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Transfer learning with VGG19 using torchvision #169

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merged 11 commits into from
Feb 25, 2024

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@sitamgithub-MSIT sitamgithub-MSIT commented Jan 2, 2024

This notebook applies transfer learning with the "ConvNet as fixed feature extractor" approach. vgg19 is the model used for the base-pretrained model.

Additional Changes Made

  • Added remarks to several different code sections.
  • Rather than placing everything in one function, distinct helper functions were implemented for training.
  • Improved interpretibility of functions by assigning corresponding document strings.
    Additionally, data augmentation and processing were addressed.

cc: @merveenoyan, @MKhalusova

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@sitamgithub-MSIT sitamgithub-MSIT changed the title Transfer learning with vgg19 using torchvision added Transfer learning with VGG19 using torchvision Jan 2, 2024
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I faced a problem while using Plotly in which the image needed to be static to display inside the notebook. To resolve this, I used a picture of my graph and created a pull request for it on huggingface-cv-org. I attempted to use other contributor images just for testing, but they were not rendering properly inside the notebook. As a solution, I placed the picture inside my working unit under the notebook folder.

@sitamgithub-MSIT
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I faced a problem while using Plotly in which the image needed to be static to display inside the notebook. To resolve this, I used a picture of my graph and created a pull request for it on huggingface-cv-org. I attempted to use other contributor images just for testing, but they were not rendering properly inside the notebook. As a solution, I placed the picture inside my working unit under the notebook folder.

Though in ReviewNB, the plotly graph is visible.

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{"cells":[{"cell_type":"markdown","metadata":{"id":"Z-lBGA1trGZh"},"source":["# **Transfer Learning and Fine-tuning**\n","\n","In this tutorial, we will learn how to classify images into different categories by using transfer learning from a pre-trained network. We have already discussed various pre-trained models and their architectures in the **\"Common Pre-Trained Models\"** section. To recap, a pre-trained model is a saved network that has already been trained on a vast dataset. Transfer learning allows us to use these learned features without having to train a large model from scratch.\n","\n","In this notebook, we will see one of our two previously covered strategies for customizing a pretrained model:\n","\n","**Feature extraction:** Take advantage of the representations that a prior network has learned to extract relevant features from new samples. To use feature maps obtained from a pre-trained model on datasets like [**Imagenet**](https://www.image-net.org/), we can easily add a new trainable classifier on top."]},{"cell_type":"markdown","metadata":{"id":"16QQmZ-zriRx"},"source":["\n","## Set-up environment\n","\n","First, we import the libraries that we'll use: **torchvision** and other helpful libraries. The [**torchvision**](https://pytorch.org/vision/stable/index.html) package consists of popular datasets, model architectures, and common image transformations for computer vision."]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.502241Z","iopub.status.busy":"2024-01-01T22:27:10.501838Z","iopub.status.idle":"2024-01-01T22:27:10.512548Z","shell.execute_reply":"2024-01-01T22:27:10.511287Z","shell.execute_reply.started":"2024-01-01T22:27:10.502208Z"},"id":"2NU0ULaJRX67","outputId":"a9d86225-0a72-4dd3-f871-d236d5f679f0","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["cuda\n"]}],"source":["# General imports\n","import os\n","import time\n","import copy\n","import numpy as np\n","import collections\n","\n","# Plotting imports\n","from PIL import Image\n","import matplotlib.pyplot as plt\n","import plotly.graph_objects as go\n","from plotly.subplots import make_subplots\n","import plotly.express as px\n","\n","# Torch imports\n","import torch\n","import torch.nn as nn\n","import torch.backends.cudnn as cudnn\n","import torch.optim as optim\n","from torch.optim.lr_scheduler import CosineAnnealingLR\n","\n","# Torchvision imports\n","import torchvision\n","from torchvision import datasets, models\n","from torchvision.transforms import v2\n","\n","# Enable CuDNN benchmark mode for improved performance on compatible GPUs\n","cudnn.benchmark = True\n","\n","# Turn on interactive mode for matplotlib\n","plt.ion()\n","\n","# selecting the available device\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","print(device)"]},{"cell_type":"markdown","metadata":{"id":"xG2iGAkKq4cy"},"source":["## Data preprocessing"]},{"cell_type":"markdown","metadata":{"id":"qlFgv5DnIJr2"},"source":["### Data download\n","\n","In this tutorial, we will be working with the well-known **CIFAR10** dataset, which features images of 10 different classes. The CIFAR-10 dataset consists of 60,000 **32x32 colour images**, with 6000 images per class. Our main objective is to train a model that can accurately classify these images. Further details about the dataset will be provided in subsequent sections.\n","\n","**Note**: You can download the data from [**this link**](https://www.cs.toronto.edu/~kriz/cifar.html). The data is available in [**🤗 Face Datasets**](https://huggingface.co/datasets/cifar10) as well. We will use the **torchvision** and **torch.utils.data** packages to load the data. You can learn more about loading images in this [**tutorial**](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)."]},{"cell_type":"markdown","metadata":{"id":"nMeZUupfSeAZ"},"source":["### Data preparation and augmentation\n","\n","Here, we focus on optimizing our dataset for training and validation purposes. To achieve this, we use PyTorch's [**transforms**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#augmentation-transforms) module to implement crucial transformations. For the training set, we employ [**resized transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#resize) and [**Autoaugment transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#autoaugment) techniques to enhance dataset diversity, which in turn promotes better model generalization. Furthermore, we apply **normalization** to pixel values for both training and validation sets, ensuring efficient neural network processing. This comprehensive data preparation step lays a strong foundation for subsequent model training and evaluation."]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:10.515341Z","iopub.status.busy":"2024-01-01T22:27:10.514943Z","iopub.status.idle":"2024-01-01T22:27:10.529807Z","shell.execute_reply":"2024-01-01T22:27:10.528923Z","shell.execute_reply.started":"2024-01-01T22:27:10.515303Z"},"id":"ATO9BaWlG-SH","trusted":true},"outputs":[],"source":["# Hyperparameters\n","batch_size = 128\n","learning_rate = 1e-4"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.531567Z","iopub.status.busy":"2024-01-01T22:27:10.531155Z","iopub.status.idle":"2024-01-01T22:27:10.541219Z","shell.execute_reply":"2024-01-01T22:27:10.540399Z","shell.execute_reply.started":"2024-01-01T22:27:10.531531Z"},"id":"zKmneetndDuQ","outputId":"535d6ea1-2f98-45f6-d859-bf1bba3e1f5f","trusted":true},"outputs":[],"source":["# Classes in CIFAR-10 dataset (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)\n","NUM_CLASSES = 10\n","# Image size for VGG19 (224x224)\n","IMAGE_SIZE = 224\n","\n","mean, std = [0.4914, 0.4822, 0.4465], [0.247, 0.243, 0.261]\n","\n","# Data transformations for training set\n","train_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.AutoAugment(policy=v2.AutoAugmentPolicy.CIFAR10),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])\n","\n","# Data transformations for validation set\n","validation_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.543844Z","iopub.status.busy":"2024-01-01T22:27:10.543556Z","iopub.status.idle":"2024-01-01T22:27:12.148539Z","shell.execute_reply":"2024-01-01T22:27:12.147519Z","shell.execute_reply.started":"2024-01-01T22:27:10.543820Z"},"id":"_xbD6GRmY2dh","outputId":"957c5070-4835-4095-81b4-6f821d65d4f3","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Files already downloaded and verified\n","Files already downloaded and verified\n"]}],"source":["# Dataset for training objectives\n","train_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=True,\n"," download=True,\n"," transform=train_transforms\n",")\n","\n","# Dataset for validation objectives\n","validation_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=False,\n"," download=True,\n"," transform=validation_transforms\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.150013Z","iopub.status.busy":"2024-01-01T22:27:12.149724Z","iopub.status.idle":"2024-01-01T22:27:12.155700Z","shell.execute_reply":"2024-01-01T22:27:12.154673Z","shell.execute_reply.started":"2024-01-01T22:27:12.149988Z"},"id":"WF5vC7MI7m7P","outputId":"6fc5b39c-a4ee-4104-babd-c39f7e0c4840","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Train dataset size: 50000\n","Validation dataset size: 10000\n"]}],"source":["# Number of images in each dataset\n","print('Train dataset size:', len(train_set))\n","print('Validation dataset size:', len(validation_set))"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:12.157207Z","iopub.status.busy":"2024-01-01T22:27:12.156816Z","iopub.status.idle":"2024-01-01T22:27:12.167666Z","shell.execute_reply":"2024-01-01T22:27:12.166592Z","shell.execute_reply.started":"2024-01-01T22:27:12.157178Z"},"id":"1iWGmNwNwLuC","trusted":true},"outputs":[],"source":["def plot_class_distribution(dataset, dataset_name):\n"," \"\"\"\n"," Print and plot the class distribution of a dataset.\n","\n"," Args:\n"," dataset (torch.utils.data.Dataset): The dataset to analyze.\n"," dataset_name (str): The name of the dataset.\n","\n"," Returns:\n"," None\n"," \"\"\"\n"," # Extract labels from the dataset\n"," labels = [y for _, y in dataset]\n","\n"," # Count the number of images per category\n"," counter = collections.Counter(labels)\n","\n"," # Print class image counter\n"," print(f\"Class Image Counter for {dataset_name} Data\")\n"," print(counter, \"\\n\")\n","\n"," # Optionally, plot the class distribution\n"," plt.bar(counter.keys(), counter.values())\n"," plt.xlabel(\"Class\")\n"," plt.ylabel(\"Number of Images\")\n"," plt.title(f\"Class Distribution for {dataset_name} Data\")\n"," plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.169217Z","iopub.status.busy":"2024-01-01T22:27:12.168888Z","iopub.status.idle":"2024-01-01T22:29:01.308185Z","shell.execute_reply":"2024-01-01T22:29:01.307152Z","shell.execute_reply.started":"2024-01-01T22:27:12.169181Z"},"id":"08oTUFv4wUMz","outputId":"6dca79f2-f07c-43d9-c797-b49dc0b446ac","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Class Image Counter for Training Data\n","Counter({6: 5000, 9: 5000, 4: 5000, 1: 5000, 2: 5000, 7: 5000, 8: 5000, 3: 5000, 5: 5000, 0: 5000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Class Image Counter for Validation Data\n","Counter({3: 1000, 8: 1000, 0: 1000, 6: 1000, 1: 1000, 9: 1000, 5: 1000, 7: 1000, 4: 1000, 2: 1000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# # Train dataset and test dataset (all classes) class distribution\n","plot_class_distribution(train_set, \"Training\")\n","plot_class_distribution(validation_set, \"Validation\")"]},{"cell_type":"markdown","metadata":{"id":"vvKljJOOOlov"},"source":["So, there are 10,000 test samples and 50,000 training samples in the dataset. Additionally, each class in the training dataset has 6,000 images, while each class in the validation dataset has 1,000 images."]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.310181Z","iopub.status.busy":"2024-01-01T22:29:01.309825Z","iopub.status.idle":"2024-01-01T22:29:01.316032Z","shell.execute_reply":"2024-01-01T22:29:01.315054Z","shell.execute_reply.started":"2024-01-01T22:29:01.310147Z"},"id":"89LWo8-V85OO","outputId":"ba27368e-682e-4b50-91be-8601dc335a91","trusted":true},"outputs":[],"source":["num_gpus = torch.cuda.device_count()\n","\n","# DataLoader for training set\n","train_loader = torch.utils.data.DataLoader(\n"," train_set,\n"," batch_size=batch_size,\n"," shuffle=True,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")\n","\n","# DataLoader for validation set\n","validation_loader = torch.utils.data.DataLoader(\n"," validation_set,\n"," batch_size=batch_size,\n"," shuffle=False,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.317713Z","iopub.status.busy":"2024-01-01T22:29:01.317262Z","iopub.status.idle":"2024-01-01T22:29:02.219656Z","shell.execute_reply":"2024-01-01T22:29:02.218671Z","shell.execute_reply.started":"2024-01-01T22:29:01.317681Z"},"id":"Cqz05rM2G2zd","outputId":"3716ce30-ff4e-4252-dd7a-73ab2f1eaf3d","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Image batch dimensions: torch.Size([128, 3, 224, 224])\n","Image label dimensions: torch.Size([128])\n"]}],"source":["# Checking the dataset\n","for images, labels in train_loader:\n"," print('Image batch dimensions:', images.shape)\n"," print('Image label dimensions:', labels.shape)\n"," break"]},{"cell_type":"markdown","metadata":{"id":"2LrtfUfqOp16"},"source":["The image batch dimensions are given as torch.Size([128, 3, 224, 224]), indicating a batch size of 128 images, each with 3 color channels (RGB), and each image having dimensions of 224x224 pixels.\n","\n","The image label dimensions are specified as torch.Size([128]), denoting the corresponding labels for the batch of 128 images. Each label is a single-dimensional tensor.\n","\n","**Note:** The initial images in the dataset were of size 32x32. However, to train the VGG19 model effectively, we need to resize the images to the size it was originally trained on, which is 224x224. Hence, we have applied the resize transformation."]},{"cell_type":"markdown","metadata":{"id":"F6D2ye4jqWAE"},"source":["### Visualize a few images\n","To better understand the data augmentations, let us visualize a few training images."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:29:02.224291Z","iopub.status.busy":"2024-01-01T22:29:02.223971Z","iopub.status.idle":"2024-01-01T22:29:02.231667Z","shell.execute_reply":"2024-01-01T22:29:02.230751Z","shell.execute_reply.started":"2024-01-01T22:29:02.224262Z"},"id":"UVKyk5mvTyrJ","trusted":true},"outputs":[],"source":["def imshow(tensor, title=None):\n"," \"\"\"\n"," Display a batch of images in a grid.\n","\n"," Args:\n"," tensor (torch.Tensor): The input tensor containing the images.\n"," title (str, optional): The title of the plot. Defaults to None.\n"," \"\"\"\n"," image = torchvision.utils.make_grid(tensor).numpy().transpose((1, 2, 0))\n","\n"," # Denormalize the image\n"," mean = np.array([0.4914, 0.4822, 0.4465])\n"," std = np.array([0.247, 0.243, 0.261])\n"," image = std * image + mean\n"," image = np.clip(image, 0, 1)\n","\n"," # Increase the plot size\n"," plt.figure(figsize=(10, 10))\n","\n"," # Plot the image\n"," plt.imshow(image)\n"," if title:\n"," plt.title(title)\n"," plt.pause(0.001) # pause a bit so that plots are updated"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":239},"execution":{"iopub.execute_input":"2024-01-01T22:29:02.246913Z","iopub.status.busy":"2024-01-01T22:29:02.246684Z","iopub.status.idle":"2024-01-01T22:29:03.617319Z","shell.execute_reply":"2024-01-01T22:29:03.616366Z","shell.execute_reply.started":"2024-01-01T22:29:02.246892Z"},"id":"Rc15DMnPC9Xr","outputId":"fbb17653-ae4f-49b7-ecef-b477716cb4df","trusted":true},"outputs":[{"data":{"image/png":"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@merveenoyan merveenoyan Jan 3, 2024

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I think it would be better if the label and the image were side by side, also would be nice to load the image from course-assets repository


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Apologies for the delayed response! I will fix the data visualization issue.

And for the data, as I am using the Torchvision dataset, there is no need to load it from the course asset. Once the reader executes the cell, it loads it in collab. To get to your point about importing data from the course repository, I am thinking about doing that in another notebook. This chapter is primarily concerned with practical applications. So, I thought to explore torchvision data, the hugging face dataset, and custom data (which may be Kaggle data) from the course repo. In this manner, I can thus reach every potential data loading point.

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Overall content is very good, also liked that you have put explanations on top. I think what you can do to improve it even more is that you can also note down the motivation behind helper functions and maybe explain step by step what you can do and also carry some of the comments on the markdown above the cells.

