobe4C6wPCexpsHQIhlSU0FmeNoyHbFpaCJI7oMi65R2TmzU8p/CpowLqwnB4uz6ibZt+5ZNNefBADUiArYvo+B1y6pstFrBzn4/UnLUmiWHFD0N2JalRNlP/eDht45DCWhanbFivHHuMWDSSgKDHigNh4kT0ebQODlf4lThSNuorEC6Nvmzjd4PXOkc3TBjNOfT/byYrbE7zfe2C7iUGxqv3dkVuEDEuHWYnMjFxeHg/JaZbdwGL45jp1nhfptYmyE6NJnN2XmHxdZqhCGjjTbap2+nIrIApzD/3HyJC03ylrY3xIrxesc4zNjAI8LltPYbe5ckQri4OMT1+6nTkytGdyEPT571sno6H2ScHK+8cCg2w4wiMoOWEPMy6NckYqrRTFrnCBXRWZPAkGKu1wRoiKSxf6uhfKxs6Kwr1OZogcEUdpOUV/dPciy/BqSrmfVYm+ML7QgC/f7aTh0azfTbcyiyAmnaWP6gpyEnSyN9PSTpvjfFdyRRa8fJkCYMUwSh2wwwyjGRRZg6iaL8OsLlCkf0TnknXpPb7CBUcenkrRR6hGbYZl5+6zDR3529/paxHl4DOV3PqOv0Q01qJVtVLqLKrQ/Pnr+L1oSVH+yle/uOY2xPEmw/bBtQPsC87iSp2QaPrTptYxOg07pHU4XPXov6fNriyy/9EL949t1BDiJmUQXno/SMAMpai/D41t5LAID3b53FS0+mSejX7u2ifT31g7gJy0wHXwWRHqvrgL7NX9+zVA540ctFj53eqbTymHyQtl9cAw6eSe+zY8lxUEcD7C+VlFgeNgYFxa2hKyG9wgEzIgVwekM6SwIiLR2mHEE+941sveRB2JTzTB+E6yE5hjChgZ5CgQGhVmFaYkZRN0xNVfo+ymkYTB9NZURKkoGlGoPIMpmenenF6IY3cJG3S0OailM16uUbJeBochbi7FmbusJUyXEUVd6QGyVOWcehuhY0qCqJE3HDfERR0GKvmhdJBSv/ThUQ5vmYdYTLhERPjN0m5doaF1DlB/7INbjXJmLhnaOZsDAPV43ACgCojepVGcFZUcQkl/xDdNhq1rL/np2QIU9iIwwZbbTRTmSPNUXd/O0fAvhnAC4y821KpYB/AeDvADgC8OvM/J1PPgaLh1vlUD+ARPK/poBoWs5L78a9MMP3biYS11+4clMijj6YeRuLKCtAt6xBebXvqAJ3JSVNkkTj1mgiNuq16W4t76/OaT3eHzqZFgVoiB0brZ/bRGOft6iWpK7ahqVOV3smDDpHVQvSJANNmzfMCstOV0YXzImRhu82DOJB8hADK9FOqiLk9wyd3GpLSgWGAG1zHwQ8aqznm6ID/dMgWmGFQYNqhIVLNsSXN80+zUnYsQexBrqF8igs1JPPyjEhvJfBF9qI5P0aD1j0kN87TBm8lW6KZt7h/CL1fdhVfhUqyYzPqw77hasTvFRGgNRVWuxAeBkB0xxNTOpeEp+RCT6HypULiBviR59kjztFHUT0OQBfB/Aj8/bfRhos9CKArwD4V/nfj7WJ6/FT89vo2MsckKnvpeoxcZ3kLC74Q+zHFJL93rUv4IlMMplXLT44TFiue2sHfVZGRh01HxEInIlYwTMoQw836yUUTN8tbx4cwjJdoipAKiDrc9rw41YO9T0t4Q1xiIUKGDiF2CieBQOcw/Fo1Lr9mrXPIEKmssdK3wfB9CLYB05HKVKwkAGIXh9iyU8whixPY+WB9hvwwFZMAAyrBxu5kQLJ4IZlTjl3qxZOw2pMqRRF044PKCM25XNKCQkDx6gyfEAw1RZ5FdR5xsrkgtiwLM22NvejuRHTtBfMIhCBkG5VhC1GeyETAqcBs0XCJ5O6F2LVTrPCE3lo1l43U7jNhO0mPQvLWY27nHY6rfus4JbYmWXOzrqv5PVBO5H9zOpOHNJR3wwYoCexT4Qhx01Rz/bPkaaS2TvoVwH8B072RwDOENGTJz6b0UYb7dTa444v/FUA15j5ewOh1TQx/ar5f5mifuNj9wcWXrudnF6SnZEdLlSJ4rofZ3jzKAmTdtHhVy69DiBxMV79IPkl1xL4jM3k5eM0UWCIc4zoVWKqW+Yhv47RzLJqlovgzK3ozxOWOeQLM4Zbl8Sj2X8PCUvIaCuK2IuD0nyZ4XPE49fKv3A9H5s1t5n1YQSBQfRhxyeSgTAWYsgKYeHPhtnOUJGzN5c0dYya4wIYTPfaCLKEi0EacVhB24cN0osVDVbw48wZUhs7PHR7qyhmE8QF0rkeaY6eHDt/7hiIY48DVp3OWLN0vQLKuXAdgdrSFsCoqtwVOmll+vnUd9It7ShiURVuURSRmzZWMkVsWvVC3CJaCRGrooh1hjDLrkaVk6B9dAJJgBSxPMoAw0d2FkQ0B/BPkCDIY5udor775CxNTaeIaX5qauplCNDcrUUa788OnsY33/hZAMCTl/bw1mFyHG/cvYT11SQMwBcCMM3NTQeVViAAGUTkqwBfHtxIQBZKjT1hnVW5yDGwl14vrjsZ+hIWEZRhAx2oeK9lDHJtHvpO/qyOw2vI2y3Usfg1SXhtS5sUNmCyyeZbohKbCsQAhtgb3t70pnJwXL7BHks+X/7deCjJsgHJ9EVY9qltVw+mjkrmOKTHSczO9DpWZK4HD+GSmY0qFQtz3oNBQDRsrLPDo6wT0QYzU2kpQ4amWgFJLFDId7XyeSKTZ5408oxJdhazWj3LVtWKCtbZ+girqO3nd3M1pA1eekYshGAmnMmVlMiEW6v0LCyaVra7czhHyNVA7yKaKjwSg/NxqiEvAHgewPeI6IdIk9K/Q0SX8ZhT1Bdnm+M2GW200U6RPXJkwcyvAHii/D87jJdzNeQbAP4BEf0OUmLzHjN/LARJ+2BMXDcQsLmXRW0AIMBhTrm7tJvh/PmUBPqly2/j6SalU16/e0nPcd6jnqYIouudJA/hWRKcsSJUVQ75HGtvyIQl29x3eka+1aoGIiSygLMhO2SiOogQhf9gvmypJrCG9XY0YkpA5hXLaSLTYbNaoMe0FQU36Kmw25T/aELPhuCkRaPMITCrpvSAGCjCw/NJ79ljDvtXpJJjKdhsQgi7GxpOTdP3DSQg0h4X1mMnpSw9R/thm/y1v5mFU+U3G4w+NFHRIEIo18JBoai91pvXyFTZtjKZarteSXVv5jSyiCB0KMPAeyFZNT4IeStEh0mOTProBMLcXm1Lu8O06mQEQdt4LNuNrO0j2GNNUWfmhw1G/gOksuk7SKXTv3eSkyBwKo+yG+hVlC9/FBv8cJUGC320WuArl94DAPy1rbfxv+4nSHL96nlMnkrsT+dYBH4RSFu1fRRFLEB7+es6iINoW6VQxvu1PEDrs4z15ZzNbt2gAiEbPRBKZ7xqbxghHkFhQtQbjwnSDwLzMDGr03EmZ+FspSMY6GEhyWalodz8NLyZ9YE234khxKmhTB0GziFtYByE08pF9AbubJqcy9BB2LyG/d5aSdnMoZjXZTduSNCyJV5LXIwG4MlxDWyBEMHMV3emrN1Zdq2OtoxNgphAImRxhsZNY2XxHMpNMXE95tlZHISpPAv3+6kQtLaqNdrcMn/rcIE259FidLh2eCafbsR2Jl/NqxZHfXoWpkEJhyE6hPgohdPHn6Ju//6cec0AfuMRjj/aaKN9RuxU0L0ZhI599rJqBQTc7Hbw9n5CPrXTSWUfdGfw5n6CH+7Ao5+nr2M5EwPtzEhw2UPbGb6Vi2gMiaUkhO4vdVnrtgFqMkWXASxLqhySQCVDfnqYDqpEAYZP4bqHhc7HhPrlfVvpMK+PT0CaFd/mIDfO0UYFlsC0eeyHfT9L2rKCPhaSDGACFBJtvh6cOx3zWfN68L03zlWSnfZtb1ZUHkYFMhHsuEDIRI6b0gC6b6V79zOg30oXIcwi/FR7QCwBq80nsI6V8Ik69lINnPkOPh9kHSpcmKYIer81YjfBo8oXvPZB1LQqiqjyfiZeIwtmSv0kx3zNh9mpcBbFHEW5QOtYy+vDfiIyYV888z6+uEgw5Nv7L+CdWwmeVFeOsDVPxJWj1UR6QOLc9HwTo29LrE2oZwbvFZXkKkipKZ4nHOylLDRPzNCcQNK6TitShqMNi03VQXIdD+QpzEMuH9zIgfRme8NqPG7+qNVpSOdgtpeHmFS/gYYP4iC3YqowhRTl22jIRzY/MYQ5AOAig4ruQq89HQ8YDT8HbEAA5kGeQqT/wvAc7P5srkG+k3nQU6u7XhupgBBUZ8JCp1JoqfS6wAFxZs5ZpASAdidtFKcRnOULUEVUOdcwbTqhCLTRy+K0183FiXhEgSEeEbPcZFJREPjz5OK+QAxHjA8PUwXkZ87dFCHfvVbJXdvNSl4f9Q28i2OL+mijjfbp2+mILBgCQaIJGO/0KTt0u13gmcVdAMDPzK5jJ88HCXBYZeHR7Z2lqAwdLidwOTpg9pAkYe/ABTJ4HqrQS+KHEHJYSMQKVRZaD+8CyX7Ya8huSUYWkhSjqEnNYWLSXArd3SCRaUP8zS7LAa/AVDp0pyYZZ0hkgH6/TYEc4RgY/U5EGFWp4f7TebD0GnAkcJbz54q0z9yu/NAVmcCGl7EBPaR7dpjMtRHZYMpYIWgNCYMGZkHJSGQSl4SBwNCgzwZDYaJBIcclyAGkRGYsHaWeofMnFfaG6NDlA1UUBRoAEPKVnQ2yjrVA78hOhG3ONkuczdyK2gXcPkrPy8x32GtTNXEdKolinOnBipyT9Z+18YUlZ2Fx2irWuLZK2V0HRpMvXoTDHx6ktvTfe+PzmM5TePbE9gFu7m/JPktZlAgIhcQSCMjNY7wGupzl955RT0oug0UBeb2qwcscCi5arJclza03YWwYpYpaHZmb0zgG80W1VdtMXx+oThM2nEJ+HYbOQR+gobOxRCnraAbNXoNzyg+EN/NHBgpTrPNZV/2DnwfUgWyoeeu8DzKzSoxSllHNAiAhsSVigTZa1s13snDjuGuQRhNmSOCNvoeFJzCKZY06BuucVelcKx1JESv/2bG8jpMIro0Xy3DV1UFaywFgP48N9C5K09c6VkCXdrR0AX1xKC5gnb1R7YJAkpkD3jtKUpKRSQhe7+5fEIFfIsb2JC2ufXSyKFcuoOsmj8TgHGHIaKONdiIjPob88v/9JIhuATgEcPvHcPgL43F/4o89Hvfh9iwzXzzJhqfCWQAAEf0JM788Hvcn87g/zmOPx/10bIQho4022olsdBajjTbaiew0OYt/PR73J/q4P85jj8f9FOzU5CxGG220022nKbIYbbTRTrGNzmK00UY7kY3OYrTRRjuRjc5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\n", 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\n", 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\n", 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\n", 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nydH9MPjtJ2KxAF19IAl8op33pCqWM74JPV9V/ACHBhomKyrfvh9wxjM5Ps/Kow2Reqi93rsRPpfjHEKD0/U8/zbizvIAQHoow2QiGy7KOUVF7MyL964c6roMnar3bpI2G+JKTbfmhhWZSNGJnwRQk8aCdNaxqRbbzkSQIqttO5HayJFrz38631Vq7ab9vHms3PMydpi5olI35t5Dda5d+CfrRzCmgQW12UWkPOOJFUzlN0KFcm32mJO+ZNIO1LfSG3MU5Zh5TptioyBFvFnIrTiKiHnh2PSFfeHyBgBg3ozVNfcavY5G5QgW6ToGBe1Zf1jZfOxiBWNGXld2ZshOdrKTa8kToVkUM8SCrCKrE6rCWLgAv0V52gT3iBpr8jV6p2qyR6x2WFFLYyfOPUeM/RyFsdDeF86Pce884f/HdQOU5KJIoAwlbtuA44NUNuKp+ULuadknTeVy6uTajQuiEXhE0U4q5y2caBzlPKCGcgN1spr8dgMTILgCAmC0kgqOnNuqkt9CW0VGxLwqkQ7UO6mFpPekYy3wYx8qXIG0ZUBLcxoriH65zshevPwW5FRFZIxp27v1Vih1hO7OgQl9gf2DBbdjtSUFVmkEbWRnTAYv5y9DK8+49LH89ixrqavQ4DNnT+V7d1gMOY+jCei8gs5uzZK523l1XFvHeMlvAYCRvJobUI1iYmfmdsRy6h+YELdNnojFgpnEo19HC67aignfbgA7ZkEpL1dkEiCKDV/FQMarHMVUuZx6Ue0S+Co9YJtr8crlEU6XyYQ5efUQtMoP48zJpPIrQhn72DFePd5Lv52lh97ujzhfJx9I5wPWeVIddUvpX9Mqft/a+kNsMPOKPi1SqeaxrUw0DcHWL7j1DVjAWHmx3Mb53t5Ptq8dNBpR8gwsStG+hMvQYmANAZeIht9oR6IVJnJgw64N+60LpicNvTuKWxdMu0iB1J/UUO0TKePduCD+mXJfy9DKWC5DK/2P7CpVv4yvXVgbirgvC0SLT91+GgAwjQ3ivbRAcMNozvP4tYx4lMe6D7i7n+bS0XyFm7M0Xzo3Ya8xQEEZSxO2hoLROpNXYufBdWVnhuxkJzu5ljwZmkWGeztwZYZYkZ0DjEXeWVsDrulpkhwQiz1oNpw9RWuYmfTeyWlb1ulzPs5wnqMht88OEELWJl5r4MbU7t4rDC5Q3xUXFDiYgPEwA8267GF/usUXTtP1nnnXfVEBZ43eC2CcXk7vM+1qmlZt1d6iFZ1NTRV1KGaFJ8aQIz9zv5ZxshqYHW8Lmqoh2LUTr6GrjmaLOZm8Xucij6N16K1iu3V3i7wJpdZ2rHkppoofEaJ6+Uu+RIDDZLJgo3HUlutX+TEGxm+1qCKBSe6/N9EjG62zoKzeTTgZ1dz4xN1n0rWjw/qVpCnQRDj6TNaiWqA/yabdzGF9nJ5ZmDEuns8O3GMdv1kziakyxEbmdm/wIEnTytc3WsY6NnAUt3KVPEieiMWi+CwAGDV6u9KzmZYui8uGrVwmzCb3RFGNn24v5LujZiUq8TC00vb99Rz3Vsk3sbyzJzby4WvaVrNIJgeQ5llZLIiB/n6+tzzK3RmwPkp/vDbeAu9nzoH3rCVicul7mcg2zTvA4TzMdBy2JEtZSYlCRZXX49OGKm+Jc4pYr/l+M+Ayv+hzP1Y2u5orGn0IJvog/givIeDGKZ+F5dOAM2nsJhW93ANwNYfHRogkKQ+dInMRJCnPI2LN+eVjknwhB67mWiOmhZLJKPITkjy2uXAqmDBiMNd7eXEEALh9foDLFw/TvSwdjl7IZDYB2LuT22kJzSrn3rSEZplJbjxABQS4cngt3/v+fMB+m/1eFKs8qW3vUWBCYAXn7aIhO9nJTh6LPBGaxTacBaDHxi2ELkWK42zTqWXTjgtKp6WAy5wufuBXYqrc8FrsOhgswWcvb+H2WcJTtKeGseqCEXPcO7ZQp2YrTQEOcLV1gdl9BVPh8x6hT9d88dYNvO3wAgCw16zhtmQe2p16k+ikiB1Dm8cwGadbMNm53Ya6aq8jWAUo5P2oXWEpxxndJjYGLB56C5W3QLfeTzXUuYyH4cGxjt103RypQq1ZFIlMmGV1HFGjMB5RtANntJ6WNFO4daGO5phUd4WoF9vS5u0oHmfulJUsRfXS9c6nOV64cxMAMJ51mL+azunOgO4s3+PIYK9axnpf9+/uMvfVA7OizbLH6iDPCacp+2ujDY4GaxIN3Z6HAtlaSnPrSy4aUmTT9IhbzA0AD+T42YbmtH6NAz/Iwz72C1xSWjje0d4311Y2pOXUYlhm38cINIusuk4MsUlIIqcJu1MWjobAOYxanscUnHye32HknCicvHiEi6Nk2+IdCZADpIlc/AKtC/IyeWhatZ3gkZ2owAn9mf05JqejGi+Tqg2Yl4wYntQUKjJGj1VJO6coE09AQsYUbDd8DsUcmLu1RHOqfBEb/t0AU23jfghQ1GZkqmgYyzkT18l3Re22QD1AQWcBCmCyfiHLpHXcLuRY6eOeW0v7I3u8tDoGAHzi7jPgF5Jvop2A2WvZPJqSaQEAgQhi5USg0JpQAKyl48aM2jwnrIb041Xo4Z5Jx0+HOfabZJKEiSoTY9/QCsgYgbAM7QNBZttkZ4bsZCc7uZY8UZoFUAORtjnfALPSmx3H4iys42vmlSx2zw+40aSd4dhf4tgnoMsz/lzbB+E8pF3+ldNDxFUeIgKaAodgg2UyKdF2kSZm2TFKtCR0jDDLquu9KD+YvewR7qeTXz06wDMH6b6OuwVGw/lYxBGbvBMl6bWSoOJlPKatYxngzPFatS+q62RATpMh2pngxEkoWBCTZTn3YwVDt8dPxrTb+oy3KKJp9yxRGssVaTkkwajIiYsTNpHWaF5QcY4OG5B3SxjkjYlWtKWw4UAt/Xy2O0v3Dhbzdd8NOAmpTy+ub0nU4/5rh9i7r2PanWfTuCPRLKw2ChjTlYBYyEUJKNguCgy3SONE7AQANkyNmH3r4CVKAujYb/Z7Hf2XnhlCSIM/biwUFTu1scHsQxRkoElv750hed0wbWzizSwncs2MnenBWOd2F6/uA316wLO7BL8yqnK+BTaWjwvQBSKoqlmiD+yFugDDEcnnvduMaZ7u/ezFI6yeSovbjW6JmVc2bRkbptr0MGSucYv9XaVhk6qjjtWUaHydyKcvnL5kQ2yqRK7NvItlaOXldODKv1CAWKMJ9VoTw1IiFtY04ColwbakKBebSp1WNqhQmSpFrA8nGlRjqEiAGc92aRMpjOx7fo13tfcAACtu8UyTFo5jt8Dn1glk9YmLZ3H/Cym/w1845LUFZENS5uUHIBatH1nM1GSSkPxW1lUCZnfyu9ADL5+maMvhfFWR/2pfXT13oPMmjcH1IyI7M2QnO9nJteSJ0CwAjdl7iYC0V9RAABV1e0rbTjvvwkCgWwpYoNSyULX00K1w5JItcewWkmNi4dAtTbgXUgSkv9NgeEcGcd1lwUu4STUIFyBqJJOaJwS1TszNy8HY5OgJgNk9RlaQMHvZY71KO9ntm4d4ep5Mkt5PompvZj/aUgQtqcppQUVFm9ikr7fmzbZrTiZHx2ZLNhQRt1T/8UbLaIyztUgip1FAlGTskmooYyQ4x+b8q/konuvRrUhrrFpv2NAKQKsxKQNAwtkAicb/sF3JdZ5u1DwFgC/vXhNtoqWALmtDa3j8i3tfAQD4zP1b6O7mMbok+HW+3wESQQMgx8HqIHcjm3nFYFfMDT0HkbH/cvrj8nnC4jynDzQa2Zo1Y5XWMEgEJIoWNbFD5wLc9a2QJ2WxSPb1Jilvmby2UIqtCdIaIlirutrP3qS6H/sFDv1Srl/EQ5mOAjv81r0/BQBgx2ju5ZyVtaIz7WJBUaMdVttnp2aGuFYmSKIZO5LFIvQK5prdZbiMFH3l7g2c7qWQyfueUiakm91CSV5NOM8mjNmIgq3HYm30yK6KWlgQ0jbqO08s4LHIJJ+HLajGxMStk/QkL3S3ukuM8Wq6dUVa7PT5TAZ5uSnVb8tLZkyblFdyNdXekuh6YjGRXsOBtHvQDLLwlkXj2C/EdAWAl6YUFv395bvwkU/lMjmDw+HdbMoMkE3Alg9zIyrtP0XXNj6TzgkAKGu8C4T+LOenPOuBs/TFRTdDc1OT4KrEwZJIaTaPGApw600wQ4joXUT0G0T0USL6IyL64Xz8FhH9KhF9Mv9/80/axk52spMnR96IZjEB+GvM/C+J6BDAh4noVwH8IIBfZ+YfI6IPAPgAgL9xnQtuArPK7hkMxLt3o3jBe5oMJT5JarflbWyJceiTannolzh06bMHawaeafPT62fx0VefS+3uMWa307fsGH4oqz6BDPUSZXU8kmoZgNkZFE8jkRHb6HCDNI5+oanRy9s9LvbSI1odn6BhzZI9yuryZBipbO2RmrQ4VmqPxtuVkNjSxw/sFHuwsTsXTcSmgheZ+3FrRTRLKtNSqMwXm6Mj0Szj7PximZEW3twb88sCpIrptoknsKnr5bvDZoX3zm4DSA7M4xztKBrvc/4M6/zgFrHH/33ybwEAfvfOO9HeTnOSYsLQAMC0l5yWADD1ZDTT2tlZ5lLSRkuKgH5mB8Q2z0MPdOdpfCh4UMjm4qgYmMiEt3cKNCympwWPjeThH4qu9w0sFsz8MoCX8+dzIvoYgHcgVUv/lnzaTwP4TVxzsQC254TUkQAnk8pRqKIdFphjGbKLalmH4SLaQhALEjX9t07eh+VprjE5ErpTsygYu7G6zZJrwVqEGawJZhIhaXSihJ7keum2yy8ZJWDT33UYc83al8+OsNenL47alYTMLBFsTRJcj2NBKXriym4tYpPKGhfEt3K6EXK0JLVFGmMSWVEfhEZAFrEzKfVNFfWw7NRDuBqZATS8GuDkHh3Z3CJGDBoVKwCwzVyI1phrKyE8Vv/W25v7eNbXPgtHjHtT8md96PK9+H8+l8zV1WmP/dNseqwgE4VCWgCKlIXDhXouVW9s8V+YBSW2pKF6c26z0OgJL5rq2VjG9eKHccTyDkwuyDhdVx5JNISI3g3gawF8CMDb8kICAK8AeNujaGMnO9nJWytv2MFJRAcA/imAv8rMZ2RUTGZmekAOrK2ifvP5GRxFhMoZpRW9zsNMwFSn057ycVI0n+vCyLWDM6moMzcqSxOi5Das2WGV2/69V94BjHkXXhLaxdXbJ4bsasSoYuMVEEuVBflfRoP0ODGQrSmETjWO/S8wLt+eLnJ6fx/xOF/wCEI2vO/XSg7jlMx1inWad7mxuVdP+WQK9zakeR0dTeooNc4yWzy5Ic09MU7+isreik0zLynyHlFyeyo8RdTK7FZ1rnJGOFbao9bJULPGmkmWxcumcx/4Qa7/jv5EgHrHboEbmeh5ke/xXtjDv7hM2sSvvfyVGHKauZtIMoyZUi4HkDWLYnWGipRMxPoYXeDKvLUF1n2TNdKORGPtTxncppNocFiOSiBlo18Wor5gHddtHKpfTN7QYkFELdJC8TPM/Av58KtE9Dwzv0xEzwO4ve23tor6u77miIHkRyjj4ymKeuiproPQmlCeZcqy4KEyUQ78SnwW+7TWWhrEYnqMJhX88rU9ucf2AtWLXhB1PtSqoysPmKCIODIAm/xwbU5AFUUx10rpyOlzfxYxzbKNebvD2Tq9EHcOD9AWyjWKsnDcaJdVfQmLTJTwpzEpLJOTrfnhEauUcgktOzVvrEq/WeYPqJO1Nn1REt2gOtIhUR1T16NxUYhorTyI6akuMajM5JaEeO7XYhbdaBaSqNhSwHPNKQAIIhMALvML9tnxafzKS/8mAODVl26iO8ljsbIrv7kZ2gixZ2ECXAZpVbQGkSvzRD5PqP0duY12EUE5suSXhOWY82/aUdGcUdneBigbWiS64sd5PXkj0RAC8HcBfIyZ/6b56pcAvD9/fj+AX/yTtrGTnezkyZE3oln8GQA/AOAPiOj38rEfAfBjAH6OiH4IwOcAfO/rXajAvSN0FxpiK5rFoV/hdEor/Z5bi+rqWdOEW7C4Lx2xeNn3ncbLUxHcqxl4APDKlDIF/ZlHfCapqO2FV8j2YNRL5hT6QN4Nys5AEGeng2YTinUVlQiHCdUuVM6NDaTGR2wI/WkC+sTzAAAgAElEQVR2Ht5zoAxg+sIzR3juSJ1vZ+vkkN33a0nBL9GSIlYFt7keLkdYmo1NxsKeX09U23hQPrDKZEiZAa2RkuDhau4IyxfqkhDb8oJS+rn5LGQ8qm06YnR5Huy5NW7kRJ9b/hIrl+bZO9r72M8lAlbUYshtfHJI0bHfuP9VePXzt9K1L5xkIff3DWVBo9ENi6ZmY4JSVO3RTcb0YFSfWX5MMq8oEGJbcBwRlE1mFyAamKUKAEyZhArmnvJg3pTyhcz8W8ADW/q2h7pWzgMJG5ezE6J4tZ9uz3F/0IUjGLVqMOqkjZJ0ZrJttpHacfjCmOAgNBG4+CxsnhMzSOyGvGBkIaNSWkcFi/mRfQQz489xuoiw18/THkky0foQaJbpt7O7DJ8jI2dP7eOlHC3Yb9a4yCTAy64V+rrjdrk9DXsDpCShRe8kOjIYroZEQJujJ2ay2cJIWsyIt/JEdGQrtztDdOsrEJfN6ajyfwwCVPwQEdWiIFEgKDFvVScDmhd04IcKaFVMjq9sb+NOzMS4boU/XqdF4rdO3wcA+O0XvgzNmaIzS2IhsW4kdnpFX5sf1hrTOcPV4mJzSORFZuSdKJ0TWkUBesOmNU1qqouJSTWVoc0XmvjhigztckN2spOdXEueELh3ks16IDUkexunoDrIVrGVnWbPrSRnxCEKRNcClQJIcBYrbvCxxfPpnI6BKWPy7U7AAE0mfl55vK9qKxRN5KNkqG44v4qwg6ir0xzIWjHYk5gt/QlLBKY5abBapXj/+ql7VbvrLc7AGk/hMET9rMdpa/5IlYdinJ0pA/Wq2VE5LA35ss1QtfuZq5yiin2wOR1bSY1cEJLedM+5hGK7qIoqFy7WxkU83WY2MjfgufYEQCpZ+O7uDgDg7Q3hzlrv5TdOvwoA8JHbb0/Xuz1HprxEs9A5YHM+3BqSQewmaN1ENikCgQWEl0yS7ZoFOWvq5rE0cwJEaM/zM3s+gNfKQGZLGliRZ84Js/Ill6JeJZLlidRvcNLdzOGfRezE3oyo62qUyda7Ua6z79ZwUk+TMcvnrNhL6PQ8znE7v3xwAK11AOVBWnXS+Czql97CN6/20tqwbp1AWsBGyNXVuSbTXvbJXABNRpB2pw44VbBWkclQstnSh0NoJC9gHR2cUfdtnY9tYs0DW6XdRjisX6O001BAyONRp77Hqq2w5dp2UU+p8EoSXExTS/dn80o8RWXgbqaK7epWo4tF8U18cnwO3zh7CQDwsfVc7vW3V+/Bb72QksMWpymxb/6KvxoOR21GujWLyeDXvD0HhFEnH+Zx4siIviSP1b+VBEXSBDNmRptL7S4axnSZ2bqC+nxskmQEiV+pcJPszJCd7GQnj1yeEM1CRTQMZnFIrWIrn18bD0SdPA1zOX42zSTVGFCV9tAtsZ/BNR5cmTp508ZL403cXiSadvYMf6mqmmoLdiu5mmGa/q/7IhqCtQwMnFdQ4p7Ua+7UfGGCLOfTHFKrZHaXBfNxeqJ4APe0qu9n40zGcmU0iwTrzmoys5LVRq/minUoQglyejdVURKtx6JjU/JUpug1MxZ4YCp0OadxQbSAs2kmOSvWyQ3Wv/fcWk0PYypZx/bMjTI/Wgq45dO82XeDEBxdhBm+rEla5T84+SrRaD90/z1YvpKOl1tvL43p0ULqAsRWneF+UOoBRCW5YQ+FYkSdM8T6LMk8b45m0IjEoU5Ro2yYEuQ73RyDFsryZau622r2lhyp82ErVuVB8kQsFiV0aiWA5JgFaLVOuQg2WbC2iU1RbylKNMSbUOt5nOF81cvNNCsFVlWqYLEnH+B7KD8BkCIm+XyZGJU3HMKyFQy12oOeXWw1pb29YLhMwoqTTq57d7UvuRML31Y8EHW9zqvjto5eczMoqunhoyaPmfFuDXt3ATiN7LBf7hdUhacrEJcF1Rkmblsx3iaD2ahOFUY1+R2NCanODQ3VgS/8FE6iYjMa8dkpUd+9p7+DT4xJlw/s8GuvJtDVZ+7cQnOmSF4graG5AiEoaqSDXTY/kBaF9lL9Ed4cr8BX1jdRIiNs0MCoN6GyoLAz84ggkTNaO7hsPp9cznF+kKNc5hnYqJItQ3ld2ZkhO9nJTq4lT4RmYcU6w6Qal6nlYXcdS9Jrd1EPrUjmTcWpFoxxC3HtIvRY5xg1N4ySXmBhuQBk97fe71Rs29oN5vQC0S07kMkkDC1VmkZl5RTzpdHj7BNJDgDhdQSA+SsOpVDZK2eHmHfp5ufNiI61ylsxMerUdVRRiiJV9AS1dmArwG1TYW0pQIubkH6b9u3vN4sTV6Q1kvcRqt2xENHuubUh+iFxgAPJDN383FIQTfVb9z6Ff3DyDQCAu+M+PvnSs7njhL2TrBHm2w+dPks3osoPcobkRs9RDSJ0Dn6d8SUNSWTN0h2wp0qzlMew4UQvJgmTzjF/7sBtOj6sOim6vY4ee7lEgK0lM/cjOjdtjTQ9SJ6YxcKZ/I9NsSULvWGztmxalhehtwljNGGWkXup2nY6J+WDpHNOwxyxqOZRH/yVB1dQm3x1AdmUyvdQUJ2jnQwsaqabFAFoJ0A0IVV29aQtiWf9fRZE3+mrB1geKhnujT6p4K0PmARZasOWNV1dWXA7Nwk3wibxblFfT4o+Dl1QIrsquiIJa9GjbwrCzVcLv1WTy6JgyYBL0hmQNo9CfmwjIJt0gMX0uAgz4aQAgP28C1wast0Fe/z2/S8HANxd7sG9mlZk9iygKwHPWbV/IzGMjEkix6JuLM2goe8rYnwTgtQ0kbOKNT5qNMRGVZoFYXgmNcBrdyVcXqSYg8W8exgE584M2clOdnIteWI0C6DsNBlQg5rxSNOUDU28jd+bHXNGo6hXM9JSf6NRCBJTVvp8b72PcUzXp0A2GCCSVE0DxbXREFKtoPpedgb7RcFtqPpJvWXeItkt3KQw4tCrphLmGj3pzhhhlrEptz3GXFPifLaW2hGtD1hOuVRjtzTmgToYrVMTgPBr9t5WC+fKUWp/C6TqWuMWMzIyiRM01ePQdPUC4+/dJLkNkZ2YkZehr0oQShV1V1dlkzlBTrSJyA5P5QiINXPO41zmx/+7fC8++rkEyOPRYZZBTt2ZjnHxr1JQzSJFQIrGaCJeZp5YZyRFRuyzBuYJlQ5dHJzms42EWanyTZw6UJsVYVWc3ms1AQ/aQRzBjXm/hthkzeL68kQtFpvsTnYB2LZAWPPEeslX3GKfktqbkJoqJcKyAuE0v4l3VgeI67xYTARfMP+RVb0ki8AzamdjzBKm2m3xRZ6EzSfwA5DJyOGCHmcypoyH+FJiA1lQUkg1fe7vknjuV890eC3fzK3ZAku2qnrO2XBjpa6WF9pGH8Zoaml4U6yIFEhXCHs3/RSrvLA0TnND1rFBNOHSkvCU6rpqKLQsNHaCO/OMh9hUSE1bOb1IMUcAoEPAJaeZcBZn+MQqLRC/d/pOuNtqehSQU3uptVwEEGWeGTut68HEVR6RZbUq9AVu0sia3XRoiuZ3ZjMi1JE46xYrj9J8dmtI7hIzKh9OWeDn3oahHdaxeSgE584M2clOdnIteWI0i21FkVvJalQylHaD4LXsNtbZWf4uvx1LWjopcU5kwiorg/dWe+CpOBsJzUrj5GUXcBt4frlPqHc6NhBnlcX5S1jc7BbWARrNcZqAwtgeO0jxZG4U+DPNrfOV0F7ksblgIUNZ3u+wzPDf5m26265jI6p8ZKoIcErU4jJ0EmlIdPrpfK3MUjtHrVOz7Gg9aR2LxikEOzChM5ErhXsHnJTSAS6gsU7V/MytKWHT0oG60lzRNp9tzjByyYId8InheTnnFz//bwMAzhe9Zo9GJ2NpYfdlynEDxDIIZg5wQ6AyZ4I+dxcUfwFsOsZJf1tMj8gyf2qTVk0iWMenOa9ZMrhoV0snQLpV0Mrzm8xYQ6grub2ePBGLBWN76riV0ikPVJERYSu2dU9tlXHDYbEJ/Cq/OV3OQJm2zETd4CYTGZlgEHiMKg+k2KVmotjoheO6Xel3iXqYUKxdiPygbU5ztZ1d0DAqGKCc+t5e6ILWv6ZcHC+/+wiLIan4zYE2sApNFXJucwMNxSqnoN+gp0s3agr75GczRa1hYlPbLWo0cl1OTxGcsTpeFpchNmjzQ7EREEcshYb23Fo2lj23Fn/ELX8hIdJjRHw+lxhchA53P32zdAizDGZqlvosQl+bmrmj8nL6Cbp5MOrEsMp8sCbHA+aBREPqz1UUhHUxKqaN5chIRMG5SyOJ/6ehiBWlMejsc8zh9AdMza2yM0N2spOdXEueEM2CrmAskolxNTC9GQGxzEmWFanIzAbDodpjAIlau1j0cJn4tFkQ2JVV3JgezLqi0xX8lZwjWkbUKInsUKaLFluRnF+6o8k5o+YN9CfAOieY+qVWqAKAXPQdflBNaH6HsT5Kv71zcoCQoz3PHlzILr+YOgHs2Apk+42SAKds0KtkMg6aAVrMGstwtTIqr01/3zRftqW5A0ZbYbcVf2O1tdZNMg+e8hdYZUfmM26BT8fEbLXiBi+skjbx6fOnMbuT732fUfygflD8Suwgx8sz8YPRFkc1T+A0IxhQ7cCN1nmp2kc6kM8lnRdVpMOcU35fvhCHa1Bt048MeBNJyTKxQ1toHMwzmfmS5/MlZoZsEzsBRkAiGhbNWf4u/xd/RmSqAD7bigl5M9nD5BRwZUwPZ41iNg/BhEIrOzRCxz6iKlWYTkYdISmHI1BI0J0hZ7X5BFUegOHT8Bf6eZqrv2V2X7354ZU9uffpeSf1Reet+n+m6BDzfS5DK7wYN7tl5ZN4UM0RIKu20ctnK7a2ieXEKOctQyvRmM4krAFtzbtRAF0ccNBoCKKcc+iXuBzT2z2jKDSDq9jhD+8ln8Wr947QFXTt2jCi2WfDunBUL2qxwgLDj3qcDfeEX2fGbcPcDWwAtlj/d2sdK8uNErucrg5bXZ3hsn8thWbN3ArlHjZ4RbYgbVsXsI4mu+0asjNDdrKTnVxLngjNwoExo6ni4bQArZYChg2GLKB2cNrs0pkbhR2rNaStm+KNzlcUBGccV260ZoXdIli1C+PQ2nR88sYHJpI8EruDUOCERUeOohjNvIBuQqdgsdiplhHmibUJSOpyDGaHyztmd8/JNe98+T5C5u90BwxgJuNXMA8rU6nq0pRE7NwEtyW3xoqtQ1Kcp5FJ+ThNOnlkkglozaBlaJXpiaIhcgk4y+GhACcRkMhOyHVnNIoZMoKEW/X+tI+XX0mfeeFNSjlhW5YBOwjeRqYe67Fkkhht0LBdlfkTG+VTTXlGev0q69RiLbawrrEz0Aq2oC9DCu0gpQxhgieWmSw5kS3e5uHMkJ1msZOd7ORa8igqknkAvwPgJWb+TiJ6D4CfBfAUgA8D+AFmXn+xawDIFcka2e2rrEP2W7UJB6V8m1XhvYiZibtvo7PvKUiJAOsRchPEFq0cUqboC3sD1TZFX8AAXFFRLLzOhNXKJuJUO4kdJQIc5BBtcX5ZG9c4yJZvI8k8Xd/Iv8ntFx/k4hkn9+gH3eEuTvZEi7q5v8Tdy0Se89zhufgyllOL5/ZzotXUyRgftYxIBU0ZTUmBmY6fwbEU6ZwmjM39KBpMYJISBENoTMKaq+xsDYNrMeuWgjB0n4Y9CZE+4y/xoVw24pWwj4+cvwsA8PLiCO5uOoe98f9EDY2mwtU65oVZfdzPYfuBNaM0GK4KR+rfYtUa3cji5EwJgton6/yshK9qDak91UgLzJw9IzYmNVU0WB1/m1VqkwI1+/f6PotHYYb8MICPAShkkD8O4H9i5p8lop8E8EMA/vYXuwADVzzemyAta25UA2AmVZkwEU7AOAEknJNtFSUx9SicrQQFeWBXHqh1ZkczOWyc3JfPpHkgUSePLATeLlCs9US6Wi20GAxuyqRVsBZNkBR1Nyl2YzTMWhSgztR7LfL7jrsHmhPTt5NgMRwx9tp00dXUSnV6QPNAOj/BZqMWEeYtcmJaHDQDFlMum+dHAQclTsh0jfOxF7NligobP596uebca6WtkZ2YG6+NBzI/zmOH22NiPfvQ4r34nZfTYjEMjYwHj+q8ZKcOztiqs7g7N6Ub7CPJjz20ZnxZyWn8oNT+thwhAXBrIdI0c8NEUQwjFuAq57bCW1jMFiZzjpmcxPpepGzinBvignE0P7xR8YbMECJ6J4D/CMDfyX8TgG8F8PP5lJ8G8B+/kTZ2spOdPBnyRjWLvwXgrwM4zH8/BeCEmYti/CKAd7z+ZRI3YKK6y+E+dqJBOKNNOIpVGNUbtXQVFXxQOBYjE2JhWyZlZt93hDvFeemMehhMhbFJPZ/cqFrPnmoHlVERy6XYaCs2a9FqMLq7KRGOm/T82FjadwitHk1AVDoJUZ3HQ4bPVbK4Baa9bIasVKVtFkrPtzrvgbw7ns9mWFzkDND5iPNcuGgxdDicpa13mBqpsdr7qdIEgORAK1pDhXXxo8T4l6EVTWEdGqxyNuzpelb9pmgijhgXORR60A7y2REL5+oLy5s4zGHUPxreic9ePAUAeG04wMXtfRm/kkflB9XGQscoqkPoDXYiAmMqUofuNI9zQ8I3ap+lZWe39UppUi0ARFV4tZo/Yyi3qHOpcRo6NeZwmntX26q1Xq1OZssl2AJPYy4YtcWf+kD5Ey8WRPSdAG4z84eJ6Fv+BL+/UkW9LBgA4E0OiKOIMd+qBwueYhH6B/JwFjXLZp06QFTKwIyu2MJmsWBXmwhyv2zVxTquvu08mixEl+S70Ob79SR5A7ExrFmsOI/YaBW0aaYqcrpHPaeow2HGetxDfCXsa4++TObzRrJUL9s5kAsvrwLh1VHp91frTITjIhqfAVqTx7xPfiGf22m91vJoXFSPPOaSIl+uCSQ/xSJX/j5fzrAe8jNuIppG0+uLNH4fJ+dplWyaiJNV+ny26mVBu7M6wMdvJ7arrp3gL7yMQRH2wDQvviVgPFKTsmAY1scG71LekpBwGcBGBMRYq7YcIbFGuTaJb8oiQlMEYpRzlAWLQGPBa2iUjSYGsp/CRs1iQ/Jg7YwcQoN5dmStTaawsyvcNeWN1jr9LiL6DqT42xGAnwBwTERN1i7eCeClbT/eVkV9JzvZyZMrb6TW6QcBfBAAsmbxXzPz9xPRPwHwPUgRkffjIaqoW9TfyF60gxtuwOgKHb1qHBFkqlhplGTNDfacLVS6Xfr8W98EUcfYE0Kru05RRZgInNly2JMm4KgWW6uCFvpdoiETi2efGAh90V31d83AGPcKQo/gMyJzfWhQqzOrlgKRjQZRAjwtC2y9uq+JpD2/0igJnTeyU0UGwpDNuPmEMWevUsOgJmMnRq1m5awDNGse824UXtMQnSBUz9c99jJyNESHs0XGTQSH8TyZHqMdkyYKFN85xnSRHZye8YVsNuGiwfk83fyr8yPE+xm16RltThKLrYlmEcBd0eogBY7BCf5dxqloEQVq0ixhTACTZBhZIhQUFG3pIqvdSwRXTJJozJMYTSJiUPyOpWV0pBqKGRuKGv2K3oyZQ+WUrrOxNbIU2T0EyuLxgLL+BoCfJaL/DsDvAvi71/1hRdYbG/FHLGJf8W6Wzy7x7ev5lpdxC4tWhMLGR2hI1fsoEz82MBWxnXqhjbnh19GohVEeJDsSrzhadyXLkMhUzDbCTn0TTFRV2NY21ZdRLVCpg+n6QTVLN5CmU9vQ8Jj8GeX8MiHdaLRSgkxgHh1oWcptAbEsfCNhlcs8+v308nMkzObpDVus2ypkLYTITMLgNUWHYVATh1ZZvZ5IyGdp8ojzvEARwy2UWLn0u73vhAWNzxr4se4vUNv69glYVZ4bwF9qCFuqjC313HKNZqXcp26EhqEANIu0irAjiYCwV58XmIFihjCrGRIiUCqS2XliHAtMFnGFCjYu0591bicagm1lIUvOz5sbOgUz/yaA38yfPw3gGx7FdXeyk508OfJEwL1LNMQZ5u6RvWgW52EmqtTIHrfXKfjyXH+KRSjecaWJ94gSDQFqNaxIYOVj6JqAxSp733vdYWPrFGthMFZJ1dQYO5tYeoHrRg8xW8rOQFMEZc0jdIrhjY06TKd57Xcq7TQLYMqO/Wap0Y0wN+ZO0IxZP2jUw6+hu44hdbGB89izwoVZnbI8Gu1qTXBRNTB3mc2MpuyMBM7YhBAchqxNELE4PiMTVhn8NQWPcN7m8YjiXHSTmnluTTIgFAicMyvdQAiZm8ONlDSNfFydkDoebq3jygYjAYYU5+GGBew2zbSaWCHEsQl8VbZogDzjMCMUQnFiAMLgHkWbSL8xKk0wJomkEaj2mtpTzIdwpkBpHClAlQTSuQ1omYy5H6uCyevYvOVmyBsSZ0KhxR+xQIc+wxQvwswUQ263grU8Rak+dbXSWZKIVA4ASAMbg/EflHlEMGnkeg1FzeWXvMomzJNzNNcpE8xrIdrYkaixoSUN5fUkNrKtDd0sWSa1oZbEmlW9DswSyfFLMqFWLUEwtSz3NR1G+Ezwy/MAZHOD1k7NkzWlyvIA4izKhHSDdpoWJdYLDLNiVrD0dT01ko8CQKIrY/Bwuc0Y65oZsTeRJGOjV/ZXAaAdRY1y7UWhyu9OSNP3V2bhmNT8SMTJ6XN7oaxjoSfsvXI10lXPA/u5+LMgCwSTuVtLgmNzi4h0sXBOzBA4h5gjZ5vALSlxaN90QjUP3ZbISEJt5ncED86ZepDsckN2spOdXEueEM2Cr+AsquK8FLCXMbmn6zlu5NS/i9AbVmeuzrds3/a7ogiu2GNVoifrBmE0sWvrNJIwiblGa3ZBpyoiTWrwJA4CVXWBZJYU1TK26gyNbb1LlLg+rRU8hKXW0AwdoT/JTr9WM0pdoJo8Z62mktz7TM2WoroDALURuMyAqlHxBn5FWN/IzrhASbsAEPuI5qKYIek6zYXDOC/cFxAyltAGgZUDSYsAgDB5+FJX1uxbScXPO6PjCrBmVf8CWqrKLniWSEfYY8TsKG2WJgo0EKJXjEQxPfyKRZubvcaY3c+M8r0+HAHaecDH4tjW8XXrTcpFM8bFkbnJZScREAJ36Rlw643DWZ2a7FAVBrJwb+7zHwsnDs4U9cjzbJM9/yGKIgNPyGJByGUGr3HunluLD2LPrwWUZStgBSaEYkNC+R+tg9kuIOO6AZe07VHXKUvFD2z4EpydQGXisT5UMuuMnTxOjxUq+SqnBAr8IaMuWwLZ2BlQmImA2M/c6mIQWkiyWexiCp8CSHkt+aVceTRDUaUZTa6fwS3Qnhc/i7nPSPIiVmSy2dfhFh7xKDW6HhrEshg7RljlaRcIjQlPykIQIfk0zYIknNmdEIZbZWEiCSH7FalPpIUsQDZEGmb6bGKj/hmKG0lluXv9qYlurMpiacxSJP8SkFmqUK5h0Jmbi4KdgMHM9mJ6EIHbvAD3HpzNXWaNosXWaVKZMwvgmtOCDwBRwWytC8K92bog+TqR66pl15GdGbKTnezkWvJEaBZWigMmmGjGpokxFHp3Q/9vc1Zt1imgzOGegNUW8sw4eIOn0HTgtH1YdUSdUrKDm8K2bjnVy6/UpCzYgAZBnJoK9mEHJUxhQrNWFRmDxvLDXO+98GvGToE5QI6OIGkSZUdmp85RON1t3dIlswQADZrBGOZKnDN2ClpKWk7e7VoFH5XB9yvCmLWN/q7DMmcM8f0OyFoOzwJoUTy+qkFQZNFKEpdoJj66MHktl8pDWmVXW7j12oCp5gx/6eQcy4Vadn+aCDmjHc0lSVr6ZgW61L8AzmYWsVIZ0Ab5TckOpglbpcJWADqvQhSnps1MrWpIkGa4wphfzdJEWqDZwTOvN+GgRDgjOwSmh3JxPjGLhaMIBxKfRTRJZa2bNujjM8jEdB6oc/cLQGszGtKaQfflYayd5FFQMGaIIyGGTYWR8711hrWrdzKpfOP0AQdGmcVl8nLrqrRmKwL2WbJJSlITR+4h/5+zsLE+0vPhUjQASP4DATatSfwgbulkseCOxTcABkKvbdni0IWJix3gcoQlEsl1mrPitQeQgVV+BdHpm0uH8UZ+UycnZhC3jFgWEa+p4m4ikAFC9fc00lAWrtCZEHcHhP081oMDCmpzxujuWfOuLLCaT8MOWN8oESwSpGzoXGUC2v/T98aP4IFiDzBrtIwcK7HwFIUagEEg2UhYTI90b3ljcdaO3ZgsEto3pvDE4EKFMGgVsr6ZxNywEIJtHC+vJzszZCc72cm15InRLKpIiDkGJKfmKm+NniLiNmp4sDFhNBXXcnC2UI0vMlccnDYcIaAX00xyhOVIQOfEwcgNIRTgzZ4OJ43R7Dw21JG/DxDWpWBw/X7UKIqNbFj8RWzV3JhM0SBuGS7v7LFhUN5J2zOH8VDBZUWboPkEjGWbIoFV+wsFYrlB1emkYaRrTvvq9W8uy/2yREhiB2Cy5kuWieR63Jhd2zP8MjuZ11rsyQ8aoUhw63TN9ZGJTPQMFOfe4DDeUJCYAq5gKP81asRen3OYAeNB+tzfJww3NrI7SadJqjiXx2isnZrFlPBDUOe2132ZAqu24J1EQECk+UKo8RU2K1kiagbCXhHkBKUNWAcv5R4sUCuV0XiYemRPyGJR6obYRLLNCmWWvFeqq7tJwnDeVh7bUm8kHVc7sCVtg/Yn8DIza/UQvwJF9X4366hl6dZRPNWxIUkUG/caxeq30fBZmIUlTwYbjrOhv9ApKm+aK5ls6HXx4IYlpMqtevktGhGsL7FfAS4vCsOtCCqAqj1IeJMaBq9LRIiEa6NZach2BGGWbfpFZ1764oIwLyQ7BW6xQxWBKZEIZ+pw0KRJbc0SkkDXLJW+zo8MX8LBgTAeqikRZ7ktSmo4kMZCWLAC0J1nM9K8ZNNMoyGhhwLW5pA/tNqYRh8oAu2ipJlzFeXShDXSUHqImjwWImgqZlkAH87yODrdWBhwgy7wNuIWTRRN7nfPo5i93FCPDrwAACAASURBVDD6Jj2cYIpVv9HQ6c4M2clOdnIteUI0i0JSo07N0WBpE7Fulz8r4KqlIKQ4gEZS1qwZqwEkVckS4746jUq67lNPXeC1V5KbfZpDivO4iYG8Y7WXk6h/fhW0clXrBSTDHRTfy15TviW1XVXI0EKcjmFO6tE3JDehN+cYYhsAAsGGY4k0YHTimJzmjO40myEXqpW0F8aceYrhSsr52qMUWvIDCYbg8HMsOII4AvO76fzlsx5tdnwWZysFCJlO7AG3Ug2NjEnSlHMaoDsru7eSENPEkpfhR0ZbPP0MdGPRMhzW2UyIHRAOrjoy2zMSTaeJRuuZK87Cjxq9YG+JhDQ3pOzMNl+EvUYlnFOTLDGtqRNdoi4WVxGjRkOIwNlEsZmxYNaM1aY2YSozpBDwtk5sldjUWkP5PJkqfyUXix5Cu3giFott8sAIiCXaNRI2Cu4KG/hmbojxLJfv3nZwjnt9ytJKlcuz6bG0ZoCXlPNmMWqdj6D+i9CpCpqeyYbvw9wKGbM19Cb8SbpAsGOl3qP691qHkXSxINbksYHEJ9IsWTzrcUUoVB/LywaUeSB46eGyz6A9g1xndhIw7mmEo7B7+ZXW0CiLj19qbZNpj2VRAANUQrSTts8OaM9FZ0d3ppEnUf0NotaGMilG+MFEYcR/YEBWDPSnes12WX6vZhZNGq0C9HmnIsn5mjq8mrZugFihd/K3jYyk8pe6KIi0DbgpDF4ecWZDycV2tXQGZqHpGpNrpH6v9b6aw7FNtIdFSqW3MXp5dwIxhqkRaobryM4M2clOdnIteWI1C8u1aQFWACpVSs6neMUpmn7rxNwIYHR5hV8xi3ly3C3RzbJDqGPEvqjJ6tCKLYFKBGRJAt2tnZ1GXWRI3VHrQbcFjS3ZqpgbvWoHxCZIY/7wg55PgcBFpT5rxDzpX3PigKQIdKdl11FVd1h4UbGbM81FaC9ZoOj9yYjVzeSAm78WxLnm1ur4FBBS0N1/mqvDsoDDgIzfEFNNa7PGzjgy1yyaVrPSe/GrKG3FRlnE7K7tJpKISXum13STqu/tkjFms4WcRl4AzcWxPvLyeTxQ3tTW5uEw0AbVWoTk2ZOmpXvFTXCrUO7YekN3wFL3lJjFdGHvwTnCEj1VZkjBCq1ukTio4yzioE3q2xSdaBZzr2nMHnV1suvIE7FYMBPG2GDmJ410GFMjgKoFQtLSwRWCc1sthACt4B2JxQwZOUVEAGAdPfYy4es5DipkpUyUPSe2u1s3cPlBuokRGnN+MS1aAkX10ANpAqg/BJj2TIh0y3Njp0Vww0zVfgr6wjeXhJht9O5MJ1J7DlHrQw/svZZ+MB74imhWEI4MA0wjfcmGIGaAXwWMB2kl60/VlyFgqjUkQgFSH8G0D/WHrDTa051qAZ/+RGuntJdKbOzGKGaQmxhTAcSRmhvcAO15CbuSsHH7gdFe5hfOAT5HF5iAvtAATGp2hg4VWGv1tN5naac8qBFs6sFo4h1FXUTdGJWANwDIERCeNYh95vSY68LhxqiLRYjiywBR4j9BWpgFtMcs82Z9k0F5seCDSQpbH7SDzP+5HytfxjK0W7leHiQ7M2QnO9nJteSJ0CyIGK2brpgRxQFpj4fMqpV+GE2mab3uSf2RjWta12jRHO8Peziep23wIqpjK8wU6jzuOSDH1d3cIeadpFkFUTubgTXt3DgtBWdhaoKwN7khjUY6qsLIRJJBGWa68/olxEnoRkITyr2oJtSfMtpF7uCF3tfsXlTuyIHgh6LWM0IhzlkrQXBsvWoQY6xg6dFweZZ7F2DQpM43CoT2Qs8tJlSzZMlx6U+Nl7/VcoCh3ygN6Eq/GV3ewdcEzF4jaXcvF4SZekJ3kvlBG0JzlgYtHHRVtbnlM630e3VcxkCjSaWfsYH4Gm35BrcGuks9t4xvc2loCgBw1iZi1yBkp2aYq+M8dC5pcrmvsVfod5ipRiVjMAHrg2ICQ3Jr2vko2aVT9JLEMkUvRL4Pi7EAnpTFAlyBrYpIApgJqVrxYBQrbDMvJJpoyINUrbGgEaMT6jFrxsVG07DZKZCKnb5A1ha2Ke3EqmKX5sdG09KJNcXZjYRSZYNJ1b3oobwLI0mYMcwYzYWqwOXlm93VBWXvtoZ6u9NRuR8oTVAA2H+xMeFYkiSt/mzCuF+S31TtnWbGhCFgmm8s0B2EmcpNqGz6IuwVERp6vXb0ZlFAHfmQSEND8rlZBpTp250x1kfpfrvzAG+SqvwiV1rvG1B+EWnGUitmmnsFyJlohDMlDsuGsT6qUbW5xhHCPEUjgPRcC3AszD0KO7KbIiJlrgpfIzWLeRQ7pyzejOqZyRwzQ+4mxnBcIkLKZ9E0UUh6ez9JbdlUwUqdZg+H39yZITvZyU6uKW9IsyCiY6Q6p1+DtH/8BQAfB/CPAbwbwGcBfC8z3/+i10HSAC5iK3VBrJbhN3J9i/NzZL81RR1ABR2XY9CI9ZodTjNXfohOHELERn2OdQaomBNOnWIUvGgO7KgCTllyGyCBl8SUGFCdK6Als9iTUwwAMedSe0B3SmLihD4V8QVQMW61Z6NkMDbng3rcYxTnGjAXldkvI5ZPp+OzVwdMs6QiMJGWRmid9Cm2yl0ZDX+oCGvx5u5cU8urzY0M8KkDuvt5t5+ZiMalwuyjJ7SXmXD2ZAXKDbcvnaB7NjXgzwap2AVmhP0CqCAs35XQY2Gu/VgfEpZPq3OyRG68Yday5lbBkYROTb7oFchHzGgK+9eBVyDfEKqohyV/1jFTLTXMnZq0hq+VIquZyprL0iwI8cvSuxMjiZkxRo14OXClHjRvcm7ITwD4v5j5e4ioQ8o2+BEAv87MP0ZEHwDwAaRaIq8rDyIQ3TRPJGHMqFSAAWJVJkl9zYKlGdjjLE+2i6GTxBu/UG+9W+sL3awYU34ZnLGdQ+/kfPaaV5JsV+lYPhcmJVxNHL/SFHI/1KaQsAuSqVF6SydbOIgoEUSJbAAAzUV9PoDmFrT3lhKS6+6vxWzyFwPaizQezckCs8Nsxw9BfB/TXM2o2EHMC2HtYlTgqFIW0J3oi0cTtHgLo2IFk3Ektfu9CZG6McJfphfCnS/RFFTb6QWa8iIGRUeGp48w3Mobwoxw+Vz2E3TA6pniE2HEwzzInsXur1i/cnKeGwj9ST5m6RcjpEaLGwlj5seIHrLosfNiWkUiM07RRDeSWZT+0DEILVWbljXXyvz0K6DtUj+m0YtZvQqNfAY0YhiZEB+Sz+JPbIYQ0Q0A34xcRIiZ18x8AuC7kaqnA7sq6jvZyb828kY0i/cAuAPg7xPRnwbwYQA/DOBtzPxyPucVAG+77gVnhvs+GCKczYzUsszWvJuuwmiU3/YU0BWMBnR1DCCM2Xg5u5jD57J7nakvUTe5obCVnb2rv5NISkcGo1EuouYGe1TQcJedZWQr2BknW+w003R6akR3kLbkw/mAeTfKLZ0u00n3bu5Lha/hZi+7862PMfwynd+cD6Blug6NE9rLlXyefSZXDXvmEP1J2rGWTzfGIan9Ljvd1CnE3E1QENmKZcBcSBmgpd+C5wiQjEv2VIGpihnSnq3hzhLYhC8XcEN2Xq5WcBdli/UYv/yZdL/P9lg+XcaAcPEVJdc+wu+lz8SE44N0zb5Vc3c9eQxjepiFbHhatVjnHCW/IHQn2dnLqgW4tUaJwIRYTBLLmxpZtAw3cc4YzWbQvKS3m8haS6rFESpbVVL5VwAXJz036LJKOsVOWLOsPKxzE3hji0UD4OsA/BVm/hAR/QSSySHCzEwPyFTZrKIOYIORm6rPRX1yBqkZ2MGZ30jyWFWwoVafpLqgTYdfNeAuXWc2QR0b1gQn/ZuieYlNCC30qkrHxvg+yoNulN6OHTRVezTn2roUrdr90xwIx+nLveMljvfTLHlmfolZk17+zk1YH6ZHeufwAPcXye9wf/8QlAsCTfM59u4knfnws0tBANJ6BA05zLhcAqvs7yCCy6vduO/VVGgIUmrFIEVFyCRueY0ogE3uRlRAFzuTH8NKE0eB0Z6lH/jzFegsxWDj6Rm4zTVYiVAoDONTRzh5X+r3uEc4/epSPpCBThPShDR4IpyskuHvZwFHh+lGj2YDxrwIr3NRpFMAIddFYQfQq+kSbq0RmwTy0n6L2cZkFggdJiblDgk9Sc1UbmD8GroJWVQx2arua8a4zjQLi0YiII5Y6uzM/Ygxv0cdRWHTuq68kWjIiwBeZOYP5b9/HmnxeJWIngeA/P/tbT9m5p9i5q9n5q8/uNVuO2UnO9nJEyRvpIr6K0T0AhF9JTN/HMC3Afho/vd+AD+Gh6yiDmArYa8tEzDGBq1Zmv0W88TKJtegdT5LzsnKIZYKTgQhzLUFiG0NWTcxYtYKprmCkkKvjsrYGl+ZAImoul7pRrPcuHbejYabjLCXnWJPr3F8nHa9y2WH+xdpt1+uW9zcS1rGvBmFFWm/XaPJvJT/xlN3cGeZds9P7z+Lxd20OE/9Hg5fSDc8v38BTOmG4uk5aNbn+2Q4KaHYI5ZsSUdy06UffmCJnFBk4ctkE9UBUFVUKwS508zUYokMv9JszebeZfp8cgYekioSh0F2Om5bxOdvpbH5sn2cvi9f+xKp0hoABM3K5JVHc5JTBgYFx1DocHoj9fvEA/3bU7tPHab/Z7NRqrWDPdZHOUv3nCW7NfSaExN666QEWpODso3Mlx2hvcjV9o61qr0DV5E4ibBEVudvAGIsgBjCasr4DoponGZsiwnP7qFNkTcaDfkrAH4mR0I+DeA/R9JWfo6IfgjA5wB87+tdpGLK2vLCb0ZDLCOWpNya/JHNBaKAr1poFCFFkbKqG2uvcAlxsdfQKbvarCg29bTnKv6JYq9Oe5o7INf1WjCnO9VJ5UYtixd6RXaORyyT/fh4IdwD0+25sGgvHeN+uJHua39CN8/hs6AMSXt7g9SR+Iovv41Xb6YQ4vnyBsIsNdbdvQF3nhYjtz6AFMcZ16B19nFcTso+jSjAosIYBTg0JczZQJCtblTOCzcac8WGiaOq8knVLj6ACNi6oJn1lpoWtJ8WTNrbw/33psXw8jmHKZMWxxaJjBmAv/BoM5At9CzIWL/W592sErkwkIBeFxfpml84Su20zy7h9vOC2jDC3U7u17KiiSnhtJgRnIbewcoExl79EYCasX7QuRpBJuLE4iNyEwsClx3gXEmYVFkbXphl6IS814GxDv6hksne0GLBzL8H4Ou3fPVtb+S6O9nJTp48eSLg3sxZezBRD28IeAE1T0b2VSmAAuIaYls5SB/Ewynfb0aYS9Vw41gaDzUeHlsDoDHOqthCdobYAuOhquZSsas4Ak0Vbj9Aru2Ng2yaOQV5zYMQ0Z6e7kkKcneq2ld3ZlLOb3qEps/9UNani4NeqpOdHw947laipPrCn+pwcpzO33/lAPufz/dzsUA8v5A2aJnshuZ8EKAXRSd5Ce1F3tE6jWKMe04BV2aWWXOkYpKKdXSo8FX65Ya+3mTH3XwGOkw7//j8/8/em8XqlmTpQd+KiD38wxnvvXlzqMys7NHuKrBktdyWQIDAQsYC9wtCBiTAtOQXJEu8YLd4MA88GGGBhJBAlrCwJXDbRki0BBaYpqEfLLslG9x2dXVXV1dl5VB553vO+ac9RSweImKt2CezOk9WFc1t+ENK5X//s/89xN57xRq+9X0XuHmvgEZnMqCe0D5KRM996foTunfSiYw633ZrcPJ+muMtY/2d7GHG7zb7FcK9lEw+GTCtkhvJQL1RfE3JplXCwyHdzATO8gpWdWeIWSHeDqoPUgymOSw+t/hPLYmXUHq0jrT1YWKDMWRFMsIQ3EwK8fPGK2EsiJSIV3o6yM8qIPnlNuA5YW/axoOwpExSSomK79Mjv2ZdEdqwUzBOKJi2g0WkygMwGQgyj51m8QF1q2+nT7KLmGX2orRe2qAA8oRe49DhvOhJWI+qwfqiRvMizc2glYP+UpvQ/DKAU8a/vegwfBTZv5qnFlPKffD1Eh/eJIrCsx64Hy/k5p0F2MSX76T3oJS/wKDlbDoMsF2drqkWw1BK6OVhJu3JCQua5Smym058C9CVp6aKTWsAYEavvA6BkenZ6fQE/n5Ebd786EK0P9yOlLB3jHmL/FlCxBXDtHFhsasRJ6l0ut23OOzjnI0rg8WTlIdID83qY8KO4k6GwcAWfUOSm6gVQBpL3TlJpSVmpjkaGEWJtE7XOrVmVsIXzVsUOYsB0qPUnxP8ISP7GEN6QFo7ok+fy/DcECcE591hWcfekOM4juO403g1PIscTtyKHESRrPAyLIUZ+KpMfpZtty3lHhMjwK0e/JnW0azHKGGIeb0/r/BA9A586gepb4pegKCuJhOKJJpCu3MyLVSa9BxPNCSZFtpnMZ4ypqQJUjuP8CguKesPjPQB0ATUyY09fLnwoCyjWkYfeBqtKo9ZKEx5AIY+rY4LLxWC7btBwEH1Zo12TKClrgf6HE8UdPZctqBrQk/U2Ua9voitKConuTrUaXepL1zuYAl2H4/PzoC38WKp0RsSzk+w/XL0AjZvG/X0CuCb7QjVVqsU+bjTheqlrNYd3j6N7DZXzYDv3I/zPZ4YaXvX7l3G/s24j+apQ/8wzdFAGM70NkydPgM5iR3D2AzyUS8VpC0CdmAh+plamoVv41K9WuEtJU2sTkuSZO7tyGLKD7TRMH36f6Ea8kMbZciRRy6flqXTxozokz9Zclt4NhhNar02c9cqu19l6LEJLa58zHK3iwFdijf8QtmpgoM8YMFpLDwNquBdbbWXpGTWMgOEAm4mc1eU1aTE1mr5cTzXPMU4ODE+wSlar2xiMu2EsFOcirW5/yBIVpyNGjq3jyxaADBcVwht2tEiYEhcDts3KlCqsFQvOqmSoHIitcdOs/gSZxvMQ7j02RRs3SgqSaVrjh6z9n6hoyMDsJZReR0BV9PFAtdfjucynjGq62yEWVTf7aDvhwfQn+cTVhBk4zyeHhJZM5MIHXERjkrbume4bXqZVwzKrFq1Nvm5A0VmMKTGvvL5KSprJWNaXmxKXZJQYdaHk0MoX6jEA4UgVQ1kDRhAF87OV6hTJWwqRXEBaWO/6ziGIcdxHMdxp/FKeBYZZwF8tocBFCFJkZDJ2gfAvDekpVE6UJfkxSvpCrfr0XSGZ1NMkK3aQfD/odJkkl+whEbsoKLDeytmdjhTjIQZ5hTzmTzXlpT44roX7dlNUTFoPE4u4kp++M3zWRu7cE4SZPVqlwMOV/GgD999jutdXHlXiwHdw3Ty3z3FtM7JNaXrX3xiMSTyFP96D59Wys27FqC4z1PPqDLOwZgZYW5ecXM/w9RqV6pv1FOYVkpaA9IV047a/4ASbsCQLCE7A3KZvIUwXSQw2sMa+y8lPMXSY/EoLr2HNwNWH2XvB3L/XMeqMN9ZUOoNsSbgKs3Z6bJT3RCjGJvs0QVH4pWxI4xnRVUiMWUZP+ckLZOqpTRCKUWZR9mpHJxqt7ArWNUKuUUOgM8hcwNknlPUSsYbmIR+oew+/T3LlJWHB4m4kKWgLeeGNdwoCR8AtKnq0aOa7wc5Awx5Ck9omqVFsqGprUfTpGapQhqQfOE6WpZYeDwJemOMwjyD48J1LW58zppbRs4wVBuV/6tfKsNUzyRaDu5A6N6KFmL9gUN3qa6r0PNNak1ebpYYDvGg3a4GpzT+6Q7SpFXtlTnb9pCXY3pvRLeLO+3enGBSE1VzU4HSyVFgTJkOrtb8RH+mBiKHO77RuZuW6i6HCqhShWKEaoWAoWJCBPhCNxYLlfebEmFwd2EQzqK1Pb3Yw3/rIm7TBJDwByh7OAWgea7hUu/i2/eiWmLcxc/LZpzll4TqUKj0CtTtDoCo1Bs0idR3XAPLRymMXBL6i3zP9OU3EyTUZS4a8RZqgNlC0MCRTDn9VotTsfGszVU8XdhM5aXvozJeDIOjoIrqTKit/0JG4xiGHMdxHMedxivhWWQOTl/og8R/K4aiDEtKIFb+3oCLCoiDRZc+q0U8MYQuQZDP7V5a4s/bg1jYXXWikNtBq9ChZXCmyi+UwKPyeJHgyz8gSPIwV0Bo0ATWTPC3g4B09oaxu4kraU0AimRt2aGZcQv7m0bc/eFQicBz7n2Ix+KihVrnI1QFv2QgUTZb399hy7H0snxsQUnsxO08pszNaSHq8Xn1BAPDuWIJBBtgGP2Fzksp/ithiAHMI8UedJcJhn49IZyt0j4J3WW8vsN9wmkK1969eInfPDnH7eH2LJ6FHRiLJ7r/KnXhbqoGdhM/v2hWWKSQI8s0ALeAVUUyO7e52yetkO6CCYvn8XvjnezHDkCfTjEUCWryAHW67xymcqPbMM3D1zJROiYGsjIha52+K7X1qFOWd2FH7FI8E5h+15myfiiDofwVIb/8FD7FbwF8Ok9RaoXkF76iaQbK0rZ0g5B8tbfdFTYpwfD7Tx/hO/vYiPThyaUgJSlYlRK0LC8uE/SNs4zQpO+boN1joUDSZSbwvbJ1uz2LS2kHhslNRteVEK+CGHRIuRRHigwkfZCq504y8aFTA3H2TeDwIB7r9P0Bmy8lvY9NENeVrZbnpsGiPY9PLTNh/XpEcPYX5/AJtbl8SuiTvih51QiRkq5XA1GGbRFVKaemJekATInrg50SHPuWVC09WNg+PeCVweFeWkAWjDdP4jl+efUcX1t8Oe7IsBjsbCiAWLptX2pVBaLZ6nDyfvx641vNT1xr/JrnqBR9Gk9Y5CftYS57aARQxmgS54Wv9frYQUBk5AmuVuPp8jNDt8quRYVcDAoRfKO5oCxF6aoy9PDSSNbYSYyFo5Deo2MYchzHcRw/5PFKeBZ5GApFmhKzjtLse41FOvh2N2rOANdF/biiwu1mVSS7NB4+gR5+fPEYh2Rx2/WAPiUJvSegUZeOUh2bBwNOWAiqAjhZcbucwGllCIMF9inJmjsc95QlHGAmDUNcrySsq48txlWu5Qc5znhiRXuj9B3dhuDvpeNvrXg5q8cew1lqP//2S7CLnpPpA/Jt709JVvawq3D5IGbprvcLvHka+0c+WJ8LES+xErWEBeHwIH3O4C+TkryIt8jlldECObPLBJU3MJD5AnTlDQ0wDPl7A0quCFsl/vUt0CdSmoUdYV6PXlHbjECCZNtRKxoA0Ep4EESfY/POGmffTiQ3p5WAuMCkfSx54bdAf5nO9SLAPIrxiZnUW1p9N4h6WLXzUgUaTg3GveImcrKTDKPP/J1TAdwqEvMI+gwzFUC2WnlZKQCuTd3BzqNK3kRZAXHkhTWrMl6Uyu46XiljAWDWSPZZoces2axAc5bDs8EmxLvR8Y18XxPD5tZnqHE5tztx1epqgp/Sy7oGXCZB7R1MehF8b2AaNUiU+wxsmPFw5JGRnFyRdH4PZ4QqnRoFCGPV+qOAMQF2Nu8RQHF/h4cBQ6o6NC+UwDUaHQ196pfJTW88XCLa9edLZeKujehUjGurjW+rET7xITw83YgYzbhmyZV0TMIk3l9olUfKvoa1iYu0GsQVz3hEiLUSILfVsOQyyv6c7sKIUR3WRtx3Nowxne9mavEjD58BAHZjjRf3z9K8W6w//jTwiA1hWsaTq68ZtovbVLtKqx0d4/atHE4oVsIAYCKprpgBQrG3fDJI5cf2HsElXomRpSemRF7Gvo9sYBXQRX7ea1TmwoQomLU8HSpGnXIVzgQxEo7CjBUuG5Ex2E/BEz5vHMOQ4ziO47jTeCU8ixKUlbtLfyebl8OTQOaWlxEvZxfqGcS7glZMxrSCl53SZbt67Tx4Ef/qa4M28TBuqRVS30NnpacCiG4fEKsROVRBgHayppVj8gyTk2WBgJQgjKtY/Lx8NAqpzOG1Cs2L+H33gDFeJD5JY2XVWTwhLB7rity+SNd9YbB8Ejfaf2kp6t85QQkA3WssYcPp6QGrWlm2MpAnLANCTkIaI17BeKKJxByGwDC40uvPICgQlP7fAAU0pJBqLKoOpBokvoYkNYMjqTCxYWy7+IPfvH4NXzmPHNFfv34d3YO408MbjMWztPoX6urB6BysHnmMibd08SxgWBcVmXvJQ0jVihJA1TzXFnzywPJZok3ovGBEQmUkpIwShLpvgWwHAMvSG0teRl14jIwZb+ds5KjJQVTWnFVZTwDCuxlutajf5qD+vHH0LI7jOI7jTuOV8CzACvPOS2ZLEzapDleZaZbgXKfCdInaLFm/o4cRTXHHVryMkQOq3HjDmhO58ssZcU6bKeErwKfVKHsPAEBO69NELB4HAOlepc4KzDsIVJclTzKuWFZPMxlxpWyvy+69X5+E96B9YTCcJvbmFhhTbDu1s2ZCKe2RL9B9Be3b1BZx7hsdQsrPEDEamyjjmLAfU1LRaXYt1IQhYwUqThgTqBvoWJuZfLFs8bx0iuyJMDCt884xr+JlFa0JRalXS4hcK0X/pm/wre19OfdceqbW4/q99AxtDVaPM1xfxaFnnZ0LRVyWns6QxJIIigKttsDJR0k7NXCxwhvp3gUgnkVJfMRUXIcp0Jy3zkemwipgmI3iVHyNAvfBmNK9tIu5X55zFqHAKxmKjWW/58hvylEqp4ciwZldKQPGPr195laCMxQGJeMsRrbwUlVRmcORgS49wZ+M51INIWKBW1sTZoLMLhmFxbqXB3W1GHBILd+mCjAJNj6OrVQmtJOQYbKxWAeVLPSmqNNbefkXzyahxF887sW97S6ctCyPa012+jb+G4gEM7lng42+rEyKbQh7Jy/36C1u+vhiTcFg19f6gxwa1pr0C4ug1PrZMLigFSNDtwxG8TkbFGLlqAQwpWRuCTxyB1IjYhSeDoJQ3+9sje/6WCbpRyfgMmwqmftpCRwSXL5qrcCqfUXaC9SQJHxDpS9uxju0zwknH6RwYwKal0kdbfDYfWmRtrXY30+9GB1rD4hTLIYZFd4f50avT76yt/Ad2dAYvaqtFQAAIABJREFUXWT8AiqfcCsZm2HdQ7BYpBJcGZpYYgxHYeTjOI7j+H9ivHKexWeNssQzsp17H0WXqrpYc1TaKB4HkM34hh18spWP+jNcjUkImAlTasDygaScyKwchyeLHluKPmrlPEavZt2n7J1ZjQg2y5NpMiu77pE5PK3qJ+odHB5SAe3V/S6eKcnM6ru9uLrjiQr/9KcGLpXnYuSWEl4da6fnwJowrFVhbGsX6Pt4vhwM/JBX+YJ4jQoIe+thkzCTL0KZPBgFwOU2SJDU46ICrSp3ORAyi3d0vopEXwb1EmHcJ08Lc9Ww+pMkPhSAJoktm6FIEjJEtzbyZGriUbgwOgj6Mh++fTHBDun+EQT6bg2hP81JZideXH9Ogh0xU+SiyL8NBSVfHr4t2bqLRraJNNQjmnmqOaHMVUCdyvyWNNydgoqHj8XBsmAy3743v8N45YyF1yBslkeQvxcX3IdKXKvb25Z8g9L+DmCfJnETarzwEaf8bFjhZoi+6DBZjOmFnz38TFK7PgwV1m0EH1zvFkLBXtcTdsk1tpWHyUQ0OQt/cOCc++itvER+ESRTP5xpfd2MhcxAXWkF5IWX76utqow31x7VVTwv8gFmk+DbdQVKYsHj5RKcDN1waiX3gclgvMksLNBaflCgENcsmJLFSSfZdy5CDHlpAcmHAAQU/QqUwgSyQebI2IBQ6TZTwieE3ghhrhmU15QC4JNkYZgIIbexk1Ya3AFYPs1hA8NtUxWtMjPq/kxEU+1U3sB2AVVi6/JJ/mAmXAygu7Tyuxz+gbQLN1RF+FAAt7igQSgR11wF8PTp0BGT2ldG0RtSRhFqQ+CZpOrhg8E6ERZ9L+Hxu44fKAwhon+XiL5GRP+IiP4qEbVE9B4R/V0i+iYR/bWkKXIcx3Ecv8fH9+1ZENFbAP40gJ9i5gMR/XUAfwLAHwPwnzLzLxDRfwng5wD8F3fZpy+bxG4lX0o8RTmyi1XycVoEWOT9GFhk6QBgk7JGHVf4cLgHAHh6WIvbdugqUXaqKh8h34h0deLaeYMheR9D76Qa0jNFmDcQKzxplRVMRpHMK3kwAM2O+1Yp/McTSJMYoPR9wVlZseqtCheZiRGquGSRBxqTKeIIGTo6rZxUWEJVoARHgunT9jUrN8JQ0AauNPR4cLITlGcegUmEmXdocv9c/G2R7DTJg7A2YNlGsIKzQTy52no8RkxYhgXBy3pjJJSgSQlneLAFCpIVft6RyBW4jgV67Wv12MzEUX4BmAlcszXoz8t2U8Skakosm1Eh2+PSSOXEHTDnQ8kJYSrwKAzFqFig2mXP00jSu3xW2LCUQyhAu0sHQsjNhc6gT14tA2gSlZ41ymFRgcTjtuSxn6rf1WqIA7AgohHAEsAnAP5ZAP9a+vtfBvAf4HOMhSiSgWfkN+XIuYnGjDMi32wgoppZYsoyo4QlLY0z0NWQnKkrv8KzKYYh3eTUEPROXu4hOLmp1k7oUtWDGej77CZbIFP6d1ZIU4MnmNQGHep5qzqAWN7Lp8WaKQdrf8W4gsSkU6/SiGYklREoGKuqHUks7nrGtMzy7eqy+powJDBY6ca6jZVeCL+EhiGe5BxM47FYxjDntOnErc1Q+SE43CSglDEsLjUA6eSFZeEYBWLlBYi5nwwKW7gRnHowutHhRSLX9VMFt9WXNYckIAhhLhMVpEMxbwAAfANMbXqZTMl7qTkLQLtwq52yeFnRdNH7VO1UZnJaRtg4EO9HBqO5rVZypgVrdaMIPYgByt3Hnd6QQJorYluA18r1ZoT2r7CR6lAIhCmFyZX1ypRV5PWqLwj1Bn6AMISZPwbwFwB8gGgkrgH8PQBXzJxTSR8BeOv7PcZxHMdxvDrjBwlDLgD8LID3AFwB+BsA/ugX+P2fAvCnAODsjcWn/l6RFw/CgsVftrNasRdLWTabWQTBWdQIBSgFWKXvdwXPf2UCeq8hQyYPGTudnhBIKh0ciuTdaAQwg8Go99CTuMkZqGUG9S6mta46oWZxgc1A0ozlDoSx6OKUZrBG6+sxlNAMugoTK1iLDaQ5jd2c2EXm4EarFyVvA1uIMDIbRpMStIepwkkVE6j7Kc7ldd/i+iZmTH1nYW50/mzGRzDgU5IwGGBK1HidrQWgNdQWF20klngWVqjahF3pLWzmGvGQDlG2NFPvKgFgQmVXEA/FOc8fNFSgstoCiMemynEFZ2gosCA7DWF8m46VzyM7P1wolRn1ikLFwqHBjsSrhHIqxYqF5v3lfAjqjZgB6LKchZ/zbganVHpV8poDvjit3g8ShvwRAN9m5qcAQET/PYB/AsA5EbnkXXwJwMef9WNm/osA/iIAvP3VM16aASPbz+wiBeZGojQQZRVkmXyypekljFmaSUh+A+bul2xfDegTSqZZjPCpdEqWVXk7kCin82hUo8ExkF4E0xuEdUL1HcwstACiGLL6cka6UcGEkFGHTPCZnp8K48PKlDWuVdg3NPpiuz1m+YtcLqWgL1D+Lh4LMGmf5NUY+ULHZDhVJXdnAxZVfJuuuxZvLFNL+xDn7jBU8InHkzojCmo0FShThqiPs1UEJ5uAQwKCDZPDvcVezrPOQLe6UrYwUi7PWCrQ6yorDaXRy+GJGedGAVKq1h4d8kUFokReFrXGTPpT7XQfU4s5UU3+v1dAGVN5fJWftB0QTvWH8nwENSIUgLKpYxae5OeTjeSTrAkz6IGBGosvWh35QaohHwD4w0S0JCJCFEP+dQC/DOBfTtv8mwD+hx/gGMdxHMfxiozv27Ng5r9LRP8dgL+PWFb/PxE9hf8RwC8Q0X+Yvvuv7rpPX6iHeZCICZXeQ0xkRhvXhQrLQnS0pegp1OSxTEumBQutngWEV+Hc7oXzwpmAKvf/Fz0gk1HPwnslfqGDYiSYIEtQWHlQpV2ROYTInZp9MFp9oAKqa9TvD65QLVsHyaCb3iBkeHjQEAZBaTrnWqskIYlvIe4zBd1/tVFXu+RPIC4U0taEsEghXT2hcWmVD0ZgxJlQ5d5qj/5efKT2T1fSrVkCotxeQ6VpzVJdsc7jbBX9cWsC2rTvYbKCUyEXdEUOc21V9xmhhB20elFCr9lqUvh2ni8Ty8Tt0qFSH8kMgl0IQwUHgVsXeXY5zzgHqvcaavX0aCr2UxWyES0Lx2ncMJ8U4TMExuKyn7ex2rIQWIGLoWih8Kyf7zp+oGoIM/85AH/u1tffAvCHvtB+8OlS6Vh01IxsBYxVkZfZ/V4hS0UTTikaCwPtjvYANskAWQp4mZhG+rIaMllMY85NkJRF2QBTzj1MRYWgM1rtWE9S/qsWHpwe1Ly/0eo1Ua9OXbWlzHETLy0xKk0rhu0y2hLC8mU7End8/pKrvkQpf1cqhXFRgq13LK657dV41dfKMGV7EkNGxBLeresB63QSF20MGV5rNpLH+If9W/BNQcCciHjqbcAuvdm+ZZwmUeLX1lssXTT2L/slVk5JBLLcIndW4/XAcH1GUyoClo3mD+ptAKWQ0nie5Qzy3NiBpVGtlKI0U9Q7ifuP3/lGQx/fqOgyBdVxsb3mMuxQGBynRow4hivxvKALj9W8xhwZB+0jYt0/JojgdTQWGezGAiBs7DSj/8/sWFOwv6thyHEcx3H8/2i8GnBvTsnKguGjpNUbg9NqSOE3lrR6lua/zWNMrOFA7A0p29j3aRme2AifozGsnoUnBKv2lBJ7NlcsjN00EqjSJGR2/4xh4eYU1O4CwjnJgGbZ904ZyDeaWBvOCDZlyvv7DJOhzkUyMsKx42czabY+1BDB3e+1JISi5bskWDGTAr3qK5I+lG27xIdppb5YHfAiYcUf708AAPfrHX7fyWMAwG82r2FIHZz9PY5t+AAQDLqH6YRPR/HEzptMbw4M3uLxIe5zs13Ab1I4+tKi2iWPzjOsiBKRXCQbFO3n80TgjMLP6D0rCXhEpmBUMSYJa/pC3qAIX0IFVEksiZ2qr1FQD8aFgmO0ArjS3Yg3MxZhUSjCH8OabDUsdPVl0hYAKHm4rvKSiHYmSMXDEEuCf4D7wp7FK2EsGDRDbwKJn0IMQbjdgQsghiTZEFQ0CTrNgwR8tYS+Kx6EOt3lJ9Mp+nQnA5Nkj6fJKJiIgZAAQexJqe2bgOpaM/rZcHBnxd0fK40IpeW9CtKgxVUQmv+ZCC/rC2x7/b66oSI0UPfWDqzAn1YBSaWKVSgeqkhVr8fS46qb7g5BHng7MOokBrzdN5iW0cB+90stXibZv9fPIjHns2GFr64+AgC09Yj9vXig9qxHv4mlg/4CsJcxfHGVx6rWssTXnz4EAHR9he9uIirLXjusH6UQdMNYPE9EtAcvpLvsDHJHVKgMbKIG8BVJ74tvNQ9TzhlIcx9sSdjFhhWhSUArESgmiGTDtAI4V49qNUxury85+YKzZAD6yzSnfYGKbRhmo4uA3NcJGE+zYSxKqtAcFRfVYF8zXJUqcYaxcDqv2SgYsOQpSnWyu45jGHIcx3EcdxqvhGfxvYaEE7dS1uX3Aus2owCxLFg8iPhv/Z2GIXNMR3aHiWLWHQB4MhI2mI2TurfZm5mZFcFitrKNn2rRwpRVzLK2qxct6n7JutIY0ow/QzAO9jCnfVcylKIyQqo8FjEB8Wu/KJJ0RdjCvWbUy96JajPBDGkF3xLaxAPa3KjPe/28gW+i//ytH4sexifnp3i9jZTlh76W/gZjAvqVroy5lZqIsU3Yiq8fHmL7fsRs00i49xtpmkZg9Si6PGYIqK66PNkIKYEaALjkWUyACBD7WsmAgot9JgDgh6KSMBLqTQLhLQn1daawsqrilu5HDiOAiInIJEJgDU98W4C8PEnPipmogHvrXFCYQ/3zfTJFty/mMBKF6RcALS49D8NwmaeWDerEgNbYSSpXMBFKX3YMf954JYwFQbPsucyzD04UyUrVsaZUKSte9pZGnJpOPufYrAJnvEysjKTvR7YShmTOCiB6swLEYkiIYQbClGjgqxsjVYeI80/Z9yt9OGxHGIsXBEhcEGIUWAzOeOqlicuvAkynJdJsUKoNzUpyZUd+Ftb1Fc36D3LG3de6/bTU3ER9Aw03eoZJXA1uNwKppd3sB9AmVjuqZQsa4vwvHp3DL+LBHnFq77+o8A/OIrp/Gq0gL5kJ/iIddCJpbQdiTgIA/PMGZ99M7eEHxmv/x6M4ZydL2KdXadJYzgtNDVolDpJqAUwaSmTglPGKbiWvlaJQUyY3meUeqn0QA1ttAw73ncwNEA1OKcGQW9vLMa61kS2GlDmHxFI6Ja/ylxS0CmVQgMi4yLFY/Z6CLgL53/EkIRU9w6mvCVrWBhDFkpPhcLcW4LuMYxhyHMdxHHcar4RnkbtOKyi5zcgWbVIM2/hWdU8Lg3ibgzOHGIaUCt2ShiGBgIrjDk5MJziBMRhxx6bRaTt1oBmPZF79i+JMVKPKWIUuutBArMeXXYQAMK4VAl6uKBQnIY6epAuRgtLX217dYTOyCNlQUDUzMiyu67TSfZJXqHjJ/cgO8CKIE6SNHVPQPpGbHbhLS+JujzDllYlgU6Vo/WZMTB46gw+fRgXkMBksVgnrYhgX92MS9PpmKcRB/eiwu44ZyPrGYPEspM8eeB69CbvdI2ySFJsv3ClrYRApBnDaCgTatwZd1mMtKgqGWUOPclE12nVa8pZWGy9eYE6AjksSr4ztPDrOnoIZAUIRChaVlqpIZOa+Ft9olnL2TEy3KlU5We2KMLKAYiBoMh4Fe5txjC5RdLV2hCncmFgluXtF5BUxFtFIlC3n5dj6Rvo4uqJW1Jpxdt9zLiOiNpP7DoHtY0mEMd3hlelx6uJLYIilGuILBit4fVnZFC9l8cy6HWFcJ7d3vP1wIH2fUZJqPCJ4KJ13Ad4hrw8JO33J3V6BUmw19Cj7H6Zloe5eqXFxWaUbcVuhmis4GeJvEoBp1wG5ZBwCYBKI6uULkE1NYM9egNI2Jx9Eyu96W2H7bgxJuA1wp7F0cLnaC0iImaQVfds1aB8nd3kPLJ4kBO7zPTgZpbDdgQsjYep0/70HpsRTMnrQlMKmoVby457Ru/ziFqUD0uqFveYZ9Z08T0WVpEoMW92FkTntV/OwUJr2JgKVgLkc7dhYzQHid05CEg1HfUXgjDINGi4yFyVdp89haGKlBEjhjtG8W6561GaSkCQU1JBfVLoQOIYhx3Ecx3HH8Up4FgQFW+X/N7O2QAhg63pc4DLhbP0tINdtyHjcH0kN3oLQCEAl4MzFxF1tC1dhIqWSLzy0UM2BULL/HkVIoCCccVlwvJC6n1l/dDxVchOaUMC3WVaveqsnwKTex7TQRGbUjNaMP2UvY8GocheiYpbQvIQk2uygOqY0cVSRBhBOWtmR8QG0ifNtFi14yKWBEZw+Vs9imGD3NVYfxYrGuDbYnUUvY1GP4k0EJnGR95sGJy/TtW4Y9ZN0nO0evktcopUDj/G35Byozaw1BryIn2lQl6B53sO38bhmYiyepfloVBEMBIziUZGs+OOSBPQ1rq2EBBmUVnqURYtSBHbl76eYOAZyglPvoVPcmTxbdtTEqx1ZzjHU821Lr/Z2N2z8zHLviVjg8oEJdXpHWjupYDKFROuAO49XxFiwlEDz/8sy59r2EmIszTADbynTt0GXZ9iqm+U5aDWECGP66anpsEnVk5O6x2bIvGgMyqJB3krOoiSuBRWUbkYfguD0RpZNPqLT4fTF9gXybjzRh6HeEEK+poqEpSm4wkAURixyOUDOpdTbUBCSGrFqyxLC2JFRbVP4tTDKheEZY6KUq/cDkMhwab2Saoi/uoJJpVO6ivGWGRc4/SCxj10YvEz7eDIavPPmcwCRtjDTv+Gqlpez2jHMNhpv3mzBUzwOFQhakAFSGERVhelePJZvnZR6uwcNFk/ji9KfV1g+ivsZTx36k9KR1vKqGPgVgTKbu9Ech1DpTZBKS7UreEGoyDWUKYCgvR4UYrUFSCFQLpGODM4JCdZFgw0KcaoiTC3Kq8TQ0mkTpMrUVNOM6T6HgAs7FvSUjIkN6AvkLI5hyHEcx3HcabwangXhM5ObGV+xNIOokJ25PfYJTH9iNXNXqpB5EHrZ1y1AV7LKLY144KK/eK/Ziav2QXWZJSsQoCEHTQqWKjPhpdUHF64paSei0Pk3DD4pvssVlVLazpLI2ZVw4VKlC5i3TefFoVB5hDtA+kqaawVcuZ4xiFgvMC1T9WlBCnt2RT/MvgNSspG3O/2+rkGLhHM4jSs8V04wCWYA6qvEfEUVHi3jhY9XrZxvtS/m1ADhNLpgBoDZJfIbayXBSpWTiggHRkgU98SM/jI+E4d7tiDgVY/NDIz2KidEGX4Tt5kave7DfSPzFyqVTczDDgVUPjCqrf5tOFVPMxQYnCmHc5MSMVPRXs+kOA5iBX7ZQftXiAAkzAyTekJMgM9YHlJ6hcp9NgPWxAaL5C59PwnOV8NYpDBk41vJWZSGw4ClCnLfbbBNM1fRJEJBXagkhBlZezQANRcjB+GzuLR73IS4n9eajWzbLgdhyuprF0MRAHDKEUCTIvZMDyHPJV+Aapz6i1lQJjTak8AW0hgWit4QM2opNtQEt8slNjVQ40lRzh30t+4AUUvXVucogyg9K0sjD9vgCDY//B6CZDSbDtWYEICPngCVViByzoDaBnQWaZ2ms0W6PofuXOvBuZ17PAX6F3Gb6krvq9sqgMrXhP71aHTqpoLNrnk/zEqmIRssa2G7aMTMrse4PpP5y7od7gD051pGleubGPXjVDY/qeAOqRy8dwrEGnQ/WdwJ0DABHPMscl6Zo2Olhj+4Ih8xKL+ImQpDU5Y/WY2Ir0nCoFDrNlxpTwqIRSKTeoMmiwyZIFWP1k6zfpBSRb337gtxWhzDkOM4juO403glPAtGDB1Kb6JsRY8hRjSn+9AUbFqmUF+f79N+RuLGFmbcFhBzCwVxEWnvwtB6bSkPACfX322NangUVZLIpJTOrS29iORy1ixQbtuTKmftilbmAxBEG2N+DZIFJ02gVlvFXzQbFnm9/lTnsj9X7EgJAlo9nsRlb15OqJ9H159utqAkY8AnJ6AmKap3HWgdYytuaoyX8fNwnv3uwitywOwWpJO//ZUvpDmGdM5sWlSVJv2y8j2sAefwhAywTWHo5LH4MCVZ+xXG04I4KSUhhzUhpOSo682M4Nckz6LdTxB/HwBeS7iTArtSnnt9rQnLqckhHIk34ZsyvNQQOFRF/w/Umwi2AGixerJFwQ9UyFIyaU8ILzT0mLwVIBaAzwxJVq7H834lHshdxithLJA0S8tWcc/mU+VUIBqVjObsQyUlVgtFc47sZsZCmbKUYs8wo0p1ksp4oYirrBc5QgBAk5lrS4JdI6GFG3Wy5waicF8z+GqnIjnVRqsV9bXyR8yahor7yI4wtvp9JtotEaRgpazzBQO4mWield+lHpC9F4NUvewE2ASjLd+4fy4vGXU1/EUMFaZVpZwQ6fqmhZH4my1p+Y9JmupCzZKTYaPnCKj+KNjAt2pFzHQp+7SbpXw2W20qwz5OSPMIcPvit/fyZyMlbl8B/l6iPxiAOtMNAGifRGMU2gpn39LrinNKys5lCt4Kz6gOmo/o7mmVRK5twQXAD7Nyuh/ydRblWafPjxmo0AdR9nfjSUJZ3xCur+PcrE8PUgExxMJAtrADNlMO4f0XptU7hiHHcRzHcafxSngWOQxpzCSeQil6DKh3UZL3zvtCjPSVdFxJZaRjfCZhbwApn6TtsLdxGWzrUdt2GdqBWkC/gQKKa4raelENidY/ryQK955lxNPC6A5zuLdcU6Neg2+K5Bog+ItyTAsjhLNTQedfvwyy/+alR7VJ3thhhElt3uNlC5uEgE2tj8Vwr419IwDswWFaJyW2SkOxHMqMCyOraXDqNbBluNSBOi0NeMiJYiOqXjRplywAITkmH72YOAcGVQag1Rauid+b/QC/qtPvANPnuAFoH6fnZlsJuAohqs8DqSIk10Swh6Ra5khFkrO3NKuuBOnSDZWS2ZT4GjNCWgHYxpabuG9NfsfnSBOfswpMAe+XefFFtcVr8hwTAYd4HZvJ4MPM0mYD3j6NyLcH9VY8aJOU1n835Qt/qOPEdgIaGeEEnVmS95ajbF0PbDCmlrGOKywR36wAbSTzrGFIjIXjnV2aAWcJWfVwucVhipP+zJ0Iz4WfVAsUVAC0oPkGuXFIeYochSQD4fZUPGyQFztUBWhqxwW9nbZBux2DczZ9gO7bq1EKlVZB3I6FJLd9OcmD3z7rIuIRAJiRI67t2wssnsbP41kNm1iofGthE5JtWtfwdS5Lanydy7slzVuoCFN+URpGlfJAfmHA6bHzLcv12V6rPZ5Jzt141r4PQ6KoHkFqKTy4XIpwkRkD3DZ33AGmS4Zx08Gmqo3d9Bgvl+ncVVEdjuBTyGG7IPcnV2zqDUvlhMYg94CC1SpGA+njYJrnOSR3VSIEbtl8aUocVPclVNCQxkCYwdljFhtwrTvLWrz96PDExbL1xFYgAq+1wGnVfUom9HcanxuGENFfIqInRPSPiu8uiehvEdFvpf9fpO+JiP6zpKD+a0T0B+98JsdxHMfxSo+7eBb/NYD/HMBfKb77swB+iZn/PBH92fTvPwPgXwDw4+m/n0EURP6ZzzsAM2EMDtaMM42DzxqlTOHtFvVscj2bmdeRP5V9Ikvy6JLOyD27le3Xlfr6RAyTpQB6TU4WaooIlVYjQsMzSLhgJ1ISynYavmTXFoirSA5xzISCSYlmfSgCGCn2zSYCrQDAboKQ2DZXJN4BGOJZ9JcNXJJlNL2XJGUZ1tAUpFrQPO9hEuZiOqkLb0hxA3kwqSc0LZWmnluPNnFtMhMEquArJevxgMlkw5WCyNgoSIyCehkWMYwCAK4shrMq7YcxnmhjhWmyfEOQhCE7A7uN994eSJKN1hn1CiqDalt4Eel3pvAsTJf6L9oaVfJs6g1EeHpakALzjFZ+uGJJWLKhGSZGSYVJPRcPcP6tjXybQPx/9SB6xBwIJ+usu8JYJsLeMRjReuknh00CBW2GFr130qdzl/G5xoKZf4WIvnzr658F8M+kz38ZwP+OaCx+FsBfYWYG8HeI6JyI3mDmT37HYyCVRzGJsFA5QuyWAoAZkW9bMHqXTWQjWwxpGw/ttYhMWXE/G1am46XpRZRoYUcMKdg2NkhRoMTk26LsxaVb6Fgtk2Nh2bJD/r/GvLEBLZ3vSl882ys1nh0Ad8gvDUlMbwdtNqt2BTpz76VHApbEuIRakYn9uUPYx3/UVygazEaJwWn08ClP4G46+JMExJoYJgGkxpNGzrlEPWZJv1ADvEovVhVgU95mvegltBurgGGfwFob5YoA0WzfKinIYrgwekkCECAvthmDhGvDaQWTwqZpYaSsTB4SqpjBw+4SbR8zuMpwW4ZPjXA5BxIqK1R+dhy0RX7fo75ObeC1RZOAZ7YrtEcMMJxnS1CA94oQdFzf4ssocmFzBvL02fKMovDhOiK9auNl0Vu5Hk+7eFNaO+F5l8rdwcbK4xcoiHy/1ZCHhQF4BOBh+vwWgA+L7Y4q6sdxHP8fGT9wgpOZmegzUB+fM0oV9dM3FokTs5KwYk7zr2rpt6UMrTKWyjYDR5gVAHTJYwGAEYyioIGq6BvJsPHGTNre65VBq1SOAtMM0ps5F2GVeBeWtTJQqeue+05GS7Cdfu+LlmTtFg0KI14YYVeK6lZFMlUSrATORDWt1RWItGJhJp6DvdIUuP0oK3VYqnfHzsC3+phwJr+xGiJlfESoCcNpdsUAkzAq7A1udmmVNowx6bIYEzCd5myuFfUw12koVlYauDaYUohhOi9wb7YEd12UirK3NARs31V2nz6BtcYTwslHWoXJAs5m8DD7IR3LgZIXk/9vAExtuv6FQ/8wMnWZMaBKxzeHCfU6z5fB4kmaowWJxxjnNf2/aHWfqY2hDEk0cR35np/IAAAgAElEQVSCEhIHS6o8Vk2oUymmLlrRAxvcayJ2pDETmoKD88Pd+RfqOv1+jcXjHF4Q0RsA0pTgYwBvF9vdSUX9S1854xPbwbMRRqySz+J2YJLzC32Rv4hhTJygF34t2w5ssUohRjRAcfun/hRt4q+78ks8G2PGOIAUoFVPIjg0rYKWPX0E2cQLmbMzy5hI0Jpm0FJsNhDVrhSXUXGg7tJIbE1BafjKmBeEWSNbjsbGEyv78Q1JfsF1asTcLmgsHgrjxkWNmVmqHnTeYjzJxLWhQK7qg59dbd9AZB3JEzi9/Lhx8M/jXZyKNnpfqxscWsZ4UqAgG30hMoMXMeT6eOEK8BrBbro0H1byGq7rUF8n9KkljCmvECpg81Z+W4EsXO4OHjZLLnLRyJXRr62TeQGKfpClg8mG1ho0L7LhalCnHpBxaTCmFnkzQoxqLH/GbWK+Kt8PzHMWhUERCj8Au0NWnrfCyxKY8E4iCjF2FATnyKpPa8C43+5E4/cu4/sNQ34RUSEdmCul/yKAfyNVRf4wgOvPy1ccx3Ecx++N8bmeBRH9VcRk5n0i+ghRCPnPA/jrRPRzAL4D4F9Jm/9PAP4YgG8C2AP4k3c5CSJGY8ZZcjOwkaRlYDOremTZwT44sZoHXwu1/8thgXtN7E58u32Js9SrXdEk238ynMs+P+7O8ck+ri/32x2uhui6LpoBQxIzHptapAzNqBoeZlSoNhfYCxqMeCJ5cDHbvtXVYlzp/gIDOVYyXqsLVHAyAoptCJV6EMOJMj2VEoRu50XEt74eYFIlwJ804k34Ar7tG9XMKA6J4cRKFcfXJJ5OTmqyUUwJAmAfx/vk9gVcuUjQBWdU2Bf6/bTgGc1+TlgGA1CV8RQMCkXIJeEfwd6kg1mWcGbxyQ6+jd6j60k8lP6CcEjQ73pHWCQQ13BWo9qlMCclje12gLvOQBmDIbXmU2AJ5/zSwKdeGjsEgYqbibH8bsZtRMKjfM25izTUWiUzoyY+7Qh0Wfqw6LnxNQuGiAg4jPEhOl8c8K3rGCKN3uA0ESQ/XG6wSvFMAKEy/ocbhjDzv/o9/vTPfca2DODfufPR5XckhsIXQVt+mb/bn8t3T7q1vPD3Cx6Km6nBfoo36aPNOa7TC//J4UwMx8oOuJf8wo8OF3ijvQYAHHwl+/x4d4YhlZPaalI0p2MwF0i+jAStNTdBRVMO+SKvkVxz7wk2AW3GRhm2So3LWcw6AfVNDkmUaWn/wMy0OjP569Sq5J7rgrir9fUgYCYEDTeIGSahMw8PF/JisSEBBJXXMa60P6a7R7Nmurgx4Da59FggVPfF9RX2k11UkAeA4VyJaH0NHB5oKbna6qS4rijxCqsVMJ7Gk7BdwPhGBFxVu0mb75zB8uN0QoZweC1aumqv1ZapIXQPEhI0MNxVZktOx2ksKJWm2ZIQ+TJBQGFx/2leMAeuyTPjgPqlhjjCFD8WgK7As7K55G2sCk+FRcCiTv1N1sOnRWYKRrRwRm/xYhfno5scWqeCQ7X1X0jC8NgbchzHcRx3Gq8E3DsLI7dmxCaxytxMLaa0pH396qEIvT7dreFSIufDzbmATxqr2eCTpsdZHZft19sN3myiBsWl2+LcxszwP774EK+7+P0vm5/Ca1VkzfrfXvw+3AzxHPZjjcyxamovlRS/pJmeSP4D2yCgrLLHo/T0xGUvQVujJq0WTzXpZ3sWbwIB2r3aG1FoH9eEkI7VXDNcl5J724IwprGYknoYBQfKpReG4DJil2zavtbM/UQm9nwghjndZcYw6HWVyt+Z1CU0sZtW5kJW+OI4DqDkwdRXJLIEbtIEMru53oYQ/XRQ7krS/ZtBk6/9RRHWVgupAhFHica4fyMhXbVh+NznsjTgar6W2udbcAoxCAFT8iaq7QTymTHYwO1zlcagW+hc50W8u0cSkpohel4A0FwF8ZyCJQF3BVdUT8qKG0GImgDgwUmc/HvtTjziVQ3p5AYgIKyOKzzZrsWLvst4JYzFyBaPhlNMbGfNYzl3cLVf4MZEt/Hl8xMsT6M7eX+9w4NFnKC3Fy9xPz2pJanv29VzkTUsgVubsJAy7Dv1M4zpbhiwGJ0DMbohPnBVM2HI1oIsso4nCBBxHgMRKYl9EunhLCTshD2rZmCbXxR1wZubIA91BhEBQP1sD7+OczCsrZDuhiI7X+1LTQkjaM7dG41UWHxD8kC6Q5Dmqqk1qJPhCI7g0wvna8LhfvrcahbfeK3yZFEkMxZhQqcGMOryyWnOkbCcwyySl2ZaxtJyPBkWA2X83Ahnw2w8q8RgY2Yo03wd49JIuTk4zfNU+yDsYhQUjVtvAkIysLm13XS1VFpo26E+1c63HD7YzsNdp+dtVcOk58dYoL/QsGk4SyjkkeQ6+nMD90kKK3ZhZgyHszwfBCryPD4zuLORMuqj3Sl+8jwWKEc2OHVJtd54vL+NuYyJDTZ9SSH++eMYhhzHcRzHncYr4VkEJuymBs/71YzmP+MpXltvca9N6fzLpzhPIca77fMZLqNOS9lHw6VUTL5cP8UuyTx5NnjNRkalH6mv8Z0pVkDO7R7f7F8HADzt1tinrPK2axCysC5B29VXE7joQJ0hvdKYta4XQysaJC3ndcF2ld1jIK66uS8hNE68CDuyrNRl2zp5RncRPYXlkwn9ZarkLAjNTY4DCkAXF+6tgXRcTm3B9lRUPaaVwtmpV/Wz7BGU4cBMwNcXoYrX45tJiWOZuOC3pKKTt0wSahXITMqGxqznyERC7kMecMmjGg1JDwgboE8Sh1yAy+obX1QjgnS1Zq8stAX7lDFwL+NzSMwICbjml7V6GbsBdYZ+D06qN2bSyo+3jD6pMA4TYDt9rnIFyY6M9kU6rwHoU8J3XBv0q7ijZt2LV76qBgVfMck7FZjw5lKT+qO3+O0vgLN4NYwFCDtfYzfVkmt4c3EtFYrXqo0IAu1DLUbkvtvghY9Y99Er9V4XKimjfqt/KNwWf3DxPtpM6gvCAxsN0G8Pr+FZSia82C+wO8Qnz08WlCYzBIM6cTL4yWCixIfQFyGJJy17DiSVA0FkHhT774Kyb9ebUICvKKIpEXsRchWDK62ARHBU/NxcK8qz1MpkA9HJqHc8a1ybGYucfbfKZl2ybOVGKCBGUNKTslVDlYFmbBVpWOZkbM9iOMowgo2GLeQJlfTBACnNhOAo5keAOVGyvyXLKNUhBVOxSZqlSOXNHC02mqdwhyAkw9Um9tfEOQqCEM2gML+sosI8AG4LRadhgn2eaP32jfSM+IvVjCl98VTnPZMuTyuGz6S7NbB7MxsxnQPTa+hoPCsNwTNg+ihOyPa8wrf7+My37YgfPX0mx71KikqWOCqpI+b4TupOZD7vMo5hyHEcx3HcabwSnkVFHm+1V/jJ9WNxpU5sJwnJirzgMEoinE/Gc1ynFHpjJvEs3t/fw5eXz9N+DvL9CY2ok0u2Y4fxMzAdw+Qk9JgOBaQ4AEhAIb+p1JtgaFXjoN2dMMo1mYl5myslNKlvGM1NSnINQVb4ajMgt7oaQBJqobaS8GRysmK5g0eXwo322QCfVcI8z4R98/7NxJLc87Um/WJ1IW0zzvEQ2RuK7F5aObD9/O+AtsuXimt2mHsWuVpBk34fLAkjV2UNJs4rP8/IdSQkqUkg1sYXXsOouJdgjbTml8N2Ae1LPZ/Fc3V3csLV7gfpQHVX0QUMqwahTnyko1evoaolGWmGCeS1o3U8TQDCcyfeWrVnrD/IiW6D/cMEqrvvUac+Fd+yVkMuWTqXg1MOTrsnSYbXLyzCJrqBm1OPv/nsq/HclxP+sS/Fjot11eNFHzEXbyxvsB2bL6Qf8koYC0cBF9Uea9vJS2soYJN0/x5W17gO8fPLaSmsViNbCVWeDmtpOX9n8UJIfc/tHq/bGKcFkLhSV6HFaZK7HtnKcZ0JOCRACx2syhd6AKkNmSqtg9mOpJGMgnJXECeuBOjLVG2BRXoh6hsPlxCCtpukWQkhgBK7E6yRxi07eqmG1NcD/FI5KdzSyn5yq/R4YuUlGNemMFJBX1Zm+CpfBxcsTRBrYQbNN9iGpDRab1gN3CFn9rUaYx2kEuE6zcmYkSW0Ig+lAWy01b7aB9gxhxKEEG8ffEMz/gsBjnVAfaP9Lr7NsZiKKE1tqZHCaF4mBvdzh8UnWdJcDSZNQZrKkA3BtoNJoUdoKgwX8X64vZfKCSyBMujtMIBdfIGbqwm7h9FwTCvVgwkOWH03/rR95jAk/OG0DnLc4BjTSa72BLizeF7DtgKNaWJXE+hlqrx0BvaQ0K2Nw/81xXYtMox3Hr5AHmOwX4hW7xiGHMdxHMedxivhWTAU5q1MWarrcVv3IFdAPu7P5W8/stCEjqGAy5S8rEjDk5Z8FgrHPVNKWkP0EzyTaIXAq7YHG4Ums9HVNjiGS2QyoWbxLEoS3qzMdfbNPYaLuLpUmxHVB/Gc/WtnMM9v8slr1r6uhI3J3ztRd3hRCdMTTQHVNhGvVAZTkiYEJ70QxFU1A57MpIpkrmNxjd0+iFttRohbX+2gYdak19JcB+1bye0So3obgM4RTQXEPGhC1Ew8IxTKVYeqDwKOinD0RKhr1TW3vVZb2N7qyky4l2mhCeX+3Ah0PuIsUoKaCqzHxBIC0hRAmyTUvMzagUWSmBm2b9LxSbyAceFgEoer3Y0SQi0+6eASoe60IBFV7s8hLGmrT1juvRksugdB5kwSw1bPoTnvcLJMEghuwv334s15eljh+a9Gipnx9RH2aQKSTYT3N/H79/EQzb0DxunuoKyjZ3Ecx3EcdxqvhGdBiEnMijxGUvKbPEa2Iox88LXkF06d5jjO7F7yFF3RvdrSKPX4hoB9jsXB2HDcbh8a8VAq66UihgApf5qBpDFquGA0z3OZUVfS+pqku9MOLB2gTRLkZWekkxHM4HVc7s1h/MzVCwC4zYAHBoaUOBsnhLOYw6FpkiRX91qj9PwLg5TyibF+mpKh07Ld4lkoKPFUpStS+eWMpFHPYdISbL0ZYYcUF9c5uRcwrTLFvqIkbR8k0RhLkop+zWXJ5kXBX3IzwAzx0XSbghM1QPhD2WoJmA1pM1htYBPkfWoIy5tMA2hQJ0nbcU2CeYhcHykPsbSonsYbSN0A5NzKmKUFQoHVMDCJ45R8kMQnN4QxYy4qo81mlUWTFMyWTxnPfypuM1wEuF08zvYtQpUwK/UG4rH2l5Dyqtlb2PPE3cGEB6uYRDqvD7jfJFo9O+H6q/HZOm0GPL/OJD2KeqWJQF87AQ539xdeDWNBLLT/eYwF9PvltBJB11M3Dx8epp4OQ4wrH9+OS7sV+HZLo1RVLBTI40Go8WlAytX1CjapUaMriG1IXd0ZxTsXCcAD0L5MvRkH1jDkJr4I5FkSk9V+Qv9GBBC4rXaFuudbMQTmei/uLZwBbeKDPP7oG6g+itWe/r0Hs/MX0JJnaY92hwJ74LTSkROE+fryqLaT4hag4YHtg7jspvcCGMMy81IGhJxwK4BjFFi1R3qv8PgCxGW7CeNadUCE8GZ7gEvMXWbU+1XC3Nmq+w4ouMyUvSQ7PZYZGaW6RGjVwOUKCHWQuWeXv/PAlO4lEWxOgHpW7lMiZPEJtiSG1LdGhJl9Q2hexpNpXxC6BMo6PAxY/lo84e6BgvbOvsnYvJuModorOOdFtsIV4KrOV/jqw0gj89HmHA9+Ioa7oze4/kZUdwsNo3/Ngz9Nefs9xzEMOY7jOI47jVfDs0Bc8Ue2gqMIFCTBufetcArmcAUANtxKeBK3iwmnE9MJp6aHkuh4RE7O+JlwFaKr9vXdG/hgexGPu60QUkJtuaEIcU4ji+bMnKCCJm71qKjXBy3P5cRhaEgYtMfTWlxz4kpWven+WpYOWtRaUp0C0Oi1ch3PMWpuBvksXI02YiGA6GpnSDaxhkclmtLtvfBDuN0oUGfjAyids+kmhXuXS5ycFGAyGnHScikbEjSkGUN05wGA9Nxp9LBNJs6YlHI/MOw2LrHUT6jTfITWiTfmGyseD5MKBa0ejRhTWHTykReR5PalJp/NpJSGti/CjKYCcidpPl9nNUwcJ5iNermc1NGsM8pnYY2oh02LeTjXXmm5Pd+b+sage5DnNyY/434IiyeatL25TNnqxuNyFX+8dj0eHyKjzknV4602dVrXe/z6y9jK8NMPPsEHp9ET//aLS2wfrzHr8Puc8UoYizxuywDkfMTSDDMdkZJ3M7e0N2aU7TuuhHczsBFI68gQuPcv7X8Cn6Si9sQGN0M0NHZbMFxxmemnWRdpduWb55AO0Glh4ES3Y0R3Lz4pzctR9tdfxmusrydVvApFmGCNyu8RATleXtbyINttj3AaHxi3HYSevr6epIpAHqg3GWQVJL4fzhyaq3g+U2vlZXW7USoEdBhzuA7sSRXMxgmwJclL2r+oTRvBjpSDSVvhwQzKeiaWQIdk3SonFR44C7PVF9G82OhvU96GhgZhkbVCgoQ25ANA6Zl4tEX4cgz12u/usX83Yh5Mz3LPfG1guwTxHnyBd9HKSFmdIslZUMxrpL+He4n6agrCmkWmAItNymvqG5LnhLyqsTcbg91rmSeU0N3P4R9Jnsk38RkFAGwNHi1OZJ4u22g4NmODbVo4r8cF3jmJ2ApnPM7ruM2PXjIetz2eNcWK8TnjGIYcx3Ecx53GK+JZMAwFmMJ7aMwoNHlNKSZ0i4/zxGo3UQ5bLMKMnq9Lyc49e3ycOk1/5eVPSGjzjasHePoifu9PPegqhUKN8iC2zyJpCRDdxtxQVW8UXlxvNcl0uF9jXGX+gpSgm9SD8I2RpqVQGdlHtekUq8CsmXjP4EqZp2V1biCeiO0A8plebkLIbr1nSVLWBAmFqqCyAORZuCspBFGQpm5QN9wHqRBwU8sKajIlf2UFgj0btvBOAFCvHgQdogfIIcDk44yTrtoA+KBeBuVtrIHJoUfh7VAIqPIpDCPaJ106xwGLR1auNXuGlSFFagJAPxT70mqLnEu+B4b0uMzwaa6ptphW+lpJeASaKc3lEJQN0D6L99JtPZrkGbrOK2ERA8NZ8oQawJ+lKkxnEJ5GD/Oj5wtcvRVDjHfOr3BIz8F2bHDZxLm/Hhf4UgpPrtyAZ4fV74oUwA95UAwXitLCyHZWPs2j7BOpyIvhKGXY9qERhbGBLZ4naYC/PTzA21V0yZ51K7yV2nUtMTi7jo3HlNy/+rdqqXowAU3qJ7Cddv61Lz26S1XkzqHF7g0lvR0T5Lh9yQUxixGYuNuN+mKHoICvtoLJxsJAcwREovZMnkGThi25dIspwIRc9tU+BnMT1L0eNJyiwzgrEebPfOjE9Y77Tdtbjd+5cNfzlsQsRoYrC+q1ZEypK5MBYExhRQiaI+i0XMrjCE6hB3yREzJGujvhrOZ5Jg+T9kPDCHO1k+/tmKUHJy1Vj5MaBWfl3MCslShpSPHgVfqd52h5EXNSAhAzJBDz4Ej6eYKjmUyDHJMIuzeyAnxRbn82wL2Zq0yM4SxN/4nH+n68pu5QSx+Tqzw2L2MV7dc/OsXFu/Fhffv0GldD/H7tetwkdN4YLL5y+Ql+yxXyep8zjmHIcRzHcdxp3EUK4C8B+BcBPGHmr6bv/mMA/xKAAcBvA/iTzHyV/vbzAH4Osfjwp5n5f77ryZQ6poACswwFFS62nVRADBSf0YdKtvcgdKmAfBWW+KWrnwIAPKi3oo/a2gnvLKKXcfCVJIe+8fQBul0SpikqHYvnQXAJZixCjnLRbQj+NK0qpfqU8CvMKe5Dcmlt5zEmrIJ7DlEEs9sefB4TWGbTQbOO0KRbZWUFp0lFgAiFG+2MeiVlmGA4rtCIqzDS+dBu0NU9MDikFblt1VswJKGNQKSHUc+xSBASoKEMKyaCfBCvhAD1FKwF53Cg8FAAqHfhve6nBLIRSRIUxig3Zvq3nFv2PsZJ9zPO8Rqf+t3su0ibF8+xOHzgmdfQnaXwJOiz5BvMYPHjKoPkgO1bqbFvqASz4xtC8yLPmQO/Hj8vlz0WSXB62zVYXsY5u+pP8eJxDKv7scKXL+Nz3thJCgWBCRM7Za+/w/h+VdT/FoCfZ+aJiP4jAD8P4M8Q0U8B+BMAvgLgTQD/KxH9BDPfKeU6sp2pn5cjV0D6UMk2loKUWhujSM0uVPjGIZaLtosW14n8Yzc1eOcigpl++uI7eK95CgB4r3mCb3RvAAB+69l9YcQyPhLJAgCYsXqUfXAIv2V3zwmpbn+ifRe2Y4TcFRlyvEmzzk4RxD2p0CXtivaJlQc8LGuYpBSOEKRcOmuPZqPgIQOpUMzIZkuAVUkvb4uXiQpA0uS16jFN+oIaPRaI5OWWvYcwe7EymAmT1+PcQqjqORoJSWYVF+eApLtOzknVg6ep6OOgW1Wa3OJKOmdT8Qg6W4RcDFSaeygrIJKfKH4nwslEgtr0jVaB/NKJ8WiuPYYkmehr7c+hAiDrGwX47R8qEOvqRyrlCd1CmLJ8S9h/HMNqtzX4yj/1G/EyzggfbWJ1j968xvV1DD0OuxpfexHlhr/yYx/jx07iMz8Gi/cWz9CYT1evvtf43DCEmX8FwItb3/0vzJyP8ncQZQqBqKL+C8zcM/O3EcWG/tCdz+Y4juM4Xtnxw0hw/tsA/lr6/Bai8cjjTirqgUn6OWyx9N0WQY7bqr7p9bSUfpCoWhZt369t3sK3riKG9s0vXeE7NxFw9Rd+8m/gb978AQDAHz/7+1ilkOQ3hodSl2YmUOoHqTaQZXP98YDDg5RY3QcB/oAIIXOgHFjYlgEgjPNV1NeQbsP1RxN2b+Rst1WR4dMG4yqT2XTSt4BVKxUFrovbVrj1sCTbl1luNlRQ/msyjhjFb40eyxWr9FRgKyon1QIqKiMSJkx+5rrITBDpil2GFKGYH+Z5SJJ5JYiAtvn0b8iol2GKKknpuTCpRxOKxC5rGAJDek7GqBiTMRKW5d+FRlXbYLSiEWqDoVbA3AxGn/FcB5Z7z6agP7RaWQu1hioUIN2o3SVw+n7c0eIx0CW29eUnhF/9zrsAgKry+Cff+RaAiBv624f3AADvPXiO3/oHkc/iG4+0NeCd1UuMbL9ALeQHNBZE9O8j5sf/m+/jtzMV9X2oZ8ahNaP8uyyVeqh6WWlYngwn+KSLKeOX3RLdmNw/Njito2+3Cw3+yMnX5De7VFL95evfjxcpY9w9WgGn8e4tn3ghdu3uV8I8NS206YqCsj3ZkVU8OaCohiQw1aDVEmJFEU4N4eSjeI6btxsJa4Iz4LOYfafRw2b0YuMU5BR0PxR4XrrML8dUvChFkoVGP3Ors5/JTS1uOi1aCTfYECi9QGyU6FZfYJq/rKVh+KxcACA5ExDNQ4xymAy31G2oRFPe3ncOm4gAAdjxPH8x27+RbeRYlRMSXmEra10R/s3zG7lMPi5InhM2pCXxLWM4TfmCOvWtINqSHHrQHjM9kf1bLBtd/2ja/2nAybdSGN4z2jY1T/72Kf7hKobSf+D+x/iZd94HAEzBIpzF+fzJh8/wta9Hw/HyvQX++Td+47Pn43uM77saQkT/FmLi819nqZ19MRV1Zv5pZv7p5UXzWZscx3Ecxys0vi/Pgoj+KIB/D8A/zcz74k+/COC/JaL/BDHB+eMAfvUu+wxMCP93e98SY1mWXbX2OffzPhGRkZGRv8quf3UVbdwFxoVbfIQYGWGEWkJiBpKZIZkZIxggJp4hISQQEhITPLFgYlkIAW1hQ6tRG3e3q+h2uctdXZWdXVn5j4zI+Lz37udsBuecvfd9FVkVVaqmw627J3HjvfvuPe++e8/Za++11ybCKk2tnoN4FCX1Erz01GEF7YuavY+v331Z+jguu0Kawc5cI0rHFfXSFuBucwFNOv43PnxReBrVnkOX1L0new0On43b0z2g2VRhmayoXZ4YfckO8J1WVErVabpC5XGvknaBxf2cPeiw2FXiVvYN281SgqO+ceKah9KbvpnDQKbUdHRBqOpWO4jC2sqf/F4bnYd3YHNrUA6Cea9ehPcKeTjr1bmhe295IR8X2Ez7UyZ8sWZp4mpvIIkdp0AoPzh+9kwsFwREBmKQ0rZthsl5cJb7D0CojIwiYnVqroZlR+izGnpJA+iRFbonD1kyHX6lfWv7Sr1OT9CWCgsWWrdrtbam3wzoEs/CXVxhfyPew/P3CxzfixR2qgPu3YkBzv9+Zxt/6/XvAog9gK9dj5yL7WoBmseTHS5r/NbN17Hf/AHOap+1i/o/AVAD+Fq66N9k5n/IzH9ERP8RwNuI8OTXzpIJYSa07LFBK0nt1K6VwrAL/kRKzgGFJfvtDD94EnGYI8b+Irrsv3jtA7x1/xkAwG55iNcmsVx3yaUwO7+3+AJuLWIsY//2FsqdyPTbugUsrsQxNFuFuIjtjOThbudrrmbIRCvVcKCOUaTtItceLHv0iZXXzTy230ntDW5MpLScep2Iljs6KdT7vXQPc6sA9qmQzKtwLQfVhyCOqdr4BuAX2sRXisF61lTqWnqQ6yx2qQ86l4XGKbpeYhtsHtQBgUsYlk6zEUQ6oVgLLLER6vuUBQHQdcNj5nGa1OnA7Pew296kjwsPziXdaxmPMKtkPFIAmH6Pdl5IhstOEK5ntEk7xHWQSXq5S6j3Na6SbX4/oNlIxzYixL5h5KU3FCb80wPXX41ZjM1qhXf5Snz5jQVckv/f+IMpDn8hT5IB/+0HXwIAvHD1Ef7us38o5/5W+RwA4CvXb+F3vvsl9O3ZwcVn7aL+7z9m/18H8OtnHsFoo432p8LOB92bomfgKSCYYKYNYOYy8+xtAMDXb7+EjQQ3TpoSm2l77hv8/OXoTVwpnuCFInIrbnUXpTHy73z4mjSM9ccebWHiJmmhXOw4DUJOCK7Q9/Nqw8401glsgo1A9Ti+kWs32GsNyPTeAs2FSvbNTWRWm06CX32lY3GtNhkqiRAku2AghOQVp0UAAB2wSURBVIEYfe0FclCvq2Su+RAzmQCy7wmBKejq6yDR/dMIYvIdkeCOgSFsMixkjy3nIyijjIYrvj2X9UpOzYBw5GPkY9oAaoY53gu3QgK8aZ9uXsr42w1V5QKSN1EbzyLdMr6hgR5opmyHUun0vmH57ZmAOil49ZWTtgnsVb28rwl9nTzGSRCYvFOf4C+/9EMAwHsHu5juRHf33Z+/hvpHcUCr51YIqbPZzXuX8L+KLwIAXtu6h+evRBbEncUWqAwDUuEn2fmYLNgK5ib3jB3q5PdbCPK9w2cGLLRFajz7Z3bv452H0T17drKH3SKWNU+oxXFic1bU43cPI5vz/oMtFFX8wap9Qp9k3EKhXa8WV0ik2LqZRv/LIx6Qm7L1FYFyl65FD3+cxHaza+sIVZJtC7NKbjDXssCEblLKsa1kXzd10lIQpA+Pa7U/CJn+GTEzAnk9l7FL+Xu2/Lx50vQjdAKizk5G0EknQEV484cMxGD0wwc1m3fg/MD3/RBi2ONkK/xwApKJwUwgIShscWtkqrwdWFLO7BwgEMPEgionndEpsNT0SB+SQru22X4x7CCSi2SyU5O9frCoZNavLVcvD3tgM9U3lcr2bTeAUOcbLqD08f7YW83w/EZ84L9y+SbefBwpTvWFJWZXYyFZ//0dkVPYuHKI792OWZJ37l/B33jpjwEAd5dbcGUYBrQ+wcbakNFGG+1Mdi48C0b0Emyzn5Y9ZilStNfNMUuRxvcOLmF7EkuWCxck61G5Hn/h2gcAYgbEQpjsmfz+8cv4zz+OnZqwX6HbTk2VV0Cbos3LXUKXWtq7jkStyHWQRrWu0ty47YblOxaxWNcGEWfJGo/+uJXmuuydlIpXhhtRH6iILlhhUB4PED2Y7N4WgKxwxULHEs9Bg78A1iCDyVg4DGGAfV22TSWmM15GziwQiXgMrWdDLN3akLmyF0BdPzj2qeN1BGKzT3aS1ghUnEhcFMKAwJYhB5PCJa4cgihuaQ9U9m4AKeX8GbV1EM/Ndaw9Ww2V2zdh0HdVxkEaCOdCK1ApkChr9TOWzEVR9ZLpA2LzbgBYlCUuT6NIb7hIOEgB/uLFIywfRm75/v1NlBvxxl0+muLrk5cAANvTJWazFZw7u2dxLiYLR4ypjySsPPjeMDW/vf8cnpvF9M/ewRxf2rknnz1p49V948JNHCX8MHMrbVnoFnhzGVluv3vvVTy8HWcFIkb9XsIbBHRb0phBPLNmi6VXSFszqsTO7Gstooosu8z47LXpsAOWu/H41X78scK00I5XgUUdGtAUaPW4kZoDvwzgIk8QTs5ji9HAEIIYO1LmJhtIYIq+Yp+MfOGtK28nFW8mCDckPwmb0TyEE3X1Rb+hcKKCxWWhxV5kWKZOIQADp5K4qDf1Jswa+zAxiHjhSt0nTdLcBe0URiTXMl6HBD0K0nRooSrhfanEKYk7rDTdTQwUyzyLKNkOiILHANDOigFJLhilLLt/lyao+kmPoxt6XatpPFlddaK9slUt0aTmxg+XG5gV8RpvVivpnH5zuYNrL8Q43b172wgfxFRN/fwR9h7GwsS97gJee/lD3PKjUtZoo432Odu58CwIHL0KUoWrABKNzPf3dnB9GoVqyqrDZhGjSe3E4+VLNwFE6JG9CQtB7nbb+NqDGNS89eEl6ehUP/QilNpcZGR5pW4DwCSVLy88+j6tOnGgcbvQ7X6i2RDfBFFM4s7uYzIB2fEwXgXWaNpC8gouF1zGzlxZ87LTzEVfa4YFrCum63pzHFZuBUPLzImG5d0m2CkcCbuPEYSxuqFiVlHKK8nKQhk2tPKBZ2B4ENR2ChnyeYE1eDTcFrjBLJ4ZSoduljMa6lkwmfJ6dQwjdT+9XgRIj5QcpIwd1/K+EBgZr+lH3XnfqGSAbwOa5MEUy4DVlpfP5uM3c4d+mnk6BO8TTC36gdR/l56RwgVJDFSuwyQ1c724eYIm6alWs0ZKFsKDmfCJ2v0atw8uDESjPsnOyWQRH3Af/TkAwDcevYKNMj4pq1WBaboQ1y4cYq+JrLW/tP1D05qwwZbLehYOPt35/+nBG3j7w2t6rpN4cerHwPGz+YFj+CSlx1dWCLmRTd0jLLI7TJriIoBmSqLKD/rqYmlcSqA4juNZXIkfnN5vhblXLjr0OU3Xa1qNugBKY3dW+4FJhWA7Nm69ThCWnWmxs2sVO6PT3h/sCcgksvw/kLIaGXiblKY1I9UnD79zCiXIm5J3U3TmMEzR2slK8P1ajGVAyjJjTNCNiczYnQyXK4+Qi70Kw7IkErhIzHCSTQLKY03HOiM5mE0mDvMbBDPpUWD9X3/W+Jr8o1+nnRK6uU5ifZUZu4xJ0qpYdV7gRkEBqwRD5kUjcg3L3qMSqLICUuzj8GgKyqK8k14gCbY70KfIhAAjDBlttNHOaOfCs+jZ4aCbYqNe4uYi0rfff7yD13bvAwB2tk5w2MZg4dXpIf7axT8BEIVwJqnB8ZZfSkeynh2+v4i55Tdv30D7JDeGdZjeSe0CdoF+llbwFYkeZgwM5vQCIyS30C2BdHhgSQgp0FUaWfnFjkf9JFUoliQVqNmd9asenPgAXDpxlymwrFixNDmd03gEEQ5kt1d7XQCa14/Ub6V4Z6M+iHdAzGtEJONl5BXcrvx21XZeEyYM9Qpk/4CBDL6xYebEwIrTRHGI1IPoWbedKaO35sms1sbjQZBacNu0me3YWD0H6ofehLQm8GYsphZH6nA8D8SGLLTjzAkyyml97cTL4QJYpUwce0MAq4DFKt63fe+wTG5tY2BDE7zAk61qiQeLmCWZlw26pJuwvXWCR3tJLKfq0SYVNjrxaNvPXynrJ245dfrW4bM4aOKksFyVeHYaMyCPlnNRK/5zWx9IiXpMtcavsAxa9/H2yTN4/zjqWaweTuEvxCe7+v4UKdyBk1caTN9L/VOfb0Gr5NKeFBLXoJWXXqdRiFVZk7m7enECLLc1JZcnhnbm9IHNpB5zQ7VbRv+g1hvAr4JOHD0ZclSQm5adPkxMdGrMAqTwiB2ZviSq8ITAqqjtnNSJUNuri88sD2KYmMmiN3EWl3F2EGKXvQnZqnCZiYiJYoo1D9iWutvtrARmupWvF6bRaTGWAGmbaJmKNjtEDBHVBUNbJAaONSrxA/FvF4DcV6RwIJlEIDUjUc8wHaIwWShPQujqK2V/9jWh3UxweMqo9+K5mlcWWNxP/Ww3OpkkHp3MMa9Ugfwo9btxE8ayi8/ChWqBRXpGJkWHnYuRCHh4Usv9XO4s0d7cADdnBxcjDBlttNHOZOfCs8j21v1nsFHHWfPlKw9xbxVFR1/Y2MOr88itqF2L0vQR2fQRhixDiYOEE958/AU8PkmCh9Me+DB6K+yAk6sJEuwXaLeyB+G0u3Sr0Xr2jCxuH6Yhaj0i6iAiJmfQbKquZnXIONnVtgBC/Mle9KbqM7qORVRl0JHMaTaEC/UIiGlQjp5XLNcGXcUNe5c9IaQv4kw1quuUu0EtD4KQsiJ7GhC5sosdKoUBrg3i+VOGOLYGBVBYUxjvgBQOIChRyrYOGCprQT0qKzwMaG+TEAbwRDklqhAGaPaCveXJqCgO9Tz83j53Rk9jXPUDHomcj00kk7WrvOV1RD7HRyFJvE/yuIHVlVQdfFwCibLNjcOjkxjUDww8WSbZhKqV0z5czKXz3mE7waKNN2UXHIrEpXBOs36BCWEaPpW7cC4miyZ4/HhxEUfHE/zcbpwU9lYz6d34y1ffxizRJz2CSOnNoP0l7rQX8aPUjvrB0VyYnQcHpfD2l881mPw44UAGunmKWSxVag6AlqJvQMqNuQjg1MezuuvRp7koVJBeHbGuJMGTBaPZ1IwJAOklCkRpPqSUanESFLI4zUTYKH+AGxaMmYyBW+lDoGQm4+4X6pqHQh/4mAFxsv9pDzoThNjU16oPQcFMAPkZ71lddgNf4IcT3TokiMfjwWs+p5ZNRoi9gSeAalIEDDIM8j5rEyUY1e0Ic3RikpaFPQO1IX3Z+hEgFp+ZCdWe00LMLLnITiX22Cn5igudMEINiZcRA9iIN19RBvSP4qRQ7C6x9zhOFhubS7h0s/bBoU/31KrzUkh5sJxILUneDwC8D5hspQzjogRXY23IaKON9hOwc+FZrPoSP3h0Gc9f2cMy5ZBnRYOXN6LCVRsKeBfdgyWX2KbIptrvZ5gnj+PbB8/hSQqObk5W+PDdmFXhrQ7+URY0IYmEh0r1MkEsGRBnyFTOlh6XDpxcuGIBLC+nQNET3afZUoGcvrSy/znoqfvmOg8AsbFw5gY4khmcndaAwFCR2UPUlbjAIPOhZdBOsjSDzlgmmBoq7T4eghus+MIar5y00Qulci5cxxLpV1KTKmlFWJG/7Omwhg0F27YUJFY3P3ZdZxkLtXY5z6u8Ve2ykE6FgYghsM+2LLC1N5YDwgTt+pbPXxL6RHPnNe8oN6Rmp3R8JpIKZiblaIQKaOeQbU41IAygmsTt2aTBweNaLggn8d6jowm2NiP0bnsXfzfErnpZdzYEN/A+Vomg5YjRd5biT8N75xPsXEwWBEbhA17Y2MO378WS27/zwltSoh7YCfRo+0JqRk5Cje8tYt7p7vEWrs1jie47P3wGxUm8KJ1jLL6QWuQtHJodW3+Q/qwIKNINYe4CZ0iW1BKKAy1j766lIrRHNRZp4igWJGxO2yc1v9ZukGgdtDOHIjMEaxqwBMVFLWjgJQZJq+nr1KvnD6hX6bymdF3L6ET01sAirw80WQweWGsnSkI31fdyarGv3SDlCMSYRnb7mdkUSLHGHYgG0nSaMtZ4AfUs8YVuWqI86dL1cMhERluANYADNs7TmxRzz5B5IajEXowXpfGUw2sQRPNC4Yj9baT83JNCDAfJdLBXuGEVyrop0G3kiRwoZhqDK8tEMqxaHF6MkCEEh3qWhHkPahTbiQTYeblfHTFCyph4N8RkOZZRFj2OTxK0KXvQxQ5UjDBktNFG+5ztXHgWhQ+4unGIwIRfuBLFwGvTCgDUD7qiZ4rr7dU2vrMXxcR3p0cCQ+o7hUSVEYDicfIIbiwRFrmGwAygNxRhr++5Tt00vyDM7sSdjp9llB9EaNNssfD5y2NCl4hbTNBeINO8ekKgCQB0OUDnnHgH3tGgp4Q0STYqSuyM18MmA2Jy/K6A9J3wKxV/dR2U6txDeA7BeifK4UqVmJD9B30tbFAWKdAoyzepvidjSNbKHgeg3kSA/iasxyRWHor1RCwlfEAQIxpABFsfw6cEWSnwgNqeg5k2Q5U9odhRTg+u3oR2G4ueRf4RzHV0es4ISdK2NwFbDL2Cyxej8tKyKXF4FE9QbjQ4TN5B6B3KKrXvbAtszFayXRWpTsoFqRPpA0nrAOcCVitzM57BzsVk0fUO94838IsXb+FKGaHESahE0dtRkN6ldhK5vdzGcRMf2r9y+T385tf+ajzgnIUoVDwpUCQCVesZlEgoPO2BNmsa6BMXiT/xMHTk5OHevOmEcNVt9bjyjfgD7H1ZCVpMEOJWcaLaBLb4KN+A3gPcWiJR3kfZnIDeVGCdaGx6NZSavWEPLQYj1V6g3oyBWZTGHEEe3FBovUQoaVgDIRoOPHigbSpy3WK5POR9wf2OBB5x0InLdTqhURcGZDSbaQgTrbuwcR47+YtWxGDih8CKeFydXAQqmLmEPaEvdcL6yPtOf0v2Go+ASYWCIOpmlp1JAQiTIPsXqWCsLHvUZXz4j5Y1blyI+Xlmwv5xIlxdP8be3Qi9/ayTQscQHI6TKn1R9DhO7M+q6DR1SsAsURMcMZYLJQaexUYYMtpoo53JPlMXdfPePwbwLwBcZuaHFBPf/wrArwA4AfCrzPydTxyED7gyP8JucYSD5MfP/ArLROWeoMNhCivvlof442WU+V92Jb58KQrz/t7dL4p6VXO9k+pSsK72ofFCrOJWiVhMukzRTKOafOKiBwLANQ4nz8R9Nn5YYBHlPuGXLL5msQSaxPP3DbBMNN7yML7fTwxvg9ZWqhyHM/0nXKcBOt/yYCWzXkNWbOKAU70A16s3ET8U/9gAKvUwKzUGNSYCW4xgy6D/SD6GJSdZZ+Nj+oasB0njsa0npMeKGZPsfgzHa2GJ1Mo46y2Z4RJJVWb+fPwcybaV6Le0fdE1DZCqTQoaxI7jTMcwEC4Q0FxMmZmOgAutvFHXcXtSdugTdJxWLdqER4lYKkcXqwp+ngL/rYNL3J+y7NEmHVnvA7qU9eg6j1niX3hT0u5dgPOnkFM+xj5rF3UQ0bMAfhnALfPy30RsLPRFAF8B8G/T34+1qW/xZy/cGbw2c40oX+0URzJxvH3yDO4uM7PzEa6UEdf9j7e+BFxNMmTTDtW78W5YXg2SZgSxFhHVPXhl3NJcPOYYnHsp1AxaxH1CFUldALD9nQrL3bhLcaw8f9eam8lmUgQyaKbDQhLX8uDh1yyCHs/1QG5FzeYBBvSBYK/n9a2mIl2rE8dAaJgwYGTaupJBGXk+Tq8T1jrbMQ7AbBIGGRBhxa4VglnFqKeagRs5BcxE2qW+15Mz6TjshBw+EuPIx1yLm+TxO9MDJr0e5Qx5eBykIjVLLkskwG4CKT8HA/00M3YJZZ3SpRwl7gCgDQ6zlA0JTCjSifvgcHEnyuft789x4UKkDhw8mUkZexecTF7OMZpV7ulCWKUeM6tWYQgBKIrwqcrUPxGGnNZFPdm/ROxKZs/2VQD/gaN9E8A2EV0/82hGG220c2uftX3hVwHcZua31qTcbwD4sfk/d1Efug3rxzNKWZlPAWgX9blTWvd3Hz+DC1UkpdyoH+M33v2l+AYT/DzOmt1+pW0nAsTH58aLZ+nrXjueN049jtYBK51D68dx+/hGQHk3ztAn142L7wy3otBgp92WTMdCMxrFAtIEdx2OyGTPkGCg3bZww6+MV8Jr7rwE93Tlc52qPTGUBj5Y8c3KG72MtNmbTEbARz9rnRE2AUBHQuCy32+wbUlbDsgUbwvLQmWCtoENjV5RThTVzW6UuZbBwA2CZlsCayLF8Et8+9F2D9YLYmco24ZUB1rL1Ei5gB6HPYvWLBFjWiQOUVNjViqeyTTtzXqFJ8voZU9mDZ4cRqg+nWkpel30qFMGZNkW8EWQ46+WSZMUQEgwxzlG37ufbIk6Ec0A/FNECPKZzXZRv3B9iolrEUzv0sAk5CuHgPeTzsWT5QR//wvfBAD8m3f/ujDYaOXwyrXY4u32m8/j+Eb6bAdzR5oBMEkpOiqTKzTt3NySML0b91l+pcX8zYg3FtcYrtE4RGFbzmX4Qab5kGBufcgjzk6fK21hE9DnjEnDA1KWxCMsr6w3WYQ1qv8wDqBxB3W7NcZg4yDxJOmvuTRW+clqNtiHM1tU0E4TRKGpaWIM2h3iEyYO2HiEPb4jM1mYwAZYYCeRGafJOMWxsIzHwdwfGXINJgadaHuTLpX6vdrEWHqdOGwqO3+XbPmh3ZqvZLLo2GGnjjfTk3Yik8W8bHD/MGpSXNk6wq0fRWe9euVENC8mZYdZmUmMwDzBjcNFLbd9aB2a9MhzIDjHTwslnWqfJRvyMoAXAbxFRDcRO6V/h4iu4TN2UZ9f/HQpnNFGG+3/v31qz4KZvwvgSv4/TRhvpGzIbwP4R0T0m4iBzQNm/lgIAkQexYZfomUv3kTPpVSavru6hlvHsYnx67sfYsfHYM+8anBwlNyzG0e4fxRn39U2g1M3pwA3DFzllnDmNVf34CzMy06m0Pqhk0Cm2y/RJT6/ayHLoGs04u2UtTtw5W2eXtzoDnL1qVeX1wYpbbbCGbdoPXMg+zTDoCQZCDO4BraOwvQHsXAowyWbVbH8jlNrCiz0MGXu7Mxqy8Pg70Dkxgrz5kMaWGGzFRQwzLyYrI4NEMvl4OE1tvtL0JnXStRNtiX+TwO4ln/v3mkfmeANN8Z6Qh7C/UHBCOl+m1eNZKo2yxXqdNBZoRCjCw7TFMgsXIi8IETyVYbSx8sKXTpm3heIcCMTsVYolR7u+FNBEOAzdlFn5qc1Rv4viGnTdxFTp//gLINwYEyoxUGYoU6/qAdLNuT2ahv3jmK5+j97/rfxz29+FQBQ+w7tSfRK/vyr7+MP//erAIBup5cUqY18I5D8YMwEX6UJpdfXqdI7rDoADn4p9U99u8byUpogTKfsdWgxuEHzPsb9dQZnU25aZJiRDMhNRqRDf9rvalOYA2JTz7Bl5tnY4Gtax/Gn4O4Bs3JwYj33IN4hxxgWvsnbPdSfZegYnZ7Hbn/0+5rPDl43UOiU77f+mQGEyWOATkZsmLT2oZdJtFeI4zoanKc3pehZ5LnbYNGS8HUvMKT2HQ6T2tXl6RFW6QSV60Qyr+k9LkxixmTVFSh2Y8xucVRjtpl6/R7WQFwrMa1agTClV6IXADSNKSTszq7sDXz2Lur2/RfMNgP4tU81gtFGG+1PhZ0LujeD0HIRWxYiLretWY7uLC/g9d0PAQBvr27g+jRSwr/+/svYuRy33/zghgjwDo5dsHgZAKJ3kS0t+b5gyTeH4OASPXZ1qUaZukK181pdaQcJcA4IOR9Z7YavD8R4G42Qu1YrSomHnyP7WQtrTgl8fpxZunW2QXn2WnByAJ2sh2RhiGRhjMJVMsdBCVTGtSHmp3oNNnsyEL012ZbTyGDrxxu2EjDHyL+xJ+0tzWuVr2bIQuFegyNA9DDkPDxsYi3CSCXQpbqhvmb4RKwqCkOgcgFt6qp31NbYqqIHUUChpyPGRhm9iUdhjksXotrSg70t7MxjQPTkqJZ6ENsLpPBBqk7rUuEJEWPFhDXay8faOZosPErqRTLvoJ/iJBHrC9fjb196EwDwreMXcX0SOfPtosSvvv57AIB//Vu/gvnPxdePHs6lQIcaB05luG7pEAzMCCnz4csgqSZuSTIsy6s9MvGvmweESTxOcTiMC0tqdGVetHBE1LpNfKEF0Or7IutnHiY7CcQ+Fel14wLb7YHLbWXmWGM0BJaereztZ4fwxKZdB6nTfMwumPiFPrWaDaLBsaW+wyhfDULxTApP6HRoQ71OXOyG45HD2ImC9TjsIRidPQ3gXWZ3Uk+mFaRCjvw9e8v69MPxNZv6b2YMs489S+M2D1u45jadQaNRi66U/iAnoUKV4hcBJMzL2nfSH6TZOsZxEwe/e+lQitD64CR+UZedHL8qerkGVdHHupJRKWu00Ub7vO2ceBZAn5aPLO3/sN3AXhPJJ39x60d46+Q5AJEG/l/vxHaEV6/t4/cPXgQANBd7TPIsWSg5gJ2u1K7X1cBK/gfPElUmF9A9SV24Nzq0q5SXngdZ4UIBFQ2ZEDit1DbK7xqz+p8CH9a7h+W1LnoK+XjD4KWtVRgE6OziYFxmCbyaYKTFGK57ChQxUIg6NrUh6upQzwOoIGbUsZzlmVgnotB9hfPBAwflqdL+VgP01EUxrF0n6Wr4tAixhT8m4GsWXfmo2TcUkKriUADdXAeT6f8AwKWBU3mIBgqv+kKCka7o0CR3JjChS9g0sIovV0Zb8/rmIf7kTkxMvv6F23jnYdye1416UUwDeVJveqYQMZ5yVU61czFZnGb2Ym36Bf7vUVTQerDcwO0HsQfq3/vy/8Fv/M9Yll5dXWCVcKArAzgXiRUE5MxIR6BMunKsWgIM9G1SGSoCir2EJ186QnMv9W5wiAKnSFH27KIa6GFTciAoppfiLr3xXGcj+MOfTPptLrVew3U8uGlPm3TWTYheMExQqGtuy+FdqyQj+xD6Ra/q110w5K6g+hDrbQwBINBHJpe4D4keCQw8Yqc3rlXfhiMj1QczRp0kB0phdvyBkYMTZPQkQgn5rCXSEWPQvGlwUMTfrJ3pa1IkVq4Vqhn1KbnHgsJeC5WOm0r0JuZVI5mRyvWiDdL2HlXKaBTE0nBoq1yiPYwz1qX6GEf3Y25/6/mllL033Vr8IkGVwBFuf5r06QhDRhtttDMZ8afhe/6kBkH0AMAxgIc/hdPvjuf9mT/3eN6n2/PMfPksO56LyQIAiOhbzPzGeN6fzfP+NM89nvfzsRGGjDbaaGeycbIYbbTRzmTnabL4d+N5f6bP+9M893jez8HOTcxitNFGO992njyL0UYb7RzbOFmMNtpoZ7JxshhttNHOZONkMdpoo53JxslitNFGO5P9P054KRWKH3gWAAAAAElFTkSuQmCC\n", 