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{"cells":[{"cell_type":"markdown","metadata":{"id":"Z-lBGA1trGZh"},"source":["# **Transfer Learning and Fine-tuning**\n","\n","In this tutorial, we will learn how to classify images into different categories by using transfer learning from a pre-trained network. We have already discussed various pre-trained models and their architectures in the **\"Common Pre-Trained Models\"** section. To recap, a pre-trained model is a saved network that has already been trained on a vast dataset. Transfer learning allows us to use these learned features without having to train a large model from scratch.\n","\n","In this notebook, we will see one of our two previously covered strategies for customizing a pretrained model:\n","\n","**Feature extraction:** Take advantage of the representations that a prior network has learned to extract relevant features from new samples. To use feature maps obtained from a pre-trained model on datasets like [**Imagenet**](https://www.image-net.org/), we can easily add a new trainable classifier on top."]},{"cell_type":"markdown","metadata":{"id":"16QQmZ-zriRx"},"source":["\n","## Set-up environment\n","\n","First, we import the libraries that we'll use: **torchvision** and other helpful libraries. The [**torchvision**](https://pytorch.org/vision/stable/index.html) package consists of popular datasets, model architectures, and common image transformations for computer vision."]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.502241Z","iopub.status.busy":"2024-01-01T22:27:10.501838Z","iopub.status.idle":"2024-01-01T22:27:10.512548Z","shell.execute_reply":"2024-01-01T22:27:10.511287Z","shell.execute_reply.started":"2024-01-01T22:27:10.502208Z"},"id":"2NU0ULaJRX67","outputId":"a9d86225-0a72-4dd3-f871-d236d5f679f0","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["cuda\n"]}],"source":["# General imports\n","import os\n","import time\n","import copy\n","import numpy as np\n","import collections\n","\n","# Plotting imports\n","from PIL import Image\n","import matplotlib.pyplot as plt\n","import plotly.graph_objects as go\n","from plotly.subplots import make_subplots\n","import plotly.express as px\n","\n","# Torch imports\n","import torch\n","import torch.nn as nn\n","import torch.backends.cudnn as cudnn\n","import torch.optim as optim\n","from torch.optim.lr_scheduler import CosineAnnealingLR\n","\n","# Torchvision imports\n","import torchvision\n","from torchvision import datasets, models\n","from torchvision.transforms import v2\n","\n","# Enable CuDNN benchmark mode for improved performance on compatible GPUs\n","cudnn.benchmark = True\n","\n","# Turn on interactive mode for matplotlib\n","plt.ion()\n","\n","# selecting the available device\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","print(device)"]},{"cell_type":"markdown","metadata":{"id":"xG2iGAkKq4cy"},"source":["## Data preprocessing"]},{"cell_type":"markdown","metadata":{"id":"qlFgv5DnIJr2"},"source":["### Data download\n","\n","In this tutorial, we will be working with the well-known **CIFAR10** dataset, which features images of 10 different classes. The CIFAR-10 dataset consists of 60,000 **32x32 colour images**, with 6000 images per class. Our main objective is to train a model that can accurately classify these images. Further details about the dataset will be provided in subsequent sections.\n","\n","**Note**: You can download the data from [**this link**](https://www.cs.toronto.edu/~kriz/cifar.html). The data is available in [**🤗 Face Datasets**](https://huggingface.co/datasets/cifar10) as well. We will use the **torchvision** and **torch.utils.data** packages to load the data. You can learn more about loading images in this [**tutorial**](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)."]},{"cell_type":"markdown","metadata":{"id":"nMeZUupfSeAZ"},"source":["### Data preparation and augmentation\n","\n","Here, we focus on optimizing our dataset for training and validation purposes. To achieve this, we use PyTorch's [**transforms**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#augmentation-transforms) module to implement crucial transformations. For the training set, we employ [**resized transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#resize) and [**Autoaugment transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#autoaugment) techniques to enhance dataset diversity, which in turn promotes better model generalization. Furthermore, we apply **normalization** to pixel values for both training and validation sets, ensuring efficient neural network processing. This comprehensive data preparation step lays a strong foundation for subsequent model training and evaluation."]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:10.515341Z","iopub.status.busy":"2024-01-01T22:27:10.514943Z","iopub.status.idle":"2024-01-01T22:27:10.529807Z","shell.execute_reply":"2024-01-01T22:27:10.528923Z","shell.execute_reply.started":"2024-01-01T22:27:10.515303Z"},"id":"ATO9BaWlG-SH","trusted":true},"outputs":[],"source":["# Hyperparameters\n","batch_size = 128\n","learning_rate = 1e-4"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.531567Z","iopub.status.busy":"2024-01-01T22:27:10.531155Z","iopub.status.idle":"2024-01-01T22:27:10.541219Z","shell.execute_reply":"2024-01-01T22:27:10.540399Z","shell.execute_reply.started":"2024-01-01T22:27:10.531531Z"},"id":"zKmneetndDuQ","outputId":"535d6ea1-2f98-45f6-d859-bf1bba3e1f5f","trusted":true},"outputs":[],"source":["# Classes in CIFAR-10 dataset (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)\n","NUM_CLASSES = 10\n","# Image size for VGG19 (224x224)\n","IMAGE_SIZE = 224\n","\n","mean, std = [0.4914, 0.4822, 0.4465], [0.247, 0.243, 0.261]\n","\n","# Data transformations for training set\n","train_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.AutoAugment(policy=v2.AutoAugmentPolicy.CIFAR10),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])\n","\n","# Data transformations for validation set\n","validation_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.543844Z","iopub.status.busy":"2024-01-01T22:27:10.543556Z","iopub.status.idle":"2024-01-01T22:27:12.148539Z","shell.execute_reply":"2024-01-01T22:27:12.147519Z","shell.execute_reply.started":"2024-01-01T22:27:10.543820Z"},"id":"_xbD6GRmY2dh","outputId":"957c5070-4835-4095-81b4-6f821d65d4f3","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Files already downloaded and verified\n","Files already downloaded and verified\n"]}],"source":["# Dataset for training objectives\n","train_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=True,\n"," download=True,\n"," transform=train_transforms\n",")\n","\n","# Dataset for validation objectives\n","validation_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=False,\n"," download=True,\n"," transform=validation_transforms\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.150013Z","iopub.status.busy":"2024-01-01T22:27:12.149724Z","iopub.status.idle":"2024-01-01T22:27:12.155700Z","shell.execute_reply":"2024-01-01T22:27:12.154673Z","shell.execute_reply.started":"2024-01-01T22:27:12.149988Z"},"id":"WF5vC7MI7m7P","outputId":"6fc5b39c-a4ee-4104-babd-c39f7e0c4840","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Train dataset size: 50000\n","Validation dataset size: 10000\n"]}],"source":["# Number of images in each dataset\n","print('Train dataset size:', len(train_set))\n","print('Validation dataset size:', len(validation_set))"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:12.157207Z","iopub.status.busy":"2024-01-01T22:27:12.156816Z","iopub.status.idle":"2024-01-01T22:27:12.167666Z","shell.execute_reply":"2024-01-01T22:27:12.166592Z","shell.execute_reply.started":"2024-01-01T22:27:12.157178Z"},"id":"1iWGmNwNwLuC","trusted":true},"outputs":[],"source":["def plot_class_distribution(dataset, dataset_name):\n"," \"\"\"\n"," Print and plot the class distribution of a dataset.\n","\n"," Args:\n"," dataset (torch.utils.data.Dataset): The dataset to analyze.\n"," dataset_name (str): The name of the dataset.\n","\n"," Returns:\n"," None\n"," \"\"\"\n"," # Extract labels from the dataset\n"," labels = [y for _, y in dataset]\n","\n"," # Count the number of images per category\n"," counter = collections.Counter(labels)\n","\n"," # Print class image counter\n"," print(f\"Class Image Counter for {dataset_name} Data\")\n"," print(counter, \"\\n\")\n","\n"," # Optionally, plot the class distribution\n"," plt.bar(counter.keys(), counter.values())\n"," plt.xlabel(\"Class\")\n"," plt.ylabel(\"Number of Images\")\n"," plt.title(f\"Class Distribution for {dataset_name} Data\")\n"," plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.169217Z","iopub.status.busy":"2024-01-01T22:27:12.168888Z","iopub.status.idle":"2024-01-01T22:29:01.308185Z","shell.execute_reply":"2024-01-01T22:29:01.307152Z","shell.execute_reply.started":"2024-01-01T22:27:12.169181Z"},"id":"08oTUFv4wUMz","outputId":"6dca79f2-f07c-43d9-c797-b49dc0b446ac","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Class Image Counter for Training Data\n","Counter({6: 5000, 9: 5000, 4: 5000, 1: 5000, 2: 5000, 7: 5000, 8: 5000, 3: 5000, 5: 5000, 0: 5000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Class Image Counter for Validation Data\n","Counter({3: 1000, 8: 1000, 0: 1000, 6: 1000, 1: 1000, 9: 1000, 5: 1000, 7: 1000, 4: 1000, 2: 1000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# # Train dataset and test dataset (all classes) class distribution\n","plot_class_distribution(train_set, \"Training\")\n","plot_class_distribution(validation_set, \"Validation\")"]},{"cell_type":"markdown","metadata":{"id":"vvKljJOOOlov"},"source":["So, there are 10,000 test samples and 50,000 training samples in the dataset. Additionally, each class in the training dataset has 6,000 images, while each class in the validation dataset has 1,000 images."]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.310181Z","iopub.status.busy":"2024-01-01T22:29:01.309825Z","iopub.status.idle":"2024-01-01T22:29:01.316032Z","shell.execute_reply":"2024-01-01T22:29:01.315054Z","shell.execute_reply.started":"2024-01-01T22:29:01.310147Z"},"id":"89LWo8-V85OO","outputId":"ba27368e-682e-4b50-91be-8601dc335a91","trusted":true},"outputs":[],"source":["num_gpus = torch.cuda.device_count()\n","\n","# DataLoader for training set\n","train_loader = torch.utils.data.DataLoader(\n"," train_set,\n"," batch_size=batch_size,\n"," shuffle=True,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")\n","\n","# DataLoader for validation set\n","validation_loader = torch.utils.data.DataLoader(\n"," validation_set,\n"," batch_size=batch_size,\n"," shuffle=False,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.317713Z","iopub.status.busy":"2024-01-01T22:29:01.317262Z","iopub.status.idle":"2024-01-01T22:29:02.219656Z","shell.execute_reply":"2024-01-01T22:29:02.218671Z","shell.execute_reply.started":"2024-01-01T22:29:01.317681Z"},"id":"Cqz05rM2G2zd","outputId":"3716ce30-ff4e-4252-dd7a-73ab2f1eaf3d","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Image batch dimensions: torch.Size([128, 3, 224, 224])\n","Image label dimensions: torch.Size([128])\n"]}],"source":["# Checking the dataset\n","for images, labels in train_loader:\n"," print('Image batch dimensions:', images.shape)\n"," print('Image label dimensions:', labels.shape)\n"," break"]},{"cell_type":"markdown","metadata":{"id":"2LrtfUfqOp16"},"source":["The image batch dimensions are given as torch.Size([128, 3, 224, 224]), indicating a batch size of 128 images, each with 3 color channels (RGB), and each image having dimensions of 224x224 pixels.\n","\n","The image label dimensions are specified as torch.Size([128]), denoting the corresponding labels for the batch of 128 images. Each label is a single-dimensional tensor.\n","\n","**Note:** The initial images in the dataset were of size 32x32. However, to train the VGG19 model effectively, we need to resize the images to the size it was originally trained on, which is 224x224. Hence, we have applied the resize transformation."]},{"cell_type":"markdown","metadata":{"id":"F6D2ye4jqWAE"},"source":["### Visualize a few images\n","To better understand the data augmentations, let us visualize a few training images."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:29:02.224291Z","iopub.status.busy":"2024-01-01T22:29:02.223971Z","iopub.status.idle":"2024-01-01T22:29:02.231667Z","shell.execute_reply":"2024-01-01T22:29:02.230751Z","shell.execute_reply.started":"2024-01-01T22:29:02.224262Z"},"id":"UVKyk5mvTyrJ","trusted":true},"outputs":[],"source":["def imshow(tensor, title=None):\n"," \"\"\"\n"," Display a batch of images in a grid.\n","\n"," Args:\n"," tensor (torch.Tensor): The input tensor containing the images.\n"," title (str, optional): The title of the plot. Defaults to None.\n"," \"\"\"\n"," image = torchvision.utils.make_grid(tensor).numpy().transpose((1, 2, 0))\n","\n"," # Denormalize the image\n"," mean = np.array([0.4914, 0.4822, 0.4465])\n"," std = np.array([0.247, 0.243, 0.261])\n"," image = std * image + mean\n"," image = np.clip(image, 0, 1)\n","\n"," # Increase the plot size\n"," plt.figure(figsize=(10, 10))\n","\n"," # Plot the image\n"," plt.imshow(image)\n"," if title:\n"," plt.title(title)\n"," plt.pause(0.001) # pause a bit so that plots are updated"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":239},"execution":{"iopub.execute_input":"2024-01-01T22:29:02.246913Z","iopub.status.busy":"2024-01-01T22:29:02.246684Z","iopub.status.idle":"2024-01-01T22:29:03.617319Z","shell.execute_reply":"2024-01-01T22:29:03.616366Z","shell.execute_reply.started":"2024-01-01T22:29:02.246892Z"},"id":"Rc15DMnPC9Xr","outputId":"fbb17653-ae4f-49b7-ecef-b477716cb4df","trusted":true},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAz8AAADeCAYAAAATpb75AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8WgzjOAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9efRs2VnXj7/2cE5VfaY7dHc6nam7M0joRIgGEn4RV0DAmIAslEFEvhlA4mKJTGYpuJRJF3EZXIYFThHFLETUEGVQQBCCoss5IQIRyNhJer637/AZquqcvffz++N59jmnPvd2p7tJ0na6nrvOrfpUnTpnnz0+72d4byciwla2spWtbGUrW9nKVrayla18iot/vAuwla1sZStb2cpWtrKVrWxlK58M2YKfrWxlK1vZyla2spWtbGUrTwrZgp+tbGUrW9nKVrayla1sZStPCtmCn61sZStb2cpWtrKVrWxlK08K2YKfrWxlK1vZyla2spWtbGUrTwrZgp+tbGUrW9nKVrayla1sZStPCtmCn61sZStb2cpWtrKVrWxlK08K2YKfrWxlK1vZyla2spWtbGUrTwrZgp+tbGUrW9nKVrayla1sZStPCtmCn61sZSufEvLa174W5xzOOV74whc+7Ln/9J/+U5xz/K//9b8+5nU/7/M+j8/7vM/7PZfttttu+z1d47HIr/7qr+Kc41d/9Vc/6ffeyqeu3Hbbbbz2ta/9pN7z8uXLw/h2zvEDP/ADn9T7b2UrW/nUkS342cpWtvIpIzfeeCM/9mM/xt/8m39z4/PbbruN7/me73l8CvUQ4pzjn/7Tf/qYfvt5n/d5n3Tl87FIBV8f+tCHHtPvfy919LHk7rvv5nu+53v49V//9Wu+e+1rX/uYAW8F1o+HPFHLfT05/Sy7u7v82I/9GH/n7/ydx69QW9nKVj4lJD7eBdjKVraylY+X7O7u8rVf+7Uf12v+4i/+4sf1elv5f0Puvvtuvvd7v5fbbruNF73oRY93cbbyMaRpGr72a7+WD33oQ3zbt33b412crWxlK09g2Xp+trKVrWzlYaRtW9q2fdhzVqsVpZRPUon+35dtfXxy5fj4+PEuwla2spWtPGFkC362spWtPGnl5OSEP/fn/hw33HADBwcHvPrVr+bSpUsb55zO+amhXP/iX/wL/upf/as8/elPZ2dnh6tXrwLwUz/1U7zwhS9kPp/zwhe+kH/zb/7NJ+VZPvrRj/JlX/Zl7O7u8pSnPIVv+7ZvY71eX/fc//7f/zt/7I/9Mc6cOcPOzg4vf/nL+S//5b9cc95dd93F133d13HzzTczm814wQtewD/5J/9k45yPVR8fb7nrrrv4+q//ep72tKcxm824/fbb+cZv/Ea6rgPgwQcf5A1veAO///f/fvb29jg4OOCVr3wl7373uzfK/Nmf/dkAvO51rxvySD5RIXYAP//zP8/LX/5y9vf3OTg44LM/+7P55//8nw/f/9qv/Rpf+ZVfybOe9SxmsxnPfOYz+bZv+zaWy+XGdV772teyt7fH+9//fl71qlexv7/Pn/kzf+YTUmYR4W/8jb/BM57xDHZ2dvj8z/98fuu3fuu6537gAx/gK7/yKzl//jw7Ozt8zud8Dv/u3/27a8678847+dIv/dKNfvrv//2/3+ambWUrW/mkyTbsbStb2cqTVr7pm76Js2fP8j3f8z38zu/8Dn//7/997rzzzkGhfzj563/9r9O2LW94wxtYr9e0bcsv/uIv8uVf/uXccccdvPGNb+TixYu87nWv4xnPeMYn9DmWyyVf8AVfwIc//GG++Zu/mac97Wn82I/9GL/yK79yzbm/8iu/witf+Upe/OIX893f/d147/nRH/1R/sgf+SP82q/9Gi95yUsAuO+++/icz/kcnHN80zd9EzfddBM///M/z9d//ddz9epVvvVbv/Vj1sfHW+6++25e8pKXcPnyZV7/+tfz/Oc/n7vuuouf/Mmf5OTkhLZt+cAHPsBP/dRP8ZVf+ZXcfvvt3HffffzDf/gPefnLX8573vMenva0p/Hpn/7pfN/3fR/f9V3fxetf/3r+8B/+wwC87GUv+7iXGTSf5uu+7ut4wQtewHd+53dy9uxZ3vWud/ELv/ALfM3XfA0Ab3vb2zg5OeEbv/EbueGGG/gf/+N/8EM/9EN89KMf5W1ve9vG9VJKvOIVr+BzP/dz+YEf+AF2dnY+IeX+ru/6Lv7G3/gbvOpVr+JVr3oV73znO/mjf/SPDkCzyn333cfLXvYyTk5O+OZv/mZuuOEG3vrWt/KlX/ql/ORP/iR/4k/8CUA9VH/kj/wR7rnnHr7lW76Fpz71qfzzf/7Pecc73vEJKf9WtrKVrVxXZCtb2cpWPgXkNa95jdx6662P6Nwf/dEfFUBe/OIXS9d1w+d/62/9LQHkp3/6p4fPXv7yl8vLX/7y4e93vOMdAsizn/1sOTk52bjui170Irnlllvk8uXLw2e/+Iu/KMAjLttjkTe/+c0CyL/6V/9q+Oz4+Fie+9znCiDveMc7RESklCLPe97z5BWveIWUUoZzT05O5Pbbb5cv+qIvGj77+q//ernlllvkwoULG/f66q/+ajlz5szw7A9XHx9vefWrXy3ee/mf//N/XvNdfZ7VaiU5543vPvjBD8psNpPv+77vGz77n//zfwogP/qjP/oJLfPly5dlf39fXvrSl8pyubxumUXkunX3xje+UZxzcueddw6fveY1rxFAvuM7vuMTV2gRuf/++6VtW/niL/7ijXL+lb/yVwSQ17zmNcNn3/qt3yqA/Nqv/drw2eHhodx+++1y2223De3xt//23xZAfuqnfmo4b7lcyvOf//yNfvpw8sEPflAAedOb3vR7f8itbGUrT0rZhr1tZStbedLK61//epqmGf7+xm/8RmKM/NzP/dzH/O1rXvMaFovF8Pc999zDr//6r/Oa17yGM2fODJ9/0Rd9EXfcccfHt+Cn5Od+7ue45ZZb+Iqv+Irhs52dHV7/+tdvnPfrv/7rvPe97+VrvuZruHjxIhcuXODChQscHx/zBV/wBfyn//SfKKUgIrz97W/nj//xP46IDOdduHCBV7ziFVy5coV3vvOdG9c+XR8fbyml8FM/9VP88T/+x/msz/qsa76vnrrZbIb3urTlnLl48SJ7e3t82qd92jVl/mTIL/3SL3F4eMh3fMd3MJ/Pr1tmYKPujo+PuXDhAi972csQEd71rnddc91v/MZv/MQVGvgP/+E/0HUdf+Ev/IWNcp72+IH2v5e85CV87ud+7vDZ3t4er3/96/nQhz7Ee97zHgB+4Rd+gac//el86Zd+6XDefD7nG77hGz5xD7KVrWxlK6dkG/a2la1s5Ukrz3ve8zb+3tvb45ZbbnlE1My33377xt933nnnda8JfMIV7zvvvJPnPve514TqfdqnfdrG3+9973sBBSoPJVeuXKHvey5fvsxb3vIW3vKWt1z3vPvvv3/j79P18fGWBx54gKtXr37MPZxKKfzgD/4gf+/v/T0++MEPknMevrvhhhs+oWW8nrz//e8H+Jjl/vCHP8x3fdd38TM/8zPX5J1duXJl4+8Y4yc8lPKh+vNNN93EuXPnrjn3pS996TXX+PRP//Th+xe+8IXceeedPOc5z7mmnz73uc/9eBZ9K1vZylYeVrbgZytb2cpWHoN8Ir0cnyipDGxvetObHpLeeW9vj4sXLwLwtV/7tQ8JlD7jMz5j4+//V+rj+7//+/lrf+2v8XVf93X89b/+1zl//jzee771W7/1/1kGupwzX/RFX8SDDz7IX/7Lf5nnP//57O7uctddd/Ha1772mnJPvVtb2cpWtrKVRydb8LOVrWzlSSvvfe97+fzP//zh76OjI+655x5e9apXPepr3XrrrcM1T8vv/M7vPPZCPsJ7/+Zv/iYismFVP33f5zznOQAcHBzwhV/4hQ95vZtuuon9/X1yzg973idTbrrpJg4ODvjN3/zNhz3vJ3/yJ/n8z/98/vE//scbn1++fJkbb7xx+PuTtaFnrfPf/M3ffEgPx2/8xm/wu7/7u7z1rW/l1a9+9fD5L/3SL31Syng9mfbnZz/72cPnDzzwwDWeqVtvvfW6ffy3f/u3N65166238p73vOeafvq+973v417+rWxlK1t5KNmajrayla08aeUtb3kLfd8Pf//9v//3SSnxyle+8lFf65ZbbuFFL3oRb33rWzfClH7pl35pyHn4RMmrXvUq7r77bn7yJ39y+Ozk5OSakLUXv/jFPOc5z+EHfuAHODo6uuY6DzzwAAAhBL78y7+ct7/97dcFG/W8T6Z47/myL/syfvZnf5b/9b/+1zXfiwigZa/vq7ztbW/jrrvu2vhsd3cXUFD0iZQ/+kf/KPv7+7zxjW9ktVptfDct8/Tv+v4Hf/AHP6Flezj5wi/8Qpqm4Yd+6Ic2yvXmN7/5mnNf9apX8T/+x//gv/7X/zp8dnx8zFve8hZuu+22IeftFa94BXfddRc/8zM/M5y3Wq34R//oH33iHmQrW9nKVk7J1vOzla1s5UkrXdfxBV/wBXzVV30Vv/M7v8Pf+3t/j8/93M/dSMh+NPLGN76RL/7iL+ZzP/dz+bqv+zoefPBBfuiHfogXvOAF1wUbp8U5x8tf/vJHvd/JN3zDN/DDP/zDvPrVr+Z//+//zS233MKP/diPXUOB7L3nR37kR3jlK1/JC17wAl73utfx9Kc/nbvuuot3vOMdHBwc8LM/+7MA/M2/+Td5xzvewUtf+lK+4Ru+gTvuuIMHH3yQd77znfyH//AfePDBBx9VGav86q/+Kp//+Z/Pd3/3d/M93/M9j+q33//9388v/uIv8vKXv5zXv/71fPqnfzr33HMPb3vb2/jP//k/c/bsWb7kS76E7/u+7+N1r3sdL3vZy/iN3/gNfvzHf3zDewHqkTl79iz/4B/8A/b399nd3eWlL33pQ+Yuvfa1r+Wtb30rH/zgB7ntttsecZkPDg74O3/n7/Bn/+yf5bM/+7P5mq/5Gs6dO8e73/1uTk5OeOtb38rzn/98nvOc5/CGN7yBu+66i4ODA97+9rdf42F5LPJYy33TTTfxhje8gTe+8Y18yZd8Ca961at417vexc///M9veNAAvuM7voOf+Imf4JWvfCXf/M3fzPnz54d7vv3tbx9C9P7cn/tz/PAP/zB/+k//ab7lW76FW265hR//8R8fiCA+Wd64rWxlK09yeZxY5rayla1s5eMqj4Xq+j/+x/8or3/96+XcuXOyt7cnf+bP/Bm5ePHixrkPRXX9tre97brXfvvb3y6f/umfLrPZTO644w751//6Xz+ish0eHgogX/3VX/2InuG03HnnnfKlX/qlsrOzIzfeeKN8y7d8i/zCL/zCdSmE3/Wud8mf/JN/Um644QaZzWZy6623yld91VfJL//yL2+cd99998mf//N/Xp75zGdK0zTy1Kc+Vb7gC75A3vKWtzzi+jgtP/uzPyuA/IN/8A8e83O++tWvlptuuklms5k8+9nPlj//5/+8rNdrEVGq67/4F/+i3HLLLbJYLOQP/aE/JP/1v/7Xa9pRROSnf/qn5Y477pAY48ekvf7yL/9yWSwWcunSpcdU7p/5mZ+Rl73sZbJYLOTg4EBe8pKXyE/8xE8M37/nPe+RL/zCL5S9vT258cYb5Ru+4Rvk3e9+9zXles1rXiO7u7uP+L6/l3LnnOV7v/d7h7r8vM/7PPnN3/xNufXWWzeorkVE3v/+98tXfMVXyNmzZ2U+n8tLXvIS+bf/9t9ec80PfOAD8sVf/MWyWCzkpptukr/4F/+ivP3tbxdA/tt/+28fs0xbquutbGUrv1dxIqfiA7ayla1s5Qkor33ta/mVX/kV3vnOdxJj5OzZs493kR6V/NzP/Rxf8iVfwrvf/W5+/+///Y93cT5h8pf+0l/iJ37iJ3jf+97HbDZ7vIvziOXmm2/m1a9+NW9605se76I8KnkilPvNb34z3/Zt38ZHP/pRnv70p1/3HBHh4sWLfOQjH+EP/sE/yJve9Cbe8IY3fJJLupWtbOVTQbZhb1vZylY+ZeQjH/kIN910Ey94wQs+ZmL8/2vyjne8g6/+6q/+lAY+oM/51/7aX3tCAZ/f+q3fYrlc8pf/8l9+vIvyqOT/xXIvl8sNZsDVasU//If/kOc973kPCXxA6b5vuummT0YRt7KVrXyKy9bzs5WtbOVTQt7znvdw9913A0rX/Dmf8zmPc4m2spWtnJZXvvKVPOtZz+JFL3oRV65c4Z/9s3/Gb/3Wb/HjP/7jfM3XfM1D/i6ltJEL9/t+3+/jWc961iehxFvZylY+1WQLfrayla1sZStb2conRd785jfzIz/yI3zoQx8i58wdd9zBX/pLf4k/9af+1ONdtK1sZStPEnlcwc/f/bt/lze96U3ce++9fOZnfiY/9EM/xEte8pLHqzhb2cpWtrKVrWxlK1vZylY+heVx2+fnX/7Lf8m3f/u3893f/d28853v5DM/8zN5xStewf333/94FWkrW9nKVrayla1sZStb2cqnsDxunp+XvvSlfPZnfzY//MM/DEAphWc+85n8hb/wF/iO7/iOx6NIW9nKVrayla1sZStb2cpWPoXlcWF767qO//2//zff+Z3fOXzmvecLv/ALN3aIfigppXD33Xezv7+/3RRtK1vZyla2spWtbGUrW3kSi4hweHjI0572tGFj5YeSxwX8XLhwgZwzN99888bnN998M7/92799zfnr9Zr1ej38fdddd3HHHXd8wsu5la1sZStb2cpWtrKVrWzliSEf+chHeMYznvGw5zwh9vl54xvfyPd+7/de8/lnfc5n8KG7P4IDnIfgwXuH9+CDIwSPtyN4Twj1CPho753HeztC0FfncMHjnMN7j7NznB/Prd/Vc73Tw02v5wPOuVOH/hb7DvtN/d7bKwAOrufXcgB2jpt8qO+FXAp935NSout7+r7n5OSEo6MTjq4ecXx0zNHRMblL9F0i9ZnUJUrKeO8IAbzVZ4zQNJ628bStp2mgbQNtE2iayKyNtG0gRn3mEMJQz0OZaiEFShFKEUSEnIUiQilQRMiif6cEfRZSEvqsh+AR5yl4BA8u4KxNnPM478A5RAQp2GvR+9hrKcXuV5BS/y5IAYogRRDR7xAQhKfecDMv/wMv4X0f/hf0+QQE+k7oO+h66NZCToI4vT/OgYemdezve3Z3HXv7nr09RwiOkkEK5Awl62tKepQEOYErDorDF3DZ4XA0jaOJ+hobhw9QgOK0nOKELhWWfWGVMsuUWPeZ4PxwROeJeFIPqdN75h4kaVuHADE4gnO00dHOAu3MMWs8zcyTemG5zKxWhRN7ReyRPWPfdQJOEGdt77TxHeCcDP3CF48HfHE4cYhAsUPQvuCnY9o5vNdn1WcXCoVStI+kDCkJXdL7hwghOELU37czaFtH20DT6nu9ll5PnN4zJ6FkSFnf9wnWS1iuhPVSWK2g78f2ytaOAvb84/gUGfu4iB51bAWrtzrc/8AL/3/cfO6Z/PTbfm4Y6yJF29fqpAYp++vNDENdq5Q66Ib/7ZqPwFvuvAecdWmd68IwT3qcG2/lEW3yUnBSDx1D2DMjDhkOKFK03u00vJXdC97BfDFjsbNgvrtgZ2dB00YOT1YcHh9xtFxy9eiEPvW0Tvtr46Bxjp0msLdoONM2HCxa9mYBj6PkgoiN/1Q4XnUcrnsOjxOH6zUn60xyjuw8xXmycxQcIPghMlxsvnd4H4Y1ZW9/wf6ZHc6d3WX/zA4HB7vM2kjTNszmDW0bEYHLl4+5dPGIK5ePePDiIScnHTlBKoVchNQXmwMLJevcVGzuqtHp9e+Hk1L0+9p2+l7Xnipf9RVfzAvveC633/pUAGbtLvsHNzI/OGDn4Byz9gwxtrqODm3vhnavhwAZSCnTp0SfOkp/QlkeUU6OyFePKUdX8bmj8dAERxscjXe42EAToW2QNur7JiChgdCCb8B7nNTuoXOIThJrpO8ofQd9h9gEKqXYoEyqFHgPLoJzOB9wbQtNi2sjLrQQW3AB8RF8BD/T36EPKLWXS0HKGpFeJ83SI7lD+h66tR0djoyXWlbB4SC0iE5GEBpoGlw7gzjHxRbifCjjxqIvRScZyfZsCck9pe/IfUdZd5QuISlR+oyUHkk9JWdyzuSUyDmRJJO6FetVx/LkhOXxmtXRWp/NBT18GNYucYI+hL0COLHi1e/AecF5QTzDuppLIUsZ+mCf4X33N9zymf8fO+duRwT6fs26W9OvTui6NavVkpOTFcvjJSfHS06OVyyXPTk7nTeLJxcH+A0dyXlPDIEYIzF4YojEpmF/b5ed3T3OnDnDzu4uBwfvoWlWNG2ibXuamIHA8dGLOTosHB1d4vDwIkhiZ2+X+d4+u3t7zHd3cOLJvdCvCrnXMeqd6pYuOnzwNG3kzMFdnD3zAc6dOeJcOOLyfzvk/168woUHrnDhwlUeeOAqfV8IcUYTI20zI8YZs1nDfNHStjPm84b5vGU2a5i1kUXbMp9FXtQEYulx0iGl5/9Ix7lG2L2x4crzGq5cablypUU6YTesmMeO3bhmHtZEJ7a2O6LTdbDQkEtLIpKlIRMooSeFnhw6su/ofc+aRFc61vR0ZNq44uD/rDh7dcnZSysuHK64nQU0Z8jxLLk9ILVnODq7z+GL9zns9zm6fI7l4XNo3IdonTCjEJ2wM1ty5uAyBweX+d3fucTFBy9zdHjM8fKYo+MVR8fHLFcr1UebQDt3NE0gtKpX40z3HvRox/Lyggc+vMMP/vCPsL+//zHXuMcF/Nx4442EELjvvvs2Pr/vvvt46lOfes353/md38m3f/u3D39fvXqVZz7zmcQYbCDYPBfcBvjxpoT7MAU+dkRT1P0UrBgAqqDH++u8bgIi7wxgubo4hI3rTQHPxqtdA38t+IHJonWd+puG+k31mPo+56zP33vwDuehTw1NE4lNIEQFKFLBYS547xA/qb/JEYIbjhgdMXpi9DTNeMQYBmBZ63hceLVcCkCuD36yCL7o386UIJwgXhAK4sIIftz1wI8fwE8pxYCW/k1xSBFccTjR1/FvfT8eNvmbshljYDab0TQO550pcoyKerZWqgqvLSAxKkhpWkfbOmazEfyUKfhJYz1nbS4tVz28w1fwMzmm4KcY+MFDdkL2ThU5VDGMbnyNuhxjGAR7VIJ3RAM/0SvQahtP2zjaVoGvdwoGcoamF1LUuvAb4EfrQQwA4UAqLqx9YQA/Di/uFPgxhVgchVPgx94PgMVBQRfIqeJfrNMN+kZUQN80aP210A7gx+oRLWcRbYecwWW9J07bKSZIdq1SAJEB0FRdfwA/9pC1v2j/H8GPt7b2YRzjTRNp23aYAwBTodg44JGBn/Ea10wg1550zSl6MecY5sPNee064IeJblQftji7v6qCBTcpzwSYDRfQeqnAQpUbU3BiUMOVV2PHMGd6p3XpnPZj74nB0wRPGw38OOtfRftXFzzRe4LXseHtqEaM4pyNlM0qdZNzvc2XIYShnKNBqKGdNcxmDW3bIAKztqNtIk3U80PwNs/oXOO9zpGnG3uY04Z2+VhtN75ugp/xt23bsljM2d3RzUZnsx329nZZ7O+xs7/PfHbwMcFPldPgJ/eBEqF4yAWKJHyONB7aKfhpGqRpoG1gFpHGAJCBHwmNKje4jT6mE2dj4GeN9A30Ffxk5DrgR9eIAG2La1tc24zgZwA+Cn7EBWrDK0Bwdu3WwI8qoaQO6TvoIqwjdBEnWYGaCM5NwU9j1qUKfua4Zg5xhpuCHzfWrhjo2QQ/HaUz8NOsJ+DHgNEG+OkV/JRMHx2N93gp+Aw+2dxyHfBT190NoIMM39XPvLf3p8FPyRQD7E1xzGYti5095jsHAMR+jY8rgg/40IAL5BLI2ZOSo+89KXf47CjFUYrH5Qn48XXcT8GPvjZNQzvbYzbfY77YZ7Gzx2Jnj7YNNG2iaRQAOSIiB+ScSaWnTyuQxHyh5y9291ns7o7gJxRSdwr8NPratJHdvSvsHeywf1A4CJm807NzsmYxXzGftczaBkchNg1NbGiblhhb5jM9ZrMZ83nLYmHgZ9awY+DnoAnEEkEClMCeePYbYXevoRy0CmRyBT+ORfTsRsciOKJX8BNPgx9p6Ynk0hr4iaQQSMGTg6f3nobAujginkhiFgt7u5n9lDhYJVZ95AAdvzm25HZGms1xuwvkYIF0O0jaxck+rdulRZi5QuOEnZlnf7/j4GDN3t6S5WpGyT2FnlQyOTc6bwRHrOCnDYQ24E33Ow1+ZN0ym7WPeJ58XMBP27a8+MUv5pd/+Zf5si/7MkAtWr/8y7/MN33TN11z/mw2u+5u4AKDAuKcKbEO1WIENjWTehS1QhaHuKKnbnytC6A4oIzLswxLlNP3Xge3YEqzE/NI1LNVQfPOI05fdfa2VwAvqiQgDLat+iy29FbFYfoy1WZErtVlqqXw9HGNGlQtKMP7jbn3ujJe5dqTrvVybYKf+n5jcQZbJOxzufbSG5Zq+/3mk1j7iFrKB6V00m4PeQinPoPrFSM0DvFVybU+YHUWEtZ8o/IfTcFuGvWeeT82/dRyqhZz+64e9p1HFbAgqtSF4HQSCwZ+nJDNNplt3QoiRAetMzCLIwBh8kpBR76tbzJRHBVD2mSCKvlqTFWwmqtHpOhRq7CUoQpq4dWAan9XAKTtp71bDASX4nEiOvbMG1A9AoN6fLrRHUNZvWfwMnnGic9HUS9mgBAxcGdH1M/EfpNrm0/Hlv1Xil0jOELQa+YMxe6jIFjG4rla5nFeKZM5RitMzytl7GeG2Te9NKf+HgzRp8p6Wh7mq0chNo6cPohwqnJOj1Pq2Jn+P5alDH/LCDit/00vJWbVDSEQ24ambWlnLW1KxLYhdJEQAjnnySQCm2r5CLagjtnpdx9b6i9xkynbO5om0kT17DRNYH9vh/39HQ72dzmzv8v+/q6Cn7ahmUWaJiIirFeJ+aJjtlwzmzWkVOhc1u4g1hFqR7lea3ycuYmCDzTNHIDYzghNQ2giLsTRcDco4jouHQo0x/oZq15Biqe4YEpJMMOeKdj2eFlQr7Z1CBHUijNMHGEyGUZrhcmzOxDnEe8R7/SnTNY6DSUAW1fUwaGlc1NvkA+4AfRUT1Nja/apurcIDWTsRzqexdYbnSg82q+9jOvqsGi56ub143tXn9esIIPXyeEKCkKymMFP+3NGjYU5C6XPlJQVAKWMpEwpiZIrEFH9ZJxT7Z7BgdQyYMYzx7BqFluYBPBFi12gWsuqlxwBsnorcymUknVtEAXrKWtd5VzIOSMipJRIKZNzMa+nejjH+c/qyPQhq1qtlqB9xrtxzsceZZwbdYYpdt0+Pw/69yIsBwOII9AlIZlHyYdG+2+IatiwSdo7BfExghOHd0HX4hjwjcdHz6w9Zr64h8WiZxF6Vu9JfHSZ6NaFPgmlaJ2rgT4QYiQ2erSzltlizs5ih53dOTs7M9o2st8EboqRW9pANqOrzwVXCs8umWNfYB7swb2ZB3QtzTnSk/G5UKKCH3AQbNk341XwBU8ihEJyPfgeQgafya4QKMQiasBAaD20YmDIeYoPfCg03N625NmcfrbDeneH9e9b0Pk53XJGv9olr8+S/Wcg/ncRf4wL1hnNeuvmAe8jzke8jwpuXIMnWYN6dYIWj0vad4NTBcDb2GYydB6pPG5hb9/+7d/Oa17zGj7rsz6Ll7zkJbz5zW/m+PiY173udY/8IpN1QgerKnbiphbZGsqkE4kUb9Y90NCcqiIPahbiHMUJ3hUKXid0Cp4wKr51svUaeuOcp+DwzlPQTumkTm7eGkqBlXcBhUqmTfuqAY8TpatWSOC0lqFKxrXgo9bFEN4lY6iHSA2ZkQGAjMeotGNgyE0mlqosXLP0TtDS1MJYvWMbpzEqUXi1Enmv2l+ZKBcbask1q6sbgeHw+ApIq1Y5AFLqolTGPjA10dvr9dSgUYkbqyA02IJhVvuggCg25v0Z6ksfNjaO+Vy9PrHR0CtnWoN48PabYs3vRa1nrjBalu15I17DD0P1yIDzjmyLe0IQV/BeiB5m2db27MxQpyF0XpxFpGkbe6egSbK1G/XQ/lVtBSmpAtj3NbxM6DMkm8CcVZSvwM6LWubr2hqG5hvqyaHPWgw5OWEIiapNVASCLdjeCcEaxTkZdQZDXD45goccICYdoSGa5yiqlTKakbmxIzY2XgwAVQWhKncYuCqo1ycmISRHSBBKDXVTb2FO9iymLE/70rTLgdZp9dpVYysogKq/2fg9XKuMyccGOOXUdR6NyMTToGPHvKpSdMFy5qWcXL/qR/o8A3S4/mFzUrbfT9ct54DgCU1DO5sxW8yZL2b0JdN2PU3TDR4gTy2HKXET0FOwMDs3KlWq0jjEwmcrCBvrajrTmVFmaFMhRMesbZjPZ8wXc+bzljNndjl7do9z53c5c3aPM2f2aNponnZPbIIqYV1mvero1h3L445cAHpEElkE1w+LlnaSyTozlG4yl089O49FfGhoZzsAtLMFcd4SmhnRtxYCrh1UUOOAKxqSiHnapnd2jKFI3kXEB1wIuBBxvhnAc0HDkB2i80IGKW7o5K4CAwMmzscBUDgRvJ6GSLB12m32qVKQrK/OrGku2JznaoRGAG/l8g3Ot5MwO/US1T5QV3tth6A91dXxN7aFFNH7OiHUfua8emgHIOcGt69GKgSciwoOh/hXq/ParsW8MEU1kIIjGfBJKZN7BT7S95SUKKlHShpCuiuoKNnmVxxS426LDuJhfnG1harukG0hFHtst6EzDeHNKHjPORvIUUADkKWCn0RKaQJ+ej36fgBCuRTKoDMpyhGq90dbJDjUAWJzZxkfwwCQli1LIZVEyj1dv0eR55LLJfp0FyEEHJ71WkOlRSIhzvAuEmIkeG/NlXFONEoINQ5K9DqmYyC0a0K8xGx2zP7+Cfvtmv3f7fi/93VcOe5ZLjNdB7k4xEVcKLjYEJqGOGtp2zmz3QW7e7vs7e+xv7/LM/d2mEfPDcER96Dc4FivhHDBEbPgk7CfMouQuXqrhovoeq5jp0ikS+CykMUza4oCNxy4okYAw/5NU3CxQyL0LuPXPVzM4BKFTLk5UxobSwXaB2GWPTMJZN9wGAqhnXG0WMDODqvdPU6ec8Dxjbssr+yyPrqJ7uTT6E8yoWko8ZkQfwewUGIBKYEbbo1cuq8hhJbgeoJPeJdwpGFe0CiZinB1HBPcEI0FY9TUI5XHDfz8qT/1p3jggQf4ru/6Lu69915e9KIX8Qu/8AvXkCA8rNisZ+vSqOBPwmAEAxVOdKS4eq4pI2VUlosBErXyiFog7dOKrMVeoQxhWF40VtyLVyVU9Dv9W4FAkTHErTi7j32G6GQoqFIr1ZQxUfonSGRQzDeqYvigxoznAQQNiv9kIq8en8EQNXhrNm7FcMNqIarqgDv9nbMQtGl4n53ixlPB2seWtIJTxd+pUmtq9wCYxjMngMQxAtjhgqZsVSvc5HUT8NQOMlHFpib562qJjthqGBqoMh0SxOworS4sY72ZNyjCfAGzuSrZNapgaCuH5vVMQI96gAyYUMNxNE+niRayZZEhLlTbGBXqEbzQBLuOOEJRdOOK09whey3D9dV7MepZGn6mdaBAJBfU8oiBn6TWrOoFElPY3UTLr+Cwhnfpc9lA9TJaaLIBUANRujiPIMjUzhH42LAIDmIFoNENOkXMaJy4VYwLRe8fCs5bSoHl+2j0iZgF08CWFSlbaJ2GWghR9PyQnIEgyFlwnTVjUQunlA379Ah22OxWtauUU+MiZz27TFXxKZDaQECbIEs7JtfKdfrzo/EgiIhZ8wtOTt3AFJLi6jNpA0lFdyI67030eaEMlkTtdqOhquqHglPlu4k0bct8Z8FisWCVMu1qTbOOhBhw/ST4r87rdYzp7bUmSx0lXu9a4zRNkdf32UI1AVf7qBseUr8qxOBoZ5GdRcve3oLd3R3Ont838LPP2XMKgDRET0M2YvCknOnXhfWyo1t2nOx09CkjNkf3KVu5q/qJWTuv58F/6LacniOCenCwMT1tPoEQG9q5gZ/5jDibEWKDD5Fo4SSCG++N6syIgWLGLqhV6Wz91BwaMfCCj7hSbB0q5hUQ8/yMwAdT4DS8qYKfxoou5nQwpcl7ivc6f7mph8DWu1xsLp2ElFcgQjAA1ICfgW8VCAXzAjldg8Y1QajeGal1wsSbmwXJmAGWYR3w4hBfAZOF3Q2ep4kXypt7errWWz/U+xaK02fNonNUSoXUF1KveT65T5rv03ca+idia7/2iVwcWRT04xwuREoQa18U0Dhdi6Rk1SEsikLL4Yb5u644ZQDmCmhzLiQLuUuK7Cno+E99ous6ALo+0adE1ye6lOlyIlXvVL1lredS29WmMuvD3o1tXxdCcULxQnE6glLR8qTUU8oevd/H+6fg3QdBZuSyQ05LiouE0OJ9JsQGFwPOqY9NpwddcFxQQ3hoPE3sCbPfpWmOaecde/M1ux/oeeC+jkuHHceHiZNVputF1wanvw8hEpqW2M5oZjPmOzvsHuxxcOYMt53b58bnnKXMPD0dq1iQmSaUxltAPliIJxm/DvqsxUPxONHQ3iyOLBFXHOviSZLIpTATm88ieAoxFsJMcDET7yzkw0KQhMuZ0mWkZIIrNA8IEgrudnBzYXbBMSswE8+xD1wODfO25Wi+YHGwy+rWfY7OnuHk0oLl4XnWR8+nO4a06kjZUdp9RM7h/X0a8VSgFMeNLvDBEAmhwfsW5zLeZbwr5sV1SGY0lHk1ajkDpNGiVMMTxfMD8E3f9E3XDXN75GJKrr2tOoO4SQhctVyIh+oBcvUwr8EAf6o3p1AIFh9pfh/Rjl8thqBAB9FBWAGO945iVibE8l7ED39704KLqGXNoROiWJCTKvd6bSc6aEYkVwGIKRq1FmT6KpsL5iRh9nTo2xjXPyY2j96gqlyNvpFp/sGo7kx/68ziXy2A9T61fNVyWJ+h1q3Fczs3uS8DkBgBD4NHbLgmFkIlYykHjw+oIqa1MnxXFzXH6A0b6oTpdUeJrRtyP6WAZHXFStEJ2lWlyZoqBEczG0Pfgq1t1LyhotcZPDFiOUgTz08Qp0QFeGJgAD6thknTm12y2BHsuTT8DYo4JCkAoneIhSAUp8CqeJCgljXJtUz6vg6bYon8RZRQoe9HIoqURb0VFTwZigjeTcLEdH23ITOAJAGLNZOhLmpIiYJWA5oo2FEnqSOa9Rfv8MHRaE40JWu5JTuKucEJDu8KLnjwpYbbD8AntuO0Ub3wfqKED4uqWNhcPRpIycLtGMMC1bo69MLhfe27g8hkVE1016Gur4NYxn556oOPIaevdBqIPfQPZfJ2akio340GkGnZ3MZPJ/k+MvajSnSQq/I0mWcGW0rwGhZiHpbF7oKTvqM9mdE0zeCZUGOvDPPiqJzqAllElV7NIQMsoEWmZbOHGItdZ1g701GvSAie2SyyszPn4GCXg4N9zp8/4Ow5BT/nzu1xcHbPCGAwsh2nyt46sTxZsV527Oys6fqekgt9Lvi1rUNTw82plhpBzQhurtcRZHgyHUvVK3a64UMMtAsNe2tmM2LbEpuZKSG6dtUcvPqKzfdehuVouFfNwxAXERcpPmr4m4/gCkLWa4jXZ8hqGFHWFj00p6qGzGkYDNSlXXQOLlBcGJTfCqKLMBDZ6GCy/uFrazpw01C3idcnaFkHEGKIVxhD06XYOl77jIGLYutsMfDjvHodXV3XbUKRwTBong0fqOF346TjDHxpmDUiGuJn18o4UtHQ477PpF7zfXLfU1I3gJ865moLqfeken7ciGKpw7quI/bPcnekhmNW8FNqXWsfrQbWXAopFSVZSEq2oNO4hzmknHB9DyKkpCRMmiOmIXDJ6q8MCGeIr7E8YevvHouosXr21nXqGmNtViSTsl4/9D3O1VjvFtzvAzmsPQIh4OOMGPLg+VHPZsY5Cwe3/PDgPLG9k6Z9gDjraNvEbLFm79413L/mQ1fXXD3sODqqnh8NrRMCzjtCbIhtSzOb0c5nLHZ32Nnf4/bzB9xw+1O5zLMpqwXOX8ClDtddwocjygy4I8OVRHhvT9kR7Td9YAjnxFMK9MmTUsDlqG3o0BDwIkRXiKHHh0T8YObyRxN3rxPPJdO6QvYKfKMvylYRCv5Q8OeF2Qpm2RHF8wEXWUcNly07C9Ltu6zO7HF8+QaWR7ewPLqF1XFhfdSRu0QsnsJCc8yi4CuoKTpfhNASQsL7RPAZ7xKeTEEXxZJtnkf1C+KY7xkM/Hh/7Vz4cPKEYHt7KBmUSDAlpbqgDc5Yvo3m8WSLm7VFPItNyNUyaQqzD7Zgir6KumJd1eBqjKV4qEp+XWS9H16r90bBjyXn4ylSDABNvEhuGLmoUlEs7tjZ5DcgklNa1PUAUJ2IN5mCBuXFfjaZZ4eFyw2TnC3+FTxOABCcUsDse2cfbOb82Gl17XVOfT1mfMWpIj6e+1Bq2bggjPecLr6jUqCLkS2HMgLaCoigdoFNFUhO31vchvcptgomgInjyJkyP3lOK5/3GvoWG0doVFHHvCze6mLwihTREDXziihGUiKAgajAclZGz89kccAUyTqZu5rSo+BHegv1cQogak5b8SOAKxVAWPiWDJZ71Vqzg9Qr4EnZPD9FXwfwYu9LUPA1sAiosXWiPFt9F4a8n3puZQSrdRqcU5DkUW+MKBhyvpIZaDKn+LqoG8gTvaeCGO1wsdHQtwpgYjNitgEAVQ28Nqs4iuUHhZqLnSF0ZiCggh89qI8pIxjAgFR9P3jasPcmJU/ue0qu0XPlkYGYRwx2rvmdtouGvY0WZDVUTOaRyQh0G6+T3AgqqJv6XEfFsV6nqmPiHC4EQtPQzFra+Zz5zoL5ak07a4lNo2Q3PuBEE5DdUOoJ+EH7exk8GPXe4zlTH/BYY2hJB9Cj/cijfW3WNOzszNjb3+Hs2X3Ond0fXs+d2+fM2V1CsPnDQsS6vme17Dg+WrE8XrGzM2O17ui6RFwnM4TpwBuBz1iyKfCp81qdtx+r+BiIc00Qjm1LiC0hNEYEpBNZ0ZuaVV5rrZghovZHrZ8KXNRgNwU+zgf1Bg1AwUEZw97q2K/hOxpxoYnN+KDXF2tfpxpwMUBQ3NiGNcqh5Or5kWHOcFLXY2/5SBFvYW/V8yJGrjB5Km0TJ0POj1TXgzB4PqSMRD7O25qAeX6GBcsCit3E6zON3a05P5NxQ81rks1nzVJDjzN9nyh9r+Cn78ndegj5c9R8K6fztdR1wMLeJgbCapAoUsiSFcwUjR7Bj/WhRgLL8cmiuUUiCnh6O7pEXied432EuZIwub4H1AukoW9pI/8ni4z1VaNvsDWrlI3oDyo4dM68t26IBhFjAc2SSSXRpx7Mk6XrSwDZI4aeGDD235YQi5Hj1NzXQvBFyUm8owkQQ6KZPUDTdrTzjqbtmfdr9u7teP9Rx9GxAp/jk8S6K3S9kIuFOAaPbxqdv2Yt7XzGbGfB3sEuZ599I5flVh68cIzzK0LcITRnaeINxOYKTt5HkA63G3HP8pTeD33KMYLqXEBSoHQCvbaT80KMQtNonYgX3N2Zw3sKHzjpOTnpeK8rPN8LTRCSK+RQiLlAFNVPLsEsOVrxXCCw9kIfoLQzZD4nHSxYH+6yvPJslsfnWZ30dCcd/bKn9IVCRHyGRvWdgQ20eGQe8DdFwnFDcI2GvLkWR9IxUxSYY/00RqdziM1/I/h5dPPfExr8eG9Jy1K9xzVpuyJC68iDFdoSx+v33isrmnksRkYb/XxgFhnY3sZrO8/INOewiX9iwGHU04dl1jQDdesyrG0O7RAV3LjJSeI0SEmGjPF65amMCztSqZwt32cAQTWYYmLIcYzP4jG2NwZK4Q1vjnMbTzR9Mp1wRrADFQS4UflDkfuwuAzn2vNuqGh1YZXxWjB4fjZCAyY3dJj1viYImg4s3iEaYEcN36jsBbqAFaqVtOodg1XbT24uFeKNxXX1M2f1ZVS9Lhj1us3NgwerXt8oryWNB/W1uiw3Fs/TVS9juewjP8lvGCzcUq2Q1gsN+IwLhZuELckkP4IhjEOs4LkCFca+o7YDU45rsUXzV/oCuUgN4cdFsXA9GR/J7BGu/s6AVDViOPt9JYUYK0L7Uq1bJvceupKNtyGfTBgJJ9wIXjaqk7EcNQyjUlnnPIKcNKG4rgx+NSl38CbWOhm6ttsEP1LPnf7u+mDl9Ih/LIDm4yWDV/S06+e6546gp+K8TRBkl3CT8V2ZOhtjb5rPmM3ntPOWZqYECLFpiE3QcE5rsAoM1BItJOt/YgavUsZXTcqehC5NystQJmOO854QHU1w7O8vODhQOuuzZ/Y4c3af/YNd9vYX7OwoXe2sjbaujPMsFGV6sy0ClMHOK3mJgayplx6uDXH7eIur+S8wKuTVGFhPkumYsgF0eu6lfjSuF/XBN/JyxDwyqVe2NKq+74Z7OQsX9+JtXSwTKKv1RO6RtKJ0a2TVIUulfRYLASv26jxGp5/wxZPFE5tEiYniE7gecb0Bb83PkRomSA0m1gqQki2ZP5FLVkazbJ6PMvY7Vw1iWL6L5TM50cgBZRnVtval4EpCcrRwsrHOAErJlJzIpSPnnpw6+tSTup6+6+m7jq5fU1JH6jtStyKvV0jOxpJX85s8ORf63NGnTr2QqbfwSs2PUfCjICblTO4thK1UADI2tYhtS1EEScbYmjKpy+qFWicNnxKpfBVIthAmEcv/MXbAvqfrO1JSIAXggo6NKtGD92osDq0jtJ44C/reB6LX+SI61eGqQUCkaHvl3vKRHCU7clZ3UdMm2phpmgxkvY7TfJ7ZPLDYCcyahib2xHBIEy7ThPuITU9oMjFmQlNo1o648hyJ5twIDbikBq/oCOIJ4ogx0s53me3sstjbUzru8+d43h1Pp3O3c+X+K1y5+CDNbM5iZ48m7DGLeyx2E4u+5/C+FXd9YMl9J0c46fi0G+acf/YCv3CU0nBcPF3v6YpnvfZ0SzTsrhhYlUIiUYJHboSdK4m9dWGVCm1l1g02rQehNBmJgjylUG7M5ONEujNwo+u54qB3sNvA3GVK7GjbJfPFh5DioRwguaGkTJZCY1ETgy4eHaERYlO4mjP9PUmBfFY92aPU5amAkE1XA2zurp7MYoQMOl4e3Xz5BAc/Cmj0fT3cEHbjJxTNmuPn7e+6J02lcJ28ugpy7NU5o7Iek6sqCDrt5RgOsHlsGjIBGHrVt+OED6jyXhPSUW3PGYWJjHFVegyL07gCjfkSDJ6fCoA2PT/XAUC2QFUQN3rg9QQ3vE5+NJGH7HI2n9cT5LrnTgGdm/xgMwRPhnLoIlvB1qhX6sm+VI9aUdCjcRbq5aiWurqiD0rGqMDDqHwDYxKd5aTUB3ETTc7ByNImqm0PoM/azU3bLgO2r4/0epR+AoCGuhoXw/qZRolYqN9Qz24AZI5aKfZqdNJi8d5O1PpnZEhMqXWHXJsKAitxiD10VQecsz2ggnrDzEk08Xio11Q0tgmchdMjBDAviIzKoYEYqZ6PMobZuKKOmw3ttD6nAaChi9nzlFK/q6iHwYNRB0kFQgNwG75ywzXGvX5GwJMSuk9SbyQHWYHe0GeqhX4yBpyz/uOmdT15nTyadqnNUeKGzjQ5d6qgPqQ81BnuYf4af3k9r8LgBbJfXt/xUD8c1MexnpkcE8AzAB8zNrmglPxxoI02xrdWKfubRpOTcUkT04b5z5QxU9CSiJJmTDzgUvTzSgpT6hxp9ayheMoIFaNn1mgZZm3gYH+Xg/2dAQAdHOywt7dgsWiZzxvaJhCjG9cJ6+NFvLE11lc3eIfwNVSnUGwQDHuV1TF6TQ2PdfzYxQ0WhSGcazo1DiN+867TGXva4lNDYF0IqzElV3CXlYpacqc3GawOMoxLn1GjRym4mKhjeWBGzQnpVsh6RVmtYblGujUlJSR1SOqRlLT+YyBIr0ooHlknSugpLiIuEF3U/Ed7mmGfMjGwVsGPZIok9YpYn8ml2NiXgVHN1Y49aSFl9NRzKLqlgzOrivM9LgeQwGBItJkrl0QpPTmvybknVZCz7kldR993dKkj92tSvyJ1a/rV0q4bTJeJOO9177+sJAN9TnQpWesWHQsGflLOut9UX+hTpiRjYasgqOahoXNeyVo/ORXKOpMtDK/02o9d42io87LlAdkeRCmpwtv3vRHGmCXfewtrstwe099wCn4U+AR8a/qd9T/v7P0E/JSSre6cGqw6SMnYw3KGmepkjkIT1SMYm8hi3rK72zCf3UXbXKbxV2lDR3Q9PsjA3oqH6BwX8PQuKj17SLhYDPQEAp7oAk2MzBa7tDt7zHcPWOztc+6Gp7JY3M799x1yeOk+rl66xM7eLm0jRN+ymGVcvpsP/e6aux9YcvXwiMPDq1A6umXm1qXnps8K7O0KuffkVaCUSNcFTk4ifSfmwVPAniSrNTYI/rk9T02FKyXzFK1ASjB9I4IcZPIzC3lPgXC/m+iyo73b8VSEywhno7BL4jguaXeO2Cn349wxjmcg5TbIPZlM01qoeVSGPB+VLCq2hbs+nOiWHf26Jye1OiqdeNQQTLOEVt02l2qUVE+XpUsODIOPVJ7Q4KduwgnaEUePjhu9QMMmhxUEVY+PH8CQ9+PePhX0hImnx1Vv0AQkTffmwdz96n0YrWIjEDL7vZj5Woq5+McJ3RUDUcXhKvObswQlo9i8drkxBXlQKpxZrctG6NsQ/mYnVhDjq9XfmRU/1Gc1dd2Pi9mwIWtVN82TMNVixpClqtUwACBdSycLtrjJwmoLzrCCckpxZQNIjGv26HkCUxZqTo14DYNQzUOplCv4cbb4iNa1iDcmQMAVS6DV+1dX6jRUiTJZt+t4E4cLlaTTDa9DQGNVgDVGTb09PUinr/RQOkfpdRIXc+OLEWCMOWrm3XIMgNfZ/b3Uco2faw5PbRuQiWV36E1Vma0TTO1PA4W7DICk9mvvdT+gEiybSkY61SxKCFDM8o7OtUTrFgQNWdPrmAfXYeE0kL0gScGHt89G5rex0K4C5PoMUr012s617gfGjFxzIGB6pcklzWulFqWUISdHn4Te9jZMuqeihgCmcUPUCoCuK0NjjH+ewt8b7XC6ZAL4U7zWxV/nxIe8+aaMatnks1MoxpuXdPrdWHf1kWzsGPubVKVv4DC2slJDC81CztiPQfu4KhJuIE3x0ROMTlrpYHW7g2Y2o2kbYhNpQtA+acByBDNmzS4amqPhnhX8jIprTbKuoKnOOmKFdgFVWOYtO/MZO4uWg7O7HJzZ48zBHmcOdjlrYGhnt2Uxb8cNn2vYm82fQfxAU9+YxydWgxtQsy2kWjgfom1Pt9PvyTtkBj197welu44jx2b/HEH4Zg9y1OVpXA8x4qCak6PzQjEa5qS5KVnd32okyZAyLgk+FVxfcPOMa6IBiqG36Iam6xWyXiPrJdItkb4zUKWJ/5J7vBdC8fjs8NkRciC6RHE9dd84cZ4wAfQBRlbOAfwUck4GRpJ5EYysIhcL3bV6G93oekHdjAyXZTTk+YLPBXEJ5wKeDilhrH9XwU9Pzub1yT257+hXdnRrurRmndakfklar+hXS/rlEsnFqIPrnliBIpb8nxN9TvQlDbmiuYx5o6nP9L2RKawSuc+UJEgWSl/nObX4Sda+I0Dpi9Jtl2L022rFczMDPyh7nD6XkSL0PX3fsV73NvkrjNF8vkCx/QKlONpWCSf8zBHaQGzV8+OdetKg2CbLokYFb4C19PRZdB5f6+bkqbPcb+uYLmukSy7gvKdtGuY7DXsHH2Jnfg9t39GuO2YXO9oHesCTvRJ7lFsCfjdwyUWKaxS5R8FHhyMSfUeJgabXXJ92d5/F3gGLvTPsntnnubd/GoeXrnLl4n1cuXgfly9ewHGevZ1IYI9ZU/g/7+65dGHNgw8uuXLpkMsPXkJyT7cWkgQOfqPl4IXQzwKr0II0rNd7HB7tE4JtGJ8vsc49XU4638ZCaBN7N2ZuvJo48IF1MBKRc57yFMj7QsmZfqV7HPm4Zn2L6tE7Hy7c7jI3esjS4967pH3aVfYOwIeC4y4oC1w6Tyc9s5lu/xGb24jNfbo5bCPckwvHFxLrZU+/6kl9spxjnR8h0Iu2keRCIZOzpiN5yaTCmIst6VFNf09o8OMt7l/fnwY4btj0dAqKKvDxwaubcwh9O+UB2gA8bkgAnVr0qjfkmv1sJuCnrhyjomnAZogRqt/VELH6mX6v6kaZvK+a/njVwetTLXfmVj/t+ZkulAOOcKdBzvSVIYTBjT9gnN034/qvldNK1gTsbGiE02vaebVOGetnuP+kLM6AgT6Tha5NHlKKWLJ8BYrjRqqVcGCgAlc1c7BSw5hEJ8UNn1EmwGcS9mZa1hTDjZitIsCChrwZ+CmnPD+SGPcT8nUhdNQo/0rSMeok2pcGljYZy4SgG7oOwGf8XQVMQ/5G9fZMrM2C1U1VWidKUPAK9jLGWFdD1kVZ4NSKCF3S3zc49fgES8HxY/8LtvdOTnYdm8PqBrgD8NlABm6j1zhTtsWsQjJBdzWbbtC4h+uMaEOf2YwH9b6nwt2qxyf1FvZmxxCqVzVGq/yhN1s3H7x1Mt6+3nsqU7a3+qRlvHBt2keEfU6PzusBn4f+8XXOFkHMcDP4H914lxHjaavU0JrTVV+GsTrOpZjX3dUE48leGO2s1fyfpqFpmmHT0wpyxJjyBuugeX2SgWDM8iyiYDWX0UNU+/ro5xjn8xgDs1ZzfPb3Fhzs7ar352B3w/MzW0Tms8bAT51Tayi0hmiE4InRKXXuJLfACshAUMNkrhnm+Glrj/OkPKJe8JDNax4fqAT32jcndSKnZurJFDzV8WsTysQAWG1gxannR+mHMzl1pK6zfBYFpDrIinp8suD7gusV/KhiWwepnqubi66Q3o7cq1cpqVdJclavQAlEcfjiCeKRoEQM4kcAVBo3ADUALzXh3spGUa+PhbwVOyRbyFuuIZW1QjSCI9ucXL3M6vVB2TNzVgOq79U45fIkLHQKfhI5GQBad6RlR79W8LPu13T9ir5b0a2X9MsV3XJFSaJ0wSHgg+65VCi2oaflwUgmG+ApZeL5SYXUJfqukJY9eZUpnagHqC/kTsdYJXKqHUEBktVLyepVETUAAiMRBRhozKPnp9NNR1VP0z2mPBGRgETd2BOUOVDD3gJh5gmN03U3Z237ol7guhlv9fyQoe+VrKdbCd3a6NAtxSCgebmlaIRPbCLz+Z3sLj/C7oUls8OecKXj3jr5h8hTY8M8tqSPeDijjH7FKYmGD6J8GgQlSPCZ7JLlL+4x29ljsXczO0+/lXV3wtGVixxdeYCrl+7n6qUHmM8gn9uhcR2XLgmXrvQ8eHnNhYsnXLxwzMX7ryK5Bxdpmjm/M0t82v2wuMETfKSUOV33HE5OdnEecomkcok+F3L5MKHJtE2infUsbup5yr2JcnOg7ESEgNwQNA94JQp+u0JeF/rG00kh3FTwOXH2rl7Dh+nxl5e0VyA8reBu8ZAipb9IWR/gim75UcmGQvS2TYgg92e6w8R6tTbPj3pIB8+PK/hcmTBtf6vqtbd5fPD8lM1182PJExr8hOCI0SasKcAJfgRCzuEnnp/gvP3tJx4iPwE/m6FwgxfIAMEUBIEb9fABGJgM2pabLKkyWEcHACST08H2I2BivddwJYAxB4QJ+BkV20L1/IhO0GIMKqVMFs9JAq8tTNXTMCT51xCuCQisiqo97Ib8HmyPTNWl059VD9X4nvEzq3+pCprOdqPXRszbU0PfqgdDFPWIUYnrV6NH6FrPT528GS371aJXNTpGxaBmbY9VZPVa/5x4firwkd6Z90cgoeZHrCEYLyoW/qdKheaC1Xt5qoJUvW8YGHBjDs0AgMZwpJrQXJ9CPy8T4DNJ7GWq0FUPl4a4OQtZGTghijESJVMMvKiRIUKYAMma9+uDGwGLY5jcqjeo6hZD3zjdd2Rkpsr1waZsFFg/mIKoAey54R7FcniGULce+o1DvUADADKvT9XNpkNjAOW1iFaWev9NJXcs6fUV2kcPfh4FzHnEInVc1bnvYe5sT3st8Knfucnpzg0o1dWcnxjUwzOEvun7xjYQjU0zoF1Jzvqs8W4UXSSrVXsa8lZKJg15P2XwaE7nF+chGrPbYjFjd3ehnp4zu5ypx8EuBwd77Ow2tLNA20YNe6se9CHszVEq8LGwt2qQG4G7WFK3kvCMIPkT0YrTdqrWezeMjZq8zzAP1pFn0QkPczU3vDHPtTPvggGfPie6vqPrlgo4LAzO+ONxJUNK+H6GWycL7bDJtzKxlAx5DWmNpDXkFZJ6KBZSZwMzRE1mbyrwxCOuI7rqZRlDJUGVZUQIPsCGf1IopaOUXj1XJVNy9fpU4+JYhzVv19ua7Ip5NgtKxOCMkMEpACrSMzVM1SPlRLFwt9z3pFVvXp/VAHzW3ZJurcd6tWZ1sqYkwUdP9GEAQMWJgh8ppEpqYCtBtjvmUsh9ol8n0rqQlom8zORVoXSV0EDU+OcdyiijLGZqcFWdo4Y3gupLVrnDOlMM/GQDQCklHQ8umDEsEH1E1dMGJ0FfDfzEmce3ntB6ICN9IienhkMSdX8npdXXJ0yp0HeFbl1YL7XtNPpFAUpoHDmpJT2EQDu7wM7FJXsfXjLrO36777iQOtYp0bQtF2Zws0Se5Ry5U3AmruieTKHmtqoHK5RE8JGmndPOdxQA3bTPs56xS7rvLk4OH+ToykUOL9/P4aX72d+LpPUBTpZcWiWOToQrh4mLl1bcf/8x999zSMprQmyZzXdYLHpuOs7cfDO0TcC5p5PSDierE61viSTZJUkks6Bt38Ws7VksWvp5x5k/0ND5QJZGc5a6oGy2a6F01vZrwSVH8okuJMLNAX/kCVcElxMxLWlLhvcnXNMgZ2bk9SXK+ln4HGgbT9tmmmZpxEPCqhPuvSdr/tpaGQBzrvnaqq9n3JBKIGhYcDVaFXHm6cfsNk8y8DObRYTTIW9+w+Pja26P7Qxbc36GELhJvk/N7znt+dH3WLgbYygYDDP+mIfhTiU6o4sbdVDqBIBztouzWkKrqjsYQqk6nFlMYNCoxCZZnbyVbW4Me5uQHpgZfNzrh8kif8qSt3GMys01XqG6CNZjqupPPTMTUYOYm9SJ2IXlVGFkrAAYLcuT+00ziYd7299Tz49Ybdd9ICog1b0o9FsvgcHSWQQGsCDWx3Tyzr0qS2AAtYx5Ix5dlz0MoWehFslX6oGhoxhVNkZDrT92Ra2FAY1Nb7wnBk8TA20TdHPTCE3QzU590I3Ciq9KXkU4DDHo2HMMk4XTfKGKpc00Z0w5uoAXZIhT0maRgYXLW1/1bgSDDkcWGfSTwSI8YGQZMErNpRHzrORcB4kC15ygtyMli+U1T1Gobey1P9TcpzrdJbGj6OarUiAwkNLr9sSi8fa+GBV4qefrvVLRe3cddOv6KnQr6NfQdwZ8OrGcHxnIDgayjDoD1Pwe2JgG6gc6VuX633/KynU8Fe4hDju3TA7nIDSBpo3MZi3z+YzOCUnAlULJwUJMVfFWICQ4AzhDGHAq9FnpdYf5oq4L0fYQagKLecvBwR5nz+xy7szewOp2cLDL7s6C+RDmFiyXx8KoLeKgblLsnSNbmLV3bjIWbG4uE3AmYov4tXPoI5U6P9f3D3WpkoXUq5s1iCo2zvXoxpu2kSB1apXB8GE8JxtNCDBw8gztl0fWLenppaMra9Z5TdefKOsYmmxeLTROilrvi2gYXIiosSqPk45kyJ1av/Na84eK0VRmBUkVIxWXkZQJ0jNsbuv8WNemiEspSKsbzpagXJl16wKHjMBHsoVvGYS39UiCVw+FDyNldrDQFG97Bw7sLLa+WN5P1RnqKj9ArmQbl3ZK4lDWSmVdUk/JHbn0FOnI0pMlkV0meaUrDgQNjxalFS7ovjfFAEGWPPHKjl4usTqWGhaBgJhnJWdKnxEZgbsuDtVCVV3u11p0qlFaRDTfLXqa4GlCIMWgxAUx0ja6x1QIAQ2pNT2oFHDZ+q0zY4fTdjCPk+bLZZtb1V8uYiQHFZiJ9kuofSSTk6frHX3v6XvLq+ojyUVyjGpIyQVxxdachuRakp/hbp4jN8zgckCCIEEZg8Vn86jp/julmFFGHEU8xd9E8BknGck9JVlYY7divTrh5OSE46NDbnjGIWfOPYOjw6tq7HHQpZ7VcsnVo2MuXzlib2/Oh97bEhvHuZvg5PAjPLh4Km2roLQaW7TrBa2T4oZ8md4LSQqFpEbVoCDUN0JEqAnOTZNYLBLzeWL3fYn5fYnLSbixeO4uCkQaXzi42FPOdKR2RW4exLXPYt5eYt5eYtbez2y2ZNYuwS/pcwcum1EU1ctyHV2CSILSgU+40OFcp+e2njjzNHNPO9cx1R0/Orq3JzT4iY1a5mD0/AyenMGLM4Ih772BH411DtNQN+c23wfz8Dg/YXabHrAZFjImoFdAspHiAgaAREGLd9RljjJJrKeCi4mibdcbrrVxjMCnSHWXjwu9mCWm/nAaPDfkTEwO/CmgcxoQMQU4Wt4KTEbAUm8wBYeod2CK7gZEIpPFeVJptY5rXbjx3m5wT9mTVKNbna/NSCiYwr8B0Gq5YfDLVSWkjKGDMIKfqoy7+hw2JyiWUM+HF9XNK1jQffFkbLtp+w370gAGfLx5BaNX8NPEQBuDsURprkAT9dUHN8Sq694paDuXMYZe8yCM5aXmQNQFLSiLmlbQGOKm3jILsnMVfFrR7XzbMmvDEyZZAfyoMEz6zMS9MQCf4nB54nUp6mnpeqHrHV0SUtI6HClatXKHcBoqdhSS6P4XfdF4YBGIKKnCsFd4UeYbb5O+MwCWJqCr64Wug/Uauk70dS0KhtZCv66hb2KEBzJ4GqGqLrUD1Peb1nJhBNebUODaz9ypMfSoRR77j8cheZ3fu9PfVbS7+fxj08vkuN51Nl+nwXLFlE3ndDy2bWQ+n5G6Dk+hE4GSKalXK6F3Y/8wj0HNMyilkI1pKuds9Lq6fjS2qWoza2jmLTs7cwM8e5w/q3v4nDmzx/7uLrt7c+bzliZGZW0z9rYQnIVTG/Axw1mwkJrh6Sw0WfdJmXoQ5FSFPHJofNonMzVUDc0zESmF3NUYU4f3PZoyrrkXIQQtuwE4P/FkXf/+1v9d9VJrjH4hkaWnLwp+unzCul+aV0RZQ1zJmrORdW8RlzMuGA31KfAjktVtXhJSjDnONsnSvA90jS2CpIL4NOQjVs93sdCskhLRCBJk3lBmPSWGgcmyhoVrqFuPlDQYEus8VHPVsBAz3TNISTuGzHjvNbqi1p0BL0fdHMw88sL4mnplsOv0tXQd0neUtCbnjlIU+BQSmUx2mewz2Rdj8BSceFzRUO5s5S5SPYzTcVYhVwV1kxylajwtSUGQgFh+ztAT6uIrMukLY5+rJB9CXcc8TYy0UQFGCJEmBpomKLV0CJTitVktp2cI0cs6tUoSezNuoDsAHlHdyVspcx1nSvejT14NYNnheke3dnTrNV3X0a1vp7vlkH6ZaC5avyqia7ZvwbcQ5sjZM+BvhdkHYJnBZ4pPuiktRfNfy6lDHEXOgju09s8UY/NL3Zr1csnJ0RGHV66wv3+ZFzz3HFcuHzCbt7jg6FPPyeqEw6M5ly8rw2RsA+1C+KxnOs4cBHZ3P8xifjMpFZrGCFZs/Nb+VXNnuoT2G1coXicKLxDFWVSGELyjbRM7s8TO+xPHH+n53aPEuggfJrCWgLjCTiicv5jZeXpPmq3Is3vx/S7z2QdYtMe0s45Fu2Q+W/Hb5YQsa/BJt5AQVPdwWlFKPNMjvte9JehwvhvY/pq5p91xzObqsVu3TyLw08RwLfgZcn8qM5sfyAtC9e4MIAcDOmEyufuNhav+PRjQvHl+Rrv2hgxzADUMYwMSYdEEZj3SASIOXHFKOICo1Y1rM32cjF6JOnCLWTlqyJtUK8PUoiWlxjeBXW9KduD8aB0cnTD2zP6Ud6d+TwVHI/CZ0mHXd9eT0/rOQ52zAcquAZ/1S8C8cYorqyW1qEetqAGuukmrq+A0uKueHyleX72e6IP6beoeN2DOh8rMZ5apYIurr8QDoHG/1VjJOOkM3qWs5XHFrmlPHp0nBgU+syYwa4PtFB9oor56U/BEqsrhzNOXIOmGgjhld0miykVyWSeWgaoOotK/mWWQqjFSwecU+IKBtQp+KtDM1k/8JpW5c5ZBNSi0o4HQZQM1YQRDaRpaljSW1+WR6EBAFVvbvyM7TzKwmUToxcDP6AQjTJZ2Z8AnF8s7Km5gb+t76Hrz9nQKdtbV83Pa+9MZ25vF+g9MSJM+PfVwuI2/xjnj9Ov1RCZe1E2l85EoxY6B733joo/gl25yT5sLrx2wta3H77SNdfWshBlgVoF86meTw7jG9K9ho+PKxKb92QUUaDSRxaIl93OcFFzJSB/JIeBFBpaSTCGJjoucDfzbJozV8zMw6zlHiIHZvGG2mLPYWeg+PmcOOH92n/Pn97nh/AF7ezvs7MxZLHaYz1tiG2iCeX6GsDbbJNFX4gNPzMYYOoDDqlDqxFEp94dNX2Us1yMVN+kr0yYyCLR5LYfu0dJXdjmH85rMjVOfqYjoHig+TLw+BoCuvdPkfqPPrkgmSaKXnl56urJmlZas+xMKHlcyXjKuJAM8LS4k6Bv1+vgAYuQCo8ucSpstklShNcPNSGevHukgmVBsb65QyS4yTc62P05Hya2FyzVKo90GfFDGseA9LngF4CUhFvY20HYY+Bl2sa6en+C17N7yYqxP1rwiKWKKOmqwwg3gQdA+ISkp8Ols89JuTUlrSu4MiK3VU1USQqK4PHh/oDBQl5eJV0nKUPYxFsW+NWAkvtiecwWiLnIiSrtdSkIqm6aDkJwy2YzNb8bWTanEU4CtbZ4+aphoySP4iU0gRt1rKmdH9lBS0XmkmD5VQw4NpFnM9xAlnqUQrA/o3lSqDykAEqaELMazAZ2w7pwCn1VH3wVSiaRnR/LVwvnccLE37cm1iJ/B3gxZ3Ia0Z5CnfBpy+FsKtF1PdtUA48kCfRFcrkxlGqJ9xRXOU7Q/FwM/qWO9WrE6PuTwylUu71xmcfNZ9p9yE+2HPwjO0/c9y+UJR8czLl1tCY2GHrYzx913Ntx484z93RXzWaTzmdh4DQH1Ng9MvOADq1/UtRhXNOeuA7cYCcMkeOYxsfPBnpOP9rz3MHF4mCgiOj/4iPeFVRDet87cfmfH4vlryuwKvv+/zNsV8/mSedvhZ8c8MFtzfM+KImtwWXOAxFNICk4lg0+I9AgJzwrHGkeHbyK+9cQZtHuB2W2KAaKEjzlHTuUJDX5i42ln+sDTXJ1h/56JF2fI1RmsWAZ+pl4fNzK/abjSSHc9KoKOayxf01ArGWPaK9ChxgTXsCQRxCvw8Tid6ILt5YNDJy5nAEjMwyBjUnuZgJ8KeFB3qpgSPg17G0IpbK64RrFlE2iMAGjyjNPnZ1IPbnICU1Dihk/r62bY2/CTUzeHMRSulnUEnEMZ6kD2E9Dl0MndMcn1UVCoTgkxEMUIbs26N4KfCp70/sEYNabgR/dsuE7Ym5hSXRXvxly5w0Pr80+jN8xTr+BXtM9Fp56fNngFP5b4HRsNyYmh0cX5FGIVS1YREoJOGsEnjbu2U8VosivddPY6GWbBKFjtQZAhZ6Hm+Cii07IPz5E12iPbLab9itq0E32u9lv1CiiALA5cVk+PAh8U/CStw2LYXbwbUKJu+Cc1atBC3uQa8FNgSK2r4MdnZ69m/UrK4NYPgAfWnZjnRwYQpOBHAVC2sLds+T71hqq+b6ILqRPDxmcPrdSeHiKfGjLA11HcqWMa9zuoZyMdNU40XKZtmM1mpEWykJGW1CVCDJo079ywIWQyQ0jOhZTr7vOZPmVSZeoCnHeqlM1m7Czm7O/tsn+wy9mzB5w9u8e58wecP3+G3d0F81lDM5szmzW0UcPeQlQaa7WwMtkTTtedMFmDqtVfzGtYSReKzUF1bD7W1p8aKzx+UqebUoomt4MaapzrUbeup5JaOA9ie+4oYdBDl2q4jautZ+xMBn7U67NknZecdCtEwEcFPz5lfDDqZ99AaBREOAU/6nlJCoSkkgPUvByd1+uWjx4/gDT1fAvBF7yFPw0kAiEQU4OUmYbR9S3kltBGfBvwrYcm4Cw0WhX/kUSIatjxTsEO9lqZmIxpbWgUqyWdLsRIOrJ+VzAQVBdwAz99T+l6JHWUfq1HXlPySvf/KRryligkn0lBKY2V5dQP61idDw1tDcCngh9nZRq1F1vYzHihz52VTEIc0Fg4X8HVxMyNa272k+gdTdBFJEVHjGrISzFSYibESIyWy2cbGPfeFtgKbDEWW8m2gal6g10c+3tlq62RG9UAVzfA1b6SB4NnKcraKQhd5+i7NX2/plufpe9uJu3eRbkFbviw8D6vURHFN4ibwe7NyGwH6ZbAHhJ2Kf5EdTvnyM6p50cqwcqos5XDwqVLwtmJ56eY56dbLTk5Pubw6iHzxSUWZ85w00HD++czfICUe5arJYdHLU0bhqiX2cJz910Lzp7fZWf3EvPZFYR9m5vcwKxaddMa7t0nEJ+RYNbG3824dcEdBPyzdKNdtwjMPtSzujvx/sPE1asGfhBCiPiYCVH37bmvy7i+43a/IrcR2sx8tmIxWxLaFe9rjjm8d013V6JIAp90r2HRME2HhoGITxr2Jj2EHuc6HGsNx5sFmjk0Zzyzp+sYiw88uvnyCQ1+gvc0je0APVlshryfCnK8H/bo8c6PAMgOdw0AUmXbT+isN0DBpAzqsdbhPkwwmIeHytVWXccybsQkGkMtlUwB0Wm7ONtd2+Kth1A1GeYkVSAt30A0jjSLQyz5q8a6T3N/BouSWWwGz1JVVv2IOSaGqsFrfxr4jNbbaRjgqQYaNGDGZ5kqO6d0ockPGQGaU+uuARVqm53yANXXUnQyl6J1S9Fclymecs422qrMf7ZYUyaWfNE+EC3sbaTx1msUNZLgxQ31KNkmFmu+MR9ks2407M0iNQbgY54kGRfx4HTjtug9wQWCi3gX8DR4C00ZKde9gp6iDaZFNe8jYpv4GcW6d0qdbGBCZGKkrIlL6GsN+/DeCA1k7Dxiz5gTA3FBxbJVH/De1Din46GCH60npbCs7ZKzeX4M+OQsQ5jAmK82PlOW0WOmOT/6WTJgNvSxupbXhUiEXNwQ/lZJfPoe0noEQn3N/ZkAn9SLkR0oq11leavhKtfr1tOwP4bv69lc890TD/zUDi6nPpu+vw74gbHD2Ksz4KBzjloTxCy1Ot9H5vOWnOYDkpaiNLs59ZrfwThXiLP5EBj3/jE+PVfDn/V1Np+xu5izt6tEBmfO7NnrPmcO9jg4s8vOYk4bI8FY55oYaaInBDZzfuraEzR3Jvui4WNof6jsVwNVciXjsOqqIOL3Ihv5kNeRkgt9BT9ZQ6TqPFcNRj54C3HyD+/xYTTyiE1wRVQR7yXRl46+rFmXFau04iStEXHEAqEIse6d4hLOdeAjjgh49W5IDblSr0vxTslQ0MXL2doe/Qh8PJrMr0pVJjghp54cPDlEkoU6ljJD8hxJLZQZ0jf4FPE54ksgNMH6kQHWot6ToaFsQdW5Unn8nYXAuaAU4tcbDlItlVUblclRBNcbecOwd1GvoW65U++PUWAX0bC3hIYuJW9bFmDMgWWzlcbMZNMyLDzX1/+C0xDn6HRPljr/G3BAPM7p397pNgV421sPcMaYCurx0S6o+pVIBdEaHqrbjXhjQqyHjt+ChhUXV3BOtDVFwWsy5jqcGkGrgbvmqRVGfsxKga+eIiWcqOFyxfLEMkLbe90HqU82z7cUidBkHsSTiqNP2tY+Oq4e7XLvPQkpcOXqFbp+ny7dyzpluuFI9H2m7xXc96no590V+hQJ0Y8haWZsLDnRd52Fvx2zvHqV1n8Gzey38FGN5n0yAHSoekAuwnzhue/+XZ55dY/9/WP29jI+NNaGDh+WxHiZEArO+kguus7qomwbDc4ScqXgzwS4W/Mf/S0QZ4UuCeskrDOsk7IkRmd7aKFzd3KZZeppD9e0wSFNz6xZMmuWfLhdcXV5QndXp9sQSAZfCFHL4gwtissICejBKxWucwnvMj4WfBQ9zoPrrY/lJxH4GZR0mYKZ6Vrq7JwJyIER6DBJTK1W7hrXbAl9lTaxJo7WRWlzqa+eArNVTjw9Mlno1PWqv8quxmPrAJaoLmrvdV+CavkTWw2rgWkAUkWtzqlaEsSRi7OEuvH+w94XNR9ksJRt6By2qMkIZNjELhsOncnvNlfCU6Fp46daX5NKm16zTmD1F5XkwFndju+nQHQSU+9tZx07T8yWVYqM5UZzT4owgGCdcIOBTaszSz6ulvq20SHStgGfoxmlZaAuHTqBq8BhXMvK5EGdxZBXKFssPFGKo3rhK4Nczta2qdD3Be+zxj+bwl5y0rAEN4Ifvbgm95LSkKCaUqbPhWQ7dydbuOu+KBsUuhX4KhZTQDfZW6jWbj1Xaps6GcFPJSgIBhhRoOFsB3MpQkm1XjaVvJLr3jljSFmxEMEyHPpZyXq/bNca+R7Gvs3kMBbyjURPlwaG3VH3gOF+OevePrmvOV+W51NkpLce2n/SF6rIxssjkkEhmfz9eEmdv7z3GD+LWg5FqPt0CVpX3kJPaoW4DWWuht0C5oEe+k/BckvUOhzMItxEjfvXQ0PKmlbD3ZxTxamNUS3K3hmwcOQ+4aVYPSrBBU6/V8Uu44KfhFJqfkAIgf39XfYO9gYq6729XXZ2ZsxmDU0IQ3fyTkOpq/V6yPUJptjV9cR7gte8Ge+L7amjD66KdM3zmbgqP4mSc6HrOsA83OJozACDKCVtKZp4PniE6pid9Eytx5FUQimh1wo0krKVKfjpBprlHoufNaYUZ7Gwg5GqKPh14ikofXJ1lWsIVA0no2rwY1ls7h32dSpqUS6I7uEVHMVngnfqTXKiQBsNCy6lx0tDKBFfGkoJNnfL2KXr3eo8ZkYZvMMFD0Fzflyou75VUTSuxjP1JEi2OauGZEs9zeOLGm7d4ILXObiIUVbnRJ+zUlcXS8j3YsY/q16b0HVM6Exec7dUZ5IhH61kIfhM8IUcLVQzKbmOZoNpsnwMDd5HfGiIoVEdhjIYtgaxtIQiMlAR6/pWSHnce0hszLisBosgQsky5OrUkLUxX0nHTqWUd5bvXY2ZmjpgRuUhzCvjshqNpSboUkPRZTRUWm/yHmJfiPf13H3ScXS85OrRCh96muOOq0e/zt333ICPc06Or3J0dImjkxMOj45Zrpb0KZF6Pbq+p4iwPDmhnc9ZntzH8t5n0z59l729Pfb39zlz5gwnx8csdvfZ2dmlaVszPmions43De1sRts2OOfJObNarcE5Ll9puXzpiLs/fMQdn3HMjTfdw/HxoYYvArgVPhwzn3fMm0TrE8HZ3JwwYihHeZaDmzx5Yfl/JeKWEf8U2MmZm94PpfHERYM4C1NsZ4TQEmcNO/ueZz1X6HY6yjE46XGyxrEGegOxpheL6kBVFxKx/cCyeutzGWA0zgW8j4CGRHYdhA8LHOnz9ReuDbd8OHlCg59BrZ4o5qO+U9XM6q1giFkOpjgPi5SbAqBrPQt+UNCH26qI3meYCAcDZ50kK9W0LQo5G/XqZAGxa4kEs6hoI294WgyU1PthQCploc+qDKpr1Y2hcI5hJNdFSSba2gaQcROQsHG4cdPTiSLphgucOne4Xq2nse4VNJy61tBO9dqOuvrVRHu9rn02BT0TBcNVi49du1hz6DWL5ZxUc6p52E4pLxXUVABUp/DWPIuzNhJLrI01WO1Ghia9tkxuPdjXBiAxVo4YYK2JmTX3R8S8EQZ8glc61JAdIVuolrG9MYBBBUAiZeBflpyh2MKYNcynL0o3C2IJydpnB0rmWlzvLERwfCYGYDFZyKumbt6iCoBCHKA7zikRgQ4L66t1QhsuZf10KL6M/dgAj9R8t9rHs7OQR71ONu/LUPN+2s9GGlnjgtC9hLzerxQZAdDknFxZ53qnbH/9uO+PEh0w8UhdC1Tkmjen5dQXMvb536u4h3j/SGWgNrf3Q85X9SCLmHfRgNDAgsEYWmvW1hp2W40Kw3w5FG7cmqCJSmjQNEqP2pglOAYPbcQzp4kN87ZhPp/RBE8blRkxOkff9eO+H9kQrMV7uOLxWUNs9N7Vpa0epb2DXc6cUTa3M2f32d/fZXdnznzWEpswGta80fGGQGwamuiUgcjXW40RBxpG7TXsyow86hiZkh3UepFx8njE7bx58vW7zuaMVCXnxHq9AiCEOCgfNU40N57SBKQEikSEkc5+EwDp2lKyzi8pdaTc6SaWXU+X1vR5rWFvpaMrFfwwABonWXN+GNduzeXxmN9u8PoYLSZuaiawcV4DKzRMXOvYZRk2wKwe6eRVH2iSepZ0Q0z1MOXSEKQhZPX+hBzVgzN0AJt7ai04BRpO7OLRqfUn1LC3WltWXx6cVI+fZZ2Vuk46EMF5zVEdFPpSI0TUq1Gk0JdEl5PWZ84ko5coWDieNZTINFS/5jpvMuQG031KFnII5FDIoRBdIBSnnnU7j+IIocGHSIgNPkbwZgzJVQ2yhjDjYd1UGJR8REGP0V3njAIyW89xECDZPkq5FNvfZSQtkLpgDnuDaQpDqPnbg76H7eWX1cuRipLolApcJwZr88AOQREOGincfzVxcbnm8Ooxl66cgFviY0NoZvh4BecCy9Wa5XLFyXrFycmSdbdW5T1nSlKjYy7CyeKEZj5ndvwAs0s38oHn7PGs/QPOnD3L0dVDVqsVs/kOO7s7zGYtPgSdf/ezzoltw3ze6nfekVJmuVzR9T07O4EHLx5y4YFD/IUjnnLzgxwfHZnxuxoDMm27ZtYm2pCVFChbmLA4JDty9JRWYB0gR6RESDrB+afCbSEyv9jy4KUFtI4zZ3UPJpzm4D/tqZ7cF7plj/RZ86Dp8RaKX9xI7qJLwpivnnMFvUrNXiyNAe/xLlr4faQkT9cBx5q3BLC+8uisR09o8FOV4eH95BXG+FP16KCeHjd6dja8QX6iVDtjeRt+b5PsxsJiS7iri/2o+g5en4HRRwz4WOItVWly45VEdFMsL2SvrmRvE62GG5hiVK1Z1XKSZMIkolbtoQu4UXkZPBqDvdOOCaipFbgBjBgBxxQYbSh7EyA0fjR6f07rywPYkmmDuY02O61MTgGWm7SRhib6gZWtghgsfKOCJzcoxsUs2BqH3zQKgLxzYxhCtQYB0RSl2SxQilKgllLj84tZL0qNVBjA08AsVOt0kptULYc1BrjO43VdL+ZhSL7QO4cjKeDJjpA0AVE9P54NcFjqRm/KoCR1R+8yAp9c8gA8XA1vqwAUNtrY1UWUyWKGLdBmnhQnuvAbCPK2CIZ6pjfAVjTGWD2WE0cAY/iXghoFf9W7omGIbvTsFJCsIS9kyKq7WhKpXW14GEZGJjfuNF9svGAMfjkz/HYASaY3p96RahhegpJ0cq6eqI1wNzdaDh8a8Dy01J/UjSc3vpsCrUco7tTrw933mmvLCFFqnsrGQLZOLNYXSika+CB1hpkAH6kKxkgwMLDduQqSNZQkBiU0qJuYxqihTDF6vI+2B4dQ0ozZvFVrdJ0rpLBerikpk/tE6RM5JXAZ3WjUU0KgFBm8v4RA8J521rB/sMf+wS77Bxrutre3YGehika0OWLQfb0jhkgTNHQlWNhW8OpFUKIcC1UNGHuoHypcwb2GUVWjy9j52HT/PUwLXw8oD0DV/vkJ2f5UNLxGwU8OjTKDDf8g9oGSAqVtFHhIsIF+bd8pxfaOyT0526acvXl98po+d3qUnp5E8rr5pIZ6a8iWc9m8dRZCM4ld1QA2pflyDiUhGEws1jVtzi9Orf1j7oxNLLko/b2D4AreCbn3+myuUERDyBqJRGkJJRIkUiSaF0cPQmDkEfM2R1pbBFU2XPX8+MA17SToxFVD5yZ2AGdXVVp+jwvmSTJSmWrIyxb+1eVEX4rO71KYUDFY1dVEOgtrtpLXfOcYNNctet1sumTIvpCc2LUyQYQefbTgMPDT6ibEMeJDVKZPavc1YwcgIdBhBqass36SomBAMrkkHa/CBvgRMQXYjrpXodS8H8TyV6Ea7Lz3uOgITinvK6DzYuyiqUBUllWXbXwMbHYM6zp1PgKiy5QusVyuOTo64erVI92iwQckRHAaFtr1Hat1xzp1rNdr+i4N46IYwBVxnKxOaE4WzHdOOD65lysXbqXb2+fM/gGHZ86wWq3wsWG+2KFpW4JtBOxuKsro1jbMZi1t2yJG3tGnjCwzVxeRS5ePuPjgMR+5cMTtzz1hNu/NiOdU90wQQ0/TJNpQiFJU90gOTbVxpKRAiOyQHJAcIEUkAMmT9xueujfj/M0ZaWBv11uEhCcXx9FVQZIYC6OGLGpWulpvpW49IGYARgZDcG2HXArZiC7E0kCc7Smlnp8Anfa1voKf9ZMJ/KCD2HCBKcwyfFcXVau6cTD4MRxO5ys3eIaqZa+6hacKN0yVQLuxbHI5bVhGjcK0VKahrCFIIjJ4JwQxT0PURTMEgtcEcrwnGKpwNohdVSLMetInDX3LeQznEauXGrrnHBPmt03QM8E813p4Tv/NpJ5PH5wKeRuAjxtqCwuhui6Ftl3jNOpx5pIfrl//WfvVWN/gT4OfOqnZcjLtG05jjes+OrO2scVz/G1t0lkFP21jFkKGBOxsynkWVeg1d3Hce0YXIDf0qcqqp8DHWU6QTjpOjZs4geSFkAu+d0P/Vgug5uaEHnxQDWkj9E0Kut+FHmJgpy8aFpFKIVksdAWfbjJfbLTJRMcZGLEmSr7ZsHVttWPYsFRrnODM0+OVxECBnhs8O1XXq3Ul5iUdvheZhAcybEDqHIZ6rH6LeWJqxdcuNOm7E64QBWGpxpRb2Nsk8qiCsGGj087e5wFXjuefmg4+HnI9sPJxuvQjlumcVqRo4rzFtxWKhb94nBclbXEMzErAGPZWW7kUpi0+AM0CNWwyek80go+mCSP4aXRfkCgB1zpdBMXR9z2N03HsnceLsGwa3TBv3dH5zuYqh5dgHnClFg4hWrhaQ4iB+Uz39DlzsM+Zs5rns7s7Z9YGZo2nCdHWkQp8zHPcRGN507wIDSFS8BNs37jgq+dnQnhQ80emYW+fZEk5sVzrRogxtJbTZ3OkCM0sUHJQOmlp0RiquuB6a0udd0olEsg9Oa8V+HQdfb+mT0p00JWOLvfqqZBs80Qw8phs4W2j9d0ZcyZGm009zPtQk1SGsF8Y+xQ6n5CU2lxyhr4ouQKCI+ERlCOjoUhPzg25rEilIZaWmBtiNg9QE/GxxTeR4BowS3dVPpxz6tkPbnABKvixUOkpADLvpzr8BSTbfDxZNxF89uM2HcGPyfxo2FuXLackl4HVszgh6x6t1H2w9e7TdVqrMFqeTRuD7R3n1fDmCtHptgjFO1KAGBzZO1IbDPxEQqN783gfNSoSNJeVcb4qziv4EV0nAfOIlMH702dNnMejeRvO8rUsPE7TQIrtk1MGrjrQvuDM6OaCemSDkVbFmtpg+bTkhCSPBtlUhsW6zsjGfG7qF937hA+ve45PVlw9XHLl0lXWqaihGSGLRjLklDS6IiuNfsl1oWLwnJcszHfmNM2c+WKHdnaBKw88gyvnDzh/5gznj0/Uc+0DsZ3RtDNccEZ6VYgx0jRK9tLOWrp1R9/3rNc96/Wa2HgevHiVi2f3+dA9R5x52hFPv3VO6iuZg5L1BNfjXY8n6W5QZngtzlNESBYSX3oFPiU3SG4I4sixofewjkITBFkLF64IpS8DLbn3ieB7fOgIrqdpdKxfRrhYoHygAk3U2zxsL+LNMCmj18zLEDLv62ZABHJSfdclwXv1IvfrJ1XYGwyTDwyeBI3znCjd9TxG62W1h1Qdz01er6d8XOeuo4dnMnCq5b8ywgxMPmYBKOb+rGEl6kEA5zPBQQrQ+0pLqNaZWl6pScB23er9ydkZc4daqAUGd3bdjGxzD4kpsNPJw5UpKJky3I15VIOCO4CiyYR+vUqrwKe+yunTHn7Bd6bBTq35eu8J/TdjWw6kB5PvhvbcADUj3bd3IyjGvHHOFlzA8oFg1uhu0wLKGFTMjW78/6oSjEmE1fQmFhIkld7aBvrA+jLx+IiBEZ+V6hnbjK3mVISAbm7qC96rFVbbocaVF903w8JIpGRdNNCwgemyUceLK+q9GScjhqEyWvEqQGdsBzSkdGQcrI029hFcJT1Sq44vaEKjPffGGIKxXuwANvNvKvgQzJqnXiXcWPZ6vps2eVHF1HJbCTUayq5VsrKCDSBLGM7NefQUDQQj5VR3+iTKI5mbHsu5Dyu1w1zzkVXAMHa0rwxhb1VBGdShcXFybpy3Q/DM2obFYsbu3oLdfSUc2N/fYXd3h8Viwc5iPnpTLI8m9Un3gyi6X0vqOzP86BpQBkpcp6QpInjRZOwmNjSNMUw1gdl8xnwxZzbXePqmtVyeIbTWnkkm84bztiGjgsDgC972zwrej2DHuXFM1VCnNBrFBlzII8PQ41zoTn3uHvbz06KApR/+zjkSfCDnSAmekjRkp5QekR4pUZUR8RYKriUuRS34OXekvFLK3r7XsLfU0+U1Xer0yEa/X4oSvfiiRCxFrcPexpcvOjcVcfaHTiCu7iJN0Xl1cAePWz5UloucNAcy9/ocknTAe8k4lP4/BiiuUJwCiCyJJD1REqEEYonE0hBSQ2wTobQUKQQpBmw8mgmjHqUSZFjn6jrkq7UQM2aB5lfYSBpy6+qwGb4pm/qD5b6kUvN9MutePftJ1Ls/hP+KG7CiMvAESpgYhbz2ycpWWj1Ctb9ks45VUOe8w7fOmN3MeNg4o1Aen0eirW/2nNmNoBSqHlJ73NjpB1yIAhwnedi8W/Myi0UOFGNOs7BB53BZE/h9TTFAJrngjGNXe70eLlXVcejL3nvaJjJrWxaLzN7xBS5cPuHK0TFXD0+4evWQy1ePWHeJnAu9lS9ZfmrKmTToeupdrhNnfb88WdLMTmiPj4htw5X738+HZrfin3YjN2XzUOMsrK7FxcjO3j6XLx6xXq7IOeu6qg9Izom+7+jWK1YnkZPjFUeHS65ePeHuD5+wf1B4ylMdy6XtM1Ycru6ZVaDgkRxQegElg8kOknhK7ynJ656EvSdJoHgNf2wcNLaPoORC6bPllWeaWGiaRGwyPna42CuZCmY7yX5Yl9W4qd64abRHsbxnAe1zHlM0PCk7yLa5uuXpAbB6EoEf9bAUe2/hP5Uu2gGiG14NZt9K/eM9gtdFyPuNBUfsd5WxpE4Jm5sS2tkyWg7Gw+Kfy4RL3Q5t1JoYKsZuqW7dCjhCyOqWNyVctwwwNpvBg1HvrUqpWh6Uitk27MYHRdR1z4nq9RkUfPOAiVflPHijk6x0rBX4eB42LwrY8PI8nOdnpLp+rCqjjHVuiwalDMZIZbapVtRRGWP4f/xdrbtB465eMsZn12fTO++0DVWJS9mTirfXRCjQi1ruetuDRtcOrwmcyVN6ZwfqErbEywp+Bs7m2rVQkoOchZCEEAohKOhRZWuAfKZc1fA+3cTNoUpFGTYcHPuYWLhb0ZVG8x2zDNTNOVmogVh09bBgDYWjxqbnhO036JT9TEZwXEGQD/aIop7JEGpYA0M51KO2aX2rTZONijrY4u0CYGFGykg3gihExuR8K4O3Zw/GnBuC6Gu1VjICmZrPU3MHNqwhHzc08RhkMmQ2ddnrF0qLLY95pE1zSQaK5qkX92MWVCbHiKhNJ9FLBX0zn7cc7O9y9vwBZ84dcO78Gc7fcI5zN57lxpvOc/6GMxycOTBPth9Ckruu19C2vqdbr5mdtKS+p+RMSgkfHS7rvCkECxkGnBAb9do0TUPbRg2hazy4TMo96/UK74rlGTVEH9Xab48zhIjZnKh5E169P34COGw60lBW9UKkviijVEoa2mFeS93Q+uFr9zTAqcax6edDe4HmvNRW2XBVVinWpmNEgHquwKFhtCX1pLSic2ZZdwGxXCZA6ZZzpx4fo+vNq460Vs9P6jv61NH1Zh1PqjAqtb6BaKM1ViCkwCfIJPpvauUycg2pIbxVCcqWt1BzF3KmpELpioZBdsVC6SwEpwghQh8Ki5CZOUg4GhF8yYTsiL3Dx0DTNjRpQdPMaPKckBq8sW86F3Eu4F2kFCFODCMSGOZd71TvwCIHho1W+zTM/UMOrEDqLGeqW9P3Heu+Y5Xs6BMnfWLZ96Rc6LNt2puybQIa8AR81ryp4Ipqe05D8nyoa6F6VHxUMCpJyL3uh1V6fV9SQroMXcH1CVc0CgG8WaBEQ/MAZ5N+cJNIDFQf0XnfDR7TpmnIrRnrnNf9Fq3v6pxcc30MWExzgIwMwWch44f9c/oitD5QgoOoFKbRgaQOyWskr8lZQUTdExIzVOzuNJzZm3PDuV1uPPcBLn/0o7zv7gvce/8l7r//Eg9evMTlS1fo+qRRNs6AmYBkKytQbGEb2GgB51X5b4/nuKD7GoGOJymZ1D+X5932bG48cx6iw/URLzNciFw9Fn73/3yE+++5l8uXL7FarclZjZtitLG6WWoipZ6uX7NeLTk5OeJDH1CP0e6e7qeU+0jOHiQo1bp4igSyC2TfUZzQe9VRx7Xdkzs/GODFC7aREpW2VqS3chg1dekYcumygSRn7Jsl28+85tImR06Ovi+2ebgjZ69hysN4cMPcW6nD+zzm6gK0fX5k0cImT2jwc81kXiccqv5bleWiKNMWcAcWCuv1u0Ht1Q0undE2mv0QdXkMtxjuPQU9ldhAqtI4xDWOinaNKdW9QWQAPrmIUvg5BldtcHnwSiAyJvExTij1vjmLeX2EvtdOGcQPMYHK9lL3JpgopxUEOUfxThf0geBgXNgr6BnCzmo91vNwm4tyNfsPSqN991ChHbXRhkbcJAGeWi7VO1JBjy3ZA8gdweeUtW0ASdPk4uG8MoTrDMUegNsIhuZNg7f44BQSfXbqocuCT+CCmrvEi8acA754NYElR+kcuZ9EpQ00yYbf7ZjGH+cs9AZ+g3eEmCebKJr1BLMgittQXLwxGLmgi1MNTfPBcl8QM/4YPXQy+majcE4GZLKBkiLVsDAdZAp6dN/BkS2nAh+1mtfrCDFDTJpsbOzew36qpZw2JGh7lzLuReA76yZmrqwgfQintLLVHJwNinYnwz4HvoYoTTyZFUMOnp1qQTVlq55zPd102ltHe+5jEwd42byJIAP7+KjJTgwhDyVSVWl5xAWqBovhdm463t3o8WUChIZxXcOVBk5DxDwulXVJnOagOE1qxHnHYt6wt7fD+fNnuOkpN3LjU27g3PmznD2/z7kbznH23D4HZ/Zg8OZr51mv1hretl6zWi45mTV0XSSlROgDPgZc73FBxnqw38cmEttI0+reIm2rYXAg5NyzXguOjKcleKGJjlIMxVdrLsYaSaipHsMxNFNBLfjJCG/6Muw1lPs8eH82vPK4ob0qfK3tMM7h1YDlh1cYgeoU/GysVdN7IKPmUPf2mpDfVIBRck9KZkSTiHjNhcEHHM4ol9fktCb1awU9q46+6xT49B1dpxTCfcqkVI2BTr06Vg6h4EVJc70YM+dQKfbc3iYYs1wr7jEvUDZafGODVLBZyOtC7hQEDROueZB8FPrgSD6zBmY4GnFqcKp0ukFo+4bZbE2bF7Slp8kzgtctB5wzIOQj0fqHMl2aUcrCsosXAtVAY6GCSemsJdd51danIuo569d0fUfX96x7yynpO5Z9YtlnVl1SJs8+kbpEXickO7x4AhEvES+251ADJXpKdHqIJ0dlPswWRliyaL/sk9ZZXxA76DOuywPTqSvBmO0KLtt7r/oTde6s84Qz8gfRjXODAaCcG50jnIZve5sT7BaWLlCMGEHHUSpiES9qxMrUUDqlTZdYkOjxpeCj6jZ1H52cO92rqCRwQUkbghqJF/PIwf6Cc2dXzO6/wP/9rQvcc+8FHrh4mYsXr/DgpctcvnxVNwVFgU4e1iwrL7qWUQ0jk3EKcNye4Lzet9hq0a17VquOwwvPYu+ZAVqh3J9Ix4mShPXJnTxw/93cf/8DXLlyhfV6qSGmxVIZyKbfZUruSP2a1WrJyckJi6Wj5BbvWyheKbyTzmVqsIwUyUhwlKBhESUkNQT2zg4N/fbiVJ8IKImIr17UBLlXVjcSjh6RmndcKLEamg3DFKesiylT8niPnGTYQqIUy9EUmwXFdFivUTG9EUJVQwrArsvsPMS6dj15woMfmSy8uks1tvKYClSK7kciDmeenkEZZkTkuhQY4KlxRsOVC25j+dTrjy7p0etTN6orG99PWd8qHegkoS+PVvno88BIF31RC4ZMKLonC9PgQRpiaLVTYIukC6atiS7qw8LJdPHUCdoPuTFj/k3dO2nw9vipIjQBSDbJjQrRgHom/9snbjxONSabStoI1OrJGjtbgYufgBgFsc6A0ACKh6OaX8eFhTLZBLbyJjOCY2/PVMMUFk2LtwW4z14TRB30ztZlUW8OXmz/CQu9zA5JDunM69MLFpk2AOIKfuprceCKkBy4BM5l3QsgV0pdWyAKSM2JESYWaLWyeQ+h5iBgSplRUFOBs2DEGSO7Wc1vGfKZDABthMRNIplk8FzVZrN7R9v4HF1cU4IYIfS6uaqYZ6ler1j/HLw4WDx1ht64/CtLzzjqGRUjh3p/63tqk+pvBuKTqqD6yUbsUaj7EdZQt6ErngY+k/uzMS88VsgzkQ1DQL3D6MMZiTvsm4dDP5P6fKxy2tNQjR0bto1T3p5aVVK9CdSEV7WIVk+cCwrG57OWvf0dzp8/y1OfehO3PO2pnD1/wMGZPc6cPcP+2V329naqXcTGMKzahvVqxXq5ZHk8o503tKuGvumJTVXMFL060/Wds0ClprHNUltms0jbtoSoz5ByD50O0uig8Y4cI9JoX3XihvwMr+qv5ZTaHB2gMkFmm3dKUkUyJ/VKpZTUG5HyQHrAUG9uMDRMQejpdqnsVqdBkJ+uXbb+iBHuDFexNWTMka2JyaPxBASyhhSWAMllRBrER92EVCrdbkdOa3Lfkddr0qojrdf03Vqt0N2aruvpukzfFVKviqyXmjck4HQuCFIIeNvscMxzdVaeMfxwki+FenpKMmONGWR0r5ZCXhVyp14MLM+KqFEBPkDvCmsHrQiNCDE5QtA9RVzQ/VkWs8hit2Oe1yzKirYsCH6Gdw3etXgXCX5moMfTmHtTcEbGE5S5LqhxIJvXJ6dM6Y2ZsOoRFhqpVvyOzkDPKq1Z9iuWfc9xn1h2iXWXSeuOtMqkZU860WTGIIFAIXghlKIkDTOHa4XQOqRxppc47RcGXIqB8twVyiob6NEwTUkFlxSoIIJLWSfQECAUfBMgGivX0NPExnxlskU36s5K21waXUB0WjMdhEmgrFiYX1bQnJJYnlAhJ8F5BUMxjsY1aQuu8cTiiOI1FC9pHy3WV6UknG8IThkmm0bBz/7BgnM7F/joey9yz70PcPe9D/DgpatcePCQiw9e4fLlQwVhTjS2whVTWyx3peqX+I1x6Zyu0z4ea79wXr0Xfc/y+ITDw6ssdu5ncfdcw9VTp+MpJbrVkquXL3LpooGf1YpkeUWVAt4ZG2JJHX23ZrVesjw5Zr3yfOQjhd09h5RA30f6zpGyJ/eBlLUfSBRcU/AxKymEG8kPUufo10bx4YFYw++VhMSTcNLhXYeTDt2IWPUqpY4vY1CLQ72yycareX10r70y5NlqVIy3VaPYZvCO4gpdX1h3sFoV1r160gHCLLPzKBDNExv8DFoYDKvxsI7oANU9Acp4PpbD4MNgDdPPamyqYPRRQzCoo3boU3qJWPy2WSiKTVqlehUqODGgkgcrhsav1njRnNWa5bEkPZcJQBOc7v8jao0bclPqMwxAqjK/KRLWU4KFUVTWutECCHXxVEXYeWcLUQU0FW9ssuPV36gH6rQXaDyowIgR5DiYhL250zX5sE28sexbm9b9G+olxyYvk2P0IpwOTRw2M60AyBCPEqfVkJbRpr9oGqJXZaRPjm4AFVVzR/dscJowKFVJMvBTvLMwAjGLB5XldQh9k+pxYNovtRJihJic0v5Gfe4aNlcPH7xtmuYnTFlC9NULVMMhZWA4U6+h5YvlSdhbnoBz0Vex+HGp7w1EjcQJFiTqxOiAIbbafilD7G2dDI5gYX/WpIOnRZ99MlqLArJ6XmWKq21amY3cBNxcA65rHzSlbujDBtBio+WMlsM85DHV354CPo+LTIbLdEw9fJjU7yHs7Xoen0dcyGmOj2wcDsBXL5xS+c7nDQd7u9xww1luvvkmnv6MW5Rq2pjX9g522FnMzRJs4U4FTtrIyXLJyfEJ88WMWduyaiNNH+lCGDb32zBqGK12bANx1tDMIu18RttGfOW3ykUVi5xog2PWeHJuNh7H2bowtVjr3mEKggp6jWpsGZK3U9FFvkvqAUllWEPqGHq42fG0NXmg9z0Ffqaen5JzJZbe8DCNbaWvFWQMhDhk86AIzmtYjcQMMWp4bSh4F8il0/18+o606uhXa/r1mr5b0fcr3bBx3dN3Sfc+ScWo4qvlROdN5X7RtdJT0Lx946rTxjP9WJRcZpiTROfR3tgbe0fpIPeiYTQnQup07pW6fljYlw+wFmiAdRFChtAIuM4s2R24NYudyH7u2NtZk0vHvHREP8O7GSHM8a4l+EwRmBm7ntTweuO+rCHkdd+ZnBX45JQoaWqM0/Wp7zu6vGbVr1nnFat+zbJfc9x1nHSJVZdYrXvySSId9+SjnnSyhuQINGo8dYIQcTHj1x6/0LCnOOSgmrcnar2WvpBXmdL15FVC1mJkPKpYuayakrN9CUkOfMbFqB5ep32xah2V/qdS2QNICTQxUhoL23KtbX+g7Sm131rYWxHz/KRESkKXjOgpFZwLmsNZjXcRKAFfHI0EMurZKqlDco/kjpJXlJJxOIKPxAizxrO7iJzZE/zFy9x732XuvvcB7rn3ApevHPLgpSMuXT7kytVDkiWVFjMyVLY/7aDB1qNNo4RzlqNi1NVFZKCpPmwOadpI07TEECk5USxUNKeetF6xXh5zcnzIcnnEaqVhe6XoITWHTRIpq7dwvVpysjxmtQosTxxIoJSG1EPXefrk6btAb+HqrhVCyUQJOuJcHrZ56HtH15nBJ4CTgi8FF4SIJs96epA13nVUY7MUUVrrqtsAckX7m4a9qddHNw33xqoq+nnWfQ3V8KoGBfGFIp5uXVguheWysFxluk5nt9l+gYOHWZ5OyRMe/NQQF/tzwyI5uJDNcu3sb1dBi1Mvj7pZa5ib04FezQ+ewS1bbzFcvtQQpVHRHvMX2AA+xUIOqkowTe7SxG0hex3QwTl67wblc7D+TV6n+thGWF1WROBdUfaOUgalr8qgPDlN1B1YZiaKzuDZmXh+htA3P4bHcaosGyWdngDXD3u7LjgZvQFiVl5n+/UUp2tfsbhvh4Fbr1alXCyROJvHzZKe9XPzkjnI3tN36r1xAiXWmP0aVmYdKWRoGDZ4ExEybrT+isMVDZfUuH5H6scQMMliifoWTtYrAxpO8GZhqSxxUi1IYkuG9R+HPndxNTxsWtsG8E0pqO2n1ls3eDjG3CsZnWF14av0zQZIBur04b32UTkFgCgbPggqNbY34FAppmH0toSgodjZQwkGwOw7hIEFcRjLFci4+rSOSiVePVciY6hOBT+nu2Ltjq6WBQVosRmfLzfqBer60QNWx7NUMHQ9rfSxIoxHIacf6brJ7dOTiowVcT3Dzce63zXXHz3CjxQAjjNmvbM2qoaIqUU8hkDTRubzlsV8xu7ugr099fTs7s5Z7MxZzGfM42xjHiyi7HDHeyec7B1xdHXOYtGyXDasu6D5PmoPJYvmPXggu6ye4jIqwpU+Wa0nVk7RmXq6/0dVSod8QctN0XnAKPfNQ646fRmAj3p+VNktKQ/5PwPhQeERynXa/WPImOt5+vNCymm4Xko9IUSS74w0Ilp8boDkkVmwMLqCJrYUvPeDlTqt16TVevD69EnD3mpuU0qiVPGic2Dd38yCby1L0SuRm813HgUL1WPjq6UlieVO6txZEpS1jdkO8hrSWgFPWhkI6mUwaJQA4opSIwPZCaE4ogguCdCDdCBLYEXKSvagBDKZVDpimBP9muh7vJ8Rw9wUNUcr5vcsKF14oyC15AhSKF0ir3ryqqN0nRJzTICPlEKfe6UHTz0pJzss4b8AxeMkqNeuZF0Uc7A8Ku3Lgwd84jGjKp9ew5GH+vOCdIXSZWSdkTVIEqMkr7qTdZ5siwjOQhedstth3kM7rb7OFzMWexqUpOF8kbZt6LuWvu9sHxzL5ckZnwsQBn9xTpX+R5Rpsoa6G6OiNyMEzvQMcTZOi83flVxEQ8UomRCEWRtYLBr2d+acPbPLuYPM1Qfu5f4Hr/DAg5d58NJVrh4ecXR8wslySdd1ulmrVyIITZ9wuti5gG7W53DO9LBpGKrT/ZHUuOFIqRCbJTE0ZrQMeB+Q3Ct7XK+ALfU9qVvRr5f03VJzHU2fAWXblMpQbFbUmqsnkmiaQkqO9cpzchxZd5GUAn0K9EnpqYMokBGfib4H78k5knIg5UDOdf40YOLKkEs8aLbVMAHqAS1OdaWEEXEUmJlRV0Rzmk3P0BC2bBvfWi5V1v2lStaIHg0zFFZrYb0qrFeF1arQ98b2Nn/EkyjwhAc/UzkNEexTqVZ4Gwiojct50YndawKCdzbpBu2aSgntjQWtWsw2F/7RQj9aojeUdyuVGfEHJaoWdVRCzf2chRSEUISQJ7lBUjvYOJm5U++HDlWV5QIlKKTziOlCFShWECN4sYFzjedHn3f0/HDd3J/hPTXs7SFM5IIp7TLUQ1UoB+/MNCzwFPsHdd+lqqwUMZfqmEwKIwtesUWiJkbmIU644IqnF6WPJBdKk5Qu16vnZLCeAtL2MGfYbVowRSbLsOdLTmpZ7GxQrlZKPBEbU/ajehgcbvD0+OBoF04n9V6vUXuxlKLsb9V7RvX8mXfHQtqKMOy8rZENtilkUPrSGAI+Fs1vQROMpVJyl1rf03rHFtZJPtrEA7QZnueGfjw1CziHUdQKvui6qMRC4zNEj7ECTcYODMxDwzhx0/pTr1cIkIqzZCGzIk1+I5OxpQWagH7r397VxG6tt5rjFJJOB33d3LQCoLI5hjd0+en7hxT3sU7YlOsoqtcYPmwx9dMpaaoQ+4nD+9HdfXLTiYGjAp9H8rPrlNeboap6koLX8M3qqQyDtzJYOzvLdcMIYARHgxt41SNhFjk4OOH46Ji9vUMWuwvmJyvdKyN4xBVy1hCz6vkBDcEJ3hEbT0pBj+h1w7+A5vB4R9tEog9DGFkpqigqQcFIaINo7osS0igI8k5pcClQklp5NWwnGxDIlDRea/QmMTXnPaSoUcsMJWZ8Gwx0k/6TbYuDkhVoDd+IGor6vrfrgf//k/fvwJZs2V03+htzzsxca+29q+q8+ujZ+pAQQkF83LiBIRQBDgFBYOAgSwYWLhgIHCyQJRNLeARYhAJsPDAJ9BnEvXGveEgtiVarpe7TfV5VtfdeKzPnnOMaY8yZuXZVt84REhF9v1WRtdZej3zMnI/xH+M//kMu7szzQqXrwDgkhjVSxkhaI2kqMPqWChIC67KwXi7k82y5PrMDn7yQ87pFejyial6PJnFrNKbgjqTi+TFBouflNQeXWj5JcyKuZqjrAnVWNBtWKSudYpzPRnvLi3qUzcFuEKtZIoqk4OuriyUkJRSl1oLxkzNaV7RmNBldbakrlzUxpoUhDgxxIcWJIW5GfK6FqZpwQIypSzDHFKBCWbKBnnmhrCtaPIa9M9ZzNcBTi1OcioFtA2mRFAbGYSLngEyBUKLlma4YdZBAIholcxDCYE5Lot2CoEqutg6WpXaQyeJeqCqIFdt4Amp0U5KjokW6hKYQzdnWLEvvys/u7nj27jsA3idMjj7nlXVZWLJR25Y1k9fCnDPnYSEOA3FekbAQciavlZQL62rjSTUQk4lwhBiJ0WS7h50Dc1vnttcIDGngdBx5fnfixTvP+Mr7z3hW7/ndr7/ik09f8clnpu72eD5znhfWYvWI3jqX2sLtGQYullUtDaLNPSLCfDnTFOvWNXvOUfT5Llq+lN/vUjK1ZjSv5lxYTVCkePTU8inNkYQ7klI08aoolRAKQ1J+/KtCronX9xOvXh6Y14FaHdRoQFVIKASL5kg01dhaE1oH2zT1Jb87KqRSHdxFTE1I44A5tLfIoorNQ2MuHG8Kr0MxJ7IWcoElV5ZV7J6uTm1cTXChVMjqtlu1elbzYtGeZfa8n1V9rvtyq9wPNvi58mi9xSPpHU8x7qiHcTBVCuxvLGqgbLUset0UNoN0T0Zoh+new7qBni35rXny6dEe2BtqTU2rRYlwapxRkGKwianU5rlrgET7pXYw0A0zPxfBQoQ1OHiymitXJ88TAOPe2H3UB8RrtwhbQc3Ni9ENip21I1d/Ns9zvyHb7VLaSbNR0ZpnZpukmiEuYAsX4gCoohKQ4h5CX/i78d49ZHUz4J16YsmabsCUSlmDFypskZ8tQVH0YKdbCio2aGuuBnyy0mqK5lVZZ2W+KOfHyppNSSjEJlFt7Zs8jyom8xLnSO9rZngY171HH9UWniDBE2ddwS86UGhgEjXwEwNjjL3qvUV9GoKX7iltlLu96ELrh6X1x7Z5fZ19nk97bkX3+hB0R2CpTZVlG3YiloIxxBa9sXvWajdU3UVafK8xigMfA0EhbsCn7XMDJdopcVfdro9bj+16QnqQFnW1AF9wNbit0Co7EO5GatvX2xZBvRpgXH/jyfz0tijoF3zsKaWtBlY7xAZFq4E7VXfwbPke388/9pTuth1ve90X836Nm7neTqHNlj1q1/OutNPdYrQCw52iGR2UeA2uRo2z+2X5NTBiy9ZEConbm9fc3hw5nY6cjhMPB6sRZLlmbkDW3C/c2s3qm+QcKTlTqtWz0OjQKkKKieSJ2UH8ftdqycFX8745dZpSWwM/3W1RncLj0tZGKy19LtqKN1rDibTWbGtF6+vqc5IdM3huQQM/+7/3OT+N9lZL2RxzvvdSCsts4CdGYwCY4yiT00LOAzknxjIwloGak+WmeFKcjqY+mS8z+eyUt3lmWVz4YF39WrdcWFzqnyZQUCtkOyZViSFSY6QVjA3RB7fPI41iXJeKzkp9rNRHtSDN4rXTVlCPwOdcybMny5cdvTmABiz6TjSKWgjoADJY/oRmy/RWXWxOjIU1r8z5wnkemMaZMR2YxsIQF6a0dlXX/lyKgR5JtraEZBH9daWuVgi25NUdXjvPjdL7bqm5R4WkgmggSWAIiTVMSArIGAhrQCaBaFEsE+OwfN5GAZVWFTiYUSm5QDOkSyUUCFUIVUyK3EFOEy2h0Eh9Zuy7N0hzhUF72YfunPGZ4e72G7zzjo1Dyy39YfJ6S14za64sS2ZeVuY1sywrw7JYlCTOSExAJKwrORZSLqRkhrICEqLV1BKLnKQo1nd27BSLBPkap0pUq9V1PIzc3R15751bPnj3RPnOb/CNT1/z6cvXfP7yNS/v772OzmJAdMd9VTXnuDnYvFU8wiEOFKQ0wmmbEAPVHbHLshplVQIhbgwbGyeFqtlAcTG5+VpWNK/U6mDZWUHG8Nik+c1JaiJaKVlk+XKOPDwMvHp9YM0DlYjWRCWhQZlCRVJBSiWVAtGl7WtCNaJ4xFKDUSnDpt6GBKpYEWqcoWPgJ3SWSs4rdwq3WvmOuZD73Nio92uurgZZXMBLrIZVVZas5FpZc2ZZC/NSWXoagTfvlwv8/MmDn3/2z/4Zv/zLv3z13s/8zM/wP/7H/wDgcrnwj/7RP+LXfu3XmOeZv/k3/yb/4l/8Cz788MM/5hE3I6IbN7ozNNqkG4wCQa1ICAaGqv0KbDGpGD2izbTmDwp9KWqh5Lay79XE3sgtgev30SvDbqPHaR+QzcOeq3mfcjP+tS2FO4/qDgD1wehGGuLIe39uzZAOraWsTQSP+gTzonSakXvqzfhoYeUnG5uBdHVyb6BQubpL7Y/NW78ZEk3j/anmu9CArJFZkECl2Hl0K5gOfPbRi3oFfnzgxmDJxzGwtoiPg57YFgogioXqa66IFFRNRagBIKtsbGoo80W5nCvnR0vKk5ZY77LMaQgcpsB0iAwJhjEQVnpksVY3zJsWsIVRunen1W6KMRCTJcFrNyzVKtWnwBgcAEXzlxuNzmrtdJU5p7hp0R3QaZQUPM9nR39r4KfSBR5oIMU7Ys8nU1xByHCK54T2/pTi9lvYsFRp4MWBmOKiCanl5ljEq2HDEJr3caPytfPvM8PuOE1Gtjctst2fTC/S2hbJ1j9bm7X33kA9zRbY93tpE8X+S/sh8XSM7N57Aoxk99kGfDbJ+T6H7fZZEackuPjJW077+z3eoL15e+0miDf22Nu2/d0wca/p4yqIYqqWKXmh0BQ6+Gn5ak24I4iJdtg+IwZ+JuAIDNyMXg/o9sjN6cDr48QwRKOesYv8KGaw08CPsKbIOkaGHClDqx9kxx6SF1p140TwMdoAS2lUuNYMG/BBIib56k6cJnHtOT45V1N9Ky0iou7ksLvU79UOxG/sg+2eNODzVAVuD5jsnHfgZ3e/Sqlc5sVaNpj4wpoCS0xW+HUcyeNAySNlHanjgJYJbQZzLoQYWc8L63lmvVxY5keW5cyyXKzA6Zr7dZoDQTxq7FThrLAUdKmQCyUmV1mDmtTF4Ko5UAA8+lYfqgGf+0p9KNTFcivxXJZaxNWjLFek5UjQDGLrWNQSCFTLAQ6BGgMyVDMwVzM2VVfCUsirEA+By0FIkzAejozTiWlaGIcDx3G1Ipe1cqgrpRhYiuJxGLEIBarUNVNzpmSTa0drr7fTxk/RYlvNVG1FxkzMIBEZZSBHpQyRkANlikSN6FoIZVOHDdVAngwgSZDoc0NVNBf04jluOfu+raBwFBdC8s5odbLa/L8lXyoVYvDCxu5YavnS3lefPfuI999dvN9Fcv42OY/++s9YbsrlmYk4XFaGy4WUViQmJC0gibAsHvEppDWTB5/oJXgOso2/FCB5bmf3jCnOWrDrFoEhJW5OEy+enfjgvWe8//63+B+/9Rnf/eQlH3/6kk8+f8nnr157HopFpvZrXL9Yn2Odc0MXYFLdHE265X9LzIR5QWJyhomLpAguy+8RTnXJ1caL9WikUgieV9OizSFGhhhtXo0QQyWGzCEpQxVezYn7+4mXr47k8gyVG+A5yHtIeg3ha0iqhAQlKUFageNogEejjRPPsm1KdRqMOWTqQREkGd2tBmqJVB+POZuwhiEVu7aiOKCpLBmWtbK0+dHTBUzZTQ3sZKO4Lbn0766r9ohP3eHML/L4U4n8/IW/8Bf4D//hP2wHSdth/uE//If8+3//7/l3/+7f8fz5c/7+3//7/J2/83f4T//pP/0xj7Y3MrbXb7yjoGpotXVI0zWwAdq8Z1VNVtrUwzaVtM0YaLaJbONqB3Cak6obhrvnvdHff9uMTqHTjqRYuL+Boa3OCt2rujc0pO1zt+8t32gDXk3BzOhv9uOe16NPKC799VbrpyX3Nq/wZhd9L9rb7vVu4e3twR5Aupey00m0R4Csfd2TuvdfO/DZcG4z5M2rUDqIapQuG1QqJrVYgpDdgEwpdO9YdOMLgWkwt0ItFREXt2iLeae9eeSnUd/OlctSaTVoTJ4VpoNNyMNoQGs8CLnVvHGOq6wtN21rv3afzRMeXO7aZLXtA1uRLOpj4GeK0eodKJQayNUVU3bUN/Zt3MHmBiA6EG2iHD65SIUmo6zgtYSwyJy2iI8leNYKNWzXEQOmQqjON9dNKA5fWDXYc9UmkECnvMVok24prZ5KG2BsMvJ1G3fX4GfXv1tvDZiiXttX2L7crq+BoHac/ngbEOqPp8BHNjTQ3vpej6curH3kBTvFDt56lPoJnqrBJde/PPDZHXabJ94APt/nd2xX3/S8uuqbyBWQT9FpK8mfY/BIafvOviUDlpp+AKzAZAwnbk4nTqejiR5MA2mIJuyBUqolAati/V1tTlvXwDokSkkuG5tQtYPFEBiiqVHFnXiAed+tY9a61WtrNpC7kjqKlja/72r8lFK6Omfd1fjZ2u6Pbt99BGcf9bF79nbw0+q8dUqcQsmFZVn7cXNYN7XIAHkaKacDtR6oZUTraBZGKVasuFRCjKbudrmwzBcDPS500KM/pXbakTkQNjlqXdVUxWaL2MSk1AHC0NSx6FFwy4+sVovm3oHPfaY8FnS1feI0Hq1ibV7s/lsR1uq0L4tqSLWaN+reGg2BOkRkrdRqvNe6GuVNzjP5UpCkhKEQpsp4e8t4ujDdrEzTieWw5eSUmqljYayL1dvRiGC1d1DtRVfrapuodmdGo5r3iDjFc1xssgwqBlJCZIwDuQphEIoGCoLGiuRNXj5UA5MyGPBpUa9O316LSWTPxXJpnVbdC2njOZJU7+dGHW8y6paAVz26rN2JBNqni7tPHnlnMDGAIoH6QaI8SwZ+yivO54nHxw8ZL+9zTi8IMSJhpkpAoxngEgMxGZhNQ3TqlwLB/X92phE1ldNgERiTTb52aCGQUrTIz+2Rd965Zf78Iz7+5DWffvaazz6/57OX97y6f7SOZzz0N9cSG2i4hrOBgqZAuHOEG6PIhBtUVppntI33ENr4xecTQ2sCLiThUXO1Qr9VLTIKTQjLcspStJzKKIpI5fZGub0TPvrDxMPDwP3rnyTXd5BwIMQCYSHWiRB/mjT8V2I29o0UQTXS6mZVd4x79UCbzUWoYsp1akoIECyfTzWSa6TmaOU/SqUWo7s2ZUcbJ8WdBDjwoQsfWI40rKuyzEZ3m9fC2pT/diJN+P6+zONPBfyklPihH/qhN95/+fIl//Jf/kv+zb/5N/y1v/bXAPhX/+pf8bM/+7P8+q//On/5L//l//WDe8duC243fhzAmDHji4Iah7UDnraL/l1f2HYLij2sh7Z//cBPDK5rg12ubKVuS+0Mt26oy5ZrsRdM2Mtnbwvu7tIdTWkzhvpR93Q2uveY4J4Glb6A2udKo7aYgblTEpJ9gdPrM9hayI+q13B0i/TsjcoWbWi1H4wmsSXaq+d1+NV4GHXvZW90gR45cu9gqQ5UdDPke0FZxPOYABFSDl0tLeTalWmWyWOquPfFX+vOC9LupnhtnaYotgETfw6uuDZAHCGOvhD55NwOUZsMpOCFyOhULQOy2ncrQZFk92mISgowBCXFaoZjMdWcRplUb3jdddYGpPdS0EYbcllgCaRQ0SjmPdP2zOaVFpvXmo3cbo9NnBuFromCVDxqFbxpEk5Lsn7SjPwYLd+nq8QFsXoZQaiiXgvLx56wheK3zrEzwJ8+Nmpqu7VGY9jZ+XIN1uXJZ+w++6MfTwHR9/70+z3atbz1+x0I+bj3/9tv3t4OT8/mekzLk7e3kb/f4/bcWrwJYNjcaxH3EAPDEBmngdNp5HCcuDkmptELMWqmrAtaRkQHyxEjYEuV0V9w9aztDFdqXSj5TC1nar2ALkRZiSETpdBEndv62ARK8lpZU2FdChGjjeYoFK2bwbkDvnY5G4CQnWLZvv20KGsuXsNj5ny+MF8WFlc928QO9o6thri/QIdqcx70oort5rQIYO2OJR8fOyeagqlNPc72MzXjKrrDJopSjxMiK0EqMVRSNA9uE1MRsZotJsm7UJ2SU2t2AxCj6qZIKBHJECQjWKI+Hs0wCm5FM25QF9ANPNKcTqr2elXKg0V/9FKpi++j/cbXCdVtzbG1s1i1+L4GuoMzVGS2cgcaTBlNNaOlmLCCqnm4q0LISMzIuVDXmTJHyhJZD4X1UCgnYwOsx0KZKtOQiTIQSF5sdDDHjgtf1GVFl4KobsBTbJ1VNxJVaqfN45K/UgUpgVANCNEo8QE0FiRUy/N0B4inZNh6Z/U1+3go7ihUn3+r05jQaIatj2qrcAm4QIUNc0GkQExoME+/ZJMtFhGKF1cdPi+MwdZSDUJ9WSl/tlJuImUsBCoi34L4OVF+CoknQrwhhERICQmJaR0pq8teF2u/bf5WelKKI22lcZczMSViStQykNLIkISbmxPPnt3x7jvPeUc+4fd+8+t88slLXr56zf3Dmcs8s6yr9dddrvP+Uetme3Q3k4teiGonADQ2TaMKKrYotrxetckEVHoEsAmxtCN2e7M5A9R/Q3OIKbaQNRnZjD6uyH0mhIzEgsTvInxg/UQKSDZLph7J5QUxZ9alUkpgWTcZ6rIaos3qOZN+OYOPjRosZy65UolitdwiQkpKHEGTMi/qxUxNsW9dPYrjNDajqtrzmmFdy7Y1lb9mG7epl83u/jKPPxXw87WvfY0f+ZEf4XA48PM///P8yq/8Cl/96lf5L//lv7CuK3/9r//1/t0//+f/PF/96lf5z//5P/+xwI/3F1rf6i9aZ+wWuOBuv2vPmL14Y8HZL+kbcNqsedFtEfzibS7X285op03Snkex0b882nmVd9CO2jy7PsHtw0v+3MDOtQywq4JVqA5q2vRqhrDn1cBO4vpJzg9tMmi/akfdFpy3WVn97HQHHXp0ZpMC7+Cn0SW0+Zz8eLtG7+Cnbjk/xiffR360t2kDdhsIFGo0fnkotYseiEDOfkQHNtoBjW3qmZ8StCuZDYN4roVsFZFFSKPRJdIoxMle14B7f8VoA9XeK07PqFifEFdVaQCvVI+iiHmNWk2dFKrL7hZCUAM+2uS83wTsDSB36WcFTfQaOISWJxSu8oKsmvoGCau0CZtOGaSDJNlojMaY8crM6gnIDnZcalz93gDO3/Zowd4z6gAoRqfS7DpYByttXmhDbut821hui+fud/Ik+nPtaPAcFHVDo/rU8qS7fy8w0f+SN7/1Pb7+xkPfsrX+/DR8a4wzi0gYneJtx9ujmobu2J6xfnz1UT/VsFFAtJlodkYddjYjCct1G4fE8TBwOk6cbg6cDiPTEIlS0bqQlzM1D6Cj0XYkIj3XZ8tnMSNsJeeZvDywLPcsywO1nEFnAgtDLGiqXtXck9o1WDX7ql16eomFJIHVgXaJwQpCdgCk7GPbdnV1m3tphoe9rrWS18wyr5wfZx4eLpzPs4GfTgVjA1ftBvR7v71/heX7x9r77dNbWbvikt+Nt6xvAHnNlPPSD2fS/eYoiShBM8MA4xgpOVJTooZoW17M2VGTgZ6SqWr0rV4oNXoUvQzEYjLSVdWM5eYtKbJFoEvLBfA8B2yNUo/k12K5KTWDPip1Vlibpzm40dnCDjapaKvf1oAQhaAeKRM2Gl1QmCshVDQqiOVbWPtaqEQ1WELYWrv4AfOKXi7ksZKPlfoM6hpMXCELZVSiDEQSURJRquVWrdWiPktG10qoRltO0dbkxjzQ4L0qeC8rYvLSqyBFCEUMcBTPipOAen5poFpuqIBLwPmNVry5dtZDkyRpr6M/BwdJFkGqyka1ChHEaswwRGpIfk+Vulj7ZlFIVnx0KOZZMidYIfz3QHyh1BeKfgBV7ViR30LCc0L4s4gcCclER5Z1cGemRVF7PUXvIxR3rOXssvKriQYAISVSGlAdEa1MQ+B0c+Lu2TPeeX5L+e7/m29892M++/wl9w+PXJaZ7M4JkUqoNvkpnpfX8giu7K3ABkWa/eVRGx+crY0Fz1lGu63R1jjxYyBbfTI8wbZRyG3huZ53WrRItXQnxHnNPOhCGhfGaWU8vEbW76Dyoz4sDCypJkr5KXKuLEtBgpBXk8Euq0VgVIIzbYTQ7NJiNftqtK20vEm3J0KsTGNhnAqPU+Wzb1XWuRUqLT3PZ8mFdVXWPQDKsKylq8CVpuDrEfhrNsYfsWi+5fEnDn5+7ud+jn/9r/81P/MzP8O3vvUtfvmXf5m/+lf/Kr/xG7/Bt7/9bcZx5MWLF1e/+fDDD/n2t7/9Pfc5zzPzPPe/X716dfW5LfBOvemdyzvlDviobPkhnS4AXSGtLSj79adB9z0YurajtAMX7+7diDJj1SbevcnQjTNtx2zULgM3JRjXue6M/9poXEqnwTUjSkSv6F9d+XinatUiBxuA0R75obWY0j3abQBaFKBFjmRHf+sH92uSNpu2s7huq9ZGSs/n2CI/mIRo0Supw56zU9WS43Ub4t29f2W5csUv722n2lXWetvt7D2AHJvoQSRkJUQz5BaXUSQ4yHEvNi71CJsBH4LV4xkG23MN3iedopamFvHxujITLtlt/TOoEFErQuYNlxUo2sGo0ViMWhBpkQ8TA0hRd0ovdv+DugyqeKRqV/+oL33eR6KfL9WSXiUA0V7T+6Ddl9xes9HWmunXE9XZeWB7JI/Nc9N+I2ZT6O62NopmdJGIVj9FMK9zFAOJXgPY2wZfPLdhj0inHe77oNbtdbPbW58MsF+/to7SxlEDSA34CG8XQPhjPPbL6dNj4+clu65fe1th85uYZ67lRBUtX2hd2Of2bL6FzRjfE1v3p3W9E2OFR7wx3WuMR5QJmMjBFDlMAzenibu7Azc3I4dBSLGAA5m6TEg5mRQ9iU3oIO6OXFFdKOvMsj4yX16xzK8o+R7qI0FWhpjRoJaDVixi1A3lDHVVshQWySQxvnyKkJMV+KsxuVgOfQ4MfU5VmqShiO5gmaK1kNeVy+XC4+OZh/sz5/PM5bKwtBo/vY6JzYG0fiTiuacbaOl0mCfTnplTW+RHdd9ZWucGfUvvzOdCvjfwI6oEFxMONSNUAplxhMMklDFSa6JVhq8iFpmuxfJW6opqoUXCTfHO5tNhGFi1ObUUISK1WHkHp881SWUVNSocChi9zijGhbo6hS9XdLH7RzEK8xbj9ElLnM7mhK0mfQwWXZJggCtIoRYHS2o3VqKisiL42JGAltijwyrVJuZFqWGlPBRCmFmHmfoC6rtQ5kpdYJ0KKYwMYSTKwBCcMrYWV6sr1NVqGiU3IpN70k2YQCA6+JEAGcggJSCrQA6EopZcXu162YviRFP7RAI11K4qp4oJPMRi65M08GOgpzq0j2rU6Wg1BXyeVIiKxGA5OcEkw1UChUDJYMWBIHvl6JiVlH29DI1tkuHTQHnpQhTvQQiVGAshFWL6b4T050mXkZQiy5qtt5dmL9Xu0NSylbhYl5V1WZmzsC6BRSHW0RQKsTV8nBLHm1ueP7/h2fg1/j9f/y4fffwJn738nFevHzifjbJpzkPpFLUgbUi+Ge2FxlChO1absyiE3adqOTMtjzmgJlLg4Ae3sVpOtohR9yjNpizb1NDWJbExLJ7YqyWjZeVSFs6SGceVcZo5TDMh/gGlvkslmoqrZAqZUo+U9R1meUWQpkTrOb8ZqmQ/hhhDpQg1B0rM5JhJcbXSBakwDgVJlSEp00GZJuVVrFwc3CzZoj3zWrhkK9bbIj9rbgqN2sFRzoVci0tm06PYRpfvC+Abc9z3e/yJg5+/9bf+Vn/9F//iX+Tnfu7n+Imf+An+7b/9txyPxz/WPn/lV37lDRGF9njjchugaJEe72R69fFmSGqLBOnuOz0UuTfe/dO+37cZKvsjsbsZG11rf8Z7ENTpQNU6cJXN8O8RkORh1l2o6Mne2FCR9uWgAxcfJGYYm0FKMBWl6gbL3rtrxl4DQdeRnysAtAN1NE+Svnl3rkHhRj3cKH+7yE9PxPdr9/bs4eVmbPZGZMuf6jrxW+5Qf95RP/p5KcRUCSUQo+6KI0Ju4GfT9txe981ytJos85isz9XgkZ2gtqiNYqBnxKI/o/F1XbyOaGuK3bNmkPsc2zjUqk7dq617G8WuRX6iVPe62BJWwnaO3vK7nttN3E7Vi1ifiKqm+qOmYioevcmuhBYK5KAUjILX0ohUIbb+sfO4Ws6VkB04NaXDZqu1haK7yfz9KK0ujFNttEUxje5Wg+c+QR9jDQRZrpp6rSofY41+Jz6WdvQ9dSWqSvPUbeMA2hiydlIPN7dIancEfuGH7P7n6vX3m8PbYapsMRAbai2K6Y0XxI3j6399zDw5qO74FerzxX7KasWL6fcWWt201kjeHWle5N0kYvQwzBgex8ThMHBzM3F3e+TmODjtraB1Ji9nSp6hZu8KEcv1aZGfDfygKzlfLPIzv2Zd7inlEXQmikd+ovVNyRERy4uQatS0kiurVCRkUhCGZLWf1iIM1eraPKUZC32W820P/THjplTW1ZK3z48zj48GfuZ5JS9G7d1qe+2Qc0c3TyepJ50EMArN06/vfifXP3naPcslM39yse9oRXQFrUhZEc2kWDicAuspUfJk3uQSKUAOvq6GYEU6y2qCAs7TbWtGjJFIIlUlp4pkU1M1/VuxIl/uRdGqRjOLFaRgjDe7R3X2gqANKGWB6tGYzrcN3j9b5Cc4Bby5Qt3p4wa8iFIDhOo15LKPyQimgFKdeytApOWXqCfNKBV0QdwYDSFSH5R6tmhGfQ7rqTLEwhgLKRTGpAZ+FqPv6Wy0vYSpYI4JWyuiEJJY+D0GJPmAX8Wu3TdZfU6sjbZuHqKYIKRqlOFkc1+RQgnmkFXPfbUc6NaLt6Ks23P0kdZyUVvbYRhzgBAVjYpGz63JdIZKifYcqzJk8xaZIq1FWAmVWgQ+AZFK/Eqx3JWUiTET0v+LlH6IFH+StdE7d2C+euFgLaXLyF8uC/MlwgyokEsLU4zgkc3pOHJzc8Oz52cuv//7/OF3PuG73/2Ezz5/yev7By7zTC6FUqsBkmq1E7UVNu2Jes2Z6v1Mgs8Hoa8fLYerwx/Zt2OT898YDhJN15IY+v2sBXxEdBC0X8/bHCQe+THa5krNKyIrw9AiPwu6zoinBWgpFM0omVIWVj6kkhG+tSnaVstrFvGIebQCpC3SU9xx3F6LrCTvF8OoTIdCOhR+76GyfOzy1NlEoZa12JYzi8tW5x79qR4hqnYv3Hmyz09mZw9+2cefutT1ixcv+HN/7s/x27/92/yNv/E3WJaFzz///Cr689FHH701R6g9/sk/+Sf80i/9Uv/71atX/PiP//ibX2xoxRcTAzFu7HrU5w3wswMy2370CgDBZnSIboZOR6BXJ/CWc2oLVL9JPln3fez21bzk0pL0N+GDfQJ/Uwja3NdsoKidczfOtiTKRn0LgoXUja/kOT/1KWvGKUaN+rYLy+5AzxuXq9ut2N8S9Prz9npTZmvAp1wBHy+UbkPc55yqjVq1GQ77Suq1gx/6YGnFMTe6o/PIUauREKuBn2K5CYLxU61B9K2bOnKRYIM9JRgHA401bACoBCUNOAAy4JMGW3ykKFKEWA1wNOu2S0y7VakYUKQoJWy3XYI45c7paw6ABNm8007RU54ADpycJFb/pvcdhKQNkJnvvRRlcfqKnTNIFdNBUHWRgl6JZXdfZLuf1SRWa7OU20LaIhptUfUOGMWKywbxPC3sPKNs9JBGRW+quM3+39T2DASpGrVQymaqdu9Z64veXH2My3Uv36h9Bt72NLK9V/5qZOj26+2VboDlzY+/0GM/xq5OoIFI2Y/U3c6fIC6V7bq2z59Yzvufy9MT1d1TMzTtzAwzVVridEqRcRg4HCaL/NweuDmNTGMgBcVyfma0rJihApvKW2R/xUqm1pm8nlmXR5blgZwf0HpBdCGFzDRUqELG5LWlWmfrYgRZyWrV3tcQWAchZcglkEum1E0sANr9bpOZxz3dC925/GoSx+u6Ml/mXeTnwjxb5KfknajLFfDZAaHv92hOHN0bYm+5Lf1eyhv9qyyZ9f7i3y0EXc1yrSuiK8urwHKZyOtELQtaswEgMU9wUKPuWA2h7EDR3SBiTocQo5nQUQkhOoUxtMXH8zTEQ8fNoNuM3FqFOhfKUiheJFargkfxBDNMtTlbnOYmEnxm67PRBjRRrxO3owC35iniysVO3wttcgKtVsRS/aaZPHeBupgMNaBrhDWij4LOgXoHw6isgzIkTJlNI3U1qW692FYEdBBIoElggDBEQlJINrdKFLQEB4wBKdHkqbu9AyqK+FoTHPjEZMVZ7WuuMNib3SKMVrBSUImevL49b+aKbsyQCDIIYYQwYGsdzfG4KXA1vBLUnGTbomVrQMPBfKyEV5X4USb+dCQeCzEUQiyk9AcM6Z5cnAbW5hWx6ENe36Pk98j5QF4LQ4rE4Npk1dgbkpoYgxWRnw4Tp5sbnt2s/OHvveQ7H3/Cdz/+lM8/f839wwPzPJNr6aygioH2ve0ImxO3Kz02HrSP5229sg5mjhTx6xfPyxKXdveyGAGr9xNjXwcL6ipq+/XF84zx6d4MB8wpUtBaqDkjZSEeV8ZpYTquaMhI/jqUn6KKR1M1U6vV/an1RxCeU7Og9WNq+cQFn6QDYBSjvkcD61E3UYlhMJZJjJBGZTwUmArrXEwUyultFtVx2ttqtXvWvK/NZfQ4c5ia5HUrMt3M3719/WUff+rg5/7+nt/5nd/h7/7dv8tf+kt/iWEY+I//8T/yC7/wCwD85m/+Jt/4xjf4+Z//+e+5j2mamKbprZ/tr9uWjl3osRm5O+ADG/iptdEZtoT/ruymPpHo9XGs37au1wxSthvSUelGuWpgpVVv7rxF3ahuFRAxT3qLr+dSewdZ1kKQxoGsvejTljS7cdO70dNBTwMu7jH3iUPdG6tUzysJ3h7X4KcBnx49Cm5YtS91H+hb7suu/a6AzxPQ17m7LZxZrzdl+6xv7HYI1xGeXZ7PpjLkx2iLhS+G1mQtHL+daDtm6zP93/41BoKCwJCAarzcoVpCfg305yEFJgkkDYQisLKjMehmANTdcXdt1f4WzB8Xk9VvSINQs4OQ3b1T8WiMYHLOWCKzFjXKD+Y17JIcKp0+KX1E+aSNGNUBB3tOrQul9fmd4baz31Q3g1HE6G3R39s4540O4D+q26GvLqjBbldzsrHj7bO7x3sfQKPx9a6y7zvtEq9fbO3caS7b/rZ1zaJA4mMKdhHFJ3PGU6hwFVndY443QMX+R+030k+i9cUm7W/tuB+H/iMJ5rX0ue0qqCDQK5WH3TmHqxN70jb6xjW9caUOqGyqiB2MT5NFfU6nidubA8/ujtzdnri9OXJzY3LVp+PE4TAxDQMpNKob2IC50OKMqq94uP+Yh4fX1LoyDoHTcUDrZKA9WAX3yxmWOTCnyHKJLItFBcRRsqrl9lliLcS5comVIEqSQCIwSGQIkWVYGVarQzIviZRcVtvp0SNACpwvFx4eLrx+eOTV6wdevb7n4eHM5bKwrg4UaMNl18H+iEe3rXZ9/JrbsM0dbbffq18NdyOnH7v1r1aiFBvXUghSuHvvxIv3b7i5O3E4HBgGV78LAOagQiDXYkCxFCtgWbJJPpeVpTRp2sy6mpe+ep0xCw44YInqKpAbTZZakSJdVVOL9vmxWT4GRPJuvfbvSKtvlKnVPPhlNzBb/ZlO1VaLcqs7A+Uqt0w3BbNQHF8p2hIYs4NGVdLhjnS8Jd3ckI43pMOBcTowjUem8cBhOBGJpvS3Gu1S10pUK/7cqMtBLPIjIUKLAAVBxBwAQQJRAnGIKJmg1cAoJn4Qoxn6EpymTcvFDQbms6DVE/nH5PlBQgwDMZjAQJABQiIgLjNiDqiYIAyBeBDCKIShzQmVUBoFv9lW1o5rGpnHaWvP3UbrvapwtvsepBJjZkri9+ZzajVJaPE1N0al5MC6viSvf0hef5xlEFRfUKuylMJaKsOSvTYNaAJNkePxwOkmwcvf4vW3H3h4eODx4ZH54nS3WrfcFdkoadFthKptztd+PTY4vRi7j2qbVlsOj/c96c3gn6vHszcho7ZQSWMa7Ra1vm+ng6eIqVOOA8MwMAyJweuUBQnIHwjxzynDVDmcMoRMzI+kPBLWhZgLyEhgIjAgfBP4JiFWNKhtydb8FC0inFIhhGJ/h0wc7HlImXHMTNPKNBngGqeV3wuZ5etea6vbVm47tNyhXR20XHQTNyjq4E+vm+Ip8PmSIOhPHPz843/8j/nbf/tv8xM/8RP84R/+If/0n/5TYoz84i/+Is+fP+fv/b2/xy/90i/x7rvv8uzZM/7BP/gH/PzP//wfW+nNWBdm8CvqQgS9nwHb66batldu29fC2b+3/W7bU/u7Lf6NQlWrg6C6T7LnCui8kXj/BMUG3083XWTLf1nWwpws2cBCgy0JzIu3NQC0O8/GHjJZWS8YKE0WsYEfS1xwzbt+/dcRI64iPxI2YPWmBSTXffItnfEKAMEOPG7gZA+CrqJieKiTRlXcHcjnnlYvR/vm90e35z3o6SAo6HacDja2CzQPULtfuqnu+UWGYMn5MigR94KI0MtaCKQUmCQyqBBygEUgg66+ZYVW98Mpb/v6MjbpGmqI2sCPkNZAGYJ5ANuM24CX2jNiXiVNoKsH5hWnZjvocXZcj2Y4bURpCkC1U8xEQKqryJXmEZLehv1e+wvrkxtFz8ap1d6q/trMR6GnjPTOvLf5DfhY+1iybxtvfXKsW8erzf5v3aUdS/sR9t13O+bu+/Bmf2iiIb2WBLLx4a8ufjvvfjnSwNM1+GmLYjt9+67/rkVy/Lm1cFVjj7dzVHd+bOcpDoSlUzOa8wboQgY4e6j/VLge4/25RTd2zbZvmx7NEl+gt7zBKJVxHDgeRk6HkdPNgdubI7e3R25vDADd3hy5PZ04HQ5M44TEgQ38zCiPwCPrcubx8SWfffox54d7almZxsjtzUQQZYyJcTAp2/ND5fwonEPg4hHERhLpwBkl58yyKiEJ4WIe9SSRwWuqjCEZ+EmL1QBaUi8kbPOJrQ0hR85ni/jcPzzy6vX9Bn7mhSXnXil+N2O3u8jVY+f1UB9IV+DVB0eP7LXF7ws8xruBw50Zp0Hc8I5KikoKyu1p4vb2yOl0w3Q4MowjUdv8rygOKmr2ekqFNc8sObOWypILc85cSmGZM+tSrL5RVo9oez8O0dowKp0L20qclN183sdua5A+6dMWgJ5JKMEL2LrMtedXtT7axnMfCx4KMaru5gXoTSlORxpBpmDqlEWtuOfaCqHBeDoyvTgx3R0Ybw6MxwPT4cjpcMNhOHKYTkRJaAN0q6LZAEPEojZNSIMgBtCbFS5ASAiREBZCiMQcMdPQa7+QUQzACi5GIHRaodZgwCf79QYheukFHQORgRBNkltISIy99l0MgRQCYXRV1NGLp0ZxWX1jbki1jKHefhmWceDsDmzRSlQ731grooXGXtQPFD3YvYwIKRqwTS7JFKP6OqLE0FTJEutSWNLXSOtIKX+JnEemNbOsmWFI5tyJ1n+kBI7uZJnDmc/PZx4fHzmfLyzLTCmmVtjATvSoTnS12+q3o02Dlgd8DUxcGqHP78HXsX1+agjab6tgkVTRgNTqSUKKe6V7H++gMWCCItHKdAyDMA4jwzAyDAPjkBjSYOkKaoB1nCqHU4GQCcuFmL+FhHdZowITUs+I/g7ox8BiBgLV8+/cGRQLaajEaFsKawc9Kdg2TSvTuDL68+O48io0hUubJ9vI2mw2T3XwtIecq4keOFukshv/1Rtw5wT54zz+xMHPN7/5TX7xF3+RTz75hA8++IC/8lf+Cr/+67/OBx98AMA//+f/nBACv/ALv3BV5PSP99hdtBszV8nH3rG6QeBIuokdAOzrJOxBkH3dd7ZflnRbgHpUh0bp2eevtPcMnJRaKNXkTVt13vY93Oi3BbBlHBjn0cBOZU7GpV7Wwpwrq0eFWo7MRoXbkthb5KfLZ8ZGY3Pam9PcKptnqBlLLeel5VoEkV5pvUV+/K+rHIUrPCLs2m0HOqALN1T/8BrouEGyAwDNodfaXXcHk7b/5kVoFLoOMLeI0P4Yrf/YfY/tBP25dR76d7Zp4Fo4QPFq0smSVnHus7qRWr0vhRQYREg1ElffbwM/2beCA6BmzGtvi1KV4rk3UYW4CDEJwxrIq01y3VMTlOD9XkWsvoNUEnZpll8mFNlyjprXdIt4BC/8J1gye0BDsUlR26Tv7V/tvFvm9lU/8L4RHJSJt09RdSPHCxD7fd/AQjOOoCH2dixVMXWf6spxbWtFXIUucNQECvqtbVzh3g/oAOvasNzWnv0jiEfNRDdlOG/XvXBCu4o3gc81/XSHG7YO1/YJSOh+6rc+WvSnObEbNaET3gS6osT+0YZxsL4a/Vpq2CI72+y3jef+9xt2dodxCJvqj9VoCqRUmabE8Thyc3Pg9nTi7u6WZ7e33N3dcnd7w+3NLTe3N9wcjxwOB5CW6yPAgpaX3L/+nE8+/YTXr1/yeHnJ5fKaUlamYwI5MQyReVo5HgbW+cDDWLkflUEs8okqa/MyVltkqxrNYpnbDbeE9xQiA4EhJIYQrfhpSsR5q6hOi+4CVSohRB7PF+4fH7l/fc+rl/e8/Pye+/tHy/tZs+e87Vo5iIsO2KSjfl/7HLVr86v795ae8cZ7+066e0zHkdPNAFjUYRyEIYgVYI4wjSOHaeQwHhiHkTGNm0GmVgtHa6WUlVwWSs7k1dTslly4lMolF+a1Mi+ZdcnktZrSWcHoas59kmiQVDOQa6f3tmR2dWdHX4t9IGsTwmkURCJgtX7MoMrkmilaTDxGrCM3OXBRYdCW6+JCIQS3FUwsQYIiMRGnRLiJpJtAnJIllxe7HtaKVBjvJqa7iek0Mh4npunI8XRj4Gc8cjiciBIt+l7oIMhubPXcqwbg6BRlo6gpZCvEG2IkhYQORh1Q9UKoHhUVrD6RTYiCedkM/NQaLPJEQEKCFAmDF/glEDVZhE8jEpJFhoZIGkwxLUYheG2uMBhFvKIUVaRmv4a2pld49YrLuwOPP2zgJ0kmvgykh0KVTKzmoNNBqe96vy4WeRkjDKFQUkYwURRpqqwvlfIisIzmlFiWgXnJlPzfKfnPsqyjRRzH1RkZRvKWmjjdHDkdL4T7Rx4ebHu8nLksC+ti7SbgwKcVXHbVW62mGmk9xpa8K7aCz4LOCJGWS4tcjWaFzqTZKIEN5Dgl1O3UFhXq6qjqJShiZBwiwxAYx5FxSIzJ5byHRAwDUgMxKdOhcjoVQsjENLMs3yCEE3E9QT2j9bfQ+gj1DHWllecInpAsQUmpmnMkFVJSkhSL/Pg2hJXjZNvkOUafjDPnrxcDP8VrF3kXb1TJFgjIHfgUz/MJO4p6mxu3qPneaf9lQdCfOPj5tV/7te/7+eFw4Fd/9Vf51V/91f/lY7UutCdhiBvYXIGga9rbPgL0FPhcU0Pe0phPDGJbC6obX7WDnu+3lR4R2iIJDaTV2igM1hHMg1YZVgM/liy2k//bRZX2i6WwgZ9WVLADmQ5+rt0RBoZalMf2EjrgoQOq5oF+k/b2JPLzpAm78bn/UjdCdYva7KIvV5TCHQC6kojt+9ndx+7panTE1r7t3m33cG8Ib/Ezrgz3lhvUz5Wd4wHz4ogDiRC9TbS1h/uBQjAxABUk++dZPfqjPeqzAR87gK+xZJfvzsVECIYB0irkNVDWaIZTdBnI6B5EL2qHCyJo4xoXQVYHu96pTb/BcpCM5mYJxapW90FbYn/3VtkkLVX7xN/vcRub3UA2oOBBKDO4HfigOwGHBlxaP3H+nugWdaQKWmQX+dlFf3TrP+18dn5xWtRnEyB5y/je9Y/ev9zQ3GhvTVNAN9qbA97ajaxtLRT/kbCnUnRMZ31Irg/e8g7bAa+krFv/FN0UiVrf3EVf8OjtXgRMdiimcf+t6rvtNOybpns0/ZC7z3ZT4Qa2rkJHLekdUlLGQZjGgcNh5HicDAC1aM+NR39OVrT0eDgQxxHpCm+KMnN+eM0nH3/MH3zrW7x+9TkqM3BByUxDZAgjawocxoE8jZYDEDMxWLJ9LZW8FGQtLLgBr5WaCzmYR7nRmkQrQ0yMJKa4sISBJa2kYSGOgXkNhMWoQ21xVoQQCufLzMPjhfuHM6/unfb2eOEyW5V64+5fG0NPWnR3m/1bzcDy/tfojmHXJ/Ste3j7Y5oGXjwz2luMwjhYnaMhBoYUDOjFyOjPKUaXoFanr2RqzZS6kMtCzpnVwc+8FuasBnwaW2E2ZbPiUW5LVWqRDQjqeZKA1mIS1O5QecNh0ef75oQKPl83QCRbDmnN5GqRH/Ux3NY+kUhQQZqUtdPu2uwmzWyVARkH0iky3A0Mx2R3z6M3FAM/w2lkOo1M08g4TYzTkePhhsPhhsN05DgdCZJsjnaqc3VKvHquBlrt+nGPtzRasIJEy50KgRASsazgkZ/IBoRMBS+gsnjijdPdiuUN6SqWU5ISEgckRQM0NRLVCW6akJgI00AcBtI4kIbR6jal6HXxogNXGy9Siz975KcUePWa5SsDlx+fQKwYdzov6H8HLhWhGENiBH0HarYFJMhONl0NjKSlEH+vEtZK/KyS3wkMHyTSOwMxFGLIrOunLOsj43jDMCTSkJBqwk4QCVSOpyPH4VvwtTPnxzPn8yOX84VlWTzyo5twT3Meu+iTIi6o1dzUvg46g6blprYpt9lPCI5pe2KGRbF8JgiIA0fcJtM3Ij+0nilmZ1hx6GRjt9PeBoaUSCnZOWORn2GqTMcMkpG4WvRQvo2En4H8DauRVs6gFwiL5ZpFRWJFPCocB/VyHpWUIFJIspJCIUlm8MhPi/rIuPLtx0x+VbwobRNp8TmrsVtq3eWLmcBB9rzI6uuKsUSkT3KbHdmMuS848fnjTz3n50/10Rpgd9W2PoglNrc3ZWeECPQiniLwhJZmtVFaq7oRsbezd4v/HvS0YpxNxtfUxtyz2JPwa39uE14P6fuBVNTrEFRyEU8GM69sVddG3+X9ZNc+751KtwHXPBUpWOX00LjEwdqgVgNFjhBRbYpudHAjsqmVdCC08eKaVcdTH/DO/rt672rzdu3AZpe/cfW8B0h7z/p+pd9/74kRvAc+b0Z9bAs7wNX71ZWd2SBpN0W65z9ESOp8aJFODUGDe4h8QXWgoSpIpkukqef9mHTrtijuz6dFNnKGNRsIGhYhJWFdTdJTsIhKjB6NooXWAyEqkjwCVARZpHtBtQq+5np9tAZXTDK2qrO+m4a688gDYpLYLijQb7I3rF03Zki6B6xhbdEGJJwu1JGk90f/e29Lt89lZ5xsc8DbDce2v5YTvhmp119pz/2W7/pW7wrSDHw7evXxYfNGSzc1D90Vda391vffwY+0YrL+XdmOd3Vau/HWaHANgHdQ4qbaGwIuDoS2aBqd/gY+n5mzvItm1StvWnu9tdjTVhaevuE7ctngGJUhCUMKjGNiGkemw8jxNHFzOnBzOnI6HjgeJ9sOI2kYaInqNlBmyvLA559+xkcffcQf/P43efX6c44n4XCAwxEOx0SQSJ2siF45Wj2QFDKihbJk8ppZ57Ub7lnMyCxFIVckFFSUogXRsoGfkBjDQErRatcMLifsBlFbmKtaYv/58czD/SOv7h94+eqel68fOD8unC9Oe6vau5ju71FPMOvm0a7ddX9j2eqs7Zt+6wN/1GMaJ549ew5ADIExRQc+kcGjWilIL74ZRKhiinCmVFcoZbEtr6w5syyzV2KvzKuyZGVdnKWwqMlVV58bxG+xNte49gz5BmKMAuzG3/YD2kysbKDB5kubX5sTMldL9jc9q+YIiYgkRCzyIT4QTbo5mGE/2FwZh4BMQjoNDM8mphcD093IdByt7d1uoNq4H8aBcRiYhpFxHDiMB47HE8fDySI/44EYYv/NRst2h6gWavVkdSx63xgHBooqlIyUDCWTaov2ZLTnwi3oejEJ8izUVai6UqrN1yHbtYUhEcaRmEbiOBBSImoiaCQQCDWRYjIQN44Mo9GqQkqEGIwe6rS4FvkJ1QqWRp8AJa/AH5LXyLKauakJ9FCQn66E/waiSj2J1Ujy9bCqEsW3YFLQ8buV4euFuCgxV17lwuE7geFlIv4/KvFQiSEbDS5/jUv+88x5Yi1GsQu44AHKzW1kOJ35+uMj58dHHs8XLpczeVmoJRsY6Uq31zXmikttVnUVSZ976c9mXzUA1B1+feT22de+szfe3c6Rlgvhb7cFsgMf8HyfaON1HCzy4/dqHAdzNKXEwaNXaVCmqaCsIInATJDPiOEb1Pgtan6klAsqZ2BBkiJJCUNFks/jgzmyUrJcoyiZQTJDKCTs9fGwcJwWOCz81rgwf3dheTQmUy7amTsbq0U958fzflqh+1K89pODH9mES/Z2X3/83wn8tEhBexgtS7vRDpvHtX+nG/fmrdBgMUQJ7q0oHoJsxlQzSK77J7CL4riHyqhWDfRwVbcml2o65XmX2NV+W5shbpGX6kW18irkWFiiiRSo18Ixuluj2eGdwwzcECGlZElvg03E4zCakSVNHcSuoi22vXaJG1iht9/bIz+2NSpO/4A2rFuko98n/+8K9Oj2et++7L9ztdhz/YXdH1dRnL4oXmOj77cLeePdN0eWDO5BR0hFUKsoSiiVoei+7inRPY+qQugJvFtkjN356i7Hp51wA9ybqJy0NJ6uXSSKSfWuyjKb96gWU5BLg3srA0aFKAUtBZWMqiV1LwvMi1VcnucWbRKfjLZ7HGpAgvG/EUtEleDF9IKF5muBGoQSDQjKrvlaJNU4yk6ndIZhduAYohKT7cciOvRtn2tmhftMtStWl/ZWYRChKER3GtRGo9vfxWY/cZ1DFYI71/Zpb8323AEYaF1ct0hN2O3DvxtwA5gdE+IKNO2GC/b7a1rdBnDeVly4Rarf7MVvPpr53OmC/ncnQYl0wKMOxjSoe0h9/HVjU5yOs+2799Oro+7GbOu//s9oIMHuoYNYc060xc/pDkvmImeGrMRxIaR7tAqffPxtPvrWt/n4ux/z6Wef8fj4GtVEiAPTZJScFAIlWLHKGislVpZpZRwz42gy1jFVYjLqjEUT/WrVZeRLhWDRimXJzLLwKAasuoLZGEjjYGM/VzRklNVFR1YezjOP55nH86VvlzmzrKvN3+4coM2paiImrcaPSKVUa/N2u4PUPifu+8geEH+ZxzgcuL15x/dt4HTwHILka05ooh4O+FUVKcUosU4TMwotXeUr95we6ykSouWUpLrr/Gp1bsTmMaO44VEXp2NF1yLTCkE3QYOiNhc5g4Lg8o2iRo1r49dCBrTBLAhDGKzuThwJMRGHkTRE0nEgngbSbSLeJMLRc2HGQJwCw2FgOk6Mp4HDODKNqYsmqDM3RC3xfIwDY7KE8zEOHIYD0zAxpoFpHG3u7A4+NwDVC7jWamCnC2Ls17PqVPHijtfNY6U0mXErcFnymbK6bPxyZl1Xlmx5WctqstCSEjGNpDQR0kiMI4FEkkSQRMCodWmYGIbBaW+jzUkh7Gr+ieNTi0KbI8DOOa5WnzENM+N4ttchE8KKhIyGQklK+YqyfijkizEZagmkqNRUUae6yXtKWYHft5X0BUoRZRGrUWX17pRpmjmVe1b9GoSfJg3PXFXNIhkR5cXz73D69GMeXz8wn8+UdXGqm+WlphQYx2iOSrGoUWhS6sXU16RKF0nas2IMNAW6H68xTnwNast9y21ta4oqpvYajGLWdizBonaoR+WDWE2yYNHY5FGeYRgYxsR0HDjcDhxvR57fDNz+SOR1DeTFFHCphSArMcIwKCK/DWmh1jO1XKDMKAsy0AGQJCsCb/ODrb1DFIaQGWVljJlBVsaQOUwL4bDwtSnz+bcL6x8UlqzdWd9y1U3BrXhej251zzwqXt1R3OTqbQbanB9h5yTiyuL8Yo8fbPBTbcEE73g++feFoX3xDfAjiFi+i/EoK61miyItpeH6WM1gks3Y7oCnbAlbDfS0HI0W9ek3O9fd+5uKTaP6NPGGKkKOwrIKKRQzppzek69U3loo36veRyFGS3Ybk3mgpnEkBPOSocUnUV8S3DCzgq/K3tAyg2UPGLn6nP3WAc+uo+qu8XZtuLXpjqK0b+P2vWuksDNGG/x8S5946gnQDQhd/UKf/H39wRufhUF6HhQ1WF2eogwanZpBp62JG+6oUbJa1Kc2jyQbFW9L5t0QoamuGQ0kuLHaPEhNHQb1SONSmbE6B6VExhpRNUnZECOhFopkJK9UDdSQrbjYXJln5XxR5ovS+U8qoJ7gKdHUhjSatxSBUA30eOhC4yZ3GSK2SGkDQB7VEUWieaosVG+tG6PlCcckXdK80dStgFqjh7VopfdztVynKEJCIASiGwhWf8OJCN63KtuiY161LefMc6Nd3lb6gtRjQ63PdeCyRay8M2JqRBsVMmDGwJVgGtt+rt/hqv/Dm4atUVw2EGTf1avn9ropVbZDCHZdvcA7cgXG9h2r+vva8g22VvB12I3Wp0OlH0uvpL8bMGpR6CimUmWOE+lg3yTtrUZHXjPzsrKsD+aB1FcogXUtfOfj7/Ltjz7iOx9/xCcff8y8nInxxHg4ohpt3hsisSg1+paU5RKdiiGMAwypsiYlrtkoY9LmIo/OS0WlsAJzzCQWggaPVtr8GsfEcCiMpSC5mM+9CsHXo4fHmXunvdl2cTDlUZDawM9GhbQFyYqfSjEAVLX2Fq9ey6VbW3vkrI2ufZ2vtb160zQYhgN3twZ+xAVbUhOniNCLZ7ccFI/41FBBDOy1KEupSsnaa3hYknKj+/pakoLnERiYsTwpC2kbJcvHgNhvSNF8a9W+G8QdRVJt4hBzFuJKk9b/2XJNW//W1j+FFA5Mw4FhMFplPE0MzyfGDw6M7xw4Pj+QDgNpDMQhWF7XEBhTYhoHpiExpcSY4uYA2NyAxBBJEq2+UQgmmJGchhQT42ARJ+1rRKNm24JQtFH5NvdNZxsI/r71Ae1cQCve2ShztS7k9UJeL6zLI3l5ZF1XDsXyKNZqalohDsQ0EeOBmEZCMvATJRr4EQNwMY7EaAZ2jMlVEpuxb/erna3lxm6zxDwb4BmWmeny6K1VEcnIUqk/VdDHyvq+sM6wXgLrEik5MKTKOCgkQZrk94cgX4HyOyCfeB5UqIRzId4qQ6ocJnfvxsow/gbH0+QRHFufYoBn4wPxv37O46vXzI9nyrKiJVvUKpgyayXRVGBsHbaVOLe77cquV6bQXhxq1yal2lhVlS7TbF15s0xM7KKBn+piF1bDqc3G5ogQU3dLDn7c3huGgelgUcnj7cg7z0b+zP8xcvmxxPIQybNQFtCSTQQhFoJkUhKoK6oXVGekzqjkXlpNEhAN/KQQXF3OosJjWDnEhSlmxriwxpXvDCvfjZnHb2eWP/D6PdnSN9airA5+Vu+PuTb72Nbk4sAHJwS2RUrYDW7aetnswi8LfX7AwU+rAwM2UfsLYPPOQvP50D/v6mViSZFcgZ9gqimq2yTajRPthpTqVnen1aVpdWX2IKi00HtTseiRoo02V4qdb3XwgYdM12gKl4vY9dVqhl2T0O55km7INHrT3hMwjiPTONj+62qLUkcXzRBSqyitdGnrlmQdejRoM/66K7D93YCPCOrcpk4b6x1zG+SbL4vtvf691sF33995urdP2l6v9/PWhxtZ18Cq7d8NtgauBLaQy7bXMLRcHgUNhAqpFcWsWFJuUWpWNLf6QtbHDAAEm+ja8d+S20MDDQobZ9hqAUSfNIO6L14VLVaOTGs1aoPLuom4F1wHas1m2RQDNVXElHHWzGWpnC+W5C1q0SLzyHudo2AACnUAJLhHy2gTJuwgBsKSEItSOo2yta0D+yRI8xgl60wlGssleuHUkr2EhVHWaYnJ+xpTQQxABQzwJDeiha3rCAZCrsQQ1FVjqo2vRisE8+C1CNCV5biz5MUX+a3IKVefaRWnaeum6LPrlA2UNBu3/fBtzvomxtJ+17boHLkm0Q/b2NgLt1RXKmonEqBHOGRncNOAXPB28+FXe1s2QClmaOl2b/sc643dgI8TO3d9uVG6PJJIaFO07beaEVeqUdRyLlahPS8m7rKYRPLj+cInn33Kdz/+mE8/+4RPPv2EWjPHI9zcJipHUkqMw4BGc0xVV3Ccp8A4CuOgDIMl68aQjeIkDe7ZwJRWhiAri2bjs6sQXWEwiCUWp2XksGZyKUiplm1RbQzUCo+XhcfLzMOj5f48nC+UrK5gRI+Y0JxM2HiyzG+TlZW6i46pJ0H7uGpqhRsjQWjczrdT397saMM4cLqznB9TAlUbW6HlWbfBUxygZKpTA+VJ5KfRvHPGrlHNgafB5xMJMFSrDybRrk8tB4XF57Os1icC9p1u15tboWIGYpUGHAtNcr6IIMX6bFckbB3UwX+QSIwTMR1I05F0e2L8yonDh0eOH9xwvDtyc3fgMA0WDYrBttRyoZJTAxuN3NfA3sd9DQ6h54i0pHQDQ0aZ3MBPWw+s71WUpC3/R/v8c5We6AuE9HvqjaS1P5e8ss4T6zKxxMQaB4Zx7d717HZIiEZ5C2EkxsH+donrECKBZMIKMRnVMzr4EeliPu382hLWJrne25LNWel3Z4aXj/0aJCj6oqI/a87fcgnkRVjmwHIO5BLQASsBMVoEMKpFyOpQCT9p9g+vHEz9nhJjQN4N1FEMSAyZ8TBzKoMzD8yAD0m5++aZb3700iI/DzN1mY1OqFZDTmMAGXwN2wxvaUn3GlBnI5Ti81unyW2Oqm1+bpaP2wxqBr7Rp/2eFqsH2HLQqFbnp0YD/jHY+hsJDkIiKQ2ej2dr/jgOTKfE8TTxoz8+UX88MV8GlouwzsEiZ1oJMhOiD/QAyIINxAVhhlDQKIYQvPZUFBgCNibEHCWHtDDFlWNcuE8Lv1UW5o+ypWV8K5NLtqjPWj3q6NEfzRb1UbOfW/Sn+txoJnizLb392TvNtC1SXHs7vvjjBxr8mOG5MwT2H25op5vMnb5VQzeqTK2nuhepmKGv7mGTDeg0I7z93ShvvahmjwA14MP1dxoAqhtos0R27VKr/cT93GOwyhbBjfCadioXeyAGtPBoVLxCskd/hoFpmECs00lRcnG6S2+3zRvcvLTIZnhuxgvdYBKaF3rz/uyn5A1ubvCkP+t23k8jPVeRoTdu6h/ZI/rxnm7f/7G3ePfbBrXCaJENsJweCDZBubVYcjUZ11AowZI2jUYmWBE+0+BpNZ3QLepD2RZC2GEvp821xbVFfiIurOZRwyKVNUCp0ShpMRo/u45ITSgRfLKuCssK81y5zHCelflSDUxIKygaiGrAR2uL/CSbI13NSkJBItQIJYoVMfToz9NoHsEjP8lylIbB+lCp5i0vVUnVymWsgS5OpQ5+mvHe1V69DVTMwGqGR6dmBov6lCIeYXVHsVgxwSaqEGqL1DiTphnzu+6ku7eao7O/3s3D4tS3gEVnW3De9iObwd/29z3madvv5lh4Snvbv19K+R79ue2s8c1b7Ykd6Onj1rbuQBeuP2sN0a/IUGMHcLpl5lw1mqs+BP8nhE010s39zXZzidNcyGthCSuPjxde31+4f3jk/v7M6/t7Xr56zWcvP+Plq5d8+vIzQlBubyMv1gOqSvRaF6hFDRkMlF6mwDTCOCnDWElDIqZEiNmcPD6/aq3mI8jVO4eykE2ZKJtxH0JgPEyk48ScC0uu1JCREomiSMjkohb1eZy5fzxz/3jm4fGM1kBxgQ6tjcJhoFAalSgaANOmEuq0N61WXb5J7LdIlZti1vJfaq6EYRo5ueABHlmRQFep0k6ZzSZ0kIUQC4hVfUG3aHaju1mRQjWBlCAQPJdGxIuiGoAJQcm1IEuhVRWuTXY/Sq9uL6PNjWFVWO26Q64m35/NU+ImJZ3O0Adp8CncJhXBohhpnEh3N4xfueX4Y3fcvn/D7Tu33N4deXE6MI2DFcqMltcVOwgyhbPk4KcZu61Hd/Dja3HwCGeIoUc8LQG9RfB2c2WP+DRgq92R0//zttsFXLAwtgMf4w1T1pXlPLCeB1KMzDFRSjZxJPBikRAc8Ng22BaSAaAQ++uYoo2XZOMGkT7vNbY2sJ0vO3vUwc+wXphmtw8S1IQplxaoq5BX9ciPMJ8jeY0wZYLVjCChlGRHEkAG0J/GitWiyG9B/N1C+D1BpJB+aGW4j5x+OFBCgu8q8eOK5EKoML468/uffs7j63uW85myrmgtlrcbzE6MYqqBom1ytAtTqjv9wi6H2h3Hu8hPd7D2KJ1cOc9rI0d3AGziQeacV6N9Bp8/vQZWxMqVpBjMzouB5JTEcUyMh8R0HLl5PqLvTpwfBuZLZDlH1hnKapTgEJUQrKi7JEVkQUJGWJG4WL+KgiahJnsOQRholDt7Pkom5JXffJx5+fWZ1+tCuRRffwtVze5cHPiUUqwAdItClsKqXsRU1SOfZpOaZd+J/myrf+dXsLfRvhz0+f8D8NNZAGwey/aZv9qMGFEzKIOaRwp1NL95hlE2iWFvV3VJzf3C09SlWkSnUd+2Wj9sym+tc+9OSfaATLZzbJ/Ddh61VIobf1deFZ8BQ2xVsyM1BQ6HkcM0uUypPataMFFrtiOXffRl7wluE/kWHcMNsg0E7WbfbjFeb9vVunrdHvC0bQd6+j3T7/H+k8fOlrx69b0eX9IuePN4UZDkxqcbdKavFhEVcihk8s5eVHdKSG8nVRcg0GZIa1/XtoDJDnC2E9etuUP/7o4rTuvflbxCyQEtEeqA1rAB+GresrIqZS2UVSgr5NW8XeJ1JZoqTqt8KV2/ZnMatOhpdEpaew5NMbw7CvBFW7aibMl/U7c6P7VCbpHOXRqZUf9cJa+fxSYukcTGZdu/OF9aEXLWXa4anp2q5rVsVFNpbccTg9/P230rRv9UdrezRyubOqTRZe3mNmU83d2/p6zkp/16vz9gNwavKW9fuu/uDDRgU81zdKT7Pug5P+p1jGpbnHtupbx9QNoVXD314+GA1e+hFhzorCzzyjwu5riJpmSlwPl84d7FAl69es3nL+95eLzn/v6e88WMFRk2iBn89yklM1D8xmoVhqF4vkL0batbYmqI3rbBFlb1a6hqhaYDhaCZqpDSwHFemZaFecnMayZXQLLLjQvrWjrd7eE883iZOc8LaAMNNle7NwF6DoUpUSG4dtQW9akEp6DZvN2LN/fEgS//CCkxHA79tgYsJzS08LNmaijmNEFcMn5AgiVMa5chH0AKKgUIqESP7njkWJKrN25zgs0LGdXVvLxZCCvWDikQxujzkTuMVqXOThHLlbBmylrRbHVrKEqlEHxdC1XRELwNo+UDkkhpIt3cMH5wx+lHn3H6yh13L048f37Ds9OBZ8cD4zhYZCd6PZsYnLJrUaDggKiBHzyaGXbrpkjcZqvd3NUnGl8MbY5vRF1/T42ivjlCdmuwtLlIthxnLJcTtZo5dV1s3tjNNznnnmsyeN9uoEdiEzEYOugJ0alvHvEJyZTfJA02L3g0PdAEoqRf2l6VMrpzOpaFIUtfE2vYws2Khd21mNR5F2nwPNIU1IJawRkzgjm9BrGLEVtXyaALBM2krxWGKujvG3CRXAmrUVTjWvno4cx3X95zfnhknWcXOfCIuQPXKgY4VKWjPK2b+Me2Zkjvqy0fKoj9xsDO3pC5tpN67rlAc5Lto0jtfkefP1O0bYyBIZgoiQAtN0aCKfC9eC/y7Fnk9ctEniN5tshaWUGGiqRCSplhLMShuCOoIFKQaA6JGgIlCDUGqp+PaeM0JxZIhvNnyuOsXO6N9lrcRi7FHL3FhcByMaXipYt2GRCqu6CARZJ3UUX21uS11WedbWc4f8nl8Qca/FjV5divOcAGfnbf0x31wnTXd0ZcFNtHs5Lavv21+oE2zGnvh9BNTvtcmkyzh2d3N7N0EGPG53UR1E2it0UEGjAYB2EYAsMYXXpUrsCPGW3BJrEwEOOIhJHDOHA6TpwOAzfHicOYWMtCLSsrUIsZHg3ssBvIDQRtk9ibwKcP0N3fbwVBqk/W5T3FaxcdYO/NfHNrv/uyns0/zsOnpJ3h5v1AdsZrAzMtCVLFKG0myWdUjqhX7ep2pokaBRu0MVrIXLNNqjVYZKIWIYfW/zaZ72afJTbArg626bz8JpXaokrNUo+04R6KFZlLWhjEkpdj2DycRs8IpCFYjZYEIapHSDfjC3GqmJpBnTwS1Gs04cn/HsFqm0VebZ9dAlQMrCyDSXgvScgJO/92DKcetYVdxULxW5/cxE6qbkAxuo3c+l5Ft+KnNO8t3RmwjQW7abLdcp8/ts6yn28rdu1Szb5tdapot2fX57/fo9HbYEeh8IHfHAlv77sdovrztc/sf+WxtZHttLNCd4+nx5Juwm8Gm6Ks68p8PvP6VSKFSs4rp3X1eRIOCuu6FRpMaWSaDjaGUuRwmri5PZEG4d13n3N3d8dhnIwuuHOabHfYwYUYVcmoXbalBppiMnqUCBIDSCGKEp7QfEo1xc3zkpnOMzENiJjalbqS0bJmPvv8Ja/vH3g8X5jnTM4txqh9wRZ3XDahxO93j0Iwg9OMZevriN1rM5XrlrP2hSdKo/bY/W0o3Teu5+f+ShLIiIRsHuRUiTWRxshQElONaCoUMZXRHKLL5DeKngNghXWwGizLtJCOmXyTzfCMgTBEQrL7VrPXBtpt5ZIpSzEv8xqRrMhSkQzitXNCFaoGogaKBpTIcDwxvnfL4ceecfrKM569e8uzmyO3xwPHaWKcLLnfbAsb8C3CrJgYSwCyKp1q31cG8TknOIi0vK0+fnt/pEd+UPoat62XDoZ2jsZrWpU7mtQcp1drlpjqTIiRkBIpDtQ0IZJ6DpZFbISQhqtN0mCzhkTP64kgkRIC1UG7eF5WUd1qGireb9p6t0WG59WdE00y2TqbFTh9DfU7oC8CMoqF/YdITREpMMRKCtXomKH2OVi8fZsE/tVDbC2WCqEolIJUJS6m9hjmzO8tmY8fzjzOF9a8UmrZ2rqZgQ1QqVLLJlRkdkhbkPxaQuiOvRA3FUj1dIgqzgChLR7WxogXn/dcnyi7a8TWkGZ3tWiPbfbaRFEK87qgKA9n4TwnLuvAJ59X3v/cihU3U7UWoZRASBb9GabKdCgMx2wmQhOxEnNAZbX7rlkoBItWqxAJZF/LGROnDyI/GSK/myLhD6KVYamFLIVcss1NzpBaV7jMhXkupgK5WvBAvbZhbYto5wXbnG6U8uo9vc1R9IAA7NblL/j4wQY/HkZuj6aeww4rwmY0bwnEu7yfFp4WB0BcK5UZuJQuRb194hSB5nmULcKjDb2213UzVJvyx77Wzz461D19Dn7GITAOkTGZ92kP7hQIITKOE8NwYBiPDMOBaRw5jonDmDhOVul8npWyRmYFzYW8rJun37mfrW7EtbG3gaMtItQA0ROzqp2bG+pPAZD6hw3c0QBOpV/3lUT1k7/397IdTKB7ea/uutIQCx1R+vlc9aHd+Xcv2+5a2nOTNbYFznObgtMp1K3tGAxwRK814VxzzCFK9IZtoW2bjCxHxGrRiSVO563WSgPJ6ufa+q0ou8rH1fjPjfvtxFmtTvgU4w+3vhxqJdZC0syAXYcBH/OMx2jc9DCYsEAXMggeLWz3DJ+PMCWvGK1AYnXxpVo2I7nR9xoAiljzxQGTTE1KzpaQviTLC1qTR7FyoOZgXkFPbpYGJoO4WMEetLB9LtJPQj1Xx2u3tVzWJ7PF1vel72sDSO1zWu2Nbo26TWspG3acnjKhWxfcYxfp7pPeZW2hi/3zfbRHdRet1afyIrv+uj9R3fr4dr64p/l7PfTJ87bvtifxc+jtodtvt6FjC1W7F8H7fl4Wzo+BISqUhbxmcs5u1Js3NK9WDTx4wvjxcGQYE4fjRK435LKQhsA77x65uzsxTZOpaAEb97sZhH4v3aANYoZKTIGQzFOahriBnxaFEbXorneGqkKuyrxm0rzyeJ4Rj1SVWna89pXPPnvFq9cPPDzOXJaVpVQDg07FaqtMk0VvBooZp1uDtvPvYhZic1iomPBA3T7rUVbvK/v7+1Y4JAFx8NPRmDTDuxGaHAiJQSwkgQxImFxdVL0+TGKoI5MmSJkigSyRJIEi2+AUB/MgrGNmnVbStLBOK+vRaIhWQ8YEAyQEq82UC3Ut1FwpayHPK+WcyedMuQTKopSLIqta/bLVc/mqUDWaipYk0t2R8cM7Tu/fcfvOLc+f3XJzmLg5TBwOI+M0klLcxBJ8qz5Ya5Pd3nkq9ywFo3YarS8EbT0Qrv7fr39c72B3v8zRsjkZt3yszYZpDh47roECCV6fJxWrz1MrIZqYk0qrKiMmcDAMfZM0oF7wFcRzjB244mUbOp2fHrGvukXRxScE8Tl3zt7VpCLB0HsQz7NdIfy2oneC/KygiymolpSgCEMspFiJoRiYDNqFb9jNi4jAC+B1s0gqQStSCpKNTvvZvPL788p8WVjmlYfHM4+XC/Ni4MfAjlDDZlBXz3lsILd2u6TQRGGa4zc0Glry6GAI1OB54MVq1agIwRZTxKmFMQpDxKhkdvk08LvlZpsDL0azV0163oBKLYVFzSEznoXHeeS8rJwvmZIr02R3W6vZG3kV0ihIhDRWplNhus1Aq3NlJQZKDWiOziIJ5DVSq8l8t3ElKugQ0SlymiI/+SORz1Pk259nls8zs65oDQQ1SmHJkNfKPBcuc2ZeCuu6FZluuW9t/WwjwWyOa1tz3wX6bB92feILPH7gwY+EzUvaDeErk3YPfujevy6dGzavoLVmuLbnW7s3I6JZc9Umnjboje/fjPid+eATRHu/K1CVegWAWqhwX/h0TMEiP07VSA5+fDlCMXWZwzRxOJw4HG6YDieT4kwGmKYhMkSBkpk9SqalUpa11zRAGiVlWz2FrYO1Ad7BT2vhnYW4tbhctfn+HnRnVwNA/po+qXBVxPQaCO32dd0J3majtbPwHzSLz6+vh5/tO9fDar/r7d3q146Dn54V7FzuBn6oFY2uclTplqGoejsbEPB8RmI2I7xF1gWb5DZVL65oBcEt2AiWv6Wg4pUgdh4TVTXQBVyFL6ogpRBqJBEY3SuedgDI6phEJEFImJMqmoWm7rWuHslo3uiuNpi8fyhXhPCev1QdAGFV5FOCNClptCjYkrx+QfLozywWrscm3tZGrS2aHLbJ40m/+aHdaqHXi1MHPM1gsCbWvlg7QbN7V+2aNtBw3Uf2UT2lefOr7o7XgK8D1d71WifV/tS6ot3/3Zxm3Vc98V39a9pfX9lobRy2a2sWFNduiq7MtBs4b5pe7bluxro3jvSvOOhrkYz+e6/ijUf43JwKAtRKXlcuZwhk1uXikr3q+QUDKSVW9wQaHS4xHYRJxq0PSiUNgdvbyM1NYpqSR37aWQRfD7xvytZnbOjuIp2ekC5BjAYnrrYkFsBt83qt5qxYciHOK3GYIQSr5bauzF5HaJ4XPn/5itevH3k4z1wWywMSquds+JyzCwTRjtPvqt9QZy20e2qgpuW6if9o61jiEaq9JPr3jgRFkHHX+cpu4NbeA9TBT+sPVhtnRIIZ1UEjSSNFE4NGNGaqBFIQsshm+EnsMsBBAutQWIaVmBaWYSEN2UBPjCZDHY06Vmol52yAuJgHfz3M5CkTDiv5QZDZEtnLrJTF8hhCNslkqSbZT0ikFyem9244Prvh7u6GZ6cTh2lwmvjAMI3EFDpdqfpK29bbbR3zyLpuzA3Uoj4xGHUwRPPoK1zJ/+/vSY8A9THXnGzeX6O4iAJIDWYEB3NIpRCobjCLt3Ffj2Oye5MKqRSPzth6pf4sw0AYRmT05zh6rSp6vmrzpWW1/MzGZGnU/ibghJtOoQEfN0SX3C6rEoItSMFVBB+r8vuqTK/hxz8N1JuEpsgaMyQHP56XYpGf6lEfu97Q8/UC9SvAHwpkIVCIuiJV+SgXPlkyL5eF+bKQ55n5vPDw+MDjZWZZLReK4IIJYevzBIxBIdv9N5p523w+dBuy5YONTo0sPm8WzOumQZzaa4VlTZU3MCZhDGLPqdk+xVMpbG4MrW2D1XxEGgitrKWStTLNwnk+clkzc3blup3pU6qQizlJGvgZU+b4P8oGjCWip4H8Y4msCcmBWiJ5SZQsUEBKsyOgDtEo9iVwqIGvvh+I7y1867dX9BObp5Zq16MZ1qymNruY5LqVftEeBOgGYBssam46aeI73T4Vd3gKrTTDl6WF/0CDHxy87KaNnQrJriF24Cc0yltoiW3uiQrbxLF53rZ9bDa29I+a0acivkDujtnO4ypq0ZQ+rFM3qWyL/FSnxRkgUlXTmo8GgEZPwOwD0+fMlAYOx5Hb05Gbmztubu6YhpEUmg672eR5nUkhGF2qmKJSSJHUrsEpI1eG1A79SDP6veM9pcDtLMGrdtsvu2a04X1adyBoR3Hb0M+20FxZjH+6j2Yqbv46ByHSABA2STj4McqkU2ViMMu3+F68KbptXjfDmGRop0bzNpXgkQi1Csp9gsMWmjb5NcpDU+DSYJOGmRiN9lagVM/TaCex5RuEYotD0kR1QyS1yXsIxMEAkA7qEqNA3BYBi2JughvgE7M5z12MQfqKL2o1eEINJhlcDbwN0RS4xqMyHozPPQ8miDDPkJKwBGEVYalYEVi3BM2osHFrxtm+z9mxO1gUW/fb2Cu1RXJ2ycNP+4FA8PvQd703YPZdPmw7kDZ3t74rDaBd76IbQbtjqgOxPe2tRXu6sbQTxniz717/28uk/6+OnH3ki3177Aw3O4692V73yI9HXZTKsqxQM3mBNGCKhEBIVkV+GEfrzW5MDsNIGCA5BTiN0V4PwjAqw6iMQ7VclX5O2xnZ1O4R/rDlcMRoUbaUIqkkl5fFAEq0/Vnk1lB8VeOtL7kgS4bzTKl4cc+F83lhWRYulwuvXz3w6vUDj+ezKdZlM9yC1i6yEB1nRHly2t/j3tp9sP4uIbhgh1EDq4qrEH4xaqXtK0IYff+KIXXjbaoWz89o6KyBoGRjK+BRHyGykjRSSSYPnIoLvJhHu+za3zzXxrLIuTDETEojy5BZxmwqaV44M7kyWvFq79nr1OR1JS6JdVwsN2gMyFyph4pcQC5QZ6WuASk279RiYebh/RsOL07cPjvx7ObE7eloEtbTaIUij6MZrrVQroQn9jQvU00zWqs7Lj0HK0glhtAjP9ENh75mvwF6GqC9XncFj/Dkti+xemhOr4pVqLEQ1fPWYieY+r1J6FCJZTDjWcGLqiES0Bg94jMh40SII8RhE2zyiLXpKLhKoVqNwVxdnbOakm2uNm+J6I6GbJPkmu0ijfZm11m08D9r5bOiLLVSVyV/Fvjx28Q0RHIaoARSLAyxWJu2PtdzO/ek3mAyZF8F/qc5cYMKf1jgm7myrCuXeWW+XJgfL8xnk6B/vMwsTnuj2zTNWMRBXHUnojEstFZ3RrrjJ9gcG31OGZIwJqtrldE+F6MWQRuiuHDEYOpsQ2Ia4RQjhyEwDgK1UKpRZWvJlFpoBVeb06RWmNXGw5wrS87cPwoP84V5OTJnm7NiUJ9nhJoDOQcKgkSjvY1fL9x/M0OIvGOFkqhxQtaR5cdM6k3XQJkT6yroCmRBs0UB85goOVFzpJRErYkfPSbCT89845WQVxAqWlYr0L4ol0vhcsmsS2VZTSyqBQgMeOuO9uZtX5tIl4+poGZ/4d1g//wFHz/Q4MdyE/aXIGwFkd7+sEiP7AxJ59TvqHAbgnyyn2bMXGtPom8Jye3Dst0YYjPma4luiNmA6lGgPsFWhiuZzeBSy07Bc0Q8DiM3xyO3Nzfc3d1ye/uMMQ0ED/0GTAWmJahZTkqlFuO51litRsn+JGkTGB3wdKd6i6xdWUJvb+9mFz0FbH3TN7eKg8Pde9tp/e8DQU8fxT1A0gZedQqLVoIGiioFWyAydC3/sDOwCT4+3Z7oGLuFeautT7IzpvUt24a8G6Bv4Mi8Yy33p9ZMJPaDWx+IVIkMwWr4hJisQKgr+URXNAqDUJN6hmNFo/VJ8ZNt1Mz2CN7ng1hkq/iC3ibelrM2xPYaxqSMI0wDjKOpvrULV5ew7FhuwYuotqRvbx/tTeh95+19qzW2uDEcBQOwqCeSW7uax9bqnAQ3kIPfpw7EO6bUvvZ2cPPkuLFiUqGe/6PfZ4LuQgf78H3LGdp5mvf5AleP/YXvOxB8nyFzvRPbdd17e7bf7gDe01+2qLE0g6C2CF5iGqy443EamQaX4w9KiuqRGJNpHcaRcTxwOByRkCzJn0BVczak0fMfh2h1WBJIWAiyIFIQWaA5WNp80yiIYvczpcg4RJYhktZETKUreol71E0Wt+UnOF2oGCWsKORcYF5RhFLMuJrnmfPFvMuXy4X7xzOPl4V5zazO/Rd3WrQcn02rzxd6qebhrA3EvA3F+Ny7/8wNzi9b5LRFs7Zba1EZUcUUyQTV4Ipulj+jGqi2uhgQotKqL5vRDZFgRSBhy8MVcfWwjc5mrvXmrLQck+gJ29FzsYRAiYUQcj8/BVvbaiUMlZALoYAOwaS0mzy2RKSY0yeUgIyT0d5OE9PBcmOncXT1v0hIXtcsSI/6VLUCyrluEY+i1WvtQa1en8T/TiFYraS2dWesz/kb4unP6uMniFODfZ4y54n6XOhNLXjNLpf3FitTYUO/TUYKzooRj6LZvuxzpUVILQoUPE+olbfoY0dszbO51STalwZ8SgM+sHr+p0ijdpuzAyzRHaB+VahfFVuafjfyQRbuszFgskKQ5FTT0OffGBtes3EZJFBrQjUhJXr/80VVAnoC+TOgDwG+qZzWzPMY+I642qqYg7EIlNZuISDRaK+pRKq4DeYTrAW1+urCjrPSWsqAn0d1UrT5KbgUeghiACQUNASGNBIGKyybhpHDmDhNkdsxcRojxzFQaybnlXXJlLIaJRhbf5sKcS6FJYNWKw9wmVfGS+ByWXk4rzyeF35fVv7iITNcKsnza6sGao3Umig6eDtENE6swwHSSP3JA2sYWNfEOgeWObBeIusilp9cBF1NNAitxFBZYyLFQhoKpWRzEFdjc+TV638t1cps+LZmr+3Xm9QV3JrtGcSB5nabFbpd2nM3fd18Qpj4Ix8/0OAnxMQ4eth+Hyv+niv9m/k+PYLRkwkbJ/t6xe9/S/tP+veaoMIe8OwfVyBAW06QFymttXdqSxLfDEubRL3adtzOm8ZDxwrVPX92x7O7Z9zdPefZ3QtiiNT1QskrZbUqurVkaqndQ7Ubz5ZsFqwuhoTNC9U6VjtWuGqDp63sk8ETXk//p7t22AGaK2Ox7Ua373Vb7s0D/m99rK76BFYPowTzkMVgMtHrarVz8mpqJporVhrUAYB74a8ezT51j4YpavqCE+yeqAeTuuCMsqsP4cA0CoPglZcVkUJlpdZgi4oEV/FxydkixJIodWDQSo2+8A+pJxrjcqRERVOlRrPetW4AaKPa0BgVNh6CLSw1CppAVCx/LQUL8w/COMI4VfPeJyVFSwwuvuilCDkqMWHbIKRixojNgLq1n8JaIXuR2ZZTp82D6RXnLZfS7kMK7qmsUINSAz33Lu4WX6Mg0sdnz81zUIuo1yXxc9nnQjnIRbFicd5We9SgbCAj9HG1c5ywAZ69xHEvylld0U5tcTT1Su3Gm6gYKP5eg6fqlqfkA1+lGeO8dcw1B4Aqewvez8Ml04MwDpHjYeLm5sDd7ZG7uyOHKRGjMnjNp5TgxTsveO+D93j/K1/hvQ/e59333iWk0Xjx0arsSYiWMxDr5pGVQq1nar1Qy8VkoavJrLacN3WDlSCkYeBwUNaTGbNrMXGCuAqyNiPL1wLP+TEpATd8tKBgRTxlJZfCZQ4m4LAsXC6rR35mLpfVlOCKmrHpFFm7E+7d8L5UtZpVRuU6v6DB+jf7xZ/Eo1RlXYvvG6cVad+a17+6KEvNDgIssEyuYnLFDSC50pt1+dr74Ko2VhK+b4WoHrn1ucn6gnTQE72OSYfVTnmqWjdKlm60rL4VNqERERgs8V9lIBwODLcjwzQyuuc9RgMIVaxm0VrsXuRikZ/ravQWAcqlsmr1chaVtdLFjlJQhtjqoZhccqNpNadocyI2RoC6P60piLXvx+aUbSHsPTsFm/83EYMeZ/VaNI2SbeOmluptUyi1ULH6arEKVSLRihx4Hs8211nx3tpBX61Wk6vJEjenn3gyurpiWXUHcXG1t/VmYHk2AkL8f8It8H9+PRCK8G0VvvLOyFIHVh3QONg6NLAVxxZFiOT1QM4TOR/I5QUqJwgXJDwaNXuoHD68cIiB0zfgp0V5UJNcboa0BiGrcihwWAuHnJnWTEUomi3SWIBatkhPj0bUDlihYVJ3Grgc+jgYmKolUlJ12eeKhEgcJkI6EIeJIY2cDiPPjonnp5Fnx4GbQ6LklbzMXOaZvNicYmAnk8vKWgql2hir1RTU5nXlMgce7mdev7rw8vML3/yNB8afS/zkXeKwFIYzhBipCJcceTxP8GOZU1DKD028PA5oSZQ6sa6Ry+vA5bFyOSvzo5AzrZ6uB4kDmiyq2gG6KjFWXv625fU8nhceHi48Pi48XrLNi3NmWUxttjq1EoJHrh2EK1seff8HKnVTjG1S9G5YpfTl5scfaPCTUmSYWsKmrdTSwEnzouIGRvuG7CI8u0hPk44MsucP7shPbX876lebyLZjv63x9S3gZ9s68HHrvw8qdW66GxJBGhhp+UlmyE7TkbubG+5ub3l+d8ezZ88JwHwW5otS82w86eJSkm1W64mbTyhnVY0KLo1rvG+HJwuwbNfY/tjnEcBGbWvf6tzZ5tny+9OAUN210/UvmpG4ceC3Q10fYe+Z2Z/mVodA+g1pFKkNuDZxi+s951IQNUOhhm2Lrt6S102+cc2mXjJ46N8WsutzsEUKWr5IfbI14NOSJRSvRaNbbpBiBmf0HKKUcG50AV298KYSiCYuEG1BjUMg1kitRnOowVZqGYJX0zbQUqNaxCdaDgS+iPTpqOI5DMZDlkbJC4IG6QJzgcZn3sDPMMAwQhrMEE4uyWaAw/jypjInxKSkwYyw5IOpGwniHPVshlb2sWSRVKv3Ujx61OeBNqZgkwwOmwHTQE/02kQijV/dqC+9KzpYaDdEt/SysAGgBoLcJLE+prv+5T9qZUnCbiyZSewAqJrnsV5FgGwsqwM0+55HKff9vJ/wbmz4uTdZ/208tt9u5+C+nt3od5qNaL/+5q0zWdbAMCQO08jpeOT29obnz+84HpLVekqW15WS8M577/Deex/wwftf4f0PPuC9998njhMxDQaC0mAIWFdUV0rNVF3IdWZdIssqrGtFl5Xis0tVdYPP2klESCkwTSP5FFhKYc6Z4eIFK2VzjIUQCKndH6PEqINkVci1wlx7/tu6rizLasIGbqxc5pV1Nd6+BeJcinYXCcDnO5NlLhQNHlXzu6CeUOf3o3ude995Qg3e/BFXkaPNdNg/LFdjWcw4tRo/akDZc1ZMVppWPsacCrkBH6/TpRsAUp+wLFphlDyjcatHRw34NJEHHPwI0da5KA6EYi8SilgUUVoh8r2xX/dbcOfeFi3WGJAUkXFA0kS8OZAORm9LHumWlJBgsRaj65rPvzjgWYsDoKqsbvgvtfrrjfrVBI1SDNYmURhQhqDet1qpxo0O3cdMg8PN4+3fa8n9e5ule1BEXUFvB3x29387gEfZHKjlbNe0FiVpYCAypAyhEEL0nB6nLiu7NNJG99Pda7u/pUV+VLe6az6nZQc/eUkss1MsxSTtw09EgkTelchljaxrIDuAliRNuM5z9CKqibwemOcbLpc/x/lyS+VESDOSHkw4J1Zy+W3Ke5ZacPxG5ofKyuwgRt3JuFYYc2VcV4Y1My2ZWpWlU9yK9+EdpdzD8G+IMHlzxyAunpKYxtTXk5bHLSER00QcrNBuGEbuThPPb0fevTnyzu3E89NAXheW+cL58cwyX7jMkXldOc/CvIAuarlUajlXORuYOF9WHs4LDw8Lr17OfP7JhY/+64H3f/bAdCikUSEGiibWrDxejN2xfFWoOVEfBnSN1DywLmY/LpfCMhfms91n8bqFgliJqV5f18agOduUslaWNds5Pa6cH1cu59WU3lzooGarlVR1UzQNvkiq9z0jIFTXrrK70SnLydVo3biKDQV9wccPNPiJKTJqS9jcgZ8r4MIOpGyTSddRD86O76+3SWbPnzdKj7/f9tEB0Aa6umHeHxsNo0c3MI8t7FQuujW7My92c53Rp5qsotdQCIFpOvH87pZnd3e8eP6MF8+fU0vlwXmW60WopVBz9jyjutFnnLPcvaR+grJvp36t8Mb6ubvWNhE0L/mVmdUmHd3e20DPvvDXUwC0bV2MAbq625d9iO+lu9uknfjW5t14ffLbNRfEqRclKFG8WJjXc8i5duCzZg8z7CiD7XrfDo/pFAMNlRqqR3y0R3061dL4C2Yk29rW84Aa+DHex9onXSSZZLDLZJrhYIuJAhoj6oXMNIKmgMZKiVCjqfTUWKi1INWpdW5kGwBRz6PwSEnFc5rEa6WJ5/cExhQYo5AGSBOEUUlDJUZrhxSV7IuegQ+TGo2DR2kwQ20z1nxxXgz4UBotpXmthdI8VtLUkkIHam1xt0XK2tcm1raYmaFh9JZWnLjSGHralOQcPHT7tHUx9XmkDfHWdXUDQO3RK8ZvE1fvID3So5gDo4Gaau2wfac5HCoNamnf6WYM7zt5Azzdu9aOvnMwbL6BbS7YA0DLsQrurDGVr2FIHA4TNzcn7u7ueOfFc07H0URcfEtJePf993j/gw/48MMPee/Dr3Dz3gfIeIIwgYwII8a/XFAuwAX0kVoeuVwi8aIgmZIvlFysfzdqTvboGMKQEnWCWiNLLlyWlWF08BO3vtHquNj8bPeqOpuoOZJyNl5+ddrbuqxcVqOqLOvKslbWtZBLkwJ2T4ZsilsBB7bVGlR6JLXdgU2xrd+zPg3o1fP1fW33eXv/TfBjqpLLxSM/AWKsm/RusPOyIpQGlFrkJ1fIDnp65AfpdDiax1a3pHjzL9l+W1CxdaAQoitAqkV+wnWkugT13MqC+rGs7p7T8YoXy8xixaWLGWMkd+pME+Ewke4mhsPIOAwMKXnRUuM5Kp7axZbb1cDPWgzsLP7e4lsTKsq1BQSUpFb0uThdriZzfCWxZ6PbtnUVz19xGg90+6MZgrKzL/a1ZZo8S19Ttb1nbdqiahIClu9p6/2aK5cls6yFQQOFaI4FpyQ2wYPtmU7FL55g30GPKtkjKs2EoZ1j62MN/KyJ5dJYOgPICCEhMqAMnRZcqWhTF40QkjuAI5Rs4Od8/mnuX7/L64eX1PpAGEbiaMp1MSXW8tOU+pvwodElv/I7C0HgfwpWuDMGVolMpTCtmWkpTPNKKRVWs7q1bI6UNrGLW+R7R0N3KomzdFJkGBPTOGyN0FR0ZXDgMxGGA5JGnt0deefZkfef3fDBsyM/fDdxv8xczo88vn7gcnng8THwOC+2tmLFgcNi47q0yM+SkQs8PC68en3h88/PHG8Gbk8Xfv+HT/zZdwvDCBIDRQeWNcJ5YCUQloTmSF2fUXNEl0DJsFxekpeFdbF5Tat2513w/ln30SBf6z4S5XUpzHPmfF55eFx4eFw4n02Fbp6N9qY1OnUOmgugKRy22c/dfZ5vLKhUY0K5EzUmoz+DOSq/zOMHHvwktsjPVQJ+NzSlLxhtEtlHfbiaYN4CfPafhbBNSL3+hufFNNAE7BettiRpM1a6V68Bgkahaee8IR7ZufJEjTIQnQoSYiJK4HA4cXd7y7MGgJ49Z11X6nphmZN5rUv2yrpNquewUgABAABJREFUT103yps59M3D36NAdgqmXR82tCLb834ptbd2i7FI9ya3EHHflDeMxGZI9XV8N7HsP++38xqv/G955BY+wKSis1hF9+DeyJyN12qFvMxKb0XPariOJrXr6M+uZNKjPh0IbQDoimnmxgTJI4JRnRrZaG9e0M6L89q9TMRYGbwIJNXrY6kBnRot0lOjUpJFQiSat7vECsFMmy6B6ydjjhrpntuUbBE3aevQ5aabqs0Q7TklCAOEoXohQVtqSuNIRzUAlCxyExOkav0qBMXV2Qme/LkqhAyEnYeyiifummG096SawAMGQnYACHWanbdna65S/L473bE0r7w0wQV2of8N/AR6bVXz+od2nC3y2Tp3cDZUjzLTcm1th1WBuqsCv59DqoGdKk59wwyJRp/Z06f2o7cbqQEHTO0b5lHfaifsvGpugIlf3B4s9UK2ITAMkcM0cjwdubu75fmz59zcHBjH6PXLLBL4/nvv8f77H/D+Bx9y8/6HyOFD4IQrbbAf7MIKzCCvCGngeFSElZwvLCEBa/e2llwpOVPV5vuUIkwCMnBZMuN5MK5/8nobXsgyuuHdLlvVDVT1iIADnmVeDPisC+taLL8nZ9Y1O/BScos4hi03tKVBt7FcBfdy6pYj488NtGwOtj+5Ry6mugR2L1NUl9Q1o5OyRX7as0U7ZKO91WYoW60jJDrA94LK6uBH6NLv6m3a7UaPbIA6jcXEEaLT3prSVwMpG+VNuod4T3drz4IgKRIOiXg7km5HhsNgBW9jsuKdMe2cbwbycvV53CM8azHgM5fyJvhxgYAWDR48ClPVlK4oJmDTo7vNiRqkqwtaFFo2p2MDO92m2Dt195CWLfLT5hNtlk+bTCynBa8Jk3NhWTLnJVvtlmDCBzIUJNUOaItqFx3pIg9O0W+0tx5l1w1am82yddTqiaF5Tawe+VFGlAM1jFQmVCan5hZEMhIyKVRXGd0Yf5VEyc+Yz7c8vH7Jy88/oWi1KPE4EKeJOI5UDiAvGIaF9EML47cHPgQ+wgp2arAI07SuTPPKOGemy2KOEqwQfF0DQa1YblBFWqfSbs21qzVsE0x4IqXImCLTmMzZ1miPIoQ4Iung0Z8Dkibu7k68eH7D++/c8VPv3PBTz468vJz57sPAp0Pg8ijcJ0iPRvksOXNZl+5k1rrJ6zMrj48LD69nXr28cDolXt0def0/V8b3C2kECZHCSC0j5XLgUn4I0gFdhLr+EJqFuhTKGinrt6j565S1UlYTpWnVVqrns9UhmPNhx8vPr5T5bIDs8WLg53xZOV9WljmzLJllsRpwW40zHw8qDVqhmNO/Uq4cc01YIqVAGoQ0WH9rEaAv+viBBj/WoSzLqU0c7CIV3c8usvt8M4Cebm8AoR0YaVXWm1Lc/nct4WpvtDyFB81L06yjvb+un6MIIi0PqXn1rg3NlAZSHIjJpBIPhxtuTzfc+HY8nohh5jxOpGgF+LTLV7qYQnF5ylBNArRWpPjCr9Ypkoh7q6xNuzexgR9tZ7/FZK5of7K/uh2q2b16GmXZPFjXQGkfVboCYbvj/JGP3W+ufr7/4/s8NlBoi3qQutHoVNzQsUXTwsONGmuc6NIS7lU8D8SVb8qOTtW2/Sm5kXnl4VN1o9aNihapiOK1NyohZPe0Ro8W1k4nkyrmFa0CKaJiqnF4ZecOvJqRK5Ugpn5lwEOpvqA3gDAkfx58sepLsC3uY8QFD2BMYh69BOI1fiRasqN5/GTngTZjTF00AJWeTCwOlEqFocCQIWWrHRSbAVTUjRGFahSaLjzgYGUzOuxhi615alu0d7P9qxn46vSevpuNBrF702TPk5gn2ik6G9i/9iIMQ9xuMrvx37rCDvTI0468ddQnA8bOTfTpQGlz0Oak6K/ZO4o2j3NTTbPdVtT5CUEVvNCfSfInk3wdR47Hg4ux3PHinRfc3Zm08HRIHA4D0zTw7nvv8c4H73P64EPk8AHwHC8H/JbH4J8VhALxzDCMpDQSZCCElRiMvom2ej0maT0kUzsaBmFZLfLzeJ6ZpplxHrzfOSUnBW8SN+ai55EhnlOGRwJLH/vbGJYdrau1tM3t+2jcfgprEZwqdJn2P1knz5s7KqVyvqyAAe8UG+0UYla0FjQXSjaJ6VoyZbVtzSbrXbKpUbVckqaStpTCWoop4ZXic5h08NS6eul5WS4YUKMniHuUFzHqWa4OZpWSDViWtZLnSjlXykWpF6UuoKuBoSgROYyk24nh9sB0e2Q6TIzDQEqWlC4h9DFT2Ysa7NTdKj26sSVn74CGtnXAG3b3rK3/0H0G3b5oObU9t5bNnhDa3CO7+ns7h+jOwfIGU6IdrZUCUYvKCg0cGpUvlEJaC2XN5GW13ChnlcTduQF9LhCxiPjQ8oCqgSAzbdSdQbs+1uijdaDWwZtloEpENXqOmBXqdZajU/zN+WWgL1Ab+NEjlRNZz2QH1iVb0n2QTNBASidiesE4fk6MI8NPTfA7wp8h8DUx2e6wFBe4aCCxw8ldBJ0+B/Si4Z48au0YupPRFHq3ccz+HoeNVqsuJV+KsTOyM3JQi2nXGPixGHhMkfshUZ1CN8x2TwQDPKV4/lUpTvG2KPeyeLTlYeb1y4H7Vwv3rxf+4Jsrz95dOZwyhWwR0VjQ8ArVH3VKa6asA2U2kYK63vZcv5rF2nhUxlQZXWHzdDtzd7Nwd3thvJkp5cLXf/ORlx+f+fz1hVevZ17fLzxcDABdLhb1ydlypbseXlPWpNGpd3a80CdDDZVxDIyTME2R4RA6+LmKtn2Bxw80+GkdzF7twM/utXnStu+1BH5puSxvA0LtN2wTkkDXlb/OE9p5bHbG//bKb1oDDb6q7Y9BNyr24Mcsm87rV0sIH9LI4MlyaRg5Hm44nW44HU8cpiPTeACFlEZiTEhIqHOaWwi7eLVdAmioEAOhKqlWoioJMzFGke4BbYnZ3wuo+N14evG7VngbwpAn39nZfu1YbQJ6CnzkLYf5XobC/re8+foLYJ++cil4crkleZq0sRigvPLK4wpJ7v3sqj3ay8KIOmfcKTo9od5P0eeA3arZzFVxikzzHjo9oHOkHQBFCKkQYjVKi4MfqufkeF5OrZUSKkWEQqHgkaPtjhgAcuBDBKz7WN7G4DS2QQ38tBw1HEREr+njW0xm3EgyYEcSAz3uYZfgSfxi+0rGG7FkeiyB3/PHDSRVNWA1CmMVRrYFWItc1W5oUYFaTWmmgdfW12zYtZttm+D1OjxiVNUkm3vER8TZyA13tN/5VK6R5s0Sl3vbvkfvgAefvLvCzZW1tXXj0A0Me6c7X1pfbQMztNhP2PXxpmRkj62OiZ9KxVgyDrp7XY0uFBO6zLi1mV25VFwpMJFSMu/nYeB4OnC6PXH37I7nz5/z4sUdp5sjNycTQjiejty984Lx+TtweA+rVvhHyfYEYAImhJEQzdETQyKFgZCgSrJIZq3U0Yr2FS+Wu2RhKbWDn/PlwryuNJqQ+HOteFKO0ds2R1ezBLdB2jy8IWDKTm4IiUcqLTLQBvI1N30/rdk9efqN/9XH2/YmrKVwnjfwE1vkJxgIomZqyVapvmRqKeS8kteVNS/kdSUvK0WLq53VK/CTi0fCckaCkBOkZJGUISaPJoDmzZBOKTIkj1IXKyMwZ/MWz6vRiksp5LWQL4X8WMkPlTJXAz4Zk+FVgRCJh4HhZmS6mzjdHTgeJ6YhkVzyuXm/tvVse90dI7TotjkEzcB32o+3nc3bQpJgTkNM1a/lOLV6UWHXAzaHgu3DbIwmMrQJJZiXzWwZ1do97DSHSzPW2UWTfdwjFZwy2I+uWP5gqUaFz5m6rtQ1ImmwPMeYkBjtmqKwDoGUK2kRr+3jka9SO7XtjfYDcrGxrETMshB3lGChwJCNDUolhuyOtoJ47plRnaBoJGtwNkREhgEZD0jOEBKFRK0RyXBZC2n+Uc6Xb5kddDPBTwm3X4MfroXfzbnbag3g5mxRsVqqU5tbRH3PiGlqvBhbRqvluoAxavy3xW2B4HEL3GZUreS8GpigUIgcovJ4EB4PAw+nRLwky+8pmZbz1xzzra6PnauxeezcareT1lWNbvaQuT8svH514eH1zMP9zA//xMzt7UxW6XR24kLl/2KpAyy3qH5ILh9Q10TNX7eSGe4sH0LlMKycTgu3NzOn08zds4Xbm4WXw8xHL1e+/fWZz777yKefP/Dp5w98/urM64eZ85x5PGcuS2ZdzYGhKBpsJbHaT9VzmhsF1Ci0pgAIiCmFHsbAeEwcj5HpFBlHm99GGWH+4rPiDzT4EZGd5d3AzOZZaRGUDmTeAC2757cBoA5/uNpfuPredS5QP7fdeWo7vf76GuT0v5txIU3NzUCPLaQm/DqOE+N0YBwOjOOB4/GG4/GGw+HENB0Zx4lalZQGo8f5Yt7T9ipdxUZE0FiRWr0GiyWUm7q79OhPq510tXVvT6eso1dXvTWE6q493rAd2mKytVYzVOmTqdISKLo3dFMO2FaoLRSzvbc77FMMtb83cnVO2/2i37fNCNV2Ue710SqeOK/GYW2JjmpUtlKVVaSLWrRFkUrnjbfk2Ua/2gOy5vkQXOte1ZOndcv5iZafEoOLBUT31MRESLWDoBANEKhzn2sJlKgUySbRLZXsNIoNEWDmrphxhAOXECziNCQc/HjkJ1xvMVjOT9oBoNDYTI6SpKMlthvh4McTSQjVjQqJtji60VDEQt9DNfAzNQpINa9VXjZQXb3tWx7INmQNfLVLbgCxGR6ChfkDlnhdPbHbCjh68jv779sFWP5LJIpX9JZwBbY6AALGyaZj7caELWzaMo/bBes+P8SPJ7L1X+8fWz/f96b9KN7eaSCoNfyWf2CRRZHoHlmL8JiAhEV/LJnXKEtpiAwpMgyJaRo5HA/c3pyM9vbiOe+8+4Jnz265vT1x8+yWdHtCjs8hPgNu+OJm/+jbZInE0ee7NBIqkLTXXKpVXN41UGpkWpV5zZzPM/enC4fzgalXY7S50gRlKlojtVqRxeprTAihJ6XjAjQdIKoQktXzqapItXHjaBQfTPiIuroX0kHrZjxKbfdI/d57R25Oli/w8CXwjcdaKveLgZ8oJj8eHQQll/Ov1cGPAyEDPivLOrMsVtfIDMRNtdToVV6Tp9hrEciDGlU9Vpbo33UVsuK5WSlFhqGQhkQZTKlyXbNRCpdCWQt5KZS5kOdCeSjk+0JdKrUIqqHXDJEhEg4D6ThxOE2cbg4cx4GpyfnH0AFpW8+ag7C3ubddoBEwbT0kBGL1aFEDP2rgZ5CAizB3sONTeNOvsagyG6VrLzAUnPZHn0V2doWaQa0qNkexRShaRFv3fdPDJ622lF2Yr1G1oi2qlw38RBHCkKwfJOvbKQqp1D53m3EfvFB7MKefr3ldQMUnuKX4eJZoiwbQxJokVCRmc3yJqalKsOfgrAZBXPIeCpEiagqiaSSOB0pY8RLKtLpLaa3MS2VYJuJ5JISJeFKGP1uQ/1qIkj0S6W2gxSOLxXME26a7iJ+r85YGhnwdrVBFjJLmTtGslVyUJBXRSFTrQ4pScybXwlIDa4H7BI/HyPk4cb6MzPPA75aFh2wOBcHXxhYxUmV1p4LlHdadwqhFwZa5evRn4eF+5f71wmefLty/XDjdLqxFHHQWlEjREdaBGjNZH0w9M5+o5YLm6vLWwFiZxjM3N2devHjg+fNH8mHmdz7LfPztmZefrLx6tfDy1WW3WeRnXrJtrohbCkSp1GoKj+x0MH3w+by1SZ9LMBtjOiROx8TpZuB4E5kOzv7KI8v/XcAP7ADH1XMzCLzj7BKphAYytgmng6D2egd+2v9X4Af6ZNLpceFNQ2r7y/cim8EirmYjYVd8b//cwc8Whg0C03TkcDgyjUcO05HD6YbT8Zbj4cbenw6UosQ0EtOABJuGm1doC5Fa0j5FkGKRglSVpMqgMIhVHY4ei25UrC3M3iZdK6DWchlsbd4rE7m1qU3e4AkQevLYPFnbJGoJsnr1A2mRFNkvDs1i2P29x0i6gZ0rZtAV0rg+v/3rzcD1yd3zprZJke4xkmrRgIJTFdgMb6n02jIbn1p3CaabXdxAWVuO2/8NOEpgAz7J6GAh1q3ORCzE2ICPAaMaBWJEQ6SGSAlOIhL1uI84YG05PXbiAa9QH23Cj9UoZg30JFdvC7Gpv221Gpr0a9vEQU5rUxVxN6q61HADdhgdScWTqR30iXuFAoQqDCqMKhSsKGpFKQ58GrG4KkgVpNp9MTqI72/n7uiqBLq9NmOk+sLtC5l4/Ee8v3cHjJ2n0a0SY0oMwZOsY2TPid/XDDtMQ1+Q7bNd5Nf7as+Flw3WdPGV/oaax7FFmWgdpgGc7as9Z2j3SW8LB58iLQm9Se577gURxWTQRXH1HatzMU4D02HieDpyc3tjkZ8Xz3n3vXd58c4LpufPkJvnSLgFDvzR0Z6njxb9GZEwEuNIDINTO3eUIgTV6BQVoWokZ5gXAz83j2ceHg+cLwstD6U6eC4leBmASt2pbPb1pUHEHvUJ5qTSauNNq+ek2UQhXfDgaha8euznqTecNzsv0peq6fP2QzGXyqt5AQz8jB71Sb6pFrRkL/Rp4GfNC/OysCwX5svCMi+7frqpEdZmnJVCyauttauBH5uPSs/Lqm0rShoTaRwYJ1+jghVDnZdCXrKJSHjUpzwW8qM916zs5Z575GcaGA8Dh9OB29PEaRwYhoEUt8jPPtDati36uq3/sTlL1MUqfF1MsvWZ6N9rWwuU94iPbqCogalGszVHUXAHQ/Bbt7NF1PtSi1r4+W35itrX4AabcEGeHtH032h1WfiaqXmlrIESFwOFnlQ+OC0w1ubACgyxboXZa/DXYQME6CaeBMTc5qCAut6/uMhDjIqkjHghU0FdFa/6mm3zbzWKiglqhHs0fAzDM4v8SKTJnLc1NCwmtxwvfwbhvxGkkEJlOBQ+eFH4ziXw0gZUZ8K0yE/23Oh+PQ6o1MFirbUrHzZKpCKuLFk9J7Apo9m4ork51ADWkpXzolzWyhjh4Rg530xcziO/OQ+oFkr2yA/NbsWdBXaea97yuGvdom15rSxz5vy4MqTA61cz969mXr2cyZ/O3P7IzEo1uqGsoJG1LugysQajEmv5jJovFvXNW+QnUJjGmbube95953NWXvP//Y0LL18WXr1eePU68/JV5vX9wv39zP3jYpS3x8XPuZ27FzV1Gj1qzsNWpNoEotzRJEKU0HOahyFwnBI3p4Hbm5HTs8TxZDBmfRhYPv/i0+IPPPhpE0EHKDRgw5PcnAZ2riM/IezAD7tozHaA7jnb9n0dDXoa+bmGPb6v/ULWJ7i427wCdvRCX82g0obszVCbxsmAz+HI8WBRn+PhyGE6MI2TUeKGbJEfr9jX1IVMHYdOe6vBlHKoFamW0N1obwkDQCl4LQHxyV5sAq9oL8ZXHQhV6AUoTUnbp7DNfuutAq29bOtgh6eLkL3RdUaeAJerdf17LPJvfP4l7Ib9b1uk0VgH6txf7XKPzfPE7losIdTaIVQ2ylvdeab3oEefnF439ntT9Yto/ThEMZnPpF2pKUR/TtfAJ0T+f+T9S6xtS3IWjH6RjzHmXGvtfU6dKrtcvuAfP+rn5/4NkECyEDRAWALT4dWxRAOBhCUkIyEaSEgghIWEBDTANECiA0jQBYmOJQQNOpYF1kVc/RhfP4HCdarqPPZejznnGJkZcRsRkZlz7X3KdezjRolxNM9ca+35GCNHZmR8EV98oYpuIRj4ydr0DYJGDQ0q1erF+sHcYm/WKrqfdknK2LM+0ilwozmd0vFiNOElp9YYl/uKKkYEamNjdFAyMj/25ZYK1wJosgyQgp/KhArCQoTGAWUXxKRBA7/t6pzRAOLmeOhYKwiSK+BDSsezPiPBnrs8OcR6MBmvXg1PD24sOWuTz5yx5Iwl5ekGu+Olf1iWiG2HyYljWgBj+pIj4mdT+urn/pkjX9mdOZrpjOP/17BozPc5Ux49Kh1Cd3iV2qWRjxgjkkm95pywrBmH44qb2xvcvbjDy3de4t3PfQ6Hz39esz14iU8PeuYjA8ggLAghq6hHYBWziLE31ARGc06RgFoJp8uGm9MZx5sDDscFh/PSa3lYVGQDDuxqu9pLdHz8PhgQCkEZRlYPxiY572tXfVkyOzYv5GcBjWc/v3H8emzXJ3za3hoedgU/AUCOgmQZoBwE2ii5ae0PV3DTfkbbvmG/XLBfNuyXfYBzE8xQm1itRkdpVSCYfL3tcVGlhVthLbDeGVIF8ZiRj2pTedXMdW0NbbfMT2W0ndEujHrWeh/eWcEPotYuEjQzHiNiTlgOC46HBberNjZVWl20iLrfF1sxPaNma5808BLNWGjMxihv5PvU2CPVWSMDS0aXwwA7gw48PseBz2iKOVpMABiBVDtX9syxBxftnFm0prGLdFDQ19AIyOjbBGAe1LdawSGAUwBxQwCrQl1U0NMsy1VZ9Hcmo38N1oPXu8nkF4gAqE57S2ATp4rEGuSKTYMVyWhPsLofiAG9oPFFCRCJqBLBRNqcOiVQXtX21GZrV3syhchIe0VMRwR8AZG+hjVXHNaC8k4Evk7jnjtd00BFazwABfu4jpof6T+PPZ8l2Jz3TKbS0wIHLSswCjSMYrjvFZdLxenScEiE892C8+mMy+WAy7YigJVmasEEv20uOuFATWlvDKe9McPqfhoup4oYCE+PO06PBafHHV9/f8f3/ZYd6WCBAooQDog1oSRGMt9O2iO4nsFc0ZElC6KBn9ubE3a5x3/5uY/w/jc23N8zXj8U3N9XvL5vOJ0qTpeKp8uuVLeLCsBws5pAaz/gPXvUhuo+rjtq7HM9UOjMkZhULfawZl3PNyvu7hbc3CqMObWAV/AM/q99fFuDnxmijMzPN3l1Byn+Fupv7RQP8gzOBKow/ham985b2Bwt9e+ibngm0ETqQMQY4R2vQxzgx4ERGfdhbmxIICyLgpwlr8h5QY6LNmtLpl4TAmJMyHnBuh5xc3OLu7sXOJ81Une6OeF8PuNwPmHNEesS9TkHrKZUkmNADpq+j6TSrBwU/IhngUT5mtwBkNthB0JmCCV0A8LCashj6AYuWe+XlhPaogWtlayGJjCCyRX74LrDihn4vNUD/HUeM1Cbfl5cXgwWDSKrmWnQsWmqF9DINLPcabZN1KNIoxbEONwwYDs9AiltLWVCFvXBuQKtmqRr0nm6HIBlAfJqPXMSIUUTCUhan7NYViZnb4JqdC5SNSJVY9KMSSVrauf3l3DlFABTRs6FbwK0qMko5VKVxheETfENiI1Qg9LeYlMOebDP1mCPjkgrgOwE7IKwE+JOkKqgCA1aqcoOBIPR5VSVZ4FYI1ZFl9QYWBmoAinWS6sauLGb28SobjTuiTpPBJBRGF2+mY111New08EIZByW0TTZpLRN7nlJCTnpc0pxUERsw+q2xrM5bcr8QMZ8xCfMeZurb0xlcTBn1/Qs7yP9c66/4GqNkQNSdfCDqXE5WGL7pCDa4yQmB0D+SAaGNOKeF2vw1OWrfyNHgqrCnZHXW9zcvMB2OatjB43mFq4GRuN4RkAgQUoBy5pwOC64uVlRq2Cv3KkvPi59f7BIpGaUBksgGAXSa+eDSbDro2GAHbKglmaQxv6hI0lO7QU6OH/LTX0j60NExvilT5UR2ktDPRv4MdCTSHr2R41bhXBVANSKUd0KylZQ7THGSAMy4jUhtSm4KTafc4VIQGBGMAeTq4IXBz+Ug2WbNFtHgW0fRQ/0xCUirgFxjeA1gfcGSqTRlpRBUdVXjl+8w93nbvDO3RHvHle8PKxYV+3zkw2ghxTRSIF9YkZtpFQi23O9jtNpTzCn3/uDqW0ki1NYRsP3f//c5JFr70sSenaS4simUnDaG7qfgT4/qNtgbyDmTXA9oKlsAhXiCSJoCvdBIih7VSDKGvoIXqsMmACPOrkkbE2KgRT0vL0Bq4rLSM9yOc1RLOPSgy22R0CAZCIHG2ecWdXeYmhIqYJDRUoNMTdFkkygGoFGkBbAEtFaAouKJZTyDi7b57HX70DlvdMPEfW+kBjt1GxVJEIiFUPIqeJQCj74Hxd8dDrj8emEp9MZp8uG03nHZdOaslqa+iBNJiVDWNBCrM2Cs7ON9QIdAwdQ214RY4SIhToCIXIcUuFNMztcK8q+4Xw+4/HpEa/uE9aka1FMXlG4YS8bHk4bTucNl21HKcWa7xoAMiQmbGqUpaHsDdsloeyCWgnMCRErRI4QDiYrbvexCUgqUrxgXQpujjsyRYC1tyEZNfC9d074/OdPCO+d8V++dsavfnXDxx9veHhouH8seHhseHhouFwazntTSfWtoew8gUcAbKIGgAaQIWADP0QMBFOgJDGV2mDS1sC6Eo5rwM0x4e4248Xtgrs7q5W9CPC/C/gBJgAz/ezHN4ug0fR4++8GXCaI9Tzo90nfdqUYRyNa6nzeGKLJbEakmHr2Z1De1InyxqNsvH8iqNBBWrTA1z4jUDT6HizKGJByxrquOB5vcHv7AqfTGdtlw9PTCQcDP0sKOGTCmgJWk53N0cBPHGpvEkizRMHrf2gUBHpDuynT0cFPjwQpnme+9rUIulG2mNASo6aItmhPmhYYLehi4Oc38ZNuqox78+lA0JsOgzybPEvSDs669xiAYK2dYSbtel61iL45aOLOuDKwMOaTF9AKwT1gALqZxKAZiyRavI9AQ3K2EaTqHFtXwrIQlmWinkWXajb1tTiJEsRgkTydvCxkijkGegz8VHM2pHUmml6HbWrcQa5lPQJUEpuUAkLMoKbFiU5di0GziNp6Y4zD/MwF4I2AjRB2IO6ktqwC5ACrsYk8+AcrGF8ACCklj4KAFgFKA6oqVgGMWjwqN1QPCX5f9AiiYN/lxsHS10AUdPBEFMwoR+s1EHvk1ruyq1iDNm3M9qyRU9h56Ny7yoqK1kxcz8WJkkbzs5+1TNbHJ5w/aYZsFlFgf0E3bCMr5AEGN4ZzDaJfl2fJFWdqxD3AMj+2UXlNRYwW3IkBIWnHwuuw0W/0OAA4gsItDscNAYR921SKei+o+w5YU8UYkxZyK2kJIQBLjjgcMg43K8pWAWoQEdQKW8Se1XDbcp0Nu2IWwCgbPVsrU4hDQbSCHhNW6J+sjmLAdB+ubqLdf3HYfg2AyO6TiuLIW6zZ249aG9pps88wuxMEMbAKm4g5YE3BD6zmp5aCtpvYQal9TgQoZVVm+2D1ICRaTwhA602CZYiqgiMtGLfX93G3QAaZ7L0Epckgoh4SUmmQXdexMCGsGbQuCIeMsC64+/wRL18c8O7tineOK14cVSQo5YS0RMQlgpJmB5m1niKbipbW1QwBG6+982viKYBxJTNNnkm2bCl5U0ZdDymRqQpahtuK/2myG2P/mm3DPBcs2g8e5wN1fBHtPjAbGFKwVPaiBf2WSQ4GDsi+x3Z1O3+1edHsNonOaxb93WtX2TJSvUG7TDupz9WiLubGGee2AgBi3JCkoQVBDhX5/Qr+ovadQw2QLaKVDJaE1hY0XiH8vaj1Bc57xl4ramtqx0IAWU2ehACxtg8pEVI6IadXWFLDulTQ+xu+bsDn4fGEx6cznk6bqpBtBRfLLLIV+beeCbaalEBKmw6k3wlb5xYAbk1QasNeqvUJS7YPBNQoXXFX51GDiCrtXS4XPD5lvF6SgTVosEE59ah1x/3pjMfLhm3ftd6nWa0WN7A1HycDMrUKahHUnQ34RBAWvBeOCO0GeyUVZzDfTLdHpQauCxCOZ7Sstj2QA2jG5949Ib93xq98tOGDn93x0YcVr15VPD01PD5VPD41PD2plPpeBHthVY2zhqzCti7EtxdyGo3WzUZC753g6z64oqw2Rl8NAN2sATeHhLubjNsbBT/nxf2ob+34tgY/1/S0+R8smm61J9qF/m2vl/EGj7RRLxfsTkC/UfCIzHAQrvGWoMcIafDOYzT06lSMNPoMqGS1gR8iBER4EfNQG7GiZwBLPiDFBTFmpJCs748DJqVUhKgR5/VwxM3tC5Racbls2LYdt09POJ9POJ9vsEbgkAhrBJYEzf7kiCVG5BCR7fxVGSyYcbHMjxfnh7kocAZAU8qYLPPjEdSk0fwAgiSgZQZz6goygUjT10WVX2qgZ+mY5zFsf1ajpLdmOC4yvebtR+ivuf5U6n9ZrfGh+EzhYH0m9LkW99O9Dwxso5IerRVf9FbYGqFcaZBTHLUGJgaVndWGbzpWYo38xABQIGDJahCWrEpnKYmBHM0apaRAIwXTxQ865sUyPwLN+hR2SW50eW7YPQss4CigZoCpUxr02hopIy1CEKFjQAQgsD3r/UxuxAKQfF3A+gDZepICyAbQFkAbI+4BVAE0gKooCGIAKegmFAMgUWkQMMpRAKIQgqizRtJAqAixYrtoQeteGnjX8e3+pt0bJkCadhln0gh20lUJIqUEEjTKnFJCXjKWNWNZkkZwyekryv+nqA6QBz4AQqhAsdyJy5wD6A4tt2sjfhXU+WbRnGnqCtAlrEnE6kzkjfeLTrsp6MPwOoFO5w0YoCcEBIqQAFASjbabal7IESEZyIveRNIBovZUoWgt2z8z8JMBvAChIq4FCzQKLnvBtlWcnk4KQtOitR55AYUIQdNatCXgeFhQSsOZCppsqM1XgUYwOpCxkh8FPuq49jGBBqBdjlwBo64jqxZDL/S2GioQQCwGUE1C0eekzNZr2LurpqYyg2GrJRI9L2kTgP6EbFDdK84PZ30/BDE0hGBOh/Vd6aoh3CBSwUWVwVrVn6U2o2ypElcQq4nrYEaAYraftbZHkmZ0NLGk0RcpCmDQHHQoR9ibooZAoAQwR4gAyyGpXXWqcQiIdyvizYp4PCAdFrzz7g3efXFjwGfF7XFFzMkeGSElUFSHuUnoVCenhc4AAzyAhrgIkWd/noGfWVkWFAb4SUZps2YpI7vq0VQaVDyadiDb7/SsPOXOtq+w7jWMHrAiTymLbkQkjLoXlNK6Mlu3SX4eGrHUnjakSzSRBs9G9sOBj1PGxnk9i7n0H1pWF/Nc38Fj+Q4Agpy/gYymgbP/1dD+1waWBe29BN4C2mVB2w6Q9i5a+zy4fadmNLih8IbKguqDM9WEStS5r6Ia0ZppVyy54JALzh9t+PDpgvuHR7y+v8fD0xmPpw2nywXnrWArquoIZjTfc9nFMDTgo+DQgFBzu0AWtNKsyx4aglbO6t4bAlrWwGkTtiyqQFpFrRu2S8TjU0QmQWub1svCB1jA3HD/+ISn8xmnreBSK1otKJb1GWDKMq5FUHZGioy6E6QlkKxAOKDUWxQQWGw9N31AKlKsiEvFGirQFIQlggqhEOGdd8/44PUTvvrzJ3zw9YIPvl7w8FDxdKp4OhecTxXnU8PeBKVqQ+BWVQFPA9Pko2hzhABvqyGsYaKIXkcHb3Vh/QHXrEpvN2vEzTHi5ibh9i7jxZcOAIDHc3mrnfuk49sa/ADPHAM831Lljb8MMDNeT5gLntGjePPGQtObZzDk3+Of0Kl1vikaxS0Z5SXFpL16Urrq1+PgRxeYRke5R5m4R2y6zHVUjjuZLv+VIEMIyJb5uTneoNWK8/mM0/mEm9tbHE9POJyOWINgjYI1Amvk3oRSaW+a+VHwEyBxBj9KDxJ+E+i4GAJPf5szP147og/dRFqKWiyYk76GCKEyKtpI/3sWySyt1xNZkMCi8X6P5OrevDkrBqiRZ3fSI1jjO/VYLZKth9YOQAIE2uSrq/dAO36Tg1aMzJ1NJjMATnNURSixC2FhhMCqsmcF1CSmrsX23HSMlMpGyAn957TIlfpaCtZd3J7JaAEgsr4WQGF3u8REGiziKhgiDTZIozZJxyaQOjYKgkaTRurhHZ2TyYDJAD/BassCEgmCEFAIsgPYlPZGOxTwVABVdLNhATiAkslGkzXCDEMtSectA1xAUvSETJBk27QGq1SxDQAWYPbAhW3oJrEpFIwIHTt3X2yNxpix5AXHdcXhkLXBK8FqY0wZz4GFOzSW7dH6O/FvG9NPxHpAoK9pEek/+1wmGjZodj48Wkykn2U9T9GRt7/OEhLif5sMYrd9NDasOesTAkHRzwgXEAQpBgM8sWd/rrJALvP3zGb/xg6CZn9uQCiIuSHGC5gJ+15wOp1BgbBklfUVEcSUAWjvmZwDDodFI6mizYxL0Vqduc8SzWPhGX3SOcddmQoGHPx37vfM/z8reulrJqfWsmkgsWwJ9bkxFLTsvvpJYexPMs2Xb+Woe8Glne03UYnhMIAPORhrJvckTUGVyV5LUVCk91YdF4lWE8qaZUUbdBeBYjzipuduGVBUgVSbjF5jMIWjHHwjaGZWxyfq3lIVZFFMyC+PSMcVi4Gfl3dHvHNccXdYcWvUxpCU6kYx6t4ZAiQIkjhbAWr3CRiZNAG6k+k1FgN4sffuEttNzAh26huZAqCxP8iNJND3KpfMJ3tGv/op62dZHHeK58yUn3swVCLmxAszwKaSV+tV5kfpm+b/yJz50YBWCoRMWucr8x1xYC4G/Pxkp8vyH0rWPXPj34pT+wGAGEt7jYYNCFoHwqWgtagMhBJQt4x6+gK4/QBaI7S6o7UNTVR4RHMRAWx1TBqEEA2lyZz5+QZyalhyw3pf8AunDU+nMx6ezrjvmZ9Lp71d9mrrTq6ALUxIQ9XzoLV9XstHE2hugkIN2m2bNLgSGSUKcq/xdZ9IKW21FM38BIC4oNRNs21E/X4wM57OZzydN1z2QXvz/lpswAfsLRwYpQrSLkqVt8wPv3dEjTcoRSBctLaXAWmMIDtSuCAuG+JyRqCKFFX0KkelP37jZsN/+7kzPvxgw4cf7vjow4LHx4LzueG8VVzOFZeL9h2qrKDcg3vkvnOn+3qwxu2sZi+1/56te6OPp9isPEKwLMBhJRzXiJtDwjsvMr7vB5RO2Z5+kzM//+E//Af83b/7d/EzP/Mz+OpXv4p/9a/+Ff74H//j/d9FBH/jb/wN/JN/8k/w6tUr/L7f9/vwj/7RP8KXv/zl/pqPPvoIf/Ev/kX8m3/zbxBCwJ/6U38K/+Af/APc3d19qnOhGaEAoL4C7VzwBvS5fv9bfn8DDM1g6TkoujqR+byu6W4xJaScjfufkVJGtjodpbAlEydwXKzf6EWFs5RkTnl0p7YGfr4pGzwAESHFhHU9oN5UCIDL5YLL+YLHx0fcnJ5wc37CQg0LMRZiBT8ByCkaRzkg2fmzhrPBJiHW63vC2NjmJp0yPYtoYbiIO8ly5VRBCJwThp6+/VtoCACqjXnnF2M0E3PDK+agy+SEPDfC7v/1v1i2pSsrPTukh9309yUGpORbhRpfXak6LgXQtgUWxKUmaKGikXdV0fMd8ugBkYzo4qonLLbxmNNtlKUINVIwaU0xgJiTAYqkdDdXXMvJldc0ghJgAMjO2cGPgJxJ5m6OFZhaUMYcD5/3KmNqAAh6DwKUjaaxdPep54HW+50CIZFzyQmJLNNkGagEAhUAO0D2wA7N+FjmR8GPp80JRFHl5ighQOmkKQa0GBADA7Lpa3w3N0dGi2LNsZizLo6gp51etyDp9U8uHxstiLEsC46HFcfjavdDQU9vBttBO1+p+tUmcFW27tR2R9drfmZa1TMb01EVrpzkMYHH0xtz/BngeWP+T2vnql7RAjoUQ5dqB0SdUsAyPgPsBM+MfEJE+7M7IoA7O5eClB5BCCil4XLeQETgQz9hJCjvPpAgZ+1HVFlVmratWO2OeJqze3sEd3isYB2+ltEFQhCUyhsMPJOH5G1PUcCkVCuy9dEhFutaYVv36nRfX2lXAuwBuTEXBiB2QPp22+ZHPRVczk/+ySBSqWHyrA+xnj9r0R0Rj4yCSlWqQhOMXREmY2EKeLBMkh9uEub1pe/XyaFUSavtCTR1bR8zJkavtwoIMNZESlheHLEeDliOK9bDgnduD7g7LLg5LLg5LjjcrNoUnbyfkxXPy3Qf5PpEnUEwMviWCXKnzUFQfzNdgVLAgwbBanmCrQGZvle6ND2C2VYi7ScH9HlC0/k4LcgzUy6rzjZvuTWgOYWrWa8m7sDZKboDABlY79DCHmQ9zmxMxBfwNLeusPazhb0nA0HSsEk1wPTdEPwcQmBAKlALKhYUEdQaULYDyvm3GfC5GPi56J4fo9Z0hTQKowidYkiiAY0l71iXD3BYCo6xAF/bcHq44OHpjIeHJ9w/nvDwdMHpfMHpsuNifaTANs4CTEYfZEI7wdjWxAYU/f6I0g51v6gQ8cBkQ6oNS4va18/viWh9FdeGbdvxJAyuBdtu4CcEC6SoHbhcLqPmp1Ztpm49ljogh9X8VEYqjB2CskOpby1iixmJVgCse7jNE2kKMJa0IYcHrPEeSypIKaDkCI4BP7tFfPhLOz744IQPP7zgow93fPxRw9Njw2bAcd8q9r3BG7XPIQxnROi90kw5TxOIocidhLuPrY3ZA1Ji5CxYFsJhJRyWgOMh4eaQ8Du+f0E+K+1t3X+TMz9PT0/4nb/zd+LP/bk/hz/5J//kG//+d/7O38FP/MRP4J/9s3+G7/3e78Vf/+t/HX/4D/9h/Nf/+l9xOGh66k//6T+Nr371q/i3//bfopSCP/tn/yx+9Ed/FP/yX/7LT3s601qbVuC8Gg1dwiOo/U3z1jB7A2Nr7kBoBjtXPzs/1xyEQNpoL6lBTiZtm5MqzOSkhZYpauZnpr85JebKFIl0hTUHEMEi2LD0qTahq9aPQWUrRazuJyUc1gMghNu7O1wuZ5zO76LWHa1VRClIKIhSEVGRqKlwQk5GCdB238Eob/0ZHoSSDoDmMfEohFhmh4RssTv/HZjlhYVTNzKBAnIyNZMUR/MxLzyFRrOcatcFFhhgFpSgmZMQ1JB3ZRH7d33tm07Fr+WMJSiA8JnmVyxQx25uGiqBgCim7NYsuMe9cDQMlA2IbTI27TTdO0WXA5kss32pheGcStadhKC0N1V9w+RsGsj0Zzg9zN5j/XeaG3rL5qFHax1ZupPm/00+jNjWLDBe7/Wgmi80HDSnDrlz7eutQQFP0QcqIVj0ODCGRDjUgaSQQXEFpYxq66nGiJayRjtxgdAGRtRnJu1r1BR8NJPcdMoHbAWmFLQmwGSbtXdNQo6pr+XDkrAeFixrQsoa+Q5RT1L7/jQwDPCIN4C0nk+VUZqgWJ1B6/BYMz4OyGg2OG+ap2/9uHLorg91UOHtiXrmesJW/b1+p/R+kkXxzJmCziuBbqq1Vex1x2Xfcd4ueDqd8Pj4hOPxBjfrAVi1VuezOxYAdyDsSIcTbm423N48YTuf0VjrUlpruGxnULmgVEGpOsdjJOQlmoCFAtLGFaUWVS3zwuJqGQ+zH0Sa5ROeBos0KORyvf0GyHgeoNujCnK1Z5E7m9D7IZhAjf8+fOxnN2mAVfuLnsGUxfaDHwr29x/7ORIayOYwoYGS9B4sFASU1eekpMpLYY0IiZCXpBLViZBzsjEZ4FEqdwBE7jH6cAgwlAMI+ZBNJt3VEb03zDjvxoK9NJTCKEWpRhQilsOCNS8qCLRkvLxZcbNmrEs0FcpRk4cwzfU+q/1n6fdFpp/19yE84PueBq59fKnvg369I1s47kt/HyxoabZaiEzY0ulWYvtVUNEFIhPYUcqxBNLolW+CTe9kEBUl0ebMVsNo7+OggRWtP9asVDQKHITBXNDajlITQOO6Zgdoms79qsnvr/tFGNN6XT/EzfEGgCCvv4ScLlhQkIhVEdR4BwgViGcg/SII/yeIV50vrBSvZjQ0Jq2JcWEDrVHSoMLtseGdu1/Euy/u8fL2EQ///QG/8sv3eP/jR7x6fcL944anp4LzuWLbNUuidaB6rmrVwgTaDZyL6P5r+24QAUUFi74uVQq7oRBhKxVpj7pXW51rraL1aUgmKR9AiBCJaC2gFoAjLAjh36uNgUsTlCZdStuVKR1E+PerIpyWDFzOOx7uT/jow3v88n/5CL//d65Ix4D9C4yNGsrGaKVijQVr3LGkDYd4wdOy4atC+Mr7hEslbF8JeP2q4ONXGx4eCy5bQ20w8Qt9kI2cC0H4OQmMZknD9wg9eCM9cJQSIeWAnIO2S8gB65pV3W1Vxcbjqmt8CQkREek+gL5LDQqlT7cxfmrw88M//MP44R/+4bf+m4jg7//9v4+/9tf+Gv7YH/tjAIB//s//Ob74xS/iX//rf40f+ZEfwc/+7M/iJ3/yJ/Ef/+N/xO/5Pb8HAPAP/+E/xB/9o38Uf+/v/T1893d/96c6n75N9IU4/q+4R7cOp45MZ4tpa8A1GJr+yWB9V2/rfxvOgkc3HXBkAzUpZ3OYUv97NlW2ZM/6iB30uKMK8Qi7xmKaMZFVEpLNSFVz5gpa1Ue1ngpEQI4JWA8IIWLbXmDfN2z7Ba0VU/DZgbYBbQO1HSRF64+SRtIQg3Z5jsE2jImr7x6PaV+HKdMjUAdX5WU9shXUcfV0sRh3lgCVFIUViAft49AYLZtcqneiNidSM2JKWWod0GjUI9B4KPgxAMTeeXmaL90nYQMH89zQ8/KfEwHJ5kl3+kk3Gk/hcggGfGhy1K3olKwws/uWijQIsMi5gSXbmD3C1CJGrZTtwyTDkHT6TXAFMu1zQl3y1W5Wd4ZMTtV185N2Xicv+IGCDJfxlqv7OtaWmL+gzfbsDwyQg5++pMQxWOeXB6s96rLz7hw0gIzmRgWa7THQE4yOYNUoCCEhxAUhrUBeEdOCmpVC2vICtIaGDEEGQ6O9KhZBKvVejR9tfGSn0iudMCKvCSlHLGvS31O2oIVmbddFlRLzEhEzIUSBqtRUCFWwVIgox766EhBbMWq1TYyBKqKcfQAs7cr0vHEIMDX60R/p7Zbsah4/O+iTvmECPzPuuv53e5hiGiUgurtgtVeNGaWqLPLlcsHT6YynpyfcPz7gcHPEcnNEXo426X6jim/zsQJ4gZBOON5uuDufsG8XbJsCoNYq9lLQWkVTiQYIktVIataKSG1LbQWl7qpYVht4eog59QSN5MdnO734vtDNhxsbzRxAjN7W3zCBI4xn6vYF6IVZbn6fOdL9FvmaCqGDiu6+yvWMqKcNl6/d22+W8SEHP6KAPhFChj4OBNxE2yMS4qrrJC8J65qQl4h1ScoYAOAMCjI+v8+vHphxQ9qzn7r2lqRrLsWIFGx+TJfKgt5PpTal2KiyYkaO+kgp4uaQcTwkAz/BeqChByrJjNKcQ5ufp5wceuZnBj9X933QTf39fS/3+3W1oAz0iA+MAp5uKP3f4VlnZQ54MFQC0Kh5Us5obsrJkmbCRC3oe3XKQZjAkYwKx0NkIXp2CtBeNAW1XrDHAJZk1+BGIfQrEJ+XAFykyel0XbnS9tub9X/i7uak8ypviPmCRAUpMMILgL4ooL0hhIKQNsTlAxRUVP6/EWTFzgJIMVltBktDE1YhE1PtW0xR88XxI7z74kO8W+7x4f/3Ab/4/it89NE9PvjoAR+/PuP+YcfTU8X53HDZtO9Mm8Cr3hIN1Oo9Y7ubAunzhXQ/F0IQVkVcZxE0BqMiFuprIZLVxTXu4CebAFE0ERThgFq12XzQAkL1q8CobX7o3uHCPW4+eulBE9Sg4Od8vuD+9RO+8Y1XuD0c8P8JhLuXGd//uYCXXwpoXwrYdsGadixhg7QNP7dd8PoXL7i/AKfXwHkTnM7A40PF69cNjyfGpTSlzRkZ3IGPZ4I9s+n2JppqqqoGeiDAqNO2LFIOyIuBniViWSLWw4LVgM/NYcHNYcUhL8ghIXIEfRBA32Or7Tcb/Hyz45d/+Zfx/vvv44d+6If639555x384A/+IH7qp34KP/IjP4Kf+qmfwrvvvtuBDwD80A/9EEII+Omf/mn8iT/xJ9743G3bsG2jdev9/f0br9FDrn5yYzSM0vg7MPaT5+8F0B228duzf5PB+RwUtzhFhzPysujvWaPGCog0G6RRitjVkKaYKnwBBm7aJNOMiSu+gRiCavr0pMCn7ag1I1WtBQog5d/HiJwXlFp0Qy87WBqIGlo52yOh7gHSlK5CMV6paVEIZpi9jwk0PWxRvE51Y0YEaXYGMwCFbRps9SPK13bOfEAzNTBVm6vZ9PZrGlHXxhb54QGCOsdVz0GjHYwQvGlaU2MSFARp3tl5tDoRhIGZ2+Vx1j537J6rm6TzRM3RAAEkQxCCotOCjEMNoyrYhwUo8KM5Oymm1gkzI4HASQEKmzS1DrVC5E658bKL7pDSyBoFp0L5dRlQkjBqY6LRG5MZbbbrZvSCZTZevlh9SgdU/mCo+IMAxMF0sqcV051Ee/j504j+kBlFYlEhDAdBzUAy27NlfTzKF2JGSCsoH1HTiphX1LygplUjhUgApV4L0Uwxrzbth1CbS3D6zdRxWtaI9ZCwLAnrQZ07pacuXW0xJ0LOhMVqqygyiCpUyqBAZIdIUSBgHOzaWMEPA1VrSlGniKO8RabT58mzuHIfZN+Kne08/zw7ZfpZk2Gb76E9ea3BNSiFq4pj1ByFfj8j6ZyMXpcBU6urwL5vOG9nnM9PeHx6xP39PY7HI27v7pBuCygxPlvwA2g26QXSuuHu9gllu4AIOF+esJeC8+WEbb8ghAxKq/akSityitD+s9IdwFI3SGVwUXsktRmXXW0PWS+VPpwujGDBCAuLaCDL7oo6CU6FI3hGdbphZjfNeew3z8Bu58T7fRt7UyBS+XaQRa1DVyzUAM31HrdtG17fl+n93s9LKcfJQGHKhLhGxGKKlwcCRWtGetRMzeGQcVwSDkvGkgIiPNqrmQzCAITdVrl9na7Ho/fJVNhCL/qcdmoxmrWtHa0pGIJCyfbUw7pgXROWg0aTvUt8l5Imo+K4M0vz9yjQcXvfMewMfuzezhh3vicdnL4tBmGf1TMrM/Cxn7sDaQ4liwfZ1I5FUrzjDGxhNvlnGgDIZI3VtluWUqyW1OywLWmr5VP6VS0ASJVYyY0AoD5AB4e+GQBESsOPIXaWCIAebDweTnhhzSgpNoRYEEJFeKchHCyoKxWBCkIitAQEeQWSnwXxbweHVf0T3nswtNRizWrV18kh4rgEvLj9eby8fcQH//EBP/+Nj/H1Dz7Cq9dP+PjVE15/fML9/Y7HU8X5UnHZ2MCPhiL9XtJ077vZE1hGl0HcNCvq8Qu7pw3S+/OUEnCh0s1sCsF6NqloTIoeuDQfgmGVdio0BELPxBZmFFawXwQoTVkDnvlhOwExpkFoDQWE02XHq9eP+MbXX2EJAVIb3vncEd+4z/h/vT7gt7cF+UsB51cVH5w3fOWrG87lgtN+xtMT4+nc8HhmPD0JTmdRMHQC9j3YfNR+gWRNDF0Syn0/D373AKf5k9TX4JjzyTI+eQ0KfJaIw2HB4bh28HN7WHFcMlLIiBKBnUBftzX1SbDgE47PFPy8//77AIAvfvGLV3//4he/2P/t/fffx3d+53den0RKeO+99/prnh9/+2//bfzNv/k33/pvb5oqdIer/2+iSF3Zt0/8ND/GRjJwkH0LCYhS3+hcwtppbktesOQVS/ZMkIsdmPIbReuZobQyAjSK3g0LwAgg0lQvgUzy2TM/VkfQCNxUfae1glYKKBMoJKSQEJQDpdHOWlDrDrEltm9P2LeEfQvYk6CWUQjpSkY+MclD9j4Qg8EGs5lACOYkB8gEgNT9FzWcIqNJatBFrop4rPUaybXwlY/qwKcxW4Gf/2wdlQ38NNauzgHNNh3WVGzXjycADb1AE1qo6oX510FUA0DTrqW0N/2Z++VrJA5ESLarUrBiWpn52bYpsQMf9Fw1mZWgaf5xIhWWyARJpPKlZNEjIlODGZv2PG/Y+EudUtGjdmOD79LTkUwOWzdFJotxsWihshUTq9iTXUuwOWgoRsxoK6cidOWvDoDsfuseK50jHQy86bNuwIFpZHks4xMZRgvUz4ldhjUihIwUVyAfEdMBNR8Q7UGiXS5AodsGV56phVFqRWlVe/kIAKZeS7WuCYc1YzkkHI/amyanBTEtSHG1Z0JKDSnZvEtNe2xIhcgGwQaWHdXAz14NAFWXUCUrCMUkGfusYPN51KYbOIx1+M0OD/J04PSWN5oDJE5F9DVOb/+KYH6Qg9doXPtgN12jj7pmtxJx2Taczhc8PZ3w+PiI27s7nM8nHMuGlBpgjQ8/uyMCeAHEDYebE263DaXu2MpFaW+XCx6f7pGXA5YDLIOo1x2N9sYyMj+6BppKMhtV0ms9dDxoBANsLYsBIOrm0l6vvFB1SDsQMVv+3EN2Z4vMyQQMAD177ZXhkm6nA0N7Z4hmpDXQc/0dl7rj1XkGP/4Z6sSsKeKmJFUAbQmQhHCMgBAoRmU2rCvWQ8bNMeNm0UeOyYRWwvX8cFDtc2ts3v2aXRo42j0J8/VNr++0Zx6sDm8WHs0OL4uu4bxGxOTZch2yGEfW3O2jAzQ/pZmW5nN7hCJGUGFaaBPwmU54ICf91dayjD9NoGfsux34in2jGA0e0m211eOPDI9Y/ZBFLDwj5DWyYN8bPM1vV2RjI6I0KF8HMaoN7XS2zv7wa9OfQ8gIcYHyIwZV0W3aMZ7xwhTPBGbYqQLvWlZlFwRp4FDACSa1DKB9DMSfA9ffAaaMKiq93kpD3XeQqf1EEJaYcFi/grvDCa//1wm/9PEDvv7BK7z/tY9x/3jBw/0F9w8XPDxseHqq2PaGfdeAVOuBUK1DDQZM+30UHytjYETbp4Lu6Qo6DHyYWpwLkThAWqIGxzUgkJANuPkscDBP0kxN0mruqPUMp2d/ugw3v4X21tlBlvm5f8IHKYNYUC4Fn3+6w+Vyi1YbGhj/x6uMX37acV92nPYNp33D037C4wPj/qng8VTx8NhwvhDKOaFuCfuewJKMu+KATsVDIJqtZAOLgDfIdsEXAz9OPzVKoGZ+MpZMWNaEdUlYrTHxzcFqa9d10N4kgi6E8PNGe/vat7IpjuPbQu3tr/7Vv4q//Jf/cv/9/v4ev/W3/tbuXA6/4NkGYpPymWf7TQ559hvBAVAPmkIsKjOoWh34JK0NWLKCn3XJWNKiNQQh9Q7ocer7E7sBxnBUYUDNIgJw1MyurOJOhi4wlSvc0WoGpwI2oKXFYlkpQa2g1g2lblofJA2XC+F8EiA0MAoEbaSsA3X1mRGum9ynqyElpb4xgwPps3Fme68fH0uTUCYhsEnBKmXGaINRjYcW4wU0Dh38MMdrANSUytaM0lYjawo5BBA1KMVLu7OHig50uI6GWgaTOkDyaJhPmY71RDMQfji7i8SNHxBMEpSERjI4EKKpxYhxYQPbcJrMdcD0XeZcStJ+PaKSaNZzQdXSom3gQ2JVP5+7ogy0vmXOLvkcEuoAKkUFPpzU8DNp5CqIRhbJVJikaINQBz1k0UbPPAVrWkasFAo1+OYceqNTqBR2f5DT3q6mltEFB0gMhreUGGrAh7xXllLRKC2gfADlIygfgeUGws0okaLznRvWXFGWhlIbCjc0MclRAz9aZ044HBIOx4z1EHE4ZiyLqzLaI2WjJQpCaEDQJnAsBcI7WHaIbGDeLOujj70o3Y2Z0IRMQtbBK8C47u/zVvP06ez7pzvo2fM3+edAQLSagRiCRqFNTa01hnDBTqSFuqcTHp8e8frhAcfbW7x7PuOdfUM8tt+ky1lAuEM4POHm7ozNsk8AUGvBtl3UfqcFOSvfUwVnoOBENLLcWjU1MutKbvQYL5DyRpXw6LCplHlt3/W1Sfd/ndA0nOIRJhqPZ8cMFL7JfkbkmFnXunySoguA2ipO5dx/d/Dj11NaAmeGajKqjZai1x9CQDCp98OqXPybRR/eKFubZIYe4e6Uysm+Pr/Gsac6OJmufxqDYfdgoCN0JUIyB8tlrdOSVHUwTkX+E2X4KsvZ4Wq/S4O5MEMf/2K7n2OM33JhAuDqXoj/Sd9t95Q6L9iYHo6AaYAxzRsGdXojq913my9iyoPSAbklGvp4+QQR610j4wT72sWudPpQ5ki9nldvwA73jwz8xKzBDNFsqtuqZrL9+YMdS9Ysr5BAvgDIDZvQERAKg1obdHFiNCI0BCS8QsWvIMgPgLgow4AV2IWkGcp1ibi9+QAvb76O5WuP+J+/8oAPPnyNDz54ja9/4zUeTzuennacngqezjtO56r7gNVfMvt4o/t7s78zfEyGly5LMEq7iFHd1G8pTf2KUKyYQW8OJGUEqy0MKSHHRf0hV/0UrXsitrXCZivIg72i1OnmQTN0zRk/VPhCs9MQwrYVPD2e8DEFoDbUy45SNmsSy5AgeJADzkVBz8men7YN9w9Vm5c+7bh/qNh2gpQDpC3gFobMe4+WBWOlaL5Hp7s6Cd3ndUGcoAFMSgBZD6xlCTiuGesacTxEHNaE29sDbm8OuLs94OXNAS9ujzgsC75rUQaG5AXtOxXG8ONgh30rx2cKfr7ru74LAPC1r30NX/rSl/rfv/a1r+F3/a7f1V/z9a9//ep9tVZ89NFH/f3Pj3Vdsa7rJ3zrtWWn+S80vUa8gNAMghV4P99LxOpPOtsAvplMoEcAQKNLIQz5ahU0cHGDaLU+EckiWV5U2E2GRRNkMiPzFXUz7O8JNPG21Rl0QEb9XPvOgJ5qhGV0gtUbWcf1WlVxLoYIMtlIjVyOuhbLvpoxsP+ROwDz+GLeeW2roKvrcAPet38/1ec3cHoE2wzUeQ+2xgjEwZxPzR7FoI3OvN+RRwBzDloU2wJKCUheQ9RkejanfiqI7dkIY+WUneC+qWsDOPRmYbQClCIoNaDsCsxYtPajSZuirjoagXRjmX0dsQEXgjrloW+/GmnyDZjsHrhohNseUvDgEazr7rA2J+yRoMp7SxATaVBjLqS9ivybg0l4koGfEJ2Cpg9VkYN2hTdwouVG1OdmEAUvEQpkkoj2BvI0OYmeuM1fB8w6zSxfpAtAu7fGZMhrOD82Sh2ZdY48Q6mhRX8PpMGJoyjnXWwHIROSIGjvl7youp/KVWtGxzubi23SoIKABlCB6uZtUK3uAkiDiIIerU2YInWMrqrXG+LCnRtMrPprn68D8WfLxP/2CW6z3/2ZbPXG8dzHpE/4Y//R51uYaIxQyptY93FCwXbecTpd8Ph4xvH4hLvbM87nDftesHzi2f5GjwhgAdGKvB6wHA5YDkcs6wHLekDOB5O7JpWF3QtYGsq+ozWt6XEnHAS0YAXmtn+EqCpjBG0zEJLeZ6lVmw1ymwbs2Rp0z53Z5q9n8cUWrr1utq3AmCTz8baMkR9k9pIZgezeh67b1e/hnFmhzov0fx9QAMCgh04Tg6DOcQqp17euOWHJ0VgPyt13aW8HP9eTcFzD6J9k5/Z88vtmdLVu9Ly9f5o6YWTNdU1QKPo+ZwqpYQI+ZGtuAkFsnzmvKc/QXtHgrhyF+VpkYNr++gE1xpX7RcBuO/eiet/P+3vFpaurGZGiDWib1aIVlR8X5t5jSUzuWqY5NgKSxh7BIHI7oB97YeiZUW8uTXQNfgiEuLSpBxJD4gJdX5pZ3N9bcLF+LOKKgY9Ff266x3BlsKmq8659qNpe9bncQ9ojCAfkaHtRAG5vVrz78gXefe8r+Py7v4zbj+7xi//jY3zlw9d49eoR9w9nFTe4aN+vrSjocdVNtvTZoPbJuDZDFs70cPsp7FoecxNcwdyTUeC0TGXuuOSzTivzUWK0OahFtkqp1MmoAHYskl7PY7W4PoTud3VlQVMx9E2ChY19UHApO077BU/njOUhIq0BCIytXrC1R5zLGee641Irzrvg8UlwOgkuZ2DfCKUQpOpAcGOlBPs8c5sVRtAnBhWoItJePTF6C4Ss9bR5QVqiloUsGesSsB4SDkvAYY1Y14SXdwe8vL3Bu3dHvHt7xP/98gb0pQXHzy2onHHiBeVWYczpo0+3n3ym4Od7v/d78V3f9V34d//u33Wwc39/j5/+6Z/GX/gLfwEA8Ht/7+/Fq1ev8DM/8zP43b/7dwMA/v2///dgZvzgD/7gp/tCGYZcpmc8s63d5JjP3gGOv2dynjyi7p+rE94UpuBOgRvN0cMnW7Yn5zweyet7rLkZTbr6vpQ8AtO9jenMaYAbS+x1Y0mw5m/w/VXGapBnoIhMWjkEBWpRz6/saTRYDcFUYYYT5XU5/ruDNZL5HNX8iTmv1mjcrs0B4wRyZDIa7AbYHd4hY+2gTxzsICDY5wXR9Cob6GmiKePYtFFftH4jxVTjSmGU1pBLVX5vbUqVaw2tKpVFMxkWkQxjAjnnvOxQMYM+M/RiFPwolWrfGaUA265F9WIqAoIGlyadpYsDkdGtJiAoatykweoP9I9hXteeESTRc+qfezXhr34mp3yyIIqWemeCqtJFAEFVgBoJEknnHQcWBJPnJBFEsSxU1GaiiaxsPBC0446LOkzZLzh1TUFxnOatqsOY4SdfptLnXOew+z1JERLtQdTXJ8OTN8ZDJgYL6cajaqqQpmqMS15AUVWqIGLy2WSRNqhohCldKXV9iGsQKppoaFO4AGgAV4hUEBUQ/FnvvRdltybgCQA1zODnuVM0OaTQReDmodd4GcCc56I/qTkYn+Zr2j+jhyWeh9/Fs3bP0M5sUCefXpmPZEAWqALtHF61fwUa43K2zM96wLoecXv3iKfTGZet4E7afKmf8ZEBaDZwPRxxOByxrv44A0Fzia02sGxoTNi3HbVWiHDPbKmqlM6z6vuA1ZuluCDEhFoaZNd/baxUyudD2EGERyY8EOeRY7ma9UPX4tc43tbT56rWZM7Wy5uvizRD7cnV9/Mmn2d2TADIs+S6rzjrQakqrtK0HBKWNVsjbnoTD+pFTCeFqwz88xfr/jwAoZ6xdAe2q0eS3Sfy/U1/1n8PPfPTQd5V9mdcs2d9gInpLdOdGpvaZMONYub3VCaQM4/1FVjyz7VvZ+qf218rDHBTsaKm9C+02kEPl6aNZ5u3x3BZZZkUUi2zaVkGtn2XTW3Ng3K9bs2zPd6jyKlaNE1wEHKpaGuz7K9+P4hQqkbjL+cFp4ejXgurzQweBTL6sVNLuYk26qwZpVTUUlHLBcwfI+C3gqI60wsiXr5Y8N7n/ie+8N4v4vbrH+PnfuEVfuUbH+ODjx/w4YcPePX6jMenTfv4bEp1K2USQvK5DC+glckeS/e9hh8Iq7UxcCPWjkSmWmSbCMxNM0qNwIG7OJODlBiS0jCD+YB2T0z5qFPKuM8p9H2I2/hdXZZwJbRCBPWRIKhSsbeKS92x7AH35wh6EEhk7FzwcMkofMHWTtjaBTs3bIW1xucCnC+E7UIojYAKA9TN7ttYj0SwEk73xAXRqIMxEXJSJlKKqsZ4PB5wOK44HBYcjwesBnhU0jpiWSPeubvBixc3+MLnbvADX7hB/tItNlnwUckoZcG2vYd6r31+Hl8FAP8PvtXjU4Ofx8dH/MIv/EL//Zd/+Zfxn//zf8Z7772H7/me78Ff+kt/CX/rb/0tfPnLX+5S19/93d/dewH9jt/xO/BH/sgfwZ//838e//gf/2OUUvBjP/Zj+JEf+ZFPrfSmxzUA8p8ZIzPiRXlXKGn8ML1r+kgiPN9XBGPR+4TzzE9OKmywTJkfLcJzQxswmwt4ZIl8M7wm15F9v7/e+6708xRvpqcLVJ2h2VhOExIGgKLXJakoQ4xZo2HBozl9i+7GmseVTyM9hqxznINGGXXoRtbHr1M/4HrT8MiTZoUn7vtE1ejJpDA7ZgbMHPQIOg0ghoAYA6o1xqo1IqWK1AglEVJVEYRaGa0SWmTUXpH77AH0PhMKfp7NFBtrYUYtQN0EexFsO2kvGeO4qWQla2fv6E6FOg1iY8xNx4PZnFUWq0eRMW6E3hjMB4esoEa8dklgG6dn16ivC3X0LWMDAYJnvAQtCApZ9gYqwMAiVn8joOoARoFPgoKd1IBEgtRcFGLUJzltxalrmnXSezh8anMIneZh19GBT/e0LcUQExC1qJaJ4E0IzWXsfHdV3yGribM+jRxMFWpBoogVVc/Fz0nIaioaJLTpWSBQqmgvHBY2ifnWpeYJTYt4qRndkk1gYc78UC9QVRVv6aLILLp3EE8OaZjGqmf0MLKhluUi9mwruoCCC490RBTGPHEvr9sHBFxxZSYHh2gIbXiWjhC7eo8DoAajsbSGVgqkNmyXDZfTBU/LCXl5wt3jSftV7MXuO36TjgRgAYJme5bDAetywGKPxjpfOkWvCPa9aARdHOQEwPp0MTTDS6Rzj1JCMuoFhQoWbXZIVeePj6qPX09iiI6fO8cOfNpIq0zv1Xv3Blj4hGMyC33vcDtA/g/TgBNm8DOB5en/Bgk6ghYJEJ6AwiRU0wHQknE4LlhvFqyHFcuyWNalb0Z9p3Ew0b/PwRphzL9pSKhf5wiczec6Ppswmn9bQ2kXp6Awzv/Z/fG/90zq2IowfxPESGNuosmYJUZHcqvEHnTqIOnZSMv49OcEe/23aV+0hqUw0GOa/UCpmvEpFa3UrkjookD+c6dzwmm6rYMeFgZ32ju6Gt4AP7E/ezDSIoUAVEZ+sbS2CJCyXk0tFwBAuWRcntRJJa6gRlrb0hhk4jrSNCgpHMBVUFpFLc2ClBUiv4oQE0L8blAiUEy4u/tVvPPur+Dug1f42Z/7EL/09Q/xwYcP+Pj+hI8/1szP42lH2Rr2oo9itZ+qlOazxSGOsV2mYAT3u65hEG1fINa3zYQHWIO5zUAPRNBEKftsjVB7fY54AMV8Q7vnYkIUQkZ/c3aNUQc9s+RtPXTqBFVTnMz2TC9i0lrpwhV7KzjvAeESgMho1LC3HU/njCo7dt5QeUOVho0Fl02bgl92wr6R3RsxqX8DQJq00rGxueMCQzpo6mPEBGsZ4WqpB9wcbnB3e8Tt3S3ubm9U3n4JWBbCelAa3MsXt/iB77/FO5+7BaVbfHh/h237TuzbOyg7Y99foJpO0NPDR/g0x6cGP//pP/0n/ME/+Af7716L82f+zJ/BP/2n/xR/5a/8FTw9PeFHf/RH8erVK/z+3//78ZM/+ZO9xw8A/It/8S/wYz/2Y/hDf+gPwZuc/sRP/MSnPRU7rjeMjm/o+jWT7bEoG/Xfe6BMoIuBpo/1NwZzIhmdm0sz+MkZa16Qe/bHFd5mQwuL6PmH83T64dlJ+4alz7o0PRV+jefM7RvRIbPYw5i7BGXsmSqtBYpWJOrRnAEJO0VG3jDJ03c/25X7rjt9kA+i+Fl6xEKmjIdtt54WdgDkBYa9cNg/UClUHvlwIbLGrMIJKahmfrWGX5mQa8CeFQyV2lALW9drRiysWZZp2/eC5GDgp+40ZedgymNKIWMG6s7YN8a2My67KnuZn45gTC34PHDueVQp8E5/NMAh3ptI0HnFQvCeqhMw1NQ4aVFMl6i+ulF9HouBHxUPSFDgHIMgREGLghq0d0SCGvFm4CdUAVVGACNGQgKZiPQQgkikVLoE6fTOWaRhyOPhWsGsOwrmjNs682cFNAESkhY85QSJqVcus10b+1bl4AehZ35qBWrRsdKGw4KQM0IyMQYhlSxlAoRRpaDyjsranK9ZB20WQSMZqoO1ahbRnrUpGyMFQYxKw2QeoKe1kfVpMh483aJ5ll/P+PHzc9qbr9df6/hmtDf/Dp9ifarT9A/za2yj1QzJ4LZ777G6V4CAy/mCp3xGiAsorLh7+YSn0wWXyw5urLTC35QjADiAcERcNfuzHG6wrkfk9QiU0SiwtqqSt9uGqii5i4IEUjEIjaAqXRMxIuaMtKxY1yMoFDQJqE2s1xPhqrFVP+wGswYeYM67N3AGDxtEYQyMmtQJFMyfKHjr0cEDA8EAMs+zhDQrG6d0MdsG4NufO8JXpy/2Zv8QjJrXHKMyINYF63HF4ajZvnVZkWy9djjjiKCvf/19/vdZypue/aBRcvQx9A1nfPY1GBo/z3/D+JnGe6mfybjsGbTYbmvtHXzfGtln36Tnve2NmyXzbuP/Ng12/1Lu+7pIU8AzAR8pDVIrpBTwXsGlotVqNbM8shLclIZttY5KyfafGQ3VVGBtTGxta51PVMq8B0rDVPQJBZVLPWggwUAFN62rLbuCn8vTgtO9Zn4CF4QmCBIRGiE0WDbBghGiNXa1FRQuqvrKSi/O8b8jxfeR1+9DXiJevvwabp5e4b/9wkf4hfe/ga/+6gf46PUT7h83PDxsuH+64PFxQy2C2pr2VqvafqADVfF5Hux+GRVQrkxfvy9OOeuUQs+yyWCxwLNtwXvyOCWOgODUfK3L1pnQDGaRBlJEGS7Olh8N5GFgFlPMwMBGgAF96oZchBXMtIJYAAoCOTEaF2xlx+mckdcEQUNFQ5UKDjpOpTD2CpQClEpgV9mwQRCuIITOQumAmdR/Ctacj0JAjqQU2JSwpBXH9Yi72zu8fPEC777zAu+8fGHiQgHLYtTzNeD7vvcG3/HFO9y/fhevP/wyXt8fsF+0oWotDfvlAxRDP48fv8anOT41+PkDf+APvDXV7gcR4cd//Mfx4z/+45/4mvfee+/X1dD0zeOTLP/1Bv/MrLzxd4/uTPvAtPvrs9oBFyoIE4hIRnGb6n2sP0HsBYIY4OTq3GYU8/xadEJB1MlFxxRydZ5Dic4NpZNBHQQNM+5RsK7J7youfoaikXTup6Nf6qIRDoZgMSoAnZc6QOUYTwcnb/vdF7MaZvToU88CwXjXvoHQdC/me0Pdj8CQ45Tud+jlaaGKdJ9EqVmV0FP7Hqnr12BzK060t2YbtuMyLXZkSAO2nbFtDZfScN40xZ2SqqnFZFxed2LIM3Xw9jiYedjdyxDpxZIz9ckdgxHpgWUIxApT7fodNE7etfQ5YbK2QSAkUFE5MYnw0XjVVdb8EcmEF4SQBMhi9DdWbJJEhXxiQBcoCJO9GFhszJX57yOrMZaB30jx7BDINgXtkg2THuYOqIcMencCKgNJo1MpElIG0kJdWIGErF6Kejq/QUDNo6SMBi0kbWJ9qIoCn1qUXhkDkBJUoU8ISNE2Kb/3ek8Cq0oguV3p69PIrW9cvjmZnq3BdRZZ7DUOJnuNhxmbTrnpY+lzCM++j549Pvm4eiVNgEwEaKz9LIRRtoLL5YKYFlDIeHx4xOPjCU9PZ2yXC465gT5zuWs/VgA3oHiL9XDG4fiEw/EWx8sFhA0iRYFubahlR6utq/+5jQ9RhVxCZJW2jQnBgE+2WiKhiFIZIVUgxDd3pavhVOdqOLceSXWJXD0CD6Ci93b8PB/P9+I3ev/MmeJn9zQGwhJ97INlMtwGstaqktfGqMx1yAFh0d4qyWp6UtQ9L/ojBYSk1MBotTbRaW8wiNL3sEEImzNUPq+ej+N4W4DDpqsx6N/h34Tx0/OhmcZsXhr+Pplf+WxNiijQmfc29n2NmwnyKA1s/lqvlhmn7GvzuX9ge4uoPYNT1VqzWosKLtypblyKBWM08+PCQGzn0HgCPFzRxB+tg6AmdewnPh7kmZ/cVfTIRQ8oWhbNVV7dopE5xIS2q2MqLYCrXX1tkBYhHCE1Qlqc2mXYWHrWymlwbPW9oSKnhkP+r1gOhLubezw9nfD114949fEjPvzoAa/uz3g6Fzw+bXg6VWwXyx6xNZZuE5CQcc+fH36Lmvs8tm+67+Kt8bxix+l+Yz0b4CG7D5F7sIM7w2Hs+bMHAHE6nQkiGFiTK9BjpiUQIlx1MlzVLPt3NDRUCShcEApUREEaKhfkLSktD4wG9QeqqIpuadqWgRv1fnTqP2htGjlVsk8Y/U4VBLLAewRyDto6ImesS8bNzQEvX97ic+++wHufexfvfe5d3BwzPrdGvPfdBF4ChCJevjziw49+Cx5efw4PDzd4fHzCvhfUXZWN61Y0YAWg7vsb9/CbHd8Wam+feFxZR7p6evsxwyB59rv9dXb0u+EnU3MzAQOTrF6XRcUYlgXrsmDJ2SStwygcvIohXZ/qm+f2CX+fNsorFAGxVGnTh/NG/aFTub/e4+O+YfjC1e3Y0/SAQwHy5p8EwPv6PAMfcz8KsYUq8JTyAC990fPods9NpoiGOpajDsjfp8BoVpjx7/dh0SHS1zY3QDL4zL6pUlDaV/SUhIS+6ek4mNGaRj+lCIimf4PfIxajP2lDudaArTRcdsZWGOddryUl0uxPAlKF9sxgRuKILIJk4EbYKBQwhEFah+MbUYikUq1xelhDVYn6rEBHaXAhGjUL0Mahdv9UKpUhVsdgptzGmjvYIpkAkBmyGEy0IFw/XD1p2D0ba9HzCSKTYpP0uh6IZkDInAalqA6+MsEwkKCn+1EBgVLKvMg3hAqEihZ2sD1a2C0bs4PrDm4FzBWhNVWQg97+RHYqXsDatJCz8I7adtRW0Fjf25o21aumNFiZ0YopDlaAK4FSADiARAMMKmdv89gyWUp3IyRRxbcmw0LEYLLPkwPX6bI0omqYfna/mknnM4wz7t1k9KONGud0hMnT80AIvCaRaIrg0UjxzF92lQXiKRPFpsxnmWoBWq3Ytx0hniEIeP36Hh9//AoffvQRXr36EMvNu0jxptuTz/ZIAO5A2LHe7HhRtt7vLMQzhM5oVbBJAVeGx1hCtGbVWVAlWA+vCI6MFBccjjdYjzf6vN5AEFBKQ9wqKGx6n23sqNcSamDpmlzshzz7ffy7mntBsEHXUgobq74PPH/XGEthxicdOUS8WPyzTGvQ7DBDsISIQ4pYUkbKCXFNiO+sWN9ZcXhxwPH2gLubI26WRXvrhHGOKiRTUGtCCAEsETPFbI5vzFegpt2uojtV44XjR9/TrseO+rgZgLEP0OCj7x3P9337vQfZev6tf5oO8/Wd06yuCudU1uxKbQpAai2oZTdlUVs+U51RP98rUCzXP4tnFcz+sQUVmmdYBWKNd7XVRRsZHnHQU5WGaj5Ck3oFhAQNwvoMab1epY8ikQGehkZaOwWjEXrWR4tGtfWAKmI2xKiU1laVAppzw7p4H7NmlxchnJW25KI3vUefOtxa66uZeSJtiZETsC4Nh6PgQBe8+pUd53PF+VxxOTdsF8a2mbqmsT8qqxiL0tRaD0ppQNnV3QAnuQ1PyeSmxQMN3FUtB51wnn9O+RosHQ/KeZZZlXcL9rJrLz9rjieW/WEu0B5xBlZbs5506tf43tiDCC7EQbCegDrhZLLlpgOi2SASzUhBs0IQq0cFq82GAj5vIzIAV7iaonS1jHzUfA9XQSoKSndb14ybm4TjuuD2uOLliwO+8IVbfOFzL/Ad3/Euvv+3v4cX776Lumc0Cbjs72C7fAGvvtKw7xHbRbTfZwVY1DkKKSLJoj2RAMTLEZ/m+LYGPx1tTn8R+9ObUELUIfQicn/RdPOuYhfmCARLI2odj9HZLNOzrgsWAz7rlcCBRsxo+vjZqE9/UIdw/GH8JM8N4TCOM4BRpRD/nQ0IcY8auXQrHFiIRx/QAQobUHB+srvFvsF07qmriz2/BkxAxZ49kgP7rhEJQY/KqwKKGXejEikok6vP04PHl16BnzGm3mi1S2Vzs2zSBIDMmRchIPkinWRNn22nKemGXjYvQpZpc7eeLU2wFQU+uz03Ecv6oD9XZiQRZFYzl6CCEmQgkaw4kCzNQmY8QjSBgUiIzhOOYTimQaleCpqoZzK6GEYTc7wN0CIYr7irU6BnUXA9BxwoCJmqm6sWdhBGw2n26UoTCLqa2XbXSA11MCwfYKCb0EVBunG3z1RagZ4dB6+tqZBQgVDQQgWHghY2NMrqCNQdrRYFP62CQu0OlDeXY1awWw2M16qUAKW9Fe2dxdU2LgM+rQ2Z9f6wotOo1VABGTG4eb3K52ktkgQ01uc+1yh1ZSEdLOrnCo/AOjCawI9AM1hitXZsGdzgdtAdwO6AoYMo30l9u3ZJlvEXp+PSePZlOPW96KBHXN3PNv7WULYdIgG1Aq9ePeDjV/f46KNX+MaHH+Lu3Xfx4gVAOOCzb3gKqPDBCwA7jjcbXpSCUgqEI2oV7JcCgCxoo1SdSNY0MQsaHPgkcBSktGA9HnE4GAA63IAZ2LaCkC6djgn4UnDa8bwfzNl6E3ZxF8wmgzvbYz/zXWKq4cP4ux90ZTP9s+SN1wEKfm5y6q/ptlLUfuUYdE/LGfGQEG8y8t2C5WbF8bji7uaAu8MBa85IKSGYBr+I0p5abaixgAqBo7cXCJO89LgKuzjM1LNRN3D1NF35m6Bx3m+NjXP9j74gfO4aKBrrRPq4j/swQVEZgKiJ915RdcNqffTKvqFcCvbLjlZal+6OUanOQ1h1WotAD0ABAtgeBs9cm/M7ZwrhDrj1xOPWbO+rA/iwgR2uYAwQxAZ42LLagqrOd58HTsKCioNQAJECH838qHJeV1elhBgXpFJNdEgzXh38xIo175bVUWdbbeACrhEUmz4CgZLS70KJCBLQJABN540ynxvWhXGzNoRU8D+fdpwvBZet4bIxLptS0MvORneTHrTyTJer+WmgypGB+RxTiw7PhPZAwxTAHeyFAY570Ag2AQXq35C+R+dJRakFe9qt56EzdUx4Qgz8tAIR23u6zL5+tApRUQdAnRURAFAwgSDbmyNMstx9Cw2MM5R2DVO+awJU8Z+dRWG+Evtaoi6I05eLbaoMq0M3RiRZXVNKEcsh43iz4O4m4+XdgnfeWfH5z9/gC194ge/78kusd9+NDz/+PpxPjNN517rQ8wdam8kRQIJwgEgAxOZeXDSIaWs1PX2SIvTbj29r8APgGfgZ9o3mP8x/sR91ko+Norv13dD6pmWLzvnMBnSWRYHPYmk8r/MZNAFD27P1lemUgAGdry9hOt9p0QHomZ/JlfLoBCbgI9yGnOQVELKFyGOj65kXt7vwaMc4Yd8grgbo+RmLvXOw7TpAuwJFnY50rZbSAYvMRmVscc9gZB+fPlL9O9iiXjJ91ig4IS/AgxoQJuqS0rOD+ib4gWZpxLX2BcUNaxtRpr0qAGJcg5+UgMpaK1NFG5FlwHo9wWpkTCktDKUxitSBT+jZH80scm9IaXz6oKCHokb+vV7MB1OYh6FVyDGti2mMLAMUYCDFnLdg5xtMvVAzP6M2wN0ZMofO8PLA+dO8H06Fn4VFGf3Z1pFPLjFqpIJEEyII1RSPClotaHEH13Sd+Wme+SkIrKptBHPWw3AMG2u/h9I08tb6wxyI2joAqmU019Xor/KhJQRAEiArAi2IlAde8BtBsOJ443Zz6GMRQzZnd8zxkYmJnfZ2xQp8i8HrZWHTUrlSHyPdJDVT6I5o98h850JXwOp3dnymg9juzAs6CBrPGpkuUlAqcCmM5fUDPv74NT786BU++PBDvHj3HYREuDm+QMAdfnO2pAMI7yDmHXd3VWkTRbBtFadw0auxjZ4I2kcqRqQMZBJwFEgUSBKktGI53mA93CiF7nCDWgXptCOkBAoR7FI7HahOzrz0OHMfz67EaMewPzJe1H8cDtDVS/qvb4Icz4o/P2KKWNY8XtOUKuUOno5BRDwkhGNCuM1IdwuW44LjccXNuuJmWbBmpb0Fa4ApDLCpapagUsfMo7ZU99Tw5tY3gx8PCtn8fm79+5XSbK0HZHcwOfZ1uhpO79ZwPZD+Gg+V+T70BkyDwNZ+s1qSumPfNuyXC/bzju2043LZUWpR+mDSfkdKDYRSlcJY3wp4DIjMoIfZRDn03rhN7WNnTipz6/t+p7ZxBTdtfu4gh7vQgZGcrJ7RwU+bVOG8aSe8xgdmG4LJhVPqoChQRgw7clgRY0OqKvfe+/ykijVp5qcwUAtBJIJbRGsZgSpiKrp3Zf2aJgGBA6jp9yr4ESxJs0jHtSB8ZcN523HaKs6XisulYduaNTD1htZOVx5jo5lwlX4PFMc8sgEeeiTOzhAoNWAOrMrwHx0Y2O5CPVDsfs/oHVZbxd52xKZZreG/GVtHKsTunYhl7uoAXGqtybCVfWewcGUwIOR16Z55DmbzLbCqtDdSqjeJNdwmq4Wiq5IDLfPxvX0CPnC7NmynK855cDRGIEVVfLw5Zty9WPDOOws+97kVX/iOW3zf97/AcvgS3v/V34JXr1/j8emEp9MZj09POJ02hJiR0wHLcoucjliWIyIFU3FUJpbvhyn/7wR+ngGfN//9+R9mL0He+F0NGoOiptXInA/lLCekqFS3g1HdljxngpQWN1Et3woTPhk/yLNXPd/VpDuxHoGAgRLP+PQsD3wR8ZXj77/PoMe5rz3NKw41rsmlNG0eMo/ZM1zm4gMs499nLXw16JYGZq/NcPCjxrcDkCvwo2c1gNAYI+rnMqWiJ/lJvw7PrATCiIx0B/h6VviRkkaj9116BqVU6SBnr6OJZbEsQCnK6U1JjPamPyeOWCDIAnAg1KBNRmPQiFYyMEFBgU/oYgnPaW8uPaqfMyhMZPZ7gAi/OSKi6W7SIkQjncGLPD1L6DU0ZOPVhQuC9/PR7FOXb/cElN2I2c8PsPGepnWnSfp+zwZ8ALgUuNlpy1x4JNkcEdbGolIrOEREp73RjhYymHY02kyIYAdXjaBxq5BY36C9sc1zp7Lt1QuDdQPq4Kcpza26WEYzEQMrSmUmcFQaB2FBwAGRDhp1I91wHFuwkIIeVjqQO1cpZNQJajjtTCl06NTGyShM819hj0Cs6JrgvZMQxr0YAEd/duUrr+sYgRt3dGwCzDd6Mm5KdRt1jTqjNLjQRCO/XHcw9B7l5YBXH7/GRx9+jG984yPcvHyJkAO+8HnB7SGBcIfP/ggAbkHYkdeKly8Kyl5xPl8QQwIxaU0Ym2MRA3KK0CwjaawgA9IIOR9wsIzPwUDQVirSekFIGXAFx047QR9bEF/dlreHW65urdlBl1yHRmD7sn57RudbHpUlIr9Qh0GYIXWqKWFGyBFpjQiHhHCTEG8zltuMw412W79dVxysqWlMWuOq81spPlSanacCqRiGwE7v+2Mg8cp+0Pjbs+TP9Mu08QAdEQTxN3lkfACo/iXdUzNwNAGJkbWzvWsCQfOeI4Ku9lWM2nk5nXE5bTg/mcLhZcNWdivy1r5hOWn9U4yaYdRsvp4Ls2ZvxJ1rz+Y0z+Zwz7L3ego7mZnt4aIjbLTd1qzXnDBYKlT6QpXeGA5+PGhoGRKemRihX7N4UMTAjwOhQBkxLsixmKJqAxH1zI8DFgCgRpCQNKPDEbWqYiCBtK4nAZQYkQNamzLe5LS3hsNScDzu+PmnDU/nHZdzuaa97WJ99wS1itVrGvXPOtkRNGM1QAu0Psd9oV7N48FjZ87wta/xLLIQHAVA3TQOzhZx2pvSIksJoEgQKKgS89vAlp1ruhdJVWEmlbc2SjpNgMcDLURahxaCtoEg6v2Z3IQjAhJYabm297Gw1vQ0MlXSoTTs015/Dldm6tqXnSyRz01rapqWjHVNON4a+PncAe99/ogf+IEbHI93+NWvfj9+9Wuv8fHHH+H+4REPT094eHzAw9MJh8MNbm/ewd0Lwd1NBMIRS0oIMSPEBSm+Qoo6r1IaDZu/lePbGvy8zexfbSNuF+nKrr1xaJYnGIVHexaklJCtzifHZLU9auy1xmcdjUxN5jOGGRFfOyZv/vKWcxfA5Wr9nD2boViC7XVeCCmGuufHcP612ZlGydnkeNWY2sKaQII7yG76PQLmB18tcAc9vkFMmMwbQWIAK9gm7YBnGPehjd8swsXcjOBG47P9TGTe6j8B/MikvOLGW1weEs8mje6Iz+fFDD375msOLIBel+P/qVzxRB/s5tPOncQkhgXsamHCCExogdT5IrL3OgjwKJTv5e5AeZaHhqSkO8ni73NHm6fMg0BctYDY6DnX0S7/3U2qS/anqOcYQb1ju3dMj90/lq7uFomsRmgIJPjAUugzbCBlcbQ81o/YnPMx1PHVzcnTi9TBmmcQffMeXHe2aOiIilphMvq2Zm6A1vQ0DxyQPig0kxLlDgYJDqBdbEMH2XHofP6DF039Xuimq1E6YukR6OBZ4mlC9ttnwZgu6vFMucu/dG5MqY6K318HVOggZqbQ+fl5xrtveG/YrLcYMenxxw5aNVbsAQ5VzavScDqfcX9/j48+/hgvvvENLMeD9gaDIHxHwHFJUArcZ31EACtAKn3t9nxdFyzrgrwkzdyhAiA0GEU6BQRRRaMoETEtWJYVadHeNWqXZhVLwLPsYwOCXSMm+/MtgBb7GN8L4D9P731bRudb+mwAlALCwaiGLYADa4Y1Eagppz6sCnzCTUa6XZCWbHWvsbMi9Dw0EwpzFKVp/7SaqgpHpGA2I3SZ3zdlrQc2B5xC9Pyk5zDVeO5rpAMnpx/5OdI0z/WG2G/959CNpX/ym7v4nKMrtaHUgrJv2C8bLid1wretYCsVe6nYS7M5EazZZbOm5xgBpC5d6nu312FMYgVN+09p/9PQa2ACfL5ZoJNlyvxoxru2BoaCHq3vGX19GBPVHPNermPnyrh9bttNIkADOkbhrgujVkFNGiAKRcFPrZb5iRVrsoL0HCELQRYVQRCOiCshHYC0AumofdaCtfEwLidyZCwrY7VHTg2lNOxbxbapAti2F2x7QSkVpVbUqgGsNme6IL0voZ79uO8z9JmDEz0wbL6MB6YCAoR5UOnhdXlD1MjXh/dXqq2itIJQAwJDa35Y9FwMoDkYhrAGXc22xxCBTCqYEJTiLDAxICGr67HfCUghIHnA0urRO2iG7bHOYPC9kd0Xne71vApm83LFK+2bnbZVSRHZmh0fDhm3txm3dxkvXi5498sZ734u4eMPIk6PgvNTwPkUcHkCzk+M02PF6amAa0GQghQLIhWE2MC5QVqAJAbiEZz0HGr7dPvGtzX4gQzHwTeK2SSOGM6bRrS/llyqM/ToVDYxg5wylpyxpCFosK4LlmziBimaKlAYn0/oUr6/jguaQIVFnCxrMahgg/crkME9nR5wx9+5vk0nUfNH21GrRoS6c/jWc55hAKZzm34G7FxMlGzyZTvljc249kxPG1zlN8DPlPmZ75PoxuMgzMdn3pb6OF2NCfceOmI0O3RQhil6Ojnl8x2xYrrl0G0wqKqXL4EgRaPD1MwYWrMWBpAzmb69qovFHJByQEzu6Nq5mOFSaWYznM5oI40iB3I1F30MWk0wZRdN4atz5GCW4MR3IQECA5G1jwwzXMJNgn0nLNsDE3ewWlYWTbQnAnIKVgsQVNCBMNH2JjU4uv63np0yr1oEILvv2segM8y76pQHAkRcTQdGLVMUq7Q86hEv5zBrRrPnP+E9LBoaWLQZZ9WhUC64x0EDQwIbDYl7UZJM90IDJFEVgzBkSZmhmb6okqxNCIX1Nf5fcAAjHhG/NkreH2a2YU5hY3zrFTGhzxlYbyoCZhBETmIZFN3+CK4GGSziGkzlcqrrmgGQLU4eRkG/Yqpx8TXYmLGfNzzcP+CjDz5EPqyqKiQFte0IoeGL3wms8TtBWL7Fq/00RwQhIkRtdHs4rDjeHHF3uUHZCrZSEELRvj20W9YmgSlioYRGCYESQsgIFHTu7hv2fUPdtUFqa1Od4RvBluthGyDpsz9+zS1IAEqEcHTwI6AESE2Q0sCBEJaEcJsQbxekFxn5LiMtQ9hARKxxowYdKsGYEiM7cUWTtay1OvxTbUQPjhhViKasNdnJ+tOkiob+Epnmr89h6Dx2gEZGFnI1LHIBhlHzESYgZJ/aIwATxOpfXMqOfd+xnS+4nDZczkUplU3tDFnzV7LAVmWBVB2n1GhQniOZmI4+XOS/9+QKGjCBjP1Oev8pTAE/a3AqFdWaoLamNT/d6e/F9ZN773urVsNrcAaAkEq7Uz8jbbwp1MMcqo6JoL3zWFkRMapwARFht8xPShVL3nUcOWoGnpUCmFdBXCrioSKtBelQEDNjzwUpZeRcsMeCGAJubhqOR8bxIPjg68Dre8FlZ1z2gsu+47Jt2PeL9ghqjOogsAv9qPqaN03TUWwgEwbxGuTOktEwSJ+LIRDAqowY3O8jB4cqzERwsIIrAMQW/K2tolQCgjdQbcMvkmYzTGxp6HwnsqCjCedg0b2lse13MB8CbvN1Ni0xYIkJh5ixxqTqjhZAYaCLLXXfzddjj629Ldjl/2MMB5z7P5JlNlUULOFwXHFzu+Dm9oAXLw545zsO+L53F9QTsJ93SP0VRP4yMsSqZQkLMRYSJD5AakLdBVtoIFxQM2OLrGA4LUhWW3s+fzo48+0NfnBt5Ef9DsbzhFznLIU6IWQTixBMpjOnhCV5bc+Cw7L2n72Bm6q6JWtShange97MPglMvHEFV7Z9fr9HE7uTbE47iwMfpUMIv5n9EdEIeGwNDFOtalbAXY0H3Aq8I/MAEtIRv34vDeBl5+qCCQMI+Xl55MDA0HReXVyhZ36uH1fg5w0gO0VW/T7K/K/jXAYAkv435jF+7JQTGefeB76Dijfn1LIamUwAFAUMbE4mE5lutj6zRVbiMoBPytTV34IXH0IBihZEqj0mAM16+6jggHF7Cb2oUXrFrG7u4vLlagI78HHni6AbGQVRx7tz6sQyQdT3dLXlGnVTYETalwhKvYoewU0ByelvDnoM+Djg0cwPDcoODYdHI05u5ody31gDZpBtg3ZZD4gGF9iyDQ5+PPrlRE/GUBH06OYs9NEEKAJUWJM6stcFpY945oKgmyFZAMWjZi36fCd7ACEKKDQIVTBrc1OGgQcEsIEImoDC9Uw3Wdie+5xvilimb8zrK3PRp605evOuS+iFQs+C2z2jFNxZfA6GpnsGKKhx99Cd0d6wE541HDQ6GMWVrUXJvu94fHhAWhdQTihcu7DHuias64Lv+NyKQO/8JgCgACCBQkJeMpZ1xeFwwPF4g/22IGy7QmoyWdfASGEBhwyJGRwWiGhkg5l6gfm+F5QyFLdUjWvYa5WEhfkHnrfx+zi97psc7kxJXyRve4288Z5vdlAkhFXBjzS2Rds0elwI4RARjhnxNiMdM9JhQYxpgB+2Wgbove3YWtDtm5uWQAZ+iEZzxz6t5hMdo6MZr7FO+l5o6Gdk5dGBu4Kt8dz/5sDem45bs04H+GS0K3rWjPVatoWuFlApu2Z8njZs5x3bprLpzfq0BdIaH7Vluu81VtvawggWBVPkjOQ0Sf8aBUCDvuxF+Rb0dfvGnulxhofLXBv1zUWQALgldSujSzjAJYF600/PKgV359XWBYdpzvCw1zcmlAqUyAiVgaBhn1L0e2OsSEnrv4hVRCkwa03IIkhrRTpUxENDXhmUGClWpFixp4wYKmKIuLlhHI965h99oCqsZWvY94q9FJSyodRdwU818ONKuH7FttF6bbNntwADP+AewPC5R2RABHaPhDTLFhXk6niTBhjtHgVLn/Q9GWT3Cihd4c7pjtJ7LkUMEaFAhAgVyQjBBJIsGFdF44aqZKfrvQcE7d6mEJFDwhIilpCwhKyNTyEKlOEqj16qoGDW9B9s6yF3pm0EZj9bIAztbwZoAJioZ33Uzmqg6eZ2wd3LFV/4PxccKeHpCdgvBVLuEfgJSd5BAiNTQ8KOBQUBCWgJdSNsaBApKEGQoiBFRoqs2TAA5/P/RlLXwxjOjvK0kZA5GobM3+iB0COVagRTSqND9brisGgzpsO6WqYndapbNC7l7HwD1zGi58cbKfyrU5HpZ7sSmbbKnrG4fris85z1UcpXs6K5onr0PfOz66NY5qc1S7MbALJIl2avCKM4fQY6M3CQK9DjvQ6k/86WRvVan0mKur1Z78PN087Xo9r7ANj4sDtbE1jszzKPl/0LPztvGBDyceuOIl3dKEv8YDkY1UmgvNloVDWyuptI6ruazi8DyAshLYSc9bnX7ChuGecKcyR8z+UhRaA0B09jU+fyRgM/sIJTCorG2KGE3oA+LEKiWQ1YQW3zzA+6EYbR7XzLj6TXCQQIqeiCZ3008xORwgA+yTdzmkUcaBToW30JyO4fNVRqCFVPt9n5ijsLE/gxV9GioDLGxhwS75ek2Z/Rgfuqn5RwV7Sx/muo0gkhYKMGkoGeQIJoN8ivJVqtFjOpWiGoz3+NXDM088OQWqFbV0RA0iJNIoSpripYJFaPOl2tz2b/b1aksnk7v5J0k5ppkICCCiGASd6wP+qYDoDT632sQLZH0slt54ScpmbQ0rOY46t9vLxPlTQGV8F+ueDx/gEMYK8F908PaNJAQbAsEesh43BzwMtDAOEdfLZblEryghT8HNYVN8cjyq62kGKC00orA1QZyMrFobQA6YDaCHWv2mivNpS9omwbSlHHV3n6ngmbxtrulfSbNv69W643wAr1v3f/91sASZ+Ijp5/eiKEowGZRirqUAFJQEgB4caAz01GPmYsa0bKVq+Dkc243pe4sxIgau/dmiv4caEU6uPQXztWuVFGjTEwfb7/uwItnY+akTX2hjVc9d+pC7NYxml+mDIr9dcaQIo09gEKBjodFAR4kKxuBdul4HLasG8Fl710yjWgTnEkGNVbndwmDUAzmrDRaEl6LWWKQXsERkeN6N+rgjttCoBaAb+YfLI9WquDWs4qcNCvYNrqYH/1IIu47L717gk9oESABETAw2sTy0P31NYCSiXsSUBVsyxEhNJpbwVrDhDRLFeIov2hVhWNiJ7xWStSrqCdUV5W5FSxpIY9VMQguLlpuLkRPDwIXt+LNhbfGra9Ytt37PuGvVxQWkNpjGpjIN4MMMyD4AFm323VT2kYAWRzh9DraQkg2w894DR8S7bnBmG3ltMe7/erCRAELnHtPYgctEYKvTdWsr09BBU8ylGQsgapamNtrNy0ron7d7mxAJYQOuhZY8YaF1Q07Nw6O6fJ5EN7tAL0lrlic7GDxWHzxV5MUBMaY0DKKqhyXBccjwtu7xa8/OKKHwgLHl9lnB8F5bKD6z0i/z9I8n8h411kMBYqKFQ1s1gTygWqHFo2RGoGeipiKAgGfmr53wj8AJOZnx2lK4d4TNrn7xsYibrR9Kal67LisB5wczzgsB6wpNQ5k9GMpuVfAHPUxm4m47ym73g7tWw6J5+Ez5+B6w1ALJrKjBCoK6f1CKJRyQIzGlcQYKBHMz+1jSJwz/zMZ0zz/ybgMzY5y6bAv3cGP2KFoOh1N+wRwv67Z3/mOg0FPl5kCVDPqPaid5nB1RjrGSZNA3btVMgARTP4ceBI3cpdzxVhXdR5NTAggAQCB6CB0MgKzAPM81MHPECbaHYAtFr0Zniv/VnMgYZdtzvTzvAQHwPAojpD5hK9aW2EOgL+Du5ROcF1JBFmfHvtkoVr/b3a30f6xqvWTbnDyUFP8o1axRq0B5ACoDA/MNeQuGIQgZh79FALQjXC6fS2LsZxBQfM2MoAaPMcYXg9zzXwkSma5zKeTZT65j1NmHyD5AF8nPYhXhyLHkVuTIiYgH//LltP0tCEEJpSpaIBK+/LRWgIJjE75oJSRDzeSDDJ6OvZffW7b9sEOL9Q67/8vhmo7cp507sH8MHbMz5XACh0Klv/HHOAENDXlH+tg151DtRW1do0t/XwhK01PG0XrA/3CImUE/7iiLuXt3j57kvtAp5WfLYCCFrxS1D55nVdcDweUMqOWncIqMsX56LR67AsCHlFWI4Iyw3KLjjLBXVXVcCyK/VJm6RWU+bygBRf37j5mBzH35RjtpGfcFAixFUXObPNzwpIUQXMcIhIx4R8SEhrQlpV2CBYAZMIjLrsDtzI4De2xpJVnwlG76JBhRv7iQW8ukiNWLaejVbHfb8T22vHPA3mbBlzw+p1o9fhxohsVDsFFdFAkLWkcBqeAaYQtJmr2ksCroQZMIILAPa9KV1y0zqTrVT0t/U1FTToAkETxl53MDeL4g9hmRwJWRKAaAGoCKcAwoIUEECYOq3bi/grVxQu2HnHXjYTaRGgy1p7fynqO0foFtTNvG5iQtanDMmCuwp0xeT5tcYIAE3AlIFalc69VwFIqyiJtC4KAFKsyKacGoMgMdAS0Kx5Zlor4loRnyryVyrogbF/viJ9qSKHgoSEQILDseFxZfzyzzK2HdiKWHsJVXHcio5BZVZVVVbAMZx0Gsk78d13lJ/yBN7ZSMue+QrOI7b74eM2wA86kFcgwmZ+hz/XrPhYKmu9jrD18RHr08RIISFHgUgCIiFa0z9XoFwWBcd7FYTadCODfaebHLueHCJyiFhiwhozlpBBQmhkoTaj4iFMfp+j5KDzzefesC1A36UmX7svk0BD4jpnrAcFPzc3K77nSysuTyseHxacT0C5VEg5a10P/hsS/t9IeIFMF2TaNIjYoorntAbsG8h6QcVQEUKCN8kmlG9q754f3/bgB3CwM0X5zUkOzo/0fzDHFDwKw5nULIQQkY3mdlwPmvk5KPA5rqspuY3Gjp0HO+n+D9WwuRZlnN8nnn9/nXsTGJ/lEd7+PLku3fGd6Sq2KRm3lAVo1LDtG7ZywbYrJ3bbLyhlH3U/33SjnOHF2FT9dJ3WNihF1sPHNqwZ/MzAZwAgb3o6wM/zah7vESSQDrL8X9/M/kxn3efE9IpeLyVXY+4Wcs4QsvHkmr+CjDhggIciaTEvrC4lBusFJkhLQFoIKZtaWyDAHP7eA8CetVs0IRiN1mlumtXwyP8oPO1Baobp+AtE+9RptIShmYDeVdTS/tL8xKEvYqXRBTVaMaoqETjaxYplkPiKw+9OcTDFN1WsUyAUMIr/o202k7vdf76Owpq9ZkYzD6LPA3eiQXDVMdIW0vAmSBIsC+bPthbgGhEBnV6lwypGXwCCCGLU7Y6IEaHARxt4GsgKYlHLsfl3ZpkvSt3v4NLxOl/mwmLfWBsCrMGgVINtun3N09iH3+6UuicG7saqNHCLtxz+xzdSzp+81qk/FOh0Jb/5bWaLNHE6IvUq0WsAFV5XNEVAAQgLSingC6GCsbeC+/sHvH59j1ev7vHq1Wt8/OoVjocbLC/vEOnu7df26zoCgAXACooHrIeCY6nWt6kBlCCkPSRACXtlIK6QuIJShsSESkUb4ZaC7XLG6XTC+XTCdtmwb5vVUjbNdPGgz4w94DmUnYNN419IaHQX8L+9ZSB+I+BJKqNtZtnY7AeLY0TtDWJZkC644fbeHLnG6txXVqXLyiZx3ZQGWIs2/iRgUp1yGXvfM6+BT98fhI1CxjqezRgDmBx2W+shqKhCSq7MqjLdKXiGOtrznBmKU7YoXGWLyAxYlwmmOaCgM7q6qMFesNeGvTS1hTSaQPs9Use36fg0VfTSLLE+Vw5Gz0pKRZKIuReS78DNVOCaqBBCVw5rBXvdUeoOtiae1MnCo7lusLVpDMxhO3xamu0NAMBa/dls79V9Gj3Y2nj0OUtLQGkFWw1YFqV6EwHNovGtLahVC9IZCYJkwFJ7IoYUEGICsQCvCLIz6J2EmCKwagY5kPb3+fi/M7YnoFaAmxf9B6My6ucEatbrTsBKEQCIzarJ1TKcfQ2CbQrCCBIN+oUJPJo1Y5+/GnAkCojGSkikIKoX1TQyn1NvgI53AzP1wFAzv4mZEcBganptIBXhYYCYQBJGfW1QwSTNCsHEdWjMGyEsS8KSkwlz6aNZcWynTKrzodch3CnS6kOESRdJr/nK93IAHdAzVDkF5GzKyEvGYV2wLhlrjngpStMr0lBAqCQoJKhB0MIFEp9A8QsIYUWMKyBsLT2ciK4sikj6CCErOAQgkj4V/Pm2Bz9X2RH9wxWYIJgzSOqQaDGwORsEkBW+qdBBxroecFiPOKwHHBaXtNYO1oD04Cpk2shk+t2B2LNzFI88vMVRfw5+BsiYru9qoQ6aSrD0aAij4Rigi49rVUKxEC77GdumoMcBUCnWBJLN9aYxma+33Qk5eDZhilp6CpynBazMKgM3ja8bmno0rzlI8n4Gno0ZBAj3Kz3D5Gnaq5qfeUzttGn2HGRckfsgwl7kN4+5v278xsZ7K6zF84BybdXHI3OuRTXtKXQF6Q5+rNYnpdB3HWZ3Itxvph5hcRKU2L3uFEJTZOEGSBNwUuoAJUGIjJC0dshYFVpnIDQ56Kz/IKbj1gs6LeLrQC4HpJw06+T9oowV2alM7tJO/HA3fDEO40zQbJmPvEzzp2ccTA4zuFMFqIqbbcJkgNTeZLQU1QCnECFh/Dx3HydS+krHSEHHS4GaKy353HGxB0ZkRhA24IPegFa/XpwJM2aToEf3yO4l9bc4kHaQrdE+GPAheGf1UWw7P3ucViVubT64bRGdY2xjyf0cPwEI2Sn7pvhNXgJglrMNfcvXacTgYDV4/rtdf2++6FbK/MRggZoAzbgJswZdSkAj4HzZem+H+4cnvH79iJd3J7y83RDTcHV/4wcBWKF9f3bkVcGP9oRqEEqQoP0jQlxwKQ1MCRURDcmkuxm1FJRtw/l8xtPjkwKg81nBz17ALnzAngWaqFs6ij6adlp0dc8IAIIXmT/7+3OzPKktPd9j5iDO24JbUhjtNFFFmLQuENRVGf29o2ZTrgJczbP9bvttDfe/saBVvZIQjLIbALYoguW97X1yVb/aacndVnuW1WizQrBGJTrPqqBFrb0LkRF3NhDESLFp5NxAj1LSBk3OVbAUGDn102SCHfzMkxpArYxSWwc+pTalBgePuqi75pRbZs3UNGmAVKOjNQBVwY/rTgojtXjFQPL76/U91Z9N1KB02puqwpGbTT9nUcf+OdgR55F3X0MNGkEs8u+AVtX8SpXe4NvvMVdBzEA8EPIOpFWQkhYySdsAAKXeYNtv9UICAFJgpYgsAJT0Hr9HwPcm0C8JJKlNjymAVkaKAbwL7t8XcNFzYlbgE2JCSAlpWZFEgFZ1s7Rspjb29Holt1MeHHRrPgCuUK/wgWf9HQZ1X8xp2uKXYfNG9CKlasZJgu7Z3T+xNdvZCb4Pw6jbwhAOtj83ZQskA3rWgyf4JgDpU7I3Eba5TUBvx6LZ0KTiXBx17+EAbgFc9ByvmrXB7LaoLzWF+yfjo1CELKIYgrJBcspYUsKaFfgc1gWHHJGDqtS12MCpoiWgpoCaCCUF1ChoCeCUgJy0dQAE2kfKArZkwY20IEeVV48x2Rw74PIp1K6/vcGPzzrgCnT0ue32cULo3A2KRZCs4DvGhCVnBT2W8VHwowBopOk9MzGBnwFXxs9+Pn2S+nldb0LzZngNdIazP5wdm+CIfaLHELWWwFP2toybdXCWqpvSZbvgsp9x2c7YtjO2/YJaN9SmaXjIdbZqPr/nU34e/l6L4w+PYnQ6xAxwRjZIRHokbzSL9MyQfWYfA1x9h3+vn9FzdT1vlglYtOK5Q+ifwePzfYCvc04j81OqbSYC1GYAyDYXsjqeyKTRLGWgIVrGxzM/HovT6L1+VgdCTD0LpBQD3TSjFdMnJuXlJ0CsaWpIyveNyaLuALiJKjfJAD/92kRpWU6HEIom6QwgKC0lxQDkiODOR6UuIKC1SoMW1cfaOcqJuvJhgNPe3CHT4IPYAu2ZIwECB4QgSqsQUQEJu4ddztu/1yR2KUZYEyUgaL8JeNTWhAWiUWzIHaIAaxiL3leJxSWsBdHmH4Q1AulOQZcO1yCKJsqkm5/OLmO1J8z6/eIAnNClVSEayQs2qmw0O2BkdGYboVYqah1Y5GsHxlekiN5Aul4HugfbK0P/S88Gum80evwEG0OY4+bAZVrwhMkGKoyLotmzXu9g508mta3F02POMAukMoh2ABGX8wWn0wlPDyfc3z/g1evX+Nw772F7d8chNeAzAz+A5tEOAAoQKpZjw6Fp9odCQogJOWXEfMBaKrZK2BuwVYArIK2h7Dsulw3npxMeHx9xejrjcr5g3zYUV/uy7E/z7I8XW/u+5Fm+ydh4xLbTHt/EK28cM2wKFnQhoi7sAmCgoWeHlAZ+8lipZnkkqv0is2NimTwVrZAevKpN0KL0rE/fB3jsCQ6OmtnzwIIQ1HkM7EDQxqWD6SnZLON3t/8iMEEJm4dGA0NgBEq6lmPUQEZmxNiUqhcDUtLIfySNgEQPHna1V9tPTVXLm0n3nkRuiwyRqHIXYy/ah6W2hsQBSCY+Q7omlWpripIs2mRTKrSfmMpRxxTQOBuFLWOJqd/ZoYOpDVUr1+m5oPcEElV3dbEFD1toM28M3xsATBBHjCus+8/zQIOO914EZdc+Z2VvCjqagh6uek1hEYSjIK2MuDSEnHVv5IIEoLQDtnrXwVyIrPPMbC9DsxpgAX+hAe9oII5CQMhqs3NlPP4i42FnlN0CgQLNTlBESAvSuiIzayuIRqb06r6Kitt0h6ajQMsjdlqABw4MVJsISjCwpAJFbABOP0/LfiNiEAMerKJIFtticiKdzXNf3E6N9clvPzqwFBFILDrWyV7SDO14XZG6HQACEo16tkQa0M8pI6WMmBIoZISgNG6AzO9yFV1lREnQvdd3G6I47ToDxBFU1EH3Rl0/OWnj0XXJOKxZhQ6WBWtKuCH9vBIKOAW0JKgxoyZGiYw9N7T4DXB8FxIzKC8gFiQDPUS65+e4IqcFKS8K6qyR8nUI6dc+vr3Bjx1XQEP6H3pgrJt+A0PTzEcLmvkJU+bneDjgsEy9IJasmxI3myxt+BwTAseckfDsxeSk9/Ocz2eCFd1P7YBngDn/OVDU6Bxp8WiI1jRuor/p4nH+tVIQLtsFl+0yZX8uqvw21f1Q323p2X7pphcdOMxD7dc5RwZd1rGnxidg0ylwporjKm/ze91YDeBzDbRmUDmizQ50aIqaTcnqHkEzo8Lj8zDdpxnhtaa/lzaiqiwmGKqeYw9eQYL2bTGnN2YFFN6kVASa+ZkieWLAhxvZRu51KwDLRDloBIlQakrVzE/Mgmi1M6kDZ6NcsRsDGobVr1sMGHvEiTzzo9r8lJN+f4WxnjU6OxxlnxG+QYSewengx6Ke7nuLUxZFRordMznBHG0bW82iTJuQR2GnzE/P9EwP6o8wRW1ndpxYdspAkIGYIGIc4qlHFvn80ClBFrFTsGf0OcFQkJbhVPizm5mexxSnXYzMDybBA8909oJpUdCmVJ/Qa536YScn5CEPe9+zGN31nkC4muDPjg6IHKy4hHq/BluPNDIZ7JF7R7finzHWYv8c0doHbvo+4Ybz+YKnpzMenp5wf/+I168f8Ph4wmXb8M4tf+K5/vqOAAU/FYSKmBuOR83ShFgRUkZeVqSl4LwVpI1BuxaVl8rg1lBLwX7ZcD5p5uf8dMa27Zr5sdof8R5TsxgNALvL+hONMZ/c0m99C6dxz/vhwJZmG/4J4Kcy+GTghwhhCUBWPi3F8Z5ZPKbXdbI3Bg49+9Ntl3gwS+1nq2Z7iMBh0Gd1orjtHvtlD0rNn+sgyGhX0vTzpQq4mDNGACQgBNbrSaw2KbN1m/e6SA+uDFW4GGO3X8GovzEHpdJFl8629wUPMOqjlmasBV0H7jB73aQ73c0yP2y1uI1V4p3bBdQCamooHFFaxRbTCBaIMVhEgVPxRpmm3Kqbypw7QBd5GDLf03CbE+/3CQ1odd5Tx4MZ2DfGfm4o54ryWNEu1q+vKgASFlAW0LEhHhrCsYKWYsCr4N0MlHrEXm7t3BgBDdFqNxA1ACfGJxcACOqcJgLiK0E8CfLXBf/9NaPuMgAYE0CarY05I+YVsTFQlRKmIEMFBcBjr9d1OXpN9QlkAheu+tf/I+oZEK8F0sHzmmEFzDlq/VaA1gVzEA2CQOdvhfsPdh64zgp3X8pqdtWXI0g0/6B5zZcDNhn7EYx5ESNyTEghYolT5iclzXpSVIU/8ztaVXDmgj1sQxFAkBDg7KjrHlv6cy8LDi4aZorJORkA0szPmhM+Hwh3JDiFhpZKz/yUGFGSoERGSzskAUgZlBYNmFiLAb3PGUtakfOKtF6wpm8gxq/oOuH/8VY790nHtz34ucqWuGPeQYUZ2NkLoGvqgUf29cZlAzsHbWSaVdY6JwU/tZmLIYzqYSlHQZMD3VVppk1vVkm7BkDD8RmnO71O1Jl2EQAausFGNYpd0tMNtPKxm3aertrw67Kfcdkv/XnfNzAXjUCxqcHQhAH6MY2h+O/oTs586WNjdAU3seLX8dzBj3GIh+qb9PeMGqKJbtHv7SeDHwA9K6HMJBopYXgQnK7ATxdP6PcMV4PQMz88/s59OMgkpHVMgijY8Xvpstb+EIYW1bM7ytKBT/MoFXvURbNCQSa6W0RXY/IobKca2aY7710uUekGdayPEY1mjysa7Y1SQMgJAqMqo2onbgkT+DHQM4+31+6k2Mf6CvxYDkPtqGUDgvK1tTZPsz9BGMS+YVOPtvaC+4nyNup9JvAz96UJPvZXGElBj9HfBLDolUXm2OajOfhDCsTBtRh3Fj3j49OQgt4KAukm3tPMwyboNqIeB5EVabkt8hvHwzlmEQXUwefom2CA7K9uGX6jcKFv9v6w64fNHVW21rFhE4zw9dRVI4Fp7RGCS/ba67RmQSWSt8uO8/mC09MZj0+PeHh4xNPpjMtWIAa6P9sjoWd/0BDXhhthxNQQ84K8F6RckZYdCAVNduwFgOxgZq312JX2dnp6wvl0Qdkr6rajFmuu22X7eQRYrhzLabw7P0nvYPBX0DeDqbjac349BzdG2y1qarz5EJqmRa+iRehgpAeNjO7YbaGXOMD3AowgWNV5SxS0D1ogiIOfudC6zyO8YaNZdKm4w85VHXYuAt4s4AMBOHQHP2QGZQU/lIL24PK1CSjNj7zeJFp/EgM8S0BcAmKOqq4VbR30GqABxFrlifKJnnWOtkcOtUkxINQ6eKl1Q2sb0AitVcSaUFJGjAnGVuvBEGFRwaJau6ob19Yztea7W/BDwVfP4xjS1loeKBAwUCkVmlnw9NA067gKtlPDfl+xvy7YXhe0s2fIpz0oVNCSQLmA1gha1LWMueHd36bgZ9tVvCTnghQKIBVEpddTanuGaMFDQqAGPDDCLzDyqeH9wrhUzfq0ouOuzDMCYkRMGWlZkLgBAcgFgNVcqtKKBrqaRRc12Bv6fTVLNflTnvEJPZhIIIi0iVGhN2mAH8KaAxKRniNpH8AGFcmBCKr5NX1hkaB3C8C8Dty2OvAJ3Z7M6979Haedp6TgJ8eIxTIxKUXLanppRICI9mlq1S7DNjMOanNj0ABKl9e2a2ZH0tC+PEL23UYhza6anLMCoCVjSbontyCQWNWHyYSWI1pilCRGe2uQHEA5IJRs9M2EiKzPIWPJK5Zlx7L8HNblEcma5+5l++YG79nxbQ1+nEcLDKM7wA+GJJ8h1h417dZW4NEQTw+rqIFHgpwnmQCo7O0MnZhVtx3mOEHcaNuGp6Tla9Azgx3B1efpWXVXozt9weQ1lV6UEGNGiAkp6LOm+dVI1lZRmbGVgr3suJQd277jdD7jfDlj27cudDCUqRwA+InYOXXQ9fZDnv3skX0HLSrFyKa3L6aENGV3eIzTVeanj59H/pzz7RGSa5AicOdf76mm+S1C3x05GOVRrcygaej96lfxDPz4j9su85+HG+MOnTswMiLxelqDXiBMfcNRNTwySoQaRrZ6IGrowgqBPOJJ/cGNkJopjhldMFY2R9PnOvWTFPtZ7EO5iUbtjC4BhmU/VKKS8pD8JdCU3bAUN8Lwi+y+aKaR0BrbPkIGKAaPGh0oDlqIg1QYDUam4ITW+wyBA3LemmV3QC7NOh7BUE2QMGgrBnr0kvScupPV55KNk2ffLNvWqklaWyPT3gV7cvzYm8sJgTmMjVxGBqZbjg5gpI/hWG/X64qmf32+Ct8GCKT/fZ6o9OaHPfuc7nqT13SNYzhP4zO6OldfN9O597F8y0lffeN0sW7nXIWrq2qq5O5vzpGhAIgBYqQjEFIFpYqYCihWICTs9YKtaPNale6GOX2atXI1M27VFM+aZrKthYCIgyDTI3y+BeFqaD/j45sDI6WRWgQ5EChp8MOfQw6Ia0Rc9JGWhGXNOBwybo4rjkvGIader9nE7H1TAKIKfxolGAIgY44A6Ovedo8Brtw+WyBC+t5hgTO3YZYB6IiftbbDUAdCs8BBEHCk0frCrtkGwup/0aenr1KyPcJNTGcr0gB4HtQTVjqyj7xnPYOzNMxBZgdPohmgWoqeQ/Jrn8BjU+Gi3hTc5hzzRHGLc6BH6YpVGEHZgErRsjEPg2Wo2ddKqu5nwbc+AKRAsRXB/lhx/mjD/tGO/fWOtrWewWKj/nl6PZCp5VmQNh8A/DaB8rUXu0Vk+1wAtwEmdVxDvw+RBOkjRtoaaiv4uDZspWErjMvOOJeKrZxQpQABiCliORx03yxRKdJVs0I17Ci1gFEhAq27CtYmAgp8lVplDXhtw+j7KI3AutP5ubGJmzSlUpoQlgMRSqrUxqzzvnFDYEJgAjHrg2AUa3QfJZqwTrA9UJyKFwzoGMsnEBDtXuo8s9570dgNYQgP6ZBOzvG4074bY0hkD99YsZ3tkX3DGqkF335dxTE58KfxcyD1O6Qylgfg8EXCsREKM2oDSiXkEtBWrZkm0bkREEFCiCEjUla/lxKWlJDzzyLnC5YsiFoAhZi+ub17fnx7gx9zqAFzlfzauw/rdQNQ5xjUbxb6erOJZ2/tJKlJSQ0hdo5/sMUQp03ciy89Ojac9zYc9jmz4K5Qn4fST4reeI69QFP5yQrGFPwkhKCqKeqEaWOz0iou+45t33DeNpz3HZfLGZftgr3sWiTJFRCXY7UoDvzc6K3eC9ls76lz94p9Tfn1W+bHZU9rayjV6W1TxqVHEJ0S18bPDlAmDrk72tfgZ3Yqje9OUMoBpsXvBsBQSW+mytcy3zpPxrU7+NuLXhtgtsE+ULoF8PeQzaMJ+ACmpIQBcsQkl+ffoWCI7H3BgVz/rGDZI908om1ujQWhotPHZoe2y13PIgtmuDXL0UBNDW4mAkJAyMqZJxl0Q4LuyL4ZDL/dnRRVaask2oMoUI9E9unkqalAPQqsf1fnpC9eCHyFSbC1GKjX9Ujwxq5OyKLuQLs6E3e+vhcvT7Yb0gGOTyM2sKJUAM1IcA1a22CglAUDCPn73PYAEAn6Oc7+cptwtYHMnp8bAD0xfo56nj9f//jskCuHTackqXqPbT7+vfNnmJXpWWPP9Hi9gM8jPVXpTryDuX7/MD5/ZBlHsGc4Vb4OBxU1mI1LVm+z5AXZMu6fbb3PfESo8pvTDwUhVxxcPpUKRAjnCyOlpv0kZrRitg6uRNZFW6b+KswWYDJvdoKx0tUCacKnnwUMurZbmO7BqJPUVwUTOAGgDutiEdesDmxIagvSEpGXhGVNOBwyjuuK2zUrlz9nMDdUq28qjVFaADNQGyMGrdnqu4uYfQau9us+fx1IPAM/aB6sclAg47WN0bnE9oFO/75aQzbhyKL8Tu3sGR8DDyGRZnpsPXySS9WpSmKBEBkrrFPkyKi2ojYpSgAH7x1k+1+r8MALJbMbLaha3l5Rij7XTWXxXUZdoH1lnJ4Xs4I+r+mTqHZ5ZgSQT0PWPYnZwY8Ge/oaNaTXdsH+ULC/3rHfb7g8XbCXigtXlNawM2NjUwzswMVrj4HDTcBvxy0g3wPh79Xz4p8fAcEGsIkGUXCQKaAIJBbErzeEVvHzXPCKK0pVZb1t175Ke72g8Q4QI+SIZV1194gRVDSA7XRooYAmwfbYontdcPBjNSW2N6ncedT1w+5n6Dp2Cn+z2j6uTWnAySSXvbVAsHSJABIB5gBqTR8Mrc0F4L2jiAUtaA86bRBugjyEMTZBVe2C12aKfgUHIEDl3QOFqc+e13b2TanbCK/LHY2rDSK5Gbqibk++qh8mHeh7R7BAfaRgjVrdH9ExfFUI5/cFx+8m1BvC3gS1AXslLHtAqwHUCBUAsSk4IqjAARl1z2TAY2zW6FQ0OQBYXfW3fnzbg5/aPKQEDDhDeLvFsklpCwxEVz1DSJyfbgugRyRjdwgioKPWgn2iLgjPknjkSiMjzXjwmKKl/q5r8EO9qE6jJiI0ehB4Biok62eQe0ZKuwurQ9aaptS3UnDZLjhtF5wuF5y2DdvljLJv2Pa9Z37UAlrbMnPMrl1/O9e3jCX54oArP9nmJJ7ZYLTKKJVRCqNYUej8Ggc+c18MzwTphjKyUleZH5k29z6Itu34hmWgxIGKF97DMzW2azmwen7Vvow8YrnvuvECMGUUdezFayQJcA6HvzfyoCMF+05uHvkaGYMGz/5oZoHYDJeB98DKvVXVmAAOpA0DGxBNgcfrWdzw6vUGc9KG3fOflTanjhoJsEhQycje98Kod1BNMhLRdBU8S+jqZiqoEZhB1uVdgqJC7wvja04HVovgYQIkMZB1/PaxDwBiF50RA1IStNeBOPgJpshDJkZNKrntEUiW0UwxmGwvTIhCpnsB+NzS6Bdz6MW8quZEpmzk2R67d7ZqfX9wJ8hBKovRCpxK0K3F9XydDwtKXzlsfegmYOufhOnngDA2q4n/JnF8/nM3Tk9NvySYOpAOYZjmtNtSQ4umTjc7lmyoes6iursAW7v6hZ4FHNenUXHrv5Iycl6wLCvy4io+0wV85seCQdYKIBSEWLAeVEKVJWC9MJZzVWcqjhqBuWEzWy8Vt12ttWcOvHl65gyABl4UwugDQsMKfZLD/a0cPFGwgNlWXh8UrM4HACIhHIKtk4CwWOYnWbPCQ8Z6yLg5LLg7ZNyuK44HBT+taQ+n1hpSa4gloGVBrQ1btJoimZ7YJD7I7ZH0uTJqenhkzVgplrD5JRUjcMZidGFBiPrZBFGZSVL7zBYFhzmkgw1gIC+OesUQvVYwDLs1uRMeCGCfOWz1n6z30QMiDrK0QfXkFMaIysHowAp8Wqn6+UEDJ7EFSCjYt4JyLtged5T7HfW+AEFA2XyYBFAG0o32YwK01ghBtF1AbXbu3dHQzI/vY0yQ6lkffVY/oC9+tItguy/YX2+4PJ7x+nzGfd1xaQWFK3beUKUMh9nnnD3fUgbwfWA+QMTU3uT/gvAvgPkJrRlQTJZ7SIwQGalUxJ/X5xMXPPCOnQv2pj7Mpew4bzu2vaJJAYiRcsR6WEAUsCdVf9tLAUIG6AJBQJWAyqz21ABOjMmAivp6HvjWjKVuyEJtMFCsvkuaKM2VG5YYrdY2Itj0QyTNXpB6jo0bqAQQE6TYUAfNAIEFxGoXvAG3+qRGXSSxelefr9nmDEzoRC8hQX2DaA12FYu6PXDpDKvhDfqZMZjfAduDYPsYNNCt65NAdoJi4jkebvN9I4KQQVqnZfuV1ncJpAGXAry+CL7r5wT85YD9RoVTthKQ9wSpAUVUtKEgoMaERISYtUdRjAk5fQOB/iciKkIU3dJt3sX8VjP3ice3OfhRB9sPrxFQP97DHc98jTABoDn8JL52afxHph1PQ3ZSJ6IaUBEGcdOFYojZKUAeVe8O/OQ0DsfAv9qK1noEwDjy8MxPQoqm2DFR8byAsxL3SH5tTelulvV5upzxdD6j7NrITxv6VV2ItgjMjRvOk4/b9R4Kp5X1qIBfwLxpmwPAU8+HWlUGtBo32vdmFzxgCwOx1QuMrIz9u0UO/PNnGuE1gHRnUYz2ZpFwgmWD7NR9ozXn/Tn4GRmC4TjsRVPdALQHhq724eRb9GOcg4IscmoVTXSqZxQ4pVNpszcHP/18RRMemvEJJhVLiM3oXE0QqnhSRCM+NseD3ScvRFYgREajE3XaxBTXiJA880MZkaWDEhLL2JHK8vn9AUb2jIlM5VsACT2VHsi6YXdeia8fc/pE1X7II1IS+3wMdh+9h48YCOIQwBS6s6irFiPzE+27rdaK5swPyTRPzY44MBSnFWrmp7agvUu81kD8XtlMMVvjkXttYGoZJM/6wL9DMOixbgH6B/X19mliV7ND5mEL6X+xv4ldYMDVHPd3uk3r4+dzGK4W5dfmzp2DObdj12f8fI2yXP1zD04EWLCeqGe0U/LMjysUJfzmZX5gV73azwHqOiSAEvJSsDarT0hZ+fI+HmZ7OkXLM6lTBkjcaffsOmtRMns0Vwfjatye3/vfCAACxn3oP199ogCJQKtnfgwIhWiZH+tflqLVvUQsS8KaEw5ZefzHdcGyZpP/bqi1IlRd26VFXEyZ0dfJG1domdeR2RdTcpvobl5T4vPO6GW9F1CDZX6Cja1HEJ7NTAMxrjIJBz5hgJ6e+XFpa7Pr88rp26MHPeTNh79DA1A234NScbUZNPVz9CaXWjcTdFGwBnTKqWq25Rsbyocb6sMOSoSQyTJ1hHBDWs/ixfhBg2VKdZNr3wMz+JkK6A38oNpaIwf5AfUsqE8V5VzwtG/4cD/jqZ2xtwsq76h8QeULpAu32Pd6qUFeAXwfNMVTbS4ewPIDoPb/MxEMQmAGQtPgHQPxF4H0wDgx4xe5Ym8VlTeUumGvF1zKBeftgq0wqtHKYo5Y1ghQBRUNFlNIIEoAlL4cmyCUZoyQAPLMkIvodLqC7iXsexw84+YU7ynz05qy+kSLPol4KPCS2J6srA8AQPMGp+qYEAUIse5RDPUF3SecaJYaBzRluxC11obQ+wIGApKLeLj/4J8F6futBrzd5rvfEixAq3VFPeX01nDbtJ3T+IxoQTTN11D3t8j8jVoEXyFB/JDxeQRcvizYDsBlIyyXAFnVn1VAE3pD4pwTVqtdyvmrICkgsR584r6+ZrI/zfFtDn4w6mqgvULG/aJurdjQqToXZE16CT3jA3Xa3Eg45WrosNsNlA4TxrN4DYs3jDLed6c+tGeLB+YEybCmNkkDwdQ11IB787aYsuqaZ9uEY7RMkFYhVdaO2nut2ErBebvgfDnjdLng6XzG0+mEUnaNMvEOrgXSzNA8o6w4OJv/1H+do4kYiw4TMBnj5pQ3jQqW0lCKZ3IcADhlUJ1CmcEPJvBzle2ZfnYnxM7bN6quSGYAMhg9T2txxusHbcFrWQauc+U7v+K99ECalgl4AWA0gOIONshStpolCCZ1GkhGmp+pO4ZtfkABECCg5jWYJnpA1iODyDIzBnyiB62U+9qzHYEQCeh1Pr4Wpkir9kuqGqGJERwACREUk0WfDPywSj/rPVcDw2iDxw+LNls5PwBLgRtlTnxwuwUHYFlXES14hf67vkyjXd74VWluGkHlqaGpBhxsE8EAoE4zCab25uBnOCxKZaPma97AJZT21pplUas20quNOv3P75mfL2y+wMfaPkPsH/zzvUi0A+++kAZkeQ4kvtXDzd741AkU9lDeBNKuXjHe0TNLHYTNUQB37LyWEdbM9y0fNtnR+RznT/U+ZQyyrI8Bn2VRlc11wZI/ZSjv13UEaAbIf9Y6I6KIlAQ5nVUqOYQr4AOvT3Tnh73eR8UONFthQR1z3oMvD6d4mp/u+9Kb2ta/vvnw/OgW/lkGKCwB6U7HmBKBsjmCyfYYq/XJS8KSI3KOWFPCkiKWnLAsGeuaUUPrWy6gGfsUtPYgTIHBcVk6GT3A1cGP1biI7R1OKeyqixC4kmVrMOWredbTqI8g/9kfMEADIBqjwwAPuSiNFW07TcDtOd6yrtyP7PRXs69i5+HKlFpSpT1ttK9NRGuh1xuJCLg21T2hCokjC7u/3nH56obt62fs9yecz09WvK6097hGxHMCqjmvQaDJUq2/UpDoAVi75zwux4GPlFFQr2ffNAOIgHJh1HPFtu94XXY81jPO7RGlndH4gtYeUPkJQLXAjlNidUDyYtmeznGw+i8+gsP3gfh9EH+IIBVEjBgU9KR7xlYbPq4VT1UzTKVt2OsZWz1jKyds5YK9AYwEihkpJwDa+oBiRYgRCNq4mAWorSE2RkwVzKw1QVFrgmbam04gi5b1yCF32nOz+iv19Yzm2shq/AiwRqTaT07FD2K0fUMETIxsNVNEZHZBmR9z5j9YwIwEJj+PQcsjpb0J7D3BrdfcZ8+D2nr+WuJAtv9IZz0F84q87kcFqV2ZFGPt+NqdgU/3NZ49YHVL6sihVUExJ/x/MGP5gHH8PwTbCpxWwrJozyGCBX5jQE0q2pCXhDUBOf8Ccj5ppsyz6dagFQDCp0Qz39bgZxx+Y8hukm2yZvTCFMPUYjClxKREyDlZJAbKXa4qFBCCESqhiyYQgaXBO1FLq6htRy32qDtq3ezfXXNfX0tX2R4zj+QGUs/5qp7H+k0saemgJyWNjHY5a2FUS79uZcdlK7jsmgo+bxtOF5W23vdNC/24QqxTpm9UupnPxn0CBnCw54Zern6eQ13P4NPV4YCyA0SLuKtyzQxodFeba6T8u3j+ngm0XIMf90XH4uz9frrjPdzLOSI6fQrcBxkOw/+fvH+JtW1JzoLRLyJzjDnXWnufqjo25bL5bdnG3HvRFdAACdEDjLBNC+yOJRo8JGiZDg0k6Fkg0YAO0IAecgO6NOgYISGLjoXAEkK6v3+BDQYbl12uOmfvvR5zjpGZEbcREZk551r7PMplRMHYmns+1pzjkSMf8UV88YU9WzUW71e+0EHh4Wl1etvIc1ExWpfqiEAhFvvgO/uiGZOOxO2IiEJcr8BDzX5OEhPdpdHalMBqCZWJnW4Wim/R9RQemYB77wnJgVBTcyLW6BzEEE5QzpZZqYAlwvamGoiRBgXM6cw+8blxF4IFHrofFvnoZBFr4Li3bhQ2H9dKAYLC8TD6Bw9VCZD6jHhBm/QdNnUxCfcixz12cQIRdsCDXr3cWAme6xP90lGydpAcxkyMc8L1yAhAZM1Gbgz1O/3iNveDOWow+/EJff63MeC0DvJ+G9xLdqSi03dnqq6S+OLtbYopIhdnE1747iXwxvCFbfY0D2fS1Pe804Q3nNiK4h3WA47HG9zd3eLVqzvc3d5gTYdvkfn/vk1gPX5H9Hwz4uy5tWp0ruq8/kg6989arRZF9yKpUueiptH/5ubzNpHhA3A2HEBW2PDC0Nb394tvxba8XvHqCx/0w4UKFJwSthwWrMeEvJLlwRCgEPd8W/4F7bCojxf5LKViL1b4s1RzfrXmEZrg8oiZWKqD9myFHUf7GQhSp79Fs+iYMiISvPjnsLA3IfIDCZQTsLCp14XmvVmktjY4HXY4R8gvPxbH2Dcu18no88Nr4vOOOdESExZmLImxZMttJElgWdxYrljzgpIPLl5kn6uQ17yr0KrYvrZj+80zTm8e8O7pLd5u9zjkBbf5gEM+YC0Llroa2EqWn6WHyZnjoFFbdCUdqWeAyVQXguwWlNEaymfoterqSa2WDwLUJVh0NLjfblhjRIX7c/8fRj1Lq/0mnYH06yD+GogLiCpSqsipYHkoOPxSwans+M/1jMd6xl43nOsZp3bGrhuq7mhUoVythpsyss/AiWl0FXUHIVuNN84mYb4sGYCgCx4E0OmGUV/UfM2mEYUMx4YOgIeLuU49F71Fi1lOU6RFeHsQrN6UEgAWiLAh02nIkybYDG59V8kcBk2NLgbRIRBkXRfCiiSwvFsaYBZsaxQpuoNmFGEONsIA7sltU3bqJrvcu3lFbQwQKzKbpHZOyZ7ZRIyCJt9qRSsFTQlV7fg7GJoS8q8x8g9Nv01swD3/Fki/Hwy1v+WEvPwy8vI1LLk6k0EQRWyDwpHSYIF9lu1/A/BD47k7eKzj9kKMCEBEyImQfRDkzFiXBSnZoiPSUMqObU/uHTY9/bwsho5VOgBSaVYnp+5otaDWHa3uQB/y2jvVYMGPMw70zi6pmPKCnIzelpziFo8oUsWcRnTFw/6lVpy3DU9nf2wbzptR3s5ee6KU3YCPtnD9d5v1wjAD3IAJ0IJL0NOfdcjbYnz+7JYE8NHgwo/6PiJmXM5iEMG/vxA3mF4D49wuFsM4LNm9FhrqPAMU++Ammn43rp27YYYxp0+bgC5zasOoRJ8LXOoanqPjEx4GHc8cMBS3wKOKlj4uYdRzXOswfgSWPwTHMuyGbOcFw45leUIGeow6GTSdAYDQIyW9taFQVAaKKjJcFZTiQAmapshPizFlE294g/yMe18QWCFYu18jikkpgbPVsOjOgPgR1QHmdIBz9agXMAEfoEstq3MHreJ2GwDIKUfiwC7AJjvwqe6B76IQvkDVZgXCWyRVN/T+PsQOtINUXPR/9f3FvvWZ4BoC+Axo41sYFH4+FHvExbi83mLGiaNS/9FEGtOIy9k3+tHVjO5e10jEQKpO96bfp+FoUL/vcaL9vGK8xyP6Wf9tGJs292lKWJYFx8MBt7c3eHV3hw9ev8aruzswByXtW7kpZqBjctcVnnkH9efSGvZSUGrt+SwR5Wmt9kW97sUBUPOaaTMAwkUb6sU5mBETlBNrTkNF8/37RPR31RU6yPyM2+FuxeH1q7Er9THgr3POyEvCkhnZC1IKpJdRSObKNeBTrM1KadhKxblW7MXazrzkYXXr1Fe1t1dQxdUnx6BEW7L5PIDI+xshsrrNxgs56qjTQkBOXiiGPAmBrIBjgKPEHfxM2dl90IxClPEfXT5375XPRurUI5c8NqlhRhMBSx7Fv5eGta7Y84qcD0hphdRq88ymkL1Bnhq2r51xevOEjx7f4uvnr+OhfANrOeI2v8JdvsPrdsStiNO3EtohQW7NU2a+RG9HB0IAOtUQANqudrxNIcWAEGBiA+Fd05NFN9X7KntNHVILRcwMmEsL5+o1/xcgPdrrVIG0g1IDpQZOBn4W2nH4uOC/nHa8KTue6gnnejaam7/eZEPBBqEdSNXyYsnyV5iB3Hx9U1dBTQpiAWdFboRlTVDJPWoSFyr9XH2dmc7dHBaTDdNzlB3MRJkEDceAyfgjGCg+p9t6NeyQUEhTYSQKlUIZMvD2RRMjcPAT0Sfy8TTibBbByUmdwUHuMCUHXja2STHmsZmiG8eK4AGpq2+S18i6BD8mwKCmvOay2gFiTBVTrdZZqag7g8RqCwEMUsZ/TYz/b0sW2UmmUpeZQEnB+jU0AEzfh5w25OWrWJbfxLI0pNRsnhR1VaIx6fFUm+yzbN/W4Ce8+/6ud7KI/sT7DoEcwRp30Lwy65r9xqpHfnbsu/Eeq1QstSIV19wX14zvoc6K1gz8SC2QVt1pMGhUQFhx08RJTq6gUadnSRk5Ij1Oc8vOe8/JClQxrKq0NsvZqb5Ab9sZp/MZjyd7nPYd+75jLzv2UtBKcYNQAPIYRs+zAMJzEac7ElDfA366hzcMamAMVh1zCICeA+STgojl+oRX3fYXiD1MWjcuZxDUz3M6mavVX6c+wW6Qm+y1evSFOp1t/FbHb5/tcbpuAHNm0MBrCqjRq5Rg9IFpHe1MFwczI9/Gfm8Fz0bUR5W6OmEX7lDtFCOTwoyoik+uYp4WYgNe5FEfi/x435+dIv2a/NrJag9UGGCpmJwHri7T8867ZSYYMCR2q55SqX3MhZBAAkPZ6JqaF3d7qwcR7F4PZ4Xd85Cqt2Z2GgtGDsGIWsyqhda/Z/pF0NVEPaQOk6eNqcPuvZMEBF6Tii9VpUCdtqDQca94tItq9KG5F3nPUe8/l74aXOS0BKVwsvWsD5mnvB/gevPbwNGm5EiHHZREH/F+aPcJfbGzehIEAZvsqi8oKtoFE+T6cBogDwhOsFzNFc2P04cKDDyadzH6FSMvGYfjitvjEXd3t3j9+jVubm7B9K2mvTVYlOeEADsBfKz3a8+bNLGLiPzYfCut2dzrQKfWiloLahj50twz7LU4EDlPbnFS9Gntf7dCgkDkbIz1y3M+9aUbPrYLBbcAXJ9xO6wL1g9up9+jg1YVeN2Q5FXjYR5qFVRpKK2CC5kTwaM8Bn4E51KxFQc/xdrEaGw+66jPFO646EqfHuUJSrPKBOk9VGZDxJMbI0oVz2nuW3BKmwsXJLa+HEAnuaR3z9d0xlNPgBtzY18dYoHRGP/SKWUqPtO7zyh5odS8JIs+iKKKzWarNizJ1veUV3BeQJtHDDZBfStoD4L9zYaHpwf81uljvC1fw1busaUVRTcUqRAVozmlBWld0R4E8gV15oFCbTJHyHDbVei41yeF7IK2AbIJdNe+fpPpy0AKOg0dREa7F6eITUChO7IQjpBpogPA/ARO9/5awCRgamAWAye8Y2kFp69ueFc3PJSCc9sd/DzhVE/Y6469bShaIChAamA1iha7yoA6+BFR7FXBVcDJ6OE5E5pkyCogpi5UEWCpr+/RIQJkIxxfpt7YQUMAIBqRIFO6JdSo8eZOzd48vq4NZornxjCD3RFFNLVf2I7Jad9qOalVFUrSKaOg5g56EwQydkUzGwiMpBZxJFYX4nInfot0A8/DJbY5h0MymzxgahLqTMkAkI+TJWXklLCQRX0yG+UNsS7XilYsJaWSud0YhK0y8omQniwgYTWCCJQVTBWJfhONKlL+CEuuVnctN6TsDnyxiN5wPqBLXn/W7dsa/DyzBDroQaeVAW4EwnXII4yWE1bnM0dhyiYVe9kBAmqzeg9bMjpaLPCDzmBKLdJKf9ZWR3FFR/XkAwAIoKaOgNG94Slli/wsC9a8YlkOWJYVKeeOplPONgxrAZzuVkpxOeszns6W23P/dMJ5333htsW5VDOvQ/ow5A8BXGGAORLjoORF8DMMT8xA6OrWxIQ4IlWC5tWkB6Voghax4FyDrwuQhv76xR4R85YDnUgEJH9PU5ehZy8mABSf+WGEBu2tG39OoYXnqIQaoLpqT1c1g0M6pUFF8NybiCQIef4K0dTW2l8np77FMwU/uGFiIPhkKmNB724Ab2aarsFRBhJf0t6KG2FMyajPbkhg+k3EjSLxJ25HUAChEWWJqBojUwLlDMqLVxgd99UMe8tvCuAzwO+wR0b6phvUolAWS5id9FN75Eci8jP62kgijUVmLNQKglTyBHb0CGtEL8yh6nQ3Uge7A5REu0495aVe6mBLMXfIzrGetjjDWGRf3F18172NvuLZDYhdhjcbYVAOY5d1jHsRE7hg5dGeIdIgOj7rwBrdUDTwMBu2Om5J7Mqbm8LznjOWdcHhcMSNR35ev36F43Lro+lbtVUY6DkBeIJDMahWQE011NRDPV+xqhvvFv1vtfYIhjjVrVar0dJqsbmsjnplvYHnG6balfHCidAAr/fBozkBdErhJ2Of39Z2XBd88bXlZCiMDtNUel5DZ1CEk4UUgoYmjN0LfldhB4qCvQn20nDeG857scKv1WlvVQetDfbcJgOsG5NQExREGKQwQy682AEOPdqBZBMU9chPUMoxgE4gmyniE7mAIW4wIt3RGvHsDzfsMRUu7iF8/3soc2UmZGYsOWFZMoTNU09ia5xiwZoXLHlFTitSWkHsTs0nRX3X0N5VnJ7O+Gi7x7vyDZz2e+xlQ87VafVGh1opYeEFy+mA9CjQszoVCKYoVqYxiOHkVAXkLGhngWwGuqSEV3+sKer5j+GAYUpgMmEQyw2xdprhzmWn9depAMmLULIASUDJgA+xIKcd8ks7/lMx8PNYNmxytvyeesKpnLC3HU0LGioaV4ALOGeAxQpVKwDPp20N2IqCkwEjTkBaGIsyFNlsNKegtxoOiThfurgGCzRE0fZwtkUUJ/gTsdZE3igclCvARkdH/43n5rAiqUV7jLEV1DeCppinvU/PtDcJwQS3Q6FQtby7nFMviK1ISGp/61EoRY9it56iEQIInlYRbCQa9XqifpSNKxdjYCCnpQOgzAmZkuEiUWg12lvZCRAHPqooyig5oT0m5IeE/CphYUZNbNdCVnw90W8gJUHOVm7AwI8BH/LHBfj5naa9/Zt/82/wd//u38Uv/MIv4Ktf/Sr++T//5/gzf+bP9L//hb/wF/AzP/MzF7/5kR/5Efzsz/5sf//RRx/hr/7Vv4p/8S/+BZgZP/ETP4G///f/Pl69evV5T8e3ieJGdPXwMHioYFwrvPCgvNVWsBe2hufQieeuI65h7DkIUqnQKBbaLKcmuWRmYtP0NwBEF0ZOP08OxGuVcVMAoeTSr1E0zA1OgRUx3UvBtu8Gek5nPJ2e8HQa4gZ7KT35trlHjbtEIXwgxOIyFucBbICu6jQZ4AF+xH/3PPpzdVdmD5qGsT8mklq1H4fcGECfnGMyGs+xGH4S8DEb2sUjQnAg1jf1PJg42bDnFe9NBr9YBmleDuni+rtXPyjgPu+FXcj+fehYM8MbF5FbmY+hHV6MSTlsKsEQXGCAJi9TXOeo2UIjGNfzTaLBYkG3yE9RRVJF9oXefHvu9UX8VqHJDGKCepgiLiiiAUPK1gCQ07x6/tDinqlIuuyNCGQzvsmpbCzx93ETlKb+F7kCKp7T1kBSgU57GyBKpvZ73nd8wXPPmkTkR2YwejkO7LQm73RvpTAGwlCa/xbfeGFeuJojOvDxZ9HJafHCJkRDpGfqyB2v9mbU/hoilj8hCkXz6KW9p7jQeQf95PTZ+c7nbT1Ep9djLBFb7QZaFqRlweFwwM3xiNtby/d5ffcKiW5wERX7pjaFRXos2qN4Qmtn1HpCJNXXOowa63LmBGgN2M47Hh4f8fj4hKenJ5xOTzifT9i2zejEuyln1ta8aLA6bWueDp+/GnPY3KbmfR3tGiGI37ktJ8btwaJrVriRunhODbwLm4jEx1ppNrqbgyCuCXtt2KsBn31v2PaG86lgPxVsjwX7Q0HbK7Q1U8YzibZOdUNtEzCKy+Y+aignICdQJmDxuQ9OGXfFl5FH6OCov6Vp/nfxlT6QBarsR6Kei0R9AF3eIzutMah6naHJAAsXmeEsV3ZTRgplHAhEshuNC5Z8QMoHpKQogFHeTkB5anhygYG9PaLUglILAFPy3OkJZzrgqR5w17x9dzHAUz2Hp8DyeYL65nNh5K+0k6CdGloR1N3y2Ig8isIAs0KVTY1OzYhPnKy4Oi8gXsByANEK9iTDawDEdLR3vIMc/KQk/lBkN26Xxx0fvTvjsRht/7yfcW5nj/hYvk9pu9tZPte7gIKpqwmSR1SKi/8MUp5dF5EVhE3i9pznlZGLEaHbG9LHYO+XbYgcdKZBzPM0aJyD5m/CBvCC5WFgNP9tVy28WFTm7hZzAIzuBmP9UDAbCAgxiyYGcBjeJxMDarW11OsnCZn4BqlO1D07tuUqu8IfsQPcIa40RJTG1GR5VEbtjFyfHN+lyNtVa+MmJmLYqCu1NmH8N0n4PkSEibFkbzNtkKRAc9nzLFgWQV4UKUkXYLKaVfYaAPJSP9O8F9vnBj+Pj4/4g3/wD+Iv/aW/hB//8R9/8Ts/+qM/in/yT/5Jf384XHK3/9yf+3P46le/in/1r/4VSin4i3/xL+Kv/JW/gn/2z/7Z5zqXmfZG7k3kZ+DHDUFgSFcSHKkTRCpaY9QaIXVFa7UnaBNP4Ccs1hggKp5s5aE4CEx53HtxGODBQ8Y4L/h7O/dxbNXmFAADVQWzo0lx2jc8nc6e53M2cYPTyPUp1YCPqhU3SxShf50KX+EitHpp14R5ZBOkYAI/bpCL2rmIqhd9HIo9dt0jrMspkgwtX4mKgxixSVaCg6yTWXYd+ZlO8jn4uQKVCEARVLdBOZud1Rffv8JD83eG0TjIXNd7oDhXoX5s+PzZaQbxHAETjfMM3DBZTBeWKg0/lI6oB0UEyKMQ/VuuQam9sdwO1mGH03ShFqnR7u2tTbBThRAjC7xmAUEpGc93isoAAFEzz7AbFqQCsE1yhswYjWzCEzIjoFHUPoj2sZa1CVXs4XlGILFz7xHCcQ+0/7MJs8upNgZJBUkDq3Ghk9cEsnmyebvHvgZQjCE+nLoBfq6MoGjeaONI+n/+DQyrwPuAg55I/o+vzxGt2AROmSOyCA3es1Esv349V2fRT62fb1B33IDjEf3poFIFojxED97jdLje5nX8MtPDzjPljOWwYLm5wXo84NWrVwZ6/HGz3mIosH0zW4XiBOgjRN+hFpP638sZ275h28498nwNfpoYp14bcN4L3nx8j7dvH/D27T3evHnANz76GG/fvMXjwyP284ZWa48uvs8JFBvHuMTAjRrj2+fWazx5rdD2zWy29vEldxGAaMPeir82w67qKFBtFJ4w5uBUOHfUuYOPwCgOeMou2M4V+6lif6ooj1Ycs35cIGenF3rfMkqOMQLQwnvdQ7JASNkTgQ8L+OBg+QbQxWIOmuFAhwMRAbAkcgknl7iUjOu0NDIlsxQRbXKJa1+D2Yub9jgcA52C6GCKfNwG8LFUWne4eXHbrvbauM/tROROzoyFF6zpgHUtOBxfoe2MsgK0KJQaRAhFCS1MeJ/aBw0YaBBUuGon5nFn5yYFkKL+EEiB5WF4FK6eGupesLWCcy3YWkXmw/RYQEgooqhi6+jKGS0Bu8iITtBq0QUMmyZmnCWb7bcsFcf1EvwsWbAkwXKq+Og/7/iVR7NjniJnOXJ+yoZz3VCbO7WMO29GsN9jJadcq0CronnUIR5dpKQYiNEXHs29jxFhAeDCJsUjvxVRiD146+x9Loprh4Gp8HkEPn6cGtdCMEFk1I+L9RdmlwLjPsd4UGpG0iVF4QYCdedB5BolAhZZUBOhNkZuyXPFTTggRJCqWK4xMyPnPHKD4IVdHQwZiHE2CTxaBSBqCUZUKLkTPxhWXemQTMArXz3SYtGi7/M1kFmRloosCmSLxJOzN1LSAX6yYMk2nkkN7EJbb6nb2+2zT4r4JsDPj/3Yj+HHfuzHPvE7h8MBX/nKV1782y/+4i/iZ3/2Z/Hv/t2/wx/+w38YAPAP/+E/xJ/+038af+/v/T18z/d8z2c+l0Ftg0sN+yQ2gaCIcvTJy8PaET6kBhDZAmCGQEPhkBK0STg8uLPKmQ370Okyjw+HhDVMgtr+kDr9ScfY6Ocemuw+pUG1QaSgNjUPTnRwEZTa8LRteDxZxOfRwc8eHOu9uLLboJAxW/GpyIMJrxQRjSTIMN7jnaIrmoh78+PKeqRRJg+HOB/W29XXiC4dajlW43uRSzGsswA4sdiHIfFC9AfX2GdWcCMMCo4vfmo5P0wWq2A/QZonl/Ht0Rxuk/ZjTZNa/1K3VAaIlGaTQ9xrgvbnfu5uYGs3rAcAmt9P8BhdT9nfB6ABtEtJB56d7qoDM+pAJ842vhs2eRNFaVbSFKhonNDU+LsZVljVFPzdo0YANZskoc3qXalF7aMGTwAeOOBJSGBKSFfgJ55NqluGd0cFaNQXGvJoRHcUYKZYOfAR9t9UkFgtAKP4M0RTN+ij745WpgEwBYOeiMtthhjWwNHg8eVoVL9XjDEXTH/rkiNEz45x8T76a9/9SwD88rvX5xudee5fUbNHibp0tQCAOIB10GN88gn4KBC+8RdPIeYJDOAj0K5ISmxF69b1gOPtDY53t3j9+hVef/AKH3zwCh+8fo3Ed/j8lDeBiRc8QuQNyn6Pp8e3uH94h/O2Yd8L9lL6szQzOAb4cZtqemzbjjdvH/DOwc+7tw948/Yd3nz0Dvf3Dzifz6by1nNVrtr9AoL65xTPOn3L+9/F7ZtpOJ91exkozayIcX6Eqg1bM4NBVVGlOfBpHQDV7vEWn7PdSGJ7ViWUrWI/N5RTRXmoKA8F9W1BfVvR7nfUpwppZtrZWFCAZBIs0ZEMTuQLlOfxUMJyqMjHFXyjAJsJJtnQYgKhK7nFvEgjJxA9MmPHifXCEratdUPmOkBQx1I0nU7YEDwcmOpOLvGFUZkQ5S1G6YuQFvFxQwYec1qw5gOOS8N+UJSDiaFRblDd0QQoagqeOhKR/F7Zs6igakONuUoJiFpjEfk5w2htu0JKg5SGVowRsu87TnXDfd3xVM/YtSHTESvfYEkVBz4ic4ZXVAGBcEj2uko43BKYDj5PjL48wI+ZmEsqWJcdADqF6aANy8eCr/1KxX992PBwNkfuyYWbtnrGtp+xlQ3nsqNJQdSdIzWFT3MtW2QHsGT4Vqfr3KuJkrSoyyP90ar169bUfhMEBnQzzz7f957TLaaxDg0SPI0oX4/kk83vTUekKGrlmejTsIF6PiqCUdMHLcbw90LjELtWVAc/rUfxjCZGKE2QE2NdEnIT5KYmoJUUOZnasbgtwU7NZA2wZxAnFGpNrjoe5gjNPMZISmS5Pg6U5qCDORWiRuVqdSpdyCtocisxNgCUxMAPBKwFjAZGQ1LL81kWA0B5McDM1JDcLWDftfXr9ub0OebK36Gcn5/7uZ/Dl7/8ZXzpS1/Cn/gTfwJ/+2//bXzHd3wHAODnf/7n8cUvfrEDHwD4k3/yT4KZ8W//7b/Fn/2zf/bZ/rZtw7YNVPfu3bv+Ogwha3CbtEKlohcNdSMjvDuRoGZIfKSxWzJbtUgPAV0C0f5sE7ePDlXLnRk5PoocCxsUoAx2xS2rzzIZ5T0SFTZ1GOquIkcwWoYYza3WitIE217weD7j8emEx/OG+0fL74lFqjWx6sXwAckzuPKJHOOSiD1MOlv6XRlkomNpGJrvAT/hPXbLPvigMUAi+bO1ZN5VFrs/0bCAAx3tXrILKerZ4/3M+/1+M8zuRGiohHp9TNDPyUrXe1U/Xt8j9Z7S92JG5fQ196hHe9vDF9oAOLHb0Z0QCeQR8YJSV4uLxSSOOo6F0ZcC+FwkSF9SsuYo0myWKdk9riIgqgDY73mCONFXwRcyoilsfiJEVXWjsFH/vhChOoGcYBEgJkZUvWa1tomlXV0ujzhBUwJp8laOvJO40HHyGqa1MlQYaNUMlA7ItIuLBOCyfixWU2ky5snbJwyJEZGj+OLUMwYY8F4/t/ToYaKDKhMA2DuHuod7dDrfQ3dKwJR/3LDQ6GxXW9xLOwdFh2dkC13fhY/jnpQFgjYFkhnvIgQ06mo6LB4Biq97W0XhALo4gziuXrwK8OPxcfMUpoRlXU3a+tUdXr22PJ9Xr+5wd3cHps+j8qYAzlDcA+0tzqd7PDx8jPt37/Dm3Ru8u7/HVna0WrF7weVao0ghUMVyu1oED92YlQZsW8Hbtw949+4B796+w7t3j7i/f8Lju0c8Pj1h2zY3moynb31hRAbs3LifZzikhoc4ujP138fkoNEdPhf2UVxHimYH4Qx+AHP+7c0MUsuLG7kAIahjam0mZV1bheVU+LUqQ6piPxeUx4L6tqF+o6DeV7THinquKJupv5nxFv3SaDtmQlr/aioWnCFCFDVhp7bdVMGNEBYwsFSjhM8GfySp9DnB52mnMWpTaBHI7l5i8ZC2oRajtmcCZzgVPgCR9feUoh09V8htiZiO+vgAu0HqeTlOLxqAdwI/vGBJgkNuOB4U50WQsoDSBsUZTS3yI/D2ntaAGF8CAz8txrUCKjYfo5KBn1Bz2wRtF6dpFux1x2PZcF/OeJQTtnZCkYLMt1ioYkkVG6vJzVPGQrnTmwiM5pEgRsJOhw46bWYYc9ohmxMj54rFwc+aK1aqKP9J8KvfqPioVDxtO07nDSd36J7PFu3Z9w37vmMrG1rzmnQIrUwFQ0BkNExL+jfgI7VBa4NUy9sLqpcBn2ZRl9ZG/nGNqKR2QSJzZrYOfCzK6wwDaC8JxECnhBEwonRN0OAKwZ5Pp55baNHlkHq3Qq8xfwDRhGPtrwo38ql7lRRWQ7J5NJWZkVvDkhOaZOSmWMRAj2SFKCPDOPMK9jpU7JT8WPOGQ5ac6pYISGLzSCJMdDg41Y27smxPNWET88qcJ/ViL2SdMjKbOLmGDZAbFmrIWpCoIKOAUbAuA/wsrMi/0kC1grXhLRq+rqHQCXz9N8tnnSmtT36ub3+G7Ud/9Efx4z/+4/iBH/gB/PIv/zL+5t/8m/ixH/sx/PzP/zxSSviN3/gNfPnLX748iZzx4Ycf4jd+4zde3Off+Tt/Bz/90z/97HOLLgAIj0xyffIUkaDJE9FvDmBAR63irncckYoaofzJiBwRgkFriPB8YkZK8JAiQZKF3IkBiCeeM3VDltyAikhSLEXs2eh2HhH8JJRasbli21YKTucdD6cT3j2e8PB0xrunE7a9dE+XW0iO6AmE1HnHTHE11tnUwVyn3Llh02luM7DRmGzRB5sBIJkiPwP82DWh51ilDGRJ3aNaq6Bxs3Zqk7EWQMeTM7sh0O1M7cZmXO6FtRlbDF4KqpvRsiwa4x67viJh5PzE6U82Zs8TuTgAXT17D5GpXXWaEKNPzAulTgAIYWTHrujiIuPfxeQIN5zCaJpOb8D56fR0vI6ldGQV2GQcIEOkorFCvF6FEmHxgro5gJ0alQytuMdLwC0MNlOcaUioSJCQdSdTCSJKFkUiW87Z+4uoWvIqCyQFrzpodYDxttFBgtHdIvGz2aIvZCIQ0jrtLcHO1XyE6MC+OeeS3dKMukSY7stlvZ4X7vrUrv02hGFEV1+Oc587xcWXru7btF+mZ3+Zv4KAdeP1e76oMY5sX0YVcdEDnxetMK0/i3HG33fsl7ZBdZsfYfjCIj/HFbe3t3j96jVev36N168t6nM8vMJnj/pUAO8g8jH2x4/w5uOP8fbtG3z89mO8vX+LN2/e4O27tx4NjwKFrqoVc1HzBH+3adQTllUG+Hm4f8DDuwe8ffeI0+mM7bTjvO04nw1UdWnzi+jsC5tbRzFG+rzxSU37iX/8jNt7ooVGewvwExGfUZy71hAtcEW7raBVtZy4qpCqaGdBfVtRPyqo9w37fcW2VZS94dwatlZRautjG0EBd5rSBUAmhdFurI4Mk9W828QUMW+JQWsG5RV0ENAKcyD0SNHUbABCGUuKQM8NcrICXlo9H7BWoCl4IdBKoIWQVlOBS9mNv0RImXrub3euwnMkpiFMmqAeHZBoy8adlRL5k0mBnDKWpFiz4mYhnA4NaamgdYVSQhNCUfaoCz8bfUanEqv54mumfe6OJ2kj76e4qttesdcd57Lhoe64r094ak84yz1Ku0eTgsSvsHPFIhU7Kw6iWPgAJMbKwIEXLEwAZaxtwdKqUeDUQaG3S7g2jy7YuOQdxzUBCixfrdh/reEXt4pTKTjvBU/bbqwWf37aNqOo7jvqtuO8n9FaQyZGZqPwZ7CzLGwSV9hrreKRn+qP4gqe2ovoalPPQQvaW+u2jMazeoSomOJj3Ftjc0gfWkYXs4fLIsIAvQmpVHHqXK+vo4P94mu6BpLCtD7EYg13LrutFL8TuNPKWTcpEXJbUFrC0poBhrZgXTxnCA0Sue/uhKKUQEhOczVbojVxUEcXMUf7JlnRVnJRD/Iirhz58+EcSE57i0hPSGIvWJYFX8jZ1slfA/hLgrw0aFIstGOhDQttyGzgZz0r8m81bL+q+Hhr+NXWUKWgaDXVw2bg56NvfB5P0e8A+PnJn/zJ/vr3//7fjz/wB/4Afs/v+T34uZ/7OfzwD//wN7XPv/E3/gb+2l/7a/39u3fv8L3f+729j4xoOY2Ks4kwGxbU/4sFxzpU8z8oCKwC4fD+jobU+b8whhXQxOZp8dcATLYxQrBE7lUHJF2GNu1B7nEVA13zpApgLxVnl6zeYoJwytvT2eSt91L7xMyOum1jRIYId8/fZbsS3mPYuZFG0bhxvooBhibFk/7o3rjxsOOSK4ioG7DU9x8KeDr/FgNozoBhNuZnzPOSeTCuzMCO+GC2XKDpV0GVuwIQ/VA6v75uQPL5aYgZDIA8jD0PPY3jYf5enApdgJTogxTtF4pLGnfOvkt6+bu4gerXc3kc7fOp4XOv90JA8z4bNpwZ78mBCUF9YoODZZJY0GNyTGZNEjxBcwgJi7cHNQVVNaUf9Xy0Dn4Ia5ybT67Cxpc3QRxBFK2dR6b03JTmifrNKYXifX/QL5NT+agbCgEArB3N6J+6xtyxXsK+c9+cQND47txRx05HNM5ez2Ib83N8vwP292zh/Jhg8Xu/2y8sOgZRV6wLmXL1hX+EJT95dxe79uegvTVcgiBiRnaRg9u7Gwc+r3F3d4fbmxvkvH7K+SusV21QPELLRzg9fISPP/oGPv74Y7x5+xZv3r3B/f07vHn3Fu/u36G0iGyNaHZrQPWcnyam+BSCByJkEY294N27Rzw+POLh/hH394/YNgMEJYqfqhjg/lRxhmnOobEqzfmGz670WwF8puNft2ppBbI/+bG8fIOKKZg6+Kl7RSkFdTP6UCsK2c2Ylk0hD4L6cUV5Z3k+D9uOp1pQiqA0M05aqzbWGsYCQzH+xv/m184gyhYBxoLEC0Cm0rrWxSWlBZQBygBnQl5MvAh999aolQRVyZTmmkB3yz2SrULLDt3McOLFirjyQmgLgRZGygQkiwQl/8zKUgzRpCgFwMmAkmTGtiac1ow1WyJ4zGejYKRH3LwQ7F4FpSlqtdpiUgAIddADJIBMWS0iXJF/appYFUUbilhkp52soml9V9AeG+pTcerXjnMxettDPeOxbTi1R2ztAbu8Q5PN779CNY6REXGWRAuqAAd3eq3uZAYxUjOp/ERGjO5tA8JhUQANh/+x46ZZnZpf+XrFm63i7V6w7RXnveC07XjadjyedqtTuO9GUd0KainYdgMp4SnrpSXCcwa7Fwa7eKyZhossNjBFdsK5e6Fa6zaNilgx7JBfbw2qIzIUEDO62jMflm9WFNvzCJ1eF3RbyweLoU8YORHuFGE3GiLfvHkUPuibMsCPBhACoye3UZgVAagSgGZS1eSMCmIkztavRTvtj32BDMo40xCP6LE9or62Dgp7dFEaxYMTgTiBHWhxshy738UGPlITZG44ZADasNKGlc5YeUPGGeuvNHz9Y+DhUfGuCO53QW0FpTU0VFSfXwDgvH0+OPM7LnX9gz/4g/jO7/xO/NIv/RJ++Id/GF/5ylfwta997eI7tVZ89NFH780TOhwOz0QT5q3TisipVpOE5bXD1ObFoHBpN/BZyV3AAxRMsCl+3Q1e61zB7YStqqRANRpOVUtETE2QuJlyW6jApVB22z1qNFTdKPy2Cq/jU71eT8V5r+YJ2YtzT71ysXfEFGFKD1UizCzVDhJHc4RhRsPhEN6p+IaDoCaKrnLn7dapbz364wVMJWpBSPey9sTQC9Ayc6edjgi9sMtetAavX9PVa71+q1AixzezIRneeR2gRmeQ7B/F/oQGgJnj2x1IUTcqtYMZ/7E5PC+vJ0CMX29nc10gpgEtyP8WfZKAqcgpRaN24NqxlIeuNMJ2fmyBTWqi/n12UMAGNogA5WxiCkzgnMwTpGJ0Tk1I0pwCpSA0gKr1D7hiFhmVrpJ5W5V2O7wKiBOSgy8mA0INzWkFYv2DuSfjg9moWDSoXfDJv2lDEkLjhqSEppYMak1iEttLWnwxaqiMXiQ2oiCBDXvtK4wmjXGu7mWMqtpdvMLv6QD82vvbsInjBhOg4oIQE6UM3xpjl+b+8s3sYBp7BgYF6RJZTb3ychs5PpeApxsoTKCUcDgecPvqDh984QN86cMv4Utf+AJe393ieFyR+aWoT0CpDcAjVJ+g7RH1fI/Ht2/x5p0Dnbdvcf/4gIeHezw9PWLbzqi1eJKxUQBjqq5VUapiLw21CKonSYc0c6uCbSt4fDi50tvZFN625vkvNh9+Anb5X257Bn7KhtPjWwCAwusYedRHVUzG273ebW+oW4M6hUo2hRagPTaUraKUHedacJYduxRUaaha0bSiwWhgQBhqPieFg2jM1AAtICyASyo3PiAzo+UFkIKUGvJRkY/AckNYbwmHIyNlvsjHIQL2M7AnwQag7M3KUWwb2sMZ9bxjP28orWLxpG0T57FoD7EZaQQDReSKcpanazLbRAQsTo9bCLxmS6gXW/9Ka7grZrcwx9RMqM2ogKdiDs3zueDx3RnntxvquwqtQKKMzCuYjmC6BfE7MFd0VS53cFVtOLWKU9mwnjakr59AidEeC+pWUJwy9lTOeGobHtsZm5yxyxN2eUJtJzTZXfZYkLSA8AQgg3AAwe5HgtGSFm5IHE4EBkPAnveRmJH8dThhD8nAzy9+7Yzf3KwPPJWCU6k4n/cBfvaC8+aPUnDerJBu3RtqUdRdATWntjJDEgEpgWgBISMFvSqtyBXIpWBZTGp8WTJQ3bEnMEUxjCXZnDIuR93UquO4UmjP8w7Fj2vVkOttkldn3ycrQziBNEo5BFD5lH3NY5cJJAxhH0TJidZ+AYTUKZkKs80aC1gaWNhSIlz5jVhd2MOpaXmZ0hbga5mJDvQZvRtlbsyowKqp2vtR2sVfU4BgvuQE+uNXofiiNKwVwH8S0PczGBXrmzOW3zzh3Db8d9nw9tSw7VazqRSg7iaR34Jaqq3nrNb9szihxvY7Dn5+7dd+Dd/4xjfw3d/93QCAP/pH/yjevHmDX/iFX8Af+kN/CADwr//1v4aI4I/8kT/yufffIz8IG456WO8qq8S3MfH2Z4Yb92bgRoRkcOiBaxAURpH4b0BwuVjnMLvhz0k8JNg8F8kfMVkEX5JmLj0BYiHTKLRXqgGhrVaUYh6rUAYZuUdw5Y0xBqOA1ct21Yj79JoOZGF9ux4C3L9E4guUW4lW8ySiPiOJL667J/S1eD+NH79xBlgdAA0LcLphenHzJuf5M5DSvx68+ul7kdjdr/gCCVLfcTdkpmN28ADnXgfoiWtwdZgL1DW9jP32IqN+SQFyOvC5AHqBRp3wFhRMHZdMGHRFeDRDp7HfGfZK3dvVLT/fHOt4DlyAf3Xvj915QF3JxqOLLt+eRMGcPAG12UQYXkmNspFidYOE0FodtMkmrgbjUVqK3LhI6lSvMWDysOIJ0l29Me6kes6AmviuKKOpWLE4R7JG+0xYkNEYaImQnPJPXg8jOsu491N/mOkH/lAaIydAUwc+AYjiDylupc8zYn1RLfvfFuI+3xjKYL7u2NSjt71f+vX3ROzeJ2KR8c+mtMW53/fuHx3wov/Fgq/TQhhR5Gl/o0muNu00JiWP1flYTzlhPay4ubnB61ev8KUvfgEffPAKd3e3OBxW0MXiFYDnDJOqfoTuDyjbA073j3h4NErau4cH3D/e4+H+AY9PT3g6nywq7lLURst18OPe2FLFohO7yTPvu+W3lN0LnJaKfas4nU44P51xPp2xb7tRuNpQP7NOxr1jDOfF1JzXm2CUHZi3/lmsXJ8CYXUyWC4+Hv23CwJd74oC/AQocdlpNyZUhjqW1uqAp0HOCt3VXu9AOwnqVnAuG85SsIsV4GwoqChWl0WLRWYh3qU8shjto4O2TbQAWEC0QigjaUFtK7TdgKSaEuRBkFZgOQCHA+F4tJzSzp5wMHNiq1elBWisgFYDP6czzqcT7vczTmXHkggLWU7jGpK9vh6niNpQiDwYpYcipzg5vT4x+JAGpc4T6s9Hk6eee0Rpgn0v2LaGbSvYzwXb/Y7zR2e0hwatdozMGUwriCzvplOr+t4sT6towVPdcdh3pIcdRIT9bMqGj+WEx3rCaQI9RU5osqFJ6VTHFtFeMIg2ACcQbkFYwbSiSMXeBAs3LDAHk3VZxuLtE3VeMlnhdgKwJAXhjHdPZ2gyiuXmEZ/TVnDeK85bweaiTZvniO3FignX0iBVUItNU5IZmj0KxpYXypSR2PNK0oJlESx5sWLxqSCnbPOzOLVSyWtrodsgyefMoKxLAB6nw4XxYkusXjrcp/2MyBP8XiVznblzu9eEG8o9fZwPd/tkXxAQzngl5/MkICi2se6EsFIYBYpwTHvuuDoQag2SFmeGmFR8Shlg7fNFqLmKEESrLQXNBR56/Tf2Wd4YRoi2YDInQTi74pEwlBTJHKPfUMFXmoLeNfD/TUhSsLUTfr2c8dV6wlbP2Hcx8FsJZVfU4vYmGpTMSSNuB5ea8DsKfh4eHvBLv/RL/f1//a//Ff/hP/wHfPjhh/jwww/x0z/90/iJn/gJfOUrX8Ev//Iv46//9b+OH/qhH8KP/MiPAAB+3+/7ffjRH/1R/OW//Jfxj//xP0YpBT/1Uz+Fn/zJn/xcSm+2Dauxd8JItI+eickQwcjJ6J5Nsj7eNx5GNrodcWFyIg6oamIG3aOgERVpYBLU5l4iJgc8NDxHiIiNdeKY0jgMXHHpYVckqc0raDdBFZv04OdvnnN4Aho8GoQO3IwCZOd/sVRqXEpY0d5R3R7qlRZ8cIVBPWhuAXomJRMJDr2HeK30SqfE9XaMyYIvjfo4sUiqnc/z2Wt/P9sbHSBNCKSDKzLDJwbrNefkGvhY203HmfJrum/do0q2gMu0o+vz9B/GoWG/ofh+78r+GbkxBQ8rx73yydkEDkL8gKzfAh3DB5/NgE8oEw2DNs5J/FgkzQuPesVtIZ9g0CM/iZJJR6sVKzOpSQGkIcRBAl81suhPUcGuQFXPuWiCyhVg8srx3KUyLeLktRhgyZQR/YmFgDtWdRoAvEisR35YCEkGlYyYkJCwkKWXVQVSsmR+YrteJWAooQ3DcX7uSaw+QFWnz+L2CjolAdHfY+zEPfEFMNJDJHiHGEbr9TYWtZc65vw9h0DeVuMivMfNgCfe6zhP/+vUHz1iCwdvY8KYsWD8anpoFzmw9hmALGVTeru7vcUHH3yAD7/0RXzhi1/Aq9d3Ht2PyI/AipG+heIeWt5hf3rAw7t3eHx4wLv7Bzw8POL09ISn0wmP5xOeHp9w3jdse8G+79j33Tj/aucwwA+h1YZ9t/wUezRTy9wr9r1i34r9/XzGft6xnXcTOGieZ+aqSNdApav4xUTRW8c/0WfTzvSNl7ZPAD+EF/vBtHxdPV/uq2wbHsuj/2gUpoW6UVEFujdoqVZ/5twgu3oivUB2RSuK877jqe3YZMcuZ1TZ0XSzyA8qBAUhZR2MgU5txjSHueFoUZ8FoAzVO7R2gLQ7QI5gbkirYlkd+BwYt0cyL7/T0lJiyw1BA1pB3SwCRFKg+4aynfCwPeLtdo9zfTK6lkeil2TznGUleq0TRM6ggRJ2ZwS7gEuotqacjFZ3bqingrIVPN0uI79DjFLVqqB6XlQ5NbRTRX2sqA8V9bFBG4E4Y6EFiVYwH8B8BNMZkVBuqf4C0YpdCh7bhryfwZxBqrjfHvFQTnisDzi1exR5QpUN1eltUQ7DpMxDql1h5nUFdAPhCUQrCq1IKNipYpEFCKOX2aluBOaEhTIWNipVYhPKWbzw5P3TGdUB7+bjzqI9Bn72amq2+966MInllXnx0Bq0dXePUYIpVGQwLVNS/YqlCZbFisiuuWBNBRCFJAVVueRUEIHInG0+hXdp/6jxE5N7r0k3jXKaXvSSKmEndpEdy3dVQq85NaqU2zwR7IIxtH1WmSbyniZoC1YXKoB67mYwPmiIULGYciq3hkoJzHbPF7cfktdcC9EGk7e2ndaiLgxj8wL5POE8dKhyt0EBeGSfOgCCP4ICB8/Dt4Mp/ofnXn0RClRgazv+n/qEx/2MczlhKyeU3YBvKYRaLPrTPYzJnsWNo1IaPg+k+dzg59//+3+PP/7H/3h/H7k4f/7P/3n8o3/0j/Af/+N/xM/8zM/gzZs3+J7v+R78qT/1p/C3/tbfuqCt/dN/+k/xUz/1U/jhH/7hXuT0H/yDf/B5T8UN6FiQAwj4xJS80+hYeIKSYsA2eJ9wT+tsLKMDn+looG77hvQjPIxPCAUlEkXlgcRjYhwSgMNjfzGQFO5FH8/GD5UePaliuhYFZlyGspABqQGAQtbazhqz3TMtsjT9j25cEcHDs4ZKemBExVJCdLRf5PmMc5Ru4EYdjZ5EGL+Rcfy5EOcMVJ8Bn/dZBvMqP7DF5ffdsA2vN3XA4H0BV/f5Gfjx/iPUjdRx0AGArJHdmJ76Xd9n9Ced8jPmZI8L25I92hN82kF7gz8T+TkREFamdgQ95qhod7TBd478ddUIvlt0Bx5FIVeO6UYyEzgl4wYrHADZM1qDpgpwci+/Jy/bfIbqAKioeTwrWe0q8Ih8ZqeDwgsPZ2IsiVHIjA5iuRw/dmMAhEyooimDtVlip47kZ4ZN8KSElhRF4VErAQk7CBlaVOFFu+gUU/QiFpf5tllbwo0btXESIMiBj1Gu1QEPISLEBlY/Gfx83m0swN/kpug0iFF/arTJDHquftYpb/F+2LUGjpkT1uMBN7e3eP3Ba3zhi1/EF77wAV7f3eCwLhjgpwF4BPRjtNNHeHjzDdzf3+Ptm3d4eLjHmzf3rrh2NvGBsmM7nbG3ilIFrVVLNq7S52jV5MYTmeqblwfYzhWnc8HuFKR9K64wWlD3grKbRHbdi9dzYVjSCV+08rfm7v3ObdezVzvv2M4P/omLhlT1OayaWtaulgxexB6bFdJsVaANKEVxqju2dvaozwlVd6O7eS5eSFp3qrSvGz3iM0d+YPOf0GYOFS1o7Q4im9XuSmLgZ1EcVsLNgXC7Mg4Lm+GdGAubABFpQi2MbQG21ADZoWXDXk543O/xtH+Erb01YQXKHm0J2GNAbH5lc082FToiZLLj2ByTsHLGba2QvaI+FtTHHcvrA9reIHuD7g1ta9Dd2rJV8Ro8Fu1RAaSaSAOTKWJlXpHoBkQ3IH7wZdImevNnCaruOLcdic6gjQFt+Hg30HOqb1DaA1rbLcLjSfzB1ojC4yOXxcSDCRuEzmi0g6igotrc3SyyTg4KzZufTfKYTREupQWcMwhAypbo9XjasFdT4zqXivNWcTrvOLvzoTSxcVtCuVZNVK1FDk5QowlKDGUDP3Ycu385LcjLilwFORfkJdsjZ6MitoZEhBq2Dgb1TZiMEgbYJ1HctDv4Yjb7NNob94gHqzu9OUFUutPSSjCw0es+4yxNHfmEeiA5ULO1h+O8AURklRRorYG4gZvT3Zpi0bAdR+QnUiVSImQCVE1SulaLBjcCguLWQ9edBjjSLyK/m7ut6/YRj/XT7DRFk4b/LoL/3gyIl7bjtJ+wbSec9hPO+9nBj6IWQilA88KXzApKEe2yNqq1faa2jO1zg58/9sf+2Ccu0v/yX/7LT93Hhx9++LkLmn7admmrXEdorqxhjNyVMFxM5Ue7B338/nr/9Ox9N7jjQx1vrc+MEGm3n3UkzUFdVUm0V7anUB1Rp5vGJOWKMz1Um2hU4O1AyKEZYRwD49zgLRCYYcICE0gc1xeDbTapBtXHJcO9aFeVwZlvTVF7PY1RUyMSDd+3TVD0M229ZMYUprm+5apOYtTZsH1h4nkf+LmgmIw+EEy4+WBz3zCgMvFznx1z7KBL0s5tfeXxpxkYBubyfVhwafr7nHzhx6cwZmcLdeq3/UXguvDuRXHDDn6MCqWcLDrTFZci+kMj6V1N+aap+4EVUDa1mMaMJu6B0oQMNllVUpOEVbVjIvLY7KK7j90RhHJDE4Cap2U6au9GFRGIEpjEjReOgP00EkZTXYz/TlW4MvsNhY0IUP/TTIq7uhdBi2P7lpi3wb7dwe83DVs+ZaPp+aURpp66qGOJV2dDvtBtP+kQ6iF0y5VwA1EZy5pxOKy4uT3g7tUNPvjCK9w58EmJYJA5AzgBeITUB5wf3+Hh/q2prj3e4/HxEU+nR5xOTwZYyo6tFGz7btHx2qxgZ2so1WUcPN9L1Qrd7hPlaI9ojyf377t9Vkt1aWBTheo0QIR3FNPciOn98zn1eXtfv3/eoPTJfzag/tsAzrIX1IfHeAft3P4GwACPuuddixvq/pXmfUQgUCogLmCuSNkiqSZu4OMmqMNWRdLXDMGQzO4WUffE26OBANR2j6084LQd8frjI+qrhMqEwoTCQCEFazOJ/OzJ1cyQskP2DbJtkKcz9GlD287YyglbfUBp96jtYzCZyAIRo4kV9iRELTL33CNepy5KxMjmnIFFgRbOlmvYo+yC/dVu0aCTR8/2Cq3DISiqpuJFJvFPlEGckRJjTSsWPiDRAYnu0OgtQmUsKL9Vzr0vNG3YZYeq4LE9oDQDPqXtnss1UdQ1nBtAzIABqsxgfUlhzg1rzDOJs1bC6UzuJKPkRqp9rxTpeZjbLtg2wb4Jtq3h7OCnNYUUQfH26YuHqvcngmSyiANcNZQj32cU1FzXBYey4uawQpspSZyT5QsxE3IibMnsPWPWGNWTwQZ6VEylj5zZw54JrYpYNXoay2T0X27WMsyKzHBFTQaU0ZjMQQl3MkGd7O12SkSQnCI2hZcusFefxcUd8P0Ozf+HGJNTWXsNKrlg4yQmLImxLIw1mQN0Y8FGls+rYuUvXJHb8gJBqJWRkvScMXVGUJXBVtpLs7zrsGzY8uRVmrFL3Emy1w3nfcN523Hyeb3ugroDpRLqrmjV7mPKhKSEnIfKnHkYP/v2O57z8z9/m3iQQXeaDRkNbn8AnynJHuSRoGlvVwbPxIB79hwAx74XAgaXxrD9P1nMHf/YhKkmQwTqhfOo93L262EK7wK7B92BD001fS4WZ/SD6XzM0QzTIu2gMODRRIu5JLuEUl1URYdFpkJBqVkScY1K6i0Silunx13U9AnDb5ze59ve96MJiI58n/HHy0gQcNFAc1v5oAYMEMSfWOefjBaCh4+tD5jXZkCmGQcFSJ16ygRWXrq8wHmqw+DumGYGWGFXq3pER/tZTN/qUAsXk66r95AJdGROlp8mnvehhFndTV3eWrsaUbR9gKGZLulUU6/3pGp1DnYkZCScSY1iR4pFBIsIsvc/Juo0zJBoJsAS2smiohUKUh6RxR5tJVcAikRU6oYxwSgJkx12QWm4tD5pzB/ABY1NWS++hnl/Tse7GHc03RPRcS++pVuciODipDCcQORqeuCgM4ip56n2e9jPqoebY1c6fW5zUqg6sudPgM1bux4yjscFtzdHvHp1gw9e3+D2ZsWymBoRsPuOH6F4Qj094XQ+4bSdsZXdBQxqN/a7jkfYnD7PlNpQSkWp1YC4WERQfY7f9obzuTng8VogVdBcGWw4DtjLFNCFUTIyNCcSzRUQAnA5t3Svg1794f33+30AaPhh6Pogn3lTrRA3njv4EQc/6kUfHbErKTRpn/ODWk+LIkGxkknnpraiNrKHEFpraI1QqnRno0WZnFKpIzcxwM+YOwmkBY3f4lxe4d15xeuPEpII8Fihv2uHbjvk9Yb9cMCyZuScsGZ7fnw643z/iP3NA+o3HiH3J7TtjL0+obZHNHkHkQdzKLoxLQGEurCvSW9bbTLy1w4S4HmJDn6yLGOOgq3R6WTqclI8IlRrVxyMviuA56wAKWeknEDLisN5xTGtyOkG3O7AfAdgA9QAjmqDULVnrahywq4H96I/oMkJ1ZX7RKQb173ruKfXp0a7HgcuRAs4co1gdZfm9X/iIwxoGHlRZPQnAJ5sBqgyVJON1SbQRhB/tOrUeFe8a9VqbwV9GDDww+y2mkeQOaUOepIXzlxSguYMOSzQtoLRkEhw2BPOe8JhTdj3hPOeUatin3KqmaSPpRBxYjI1THKr3+hfI/eRIKOeInO3v+zSzUZTd1ArNzATKlkdbm7UaYek4Vvx/h8RpGspuUTe/6b1vjv7beyq090F0oFZ5IgOQRN/uB1GRFgyY10ybhdT5k1kDAmmBtVs5QDUokq1KbTa+p8SoxRCYkHOilIEKTckLkZ/g+Xi9jpL2sAJRr2Eui3YUMpuVMi9mhBGaah7Q9mBssPBD7CsCw6Ubazwguy1pESWzzX/fXuDH7M8+vMzeWr455PRG8BneDEUkQQbE24PDkR/urB95lAbYVBkhil5YV7S+Cy8/4r5+9MJi0BrAxXjWYM8md4PSMTgPOh0lMzQsKTukdTa7TXoNChiXA/kE4Mnwt7PMED8phvU1P+h/9apb1GUtUqnmxjg0QkITRWVex7Q5Km4shtnkPb8xr70wbjWZxGvDjpC+S7aXy9+NwOji3YISlN81yOEno7S9z+iN+gtRWT0qzCC43y0fz9mUvcgKdBXyJhww2bqJzVAWzep5j7uICHAEGlERC7N3wHmL6mZwWfnq8gPkUcng95H0wMBfqbz0kEnM6lhq7UgvuJG/2MmJDSDPzHxOncZLludQH3smU6AR4AUxqXvbeF5SRx1ribPrRuyrEawCuNjbkcCmWeOBq2Uon2jLTUMwwGAQJgS2X3HwcBzAz3aOjgLoSJ30dmuo31Tvxp75378mV5gnO3eG6e+OO8tnp3mF10O4tW+47qsRURhieM0XY//bQZrw/lCnjtpADRLAjhZrRAHPze3C+5uj7i7u8HNzYrFF1wTOLB8Hy2P2LYTtvMJ+/mEsm0WiVFfNBGSv+xiF+ZRDAnrvVg0p4q62hu7Q56w7WLAZ28om/R5yxwzPjd5GQMGWa2qbvaGkXdpmPR5EQxy7zpYewJxn2NVB2DsN1ThswSs+SaFpGe9AR4ZMSAHXw/iGCCPrsD344mAwqMClC03DW2P4uHiLSr+WgGX9wXgFFq7HnjZBq1uuC8A5wRRxSqE1hLKvmNvhL0ZADKaC4G6ES5u10beQjghPA83nIeqaHxCaR/jcc9498jIosBegacdeNih33FGfXVEXhcsh4x9XbAsGU8PZ5w/fkT5xjvUjx7Rns7Y9zP28ojWHqHyAJHdx1Y4S6K6Sa9qAqIFzevd98/JKHC1y/wyCmUQyAs/JvAj9XoztRbU2rC1YvXFQL3/KgjHrCYJrATKCel2wfK04JAXrGXFxisq3RjooQrV6gBIoCRoWsF0QpEEqJrIxOTln+nqvR/RWMs9C9nlvCehBWQQBfnv0rlHGOtazDoGqOxhU5L3H2FIcyNVG5owpLHT/MiBj+eZNKu/BcHIb22W4qPCIPWoT8rgnLx4ZkLKGXlJUE2QJQOHAxIUmRWHhbEuCfuScF4z1r2glIqtJGxbQ0oVRK1HxmrLqK2Z25KNyZCEPAwuNv405jxFLzXiaxQD5kUXnwshEBerSDAnndl0DeJRlSriuTuxpI55ptsYOqJMXYQpcocBt2VtViRFF+mwQSejz+iIwEIt6pUT4bAwbo6L2ZNoIFqgKmitgGA1i6Sp1S6SZvZnakg1IWebR0sWpGKgCWw8tRZ2ojRUZKuLqV5TDNZPS91xDtW/Ho0Xz/VR1AJIVYAScvb+mlYvjwCUxuhS359h+/YGP8MsuTDWezpaz3rugB6zUTu8525kIkKEgHriv9I05CdLyPqiTm8m2DOF+GYAFMedzPBxKQrTcq8ClArsO7pMYArJQFf7IPS6AeAwVg38WAg6lDv66YxJLxYznwgvaHXz+ZItRDMEiEnePHcDOIlGdEe64VGKg50Ogsy4sOTPmJAncHUFfJ5hHEwfzvP3xftxjf33vjO92mO0jclsR5s8P2r3MDtdD/C6SZ70bJOzHWQYgfb5Bc21nwcmgyYAj1EZ4cmzdkjxpPkuR4Yr9HQJfqKPdwN9OqMelogeqdNkCj8HjMWfMIAPT5Q3ZqNmBtYhgXIAdCuGqpx6sv98XtZXvGhcM0Or86wZxkeGRXsSD1qBwuigKdoObiD5dbAKWK1oZYPJyzdXVMwJVmvDr8fIAYPAwhqkFqDFqKR4kN+TuHFh5k+Rwo5E1eYQp0MHpSGmjAClJNOuxi97fwhwdG3vvpcGR5cxoucAJ95dAp5r4GPjxaGOL4is2sd39O73HKy/p97Rox+J52yZ0ciUcDhkHG+M9vbq1RGvX9/g9naO/GwACqBPqNsTzmd/bCfsPfJjRgKILuZxURPVqM0krLe9ukJbXItVppdGlmBdDPjsVUzu2pWltI2o9HzfLfJuff3KFOzXrVetPYT0dPSX3nYxpqdOMbUrzR886wKEKGGA3idfmL+grkg5n4ufjlS0dhn5oaj3BYXFUO3alNAjPzHPKAA0QnLqCSVT3hIByomx7QlbLSilQACUJqDmxwowqGQpBBpOx3AYhZNR0big1Dc4A3hzEiTZoOUV9HQHfbtBPnpC+cIBy92CfLdivV2R1wXbwxnn3zph/80HtDcntPMJe3nE3h5Q5R2anCHSJmN+rNWm2HUJeCJb2z5jEFkdHPs5g5EBKKg4MAaw1oq9VZMBbzvOdUNDgxN5bd9kwD2nFctCoGUB363I90cclxMO+xEnvgHznQOacxcasujPyAPpRrAb0up0pMuFJ8aogxXAhRvYgc8BJrG9WC6UU/0uYz9xr+aoKKHTBV0xljjAT+prgbQE8Yig1HhE1CccpjH+Ot4wypVfh0mR5x4pS8mec0pWCBcrMimWDBwWYN8zjvuOrSz2vGecS0XeKjJXpD1BUTpYNKXdZONdydIQmCZvp4nmwJ10lzLr4TSbokGUIGKzQ6PRbkUI0owmlgBnU/g+3LYDTQqg6lEou2s+buKOmEIbee6uykzJM1siChiHoqM9BEzAkhiHJVkkngmECsDBScsArHhshTqluAKwaGFeEnJtWHwu3akiJLMUZGkRkrA2e53YaJommmWS1cUL3m57wXm3+bvsgrpbNKkWNeELWrCuAJCR0op1uQEAlKowuvRn277Nwc/L25igx3tgGE/qH15MwLCFQmR4e6dd9I2evXjPH+nK+PSBOwz7AS36Ci5eUKtUYK8+wJN9IfnUFvsgQF0Ny843FlWdTnwY9jQftQMgW8yaR2CaupFI9jsl7nlHAQ5nQ9BOWXvldDM8HABF9Kd6DY3WUGu0t0xVlC9Bx3uBz0vb9Rfn99M+db6f/TrmH42jXhsRHf7paDfxSQU08oh6xMcjLpGYPxRgxnlcHCEAbtAYic07qjBrOCaubgrRBKLCNz/19wn1zVFM9YjHTAMNW3WYcdwjPxSRH4/6BO3NLBVCHyRu9VqldXYQpF0OOmzIUJ+x0HczeUpF94qTKHaSLtwRC4gRUoAVHqHpiZ8YtDcd8vKFBEUZrAnqxgoTbOEKL9lEe6O+cEyghKbGiYVGJuDT8668/SkAENBJ0b6ji54dNyt+N8xiP4Z6c74H7HzT2zVqoYvPI9k5nD8R0Y37oxfXAQzXpvcBlm5AxmNEES2plokhlLEcFhwPC25vDri9O+LVqyOOxxXLAjjJH4BA2hP28xPO5xNO5xPO29kiNdWLZl5EjT1Qasq05mgpDWWvJlpQBc3r/Bj4sYWyVEX1HAPzOA9xmajhFACIAe9Pfn0vmILWBPbcCYYz4Ii7fuH1GePv0+5cb+9+z+jSsfU5N9GK2sJYsPp0Ji4SnKPYbzJAr4CyWo0VN+6JTcEvryb1nBeTFV4fGcuJkTdCORNqE5y9+WLO79Q3iX5H3XHXlaxIIY1QecNOH+OxNLBuQDtB6wm6vYKebtDeHFBuFyy3C+oHB+S7BfvbDfs3NtR3J7TTGbU8odQH1PaAJo8QKVCp3ZUy1kwCPArWo0IRietn588UoV4DPw6Trd8DOKSMUy04tQ1b27DLGU3FgZVFVRgWbbmVG9wAoMxIdyvSzYrDwwHHtGDhIxIfoLoCnn8ibsw+7yfT2OjAZ8zvwJj3Y663RzLgwzdguoHV0AkaHHeAg977x+vI++lOtNnzB0CVu9iRCkMbGfVNAvhcASDP+enjR4DEI++Z3TZKKRsISia2kFMy5gAUwoKWgboA+5Kwroxjrdh2xnlj5M0kuc2hbFHjyBXk2iyaaWFIp8TRlACp7iiw/LSg/I0qBUEdd/IkW44RqaLON6sRqksfqHoO6KQMPKI/PrcCI8flAvy4c49srRfXJIj7EeDHxt4AHOJlIYjgkZ+M20NGzgyRBSLVcnVLQhNGbTZWa7PIOhE56Gm9RlqtArAgnCdK1HOCpFkNPmaawI/141Ivgc++e+mBov5aoQ1YVnE7PSOlA9blCAA47xX/R4Gf4ckaOSgsCmGdmAXDyOiTwpWR0U3LjpTHp/NuZj98/1AnSEMASHxi0N7xIhw6jN/J8FEBNfHM8BA8sCMpiye5x0KJEaHpv4+d6lh0yYQPZtoN4OpepG67mKHDZNpTpDFZWv4E4JGhXpUYF2o9HfS06dk7f+T9tIj2SHgepkVPx4D8bW2f9nsdz3ardNwIGm0LN9Yvdhj4NMCPLxpW++QS+FwfksIOnuzeWTWMQF0CclaJ0UaXP5omVGA20qnTrSiU+cIAj/kQsNA72QJ0eXXazzMWsvAEEqiLK6ioeeo08iFmr1GL0KEBEFgUpZHTkkitL8U1E1xOPcbMMAhFjT5ZpaEIITVgIcYCoBG7OUZ9P5137ehPtKESoaCBImKW3HQhsnw6MclSBpDJElqbDlPWugR5bQJ2pUYY5nN7kGCewFD00aiBxaMr9VoMHf1FbkPcx0vAPz//9rY4gbG3IVM6jjjqAQ2SXGcQ+80yal3QWLzd2RSerLZYJKYzSFsHziYmYbmIlBfzZOcVlBd88MENbl8dcLzJOKyEJSsYFVKNegJqUKnY7t/i/uEeDw8PeHx6xMPTk9fd8arwW8G2VZy3vYsVnLeKbW/YttZpEq2ReZjFqCvaBlAyRT6acsimJpwefWwo94E9pYWO3/jcMobsmLOv4vwXG73w+hJSffoU981sigbB7u+GchOooYcp53BmB7va6Tz2FYWmBk1kkeBGlowPQVMTum6hbjhdT2dewPtcYELyPDQY2GpNwNxQaceZ3oK0AlpQa8EHZYeWW7TzEel+xb6syMcF6SajPhbsTzv27YTzfsK78oA35S1O7Q1KO3s+UoRbJwjaAc8APwE0L+8KLmwFAsOu1mobndsZmTKqFhTZ0XRH1Q1QBdHqkZUVhIy1VRRPvO+40yONvVaWEfOn9rtiOPSn4e0nTf3zAD9dxMHpaUwJhAVERwc+t2BawXRA5iMyLyZC4/nFmdnEA8gpxZ7v0teyeb0KsBXOPaCLIiR/5JSHOimPLieEQRmd7CtmgJIp+6VESAk+FxlwJ1aYUjpDJUHagvVAWCuhtoxSEs5bxnIqrgoMVFXUWrFn6vuNIqUAmbS2+sThI5ojAkTaVd1mZd8ALzEnUtC422ifUHPt9zQusjtPe0frn41+Fw7OiDSa3RY2iWoDyB213kP7DmdnpDQQKXJmrGvCzXHBYUmAFEREWNsKhaC2CuwGZkxampFSw1IaliSoyyh7EVT7cBZkl5QL0C1B15MhzR355iaWA3BmJJgdwBmAMI63R3vcxMMiP6dO4f1s27c1+DE7lXqnCY9SM/7DWOAnA1L6DDu2y856ibLNaoxJaE5wD/AyGTLOI7EojN/YqePNp9ONPqCDH2oyqb7pOFisEP0XkUPRV+fhQYfNHeyTCMu4lIgOserEhFIoG6IOL+LoiOi0uBA26HLWk2LIAD4OeGTow0sfYFOkpwOfATauvZefedH/NOTk9z68iGHM9Mk0AFG07vXu9OpuTTkRwx8+7k8Yt3269gWzAwCg55KozUy9CFh4y3p+T6JhkYbXbA4fYVBDlJ2OxrB+QwTi+OkwLAwA+TX5foYcQwAgn7hCcbBZtAbBH5cGafaMVqHSuoqcdODj06ZfgnXMiLr49fXZ3fsjDAw3NVnSQkChhMZkRBzi2abvfX30W5ix5WOGPUcjw34vruQTV5swKKMGosaCQlEwMbvR0+y+iQMlyysiAzVOh5jSD0eXUB1UibiHve9dgqD5uj5ts+7sv40B7pQJBCh+9v1xh63AnU5zHU2/NQPJ8hFSpzUSRRIv+W+t2ggHAJIhSR4LXF4WLMcVaT1iOR7w+vUN7u4WHI8JywIkFkB3tFagpYB0h9Qdjw/3eHx4xNPjIx4fT3h8esL53HA6GSf8dCrYNyuGuHti7FaaUdl2o922RpAW3lEfO31tjR4v3jXDKGyjwTTyyeymcrAExL97MabHnbW7ajfbSgGOKMq0FI37TZefzdHiS6MWF1PNWA3G60/vNdM7ErRUp79JNyLNcwuYuDBNv/ETbgBgBqFSs3pVAKoAEEIRy6nYW7W6LSLmPJnPP+bKyPu5OEV7YWuQ02WJUFBA6QHQBk0FIhVoO9ZqkZGUVuTTAXyfUfcdeznjVE64bye8rQ94bB+54IEVCpcmU0PT9FpHpKOzJ+JmxJru5x+zJxEUDarF8pTkFkQrVAtEC6xg5BkAgenOa/eY8VylWs6HWO2TmHsVkQj/fKaIz8jviY05TOfYjQaMejPRz42iSGQFZRkHEN046FnBWM9DfKAAAKBYSURBVJB4RaLVwA9nrJywMCMzIU8KsynWsP7AcLxFk7nTBIDVcUsWpck5Y8nigiU2tgxYmxgAqE0gbxQmTUzIDlQ68EEDUPv7yM8DMhYhrJUtitEyDlsGZUZVi/ScdwNTAexSRHKEPHfHJ8/hURzgB3AQlnwN5rGGRHuz9Z4kTneMfuZ9SX3GELchX9ymv8U8G8BnRN2MXqdEULWVisJ/QRg2MeAMHKdFkoITsC6M4yHjuCa0tnp0qEJkQdWG87aDmSGiruKWPOrTOsuHSAASkDY/v4Sc3bYidsBr46qqQIh6fcvuB2YCJ0YigDMht6irlnH36ga3r25wc3eDm9sbHG4s8rOc5IVGe//2bQ1+5pWn2xj237jR9gWfxPDMWzIDnkuqkk2GFxOOuv0y5hR0s1iHgTGviqMb01Wfns5DxcKsrYGbgJ1zHsW2wjMZBwlaSqjFkMslkjdCCsUpdQN4tm/cYA7DPICPCTypK0vOVDaMAq4OgiToIQ2jmKlzdSPPJ6SuDQyhR44i2Q4d/AQNJC5mBogY1sKnr+yXN+qltwGE3PKm6fV79zTt6mI3DtpswtHeoMMcoREl7OHnq8UqHlMRsK5aERQtDrDlxjP74qCKPmOE3crqYEr9NSKvvgtnqKsg6MXVmPE3EvrZHwQ08wy1WiFETlurDn4bUKs5GjyiImRixU2dwBSX4/N9UM6gDCVXkZra2hI/m11PAw6sqJrQEtCIek5OtCGTMxE8wbyKYlcFidHlGIoCA/wAAGmWQwRAmZBaiNdKH/fhpUyZwEvyNY8t6tWsujSTmmRPIkDMS+z58VZ0Laam8CBU70u9Q7mB9Wmd7j0bO9UPCBBknWw2kujyFtvL6Csx0Cbgo2RJ8clXIGX2mkQhZZ56rqEJUjTvsmL0DgkPsALu8VyXhMPhgMOrGxzubvHBB3e4uz3g9piwLgBTAaRByoZSzpCyoZaTFTN99w73Dw94eHjA/eMJ51PB02nH06ng9FS8PohCyog2l9JsDiqKVmAUG6fQdMM7nP3qgI5tLksQNLVIELvx2Wdy5Qm4hBk8x3/CQI5neO6bYnaSTGRndCg6K2lN4PECXV3fSJn2IyOq0u8/XbhmrLdd9Sv7bhgMVtxYk8Cqvft3iSyKaVrD0JCqIoDY3PNKCkHz6KjN++dScG4FWykmPd4pznHcSPa/OJm+vgWllxogEDSqQFUzZlUBFogUVD6jtjvc1BsceMXCKzIdkHjB1nY8thMe2hMe5RGn9oBzO2FvpdObWnCxelvHYjOv135f+uvLuzJvzHauzGcUeguihO49j/UcbLVXtHodSELVil0t90Ob+CTq6yUGzO3lg19w4PK8pvRrst5KHo0lymAsIDqAYdEdwopEC5gWEBYkyh6VSsh0QKYVCycsyWqyZa/FRpx6xIOyR3YMDT1vF/LSHIAbvw11yViroiWBLrbucLP8VyvV1qyuj0YfNzedRZpg9eFcS4XZooPQCk5myOcU4Iicdpcs8V4V21agjF7v63Qq2JKDGLJoUookalAX6IHC1gok0BIxQctttGnT83QC+PT6ZuaJTNnWJmqjQC6ih6hCmJ3ePY3fsAVn53zvb2MOAYBEYorPTkNwTg84TQmlRBBXzmtqqRakxoRYM+Nmzbg5LEYLxQKNnJxa8ZBsPRQB9mpVJ/e8YN8VSzbnk8mkaz8+ccNhSdBmDsMlWx+yRC42hzrgGQCea5ws42gBA67ACCTktODu7hZ3r25x++oWt7c3uHPw8/Cw4/Ns3+bgx80HArq8n7qVPoOfebKaJo357+F+6xPH+AMiJD+DIfV9uQ2MQWmxD+I3F/PntOfZ+FQoUhMkL6xFfZXQcb7xNHnPRMzj37/X1Qv8++xjNxgLGucxRX7UAFA4jaERzfFcHYldD1rhAEYGggbIGVS3Lm4g2nn0Fqnya/Co1WX9nOvNT/qlP8+ffaKxeL3gf5phefX9q3afYka4RGbhAXQqHAJweCfoyfPuWXcwEt4yJPLEf/fmeI6K1ZoNo5ZAEn02rFiFhYgN7AwAZMfsggyBxBBRARlXS8MYCX47ef+NyE9rlhhsiYvVDYcGag3kkZ8YHQF6xNtbR8jBJrig01H43Sm+6fxfs68KFEUTagrvJ/fxHrZhOCwU5iFuKijNOnMiA1pZCc3Blzrvuqcxd6fHcHgQsRXv4wROvkA1o/GNf2KLtZqXyy/MwZmPS4IV6avqVCFMDNlIVh/b+wyq93fVYaBGH7XdS+8zMXX5rXdDSPu1xtxnUUgX3CCjA/IF7Y1HNIzJPKts4DLaz+hu5hE1Hj1jyQuONwfc3B7x6oNbfPDBDe7uDjgcM5asSGwat62csZ+fUM4n7OdHPNy/M8rb4yMenk54fDrh9LTj8WnH01PF49OG7Wy1ndQCkNZvqletb0BtBBE2503PN7B2sz4QJqWdc5CVLxCkjx9zjpLfwFD48vEU94L7TxCxX+qRxmHCjlWkm9PP7n3/zO/fdWRkrDvx9zFv6bTfua88m/lIIDQiP5zEIsgMMyR9TqDkgy08zwyrp2V2DsRbTr12T2uC3RP9a20oXvejRzCCSuQz5uW1xbowLlZE0Ujc8PSxlZx5wAXCZ5x4xYIVKx+w0BEZC550w2N7wkmesMsZuxQUBz1Vak9ut7aYwY8/uVOMptcXN2g0eP+MRHCRr0ETiIrhyjay4BFTSEbT6gpal5Efx+0Xhxk40dd9jjxdAyAjyX2cB2PxiM4BTAckuKCBg51EK1KPBnkeEiUkWpA5Y/F8mqC+ccyRDi7stV9rMGnn5vTvqKrTyhISK3JWrNltlmTroDaFeLBFXerN2kC8ro4Bk9Rr95gDhlBtfmNTLltWYFkYOQNELrPtCpvbllFFsJ0LzueMZfHIz1QPiImgHDRw7f3TSt/6lA+AwL6OBBV7Yg/MgJQBkCumEiPCpWZfmf2UZFqXEY4APNtG/5qOAd9//FCBKKZ9mZoR68WI/BApUiIsHvm5uckQmNJbiBJs+44lW/5Xj/yAsBSTCg8HFJFPygqP/Di9VO3YBn7ZokpTQdQYa8weHaSQNM9gXpHSgmU54O72Frd3N7i9vcHN7RHHo0d+1s+e7wP8bwB+YimxRH4aBjakhxo78OgARPvcRn2CGJ12GJYYi03MYH0CnxYdnY3jaWKaonAUJ+L/yzSlKbR7lSkmvgtAE8aTPWsACnbqm39PI/ein9ygT0R+MgO9XZQs30fhAYW+8ESdnubFqNzwVHJFpef0ttZ0elxKxopM14Txuidj6uXi/U1vn4CholeojLnkgkE27UCff3Sx8Nit1G50It6rAyCibicMeuHUrdzgJPLZ0oGPZfrDRICCfs80dA+iT5L34fnm0hSF8siPASmzzeeoQAdvZL0v2P6YTHsoGRc38n2aGUlhONhzA0kFSwOLIAKODZcAqFPfXHYzwE+PjE0TvAlveP6bijlAidCYTb2IxjVc2B9q51pFUMRUaDKoe5AyfMHplEXzRF7Q3joDxheWKe+nG67enkQEZhniF2w/lmj7FA4GH0ACd1Rcdc3JyPvc4OelTac+TNHxFTHzIT5HANJICqT+N3WKTM8zoORtknpULJy8Qf9i1Wmh93wCTljXjONxtZo+H9xZzs/dAccDe76P5fjUcjKBg8cHnJ4e8HB/j4eHezw6AHp8fMLj046Hx4Knp4LHhx3b1jpVxmoSESS85QoDPhNNNRKorYE8od16JKIm18iAQvdbhOCB6EA3XZIek518NXEMeZERaX3pHn/aZ892/Z7t886gSlYcuL/nBkoYuRdxzinmOrNIDdgLQMkdWXAQYeOhVsEeRWYD+FwJVPTW6PfjuhX6jG3GmdgAJbBJDmuCsBeklIZEZ49UmMHOSNi1YGs7ijYvumjgokpD0yj4GI0cM8oEfmK7/mi693aSoyO4W2SyNTAieSAfK8mNfQCSAD6gabFzjFooNZZ+7aTJ0W7RXE7FR6wroS7mY7WLGCxgOiLhiERHJFqx0GqgBwsyZSTKyMhgsni5OY9CjGEI3ljU1xL4kTz/LxEoB9ULE+1N+4AzgQJrD2lq+SHZ7B7J2RaD1ECJTFVQgKqAaOs08XhwRGiyA5Vk9WiIjLtPnJCWhHUlHA6EvDK+zIzvIMKRAbkh/Pop4T/uBY+PCw6PJp2cPQqXQkGXTZABwKSzE1p/Y+pM3v493YknAHQFghLgAjwYEVsFqgqymJMRsOboUckXNpra5CLPSL3fhV0VUUcXFRmTWqyZgqYmcJISsGbG8ZBwe1wgunodIBNDOe0Llmx5TaIWbVcIytJcLVPQFgM/JgZheU7GmLf5I3K8cnZCsHidpOZrMXcNRAPaOSGvC3I+YlkPWNcjXt3e4u7mFrc3N/jg7og/8AUDP/ndgl94b4s9376twU8HGehwBoAaL98TkaNDzJNZQBCzIy+9vs8O0C3lEeXp+7kyjMM5Ft+/3N2wtHuEIA7gCFlB3RA157zxgbWFT7J5TkVDI0ajZrSUABceOTImDiEnWH0LBnLCJI0dfObRHt3vT1ZjJbljQpsbsOGRF3hkZ/A8A/DMEZ5QTBpAJ5pFB2icnj/lJo9W7tyV9zTz+/Zx9Zb8hb74peevIxwLYERtKCb6QDdA5IcRyJM3qU+GGoTsMIoDyGgY1l47Z5qkiOGFi+e7NQGGqU8BIcTgQFNkJHrr9TXpxaIdH2v/J167qaG0Cq4FCqBKNcqIuCqONCQ18JNU+rEF11G9GK0DwNjHHQ0iFvP4diz6QQNvUDRSVKhHhRRFFJsodqe7VadqgqwKfVMJsU4EcalH5MI86daFt0mzInvkdCgV9OKZEens402nZ0YH9Zf93OkHFPfVPiOVi9yc6zyd3/Z2vTuaPyZcHO4TBpENP5rum0efYxC5kRPjgd0ri8xYlozDYcHhuJqX7uaAZYkFtKHWHWgF+75h2844n884n0/+fMb5vGHbNmzbjrIXlLKjlmbFIkVgnKzJ047IITFBhlBYUgmasM9LPeoY40B6e4Qhow6MxRkaUegwvuPN8qnt97/qRsygdaqKnsiptOqgiACPwhLB+zldidWEmAQAAToTtsGFJvzRk58xgNQ8B14gvKsFe3rtMyTIAVF1RNs8obySwOqTJMvncOBjalPa1a2ekSquD6nToa/X+QsYMp2xjnnYfja7Wjv8cYEUAaiBsIPohCYFRSz6I9KgtZnyK6RDZ3PUOt1MjZLK6tHYiMx2Y9sj+HNkgIaaZ39gUNIi/yj6dnxmBrbn1bAnErOAkgBZPGLTAI65tQ0dFadbrWvGemCommFLcCaICKS2XlCZAhWSgpqCarKoDjcsC2NZGXmx2lJ5IaQFSEmt/mFWUBLL00x2AZoUmhS/xYq3RPgyE778/ybk3xLorxuFuaqtcaVVNKlWfDOqJvdEzXEPL8bQ3KWndU1g/jvrAJNjpf8A5iRyql9KjCQGDGxtsD4qUz+7nmou/PQOgqAGTsey62OPvJio96Rg95BUlFpsXdfW8xPJaYXLmnHw9fxp27EcFuRkzjDzxbsQlroSHyxak/KCdV1xPKw43hxwd3fA3d0Nbm8PuD0e7d5Vj9qxMSW52v6SpxwmAfJ6wHo8Yj3cYj0ccbi5xe3hBreHI46HBd/1vRn8u+3O8Pb5JuFva/ADDPDjb/omMqF1su+xcxH7xHTVca92jFBDe/b5xfswJeJQHdI8++pYOYcBEtPo7NGWsI/EgZKK5Z+KWiE/EBoYjcwbqVP9HBWxz9lkXRtbAVRRsiSzSL6jYTsT1EO28dxTGWyR8OhSa2ZcWkHANkV8nCrnAKh5ZMrs76DpDWP4Qmo7EIhGa0QzXRnrOgOlAURp3IKL71+soy/fOL8X853SZ9+MfXPIioO6OEGvAxOPyZBX4DnwuUSbvb9ESJ0crMMXAXLFk25hTbsI47M/ME14EjDa5EW70aLTjy+umfpnOj2LCqpWcEsgtrETdDdbKBqS15PIKtZPw1OpTltQjPs+tzCNkWhXxf3iOrvIQY8BIEUjiyhVMuCzqWITwVmkA6CivujAwRICADUogmMdiajo4afIqTMHAgz0s6IVuwetem5bE7R6HZ3t8MajUzKitdH3Payk5LLQAYam8HDUG3uhQ49V9rexzcBl2nHA6Q7E47s0/XAWKLkYz12dI06TOm2BM2NZkhc2tdo+x+Pq3kNApaHUHVoD/BgA2s5ne978s/OObduw78bPr7X1uS4AT2LLZzAAyt2rGQBI3IgLA0DEnEANil78zw3pEHVgZjOCCC6V7pQUmsygGMcTsJzHaAQJLteDlw375+bNxY177x2dX12NMt/Te/pOYvAymQB5krj2NTPmKPG5HO7QMlUy6pRCm2cM/BiJgayQpUoHPoNWG1FCjLmQA4hOi7Fers0xxwngiq4GWBvYqHdKDtSs/leTcOBoL7IoU/+9vCsx6Vw117wWxXk8W5+e342Q7Q43J/W13hyzQgLWBtEC0rNFfrRil2r5lcWEZCRyZP34BmCyU+fYQb5FKbrgQNChEEyW0c5mJGNa7+MhRmUjXzvidQdEwSYQ/7Fbp6mZFdnDIe70i7XKI4vrsuB4MKC9+5orPZ/UcnIAi+xZSyZwEs8raqDGyCthXQh5JQNAWccjKTiLR6EISGp6HMnyFWVhbHeMX/t+wquDCR0INaMbOvAp1eaW1qIOTqB6oCt3xtaVJXi69zrGjNqaNXezIHZ0WqRaUj8nRtKELAJJNh+1ab71JCCALsFXRPuIpvs/U0xiXReX2fb3UQjV8ssqSiuoDvyk141SpMxYJPXDH7cDDuuCnLPZ0hdr/LBfiROWZcHx5ojb21vc3d7g1esFd3dH3N2ueHW7YsmEUzHb1FQDYXlWaqIpSYCswHI84HhzxOH2FsfbOxy/cItDXnH7e1d8b17x3YlRHfS0is+1fVuDnxn4XHu2LT8CvoDBUpqdj6s0vDAXy8K0UPV99D2iz27X095swimFB+jqXINnTy//HnDpv6CqqS0yrKYAZwaVpdoJjJMvRGgMy8mQUUCSCWgMJCE0tnCuGQQ2oanXMopzHgBI0YMVBCQiNxrMKBQx73dxSlxMFLUG3c0Wv+4tnw2mOQI0DZhrjBPGYv/O+1f+z7/p5Uu6+uyTfmOTsCWOhHfbE0d8RxP4CWvIF54OfCavj9Hj4N6uADxBC7MD9130Y2BEG71tZOpPEQ3SINeTTPeBxgz17BrDxBnAxyI/DSQMkgqt9tMqRoELEJSgWAKs+Q2VbiQHiBpREMXVOjJHZidDZ5hxZrgGfa6RCRjssIjPSe35LIJdHJyr5QZE5KfCKBSZ1eggMMoOEZwSOO61ilMxPGcncmAuhD1aAB+MNtURM0P31uq4UHKgwEF5HWTDC+PqPYbVew3YT9l0enan/iW3K9Cfwryw5POmRw1Z4to8eqg0s3k77rH+bIZYEoUktsVzTTisK47HA25uDhb5Wa1ujIiglB1t37FtJkm8bWecTmecTycDQecN237Gtu8Ofkx8ozXL90ke0aZIvPaoT4CfeJZmeSMEtiigU4Ztrpbu6WUAQqb2BBaoWC6XKMAyIpPzXSEM+2Ruc/I/vH+KiV+/kCTxni2GdjBiopDlDH5izrTuFDl+E2CLozOD1iX2PF1Js+sUdTEDK8QY1ybTL6Du9W1wegujFvJxAgdAMe/HJDao5v2SFSMiGwAoIqQTmIuoTYOv+aK9HIQZ+9qNflF3xEUf8KiP4AWn5gubXr978Tcvr+bhOCU/Vq+vA3IJZ4aIFQJWqRDdUaU4+GnQYsAnEuHNdLiis/EAP+TMBOY0RX3cYPZkeEsNMgBj9ZyMsprI8/RILNuTqNsDPZ+0PxtNySI+FZphwVc3HIgaXGDN2mKx9jkeMu5urK+x99lWC6QRWomoTxrRVyhYjCpXM4NbQnbgs2TL50kOgDgD5ADIoj/NZK5ZTCH0uwn4DgY+MIT2/wiwqUBRPTpYUUpBbSbOIaFmOk/fMt3ncHTGejs5UAUEUh39EzCwARu7CQqwlcNlIrAkcGpgTUiiyItCG0Ok2d9U0NhTOIj6cy/1E73KI3mRiGSOWsvNCXVSgEbuqpJNIlVRC6N48eguSMWKlAkLsp1vTng6b1jXBWnJPZBgjO5YHwzEckpYlyOOt7e4e/UKr1/f4fXtgld3GXe3C37v3Yo1A798NpphRH5yZmQhVAEWAYoS1tsVN69ucfPqDjdffoUPfu8rfJdmrJrw5ZZRNkb1eUXK51sjv63BDzCM49luCFMOMHUqIqs7YDcMFzS4C6nXDnv8b4rhjZ32H08XwGg2oKYJMQxSwrxwzmxwdE9iTPPixhT77y051xMBwUZ5Y8+DCHGCkJmuVm9DHPwIGwAKezwnRp5srctHeIHMS6FuIFQYxUGCNz3V8KkTFWiWtG6+SofRix7xuYoAhUF2BXN0eqFhZHqDXiT36nNz4dnCppf7e+Hl1bv5S/a60958fumP2V7p9I0BfIIIHID7oq/0XqTdeCYN3i78WNRzaeB9IU6rh9URhsEAGNHRO/UwOL/90FOrBWC7ukfNwh9AK91gmGlvTZoBn7jUuBqdge8c7evmy0Shurx76sDQalvYe+kPdTHTy8jPySM/RWCRH/G+6+BHNLSqzO/MFIpkAUq13wMEhbTBlersO5HPJk1Rm3ajdr43naJCk6Kht5tCvR9Yhx8e+nigG6nPZN9/m1Gf3k3crgxa7dX6+cLdGL8PjCex4LE7RALU+Y/7+kvGyV+WjHXNOBwX3NxYQdMcvHFxo2PfsO9nbE59u4j6bDv2rWDfduy7oBQZnlkfD5HrYJQR6jRECuNQxAAnAQiqFk2zfXdhis3CE2cfBHeYmdHS1wRET/5WbvSe13h5etLLP4yPY2R9cr8xRcMwAbyNpNp1OUg3TOjOh+bjowHaXP1QgNYYIqOA7KDaso99j6D167LHxbLr1ML+lckIhgO4+Fh6RzZDXhu7SKbPn26cRh6guAPGDNABfMbIe97W4w6/r/Hft+nF+U8z/NTfYN51NTlg0h2ixUUPBEUbpDaT4tagKgVVnTzyk0FSHMwE1S2BOCHocfDvx7j0VB5nLgQxYUR8ErmkjCc2svM/e00v9vIhQXdjeOSHuiNQAc9f9fZNDYBiXTKOh9XunwtNtJJQKyNnc/wioj4MMCVws8gPcQOYsSwuYLAQcgZy9ujPokhJTHEuMSgDlBs0CSQ16P/Fdo6S+okpmv2bIj97Kc5oMdpbpBMAMCdZ9BWeXkfn7XO6XMy3huF9jvS+yYDNJQRXP7XITziIRVtnEDATWuQdTUcFMKJ4HMDWAVKaqI8SdqZHfPxCRMSov02RK3nUp1p/c5ZCSmbkcLIxczwesDrtLWS2AyBGkEwBMFuezvF4xO3dHV69emXA5y7j9W3Gl24zsAr+P6T4OhH+B6mJDzWL6FZRJFEkBY43B9zeHvHqy7f4ge97hS++e4WjMhqAMxhVxxj+Py7yMy8/MwB68fvqrOOZ7xahxJfWCXr548nmfHl56RyISEqnsS+KKXBwoPvn7mW2h3nMyB9QAM2kaIXZoj7EELZITCis1Wqdu3riXkhpqhc7S9z8s4Qwcm2+drAVwMcN9kYjYC/OR7ZjOQVqru8zGYhRowA9CtCb5Flrxj37NBPvGvRE2710u1/07H1GS+X5ghcJm86PZ52AT5z4lDjejeoBfEDzQhj7HsBnRmghOW0Ggg6v4VitHQhNRi0ujVSdPpyBxzguxus+aOLszD8qGsaQUchUtYOe5pEfAN3rJD6xS+xFJ9ZAPCbgF0BptFtcmJ8Hjd81qEVwPOdnh+X4nD3npyhQ1KXafe8RW2lkuULsdI5uBBCgFwjA7oVReRTURvM0z2eLPj7uw5wtGNEe54vHzZjAgSnCKUY7j/vyLc/5ed8WABrobX1pKF9Y1/0c+yV5n9LohLMZ6QtyApknL7OBn8OC43HFui7IyXyRTRrKvhn42TYDP/uOfd+xl2LGSHUa0OSV1ADcNDyeNte5Wh0bzYMjAgQAyeo+mca5QniAm05I8j7BBOeomNHeAMshnQoyR8T2Ww1//qduxFAe4Mf91X5/CRElCc0dUcByo30MOA3OxgVBihlBPd/HBXJ6BXpTCukebFU3lO3w3fYFxhJ6Mb5Ip57p91UApsiVBGzONKM/HDABeHq+D7RPuXH3X1p9vuk7q8/fjri6vaagWqrApIR3COoQYgiA7wvjsDdCrjoBbEnjzOHQGTk90YDWxY3OSeSREfYcHhjdDRQ1ESegRJ534/W8wOIlG8giPanZOpgAzQakkXztYgyvUM/5WXBzc+hOIRFFLTtqzShrMWObGS0RcrXIcRFjYtZGWBohL4TjccHhmJDXhLwy0uLqczlAnXSHo1HzCKICdgDO7ugTWD5rBz61YK+1gx8JHuf77m/vLh3SXrwHFF2YNfpbrI9hX7HJehvtzcZR9vlKG9la1FyWZVqzrszX7nAiNsd1lM4wADzGQA/ydyqlrdSlAaUa7a84q0OcUpw8gk/EBn7WED2YirP6MhdOBjCDU8ZyOODm5ga3d3e4uUm4uWH8nmNC/Q6G/G7B4f8n+AFRvFMvPs6WM5zE6PNJCcfDitvbA77rBw/47qcjnu6PeASgbH3alFUd0LXPN2K/rcHPMOyA2Qy29fw9yOXTtrljYXS0/qerfdpYGhONzh51DWMv8otGz50nXI2FFwKmbBxbBtAU5NKXoTkdCdZSTSawEqFVU4kpVVCqGaShnMFOLwgKSKiWEqaFJzwTGNfMxvbo6ieZLWeoCaEmAtfwxE186k5tC+9aLKSTcT/b4O/bnlnys7H5Kb/9tO2b/L21h9/b4DQPjGK7vugsY7kKm37erqfMfnKBhwAf3FOuDl0ZC9MR6IqPE8GcfjD/raUw+ILv9BJnh2NGG+bNiYSY5op/Vs9D0cw7xPb3ADVClo8WIf5uzKsfkSK+Odk5NC67L9C+1+hf4qCmilrhUzVqW4MlY8diElGyUXPBq45TiInEjVKAZAh5dEpaeM3iBsWiFcZ/GMlmyMwpXwyYChZL55dFDSMFouxCvynq7a0d7I1e8a3bgspkLWn2pU7gR0FO0NeYxSbjhNUTxJU9msLTkAwj8jKqB6grR6KLdYSn2drV+lCTiloLSgHKHiBnRHSYGDkvWJYVh+MNbsQTm6khpWb1VBpZTZKUzPiDjD4MCVzXgVIKYZJkSfiaCC0xghIc/ZfYq2M0E88h6/FmzHskpI+vT51PxiQxVqj3/DDUL5kHTfp6b767EP8kGKaIO239ciD6T+pR6stKbM2arc8/XaygAdLYczQ8Klrhksyw+nClQarVVGp1UJ+1j/RRAJd5Wifjlk2No4GpARs4Y4WdXtvbsVSYRUo0rz2ze0Gv6LbjNvS5eCCuC/v2E2/xS398sdGpg5hYf5/vSPo/i5TZYxi5QYxOfdYGrkA8TZ0CmDqMWEY5sVHBKJgojCjA03OB4yeJTdTAufzKttYzGZC1czAivpIXG3WlSwM9BM0OfpYDjuuN3Qshc57uBaU0rLUiJ4VYEnPPU22tokpxmnVBysCrV0e8Oh5ws65Y0gE5IhyqJu4EWP/M5Kp6LoJCDGyE9qt2reUjxb4ryi4WUd4956dFAffnC3YI3LODq+tSKUG7BEI0Qp0EMpwkxiIeVMyYd5nMWUSUTEVPBDkRsgjyFP3TWPjJRB44KHEZ3d6D5yQzaY/WOn+5OwTQ521BK4R9rzhvFU9POx4eNxyXxeffjJwY37EkPKWMlTOWtGDNGUvOvf+JK9WVmMe1+UB2RwfZmvK1WvGD9wT854a0VXzUGoqDzJgljTptztTEgKn4VRDtIDo7HVN6n4y+zvg/qM5P924DnZ7WJUivQQpe+jyMgCn6c2WHxEQw/6zjmP6H+H1M0XS1j5ikxoddqhK+mDI8nG1hbCQCagOKaVWpGu0NLmxgTjeLzFTPwylNsFdTtbkGbyK5L9px2smT9sf3ppRUGqIHoakf4CfxyPdT0R71uVB56wuZt/EEguaoxMUSc2FNjMhR//zi+ZO3GYeMPvLCF+d9Xdy2y47AzEga986tj6mBexJ0tEvvbHpx4HnhHp/aZBTFUsMgjjyLEOeICFLYNsagIqcwDRCifv96y3otKA3jACPbTYMr3z+Jz90IVnHA1ONB1h/dY+j+Q8tB81/LfB4dBAXwmY9zCSYwAR/7s3tsYYtu1SFqUGGRIMsFomAehGO/RwPYa2BE7Zq4N+a5Nyin0J6wS12kYtybHmUMDjxJH1/hXDDvm47EGo/wKLkR6ODHVa/jyjGqzXymbj1tdNnHn20aLelX7HGKCahYE8vFXeknebVI2ksDQOJ5FtaOlhisJOiLvt/HruJzQc2w3xjlDdhIUMvunPPWjQ5mK2h3WBVCBKWEJQtSqlhKQ2JBaWo5aVEkVPzaLgxauzeJY3I3E8aELSwyZeAuqhqRU6TUBRFMNdA6Veyf+nxmDq/5zj03mmicjb3Sy/vd4xl9/TKnRx8GiB/G7+elzClh/bMuG3OxnL20iZpXPb4tYEDC7RDAh3oepzRy0ONRnqaWCygCqeQiNyFta3PLyN9xGhYDJFPOAqFHfwPA6GgY+0pHRnqpUOifyvQDiqRbxDgfS013RUw7oem4872b84xeWEowffFTt2EvxHuabIXrq5nG3dR/Ry0XgoEOe4TxGeMOEKdYawdF5n2oUGZfQwb4UU7Of3MbhLMZz0SgJCCONiQHZS5j32l1AtKKhGS5Q553g2w5lUjWYl/6jgO+/F23UAW+9lV08LO7gIkqYJLzdn1QeO6NR8NaBTNMOOWYcTwsWPPidoi3WVDumZAaw5KdGYQEOQP6i4A+KVQJ5VFRNsG+NZStYt8L9r2iFlf1lBEdjPZHzJNxLyak2HGQG0b23vPk/BxFTUzFnHk6pBLY7ySxzZfKyKpoixVlXdUo6OIS7UGLo2x0RE5ixVMjOhTrGPnM08TXolmdVJw+KqgE7HvF6bTj8XHDu3cnHNKC49HG8HrM+AInfC0lLDljXRKWJWPJqTtgVBXVqYMliqB7Q5hKrkX63zVgexS8poavl4b/1hqqxJzttZXUC50ieRBPYKqIZyR2e8Ltj157AkCi7dMH47R9W4MfdIM6JhjPa4iOqDHBRIckXFiF8MmNwkDzb/eOHO9ptnP76wAzw/MyTVD+pXHs+UxwkdMAhRtcPtm5AdblWHUk7aoKtLnqjVaIEmob4KdUcbWriVDTUb4lBwcdLic2WUEHOPMCyyCALWScE1sRVmYkFgNNYde7spvIyPlR6EWi7wVI7fZJX/H66qRxQ/rT8HfMf/xUI/F6taJo6OlvL65i3cp9tktm6pGfeU0HtOfzgMYZUm+gy33F9+bj22e24F2ens280VZEuCh62nnvgPvg4lKp968wGLpN4CcQ0ur2jgYzK8aUP6tEvMSMBk/BtYnUaWThXZ3Bj8Tx41pngwNTpIHiFnn/xASA/LiiZoAWBchBkBVA1wG0yNolxRFoKOCYBCv3yE8QekhtQbfIEfXIz/Cejm5HfZ5xkIow5u1htRtcmp7sb9Kv3ecYgdGtel+mq6DmZ7CkeiO+bNoqnhvjI+VVfQAGMdEMjuhXCoDD0HfgG9QxiwSaoascoNwX007jgxlRCsshYLlUlXK6DdS8uqUa9DP6S7ECj568T8TIOWNdHdxSRqIGThXbVkEkyKVBu6Ed/fVyDIXJAph8P8PVwcRkZlOzvEhNVlmdSE1JjIYzwsMbljcHBQn1fV9TcTsdELbejHxOW8T7uI2zHJM05l5vIjfTNNEnDnvqugB9AI2cmEsil69dL0yaIoTak4S5P3f/soglpIeITXP1yOo1Pop6tIf656oKqZEPQOgxXjIaDnn+SMyRfT2gMR4upnuNGSUmXaOBq7f31IDj/XStevGsk5M07tnkpX/eRM+XEh3z6vu3sAcu99Gdn33s0vTdmWI1PPzq824vkikD+Fw4rcgvqkd8poRUl4oGNyhVCDGE0MtZRCoMedFSi3573RxOgDY0TxYU9egoJS8AapGhNc6TAcmCtCw2pzr4+e7/a8X3/+ARKorjG8Evl4Zt3bGuBoCYGIkZmTMyJzDYDX5XsJUKJsISIiqLFVw1p5JJNItUL8lBEEne/7Jd3NcUenJgU4GyK+reUHZB2Rv2raLuBbUFbdPmFZ+MRlt3Z/FkU9L4G7qSbvTJmA8i78adOap9vQRZ3SKjMZJR4GLdI2NgVGkorYAUqM1OjJMDn2TKbBZZZ4Cbz+k0chQpKJ/mHLe0BGtbAz+C7VzxdCp4eNhxWDYAlkeZVsKHTEhLQs7jseaE0pxKCPHixg5+1KNeAcRgAK6I4r/sDV9kwTeqgVrx3MGwcax3M7ILcpgVXMF0BicfeyQAmkW0grVE/wdFfoBpyoqJsc9qeMk2+OTtcj6yj7yzO5DundWQ+gA+3Cf3AYDYvY3dlg4jGbigSCkAVN+pR32UzVNNCqA1aHUTVBSqzeQ7IagOfmoT7FWxtTYUbnTwMG2SHxGczIBkxZI8iO6LtA1sj+zIDJSsbtCI/LjBoxEmlk4JUQm6QRhbk5FwuRq9vOkLj4vG+p+/WTX7DgMcXOi4j/126ov97v3pHNcXKAhk6SaCGU+k6HlFgSriq+4lZj8vHwnoKjRsoDnsEBXqfVFBk8LgGDvh6QeoUwpAw4PUw84+ICJjgMIrHobjZAKEilCMnwBA6smiHRT4cxiXokZzS2qGT5kBEDnIwKDTDEAy0d7ckRA4LORFWhhEHnHtXvpo54h6XNwrp+cRXBLZ+keP9ETya3ig2XIfQnpfFO5ht73JSx3mW7J1E93fz/QJBwli1AESArEpYpIYnQKK4dS4kjYVUQhrX0iFx/VGN51pb+zUN5Al9DbxauDSzOio1Wr3OPXLBAwW6JpAeUFeG3I2qgSnAuaGlKoJrtSGVgS1U4XMkLcW5uHEUrZrJQMyEILm5P3cOPqjPpkbpOr90vNaSMkBnFPGPnU+ov7/oIAB8w/7KwedFKj6k/botGTx15fnMY5JuP7b2ERMVvZ9mzY2x1Yjp7i54qfAIj/Var6ZQEiyKJAKVNIkejDWZXJjjNRMdx0Dy6XEY52I1/DpgKdm87XMjSu4Edn3g/6j/pO+5k7N04M98/D4hLaK/YTvtENsff6dCaP6i7Hu0/T5cyGT7lrqzgVAEUFLQii5ma3B0b7dcRoPTM9wyhsBVHuEW1mgyeY9LACy359EVieHAV4EIAMCcABcGyxCSBWC5BRL5x2w2DjPCl3RnSoAsJUjTudbgIAv/hDw6v9uOHt+31oKcspYlwVryljygpyysQ6C7aLN5wWAkxc3pSjHUCwa4naIen0plQxoBj1k6G+oFesuQC2Cchbsm2LfDPjsHoUSIbQWkV2e7mGsKb52zpGfWIPJ7qkVeLZ5JJyaBtAcxnvkx+ozue0IMrU67y+GNd0OVMVed3BTUBWnb3r+loMeys2ZB1YHKvK1RDABBHdOB6AM56YC+17wdCp4fNjw7uaMdVn8nhygN0DjhJQWrGnx6M+CdVmgqAjaW20VXNgozNI8EEET7U1QS8OjFpzQurJqJAYTnLJLVquIELZmA6i4SIflJRIJQM3X4Yj8lPcP3he2b2vwo8/exYQ0oZdvdrvu1y+999cBctiNp9BxZ1f0AOaJbp4ZJ0MLCrVqlo7UbZCgKVQqtCWwyBQYnoxWXO46jJPqqmtNFOfUsOSGdSEDPEw4mBUPghVMS+zvfT9h8LNHfHJitKa90rPZ3C/n+3SsEwYtXgBAn2ebfnN9a1+61Z/5EJ+xn1g7a/8fmOwTurLz/QwGlejZn54dd5jCl38KIEEa0ZLgvKH3oeiP5rl2Lnd00J7Hw32SCU9VJAn3atHzz8J68Il29NFpkeVhSMerBlgOjaIDAeM0aG8zwpSjMOWagQatJYw2WwQG7Q0y8n1iMQmQF+cfL0Ywc0S5nF/hTwOkdy9Vv8t+vWHq+L44HNkMjyx5VJDHudr10cV97DaWG25zLxk0qN/upPW+bXi1zV7U/ilTcPrtPOK64ec6wMSU89Ot0nH/4x7HPTXnkMI8dCOxu0nrAi4kgDKjlYpWjPZmxrSdKTGDlJHIcgpqI+QGLKJomSZhFY/laSQqv2DNvjQP+diJhHGwkwPJIjSayHJdWEfhVlgkhPz6+lyJ7ryM/+zzycANI733+Ti1awP8m9iMjjO9p9GvRsRXL44jAtRPcJaqqkd8gs6skOIPl3yXCq+L5YCy54fNYMMGF0X0XG3M9nxyHfdEp3DX8yiQUZYIZBE+7RDe+iChR2aih0fr2N/6N6em8j/os1v37J6M2NrVmvvSvZt2Fgbt+M1wsowlwhTGRF1JsxWjeznR2PIeXI0QDuSRLMG/CxZot1u69Ka/DtECkEC5WfSWLAcIydZ/SQQs8Do5GbrYMbVYyYsKB74a8XmBFTuwRmAAkkx8AEmnvCIyYYNqUtd3tyu+84tHPGx7p7zlnHBYVqx5wWFZsKTsQNouy8Y1MHKgbG6qUlEbsAkANFR4/gx5FOk7V3z5sOA37xraCdZvd0HZgLoJahHU4rULqytBNu6gvS/udNmjpqQ0hHOSbDEwB6RHO+YcgPGLWLv8XhI8R5stJ9ujbz2/gICtErgIuDRQSWBRpGxAkBMh5ev7bg4/bmpgtrkDgtRrarkjAnYshTnRt73hdC44nQpubzwqo0BzGfUlMZaccPDIjzjvTWE0xVIKSq0mWuOPbd8gXCGpQLih1WIgJjCZTxZCFnFXUCywfW44ccMDA4ckIBJbt9BAHK+tlMXn2b6twc/lRtPjpffv365tUb16XKwZ3qfnidIB7tWOgmoWHnbEHHx5sD73Ouiw3m9/UvepMECpAsviRsrkQVOAmoCbIDVFaiZ6UKqAq2AvDaqWM1SbYtsFTKYJKE2hB5MtzNkGwnVzRb2fzIzGCslqNDjmrpxynfzcPXPzqqBXz9evX3r/GbZvubl4vUM3XgRRJ8I+szE7Bv6LO1KYWh+iF0zHeNY1r41lQqfMBU1Gpx8GniAAPqER4Io8GIuec+8pOmkjo4GF7RoLtNO4x2KJPpF2X0Is4GQLW0Q/bXyok3qkT+xhvIzrGsYye54PTZfpu/YJcQAy9f1V94bWKALnoIQ1epp2I4nMqgUiy1kvz2Kmgflagf6TvuA5pU9HxCiceabSAzPoEoETXJ0RHj2BR8z0osbVrII4NYlf+2/TAv4Wb3HNlrOkQ/RAAE2eFxTFgIYWLIbpaQqRVj9jx76fkTKGYiUDmQlSpdfuMWniKJbsCpbitcVKtcTkvVmkqFWvN2aKcK0WjxzxdC408fe1171qrbmqkQOm6Juq/fvqgI7ZVDY5xZWJ03p53EsNgYUpDNOXIh9jGv3Z6JZuP3aVTfde9O+//65cb8OQHoec9sFxjld7agZkbDN3gvYYroW/pJjYiVSx+lfVftOaGZJSvSuLtXso4s3rpUXLpKdkWdQHPo1pHwPXYKc/T/Ngd6bRyIccOTIYhuY8lq7WnDjmRbTZf3vRRNP8GK9edFD0633/vaHLt33eHnPijoYzipxxamec9wVb23FuO6rsaLoDVPt9AolH6smpVj5fsvbcRQrQGVE38ijBlDMhqUK8H1eMDEQrG7uATCPT5uCkHlFRaArmg5iTYHpogkWVQB6EXTDi7oAsjN/94YKH8gopLTgebpET43VOWFLG999lrFacEKgAzm5PqAJoNhfFWtM2/EoFHhpwqhWlMpYDYz1kfHCz4rs/PODDZQXfFfzq1wBUQd2AchKUs6JtilYEUsUVJa0Pi1juCVQN0IhRBD2IDFOOc6cQjKYlHsMPYQQBrnrLRE3HcCup3TCL5jEhL4y8sivaJVACzoVwKIpzIZx2oAgb7dqV3YwORjCdbwaQochGA2/NlIIXQapAcod3ALQ1MY7HBXkxB1BpFdtust/ijJHKhONCWBfGMScc14ybw2KzRbP70ZpAtOB8PuPx6RHv3r7BYUkAFRyyYM0N66I4ZKdEO9eagT4BajJKvbDbNAXIBTg1wSkzbhcBc8NOgm9wxW+xrz8A/vv6wvD7hO1/E/Dz8mJxCWqeWbU+FHtWTp/YJvziBpoOQwC2sMxz5vh6XxojrdYPFV4AQzqdXtSpQX5Q9qFDIzU8tPY1mzZ6T3BXgJWQxMBPmh5bbeC9AtS82raZpYbsAah29Tfy3B9Rulww/QLDM5qYsCSr27AkRqIeg4i1/5LGQBgL1dQ200oxjnP9/ur1++/h+7ZpiZqbHsPmfGlX195TYNgho0je+PFlOg89M/QD9ITRM4OeDlDwvJ92+uH0yvZNfcHrfbHv1wyCDiac3gCKuYHQV7Ggpgk6aAqmDTsIivMzL9Z8DPTjzFjZOMwGToYpObXOFP3ptprTxHpbRNRRJxDk3sPmJyxKpi4YlhKG73eyluKkMEJQwzyZfcO9n/u9Hq6Ky14nUSgw/srD6xYP8vw3806rUcpEwo7stKF+5lOexkVPemb8ftZ+f73R1fNogTAgL4ztETbzQM6I6EVnH5Hd4dzorana83/skA0iBkpK2bFtxtluycGPP2v1uiZR26SLqBhAKU2wt4Z9b16FvaCW5sCnOAhy2pwrFI6phzqggY4otRXmlIt+NCYH7QZ1bBb5GaDKqI3NjBhFn9PVoxMjrWe0L8cuxfpZz0+dOsCYtwalul9K/O8Xp9N35x3Qs8/n/jwOpt4GtrnLQjyXDwJtDVrtOwZ80EGpFvjnTr3yMWa5PtZfLiikUAOPHvFRQXfCxBhV6MgVVTyPAs2fU4Ad6n0y5gC9aqeLy+5/1+Hdj3MH9T4/fjONoee3C/EhTd+9glDTrYlxhj6X2iUKFAWiZ1Q94dTOeCgZu1TssqHqBtECsdgLLAKE3r8oGCYEq3VDQK/z46DHIgsOklyVUrkaHZiq10HzOdTHtjnSTcymklPoiUw4AeRUV4vKCtdeeD3qspG/NvAzLKzWEvgrR/y/vjPj6791NOcsGF9226f8Lsa+eEc+KfSjmFPCxdb681IIv/c3FO9qw8cl4+u1Ii8Jv+u44Ad+YEH94IBSDviSEn5TBada0DagnBR1U7QdaEVdwn0avz7HxR0XKFhdNMf7tnj/IzLgw5dk7qknXC72Cm8fhRcpJwzww0YrOyQcbxMONxnpQDjvhHVXrDuwFMFWxxrsP4fl63mOExIUGaSWgye1oRb0CFHy+Syx5VEdb1bkJZmdWF21zesdASYi8b2J8Z+XhMOacVhNdKK2hoKG0qIMCnA+n/H0+Ij7w4KcCKo7jitwPBIOK+H2YM52diU+VuMzgdRAM4nJpieAK0yE4leAt79X8B0L8MCC/8wVW6poqUEc/JyW2en16dv/BuAnJhzq72Zf+2ys4mIITpMRZqrLMDZng9ltswsDOhKf5+/HJjpSSH1aNWNvpuT5Qcc6Sb4ghOfarNGUE7SJhS69b7CammQN8CPawY8BH4ZI8XCu0VVqU8D59qXZRJhTwmGN8/Izjgv2lmGvoaHJ/rSwIPuESv79qKUwbInnC9AzZ9y8Rly/fmH9+ESH6OU3L471wrr/HntS3/M5ICpokyQjMEL6c6+7NmQuHvO9d5tIMYz8cQrxevq1jh+SjoUYhNF3I2eMYBQeQs8BQhxnyvvp8ssIr6H16QA/c8SnA5+L6NA8Tjy6AcdYGi0S/Hz1NhoLWbcLY6AQXeKjyfCzOkNWgbypCy/4KfWoqxuwvXZVUO7UjS1CP7612ehoBL/+MEyjVZUAr5/Q7ScCkCxJlRKDs+f3ea4biRlRFMDHec3aMCI/o1M879f0+SbxT9+uJpxPHFyEefGmMEzdKOhu/X5P4c0eQhCxb6fYSDWp2rJh3zdwNv64JIakBElGydAqkNaMPtWcn9/EF2J77F6LovZnS5jtUaBWOz2mzy9hbEQRZrX7EZdhTFBb4O2yrAd340etn7PPy/BvmnLSmGe8mzj1cVpL3HOggHk0BZ3GGs3stvw0N9AwZqfoOvpZDgZrz+uLseQLSleNi4ivYtyv6A2iaF4aoZNIe30TgRSFeg03FaO6dYpzmSL9Erk91HPZ+sIGAC6qAUGX4Y1r0rAEHXwgonTw04jXijEHKhB1iHpf1P5VhPH+fH3xuQDz38d8cbEm9flrHLev9tPcdjkBq89JdLGjiQCNmGtjf9r/Vaie0fSEXU54rBlVG0o7o8kZggLAHJpxdIr+FQ6ryLEjWJSHoi9FDaAhnEBkdXsst9jqpzF8QfDOpWJ5KRWEljzfLwAOLPStHh0XMupco6ESSxR5p2PpAABpGVsjMB3wpe/MUEqoQnh0x1bdCXWzQaHcoB/WXtdFUA0sqQHBAxGO39lw8z8qXr/b8X1ngq4J6Qczzl9aUMoBUg94pYpFKlAZsgH1rKibGdY9gimX4F37zdae42sfGrWNfd22ZZUNIEE79fna4Bi0eRvFTRXJKYRmHzKYEpZlwfGYcfcq4eZVxuGYcCrAsgnypkilYS3sXXOehxmCBXBKpGoCmlFX265WKiB7/nZOWDMj5+QCEgtSZoAUpTXstVh9NQ/XykKQkrDkhHUZkZ+9FKgKqueG1tawbWc8PmYsCwPUIO2Mm2PG7a3V+mlikT0Ge9ZYQorczARnrCggQKqEWoH6VvGNt4rvumn4ZRZsuaFIRflvDfVkTKby658PzvxvAH6AC4vywnq9fv/yNq87ev0c89u14eyL1pgRp9cwg0bUgzkTKiK6PN7lJfgKRnZgUjYGXCQBSzwUSSzhNglAIsjNHyIgVy5qTbEV00gXURQVNFLsRV3hjXFYF9Tq3ksPepMf38A4uXKTGYKUGTlx9yJZGw2jU2Mx6Y33voa9eo7XL9hl/9O2l7qKfxa0N2AyMjroue5z0/86vtmd7GHYTFjTnilWVoTcp2Wn0kUf6q99wQ15TUtkHYBCecp1jAnWj6eEzrn3yL7hphnczJfpFz6DEqIJQiic9jZFNibPLc033MM6F54ruvxzz1Wa4Ir10QloDzNr0CJmj71oX7z6wEOMvzCAHJB50zPH1+3Cu5c97hU5DZVhCjuJwdkAEFUzHJRMQBtCXoxILQk3clTids68/Lkj/C+yxX10RhPUFc+E7TpAHslKc6xvMvpUvIL6iPwQKyQnaEoQzgZ+FEBVy6Z2RUtxw7zWhlKaSaiWhlIqavEiuw58Wo3n0sGPTBdhNSh0Uqa8BAqXs7+4gQ+M0gAEsAnDEJOZN2QGv8BqjNhObS+sCqXp5gZy1lA7M3Alg/dyRXt7/6r1SV0kaMt9PiCPZIhRV65rNqootMSH5vqW5gV6YFQgrTKURpuY5LUbJlarZLrl0YRXkzi5DDpSGMCEAAoj+uJPgb3i9Uz9jfkghnhEafqQ137oucTC9OH0t1inJpAY4EjjHG12n+ehsatLi0F9/+T7n+/TvCLEfQnHR1y4JcQ/oekTSjvgXBmChiobmm4Q7FAUu08OgCxaIF5HKwqdxjqT7BjJKE7sxUotQKAIqrRw9VW/oYIR2p3khrzR3nwOTkDTUM0MipJNhpKdFpcATeQFT+HjAL4va98mCbUtkPpdqPIhqtzCpk6GgNHU68UxIPQI0NddjVIh2KD6W1CtEFQcMnB7rNh/sOB2Y9z8Fwa+h7F9mFH2FWVfoXLEAQLSHVoZxWlv9SxoZ5lob8FccPomuK+NltviwDH6yURcs19Zrif3z5/f/2nII4Z8GANMCcxWW+d4XPDqLuP1FxYc7xiHXbGcFWkH0qbYyg5V9BhY1NRSuwH+zM5GAOqiyIuiFsWyZC88nbGuBmRWTshk9MfSmsl+N0uZAAH1uwj0kdHeDsv/v703D7btqO6Df6t7732G+yY9Cb2HQBODJbCwjcEGgeOkYhWKQ2Uylaq4FCIn/pIyEQ4Yl4OHOJMLCztVSTn5MBm+BP8RY1WoAjshxIkiMIRETDJgBLYAg5GCNWCkN957zt7dvb4/1lrdvc+9T+89oQHx9np13t1nnz30sLp7/XpNDeZdi8Wswar3CDGCBoCTzM87OzsakCIhhhWGfhtbWx36oUUfWyTMMGu9hkdv4MnDsxerk1Z8kERuIXg1e4vrhBiBh1vCykcMD0WsvxLQh4gYFPyccqN2PxudF/i59dZb8e53vxt/8Ad/gMVigVe84hX4pV/6JVxzzTX5mtVqhZ/8yZ/EbbfdhvV6jRtvvBG/+qu/iiNHjuRr7r33Xrzuda/DBz7wAezbtw8333wzbr31VjTNY8Fi42ViL2CxKWcbTqm/77p4A+DwxkNlkhuvUhn/MOV1zABQJaaNcFI53ljxskmK/JbNgHSDLgfcSgxOkoyMkmiHDPiEwJiFJNHYLEN6irKDk1hi7QdLjsroQ2X7DgCaCThobiHLbp/UFMJCW5sZyeakL+3Ju4+/USHvbHj2MT/+zA8u+VGKLG33mKIb9UKuv1Auz7jXx11twooxGhVtUCWw54P8fhWURpF9kJ33K9VjWWupKonDuK3MDK2S20YAaPSb8rFpa+rn2rVZsNfnbpq5VQCrKB4IKHKkFt/alJG0jY1L8y6qvb+WUGg3IzBQaaI25gFCpZ2j+mQpECVYNnNyrnyIkCMuwQaqaemovIg3Hrsxf0ihNsp97irPRyWbeTYfl8O2Vuf2mkfLL3tTHt6V4aNoBjSyj2pPXZQ+IMegpCA/RGDQ8MnqtxhCytnWs7bdxgfMLMyYp+yhS4RA5ZJUgZ8qFxlBzIXgaBSUYFxPaYX8syOZc50KiU7C0sr6IIJD1obUJoRaRANdpXttDGnskEoDav1RXZqLxdVvskS4fI3NLM65HDb80TosxUrzYzmboi4yGnxC6qSBKJgra23KPhCZ3O71bW8qc1sGHMxIWSuEohWC/M2ghJGDYrAVfYRMypxhoMTqy7qYc34p8qadqY/qR8kFpNdVWq38qrImGA+SaQ/yr7tmfBQ/HG0kSpCQAitE7GBIXkRqHsA8oACfAEKsNo1cDulvQZYEbxMsRK1EIGPAJZ26WXlNRHHTVSRRU0Nj8YEV9rACoOQguWX0TpjZGwB2rOAnKYySecWgtXNrtG4bAOBpJhsH5JDiPoQ4IILERB8aip6EL9nPwdQA7qSamvaaeFly3gwuoecEjwS3j4BrAZ4R4kCIySGyJIS1PIlxSJLQc6W+g6oZgQaSYlg0vVL2HGa8WrdqKwtr+83cP8b9VMGcmmvKh/IH0MAH3qPrPGYzh8XCA00Dbhpw38J1Ed0g4eUjM4JG2k1MSOyR45cr+OFIGi3Yw7uEbtZgPm+wmHfo5gKCGnbwwiJomdAsxN/IN5J7SLThjMYR2tZh3jVYzjus1gOGkLDuSec42ZiSzS6AXBSAjgByHeACnE8IsYGHR0MNGmrg4MWXnD184+HJwaey0cERSPcDDx5ixK8nDF9JWK8i1r1sfAHA0Kva6BzpvNDGBz/4Qdxyyy34nu/5HoQQ8LM/+7N41atehc997nPY2toCAPzET/wE/ut//a9417vehYMHD+L1r389fuiHfgj/+3//bwBAjBGvfvWrcfToUfyf//N/cP/99+Nv/I2/gbZt8Yu/+IvnU5yzUg16TDDa/LtJtjjV8qqds4VKRQi7QwdN8dOx81z9Rpm57Z4ifO1RiurQIn1hNPhU/swBCWRGIrHlZY8006SmEA2PhR+Mg0RcSkmsfEMC+pCwsw5FEM1F4Cw4xJgQg6g1d1ZB7O/7qAnBUnbsljVkNxDi0QK0R0ftWnGeAtpL4tslfZztAdAF1Eyn5N5sWFm/Y7weFt5JKjCn/Ljx47mYUea+chhpbTgvjhblBWIKZwuzCjJ541Z5y5GyUWV6k/nNJB2CgIesxlS+VyBkIlcGOmoHlAEQeNwGZZ2Q5xkoqwewCi356VSac9SmrgCYIhsX7U4WbvKji2ZpFOGnXsg2fJWKBWJZ6Ow5pTBlLhjJ6CTtaFZCe+OauoTnwnfnQ1Y2eY8J/mXRPjOZRYxor3Tjg3T8k4hP8pu2qDGXRvoi59VJWJ4ROYpWIsjuK/cD0qChq5Mog6LuznvnJR9PUxqRNAIBqT8VR8lxljRKQ1TBfRyJUgR5qIlP5hXs3guw1jJ+szHgkg5PJ2KiCeMiv9PI5+1c9nlkWG0Ix9bmmyWhqhdJ3MjHOUdQEi06BzZwwxjLX4B0ZuXzwxINoiCP3OE83pDQuYpsDiACyW6Alrz0sZjDFhhAFoVFXqnndSAzlTyyo7+V1oVF45b3orRzLAeTvFj5TzugaIG4Wn84dxDbtRUgynP4hsa9Bq7jtYyrWwuv1VTaT8G7E60M6ZwAF8DYQUKHwID4uAQkRIjJ2wCJ7BYBb/O6q3x5ZNKXLimTDikgHYvjpoOwSU01kQAQGS4kMfVsCrB2GoFMIZRGjJOx4FqIGYpLYO/A2sfWQn/45VN45KSsK8/5tjmWyx5t/0cS9au/CgPWID4NyfESEfiP4NoE10ZQE+G6CLiAAQGRAxIPCBzhaQXnV0h+wOASsHCgaGam0obOJXiOCMOAdb/GarXCznoHq6HHEKN47jkH8m2JDcLG41TN3+aD7QDv4LzX8OBe+N6CStja4QjE6p+VrPVlgWOFnJs6c/uYGaPzgG8InXNIvgV1jDYCfWwQB8aQJNlzNK2sgR/24ERoHdA0DdqmwWLGGLaAbtFivuiwWHaYLzrM5o10XQQoMXwAll2L5YE5ZvMWz/PA6v4I9BEOwMx7LGct9i0XWPcBQ4hY9S0a1+d1JaWo5skO/dBj3TP8OklIbp8wxBYtvGh9qEELyR3UokVHLRy3os0EQSJIEvi0Q9xm9H/IWO0krFYJO6sBvYKf1aqBxG0/Nzov8PPbv/3bo++/9mu/hksvvRR33XUXvv/7vx/Hjx/Hv//3/x7vfOc78Wf/7J8FALzjHe/AC17wAnzkIx/By1/+cvyP//E/8LnPfQ7/83/+Txw5cgTf9V3fhV/4hV/Am9/8Zvzjf/yP0XXnGbJhT6qBCOnkKQtDVkhy8S+waTnfXQlVtfYmQQQr9dWETScZXFXvtwWs1g5R9f+ZosbsrgmZfFnkPwC2hpCaK4kHHUDkwG2jDr7SBs479L3HEAIGGiSCSgAYDjEx+iFh1cdS8koOYhbtUAzifByGhNV6QL8OGIaY7cHHwKdUqF5UyulNAFR3xLhlaNfB3u00ehrv9X3z5B73mZy7lww4XvnLuRLCaYTfxHHWUm7yqFYELr44RKPHZj8iXXzzzmdVXuGrIpCTCjxiSsW6IwdxbK3LBDODQbYVTswbwrwsUBncqL9LnUU8RybMxS+CvvCqPUcFUTWzkHpXHaALp9S7Hh11g5TLszM9tE91oBbfKwi4soXLUemfrJ4y0cfa2DrODOGKwGBCey4rKiLoHOPAWehLecwV4ENZ6rCcYdZnNqds8lstNMm4t++jgQnsYuLq9+p7ve
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My personal preference is to have imports in cells where they are first used in educational notebooks. This way, someone not familiar with some of the libraries or acronyms (e.g. plotly.graph_objects as go)will not have to scroll up and down, and back up again to look up what it is that you're using. Your way is closer to what one may see in production, but it may be harder to follow for learners. This is not wrong, of course, and, like I said, it's a personal preference, so I'll leave it up to you.