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\n", 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XzMdavWK+jYwNMOMv7tU+OgOws+vKHmC2Xc5jz/OR5ia0Zqys6qUb1EuyDQLMD/W1nXvdF6Fl2eVkQHWWOV+URjVkpJFGuhBdCsmCOBmA7EnnoeITgGzhoQwmSb/LzN7i5LlSA52NnfATY9BhVU8siIuGUq0oLNRJvK06oDmLnyd3g9zfLAOak3g01Mse/V78Qb8Tj/L1vsPqmp62OU5kmDHqlbGOOz1pxOhXWOFY+lKv9YSP40innSeNOTAxDWwMolzpiU9B57sKRqxvdJJdp+oSVyz2UzlJa4jlvZB+VqouugEIFjeRKKp5WRpU1cYbVYAGM9ZB2424kPTZle9YFkgwKlrFRTxIVrWqDQrMRe6zSEJG+mLHhWqlfYEJQTCLzwpnBDijSi8+C2l/diu+hM1BhSEZbikA3V5WjRWAFp+pagUZbEVlpbQ8z45FBYSJgbooXQpmwUhAFTb6uPV0WPHTgGisuy/q63qbgJ96/b0zQBqH0g4iSFCv1mxAn1mv9Xq1JGwOUxeck5dHwcH1cUrrVSvicL2Kv2tWDL4Vrw1zfVGhZQTjBrYLMm9+6pWJVesSqZkpxpvo3BQRsHm91yi8BT6rJBXETVug/mqzsQwzAnRDC6NlEyTW6marNluxN1a1Mx6KTJYxslMVyt5TeypuFBWGSkZQuAqz63kgeOF0vIWANf3IQVsGqDXIOjE2i1bVP9ehtJdlEFTNxfrM3rRQAX4aP28Ogaqv0jN1zjCgeK+FOpbV2o2C2njCJWQgH7rGfsE1x3kdvSEjjTTSg6ZLIVlYA6cVG+XESn8D2SKtvyt84Rb3DnMaJe5Zr/T5wYZhNyZCsjeGMOgp2JxITzC9zdgcGskgz6IDhpRGoNtTkbm9F++d3Q7Y/3y0mnFNWB/GH979SuXZXLGOoysjU+V0rs2JxerVqaBgLRpUFaAAUXP8BEYcIxX3WxbVw6oBbtATvDCg5r7CiPdqV0sW/Ps9Q2w8FIWnxcRIEJeiP58jLRURuzUEIEWDeQ7pOIYpi5pTbUixLDVAPqt9XKjBBeApN28MyNJ/MoZM1rVnAXtuAKa3srrDmN2ODzp7TN/95ioj1E7uz5Lp/EZA1XEaB6HfzVJfiTGx78Ya4Z1RR2FwPlGkx4XpcjALVluBBctY8BVZUFYmwyjYGal0MGJ0MBbuiSIA3aBW835HdfrQQMA+1KtoN6wI/W6c2ektJ2KhzS3hNtpnu6G7vfjv+hGHo/dEP9n0NuPgTyLXm73WwM9UFLVAM/FcGLcysbHnmOAx6gFHeRNwYaHP7mCQMhfvuLAtCFHJCPLGChO9P8aGlF6C7aRD1otS6NAmhLzwqORbtvJs5HE7EwtU5LkgfceRcZmDwti9MtPxjosgQTsmyYXRk66D/Ay7JmvEMPb7SMcR513Hml2km0NCqONN/QKok2vYdeYQANDtJ0/H1Ik7tjlVz5kjoG91w7BhmO6cGB04tVGFfNCOashII430oOlSSBbCsK3xOKhGYkOTiWB84RrzEKMWVVwuPB2Jew67anTzExZrcJgweBEfxBWjnkTWPRy3oE0SC3sVO9kZH7zBLRArIAcAXDoxskjYngBnT6gK4F+Mz7763Br9PN508881IlpasdiqJ0W8g4mFAJn2e2tUNAavwqti+mrFdy7BbhJDY1RACsbbkh9tIlX9TE9ACw0HDJzdGjvJqJ0GXFac1GSMihOrMhBIMBEo4oJCVUoH8brFwJi4EtL+RA+HqipxHCp5hBYac2HihuCMJLQhzG7o3E3vxPtP3kXYXNGxZg/F5I4aWNnFv4Ho/chSSXMG1Ak+7zr1klRriHQaE+fkfpbGcJGoMqT/POHodehSMAtLxYLJasZ2oJKJSVBAVOnBkLCIANQZHGSw9H6CwquCLjZCTBg28Y019yoM8/iDYa5Wcz+xKD3VLaP7UcV3EWkN0CwvTN8ybn0gTn9zUuPwj+MDZ7cYq0cyE4MuQiMCU0DhGs6iuZ9o+Dl5teY7k7aLHYsb2ob1R7d1VtGMSrFlMRdbAWuI/3kowsKrYOxPoQbEHGHyl5DX50Rg0/2ruLDn9LoJrLvUZCNIIdjKFPL4KGypUwLC0yA+3xq1lvX7zCCqzrgwzXh55uWAQVBVqd8BfHK31yszZz0Kd3AG6oH1QCIG+nS92yNBtC5eHXD6VC33iIpGZf4LCS7sYRpL7/lNMItRDRlppJEuRJdHsmAU1m7AiIEwocFAga0QUbvR09Ayy9CYk98adCqGz5mv2qDXe5Kjb3KLgCuRn85fATYH6eTtrGEOBRdHTfdd18xb+rv5y8DmIH7uDvT6lU8ssXo86iG3PlCVapk1DJpnZk+HzRNqw6ALMbQAtVEhueT7vIEUu0En1A16f4yFSGPNp+2acF6IPg1q4Awta2yKhdzD4ksgE0LmdA61UbkGhYdzzUXGL/HqeAVORalH260MMCxjcsh4ZPxcvUNZbfJzxb2gAngeRdxq4hGSNIpNhcnN+LnqgMUrsaFuv0K/o5JbjsS16p/rt+cj/lsvTUzKwPCT+Hlyp0N7EgfopwaLUWt8EQ2ErB26DsgxAH4WVfJzs8e/Dl0eZkHlhuAaqku8TuxG1RGGRl90keBXRF0N2AqtYTqVsYibTcOOI8NIbdF7o+zob+yIZXu7BIGAeoKKfPYl2OS+7b10kaMNAwBW1xivfV00Euy+UGPxSlwl9Vml8SNFTIAN4lLVhq2b1UE2eZENHOomZsfIGRzs/QU4zmQdixmp0j2eSs8VShWxPqPCbpRtBvXSZHqqNGgv1KwZyoxtgryqGM6T5KGwWbZsqHv0wmjfySBUFTxm1hlBGVwobU5UkdyfxxGSWuqWFXiIP+QmgNKmdT1hcjfe3+8Aq6vxnuYUymgnat+xKQ5sEuKqA/zM9DG/+5kC7zZXWrRHicFvgH6RGMFEbXPOHLShNbajrLaM3pCRRhrpQdPlkSy2ic2JDeX49hQBl5zS5tpUww3rCTTdsr5n8dwYuWhwcMnrsXg54Oz9sRNTc2JZQ6k94Wwi2JiAVq9v38sViXTQ3iOsr8Uvjp91WLwcr1/9ZI/ltfiKTp413odAoCx1WU+RiekoJsF4kNDrYWLzXnJlpI/BhDUbcJL1QNikxXmcw8JAp1kNrEQkiYBCpZKNnzI4n+SuPGGtgdTW7YCZd5awdH2X0cis4r7+tlRnxIvGJby/3zcDPEwAujvxmA4LD0qeMswGoIudDCcN9j9bSV8PPhsHfuNrG3RJdW1OIhgLALwn8YDYHJkuGKOmBanR1nyk66ePV2jO0hyYKODK4DXY6f3BxEa5nAjqz6Q3hFF03gK0Qrs1eBO3X2TTtkFHsin1mTbbVYwrSYt9KyNSntzVow7cx8b8RBczDCMoRFqrg9vrRndXN6Myw2oD1Mk92R0wbn115CKzGwHTe7HRE/OqYuyG9pVNLITNzuUM8KhwtxqgjnhATOg4m7oTbqAyKC9Tpfq7LYCTdeXtAkmiIlbK4CubhBjqQiSzgWDGE6B2GGfiPsgAutgwDlhniBkz1xGsJ8/NCFivCYdBQEjvnifZhUaqehAD2a2+drI2Qg3xUFivUr8DAWLl5+f+2t/m9xrqUr21XsLMUFbXCdUXU99NlnkKFrxm1m3BdLhAN1+EvmQ1hIieJqLfJKI/IqJPEtEPp+tXiOjXiOgz6d/DL7WNkUYa6fLQW5EsBgB/k5l/l4h2AXyMiH4NwA8A+A1m/nEi+jCADwP4kTd8WpYqjM3RJju1p3qGfseKU/Gz67XKk8UA2PBlCppoBK4E6+YTpT5xmN5Udjv9YmTvoYqJZoDkeck/NqHdtiSdNUhKmLk1vjmTAcoYO6uOsL6STnhy2H0hHtXzVyqsryRj4ASl9T8n+zWZuCgYGHgo8z8qfkA9IzFCUtWD3HdbWcwmlWFvMkylBw5zFCUZJWFvpYC2eFpmkdFINr1ejn02XRSpUiHsRX0O1vcHthnTrCeMDDDLZEkbSHOEEhBmsWGaDXC5/wJkArB2MqfzF+ND2iPGlU/Fl/nyN01lDmgAJtkA2ZYRrYIXMdJHaCDgMoSEx0DEEA0pMpUC0NyLzzx7nMTDsvOy6m7NKTSjmakHY2OgvhQp4UtmFsz8CoBX0ucTInoOwJOI1dK/Jd32swB+C2/ALMRrakdAyiAs+KrIAM26kGwJO4RSLJVsSRXHYDUAqLQcYKwbEh/M5LB+JE5ufUbRio2k8+fFbFSh+0KGc9+Mfi3DMveGtrR75LHWZ3FhAUC3D6yuRX15fjOAUlrzk2egRZWy+pbHJ2qWdZcClWTwMuJ4xWJxdxvd6LYOh/1N4WqFsVlIsBSfr3oYlcxZ9zWbZweUth+jGqoLHaUHxjxH4iKC9ssmzA2NxgXZOAq/CLI+mhPALZOa0TcIi2xESe3UAbRJKsZKF2u/Qzh9Mr4nMlnVY0nIxICNKg0Y+9ew5aEwRZw0DsqgcSm6UuNDFMRFgSWIcAhUqL4Q4KLxRHFSH99EINkD8YYQ0TMAvgbARwFcT4wEAF4FcP1BtDHSSCO9s/SWDZxEtAPgnwH4G8x8bJPSMjMTnQ8o3a6iDof7uFw+FeqlSXxa+OChxstGP1tPREwukqSGmQetqvRbMpIIkMEqs9cIJ++LrN51dZG0JQ/NWtkLaDSXBsz7LM1b3hIdqDWYMuossnvg7Hr84uBzPQ5vRxl1fXWmAJxgyhLUxqgY1OBr1TUKRvXoYHQSa6hVcYU8gAwnN4lgrfdCrPmmWlbYMibLyW+zkgWN6djuh0hLDQRCX3h+tgzIFpCXQ84ZWuHOV6zgK2McDcYT0j0x6BpaVhL2zvnmTYXJjfg+dl5kLF6N4sGtf6cpQs0tBsdCws8tGcHl92LUr1T6cF718yy1AMD0FmP1aLw+udujParlnhwLVHek4DXrUan4XIn4T6O3xCyIqEFkFD/HzL+ULr9GRI8z8ytE9DiAG+f91lZRnzz9tEyZnVBZeI0mZGVzjy3vV9bDMOG6DFRJtBwK0JJZzM7+FqgO4gp2L9eaas4AZiwz2nadSgt2ERiPjQ29lnR/cxi1ydgdBuD0XUm0XDR47F/FzjTHwOoxlvZzluuY9i2PSdvnmsE2aEIaQMmgDaPLsRnkSRdtT4VqKGOxsTtmrPI8MiHybBoiizK1c1McOPqejGhuA8NyG0LWC5UZmUlsXDBVk4EsoAJPffqtqqyU44Z6PWDOHieQr6UvNkM3ZY+QVb9sGsCtejKWuciycRrMx4GMKm2uV4TuSnxov1OrO7aGKWhkDiKbQuBL0CneijeEAPwMgOeY+W+br34ZwIfS5w8B+OdfahsjjTTS5aG3Ill8I4DvB/BxIvr9dO1HAfw4gF8goh8E8DyA73mjBxFnazwKw4zFCWQxetgKfc6fqw0VyW0lt6St/WC8LaUaQmI9ntxjDJNebs/h4vUZFMNgEtFYuHABbAoQeHi2NYYa4HQC2cjV0KrKwM5WLVNJoTtg+En84upzaxwv44Puvl+hCKFl1FIxu7SyCwU7B8Z7YcPIXWn4KiS8rIsZA6MC3WxZPn0GNxoqHmtdZLWJC0OqnLi24pohrlS8homstOC8WP8kzYF9PpO8CN+ywLYLQN7Ua/kEI43VJzk+iDBNGa6O3+Nw7yvjre09M3dGTd5O0muFH6uOZrXJqqnBrM9Y3yXPjRrAKQAhYUC6nUoMn51RVUJb5lCVqOSw1aEL0Fvxhvy/eP3mvvVNP89tWbud6rmhZTTHyUpdm6CkxtQCJf2xb03HbOCUJ93YBnhk0ZybgxouL7ANCit+rklJjCKztWRDsgMi84KzjWCA6uhmM1RrKPqUUYj6Uttzh3Hja+Iq2HkpoD1JLj7vZEzBLKoYrq59Ea+Dye+xjQq0FdAV6GVyLACSB8ICf4qNLe+P1WMD6Ly7rXuN3Uhc0BVKmTfP9QCJZSna3PaiZS+UrX5uDg03EIIJS8/Pamc9NseRCVMTBKFpN23eqK4DsDhnTFv9sV4PYW5b3p6sem4H1hXjPq8avIcccv2cBCHqTJnMiFzNBxEKb9XbBsoaaaSR/v9FlwfuDRQGLFsklp3BBzA0+xGXlbZschOpID5RVl2oJACQIxI7hzpJLqEGhiE27GroqeK2jHd6MnqvAAAgAElEQVT5Y5VCulEaO8n4zKW48Va4vHooADpOhsyZsnoxmiEme825PE+fcnjq148BAP18V+bg5NlSHM4xEpXxQMTq6umkMaeKzfxEA6Fa6XeCW5hwoSJZz1ccv5kYB61JwtBaGsbwWUgnpNdtWUoayvvrQt1I89RquPowNzVErIpYA35uju3kIXPHugW6V+eqai4r7CTQVZYO2iPG8jGS+crSwTDXItuTO9p3QL0htdfYkG6qsSHOwLHZqWHSrjGbIAcoDZZNUpE2h4TZrSQdXzHGXMfY9oIAEdT3ZzY2JBf0ETHahNM6kzjXDdCQ4vsCjrJxwKgGxiW7nZxW5snGUFTA+m40VOyYlGe8Jepa74n8lo2IGLSfluHYEHbJzBxgUsEpsrM5U9CN63VRLZ/yuPcVO/Kc6b3YiRN2ZfYv6zkwrlYb6yExJiY0208Y3lQfl0zffQnWclseCQwmMA1m0xRxPvp768IsqtEPal8AzEYxNWPiQlf9W1LZ2WcaFC15lOtgmQK/KgalgLH2c1NsrsUHVUvNJZKL/Uzu6jqoNjC1SqD3LnQc7ZFNB1D+VtbB1lo6T0UMjVEf9DJo0DQL3T6w87KqIVUKgSev76EA5FG5di9Coxoy0kgjXYgujWTBLp00VlI4r7xgDzG+VWuCN6JzjpGgAK0mtZWHUdtjIIcbdzahCBQSbomMWoHSUCTiM6AQbyOVyCOsccpWvW60a8Ncr9fr0tgp4vAdJ3k66xVj54+iGfz4mV2FGjv1HFSDhq6TSYQTWnP6sy3jp0Y/W5E7enuMcXnrqHGd/q5amopaMG3Wqp7YKuChUau9C0aCqEtDpb3OJvco5wxlBsRVhGR3JNGjzOr9AoBnHrsNAHj+tScwfSVVlFsCV56LotONr01pAt5l4js6TeFvvXL1iiUJDddAnULIV9etCFFWhhdMC2tkaiCDp9jCa8j6CFHtASLupj1KpTOvOoHxV6ZCGjlV+0LDhbfxInRpmAWAEpiznfXKei7y/ds1Ec5xYRYAKuMBoUDgxBSqtZNN7hdBcP80QFxpNIhKHz0g0M8WfCSeCaBUSQDAZmHaYjIipje6SHoTzh3MgmmOKSbzBXD6CLD3QpSTK5MIluR/sX2Niyj7JanmTAwNYFQCNjkyDCqVPGlWKUFkako752y2dWh+DOMhCU1Zv8POjbhCbUyO8SKQh6mNAWXSdo4D4HNgWG8WF1R3J0/44s1DeU4W1Ve7jOXtuHByQFe1jqHm+dkWMZw3f79j82YQQrZZLNVmERvL/SCERvsl6lS3FTNimLrGQ5Gosv2+R7efbCyDyaTWGwZHXKyzuBhwYRrVkJFGGulCdCkkC4aeymqkpEK6sMleVGogBbTAnM4mAQq3rOG6XOaflBPR+MCHmlElyWIblqungVExjHpgDa6hUTVK4NIdpGSBnygoxk/L0yuPY5iWElaObWhODXBrIPSL2N/Fa15Or7tUyylo+w4HyZMJY4S1J3xoGA46T9sFkPNYZb6zdNKa522g+T1NxTC3geRQ5QaSd9MNRiooygxwIY1IigEbpcrGi0D6bsgT0MbGgieg0cmkZOCcP3mK/rnoZtq5RbjyXMpy9cHGFL/O86ISRL1i6a+fEar0XgdWlZYCUKWi2P0eSd5NP40gv9xfCwM/T4Kw4fsU4hzme/K6aY4qMQpP7wQcvyd2ul8YLBIgcUeuLwStC9GlYBYAxKIsKdGszm+DzLaAKxbMZBmKQvFM2LStpUqQQCGbdo56rcvgTPVqrk1/rMuJ1KtBwbhDjbvQMhBbmyM/ozYuY7uZbYYk541NoWMRXckDd788ictL4DCldHOdQTtCN59vDViKtD9sRfwKygmMekfBWtRJvQvmGXlQodHNX61N8t4hZqQCAN7KZl14MVgvFqGIFjlr7EbWJpJzUriVk4S9bMsjDiRMbXk6QZXez8l7Pfaej19UG/Pu7fjTtWFGyGE8fqK2BuchnqRQA8iFfwZdn0Dp4s4HSBF2D4PUNIwjRsfpb7MdzU8Yy2v50Ahl4GAOxKsVdhDbNfvhAjSqISONNNKF6FJIFgRIDRDJrmROlCKyM/8AKIrpBuv0sKqBTfhhJAIaSPJr1mcqOrqGpFyfDYkGG6s866npvJ7yoTGn85a3A4jjG/K1tlRfcl7FvoWKjc7cE1T6WT9CEgdQL4FNyqw1LAD3XPy8//kBoYk/WD7OmNxVrISlfNKw6bvrNauUBaNZLERUF/Xky+OwYKBshLWJgVGZOJjaRA3XXBTzDed4wvLfcT7ISIxGIgVjMBHHvDE/Tp/JqzekfmGCR/4w3n/rAw7HTyfpbaVzn4FV7DTxzOYwznf8Qu+tNsDkTpauVNW0xs2uMRB6yv/TZ8VOQqWMLenLetmyRNUeO1kf7bFHtWqkz/dhhNK/b2uI+oMihvVgGPSJ9SaQuXn7x+mewspvJzQDtBqWEZPhLuyAYSfptiY79n02C4PtVwZQBjSViVWTPp6DqwYWhjPMNLu3LZDUnOra6Q4MipOB9ih+3Bwy+t140/SmFsFZPT3g7vtS/ZGXBuy9EBtbX3PnehS4NuUUoXYFG2xmgXLWe0HWrXKeWlMpqrKoNG9qkXrzMrlBoWJI/E9dvnAVx/Wg8C1imcVMyU7hZ7pZ0QZQZoyekGV5AcYhMsnN1XhPtTKh+cYrkale6rshX6YczNPiJ9pf31KRubsYk1FzijV3jlpmY5GKBNBUIn5tjRSZS9ZAPynYNHpDRhpppAdNl0KyyCHqRaUvKJclg40PJl6jiOxM92XKAC2eBClUS57K+JCkE7jeRCVueWAsDr/A8FsYuBHDbd+y0UtOi4qAJG1Ua1Yxd04q6tbA9Ga8Z+9zjNUj6pnJAB/fEvq9+HlzheRUa+5VOMt5hKjGo78bTe7Tdy+kj8OOGjjZqG5VRxiM8Suf6IWxkXUOYHAUBaQ6n3QmwpErGyZtRPAKgHlnQg6SQKbuCMM8PxTl8Wah9kUZgzS+mUdRKTnHgdSM/ediJ7o9wGcviZEYYfDyogoy0O1CrmVJL4Ksktdjl6SyuTVqktfq51a1GkyFMQtPt2t7+/CXtAwdI1Tax+5A35kkNjbJfWztFNfTfeUS34guBbPI3ggTDlDoZg5QDwFDF6+NvwBkkVQbXTC+NjvCejGMPcJ5iEuuPqlU7K51ozuY31oVkxSsZT0KUUpX+wuAIoErO7VTNCeMKjGWzSGwvho/dweaMDgi+uL19kjtJBbRN3+JsH40trm6zthcjXJpe0/BOJtDw3grtSu4jow9QAdZJAGGzlPhzswfLajOeChoW62xNiQTS5KvDzMNfqpPbS0P1jVC+m5szAMImuFq7sHLhMjc6eGTuxQzj7z0hzljs59tV2rT4cqI+OIp02ZcXwaM5cC7IgbFbMTQAn16x7GWh/ZZN7ABTVVUBpUZNVzWp8mq5gYUBaYkb8XWfrEqJddb9ow3oFENGWmkkS5El0KyEOZnRXr7/ZY3RAQFIx1Y0QvO/N5wZa63TqAcrtsDbjcVI36tLp4vgggBzrSlz4xQbCBKQtaQF3L56nOMSOyAPlnTq5rQnMSHzG6q+tLvAeur8Z7JXWNQq0iMbpM7LJIIO0jNk34HOH0inqRVB0mWAyi03Q2k6oZJOONbVq+JMRyz8etb8INNqFsY6+SzqixW9bFw821JpIibqbbeWxpr9tjY6Fd2KonQLoNz/tW2RnuUPveNnOx+GiM2gRjlm8niRLzJbmbH55JKuTnQNl3HRR5VUctM3k9uIDVeXM8avm9UXddzkZw3A7qIGRlDREFjYuozI9WaeQr11hxLMfA3j7O4FMwii5QUjLTqz9+coFJdkcEbvdhWh+ZKLcAFGbk3VEDderkubtEOKlJuMyuTyLde6WY5r+Qcp5fLtVkMnYqxflKqJ5O78XnTmxH5B6SQfePF2Ih+qjaLWORH+3n8nvjv/DXCwR9HpNn0XQsZU3eg94aWFflobQZLG1tQqhlF8mEkjwaUKbBh3sJkoBzYxtJUa401cYNmc6cJitwP0t+agRx63bAAlbgJcEnd2N1Z4eh2uqkzxaMcYefV+ALPnqzEI1JtyjkW70W61ixNsR+Tj2Ryl40HxMwXG5CeLZRlDsVQEVwOfKsg43BeGYT8BlEVknnqbfrIUqWwMTI29kT2Uba7jd6QkUYa6UHT5ZAsjJW98G4Y2HMR25B/VkF1AMPFC181Qw1eBK08tsUmmyZ2oG+45OjndZdQiMM5u5XrWYvfWmZ+Dg7DSkv1UiWXbheCobBjstDz9piNqsKoE86i6vQEb0+ATaqsdvo0Y+/5eHy6DqiXWQTXosfsYODLfP8colQHz/2e1PBJ5np8v2qprwz+QkKmW513tzFSxobg58YzY9S/TG7j4Hfj+3OzAdWt+OW6ayTOB0vt8/LJABriPdXGehc02RAbA3uWPNyg3gSugW6mUkaeUyuZRlUpS1caP1IkA7ISASnE29RtLlSF0BiAm0NRskHUyIkzyY/191xrnE2oSiPrRWiULEYaaaQL0YOoSFYB+B0ALzHzdxDRswB+HsBVAB8D8P3MNmnbOc84TyqwfmbDAG0G5FAZbsfq03amGEzYTn6TXX6VKt1kk08YqnoGsmHJoC+DmTWuNJ9iqKnss3XxolQPrd3DBgS1JzpuPy0rWuU5Wl4nLF5haXOTbA/VWueg37H5GQNOnkpp5BzQJBvLishETsZan0C0U2SbiLM57K3rGZrL0xpALRzb4i+ybckvWE5DG13qvBpbbcSldUXGfJXZhsMIOykF3lEt/bpyeIajl6IosD6ZYOeWSmn7n4/3L58knLwnyFibYzUK2yLX2aYkZSgWmmKv6nSswxyyltyg75LY2FkGTRY0mJwX0eiYpQOgOVODs0ipgEpUVLpkZf6Y4XJE6RD0PW1JwfmLGMn6JgwWeDBqyA8DeA5ASieLnwDwd5j554nopwD8IIC//6c+wRg4oe9WK12ZCE0LV3Y9iok4L/lN/g1wjjckS4gDsO5zclY695moqUjMW9SskPgNFaWLWg+Jqs4AsaZlKLMkn50YQ5hNsmOS2IaWsdmP7bQnkFDqfpe1lCFBQpnrM5Jiz2BCe6Ticxbn+12FckcPRGq43xqHTaRiDXapX4K/COVc12eq7ljItszBRjdT1ZFUjwsNFzDmDH6yqmk0TMaHHh1OtV+9Quo3VwLqVLqyOTYwcovXqMVBhqpTCLdCtvVa1Zm+ePVOVWsGJtmQqoyDKxLvSbXRdUKBy3PKeIqymlCUajQMJOKArNcqMwIW4ywTNCVAVaqPNhnyRegtqSFE9BSA/xjAP0h/E4C/AOAX0y0/C+A/eSttjDTSSJeD3qpk8XcB/C0ACQSLqwDuMedyPHgRwJNv9BDxYm4FbumpDhFF/cRAXIs08Ypai6nUjIiy3RigsEtEcX8+jaz4rFF0pIUsw0Rf+okRvSvtW7XRQi/VmUofUpagUZ991Vm1RqupVRvTR+OK9RMjWdTA8on48NkNJ+rDMIfAwEOliVFcT+gOUw3PhuG6ZNzrgOntZOyckMCXh4WeWPVaT8fQlpKrQMWNNKMFniGBZH7C6iLtUCTaIcG6aPkB1wPtPZI2raExn+yuJ4lYnd5UtOPGL7D7hfh5ddpg56UsoTisH01t9ppTozsI+p4mGknaHBOWj8cv2nux882Zjj80qrZVVjppIKhYWx0tzzGQ1LKgkk1eP6EmOFsgOiM+O5XiHLjAU1ipKydHGmZOMTlmj7iOBO0qKQTfhLjwJTMLIvoOADeY+WNE9C1fwu/LKurA/YAdAZZoBKOkXwfKUgBb+nShjp332ZPYL6oV0CXruBvUBhHzI8bPUUeNDeRsQ7kdG4LeJ0bT726pS0hY/iz2L0y0KqG0h4h4reCoYa6bH0xi7uj2GbMbadPcUhWq21OVoD6F6HTDnNHvpgWzIok6DQ2jO0htzbTiOFekTHhqFu1GEyQnBxPqFaFfsNxrocV93kyToOHkPUmOzGEHqM5SDE+AeHjYQWJD/JRFhSp0d6e2hFCrd8pPgfVhZjpmDbEyQDeU6mBOT+AGVZ1sXJLgWMyGrXqGz54cD9CZseWco2Jsq6gK9NKD0NrsYm5aVRFJDicu8BTZZkEhFCkByipwee3y2wrK+kYA30lE3w5gimiz+EkAB0RUJ+niKQAvnffjoor6U0+/iS6PNNJI7wS9lVqnHwHwEQBIksV/zczfR0T/FMB3I3pEPoQLVFHP3pDtojBZzOTKpIWblWJYcf2cvANRzKP7vyCIKhIa3BfEBqBM5c/K0YvU7D2bFGYa3GONSZIL84wkhVpzpidvv6scPkbAput7muKPa8Clz+2JBjx1hyzGy1AB7bGeyPnkdxuSnBfVykR91tq30ADDIouxmnfTTzS6sj7VhETkgc5lUT6pXmuTAq+YI1UZgncyr9WaxOjY7QfUS5UCsrrR3lO1sN8hwUH4GatkYQIK23uaFKde6TuLkZ5qJc/SXjA5PWyWbj+B9MeiYslIgJtDlQJsav9M1msWalOL1KgGRbkED/nC5nklhqxVq9bE6/m3XLwbu0cylsVWyYMD/FaQ4BvRwwBl/QiAnyei/x7A7wH4mTf8hfGGiOg60WhCW2XKVoJmZ9yfJj6ABpNly0C9GVBbhZ1oq75UKr5vu2zZvJisfwKmWppXKe+85Dv9AlBcv0YqVhuNExkWRlI0qpVvATbh0bYsgOjLC2VAzSnJ5neDAou2K2Oprq3jdoMy5zBjKZsIp5GNzYkTj0IRaZuh0SdO3p839TuYrFdK7RS0ox6h0ACr63GX9zsaV1KtSeI3/ESf0x0SNo/EhtvbOvHBxHK4jiSxkZ8Yr8ZG58/PWMR9CpoVS5I5z40KsFamHloNXR9mhPYoH0IkoQBuYKNW63Ni7Ea2ZRh7hSO1JwwKwovrXw8HYbweJlbGHGCDwr2JTRvZxvc2qSFCzPxbAH4rff4cgD//IJ470kgjXR66HHBvADl/hY08FMstU2HsyTqDjVS0iWr8IphivqGwvitQihQs5YHVWcr9wFTAzLPh0Xn1EJBXVcgW5oGB/Vbm9BcDKCmX7/aAkNUTUsu6Z4UcI6jY2JyqobReqielX5Ck79vsk1yvl4xV6m+1UeNot6sek2Fh4L8Ljyp5SVwPtCZnZ+5PaCFzNixYPBb5HUxvcqq8Fec5i/F+osFu7IB+X6dsci+L3U48M/2CsLYlFXJwVadSV3tEGi16AqyT56K7AjTJe2ENiZO7BD5Vw6diOqCSQKWSQGgNQCqd/PObjPVBfgYpaKvT1P7DQr0YobYeEKM+W49SUM9I6WnimIsFQGXS54GMBFZb4JiKocPciVG4OVEMSAGXd9BM3xekS8EsxGhMUHUjoEiwool2dYK4MuKWFcM2pOpJY0QtaQTFC2MHSd5L3iJB1TotGH8kpmFClfOGHuaQ0nWxYpb2Lfc9b+zpHY0DGOaQcnMIZWxBfukUSBLztsdUJI6d3EmDcUCfXbOm9KEwH0QduTKehmz993Mn1v/QsMZDeC3T11eA37X9iRs0I0X7HZ3U0Kqu7KeMsNZ5F1XNaam/zZWA0GomnGE/PfuuM5XWjXdqY2wNHmhua21JqwJurg+pP7WM2yJEuTIp933qIGLYuk3EnDufgVj1kjGYKvIWcSqp/Z05kGw8iFNbhQVZlV6L8z19oTYIUa9rhYLamZpTD3ZO7rfPlAhs5hij8yb4xRgbMtJII12ILoVkQTA+80yskgKxApuaU8KQMACuKzNri2EyQDh6jLrT60V91Fx2oAYogQWiRJPaNYZVrvRUCVD8A3n131ebEuQieA1TtHeY62cL8RYVwxTcdZ1iH1wP+HRy9AsVe6Oom4az0s+ra4RuXyc1nzrDnkd1kuV6NRC3tytJ4dfPCcMOS9/rdH3+KmOSRPxuTz0p66e7NEeNGFVnr6jM6ycmWrMykOpec3d0B3oK1yuAXol9bI81RqI5Y6yvqGqV14Trgck9lRpsCv9hoWJGxo5M7hC8UR/zfFPQlP3NGWHxik9znOfdYDI80JyqoTG/42qjnpEI/0/dImMcHUwslONCxRbDOZd7QoyaDck9FthHHrIvaGAj7apx2WKXYjW/0oj/RnQpmAUjimAEFcXYTtaWG0gW3hawJWPj2dkYBbNQbaOudBtVzf2h6zYGhKuop+YH5YVKrK46V1iklW9kr4GrAGSRfqF2mHoNWbz9Im4iAGg79Zi0JxzVKwCbq9YSzxIbUq2pdJdu8gI2dhhfYfZqFrU1/HtYMFyXRNcJi72h2w+glNh4eV1tD65T1zZuNNpm2pvtMWP1aGq/V1XIT/T9BeMej/1WFSePYxg0YS87EjctQNhcDem3Wija9cDkdnxmvQTmr8S++1ZtYIMpF+mnpUqyfDz1eQ2cXa/kepxHLlyemYlUHYv6F59nNryxU3ijVmRVpTgkzQJ1nsHD/YzD9co44pzgvue0t5dozibyW7GZWVcpR8/Pm4klG9WQkUYa6UJ0KSSLbNckb5irxTU45dBs4kRszsL7xCmBu7IxJhk5DJCkOJMjxlkycE5NJarQKIhqOwco5ZNpQmqcJDUYud70LScoMSdN1Znw8xBzbAJJTO8MiCZJMBFvkH67UhXAz1hUKz8jxUqYNO9kU74zsHo8idpHhM21JFFNAsJRNvKaOJG5AsOIFVZtI2VzJFC9Vk9HaPXkX7zkFE8xkJxuw9zkmQwwkpDCvSd3GetH4ufZTRbprtqot4UCwc/ixPppzF0q47gTx9QeQYo9+YmZj02EzOe5VywNSZxINvbWSxPD01npTkP9aWVEfShFA2R6XqvvMlRUGEel6NF668g/R10IJhwh9x8A3MkKrovips0lCiLByTBFCfKdBmW9aRIB1Jm+m5B8JhT5F4siwmHr2n1/QNUYm0jVATnJZ6gqTBdxRn07leS5oVHTvfNGfK5NWLo34cZqAigt2zlsPQDOhhGT8YbkTegheR6bM5ZN5meq+tQrwCWbBddOE7J6XQz1Uq389RoG1UjqXQAwuRFX2OaqXq+XGk7tZ2qfCSZE29bYsN4VG7dgg6vs+DKFljEkDwo3DM5o3Im6+zYHppRiFW0YQByPeEMGoD518jln4uoOgrTX7StD9q0CrpoTBWIBkLiZMLHvWNuXzGV9aVPLqgEH6POczpHzJAWKyawlAiPYBLykc2ntZegV3CXeOmOz4Arwe8nzszM9t0yCzTES52r0how00kgPgS6FZEFIagSZk4eRkdEpX2C6bA2QpPfAlUySLaxbLkI5q8mgxTVhZxaPzFuPezSnWllIsPuOBHDl+jJK1KpIZfr29G8WV03ynWpNAsSy8SBhpm3a2JBujwVMVa1IIl9DbU7+mgU3UZQlMLEN9RpYPhY/r570ciK7XrENXDl5Tn2iYdvtkam8tVNm2QJigeY8wmFGReEdMfKyjhvBoU2fqXeY3EuXjejsvEKdQx0Np7GT6uHxU2CTpKJm5SSDV3PkxMNjC+rUa8gxGZoyPYAWGWIMBjMDIGUs189ZygqVYjLcBrLGXM8iwVipywU1YsdIax2TjWXJ0gqx3u9JPV7sVDIgZiDN8XA4U5j7hqTPNABksSFGerkIXQpmkSmrIkCyX4gYhiLbjy1bZ5mL5MNggMVfpKUAmFiNG9lQkujodJaerxvabYwl2anbkzxLqnwypQBCS0WMiruPwZEwk2FRgqXEBWbVL5Mgtz1RewRgRGDz8kMLDKQqSd4o3Z4utvoUmCdvyPFc+1v1pt6GV1tJtgvkPksGpko3bq6UFmqdXj+BVm7vdBPaBLmFa9BD3ke/ACjNTXukG2KYKZq0OWOJc5jdBLq9hNqsWdQQ37IUYR5aoEl9D7W6PeOGSevDMBRboS1Tc6YbNTQA5eCxgCIuI7s2o21CvR6ixra6riIsIDHmlVFPWNUNW3PEZgizagsYQPJmwQ9l/Zb8Citd32+2gjowqiEjjTTSBelSSRaAgbKazFTWi8DGCBqqMvW+nOAMRf6wUUkCxNioVlVgcwCElGCT5gP63diJyT2I/75a6WlQ9zDcXbm0n6hFGmwEoNRktdYTzUJtu4N48gFJ/JUiyXpKCVR565n1UkPLYbwnfuZRpQALN2gU5wwOi5fS59ecqBCuAygZTdt7it3YeUmBUKHWE7Q7YMxupfuP1DCaPT8WaGYt9qHRdzksWIyUTMDui/HhzWkl4d+h0ecPpB6K9dRE+/Yad+FnQHcl/jG5Vcn7mN5RleDsScLxs2n+1iYNAAHT2/FztTYJdjOQrlLAVbUBbCLmPI+hJcl9avNr2iRJfqKqj82vGTEU6bMJDRiqsniyhYhLBrmZSoZhUolhszJJiqy66zr1Dl2ULgez4KRPAVJV24pelorKYKHMnyCPqwDJYcFGDamNGsLq6QABwzIrrppE1vUmu9LAGBoVL/PLrlcs1bEt0KpMl5aanAO8k5+n6EV3U5F7mysEl8OIe5P9uofks+h3uCx9mHJY1LXxUKydbI7pXQYlZrh8MmgAmIcsbD/TxLgxeEwBTJl51WvdOIAytRzfUa2hDHBfRV63MVnPTf0TN2heiX4P6OdO5lT1cuu6NCkPK63KNsx1ntojQp0LIJuNuDlQD8/krsb8tCfKANnMX2hI3MTZhjQsWJh2vVTGEUwm8CKXRCC4Dcsz8vtwvXqKfKOud+ehXg+DrrTq3XY2OJeZc0uoUqnGbr/eQjaX44gNoAA7XoRGNWSkkUa6EF0KyYJdFPeZTFYiRsHKBLhyTgxJJmu1RmO/yN/TFv7BWKE3qYFBxTZbB4Od+qjZWdFaMyA1pywnb7enhXazaFkvWfJD9nvA8XvT9xsS/EC1hubONAAfa+yc3CVsDlObZ2qVr++yVDPjirC5ksdJMq/NsZPQbj9VOLnzGnNjc6HO7gRsrsS5md0IIkVYLIYzCYmzQbHaxHvpspwAACAASURBVFqtQJQyXE5uu2Ex6PU7qpZtrhDufXlSBY04Xq9UMrPqRjQs34/vsGHsxFGlAoBhQTI3k3uMvS8Eucfn5DABonINc2MUTl4a3CSRckJrIoWhsTquL2t/lEluIP3N66Db1/orgCbOYaf9Cm0ZbaslLNQg6mcxk1kmiVfq1FPDNRdqMnkU++eN6FIwi2yTKFKMGZsCo3SZWrx9UcrNilVs7jHu1SJTVo4HqVVkrk8choP4oG6/NtmSVCXZjkmRYrkhxnAASYwVPTb9WyvDmdyBqEfdAWNI3gJn7CE2rd/qepBktX5i5maXwanI0PxVkmLH05vATtooy8fUM1Jt1C3pW92U/cLETiwIXUJfdgunSXhb0jB0NurBSldcjq0IDaPbV8YoXpeNqnB+pujM+StaDX52k6Wd9lhrpIRaPUhW/x7mOo7dFwP6zLB3Cc1S3Y+5n/b91WvGkFXAA81nsftSwN0viy8go2W7A10DIJb3Wi01xmKYM6Z3sp2JCzSwz+olaV9oIISJvnube0LUwq4EjgnzZC2qPExZgulWV7R84TA3B15VqjOuK9X6N6JRDRlppJEuRJdCsshksRXkDQyiMtgDQokjMX9YKUOj6yDSRBGeDoCyD7wHMEk5HI9qgCJbtolD/JTUYNmqWsQVBLxTrWKcCZABPvGe9SPx334XWgi4Vm9Ie0+jOfPzgXRKpfJ7e591mhWp15ydzSkwvRukvzkrWNWr4fX6xwaJqRgmTk6j5TWHvRfiUTbMHJa34wTuf6HHa18bj20/YS1MXKtBuV6qeLu+auZa1AEd0zCoejm5w1hdUw/P+tGkyphsZv2uAr6GKdSbZKqETe4xdl9USSFLd5M7PeYvx3d59L6ZqE1Wmuh3SAycw0xVR66Aoy9PatHNCrOb+i6BpGJJ+QHtLztg9hqnuVDJCRPV57iCUREh774+U1VM87qijHKGSt1skuhQULXT4jJssWUrbbuOFIxWM/ysnJc3okvBLBhGT7buT0Oy97dtFKZ2hDzPekOIUWT3Fi8JwF0ltzTTIf12IkCk5syEAxdgK1Uxqo1B1BkEpy3Tp1mt1JUWc1uoyzFTcyLaEbAg9DkR7IJx5ZNJ5JyRhkEDWF6Pg69Wqho0Z8DyMSf3W/IpI1VogD7ne2AWcFV9NqA5jcxicqSh8f1cPQSTe+q2ls0UgPXVbL8pN1O/kweu9hPyqvdHXT23A9QmoEs8ByYAbHOofZndDsIsVtcatMe5FCVrOsE9zQNh68P6GaR2CXm1DXQHLDafxYvq7RFvibGT+GlU9fJnAVNZwBeZWBPzHGLNZO4NWCsYz0wRlOgha931MKkFrYfOMAln7V4G9OWji/fNgLNGNWSkkUa6EL0lyYKIDhDrnH4VoizwVwB8GsA/AfAMgC8A+B5mvnuh5xkjp7VwFxKEyUEIVm4X60KkywayzRVrgWWrhgQCreMXzSmwPEoJe3ttikySXoQo2gMAevX3h8YkwgkAdvS65fRAzOaUpQk36OlrIbn9joqZ7ZEmAF4/SrjzVWkYHbC5Ho+pR5+6h9PVJI014NputGR+7jOPqTH1RiX4gOltFmnJeaBepVyXpwO6neynb8Si7wbG7KaTPudsU8dXtQhzxhvUK4WSh1pPveltiOrRnKnh00GNvMMMmN5K4vgTKjXY2h+uB9qTnKSItDj0sZf31B55dPtJjWxIs3ldISzfFcXD9soah7tJ3AOwaKOo8/mXH8H+frzuXMDuJF5/5ZkY894dT9C+mks/Etp7+j4EL8Jbp3UWcIMFX3GRRMhWJMtqU5Gr1IQ4FJD0SiXJ6W1VB0Oj6m61Jln/3ki7CAyu3lzym7eqhvwkgP+Lmb+biFoAcwA/CuA3mPnHiejDAD6MWEvk9YniIAIgu9+6LUkl1CKLd1EGbgusYrMhnws+mQSpu7c5rET2rzYmnJpNyrp1FGWBKO7ngCo3oKg1IanWGhIUpDxjAzQm+CmHk7dH6pKzY4lid9rkNzV71foRRnM3vrqbzb7YXnhdIaT7dx8/waSOA7/l9uESUKleuSI2Y/lIvD41nprQkurxx6TgsV4BbptDFUqz12azDzR5D5KmeWuPjTu6UluGdd31u5Dd4QZ995UJzBpm6t1ozgKGWezD5qCWPqwerTXr2J6qG6FheY7/4hw367n04YYEkhFWn48vYlgE3M19buPaqHd6dNfSvce1xL5Yjbk5Nm51MoAosybLTcqi4rIj4wJmrcYOc3Ayzt3gk3tBGLJNam0LGtnEvxY5elH6ktUQItoH8M1IRYSYuWPmewC+C7F6OjBWUR9ppH9j6K1IFs8CuAngHxHRVwP4GIAfBnCdmV9J97wK4PobPUjKFxrOZ6MQmaBWXJe8F4gWdFsV2tYcsRGaopYYlkwrB5ZoP+1Lc6bWcRsL4QZGSFJBBJAlsfpUM3ENU7Vot8cQbEMuL8iVCc8mAxFmTcxSL9l4Qwir68k6f81W4tWzzB3XRbHi4XYUmTct0D8TO3Dl8SP8W1dvAACee+81HJ3EU9U9P8P85XSae1fkNt19MSWrrRQ7sj50Iu7Haug630CMSs0qWdUZqehOQJ9UHCY90aq1YgMipNlIH1l1OwpFhqkcL9GcefltzOCl7/bkmfhv//QG169HXeHV56/C7cSF46kW0F59oxFpiCugS5XNeOJBSRprk+jhXmoQUhi/v9pjfRYH25wALkk89ToaaIEo2dgU/jaKVOdOVS4bsQqoFDVMVepjqOSymZGs7arT3KO7L3U4eTbeREZ19FMupDdnJPaL0FthFjWADwL468z8USL6SUSVQ4iZmeh82Md5VdTjF+m3xkUqdVCBBKySBrQtk4aPa0iMCdnyhY7VjVrDeEmA2X5UvIdZq5mIinL1QJ2LG4UI4AHiAssowfVVRYiurikDkKS0MxM4VUFenJ+oqjIsqLDJyLR0ZsEYnTjsDqCkQrXzDj7FgPjTFiEt5u7FBX77c9G0z5OA5iCOtT/06I81aE5CwSckng7nWbwX9dqETVck7tucHTtUqobUS0aX3Hrdjm4aWwOWKw2R9wt9V9Z2tbrqsHhNMy53i8R0nM61r43HZKolDttPTvAaoh7i1g6zL0TXy8FnPeYvx06HSQD1yW5z8xRhHl/E2bM7uPG1sYH+IH1/5CQB8NLVokYCpKApYmGoNo8IO0V2ul7tWaGhQpXOYf++NYmge5bgsSJL+JkCxlZXCavH4m/7Lyqazw0AVnleTcg8lwDAi9Bb8Ya8COBFZv5o+vsXEZnHa0T0OACkf2+c92Nm/mlm/jpm/rpqsXgL3RhppJHeDnorVdRfJaIvEtFXMPOnAXwrgD9K/30IwI/jglXUc9SpY3PqnBMXku8VuKv9jlFySbEm4XzuSSwJe6s1ENL9/cJYtg0P8xOS0669pyesrcLl51qvgQKwfLxs0g0Ge3FmvAjLsoMZF7G5aiSnmoFkaJv/SYv5q/G7a7/+MoYXX4rj2N8DHcaTNOzN0R/Gk/T4GcLyen4moXk0itr7T93D8Hic6KM/OBQ4+eJlE3NgTjh2ijupz1QVy2oKAsnpCUAyX/W7GllZSIA7EaSVZkxLRa5ZTuX1o6Q5SZdaXNg3Ok+uj7ElQMzW9a4Pxvl44XeexOzTUVJ49A97bFIi36NnK7z270ZdYbjWYfcwWlxPbh5i/+NRfH/iV1/B7r+Malz/lU8BAF7+ppmUIghtACeP2LDbY3Mcf9cdOUxSmLvr9d0OMyoMkFkay3/HZxLa05ytDCpaG1VBJAJEyHhWI9uTUCTCkap9K8AmlBLpLSRV8U1IFm/VG/LXAfxc8oR8DsB/nrr2C0T0gwCeB/A9b/iU5A2BDWwx1lrrDSk2f4AiBo3rFMEwnYZBm7w6rVwPCXpyPWPSxDe2rgDK2aCwldFIADuKMHSdio5WNC5jF7LOCIS02MjrM2qTK8NPYHT0WOwm31/dalI7wMmz8Z6TH3oXuHo6Pd9UQjd1PSZ3gOv/epP6UuHey9GneXSdMTwZr0+CqSfroGHyoIIhy+JyCqjqnLo/c/vVhiXQLGbH0us5wXEwsSmADRgD6hSc5zYKgLMqpRs0KGow6Qzau4QvfPwJAMD8DqFLqQhvfVWDnRfV45WD0KovtjjJQYQBOPqquBOXjz+GnRfi5Uc/FpnGE7+9wtGz0cBw8u4a05TPY/1ohWmSn7t9yFqNn9XGIyHqHjI3odH4js0BYXktqZFTSIb1as0atGYYQW+CG32rqRZdr+kNQ2tdszrXfhLfw9vmOmXm3wfwded89a1v5bkjjTTS5aPLAfemeCq6jopclOfRdnSq9ZLIPWwiNoklkan1M4MAlipkFULIHJ0xy6HVe3raDlNtq5upB4Q8iriOXCtjcluTz2Sjpuu170yqZnQHJNmuhh0vSUz8TgClxKKHH3fYfSkew/PP3MHL3xadTMdfZrwku4MKT50DpUxZq/f28NMojj/x/xxj9mq85fTdC7x0mCz9HzjCkObg6BO7WLyoxlzb5/x+2mOW6M5pUiXOntRjqt+lMrYmnYyT21R4XbIqYZPcDDOVupolq+RmcTWksSmra4zNk/EHsy+0aFOJxfkrjN3n429Xj2rEbHOiYfKr60CzH1+gHxxwO85Tf+ix/rL4Al+4HvWXJ39rjcNPRetpqBc4+vLU3x0vYhFXKkFwpaosG2+IBySGZ1iolCPJiFFGLfuJwv5jIt90k5G4h84aRAOaU5387YLLQAxZcMPbq4Y8MHIDAc6gJ7dAVoX+ZhaMWOezKoP4InJ9jlA5ZRA1q9vRk9Y6bQGXbRZ7QeIl6iXU9dVqW8OM4HNhn1btFotXWDrX72qyWC+l7Vj003qpi2FyF9h5Pt579nQl1czXU5asVnc/4HH67vi6ruw9KiHO7Z0KkzvxOe2JQ2sS0ebNfPquiVjKX/739zB/Nc7y9I7Htd+Ozzx67z66d8dN07QMP8v2HN1YhXu60feQvR7kIcFrWOr7sHVA/AxSl8VmmwJrSr7BZByLtVxVF1f1CFLZ3nWE6l4tz8xh7KtHtdo8WLN8+UO1E8xuEtYcf8DzgOkt1cWqz0UmcfZkHPRL3zzF7guxzdntAHw63nv333aiaoaJKQPZKJDOm9wW5IH6LKumpu7qrqbkC01K34jsTjfeEJOiIY9jMMjffqcqbXnQzxYk5idvDpg1xoaMNNJIF6JLIVlQ8oawwVDYwsgEqJ/efLZAF8eAN+JyyGXaalZxxZMU+XVLV8SKrDaJve8NWCcjE3lNlDvsaJam+pRgS9ptruiJmDMmTe6o90QSz6xJRHYmLcW3vhakWrpfBDnJq6XD3udj55/4lxu8+vXxBLz7lYSdF9Rfno2jd791jck0iuPLW3O0t2IH/CQgTLMkVOHk3XF8Z086HHwmDurgjwmvpULA3bUBTBl/oaedvoxkpJPQ7SSV7WyVTzQVu2Y3MnhIEwCzUxi4n6JI0DM5juM+ebrC5Ch+HqYkc9PtK2DN73hUJynO50TVyNUjGmlqYyrO3qVW1fZ2hSZ5geqzSt5xv884/N3U55WTcRy/J37/6O/pXDQnToF/TsP4ySu+xMYudbuqP5C3zzHV7TxE9fATUxy6geRcBesS3hyqh863mpOUPMrE0bmbCWPxZqJOLwWzyOQ87g9BRyn+wqm45VsjZZlcGNEHmx/CmnugYnAuWTjoSw0VsDlOukKvwla1MnkmWHXteqk1PSlA1Aabao0GZWSZhjmwrI3rKmeKXjtMErDr7AnNW+GnjJtfkzbHruZwi/UrdMFkUXv+sRlW1yIXc1PG4ovplsrh+H1Bfisl/fZUVZm/1mP3j+McnL47lJ6RvLdI22WnAWmSadwEfYUGGPbyuDXzFZPGmhQh3FWZz8HWHxEP02BSBjhICHnzaiU74vh9jINPQeY45xfpd0jUloNP1jh7OtmLHlEbEQ2EedqIy3d7bPY0hQEQVYesFq4PNMamXkHyYzSn0VYCRJCegO12GNObWS2lomZstldZkBpIQV0xPiatMa9MNRY6SuqPAabZFH42vN0C4mJ1dR7VkJFGGunB06WQLBjQMFzjrbAJcovPJgLPlsUT6SMQqlwx2wC6uA6oZpF1+4GkglPMaZlO/L4EIdn+ZE8HSC2x/W6QLE80AEPGZQSFCeeTa9gfBPPRnDg5aShoct8Yxh4/T29qMhY/1Qrm7THEGNjvMvY+n4yg74oGOyCm51+lCMn5q5rC3vUqrk7uajWs5fUGO6meyMn7B/jDFJFLE8FruA7qfWpIjHTZoxEqwO/l7zWdf5gFsEtGv5axfjRerzaaZDbmQdXrIkFAk/vUS8WR+AmheyIevXRWYfFCMkp/+T34z0VgWnOq4DLXs0QNX/nUgColPjp6X6VYhVlAtc6BK1oSQk5vUxjarsn2iHEWoR3oW2CeIqP2nvcyv0fvdZIflQaVDkCa/Mh5fcd+ZgyZ0M+uMykaCOhmOn9S0sAZw78zKnmlXhgaUvj6nzk1xHo7svhrLlncSKGSBHM/aQx/tBKrmK4FOB18BuC0AZjFN9AvjW5DwLAfr7uuUpx/D0xTXgeuIOX4iCF1QZnUzehbRpXriGZ3481aEr4Sm+SzHQRh6VtIsFlzyrj9wWRT+C2HfqGbJnsd2rsOIXt1KqDbz3q2iqWxHGFiqoMCeYg11dt6Snj09+Pma2426K8O9/WzMWUNyQDfZFP1yiyrjSnec1YJwKjbI4MOZWU+tSbD7Re68JtTdal2e+pVcX1kEkCM+8iqWIBulKpXphoaJxnR14eVBp4xiw0gNCTuy+q4EuaSAw2jqgS5N49j8aoyw3sfGNDtx0WwOagwv5EKOt3UdIL9LkuxpIjyTHYxMnY6A1aziamt14+dBu7Fh8V/+h0qVDcpPtSokYPd/eUZ34hGNWSkkUa6EF0OycKe/tnr0TJ8pWK6zZaUyXlIAWS3oej5QDxFwySH5rHEgMCxFo8NhPZqPDI2jziJOl2vF5IUx8+cVihvWE4455Xz+xbgBCkedlWmcxvS5Lnp5JgcaXKc9jTg/2PvTYMtu67zsG/tM93xTf1ezw2gCQIkAA4wSFEDHUuimViR45KVxCnbSiWRVeUMrlJFf2Kr8kP5ESdOxZXYqZSVKGWV7SrLsuxYsRzJNiVZlkRZJCWSEkEIxNxAz91vvuOZ9sqPPax1Gk3iAZRTT8ndVSjcvu/cM5991vANM999ICudlvkFivTwdGGx5/UhlxtJDF2boRRn82NR8KKWIpV9+EYq/JFfvY22cHFyNpV9bAspwM0vWNivuv0cvQUcnHfL1VsNak+xH76adwpwQcY/RDNk5U1X7IvbGKd4W78fcG/UwGi1mQJlDS0OH/e4iYUUR20mxUCyBA7XuBSrg+MqReYvcbrkWDHPpuIwn81brL/qrvdkt4/evtvRO9+eo3fgPg9uZZG3EtIsB2H3x7yGqLyVTZKYqhglLtSMgOlltzMbr7UofNdletFgedYXWDcsrNdEpVrg/WzwcDUtDQIkdEScbcS1oCPw2zn3ganb446w70nG6ZgsfBqiK+9US7jMKkvQDuqalARI6qHKGk5WzxchWJ01agjlJJSqCXUV8geKkwtZ0ctIFiqszhCpvtlUOiacGlHvzoA8IDiDUnVfAEzVNInhPSdys7sKtdQXyNsq1mOKYKbWEBY7PnQdcqyZ9HYJs4F8v/8Rt/zO53MhE6l2WXpkI3rw+HHg4AkR6e296c6NKYH5Va8D0VMgqkZy51DjSeeiQ+GOy59SJbSrOT9shFCVzpSV4bq62RPETtH8vNRwBreAcke6GGFfLm0d4fpVx9tee52io3o4dgCYXkiwOONO/vH7gJ0vhXNsUW74Cbx5e1vRJqKnkR8T7B0xLA0Eut59E8ljSSU6G+WagfGT+uCu5M/llol6E2QIrZ9obCb1GbLqXBeKJEZKunEuNpOtlVqe1nogK+nzg0r3JxmrNGQ1VmM1TjROR2Th0xA2Ekp1tAN1ISdBp8gVgFhtweBQ4LQUQ/+WNRdBRSu5BXn8PLWi9E9AjCxsxtGdjGoD8hyP/NgoGzsbuwVkhQfS5hxdvQLMODs2qNc8zqMwUfErm0u1u3ef0L/nQpX0qETvjgN0JH9kH/v7rio2eKWQdM1IkXLr9xoM7/iuQwocfo8Lbe5855mYbtR9isXR+Y5EN6axmHieSXsjQeUVofp3DJKhOzvlZoL+Xbf+pAEQJOyDfqh69dgCMbxr+to2T1KopidCMek8vHEBkBER5FaihmqrRXLGbXRZDWIBOV3IG39W5eg/7bjxs3ITO7/j9r0aGblOreAvsmOD4sgtM34tA/ubhawUbgMFv1qnqMLV5iIKlJQchYQHdwSw59i27nO5Tk45C57e78/H4A7FQmoz4BiZ1iPBCpGVwi6zdFLaQtKyZEkwyq0t1usZnWg8DJuh20U4wTgVkwWxO7GaKGRVlZesdBTc36SfGckzFvEh54QlNk44KmJRS5E8Rr02Ti5cmbg8ZzZKrpkJgcLsxRAP0qnbNgBgTrEbwRkiGrA/J/fAQMLDbOoEcxF+Hua2VCllDRi3v93dbRc/y7j6txxP+vbuFeBZf+OvifnQ6C1g4VuR850EPY927N0vcfySC8fzYytAHnWOG9Wea4cWZhk4DTLp2RxofSpkWO1nnyW8jecdcZCq6ySlTBBMkEmyoag2VZ4BwmzDiaQ71ZqgP3t3Eyz6bl+yygGdAKdh0Xpvj/m/OovFI24Do2cPMdlz/cri0Mb0oB4RFmeEOBjBYKT8TZdSK6l8O3i5w3F/k5Ji67vpAcYjg5OS0Xg3+Hoo6ZRN0CHWxZZ4K+lOftwl38VlU7n/6yFLp0+1XclK+qq7dXpbNlGI59ov8y5ap6s0ZDVWYzVONE5FZAFVqNGS/2GwQYdn8PUUOzQoKxZEFT6fVZTBy0QKmUwwS8FKYM1TlvsGqQdUmQqotjxQadvEdClZdt+ogSdCah8C/8HmUPsivzOlRFLFAcV1v/Vv9fD4T7mwZOfHfxPbn3wWALD74RSTq25Fi/Os8CUGua+m732oF6OJwycFh1BtMpqxW3586QDLF7xG5cLEc9/0FTt2BiC8pRREvTwjjMrAi7Cq4Gwe6OFTKKyljCYYRecCFmPDqP0b3DErKS4Tui7UAsZrhjq4vO9SsIgBrb3G6HlOzJk/NcEb3+5CoeXLfWy+5CX9l4K/GN1SmpkNY3rJRzcGWHzMnTQO7OHjDIPrbt2P/oM7aF97EwAw/5MfxyzwiaxEeg6W78/jXO5Pm6vCpAqCtQoWNSp9zqDlYiNGw6ZS3Abk2nTsMkwX3BWiYGJ/X67g3quxGqvx+z1OR2QBdHJ4wM28kQBDAALnv1Y9Z4sO2UxDPqMCtiKSkaVoGKPRn2ikDpLvJyjH/rT0LMxhiCzIKWzDFT4jhDajCFluegw7cjtUchql2cMbOCnlLdIMEHEhpiW0iS98JoRyJ+gwMt78k+41deYDm+jfcn3J8z/7Gi4MXTVrefUM7n7cvz0/ssCtK6qfmQaoJKHyMPPRtQSbn3XbPXhyE2c8xHt6SRCOnCjBngZIPFIyKSUHN7Uq5IWWspGIwpTUQdeGOkWi3oS8FCl7UwkuxfZYrVuQhjaTiCP8O1yPMGaXDc5+0W1s7x9exsgT946faHH7U5KgU89L/pdJRDVunT3AVs9FlddePYfR77hzXOz5YuicPWMUuPupcxg/4SzAFsoiwTQsBMGFwLfdxsK5k/ugHiisxARyzlKOBXVTazKfMpweyPmrtQaIktLT+i9kVeHTeoGhP3Bw7zBIzRcsB8ZGPfyJOmDttI5u6NWJmSJFHRJSG8QVUWVge0E1i2EmSWd9gAspmwAOSqVSbQctzIG7awe3CHPPEWjO1Gg8K5L8pMClQXHH+zlw91ij+pdKuQCKGIfl2QRkXfyZH7w/Utc3nz/Eo3/XSV/xPxmC5v5ObS248tyJPAcyt4Hq4gbmF7xV47GwDpMKMaS1kO85kQmADTo2BR17vXA6VRU+MIg55VjsdVL20j2KpyBBFE0GpMr/oOBy2Jd0jqg5WQ+F6k4tcPh45pdhnP8ld24u/nMCEl943B6h2vDXoWXkh+4cJ1MDzh0v/OkbbwJeXcxujPw+EmzP/W7vmT72P5jF45hf9GnNNUK1GQBX6Ex0EVDGpvMwV5u+C9U3sUDe5pIyaEi4qWVybgZq8iSZPJ0wL+Ly4XsmsQLglJGqwvNJxioNWY3VWI0TjdMVWTACbd+9TTRh7GGLm+5bLU6SnXCDOqFdRyVcFZY6Env+DcsszMnltmyAjTOcARzGYXneG+7uJlH/sS2zTjETCG06ab3psDRoYjABmccP5EdAueHToAYR+1BuW+x6X6aDpzaRTbbi4eZHYf3yRukdMpLKM2AXNhoIzS9QNDfWx6fPn01FV8HpJHA8B6H1XCuhIROV1CWVSaxSkU6ATh9VVfeiH2rKkakLSATCKWBNaJdSp6AX8CJNn2Ph8+gDwOLseXdeJoikrmwibNCmZ1Ct9f12+ph7VGjy0TFGd7zi+6Y3Wk4k9VpuCVEvnQPtwEemaRKJabpNnR/LOWUjqVOyILlnFKs1m5GgMElcxaiV44aVgmi66LZmI8kPiFGdO0aVSudft1fw0HF6Jgv9EIf/00P+rr7TKkO66mv1DZkyOFSDExYNztpEunh+aFC3Ul+IOTALXNimzhcEcA9BmFCG1wlt4SnoIxYnNF1PCZPClCIoC2SUsI7wRwCg9ttpBg7/AADZvmBBkoV0WJy2pPvY9qWjQI0AeaZXgNRjJXTYqQV63CQVOhaI10FbEmqgUrPZyGTr60AmtWCPN6j6ScRtmFIxTXsMzmXfw+BETeRFiyaXgocJEwcp/AAJrqC/y9GjRD/EpkZcZ7kBVONAkzdxAmz7Uh/p7VKsSdRrjL2PhS5M2F/JvdKZPMBgEwFihka9XQAAIABJREFUzUDR2BNgcVZUm4zqCAX5ApCJnJUOB6pEJxWM1HL9kmt1WqZwFqbreaPPsXZ9s/rleYLxTaUhRPQjRPQCEX2ViP4eEfWI6CoRfZ6IXiWiv+89RVZjNVbjD/h4z5EFEV0C8MMAnmbmBRH9DIA/DeB7AfzPzPzTRPS/AfghAD/+DVfGrlruxGzU14r8FAMOUl0ES93IQoviaBczPSU2IS60sYLdDAyaNaVhobQAoolRrbAfBNSjiCGP+oimUj1tFv3O7hDkYBPMeQYCGTcNCfOQIEbEpRCtikNgue0P44g6CtnhrRo8MAGAUiVyoiJ/WwBN6FKUsq/U6qIYOtLzgXjW9qXSzAG7ggSJLw6nC6hjQiSYtYWQwUwjOAROHToRAKz2p+218Zw5jQzBfEQznzVl+qRc34ySx++61UlobipC7dnC5YbDuQBA/x4BJNgJwHU2QuciWSIqbueHgtWwCWA9Yjc/kvPVDESIJykRIxE2kuZVa4w0lYJlRBUbVqhlSVmjmTgcYS08O0kJuedVhGtUB4GsvyfeRYHzm01DUgB9IqoBDADcBvApAH/W//1vA/hv8A6TBftKrg6xHlTE0jqQFipcDutIOHY6tHVAgHcDLlxm76VBs0ROqDphzVDo4sQEDrBcdbE4cZwCwOWrEZpuuq3FB8fwFkcOg00phvfllokPtxMJRlx3MMTVgq+tasctdzhOjNlEJpQAkQYcvDkAeTiRY7GZVNndRID4fbiBiYWiXW3a+KBDCSFnh16EpkK0QExKUZhqehT5FWafUQ8lp48SAKlMLvY4iWlWtWPBZ9zONMcZqA39QSBX4XsY/Xsc0zJ93NQi7m86lQklP2IUB8KnCddB+5gEq4X+fe6AB4M59vKMWA5wgmhxWBxShOU3PcR7UvvMtA/QGoQTI9cAEPYzWCZYPWwux5QsJd2wmWotk6rHGWG1nnS85zSEmW8C+KsA3oKbJI4AfBHAITOHR/sGgEvvdRursRqrcXrGN5OGbAL4PgBXARwC+AcAvudd/P7PA/jzAJBubCKCsh5S4LQZKzKYWol6o1CrPDl13qJmT7YEFB6MQwbJyM1ptclAAz+/zfMIuHJS7hxXGYRPLLPgAEAOgASfWoSUpFHFQE94aoYksvJKd9OmiNuszth4XOPXkxhnZjNRs24LSXFMKecpmwkIqNwUYRlTdyMFTUQKcv79Y44OX6QIR01foiVbcNQ2NUuKHYBQtbeJAKjawml8hu2EaAJMAkKqVBpiFFReuW5leylq/wY3tQDgbB4IfW7/QhTQqlSw2Je3p03RMWcO52y53ZWXC/ucVBIBheik2tAK2ozKSw/27qSxiN4WChK/qXAjfVVzn0vqWK1zTH1sCrAqosduiEqxtYYLKayLzRVhcaKWaQFKQiTHgt1o311UAXxzacinAbzBzPcBgIj+EYBPAtggotRHF5cB3HzYj5n5JwD8BAAUl70uOyECkkwlSDWbSoeClbMTGNIWtdIh4EJCZMc69Z9rAkKrtTJoZ75D0BBw6J7s/EgAM2xY0a9lPW5y8FXzsaQtSUmoB1IciFYD6+7Jq7M0Ars4YVQzaYuGh7l3N8HyvFvh9FELu+4ntLU0pgx2IN4R6UK6ITFFgLuRwuRCqiuQzYDenkyAgXHZSQFJHjiX/oTzatF4dapsN0XrW7mtr+wXayXKpTdvLhOEHK44ZPQOwkPAWGz7uk1GWHhFLjtqceUR5zQ8LXMc3HfgqP7rOdqeTxOGLeB1UOs1G1uOpoZzSIO7V0QGn5F74Zx8ypidD3+Q+yypuPNgNWFSM5LSxW5TT/Q6+8dAskz9OvRDK0K/+YHcw8lC8WVYrApNpejnRjmoQaQNtJhxm4t15oOWnW0U5lX1JysTL6san07LTjq+mW7IWwC+jYgGRERwZsi/B+BXAPz7fpn/GMA//ia2sRqrsRqnZLznyIKZP09E/xDAl+C0Y74MFyn8PICfJqL/1n/3N9/NekOIajOLNiho66otqY9WhVtWijdtgoj3hw63dOXXPPA3P3M3Q+4wXEVtWaU5Ck4bCnpx33yY14wt8gPPqdj3b1tChJWbpbA8TUWxuNi/zxh4AZtkCSzOuhNSrXPEQdTDLsMwsEupBVrvYpXOpchVjyTqWG4zEv/2zKZy/mwq4Tgnch04lfTLTBLYTS+xV3B81eS33crraSp4q/UmanOaVt6wbU4oN/11VQrW2f0UN7x3QbJdYue8kwM/urMtUU5jOm5fouIt7m42lTdpUjnBmvA5vM2rNUmFbC6FZmIpMHIqKWU6C9eDnCgNAJBEBNSKdCIgKYZ2i0tKEdFZbhEWnklrC47rtD2LfM/dM709Qu5V3pueMq9S3Y1gFOS+ly5TPUIH/NextiD1ICV4VziLb6obwsw/BuDHHvj6dQCfeDfrIfiT0Kh9t9QlIunUg+SHoTpNLaQt1ELaThkLoQoQgRziCBpKpxRBMs601t9gtdw8bcGi8KSEX9pchGCTEujfche73JLKeagv2AzgYHBbsJhAKzWotpCbwabA8LZHXpYGpXdBYyPGxZrWnJQM8mnO4qyQjNIZxVycWqDy6zG16qyQolMvpJORLMXxbHSDsDzjSWvbHFuc4RzZQev07AGgIdBjrihTPgYsrg/j9TBn/cx4ow/suFnEEoADt6J2r8Cub3HnLTC8IQHw6JY7HxPlHEctostZWyBORjaj2N1oC5lctDCPduwCo9OGjtfVf1ePgHwROkOCFE0WUtdJFzJBFLvi2lZumGj30AykFVrsGYy8c9z0sky2Nlf1nETJHCRAyDKSUiaRNpc0RxPG9GTAhtVk6x+Rd9E6XXFDVmM1VuNE41TAvRkQGnqY+RiKZg4pzDwAJIlh7wMgrADccn+kt3/OGNb7nratiV0Tm3GcrW0BBXQRH0rN6uNU2ITNUAFmVJ88WgIsAOOtCDqq09YVSgEH4okqzX3G6Lp/exci+caZ/FZjA9K5hMbpHJEDUo8l3UiV+VA9FvCacwGT44sU6qFEPf1di+Et/wbPDZpgehQUvU0Sf9e/a7C44Fe+XaK/F/r7hMWmPwcWMLdcaNOstTFtMhXBGl8c3RPjH5s5XgfQlaBrBuJjms0VoExJ2bW5CMWYSpYxtT43kk4kS0aVCh4EcNFLkNozJUUQ2fK8Rb7rU86lpHDlJkSpvREd0qSkjktYwLGYRhf4ZbtUCQDMprIeUtwQUwMIkU4phWtTq+j7gaed/99MQ36/hpoL4uikHoowppTN0aVJy0nkwsqEYlQa0kgglR6koqVQk1DUFQpS801MJQ9TqYBb2Ux0GFhpJWZH4qIefSQGHG+kZmyjOpdpAfuo97G4TMDEU5/XK+yddZ+zgyTWDrKJ4y4Avg3neRH1mkw6+aGE3encE8UAVCxpUf8+4kNm1AToOgRhduZYE+nvNeh98XUAwNZ4BLvuUov5FVcoWW4l2H/aLdvb5+gMn/ZqmMrNgOUmI81DnoVoNJzOUwz8RDS4bzG4HRBijHTXJe/zJ7bRDBJ/3rmrDRJrV4zh3fAG4ah0Vq0Tlmf8sWYCAMtmXSBUf9e/QHKKXaPlGUntgrNaOkd0a5+fTyLN3FRyg7Z9G13vzEEGOwg8nyS+VJqRtKybAcdamz02sXWaH9HDOxeqnW8aufdMLQRI0um8yiOYVKpywrFKQ1ZjNVbjRONURBYAJP3QqUf42KrMg7rLCqCG4qzM+veWOsAscRuTAiDYRI3IZCntFjboYPIj5boUPkE7UKbDjfT4s4mEo5FJ2Mi6qw2JivIjQnk9SEMJHDi504/VblML1sSozkzTl25Ib1eUn9u+vLE44fgG5wTxFdHmAKsQOAqilxSZltRKwXBxNsfa2hMAgHJskHt3s+DBmpQs8O0E8VibOgGrVKn0G7IjGw2K24Kx8AXAxbkEbeHADdWYsPGqi65sJh2kpJQis4Neu32YnxMejC5k9u9LGNr2JA2phy4Kir/1F7Bak8JmMDnScgemkfRheJORzj2NPZdipCkTtKGIviBg4XkzM+qqi8Viq1DgnQtZiO7UMo3gXmwm90Hbk5TEqeGHkFt1nXJIlBEsNd5FdHGqJgtO0QWN+GFquXk7P5H5AZYi2NKNMBFYSIUeAPKQK7LjN8BtN6YVx9KCcjed5H5LL3fXv2Ni7aHtyW+LA6kfmJqFz+KHTYXwtPaa3GycOKo74OoeoY5glbt7cYD48A/uipNY6Gy49Sjj4Cl1vDcChVv/Zrkt6dTwlkxq+YSjk1ZxbMVFPKModJvP5PhqDx7qHbbIj4KgLqPxZLsz4wV2H/Gp1SxFGmpFaiLu3yP0diXs79/zLdosx/ycO5B0IellPVTguQQwwTfkogIhJYiT+viNJLqGZTMBPLV5t70a1l8cyHmK7eVM1t3mCjVaKMUpq+QGSEv1dzUtwjnVADibSUs3/MYtpGpyFh26emxJq/paWyhFLIWq1S+rMFGslLJWYzVW4/d9nI7IgiFCNqq7EQsyzJ2uRBwkRU2bSVhKDUl0ZaRo5BYMcSxH0VbLkCjjIJfUQ/ehmSLPoNpQdOMlOdyF/0EoPDYDYVSGtzpZeRvNBwLE0jqJ2YQ7oJ6w/aQWuPJiR+Z4mwDNhl++lmp+tSY4AMekdZ/zIx+S+2MK+6uLxdQKl6MaJ9HBLCmdaC3gmaS1RGYAUA+M0OiPRe1qb3ccz3tSEtpGZJy0RmXAJDR9wmIni9+Hc10PjXR7SkbjK/6D+w3SuVtRNstjxyJZAvsfcvtQbghoz9TyRjY1JLVQEvrZTGjnISKp1iRaq8cCuyZWgkkAevfCsXLsYlRj5UWai34oWK4ZJ3IfkO6MNADX8tvQ6aszucfYqDSkkeiDDb5uqmHqr/+3h43TMVkQnNkwPRB6qXZpdEhXOgadbohW/SGo6rGEXkhZvEJKA9Sik9BuuCujb06wOGbZdVaSchTDy94eR6qyaTgSnaoNAd6EB7W/y/EmnV0kVP4h13wAMEnYr7xFbCah7uKcuHknSyXg2n8AmBMp2RTRlOU2Y+0V99utl9qYQpgGOHy/11hQ+heDezba67W5pEKu/Rgmw9C2tOh5UtT42hzlmuuWHCOPil+mBtoj98RlRyZ2QDgFBveCYEgmnBXl2MVGUp62QNyv6eUMW1/zaWEh9YCNV+boHbq2wHw7iTaP1booWOXHRtCOSxH+nZ8HWq/Ujpc8Bb8VXk09o8gZSZbSpq7WlTJ5CfT2bVx3eJjLTUk3GlXzymaISNRmJPePLUTHw7RiPl2POa7TkrTqdY1Di1fbXHgwLbn74t24qK/SkNVYjdU40TgVkYWKtlXRSiIFxzp1n7X3hhY9oVb628wMohCGqThLpSSark7THJSKFUBkDR5J2sMERP+RRtKJak1mZzYUQ/zikKJH5uKi287iEYv+9SweZ7npttkpUmYS/WTHovVZHCB6dY5fR6cyFd6YzUBCLZvG3XUerJOwHoomvkxA5UP2/j5HkZd6TejVbWE6+ItAC0+XVnQ1fRRQjhPMLvh0Z9pH6t/w2YTQBuUuRoz6kpJEEHkH6O2HuN5FKQBQrkkHRI90oQqQKbD/lBc1aoUlWm4MpZMBoH/frXP9msXksttWmwOmkELz5ovhmBx+AhCKerkpoCxqut2u6AE7lPSkGQJ1EElaANnMbb+3r1MrwXn09i2KQ4mcZhdEe/RhCnJgxaXKGdZHm63SSk2WsrwpKUboTtyHH3puv944FZNFMEIxFeSBbyUUNrUAnDQN22aSiwMPtFFj7YPlqWlJgFmGkfjJojlbw0QCGMN6nQtOUwn3K1knkTyr5abcHNWGXJh0Dozf9J2DY3fTTR81KM/IDBdIaBppaOYyMTovCF/lvyw5qc5DnYycD43HFuyl4AZ3KD4c/fs1lmfkxIWax70nW/DIrfRwkaB/w/19/XWLyiMuN15ZIp25ZarNAoszqd9nedDD5F2NKaJZJ5eTmE6tXbNIg0KZBYyvWQxvMPoHbh/nlwyO3udRkJXTonArV2CxhmF8uzabtOgdiL/L/gfdfi3O2zjBzx4Rk2JnJeivZQ1svejyweyoRL3uDuTecwUmV6R7EcL9wDsZ3HGmQABgWukk5VNGNQ71EOnStIVodCwyYBGtGgVMlc1EXHe5LXWx/AgRAGaLLkdJK6blHhjGSi0ehE4KLHUh4YaYyqVF+oX7TmOVhqzGaqzGicbpiCwAD9eWKEErArGRWVz7UTT9bhQVYdrKABmJhOaUW5l8FwnaxGMCpimsD5OzJYGzgPMnNYtz7J/XI47hIjUKVq1C42rdYv/DflsB4NQoVa2xjeFtMqeIm6AaCHro/bsSAmu1K5CE2pxIgXTtNRO7Fa3SZDx8fx6BVf1dgUmvv5Sg7SVx/QHqnJYW8747N7MLedyhbG477mQBixFwCjaTin+1JpiT/EjeSaYWsePFWYMsWDvO5VyXG1IUTmeSRjR9gvWuYoutJB7f+HqNjVdEcDmka8sdEVNuBtINKTcN8KSLJoqDIkYZgzsc978eE6Yfdt9PQ/RqCeRBVtSI3wfflmIvNQg6v07jNAgcsxQ+qe0CqHq74eQQ5ucE02LDNVZcJ1MKlqbtiZ2iwyK579OFRGNap5b4gWeEqEObeqdxOiYLdidfi9KKWKk7QC3XplW248PfKETm25S9JaSN6+y3XT0LD7JiIPqhtn05mbZn0fQFjbf04WW6JJT+gjUlFG1ZcUxCitEootleElun1EhomU8Zyy15+GJuO5KuR9uTi+6Qfn49rdQgQOKT0QyBylPwlzvA+A1fvziyaAK3oAKKQ3eS+zenqIZu1jOtdCDqQSJAMiVoGzo8WsYuWSBO0tWmVO3zQ4oTQTPguO58AqQL37FZF2p5PSLUa1KH0SZKgbOxdo3R33U3THFoInCMXybsf9BNCuUWJMVVsoHLHeDQ27oXR4zRTfeH4s4E1ZdGfj/9vWGEvDa9YDp2gYhtVESX+GYg7ev8UNLqMCEBrqVKMbVBVHY3jcguNgNJoXRaZiqpWWSzLoEupDmcSkrS5irtoC7w8SRjlYasxmqsxonG6YgsyKch7QOMz/B37oZTMYLwvwU8czP+QwAtrfagsKRaKQruXdgID08XBD7yGP65iiyaJEYm6UTxD1gAMGFfAQ+W8ftg2wC9lcVaJbDa2xUYtWlURyNXClc7ojlJbRc6HCvxfQmHqzWoArGAd2wi6cH4ppzHNidMvAN7PVqPEUQzkHTDhcNu+eKA0froL0CnASkKwihB4lxVhLmr7hRSGDZCdc8n0nVoBlL8rcddAd7wqtt/qoiALrKiSFUctegdKOqyH+Umom+ITRmLs26dyzOEySPuD4PbOWYXZd/cvnC0H2h6wskBgP6ex5E0HLky87OExQXPnxnLsnZgo8saZ4x04ouwE9XRM3KrmhpoA6W+lVOZzinaDrAqhldjeY4c3iZgNDjenzbt3o8nGadjsgAAJu9dKlXcwPUg9YyDlAo1oyNaGk1vDIMQagDSLkJjhCeiSEHUEmjows9y24BHgdSRCQ6/VYKoKaFRQB6Nz49tM2UqEzgQ6YLUwyYP7fyS1BGqIyMPueoKFAeic0EMZEHwtQGmvoK/OCtIwnqNMXrTd0buWWQvh/Bd+BXJ0qIc535/KSpxTa5KOgUrNRFt4FMPBSQWBW0L6qSPovTE0erP1FohW9bXDNHxSAkjnbk6CwBUC5m8qw1Jf5xloExYEThWc2zBFoctertL/3eDwycH8TjC+ZhflHTQJhS7IMO7bh1NXzgXy03xejl+XLaZTcUa0V0naX/GNDI3EbVpM8RWsgZI1SOHwgVcJy7cQ9woXRWL6Lre32UMb3vl+gRYnAkEPceXceeYkU4kzUnnq27IaqzGavxrGKcisiD2+HgrqUTHwFcVkBhqBrbddcQOiLJ740yAWKbXiNWeFcwFW/VbvR4lhJPvExKP888mUqis1xh1YAqShPuwiJ2P6KzWKB4JS1W7f0cwC8UBI1tIOBkhyhtS9HUCr/IWjsXRids3AKjWTHwzJiVjds4tZBoTWa35RDlsWYEyl1aiJWoFzt0WQOXfoEnJyKcSXQGugxDW3RZSfNPRRLKUKMBmHGHSyaIrQhx5FxaRm1KNCGkpEVXonqVzllSIESOkZpCIu9uSUXn4+eBeFen1+RTI/GeyaVxPPQIW530nI3SMKsfCBVznaPNlj8cxksI1fWBx3keSc0krbMLg6JTGyCaSUpoAy18K4zibqvROZ3EGsL1wXQmL97mbYvmkxf6xF0o6NtGyYO1NG4Wey02D5Rm3nmrDuiL8uwgXTsVkoSGcIZjkRKUkNak/qHqBUvdmQuehfFhdg5lAiTysEd1pKE4iSGVysYUF1twNsUwyxVEwMb9OlgKisjmL52YqFfdwsXp7HG98sow26E0YYPKYz5t3pMWXTpUd4R1Rr8oPKbqlp3NgeDs8tI5UBTjSVbBKJMuY9CUsDe3EOYu9nqkYa9fdbyecos1Dx4QxvOXtA4cJGt9SXW6r+lIiD6qm5QfVLhigGXu0bJNI2J1KekJW5dmKD2JTmZiJhRafTxnFoTs583OZ/LaRDkS9JmnO8gxhHmoTm0W8J7IpkB+7fVu/1qDccD/Ij9tYewjnYrllMD8rD3k1dhfe1FKzyI8azPcEpTu95CfGoWunAwD3LNqQ3lqAJtL9Ci8NU0sNp+lLGs4ZC5elIvTecjOyNmyqNizypx2i695HCthd94f+XcLa6/7ezqlT1zrJeMd5hYh+kojuEdFX1XdbRPSLRPSK//+m/56I6H/xDupfIaLnTr4rq7Eaq3Gax0kii78F4H8F8HfUd38JwC8z818hor/k//0XAfzbAJ7w/30rnCHyt77jFsi/AVi6GARVqFIy/9p6Tvecob5230kIF4qa3KpoopXCFgxgPDfEmgQovc7jxKBp3FtieNN0bAfCG65akwjIZvLWrscsb1Y/Zpd1j5zQBif2VrQdhzclNEwXDOvf2m2fYlHT5vK25QQRl+F8QDznQVkKJFUXBBTEgm2mOQdK9HbKqDzHY7FDAHvxmaWNdG2bEZgkMgojQJehwmVYAN7JrN6kaFadjBrUdeGPVdI2NoqJ25P1tz1J1ypLsJmHnpMA3/p7VsRqW4pdFTCiyXW1IRFbtQY0g0z2wdPuJ1fSmIr199yJ7B20setSjRMsNwOOhTB9xPt93E9i5yM/4ngcTrzILVOtJ0LrH3KUCeAFxahLm18Dcs1ojpgOJyUw992W/EA4PP07BtWxx8lkQLvh/rB8usT8UQ9ErAyG15MuqvEdxjtOFsz8a0T02ANffx+A7/Kf/zaAfwk3WXwfgL/DzAzgc0S0QUQXmPn2N9wGoRNauS/VQ9ixipcJhZNubSOGarp7olIcMERBC+jQ1W2h7ng/cZgqBfrS9qw2Q7dFRG9Bkvezcai4sJ8R/38sFehwE4zf5IheLNcpgpPSOUe0ZZ2oyncj8nZtIRoI6UzATKYWUlk1Fo9Vm0irtX+PO+i+sN1kyajH/oY/bMWbFNJtSRcJkoW0KCMIKBw/OZnB8NkO3IaK2xnMvgc+HSDmBtNHUlg/YdZbNdr7bhlt3GQzdISPgyIWgKhnYXNJFUwD9PbdTHD8SB7tC+sRKdVt6VS5lqNPuQ5lksqmjMXZoB/idqBa49hybQuO7e5ilzC+5u/fmiOEs2NSZaVr5M63+386k3tbu6Pr+9oa9ZJpAfK/zY+Ek5KUiGZFSUmic2GB4bXwAkk7iOTpY01HNvKdxnvthpxTE8AdAOf850sArqvlVi7qq7Ea/x8Z33SBk5mZ6N2KiqPjop5sbkq1V4dFwVVM8Ts4FVHYjkCOXrcSfgEJRNcBM0JlyyL14iZtlQj0O7egxNOjz7RItl0suqyFiKLXr2nWgEQR+VHXZyT8LrzdDj/oQsfw/eKcjetrhiKYoi0Fcy8sk82Erp5ULjIBgGZLKS1ZWb4tJJQ3DSJFvelTBFzZjGJY3Z5NhMegIggs5I2nDXfrAF9m2U46I7TzAG5D5zgy30UZvwk0vvC63DaovSt5hbTDyI04j5qj4I3jesj5Def6+NEE/fu+oHxkHcUdwMbrDSaXpMgbxYTXOAoZLXacH4nblqR9oSg9vg7kRwESP8Hd79gEABw9abH0HZD1FxMM7rXxHNUeKm5TiSaymduWO+/qfoYUNU3ZLT6GqKEh6SYVR/JbJuFWNUOxnGgLsXZMSomI3fGlUaj6JOO9ThZ3Q3pBRBcA3PPf3wRwRS13Ihf13uUrHAgyUvUFEB4ySC7HiTz8nLF4f5SSeySlVNbTmTy06dJEYtLoVgubuxWZiiOPohpTVJmmBljAzQRUKHWquVCxAVHTanuMUonISrtLgGbRh3MuXZ10IRZ9TV/RkXsCohneJvR8xX3yqIkIS7d+/0FJqzUjjr4Wo5daLDf9g7uwsUvS9BRfYSAO4lp2LpvKzaYn8nokD2vw4yClYtbbZZhGwvEIVkshqtUsgKv8GKh8F2F22cZaQz1mTC/LfgXDoWQpfAnt11IPgaPHgwKasl68ZbH9u+6gzv/aAvWOK67sPtOPNYa2L6haKqR1maluxfSSW3d/exNbL7n1jW6nOLrqDvDwIw0ms4DsIhR+wu7tskKW2uh/YhOKHSF3fmWSjK9gViefGIsrXjJgQxbq3zVxAlx/FbE1zATpAm2RtHIzf2HeRc3ivaYhPwfnkA50ndJ/DsB/5Lsi3wbg6J3qFauxGqvxB2O8Y2RBRH8Prpi5TUQ34IyQ/wqAnyGiHwLwJoD/wC/+CwC+F8CrAOYAfvAkO8FwM2mbQGEZ0IHBBrs3bYxsKtEmLPYozty9AxuXaTPC7KKbE48/0ODiY44PfGF8iPM9V/V7/uAibu86Qcx6noNC+HxsxHpwSSIool6xbV80FJ3fhj9vqmOiuRO6UCt0bo6hZTYDeq8iru/wSfd5cVbbFcNKAAAgAElEQVS2k86Ea6BNmtkAw1vuH/37alsNR24BG9GctImcM215V24ASYClHzLyw3CsFJexuQgPRd3PWjoOzZDQvxvOl+NSAF5jUp2DoKxVHErhNSnFP4NJ1m9zxIgjXXCMkOpcrCJMI9ESGJhdCsXfDNV6KKAOcOZFlxOsv1FjelGwI4HVygmhOPJM3S0PaKsBhMitD9z9mNvJwT3G5ivuD9lUiojZnCPO4vhxiRS2vkoY3vSF3SFF9qxV9gJsAIS0ZSqcGKf/GnJNcaYDpKB9+MdnqI5cRNy7mWHtDR+9TWwUPjKNezbejWAvMb+Lpf81jeLyFb78wz/iCGABjJNJfSE/FkTh+mttrHbbzODwfe7EHb+fUVx18MXLG0f40MYtAMAbszN4bX8bADA5HIA9FT3bS9F4TwnOLbYuuN7losyx2HVl6/QokY5Mj8G+up/dyTo3dsjp276cS1MrBCfJ38MDX69ZmXxqwui6269iX7orvUOLaiSh/Nob7u5pC4PJFXfjzy4SCt92bfrAyN+ETY9ipRxGAXbWWDoWCWP4VgAhiar4clt4KC7c9+sfSReh2mlg/KQadD6GtwhJQFuuScoFhrh9Z4hye9SouscYGNyWzlN4gGaPtNAmUcWeTzEquVfaDPEcFIcW5brwMZZb/hRoGTy13dF1i9FN11panM1x8KSvMeSM8TW3TNAISUqO6d/8nIkT4OCOqMzrF0NxyBjc80C3Syn2vsPdt0mvRestKnu3Uqz5TsrgXhMRrfOdJHahiMVPN5kL/0en28WBnI9qDMwfddvtnVlEjlV51EN+z91cvV3C4I7FV//ZX8Ns7/qJkpEVN2Q1VmM1TjROR2Rx5Qpf+pH/ElYZ1qYziliC/l3BHlQbDPuEaOfXU6/itJt2xHXLs25mNaMatgqEhW7YRR4ohKMMZmcZvw/Q7+R6L3Y3QNotncXusFT075wjtp+Vj0Q4pvA3wMN556GyL2Hm+mvK1LbxfXu4zkXEEtQc386TKxTD9GQpb8x0zvHtDKn9OoBW9BaR5ZMSsYBarVEsajoPEX+u1yVVaAtJQ6LJ8NT5ngBAvdZloIpbFqIbPBQOgRM5P8Uhx67A9JLI89ebFsX9AJiTfW8VcCvwWwCHvYjF8ESlbkOJkEyl4Pj3OXJPppdMvA4h1O/fJQxvBdHdBgdPBrAaKzCV6r6pVLq3zyD/rE0eMVHEmRNGvuUuZr1MsfbbLlwZ32iRLL2i2HaKoyfC/sr5CMA8AN5O0R/fgNHbD5VMZx0BOAGnwMCmYQOepbjz3/11lG/eOFFkcSq4IWSBdGYwvCnY/3ITmD7mTmj17ALnN12Kcf3NbeDYx5NMSCbilSn8AMSbyh4k6CkvD1x2d6FtCVnheRSHGcw1d6b79wml9/OwuXAXmiFHHwmqjXiIZF3fyli/UDaIRj0c2nIvEL3697tWeVoVrPH8BCZXtwBcWHrmeXcjjW6YCKCqx4iK4rwjqRtYtBdsrvQeDjXwSMRtqzWOSMV0pvw3S6nbZBMT12miroWE4R1R4Vrs+pKKIrCKDcXY1qYA+etXrQkVfXxdgEeTnoktRJCcd91iXGzLcadzxsBT/E0rE+b8rIkTh1NZ9+u0FD1CN19p0LvrVnT/Oe8Wf56x3HZ/H72VYXzTIzvvVyi9IPJiM0F/3wtB903cd06cuhbgrkXyeuhOMZZnHNfdPj3H6I/fAQDsToZoXnPfb70AnP2SW+fgzRkaLzC82MmiyLFpJA3OlE9MfkTR57btGwETmtQhjO2J5gn3kxMvuRqrsRr/vx6nIrIIcO/Dpxi256HWCxMVhMz+CDfXXdHR2C4UNrxdbC5vvXxuhL6eMZbbvpCZAHzo05atJcp9H7eNGvCWW2aWFXE96UL0Ik2JCFMGJEKgVlklsqgVORl/xO2G/weshvMe8eueilCsTZXeIolgrWkE+1CtUwT7sPEKSHBw5ZB69G8z5udDp0jRvI2W8BeORDYjZB4S7hzb1TkuZf9DqmcqdLwsAPeGj8I2iWPeAv5SkMKFJHJ8Wj80RB/VOillKYpdj94uxUIpWCKapERcphrL8QXrQMBFFgEWn005wt+JhRlqWrlm0/MJyrG75wKjtLcPLLZDJAZMH3Gf117vRSCWzYD9p7zi2JhR+HRg/FaL0U0Tz83hB9x28iOKfi3mKwMcV16U56IF+3Tj/rcwOAD1DsZY945y2787Q383UOMTNP3MfxbvG91pc+feb6sGRtdU9HmCcSomCySMZqMF1RRrAXZgkXhCly0YxufFGvjT9iX1yI8oPojNECh3fCy/XoNnYl5DwYjl1iCGvelBgnrTX2yd1x0nEdSTHxJaXwlvc+FAANINSBeSN3LiWpyA8DjaQnlRHHEEi+VTG5GMbCRN6CAvW+kZm0p4Iulc6gj9fQtqjV+niOHWa063AXAPSgBfaQJYNpWqv0Oa+t8OIdyFXGTl0oU8WAGRaRoBAzU9ip0DamVi0bICbSEPtqncOQFkEg0j/DY/YlSQlFKrmAXNjeJIHOCXm1J7qTPZrk2li7D5UgXAHUg9EBCXTSm+lcL2mz5FGj/eQgRiTR5jLLfc543XWpx53r3BFud7uP+s29CdT1I0aDr7RYuzXwr9bovpZbdMucVRMsCph/v7rWAEoGVxdYKnvsPhHJ+/dwHHd1yOeO7XDa58xs2AtGwwfcLlteW6we7HQvpMyIJYcubup3cjrbdKQ1ZjNVbjRONURBbUEIp7SYdW7f7g/seE+HazqgpvlgJfrdc46hTmhwJ9JeLI++DCgoMIS2qRZu5zfVyImtYsjbqeZJWwTSr08+JARGNshihEwwliCqPp6f27boW9+xwFavMJR54BCBjeCduUtMImFD8vN5KoTAWSN2C1pkBOLWPuQU79r1qxIKhc4Q/wClNRgFbxLiqOMHOrugiAREY6lahHKg1hWXd4/7S5SrNqUcTqpJCl8BnqEVBPZf0Bw1As5ZxlE4F721y6AjAUoeXZVEBqZMV3pR5zLP4WB8IAPbqaYXjPp6nGxHOQT6SwGiKe/Jgx99qWSe0g5ICzqgw6l3e/xWBwyW20v2ex/by7xvNtg+l3upN980oC8izc879JuPSZPQDA8VMb0YbRGX2H80fo3fNR9v11/NbX1uI57j3mwpW7n86x/2GXuzUji/WvueW3f3eBM192kc79j29gclWiVh3lnWSciski6Fl0CGPK26HtKZTkQui36QJYbvtuxVobH5qaEWXL7LIndQSYCFCxiyTqISTHSWxdUivu2eU5RuqtB/MDiu0omwrAR2tqMAG9QGLalXpAuMHJivybTSTUL9cSaS32VCicdygBEWw0vGtjqH3mhSX2nnZP1uxcElOb23+YMLrmz8cYsTpuGsTwPT+SVKIthMLNRkncNdK1aQYS7icVY3qpG8O2ik+RaCKUapGahmMLOKnE/9PURlnrAYOjkFbYSO4CpPYyuA/MzrrtL84pLw6m2G5OKo5grdlFkfxbbku4P30UCBNcNoNIBZYc5RJqdc3C320KLHx9qLfPGHhSQ7Kk2KqcPQL077qNXvm/d9H+jrtOi/Mp7v1Zl6P+qR/7dfz13/w0AGDzi+Iqb2oTrxkYsfZBDGAarh9jse8mCHpqifayu2jDYYlnP+7I37/1qUcw/FnX3tt8eYnNl0J3L8XBk3lH2eydxioNWY3VWI0TjdMRWTDehlHX6YiTLfcRR8pYXnKv7PxuKozA3IjuppUwuu3bh0+JuUXS9xT1hJH23BTb7BZAgNMeJK4LAni7Pr/6XIqX9VhoxUxS0U+XiHTq8P/+LsfwtxoTyMeAy22K2+nvWXnzlgJUspnTiASAo/elkcNw8IEirnN8Qyjcg1siVW8UNJpa6cc3jYTymfJCSaeSCjGJZUE9FPxDfx+RjxEdyQ5ZoNYsHQonyuO3r+j9NkVMKcmyAo5J6pGUonZFrXQjBvdt5G40AyN4jULYs80Awmvpua4QADQj2YdsQjFVaQvXUQKAui+gwIgXaTliWpgUfoYQwVy0D/S9HWE9IBx8wq3kjf42BnfcMltfW+LRv+qW+Yk/9r149N9w1IRbw3XQ6+5iDm4DG6+4nWxzwtHjUpTWhuEh0uv/WhF9Tqq8h89/0UUTw2/bxez7XeHz3r1hzAO3vpji/GePcG16cluyVWSxGquxGicapyOyoIBcFOMam3Fsc4KhkIOE5sj3sbcs2Ncm0gmhVbJlIRezNYGDLcCgFZMhAtqpr1lMxSCYWgIduu+LXdPx8wxtpvJ9SzR3Xc/PVFLIS5bS0iwB9O/LmxVwb8/RDffd4QeA+iC8DgH2OffxVdPpfYcCVLJA1KRYf6PBwn9uc2GOHr5fUJX1SOoRNhNNht4uY+oVR5xPquA+Yh0Gqt5AEjmYWlrVdZ+iHF1sX08VE3Qofy+OOEYhYCgdT4GSJyXiGzxZiiOZHtlcSHZNj2KrNz+WAmrbk0ivLVw9AXC1lIC4tHkSt5vNBa9RbgnJLV2gw3wNy6Yegl0PTKyTmEaU1+shYt2oOGZs/LY7qfUasP+HfCRb9LH+ulto58sNju9fcMexTpg/43ZgetUCn/VRxv023jflpiCMs6kUtOsRxyK9TRBrKAdHQ/A9d6+ObxhMnnEH+9wPfQW/9OwzKP/7k8cLp2KyYAg8OGoNKlUOakQgxCpz12zfREo0Z4KVbwbcAf6ESYczUiQJBvk0xFYC3x6/lcSq+fAWY3LV9+x3GL09X1i9VQhnBOgCW/zXvT2OClYBDFSPkgjr3nxRujemRhTcyQ854jk0z6HcoFjc2/1QGm8e08iD4gRn3PL9+4xyw3dhDmz8vtivkc3cSdNGudncYnFGMBoRI8GIrl7EontpWgAe2BTFejK5fumcOz18YRPLRG4E4tDxP0kqVv4jIl6UzQVHotedLsX1zbSyD8WhEj+eiw3j8LZFuSbXL4CubJqI293MxkJzOI+LbeoUqwMnhlpJyUwlhWJaSEEWIAzedI/b9BGLmcdWXP4XDc599gAAMPngOi58zi3/6g9k2P73XJHy+mevdDRUA1aHU+GtZEcU9UETFvrA5i/3sPsJd0KGn76P5J84BczffPmjGH7iCCY7uRfAKg1ZjdVYjRONUxFZkP+Pwz+Aru9pQyITr/v/JaEOQi6pIPo0jJhzBvvchgoLrj2EvGhhPUI0f8BfNIjDLM5K4TGrSXr/B4JtaHNg6QlewxuCy6gHhNFtGz8DwPHjHFF59UBap6biyNbU6EWbSirRv29RHLhXbDbNBRo9NjGsb3pirmQzeatqNOV8p4hy9zalSBgzLUWvUa2OzgnQ9IJWqEQcHQnEaGbdjbb02z+E+jYXfEZSCmpUnyeyggrlcHPAhf7RGiFXojiJYqCqAmB+LN6l2ZwxveyLo7dZfpuKTmY+ETSsPjcRUavSJkBS5kUmuB6bIUaGgKSgScVO2RxANjOYX3Q/uPWHUwxuOdGN3oFFPXIn57H/k3Htuy8DAJorFUp/TOVmhsEdt/7NFxYwlbspDz/AMbI2jWiQlBuE7S+4C7F3cBb1c+5CmGmK8b9cB01ODuE8FZNFGMRS/dfuz0yqml+iI8cuhslSWU+EwQ42KrcuJfVI3+gh8yd3eJMjVv/wuQr5yJ3Q+c0B0oXgJmKHhqVD0Ntn9F/xmIDDOtKWJ49bHH6Lu1OKt9wO54ca2IXIvszmUC7gkpe3GaF3ELoeBvZNb0+noNzFoUjSm0aFw42cs6Tk+FCW6xSxAnVf4x8QhWt0nYJYKv1JaWMHx6YE47cbJhmrXNhMy1FVyiaE1B9r21Knw6MNgmNth12+H86Bxk0YJTwceQ4N4sOaLoHlhu8I3Wsxu+AW2ni1xOy85wUtLLJb3ktjK43gJ7f/fuLty8QU6jBJJWlYqbxHklZ0SkEyobS5WqaUa0MtMLglNY7lWbfM4jxh7GX7Rzdr7HzZb7dOcOcTnofy7B5Ghbs4t9YuYe0NdwEv/nqL5Za3WLhiUJ7z9ZGBER+VChi/6M4BJ8DRM3VHsOmdxioNWY3VWI0TjVMVWTAhTl9NIajNoM8JhEKYeqMp/HA0Q05kmXYsQgZm2MDccGFb22e071v67fYFPl0a1HNX5k5LwSFQQzh+0s3W49eT+OZd7FDsLpx5XvQXTUkgb5qTzcJ36i2cSeFzfl7i/uKAnQsYgPU3bFxf/55EEG3PRPcwThGdwcgCNvVFzUPb6RyENxwT4hvTKIJXm1FHdyNch1apcdvESNehEAZqiO5soVKPStIgx4xFHLHjlUBIgZmE9W0umA9OABvzHZVeGopiMjaVqK9RSt/luolFzcmVIuqQNr0Ey3UP2664k0ZpbYzY+RlIeB8iwN4BOloVIbIpDi2YgjSfOtYUMOE6tdyByItJE2H/wx5bUWQRM7PxWovzX3DfT9/axpsf8PD0R2uUH/Lany8NsPk19/328zVurXm3tlTMsUyJaIyclIStL6W4P3971+nrjVMxWXBonVpE+f9kKTePYy2qbkjgehjEk06K86BZjmCKtYz+8/1Icd58kbH2nzoHgz/y4Vfxk89/h/vtbgFe8xfgVhG7KtmMsfGCr8SnwNaL0gK5+Z1uUrj7ScbghvsuP3q7QzWniDdVM5Dc1tSy79mMYw3i6KqJXQ+bSPje37WohuGhFQo3SMBUTSGeIACUEI/Ql8N5BxxcWqwJOJ77dKlVrqRWYxMglCg0W1XbBUSbgR7FSUZ/D0I0h9YpqBbOcSbJalLwEwQxd9IsTb0OaScg/ipSa3At7tCxSGq1n4VMpEnN0aA6psasnM9aSdvKTblXcSzdlfmOQbXpv1fSCs1AjslR7T2Y6tESJncPwOJwIOC5QlTSeocW+W+Hl0OC3WfdxXnm0y/jxre6nurBZ85i6wUb93NyJYD/uMPNmTzabZe/01ilIauxGqtxonESK4CfBPDvALjHzB/y3/2PAP4EgArAawB+kJkP/d9+FMAPwcUIP8zM//wd94LhgEmQ2ZcsOhDwEPLaVJZxaUsoGon4jXNVdh/NwmD9Jffbg4/VIK/ufXeDsHffxWSv3j4LW4eGPAML9yqp1xj1liuzb33NYHI5OGwx9p4Ohr7Sb+/dTVQ1XSr02lErdBM4AbT86eyK++HaNeDoqttOf1eKnaaVyr5NRcfS5hIpgKWbkrJI4+kw2Wk5SBE0DLLy204oriIFLfnXXSYU97jTEYmRnlrWwbologpvWE5EDdymJG9elTYRA4zwmeMxsZF94EQXTUWf1CykQ2BaoInYEGH2mgYxLQrbBCRNqAtJI5OSY+HQQfvdMrOLBj1vnDS+0eLQg/2c/oZbpjggJXYkN8GZX8ux96y3H7jQRMnI6WUlYdgiplPjGw1G192BvHT/SQy/y0XKV7//NfzuS4+4dX4+xdkvuSh49yMFJu9v5Rw39CDL4huO9+qi/osAfpSZGyL6HwD8KIC/SERPA/jTAJ4BcBHALxHRk8z8DQHoBES6rG63hZuaEwXWasQrBJAQsR2wXOjCYnDdm8H2GLPLfuGW8G3PvgwAeOVgB/sHLja1VQLy4JTiXuK8OOBESmbn3ZWZXhD25fy8pBjLHQhTsJFwP1lC9ifkygMBl6UzcU4f3G9hU3cgt76rReGdxIiljpDORLSmbQWlmM5lO85SUC5/fEhVmxOmO+mElmaqbn6yArSyqTx8zoE9pIMinCIpjjx4SaXSikQ9fIa6KYZKa2Q7ggS1iaplFJCXQEswerYNx8cQJGglLvSmkToBWXGXIyupkF4Pq3JYvPcsAIVEDXUjYsSW+PRRxtI5T2DzBYOzX3YHVa0lkX7eDBBb8jYDqk0/QSwMzn3OrWd2IcHkaffbss1i6j19BLF1OnhlF6Y5E3f9nnVtlecvbePDz10DAJz76ARf+KmPAnBdtDNf9B46jwP1hgV+P8VvmPnXAOw/8N1nmDm8lz4HZ1MIOBf1n2bmkpnfgDMb+sTJd2c1VmM1Tuv4/Shw/jkAf99/vgQ3eYRxMhd1dm+l0MEAwqwu03wEG6VAtR40EAit1yakkqL8/viVNDIxTU1Yf9Utc+E/fwOf+x1n8WUWouScqMJc22e03nzo8P0J5k+7jsnFf5xh/+nwqlQhdkNxW9lUmdMOFA6glsgjwMR7+xwr35uvtsimbuHeV8W8RlffQUDiuyfNgGADw1ZN97qw2wFNpehgRLTrW+wEKGGbjrE0upoXGrwW9i0U3zgBWp+GtJlqVKnzpe0QdGQRjtFtT+2LBAS+2KnXo1IFyYRkv0FdkF/opNhutKLZpSGi4hRoVbEzHKfGsYRrTbWkfKO3CJPH3Of9DwG7z7kLsvVVZY1AEEnFQ4pgKufr6kGDFZDf8pqajy0xG7kdK+4lmFx1F/ONP3MRi0dd6HnuV6VD17tn8ObPvg8AcONTe8B3OzTY0csbOOe7KsMbBpNMadWeYHxTkwUR/dcAGgB/9z38Nrqop+ubPh/t1iPijZxy52aIfhtDRnrklZl6jLWXfJinKvuP/pvX8OrgUQDAna9eje3Ydr2FmbnlR9eEFHTpV2e48+0uPTn32wvcIveHvQ9JyG5qUU/SIjZfT4A2hMX5xGLtmtuxbNrApi6JfuuPEc59zgvubBhx72LpmFArtHi3DZXHqzQkPnCQbgFZmSz0xJHW8nC4bYSHAvo57NSOosYoyT7otmi8+QyiynxSqfTlYV2RsJnwMJNs39QqvbSqvkDysL5N7SmcdlWr4VTQtWzUpEIiPZCUwuWwKYEUdwcI1gyyzfCSSGeklMsQOURtAZQ7QjwLxEI2DtQVzl1U/1LaoMO7NpL/shcL7D7rPv/RP/FF/PxXPuy+nyawG17vc2ccr83wNjsTZABHr2+i/4iz0XjlP/xxPPP4D7h9+J11DG7JPX2S8Z67IUT0n8AVPn+AxanoXbmoM/PHmfnjyXD4sEVWYzVW4xSN9xRZENH3APivAHwnMytwNX4OwE8R0f8EV+B8AsAX3nmFjpKu5ec1AxVAVNxmEvEWqgn1GRfPjV7NcPwB94Nzv0GRQXlU9iLEGgDstntN0DQFtl3ctpj3UG+79bw5GKC65KbbtWs55o+47ze/kkRBFhgx6NXQ73QhxjeAvEVDiNr0CDMvE3/ut5oopDJ+jTA/53+jmJtkATPxm0nw0EiBLIeGkI/GQkpAHWxFEiILnbYoDUY2SszlgeV08TBgQNrsITiSJDangAZRslOnDDpqYCNdHdNCIhgjDNFOoTQFWitv5M75eFg6o6QZyUqnhnRapJ4ATatPF6rgm8n6YrFTYWPqNVm2t68sGA6csQ8ALC6IpOLwFkfqfLlJ8XuywOyy+365Q6g23AGmU4PRm26Zz/zyc3jqW98EAFxb30LpfXmbyxbtmqcyLDMMPS8pqQyam46C+r7Jn8PmlmurzD48weD/Gr4rWb336qL+owAKAL9I7o74HDP/Z8z8AhH9DIDfg0tP/sI7dUIAADYAU+SKtz3lHE3ooDmTpc/raqDv26I2c5R1ALj6F76GL/7KBwEAR29sgwIhbdiAlx65VxLyF13cduFzJW58l4vHN19i7PbdaZnvEDJP/pldBga3/L4V3dBfa2ZqF65wYwV+R1JZmNpt/63vKbDxooCZAmqzGSDSkdtC2n1kJexNFnKT20xajroGkCx1/USV9iWq76pWZfLZNI6QFYZuBwfUop4U9ei0S9XD/zAgmFs+TKiqNgCK6dGDQK+IdrQqU2J00Jya1CX7I+pppDomTAL0Mg3HyaIZEupQ92rk2OK+q9vVlOTc7gAUR4ThLenkbP6eW6bcIMw8eSybUSQODu5aLDflhOQHcp8HrdneLmF2xd8rDXD95x8DADz37/4evvuZrwEA/sZf+34cfMitZ/KHljj2AsbrX86jqlr1VoHyRZdz/eAP/CL+j+aTaP7VyYsW7zhZMPOfecjXf/MbLP+XAfzlE+/BaqzGavyBGKcC7g1y4BROpEqsdTRtz6IdSvW/DYzL+wn2P+4Vhz6bIvVvvS9ceyy2j5NpAnvOpRs8TzE658Kw8mAdi/e5dOPwfo7a97oPnzTIHnXLtDfHwgZtRatRC7WQ1aGuKoK2UpQNHpdr1wXjsP6SFAvzKWPk30aLLSNWAKnoQLq3WujrSyHMMU1l+zpMDl2YtkcSgitwFxt0UoJOlyRwXCopYCaV+m36dtBVByOj1u2+8MuyusaQZWwuKZTrAvk/t+ikWZ11qm1xPJC3bzOeGwUzj9gUlgiMSTFMyy4wK+57KeuItgHHECXwEdC/675PG9ES7e3ZyGAuNyRF1W5h9UgY1TYV0NlyW6jzzhjZff7df/Q0Xv7uHQDAR37wq/jcL7jCZzsxMT0/eqrB+tc8k/W6aMD+7//ij2JwZQJj9An7xuPUTBacuBNk5CoK5XwhYrxrr1K8uMWBReVpuR/9L76CX/9nDnyCO0WsU9hRC3hHMqoJ/HmHn1+/xzjyMk02JWSH7s4fvQVMyBUhJo9ZDL3lXFuIgS61gufPVDW7GovtXnEAZB44FSaZex8zGNz2v5tw7KLMzxFGNz0o7NiqG0MeGtMwFjueoJQJpl/n39oTpB7q9ERQk2wEtRfSs3AONKCrjdZ/DA6TgepQWSM1iw5ZKqpgyc1OrUKcKvJYp+ZhZd2tCvHZQHxc1H3NhHj36omJWrWPiahHfd2qvzp/9ZqketmEOjWzsG7NRwn3QLrg2B0r14yaIBjFgfvBYkd0R7KJTCKmEamC/q6kowCh9laeNgOSHe+0vlcgnbkdrkcAfsVNFr+xvY3v/T5XHvy5z34cw9fdvU3fdoij1N2AZ34rxfob7gIVhwmOj9bAi5OjslbckNVYjdU40TgVkQWT4ziwUZEjE6xXrDKK7jy9AiRPuBaB/ewYnLrp/5deeAq5wtkHgBbYFTYBAMdZjDjIAqk3a5lfZLRXfb961kd9xcWa6e08vmmolQMo6JUAABrISURBVCIrcVccJuxbb1+F6YngFgKunxMB9dhc3iicUCwc2kTW7ULzcEQUTZI5BRJFde/gByJoijtvW6goQvM3JMxQgC7FxHywwBiGE6lV6wfcgvJilMKownJo6D4pI+KkQmQcd4BbnWJkN7ro4DRCo6oRqEdWMmKwxN3j7mh4emZqsuzyY4S5LOvupJ+qyxXVuaYcC6NNH0g9NSGbiU1DslAm12NEdms6d65rgIsaMi/onB8TZokLkbhn0YR9qAjLHX8MM8IvfOZbAAAbz+zjIHMdkOHnNpB81FXg9z5GmOy6Ax+/AQxvvDucxamYLABXreaUpS3K0i4dvm5im/H8F0q8ftaduMGnd5G+4LDxdcqdFmmgpXMPMF5XIj800Z1sdlEmoMEtwrJ2BYTFeQs68Mi5gZB/kAr+32lIuK/rgXQIspmcfGqByWPdfcmPoPgXHPkd+VS8QrKlVPZTlTdzIopVXBFMI09KWGfTk5vdZhRrFvrBdcAtPwm3AIX0QHNKWOodwAOEs1BD0Q2W2BkSqrjNCEkrE3OUsdMpg3rw2/yB1q3qesRt68nByKRiU+o4xMXUo5SJyj6kxhKGyBt204wgjKtb+rE+1cq8aDNRLoMR6no9kpNkKpmU2p6kOOkSmJ933/d2KQrwpjNCddFtzBYZzMKnoA+pAwGeG+X/Xf3GGfQ+7madeTPA1i97YOEnazQe8bmY9V379iEvgq83VmnIaqzGapxonIrIgliKhmHmrkeMdOoBLTuM4Ucdl213cQbZ0OGeD97chMkEoBULZilLLNoSsiOZE0MqsThvgXW3sd5uERWxBrdNfJNUG1Z4EUML8pU25wVK8XPAWTQDAL5S3d/lCNcNfe6kVGF3KRgKNiROVwliYRdQIT7JW82mFP0tHjyPnbd2eNlV3bejDvPDedLdDdOoqEFzKvSrhd/+hg7HFbfRSQHks/5eu3rF/W2lqPkgOIwe8ltTMzh4mzToeL1ErkciERjUubGp7HNSqjSSgNxzcdromiapZUdljAlBb4BVAReQqDM/lo5GsS9diXQu+1WvMSoPDuzfzUC++JgdE8ptz4dayH1uexagEC4BduR+a/MU9Jor0vNWg4Nn3Po3v5BhctXdCPOrNeaPAe0//YPWDQFcK6pv44UevyEeG5d+dYnXzjnBAHpuiew1d6Y7zOJWiGhtz4J67sr0XuvFi1fsAqVn9PbuGeC+e1qPv32B9C234Xokcn6mVMSpQxM5KdRKhyOdAeMbvmqdOLFUwFW1g5hqo8RcQ7U7m8mNrKntYES0ZTblTqchPjgGURej0cZKCghGrXiIdL5/ALWpbQ1DyhUm77DPkWRXqLyfEDUndNdAwmvhplh0kZKRp2IkPekobDEUFV3+xukDYbgGd4VluLt+XbfRaY5sTNcmKPJ5kkrWGdqpTGrCUfT3ZiBtflMJuCybKTmAjOL9zAZRe8WU0gZvBgwzcBdhdjFF73aQ6AJM8CjRzzYZSXGPCdhzN1S1xrHel+2moMfdy5WeWGL0Tx1/fl6laB5bKsjtO49VGrIaq7EaJxqnJ7JgV+nN73qo9XkGX3EVplv1IFYOs7eKGL5nM0I9DN0FBgd3JSbk10SYN3Y9LkgBdf1liqI45lYP+VEA1XDEBGAhgr1tAbQDT4evKdoIlFsME7xIGsSiWL3NMcoIb9jhTRt/l/8/7V3Nrx1HVv+dqu6+974vP9vxsz2ZhJAwzCARRhqNFCFYICSQQEgjxIodrGHHjr8BCbFCYsGCFWsk2MOGiQRhMiiJZpRkMsnEjr/i93m/uqsOi6o659S1HT9bkfKI+mx8fV/fqurq6qrz8Tu/c8zK3GSAT/0WJFdg2FYnZTIHjBqdDwS/rFVzVaMJq3ySOaN9tHNT+yMATkINxpHJetravAvrHGWnvJqetQ0lv9U+yWAoiM14zaluyz3YtGnLzoUBT16xZWq8mlneOCwtK1cFczfV5Kz2NswgIKpiEvmVkvJQgDhwcaK5QsSmmpsxW8AK448NsN5/1LO494HD4Xa6wW6h0cDZHYWT+zN10ruVkiktbgY0mVkrdsre1swJ9KNkkjz8tQb83bS4r7zVYN7PQMvz6wsXYrMoYJ/d91rxXh+8tcZHf5TepuW3l2hvpc/DFkuUZNUp8AhOQVyTz7ywD13/IfD5n6TY5fp0gtnPUgfHvzNH+056i9iz1q1cKTEuDQq+cmtlSWanIbn2mKRgDDvG7LM0+dPPNbdg2CsecacMW1frxeIlMsISDbFM3ImFWjcOsdctgpNZ6lpwoyFbYpPU1pvfBo32sFezyJtwmqX/S6zp6qspEkq6fFTv+hMT1kjNbJvHUZU6DDBzYEh6A+r2S0gzmChUBGD8FNa8sajQElmy/hvLoxEbJfnVKu6G/dtsrq7XSIT14wxbBgVKOt5mobk1sYEcSKvLhN2fJHt0+rv3cP/DK7l9/9gIEntg8nkB6lGFBpUiWDP1lfhbE4QbaaKmf3wHy3+/UZs1T5HRDBlllFHOJRdCsygp6qurwPpq2gbvhQ7cpK3b3+tENW1PSbEKDAzZNOCWJRa9/GYPf5yOjHvfI+DDpIZ1IZWuA4CTbmZIUClVoQbgI0lfVl0NE8bkXo6GNAqeSYQpaTzrSyTbL7Oe0GywEmJ6DHq6NGd6Its0aG6xoV5rO5XDUE47JYdhgpDLwmAoYgO5xp7UFsqcBpibNCd4qquhv5V8E6PeC7V/5Mp8sVEPjbrouDia8VpcCGvhZ8cswC1y9RxIm8HMH0HS5HnDGTqUlPnNaEtx0C4UB1PBviWKUtdFKbiQCNWWXK9zFxvVnmJTz7WyrindwfzdF8BX06SFzmHrVrpotW/WyiSih5q6bECJdj2V4tPNGWHyXlqAt0+vYTLZuP+nyIXYLNwa2P7EoTtiPMx1J91vPcTkxymPI3bmYZjFFls1Saa3GpmgS/8N3H0jfT+570RFnb884DDX7fQLkhql7UlNbVaiHpZVKjZAzObEzseEk1cz49WxE5OnPXLCvNwaVb6EOS3wyKacW0q7lKxlVFcjgtT0Bmzk1d+RXvhstqzMIjSRizAxVb43oxilP+P7qOp5NBDvu+shG4qQ4vZsNhlCRPEn1RtLefnZaRs2pyN0mmBlN+xhRlKYCWYDCh3J+giGF4OYKz/M40K97DcQsIYY2pp65e9CvjzTzxRrbo8CCiNjInIDOZDW+2oyh+2I7iDF3pefbmtSHgH+Ybqp/qU12rPU6PQBYX7TbP45f8QvxPsk86ljTn8ZtvWw8qcOy4Oh3mCeIqMZMsooo5xLLoRmwU1Kw23myq958skemjI640135nRwa0LcyViGHUY4SMf5g61OMQOvH4N/tCe/6XJ2ab+tsWgaSIA5zRkl9R9pd2+zVtCekTjL1nsQViJErfDuBkiba69tFrEcmX5hTjob6ydVYy0hTfTGxGnUhHGGQQtRNY5yggBJZZaxWCCUHVtQ4hc4VI5PuWaAHi+kGoeYGwyhymdSZ2DKn8lO3l4jBBVMG3oatqc1iAxmnmyKvJL1MCKptiLYFKKKdMdyhQqeYgV1Bk5RmRYF82OJjrRqGyRHwzpR/XrD5DGp/u1pGaMpJ3nisXDJu96aCAgI6B6kHx+8/gAfu+TsnHw4lTbbE1dFrWyR45IbRSsyphOjKfV3JozpnQbUPxqVeZJcjM2C0uBf/tOf4Z3/fBVAHRZyPSHOMvBpqhPRHHpMf5GrQjtGLDkdewHbP0+3NvvxLo5fyxO3rhWpolKHmYYx2ef6qAAQgTDxeQzAdmbKSpRoua9trtCcBdBlF3aX/RvDTDeF1RVUnvUifmW+d0omayub202h9Ks3lS8xNnICE+UmjWrsevUbxFZfXHYAlUVozAO/qnNGNtV6SzUXJiYCY3wTli7RmxKEbtC0eN+z+JP6XVOfpNMbtAl0ZOqoPInA2JobsVVkZTPX8ouxpYqZTGq4GjOlmCRpLtLnYaqmB1vfhGcxj/zCFFFqWWr3NnOCW+kDFHCZ8YN88s4NNDcW+XvWMP+eiWZZVDHlNH8kc6pc018JCKwo5OXNQRMuzyGjGTLKKKOcSy6EZuHXiY7/7f2XMClqEgOljJELAM50RwxtOpoIQJ9rfLQnTrAKgMP8O+kYDpMJJplH0/VK2U4DVdmJNoNyWPn8W2P+LAhnL5Z4uJaoWw8kHmyKkKzBVKA3t1mwCRuEr2JKBI3phwkqkFWpwG5PUr9S7EMwlborSLN1UhqcQ6p3UcalkRo3qDMwdFRFMkpfblBPfOmvtLP5HYX62iKxrefaMnhpAWS9vmRwAjmCkdtsFiw5G2Gm8HuyeS12PBFCCeCXCtuOk4TXseMrY7NaT2lQtJMGMhabug79Gs1ataLNei19JuMNnUPcyus5eNEOwhZLZTy/JPTHBYAUsPvTovYR+l1dbwUn08xJHJdhwmjyPLmFg8WDuLnbwM9/sVyIzSK2CV3Z3mkFM184LgAg+PoFolJ6rgfCQa5F+p0jHP1Pwr3P7jiczdJTWr6ygvtpBnRts6SZxx3IxK33WYAxcCx2nOtJPMmzu7rAjn99DZeLZYYWmD5IP/UrxuIgXdOeKm1eWWyD8S/URYjMi23sasui1J4acFCs06DFW0+ax0Am34RYx56IfMsYCENhAA/Kl9HOla3aRgj8yiRPTTSMWl742Co4CeZlK2Mu7cklDAFcgVBRCJZUe9erqdKeMvpdtftLZMQNSjXHHhJeLe2mwQODKYZUyge2JxqdSRwjOl550U2UqJhH9p4oMHyr4xWG8KXO4/IF4OzF9KBoIGA37eq87MT2CDsRIaOQ3XGDIfvFZrcb+FV6UO71IywO9/J8EIbLuc2VE9/OAIf2OC2oMOUa8ZmLcnEX0T5sRlDWKKOM8uXLc1VRN3/7KwB/A+AaM9+nVBfg7wD8IYA5gD9j5reeOooMnR22jLOwM5GAWRSPDTeM9vNc5fxShDtKt3Dw6ikOfdIshhmw/VH6fnXFKy6jYfSZrWjYZjldmjOSKlKxManjDSNcTyfAySsd4ovJznH3JoKn4FYraE8fpHaBhN0op3BxvvE2hMzFL1WbaM7MCQt1DII0TyR26p2ngMeqj9wAg6HWt+AnyYo0ppBfoAJflRORAkvRX3gTnTGrxfUmI9arNiMmAEOjDJ3yezJpnwiKMYkt11EHGzEpoKI5b+AHjAllTnx1sm7As035wPKM11ONTPgFKtNpszxjtCA544CkQc0jZxzC6z1te3ofkNctAstpUUugmuyawBkLzxMWdrPlQcDkXl7zvUf8ZrZf35vBH+V8kClL6YA4jRhk0UOYuNI9Zo0jO4KfQbF47irqIKKXAPw+gI/N13+AVFjoWwDeAPD3+d+nC6cUc1Vz2QBzSFJ02xMvD/3Gm4z7v5GRmv/4CspWtt6P8NnDnGpJlkE78Vmsrmj6cH8pYpin/zQLwiSXgY4dYZrT2HduRdzJ1Gau18Se9lQBOSmBqKjmJoqw1GuLxCaFe4G0CZS6q83c5G6sIBnEfm3c/NA06KoquXlZbTQm/b7Ms9lEAiOWzaVXluswISnjh2jYr23K96AvS0FeBmciH8YM4QbSj12dKZxpwn0276Qkby2V2LjfMUCpvl7mssGyjsFGe4ap8VENhrWq083IRpjCRKMLJVrCa+1nmEH9BYMmHPq5smClDT59P3mo17THJKUzwQBPcqSPHTib3hRIqRCj/hYfboNzrd+U/5NRy1sDwqXiEAOG3KabexlPd6jrn73HMH00ovVF8lQz5HFV1LP8LVJVMvvUfgDgnzjJDwHsE9HN8w9nlFFGuajyvOULfwDgU2Z+mwxUGali+ifm/6WK+u0vbjCpoRTUC+/WlGonAMCgcN7lzQHXXspVod9osLiduPfDxCPcyHbFYYvFjbSdup6EKBUOwl7VmBMgRMV0DFcG9Ltp1++OnND/L24Qrr+ZtuGzmw6Lg6Ims2gF7CCwcUt6W4rU2l087fB5LAsDQjIn/7ANo/bWZkcwHvwq6mCASoUdyMLJXdD8DUvLnzS73JwxIexvK83CZL4Wk6ECcEUTiTDO1s0yhVGKK7PWS/FUYRzaU6MFmEpsCkYz55XVqIx20yzVkZnGmh2+a31+VltJztysRUxNNKs4W88gan9ymJo57rWNkrXsV5BnExuFadNaTZgEG89aQ4SYmjyJYl5STwlohfQu7LyfJsTvOKkiR2uSfmMLwSgtJ5o/1Z5RMh/PHwx59s2CiLYA/DWSCfLcYquo+8uXU+SDdZHAqQ02bAXs/iQNdb3nsLieVt5q2aLLbMV+TdjeT/bG6a0rinI7ItGfVlcj1pfNgx80QlD6osNWzJzuBJjeS58Pf3OF+99Neqxf6aZjUX/9ruLwaSBpx4YqJXLRqMmwmRRmX7oi1l52g/7G9fq930iVLihFG114Uj5GldvQ6iZBbKI2URd29IxSyckiI4vJEBt9adhrnxH6ffpx/t4pd0dKdS/tqGlHkcWciq1hp+qNKcbGl+IMs5URGriOvMg9UZXXoTlI+btoNj1TCMmf6kbU76pvCTCoSmfY6ofESyFzM08TyQ3DZyb6cNrAnXq5piCb+2s9uttpEOF6j9imSdj+1GF+vfi32ERyzIbAQNjRMG2zeDanxfNEQ14D8MsA3iaij5Aqpb9FRDcwVlEfZZSvrTyzZsHM/wvgoPw/bxjfz9GQfwHwl0T0z0iOzSNm/mITpLQTqdrN3ZqE2t+fOqxSAiraE+D0btpc/HGDbqVq3vLNq3JTJRM0dmQYijTIb8vDsVMWLDj1TsfOiSe5+2gq+Q3DNsOT9itefAbi8KjJUX02ACouZDMGwAUy2oer25ZDYPM0KKYKqXoNoE5XLxmdEzJzbByidowmvwJc/82WIZSvjNPTl3KPrZpONJgxE6qT7nHkN4CJRExITSEHidLQACHRscJEcNFcU0wUUrMiTumx2oItSwljotncFyECogQGA1L1t8lhdl6ekUTHbJZq9IyQzQEavELCtwKazyUxCENTkHecIiIAuI0IBR9uarNMpmvMX0rX77/T6LppTd7OoJo1onG+Thkx4JnUheeqos7MTyqM/G9IYdP3kUKnf37egRQGJVs3xC7IgtR86bc/xQfvfQNAelHXl/L1Ly6AT9LTa0xCTt9Ekx5NBmCkjFhuAOgkzVrsWIArrnf41d/7AADwwb++Jn4Cd6ohUqxI1HDXoyK93XypKUCjDICkKdvq52xYsWkQbbyu3RFYxmJrmLioC4MGDUW6AGBhXhrLdJwlttqHzYtwtmRfb8KbxvSw4CW5dg3ZXC2btmULB4wpZmj6qkJEEcqaZRCcFLkeg/HtFJ+MjcJUVHq2hCKrSefNNWBUNADl/uxmWfoctlg2DrfWKEm6lxLOgtAHUNQDqdnpgYclBgvxKbCDRkMYiIXSceVkXIuTKbZvJNP77HhPQ8bbUdppFgQBoBrqSe6Annz1LJ4mz1tF3f79FfOZAfzF+bsfZZRR/r/IhYB7C27eEJoknkk9AYv3+HAxk1MhTIB4kCIg7vZU4sx+2YgDCQbvwK1mASbC1dyOcUj5JYGG9IPpfcaHD1Nq8OIgKrjFePr7PS0dYNOjOaICPAEAWsUk+IWeXH4BObFsCjeb4sObVPnFeYkN00Oub019CVZPf9Ie9MSy0Q49tfWz/T4aDk5X2UUq1myqeClNezZfQtrYiPdXTuFIj15jTnlYp76JjFBfA9xs7RJ1pNcmoK21UnKNXInAGFOp0vSYRMNNjZvmSsQEAAqGIqrDMhIjdOZ5eP1x+S0NXta/W2mU0N1vsXNwBAC4uxv1t9B7DRPDWLYkxFL7psuFnZ/BwXkxNov8kCioau4GyOKYHBLOsg/0/i/2hZNiepdw43t3AQA//+hlySWJnXJVgAGfX/L2iCrPvbygawOQmuhCWF8iLD9IFNntqcN6Lw2omSvnBfXQ+qmsm0gzN3wOpU9nohgmWvBI/QunYT07VjE9DL2dGwD0ZrGZRazcDGbT9aZfhlDu+TXqhfMYc8OvWU23oIxesilt5vCU+R20PQtWsyUQvanNygZcZjcoYq4jLOY+K7+CeeF14zW3FkkRqqTmQfR6cIRO712KO5lkvjDTiAMFBV/FTnOa/MIZU4wkHTx6oM0b0eqkk/UJMm32anJxq5MZp8bXxsDd96/Kfc0+S4trcXOoI07G/CkHW/CxtvPPIWNuyCijjHIuuRiaBZL6FaYk+GZ/6tBnWOvpfhBMBNqI6MvxBnz8Hy+nj0btL6UQgVpdjBNgPdNTWLQMY1Y483l5LaLLlaxjq/BftyaQIaIRc8NrnsQmFT6QHJZsCGYqEFSZB6MKW+CRX3Ll2S+mx6BJi5WD0WoJxAAXVd4l1bfMjcV4WOdd4dWkhsVUsdT6AUZzMmQ99qwSp6ONLNjIiDPgsg2tpkRDKgenMSVsejscqgLKMn+kUPWqpkqDlPOS77U4pdsFC/myxYlU2bUS1SH0u7mfDbYyMR8iQMVsWxG4cTI8WR8Dqfng1Axhz7LmaU16H+Y+uWXJwG6uLTF9N5G6Lm+QaOgJV5O15qlyfwrQ8VFf9xPlQmwWRT2iaOs+RsQuzczlbx7h5N3kO9h9zyUWbQDH3xqw/25WvQ5Ykm0SDV+aoGGmISh/pmphsRmBnFTW60Od3UnfH32bsX0rXb+8QhqaYOVPcEOqXQmk5DAtNlPbyEDiYLBp6UVS3ke+1JPwEljqOmsmpHf9Ufs0jUc3AhuyrZi0jV/BViJX4l+1c23KdTIttB0h6jVUehY9Wfkvyjh6Y26YyIWVKhrCgF9H6a/yQZSCR7b2h7cRE70mITXT96GrrxegVZ9vMrdviYrLvJWoBw0GqblIoMDSZ9lEwoQVhWz9M8ZEa069oH5jx/APGvmtmrGEkCECodNnwz2hy3V8L/3KGVY+LcrpbY/FNwoZjG5efuH0mbiUtPml5oaMMsooowAAsTkpvrJBEN0DcAbg/lfQ/Qtjv1/7vsd+nyy/xMzXznPhhdgsAICI/ouZvz/2+/Xs96vse+z3y5HRDBlllFHOJeNmMcooo5xLLtJm8Q9jv1/rfr/Kvsd+vwS5MD6LUUYZ5WLLRdIsRhlllAss42YxyiijnEvGzWKUUUY5l4ybxSijjHIuGTeLUUYZ5Vzyf0nBwWHe5EItAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for i in range(0,32):\n", + " plt.matshow(first_layer_activation[0, :, :,i], cmap='viridis')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualizing every layer