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{"cells":[{"cell_type":"markdown","metadata":{"id":"Z-lBGA1trGZh"},"source":["# **Transfer Learning and Fine-tuning**\n","\n","In this tutorial, we will learn how to classify images into different categories by using transfer learning from a pre-trained network. We have already discussed various pre-trained models and their architectures in the **\"Common Pre-Trained Models\"** section. To recap, a pre-trained model is a saved network that has already been trained on a vast dataset. Transfer learning allows us to use these learned features without having to train a large model from scratch.\n","\n","In this notebook, we will see one of our two previously covered strategies for customizing a pretrained model:\n","\n","**Feature extraction:** Take advantage of the representations that a prior network has learned to extract relevant features from new samples. To use feature maps obtained from a pre-trained model on datasets like [**Imagenet**](https://www.image-net.org/), we can easily add a new trainable classifier on top."]},{"cell_type":"markdown","metadata":{"id":"16QQmZ-zriRx"},"source":["\n","## Set-up environment\n","\n","First, we import the libraries that we'll use: **torchvision** and other helpful libraries. The [**torchvision**](https://pytorch.org/vision/stable/index.html) package consists of popular datasets, model architectures, and common image transformations for computer vision."]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.502241Z","iopub.status.busy":"2024-01-01T22:27:10.501838Z","iopub.status.idle":"2024-01-01T22:27:10.512548Z","shell.execute_reply":"2024-01-01T22:27:10.511287Z","shell.execute_reply.started":"2024-01-01T22:27:10.502208Z"},"id":"2NU0ULaJRX67","outputId":"a9d86225-0a72-4dd3-f871-d236d5f679f0","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["cuda\n"]}],"source":["# General imports\n","import os\n","import time\n","import copy\n","import numpy as np\n","import collections\n","\n","# Plotting imports\n","from PIL import Image\n","import matplotlib.pyplot as plt\n","import plotly.graph_objects as go\n","from plotly.subplots import make_subplots\n","import plotly.express as px\n","\n","# Torch imports\n","import torch\n","import torch.nn as nn\n","import torch.backends.cudnn as cudnn\n","import torch.optim as optim\n","from torch.optim.lr_scheduler import CosineAnnealingLR\n","\n","# Torchvision imports\n","import torchvision\n","from torchvision import datasets, models\n","from torchvision.transforms import v2\n","\n","# Enable CuDNN benchmark mode for improved performance on compatible GPUs\n","cudnn.benchmark = True\n","\n","# Turn on interactive mode for matplotlib\n","plt.ion()\n","\n","# selecting the available device\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","print(device)"]},{"cell_type":"markdown","metadata":{"id":"xG2iGAkKq4cy"},"source":["## Data preprocessing"]},{"cell_type":"markdown","metadata":{"id":"qlFgv5DnIJr2"},"source":["### Data download\n","\n","In this tutorial, we will be working with the well-known **CIFAR10** dataset, which features images of 10 different classes. The CIFAR-10 dataset consists of 60,000 **32x32 colour images**, with 6000 images per class. Our main objective is to train a model that can accurately classify these images. Further details about the dataset will be provided in subsequent sections.\n","\n","**Note**: You can download the data from [**this link**](https://www.cs.toronto.edu/~kriz/cifar.html). The data is available in [**🤗 Face Datasets**](https://huggingface.co/datasets/cifar10) as well. We will use the **torchvision** and **torch.utils.data** packages to load the data. You can learn more about loading images in this [**tutorial**](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)."]},{"cell_type":"markdown","metadata":{"id":"nMeZUupfSeAZ"},"source":["### Data preparation and augmentation\n","\n","Here, we focus on optimizing our dataset for training and validation purposes. To achieve this, we use PyTorch's [**transforms**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#augmentation-transforms) module to implement crucial transformations. For the training set, we employ [**resized transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#resize) and [**Autoaugment transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#autoaugment) techniques to enhance dataset diversity, which in turn promotes better model generalization. Furthermore, we apply **normalization** to pixel values for both training and validation sets, ensuring efficient neural network processing. This comprehensive data preparation step lays a strong foundation for subsequent model training and evaluation."]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:10.515341Z","iopub.status.busy":"2024-01-01T22:27:10.514943Z","iopub.status.idle":"2024-01-01T22:27:10.529807Z","shell.execute_reply":"2024-01-01T22:27:10.528923Z","shell.execute_reply.started":"2024-01-01T22:27:10.515303Z"},"id":"ATO9BaWlG-SH","trusted":true},"outputs":[],"source":["# Hyperparameters\n","batch_size = 128\n","learning_rate = 1e-4"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.531567Z","iopub.status.busy":"2024-01-01T22:27:10.531155Z","iopub.status.idle":"2024-01-01T22:27:10.541219Z","shell.execute_reply":"2024-01-01T22:27:10.540399Z","shell.execute_reply.started":"2024-01-01T22:27:10.531531Z"},"id":"zKmneetndDuQ","outputId":"535d6ea1-2f98-45f6-d859-bf1bba3e1f5f","trusted":true},"outputs":[],"source":["# Classes in CIFAR-10 dataset (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)\n","NUM_CLASSES = 10\n","# Image size for VGG19 (224x224)\n","IMAGE_SIZE = 224\n","\n","mean, std = [0.4914, 0.4822, 0.4465], [0.247, 0.243, 0.261]\n","\n","# Data transformations for training set\n","train_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.AutoAugment(policy=v2.AutoAugmentPolicy.CIFAR10),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])\n","\n","# Data transformations for validation set\n","validation_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.543844Z","iopub.status.busy":"2024-01-01T22:27:10.543556Z","iopub.status.idle":"2024-01-01T22:27:12.148539Z","shell.execute_reply":"2024-01-01T22:27:12.147519Z","shell.execute_reply.started":"2024-01-01T22:27:10.543820Z"},"id":"_xbD6GRmY2dh","outputId":"957c5070-4835-4095-81b4-6f821d65d4f3","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Files already downloaded and verified\n","Files already downloaded and verified\n"]}],"source":["# Dataset for training objectives\n","train_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=True,\n"," download=True,\n"," transform=train_transforms\n",")\n","\n","# Dataset for validation objectives\n","validation_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=False,\n"," download=True,\n"," transform=validation_transforms\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.150013Z","iopub.status.busy":"2024-01-01T22:27:12.149724Z","iopub.status.idle":"2024-01-01T22:27:12.155700Z","shell.execute_reply":"2024-01-01T22:27:12.154673Z","shell.execute_reply.started":"2024-01-01T22:27:12.149988Z"},"id":"WF5vC7MI7m7P","outputId":"6fc5b39c-a4ee-4104-babd-c39f7e0c4840","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Train dataset size: 50000\n","Validation dataset size: 10000\n"]}],"source":["# Number of images in each dataset\n","print('Train dataset size:', len(train_set))\n","print('Validation dataset size:', len(validation_set))"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:12.157207Z","iopub.status.busy":"2024-01-01T22:27:12.156816Z","iopub.status.idle":"2024-01-01T22:27:12.167666Z","shell.execute_reply":"2024-01-01T22:27:12.166592Z","shell.execute_reply.started":"2024-01-01T22:27:12.157178Z"},"id":"1iWGmNwNwLuC","trusted":true},"outputs":[],"source":["def plot_class_distribution(dataset, dataset_name):\n"," \"\"\"\n"," Print and plot the class distribution of a dataset.\n","\n"," Args:\n"," dataset (torch.utils.data.Dataset): The dataset to analyze.\n"," dataset_name (str): The name of the dataset.\n","\n"," Returns:\n"," None\n"," \"\"\"\n"," # Extract labels from the dataset\n"," labels = [y for _, y in dataset]\n","\n"," # Count the number of images per category\n"," counter = collections.Counter(labels)\n","\n"," # Print class image counter\n"," print(f\"Class Image Counter for {dataset_name} Data\")\n"," print(counter, \"\\n\")\n","\n"," # Optionally, plot the class distribution\n"," plt.bar(counter.keys(), counter.values())\n"," plt.xlabel(\"Class\")\n"," plt.ylabel(\"Number of Images\")\n"," plt.title(f\"Class Distribution for {dataset_name} Data\")\n"," plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.169217Z","iopub.status.busy":"2024-01-01T22:27:12.168888Z","iopub.status.idle":"2024-01-01T22:29:01.308185Z","shell.execute_reply":"2024-01-01T22:29:01.307152Z","shell.execute_reply.started":"2024-01-01T22:27:12.169181Z"},"id":"08oTUFv4wUMz","outputId":"6dca79f2-f07c-43d9-c797-b49dc0b446ac","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Class Image Counter for Training Data\n","Counter({6: 5000, 9: 5000, 4: 5000, 1: 5000, 2: 5000, 7: 5000, 8: 5000, 3: 5000, 5: 5000, 0: 5000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Class Image Counter for Validation Data\n","Counter({3: 1000, 8: 1000, 0: 1000, 6: 1000, 1: 1000, 9: 1000, 5: 1000, 7: 1000, 4: 1000, 2: 1000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# # Train dataset and test dataset (all classes) class distribution\n","plot_class_distribution(train_set, \"Training\")\n","plot_class_distribution(validation_set, \"Validation\")"]},{"cell_type":"markdown","metadata":{"id":"vvKljJOOOlov"},"source":["So, there are 10,000 test samples and 50,000 training samples in the dataset. Additionally, each class in the training dataset has 6,000 images, while each class in the validation dataset has 1,000 images."]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.310181Z","iopub.status.busy":"2024-01-01T22:29:01.309825Z","iopub.status.idle":"2024-01-01T22:29:01.316032Z","shell.execute_reply":"2024-01-01T22:29:01.315054Z","shell.execute_reply.started":"2024-01-01T22:29:01.310147Z"},"id":"89LWo8-V85OO","outputId":"ba27368e-682e-4b50-91be-8601dc335a91","trusted":true},"outputs":[],"source":["num_gpus = torch.cuda.device_count()\n","\n","# DataLoader for training set\n","train_loader = torch.utils.data.DataLoader(\n"," train_set,\n"," batch_size=batch_size,\n"," shuffle=True,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")\n","\n","# DataLoader for validation set\n","validation_loader = torch.utils.data.DataLoader(\n"," validation_set,\n"," batch_size=batch_size,\n"," shuffle=False,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.317713Z","iopub.status.busy":"2024-01-01T22:29:01.317262Z","iopub.status.idle":"2024-01-01T22:29:02.219656Z","shell.execute_reply":"2024-01-01T22:29:02.218671Z","shell.execute_reply.started":"2024-01-01T22:29:01.317681Z"},"id":"Cqz05rM2G2zd","outputId":"3716ce30-ff4e-4252-dd7a-73ab2f1eaf3d","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Image batch dimensions: torch.Size([128, 3, 224, 224])\n","Image label dimensions: torch.Size([128])\n"]}],"source":["# Checking the dataset\n","for images, labels in train_loader:\n"," print('Image batch dimensions:', images.shape)\n"," print('Image label dimensions:', labels.shape)\n"," break"]},{"cell_type":"markdown","metadata":{"id":"2LrtfUfqOp16"},"source":["The image batch dimensions are given as torch.Size([128, 3, 224, 224]), indicating a batch size of 128 images, each with 3 color channels (RGB), and each image having dimensions of 224x224 pixels.\n","\n","The image label dimensions are specified as torch.Size([128]), denoting the corresponding labels for the batch of 128 images. Each label is a single-dimensional tensor.\n","\n","**Note:** The initial images in the dataset were of size 32x32. However, to train the VGG19 model effectively, we need to resize the images to the size it was originally trained on, which is 224x224. Hence, we have applied the resize transformation."]},{"cell_type":"markdown","metadata":{"id":"F6D2ye4jqWAE"},"source":["### Visualize a few images\n","To better understand the data augmentations, let us visualize a few training images."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:29:02.224291Z","iopub.status.busy":"2024-01-01T22:29:02.223971Z","iopub.status.idle":"2024-01-01T22:29:02.231667Z","shell.execute_reply":"2024-01-01T22:29:02.230751Z","shell.execute_reply.started":"2024-01-01T22:29:02.224262Z"},"id":"UVKyk5mvTyrJ","trusted":true},"outputs":[],"source":["def imshow(tensor, title=None):\n"," \"\"\"\n"," Display a batch of images in a grid.\n","\n"," Args:\n"," tensor (torch.Tensor): The input tensor containing the images.\n"," title (str, optional): The title of the plot. Defaults to None.\n"," \"\"\"\n"," image = torchvision.utils.make_grid(tensor).numpy().transpose((1, 2, 0))\n","\n"," # Denormalize the image\n"," mean = np.array([0.4914, 0.4822, 0.4465])\n"," std = np.array([0.247, 0.243, 0.261])\n"," image = std * image + mean\n"," image = np.clip(image, 0, 1)\n","\n"," # Increase the plot size\n"," plt.figure(figsize=(10, 10))\n","\n"," # Plot the image\n"," plt.imshow(image)\n"," if title:\n"," plt.title(title)\n"," plt.pause(0.001) # pause a bit so that plots are updated"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":239},"execution":{"iopub.execute_input":"2024-01-01T22:29:02.246913Z","iopub.status.busy":"2024-01-01T22:29:02.246684Z","iopub.status.idle":"2024-01-01T22:29:03.617319Z","shell.execute_reply":"2024-01-01T22:29:03.616366Z","shell.execute_reply.started":"2024-01-01T22:29:02.246892Z"},"id":"Rc15DMnPC9Xr","outputId":"fbb17653-ae4f-49b7-ecef-b477716cb4df","trusted":true},"outputs":[{"data":{"image/png":"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Why not load the data from the Hugging Face Hub with the datasets library?

Nit: The data is available in 🤗 Face Datasets as well - technically, it's:

  • "the data is available on the 🤗 Hub", or
  • "the data is available on the Hugging Face Hub", or
  • "the data is available on the 🤗 Hub, and you can download it with 🤗 Datasets library."

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Regarding loading the data from Hugging Face Hub, as there will be multiple notebooks for this chapter, I thought to explore every option. Currently, I am considering custom data from the course repo, torchvision data, and hugging face data to be used in notebooks. For torchvision, I will keep the data source from torchvision data. When exploring the Timm ecosystem, hugging face hub data will be used.

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Fair enough 👍

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{"cells":[{"cell_type":"markdown","metadata":{"id":"Z-lBGA1trGZh"},"source":["# **Transfer Learning and Fine-tuning**\n","\n","In this tutorial, we will learn how to classify images into different categories by using transfer learning from a pre-trained network. We have already discussed various pre-trained models and their architectures in the **\"Common Pre-Trained Models\"** section. To recap, a pre-trained model is a saved network that has already been trained on a vast dataset. Transfer learning allows us to use these learned features without having to train a large model from scratch.\n","\n","In this notebook, we will see one of our two previously covered strategies for customizing a pretrained model:\n","\n","**Feature extraction:** Take advantage of the representations that a prior network has learned to extract relevant features from new samples. To use feature maps obtained from a pre-trained model on datasets like [**Imagenet**](https://www.image-net.org/), we can easily add a new trainable classifier on top."]},{"cell_type":"markdown","metadata":{"id":"16QQmZ-zriRx"},"source":["\n","## Set-up environment\n","\n","First, we import the libraries that we'll use: **torchvision** and other helpful libraries. The [**torchvision**](https://pytorch.org/vision/stable/index.html) package consists of popular datasets, model architectures, and common image transformations for computer vision."]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.502241Z","iopub.status.busy":"2024-01-01T22:27:10.501838Z","iopub.status.idle":"2024-01-01T22:27:10.512548Z","shell.execute_reply":"2024-01-01T22:27:10.511287Z","shell.execute_reply.started":"2024-01-01T22:27:10.502208Z"},"id":"2NU0ULaJRX67","outputId":"a9d86225-0a72-4dd3-f871-d236d5f679f0","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["cuda\n"]}],"source":["# General imports\n","import os\n","import time\n","import copy\n","import numpy as np\n","import collections\n","\n","# Plotting imports\n","from PIL import Image\n","import matplotlib.pyplot as plt\n","import plotly.graph_objects as go\n","from plotly.subplots import make_subplots\n","import plotly.express as px\n","\n","# Torch imports\n","import torch\n","import torch.nn as nn\n","import torch.backends.cudnn as cudnn\n","import torch.optim as optim\n","from torch.optim.lr_scheduler import CosineAnnealingLR\n","\n","# Torchvision imports\n","import torchvision\n","from torchvision import datasets, models\n","from torchvision.transforms import v2\n","\n","# Enable CuDNN benchmark mode for improved performance on compatible GPUs\n","cudnn.benchmark = True\n","\n","# Turn on interactive mode for matplotlib\n","plt.ion()\n","\n","# selecting the available device\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","print(device)"]},{"cell_type":"markdown","metadata":{"id":"xG2iGAkKq4cy"},"source":["## Data preprocessing"]},{"cell_type":"markdown","metadata":{"id":"qlFgv5DnIJr2"},"source":["### Data download\n","\n","In this tutorial, we will be working with the well-known **CIFAR10** dataset, which features images of 10 different classes. The CIFAR-10 dataset consists of 60,000 **32x32 colour images**, with 6000 images per class. Our main objective is to train a model that can accurately classify these images. Further details about the dataset will be provided in subsequent sections.\n","\n","**Note**: You can download the data from [**this link**](https://www.cs.toronto.edu/~kriz/cifar.html). The data is available in [**🤗 Face Datasets**](https://huggingface.co/datasets/cifar10) as well. We will use the **torchvision** and **torch.utils.data** packages to load the data. You can learn more about loading images in this [**tutorial**](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)."]},{"cell_type":"markdown","metadata":{"id":"nMeZUupfSeAZ"},"source":["### Data preparation and augmentation\n","\n","Here, we focus on optimizing our dataset for training and validation purposes. To achieve this, we use PyTorch's [**transforms**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#augmentation-transforms) module to implement crucial transformations. For the training set, we employ [**resized transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#resize) and [**Autoaugment transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#autoaugment) techniques to enhance dataset diversity, which in turn promotes better model generalization. Furthermore, we apply **normalization** to pixel values for both training and validation sets, ensuring efficient neural network processing. This comprehensive data preparation step lays a strong foundation for subsequent model training and evaluation."]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:10.515341Z","iopub.status.busy":"2024-01-01T22:27:10.514943Z","iopub.status.idle":"2024-01-01T22:27:10.529807Z","shell.execute_reply":"2024-01-01T22:27:10.528923Z","shell.execute_reply.started":"2024-01-01T22:27:10.515303Z"},"id":"ATO9BaWlG-SH","trusted":true},"outputs":[],"source":["# Hyperparameters\n","batch_size = 128\n","learning_rate = 1e-4"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.531567Z","iopub.status.busy":"2024-01-01T22:27:10.531155Z","iopub.status.idle":"2024-01-01T22:27:10.541219Z","shell.execute_reply":"2024-01-01T22:27:10.540399Z","shell.execute_reply.started":"2024-01-01T22:27:10.531531Z"},"id":"zKmneetndDuQ","outputId":"535d6ea1-2f98-45f6-d859-bf1bba3e1f5f","trusted":true},"outputs":[],"source":["# Classes in CIFAR-10 dataset (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)\n","NUM_CLASSES = 10\n","# Image size for VGG19 (224x224)\n","IMAGE_SIZE = 224\n","\n","mean, std = [0.4914, 0.4822, 0.4465], [0.247, 0.243, 0.261]\n","\n","# Data transformations for training set\n","train_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.AutoAugment(policy=v2.AutoAugmentPolicy.CIFAR10),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])\n","\n","# Data transformations for validation set\n","validation_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.543844Z","iopub.status.busy":"2024-01-01T22:27:10.543556Z","iopub.status.idle":"2024-01-01T22:27:12.148539Z","shell.execute_reply":"2024-01-01T22:27:12.147519Z","shell.execute_reply.started":"2024-01-01T22:27:10.543820Z"},"id":"_xbD6GRmY2dh","outputId":"957c5070-4835-4095-81b4-6f821d65d4f3","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Files already downloaded and verified\n","Files already downloaded and verified\n"]}],"source":["# Dataset for training objectives\n","train_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=True,\n"," download=True,\n"," transform=train_transforms\n",")\n","\n","# Dataset for validation objectives\n","validation_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=False,\n"," download=True,\n"," transform=validation_transforms\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.150013Z","iopub.status.busy":"2024-01-01T22:27:12.149724Z","iopub.status.idle":"2024-01-01T22:27:12.155700Z","shell.execute_reply":"2024-01-01T22:27:12.154673Z","shell.execute_reply.started":"2024-01-01T22:27:12.149988Z"},"id":"WF5vC7MI7m7P","outputId":"6fc5b39c-a4ee-4104-babd-c39f7e0c4840","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Train dataset size: 50000\n","Validation dataset size: 10000\n"]}],"source":["# Number of images in each dataset\n","print('Train dataset size:', len(train_set))\n","print('Validation dataset size:', len(validation_set))"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:12.157207Z","iopub.status.busy":"2024-01-01T22:27:12.156816Z","iopub.status.idle":"2024-01-01T22:27:12.167666Z","shell.execute_reply":"2024-01-01T22:27:12.166592Z","shell.execute_reply.started":"2024-01-01T22:27:12.157178Z"},"id":"1iWGmNwNwLuC","trusted":true},"outputs":[],"source":["def plot_class_distribution(dataset, dataset_name):\n"," \"\"\"\n"," Print and plot the class distribution of a dataset.\n","\n"," Args:\n"," dataset (torch.utils.data.Dataset): The dataset to analyze.\n"," dataset_name (str): The name of the dataset.\n","\n"," Returns:\n"," None\n"," \"\"\"\n"," # Extract labels from the dataset\n"," labels = [y for _, y in dataset]\n","\n"," # Count the number of images per category\n"," counter = collections.Counter(labels)\n","\n"," # Print class image counter\n"," print(f\"Class Image Counter for {dataset_name} Data\")\n"," print(counter, \"\\n\")\n","\n"," # Optionally, plot the class distribution\n"," plt.bar(counter.keys(), counter.values())\n"," plt.xlabel(\"Class\")\n"," plt.ylabel(\"Number of Images\")\n"," plt.title(f\"Class Distribution for {dataset_name} Data\")\n"," plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.169217Z","iopub.status.busy":"2024-01-01T22:27:12.168888Z","iopub.status.idle":"2024-01-01T22:29:01.308185Z","shell.execute_reply":"2024-01-01T22:29:01.307152Z","shell.execute_reply.started":"2024-01-01T22:27:12.169181Z"},"id":"08oTUFv4wUMz","outputId":"6dca79f2-f07c-43d9-c797-b49dc0b446ac","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Class Image Counter for Training Data\n","Counter({6: 5000, 9: 5000, 4: 5000, 1: 5000, 2: 5000, 7: 5000, 8: 5000, 3: 5000, 5: 5000, 0: 5000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Class Image Counter for Validation Data\n","Counter({3: 1000, 8: 1000, 0: 1000, 6: 1000, 1: 1000, 9: 1000, 5: 1000, 7: 1000, 4: 1000, 2: 1000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# # Train dataset and test dataset (all classes) class distribution\n","plot_class_distribution(train_set, \"Training\")\n","plot_class_distribution(validation_set, \"Validation\")"]},{"cell_type":"markdown","metadata":{"id":"vvKljJOOOlov"},"source":["So, there are 10,000 test samples and 50,000 training samples in the dataset. Additionally, each class in the training dataset has 6,000 images, while each class in the validation dataset has 1,000 images."]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.310181Z","iopub.status.busy":"2024-01-01T22:29:01.309825Z","iopub.status.idle":"2024-01-01T22:29:01.316032Z","shell.execute_reply":"2024-01-01T22:29:01.315054Z","shell.execute_reply.started":"2024-01-01T22:29:01.310147Z"},"id":"89LWo8-V85OO","outputId":"ba27368e-682e-4b50-91be-8601dc335a91","trusted":true},"outputs":[],"source":["num_gpus = torch.cuda.device_count()\n","\n","# DataLoader for training set\n","train_loader = torch.utils.data.DataLoader(\n"," train_set,\n"," batch_size=batch_size,\n"," shuffle=True,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")\n","\n","# DataLoader for validation set\n","validation_loader = torch.utils.data.DataLoader(\n"," validation_set,\n"," batch_size=batch_size,\n"," shuffle=False,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.317713Z","iopub.status.busy":"2024-01-01T22:29:01.317262Z","iopub.status.idle":"2024-01-01T22:29:02.219656Z","shell.execute_reply":"2024-01-01T22:29:02.218671Z","shell.execute_reply.started":"2024-01-01T22:29:01.317681Z"},"id":"Cqz05rM2G2zd","outputId":"3716ce30-ff4e-4252-dd7a-73ab2f1eaf3d","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Image batch dimensions: torch.Size([128, 3, 224, 224])\n","Image label dimensions: torch.Size([128])\n"]}],"source":["# Checking the dataset\n","for images, labels in train_loader:\n"," print('Image batch dimensions:', images.shape)\n"," print('Image label dimensions:', labels.shape)\n"," break"]},{"cell_type":"markdown","metadata":{"id":"2LrtfUfqOp16"},"source":["The image batch dimensions are given as torch.Size([128, 3, 224, 224]), indicating a batch size of 128 images, each with 3 color channels (RGB), and each image having dimensions of 224x224 pixels.\n","\n","The image label dimensions are specified as torch.Size([128]), denoting the corresponding labels for the batch of 128 images. Each label is a single-dimensional tensor.\n","\n","**Note:** The initial images in the dataset were of size 32x32. However, to train the VGG19 model effectively, we need to resize the images to the size it was originally trained on, which is 224x224. Hence, we have applied the resize transformation."]},{"cell_type":"markdown","metadata":{"id":"F6D2ye4jqWAE"},"source":["### Visualize a few images\n","To better understand the data augmentations, let us visualize a few training images."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:29:02.224291Z","iopub.status.busy":"2024-01-01T22:29:02.223971Z","iopub.status.idle":"2024-01-01T22:29:02.231667Z","shell.execute_reply":"2024-01-01T22:29:02.230751Z","shell.execute_reply.started":"2024-01-01T22:29:02.224262Z"},"id":"UVKyk5mvTyrJ","trusted":true},"outputs":[],"source":["def imshow(tensor, title=None):\n"," \"\"\"\n"," Display a batch of images in a grid.\n","\n"," Args:\n"," tensor (torch.Tensor): The input tensor containing the images.\n"," title (str, optional): The title of the plot. Defaults to None.\n"," \"\"\"\n"," image = torchvision.utils.make_grid(tensor).numpy().transpose((1, 2, 0))\n","\n"," # Denormalize the image\n"," mean = np.array([0.4914, 0.4822, 0.4465])\n"," std = np.array([0.247, 0.243, 0.261])\n"," image = std * image + mean\n"," image = np.clip(image, 0, 1)\n","\n"," # Increase the plot size\n"," plt.figure(figsize=(10, 10))\n","\n"," # Plot the image\n"," plt.imshow(image)\n"," if title:\n"," plt.title(title)\n"," plt.pause(0.001) # pause a bit so that plots are updated"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":239},"execution":{"iopub.execute_input":"2024-01-01T22:29:02.246913Z","iopub.status.busy":"2024-01-01T22:29:02.246684Z","iopub.status.idle":"2024-01-01T22:29:03.617319Z","shell.execute_reply":"2024-01-01T22:29:03.616366Z","shell.execute_reply.started":"2024-01-01T22:29:02.246892Z"},"id":"Rc15DMnPC9Xr","outputId":"fbb17653-ae4f-49b7-ecef-b477716cb4df","trusted":true},"outputs":[{"data":{"image/png":"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@MKhalusova MKhalusova Jan 8, 2024

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It would be better to define these constants closer to the training part of the tutorial. You don't use them until a few cells later.


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Yeah. I will do that.

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{"cells":[{"cell_type":"markdown","metadata":{"id":"Z-lBGA1trGZh"},"source":["# **Transfer Learning and Fine-tuning**\n","\n","In this tutorial, we will learn how to classify images into different categories by using transfer learning from a pre-trained network. We have already discussed various pre-trained models and their architectures in the **\"Common Pre-Trained Models\"** section. To recap, a pre-trained model is a saved network that has already been trained on a vast dataset. Transfer learning allows us to use these learned features without having to train a large model from scratch.\n","\n","In this notebook, we will see one of our two previously covered strategies for customizing a pretrained model:\n","\n","**Feature extraction:** Take advantage of the representations that a prior network has learned to extract relevant features from new samples. To use feature maps obtained from a pre-trained model on datasets like [**Imagenet**](https://www.image-net.org/), we can easily add a new trainable classifier on top."]},{"cell_type":"markdown","metadata":{"id":"16QQmZ-zriRx"},"source":["\n","## Set-up environment\n","\n","First, we import the libraries that we'll use: **torchvision** and other helpful libraries. The [**torchvision**](https://pytorch.org/vision/stable/index.html) package consists of popular datasets, model architectures, and common image transformations for computer vision."]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.502241Z","iopub.status.busy":"2024-01-01T22:27:10.501838Z","iopub.status.idle":"2024-01-01T22:27:10.512548Z","shell.execute_reply":"2024-01-01T22:27:10.511287Z","shell.execute_reply.started":"2024-01-01T22:27:10.502208Z"},"id":"2NU0ULaJRX67","outputId":"a9d86225-0a72-4dd3-f871-d236d5f679f0","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["cuda\n"]}],"source":["# General imports\n","import os\n","import time\n","import copy\n","import numpy as np\n","import collections\n","\n","# Plotting imports\n","from PIL import Image\n","import matplotlib.pyplot as plt\n","import plotly.graph_objects as go\n","from plotly.subplots import make_subplots\n","import plotly.express as px\n","\n","# Torch imports\n","import torch\n","import torch.nn as nn\n","import torch.backends.cudnn as cudnn\n","import torch.optim as optim\n","from torch.optim.lr_scheduler import CosineAnnealingLR\n","\n","# Torchvision imports\n","import torchvision\n","from torchvision import datasets, models\n","from torchvision.transforms import v2\n","\n","# Enable CuDNN benchmark mode for improved performance on compatible GPUs\n","cudnn.benchmark = True\n","\n","# Turn on interactive mode for matplotlib\n","plt.ion()\n","\n","# selecting the available device\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","print(device)"]},{"cell_type":"markdown","metadata":{"id":"xG2iGAkKq4cy"},"source":["## Data preprocessing"]},{"cell_type":"markdown","metadata":{"id":"qlFgv5DnIJr2"},"source":["### Data download\n","\n","In this tutorial, we will be working with the well-known **CIFAR10** dataset, which features images of 10 different classes. The CIFAR-10 dataset consists of 60,000 **32x32 colour images**, with 6000 images per class. Our main objective is to train a model that can accurately classify these images. Further details about the dataset will be provided in subsequent sections.\n","\n","**Note**: You can download the data from [**this link**](https://www.cs.toronto.edu/~kriz/cifar.html). The data is available in [**🤗 Face Datasets**](https://huggingface.co/datasets/cifar10) as well. We will use the **torchvision** and **torch.utils.data** packages to load the data. You can learn more about loading images in this [**tutorial**](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)."]},{"cell_type":"markdown","metadata":{"id":"nMeZUupfSeAZ"},"source":["### Data preparation and augmentation\n","\n","Here, we focus on optimizing our dataset for training and validation purposes. To achieve this, we use PyTorch's [**transforms**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#augmentation-transforms) module to implement crucial transformations. For the training set, we employ [**resized transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#resize) and [**Autoaugment transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#autoaugment) techniques to enhance dataset diversity, which in turn promotes better model generalization. Furthermore, we apply **normalization** to pixel values for both training and validation sets, ensuring efficient neural network processing. This comprehensive data preparation step lays a strong foundation for subsequent model training and evaluation."]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:10.515341Z","iopub.status.busy":"2024-01-01T22:27:10.514943Z","iopub.status.idle":"2024-01-01T22:27:10.529807Z","shell.execute_reply":"2024-01-01T22:27:10.528923Z","shell.execute_reply.started":"2024-01-01T22:27:10.515303Z"},"id":"ATO9BaWlG-SH","trusted":true},"outputs":[],"source":["# Hyperparameters\n","batch_size = 128\n","learning_rate = 1e-4"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.531567Z","iopub.status.busy":"2024-01-01T22:27:10.531155Z","iopub.status.idle":"2024-01-01T22:27:10.541219Z","shell.execute_reply":"2024-01-01T22:27:10.540399Z","shell.execute_reply.started":"2024-01-01T22:27:10.531531Z"},"id":"zKmneetndDuQ","outputId":"535d6ea1-2f98-45f6-d859-bf1bba3e1f5f","trusted":true},"outputs":[],"source":["# Classes in CIFAR-10 dataset (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)\n","NUM_CLASSES = 10\n","# Image size for VGG19 (224x224)\n","IMAGE_SIZE = 224\n","\n","mean, std = [0.4914, 0.4822, 0.4465], [0.247, 0.243, 0.261]\n","\n","# Data transformations for training set\n","train_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.AutoAugment(policy=v2.AutoAugmentPolicy.CIFAR10),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])\n","\n","# Data transformations for validation set\n","validation_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.543844Z","iopub.status.busy":"2024-01-01T22:27:10.543556Z","iopub.status.idle":"2024-01-01T22:27:12.148539Z","shell.execute_reply":"2024-01-01T22:27:12.147519Z","shell.execute_reply.started":"2024-01-01T22:27:10.543820Z"},"id":"_xbD6GRmY2dh","outputId":"957c5070-4835-4095-81b4-6f821d65d4f3","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Files already downloaded and verified\n","Files already downloaded and verified\n"]}],"source":["# Dataset for training objectives\n","train_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=True,\n"," download=True,\n"," transform=train_transforms\n",")\n","\n","# Dataset for validation objectives\n","validation_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=False,\n"," download=True,\n"," transform=validation_transforms\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.150013Z","iopub.status.busy":"2024-01-01T22:27:12.149724Z","iopub.status.idle":"2024-01-01T22:27:12.155700Z","shell.execute_reply":"2024-01-01T22:27:12.154673Z","shell.execute_reply.started":"2024-01-01T22:27:12.149988Z"},"id":"WF5vC7MI7m7P","outputId":"6fc5b39c-a4ee-4104-babd-c39f7e0c4840","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Train dataset size: 50000\n","Validation dataset size: 10000\n"]}],"source":["# Number of images in each dataset\n","print('Train dataset size:', len(train_set))\n","print('Validation dataset size:', len(validation_set))"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:12.157207Z","iopub.status.busy":"2024-01-01T22:27:12.156816Z","iopub.status.idle":"2024-01-01T22:27:12.167666Z","shell.execute_reply":"2024-01-01T22:27:12.166592Z","shell.execute_reply.started":"2024-01-01T22:27:12.157178Z"},"id":"1iWGmNwNwLuC","trusted":true},"outputs":[],"source":["def plot_class_distribution(dataset, dataset_name):\n"," \"\"\"\n"," Print and plot the class distribution of a dataset.\n","\n"," Args:\n"," dataset (torch.utils.data.Dataset): The dataset to analyze.\n"," dataset_name (str): The name of the dataset.\n","\n"," Returns:\n"," None\n"," \"\"\"\n"," # Extract labels from the dataset\n"," labels = [y for _, y in dataset]\n","\n"," # Count the number of images per category\n"," counter = collections.Counter(labels)\n","\n"," # Print class image counter\n"," print(f\"Class Image Counter for {dataset_name} Data\")\n"," print(counter, \"\\n\")\n","\n"," # Optionally, plot the class distribution\n"," plt.bar(counter.keys(), counter.values())\n"," plt.xlabel(\"Class\")\n"," plt.ylabel(\"Number of Images\")\n"," plt.title(f\"Class Distribution for {dataset_name} Data\")\n"," plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.169217Z","iopub.status.busy":"2024-01-01T22:27:12.168888Z","iopub.status.idle":"2024-01-01T22:29:01.308185Z","shell.execute_reply":"2024-01-01T22:29:01.307152Z","shell.execute_reply.started":"2024-01-01T22:27:12.169181Z"},"id":"08oTUFv4wUMz","outputId":"6dca79f2-f07c-43d9-c797-b49dc0b446ac","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Class Image Counter for Training Data\n","Counter({6: 5000, 9: 5000, 4: 5000, 1: 5000, 2: 5000, 7: 5000, 8: 5000, 3: 5000, 5: 5000, 0: 5000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Class Image Counter for Validation Data\n","Counter({3: 1000, 8: 1000, 0: 1000, 6: 1000, 1: 1000, 9: 1000, 5: 1000, 7: 1000, 4: 1000, 2: 1000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# # Train dataset and test dataset (all classes) class distribution\n","plot_class_distribution(train_set, \"Training\")\n","plot_class_distribution(validation_set, \"Validation\")"]},{"cell_type":"markdown","metadata":{"id":"vvKljJOOOlov"},"source":["So, there are 10,000 test samples and 50,000 training samples in the dataset. Additionally, each class in the training dataset has 6,000 images, while each class in the validation dataset has 1,000 images."]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.310181Z","iopub.status.busy":"2024-01-01T22:29:01.309825Z","iopub.status.idle":"2024-01-01T22:29:01.316032Z","shell.execute_reply":"2024-01-01T22:29:01.315054Z","shell.execute_reply.started":"2024-01-01T22:29:01.310147Z"},"id":"89LWo8-V85OO","outputId":"ba27368e-682e-4b50-91be-8601dc335a91","trusted":true},"outputs":[],"source":["num_gpus = torch.cuda.device_count()\n","\n","# DataLoader for training set\n","train_loader = torch.utils.data.DataLoader(\n"," train_set,\n"," batch_size=batch_size,\n"," shuffle=True,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")\n","\n","# DataLoader for validation set\n","validation_loader = torch.utils.data.DataLoader(\n"," validation_set,\n"," batch_size=batch_size,\n"," shuffle=False,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.317713Z","iopub.status.busy":"2024-01-01T22:29:01.317262Z","iopub.status.idle":"2024-01-01T22:29:02.219656Z","shell.execute_reply":"2024-01-01T22:29:02.218671Z","shell.execute_reply.started":"2024-01-01T22:29:01.317681Z"},"id":"Cqz05rM2G2zd","outputId":"3716ce30-ff4e-4252-dd7a-73ab2f1eaf3d","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Image batch dimensions: torch.Size([128, 3, 224, 224])\n","Image label dimensions: torch.Size([128])\n"]}],"source":["# Checking the dataset\n","for images, labels in train_loader:\n"," print('Image batch dimensions:', images.shape)\n"," print('Image label dimensions:', labels.shape)\n"," break"]},{"cell_type":"markdown","metadata":{"id":"2LrtfUfqOp16"},"source":["The image batch dimensions are given as torch.Size([128, 3, 224, 224]), indicating a batch size of 128 images, each with 3 color channels (RGB), and each image having dimensions of 224x224 pixels.\n","\n","The image label dimensions are specified as torch.Size([128]), denoting the corresponding labels for the batch of 128 images. Each label is a single-dimensional tensor.\n","\n","**Note:** The initial images in the dataset were of size 32x32. However, to train the VGG19 model effectively, we need to resize the images to the size it was originally trained on, which is 224x224. Hence, we have applied the resize transformation."]},{"cell_type":"markdown","metadata":{"id":"F6D2ye4jqWAE"},"source":["### Visualize a few images\n","To better understand the data augmentations, let us visualize a few training images."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:29:02.224291Z","iopub.status.busy":"2024-01-01T22:29:02.223971Z","iopub.status.idle":"2024-01-01T22:29:02.231667Z","shell.execute_reply":"2024-01-01T22:29:02.230751Z","shell.execute_reply.started":"2024-01-01T22:29:02.224262Z"},"id":"UVKyk5mvTyrJ","trusted":true},"outputs":[],"source":["def imshow(tensor, title=None):\n"," \"\"\"\n"," Display a batch of images in a grid.\n","\n"," Args:\n"," tensor (torch.Tensor): The input tensor containing the images.\n"," title (str, optional): The title of the plot. Defaults to None.\n"," \"\"\"\n"," image = torchvision.utils.make_grid(tensor).numpy().transpose((1, 2, 0))\n","\n"," # Denormalize the image\n"," mean = np.array([0.4914, 0.4822, 0.4465])\n"," std = np.array([0.247, 0.243, 0.261])\n"," image = std * image + mean\n"," image = np.clip(image, 0, 1)\n","\n"," # Increase the plot size\n"," plt.figure(figsize=(10, 10))\n","\n"," # Plot the image\n"," plt.imshow(image)\n"," if title:\n"," plt.title(title)\n"," plt.pause(0.001) # pause a bit so that plots are updated"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":239},"execution":{"iopub.execute_input":"2024-01-01T22:29:02.246913Z","iopub.status.busy":"2024-01-01T22:29:02.246684Z","iopub.status.idle":"2024-01-01T22:29:03.617319Z","shell.execute_reply":"2024-01-01T22:29:03.616366Z","shell.execute_reply.started":"2024-01-01T22:29:02.246892Z"},"id":"Rc15DMnPC9Xr","outputId":"fbb17653-ae4f-49b7-ecef-b477716cb4df","trusted":true},"outputs":[{"data":{"image/png":"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Line #6.    mean, std = [0.4914, 0.4822, 0.4465], [0.247, 0.243, 0.261]

Would be great to explain where you get these numbers from.


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Actually, at the time of writing, I also thought of it. I did not add that because I feel that including it may make the tutorial stretch. And not focusing on the main thing either. So, now I am thinking, should I include that code or can I link to any community post related to that? What's your suggestion?

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Is it explained anywhere else in the course? If so, you could link to that place. Otherwise, a link to a community post should be ok.

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{"cells":[{"cell_type":"markdown","metadata":{"id":"Z-lBGA1trGZh"},"source":["# **Transfer Learning and Fine-tuning**\n","\n","In this tutorial, we will learn how to classify images into different categories by using transfer learning from a pre-trained network. We have already discussed various pre-trained models and their architectures in the **\"Common Pre-Trained Models\"** section. To recap, a pre-trained model is a saved network that has already been trained on a vast dataset. Transfer learning allows us to use these learned features without having to train a large model from scratch.\n","\n","In this notebook, we will see one of our two previously covered strategies for customizing a pretrained model:\n","\n","**Feature extraction:** Take advantage of the representations that a prior network has learned to extract relevant features from new samples. To use feature maps obtained from a pre-trained model on datasets like [**Imagenet**](https://www.image-net.org/), we can easily add a new trainable classifier on top."]},{"cell_type":"markdown","metadata":{"id":"16QQmZ-zriRx"},"source":["\n","## Set-up environment\n","\n","First, we import the libraries that we'll use: **torchvision** and other helpful libraries. The [**torchvision**](https://pytorch.org/vision/stable/index.html) package consists of popular datasets, model architectures, and common image transformations for computer vision."]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.502241Z","iopub.status.busy":"2024-01-01T22:27:10.501838Z","iopub.status.idle":"2024-01-01T22:27:10.512548Z","shell.execute_reply":"2024-01-01T22:27:10.511287Z","shell.execute_reply.started":"2024-01-01T22:27:10.502208Z"},"id":"2NU0ULaJRX67","outputId":"a9d86225-0a72-4dd3-f871-d236d5f679f0","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["cuda\n"]}],"source":["# General imports\n","import os\n","import time\n","import copy\n","import numpy as np\n","import collections\n","\n","# Plotting imports\n","from PIL import Image\n","import matplotlib.pyplot as plt\n","import plotly.graph_objects as go\n","from plotly.subplots import make_subplots\n","import plotly.express as px\n","\n","# Torch imports\n","import torch\n","import torch.nn as nn\n","import torch.backends.cudnn as cudnn\n","import torch.optim as optim\n","from torch.optim.lr_scheduler import CosineAnnealingLR\n","\n","# Torchvision imports\n","import torchvision\n","from torchvision import datasets, models\n","from torchvision.transforms import v2\n","\n","# Enable CuDNN benchmark mode for improved performance on compatible GPUs\n","cudnn.benchmark = True\n","\n","# Turn on interactive mode for matplotlib\n","plt.ion()\n","\n","# selecting the available device\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","print(device)"]},{"cell_type":"markdown","metadata":{"id":"xG2iGAkKq4cy"},"source":["## Data preprocessing"]},{"cell_type":"markdown","metadata":{"id":"qlFgv5DnIJr2"},"source":["### Data download\n","\n","In this tutorial, we will be working with the well-known **CIFAR10** dataset, which features images of 10 different classes. The CIFAR-10 dataset consists of 60,000 **32x32 colour images**, with 6000 images per class. Our main objective is to train a model that can accurately classify these images. Further details about the dataset will be provided in subsequent sections.\n","\n","**Note**: You can download the data from [**this link**](https://www.cs.toronto.edu/~kriz/cifar.html). The data is available in [**🤗 Face Datasets**](https://huggingface.co/datasets/cifar10) as well. We will use the **torchvision** and **torch.utils.data** packages to load the data. You can learn more about loading images in this [**tutorial**](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)."]},{"cell_type":"markdown","metadata":{"id":"nMeZUupfSeAZ"},"source":["### Data preparation and augmentation\n","\n","Here, we focus on optimizing our dataset for training and validation purposes. To achieve this, we use PyTorch's [**transforms**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#augmentation-transforms) module to implement crucial transformations. For the training set, we employ [**resized transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#resize) and [**Autoaugment transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#autoaugment) techniques to enhance dataset diversity, which in turn promotes better model generalization. Furthermore, we apply **normalization** to pixel values for both training and validation sets, ensuring efficient neural network processing. This comprehensive data preparation step lays a strong foundation for subsequent model training and evaluation."]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:10.515341Z","iopub.status.busy":"2024-01-01T22:27:10.514943Z","iopub.status.idle":"2024-01-01T22:27:10.529807Z","shell.execute_reply":"2024-01-01T22:27:10.528923Z","shell.execute_reply.started":"2024-01-01T22:27:10.515303Z"},"id":"ATO9BaWlG-SH","trusted":true},"outputs":[],"source":["# Hyperparameters\n","batch_size = 128\n","learning_rate = 1e-4"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.531567Z","iopub.status.busy":"2024-01-01T22:27:10.531155Z","iopub.status.idle":"2024-01-01T22:27:10.541219Z","shell.execute_reply":"2024-01-01T22:27:10.540399Z","shell.execute_reply.started":"2024-01-01T22:27:10.531531Z"},"id":"zKmneetndDuQ","outputId":"535d6ea1-2f98-45f6-d859-bf1bba3e1f5f","trusted":true},"outputs":[],"source":["# Classes in CIFAR-10 dataset (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)\n","NUM_CLASSES = 10\n","# Image size for VGG19 (224x224)\n","IMAGE_SIZE = 224\n","\n","mean, std = [0.4914, 0.4822, 0.4465], [0.247, 0.243, 0.261]\n","\n","# Data transformations for training set\n","train_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.AutoAugment(policy=v2.AutoAugmentPolicy.CIFAR10),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])\n","\n","# Data transformations for validation set\n","validation_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.543844Z","iopub.status.busy":"2024-01-01T22:27:10.543556Z","iopub.status.idle":"2024-01-01T22:27:12.148539Z","shell.execute_reply":"2024-01-01T22:27:12.147519Z","shell.execute_reply.started":"2024-01-01T22:27:10.543820Z"},"id":"_xbD6GRmY2dh","outputId":"957c5070-4835-4095-81b4-6f821d65d4f3","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Files already downloaded and verified\n","Files already downloaded and verified\n"]}],"source":["# Dataset for training objectives\n","train_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=True,\n"," download=True,\n"," transform=train_transforms\n",")\n","\n","# Dataset for validation objectives\n","validation_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=False,\n"," download=True,\n"," transform=validation_transforms\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.150013Z","iopub.status.busy":"2024-01-01T22:27:12.149724Z","iopub.status.idle":"2024-01-01T22:27:12.155700Z","shell.execute_reply":"2024-01-01T22:27:12.154673Z","shell.execute_reply.started":"2024-01-01T22:27:12.149988Z"},"id":"WF5vC7MI7m7P","outputId":"6fc5b39c-a4ee-4104-babd-c39f7e0c4840","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Train dataset size: 50000\n","Validation dataset size: 10000\n"]}],"source":["# Number of images in each dataset\n","print('Train dataset size:', len(train_set))\n","print('Validation dataset size:', len(validation_set))"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:12.157207Z","iopub.status.busy":"2024-01-01T22:27:12.156816Z","iopub.status.idle":"2024-01-01T22:27:12.167666Z","shell.execute_reply":"2024-01-01T22:27:12.166592Z","shell.execute_reply.started":"2024-01-01T22:27:12.157178Z"},"id":"1iWGmNwNwLuC","trusted":true},"outputs":[],"source":["def plot_class_distribution(dataset, dataset_name):\n"," \"\"\"\n"," Print and plot the class distribution of a dataset.\n","\n"," Args:\n"," dataset (torch.utils.data.Dataset): The dataset to analyze.\n"," dataset_name (str): The name of the dataset.\n","\n"," Returns:\n"," None\n"," \"\"\"\n"," # Extract labels from the dataset\n"," labels = [y for _, y in dataset]\n","\n"," # Count the number of images per category\n"," counter = collections.Counter(labels)\n","\n"," # Print class image counter\n"," print(f\"Class Image Counter for {dataset_name} Data\")\n"," print(counter, \"\\n\")\n","\n"," # Optionally, plot the class distribution\n"," plt.bar(counter.keys(), counter.values())\n"," plt.xlabel(\"Class\")\n"," plt.ylabel(\"Number of Images\")\n"," plt.title(f\"Class Distribution for {dataset_name} Data\")\n"," plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.169217Z","iopub.status.busy":"2024-01-01T22:27:12.168888Z","iopub.status.idle":"2024-01-01T22:29:01.308185Z","shell.execute_reply":"2024-01-01T22:29:01.307152Z","shell.execute_reply.started":"2024-01-01T22:27:12.169181Z"},"id":"08oTUFv4wUMz","outputId":"6dca79f2-f07c-43d9-c797-b49dc0b446ac","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Class Image Counter for Training Data\n","Counter({6: 5000, 9: 5000, 4: 5000, 1: 5000, 2: 5000, 7: 5000, 8: 5000, 3: 5000, 5: 5000, 0: 5000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Class Image Counter for Validation Data\n","Counter({3: 1000, 8: 1000, 0: 1000, 6: 1000, 1: 1000, 9: 1000, 5: 1000, 7: 1000, 4: 1000, 2: 1000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# # Train dataset and test dataset (all classes) class distribution\n","plot_class_distribution(train_set, \"Training\")\n","plot_class_distribution(validation_set, \"Validation\")"]},{"cell_type":"markdown","metadata":{"id":"vvKljJOOOlov"},"source":["So, there are 10,000 test samples and 50,000 training samples in the dataset. Additionally, each class in the training dataset has 6,000 images, while each class in the validation dataset has 1,000 images."]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.310181Z","iopub.status.busy":"2024-01-01T22:29:01.309825Z","iopub.status.idle":"2024-01-01T22:29:01.316032Z","shell.execute_reply":"2024-01-01T22:29:01.315054Z","shell.execute_reply.started":"2024-01-01T22:29:01.310147Z"},"id":"89LWo8-V85OO","outputId":"ba27368e-682e-4b50-91be-8601dc335a91","trusted":true},"outputs":[],"source":["num_gpus = torch.cuda.device_count()\n","\n","# DataLoader for training set\n","train_loader = torch.utils.data.DataLoader(\n"," train_set,\n"," batch_size=batch_size,\n"," shuffle=True,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")\n","\n","# DataLoader for validation set\n","validation_loader = torch.utils.data.DataLoader(\n"," validation_set,\n"," batch_size=batch_size,\n"," shuffle=False,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.317713Z","iopub.status.busy":"2024-01-01T22:29:01.317262Z","iopub.status.idle":"2024-01-01T22:29:02.219656Z","shell.execute_reply":"2024-01-01T22:29:02.218671Z","shell.execute_reply.started":"2024-01-01T22:29:01.317681Z"},"id":"Cqz05rM2G2zd","outputId":"3716ce30-ff4e-4252-dd7a-73ab2f1eaf3d","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Image batch dimensions: torch.Size([128, 3, 224, 224])\n","Image label dimensions: torch.Size([128])\n"]}],"source":["# Checking the dataset\n","for images, labels in train_loader:\n"," print('Image batch dimensions:', images.shape)\n"," print('Image label dimensions:', labels.shape)\n"," break"]},{"cell_type":"markdown","metadata":{"id":"2LrtfUfqOp16"},"source":["The image batch dimensions are given as torch.Size([128, 3, 224, 224]), indicating a batch size of 128 images, each with 3 color channels (RGB), and each image having dimensions of 224x224 pixels.\n","\n","The image label dimensions are specified as torch.Size([128]), denoting the corresponding labels for the batch of 128 images. Each label is a single-dimensional tensor.\n","\n","**Note:** The initial images in the dataset were of size 32x32. However, to train the VGG19 model effectively, we need to resize the images to the size it was originally trained on, which is 224x224. Hence, we have applied the resize transformation."]},{"cell_type":"markdown","metadata":{"id":"F6D2ye4jqWAE"},"source":["### Visualize a few images\n","To better understand the data augmentations, let us visualize a few training images."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:29:02.224291Z","iopub.status.busy":"2024-01-01T22:29:02.223971Z","iopub.status.idle":"2024-01-01T22:29:02.231667Z","shell.execute_reply":"2024-01-01T22:29:02.230751Z","shell.execute_reply.started":"2024-01-01T22:29:02.224262Z"},"id":"UVKyk5mvTyrJ","trusted":true},"outputs":[],"source":["def imshow(tensor, title=None):\n"," \"\"\"\n"," Display a batch of images in a grid.\n","\n"," Args:\n"," tensor (torch.Tensor): The input tensor containing the images.\n"," title (str, optional): The title of the plot. Defaults to None.\n"," \"\"\"\n"," image = torchvision.utils.make_grid(tensor).numpy().transpose((1, 2, 0))\n","\n"," # Denormalize the image\n"," mean = np.array([0.4914, 0.4822, 0.4465])\n"," std = np.array([0.247, 0.243, 0.261])\n"," image = std * image + mean\n"," image = np.clip(image, 0, 1)\n","\n"," # Increase the plot size\n"," plt.figure(figsize=(10, 10))\n","\n"," # Plot the image\n"," plt.imshow(image)\n"," if title:\n"," plt.title(title)\n"," plt.pause(0.001) # pause a bit so that plots are updated"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":239},"execution":{"iopub.execute_input":"2024-01-01T22:29:02.246913Z","iopub.status.busy":"2024-01-01T22:29:02.246684Z","iopub.status.idle":"2024-01-01T22:29:03.617319Z","shell.execute_reply":"2024-01-01T22:29:03.616366Z","shell.execute_reply.started":"2024-01-01T22:29:02.246892Z"},"id":"Rc15DMnPC9Xr","outputId":"fbb17653-ae4f-49b7-ecef-b477716cb4df","trusted":true},"outputs":[{"data":{"image/png":"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@MKhalusova MKhalusova Jan 8, 2024

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I'm not sure we need to plot the distribution in this particular example. This is a curated dataset, of which we know for a fact that it is a balanced one.


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Yeah. Can be avoided, or I can add one line about that in the dataset description too.

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I earlier thought about avoiding this code block. But now I think it is necessary because we know that each class has 6,000 images; we don't know after training and testing split classes. I know it is straightforward to divide the total train images by the number of classes, but this visualization is not really that unnecessary. So, we can keep it as well.

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good point.