activation" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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JoprCaDpRzaKOGKYF+7Muzgu0sjgnSeMaY9VSkBsrMU4yzAo80Isq5nWMlo6/cPppaq+WBnftg9FhvaR0mtqrZvHIhDaHoCMraq+Y2jQsuiHpyGp5fhg36uVYVbpQHs5LRtECKTyRsETirkGzX/foyGo53oZ0xDKNk/YGEDXt9CSvcxN+cnQ9mS3TPbmnRTI3CVra5fgkhWNqUsZVSkeHuSiSlmmdEEvLdjpmYjJKp1iYmI6uyFRNJBz7VZfKhmccxDkLc1ckxsqihWNhIjbSGcYp1pMZU5Mi8WSqYmJSlPDMTMxAl0jhOKy6y8UtJTyxNFROLxfZJlWGFI5UGTbTKc4LdosBl8erHE9D/0zTmrKMsFbiaoncj+k8OMYYRT5JUanB307xKzVIjzeS0dqMvIzComlsKIsIVzZiUHgoFSunx8zmKf1ejnOSyigWRxlRr6KexaTDEikdr9q8zSevnCVJ67DQZCXdtKIbVxwvMvIyQkqPUo40aoSnlfTTkoNZByk980lKlBqslaRpzROnblA5xawO40ppNPM6Jotq8joirzX9pFqW/2q6YFylTd8LfTqvI7pxRaQseR1RNX3qROTWToZ+bSUb3TnGS6yTKOnoRiHteTPGr3fm1E6RKENuIoZxzrjKmJYJqTYURjNMi7C40YhWgINFl0FahHYvLbG0OAT1/7ASbKATo9b6sFCvBNV6Bz2tML0Y4T3R3gKUwPQThCcY1LUD75GVRdQWM0pRC4NN9V0jWgnqfkQ0M9QDTXJQ4hKFHpd4JTCDBJUb6l6Enhu8lo1BHvJerMakeyXlWoye28ZADyLKC3CJxMaS7rU5NtXoaYkZpYjaYTqaYj3CpAJdeFTlUaULhrQSmI5ELxymK0kODeWKRjjovTTGpRHVasrxAxGq9sRTj9MQTx06dwjjEd5jY8n0bMTgak2xotGFI19TZIeWuiNRpUeVHps2TgAJNhE4LUgmDpMKsn1DvqaxscBL6N4xOC2wiUTnQdhGM4vpSMqBZHC5oljTDJ85hNoEh433+EUBm6tQ1Yi8xHdSiDRitqDeWSW6cbgUmV4KOBrDyvCuwwXwnQRR1PhOELfyYALW4jZGyGmOT2OoDW7YQS6qIJr2DmFzLTh/uimiCv1LTOYhX90MMc/xo36zeNCIVCHAWFwnQRYVrhMjpwXCWH70Xe9i7mMUnsorYmHpyJKFS/iDcpsNPeXQ9Ci85oF4jwPbY1NP2FATds2IPdPnVBREbkeUFD7CIblcrbOhp0xtysIlSOEYqQU3qxW2ojFTl/JAfIeFS4iEJZUVu/WIDT1h4RIObI9U1ExdSiQsa2rGrhnyQHyH58ttTkfH7Jk+tVeMTYf1aArAKT0mEpbCR0xtyq/+zXcgjCc+zPGRwkUSlyiio4J8u4vwoOeGci0imlqiScXidEZ6p0Qah4sk1SgmuzoFCT6JML1gSwvncUoSjQtsL9gOalZRbHboXD5mcX5E5+qEaqMb2lmq0AuLzSTxUYWXgugoZ/roiGhmkZXDdFXowz2NnltMVy0XUzo3FrhYER0umD08It2veP+H/94VPg++GCG+HwMebn7gPAa+h/CbcH80QmD7CaIyYeBpVLzfWkNfvIHZGOBGXYRxzN/2EOXrz1M8fob61Ai72kNOFswfWkEYhx1m1CsZ9faI6uwKrpPgtcR2Y8wwCyt6laE6u4aLVBC3tSXem6PmFcI65PE8CFktsZ0IWVmiwwVmJSO+vBcqaHeMWJSIvKLY6bE426daTVmcG4TVssqFPJeWc8Nj+mnJrIyR0tNPg2B1lWLvzoC3nL7MoFNgnWRx2GGlm3Nf7xBrFP1eTpIY3nH+OWZVzKC/oJ8VrGULtlYndDol3gmS1ZxH779FkhgOjnqkvZJeUjHICgBeONhgvbPgzdtXuX3cZ2s4xVpBZYKoTNIarSwra1M+tnuWG4dDxkddFrMkTMhZxenBhIdO7fEN973IUZGRxcF4qr1qvGV3l1qsF0sjLJKW3EbUTlFaTW7jpddvbmPqRrgap7D3pJHbiLoxRBcmDqvqXjZpREjhmv+DQZlIw2o8p3ShI5ZOv2J1H4JQPvFIOC84KLvkNqJyemkM9lSJa+77WO8WWjju7xxwXHfo6pKNdEZXVRgv+dVLT7LZmTKpEm5OBqzEOdudMV+9eZXnx5t8dnyKj+2e5R07z7FfdHnD+nUmVcabNq7yts2X2chm9HSFFo7t/oRIOi5PVptylWx2ppzOJjw1PkuiDP/luWfp6ZLTnTEHZZcnRtdZT2bcXvR50+oV7h8c4Lzg5mzIIC4wTvINp18A4Jnj02xnE/6Ljc/ivOA1g5tEwrKhJsvBWOGRhEG5K0vORgdMXMaR6TYDck0kDMeuw816hUPT43y8x5Vqg6nLqL3mlB4zUnNSWXNKH1M1hvquGXJsO1gviLBUXmO9DMY+klTWTG1KR5bLiaHyisJF7ERHFD6iI0sObQ+LZN8MWFMzurJctpnNZqJIZc2eGdCNK9ayRajXuKTTGHX9tORw3uHR0R3SRkwq6Xhg5YCd4ZibsyFr6ZwkMnzn+afDwkhWoITn9Zs3eevpy2wMZ2hleXhtjzedusqsSrg96/P41i5PbN1AKUcW1Tx75xTzKqYXVXzoxgMI4OrhCoO4ZFKmHBz2WJiYRR3xH19+nGf2trk97XPp9jq28W5sdme8ZvUW33LuD5jXMWcHR+R5TGHDQtBJ3zNOEmu7FKdJZIhU8Joo6cMYJIIHKm2O9dOSSDo6UY0UIQpDSdd4aIOwjRODUo7S3I2sKGq99Oql2tBLSqwXpNpQ2rvePyndcgHAeUFZB1E8L2K0snSSilgbfJOO8RLrBfMqpnAnC1RqWccLGzOzCQsXU3tF5TRTk3K7GrBX9ZnadNnHLXcXmxJpyFRNImssciksjVMo4ZHCNd+Jpk2GqBCJpyMreupuOzsRxqULZZDIGtd477V05C5matLl8WU5yXo5NlnC+V1donAoHBOTcFh1GVcpa0lot7M64ajs0NFBgO9VvaUYHkYFW8mUTNVMTEJXVfSiklgFERlLS6oMrlmAM14ux7lM1csFxJM8zU2yXMwrnea4zpbidL/oAUFw31oMmNUJx1VnKU53smMUIYKjaBYWh72CteGcblJhKoW3Ap0YkvNTZpNw7+4ox9WS+Myc/miBkJ4oq5lMMqrbHbbXxjgncIUC6emtLOgOC4jCAsrqcM50ljGZZhij6K7mpGmN6hiskRR5zJXxKoN+TlVppgddpPQM04K9aY/j3T6bwxn5XoeVTs7hcZeDgx7TWcasjBl0gnjrDfPgjRWejf6MyqmlB1M2HuVEG2qrWFQRg7RczoWdqGJah6iWlWRBpmsqq+glZYiCWnrQQ+TGvIpfIU6VDJE2J1EbpdGUJrStblSx3pmjpVuOBScCWApPN66om6iLkwiL3IT5uHYhD1q45WKM8ZJJmeKlxPRisI3XUoLtJ5RbXYTz5KczvASTKY5fN2Jxrk+5FlMNIoRxqHlFPYiReY0ZBGFebKTUPY3XkmolXopfF0vi45pyNUHN63BfIZClRRiHnje24T0eUxykeyU2VWS3C1ws0bMamwYv74mnSRWOxZkOsrKYfkLd0ahZiemq4Gk0QVyme8H4LlZ08AhZT7miSI4MpquouxKvYPz4iP0ne0x3NIttT3bgEA7KkaQcKOqeolzVHD+YcPRIjMkEk3MRLoLZtsIrULkjmgeP0/FDwU6SxmOyIDKFA5MKnArX9q6XeAW9mzWy9tg4jPez04piJDh8VRDa8awR51IEcTrP8VqB84gkhpt38Ddv3/VoVjX1zirCOHw3w/VCnxRFBac2INK4QScIUxecMSIvg62+KPFlhe91ELXFpzGirBHlXQcPWsHmGj5pfGEuLFpgLEQakhhRVvhBNwjYJIzzrhOELrJZjBCicQRJ/HRO4SMUnlSEexU+WgrEx5PgD+vIkr4sePfh6xnbjGvVGh+eP4oSjtPREZEwjOSCPTtgzwwoXEQq6mCfCMtWNGakFqSiptOM/af0mMJHYWHRBXG3oSdMXUbho2YB0jA2HVJRU3nFSC24VG3SkRV7ps/YdBibzjLaDaCv8pBuM48HT6QPTq/a4mKFyg1eCeJxRXpziteCuiOphhovIJpZbEezOJ0FcXpjxuyRIflOP/TrjsImChtJ9CwstnohKEcR9ShFFxafhHHbRwpZWaT1qMpRDTXpnQJZhsUFl2pUHvqlTRXJQUm+ESMsFGsR6Z2Czs0CVThconGJwgwzbCIpV2I+X9SFCxc+75M/Hy5cuOB+8id/8gXg/yL8sPmveO//7f/XNT/10z9z4ez6G3BJCK0V1sGdQ0Q3g24GkcamGnX1DuqTLyBfvoV8+RaRFch5gTm1QnRcYUYpelwiZAitUPMKn2rU0QIfKVReYwcZPo3QkwJ1vKDe6iMrhygqXDcOg9ogxUcKryV6XoEMoQfq+av4nQ1kbnCjDDUrsC+9jHrpJslBjq4FUW5D5dYuhCx4z8Zf2McLQaQdWVwzLVK6SUXaqVCx5eXDdb7p7EWeP9yiN8g5fHaDSU9RPjdk7mLOnT7g+mKEEp7d2yPSrCY3oSHdNzyi8MEDO84zksjwyOYecWy5eThkqz8LE5ENBtUzl3eIEsv+fp+dzTH74x6nBlMeW7vDs8/dxxP3X+POosf9a4dUQjIaLKitoixirBAczHq8fLxGWWtWujnzMua16zeJm7BU44OxVzpNquomFE9QOc1xlfHc3imujle4NhthhGIQlYzivBF8ip4uESKENEnhGUbFckUXBJULYqajarR0pKomk3UIc0SwsHEI12w8EUo4jqtg3FUuwvoQajkzyVKYvnS4ztzEDJJyacwd1xnOS37nzoM80N9HiCBcj+ouQsCHrjzIazZ26aUV29mEK5M1pi+ssPvJU+x9cpPdD29TPDfgzpbm8VO7jKIcKyS3iwFvXrnMC/NNJibjsd5tPrZ/H+vZnNJpYmV5cvU6tVdcm63w5Mp1Duoux1WHU9mUW+WQaZ2S24hJnZJoy6XpOl+zcYl/+dwb6XYqlHD04pJPvHSe/IUht//DGcqnBlyXA/K+oBQRl8brOCl5Q/8KFsmampPJCoviWr1GKmt26xFj12FNz/hnV97Ku556Ax/8xOt5/+EjPO9OkcaGV3duLkMqO414PVmZPx/tc+S6y37eVwW5jyl9xEgtQIQVshfLU6zqObVXDFTOse2Sypq5SxHCs6FnXKo2iRuP6Ymx/ytXv5p3v/R6PnDjEco0ohYRq3rOHTMkkxU9VXClWqd2itVkQeU0ma7ZnQ54ZGWf4yplbhMeGu4zSEv233kO9SMX4Zcn+NlD7L5K8qata3zq6AyXD1Yb8WW5dLTGXt7nVau32cuDuLw6WcF5yYMr+/zB/iYXr53i/q2DEM5dR9RWUZiIlU7O0aLD2ZVjlPQc5RmPbt3hD26d4i07l0GF8Nv7hke8dvMWh//refrvlbzU3aBedRyUPWZVwsPDfe5bOaR2ilgFEZKbeBld14lraieJdRCa48MeOjFMrg+ZFQmFUwyykn5aNuHGIghZBFETyjxIS2IdQqOdF7gmzLyXVETSkWhLqg2zKmmi+cJiUG0VkQwhjLMqTEZ5FZHGBq0cRR1RVBFVGVEZxXSe0UlrsqhmUcfMioTKaJLI8Phwdyn+TsLjK68pfbT0lMbC8OJ0g49duY9Lh+scuuARwkMma7RwxDKsTp+E4Ut8OCZdEKtWL8cq4xWRCAtoqTShTKRlYjNmJhjasbTMbYJuwsNLFwUDXwRPiPOSm/mQF482KHxEpqsgdgVNxEgUxGMTJuqaYDHrFZM6ZRgHUeQQbKVTPvipx5i8/xT5b61ysdxkvxMzSEu6OoybfVVQuojKq8YL6xlERRN2KylcRDeqKEzEwsasxDmprImlZb8MwjM8gydThmFUcKfoE0nbjLthAc96ydSkCAEv/8b9TD+zwhUGqK5lZlN6uqL2YWHwzqxPHBmOph2ypKbfLYiTsFCRJRVpWjObZJzfPMQpOPcjx3R+8WVWf22X/IEH6T82po5gPO2EsD0FCKiOU+paE/cq8sMMlVpkEyZcL2KSrKYsYrbXJhwfd/ELzWLNqHa8AAAgAElEQVSSkvZLktiA9qRxzZ2jAWlSk/VLjmYdOqMc4yRVFaFjy9l/FrHyzw+Z1Kc5XlMMhzmLRcL6yozNToiWSJRtQvtD2J9xCu8FaRQ8lnkdsdZZcPVohcJEIKB2Gik9ibZkuibVJrRJ4cmiUMZpZMi0AQRCNmGDTej4SpqHrSQyzJG1U2S6ZlxlTehvECkLEzyrsgmNDwtHoZ1XLoxHHsFmZ0ZlNbmJMU6xqMMilvpAykmIn3CN6Gn+ydKi5xabKqqRxmlBsSJxsSQ9NLhIYvox0aQO43xtcalGmmDwCuNQ5cn2KPCRpB5qomkIQSWSTZiqwaVBMCIEPpYhdFWGfLlIoRcGl2lk7akHEXVP4SPJ7LRGFx7hQJUO0XiDbaKoRwnzUwppwMXBYxnlIW8+Cp5NaaDuSNKDmsn9MftvM7z5u57l6XQDj0LnMLwcPKZeCdKxo9n9wGxHoQoYXDOoOqSvahhcrRk/rNFFCK/svzSjWkmQNghqXTjKkaR/w3D4ak2270nHjuOHEqK5J1o49l8f073l+K/+/vu4dl/G3qZm9LHgYRUOpAWTSrK9EiEkYp43Ai+E38qVIb6TNl7LHnfePODosYRb3xKzONXBrPTIJiDnBT6LEUXYFoRWyINj/MogiNSiQqRJ8HhCEJzeI4wN4duJDp7ztS76cA5pjE808mgGnRTG02W6PolD2LCWiKLm5jeuUWx3mTzSpXurRhQ1aBVCXquar//hFzCoZouMWG4LiYRl4jpoYZECrlTrvPfyY/ze04/xey8/RD5QpJFl14zYjo6DrSQLCh8zsRln4wMkEEnDQOVcLLaX0Tm5j1nXUxJpKHxMJBwzlxJLy9Rm5D7GeM25+JCJ67ATHzF2nca+mrFnBuzVA2qv+M0bj/H0/g6X8g3u6x6hhGfhEhYupatKPvOuR0Jd5gZZGWw3xsUK24swmcZlESq33PramPGjnqPHY4TR2FRy9IhicCWMHcl+gZAhxDw5KLCpJtmdgxTUoxTV9OPgdVXo/Rm69NSjlMWphGw3ByFJd+eUG1noa50IfZTjsphiMyaaW+Y7KV4KVOW5/i0CJxPuvDmiWFV4qUnGhnI1BgHxzHL50vtvXbhw4Rf+OD35BReoABcuXHjhwoULP3vhwoX//cKFCx/6487/qX/wMxfOrH9VCAVpQnXpdUBJpo+OcLEiOShwl67wws++mfUfhb2/eJropXX237KG9Ir0ymGzygNmkKDHIcRXOI/rJuibh6D18js5L6lPDYn3Zvg0wg5ShPWYfgwIVFGjFhUoiZoH8epOrYZBsul47rkXKL/tTez+9ApFtgNJyuSBjGTq8I2hAtB/xzE3ZiMOFx1mRcJqN8d5wd5xn9efvolBkfuY2a9v039/TLGqmB92GL4Ig5cEV3s9TAzdpKIWktootPIcjHvkLmKtG0I8u2mFkp6DRZfbBwNWhjnXb6+A9pwZjimtJkoMUnpOrU2CJ7KI6XcLXjxcZ21zwtXjVZwTfP32i7zwa4+y8bdf5PDB89RC4V/sUSjFA2f20NpxMOtS5jFvO31puber9oqOqjisuyTSIAUk0rKwMZ966Sy9D3ZIPpugXkrZHY+QpyrOdI4ZmwwlPHMbhKNDUDvdiM5gONU+GL4h3C0NE7qqlyGAzkscAt3st9HSUbqwty9tjO9M1SjhuLkY8eylMyw+sk76sZT5fo/LixVOnToiabwOCHjH5rMcmS65jenpko/u38eD/X0eXN2nsBFn0mN+89qj5FXE+b/+FD3WsKnGdMKkPvykYvtrd/n9O+fZ6swYRCVPH+8wiEsOiy7PHp/ia7Ze5pP7ZxgmOeMyYz2d89zRNg8OD/jUwRlKp3ly5TqDqODqYpXz3UOuL0Y8sXKdm/mQ2imO6g6nhhNePFjnYNHlqzevYt5xk5X3X0ee3iZfV/SvwvwRwygrONs7Zi/v8+bhJRYuIZMVB7ZPT5bctkOsl7wlu8xL1QafXpzj8i8+SuemJJpD55qiuNTnmd6I9dGCgSrwiEagOqYua4REMIAWLqFwYUAXAmY2Y1XPMV5R+IhT0ZieKohF2BM7sZ3l3o09M0CLRkT4iNLH7JkB/8e/+Tb6707JXopIr0VcKtcoVuC1gxtUPoiFVBiene+wt+hhvOT6eMh2b8reosfNyZBBVvKqlV3W4jmf/PknWHl+wbUffJA7f+k0p99zRPazL/Kxr30taVoz6uQ4BIm2nOrO2J0McFKykc3YX3TJIoNqDNZru2ucP7PPuMhwCM4OxqHvesX9gwOUCu3z8t5aiJzwiiQxXDpaR0nPm9avcO0tC45+0bD/7fdRrmjO/dJFXnrbNt/+wDPMXcoLxxsIIehGFWUTIl9azSApmZVp8AaPDpECjvOMzu91yT6e0LkhGT0nyF6IuTHqIDuWRRXRiWvGRUZZB8+M8wLrQwiwa/p2rC1KeiaLDCEhUq7pZ75ZIIJYhTo2jVj1XpBFYa+vdZIkMhRVhHxqwOnfgOFHJdnlmIO4S7yRk+rg2Q1blSRvXLkaduo0ixkewcyGMNSteMrMJjx9vMPFizusfjAmvRRhn+5x8fIZnvYbnFk/Zi2aI4CJzZB4chsmytqrIGJV8KimqqZ2d3e9RMKGcRxB1ewP0tItx5tUGhJlm33TOogGHM+Ot/no7z9K+ZFVsg8lTC8NuejXGa3P2Eqmzf5VQV+Xy21ytglmqrwikZbjKuOb155jJV7wwb2HsR8doUtPNZCkh9D5vYSXdjpYLTmVTfAI9qseHVUv96FG0jGus+Xe1EzVTJpxM1WGwkV0dEWiDDOTMtDlcg/9Qdltok7CewcckpU4x3jJ8/ubzN61TbTwRDNY+SxcW+0iu4Yz3WPulH0i6bBCktcxnaTGNnv2Dw76bK5O2T/s89DWPv/NIx/i3336DfTe1+X6d4yYve0cd777NGvPQPSJlOOzCpk4zDRi+/QRQnlUZuj1C5LYoDuG2bUBZJY6j8CFBZKt9QnjPEPHlqgbtpdI7dgeTMmSmqKOKKuIxTRFRo61/iIsxhjNa7ZvMf/328x3NDffMUAvJN0rkvEpgVRBEFZes9mZNlsG1HJv8aJOqJ0k04ZRUpBoy8UbW6S/3yP5ZIr6RIfZtQE304z7t/bZz3uhb3jJrI6ZVwkegZa++V7QjUOdRk3YPkIsBS2EhaHSRWGcbISsb/YAL8N+tSWSltpqjhYZ86fWSX6nA5/qcsmtcvbsXojuigscIaogeY9EGhe8ZqUJQkIK1KzGdTTSOIr1mGJFYr7ziFNvvIN67ZzreoXDJwS9G5L0ziJ4wzz4WKHmdbP/TWJ6ESoPfV3YsN9Q2mCf6VmFjxWmH+OVBCWQhUFVIXwRBKJ2+FjiI9mEoAryDU3vRsn2T7zEa976Ep/YXOf4vMSJmHgaPJfIsEfSZJL0yJEe27AL2wvqniJaOC5/p0AuNNIKsnd/nMMfG/L42Vv87nMP8ar/bcz9f+sK/p1dqmGE6UgEgqoviRZhz60qIJm6JqzXU6xI+tcqXCqpMxVsRAVmGBMtHLMdRd2T2EgwuGpYbGr0AqI87NNVdbMTVAnWPzGl3Ej4+Ll1yv97k/jVU/TTGVVfkMxCyLC0EB+GLWjLrefeI6TErfSDEyiNqdc6HLxO4V49xytP3QGenFHNh3Sv5yEc1/sQLVjV+GEveFeNhTjCDbvLyEdRG3yWBk+qMaFMrUMWBuEcojaIyuAHneAI2hqFcOxY4wYp6mhGvdnn4Mkhx2+qqR+p6L/2iN3+CoPrIGrb2O+Oh79vFy1sWHzzEQNZkMqaa/UaO9ERG2rGs+UOv3XnUeYf2aB3VSAryezpFa7/2jnGb3C8tneTmQvj4YHtsx0dc8uskPuYVNaMbZcHk9vkPiYSlkPbJfcJtlks1c07Bsa2w050REdWJMLwQrXFQ8kdJjakfbsecmB7bEUTfuEzb+fybz6A/kSGfilBf6jDB4Y7vH77OoYwL1gkz//787hUgQ77gaPbE8xaBz036N96CvfAaQ5el/F3f+BX+Yw/xQJN+uSY8Xk4/y8Kbr+li4s0ybGhGsUktxfUqxmyDqHnxalO6MvNYo/NNNVIk14fB4+5FOiyWdxZ1PhYY7pR8Og6qNayIHTjCOFA545iVXPz2wzf/5aPcPSgYPu+A+7cWmF2zpMch2gFvXDYVHH1+ff96QnUPyk/9b/84wtntt6ELIK73iuFEIJ8p0c1kBw9osmOBOXrzjL483v047Cyz9ct6P1z2H+iQ/cgCAKkIDpa4LoxPg77VfTBlPrMKnJaBI/rep9yu0d8WITQA+uRRY3whJXBaRE8qGkUNvzGOuy7GCUsdhK8UugPfIqLv/gm3v69TyM0bD1xh8/2V7GJZOO9N5AOzCglfmmXO982YF5FWKdY7y2YFAlZZHjLzmV+cPNDfP/mx7hs17j1mzscvE6RHEO6D9VQMLhmqDoRj73+Kod5d/mynOk85ZHtO3TimhvHQ966c5mnL52j9pL5ccZ9OwdMy4Rut+TcaMyN8ZCjSZfTKxP2jvso7ZjlCRvDGddurVLOEkbDBX/zkffzjVt/wHv+8lvpvPtTXPwnX4WsBYMXBbPHDLJrGBcpx/s9UGDziDeeuYzxaml4VY2wlMJzOhnzaOcWz0x3mP3uBrIWuDis6GR7cF31qfuCXhS8Mrp5ychJGl1dIbgbrmu8DHvyvWQ1zsltTFdVS89HLG3zEhdBacNeWNtckypDV1X0dcln9k/T+40e0Ty0wXgKspLED82JVBDUmTIcmi4b0YytZMwnju/jGzcvcqscsV/2+OrhZd53+1V817lP8U1bz/MB880cPRaTbxHCk0xYdb4438QNDI+v7VLaiFGSY3xY9X54sMenj87wts2Xqbzm2mREhSbRhuuzEQ8O93nd8CafHp8hdzFnOsc8tX+W+/qHHFZdjFNsZVN+/+X7KdC87fRlpibl8GuPkK97jIv/8BxlkiC8YPwwuF4Q9zOb8I1bFxnqBUOVs/AJqajJZMWx7XIuPuC0LujIBb87fYi9393EdAWyBq/BxoK1jygmTzgmrsNmPGWk5xzbDitqzkCFvU5j26UvC+Y+ofQR23pMjeLlaoNYGDb0jMJHlC4mFobbZsRQ5dReMbEdtHDsmQEdWXEuPuR6vco/feprGTynmJ9RuCbUSdWC+157i5lL6aqqmWxGPDs5zbRKmJYJD63uc3sxoJdUfMuZP+Ctq5f479c+yvPVGns/Zrj1jm3SQ098KNn9+g7uvjMMn1VsvW0X50OY3bRMuH444pGtPVJluHy8yrnhMXvzHsfTDlFs+fYHn2E1XXCn6LOa5bx0sEasHZudGZ/dP7UUX8NOwe7RgLyOyGLDjz7yXr5v8/f5Jz/3l+iZAS/8w7OIhcZFgulr17FO8Uy9we7RgFdv7/KJi+c5t3HYLOac7NMM3pZ+XPL2tRf51rVnmeoO49/eYHqfpBwFQ0p4iI8V1dkaD3TjOoQMSr98gUoWG6wXy5cwlVVEpE88YOGlXlkUxmy77Jd3Q/Sdk41B7Ukjy1ZvRj+u2D0acvo9noPXxMx3NE4JpBVMV0N4YV5HxNpyPO3whs2rAAgEhYvQzcuAImk5Ex+ykxzz7154guyFBFWBi8I/WQvSGxr7cIlWHtcsGJYubA3QIvgsdePy2C97YdzxipUop9OIVt2cezK2eQSZrKm8bjyeocz7uuR0cowSnt/68OsZXhSoEqqBIJ57RK1YefQQRwhpl8CKXjBz6TIUd2ZSOqpCScfpdMwPjZ7hsfg2//iT30Syr8K7F3zYo1asSrIXItxDJdudKROTkSnDUZWFcVQ6ZiZpXmgE4yoDBL245FQ2Dfu8lWFhE3q6pHYa14hk2wjwuUkoXMTZ7IjX9W7weHaTz8zOsPe+M5huqBXpwEYCnGIykFRKhygUBJMyY1Ymoe0YzaKI0ZHl+KDPX/+q36EbVby9d5Ff338tpkroXYfhFYeoFLN3zBC3EqqupHNqRjWPObN1xI0rGxgvqRpP4OKgg+iGxUS/iHjysctMTMp4EiI3wkv/QkRAFDkOZ10mi5TaaMxBCspT15ooNXzH2Wf4hs2L/OuPvQVRKaJZ2BS4OGfpXxFURNR9x+pozqxIeHhlP4SENy9YCXOgJFWGYZLzHZuf5v7uAR//nVcTj4Onru4L4qknu6Uwj4T92724JFE2eC5leBGTlh6tQvRDYaJlyPC0TEi0Xba7SAWBbJxsQvQ9sbLkdYxr5kABdKKaM90xt/M+xUfW6V8LYa02FnR2Bbw6b17KGCMI45P+QBbeyTEvwwJ9Ghb4XaqJDhaUW10m5zXJd+xxNO5yvOiQm4jOzozh/9Nh92sE/evBw1mvJETjEtNPgqiUApUbqtWEk7cBuSR4YJNb06XDQBBeFKPysP+07keI5iU6LlZEx0UQQiLslZMW1n78Ci+P1/j0jbO85fxlru2tUQ1g7dMG0wve2Ox2DlrjkhDSmx5ZyqGiGkrmOwpzf8liTdC7KogH6yzebshtRNotufa6Afl/2OKNP/4pnjk8w8rzNeMHNMOXa4o1jY0lqva4WIKA9NCQHViK9YjZac3wSk3Vl+EZtCA9MphMkR57bBa+A0H/eoVLJKYjOXyNIJoJVv/jRS5/3xne9EOf5tkrZzAPl9hnhixOwfqzTTRG0rw47bBc7vdEyRCOu72OPJ4xe80G9TCl85nrRP9dyUo3Z2d1zIww9v7gt/82Tz/1GpQhhOkeHMOwj5gXwR7WarkPWMwWuJU+/vou/vQ6ajzH99IQEqxUuHcWg3X4NAlKWzcvMIp1sLUjxfzhEeluzu5/bVldnfP/UvemQZZl5Xnus9cezz5j5sm5suah52666bkZxSgQ2CAhY0BcSUhGxrbGK1sirqRrXfkSspAsG13AFw2WkAUCSyEEqAEhZrqBHunu6qHmqqzKyvHM5+x5rfvj23ka/ZN/3Ag5IzIiK6MyI/c+Z6+1vu973+dFGQajCm+672FOPXMYfzeTCWySc/ePnCYyHo5VsOT0uZLPUFMJtqVpqJiurnI5bfPQ5gHC7wQiq85kPU7rCn1/kxe+6umyeS5qnKGuULcjPKsgR3ytAx3SK0J2sgbzznCqxrGADIeaikmMK7aj0krmq5yBrrCRtdjvdTjib1G3E56JVzj1tWNUtgxFKOfDpKVoPq04cu8aV9IZaU5Zmue+dBQ7KrAyDY74ufOGjzPOYH0LZ2aW/jUBH3rp1/it07dTTFziTkihFZ17FUf+qMv6y6uEOwq/m5DNBHjdGHucktd9tC/T6GTOw4k19jgjbbnk7RrOJMeeZAJEK6fWMh3Vogx1FUVg43UinN0x7taAZH+T8dsGvPr4M/zFV+6mb3lsnJrH2FC/qEgbFnYKle2UovK/WoH6vt/5P1dW7pTJpJZiEdcWLXVDFp/Gn32HS7+6wGAU0IlCtGUR5y7xKwqSjSqW5RI+ty3mbUQj7XQnYCyKVojTnaDrAXguxlEEpzbla88GV0lnINeYQB4YC1BxRt4MMK6ic31ING/jTAzVv/w2Z37nbsKVMc9cXaKfBAwznwPLHeInWriEoGzpCgYBo5cbPEe8Xt1JSM1PGacu797/VVbsIR/t3c1jt1qsv30/4VWLZBbiBahsCbWteEWfyzuzTBIPzy1IUpdDCx0ud1skhcN8fczTW0vS1a9kZKnDOHNpVmOiVDaqZiUmNTbdUch8a0Sa24zHAfUwIUPxuRf/Hm+Ye5KXV3L+2YffxehgSHLTKkYrmmdhfMBi7mGL4aqF7WmaMxPCSopXybiutUmkPSq2HNwqdoYxFnPemNfXn+C4t8vv/O3raZ4RGYudAkoK8NYp6K21iA6KTMu2DKPCJ7QzNIph7peEShjlwVTO1PQifFu6WEkp3VUYJoVHXkJTsrI4rbkJhyu73F0/yw/UT7JRNHj6wzdhIXAELHBS8AeGi6rFwQPbjDKfSeHRcGP6uUjMFvwRX98+xiALsC3NycEKK9U+3996kj986X1sv3iWxgWN15ciPGlb+D0w9w5of7TKd2YWuH5pg+/urqBRVN2UB68c5gXzV/j21iGMJcX9Le0rnB+06Y1DDja7bCQNjtZ2eKa3xKjwub61weXJDIGToyzDhUGbZjXmtnnxXgxfssO5/3gP/sijes7BKiDoGNK7xzT/pkbwggGurelkNV5QX0OjWHG6JMZhYnxqdoxBMdAuD8eH+eTnX4R2FEFHaGxY4ESQVyx6z8xwecUjCGTqbLCoqoQr+SxDXaHtjBhpn7wk6vkqZ7eoCRRAFfK+USkFqvw/FpVys5h1RjRUTKeocTVtcS5d4Os/dw8zT0A0b+P35e+wDLgj2HpmjlvuOouvRGacaI/nhku4tua6mS3O9udYrfe43G/xmsWneUl4hvdvfR+P/diNnHn3PuxEDpBZHSpbsoHEbYX/Bx6XX+izXB+yNapx3/7zRLnHue4styyuc643R9VPadfHuErzrSuH2YwbrNT6WMBMGLE9rhJ6GYebu6yPGlMp3uHZXU7M7PCTq1/jgNPlXb/1cyx88AG233SMAgeVWaRN8eX7HYsjt1+hUYsJ7JywnhKW0r6qmzLJ/JIUalH3En59+avc6ht+8VOvx8oVTgzeyMhBuSbNhmInIGqAVmLamiQetjLk2mYU+QSeSF2j2CPPZLIaBimeU+DZhRBMsVAWjFP5WUcZskK+77s5dy6u8csHP8uPzz3Jbz79MpY+GTA46NJYK/AGIkkLOoa08AkPjogSTzZ723Bbe21a0O0VhgC3hGtc421SVTF/ceYOGs8q7BSUKJswJS1zd6NF9dAQr2x+OaUMd88KoFGMcp9MO2TaZs4fl34887w/ulRjDEqVR81OmGiBDwV2zi3VNe4Oz3LY2+G3Tr+K4FshlgZ3YvDG8toFPcPZxSorM71yfRLvqSoPNImRCViOTWYc3th6jOs8h8hkfPRrL6Z+yeBMDHYGdoJItBoW1S8EPLHcYrk5YCNqsFh62rfiOk03JtYi6XWV2B3mgzGDLGDeG5X+J4tIuwJZUmJ98JSA3eaCEXP+mHfPfZ2Xhh0GRvMnf/ZatAN+z9C4XOANDIWvqK1rhm2X6tyEupdQdxI6SRXH1tR8eb8UWKSJHPJ//tAXeEXtHB/afinrXzhI9aohq1mkDYVxoPa4RzRvcfDXHmTz9ftxKjlbF9qsHN2hXosZDisszA6ZFC5ekOM4mrn5AZl22O3WsCxYmh1QCVLizKUeJpxob7PRb1IUNn6Qs7pvlzefeIybltf52LGv8LPvfwsXf6yLah8AyyJpWVTXpUjtX6/Z95UC60UjwGI0qnC8vU03DacEZWUJnbvQih/f903eWu/Stte5/+P3kIfPE2mzungLvb8Lse8cEecu48ybknhB4Elu6QVPcpei9KM2goS6n5SNFSlAPVvm7/0kIHD2COQOgZNjAe888C1+bvHr3Fy9yCf/5FWEWzJVswz4Iyky+lebtK/bZTeuMk59AWp9SYoJXXFRhcHpjNEVD5SF3RvjxAXRckD7BbsstwbM1ce0KjG9KCS5ISX3wL3qEexmMgWVRa88A5RS2lSjPTkEu4MMZ1JOah2xWGGBKkofWyDF7l5xahnImh4qMzjjFPtrj3Pl19t0opAb5ze4Y+kiO0mNlfkenZPzaMemsi33JK+6ZHUbJ5J7kVcU3ljjDzTRvE0cWtTOOix/4SpHfv8C53ttstwmyx2MgvEi6PfN8YX3/Rc+8uiLaJ3PidsOWdWieS4hWnDxexrjWljaIm05eIOC1qkxWV2aAHuy6aTlEPQKnFikwt5EkzYU7tgwXrYZHIHqusX8hx9k95P7qR8c8Pi5A7hhxkp7gL9vzGPf/1F+9+m7MZZFNC9rYeWiTMPY7WEpGysMsKKEwW0rDA475BUL6g16N2lGcUBmbKp+xlJ9yOc/fRe//G8/xoNfuxW3G2FmG6goYY9fa+0lVowi8FywbaxaVaarowmW42DFiXhMxzKJNbXKlAxspTlWVrB95wyTFZ/Lr1Wi0PqlHbojsQSMxgGzzTFr4xk2FnzmH0xQaYFuhtzxg8/gq5xhIQqROXvIWIuy5on4AKfiZTyr4DsPX0t1Xc6cTgTOBKJFi9GqxaN/fRO33feckHWxGOmAGXvMRt4iKPeaUCVkxhEYnK7gqYLD7g59HVJXEZ2ixrwzQKOm0uJBERJreZ4vJPM8NDrMd/qHOT1cwDxQJ2ta1NcKlAYnNqQNi/zalFtql1l0+9iW5ulPH5UisJegskLumaUwtsKJMvp3LNO9L+E/P34nxw5tsjTXx2mkLM/12d1oUnv7gNmP2Ky9xqf1XE5ed3AmOaOjDYyt8DuJeK89G5Ua8pqLkxjCM7voWkBRFzCslWt06Ar0tRuRN8UjbqeGyYEqV1/aIF1s8KZf+SKP767y3ENHOHrbZd565BGOHdwgnzVED7UIOoasahFupmR1h7Vn/2EF6v8fkKT/+Q+DyDd2hhRVX4zR45hoXpHVLOzYkLz+DpRdYLsFrlugjVAoAydn/ysvEm6krP3gfrKGT9oOsbRhcnQG49qymS/VsZICU8bLFMuzFA0fNcmwO2PsneHUkGyVEhTj2jijlN6RgP5RKHxofOxbXPzETZh2KhCSikwQ+oOQtW6LwpNFR2UFadOjaAjVTxuLi1fbzNXG7AyquLbmLn+Xx5NVPvE3LwLATiyKCqgM7NiifwxGqxYHfn7MbQcvUf9myGCnyspsn81hjTwXv8vWsEY09jHaIsts2nNDKkFGw0uo+ikbO03Ob7YBcF2Rfs1Xx+hMqJt5ZnPUrfH1yVFe98ofZvWLA+zYoG3wBpC0LIIdGB5Q/PmrPgiWobvZ4J/uf4LB+Ra2pQntFIXAiiaFEDhvDS+w6uRsFxXaT4hkwJ0YkRnkctAaLylUAWtPLVGx5T5VbTFwayMyON+WLqDCENgZykRNfdsAACAASURBVBLp2jALqNgy9avayVTCW3US8hJgUrEzlvwBb2o8xouCTX7i1Nv5ow+8jsIXQrNR4PfFuJ9VLMJ1RaZt2v6EGS+i6URU7JR+XuG50SLXtTY4Vt/h1M4CAEfDHVbsIfnVDVqnZYPRDlPfTu860I812f2RMXccv8C5UZujzV2JHjGK25bX2Iwa3L14gZ1JlbqfsBE3WAiH3L7vElHhsh3X+PL6cVZrPWpuwlZSZ7Ey5OJghud2Flh/boH3n/gEH9z3LR78o9vYes+97P9CymC/Q+FJUWJpsJ6uU93MuXfhPFU35cbm+jT6ZS1rM9QVxtov77Xm8fgAV9MWx/94B2fC80h7JcVp0pIiTn9OiMRtW6ahzyXLjIqABWeAW0bOjIpgGj8TWBmhSmiomLH2Wc9mAIi1S11FbOfi09jMWlxM57g9PMfjvVXu/+i9pC2HnRt9Qe0XgjBXmaEIxO+znjRZcbvicUWQ7XHu8MTOChU342xX/taqSvjDzn2cG7XRjz+NsU15XYasZojnDdG8RAps3lXn4K9kxIXDNXNbPLq1j1Pb8xyb3eF0b56Km7E7CulMKlTdhMXmkP0llffp9SXOd2YJvYxx5rEV1ZkLJ1Na90Iw4iP7v8kHLr2C9x6+k4UPPsClX7uXuG3hDqSIDLZl+hduCSH43PocB8MOG4O6eA29uIQgCTRGWYb72meYsQV20zwtP1vdKHAi8LtyKE1aUF03BE9XCP2UwM2pBun0a9/L8Z1cIii0hR9kVPxM/OzF89AibSyyUr7b9OO/N0W9fWGN9y9/jTt9l3eeeQuznw4ZLyns1JD7Fk6k8YaaaE5Rvyh/V7Ma0arEuCWMKbByIdsWAYURIu9+p0NTZfzh1ktoPezhD0zpITOolDLSAeoXDY8+eIKnussM8gpZ6dEEpkTdqHBxVUHdjcm10MABmk5EWK5Fmbap2QlNJ2IrFehExc64OVzjBm+d2Lj80JffQ/blOexEilORPu152SxM32NS0nEbTgQwLYJtNL56fp17WUWTmIxf3/g+KpsW7tgQdAvsRN6n7tBgLIhbitbnQ+LCoeVH+CpnJ63S9sdoLOb8MTVHAB+BnTPIAoHg5BUGeUXsFEYRlY29Rvl/PVUw7414ZfMkx1yfn7n8Sv7lR38KDAS7JbXUFtZDZSfH2BCuK7b6NZpuTNVJ8MsG2h40CMDzM25Y3KBT1DiXNXhid4WsDqMD5XS4AlkDhgctsprh9Afu4tiPPEa9FnH8+ivs9Gusr7XxgozOsIopLNr1MVEvYLvTYG1rBss2VEKBEm73akQTj0ni8uTVFQGOtQfEscvLF04x5wx5a/Mh3nr++1j66g7rv3gv0YLQUutrhrQl7+XDf5njf/Yhet0qceYQVmM0FnU3EX+2sZjkHmlhMxNMuDfYBOAt330X2rVwJuX7sgArFxVK75hN76/2Ebopnl1gjEXNS0tfq8S/FFoxSVycEjSWFjadKCSwc+peTNOLKLTCsow8e1rRTwK0sVisDPnxA9/gXc0N/qT3Qt7y0Z/DHRvSplyfk5TrQFPhdw3royYzQUQjiAUm5yhhZ1zcBmPQjQrO9gA7ziVpAehdZzhY63BNfZPVsMeBapdmJSaa+LheTv+oYuuFtel6YOVCtlVJji4nqU6Ug4EiFBlh1iz3oFxjxyX1t9AyRfUUaHBGGVnNprI+xh6lmEdO0v3scfLU5rqFzRLM6NH2x3iqIDsxwRsa0qb4ZfeiYcZLNu6wwNjgjAuShk00b6hectj/B8+Qn7vAN64cJok9omGAbWscp6A1P+LMW31+ZeMl3PSTTzE4KI2zcFvTP+LjjsVL6o40xgFtw2jFYXSoStKUiBBvqKns5qhMZLzjJQeVy/vDiQ3dEy7Dl00INywWfu8BOj92D7bSrJ+dh1yRTTwunp8nzR3+YtSgsq0xCuxU1gbju6jBBKteE38oYFyH4aqsf/VLOev32WitaIZiO5ukLhe7M1Ru3+W9n3g7L/nNB0iW66idPkW7Tr7YKpsHNlZeYOJYaMCy2YoFbnFWpqbVCmS5wJfqFaH+9keoYUTeCum8sM1ov0X3BkPtnEP+tg47oyquWzCOJTUidDO2T87zv9/9eaL9daH6umqaMLBSwhOzsnE50AE7WZ1AZfy3p++ieknJupkanET2h2AXgl05X3/k/It4ZHyYsAQtnkmWWHL6ZMamrmI2s9b0zHLQ28FG82yyzLAIpJC1MnpFlcJYHPW2iI3HvDPgatrkStLiStzi4miWR04fovNXqxQe8jrZ4PUL/H5BMmOxG1d5ZrIMQDevYmVCk45WquQ1j3S+ikpy1LefIrvhANGs4twr/5CD12xwV/sCjiWQw3HmYYU5l7dn2P3liGN/sElR+rONa+OMC5yowFnbQXuqjH/RBJtyXiraNbRvo22R/RrXhsLIhHWhSjzrSlE7yag908HrQ/eVEZ++cjPjy3WCa3u0gzFf2rmGqHA5szVH9xUxjXNjmhdS7H70fNTSP+DjH0eBSokv9z2cgchri3YNlRpUJoeri282KGUocpuiUAzHAZ5TMFcZoSzDxk8ntE+mdK7z8b97HqswVC4PsbRo4J1uhJVmWIUgz60owx4lktFTDyhma+JtUApdkuXihZCt2+tEixYzz8Lybz/AqY/cwfLMgMWFPmnikmc2uqTcztXHjA/n7NzokjV8vF6KuzUiLWwGk4DVxS5NL8IYi186/jlA8pUOv/dBLv3qvXhdOfw7EXh98DsWxobLb9xH95cPsPxDF5hf7nNlp4UxFp6X09up4SiNpQy2o8lzmzhzSFKHnUnIJHVZmusLsKVQrDQGhG5Kqm1as2P++4mP895b7+dsNuIT1y2xc2ebcz8o1+wPxM/gxAYrN0z2F+y3E8yFKpar+e+nb+d7zqKMCn8KF3GtgiNOB4C/6N0OSEaYE+tyoQCVyvQyq8LCQ/C108cY5v6U7OuoQii+hYNraZwSgW9bRiYhiDQv0p7QMhGapvgDCpSlORZucXNljRXH4ifOvZnhJ1ZKGY1Q85zY4ExkoXAjgzs0dJKQ3Mj09ux4nqiQ2JuLgxkO+B0yo7h+YYMXzl5iPWnyjv/7F9j9yXvIfTGJW1qKgOplQ+MshFcNwecbDH5mie1xjad3FpkPRkxyj6uTJgAne8tUvZQkd2i6Eg9xZdzi6qTBarXHrfOXmeSuwKS04vraOhvrM7z6wLOoDO70XV6z8gJqGwVFALs3Sfd7r5DzBnLYv/Am+NzF6xgkAY929zPWPmPtsc/pUpQd/HFJwd3J6vSyCrt3zBF0xFujMvkE0B7koUXQ1Xzmmy/kz7fu4Nv9w1zjX6Vmy8TepcArC4HCCKzFtXI0iq28TsueTHHvgcqmsTGxcTnub/BA9wj/9erL6Pz+AcItTdRW+P2y4DaGcghE2rBImrLxrmWzrKVtJtqjF1dk0lfSN3e264R+ylo2y8n+Mpm2Ofvbd2PlcmhThYU3sLBji3heMzqWMThR8Ox7Zrj41YM8t7NA4Obsm+nzzOYStmWmealJ5tJNQnZGVTpxlTh3uHHfOiuNATUv4aaZdUapzyD1iSOP/3DsL4kKl61iDK/Z5vJ77+X0B+4qoR7PfxYBFNeNmCwq0sTlZcdP843NI4x6cq9GmU8nrjJfroW5Vryu9tT0ufQHzx9c3IlG5eB35HA62mfROlOwfrE9jZnpTyrTrNPCWFS8DNvRpfzQTONhoux56BBAw5PJzt79/qGDj/Hq1lOEyuPYx36K7Y8epH9UkYdSeLsT2YSDnRRvYKivCd08zW2iTKJybAz9ojLNFt0jMLbKyJevPHAjTmQoXMkPdGKDnT2frZfWLdpPwPqjyxLJUUa6uGVkzV4Ta4/66yhZNybaYyerMSm8KQHYLaNg9ojhN4drvMC/TKhyfuxL76L1sFdGbEhzykk0dlzgjqWwpJAippdJcbj3u7ZTOcB3MiGK31i9DEBfp9z/7PVy3ankILpjjTcyMulvGimmLHji68c512vzVHcZx9JcjRpsRnV6aWVKes7N89t9ou0pJb1ip8x6Y6olqXKYBbyodZo3NR/hjdUJ/377BXz9SzdhFc/HYNiJweuLJ9CdSOyFOy5jSxJpjOyMqgyigM1OgzR3GG7ViCOPGW/ChXSOK/kM37j5Lwm2wN+lzHuEyqYhWs1IV1NoZGz/9TXMveEUp5/dRxY7LK12SMYe8cjDGIvdYRXL2euegeflxJFHVoi3u1aLmalG1CoJeWKz3a3zuhMn+cHGo/xU6wo/+ew7+PZTRzn7tjmKQF6/PSBNuKnRLnSu87Hbsywv9mhUYiYT8e0XRsB9ypKIMUdpbm2ssWCLxDh6uE1ekYLDGxucqNxPC8hDqG4WdP74APOVEZZlGKUecS5TUQDfyQm8DM8poV1OjmdL5FA3CRln/vQ1DewM38kJ3YwD9S6vn3uCN9cu881Y8xe/930EHUsmuXv7XqRxhwWVjqbSLdhcm2GU+iVB2JahQZRRLM2gJilWkmGqAfZ2H1OtMDrW5LpbL9LPKmhj4SmBMBXGYqY5xnNzjr/iHMmMRe+o/J1p0y3jMQKRMJYyUVVoVK6F2qtFHrtXrKpEYkeMrbByg8oKiopD7UyfoiKNj85nTjCKfFqtMXEhNNSqk3CkssNy0OfVx5+lf0QRdFK8XirTIQ3zD/WZLLrUL0SkTYf+UWmYqxSK46uc+v3biU61sJ0Coy2KQhEGKb6bo2ZTHn7/C+U5qlpYBQwO2FR2C5KmYryiSFoKr5+XjXmm9F2jLLKqIp5x8PsFhWuVzSxD75jDzi0Wo4Oa2c9UmHt8gv/VJey3bLN1po2KLSy/IGxGtJaGLNaG/MbvvoP2uy/K+heDPyjvmedK1GKzClnO+Jo5jI2oIO5/iJmbdkhTm0niTRuCeSHT+uJwzJ/d/xIuv8xj9IJ9qFGMPYynJF7jyb3HGImTKYtW1R/Lvws9LYxBrHu63SCfb9C5IaRzvUXaLrj2Ny9w+AfOMUnc78nhFujZ9rBKMVvmqvsKHfpoz6alJig0a1mbJbtPT4cUWGxmMjAZFgF6rUrrbE4WKlQuoKy9tcsqQOUW9h+1+eSTt7GWtacpAXsN87H2WHR7xEauc1jIml23JRlDyNuyj8TGK+Nucvk9dsqZ4Tzr4yaXey1mv+WW54tycl6em/OKorJt2PjcfjyVo0oKetYUoFp4cYDbmeAMU+zdYfkzDnGZIHrf/LlyoDKmHwd0RiEmknv+w4ceQzdDOtf6XHqNQzwnjQR3e4KpVspJqEalEkNkRwVWUkjjyBaVR16xUbkWrkpgE3Qy3O0R3ZsaXP6BBd747q/yqXs/RGcccv1Nl2gECbtxdZoqkKUOX3rxByhCh3jWgSzH7+b8Qz/+cRSoloWueeStCjpw0KGHdm3yqmy+TqRxKjlp5OK4Ba6b4/s5g0nAyavLbAzrrLZ6RHMOkyWDPrKPpB1gxZJramUFaChaoWSUOgpTceV7VQ/tSYduD6GscilqRysOadNifE3C7MceRb/4Vm44fpl+FHC0uQvlQS2opERjn34UUF0YM9knWGZK1LerNFlmsxAO+e7FVZq1iNBK6GhoqbJzERq8gcGJZHHUDuRVQ1bXDG5K2bqtwtVPHiJKXbKhx3Xzm+S5zf7VXXKt2L/QJQwTlmYHWJbkubm2xrULQjej4mQsNEasdVvsTKpEmcu/PvEVnkwb/PP6FV77578Iymb8hgEqk8mDN9A4sRj+i4qFM1C849TbCHYslFfQCGORV5ZTU5AiNdeKpjMpwUaGk/1lOUDmMjkFOSyDHHi0B+NlRfB0hUuDGUaZj68KBmmFUSbQpHH5+/dCy3OjyMyeZ0robS13Mo2PyI3N0XCHe6qneWnlKn86OMHpzx8lmZHiNA+tslDWfy+guPAtam5C1ZY4ElcVHKlsUxiLdxz8DmeiBa5MWpzttmk6kqXqDwyFa1HpFLhjjZ2JnME4EM1ZTJakS3jply26z87SCCSOYzcK6ccBjpIMvH3VPjUvYTuuTXPwDtU7XBhK7Mzx+jYtd8Io8/n4+Reyb1+Hn2x/gzNv+zCX8xHOwf3s3GwzOqgZXJ/RPplMoQ1pwybYBsvXVP2Ua1pbFFrRssdUVTotTqsqYcnpY6MZFT79TOALe4W3USKjtLO9DReitmL5G4ZLgxm2IslRnWjJKNuLhJkvp6mhStAodvMabWcksr8yQkQbxbAIpkVIamzxcJ05hD/QDPcrtC3FqDsx5QS1fD8lkDTFAzJrjymwWHT7rNZ7ALzx0JNsDupcc3CDm9vrNO2I0ElZ222h25n4sIDCMxSB+LPs2KL1uIu/a9N81qbwDeO1OrZl2BzWuGXlCsdb21S9lOPtba6d32S+MmK+PiJwMmpeSj+tMF8ZMUp9vrx2nN6kwij2uefIeY44E7bjGnd9/mcwWUr1vm1UYuH1YeZUTtqAtA55aNBrVaIFg84ttpMaM0GEG0jRNEhk49mNxaM+W5kQlvj6z0188op4oqxC7pmdGowNRcWQtDXbtykOfFpIiAIyyhjFPknqMEk8Jok3PTQ4tn4+u7R4PpNxPpSJXS+ukBY217a3+Hft0/zT6ojMFNQuKsbLFkVoKDyZLDrjQrINLQmdH+738Z2cdnWCYxcMJ8E0TsVXGRqLifam3wP5OcuIv8jSUqDsBYRrB+I5eb80zsBuUmU7qZVTUpdx7hMVnviGbClC0++Nnimnmt8bByB/S84Bf5e6ihgbh9/bfhnutoOxpcAyQnOSBmte5mQDwZaAo2Y9Mb7XbJnCLfkDlGWoOzFtdzyd/sfGoDMbO5brMpasKSqX19LfkbUsmbVYeEQznAQME5Ee7xHOB1lAXIh3t+qkU/9tXMhhsFZSgCXv2SfRDstBn5eGpyWrT0f8+RdehPYMeVX2J0tLDALKovAUVqopXAu/b8hzm/lghDaSd5tlNt9/4iTGgNdMaDYmHAu3OO5vYJc3xjLSVMhDyAP53bWzLvNf9aieDEgebHP+ffdw+C9zlhd7bGy0qNQTbji8ju1o4qGPScQDXavH5LkiTyRndyaMSFKHjd0mk0QOmrcdWOOW6hqf6N/O73YPMfjbJSxfk84VuANwhxAtWEzmFZMFhTeUonXtx65lGIuvtxi5ZbSaopuEjDKfUeYT2BlzjhwkH0lSmYgVTJsmTvla5hVRa+zeKFCeJ9ZXplFoAFHmkBZ2GSUDWSGe06SwyfTzxzbfEb+rUOoFcAbw2vaTvL2+S00FvONL/4JkxiKrynoi8nOhz9qpNK8m8zZWpmiUU9hRKp7TInQxtkL7rngPQSZjxhA3xaNdtdOpVL3qyER5OPHJcpsL3RkmR1M6NxvShot2haRrHIus5pDV5OArZwGR7lLmqFqFwY4LAfoYMz2jGcvCGWdksyFF6JAsVBhFPifmt0lzh81RnQOVbtksl8gnT+UkbU0WOnI9rtzDwfE6QacgnvdFmTCS18vvGdRTZ5ldHMiaYslzHHUqLNRGdAYh169eZfNu2P7Vw3zsp3+btGEx3mcY7nfKM5QmnlFMFjzSmqzBdjnFKzyLpKnIQoukZQvgaFAwOCAxNK1ToJs57Qeusv6SkKevLLF1pk39nM3+m6+itj0muyG9zTqeyvGGhs+cuJ+8Ivmpbj8TibQxUjhOklI6DViyb4PQ1QEcWzOKfaHm18ccnu1wcHGXYiXh6z/6fjrXOejAg7zAihIYjDCug1WpYGx5/fYibXRdImOwpdAxloWxbVScYkUp4/0h/eOQryYsfMvimV86JLFGZfxbMvRl+JPbBF5GbWbC57dvIGko1HCCletpBvs+p8vZbAHXyqlaKf2iMvVkez1ZL0HWzMKTyfVeA0olsPMCxYn/knLU2+JKMsOS20eV6/1m3qSqEomzUZl8bWk2syYT7bPk9mWds7JpDNq8M6CT1/jEqdvwVMHptUXcLzYJega/Z/B7mqz0n1ra4I41fl8z+0zOMAtYKNcOty9xSelClXiljt0ZQZphtGEy7/Ci132X/zZYoOlIbvcw91mt96hVEqzMIo8cPn7uhVz7X59l+YubeB1F9Xyf3lGPZKnK6Lo2ec1DJVqUEkpR+IpsJkCV01uVy/NnlEjzg+0ItyvFeTxjEc8b3tn6Nm/4zM9SCxLO7bRZCIe0gzHLFdnTHLfgAzsvJpmR91kxW8OO/lcrUI0BbbD7scBlRilpUzoO2odgO8bzM4JqilICNYgij2qQUhSKIzO7DFMf+0e2cCKLzTvquP2UYraKSotp3IuVSSFij1NUbywS31jwaNqXhSurexShI6P10KJxQROe8rnyMy/kwG+d5txOm8FzszzXWcAU4veKJj7VesxMGBHHLrqeU3+uKzjzZZEI7J/rcXp3nvbsiDhzWHKGTLTD9V4X/dJbsWOLvGqRtJgedLQLlQ2F5WryqtwL1y4Iz7usj5rUQ5H2ZZnN5Z0Wg06VJHeoBwmTXoUodRmOA5bDPmkpy2uEMS9fOc0Nsxu8o7HGr53+J/iWy5F/+yCVL88RfrZB7aIcFHpHHdyJnnaV7dii98l95CHoTOHbBboqB7c5d4SrimlW4Kw9ZlaBbVmc32nLRCE2skEp63kPTNfgjGXDruwYeg/PE+Uum3FdUPiFy6gMuneUlgw4LVNG+V4xJfkO8mAaHTPrjnll/SkyY7Ne2Hzwo2/AGVMejsHry0FhbzM0qsS8Twxrwxad0lt0e+MCjw4OkGqHz2/fgKdyQifl5vmrLLrio1S5QfsQt2xGy7YEf0eyCdXXNFnN4A4teKxBsK3ofnaFq5Mm7coE15bMwHHiMcgCjtW3meSyexyp7/Loxir3zZ/jatSkk0pXPs5d5qtj7lk4z2s++3P8XWTzrgMv4tS/WiWrGla/pKk957J5u9w3O5HpS16FynM+nSfmefDKISplbERsXKHfOV128xoNK2G3qJFqh4fOHaTwpfObhda0INCOTOFMGf2AZRHfv0AvrvA3vZvJjM12XqdXhMRl/EVVpfQKyQdr2RPW0jaZcdjMWiLvtaMyn0zeU+878/30spDjH87onpBNP9yRxTMLy060xZSWrV2L04P5aUi2QnNpIN3QL2+c4NBsh04UkmqHJ0b7GaYBla/WsXoueUUmlTJdFFx/sGPRuyknrxiSFsyeNMw+qThQ76JLeMn5QZudUXX6mj23s8DWoMbupMrOqMo1zS0uDGZp+DG3Ll3mjYef5PblNf7F0lf4xcs/wGvmn+bETzzMqQ/dSXb/PAsPi5Wge41D64zGHZcFlxKJoHIMz15dYGdS5fYDl1AYVus9Gn5MxRHg0WrY47ArU7n/dPFVFJ5MF42y5Pkr5efVKxZ+p8z2O+yw88QCWS4bbZ4r8swhil2SzMF1RYI4STw8J0cpje/mNAI50I4zj1EqdobAyfnRxW/wnTIP75YP/huSWUhnNfVz5eGvEG+mdhVFKD7pIoDNToN+HJDmNmGQEFgZM86Yfh5Ss2OBZTkdXAvqysJ4WorBUianpwcSpOE3gawukvQnnjhEkku2Z6IdEu0wLNeWTNsM84C6E0sRpyTPVJeQqMQ49EuJ8NFgixv8K2TG4dcvvpH7v3g77siS908qjUa7VIcUgY2x5f1UXTdc6TfZSWr4KmNSKk6KMqvZtQoKFPvdXQDW8wokkomocoMTFdKU0VIoOpHsFYUP42Ub63GRj3cSgdWMM59x5pXFai6AnMIV4ruTUndjqnaCV06IARpOxPXhOks2rDgRr/ruO0UxYSz8XQtnLPLecDOTbMXSDrNnn9Q7PheGYidRlqEeJnz18jH2z/TIEofVZh8bw25R4+Mbd/LT63eITcAu94II3JHBHRiiOYvx9YkUDgML5+8eES9txyXarbDWa2FZhrAZYdcztLYYDirYtqExI0V+ZxzieTmul3PdwibVZoxjaW7wr/Br80/z5HCVrA7OVY+lryuKitzT1ulCprk7UkQnM4b/691/gtaKtUtznDh6lVQ7zPkj9lV7NLwYYyza/phr/XUAPtq5F5VK88woS6ZnZTPGmYDXl2dxcMim9amqRB6Vsl6thdafFvY0tmucutS8dErv3QN9TXIPXWaXzgQTXr34NC8LL3A2G3HfE2+m9ahH1hDVkt8zuGPZh7Ur1FqB+YE9kt/RCGICJ8eepJKskGmZdBbyafWGFM0KWIi03J0IuT+t0ssqNP2Yepiwf6ZHkri05kc4E4vBIYfKVkI071KUUxqZokJWdVCpxk4kusbbjUqyr0H7DlndJQ8dkjmZYqlJind6nUuv9hj86wFx3+e7pw5w5/Il7lq8yKnRwlSmmWmbZ3pLaN+AgqzuTGW3kntqk9YU1SsRWV32lKxmoSeTcl8xVPwMy9VYnlhisrEntPNGzvk3O7zzfT/PzFsvs/iQWKP2rDC1q+It3WvIq9xIdmXNIuhJMzutWSQzFoMDDlkdklnD7j0ZJ971MMObF3npmx6l9q2QyoZN2oQLZxdxD4zxWzH1hREAg6PyAOaBxWjFZrLsS2wLYA3GWGlGtjJD3LTRNoRbhuJlt5GmsrY7ZVZ24EpWbi+u0IsCWq0xd/3Nz/KGt32DZDFENyromQaWV1a4roOayFRVN0KsXPZuE/pCb5ZDGmoUoQOP/i1zjJds/K7F4uc8Nl9acOKmNYaJh+MUrG/MELYiXC+nFsZorah4GScfOySNP9fB6cVkRhqJkpc+pq5iTib78FVG04lY8vtUduReuxPJmzW2yNrtuNwfhnKmPf9P6rzncz/KnDviqWgVbRQXkzkmhc+wqFBg0StCxiVQadYZcU2wzlbemGZZt+wJa1mb5+IVriQtrlvc4OkHj+Be9tAudK+RhotAsUTia5RF4ctZ2B3nLAd9no73UbPjUt6uKXyb4GKXyYk5iq0d0KIw+Mj+b/I7z76CRLucGc9Ljnru0e1XWT2xheXK/vylNdStSgAAIABJREFUteNc/S2XxUcyrryyTf1KTtx2n28ygqgkqi7uIMUZpQIliwXcJfleEneTtAOKisvFNy+w9J8f4NQ7P8RrP/6LOENF3U+IBtIoH2QBV6MGFyezhEHKE9191L8rlocidEn/J3JQ/3EUqOVNyFsBKsoESW2kgCg8UJc2mfQrpKlDErl4bk6zPhG5GXB52KI/qRC6GSuvWGP22YTutSFpy6eoSOevqHrgfE9ArV+agAtTZg3JC+91Ioxl0T3uCpQiNay+7wGO/8Bpzg3bHJjtovaP6Q8rKLukmClNUSi6kwqVSoryC6IDTdxujNOPONrYYXtUxbELksxBa8UxR3Epn2GoFd3jAcG2XGtWM0QLcrhxBxaqAJMpnAnYkcH/2AzhfTuMPrvEbqdGPwpYaI5YnetRm5kwnPjsDqqSERd5ZEOfb186xNmNedLCZhT7PN5Z5f9Y/hy+5fLBa/+M1+y7lcvvvZfLf3oEOzH0rpUOctA1pDWFE8lDXdqx+I13/CluILEaKsinMgeJW7BxlKZuR4SWS2oMcSdA5bI4QznpgKlUE2SKmtUsGufg/MmV6RRgL3B8T9KrjSXy2ywg1wIw2ZuE5EaiFABuDi9x3I2oWin/7A9/HmdSNjt2pYvpjUTiI8UV0wMWwMbF9tTP+vXucZaDPpm2OV7bIircafbccW+Dt7a/RbCT4YwNad163uNjg9/TaFuuKWtoFl66jjcwDE8I8r/tj0nLjvfR2R0u95s8srMfgGua8kDftnSZM+P5qWSik0nh4yjNtZWr/KdX/Rn/8ehNbPzMvSw8pKmuW/SOOhQ+LH07pvDF52OUHAAnx1KMgtnqhIYX0bInDAtZWPagRm6ZH6sw+KckjF0aC88fiO1E5Cp2Ihv6cL/CiQ3FJ+dZj5pMCr/MkZRYH9syXEznaNkTUmNTV5LDWBiLpj0mNh7DosJE+xz3NjifLNAfV1j/4Vk27qlh5XJwjdoKbyi+vr1DgLFFtqYdOP/4PrbSxhRgcKS1izEWS9XBNDu4aqdsJTX6ScDKX1/C35EiTXsGlVkkMzItStoGf8uZTmnjWcV4n8XmvzvMPfsuAHCg3mG5MWB3UmVj3ODgTJdGGItvzNZ86+pBktxhlPpcGLR5arDCzyx+kbaKeOCRa/jMDTMM/vndOEOb/omCqy8v8DuG2mVN/4iS5y62cMYW6UKO7nkEQcax1g4PXTwoFFFj4VjiT3OVZnYPTQ1c6TcFNJKa6YZkaSne7EjWGaMMo4Oa5QcL8jN1JrGP68pBw/MKkbNZhiyT4jUr7Ckkac+LmhU2gSNFzmuXTvLqMONO3+W6D78HJwI0hFcUedXCG5Q+9MIIAMWxptPPfOSSF5IDWfWEpDvRHnYJQwNoln4huRZrKveefs8I8Mwd712fNGfmHlaceXKVq5PGVJ5VsTO8Ur6rMHTSKsNcPHxRGd/TzUMybROWsuIXBJdYtEeMtcfZrxwmvGrhDuX52hu0GluuWUbPe3A4w2g3nBYYoZ0w44ynhemo8Jl1xlTL8Pmvjq/F27VxI2ng7q2bhSvX7A3N1Oue1oUXMPj9VZRlUBiafkQ7GJdTOE3NTYgLl924imNphlnATlor109X1rTKJi8ILvHdtMbL/uoXSL44j5VbOFH53KdQ2c1L6Zf8XdpV5YQXnLGs1xtxnaKc5h+e6dCLKyzMDQidlIn2uJy2+e7Jg3zxU3eQheVBTUuDcLxs0bu+lDRf8XBimBzOuPpX1+G/+gJ33v0cOIZmJaYoFJNt8a1hoFJNyFKHvFCkqUPoCwW+yBVnO3P8xk2f4kcXv8HJZB/ff82LOfmBG9GOIWvn7N5o0X4qZ+Z0RjSnyml4eYiLLX7h229hvFUlaMVsDMWHbKPJy4mNrTQNJ2belubpyd7ydL/Ttrz+2hGK797eZxxDVoNkRtH5/ArKMhTamsY07a37efmcdSZlgVa+h+LCKX3nmoVwyJ3NC/xvzSfYZ4e88os/y/Bvl0ibUF0Df1digYSRIRNBVa6bRkHtkmQhO5am6qZSHLo2uuKUcUtgaZFyqkmKdsEYi+OVTUa5z6w3xrW0RBc5OblRzDVH9C83qd+4S/emgs71pbR9mFP4MoW3kwJnUpBXbPKKLdEX5X0ztsIqNM44F4lmYKEDm7xZwcw0MKsxnc0Giys9Zpf67CZVnhsssOCPGOc+l9NZEm3TDmRNNEq8p86oIK8onFhT3RToy/BQSFY1eENL7EdA53ILPZMJBK89ojU7YnccooZiobLGNqZSkL62z13tCyz/mzNUN+WsYmfyeo8XbfFARvLvrC5TzjyQe+pODLUrmmjRImlrrNzi2B8XXH7vvdR+9jKPbq8SLRom+3OSuYJbrz9Pfq5GGrmMhwFbkzrJkZjXPfc68lCaKk4ZT4Nji8w2TigCu7Q2iUqvd9QnnbgoZegMqlS8jN1Ble64wkI4xLU17eqEuX19/sf993Hbf3iE8cGa5J5qocsazwWt5Tw9jDC+K1a6XKP6E5EZO4qiXcPKCmGOZIb45gkbL9Fcc3Sd01cWGI4DJuOA5aUuSVyq5bTCKaOVjGvo3Gwwto3x5fwQG5deIXYCbRQ2YgnxVUZg5eR7RGQja6a81wWM6Y51qdYwVLYsgg2bb3aO8nD3IKFKmHVGLJbWo0PeDtooLqezDHWAQvNcvIKNlqLVuGzndb7dP8wz42WuxC1uaV4hXBfyctI2BDtGVHuxnKm/R5BD4VpEcy6nRsI1mWgPKysofIWlDdlSE3ecY7KSzeKUVqxhQDcLqdopQQkmvW7fBqGbYkYOnUEocL+zLY79+6exE8NkXhQblasTtKvwdmOGR+to3yZeqIjctzCkMx7uMBMSdbm1hqd3yJoeWd3w+fXHuel334NloHJdj4vbM9xw5Arro6bY1zIPx5IiuRtXOPMTK/SOS6qK1035h3784yhQDbIQGTlsitRSydQuBVoNrMimSGwsZYhil/4wZHuzSasxkfxBV3xEVSfl4utcsprkXLlXu5Br2SRK8JGV5hjfRg2kGFVxOpWX6MBhtM+jtBtRu/+77Hz6BOPMJ84dTl9ZkDDwQKYVrpcz3xph25ost4kiDzPwKHwLNYpAiyx1uT5EWVALEmarE0LlMdE+D0RHKALZMIKOoX4Rgo50qoOOyBGcjujRkxmLjVdnuH86SzIDOnseVHJlp8Xh2Q66KGWvuY3taJxqhu9n1KoxeaGoV2L+5YGvcNit8f/2V3j7//PzqDAkr0rHenhAcfgzMZUtw2RBpJRZVeRBVi6HoXPpPEZbbA7q6KH79/xhIJu2ZJJqNBCsuyIx1EameQbZ/GymFD2hwkqRWr+g6MYVQifFtQsCOyPVNl7Z5U8Lm1TbgtHXsjnnRpV+IIe6E9NSE7YLxQc3X05lSyacIORgO5brsFON2gsL53lfgD20y7xEl/taZ+llIctBn1Hh46ucC/1ZDoW7nE0X+FT3NtZfFOBODOF2gZPIZuOORC6sckPnrozGGZvh/1gmq1k0V/vs/PFBntpZxnNyFgORdbxk31k8u2B90ODSeJZHNldZHze5s3mBlicQgye2l1lt9dga13hxeJYPHT/G1r+6l+GJgt4xm/HtEbPPZdgZ7N4QYKeatKYoPOnWB5c85h81HKh3ybVNrN1pISmvnaGnfcZa5H7VK0biFuB5WW3OVN5rafk6bQhMyx9oduMqz40WORsvEGt36t3IjE2vCKmqlAybwMpYcvoccDs0lBzqZu0RD0yOc2q8yPKHfLr37CunELLAuyOB61iFTHEL35ImVqkaqV1QbKd1NvOmbCr/H3PvHWNZlt/3fc45N7/86lXqPJ0nz+wud2YDN5G7EkksRZEUQVOiKS0siTAsWZBJ2BJEG7JFSpQA0TZpkIYMk5QlmmAOMtMG7nB2dmbDzOzkzt3VXbnq5XDzOf7j3KpZw4DFvww+oIHpnq6qrnr3nvv7feO0zSTx2V806PiWsfZlTlK6dMMFJo7xJuAPQMU2mMWdCer3oXkLSt+w8jWLeC5OGOobhp0Phby8d4pRGrI1b7M5anOyMWZ/2GCSBrR863nrhguuLu2TFspWSTgF37v6CnPj8la2xkO/XWA+9BSD71nQuAPeSHLlFxZMz0HckzTvaWZnDMmKtoz1noM7kizVFryydYpy4FcLVpWgbASRmx3LjQDyd5r2ejfgD3NUatF8YSyarF2DKCyzs/NBRectyFKHZpggVYmUmiSz1QOOU2IMJInLNA4YV7/SKpjJGMH5xiFX/B0ALv/Zf0q0a0g7Bu1Z4C3c18cePFkNojLTx0CVM3QIvZxF6nEwsSxwJDP86vqUQpMjCYRgu1TIpJKfF1hJYCVNOloMZVrJgEtIeoL6XcmdO6tkWuEKTcNJqioqm8IaV/61uPSIS+8YIZfCUCKPK5Deztb46bf+EuGeZWWKmrUNyAK8mbae0+o8MZLjqH6xUCwKl1h7DIsa4yIi1c5xYFNdJTSq73U/a1SJ2RqVW7BLFHbQDfsFRkJtyzLrecMQr1rf5L1+l7hwmeU+mXboBItKuiyYZj55qZgXHoWR7CyaSGE7NVf9ybG/909nD+OOJVnLDrMYQW3LHPva/X6K9mzdQBlU/Y/aDnwH8xrD1OYf7E4bXNuzg5eSmkXhURrJKa+PiivwMbHheUfstzeF05+1v19+1UpQvQOH7PU2ox/+AK///sNg4MHdZXQuiZbnZIljwQgjaDXnJLHHemfCwf2O7ef1Cx7u7fE+f5cPB3PW3BGy12Xw6QUqEUR3XU59Maf/mEPaUvRej8kbgnjZvon+0KCnLn43JjkMmRzYWoncKGqV9/SoI1dVE92tjVX8se2kdBcVGP5N/ugjOal2rbzZnRr6byyzVFtgjE3ABhsGGXo5StpamThzyUtFWtru48JIktKl4aZcCbZZUTV+c94hvOdZpRD22jeOXZr8iQXjbUqnvReNEscsX1y4jBJ7ZtsQOg0Sa5Wq1G6iqKT3TsFm1qXupIxy2/usjeThzh6TJGASBwSrcwbbLcKVBbNTgiKQ1c+0QJQGI4QNbPEkRV0hCkO2FJI3XOuHcyXaV+QNB3dSsljxGF8IcH5hiqx8k3FmU48vNfY5V7fVW0ve7Hgm0QjUQpI25TFrWwT255817Xl5VLmTNQ3GEcgosiBJULA3aDKcRIwGdYb9Ov6pGfFXepy9uku9Y8mSF/+r9/MbFz6HPyxsF2lhjoGk0hM2WLBlfbRHgMz0tMSbatKmIG9odL2w4O9zrxKvag4XNQ6HDZyZQGQSFUuuH6zQeHiAG9gzf+ewxVJ3xu0vnaW2a8/3vC4ReYkO3eosFHj9mLxpF7bWnYT5SdvIsJj5eF7BIrU1R+1azLWDVZ5dvcfdvSX6dzt8+ydfZStpkzYkxnPQvRZibntWTRTYvs68QIymiDhFjGfgOog4Q+QlMs6JzzZI2zB4qiR6OaK9PqE0ktOrQ8rc0s79SY1GPUZrwTz2KEpJt7ZAZALTyWyXamk4KJs0ZMJC+9RERmYUp70+g8LW2j0ePCDaszL2IrTnU+kKew9WLHbzvsaZC2ZnLAEz+8lTSGHlw4OizlQHHBRN9ovmMYjfqsCnSKbs5S2W1KyalVyUMNwcL/ONrZP80gsfJuhrvJHBGwuSrsAfVaDbQlfqGoksLFkyO6G42V9GCs2sDGxOTmnenUnnOTKKkEFw/KxsNmNS7XImHLA7bzLJfEZJyNa4hdtJKQ5DzJ8soSPNE/VN1n71bRbrgsPHrBLBOKBDB1kaykDixJUXNSlwZwVuf25BUWlBhslTq/Qfcfnn3//vOSzn8IER5amE2Z0WV9f3meceLT9he96ynddJjVJLhuMaJ96/jRFQ+sqeJ3/O11+MBVVgS2m1RfV0zSdtfBPKsHeA8TRumBOEGRhBEOS0l2aUWjBNbNfaJPO5PVjixON7RPua/mOKfL1jl9Hx4rgc2iiFDlyrkfcVRSeiqHtoTzE9GxEeFvbh+O9f5e4/fpqzrSFXWnvs95voTCHdkjj28LyCLHHYvtdjPglIFh6+n2P8ktkJhQk9dN1jXnj4FbsQufmxh6ShYq7F62RNyyZmTSt/RUPesCmpWtkUTpnaIaR2zccIiPYMYq7QWrA/toPcnf4Sp5eH1MKUqJZwojOm3VxUxfeGZpDyvae/wffUrCzkl/+776Z1p+TWTzxB4y6kPc3pz03J6w7ezDIQWV3Q2Cyo7RiiPUPSFVY2s3AJvZzamvX7HTGoR4hvQ8VIJImxnjp3bh+GAM5C4840bmwPU5mCO7EPi8WaHbgGL62xOW2jjWCSBbaCQVt2dpyFFNrKn3xpUzjt15bUVMp7a3c56Uz4H/e+nTd/+VHiFUHpY5NQd+0Q5yRWQiGMHR5FNUQcLWGLwuOwSla7XNtl3RvjCs0ofzfc5Iw7YGPRpXlXVwEignipWgZVxdxEAvfAsvFH6YnZS12mZwXzl3ps31+in9a4drDKa4OTdPwF7TDhzrDLdGZTYX/u6x8nKR3eGqwx2Gpz6+UzfHDtLnfyLvd+8gOMHi2gkRP0DdErNso92rHvX+kKajsZjfsZTmwZz+FVybmoz91JF43kpGvDrEZlxG7Rolsd/PPCo30zOZaAHTE3llHl/5E46M7t77UrkP+ix4s3znN71uNavM6gqHFQNKirhPtZj4OiwdvJSfplnevpCe7lPXaLFhtZj98ZvpeXRuf505cfJW07DC9boMpJLPtdBMIyStj305va0J+jpUellT9ZO5z1DnlqaYtmkNL0E+sVS3zOBX0bG195N1VqAYy8qZG5XboXa4LZGRuYdJQtExxaWVbrjiZ9cYlhxWaEXs7GqMP51UP2xg2Swi6/mVa8tnuCb1l7QORY1DAQOW+lp/ivv/gDOF94mdvfF7D27wKMFLRuweRKA28qiFcM0zOSpTcMrRsSbyzsImlgHAdcXj3g1KX94wRaKQyuKsm1On6ILnSGMxN4c30cPKKq694GJhlULIj27OfVnmHykKD1pYCDUd0GP6UurltgK+008dxHa8kRYSmFsR57LfFVwcdb1/ju2oIXEk3jCzUm562X3hsL6psW8LL3fwFCIDIbJBT2C/yJTagttWSReEhpWdMjwOvoFYiS0hgW2iXck1XwU7X0Zqbyz9j3VaUGd8Ix06gyQ/2GyzQLmJceh2m9up+tnDfTNuW3qMKDfFkwKWxvcEvFPBlusF82+Nl7n6B4p0kR2bNFlNY24MaWCVap9baL0iAzg1O9BzKrgpKykJ4zIzUOrSrRF6wHvFtJ8x7EHfyBwJ2VaCWRpcGb5MfLrju31+tRUjDA+LyD/6dNNne6TNKAee6xt2ggMRzG1tseOPlxmNbl5r7t05Ql76/d5pw7IDOS3/o/PmpBjJlVSoT7EIw07kJX1huFO8nwhxkq1XjjogKrLPsH8NjyLgAnu2OEMEwTn/P1Q876h0zLEL8v7XuDBbkaWwXByBD0NWlLUkQVY+yDMxM4C0H/Cft329/waK9POLE+ZHFQQ8cOZuAhhGG9McXzCza2enz6W17lam+fZ05s8L7WBv9m+AxfTQP+8f/yGW78ZAfu1PCH0LivKSJpl/2aYHQxpPGgoPt2jje20uPmDYd8u4YIS7prY7Iq6+DoJTG0nJhWxbrKkQPGAgyId5dDJ7YMjhMb/IEg2rFLUdYUdN+E/jxivTUhLxSeKmkGNnwsyR2ySoKvpKbu2VAxKQxSGD7Qus23hxbs/Ilf+yF7BqzaZ1F4YAiG9n6QuQ0GlKVVMbgLjT+y11Lo5IzigEni27wO9e59J8rS+g0dhfZdSk+w7M8IZM6KO6GuUhpOQsdf2BCuzKUsJaGfIQpJPAwpaprDp22abtq1naFHjJAlJ6zlRiuBM8ur/36XxZGlBQvjnuDtrTUwAreW8/DyHoFTcJjVORUMAbg9X2aYR6z6VbhMuyCvC/KGQxEqokPN9JTCqYLjRGlIluyZaCSMP/0EGFhqzygLyVp3Qm95wtraiLKUlKFhHAdkmYP8fIe7f8Xho3/37zD5LybMT0gmZxwGV20H5BFzaQQEI5vge/iUwB8asoZkfhpqmxK04NRPfZkbP/9+RAn/8upv4noFsoTWuRF6PSFNPEbDGvlBiJAGM/LohgvCfUHckyRtSekKS8akdukw9Yh0JapmElBffZusqzEGlGvtDEVhfeNZ4aCknbeOlAmr3oS39tf4rf/hX7H/bJui4TN9bBndCNCha/tRmzUIfMrVNtlDK4h5jG5FGCmZXmwyuuCSnChov+0wvZyz3pywFMy5v9PFaGH7d0vJdBZSVP3FSWa98mot5tTaEMoS2Z9U6bkRgcxtii+KB9kS2gg2sy5X3AmlJywxcjTjGSo1mc0fsWnoUH9gZbZbH3WJ/16P/bzJQnvcWqwgq+fCqjtmUgQoNHtFi0FR50qww0bW4835SQZFjUvRvrWE3Klz+k/sLFSGgiKw6hZT9d4iLFmgMn3si5UljHbs0p0bRd6NcBZlRZxJkuUQvVggl7qkVbJ4oSX3Fx220xa9cE6SucxSj5OtMY5bYqKS8eUSd6j4mZe/jb/+lTfxRvY5ePi4S9JW5A2XYD8ljyRFqIhP1El7IVpJ5hc7JF2XrO0yeDRi/JBi9kTKI94un/qpH2M2iHC9gvalATvTJh1/QcNLyLTN25nlHjUvo1g4PNzes0qfplVf/Hlfzn/8r/z/8DIGZ5pBach7Ec44rYqOhX1ILS8hUolsGeJpQL29QGvJZBLi+gXNWnIsL1trTim05DP/9Lf457/+ffQfj1h9/pDZIz3qN4boeoBxFTItWDzUsnHfg4QicvD2F2QXfOJlj+47Gdd+9nE+9Og7SKH5o1sP8+jpHaaZz86wSTr1UWGG6xekMxfHL9BakqYuMijxJg5IiYxz7o6W7AHi5qyGU9Kiw2E5R+Hz3to9Pjf+AM3bM7JmA5VYtNOb2EHHSQz7HzB0X5HHKYqHTwkrR+xmZDebIOHMe7bY2O+SRg5FqWz5uCxph/FxJc3VpX1+vHsbgB/ffZr6r73E/V9/nNqfNfBmGncq2fpYg9bdEm+mqe2UDK74ZHVF1hSEh7ZG5X5qPUar9Slv3TxFXkHfuVHHUrkjFLktLQLvTXIbShXaftgykLZ/KbAS4iISx5LbrGk9OnuvrTK/OsR1SqaZTyeIj+V4gWMZ8yMmAJXji5KWY4uWv5ac5YX/8CSiYz+XswDku0OrirWVe8t3tb1aCbypgKqzM1AFEsPz/Utcaeyxn9b5lvY9q/fXHltFhwv1Q24uX2bp7cweNqVlTZO2Og5MaV2H2VmBqJafvGUoTyXUvxZS7ju83T/P8tN7bFxf455TDbjNHKlKXts4hdr1eEWewd3wcS8ueOyRbV45PM077y0ofsZG4p/5325z70evkLU14b5D6/bCyja6ru2OEzZBWWhFERnuzHv4qjyulVFC01UzRjpiYWx/bNdbMFhkOLFPXrPyZSOFrbPL7fILHHdqZi1wZ4LJOZ/6W/AN/xQ73SbjRcip9ojLzX3uzZdoewuL+Dsptyc91moTZrnPJA3Y2m+jE4dTn4PxQ4r6A0M4KJmedCyaXy0eUkHpWmbwKI3ZnRnKwKZJdp0Z23mHr+ydZbk2Y39e52L7kKRw+OzhwwCcaQwZLlKCoWFaF3gjiUoh6RmiXYE/MMxOCw7eIykiTdaG6UWDjCuJ3Fc6bNbbZCcyhDLU/Iy19oRZ6rPIXSbzgOwg4rnkErWaDRf4Z299J8EfNrn8b17kxEsNNn9XsvuMQJ9fIO+GBIeScN9U/XiGtGlZLCOplmdhl7eWYTCPWKtNjisuHKEJvPg4ZTCSnk0C3I6tesSxPpgiUqjUIsv+0CbC+n1JsqzJ2hqjJOrtOslDKUIZylLiOCWOY9PCHack8HJcVSkmpCaUJZ9Yuc57gk02C8NnfuXHKS+Bs7AyJ1FahkjmdsmSaXHMwujAQUzzis3xrHVAmmr4toi2WwVv+d8UkBTJ3N7bc4tkqtRWn2hXIuHY+ym0DXpL2+AoyxbffPMUzuqCepTSiawUNlA5WelQ8xeEKifVDodp/VhOuRqNWZILfuzNv8bsWgdvbtl7JwFnbtlbJ9a488L69kr7cUXNqSS+ErDdqaHKGZchviiYlraD0BUlg6JOYuz32PEWFnRZFJbhSgrKmotKqsL0JZdZ1wKaMrUe38W6XZbD6z5b2RJ+O6HXnLM5a9MO7CLsyYKuN0ebOodp/diTup13eCc5yS9ff4b4aoa355J2DSoTuLPKdz4s3kXahwsoS1hpghC4C4XM7LOg5mbcnXRZacxsDVrscXl9n3uzJR6JtvlYdJOfG9kzw5taNUbSthKwIrS1LPUHMFu356h4dsRsFCIWDsEnBrR/qkb9B/q8euMsTjNDSE1tNWO1MeWtOyfp9KaUheT6eJVOsCA3kl+8+SyuKhmfDJk+mcJBQBBb7/BiVaIHgvDA+upl5ReTlTSzCAXRnibpCgpcirai4SRMCwtySQyOLOk5M1xRef80RAcl3qQgazo4sfXCqdTONkJTqceq548Hs9MC9dwSt5+oEdRsSrDvWI+gMTbzwlGaRW67Udt+jKcKWm7Cs+EdQPGRN/4q3khYZj+wjQDOwoImTmyvHRUXaEcikZjcEB6WJF3FPPeIPFv3puZVNoeoulAXmZX4CkHZfNdHdhQKdToYsJV2KFTOvVmXx1Z3WBQe17ZXoZ7D3OHE43tsv75G/1FJbcuge5LGZknWtEyiSs2x3QolKAOBOy1ZrPmkTUnnesbuJ3OEADN38TZcOh/eRRvBheYhcelyJdih68ztoG8Uh3n93ZTuhU1OdWKbR9J8YOfGuCsJxna+sddglZg9UPgXSszcwZGa7d0OYSOhWUsI3zflwdYSa+tDlr7vgLfunOTyP3mHl3/xCSbvz6jd8Mi6mnBfMHjUqnKMFOQaCl8gGyAZAAAgAElEQVQRbQmm5w0g0K7NVbjyvy7Y/G8+yPKZA8azkM9NH6XIFcn5gmWnxPFKsrlHsztn7hjWlsZs91cYJiFp1wLwsgBvrq1C0PfQjRpyHttAs7JSG2mDOxHkPfD9gvnCRzma6Syk2VjQrS34Rv8krVpM49ERv3braZpRwrf+yT/g7PftMJus4Y9KZg/VCfo5jpTkTY+s2bF2GSVYrJ+wF4gQ7HwITJiz/GWH/pOahy9v8Whrh9+7+ThBLSNL3eNgSCrrXlFY//VgFrHcmVIagdD6uNZmzR0x1z6lkdbSU9RxZUmkUrrKR5YGlRjri5UC6VoQs/StEmWxoigCSw4NLmtq9xW3fqjNzT/5CJfft1FJ7C1QeToYMMojXppcYNmz1/tvHryXnj/j3nyJu4MugVtwuNlGBobhJXsOlr4Fh7wKfHViqyB05qVVnFSVR+7MIAJr9ZBY1YKprGfONEP6zvHP8sgXv9KYcW/Y4Vytz5I/p2hJ4sLlYF4jPoxwmhmFAWaS3tKUn/jj76f9yT7mxSXyhiHag62PuXTecZmcF/gDjquKjHLIa1a1aZRi9SNb3H9znTe//ed57HN/j9ZfHtI0gix3bPJ+1ZJQaMVyOKPjLfBkyfnaIZsHHV7vn8CdW3JqcbYJ75YM/H++/mIsqIBICkzo4g5jW8pcaceFBt2KUN0Ux9GkpUVa2lUg0emlEXHuMlyEdKKY5WDGa7sn+Jlr34Z6eMqoVmd2tkfWK+gt9Uh6gqRnqkNX4y7HcKOBPxLkH/LxJtbrufNBj8cv32GQRtw5WKIepbxx4zQyrKBqaZhPA0whEVFBEOQUhSKNXaSyh4T2bAfrhc4ehZbU3JSDuI42gp6qsaym7BYt2wlY95ifENQf2Juq9O2FOD0ladyEZBn0hQVeLSEeR7Tbc4bbLWiXeJ3EStBGHvv3V+Hsgm5rTn9RY3Czi9DQuDjirYM1PjT9Xrbv9ajfdpC/M6RYKNrfucfhN1aobcLqS2P2nmnRvZZSBpLGto3pTpYg2od4zQYhiZlDXLjIsMCVBbrqJxyXNoAkMwpXKOrYbjtRVN1cAlShkRP7MDBKkEfKMostm/CZr5eVpEgw3mghSkHtoTGjeYgxgpMdG/qkjSTTimsP1lCOxvUKnssvgng/+SBA9KpqlNQOye60YtqM9b4hBWqaQl6gV5soXQWtBPZGD52ctrtA1jTz0scRmhf6FymMJJA5DRmzFbcriavCnWlSX1IbFiyWFO7CIubzVccyxAYmj2bUbnnMmy7JssGZC2o7hoNzDdyRJNq1h+fsYwlF6hDUMnIZUP9GYA/XeY13rl0iOITNX+6wtDRgsd/jwWeusPr1HJWWaCXIGy5GCsLDDONKkq5HEdiFZHa+ZJSFFFriVrHoa2rCXPvUZEpinKoKRlA07QJ7ZOoHKkSyGqykZa0W69anlkfiuDPVfzPiMAwpQ8PmYYu7jTPkbQ1VNYzxNfVbLtvtdetNGAkibb2mwysCmYFxYLFi0e6j8AlhAG1rG0rPJiGqzP5b0i4W+RUlkbSy2lJLAqfg3sSmIZ+KRuwndRtsdGmNyRlJvKZx5hJ3BkWrJC4VGEF8qqB2z0HFgmS9QGQS4xqcsQ3WQsPJ9SHOzy7hjptsfFeIOD+nfBBR1jXtdxRahagsQKXQ++qQsrHg8O9+gNtfMtTnttpGvBzhzgyzU1ap4M4EQR/SDqRLGr8v0R6kXY3MHRxZ0o5ipDBWzubPGefWO/nNEt941SaS67qH9iTeMEXNMnTgoCKHtOlRaIhPlJiwJGilhH5GnHqInQjjGdwlu9gYA5dO7LMeTY6Ddf7g+mN0WnPSQvHLw2f4Fed95IWtKIhqto7D7AUE/SpdclZYpYwQyF0bBkSvYyViUlDWNAfDBlpLGvXYsqdIIpmy0B6zMiA3EldqGqI4ls9qR0DlR3UXNukTY5UgqYRk2YKdecOe+zKWcKfGOIoY9yI2ZJcgyPHdnEPXerwHi5DpYQ3haUwm+Zx/FeWWmHs1jGOIT2qcqU0kdeaWyVTpkWzSoOIcCo3xbJ+kkXb4neY+J6Ixpf3Hk2qHukqP37cj4dDpYMgLgWUrjRTHz0aJtsEWno83NuR1QdauPLydAkoBQuEdOBQ1h63NLs6hy/DKmKWaDX6RwuDJkhfeuIScK3Qn50v7j1FGGjWX0C3IWxqZCGRuFzXtCFSurWQvyWE0seGG9ZCi5R+zXK4qqTsp99IOo1lEntne0JPRyNYq5U0UhqIGi7MF4aGyssbCKjOmZ+Dk8wX7pzwrwWwb/BfadD96CMDgnSUOfljzqHb49FOv8dnf/xb8IdS+c5fzjT63/BWuLu1z+vSQ3/vdDzK8azj3t2/gfL6NAT73CQcxctG+BZ1EYf2mpQ/17ZL5iqJ9PSZvecfqCVnYMy3rlUQrc7rVz9GTBUoYWm7M5qJ9LAUEKJu26kMmJbTsoufOCmRsgYY89JC5IFmBbLkgD0uUo9GlwMxd4lTRWJnhqJJZ4nOlt3/MljpC89reCfYndc50h7y1t8bbwx9ikXpM7rbRj6aQSygEsnDwHuhKXWCZfFFYgNa4ClH3bG/8isMs9UlyK/HHKIyrbB1frinaEc5ogXEUzjhFlCE9f8b9dIkzfp9IZjxVu88rs7OshlPGWcDN/WUctyQMMyZxg81rq5h2QdkQ6EcTspFP1nYJ+obxQ7YHNBjY0LTFqiBZ1fj9iNK3z8rRlQjpJpiBh5NI4vMZelJDYAFHWWUdnPUOOe/tczNbs0uqqoOy4IMFam3tnSys5Lh1N2N20rN2AG1nFm+co13FE90t7l9fRQiDX8tI7zb4Tz71Rf735z6K6mY81Bzw4huXeO+jd/j81x6DxzTSK2l8dA/52VXGVzWXnnjA9fU1KGzopRvmZMOAi5d2uHV3lZN/qBj99TF3n1CcWtrEEZofPvdV/vVzfwlnovAzOKCDTCQEmslBnahrSQ/jahp+yrBmvc1ZTSBHxnpPHYmYxZjZApnbyiTtAkbjDwW6SmUvS2nT2RcONGy4mKNKQrcgL9VRTAyXH9rl7kGX/OMlwi9ZWhpzMA9o1lION0NkLcPxSsoHEc6ZBc1awuylZRpnbT/uZrLCs++9wSgL+eL2JavKGQU4UYEuBUJRBfKB1nZDcx17j23udmiFc3SVJq0wBCKnKRMaMiGQuQ0Kymv4wiVt2g7UMlA4MzsXydLgD0viZdsNGk0gWRLU7yqSJYM3smzq3efOITO43T6DkTabQp9JKOcOuBoShTtUlIHBWQjKwJBmAs/Y3vIygLxmwb2ka2d57QpEYZlTd1L1azdCisjOElEzsWdjBcLKrMQ/LFHTBJlUmedleXwmtbyY+4suh2mdUOWcqQ0ZZSFbgxaisKn8jbc83I8f0ovmBFcKXFWy//4RjhYUT+Z4ucvBeoD7wGNyRTM9JwgOJCe+/QH3XzxF+VDMI6d2CFROfOWQp1/4z1hfG7Kz28GLMs71BhgjeDBss+TPeTDv8GR7k9JINmZdHNmhjBXbt5cJWuAPUutz/XO+/oJIfAU6cm3/qLGFsseSjlwgY+vJqQcpKiyYzQL2R3XOrgxwZcmnT75Brz7nwXaXF9++iOeUTAY16mHKd33kZS58cAM8zckfuYP84BD/4oTW1T7tMyOatQRzccEzP/AaydmMh77nNq3v2yY9k7IaTLlzsESnsWAe+1AK1ntjuu05Qhkcr0AFBQio+RlZ5tBuz5FK46S6Qh8Fs9x64G4Netw77FpPXDknMQ7LzoTStzT+0ZCTtawEYL4mSZcMkysFybKmmLmMBjVMIVm8ugQG3FbKmd6Qja+ewhso9JmYbmvO8NVlBsMap76gUYuqQkNLktzhyYc3rKzaCMxOwP47y5z5Yxs8MrnYwDiQ9Fyc2N7UWgmMUy2YrmEjsUvvcjhDxzZNbVyElgnQlkU99qMKQRHZNMsjD6p2JEWkEMZ6AYyquudmAmTlHUsEKhUILdC+ZjaKiLfrxFOfvWmdaR4wzgIWuYfa9tG7AXE/pNwNKQ5CnJmyabOePvZNhgfa9pUVttdVLjLIckSWYxxBWUXbi1ygpMZTBW9P1mg6CW1nwXf1XqfupgyTkES7aKxUVmWG+Yoi6Sq8uWZw1Sc6tCx0/2GX4aOG6ZWc0oPO112yp2aEWw6dd2wYz9P/+TeQN2oUdUP+iTGzs7DSnqFczSOru5z6fI7zsT6LE7aLNlkv0J8c4uz4TF5d4m//jT8geWqBSkoOngyYnfIwjsCtWClnlFB6Am+mGTyhCR84lFoSujbAaKH9Y7ltot9FxksjSJZcG2ZRIf3CmGPkr/QEWdNWEDU2DO4UkDakQWgb+GUURDv2AFYLgTuUyEzgzCXOyCHatciiNxbHYTalJ6rrwfrQisCG6GQNcYxAWqmx9ZQcsaim8sfZ607jiZIzjSFx4eKqkt1Bk0Xq0XVtebsjS8TcSpj9vu1Km53RtN6uSr8fyWmuTZHPDpEFrD0v6b4pOPe7BfUHhvWPb9J6zyHz/7DG5scVD/5+ycrLGu/lOrUtSe2uw4nfvsfkkZzZaTsAX//xiPvfEdkQsgOLaJ/4l1/m5M9/g+ETGpVZH7gorSe8CKDsFFWKNtQ3JK5XMM2s/9OTBbPcZ3Pe/n9JDo9eaS+0HqRhinZtlLz2FVnTIe3Y+1MtJFSJ4ONxZDsmGwW9UyOWmzOy1KFTiwlUwdXaLsvejGcadyhTxeF+kzS1cr4kdYkPI4zGLqelqAAiWKzYwC61yKzlYhGjpzPLlIQuapbizCSeXxCEtmswMS4lgkXF9B8FFSkEStgO5SOJ4NHwXYQVwCls9ZBxLMMvAKMMlNYrehQQpecOZi9gsVknK2y9xzgOmB7UUSMHteMj5g46dii3I9uTWAjUTNrKrcx+LuuJtqEuMisQWWFlkcICcUcvbQShzKqQMHnMDk+KgK4z4+gdHBdhVcFjP1aHLs5wAaUhWQ7JasJKOCU07gnCfUmw5eL1FdoxZCsF5djF6bsUyzmLe002DzoMFiH9pMbXN20gm3EN6tCjWMkwtRInFohU4h8qVr4GvTdKG7AlsKzbNw0YwrG5DVBJ2nyDFBCqnHaYEAUpp1cG5LnDC5vn+XD7Fj1nyu28gzszqLk8tldMzknqWxnrLxXc/6RLvK5ZPBnj9wUrr6Q0fqFF+EsdmrcEJ88d8tPnfosvbZ8nrxvOf/9N9l9d5Y+ffwp1N2B73uLX/+xZGt9ywInP3OGVFy+TNSD7+Bj1fAsMnPoTwfqXDGf+cGR7eeeGRU/hzQxFzaGIJGlLUfqCxv0U7QrcTsLioMY8s93b0zzgMK2xuWjjydJ6HSvzsQwLisA2CMjMymqzpkvR8Oyy2xDHib7fXCiuKz+e8EtcVXI4bDAfh+zOmzhC48mCdpViH48Cbu0uE898dg9ajHYb6ECjPA3SEOw6eBNIWhLtCVRsF2Q5TZCzBTKz7LwoLXtZahuUVHczyppvwaTSYFyJM5gfS3yNEmgPdpImHdcGfS2pGbeSVTrugprKeKjWx3ML8sxhOgnB0fgDidtIaaxNcZwSd+gwv5AzOyWOnxnfXBUVnpmSrJWYCwviqwnuxSl64mJqJY8+c4fVtRFFoXhm+R4rwZRVf4Ivc064w+PgnNcnJ/FkgdN3rTopsWnBbmwVHeF+Tta2jJE/tO+JO62egb7hq/tnMcpw7+4KHz5zh49++E2+dHiBp568A9sBr++dQDVybg96yFSwfvEAxy15qDmg+aldPvLsW2xPmjh+Sb035+rZHbJBwLkLe9zZ7uHWcnb+aoaUGu/rdX7k1Je59cYpfuZz38EHnrzJMx95hyIyyFqODktEWCBcW10Y5y7BvsPOqEkZWvarDO33cOTD0K0Ic6JX3bDV83G5Z5+3mSLLFDpRrHYnhO2E4bDOpaUD4tRDCsNDzT5PrG7zPade51LzgCJzcBsZf+2JV6z31y35xMkbXLm8xaNndri0eoB3bkaeOSS5Q/AtfcvQSs0H33fdVgUKQ1YoVltTpF/i+XbG9/ycshTkqYPREiEM84VP6NgD3DjWlncErI/KiFfic1zL1m2lUBViuV/aUKw8kjgzy1aGhxmFL0k7DtF+QV4TZHVBfUtX14UF16ssPlQCaPvntU2B2fdREwWxwju0lT3hnkSl1TwTCxp3bWq8zKFz3RDu2XqZpG39pkdzivYs+HOUDeJNNfUgpaVifJljpGB2rka8HjJ+rGvvRSFAymOiYGfeRCrNyXBEw014rX+CvbhBrzlHdjJO9kbM3xMz2G/yzq2TaCPY2Ftitlcn8nO6UYySGjF0CfcFzeuK4EAS7Rr684i8Y8GyrUmT+5MOa7UpwUt1Dsd1lnpTVlozesGcuHD5bx//vzgdDKm7qVXfOXMCZYkr4RhEKvD74IyT433uz/P6i7GgGivrUHFu+5Ky0noTj8JY3rqOcuxBLYVB7PnkUx9XlqyHE35j42nu3V/m4XM7PHxxi4+eusU/fOazfHT9Fp+9e5WNQQcKyeuvn6MVJiipGTxokxUO/bsdLq/v88UvPoFQmtuDJe7dXKXejvnT25c4vTRi/7BJuRkhAjvkHu43kY4mj13KqYtTGcyNFiwSn8DPyWq2a8uZJIySEN+x6MWFlUN8pyQSipGOuJ6cINq3iErV0EJjQ1Pftie0PpMQ7Dmc/62ExjUXZ8+jdt3jsU/c4J987Pf4y5feZuezp8l7BcFjI9wbEf/95d8l65aYgU/9jV0+8qnXCX+lzdr/7DMc1nnrK+fJWob5VgMVC67+3C7qi6/QuZkRL0nqWyUyNxShLeYtwuqBISDYcfg7y8+h1mKSwkWNLVvVcuLjg8cVJQpDanL2yhRnYYcsIwVloJBVal/p2rj1uGcXEn9gqG1K3JFE5oK8VWLauZXm7noYX0MhmR7WuLPdYzCP2Li3TNEsMb0M79DBuAZTK6vBzuCOFc070LlZEh0UNknP/aYhy1HoekReq4Ys36LpUtjArbVwyqQIOMga/Nn4Mr4sWA7nzAuf/aJJz53izgz13ZLWjRlJS9HcKPBHeeWnAXcs6b7iUN+yrHH0Qp34QsbwuxdEjw/5wheeIjiEtRcMiwc2GCX46TblwGf75y5y/zscar/UpnUD6rcVzkjR+sUGnF1QnEv4tz/3Haz8TkDWdujczAmGpY0ojxycwZx0tcZ83QZEyFTgDyHTikvNAwCb5KtDWlV/aCAKNLZ3L9pKKD3rXS1CjovmwdaCBH2DN678HDNDEcDslGX7EODMRVVTYaWQGGhfF3hDQX1DkCwJWjfBmVufRm3LosAqtdLh2q6mtmcDDtyF/bpHaXxHzFnpWa926VuJ3jgPiGTKbtGin9TwnYK0cDjVGxF4OXtpk724YesZNrZwp3bJLT1DbUvSulvgzAW4mulGi9WfCWhsaPY+YOi/tyT9sSGn/+Ytdp47hftLXeIVQ/OWIHi+QfGZPqf+YEDWgO71ghv/aoXm2y4rr2hmZ6H11YDVr5akl2PcKXTfSZn9wLOYRy/Q+5ok2rE/z6wl8EcGbwpipgj6lRKhBNcteKKzxXyzgTaSthdb70epCFRO9E0pt+GerSkRhUZ7qloCM7Qnma0rsqadjesbguZbLmIzRKcKv5bR7s4pSsnmrRVMIdntt7h52OP3tx7n2nSVX9r8INIrIZOI6zWyhYtSGvyKCToIaL4Ysvo1TTAs8UcV6lgaRJaDUogwIOvZMJKiGaA966UNvRxRnSVHCxxQ1QcZEqMZaQeVVjVRlRpD5honLihDRdKxy0URWo97sC9wpxJnIcg7JWVgkXF/z0H7tj191o8YjmtMpiHeng3ekbkN0JILhXENWafEAE4i8EaG7rWC2m5ZebKrAbuw3Y1lK6QI1XEiI1rQ8NLj8CVX2ETvQObUVcpc+4wqD+fGoos3xqabRgrtKUScohK7VOQNUck3DVnTesuS9Zz8VEoZaSgFolbgTgUiUehWgR54pKnL/f0uaT8Ex+DM7DVCrHD2XdKV0g5cc+vH9IcFrbu59bxW15GIM4TjYJp1ippLHlkJvvYN3XBhU9CdnOXanL1xg1YtZr014Uuji9xPlzjpTEiWBOGupPQ4Do0xUqBiTXBoJffOvYD1F+bc+UHJwWcWbH1nyfjDCfPfW+P/HL2f2cKnrJVc++NLtJ845ORzmuJcwiTxeeKpuyS5cxzSxPvGyBdbTB7N0M2CwycV/UcU++9v0XxQkrYlRWgThYu6sjaQ1BDtF6Qdl9p2Rj72UY2c0SQiVLmt63FSAmWVVXWVkFcSbQ59y9blpQUZJPa550sWqx5pR1gGt4TOawr3vo/ZCaAU+J2ERitmsNWmPAjoLE3Z2upyd9JlP27w9YPTzHbqLK+P0Yc+jDy8oEDWCvA05dil9ZpH57qmfStHFlRg8LvPPhMF5J2w8sZJvGl5HMakERZkKW1AkkxyTFiBl1lO3gpwZ4ZRFvHq+Az3syWuJza1OJIZozzkcw+uMJsFKKektzSl2ZsTvrePUobFrRZFofAuT/B3HNRjY/In5jTvWkYrXhEszhaYr7WonZhSHAQwdklmPsIInLDg5mGPReZyennIm6MT3J93uBTuEYicg6JJYlxeXZzFEZoH8w5OLIgObe+yM80wAopAMr5gv6/avqaIbOCaEeD255ioZDQLCfYc3L7DK/snuVrf4cnOFq+9fIHwQPDMiQ0aL4YsEo/goSmTOKAWptwZL5H96irPvfwI82nAanfCYqPJja+fReSCOHdpPx+g3qmhFw7F1zr8rR/5I/7pH30/zkxw4nnD67//MG8frtK8PEQ9CMA1MHGRhy5GSwotydqaLHWRqWB2QhIMqiDKokROFoi0RGRFNffYxavY2bWqqKRiR40gzh1CP2OlN6Gf1Li6skfkZtwcLfPWwRrP9y+iEfzQE18jCDP+aONhikLyzIkNbk6X+baVa3iyoB9HJHs1PnHpBrPNJuc7fR45ucvJ2ph7ky6b0zb3R23ixKU/j3jy7Ca+W6Dckix1KQuF6xe0mwu7kwnDMAlpt+fWv6kkubFKkjVnzJVgm5pM0UbSdGwVWV24yNKQdCVFreppzTXexDKQcc8hPLQhpIsVSXhoiZEytOCESixY3rhna+eSZY7DibyhQiWCcE9UtXQQ9O3HzE+KyqJj/259p6S5Udie7tKCeE5SotKSouYch2ctVhS9aE5LvZvAH+2k+IMcf/xuF7ApCrKWXVB3N5YoS8kXti7hywJtBIezGtv7bfwgY2N7CT13ePj8Nt6uw9b9JZRToqaKwajGj55+DvN8h6XLfcZPZaQdWJzPiT89oRUmnLhwwNn1PvPYp+UnXNtbofjwGKU0/+DS53FVyYt3HqI/s9kl22kbR2gmRcCXh+ePz11TCEw3J2tZkPWbwdr/2OsvxoKKXWDKyMX4yi4X0iLSRQjOqZPoUlLOHIIwY/mRAx6//AApDPdmXUI35xOPXuPh5i4fXrrNl3cf4l9/+VP8xsvv4+kTm1xZ3rc+na7tEEszh+7pEe0oJlifsz+vY5RB9D0+euo27ZMTFjMfnSnubPc4t97nwlObvOfCBmGYEbVifD+3EhoBz569x3RsBzulbCKiUQKZlZQNn144Z5r6uMoark83h7hCsaymtNSC3Q9C2vWJ9jVJ174lsxPK9h7eD1j9Ss7mxyNm50vWn95lfinj1q9f5p89/2ni0iNZMpz9bZgvfEQBf/+VHyRcXtC72Oftf7TK5196HFkYRhd93vPQfcqVjLyhWX1B4A8FN350nZ1/+EGGF73jMumkY4eWyRmf+SloX7d/3r6l6cqMYhAghabsvlu6e8RuSAwlAl+4RMIOcUUoq8MFZKGRue2nLUM7iIcHhmRJMDujyc+kFA2NM1V4UYZqZvgjQXTPRY0cvD0XM/KY7Ndt4m4qaX0loLaJrUQICsp6SbitcOaC+QlBHknb+VYFQ2jPemFFklF0QoyyHp3SlzhzgSM0uVZM8qDyoynmhY+vCjr+giVvxmVvlz/cfQyE9Utm3YDGZobMNXnNIWvYeiAnhvpWyd6HNPNvnXH1B6+xvDpm/d/6jPYaPPyBu4yfzEg6EuNp8l7O3c8YgrU5e8/A0qU+szVFGdoFrAwN0X+5hd6MaL4U4s7h8AnB/nsUeSRRqSHtWAZABx79R+01EoxL3KlkcklzvtHn/rxDaSSZUZx0hihhqMmUEtvJOMginIOJ9QHFtqakCCzqaGTli8yoUgMF44u2yuebUUjbNWao7dikyt7rulIMWGlm1oLavl1eFicMi1VBXhcEhwbtweiS7ZUtffu1i1Cy6FlJuBGCpCOOU/nK0C7JDTdlWoa0lU3tTQuHdhBT91IealrVRcNNSUsHGQYs1qzfNNy3jOXh35zD0xManQW1LcmDbwsY/ZU59dMTRClw/6clZv/oJFc/eZPtjxvaNwzuAhpbJeZXl9n6VBeVwnxVIe+GnPx313AWmhPPF8w/PGfro4or/3yOP9Fsf6vPznfm3PgbtSokDeYn7cIuNEzPaYJ9RfedFO0YFidt2Nn16SrhiRm+LKqEaxt0ARyzjQDhnqGoKdQiowiVBQAXOc4spwyxHt8DQ7wK8uMDzr/3AWE7IZ1ZSWHkZ7gDifvAw/NzkgcNhnPL5uxP6yilab/h4I0E0tGc7ow4uT5E3I5AGWbnDIsVae+FRCOzkrwXQVGC0ZgTy5S+RKYFWdu1wTlOiQ0PtAtqbtRxiq8vczyhCYQkELarUlShRHndQXvS+j+1Zd+DvvX/FHWYXSjJ2pqiphGpRLcKykaJTAXhtpUXqrGDuB9aVtUBbyCJdgS1raNIXgh2HYJBFfV/UhAvVQtoxVgYR9rOSCHI2v5xTZHQ4M7txyls4qtGILHfZ6QyUu1Sq97HFX9GEVnlgjfOSZZ9Zo+tMj9TI21ZD78sDZPzViprHpkicklwK0BoyzIydlBeS7QAACAASURBVFEZtN6yy6dMBflBSDF1cUeK5usenbdh5esaXEPRLqltKGoPbFDX4DHDwZM+aVtV97+yifvTOXguyekW7jhF+4KsbsNsBnFEWjpMMp/tSZOTnTGO1KSFQ1K6dNw5I+1T27I9tTKH2k6OE8O973K597c084cKnBnkZ1K2fqzg8oUdFpMANXDpfDGg+OSI+3GHq+v7yEziD2H0Ro/ZuiKMMvIvLfH6m+eo/VqL5h/UufirE8TXWpTPTqjd9Gi87ZF2S4rHZwyeLuk/rCg9y6JGeznRRsXAhIJwc0rpWzUJWqDLdwcsXxb46t1noK3Xsv8/2JfHdSUYyCMHd5zizm3FijuD1m2NimFyweD839S9aZScV32v++x3fmuurq6eJ02t0ZZsWZYHGWwG22AgwQ4OYCDkQICQEM7JPNx7Qs4N51ySQAYSMkFIQoDEQA4kGI8YPOBJsiRLtmRLrVbPc9dc9c7vez7scvtm3XXXzZe7Vm5/07Jsd3X1u2vv//79nmdvg6ggb8d0PWIw10BtqmRmFSrLeZSmxspsiem1EpV6GuyI1jNl8q+oqI5gpKeGboRoGzrmhkprPKY9qHTX7xijGcthjqZAFBHlLIKsjt7wCHI65ob0qqtKvNXZVPyI2NKJUwaJEAjPR4QRet3F6xF4oYYfq1xs9REj2GmtoogYXZFDHKEkhKHK+lqO1nSe1rkevKU0sZ3gVy3adQtvIMTtGAR1k82DCZ2xiNb2EMwId59DEKgovR5JNkQ1IuyBFizYdKo2KUOuC3XPIqN71COpcVJFjJ+oLDoF1t0MncDAL8S4RVXSp21967m0N2MZzY8SwlRConU99JdmEa5CdDnD/jddIBjwqVYz/OX9t/LA7F60juADH3iQx350gPw7llBfzOC6OmePfk1Slr/Xh+oljO1a5as3fpGVs/0YNQVltE1hosb7J56l+YY27oTP5bf9Nc52ny///e0kSsLX7vlj+PA6ncGY6lqW6kKeZMJBT/mIgk95/zrDvTVWF4vkttUA6D0l4ZlOSZF6uZRJnLEQriej+H7cTXnI192aCBGBQn+hiWKHVDayVCsZsqbHWiPDqUtj1D2Lo+UZXj8yRRgrBLHK46s7OVBeoS/bwqtbTKZXObMw3K1caZhqxNiuVZ5amEDrdRhPVfBCjZlGD8vreWw9YHuxQuDohKHKfKNIxzUwjEjGehMoZmV82XMkaGJ9Nc9YvkbSTXBkFYcg0VgJ8+hEWCLoDodUdCUkpRgy6aXKekJ9h4EzYJGogtx0R1KT0+CVZLqhsV0mYcxqgltO5FDSlQdMoym7q+kFBbOiQAx6R/bmVRfyl+Xhayvdn8hKQGNCoTGqEZkKViUiSMn9y6s3oG5RHlBlvQ1eXurnstdHVnERUUyiSe5ArAqidHdD5QdbsFHhCxQlpvlSiVpgsy1X4Y7xl0g8ldFijWzeQUmFzDw6QdATs3fXItF8ikRP+MRVP+CuTIPm7oD1+SK3XvES6sE6wlXwfZWFk0O8rn+KmYVe7B9mqTgpfnL3Sa4bniWYzvKpb9/NWKbKQG+dOFZ4oTnKibVRwq728eJmGYDn5sZQqzq/fvT+7jBZ3hz/e7/+YxxQu1fXYUZHcUPUurM1rQgzMdVjo2QzDnreo9208AKNmitF3a8rT3GgZ5n9mSUutcr8y8IVjOWq5MotMq/otEKT09NjmKuyB7O4UaCUazOca9D2DNyWSb1lw6CHMuDy0KXdDOfriDUTI+Wzc2idmZUSy80s09USrZqNokhwiJoJyPW16DE6KOsGetrH0EI09dWCc3cTE0rwx0C6iaFGbDgZTKHTiU2p9+jSxTQvJjIlJEIkciIelEI2DurEVzZR3K6nbEOnM5gwuWOZTS9F3OdhrXYwz6ZINAg8DfW5HNWzvez58zbFc4LGhEp2vrvJu2zS/7TAywuaBzyiAY/Uakx2MaQ9JIXR6eUQrRV0p/SC0pOLuD0KgS0oKApqUyGlBQhNbrRejaq96r0EUBBYQqU9LIhMGd9WnRi3bNEZtPEK3e5pTtAcF7IHp8uHz1pVMWoCTYtJpTz0FmQWJPUwUUHxBUQCva6QWpZTw9xsiFFTCFs6RkWVpOMI+cHUI/BycgOlRF1UfqMNQYjXo2NWJLglViUtGWQU72BuntlOD6YSsSu9Rlr1aAaymF+LU6hKzPpVUgvUGNVRvAi3R2Nzny5pa0IuVrUPN8kMtLCOZ5ip92B8uYdOr4bwFc6eHyN1ySDW5UZZGDHWORtvIUN6e53wu71obkJ2IUTvxBiDbS6dGGPnbxwnUaD8n2ZkhGVN4BYV6hMaiSJIP/wS7mCK5s6IoScDqZuxExKtC4wQ8ZbwOqu4qMQ0I3urC9drtNm4cYBY6wIjGhJm9aoOAkVqe9qDCkEGEBBk5O9+akWqRUQIPeddUushkSk9XLEmF/bUWoxRlZFe1U9ILUkVQmYpQnNf005EhpSqI+SGUeuSKBGSdm1VYoKsIOpOQ7Oa2/W4xjQ8i7Fsle2ZDcJYYd3N4EQ6hhrSbzfZeOd+RCzBZHpb0og7a2nE8zmiZ4tE1za49a0nAPDPFBjasc7K9RqVfTYXv7sLxVco/XAeoxkTmvKZKp0LMBoJ5RMNxh5yibcPE2RUqjt17OfSpBcEsamzeizG2+Yx/nVB78lu3M8Fa1NCmCpHAlKjTUYfadEaMgiKMZEpyZEls42phzRDEz/SMNUQS/2/R2fquyQURAQRWjvEHUzRmszTnLC71GxBY2dCPNkmb7sUrQ7efAZ72sCPJEVUiQSZeXA2UsT5AKdpsV7P0JrOk8ym0NsJPS8HaDMWVddmcbZEfkp2v9WJFu1hGbWNDEGiK4gwJlrfIHZcvIEM1nKH2NDk8COf4AWadLEq8RaoIqu43WRGTITYOgT4BaRSIZFxcq+g45ZN/KxKZMr3tTPQ5Q6YMr5qr6joTYGe8iGB9FJCz8sR9oqCUe2uEW0VoyrTBmYtJrsQYa3KgaRRB2tdqgkk1E0OT0T3nCJieUMsXHlL8yrNN9YEoZXgd7U8QaKSUd1uX9qnExnytXXfu3f2nMAvdoFrXojqSmWU6sVYtQi3V1Dbm8jeKTBYbJCk5O1Y/pzKZjNNZlYlMx9jb8aYNUF2WkH4ArUpDzVGU7q+lQhS0zqKIyNekQmxFZNekNH30JJwH3kTKIgHSkSlrOyEhzGhKcmriZlsEeuTRDCSr5M3HHQ12oJ5geyPbRyJqB0I5TqS0yhe8NHaAn3apnhapbU74Jods3QqKaZXe9HtgP9yx3dpTsDorzg8eXwvlc+Pk51WcG5uMvB0RGwIOk1Tpn66N0r5KYfpn8gx8KzLrx54iOLFqNv/Vxj8B4vMtEZ6KemSySVhdv4teVav1bFqEd5AhsAWtEYUMgMt9o0toxshfqzhdRcpUwnRutWWVyO+nbGQICNl99aaQ2QptMbTNMYs/IwgyEJzTKG+OybKR+RSLvgKqfPyBDGeqUjv7HqCtaQTWzFaQyV0daJlG23NILWckF0MKZ+WVGZvw8bakMyFKB/RGUzolGSHWfWlX15puohWhzCly9vReofIUvCLJpYWbh1ShRfJSwNdldqL4P/SHROSPBwmypZSYtYpcbI1zsnGGHOtIqYmu6dRzUCt6CQln2jYJbEjFEfIDXZNJ1Nuk893KAw2SKwIpaPIIVDGp6fYZqDQxLLk2pYATstk8OAKwyMVNqpZ5lZ7CCIJ9Zt2emlFFgNqHTfRWe7kGEzVpSu61aWf2jLdFtgCox4SGa/xTkQsP9/aozGJ52H0d0itCIbsOiRCwpLGW3zl0JdRdze5d+Yw9vYGv7n9PnrPhKRSHtu/9VHuO/xXKEHC2ltlmmW37mHvrPPWtz9DULOoXS6y6BWJAhV1U+fgc+9hcmKF4YfrvOumZ/nkK+9maa2APdKkPFgnPdAmXrGIllKUS03WXimzsFHAWNO4afgSlu2zcbVcj1Jd0I3wQ2mrUGS//9WDDYBa6sFalZTplmcwXK5hZz3sjIeuRBTTDqoRc0PfZc7UhtFFxPRzYzz+8JV8Z99X5eXQiRH0jM9jG7u4Yds0/3P+IE3fZK2RQVVinOUMewbXeHB2L+8Zfg4n0FDUhOmlXqkDGtkgDBWiWOBVbOJYEPsqcVtnPFfFj1SoGqRtuU4vtXIIPySyNGpxirTiyf0LCm4iD3CWEsi1JWpLaKKNHNRLpARKmOD1mIQpaclQfIHbK4iMLkl3T0LprEyCtcekK9doShK83uzW3DQon3KJTTl8N2o+fScC9BYUX4nxC6KrVJFD+faAgtvT5Qg0pe9X+F0PcLeWpLqQz3boxAb1KEWY0ojMbpTeFPj5bsKv08GqvjrxhDftuEBkJfzg0iSbbpoz9WGIBDXXRlVi2DS3bnOdUOfQ0Sl6XhDct3IFn6+O88vHHqBwVuOh56+g0zJBwJXDS4gYnlrfTm+5SX1PRH+mybvzxzm5OoLigTLR5um5CZbXCrg1ixfWhthZ2GAys8b+zBKN9Qy5tEu4aRNbMV9fOCIrd+b/Hw+oXbS4selId1NKErgkOEXZoiEWsg6aEVF8NTstErKqS1Zz+fLF66h5Nmtrec48uUv6SG+oS/R7sY3eEvRnpV4lo/ucWxxAU2O0FYO07WHZPsV8m9HeGudmB8lNyYdm7okxklhsucmO7JqhvSAl3YpIeN/O5/jO6UPkJqtcMzpPrZKhP9MksywPPGrDZSxdJaP7OKHOSiu79bLdRGeXscKObzi4PSoilBP/zoCcqqSXYxQ7pL0tgPNZ8hcEC88OM/ln8ww+FXHhohR7Z09bJM+/hFVJiIwEzYjQGwmZBYEzlKZynd+NLKhcrsn+aM8zyygB7P31ecoPm7z/t+7DKamIGAqXfOz5JkoYU7/GY/iRKu19A1QOJBQvuDzm9hEPuygiRluUhzVdeW2KLOl5Gl4SoqDg9UdyYpXXUfyI0BIEabElCO+MRoSZmERPUFwBDZ30QvdmZy5LcyWLvS47MkYDspflv6e2FYwmFC7KvqdcAEDpqPS+kGC0EnKzMZlZhchCxob6VNoDupxQ2SbRYA9KkKBvtvF7LBnB2NEiZzgUDIeNIMvuzCoFvUM1TLHhZ7biXCtBnmOlS0TZiDAtb/mWj6VIL/tEFuRmQ9zehPh1NYx/KTBaqNEaj4i+UcZe96nthr5nZMRw6EmH8ukOgz/yyJ2w8IsJ6XmFkV/1qe2PyV+WKPDF22P81RQ7/6HKhT88zNADK0w/vA1zUy6Kje2Q2ohJLbkoPUXm7lAYvT/BvrRJfbtC34mYT735W8y1i+zOrRIkKinFYzEsEHVhNEEXklQLbCILjEaC0yNl46HV1a50e0KdgS4915YQi+xlhfSKjNFkLyvo7QSt6tAY08hflJv39khMaHe9c2ty0+3nBGHXtZt7dp5YFWQWElLL8lBM9/+ZXgvR3ATNjantVLHX5QeLpC7CwDvmMJWQIa1KjEJfqknFSzHVLLPazNLyDdmtjXQagUVuziPIy5uc5gRYFRkLVyIQR+rcOHqZZ//4GpILGQqvJKT/a5qxBx2aY/LgrDUFa7eOUZ1U2bhKHrQX3qBh1hL8osXU+zRWrsvSmFBoj0nQ08AfP4WIYyY/9hw7vhixcaVBZ0Dg39CktgtSqzFKBNneNsFLOdauzlB9awdrWeVTt32TVs0mSgTVZdlJk70P8W+ev1e/MnurOCWBN5hFbXsEGZVYZeuAz6EGDHhkMw4LGwWeu7iN0gvSeXl6ZpSZuTLWGmQXQgpnNPInTRJXxa+ZWOsKhQtg1qVGI70Ibdeg53kNqxbRc0bGnhVf4BcErSEVr6BL9YptERw7IKmmK5s4gxZBWkGMdTD1kHzaIYgVIhQyqkuEQoSQSoFEIU4SCooEUfhpBbdkYDRkryi0FbycINYFTr/seZOAtqmj+PJW2V4VRCsplI5K8ZVOV8cUSzdlDEZdph+yiyFWJUIkcj0yKir52ZD0akh2LsasgFuS+q12v0qQUVA6AXHOprOrF82JUKKYyJYR32jQYzRdw+yul63u2N3tRg6CWKPZjfjO+GX8UkRkQmsijd6S8nk/o9Ia0vALsTwUC9AaKovPD5F90SA3HWPVYtwNm8iE9LJPkJLRs8iWZOVXo8tWVWo7Yk1gbSb0PQfFc01G/mWZgR8JrEpCY1dEfRdsHNAI0l1OhBC4ZRtjvU1nJLPVwU2siF67jamGaErMciMntTode0ttI4F6AWo+4Ou3/TlGM6E1KDVz49/r4E+46G04ODnH8Ze38TNHH2fX4BrZtMvf/d7bCIoxy7dLsNrS2wOC19dJLmZQ3Rj3WJOkoxFkY4Yfi1E92DiYwqwKZu4w+NpPvwVr3WfnF1cYv8/Buu84fiGh+ZYWXimhPajglATlF+SGU2tHVCcNgoxg8K1ztOs2L10aJkkETqRjKiFRIrDVgDhRpPc5lu/txM5VvLzA7bNR6w72iovbI7toAG45pr3LJ0mHEAo2axm0uioHBCcKvLAxTGpRsgOsNci/JGFtiSuTQelFgb0ZowRyyDC32kPhRY3eF3ys9YTMKzpaW9CcAC8r6JS1rVvQaETecKRmGkTFNH5GoTmmYygRxS7tOdG7dauWJ3UlmgKaKg88QPHlhI1WmnZgkjcdlp0ci26Bhm/jhhqVWhr3Qp7tkyuYGwrUDI5sn2XnjhUYckmPNkl6fIZyDaorOQ71L6KkQhItwZ3wuGJwCVMLyZkuhwYWyRQctIspdo2ssXChDy/U0C/Y5Lsqve+cObjVzdVFxOcu38re/CpupOMEOkExxtqM0Fy5XhntGKesd7VUXW95IHvp9oqCNjFGsJSmc6TD/Y9cwx1XnEVxFAwj5C/Wb0ZREpodk9Z6mt/4/Q9jf+c5mmsZUosqD7Qn8fMCsWLxn7c9wtX3/WfaTYtvP3Etet6jf3Kdf/3qMX7uqsdASdDUiN+Y+B6Lb8pz/+xe0rrPtqENhgoNgvvKtNdTlF4QJEbC6mqee3/sT4irJuGYS5ioOG2Dr935eayq9GcazYg4baK2PJKUKeO+foTSnTF0rtvBwDM+SsmjNl+g7etkbA9nJUOP2eHG/mm2DWzwrxeuYOqVQTQlJhp2CSdcfnHxNnak19E6gnDDwgl1ljt5Gh2LlieHK16oofU6rLSymHpAQe1w28jLABzZPsuym+enRp8mk/KoN1L0j1XI2B74CqPb1jm33s/aVIn0WIMgUlErOhuXekhUFa3pUVJbbEYZylqj+36HWEIO+VaDHCe9Au0hhViD5qhK8YJMqPlZhdaw1jUSyD2MtZFQPi33GrkpBaMeYW9IJVhmziHSuzUl5P5chDB3q0lqWdYQw4yOUfdpjUl9Yt8JeeGTWhY4AzFOWdAc7aptNIFRD6gcLODn5FA81uQQKmv67LWXAFk1U72IWJeAJ2u9q2aJE9yi/Kzfc2CeFyuDjO5bQUylMLWQjC4HIu1H+/BDDXusiXJlHa3HZTK/xrb0Jpuv9/n65D/yofxF/uDZW3HLgBnT+32T/DmVvO5i7a0xO1tmYykP+YDLD21jr5GitpyTUKhQRTmbZd/YMldMznPD4AyvVMpUgjSfP34Ltx58kbTho9UVRNFH/1QRoybTi0rr36+ZUT/1qU/9u//y/1df/+O/f/ZTI+XDCPEqJTTBGbCk3LYKmYWA1T06fqiyb3AVJzTQ1Zj3jp/gmwtX89LmAO2mTcs1+dDBp3jvwSd5vLILQ4tYODVEMpOiMx5yaGyebT2brLsZStkOdddC6fFxXJ0P7nmWJ6YmaZ8vYqzpNA/4XL7ji/z84eN8cvspfLPJ6dooTmhwx74zeKpOrAiOr46TCMFAoclaJ4sT6KxP9VKYijGWGyS2wfyNFgVTCuEbjoWuRXyo/zwLYcJxZzvPXdxHdt7H6dWkpysvwSXusRZhy8Ba0rE2wS8I9KbAHclRPFPFrli8ku5hx5cWWfrgAUlz7JGRmiCt4A7FJLHG9i9vsH59htxcRHIpTd+fPo1/eCftYQ3rt9r86V1f4pNPvxutooOA6n4F3TVZO2KRuagS5kw2rlLpeUmgf3KVJzZ30ahkEHZCJbC5cngBVXThRoCX6AzrVXYbASERf/7KdVhrQm5udDlfdosKnX6FMA0kAjUQKK5CakXGKPqfqZOec9AdE3tZJbUWEKa7N65FgeoINFdqHuxNOdk36yH5KYfeEx2slQ5qKPAKGo2dSOR+WsZC1QA0XxBnLLxeA6MW4IykCdMqkS6ID3QYyMiDTZ/ZYqbTi6WGrLlZritMc7o2ihBwODPLqfY4lxYGMCoKhcshbknK64OMYPMQEtTi6fgZBfObWfSGSm03EGuEadmbG3ugJntBqmDqHoNIFxReBrdPsH5dmsm/rTP1cZ3yMwlqS2f8mxvE5y5Qun+R1teKVFQD+0CdVmxiNBUqh2IizaR+ZZ7stCA76zD9nh6MhqC+S/CDhb0c3THNyY1RbiheIq14JELGelURU1A7LIVFnqtO4J7Ko0RSgRBk5YEzSonujaMk0Ko+aI6QxNSioO/ZBmHOJLUSkrtQJ7F0artMopRAJILUKiS6PNAbrYTWiELvGY/8RYfUpiDJpmiO6tT3JLS2S7DGq1Abt0tHDm1Fgq+qEfVtGponPZTzhRQHBxfYiHL0aG1+sLabnCFvvYu2Q62T4sqeJQw1YrFVwP4nn9yCgp/XCFMCpx/CbIyyu42uRVx6dhx7LaH8gs/mAZ3f/vQ/cPyafiqLBbb9c43810+RmXdYuqtA3+QGNTdNekk6VENLY/RBj7U7AwYfSCi94JH7pxOoO7fx8n8pcOIvv8cH3nWaj19/nB/25dh8bIjIljeCbi/o52xK5yLsD6zQOVkivZLwPW8PVsFjuZnHyvrkLRddibvxXkEnMhizqxxLSbft56YOY8zouCVVDv5CGZtujwicwZjA1UkCBW8ljT1tkLmo0vfYCpnpOunlLOk5Fase42dVmUIoJyhel2AsBJmlBK+goLkJhfMtit/tkDmzihbrbB6yaB1ySQIVvxjLIY6hIISGks0T5DTsZQdnZ0lOqlsx6vUt0kbAZjONaYQcyC8TJar0ICcaQiTsMtYxlYSlUOObL16H3pTDDiWRQDe3V8EpC6IUiEiuE4kqf0dTK5C/7FN4uYXRMrA25fceZuS02iuKrRguCqi+9IAadXlQLZ1qokSC2FRxyiqdIVB90e0vydenBXJKHBuyJuEVdGJDobJXRR/tMJKrkyC6UB2FBIEqEmpRirLR5CprlZxi8LmVa1h9sQ+9jVzPyxqRJXD6Ba3xBNWTnVp7RcXd5nPw4GUWMjaFUwq5qSblp9oUXmwSpwya4waRJbrdcPnzMBryeTQbMalll/R3TpCaa+BO9rPym1C+cY3i1Zs0VA2Wre4gSCFM6aihQHMi3IEUkSX7o+1hBb8cYWd80rqPF2sIAVXHZjDXZG6jyIHyCgcz8ziJzlP3HuGrjcOkFwTZpZDZd6h4BRNjVaO+J2F1rYBe1zh9YRs1U+PsdV9n9PqzPNyYpPS4Sv8fPUfp28t0hndx+G0vcU4MYF4yiSdclE0dvaVQvTLGaCgMP1yh+JXTaEHC1M+Uee6z/8AH3nWa9//SCp+46gSfPXOU0vMKbr8ku6q+oPRCi9WjaZRIxqy953NEex2itoGeCthV3MCNdEwlwusCygbMBtfaK6QUg79e2Y+zkCURCmHRRvNi3B6N1qiCX5J6kSRW0BoqRlXFnDEYfDYgf2qV3GJC3S1hb8Z4BQWjJesPsSEHaNKs9uoBFeylNsVTgsLJNdl71XTqkwpKKN/zMCUkKK2VoAgNtz+F1g4RikJnNIUSJGwcgnRfh6pjo6oJ2vcNeRgVEKcNFC+EV52kqkJrzKLeL9isZBFWQoKg6qZoBiYb9Qzxuk3cE5B8vwf32jb7di2yPb1ByWoz3ykQBCrv2HMWTY3ZObDG2c1B2utpknSEYsQoesJtQ+c5Xx8gpfvEKIh+jyPlWT6w90e0FRsx5LFWz9Jq24wPbjJVL2MaEY/Vd5MzXEpmm8utXhIEypM51FBqt8K0RpBVZQ9TFVgbPm6vjluSz37+ckLtQA6/CHZfhygb8fLlERIt4YZd0zzywn7EZRtfU5jcsUxtvkD2mSVK/7LAxttHePbMHlKr8P57HkETMY8tTfITV55kOirw6wcf5NTnDtN4o8Nc0EMj0dGeybHt4CI3Hz7DYLbF4zM72VwuUP4fCp0RE+VAiwM3T7PkZYk7Ot+4cJREixF6zHS1l93Da3x19ijRYoqkqy5JzTaIbQO11gLbJE4ZtIZ1YhMyCxFrVxtkdtZxQx1nM0Wx1Gb/+CKbXprTayMIJcEyQ2Ij4aXVISJHJ1vskAjBe/ue4TvOfnoGGizN9vKGnS9TDdO4gY5lyFv45kqWXSNrrDWzXPQHOF8bIIhU5lZLeKrKg09cQ2GoQW+ujRvoNNo2qh2SMgM2p3tIrBgz4yNEwjuuPsWlk+OUjleIMxZX3jmFISJEtx5RibK0Y4t6lCKIVXqNFo+fuBKQN56hpaK5CZGp4PbK3qfehjAj++8SXAR2JcGsh2RnXayqRqfPwCsqpNdjWiMKndEEa0MhvST7pGZLemzNSohV02gPqLSHNKxaTHWvIDct97axLpM2qiefHT8j/b9mMybWBO0RwaGD00zaq2yEWWa/O4pRcYhtjURXUDsBYrWCUirSOFhi3zXHebw2ycKzw1RCm5H9q1xc7GNhsZfekRqNvCABvI7B3XtPEegqX9/2A37t/M0kCmzaJp+4/y7wVdTtLSJHx9kV4KcU8n1N2oGJu5rmruuP865tz3Mu38NfLh3AjTXe9vrnuVgtc/LOL/Ct6m5eXupnyclxzcACL1YGaTkWjqKzsFwiUmF8bIPgpTxuSUVzBXrN49La48uf+tSn/ur/7Wz4H0Mzo0jgyauT1UI08QAAIABJREFUWXTZdxExOP0JfX/2PObHDhAGKmfnhjg4vsCGk+ErM9dSradhzua//vi3+GBujS/VB5j2+jh79GsAHFHuplJNoy1bLHbyVJwUbdfAWcqg9bqYVsC+wVX+4slbUFsq6u4m1wzP8ffjj3Pk5N20nuvFK8V8+JYfULAdpmb6eSTazVtGzvFktAPH1zk4usCp2VF6Cm0ODC9z/vJ2goxKtKeX1GyDkt2h4kpn4eXVEoO5xtZLP98epHSmyfKxHHpbTuLdoYDCaZ1rbp/m0aUr2P6VJZZuH+KlT3yBS0GLv6oc45UP9PPlib/hLV//FfADhu9f5eKH+jAq8mAa9QTkzhoMPlahcrSP7f+4TnT+Iiaw9Ms3cPYXv8BPz93Ej354gHdXP8wNO6eZv3eSjSs0hh8LafdrqK6USld3K/Q/F9IcVblj4EW+8MCtkIvYV1xhdrZMXusQJwqd2JDqBCCnuMTEVOKQ9IxKokrwjZ+R/zxMia2bDaMuMJrgvK7JTW++wJBZ42+O3EDqeZuBZzvoM2sAeDeMEmQlxCjWZNcxUeTmNLQE+WdXCRcWUYpFLv3SHnqvWWWjApYVsL20yYXVMtqTWWIV2gM69maE6iX4RRmvBbkR6bQtdBFjqBEznRLb0xvUghRZ3eWxyiSaEpPWPNxY5+b8ec7ddwXzbxZYmypGI6E9KLruRYV4yGX8axqpi6vc8Z3jfO7km9g9vMoH7/wRhoj4++Xr6fxoAHW5grt/kPxLGk5fQnUf2OtgbQjaE1l2/16DOKVTeugEEfDg0mkADjyzH+GpZC0Pr6rg7nLZ9ZcRFz+YYM/q9KyGXPiAxcATMsKW3NBAfzTPwhUFbh08T1Zx6CRy6mmJAEXCzPETjYzuoTyxwuLbB6WnK5I+QD8re7UiTsgsSH9b7XqXpKMhfMH0XXlQYOBpQZQ2SVQZJUwEGK2EyJCdz8iQP/Phx1pShWJpNId1Rn96lpmndlJ+XvY0Gjtj8q8IUhsxflqhU1bQ26B3JHXTrCb4BXkrb08btK40GTM3cWOd4UxdbiLVkNWWpBMqImHZyaOrEdGFyyy98wYKUxJH3xkEsiHuho1Y1Nh2f51Ld+d45vf/hsdd+OfqNdw1cJIPffB7fP8nVX7nlz5E5sV1ii+oNGb7sXzIzkcMPt5k/UietatTWKdBf+gp1EKeuV+7gRc/+QUAbhs6BIBayDPzc7txhyO2fTtk9nYZg4wNWHizoO/vBkgmYfNIyPZ/ipm+x+To7mleWBomb7gEsUrdt/BjDU3EFLXXQAvqy2kJ6mpLp6oS0dWtJJAIslMycn30nWf43aEHGNQyPPQrOr9+7k7yf5aQ/uaz8nv5iaPEBuhNQZBJMDdVYl2+p/ZmTOaJKaLNCvSWuPAbu/jXuz7Hr83eybXFGUaMCn9y4Rac50soAbSHFBAG6QWXzkhKQkkU8LMK1UaK8mCLfNrB9XVMRToZvVdvGBMVqytM3oxTWBtCwnk0cIoqscFWpClREsxNgV+EYCDgyl0zWGrIhWqZzUfKDD1aRam1SCyT9mBZbiBcGdsiEZhV6VUVEZgXV0iaLeIdo0zdYyBSIUmYUB6ok9ID5l7up+cF+fN1e1T0joLqxoQpdSt1oLeg2bDwYo00HkWtTZwoNCNLOlGVEJUEozuonWsWMWvSCRqZMsIcZF7rOhk1uc6417Z4y44LfLD3CcrjHvdecRUPre5FfLoX/elzaCvrZPr34fTKA4velH47vZUQ2pA+1YSpORJNY/qXDmAfqqA82oM7lWb+Sp033nWc+zoHyDxuEaRlNM5saER2gohlX6s1pGLUEnAV8oaLrQZ0Ap2M7tN0TVaaWcbLVUbsKkGiklNcnH6wlzVyMx1CW2XohwpLt0QkIkFrqMQmRFbCJ978ABOGVMwcs+r82K6zfOYvT/PWS3dDEDL8pRc56x3AtiE3E+HnbEQMlQOQuawy/LUpko6Dun83U+/r4T23PMntY9eQhPKm8+7zK9xz7TP889xNZC8n1CchswRr12ZJr8QEtiAsCYyVbvcrEISBiqFIT3Y7MiS4K9LIqi5FxQZg5XwfeUf6cQNbwd9mEWTl516YjTE3VVLLgvZQwn+6+0Hek3uBZ90hfuX+97L92z4DX36BuNMhuf5KFl+f3nL6ii5ZNLUa4/So9D22TDg9gwBmf+0GwsNNdvYt8MZ0lb2pZS46fTz2D0dQwoTGmEZGt9EcCdEL8rqsTwD2mkKP1SaMFaJYApVEwmuRvFcvEIIQbyRPeiWiaYUksWBptUAm79BpW8Q1A6u/DW1Bz6468R0C8wdlLp3dTuV1KY6WZzjYv0Ra81h0C4ynKjwwu5eBbJNNp4SS94lChR6rw5dOHOPmfa/w031PcNYd5ecK8+z90ft55hvXsn6VoHwyhqsV4iGP1XqW0aJUGV2ql7h16GW+v7wbTYm5uneeH9oDch9RsmRCLwGjFRNaCm6fSaLI98baUPBy4PYI9LEWnqdx5fAS5/V+Dg/Ncyx/kVNnryAy4Wvv+zMOmwY/nzvKA4euRJuyufj+L3DHtXcw/aFx/uLJW/jl198PIuFkZRT1uRxfKVxHZa9KNuOQfKlMvk+lPhnzscIiADu/+i5+9W3f4SP5JYK3R+z5wYcZ+XKacx/pR1Fj7N4OipKgKjGtpsWeoVVePjFO/oKQt7YRpNYSUBVJaU5ZiFaHYCLX1cWB+f3TOG+9BhHoCDWmf1uNKBFbvmTP13Acg6FSnXfvfZIfbuzGj1UuLPex+d0Cn7j9PQiRcLR/lnbvMo8u7uLowBwvVgYZytR59oWd7Ny9zHS1h07DYi4psr13k3vGj3PEnua4s52De2Z5wRnnDx+9nfRIk3zGYX01z6aSJj9ep9m2CAINXQ+Z7fRIe0HGkgArERIlCqqIWY9yDGtVjgfbMJWQTmxwk7XY1dFJX7rTJ2PvsS7TVkZD3p5qjvxz9coIu69Ds+txHvk7E70ZkT2zRuNgP06PguaANi9BU0oo48KhKShMOSSGQmrRZf2qFD0vSsd4ak+NupknKfr0P6h3WQwCP6ti1mXyq9Mn97NGDWZaPUQFBVORukC/lEIkCXrDl89hGIIvbRCvs+Bnnh4jshIIBQsbBdRlk7AckDZ8Dk0u8tjlHeROWHytcQOZ0Qa/s76PW8de5jP9p/nxi7eRGm8Qni6Q2eEhBGhaRKujMVPr4WDfEkrvEqYScqK5jaXFHvb9t1WaP1Xmu7NHKZ+OedsXf5bNn+/wB9d8g09+/3082ppk/+gy+kDM0olBXv+GF3ny8QPMrfaQvDOk72EFe9XBG8rA2f/H0+C/+foPEfF9NcKbqAph3iQy1S0CqggFaiHPWE+Vq8fmJYId+MnRE6QNn9RzKRIt4QpzgTeeewf37h3gvk/ewnW/+jF+YekIx6++F1WPMHY0WKzncXwd/1KO3u0Vrh2fpVWzOb/Sz+TkElExYLDQ2DqcllJtzn/sCzxz52f54ceu44923Msnjj5K0XL4p1euJm84tOs2VS+FqkW0XYMXpkbR98oDqFELEF7IWjsDQNVLMdJbo8+WDHM/UVFFwqV3ZdEcqZXIzcToWZ/2TW2mGr30nhQs3T7EJ3/hm/zM/I18fPwYp68C5/WrfOTie9Gagmi4F3dM+jjTSwm9z6mUH9dpXuUSlFI0JhRY7h7y3nqEs78oN8hL1zXpuXKdG0cvs35DjYU3KWQWEzofr1E628LtS2iOKGz7+iqdskqQFXzj07fyybfcD8D9J69A35AdxgixJZvPqO6/eX/11mvdh0RAe1AQZOT7a693yauTEW/YdpGHLu1myStw3bbL8LoqSzeliIs5wsUlUms+mpOgN5OtBcasdVUmGxHRyirCNPGu3s7Y9QtUnxwgfTxFeDbP2Quj+I6OV5TRtiAt8HPKlqJCxK91FKKm3AynVZ9Bq86FVp90L4qYw/k5wlihz2jSjk2eau5CcyKMukLlStl53XnrNMnhBlEqpvdBi/SpeS58tI+fK8yz832niG/f5He+fA//x++/n3/e+TBur4W7ewBrpU1qPab3bHfTtysgtRbTGNO4dE8RcfI88bFDPLh0mlbsctvQIT66+0mOXX0e+7bLeLsdfunIw1y626b8lEaQS9BbIfmXNbyCBAD5F3J4BQmyum9xP53E3AIlFZRON0Ipn7EwVqFaJ7Re85u2xxL8oowFFi4FEuSzDRJfYe9vTTF2f8zoox4ksHiLgr5SwysZaB0ZwU2thYSWnBi+Gi/08wai4+GVTHL3LHL61A52fKvF5pVSI7Pn8ys0J6CyW8XPSXJepEs1RWhLum8iZFwRARU/jSIS3ETn5Y0+1jvyz4fKS1sxQyfU0bt5p85oxOLtMiqnTLbQTKmO0hwQ5y9zxfVTfGZzF5/efojzh0Pu3TvAbUOH2K3X2Xx/m/XXDcioUCWh+EpIe0Bh8Y0FzLp0PRYuRmiDAyz+1H7+64e+ysHn3sNtQ4fY+7zG4VMxUa3O6KefIj9WZ/ouldwliDKRlIhvqLQHFVQPRu8TLF9v0lNucG69H8/RCWKVOJH07IzuYWkBXWNadw3qAud0UAOo7gNv1O9GchUZ3z7g8JnhBzn2rV/m2Jk7+Xb1MB/Z+STzH4i2NqXZiw30liRta22x5SWMdYG16cvDKfDKb+3inbc8y9u/+Yu89PwEf/vwzfzuybdyVd8iyf4msSn7xH5WkGhSAaA5EXFXBRMHCp3AQIiEVluexF7ta5pKQErx6QJRiRJFTr5VuWEIsnKD5pRl/9msyP+mO+JT7q/z/CsTnFwaoda0GXz7LCvHiiSGDmubWLUIxU8wq8lWDE5zZfRPcyIS1wXTZPnmvIwHzlikpgw6j5dZen4QpdfD6Rf4WTksC1KC2BAoviTBJqrAqCcQCDqhjhdrLPsFOrGBKuKt/n5K8bY+lKNEbqg6A6/FtyMDvGJMbCVkFmKCDAyX6jz59at593d/nlt/9PP85eNvYDDV4NLdGkqpB4IAazPArMm+otFKZIrElb+zSr2NyKQRe3YSbHfwjvcQ31xj6X0+zmDEY189wq7hNZyy3PzGhkzAJAo4PVrXrymHIFgx7dAgTKTSrOrapEyfcrrNZjtFNUix4PfQr7Yovhyj+DB3a4rlY6asJXQU7L4OWkcw+aUapVMCSwT84kP3cOCZe7jhxE/z+O9fx8Hf+ziv/EYaEUZE+yYoTEuWg+onWOuC/JT8eY1+a57aLdtR8jkaewu8/dZn+cZ3j7H2M0f475efo3H/Du7dO8BXTx4lPx1Ln3NL9jUzSxGrR1/7HEuveEz0VlBLHpoe4cevzfe9WCOvu0QIVCHfQaOubHUblTCRFZNB+bupOgr2SkJrLOaNrz/N1y4d4W9r17AUFPnwLT/A+u1lhG1BkiCePoPRkPFCsyIHDHqnu8F2E8LpGQDUvbuIjzTwGiaz39vG8S9cxZf+4g68WKOxJ0R1ITYE7QG1qwSSih8lkgwMvZHIIZcS44Yaii97p4kQEioYdonEyqsaPBVdj8ikJXG4nGmjahGKK/DmM8TjLpV6mo3pHob+4CnKLwSof9rLd354LROpTc5sDnFT8eLWerVYz3PF4ctk0i5JINfonzj0PEGsshLmGdU3Ofj7Hyd+JYP1kSViDVJrPrGR8M4Dpwl8jQsXpWrD9XV+sDJJj92h7lg8NL0HP59gVkO53uivUeCVKKFTlj1FoyFjobEuCPIJ+bRDuC6hcFcMLPOZ4e/xJ6/cwuDfnkV/3SaHTYMDz9zDxSMeO+45xfhvPyXfi69GjD7SAS1h2S9gpALWHhrBPdTho2OPkTqyQW2qB4SgvifCHJJDxTuO/TiZOcFH8kvccezHedvwYS694cu0+1WGcg3Stkfa8mmvpdHUCDZMUpqPvaIw/r4pSi/5FKZDVD8hURSIYwhCkrSN4sVElkyFJGGIWnZxHQMEHCnPMZhu4IYa7cBAURJGy1X+285v8+cvvo6c4fALo99n6ua/Zej9lzEfzREFCk8tT3BNboZaLc10s0SlneJipRcRC9KaT2suh24H9OebfGXHt/jixRv43bm38ZWZa7l38yifKM4ytGud1mqGIFTpKTdIEvACDYlxSfB9jTiRysEwZ6F0AjbDzNazFyTSiJFXHTqxQVHrMKhlJLtCl89NIiQAKTJfUxgFmW4tQU0oPa+iP5GjdJ/FnXtPM/e+SPbHk4T0XAuRSGaGEoLbK/ePdiVC78R4PQZqw2fzihRaS7B6Y8L6tTH5L2fZ9h0fmhqbV8iUTZCWEMhIF+jteEuHpvoJecNhKSgQJ0rXFS4hTyL8t0wbtZuQVV1B0u8xtG0D+1QKJYByf52Ga/LI6X3kHk4TZOBHP/ZZ1IeL/N1jN3H2TT1cdfzdfHvXg7TW0oTphLThs613E8/TyFzSyNsuZ9YHualwgbfkXuCJxe3s+6154kIGrxSjtQTVn2wz8w6N4Q+t8sWl15Hpb6EbITPVIr12i2TCwYl0tJZgYmATGjr17QpK+zXDwL/n6z/EATVRBLGpERsqeqWD6kWSqupDrCes37mPHrNDK5Cbs5fX+vmTs7fgBDq77rrAPW9+gk/P30G/3eTBpdNUfqHN33/6szxwcR/vvXwL9x79aywjQFcjPrDrWaJ+j7ZrcGZtEEWLyaVdpld7GRiu8v19/8JHF67nxsFpHthzH2d8l5nQYN/nX+K4O46pBLQDg/FSlbVOlr4+CYG4ZnSea4bnKPS2GCtWSRTQmh6JqZE2fDKGR1rzGcnUtkARbqKjkKBMtKne4BEealHZL0g9lSaomjiBzsahhPpRlyGtytzRNm95qcbFPz2Kd8cRKt8eYeJNMyQnXkR1I1RHTrcjQ/Yrxv5Rxbywgt6CqFZHObiX2XfF7H7iA7zlre9l/Wev53+f/C6PvLgXgN+87duY9YgkEUzflSE7LR/wmbv7qe5PaO0M0J2YHq0lYz5GTJCXCog4UTBFiK6EXX2CnE4Hidw4Ov2C2m4ZU/YLCYmabInZa3sSduxf4sxnDhLPpzm9OczTl7YhflhEua7K1PuKqOUy+koTezMmtR5teXJVX05CZadOofmOQ6x83GXpkVE0B2567/NM3DRL4ZRO/riFOxLQHhX4eXB6FbyCgltQafcptIbl4yBSEj5T9W0W3QK9ZpuM6mGrPhtBBi/SCBKV/eYiJ9bHuPwOg8xcglFVqByMeen5CbSnc+hlh9oeOPfbY0y99y848r/9LLO/cwP1O69i6E3z+DnBjn/8GAvvC/FzGutHCmzuF/hpgdYR5M/qJIokyY096KFk0hiLVV7/0Y9w5SM/B8BfX7yBNxXPsf6x64k7Gn9439vo2Vlh46qE1Ipg9bCN3kzwCoLmNsjMwOSbL1Ey2/ihPIgW1DZpxWMu7KESZQgSuXluBiada3dIYq7WvbVuCdILcnNanTSob5ebnMkPn2D2I3tYv0pn6ZjF+P0O6XmFYKhI5uUKVjWiPdTVgLgJ6QV5s5AISL20TJxPUduuU/n2COP3R9R2pwmzMV6PwB8q0HsmwSvH3ZiOjAf7Wdktbg/K7ydRwdkuF8B6F/Y0kq9zoGeFguFQ9W3OrfdvrTtzlSLBrdeAAD3rUb3Rw19Ik3s0BYY8PJceMVhq5Xn0ijTmYwMoB/dy8fNHSW48xNv/z19l4pM1Nq+OaW6TwKjIkjTA/HREdrolacS6oH3VKI29IXdn6gx/dBNxeD9/NHiC//mdYwA03nMdpT9MYZUdGjsTslMa7mBIMNnBvbpD6oYNNvdr/OS7fkhlsYDn6aQyHn4sgTuGEmGrAT1Gh4La2XqNQQY6QwnVAzGN7YIwG6FWdOJcSJiC2s0uv3nN/fwv6t4rTq+zPte+ntXf3mfmnT7SqMu2ZHXZcosBmx5TPiAE8oViCC0JkGw2oSQfKewdCBCKgdCM6dg0Y2ww7pZsJNmqVhmNRpre3nl7WX0fPGNnn+3vMHsOdaCf1mit5/mX+77uV374g1xx9QRxw6biRPjX+17Be7c9zPR/24eSSCAm59HrIclJD6MmN6nRBdnAGZOyOfVu2kF8pMrdh3ajuILxN9zBhTfegTYW5dHxdWQSLVrFgE5XiJOUVNTyRpPKqEFtRNDqVhBKiO2r2K5GGMqhlx3o6KtVRVpt4Ya80IJ7UQlCqq2RdEpfR4InAvnsjeEQ0dSoP12QF34gcMsWM/cN0bimxeXX9SBSCcxlG6MRYjSDVcLqqi/NEKgtDxGNUr1hDW4c0ic0tDaY+0o0RzySF0FMRWj3SviOkxLYGSnj6mQ1WnmFVvdqTJIAQ/XxApWs1nwhaiaqODJDWnjoQqEatFmfXqKTl0TblW3+C/JDtSOw5lXmDwTYazosPdhHfdTjrdc9zjf2fpvBdQscenojfSPLXHrrMM41W9BXWjLKx5JNU3R1G+hZgrDRJCzmufQJHW3SwrdCvnTV97lm5CJdoyWcFJyf7iZ2zRKdQohvyKb5eeDZ0nad6jqwMwq4kuxad6UqoyvWIKrLyKBm22TZjrM1Ms0/zr6UZlGhcPMMPftmcRMBtb9rShr04SSF4x477jrN3vcd4WebCygZm/BIih9t+wYb33+a+kjAhr+v8MVHvsfijjjWXIPYXEC9X6X39yuotmxUg6USmadmmXzTEO/9xx/z3P+7Hr0h+OhffY/X/fp9RHWX0tv3sf7Pj1B/bZ12T4CTCSlt0pi9Tg44Gi9p0OoNaH+kyrlzfXgtjc5MHEPxsFdVC/rq91fQ6i98e04qINAFi7tWo7dUCLRVSqwNjUEYvXKaR+/fhnpvhl9MXsm981dw9xdvYvyREdo/WC3Cw5DUhEtixiOyLIdw1vJqfnRjNW88neLMX6YRR5MUH9ToeckU7/nbu2n1hZz7xFZ6hkqUt4Z0ctDqFjS7NFp5FTulUu9TcWMCvSVBKk3HwA+EzGmMSNuPVrdlswOE8QiKF1IfguZKhPJckoRlMzGTx2npJNeVMQcaaLqHdipGbErl4qf3Efn9SSZfCtEZhXu/eYD56SyPl9cRV22u6ZvA9xWmailcX0Wpadi+xslKL0Wrys+Xruajp15NY0A+/8XLXVglweVbLEIFfvbkLhLxNmrS4fxsN92JOnsKl5irJ2l1DDQtwC56uAkNxfbxDRlN5RuyWYjN+5h1Gc+itaDdFTL6/SpChFjFJrNjBZ4+tZbbJ17LW0efpn13jsZzWXZ+7N20Lyd4YPYY57+ym9ob97L2R+/C9jRqIxZKQ+VHD1zLe7c+in11A6+u84/PvZT66RzR4RrJXx7j9hse4uDer7Ltn/+CM5/McuwjX+Ytl6/j/O1Fln+1nh1HX0/9xU1mfjxC2zbIRloYSypBoDC4dY5j0320izI9otGn087KfE3h+6uNjvy/DHRpi+nkQoRp4lUN+gtlgrbGvc9dQd21aNkGrq9i6h57cpeYcnOcO3AnHynezxON9az56e0cyI1x5KNfxDpvUatHCUKFMBBkzRbbemZYWUgS76/Ju8lWsCyXb67/Hh+dv4lMtM0PR3/GXVu/za8PX8UtZ1/GE1feA0aA7Wrkoy00LaAvU8Vraeiaj2F4HD2yjjDqoTg+YUR/QVHhhwo9WpWKH8UOdNq+zplGD3+wXVITsiFf2e7LTWlUqoecTIDekHT35IEFjKqg+kdtQg263nmJ3359P/EjERZ2qbTXFVBqbQm8DCWPw6hDZCXAXl1w+IZgaXcS+5aaXApUZBrD0naNiVcadB8Uq2oTGdcnAmljrA9IkF87Ly0XF8s5EkqHvFaXEYFNF9UN8BIGdl4Oa8Oh4gvwSC8SEoaCoUSZxoiH0+WxPJ7lur5xlJhHu0tw+n1f5s8Gr6X3N7P0PClY+Hae3r+UPu0fvfjLmKM1lh/qlbVC2cKNw8xympWlJDdHL/KD0j7aZ9OgaSx+yqfnEAz9fAnH0Yj0NajcvB7vtT7v2vA4dsUiadkYio/X0rhUzWJ3+2xILZIYV1Ed8NIRFPc/B+j/p5//Eg0qgNp0CHUFLxV5YYPaKgaIQLByZchSJ04xUmMoVSYTb3H7lid4zeCzXPz+Ou48dA0npvvYnppk3G3g+ip/fuZP4XKUjq/Rr3mszZTYnF/AEh4/ue4OvrH9Tj6w4WH+cffPESLktk3HaHTkpZrUOpytdjNy7zt4/R/ewRsev535TpKoIs3Z/EeB6d8P0huvUqrEuVzNMN1IM17N44eCMxd7cSMKbtqSsQ4ipOGYWJrLcif2n88sAk6Vizhli7Cl4bR0vGRAc1+LnpESn9n4Y4pPhly/YYzPv+ilzPztfoaNZYQrmHqjR+50B+fveyi/dR+1NRF6D3bQWtC5uU7/X41x+Y/h/PuHVv17gvkDGSZe8g04H0M0O9z49qf514mX8OkDPyE4sJ3PffM2Gm+rEvtSiq4jAStX+6iO3HyJ3g7WrM7CLpVHKhtlkHvMQc/YKIQv4L3dQEMlRCWkHjjM+1EaazzcRICXDGgMSM9MKMBNrAI6dKjbppzsmgFN20CsNrDe0Qx+PGDhtlGCqImdVGjnVNpdsiD1LOm3UJwAtbebpde0iZouyUsBgQ4H54ZpuQaqIyWqwlYIdElr7eSgXVCw04JOQWBnJQQoGrep2hGCUGF7coqGZzDVzmAqHm3fIGO2cAOVB+pXML+SZNP2y6xsDWmvtdHyHUlQ3F/l9i1P0PewQ+aYygfnrmblxg52v8P8i13WJJbl9jfvoGo+s69xiM95mBXB8jUumWvnqW72mLshYOZlHvN7LUQ2Q/OrgsY7Kwz+SKHxuj3U5xJ89dJ12BlBtrfK+q8vEvtyinUfeIpmX4DagdpasPOSANvqhe5Ijclmhp3dUzihSsmXhZAh/Bck2lHVZrqUZmGXjt4CNyaLUtWGTiGk0xWQHnNQHLD7XIID21FXM9b0BqjVDsnLPus/d4aVnXmZ/2fBygaT2lrp+6iOSN9O7DNDAAAgAElEQVRfdU8/gabg3Vil64sHJbBlxSdxQSU+HaLPVwkVSD8nyH39ENHFADsnJ6FGVR784eoWLZFpkTcbRBUZ2dFyDcaqBbxQQREh+3ovMdHM0R+rsLNvkonbFAnmuhQjbGnofU06t9b4j+u/hVkKWfzwMNo3cyAE9X8eoDmSIDGuIp48RvGuU3i9WbZdeZHEJQj3Vlm6SuGdH/oF4l2LZD8/Q3lLiJ0UzO/ROfjSz/KGiZvwFxZRxqbY/9fvwpS9HZGSh28q5H8QZcMXZ6lvdjCXVIwzUYIFi+rJHNH5kJO1XoQr2FKco91cHXT58saquya2r2Gtxj2dcVqoOyt4BZfEQI3OkA0Cwm6bZLaJ1oRsusEf6iOUtgi2pmb5076nWBdfhFDwxftu5ZbXPsXYx7dCVw4nKagOa1SudvBiq544Tbww2dU+ukCtHCU6Jb1dfzm3k7sbSSnvv2jRcXRyx2X+bWPIpzqi4kUk2MsuyKGkFXWwXQ3b1dANbxW49nzj5lP3LRKKwAlDLrkFnGyAGw9xUwGt3gAvIYFdgSHPLb/LIYx7KB5YSRvX1hBRD6MeYh6P0hpyqe4s4qbkGVEbUmn2ycgrN6a8QB5sbSky9wqX9rCDWQvwDWjbBuai9K3HpgWhFkqIjSa/Fzuj0MkodHIyi7XVo6DGPFqegR1odAKdVmC8cHZ2GTWqfgwVQUqJsDa6hOjtoHQURMyjPezQKXoow006BZ/8EZXB4grNEQ+0kAUnyV+dfj3LD/WSOi+oPtTDn73pAZauMqlsTdPsVpi7LmDxOo+VrVBdKyOa/NE+msNx/v6qX2KUBYoreMf3380Tj2yldqhLSvMnLPLRJl1HffQGOCnZiHfy8v9ecaGTBeEppK02XqAykKzi+nLD33BMhvMr9EUqzLsp7hp+hOFXXeSf197D3GFZdK0cL9AectH3rzD1spCf/fgAj925CyUWY+gbKr2PtXj5PX/N1EfWMXi/z/hbe3jzmbdQXR8we1OGdl6hvN1j5sVZ5v7Ix9tdJ2i1mPjTfvRayD1LV+PmokQWQ/7jdS+DEEaTSwQ6LLxvP9FfJEmdFRQP+qSvn5cbChW8yRhmSWFmOotwBUIPIOXS9vVV9UKAsQq9en4b6IY+ufUl2j0hftqjOezT7vcRviBIeLJg9WG5FSV9XtpCdnVPcmVmhlZRYC3DpUtdzP7NfrRiD6EiaOU16gMKniVliaq7OpgFll+1mUyxRmJKEqNv7T5NQungZj18S2HhfAE/GhCdD+kMO3QK8s6rDyk0hgKchKA2Iqh1LGxPNj8Aq0Bi/OhqBqorM3jVlkuoIytIAbNjBUTZQDN9/ECBZ5PYdZOuYy5aQ1pVZt99NairUvUYjK6Z5w/jw5yo93F4YZBCskG9aaGrPunRFUzV45bu09iBxli5QGMuTnRWwYuEZLtqtHp9tIYgMANyxxScJ3MwE8F3FKbKaR6c2kDH1fA9lTAEY1GTELWYhrXsEGhye6y3A9yoglHzceMhrf6A4kGPdl+MhfE8xXSN0AzoGVxha3KWX85eifrpHB945b3kvnEIo6ww6TVAD5i/0Wf7zgucv1Dkqf9xB0O/dgn7O3z13LXcuftbfOvmbxAxXDbvu4h/JM3cO6/mT1LPklGjdP/7QRLJNlu/8BccenwL//O27+L9Pk/5UoZzB+6k68sH+cXuO7i+MIZZFlQrUZYbMdwVi7DbZqxUwElJUB8AQUioa4SWTqgouAl1NW9eUH3NdqKTGv3xCkbSZvPgHDPlFMPZFeZXkvih4J+6T/D3z7wcgE1GFEtx0VryvfhVK0mog3rR4lBlDVbMYUN8gYV2gki6Q6tl0h2pE58UvHfDo4zocX5z9EqyVpO4YvGL+pUIVyFpdPhatZcXbz1Nd6rOXw39jlbNotqxyPfUiFsyucMaqKPPr/qgg4BLTh5VBLQCk1ogm7dlL05EddmamOWL839Es1uRtUhDxU1Co381z9qVg6fKxpBSVdbjwYKFasPpqSJeXDaRr3v5EzSKOs0NefRGSHVUoToK7iqZ11rxaedlrF9lY4h/IkV8Eka/eJH0cZ1Ov4NeV2jnFfbtOYtZDrEz8t33rFVFjeCFzaqhyWHlgpvCNxS8mE6orHIbfGmBFC2b+maHL1UGSF1ZQlk0eGpsDWgh6HJ4sys+QfJQhP5/PsjOj78boWlMvboX423zfHj971i8oZeX9G5jt6nz/k0PUzjmMnXfMOmTGkPXThKGgps2n+WvJ1/FdamzrPnEM/z6D79G+3GOuRsCjDtq/Gjf13hg11dxkgJhGrwnPUXksk71oR66LJl57AeyUc/qTVKXPLJnPLyohuL839agCuh0R9FLLbRaB7G6dTOqAnvQJlRDSs0ou5ITnJrp5cNrf8v3Jnby3W+9hPJOKe35yPb7AfinuVv4+NZ7id1yEbfgsjM9yZ3VK7gpe5ak3qGg1agEEW4/8WZ+t7KZTx5/ObeveZypVgaxGoyliJDRhJzQ5H4SJfGMxfbkFE/X1/KGRJnKWpXc9XMcn+njc7t/SMxwaTo65UaURiWK6Kgv+KCcQoSEbjOcLDFVT1PpRF547DXaCu8aehQ16ZAo1tk0PAcJl9dteoao7vKxd76D+L3HuDF9Bm/iMpGlkP9+/NVEhuoMfF/DmK1hzNXY/d5nMBoBF2/T8SPwsjWnGf/GBowljeicjAdYun0v7mpvPPyxQ2DoPHjnXiJ/ofLRe96EcWmJ2FzAE1d/F/M3h2m9pcLIPQH27gadbIiYjGAtA6NNDk4PE+lroGkB5ir+/fnctKj6nzmaeTVGVulQGChL70PUJ4gGkky5tg2hIDYjIThLKwmMWkh0VqVaiZJ4Mkp0MSA6GyLSDuXNIZ3eKF5EDiycrE+7O6TZJwPrO3kdZyDHu7Y+QTFRw6z5JCYDmsezTE0UVr0HAhIusWmIzckMRc9a9XQFoLhSfqEoAQmjQ1RzeLY2gKn4vDR/krP1bgpGnY6vs9Za5OXJY3xo2+/kK9xt84orTqCei6FsrpOMdvj+519CaYtJYxDuOX410eMRzBmdnp4Kl3a3aRcEuYdNzKfjvO1K2ZiFChSKVeaf60KJuxQfkVul+HRA/couvrD+hwwkq3hRhdqQyvp3/4GVgz3SV3JXlvseuZvSZp3z39jJ+jsW0F66jOIItIZCfFJuHE+U5MSs7MjpZ1LpUPFjKEhAUkFtElUcdg1M0hlypKwwL6eQnXyI1hBkTsvGJLIUopg+nYKB4kBjjU/Pvx3ET1n4huCRqVHqg8oqvQ6qG0KMqpR46/WQRr+g1aUQWCrDWdmtqR0fvebS/4tZ0uebOAMZQiFY2eegplMEqtwAlTcqq9LQEL0BhOA4GimtLf20IqArWmckWWK+mWS5Hef4ch+v7z7CUidOxYnyJ3sPEXbZmBuqxMc1krEONw2e53+svYLcNw6xsjFCYqxG43V7aPRqzO1T6X1I/jvDMGT2hgTHTq5hZbvPcHaFb/7Jl/jOJ17JysNFTv58E1pvi/atNbx4QFGLc+nL69GGBgg9j8QPn6L7C1ISFqiCN3/uXqL3PM3SDX2sf8ezuImQ5L5FVFtgLcl3Y76ZZOuVlwEoFqpYqktCt9EUH0v1ZAbg6re4yYjyxrVHQYQMZcrEUh2SPXUGu1eozSZIXvJZWkxyqZ4DAb+fW8/3Zvfw0x9eT+GZELMs+EDhMf7kxY/RHsngxqF+XRs96uL0uLQGPFo9gsbmLtT1a/ne+h+hmrKB6X3c5/5f7+JDD74BQvCjIbcOPodRD8ics1FcQXPQp5NbzZxryS24ofkkLZtExEbTfFTCFzJQAaKKjR+GpBWNvZGLhBkHPxrIsyXl4Xa5+NEAtS0lizQ0cGSh4l2ME7Q0IucsmX3oQKzQojqiUu/XaBRVWsUA3wpxUiGNPoGTFDhpjfI6nfX9C6DIPOjs2QD3UhxzRUq0QgWsWblZjSxIWm67ACgyp1X40C6ERKI2Uc2RWZGrm1M/VGj4FotO8gUqJcBb0kco5qoEcQ/N8DESDgNrlgjHY0Rn5R1z+UIX6AGirfKbk1tZWU4w9KMZYvOSlF3Q6jSutGUm31YXEQoQIYEeEpgh1XUK9eEojaJKl1rHzst3p3jQIzoviE2HIELCjQ3OTvag131yZxyMqqCxxseLPu/HEvhWSBj9z7gjTfERIqQQaeAFCuPzBZadOAm1wx2VPv5h8BdEFRc3HSCycnhy246j2Eey5P6g0e4OKH7rJJPvv4rqiEGz30Lra6E+/AyRx57jT1/1MPFPxvn9q/8VNwbdr55Eq2g46RCUkOBcnOmP7Cc9JqV5VTtC48M1MmdaLO5Js/Hj5/nDd7Zj1ELMSkjh95PkT0rabu3BHq6/8QSptWWEL3BjIbExA7PYIgwEesRFFwGR1WeNqPK8ef5HFyo3957DyXtoEU9uf9IO2lADoQdE5hUyZ0MMzZebFQeyepMHpzYQnwyJz/oodZW1LxunvaWPZrdKba2MrmkNeNTXQGmLghdV0IYGWN4R8Ja1T5O41CF+ucXXf3oLf3f8VRhLGk5cQWRtrAWN1IRH/KxBq1cOWUIhbVShBp1elyCEdETmoYaqkPF31Y6MEsrGCGMWSq1NZWNcbrsrGghInVMJ4h7+ion+6zT56+bQoy7TN6o0BqVHvPiKy2z6zAqd7S3sfACfzBO2NE4tFGm0TRarccRYjGo5RmUsC8BjpXWYikf1RI7EuCajgHo6dA7mUdsK7T4PY0Vleb+Lv7POjdedAF+QibXlkEv18dsqnqeiuJKIHBgKbkJbzXsXeJYEpbXzGiIAa0Fh5gaNVl5D6Qj25ScYGFrm2u6L/Op718K/FXDjKl/84Stk7XNVlRvv/hBa1GP9Ow9zcraXA1eeA2Bht4nfUfnQ5t/xL1Mv5c/vfwcLUxnmmwle9ppDVLc5/O/lerujkx7zSZ2Dz03cTHN3i6GN83xw7moAXvfs23muUeQL77kDajrtCymUhEs0ZlOvRVCeB6QKCKKmJC8rCmgKWnt1eJKS3Aitvfqu6lKdEjEdNCGjvUxN/pm4GOX9s7sAOFhag7KmQUGr80htI937Zxm6r8XmxBw3D5/jdL0o/z7Npydb49Fz66iNBrw1uXpfPayQMdrMeQ0+nB3n+j2n0URA2YsRUV3ars6408XO0UvUmhYrlRiW5qGoIVf1zGKWBaGioNTaJNUOdT+CIgKCUKEZmOS1Bk3PZN5OMRgp0xiU6jo/5WFnfdy0bOC0prQqdB0G7XScQId132/S6A8xz0QggFZfyO/n1lPeDO28ipOWtha1IwhMmd++eLVOc0A2mWp7lWEiBKhSmWZNGgSmtPk8eW4tVsWn/+EWakeqGEJVDvYUD+xsSD7axEchr9elfzYE31DQ6+4L5G/helhTBstugivzs6TPCsIQ9BUNzfRJDVY51hyU8V3I4e/Uh3fjxuGRrT/no/f9P8Rn5Zn1pcoAb0pcZPomDb0e0hwIGTsrCeWPPLWVw2dHWK8vEtpSldbqFugrKhuSC7z+F+/nwO/+ErUDYVQOCAJDPsd9Y5sZyazIPOWIHDLX+7X/zerwnznt/6ef/xoU33/87Cf7+naj+OBkLbSmS2DqtAsKeApGVWX3VRf49fQWFDXkl6d30K5bjOydZrRniZ5ChUf/dT+FfUt8rOdhbj/5eq7522Xu3XYfB6Ilzrk6P1/YTsroUA8iHKqNEjMdGq5JMVljzk2TNVp4QuVX9QGeWRzga6M/I9ZdJ7a3ir6uyRf6jrA7Os5Nf/M+9r/tGa7LjRGaCneN72Fb1ww1N8JVXbNMLBSw5nTSF330hotiB8zt0ijG68w3k2zILrLYTnBd+ihtVOqhxe+f2MH7r/0tv3xiNyGC0xMDJO+KMXODjpLt4dCRLVz/zcscnxli+MNnqPcMk/nO0zRuWEfno03e1/8QT9x9Fa3rO2zZfYnfn9lEOyPwEwHmskJ1Q4gXl5lPrXUrPNxzA5nTbVLPLDLzqn6Gf77Chbf3cPxDd/Dyvh0AzO4bJffH87SeLGCVBO2eEBEI6LGJWg61hQSRhE1rPMXudRcIQgUB+KFKRHExFY8RzcVUfJ7xuqkYOoOFMhXPpLtYodmyEA2NyLIgPe5T69Lxogp2NsCa1YnPBOitgMXdgj1bx4lkO8w3s9LDk/HACAkNCTEJFSn5rK3RiY7WeXHuOR47s5X0BRuzphCbUmh3KTRGPTJHdLqerhGaGp2cip0NcdIhiie9jSiQGq2SttrENQddBLR8g23xKU40+tmTmmDZT4Ai0BQfL1S5f2oLpulycnwQXIUbtp1h7IFRQk2g+NDeYHPDpvMsP92FuLZCeF+Oxr5BBn61QO4Tc1S7BQfPrac+rOAOOLTaJkrSJVwxaRYFasqlFdfQawqXN8W48PWN/POnvsZvn9xJ5Y8G6Dns0CyqPPPxr/CS3m1EIl3U+gzq6xI481HsnPQS2tmQoODwtk0HOVXpo+ZYXJMdxxA+TqiRUDqU/Rg+CprwOdPsZa6ZxHc1ovMKSgBuQtJQA12sFruCzDMCO63S7hb0P+ThbeijNmTSKio0dQ0vJqE69SHpywo0JPXUkr5WxQc7pXE5EaVyYIjuh8v4KYvq5hSqL5g9YBLoguIjIfWruiRga9UT62Ql8CAwJKEyurfChuQiCbXDkpfkyNIgEd2l1I6xPT9D0zd5urxm1Yuq8sjJTfzxVc8yVi4QLFnUYwr+v3Qx/eY1lF7Rj7K/QvSYhXnfEebeMEBiAhJPTTL+yW08/fW7uXnHI3zv5H7CiI8Vc/n20etpFqWkx+7xMOMOrcUYakfB7i/z7HPrWN6XYuHVBYzkANbZeca+sItn/9vX+MiaUQAa/xBj5vph9KqKMxlHhNDuCwhRqMZU5ucyWAmHmaUMg9kyigBDCegEOqoIiWguuy3Z6NRoUrISJPUOmhawr/sSh6eGCDyVMNTofShkUstgbKrRaJkslpOkTqv4lqCzv8l7Bo/SZ8zzNXc/kS0V4lH5/fuKQJgBDhp2UqU+Gmffjmf519Hj/M/ZHZgr0ssXWVSws/DWWx/hJz+9nsKROmgKzR4DL++h97TxOjqKJ9CagsymMm6g4K1u3nbmZXHjhNpqBqpKr75CVBG0gpDftzcQy7YRRkCorE6kWxrCl56l3kddPNOgvtElNqmSGFeIz0mIRXlzyMjQInNhHOGqctuVklnMgSnPu1AR2GmFxoiPY8GanmXax9KYZY/EtJyEd/KSiBxZEnQfbuFFNTkMU5HNEvIc8COQHajSE62jiZCEZhMiaAYmAqT3L9TJaUt0qxoXXDht91PMV6m4Ft2pBlPzWXwdvF4XO6Iy/GufzGmo7nUJQ4ExY1DdlKR2Q4dbr3kWQ/G57GcoawZqzCOWa2FEPMKoj8i4OIGKG1NpF0MeDUZ42dXHuRiJE05FiS0GVNYpvPm2h2l8oED8skmzaNBZLdiEJ3B6XcJAWS22BH4sJJVuEdFcLteyNByDpmeiKiGm6eGFKh1h8IrkcU47vbwo6vKV0mb68lX0QgdVC+l0+RhbGniRgPk9fYz896cI1/Txyo89xORXNzDz0Twf/IfHuNjp4vS2FJsyM6z0GYyVCkQKLdoxQbGnwhWbLjM1U6C6KcBJKnRiEPlumstvgKF7GgSXpijfPMCzf/cVfvpWj9pLNjPzFp+WFaO50eHyuSK2KfBRCFI++aOCakYHLUQ1fdZll/BRMBSflm+iKz666jNqzBBVDGLaLA+117O7f5JlL8rW4hyBolBbiiNchcx5j1otif/yMs6KxfjBIbRTFvnjNQQKA2+c5F19j3CXsR07J/CLDmrER7ECPCMEXyFUFGobU2T2LPGlocf43MQBUucapCY8rAsRCBTqwwJPEwzfa6PXHLyoQasvxOtzcA0hadBNgTvoUEg1JYBHDTAf1AgiGkrHw8lHMFbaiGYHYbvono4X0Wn1hXQdUmn1CLS6irWk0BiCaqizbWialefyOF0+8cuChXqK5hs9XFfDKrRJHFJo50xahkpQMlFn5HcQOpL0v2xHWXGi1MII9bkEmbMBdkYh6HGIra1hL0cJEj6P3/ZZHvu7ndz2Z4cIEJyrdFOtRvFLFo4m6O8pU15IorQUEtPSY67XXby4hurKbxgFzLJPJ6viJuWW11qG5jqfxuf76OxxOP+TjbhJqL2oTcuwEMC9d/2QDw+e5ctP7+KWvcd5euNurtp4mXOlLrRYiUN6L8FslB3rLvKzE7LJJBA4QuH0XC/qssGP7a0smT7/8fGT3PeuzUy8SefNr3mE7kidG/vOMbHX5tD6PVz9qRIXV/Lc3HuOTx55BTs3TTBTyqAnHdo1C2vCJD4d0MkppM+1UW2PUFNQ6m1CXcNNGzgpBS8q7838KZ/E/hUmFvIMZMuU21EuTRUwIi6NmSSfO7eDC2/8Ku954BXcUd4MCliGx5OLa/n+unu5LCyeKY3SHg6YbGbwApWOp9NyDNqOTjrZxjXgRcXDPNVJUd6msOJEeai+Dl8vM2yVmHUyfLrnGB/8zqtxCh6jmWV8VHLxFnXfRFNCKpUYG7sXmD/aQ3zGJoyYrH/1JXTFpxPoxFRJePZQqfhRIqrLeLPATCkjLQxGCEZI7JKGFw/xLbCzEoTWKoKzqU0rFseLS1tUfdQndV6wrEYIEj74Kp2cvBOetzo9f95F5wRaJ8RJKjz7rs/z3Xt3U9mWIdDBTcr7qOcpF23FwKz4uElNRqu5AnvVsoGQbIGBtYv0WTIa89zdw3Jw1fYJTEmENxoewfwiwWAv8asrlOwYK4NycC0WDNwoKIbPhuwiwz3LTL1mCI4msHMh/ro2X5y8ksiYSekqQSTSy/2xtfz52kPc+eQ11Dd6qC0FP+2hmR6xfItIzOFn89shGOVrj+zimY99hc+f2cnKD/tp9gjSp1WqG6C0M8pXapvw0j6eKgg8lZUzeTasn2GxEWdrfo7Ljw2gehCZa1EfjjB37Lf/vyi+/zUa1H/57CcHcjsIdAWt5UnvQ1TDiyoIT5CaCBjvjdKoRXjPFY9xvFXkVVuOM9XMkNRtCmaTq64fQxUBH7jvDQx/usnCZzvc+fgf8etdWe65uI3FE92sWzPHaGSBw+VhVjoxOr5G0rDpj1RIa21KTozTC0VqKzF+dtcBnntklNPL/XBPih99bROfVq7nA2//OR/On+KhZh9VL8JIqsR0K81KK8pkNUsk5iAuRMger+NmTIzFBvqrOiy0EnTFmkzWMniBwp90HccOBfdUdnBmuUimu8GlU/2899b7OfXoBg68/zCf2vVTfpLfRKM/5NIvR+l0B1hagey3ngLAODND97sFX3rmRhIXVaxrq6TNDtPLWdS6RhjzCde2MdMdvFhI2OPw9Ng6zJJK6r6z+OUyqbKBf3aMzIPT3PWZHmb+dj8rt/Sz99qzKCKkklNoFEOCUODFQ3p6qpSqcfQZE3IObttg29AkqggkYVPx6AQGUdVmRK/RCQN+sLQNTQ1oezqZeItKK4LdNAkjPu0uGQXTdTQgc9ZFr6vYGdmAEArcpKAaVym3IrR0Db2nTSzRwfVUQgQi4eKlAlxLRjpc1uJMeTlKpTROQsdJKpS2BcRmBMUnPKxKQLvHoj6o4SSllMOPILcgq3Lj9EANS/Wkr1b1Seltnq0PMRgts+QmpbTEN0GBs61ezh4bwsjauAsRtKEmc/cP0XfLJFfvuMBJ8oi6ztxz3XQKkLvfIPebcZIXmvgTl7nYvw1roEni3hjNTR6DvSsUM1UWS0mUqIeo64ikR2AFdNZ5lH/WR2mXzwMHd9P/uyrtooVZDch+82nu+kwPi3+xn9KVKqjgDtmEBYewrRFkXJSWSnagiqPonLrUxw0jY6y1lggQuKGGpviECEzhYYcaj5bW0zyWIzBklEZz2CeyoOCk5SHvJBXpBU3KGJj4TEB0voPx3DSxJY/6ujihJohfVrAzAjsvJ5DCl79nLy6niyKQBbzS0rCWBYnL0rstULDTKr33zqCJCI0+jdoaSdPzYgI3KUFGwWrQuuqEqFc26Y7W2RKZZtzupuFb+KFCLtLkQrVAtWOxLrOEqoQsthJEfpvg2U4f1okI618+xtKZLpJvWOCKKy4xXs4TqhC/pczuvy5z4egQxc8dImy3yTw4zb8Yt/GDE9fQfSSgti7E1wS+EEQvGFJBEQj6h0v0dpcpazonHtxMYMDApw6Su28G89Q0BAG5+2a46zM97Hg24NJrRijGa9Qw6KgK6Q1l6oGB0lGIzQn8ERvfU+nO1lheSjJQKOMFKnagycASEZLWOy/EzHy9dAWaIpukPelLqCKkJiKYCQdrpMFMMkFqXFD8gY05HUVf0DGrASKAlmFQ6hU8Xl/HghZhV88UhWgTL1TxUehN18h211iyDFxN5bjRy0k/xtmJfoSvSAloF6TGYfmrOYyWxsLeKLVhHbsQQMQnlWrR8nQCQ0r21YxDpRF5XjXMjtwkdqATIhsFlYBurUpc8VkIDH6zdAWuL4dj6XgbL1SkrFQHJx/gxAxicyFdh30ZB6PIybXeCWnnFaqWit/ScdMBWncboYerkmVBmHFxoyGBoqC1BS1FpdSMoZV0Sf7MKDhpQXwmJH/CJzbn0eg3aQzIIYwXe77RXX3fEwG5rjq66hNRPZJaZzViJsAJJRSkoNXp0ar0aio/rq/l4NIa/FClGK/RH6tiqxququB7KlrWppqz8HWNzDGV3DOQO9Uh99AU8cspDmX7OFoeoDGXIFpocVXfLE6gYXsanqdQSDdI5FqUQxOtodI2FM6cGMF6JkJqwkF1Q6wKTPx2iMrGKH5EpbZG4KQh1MHN+aCGqA0V4YMfC1EyEogS122qTgRNDYgZMiPU1DySRof+SIWs3uCByla+tbiJhmuys2uKt/U/ztePXM9IT4lLizncuRikXUq39vPHb3qSO++9ka4jbevUs7YAACAASURBVPLfuMiJH45y4rpehIB7L12FYoS8cfgIhxeHcJoGDgqpaIfsYBUR9WkZCuFYHC+ikDyjYt3/LFpPNxE7yg+/uJbxv9nAX7zrlzx2bhN6TcFY2yCI+fiuih53SByWZODmUIAS9Ugm2nTHGhiKT92z5MArVFEErLemyakGP62voU6EiOoRt2xSeoeqE6GNil5sszRgkBgX5O/2SU34rFyh4RuC+oiFm1ApXLXEhU43s26cZHeDbLKFokmvXiLVJlWsU05ohIFK3VCpJzyemR/CzkWpD5ks7ZVAl66jIT2Pd3DSBitbIjT75cY0MEPUhEfgSC+cknVwUdDUQA5MHrdQbJ/A1NGbq82O7SE8nzARIbA0AqHSKsozXQCdrW1CRyX0BR1D4c8OPEZ3V5UTRh5zVsMrWYiqRphxWb5Cx5zTcJIhaktBdQRaWw4+RSCLdj3uUmtZuKGKk1CJTYMb6LRaEbr+AJ6m8WNlI+99230suCkeXViHUEPWFZdYmssQmgHVagw1KjfHyYsyYkZrebQLOm5EYDRDfF3yA+yMHCwZVXkGOAlBs1elYap08iEfvPVe2rrJckzH6m/yhePX85POMD3/5rL8qUWyD0xzqbCNTiHg4YmNuA0Dq7dJXUSoHe56oWnZPjrJih3Fa+mIyxFOiRx3/OxaEnc/S/7+ZZ5IXkvzzdNc+LLF2Of3Uti4zC/W/5ZMZoavjV3LGzYe5UWZ57h/fjO+qzI8sMyyHSV3MsA3V/PH2x5KyyGIRyTcKqLjJFS8OEQWBcu7Qsy0TV+2yvhKjnbHwIw5jORXqGLgBwpfOL4Ls9jilaMniekue3KXWPISxCIrPFjaxLQZZXPPHLPNFIbmU21bcnumhlTbEXxPpWzFmbALHCv1MVtN0Z+soCiCXy9ewR/GRvj82Z24BY9Ctk7CcHhmuZ+WZ2LpHguVBIoaYloezpMpzKqPcAOueO04IQoptc2Cl8JSXGKKzYoXp+ZFcAKN2ct5ef56MsrJTYWEirQp+aaMc9NagtxTCrmTbZKXIXW2TqhGJDVXKOArCF/gZaTd0I8F6DUVNxWAkO9McsKnk1f5d3crsTM6Zj0gedkluiAtD+2CRuqSK++9zOrwNw+BEUrJvwb2sMO1g+O0A4OYanP2V2tQvIBQU0CRKh19qQ6ez8qNRdLrKxw9sg7PCkg+ECf2okXymQaG5vPUubWUiLAhu8hN+49zggKa5rO1OM/cfJbMGcH8rR5v2fEUHzz2CvymQWpNhXbdQtgKxiWTpq7R211hc3aBU3ShX1vm9t7TfO7cDoSrEp+GynUdzO4W8e4mjdkkxb4ynVBdjVwL2do7y+VKjlMLfWiLulQXnVskyMaZOvu7/4sa1H/67Cd7+/Yg/BA/phNqCs1umROp2VIrriZdcukmD57aSqAInrswSH06QaSrzcVajiUnwROTa7l263lmb4hw4C9n2PrKcRBw8sIQhfUloobLltgsP31uB52zKVqzcWZWssxrUW4onOee89txShZ6wiG5Y4XN101wzRVniF1T4fD6bmLdTQ4tr+H7pU10RxtMNHIcnhimVI+TirepNSJ0ViJYCypqqGFUHFAEC/t0euINHF+jO1ZnU3qB16WWiYuQ/2/8OtL5Bsdn+3AsONks0owrTBwZ4kfn99L2dIQR4PkaWluh1aNgpItMfKCP8osGePmmY1z41XoWr/e4dd1pPtP7MF85u4fB3wQ4UQMv5/OiNee4UCoQLFrEL6q0Bny0RJHL7y3SeXVA+GdJ/NZ65l87JAlvqmBqPs/GNTOcPzWIlW3jlyy0Qpv6WAaR9PA8DRH1Ecsmm9dOoSBz0J5vUru0GiN6m+NOnG+f30fH03F9lYZt4jgSgCIQhL7cNjX6Be28TqAKzGpIasJHs2VGZtsxcVs6asrhPVc+SibWYWylC0UNicZstvTNEcl1KLXiGGMWS7UEVklmxAGobSkxbRc0nJRCfUCh3RvgR0O8ZIBRVvBSAWpLZuDVEwLdCEibbWKqy3PVHralp5nupBFCcK7WTYDglvQpvnt5DyQ9XFelOFCmUosS3VhjuR7nQqmAWDaJj1RpCQ21qdDqEZSuzdJck8a+oh9vfx3jl2mq6wW5wyqfec13iJoeT82uQVmShL3AU3n//gc5vDBM0DQwKgqx2ZDSNovmiE9lA5ReU6S2Z4j+Tz+Fv7af5rAvL+WnojK3MlAJdWiXIiw/24UY6OCqGuvji0QUZ7X4DwlRCFAo+QnuG9+KMSObBzcdEplX8S2Zn6jXBF5M+qC8qARL2BmFTt6gvTZLdUMcOx+SHJeRQqoD9lobfUnDqMrpYmCwKoEJsZYFsbmQVlHgpi3sjEZ1rYpvCrxsnHZBJT7vIzxBY0hCeiJLIbEFmU9mlSSRcTmMIXIe3VadiOry1OIIg4kyc80U61JLZCNtcmaTA+kxHplbj1+yCDUgFCzMZkmfB+9ogs5PU/Tct0S1P497PMnJ6QEQgoW3dFO+cZDyWwq8+obDTD3cT6NfXmQ/ffGXuP+7B+j+90PkpnSypzxm9G5mieHbGl1PS1+ku7mf0qeSmG+PMn7DOrzhYSLRAkvfTTGzP4KiwvJMhuRzOtrRCHZGEMR9YpMKYtnEswR9vSuUOjHSsTYRzeF5yF+PVaPPLLPDqvNkJ+Cbk9dICZ7RAQHHKgNMVdOYmk/LNrBybao9guVtJq6l48UEkRUJdqqvCTnb6GK6kaYnVefu0d+xP36G7y1sx/FVumN13tP/MFu65jjh91A51M0ZJYsoGTK3OQMo4KSgut7CsxRZGGxtYaRthBrQXIyjJxzEioHiCDoRga776JqP7ehclZ9BEQHaahOniYC1xjLNUPCb+pU8cWkU25Ugl8pKHLejI5pyQCO39NDqhVa3CijSI92R8CMnqRBWDfAVUsNVtvTM4wqVZtsEAelMiw39CwQZD3s6jrWgEnoqqi3vJTlNl1LIZo9KfUgjVAVuSno0Q00qM1BlZqXwBc2oIGY5JHUbTQmkxBcFQ/iktTZZrcleq4oldP5hcj+VdoS6bVJ3TE5f7Ke+HMM4FyE2rtGKqiiezL52Ywq1YQXf0nF60yxfpYMQaEsawhPctP05nEDjzGQv3lyUsKnT1gS9qRrJVJvaTJLUcQ0vAU4a7KRGs1el3SULNMWF8iaZexyu/m7NZVVu8YR8Pq0pcCxBLldHU6T0LhdpUulEieou61NLdAKd93c9xKHWKA/ObmQgUWG5E0fTAn5yeQeOq1E6l2fdF2rU18QwFjRCFM6cHGb7TedoPJFj6eZelt6l0ihHCZ9L4GgKH9z2AHdN7oWf5xi4r411IcJUrUCrEHD46p/w1bkt6Oct4jMBiwd8WlcN43VlWNyh4aVidD3j8GB5K9uvGWOqkkUbi6DPGgS+Sn6oQsWOoXbkUMzI2HRsnb5UbXWIuTrMVDyGrBJXmoskFYMPjd3EVCWNqofois9sKwUILNNFVULaro69zqW0PkKzx8QsC+IzAakJFy+iMtVjMlnJEgYK37n629yYO8uE381cPUlfpsbLek/zsqETHAoGEGMxjpb7UWyF6JyUDaotBbMiaBcEjQGD6qigNRjgZTwixSZexSKSaeM2DNS2wEPFTNpy26156L8zQJUqGRGEiCAARRCkY7hpk5UNOl5MDl4CDdxsIAFsGQ/hKnSqFn9YHmJspUA82aZ/8yI7t47jFAJUNaQ5m8Bf00FbNFBc6Y1MzAQy33oJAk2lo6qEdR016+CnfJpFGLhinkx3/X9R96Zhdl7lme691jfted41D5JKsyxZFvJssDEYAgYTCAQIhEDwIZALDqTpdLrpnADJCSGQjgkQpoQ5EDCTwWa0McbGlmXJsmZLqlLNc9WuPe/9zd/5sQqR7h8n+XF+9NnXpUulrZKqdu3vW+td7/s8z019V0hua52NeooHLxxAyypighfozE+XIeuhGyr0MXQ09JqG2ZZodkCkS4K4hvQVn1KFqim7kNEQDD7SpLHDUiqKHW2CrgESzn9vL5OpFMee+1k+dvYW8AXNVpzKc3XC/i28+stnGbtqgRMLI2hGxM7RZZAweXpIrRttiZ9U8vvDfXNE2YD0N2M0k3H+9k1f5hs3vBDenODel36Kc6/fw9r8QXa87jK3lid45ydey0+jMW4Ynea+48/hocouDowusjZZpFZPqXoq1NFtEEJgVmyipIXsOCAlQdJQLGVTXWft3T6xhIsQUKmnyKW7pCyX3kST1XaaO/ecpZ3QqdaSTLaKVJwER6bGiMU9tqU3mO6UyGY6/HbPSWbdEuudJFJGhAgOFhfIJbpMLfUwvtjHVQMLDCQbnJ0coavr+FJjvFLmxTueJZm1GSzW2JLeYLJZ4kBhkacmtvK6ncc5OjVGIu3gRxr1TorUYoj0Qna/cpq4dGmFMQqbuC47Mlj2sizZWRpejOp0DhFucrAlpKck6XmVfxHEITOp3nPFvzYILMnacxIYLdA3k8kjTfFS3XxElAgRgYRAYLQkoQFooLcl8fWQTswiMCVeStIa1KmPCYrnfeyShpeQWE2VIqxvpmmn5tXeZNYFwtGxyxGDiToFvc2pR3Yr1U1MQ4RgrndAN4gGSyy9WGO+kseoaoRtk85VDkKPrrBko4qFnnUZn+0nlXMoJjvc1jfB0ZVRnBQEHRMxbPPM+THSpTbGiQThNgffgoEfSZJLIbKjc+jGCf5L34MMjK7z5HcP8d18H/39VVYrOZp7PcZG1li7VKLY18BIu6xdLLF7xyLDhSqhCWdmh3jF7tPYmkGlnsbJSVIVA6Rk5vJD/6ED6v82HlS9YW9iB1xCY9P7k41oD4WICMbK6zQ6MYgEo70VDh24TN9Vqwwna1xdWsDQAmKWR9VJsDhb5OdLu3iqvoX7zl+tApdcgw8NPcCnpm7l1l3jGC21oRp9HW7un+KfJ29GzMdBU56bxekSp9cHeGDuKp5ZH+TgyBx/te/7vGLrGfbmV5hqF5mvZ0mkHMKuTj6mBP2xgk1zZ0B9q64W9iBiW36DmOYxkKxTdRLUPeVDPesJEoZHynSIQkki38WdyEAoiKQKCRKxQIWFFH3FL8yEWBUXa11DlB2+fO8dpOd9CAVvzj/B7ad+n6GfSpCQmosYKNVYdVLsHFhRfKyVEKMh0bsR5ppOZyZD47FeMkem6Q74fPGdH8Oqqe7OIxM7iLSI4XwNa6iFbxsEaeUrilI+2VQXP+uTuGJ84MrHg3oNiaQSpIjHPFxXhUW1Kwl8R0dsmFhTFsL/DUIh0pTHMZJg5zUaI7qSUcxqmBWNoVINgIlmGTkTJ3Eijj2exdQC+hMNIhGRWIpILCgZS7co8ZJqcTJrEZqrOJ7S38QX2YLYko7REkTWZvZ4BG7XIK57qgvXzfAHQ0+waOcYitUYjVWQRNyUv0wlSPGeHT/HsQ2ctsncbInM0Ti1uRzm0TRew0TrCFpTWXKnDKwNVdz1HVVBUfXn2XiTCjE0/JDDgXee5q3/9C6GzQrZfJv8ecHYf36S++/8GJ89/1x8R6N0zsdoq2IxtMCsaBg1jT1/12D0+nnqPxyjcihQG2soaIyFmE2I7aiTWJDobUFnzGWsZx1DBpT1Bl6kY4oATYRoIqRPq9MJTUzTV4W2BOkoD2lgqRRPdSJSC25oKElUYIHZVOmnCIivqMCGSIPG7oDE+RhOMcRsRRhNhSowh9oE6QCrHmE2AozNEMzQgPh6hNFSSb92UR0CECpJ+NdT2FBTXE5Q03C9JYlpHiteFkMEHCgtcm69Dz+UTDaLTNRK3JQe50hjjJ2lVVrbfSIJ3oE2uUsQvbrC6otcRj46zrMfKFO+aQnnuU323jaBvLrO8P2S+LIk9CRP/6dD9N0/hebAPa/5Iu+fezkjvz9B4/U3QLNNe3uGc+/6FHvGFolPG6Qv1nEzgvi6R88n4ywcGyB/3KDvsTrmXyxz4U9T6EcyrDZSJGZ0YhsRIoIgExCbN6jthOZ2H9Fjs9xOo+kBKeM3se1J3aEbmOy2Fq88N5Zdp70ZnvSd8YNMVQu05jOsnOmltp6i2YoTtgz0qo5dDjbZwoLWoDqYxE7HceeSbM+scdq1+XpjHwvne/F+UeLUEzs41R3hpsRlCsmO8otfThCaKjVaTZFVQIpTCuj0Rzj5iMCXOKsJwoUE5oZGMuEQbSoYIqAn00KICF0PFLaDCClC0tImLbtkZUBWBiQ0h0TSQQCuYxAFAtHS0LqS5IyOsaEh/E0cR0f5ngNTSfq6RYXuia2r5kkh2SFr2Kws5ohdjJG8YNFoxJmsFtBkiNlQvufEgnpddkHJ3FUwmGI8ay44ebWGGG2hfEnRJuZHjzBaAqdtEkYCQwakNZuKl6TlW3iRxoafZNiokBAqkKY33iSKBOVUm2o1hTBCRMpHXlejsT2EjIcY7hDf1sDNRFg1gYgUwie+HpGaFgq14wqSmsNthYvsHl0iMyFJTUm29VQoxVoYUiXAG52I+LIge1F5o6yaWk9bwyod3mhu4oW6gti6wp2YNbWe+nF1nxOBE+jYvoEmQ07ODrMwX2C5meb46jCv7jlOuJlR8JrRE/xqcoxre2d5+sJWetItXnfgOONv/DR3fvsI2tV13v+Wr/GqFx1h1/Mvc/TcGMvXWdT3BJT/Jc7QD1XxZhRsPjV1K9/f+zXuf/9H0aaWkX7ET9/xEX516Ku8d+kQNwzOkFgJ8ZKCPe+bVExDOyIzBbVdYBcNFa4VqRCVwsUAoxGRmhOsrGUJyy6N7SGhFWLXYni1GEEksKR/5XddBoyaawzpKnQuabgkLMXxvbxRwvZ15tdzVI72UTtVwox7BA2TSItwcyFBXDU8qjtN2kOCcCKFv5DA9zTKmsux7jaOPDtG4okU008P8VhlOwN6lcF8HasmSI0biAhaw4JujyCwNq/Fxm/YuZGIwJN0l1LodUkQSCJTSRe1tiRuqsTlIJQEMRW+JoJNl2QIYcIEP6TVb2A2IsWEdDZ92FaInwlIF9qIjEt2uI5cN0ilbAqJLpeXy4w3yvTGm6xeLiLLNoVcC31Hk8wUtLaEVHdJmttQie8H6mhtid6W5DMdMpkuRtphbi0PgGX46DJk3+AS6X7VFPECjU7LItHTRjd9dCMglnQp99dpjwR4SUmkqwTfUAe7KCFUPvFoc1LlFCJWrk8jb6oyesssXsdE6CHSCBh47TS9PzZ519yLedOhJ4ktGpSeMJBGiObAJ048ny89dTOHt81gnY2TMW3+7533IX3Blk+cY9tnL6PnXN6/636e+s4BHtr7PdysjvQFf37uFci5GHcOneN/rLyQh4/sp/7HDZ6bn+B9pYt0b2wRhQJdhLzi2hN8+YYvULTahImQSIswNpSdIohtrjkJc3OCGiOK6XR6DbwkRHpEc0SSyNgEoWRmLU9foYHnayxe7OH47Agv3HKRH5w9QLUTZ2xwjWyyi+MZ7Bxe4TXDJ/jW/CEGEnUSussb0hVOzwzSOF5mbTVDpZ1gollmd3KF4cEKqUsGT6xuxQ11XnjgPCOZKivdNDHD57GFMV5QusBoYoO45pE0HDK6zc6RFfJ6Gz2uchVcX9vMw5BEUpDWujSDOEW9RTu0aIcW826Bhh+jZLWVoiGjfi6hrnCGnYGI9UMR8VW1jje3csWH6ydUGm9mOkRzI9yUYrcbTYivqYwD4Ui0liSxLPATEYWzYO2q48cVlig78eu9JsJsRmQmob7FIFZRiiS9GyIDtU+IQO13v0721RwYn+u9Uj/rdoDW9dA7PtIJiAwNYTuEpk6i0FGJwnW13t+yY4LuxRwR8LwtlwnjIa1WDCPhcaHaw9HzY3RCkwPlJfz1GN0BVcMjoDGe58a3nOAv9v6Qtx14jE5Zo1vUaI3Aj44cZMxIsdtaxClEXJ4vM71RwB10SeS7dD0D0eMwll3nXdsfxhxq03ItOr5J3PAwpy3imsehwhxD1y8QX41wC+b/D1N8I3CLCfSmQ2jpSH+zeyEhtiqRruDcpSEG83WSPW28QGOqVmAkXeXZai9Hv3oNl45sYWt+g9Mzg6TKbW7rG+epiS2M9G2Q6W/iPZPnpcf/iOX1LPPtHHYp5OQ7P8HF536FX8ztoP14mR2fWwYzRAh4ww1HMHUfx9cIQsnT41u4Z/oOHl/bxsm1AU48M8af7/0R2biNVtNJ6C7D5Sp7epfp2VpBumrBE12XuhvDDXUu10s4vs7e1CKd0KUoHWbHe4lpPomnEvi+RmhE7BxbYssts7jFAD3mMfJRSEwbquBYlxgbHcSeFsNf1UksRazv14nPGrzu5Fv5nZGTPPbJzxKfacLvrvPo/u/xh32/4tmJQXZ+ZJLQEPQeC2hsUdVg6WlBdzBg/vVjmFWN1zzwLgILtn+jQ1Q1kQWXy8dHcF0dzQwQCZ9cpoPoaqQtB+HKK8mvQSTphCYJ6ZCWHpoQDOpVvE2ciePpyLZGLOlS2L6Bt7NLZEQk5jT0lthkVanDR3tAEMRUJzW+Fm1KeyTH61t4cfk8wld81dSuKsPxqor5X9RJLXqkFkNy4yFWTS0Uuq1QFF5aXOFgpeYE8RWBm1Mbi75uEBpKmpDKdolpHh3fJG92+dnGVexLLTDZKTHZLaHJECc00Aj5xOXnk0l3SJ+xKPXXqV3toTUl7vVNBkYr9F63zPCDwaakFXIXoNWn0Trcpf87JvEVQW2HpLIvxrl79hO7aZ1/mH4BUoasHw74i8kTPNzezVh5nb3/bR6A4lmH4mmIrUFmUrHxpl5dYulnw7Qe7UFrS/Z8ZJH4mTjpScW61B/K4eQjou1t3nD4KFtSG0qeFsSJSZeKn0IjIic7BAjm7AKuY2BVNwHXlpp4ys2DoZdWHozC+UB1IpMKO+JbgtaQRO+ohkAkBJmZENkVVzZOLwmt7R57r5vCXouTedYg97Ti9Op2pFAtHhCqA2+oC/S2CrmKNMhNBAqSHRNYNZ/4mmpyuBmBWwiIaR4NP4YTGkw2iwxn6kSognFPYYWT7VFmWgVOTg1TPK5ROhkhpEpurZ0tIqomv3h6H1FXI/0HHfLfTtL4i2E4nqWyV6e9y6XwK5OFW2NMvXUbAw9X+fgbf5fWf+rn5PQwy88P+NEzP+PRT32OA0+9ntWvjTL8108Qnr1AvBIx9Uqd6rtbGC3lX2yNpVj76iiiZtDaFtD/aYtXvvYxbnn3UbITHawlHXvIw2gJRDwgdDWaXYswkPiRJIwkbqjR9GJk9C7DWgsAjYjZZgEhIsbrZeyGxY7iGu+47SFecOtJSr0NrFMJZEcSWhHJWZW+W90pcbOq0RNbjyifUCEwOenztuwlwpyHiGD/jRO8K3+ORT/LzKU+Che65J+NKJxW0/D0tCoMnBwYNYlVEZgNQfZoDL0hiXod9LagtpImsiKCZEg+08HSfGxXsYhjV3BVGl6kE5MeIVAPNep+AimUrDloGmg1HZF3Mbc36Oy18QoByQVJfEV1u7UuIMHJqfUqth5hbUQklgRrrSRShLz52iewe0JiGxHlYpNCostaLYW1EZFc8UkuByRWI1KLIVZVNUacgsDNqH3MqinvmnSULD62vnkto/yoVtIlobtXXlPe6JDSnSsM6TCSyM3o1G5gkI45NB0LagZy3SSd6aLLEMoO5oxF/Kkk0dGcarIJdc/4cdXg9ROQngsY/KXDt48d5psLh3lJzzlqB3w613fYn1tkpZNh/V9H6Dnhk562Mdoqnddsqj1YBupg7uYUoiG+qgr7Tl+En0A1lASb60MEZqhSXAEv1Ogr1tkzpvjDW7IbnO6MkJYBL0ud43xrgHjC4cdn94EeUrdjfOOxG9n647v5u1/9Fs54hv9+3+/xwL03cWZuAGGGGG2QOZeF50s2dmmkZyMyDyVZPdXL9Y+/ndu+8qdMvHc7v/jCPzHpp3igU+bM/3mAy3+5h8BQzYWZz/bRHgxZfm5EasEjNSdYepFPuLXLickRxGib3X929kr4lRARQguv8BOFLUFGWDIgRNANFN7CDXV2GOtXypq2Z6JrAboMabZjVGopnj82zpbnzmDsahBdSmHUNLBUVoTeUWgkL6UaBJnLUDgjiLoaG4HBe/LT3HPrN7BqEWK4w99v/TaDeoOZtTyx9Yj0XEjuWcheDjFrStXiJ6C5LSQ0FLc4NaUTW9Kv8Fm9WZWc6CdD/LJL2nJwPMWd1LoeoaEhvJBQl0jbRXZc0AS5Sx1CU2DV1EEgsauGsa6j1zWaS2moWLhHC0Q66FrAUjXDnsFl3FDjyZM7SQ03GO3ZoNaM402k6fQJwniIUwhJ7KwhDtXxxjMYdUn5RMRguk5vusnh4TkODs/TdCy259ZZbyWpuzEsXWF+Wksp7j74OMHZLPGY8mU7XQPb05GOVPgVP0T4KuzMqoYY3YhQUwcGNxOidwU9Jzo4p/JMPzlM6oKJEfMZ7q0yW8uxdhg2nCTfuvdW7FGXwT+YJArVPXvktk8iOhpnlgZwcxHLfzfGC+IB+X3rfO3Mjwl7C5y99Z+4M2HT2ulx4B/fyfrVAjcfsi2/gdzW4kuP38Kp9UH6d69Sn8zzwPJ+dn7pHWQeShIbj3FqfYDJVok3/vyPKFkt9Iaq5fwtNmZdva/xNRfhKIat8AJk1yOw1L0rfJXfEDc9TC3YrN0E+8rLXHf4Etl0lwcefw6JtMNzhyaZq+Ro2Ra9mSYt1+LLEzew0U5wdHmEGwuT3NvK8nsHjnHV7Zew5kyeNzjJmwae4DszV3NjzxR2T0TC8FjsZPnl5HaW2hnWW0mu7Z3l9qFL/MOp23l8ZRs/urSPuhvndH2QicUyxxpbyWfb3Dw4xbZ8BUKBWXUI4/qVvcAOTZLSoai36AQmfqgRRJvJ4rbAqEt1kPM3711P0OkTNHb5xNZUPeilhboePNVY7fT+5lg0cO8EnV5JfNLkQ3fcq0gBcwFGS1DfLuhOZvBSAqsWKBZ6JSK+EWK0I+LVS5FzsgAAIABJREFUgPSij5sRJFYDukX1PnlJda3FN0KEL7BqCm+Uzbcp6C0VUCYFXsbCzZloHVexUKt1vIxBZyMBviQwVTjTocwsoRnRqiV4fG4rhcEa7z98P0JGLM8UefVzjnO5VeKRM7vpGasgCy6lTJsdexbYdc8cAO8/+3L+tHAZoxWR//IR9B1Ndl41z0nH4YOTd+HlQqQesbO0yuhgBcvwOVBcpLdYp+2b3Ld6Da/b+TSGFnBpqYeby5O4xZCJdpmpdpHpswNYdVUP+nHtP3w0/N9G4rvV2AeaRASK+9Ma0gjiqhsUmhGy6NLoxtjfv8SFc8OYT6W47BToahKxvQt5j/XjvfTurCAEjKarXKr24AQ6QSDxOiZ+zVSevpyHnwhZi8NfTd9I5m9S2AWDxRcn0fMO7zv4Ezqhxen1Qbbmq9iBTjrdZW6xSCnXIml4PGdsms89+gK6M2lSu6u0PGXwn14v0prJ0nfUw6g5BJkY8Rc1sAOD3kSTphvjHf2PUNRCLvsxvjt3iGZk0orpyFgAdZPGVJbGdI5IgMx6tG8N6WIQmgI/BZ2BJMGgS2XYYOSBFl7aov+xBpmHI86e3M0bXvok3/j61SzfEOO7rS0cu9ageP8i0tDRYxkWbzbQHEF8Tf38i+dCdr7tAsG9BdrXunh9PusHDLSOhjlr4g55JNM29kYcoYf4kSTQIJvq0prLcM32KQzpEyKxpEdKOlwXq+MTctTu54nKGHYjht8x0NoanmvgLCeURzaQ+GkI4xFWRfkLI01NO7x0hFWF5GpA4XiF+Hds6s8M88jYIFqPg7vVo5jqcO5be5EfhfyTq+hORBi3aPdrODlVHGZmfTRHdcj8JNi9Id1BH99S4RC6rZ4PY8ojGR9oU060EUTUvThDiRqn64NkNrt7lxsl7iyf4Vl7kC3pDZ6e34KdhW4lgUx5aCWHgS/GmN9qUV9N09imJMbSFTR2hQw85hE+r0Pxk4ss/naO1IwksRZgNUKspyzsi1m61SSpAxvc1XuKv/zk75O6xyVcXkU/N0uwY5CFO0OMmvIz+ElIz0XEqmoBCGKg/VGXirQYfNinsk9HRAoPE9o6z3ZKLHYVu+45mRlW/CxZrYMlfEpam8Ugz2W7hwvz/eAqb1B8WclikILMlDpE6l1U6EJSkJ/wcXKbQUpJgW6jpqjVgMSSTf68D1Kl3mkdiT/ssjpVYvu9LvlH53C292yGBWjYRTWZ0l0wupHyQ9mb3FwTmqMSqwFWPcIuaUhPSWaMZkRnzKe/WGc0vkGvUWfaLqsGUaC4esVYh+ekZzjVGMawAprNFIEliBombj7CL3ns/uA0lp+neDJg47oS7UFJt6jTc8LBbAmaewLcmI5b8jGaGrlLDpy6BKsbRNlhjKbGO24+xt9WdrB+a53EiXn00WFkJsPk3QluP/gsz44Pk5kQ+HGFd7A2UJ19BJXrQ+qfHqHxccH6jUXsopKT6m1JkA+Ip22EAGclwWD/hjqkoQ6Ru5LLvChpA/DLbplFP896N8VqPU3gS5Y2chyb3sZalMDUA+yegDAeEnU19I5UgVX5iHDIxlg1yI97ZJ+aZ/1THvcdfSkfG9nPvsElYjta7M8u8p+/+Luce61D+Rcb6F0P0incrApPIBKklkJi1YjAlArjtKNLfF+drikRqxaao7ztxAOEK0kXO9i+oQqNQHKoPIcuQkwREJMeo2aFsnTxgV82d3K5WsJpWBAKpCMx1nS8jkmIAD3CyUX4MZUya7TVtenHwU9CvAKJNZ/CySrZB2xWnx5l4bCJE4N6UcNDIh4oMPhdh/SpZTRPECZNumWJm1P83+ykB6iP3YzA7lEoARFt+vICdc3+uluul2360k2sf+NBbQfWlSbfHakJ8ppKOfznlb10fIPVxRyyqyEisJ5J4K3GkTWV2O4UlB88N47iWPYKgoT6erGNiOJTa4gTFyjeP4+4vJUfD25jZLjCSL7KkfmtFP4kJPbgGczZCu6OPlrD+iZnTx3m4hubNglHSbbtHpUAnJ6WaP6vpzVq8qR3BEHZo5BVkrtqN4Hj6SxVcgShJBV3+b2eJzGFzwWvTIcYx8bHMJcMrBWduq681n2PSXqP+IS6jlOA9Axs+dQcbqGMUwBPV5Pp0mkoHlki9vBZikfrSAbJXg75+X+7h7g0ePnH/pjx32uhdz0MT2LaktXfdbGOpMlfjHCTGtKTpJYCmv0aYsMgEpKwZRB8oUR81WftkEYoIQoFUSLAzLhQsRCBYHRojZjmESGJaT49ZpMXJBeJS4P1oM13Nq5SNcFqkcDRCF2NyfUSeiwgaXm42RAvERE5GkZD2zwgCeyBgFAKstMhhaMrlH+4xIM/ex4f2X4Vbx18gm/m9rK/f4kfVA7w0//jFopfWyBxbgWRyxHEJc1RSaRDajEkPRfgpRTOydniom3r4OVCwkAgfKWSED0OtAwiIyKecnF9HU0LMX8VQ2+7hHEDreOq6WkkEG5AY3caEUB1X4SIBMW+BjU3ptRfumrceD1K2WVHOpl0l+V6hr5MkzoGt45cRpchuaTNwV3T6KNdqr5FaEb4gUY0lcKPR9zy/LPsuW2SXqvJq3uOsx5kOLfRT6MT53DPLLOtPB3XpGObqimJzvGprYQlj939q3QDHST4voa2YFE67Sjpe8vFzZvIIMLJSWLVkPVrI8yaUumUHl4g9e4m1aUMmi0Iej3cSKPbVfdqOtdFG+rSnU2jfzNLe3/A6C0LfH7hWl579VMsfGYnnX5B9eqQj88exIp5vHvwEh9qPI+PN6/mk7+6kV2f2WDjYBJv2CXR02HleB+5J026e12K6Q5z80X27p1jfKmXO294hlPdAYJkhKNLVutpIldyqanwQblyi3jcJX4khuZCu98gvu4BQgVPxQzaQyZuHnRbqROjkprulzNtDC1U+6PV4UB+gVS5Q9O38NFoeSb5hE1M97lr4DS/HN+N1ENaq2nmRJaz7SG+tOUx7sie5dPTN7BuWPiGyZmLo5xbGISiS2+2yUIjy+/tPM7FRi+GHrDUztKfbNARJrf1jZNLdzG1QHHmhcQyfMay65yqDLLSzCAvJMldsIksjdt++wSVIE1W65CVXWpBghUvixPpZHSbM+v9dBtxdFspv6xGhFlXyha1Vkn8pJLCm40Iq6FsH5EG9X0BpdOqkWmKBLnzLXI/meDeAzeDo+Hk1TWSvRwx+EibWBWsqhquma2Q1oCO5qqpKkIQq4d0elUugvTZTLMFqxkiAmU1CRKwZ/8s16RmWQvSjP90C6ElMdo+WstFLFcItw/R6Y+Rel4FnsnQGfV5xfOf4on1MSrVNOmeFu3VFN2OxYWwF0MPedme0zw4t5u59QLCDGlWkrzsqtMESLalK6y/NMnJB/ew5S9mSL5pjftSO2nv2cb5V32eN5bGuf2pN2P7OmwqOeeWSoyUN3jz6BF+tLSP55TmmGvn2bATPDm7jUzSJkTQl2oSpCPcQGcoWWdqvB+9I0jNOcQvrTJRf/L/G4mvEOILQohVIcTZf/NcQQjxoBBifPP3/ObzQgjxcSHEhBDitBDi0L/3///6EaQtZeQ2tCudHqSa1gCUciok4NiZMUZ3L3Pbm58iSgV4XQN7Ko1+NE3puhUOl2dValSnQCzuEpzOEkUCBrtkdlYxtzbZuFTgqv4ljlVGmbnQx/qBBPX9HoUdGyTjLh/81V38bGkPNw9MMZCoE4SSlY0MhVKTm0qTXLo0wMMPHyQ52CS1b4ObB6bwfE11tgFRdqiNGYQxnSCm44eS3niTxVaWlVqaq0zBnB9yjemTLrXVvwkFXteAAZvUPNh9vgprOJYi9sMMY9922fatGtKF4IYGiZiL1pW0t6Yo/vMRWltSyHqb+KrDWTfi8vtMbhqdwviAksPIg3uJRvrR6w4jD9l0exS7yS4L7KzGMw/sZe634O79jxNumOz8nEPpGSWztFIOnZkMIu4TdXSceoyoqzE9X2KTaEHdT1D343QCC02EGGgkhElZa+C6OjgSNuW8yRmN5LwkcSqOuaJjViTxBY3koupkEqmOvLWhJAxWzYNKFX9+AePpceSTWcrpFtcOzdCwLQYfXCe4dBl/aRmkit4HMNoRXlrgJVSAktFW7DnpCowNnfSUJDuBkvj4aiIoIjC0ED+U2IGBKRV/8cbCJJbms2DnuKa4QDOMsSu2xJqbAhERmzcwyl3Cjs7wZ3Ru/vCT7P5wk8Scjt6RDD3sMvKTBgTQHDZptWNs/3GN3DlJ/pJD9lyV2HwTzQkxG8qj0p9u8vYzb1QokuU15OgQ9suuo9VvMPJ9Se/xLm4Whh9s0e4X2HlJcyzEy0Ro/1gi/4zO0o0WmgPdvojICunZVmF3/ypvGDuOF2jEpEtSOkzYfUhCrE0WahhJhKm6ySrwBayNCKMBTl6QGw/QuxGJ1ZDMdECoqwm15irEBhHENkI0OyIyJJEpiVUDUlMarR0eoa1jNAXm7Dphb4FN+gVGV/mZQkPQ6VEbhm6r9Ea7IIivh2Smok2Jr8DJqoClUNuE1geCvthvUB0J3SUIJR3XwJAh12cmOd7cSm+8iSZD3FyInwCuaiJd2P7lgIl/6CN1uUFr0CQz6zH44Sfo+4cnSL9/npXrJDuGVik9E7H3A3MM/9UTzLw8x/I7DrP2B4dIL/j0nOjyZysH+ezDL1D39jX7WLljiNU7hik9bnDpI/vof0SSf908fjIiSIXYZYG/r4XmwJ6/qRAagrXnD1G5wcPr9SBUExFzxqKznsB1NbIjdeXNDDU2nARVN/4/YUr2WwuEkWC9kSQMJEbcw5w3iS0aOKfyrI6XcGZTxE8m6Dmq7s1QB7/okzgVJ9QgPt8ksm3CTgf5y2eI35dlR3qN94w8xJbYOiM/WIcoIux08JdX0DsBdlFgVVR3+tdQcemDnwoJaiYbaxnMiTjpKYWW0ToSaYRIVxA31Lix2zVJxly8SHVb60GCZhgjjCQxIUmLiEFLBTvgSmRXdcqNpiA1LUlO68SnDVJTOulpSXIhQu+qBM9oc29xMyq9U9RbBIvLWKemGD87xECmQam3gbiYpHysDmfGCas1ZLNNqKumwq/XPTejIX2l0kCqjra1IZQceFl9ktbd/DoqTHvzPdMJEXRCxUQNkBgyIIh+sycOJup0HBMz7SJ9QXJe0u2NFBu4rST0g4+E9DytOJpeQlyR5HupiOK5Lu5AFn2gD5lOo50cZ+B7Jh3PoObE0Y+loaGm7VEQEp9r0Hu0TWYmoD2kJqnNYW1TCaG+/+xFQWZCoHkR0lVTVM0FrbOJWXA0ZR2It4gbHknLRTd8Cpk2L+o5z5qfwYskF51+Fu0cRtph/63jJG5ax1zViYyI5ZsjJl9p0ukXbH3AJjPjsviZHJ3+iGB3CxEIBh6F3COTrNw+gHPntUS7RsmdrRF74Cn+pbGHbzTz5CZ95IHdCMuiuSvP9MtibPv7kNJph+Xf8shdu0r2TfO0ezWyl9R036hKhn4esfBcndmXGOy9bgrZ1TBXVCHiLyYIcj7D+5YBaPoxKptps53QJK8lVL2iJel6BmuN1OaFIhEdjdR5i9qxHpbP9GLPphHLFslJQ/Eau+BlQ+ILGpEeYbRDqLcIKhtET58jdl+O79UP8ddX3cfO1CqTj40SHT9LUNkgaDQQkZJuikjVTYGhOLfaZrMQV9JdTxCtWeSf0ZHOpiLGUz5itE1FgKfTdkwiU+IW4mhthyBlgRSIIABtc1ofoQ61I00Wl/NYeZv+Patghsiig4wF6C3JVaOLXNs3SxhIVlppnI04jy9s5dn1Xj4w8gMOJOe4o/QsPbkWUUeHhTjCh/RonRfmz/PK7NOUjBbfXT+MF2m0bItypsWx9VFeOnKeW4cmKGbarM3nYNmiPFjjlp0TDCTqlJNtejItAl9TDO+igdb18dOmYksKlXkhQiVxVosgNK4bZv7RYaKRLnZPiL8aZ1dpldipBO9+7s+YPT6I/GIZoyWZewkE6xYfHP0+HdfgC4/eipcQxHfXeP9zvw81g42FHD/rGJz/409x8/bLbL2/y+xdZbSr6qRyHdr1GMVzEUc//Gk+ct13mL3YS2zOxPsvJX5n7zN8qPcJknOS0Ay5ZmSOqG5y29UXME8myedbDGbr9KebhDoY7RC9G6G1HLRaC8IQ2XFxcsoHbxcjimcjHEenY1vUOnGml4tcvDTIUjfDQ4u7mG/l2FdcpuVaJEyPIBL0xJt8/NgL+OPrfoHn6mT6mqxMlJjfyPG4HZLXEuzeP4cXaPzs0YPEltXnmJbPXb2naHctvj19kPVqmkYnxurlIjUvTimupoYFo03DjXFhoY9XbTnFVLXIgFWn2Y2xv2eJwIoQXoBe6bLgFYgJl5jwuOT2KX6okyGj26y7KQ6WFzGaap32k+DkVHZFbkJhKTPTIeVTPslFxYr/tSWl0y8Y+IVU654N1Z0xgpSFzKQZ+aamGNfpEK2rWMSqbonQ5tdIzndobNHxMuBmlQUkNd2mm9ewC4oy4KXUXlB+po2XkKTmlcUovhrhh5KY9PBCpSL1kpJuycTLx8FzCXWlAKi1EtilCBEL6IabfOK0x2i+yui2VfbvnMOQIZpUyKB6NckdOy4Qrca457Z/5ceX9nFn+Qy1Tauhmw8Jtg/yj3e/Rsmp93YAeN/KAZIxlxsHpnEaFv2fsDASLlMbBTb8FPfs+ib3n7yaywtl7hw8h9RCphZLvG7b0xxZ3spdfaexfYODqVn0jnr9bs6E6N9scv/O4z8i8f0S8Fv/y3P/Ffh5FEU7gJ9v/hngJcCOzV9vAz79H/ouogjZ9VRiFUqrrTlqYw/yHkFGyWRWlnNs37nEG4eOMt/J8c+3fpHtI6u86HknybxwmRt7ptifmOfY4ggXv74b48c5nn3bpxgq1Oj9nkWrHWNLcYPPveKfOPnUdmYqeZKzGr/z9ocZGKlQbSTwAo0/u+nHXF+e5sHJXZz8HwcJQsnB4XlGs1W++ugtbNm+wv6bJnjF1jMq7CBQm9dQqobbNgmrJrlxF2n7GA2Hpmsx3VCS5Lt2nOHHnTw5GaIJBTHurCW56dBFEhMm5vk4tVtsjA0Nd0eXsZdfxnrNCt2SyfSf6/Reu8yW4gbluy4y9t4n6f2Ty1z6/GGS3zmKPz2LH9f424WXcPOWKc5+7irE4yfhhgN4+RhyrYZbjBH+XxWsHQ2KpwUDHz1C4VyT4GCTbd8K+MrX7yA5ozH+xgQrt4TUt8Nb9jxJfEky0FsDS7GN0CNu33ORTXQsWb1DSnOISQ9JSCfyMITGoN4glVABLdKVV3xZbk4Zz71CqLyINQgMlcRqF5W+PjepvIndkkk0UAYgbDbpPW4zPdXDdKOI/VQR0ewgLAuh64QJU0l3amqiKD118HFTKqFP76pOf3JBXPFLxqpqcqrZmz5KTTElY5rHneUzLNlZjla3bt4wERPNEvNuATsyeGv5UUq5Fs42B/2kKkam7zT5ySdvYfJ1ZTpbPbZdN8vSTRYTr09xy7XPsv1tF9h+9yUuHvb4yfv+juk3RQTnLxGevYD2yAlWrtXxExErrTR9b1pm+U9uon3rbogiYg88RX0nLL7eZe3qOCMfeIL2YJzR76zQGo3oeQqKJwVuWlK7waV8ysdPQHxZYGQdGkd6WGpm+MHCfuK6Rzu0SEqHIbOCHRmMeyVyWhspQoqFFt3ekNBUHjs3oybbkQYbuzW6JUFzRNItSupbNQITOmVJz9M+uUmH1Wsl1R0GxulptIa7WTiDtaIjmxojP7Xp7urFT1toTojmBHTKUk1e10P6n2gTCegWNGKVkOI5l25RSVvUlDZC74KTFTjFCDcl0VPKO1zSm7RDi6VOBk2GJEyPnNVlvNtLNzDo+AbFeAettwsHG4QXUvjbu0y+Sk2vdnx+grv/6/dZeKvLzAdvYvzj13N+sQ/NFvCCeTL/+iQ/fPonXPrnwwz/1RP0ffo40oe/+dRnmLrL4pF7bmTHu5/k0hcOc/GPkuQuO5QfW6E5KtDfsUxji8R4ZZ3tn5mDjMedr32Cwv0J+p/wefa9Zd76oe/RvLOFtAJisyYi7+KnIP2cdQZHK4yWq9TWU4SRwJQBUkSkDIdFL08QqUbZATPGvvQSQoDfMvCqMcUqKwc4Qy5GX4cwoXiInV6Vztze4hOfMSie99BcWLqtiMhmrizVpWMV7j16Hf+yeiN/8/hLYbVy5e/Eob00Ry3iqxHF8x7xNSXPBpAuJBY0pC0xFw2sKli1kPRMpDxsQJAMyZqKwWgYAUnTxRABXqSR1TokpHsFyq4JwTXxaaQZIDyJ5mz6knUVyuTkFT7KjyuPqIjU9evHlCeveDYguRLgJTUwDYSpNvqhh0PGzw2yvpAlMwmy3kaYJsKycLaW6ZQ08uM+2WkfvauuOTelGjPWhnqdRus3XXm9qw4BIlDTxmxCmZ6yRpcgUqnEGd3Gkj4pzaYeGniRkt3dnn+W4dzmnqJHm2oiWL3No32wS2ssoLJPV82ZhjqU9D0ZUDoTkB2HTp+FNbtBWK2B59G5fR9OWlI7VWLpaD/Ch86hUYRhEgUBfj7B6uEkTkbSczyk52kH6UYs3q4O4KkZ6JYF7SEVNGK0lZ8LFOfWS0eYWYcgUtLzPfllMpZNJmmzspplwcmz5mdoRwYJ6bI1vs5fXnM/q5208kRFysd403Mu8oEXfxvtqjozbw+pXGVhfDdPaga2/W1A/6Ng5yXLrxqj+PkjJM8uI2dWmHlFgUufuY5/+MlL+Gn1KuZfKFi5KU/UbhNfsdn2Z0dojSZYeocDTZ3sSydYfGiYRz5wD3f80RFS8+qg0r67RmRElE7Axce2ovd38JMRBAJ9oAOeoNqJY2k+BaNN0epQMDsYIqAT/iaP4bqeGYJAEIYCva6TWNBwsxFOj09QcgmzPmZVkppX96vds8kSX44onN30dQ6U0DLq/iv/Yp4f/OOtLHp5vn7yOvqO+v9TGeVmdZJLEeWTHvGViE6voLbNwI8r6wyhwFzTSM7KKx45rSOIOjqRGZLI2OgyRNcDcnEb4YaYG12cniT6Rhut0lJMzUBlOYQmSrLoaYwMVLh5ZIqlCz28aP85grbBjdumuOHWc/TH6yx1s8TiLtF9RaQtOXXdv5KN27z6O+/mUHwaS3p8dc9XkLYkKHjobcFrt52gGcR4qLWPZ9v97Estsmxn2F5cZ368h9cMPc3XnrqBQaumJKjDVQ5dP85Lhs6z0smwL7mA7RsMp6r4HXWfpGY7eGkDvekq5YyEbkHSKUtSMyrhVa1b4BQDsukOQTogOy55U98TcH2dM80heg+u0H1jFbMOf/P8b/HeF/6I902+inKqDRmPpz70ae675p/42KdeTfaSxttv/gXvvPdutn3r7fzq2B5mXhqnvdMlPJ2lNZuBQLDnPWcZe/gtvP/zb2TP3y/z9N0f49LbLM7cnufao29BPK/KK64/wYnZYRL9LS7XS3SGAl48dIHZWo4Li70QQXNQw2yHRIZGmEng5+NEmloff50d0RyWRNNJwlCo1HNPEit2qdpxEoZHXPf41eQYM7MlkqbL3vwKZbOFqBkcq21BNwKc0zlI+7iOzttPvZEPru3lo1u/Q2smi1WR2H2+2p8Mn/FuL0PFGtVKilK+ybv3/oKte5ZY7aY5MTlCv1nnobldTCyXSSRtfrG6k12lVZ6pDRMEkpobJ1YRyI6aoHqRhh2ZLPtZthhrJKWDF0nCSEnuQ1RSNSiZvuZEaF1Bc0jHaEV0eiWdHhWSFRpqzY50tY76MYHmRLQHBJkZDy+lY+/ux2j77PhyE60j6PYqtrJbiKG1Pey9g6weTpFaCCid8chM+zS3CGq7UuQmbZKLEd2yxEsqa1pjawKzGeLkVIJ2fUfE1qTaSw3pYxcNYhs+MojQbB/6e9DXGhjdELtlkthZQxohQSTY6CYggoYTo+MZOL5OKd7iD7c+wU9ndwPw42f2I3tsjre3Ii/H+eiZO7g9fwEn0BE9Npf+IMbSDXGM00let/dpft7VmGiXCSP4+fhurIzD1FsjXr/naaSI+PzFG/nvk6/inlu/wUdv+DZfv3SYl2w/z137TnNkYxu6FvCP557HzGyJTqhCE52MILbaJUon/t/Pg//m8e8eUKMoehTY+F+efgXw5c2Pvwz89r95/iuRejwJ5IQQ/f/+dyHwMzEiQ1OgW1RXNpKg1XWMdZ1KM4k0AiYu9/Hgxl4A3nP6tUwulfjJ0atp2Rbrboq//vkruHvX49z1tl/SGoadX3oH+3JL7HzveQ6PzDKYqPNXl1/ODTde4MPXfI/2PocnN7Yyll0nn+lw967H+ebCYb795LUkYi7mHy6jyZCY5rNhJ+ndvs7caoGx1DqtwOJ3tzzNuY0+YqbH8flhUvkO+dNqYhckDUJTI2F4lOJt4prHxWYv91cO0q+nmPQ8ltwcwpE8Ob0Fe28Xq47CqPR5sGpR+9sR4h/OUdmn8eJtzxJ/8RQzP9vCjmMWtd+/kc5b0ux+z0Uqb72RyQ/fSBDTOP3zXTw+tY32gKD+hhuo7kpy+bU6Ky/bip/SaH15kMJXktR2wuWP3IBTjOF7Oks3qfTKSAcyPoXBGlsPzfPF796Bl4lo2Kp4T6ZsZFPnyYVRvIJCktT9BCGClGZjRybNUG22WRkwmq0SK3URZYfQjLCLEXafj1vySU9oJBd/DfBVMtyeZ9TG6yYliRWX7PFFxMoG4jn74IYDdHpNYgsGyxsZFRh08xDurfvRhgaQ9Q7JC2sYHXXwzY17ZJ6tEa+qSV/hWU/xzQYimsOCdr9CQkgfiARBKqTrGSx1MuTNLl9fuI6C2aYv1qTmxjmcnWEw8f+Q9p5Rkt31ue6z864cuzqn6Z6enDWapJwDCBDBSAJMlEEEG9uAbMNBsgGDgWOBAQlEEMEgEAghCQZlaaTJGk3UpJ7QOVV15bBrx/thN+N774cDa50G4mNTAAAgAElEQVT6VN2rurtWV9V//8L7Pq+fVdWtzLOrvpjc6y1E4nXqQ03EukRgxs9Y7Lt0lNQemcoD3dhBj5blWeZvi1O4q43Nu4sMf3sT7+7eRuIVDTavZvihDeTftwXJgPRhjyXJOabevQI95zF2MzR7Ekx+ZivBaYGWx3VaXqtTumMzou1x/rZWMvtdQlNNwlMWs1s9PA/G3uzSsbNJM+khnQyx8vpTbGk7z9REkjXxCUJiExGXkGgSFQ1cRHTBQhEcoroBok/ZdeUFaFHNnxyKDiROOwRnvAuHfPqYjVb0yK6WcSWB9p0OgXmX+pZBpi+LURiSiYx6qCUBL2lhh2RK/QqFJTpWWGZ+mU542iF63sVICBSH/EPc1gXcBQqzqywAQHS/GVZq/xOUbbQIOLZIUqmRsyMogsOK+AyLIvMsS876Uu1iJy6CL3uthbHzOrFQAyfgkXgmQHBSxLEknnhtLb9+/7XE/hDCDrtIhkjP9ySMVpt/OPM6cmcH13espeMpicLvF3PDoTnqrQK3b78LuSqy9mOHmPzMVqSCDIrL9Gad0/fE8CQP774MPd8/hbF5iFOf6KY9U+SPP95KtVtk6lIZqS7y+NwaVrVPIU3oWEMN3KqCYAGPptD+I8HaxATBeIOqrVG1NGTR9T1Yjs6cU79wtC4LTLIkM0e6o+RPk6MOgfYqkVQN5WCY2HEZwfGnzIkT0PeYixnzKAwptL9cof3hkzhjE4grl2JfvYHiqiSBSZnZRgQ5r5B94xDGGy9GXtSHWKqTemmCwLxDqV8hOOeS3jmLK/senNZXm+hZETPtUFpuU1gq0Gj1oyW8koqgO+SNIJYt0RKtMlOMLHhPff+phEvd/Z+Qb120iEXqkDCx0pYfLRP3aCZ9sN6fyNCC44OD9HmP+Nk/QTBE5JpL9GQRL6DhrujHWNdPMyoh2AJiQ8IKChQvaqN67XK87lbUySIt+ws+JCkmITqQOlYlPOUgGx6xEYvgjEcj41FeJFLtEBcKI1+d4cke9abfCDccBX3BnOp6AkHRxPVEZpwoLn7DEpdqDEayBGN+U2sHPeykhaQ7aKcDRE9KqMWFBtj1/fbZtTKeAJlXsgTmTGpLW6jcsBJvxQBGQvJpq2kbs9XGikB+mYJ55WrcbavxZIH2HUUyO2bRin4MR2jWpf+3LlrJWfg7fjyUkYR6m0gz7vvZPPz/t7Y3jCS4ZLQKBTOI6wnoss3SnhkOFboAqLgB2uQSvVqOd0YK/pY/6zdhYsAmrVX55lffjiy5SKdChKdcjLRAYbXDZT9+ldixPKkHdyMZ0Hiqn5Hbu5m9dZBGl0VwVObybccYCGYhatHICHi9HZx9R4CRL2yhGRHpftsxFn98L+XbN9NMuby1azPPfXsLiz98AkeDYimEYAnMbfVwFzWQJB+20vdrgZ7vSAQy9T8t0JltRi8UxK4nMOFYF96fy4NT9Lfk6WwpYsdsjJSHN1BHSzUQajKxQypyw4f5NTIerfsdEscEHBVEyyN4eh738AmEYABpySCVte24ssDDExvRzmk0UjL21RuQOzsQFJXg9sNExppU22WUukf3Y9O07SwQmPNIH7FI75Owuk0qK01Ki31rxp9ov2LYQhBAEl1aI1XCahMnIPsbVMvFTobwAj4gCVkkOmISmPfhMdZsgNGRFp4/vAxSTXaMDqJEmuw+148keLw6283REz0MpbLc/PEduBGbwZ9/mF8v+28+ffPjVFydU/U27jxzG1JbnWC8QaPT4eFz69FFi9O1DJ9qe5pT9VamqjEmKzGGlk/wWrmXb1z53+wv9hLUTOJ6g4jcZKKRoGErfH94G5lgheFiC4lMBSfgUekPIVoeVlzzlVoS6AXfMyjXPYyMD9IqDEnETkoYu9Jo0wqOBj+Z2UqtpHP8GyuZOttC/VAS9eocumhx36Gr2Zo+5wPHZJeHyhlu2HMX0rU5ypsarAuMYCUdepdPc8OWw5gZGzlgI6wqc/WmY6wYnOSFAysQpnUOf+JbfO65R7nou3+HHLT5xP5d1EsBlN/HeTXbw5uWHOGy7rMU6gFEU+CJkZWIzye4fNEZ3v0vv0dwIb9ERjBtf+NYNPBUn+7ryh54/usuNwRU1aZe0ejryrGsdQZJ8IhqBqfPt7GoNUdrR5E3th/hpedX84dzK1i2dpTxShyzoGNFPWKJGoGgiSy67C/08nxtqQ9i7LFBdtEVm/rpOI++tgHHFblm+UlyhQj3vX4Vo3NJ2oNlRMXl269fxu0Dr7K8w38OuWqIc8UUk5UYAy05VNGmGQdPV3HCKi1yGQnf+jFupRgx0wvXPx/Mk1arOJo/WPczS/0az4oIuKrvSZWa/nWBheFleMoG199A27pP4G2kfXtUvVWh1q4xvzaK1dtEy/vReblVCsUlYRzNj6rRs01mLlaYWy/T9VwDpe6SX6KTOFEh81oDteyDueoZkWbMVxCFpj2C0yIvTg1iej5bQSvaeJLgezbDKm5Yxx0ZRy07aGMali3hGBJtWpkPD+wAT2AyFycZqPPJ3meIqQYPnr2EykyEzYvPsWbJGE5eo1UpY4c8PrB8F6/XOxk71g6TAVBcjBYfqBmRDD68990UmkFu7D6BotqsbJ8meDTAs1+4hLZIhW+ufZjR/V3ce/wN/Hh6K41ckCdOrCJvBomqDWKagW3JyEGbfcV+tJLrW7JaA1iZ8J9tCS+0hn/xI/+/t1bP86YX7s8ArQv3O4Hx/9fjJha+93+8CbaLZNg4uowTlBEtv7mwIu4FQqgkubimxLqlI8iCy1w9gvhSnMH2LDdsOowoeBzLtaO11vnBj27i509dxs/v+Ab013n89dW8eGgZ80aI8Vqcnkiej7Q9z4wVI5GqUG7qHJrtJF8I8Y2XriOmGnQsynFjz3GmC1FyJ9Lsem0Jo2cy5AoR3HmVl2cGyDXDHCj1YtoShUqQtniFN/UfJb/B5vxbZRxdQi74xWJKq6GJNqOFBDXHL1IGFY0uNc/KtSOoqo04pdPIeAwmc2ALLP3qCNof9nP2Dgmjw+bUB4ao37qJvp+McOYSmLvSYviDbVSvWU5o1mHR3buZ3SjTzNh8eNXL3HzrbkoDflB39JRM4qRB4LF9ZDe5RA7NINrQ84xF8PgMA3ccJHnCoX2XQeqYDVWZllCNyRe6abbaqAWBpek5lvRNI7yQ4OjbvonyUozUPn9MJQl+ZILlSdRdldKCNrtF0lgVm0JXLZyqjGiBHXcQdAc15/+sVvKLK2EBimOFRNp2N4idqSM2HSrr2rGGOvEUiWZCw0j4VNDeTJ5qj0szJtBIyVgdCexUGLMrQWi0SvR8HbVoYmZCyHWX8GiN0IlZgrO+od1odWi0+M2XJ/rbD7WlTtOWmMzHaLoS65PjHJrvIiCZJNU6I0aKWSNCUq7SLZfJWRG6105xUds4gbMaWk7EioDgCMw90oPc9Eh9dAS5KmD9OsPwnZ3geOxao+KpLue/vIXWl7LMbgyz+L0HcBWIjLnk1gm8NtWFcE2eZkKg81mBWrtC70/O4agQf+EcZ96toBccglMNOncYxF4voBwf9QlwdRFpXkGZU5i8TPOBPF0WEblJQqnzhUt/yy9PrafmatRdDV00KbpBnAVce0qpEZAtxFTTB1nNeNTbfPCKaEHsnIORELF1fzqpVMGMiISnLTp2Gsxt0LCCIrV2EX26TmzERi15/gam00VUHSrdMpIBkQkbRxcJZl0Ki2XCU6afnzrlgx3iZ02CcxaBrA0CqCUWpL8eWsn182tVaLS6tGeKdKl5DFfh5+MXM1xuwUVgthHhQK4LRXQISX4x0zAVgu1VbEcCz29wq8tNBBH6fuMhWg6Dd54kMCvSus/FSCkMfWQfXx9cwfHPd3L6wY3U2iTSnxJ45ubVNDocPNnlgXc9wHe7dtN+3ThSQ0CeVwhPevT+UEQrCJhhifBjML9cZcn904RvOEfn9jla9zVRygJdzzsc2T/A/pP9fiE8o4HiomwsMPCBUzz3sx+QUcs0ZsKIeMiiQ4vmSzVLdoBRO3DhbN2sT9ITypObiCMaIlqqgabYNE7FUaogmh7RURc76Mvr7aDE4K+qZA42EDzI3zCEsGIxniLRaFGodolYy+p8oOsVosvmMeM+qdyNBPDCAQpbu1ArFplXq0SOzuHGgoRmLGLH8qh7ThKc9VDyEuHWKlbUh0M4qocnu7S2FkkHqtQaKtlymHi4QVA00QUbUXBxECm7AQzPRRNEWsQ6a1um0IOmDzlTfbm0p3noWQGl6k+rBW+BnOiBWnZInDYJzdgoFQuzJYQdD2CFFeyw73/2khaBngrNFDTSIq4s4IQ13GiAZlsYrWiROFUjeraGo8vIDYfAtIE+Uyc8beMpYGQcrIi/6Xc08EQPrbtKUDOZqsUYqaTIWWEU0aHpyjRdmYqjM2PHqLt+k7NUybEqOIHriuhZESvioceaOIaEUvFl+7ERC6XqUyID8w5dLzYQbY+ZK1uQ6iaS4RI9UcBoC+JoUOsSWLNkjG0rhzFabRyNC5YIqWpiJgOU17TgKiKx4SqR00X0kQKR16ZIHi0TPe+izYvYYc8Hpdm+zM0Ju7C1iHR5/oLVZbwSZ6ocpdTQKTd1JMHlRL2dOTtCSGzSKRd4sSFSeKkNfVjDG6gTjhi0qyUSt0/w9kUHUQtQ6RIJT7qoBYk/fu5yEEUmP7MVR4fIh116H5+nkRZIHJSp91k80P0Sb4gcJh6vEZryMNNB4icE+h+r0LInx8gXt3D+S1uQGx4dr/jPNfX93ew8OYhoQdvjGm6nwdLl4wgjARr5AF7IYeQdHhMfs3low4+4a2gHRTOAIjrElQZJpUbTlZlxQhc+e5cHh7m8ZZj5ahCpLOMGXGKRBuZckMCUhGh5RMZ9gF5wWsDWRYI5h8SwSfRcg/pgCi5ehdOexk6FqLdINFOwMT2Ks6xGrWMhmi0VhbVLcDYvR65ZZJ6fILlnGjsTxUwFiY6aBA6OEh0zoSwTT1Vp9vs+dU/0r1XBcJOWSJXzk2nGFzzDSsVEajrg+PmRiCKeLuOEVD+vXgTBkPwYooA/VHbrMuZ4iEy8ypOXfJuRSpJqXUeJG7x2eIBHz63h+WvuY/XFZ3n7ydv5xcRG/lhazbQRo2qqhAImxmgEIhaNusZXX7+WfDPEv0/fwLLQNH3RPP+1/Bd+cVmL87Vz17MqOsXSxBzT5ShjtQR7JnuZmE0Q0ZvM1KJ0R4oUCyEczQfAaUdGyK5RffVU0cEO+NYeTwI3YmOkffWFFfF5FYEsOFtLzNUjqJMq0V/swZM8ohty9Mb8a41dVnn8O5czub2Xx7d+h3996lYe3fRdkl8LMdiRZV99gHXLz3NT+zFWh8ZJ7ZGxDRn9uQiv/H4Np/b2se+W/43YXWPpTz/Kx774MaywTzzXBYuOjjy166ooksOX2/bz0tgAxukYbsriiysfo7TS4vAPVvH94W20PXGerq/v81+PkIar+c2qVnBxdA9Xd3FVMOMupuln6nqegOnKlA2NM9k0fb1ZzmeTLEvO8oPTW3F7DCTJZbLkW+Y6+3JoWZFYwMA0JZKhOvONIBNmws+ytQXUiEkuG0Hur6JEmqxMTPP8zlX+MEu1aEuWEfFwbZFExFcgfLH3MSJ6k0ZDJaI1sR2RwUiW4zNtpI86CI0mdkBGwiMlVyk6/jauRa4QlQ0KZpBC0x+MuREbK+zXJlbEVySYEQjOOoRmXUTbI5hzcAK+dcgKSUQmHKqdEqkTJvMrZGKnKr5dT/KXGc2kgB40/SzVBQVBcM4CAeYuCjJ3UZDMazbtu5qYcQWt4NcsYsVAmSyiFV1sfYGtIwn+Fl+A+oY6N3afYNRM82q+B0cVcVSR4HQD0XJxNAnPttHm6n4NbYvgwZQR5wt7bsYzRZZ1zvCfix7hcKMHVbRZnxlHNETqtkqxGSDYUeWbT97Emy/fx+/uuYayrRPqL+EkLLBFPAkq/S4fT7zOLUuOkNJrvDizGKOkceaRIW5713NU7ygjiS4f+sMHkQaqVGs6FVMjekpGGtN5+cgS3pA6zCXps3gu2BWF0UqCuY2gFxxqrRLzy/U/1xJeuP1fU3w9z/O44Mj5y2+CINwpCMKrgiC82sTADimIpoM2XkQ0XeJnLOS6gFwV8SSPelUjEDOo2yrZRph8LUit0+PcgW4O5jqxXZFrO09inwtz9W37OHnHt3nbix/BmQ0QDDd528X7iaj+obwpdp53vXAnv/j0zbiuyFwpjCR4ZNJlkt1Fjo51MDWV5J2Jfby89X46Vs5yy5YDXLX+OA9t/iF6VmJ2MsF0PcqR6Q4EwcO2JeZrQf771U1kdsp0PutPm2euSLMokmOiFmfGiNCfyGPYfvP2m2qakhPkitRphNeiSAZsue4YF8XH0BMGbkuc/Pu3sPRbVWKvy4y8OY4+16SxrB396TjplxUG7zmI3HAJH59j7ndLcTWP9259hb9PnuMPv96CtaSBuq6AaEIjo+Jeuo7+39q48TBWxCN3V43mQIba2zbxtn99infc/0fMiEjkjMTpsTa0gv/q2kHYf2yAuNbATMCG3R+gtMYkv9ZFE3yfpuOJNF2Fpqsw54Rpen6hNaTPoCm2f5FWQQjYiIp7gaJmJHw4C4Ba9QjOmDSTCqXBIGLTRp9tIjUs7KBywTsW7y362asJf0puBQVE00E0bATPw4rrVHqDVPoCKPN19OkqYq2JF9QRXB+8IS/QS+2gD/URXBBFj7Wtk2zrOU9YNpltRlifHsfyJAaDsxStAH2hPH/MruSp6nL2z/cyXwvy0rlBjCEDJ+CR2TxNbOk86cN1Yj/bQ/6bvahlWPS+0/T/826cqIb9bA+xIwqL7zsHgBOA0Xu34soCc9daPPz2b5B8OETteILKxgbZtSKpF8fJXdNP254a9qJ2ln01x8SVMtNbIzQTCif+NoYQ9e/3bm+SPuRvNayIS3TEJZBo8MKpIZ6eWsr+aj+RoB9sLQouEh66YCEJLhU3QFKu0rAVPwJEcf1JI+DoC5EuC7JF8BvFap9LcNai3K0wtU33ycuTBqFpl/KSCPWM7y13FhZgkVeCGEkfWCM3bFwZHFUgdczC0SSMFNRbZAQXjKSMkZTJL1fJHKgTzPpxNJ7oSw3lui/NkWsCCb2B4SlEJIP39uyiNVimYmlsTZ2jPVS+IAES8WiLVFjZOk0uG8GJOKiX5lBDJuKYTmDvMNOXRDn+8DKUS+bhg1m0vM3Zr23mE2dOIhgiQx/aj6vA2C1p8vcrBKYkAqkGv85v5MYll8I9aWLrcggOaGWHc2/3YzGipysc2L+Yw5/+Dsf/McPEP21l5Is6U5dovPOO5wnuOUv8uEDkuIpSE4idElBnFdydCV7dPcS1J97Ic3NL+fSVT17Y3NQWCIaWJzHnRC6csz1ymBkjilQTcWM2bfEKsYCBWhIWYD7/81pGxy0CMwalwRC5FQHEukniWAkEATuu4Qlg63DJorM8U1hBb6xAtduXKbmaDK5L/GgesekwvypEZVUGsW6izjeo98cRkwlCMzaxM1CdDeOpHnYI1IqAUpCRFmTKmXiVNR2TFCrBBVKvuzAtt1EFm8oCpVEXXOJKHduSEFiAEWkOnvin96i/XVerHnJtwdPneZhRGTMqgSSgFA3Ehi+lciU/ioCFn2/0mlhhAVsXcAIygu2izjeodmrkl4VotAVQ8nWkuo0TlDETOvpsnfAoyBURR/X/vuD6G/6QbtIfzbMyMU1fZP5CpECfPo8m2gtUSoXjln8B75P94qs1VsFocfFkD6OoEz6lIpr++z23SqHaKSGa0IxKZFcHMBIS0XEbT/H9u4U1ST8iRAaj3eb1vYvYu2MZYtTCjHlIDZdap4YTUNBH5glkTUbeLJBfGcFKBLDaoyBLTFwTI/n0WVLHHD9yRvUuyAb1GYnmqRiK7NAXypM3Q6xMztAaqbKmdRLHE7BciaqtMm0luCHY5IqAyxUBl/7rz9N6xaTPkzga5+H7r6Vpy/z8kat44/teJn79NLU2keCUwPgNcPKuOJ1f2YVSg/mt7Zz8VBilCtVewBFYc//H+dR7Powq+weUOlujsNxj/NooQtOi7192oy4tM/EGh0qHjLR4EQCf2byd/nsPEJo0ECWP4ekMoQkBJWKCITLwU5eWaJV7Rt7EV3bcTEg2CUgWNUdl2ojRdBVGzPSFz96QopNWKtQLAV+hE7Foj5QRG77ns9bpN/hKzUOpeYQmm6gFEysiUekPEBwtIXggNi2aSY1mUsBaVicmN7hp6HXqyw3MqICrKwgNC7nQwJVFsld2UdrQhjI+jz48iz5awGtPIzVsUgdFSiNxRMXFSPuvnWSAKHgsiswz0JVledsMZVPDTGg4moTgeH4MoCIhlhs+FbZpU28Rkcsiq9afx23ICLoDsocbtZk90sonz72dLenzvH/5blxH4vZLdrF9w/e46qlPMlePMBjNsT45Tlhq0q6XiGkGlTNxWl6DUNTALqrEQw1qlsrb0vs5WunissRpfpS7hM/1PUFrsMyVbaf5fMtx9oz38ellT3NmuB1NsfFqMj2RArlKiEPjXSi6TeaAR+p1h8ZFi1AqHkbCh98lTtYvxJYpc4oPnMsKtBwyyeyD4JzL1b2nKdQDmJ0mk3dvBcGjdCjNoX2DPDh+KbdufJXIW6e5872/5+aXPoZSFbjl0U8ydpfDXDXMH6eWc1lqmPtfvIYHHngT9/7Tj0juVWjdXeL6N+0jNCFwxbc+xW3LDvDg279LeNomNCnwzOXf5FLdZufqR+l5+1H6InluO3c99WwIT/YIx+vcc+KNvGPjfmodAumvBZi7oZ/5d2/EieiIxRpi3UJwPNSaP1ySGiJG0iM4JeKdDfm1meiyIjaNJjs0yjqjUymsssbusT7S4RpuTsOyJGp1n548OZXEGDIYHU8TCpgEZIt39e6j4Sj0XTXin7uqjSi7NGeCCAK8mu3m5ssO4NQUiuNxAI7kOviHi55hdjjN9tkVvFgfIhOsoOl+7eh4Au9O7sJ1BfScRXVlK4HzBc6ZLYyYaeJSHUWwsTyJjFomJJvossWJchui5mDFXMyIf92SjAVIkbdgC4oJmCERwfHlt4LrUemRkBsejbRM8oSNkQmi5z20inNBnivtiSJuK6DUQCt4VLoUlLJN8qSFaMLMFon8Mg1tvkkjoyBaUB9I4MaCKHWfgyDa/kDECgloZZeLe0fRRYucFeFzfU9Q6Zb9uJfuAFZEwdElpHQKbNf3l9sSoWSDzdGzCFUZwRQ5k02TdYN8d8dVzDaifDTzAvqsSEewxHwtSK2kE1hSxPIkJq/y2DE66B9Uju9NFpsCen+FFds/yvLgFO/M7KPWVBnqn0G8Zp6Hjm8i9HCMralzPHjT91EUP8Zp7Gg7i289TWBOQGiKnGh0cqTcief6trK5I60kjwrYQZH42SZ6/i9vFwXvLzCsCoLQBzzped7Kha9PAVd4nje9IOF90fO8JYIgfHfh/i/+/4/7P/3+aLjT27L4A7iHTyD39dAYyqBNVdG+XeDaluO8lB/i2Ew7limTTlQo1QI0CgFE3eaj617iv/ZchViWUcsi//TOX3HPs28FF96ybT/PjC9hMJkj1whzXfsJboke4tadH0EY1/3sxpjN4MAMl7cM8/CZDSRDdQZiOfoC8zw2spriZJRkd5H8ZBw5atLXOs+ZU+1IDZHrLjvEsXw7c3vb6Nw6SUxtcGS8i/iLOtVu6PtdGfHsBKteKHEo34UkuiS1OrOf6Se/TGfThw7ync49nLWq/LK0gQd3Xc6NG46w/cBqAhMyruoDL+RlZbre+jqnv7cRZI/rVr7OyMUNmjdt9DXsyp+mQwLXv38Xzz6wBbnh+ykdRaAy4BId9iE20VGXwmKRzCELOyBiBURExyP5/HmMFV1MbdPoeyyPYDn84KkfcfX3Pu2b0z2w+g26WwvMvdzBX7/jGR58+mpczeOd23YTkxuMGikm6nEWhXNMNWIsi8xwqtqK6wnM1SOMzybwiipe2AZHIDCiXqBchiY8lLpvIrdCApmDDaSyiR33w4/toC9Pq/RI1Lr8g1au+3JTK+qhz/sZVmrZWYiraeLoMuVejeCcP8UKHZ2mvrwNVxURbI9Kj0xxqUfqsN/gNlMgbyhgWTKOI7C+e4KZWpSucBFFdPhe94tc/76/wRMFaq0yH7z7d5w1Mnyl9RCDP/8wTsJGVB2kSZ3kUY/ikEjntgmmXuli0Y8nwXUZuy9CR7QMV0/Axas4c1uI+AmB+BkTKyrxt//xMJ/92bvIHLQp9cl4op9HmF/tER4VUUs+vKRtV5nJK6PEzzgEJ+uc/3uBwY9NMnvrEOFpB/2JfUz//Vb+8c5f8fCl65h78yDVa6tct+gkLzy8kfraBr/Y9j1m7Bhnmm1sn13BfC1IV6zE8ck23rDkGIfmu6g0VfKTceLHZMyovy3Rir4ku5kQ0HM+Vt0KCBSHREJTHpndBXIXJdBKLtVOyZ9OBgWKyzxC4yJK1QfWGEkRJwBqyfP9gEGRZkwgMO9DWZoLcReNtEhoxsGT/IuUE5CYX+6T8loOGeRW+soDV4GBi8cYjOSoOSqzjQibkiMcLXdweOdiFt29m9Idm8ndbHDmiocunD/9T3wIMWgjSB7CeMCPuJJ9qI+YbDJw+yFyd27xoUwJ6P7CLsY+v5XLbj7IrkfW0Ux5BJYW+fGah7jje5+k97EsdiJIaTBIrcP3OXnryzSyQdAd1EmVvi3jzD3aQ8ej5zj1j30MfuZVTv9wNd2PyAQmajhfK7M4muXsRoOJf9pKo9NBzdSxLZkzV/6Ir8wv5ndfvJq2u87SolcpWQFOZFtpGApWUef+a35M0QlSdIKMNVM8csLn1QWCTarlAGJWRS2I2CE/ZkWwwcgAHnQ/W0fOVbGTIRrtOoLrYYZEZi9zCKbr2Mej6DnBBzUsqcKJCPFhl0DWxqS6fOwAACAASURBVFVFtFwT0XaZ3hohNmLjygLRHedorO/13zdxHwIx/iYXfcT3pxTXm7S0lSiUQjhZHRIm4WiD9w7uxUHgYKmH7mCB8XoC05VYHxvHReDl7CAFI0B2Ko5giniih1QTCY37sBhH9Wm2atWjnhHR8y5KzUWfayJ4HkbabwatsEily38/KhX//+Do0Ez5sLb4sINSc33cvyyilE1qnf6wKzxaA8fDbAngKgKOKlJrFX1oWNNXGNQ6QVtdpC1SYa4aJh2usSk1giS47JgbZOblTuJbZvnC0GOsVytkXQ/HE9heXcmJWjvPHlsGloigO4jzCmrRJwcnTzpIhr+JLvfJJE80sUN+hnTyRJNau4qrCBSX+J/d0KQvj1eqfkxTo9VvMiNjvidYqbnUWmUik35RW+5VST98GGvTUlxJQCmbNFt0xq4X6XnKxRME5lfI1PptkDySbSW2tZ/n5ckBMuEqA9Ec2w+sZujD+2jZFednfS8CcMmRW/nhsp9ScRUOGH18/9w28qUQa7snOHCml+tWHEcRXE7cvRJ1voF76Dj5928hdq7J3AadW979Mjvu2UJ+qUy9y+GZN36ddx59P8aONFbIL0bNmIdcF3jnW1/kZ9svxwm7pPeLzK/zcDWXoY/sY+SXqxn42DQT715M+kiT0oBK7KzJlx98gM+/+T04IRXznhKzpQiB58L816e/zTZdZNX/votVbzlBZ6BI3gxRsTXa9DI7p/t5a+9hXAReK3bTEShzINfF7GycQMRAVy0KYwn0aQkn4Ee/6DkPO+T7o8OTHskjJcRSjfpQC67q7xBKfTKldSZSQUbNi3iK7yUXTIH2nd4CDMlDy9YRGxa1RXFq7RKhaYfQqRxuLEitJ4QrC5hhgfl1LvqshFaAWqdHeGWeoVSWfYcWE2yvEgkYhL8cxZVFmgmZ8BOHkNpbMbtTnLsT5BGd8LhfaJeGQFlcpj4bAs2ltb3I+pYJJupxZqoRiuUgQ+1znJ5pIRY2eEffATqUIodqPRwqdLE6PklUNnho1yWIhkh8ME8hH0bWbEIBk9ZIhc5gibWRcY5UuwjJTXZMDrChdYIHu3dy7Yk3siI+zbOjS0iG6kzNx3jTkiM8eWYl4aBBRDP9RmpYpec7xxj/m5W07WtQ6dYuDFnv/9I3+Ez/JgCyH9nCa5+7n8s+ciel91VIfSfEW/7zGb75xE2IFphtNm1deXKFCJEdAcJvmaErXGSiGmfmQBt2h8mS+xp89tGf8ZEjdwAQDxiMj6cQDInkYZHC5QY/2foDPnv2LUwc6MBOW6xaPMHwXAvSgQj1pU3ev34nOy+Os/3cHlbvu41KNsz5mx/k9vNXUrxV4Q8Hn2b5rnfxvqW7+c4rVyPYArHuEpk3nWTm77bS/nKJRkeI7BqZ9FGbwO/2Mfb5rf7A+oxAaZuBV1BZvnqMxsLSZLoYxair/PWaPTw5vpL5XARJddjUN8LpQgu5bBQhr3DNJYd55uQyYrE6tYbKh1bu5IGDl+G5Aou7/Mi4ghEgdyZFuLeELPrxU9WqTipR5bNDv+czP3svzQEDWXG4bvAkLgJzRpjeoO8ofPzUatb1jGM4CseO9bLkuyWqAzEcTeBfvvAQw802xo0kj59azZ2rX+ZMPcPTh1bS2TPPX3Uf4FuP3oS8vAyvxnAC/jluhUCp+VExjZSIVvIzT8UFInlkwqbaLpN5OcvcJS0Lyhu/Xin3LpDUC/7nrdolItgQmvajimoZEcmE2PkmjRYVV4bQtEmtXfXP3mmL/HKNyLhNvUWi3iYQPe/SaBFJ3DTF3/c/zX+OXOtT+b+QxkgpPkhp0mTiShWz1abncYHJyyXecNV+fndwLV+57BH+ef+tSLLDQCbHNS0nGTFSPHl8FSt7pxh+bhGu4hFdN8+udb/grWdu5oMdO/i7P74bvb3Gdf0neXzPBtJ9eWxHZGXLNC8fXkrktMyPPn4fvbLFh0fexIGji7hi/QliSoMXfnIxjS1V8ARUzcZxRG5a9DqPHV+DpDjgCUTCDQrnEyBBpLNM84gfhRaY81CrLrsf+dQBz/Mu+nO9518UM3PvvffGgdvvueee7yx83QsM3XPPPa/ce++9HwPG7rnnnmfuvfdeD/jQvffe+/N77713M3CV53n/+ed+/5c/+6V7hDuux/qXAM1CBjskoj53iLM3LWLX1ADq15NkezUuW37al5BaKqYlQ1Vh79gigqMK7RdPE+st8djei0n0FXB1j/OVNJYl8Q+Ln2HcSmEh8++/fwvrV51johHFCzlgi1Q9hVfPLWLb4Fmma1HWJCb5753bcGR427rXODzdiVdReM/G3ex5Yg0d62coNAK0txQ5l0/z0PXfxVVk9j64gdApGdnwaHulghXXyV3exsiebuoDNjtWPUaHfpZjm5Nk1mWZqMV5d8tp7rjxPTzdtoS3bdqP40mIEYf8jP+hajkErV89g7NlBfn1AgM/ccm93EbwBy6lE0lSO6dw/7lOY7HFtZcf4rV/WE9xsYJc9yeCri4QmoJap4Ce96i3iYgWNJMS8bNNcqsUPFkgerpK7t88uv+jiKfK2OkQs1cKHHRasRWBI3/1XzxzqUTttjSlpo4VEzBCoO0JEV5R4kixk1PzGa5tP0mPNo8u29wYOcK7ksfxFJNnJ5eiqA4WPrHTM+QF87pA2z6T8EQTxfBopGRCMy6OLlEa0glmbZoJBSMpkt3ky25ip335nmz4zZLg+vE7zagfGSM6Pq3PSCvITT+PU244yJUmdjxAYKKKIIpUelSMLhstKyI3wYwLNFyVJX3TDCTniSgGM/UozX9t57K3HGZboIx31QT3veNl7t+9EWupzduSr3LT9z+CWhTQl5Yx6iqrVo8yM5ei0WdiHEzQ/+g89cVJzr4rxsBnJikVevH6Oigu1un60h4m39OFJynIt8+x98ubqF5VRzuj4mgQG3GY3SaQPiSQv9jCVn2ZlytrhKddJt9oY8tBuj71KnN/vRYzLpD84R7O/OdmFj2S53fiRagfN1GWVxGeTGI8EML9UIlGU2VZZpbvT1zKlcmT3Jg8xo2tx2gLlClKQa5Pvo4hahw93k94RKbe6iE4Ap7qITUF8PziO3mqiav5MsgLAdQBDbnhodQcSoslBBvKA9C+20Ous3AxENAqnp9dGhWwAj7q31EF9KKLGRGp9QgE5zz0outvSpsLck3Lw9FEjJSfqWXGBFqOOEgNkSVbRlkRmiKtVlkSnuWpv7ucLW96nV9v+SPeh2zGlwZwf9nC5No6a/RRrvvEx1AKEh1bZzA9iVhHBXlvCDMBbbs8Wv/tADN/u5XiaofQmIAVFcj8m0V2Oo7yTy6XfeEIR+qtXDUwzIP//mY/c7c9SLVLITJhYaQk0scsGnYQTxAITMoEZyHygE1pWZDiugSdL5qMfrAHbVIh+cO9TN82SOiXGgfULorvS/P4rffx0jc3k/7iQQpva+OgGOFoqQNzVZPhsTZmrTBVS+Ndi/ZzcesIsXSdT6ZGWKkZdMrT/HB2E92JAp4kkAw0KDUCvnJAFuj7vS8nDI8ZWDGN0LSHp4rMr4sQmrEoDag00hKlKxsIBRXteACt5AOqAllwSxqNwSbNiIzgSAiegBWRqbdpyA3Q8zZawUScKyApAdTzs+iTFeYuTdK6bo6CGUTPiWizEpVGECnVpK8vS0usSsNSMESVSSNBQLZYHZ5gbXiMK2OnWBOYoFfNsqO0hGwljCviR8uAH4Xh+WmimQNNgrMmkuVhRiQQBH8r36LgajKuKlDtkiks9xAdAT3rA4Hkpn++KDUBKwqe5AfEu6q/lTTSKp4soDQ8PNlvhpX5BoIsITccikMK9Q6X4DQodd93Xe7xaI1VWJuepDVQYcfMIEPRLMuj03QuzrI8NsP2+VXMChq3hKuct+FnM1vIGmHfJx+wscoaiKAWRWLnXQJZC9Hyz7dmXMGMyTiqQDDrUm9TsBbgcFYEwhMCrgJ6wR8GKnWP4Cw0kyKeJKCVfLlveMrC0SWMlEx40sLpasEJSAQOjWEsThMcKVPtDpFfIVDp8yfvXS84BCdEgptKKJJLW7hM3VZp0aucraRZf3eJ2UaUzx26lGFN5deLn8X0TH5VXscvxzawPDWLpHrk6mFsRIaHuzDvb6HWrhKcqDN61xKioy5IArgi0092ML1NRjL8ovPXL16CNR6k3u0QnBQJZD20EjSTkHuoi8LFNpmdMoUV0PWCQ2avyfmPL6LlWRl9pMDk7REy9x1g9u3dpH98mGdvuojSZAu9nxvmJ4OP8dhXLyX+0z28+tbV3L3zamxdoKtrnpFqigPnenEU2Jw6TyJo8MHkbt4UKXNrYpjnah0EFYu8E0BTbCxHwnQlrLBH+oBA674q4fM1zKSOUvNjtYqLdex0GE8RaLRI5FeKNFc1CJzUCWQFH8BVAKkh4mpQXO2gFHyvnKfKlAfDNGMikXELTxJQGg5i1UB2RALnizixAM62KnVRJrPflzaWwxJKwCGWrNEVLSIKIH19kvOfT1BJKbScEnHSUYTdh3Fb+ul6ukB43zhzV6cx0w5uVoe4hTSv4EYcxioJprJxNnWNsiYzyStnB/nQ6l0cyPZQQ2d/sY/BcJbJRpzhUoY9e5exeu0Ic3YQWXEJBCy6EiVmC1HWtU2QNSKMGwn2j/diixLLknM0HIWvjm7gpZWP8dXxi0gF66xJTHJitp1TuVa+uvE3/G54HaXJKBtWnMfeHkeIx1GrUFqkkn6tjJlQ2faZfXz1obdDdydjn8ogVBWeSqYQ7j5FPTVE7Z1lhusZKoUQnigQOStRy4WxBBHWVPnE0PM8ObGKUj0A8yrKvMzcJpXblu1maXKOzmiZY99fRXOJhev4mztXgmcrS7m84wxHsx2geFzSc4aT+xbhLKvx4mXf4h8euYPqug52tYVQ3mVy7adP8ZX33chjdz7Gd7et5n2tJ5lUYecanU9+fQ9n5RTSj9MUr+yhPOSQOuJLQiVXw5MEypf2IJm+TcdVBKSiQmLVPLlaiJBmUqgHfN+34nLo5SVo7Q16W/Jc1nWGU6VW8pUQt6/cz+tGhpwZQtctBpLzLE3P8esT64lF6yBB1dRoCdfQZZu71j7H0ydW09VaIFcOMdiWI6Yb/PSly1GXlJFkF+d8mE1Lh/nN/ov40ppHmbITvDizmMbJOBNOmLuXb+f50mLUiRByw0WtOlhXWJyrt3BL8hCZRI2AaLE8OE1WD7M4luVMLcN4LoU3o2PFPJSq6G9PAbnm066j4y6S5REZa1JrVzDSgg/bcwWqi0J4C9m4juYTef9kExEcUGsewawLnoAn+VRzWxeInTepdmnUW0Ri50wKSzTsgEjirEG5T6Plh/vJXd9NvcOPPpNMaH9mlhXvGedUo52bW46S0uvscAfRChCetpDrFuFJkMsKkV/tJah3IGyuoYRsfnP8IpLJKo4nsLZliulmjJfHB/iPix5lf6mP9sEsU+U4kWSd/xrdgCR5zLhxsvvbMJIuZw/18o83PMErMwMsz8xyeKaTQKSJ0dD57cHNnG0L8s7MPl5zu5BEj5cOLsNMeLx/405eneylv3We67tP8OTISv513ePsePYimprAlzb+lkR7jRE3hvpEnEAWMvsrOEEFRxGYPPr0XxQz82c3qIIg/AK4AkgDs8DngceAXwE9wCjwDs/z8oIgCMC38Km/deB9nue9+ueeRLCl29uw5ROItj8BFE6OcOpLq9DnRCTLR+YLrkCzxQEPAu2+30p/KoodEigvtpGrEuElBTTFZu5MivXrznLgVB+JTIViIcTWxefYP96DcDKMo3nYrSY0JbatPs3+8R4cRyQSMiiNx/BUl6tWn+B4oZX5wxm8ngZOXkNpaXDj4HG2/3EjVtTlkotOMPH5Id7zzcfRBYutgXF65DDXd6wFYO6urbQ/MswfDj/DXZObGaslaDoy4zu7OPnB+6m6Bh8eu4G9ryxDGyyjPBej/6+GGX58MbU+h4GHm4ivHELu7yV3SQeBnM3U5TL9d+9m+u+30rU9y6k7U7S/4jH9ZhNFs+n7dxepVKPZk8STBCYv0xh4aJKxt3diByAy4hE/XceMq8yvUMgcbKKfy2EsSlPqU8n85jjTt6+g3u5x6gP3s/rrd/nk1hUVrlt0km927OeaO97PN370bW7d+zfYU0Gu2XaYZSF/SR4UTcaaKcq2zr2tL6EIIndPX872U8vRdItG2Y+FwIXAlEx0xCV+quZLF4IK9XYNRxUWpE+Ov7WKSjRjAvVOz28E570LkTHgN+K25gcwR0ddZMNDLdpYERkz7E+glHLTp0UbNm5AQaw1mbyhhWq3D1SRawJyXcAKe/7GOl4ipde4u3M7bZLD56avoWZrfLnrSW750qd47X/dz7eL3Xx/eBuXdp5l+3MXEVhSpHE6Tuw01G+o0MgFSRyWsAMC3Y+MYSxupZFRkJoe2dvqdH9b5txbNAYfrnP6gyqp3QrhKZvgSJHSqhRa3mL8GpWuFyxqbQrR0Sbn36wy8MsGCJBbE6T1x4fJv3UNzbhA/IxFcPdpKlcuJfjbvYz8cjWLvmhy6s4YseMSV31gD19vf43rO9Yid3dx/J42vnbpr5AEl3nbh5s8m1/OQCjLleET3HP2FqbmYwT2hLBD/mapmfAL9+iIHwcjWh5q2aEZl325meQ3+vFhB1v3vT1mxD/gW3eXKA1FLsTCGEkfIvMnD1B4yv8ZPP8CGhlrYkVkBNvDDi345AwPtWRx7i0aA78xGHljgNC4QGWRS2igRHk2DIrHZ7c8yYSZ5F3xffwgv5Vnp5bQF8sz/p3F/Pjfv853c5fy8syAj2L/RYbIWBMzLiPXXUbeIDH4y6ZPwF64edvWcu5WncGfV6gMRNDnLc79lUjrS9KFaIfoiEvkXA0rqmKkFeZXCrQcdKm1SXgiVHs8up+1qHQrGDeVCT4eJb03R20wQWCixtzmKPUrq/R+DZ567Kdc/M8fIfVqgbOfVTl92U8AuL5jLXMf3YqrwLY7XqNqqyTV+gWS+P9D3XuG2XWVd9+/tXY7vU1v0syoN0uWjOQqG1dsgm2MHcpDb8EmhhAILSFA8oQETCgBDJgaDJjgho077pbcbUlWL6Myfc6ZOTOn777fD2twvua63ue5rvfdH3X2Gc2evdp9/9vJWhsAD6+5D4Dn7YAP7XovqzqKzDsJyo0EfiDxjmaITwm6Xmygz9bw29Mqfzit8pZFoDZnO6caAJXTXNqeUxR7sxZh1gLclMp2a3ZKGktC8ntV08Fa8PFSGm5Kkh51MItqvQ5SFvrUPFEqztSFHSxsdknkWthjaaJFo6vUqKC6IqR7TZFiOcOHN+wkIV0CBLNemrRms9Sc5dz4GJVQ4917PkBlPolu+XgNA9FQOvfkhCQ9FpAcbymNrCHxEzqtTqUnsmpq8fBjkupSSWBBciLCbCg3Wekr9kpoCHxLYLcLsieCRUdglTeMAL0RoLWUoYWIQKvZ2D0pnLxOs1PiZsGPL65VEtwOHyPjsLqnyGByDkMEpHQHScQL5UH+sudlhs0i22NQDBpce+DdjB/pRHiqsA7yPvHjJn1PtzCPTRFWqsjuTtzeHGgC4YbYnUr/bS0E2AU1Pv1kRO8zHpG+GLsVqfxSEUa02iTNbkHXix5IqPXrmLWIxIyHdALM8TJBRxanYBEfq9JakmXyHJ2e53wmtusE3S665eOXYwhXEBkRq9eNcWymnWzKpiNZJ6G7zNlJTp7s5Avn3s9Hs5McdJvsdXv4+7vfRawkqK/0SLY3aY6nWPO1k/jTM2runbWRVncMNyXJ3fock393NpoDmVM+jW4V4eAnIxLT4nV0ggjKm0O0utJq+QUfIlj1U5vil1y8HW30fuNZ5MY1iJZLlLA4/ME02cMaiWLAmZ9/iX1bQnqfT/Pk7jVkumvs2Xobb/j76yn84jnaduYp2SnW5aZoN+oU3TROqNMKDC7OH+C9mVn2uy3eufuD9GcrOIFOzbGYryQJZ2IkpiRdL9kY8zahqeG0x3DTGmY9ILCkol1367g5QW1QRTBlRpQhlllTDBPliq6YKeaCpP01Nab1pqLdm9WA+GhNxcKYOlpxgaAjS2VFirmNgvS6OcrjOYwFjfi0wClAsKLJJSsOcbzWhvcv3RgLNnZ3QkVm7Bjh6GdXsuI/y0SaYPzSgjImy0cEyZBUX5XadJr2/gXWtE2zZ6aPRtPirzc+ibPoSfHR3B7OffEjXDW8lwdH1zKQW2DfvqWIjIvQItpzdYJQ8hcD+3iyuIJiNUXM9IgZyhH2jd1HOdbo4MRCGz3pKgndZX16ksvTr3Htk9fzwBu/x3WvfoRPrHmCf3vkSpauneKs9hMESF763BmcfHdI390Gflwwt0HQ+XKIbisd8ux6g8Zqh9hJi449PqkDc5y6tgsvE/GZq+7h3++4isS0oPfOESb+chmV9R43nP04B+q9HPvGWtJPH6O2fTmz72zCvjT2UpdVg1PkrBbVqwSHv7gCo66aaE6fx5rhSS7uOEQzNLnv6xdQutzh4pWHePqB03HalVQhPqXjrWly2YqD7PzFFnb9w82c/tI76LzqEMd/u4mPb3ySYbPIZ+58H0Offw6AuQ+dheaBVQmwyh7S8QnjOnbBZGGF9vp5OjEZseJ9h1mfnuRnr5wDtsZZpx3llfEBwpNJTj/nCCcrBRq2SasWQ+ghbfk6tWaMLX1jjNbyXNO/i58dORspInQtoOWYZJMtKo04yZjLtq5TPHx0DfGEQ1e6zshEBz2dC7y5dz+3nzidrnSNUiPJ/Ik8mzYdR4qIXacG6GmvMF3OUMg2KI3mKezW6HxunlZfmlixycd+dw8n3Xa8SEMj4qTdxkCszANT6+mI1/FDyd5nlyvGiKVYdtL5b9M8sx5iLSjvC70ZEEnx+p4VaYL0mIOTN3DSErtdkDmlEFel9Q8x6gF2XsesB4xfqNH/aICXkrhpiVUJ8ZIS6UekT7Rw2iwqQzo9T5U5fl2erlcCYiWX2Q1xakPg53zShw2Sl8ywNj9Dl1XlpRs3Y5TqtAZz2AUdPyZITfkkDs0w8sE+Nl90iM5YjUdPraKxEAdf8JEzn2apNcuXHr0WvWATBGrtEzMWsq+F7+j89RlP8PTcCvaO9RLWDIy8zZHtv2LZf32M7jVFglBSPN5GrLuBM54itEK+edHv+Mwzf8nG5Yq1dHCiGyFDVnaX2H+kn3Rnne19x7l/7wYyr5lYl5Tw/9jO6e/fiy4DHj28GutInMHv7ad+wSomz9E48ZlP/48Q1P8Rxff/9pXO9Ednrv8r9IkylW19yiApKWn0CvxF+3rpChIrFkhaLgsvKE+mSMBVVz7LQ6fW0J5qMPlMP+suPoIpAwYTc8w4GVanprj91GZmRwqIUBBaIXpWaX/8BROR8jFjHt54ks41JWqtGB3pOhsLKkPweL2dA6d60C2feMzDcXWchRjv37aTW/+0nfiyKrdu+gXv/d6nYPs8tek0S++JcD5RpuGY9Fx9kP7nUxxe6GT+qW4evf4bfGrsSr49cC89eorHWhqfP/g2ygtJhn8MxU/buLvyLPnqs0z/zdlUV/v0PCmJlZWjWPEKh0y6RXNvHr2hrLQjDVKjauKlJlw0L6QyGMNoqmKtVdDIHWmysCpB7kiTyfOSaGfN0zqQIzUK3U/PEaQs7M44Cyt0ckd9QkNw/pefZWdpmN+u+g0fuOqvOHFtRtnSb6rx9U13cmWyyWW9m7hwr4olqQcxUpqNIQIKWp2rUmM0w4AbT13NK3uHiU3rBIlFStlx5TQZJiy0SoPIWgy89QNq6zsURS4jSI0rwyzdjggsQXLKxS4YylCpovSmRGDMt6gtV06QZkU5UNoFtVgUXi0jKnWlpest4OUspBtSGbJo9Kkull1QBitnnn6Egtnk/n3rSR20+Oj77uek3caCl+CFP5zGvk/czGuuzQ+Kb2RprIwmQoasIv968HJ4uEBlbUAUD7h0g6Jhlz94FoUDDSrLEuQO1ZCVJnNndwOKgt3sElhlyIz6VJfoGI2Itt0LFLflSE0p2mtqtEVoacyvsmjf06A6lGD6vJDBeyOmzzTo2O0jvQirZFNdniS/Z565zQVO++vXeO6ujez75M1c1ruJy/ZV2V/v5WS9wGNr72Xovo/wr+ffgR0ZlP0UZySOsxAkqIVxOrQq/zF+MftH+ogfN4kMNd/iRUiUQnIvTzN3djdmLaTZrmE2FO2l1q8tIvUCay4iNa0onq2CRmrSY36liVGPiM8HipqOQkTr3RpGA3Qnwk0KGr2C1HhE+/Ml7KU5vJQ6dBqNgPIqk0QxZGYbpE9IkjMhxS2CVdtOcnHHQR6aWUe5laDeshhuV9btB8e6GbnoF2zf+1a6k1Xe3vkSv5nexqFiF8YzGbKnfC766g5+/eD5DC9u9F3PZXjuqXX4mUAd4oqC1rYGXsXiwk0HeG22l1rTYum3BHZHjNT+IjMX9tDsEnS97CrEzRIkJloUz0iRPeFTXmOQuHSGys4u3FxI/xMB8ysNpKOcWDtfqTN2SZrmkMeaby1g/qiKc2OeMGFS/XKDN3Yf5e5jGzl4zq3cVF7GsWYnDd8iY9hUvRjLkiWGrBLvzyia1b2NBJ96/u2Yx+I4beoAm5jUWPKTQ0QD3YS7D6C1FRAJpXdsbOhhbq1BYzAg/5rEqkZoToSbluQP1GgsSapxMOOgOQFexsSaqtEcyuJkNGJln8qwQu7MSkTXjjmCQyPImAUrlhKkLLy0QSTh1Nsi8CSICC3lc9rAOLoM2f30SvSWIL51lvcPv4Ad6Uw7WfJGk5WxKfr0eQb0Jguhzof3v4e5w23ESpLQUGZIqfGQ1LirCuMgBE2CHxCZBpV1OeyCQv+Vk6VC7c16iOZEBDGBXld/p0iXmGUb4YXUh1NKo+5FrxfuuhOR2zuPaLRACLzuHF7WRIQRXlJj8jxBckLixOP/swAAIABJREFU5CK8XMhpp50kZTicqBaYPN7O+8/ZQUJzKLoZvEgjIV0GY7OstibZHlPv7runLmZiZz9Ol49R1mjbG5G57Xnq121TMQRuiPQCtPkmraE8C8MGTpuK0pE+FA46hKaiJBOBlzEU2lt1CeI6etUBIQiSBm7aILBUoV1dqpE5GRCftjEmyyAEYSaB053CyWokJx2OXxPDLEvSoxHFswOSXQ0+vGontx7fykIlSVu+zsp8CUMGeKHGy+MDbO4b59K2/VybGuWzUxcA8NTdm9n/1zez7PEPIGYs1QT6lxYLT3ejtyBeDMn+5nma12xj/NII9JB4zka8miE9GpI7WANgbmMGLyVIzIRkjisDq5k3xMkd9zEXfNycTrNNo7IKzHmh6LS752kMZUieqMKJCYINw5y8MsHQ55+jft02dn73x1z6tvdx4kZBLtNE/r6NCz71HF/v2s0NE2eS1BzCSDDWyrM8WaLdqHNh8iCbLIt7Gwn+ft/V1GdS6BWNIBESn9Loe6qJbHrIk5OITIrINIgSFq2+FAvLDFpdkXKgng6VPq5dkhvxcNMamqPQcukEeGmDxGiVxnCWVptGYsbHyamGRLwU0fH0NFTqRLaN6O7AWZJXZnQnqxz6WE5pzkqS5lqbzo4qQkRUmzHkc1mQ0PdEjcDSMKYr1Nd3ECu5RAKM6QrVTZ00ujUWTvM4a90x9pW6CQKJezRD7gj85d8+AsCFyYPcNPkmfjf0OB8YPY+pZgZdhlzccZD/PHYmCcslYXhsLoxxuNqFFKpYbHgWbqixvfMYdd9iws7RF1sgpTs8MLaOuOHhhZLV+SJvbXuF++c3cnC+m2v6d3HLwXN518qXWWLO8ofi6UgRceLXK+h6Zo6Tb2vn5x/4Hl86cTW1X/QRSUFlmSB/WP2/86vVmdOsqOxkLyVIXTFN8dUuNFuQHo148Ws/5Iszp/HgT89l4TSP9ud1rv3bR/mbwgE+dOoSNmdGGXUK/OmOrdhrW4Q1g9RJnfoyD0LV2DKyDlbMIwgkrYUYZ60ZYW+xhxtXP8lHs5Os2fke7Lk4WsZlde8Mq9Iz3PPEVta/4QSlHwyx8zs/4s2bL8OfnmH6k2fTd/8U9R+A/G47Y5dqLP+b55Gb1uLlYlgjRSrb+gg1paevDQmEh4po21ZH00La0w3Gjndww3mPcfNLFyAaujI66msQt1x0LeSMzjGCSPDI7vXku6skTI8l6XleODHI5asOcP+rpyGTPrG4S2+uysjBXvpXFGmP19kz2k8h1yATszk+2kmm0KA91cD2dUrzac4bGsGLJM/sXcWJv/gJw49+kO77Tcpva+AsxBi6I6LZoTO/RjD4D8/xzkOT5LQmE16eTbFT3DV/Bt1WBYC9tT7cUGfPn1ZjzalGjtGISJQCUscqNAczNDt0UpMeWtMn0iXNLlP5mPgq592aV5rdUINIE6RGW5TXJZDeYt56pORm3TtreBmT2hJTxW6VPEYvNTGrgtyxkNich5PX8RKS5LTy6Gj/1Ssc+eZmlt3hUFtqMb9a8L4rH+c/D25jSfs8Tc8g9o08AG5Ox6j6aHaAUW4SnRzn1N9u4uKrX8IQAY+PrySIBCvbStw2/DA3jG/n0QOr+eTWx/iv0S1MT+WJnTLx0iFr33CSfSd7+fzWh3BCg7smN3Fqop1/PPOP/OueNxGFgqHOOYr1FAvTadatGufgq0uJ2l0uWnWYkp3i8GPL2PKmA/x68Eku2Hc1p0Y6MfI26aRNGEret/x5bv/qm/jVTd/k28WLeLG4hMaODswatLbXcObiSEdy8pOf+f9PgZpJ90Wbzv8k5oJLaGoqTNmJmFuv07HbY3qrgTitSmshhpFy4XiSrRccZKKRpVRLYdsGUoYk4y4tx8CpWsiqjuy28Vs6RtLFa5ogIlK5Fq2mRdDQMTIOXt0klnVwGiaaGdCWqzMzk0XICKoGUVxxqhOFJm0p5cj7viXP8YtTZ2PpPlJEFO8boLW1wZc338ePvnAtmhOS3DeNvayT0iaLzKXTDGdn2VtUhkpbusb5fv+TWEIVZZf1biJ8bIDJxwbo2OPR/cURXn52FW17lSFQdsSjdLrB0tunmbiim9h8RHrMYXpbjPbXPKyyg5O3SO6dZOHsAUQYkdlfJjJ1ZLnG/Dn95J8ZxVvSQWV5grYXS1CcY+a61XS+qCa1W4ij2T5OwaLRpSlHO0OQnFGolvbuImEkcO7pxG4XJM+cZa6c4u/f8ACzfppaEMMQASEqMqFdr3FF8hg9eorVO95DeCyFn4yIFSUde3zMiofdYWLUA8x5B216njCfItI07O4EkSbQmwFBTGLOu+gLTUTLIdI1/M4MCKE2eceDKEI4Hjgufp9CkLxF7aoII+LjNWS1CZ5yGoyScZrLC7hpDaMRKnfEgkKN1l13kOOVNgazZdxAozdeBeCN2YP8bOJc2mN1/rr7MT579DpiusfR1wbI7xPULmlgvqyMp5b+43Mc/f42rJKGlwlJj0i6bnkRuWKI2uoCXlIQmwuo9ykdZWAqI5XOR0apvqEf6UeLqI8gPmPjpQzMiovwAqorMySmHPykzuxpBqmxkPyeMo1lOVJ7pymd34eTFxi1CKMV0eyQxGfVAe/ifTV+8sdLic8IzItnabkG/7j+PkwRMO1l6dBrdOhVDjm95LQG/3DHu0BCckzlPBJCetzDzeq0CuL1gtKsBrhpqQ665n8v4KEh0BshMlAd/1aHor+/bq7UXNSVFlt4GYtWp8r+sgs65iLCZdR9vISOn1Sau4VlGsmpkNAQi9RJn3qvgZcWOOfVyCZbfGRoB3ZkEEaSOydOJ2U6FBsplmTmATg618Fn1zzCzuoKRt5gs/4VyYN/OJP+x5vMbE3gpZQWuXE8y+B9HlrLZ351AjcnyB/xiE03FeXT0JBNDz9rYY0UKV00gAghe6yJl1GB1KEpic20CJIGTs4gVlaFq/AjxY7o7sJe20ejx2Bme4A1ZeDmQlKnVMGVnIrI769y+ONx3rxhL0c+uZozfrCL+0+t481L9zPaKuBHkrimwtSXxOdJSJcvth8G4LQX30njeBY6HcyjcXp3OMpWP6tjVn2Mso04NopMJQm7Cnj5GH5cU2YtWZPYdAM5UyZyXYRpEnbmCS0dvVSFMAQhiMoLRL4Py5cop09Dw2lT2s7YdAMxPkNYqSFzWaLedtz2BLV+k9SUR6gJxi/SSExKut48xshYJ6lck650neN7+vj4pY8QLFJ3vVBHEyHnJw/Rr7e4rbqRHz1yCXpTfZ6YVuPerKsxp7VCdDvAmKoiPB+vO4fTpqK01NgM0JwQveIgbVcVmW1JkKA1PGTNBl0Dx0WEEUEhBULQ6lZaU+lFJE5UEa4HYYjwA4K2NM3+JF5SYjRC6j0adrv6/aKNNZa2lemM17BkwNL4HEEkqQcWUkSkNZuKH+ec9FGuTtYZfvSDLOsrcfKlflKjilatUF1IToekjlYQtkOUWHQeE4JIKqZBGNeV+VOtiWi0iFwX2vJg6Gq9tF2IIjWOp4oITYOeTvVZ0359nSQMlXNmfxt6sUp1Y5cy94hL4rM+eitg9DKLoN8m/3SM/DvG6YjVKZhN9s334AQaGdMhrnssS5V44Pg6/teql7jt6BaWfsnjgUd/z8Zv3IDRiOi8/QDFt61l4aIWXXdbZA5XELbHwc8UGLojInZ8DuYrEEaIVJLIdoh62+HYKKxYSqs3SXL/NFG1jrduKcaMeu9EEbgeUSZFdUMbyTteAEDLZYmW9iJnK0xePYhZVYV2x/MaQQzmz3FY8d5X8R9dwmNr7+Wy3k186MgJvnD/OzErkkv+4iVagYkhAyQRlvTotipck97DMiPFl0vr+M0j2wkKHrKmY85L+p9s4SV1jMZipMV0Re1r6QStJVncjEI+I11gVDzMyQUiXUPUGoQdOYJ0DK3uIBcUKwEpiebmEfksXl9BrcGWhlPQSR+rIafniIKQcKGC1l7AG+6m2WMpPXEzZOJ8id4UJDaViZseNdtiSW6BU/N5er+uY7fHiBVbhHGdwNKwZhq47QnlRTDd4OgX4mh6QHgqSX4//PqfvslN05eS0VvMOBlm7STD6Tk2pUZ5en4le4s9XDxwmMO1Lk7LTtAMTVKaQ79Z5pXaIE6okdEdpu00K1NFmqFJnzVPPYhxtN5JZ6zGeDPHnJ1ElyGXd+2nGZqcmzzCXJDiN9PbiGk+g4k5btu1FVyJ8ARmV5PhL7WwB7JoTkhgSZyCQWCqjHTpgZsV1JcFRFrEyo8pF9wjN28ldVzHrEa88pUfcsVF19EczjH5bpfbzvwJWyyTL5fWMdLoUI2nqTwdnVVK01lEXeXLLl85RVuswYFSl9L/axHpVIuFqQyYIYMDJVZmizx1cjnZ+1LMvalFe06935nJHNdufoU7X9vMb7ffwnue/xCppE2lkkA3fY5s/xXDt3+MFZ98nocnd7P9ho9if2SewldiCC/AbYtjzqpzq92Totan0+wWtO/3mVurc+7Vu/jTS6fx+Qv/yA9uuZoN1x3gtWIPw/kyr53sI3I1OnoXMLWAwUyZ8XqOnNVitpVktppkoG2BU8UCqaRNPtGiVE/iOMbrRe9cPUFHukEh1mCsmmdTxwRdVpU7j27CaRq0t9cojeWJtzfJJlv0pSqcqhSoNmI8f/aP2Lbjeq5YuZ97XtrMmu/O01iWx6x4fOinf3i9sV5YdPPNaU0en1/NWD3PZDlL4pkU6TEfJ6PR9tw0Bz/TweDdas/y4xI/JsgdrNLsT4FQ+aciBM1VTUgRQHyqSas7gQgi/IRCRSNNoDnqDBIrOkRSECR0jAWHIGkgwojqkhhGK8SoBdhtOrFygB9X37dzmnIQnvE4eaVB984IPlTiGyvvYEdjFZen9/Lp91yv2C5JHbPmYR4vEaXiiFqTQ58Z4MZLHuJIs5vHT6zgwqGjPD22jOe3/ozzXnk/2biNE2hUGnEMPaBaTqq1Jqmck0vVFFcM7+dwrYuZeppKPaac4mMepu5TrSVIJG0u6D/GY6dW0qzEGeibY2ysjd7+Ml6gockQKSLmqkn6ChVOHO4hN7DA/Gya9255jpfKSzm8awkj7/gR675/A34iYuAxB3OmTm11nmfv/D+oQf2/ff3r1771lSXZzdidFrodoNshQUJS+OnzPPr0A9xmDmC/0EZggXk8xtbL9nOqVmCunuSuLbdwx4MX0L6qTGkmy7LeWRxN0jNQRjNCkikH19cJWgbDS4sEkaRRi5HIt5AScrkmphEgjRDT9HF9HSRkM01ShRZOqNPWXidueQhgbWGaWx9+I7dd8GNMK2B9eoKfXfQ43z5yBs89tRH70hrlVYLcLw4ze8UQ+RGPwUvH2D/bzTWDezha66Q93uBtufHXn/8rp19OeSzH+nNHCL94lLv+eSf/cfQMul7ymFuv0X7LC4jePqK4KrrSYy6tLpPklIpL0e0A69URqtuXgRRkjlQBQZC2EJpGZBoYE/MI3cSwAUMj6C9gF3RiCyF+2lJoSNpgYYWBVY2YPR3cFTa1lSGPfPjb3PvZC4g/LKkNWuz71M38285zuXLLbn7y3Pmcs/QoIDAXrXhDJN1Gha+PX8ITrU4sK2B2LI9ZlbQdCKj3aFSHDYw6qptYcRG+6hazWJgaNQ+95WFUXbSmC9Oz0GxBOoWs28jG4qGyUoOWA60WQWkOXejIahNjvolZrGPONhANW4XAJ2JE2ST2kix+UuLHJc0uFdYsA6gNR8iCx1QpR1e2xmCyjBfpxKTHs5VlbMxNYMmAn46eyzMb7ubW05K89PP7qG8sc+j2NeSP+LT95AWO/GgrsaJO18seC2sEA39qEfV3oU2VsZfkiM351PsN4vOKEhqf88m8MkmUTeF0xUmdVBpZq+zip0xkGKHVFepvNEO0piqahDDIHKnj9KSIlVq4PRnMhlqAG71S6TtzEZ+94XZuX38JB59cieYI9n76Zu7+4Gkkr6qxJj3NXJCioDVoRhYn3A6aock37ruaDWcfo5aUiONxMmM+uh1RXqPQL7Me0epSulGzpj5zFrMhvbiiyehuhLGIRoX6os6tGiiTqlDpSZXLqUAEIaGlvi8iALVZhJYkNJTOw48LMuM+lWU60lcU4fnVktxIQLNTcsX5r5I0PX7z2HYuXrWPPY0l1HyLk3MF1nbM0ApM0obNxrZJHtmQ4XdffZnNN57g29+5jvrykLYfvcLFPz7OvqNLyTxp0dxiEz9hUtpsERmKetzs0pjbbFHvt7DbDGpDMTRfMHtWnvogdL3QorosoSJ4EhpuRuKnDZy8jp0XGDZUB0zm1xqEQ/00VuSx29R9gSnxcyHxSY0r37WDntUlvv6W3/Cd1HaW/8rjpfQAL3/1Z/zVH9+KjY5t6fQmVANFEmFpPlUvTkzz+dATV3HZ4A4u7TzAH/Zto+9+QXrUZ26dxdwGDekLIk0VUboTgBAgBFqltVi4+RhzDcTMHEGxRNRqIZIJRLmqmj3NFjRbhHNlwlaLyFtsFhXLyEodY7qCMVpS8zYI0Xq6IJfG7k3R7DRodUoqyzUavRrJSUF1k8uK7iKlXd24mYi2dAOz4LAxO4EQETmthS5DhIgwpc8up49WaHEg7MCft8gch9R0QGBKmt0SEarniU/UQWpg6ESmhtYKMKse5oLzenGqFcsIz0cA0lPzSzQdRLWO8ANotMC2F13CPYy5FtasjTVVRfgBIoyI0gn8thShqVPvM/GSAierERnKBMdpE7QPz3PiZBfzUYxV+SIpzUEIMERIVm/SCGLoIqTkZ7ggWeL03l2M+h2cOtlF7zMtnLyhKPCaINQEUdzEaEUQRAjXJ8jGlUZzkborpEDWW+rdpZJEpTmkpiHCSDUXPB/hB0SNJpHvIwIld8A0VBHYsl9/tiAdozGcxZr3KG4xcbOCRq/GwiqN3p0+zYzJsr84Tsa0eX7vCga6yrQCAy9c1FyGOo3Q4uK+wzzyL+dz+VUv87Prn+DeRoJD73Ohv5sT7+8kNCX5l3VmzlKZlZXVKbqfg+TRMgtbOvF78zRXddBamoGcchfWjBiN4UUU1DQI27LodQe/kES6AWE2iZAawvMxGxHRYA+yvQ1hWkRxA3uoDWshZPo8wfBdHuHH5ijlTSJf8q3vPMD937mQ227dyPj7hvjMGQ/x3Jsky7+mmgxJzUGKiIyuMqRzepOU1uSEJ5nwCoxoOTicIjOinMbnNhoEpoZuC6yZBmJ2AaFJMAyMBZvYTAuj5mJUXPT5BsHEFGGxhEwlEU0HrdqCah1qDYLZMrguYb1OWGugNxy0ShO9VCU2ugBzFSLHQUgBg/0E7Wnm1ySJdEGzR9LqkHTuCmi1a2w5fYR9p/rwQ43N3ePk4y1a96XQW4olgRSKJp8xMR95ma13TnBoZAWuZpBaUqOpa3hrHF71l1LzYnyi5zFu/q+3sHr9GCfrbaxLTxHXPd7Z+yKHWr1q3/FSpDSHbakRxr02/EgyFFeO1ssTJYZiJQatWZLSxYl0lsTLDJhlhhOzLEnOc0H+MLUwzphdwMbkRyPbuaZvNz4aj46v4uD2W2m21dl1bIj4gRiVNUlKZwmMqk5kSPyY2pMCS5CYCxGhIFYSDPzTC0x/8mxap/czeE+N1F2vUj1vCdef8xLfWr+eYi7Je7Y+x9b4KBe9+l6mnSzTjTTFE+1ghDTrMfIdNexaDJEMSKdsDoz2EIQahumj6SFSRlgpF6cSw5YaphUwW0+R3zZH3TZxPJ1UzCXQ4OhCB1/ech+f/+EHOfiun3DToTdw05l3IhKSm684Ay+f4S0/P8RHf/kO2m55HlFbTnUohlWNFPMhYRDpGkFMY26jJH3GHDNtcTRHctgtKDQwHmN44wQAxw72M3uyQM+yObBCdC1kvp5gfCFHpRFnwYljezqBr4qgVNLGdg1sX8d1dbWpA1KLqDfiZJI2k9UsAFONDPtmezD0AKlHuL5OV2cFL5T83co/8Zv921jbM83VS17jEz99L2u2nGLGzmDcmSOKWYhQIaIbrjiCExn4SGLSY9wtMOHk2TPXx4bCFHNukrJpIm11nvfakmRHoDZgEJiS8vpFGVLWVA2LhKaa8EIsyo4kINAWs58jXTFLRMhiHKKPbqszi153CRIGQgiCmE5oSMx6sPg9id4KabXr5F+YZObcnPI3cCIa3ToDD9Xw8iafu+4uPvb8e0inHaaCHCPPDOInNMy6j91u4vRlsLsTVNbnkJ7EH/SxA4OxcoHL+g/w4jPruHnhdPraKpTqKe7b+HNGZBuBkFQ9k86OKkEk0bSQ7kyNVekiphZQ9eMEkUQ3AoSIVLyUEdCZbhDXffoyFU6W2kmnbayERy7WIogkphZSacUw9YByPcHwkiKVJ3roOK3EqUYbQ+kyj55zN6t+fj1LHm4w96aAejaG4VpUhnVKzz78P9Kg/r+Omfk/cUVS4BZMrAUPfa5FYGnE//AiZ+9xGb7rr/Bu68KoQ35onsuveZ4dr65hfKrAdct28eFPfIr/9Y7HcAONlYPTVJwYQkSUGwlqzRgt1yBueXT3l2m4JtVGDCPuEYYSXQ8IQoHt6egypD3VIGb4pBI29WZM3WsEdKVqdCQa+KFkz2wfN11zK1c8cSN/ml3DH6Y3sfJX1/OHC36A2FSh75s6lCyyO9ro/MGztAo6xyvtbOqY5Eijk9Jonp8OPMWG79zw+vOLGYsVN77A3DeGOPX7DZz9+Y+z5MGQ8moLt8ejeM9q6v2S0FQ5aWa5RWrMRm+FOHmVDdo8dxUAyQkbLx9HRBHSCxFNB6PpIxJx7H4VPxEZGsKPaNvXQPghXkaj3h/DblPGRQAdLwusw3E0I+TiH36WsYtNimek6f7us1xz7BKOX/tjXi4tIdNVpxlYrxuUBJEkpdn8bPxctrcd5du9TzGcmkVE0PWii5tSJk1mVWkP9VZIsz9JmFfoRGTqoEsiQxLpksjUFSoghTogN22oNRRiuoiIEkYQBEjTIGo2iRxHUfvCSN2jSaK4RZSwcLqU+L3eo1HvE9jtUB1SmVTmgqTuWGxfcYxX9g3zbHGI47U2pIg4Oz/CjtIyHp9YwX3rfs1lvZt4eHI3n5vZxD1fuBjzLSXq/TrHv3EWXc9IcodD7JzGio+/QG0wzuhlcaavHFKLIJA55RIrOsyvSRHEdNzhLlpLssTmPMKYjjFZIYjpaC2lnYoMDbctAWGE3ZUAIUgfqyNCRU1q9STw4xp+QlIbkCz5/l6afQEI+O1l57D81y6E0P9YlRW/vp4HH7wN460VgkjSoVdff3cx4XHzsxfy9at+Q82LUS2lsDvATWmU1+ikx0M0B/yEoP+Xh9DciNoShX6KSFEgdSdSlGxTjVk/oRGaqmOvzJRCpXGUqujzUjp+SnUeQ10hU9KL0OwQP75YoEqB5il9XLyo7kOouKBav072RMAdezZzotqGOVjnm7+8FlP6FOspCqkmU80MYSR4e8eLvLY54uHJ3Xx6ajNX3vUpvLRgzU1TrHjJ4q5bz2fw7iqV5ZKgYZC7cZRWd4hZifDjyrEvdUplsQaWcliuDGp4SUhMCGY3JhbRbxXNFEkggnq/wEsJqkt0zEZE7miA9CLsNqVv9OMQKwlkS9DqCbjzgXN4cOfpvPXHf8fgihn+9PtfsuLWGmtuuYGfXn0LiaMmm/LjeKGGKX10GdDwLSzN5ze7tvJfl9zMGjPBFgukA4mTVeyCjjWvtHqBKUjMuDR7YwRdOSLXU2ihpinaPBCZBiIeR8ZiCMMkqtUJKtXX51gURQo5XbyChQqR6ypky3EJ6w31/UKeMJuk1Z+m1a4ryndHhN3p47QHOAVIHDXZe99qNl98kHA6xlQ1w+eWPUSAwBDB6/nKYSQ5aPdR9DJcm9mFEBHJSeX27FvKkdyoRbTaBXZe4nYkX9/l/hw7E2lCrYERRDF98UO1folaE1xPFaagEEVdGSNFrgu28/q/E0VEuqZC1GM6doeJUzCIdKXDttvBS6ns0fSpiOJ8mks37mMwP89oI08liNMMTLxIwwkNDBHw+0Ons2thgN2Ogx0aPDmygtxBmF8dR3Mi0hM+WktR6GsDuur+a4IoZiAdHxEoVFSti6GK1YqrXFwRixE1mup3//Pea9uIbAaZTiF0nci2//se0yDMplThK9VYnl9pYVbUmI4kGFXB1Hsd4jOC13YPMRCfRziSJ15Yz/GZdmYrKUrzabZ1nGQwOcddvzmf3NMnmLBznLXnbTRDi8j3GbsUEhOS9Ck195c8HLL0y89iVRQNu7i9E7MaoDlKSmAtBMTHa+gVh+ZQlsR4Az8Xx8/ECJIGrYEMQUJFH6FL3N4Mfnua0NTQZmsI1ydKWDQHFGVdhBH9j4YU/vkUxvfaiB+x0OcMbvyPG/joF+/myu8+xrL/nOSab3+Whyd3c/w/VqPL4HVtZT2wyOotHppZxy+K53FBPOR/ZV+m1ojR+bJPoqQOrLGSQsArgzoTlxSI+jogCCAIiAydyNKJDI1ICCLLQFrWf8+v2TJhparuB9V8dhbHYxgQVuuEjSZREBI1W2rP1HVEOoWfj9PsT5AoBVSHBPUlIY2BgIkLJLG5iB1PredtG3ZBJHjoxY2ckT1JaOqEpoY5Z+NmdZpdOtYDL6E90csLn34DoS740DWP8MqW3/PGlUdIxFxGZttYni7xxbd/iAMfv5kl8TIfG3iKo60u7NDgkYUNmNLHDg1yRpML0geZ9PLk9QbD8RIJ6dJlVEhIh4UgQUbadGhVClqDbr1COUhSX2RrJaRDSrNpBQa7a/38bsPP+d4df0E9sMjEHIbu/SgjzQ7evP0Ver/3MoWDPpEWkd+7QKtN5T56aYH0I+JFl9Skxx++dBMA6cun6fzZK4S7DwDK6XjFr66ncqTA3152P89tTbPMSFGtxfFDSamYIZIRRtwjnrGp1hKgtmaqtsXapVNILcT3NZyGSbgYlZUFg/6WAAAgAElEQVTurtGRqTNeyRIEkumFNF7TxLUNelMVWrUYUkbsb/ax/Z2vcPml70AULe6e3cyfjq5m9e2jdN78LI9vSHLghpsZ/crZlE7TWVipJDnSCzGLDczJBeZXGQhfsL3nGFpNsvSPFRJHLNasnMCPJCOVdhbcBGefcZg73/5tJqfzNBsxpIgwjIBYzCOdVHmomYRNGAl8TyOfaOG0DBxHzQXDCAh8DT+QSBlSqiXxfA0/lGgyQsoI19NxHQMpI+KGx/LCLP9w7zu45exfEdM8fnLwHJa86ST7nl3O2P2DfPyrtzN5no4fl0ydY+FFOhoh3XoFN9KZsrNsS4/w4cGdPLxzE1cM7Ffn2N0NpacvuoSaIF4OqS6D1ChUl+qLOnyVB65qEWUUZ1XUHAsMiXQXGVt1H+lH6I2AUF9kqhgSP20hfMUw+/PaKvwILyEJLIXWOjlB+exesicDNDei3qvR7BEce1cGLyH556+9j3dveJHXZns5N3UYq+wQn2opJpousOZ9zv3C83TumEWzYTg5y9s6XuEft/yR7z95CdnTZwGYXMjwz+vv5dy7PkNlMa7Md3WiSBBFEEaCihPjRLOdopOmI15nRVuJrnSdXNymPdUgaSkwZLKRZd5JkG+vESyO15prUYg3mZjNocsQ2zXwfY1iPUX2wmkmD3cyV0+Q0Vt8ZOwcPnjVo9S/Uqfndot/esdvKW3U6Xqxxf/0+v8EgvpvX/v3rwy0n4Ef0zD2n0QXFiPf6Wf/sysYvN+h1aFz9ceeYu9cL5UgThgLsWIeLxxaQXVNyOl9Y8z5KZqeiaGFpCyXCIGUERECXQvxfB3H1/FcnVjMI4oE6bgDCCzDJ2b46DKkXFeZTTHLoz3dZCA7T7vVoGA12VIYZXN+lF+Ono00Q06d6qQ8mSW5rIKZiDBjAR9794P86aUzsH4YZ/5HWRJPmbRfWCRn2lxZ2MWuoJ87t1g88fu70IXGO05cSPKfNY7++wB2zCKx36R8mjp0te1aYPYMS7nFVZXltOaClzMJ4hqBKUmO2zgFAyerNFF6K8TuMJGBIIzrRHELIrAHMuh2QBDX0Fs+kSnx4zpezqTRo+HkJPPrI0IdKht9Ol4MmTsdeh7SafQLDn/wh5y5bQd/97lZ3l5Q2Z23v2cj7mUBXckaMemT0Fyc0ODHz7yRt615la2J47zm5vjVLZeTHo1odmuYdWVEYtZCcrtmafWnCGISJ2+CZRLpktDQkEGEdAN1UIxASkmUSoCmDD7+TC8UUQS+DwhEzAJ9sYMXBJCMK0pb3MLrSGN3xbHbNOp9OoEFsbmI2DwkZyLmNkasP+cYx0d6GD/Szd9c8hC6EbEuM8WRehcTTp7OWJ371zzI5ls+yeDXGvTER/jfL72ZIDLp+cY8zaUZEjNgd0jEVXPkv7AHpMbY+/voeybAyUmkL3CzqpsZxjWsSoCX1YgMiZvWiBVtnEIMY8EhTJi4BYv4yXncjhSRLkCT6A2f0NLVQaw3jmaH1PsN7IJGYArcnEBPtWOf2aL/TqitzJH+3ASlmRwv3PRzHrpxCb98cBv+QDtnvmUfPcYCjcjiYKuPnx04m/vO/wELYYy77jufobsc3KyBnxToLWUOY7QiMsdt5s/qprGYwWi0Fru1i0ijtkiF+TPVMYjL/y4OpCBapEgi1Ibw5+4kKE2qn9QILEloqqwyJy/x4mLxZ0B6PEC66uc1ewTBZRW86QRiZxrbtwjXNji+c4iBlUUu6jpMzmpxpNLJ7m0aD0/uZsqv828jF9H3vj1Mv6OP93xpB7c9uB170MO3kvTe9CzZT+qcfHYJel3S3NoicHUaA4p2HxqC+GykWB018FMCvQVuVmn/nIJ6RrMKzR5F10VCclrF8zgF5ULc7A2JljeRS1oYg02sNpvsn+IgJEO/n6O2LMHXLrmNbxW3csZ1h5n9yyIf+MxRfrXnHO654I/8vLiWhO6RN5ukdIf7nzyDt575Cucnj3PMF1z6yxvp3BVSWaGaGmYjxKhHdPzxKNWNndhtEjdnQS6DEJIgZSH9EBGEyJZDlIwhEchMWtE9dY3IU2wSFpsjQtMhChH6YrEXhmi5LDKTgUwSb6CN2nCSRq/G/BqVNZo7JIjNSjInYGGLyx3X/gf/dfBM7Afb+LsP38GPhl/kkUYvbqQTRpKEdHmotJ4dU8t4U9d+VlrT3FI6n+Lvlyq0vhUhUPSs2HxAasInOa0cFe3uGGHCUnRWXS5qSQMIIpACEnEwDNAXi3OpEH5AHTiEQBgGQkowdNUUMtTaGuQThEmTZncMLymx82qcp8dDpKfylevLQpZdepJSNc3xcjv5VJPDM10sz5cwZUBas5n3k9x1z3l84sKHeVN+LwNGgw985xPIsqHC4edUZp4MBG1/PAjt7Zh1leW4sDpOZJr4GZMwpgECzQmQTZdISqJUXCWVWwZCSEUL1TWF/hoGIh5DSFXsCNNEJOKE+TRBNoHTlaTRa7Gw3KTZLdEcFuNtfIyWmo/NuM4N1z3IQP8cry300ddb5n+fcQf3HN/MG1ccJZ9q8sTIKmZ/t5Rdf/9DGu9oUfQytC4oMvvufo69ZRj9taRaC5KCzt/uw/9WhLmrm8ZAjOKZAj8paPZo6A1BbalGYjYkSJrodRc05c4cWhpIZfTlpTXiU02qa/PIQCC9EH2hBbrELyRxuhI0BuLUBjQWVknmNsPaa48y8e8rqPdqdL/YItIMFtYHjBo5nrl3C5qM88y/fI+L/up6dnz/x/xqdhUhgh5LoRMPjK5DCLi+/0mWGwFveOajWHsTi800sej8GZA/1MRoChCSZk+MsD2DRAdDU7KBuoMIQ4TrIywTmU6rcSelapZEkaLc65pqmkgNhERapnqHuoZIJBCWBW057KV5akstnLygvF6SmBboLUFiWqI5gje/fydHybNv7zAfOHMHP950F98cu4Dw8SRIidMZozKkkyyGlN68lOCZDAJBvV9jf6bA98c2ko3bIAWr2oo89tQm5i6McHPV/4e69wq38yrvfX9jfH32tvpSr5Ys2ZZlWTa244YpoYWWUEKyAwTCTjsJ7J0esjehbEggITsJoRsSqqmm2MYGV7lJlq1m9bp6mX3Or45vX4zp5XN5Ls5znhPdqKxnLq1vzlHe9/03fjy9HWEJ5oI8RUtT2CedBoZQmEIxHxdxZYQjY6pGlxCTstnFFIoEyYjZop161JMsYWqSkwER2hjHT21mwhJKCAyR8rW53cwGOU4v18jmAq5Ze45znQqnvriVuQ8UCUMXEoHbtPBrBiKBxNPndnba575vfIkr738vZm4N5X9u8pPDD/DrfzzLB1e9jtHt87TaGYafFHzmNQ9w8m0l3vX4q9i+eoaFH6zSOeFmiuklBA2X4ZEmE+PL5HI+C/UC8/U8lq3lYqYT43dcVg3VQcD8coEoMsnnfExDIe2EUqHPntp5jtVH2DE2w+nOEMcWR7Be3aehHG5edYLYNri+dJpP/flJ/vXCa/nmOxPKTy7x+n98ltZfljE6AXHRJah5TL2sRHdrSOmw5IAaY3Sf4NIdLmpLl7mZMkv9DP3IYjjX4eClSf7j7LXcsPkUF5YrBJFJkkg8J8IPLYQAP9TNaCYb0Op5JImBNDQlKkkkuUxAYylHrqAbWSkhSSSOFWMZijjRSF3e80lTwam5IdZsnOfhxmbeNLqf57oTSAEfe8nXeeCBq9lz3VGesUZpb09Y/dmAnW88zbjV4LA/yVm/xj2HL+f+ozuJypKkoDgwt4qR7ztcus0GIenXTIwwJTcVkL+gKd4yEfSGDZQlQWrDPJGC1VUoW5LYAiEGhoHm4E6QA9deP8Gv2XqYHut/j3LmgP2lm8qgrCVkUVZi9lNtQLfGYOjpNpgmmcUUwxdc9u4j8Fmbw3sqZO0Qy045d+9qZD8mLtgs7jR5359+j5+/8SqQkta7A4ayXb56Zg8/n9pKvtojjE3W1OostbM8/bnddCcgLSS8fOwoQ+UurdilnOkjZUrHdzjfLFPN9AgTE8+MCJUG6WJlkLVCOpGNH1tk7Ag/sTBlyupCnQvLFbJOSC+xSJTE7zi4mZD2Yo5O4PDp277CQ8ub2V29yC9mNnH0i5fz+Fu+ws+2Ffjm128lO5Ni/94c5+7c9/+Oi+//F78K+Yl0957fxVrq4f3TEgefXU/1gGT4F9MQxRz9H2OMjtUxRMrUuRpOpY84mufqO44y0ytw5sIwomPgjPW4avwSz86O49q6CbXNhERJhEiJE8lovk0vslnsZBEipZbr0g1tEiWwDIVn6dftrEzRiDzm+3luGTrBvXOX0ei71C+UyY636V7KU1zdZF15iXONCh/e9j3+Y+Fanrq0hi/v/gJvf+KdjP27y4/+5R/5i7kbGLObfPXLL2X8E4/xg6mncITF709fw/HdOpC4+eONNJ8cJrFTVt0fYj96hPDuYcJ/HkNGKf2qgbeYsHClyfAzEfXNFuUTkUafc3oz2V1Fe9LQKMlijNlNiHLmgDfPIIxauzhGGUGc0QVGe40ODzY7gurRhNyJJiJNmXppVX99Q8KZ13+G+/sG7z/8Jro9hySWWGddxh6NuOl/7cMRGkn56olruHH1aW4qnmCXc5HXf+n9KEMjSt68wGmkeMsJmfNdkqw+5KKiRWdU6zEBvOUYw1dYrRDR186SIhggoZahKW2JpiWKfgAvoB1SkPoBwrJI8xmUa6MyFmHRojtq6mmUrV3YRAJGqBG97qhB97YON645w5Dd5kfnt9Npu9y06RTd2CZrhphC8eADO3GWBa9862M8NLuBfVfcxZUffR+JC/0r+giRouZc3AXJ5Icf48S/7iF71qR4VhE7g2JuVOAsax2m1deiek0zktiNiO6EQ+QJMgsJznKAP+xgtTWNUFk6zoUU/Kqh9ZwK5q+WhLUYd8bCXYDMfELpyWkWf2mSfk2bhtRf02PD8CJSpNR9jagU37zIHfsuUDE6HOiu5dGZ9Xz8sm9zOhzm/uXLmP7QRhobNSKU2LqhB6ge7jK/K4db15TAxNKDgqAgySzqZ7U7SuuYB1qnxNFRMjLWsT/aJXUQCyLQbnOpRl1jd4CiJjoLNcroaAUz0MhJKgVhQZJK8MuS9npFaqekMkX6ugHJXpC0Nye86toDLIdZ9k+tYrzc5P5tP+DfmuN88vBtrH7TIU7/3V5e+Uv7uXvfLsyOZPSJhPzTUwx/u8Xhf7scq5tSONFGdvqcfdsoVltn7zp1/fvKvrIhLOn3J3dBgNJIiYxBmYDUzsVxFsKibl6EgmRSX9DD99iUn20gpuaItq9h7toMYQHMHvza2x7gaHuMpx7eCqv7/PKWw9z37T2EpZSrXnKCVV4dR8Z889gufveKXzBu1Xlzrsn2T7+POJsSTYZknndwF1KcdkrpyWmisTIyjPFHMvRremAjYvCWE8xugt0MkY2uHvCEkaZ6ujaEkWYwmKZGT/u+bhCkIO37iGwWijnSrEtccgnKFu1Jc+D4rJ2alSUwe0rvh5rBpnc9z3vHfs6o0eWzSzdw/6XN/P32b9FNbZ7prWXMavCF89eTsSLW5xd5S/UJ/vTErzC/VMA+odey2YPMvB7QZacGlH5baifGgoEytNGa00x0aH09QIZaAy1ipRs5SyL9aAX5EEmywtJYocVKSVLMklpSD4hq2lgoHsQgmX460JDrtdFYbxLubbN5ZIGS3ePAzCq6dY+RsQZ7R85hoDCl4rvHd3Lj2jNcWzzDVmead33zd0gluJuaxM+UsFuQm0rIXvLpj7l4s77WPrkGypH4JQMEuMsJMlQYfoLRj15EhmOFck2M9uC8HKCsoueTvqBLValuuvMOccYi8bQMQplCm+P0tHtl4kqijNacd0ck6W11fnX9AWpWm7umd3FhuYzfcLnx8uOoVNKJHL636R6CNOJ9F2/h86sf4WWv+3Vm/izmuT1fY90P3w0C1t6V4iz26a3KIoOU+laL4ad6WMs92lvLLG03KB9XmD2FXzFIBRRP9wmqNqkhkKHW7dtN/ZkZ/ZjEM/VzGfoZUlM7bSa2wFtK6IyZxFlBbiohM9Ons8rD6ijqm7VZkbLgL159FxLFXz/2Oj5549d5XbbDre94J1s/coSsEbDaWeafj96EYSg+tOP7vC7bYcvD7yC5mCEdDbBPeBTOabOx3CUfs94jtU2SrM3yNo/E0T97bibB7CWY3Qij2X/xXhPixc+r3dNMhyh+kSlkW6S9vi6mKyW9RstZgqEMQdEgzGn2hlvXw5sXtHbtSYPW9oh37n2Y23NHmIrLfGDfGymWenz1ii/yvt/7A4xAYQQJd/zvh7j/N6+jN5nRXg1/9RwHP3ElC6/1edmmY/zi4kZesfYo33v+Cn5758NYIuErZ/aglOTKkSmCxESKlDiVrMksk5EhgTIZtlu4ImLUatJVDgtxnl7iMG7XCVMTW8SEqcmEtcxSnKNk9DjmT7AcZ7kud4o7Z67jYqtMvZXh+nVneOTkRnavP89st8Cm4gIPntnIyHcdwrxk+Vaff7/+c/z1xj1c/OZlVP89S3vSYOTTj9G/Zx2vm3iWf3rgpWy4K+Tsqx1OvfVf2fbY2+m3Hewpm3Ai5Ge3/gNfrF/HN4/tIr2YIa5FyJZJZeMyyycrOsN1Kc/YaF1LBkRKP7LI2jqL1ckHBE0X6cVUSl0MqQgiE9eOmMg16UQOOStgqlPkv6zdx53n9+rm9lCW/kSCUQ6IWzYyG/Gzmz7NOivHNQfezOJMESsfULgvS/Xz+7hn+iB3vPE3iAo29k+fInjFNfhVg+64zlJv3Ohz2eQsR05MgpFiZUOS2MAwEyqFHkKkFB2fnBVwqV1iuZXBcWKiyCCODaTUESueFxJGJkoJUiVw3GjQ6Eji2MA0EwLfQhqKjBuSKN2kFl0fQyiCxGQi2+RUo0Y3sMk6IbVMl1trx5FCcaY/RCPyUKnk0Le2ISP44h9/krvbV+i6Ofa4a98eNmyd5trqOR5dWM/5E6N4l3Qd7A8JDB+8Be2DEeUEmXmd9ww6/zqxdDa03Up1zF09Qdk6v9wYnOeJK7AG2nDtIaFQjlw552WUDtIGDJSpJRZ+ycDqpyhNwCH29Bnk1RXZsx3qlxdY3KVNPlMzpbq+TrPtoaY8cud1ZneUE7zvD7/Lt95+G0HNI8oZPPLpz/DWs7cw0yuwozzNdL/Ioelxblt/gp//cBfjN11itpmnN5fFHeoThSav2nqIe89uZevwHMt+lmbfxbUjCnZAP7bYWZmmFTucbAyRs0N6kUWUGFhGQs4KV0wnPSfEsWIW63mSSGJYCiEVE9Um860cSkk2DS9w6MhqSkdMWhsUZk8wuXdqxRBr4ss2D/3kv//n0aB++KOf/ODqyi7S/Uc4unsH+ZMG2XmFse8Is1+ZYO+6s5ytV2n3XOxcSHQhx0/e9nE+8uzLqLeyuNkQqxDidxymzg5THW3R7GRIlIEfWjhWgiFTmu0Mncih2fVWNks6oKamqSCITUquT9ntkTUj1nlLWs8wtYXZhRL9pQw4ivGhBsVql1bfJeeGOFaCMg3OdmvMzJa5e2kn1685R+PKlI8+fBvv2v4gT7bXo37rDPdMH+RB32a9lfIXf/daHv7h3Vz7+6f5/Onrcc7Y1A4lNNfZvOIzRznxsct1IZdC/mwHq5dQPtQhtU2CokHhdA+RCqTSGkq3HmH5kD/bIyzbOvYgVChbIz5mX6EsSXdcG3e0N8WgJN6CYO23FrBDG6cesXBNnuaWDHYrJSwK/uoN32Kn0+dvZ17CYqApUZtHF3j0pV/nb+RutkzMkjVCvnRsL+/d/jDjTpOS0eO3vvfbKDslGQ9JU03V9BbAXdLN5gvCchnpTD7N+tdOakaoQKGLSNsAqb+aOqZuTBOlL2cpB6iH0IWW64BjE1eyhBWHJGOQuPogcZsKd1nhNCOtO7C1Rqw3LMluabGtNEsr9lhbqDPVL3Lq+AS3bTrK4/NrWV9Y4uTpCR5+9ye4p7WZ7266j5eNX0nh8DL1G0eJlYF72qZ0AnLTir1fu8iZfWtZ88VTmKaL8gysvmLo4QWE7WjEEEHmUpeoZOsnTwEpcFpK6y9t3dApU6JMidWOSBwDv6qnv1rDJ3GWBeUjgsqxEJFqbU1zewEZQ24mwS9LgrXahfrMgVW8+oqDvGlkP3vfe5Gecni2u5pffGUP773jXk4FI8xFRfb/41XEnqR+s4+sW7r4rQMSFnY5eAt60MAgbkNGOq80zmiEFQlWR5FaAmVLjEgXj5avtaciHTxfMtB9hHptxoPMsSin3ZVlAk4rxWkrUkMMsiw12tobNRDomAMRC6yWJMnoJtXqCDIzgsz2FkXbR710mvs++iAfX95AJ/Fo3LpM8ZEqW9dNc+/xy8BWiK7JujefIXiNycw/bcRb1Pqs3rgDrkdtf5s44+APCXJTisySIrF1vprTSDE7Am9eX4IyZiVHTUYMJqiCJANxJkWO+SQ5RX6/x/gDisLBWeJqjvZVozQ22Zi9FBkLcrfPMZLp8PDFDaTLDqIc8vyRNSgbSsdhaNcCq706d+57Cb9/7f1UjA4ZGfHK7/8WdktgX90AmRL1bayeoHSyT2dzCeUYOPM9zFakGQ2dFJHqPDcZpRihzk7UtF+J8EPSnAuGgXyhcM56CIRubixLN6fVItFwnt5khsSVKEMgUoG3qMgsan8Bpx4RFUx6wwapCVv3nOO1+RNcSHLs8i5wb307P57dwWi+gycjluMczyxM8urJw2zxZsnIkG8c3UP2iEtvdQxKYIT6Pc9NRYRlixdQRLObaNS4p5sUhEbojVCtoKMY2o4fS8dfCV1ZvsjUGCCnWCYq5xEOeURFG2VJUlObF5k+OC2FEagVI40oJ+mshsraBmOZNlFqEKYmsRT0fJvRfBvXiPju81fwX7Y/zhpXF+7NxONxtYoAiRKC0Bak4oV4GHMQoxVo+cOAEu+0EkQqBvS0WKPgKf+3BjVZoTiLgZnSC/IA/R4Y4FjEBZew6mhDs57OMnYaWmNuNyMSTw8jnEZMfYtFdzJly8Zpxrwms1GRYbfN4dlxpJPgC5Nrq+d5+NIG/uuqQ/xLYz3bstO89v638frf2ceZz27lb8Or+KOX3MuRYIS2yjF3k0XhNGTOtckspdS3efQHMSe1QwHdUZPsXKS1X0GKEFpGkBp6GBTlJE491pRkQ5J4hmZmpNqrISqa2iCnrJvs7EJC6XgX9/AlVK0AQqIcgdWH1saU4klB9cplzvpDXD95hrtmdvF0VOQjb/k6z4cjVK0Onz9xPbeuOclrJp5l1GwQpF3uPHwDk1vmGSp2WOjmcJYFRgzuYkB/Mq8HCL0QtwVuXa+xVA7WZpAggxgMg9QZ5JtaBmlmcG8EoUZUU/T9JyXC8xDZDEk1TzSSJyxq3Xzs6Vxpt6HILESYvUQP/kr6fQm3BrxjzWOcjkbIGz5Ldo6pRonvLVyBfdQlyhi4P3qas0/tJio4KFvi/eBJLrR28+a/+in7Tm7mbLfC5pEFnppZw/M3fIU7l7Zy79Q2rhqeYjzX4lynwkynyFi2RZwaNCOPQFnYMsEUKbNRET+1uBBUSfWJQk85SKCrXFqJhytjwtTieX8cX1mEyuTRxkbme3lafZexcps1uWXW15YoWD4b8wscb43QOFYllZLsrMJcsPjuoWuZ/FiXzrfG9d1REkR/7vEf27/M+7/yG3jzkvzXn6I2nePtv36Yf/rRDbqBqUVM3G3y5aEd7D+3FiFBtE3sRZOoEtPrOZCNCaZy4Ck6HY/WYo5+atKdytPGIpMPqOR6RFIiZIppJthmQqwktpnwitEjbMnNk7NCHj+/nicW15KkknK+xzIOmzdPa/OlTMKZ27/Izft/g0+d2UXWCwhO5zHmHBCC1gcKfH+PQbJ5Euu+pzn7ketIkTqje2Bu+Jdv+jZngiFmzg+BEiRCIC3FSLlNo+vR7Tv0YptAmYznWkgTWl1P1ykixXMjXCcijEwsK8E0FWFkYhgK147p9hwMI8U29dccK6bgBjim1jq2fJei67PYzTKSbXO+USFJDMaLLfzE4t7nt/OeDQ8SCIvvnrgC01YEkxE33HiET37+DVx51SlAMGy1ORINs6M2jSRlzi/QjBycKYv2Hh+VaL+F3hiUTut94Je19tiIU0xfYfWUHpZLzciSsa5njEjfDzLWzLHEkytDdWXLFQ8N3UIIlC3wy+bKYFoqSAbMKcvXDXJ2Tt+dja0efk0Q1BLM4T5mPqK9kMO85BCXE4b3p9Q3G/Sv6TP3eoNw/TDLWx2MX13gH752C+nXCsgbu0x3S7xy5AhPL67hzJNr2HrzGU7PDWHbMdJVKKU/r1P1Icr5HgqJY8S0AxeVCiqZPtPNIpjQCj0cI6EX2RgiJQVMmTLfztPr24Qdhyg1mCw36UQ2UcchlZD4Jt3IppzvkXFCzs7W2LP1LOrbeeo7BXLcp362QlcalAp9FrcLlr/18/88CGrRrKVDH/ozZCQYfTLSzdd/PM6Jz+3msg3THDs+icxG3LTpFA+e2MSv7XiamaDIuXaFREmWuxlKmT5JKggikygxqOW6SJESDKi9AGP5FmFicLFeIuuGGFIRJwamkZCxIrJWSGugYe2GNgvzBUgFhhszUmlhGwlL3Qxj+TYjmRbz/Tw5K+Ca0nn+/fRu8m7A9HSFcq1NrCQ3TZyhn1g8cHAbxaMmyS0Nrhq9xJ1rHlrRMJ6Iurzs3j9EhBJvtEMQWKglh9FHBO3VUtvoH1qmsbNC7Ao6qwTVwwmxJ7BbiuZ6k6Fn+/hVm8QSyCQld75Ha31W090WAqKCBSkkrsTwFYmrufGmr3AXNGxpzreIh/KERZvOhH6/lq6PqA23cL5Ypv7WDuVsn2bf5bXrDvG1w7tJE8HQzxze8ic/4R8evoP33/QTotSgZPT48MGXYxzLEdQSKESkiUQ2TLw5SWY2xW1ogyetmclPqzoAACAASURBVBI4SwGpKYkKWhfgzfYHGi+JCBJkGKMyNsqUmC3/xcUThCsGL1imLkKBqJIhLJo6p7MRYrS0VkdlLG08lCg6EzpQuXV5RGW0yZVD0zQjl4wZYoiUx86vY7La4P5tPwDgz+Z2cs+lrXz/ii/wztU30Hz7XhZ2gbugUbt0T5PeYob1G+aYfniS3AXtuuk2dZSFMgV+RVA9HNAdszF97SDsLeuIC3cxpL3GITcVEmVNUgPchQB/yNGIr5/g16xB0yoIcxpplXGK3YgIyvaKO3K/rDOE22sE3nxKZxW4lzeQIkWlgu6pIvlNDX5r4z4Otlfx1qF9HOivJSND/u5nryQzbdAfVnhzksTTehazB1YXnLoiygrsjn4+s69DqpWlJ/N2R2mtcTxAlKKUKCsRiT70E1vq7xeowbRRaz+MQDexyhzEz4QKEeug7FTqQ98vSexuuoKstrbGFJ43aW2LyJyz6E8kyL6mwqPgFa98imNXx9wzfZA3n7mN90/8lL9cdw3VR8uszy7y3W/cCEB/S0C11kb9sEp/WNBfE1J6xgZ0kxlUtJZz7HGf5S0O/RGBslLKz+vLqz+sdV3lI4KwKDB7+nW9sRSrJRj4h2E3dJPgNFJKh5aJix7dSZf6FgOnoTWLcSYlWq/XeKXU5brRs/zk/t1kpwStTQlWUxIVFdV1dd627kn++dBNvG/HQ0wFZXZkLvLJ47fj76/AjjaVfJe279BezGI0TQqnBMWzMakBVism8QzspT7KNumNa81K9mJvhaokW31EEKJyGTAEstl9cb/1X9yHadbTSI6UJHmHoKajnKxWhDWrnUhf0IDLSNFa7dBeKxi/8RK7qxf4leJ+LsQVXBGhkPzH3LWYQqEQrM8sMmy3GDJ1nMhf/PwN5E+axBnoT0a66eob1A4IzdRYUpi9ZNBgpgNji5SwaCIUWO0YsxsNfnBdhCSuiYwSZCfUmk5TIvvRiqZIubbOPzUEYdlFObqptVqRppkqRZJzSDx9BnVHLPyKzpaMNvQZrrbIWBFDXoeFfo4zZ0Z4yzVPcNePX8JtdzzDzuxFVtlL/M8Tr6LezhCHBioywJdgpGArCs86mk7f1U7FQunYJdCaJ5GmxBkDq6UbNDEwfFK2gT/i4S74yH6k0WJH6xxlqN1kVcZC9iJSx0A5BiJSukmSkqhgI4MEDEGYt+hXDZQN7dWQbuxh2TGryg0yZkjR9skaIWc6VVwjonvTAvdMH+RT9bW4IuJj+17B2Vd8DoBdT/8qrZNlVDXiDTsPcLpT4/hPNpG9YYHuI0MIBeWTyUrmYPFIg86mIiJNCXM6QsxqxzoqZL2NEWiUd2WAVZM4zXSFoWG3EpDgLAUYzT6i0SbYMs7UTS7uMrjLiqAoaGxNMfs6J3T/1d/kPZeu49nFCTq+w0SxybnFCsdvvJN3nL+Jhw9v4dptp7m6eJ419iLnwxr/9pw+Uxw3opjpM7dURF50GXs0IcxJsjPaFDDKW3hTbZSr7yS/ZuEuRtjzXY3eq1S7NNsWKudhNLsa0R+wGtIg1AZLrqOHs7AyQIkzEnc+wOiGyKUWqlogKnsgIMqaLG8zsW/UurX3bXyI5SRL0eizGOU52Jrk+cVhkifKrHrpeeR7HOKhPHHGxPrZfs587DqSjEL6kiSbUJpoIaXiL7f+mE+fvxXPjChYPstBhorTw5QJnhFxqjXETUOnON2rUbF7GCgCZaEQeDLUWkeRkCAxUAzbLepxFkfEBKlJL7G52C8z18tr1klGD3iG7A6mVGRkyHSgzXimeiWenxrFPuYhI33eGoGWAMzeoDCKEePftJh9i4/3eI7h/X3Ovsbl1Nv+hSv+1/vY8sbjHLpvC/5YzJr181x6dgwjgLCWIHsazU6rIeVKhygxcK1BosNCgb0bz3KmWWXuQoXyeJOCG3DxyCiqEFOodoligzCwSPoGSFg1scTUfImN4wucXyoT1F2EoyhVOtp8aCqHOdJj/fASc+087Y5mjXxo9/f46sxeZtp5pICcE3Du5AiFk/o+XP19wfSNBpMPRMQZg9nrJKt/GnL2N1PK5Q62mdDsenhOSPyzGsVXznDpxDAUIiZH68zW81QKPQypGPK6HJ4aQ4oUw1RoJURKzgsIIpNuz8E0E6RMiSMDpSSWHWOaCa4VY5s6x3Yo09WxTI0SKeD7Fp4bkXMDFup5ivk+1UyX1489w0efeAV7N53h4MwEqyt1lvsZotgg2ldh8ytP8szhdTrz/IYf0lYuz7ZX8ejPL0dGmt1kdQXK0Oe30xCUj8dEOYkaDLOCosBpDe6HJCUo6mGzEaQr4E4qdDSPGaSaoWHrrHeZgNHXQ8A4IweAx4uWPmFe/9nqKux2QipecM5PiDMSuxlz4aUa0Fi8PkJYCtNOiJqOvttcuPl1BzjyP3Yi4hSrE/N7X/gG/9cTv8r4d2ymfyUkbdi89NrnWPBzvGb4WeaiIp955kaqlQ5Li3lGRhrMLxVQHQuMlKu2nOPo7Ci2HWMZCd2+1rdXC10EsNjK4jkRtVyXKDFoBzbdvkM+E9DsuCSxgYok0lQM11q0ei5CQN7zWW5lGa80WepmiGMD+8ECxh2L8MMqy7sSKgcMnUhy+yyzR4Y5+0f/z2Jm/n+BoH7w85/+4Mi66xl6NiIsGBS+9jiX/vR63vHyBznfq9DFwnEjptolrl6l87JOLg1hGgrHTCh7fYLE5MraNFdVL5F3Qy51SliGouAEGDJlMt9gS26Op2bXsGN0hjg1yNkhG4uLZOyIMNEHfJxKNhYWERK6yiabDRAyxbVjCk7AjuoMN1eOU09yVJ0e7x55kGGrxfbKLI8vrme81qAdOIzkOxxbHOE9ax7i7Mv6/NoXnmM5zfHG4ad59d2/yS/9zxk+cWk3Xzh3HemFDJUtS2SdkJGP2yxvt8jMQm9cUwkbW7WxT5QTdDZGWA1DZ7rauhgWyqC92qCzSlB+PiIYskkl9GuSxhabMGcgE0FrrUHxfEhjvY2yoLpvDn8ij7IkUS1DfYvD4pWS7qaY/lhKrtbl/VvvY+9thznw2auZHzP5wM77+MXSFhwnpt1zoWvxmJjgN3btw5IJJaPHQpxn/+xalG+iXIXRNBGhRBVjvCmDoCoGNDGB09aog7L1tFtZ4sWJsaFpZFKlJFmb3pinp/+m1qgmOYek6JEUPVLX1vRfBZhaZ+Us9LGXfR1UnbVRnkWStYizBp1xm6AsiXNQ3FanF9jM9fLYpqIZeviJRYLk1ROH+PC1V3LqTR6X/DI5J+SbO4ZYfM91/N5//zY/n9qKSARRHtSyw9aPnufEleM4Cwb9EZCJIMzrg08oaG5JkaFeayLVn6nZ14fk3F6bwvmE1hoLu6NtzdurbW1PnkBQMcnMRfRrOrjZrSvdHGb1e2d1E5a2u7RXaX3F0nUR66+cQm32aUobzwtJUkF7McuVO89ybnqIJw9t4QO7fsS+7ia2edP87bfeRDoWgG/iLkkSV+elpSas/c4CnXXadEYoPSGMPd1MhnmxghgKxQr114i1u69flWRnE/pVE7unNM3O0hrTF4yjELrpVLbAbmvthhGlJI4kzkjCoiAsCBJXEBUEnXUJIhcTZgQim0BsIEPdOHrzWl+1cM8Yv7j3bq7e/2ZeOXaUvzr0GrK/7TLTKXJwdpI4sAlLKUbDRB7K8uP/9nG+ee/1hDmJ1Rb0xvSlFBYU5asXmM0W6E0qzK4kLOlmu7k9Id3QI3vEobMK7OagMSmkRGVNSU4NfUm2NqbamCMQdFdl6KyxibMDbfnNTfIbW8SVhB3j09y++jgfXXs3f3Hg1dx41fOc9AoYdYtklY9smjjVPr84uo3f3vUI3cRlyG7z0Ud+mWDZI67pwr3TdQm6DmtXL9A9WyCoQb9i4FcMrJ4eDmBK4qyldcEqRaC1msoxkGFCXM3RXZfD9FNUwUMmKfFQnqSaJ5gsQTajc4wNOUB8UpyLDe3A3eyhChmikTxRyaU3YtFebdEbFfhrQ1698TkeW1hPXeSoWR0O9tYwajWp2H2ebUySNUOGnA5lo8eI1eTLMy9hoZslDQ2iUorZNhCxQBVi0tQcfFaaRYCQiHTgAJ01NM3TGLhD2wapOYhG8kyigqWHYQN9pvJMwlqGpOCQ2taLxm2GRMYKqx5g+jqPMrUNgqEMScbUhnPjJkFJEFRT5GUdpKHo9FykkVL3MySpIBSSw89s4NqbjlFzOiQYbLTnebS1keV6Tk+EYonZMhGRwOia9McTjL4kKL9oGqbjEiTdcW1oE+Y14p24EmUag4GcRVjQOkXlmmBIwpKNP2QT520wJMrSjJYkY2lNbztE2SYyiEltg9ZajzBv0B/SwfVxRhBsCqiUu3h2hGUoGoGnnSEjlyU/SyvwePOfn+S/Hn05PeFwpj9Etdzlzx6+lZ8yyuxykTSTkAYGx4+tpjzeYiFnERwtUTql912Uk/hlg/Y6QX/Cozeidb6mr8+f1hqL3qiJ6Wv6vJZuDAYSBUlYlBiBPl9kCr2aSXutgz+awVYuiWeQWdADv+Udgv64wmpL4mzKh6+7i88uXc6nJ57igf4IQWrynjUPMVrq8NWlLTwzN0mp3OWW4RNkjYBhs8WnT96Cf7ZA4qREvkVnJkdxpE1yPkN/SNOlw4IBpoG7GJA6Fso1V9gyAhBSolwLgSC1LJJqVg8JGKxn1yap5EhGS1pfbBikrmZMpaaBVe/jXKhj1Ds6HmOkpOOjcibtSYvOaoOgmjKyps7VQxf595N7uLwyy1RYxhSKMLWIhUHrfJHiPwuSvKcR6wcOkH+4xif2fo3vHNuDqkSYuZh+16HfdXlgYQtLUyWWggzj5SZ+YtGLbWwj4briGWbCEhd6FSpOD0sqqlaXVOhYutmggGMkdBOHUJmEyqSVeJzuDNFTDqZUlM0eCQarMnXKbp+MqfVxCChZfYasNk8ur2VDdpGa2+XI7DhqJESNB3TLBiiDziR4cwb2+g7/8puf5RvPvgSnLpm93mDjHz3O135wPdkfP8eZoasIy4rUVVy9+gIzh0ZZ/0vnMbIxwXSWJKsYnazT7GRYX1vmwnyFKDGIOzaxq5GnXmLhuiHXj5zl5IlJjKEAzw25dvwCuUwAbspIpYVraspktdil3skilmwu23aJi7MVioU+77jqMVJHcsfQUQLDBgsOXPt1fuvoq3n7qie495kr6fUdWhcLjGxaZLlgcvO2EzQerFE8rV3zo6wkKEqCisnErlnyTsCFmSp7152l/qU1ZN8wy9R8iV1bz7HQy9JoZfEyoZYtpZL5Th7LSrAs3YSqgdtroiRSpHhuSBDY5LMBwkjJZQJiJbEMRQr0Qz3snV4u0vQ9HCvGkClDhS6GoegFNtV8jzXFOlKkDLkd7FzC409s5cot57nQKJN3QiIliUcjFrs5fvWKp7l5zXE6yuVIZ4Jn58exDmrNt9XV2mKnLuheFlI6rGvkfu3FRACZaHZTmNfnqc7R1kPylV8DjwyZQGILUlPLsWJX+2soW3+/xJYI0PXMYCDvNhNkDN1REzOAMCcJC3qf94ZNElvQuizBnjdJlYHqaX1vWEj59ls/xVf+6FUYvgIJ59+leNnEEcarbY5uKCCMFLsQcq5R5aErvseP25M8uLiJxfkim8bn6aKNkQLfwspFZAs+gTIRAqLYZOvQPPOdPEHD5dcue5rHp9dRK3RZuFSmrbQj80SxRSIkWTuiF9rYTsyuNReZaZbIegH12QJRYBIhsSztTG0ZisZsnlRKgiyEwiK1gSs6+DVFKuGyjVMc/+LT/3kQ1FxlVbp323tQtoH56GHO/vXVFK9aZHEpT9ozWb9xlrlWHvMXRUZfd56L9RK3rTnBkcYY0/UixWyfbmBjSsVwrsP5pTJxZOJlArJOiGdpXvx0o4BrR+SdED82MaRCpQI/tLDMhLLbxzISKk6XmV4RSyaoVHDH8DHmogKHGuMs9rIMZzucmBnm3TseoZO41KMMzy1PECvJZeU5Hru0lvFSiyG3w3S3SMHx6ccWbxg7wCcP3cbxG+8EYPu+txGeLpCMBKR9k4mfCbq/3iR5sIJ72wILc0VKT9ukBrTXKdxFSeJqqkDuom4OcjOK9qTEaaR6otzV1DVlaa1NKsFb0lObKCMIihK/pl1Is7P6tUFFF9KZCyZBJUV5egqdOgkP3/Ep/uTSq9iRn+JfH7kFu+JzxcQU55oVmh0P00x432UPEaUGroh4pLGJRT/L6SdXoyZ90ngwbQwk3iULfyTBakhtINIHq5VidbUjqs7OZIAMaK2i1i9qgXoqBVYrHriuJQNUxEZGmqqmBg3Pii7gBWc2U1vJJ7aOZwjKWnMQ5lPCWsLVl59BpYJzjYo2zDK1YZYhFD/d+iPefOY2Ti4NEStJ+niJ3uqED952F3/90K9Q2W/S2JpSWN9g+LXPc/HPryesKOyGRIY6x7K9WhCWFfkzkjiraR+5Kf18saObl/6woHo0Jh48a5iXGGFKlBXkphPaE8bKtK+9SmK3Urwl/dxL2zTlV6RgdqG1LWLbBy8y/fr1iJctMVlsEgzW+7ETE9x8xfPYMuap2dW8Zf3TAAyZbc4HNTqJwxN/cw31LbqJDipayL/2O8s8/wc58kf1RWMEYA0Q1Dgj9J8HdJcXnsvqpUQDyq9GTNMVDa3+vLQuMHY0apoaui7X1F79mqCo3weh9NSzN6J1zL0RgT+SgBJ4c5LaoZiLt+umUpn6eygbKjsXGM52qDpd9s9O8rkr7uR3/+b3iV19OTVu9ZFGgvd4js/8/qd552d/j96mF1gFFjIC5UD1uZTlbQKrI8hO6+eOcoLuZErxOLgN7fTXr0qUqddvKiE7n9CvaBFKZ5UgKigdgN4Q9NbEZIe7RJFBNJshe0kPBLJTKdf8zjN8cPR+PjR3Mz88eAWlgzZBGdSONuJonsRNcbc2eNWaI8wFBTZkFohSg3tntrL49Airr7vEVL2IZSYEocnol13Ov0ogkkEEgC/ITEuceqq16IO9l5pai2P44NYTbfAQKGJHkpnXGa4y0Hsv8bSlfir1BDrKD9xuBdhtrUGOXUns6cGD1rtD4ukFsH7nFL82/hSrrCXuae5gxi+yNrPEZm8WX+kBkSs00mmJmM+cu4m5I8OaDZJVGllUAhELSoclrU0p9rIkNfU+sLopdlvrihLNoteDohjsbqrlE+hnFgmYAzRSRmolg+6FsyXOGiv3lVDpCvsjceQKwh+7mpoe5fTa80diRtcuYYiUWEnafQfDUGTsCEMqql6PywqzrHaWyMqAg93V/Pi+a4gzijQf4+ZCPCekcb6EDLXLeGpoDbPZE7iLet8ZgS6yjDB9kU4+QBFf0NmLBIxAU9nMXqLzVG2NAsskJcwbKywPXaTp1ye20EZgLf09o4ygPyToX+YzOVJnU3FBu6jOTLC+tsS55QoZJ+T60bM8PL2eWqbHrcNaT/aBymk2f/l3tOyjErF93TRb8nM8/rE93P13f8/tH/pjlq+OcWZN1KYexrEsMoLxx/o01mt0v3AhJMobxI6kOy4pH4/oDZsrZ74x0KkrR+DUIxrrXbJzMf2aqbOYRwQihqgAmWktYYmzkL30ootn4yaf07d+kf1ByF2N3Xz90G7WjS/y1okn+dsnfpkbtpzkj0bv40OXfpmt+TlGrBZXeOe5v72dO5+4HgTUxpr0QwvbjKkv5bCnbcLxEGvWxmoPiudljdQoU5+hRqBNCt26zsG2ehrBUZbAbsU6WkylyH5EXHJJHB2bFOX1YEZGms0h44GeWOjPOCjqgjqoCIJKSuyliErA67cfJGcEHO+MMOy2aUYeW7OzJAMr/1+8dy8iVsR5m86EjfO2WTJWyMWfaYmBPxxjV33Mgzmc65ZodzzWjyxy4twohhczWWvQDW38yGQ436He8/BDi+FCh5wdkLMC6n6Guu8xmW+gUknOCohTSS+2CRODkvOi46dEa1j9xGJncYpGlOFYc4SsFa7cb2cWqqytLdMJHeYPjGhpz6KgvSGBQkwaC/JHbXoTCndBUj6e0FptMPJkF7HvWVpv2Ut3TNJZl+BNazlJf0RReU5w9XsOclXuAp89/RKWp0rIXMRorUmr7xL4FpVil3bfYU2lzrETEwgvIY0lo2N1ZqfLFKpd+n2bbCagP3C8VUqQz/oMZbtEymC2mcextIZ6bWmZ3aULfO/iTrZXZ7mldIyq2eH9z7yJ39z6OJ+/+3Yy04Lh/V3OvSbD6OMJ0y8xyG+u07xQZMM3Q6KcSWfCpPq5faTXX8Hu//0Mj8xvYGqhxGitSdHxubJ0ibmgwHOL4xRcn3OzVYQAxw0pZ/uMZlscmx9hVbnBucUK5XyPju8QhiaT1QYX5ivkc30SpdfNcF5nuM40C0wUm/Rji8V2lqwbEsQGptRn6mi+jUoFQWIykmmTNwMeubCenBewqbxAI/S4snSJnZmLfOTYy7lx4gwXemUavseluTIf3/ttHu9s4Gy3yrMXJ0lnXLIXJL2JFLMnkAG4yymdSe32H3uCzmrtYi8GSGniCuymPgdkpGtQzXDS97ndVvQHTIzEFisu4i/Uk5mFmNiV9IYlhq/vF9B72vQ1s8z0tX9GmJN0JvTeTxxdWyknZd33QqZvdHGWNVMryqZs+vwcs7eNUDgfk3iSzHeeILxvDY2eR5QYdOeyDK2uc/v4cQ5cY3Pmq9tIL2RRYz7bV8+w1M8wfb6KkYsxzATT1Hdbr+mxfvU8Z4+PIUshSdckW+vRbbq4uZAoevGek0Kj4QClUhfbTCg6PvOdHH5oYZoJaaopxJ3FLEYmpljoUq/nKJW6jBda3L35J6z7ybuojbRo9xzdgPsm597+5/95ENSPfOTvPzi86Xr8msW5Pxhi1U9TuL7LeLmJlYuYOThGfqzDH77sbr7z/C4qRT15W+5n8UOLfqCLZtNQ9GMT00gRg25eDbSlYWKSIrBMRcvXjla2kRDEJjknRCFwjIS5Tp5LrTJJKulFNjWvy88ubuV0q0Y7cNlYWeT4/DDDpQ6X/DJKSEJlYhsJfmLRilzWlpY5vVjj/HwV14vYXpplxGtzsLWK4BujfOrYHj4xcxW3b3ueS0YWcSpLOhLy7Ps+x7/eeRMyguWMjblkYQSC0umYzCz0hyWFMy+YgegiyGmlZOcS7LYOp39B22e3I4KS1qnoIlIQlDQ1LzujTYKCsiQsaWQnMy215qgjyF0QXP2qo4zVmuScDmf8YTJmSMN22T48wzPTq2gt5PiDqx/g0ScvZ8eGC5hCTzgfXtpEL7JpBi5pqA94001QkUH+jG6Szb4gzuiTQCa6uLO6Az1Yqs2DzECb5LygsdJOnWqgWWSgrdJFrxj8UzLI34wHjrGJqzViYcEgcTTisDIbE4LelpD8UJftlTkdY5HYdAMHIXVBmbUi9ocFhBB4dsQvdnyfu/9yPeUvPct3rrkZa84mf8s83aUs5dEWP/roPfzD3G5qByTNbQki0doxgPw57f5qBGj3V1vTQJy2fm53OSV2JWagCxOBLkycljYEyV+Kaa/WFEW7xUBYL2hulFSPJfSHJKvu7xCULUaeSLjwKzXiXIqqRkzNVrht3XH2z64invc47xc5vTBEdDbPjVuPMW7VycqQj//01Sx9e5KZV8VYSyZBOcVd0g1fd5WHVTcwfAaIhHYoRYDVSzVaGg00VNHgc1NgDiJprH46QK/SQWwMK/liWnw8QJJTTZ9JDVbQdI2IDA79nv57UBEoB1JXgRIEJQO0gSlOQwzMDGBs7RKT2Qar3Dr1P13NweuGGN8zy9m5ETo7Q3IHXLyTFn5N8I35q3EWJWExpfaYSTxYq9lp6I1KCufBaUCipTjY7RSzKwZRBXoKm9gaoQvLL2hp9dCksxYys4LiGU35FaleG9ZJF+eMzcj+mIXrFMoQ9Efh5MIwX12+EseJKRb7LI9IzMkek6UmYsyn3fFwDmaY3DHLsNOmbPZYinMc/c5l9DaFpGY6kFcqotigUXVIcwnOnElciwCJ0dPIvtUboN6A1X5x/6WmWHEftDoJRqBW9htSNzMy0cVwkjVQg72XGmgH5sGQLMpL7HaKUJr67NQl2b1L/NLoKW7PHcMQirvmr2ZDbpE4NVhOcmx255iPC4SpRkhO+aNcUz7P40trdFMqBMgUmYuhb+BviHAvWtgdCCv6/xKp3m9yMNzQmdEpZjAYgFh6iv4CxUukGsFKpT4nxaB5Y6DlXKGfDwr/ZCWjd7AP/MFEviDoj8e4Q31Nl1KGpq/lfBIl6fRcXCdiR3mGCbtB2ejy0UMvRxmSuV4Os2NgVAMi38TvOzgzFnFRYbYkqZVidSTKBqEETpOVPWL6+uc3/XSFUg56oq8n8WKFrZIO6PgYEAyozy9mEGsXSpFqTZbTTukNS+LsYI07EFcTLh+fJm9q6cRUu0g122Mo22G+m+PIzARhaPG6dc+ywZ3j4z98HT/5bxt57Z/s49TPNvDKlz/NVcWLfPdzt1D79mG+dPN1zBcd1q5ZwL4nR7toYWzqYJ53MAO5okn3/w91bx6saXbf9X3O8qzveve+vffM9MxoJI00I8mWbAtZcbyAYgwESAxUUpWQIlQqZaoAp8gfiatSMaQMBQkkgA0EU04gJKYMwXZkydgWxrLk0TKjaS090z293e6+63vf9VnPOfnj99w7SlGp4k/cVVPVc/u97/ac55zf7/fd1s35Z7IFLHclE3nwqKZcN917PXPmFE3u8pIhPfHYKtDb99RDKTiLLUXbC1z4Qsvx+zWbP/iYp1EPcxRxsFvxoewh2jjeKC/zX1z/dVLd8F899xm+VFzjp37+D/KR977NerRi3S74tdl7eGe5yePjMSZ3eBQhKK6vT5i/tkV1wWFmFuUV1bYUdraQe023YqBmatlLo6JzqO+u4ZmuWTmJNVLOd0h+OI9QCkbT9AwuFc1/m8l9Vw87vV1zhi4rqh3HJ957Ou+figAAIABJREFUm9+39jq5qVmLV3z19AovDPZ5WK6RmYZn0wO++s9fZHk5xXVDpvwXY3qfPOXJ6Zhmp2H0ZkTtIjY+uk/ZCPozLSSSyFVG9msdiKyjaMQLpJc0JLYlBEWkpWZaSwupBZSnb2us9gQUmW2IdctR0Wd/OWBSScLCSZmznS/4jUfPMUpLDpYDLg6mPF0O+L4rt/n8/WeYHvSFZZYKsm6XCpcH0r1Yhq6VYvyWNB2bP/N5fuWLn+bn/soF7v+ZC1z/jj2Op31Urbn6iYe89on/nf/1lz7M4fOaf/HZD/HJV77OO1+/TP52xHESk/ZqiuOcKhjqIqY1CpM56iLCpo5VmZD0aopVwvp4CSCZqJHjg7uPeeudi4TEczjtc2l9xvGsT11H7M+GfOX1m9y88YQvfvEFfm3/eX7p/ssoE9gYrrhzfxcfK45fjvi1H/0p/tbex2k2HdcuHpGtldjfSPCp4fAVzfy7r/Lsn77D3cUm9w/XyfOaT129xVpccGt2kTeeXOLm5iE3+ifMSFguE3p5RUAxSkpWbYILWhzV4wbnNev9guNlj1G/oHWGOHKUdURQUnNr7SnbiLWsII4cg7iibCOGacW8TFnUCWnUcrTsMW9SHs3G/OhzXyIYMdJ6uFpj0vRoteXt6RYlES+PH3Mpn/L9V75BEWK+Nr/El79wk62rE1aHPZRT1Dstdi759vObnuEdYV3ZIpBMoNwSHa4tEclEGVAdw82WnNcq0UqaVFsKG0y3gWA5N1wTE8cuu70b/PpIaiDtOffcqNYU2YkY8uWHnmpdhrrNWOqHk/cb2oEMEm2pqDc92WlOVECxaTj64ZK/+Zf/GT/9le+lCYYkaRiur5h+ZZNf+Pgv8tafWONrB5dJtguG/ZJXNx7ypBiR9GsWpxlx1tDPatbygnmdUHvD5vaMsolIBzVtK7Rd58T8SmuJFaqrCG0CNnaslikOGSa0XlOVEoUUguLG5gnXto+xsWf/nU2IPW3Q7A5n/E+PPsj8qMe1i0c8u37M4y9cpo0V03/+md89OajKyak4+Ee/Tfw44snHIp5+fZvKWRZlQvbCKeYfrfPv5PcITtOPa+aNiHy9V8Rxy6hXMEgriipmWcRoHRhlJVnckMcN65kIeAE2+0t2sjmZbUhtS9la8qhhUmbE1pFEDUoFVlXEtw63uTw+5Zm1E66tTfjygyvsjOZ88sJt/sCFr/Klp5f58PAedyYbbGULHn3uCr9z9xo/evNLPHfxEOc18zblenrEnX/4PF/8i3+Tf/yn/goAD5ZrjHsFzdhz839s+WLVsNoNLK4HdGHwsXwvJy9ZZtdNdxOJE2W09Ogalhc0ywsyJasHckAVG4YnH83E+hxB7FZb+lyDcUYPi2eB3c83pEdy+C0vyQQ5GPjmyQ5/+9ovMtQlP7bzWX7+zge5OTrkH1z7HOUi5gc+8CZvLi+iLhWdI1/EPz38IP/BpdfY/9pOB6N4kkGFsQ69EGMmycoUfQDQubfKzWwqcRmNVuLGKRN/eU8qBFTrUS6gW0+bG6qN6Jxe4WJpwnUdiJb+fNKlfOc+2TVRdV+dP6eOPM+snXAxOeVSdso4LSR0Pa7oRzUPTse82r/PjeyIT6y/xQ9e/CC/9Jn/g08//irxvZRm7Dh+fRuAJ29t8SfuforskWX6HNhTEecLciERESiI5oKcju7W2FVgtSMRJNWaoGcuVlQjQzVU1ANFsS761sVlSzqRWBMVpCP3BtEjJxJncvBqnzZXLHcjfBJobpQ0t4f8xe/6J/yLvee5sX7C8G2NeZjy4WfvE9+cccFOaYLlX81v8ud/6P/m8FMVvVsJbS7NYj2UAmpx3ZEeh65RlMZEd/dtk3dZYm04z0c8+3nToXNnzelZMPoZwhPOHHx96JC4d4tkyUOVx7i4a1JjMXpwaaD/QEPcIVx5YHRbHru6IhE0AP2o4s2TXT7z332cX/n5n+X0exd866+9l3rNYWLH7L0NvaeO+mZBft/iMlCtoA29J10RfEnRDAP1UA6pdBKoB4rZdVlz5abkbjY9QMPqUqDpy+8GJYhdvifrrum9S4Ue3ZHPtbgcePxxy/hrEaO3FPGlJf/l93yWQV4SG8ftW5cpTjKK22Nmf/cyrTOku0tmLzVEyrFoEz59+BJ/dvNfMX+lJO3XhKC4tjZhlJVUpyn60kq0hhb0NELVXaMVCbqoHWTHYnQVz8Qp1XfX6qxZOXN6rccR5ZaYBLlE6OUyoAjES0+88ESFx1aeZOaJ5uLw3OYykGhziG3LK/l9PpgkbJmCP37xC9xfrbMdz3lv9ohfnb7EpOnRNyUDXTBvU37669/N1oWpsDtij8ocvjIkh4b07QQfyWQ6msp95y24tMsDbAPJTN5bvBCzpjOEEMX5eg4KmoGhGZiuGdO0fTFz0o2Yapw5gEcr0SCJU7OiGgkzQwVQvZbL66fcHB6ylS15fveA+UoGo3lac3wqlOajps/XVle4uX3It16/Clam6gAbGwt6owIfBVQl68YUYuIRzaXIanLJ0JXBnic57VDhb3OObFNpuE3VGY2NJKLMJTIk0U7uPe1kbzK1XEfdyP1e9wRVPUdRh4HNrRnDqGQjXmC148bGCbce7tIGw/W1CYN+wXsvPeEXH7+Xf3b0Cv/nH/lr3PsD6/ydX/9e6iGcNjm/cvASP/Inf4O3/vazRMZhJpZ797Y5fr+i/0CT/sYAAkyeNzS5rNMzB/D5ZSMocCQDsHpoyY+cOGarbh/YNGIQdCRDMZfIHpQfiKt4PIfsUHH4gYh4qij/3i60imc+8hCAP3Pnj/LRdI/v2L7PT37jh/jLP/nH+IfTD/PB/gP+8O//TbQKrHzMSdvnz239Oq/duUa+VqCNY3OwZGc0Z282pLhRn7NGlAM7N92QQ/bHoCCZdutz7jFl+P9QDZUL6NKdP0ex28OlRphBkT5H9+O5DKpN7TGd8eAZE+nMyddHoCrNs/kh74+PeDV5SKSkoX422ed9vcd8a7HDz++/ivIyLB3cnrL2rYIf/uu/yq0vPINPAvYw6uQPgceP1pkf91jvi/ur0p60XxMZR2LFsbUXN+c+H2vJikFcEmvHKC5ITYNWno1kxbxNeLwcCbOtjTgoJLt9PVsxSCpS0xJpz63TXT6ws0c/qugnFW+dbPKRrQc8LNYY9gvyexHBQP8djY8CbS+QPoood1p87mlG/vze/723TgF462dfJXsnZm86IlkrSY8U+g9MAdj/aOBk3iN/ecKn77wHUyjcd0+JBzVlJRo/N0mI8/rc/fTapWNMZwrknOaFS/u8f+MJ80VG6HIlbx1eYLw9ZzbP0Vq8T1xraBYxaVYTX1twsBpgV4rh5pIPPPeQG9vH/OqnX6EdOJpnBGH+/r/z49gSdq6ecOd3rvLw0QYqINmnAS58oeFrB7vktmZtuKKqLL/wzst8dXKZvekIrUXa9K3ZNolxDIfyvIsi4e5kg7o1rKqYqraUrcUaz7xMcE5T1NF5asbmQDS2VWOllrYtR6seZWsputiSVRNhtGe9t8IHxdXxKc+Nj0iili9OrvPh0T1ezB5jlKdoI37+X3yUf/LKzxBpx2cevsBvHdwQd3CXsmgSPvqxb3JlcIpdyvW0Eyv1SwvXf6GVoU3UmRZqYQ8GS7cvQpOp8/sFvk0i0KVjyPBI9sighIV3NtgUOq+kGMj+KWfpGZIatAzVg5LzHyX1oI/o5EjgRy3xiZwx5ZYnf9ht3grqHznlmT/2VZ66Ia88fx9/lDB7MqAX12x9eJ8f+Pf/Yx6XY7bXZ+fx1od1H60CyzLmwsUJw7xkVcXsHY3FVXqVMFnkpElDFjdY62lri1tZrPXEcUvbGGzkCF5ybW3colSgrCPq2pL3StK8xnvNo+mIR/MxlTMk2ytevr6HtR4fNB/ZesDWtQl7v3Cd33rtBb7jB95E95r/v1bwX/vzbwWC+pN/6a/+xJXtD3P3x64RLTRb3/WE/taKh482ibOG7cGS8sWGJ3rAXj3Co5iXKY0zhKBlcjfNaYImBM2wV5EnNbMipahjArB/OqBuI7QKLKqEvdMx8yYRpKy7uRZVIpNNE3Besd4r6CU1zw6PmDYZLmhe3nnMj2x/hV8/fpG7xSYoxeNqjYDmpMz5gQ+/wScv3ebn3v4IvaQWVMI4vjK5wuf/8M/xHX/hT3Pr+TUezcasQkQatTx3ZZ+37S6/Gj/LvI2xM000l4xAU4kGcLDniedCk2wzTbmuu9xTKDc0o3ut5E0mmuTUkcyg96SRPMm0cyZr6Q7xDt3JFYsrhnJL0Q5kMq684oU/cpvYOtazI26Vl/nNxU22ekv6UcXfevp+ntk64qAccFz1wcD71h6T6YZIe/7eNz5G/8KCsopBBZSGfi5W1u2aIz628pkqiKeBeNHd6K0Y6OiWzuCk04tB574pNCfdNal0AcsCE501QELPk0ZGndMPm56m6T6fS0W3u3imZfPCjMg4xklBHSzjuKAiYitbUnnLZr6iH9W8Mb/E//PgJX7rr4pz73/znn+P0c0Ja5sLFsc93vPqfbKfHfDNCyNULQhS/5HCRYiRkBFDIdPppqJVYHY9IiokhiVECuWEsnuGXOlG3B2DVvgYoWAmgpi7RDbIak0qsWpNOsLR/ZY2V5x+X4E+irj0wiHlIDDRfR6djtk/HXLrP/oZ9PV9/untD1BNUj527Q63y100gb/1hU8S30+keXTSlKmgiKcKU4quVXlZc8p1SKdWxCuZGJ4hTpIx9i4CfoYKi3Peu0MS9W3N7FmDK59XislgBJ1UXg4Xl6luiKIEjSugHspGHyKhx7RjR7Znqdfk9fPdFYltufx79viZH/kQv/z6Z/nvlx/CFJrB6xHlVkBXlh/4/q/w5nIHlweiiehXBdGAtbeEwSCoHMyuaaJFIDuSYcvgoWd4vwElBk6DB57xHUfT1+gOJTaNoDdtos7dAuuRYnldDIvsQpN8/Ijv+943MLHn9mKHB9/Y5Undh7lFrzXs3Djm6W5EdW9AmwY2t2dc7U/ITENua378M3+IV99zj8LFGOPZzJbc6J9wrFJ80FJATYUGnZwokum71OmoCB0qJa7hZ6i2aIyFLmnKVqj1iCYHpc41OCqAXXX3XiSapzYR5KtaUwQrqPfimRaeW/Hdl95hLVph9RGx8vR1gbaKl9I9Tl2P7+zdITYOozz3qi1GtuAHd7/Obx8+Q7lMICh07IiyFr1bUhhDPNHYottbZrK3mKZrvDp0X3WFhaCk8l51GwSlaqSwl6GZNA4+6SjRtexNwlDpdEepuE63uTSBPhYTtOKiI9so2OwtCSgCEFA0QRqT2Dqi2HFtMCHWjjurLb577Q7bF095WI6FFfAwx49a+mmNW3PCAAqaaCUodDoR5+V4EUinHtN0BkH6bLAj/ymUNC7TGtUGbOnEtMMIei5NkMT+nA+HtHwv1UiuX9tTLC9DsQPFJYfve3TqiKynDYateMFmumS/HdCPa3xQjLMSBVQu4q3PPcMvqheoxqLbM1cK7nzuGZ5WfY5sznyRUgfDeHdOHQz2SSyxUiXECxi/LXE5/Sci72h6RgZ8FeSHjv5eTfZg2t2vnv79FSGLyI6cDCEyodmdIcIg17fpi8laNNP0P3HAx3/wa/zwC19hvx3xy699gOcu7/PIj/jj61/gyuiUmx97wK3FLndXW3x8dJsT1yfTDReiU94TT/kH+6+SRC3Oa9Kk4erglIv9GXurIWEeEU8MplIkE8m1PWOGaCd7YrSUiCAF53EWZ2aGdlmjyy7uKbFdtFWnE/dddFcTOmRfzvc2E+Sz3BBpSTMK1C+WbF+e8MHxHmMzI1aeDTPHRPCVxVU24gXv6+0xiGru/so1XGJ49P05prL81sPnqdc9IRaDpGDpzl5I10qypGGYVqRJQxyJPCoykq2YRw1Z1LCZLjgsxdRnUuXM6xStg0SOeMu8SYmMBxQexaoV6ZbRgdg4XNCMkoLWGyofcVj0cUFzbTQh0o43D3c5PemjlxZTdQkHtaJZE/22XWp0rXBDR3xq2P6/vs47v/8i/+0vf79Eos00zSzh+z50i1thg6Pv2+ZvfPkjqO0adSdn6SP0Xkq9K5ErrrboyKEsXLp8TBs0y2VKUIrN/pKD4yFJh2DtHY/Zm4/YGi+oWsvWQGiTk3mOMTJYiiPH5nDBle0TDqYD6jIiy2pmIeaHXvg6rz25ytP9NczM4MZi+uVR5HuaN/7c/8JfvPWdJDsr3GHG2jdakmng5Ds9iw+1VKuYSms28hVOKdK45XSV0XpDuYrp5xWVs3LdrCPtHHiVEnaiVmB0YJgKa0LrgAuSQVs20qT2I4koWcsLUtsyKwVIMjqcEeSw3d/r1tKPa57Oh6xczItrB3gUnxh9i1VIWJFyUAwY7Sy447YJKJ4bH/HO6QY3x4cYFfjs3RfZm43IkpbTvRHRUmQ4rgcuh8l7xOQxmsl55yNFvOD8nAhWauqzM0+3Z4CIDB1N25nk2a7OacO7PinfXne2nCcVgDS/thaK71mco0IQUVsEfCLMtLbnUbXmwhcCxZZGtcIAGt92VGPD5n/9VZ7+2HfxzYtrnFY5MxczeiPmQPVYYbE/JHvvIK5Y+ZhxWvJoPuZw2ieKPFUTUdYRWgdCUDhnCAGa05RsUFG1luU0xcbi+NsWEa3XeCfZsDbyGBNoGks9S2lb+XlTRxjriWLHheGc2lmuDk9RBr5v55vcOr3IrEq5fbzNf/78v+S14Q6XLp3w5t5Ftjfm7P3cv/rdo0Fde3E7fOyn/0NmVco4LXi6GJw77Brtmcxz8lTyd2Sx+3O+e2QckfY0XlN3OoS6NRj97uc6+1nd0Q7q2jLslSLu7nJPm+756tbivFA6F2WCVoEkaqlbQ/ttr5lGLUUdYY2nF9fUzog7aiUWzWlHg4iMw/7Pm+IiOG8otmKSkxYfa2zRUq7H9B6t8LGh2E7EldCKy2m0aM+L/XposYU4hcXThrZn0bVsameh8nZaUV7IMZWn2Io67Z7o/qKFI1q0EES32eaaaOmxy5ZmYGkzTbSQnKd0v2B6s09UeNKDiuJCKo1EAFtIg9j2JIcuaPjAj7/OQdnnWn7Cl0+u8PzogIfLNXYzsZjfyhZsxkserNYYxytmtbjQpbbhQjqjcBGff3ydl7ef8Ggx5urgBB80kXZoAvNWLM+v90544+Qi47Sgai1r6YrNeMmsFWOF53qH3F5sM7AVX5/s8MrmHo03TBuZtBVthNWe946fcOt0F6M8L472ebQaE2vHo8WYC70ZF7Mpr59cYhBXVH9+C1079OmC5Xt36N3ap3x2i+TBRFyG94/Q4xF+fYDaO8BfuYB+fAjrI3FcTGJ8atEPDgi7G+jDU8K6OA2GyND2Y0zRYE4WuM0h6ut3IQT0cIDfWUc1Dp9F6EVFu95DNw4fGezbj6nefxXtPGZRi9PxdAHWUF3bIH40QVUN9TNbxA9O8MMc9eApqt+jvrZJ9OY7cHGHf/cfv0aiG6ZtThUs29GMB9UGkXKcNjmZkby6RLfnDoupbli0CUMrLq4eMbpogmHuUtrOOEF32jurPSd1j8yIU2PfVBjlcUEzMCUnbe/8ORPd0gRDpBwPinV6tiIzMnHzQeGDxqOIdUuiZT9IdMusTclMgw/SCCS6JdUNV+NjjPLMXSaf02UsXEqkHIl+d5LngyZSDq3EWdIFzbpdUIaIVDXsNzIYS1SLUXLflZ0DZa5rXNDSgAC5qVi5hIEpiZRj7lJGdgXApO0BsHIiS9AdXGyUR/Pu35tgyHVNrmtWXh7rgqYKog3um5KVS/j8f/KKPM+sQDmPH2TokznN1U3s4Zx2o98Fi7cUF3Li0xq7qPGxwSwqaFr8KKceJ8SnFc0oIZpW+MhItu1aQn7nhOULG6T7BcVuRnogjtuy5xT4NAKtsPcPaG7soKuWZpxi5zUuj8R1dRh1ztOiKU5ORVtjF06GTV0hoJ3HG6Hmx8cF3/pPe4I4BfBxID0UequuBcnLHyvqIbQD0UoD+CicI4gBsIVC1+/m0rY9KUh02+V7zpFm1cpAsNwKXWamUAHPkEvZbMEl0ujqRuEyeWwykUl7tIRiRz6LBLyDrhTBBvCd3rWV9/InP/VZVj5m5WIidc7JZeESrqfHTF3GtM3om4r9akjPVkTKMbIFiW5YuJREtdwv18mMhK1fTE7RCLLng2JkCynq7YpvLC9yUufU3nAtP0GrQBMMfVPxXLrP/WqTylvurTa42T9g5WIS3XJY9+XcU56teM7CJSxdwnt7e9wrNylcfL5H9GzFSd3DB8XzvX1KH7Hy8vkO6z6R8jRBk5mGaZNhladnK2pv6ZkKHxSFj4l1S945u95bbdCzFT5ohrbAoWm9QXf34bJNyEzDaZMxjGRPinVL31QsXHKeNVt5S+sNSxfjgqJvhWZROYtHnb+XeZOSmJb1aMnCJf/a72gClbe83H/EUdsnUS0vpE/41elLXEuPmbYZkXY8Ktb4ztFdJm2PJ/WIF7MnPKg2yE3NysVsxzP2qrXzfcPgGdqSlY/Pa42zTEmtAkuXcCM75KgZkGuRJZU+YieaESnH1GU8rsbMmpSbvQNS3fCl6VXW4hWtN1zOJkzbjMfFiPcMnpKolneKTRLdUnnLVixRSKdNzjhacSmZnO+NiW5Y+ZhvLna5kR9x1PTpG1mPZ+vhOwZ3eVSvn++NA1MyMiveqbaYtymxbhnZgmmb4YNCq3C+v9XeEuv2/FpFyhEpx6TNWbMrKi85qrM2pQ2GnqmovD1fd5lpGJmCKlimbcbIFkTKcdT0MXj6tqLxhspb1qIVR02fN/7CB+U+N4r8/ozV9SHJYUmwmujpVMzdxinx/pxms49uHE0/Ip6UhMigVzXKBeot2dOj01LiSPoxwQrSlt09ptkZYQ9n+JE8n4s1upFYNVs4VOuJ9yZU1zdEJtE39O4tcL2YehiRHpWoxolT+CCV4YVSnfmRIXsqa77aTLqa0RAM3P+DgfRBDAp+z6e+wmd++2XiiaH/ILC8rCiv1CR7MfW1imgvxl0vyV7PWF52pPuG6sWCH33/a/xvX/go9tRiV4ryWk3yMKZeF41u9f4VfpIQIo/tN7jjBLvQNOstdmLxSWDjq4rj7y+x91OaKxXbn445/AiYnYJmGdHfWLGcp7x09YnkstqAjoQGHz1IIEBztcLuJTRjR7RWceVnJGLLFA47r5g/N6D3qBBjzRBo+5H827Sg2cgxhZgGmlUD3p+bcPpEXNe9VaRPFjTrucgDuj/RpBTKej/GdcNMiRAzxNMW1QodXzeOZhjjYk0yqVHO4zJ7zh7TrYANqvFgFLhAM4iI5uKyXo8t8WkrKK3VHH4g6sCpQLmh2Hmt5vg9MaYOlJuK/Kl4Dywvyt+Xu4rhfU817HJavQzoBw8a5lcicS0eyznoUjl/fATpkXhQZIcy5AoGlrvin+ISoTwX24HxbZF59B97Dl8VD43e49AhwTJgq0bq3CDzLM6o6UtyQTINLC5LgkfQ8KW//2d/92hQ/4e/8VM/ceP3v4RH0XpDbGRirFVgWcV4r0hiKUbzqCU2Mp1rWkNsPLUTSkFkPFnUUDYRAcTe2rjOEAmqbpIQWU8WN10RLY1S7SzOa1onQcJaQWKdHEqJiPBDEESvaiJi61AKYuMQ/QTMS+HUGx3IbNuZYQTMZ1PsSjaO5LiWgF8ApcjvTfGJBa1I95c066no6CYV9mBGyCSuIT6uuum9QQVIDpb4TH7P1J5mYLGFxCdoH7qsz4BdSSh7tHSdJbbFNF3Y+UaEy4QqlD8tUYje06waFJr0oKTtxyRHJdor8kcL2pG4jZgmEM9btFd87FNvCr2WwIfHD7i32uRyfkrjLR8aP2DS5mSm4fn+AbM2Yy0puJJNeCY/xKrAtfSE58eHVCEii2rW4xVrsWQ2rVzM1XzCYTVgGJdcyOYoFXhp+JT1eEXPVhQu4XJ6yqTtsZWI5fyzg2O+cXqB2DiGUcmV/JTYOnazGUdVn/cOnzBKSuZNysVsSh0s7x8/pg2GsS1QGq5kE55+9iLNOMEPM+JJzfL5NbK9hTT+/YzqPbvoYAixYfn+HaJlC8MeqmxYvLSJ0oZmlMjPUJAmtKOUajvHdll4xZUBdulpNjJM1qN9Zofy2hquF9Gspeg2UO72RWu2atCtp3jPNunTheTnWUNxpYd1mmZngF3U1DsDaU6UorrQpx3F1Nc2MFh8ZlG9Hs16zkufukMRIgofS+EVpDlrMQQUT8sR/ajCozltcoa2lOxgpYSC42MOqiFLJ0Vi5S1PqxGpacm0RIZMmh6RFofG1LQEFJW3eLRECqjA3KVSWLuEvq1oMRgVSIxwZU7qnNS8WyxbFdDIJLbxhpOmx6zJ2EnmVD46L562ojlGBapgiZUj1g4NaOUxBOYuo2cqNNAEQ6YbtqMZDYYixPR0LZl83ev5LvjMakeqW/lc3b8H5DsZmhLTNZ6RdsTK0aIpfIJH0zeCLtXB0jM1m9GcpU/IdEMdLEYFclOfZzRH2lH7iIVLyHWDQ3MhmhJQ3P35y+hlRcgTgrXowwmhl6GrlvLamOi4kNcaJ8Szd1HQkMreoacrdFERTVboosaUMhAJkQGlSPaXQk2fNvgswi4ddlZKZFDVolYVpDFmXhKGMkChcxJ1A8ltjI6W6KDIHi+wrexFkh8qmlbdig47mlWYosXlYiBipxXHH8yEKu8FwUbJHtzmgexADG5cJo1kM/T4JJBMNKoRXbAthe7bDAKuFyQvtVbnOmJTi07NFp1ZTf9dPS5KptxnDS5APe704bEc5iEK2JXQ9KOlsBzaXBphl0izrD3YhaIeB7STphYFn3jhG1yITjEK1qIlu/GUg3bIjfSYKkR8sv91vrq6xvX0mOeyfWYu40Z6xDPJIXOfsW3nvC97xKXklBPXZzuesxPN2IwWXd5dQ0BRBwsKtuKoPItGAAAgAElEQVQ5hU/4+PgtxnaFUYHNaMHF+JSTVmhh63bFVjLnpOkxaXqsRyte6T8ApbiRHVL4mOfTp6SmZe4yNqMFz6X7XEuPOWoHJLrlUjphJ5b7zgrUjlIwtCWlj8h0gwv6fC/R3Xq3ypOZBnM+xAq4oEmNnKOxdjTekpmmM8yRgXQbDFqF82FWalqs8qS6pfHmvMkLyDCrbytc0MTa0bMSN2dVoPGGNhjW4hWpaWmDITeNNFu2JDUynBraksS0DE1J35Rs2AXH7YCtaEHflNTBSm4nlivxMSjF0qfUIWIjWtAGw81sn6EuyU1Nbhr6tqQJFqs863YpqWnaMTQlS5fwnvwJ+/WIV3v3iXWLw3AjOWTlRRuYdM3f0idcz455UApdfhBVXEimQo1VjkvJhCpEjK1QOC+lE2YuYyeeyzC+a/Y2ogU9XYsGHFi6FKM8A1sxaXKupcdM2h5We0a2wKjASSuI8kEz5KX8MYftkKnLmbcZfVthlad0cv3XoxVWexYulQxx3cheGC+IusHDul2S6palS1iLlhw3fW5kRyS65aTpY7XnZn7AwqVoFThtRaPqgsYg99i6XVGFiIfFGlfSCUfNgBvpISjF3c9cJZ7WklfZj0meLkFrGc45aIcJ0bTEDVLQAv/Fj08JWSwMhI7Jpc+bFI8uapQRnbRuA76fYE+WEALllRHJ/gJlDS41xKfS4NpZhR/lkk2swC5a6nVxXc72iy4WL+DzWFy1jWRwmsqRHqzQZUu9lXWeDgJ86DZQ9SRGpO0Fnry2SzIRf4V6HeL3TQkPcmEYWIXLPendhNWVFt1obKkYfMPyzVvXwBnimTQxxbYY1MWnhvJiS3IvJZ5o2p2W/mvZObqYPTbU64HkRLO4Fuh/K6bcDFBrFjc90cQQPYpRjaZaJYy+FrH42phyO5A8tdiTCO9lGOl2GtQkJp5pkommHAfW3gDTeMy8xucR8USim1wW4TJLNJMNWymJt/NWvrNmLcX1Y8yyRSnOG8dgNfZkiUITUiM+LsclPrXYozntOJdECBcIkcYuHT41wtgLYFY1zVqCbgNtz2IXDSEy2GkFkcasWvSqJWQWXUh8Fyh8YognJfV6LAwfD4TA4oql2giddhZObxrRzLbC/nDpGYsH5s/JWVhsKxRyJjYDMXBc7przPOR6LM+nAu+y4Fph4tkSVtua1QWhHTdjMZqqNgKmUJTbqmtWFf2HACKDKrcArZjehGYALpeEhXYQqEciyTrL4m77imJHzCWPP/fpfyME9d+KBvUn//pf/onLP/z+Dsk0VE6awVUdoRXn9sW1M6xqmWSWjYitPZJ9CtCLGyon/PiyiXBeUzQRsRXENXTGBXHU0jjZRFZ1TBI5oZPpgNaBQVxTeymQlYLUykEHUrhYI0JiQDQDQQ7gxhms8eRRQ2obyjZiWSdkn7O4VKJRfGSIpxXRSUFILfZkSbPVpx7HxMcFxcUcXQvlbPKBNdpc4gGK3ZRo6WmGlmpscP1YqLGVp9gRWmbbjzpEzrG8movzXy0IRTASaC4UTLkBTS0NrG5l2lKvRWSP5vgsIprXtMOE+KSgWUtF15jHrLYstulyokpPNC158Q/dZ+UT1uyKB+UGmWmYNDlWee6tNlBIg1EHceY8K1TeXm7TBMNx26dvKwofsRYXFC4W2omLGEUFT8sRvajipMqZtwmXsil75RqJbjmqB2SmRik4rAZcTKfM2ozCRWylS2LjWLmYNsi0dS1eUQdL6WMer8YM45LCxTxajtFaBg7rkWToLlzC6S+v4xJzrou0K4fPI9wwBa1J3z7AbfTR3eaoPSyv5DQbOcPX98XU6N4RYZDhehFo3UW0BJnepZZkf0U7SokPFpJnpxTJo1PatYx43tLmFls57KymuNwXjUPlaUaJxA94SA4KMJpyMxF0rBB6WzOwaBfIHi5wvQi7aikupCg09Tji+U++Q+k7i1PAoWmC0HyO6j7r8YomWBatHHaLNmXRTcONCkzbnEh5QTaCpgoSwO6DZuVjXFc8zpqURDu5th0tX4pMQ6SlMPVoeh1iG1C0weA7DnBqWnzQ50WvUYFZmzGp866wC1jliY0j01JUnjY9xnbVoZQyQHFBmmKFwnWvUfmIOlhO25yA4rgdMDAyla5DxFHTZ93Kuom1FK4haGYuQ4EMUrx8P5luWPrkHBWxXbHlgmHhU3aiGaeuR6xlCKY4Q0/pHqexyp83/0ufsOqeTylIdUOiG2LtOGwHPPylS+iiJiQxZlHgN0Yo51FFhRv3pPjqRbQ9K8XYqqbaHRA9naEaT+in+EEm2YpaoyoR/ZplBVqjTxeQxITYEmIjU9/DBSERZJTIdiiporjcx65a6IzMdO2o1xJcP8YuatphKgY9Vpyq274RB9JEEy3FpVRPlyilMbUHqzl5X9w5JSih7HVmL8lEDtpqszPWasV4zacel0nTGiLRExdXWuxCIjpcLOel8mDKdxvNNpeD/8yMy0cdKpoI6tmMAhhBTem0RCrI302hpFEtpWCwK6GgR0v5/bbv8TGENOBNd4aUiu956Ru0GDJdSwalG7ATzThp+6zbJffqbQof4RE2yd1im2vpMQftkLvFFplpuV9v8Xa5w3Y0Z+UTieYot0l0y8KlHNRDXsie8rQZc9AMebV/n1urS1yIZ3xrtcvAlvR0zaTtEVDMfcppm7MVL5i6jFf6D5i7lFOX09cVK58wdTku6PPmd78ZcdgMscqz9AmX4lO27JzDdijUzRCRqJbCxx3NT1GHiCZYcWx1CXQU6NA1s/M27dDX5Dwf06hA4SNWHWIXd/uJD4rSW1zHnJi1ks9X+oieEZnNyiVEyp2//tnz+aAIKAoXM4rErMcoz2mT49BUPmLZLRpFoGdqYu04aXrE2mGVZ9UNnlLdcL/aZDc+JTc1J02PIiTcLzfZL4fsJjNury6w9AkOw6N6nb16rRugRUTKs/IxWoUOGZ3jUNxZbXPYDvhA/yHvVNvne9LL2UNWIeF+ucGb84usxyus8kTaMTAVV+NjvjB9RobtumVoC6oQsRtPWbiU1DTcKXa4Pd1mLVmx8jHPpIdMXU7hYiLt0cpL1IiMA0k7lPygGdHrhgpvzC/j0BxWA+6tNni2d0ThY55WIwKwHgkCOrYFKFkzc5cyMFWH9GtcMBw3PbbiOQ/KDdbs6nxo59C8tdrhg/2HvF3ukJua1DRUPiKgGJiKJ9WY7WTOtMnZjueUIWLa5PRNxe3lzvnA4HIyAQWHzYC9X7sktU/lMCuJoiNA9M4+qnE02wORB0yWuFFK9NZj6Oe0o4x2EGGWLcXlPkpr2tziehFukHCWE20KoWT7LCL0Euy0xucxIZJ4K+WRzGGlWF7NSU5r6rVYGq/SEc1qqREijZ1XoBQhMphVi1nWXWxejM8jySgeWezSES0adOUoLiQdqCH7m0sgPVGYQtFME1wqnhYh85KwcMGhWgFPTCUNjq4V9YbHVIpyG3Sj0bUmOVbghC5dPFsT78WCLA6lKa3XxKhOt4r2Yk32SHKr44nGrAwuE9aLj4VRQpDmhSB7ZrPZolcGe3mFepzJfnwqDZOqNL2nIktoB5GAMrXD5zHR8ZLoQBpKFQJtL8JHRqjzzncOvIaQWJpxTNuXeDHTBlZXB8SzGpdGJEcFWI1eNVSXRyRP57hhSrByrbWTa1RtJlIfciYVcQIATSRLvB116yEARvK2lQ/YaYnSiuXFRBzvrSaat6AV0axmcS05l6GIiWhHKbbyHcRzGbL6SM4bl8o55SPIDoVaPHxHHn8ma+k9FskSQR6fnIqvRnocKLcUzSDQfwjVBsQzaXQVgtBW6yL7ClZ8DXws6yo7kHV89vrB8i47yYrUDSXGnvVYYUpZI5PP/srvHpMkrQKpEXe3M8qb85q0s9vOYqHiWe2pK8vpaY+2NRRNRN0JtkdZidGeflzjvGaYlUTWnVv6AyglPOyqiUiiTryfyCZbtYKgprZlVifUrT1/f6smoqil4VUqoLWnqCNap6lry7JImMxzEuuIOnR31cQs64i6NV0+nqUaR+Ja2k3DcIHlC1vYRUO0aFk8PyZ7WpHfnVBtJgweVfQeV6BhcHeBywym8uQHjdDHFFTrEdoFkpOGdL8gWrQo58kOa5pBJPmGWnWxLJ1m8KTElKJXDVbcNk3R0Ls3p7rQl2Y2tULjjS3V2DK8U2CqwOaXTsn3Cmlsq5ZqM2PqMjaj+Tn9cNlRwwonzUpiWkZxyd5qxGa8oOgOpSvZhKEtebBcI9ENiW7ZK8bEumXpYtbjJU/LIYlpiZRnLS7kMOsKtoUTSui8TSlczG46ZWBKKmc5LPuc1DlWSUh44SIuZae8Mbn0LmUUxcPlGpU3XO6dsnQx19Lj8yambyqCkWJZ177T3MlULDopsJMVfl1MHHxsOHnJcuePxjz5RODkRcPh77mIz2P81pjiglB7zKyiHseYWU00KVC1R9WtHNw7A5T31GsxoZeSPllQjyLi00rMMEaJ6N+0ws4rTOlIjit8rCl3c4JR9L95Ik6diRHqrwvsfzjm8DvX8JHm+OXBuRGMXTlcR1E9o6M23mAQiunl9PS8QYx1y1cOLvEbd5/jKweXuDXd5bTJibvCR6uAQyb5Z99tz1RkpmZsV0TaMW8TXEfTzUxD31YkHZVv2mbkuma/GlJ09FffNc3LNqENQrM7o/otXUzhIk7rjFvHF5h3DfSyTVi4hCfliKa7jhqPQZq+8/0FReMtI7ti0uYcNz2+fHKFr04vc2u+y8KlVF4KwbVoiUORaimKAEZ2Rd7Baolqu9B5KbxcEJRUd1RdgJWPWbNLjtoBTTAy9e8ovSuXnFPoIuVousZ84RJ+8+BZnpQjTIesNMHQeHtODUUrsAZzuoBCqGfNhQHls9ti3DAraHJLsHD/U0Pu/eEtTl5IWL64SbvRw/UT6rUUn0b4fkp9cUy93aMd5+jpinZ3DZ9a6q3snPq0eN9WlwtqpEhKDa4Xke0Lxaq8kEtDazXJQUF8WlFvZETHS3yisfNGqG0OyrHi5EWDt5pyJydkcqC7REyK/MDhck87cAQtja/yUG4Hms6dsxl5mkEgbNSofkt6ZU48E61tMwjolRiQdcsJl35bQxtLg2lXSkykooDLAz4KlBsBF4vTIryrTdKddkk07x1isK+oxuH8cSIkhO2X92HY4Pqe6ERjC0U0V+hGyTnhY6FVupxc18SqZdPOiZRjvxnyQv6UhUv41aMX+c+2f50mGCZtj8zIejloBryYPcF1mr1IOZ5ND1m3CxYuYSuec+J6XI5PhK7bDriSnrDfjNiIF0zbnDpYntZDXsr2SJTQPV3QRErumzJEfHfvNnfKbUZGKJoAv31yg93oFKM8uan5UO8ez6aHjM2KLTsj1Q2GQN+U5/eeD0qGYN6cr//KWe4uNnhcjHhSjihc1NH1O219h/ZV3tI3FT1bdc0kZKbGakfUaRgrHzG05TlF9IwGOu4Qu8LFFE6+8zOKc+EierbitMmx2lH5SMx6ViNO6pxRVGCVO6fCyvejeGe1ybTNmbpMGCDd3vKkGfO5yfO8lD/umt2M3XTK3//6d3J3vkGsW17J7wFwPT3GoyQ1oKNlT7rG6kk94mG5zm46pfaWB9UGAI+qNaz2fKu6yLSVx/7ezTeZtvI+Vi5h6jJmXqi019MjJm3Ok3rMUTMQyUI95F8e3+Qzb73IKCm4nh5xM9tn5WN241MO6wEOxUCXGOR7OtvLGi8DzNxU5wO133l6lc//9ou8/uAyv3n0LNfiI5FE6FZkEKZm4WTQdjU56fa9uDNYtMzahN1kysolZLqWtaM8iW5oguHDw3t8s9g9pwiLo6zindUGVbCsx0si5diIFyS64aAa8Ctvv8jffeO7aL1mM1l82zoSLxI0NKOIei1BOYedlkLF3VkXicSqodjJCFmM+fUv4/YPYG9f7nEDq6s94nmDS4ywoQonhlaN63KF43P0CB+gy2HWlZP/D+LXUG6m5y7NduloUwMh4DOLnVfERyt8Ju/TZZaQGEJi0L/5Veznb6Erh248gztzAMzRjGI3p9gJLK47GZRF4PJAtR5Q3zOh90iGd37gWPuymArhFCHxqBbKSw26EWOf5FhTbXqJN7yvaMcty2tOGpII8rdj0hNFecGhK2Gd6FrRbtdEc1CTiDaHZuworrTiM1JAeqixS8X6m4roIzI4CHHAD4UerBvw93ukR4qNryrqYSDbV3Chwi4d9SgSNmIpQ9GgwOcx01d3iI6XNIOI5cWI9Bt76LLFLCrMsqYeGqJZjV12GeVa0aaG7KCi3JbGttrMKC7khFSi1JqNHgRYXUggiFyjzUV252NF2+v6BaWoBxEhiQhGYxcNnQkB3mpM6eQaGvEdGd2eo+uW5KTCpYboWKRA9UDiF7ND+a7alHNjptHb0ohGi0CbB178gbd47U/9Nb7n971O+pFj5lc7RlAE1Vqg3Aqd0aZitSNmpKaEtieN5vKSeNSYQv49OZFrGJ+Ct+J2Xm842l4gORGWkHLSdBY7geWVwPi2GPfZhSQfNM8WvPejdzn9QEO1Fjj8mKyXei1gF4p/0z//ViCof+lv/NRP3PiRlwhd8ap1YF4mxNaRdZTZujWsyhj7ep/BLUt8O+HEZrSZF4G5gjwS1LJxBudlA4uto6hjrJHDEUTD2jhD4w1Z1MiAIyhqL4Xh2Z4iIcOq00sgr2881og+tihj/P0+gy/F+GnC1EQyEdKivzt73vSLCfG0xdRiFFPupETzBpdHlBuWEFuyhzPq9ZTsjYeoukF/6VuYvWPqly6SPl6BkarHrlps0RLNm25T9KRPllIURqIL9ZklPi5QDmmGauG961b0qNWmIK7JrKHpG6KloxnFKCO5eG0/In50ig4afudrxN/YQz3ax47WKC/0aHuWemhRWpCQF3/v3XMN32lH572RHTOOClyX/fH/MveeUZpdZ53vb5998psrV3UO6larrSxZlmzLcsaMjQHDgD3ANQyYaxkPceBOghkW1+uCL2kw2DDAZTBhhjRg7LFxtmVJVo6tlrpbnbtyvTmcuM/98Jx6zcwnf6TWqlXVvaSu961zzt77eZ7///c/FG5zcTTLsdomb6yf4oOzl/nLzhExx9c2yArNZiLFaFZolrw+nVSmc/uCDhdGc6SFyL8VcEvtCi1Hur4z7pidtMKK3+PF0RLDzKPmxNMpnG9ltJOQfhbwisYaVydN0kJTsWNsy/ALez5FYmlsXbCeNOimIf00ICs0G08vA+L30LFMm3V3xORgE7R0TVVW0D0e0r0x54P3fp7/dtvn+cBdj/HR5hGss1V0KrIdpRRZXeQ6adMlq7s4/ZjJnhr+la5MpfICe5gyPFIjr3q4vVQ8rGlBMuPgdTJ0JJ02CXiXKVT1fA8QOa/bjhjvCbj8Np/qOzd5/O0f59qNEx7tH6Z5NifciATK0Yupv71H3RZIVI54nWxl2Emq+DrDtXIyo7k0muHai0vMPeAQPOrRO9/kzGyNxeqQqh2jlEwSJ7nDOHfxdUpqbLJC088CPJ2RF4q6HVMgk9gci4qdkGOVk1WR41lKJqsVW+jQriVTcFsZ0tJztB1XeOL8AZIvzuE9FHDGnqXn2cwEE2mKWDmhTpgrpWq7kttuXiGwEgZ5QFJK6jpplSvjFi9dWWLr+QWudlo81d9D5lrcXL9aelI1jpUzMa5IlAuRqjkqJynkNe1K+xyVl1JpLY0XlU2ntjJVFi/d7gF8t2C1lQApqjrmsd5Bzg/muLw+w/krS6xbVZYrfUa5N50aoODiZ/ajlEh7VFFQeC52Z0xRcXHaE1RRkM74tI87jI8k2ANN7kPvqMLvabydCD3OwLFQqUHHGca3cdpjTNUTr1WSi281FK+pnhic7oS8IlI3txtjJTm6M5TXoQTeogrkNWlLGmW+IyRyYLjPZ/1uC+uuHuGhAdtOHb8DOhO1R9pwUSg6NyussUZHItHKKiLnNa5AMNAiObNii+azNuElm5kvWnSPWzgn+5hNAUPpRPJS3Z4Uo7u0cmcgkludqNIfKlmxlgHjf8NrqnLKLrh86khAZdLsKWRSWivIA4lmGl2XUDtv4X05YFx3MI0cK9IYW4ii9sjivpuex1IFDT2haY/p5iGagrhw6eUho9xj1hmRFA43165S1RGvDa7xjlqPzSJlNWlxxN/kbLTEYW+ToQmYtYc07TFXklluq1ykaU9oZ1WZgpWV883BZbbyGq6VUdMRw9ynbkdcjOfZSmrU7IimMy4VDSLNPB3tQSlKHznsc3f45ZVnuc0fMutcYSevMDABz432sJ3V6BmR9StVoFWBBYxybyrB3FVZKAWr4wZnri2ydmmeK2tzXIibNCoT6nY09dburglZYeMomVzuFkBxuc44pTY70Gk5SZS5X2QcHCVrSFJovHJdm5TrlClk/Zn1RsS5Qz/zONuZ5+LGLNc6TZQHdTcmL7R8ls/yvDfEtzKO+JuAIi80m2md0EqZdUesJk36WcAo8/jcEzdSKMXBuR0uDmcJvJwFt4+tzNT3f2N4FbcskA/7m7TzKg17wjD3qWjxuVuqEAuLv8mleA6/lOTO2wOiQtZISxV00gqLbp8Um1ODFZrOhHHuUdEJ7azKZy9dzzDxqFUiGl7EyPgyHc9CUmycUpq9e/2laewT6ITHegcxhUVWaLpZyIvdBbbPz1K5prG3HHoXmjzk7eVwY4dDwTa2Miw6fa7EM9TsmO20yqI7wLcyDBY1OyIrbGp2xKRs2PTyAK9U6SSFXULGbAaZ3Kt5YVGzY2qldLibhoyNy5Lb579fvIMXzuzDRDbOqsuqqrCa1JkPRzLVVYpZZ8SZLx9CxwVuN0YlBlPzQGvyqjdt2mNr9FNnUEGAchzMcIi6vI59dhW9sEBasTG+whlkWHmplvFtkfIqmZgVWlHYUlQmDRe3l5D7tjSR04Lct/C3E7LQIQ8s3K4wRtydsTQOA4fCtdDjHHuUwGPPw9qWHFLzXM5mzRbRcgU7yilch9y3GRy00JNSxTGf4q8L4tp6OSCriCKlwOLAH75M4xMvMfuZqyy+4NA/XkelFnlN1lWQ9c7tKfqvSKmfFp5A2spl/ZsVKrYVKyrXFMMbEuy+xl8TmWpl1WK0x2CPLRovWcSvHOGf9UjvHJAoTdywUBcD/B2FlVqoxOLw//UwM/0WSd1j+e2X2eo1ha4/b8gdmH8kw/gat5sKt8C3iRZ97GGGlSuS+QC3nxHNOlz5jiZZ6OMNLfSlDfyzW6j+GDNbJ6nbGEdRuTQQC5al8C7ukC5U8bYj0BaFZUkTNpA4Ln99jAntkmwvRaPTS0TmHWekDfGWYinSloeO8lLBqLEyQ7TgYnwX73IbtbqJcmSvS+suSlnkoU37JuEupDXxsNox2KOC8V6JvNGx/P3Rt17gp/Z9lqOO5tsaV/jRlVM8v+Dw8rUlsdGMpebJKkWZgQ3R/C5EVIjGzlhgj3YE0aIogYyW5oPXUcRzBdWLGmekmCwVeB2BUqLAHSjcvmJwWG7HaCnnzA98jB8/9DTfO/syP3HsSX7tym34GzYqRYCbKWw+/M1JfP9JQJJmTswXb/iDd0mOaCyAgn7ioVXBSrXHa1vn+Nz2Cc585RBeW7D6VgrVVUPvkEV0XUylMWGhJnS0OLNJMun2Ba6AU+LUpgDS1CbwEoZjj2oYTyW5u+ClXfN+nMv/n2SaOHWYqUhnw7NlQrTWq+N/qg5KoiPcgfwed+6LmZ0Zoi3JYJ0kDnO/W5m+VyuRHLqkZhG1JFsuePMmmy/P0nregrfvsK/e40h1i3ZaYfVVAzr/x920Tg/JQ4e0auNvR8QtT4zQpUTFSsRjqje7jE8soTIzlfPuhs0bxxJtfiHSksmCS7gqfrI8sBnsc0nqcnhb+s2HGL3rLk787POcH8xyvLHJyx+4jv7RCjNfuohZnGGyp0J4ts3r/vpZ2lllCizwrXQK97ijcoE/WX8VL2wswVN1gu2SHFrm9n3rv/syj3cOcKS6JT6SNASgl4oEaXf6OeOOGZVTstjo0msoXavdqd1kOmETudhmVJvCLmIjBw+tClwr48nNfUwemMPfLqaEx+53jDi+sMkrGqtSpGYeV/7jMXLfwuumOJtDRkdaeDsxztUd8qUWeWhTKMX573YIlobkuRDQzGqAPbR48Ud+h7t+7v1UNtLp9c9CTXipL5Ckmoez0Wd8dEauZQm+snsyOcdAtBTijDP5fs4lWI/IA9nAsrrPeNkj3Ihx1geY0GP9tQ0Of9dZnn3sCHnFgCWymO+/92v8w6+8FisDd5jj9DP+2ce+9L8USpFxppAeT2XcFl5kPWvwS5/6Tpqny9gRR54/r2fYfEvCK49cZMnvT4EXmdEldCSfgpUyo1mPatScWKbZfpfYOFPwCwgcxlGiQJBph0NWlI0kneBZGS17zKVohgf+/laqVwpZCzIJ1m6f0Jx88xkaTkRaWFTthFfXz5KXSP+0sBkYv/xZPoNcvh9kPp85dZLZr7hYZTyJTgomsxbxqwd8z/EnCa1EppzlFGAXjrQ78bSUKeXOOTtphSW3X06NDL7KcFRGO6vil5NS8fvaWAj4QySZAp56uruXS588RHXVkNQUzlAIf9VvWee79z2JKSzaWYWGPeYL770b8gKV5ljDMemeGZxrbYgT6fRqjWnVefEnq6DAr8UkVyvoieKGV5+n/WsHCK+OML4j9/RMHVVCJLKqS2EpvI0hxrcZ76vgdjPsYYKKMvKah5Xm5L6Ns9GnqPgUjihG7G5EOhNgD1Py0MZZ65PPVLA3+/RvWWT1tQp374j5+pDtQYUP3fy3/OQX383sYzaN8wnKSC7pue9xUJlQpFXGNHM0q+fsO7TFrx/77/z02X9O9nuLrL1GpqA6Vvjbiua5jCtvA5Uq+SzA2xayt0iUZDqae7LpWqmQoI1dyITTkcJzd73Kfbnvc78AI+p5mggAACAASURBVP+92xO5VNIwqKWIVn3M9uUmjRdt+tflVC9qshC8Doz2Fji98l6sFfzUt38CR+VEhVOqFmwWnS6nJ3u4GrW4OJyhPQ7418c+xy/+8btpnTUSeVDSlt/1K59lxenw1PgAM/aIdlZh2e1yfjKPpQqW3R6WMlyJZrindo7VtMU+d4dPtW/mltplhrlPWmjm7AED4+OrjBxFJ6uwk1S5tXqJF8YrLLgDnhvsoZsEHK9t8KvLT3LoE+/jwCcEGDJc0fReN+Et173IvfWXOBcv0tAyrcpRxMaZAsUAelmAxnC4BP788ZfupXlafp+Flt9xFoD7ji1unrsmagstE06DZPEFOi39rZAYezp17ac+lVKZ4ZTqGa3MFMC2u86Ncg+LgrScFO9+7aYBD54+ysJXRCmhTEHctIjv6/PqfReYdwfTNe5ouDEFuqWFZsXp8tXeMZrOhEWnz5d3jvHi6iL1L4a4g4LMkyYxwM6Nii+858P83+tvZt4d4qicGXvEdlZlnLtUdVw2rjzurF7g2fE+ZuwRD7cP8+2LT7GRNqYgosg4NOwxprAY5D69PJhC7t7WeobHR4fpZ6IIeXj9APGDc1SvyNoS7BhGS5p/+8E/ZTVtEVoJw9znpfEit9cuTdUcaaFp6DFraROA1ViUTo9t7af98BK1S0IRTqsKZ1RQuxhx9U0h83evcdvcFfZ4Ha5EM9TtaAqZc1Q+VaGcHi2z1+9M1860lPweDqQQW0uaaMx0v1+NG8y7Qya5M51cnx0s8OzzB7EixdxTMNhnMfOSxPNcez18y93PcCxc5/xkntjYvPiLN6IjkWSqxEynYIN9LklT4GvNM4ba5Yjxf+hTdWPOri5g+g4nfm2L/NwFrJtPMFmp4gwz9FgkuXlgl5NUI5Cj9TFWlIi6ZTbEaIU9yUlrTqnMopyepsSzvkxPHQu3mwhvYslnuKRpnUmwv/gEANc95vFse4UrL8/Tek7TfDnFHqToSTrNXj/3nrp4Fo009tyORbSc0XzOJn9zh9HQ58AfWay+LyG7UsE4BTRS7FWPyg0dhi+1sIcK48l6mPkSo5KFRTnBE+mqjhRZtcDfVIz2Gfwti2jB4LbLTOyghP9FEqtWOAVOT+J/rEzYAXkrQ7dtjvzM13ntsxF/8LV78eYmVD5f5cR7T/PMxgo82GR4IkGNNPs/LdT1XWiR00/oH6mUUCK59lml4Dvf8SCfunSSuepILGfbMxz6sKF4/HnUrSfJ67LH7e5TojY0JeTKIq1rIdgP5frpQUw6E4p0NhNqtpUZsbVoRRra2FFOWrVxBhlZoDGeIq5ropbIc2u37WAKyHJNf7PKsfc9hj55XKCbjqgWL3x7VaS5mcLtydQyd6Bx3hDNWngdyWj94Z/7O3758bfinA/QEQTbBeYdbT50w9/ygU/+IG5b4iV3LWpeRyBF0YzCb0tcXjRXFp2WTF7TikxHS8EG9lAmpc5IYcVSyGa+TEO9tkiAAd704w/yocVnufE37sdrF8RNxfB4ytxyj53zLYpqTnjWpbDgpV/6qW8KkvRPQuILMEyl+HC0ZHKFTkrTn/DW2VN8sHWJi50W9fNyUPB3dkO6LYLtgj2fsFGqYHtYIc5sotQuoSUwSRyBKdk5aWqTpZo011TDmKCU/0rmlgAXJqnDIHbxtGx+lpLXVHVj7l08x3849PecaKxjf7khmWI5VFfzaX6cf9Ynyy0GE48st6RgceSmt1IpTp1BitfJ8DuGyXzBxmoTPbFo35nS3qrz3OUVPn3hBr569ijXPebR+q8PM1kJcNf62BORCGCBvzbEuyo5XVgSq5IcnMPbGONf66NMIdATR6QFhRIpauFapDUbt58TzXtMlnza13ts32no3xGx8OSEs799F9UPXOULj76Cq4/s4dOP3cSZ97vUz43YecNBMaO7Fp075qcHo9BK6KaBHEYKxYlgFUdlvG3ueSZbYSmJkwIgbinGCxaf/JX7+Oujn6afyaZ6INghNhpbSWj3rDPCs3JGmcdGVOPKqEm9PIBcHZe5TqWkuJ9JbFBaaHppQMVOGKQe16KmQHkKi2WvxyR3aJ+ZIdiSDTVuWoyWLLwHatTdCY/sHCQ2NvuDjkTE9DMyXzM+1KRyZgeVG5KD80wWA7ZfEXDpbR7h8hCtDWlsUwljDty8SnBLm1v+n/v5T7/whyR1jbszIQs0XjvGuDZZwxOCXM3HGWW4OxNpNOQy9bL6EwEA9FOSmiO030jku/YwIZkLUZkh2Ezk9R1pMdlb4aZ3P89TL+8nDw23nzzP4t4OrYMdWvaI4V6L5pObWLFBZQIKiowzLdZ2abKp0dwcXuKw02bF7rD4dVnYdFTgDKQxMtxjsfdvbJ760nEyI5PS5B9J4AaZT7+UA05yISiPMpeKFuJvvZRcTXJnetDbbVBoSvgJBZYyvKlxinc0n+Kttef47KkbqF6R6Vawbab4+PlnMl5uz5EWUhDv+sZ3PaI5Fr6SRkFeWIRWwutrp5l3Byx8zhGojUY6lxU5aOXnq7w8mmev22YtaWJQDHOPqo6msrzd4nT3fSy4g2lxqimICpuocHCsjEHu41kpTglwiY3NViIy4gV3wIw94szDB/G6BWkgxamVQ7Bl2Di1wFrSJDLOVM5oTVKspAxdUwo9jDHNKvmeOcY372PjbQcwz79Ia35AUI8I/ZiZ69q41/c5/dXDJD/aZu3eBvb2ENOsYg0nUtgqJfdHlJHOhKAUwXpEoRWjfRWR9/pCsrSSHBwblWQUCnRfusn2IEElGd3DPtlclfFKQPf2ReK6BfMxtTDiyuoMWWbxkw98L7ffcAErRUBJvsZZH8g0M7bIAznIFbbk2+05uM1Hj/8Zt3su/s9VaJ/QeDsW3o6FsWEyX9A5bnP0z1MKp6B6xUJHUqQK8VeiB3JPvFKFJR4tty+eHuOVJOBCpqTGFmmvymQSa5WE3rhVEK2kvO/NX+DcfX/Eew8/TOWy+K3Cq0LT1LH8O/6mIp75RkNY/N56aluICputrI5vpWxFVdb7Ne5YvMLfbN2GM4LhikVSV4wWNVFT87E/+WfM232W3S6OyrkpvEwvEw/eyfAah71N0kJzc+UyW1mNZ4d76eYhJ6vX2EzrOCpnzh6UnnMLSxm20xqdNGTWHfL1/hGGucfHz76SRy/v54VnDvCry09y+HM/xOwTms3bHbZukQmE95zI/R8bHirp3JMpEdtSBr8kZlsIiOe6YIPb/YvcUTlPeFWOIbuZyFlQUpr/bp5r4+Z0XbCtvGxWpVOCrymUrDWpRzsJaToyeTXltHGSO1PLxq7E1BRqSuLdiSt4VsqJyhqHgy2eXN3L7NcdydB1SktMr0A/UqeX+qzFDXppgKXMtLFXs6JpEbfP73AyuEpoxbxz4WkOLeww3AdxQ6b+SU1iwVqn4b6//2mazmRanF6MZkmN+GjnnMGUsPzk8ADbcZUT/jVubl6lm4e0s8qUgK6VoZNVyFE4Vsai0wfAtnL+dONuHmkf5FrUFMrxbzcINqXhZU+gf0AT7BhOT/aw4nR4uHeEhh4zyaVAd1Q+XePaueQS73VFontjeJUPHvoSlVU56MYNq8y2VvSOBoSrBeudGvu9NutxgyW3z1rUkHtAZWwmNcbGZZD7xEZzeTJDVmjWE/Eu7/G6rCVNxrk3pcTvvqa6HXEtanKqt8xGXONUb5nLvSaNvT3mnoRoxmLuuYz+fo0yBYtfV6yORTK9yzKwMjkf5Z5Gj2KJILIUftcwXiqIj0T47Yyz/8JlfachxWmsae7p8+K/WkA3G0RLFfztCD2WQluPEtztsTSYQSBGwwl5zccaTLASg9NPZLo1EmqrMjJkMI5V5sGbMmoPBgdDtm6x6Z4s1797bqb9yWP8z6/fwrVTi6hKxmgPeA+/JOeS2QCV5xSORIGZ/RH+lihAskpB9bzNnu++QPZ4C+flgI1XeiTrISpXEhk0tsmWExbe+SLhqqJ2WejoSd1gXAHmeDviPaUQi8Vkb4bbVQyOZcw+rbBH4G1ZJQVdnmm3q0gaMghQmdgyjAfFyQH2vhGtuQFHfubr/MPq03zmF1+HqmSEX6rSvitl654ur1y+TFaF+vMuRS0Tb69joccpTjuCoiDYSqlci/A6OX67ID864c8fuwvPybi4NsvZawvkucUdv/8MFz50N8VTp1Cpwe7HpHUXe2ciKqKRXEsrNXg7qdB7r26BkQIyCzUqFTCplUhxquNcpvCunPXtUc5oxWW416Z3wObuH3+M//Rjf0xxfESnH9K+0qS/U6EyJ4Mv1R+RLAoAcrIYyL4RKbwOApcqJDJttGwRzULyPR3e9OMPStNmxyOrGCYrOTt3pSQPzfI/2rfx8j//GIUtzYTMR/LIm4rJfBn71pRM8uoV2f+ysKB/rGzi1UBPwOgyIWQsxamVyTrt9iXbPVyTf3P/vzzLhxaf5eRv3S977+sixnsMdtvmJ677Anoupv6MS1Ytphmx38zHP5kCNbTF+P6PP25qXOO99VUAoheb2JEEydsTOShbKYwXFd0jGusLrbIQzXDtjGY4IXRT0kyX8TRy7nJc8bmmuWaSOISO0HwdyzBOHSpuQs1LyIxFlmuy3OL43CYfO/IX/NLCc3TzkIc+egcq+0aOGUrhDiTjcP7pjJof47spnpMxUx1TaEia0lVTRkbtOsrF0+gVHPgfpZE50hBbmJFDNPSo1yc8tHaQ4487BH/7KN1b5xjuccULZqBzYxNT80kbQi7Tw5hCKdIZn8mBJnqUygPcS+TgGMumHrdEoqEyWQh3XqHpHTcUfs51732Kq68PsFoxZ64uQj0laeUEazbV5oR43ifYyckqcjAxtkIjB/TY2Cx5fbppgCksrnPXaVpj0kJz+C9zwo2iBDtJBmqhpRB44w//KHfWLzDMPV4YLFO3Y/YEXYaZW+LlDYPMo+5E2JZhxetyLWqyFAxo2BPSwmItko5qjsUg9Wk4E3qpz96wS0Un/Iu5h/mxpS/gWRkvffQkc0+L7r52NcfrGrxugT0uOL2zRMVO2InD6YQ2d8WHGlwbMj4yQ+HIppeFFv0jhvd8y1dxvtggSWxcP6PXDTl/eQFTKHq3JHzg73+Qz/zGb7L2mgbOICWa9+kfqwmS3hNgQtxyMJ4Q3nJPJt2TI7PELZcs0ARrI7Kai5Ua3Ksd4lkf//w23WMh7qkrrN7r4P30Gl/53d/jay9dB7nCm53w5NNHGEw8+oOQ3/zqW8g9uPyuJbytsfhiSyhIwx7LQa48aFV1zPXONqEq+P31eym0wu8YyXNNpNFgpdA+btM6XfCly0elm10eQP/xh1d6igOdUrNjPC2yvLFx0ZhpXAwIabRuR3SzkLxQpIXFq+tnOeluojF83//3E8x91SV3hf6qCnAGuXQFm5r+IKBuxyz4A5qO3HsWhqYeExtn6otbjRu8IriKozL++Im7MbZQ6uR5ltdtbGichSc+ewMfOX8fNR2xnVbLaAWfYe6Vhyvnf+nkR8aZxsQ4KhfZpnHQFFP4kl/KfrtZyKI34IC7zVFvg4985c3MnJK1zcpExmO0dECDdYs5ZzD1qs3ZA0zp9VRRTBH6qChFxSnbN9eYzAu9tfv9d/POA8/xnUef4b6Vc1zX2qIZTkgPxIy+uMBv/tjHGB9uYW33KDyXvOphdYboSGAczuZAYB1K/FO1U9tCgk4NyWIVE9hTgMQuRj+ruiRNj3g+JG4p1u6p0D+gpcB9R5+F2T4r1T733/ll/u0tn+EdNz3Dkeq2SHdLCmMRuBROgQkNemRh3AJnIFLfHzv0JY454lUeXFfDHotnxh3IVFMB42XD2qsC9NBieNsEoxFfqVfKbKPST1OUmb5aDgOFjUTCWLJW6Vi+LxzJraMApydwiBN3X+DCO/4LPzd7lhO/ez9/+ov/jNzf9egUVK4ZvLZM+pvnszInFtJZiVPKsXBURsWKCa2EzbTO2LhcGzQ4Mb/BBxa+xBOPXicQCgtyV6ZwccOicd7wwd+6n8f7B7kcz/Dp9k1spjUpJrIqDw+PkhqbgQkYGJksRsZhLWkSWgkz9pB2ViUt9NQL66icG8JVIXkXFl9fPUgS23zX8ac5/90f446ffz/zX/DIXYXXLkmQSUG0YHj0w3ew5PXoZz4PdI9Ni95dDyMwjUy6LbjIij3h4xv3UFkz6EgOYCKpLoEftmL9Tw6ynVQZ5S69VOJbPCtlkPnTNWOQ+qUdIcNSpoycSghL1cWusqeqv6GuScsYs9saV3hr4zlu8S/zkcdfT+NvqiLby8EdFehYfM/+TsHLndnSj2rK6Z8UIbuNhtWkRcseMTAB8/YA30p5+cl91M+DOxBAVmEpdBkdsfIl+MS5G3msc4BeHtByxiWhtsIjvUOcCFZZixoMc485b8j5ZIHISOzVMX+dsXGZcwZExpG1oLC4Es3Qy8V7OucMORjucLS2RaBTnvz0DfQP2KKg6cte3DyfM563+PLPvZp/Xu1hK8OZaIm6HU/X77yw2E5rjHOPzaTOk8MDvGvmMW73L7GeNaRQiQohnCqEBFo2Zg58xOK3n3od3TTkyd4+DIrVuMELw2VMYREZh9W4QdVOyv1B1se00Gyn1WlhalC07DEtZzRdQ+fcIQeqbd46c4rtcYXRMzMEf9ak0AqvW9Dfb1O9ljOe13i9nK1JRQjoXo+KlveXtFzcrUlpp0lw+gmdYxrvuj7+Sz7BExfANZi2S5FZ+PWYNNcsXrfNpftPEp5awxpG5KFL2vRJZwIKV6w/dmcsme2uUNGTPS2h8Doa3U/QkxR7lJG7ZcRh08XbiUX9lhrW7gk5+uMvkB8fse8fCuKmzcbPJuxcakkWbaJg6JDuj3nxwydIm6KqGx2uEy0E0mxd94hnCrwdS3yHIZx6cR9ZWHDobzr86Y/8OkWY4x3to+oJTiuCgc2ZP7yDYNuw9cocewzBhjT/UDDZm9M4J/ukTsDuybNdPWeLX7GBSHHdMspkRxG3Cgo/F4BcIbYM9k5IVyskmyHz3/YSZz9yF7f+0v1s3WyhdlySN0uj5cwf3sFTf3Qj6bExaQWsjjRPrFxAk/FiSB446LFENA7224yWFWfv+yNaS322NuuYRFPEmjyy+YvTt3H07kukb7qdwrHk950Zor01kpbEAjrbY+JZBz1OsEcZZv8i0UKASjL8jTHG0/ibE2kqeBrjCMjU34xJ6g56khE1LXpHofGta/zG8uP8u2ffidaiI/HmJlgDm/G1KrMPtsj2zGAPU6KlCkndkoZCWBDNlRPqcNdOAtFyxhv3nuFDi8/ykY98J6aaSZ7ryMLZdJgsGB75+K3c8NH7efVbnpsS5of7IKkXuD1pVjij8pzjyuRUx4rqBZusWhDNGZKmWF/SujR0/Z2CuCVgre4tKc6w4OT7n+eZn/0d/urI57n+99/PZCUHq8C65mNqGVk9598/8B3kbY+0BtVLsrZ+sx//JArUKSwkcwX7rsQj+srqebSSl9h6QbTXVlpMD6YSRi5yqZmXEqKRyySRCJhR4qLKDNM0twicjKJQWFaBrfNp+LN4US3iXE8hDqrMR40zTcVLOF7dYL8t3Y2f+Mz3k4Wl30tLyK89Mbj9DK9vcLsp24MKceqUFDzpflQuy92QBTK9HBzwiVqSw7d5q0P1MhQVMWjpkUUx0fSuNhhNJBNv6/13Y08MwXYmcpBJjt/NmSyHqByGKy7jA3UJ77YlBymrubIYhDZZVR7qpGnjDHLcfoYqYOMOVyYFuuD6f/UCWz/6Ko6/8WV8P8WyDcX4G7Co0bUa4UPnGC3ZuDsR/k6KPZH3uCvb2ZVSzbpD9umYqHD4y9Xb2TnpYWVMJU67WUxxUzFatvmtF+/j2fYeLFXQTkIJi1aGU71l8WGVObPz/pBL0YxM1ijYSmpoVVBzoinAZs4bkhibfUGHSe7wnvmH8VXKY5PD/NXH78NKCylw0oI0tPD6pgyth+3LTXqJz5HqtpBTjfx3WaDJmj7+lkw59SCid1gW7D8/fTu94zlx18cYhXYMXjVGW4alZcmS28gzgm2DcTXB1RF2JHmyXjsmWgioPr+FHsbkdRdnmEqOV5zjDspNrOpKgZAXJHtbOMOM0fUL1C/HXPjAdaQNwz+c+CTH/uj9qLYj0vPYxp6LGHcDLG3wZidESxmV1YLJnirGUfgq/QaYBwFfaGVYcTt4CtICHjt9mLJWR6dyEKGQzQkgblgEn6mzE+/KvKXRVLMjHCsnM9bUKyQeVyFoasz0YLx72ASBIwWlb/REZY09ToeksPjg8+/Gb4u530pL6WVWoBODOyzlPjse61GNxNiMcm96iBRy5i6pWDHvDpnVknPafNLF7EJv8nLCVXpLjANuB7aeX2Ccu8w5Q6olHOQfF9Zx6XPT5bRoFyoSFdJgcVROVE6TAHp5wHZcpWmPWXD7zOoh/+aBd7HwsCINFXkpLd2Vn0umMVyazE0P+5YS5H0euphaiHFt0BYqSqZAhSxQbL8l4tRgmUnu0HKkY1t1Y4KK+Fh/6DM/wurrbIa37iWve+KXaVWxBnLwKgIXK0rRA4m6ksLRAi3rjB4mWMOEwrXBlmw5ux9hPCGHo+Sw6nUKtm5VTEYeoZOSGM1j3YOsJi2Oh+v89Qu3kgUKZ5AQLXjT+0ElCuMX5BVDFhYkcxl3+lcA6ORjhntkcuMOCpxhOR3tKQpdMF4xHP9/L8C2h06kkx+sWyJZC+Q6564g8XNf/rxbjO6qPQqr/F6X+XFuQdIqqJzo8M6FpwH41Ninedawfk+BSsEel8VtCtXVDHsCtcevlfdUgYpkcmoKiQySqbjDIW+Ls8MFTAGulXOT6+NvWyV1GJE3+0IPjmZE0vzAA6/AUTk3Vq8xyR3W4wbbaZVuGqBL0NGVaAZH5VOZ+a53WpfkWIDttMYBb3tacD22up9BN+TY8iYfWnyWEw9+P+5Qim3jyKRTR3KP6VhRPzecTnAPhdvT65eXECALeeZ9K2W+fC6fuLRfiu683NfLBlHuCqgDBV958Rgg3tK8EAVDRSeMyr1G4uIMTjnV3I0pGZf5rJKfLHAmuwQm7uZu3lM5y0Gny0dW38DMgy6Zp6brnDLyVSeyJvQH4fRnelY2tQt0sgoWBZtpjbWkSc2akBZC6T3yrx8uLRHyHBda1i+AqGVR+Ycqb5o/zYXxHBYFe902x8J1lv0+q0mL/UGb84M5MiP3isawndVo55USArVrybCnRNzneivExubl8Tzf23qU2Ng89j9uJFyTZyMNKddPAfNkoUSWAMy4I24K5dnSGHp5wGFvk4Y9pqYjlt0eWaGpWRH9wuM/f/mt5L4UpFYizR63V5B7irQmNFvngs/DVw9yrLrJm1ovsOL1qNix+JwLRVIqbnYl24FOp5E4DVs4E1UdsZNWSI3Nk4P9dNOQpzt7ub12iUHu84vHP8HSozlpRZH5JbG2K9daJ5BWRDm3OmmwHjdwVE4WSARJ2vJJmi5p1WG0NyC9bUiaavZ8ZUzv9UexvJzCNRQTTbQTkGUWw8gjrRf0XrWX/PRZ7M6E0ZLDcMUlabjYg5jxoQbGt5nsrX3jWQgElGlChzxwyGqOQOFCe6qyKxyLzvU+5lU9ro2aBI/KlHbne8cMuiFUyjGWBXbPokgtVJjhtiPc9QEqh/CKfPV2LFSuiOaNKEaOj6i+bJMHBeaZ03zgpXfj1hKSRGNiTRaJpYJUsfEaw7H7H2UyXzDeJ5BN40KhCvpHRK47WShw+gKcS1rFVCGiIyGbp9WCpC4qIG/dYbInQ2VQXxpgvxhiwpzrfuwRfvLcaeYet+jfPSGZyzGhYbQVQmzh12L6R8C6HJCFBeG6VTZuFXmgsYcpk0WXtO4QzTmkVaGzfzWSZ9YNUzAKNS4hXyOHXuyz8f4I6ytPkbYCkXiH4v81jiZtBdjDnHg+xHgCrbJSQ9YIyEOntOpJVjgFFI5YR+JZDysv2LyzQjwLZiXiRGud91x4Pb6bkqUabeeYXCbM/qZmY1LDmqTo7T7+2hC/nYMp9+9QGqZeR56t5lnD/L7OdO+bLIDuOBRKaPFZpUDliv51OTqCP9j/NeJlARVVVmWdzj2on4OkBuG6KOIKC5yhFI8qF/m2vyVe111I4HhJEa5LY3bxK5rBW0Z83/xDANzw0fuxRwq3Lb/jwinQHUfOUZFGDy2yakH/MIwOffMV6j+JAnX3Y5S6TDKZRHh2xnWO+A8uZ0PJMnLkwOZMzLSoyH1IqwVbt7gsf9Kh260wmIjMdhy7MimNXcaJw/9ut40zzSgRqJJjGRpeROgk0wnr/maX79n3BP9p/hQANz/6bpovWERzkjNkpeAOcpxhJqjytCCacykKRdWPmaQOnXFAoRWT5RAryfG6KYVW1K7KBq1yxU1ve5HBISDSqFQOY8rIAct1pSv84Z/5PaoPXWDrFoe0pskqGm8rwu2m+FcHeH2DnuQy0UwMKitQqRGsdS7j42jWxkoK7EGClRh6B12ixRz/1jZOz+Liz9zC5I1DotzGKWFEKlfoiej5izBncN8xkrqie7ImYcUD2QQGuY9tGW4IVwl0ypw9ZFAIBXB7WMEei9fTyuQaUoDXFql2FijmPxryuZN/jSkUFTsRKZAq2BP2yLHYX+nI5C23cZQpScEpw0z8fI7KaSdhObEy1OyIYe5xU/Uq19IW63mDP7sskvfxYmn8TwrsWOShzkjysGafEsDWhdEs7SQkrVjkvhyyC6UY7wkxrqZ3oinSP9+Q7QQikbEL8kyTjSRvt7NdY/1aC2XgHf/lZ/n6hz9G+4RHtBxSuTSksJUAqXop+VyNvOKhEiNyk2Eq1zAxWGlOoUovoFZkFenYOcOM4YqLcQo+9Oa/4PBf/p+kcxnVwz0wgvfOYhvlGJKOTxrbzB/okIYQrI7wuhlj45WB5jUJe8/CUv4aY4BxoQnPlx3LjDICqcCZSJGf+zBZEqrdM6cOFutbIwAAIABJREFU0EkCLo0lrL2dVGgnoXjHykLOUmbqKx3m3hSA0nLGzDnDacRCjkxO31p5gbu8EW9/4APwP2fIXTkY5574aPVEcO/seizaFgv+kMBKpjI1rQoGxics4UjD3GfOEeJhZFy8jqGwv9Hw0ol8RSHNKAOVq4o/f+RVeFZKLw/Y67ZlSlpW6UEZjwMycQDxue4WIZYyU1JyXEqqa05EVccc99b4s627WfiKw2TWIvdKP0hcytBieV6cYcHZ/vz/UgBbcYZ9fg3r6qYUjTtdisAj9+SQX13NObl/jcxY04lvYqQZt6/VpfHGdey+xevf8DS9Q/bUPqDiFFPz5SDgagkkt8vtolxIVWLId2mVWk0p11aUYnyH9vUOWzc7OMOChcdHjL+tj314iKULLm3OlIVFwU5aYZj7oArGK0IeDq+J/BurBBXFCqcrkCG7llKzFI7S/En/BIUSgISV7sq+y4xStyDYO+ClnznEoU8kVG7dIa0VjPfmWEmJ7x/Ic1IOZUo/GOiy04+SbnPaMOKdGsomn7Uyfvemj/MvG+sA/Pyv/CAb35JgL0wobAg3c7yewRnkQt7W0L9zL9lKjPHkALDidIgKm5eiZS7Hs4RWLJEtUZX5ymjazAi2im9IARM5sOiowOsWVDYMKw/mfH71OJFxeGPzBZa8Hkf8TW6vXaKqIyGbl/dmrczu3JXzpqWMXhp9ZqoO+PzVY2jLUIw1nzz2aY584QdZ+OOAyaw1/d2pYnfKXNI1i4LLkxYvjpZ4cbhEaMUlnMibTmeBkvwrtq18x5uuLTqRdcVK5BoYF5K6YvarLl89e3T6PO8S4ncbyv+7YiM29vT5sMsIK0sVpXpCitgZZ8Sd1Qs0rQl/N7iJU1+QfS2pl/dDLFFvViL3VaEgb8tr3U4qdLNw6p+8NbjIYW+TI/4WNR3xquASSelLh7LhYUmeoU6KafMr8xUzp8b89X94K3+w/2v89aWbeW68l9Oj5amHt2GPabgTZp2RANb4xtoSGZEvj3OXsXFp6Amz7pC9YVe87Bt7+O3N1/PZJ26kfslIpmIsCi6Q62dsURIVluJTY59B5vPseB9NZ0yOxT6nzbl4EV9ljI3LS+MlToRruBiaVsTSA9IksSN5bzouVShANAvdoz6Ns+A8WOfieJa/374ZUzYIhQSc4JagJ2C6f49zl+20Ri8LaWiRQVfLqa5rZcRG85q5l1lLmvhWyi9/4PvpHbRJ6qLqsidFGXexqzyArUstVoLedHpuZQVOPy2BaeILHS1okr5HUYD78jobdynUhodKrHKyrkjGLgdaHY7edYlrb8tZ/4l7SOdCZh9ao/VMVyZunk1wZSCFR8kdASQuppw0i0xVMi3TqkT/xTMeo2WXzusi3n74FJc2Z1j69YeY/dUrNKtjas0xRaSxe1pUfLFCOYawGpNXHKI9dZKa/Kw8lIIlWkmZfaaMaHk5FCuLZ1j92XvYfnyRpO9h2wYVaYpcsXxiE68V8ZbbnuPM79+BdWhEdW8fr1Ng7ILKZRu3IzaHvGJKAA/424qsboj2pFNrxC7YTvYvqFy0mb9jg9HYIzqYcOx9j/Hz55/kw+/7PrbvSzAjB7et0QONNdF4cxPuPXCOYEORNnMploxAfnRsCE6vM1728LdTYXhkxfR88COP/QD5yMbkFlgFhWsgtiC1mCQObz98irWfvgf95ScZHAqoPXiBtG5P0w/cnUj2iM4E49lT8BGAHoqNxWiFcRSFUtgTgyoKhssO0WsG6Nu6/MubH6KThDy/tcSJ2U3mWwOyTJOlGnJFFsheaJ45TeG7DI80MI7kiLpdRWVVPKjjJTlvbd+iqLgJ7aTCeg7JnEws9URJlJoBr63w2horhdf96Pv4hXv/jqxaMDhQ4AyluTg4JKqhLCjXghySunz1yiiiQktT1hmVDclqQdyU5mvvsMX+uQ5vDHJ+9OrdRAs58UxBYZf3dirnJm/Lpnqh5AGtK2oXIbys+WY//skUqKGdUHNjHJ0zyRz2VzqcdMW/9ifd24kbFjouysXGmvpV/B2RH0SzBZM5i/nPySbiORlJapMkmjy3mMQujiMbpCnjYrQq8J2M0ElxdE6c2wwSj3HqoC3Ddy09wbdWpTg9+uX3Yr7WonuDwevIRdotagpLAncBAauMJV5GqQLXztATI9SzuiuQo40Jwz0ekzlFXsl59OWDmJUI/JzCNxS2fOLlDDshv/nIm/j3Z76d9z74KPt/8xkGe23scU5WdbE7E1ScEFwd4XYkPsYepug4J2m6JE2npMgpnLFhMmsTz/oM93rEs4r33PsQ3bZAnBZfs4pt57x0Zg/ddoU8lUU5b2aoQyOUVdA+oTE2zD64hsqhd8iedul9K+WF8QqZsfAs6XaPjUf0fBOdisRYldM3d1CQVWSCHLdg+xUub/jg/TTdCS91F5jzZANb9nuYQnF+KB3mii2wGouCC6NZHGWYL0PGF/zBNLohtBJ+cO5rVKwYV+X8/Ed/gO7DixhXOr3RnCwszjDHHuWSdxbJwdsUijubl0iMkNpUXqAnJaChmxK3XNKKRFgoo3C3NUUzhVxhUgsryJh0fYJ6hFNNeNXdL6Jv73LDR+/njh94BuMohodqqEwOC2lN6L0ql4gZMd9r8ZyOYpKmR1bRxItVCVke54yXHDbuDEiriv/67o/wb776XVx/02WCmQlR7FCZHeO4GcVY41zx0CMLpQv21rpMFhWDozUKS00njMtul8g4U+z/fruNhagb7GhXeldMFzTxo8rzZ48U0bxi/hHNE6cOY1uGThKSGM0w9RhknsBNjCYzGrsEITklHXIXqjXIffqZj2+lXB+scdJd5bFoP+84/T1UnwyIW7LoBZsFXl82d1SJeC/jR2qXCi4OZ5gYdxpVkReKGT0sD7OSkbpki3d7ZFySmhK6bMF0UiywJDWVRdmTguCqzZe2jhMbmwvx/HTtGpceaNsy0ylqZJwpQXQ3biYqbDpZhaic9L+2doZQxzwwOM4z/+VGRntUCYkR+c2uHxYlB6jcVVzYnJ3CX8bGlRy8lXlYmEF3xzDbJJ0J0bEEYlf+6hH6sRTKTWdCNw1ouRNCO2G1X2ep0idt5Xz5c7fwzh/+CsM9LtGsS17xSJoextPkocjPVZqjR5JnWihF2nBLqm9KYVlY565id8agFMMDIXs/uUn1qhRSZ3/AY2+zS9Tz+N6Tj3NgoY2vU5b8Pv0s4PxkjutXNli5bY14bwOMwdrqyjStlYknVMlE4PDiNrOW7A2/9uBbpmCdtMTmCwSpwF+zGW9UyOs5l9/qMfuhgGxWMlGNy1SqHmzK9UfJvaxjZGcshFSJkj8b35C0cuzrBnzw7i9w0JYC5RX/+X4Gbxihtl28x6voCCZzJXU4tJjM6HJSq6DrClnTga2sTmgltOwR1werbGc11pIG7XFA1Yl5TfMcnxiFpFXxQdpR6YnsllLyGYv+QYvBHhvzN3MYFF/rH2PF6TIwPgu2TObPREucqKzRssdEhU1qbM6Ml3BKkJBjZRwKtkiN5ly0yCeu3Yi2CsYvNXng7b/GTY++m6W/99i8VZqd23dn6EQ8TV5P7lWnX3DuPTVuq1/mO2afYM4blvAnkbXvAtRyLObtARawkQe4bT1V1hgtjRkrE1mtlcjBKPdg5ks+T2/soZcGpe1DpqbiK5Wp6e7fWcowyrxyjRF1iEZAScPcY5/f5nX1F2nqEb+3/To++oU3Y4/lQL07LQVZ8wr9jYJLj6Sw2Rd0yAvFHqeDKSweHR/hXLyIozLuCl8GYGACfufhN6BvOIbXFdVJ5st7stKitP3A2qsrxDWLo3/6fhxtWI/qXBs3yzihkM2kzj2t89Mp4qLTZ5D7VLU0YHdpt+2swti4nOovc3PlCndXzvLUnf+Nzz55I43TNtu3SKzF5u2K1rlE5LgWZURdwforPX7m4z/EitedNjOW7C6XEtl3B7nPnD3AUoYZe8iocPBVzmTOmk6/jS3Xzx3I+/O35SBsbJh5IeHptT1lZq1Teu9rrMZNms6ErOQFTHKHjbguGeRpiFYyxR3mPqnRXIqk+TnvDvnbizcxY4/47V9+F1u3ihIsrQq8b3pPOeKVzDzFzNNalFW+TKCspIxjiw1uXwrkySKEM2OqYUzn3oMUizF5M4NaBhYUukC7Oade3IdtGWqzI0Z7DUnTJp+r07+hiZXKOVNNJKvU6USSfTmIJXNzIj8rmhNVlI6k8UQB/YMOOzcp/CDh0x+/hyP/4hlGnznM6e1Ftk7No77YQmVKvIVuQTyfU6lFOJ9vMJl38S91RGWXGYpqjrGhcsFhsF9o5VlFLA6tZzX73naRdF+MU4slgtEzaD9n6/FF4p7Plz93C4srXeb+KsB8vUU0VwLeSh9hthzjberptK1/IiVY1bibthDShxI7ojKJ1hrtNYyuS9h8epHCKI790OP85LnTfN9XfoSrr3dpPeTSXO6TtHLyao63d0hRKD779CsY7zHMPaLJA4lNsYc5xlGMTy5TP90Tv+jVHuNZTVYpeMt9T5GlmtZSnzzR/z9zbxotWXaWZz57n/nEeONOOc9DZQ0qSaUqqUqAJCQ0YNlgsIHGTGq3Bwlog3Eb7Ha7oe3GNs0CA91tbDCzjKEZZCGQJSQ0IFQqVanmqqzMrJzz5s07xhxn3ts/vnMjpT8N/acXsVaupcpUZsSNc87e+/u+931elGPBM+Ba3E7O8PICv3f+tfy9v/0HXP3xR2ms51TH95G1HWn01q9gN6NsBei0kOZt/Sp6IVnPrzO4BXCV9FyytoPxYfXXIt504Dqf2jrD0zcOc2yhzxc/fY6N3bacnzIHujll2+Bcjer7JcMblwLcSoRXkLfFlhLsSuPMuJaGl/PGzhXe9/J34Q413kgLN8GzeGNFcqDCuJbJQwlbr3X5sc/9Nd7x2HM0bsu/qUsETFXn4+ZtRb4g55+ixXxvrEKxwIDQfps3FN4UDn3zVd77jY/zx+f+gPt+7gN84nMP0jw8ouxUc9XL3r4a7sD0kOHYw7eYPpwwO3BXefcXef2lKFAtzDtoe131wLnbFd0sWqCZE8n2pECSp1R3l6va++DB9E6D4TTCGIUxej451bre2HNvnmfq1O8VOCIVano5oVtyrLnLW6IrnPSafHzmET0TU7Qg2HLwxhZ3ukejFU9SFThUnnhJ7cxlMpMrG3nlvNszz09qCsmq6MjnsamD0hZntyYHlhoci7sh0is3LJllPk+MT5K85V5W/s/Pz4tQQLyKqzHZciwRJKXQ45SxtVRK4c7qKdxIMrNmK5pk2fJbH/sqzrzvS+SLFdfXFpmsN7nvnpsoxxLEBbZRQaWkq5g6JPsqqgAm962iKku8aeg4CQvedA6lGRQxZ/w7ZLUUqHWVufdW5Fxy0NqTUO5RG7O25k9/+/X0whm7uchFr0yXuDBepevPGBbiO8qMx6z0ORQPammv4Oc9VTEqI5a8iWTLobiY7ONfvvT1ImOuiyp/YonvWJHvOYoq1CQLDk4usrxRKuHnS/6UoF+gKstsVYpIDMS3JmRdkdjYSKQvaCsSEmVhO6C3OqLXnLHYmfJnF05Slg7qtUN+4fCfsfbWmprbFFmPP8hEsZOVBNupBG5vDDGBy/REW3K4Gk496akYHQ1ETtKzvOFvP8v/03+Y9vKEtyxdwnUrytwhvdISufFMky+XeEemmEJzeXeJaMPiTiXXrKglqHtB9iC5g3Et053V2ba6AmUtTlHDknIr5Oo92VokC1rvGYdZ6ZNWHnnlzmW9QtO0dX6pL8+cLuTgWt2V+Qa6ZFhGHPD6BKqi68y4/cUDcp9U4E2/TN6fy2eZryO6BtpYxSCPiHTOyEQ4ddD83gTFU5UcYq3PRtnBulIY7nXS9yJF9hoWe+8R9OH8qwcBagBUyE4u0v+9Jo3kEMpzO6mCeXZqYVxCVaKxTKqgBtuUHPZ2+fBH3/QVMlgnY/7z7j03Vsm6V0wlmxXAwc4nxyZ0saEHlYR+O5kl68ifjdKA2JWJclJ53JgsCOW1JY2dpUMDiqblE+tnefQfPClRVIsB1tX1dFKC0MtuJFKnGp4U7KTowlBFHvlyhD28StmV/Li8pXn1u5fp3weTQ7KebU6aUGg+fec0t/sdLu8ucWvWFY9yDTj7niOfxzqKbCmiOLaCjkrQ8txhhQh5pNmfWz/cvouTQbQruaruTELKg75C5/LMoy1Fr2R4KgZHoB+6uFuA1FwuoSW6ci+XsSVfrHAmQg/WmRy0cC1fe/QS379wiRWnwakPvp+sZykSj85F2X/CbbmGla+koVNPzLKuwoYVZcNQxYaWk9AvG3XWqM9+b8C1ySLGaGalz0l/g5+4/O75NDxvywHReNJg04UAo3RpQcMvPfsYi96U69kSDpZr+RLPzI5SGIdr6RKxkzGrgnk+6vVk6e6E00i0yOXZErvjBq0g43vf+1EOuU0av91hdEy6894MWhcEKLbnQ89b8nN7Y821dIlnZse+Yn/fW1f2bCAtnTCziqn1cROkAVNPJqj9wLqw9T5R+7BdSJ7tETkF40KgOuMiZFyIzHaPEJxUQtjdk/7uyXs9LU2dBW/GUX+bfe6QS9k+PvrUa+hcknvJm1r8kdxruuZFyPcte5U/kHVlUOeUbpbtOYlWCvAAT5WEShQ98RWPyZmuWFlqX5lTWKpIGl/GkzU0XVIc/0jKvsaYvHK4r7POqAzZzRtieSkb9TopecmlEa9p0xHfsqMMxwNRm71x4SpdZ8ZHBq/l4ae/hdO/mpH1wB3L3tu+DNPVWhFTQNaSfcVNoHHb8oXd4/MJ9dhE84K05aQU1q0jXiTypbBaDrmhogzUVxTzurQEQyPPjIJswaXxhyJ1vTlbmOfPVlYxLeV+zGuvsKslc7btJvQLmaDu5USXxuF1zRv8zYUn+cZjz/OrP/X19fMh77v8bEkZqboJINJjNxXJsXEVhXG4OltiJ2+StyWWT5V7k27Je/TdinaYMTijMYWDmjkio80VullQ7QSoSnF1t0cvTjj84Dr90y72yRdorKUCl5tkVAvS+C+6Ic60oGpKhma+EEpT2oA/yFGlIdyWtXR0XAq/o70+hz6ywfUffZSdcYPBnRYmsozOVHUKg6XqlljHMh2HlE3YuddhdmoRVVqqho8e1rn0x0qq0IoqpKwtKT0h5WMVWMVsN8Zr5ujr8jypoKL3+k02ry6y+ZDm4L/+PMmJHF3I35+cLPFuBKSHCqwS77637ZIuGWnmuRZ/KPEmbgLJvorWFY3fzCkbhmYzZfZNb+SH/uPfJr4Y0LwF+XuGZE/2ZM12LdmNJlXpgFH0Tu8yOiETw7JTYV19F/4ZicTVei5FS1E2Dd+2+AU8v5Sz/q4nZ2zPoHJNOfHQhWK1N+Kwt8PfeM+f4Xzqafr3NOhcmqAqI8Woo6giVyCACLwvb3tkixJDtDdscZKSKnbpXphQBYrpQcXBf3IJrQyXby3TiDPGeYA5llBNPEzuyL5Wq8r2muLlSgdvUsjZuD6DlLEV364BdypN0uVwQmEdNm70hJdgpeCM17RIgkNDvq/A9n2KhqV13uf9y59m8vpkXpTGaw7eWJgN0piFKhB/qpPJZyoaliq0TA9ZygYMz1bkHcuV7UW+f+lP5TPHlvj4iHE/Jlx3ZU0baBq3pbE4228JdjWvXl8lfjpCF4r0y0CBf97rL0WBquuMttApyErxjOyZ2AE+u3YSJ9mTu0lBuCfj8KYytkbLFzw5rDjwaU069XHdupOlQGuD75ZSlDqG8TRkmgRMMp/1cYvdJGZWeGSVS8dP+aalpzjuNfnQtMkP/fzfEb+SqilkVgAKe+hmXdXI63pDDTZdGlFOVrgkhdx9eVtkuc5ejEhisY7FHTuEax7VxAOjiK57qEyhJ65Q0MKSajvg9ftusehN+Yc/80Fu/rPH2L23SdGSjcadFAQ7sjCWsSvk10FOdGNMtJ0T3plSBU7tOYHdc0HtO4HTP3WZV3/6Tew7usMDJ9Z4z8PP88qTx2DgkY4DKNRcv69y8RX0LlQ4aUW0NsYfV+yWDZGG1rdTy0vp6gRPGdbKLkVLzQ+DeVuRN2XTatyp8KbigalikVK5CZxtb/DC5n4GeURpNbGb0/NndLyUfh5xJ20RuzllTeudVMFc/rUajPBUxaONVznrJby78zzupztzD1fjjpl7qGQDle/EnU/n4esOX2AzbWJQFA2ZokZbhTRJClkcq6COm8g06bG6AxlXRM0MFjPGk4jbdxboj2ManVQKx1faPPRj7+fyt/58ncFY4G2MKGMP4zuU7ZAq9gi3MoqDXZxJJlJHBY21FJ1VlJGDNzWMjmseeMsl/v2hx/kvrzxI5Bf8/OfeRnKxS9TI6Z3boZj4VA2DyjTpQDae0XaDwaOZ3K+FmcvQ9iibe3AfB4sBdqoG3vjuc7d3cJSDpIClRPpbX9uW4tqHT8jkVVcsh5N5VJBfS/H6ecRm2mRSBewUDZLKv+uDtYqDQZ8jbp+PTe/lBz7+ncTrdS5X7b/zZgYnl5DzvVgeqCXIFcwKKYAnVUBDZ/OYmbym6Ya6qH9f89zocD05AeMonNzWsjc7B384mfxsyljCNY8PP/4Qkc7nh6mOmzCrfDxdib+v9lLFdXbhuAoxKFLrklmXY6EckF9MDvPPfuM7aF+Waac7sxQt+QxuuicDk8Oe1fKduzvenPqZGk8200bd2Kr9s8bXOIUl3Kn93kZzMBrMIU6ONhyNdznQGLLgz0gLF3emuH27xxObR8kbSmiEhSHriQKjijxUUVG2Q4wnmXCzAxFOUqIqUW1YX3J5d+5zyboikT36kYTJAxmq0IwnEcdObWABYxRLzWl9KJXv7L7OOn+jeWMud9NpDc2r6sOvlU2v/LKuRPcVKUqrQBNvS1fdTcWL6s4gWnPBsSwfHLD51oIDH3VwXzuQ5lTd6XUySPYZylC+73C3lkltCRlYlxJTg4UDR3b4kdVP4imH77j2VpG5xQY1dhmesTTXpHEpyH5DMDB4ici085bCbRUoowjvOPN8zlt5T7J20bT9hDgQYODbo4q19QUqXzrbRVPWLevKRFWXe/AduXc6T4T86qe/hj+8fR+6JrsueWP2+0M6bsJm3ma/P2C/P2S/N+ANras1addlUklD9fzOPpbbEx5YuM0PLFzjwX/zAYpYogTaVw2Ds/WkMdkDGdV+zfowdSdtczTYZsUb1xFTau6Zruqs7IbOcLA8lxwVOa+Re529X4A3k2JRVZB1pUiMtuDJ20coa0q3QRE5BYGuqKyitBITt1esgkCZksqfk+UX3CkPBAJe/ODVR1h6UhRBqqx9xp7CS+z8gLjHTECJ1K3liTw6MT4Nnc099DPjs1s2CFXJkq4hZi+W7N7j1ucVuXZ5U+GNLMHAoDNF0ZDD53RfQPLDq3xV7zKm9tnuD4dkxmXJG/Ps6BAGxdOjo7TdlAVvxqgMiR0BX6XWo+mknA3WAbgx7bH8vj5rb2vgzqCxfnfaXcayVhqXuYeujCDeknzZUBes+EIRXnWHzEzAzPjcyhfouVP2uRJfdMCRSXcwlAaJkwsIaq/gLUM1b8zMVjTN2wUv/tezrM/alMZhfzjkcNhHK8Ptupu2U0hRt1JHzezJt43VNJ2M4/E2XWfGv7759Xx07V5RWASKxrrF+DA5II3mMlQ42V1Ps3j4Lf084lDUp+Fm6FKYHGVLsswBnJmsLd0gkUbsrosz0zIVdC3OrRCdKWgWTEfSMB/MIiYnS27/48dQn39OaOauJl2N0PW01PgOzjBFJwXBnSnh5oz4+ogqrJ+N2CXreZS9Ei8sufj0EV75viXi1+1QVYr26gQbVgIaGmuhiSe132/iUvmQHs8kmqZuUlrPUq3m+DvC0lg4LwVOFcLR39/iRHMb5Ri4FuM2CuyNmPJghnfviMYLIU0/p/e0JtpUfO0LU878909h3Jq90s7xx4pg3ROYTibPnD8Qwq8/0EyOConYKgi3HKJ3baK1xVtJ2PeN5/E/sC5DmjcMSVYU6aUO4Y7l6IlNgdT5lmrmEi4mbK91aN4EPdP4Ww46F8l6GTsYVzJGTT34UaXia0Lw/ZIs8bCeNJ3szBVlomeoAkt/GvEPv/itdNyE77pwk4VfeRw9SkBrode3BTo1ORqj0xJ3R65bsJsTXd4huj2t1TqOyI4DgTMVZ2b8p+Of4tNXT7PQm7DSmpAUHlpL5J/jV5iJFM1UMl2e/fU34uyKlbEK9LwpHm7XhN1I/L6qUTIuAk77d+r7xtQ53JbxmZIqNmLJsvXE9WBKGcP3/aP/kctv/2W8icKbQLxuybsSKQN1QzxXYl+M6zpmoAg3ZQpetCzuRBM92Oflx36DI26T1/34BygblvzlDv5tn2yxwnqWcAeqUJRIqpS6TA9cxvffren+oq+/FAVqVW8srjJ4dbzLgjub/3n/Thsvsfhjmf4JlKjCzQxOJoe5cEsWQ/GjKjpPhOSZhwJMpXEcg7WKwK3I83pRqLNSY79glssG1g0SHlm4xjujKbfKCT/4x99O1rOUTZm4eSOZwOnCEm7leJOyLnIs7kwop24CoV8wnYbM0kAOmArcqUSIOGlJ1paMKBOIrt9plJjYkBwqMa0K06hgfyb0MdeykzX4jYsP84+f+Wa+/Vv+hN7zI7Yf8BiflYU9X5CuTt4RKR4KTOyRdT36D3TuIvzjGumvRVP+6g+cpHOyz/29O7xw5SBPbR7GBAbbqPDiHJ04xNddwk2NMgp37FD5itFRaVlWvq6z02Ra5GrDwaDP1HpUKMYmqv1SMmmMdva8qHYuwfHGciAcH9FkXXj8Rx/hnUdeoagc0jrfbjeXDDxXG3LjktfT2pab8kL/AEu1p2Urb7Lf69NzJnz989/DP/jJD1A0pDhVpXwH/sgS9g1OJljwoilSZqeQDXcrbzLOQyaljz8u9hpdFHVO2uhUswbhh9ZaAAAgAElEQVReWIItB2fbx0w9VKrJrrUEUDTxsTOHE8s7zNaapImPc3bM7kMlJz/5Pt7/v/8OW6+PmZ3skS5Kt06VIgUvG0JMLRYiqtglvjogb3sUbQ8TaKb7HZL9snE/+tw3c2BpwObVRd784EWMZ5mtNdm5tFhPdMGGBhwrMpdCw8TD+Bp3Ws7BGlpJ8H1YeyxjVeHBXUpjLXE2rsJJJGNXF3ItnUSw48pA2ZDv98VbB9hOmmykLbbS5hyEprHMSrl3ksqbE36nVcC0CjgYDDgbrBOoip/91LvoPa0pmjI5czKIdsxcbuyPSpl4ljJN9cd1p1MbxkVAP4+ZmoDCuvN81T0wk4cclC/srtSNLoObyWd0U1Pfn3cLGCeDvKNwJ9C67PCRV++fT2s28xZaWWb1QTitqb572Y97nrhhGROoEqeOzvnlFx8l3Baf694E153KZ/BmBm9mKMO7skdvJtEoewfuW9nCnCiNARN5YOrr5ChZpx48N19Hk8rjxrhHZTRP7RxhIxGY1GwawLEZJ45ssvv0Ct/wg5/iziOS7+YPy7m0SWclxtfz+9NJDc7udE5CHB9vsPY1IdPTOcGgLi7+lyFuWGCjinLkM819FqMZjShjfzwkdAoqNOuzttCjdQgW4htjqki6zcozoCxVJP/m6Xhz/jOVscKb2XoTl7VtD2jkTS3BLoTXArYv93Cjkt37HA7+uEN6LCfvCpEwXRapfrZkcGfMG1hF01J0LJUvgCa1kPOW1Vc5VAPzXv2/76Hcn2GjCutbmjd0fZ0s8XZVezMT/GFFtCv0+YXOlCqW90mtN5c7dpwpDqLomWX+PMLE2fFEQlsfKmRqKcW3qc8h/tgyOCOHmtZVze1rS1xLZUp0PVkSiWQZsORNaklowbCK2S2bbOZtFrwpHTfhyd2j3L+0jlaWt7Zf4Ws+8Hfre9EyPKmYHNL4/TrgfSJy/2xBUTRl7/XGiideOQFIw2vPg71HCgeZpnpKWpkvTQ7gzqTJvAcjclNpPrmJnUvd/aGoM8oYwo+2eebG4a8oRoXsW83v8aSS73SPS+Dqisy4xE7OYW+Xwmp+dv3rKD+6RNqTHFtl5WdyMlkLnKTeQz01v6ZOKrE1uXHZzhpsleLbD3RBoCVvvadzJragsC7hH3yRoC9/NxjJ+uWm8n2C7P1B35IsW4qGIu8GfPBn38W/XP0iL+3uJzMuK/6IK8kyHS/l8myZrjfjRtIjNRLb9cL4II4yXEuXaOmE3995iI8P7uPGb57glR89IRmFpi6QHWnwtG6U8r99aRYrWzcbHEVauUzKgJtpj3EVMTbR/Ofbo5g7ytBQOc/lTVn7x2bu+XRrv7w0m2UiAwJk2XjYJ9iFzT85yBMbR1lPO3x8/dx8HW25KblxWU86PDc6TGZcbqVd7uRtLk5XSSqPI/42nqo43drE/uYy2YLI+kfHIdySgtSfCKNkr0+xJzv2ZtDyMvpFzNXpohQXrkifrZZip1wq8NyKtXEH499tTuSLFcrIdK7qCczSTl3agZjXH33gEtOjFes/+ChlN0JlpRSgsS9FR+iirEWlOaqq0GlZ02Mt3ignW/DYflDRXR1TbEU0bmhWT29z79IG3VbC9NUOeugSrPlUkUWniui2Q7Dp4o0cythy+MAu2VKAO0jRSYlONO66jy4k1mW2X4YNxreM7+nxietnMaUmuGeIqYR5glXkmTRVFoIZrVsF3SslP/9nbyP4zD6OPXYTcyTFfyEme9209o7v7f2WbKmiCizpvhIbV4SbCmUU+T0Ju8MGZeFw9N8qfuHG57hyeZXqUEr4sTblvVPciaJ814AbF1fx+q7YkmYO6SBExyXxlsG6ckazrsKbiGVMWSvDn/6MMr5LiQ29Esc1onKL5XnWcYnjCzCqFWVUuQDhKqu48c8fo7p4mSp0cQcJ4bUdqCzexJAcboO1lG2ZgtvIZ3a4iVPIulZFDtf+Soh9aMRPPvw73POL72ehJTXMxrjJ1k6LYhjgxCVl4rKXTY8jqQi33iUWL+so/EEuKp9SQH570SwmuDt5vFN20DONO9YEu4r2JYdg06FxwyXcscS9mZDvc4f733WBtfeWnP3l97P6ljXGp0pGJ+p6qSXr0p5feC/n22qxMaZLlqxnKBuG4J4hP3zPx8hswanf/PsM35DRvKHh1FSavbmidcWh8mF6wDI9bOqGKji5wtn28SYQ9O82EP+811+KAlVhGZfBvDMeuQU9d3L3zwtNtFngjSTA3RsXuGk1J+PtHSK9sXg6rQNlE7zzsZB7HcNsFpDmHlkpoxjHsURxRjPI8Z2K1daEhTDhbHuD+6ObeMrhLZ/5fprX6vm7EVx2MBRqqDcu0Zn8ciYZzkxoq9G2FDSVEYqE48iBOtoqQCnyrvx7Tg1ecPfPMD6wHuCONF5fuirO0MHs+DB2Jeuq8ImCnHefPM/zo4P89O//Avsen0lnd2NE3hIvRdbWEvasFOMTDZJFMUtnC/Lnlbfn04DmsSFvftuLdKKUm9Muyysj7lu8A+2S8KZPuR1hFeRdS9GWia83lCmZP7WY2EdZy7CKOBluzQ8fmfFoqIJBTTkM+3cncE5mCIYV3tRQRJpw18z9RlaLjHJ80OWT/+FN5EYmakXtXayskvgfIyCcSekzKCJOtHYIdMl62uE9Cy8wNhFX8hX8X+pRNvbkdQIb8SdGvIaOgAmc1NC8keDWRbRVsD6Toj+tPIrYFf9Q08EfFhRt2XCKpiwW/lBRtUtwLLZRUTUMdtcHR7rK588fItw/pdoJOLwwwGtL0+F/++1v4d5vPc+N92oGpxw2Xx8xPBXPyafD4wHD4wG7Z0O2H1licMoj6zjcfrPLmW+5wO+/5+fY+KmTbPdb3N7poDLF5586i+mU2KjCP1gzxB2LHju4mx4mcVGlEi/VSPIz97xhe7AUiZhJ58/eijvGn8gm6mRSsIjHwNYxKHc9VQJNkgiF+EsRN15Z5crOItuzBltZk616Kg3iOTdWMygipqV/dwLuDRlUMd/yzP9AeMeZy/bDLZFsiszf4o1L3Gkhfo20FAjDtBTAkbLEbo6vK7rOlAqhX+5N+AMlxf2gasj0MJFNCO7ScuvzroA/6oaKk9TFamIx1xo8u3OQ20mbFwcHSCqP7bzJbt5gO2uynTVZTztcnErc0Kzy2cqbeHUUxudGZ+h8KqojSYSktyc/d2owC0ihKlEXAmFAM/e09rwpOi0oYxedl6iiwsYByaI7h3rp4RStLCfDTRa9KcfbO0RuwbHWLl0/4ek7h1hcmFAMA65c2ofV8Gt/+Da8U2PWH43YvcdndETkvgD+1hQ3KfF3ZoR3pkzPLqKTkmR/xO23W6pzU/TYpXsxoTyVcPPqMsXMRyWygXpOxbTwOdAesZ02cZXhZLjFOA9YrLn3WUdLYLmnURMHO3VRlZLuf8PgfRkUx8kt3ZdHBIMKf1QR7VT4U4M3g2BkyXpQRnLwardmpEdyXv1Bh+6XfPKlSg7mvkVnzD1sRUvIk1WjolgpUKsZ/uqMN5+8zN9f/Dwv5QlnfvX97Hx9Kl3wXKMykcCWgSIYCrxrT55qXUXQL4i3DONZiDvRlDF0nRlLnmSWzkzA2ISMi4A4yOfKBr9/l7eQrKg5MEt80XKocApL96LBH0vBc/TDlt994XW8oXWV9y48y3bRZMUfM6wiNvM2F2b7eGmynwuz1bliYrtozvNBP33/h/ihj3wH4wMuwcAyOKVp3rA018xcQZQuiowyGNR2l1Kat2S6jiVpSlYwag4T2iNcN+rnL6k8gpGVzEfzZVCivFYqGYGyKXN32l2GisbjMee3VpkUAVtpk820SWYchnnIpPaeDouQm8kCXS+pwUiK/d6Awjr8zMY7eOJPz0m2bUX92aU4dfK7KQFuUuGNK5zUzBusaR2l5SrDsjumWYPPZN9zCfeamfXU2MnEG10Gkq/p5FKMWkfhTmuQyECx85BhfNAl7Bvu+cgH+NbDX+JzGyf49Vcf4U7axtMVV0eLjMqIric5pddnkum5kzd5oX+AX197lPO7q3zi8w/iTaHzkkO6qAj60pBVVlRDedtBl5Z4qyLeluLSnQlVeCUas5U3absJHWf6FZT3zbxF08loqJydqiEgqFIa86oSKa2b1haQQgrgPcmvMtJocHJLvGHZvtXli9ePErgll4bLXJv0+NzGCV7c3k9SemynDT53+wSbSYuXBvu5MV1gUgX80c5ruJDu54kfe5jxMYnfCPpWpmuVNDDlfS3utKpp+QLUsxoOhgMCXbIvHOGPJb/eOoq8IzRdLGSFi1KWMqrjWTKIbrm4Ew2VQk0cGHqgYZKL8uDWpMuR0xvE79hkejBEFSV6s4+7PcYdJvibU1FedRrMjncpFiLSQ20pXhseGw87OGfH+L+7wLl/dZMf+75fA+AdvZdZCBPYn81tbv5QzzPlq0CePavBcyqKWNbOqunXFDPIO4ZgR5QC4abGxhXbr3EoX+hAqZlsNWQSfnyMs+lTDCUS5Nqwx/qbJevY62S8+OwxnA+E+Ocjom2L93yDbMHgD6RJ4I0U3lAT35GHYOWzHkVb6LLH9wnV+8S3P8vHf/dX+aZ/8T/xw1/9R3iXI6aHwFpFFVuKZxfwhprqUEq1PxNf7NDBJK7sC61SmgU1+BOEnGtchfVcsY2F8vtJ7lHuhjhDF1UTZe3Ix9bFdF46+HHBf/qtr+WL45M89O6XWfvhx6gih93X99j42v0UbQ9vUjJbcUmPdAWUeSBk6+EFiliTLXj0zwbcedjHOzXGcyuemR3ltW+/QC+a4WhL7BcCf+pmmN1AbDlGzem4lSf1BUlK2fCwniZfkNzZomNqSrJc44WeJFT88s03o0vJ8c67lnRRPJ/Gg9FJKF9uowtoXPJ58qUThNcDgh3F9bUlvuGRpzn21ddJjudgYXLIzoF3UFtIVgyzR6e4Z8aY2NA8MuJ7z36Gb2v1+ca/8t3oTOFs+EyOGuLPNGnelL83OltStMAfKcINTdBXqKJeY8e13eX/Q8yM++f/X/7/ee35Rbp+wqgIKezdj2aDCm9SoNOSKnTRVYVOLcG0IO+FFJGiCpR0GjJN2SuZHSjR6yHVzMWkPjaqKICycGg1E8rKIQ5yHG3YGLaIghxrFW2/x5K3nx9PXNgOmJzJUalDsO2QdyxBf49kWm/WRYUeTKAls3JVaiBgmvpzSV0VChWraGic3ErWkiOdu2acMjzkUM1cKseivYrgaog3kmDjKrJUU5etSYNvO/E0n90+xU+c+F1ulh0GPzKj/KMYdf8yk4MOeUvCmTce8TCuiz8Ur1VjoyTpuRhf0/uDl+k5DuO3nmEInIy3eE/veX5n8w3cGnT59LPnwDUUZ2bYxCW86cv00UCRafKewSk0S0+PpOBuCp1xo2jf3ZStIa+LgsPejvxeUqLqjTFvOviTiiIWOZUuxJjtTWFwf0nzsoubKG5/4QD6nglxmHG6t8122uRMe5M/Wz8hgea1Tzl2c27tHGU5mhAqkdT8xIV3MnlY07glD46qu8h5UyYN0U5VH3oseceniEUm580ksgYk5sFNxburC0vRkvxYpxBJS2Fqb+DUqaEqYD1L5+iQ0eUu3qEp2U7EscVdzm/GXH7mEPGpIfpCE6stJxrb3Di5wJpeQhWK0WkLjhDQgk1F3jPsu2eTw60BT7xyArM45R+d/QxfHb3K09lhbr3LwthDlZrXvuEy5zf2UZWacicky2JsXIlPtldgHANTD2emqRqGdCUgvlVLUXVOal1CXTCuwvl17GhfIEpK7nPr+OhMctGUtTiOpgo8Md17MuU0niVZrTvZA81MNZn6MZPlAKUsjSCfP+9F5bA1bTCZBXSaKbPM43x7lcApSS91qFYr6aJake0E/fowZKT4V5VFT1JUVVFFLioXX21augzymLYnvqlQiRe1pRNmJpj/fIDETeUWN63mniTYOxhbyYMMa69yJItr0RSZzNpaj824hanlheMswKljLAKnIqsc0lqZsdKakJWuFLJpk4tPHcXbr/BHkKwKqc+d3lUWYJCfsfYXYi3ezGC1M892jJ0cDHiTAooSHPFJu5kla4sP1ez0GY0XSa3AR3xdcigeMCoDBnlErzGj5Wdsh22a3RljWiJDer7N9GyGHnqMWiUQki1EMhFKLEHgoCrL7jmX7M1NVAXf9ehn8VTFB92Hufp+F7PtoytFdM1ldk9GFinGacCEgEf23+BAOKAwDkf9LWKvYFSGvJRLsyjvBvj9FBtryDWmWYndwNbe2/qVdVTtuZcoAG9qaF4fke1rUjSkOaeA8KAAN7723leYVj4vhvsJK01qIpaODMhLh8gvOLOwyW7WoDSa/fGIz18/zqHFAYFTcm20yD+172Vt2qE8mHF0uc/q0THP3T5IeblJvGEoYkXe0nhTQ7gxQycFajHA25kxOSC2E3dbDnTjKqKwDlfLZVLjcX90i9y4pIVLWjdsqtgSbddeTxR5V0mAug/BwEAkU7Cwbxjt0/ReLkiWXVY/5vDSAwf5vfHrySuH7bCJpytuTzusj1t4TkU3SlkIZnO/5tcsvcrRYJsb5YSlZ4QGL8oCzXRVMz0owfH+SKScRVuImiAZeeGuZRSKt1buUW+eAayVmUPDKhSegq6fiC9zj3L6Zf5F6qIcZMJJ7XNzEpkAFdfbXCkcHMdweGFAP4tpeDnjPGCqRG4/K3wmRUDoFHNfqrGKTz93D0GdLSjQOenyW6cGnsyqmpFg5/5hXUihY+psZldX8wzkQBeEqiAxPml9f+5FbTVvF8yWXfypTMsqT889Z8og4LcKmpcdnNySdTXHfq/ip9yvI7zhk51MeXp2mKXuhI3bXa6zRHd5InE7w4juwpRpEqC15U2Hr/HZ26c4/RsT1t7apnXTkChNGct0MNw19WS6omzIGmhcYULs7fG5cXld++bc577X1PNUxaI3ZVJJXJdf+/jdOvoIat9uKYdKaYY7AkJ05TueHhRfovGg/YpLFbrcKRvMDhhpQPm1BUmDdS3+ruZy2KNqGJyxZuGrZCL1n3/l7RQPSsO5CmSC79Rxf1Wg8EdCztb1vaRrG48uLBtZm8iR5qjxRJ2SLrh405oRoqAVZuxrjNjRMmUtmtKVcRJF64pmdrCmOnsVG8MWZ1c2WY1GvL37MgA/+T3vJN1dxP/CK6iFNrx6A+V7sLIkGZjbUkQGj19ABaImWlw9zWjUpnN5xtWf6XElW+FX7/01/tYL72N7s4234YlFqmMwgSW67dSJCAqdwexMxnI0YasehGAtVauCiYPOFGVo8XORaoqsVOA1aEvQyshnPskkgMjQvOJSNGBrvUNYKtJjOW49Ytv4SU33Nwxbr1eUnZL4uivZmEdS3OshGKHBHvwTxeCkfLZGX+P+eovi+z0u/uIbOPmf3wTnLB/6zreSf09FsO3AzYjKt+x73R3Wn9mHmXioSqHbOZXjQqHoXkrYelTOMNYRQKk3roFTx0Lxvnp378dOlDKtWlQNg55pOUtUilJ5uKWiv9PECSrOvfMyi/6ES6Nl/tH7fodfvPzX2X5Q0XsJxoddGndq/78VCXHeVqTLlpWnDZN9DlYrom2LE2UsxVM+sX6Wt6y+ypnFO/zMha9lmvhgwHEMeViBVehU400UZbNeC0oFYUBwo096vIff17U/v4Z8aSsS3NwjdnMGaSRN+5qWW4UweG2Ot+lRLhbEl31mh0u8qUvjisfsgKF1VdH9kMNnFk7xv977EZ5bPIJ5SKBln1k/BcDuKMZzDT9w72f4puZ5PpMc5tta/fl+e7GYcv2vdmnclqbhbL+c2VWhidc14ZZicqRunFSyrkabAvYbnJVmUB2g8Bd6/bkFqlLqMPBrwCqyZfwHa+3PKKV6wG8Bx4BrwLdYa/tKKQX8DPD1wAz4Hmvt0/+v7wGkpYerq/nULP2yAtWJS/JuQLAjWUQgmn0nrea+tL1gW9vLJevUrygPpDB1sVHFwUO7bOy2sVZxvLvLgWjIij9myR3zc6O3srvdotFJeer6EZ6sjmJSF7VQEDUz8syjnIUEO0o6ckYw0zrNUUmGnUxRDSFx6UImuLaeoLaiFF3EuLOKYDMhX44wjuS+KQv9fhPXL1k6OGb7/BKq8igjiB7cJXIrtm4u8Hce+wwfuvkafvHZN3Notc/3PP/dDPoNugtTVr75BgBFFjKcRjiOIfYK7lu6Q2kcVsIxT20dYfv8CqpycN53jHItxjQrzrTG/MqLb+Kbzz3LU68eww1KHjh3g8vbi6Q3Wzj1d6pKIcDlixXxDZdgxzI53iTcLjCedMZfE93kdrHAjaxHYQTx39I5u1VMGSp0XlL5EcapD+GFpbFRkXW0FKjA+HSFv+swOStEXFUovFea9Bdinthos7x/yIW1B1hcmODpikkesDFsUdxo8NhjL/P5qyd4/PJx4mYmXcGFkikulW8JtzVFW7FwMWVyKJC8MQXurEDnmrIhpvcykFy2zWmTU93tuXd3uuISb4n3Nut58oFdSxUJWbSKLXmvAscyWGsTjDXqxRbO2YRX7yyDYzn1+ptc2Vji/rddmufxrW91WDo84I2r17kxW2Bz2uQdBy7wqTunecf+CzwzOMyVwSJX3/OL/Nv+MX72/Nt48uBx/tbS47zjdS9xvr/KPzn1R/zUtXdyqDdg+3cPM/3qKeV2CLlGZ7qepslmVi4WKM/QvJJiPWd+eByWMWEt40qNR4GioKKtMvKmwoRS/Oi8IuvU8S2JIW8KJn9vmgqCsHcS2QzcqaYIDdPNBjrRTLoFcTvF1UYOWbMAdbnBwGlgAsvNsi1xHqnI60wgpnsnl4lY0dQ01jOJ35lmUphZ8W2oSrw2eekSOgU9XyZyvqpwlPgfUusJ1VMZGjqjE6XkuksZOnJATWURVdZilK67tDW9sCWL7l5GaXjdx/geVa/ian9/HRFlUGGF41dCD+x76ExxudnGnWhudpZxpprGLdnk0kUkUkrX3f9ADlu6slCJdWDP52dchXEt62mHrpd8hQ0CYygWY7x+KrRYIFnWLMQRJnNwsByKZKP5+O170MriOxVr213KwuHr7n2ZjaTNycMXWEu7PL94gKUw57X3rvGn108wPeijKtj6KoEWdZ/2mR2wYCze6RHJHdlpf+nZx7ATl4Mntql6itEs5DWP3Obxl0+xerBPVrgsNaeUVjMshUB6s1jk5k4XT1d0lmXqMSd+K/GFKaMk3F1Lhuz8x/YgX2ngTSu8kUiQtx9akPgoR5GsiEKj2IrpHNuh5aW8tLuP/Z0RkVvw0BlZPy/Plnigtca94Rqv97fZX8t43z1rc7S5S2kcbpgFAAaziO988Am2coG+FDcaRDuKwWlF54qheTNBT3L0LMVOZ5jTXapWSLRTsbETE0WygXecKQbNve6QzbIlOZ2qwn55JrAn8sTxESlsok0B6+yBwryp3IvbD2r8AYyOuiSrirxr+fAfvonGbWmAXFgpWXzGYXSinkRmivH9U67fOsjLx/dRVZoi8bCJgzd0aEUw3a9J9oE7kwbK8vMlO+dcKeh8Af3sZcTuxcTEnYTPjc6wnTV588KrYB2COhbpy72hoVL0vClVsAcKUbi1EkMVMs0sQ2cORkxWpClRrNRSvVxR3GqQtSouDCPINQQV3d6UOMgZlSGjacjN/jJuO6ccezxnjwLgDh3KhiHvigLGakUwYK6U2PO1i6TdmRfLVkNZk8kX/ISWk1KhOej1CVXBpWSV1GqOOi4tLTExqrYKyLUUf3RjQ5phZSxe4slhyZG0jly30XGP9ouiGCkbAcazbG2G+PtnFNsRg50mfiNn+RMBu/cFVPtyOl8MeFY/QNCF9a+OKJswPqoJt+V7a90qqAKJJssWvHkjzmpJI3ATxWxVcXvS4WxzgwV3hqMs+5wB1/Nl7g3WeLw8Pd/XQ5UwML7AabQc4N1UYUKJ6LFK3iDcNQwWNbYpTd10ZW+kqnFSyJYsplHRuuCRLkOxWKJ8gxp4oi4x4I40xrN86doRbN+nk4mqq/9ITng9wCpoXxHlRXO9RBmZ2OxxL5zMzu+z9aRN20vFS1xYtGuJ11JM6JAseaCkWdPysrtrvgFvpAUYc8TA/pRq5nLq+AazwuNAPOSZ7YMSmYZlmvpsf5fl6I8s0fFHPHflHHE7RWvL2aVNcjPl4sYyeXIagOiVkLPvuYSatbjxUIPvOPMUf7J9ln//0ldRJB7+ukd5NMWWGv96gKnjfPaormUMauZyYXuFlUlOuhziD+UMpTNFsVKw72Cf4edXxZ/rWMb3SBSMHrvknsHmmmPHN0mWPfKXlnnntz7BH/zxG0GB38h545FrPBMdYvL8IrNzitUH73CgOeTOR09S+YrBJGJ2pKR1UQi+RaRprFuWPrfOox96hT++8jWgKx49c4VXfuMehmcsV/+xg76pSI9I0zruJty6s0CQKMpFi2oW7FsaMvz0PqZncpKVYB7R42QVVctDlxLL5+SAqlVWqVzrfY0R6wsdbOHgDBzKlsHtJaitEONZ9u0bsHFpieeLgwz2R7xn/0v8q+feTfE2WD2xyZ3FBVq9KTe3mnjblsljCY5bUeQubz55mRcePMD44gKN032+8fhzPNk/yqubS7iu4cXRAT56417OLW1wa9IlWt6ln0YkgxCValRRr5/Niswogm0H24hkyu5ripZFF0LkdRJNtKGYHKshll7CltOsn11LsqwompbuMz7BwJBs+Sw/m7IzDBmfNCzfu0Xab7HwXdsoZTkdD/mhL/xNlGP5hrPP88bWZZ4ODvOOlVe4kizxaPsyGsN3XPx2Pn7uQzz0pW/jvUde4gvbx9mexbzzG7/Ih198Da1OQrHZBC2qnc3Xa7KeeE/9oVgHvLFMuvOuoooruhf0PAf6L/L6i0h8S+CHrLX3Am8CvlcpdS/wI8AnrbWngU/W/w3wHuB0/evvAv/uz3sDC4SuZBmN8lMAACAASURBVJVNCpFM7OWAAVRj7y6h09fopMAbZlShw3S/S7aoyBageV3TeCFE3w7J+yHWKFYP9+kuT1i7sgRAHGc8e/MQ21mTpweH+cTOOWY7MaurQ7JLbWyl8MNS0NuOIdmJiJ6LWHzOsvpkRhmIV1AZg0pzbCLTtrITYQIXE8gDGocZvl8RuuJRLdouo7OtGsRiZCqXK+zMJXiqSX8ciyfVl6y94fUOu8MGCweG/MKfvYXBOOL+o7e5dXGFrHD5nx/5I771+NPc7He5tt1j41oPXmzxz+//CK0g5/JwiQu7y5JDOYtwMiUo6usNlIV/89bfZpiFBEHB755/Ld6aj3o15uUvHqc8364ppgp/IN6sKrToRkEVyARpckAmKG5q0Vi+ND1Wd5RdFrypQHasYmRCAQpFHroUn2Dj5gxdGPKWpmjItXNnltZFh2BHEdz2cIcO4aYjOU+tAjV1GbywhHs9ZOtWl/PnD3H95hLZeozf1zzxyftQNyJM7jC502TpcRe3L3ld3QuKhQsVzVsVk0MB/sQIPXeY4wwT3HFGVXuNnFwmsr5TsT8c4iYlxlP0XpoQ35rgFNIJt1597ypIV6Up4Q3q/K5cky9UZCsVpu+z2J2gCs3Fm6v8d/c+xYWtFZ65cZgPfuFRnnvbv6Ph5zzSukzoFAynAn1aCBOhb/YX2N5u8U83XsO1dIkfPPdJdrKYv//Bv8e1iSD3/+Ptr6Y/i7i6scj4zQlVqeXJrrHj8VpNPE0ErBC9ElJ0Q6aH4/nhcdUTuFRqPGJHICa7VcVa1RGPQk2SNYGLN5LopLzrCqgglINO4xa0Lyv8HQfjW9IjOcaTjm183cV0C9TYJRmHbA2b7AyacKVBvq9AIRNXlMX4hrxrcDKF39d0LxkWX8zxpqbOJFTo0kBZgVJUvSZVqOdZc0c7u8Ce360ktUKLHFTxPPYCEPmaU83zLoFaeidT88pXTPc55G2Fzi2NWxCvi9zYnSqy1UqQ7FORrzqpwt9ysJmm6gv1unldzzvewa54uHWpKNqgS4U3USy9UNF7uSBv6rknSlUWJ6vQWYXxNGWgJUtxpuj5kpEZ6gJcLcHi+7sSTxS68h3pumFQlji7HpeSlTlx9H3HHudkZ5uicjixuk2nM+OPX76X0mo+tXaap75wBvtCG2MhMw7q5RYP/dUXyRYt/ob4kwavy6mOJzz89vO0oozWwRHDMuLbX/MkyijaQcokDUimAT1/xk+/9Td5cGmNw90Bhxoy8Xpt4wbnottkxiObBKyP2ux3YuLrU5y0RA8mqNSRrL12JQcP+5V7Q+9Chc4r3Jls3t4gpXUzJ28phqdlQuaNNDrVjD67yn+9fI4TnR3etnyRc+07XJis8iuPfxVr0y4vTw5wIT3Av9h4B//H7kn+2qV3c6a9yUu7+/nsZx7gyvoS10Y9DncHPLFzjI9dOMdT/9frOPKxksUXC8IdK7nQxqLHU+xwhIokSxYjDYYHTt+SKYgPG2WH3Lpcy2VvOp8ckNxOv6AXSPOh7JbkTYU7q60suVzXyhPV0GxFk3UUS8+LxNdquZ+O/5ecomPoPyhN3GjdJdw1LD0nFGPrwWJ3wuoXDcXlFuEXmjAR39fKk4a0VxM4J7VKJIft+1zxQvkis3cTS/tGnSc5E79ROvOZlsFc3aKVeL5n1Vfu6waR+O4Nw5W1c1kmQNZ1SRd0TSuG9mXJIg62HbyBxoQW05b3cLc8UBbd9xhstLiz3aE/bFCuxTKZ2wzx+q68qWNxE/F3xeuaziXoXBYVRRnXDSlj0ZlI5kEI/SAS1nk2rXM3i/i52RE+3H8dx8IdQmWY2QJTH61GR/359VJGGk9pz6GIFUUDpgdkKq0qmRD7Q0W4rRifqigjaF2R78edKMr1mHB1CoUiHwQsvDJBAc6Gz+ANOZNDAkYzjshpow05zHtTy859vuQrxk69z0mz37iyzpWh3GM7E6HmLnljpibgZrGIVobHp6cJdUHTySS/VFlaqphPrLzJ3vUzMulryVo2OagJdiG+jURO7WgaN+W7SZdknVp41mV8riDcUlAqmLgY39C5JGcQdyrrnn8xwvqGrAt516BGHuEm7PtigfFrX3SoJXKkL1nvOjNkHY2bGMpI0fZSDIqmk81pqSZwyLqe+GiBSeZzcbBM46bEd+iyjjfbUqhKoUDOlP0OG7ttnt85QH8c/zfa3jPM0qs8073Xl3eOlUN3V+cgqVs5S4AIBmQQGBnbpCHYxmMwBs/xeA5jH+NsxjaDbUwyNniwTZBBMggkJCGUszqqc1VXV67atXP48pofa1dJ82POcH6c77r6qu5du6t2+ta33vd9nvuh4TvclD/DA1d9gRt3ncPWQ+peAjydUrrL1w99hViqxxBdSHPl9llkLEjeUGGuWWCtnuZN208wblWpdFM4T6TRVyzl8Vu30ZfVtNVqCOy68i775QipS6QmOTi0QH1PWsEDvRCrphq2RILqc4PqWiwV8LL8pILHEYNphwhbfdZXLhZpboe7T18KW7qIS5rox9M89fB+vNM5kgdqDF2/yOLZAY4sjNEe0Rn56HnCpCQ12KF7RQ+jB+1xwdptHu19g3zlkVu4+LYIAo23DrxAdwRy22v8zmU/pLh3nYFHTdLFrmpytk3ckZDicIOtw+ssnxzEK0isRZPuoIZZ13HWNGJdU7m14wkiS8NZD5CGtglwBDi5OqSeW1cnciTCE4RVBxEL4kzI8kKBW65+CX3JZv7oMMdaY4wUmoxsX+Pm4fP8xjUPwCMFnLxLNOGSz6o1uZjvcL5RxgsMolJAGGn8y+krCGONHYMVJgs1ptIV6otZjq2OsHByiKZvU22kFHA03PB/9te+ELxSTGNffnMt1F2V0mA2NKWmzAKxwDZVZvA7Rp/HLSti/YbKw89CZ0xR52d+1iJ/xwJmU6P63CCmGXHhqQmW7t7C0S9ewl9c+y2Gik12J5f57cfewbnZIY40x1lz05gi4qnWDirtFHd1Cgyl27wqfZKDxXnEPSXum96LdHVa81nFNjFjZm/XlNJAqqaq2ZFkLqrYmQ1GROGERuSoTNef9vg/FqhSyqWNCaiUsgWcBMaAtwBf7d/tq8Bb+39/C/A1qY6ngLwQYuT/7XcIFDxlI2IGFH1v4zBqRv9OQk20ej5ao4vmvwwRcdb7USVFCRM98iNNRgbrFBNdDL2PEV90CCP1lI+tjtAKHM5XywgrZmUpjxYoLbxjBWiaJO4ZylSug9VRnXinoSaoG54sPA/hOEpiGEsiR8dqgq5JhJB0fEtdFLwYqxX1o1+0fr6bVN7FDclPIBADHu5IiNnSsF5K0mwl0ds6oW9wbq3M9Nu/wInrvs4zrW3846lr+d1Lvs+t286ieRruSMg3V65i7sQwtXaShBmSNnx6XYtgyCd5sMr+a6b5zZ/5PvdUDrEyV+DqsYt84Zp/4u1vfBy5s0M86BFudYmzIX45pDsREjtKD8+6jV+KGP/uHNnZkNjUcHMa7cgmqSsvoyYkq352k+DoShOrLZGmht6L0bsh3oBDd8gispVkLbks8Ypik0qpuxClY9zhCLOmo63aFF4SBIUQvxCpLKu8D76G3tVwh9SJkDsP9ryF3tapvsZF91Q8QWI9xqkGmJ2Y2BRY9QARxWjNHrFj4ZeSyj+W1DHcmOsL50mZPvUgSZgwsKo+7mACbzCpApk7ESIAIrVpTF9QC2CYiclMa8ROTGaySW6iQWlrjaQZQDZAujr/8oOb6TYdpoYq/MmrvsUl3/8Ia60UX7xwMzcVznHV+CyTdpXfmfw+P5zbi+8bfPDQ4zxfneSeY5fxh4/dzlInyzff81fMredZOTLE0ad3IL5XhIUEmh5hXHDQeoLEBVPFMwwpUEDkKNJwd5dHZ8TCqvcl0pqvPKjiZX+fLzXMV0i3Ilt93sOkjlHrYbZ8RdbVwK4rampvUNDcIfGHQqQpER2dKKcCRs02KkZJB61i4jdsQk998M01k8SSWmijbNSnJStZfOQo+qk0FJVOSAgTityH3n9MaQvNl/04iJchTIoKrKERE0gDnZepxUGf6Nv2rc1pgur80/egyU2VQ6I/hdCCPqk4J/FKSjYkNeXNtprqQhOmJEZDFXFaTyNI0Y8/YfNCEhsSr6BAOUYPvIxqKBiu7EMfVKFM9LJFQItefgwKaqWyCUEVC7qrvLgb4I0NoqZIJFReXmxwqj3Mt2cP8VB1D9uTFXbm16i7CbquhfQ0TpyaoD6XZ9+VF4j2dKgu5Dm5PozuwjW5GZK76gTjPtlyh7HxKlHPIGu6rK1nGMs1SOse3zx1CKPcY7ZaoL2WIvOCw0PfvYLfO3E7x6sjLLWy1DwFrnmmNcVDtT3cs3gpVsqnUUuhC40wbxNkLWS9ocLVBaAr+fjG+7pxpGbahGkTzY9pT9iEGRujF5GoqI1yak7D7IBd1Rh89QJv23mEup/gsfXt3Jl/hpsLZ3AWDTKmR87s8beHb2Fvcolz3UE0JBUvzcrRIaJkzGWT8/zm1APszqxw5qVxUmmXtRsDVg9ZdIYVOCpMaIQZC2mZiFyWcDDX91WGuAWdU4tDmzE3AO3+e1iN0kq90Jf2bkDgrDV1jlh9yM5GHFdsQJBQXerIUVPAoQcWGXyuRWtcZ/Emh8SSTva0gdkCswXVvTq9skaYkoSOZO3EALU9OlZdkFyJGX5MkJrXWL2ib4NYFgwcjhl7JCS5qvK/0wuxOpddVZTorroGb2yUnKRP3uxuxsbFfXLvxrGRAexKJbc0XNWsFWF/2ugrEGLUz7O1q8qTGiaUNDRKKF+WtGJEx4BIRQoJX0NaEq2rE3s6Ud+3LPpNLqMl0DsqMiTIxIiwv5HqxSQqwabEUwskaALh9umxVh+oaGtYnbifIRwQSI1ObOPFigo+bteUPQKBKyWdfoBgkBaYHVUc2RWfyBIECYHbnzQAuCXFt0isKtlxd0QirZjEmsQrKMqnX47Qu4KE7SM8jexJk+ZUCr2nfo65apKZVX5XryzpjkicekR+2lMNhLbcbMKKUDUCooSm1DF920qiErN7YJUIwZKfxxFKCqsTUzZVBmpGd6nHCV7yCwRomzArLVITYjTQvD7VOaHiKxRAR9ArC9zhiM7lPbRLG5seyjAhED1NTfUMdY0C9f57pQijB3pPSU2FrfYFVk0nuaRhtVWRpZoz6vX0swaRrWN0A8KUmsIHaV1RvhGk+kGMsg/BCjIGZiskSCmPqaHH9HxT+Ycz6poQZCWdUbUBj2o2mqaGF5oWs1LNcs81n+eL277L5c5FPrN+I9uS6/z51F3MV/KYOY+05fH/XLydgtWjG5oY29pkDI/0SZuEGfDGiRN87ep/YMXL8hcnbyNl+bzpfY+R3F2nnGujlT0EGzYaFC22ECH8fnSMrgBe6XkfLZSEGQu/pCIB7WWToBirAYUlkZkQpxGTKvaInRgpQTNjFp4dVT9rrAeLDomnU5T/R5LJV83ynjf9GG2qDfcXaX9zhOm3fwG/adO+tcOLFyawmoLuXIaoZdIZlbj7e5Qfsql/sIXI+ej9AviTL7yF2ID6hTyfeuAO/PsGaG4TdOYzaAUFnDOyPq5vstzIIMINFZVg+P5FgmKk8qujmMjRMPtgxNjYUGK87EHV9ZiEHWA0NfShnrLM+KopodlKanu8MoK1s8meK2fJm6p5tnR2gF/IP80/X7gKryTxVpMMlpp8bOeDWFbInVufZ2m5wFihgWgZeK7F1ROzXFm8iKWFnJwexdZCrrtUKeXiTEgUa1iWYpXECWUXCBMS0Y++TG9pkDteRYQxkaX2A05FranSUPsEoytUPUDMlLVKakFgNZVCo3wkVqyZosqJZcCj6dq4Wz1GngjZ+vsBdlUQ31pn2/vP8InvvYtaO8mfPP5GDu2YZceWFU5WhtiTWeGulct54Pwu/vjAdzjaneTUSxN85O9+lfv+4Xre9pGHiGNB/qjJ0BOCsXt1Bu+3sNd0ykeVzSN/Jia5qq7bYWoj2hKqV4Z9e9T/T5AkIcRW4BDwNDAkpVzqf2sZJQEGVbzOveK/zfdv+98eG/W0pYUkDX8zdmbjiG1JkNQQnpJY9qaKuNuK+HlzM5g9TEB3IkRu7TE+UKNxIc/aC0MYWsw1Q7OIQCM9q+HN9E+ilsPcep56NYXs6eQOWwwcjtFWlFfOazjkjpukZwy6uzzWLjOo7rYJEkKdHGkL2e0RNdtEI0W0KMaotFUxGvQ9doGOY4SYLSU989M6CKHALr6SM41NrNM70KOY7RAnYoxzCZIDHdKXrpO+bo3hUoP/6813c8f+w/zuJd/nQ3M38Htr+3nw3G7E0Qyfu3Arw3aTuO8HeP74FPZEG69nsrhc4P6HD6HrMcSC5tkC9T+d5ItnbuTxI7sQrs7Dh/fy49Y+0rrHgdElUlmXuGkiXB1n0SQxbyASoer6BAKZCqneMKYkWW210E/aamKlixhbC1W8BoK85pPSPDIzPSWbEtDYnsBZ6ZE71aT0Yp1Yh2QlwqqrC11tr1Q0zaaGyPmEY566eK/HaN0+dfm8RbRugyEJCyFWVcepCnoDgnhXhygfEreVNzJyJJ0hHT9noHsx2RkXd8DCHbCJkzZB0SHIKk9sZCv4wHONrXiRQdlu9yekdj/iqO9N6ksP0VCEv5yS+ZINaN3QJTFnED5TwPxOAcsIWfrJOLJroDcNEnvq2Cmf8ytlPnXsTQxPVunWEywsFmlECR4/v52y0eST5+/g9i3H+ciBh3mhMcGFSpF3H3qKD13zCK8aPsun5t7Mu/Y8SzTkU9i7Tu2yGKciCH2D2Ia4HKhQ7gmXuByAqRbF1BkL54KN2Ys3J47dWFFhHRHiiLAfBRFT1CzyWld5vB0dsx0QJnU6O7J0JlTWZWSpGIH6bqkw40MeZsWgcFhHhIJMuQOmmrbkXxJoPaUc0DoKNGE1BbnTkFyLGX3cg1D5MzIzanIqpDL9NycNekUdoxv3I1AiRLODCCO8goGz2lM5u7ZAExI/6he/IkLvN70yukte7xL115ZObFNtphRpTlcbSYQqwjcmqJr/cgh9b1DQnYwIU2oyLU1JVAoQkcBsSZx1gbOmSKdGU1PofQGpBU2RoyuSMKmyAdNzGokVJfHtDQm6ZYMgKfqbKQXG2ShWQ1tg1dUk3+iqqZROvDkJNuo9COO+HFF1Z0UMhbMh4fwCAA+d200oNbKOy5hTZ4tdIYh1Vs+VVCZ0MmTXzkWQcPzoFgYKLT5+031UlnJ0JkNWgyzbClVkJNhZWsM2QjQr4gdHDiCbFmeXBvnDwWNcOTGHYcR0q0luvfQUzUt8wpSk27VZOj9A1nGZqRVZd1NEUjBkt5idHgTATqn1JLL7+YTpNARqaoGh5L0iEJvvH0Dtkix+RsOodTFcSXfIornVoT2qE2RjmntCtOtrDN60yGXFBZphgrVOmlMvTaAj1echKTn56BRPLG/jkolF7lm+lNP1IY4e28qTJ3aQXBJM3C85/cOd3F/fz7efvgoRCNrNBNftPU9nt49bUj5Quxqg+TFybhHZ6tDYlSL9/EWIFUSslG8rD2IMRb1DTu9y0Sv1YzRcSnaHrmdtKokmHvA2I09EDOmliOJpj/KLDRAw+FyPse8tkz3TZP6tY5x9b5LmzkhBKdrKZ+YVJe0tfW90P94kLIbEjsTbpTZl9R0aSzfHNC/xiSZcJa32JK1xnSCtYXZjooSaBHZGBW5ZYLViwqRGkFH0Vj8j8M9mSRselhaiE296MU0t3MzsjPsdoY04Ji2KsVoBft4gyFr9jMG+mqEnCVPKh9raEyjQy5oCCdqjHTRXnUfOiq7iQOoaom0geop+n7mgkbkgsesQZSKkFWM2NFIL6trQ2KbTnLQIUv3n2IfUCSmRlkGY0jF6YT/DW9uEuSX0gIzWY8SssddZUNJX3aUbGxS1l5vriswd4ZYFzW0JzE5MZiHcBFrlZmKcqpIwhwnITktF5Rxo09gJxVMR2WmwKjqlY5Lu82WcVZ3IgcpBwdBzAek5CPIRjZ1qvRh4QWI2BZVLDbpDFlJX0kerHdEdMECDMKXT2Gps5lr7GUF2pocbqevAuFUlRiOnd+jGNrHUNhuZAAE69zQPqgmsLUgu+yoLVag1z8uqdShZUcyA0IHuDp/URV0p3M5nCcc8RMlD96BwXMNaM3AWTex5UzXci4LSixpWXb1W+BqialJ+TiM7LfHyCsjXKxuKvtx9GZCk99QEPEhppJY9NF9iV3wyhreZsyoN0SfBq9fDakUIS1mk9pVXSL55mY0sQc1XfIkoFTO4bZ2hdJvhySrv2/c0nzj4IxbDDO86eyfvPfI+vnX0cl6XOcaXKzcRr9uYVshstcB1xWnmO3kKVg/fM3j47E46kxFzMwN84/Tl/OHFN/P8/fvwTueYnhvgpeYIthnihwZR21DT5K6auJsdwIpJLuhKTulrbElW+1YXNc1OLBhEmQi/oFgO/d4Qes1gz28fJzqSAwGJp9IYRsQtrznKG645gmWF7Lh8jvKb50l+dIGlu7fwDw/eyuRfaQz+7RN8479+mm0//CDbvx6RSvhs+3tB4TVL5E8KjIbOwGHJ4L02ifWItOOx5/dqvHn3cUSgkXkoxfjDAYVtNT7x6nvpjEqivsJILjukzliICwl2D6zSbTrkzwAljygB4ew8Zk2nOxoTpAzMRoCz1Ca2BIYbETvqCUpTrXWeZzKUaWF0BU7CRxZ9ZMlH7wmcpM/+nfO8euwMAANOmx+c3oepRyTH2nz41C/yGzseInVJFTIBrxo+yx8ffwN7yqs0wiT6qsUnttzP0K41Rr5t8eix3Sy4eU4sjSA6One9dIhDuYtM5OvYGY/K+SK+byB0idbVyMxCNOwjPQ29J1R6iaaB56soyhjcgRirpXy8saGaOYYZUg+S/Pq3P0h6QUEBYxPqO3QK50JKRyQjjwc4JxJk/ybL5L/prFxjcvo/Jfm1D9zNg1d+iYV2jrF9K1w3fgHh6vzB5D1MHxvDsQKeXt/KLw0/zScP3svDzb38649u5K9f/1Xe8ItP8pnf+Dwxgg8feITOuKQzolHbpatTJFZWy/aEoDOilJHtUZ0go5p7iUqMtWIQJl6GMf00x099VyFEGrgL+JiUsvnK70kpJS/XmT/tz/tlIcRzQojn3LpHQg8wRYzxCpjCxnHDtS/hFjRaO9JYS028vE5r3Nw0uXe3+/gHO5hFl7Bn0Og5pOY0Mhfg5MIwx2sjZM9r5M8H5E8KMmdM9GUbr23jzNoUX9RJrCtaZvEENJpJrGWD3EyI0YXkWVt5MPMq1sAtWmq6EUv03VO4gwms2XXitI2f0TZH2Jmkp6bC/QmUUwvR+5I93VOm58WVPNlMj1bPYde+ebwJn+5aiupqlspMEVOPeKy+g2crW/jrmVfx5Hcu41vfvgUWHSJLsnh8iBPNESWNNMFo6gS+QdwzkKHg4LVnOTC2SDLfIx7wWd9vMpJtInyN1LzG9n8NueefbuInaztx9JDrx2bUe5pQXY+b3vIiomYhLQljPYRQtD/DVRtisyvJ6D3c2KTcD/S2RUhKhKzHNlNGFT9v0Zp0cFYVAKUzmaK+L0t9f47uDp/KfoPOOLQnQFrK8xqUQwo/cSiV2qrbbQjKLwqMpq4yTCs61rJBYt4ksQaZizGDz/uEqwmsrMfQo8rjIvtofbMZ4eUNYlPDbIY4qx7+QALNj/FTGva6p0BbjqAZOAwmW7RCRxF/DZUJGdm6yqgylJxBapLu1gBvXG3C00eUrFzEYF+7Tn03fGjrY6SuqZAc6JDaWed3932fg2ML/OVV3+SmyfO8aewEeiJEd0K+8uL13LzjHMe6E7Q9m3vn9vPlz91ON7QIfZ1vnL4cXcScag1xfGmEQOq899CTXD44xx3XPoufl9jTDlEiRnpqCmKdT6BbEemXbIIxnyAt8fMxqZmWAkBInYzmktQ9NBHTihx0YgIJXRmQ0XyCrKA7oOMVbaxGSLesCojIVjTRzrZIyVVbGmLFxq6phkL2nEarmsK5YJGb9jG7kux5QWpBTQWMnvJg2S117sWGwFk2kALyZ310X5I9p+hvXl7Ro5uThvKJ9QKi0RLtfYM46wFxwsDPqOXM0QNGkw1sTcl7TRGS0XuYItz0n0YIMlqPy8YWkEKBbUSoIqw6w7rygvrKu1TdJ2hPStVNN2PsmkbunIJdINXkIzMfkpmLcKoSq6UodlZNkFiVJJdjnFpMajUksaw8bflzYX9CpOIRwgSbm0WzHW/CH5pbHbIXXIxehJcR+HlI6x4Fs6uigQxNAZxSKhOVMO77VgXVvapIl3aMNp3g2ektXFJY5KH5Xcx6ZY6ujmAM9ihkuhQLHb6+6xuUttbYsmeZtcND/Gp+GjPtk+/Ld2METtZjV3qV+fU8IwMN9IYBoSDsmHgyIGO6RCczfOCaR/nj0R+QKvSIHMn4QA3hCxaqOQrJHleXZ3liYRsPL+5E+IKRQhNdj/n9tX2ESXWOYZngqGkZgcr+k4bEewWfoHJQ0hnRaRwokrrYQergFtVkBwE3XXYKTUiars3dRw7yg8cOUT1TJHNO5xl3G3957jbyp6BwUlI7XubkY1Ocf2mUbmAqeVXVIHTUpEX3YNhusuUeydBTMPCAzbOP7SGRdQkyUNuj4ecNpCHQhgdZedsO0vM+0XCJypVZdB+6noXZUpCklOahi5i07lE2mmS0Hgk9UHl5wGrU4fwv6MSWKgBzMyG9gk5jyqI7nsZqSxrbHWZ/bphTv5KmuTtkcucK5AKKpyKaO2LkoEcwEFI6rK6Vje2a8rGuGJh1DftUgvz5mOwFydDjGru3LRH3DMwONG/rEptq/euWdMrHfOVn18CpSOyaz9pBjYEjIX5KozMOYT5S2b+BQ8TL09OM5m6qFyIESSG4JX8aL6/hFi2EH6P3YrqDBl7eUGtxAqoHBJ3xGHegH5UlFS04KlRQ9AAAIABJREFUc9bA65mKFNmKSS1KEisKwGF0BFZDkL6okV6McBoRqeWI9HkD4WuUXopU3FlHbELPNqVyUuWKB4UEYdpUhOEgJsjodAc18lZv09tejdK40iKQBkNmg0DqdKSJLgQDRhPt0j0MPdshTOsMPevS3CbwcjqNbQZ+RlC5NqS2W6M7IslcgHB/B7ckyMzFdDoOkSPJnKkz8ON5nHVBY0ojNS8JkxK7KikfkZvT58EndMzxDkNPd7EaoYLhALXdatqeXgrw07oi3c61iGyB2ZGkF8KXoVRCkLXcTeXTRiMorbskNW9zGm6KkMusCu/LP0dsbYAHVXOtMWXg5dT6KSJYuUpQuzRSEVFmjFuW5E+qCXwi7ZE8kmD40SpOTTVOykci7HVBak5DCyG9GJKb8SmddEnNGMTJmPy5nsrg7gnsqvLw9ooaUqiM7MSKi1+w6I2klC2kF+JnNcxaj7zZ5UBqUTXRbSV51nuKHi0iifQ13NDA1kLWXhwiykVEyRh/KFSgm65GtZnktoFTHCgu85O1nfxw7QB/s/hqVu7aQrvjYDoh97cu4VhtlOwZHXc2QxDofOl7r6Pp2zw2O4VuRAwPNDBKLgiJbYWkTQ9nDYJyAJ7OTK3I2kIeNzAYGK/jDoVYNRXl5t/QIjGtYju6Uz56V+OF6gRW3cfL6YhQkcgT80p9aLYEcd/yEyVjHp2dwhuMEJFiIZS/keTxuW388MR+rhy7yJmLw9R7DqvfmiS8ucHwk3Dho3DmH67gth98nETW5fw7Dbi/yNxtNu3vDnPtB15k/KGAymWC6n7B8jU6a4eHOPmxIb7/4FUYLY3ajR6RrTH0njWucC7w4Tffh7Mu2P6GaZJLGmFSEhQiXnxpG8UnLfw31aFik5mV6Lks8aSrrHG6QJoaUdruZ4eq7GwR9aGVQNBTn+HijcsEhwskUh7UTbTdbXguR6Wb4psvXMmH9jzOYz85QDbTY3a1iHw2x1otwx2pJbi3iIwE3zh+BfrjOQ7Pj+FoAYeuP8O3KlexspZj5WqNwgsG/zD5KH7bQu9pRJ7Ok9UpDBFx27YzvPG6w8hYQMvAbGnUDsQIQw2OYhsGPmUTOwZxPrVJ8NcCgVuUmykaui8wjJghu8nAwRXWDmmESY3xh9oEGYmb01m9Ggw3ojsVcOEdkPjNBUZvnGf6tV/BFBF3nHg3K9Us1w3OMN0qMTi1zpsf+Aj6cJeVlTyXF+d4sLGPP/rWO7jriasxevDbX3o/mpAU9S5///wN7LSX+d4v/jd1HWmq5lb+bExrq2JklF4KMLuS9mTMlu+3aGzT6ZVUgyQ9//+pTPzpClQhhIkqTr8upfy3/s0rG9Ld/teNcLoFYOIV/328f9v/ckgpvyilvFJKeaWVczY7k36sb2YybhwVN01sCrysRmt/CauhJJ21XboikUVCobF7JslzFuHDJUYfaVE+3KZ0r8Paw6Mk1lS3Vw9QGw5LojUNFSIbqjiHMKGRnvfZ8jWd7f9cITnTpHysR5hUHUl3IKaxA1oTOr1hm3jrMO5EDqvmEw3kaG9Nq8nojg5RrOGHOt3A7Aep96UIunpeYUJD6hJRs2jUUnSbDpHUeN2BE2iuxtSWVX73tu+wNVPlsdM7WWumafx4WMUNjIaqMzwLuz89Q+9dCaYm1hi6cRF9W5vxgRr7d80zMNLghfNbaAUOw7kW5VKL4qmQ4I+GKR0RbHvzNF/46mc5+onPcXZuiGOrI/ixwR++5i7uPPQc2ZtWePDRy4hzAUapRxxqWEmf+qWB8sO1PIK0oBqmKRodGlGCVuTQjS1asYVFzNmgzMItBn5W0B1PkjvVoL5Dx80reZHWNHBHIoJcjNUUkA0w2wJrxaA7JCglO/hXtTHbSvY19GxM7nyMXQW/HJE/G5OdDdVJLZR0zm9bpBd8xh5oUD4iyczHzLxXUt2js37ApjtsovcC7MU2je0OybUQd8DpE/sE1V4SgGI/9sLoxsoHmFS+B+j7OQOtT/CVxJM9zJYkeTSBd6BH+HAJEcOXLtzI9kKF3nKam8amebS1iy9s+T4xGm8qHOGT5VOcu/UfERcTCF3y6OP7eXhxJ5XlLFcNXSR8TZ2zz25BRhpeNcF1qbN8ftt38XsmX3/gJv7p/lt4/N8OcXl6FntPA3eL0o2lZvoT5D1ttOmEAvsYMXZNSWfDvPLG6UiqYXozHiipewTSIOqff/XYIUgr31lz0sDPKR9aa0KnM6Zoi2ZNQ/OVTyp/UlA8FZI7vMbQ0w0GHjEZei7AKxiKQqsLvKKCnGieIEyo+JTQUcqCLT9osfsrDex1F6MbE9lAP/bFz4OfF7TGDbzhNL2hBLGl5I3dIRsRo2Ay/biMip8mkqJP7jVoRQk0YkUSlRqWiOiGFn1gJV7RVBu+SBU5zUkdr6SkNRsX+fRZk9y5mNSiT+FMTGLaIjsbE/T9o1rApqx3449dj/qZgzqpBcnWe12Ss01Kx1rYdUmQFX0JnIaXV7Tv2NJxB221nmiC3qCtOpVXNIjYyB520HsBsWOqqB2Uf0VqQoVtC4hvOgRWTJCNYd2mYCjLwz0XDyj/rYCc7VI9V+S6R/8jtZMl/EjH3NmkK33et/8pRrJNFns5ptdLFDMd/vWJ6wjWEiwfG0LvCoyhLslil+91ShxdH0X3BH//9E384ulfIjiRZf8VF5hbK2B0BPbjGRZeGOF8u8zrJk9RraVIjLUx9Yhex+KJyhRaIEnMNSEIEa1X0Nz7cqhXSkYZVBPG5haN9Usz2PWIMAXN2zroRY/Hz2/H9U3qF/LkDlvkTgt2f26F0gmfz371rdhfLuIWN0igEG11IRNi6cq7WT6sGn+RJRj/QYWnfuUKUi9eJH2xR20P7L7mAv6FNOGOHt6Yz8JtksZWm/pVI1hNiVntsn4oq6agAjpd1ew0m4L1KE0ntknqHt3YphGpqXIcaxhazKCeIlnqKp9cP7cSoeSMyfk2bkHQ3KYKTz3nI0LB7OwAsm2w8GogF/DF67+GM6cIoFvubTL2iKsk44Fg8HlV2IlI4uUEvXc0KDsdSs8alI557PjIPCOPd2hNakQJQXvUxKlHlI+F5Kddzr/dIbGiLBNhAsYe9tm1c5FdzhIHM0pE5cUmjghwpakyUaXWByZBPUrSKwv8tEZn3MHsKmWRW1D5qpGtPsPEfeDOnEXpiKR4OiBzMcKYt1UYfKw8T05FSTBVnIGisuuu7EvsY1JLMSOPQ+Zci8xMh8zFWBGJLeUFbWw11blnaERJAy9vorkRXtEmNsAtQyRVrnEY67QjB0f4rIUZurHdVzZIunFAK0ogbZMgY9It6YggZvyhLu0xofIcdTAaRt+LFtMZE8QLCYihM6phn0iQ2VlXUn9dJ7EWYzegtaVfgLckjW0a0gCnHhM6oB/OEDk6QUZn7JEQuwqDz4fUd2is71Wk+uz5DiKS+CmN0jF1fVPNOTj7foNuaNEIk0pVI00aUarfsNQ3G5iBNGjEOouRTZBUMvP2mIVdD7GaEreo0RuUdMYEug/OkqGiws46OGsqom7kiRD3YkYxLUpJnPWQzEXJ2iFtk8aqe6C7Ee1xi/p2h+SKZOfXPIK0Qe5cl9KJiDBJ368naE7qSmYcSyJHoz2m46x5dCaSRJbgwttKNEO1P1n08hidGBFKpCE2UxmQgoQZ0ItMNF9NJrWSUvaUdq+jbenw25fdzw57mQdP7sE2Qs7du50XjmynOywRswn0Y2m+9sz1VH40htmWjOxbJfQMfvXN99HoJNharnL5xDyL02UMM0Lr6XRP5Tn2vT2ESdCaBn/4qrv4xJ4f8Rs3/EhNIYsrjG6r0L6qR3u3j1tJYPSgcY0LoUZYDGi4DmHGJHu+g7HSILGmJNXOio5XUPunIKuaEeZzGeVnlirjdfUdPeyHs3zw8sc4URlm4CGL6kqWwWeadOsJlXJgRuz+G5fRBwVb/28Xrafx5d/6DNu/XsG7rcnDd1/O4o0m5StWsBqCzCzYuxvkzuiMPBGx7T8/iewa/NKff4+Zj+7lF+/9Nb77ydvwSpKzD03hHuoSTLlgxSQWDKrX+bin8tjrGk//6d8x//695B9yiC2J3ovQ/FhllvZUU1bzopeVbcCNu8+y2kozlavgjgT0ltLsuWSO3YOrBJeqPTrAQ5U9REM+N42dJ15UAL78Qwm+1txGb1igmTGxa9A+6DJWajDnFsgYHkcro4wP1QizMbUrQm4+dgcA+rY2hAJHDzk6N87zlXGuzpznY4ceYmhHBb8cce3lZ4hdXUnadYlXtJGmTpix0Px40wK4ufdoKBZAFGmYWsS7J58mGPGp7tNwyw7b7umwflAy/ITELVoki10u2znHjkwFQ8TcfOwO/uSFn2Es3eCWqXP82dBhvrzr64R3DWCmAgr3ptCXLf7tkWv4weFLFBB1XiexrFRjHyk9xqWWw+CPLT67Yw8fe827SC/4XPe+F6jf5OLlBMNP+kze7xKkNVau1hh9NKa2N42fk+SnA4yeoDnFZkTjT3P8NBRfAfw9cFJK+Zev+NY9wHuBP+1/vfsVt/+6EOJfgWuAxiukwP+b36G+bhSpbmT+L1mMy62M6vJp0BnUSKxDkBF0RxQmW+vo2FUNd0hQunWJ1wyf5n8M3sLwMzHFZ9bIn3DQay1WXz2mMsiM/uYxFJuEvl5RJ3+mh/bYYfWYprZy8rcKDG2t8s6xZzjZGmahnaP65DBBGnpFDbOlpJ+A2iwbAsOL0TRJwgzoeiaWIdTmvBNDJIkTKo9URVeAKHloKzaZHXUuVgosNbLE2ZD59Tx/Wn09QkAi4yJfzPGz73yMPx46ql6Ut8A7Z17NS7k9pBZjut/XaB10uWX3WR49v4Nspku9nqI80KTeS5C2PepHyxgpydpBgwNvOM03px4E1O58+nV/z5mgw+sf/A2eK0yws7RGx7OIUjGZQpdOy8FJ+piPZfGnIpXtlnVIVOJ+zl6TtO5u5ur56DiEDBsN5RkIoDOoo7tpnIqKlmltVfIFo6bhTgQklzUmvlMjOjeDns/hH9rOXLyF4kzM6uUaI094uGWT9UsFVg2ErxEkBHq/oxYmNQZeALuhfDUcO01hdZC127aw/SuS6m7ldfUijTBn42fMfi6TxM3r6IHKqEsJiaVFTHfKm/IuL2/iVHxiS1OUZq3fbR/t4ncsoqZF8MY68dMFoqbJ+O0XOHVsgijWWGzn+M+v/ne++BdvofzV57kzuI7oVZdz/j2Co1c8zqqf4V0/8xP+8YkbEaZU8kknohk4OGZINNUi6loc2jfDb564k+p8nuwpg8HDPYgkizcl+fq1l/KuR57lWGuMp2a24bcdwmxM0oqIQuXljHsG7ctcBUlKKcnzhq/Ii00VbB+mKBodHCEJJJzyRjGb6vnqrpqeh0nl7Y0SUhUoXRW7Et7a4OqJ80y3Sqz90yTFkx3KT1cQrS7+tkHWDqrcT81XkpUNH1uvpKai5lKdaGEJMTHKxTtHsK6pUkx1FTzNt6g9O4jRFQQpgVtU55TViOgNqA34RpSQo4cEUkNDogtJLOlLYnushdnNdcWXOl5kYLbV5l8KSZTXNuMevJKCxGghZC4oiWZ3rA9TwSRz0cXsmDjLXVrbM8ozVVCFzkZOpbYhVfRi7FqAudZR1OFcgsWb0nS2RugttSlLLvZp5ImX85Kdakh7wt7MaAxDHZ2YJT/HmF1DeAFYOrGlo3cD9W/UZzM9r8ig9pylvF7lgEfWdpCyfMqJNtO1EoFncHZhkNiOiZsWmiEx/raMf6POBwZv5/jSCB+/5EHyeoeZ3CD3r+xlz745Ts2OEEuD2BKM5NusVLP8pLlbxepc2kLzDH68/26+uzXNo81dTB+dwru0S3PEAF/jzPoAx5dGiHsG+YEGF1ZKZLM9am6CfNVXr9FgTvnRhIRAU53pVMyIWd98D/U5R21SPegNCIyeTm8oZiDbZWWhgOaEGM9m0K5pcPjnvg7Ap399O/f819uYvKcCazUSK6NcfH0KbyCEjsGu7UucnRuClKQzrAjd+SPrRCfPYmyZ4MzHp7jrzr9iQAsZMdLUtnd52ivw0W++n6Ac4ucFiarK1u1MZbEbMd1B1d3fMbzG6eaYgmoRUw3TSm4tdaJYY6WXxfVNwv7maTTfpN3O4GUVKTU7G9IrGSzfkCdIK3pukJXs/NBZ4k4/+1jT6d1+BWsHbX5t7pdJ1MDoSep70rQmNGJbQXQaUzrJ5Zj6zn680tMFTq7nKX/pSQAiQO6dZPTPn6D6/uvojCgGhF2XuAWH1LygfMylPaGaJ/Zyh2ZgEaPxQmuSa7LTeH2a3CujgUwREUnJglfAcFVTJbL7yiTUtNpTvBDVtKQf82RJwqTAmA9xlj2c9QRmy6exM0VkqnVBAZz61/cY1ZT2YxLLLqmTDWTCprstT3vMoLZXeT31toZdV5MMNX23QILRi/ELFmFCxYzFuiTse4NjodYXVZgqeNJGHmpHxnRjG+GHiMgiyAiq+xKUTvTQIli9UsNeB3tdgajsik7hdEzuRJ34+CmEbRNdu4/lsMj6IUlnVFA4G9HTVbMsfy6iMaWTXpD0CjqF0110zyK1IjC6Id0hk+SCT7jfJLHcZeQph7XLLLyCwC/YyKKSj7tlh86Qogk7Vcn+Pec5WxvgtDHE1fkZMloPV1qboLlamCLuT1czWsQpdwirJVVcXEcVhaCambGlJOZ2TWC2lc+0uTMmsaxhNSOMTsjkDyV2pUf1kiyxqc5f3WXTny116A5bGD1Fxo4NjcgxsKse9V0pVm6IMVoQW+rnOjVJt6yBTBLZguKJHq0tiT7ES+LnJGtuGlsLGbKanDAEsSlw1n38jKlytFMxlhax5qZx1sEbUGAhva3T9SyG8i3+ae5aRlMNBgcbHJ8dpXRTheOXf3Pz8331i++gt5TDbEm6I4La8UHueNUzfP7YTVy7dYbjayNUe0k0VyOX6tFeyKL5gAbv+sB9/KfieQA+U9vKxwoXuDxxgfc9+n5kqGFnPAIJsqvT2hFiOwFe12Dv9kVOXRwmYWmQV+dje0dAcsbE3d8j+1SCxt4Io6lhVnVKJwIWShmSNRU9I3OC+oGQuz/9aqo3RBhv6JF7KklsBcz8zJcV+hTY9fYPs/Xfu0SnzxHbRd79lY/x0oOf47V3vo+ZX+uSejZJzzex6pL//jt/y3/56K/SHpNknprlpc9dzczPfhGAsXd/hTclXf7slp3c95s3s3KVjVxIEGcijLrO1GtmWO2k6Z4eQAtgz2Pvxo770VZIYlMjki/7iM1uqKBfukoRAHhxeRy3Z/HE9HYGxuvUjpc5fXiSt978DDOJIl3PRLNULvczr/ksZT3FZ3/hWS5/7udpnCzyZ4++kUQA2UwPMrCztMZvjf2Q9zz7fvLpHo22w8/tf5Efavu4eGyExUqeOy9/jrLZ4t6lA/zB+L/DOLzjyAf41PO380sHnlGMnXTAM7NbEIZE9jQY9li+JkH5uAKPWo0Q3YfEmkZ7i/Jbh2ml+IhCjbPtQT6+5Tn+JudiLVss3qiTP5OieBSWbpUqTaDpMKMXuX3wCGevCUnEEduBBjD7nut4z4c1Hj26my0/v4Tx1WFWX+sjuzpm0UVWEkhdyepr+2NkMuQ1T/4aA99KkP+2ujbEuSRBRuf8VS7x503Em9ZZPFyicFrl1RaPKVVCb0AQJiSrB9V1QEQqWu+nPX6aHNQbgHcDx4QQh/u3/RdUYfpNIcQHgFngzv737kVFzJxDxcz8h//TL9CQ/YiZ/qZMDzbzLAHaLxVJmQKjIzF8qO3RCVJK7qO3NFILavH7y9d/ncdbO5l3C3z4zfdx2Ttm+dW7fpkd/9wgvHCR0tEslUMZREWguy+DinS/b6p+6jgS0PftIvelNRJLaZpdh689fT37d83z1vEjfG68RPaEiZ8TdEZMrHaM1Z+QhgnVDQ7mU+iFJpmER6OTYHRd+cfoQzRisx/LkQ3IZXq0VmzK6Q7nG0n8msPHb7qPAaPJH730M/TO5YgHPe644ymuTk/z+tGDAMgbDnL/t/4RPvEQex9/N86PM4z+u8kj1f1kpjU6N0bcuPMcF5ol5mYGaBZcIkeydEvMzFs/z5mgw9W/81u897e/x9999XbGPv00980/z8wbvsyd068hjDX2lFc5BbQvZtE8DX8UZA6Sizp2PUDvBSSXlJ+jHakJcDeyCGKdYb3DXJjlgj9AYqUfNCygvt3E6Eq6Qypk2KkIkisSqZuEd1aYf7tDu3k5QpM4Lzls+fYKVOsUns8z/a5BEssCq66gM6kFDWlIegWNwuke5tFpGB+mN5njwnsk3/rSE9zTPMTvD9zL1Hd+BWmFTHxfTeAaWx3CBORmAqp7bYyO7Ed8QNFR2YC2HjJfMLEaIVYzVHIgL1akMlsSOzHWc2lEGvytLhnHY2lM+T3OPD/JHa96htOtIc4+upW/ePYtfOuTf8Wln3KoRV3eeWacfR/U+eHlt1DbrePt73HTwVM8tzDJzvwaa400x1ZHiGINKQWFQpuTD+wkNiWDZ+HpP/0crz15Oz/a++8AbNv+QSoXywT3DjD6s0s0nhmhWZC457NEWzxE20BPhkRdow/70UGymeOnIWhFDkWjgylCHKFgH47wVZh9v07olQReUYG99J7qkoZJ0F9boVHJ8OCJQ+h7W+x63zSOEbDw33aSeWQd8/gFnMndRLYqbsOEIMio6Bg/JSic7BDNLaLt2MLpXy4BMdqjRZatIul5iXjnGvHOLlE9he5Dr6wRWQKnBnYjolfWiXVBakESo6KCvL4P1REBERqdyEYn7ntsPUWpXM+T6heTUhNIXRWZQVoFj9s1tblZv0QwdeVFpp+bwB0KWXd0GlNJSicj9IUKKcuguj+J0d2Y4qiuvlOL6JV0ikebaDPzyCDk3O9dqu7ThsSCTpiSSKmoflqwMf3U++RyJTVGKP+fnElh7wnphoqM6g9n0PwYveOzGVyeU57X0BEYDQ8tcFRGtB0x9+wYYTZmVh8kM9yiVGzz+vGTtCObz4w8pxbcn4cbj76N3i/YmL+Q4e/sm3nxqn/lY62d3D5ylL87fjNCj4nTIW86cJx7nzyIiAXz43muHpnlRyf38uCtn+X1ozeiDwxw9+Ef8lDzWrJ3Oyy9NiQ/2qQxn0Nva7znDY/wLyevIAo1iqku/3Xb9/gD5z+gpew+/Rbog+3CYqi8qK84cmegO9wvSiRU39pl//Aqp5YGMWoG6VmT//6Jz3GzA7d+4EOsXmniDkZM/+0XuOqFOxl4X4x44giZ3ddhNQyshuRsbxxrpEO8ZBEmYPQnIdHJswBUP2/x4Yn7ePdnPs6nf/1LXP/Aexn/ns6jf/MFdlw3y6kTEwQpWLlSp3BKZcaqOAhBoqqm3HpbPZ8IjaLRphPbWEKtoaHUMIxo06e59t0J9LTC9JePBpjNAC+vvMbd8YjJe2NSL17kzJd2cuPUeU6sD9N5bACzDVNfW6B+1QjOus/aZTZeQcXSGB2wGpLqpZLkct/buhiTP9lCPn+Cs399DddfcZojK6P8x93381f/9rMkVgXDz3g0Jy06oxpGV5I/HzL/KofEiiI1rl1boNXosBLkuCY7TYSGrQXE/alpJDViBEkREgCnW0OYrb5MVUrao8q+EaTVemO21eNcvzYkXe6gA+aVHrEZcPrUCHs+W0FeXKBYGWL5daMKDOappqfuKTK8FJA61yR+6SyRJlj55atp7oqJMwF63SA2JM7uBu1qksGfmMQ6dIYN7GaM2YrwM6p5FlkKxhRIjbThoyHZYleoR0mCWNsEsiVFSFGzcKVBfOQky5+8HmddYnYkc7clsWuKAu6WJIVTCnbTnYxYKQp+6fce59HaThUX8pYXGXvcIL5qP72BFJVLle+yOwKRrdal4gs1KlcVMCpttJ5DlLXI/tkCZ49N0XpbyGh+jpvfdYZvTF/OyJ8HxLZOdY9NejHCasc0pgwycxHVQR3Dhece2UPxsjVuLZ7molcir3exRIjVVyxEfR9qXutSjUzWozShI7CbyrvfnOzDLGM1xd54Dyo3BIiujuZp9C7pMXfZ/2TuTaPsKsv0798ezzxUnVNzVWquSlJJSAJkYAhDgBAGEUWcEAdkCiq2s+3Y2rZt6wvYKpO2goIIKIoi8yBTAplDSCpJJZVKUvN45nP2+LwfniJtv1/+vh/+a/Veq1blQ1aqTvaz9/Pc931dv0vg5Uy6HrBRyw7JQyUmT4ugF6V81cgLCs0KtTsdcm06qbct9OEZ7M5aKmmD4RsddD1PdEsCKy0gbVGqkgMDoySwEipGSSqqzLyPE1GlJ3NCI6w75N0gtWYerSxzaN4hwtpxHQUbTfXJlsPkejzCdUXKhQCNSyeoj+S4tn4zPzm+ni37u8BROHTFXRiKxiXL1uP2tjB8fpgffvSXXLqiQru4Hn1Oxw8I/rT/FETW5NXsQlYvPcyO13tRm8tM7auhekowtwgevfoOrt3zMfbUtrA0NsIvnryAXw/BNbc8w91n/oa3Ky385M3zaWqaZaSQJjCloY7EoMWlf6CJns4xCqEmjKKPdmIStdQum+kzATJLXIKjOnZSevnzzTpulUtgzkAvKpTyJqf2DbLT65Q52ANhQhsnuPCG3Vyy7koGr63H7y5RvXyKZz/2e1Z/5WbiAwrRYY/2Z67DuMQk8TeYPdUh9Xg1uS74+MO3YPYpFLscZle1cHTjvSy9bRONP9pM5bJV/OcTW5n6cy/WzRVsy4MxCYwLzir0724lvVNBNMt9UdkfI3nYZeJ0jdgRFTNbxo0a4AuCkxWcuCm9zlEB80qboOGe/J4OF8l3BGlPz3CkUENTIsuB4/VUVRe4vesRLvvK53E+MMvcUBWD770HToOelz9K1YBG1qsmce442wdbuUs/n+VNI2wfagXgcKmWE5PV0u/+ZojHjaXEIxXaErNc+KcvQNJm8MIZDV31AAAgAElEQVRfcs3QuTw7uhBNETTUZRgbqDkZl6VVS4AlQGisjDA0nJiMlzPyUp1m5BXK9T6hoENLeI47Zk5FfT0h/ZyqIDzloRc9VM+k/J4Mi2sm6H90Ib964ApeG77n5H551ZEL4OwtTPwaOtb7TJzWSOIj49T6KqbmMftSA06bC4aPldQxciptv3XgDTkYe2ZUloDr9y/glcUPcvr1V2Pu0qi7zWP2Cy72iI4XlDThyQsdQgdlw6DSAMacim+CVfd3Cqj/w/WPUHxfE0IoQohlQojl819PCiFmhBDrhRDdQogLhBCz839fCCFuEUJ0CiGWCiG2/59+hieUedqmIKzbhHWHar3w37+DAsVGQWaRBIpU0j5eVNKxzJyCG4HVpx/kc898mMefXcOJYpK/ji/hhj9fz7eveIShr2kouo7Sf5TQtE9kwsPMSulPeFweBAI5H+G6aH299P9Tgi0HO3EHYlzTs43bz3uIoafaue/BDazoHaJcK7tx5bSCE1YpNBiUawwqVSp2TJGRLqqP46kIIQ34QpPFqZH30CyZwYmlEQtaKJ5C3grw3dWP8+TFd/Czfev41u7LaUlm+Oplf+Tbq/+Mqgg+99SHeWZ0N/4LLTz76H2s/M7NrNt7Jf1n/obAZZNMLVcRKfskEGOyHOPESIp4fR5N8/HDHt9f/yjfmurjh+MX8YWv/ZZbkid4+9Y7eWZ4B4vu3gTAmuRRGkM5JksxUpESF655i3TfFFcv3oG5Yo7ArKBSpVFsiWClpEQtoDonIUlRzWLKC1GjFakImZ+pF2V+X2hGSmlKy8vYNS512ytU75nDPGWO6ztfp/bHIapfCVD1UpDrPvQ0s6tq8KZnYDZD9ITszMaOy0gFBISnPKLjLk5snppZFWbovWAcD/DRXR/nwefP5rxPXE/9qwoPrL8HM+ui2gInphDMCEKDsyieIJj10SuCxJDDiuQJJioxJitRogNZ6W/QZYPB15WTnWJMH1+H9OpxREnHerSO8LCGmVU5+6x97J5rpn9XK9X7BfqiHMvMIB2P3UiVFqYmVOCvrz/OyCUeC56YJbYlxFgpga57vHK4C7to0puepDgRwR6OkMlG8IKCuu0e7//SMwB8t/1PdD58E50P30TVdoOtKx7FSsJkNkq+x0OLObK4VAWBKQ1jIIQS8Cg1+xgFn/ihPAmtRMk30RAYqiuLVUVgC0FQUSRgyIfCAsj0zD+PGqiWnKCWaxRyvR4hwyW2N4C+OIdj6xx6rpP+3y+k9YsHya7vAV0nMuagurIo9Q0IzHES/qJNZdEa6xj4aBqRsgmPqBQ6XTZd8xcmz3Jx/1gDR8MU2j2sJFTSivSDV2mUU9IfVq5VZNTA/PTpHSL4OzEz0otaQVN8KTlExXPlRKSclj7Xcq2CnZC/lxuRB8tcm0qgO4d+ndwsarZqRI/J6ejEKhWvIY0+UyB2wpGH6oKMK3ong1DxQZvNoUSjlNctJjil0PKcTWhCvkdiRyG1V2BVywgFLygpn7olNylfU+SXKaU+2jwkyREaasVDtWQWrBsP4laF5cQ/Id9r6tFhKt0V+e9YGtG+WZSEDQEP/ekkX+x5hiWhYQbe08CpO66m4w83svhnm5jcWcfhmxZQNeCSHUryX9l6RssJ7nzrHNprZgiGbZSCzpsTrQRmNPy4y3RZqjF6bytz6c+/xLFHluIsbGb5Tz9NZoXD+Bly/Sjza0rvKHCkWIPvq4QiFoOH66nWShiZCorjITQVxVXB9EGfNwhaGvV/N0F1QwrOKQXC6ycpNvm4Y2EOT6W5omcvbpVL9nSLdUE489YbWfbd3Vg9ZW67+EE6f3cT21Y+Qv/3OtDicZKHK3JN5nyCkyr2eJjkATnNCQ/Ogarhnn8qj/bdz91vn0Vuqc1FYYejF/+CqQ+UaP/r9bRE5lCrLdy+InpZoZJSmVyhMrtQo9DqU6rRTm5oiq8wYlWR94P4QqHoB0hoJUzVlZC++eZK/LiLWRDEh3zMjM3MkhDTy+SEcdGPRgm9doDxd3XQWT/F6Jo86S9AZFQWxUMfaCL+1D5Uy6Nmt4VvQnhcEB/yyPRAdEglMubgmRAbqiB27OPQ3asIjWlMnZml5UsVHr/6bNq+voXCAp9suynjNiZ99DJEjhXQS5AYcghPuvg6qKpgxEpypFKL5Rv/A3b4zvvFR0EFmfmqQaleoVKtgoBKSj4HAOEJHyeuoBg+3s4kymtJJvtrmHiuGWH6DL2vDjWdQszMEZ70MQuCyKikWOtlgeZIMJBi2dK/dnofuS6f+tcF0QMmWnOJ6p0aNXeF0UIupVop9bZjCm5AwTekWuadKBYzJ4jrFhk7RNEz2Vdqmpcv6ydl51N+mFnfxplvtltpCadLHirixH1KjQKrSpB6W2AUfcp1PkQd0jsU7vzN5Wzf0kP0/gQ3HBpEuC76wDBNL2TxTUgOlDGzMrolPO1T6E7ghhUUy8auCXH4QzrDd3fR+hdBLGQhvlvDy8tCFPJBTlwYwQ1rhGbEfMEmrQjRwRyhaUH8qE3tDp+g7jJmJ8k4YWyhU/QDFP0AhuJRZ2RP+ogBfKFglATltMrcQgUvJKNjCm2SKFrdb+NGFL5/9h/o/sybdDxWIrwnRPyVEOa0xtC7pJxSP3hCUqKzgtCkpMEnj8ifY8cVjOmCtO+8vIvRi12a7zVo/qFGYbFNxx8KND9iYIQcKmn5HvcNSWIv15lyOm9Ke1h6r0PcqBDSHOac8EmVihvW8EzZ8BRCwfNVmmMZOheNUsqEqK3Jsbb2KDv2dfAfRy5mWXKEdEOWNy+/nV22T/sT1/PkWy9w6/2/Y/Wle2nRM3Q+fBNfP+sv6EUFYu7Jwl0JuSSMsswvLekEp1QKzQpmV47lgQClYpAH2v7Gl1MD/O7qH/Pdz/+KzXMdDNj1zLoRetrGmclHIOBj1XqUO21WLz0Mhk/EsKRSD3Db6ghMS2K3ZikSdClAsxS0ujL584ok9xgEzpwmdtYk1dt19k/UU/eagpbTePDaO4ibFi+9ZzlPvvJH3IjAHw6TutliQ+Ny3vz3u6g66DB9ikpqs0loUoHLZ1i95AilhvlmTpVHYE6gZTWObvwFGxqXU15ZIv+BNdxy28Mcuvd0at51EOdgnJ+tehA/5WAkLErLyghDkO2CqnXjVOpdkgd9om9JIWaxRWBXmWglmSThGzI71I0a/N3yZPp4kqpwmU93vciR11tRVZ8TmSR/6n6GoZlqFFWw49RH+GN2Jd/4l/uoixYYfO89LL5LnoOv7XuT0XN9wmOC9zbvhozBq0e6qA/mEAI8W6XomoipAOFRjd1fuZPPLX2B7O40j3S8wOD77iZZVeQ9hy/kstQezqg9Slt8llw5iF5QCTcWMFuKvLdnN61PlmWOd0jHDWlETqjzWddS/eZGwA8JQqZDxglx/+41lOvkoKDtLxWGz1cZPTuAf/UMzu4qZv65ldrtJcbXKiy+cxOXnHcV7X++gR37208WmfpLu1nw2DhTO+uYzYUZ3VuHUYB0cwYsldDUPLU6JJ+TNXscuh66idN3Xs3ks82c9ZkbmT6e5Kvv+wMIQXTAwI1IrkjqbYfo3gANb1So36wQHNOwUx5mRiF+8B+Zi8rr/xfF9//W9c5BUlVkRIQ77w87ebWUcRM+Xp1Fuc6X/rWyilLUqKR9Ch1yohAc03AbLD7R/Bofbd6MUOEbb17BrX0vUrjiVNRY9OQkAkCvSD/P32cnnbg0RTRdRJ80cBts0kaebmOKSlqcxMJ7YbkwrJSgVCv9MvkFKrlOKT12w1KSWLakZEmGdUskv172pKS4VuLBhwdq6Vs9SHWoxF1Hz+GOyfU0VOVwpkIcOF7PTw+dy+8nTmOskuC2jQ/ybMk4OTW75dY/Mv2aTPD5WNsWjMU5UtUFOlcM867uvYzm4rQ0zZDPhtA0H8VSsYVG1pUbQ3+5iRuH1/KtqT6yfhlvUZFPjazmnsc3MGuHWV0zxLraw9i+TltiluFKkpDpUGyWvjoz62LFNSbt+El/UVdwAm1e7lSjunSak8SPu1RSCvkFCplOlUwPKOMBzKRFpjvA2DnVbGzt56EvX8qRD2nU/uUIVYcr/Pb2DXzj2/ehLerGm54hMu5JGmFeena8oOy0Z9sNwtsGEfEIE6eFCVWViQ9C4ncxahZPcewymYO26T8/xcg5QXxT5kqZWY+ZNXW4IYVSWsUNyXWxL9+AqgiCmku+NzlPIFYw8g5uVBarqqVQU5elsrjMzJZ6wrVFZs50KC20KDe6HMrUsCgxQbwjw8wpCvvWPkjH729k5SlH6HzkJrZsXchtsx0c3fgL1Kz0BR0eaCA/G0EbDhKIWtQHc6BAqmcGv2CgWZLM+LnqQT4/tpIPPnszR95/N4tWHKP5g0d5pJDA7iuRjJbpXjiCckIGUkcTZUlWbLMIHgxKCYih4FQHyftBgoqLh4KheMy50nNkKgr77RjHrDTleoGT9HGjPk5c5vSqjoKRVXHigkBtidnX6yk1+kSCNqvbhrCqpYz99f4uRs/3cRY3S+JxVMEJz3uTZn3ZAVQA16PcW0fzqaMyy9iB1s5JHh0+FdR34EEKJBwC8/WJlZCyRyeqUK6TxV6lSqHkmuSdwMmoDpX/3rWKfgBHaBh4FP0Avi8LXScqPa6qA4oji3ChQKlOxa7yYWuC7KkNeCFBtltKDkOTAtVSyC6KIcIBjJyDUZYHUi8IoTnpPVVdgSiWQFMZvkAjdsIHVWH2dBe/qTK/oXsEplUqjR5GYd42kFapVEuvdjml4kQVnIRgzglT9k0KXgDV8fCCOl54ntZpuWiOQC/PAyhr0yxuHSPdNYMRcRBCQdN8zl10iFy3oF7P8m/3fBD32Amy+TDJ/SrlVofwuMKnrnyS2K4xEgMq9x9fy1C2GqdocPBgE9rmBFpRbh9mBpKpAk/2PcTrf1hBdlGCb37kIR5Z9XOGLg/S8nQWM25BlY0WdlnTcAy9qGIVTXaNNREJz79YBYy7sZM0Rn0qj9CkvFdxVLBV1IhDmz538n5mVtosbpiQfqIqG6OxSHkyzPMneonVFKhK5fnyxHImViu8v/pNjqz/Fe+OFDCai7xr4GI2b7yducsWY0wXsKoEpVqNSqOHXlCppJT59eCiNzUw+D6NdX/+PE7ZoLr2v3VKAdPFmNK5OrUVc3+YRKxMqcOm1ChwI4JKl4XZVkDxIFMJScuDDX1hiWbwULHmoYBZO4RlGVQFShT8ivRPlqXfcK5XxmEZeYVKrcfsGU2oiThzZ1qI80fwzluJ1z9ArhOaHh3EKIC/qA1zaIrAWI7wuEJyoIxR9NErCpFxmWUcOy4w9h2TH8aH9Fuy4XHgszWMfw/sDafRfV+GXCcUmxRKdSqqKyg1RzEKoJc8Ck26jLxxVWrNPL5QiGoSuKMq/v+QwKoISkKhJliQUWMJGYtiJ6SEVS8puFFBfoFKvs0n8naA9F6XfJeLaitYVYKazTrKyixT6xegxKIYeVf60DyB4ktFxDt540zPIVrqmDw9ImnrQKnRp7d+cr441gnsDVOpEThROcF1w/MZyFH5ee2EghNTyLkBXKHi+BptQSnNrtHzGIpHQHWIKxazvk6jOYdimCT7FaxqhWxXhNigJHb6pvTKz/RpRDuydP5SMHmeQ902i9C4SvixN/nuT6/hxO+X4E3PoFZsVEtBny4QyMw3rXTlpNVEhIMU6wyitVLibeQdyrbB0GXy/NH4mEn9WSPkFujM9ElCuBOR7+ByUxQrqYAqQVEVVyfnBkmZckDwjn/YVFw8VOaciHyPCoP9pUbckJxw2SlZlCqepJv7JmS6TbSK4O7PXkX5ilUM3KBTWGiTb4MFT5cRCkyclcJvbyQyZs3fN2n/MYo+dlzDKIIylwNdY/yzZ1D9hoFnqhy6LsDa3iNkeiMYBRdzW1Rmo/rSrpFr1SjWalgJmWNdqZHe/vFyDMvTKfsmZs6bJ6ULnJiGG1SpS2VJBMr0T9aRChY5t+8gsYDF3kwj15/xMmNTCd6YaiObD/FcaQGrAgZt7RK/cmm4wm1Nz/CL6bM58v67+bftG0mumUAPOiTiJRp6pjiv9xDHCtWo9RXMmI1dJajUery86l5+nUuzsvU4c57M2/zMwQ/w8NQqvt78V16f6+LZkYX4KFhlAzNiYyQslnYOUx/MoWYMdNU/SfDFF1TqJJzKCwgCR4KU220QEHktwpdPeZbgZROYuke2GILLZ2j5kUrp/VmSBxUO2A0cOlqPd+gI6z9yHXV9kxz+8F3s/+d68u9fw4bG5Yxc4+BGpcS7XCfIDFRz9J5eyq2y6WUkK5RrFC45d8dJf2bi5RDONbPceevVGLM6lctW0f71rTw6swrV9Eg+EyYQdAjVF3A7K2RKIWIDOvFPDoPrYRQUArPzkvuAhlFyKdcFZTKG5eGGBYo1D0usKc+rG3SqVk6hqgLb1tnQfxmV0QiaIWuM+/es4dJwhbgpbYUd64+y6N5NfD19gLWnDGAlFVaHD6PXVFA1j/5MPeGIhZoxGMymEIag2O5w3C3wWqYLJ+Zz/YkzAfjJkocYeKKbD8Tm+OPrp7NztJnO6hm85gq+r+B5Cj2hcUnrj2rzGe+CYosk+XpBMZ+b7qPnVUqWyefrnscMOdTskO/M0bNDBGZVRF+e6eEkp160n6OXB8h2hjj8wbtJ7fcYel8tvf9VJjRs0Pm7m2SR6nuI0QliQ2DsibLgaQc7Dpl9KeIHJawyPgjaSzvRG+pZGzmMHxRU/pZm72fvpOPz/Rg5jX9/awOFnwr5bC+20SuSg2HHodhgMnmqQnzIlwMdU/IU/tHrf0WB+s4VmI+ZCWnO/zhUfnTJGwjdJ5EsEe+eI9ydId47i1lfonqvQs0bGkFdhjWLisafp1fwvT2XkNqjEDoQ5Ee7LmLlV3di9zZSTqlMnQbF84rkV1SYOs2nWK+Sb9HQ6+v4+LVP870lfyI6rFD7vMGPHr+Cj7z1MYyi3FhGCwlSuxQaX3Fxqjx5ME7KA6nQ5icmKYt8OUg0ZKHrEgxTTs3npAZUnKjMShVBj29e8Ec+2/wcE4UoX+16EkPx+XH3w3QvGiGxNUihv4rid5p4oO1v9BqTfPqhT/IvU4u5uHUV//ra5Xztmod5pJDgpuQIZzYPcnffA1zZsItt061c2HKQTW1/Y8f5P+WOZQ+zeNlxTMVjZWSIOTvEs99bx9CqMluvXcYeO8Qja+6lNzyO02Jx/PYe/rB/BVfGd7J9rIU3D3SwbbiVQiWA016hktIo1xpojiAwn50JcKgsO331msV+J8Edxy9gcoVBoduh0mrjhWS8jlFQcSZCKB4U1pZ445uryLVKIuiBr7VzbEMQN6zw9ds/wcbfb0Vb1I3iypdvvkXHDQv0IlSSGqFpH6+jkXxvkss//ip1Pw9i5n0m3l0hWwyxbOkQWsUnkBE0njVMw3OTspip1mS4eEmQ65Sd/HK1ztvjDfhCYdYKo5d8VE8CtJyojlAVArMOTsxnaiJBdHsIxYWg6dDbNgZ5nWRjDk0RXFW9Tf6fXHsXG/ov498v/h03NLzMLRc8y3Xnv8SEE6f9meuYuLCZzBKf0LCOOWpQu3yCtvQsT+xbSmq7xtR4gqrdGnaVz32f+DE/nO1kpJLk6Lvu5erB9TzR8xSZSogvP/9+Dp97H5PTcZ5Z9AShSQUv5GNoHo1nD5OsLmCU5AE3OGVJ2uv/h/kd1SoYiouBwqpAhdPCg1hNDsLw0dIWVotNudXG6rAwilC9T2CVpAc0OK0yfaSazdsWUrtN5oeGj5hcvXor00tCzC4K4IVgerVLvs1nernC3ELZzc+tamZquclPu38nYwcOOzg/r2P6xUbMMQMnIjuJCEgedghOCSq1gkpamY9fkYHuhVZwfI1UoEhQc6j4Bs489VVTBKbiEp2fogYVh96mCez5wGwr5VOuk7TeSpOEdUXGfLywT3LAo5JUpbS7vUxkwiMy5pI85DOxwcYLGdhVJp4hqb+leoW5Lh0rKQ/zXkcj9oI0ncuHiR8popU9Ca+ZNWWh6/hERwRKwiYy7iJ0CQpxQwpeaF4ir4LRnWOkkiSiWVi+jheSwC9USZp2Y5Jq6MSkNLiwOMVINkFmT5rgtgjihWpSyQI7xpvxUw7rgtBw22asS0/nmyufoPZ9x3n4wjsprinxX/dcSuA3FRofP87oW/XM7U0THjRRQp6cVqYdvCdS0hvrqxiKRtMPNmPmPD4Qm2OZGWTgmruYXRZH3Relu2kS41AYTyicfe5eREXD81T6asYJBxwI+Nz47Mex44aMzDF0lKCHGnUQupQR+raG+nd+xn8560+cyCX43sI/0tk0xaeX/I2bzn4J+81qUndFsF5L84f+5Yg6i+8cfRcAp/xgE5EXouw90EKDHuXGbz7G6AU1uEmPjZ98jVhTjsSyGcqnlbCqYfDaRmbWNXP0intRXIXwoQDB31Rz3ieu58y33kN+JI5T7bE+5FG3zcZ6MY0RtWk6dRQ/7CN8hfJsiEpKYWKkCs8EOyHIeGE0BFk3jIeEzemKj657TJejrNl6HSPnSPCLIsAoS6Cf5kCyLUOxQWVq/QKaHjdQIxEyXQFGv3gGf7j2NnJrWqnfnGXgwxGOfrQVr3+Axhdm0Q+eYK7bIHZUNn2Ck5aM55ibQ+vtouthB6HDse+s5VPnPMeN3a8SGsogDhyW0+QxQdUhl0qVBPQIFSZOD1JoVqg6aCGEwqQdwxHayaLbEdr/AFsFFR8DQVSzKDbJ5pdT5VFu9Cg3eNjVHkZeIX7MR4Q9Ekc9rJiGkbRwkx5GUSE048H2BFXXnqDc14gb1ahUq8ws1sh1QaFZIdeiy/zUrmYmzqii7orjpN920SuC2FGVt4ca5VTJFoSmBH5AULPbQbOkzN8LSoibHZPTxlKdYLIcw1Q9bF/juJViwkmcnDAmtRIeCo2ax/Ozi5m55lSqDlqUGnxK9SqZPhe9CF7EP+mRzU1GKdeYGBMGwxeYFNs99IZ6nAiUJ8PoLc14/QMoPgxfWku+TdpLrLiCXvTRSwKvf4DoR0coHYtTrlWp1AQ4s+koXtRHW9yDIgRDR+qID7nEBwXmtRPoZUFwRvr/nSg4EY3pjRbVoRJTdlQqG4Ry8j4W/QAprUCDmSWsOtRoZZZERii0QqXGQyuo5JZIyrNakX7hxKADl8/gBVXcoIoW8FAMWUTmW4PEj8CVn3oJP6AzfnqI0JTL3GKFcq1grlunVKdiZgWVxc3MrWqg9cpBat+YIzRWpOWvClve7pLZrrZPzVs2fsQjOehSqZFFPCqUUyqVtGw2jp0trR91gRyWp+NENCrVcnoamHVQfIGpecR0iw9276A+mOPjta/yvY7H+ErrU9QZWX629rfMbq4nsCPC8sAwd2ea+FaHHBhYwmHl07fy/FAv/zbdy5H1v6I7OcXChkm+tvApXl8m+aJh3ebU1uOs7zgEPvzy0p+T1iJkvQj7J+u5sv9DLPz5JrJ/q+dEoYqiMDgtcYz8mzVkK0HUKZNvLv8rkbDFsbkqNo+307v8OHvHGqmkdJyIjh/QEZpMGjAKCpV6F3PMQOigXjzNHydWoCmCua112BWd0rY0vT/tJzcWw9fgG29cQc2rBofuWoX+wg7iXw7Q9dBN6HM6+RaVymWruKZvK0ZWxTsny61XPIGZUSnXKCgBj9DqaSKvRFl+ST8twVlGppLkP7CGuhcnSL9/hBMfdgktzDC+RsM5fzmj744RfzWEZgvuWP4wpdkwxkCI4mSEfJfLGelBDm9qxU5I4j2+bCp4AQ0zJzPA3aAmmxw1stBc33aIyek4eT/Iqtpj9NWOk4iWubZZ+iid2SBHnQKtDTOct+8KLklJGWvcqLD+0h0AnFl1mEqt4ONbP0Z77QzJWJm22Azv6dhDtD3LHQsfpnazwtnLDvJQdgV90THaH3c5mKml3y4x5cVp3HAcAKOujDsQozmcYemCUSpjERQFnp9dTK49SGDOwYnJCSoCzPw8UDUi0MqSMh4wHN6783q0XTFKdSpORFBqlcot5e0Y1U0Zbq5/ES/i03zdYVZ/+WYyH8mz5OKDPP34b9h/850IQ7Bu75UoK/qgawH1z43S9sBxZvoCWEtKIKBqwCE87VHzFxnD0//VVjY9/TEQsPdzdwJwd8vzpN4SdHytKAc6J0y+f9YfiIw6ZLp0rCab/FV5vCqHQM4nvtecJ//+45Ck/xUFqoIsTlVFQggcX6M0H3QNcF1yO63tU5zffIhowGZt4xAdVTNYMyHKNdJnsG1rD3ZbBSXgs2OkhbqHgoRmZFDxRT393Jx+meHzQsys9Ih0ZomGK0RiFUg45Ds9yjUK41d00GzO8K5ICatKTudSewTeCylUW4bg5ssBqvoLBGYtood1vKiH01PCjUjHtq9BKGwTDsg8V1OX5m29IiECdkInMOsQGfcwpg1+uO9C/nNkPVe37eL+8TMZr8T45L6PYPsafR/ez/svfo25HpMNjctZZIY5d8NuHvrTuTS9anL7uQ9xWWT4ZCTPksgozxf6mHWjXN/6Ko7QOOFU862Jc3hg6gw+3vg63++/mGvj0/y+83mevO12Dv38dAauSfJmqZPlgQD3HDwLRRE0fvYwkUiFq7bcyOcXPc/5fQdY2jCK9koCbThIeNyR0t2ST1i1aTWnmZnvria0MkFFoV4rcG/Xw5RbXPQ5CUfxApJyZmah/nV50IhsDTO9ZN4vOKFzxmkHWfCcRdWA3DTu6j+bkQ01ZNsN8m1QbBYEZhSslMCJQLZdpdAaRrUFVyW2o1lSTtd+JwRfiHHouU7yLQaVlMLgUC3Fnmqq9kOuQ2XyIhujiMwScyW4KR0rEtZtqgMlvKAEg1SS6nxHHippWZBhq8Q2juMuLWC/miaouSiewie6tnDieJpPPnYjpberAHhm0RP84OAGhpwaPlc9yC9eOZeXx7pofFLnolteJ22MML4AACAASURBVHpEk9OSRTnKjs7BwQZCUYvMQsFFS/cxd5pDarfCqoDB80tivDu9i44/3MgjHS/wt7JK2LBp6ZyS3des7JIF109x+apd2K+myVsBqsJlKSENSX+OF3jHCzcfcj1frDpCZ3z+PFmrFTCjNqf3DaIogqpUAcX0oahTrpEy+daHNJKrJ3BigsiwRvywiupJdUL9+cPk3SCZFTbFJkG+xwFD4Cdd3ISHG/EpNsrMrEK7yyPZ0/jcpkeoVGkE5lyCU4LwxLxfdVmG9vsVAtNlAjkJDXAignyb9AWrDrhhQVWghC9UAqqMRDAUFx/1JL03rNoU/QBB1WZ19RBeWGB1VtAqCk7Sw016hI8aJ2OKqndr2DEVN6IQHtEIbQ8T3ztDYM4i26kSjNjMLg4z02cw26fMZ6kKvBCU6hSspEqpKczIuhBFx2TkvBjGbElSVV+C6gMV3KhGdmORhj+ZmFlHZqYGZb6zGwLNlt+rImU6wnJyU2WUTt5DxZFSXzekyYgVX06rtYqgYhs4aZd8n03pjAITE0nyk1HUKZP2pz7Jqbt8jl2u8O0334Xja3zm658mtD1M9hSbo3Mphq9agLagOC93BG3CxI+7aFkd1YO55S4h0+HteS9/+M0jLPnxJn4y18opP9hEvlV2gA+P1oCAt2YaiRkVWtqnsKZDbD/RQsky0IMuilDwzfmJTjKEqMy3W3WBEnHBV/hDbuXJvSGlF3hg6X38Lb+I82oO0WTM8dRYH1ZfmfE1JsFZwRntg2xcuJ+jW1vo+OONxE94mHnB/Rf+HICPxSfRLprmw2u2MONEWNVwnPbkDA2pLHZ7BSfmM3mG/GxHrr6bcoNHrk1lbK1B4Zl6hCbYe9l/ctZnbkQvuphZgWvLuLNT+wYxQg561EGzQY846GXwQrIBqyo+zeYMvlDRFJ+6cI7mZJawYbOxbT8r1x4iPFqhXOujOoLZJQIjLwg9UEVgTvpIx9aqKKEgigcXfeANPte2luhTexA79hE/oqKdlkHraie7OMnsxd1EJnysajmFmDxNEk4Bhq6qRSgKsV1jdP5yhHsf28BDX74UPyr34rM3vEUgL6XG8eMuE6dqGEUhmzghQbnWJF2Vp97MUWvmURW5NwQVB0doJwtVB4UaTeeTqdegpQxR6Xki7qDXltFzGoEZWVTUvqozfYqKF4TArgjJvTptP+0nMG1hJwWG5jF6pslcj06uHZy4j69LNYWdgFKdRqYnQmEBdManmevRCcza1G/Js+ARjcQRn3KVSrYL4odVjLxDYsjDiQqy3T5uRIKoFB/cGofaUJ6Q5qArPu2BKVoD00w7MSadOEU/QIfuktYinFd1gOl1towdmoe2YAgqNYLEfo3EoEftDoeuznF8TSFxCDpWHaf353mshY2EJgWKo3Lg881y+ZelP1MvSponCswslQWHtqibi+r6CTQXqL99M56p8Pa/LqP1ccHoBWmsuAaKZHYIDXJPNDB6jvS/BvIeqitBM1cu2k3crBDXLUquPFMktdJJz37GCxNWLSKKi4ZgVfAoTq3MtHQTHjgqVnuFwIxKcHo+EuyxFFPLZcZo6ukQi745Tfc9w5hFn0pa4fHjy5heKlUFY2fq85JCKYMu18mJdrHBYGy9R02gwKEvhfAiJuHhEo0vaARyPiPrwhz/mEvj8yqh0TK1Oz2sKlmkOlFOTtTDrTl6YxPk3BCOkL5Ucz77GlU2gYanqhguJsl7QZ4cWMyAVY+JzxG7lohqccuWD1F/9gjpDSN8sv8a7rnzCs4N+fzzxDL6Hvo0LQumeV/3Lr6c6gckqOfW5udo0uf4wUw3dYEcC2MTfKzudUZLCWJLZzg39HfDmJ432NiwjwPX30nHxkHWpo8SU20e/MkGwhMCz1e4/qIX+Mv0KZzddIRFNRP0VE1RHSjhDEXRK4LArIUb1ggP6wQaSugFhWhDgehxSdqfm4vieBrjMwle+vh/IDImlVabZ588jXRLhp6PHKTlUZ2q+7dw9Ip70fp68ff00/213fTcMUjjbW/y+dsf4Ol/X8c5G3fR/H2Vnz10OVZnheLyMnU1WZTHU7S+/whvHm3jzjfPo3fTETbfdje5ZTV4p3TRdc0uigNJgjMKL/76v3DHxplb4ZL45Ak+f/f1XLFyF9VrxlEcBSOrcd/2M3DiPmZWwe8rgKpg5DzckIpq+7gRA3POkrJmW2PTyBpeHemgNp2j4AXpz9YznE8SC0i1zmVn7KT1CUG7EeU3vQ8yMpPg2vg0/zbdS7VZYsd0MzcOr+WW5AkSy6dZ1jRKTahAdahEfSDHK5NdLK0d48XCYkp1Kq/tXMSXUwNcl9zNaT/awa8W/oa9dgO/m1xFYyTLdcfPwp4NonQUefKN5UyXI1y2dieaJu+9UXonWkbgRCU00Q2DasmJsVZRcBts6qIFzm4epHfjAO65WWp3Ci5a8Tb5Do/vf+TX5ItBvvjPm6h5Q6MxlKP6sbdwdydPMg02bvygPHdvOMrKX+5leEMVQx9oov+LTRRbfMz9YYQumOs2KNVojH6ol6mb1jJ41T10f+pNml6Ald+5mXPffjerf/xZql8fQSlV+NuSP5F62+PH334/Y5sstPNnSOwxqRyNYcZs5np07CTk22USwz96/eNi4P+Ll5g/IGedIEHNwfU1jtlpQEq5tlm1tMdnaApkUGsEtWaOw7k+Yg15RL3CSGeUxhchPOaT6QnhhgNUkhKQYKc9TNXlz/lT8BcV6EhlSJhlXKExVYrQlMiSqYSYSUXJxkL8aWol+8qTWL1lKjMhjKJ8SbpRQXhUof73KtPLo1I2Ujtvxg46FKsNGXfjaOi+QrFiyqkA4Jsyi8woCPSigxvRcIMKZkahYhnsHlzAbrWFDy3bxhfTW3mpXMO7IwU+cPR8eoJj/Os37oJvwNLbN9H4w820spnhb8G9fZdyV8Tk0CdCPLn0MCHNYWl0hEPFOmacCPsyDfQ2jvOJ1GuEVZc7p88hfyxBx/CNND8nGD5fRUnISdHzS2L84rs3865L3+DW9Ks8X+ogpvdweWo3M670lh2crqW8uog3FiJ4PEMlVSMPk8DBSgO1Zn4+QkBhm5ViqTnNgJOgsW2ahkiOnXs68dI2sVdiZLt9cktdkttNqvttUBQCXxqlJz7JkSvrMCsnmLm4i2tueYYXp3s5sEpHTARlVzDg4yQU0AVOUiUypJFr13Ai8PG3PkryazNkD9RTe+dual6Ta6z5jShb/rqMjt8KCk2apBBHBMHDQaZX+pgZ5WTkUNmRFE1dkdl8vqYQO2HjRKWMzSj4BKd1yk0+mVII19b59Ef/ym2bL4KEw2+/txHO8/jxlb/is499nHNuuAGj6LLjwV8C0PH8J0i0ZGlLzPK7H/+et+wKT52zmFS4TEBzEULBSWt0VU/ztqPx3P7FqEGPnhsOc+2xdXz36AusChjcd3+RvtFNlDocjl76c9r/ej2X/upz1Kkws0zhtNoTPLFvKWKhTVzzODGdRPMhckJB6IrMG5z3g70TwG75BqhgCQ1LuBxx6gkEHMaLcUIhm4DhEo5alAS4QZWJtRrBSYOaO1N0HM9QboxSqtNlcWQJBo/VMp2KgKPiNllEohauq2KXDYQBSqNNKWbgzOqYMxpPHO+jVFlJOKwwtzAgI240qH/DxnjOpFynM7s4IKeeQsZF+SEfvaRgJxREzMX1VbJOkJhu4c/34Cq+QViVETpZL0StnsPxdebcME6dTShiUwkbhNIlytNhyvU+RkHBjajEj/qonsx9jYwLPAPyi1PkmzUqLQ5RzafUKKX9btwHDxRf5s4pvkJRU7DjksQ3mYnidLgUuhLoZRk3Mbk8JL0k/4/ArvKYXRTCSso8XTshJ11mVj5n8YAkZeedIAm9jF72UFwfP2jgBjWCU2W8iIEf0EFVmFxhUB2bYXZvDEVApUYjOKXhBeXkqmq7we/Ka9GLKnVt07yw+M/wQ/nM/GCmmx3ZBWzriUPJQG8q44yEMAoKfkDHS7gUG03MaZ2ZcJRFBhy6exW1mzXuv+kOOnSXT39ZSkfPve56Jq9z8BZ7jI8n2Ws4DI9XEWvMUxiO09gzwawWQtscxshblBpCxN6eAr1a5sd5CsKWEJajpfTJvWNXqQ0j7NEUmOOa+CGeL9VxV89vebm5m9mlUbZnFrDtmSVEhgWNIy6RvaO4wyNo3R28lF9MxR9ga6mTD7dvZ0nwBNtLHUw6MSxf4xOtrzPRmOBEpZrnBnu56sgFfLBuK8l+ldptOXKdUaInyjTedZD33ncDmXM1Ri4wCaXzNERL1IXznFV9mP0T9QAUFgj8ySDRceljL3hBVMVnep4sXaUX8YXKVDFCfSzPgsAsezONnLgoRPXbcqeMHlNRbUGhScXMCLrvz+AHDQ7esYAbTnmeB+6/kMD1MjbGW5OjnLfoiBXIrmykUiW78E5cgoTyLRrRUR8npOBccCpW2qf6X49R8QycjTlav3kcJRDgK/u3cfOvb8L+mkV0roAfNMg3a9Tu8pnt1Qhk/pugbagyIm7aiRJWbXxFPRlRAlDwgox7EWJKgYNOPamklJLOZiOYARfXVbESHtk+BSOjkhiAhtcdymmdUq1CdM4ne2EvuVaVulPGcX0Vq8nGclUJ0FIAd37yUAVuWMeOq7hRj20TCyidUmYmFyJ+TOZa2jGFbLeg4XVJz8y1h6hUKydBZ+U6X8rnNIGiCQpOAF930FUPR2hUhEFQdYhqFQpekJ12jLUBmbmslHQmV2gYyQLFxghKwCMybGDHwQtoNLxWQr01grdC4cxPbePFB1fhb5AxDKKrRHftDAMjtZSvWIWdEKiOglXjoZZUZlZ4RIdkTE1mWYq/ji6hUjQZ+coZpN9y0EseubYA7rlZihWDzp+rqJaHlpJ7X+KQRqlBUK6WkDYz67Iv20BXbIre8Dg5VzYlcn4ID4WMF8ZQPLJumPH5Px+wGsBWCRkualmlduEUM9mIlJWG5OQnNqgSPSEoNOoE53zmVjeiOYJ8k4a6Mku2EERPS5KsWz2vxPIUnPk4vny7SnBSBd3l5SPdhMI2XiCIG9JIbh/n4C31eHGHloclJCezMIqVUNDL0rLhRH2MvIqdBN/WKXgB4noFy9elJcKZzz9VZHHglnVcITNFnUyQ43aKrfl2ftr0GpuG17HzvDt5qtjIqFPFX8aWcs2mv3DJwUvwzhul+5QsynCW33z7LH7jn83KlYcpFQJsKXZzQXQfXYEJxrUEk06cI3YtF9e8jVoruDfbyI58K2vjR3jqynM49u4a7l18Fn7RYHCogx3/rjJ7r8sVp+6iOzRBvZ7lhFmNqghaQnOMVRIMF5KYOYXI8SKF1giREyWsKgOORaBaoAwksBeA4gK+wugzC+jZOMS7v/5FvvLVx/nlv76Ljk0H2LKvS9Jtryvwp5+9xsZLbsDft5/Ay/UUHZOh8RRd10zw1V9+DL8HXjjci/8pFXVSoI0FMLMKE00mrLMIV8JoJ4KEsgoDd3dwxj8t5ms/uI8v7Hof2x55g/X/vJbkrzcz/E8FBn68BjSXrtg0w3orj29dSaSuSHBCg+U5QrqHNZLEjgmUgxEU10ao8p6hghdQ8QIBAnOCct5gefQ42/QFTEwleFZdRNS0ePeC3Rws1bMl18U361/k0R+Nc/rOqwn9Ion7bo/2P9+AMadR1Q+5doU9qxWu9dahqT7tkRlGykniZoU/Hl3Gle1vEVbtk8oQI13GEg5fHb2IrBPkwj23kn7JJLMIQgszuFur6L3gGKbmka8OULDkOlRVwbqqQzzg96AVbIzpEqItjl6QEZiaJZ8N3wDjhMnhYJqLavfzHw1/4/PB87jy33byhbeu4qPrXuUH37qGeFhh7EKHxmd0BlbZqMs66L/xzpP75VNPPcSwW6D5NnmmL1wd4OlnT0NLWyiKwG0CXfPJRULUbtZwovCeTS9x3C3Me1d3s/S2TYxvaeTAP90J/yQJyxe972OE/QpeWGd8Oow/qeG0+4Tbc5SOxaka9yk0q6i2tHT8o9f/igIVwPJ1dMXH9bWTntR3rmczS1ERHLeq6Q5N8OpcNx2xGUK6Q84K4qQ0xtaFCY2GiY4IImMesYEsiutTWJBm29QCPF+lJlHg3Q17qNYLPDPbR9k1aIlkWF97gEOpel4SPWw51MFwY5LAgRDVByzshI4YUzHzPkJVmF4epdgkD6NetYNqelgVAzXkwkwAocqsIuEr+KZD2TKJuxKa4psKvqnhmco8Sl+gHQlBEPTWAq9MdPHQ26eBgC+o8N7Fu7hz8Fyyrdv4dNUx9s4vCIAdls3tY0le39eNOaExUYqxKn2Mz1UPQvUgD+ZTnB49So0uzfeeMDgjNsBre08nt77Mh77/PG8VW2gOzFG3Ost1N44Du/nM6Omcv3kTy5tHSBgVfnLsfAaP17K29wj5bIjQwSDBChR7U2iOwJ2f4MS0CiXfpOSZJPQyABWhcMSuYyYXIVMMQcwhGHawzrWgZKJOm+Q7fUoNBokjEP6wx6GmXuxFQYQCii/4ySsXoCVtvJIOEQ8l6KHkDIThg6ugxG0qNUFUSx7idc1n6EgdXY/YTH5KUllCUz5H/sWjwbIoNsrOsBuRlNZynY8IeehjMmzcTnuYustYMc7CqkmEquAHFFRPen4Ccw52QpfZnBWVdLTIrOqzLdfKBcv2877UVn7RvY6Ua/KlPe9l3bq9vOYsRfE0Lr7iI2T+X+beM0qyqzzbvs4+sXLunHtmeqImKEszykiySHox0RgwtrEBY8AGednwGuSAzWsMNtGvSAJsDNgggYSQUBhlRjPSBE2OPZ1zqFwnn+/HbsY/P38/vrVcf3rNqlnVXVXn7L2f57nv6x5JYKwX2JHF6JUBd55+LX/c9xS39JzloTOX4dsawgjoKFY4MtaLFXfxGxqhiNg/NsC5m77DNUfewcqrJbzfDWgfWMA9WmL7P3yQTACrGyHcVOfmwXM8enwLb95+iKemNlC3TZJxh7Ybl5l9uB99pUUcGf/w64iZZmigKwFFUcVFMBcEnHfasVsGtu6jipByPY7nqah6SCgioqaKXQpZ2KVhDuYQbiTBLhUPN6OjNFSqQRLFV2gvVbi8OMVovcDoYgFFgfZMDaUUMW4VMC9arI7liIyQdAusWR8vLnAyCvVuHT9uyGxEVU4o/ZTMEBMtITcrH5SmSsMzMTWfotlAEBIisIRHLYxdCptvhCYltcqx1S4IFOy6iVaycR0dNS2vN0+ThMfyBkFsPsIqS8WA6YYYiy0CI0W9rNFwU2ixCD8VouVtfEcjquhEZkSU9PDzCv6yLjNS5+MkpwSRCIiEPITlz3hEKpRHpEde0sXXfLAahHpEaMpDc8WxaAQmpuoTREJm/iUMiCLUpi8zuwI52Qb5OS1XE3jrW3SWKmzJzzLZyHFmqh0ihfqNPrGjSUINpseKbHn2g2hN6V/9+cf/gYzaZHGd7LjPnC0RW1FITYTU+gSereMUA9SWIKoanPIg0dYgMWPx7q9/lNREeCljev5alXXFZVq+TqazRRgJLhuYZji5yAMru8iaLRZrCZz2iM69NfxEFsV2wZMUawAUUNMuRfO/AHqPzWxm6/AUBbXOcdfkQGOISS9/aWq3YidIXrFEsEth6mwO9fo+khN9oMCMM8tJrZsZJ8vH2p5kWE9ye/wMX1gZYnN8ht9JLwALnHKbnKq0c/DUIH6oUhuESKSpDUTM3qmhmhsxTQ+71SIRd7myawJD+HSZFX46vYNMosXcdA7DBT8d4qUFkYguTfMDFJLCwwl1hBJiaAFJ3WHInOfc9C2oOtgFhZWbXVg0Eb5CbA6qwxDqOVKTPhs/PsGz0SA9ndKgHakK860MzjUtRs930B1EmBVQnYi6rhJbDtd83SFOWqXWZxCaAS+fHaTzcQ391lCS54HP3VRiiAmC9ix+yqRVktfywi75PkJTQatLtcD1+VmOVrtZl1i89B3piizmvFDDWqP6roQqh5v9VBqSj2DFXHQ1AHTUtgbNlThuIWJVUwl1neSMT+IlD73iIKot9Fqe8ZE8etJFsVWsjgbJmMNKOUngCogUkrkmDcvCr+roZcHSbAa1opIe8y55vtLjPumxiNAQVAcM7LyELgZmJO0oSR+WDZRAQdFC/Eil7gkKZgMv0ogLh6ZiUA8slrwkXXqaWa3Ckp/GmlVpDTsoSzH0vgb6qSTV9QF6VeBlYOrWFOnxkPiCx+mroXtrGbFao7G5g/JignMbLNSmoDKk4MdDcidBCVScgiz27WIEoYxmKT/fiba1Tv/3JwhzSeavzxEJhd57A8K4ipdU8XMGlXVCxnvV5H5Z2RBhLSrUenQSSsTLi31sH5jEDTW8SCMlWjQx8CKVMbtIn7nCYiCnxWftTjBCZhayRFmPhaU0ZsxDv6xMdSYl4Y+DIbmTUuWmtUKEG6LXPcxVjYnONNntSyzn44RZn0S2RaNioZgRxMGKuwSBoGnEiV0wsEdsvFNpnJy8NpvtHbS/FGGthGuwvYjFyzTcXIi1JHDyUrYdNeT7rVdNTq120JMskzVa0q8ZSGWbEspkBaWh4gUqU/M50EPmnDTr4gu87cKdDCaWed/Y67gud4F5L01Cl+qAt3ceIHHWZdFfZH91iJWVZd7Z/zI/md6JbvrcnDzJNZYKVDniLGJb2tq/IYhCHm6mWbST/PXp19H2+SojyXMYqlzAP3HnL/jVu4eJiwdprknJn69t4IbMaf7pwm00HIN1+SUmZgr0veIhWh7Cj2TsmANuUVqH3IzMXvbSEfFTJqoN5+eLBLfbfPn+u2ntDKk/tInkNWW6MxXOTrXz/vPv4OrvHOPFxSHOT+ZJ74tRKoecvf9yRCWkcFjhN970Mk/PbWD3ZRf4wctXE2kqkRrR277K23pf4YsrtxCcTqCdjrN0d4OPff93Gf7GODf9xp9w98ef5tn3rOeMl4GMhzVm8gttC7//W0/xbz+6laabQt3cJGzpmPvS0BGtNaJl01YEEYFQUNwQt81AdSOCmEJkhuywxmk6N9Pfucx8JYWZ8/nmuevRtYCc1eJDzhvoj6/w2U0/YfdXbf6lvJ6KH+fnk1tpLhexezw0x+DsahtBKPjT4vPsbfXz7cnriRsedd+kaNXJa3XqlznEjiQx9+iM1fOMzhZBRPztX36T78zvRigRR64QnD/YR3x9mR3t05jpgCdnRujLrfLc6ga0ZohTihM/PoObyqEEylqBKhtWel1aDKNA5ZrYBZJCEo//9vxr6c5UuCN1jK33TvHY6jaeOjNC8DtLTA9eS9dzjUvJH2qxAIqgtaufzk9d4LO9D/PS/ABmWUF/XsZk2qUIc1VBSa2tgRb8+9kruOfaY4w8/24G/zEi2xsQasql1+3nGDN/dh1OLsJPhMSmVD71rh/w8+XtvHhyHaLgYL1nldUDnSSm13Ll/5sP9d577/1v/+f/vx6f/co/3rv1TetQhQTTKApcnz7HRsMF4D/LQ6w4CexQ58DyIPONFBfLBWbOtlFHx7Q8fKEQhCrNLoiEipexqA/GafRG1Cpx6pUYhWKNe7v3csxp4/sHrqU6muV8pUBv2wofa9vLC+4w0eM5qksp3FyIk9NpdgjsNogUCc1otUuSbFCU09EoUlDmLTLdVVpNE60ucFFJ5FsIZY2geszESwhECJEm5WvVQYHbFnDFNee4e+tB4nGfxVaS2kyatu4y+VSTw49uprkYJzdQ4YPP38V9C1sox13ed/Aufnjkeq4aHGW0lUcbN1lNadQUk39dGuHeQ7vZ9+x2Djyxlcf3Xc4XLlzJVZsP8GR1CyemezGmDJ6nD1dVOV1tZ9/SIF+f3ULVsinqdVqagaX6PHdwM9XAJJZ02FqYZSWKU9F1tJoECpiVED+m0Hb1AqCQ1lrUghgbrDkEUur7VHUTxyd78QNJnSnk6lRrMaKazmuuOcqonSNyVJycQmVHHtXXEUFEq6RjNCW0RF3SCTIB/X1L7OiaorN9lamlPN39y+RSLd59+Qv8anmQxISgtZLAWl9FjCXw4grNzggnL7ALKsvbVYQrsEsS7c+glMMKV6BEEhqh1wSDm2dYbiboTlYpP1GQQdChjENAUah1a/gJCfIoN2K4LZ117YscWujhttIpnlreRN5s8ujWn/BIdZBdm0a5evM5pveYjBkZ1Jagf88Ec4c62bHxInm9ybF6D7f3nOIjG57gL4d+xYJm8vmND7BsJnn0yof54tnLCYH/bA7yoy3f5VszV2MVbHZ3X+S3tr/A4ysbcXPwvtc9zoSbxwl1/mbbzxh3i9SCGAjQ1ZCFaopmKSJzTMVPavTfOkVSdbCEh66El6aMl1vzBMDTtREmm1mqtTiICHs2QdTS0GYNEmd17I4Q4UlydSTkdEZvKjS6dMrrVPSaID6tEpgKN247xXgzz4nTvRjnYogZk6Uohply2dY1w8rBEskJBbWl0iopODmBl5KfuebI2JbAklLeIC4R7UZFkjYDS0p+tYaATodSvI6mhGR1G1P4WIqHpgQ4kUEtiDFoLtIMLR64sIOwpaE4KqEWIWYtoqaGVlURtpR9BfFImu2AVkmVdE9TozKkokQK5ookPaU2rZJPNalNpDGqAuEohDkfI+5B2kddNEhOSsqkFxf4MUGrKH/6MSFzCrOKvLZSEagyK9EthCiB9NmuaAapTIt2q0ZSdbj4ZL+Ew7iSehvENdycTqNL0HbYRm+qVLIG2Y4alUaMC4ttLJ0vQFIKu5XpOEqoYA84dPeuIHpsvD6XxKYK8bjN3pWNDKeWuLv9CBQiRufbyJ8JaHSpOB0+O7deZKaeBgUuWEXy8San2nL47T72Jo9ql2DnW09xwcmxciHPnk1nyBg25yolpstZHEWnGWk0A51GI0a6v4J2MgWqgjFXY/E1SdSYDGBXtAihRvyfDQ9QUmWjKZmYYdwt0W8s8dmx13JV9iKPL27htUSAdQAAIABJREFUpweuZDTI8d7BfTxxait6zKfUXYGXk4SGQnmHz4WlEocPjLCQMPmLXhkj84n5y/jhD25h38mN/HNjC2/peYFBPcHnL+4i+WycMS1NGA+xSxFGZ5OgoRM/bUG3w5auWaZOd5Btq3G+XOJMpZ2GY7CzbZqpVgZXFRR7KlQMDa2msmn9JBU/hqaEKErEjJtjqpljaiWLboQ8t7wBnskRqQp2m8z401dUglhE5/UzrK4mEa6gMiKw+/K4vTka3RblkRjZV1dY3Z5CqUtlT9srLaKPrLDz9jMcMwo4m1waCZ3yzgDfVGntbBE7Z+LlA8wFFc2B8jqVZrsgyKZYuiaLWRc0ugzKGwStdnlfdP4qojKsYFQVhAvTbQaW7pM1WhgiQBMBAtBFQIhCUjhsMBcIIsHPlncwsVAgAqJIYNsGdtUkWIzJ200PiZAQNDurYuc0/JRBqztBq00QChVl1SA0Iq7ZeIFNmXnOLLejzlpEocDM2tw4eJ6qoROdThCfUvFTEBiapNB3/freU6n1yjxQPwFuLiS0IoyytKQovoJmK4SuRqG7giYCEppHPTSxhH/p/cVUj069jBOpvNIYYPyVHnA1gkQEKwZBPEK4gqDTJYiHKLagsjmk3q3hreshtHSWrsqiOeBmhcx+7bWhrnPXHS9zWGtDbQjEQJN8W43rtpxlIhMncUindLDO0lACpz2L3WGtgY8gMk2WLzNJTfvMX25id8gCuT4YkjkPzV028bMaViVkXGQJUyEd6Tox1UNVJF9CemsFbXqNeS/DiDXLtdYCnz5zO3Y5BoFCPNfCn4njN3X8hRiqLYiMCHNZxUtLInKzTcXOawQxjUanRmgquFMJRAB/eNtT5OI250e7UOoa1pROUPJkpnyhhXHMwpjTQVHwUlKRZhcFXlzgplQaXRpzN8i1OBLgtIWYy5Jiq4RyT8IXUHTpTlVIazYzz3XhJVREIPNynazA2eywrWMaK+7xB5ufZ3N8hmk3z5HlHrqTFcbqBZ66uJFTi518dvMDfGf2ep5Z2MDJZhfPza3jzPE+rtlwgZRm89SRrRTbavxBx8ukhcE1R97Mvz5+Kw+evIoH9G7GFZUDdo7PPP965qfziEQgCy8VuuMVXti/haNWJ33xFXxUHlvciq6GOKHGI3Pb+NjQE5xxOgkiwWI5hZ3W0V0D4UWYi00Wr7aIzai0+jwiPSLodfBNCdj6wNt/wa8m1qMsG8RnoDkQoDVUki+ZWB8/w+V/vsrk19bzUtRLsa3KUHGJ1VcL/PNffo1YPqD5j22sbDV4pdXFFy//If/87TfR84RP20t1hBvHP57kSTHIhdfcz/2PXEHmYkj8rM57PvgoPx/YSe4UzG3W0X9f5VsD1/HOnQfoWbfA1LP9vHpmiF13nWTuTImt28aZXcwRIogMSbWNDMiMBnIf1uTQB6GgN0Mq61X8bMC7hvZzNupkvp5mW9ssJ2c6iVColhM0Dxeo5ASHzg1yXOnic+euxVYNnji/CV33aRUj9JgHr2YI2l3CpwtMDhs8OreVsXPthCdSHKt3sG98HV/eupf7pnbhaoIfuIPsKk5xbrmdUqHGZFDk4HQvn1r/c2aUPBMLBQrtVU6c6mNb3xQHzw9wbd8oq26cqeU24nM+imWiRAqNbhW9LrkbWktImm88Qkn5TKhF/mzv7Yxd6GTjuml0EZAxbb4xsUfWSFf9B3939FqK25ZI3lnh9DWbKd/Uy/LuAm5PEc2GN77uVzzfGGbGzuJ2+hx+x3d4/56X+VUuxd/e+kN2bT3PF+94gS95G7mud4xHawN8e9MP+da5m6kOCuxba9TeVmLu1gHMeJ9UJCah97JZbth1kvvPXcd8I4XbNECB8mqCUBFyTY3B0gu/nL333nu//v9WG/6PKFA/99V/uLfr9dsIIoEd6FjC583ZI+RVSaH73uIICV0WqyenO1lXWmJrcZZie4UWGuXZNJGrEmkRalOgNyRxzy7JsNv4tEJ8TvCamw6zxZzitrjDF89eTuGQINrR4KHNv+Scr/Afk1dQeEQgPIFeV9Dr8oZQbQUvDW4+wijLAlNfVREtQagpWPOCRloh8mWou1Vs0ZGpUXekTCZ+wMCPC8xqKDPMKgGNThUvHTIzU+CY0854OU/TMVATHo6n86ENz/CNPc9wtGRy7B+20/Gci32Dx0un1xPP2Fyxboy5VgY3UinrBkPfipgL8iwndEZv+zZ/dOXLvHXPc1S2euzaOMqnD7+e+X8fxE8oNNa59HauMHGqk/pKnGShRbmSpKZaPLJ/F7NLWVb2t3PTa17FU1WWL+aZDFMkTJeuYplGMSKaiZGYDRABdN04y6KbQheys1vUa2wy5mhFOiftbs5VSoR1HdSIpm2iLJpEesTyk9208mB0tPDiEdqyRqNT0lrtgkB1wFxRMOrg6yr53grLdoKaZ6E8k4XDCWYyFocrPfR0rhK+kkJrgXbeIrAkXTk5BfEFSQb00lLX7xRDjBWVsK6THlUwqoJGX4BqC5QApq0YXbkqqghpPJeX1F7/1x4eBS+h0uiPsPpq+IHKa7cdZ9/sABsKi0x5BU4utbPqxPjiozeza/Mo/6f9CBd9hQfP7eRD1zzFKyfX0zm0xOxqhgknw0RY4KfrH+czE9fgqzp/88m3cfTCIN8ZvY65uMWm/Amu6BvjQK2fqzom+N+vvI5socFwYZmXJvp5td5Lutgg21bnQ51P8572w3z5/B5+euIKzh7rp29wgYTukjYcJueKqLMmelNDb4Ssv2MMoYS4kY6HShCp9BorDOgNFgOdE61uzix3EAYCt2EgbJXc0CqJ7garBYE5ZpKYlmRNoy5DmCMhISOaDdZyhGaDaiuoI00KZpN3juzjlZc2ITx442tfouzFWWwl0V+ME1sJIBIk5mX+qNYENycjYFQXjHKECBSsJdYOlBGxRXmwlPdpxNDgPJbqoyoR6+PzNEJT+tsjlQBBTHgUVDkBeXJ6M2EgC0y1rMkuZSwkjEWyixmXhyw/Kcl0ej1CcyKaJRW9GWGuSjmvU4gYWDdPT7JMxdJIP2Gi+ArX33aSRmRQb1mkj2ok5+TkVG8AivTphoZy6UBp1CL8uEJsSVK+RSCvOdWWzwdtHkPFZRKqS1Zvcv6xQRCKfM2KTaszTqNdXZv4CwJTwd/VoL4ap6NUpZSpI7IewdEM/dvmMEstdu84xdm5DlQzoN4y8T0V0/B5bmY9TqTRmyzzZ4ULtJsXeV4bIPHp4xQmFLb90STjtTz/dMUPeWh8J54uWJdZ4uLFTnoGlyimG+zom+QzXY/xlDfMQP8CRbPBgpOm5lr0ZVdZl17CVqQ3eKiwzEIthT4aw1pyEZFg6UqLKFBQWhpRqGCmHO4dkP6uKb/ONxeu53i1i83JWQ5W+3EUnb/reZjN/RMUki2+99078Lo8TNNn6UIB4Qkau1poswbmgobqKaSesfi9O2Ua2q3Jeb5y6EpiVy1x/LrvkxJyD7rvezeQmfCJQh21oaJXBcqCKRsljsDJRKwcbpMH6MfzxLZX6UmVmd7fTbq3KmFdiqA3X2ZpKY1RVtmxeZSiXmfayWIJn5jwuFAvETN9NmXnGU4tcfZkL6EFXibAnNewVhSsZQXj8TjlXT6dOxew0xFe1aLZCbFFMGsRtXUpQk1BCWSu4NwejWo5wdnpTnp/Jij9/SFKh1r479B54+WHSCUdlo6WiE2q+EmFWr8gNRmRnA7R3AgnK6j3qJS3BfipkPQ52XBMTwSUN8o8ZOFDRVjcuOk0806KTquCH2k0QwMBBJFKh15hs1FmNdLZXxtmajVHLO7SqpsEDR01IeOxopqO4qqotiCIh6iuQHjyd4TyzIO1LKOq3KzCtnUTtBl15oM02jNJzLLCxmvHiVCoexbR4SSJ+RC1paA314BjDfnTyygEcXk/ynxi2ehSHQXhSRgUikKQiCh1VIhpsnjbmJhjxs2S0Vpk1SYFtcE2c45JP8eReh/Tp9tpDbsosYD4qI7b52LOaqRPqehlDSKFoMdBqWiAjB6SExOF2HKEVlegqTP0mou8cHY9ihZR3KeiLJp4Ay7rMkuM/XIIzYbEmWUa/RmEJ7OTNSeSbyiCZifYeR0vFaHaCpEOmXMKhaNVlq7SUMs6Tk4Q6VDoL+OiMRRfXsvotWhFBlm1yZKfZthawI9ULnhZlkkxNV+Qn5sWEdoaUTxAK9kEniaVSTUVNxsS6qBECol52dTWbDAr8vsMLIXFksnW9AxRNoSf5knMhtz1my8z3sxRKScovix5FW5KxVqVkyXhyoa/XVIwKxGhKlA9ma5QOihws3JdVB150BehwlXbzxNf8xDPPdlJqEuInVENaLZpKOubuJHO+GKelmHQiCwem9zELd3nuFgv8OCGh+gsTPGHA8/xrp9+kIWFLCLlMTNVQIv57Fw/zr6LQxxc6AMB9aUEsY4m00HI9uw0fcOLtPev8p/DT1HSJ+gzltj7/esQnlxDPE+j0ogxeqELUXTRjIAnTm/hwNIA86tpTh8ZZNv6cXbnznPBaedstZ3tuWk681X8toDV5SxGDfRGQO1Oj7BioLakokBd1VF8hSAVsO/iOvSUS+KESXVDSOqCxofe/TOecNbz4S/sY98bNxIbK1PdksU+luFikMUZ8HmusYEDh0dotRuoLkSh4MGJXXjZiEP/+xv8dbiH1O3zLFhxLr7xG1zxlx8gNBVWtir4puD5+gAECrUheGX3D/jrDVcT1AyOTfay9EgP1c0Bn3zDAzxwcQftD6mo19VxhEppcJXKUhLhKnjZkMIxHy+todnSm686IZEmWB0RJHtq/FbnQR5c3MHkdJH1bQtcPNPN7dtO8I7h/UwWE7yx9ygHT60j31FFERHz9RTi15BTEZGMuVR1jeGPzNL4sMJYtcD+nT/mS1Pb6X/Qo3J9yOHbv0JKWHx3eQP+ZIKqonNmvBthBdTmksQyDovjBV7whzh3tBezu8nqQpptmyb5k44neGjvbkrrVjg6301TMUhNKNgFHSVSqA4oGHWFSFWINEnFFgNNNnfN8Rc9v+BiooDV1qLmWszV0lyWn+HRIztYqif4z69czd73/zN/3HmBzckTPOWMcMe2Y8z/sofypohWu+CF8xtpZFSe3Pww7+8+zgHH43fe+fu4fz/Lc4/u5oHoGn5z+9P8xcBpjrhJfjG6hW/tvwk3rdB+9RyrlQSpJxKEmqC8NUTdVOPYa7/B3mYXjx/chudrtBeqtAKNMBDo8wbJCYGbkRnVi/v+ewXq/whIUgSkNAc/FFiq9HfkxX/9aZoImW+lJNI5UBhdzTNaKwCQsWzUmopeVsEK0RtSiulmpEk+MORGVDje4sHv3sgtT32Ur1e62LZxksWbXG4fPM0XVoZ4+88/RPqbafTFJskpB8WXWYuhCXpDUv60hpSEulkJhXBLPiLnSHhITUck1oKBDY8glNK0KJIXmVH/L8lUZUBuFkosQMm6bGqbZ6RtgQ3tizg1E380yd88+iZ2vvx2TOHzwpfu47s//CrFZIN0e53X9J7h6EIn7+9+hoZtYMxpOHmdnr//FcPvPMzItz/AQtAgIOK7z+3h+WsKDL7jVfKvVvHSEamTBvMvdPGpOx6gb+M8jRdLGKdjnDrbzRuuO8jZN/4LBz/8RUzhM5xeIje4iuPodCcrnD3RQ308g7UUSay3JcjpTfpjy5iKfP+GEhCg0IgMjqz2EIYKwhZYSRdlyUDtapLurNG6oYY1o2O+mEJZMdYOHLJjDtDoFMRWAhQfMmfh5tJZbF/jTwcfJ7YS4qYVXr/jVRIxB9vXCHVIzvmEqsxHTU3KbLxar8Auyuui52mX5JhKx0uyq9hqlxOtSA/lhicgnWxRsBrEVE96U3y5cAWGQHUkKjsSYGgByqrOmWobfdkyL58boBEYfOWyH/CJkcdI71zmJ09ey8i3PsC9B96AVzH54v7bCI2Io8cHuPnKE4SRzLUMopDHNj7Cp0snuefvvo9dlHEJf7/pQW6w4J2pZT65+VEePbqVmzecpX4qx6sn+glm43xs/RPMjxbpSFT5/c98lFv+7R6i42mK3RWMkSphpLArK2VbiUwLvaZglgMII4QSygzUtQiIuHAQhJiKQCVixUugaQFBS0VpqAhHYWUhzcJimsgXuHmZ7bdmIyfSJObfj0nypepFxBd82l+qMPfVYZ5/ehuzXpbqiE91g8+pagezv+hD+2qRzPEyet0nvuBT6xV4cfk6xaMeZkX63GqDYBehsh68TIjqygUv0tfkXGqEJoJL0DV3TaYGoCohTqiTEA664lMLLQJXlZ11IX1I5rIANQI1IsgEMj+2IfPjYC2KMyukvMiUPtHEQkBiWuHMgQGePbOe/swqqxtUyltCwkhhZrJA/vEY2fMOaivErMo4jEiVh9FfQ2lVVxbd5kqEmwa7TUqZ1Kb0swZmhBmTWX6/pmsqkZyeqi2PSBMYVZl3p/gRZjWQU+eLSbSYz8z5EruLF7iqbYLU1YuMvdyD/eN2Hn3yClQrIGG6xC0XoYYsLadwWjrFeIP9CzKU/BpLZd/2nwAwf1s3X+99jmtKY9wak9FZI/kFeq1Vfvvm51msJml5Om8pvszeVj91x2Rzeo4HTuzgwLOb+N3+Fzm90M7PDu7k6sIYlUaMlq8TBILYoovwQ5RGS8KRtEhK+vWQ3tx/ZaCedHO8sXCIpO7w5bFbODfVRivQ+fzCrQBssOZ487ue4XWbj1FMNlBtBbsUEvmCXTeewVyB3NmAzOEF7nrN29j94T8EwG4PuLpDkhd3fuaD3NG1g67H5ohN1iiccmURsa2Bl44o7RdkRiWpt3jVPNfuOcHNH9nHlcVxVp04bpdHSndIWzb+ssW52Ta0soTB6ErAip9gKLaIHepU/Bh118QJVCYaOR4d3yTBSnUQKQ/hSMJp+TKPqVsE6oqO/pkcXV8yCKyI9HmIL/r4poJZCdFaEsrjW/D9N3yVwsAqUSxAtQO0nm7OfHI9/7792/xd+1Fene8ithjixyF73qf0akCowtSdIavrpfe3/aBLz+MKG+85tdZYkZma5uoaXC2pkBiukFIlRTNckzBn1NalGKtfP1aCJMu2hOo16yaRJ1BcQRSCFXMRRYdID4nPKhirEiAnfLm2uBmZR626EUYtpP1AyGPnN/Hs4npe23Wc6hBURiLazBr7Lg4xe6SD9LiHteRiNOTnobprkSZrEXNKAFpD/g6tJYnegQlaU3prpZQ5JK65aEooo3ICk2FrgVk3SxAJykGcWqjLKDfXIoiBqGrEEo5cHys69nqblR0hTi6i/4EF2h820ZoKxWM+ej3CLilrETly/c9eCDkx2s27dr7Ev+/+Bpf9yas0dtd5+9AhJhp5kjfP42QF1R0dxBYj/LVCO74QojUi3Kyypr6A4rGI/sdaJMelZNzLWOjjptzPVHA7PDoSVRKaiyW8SxLmklajFsYIIsG8l2GzMUeAkN+fAltGplBG45jLKmosQFUjIiMEX2CugLkqi3yjJuNtmmt7bqiCtRrR9/MK03t7eXD8MnbnLzB3XUSzJPjl1CZq9RjqrInWCLDmW2Qv+JLobnAp79SoSgJ/JCKEA/EZweLVIYEl5ct+QsINnUGbhOaQ1lo4oY4fFzKuRFNwMioo0Jsrc23bRUJfcEfhBLN2BlVEPDm1gbjm8Y4Ld3GwMcBD1Z288pYvcObNX+W1/SeI55u8d/1L1D2T92x9iXjcQZ80MBdV/u0bd/Cd/3Un+6rD/OS7NzHVzPKiHfLm73yMT93yFgpHq0RC2lM0y+Mt2w6R6Kmhn4sxd7wN1QzYPXSBR274Cvvf+Xk+WniBo41elr0Ew5kl0prMdq3aJqqD3BMqTfzJBJEGfkzS72U8EWhJT0rWzyeoDQVkB8q0Lm/yxR++EXNZ5W8ffAtdP1om86Mm5opULV259QLFpw2SpkOUkpnHqg1DD9RY/8f7MVZUPjF/Gb9z115m57Pkjguu+NQHKHxrH7VrWwRWSHI65OO7H0M4grdec4Bbf/v3CCYSbNk0ycW7v86PP/k57rvtfv75a2+mWbUYf73CfD1FdS7F+FiJzBm5D2oNgZ/Q0GsBXlIlEpLzEqkQWiGqEvHL+mbubD+B0lBJaA6hFfLIwe18/tRtpA2be/IXeP2Nr5Azm9yz7nHaUnVaTYNissE13eMEoYKRdPFGuin8U5zuP5MDsvzzJk5BZ0PXPFd8/0/Z+tI7WR3L4XW66LMGe3acZkfvFNu2TDD1VB+RFrG8kmRkxwS/uf4Im9ZNM1XJMOHnaPX4HJnvRlcD0mcFbkpcqhGUQEJZAbSWTCjwWjo1z2QuSPPK+QEuTLaxKz/Je4df4utnd/OjO77KL2/5EtvvOcLdf/Kn3LX9Nfzmzz5Cy9V56KmrWb7Wo/vZCOFCkPeYraUIIjlUusrUeeJH99O6eRun/jTN6fd9jU5N+lQfuLgddzLBLdcdo+vFgPkDHSSOxPjRpz6HtrXKlo2T9H064O7L72Ll9QI146Eu60ydacP3VBRVUtrd1NpZ7f9DzMz/CA9qFElAUhgp2IFO3miSU+OXnrdUj4ptUW1YaKZPfTLNxHyOs+0BUSyAZAh1QeawQRCTC5dbCNCqKpEGVjlAOz1B54srdAJf/cjdvPcPfsHlWXkI+eHn7mD9dyV6OgTCWy7HjysEppy4WUtgVgN8S5NTm4xHWPIRcxaJ0xJ6oFVVfDNEtAReoNJwDRxHIxl3EF6IYkeYCw3cYoLA0CWhSw/5yI69fGH/a8gW6oSRQr6tSiNlYr2cwl7N8+Ljea5wdmGVQ2q9Kvm7pnlmZh1Xd07wgSffw1/d9ACf2/9WJu8OiG29jty5kMGfVDn2jjQDWgUEjN2zA70mPSu5k1AdgPe99TG+dPZmBrIrNK9fxHukxIbbJphpZdjw8AdACxFmQOrlGOEtq0TzFmGvgig40g+Kjr7cxBs0sUOdol4jLlziqsNmUwYqLwdJmp5OPttgOVAIzyQRBigXEtS6XTTLIxpp4kUK5ukY5W0+6dMaXkJSW+0Bh/wZOXk2agFP3LOHoEun+ecmtR5Bfdjn8dGNdN9nYM7WiIwKlZE0Hc8u0erLsHqFSvsrAcXjAavrdNLnYPomAzcb0OxSUQIFNyshGKKp4qVlEZDRfWxfp2g0CCyBWvVxMxpeXMqu3LRCZISUl5PotkLGaEnqb7HGkflu3jf+bo7u/hZPtU/w/q3fw45UDrUGGDCW+OihtxIr1FlfWGS0VkAdjXGm2clu5y1EkcIHh55hT2wMLyNzr3q1Cuuf+SB+TcfIOly78QIvjA9ROB6x4Y9O8/yRjfzF3reQ6Kzz8ulBsq9f5Ve7vsWHJ17HVdmLjNlFVtw4dqgzvpojDBXs9gAnoxJqKvXAIhQuQSQIUQiFoKDW0VHp0jzyeoNW00RpSCCH6kDyoBxhuOm1rM1IHurMcoSTVXByawc7XRaVsZk6ytwyqYMnyL3Yzbc6rmfTyBSGCDixb4h1Xz9GWK8TKoLohu0EMbnZyJw/GZ9iVORro0jQg15XSK9FZTgZ6ScONSnHc0ONVqBjBxphpGCIAAgI1ki+KWGjIj2AsZRNq5EET0G4UrYdv6jLrMBMJAm/mqRnxufl4TZSoNYv1wVNheRYg8wrVQhCVnb3cO6tJZxNLTQ1ZN8jl7F+bxN9fAaAoCNHJGKsbNLRmhFGPVrLD5SfV6sNlLQsWq0lBa0ZEalS5uylIzQR4gQaMd1lyUviWyqqokiJryYoD5l4SSm31Cseoa4TdDhYho/e4fPdI9eQy9e5pfscv1IDeveU6bCqHFnuYXI+RybTJG65pOIOS/NppisZKuU4Qw/+Ib+/5xk+UTzD+X/dSWj7vG30dma/vI7B2y6n1F3mraUDDOgrPNsYAWB6Js+HV9/OL6/7Kt8wXLxI5Yb150ltsvmrZ9/Ia3cd5UyujdtSJ5jtyXBipQO3aRDqCsaCQzA7D0E7tFTUliBIBpRi/+U/vT3u8VeL6wkjBV0NGO5Z5KWxQYL5GL/IbiVyZH5q6pyKWYnwr/VRrIArhsc5/MwIag66HpsnKKSIXj5G4gQM3/1eRt90HwA/bSRp//orREBwbhQALbmdxs6AsG5AwUOzVZKTLeZvMdhRmObpiXXYLQNl3iR1QaDvabB/qp/N7XOM5x3a8lXm5iysZYWM2sQUOsPGAiWtyoqfJGIduggp2zFMLWBps4+wBeaZGHZnQKRJ32GU87BSNpN/JHBWYiheiB9XaRU1Gt0KlRFB+/6Q2oBAs+EDn/9jYkshiUFBqxTS6Oxj6LIp3nzwfWT+I4UVV0iN2+R/Pgpd7YzfXSQ1HlJ4RcPJsFYYqMxfIZi+eTOkXLRZg1ZRoLag3gd6dQ2ISkS7WbvkPQ1QsNaalx1ahbhQsRSPEAVVC/HrOmptLbN40sL1YkTpEMWIqPfJ9VlrgnAj2XAxJZ01ORthLbvoJ6fI7Dep7+jixY/7xC9bRVNDHj60g82fXSScOQ2qitLdgWgrEgmpWIgtRSRnfOyciptSaHSzVqxFxOcEoSrXL4DQREaoKBFuqBJGChmteckXWNKqtKk1ymEMlYilVvKSD9w7k0aNQWxOoMxaNHsCnFLAmQ8UpS8wGbK4XSMxK5tk9T4FQpX0WEhi2mbkyx6Pb9zDZX81yR+1Pc3ep3fwjeoNFPZr5M7bxFUHre6ycHmSSI3QGwp2Vsj3ZqsYZdn0La8TzNxiEJuSfsuZ3SbxOaiuDykeUnDyOkutJAWzQUZtUgnilDSZ95tVm1T8OF36KgkRMqwvkNAdRMLjxKlelKScaqoXLQIBqiFTDbwkeKmI5Jj00PkxKVdXHYFZidDrIerCKoPfLeM/VeAn9+5AK9msXK2jrCTZ9OllcBeJmi0o5RHFGH5CNvISsyGqE1HtV4nPRVQH5XnNzUaY89KDiZBN00gFc9RiZihDRrfX5fpiAAAgAElEQVQJkYAkgPisTRDTqAyrEmLjW1y3bpR/n76KgtVgMLvMqcV2Xnx1A0rc56jeTWBrfH91D4ov1+rU5hV+Ob+ZUqzOdx6/iZ7L5pj3cnjpEHNVYe6GPGlvEefqOneVjvE3Y69n6P5JKld24VsKQQwSkyqfvONhfrxwOboaUO/wIYJSts7N2VN8c3k3e6c20LQN3LLJ5ZsvMtdI44WqVG1NZ+gf9RBeCLqGuSRp+k4ezCUF54o6yniCN206wt4vX0uzXQFFUD+RJzUhBzHVAYX+X9gcmNtOszsiZUc0O+HlcwMM/PYM1j0JLv7im2z/hw/S6I4IYjrO3VcxfP8UP9m4gzN7vscTXRsx7hun8s5rSDxXQtlnkRwps6Cmuf+fXkc8q7BvYRCvXUdrKpTtGBtfeBfOcozuJxXUQsSdW07wzPg6KrUYKBG5jip2oYBqQ3o8RHWkxDfUFFQnBDugsi4GIkTXAu5InuTeqddhdTZ4fnoYtSHo2LLAzJk2Xl6Js2HyPahaSCHV4J7D72B48wxhXSelO+SNBjFDZobPf1yheT7D8McvcMep11G+uYWWrXN3xxHu25ykciZPFA8Z/D64mZBDG3vJxFtsyC5yelsD4Qs0I6AzVuX7+64l1VnD0n0++ui70Nta1M/kuOPmQ+wLclirAYGlYC47BLGYBAplQ2kzSoTEkg6lWJ17T7+B9vYypXiDRTfJk5Mj3Nhzno+cfjsfH36Cf+x8jviXXgLgO9VX+b+jN+C3FGInDDb/+WH2nh9BnY4hjuTY8eKHsEsRL77jH2lTEyxv1RGWbOjfcOx/0fxxB2FGwTThhV9sJ9YdYW0r4x7KcduTHwUFJl4YpPYhnwfv+C5HnW5WglG+6N6KHvPY3DnPxdU8DTUCRSPUwM399yFJ/0Mkvp+7d8PdI1Q9i7zZJKG63JGavfT8CT/G0eVuokjBnYtLKls+RGsIopwPjiA5rkoZZ0p6SBCQP6ZglsGPCWI1lWhhCYDM+QaPbNvJutIiD41to/PzE3IBBNSRdTgdCXQ7IjEfEanS0+DHBaoLKAqhqmBMGSSm1yR/TbkIRIoMqU5mW9Ir4Gmk4zb6CxZ6w6O8MUUQU4kterTadPxI5aZ1p9jaOcO5ehsrSyluGz7DVW3jzLaZ/Pj2f8Hf6vDlOx9gyy3HOdTWzhWFCYbSy/zqvitQmyr33fQsr/Zo2Pd3sroZalt83ESCEx/N8qX063jtnoP0b5jnpMijNFQaPRE/+63P8x9LV+B9tgPla3Umri3hmYLFiTz+z/MUbp7nfVuex0wGnLXSRGeT+KmQoa5FKp7cgHL7pf/Oyer0XD1DLYgRoBKh0GsskxMeMeEwEZY4froPZW0ClD6r0ugPsKYMEid1sodUcofk92TnVEneS0HmArhxldSk7NLHf3oAY6VFcqzGL8t7WP+Wc5hpl+iRApkjS4Rjk6hBRGzRIUzHKG+I09ju4AoDJ6uSnggw6iH1XkHpMMQWpIRSCRUaW23iF3W8pOxWBXmftkSduOax8Hy7zKSq+8QnG/hJg9qAip8OMTM2flNndjnHSM8sCdNj/GAPvesW+dsXb6X5bx18b+Z6Hjx2NcceH+Gx9BCg0JaWr33qaD/CV6DgYZ/NYLyQ4LnTW+naNsv9O5/jbdue5e2f+Bj1nIbaVPFDldjnknhekp53jfKjob187aWrUDttdveP0l6o0pOq8KlH38jkYoGlWJxTSx38x8Yf839nr2JuNYM3laB0UJCadggslZ03n5FSUyUgqdoIIKa6dKkNLEVllYhnZkZQGhqqraz5IiTEx8lHeGkpfY7Ng5uReZ1BLKJwKiS2HOHFBK1Oi8SsI+8x38cM2hnrirFYS1HYpxE/s4iiaQjLpHx1J15MIXfeX/M4C9yMPLyaFXktRCpYK1LKqASyYAxM6YGIjIgtA1OoIqJgNBmOLeBHgloYI6O2cH9N3RQOQol4tdFHbT4JGliLAqMqu/vJaSm11ZoK1oqU3Dl5Ke9vtUckpyAzJuW6YUzDGF2EMCS2GrDcnsdPhoS2xuADNtrZKRRFAVXFHshhF2Q8hx8XEtYSVzBrUpIXmFImbdQizLVhoZdUUH05kTaLLa4oTtIKDVKaw+QT3TLgWwj0hRr14SS+JSXH8SUF1VWoD0SYcY/ocAal26Yxk+Ku9a9yrNLN6dEuivk6VdfCPprH6m6yqbDA19f/iJc+spXF63WEFnHjprM8eGoHR9UkT+18iJ95vZye6CQ2oZHZs0hbosG9Had47/k38MjZbbxv2wv81cjD9BdX+IMDv8WHN+7lnsIFHq70sW9mkGg8zpiaIh2zWYrSbEzMcXilh1Y5RsczDRTXRyQSLF6TlIdMI0KkPCJN4b3tpy/tDQ2lxplWJ2OrBeZXMlgxF0+HGzecY1fvOOlSk6n5AvWBiGRXnfUdi5x8bpih/yxj/cEK50c6yH/j0KXXi3t9/EvPECO5k3zoJ79H6bhHWKtden7qPcOYszrdewOKL/tM/IaOXTRJXFQ5WeuQEU6RgqjoMkfT1/AcjWKxxtxUHk9TUCctvCQMbpgjpdq0QoMXqhtIag6zThZDDdDVgMVqimjJRAmlWiB1XiU2Jygcjej5wTxiqUD7QzbmqoleFhi1CN2OcO+oYns6HS/arG4yKB3xiS8FJCbq5A6tMPthhZ7dM9xQPM/sF9ZjVnz0/4e69/yS7KzPta+dd+3KVV1VncNMT/dkTZRGoywhYSSChDHJBtskY/v4AD7H9vGLbTCGhTHZRzYIBFgiSYAQaCQQkpA0kkaj0eQcejrHqurKecf3w+7XXuv9D/xpVs/qtbqruvbz/MJ93XfDRa5biKLM6r4U1T0m9UHQcr6hUispUu8XCc9DdAqEuoLoCNiGPzRyNX9oZPdb3N59mdO1Afr0MqLgIuB/jwhk5Co9soUmtLliZ7i83A2egGCKGCsikrVmVuMKSE2R0LzfSHqygB3yzx616g/AjKyD4IG8kMfJ5dEKLZadUXr3ZCk1DRIHAiivnMezbQRFwRnpAVFEsv3BV6tLxJN8gxzJgk4c9IJAcBEf77F9ph5vzaws4DKYLqJKNiAQV1ogQLYTZVArogoOO9U6C47OjJWieLoLPS9gxsBYFtDKHo4hkD7uITZlkuddIjMO0UmPVkpCtKGTAmPFl71mjlThyFnc8X70XIffTO1hfixIuKdG4XIXvV88jGyEERGobgiSOtUhPOtiRiSK19oYyxJmxP8bNXs9RFug92XXlzbLPhbR7HERbIHojEt1vcdAX4GE2kIRXaJyixUrRttTkNZyaweVIqpgkZQsjrcHmLzaC4brM/u2/zqVhi+rNVMuakUkPAvNXl8Z4ugCRtZ/T2NTNqLpIqoaQqmK1LaomL244y1ExaXvByrKxCJC0MAdSFPaHkNpuihNCBQ88ntEQgseWs0f8FlhP55DX12T/Kr+0NIJ+G6oZpfLNcPzhOU2DiKl59IIHlSHdZBEqiMCcqpDXPNTHvbGZ+nRqrye9xUkf7f3KZ6f2sKLt/8r+WCQsqGgp1vcsu0Skuzyzp5jPHz4RjzDJRRps3HzPOYvu1AaHo1+kXftPcSh5VFevrSJ8HfDTP5BlFZaRGoJNAY87n3zYZ7Nb+bsqRGSv9AZecss2VyMZkvjxfmNZN0gdw9eoCloVG2NDjL5cpgPrHuFVS9CVVSRJgNIFgiIZO8AM237DvohD6GoYqctlp0Qg/uWKFxNIrgCY7dMM6uEkSsSX//oAzxa2se73/c8P9v3NF+7eC09r9rc975XOfnIdjpJjcf+wGb/vy8wp4Ro10IoTVi8M8bQ9zs8fM0QlUf7aH/GoOwZ5OYTOEGXP951CC/qIn9HIXZwloEP1JioZvjI7/6G49+/hnpUIphpUBcCNIZdFl/vo43f0IyvWyaqt6lejuNJUB+CxAULVxbw1jhUT5FQWi6VUQFLgb8eOs3X56/F9UT6YxUK6GQiNcYGl7FVgU3pLOlQnctzPRipJv2RMp7h0hVokGtHeHffMR5Y9xpfmdiDq7uY60fQf6YjFHXSe/L8SfoVnilvoYKCtqBRfWObHXdPMHm2H+tymOhIhY1dOWYu9iKsqqjdbW5Yd5WKbVBqGFiWjOv6LPWHNh3k5BNb8CSQ6w52SKbRLeEYHkpN9FUABmwcXaIvUCbXDpM7nyZbinLdyBQ9oRqHvrMbd7TNgdeu5YdPXM8j39/Bjx7exrGXt5JXQhgrAl/4i+/wieQMDxXGGPzzCRY/kPDfnxdsDjy4nc8M7OTiux/kYyOn2PTAn5G+30EvuxR2Kgx96jDRg/OsfCLFxRu/zyvJMMvTKTBFxm6dZu/QDF996O2c/M1mDlY2ILZF9m6Z4mqxCw+BTi5IcM4fmAiuwOrL/40Y1M/f/6VP9755O7LoEpAtApLFvuAUuuAbYTSpcb7dR8eRaTU1HN1DTbXRMi3sFQM966/5Hd2f1mWO+oFf3hqDkz64jHP5KlIsitSdoXzLMKYq0+gSKJxN4SWSaNEUctPBXc6hOTKN4RCNHolA3iV5qkKzV6fRL5A+ZWEZMq0+h3aPiytJvnMmgp+DGnTJdFVxPAEXAceR0E7ouKqEXrIQbUASfQY1Y1FSDU4UBojpLZSAzZVimql6F4Zq8fVzt3HphQ189+h+Dof7SRt1np8c58L5YX744a9zuKufr3znDVxd6WbgnTN8fMdvOGP2Ue0EyL05zOfu+inP5TdR6hgc2/cou8df55flbRz8wg0szqS585OH2PSHWY6eHyMyLaJfX6DeCKI+a6BeV+OjqYO8of8Cjxe3gyuwfDlNWxNwLZnwhIQdlPEk2H7zVXrUCmU7SFxusuqE6ZHLCILPz71WHkaZCqAWJeSWbzjlKR7OnjrNzRaFYRk9KyF1BPSiv5nqOl0nMuvR6FVopUXicw5OLo/XMWlv7mWumaSEippVCE82cHN5PMtm5Z3jrNyiolRFBn/RIn6uQW6/Tve980zFIhhLEo0+P2ZFMiE+4QdY24ZAp9dGLUr0bszTslVMV6b9SswH8WURO+LzaFZQwox7uIqHp7uIQZvp8/3Ml+IEh6sIAvRmSnzovmd4YP9LPBPuYs6Ncc3oHLpqU2kHyD45yPDNc3xk7/Ps7Zll6pEN1AZEtLLHi6FBvrWyhW9M7EfY2UA7bTDyaB6tbjBzn8TFD3+TF1pp/vkf3ozginzmvp/Qo5WRJHhP8jXOB7vJdwyKuQidQoAXpH4cT2RDV56FTph6RqDrqImeb9Nzb46Go+Mh4CEQEE1EYEyt+4WP5/DM6mZc3cOWQGr7LpJWxDdHSh33XdnsoC8/jF/xMLIexU0SUlsgcaZK8OQChA2ckR7am7tpJyQaXb6pkpqTcHq76Ixl0GsewekKRtakMRSk1SWhV1wSr+doDIXQai6xCZNOTKbR72GGRBzd55lcxZfj23EHPWISUkyiSoukUsf2JFTRoeWq6KJFxTVIyzUUwWbSzLCQTeLJvgmWWvUNihp9Hk7QQ634BTOuXzQGl11iVx2soEijVyI2ZRK8mINgAAI6le1J8EQcSUItSShNCTEUwo0EETs2blgHUUTu+JtRpeWhV1xKYxKBVQ9tbVPcTvkHOR4ICP/p7GtkGmyM5dZUC3Vmf9aH1PFQKh3suIEgSHSiIq4qILX9CfPArYusixWYVw3eNnaWeKqOJ4hcKmbYOzLD0YVBHE+kFYbmSoiypPKtizexuiPgOyCfM5ifzPDBO15kqtlFUezwq2O70GdV2imBiqyQn0ryK6mb5WoE05SRAh5fePUeXlldx4bePK9+eR9fDG7i2W1PsilxgV+d3ItpKeiJNgHF4ubIZZ7Pb8SdDmIUJJywBqeuULyrD0Hwh0loLrYg8mf9Z//z7jjajvqDJDtCPhdFVF12DCxQMQO88toW6gdTNNY5KF0t3Eth2kfjCNdVqGpxur5QI/nEHKIRwLluM876PsobVBq9Lvf2nuKX566l0xOnubufSFVDTHcRO1fHDRosvAnaUY3Rh3JUx0JUN9kMP2Hj1XVGb5hnZDhLPS7gXA3iqlBExUVgU/8KS+0wrurxprEzSIKHIZpYyHQ8hUvlbjqOjCK6pMN16rqIOBVANP0BqdLwaHWJLN4TpO8t81xal8TzZBKXTJZvlrACEn0/sMk8U2DmUxqmLND7dA3p1ASCrpO7vYfIMZnJSISLr44ityByZA65YVPdHGf+nhDtFHQfFIheEaiMClS22VgBCbnlZ9TKTX8o1XW2g+CKNHv8uze4DAP7lklqTfJmmFEjh+n5zsSuJ64ZJYkMKxU0QaCIzPHKIHZLQTB95tOKeHSSLnbU50VdzVcDOLqA0vAILfpMu9wGpeWiL9URmm2kSAR7tI9WWmFOC2EWdfSciB5IoAgKXqOBjERzOEIn4j9/XWeauLpMbch3ttXK0FkzQpRMAbXmc5NOQMAK+QYl27uXaDkqEaWNvcbUyqJLRqnScDW2aB0WbYmmoHM8P4Ra9xs2ue1hB30vi/IG3w+h3ifgyhJ60aWyXkRuCyQvOiRfzbK6N4SASjBn4kVCiLZDcbvO9FwGM+mS/ImKtbEf9dws7vQ8wbpEdn+ClTtdIldEhh5a8N18f8fGdSVil6HZB52ob0jYdbqD1BFxVREn6Ht3BPcVaTsySb1Jx/NTFbpkXxllejKS4FF1AySkOmHRYdaOczw/AI6Aq3kEliTaaY9Ol4e1rk1gUsVT/PdVrQKi35S6ij+Ys4IisRNZhGwBQdMo3NyPHRCopwS8pQByU0QKRnFDAZSFAoIewJNFHF2kPCoRmvfPgMIOgeR5m2DWpTos0hxwCM6Lvh+CJOAJ/mDD1V3iXXXqjs6wUWT22X5czS+aRddfZIRGq4yG82iSzS8mt5MO1xmP5Dib78PVJHb1z/Kdpes5Nj+IfTROK+ERNjpcyHbz2xM7uPO6M7xj9BiHHt1D9kqK0jaX+kaHyFiJ5y5tJRDqMNBXJLdVxJIEhjZmWYnobNiwzOEXt9A5EsfYW4A9TSYX0sS7a3RyQcSOiDsZ5N27X8GTJd7Yd4GgbnFxqYcZutgYyXLm3Ah9z9VppzUky6ORUfEcP9pD6qwNkkIurWKAldU43mCbe28+yssvbuOjdzzHyUiKnx/fh1YUmX52mC/N7uVd973EPW85zBNbuuAfFV57z/d55Gd7ebl7E/2DBZYjGpvePIX+wSlmv5xCVRzC15SpP9nD/nvP8JMbfsCjv7iR3B9nMb/XZP2BGq+t28KWoUWc984w+U2DlY8nGX3QZuDeJRZWE3zizqd5dXYD8QsCzQzcuO4qL18YQ8tJtHr8cyE6afvolSCiNP3PlFo2KeySQPG4qe8Ev1zewd7ueYaCRS4VMrQchVLb4PruGV6a2kC+EfKbp7LGcjlGeyrCZ/f9lO8+eRen1TSHrCSLlRieJyCWFSobJJQmPHffD3jP5d/jjwcO8dF1B3m0tgOnptJ8rJtOUuAz7/4Rc2YXpx/chrmjSe/6As1v9XFM6ybVVeXGnikIeRRnEgBMKF3wahCp4yJZ/tC9sMO/v/0hoO8o3tREMsE61yenGRnOQcTlxZObmVjpxpVF6qJCuK/G+994kAfe9VumbrOYeXaARq/Ezb93gv/45j08/m6LxRtHWX1LF7ETKv2fP4w8X2D+/SM4bYWvrlzDvx3ehxPwSDx6AWYW6TrV4vLXt/Lgvz7Ojyeu44l/2onzpQIf+8KLDPYXOF3o43PDv+T71g5sW6XnNQfLkFgIBugKN1Akl9ZsGHN7C2oKesEje+yZ/z4M6v8XK6NKNvIaJ7Zk/9caeEguEdNaSKKHYAkIQZtoqIVpyqhlP2fLWPHW8rwEmhkJwYXolE3qSIn2SBJx+0bMHeuxeuI+I2d4jEby2HGfaWj0aLjD3Xg7x0FViJ+tkD7eQi/amF0GRsEhNuGili2UqocXcBBDFu0e2w/OFn13UUFzWCmHWZlO4jgiiuxbMouWSzup+hmoAf9ClHSbcjvAR9e9RMeRyV9IIQgemVCNHfEFxvqzGDesInWg8nw387UYW/uWWbd9kQ//08cpPtpPbdjl6fd9keVahF8Vt1GsBNl/wwW6e0vs0hfYm5yl2DIY/eGf8v5DH2Tv0Cx3f/4FSnstjr11HY986Y286caTlHeZuE93YWQ9Uv9jhkPLI3x67q387aW3E4i0WTe6gjfQ5lN7D4DgYTx+hFbSN2HJmWGWTT8M2PIkKk6AlOQSFmySUh27LdMZ7GCHfdjbZwXBmQiReThA329EymM+W+iJAqmTdSZ+P8j8nRrxC3V6vnoEt1pD2LMV6+ZtgB+9gecXLc31Carv2Qfbx+h9eomxBwsAXPmQTvbGOBs+d54rZwcITcsM/GiK2BXfhbM+6LG6TUayPNSKh1KU6SRcPjzwErelrxBRWyh1m8BSA9H0reytsIRa9Zm4SLjlZzQu66Q25xkfW6QxFcW0JRbKUf7p9N2M/OpDTORSGAM1egMVJk4PkM9Guev9h7knc47vze7nsY+/EVsTMGMeZkSgsxTEUC2ErEZ9IUIz43H578Ms3SwQuSKz7at/xoBe4tDXvknzpjpf/of3oosW4/oy7331I1xayviRLpun2X7NDBNnBrhysZ9ix0Ba1PnH237O3N1h2hkDQzT/kxnTBRvLkzE9iY7nUnZtUlKDwUQJpy7/pwzPDTl4ui9dsnUBpekhdTyMrP91o1ui7+UWXa+vYsV18nevp3xNEsHzaMclfyMYtehK1bAiAmbIZ4Fa65PY3TEa6+PEX18meaaOaHlUt6cILVnoeT+A3FVYG0j5nLlt+HyxaAkgeFw6O8Cx5QFEwUMXfLdt05OJSU0arobriThr0Kwm2YjJDki+Db+j+8W2J4JS8QcGcsNn1VwFEKA6JOOJkDrdQc036Ax3UdmRwokGfKZN8FkfO+DRiYjU+zTMmIoX1FELLQTPQ2656CWHQM5CrdgYKx5axSEy2ViTMHq0k/7z4Ek+7+PJHkPREsdLg1ytpRAFF8eQsSIyVkJHNB3U8hoHXvEbWqXlMV+KcT7fjesJHFweZbkZ4eDyKJXZKB9Iv8JfbXuW8mIE43iAfTuv8NvdD+I1JcJXZWTNxrgpT2esxaHielxP4Eh1HZ7qolbBHOqwY90cruFiuhLd4RpuVcF0Je7ZfRoj1OEvB5+hcF+Td4ydAuBSp4fEvhVcwyFXDjFiFGi4Gs22yvofF6n1KczerSAost+k2wJCwvQ5xf9fBNk7QzlOVwfIN4IIisuGdJ69sRmmCwk/uiLnEDsjk4g0EVyB6qiL8XiUvmcrtDakuPKZLdibh5ErHSrrVTpx2Ny9wg26n9trG2DkXToDMZZvS1G8NkX8TIlNfz9N38EGxb0p5CYMPgWBSyvUB32Ja7YVpmUq/nADkGWXob4C504Nkzos4YVtmq7KqhWmaIfouDKGaBJQLETBQxA8ZMGhORvBinjYhuc3hq4vq5eaIrPPDhO6quCJsHK9Ru/LLl3nbLQv5Jj/qoHxbIjNn83jnL9M43e2Y2eiRKZNn/FtiwTy/uf6yl+uo7EpRWDVYv3P6mhFgdBHFymOS6z/7iJq1h8UR2Zceg7V6URFGr0CuV06SssjuAjBxbVImuHHyCgVEmoTy5NpuwquJ6Ktxcs0XA0JAV2QSEp1dNVCDNgIri/DdDQPT/HQcn4DEp71MKPCf/Ggio9Y6EUHrdhB8Dyc0T7s4QxmwkcPBNWPDnM0aPTr1K/pxds6ihfQCE3Xicz4PFk7rWFk/a2jUXAwcg5KHayI42eEpgRcCcTOWoSV4HG+3I3pSgSlDjuCczhrJdS8maTtKRSdDhGxTdtV/DNDhka/i2X4clfBAX1VJDwFw0+2sUKwfIOMVhLQiy6WIVLe000gLxBe6OBkcyzfEKQ+HPK3hSWBZkdFX/K3+tW7NiFtGcfqidHz0wkGDoiUxwUW3jGMcbXI4KMies53OI2fh3baxTY8cnu0/3yGtFWR+gC0TIX10QK/Ez/LaifENYE5P3PZCVBxDJqutnZPODQ9gWuMWYS1uDe56p/LruJnUxunA4QWPJSq/3/lcYhfaVMdlCltgmDWIf3iMlZPjNV7xkASURt+LJVnCzgJC8GBVkqhvEHHjYfWcktdlIZDfMJBq7rIHY/gnIDgeJghieAioHi+V8GaHFy0/N8p1FPn2KlRmrbKUjuGbfhss9z242bUiofj+jFkEi43DU6yIZDjl1Pb2Ns/y0hglUGtyECwjNWWaQ5buI7IRCGFORNC6m7ywtQGvvHA2wgvOLR2NcmMroIlUFyMsXNslo9ufIWbU1cJqBaaYTG9kEKb0qh0dAKby5S3W9jPd9F5Ko2kutzRf4WuEwLJUwJb7rzC1XY3k/Uuvjt5Pa+ujLBpeJmk3uBv0i8THKjhnTyP3HRRz85ipm08ycOO2yD6qjHaImguu7dMce/G0xz4+X68wRbf+fldbM0sEx2qEJ+w2f0XJ1GrAo8/dAv3/9W7+OCVaaJamzf27sANBzn9zq/RtBRuG7/C0SNjXL5/F9LJMIrkkK2FKO8yee7EFt72Fx/n/v91P/Of3M/EQ7uY3NsmOC9yeGWI9Ud1pEgIt6Ty4CP/xsm5Adygw4MT+9HHK+z8yBkE3eFiuZvArMrAL5aIrCv7meCS794rt2zfCKvt4Gr/BTe6nkh3uMbLs+t4fXUIxxFJh+v0RysstaJ8aNshzJyBl9foGyoQiLQRbXihthlrqEOpFOL2+CVCwTauLWJvq2MPtWn0giJIpAJ1fpbdw2PlvciKw5t2nyHwvmUCWYG/OfQOHE+gsNvBdUXmlhPYmoBSllgsRXl+YYyQ0sFLmIgJk5mrGUrjMggC0osncBUBpeIPrFzFHwYKjoBpylQsHUM0eWp6CxfOD/LZOx7jTbvP4MkgtCUcV+R8vZeRJz7CL2e3MXe3SGxvjk+mykkAACAASURBVEM/2EWz1+PJxeMMja2w4Xs2PY9eQsqkmfvr3SQuOSTPer5SrgOhGZHFj+1m8sv78PrSjH+zyd+MXMfQwCrf+c7XufilDTw8PkDd0XhT3wU++Dd/iVPUCO1dJf+HTRqjFvLpEHNXMuROZEic85i49T9or+/Qif83i5n5/P1f+vSmt29AlXzLdheRUWOFoTVCNiUpvNJOcj7bg2NLdGVqDEVL5E52o1QFPEXAWHVxVRHRhO7XauhlaPQoqC0Bdbnql6OCQCetUxuUyNywzLXxWTpBieVqDKkpECjYKLkqCAKeoVFdF0B0wbhaRC2bKG2QGiZ6HWxBxxtpoxg25NcOe0Egtr7MYLxMMNYmqJlkixFiJwQ8WUTPt5FMf3Ni5F1qcY2Kq3Gm1UuxFmTduizD0RKK5JDRapiezOXJXsxuB0cQMQMeiwtJKqbOuQ9+my9625CiJo89dhuRjWUu59K4rsgfjBzhUqOHh77/Jn5611NcRqMdE8jEapxZ6CP79VGqAyKvf+VH3HfrQf7PiXsQRI+T7/93Mtde5fun95P6YYCJUJyOKJKINFguxNDPGrwkDcKCQUDvpbRJQq3DLTedpulqDOkFTE/2N3BalpAoYGNzzB6m2gjg2RK4AlbcRamKDD/VQDszy+qNKSTTL8Sj0w6S5RGeAbUiYiw2WPyjDUSXBBrrIphRmXZKpD1sogQs5EUNVxNRWh5avoXVFWLxzhiJKxbpIxbRE1lau4bRi36MR3SyA5pGeaOI190hcl7GDvjysXbGxTNcrgopyrbBscMbCS4LNHt11Ibrm13VHAQEqht9CbeiOQyvz7EzuYCLyEIngu1IKIqD9HqUdT+ukd+nMtad46Wz43i6i7yqcD7Xy5ErG6g2da79/fNMZHvQt5cRBtvIFw20kTotWSJwRSN2XZ5GLYBUlTEj8J77DvK9wzfx4+9eS1NVqe/pcPSnu3jxwjZu2H+R6akevr3vP2iKOk8f2YExUEc0bP50/UFePreFC49uJrTsoj95lNSf+BeyIjrIa8CVKjoMKCUCgkDFlThv9jE7n0YtSZhxFy3dwm7LRC+LWCG/QVWaHmZYJLxoE1h1aaUUauuChK9W0aoeWtmi3aVj6yKlrR6JniqOK1A1ZKSajFb1COTbiC0Lue1S2pmg2aOhVVyCM1VfHpvRCE5VUSwZR5XoJP0IAcEBueMXg2N75xgfXGI4UiIgWQQlk6jUJCY1aXoaiuBnhSakBmGxTc6NstCJ0yoaqGUR2/CwEg5KRSQ66Zt6qHW/kHc0gdhkh9BcG1eT6UQl1KaH1HZQ6g5mUqOdkPzXN1ak3tFwJZ+F0io+S+IaClrRRLA9XEVCdDyUmokoSNiGiFqxcHTVj5sJ+wWpq/iFbbvPYe/QDGmtBgLkzAj1ZxNIbRfBdrGDCgLQTsq0U77bcScq0LE07OUAXlPhtq0XOJ/vobQU5fNv+Cmfn3wTzy+OE4q1cJYDzAcMvvPSLaQ3rVJpGezcMsNsIYGq2YzH8yw1YtyZusjHxp9hcihK7Zlu5usJBFcg3VPmptQkFV1jrhxn+rl1tOMep80BhAMJlp/oY9OdrzOu5qhIBlcaKXb0L3Ku1MsfpI9wyethpjOA1IHYVY/m9h5aO/0CQSyqCLZIB5HuzAxbNX+oIgkiX5zdTT4XZcvIEhsjWfYGpzj4o+vBkrBCIkrdIx/UCc2KpE475K4TaKUDdD03S3RR82Wa+yK+Ac/OBl/f8gifzd7Apzb+kkdKu9AKElrZITLRwFhoUN6eYPoDMVpdOj2/XUVrSSzcoaCZIeKXbeZaKca3zbFQifvZpm0B05MIRdvUV4PYhgi2yB3j5wisOYqmlSo2ElXHoGbphBSToGJSkDTckIM2raLU/Oa0PgKZYy7Jc21Wd8rIbQG94NGJ+c7SykMe0kwUTxSYfWeIoNiHqwpYIZnAUpPC9iDtjR3UFQW55TvTSxaYYYn5N6oMH6gjP2IRyouUtyUIz3mEljzCcy3qgwadqEBjzMRYlBBNaKd89/PGAJyLppnvJHnx6gZ2dM8Tltp4CKiCvz0VBY/1yioBQcajwQwpppdTKCUJxwAnbiPWJVKn1raXii+3FVyB8JKNkTUx8jbthIJWMjG7AihVk3YqQCspU10HmbFVIpEWlVoIteZncCqVDsgS7Z4griqiVR2MqyW/4Wl5eJKEMVtFFFQafSJOwEOu+5s+ROhkbHp7S2yIrgIC54q9VAiSUmts0LOMqHlKTpAtapUNqsYVW+FIux9TkNdMQXzFiAAMPl3BCarUhhT0ov86AwUPreYSWLVwdBFP8LOfI3Wd0IqLp0rUhiQa/S5GskW7Gie02KHRraKXbFxForw3g9zxMHKQ+u0Cdk8MKyoj2hB76gLWSIpWWmDkunlqU1GCWZd2QsQOe0R2FIgbLbbHlnho+noqpk6BCOPGCiNqjj36HJLo0CXVuVaXKbsmNnCZHpqSjHpRx4x7ON0mQkti+Ikaqzt1tJKvEBEtAckW0Asu6WNNyqM6sqfhKSKRSyWaG7popmVaaYHE1gKj3XlyywkcTSAybyNIEtpsCTMdxAz70TB6wULPtqgP60SmWkiOf1ZXNnvIVRlP8TftogmdlMs16+e5bmQSQYAPpF/i0Pe30UkotGP+2WuFBBKbi2wKLzPRyCAJHgfmtmLbEttSy7wleorXm+t4dnojTllDcARcR6Q7XaFcDOM4IrtH58ilFKxSAKGiUDEDCCEbI9bi3oEzfDwxw4eP3sMHNx6iTJB8NYRnSTRKBkwbuIrAu+87iDDeYvFihnkpzOD+JWobHKZWUtREnblynEopRE+ywuRKCll1+enqdgoTSbRwH/kdMo0/kfDmDD+GTfAZV8ETUEsidtqiL1HmuZNbCayIJLYWqAckjIDJcLTE1WGDyncG0UsudlBEtOGp4nay9TDtD8YoR+J86+T17L1mgjP3X0OzBzzV5Vvv+DY/fO42Lt79PQ6Y/TSQqSRUDpy8Fk+C8S+v8PlTz3JAH6dUCJF7boDgi1f5u68f5H1H/pDoCwYj310k/J42+XKYq7PdqMsKSnebz93+KAcWbuaT9/6clwID6Cc15IaNp/gDIjvoDxtaSRUr6DGjdrFQjRIKmBTrBpLsEtY7fG7kcf71ld/hTKObSFcDbzJI9+gq5VYAN+pQcEO8e8Mxjl/cQCsuMX26n+RQheZsBDXRwW4oFLpbvC95mF9mdxBSTSZX0kwWu6i3dcT1Tf5o62vMtRLURAWzpfDIzQ9w4Mh1OLqAW1YJ9dXZEFnlSjaDZ4n0PitiRkWMnEP51iFcVaTVvTaY7vj/Cp5/h+wdmuEN4fNcsPoZ7cuyaCZ4aXYUVlVczUMOmTRcjXo+iBC0cVXPZ5YVidFPn+G75+5mxYtSHVapb+siXJSxDZVmRiQ6Y/HMX3+NbxT2kHkV8AQCWQErprF4m861/5yn/nsSBz6bJPVMkYX/fS2VH3az9L+zrL5lkOg1BZ7b8TBquMnJ1zbi6B6ju+YRUx2q1TBfv7iH1GGR9LePMuWe++8j8f3iv/3Lp8fvG/MnrLbKTDXJ98/vZ7TnImGhzHlTQpZcLrR6aJgqqmpT6eh08gZqTaA+7OIqElYIAnmP4jYNrQaRiTpKrkpnKE4nbWBFFZoZicq1HcrZMBcObWClHEUeadBQFYJZCTsWwEoEUEotZFukPKriRA1kE+RyCzsWwJNE34lzSacpqTiaz67YYY+6KtFwVPLzccp1g1i8gXFYxdFEKiMasgnaU0eRJ5Yo3z7A39/1C545uotMf4nlcoTheJHX54bwFJGmo1L3FGxTYmgsS2E1wldvfYQpN8UDn7odU1RxGwq3v+0ERydGMMIdPrX9KT714tvRH4vgKvDgs3sJ7yzzRz2HeCa7GV2z+KN3/pa9I9P87Z+8gwcmbuYtdx1lthXnK+f289pTO3FHWuy99yLuN7sorpPpTZdZnY/TtStHaSkKrkD6/x6h66qL0xVmzx0XMSSTiNRmqpPGQ2BIzbFOCdAvi+yKneLHl65HqfgZSJ7srfFGIkv3pHGCkD5u4soi8fM1GoMG+R3+xWqs2sROlVh+Qwa97GKGRWrD+M6rZZXg/gL2TJDE2RqtgRBqqU38cBZRUkh8eYHZ1jpil2oInkjXKzkufSJN+v8eJVGKU7nBoy2raCVfCqRURaSmxDv3HeZf+45xPqFQeSqJq4nYhi/pzO0TCb4pTz0XIpapcW7/D9kRPcMXL93JfClGKlGjJ1qleCyDo0P5Xpu/2P4i5z+xDfFNdVLf1+l95xx3bLjAusEskxcHyB/soT5uIZ0LYucDHProl4iHSqRiDR6740n+/Vu3oK3I2AFwdY8rh0dInIcj//JNfvjjvWy4bYblfJJ2ykWKWwR/HOKpV67j4Xuf5qHmKN3hGmPJHA+9fiPxsyKJU2Xe/o3nOVq8nc03TSEKHg1Xo2gHOVvr4+dTO3i6uolVSeM35a3M1BJYGnQ6Km7AxamrSA0RqSNiB/EjYNq+hKjeL+FoIonTFYLTNVrDUdpdCo4h04lJlDaB0hARzxgwYSA2JJr9azy5IuPqCq20SmjZJLjYZvWaAHrVn5zryw1q41G/IXN9OW477TNbCNDs94h117i8muHybA9GtMNwoEDHU8jZESxPpuwEeak4xmSnmzo6ticx00xQt1WkkowZ8+Nl1NIa2yKv8a1BfwhWG1CoDWuEFm3C03VcQ6HRp+MpfpFTGRURBLBng/7nqQPNbtBLAlbYdx5EFGh167S6JMyIhNICTxLRCx2Km4PEJttYYYXgos/16kW/QW51e2ztX6RsGczWE4yF8yy90EcrreKpIu2ETH6XgnR9CfFKgJ6vvEr48DzW2CCN9TaBvjo94Ro1W2ddT56XVjdQqIV48/rznDwzSv++RbrCDd624zgvndtE1/oi+UaI3x09haY5tByFrbFl/uPCPvJKzM8+raYI5AWMHUUWJ9KcqvRSzEaxHP88VkMmD2z7AY8aW/n3D32L9/zqz/ns1jP8nyu38OHxQ/z8yLV0Z0rclbjAY9ldRH8gYhw4Ru6+IdInGqxuU5DCFru2TlMUNSIvGZx6YjMfuPs4AKtOg2SoxOu1Ie7svczZah9HKutYUILgiCSvz+KdDtFY52AZApVtLps+N0coJ2IOJsjvDGBFFMy4gL2vRjTU4pEn7yB/sJsf1fbwjn1HOeb2ILYUWhmN1T1B4hMm8QserZSMmTQQXYHMoTqlTQHfJdaQWJhJ04n70lapJRIYrFPIR5BqEpLpxwjdsveML30VHLJWFMeT+ErvCWLBBXoDFf46/TrLis65+X70rIRahdqwgFpb4+dF0efrZ1xWd3uM/ChHdTxM8U8tSsEA6RMmqaMdstcF0EsekZemWHprL11vX6ByJUFz1EQpyARzDkrTReq4ZF6tI87nmPpqErcc8vPtggKBokNud4Dktw8TtiOUxgM+0qL6Eni17qEXYMsNU3xj4CWCyTwuIi6+G7iFxFw7yZlaP5bsEZVWmbaTzJopJotdYEm4AT/7V675eEAn5jv2ihY4AQHREujEZFxNIjTbxFP8/MNmXwA7INLsFukkPTrTIdozYTpdLoIrohc9rIiGJ0vouSai5VFZp9MYCaJ0JAQBtIUK5WuShCcqiK5OJybi6D5u4qq+MsToatJyVWTRZSBUZldkFheRg+VxDlU20EEl7yns0uscbUeZaKfpH1yleTqOaPvmIJ4IelkGEfJ7PGITHtVRgb6nV2n1GLTSCoIHWs1FbnvU1gfxFBkkfGfzuIN0Lkhjf4viHoHUqx5y06KwI0RwxSZ0cpGZd8Uo/a5M7IiAPlshsFBn4Q/Wg+vLbRuXolS3WwQWJLSS55v/TRi8+cZjJOUGb82costocVvkInNWkgutfr45fzMvFcd4rbqezZFzJESHY+0+Xi+NUCiHcC0ZO+JCS0IrinTiGgLQGAQPcc2FWaCwRcaTFRLnG3iKiBlVqI4GkS0PM+JHw5gzQcqXErQT/jBfq4AZkXEiBnLbNwNrJ0RqwwpqQ0KresgtB0eTCEwWiE1qNHr9pITolK9K8kSB9+46xINHb0YOOly1upld6EMvuUQvVAhOVQn+6gzSEzIvXL+F57Y9ztcWdhPRO2zsynJteJqfrF7Li7Mb2JRZQY2alKsG3YNFFqZT/NFNLzPnRpk7NoB+SsdVoLGxg7oqI6U7vHX0HHG5yZ9+8b3YtsJUMEq2Gma0exU36mAuGjijLd5/7as8fPY6nIczOKpIw1PJ5mI0GhrR4xofecNv+M2l7eCIiLpDY9XgupFpHE+idjJJ5tfzhA9cIHY8QvZOHT0nEdubp70cZPjvDhOrBkk9toT1VIjgHza47trLTFeSNBsaTVfh9wZO8PLJrTS7Be56/xE6/wgP/+hb9K1f4eVLm0k/qRIoeKR+b4Gp746Tv8HGM1zuv+0HfHl0C/XrB/neE3sIfeI8Ax9z+H/2PMGxH+9AeWORrR9Y4tEt3QQfWeXYN37N1HqbS53rebyxjbEvV/nE/Y9x9ItBLt24nr50GedEFGdzk2PX/oi3Hf19ev72OL8M3UM9KJI4BWZCwQ5ImFEZrWwjmS7RKYviZpl1vXlmCkk+uOEwk60UtitSrAVxgjJLhHBOx4gOV5EOB/n9Nx5kyYkxEC8xX4lxttSLVdJZsYOkBktoskPVUfGWA4Q3lDnz3CYeWd3Fx675LR1PoSgYVKsGb9x0kQtzfSz+YD17br3E1V+MccvtZ/nKk2/j2T//Ig8fvQF7rIV2IMrm66eY7cQxWyq19R6DvzLxZJHQz14nIEcpbtNwekzC6ytYUZdv3fk9vrb1GL8TXuLOw3/IwR0/wZFr/MeF67FyAYTeNm/ZcZpzVwexLkZxAh7v2HGcMwsDRF/TGfjsYQqPj6DeUKMoqfQ/7WIFRXLXaURmXQIFlx9/86tctQ0GMmUeeOdv+cahvUSnTYpbFHpeNal/S2TlzUO88sST/Nvcm5FbUNok0dk2wO9/4FmW/naUh16+gb9+yy95aGI/dtKm7ioIzySIzjk0bmjyyff8jEe2voHKE8/992lQ//n+L3068abdnLgwgme47OpaRAnafDJznqik0y+LPN/IUPMCFDsGQd3EdiSarkIn7mEsSXSdseg6WacyrqNWPaKTLVp9BmgarirSiUuURyWq2yykokJo1pdqyg0R01LxujtYnobcFvwoiZSObUgEsw6uKoAsok7lwAgAoFQ7ZPfpWBmb4KyEWvdo9XioXW0U2WGgt0gbiVo+RHBeIvDE6wQCSabfpmJ8QqH/z13mvAjHqoP81XVP89TpnYwNZrFcmZ5olbja4sb4JBsTOaZ/MQpHQkQvCfxU2ULzRJLEuxb5+m0PU+5Wefr8Ft6y/QwfG3qOR3LXsbjcRW2TjTlk0Q5KFF/p5h37X+G6xDTnW/08ceUacoQ58KGH+bY2zumTo7zyhn/jZ4/cRG29h+NI5J/v44b/dZRf7XmSB/7pNmxFom9TjvahJOEZmP9YN6tvCJI4DmN3zfB6dZj/mTxBRl3hcz98N888vo/GnlV26nlu/PX/QNBdgpMy5uYW4qqKGfPwBIn4FZvSfhPH1TBvrWE1IjR7RAZ/XSZ8fAkvEiS/L0FkzsaM+lxxY8QldkHEyEKjGiR4Rw7hXBi56YAgsHxnitC8ifUzlfqwgYhCvU9BRkOwZAJaksXbQox88iK13d00draJn5CoD4Gxq0jZDfKPj99JNS4ingjSiUnk94DgiHzw7c+wsL9J8leLrLx5EDWe52NH38XtIxNMHR/kI/te4MDxXXRtLlCvGkSOanz2Db/g0k1BHh97li8kt3Br7wTP/usNlB9LIdgS5f0dQhc1jJyHdVONFzvDPLu8kePzQxzykjx370947P6t1AYV1KpA7LYVytUwj35vJ6Mfv8h4OMeZ6SGQobwUodUlct8HX+Lv/vbt1JtBDt/zQ/7hu/cQ2V6iXg/S6gmw+P4CxkKN/j9ukLMiPDO3ieNTw9wwOMn7Bl7jz7oPYQpwT+QsC26SxUaUliODI4Dq+kyM6htSpM50CC77TZUTEOg616Y8FqKyMURoyfKh/4xEcaeL4AiEZ9YefMHP/RNtgeq4g1aQED1QGi6VdSp2SCG0YtPMKIQu5EGWcIIaSt1GQGD5Vg9Phv5nGlTGNcyki617jHXluXPdRap2gD69jCo4vFgcZ6Keoe2pXCxkuCk1iYdA1owwV0vQaqs4no8GeLK/mRUdATPqEZ32kFseSsul2S0Sn7CRWw7tjA746ghbF6kNSlhRj+C8b4gimr5zpV9Yr3FAsrj2MwSUth9xoBdMXE1CqZnYERVBEPAEkU5SoJ30SJ80fWOlnVV6wzVk0cXxRDJajbkX+qmsk1ndCb3/8hpatIfVtE5mb5a5nRtp7hmkNmajREyGu4rYnshCOUaxabAuXmBuLoUThGCyRV+wwqmpQY5PjpAaLHFLz1WynQglO4goeOyLTXNgfhv1fBAj1uFKIc1bd51kMhKishIm1ldF02z0cId2U0OPtbFnQ5zU+xAkj//ZfZIHc7tZNGB/1ySHSqNE/8rk139zgNOdADkvykR2kKAUZ+UmkeQDJ2i8L4lxKETttSQPv/ffOTWU4p1veYlBJYshqhiiylnTYNFJkNLqIAhElA5NVWLThgVWHx4icaFO1/cusnpfmt5nJSpb4yzfqhG/YNLKKLSTApvuvsJ4Is+VQyNrUkW/CTxb6eYNuy5wpZpBtASCKy6F7QqlTRJy04/vqIxKxJ+ZpLUhhVp3kU0IvD3HJ7b8ltMHtgICt+y7wMyFPuyEhdNlYWYc1qdXCUkdPhDNcqNR5KHCJj7zpTdz/o+bPLn/Rh4pbuHM6xuQUm2C5xSq6/xi3Qr5TF8nKuLeWKXUpaAWJcrbQzR2thn50AzJl/MIRpD87jDJSxaBZ84w+7GteNdWqB1KE8gKyCWZ2riLsSQiN/zBSW5PkFBJJvl4idXrY4iWQCstoJdAaYK1uZ9Wt8bgj+bI3hlB31kieFijNiDi3VEmE6zz9995KwcZYmdmnoIV5vXSCA1Xp+FoXC5mKLgh9kUmCQgWvy5so9g2cNoynrZmmesJePibG6UBxqrrq5+SIsGsg7HcxtVlnIBMJy7jqALVEREr4qFWRQI5P9JE7Pj51q4oo9Y9BMG/111NwshbIIg4ARG55SJaDp6uIAgSrZSy9lwLhJY8OnEBs9diIFVCEV3mqzEQBVxBxEFCFDxuj1/ikdk9vPqz3ZwakgnLbV55ZTuludiaG6eH6PlZzYLjN/VyXaTdJSLYAivvEBEqKsnzLT+66vIq9dEwxqrjb6e7JWxD4P+l7j2D7TrLu+/fvfrafe/Tm86RdNRlNUuWbbnhgnGhOqGHamIgCQkheSBDeOiEGMwYQxwwxoAxsSnGGFcZGxvZ6laxZNUjnSOdXnavq6/3w1J4Pr7Pl3fmjWY0o9GnU9a+13Vd9//6/VJno2dAlDUCV6HRp5B59BhSZydWTiHIJskd80geUcivN5E0A61gR3ucrRCEoLgxIHtIITnpUR2K9GyN/oArh0/y5Ow6np1Zw4SVo0yC0WYHlyRHmfGyWL7KVDnNvJKh11igEpgcri6ilE8SJHwIBCLl4sVD4uMS5XU+3bsE9X5B30tVpq8yGHq6jjnTwuqKIXkhvhmduaXlMtXlPulTEbhQ8kCvRpoxq01CaURNeyiBk5JJTjgEqkxxtUznrlI0IEyqNBclqPeqNC5t4SuCxJiElxC0ljtc3Hue82GWJakCDU/D2Z4hvucshWv6mbsySeOSAR564Ccsb5/hP/Ob+NKiJ3ho4hLGSzkaisGKxBy5RJOmp7E4WaT66z6csTjClWn1hsy+2ovX69B2cZ7BddPMj3SQXF3ihxsf4iOZOT740PtoLA6QB5o0LY3hzgINV8dUXUqSRuAojHtpVnXPcekNxxjdMcjt736OE39cTrC0heeqvGQtQZ3QOfOuH/KfD1xNIEl8YNMOfvvUFXTvcwnScc7+8yJiBRNXV+n7910Yvyiy72dP8lefmeX4DRKTe1bw7PZfcu/d13LdNQc5/LMNZLYUqLcMxr02Pr/lCcbe0mBsfitBwuTDbz/A333pIwhP4i8+/QIP3PYcD62P4XzDIJ1p8vTWH/L5xZs4c/elpNcVsBfi1LYNUD2Q467r9/A1ZxMtV6H2s34uf2icV67axNPXaDz4hQM89o3F3PJPrzL9QJxduy/lzGd6GLvlfh7ZaDD33l7SHTW+/eLVKFmb6js7ee81O7E+k8NPaHgJmUAVGAWX4iqDuXd41FMxQgk+vuEFTli9KErIaKWNtniTXLyJj8REOctt2/axc2SYZifM/tti5i6WUZSQufkMH79oB3vmFpNpq1MsJwkE9LRVKbkGshZgZwOoq+w8vprHL3uKn+eXo5suZ8ttXLF4lPoqn1eOrsRfanFN7wivzg5yMt7GmJREO2PiX1Xl0ZXP891nriTI+sgllbbXbLy4SvnaQVq9OqEsWLtljO1rHuPuE1t58cmt/O4vXR66q5uev4N/ffl6ToguulJ17ANZMquLHDy0DJH0wJLpXjPPFwae5qnqGsoJhcJb+0imW6TeXSD3m0nGPzqA0hR07Xcw8jbfuv8HfGX6Jn7w2C3sLA/xk/IKnnnn93jygfW0ugzcpMzEB3QW3z/LQ1/Pcv7D3Qw+PMX8uzXkvMouaxG1fg3pjUVevCRO/p09HLvpP7j/91cTf+Mcs4k4viMz/qYm7TM5Rqdf+r9qUEUY/t8jf/+/+pNc0R2+4f6/oMus0vB0TNllppXiyeXPAHDabfC+ox9maTaP48tM19PR1G7WIDYj0XnARi1ZhLpMq9uI8O5hRIWNz7nUe1SctKCy0UYqqWRORruLkgeSH2JlI1Jvcb1P+345ApcUPTxT7OEmiwAAIABJREFUwtcl1JqPOdOAIECqR9GysNFk5rZhmn0huU3z5I92IreigsU3wW7zWX3ROGOFHI6tkvmDiVn0ka0AY9cpZj94EXY22lMbuGSK2T/20+r1ufXSg/xpcphaxSRsKWh5GafTwxxXsbp92vdLNHsEjcFouSnW2cAeTZFaUaQ0l8KYUFFaESxKcgR2LkAEkDgvUdvaIvQFyrSOtqKKNZZEuIKg30I9axJoIV+77b+466vv5bJ/2M/L923Bygne9Bd7+NfOV8jKMa5/30eQXzyIffMWEGCer3H6oxluvOIwq2IzSCLgnNXOMnOOK80zLAQxPvji7WQ7atTqJsGsQaiGaMVoXyA+HdJ2pEmoSdT6deyshFYJLxRhIWbeI79eI5SgudImdVBHckOUCLqMr0UqgMoySJ0l+poKkby53iPTGIC+Fx3kCxjy9t0LuB0JtHMLnPqHAfyUjzGpMvh0FXmhwvd3PMz1O/6Oa5efpubpFD67COmVw1Tfe2n0NXRK9P2xzNg70tgDDkIOSaRa3LH8Fe47fQVvGjzBs+dXUauYfP6Sp7n3zFVUj7fhpSPnwA+v/wkP5y/l6swpvvLc28kMlVmULnOm0M6mngnqrs6RyT4CN8KTf2jNHu4/tI2PbNzFg0++getvOMT2VzZEk/i+OsHxJGJVnXS8RctR6X7bCWZ+twrtyQyvfuU/Wfz07egpm8T2BG0/3s326cM829T55/s+iloNecPH9rIiNosdqDQDjZpv0PJVtibPskWfYtqPcfuBD+I6Ud7er6koFZlQCckeE6TOOwg/RLY8nIz+531sz5RQGgF2ViYUUF0iReTGkQDPiByGihXiawLJD2l0Rzdu7Udc3ISMVonAB25cIj5rI7U8QllC8gLkfJXa+i5cU2Lu8hC1KuGZIbIj0PMCqyPkiqtfp+bqdBp1JELWJSZoBhpJyeKs1ckivcBKfYanKuv5zb4toPtgyyCFCDsCSyRHJWILAVol2nPx4tIF7U0EqklMezgJGV8XlFdEO7Ftr/2f/QqtFmBlo4a01Rn9f+aM/2e9gZWRkZ0Qc8FFBCHaXI3mUIb4iTlm3tSHFxPUlnukTikojZDKihBzSZV6Kca/XPY0dqDyzGWDnPvUWpLjIWbBo96r0PlKnjNfNAkmY3QcgPTHJliZnmP76CrevfwA7WqNH5+5nLcOHmW8lePQfB9NS6MnW2U4lefS1Fl+Nb2Z6WqKty4+St3XScg2vziwlX+9/Ekem9tIyTJxfZm0YfG2nsPsLi9l18EVrF47ju0r2J7CbCmJrnv0pqrUXY0tHeP8/tg6Rq9/gOGXPsSZa37K6l3vx55IECQ9ul9QWNgMcn+Tjl+bpE6UOfdlFc+T8D0ZWQ5gLMYn3/oM/5A9B8Aey+dL596CJEJu6TrKM/NrOV/Kwq4MSgu6dleQ6jZ2f5rqoEb7qyUaS1IQQmVIiSieSwPSQ2V4LodaD5HdaCBRHpZJTAYULhJoK6v4R9KkRyKfteyEeIYgPuMRGy0RpEyafSaJY3kaK9qZ3RrdlF52yxGmmmlsX+H8VDvLPnSAke9vJdQC3rNlL7/Zvo2/uHEn62ITzHppupUKXz5yK7lkgzd0j/DK/FKmDvdAGO3SOT0u6pyKHwvJDRcRv2lDsULstMBJRnFwrQKN/pCB5x1mL9VpO+4x8UYin6gnUBvRXqXaDGl2CXwzJJAhMRlBubRqSKszgp4lx6JhivBCep6dorCtl8yvDjLywBoCS0FYEst+3oR9R5Ff7OXpFU/z5YXVXJ04yTPVdZytt3NF7gyGcCl6CWKyTRBKvDN1hGlf5wP7P4KiBEhSQK0UA18g1RTMWYnYXEjmVPRucBMKVjZ6Z4gA1GaAr0YkXqstghglz4HkRyApwmjI4JnQ7BHoBUjM+IgAlGaAnZZxY4LMmeh9LvwAdbZCqMi0FmeZvVTD6nPR5hQSE9Etav3yJku68qzKzEbP3twQa3KzrElMM2Vn6NRqjLba+UzX84y4bfztcx8gd1iGNxeonmhDbgnMhehscFIweO8x7IuHKa7SI11W5oKPtRXB+/IXKShNqA37mNMyhKCXoltF4Ye4yWjH0skGLHm0xcKmONmTNla7SnmZRMchD18XWDmJrqfP01rTi1p1mLghgZsIiU8KuvbWQBKMvN9k84YzxBWHY4VuhtJFNqQmCRAs0vK81ljElJXh6/2/56jTzeXGHKOuwXu2f4Jcf5lyJXLaBnUVuSGh5yX0Ukj3jgLNoTROUsYzBG5SQACZUZdan3JBrRUxQbr2BzQ7JbRqGEHvlGg/tDIsEZ8IiRV8WjmZ2Hzk8m30asSnHXxTJpQh9sxr+JesRqm0GPlgBmNxDfX5NJU1PlJL0LMrZObyqPBfmljgyae3IrmC7n0ublwifXCW4//SyRevepyXy8vZOz1IwrCxXYU1HbMU7RhuIDN2qI9ACyO6eNzDGNPRKqDWIze2m4RWV0AQ91mzYpKr20/z40dvJFTCiJMQgr3EQpnSMVeXcVwFWQ7wD6exFtvgSZjnVNxUiDkvSEwGpO6YoPrDAT73tQf5X4duw2mpKJpPOtli/6Zfsf7OT9J9967oWd68llASbP/dz1n+4CfwjZDkqETvT1/n6ZM7WH3vJ1E3l6hNpQBYvmqSU2d7EY7EzZcc5pmdG1Hq0Vmy/AfTTLy9D4D6Ep/kGZnW1gbduSoTU20MD87h3N3D3F+1MHckafSGBCrEp6Nn08iHtL93nOKDi7DeVibYkyUxEaB9YI7pQpqgpHPJhhFK24r8zchpfnDppYz+/QoCFd54/UG+37eXm5ZciljUh7Uow8w2HaURqYRyx0PUZoCTkKIzMCXh61BZHvKeN+zkqfNraBzP0rFxjtmTndy07RBl12TXqyvY+ba7uPnQ7VTOp5EtCSMvqC93wBd09JcpnmzDz3gIJaCtrU7hfBa9s4nd0AhbMlpBxs0E6AsyH/vLZ/nezutYPjzDyPE+SLtsGJrgTLGd2lyCi1ZOMFlJU5pKI9dl/LjPey7bw97CEFvbzvHIrstY9jd7ASh87DI6dywwf0UHbT/ezch/bEW4gve/4WV+/tKVdO6DZ775Hb6xsI2pVoYv9D3FnbM3MmQWCBA8enYDX177BN8+ewO1l7porrEwTxh0XzfJ/PZ+uLxMuDdDIIO9skVY1vjDW+7im7M3MtVMc2KkD/O8ChurrO6a5a97/sTfPXI7a646w4kXliE58KH3befBka2o29PR2ZsKyb0eQevSeyZ5at9TfHT8Cv54eDXLP74PgO3Thxn36lz99D+CCBn/688eCMNw8/9bb/j/ixvU79z7zS9d9q5+EopN09cwZY9rcyfZZETOu0bo8J/Hr2RyIcfCSAc1y0A7p9N5MKBjTxnlzBTB6DiKrKGfL+LnkpSXabS6BQQRsU+2QtSiSu5EgFGJ4jNazUNpBsgepEYtjJKGFxMkplwaPZFOhBBSp+tI52dgoQgdOZzeNCRjuEmV2pKAei1q7pRFDYbWz0C3TTNUKB9tx61rdL6oIIiK9lCRKFzdHekxFJDWVVndPketE+pVkzNjfcgnY2hzClpRYtG149ROZHFyIYnzMuU1Aen1Ba5eNsJd639JV6bO3uYA0p40yVEJJEF9pQOejJcMkWyBn/VJjUjo0wqsbJFdVEGRA/5685/YtHyUveeXRvAiNWTny+upbLU5ne+k//P72f2rJ/jiV97KA69u49sTmylsDbFXDJG/1qXzzgOE83luvnMML5QZb7Wxu7CEAIlrUidJXvBr7rCWUT/YTpDz0KYiV2040GLZN6eI7R4j7OtAqVjEppt4aYPcs6fxettIn6zhtOvEp31KqyUCNSR9SiIzGilSZDvEzkrE5gOsNon6co/B31bw4zrlZQq5Uy6dL+VxOuMY0zVUS1BdlSI22UC4HvPXxll+x376v9bi6EAnxZsNfjpyOe0v6QTftHnsfz3HA9u3EA72gCyRPlmlstLEyeq4cUGAhJKxsVsaxARPrn6MTx28iQc2PciUluPhXdtwp+IEfRaipiLXJX4/tZ7Z13rYdXg1siVhl0zKpsytS47xle4/8l8LGygUk4iqii/D8Vo3khzyocGdfHz9i/zb4+8giIeEMR/tWAytKgiHLCxHQ5IDKn/ZRbg/w8A7zvHetjM8c3XA3u8+x50zW9j09QL33HEDez/jEVM72HnPjzjmmnhIWIFG3k1waeIsaaXFkJonJ7s0Q4nfTW8kPBcjPqKCL5E6B8lz0LYvj2z7qFNFhJBRqzayE1BaYdLojeKHSivaT9WqkD3toJc9pOC/G9QAxQowZ1okphwkP4q+Kc3oBtWNCyQf4uMN5FIdyfZoDSTxszHkVkB5mYqzyKXnJUGjV8Jrc7nuutcYGprjhSOrCX/Vzk037GNQzxMi8EOZ481eFpt5YpJDRm5SD01ePT2MXFFInJcJiRbFzFmJ7j111LqPcb6I4oQgy6iNSOMgO+AZkfImwlULjLwgPuujWCGhJBBEBZbaCqKiSxbo1UiBVe+VUS406cZ8E3W2QpAwcXIaii/R7NYxiyGNXkiMC4qXuaxeM8H0fJZUtslLEyvY/foqkrUM6bMOgSaT+NMp8ld3YjRUWpKJ2hDkTtpMrVMZr+WwRlPU0gpvbjvM0U+s5eSRZYwuNbh18BiBIrHwyCJY1cJC51wtRzGfpCBifLT3FR6a2EqtaTAnpTBkl5lqmoF0hXwjQSDL1Fyd+XNtpLtr3NB1gj/uX4fvyjiOQnUki9xmsyE7xaSb4cn6AA1fZVRWeXzVc/z92lf5dWsIeyxBa6VD5o8mpZWC9/3vF9k9vRRCgd9Q6eisUpMVunI13pSMvLKGaPH9c5cxNd3G3sIQ+WqS7p8aZB/ch722n/gfjyPFTIQk48c15i6NRbqUd8xSrCfQy4LMmRDOmnTuKhEkdXxNoFd84rPRPnzHgSZWK0mgCsxiyPz1LonLi1RrCTp3l8H1otRNuwm6TqtdIVQkNrzlOAdn+5mZyVGuxmnbpVG8cRGyExVS25aMsHTJDHN2imtSJ9lRXcnj0+voSDQwVZd2o0Gb0WD6lT6sZTbpYwrGhgrXb3ydyV39GDsNjEqAXvEIJYn0eZf2fUWUUCN3zMY3FZSWoLhKJraiQuolHbUBTlKgVUOaPQIvHlEjAz1ELwqMcoCdlmg76aBVI0p2bCFAhILmYIrsyTosFCm+pYNlHz7A6v9d41B/N4W397K0a4G7vn4jhXvifP72Yxx24iyOFQhCCStUmbYzxGSXLbExehWHaiDxu9mNtCaTeAsmSk1Gaslo5ShBE5u1UQo1orVxKYrxeQIrKxNKEQFbbUR6kdg8JKcicI7sRmeIEGDmfdSmuLArH6UzqosVhC/InmogV22UYh3J9rGGsqBGv7tGn0L6pISTgdZGC3VlHUkOmZ3MMXZ4gBEyfGLFDlKqxXJ9ltfqiyi4CW7JHaFXrvOn5jL2zw3RtTNgLhdHtgRuW4CTgY6DPp4poUspAj1KcvlGpFqTXciedomdLSEpBvX+KKlizkcrFKmJAKMY0OqSUethpIdZBqVVKn1/sqj362jNgOxxC+N8CasnjtoKaQxncFIy5qzF3E1gTqhY7SGSr1JYr/PuW17mUKGf2QcX8/m3Pcojo5u5susMCcnmeLMPU3a5JnOSaqgTl2x0YbNUDbnv8GV4Zkj6hRh+qBAogu5dIZ17q2hNCXWugnp2ltKlnbQdb1EfUMmMulSWqNHNONGNsrkAyfMWqiWQLvi2ZTfyRJsLIVabhNqIGkDJh0avEgGSpi30yQpaxaW1aRFKw8PujqEXJVa+4RyzYx2IZQ16B4ukLi8yX0rzLxue4Lt/uJnc65HCyMrKxPIeo5/RkbSA834bw8kFjh5cSqyjSa1pcFn3GC+dXk5pOoMxUCe526DjcECjTaXrVZ96v0TnWyZ5w5VHeOPmQ5zVsriyxMxEG6+OLaVzX0hlOErnKJZAnVdw2gLUYzGaSUHyTzEaGy000yWWsogN1fHOx9Fq0fC9sJDCNSXu2baLR759GbU+mZ4nFcorQ+4Z20hY12j/ssepLWvI3X8Ipub5evrtuOmA4Yctdn7vfu5s3sJ3j2/B7vQx98b440e+zU+PbGPz8jHqD/fSdjSg+sskek1DvalA3dZpDGTo+9Yu/vfPn+N76/byiW37+enPLkesaCL2pNF/H8N87jW+8PUXeWnHBtS6IH0upHCxT9e+kLZdM4jnDLbceYTDJxZDKLDaBCtXTDJ9tAc6baQfdjD5gUV8f+tuHvxamr2/eJKn3ipxXNvMIz/ZwOBPi9z7t79l58XtqB8YIblrAjXbh+yCOWdj5B2Kaw30cqSjag4ErO2fYkVmntdaXdTmEkhtNiMLnXRlahRe7+CXYhWV8TTmrIyvR/70oNuhv6+IIgWQ8nCnYwQKNFs6iREVK1RZtHSBaj5BYIasu+gctcM5dsl9bBo+z4npbqS8xtYNZ3h/9272VpfQmkgyV0wz1L9AxdegpNG5X7A30U38oTT7u9vpfVxh8oOLKH6kg77P7ycsFJl/xwD5N/cTmgFaXqH1BZPSRQlaWyy8lEfFM3nh4Bp+VdjAC+ue4M7JLdy/aBef7D/KrU98iIGvtBCKQWxMoXK5hfFwlrajDdJ/8JCEhl6B2pKQWzYd4ZrEGN/5/juYaWQij3y7j+fKFOwYQUzhe5f9goe/eDNaFSrLQkZ/N0zPgw0ai2Jkxnw8U6a6NKTr7r1Mf+Qifpnuo3n1PK/e9xQP37qJoljLzx/dxDN3yLQ9OcWr9z3NV+4q/s+J+N75H3d+aclbV9HyNYSICFym4nJFrAjA1+a3cvLkICGADPEJhcHHi6jNALszhkglUcw41BqIRAyvLU6gSsTnoimXXvFJHS2QnLAxTs8hoyB7oJYtlHwNbaGJPF/CmKxh1iRCVUav+Sh2hCg3iy6iXENIgnChgOpLOF1J3IRE9mSIcBS8OKijBrOqgWF4qKpPoq9OQ5Jp3x0SaPKfb40kN4KmNDsl7EzI7M4+yoFB91AB/0SS5qCHP2gzuHGG0yN9KANN/IaK3RGglWQ4Hqf8VCePHN/GvmMrEGUVrQqtrqjgUCrRZDIwA2LTMkpVprLGRzgyflXDmoojH4hx4MhyXq4PgRKCGqJlbSz9Ati5rtL/WY9v/PRGjFLIHZ99jBOPrsKXFAa2V+h4dJaRr15E/rYerhuKdlBP1HrYlJ3gTdmjtEKdDXqDM26S5xdWwukYXqggBAz/ss7COh3Fz+IPdmJMVnE7EnDgBIac4vz7+imt8ylsk3FMDa0WvcDajkQvLV+PbrzjUxZaPWoEOvbVkC2TZq+J7EOjR6K0SsLqTtJ2qIxotJCLdfxcEmSZhUuzDD5R5/SXhpiZz7Hs5w6pW4t0ZGrkLi7Q/t46X7zvVrQ6uCkZOyWBpkbybwShLAhWNvjXDU/zyvwyNN3nrtGt2E2Ni3qmeGZ6LdKRBNrGMv5ogviyCp2PKVRWwpbLTvPurTt5/6Y/sXnFWU5Z3UhSyL0TlzFbTkXR16RD4Cgouo8Q8OS59UzpWfTuFhctmmRlzyz/cfXPmVhqcur1QVjQses6DjJuu0fZNrj3mW3sefgJlj7ycYb/aQ+//PKrPPTwehbeuhS9FvLwJwKGP2nTCjRCBAnZZsTqpkOt0SbXEQSccrp5+ZmL8U3w4qA0BD276pFvsT2Gm9EhYaLMVwgycdyUjuQLkpM+5oKPVvMx8hbmbAttpoyQZEJVRmn6aCULpWaDJJBnS+gFC6FqaBUH1Yok4mbBQ63YhIaK1HJQSy3QNJycGgHRdnjk12kECnTsk/DXWzQ9nW2DZ7j4mpMkJBs7VKkHJknZwpQ90nJ0/e4jMe60cWr/YmRX0OoNImjEiZD0qIOd00AIvIyJFEa3M25axUlKeMYFVZEH8RkXvRqSOmchQhFBWCoeetlFL9ioNQ+t5hGb8wg0GYgaAV+TMAoeUhBRJIXloLgCu91EdiKCr/AiIIidkphvJPj3bb+hIZt4kszwollaOzIIBFrVI+jIYJQFStOnvFzFyQaUV8hop0w+ed1znDUytB7q5dzKONKbWowtMtBVn9fzvcyUMnRsWeBNXcc51eji7GwnS/sWmC5k2NtYzFwpRV9nGQTkmwkcV0FXfbrjVVq+iib7tPeWMRSPum/y7jV7eLU+gNdSUXuahEiMVDup1E1SMYv2eJM7uv7EVX/8GFamzksH1nL7u59j5p5hkATZUx5n/7HEwi39CCUgdGQaTYOh/jx9ZuXPnuzNP/gH3DYfI+4QjCZoX1wkfX8JZ8syfEPCG+pCK1hIDZsgbqBYUVHqH0wQn4PciQaxMyUSx+YJkzGQZYyih1qyURfq+Akd9dQUiWmHWFVFaQZ07HbxzqRR6wIz7yDVWiDLaGUXNxOBX6w2QeMPbRhHdORLq4hjCarLI/2FXg5x44LLVp6iW60QSoLnSmu5PnscTQ+ZbGboi1e4vf1llppzPLtnC1ZHgKfJNByNiT0DLPrtDLUVScwFj/wGnc6dBex2k4UtSebf6FLcKFFeKuFrMrGZkKZtRMMs+UK8vAGSL1BrgtR4iGdIKBZ4psBJQ2WZRKsrOneNoo/aCvBiEoorKFzXT/t+Qfv9FnvHFrPqX2dYuCLNm5e9xqdv/j3SOxw+9dX3sOWKE8gixAo0vFCmU6vSo1bIyE26ZY/nm0t48dRqtJJMoEcJiMwpSI37eMko4i/JCpLlIrdcQkOluljH16IbTREIYvMOsbmAxHgLpeUTyhJqy0fPt9Cq0dlhTjWIlaLGJpTFn/8KSUZbaCB8H2oN5FABWaLVrRO70BQFhsA4r1KLKVy9bISO9ipdQ0Xqns5gqoQEHKoPsS09gqm4+Mis04v8urieySO92BkFLxZiFCQIoohudv88tWVJYgvR+oJZcLEzCnZW0OyD2mKZ4vo4kiPInfRwkgrpc/4F77hAa4RRs90MSZ6u4JsxEpMCq02hMgxOWqbZoxKfD1HrPnrJQRDVH/NbYiRPy8RnAirrPZrdgti0xLev/xVPlddw8/Wv8o0/vZm/3/wCdd/AkFw8FFab05y1I3BQQrI57vSw3+rk4L6V2IbAzgk6DoGTEvRsn6O2OhfRRzUNuemgezpeTMEzJKqLI3CcQBBb8JAdSI22QJVwMgpKI8CYt1DrPlrNRau6xOb9aNe56tPojUijsVkXueFGICs3+swGcR0rp1JZKmNtb6PVIZCndLzDCQYvnmJZ3xxjdidXLTvJuT8MEigiAtTMeShzBq2YitZucSzfg3rCpOKYvHfLHl6ZH0Z+JkPPKw7rbjvLyXoX5YsC5JaEXhSU1/mULJMjY4O8uns1lUYM9YyBr0HudYlGn4TwIy91qISR79eJYumJMYVmD9BSME/o1HMC+2wqioL7kW9c8gR+POSe1zdTWevzL1c/xctjq/nsTY+z96mN9P/bLpr51YShws7HnuCRRy+hvixNekOBkp/h29ObcLKRa5sOG31K5YXbE+y77zE++5O3UNrgg6/y7e/8iJ13BLR/XCY/0k7uREjjkgEeM1by+Bcu5r/+NmTqg31oLydoDEB6LGDy/f289MomqqsC7PbI3Zk9Iai/v0q40EZ+U4IjhT66dwkqa3z8tI/9WBdqHRLry0hHYrQdd/jBzq1MfK6DrvbzHPpukp2PPcGvv9nH+z6+i0fKG9n18CZ2/vYJHv7xCoKuSNFidWjEJmoIxQAhIvf0Kov7Vj7GZw6+Bb+lsmblJC1fJRazeU//q+wM+xESuNUIdKXWBG46JEx5VKdS1EOVVtUg3V/FqhrgRTvMftan5uiRuUEL6G0rMzvbhqgqTDbTxI8ZKBsrjJ7toZIwGZnpQsrY+L5MYSqDNKcTDrYYvvY85f2dXHvHXuoYGJ8/TlshhaglGP+bHkrv7sIPZCRPYCzIBErI3M0agQxoAW/oO8UXO07wDysPcPfuy7B6Kmw/tYa7T1/Mf+7Yil6UcNpj6NWA/Lua5J6JwHbLPnea2z6wm8Zmn/IqaJ7OcNrN8rO9V2O3ReevVpH+j5f6uM7IuT4eyF9CdRiW3TTGTDmDdHEN68YA/3yc3GtVZF/BM2SKb+rHyUDnPSHbD/yBG0/cSuX+Ab715R/wX5VLqFwzQLaU5uf/LDPK8f9ZDeqqdyzHCWVCIn+oIoXckJhlhwWHGkOcmelCqUd7P9nTIY0Bk0a/RnwmisfJcyXEBR+pYgeYCw56wcYo+2hzdZiZJ5idJ7RtZElBrrYQlkOYL0KjCYGPv5BHQUZpOCj5OsZsA7PgIc0WCBtNhK4jxeNYy7vxTJlAE9gZibZjFnZWi9DKhk9zPImjCmKmQ1uqiTWSJhTgpKSIBNsI8EyJVjdo0yr3fvQH5BMJTk704KkCKeXyhc1P4UoKp6d6COoaekEm6LEJHJlQAScdSandZLSH55sRktrNBITigrtRRDt0SiuCvUh+RBL0Y9FeTXwalKYMnoSvRdO9/v4imukhJ1zGp9u54ppjHHe6mP90moFvjnNeSpL9/hGmPrme/hdt7IRO54oCGaVJv1niTLOTpGqzSp8mKXms1yUe/+BaCptiAPS97KFWHTp+O4FRB6fdpDEQJ/n6HKKznfqyDLItSI8Ikmdl4rMB5oKLuWBHJEZJxotFRbtiBciWR6DL6JMlFF9BSFJ061WGQLlAtbQkgkyM0DRQWn4Up2xAcXWM3h0u+Cql97Vo+2fBLR85xP7CIF4os3nLaeaf78bIu4SajAD0so9vSrQ6BNdfdpR/6RjhV9+6lHM9MVb1zrEw0s7yxTMcePIi3HSI1dCRBposypWZq+Rwezz0uMsfxldxwu3jmck1zE9lmXMSVCpx/KKBmWshSSFuRcdzFfS4g1PTKYQGLU9lrNTGyakeJows440stgmtUEGfV1CLMrnXZGpdEkMbp7l5VAamAAAgAElEQVTne9chb62w6zvPc2PvBp7bt50fvbg5KtaGellxwxiaFOllJBGiCR8fiTalzr7WEr7+wlvxF9koCyrmnKDjNZuFjTEqS1Vi8wFq1UWyfYSInm255aHVXJRG5PxVGg5y00EslBBAaGrIlo9ctxGej1RvIVwfyhWwHeRARqq1UBfqmDNNlJYPtoPwAoJMHBSZ2tIEEDVwjW6VzKhHs0dG3FBk+kAvsd4GHjK67JOSW0gXlB2G5OKGyoUzRqJDqfHN5956gdAL5nwE8UqPeZSH1aiI9y5EPqsWQVyFIFK3GCUvIkeXfdSShVq0oiJaUyKfWdONvm83AEVCma8gN2zQNZRmRBJWmgFK00OpWoSyDIaKCEKcrE6gRpFg2YJmdxSPDrIeL82vQNV93tb7Gsti85x6dAgQBLqM5AX4MRnJCymsl6DDZvjjr1L+dJppL8vcjj5CRfDCLb/icy9fj2x6KDvTDF88iWk65OtxTtW7OJfPkU03sVwVx1NQFB9d8+hM1LE8lflSRKqW5JDBZIl95xaTiNm0GU1OFrqoewZ784up1w2MpI2puwShYHG2yOaecc7Xc8gi5LniGhwi/P+USDDjZihNZ5HtkPiMBZNzVN7ViSRC1JhLEEhUGybbeke5MlZg2YOf4PPv/DUvTa8gPJ1Aqwp4Lc7kbUmMvBy5AHtlzKoEuorScNHLHsZcC9UCc6qOVLcR1Tqh60Iyjmz5KNNFBCAcF6XuEhZLBHPzKKk0SqmFXI7eDXo1RC5UwfMIMwmE61FZkcRJRzfqtUFQa4KSaeDmIi2Z7yukrp+jWouxafE5Cl4SU3JJqxYLXopercyRcj/Xd5zkMnOO2z/3KdRGSKNX4Kd8YuMqi54uUV+Vw00I3KQcOUJthdoiJYK95RXMSQW9KKE2IvKvViNy70oRY0GEIDsRVVarRwmHQI1ixKEicNMgOZFjWHZAtgO0qo9i+Wi1kNqAivOHDD1PNRn7RoIlHzzE5LsG6TRrHG/2sW7bGQzJwwkVVCmihDd9HUNyScktxrwEz5XWMnO4J0pUWIL4ZFQPRLun//0eC1FKDVAVAl25QLr1MUoBRsFBqVqo8zWE5SKIBkZSy0Nq2tE6jh/AfBHZDZF9gVL3MIouWj1ErblITTtqcGIG6CpuJtord1IysUKA3BSUVwXIDZkxJ01ftkKXUWNpKk+HVqPhG5iyy7ybRhEhvVqJIbXG89Vhxse66H3ZprBJEJ8QKC1B908O4S3vB0WOKOCNAHO8ip8yEH50mxibISIzF6MG06hGPw/ZjWjGvi5ITEYNnJuJSOfI0oVUWPTsKXaIXgsJFYlWp4GRtwiVaIfXSUQ30AO/r6K9u0apFedZeZjZUorXS728Y90h0kqLrNKgFehklCYTThsp2UKXPHwk3pcs8rF73k+ggzLUpPe3MsVVCouerZPfmkOrB7TaFCRfoBVbOB0JhIhuvc18iFH2ic/YqHUXte6h5Gv4aRO15qPU3WgoUbejM7DSRGraeFkTpeGhNsLo9+yFKA0HEYLTk0JuOLT6EkDksJXc6LludQv6bh7n6HQvZ8/20d5R5eLkOfbuXnMBwhQQ6BLNTolWv8/lS89ScmNs3jJCW0+VK1MjvN7oI/HVOe595kHuGrkWf94gMSYjAkGzByRHInRl4udlnEyIVo78qiIUaGUiKrsZotYFWjmqz7w4qPWoNgs0UOoCJxdijKuYCwK1BdaFhi9Uwe90SfdXcUOZV6aG+fFtP+RzD3yY4JIqwQfTJL90lMyc4Ee7r0JbaDB9cxz/dAI2V/AViJ/WsJfYaIbH6+/7MQ+9cR3f+vENvPn9r+C8eZqdjz3BdT/7GyrXLEJ5OEXtmhbv+YsdnNi1BFtWURsS1oZ+fFVG8iNGQ3w2oHSVg1RViZ+XMBcEblzQ6hIYBw1Kq6Lnse14SGWpxPD9C3S80mLyljit5S7yzhRr7zjGCaePyqoAdU7lublVVN7bwbO3ZBl6osKwMccTa9rY+dsnuOJTd3Du0ynSRy8ktOwQP6VHw2IrpLJMpntlnruOXsPSnjzV01kKqkrukQRffc/DPJa/mHPjnTi2CkpEe7YWuQRqiGQEhE2ZAAESOJ4MzSjVFaR8kENEUcPsaeBaKnPVFJ4eQd38VECIhNPQIRA0DAnb1vCLBu0DZeTDCbqunqZUSDLfSPKeN+ziN89swzuUwl7bT2K8iVFyyZ4SyHkDOyvQ6gKrw48GiSUFv92ls6PKtW2n+MrUNr79zTfB5VUu7xjFSPiobz5HrpCkNmTixQWJKQ9tzEAAbkLilJTlhTNrGZ3oplyOY+RlaCikxoiUgQn+nNYwCgI7C/GpEOFE8fz5yRxyu81ge5HJsU5So4LakBHpsRIy6bEA4UvkNxn86Pkt1HoDbr11Pw+v6mPfg09yz7EtFNfpOKsXMb9n+/+cBvVb9/77l9beNkxaadH0NXTJ50ytA0ut8fZEnVtSk/zg5a3kjoXkjrvUBlR8478F2gpm3kUSMhTKkE5ACEgSIggRLQfheAT5AqHnIScT+PML4LiEtgO+T9BoRP8GgnqdoFwB3wfPJ5zPE/oBwjQQiTj2cBehKtHoVqgulqgt8yluEcTOy+gLMo5QuGbb65w73YuRtdjUPsncy904CYnsqRZ63ae8VCf3wG72/uJJhi46yt/++nYmpttJ9dXYODzO/MFudr+6hjUXnad2Xx/3/f1/8CQrscsGwpPwOjzceIg/aOMj4ec8/KyHXJHx2130OYVQix62MOUSIuFnPcJOh9COdgIlX2B1hripkKDfRk24gMD2FXZsfoCfPnwtq7eNsjk9Timjce8/PszXDt7E8F8d4twv12GpMh27W8zeKHHd4EkW3CQpxcIOVUIkin6Sz9z9IVZuPsD97Zez6DmP0lUuHTtc8huTFK7oQCgGatUneaJAkI3jtsdR6z6J8QZCljFnWkiBwBjLIxWqoOmEmoKx0EIrOUh+gFxqotQ9qNRQmg5qI0RpeWglm+Q5i/h4C8kNkFsuUt3Cy8VQ5+sU1yex2gUIGbtN4FZ1akvjHDY7MO/PcuOb93O00k9jfxY3KaOXPCpLVcyCT21Iof87+9i9ZT0/Ka3g0luP8bahQ3yq62V+/fwVaMua1LqhkY+jFySMsxrTJHG6PbBlqqMZnFCmeiqHpUmYYxpeS0PNK3hZD8+X4XycIBGglBTsUMY8p+IVDOqBjtdSEJbMuYkuStNpLEdDKSlIrsBLhFjtkDkhMd+hYKkqbU9r/PvMJfzoJ7/hw+tuwHxlhBeff4p7Dm9lzSWjCAQpuUUz0Kn7OooIeHjmEu7pf5X3LN/B/aNb6XpZkDvWoLrYRLGjQrbZJePFFVBl1FoUcwyNKCIXyhLCDwhVGeEGiHoTcumoIW1YIAmE5YDnI/wIggIC4XoQhIR6dHspmlZUnCbMSM2wOI7khTQ7JRr9ElY7NHtkzNkQzpgEW2pc03eGF15ez9LBWTq1yBeYlltYoUbeS5JTGjw0uZWY7rF16RkOnlxK7kRI2wmLQFWwU5FewtcF8RmHUBagyEi2fyF+5iN5IZIbRsMxy0W0bIKEgdxwkazoZyFcH+F6CNuLvldFQWq50fNo+yh1JyrCZIlQU/DTOk7WoNGt4MUEjT6J8sqQ9BkAgTzcYHX3LCPzHZxsdOPKKpUX25HcABGE1AdNnKSMb8gMPDpN5SYNSV1CZRG8f/ledlqLWLttlJrc5JX8Ej500V7GnxrkbCxD1dfpztRIaA6LsiXKVoyuRA3LV2m0dN629CgH5gdwfJnhjjytQCWuO1RcE113qVoGrUAjbVh0xOrkzCZChZjuoik+g+kShuzxwomVhArcveoRnpxfx18Pv8Ku4lLmyyka+9rpeM1m5iqZ2qCOluulscZDVgI8VyGoqawenualZzbxtxfv51PrX+WUq3L8uxvofiFPYzCOb0TNwMIVPonzEvWb6iQOq6gLdUJDQ9guoR55PX1TRa5b0GwhVBXh+ITjUyAr4DiIICCcWyB0XaR4HFGpE9bq4Hpg2YhCGTqyIEsECYOFrRnsNkH2jIf7l2X6hxcYjyVQ6xLxCZnBf97P4FdbjO4bRG4JNqwYQwB5N8FSY55+rcgfCmvoiVXZ/4mNPL15kIuvO8m+sA8CwcrPnqC6uYvSGpPEVEAgS2RON5FC+YK+TMIsRIRroxyiNiJ1iV4NLkR3o8i9YkVaJikgarLtEHPBwTcibZJWjeK+mbMXiqNGFMWP9q8DyssN4vM+niFx7p0qgz8RjH6tm6VteX778DX8/obHebHZSUxykEWIBCgiQAD1wKDsx3mhvJp/6n6OR1rrSb6mYhai3VHPFFjtEpInsNMy8elW1EB6fvQZbP33cMdBcnykSoOwVIZEHMlykRoWkuMhvAuDLdshtG2wbSTbQ7JchOejVFtI1WZ09kgSYdyIiMyOT2m5TrNX0OyWCDRBbDYaXF2z5Tg7zyxloplhIFUhpzbwQpkerUJctqn7BvNemlsTZU56OvvHF5OYFjgxhd4Xq8xeqVHb3IuvKYgAUmMtlLqPn9JptauYRT8aFjQD4rNetJ8+VYv263IaWjWCw2kXSOBqxSYwVYzxCkJRUZs+sgtqC5LnLLykglLzUBserR4TEcDcxRp2e3QDPXO9Ru9dIUg6X377I9w9fIgf/eIKzJU1RpsdtGlNDMnFlBwGtTx7asPcf/AK7lzxAo3QYcuW1/itvQZFCej88Qx2b5Zmr0ZtCWRPeNhZmeS5JqGhodQd/JiK5IaoVRel6UXnqhzFgK3FbehTVaQAhBdEZ6fl/PkzK4IgGpRYLlIg0IoWSi2asAg/wE/o5DelyB4usbAlQaNXUF4JbjIafmS/ZSPe5vKlzY/zs+OXsyCnaBzI4MWjIYzSjKLT1aUS/n0dvHzHQ3z6yVuJfUvjwNOrueFdB3khfQk/mb6Uns4KRd/g0ffezYP1i1EKCrIdQfDs9gBENPAMZZAC8f9Q955xdl3lvf93rd1Pm3POnOkjjTRqli25ywbjho0xxgUHAqaYEsoFE0ICKZeQhMBN7k1iSEKLqQZjWjDdxAWMsY2xXOQi2ZatrtFomqaffnZb6/9iHSv/F/fF/fw//xc3eqMZzcfW2dp7P+t5nl8j7DWDqr8sEAqSjOnNhAa0cXe2W4bCLWOzmNSW0SmnPkTDCboYc9O5D/HEb7Zz7QVPsaGyyD8+8VoOvPWrPBT3Yd/QQm/fyId+/gue+qOIuRtPQwuJtjR63kOu2rSHU7Z86Dke+5e7+V+LW3jsB2fxd394Gx8sTfHNPVfzKX0e7qrkxQ/cwvc3D7MwXeLIzzfSWCuI+lKSc1pU+y20ZXS2IhUsnyZQSpJmNCKVRD1Gk2iFxmE/7kaltQcE2oHF87IsvCKL3RQoLQkHUybm+lh39jQDH5jmP77yLb7zwEUM3Qv3/fLH/MsHr+Spj0Ykv17LO/v283fxOeR6W/h7TLSjVBq0wOooGqM29TNDqrMFfnjFLdx25OV4A2029y1yxCpx5/EzWVIBH9txL48urae30kD3RejjGVRPim7biGyKFSToWNJbadDqeIhIgmsyQnVGEXe6ZpGhZTxgEgc8Ux8pJFiFmNZsDqUE2YEmtZUs116xi517N1EZqtHuuOyeXsOd132O26KzGf3ELjrnjbP+5oNU7ylT3eDSGVLmutoCsbFJZEmOXv11Pn3XJUy8vk74tl5ecdnzzHxtI9OneOx+YAu9n1AcPz9DsMdDaEF55wzhSIEoZ9zWS3sFsm1ROCLwlyTlF2Ny04ZGn/rGXyM7YzTwTkvj1qF4qIPbFN1MeIEz49J5uofiASNXcrvZ3D2HWvT97TEmV3uJKylnXnaAhV+uYffMGE/c/h881knZc03KA9/8EZ+Pz2T1J7/5rzOg/uMXP/PJkWu241sJqbbYObWeWujzpQ2/wxKS8555I7yYRSQQli0yi4pg0RRxpw3NYY/OYIDt5xGOY9AurRFRAlqbF9/zEb4PUnSHzwQhJTruJqnrroOgtEBIdBQigwDhe8hsBj3YSzTcQ3PIZfFMm+aoJlgQuKsSf9aiemrC6659jH2H1nB0tp9NZxznjaPPsBTnmHliCK+uqa9xifM2vV9/lMlPXsBXH9zBvfvPwooEmy6cYGqul+MzFfz1DdraoX7rCMtbbXaW1vCWdU9SqTSZIkeQjUikJK2bLRAS/FxEaBkaUZLTaCHMzzSIYmwGUy3QArSrUa5G51PyI3WK+RYKwdaBE7xz3WM82RnkjLMP8dCt5/P4sU3Mt/LcfuACjlz9df527fVsvKXD0sWCXX9zOz+7+Rz6XjlPYMW0lUsj8Snabf79s6/myx/7PLva4+yP++j5laa4W3DivCyFyZQ4J1k4X+FUHdqjOXK7p7GUREiJChyU3d30K8CxEVqg8z7O7AoiTtEZ19xbKZC1JrqvhPYcRMegbUijH5bNNkklR1xwwbFJMjbLZ+bpe7rOyjbXhAYLGLv4OIX37SW6scyj772dO2tjTN+0DiHNJhRpqFUrWxycyxbJHBxk843HmKn1cNHAYW4/cj5f+d3lROMhq0nAtsocW8enqN45wOoWQTArkW2TA2t3BGlfTBpoiCVWR+LUBeGAIphyoG2hDdPCoB/Lxh02yRjHW7tuoXxtol4igbIEwlwG+QmTnZV6ghfe+nWO9SnCs2Iu2Laf72wdJbx0O7/+7d1s+vZNDL5qmvGsiWFxhCJndTjQGuTHD7+Mm8/7AXtjj68tXsDyj0fRlqA+5uI2TQPl1TS9jy2Q9gS0yxZp3sQ4IITRvrUShFLIMEFlXYTvYboJYYbTJD35tY4ihO8ZBoRjm+USoHM+uA5pISDqC2gNOKSeoDouAYG/qPGXTXSCuH6JN12xk8efPYUXJ0b5oyvv5cdHzuSivkO0lEc1zeDLmDXuMp/4xZt4x9mPULab/GrxNKr7yvgrmnavg9P+T/Om3FxCfY1HnLOwYlBdFF070iCjUiASk1GoA7eLTJlnEm2GV6NP1RB0s5Jty2gWu40xjkTlPFTgEGdtWoM2YdnEWrg1jdMwdNHWtg49+Q5D2TrH9g3TjB2mGkX672mCJY0uOmdhJZrCvz/G5E2nEeJQOAZrbp/lyYvXkMt1OHh4GN0D09USz+/cRHWLhkLM+PAiibJQWnJ4oUKqBfXII+dHxMqiP9dgKFcj0g6BHVOPfDw7JUxtPCs1vgC2oaO3EpdUS1baAY2OT73t0UxdUiwiYZHxYn5wbAeXjB7ip5NnkHMj5HcrrJye8tb/9gDF4QbHXxhCaEGjLNGOZv3gElvXzLL8qTE2vecgb+iaJL1/39XUVgosnps1iKCGwrGU4W8eZuoNFcScR5y1UVkfK4Go4pN61knkOi1lkLYLto1odxC5HIQhIgjMOaE0IpczOdq+Z55bKRE9eXRfmbg/SziUY/GsgOYIRFs61M9IEU/2sHK8iLsi+bcbv8qnL36Cmy+8jGoYsOc13+DDZz/Fg61+bKFYjPPsbw6SCJtt2WkeP8vB+67gzk33Mu4d4s5fXEThKJy4eoDCMUWcFyyelzK4MybqcfGXDM1RKsMqSV0j00hdU0PttjJoQ8f8/KV6Bqa+Kk+iXImVaJQtcRoKr56a7O+mabjdxRZWgnm3Q5i5yKY+rslMGSfdtf99FxPZs/nrm77LNfe/nc7HK1SuWyLRxuU2kDEPLm/m6aW1NPF5Z/8j/KR6DnufX0/pgDnDBMbgzoqMlCNYjGmNBNiJRAWuOaZdCxmb2iGURrs2wjG1XcSJQUwtaQZaKdFpivQ8hOOY7+MuJVSYWqTyWdKegKjs06k4VDe6pmFzzTCBhM55TdLIZjLJ87pTnsNxFQ/t3srbNz9Coi3m4iKLSZ6twQzfOnI+7x/ey72NEeZ/uJZO2Qy59Q0+Q48moCXNtYYyGOcdguUEuxYisUx51IaGrFyjb7c7mjRjYzdT7FZ80vnWisxSz24naM9Bu4Zl4S530I75ubYkUdHpmstBY9gmWNKIWNJYp8hMW5x4hUt7AHZ952y+OzrCn1xxF4+ck+XwwBlcd87jTIR95r3F5o/KT/Hj2y5i8wX7OJIUGLDq/OLOiynudJi7vJfSITN09hxVePc8yeI1a0E6pFkXgezWf8x9cyRWOyHucRHSMrVTCrPUdG1Eqs17FsbojG/eO0ua2hmZr4XSqJxH2uMTllzQsLItixVqlCuwYjOcygTcD1eZOtrHb/acQXDUYW6piLcq8Gqa1IXs8TbTl/scvPHLfGZgK2m2xov3biY7FTLy+Ql+uGsHaTE1Jl5BgnA0t+++COEqGIhItEXcm3SzKyVOq5tfqQRRr4lRU5Yx0BSpWfAq1/yTyK5rsUxNlnec04T9Cr2mg8oqcqU2121+jkcWN/C3F/2Yf37iSg5XK5y34RgnRML+xiBHejfhhDaP/3Q7v374br7183OICoJwbUyaV6hywtGrv863b+7jlle9grkL6zTPW8O/XraTqy+8noMfzGJXbXLT8JO3JnB7jSe/dhdbX/Yk9+jNxC2HJLbwZlxkDFZk7uUpFxylLhzijkNSSQimzQDbGYkJZox5VZoxg3YSmF5cu+b34IQk7lFs3jxD8k+DzP59wDfuvBxnxwrtVpZv3HUu8zd0KP3oBPf940Os/+V7OHr11/nZDptw+yhOw9SB5pCF29SUHp3Bqxapbdb802m7+dYtr6AhfGbaeca2nKCFTdjweHx1jKjpsmXoBApJmFcoIaj012jWfXTHAi3wshGpECgLLC9FpRLZstCBMbx0ekIznCtj3hZU2iSJhZCG1egXQrQWZLIhe3duZPjUeU4pzzP7+AhJRnPHk68ge8Ths9/7Cd+qvRz55iP86vF7+Y+/GCLsK5JmjKTKnXC5+Ybbec+fvZuhHxzkm/vu46aBCca9w/z41xewNFUGBPV9RfRoyO53foMvuptxpkrkHz6Ea+dAWvgrKWHRMG6UZxIUsjNtwl4Xr67wVxRxztQRu2uipxxTv6wEo+8PjaQpWAiJig4yBreRcOy1GZafq5CZhyuvfYpG4jHhZ1m/ZY7b/vxifvthY5R0/avfxj/8xff59ueW/o8GVPn/ZaD8//uX1uaw7HWaPD4zRth2uOmU3+IIi39ZHmfxUC9hyeRZWRFmeEk1wZFlvKUQO9S0+yWrmwMaYxnCSkBSCtAZ01CI7vZVeC4IicxlkbksIptFBj7S9xCOi8znQZmHT3geIpeFvjLpYIn6xgLVdR61dRJ/wZioZOYVhQnjDCiClLzV4ZG3fobtZx/lwN5RzgiO8dTiKJkTMXFW0BoU9N59gIO3nYO3DJ0dDca/fJjXv+FhzixOId0UEQuiyBhFzFxkkWTg2P5B7j1xGr1ug/NGJrGtlEqpjvBTUyAjSTSdhUSY770UihFOpY2dj1EdGyzD6xKpAKmxihFOJiLvh7RClyvW7Me3Er59/GV89VtX86WfXcXKjpgk0PiDTTLDDTbc8QGOvPHLbP/aC5zy0QkAbv7iLVhC4cmYrcE0F/fs4+efuYzr//gBHm9tZD4q0N5dRrkW8+dkcBqmce/dG3LqpybNhjPS1M8fIxzMA6BciT9TR0YpVjsmKXikvTlQirSvB531DRJV7yAbHbRjI9oRcqUBrmMOrzhBOxYqG6At4xTbHvBp9TskGcHUqwoM7UywOhDMa9qJw7anJL2/N8FrX/Um/mlgN4UvzBEVbBOwnigWzrQJS5rKtQdYOj3Ho3s28Yntd/HlR15Jo+WhehJ0y6YdOix0cjx4fCOv+cRDxL0JrRGFsjR2UxCWFNm9PiK0EKEkKinaQyl2Q5J2tVgyBmdVYjckYcU8F96KpPuqYDVld3ss0IWYzIz5Wf2VTe7/00/z1x/4Lud86iYemN7EZLXIi7VB1P1rcO/dBcDBt3+JxV+M0lEOjkhJEczGRX772+3c/NrvIYXiYDjIw3ecTdgrqI2bTXPYYz5A9kiVxtZeswDRJqOvXbFpDbqm+Sq4oIBUg+o2G1qjPdsgooUMKmc0fyKbMYip6xjWguugAw/lO8SVDO3hgOagTbsiCUuC4iFFblqRm0nw6oqoIOjENtUk4DUX7KZ/ywJfvPsqXj++h1RLZHf4zsqQv97zOv7y6p/hiJQN7jxH7h5HJpj8UmWaeqepqDxdM9c5F6McQX3EIS7YhCWHJGMiDUSqTqK/Wpq4mTTjoh0LbVkGSXbM4aUtM8TyElosBdq3SUoBypa0Bl0aIzapa7Kci0dSrAiCBYV2oFhs0uy4LHayKE8hOhaOmxD152gPZkgykvJPnqXwvcc4/N2zaI+mOHXB4umCY5/rYW62BIDMJOyaGiONLK695jF+eM0X6K/UWGxkqbZ9Ol1Kr22ZhV3GickHHQ7XKkzUe2knDtONHjzbLPZaoctwtspAoY4UmlRJVloBSgtcO6WcbXH2yBSnVebYWFjg7ZueoNN1rXzsxDouHT7EbRt/yOL1LYrP2/zo5ldzXv4ozo4Vls5KwUvxvJjzeydY/PAoH/7SDzi1qz/d+tUP8pcb76ZwxRy5SaPtdxoaGSmWr9rMxltPUDiiqW6LWd5qMX+WT+pJkqxhkWhptsYnh5X+knkGh/tRpZwZWstFRMZHeC5qtYoo5KFSIq0UaK0rEBYdVjYaw5m4lFLYGRDszlCYUAQLmta6mH3hMC9GLZ47/3v88Ixb2fTr9wIw5KySszq4MmFTdp439TzJndedR/uX62knBuW94qEPY7c09bWCwhFN4pnoorGfQ3W9R3XcJuw1yw2rrYizFnZHnxwEwqIgzpkQe2UbZ1uZvKRNTEAY+i5A4kmcZoq3EiISTRrYyNjoOaO+LNWNWaYu8zh+uUXpBchNmAzWOAsHbjmPoa89zae++TZy5Rb735/FEgpfxuSsDqEyz00rcnjvwG+5v3Yadx7ajrsiafdK4kCQOqapz7LyKKgAACAASURBVE22yR5toDxJlBPU1vl0+j3igksaGKovqYbkP9FPLSU68NC+GWSxu46/tm3uKYBS5nvbMvWlJ0vSGxD2+jRGXMIeM5QqG3omUoJ5jRYw3Fvl4pfvJW64/HTnDjJ2xI7th1lKcnS0Q4/dYjHM8fXJC/nm9tu5vVbhQKOfVr+k/6F53FWN3YTVcQevphjYFSNjaIyZa2utzWO1EmSkSD2BtxJjt1Ks0Pz9YdHkSCvXQrkWMjISAu1KUAplm4WZ+H8lMiRZM+RFOUmct2gO2jhtzeJZpvEsHJQEC5rMjGT8jGk6ZcmJB0f4wtFXcuvEQww/3GY1zTLmLeLJmN+ubObqP/sof/Xxb+OLmC3OPL93/x+aPNezBcGCpjru4K+kuNWElXe9nHU/WjDmhcMWrQGXNJCmdmZts+DTGpEYGrI5900ONqk+yVoxzBpQhYxhLkiTl609h6g/S6fPJ87aRDlJ2GMcgP0VTc8RRWbG5EfHO+o0IxeZi6lsnyfKa9JAU5iMSB1zdgkNTk2w8XsfwHNiPnfPVdQvbnP4zQUefGYrQW8bYoG7YFF/sUx4PEdhuE5PscXWkTmCsTrCU9h1Cy3NfVA2aKnx5i2Ua/5O5WiioqY9qBAakpwBEcAkEoS9ijSn0H5K2nTYPHqCsdIKv5o8BUsoPvSbt2PPO6Q1lwNLfaZv9pq8cNMtBCdCJt6mWH/3e/neP3yG9oYIa9XGm3HY9M6nuXL4TC55ts3cbInJT17Axe8wvUD29jrSSxk5a5bKV4zT/zV7Vzjv4zexzjZGpcNjS4YiPBib+DRHY7Vh7zPriI7mDRgSSTpntwjXhvjTDvaFyycTNVCgfBMTZLUk9pom193wO7BN7xV9dBnnlz2M/qbJ8FuP0T63RfYts/T/MOCXM7v5g8mLOHrlrYAZdJxGanwbtKbTK8jumUG7DmFBkh+sc/oTb2F5G6w5dxonF9EXmOsQDVMX8ntdDi718e6xR1jfu8xgucZqPWB4xPjeWNmEwI1JIgsdSSxLIbMJKpfg5yKwNFJq0sRCOOrkHCOERiWSTKGD78b4bkzGi9j0ignmHxviaK2XeHMbHI23aiR3ty1exOff+A3m/uQCXnvpG7hr5520B4wbcqdfcfYNz3FdtkVmNuTQRzczZOdoqYg3/82fUzjaotNrzOKsENqzOV5z7dvoHM0z+RpJcspaoryDvxizcIZDbsakCFhtTX2txcJZOeKMPLmQK0zGZOcTnKZJwoizEhmb/GYZatxaSlS0iXMOVsdkqa6O+wgF73z7L/n0n32Vuw+eypOPbcY9GPDG4adw/rtxPb9y+Ezuvu8HfOBH/+1/MwX+73/9XxEz07u1T7/+21exf3WAnBtyZd8LDDsrPFDdyoM/OofmFjNMpXMZCgckxSMx7mpI2Ovhn2gjmyFxJUdYdoizEremsCKFXY+xF+tmK/fS0OI6xnBluW425J6LbncgisG2DSriOMRrKsQFxzTbOUmUl9htA2d7qwl2J6VTdonyEmXDlve+yCdG7iLVglBbfGb2SnbPjfAXp/6SW/7u95EJLLyuQ1J1cRctep/X9Ny9l8YVp/KFf/48d6zu4OdHttOXbzL36DDjF0/gWzF7nt5A9rgxBbJCaA1pWN8kTSxUZCHqNkiNdg0dVDsaPRCilUAn0mx+EoEODXrn97ZZW16hx2uzMbvAzoVxJmd60YnAWnFMEXE0IhF4Ay0+su1+/vHxqzh13QzvHXmYv3n+OjaUl9izby2yaZGZkdz4zvvoKIf7Zk/hdaN7iJXNRn+OLx27lKV7RsjMK6rjEm8FvKom8aFnIkakppkMex1aFYs4Z1Cj7FxitsFVg4Zqq7teB5KcgzffMqgUhkaJ1qish+gkCK1JCj7alaSeaURXNrs4TfPCe6uGRiZjjdtQOPWUmYs93vb633DHkbNYW1xl36515DevIISm+MU8SUYyd77F+r98FHnGVqauLOFetMj64jJPP7uBoYcEM69OEC0Lpy4559J9PHl8jfm8JzL0rFulJ+hwammOe57bhmhaiGKErnWHOCXQrkEqEBpnySb1u01maobQNFDmnixJEyGUGoQ1Xdth6+gc+2YG6Mm3yHsRsZIoLZjf30fvM4KlszT/ds03+cT+63CtlPmVPAcu+RYAf794ChLNSpLhdyfGuXHsCRyRUpBtbv7sm2kPCOwzVole6MFuCrLTmuLBFo01AZn5CKsZgxQkWYc4b6Esgd1WWB2F3Yj+EylUCpEo0qyLDBNz34RBIA3aYYYE7Ri31ajokgQSKzRF0g5NrIRXTVHdhUOnZJMEgupGOP/yvRTskNU4YKGd48CxQUTL4iOvvJe81Uai+NLRS7h+9FlKdpOWcrn1W69FxlDblOAt2PhL4C8peg42qW3IEizEWLEiCWwjKXDlSWqvjI2GDdXdCncpzWlgYzdjc11CQPKfjaOIU5PXl3PRjmnWUk+SOmYbnbqCYNE8+8oVxFlJWBDUNmkKm1boyzZZ6QQsTpQJpi3awym9TxmXz+UzU5xVi6FHUpa3mniKxhrNX13/Y/7HY9ciLIWY85ExxAMxuXILWyrWl5YouW1iLUmUxaHVCo22h22nDOXrZJ2QeuzT6zfZmF3g6ZU1HFsuMVZeYbZWwLFT8p7RinUSm1rbJ+w4SEvhOCmbeheYb+UZza/yxMH19FbqVOsBL1t3lEcOb+CsseNsL8zw3bsuIR4wESrvuOYBbn38In796n/lHS++A9dKad82xOYPvcCAV+ft5Ud5580fJblilafP+zbnPfk2VpdyZA+4ODWIeqAwochPdrBX20T9xjQvKhjtnYlUCXGWWyjXRnsW9nyNtJRFuTZ2tW0WJYFrWDhKmxpTCGgPZWgOWoRFgdPoMlWkiWZx6yZCye5o6qMWrWGNSGD/e74EQFW1qaqUW1fOp5F4xi0S+KeB3aykLc7/7p+y7YJDrIQZfrb137nqTz9CbqrDsdcGWC2Tfxn2wLqfLLB4fgVlm2cm6jG1UcaQnVNEebMdtyLj0CuU0ZcmgUCk4K8orFCRetJonbU+ibS6yxHKN7T8NGNTG3MIS+bfTChTj3IzpnnJTnXQlmDu5RniHIQDCSIR9I8vIb5d4fV/dR8ZGfFsY5S9y0PcuPZxMjLEFSkfv/cGvGVJXFAGJVgV5GYUbj3FahtvATQozzINUcYMMd5Kikw17lIb8dIgAyBNvbfrIaIdGbQtVYjEGCcZto1EZzySnNsd9iSdsmHaaAu8VYVMNNrqOu5LwcKZgnMv2UcntSm5bR6fGaPTcVCJ5A3bnkFpwc9eOIP8roDNb9rPZeV9DDpV/vWjb2Vxm41MIDNnnLzjjMSrmVxTGRndVm2dyQGNc1Dal6Icgbeanrw/IjUoRpIx3gpuNSbqMQO33U6RkSIJLKxOitDQGvQMBRhY2uoa9LtmBl23YbTz1XUOTstEZZWvnmZyroywNOsHlqh+e9QsM25Y4l3jjzIbFRlyV7nl29fyjrfeR8lu8nxzhENXlzjywY1EYyG5Zz2iombgiZSVLTb+ojkjlGcRFWyUY86ElyjmVtj1LojSrmmcuc/KkQYBtg06qoUwun0hzNDq26S+TVxwUK5A2YI4I42zek6SWezGgQVm4WGHmuVTBcEZK+T9kHWFJX63fxOjQ8ucWM1TvCtLVBD0f3Env5zZzYY7PoDyFaO/EkxdqTh67df4X4tbuHXPBQDoFRedS0Fo5IqDW5WIxMSLWaGgvS5CNmycqgShjcRKGBRMebr7jgrirDYgQZfWa4WCOK9JB0NKpQbri8vMNQvMzJXQSiDdFBY8VKAQkUAHinxfg4+ecj/vKsyzOwyZT3M8017Hem+eehqQIvmH317N5vfv4pczu7ly+EwO3nYOcslh81cW2H9TH1+69lZuevRGck8G1M6IGLnL4t7PfY7tv/oQhT2u0clmjA42zSq8RYvOQIJds0hzyvgx1CRxTqPzCbJqo7IpsmF1XasT7KpNmu0OcFJjFWJzv1dc7IYkM21qUmtEY7W7sYga8kclF71rF/f8+lwysyY6bv+7TR29cvhMotfsIPUFK+9swCNFvKrGq2qs95zgwv7D3HH/Bbz6kt3YImWyWeZEK8fcZJniYJ1m2yVNLOS0bwbtUOBuqdFuuhSLTaq1LCoRSFujEgE1B/IJOhUnlwnC1njZiLBl3kXHT4hqHuXBKlk35vjhPkQmpdRbp9XxCNsOp49N8/z0kPGRUQJ7wUGua7JjzSQA31n3IF9YGeOWH1xNGmiSoYgjr76V0774QdoDCp1PePqKz1OyMmx5+B0M3e4x+aYUOe/R97SJPSt/81GmPn4BSaCJy4rcSI2N5UX2TI6S2R2YHlMbGq8VapKMieKSMbhVo1s3rFMDAr4092TnQrQQOIstklLA6iaf9jU1hNCEoQ1Hst3+FZxql66ewFtuvB9fxoy5i3z53a9HuRb3f+dWrKFD/3ViZj79bzd/snHB5WwoLnFB6Qhlu8FkVOGnP72Q9qaQwaFVMn5My7JItI1XFYRlU2TtekxnOIfdiE1sRWiCnIOFEJkYbRa2ZYbRwDcUoUbHFL2XqEBRZBCewIdcBnwX5TuEvaZJzs6E5A/VyRxexmtos8GzJElWEuUFtctb9BUanJqb4kSaJysjNmbmeaa1lseWx5FPZ6mtk1B3GP6dianITaekoxXq76ty+2OXcigtcfbwNOP5RfbpEoFvaHT11GHk7DkWcg5iQxu7L8SytHEJznUgmxKHJljcHWmR2AKqDjo1B7puW4jQ0IecYgfbVixW80xP9PPivjFW2gFEhrrgLZv4A2+whXI0xUKLPdVRXr95N4/95Ex+lxllTbHKlsIJXjF2iKfm1+JsaXD10HO8o2c/u6IhtgRzlOwmP5k/h8lfrqcwkXLiQmNoE1Y0uUnoORKyeLpP+bdT6FyAP1klLQQmhH0+Js7ZXZdGk1OrfIs47+DUY5RjGS1LYqiU2jUbdW1byFShsi5p1qFdcWj3GTqa29S4NUWwkBCc6CCRCCXITrVY2Zqhb3eEurhD1o1Y6WQYWrPE7FKR1nKAP2+zutni3Fe/yHF5FktnBLSHFOQSju8fwmpJrnzXY7y4MsCm8Tnm2zlmD/dz3bnPcPDx9WCB9UKGalmwf2oI0ew2RFpg18x90UFqaNozDklvgnJBhqbx1Y5GuxrtKayWRVRJkQMh3nCL8toqteUsS80sp62ZY6WVYWGil3ojoK1s/CMuyWU1rj/zGT795JVcteEFbEvzl5vv5oo738cfn/oUv2oMcbDZz/2HTuEPtjxKVkZoBP9wx++TeoJwQ4eo4ZL6gBZkZzX1MZf8ZIxyJVHJoBpWZCIDkozEijVOMzHaSksabZ8tSfPuSVRce91lUDs6uSlXWe/koJr6prGxEo2/GBMcq+JVE5TvoG2DAjWHbdr9RvfT9G1yXkSiJRpBb7HB8lSRreunEcBP5s7mA2O/pZpm0Ai++bXX0qloOn0a8RKdOhEkOUGcc8nMJ3TnB2Ns1kiwOpo4132XGgmyk6AyRk9mqHmyu3RJT+pwZdxlZMQpKjDovvJt4pxtXFFbCqeRkjnewmuok5RLkULqS6IeYz6l+2IiZWFLTRub2Jbkj1gkGUFjnWb9zxKCZTPUrmxTDD2aYLctOttTjq2U0VUXf0EaJ0cBHAsY3bjAQivH3uPDLMUZ+rJNAjthaq6XqO1ST1xWOhlSLVlqZzhU66OTOEihibVFlNgIoYmVRZg4pEriOQnlfIu1xRUasUcr8Zg7XMEvhRQLLSpBk1QKNhQWed/4wwhL8MzqGmZ1BlG3Gf6d4kFvDOGn/GT5DNqRQ+6zBZbe3mYlCnjL8C4+fuB6lso23zjvNj48cTUD2Tq5XMh8M0/xoMYKwV9VyFRTX58zA0DWolM2Q4fb1AbNyXk4Kx1kmBAN96Bdy8T95APQRjpgHgBN0l8wzq/a/Pd229SV3HRMYaJD9uCqWWwWzLNcXyeIS4o/vuoe9kRZzvHrJDqlz8pwYWaOu2rreHn+EHkr5L7mEO976Ab+6PJfsb8xyH1b/4MLP/FhyntWOXZtoWtoJIhzUD6gWNmWIzebUjjSwkotZCzIzCt6jsa0BmzjAG2ZQTTuZvcGyylh0SxThTYslSTzEp1L466maMecq3HOpjru0qkYMzqEoUL6S0avpG1B/lgbkSrigsvimYJ0OMRZdIwZ4GQWtOT0cw8z0amwEOZ53eAeynYDjeRTu6/BnfBQjkaNhCSucdX1F0E5JorNW+ycpLzKGNy60X+jwakbY0ShzGCNZc46mWrDaugi4ih1Eh3HtsC2UIFDVPaIeixkl0YcnOjgL8XmWumaRGUltTGJ0ILKhmWk0HRSB89JCbVFtJDhjVue4HjYi/A0r7/4MS4vvsBTjfV8/x+vYvEMSWcoJRpM0KmN1RFYsXn34owkWDZ5z8Gyxm5B5oQi9QX+qvkQ7mqI8m2SjGXqYGwcWJUrjXGcBm1LlN3VLLpGex6WLOpjNnFOkp8yLAy7Y0yFrNgMu3aoEUrQGBU0JwqovgS15OGXOpwoevTuhhVyvGLbi/x572Fu/Pe38bG3/JjVNMutBy4g/u8VyPjMX+CibU3UnxLMmIgZmUD5xRYyTAxrxJFYHdWl3RrasldLsOsR2rP+8/6IriFdmBpDPM/GCs0ZIqOupCfVYEuiHofUNzXSX03JHm/gdjg5nAaLMWHJNqwWKWj1aYq5NvOtPK2OS3U1i7svIC4IZATzf9LLrXdc0GUYwNBDDXretMz9rQEemN7MULnGSLlK9GCZdGOIatmIVBIPxChLkBRT9EiETiXaNvcp7lE4daOlTnJmwHMaEmVrtGM0p1IJUheiSoq2QaeSdtNjdq5MezKPTiXBlI2s29gdSVJIzTvhp1y24SB/1befWKc83O5n1FlhPi1wsD3INfnnGLSr3PHiy3jy1ru4cvhMJv7+5QRrGoy9+xn00gr9zyt+unI51tYm7371b1i5cpn3/2wnf/3qa1m9wqVd1lhNi+aWCEoxPX0NvCd9ZGyRZCE7KfFWJO1+jS7E+Mc83KogdQWZWdNfaWlcYbUQiESQn7AQVQcaJmUiPyFJcga0sC9ZRuzLEFYU77jsYT79qjv4xtZRKs+0WHlZBX9Z8KuhIjeUj/Cdfx6ketEYzWELMenTtydEW5LGqMTf2OCxR09FOzAR9dASLr6dsNTMsmN8ggOHh/HzEdGqT7C2gQ4USWCYP+NDi9Q6PtJS+EFMFNl4QYKyNbaXoDo2QamDsBVpaJ/kn2ZykaH6Rhbtlke9GdA3XCUVgvpqhnTFg8ii6Ug6qwFePsQ5mCENNF5vh229s/zm0BYOeQ6f7H+Bf546C6sjKT5r8fOPDzF7VQ5vsMXBy24jkA6pVvygupHfe8OjPP3kFhDQOCdk7JZJ9n3hFPqekHirUNqn0ZMZas+UCY7aRD0GAMrNGUQ09cwSp7wvpjlooTyB0zKsC+V2l+bdPwuLNtWNDicu9Fk8DxJXwqxP2PDQNZfSi5D4AhkLhh4PWTpd8rt3f4YrczUCOcf3l17G0GvnmNg7ynuvePL/OGbm/woE1d8word98Z1cv+ZZHJkQKodv/uZStK0JhhqEHReVCErlBivHStgNY+0tYygeTIwr6MmNsHG3tdrGiARAtmJEnBIO51C2wD/RQjZCVMZEAijPNhtbpQxtIEpQnoNsmDgKESeoYo40cFCeRafi0C5L4pygPaDZceE+Fjo5thTmGQ8WaCmXil3HESl3zJzLkRMV5NGA4n5Du+r5zmNEV55L7UM1lmfN+luEkoGNi5zeO8OWzAmmwyIj3io/njqTWtsnSSzK+SabiwscrlZYqOUY6KljSUU99JBCmwGrFRC4MSuNDD3ZNiW/zcb8Ai9WB5mvG/dT20qpN33UdAaGOqRd0ff2zcfJ2BGDfo1EWRTsNm8rPc6uzhinetPc8OAH2DI2x3wjx2vWvMhku8xfDt/D9T/4KH94zT302caQ5q7F03lyci1+EFGfz+GesIkGEpx8hDyYITttNjj5yZD6Gg8r0nhVg4Tq7lbUX07MYdpMuo2hpl0xeiu7GpL0eMa0I0rNvQOioodbjUhyjtFhCYHVSbsHp9m2awFR0Rym7YokCaC5vUMmFzLUY6iOtqWIEoswsolaLpve9RTVt72MJCNo9wni0xvkMiGf2HoXP186i1hZNGKPDbkF7vvuy7AuWSZ+tGyMrMY7qFWjj7Hrkrg/xlq1STOGDpQUUkQiELFAuxoRd7+2NTIyGrJgrhs4vynCm3KIehWyGCGEhqmApC9C2gpvX0CnX3V1q5LOcILwU9aPLnD90B5OxAW2BVOsphker41zSnaOBxY2U/GbnN9zlLLdYCoq840XXo46miXNKWRohPpRxWyOg0kTaaRtcGqa3KzZWoMpZicbjbb5HCLRWO2EJGsTFW2Chcigxtpoq5T1kk7O/H9kmJ5EI61mRJpxkVFCkvdIAqNvCYtmMRT1CFpDitL4MqsHy/SdsohrpaRa4NsJ08s9nDkyzfF6kfet+x0dZbadn7nnWrwlSWtNglO1EDHEBY1MMFnC2mwX3YYJAheJRsYKbQlS35xKTj011G8NdjMmDWw6vQ6Z2dCgxnRRAdsMmHYzMTq/doJyDFpgNyK0Y51EEuKcaaqiHouwIIxR0qhC9UVQdRDlCMtOUamFtFKS+YDe3ZLFc1P6nrAoTIQce40HEu580z9z9S8+gvYU52w9Sq/X5IHfnElcSKmsXaW2pxe5uUFn2QdXYbmKNJLkSy3qi1my5TbNxQzCS5G2ZriyyvHpXqSTYjkpSklUbJgNumNRHKgTJRadlovjmfdRSk171cfNR7huQhTZ9OTaJ2vV8cUiw+UaM08O8bJX7mXn0XHS0DJmFK7CXbBxaoK+V03TCD1Or8zw4KFNqNDiR5fdwkcO3MBq22db3xyn5mf5xoOX0DNWpfNUGRlDbtoYADktk+3ZHJL4S9qgOLFG2YLMiYiw6LC6waLyfIyyTUxPu988K4nfza7V4K3ExHkbGSmCiVWScharFZEUfRojHmHBmIFEPQpruMXrNj/Hpwef4ewnb+CvTrmHN+RqHIibbHayHI0brHdybH/8rVwyephet8H+xgAfH7mb1//wI7irgtQ38RLK0bzh6kf4xfcvREZmmPGqKfVRG6elDfIXq5NsH5nQ1b+BjDR2KyXJGD0YdHX92ixZhNaknkUSGHYACsKSRZwxchq3odCCk5Q6meiTQ1Gwb47p3xsjKkBUNE23lkai0BlMueScF3h2YYh3b3iUQbvK8bjMr+ZP5cX9o4iuGYyMBGnJsE+ykxZWx9C0/RWF3TbXhQYtMQtJAXbLLPRkO0HEChXYJxeYVjMyS0vbPJsyTAwK6RpUGMs0zicpsVqTZlyUb5H4lnFo75V0yoKwrPE21VBKMNBTJ+0yUzSwWM2xaWCBMLV5Zd8BynaDYWeFj932LtLAoLAvfW7lak754hxT1w3jVjXZ+QQtjHGJFSraZRuvnp6so+Ya1UkNu7YMNVuk4K5ERCUXu2nc5K22Ojn4WR1FVLBN7bEhMx9RW+tjRQY5jXPmvirLZFHqi1aJny0y+PIZjj8/iMoocBV0JMGszQs33cKHps/nlT0vspDk2VVbz4M7t+GuaRJNGcRExIK0HPOqbS+y82dn4K1qrI65bq+mcBqmFr60ELDbChmZsyH1Jf5Mi6THoznkUjjaMmi36p4NjkTGChmmxAUHu5Uio9QsRNuJWQCGCSqwST3jimzFmvqwTadiUgnc01epz+co9Ddotw39O5sJGcjXif/nIKt/Uqezs4IVQuX5iBPnuGResci2yixharNvqZ8bx3fxlZ9eyXVXP8bTy2s4UcuTppJwLoMoRqhEku3pEEUWccM1ciotEE0LnUsoV+qsHiyjfJMnrB2FlU2w7BStBHHTgURi5WPUsot/wiLJGkqw1RHEAxHFcpNKrsl4fpGC3eHywguUrQZzSQ9/uutN/N05P+e+ldPYUTjK881RvjjyOADjP3o/mWmL5saYo1d/jXP/5iZSX7B6dsTgr236PjBB43+O8h/fuIUzf/debFshpcZ+oIfq9hh3wSaqJNj5GOtQQFzQODVBVFJ4gy3SwzlEDHpTE3U823UnVuhciqzZKE/hrHQlBp7pZcAwATOzgsb6FJ1NIZQMrltitZGhs+yzceMcl/QdZOdbzqD92Q6zO0dIfWPe1hpW9D+ByUmPzQJGKJh7bcS5G46xEmaYWi7SqXrYmYSDl97G9QevJNGStdkV5js5JmslLKmoNgOUEmT8iL5skyMnKnh+jCUV7bZL3HYoVerU6hkcNyGObEo9TVIlCNyYWtvHsVKE0NQbAUJqoqrH4Jpl5mZKIDWVvjqLU0Wy/eYeHjvST2bSZs2rjnHsoTHWXzpBO3FYbQWc1jfHhuwCHyg9zrvWXsiBL50HAnZf8zmu2PMOGo/2UblolnrHY6Snymw9z82n/pj/8cfvYfqVkvwRSeXZNgtnBfhLCplAz95VOiM5Vje6xteibWqru2rAoMaIQ3Y26fY3ArdmmBmpbxiIjRGb7JxZjiydZhbyueMmJtOta4qHO8RZmzhnEgS0hOagxerZEd+/9Ct87NAbWF9YYm2wzOFmHxWvwRfO/vf/Ogjq33/+Xz75xvfk0AiGnVUOtAc53C6xft08npPSjm2SyCZF4h71iUoKqyNRDl09lyTOWbT7baIeaTYAvkR5XR2YaxEXPTq9Jv8U2d0M25K45JHkurqWLrqR5lySrGOcgbUxbkl6fOKiS2PYpTkkCSsmwiXpTbhs/T7e1LeLuxe2sS67hC0UtlAsJXlSYbH0i1EKxzStQYmMYOq9I1S3SD62426y5Zj3n/Igexim/Ad19hRPozkg2Dk5Dp5gR+8k+1YHuHzsgEGZkOTdkOtGn2M6LDJbeuCBowAAIABJREFUK7C5d4FW4jK70kMUOTiOIoptVhdyrIYBB+YH0JbGsRU7BiepJwH5IOTy0/ZyrFlm+5ppLl13gAPVfgI7Ns6dqctzy8N86+jLuWpoL5cGIY/JXqphgGenHGuWefPwLn5RPYN3nfEQi0mBQEY8UtvErpm1yD15mq5NMOmgAlCFBBVaBNM20hgGE+VtguUUO+o2Ipak3WfjtBROKyX1JFgCmSjijE3qS9xqjA5sEIKo5KBtSdjr4dbMEKRtYxBhtxPcEw2iSsYgr65ZLFixeXmULYhKguammFKlgX13kea6lKFCjan5Eo6XYFuKsTc/y8yfXYC/qmmMSsJtLbYOn8D5uxI/XbeFQ8cGmZ7o56wNx/j88C4+m26l3XZJBxISW2AtulgdQf6w2UoleZNl6zQsokpiIgGahjJjFSOUFlgtSVpM0cUYlUr0KS1YdkkymjSrcVYt5LJN/jmH5qaY7AEPa8UhOrWNPe+Q9KQUTllBu5rxwUXGC4v8+uYLeW6kyNbSPN+ZPI/JaomJdi8rrQy/P/o0GkGsLX44dTZhYhOlNk5vhwRj7mA3jYV+azTFbkqSrGkutS0N0tpjNEAg6JQkAvPnQkNUdAwqCN2mTSC7v8cFC5lqUt8i9WUXIbdIAxvt2GAL0sAh7jEFsFOShGVJkjGNWzwUUyk1cEoRjbZHO3YoZ9toBKmWtFKXPx6/n6mol7zV4dHaRhpZi1rin9TwGtQWBh+Hla3gL4PqfnaEyaKLemzivOSlrDWkQTNkrA29OWcjMLQWoTAUc0eS5C2jv3G6zsCBfTISRiCMY7EUJDmHsGRQ1ahgcgVTH7PYCRJSIXCCBKUkjpuSJjZKCUZ+E5I/Zgxuwh4b79VL/MGOh3m2M8ozKyMgBKElqScBT13xHf7tyfPoGapTrWdh0cPq7yAsjUolKEkcOoi6Q+ppbC/FC2K0EuSCkI6yyWQiosihVGjh+TE9+TZ2kNDquHTqPsVykzB0iOoeadfpK40s3CBmY98iOTdiuZVhvLjEO9c/yrLKcnyqn3M3H2ExybFxYJE0q4i0BeWY1178NLsm13H5uv0cqVfoaBv7uSwbt01xNOxjR98krdTjnsOn8q4dOznU6KOmPNOE9xv6XG3cIioYvU+nz0R0xRmJV9U0h7psDQ1eXRlkBrDbhlrutA3qFRYlzWEHmRiGTnskS5K3icoe9VGHxqhxsAxHYjLDTTorAT2lFm8oTfD+4b082i6hxTLb3QCAkuXyp7Nns2ffOs4am2QlzvLNtQ/zhr1vorGYNbErc4bCK2PBnoVR1t7boj7mYoXQKZvP77QV3nIEQtAadAw9NDaDZFSQuPX0/2nvzYMsu+o7z885d3977lvtVVmSSltJSGhBG+AxGAMyuE1j7MbB2Nge0216mWjbHe0w9tjdbRNubBqMWUyDbTxgMDBgCQQIjIS20oL2UqlW1ZZ7vsy33+2c+ePcTGk84zDEgEpC5xNRkZkvl7rvvd895/y27w/lSdrbXcKmKbN0Mk1WMj3XnS3+5mxuJzFKu06qqR7vkZVdSmcHBKsxacOHDfEeV9Dc6zPYVmcwKvA6kFUhHTMBn6yicTsCZzLmLVsfIkNScQY81Z/m7hO7Yc1Dl3NEauzD9DeZ/dyJizmlxTgcpDDl2UWZrxm/ZNYd5RmRsbRm9oENJWME5CWPrOySR0Z0LY9chBSo0HjpMsmMGI8yffGDUZ+kLumPOKR1M+5Dbx0wUu/QnKsRVBIcqcm03BQHO3NijH914T00szJnkiH+/OANRE/69Kc0pXlzrdWTMBiHwUQNBFRP5/RHXJzcBDyykoNA0B+Rm2uH18nJS6b0F2HszW/lDIYdglZOUndJag5JzfyuUfFmMzgfLcR43dwEB02bMWnFIfeN+Fo8JOhPaqpTHVp5gPu1GvElAyMOowTuuoPbF/zZgSv57ev+jlPpCA92dtDPfVqBS2c9QrtAOcdtOjQed1j/xhidrcZW42EzIsVJzXgLpCAr7qvBkMmq4hiHOy97JvNNIYq4EUzQkJUdE5RwzborNKb8XJtseVbxjAPvSjozPsoT9CYc4hFTdptMZFRqfRLtogHPN4fs0M84dXScfW87won7tuGvCUrLitIXDpCet4UHfu6THBg0QAj+xfSDfPiDN/P4uz/Efz58PTtqTQbKI/AzElewa2IFGSiqYcxItYdfTlESstRFlDNTJqolejVAC4F2NCKTKEeT9zxU6lAe6RNWY9LMjBBkKkbVM9xawviOJrXqACk1s/VltkerPLy2lTPZEK+rPc3ZvMqf7T3A+xauYCpc56bKQbYHy+S0efuNb2HpphIoyY4vZ/xeYz9P/OJH+czINL1DDYZeP8eZr23nvv/6Yf6Xd/4q7Utz9KEKceqRzsaINVPR5dcSnKfKZLMDVCbJqwokZD0PFWmieYc093ASM1Yrq5ukVzjvkk+kqHqGkhJVyhGzPWLlmezrlEJmAso5O3YsobRgvV1CZ5LGUJeHFrdy529+ht996HrUSMobrv4uB90hRqbXaVJm4v6EpOYQtBVnb4K3XnmAe+Z28orJY5wd1Nk5ucziSp0/efxK9s7Ms682z4nuCCuDMpeOnOVYc5RSkJIpSehnzNaXzdx5qenFPo1Kn+5Kidmtiyys1GnUe2RK0uuFlEsxa50Sw5U+nqPopx4awfaRJkE1QWmJF2Z4YcYg9slSh3IlZqlZNe12WtCYaXHvaz/Ffzt6JbUwxndzLqrP4QnFf/rIz7Hyk1tASUpbO3xq8WI+sO/T3HrHVaw3K+SnS/TvH+LmVx/gkvA0nxy9BLHk48YC5ToE6wqpBOWFmP50ieZ5HmOPDvA7isGwGUeGFHRmPFq7KRSfJf1xSWeLw2DYZX2PQ+2ZjPJcQjxsztyNIwnD96+QjZQYebhFtJSytrds1piyZPVCQfbqFtEFLX7pwu/wH7/6Nl51/pO8ZeR+Hu9tYW5Q575T21n97D+8eFR8P/CRP3jPRW/eTd0dsD1Y4ZHOFk4dmkJXM3ItcaRmpNFlba5GVlVmMwvNzE8ZG3EY5RYH1rIo5rsZlT+TqhYoT2xGDmSSgyuLjJ3x+oXSpDWXwbBLWnVMtLHqEY9HdLeW6M54JHWzieSBidzkF3Y5b9sCbxx5mBSXGxpPczIZZSGpM1A+s9EC40Gbg38/S39Y4vbgP/7m33D7wYvZf9kxvjF/AX3l8c3F83n9lsf56V99iGdGaxxtjqC1ZKLa5jtndtPrhhxamGCuWedMs8HpM6McOLuDpbUa5XLMsYUx2t2QrO8RlFK63RDfzxCuJksdhIQwTFlrlTm6OE43MaVYh9fGGCoNOHRqkqPdEdbbJc4eG6N1xzjHe8NcsOsMV46fxJWKjy5dyg1DhykFKfVgwOPzU4zWemwLVlnKaiynFcpOwueP7efaLSc4eXQSNZGQBgKv5eB0HMTAQQWmv64/bpwDoSH3Ja1dHt0pozDWm5Qo12UwIomWc9rbgmKGH7iJifjLXOMkpmxIKMhDl6zsMBhx0b5D3PCQwqU/XghMhJK4JmlvcxiMCTq7FaUzkny2T68TctErj9H/+AwnRZ3KVJeSn7LeKjP2zT7x7jGqJxMWr9ec965D3PKeb/H7E5dQClN2zyzRe2CYQ0EdVV/j/vkdXLL1DH1t+oFVJSeTEnV+jz0Xn6He6Jky3tGUSr1PsliivGedFEmlHBMPPKPulwujGFgz3nwSGYGbiek1WoOQvKzJIsnMeUss64hsJKPa6LN9doHtEysMhX2a35rmmisO8u0ze3jjGw5wsj/EvYs72Fpb53UzT/B0e4Jf2X0nA+Xjipy2Cgk8xclv7CAdUiglIZP4owNS7eB2JG7PzGTLKtr0FnXNveckGCXOvCgpS0zGWnkCJzaHfCcxB2ftmlJY89EcSkw5iSQPJWlJoD2TScwicxBLKkZN2RuYkr+0Jogv7jE60mY46lHyUlY6ZaqlmNVOifYgZM/IMj8/cx+ZdghlxiPdrRyY24744ghxw/TyiEySj6Y4LZfehLFHJzZ9fXlgnldWenbsjJZGzGWj9FF7z6pNu13TH6e84vn50hwSU+OAZ5FxwvPICPXkkUNaN5nXpO6YTb9kXrM8hMFkjttIcD1FVInpL5URvkIVTl95uI84XcZJNEnVIYsE17zySW45dSGPrU6Tni0ze95ZTh8fI32kzs9feQcfv/daxnatsqZ9VKiZHFun3Q2NpL2naAx16Mc+9aEeaeZQK8d02iGdQWgUCcOEwcBHC8hyh1a7hBaCPHOoN7qMlbuUwhTtaxxXMTzUpVId4EhNPRiwtbTGRLnDX2z7NgfTiEdaW5nausKDf7mfzrTivJFFVuKycSZ7Pie6w0w02uyuLPO28Xv5wpGXMXPJArsrKywmNb67tHWzhOuBkzvJhSCsxUxubdJaqOKvCZzUqGcahU1B0DK2CGYuo3IEXte0DAhlRheooHCUhDlcb/TXZJE5gAP0xyRZKEkaAqnAa4PXdOjnPv/hVV/h347dRVWarM3lYYcRR3F37HAo8djtKX717tfxv193G99Z2cPpToP/cepSXEcx+kmf5oVmxmLtGYVMYezRnDM3hkQrmsFYYZehKWnsbvHJQofetGAw7NCbMhn6oKXpTLsIYUrv3Njsixv3YloyFQnGgZF0pk3mMak4OLkgKznEQx6DcZ/OFofOFofViwVJ1WXoSEbckGjPODt7/rJJb6KC8kCFmmBNMjTb5KLqWZSWzKcNDqzsYLVTRvddCM3MPDGSIJsewYo08yA9M6YCLYqZn5K0bIJduW/ujQ1HWeaQFQJQTlpUOfiOqYKCzftSeYKs6hA3TMlsHjlktYB42GcwETIYccl9SVY2VQtJQ5NOpIyOtom8jGq9z9kzw+SuEUERAqphzOev/gj/0NlLJFNeXXuSLz51BVlospkyEeQlTXdviuwbJy1paNYugGjB9LKlVcc4VDVB0jAO22DEOGNpSRZrhXHgixMNKpDm7LGh0BxreuMug2EH7RZ9/L5Df9yjN+mbvmtXkNQE3WlJPAppzcw9XAs83KZLHgmG9zTJDleNfkUtI/Ukv/PTn2UuazCXNnjv5MO43iLf/YMrWN9pApHRCZ94e0J/W05n0pTrhkvGIXe7xs6yktgUn8t9YVpeEsgCM2s2bGbEQx5OrHESRVZycQc5eVSIXOWmjDutbvQMuzippjMd4HdyBiMevXFTbpmH0J8wM2TjcYVTSxirdWkuVlHrPkPjbXItaXci9u6c5+jnZ6kd16xerKm/apETr9zNx9/+Ib7Q3slX5y7k4vpZ7lrbw/Goyp2McOTwNLXhHqGbsdiuMmhGrHTKJJnL+tk6q50S3fkKae5A4uCERtU8XSihvUJTQhd6ExJE7ODWEuJOQDLw0JmDLMpHS5UYKTXN1Sr91KPdKnH87DgPH9/JG85/mF8b+Q4t7XJjpHgi6ZNJyWurj7OcVyjLmFPZEH89di2ylqIThwd/+6O8e+fDXP+uX2Ftsc4vvu027lnYSbcieeO2O/niV67lsjc+zQlRozHRZnCyipMISqddnLM+aUUzfK9LbwqCFQemYtxSSv2+gPZlCbJt7kMQhEsSt+2QDCsqT3vEVSAy0Ra9HKCGMrwVh9ox6E9C+ajH4Kka5VsDHnj3RzlbhxuGD3MyHuG9n/wxxh6A977jk/zxA68hiFJev+MJlj+1haxsglJnXim4/LKj3PGVy4i2dKkFMcdWRwj9jOZqhdJoj6PHpnniiZ2ct+ssVwyd5Jtze+n0AlxX0TlbwymnrKUR3cRoAwxSj24vBE/TVx6ZkuTKiCXlmQPSJHxWlmv0Uw/HVYR+SqocVltlev2AQewxXu8QZy76VIle7iF8xb7dZ1kLXbY1mvzd2k5WvrIFsbPPUqvK4wszeKWc8A9i5n+8hNuXfPLHPsx9V4X8z6t/gkHJIdjZxpvp0/J8knf7fO0b13Hjzz/K42uTJA2Ia5LWrAlQrl7ksHZpTr4toX1VTqsR0d2i8ZuCtVkTzPHXNtqqzCxZLc19KjPoTrl0tnqsnQ9Z6NDe5uInAQtXOixc79HZEtHam7Pvp45wyXVHOOrW0Pc3mDhvmbvmd/PW/Qf4ysl9/O3hK/m5XfdxaeU0R7Nxjn/y3hePg/pHH/yj91z+MzvItEPZiTnYnWLN88lyyUS1gxZw9uww1UMe6dYEt2lq2IUSZiPDbNhOYkpHg7bCGyjcvjabWRF19bomdY0QpHXPROBgM+qaliVeTyNzU+4HmM083WgahqRuNnTlgberyw2TR3ln4xnqco1TWY3Pzb2MN4w+QuSkfGdtLxkOp7++Bb+r+dB/eT9fXt/PU0uTjIx06KY+kZeysF7j1Mf2cvj8Gkv9KuOVDr6Xs9wv0+0HjA+1GR9qox0YDHxEzzELfZSjEAzXu5RLCV6Y0VmPGBnuUAkSPC9HegqtBYOBj+vm+EFG0vdJMo/BSkR7sYL2YOtEk0Hukq0GOJe1SIRkPQ9xPM0rG09xLB5nMalx660v52wU8RsX3sYtCxdzKh7m/PICO8Mlfv/u15MrSeszM0add2ZgJLrXXPy2YOIVc+gDVZJGMQolMocH7UB50ZQGuX3wuuY9RAOuEcrRjsDrKbKyyX6bXqUNR8GIWiCKnlXP9ELGDRcnNdkGJzHOk/IFYVOjHElyRQffzxkd6rDQrrE87nHJJc/Qzz1W1iuoZkCoRtBC0DzPY8dv3UfzrVfw9d11zh6cZGbbCqeaDQbjit0Ty5xfWeCuo3txSjkawdahNWLlMugEqI7HahaSaAelBd2VMolyUB7E6yFaCeKej1dOUYljnpRr7E6lDl4lQWUO/cRH+AqvkjKze5m5lTpR3TSwZ7nk+pmj3De3g+lKiwsuOcmT61P85723cHdrD4cWxrlocp7LGqf48pmLed3MkzjCRDtj7XHHyl4eXZyiP6JN77Kv8MopadenctgjHtFGEj81425MJNvcDxuOqTfQeD3jlImiT0o7RS9ZopHK9HTGQ2ZeqszNyIHN0vxUFwPOny3d0U4xPy4yi6h2zcHH39lhstpmZ2WV9TRCFv0/nquohAnHFsZ41fQhPKEYcTt84ui1lIKExShCZgLtmzIwMsnIw5L+OPitoky5UPMU2qwtUpkF24nNGBo31psjIbQjNmeibvT3mfIYszZpxxy0ZaY3+9w2HJ7i5cdJNHFDbjr6SU2QTyWMDHcYrXTpJz6pkNSqfeLYAy1I+h6Ng2ZeZBYKutsE22cXCL2M0VKXs3GV9X7E8HibTl3woYPX4G7r0eyW2DbWZKBcVpeqIMCPUlwvpxSkpkfKUUhH0+kFCAkqk3hBRn8QbLaN5bnE93Pq5QFITZY7JMohyR3S3KVR7pNkDsvzdS6YmUNpyZaoyeH2ONPl47gi57aFi5hr15CzPa6eeYZOHnDo2DTJWsjklib92CfTkrm4zni5y4MrW8m0w+7GMhdWztLUZR69dw+/cf0t3NfcgcoljqNN6VbHIw8wpf6JEUirzJmyX5ELspJx8pRvBGTcWJOWJJ0ZdzPQqR3z+1nZjIGQafExh7AQXNOemXsoM3P4z4Zy/vSiv0fBpoO6nHf5YmcLu70VrgklX+0FxBWfmtfnZH+E/cOneXJpiuAzQ3SmTal3WtegJM39Oa3dEq8t8dcpxEsEaVWYtbJlWiNk8uxzdZIiG9cz2dKgba7Vjc3+lvsSWdirFoIsMr21WWSc78GICXgINgSXirVzUVCeV/QmHLRn+mKVD0uvkZSOu/QnFcGqxF+DN910L0Nul5rT4zNnrmClWyY/VEX74NQTCBSq4+F2JMmI+T2ZmcCl8orAVwpeX+MUpXxeXxdiheY5i9y0FLhFa4BxiszaYtYf48yiRRGUMH8XWfT4FxUSeSDIipLBrAzRjg6zw8tMl1rEyqWVBewcXSVyM1Z7JVZbZYJ6xlZ/lb3hHL/1p7/E0BOCaMkE2gZTOdGcRGnJ5AHzeofLhXK0YxxGkRkbchKz5yHZ7G02a6tZG8LV3FR0bKyFG2sjpgpF+YLyYo7yjTMb1yVpWRROmxHtiofMa+t2Bf2ZnHRImbJX7ZJFmqHPlbjyHY9w9Og0lad84i0pV06foOH2+PryPt77vtfwhfYltK9KcZd8VEmRB1A97FE55tCf1vhr0rjRmbELLQV+q1j7Mwjaujhfgd9VxbVLkzQoAnvmoGxKrWWii7J1M+dXKIoyaJN8SCvGRkvLOVkkGYwasa2koQn3tNg3OY8jNUSK1IdKFNMdGAG4lVaF6LBHuK5Y36t59Ma/5oP3XsWR+jA3NZ5iSdVJtMvdt1/EwZ/+EO975koz5mpQppP6tDoRWgvK9YHRwuu7iFgaVX0B+AqlzN6NZ5wzUc0QpRyvnJKnJiApfYUaOLilDJWbe49Ekq+EUM4REnZPLrM8X6c83uPV+w5yTfUI14Qw4bg8nXY5lg0z4bb44vrLuDg6TVUm3N7Zx8FHd5BXFMdu/iivmd7P7429ict//nGW7xrH39/h4OGtBLWYjz92AyOvm+fRe/YQTXVpHx0ymhi72sSDAO2Ykm0nEYA0ehQdD93yGYxrvCVT9gmgL+iSDTyzJpY0QkmymiJ6xsPpmXFt4ZyLdiFpCLy9LdJuwOSrznBiuswHHrqKV+19kn9YNa1Hx0sVVDvgtmg3Sd+nWu1z4Mk9DD1hhAr9VgbK44brHue1lz7EgdXtnFgb5vptx3imNcy/ueRbrFBFR4qu49DWAal0iXOPKEhJMhevmtDrBXR7IVGYsrhcM9l2oFbpk2QuWguy1KVe7ROFCe2i5DdXkpFGlzh10Qji1GPQCtHA+Gibdhww6Ptm1KMEsRLQdl2S2GN2dImlfpW7bv4U/3PhAobKfd4xezefffQKepNDZBXN3T/zx9x84J0sXr8TIoWz6HH9pYeY69bw6wkLN5W58F8e46t3XoYuKaMuPJagEodgxSFaFmhtnGvlgrfi4bXNBu63jPqvVEUF0XoxE9U3vpWTaPKoSD4UYoDKh5VrcjQSb00SrpqWgZOtIQ4d2kaSuey9+hmWuhXetOMRjvdH+cM9n+cVM4c5OJjh/U+8kvFqhyOfOPDicVDf+8E/es8Fb55lLS0RODm33HEFTiOhFKTUwgEz5XXOduokExm0fZyeQOQCryfxOqaUxBwSTYbN65mmfO2Kzb643Be4PYVTDLXPo2IRLDYBc0B+dsNDFqWIymxoSc1sYFoaZbP+pGLvrnlmy4tcFS2iUDgi5kBvJzPRGjPeKpGbspxWeeaBLQyGJHd84jKWvzSK+okenqtY7ZQZKvX5d7Pf4H2vv4sPnLmUhbUq82eHWV8rkxyvkmYuXVx6qU9nvUSl3kcFCpU5VOp98lySa8kg8ej1AhDQWyrRXisR4+A4mihISVPXlKr1faRnmsDHxlvURnrkEvaPn0FLwU3nP8VIqccbdz3CqXiY0+sNWrLC5dVnGPJ6HK/U+NkdD3L3+m7+zZbbyaSHKxRdFZKXBe084Jdv/hp3nt5LKiVCapymR/2YYqVfI2lghlJv9O/1il6p4tAnFEYsptiEs1BuCiY5icJJi42pyGptCEeIQvnU2SixlEYkROZGECL3jS0Ea5reuMTtgtzdQwh42cQpjq6O4UYZc6t1ci0pRwmDxKNywsGNjfDK3o81ufrGJ3i6Pc6Fu08zEbWpRTFzj03SOdzgzvYO9u6aJ1EOO+pNZqtLzA1qZC4Q5uSpQ547xD0fJ8xRbX/TQxG+QjiafOASDQ8QgXFydd/0FCHB9XO0kujMOHPNs3VU4pJpieqYmbgHD24nHnicXh3CreT8ya7Pcmd3L7ef2YtG8Nuzf8+ReNKUS+IxEbbIkOTaYSpsceC750OUQ8eDUo4X5ASllDgOyENFuGwOOk4CXs84nRuKbU5mPspUF05ZET0PzCHQ7Rd9VYAKC+fUMffnZvZqQ6jEEaZ/U5rgQx6aQ6vIjfPWm1FMzTTpJAEjoZnjW/Njji+NMFLt4TmKHMG1o8foqJDT6TBvnvouX77t2mJAvFEVxNWgBBRzCJ1UbKqVeoXSnek1NQIgblI4OMr0UJkKALFZVsmGQxo5m+uIeX7FGpXpzdJFudFjJk2W1qxDxvkYjGq80QHVKCZX5o/0Bz5Z7uAHGQoBSjB2b05adRj7hzMQVTl2ZJpTqyN0qoKp4Rbr3YitvzUgfUOODHKumDmJ42lcqSgFKfiKHMlwrUe7G9HrB5TChHoUM0g9HKeI/AsQUlMtD9gytE4nCQj8nCRxybUk9LLNHr1cOfS7AYPMHAKcMKeThpxebbCqytT8Ae8ee5JvdrcxVury0Olt5Epy5tvbOBOF7JheYT0NyLRxNrcPNYncjC9/9zIe+rE/46ud3QwFfYbdLlfXjvGN7iyx73Pi5DhiKSCJPZzTAcFaEcTKzMGfQuDIyYwjJpR5rWUGpaXc2OjAlIk6CcXoIOPACg1e4ThkkckcpmWBCiAZ1mRVTVrT5FMxb77sId5UW+F4pphwzP1bkj63dye5uWLGHezxcg7lPg6ad47fyR989md4x/V3cM/oBP5Rn3jMKH56bdj1kZOs7R8ys5E903udh8W9tuHMeRTOnClP9ruauPasfSKKTHIons1mAU5mnADlmZ9xC9sOWtr0EPa0ySh7hVDSmiJoZqRVo2Tc35XgrjmIgcvkfQmDUY+sbOz6xy5/mJ4KOJWMMBT0ObQ6Tl7PUbGLjHKkY/pb/XmvqMIQm/Ncndj828iCbmQL3aK3nY33xjN7tJMYBd7cl+RlI0S3sa5Q9K+aOcXmfd0MJnnm9ct9YwdpVZDWoDrVoeSl7CitsJZGSBcW2lV8N2ek1KOdBOwbnscRmt/+9pt56hc/zB8uXUm4ImjNmuCqUBKvK+ANq/B0ibxoSzCBVDZH5iGKqpPYPG6CXmzOwXYyNqtR0siUp2+8ThttFHqQOxlTAAAQO0lEQVRDLKmYvel3dfE8jZ34LV0E1gUykWTDGfu2zDG/XkN2XaJFQfiyFnNxlSxzCRZcrrr4kBHMm3qML86Ms35kCNXITClwNYNIEext00tCc/jtmGswCqHGHoUy16NdUeyjxR5edTbXf7OfqGL9NP2qTsKmGJ4q9CQ2qhvywAg9uYXCexaatghRnCGSYajPtEmVS+hmNHslRqtdXKnwvYxaGNPuh9QedWnOOmRTKZ9738v52L9/P64HX1raz/bSKruiJc7Uy8xJyd2ndrHYrhLnDs2FGnQ9ZCkj6fpkiZmkwEYJbyVDemY/14mD7LrIREDsmN79jmdsoGjZIJOovgsOuIHp73eHYiqlmK3Da0ih2Tqxwkipyy9N3sFrSgkAT6ddHDS7vT4X+S4ncwhkhicyXls+yUeOXMPsrz3Adb9+hP9+4U/z9pvu5O+//nL8G1eoBglbJ1a5ZvI4R+7fwUq7YoRzFiJkamwyGfioSCELrYGkYVpORCpw+4K0Ydp9nNh8LbRAr3vgPlutklU0wYoZsyO0+buDvTGZNKXC+WpAVs9ZP13nf73+Dl6++yi3zl/EwWMzrKgI6Wj+xxs/wS1fvo7fv/nTnM2HqDb6iNtL5JHDiZ+SDMahV3Z59fCTfOHI5ebM6WkcqbnnY1dy8TVHObQyjtYSpCZRLp3YJ83N3O/ANWW9COj1QgD8ICPwTG9pknqo3CGPXQaphyhGzGSZg+fl5FqilCRJXIQwir65kvh+RjlIqUQx62fqiDBHueYskLd8Ltgyx9ZSkyujY3zg2DV4Xk4sfHQASzoCV/PXd1xP9X6fb/7aH/ORp6+BoZT5QZVcSbJHGgQnfJbHHbZuWyYopWwbX6VR7rPaL5FLSVrXuAOJ15F4i+7mrPC0WrRY1UVRuQK9GehNmvOLKCrEhIZ4WCNTgds39/PQ42b8oUw3gpcCf01SWgAZO3RG4TuX/xXXlRb5dm+K9/7Vv+BWNUujMuB0u8FSq0Lzc996cTmooz95Gdc1jpBrBzGW4Xs5C2s1BrnHdKVFFKWM1TssdsuIvoPXNdG5oGmiq2HTROc2NlgtRRFZNVkbmUO4HJv5mYMMr5vhxgCmTE+7JtK40cAP5tCY+6anzji70J/QcEGHcGTATHWdcb/DNv8UoRAoFG8aeprH4nGWshp7gwV6BDz9zV34bcXiZT5rF3gMKoJaeUDkZ5xcHuK0HuEPj17JrqEVhAM37DrMmbRGZbpD5kEQZPS7gVnsfGVUfMOMbrNE3vVJOubgqjMTKRZhDpmk8N/oD3zTOxC7lGsDsswhGXj0Y5/WulE1PTw3QV+bEq+63+f2ufNZbNbwvJxLRs5yJh6mp3wOr43xwNJ21tMI5bvMDersipZ4rDvD9UNHePQv9vN1byfuqos71Wd0qEOvAq0Zo65aPiuJVszmWVrUmyqNWUng94xjuTE6QDumvC4rmRtGYMqBg/WsEP0oDveR2HRwTDmpyaCmFUlSM1nxtGRuRKQp4+ptUYzPrNGLfZSUuK5irNJleaWGcBVhkDI+0kbcWyItSzODc0fGk39yCXM7XFYGZSI/5YbhwzzhjLLl/EUSR7K4VmN9pYwONQee2UGqHLQWbBtdY61TQimJ9JSZldXo44Y5ldoA6ZoxM8LVJD0PP8zJMwc3ygirMXluBkBnfQ/pK0qlBKeUMT6+TrsVMbmlSbcf4J/xyUYy9uxY4MrhkzwZT1OSCY3SgCjI+I3xo3ylPUPVT9hdXiaSKbl2uOXsRYyXOvSqkk4ckOcS2fLIXOMYq0pOnkvIJe7ALExuT2+qRIbrCqlM5YH2zBgYJzZRToHAb2U4/WxTcMgInTzb5wnmvds4kGrHROa0a94vBKQVQXcrxJMKHSgSx8zarAUxnsxxpeLk6oiZcSmg7KdcUj+DJzK+NL+fuWyI/gi0uhHkwvS7hRoRmlmOIpd4bRMxdHtGXdMdaNzEHI6d1IwN0e5Gv5T5hzR9YzJRyDQ3IlHphvNpDpZCGQd9w4E1QTNp5lp6shhtUfSHTZlZeLLoh/EchSOVUfY+W8OtpKY6wlWUHzU9hMsvH2L1VQMGDYGqKJLcoZv6+H6Oc3PCartEFGScWhtCOpr5tRqtXkQc+yglzWatJCqXpJlLZxCgtMlG9zoBed9DaUGSuXSSgCyTaC3RWpggmZLEAzPWwnEUrqeoRAmVIOG84UVm60v8+q5vsrXSZEdpBU+u8Y31C5kb1Okonz2jK2TTKa3VCtvGVukpDyGM2vX8U+Pcd+OneSwq8XA8BlLw8MoWpsotRtwOu0ZXCJ2MQ50xooke6UqI1zKlkDhQPqvxikBYWjbvh99W+N0i4941Im0yNYdkr7ehBIsZaVQMKc8DiSyCF5s2WQW3b9Q4wx1tfnbfgywnVXxvkVCkTBfzOAGuiZr0VMITScak6/K1zjSO0PzewZ8knO5y1zN7EM+UAEFeMtFq5QuaL2ugPSjNC0rzxobCVb2ZdTNiO+b/2BB/2igTT+qSvCSKvn+zxz03m5+W5GYQ19vIanmiqFYwwcE0Mr240VJKb8KjO+kyGCsykMW1ylTQeMs8K+0Kbs9kRK/YdYzVrMJ6FpHh8PiJrQhXo1IHBfhFCWRS12gEbkfi9cAdQLiqN522jXtvQ7kd/p+BLK+TIwc5QmncXlZUVrHZvyowQbONe9KUC8tNheM8EKQVQW8aBmMa1cioFmXpjtRETsZEqU1f+2TKwZWKWhizt7rAuNfiv+67jb9q7eRo2KC1VkWmgnw8JR/KSMswWIsonypmW/fAb5vnaAJi5n1Gm+CqcikqhAR5VDhvmckuel1V/MxGRYksgmOFgrEWpCXzvueBeQ+9LsTDJqBpZuJCPJbjNRLWkogsddAIulMwuHWMXl3iTPfJEo/X73uQq8OTXP2dd3Lvyz7H38jttFfLJhvU80AJZiaarIgADfhNU93kxOBvZEsz8AbFPqDM3iBUUSVDEdxLTHmvTIxIpZMUN4w2gUyhioxxbpIO2jFZ443gRB4Uznsdujty8kjhlDIiLyNwM4bCPiUv4fidO8hGMjw3Rzqa9EyZPISZSxdwvhnyyBWjpJiA73SwjkIwEvQ40hsnFg7njS2yHkd4pRTlGw0BNXAQfQdChQwLoatEQttk3WTHqGxDIYKIEUGkmqEzIwhnXjyz/6tcmKo3Jcw6nAQsrVe5dvo419aP8nQ8ReTMczwT7PMlAsVAaz7d3sH7n3olV48dZ02VKMkunzp+Ff/yD5/id//L23nif/swf754MaeWh0nnyujhjJPrDa4dO87dnW38uxtv455Te8y9lRUKvE1JsGz2JrdrSu9l36F8xpwBvLYkaBbrzIgiXBKU5jE92HNmL02G9GZCwonNWuEteubryT6se7zpFQ/QrTp8++gs1WrM0S/MEg9rao0+106f4In+DPnbj/PFsddxmgoXT51l9Z5xhIaJP7mfBz52C7/79Vex2CjTTCIGaxGr/RJ/uf8T/HV4Ma+eOsTA8ckdYaYnOIr1TonAz4hTj/7AK8ShTBA27XukiWv6UYE49vD8ImGghDmHpS5oQeBn5lyEIOn5ZJmpkFN9FyfMWWuX8LycXuJTbfTxoozBeohXS6iUYuregNvaexC/Xmb2bWd5aGELW2trLD01xvCeJr1mxGP//kNc8tlfJxzvEUYpkZ9y/ugipa0dlhqu6d29Z4LOcpn5foX1Y0O4q65RkG6Y8XPO4NmqmqRmsttZ2axBwZoZmeZ2zfoQrJnqxv64ud+c2Kwj2jfVJf1J6G0ztt47LzFna0cgrl5ndO8qf3rBZ/h2f4bHkxrtPKKyu8U3L/0SI8EztP0yl4+f4q4/P/jiUfEVQrSBQ+f6OiyW55FRYPlcX4TF8jxh7d3yUsPavOWlhLV3y/fKdq312D/3Q+7zcSXfA4e+F8lhi+VHBSHEA9bmLS8VrL1bXmpYm7e8lLD2bvlBI8/1BVgsFovFYrFYLBaLxQLWQbVYLBaLxWKxWCwWywuEF4qD+s82y1osP2JYm7e8lLD2bnmpYW3e8lLC2rvlB8oLQiTJYrFYLBaLxWKxWCyWF0oG1WKxWCwWi8VisVgsL3HOuYMqhHitEOKQEOKIEOI3z/X1WCw/CIQQJ4QQjwkhHhZCPFA8NiyE+LoQ4nDxcah4XAgh3l/cA48KIS4/t1dvsfzzCCE+LoRYFEI8/pzHvm8bF0L8QvHzh4UQv3AunovF8s/xT9j7e4QQZ4p1/mEhxOue873fKuz9kBDiNc953J55LC8KhBBbhRDfEkI8KYR4Qgjx7uJxu85bfuicUwdVCOEAHwR+AtgH/KwQYt+5vCaL5QfIK7XW+58jvf6bwO1a61ng9uJrMPY/W/z7ZeBDz/uVWizfP58AXvuPHvu+bFwIMQz8DnAV8HLgdzYOOxbLC4xP8P+2d4D3Fev8fq31rQDFOeatwIXF7/yZEMKxZx7Li4wM+A9a633A1cC7Cnu167zlh865zqC+HDiitT6mtU6ATwM3n+Nrslh+WNwMfLL4/JPATz3n8b/UhnuBhhBi6lxcoMXyvaK1vgNY/UcPf782/hrg61rrVa11E/g6/99OgMVyTvkn7P2f4mbg01rrWGt9HDiCOe/YM4/lRYPWek5r/VDxeRs4CMxg13nL88C5dlBngFPP+fp08ZjF8mJHA18TQjwohPjl4rEJrfVc8fk8MFF8bu8Dy48K36+NW9u3vNj510U548efkxWy9m75kUIIsQO4DLgPu85bngfOtYNqsfyocp3W+nJMycu7hBA3PPeb2shnWwlty48s1sYtLwE+BOwG9gNzwB+f28uxWH7wCCEqwN8B/1Zr3Xru9+w6b/lhca4d1DPA1ud8vaV4zGJ5UaO1PlN8XAS+gCntWtgo3S0+LhY/bu8Dy48K36+NW9u3vGjRWi9orXOttQI+ilnnwdq75UcEIYSHcU4/pbX+fPGwXectP3TOtYN6PzArhNgphPAxogJfOsfXZLH8/0IIURZCVDc+B34ceBxj2xvqdb8A/F/F518C3l4o4F0NrD+nfMZieTHx/dr4bcCPCyGGivLIHy8es1he8PwjrYA3YdZ5MPb+ViFEIITYiRGNOYA981heRAghBPAXwEGt9X9/zrfsOm/5oeOey/9ca50JIf41xlAd4ONa6yfO5TVZLD8AJoAvmLUdF/gbrfVXhRD3A38rhPhF4BngLcXP3wq8DiOk0QPe8fxfssXy/SGE+D+Bm4BRIcRpjErjf+P7sHGt9aoQ4v/AHNwBfk9r/b0K0Vgszxv/hL3fJITYjylxPAH8CoDW+gkhxN8CT2KUUN+ltc6Lv2PPPJYXC68A/hXwmBDi4eKx/4Rd5y3PA8KUj1ssFovFYrFYLBaLxXJuOdclvhaLxWKxWCwWi8VisQDWQbVYLBaLxWKxWCwWywsE66BaLBaLxWKxWCwWi+UFgXVQLRaLxWKxWCwWi8XygsA6qBaLxWKxWCwWi8VieUFgHVSLxWKxWCwWi8VisbwgsA6qxWKxWCwWi8VisVheEFgH1WKxWCwWi8VisVgsLwj+b8igKtKwaMzyAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "layer_names = []\n", + "for layer in model.layers[:9]:\n", + " layer_names.append(layer.name)\n", + "images_per_row = 16\n", + "\n", + "# Get CONV layers only\n", + "conv_layer_names = []\n", + "for layer_name in layer_names:\n", + " if 'conv2d' in layer_name:\n", + " conv_layer_names.append(layer_name)\n", + "\n", + "for layer_name, layer_activation in zip(conv_layer_names, activations):\n", + " n_features = layer_activation.shape[-1]\n", + " size = layer_activation.shape[1]\n", + " \n", + " n_cols = n_features // images_per_row\n", + " display_grid = np.zeros((size * n_cols, images_per_row * size))\n", + " \n", + " for col in range(n_cols):\n", + " for row in range(images_per_row):\n", + " channel_image = layer_activation[0,:, :,col * images_per_row + row]\n", + " \n", + " channel_image -= channel_image.mean()\n", + " channel_image /= channel_image.std()\n", + " channel_image *= 64\n", + " channel_image += 128\n", + " channel_image = np.clip(channel_image, 0, 255).astype('uint8')\n", + " display_grid[col * size : (col + 1) * size,\n", + " row * size : (row + 1) * size] = channel_image\n", + " \n", + " scale = 1. / size\n", + " plt.figure(figsize=(scale * display_grid.shape[1],\n", + " scale * display_grid.shape[0]))\n", + " plt.title(layer_name)\n", + " plt.grid(False)\n", + " plt.imshow(display_grid, aspect='auto', cmap='viridis')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Obersavations\n", + " \n", + "- You an see that the first layers act mainly as different types of edge detectors and activations retain most of the input image.\n", + "\n", + "- As we go higher up the network to the 2nd and 3rd layers we can see the activations become more abstract and harder to interpret visually. But you may notice they retain high level visual concepts such as the cat eyes or outline or even cat ears.\n", + "\n", + "- Many blank activations in the later deeper stages, this means that pattern encoded by those filters were not activated by the input image.\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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.3B Visualizing Filter Patterns - VGG16.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.3B Visualizing Filter Patterns - VGG16.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..5ec504fa4de1ec43079471d066cecc6523730cbd --- /dev/null +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.3B Visualizing Filter Patterns - VGG16.ipynb @@ -0,0 +1,269 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Displaying the Patterns Encoded By Filters'\n", + "\n", + "We are going to take a look at the VG16 Network and use gradient ascent in the input space. \n", + "\n", + "This means that, from starting with a blank image, we apply gradient descent to the value of this input image of a convnet so as maximize the response of a specific filter. \n", + "- https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/5.4-visualizing-what-convnets-learn.ipynb" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from keras.applications import VGG16\n", + "from keras import backend as K\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "model = VGG16(weights='imagenet', include_top=False)\n", + "\n", + "layer_name = 'block3_conv1'\n", + "filter_index = 0\n", + "\n", + "layer_output = model.get_layer(layer_name).output\n", + "loss = K.mean(layer_output[:, :, :, filter_index])\n", + "\n", + "# Calling gradeints returns a list of tensors of size 1\n", + "# Therefore we only keep the first element\n", + "grads = K.gradients(loss, model.input)[0]\n", + "\n", + "# We at 0.00001 to ensure we don't divide by 0\n", + "grads /= (K.sqrt(K.mean(K.square(grads))) + 1e-5)\n", + "\n", + "iterate = K.function([model.input], [loss, grads])\n", + "\n", + "loss_value, grads_value = iterate([np.zeros((1, 150, 150, 3))])\n", + "\n", + "# We start with a blank gray image with some noise\n", + "input_img_data = np.random.random((1, 150, 150, 3)) * 20 + 128.\n", + "\n", + "# Size of each gradient step \n", + "step = 1.\n", + "\n", + "# We run for 40 steps\n", + "for i in range(40):\n", + " # Calculates the loss and gradient values \n", + " loss_value, grads_value = iterate([input_img_data])\n", + " \n", + " # Adjusts the input image in the direction that maximizes loss\n", + " input_img_data += grads_value * step" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Helper function that converts a tensor into an image\n", + "def deprocess_image(x):\n", + " x -= x.mean()\n", + " x /= (x.std() + 1e-5)\n", + " x *= 0.1\n", + " x += 0.5\n", + " x = np.clip(x, 0, 1)\n", + " x *= 255\n", + " x = np.clip(x, 0, 255).astype('uint8')\n", + " return x" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### A function that generates the filters visualizations" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def generate_pattern(layer_name, filter_index, size=150):\n", + " layer_output = model.get_layer(layer_name).output\n", + " loss = K.mean(layer_output[:, :, :, filter_index])\n", + " \n", + " grads = K.gradients(loss, model.input)[0]\n", + " grads /= (K.sqrt(K.mean(K.square(grads))) + 1e-5)\n", + " iterate = K.function([model.input], [loss, grads])\n", + " input_img_data = np.random.random((1, size, size, 3)) * 20 + 128.\n", + " \n", + " step = 1.\n", + " \n", + " for i in range(40):\n", + " loss_value, grads_value = iterate([input_img_data])\n", + " input_img_data += grads_value * step\n", + " img = input_img_data[0]\n", + " \n", + " return deprocess_image(img)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Finally, plotting the filter pattern that the zeroth channel in layer block3_conv1 responds to maximally" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(generate_pattern('block3_conv1', 1))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "layer_name = 'block1_conv1'\n", + "size = 64\n", + "margin = 5\n", + "\n", + "results = np.zeros((8 * size + 7 * margin, 8 * size + 7 * margin, 3))\n", + "\n", + "for i in range(8):\n", + " for j in range(8):\n", + " filter_img = generate_pattern(layer_name, i + (j * 8), size=size)\n", + " horizontal_start = i * size + i * margin\n", + " horizontal_end = horizontal_start + size\n", + " vertical_start = j * size + j * margin\n", + " vertical_end = vertical_start + size\n", + " results[horizontal_start: horizontal_end,\n", + " vertical_start: vertical_end, :] = filter_img\n", + " \n", + "plt.figure(figsize=(20, 20))\n", + "plt.imshow(results)" + ] + }, + { + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.4 Heat Map Visualizations of Class Activation.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.4 Heat Map Visualizations of Class Activation.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..27360707cc38c013974d0fb8c104d2c349996628 --- /dev/null +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.4 Heat Map Visualizations of Class Activation.ipynb @@ -0,0 +1,277 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualizing Heatmaps of Class Activation\n", + "\n", + "Heatmaps of class activations are very helpful in identifying which parts of an image led the CNN to the final classification. It becomes very important when analyzing misclassified data.\n", + "\n", + "We are going to use an implementation of Class Activation Map (CAM) that was used in the paper, [**\"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization\"**](https://arxiv.org/abs/1610.02391)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Loading VGG16 with pretrained weights" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using TensorFlow backend.\n" + ] + } + ], + "source": [ + "from keras.applications import VGG16\n", + "from keras import backend as K\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from keras.preprocessing import image\n", + "from keras.applications.vgg16 import preprocess_input, decode_predictions\n", + "\n", + "model = VGG16(weights='imagenet')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Loading our test image of a Tiger" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "img_path = '/home/deeplearningcv/DeepLearningCV/images/tiger2.jpg'\n", + "\n", + "img1 = image.load_img(img_path)\n", + "plt.imshow(img1);\n", + "\n", + "img = image.load_img(img_path, target_size=(224, 224))\n", + "\n", + "x = image.img_to_array(img)\n", + "x = np.expand_dims(x, axis=0)\n", + "x = preprocess_input(x)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Getting our VGG16 ImageNet Prediction for the input image" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Predicted: [('n02129604', 'tiger', 0.74897724), ('n02123159', 'tiger_cat', 0.25051445), ('n02128925', 'jaguar', 0.00031675558)]\n" + ] + } + ], + "source": [ + "preds = model.predict(x)\n", + "print('Predicted:', decode_predictions(preds, top=3)[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Getting the class index" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "292" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.argmax(preds[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Output the feature map of the block5_conv3 layer, the last convolutional layer in VGG16" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "tiger_output = model.output[:, 292]\n", + "last_conv_layer = model.get_layer('block5_conv3')\n", + "\n", + "# Gradients of the Tiger class wrt to the block5_conv3 filer\n", + "grads = K.gradients(tiger_output, last_conv_layer.output)[0]\n", + "\n", + "# Each entry is the mean intensity of the gradient over a specific feature-map channel \n", + "pooled_grads = K.mean(grads, axis=(0, 1, 2))\n", + "\n", + "# Accesses the values we just defined given our sample image\n", + "iterate = K.function([model.input], [pooled_grads, last_conv_layer.output[0]])\n", + "\n", + "# Values of pooled_grads_value, conv_layer_output_value given our input image\n", + "pooled_grads_value, conv_layer_output_value = iterate([x])\n", + "\n", + "# We multiply each channel in the feature-map array by the 'importance' \n", + "# of this channel regarding the input image \n", + "for i in range(512):\n", + " #channel-wise mean of the resulting feature map is the Heatmap of the CAM\n", + " conv_layer_output_value[:, :, i] *= pooled_grads_value[i]\n", + "\n", + "heatmap = np.mean(conv_layer_output_value, axis=-1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ploting out Heat-Map" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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d1XIg2L5a0iWSrogpzm469HbwPQPzW20HoAIt3QrH9hpJN0j6XEQcaO+QANSl1dvB/6ukhZLW237K9vc6PE4AFWj1dvB3dGAsAGrGmYoACgIBQEEgAChaOsrQMksT/dNekn3k8m0v5Np3d6fqJw/kDqiMj49Pv9BU3Pp7J+W//phMzp0xOZGrn+P8qU+2Xrz1P2e0GGsIAAoCAUBBIAAoCAQABYEAoCAQABQEAoCCQABQEAgACgIBQEEgACgIBAAFgQCgIBAAFAQCgMJTzKDe/mb2XkkvTbHIMZLeqGg49J9d/efy115F/5Mi4mPTLVRpIEzH9saIGKL/3Os/l7/22dD/IDYZABQEAoBitgXCOvrP2f5z+WufDf0lzbJ9CADqNdvWEADUiEAAUBAIAAoCAUBBIAAo/heRrnE6Rdpu5QAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "heatmap = np.maximum(heatmap, 0)\n", + "heatmap /= np.max(heatmap)\n", + "plt.matshow(heatmap)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using OpenCV to Overlay the heatmap onto our input image" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import cv2\n", + "\n", + "img = cv2.imread(img_path)\n", + "heatmap = cv2.resize(heatmap, (img.shape[1], img.shape[0]))\n", + "heatmap = np.uint8(255 * heatmap)\n", + "heatmap = cv2.applyColorMap(heatmap, cv2.COLORMAP_JET)\n", + "superimposed_img = heatmap * 0.4 + img\n", + "\n", + "save_img_path = '/home/deeplearningcv/DeepLearningCV/images/tiger_cam.jpg'\n", + "\n", + "cv2.imwrite(save_img_path, superimposed_img)\n", + "\n", + "img1 = image.load_img(save_img_path)\n", + "plt.imshow(img1);" + ] + } + ], + "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": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.srt b/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.srt new file mode 100644 index 0000000000000000000000000000000000000000..3c461debb4028e31bcd5779922f1d9a9e65b2e96 --- /dev/null +++ b/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/1. Introduction to Visualizing What CNNs 'see' & Filter Visualizations.srt @@ -0,0 +1,55 @@ +1 +00:00:00,670 --> 00:00:07,410 +Hi and welcome to Chapter 9 where we take a look at what CNN's actually see and how to do some amazing + +2 +00:00:07,410 --> 00:00:09,050 +film visualizations. + +3 +00:00:09,170 --> 00:00:11,210 +So let's look at the contents of this chapter. + +4 +00:00:12,280 --> 00:00:17,050 +So basically we are going to do four things in the chapter we're going to look at Activision maximisation + +5 +00:00:17,170 --> 00:00:22,010 +using Chris's visualization tool kit and that produces visuals like this. + +6 +00:00:22,030 --> 00:00:27,340 +This is how CNN actually perceives the digit one based on the data set. + +7 +00:00:27,370 --> 00:00:33,580 +Next we do saliency maps and class activation maps that produces visuals like this tiddley. + +8 +00:00:33,610 --> 00:00:37,940 +We look at filter visualizations and that produces some cool filters like this. + +9 +00:00:37,940 --> 00:00:39,450 +This here's a low level filter. + +10 +00:00:39,520 --> 00:00:42,690 +And this is a high level sort of a cat image here. + +11 +00:00:42,700 --> 00:00:48,460 +And lastly we look at heat map visualizations of course activation basically this tells us what part + +12 +00:00:48,460 --> 00:00:53,770 +of an image activated filters like what part of the image was not network responding to the most. + +13 +00:00:54,010 --> 00:00:58,420 +It's very helpful in analyzing how our CNN's perceive the images. + +14 +00:00:58,420 --> 00:01:00,220 +So let's get started with 9.1. diff --git a/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/2. Saliency Maps & Class Activation Maps.srt b/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/2. Saliency Maps & Class Activation Maps.srt new file mode 100644 index 0000000000000000000000000000000000000000..a383148bb226b51688a3d50730e74b1bd4b071a7 --- /dev/null +++ b/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/2. Saliency Maps & Class Activation Maps.srt @@ -0,0 +1,367 @@ +1 +00:00:00,390 --> 00:00:07,110 +Hi and welcome to Section 9.1 one where we take a look at activities activation maximisation using Chris's + +2 +00:00:07,110 --> 00:00:10,010 +visualization toolkit. + +3 +00:00:10,050 --> 00:00:15,390 +So basically what does your CNN think a specific object class looks like. + +4 +00:00:15,390 --> 00:00:20,850 +These are examples of basically hard amnestied of said look looks we have many different types of twos + +5 +00:00:20,850 --> 00:00:23,050 +fours five sevens it's nines. + +6 +00:00:23,130 --> 00:00:28,140 +So after treating a scene in 2000s examples of an image how does it actually perceive what. + +7 +00:00:28,550 --> 00:00:34,470 +Let's see if one looks like so we can actually generate visuals that showed us and these are called + +8 +00:00:34,530 --> 00:00:39,450 +Class activation visualizations activation visualizations sure. + +9 +00:00:39,510 --> 00:00:42,810 +Successive convolutional has transformed the input. + +10 +00:00:42,960 --> 00:00:49,170 +We do this by visualizing intermediate activations in the intermediate convolution activations which + +11 +00:00:49,170 --> 00:00:50,420 +display the feature maps. + +12 +00:00:50,460 --> 00:00:56,130 +Remember what feature maps were data output by various convolutional and pulling layers in the network + +13 +00:00:56,640 --> 00:00:58,090 +given a certain input. + +14 +00:00:58,090 --> 00:01:01,840 +So the output of this Liel is now called an activation. + +15 +00:01:02,310 --> 00:01:07,720 +And this shows us how an input is decomposed into different filters lived by the network. + +16 +00:01:08,220 --> 00:01:12,130 +And this will give us basically network perception's like this. + +17 +00:01:12,150 --> 00:01:17,940 +So this is a zero that was passed through and we can actually see where it was activated based on how + +18 +00:01:17,940 --> 00:01:19,550 +it classified the serum. + +19 +00:01:19,920 --> 00:01:25,590 +So you can see perceives a zero to basically be high active highly activated on these edges here and + +20 +00:01:25,590 --> 00:01:27,430 +these lines here. + +21 +00:01:27,540 --> 00:01:29,260 +Similarly this is a one on one. + +22 +00:01:29,280 --> 00:01:32,370 +Basically you can see the conks of different tilts of one. + +23 +00:01:32,460 --> 00:01:37,440 +Some people maybe have been slanted this way some people may have slanted this way but generally it's + +24 +00:01:37,440 --> 00:01:40,950 +a high activation in the center here for the digital one. + +25 +00:01:41,010 --> 00:01:45,380 +What you do with something being here here here or here or here. + +26 +00:01:45,620 --> 00:01:47,300 +So what are we looking at here. + +27 +00:01:47,780 --> 00:01:51,920 +We are generating an input image and maximizes the filter output activations. + +28 +00:01:52,150 --> 00:01:58,880 +So we are computing this activation maximisation loss over the input differential of that I should say + +29 +00:01:59,630 --> 00:02:05,270 +and using that it update the input image activation Maxima vision loss. + +30 +00:02:05,270 --> 00:02:11,900 +Simply put small values for large filter activations we are minimizing losses during descent traditions + +31 +00:02:12,290 --> 00:02:17,160 +and this allows us to understand what sort of input patterns activity a particular filter. + +32 +00:02:17,480 --> 00:02:23,540 +For example there could be an eye an eyeful to that activity for the presence of an eye in an input + +33 +00:02:23,540 --> 00:02:24,120 +image. + +34 +00:02:25,520 --> 00:02:32,020 +So this is the best way to conceptualize how a scene and perceives it to visualize densely or visualisations + +35 +00:02:35,450 --> 00:02:41,360 +So these are basically are some of the class divisions Activision maxim maximisation visualisations + +36 +00:02:41,900 --> 00:02:48,020 +from the MLS data set to have zero one two tree he can basically tell this is a four five six seven + +37 +00:02:48,080 --> 00:02:52,580 +eight nine so you can see it is actually quite well defined. + +38 +00:02:52,680 --> 00:02:56,800 +Six basically has a lot of variation for these definitely have some variation. + +39 +00:02:56,810 --> 00:03:01,730 +Five is a bit as well Suddens not that much but are some physically different starts of the 7. + +40 +00:03:01,730 --> 00:03:08,270 +Similarly for the nines tree you can see some outlane ones sort of all over the place but generally + +41 +00:03:08,270 --> 00:03:10,770 +like a X but in this direction. + +42 +00:03:11,120 --> 00:03:12,410 +So this is pretty cool. + +43 +00:03:12,710 --> 00:03:17,670 +So now let's move on to what I put on that book to actually see how we create these visualizations. + +44 +00:03:19,480 --> 00:03:23,220 +OK so let's take a look at a visualization chapter here which is Chapter 9. + +45 +00:03:23,280 --> 00:03:31,550 +You know I put on folders and let's open the first one 9.1 which is activation maximisation using curus + +46 +00:03:31,700 --> 00:03:37,370 +visualization to fit a lot of this code was borrowed and manipulated from the official Cara's documentation + +47 +00:03:37,370 --> 00:03:38,050 +here. + +48 +00:03:38,240 --> 00:03:42,260 +So please feel free to visit us link and explode a code on your own. + +49 +00:03:42,320 --> 00:03:46,600 +There is sometimes a lot more comments but a lot more theoretical and a bit difficult to follow if you're + +50 +00:03:46,610 --> 00:03:47,320 +a beginner. + +51 +00:03:47,570 --> 00:03:51,680 +So what I'm going to do I'm just going to explain it at a very high level what's happening. + +52 +00:03:51,680 --> 00:03:57,230 +So basically we doing it on the amnestied asset activities activation maximisation. + +53 +00:03:57,260 --> 00:04:01,320 +So let's just run the embassy to set for one epoch which I've already done here. + +54 +00:04:01,430 --> 00:04:04,710 +One gives us a fairly decent accuracy at 9 8. + +55 +00:04:04,850 --> 00:04:09,160 +Sorry 90 percent which is very good with a simple CNN here. + +56 +00:04:09,950 --> 00:04:11,560 +And there's some visualization here. + +57 +00:04:11,600 --> 00:04:16,370 +So to visualize the vision visualize using curse we use Davis library. + +58 +00:04:16,410 --> 00:04:18,080 +Now we had to install the separately. + +59 +00:04:18,090 --> 00:04:20,680 +Doesn't come as part of this. + +60 +00:04:20,690 --> 00:04:24,690 +It's a separate package also maintained by Chris but it's different. + +61 +00:04:25,040 --> 00:04:27,730 +So we import the stuff we need here. + +62 +00:04:28,340 --> 00:04:34,850 +And what we do we use this utility to search for it layer by Index Name and Alternatively we can specify + +63 +00:04:34,910 --> 00:04:38,380 +that index and that corresponds minus 1 corresponds to Lasley. + +64 +00:04:38,660 --> 00:04:44,210 +But we just find a layer here just last layer and then we swap it out from the soft Max with a linear + +65 +00:04:44,310 --> 00:04:45,300 +layer. + +66 +00:04:45,830 --> 00:04:50,350 +And then what we do this is the output node we want to maximize here. + +67 +00:04:50,660 --> 00:04:55,710 +So what we do we just basically specify a filter and a model and the lead we want to maximize here. + +68 +00:04:56,120 --> 00:04:57,910 +And we just showed image. + +69 +00:04:58,490 --> 00:05:03,860 +So this is our first basically input prediction here of what the network perceives as a zero. + +70 +00:05:04,030 --> 00:05:05,680 +OK so let's move on. + +71 +00:05:05,780 --> 00:05:07,890 +So it's not as clear as we had hoped. + +72 +00:05:08,150 --> 00:05:10,820 +But how about how do we improve this visualization. + +73 +00:05:11,180 --> 00:05:13,370 +What if we specify an input range. + +74 +00:05:13,380 --> 00:05:14,140 +All right. + +75 +00:05:14,150 --> 00:05:19,700 +So in the same visualization activation model here this line we can now specify in poetry and chair + +76 +00:05:19,700 --> 00:05:21,370 +of zero to 1. + +77 +00:05:21,860 --> 00:05:27,300 +And this takes a while to run because it actually passes different values in and out to produce a visualization + +78 +00:05:27,860 --> 00:05:30,340 +but it runs fairly quickly. + +79 +00:05:30,360 --> 00:05:34,030 +And when do it here because I don't want to wait for this to load again. + +80 +00:05:34,230 --> 00:05:36,070 +Well let's show you the final output. + +81 +00:05:36,260 --> 00:05:38,250 +And which is this here. + +82 +00:05:38,570 --> 00:05:39,310 +All right. + +83 +00:05:39,620 --> 00:05:44,290 +So as you can see that is a lot clearer than that. + +84 +00:05:44,330 --> 00:05:49,290 +So what we can do now is that we can do it for all classes in every inch. + +85 +00:05:49,340 --> 00:05:51,490 +So basically we can this passed this variable here. + +86 +00:05:51,530 --> 00:05:55,100 +This is an array we have making making from 0 to 9. + +87 +00:05:55,430 --> 00:06:01,460 +And basically we just passed up at itx here into that field indices to get to basically the class we + +88 +00:06:01,460 --> 00:06:06,980 +want and by running this loop we generate all these different images which I've shown you in the presentation + +89 +00:06:06,980 --> 00:06:08,710 +slides previously. + +90 +00:06:08,750 --> 00:06:13,810 +So this is visqueen that perception of these things here based on the class activations. + +91 +00:06:15,490 --> 00:06:16,050 +All right. + +92 +00:06:16,090 --> 00:06:17,520 +So that concludes this chapter. diff --git a/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/3. Saliency Maps & Class Activation Maps.srt b/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/3. Saliency Maps & Class Activation Maps.srt new file mode 100644 index 0000000000000000000000000000000000000000..d37a84e8f7c7a487efe19e7fac1391f6cd671b21 --- /dev/null +++ b/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/3. Saliency Maps & Class Activation Maps.srt @@ -0,0 +1,451 @@ +1 +00:00:00,480 --> 00:00:04,150 +So now let's talk about saliency maps and classic division maps. + +2 +00:00:04,170 --> 00:00:09,390 +Now in the previous section you would have noticed actually refer to Activision maps as class activation + +3 +00:00:09,390 --> 00:00:11,580 +maps and they're kind of the same thing. + +4 +00:00:11,580 --> 00:00:15,730 +However there are different types of class activation maps which will come across in this chapter. + +5 +00:00:15,780 --> 00:00:20,790 +So let's get into it so fiercely What is saliency And why is it important. + +6 +00:00:20,880 --> 00:00:23,570 +So now suppose that all the training images of a bid. + +7 +00:00:23,760 --> 00:00:26,400 +Let's assume we're looking at Safar or something different. + +8 +00:00:26,640 --> 00:00:31,450 +So in a world class there's a remedy is a specific class an airplane and horse class. + +9 +00:00:31,470 --> 00:00:36,610 +Now imagine we have images of the big fast and a lot of them contain a tree with leaves. + +10 +00:00:36,630 --> 00:00:37,500 +How do we know what it is. + +11 +00:00:37,500 --> 00:00:43,560 +CNN is using the bedroom that related pixels as opposed to other features such as a tree leaves an image. + +12 +00:00:43,570 --> 00:00:48,270 +So how do we know it's perceiving the bird to be actually be a bird and not actually looking at the + +13 +00:00:48,270 --> 00:00:49,280 +trees. + +14 +00:00:49,320 --> 00:00:53,240 +So this actually happens much more often than you think and you shouldn't be surprised. + +15 +00:00:53,550 --> 00:00:54,000 +OK. + +16 +00:00:54,120 --> 00:00:56,610 +Especially if you have a small data set. + +17 +00:00:56,820 --> 00:01:02,630 +So since the maps were first introduced into people deep inside convolutional networks visualizing image + +18 +00:01:02,630 --> 00:01:08,180 +classification models and sequencing maps and clicked link here to take a look and the idea is simple. + +19 +00:01:08,190 --> 00:01:13,820 +Basically we compute degree of output category with respect to image input. + +20 +00:01:13,830 --> 00:01:19,420 +This should tell us how the upper category value changes with respect to small changes in input pixels. + +21 +00:01:19,470 --> 00:01:25,200 +So let's think about it a bit and all the positive values integrity and tell us that a small change + +22 +00:01:25,200 --> 00:01:27,860 +that pixel with increased output value. + +23 +00:01:28,110 --> 00:01:34,290 +Hence visualizing these gradients which are the same shape as image should provide some intuition of + +24 +00:01:34,290 --> 00:01:35,400 +the attention. + +25 +00:01:35,490 --> 00:01:40,950 +So this is a bit of a mouthful is actually not that simple but essentially what it's telling us is how + +26 +00:01:40,950 --> 00:01:42,790 +to know what we're looking at here. + +27 +00:01:42,900 --> 00:01:43,400 +OK. + +28 +00:01:44,680 --> 00:01:48,690 +So these are some examples of sealants visuals and how to interpret these. + +29 +00:01:48,700 --> 00:01:53,360 +And basically the two types are basically based on different activation functions in different Ogger + +30 +00:01:53,450 --> 00:01:54,900 +ordered him to generate them. + +31 +00:01:55,060 --> 00:02:00,850 +But it basically tells you this is basically the area of focus that it was looking at to detect zero. + +32 +00:02:01,120 --> 00:02:01,770 +OK. + +33 +00:02:02,080 --> 00:02:04,870 +Based on this type of algorithm here. + +34 +00:02:05,050 --> 00:02:07,100 +So what about class activation maps. + +35 +00:02:07,120 --> 00:02:12,650 +Now class activation maps or grad chem is another way of visualizing attention over the input. + +36 +00:02:13,060 --> 00:02:18,250 +Instead of using Grilli and with respect to the output which was what saliency did grad kameezes the + +37 +00:02:18,250 --> 00:02:23,090 +penultimate or pre DENSELOW convolutional the output instead. + +38 +00:02:23,200 --> 00:02:30,160 +OK so the intuition is to use nearest kindlier to utilize the spatial information that completely gets + +39 +00:02:30,160 --> 00:02:37,150 +lost in the densities in Christophers we use grad chem as it's considered it's considered more general + +40 +00:02:37,240 --> 00:02:38,770 +than class division maps. + +41 +00:02:39,040 --> 00:02:44,430 +So let's take a look at what that can actually as grad comes and beleft silly unseasoned right. + +42 +00:02:44,500 --> 00:02:47,290 +So you can see this is a grad cam visualizations here. + +43 +00:02:47,890 --> 00:02:50,330 +This is a vanilla grad cam guided and really. + +44 +00:02:50,680 --> 00:02:56,050 +Now I don't expect all to understand what these all these are basically types of different ways to generate + +45 +00:02:56,050 --> 00:02:59,520 +digraph complots based on information in that paper. + +46 +00:03:00,040 --> 00:03:07,090 +In this case it actually appears and so providing some information in my opinion based because looked + +47 +00:03:07,090 --> 00:03:12,100 +at the penultimate explicitly which has 12 by 12 spatial resolution which is a relatively large converted + +48 +00:03:12,100 --> 00:03:12,610 +inputs. + +49 +00:03:12,640 --> 00:03:18,130 +OK that's actually why it is likely that a convolutional Liya hasn't captured enough high level of mission + +50 +00:03:18,610 --> 00:03:21,190 +and most of that is likely within the dense for. + +51 +00:03:21,710 --> 00:03:27,840 +OK so let's take a look at how we actually generate these images these visualizations here. + +52 +00:03:30,620 --> 00:03:30,970 +OK. + +53 +00:03:31,000 --> 00:03:37,580 +So let's open our saliency maps that book. + +54 +00:03:37,750 --> 00:03:38,650 +And here we go. + +55 +00:03:38,960 --> 00:03:44,260 +So basically this is the source code for these for this section here. + +56 +00:03:44,260 --> 00:03:47,030 +Again we have to run this again and we're going to do it again. + +57 +00:03:47,050 --> 00:03:51,390 +But that died for Wanny Park already and images are saved in this book. + +58 +00:03:51,430 --> 00:03:53,300 +So this is what it looks like here. + +59 +00:03:53,470 --> 00:03:58,090 +All right the first saliency visualization which we have done here and I'm not going to go through this + +60 +00:03:58,090 --> 00:04:00,620 +could add too much detail. + +61 +00:04:00,760 --> 00:04:04,010 +You can look at the comments here because it's going to take quite long to go through every line. + +62 +00:04:04,300 --> 00:04:07,270 +But please look at the comments if you want to understand it a bit more. + +63 +00:04:07,590 --> 00:04:10,050 +But this is where we swapped the cellphone actually of Linnea. + +64 +00:04:10,060 --> 00:04:11,860 +This is how we looked into the exact model. + +65 +00:04:11,890 --> 00:04:14,670 +It's very similar to the last one that you just saw. + +66 +00:04:14,890 --> 00:04:18,720 +But instead we use visualize saliency similar stuff here. + +67 +00:04:18,730 --> 00:04:24,780 +And we have a seat and put this vote just to keep the stuff constant and use different type of color + +68 +00:04:24,820 --> 00:04:26,600 +format here in. + +69 +00:04:27,100 --> 00:04:33,280 +And we get this kind of messy but it's supposed to be as you know you've seen before in the privacy + +70 +00:04:33,280 --> 00:04:33,670 +thing. + +71 +00:04:33,670 --> 00:04:41,050 +Previous slides we had guided and really now can read us here to use guided saliency we need to set + +72 +00:04:41,050 --> 00:04:46,480 +back proper modify modify it to get it right for rectifies he didn't see or because the DNC. + +73 +00:04:46,480 --> 00:04:47,440 +We use a backdrop. + +74 +00:04:47,460 --> 00:04:48,800 +What if I view. + +75 +00:04:49,150 --> 00:04:53,020 +That isn't to explain what he or she probably looked at people if you actually want to understand what + +76 +00:04:53,020 --> 00:04:54,650 +difference actually is. + +77 +00:04:54,730 --> 00:05:00,280 +This is guided and this is real you can actually see your board provide a lot of information and it + +78 +00:05:00,280 --> 00:05:04,210 +would look a lot better than a vanilla city and see what we've done here. + +79 +00:05:06,810 --> 00:05:11,530 +Can also visualize and negative really see the parts of imaged that country Britain negatively. + +80 +00:05:11,580 --> 00:05:15,030 +But he's undergrad Kam grad modifier the get. + +81 +00:05:15,420 --> 00:05:17,760 +So this is actually a nice visualization as well. + +82 +00:05:19,660 --> 00:05:20,940 +So doing it for all. + +83 +00:05:21,130 --> 00:05:24,550 +Basically all the numbers and data sets of 10 classes. + +84 +00:05:24,550 --> 00:05:28,000 +It's an example of the number at the end but basically we send in. + +85 +00:05:28,360 --> 00:05:35,710 +And this is how what was actually responding to and saliency where I looked at is quite helpful to actually + +86 +00:05:35,710 --> 00:05:43,120 +understand what you and you are that that CNN is basically responding to so what about this. + +87 +00:05:43,120 --> 00:05:44,610 +All right grad can be located. + +88 +00:05:44,650 --> 00:05:48,920 +This is basically vanilla basically normal saliency we've done here. + +89 +00:05:48,920 --> 00:05:50,600 +And what about grad camp saliency. + +90 +00:05:50,690 --> 00:05:52,340 +Let's take a look. + +91 +00:05:52,900 --> 00:05:54,260 +It basically is a do grad cam. + +92 +00:05:54,280 --> 00:05:59,240 +We actually just have to change basically what we look at in and lastly here. + +93 +00:05:59,460 --> 00:06:03,760 +So the only additional detail we do is compare to Seeley and see is happen ultimately here. + +94 +00:06:03,930 --> 00:06:04,590 +All right. + +95 +00:06:04,830 --> 00:06:06,450 +So that's done in this code here. + +96 +00:06:06,630 --> 00:06:09,610 +And you can look at you if you want to see exactly what's done. + +97 +00:06:09,660 --> 00:06:13,120 +I'm not going to do it because it takes a bit of a long time. + +98 +00:06:13,200 --> 00:06:16,670 +So I want to actually shoot it visualisations that it generates here. + +99 +00:06:17,100 --> 00:06:24,120 +So this is what we see here with Broadcom and it actually looks decent although I think previously we + +100 +00:06:24,120 --> 00:06:28,830 +actually had more information more relevant information before because it could take a look at it. + +101 +00:06:28,830 --> 00:06:32,910 +It looks a bit splotchy here whereas this one was more gradual and more granular + +102 +00:06:35,790 --> 00:06:38,370 +and that was actually because of the max pool by the way. + +103 +00:06:38,700 --> 00:06:45,570 +That's why it's not as detailed and fine tuned as the one above. + +104 +00:06:45,740 --> 00:06:52,450 +So we can actually do some visualization here without swapping soft Max but we swap soft Marcelina. + +105 +00:06:52,760 --> 00:06:56,040 +So let's take a look and see what it actually looks. + +106 +00:06:56,080 --> 00:06:57,500 +This is actually quite nice. + +107 +00:06:59,330 --> 00:06:59,910 +Very good. + +108 +00:07:00,960 --> 00:07:02,300 +However it doesn't work as well. + +109 +00:07:02,340 --> 00:07:05,730 +And I'll tell you why the visuals look quite nice. + +110 +00:07:05,730 --> 00:07:09,810 +However they don't actually provide that much information as to what we're looking at when not looking + +111 +00:07:09,810 --> 00:07:16,170 +at basically it just highlights an imprint of the inputs here and you can read why the reason is that + +112 +00:07:16,170 --> 00:07:21,590 +maximizing an output No it can be done by minimizing what's self-finance is where in that way. + +113 +00:07:21,590 --> 00:07:24,330 +It is it only activation that depends on the nodo puts into live. diff --git a/9. 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Filter Visualizations.srt @@ -0,0 +1,563 @@ +1 +00:00:00,600 --> 00:00:05,760 +Not we're But take a look at films of visualizations which are actually very important in understanding + +2 +00:00:06,210 --> 00:00:11,040 +what you're seeing and what the actual thought is pick up and actually activate on. + +3 +00:00:11,100 --> 00:00:12,890 +So let's take a look at this chapter. + +4 +00:00:13,650 --> 00:00:19,650 +So we just spent some time visualizing how CNN's perceived classes via Activision maximisation CNC maps + +5 +00:00:19,680 --> 00:00:22,870 +and class exhibitions which is also called Cad Cam. + +6 +00:00:22,890 --> 00:00:29,320 +However what if we wanted to inspect individual filters as you remember low level filters that is convolutional + +7 +00:00:29,330 --> 00:00:30,850 +layers at the beginning of a lot work. + +8 +00:00:30,920 --> 00:00:36,720 +These here they live in low level features and well high level features high level filters basically + +9 +00:00:36,780 --> 00:00:40,120 +in spatial patterns in the data. + +10 +00:00:40,140 --> 00:00:43,200 +That means like this one can pick up and see an eye. + +11 +00:00:43,530 --> 00:00:48,030 +And this might actually pick up the two eyes and nose literally out if I was looking at face detection + +12 +00:00:49,130 --> 00:00:54,440 +so by visualizing filters we can actually conceptualize what our CNN has learned. + +13 +00:00:54,540 --> 00:00:58,580 +This is because humans are centrally a representation of Visual Concepts. + +14 +00:00:58,620 --> 00:01:03,220 +So what that means is that imagine we have a model that is trained on say face detection. + +15 +00:01:03,540 --> 00:01:04,410 +And what is CNN. + +16 +00:01:04,410 --> 00:01:09,270 +Basically stores it has filters it's like different representations of a face. + +17 +00:01:09,270 --> 00:01:13,890 +So that's one cool way to actually think about how CNN filters actually work. + +18 +00:01:13,950 --> 00:01:20,970 +So we're going to perform the following filter convolution layer visualizations visualizing the intermediate + +19 +00:01:20,970 --> 00:01:22,350 +convolutional the outputs. + +20 +00:01:22,350 --> 00:01:29,760 +This is this is used to CBD to see how successive compositionally is transforming the inputs. + +21 +00:01:29,760 --> 00:01:34,620 +What this means is that we're going to look at it starting from a lowlier what is actually to look at + +22 +00:01:34,680 --> 00:01:40,250 +and then go up the chain to the upper layers visualizing individual convolutional. + +23 +00:01:40,260 --> 00:01:46,670 +Lethal tools to see what pattern or concept or color or what blob they're responding to is quite useful. + +24 +00:01:47,400 --> 00:01:51,240 +And actually in the next chapter we're going to look at maps of classic divisions. + +25 +00:01:51,240 --> 00:01:55,650 +This is very useful in understanding which areas of an image correspond to a certain class. + +26 +00:01:55,650 --> 00:01:58,670 +So we'll talk more about that in the next chapter after this one. + +27 +00:01:59,400 --> 00:02:01,810 +So this is basically some filters of extracted. + +28 +00:02:01,860 --> 00:02:04,070 +And we're going to run this in the book now. + +29 +00:02:04,380 --> 00:02:07,170 +But I wanted to show you that this is a low level filter's here. + +30 +00:02:07,170 --> 00:02:13,350 +So from this you can see it's a of looking at this is a cat face and you see it looks at like edge detection. + +31 +00:02:13,350 --> 00:02:16,200 +Or maybe it's like corresponds to different settings. + +32 +00:02:16,290 --> 00:02:19,180 +I say eyes look quite clear here. + +33 +00:02:19,720 --> 00:02:24,590 +It is nothing that we can actually pick out that looks that spatial yet that's a kid in middle age. + +34 +00:02:24,610 --> 00:02:28,900 +Now in middle age it does two things I want you to know to look at this one. + +35 +00:02:28,920 --> 00:02:32,910 +This is a film that clearly clearly corresponds to two eyes. + +36 +00:02:32,940 --> 00:02:36,070 +This one it corresponds in more like a good nose shape. + +37 +00:02:36,110 --> 00:02:38,180 +This one corresponds to a definite outline. + +38 +00:02:38,220 --> 00:02:42,990 +Also with the eyes however you've noticed a lot of filters that are switched off here and these are + +39 +00:02:42,990 --> 00:02:46,550 +filters that input image of we use here just didn't activate on. + +40 +00:02:46,920 --> 00:02:48,330 +So basically what happens. + +41 +00:02:48,340 --> 00:02:49,830 +But remember we used to. + +42 +00:02:50,070 --> 00:02:51,210 +And all those things. + +43 +00:02:51,320 --> 00:02:55,710 +None of the activations in these filters here turned on from our input image. + +44 +00:02:55,740 --> 00:02:58,230 +That's just the nature of CNN's work. + +45 +00:02:58,320 --> 00:03:03,310 +Every filter outputs and this is a Lasley a here. + +46 +00:03:03,320 --> 00:03:06,550 +Lastly you can see it's pretty similar to this however. + +47 +00:03:06,560 --> 00:03:10,670 +But more defined in what is looking at spatial patterns. + +48 +00:03:10,810 --> 00:03:16,090 +This is actually quite nice because you can see this one starts with eyes here then you see the eyes + +49 +00:03:16,090 --> 00:03:18,670 +here and you can see a lot more clear here. + +50 +00:03:19,090 --> 00:03:22,810 +So this is a spatial patterns to switch on on this leaf. + +51 +00:03:23,500 --> 00:03:27,950 +And I had left this picture here to see pictures from Viji low level filters. + +52 +00:03:28,000 --> 00:03:29,280 +It doesn't tell us much. + +53 +00:03:29,290 --> 00:03:31,070 +This looks like noise however. + +54 +00:03:31,090 --> 00:03:37,390 +Basically it's a pattern that this field is responding to in Viji Amber Viji is an image Annetta which + +55 +00:03:37,390 --> 00:03:38,620 +we'll talk about later on. + +56 +00:03:38,920 --> 00:03:44,790 +But basically for now we'll just do a simple filter visualization on VD as well as our cat. + +57 +00:03:45,240 --> 00:03:45,650 +OK. + +58 +00:03:45,730 --> 00:03:52,310 +So let's start with this point 9.3 visualizing Phil Tibetan's is also a 9.3 B. + +59 +00:03:52,410 --> 00:03:56,470 +Me minus go back to it which will be the visualizes and. + +60 +00:03:56,480 --> 00:03:58,010 +Phil Tibetan's in Viji. + +61 +00:03:58,020 --> 00:04:01,510 +So let's open that too as well start with this one first. + +62 +00:04:01,840 --> 00:04:07,370 +So this one of the uses of a cat with dogs classifier which is something we'll be training later on. + +63 +00:04:07,870 --> 00:04:11,390 +But basically every run it here you can feel free to run it as well. + +64 +00:04:13,590 --> 00:04:18,490 +And trains quite quickly here getting some decent accuracy actually not that distance. + +65 +00:04:18,740 --> 00:04:21,060 +In a later chapters we actually get a lot better accuracy. + +66 +00:04:21,060 --> 00:04:22,300 +You'll find out soon. + +67 +00:04:22,410 --> 00:04:27,630 +These graphs for here and this is an image that we're going to use to test this. + +68 +00:04:27,630 --> 00:04:28,540 +OK. + +69 +00:04:28,770 --> 00:04:35,220 +So this is what we saw in the slides previously and this is how we create of visualizes visualizations + +70 +00:04:35,240 --> 00:04:35,850 +now. + +71 +00:04:36,270 --> 00:04:41,580 +So we create a model of the tensor and a list and an A list of our pittances. + +72 +00:04:41,670 --> 00:04:42,300 +OK. + +73 +00:04:42,840 --> 00:04:44,880 +So basically we get to the outputs here. + +74 +00:04:44,940 --> 00:04:49,110 +So for now and Chris we can actually do something pretty cool. + +75 +00:04:49,320 --> 00:04:53,750 +We can do a layer that output for all these here what level of what is. + +76 +00:04:53,840 --> 00:04:55,840 +Is that it extracts really here. + +77 +00:04:56,190 --> 00:04:59,970 +So what we're doing here in this this is a list comprehension and put on by the way. + +78 +00:05:00,310 --> 00:05:00,620 +OK. + +79 +00:05:00,660 --> 00:05:02,010 +But what we're doing effectively. + +80 +00:05:02,010 --> 00:05:08,190 +Because I don't expect agenesis line of code on mesir of pite and gooroo but on a group that's fairly + +81 +00:05:08,190 --> 00:05:15,090 +good at what we're doing here is extracting the top Italy as from what a lot leads into basically this + +82 +00:05:15,090 --> 00:05:16,480 +file called the upper tier. + +83 +00:05:16,500 --> 00:05:17,390 +Sorry it's. + +84 +00:05:17,640 --> 00:05:19,690 +Chris is easily as model lovely's. + +85 +00:05:19,880 --> 00:05:22,980 +This is where we get our ideas from and what we're doing. + +86 +00:05:23,010 --> 00:05:27,060 +We're feeding mostly our puts into this here is activation model. + +87 +00:05:27,240 --> 00:05:30,840 +So this creates a model that returns these outputs given the model input. + +88 +00:05:30,920 --> 00:05:37,380 +That's our activation model here in MVNO image through our models prediction function and we can actually + +89 +00:05:37,380 --> 00:05:38,680 +just print what it looks like. + +90 +00:05:38,690 --> 00:05:40,360 +This is the shape of the activation here. + +91 +00:05:40,920 --> 00:05:43,290 +And now let's take a look at the first channel here. + +92 +00:05:43,740 --> 00:05:45,690 +This is the first filter visualization here. + +93 +00:05:45,750 --> 00:05:46,560 +It's quite cool. + +94 +00:05:46,560 --> 00:05:51,960 +You can see it's sort of an edge of textural whisker detector maybe especially for ones in destruction + +95 +00:05:51,990 --> 00:05:53,950 +because these are very faint. + +96 +00:05:53,980 --> 00:05:59,650 +This angle but this angle basically almost the opposite is a reflection of an angle you can see it is + +97 +00:05:59,640 --> 00:06:00,470 +a quite defined. + +98 +00:06:00,540 --> 00:06:03,260 +So that's the edge detectors looking for here. + +99 +00:06:03,750 --> 00:06:09,060 +Also get a seven channel you can see basically it's more for a generalized edge detector now because + +100 +00:06:09,060 --> 00:06:13,000 +it is be defined eyes nose whiskers outline. + +101 +00:06:13,110 --> 00:06:14,260 +That's quite cool. + +102 +00:06:14,580 --> 00:06:18,740 +So now let's plot all 22 of these. + +103 +00:06:18,770 --> 00:06:22,660 +This is what we saw in the slide and can expand it here. + +104 +00:06:22,700 --> 00:06:23,560 +Look at it inspect. + +105 +00:06:23,570 --> 00:06:25,610 +Each one is actually quite cool to look at. + +106 +00:06:26,980 --> 00:06:27,920 +Let's get going. + +107 +00:06:29,190 --> 00:06:35,570 +And it was nice that we had a plot this is in this form here and this has been discovered here that + +108 +00:06:35,580 --> 00:06:37,430 +I've actually gotten from somewhere else. + +109 +00:06:37,430 --> 00:06:41,100 +I believe the link is on top and you just make sure no it's not. + +110 +00:06:41,100 --> 00:06:44,420 +But it's the same link as we were talking about from previous lights. + +111 +00:06:44,440 --> 00:06:46,330 +I'll leave it in for a final look. + +112 +00:06:46,680 --> 00:06:50,700 +But this basically gives us all these filters all these roles here. + +113 +00:06:51,150 --> 00:06:53,470 +So we have all the filters in this convolutional layer. + +114 +00:06:53,490 --> 00:07:02,420 +This and this and we basically see the progression from low level mid-level to high level visit some + +115 +00:07:02,430 --> 00:07:06,580 +observations you can see this should be cat. + +116 +00:07:06,600 --> 00:07:08,120 +Where is a cat in a cat. + +117 +00:07:09,160 --> 00:07:10,790 +Fixing it for you guys. + +118 +00:07:11,720 --> 00:07:16,820 +Well I should say that while I did borrow and take this code from somewhere else I manipulated it quite + +119 +00:07:16,820 --> 00:07:18,520 +a bit to fit our models here. + +120 +00:07:18,800 --> 00:07:20,120 +And you can reuse this no. + +121 +00:07:20,130 --> 00:07:21,490 +Any model going forward. + +122 +00:07:23,910 --> 00:07:27,170 +So feel free to enjoy these visualizations. + +123 +00:07:27,190 --> 00:07:29,290 +Now let's move on to this one here. + +124 +00:07:29,290 --> 00:07:29,910 +All right. + +125 +00:07:30,130 --> 00:07:32,670 +This is visualizing for the patterns in Fiji. + +126 +00:07:32,850 --> 00:07:34,990 +We're going to use Pretorian models later on. + +127 +00:07:35,050 --> 00:07:41,170 +So basically for now it has run this code and to just basically get an idea of what filters look like + +128 +00:07:41,650 --> 00:07:45,150 +is not important that you understand this code just yet. + +129 +00:07:45,190 --> 00:07:45,670 +OK. + +130 +00:07:45,860 --> 00:07:50,670 +You can read the comments and read readers these instructions and read the comments I left here. + +131 +00:07:50,670 --> 00:07:53,760 +They're busy and this is a help of functions and other functions here. + +132 +00:07:53,770 --> 00:07:56,310 +This is a filter that we specified here. + +133 +00:07:56,380 --> 00:08:01,120 +You can basically use to use this number to change the filter you want to visualize and you can use + +134 +00:08:01,120 --> 00:08:03,600 +some similar code to plot all the filters here. + +135 +00:08:03,700 --> 00:08:09,070 +It's a lesson for you guys and this is quite interesting to see because now we're actually plotting + +136 +00:08:09,610 --> 00:08:15,400 +filter filter filter plots so we can see what it detects in an image. + +137 +00:08:15,400 --> 00:08:23,020 +So basically imagine filters being little things little boxes in a neural net in a black box neural + +138 +00:08:23,020 --> 00:08:29,290 +net that are looking for specific things like in a car headlights or eyes or whiskers those sorts of + +139 +00:08:29,290 --> 00:08:30,070 +things. + +140 +00:08:30,130 --> 00:08:36,310 +And as we go from a low level low level examples to high level high level will be like the shape of + +141 +00:08:36,310 --> 00:08:41,220 +a face or the shape of a cat face with eyes nose or whiskers that sort of stuff. diff --git a/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/5. Heat Map Visualizations of Class Activations.srt b/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/5. Heat Map Visualizations of Class Activations.srt new file mode 100644 index 0000000000000000000000000000000000000000..5ac9a371e55c005c36f4b97e41334d5fcbffbaab --- /dev/null +++ b/9. What CNNs 'see' - Filter Visualizations, Heatmaps and Salience Maps/5. Heat Map Visualizations of Class Activations.srt @@ -0,0 +1,207 @@ +1 +00:00:02,260 --> 00:00:08,020 +Hi and welcome to the final chapter in the section nine point four where we take a look at my visualizations + +2 +00:00:08,020 --> 00:00:09,770 +of class activation. + +3 +00:00:10,330 --> 00:00:15,400 +So this is an example of what it looks like heat maps of classic The machines are very useful in identifying + +4 +00:00:15,790 --> 00:00:19,540 +which parts of an image lead to the scene and making the final decision. + +5 +00:00:19,540 --> 00:00:25,720 +So what I mean is that if this is an image of a tiger in basically an image not classify or an animal + +6 +00:00:25,720 --> 00:00:28,400 +classify you can use a map to see that. + +7 +00:00:28,720 --> 00:00:30,410 +It was the tiger stripes here. + +8 +00:00:30,670 --> 00:00:35,810 +It actually basically made on CNN understand that this is a tiger and not the face. + +9 +00:00:35,830 --> 00:00:40,390 +And there's probably a good reason for that because the can easily be confused with a cat or other types + +10 +00:00:40,390 --> 00:00:41,690 +of wildcats. + +11 +00:00:41,980 --> 00:00:44,600 +However these tribes are distinct tigers. + +12 +00:00:44,740 --> 00:00:49,620 +So we know we have a pretty good CNN if it's looking at tiger stripes as opposed to a face. + +13 +00:00:50,190 --> 00:00:51,590 +So let's take a look at how we do this. + +14 +00:00:51,600 --> 00:00:53,170 +No I Pitre not. + +15 +00:00:53,760 --> 00:00:54,090 +OK. + +16 +00:00:54,110 --> 00:01:00,370 +So let's load up a 9.4 heap not visualization that book close to from. + +17 +00:01:00,470 --> 00:01:07,060 +Since we're not using them and basically visualization maps you can read some of the notes I made here. + +18 +00:01:07,570 --> 00:01:09,810 +Basically we're going implement this type here. + +19 +00:01:09,820 --> 00:01:13,290 +Grad cam but I'm going to overlay it on an image. + +20 +00:01:13,420 --> 00:01:18,880 +So previously we mentioned we're using pre-trained models to develop this and this is pre-trained Viji + +21 +00:01:18,940 --> 00:01:19,810 +one image nets. + +22 +00:01:19,820 --> 00:01:24,360 +So as I said for now we haven't got too much into pre-trained models. + +23 +00:01:24,380 --> 00:01:29,610 +But so for now you just you just run this code and let me explain the rest. + +24 +00:01:29,620 --> 00:01:30,280 +OK. + +25 +00:01:30,580 --> 00:01:38,250 +So we run this code here run it ready and we loaded up a test image of a tiger and now we get inputs + +26 +00:01:38,280 --> 00:01:40,510 +here just to see what BTD predicted. + +27 +00:01:40,660 --> 00:01:48,010 +And yes it predicted 75 percent roughly probability that's a tiger and a tiger cat which is essentially + +28 +00:01:48,010 --> 00:01:54,400 +the same thing and a Jaguar which is a lot less percent but at least in the top three it's quite relevant + +29 +00:01:54,400 --> 00:01:57,440 +to this basically being a wildcat. + +30 +00:01:57,850 --> 00:02:05,620 +So then what we do is that once we have our predictions here we get the number image that is trained + +31 +00:02:05,620 --> 00:02:07,500 +on a thousand images by the way. + +32 +00:02:07,780 --> 00:02:12,850 +So 292 corresponds to Tiger being that image in the data set. + +33 +00:02:12,860 --> 00:02:15,730 +So Tiger being class to 92. + +34 +00:02:16,090 --> 00:02:17,680 +That's how we get this here. + +35 +00:02:18,070 --> 00:02:21,270 +And what we do now we put 292 here in the hour. + +36 +00:02:21,300 --> 00:02:23,790 +But part of this model to get this. + +37 +00:02:23,800 --> 00:02:29,860 +And then we just basically use that does really and dare we use that sort of add value to him and then + +38 +00:02:29,860 --> 00:02:34,390 +get the gradients of Tiger with respect to this block because convolutional block we can pretty much + +39 +00:02:34,390 --> 00:02:38,240 +look at any convolutional block you want but we're looking at this one in particular. + +40 +00:02:38,320 --> 00:02:42,250 +This is a map of this one here and run through his code. + +41 +00:02:42,250 --> 00:02:44,910 +I'm going to go through every line because it's going to take quite some time. + +42 +00:02:45,280 --> 00:02:52,090 +But basically you can run this experiment on your own get to heat map generator here and then plot or + +43 +00:02:52,210 --> 00:02:57,080 +map it out prior to get out of playing it on that image. + +44 +00:02:57,100 --> 00:02:58,540 +This is what it looks like not. + +45 +00:02:58,570 --> 00:03:00,150 +It's not fitted in that image yet. + +46 +00:03:00,190 --> 00:03:06,330 +It's just random map that chorussed the corresponding to what the input was fed into it here. + +47 +00:03:06,850 --> 00:03:09,740 +And then we overlay it here using open sea. + +48 +00:03:10,120 --> 00:03:11,880 +And this is a quite nice visual. + +49 +00:03:11,950 --> 00:03:19,930 +We now see that this map does old high highly heated area if you want to consider a heat map works being + +50 +00:03:19,930 --> 00:03:20,880 +right here. + +51 +00:03:21,340 --> 00:03:26,200 +So it was the stripes that actually made this model figure out that it was a tiger. + +52 +00:03:26,350 --> 00:03:27,070 +As I said before.