@@ -0,0 +1 @@
{"cells":[{"cell_type":"markdown","metadata":{"id":"Z-lBGA1trGZh"},"source":["# **Transfer Learning and Fine-tuning**\n","\n","In this tutorial, we will learn how to classify images into different categories by using transfer learning from a pre-trained network. We have already discussed various pre-trained models and their architectures in the **\"Common Pre-Trained Models\"** section. To recap, a pre-trained model is a saved network that has already been trained on a vast dataset. Transfer learning allows us to use these learned features without having to train a large model from scratch.\n","\n","In this notebook, we will see one of our two previously covered strategies for customizing a pretrained model:\n","\n","**Feature extraction:** Take advantage of the representations that a prior network has learned to extract relevant features from new samples. To use feature maps obtained from a pre-trained model on datasets like [**Imagenet**](https://www.image-net.org/), we can easily add a new trainable classifier on top."]},{"cell_type":"markdown","metadata":{"id":"16QQmZ-zriRx"},"source":["\n","## Set-up environment\n","\n","First, we import the libraries that we'll use: **torchvision** and other helpful libraries. The [**torchvision**](https://pytorch.org/vision/stable/index.html) package consists of popular datasets, model architectures, and common image transformations for computer vision."]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.502241Z","iopub.status.busy":"2024-01-01T22:27:10.501838Z","iopub.status.idle":"2024-01-01T22:27:10.512548Z","shell.execute_reply":"2024-01-01T22:27:10.511287Z","shell.execute_reply.started":"2024-01-01T22:27:10.502208Z"},"id":"2NU0ULaJRX67","outputId":"a9d86225-0a72-4dd3-f871-d236d5f679f0","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["cuda\n"]}],"source":["# General imports\n","import os\n","import time\n","import copy\n","import numpy as np\n","import collections\n","\n","# Plotting imports\n","from PIL import Image\n","import matplotlib.pyplot as plt\n","import plotly.graph_objects as go\n","from plotly.subplots import make_subplots\n","import plotly.express as px\n","\n","# Torch imports\n","import torch\n","import torch.nn as nn\n","import torch.backends.cudnn as cudnn\n","import torch.optim as optim\n","from torch.optim.lr_scheduler import CosineAnnealingLR\n","\n","# Torchvision imports\n","import torchvision\n","from torchvision import datasets, models\n","from torchvision.transforms import v2\n","\n","# Enable CuDNN benchmark mode for improved performance on compatible GPUs\n","cudnn.benchmark = True\n","\n","# Turn on interactive mode for matplotlib\n","plt.ion()\n","\n","# selecting the available device\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","print(device)"]},{"cell_type":"markdown","metadata":{"id":"xG2iGAkKq4cy"},"source":["## Data preprocessing"]},{"cell_type":"markdown","metadata":{"id":"qlFgv5DnIJr2"},"source":["### Data download\n","\n","In this tutorial, we will be working with the well-known **CIFAR10** dataset, which features images of 10 different classes. The CIFAR-10 dataset consists of 60,000 **32x32 colour images**, with 6000 images per class. Our main objective is to train a model that can accurately classify these images. Further details about the dataset will be provided in subsequent sections.\n","\n","**Note**: You can download the data from [**this link**](https://www.cs.toronto.edu/~kriz/cifar.html). The data is available in [**🤗 Face Datasets**](https://huggingface.co/datasets/cifar10) as well. We will use the **torchvision** and **torch.utils.data** packages to load the data. You can learn more about loading images in this [**tutorial**](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)."]},{"cell_type":"markdown","metadata":{"id":"nMeZUupfSeAZ"},"source":["### Data preparation and augmentation\n","\n","Here, we focus on optimizing our dataset for training and validation purposes. To achieve this, we use PyTorch's [**transforms**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#augmentation-transforms) module to implement crucial transformations. For the training set, we employ [**resized transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#resize) and [**Autoaugment transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#autoaugment) techniques to enhance dataset diversity, which in turn promotes better model generalization. Furthermore, we apply **normalization** to pixel values for both training and validation sets, ensuring efficient neural network processing. This comprehensive data preparation step lays a strong foundation for subsequent model training and evaluation."]},{"cell_type":"code","execution_count":22,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:10.515341Z","iopub.status.busy":"2024-01-01T22:27:10.514943Z","iopub.status.idle":"2024-01-01T22:27:10.529807Z","shell.execute_reply":"2024-01-01T22:27:10.528923Z","shell.execute_reply.started":"2024-01-01T22:27:10.515303Z"},"id":"ATO9BaWlG-SH","trusted":true},"outputs":[],"source":["# Hyperparameters\n","batch_size = 128\n","learning_rate = 1e-4"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.531567Z","iopub.status.busy":"2024-01-01T22:27:10.531155Z","iopub.status.idle":"2024-01-01T22:27:10.541219Z","shell.execute_reply":"2024-01-01T22:27:10.540399Z","shell.execute_reply.started":"2024-01-01T22:27:10.531531Z"},"id":"zKmneetndDuQ","outputId":"535d6ea1-2f98-45f6-d859-bf1bba3e1f5f","trusted":true},"outputs":[],"source":["# Classes in CIFAR-10 dataset (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)\n","NUM_CLASSES = 10\n","# Image size for VGG19 (224x224)\n","IMAGE_SIZE = 224\n","\n","mean, std = [0.4914, 0.4822, 0.4465], [0.247, 0.243, 0.261]\n","\n","# Data transformations for training set\n","train_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.AutoAugment(policy=v2.AutoAugmentPolicy.CIFAR10),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])\n","\n","# Data transformations for validation set\n","validation_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.543844Z","iopub.status.busy":"2024-01-01T22:27:10.543556Z","iopub.status.idle":"2024-01-01T22:27:12.148539Z","shell.execute_reply":"2024-01-01T22:27:12.147519Z","shell.execute_reply.started":"2024-01-01T22:27:10.543820Z"},"id":"_xbD6GRmY2dh","outputId":"957c5070-4835-4095-81b4-6f821d65d4f3","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Files already downloaded and verified\n","Files already downloaded and verified\n"]}],"source":["# Dataset for training objectives\n","train_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=True,\n"," download=True,\n"," transform=train_transforms\n",")\n","\n","# Dataset for validation objectives\n","validation_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=False,\n"," download=True,\n"," transform=validation_transforms\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.150013Z","iopub.status.busy":"2024-01-01T22:27:12.149724Z","iopub.status.idle":"2024-01-01T22:27:12.155700Z","shell.execute_reply":"2024-01-01T22:27:12.154673Z","shell.execute_reply.started":"2024-01-01T22:27:12.149988Z"},"id":"WF5vC7MI7m7P","outputId":"6fc5b39c-a4ee-4104-babd-c39f7e0c4840","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Train dataset size: 50000\n","Validation dataset size: 10000\n"]}],"source":["# Number of images in each dataset\n","print('Train dataset size:', len(train_set))\n","print('Validation dataset size:', len(validation_set))"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:12.157207Z","iopub.status.busy":"2024-01-01T22:27:12.156816Z","iopub.status.idle":"2024-01-01T22:27:12.167666Z","shell.execute_reply":"2024-01-01T22:27:12.166592Z","shell.execute_reply.started":"2024-01-01T22:27:12.157178Z"},"id":"1iWGmNwNwLuC","trusted":true},"outputs":[],"source":["def plot_class_distribution(dataset, dataset_name):\n"," \"\"\"\n"," Print and plot the class distribution of a dataset.\n","\n"," Args:\n"," dataset (torch.utils.data.Dataset): The dataset to analyze.\n"," dataset_name (str): The name of the dataset.\n","\n"," Returns:\n"," None\n"," \"\"\"\n"," # Extract labels from the dataset\n"," labels = [y for _, y in dataset]\n","\n"," # Count the number of images per category\n"," counter = collections.Counter(labels)\n","\n"," # Print class image counter\n"," print(f\"Class Image Counter for {dataset_name} Data\")\n"," print(counter, \"\\n\")\n","\n"," # Optionally, plot the class distribution\n"," plt.bar(counter.keys(), counter.values())\n"," plt.xlabel(\"Class\")\n"," plt.ylabel(\"Number of Images\")\n"," plt.title(f\"Class Distribution for {dataset_name} Data\")\n"," plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.169217Z","iopub.status.busy":"2024-01-01T22:27:12.168888Z","iopub.status.idle":"2024-01-01T22:29:01.308185Z","shell.execute_reply":"2024-01-01T22:29:01.307152Z","shell.execute_reply.started":"2024-01-01T22:27:12.169181Z"},"id":"08oTUFv4wUMz","outputId":"6dca79f2-f07c-43d9-c797-b49dc0b446ac","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Class Image Counter for Training Data\n","Counter({6: 5000, 9: 5000, 4: 5000, 1: 5000, 2: 5000, 7: 5000, 8: 5000, 3: 5000, 5: 5000, 0: 5000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Class Image Counter for Validation Data\n","Counter({3: 1000, 8: 1000, 0: 1000, 6: 1000, 1: 1000, 9: 1000, 5: 1000, 7: 1000, 4: 1000, 2: 1000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# # Train dataset and test dataset (all classes) class distribution\n","plot_class_distribution(train_set, \"Training\")\n","plot_class_distribution(validation_set, \"Validation\")"]},{"cell_type":"markdown","metadata":{"id":"vvKljJOOOlov"},"source":["So, there are 10,000 test samples and 50,000 training samples in the dataset. Additionally, each class in the training dataset has 6,000 images, while each class in the validation dataset has 1,000 images."]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.310181Z","iopub.status.busy":"2024-01-01T22:29:01.309825Z","iopub.status.idle":"2024-01-01T22:29:01.316032Z","shell.execute_reply":"2024-01-01T22:29:01.315054Z","shell.execute_reply.started":"2024-01-01T22:29:01.310147Z"},"id":"89LWo8-V85OO","outputId":"ba27368e-682e-4b50-91be-8601dc335a91","trusted":true},"outputs":[],"source":["num_gpus = torch.cuda.device_count()\n","\n","# DataLoader for training set\n","train_loader = torch.utils.data.DataLoader(\n"," train_set,\n"," batch_size=batch_size,\n"," shuffle=True,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")\n","\n","# DataLoader for validation set\n","validation_loader = torch.utils.data.DataLoader(\n"," validation_set,\n"," batch_size=batch_size,\n"," shuffle=False,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.317713Z","iopub.status.busy":"2024-01-01T22:29:01.317262Z","iopub.status.idle":"2024-01-01T22:29:02.219656Z","shell.execute_reply":"2024-01-01T22:29:02.218671Z","shell.execute_reply.started":"2024-01-01T22:29:01.317681Z"},"id":"Cqz05rM2G2zd","outputId":"3716ce30-ff4e-4252-dd7a-73ab2f1eaf3d","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Image batch dimensions: torch.Size([128, 3, 224, 224])\n","Image label dimensions: torch.Size([128])\n"]}],"source":["# Checking the dataset\n","for images, labels in train_loader:\n"," print('Image batch dimensions:', images.shape)\n"," print('Image label dimensions:', labels.shape)\n"," break"]},{"cell_type":"markdown","metadata":{"id":"2LrtfUfqOp16"},"source":["The image batch dimensions are given as torch.Size([128, 3, 224, 224]), indicating a batch size of 128 images, each with 3 color channels (RGB), and each image having dimensions of 224x224 pixels.\n","\n","The image label dimensions are specified as torch.Size([128]), denoting the corresponding labels for the batch of 128 images. Each label is a single-dimensional tensor.\n","\n","**Note:** The initial images in the dataset were of size 32x32. However, to train the VGG19 model effectively, we need to resize the images to the size it was originally trained on, which is 224x224. Hence, we have applied the resize transformation."]},{"cell_type":"markdown","metadata":{"id":"F6D2ye4jqWAE"},"source":["### Visualize a few images\n","To better understand the data augmentations, let us visualize a few training images."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:29:02.224291Z","iopub.status.busy":"2024-01-01T22:29:02.223971Z","iopub.status.idle":"2024-01-01T22:29:02.231667Z","shell.execute_reply":"2024-01-01T22:29:02.230751Z","shell.execute_reply.started":"2024-01-01T22:29:02.224262Z"},"id":"UVKyk5mvTyrJ","trusted":true},"outputs":[],"source":["def imshow(tensor, title=None):\n"," \"\"\"\n"," Display a batch of images in a grid.\n","\n"," Args:\n"," tensor (torch.Tensor): The input tensor containing the images.\n"," title (str, optional): The title of the plot. Defaults to None.\n"," \"\"\"\n"," image = torchvision.utils.make_grid(tensor).numpy().transpose((1, 2, 0))\n","\n"," # Denormalize the image\n"," mean = np.array([0.4914, 0.4822, 0.4465])\n"," std = np.array([0.247, 0.243, 0.261])\n"," image = std * image + mean\n"," image = np.clip(image, 0, 1)\n","\n"," # Increase the plot size\n"," plt.figure(figsize=(10, 10))\n","\n"," # Plot the image\n"," plt.imshow(image)\n"," if title:\n"," plt.title(title)\n"," plt.pause(0.001) # pause a bit so that plots are updated"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":239},"execution":{"iopub.execute_input":"2024-01-01T22:29:02.246913Z","iopub.status.busy":"2024-01-01T22:29:02.246684Z","iopub.status.idle":"2024-01-01T22:29:03.617319Z","shell.execute_reply":"2024-01-01T22:29:03.616366Z","shell.execute_reply.started":"2024-01-01T22:29:02.246892Z"},"id":"Rc15DMnPC9Xr","outputId":"fbb17653-ae4f-49b7-ecef-b477716cb4df","trusted":true},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAz8AAADeCAYAAAATpb75AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8WgzjOAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9efRs2VnXj7/2cE5VfaY7dHc6nam7M0joRIgGEn4RV0DAmIAslEFEvhlA4mKJTGYpuJRJF3EZXIYFThHFLETUEGVQQBCCoss5IQIRyNhJer637/AZquqcvffz++N59jmnPvd2p7tJ0na6nrvOrfpUnTpnnz0+72d4byciwla2spWtbGUrW9nKVrayla18iot/vAuwla1sZStb2cpWtrKVrWxlK58M2YKfrWxlK1vZyla2spWtbGUrTwrZgp+tbGUrW9nKVrayla1sZStPCtmCn61sZStb2cpWtrKVrWxlK08K2YKfrWxlK1vZyla2spWtbGUrTwrZgp+tbGUrW9nKVrayla1sZStPCtmCn61sZStb2cpWtrKVrWxlK08K2YKfrWxlK1vZyla2spWtbGUrTwrZgp+tbGUrW9nKVrayla1sZStPCtmCn61sZSufEvLa174W5xzOOV74whc+7Ln/9J/+U5xz/K//9b8+5nU/7/M+j8/7vM/7PZfttttu+z1d47HIr/7qr+Kc41d/9Vc/6ffeyqeu3Hbbbbz2ta/9pN7z8uXLw/h2zvEDP/ADn9T7b2UrW/nUkS342cpWtvIpIzfeeCM/9mM/xt/8m39z4/PbbruN7/me73l8CvUQ4pzjn/7Tf/qYfvt5n/d5n3Tl87FIBV8f+tCHHtPvfy919LHk7rvv5nu+53v49V//9Wu+e+1rX/uYAW8F1o+HPFHLfT05/Sy7u7v82I/9GH/n7/ydx69QW9nKVj4lJD7eBdjKVraylY+X7O7u8rVf+7Uf12v+4i/+4sf1elv5f0Puvvtuvvd7v5fbbruNF73oRY93cbbyMaRpGr72a7+WD33oQ3zbt33b412crWxlK09g2Xp+trKVrWzlYaRtW9q2fdhzVqsVpZRPUon+35dtfXxy5fj4+PEuwla2spWtPGFkC362spWtPGnl5OSEP/fn/hw33HADBwcHvPrVr+bSpUsb55zO+amhXP/iX/wL/upf/as8/elPZ2dnh6tXrwLwUz/1U7zwhS9kPp/zwhe+kH/zb/7NJ+VZPvrRj/JlX/Zl7O7u8pSnPIVv+7ZvY71eX/fc//7f/zt/7I/9Mc6cOcPOzg4vf/nL+S//5b9cc95dd93F133d13HzzTczm814wQtewD/5J/9k45yPVR8fb7nrrrv4+q//ep72tKcxm824/fbb+cZv/Ea6rgPgwQcf5A1veAO///f/fvb29jg4OOCVr3wl7373uzfK/Nmf/dkAvO51rxvySD5RIXYAP//zP8/LX/5y9vf3OTg44LM/+7P55//8nw/f/9qv/Rpf+ZVfybOe9SxmsxnPfOYz+bZv+zaWy+XGdV772teyt7fH+9//fl71qlexv7/Pn/kzf+YTUmYR4W/8jb/BM57xDHZ2dvj8z/98fuu3fuu6537gAx/gK7/yKzl//jw7Ozt8zud8Dv/u3/27a8678847+dIv/dKNfvrv//2/3+ambWUrW/mkyTbsbStb2cqTVr7pm76Js2fP8j3f8z38zu/8Dn//7/997rzzzkGhfzj563/9r9O2LW94wxtYr9e0bcsv/uIv8uVf/uXccccdvPGNb+TixYu87nWv4xnPeMYn9DmWyyVf8AVfwIc//GG++Zu/mac97Wn82I/9GL/yK79yzbm/8iu/witf+Upe/OIX893f/d147/nRH/1R/sgf+SP82q/9Gi95yUsAuO+++/icz/kcnHN80zd9EzfddBM///M/z9d//ddz9epVvvVbv/Vj1sfHW+6++25e8pKXcPnyZV7/+tfz/Oc/n7vuuouf/Mmf5OTkhLZt+cAHPsBP/dRP8ZVf+ZXcfvvt3HffffzDf/gPefnLX8573vMenva0p/Hpn/7pfN/3fR/f9V3fxetf/3r+8B/+wwC87GUv+7iXGTSf5uu+7ut4wQtewHd+53dy9uxZ3vWud/ELv/ALfM3XfA0Ab3vb2zg5OeEbv/EbueGGG/gf/+N/8EM/9EN89KMf5W1ve9vG9VJKvOIVr+BzP/dz+YEf+AF2dnY+IeX+ru/6Lv7G3/gbvOpVr+JVr3oV73znO/mjf/SPDkCzyn333cfLXvYyTk5O+OZv/mZuuOEG3vrWt/KlX/ql/ORP/iR/4k/8CUA9VH/kj/wR7rnnHr7lW76Fpz71qfzzf/7Pecc73vEJKf9WtrKVrVxXZCtb2cpWPgXkNa95jdx6662P6Nwf/dEfFUBe/OIXS9d1w+d/62/9LQHkp3/6p4fPXv7yl8vLX/7y4e93vOMdAsizn/1sOTk52bjui170Irnlllvk8uXLw2e/+Iu/KMAjLttjkTe/+c0CyL/6V/9q+Oz4+Fie+9znCiDveMc7RESklCLPe97z5BWveIWUUoZzT05O5Pbbb5cv+qIvGj77+q//ernlllvkwoULG/f66q/+ajlz5szw7A9XHx9vefWrXy3ee/mf//N/XvNdfZ7VaiU5543vPvjBD8psNpPv+77vGz77n//zfwogP/qjP/oJLfPly5dlf39fXvrSl8pyubxumUXkunX3xje+UZxzcueddw6fveY1rxFAvuM7vuMTV2gRuf/++6VtW/niL/7ijXL+lb/yVwSQ17zmNcNn3/qt3yqA/Nqv/drw2eHhodx+++1y2223De3xt//23xZAfuqnfmo4b7lcyvOf//yNfvpw8sEPflAAedOb3vR7f8itbGUrT0rZhr1tZStbedLK61//epqmGf7+xm/8RmKM/NzP/dzH/O1rXvMaFovF8Pc999zDr//6r/Oa17yGM2fODJ9/0Rd9EXfcccfHt+Cn5Od+7ue45ZZb+Iqv+Irhs52dHV7/+tdvnPfrv/7rvPe97+VrvuZruHjxIhcuXODChQscHx/zBV/wBfyn//SfKKUgIrz97W/nj//xP46IDOdduHCBV7ziFVy5coV3vvOdG9c+XR8fbyml8FM/9VP88T/+x/msz/qsa76vnrrZbIb3urTlnLl48SJ7e3t82qd92jVl/mTIL/3SL3F4eMh3fMd3MJ/Pr1tmYKPujo+PuXDhAi972csQEd71rnddc91v/MZv/MQVGvgP/+E/0HUdf+Ev/IWNcp72+IH2v5e85CV87ud+7vDZ3t4er3/96/nQhz7Ee97zHgB+4Rd+gac//el86Zd+6XDefD7nG77hGz5xD7KVrWxlK6dkG/a2la1s5Ukrz3ve8zb+3tvb45ZbbnlE1My33377xt933nnnda8JfMIV7zvvvJPnPve514TqfdqnfdrG3+9973sBBSoPJVeuXKHvey5fvsxb3vIW3vKWt1z3vPvvv3/j79P18fGWBx54gKtXr37MPZxKKfzgD/4gf+/v/T0++MEPknMevrvhhhs+oWW8nrz//e8H+Jjl/vCHP8x3fdd38TM/8zPX5J1duXJl4+8Y4yc8lPKh+vNNN93EuXPnrjn3pS996TXX+PRP//Th+xe+8IXceeedPOc5z7mmnz73uc/9eBZ9K1vZylYeVrbgZytb2cpWHoN8Ir0cnyipDGxvetObHpLeeW9vj4sXLwLwtV/7tQ8JlD7jMz5j4+//V+rj+7//+/lrf+2v8XVf93X89b/+1zl//jzee771W7/1/1kGupwzX/RFX8SDDz7IX/7Lf5nnP//57O7uctddd/Ha1772mnJPvVtb2cpWtrKVRydb8LOVrWzlSSvvfe97+fzP//zh76OjI+655x5e9apXPepr3XrrrcM1T8vv/M7vPPZCPsJ7/+Zv/iYismFVP33f5zznOQAcHBzwhV/4hQ95vZtuuon9/X1yzg973idTbrrpJg4ODvjN3/zNhz3vJ3/yJ/n8z/98/vE//scbn1++fJkbb7xx+PuTtaFnrfPf/M3ffEgPx2/8xm/wu7/7u7z1rW/l1a9+9fD5L/3SL31Syng9mfbnZz/72cPnDzzwwDWeqVtvvfW6ffy3f/u3N65166238p73vOeafvq+973v417+rWxlK1t5KNmajrayla08aeUtb3kLfd8Pf//9v//3SSnxyle+8lFf65ZbbuFFL3oRb33rWzfClH7pl35pyHn4RMmrXvUq7r77bn7yJ39y+Ozk5OSakLUXv/jFPOc5z+EHfuAHODo6uuY6DzzwAAAhBL78y7+ct7/97dcFG/W8T6Z47/myL/syfvZnf5b/9b/+1zXfiwigZa/vq7ztbW/jrrvu2vhsd3cXUFD0iZQ/+kf/KPv7+7zxjW9ktVptfDct8/Tv+v4Hf/AHP6Flezj5wi/8Qpqm4Yd+6Ic2yvXmN7/5mnNf9apX8T/+x//gv/7X/zp8dnx8zFve8hZuu+22IeftFa94BXfddRc/8zM/M5y3Wq34R//oH33iHmQrW9nKVk7J1vOzla1s5UkrXdfxBV/wBXzVV30Vv/M7v8Pf+3t/j8/93M/dSMh+NPLGN76RL/7iL+ZzP/dz+bqv+zoefPBBfuiHfogXvOAF1wUbp8U5x8tf/vJHvd/JN3zDN/DDP/zDvPrVr+Z//+//zS233MKP/diPXUOB7L3nR37kR3jlK1/JC17wAl73utfx9Kc/nbvuuot3vOMdHBwc8LM/+7MA/M2/+Td5xzvewUtf+lK+4Ru+gTvuuIMHH3yQd77znfyH//AfePDBBx9VGav86q/+Kp//+Z/Pd3/3d/M93/M9j+q33//9388v/uIv8vKXv5zXv/71fPqnfzr33HMPb3vb2/jP//k/c/bsWb7kS76E7/u+7+N1r3sdL3vZy/iN3/gNfvzHf3zDewHqkTl79iz/4B/8A/b399nd3eWlL33pQ+Yuvfa1r+Wtb30rH/zgB7ntttsecZkPDg74O3/n7/Bn/+yf5bM/+7P5mq/5Gs6dO8e73/1uTk5OeOtb38rzn/98nvOc5/CGN7yBu+66i4ODA97+9rdf42F5LPJYy33TTTfxhje8gTe+8Y18yZd8Ca961at417vexc///M9veNAAvuM7voOf+Imf4JWvfCXf/M3fzPnz54d7vv3tbx9C9P7cn/tz/PAP/zB/+k//ab7lW76FW265hR//8R8fiCA+Wd64rWxlK09yeZxY5rayla1s5eMqj4Xq+j/+x/8or3/96+XcuXOyt7cnf+bP/Bm5ePHixrkPRXX9tre97brXfvvb3y6f/umfLrPZTO644w751//6Xz+ish0eHgogX/3VX/2InuG03HnnnfKlX/qlsrOzIzfeeKN8y7d8i/zCL/zCdSmE3/Wud8mf/JN/Um644QaZzWZy6623yld91VfJL//yL2+cd99998mf//N/Xp75zGdK0zTy1Kc+Vb7gC75A3vKWtzzi+jgtP/uzPyuA/IN/8A8e83O++tWvlptuuklms5k8+9nPlj//5/+8rNdrEVGq67/4F/+i3HLLLbJYLOQP/aE/JP/1v/7Xa9pRROSnf/qn5Y477pAY48ekvf7yL/9yWSwWcunSpcdU7p/5mZ+Rl73sZbJYLOTg4EBe8pKXyE/8xE8M37/nPe+RL/zCL5S9vT258cYb5Ru+4Rvk3e9+9zXles1rXiO7u7uP+L6/l3LnnOV7v/d7h7r8vM/7PPnN3/xNufXWWzeorkVE3v/+98tXfMVXyNmzZ2U+n8tLXvIS+bf/9t9ec80PfOAD8sVf/MWyWCzkpptukr/4F/+ivP3tbxdA/tt/+28fs0xbquutbGUrv1dxIqfiA7ayla1s5Qkor33ta/mVX/kV3vnOdxJj5OzZs493kR6V/NzP/Rxf8iVfwrvf/W5+/+///Y93cT5h8pf+0l/iJ37iJ3jf+97HbDZ7vIvziOXmm2/m1a9+NW9605se76I8KnkilPvNb34z3/Zt38ZHP/pRnv70p1/3HBHh4sWLfOQjH+EP/sE/yJve9Cbe8IY3fJJLupWtbOVTQbZhb1vZylY+ZeQjH/kIN910Ey94wQs+ZmL8/2vyjne8g6/+6q/+lAY+oM/51/7aX3tCAZ/f+q3fYrlc8pf/8l9+vIvyqOT/xXIvl8sNZsDVasU//If/kOc973kPCXxA6b5vuummT0YRt7KVrXyKy9bzs5WtbOVTQt7znvdw9913A0rX/Dmf8zmPc4m2spWtnJZXvvKVPOtZz+JFL3oRV65c4Z/9s3/Gb/3Wb/HjP/7jfM3XfM1D/i6ltJEL9/t+3+/jWc961iehxFvZylY+1WQLfrayla1sZStb2conRd785jfzIz/yI3zoQx8i58wdd9zBX/pLf4k/9af+1ONdtK1sZStPEnlcwc/f/bt/lze96U3ce++9fOZnfiY/9EM/xEte8pLHqzhb2cpWtrKVrWxlK1vZylY+heVx2+fnX/7Lf8m3f/u3893f/d28853v5DM/8zN5xStewf333/94FWkrW9nKVrayla1sZStb2cqnsDxunp+XvvSlfPZnfzY//MM/DEAphWc+85n8hb/wF/iO7/iOx6NIW9nKVrayla1sZStb2cpWPoXlcWF767qO//2//zff+Z3fOXzmvecLv/ALN3aIfigppXD33Xezv7+/3RRtK1vZyla2spWtbGUrW3kSi4hweHjI0572tGFj5YeSxwX8XLhwgZwzN99888bnN998M7/92799zfnr9Zr1ej38fdddd3HHHXd8wsu5la1sZStb2cpWtrKVrWzliSEf+chHeMYznvGw5zwh9vl54xvfyPd+7/de8/lnfc5n8KG7P4IDnIfgwXuH9+CDIwSPtyN4Twj1CPho753HeztC0FfncMHjnMN7j7NznB/Prd/Vc73Tw02v5wPOuVOH/hb7DvtN/d7bKwAOrufXcgB2jpt8qO+FXAp935NSout7+r7n5OSEo6MTjq4ecXx0zNHRMblL9F0i9ZnUJUrKeO8IAbzVZ4zQNJ628bStp2mgbQNtE2iayKyNtG0gRn3mEMJQz0OZaiEFShFKEUSEnIUiQilQRMiif6cEfRZSEvqsh+AR5yl4BA8u4KxNnPM478A5RAQp2GvR+9hrKcXuV5BS/y5IAYogRRDR7xAQhKfecDMv/wMv4X0f/hf0+QQE+k7oO+h66NZCToI4vT/OgYemdezve3Z3HXv7nr09RwiOkkEK5Awl62tKepQEOYErDorDF3DZ4XA0jaOJ+hobhw9QgOK0nOKELhWWfWGVMsuUWPeZ4PxwROeJeFIPqdN75h4kaVuHADE4gnO00dHOAu3MMWs8zcyTemG5zKxWhRN7ReyRPWPfdQJOEGdt77TxHeCcDP3CF48HfHE4cYhAsUPQvuCnY9o5vNdn1WcXCoVStI+kDCkJXdL7hwghOELU37czaFtH20DT6nu9ll5PnN4zJ6FkSFnf9wnWS1iuhPVSWK2g78f2ytaOAvb84/gUGfu4iB51bAWrtzrc/8AL/3/cfO6Z/PTbfm4Y6yJF29fqpAYp++vNDENdq5Q66Ib/7ZqPwFvuvAecdWmd68IwT3qcG2/lEW3yUnBSDx1D2DMjDhkOKFK03u00vJXdC97BfDFjsbNgvrtgZ2dB00YOT1YcHh9xtFxy9eiEPvW0Tvtr46Bxjp0msLdoONM2HCxa9mYBj6PkgoiN/1Q4XnUcrnsOjxOH6zUn60xyjuw8xXmycxQcIPghMlxsvnd4H4Y1ZW9/wf6ZHc6d3WX/zA4HB7vM2kjTNszmDW0bEYHLl4+5dPGIK5ePePDiIScnHTlBKoVchNQXmwMLJevcVGzuqtHp9e+Hk1L0+9p2+l7Xnipf9RVfzAvveC633/pUAGbtLvsHNzI/OGDn4Byz9gwxtrqODm3vhnavhwAZSCnTp0SfOkp/QlkeUU6OyFePKUdX8bmj8dAERxscjXe42EAToW2QNur7JiChgdCCb8B7nNTuoXOIThJrpO8ofQd9h9gEKqXYoEyqFHgPLoJzOB9wbQtNi2sjLrQQW3AB8RF8BD/T36EPKLWXS0HKGpFeJ83SI7lD+h66tR0djoyXWlbB4SC0iE5GEBpoGlw7gzjHxRbifCjjxqIvRScZyfZsCck9pe/IfUdZd5QuISlR+oyUHkk9JWdyzuSUyDmRJJO6FetVx/LkhOXxmtXRWp/NBT18GNYucYI+hL0COLHi1e/AecF5QTzDuppLIUsZ+mCf4X33N9zymf8fO+duRwT6fs26W9OvTui6NavVkpOTFcvjJSfHS06OVyyXPTk7nTeLJxcH+A0dyXlPDIEYIzF4YojEpmF/b5ed3T3OnDnDzu4uBwfvoWlWNG2ibXuamIHA8dGLOTosHB1d4vDwIkhiZ2+X+d4+u3t7zHd3cOLJvdCvCrnXMeqd6pYuOnzwNG3kzMFdnD3zAc6dOeJcOOLyfzvk/168woUHrnDhwlUeeOAqfV8IcUYTI20zI8YZs1nDfNHStjPm84b5vGU2a5i1kUXbMp9FXtQEYulx0iGl5/9Ix7lG2L2x4crzGq5cablypUU6YTesmMeO3bhmHtZEJ7a2O6LTdbDQkEtLIpKlIRMooSeFnhw6su/ofc+aRFc61vR0ZNq44uD/rDh7dcnZSysuHK64nQU0Z8jxLLk9ILVnODq7z+GL9zns9zm6fI7l4XNo3IdonTCjEJ2wM1ty5uAyBweX+d3fucTFBy9zdHjM8fKYo+MVR8fHLFcr1UebQDt3NE0gtKpX40z3HvRox/Lyggc+vMMP/vCPsL+//zHXuMcF/Nx4442EELjvvvs2Pr/vvvt46lOfes353/md38m3f/u3D39fvXqVZz7zmcQYbCDYPBfcBvjxpoT7MAU+dkRT1P0UrBgAqqDH++u8bgIi7wxgubo4hI3rTQHPxqtdA38t+IHJonWd+puG+k31mPo+56zP33vwDuehTw1NE4lNIEQFKFLBYS547xA/qb/JEYIbjhgdMXpi9DTNeMQYBmBZ63hceLVcCkCuD36yCL7o386UIJwgXhAK4sIIftz1wI8fwE8pxYCW/k1xSBFccTjR1/FvfT8eNvmbshljYDab0TQO550pcoyKerZWqgqvLSAxKkhpWkfbOmazEfyUKfhJYz1nbS4tVz28w1fwMzmm4KcY+MFDdkL2ThU5VDGMbnyNuhxjGAR7VIJ3RAM/0SvQahtP2zjaVoGvdwoGcoamF1LUuvAb4EfrQQwA4UAqLqx9YQA/Di/uFPgxhVgchVPgx94PgMVBQRfIqeJfrNMN+kZUQN80aP210A7gx+oRLWcRbYecwWW9J07bKSZIdq1SAJEB0FRdfwA/9pC1v2j/H8GPt7b2YRzjTRNp23aYAwBTodg44JGBn/Ea10wg1550zSl6MecY5sPNee064IeJblQftji7v6qCBTcpzwSYDRfQeqnAQpUbU3BiUMOVV2PHMGd6p3XpnPZj74nB0wRPGw38OOtfRftXFzzRe4LXseHtqEaM4pyNlM0qdZNzvc2XIYShnKNBqKGdNcxmDW3bIAKztqNtIk3U80PwNs/oXOO9zpGnG3uY04Z2+VhtN75ugp/xt23bsljM2d3RzUZnsx329nZZ7O+xs7/PfHbwMcFPldPgJ/eBEqF4yAWKJHyONB7aKfhpGqRpoG1gFpHGAJCBHwmNKje4jT6mE2dj4GeN9A30Ffxk5DrgR9eIAG2La1tc24zgZwA+Cn7EBWrDK0Bwdu3WwI8qoaQO6TvoIqwjdBEnWYGaCM5NwU9j1qUKfua4Zg5xhpuCHzfWrhjo2QQ/HaUz8NOsJ+DHgNEG+OkV/JRMHx2N93gp+Aw+2dxyHfBT190NoIMM39XPvLf3p8FPyRQD7E1xzGYti5095jsHAMR+jY8rgg/40IAL5BLI2ZOSo+89KXf47CjFUYrH5Qn48XXcT8GPvjZNQzvbYzbfY77YZ7Gzx2Jnj7YNNG2iaRQAOSIiB+ScSaWnTyuQxHyh5y9291ns7o7gJxRSdwr8NPratJHdvSvsHeywf1A4CJm807NzsmYxXzGftczaBkchNg1NbGiblhhb5jM9ZrMZ83nLYmHgZ9awY+DnoAnEEkEClMCeePYbYXevoRy0CmRyBT+ORfTsRsciOKJX8BNPgx9p6Ynk0hr4iaQQSMGTg6f3nobAujginkhiFgt7u5n9lDhYJVZ95AAdvzm25HZGms1xuwvkYIF0O0jaxck+rdulRZi5QuOEnZlnf7/j4GDN3t6S5WpGyT2FnlQyOTc6bwRHrOCnDYQ24E33Ow1+ZN0ym7WPeJ58XMBP27a8+MUv5pd/+Zf5si/7MkAtWr/8y7/MN33TN11z/mw2u+5u4AKDAuKcKbEO1WIENjWTehS1QhaHuKKnbnytC6A4oIzLswxLlNP3Xge3YEqzE/NI1LNVQfPOI05fdfa2VwAvqiQgDLat+iy29FbFYfoy1WZErtVlqqXw9HGNGlQtKMP7jbn3ujJe5dqTrvVybYKf+n5jcQZbJOxzufbSG5Zq+/3mk1j7iFrKB6V00m4PeQinPoPrFSM0DvFVybU+YHUWEtZ8o/IfTcFuGvWeeT82/dRyqhZz+64e9p1HFbAgqtSF4HQSCwZ+nJDNNplt3QoiRAetMzCLIwBh8kpBR76tbzJRHBVD2mSCKvlqTFWwmqtHpOhRq7CUoQpq4dWAan9XAKTtp71bDASX4nEiOvbMG1A9AoN6fLrRHUNZvWfwMnnGic9HUS9mgBAxcGdH1M/EfpNrm0/Hlv1Xil0jOELQa+YMxe6jIFjG4rla5nFeKZM5RitMzytl7GeG2Te9NKf+HgzRp8p6Wh7mq0chNo6cPohwqnJOj1Pq2Jn+P5alDH/LCDit/00vJWbVDSEQ24ambWlnLW1KxLYhdJEQAjnnySQCm2r5CLagjtnpdx9b6i9xkynbO5om0kT17DRNYH9vh/39HQ72dzmzv8v+/q6Cn7ahmUWaJiIirFeJ+aJjtlwzmzWkVOhc1u4g1hFqR7lea3ycuYmCDzTNHIDYzghNQ2giLsTRcDco4jouHQo0x/oZq15Biqe4YEpJMMOeKdj2eFlQr7Z1CBHUijNMHGEyGUZrhcmzOxDnEe8R7/SnTNY6DSUAW1fUwaGlc1NvkA+4AfRUT1Nja/apurcIDWTsRzqexdYbnSg82q+9jOvqsGi56ub143tXn9esIIPXyeEKCkKymMFP+3NGjYU5C6XPlJQVAKWMpEwpiZIrEFH9ZJxT7Z7BgdQyYMYzx7BqFluYBPBFi12gWsuqlxwBsnorcymUknVtEAXrKWtd5VzIOSMipJRIKZNzMa+nejjH+c/qyPQhq1qtlqB9xrtxzsceZZwbdYYpdt0+Pw/69yIsBwOII9AlIZlHyYdG+2+IatiwSdo7BfExghOHd0HX4hjwjcdHz6w9Zr64h8WiZxF6Vu9JfHSZ6NaFPgmlaJ2rgT4QYiQ2erSzltlizs5ih53dOTs7M9o2st8EboqRW9pANqOrzwVXCs8umWNfYB7swb2ZB3QtzTnSk/G5UKKCH3AQbNk341XwBU8ihEJyPfgeQgafya4QKMQiasBAaD20YmDIeYoPfCg03N625NmcfrbDeneH9e9b0Pk53XJGv9olr8+S/Wcg/ncRf4wL1hnNeuvmAe8jzke8jwpuXIMnWYN6dYIWj0vad4NTBcDb2GYydB6pPG5hb9/+7d/Oa17zGj7rsz6Ll7zkJbz5zW/m+PiY173udY/8IpN1QgerKnbiphbZGsqkE4kUb9Y90NCcqiIPahbiHMUJ3hUKXid0Cp4wKr51svUaeuOcp+DwzlPQTumkTm7eGkqBlXcBhUqmTfuqAY8TpatWSOC0lqFKxrXgo9bFEN4lY6iHSA2ZkQGAjMeotGNgyE0mlqosXLP0TtDS1MJYvWMbpzEqUXi1Enmv2l+ZKBcbask1q6sbgeHw+ApIq1Y5AFLqolTGPjA10dvr9dSgUYkbqyA02IJhVvuggCg25v0Z6ksfNjaO+Vy9PrHR0CtnWoN48PabYs3vRa1nrjBalu15I17DD0P1yIDzjmyLe0IQV/BeiB5m2db27MxQpyF0XpxFpGkbe6egSbK1G/XQ/lVtBSmpAtj3NbxM6DMkm8CcVZSvwM6LWubr2hqG5hvqyaHPWgw5OWEIiapNVASCLdjeCcEaxTkZdQZDXD45goccICYdoSGa5yiqlTKakbmxIzY2XgwAVQWhKncYuCqo1ycmISRHSBBKDXVTb2FO9iymLE/70rTLgdZp9dpVYysogKq/2fg9XKuMyccGOOXUdR6NyMTToGPHvKpSdMFy5qWcXL/qR/o8A3S4/mFzUrbfT9ct54DgCU1DO5sxW8yZL2b0JdN2PU3TDR4gTy2HKXET0FOwMDs3KlWq0jjEwmcrCBvrajrTmVFmaFMhRMesbZjPZ8wXc+bzljNndjl7do9z53c5c3aPM2f2aNponnZPbIIqYV1mvero1h3L445cAHpEElkE1w+LlnaSyTozlG4yl089O49FfGhoZzsAtLMFcd4SmhnRtxYCrh1UUOOAKxqSiHnapnd2jKFI3kXEB1wIuBBxvhnAc0HDkB2i80IGKW7o5K4CAwMmzscBUDgRvJ6GSLB12m32qVKQrK/OrGku2JznaoRGAG/l8g3Ot5MwO/US1T5QV3tth6A91dXxN7aFFNH7OiHUfua8emgHIOcGt69GKgSciwoOh/hXq/ParsW8MEU1kIIjGfBJKZN7BT7S95SUKKlHShpCuiuoKNnmVxxS426LDuJhfnG1harukG0hFHtst6EzDeHNKHjPORvIUUADkKWCn0RKaQJ+ej36fgBCuRTKoDMpyhGq90dbJDjUAWJzZxkfwwCQli1LIZVEyj1dv0eR55LLJfp0FyEEHJ71WkOlRSIhzvAuEmIkeG/NlXFONEoINQ5K9DqmYyC0a0K8xGx2zP7+Cfvtmv3f7fi/93VcOe5ZLjNdB7k4xEVcKLjYEJqGOGtp2zmz3QW7e7vs7e+xv7/LM/d2mEfPDcER96Dc4FivhHDBEbPgk7CfMouQuXqrhovoeq5jp0ikS+CykMUza4oCNxy4okYAw/5NU3CxQyL0LuPXPVzM4BKFTLk5UxobSwXaB2GWPTMJZN9wGAqhnXG0WMDODqvdPU6ec8Dxjbssr+yyPrqJ7uTT6E8yoWko8ZkQfwewUGIBKYEbbo1cuq8hhJbgeoJPeJdwpGFe0CiZinB1HBPcEI0FY9TUI5XHDfz8qT/1p3jggQf4ru/6Lu69915e9KIX8Qu/8AvXkCA8rNisZ+vSqOBPwmAEAxVOdKS4eq4pI2VUlosBErXyiFog7dOKrMVeoQxhWF40VtyLVyVU9Dv9W4FAkTHErTi7j32G6GQoqFIr1ZQxUfonSGRQzDeqYvigxoznAQQNiv9kIq8en8EQNXhrNm7FcMNqIarqgDv9nbMQtGl4n53ixlPB2seWtIJTxd+pUmtq9wCYxjMngMQxAtjhgqZsVSvc5HUT8NQOMlHFpib562qJjthqGBqoMh0SxOworS4sY72ZNyjCfAGzuSrZNapgaCuH5vVMQI96gAyYUMNxNE+niRayZZEhLlTbGBXqEbzQBLuOOEJRdOOK09whey3D9dV7MepZGn6mdaBAJBfU8oiBn6TWrOoFElPY3UTLr+Cwhnfpc9lA9TJaaLIBUANRujiPIMjUzhH42LAIDmIFoNENOkXMaJy4VYwLRe8fCs5bSoHl+2j0iZgF08CWFSlbaJ2GWghR9PyQnIEgyFlwnTVjUQunlA379Ah22OxWtauUU+MiZz27TFXxKZDaQECbIEs7JtfKdfrzo/EgiIhZ8wtOTt3AFJLi6jNpA0lFdyI67030eaEMlkTtdqOhquqHglPlu4k0bct8Z8FisWCVMu1qTbOOhBhw/ST4r87rdYzp7bUmSx0lXu9a4zRNkdf32UI1AVf7qBseUr8qxOBoZ5GdRcve3oLd3R3Ont838LPP2XMKgDRET0M2YvCknOnXhfWyo1t2nOx09CkjNkf3KVu5q/qJWTuv58F/6LacniOCenCwMT1tPoEQG9q5gZ/5jDibEWKDD5Fo4SSCG++N6syIgWLGLqhV6Wz91BwaMfCCj7hSbB0q5hUQ8/yMwAdT4DS8qYKfxoou5nQwpcl7ivc6f7mph8DWu1xsLp2ElFcgQjAA1ICfgW8VCAXzAjldg8Y1QajeGal1wsSbmwXJmAGWYR3w4hBfAZOF3Q2ep4kXypt7errWWz/U+xaK02fNonNUSoXUF1KveT65T5rv03ca+idia7/2iVwcWRT04xwuREoQa18U0Dhdi6Rk1SEsikLL4Yb5u644ZQDmCmhzLiQLuUuK7Cno+E99ous6ALo+0adE1ye6lOlyIlXvVL1lredS29WmMuvD3o1tXxdCcULxQnE6glLR8qTUU8oevd/H+6fg3QdBZuSyQ05LiouE0OJ9JsQGFwPOqY9NpwddcFxQQ3hoPE3sCbPfpWmOaecde/M1ux/oeeC+jkuHHceHiZNVputF1wanvw8hEpqW2M5oZjPmOzvsHuxxcOYMt53b58bnnKXMPD0dq1iQmSaUxltAPliIJxm/DvqsxUPxONHQ3iyOLBFXHOviSZLIpTATm88ieAoxFsJMcDET7yzkw0KQhMuZ0mWkZIIrNA8IEgrudnBzYXbBMSswE8+xD1wODfO25Wi+YHGwy+rWfY7OnuHk0oLl4XnWR8+nO4a06kjZUdp9RM7h/X0a8VSgFMeNLvDBEAmhwfsW5zLeZbwr5sV1SGY0lHk1ajkDpNGiVMMTxfMD8E3f9E3XDXN75GJKrr2tOoO4SQhctVyIh+oBcvUwr8EAf6o3p1AIFh9pfh/Rjl8thqBAB9FBWAGO945iVibE8l7ED39704KLqGXNoROiWJCTKvd6bSc6aEYkVwGIKRq1FmT6KpsL5iRh9nTo2xjXPyY2j96gqlyNvpFp/sGo7kx/68ziXy2A9T61fNVyWJ+h1q3Fczs3uS8DkBgBD4NHbLgmFkIlYykHjw+oIqa1MnxXFzXH6A0b6oTpdUeJrRtyP6WAZHXFStEJ2lWlyZoqBEczG0Pfgq1t1LyhotcZPDFiOUgTz08Qp0QFeGJgAD6thknTm12y2BHsuTT8DYo4JCkAoneIhSAUp8CqeJCgljXJtUz6vg6bYon8RZRQoe9HIoqURb0VFTwZigjeTcLEdH23ITOAJAGLNZOhLmpIiYJWA5oo2FEnqSOa9Rfv8MHRaE40JWu5JTuKucEJDu8KLnjwpYbbD8AntuO0Ub3wfqKED4uqWNhcPRpIycLtGMMC1bo69MLhfe27g8hkVE1016Gur4NYxn556oOPIaevdBqIPfQPZfJ2akio340GkGnZ3MZPJ/k+MvajSnSQq/I0mWcGW0rwGhZiHpbF7oKTvqM9mdE0zeCZUGOvDPPiqJzqAllElV7NIQMsoEWmZbOHGItdZ1g701GvSAie2SyyszPn4GCXg4N9zp8/4Ow5BT/nzu1xcHbPCGAwsh2nyt46sTxZsV527Oys6fqekgt9Lvi1rUNTw82plhpBzQhurtcRZHgyHUvVK3a64UMMtAsNe2tmM2LbEpuZKSG6dtUcvPqKzfdehuVouFfNwxAXERcpPmr4m4/gCkLWa4jXZ8hqGFHWFj00p6qGzGkYDNSlXXQOLlBcGJTfCqKLMBDZ6GCy/uFrazpw01C3idcnaFkHEGKIVxhD06XYOl77jIGLYutsMfDjvHodXV3XbUKRwTBong0fqOF346TjDHxpmDUiGuJn18o4UtHQ477PpF7zfXLfU1I3gJ865moLqfeken7ciGKpw7quI/bPcnekhmNW8FNqXWsfrQbWXAopFSVZSEq2oNO4hzmknHB9DyKkpCRMmiOmIXDJ6q8MCGeIr7E8YevvHouosXr21nXqGmNtViSTsl4/9D3O1VjvFtzvAzmsPQIh4OOMGPLg+VHPZsY5Cwe3/PDgPLG9k6Z9gDjraNvEbLFm79413L/mQ1fXXD3sODqqnh8NrRMCzjtCbIhtSzOb0c5nLHZ32Nnf4/bzB9xw+1O5zLMpqwXOX8ClDtddwocjygy4I8OVRHhvT9kR7Td9YAjnxFMK9MmTUsDlqG3o0BDwIkRXiKHHh0T8YObyRxN3rxPPJdO6QvYKfKMvylYRCv5Q8OeF2Qpm2RHF8wEXWUcNly07C9Ltu6zO7HF8+QaWR7ewPLqF1XFhfdSRu0QsnsJCc8yi4CuoKTpfhNASQsL7RPAZ7xKeTEEXxZJtnkf1C+KY7xkM/Hh/7Vz4cPKEYHt7KBmUSDAlpbqgDc5Yvo3m8WSLm7VFPItNyNUyaQqzD7Zgir6KumJd1eBqjKV4qEp+XWS9H16r90bBjyXn4ylSDABNvEhuGLmoUlEs7tjZ5DcgklNa1PUAUJ2IN5mCBuXFfjaZZ4eFyw2TnC3+FTxOABCcUsDse2cfbOb82Gl17XVOfT1mfMWpIj6e+1Bq2bggjPecLr6jUqCLkS2HMgLaCoigdoFNFUhO31vchvcptgomgInjyJkyP3lOK5/3GvoWG0doVFHHvCze6mLwihTREDXziihGUiKAgajAclZGz89kccAUyTqZu5rSo+BHegv1cQogak5b8SOAKxVAWPiWDJZ71Vqzg9Qr4EnZPD9FXwfwYu9LUPA1sAiosXWiPFt9F4a8n3puZQSrdRqcU5DkUW+MKBhyvpIZaDKn+LqoG8gTvaeCGO1wsdHQtwpgYjNitgEAVQ28Nqs4iuUHhZqLnSF0ZiCggh89qI8pIxjAgFR9P3jasPcmJU/ue0qu0XPlkYGYRwx2rvmdtouGvY0WZDVUTOaRyQh0G6+T3AgqqJv6XEfFsV6nqmPiHC4EQtPQzFra+Zz5zoL5ak07a4lNo2Q3PuBEE5DdUOoJ+EH7exk8GPXe4zlTH/BYY2hJB9Cj/cijfW3WNOzszNjb3+Hs2X3Ond0fXs+d2+fM2V1CsPnDQsS6vme17Dg+WrE8XrGzM2O17ui6RFwnM4TpwBuBz1iyKfCp81qdtx+r+BiIc00Qjm1LiC0hNEYEpBNZ0ZuaVV5rrZghovZHrZ8KXNRgNwU+zgf1Bg1AwUEZw97q2K/hOxpxoYnN+KDXF2tfpxpwMUBQ3NiGNcqh5Or5kWHOcFLXY2/5SBFvYW/V8yJGrjB5Km0TJ0POj1TXgzB4PqSMRD7O25qAeX6GBcsCit3E6zON3a05P5NxQ81rks1nzVJDjzN9nyh9r+Cn78ndegj5c9R8K6fztdR1wMLeJgbCapAoUsiSFcwUjR7Bj/WhRgLL8cmiuUUiCnh6O7pEXied432EuZIwub4H1AukoW9pI/8ni4z1VaNvsDWrlI3oDyo4dM68t26IBhFjAc2SSSXRpx7Mk6XrSwDZI4aeGDD235YQi5Hj1NzXQvBFyUm8owkQQ6KZPUDTdrTzjqbtmfdr9u7teP9Rx9GxAp/jk8S6K3S9kIuFOAaPbxqdv2Yt7XzGbGfB3sEuZ599I5flVh68cIzzK0LcITRnaeINxOYKTt5HkA63G3HP8pTeD33KMYLqXEBSoHQCvbaT80KMQtNonYgX3N2Zw3sKHzjpOTnpeK8rPN8LTRCSK+RQiLlAFNVPLsEsOVrxXCCw9kIfoLQzZD4nHSxYH+6yvPJslsfnWZ30dCcd/bKn9IVCRHyGRvWdgQ20eGQe8DdFwnFDcI2GvLkWR9IxUxSYY/00RqdziM1/I/h5dPPfExr8eG9Jy1K9xzVpuyJC68iDFdoSx+v33isrmnksRkYb/XxgFhnY3sZrO8/INOewiX9iwGHU04dl1jQDdesyrG0O7RAV3LjJSeI0SEmGjPF65amMCztSqZwt32cAQTWYYmLIcYzP4jG2NwZK4Q1vjnMbTzR9Mp1wRrADFQS4UflDkfuwuAzn2vNuqGh1YZXxWjB4fjZCAyY3dJj1viYImg4s3iEaYEcN36jsBbqAFaqVtOodg1XbT24uFeKNxXX1M2f1ZVS9Lhj1us3NgwerXt8oryWNB/W1uiw3Fs/TVS9juewjP8lvGCzcUq2Q1gsN+IwLhZuELckkP4IhjEOs4LkCFca+o7YDU45rsUXzV/oCuUgN4cdFsXA9GR/J7BGu/s6AVDViOPt9JYUYK0L7Uq1bJvceupKNtyGfTBgJJ9wIXjaqk7EcNQyjUlnnPIKcNKG4rgx+NSl38CbWOhm6ttsEP1LPnf7u+mDl9Ih/LIDm4yWDV/S06+e6546gp+K8TRBkl3CT8V2ZOhtjb5rPmM3ntPOWZqYECLFpiE3QcE5rsAoM1BItJOt/YgavUsZXTcqehC5NystQJmOO854QHU1w7O8vODhQOuuzZ/Y4c3af/YNd9vYX7OwoXe2sjbaujPMsFGV6sy0ClMHOK3mJgayplx6uDXH7eIur+S8wKuTVGFhPkumYsgF0eu6lfjSuF/XBN/JyxDwyqVe2NKq+74Z7OQsX9+JtXSwTKKv1RO6RtKJ0a2TVIUulfRYLASv26jxGp5/wxZPFE5tEiYniE7gecb0Bb83PkRomSA0m1gqQki2ZP5FLVkazbJ6PMvY7Vw1iWL6L5TM50cgBZRnVtval4EpCcrRwsrHOAErJlJzIpSPnnpw6+tSTup6+6+m7jq5fU1JH6jtStyKvV0jOxpJX85s8ORf63NGnTr2QqbfwSs2PUfCjICblTO4thK1UADI2tYhtS1EEScbYmjKpy+qFWicNnxKpfBVIthAmEcv/MXbAvqfrO1JSIAXggo6NKtGD92osDq0jtJ44C/reB6LX+SI61eGqQUCkaHvl3vKRHCU7clZ3UdMm2phpmgxkvY7TfJ7ZPLDYCcyahib2xHBIEy7ThPuITU9oMjFmQlNo1o648hyJ5twIDbikBq/oCOIJ4ogx0s53me3sstjbUzru8+d43h1Pp3O3c+X+K1y5+CDNbM5iZ48m7DGLeyx2E4u+5/C+FXd9YMl9J0c46fi0G+acf/YCv3CU0nBcPF3v6YpnvfZ0SzTsrhhYlUIiUYJHboSdK4m9dWGVCm1l1g02rQehNBmJgjylUG7M5ONEujNwo+u54qB3sNvA3GVK7GjbJfPFh5DioRwguaGkTJZCY1ETgy4eHaERYlO4mjP9PUmBfFY92aPU5amAkE1XA2zurp7MYoQMOl4e3Xz5BAc/Cmj0fT3cEHbjJxTNmuPn7e+6J02lcJ28ugpy7NU5o7Iek6sqCDrt5RgOsHlsGjIBGHrVt+OED6jyXhPSUW3PGYWJjHFVegyL07gCjfkSDJ6fCoA2PT/XAUC2QFUQN3rg9QQ3vE5+NJGH7HI2n9cT5LrnTgGdm/xgMwRPhnLoIlvB1qhX6sm+VI9aUdCjcRbq5aiWurqiD0rGqMDDqHwDYxKd5aTUB3ETTc7ByNImqm0PoM/azU3bLgO2r4/0epR+AoCGuhoXw/qZRolYqN9Qz24AZI5aKfZqdNJi8d5O1PpnZEhMqXWHXJsKAitxiD10VQecsz2ggnrDzEk08Xio11Q0tgmchdMjBDAviIzKoYEYqZ6PMobZuKKOmw3ttD6nAaChi9nzlFK/q6iHwYNRB0kFQgNwG75ywzXGvX5GwJMSuk9SbyQHWYHe0GeqhX4yBpyz/uOmdT15nTyadqnNUeKGzjQ5d6qgPqQ81BnuYf4af3k9r8LgBbJfXt/xUD8c1MexnpkcE8AzAB8zNrmglPxxoI02xrdWKfubRpOTcUkT04b5z5QxU9CSiJJmTDzgUvTzSgpT6hxp9ayheMoIFaNn1mgZZm3gYH+Xg/2dAQAdHOywt7dgsWiZzxvaJhCjG9cJ6+NFvLE11lc3eIfwNVSnUGwQDHuV1TF6TQ2PdfzYxQ0WhSGcazo1DiN+867TGXva4lNDYF0IqzElV3CXlYpacqc3GawOMoxLn1GjRym4mKhjeWBGzQnpVsh6RVmtYblGujUlJSR1SOqRlLT+YyBIr0ooHlknSugpLiIuEF3U/Ed7mmGfMjGwVsGPZIok9YpYn8ml2NiXgVHN1Y49aSFl9NRzKLqlgzOrivM9LgeQwGBItJkrl0QpPTmvybknVZCz7kldR993dKkj92tSvyJ1a/rV0q4bTJeJOO9177+sJAN9TnQpWesWHQsGflLOut9UX+hTpiRjYasgqOahoXNeyVo/ORXKOpMtDK/02o9d42io87LlAdkeRCmpwtv3vRHGmCXfewtrstwe099wCn4U+AR8a/qd9T/v7P0E/JSSre6cGqw6SMnYw3KGmepkjkIT1SMYm8hi3rK72zCf3UXbXKbxV2lDR3Q9PsjA3oqH6BwX8PQuKj17SLhYDPQEAp7oAk2MzBa7tDt7zHcPWOztc+6Gp7JY3M799x1yeOk+rl66xM7eLm0jRN+ymGVcvpsP/e6aux9YcvXwiMPDq1A6umXm1qXnps8K7O0KuffkVaCUSNcFTk4ifSfmwVPAniSrNTYI/rk9T02FKyXzFK1ASjB9I4IcZPIzC3lPgXC/m+iyo73b8VSEywhno7BL4jguaXeO2Cn349wxjmcg5TbIPZlM01qoeVSGPB+VLCq2hbs+nOiWHf26Jye1OiqdeNQQTLOEVt02l2qUVE+XpUsODIOPVJ7Q4KduwgnaEUePjhu9QMMmhxUEVY+PH8CQ9+PePhX0hImnx1Vv0AQkTffmwdz96n0YrWIjEDL7vZj5Woq5+McJ3RUDUcXhKvObswQlo9i8drkxBXlQKpxZrctG6NsQ/mYnVhDjq9XfmRU/1Gc1dd2Pi9mwIWtVN82TMNVixpClqtUwACBdSycLtrjJwmoLzrCCckpxZQNIjGv26HkCUxZqTo14DYNQzUOplCv4cbb4iNa1iDcmQMAVS6DV+1dX6jRUiTJZt+t4E4cLlaTTDa9DQGNVgDVGTb09PUinr/RQOkfpdRIXc+OLEWCMOWrm3XIMgNfZ/b3Uco2faw5PbRuQiWV36E1Vma0TTO1PA4W7DICk9mvvdT+gEiybSkY61SxKCFDM8o7OtUTrFgQNWdPrmAfXYeE0kL0gScGHt89G5rex0K4C5PoMUr012s617gfGjFxzIGB6pcklzWulFqWUISdHn4Te9jZMuqeihgCmcUPUCoCuK0NjjH+ewt8b7XC6ZAL4U7zWxV/nxIe8+aaMatnks1MoxpuXdPrdWHf1kWzsGPubVKVv4DC2slJDC81CztiPQfu4KhJuIE3x0ROMTlrpYHW7g2Y2o2kbYhNpQtA+acByBDNmzS4amqPhnhX8jIprTbKuoKnOOmKFdgFVWOYtO/MZO4uWg7O7HJzZ48zBHmcOdjlrYGhnt2Uxb8cNn2vYm82fQfxAU9+YxydWgxtQsy2kWjgfom1Pt9PvyTtkBj197welu44jx2b/HEH4Zg9y1OVpXA8x4qCak6PzQjEa5qS5KVnd32okyZAyLgk+FVxfcPOMa6IBiqG36Iam6xWyXiPrJdItkb4zUKWJ/5J7vBdC8fjs8NkRciC6RHE9dd84cZ4wAfQBRlbOAfwUck4GRpJ5EYysIhcL3bV6G93oekHdjAyXZTTk+YLPBXEJ5wKeDilhrH9XwU9Pzub1yT257+hXdnRrurRmndakfklar+hXS/rlEsnFqIPrnliBIpb8nxN9TvQlDbmiuYx5o6nP9L2RKawSuc+UJEgWSl/nObX4Sda+I0Dpi9Jtl2L022rFczMDPyh7nD6XkSL0PX3fsV73NvkrjNF8vkCx/QKlONpWCSf8zBHaQGzV8+OdetKg2CbLokYFb4C19PRZdB5f6+bkqbPcb+uYLmukSy7gvKdtGuY7DXsHH2Jnfg9t39GuO2YXO9oHesCTvRJ7lFsCfjdwyUWKaxS5R8FHhyMSfUeJgabXXJ92d5/F3gGLvTPsntnnubd/GoeXrnLl4n1cuXgfly9ewHGevZ1IYI9ZU/g/7+65dGHNgw8uuXLpkMsPXkJyT7cWkgQOfqPl4IXQzwKr0II0rNd7HB7tE4JtGJ8vsc49XU4638ZCaBN7N2ZuvJo48IF1MBKRc57yFMj7QsmZfqV7HPm4Zn2L6tE7Hy7c7jI3esjS4967pH3aVfYOwIeC4y4oC1w6Tyc9s5lu/xGb24jNfbo5bCPckwvHFxLrZU+/6kl9spxjnR8h0Iu2keRCIZOzpiN5yaTCmIst6VFNf09o8OMt7l/fnwY4btj0dAqKKvDxwaubcwh9O+UB2gA8bkgAnVr0qjfkmv1sJuCnrhyjomnAZogRqt/VELH6mX6v6kaZvK+a/njVwetTLXfmVj/t+ZkulAOOcKdBzvSVIYTBjT9gnN034/qvldNK1gTsbGiE02vaebVOGetnuP+kLM6AgT6Tha5NHlKKWLJ8BYrjRqqVcGCgAlc1c7BSw5hEJ8UNn1EmwGcS9mZa1hTDjZitIsCChrwZ+CmnPD+SGPcT8nUhdNQo/0rSMeok2pcGljYZy4SgG7oOwGf8XQVMQ/5G9fZMrM2C1U1VWidKUPAK9jLGWFdD1kVZ4NSKCF3S3zc49fgES8HxY/8LtvdOTnYdm8PqBrgD8NlABm6j1zhTtsWsQjJBdzWbbtC4h+uMaEOf2YwH9b6nwt2qxyf1FvZmxxCqVzVGq/yhN1s3H7x1Mt6+3nsqU7a3+qRlvHBt2keEfU6PzusBn4f+8XXOFkHMcDP4H914lxHjaavU0JrTVV+GsTrOpZjX3dUE48leGO2s1fyfpqFpmmHT0wpyxJjyBuugeX2SgWDM8iyiYDWX0UNU+/ro5xjn8xgDs1ZzfPb3Fhzs7ar352B3w/MzW0Tms8bAT51Tayi0hmiE4InRKXXuJLfACshAUMNkrhnm+Glrj/OkPKJe8JDNax4fqAT32jcndSKnZurJFDzV8WsTysQAWG1gxannR+mHMzl1pK6zfBYFpDrIinp8suD7gusV/KhiWwepnqubi66Q3o7cq1cpqVdJclavQAlEcfjiCeKRoEQM4kcAVBo3ADUALzXh3spGUa+PhbwVOyRbyFuuIZW1QjSCI9ucXL3M6vVB2TNzVgOq79U45fIkLHQKfhI5GQBad6RlR79W8LPu13T9ir5b0a2X9MsV3XJFSaJ0wSHgg+65VCi2oaflwUgmG+ApZeL5SYXUJfqukJY9eZUpnagHqC/kTsdYJXKqHUEBktVLyepVETUAAiMRBRhozKPnp9NNR1VP0z2mPBGRgETd2BOUOVDD3gJh5gmN03U3Z237ol7guhlv9fyQoe+VrKdbCd3a6NAtxSCgebmlaIRPbCLz+Z3sLj/C7oUls8OecKXj3jr5h8hTY8M8tqSPeDijjH7FKYmGD6J8GgQlSPCZ7JLlL+4x29ljsXczO0+/lXV3wtGVixxdeYCrl+7n6qUHmM8gn9uhcR2XLgmXrvQ8eHnNhYsnXLxwzMX7ryK5Bxdpmjm/M0t82v2wuMETfKSUOV33HE5OdnEecomkcok+F3L5MKHJtE2infUsbup5yr2JcnOg7ESEgNwQNA94JQp+u0JeF/rG00kh3FTwOXH2rl7Dh+nxl5e0VyA8reBu8ZAipb9IWR/gim75UcmGQvS2TYgg92e6w8R6tTbPj3pIB8+PK/hcmTBtf6vqtbd5fPD8lM1182PJExr8hOCI0SasKcAJfgRCzuEnnp/gvP3tJx4iPwE/m6FwgxfIAMEUBIEb9fABGJgM2pabLKkyWEcHACST08H2I2BivddwJYAxB4QJ+BkV20L1/IhO0GIMKqVMFs9JAq8tTNXTMCT51xCuCQisiqo97Ib8HmyPTNWl059VD9X4nvEzq3+pCprOdqPXRszbU0PfqgdDFPWIUYnrV6NH6FrPT528GS371aJXNTpGxaBmbY9VZPVa/5x4firwkd6Z90cgoeZHrCEYLyoW/qdKheaC1Xt5qoJUvW8YGHBjDs0AgMZwpJrQXJ9CPy8T4DNJ7GWq0FUPl4a4OQtZGTghijESJVMMvKiRIUKYAMma9+uDGwGLY5jcqjeo6hZD3zjdd2Rkpsr1waZsFFg/mIKoAey54R7FcniGULce+o1DvUADADKvT9XNpkNjAOW1iFaWev9NJXcs6fUV2kcPfh4FzHnEInVc1bnvYe5sT3st8Knfucnpzg0o1dWcnxjUwzOEvun7xjYQjU0zoF1Jzvqs8W4UXSSrVXsa8lZKJg15P2XwaE7nF+chGrPbYjFjd3ehnp4zu5ypx8EuBwd77Ow2tLNA20YNe6se9CHszVEq8LGwt2qQG4G7WFK3kvCMIPkT0YrTdqrWezeMjZq8zzAP1pFn0QkPczU3vDHPtTPvggGfPie6vqPrlgo4LAzO+ONxJUNK+H6GWycL7bDJtzKxlAx5DWmNpDXkFZJ6KBZSZwMzRE1mbyrwxCOuI7rqZRlDJUGVZUQIPsCGf1IopaOUXj1XJVNy9fpU4+JYhzVv19ua7Ip5NgtKxOCMkMEpACrSMzVM1SPlRLFwt9z3pFVvXp/VAHzW3ZJurcd6tWZ1sqYkwUdP9GEAQMWJgh8ppEpqYCtBtjvmUsh9ol8n0rqQlom8zORVoXSV0EDU+OcdyiijLGZqcFWdo4Y3gupLVrnDOlMM/GQDQCklHQ8umDEsEH1E1dMGJ0FfDfzEmce3ntB6ICN9IienhkMSdX8npdXXJ0yp0HeFbl1YL7XtNPpFAUpoHDmpJT2EQDu7wM7FJXsfXjLrO36777iQOtYp0bQtF2Zws0Se5Ry5U3AmruieTKHmtqoHK5RE8JGmndPOdxQA3bTPs56xS7rvLk4OH+ToykUOL9/P4aX72d+LpPUBTpZcWiWOToQrh4mLl1bcf/8x999zSMprQmyZzXdYLHpuOs7cfDO0TcC5p5PSDierE61viSTZJUkks6Bt38Ws7VksWvp5x5k/0ND5QJZGc5a6oGy2a6F01vZrwSVH8okuJMLNAX/kCVcElxMxLWlLhvcnXNMgZ2bk9SXK+ln4HGgbT9tmmmZpxEPCqhPuvSdr/tpaGQBzrvnaqq9n3JBKIGhYcDVaFXHm6cfsNk8y8DObRYTTIW9+w+Pja26P7Qxbc36GELhJvk/N7znt+dH3WLgbYygYDDP+mIfhTiU6o4sbdVDqBIBztouzWkKrqjsYQqk6nFlMYNCoxCZZnbyVbW4Me5uQHpgZfNzrh8kif8qSt3GMys01XqG6CNZjqupPPTMTUYOYm9SJ2IXlVGFkrAAYLcuT+00ziYd7299Tz49Ybdd9ICog1b0o9FsvgcHSWQQGsCDWx3Tyzr0qS2AAtYx5Ix5dlz0MoWehFslX6oGhoxhVNkZDrT92Ra2FAY1Nb7wnBk8TA20TdHPTCE3QzU590I3Ciq9KXkU4DDHo2HMMk4XTfKGKpc00Z0w5uoAXZIhT0maRgYXLW1/1bgSDDkcWGfSTwSI8YGQZMErNpRHzrORcB4kC15ygtyMli+U1T1Gobey1P9TcpzrdJbGj6OarUiAwkNLr9sSi8fa+GBV4qefrvVLRe3cddOv6KnQr6NfQdwZ8OrGcHxnIDgayjDoD1Pwe2JgG6gc6VuX633/KynU8Fe4hDju3TA7nIDSBpo3MZi3z+YzOCUnAlULJwUJMVfFWICQ4AzhDGHAq9FnpdYf5oq4L0fYQagKLecvBwR5nz+xy7szewOp2cLDL7s6C+RDmFiyXx8KoLeKgblLsnSNbmLV3bjIWbG4uE3AmYov4tXPoI5U6P9f3D3WpkoXUq5s1iCo2zvXoxpu2kSB1apXB8GE8JxtNCDBw8gztl0fWLenppaMra9Z5TdefKOsYmmxeLTROilrvi2gYXIiosSqPk45kyJ1av/Na84eK0VRmBUkVIxWXkZQJ0jNsbuv8WNemiEspSKsbzpagXJl16wKHjMBHsoVvGYS39UiCVw+FDyNldrDQFG97Bw7sLLa+WN5P1RnqKj9ArmQbl3ZK4lDWSmVdUk/JHbn0FOnI0pMlkV0meaUrDgQNjxalFS7ovjfFAEGWPPHKjl4usTqWGhaBgJhnJWdKnxEZgbsuDtVCVV3u11p0qlFaRDTfLXqa4GlCIMWgxAUx0ja6x1QIAQ2pNT2oFHDZ+q0zY4fTdjCPk+bLZZtb1V8uYiQHFZiJ9kuofSSTk6frHX3v6XvLq+ojyUVyjGpIyQVxxdachuRakp/hbp4jN8zgckCCIEEZg8Vn86jp/julmFFGHEU8xd9E8BknGck9JVlYY7divTrh5OSE46NDbnjGIWfOPYOjw6tq7HHQpZ7VcsnVo2MuXzlib2/Oh97bEhvHuZvg5PAjPLh4Km2roLQaW7TrBa2T4oZ8md4LSQqFpEbVoCDUN0JEqAnOTZNYLBLzeWL3fYn5fYnLSbixeO4uCkQaXzi42FPOdKR2RW4exLXPYt5eYt5eYtbez2y2ZNYuwS/pcwcum1EU1ctyHV2CSILSgU+40OFcp+e2njjzNHNPO9cx1R0/Orq3JzT4iY1a5mD0/AyenMGLM4Ih772BH411DtNQN+c23wfz8Dg/YXabHrAZFjImoFdAspHiAgaAREGLd9RljjJJrKeCi4mibdcbrrVxjMCnSHWXjwu9mCWm/nAaPDfkTEwO/CmgcxoQMQU4Wt4KTEbAUm8wBYeod2CK7gZEIpPFeVJptY5rXbjx3m5wT9mTVKNbna/NSCiYwr8B0Gq5YfDLVSWkjKGDMIKfqoy7+hw2JyiWUM+HF9XNK1jQffFkbLtp+w370gAGfLx5BaNX8NPEQBuDsURprkAT9dUHN8Sq694paDuXMYZe8yCM5aXmQNQFLSiLmlbQGOKm3jILsnMVfFrR7XzbMmvDEyZZAfyoMEz6zMS9MQCf4nB54nUp6mnpeqHrHV0SUtI6HClatXKHcBoqdhSS6P4XfdF4YBGIKKnCsFd4UeYbb5O+MwCWJqCr64Wug/Uauk70dS0KhtZCv66hb2KEBzJ4GqGqLrUD1Peb1nJhBNebUODaz9ypMfSoRR77j8cheZ3fu9PfVbS7+fxj08vkuN51Nl+nwXLFlE3ndDy2bWQ+n5G6Dk+hE4GSKalXK6F3Y/8wj0HNMyilkI1pKuds9Lq6fjS2qWoza2jmLTs7cwM8e5w/q3v4nDmzx/7uLrt7c+bzliZGZW0z9rYQnIVTG/Axw1mwkJrh6Sw0WfdJmXoQ5FSFPHJofNonMzVUDc0zESmF3NUYU4f3PZoyrrkXIQQtuwE4P/FkXf/+1v9d9VJrjH4hkaWnLwp+unzCul+aV0RZQ1zJmrORdW8RlzMuGA31KfAjktVtXhJSjDnONsnSvA90jS2CpIL4NOQjVs93sdCskhLRCBJk3lBmPSWGgcmyhoVrqFuPlDQYEus8VHPVsBAz3TNISTuGzHjvNbqi1p0BL0fdHMw88sL4mnplsOv0tXQd0neUtCbnjlIU+BQSmUx2mewz2Rdj8BSceFzRUO5s5S5SPYzTcVYhVwV1kxylajwtSUGQgFh+ztAT6uIrMukLY5+rJB9CXcc8TYy0UQFGCJEmBpomKLV0CJTitVktp2cI0cs6tUoSezNuoDsAHlHdyVspcx1nSvejT14NYNnheke3dnTrNV3X0a1vp7vlkH6ZaC5avyqia7ZvwbcQ5sjZM+BvhdkHYJnBZ4pPuiktRfNfy6lDHEXOgju09s8UY/NL3Zr1csnJ0RGHV66wv3+ZFzz3HFcuHzCbt7jg6FPPyeqEw6M5ly8rw2RsA+1C+KxnOs4cBHZ3P8xifjMpFZrGCFZs/Nb+VXNnuoT2G1coXicKLxDFWVSGELyjbRM7s8TO+xPHH+n53aPEuggfJrCWgLjCTiicv5jZeXpPmq3Is3vx/S7z2QdYtMe0s45Fu2Q+W/Hb5YQsa/BJt5AQVPdwWlFKPNMjvte9JehwvhvY/pq5p91xzObqsVu3TyLw08RwLfgZcn8qM5sfyAtC9e4MIAcDOmEyufuNhav+PRjQvHl+Rrv2hgxzADUMYwMSYdEEZj3SASIOXHFKOICo1Y1rM32cjF6JOnCLWTlqyJtUK8PUoiWlxjeBXW9KduD8aB0cnTD2zP6Ud6d+TwVHI/CZ0mHXd9eT0/rOQ52zAcquAZ/1S8C8cYorqyW1qEetqAGuukmrq+A0uKueHyleX72e6IP6beoeN2DOh8rMZ5apYIurr8QDoHG/1VjJOOkM3qWs5XHFrmlPHp0nBgU+syYwa4PtFB9oor56U/BEqsrhzNOXIOmGgjhld0miykVyWSeWgaoOotK/mWWQqjFSwecU+IKBtQp+KtDM1k/8JpW5c5ZBNSi0o4HQZQM1YQRDaRpaljSW1+WR6EBAFVvbvyM7TzKwmUToxcDP6AQjTJZ2Z8AnF8s7Km5gb+t76Hrz9nQKdtbV83Pa+9MZ25vF+g9MSJM+PfVwuI2/xjnj9Ov1RCZe1E2l85EoxY6B733joo/gl25yT5sLrx2wta3H77SNdfWshBlgVoF86meTw7jG9K9ho+PKxKb92QUUaDSRxaIl93OcFFzJSB/JIeBFBpaSTCGJjoucDfzbJozV8zMw6zlHiIHZvGG2mLPYWeg+PmcOOH92n/Pn97nh/AF7ezvs7MxZLHaYz1tiG2iCeX6GsDbbJNFX4gNPzMYYOoDDqlDqxFEp94dNX2Us1yMVN+kr0yYyCLR5LYfu0dJXdjmH85rMjVOfqYjoHig+TLw+BoCuvdPkfqPPrkgmSaKXnl56urJmlZas+xMKHlcyXjKuJAM8LS4k6Bv1+vgAYuQCo8ucSpstklShNcPNSGevHukgmVBsb65QyS4yTc62P05Hya2FyzVKo90GfFDGseA9LngF4CUhFvY20HYY+Bl2sa6en+C17N7yYqxP1rwiKWKKOmqwwg3gQdA+ISkp8Ols89JuTUlrSu4MiK3VU1USQqK4PHh/oDBQl5eJV0nKUPYxFsW+NWAkvtiecwWiLnIiSrtdSkIqm6aDkJwy2YzNb8bWTanEU4CtbZ4+aphoySP4iU0gRt1rKmdH9lBS0XmkmD5VQw4NpFnM9xAlnqUQrA/o3lSqDykAEqaELMazAZ2w7pwCn1VH3wVSiaRnR/LVwvnccLE37cm1iJ/B3gxZ3Ia0Z5CnfBpy+FsKtF1PdtUA48kCfRFcrkxlGqJ9xRXOU7Q/FwM/qWO9WrE6PuTwylUu71xmcfNZ9p9yE+2HPwjO0/c9y+UJR8czLl1tCY2GHrYzx913Ntx484z93RXzWaTzmdh4DQH1Ng9MvOADq1/UtRhXNOeuA7cYCcMkeOYxsfPBnpOP9rz3MHF4mCgiOj/4iPeFVRDet87cfmfH4vlryuwKvv+/zNsV8/mSedvhZ8c8MFtzfM+KImtwWXOAxFNICk4lg0+I9AgJzwrHGkeHbyK+9cQZtHuB2W2KAaKEjzlHTuUJDX5i42ln+sDTXJ1h/56JF2fI1RmsWAZ+pl4fNzK/abjSSHc9KoKOayxf01ArGWPaK9ChxgTXsCQRxCvw8Tid6ILt5YNDJy5nAEjMwyBjUnuZgJ8KeFB3qpgSPg17G0IpbK64RrFlE2iMAGjyjNPnZ1IPbnICU1Dihk/r62bY2/CTUzeHMRSulnUEnEMZ6kD2E9Dl0MndMcn1UVCoTgkxEMUIbs26N4KfCp70/sEYNabgR/dsuE7Ym5hSXRXvxly5w0Pr80+jN8xTr+BXtM9Fp56fNngFP5b4HRsNyYmh0cX5FGIVS1YREoJOGsEnjbu2U8VosivddPY6GWbBKFjtQZAhZ6Hm+Cii07IPz5E12iPbLab9itq0E32u9lv1CiiALA5cVk+PAh8U/CStw2LYXbwbUKJu+Cc1atBC3uQa8FNgSK2r4MdnZ69m/UrK4NYPgAfWnZjnRwYQpOBHAVC2sLds+T71hqq+b6ILqRPDxmcPrdSeHiKfGjLA11HcqWMa9zuoZyMdNU40XKZtmM1mpEWykJGW1CVCDJo079ywIWQyQ0jOhZTr7vOZPmVSZeoCnHeqlM1m7Czm7O/tsn+wy9mzB5w9u8e58wecP3+G3d0F81lDM5szmzW0UcPeQlQaa7WwMtkTTtedMFmDqtVfzGtYSReKzUF1bD7W1p8aKzx+UqebUoomt4MaapzrUbeup5JaOA9ie+4oYdBDl2q4jautZ+xMBn7U67NknZecdCtEwEcFPz5lfDDqZ99AaBREOAU/6nlJCoSkkgPUvByd1+uWjx4/gDT1fAvBF7yFPw0kAiEQU4OUmYbR9S3kltBGfBvwrYcm4Cw0WhX/kUSIatjxTsEO9lqZmIxpbWgUqyWdLsRIOrJ+VzAQVBdwAz99T+l6JHWUfq1HXlPySvf/KRryligkn0lBKY2V5dQP61idDw1tDcCngh9nZRq1F1vYzHihz52VTEIc0Fg4X8HVxMyNa272k+gdTdBFJEVHjGrISzFSYibESIyWy2cbGPfeFtgKbDEWW8m2gal6g10c+3tlq62RG9UAVzfA1b6SB4NnKcraKQhd5+i7NX2/plufpe9uJu3eRbkFbviw8D6vURHFN4ibwe7NyGwH6ZbAHhJ2Kf5EdTvnyM6p50cqwcqos5XDwqVLwtmJ56eY56dbLTk5Pubw6iHzxSUWZ85w00HD++czfICUe5arJYdHLU0bhqiX2cJz910Lzp7fZWf3EvPZFYR9m5vcwKxaddMa7t0nEJ+RYNbG3824dcEdBPyzdKNdtwjMPtSzujvx/sPE1asGfhBCiPiYCVH37bmvy7i+43a/IrcR2sx8tmIxWxLaFe9rjjm8d013V6JIAp90r2HRME2HhoGITxr2Jj2EHuc6HGsNx5sFmjk0Zzyzp+sYiw88uvnyCQ1+gvc0je0APVlshryfCnK8H/bo8c6PAMgOdw0AUmXbT+isN0DBpAzqsdbhPkwwmIeHytVWXccybsQkGkMtlUwB0Wm7ONtd2+Kth1A1GeYkVSAt30A0jjSLQyz5q8a6T3N/BouSWWwGz1JVVv2IOSaGqsFrfxr4jNbbaRjgqQYaNGDGZ5kqO6d0ockPGQGaU+uuARVqm53yANXXUnQyl6J1S9Fclymecs422qrMf7ZYUyaWfNE+EC3sbaTx1msUNZLgxQ31KNkmFmu+MR9ks2407M0iNQbgY54kGRfx4HTjtug9wQWCi3gX8DR4C00ZKde9gp6iDaZFNe8jYpv4GcW6d0qdbGBCZGKkrIlL6GsN+/DeCA1k7Dxiz5gTA3FBxbJVH/De1Din46GCH60npbCs7ZKzeX4M+OQsQ5jAmK82PlOW0WOmOT/6WTJgNvSxupbXhUiEXNwQ/lZJfPoe0noEQn3N/ZkAn9SLkR0oq11leavhKtfr1tOwP4bv69lc890TD/zUDi6nPpu+vw74gbHD2Ksz4KBzjloTxCy1Ot9H5vOWnOYDkpaiNLs59ZrfwThXiLP5EBj3/jE+PVfDn/V1Np+xu5izt6tEBmfO7NnrPmcO9jg4s8vOYk4bI8FY55oYaaInBDZzfuraEzR3Jvui4WNof6jsVwNVciXjsOqqIOL3Ihv5kNeRkgt9BT9ZQ6TqPFcNRj54C3HyD+/xYTTyiE1wRVQR7yXRl46+rFmXFau04iStEXHEAqEIse6d4hLOdeAjjgh49W5IDblSr0vxTslQ0MXL2doe/Qh8PJrMr0pVJjghp54cPDlEkoU6ljJD8hxJLZQZ0jf4FPE54ksgNMH6kQHWot6ToaFsQdW5Unn8nYXAuaAU4tcbDlItlVUblclRBNcbecOwd1GvoW65U++PUWAX0bC3hIYuJW9bFmDMgWWzlcbMZNMyLDzX1/+C0xDn6HRPljr/G3BAPM7p397pNgV421sPcMaYCurx0S6o+pVIBdEaHqrbjXhjQqyHjt+ChhUXV3BOtDVFwWsy5jqcGkGrgbvmqRVGfsxKga+eIiWcqOFyxfLEMkLbe90HqU82z7cUidBkHsSTiqNP2tY+Oq4e7XLvPQkpcOXqFbp+ny7dyzpluuFI9H2m7xXc96no590V+hQJ0Y8haWZsLDnRd52Fvx2zvHqV1n8Gzey38FGN5n0yAHSoekAuwnzhue/+XZ55dY/9/WP29jI+NNaGDh+WxHiZEArO+kguus7qomwbDc4ScqXgzwS4W/Mf/S0QZ4UuCeskrDOsk7IkRmd7aKFzd3KZZeppD9e0wSFNz6xZMmuWfLhdcXV5QndXp9sQSAZfCFHL4gwtissICejBKxWucwnvMj4WfBQ9zoPrrY/lJxH4GZR0mYKZ6Vrq7JwJyIER6DBJTK1W7hrXbAl9lTaxJo7WRWlzqa+eArNVTjw9Mlno1PWqv8quxmPrAJaoLmrvdV+CavkTWw2rgWkAUkWtzqlaEsSRi7OEuvH+w94XNR9ksJRt6By2qMkIZNjELhsOncnvNlfCU6Fp46daX5NKm16zTmD1F5XkwFndju+nQHQSU+9tZx07T8yWVYqM5UZzT4owgGCdcIOBTaszSz6ulvq20SHStgGfoxmlZaAuHTqBq8BhXMvK5EGdxZBXKFssPFGKo3rhK4Nczta2qdD3Be+zxj+bwl5y0rAEN4Ifvbgm95LSkKCaUqbPhWQ7dydbuOu+KBsUuhX4KhZTQDfZW6jWbj1Xaps6GcFPJSgIBhhRoOFsB3MpQkm1XjaVvJLr3jljSFmxEMEyHPpZyXq/bNca+R7Gvs3kMBbyjURPlwaG3VH3gOF+OevePrmvOV+W51NkpLce2n/SF6rIxssjkkEhmfz9eEmdv7z3GD+LWg5FqPt0CVpX3kJPaoW4DWWuht0C5oEe+k/BckvUOhzMItxEjfvXQ0PKmlbD3ZxTxamNUS3K3hmwcOQ+4aVYPSrBBU6/V8Uu44KfhFJqfkAIgf39XfYO9gYq6729XXZ2ZsxmDU0IQ3fyTkOpq/V6yPUJptjV9cR7gte8Ge+L7amjD66KdM3zmbgqP4mSc6HrOsA83OJozACDKCVtKZp4PniE6pid9Eytx5FUQimh1wo0krKVKfjpBprlHoufNaYUZ7Gwg5GqKPh14ikofXJ1lWsIVA0no2rwY1ls7h32dSpqUS6I7uEVHMVngnfqTXKiQBsNCy6lx0tDKBFfGkoJNnfL2KXr3eo8ZkYZvMMFD0Fzflyou75VUTSuxjP1JEi2OauGZEs9zeOLGm7d4ILXObiIUVbnRJ+zUlcXS8j3YsY/q16b0HVM6Exec7dUZ5IhH61kIfhM8IUcLVQzKbmOZoNpsnwMDd5HfGiIoVEdhjIYtgaxtIQiMlAR6/pWSHnce0hszLisBosgQsky5OrUkLUxX0nHTqWUd5bvXY2ZmjpgRuUhzCvjshqNpSboUkPRZTRUWm/yHmJfiPf13H3ScXS85OrRCh96muOOq0e/zt333ICPc06Or3J0dImjkxMOj45Zrpb0KZF6Pbq+p4iwPDmhnc9ZntzH8t5n0z59l729Pfb39zlz5gwnx8csdvfZ2dmlaVszPmions43De1sRts2OOfJObNarcE5Ll9puXzpiLs/fMQdn3HMjTfdw/HxoYYvArgVPhwzn3fMm0TrE8HZ3JwwYihHeZaDmzx5Yfl/JeKWEf8U2MmZm94PpfHERYM4C1NsZ4TQEmcNO/ueZz1X6HY6yjE46XGyxrEGegOxpheL6kBVFxKx/cCyeutzGWA0zgW8j4CGRHYdhA8LHOnz9ReuDbd8OHlCg59BrZ4o5qO+U9XM6q1giFkOpjgPi5SbAqBrPQt+UNCH26qI3meYCAcDZ50kK9W0LQo5G/XqZAGxa4kEs6hoI294WgyU1PthQCploc+qDKpr1Y2hcI5hJNdFSSba2gaQcROQsHG4cdPTiSLphgucOne4Xq2nse4VNJy61tBO9dqOuvrVRHu9rn02BT0TBcNVi49du1hz6DWL5ZxUc6p52E4pLxXUVABUp/DWPIuzNhJLrI01WO1Ghia9tkxuPdjXBiAxVo4YYK2JmTX3R8S8EQZ8glc61JAdIVuolrG9MYBBBUAiZeBflpyh2MKYNcynL0o3C2IJydpnB0rmWlzvLERwfCYGYDFZyKumbt6iCoBCHKA7zikRgQ4L66t1QhsuZf10KL6M/dgAj9R8t9rHs7OQR71ONu/LUPN+2s9GGlnjgtC9hLzerxQZAdDknFxZ53qnbH/9uO+PEh0w8UhdC1Tkmjen5dQXMvb536u4h3j/SGWgNrf3Q85X9SCLmHfRgNDAgsEYWmvW1hp2W40Kw3w5FG7cmqCJSmjQNEqP2pglOAYPbcQzp4kN87ZhPp/RBE8blRkxOkff9eO+H9kQrMV7uOLxWUNs9N7Vpa0epb2DXc6cUTa3M2f32d/fZXdnznzWEpswGta80fGGQGwamuiUgcjXW40RBxpG7TXsyow86hiZkh3UepFx8njE7bx58vW7zuaMVCXnxHq9AiCEOCgfNU40N57SBKQEikSEkc5+EwDp2lKyzi8pdaTc6SaWXU+X1vR5rWFvpaMrFfwwABonWXN+GNduzeXxmN9u8PoYLSZuaiawcV4DKzRMXOvYZRk2wKwe6eRVH2iSepZ0Q0z1MOXSEKQhZPX+hBzVgzN0AJt7ai04BRpO7OLRqfUn1LC3WltWXx6cVI+fZZ2Vuk46EMF5zVEdFPpSI0TUq1Gk0JdEl5PWZ84ko5coWDieNZTINFS/5jpvMuQG031KFnII5FDIoRBdIBSnnnU7j+IIocGHSIgNPkbwZgzJVQ2yhjDjYd1UGJR8REGP0V3njAIyW89xECDZPkq5FNvfZSQtkLpgDnuDaQpDqPnbg76H7eWX1cuRipLolApcJwZr88AOQREOGincfzVxcbnm8Ooxl66cgFviY0NoZvh4BecCy9Wa5XLFyXrFycmSdbdW5T1nSlKjYy7CyeKEZj5ndvwAs0s38oHn7PGs/QPOnD3L0dVDVqsVs/kOO7s7zGYtPgSdf/ezzoltw3ze6nfekVJmuVzR9T07O4EHLx5y4YFD/IUjnnLzgxwfHZnxuxoDMm27ZtYm2pCVFChbmLA4JDty9JRWYB0gR6RESDrB+afCbSEyv9jy4KUFtI4zZ3UPJpzm4D/tqZ7cF7plj/RZ86Dp8RaKX9xI7qJLwpivnnMFvUrNXiyNAe/xLlr4faQkT9cBx5q3BLC+8uisR09o8FOV4eH95BXG+FP16KCeHjd6dja8QX6iVDtjeRt+b5PsxsJiS7iri/2o+g5en4HRRwz4WOItVWly45VEdFMsL2SvrmRvE62GG5hiVK1Z1XKSZMIkolbtoQu4UXkZPBqDvdOOCaipFbgBjBgBxxQYbSh7EyA0fjR6f07rywPYkmmDuY02O61MTgGWm7SRhib6gZWtghgsfKOCJzcoxsUs2BqH3zQKgLxzYxhCtQYB0RSl2SxQilKgllLj84tZL0qNVBjA08AsVOt0kptULYc1BrjO43VdL+ZhSL7QO4cjKeDJjpA0AVE9P54NcFjqRm/KoCR1R+8yAp9c8gA8XA1vqwAUNtrY1UWUyWKGLdBmnhQnuvAbCPK2CIZ6pjfAVjTGWD2WE0cAY/iXghoFf9W7omGIbvTsFJCsIS9kyKq7WhKpXW14GEZGJjfuNF9svGAMfjkz/HYASaY3p96RahhegpJ0cq6eqI1wNzdaDh8a8Dy01J/UjSc3vpsCrUco7tTrw933mmvLCFFqnsrGQLZOLNYXSika+CB1hpkAH6kKxkgwMLDduQqSNZQkBiU0qJuYxqihTDF6vI+2B4dQ0ozZvFVrdJ0rpLBerikpk/tE6RM5JXAZ3WjUU0KgFBm8v4RA8J521rB/sMf+wS77Bxrutre3YGehika0OWLQfb0jhkgTNHQlWNhW8OpFUKIcC1UNGHuoHypcwb2GUVWjy9j52HT/PUwLXw8oD0DV/vkJ2f5UNLxGwU8OjTKDDf8g9oGSAqVtFHhIsIF+bd8pxfaOyT0526acvXl98po+d3qUnp5E8rr5pIZ6a8iWc9m8dRZCM4ld1QA2pflyDiUhGEws1jVtzi9Orf1j7oxNLLko/b2D4AreCbn3+myuUERDyBqJRGkJJRIkUiSaF0cPQmDkEfM2R1pbBFU2XPX8+MA17SToxFVD5yZ2AGdXVVp+jwvmSTJSmWrIyxb+1eVEX4rO71KYUDFY1dVEOgtrtpLXfOcYNNctet1sumTIvpCc2LUyQYQefbTgMPDT6ibEMeJDVKZPavc1YwcgIdBhBqass36SomBAMrkkHa/CBvgRMQXYjrpXodS8H8TyV6Ea7Lz3uOgITinvK6DzYuyiqUBUllWXbXwMbHYM6zp1PgKiy5QusVyuOTo64erVI92iwQckRHAaFtr1Hat1xzp1rNdr+i4N46IYwBVxnKxOaE4WzHdOOD65lysXbqXb2+fM/gGHZ86wWq3wsWG+2KFpW4JtBOxuKsro1jbMZi1t2yJG3tGnjCwzVxeRS5ePuPjgMR+5cMTtzz1hNu/NiOdU90wQQ0/TJNpQiFJU90gOTbVxpKRAiOyQHJAcIEUkAMmT9xueujfj/M0ZaWBv11uEhCcXx9FVQZIYC6OGLGpWulpvpW49IGYARgZDcG2HXArZiC7E0kCc7Smlnp8Anfa1voKf9ZMJ/KCD2HCBKcwyfFcXVau6cTD4MRxO5ys3eIaqZa+6hacKN0yVQLuxbHI5bVhGjcK0VKahrCFIIjJ4JwQxT0PURTMEgtcEcrwnGKpwNohdVSLMetInDX3LeQznEauXGrrnHBPmt03QM8E813p4Tv/NpJ5PH5wKeRuAjxtqCwuhui6Ftl3jNOpx5pIfrl//WfvVWN/gT4OfOqnZcjLtG05jjes+OrO2scVz/G1t0lkFP21jFkKGBOxsynkWVeg1d3Hce0YXIDf0qcqqp8DHWU6QTjpOjZs4geSFkAu+d0P/Vgug5uaEHnxQDWkj9E0Kut+FHmJgpy8aFpFKIVksdAWfbjJfbLTJRMcZGLEmSr7ZsHVttWPYsFRrnODM0+OVxECBnhs8O1XXq3Ul5iUdvheZhAcybEDqHIZ6rH6LeWJqxdcuNOm7E64QBWGpxpRb2Nsk8qiCsGGj087e5wFXjuefmg4+HnI9sPJxuvQjlumcVqRo4rzFtxWKhb94nBclbXEMzErAGPZWW7kUpi0+AM0CNWwyek80go+mCSP4aXRfkCgB1zpdBMXR9z2N03HsnceLsGwa3TBv3dH5zuYqh5dgHnClFg4hWrhaQ4iB+Uz39DlzsM+Zs5rns7s7Z9YGZo2nCdHWkQp8zHPcRGN507wIDSFS8BNs37jgq+dnQnhQ80emYW+fZEk5sVzrRogxtJbTZ3OkCM0sUHJQOmlp0RiquuB6a0udd0olEsg9Oa8V+HQdfb+mT0p00JWOLvfqqZBs80Qw8phs4W2j9d0ZcyZGm009zPtQk1SGsF8Y+xQ6n5CU2lxyhr4ouQKCI+ERlCOjoUhPzg25rEilIZaWmBtiNg9QE/GxxTeR4BowS3dVPpxz6tkPbnABKvixUOkpADLvpzr8BSTbfDxZNxF89uM2HcGPyfxo2FuXLackl4HVszgh6x6t1H2w9e7TdVqrMFqeTRuD7R3n1fDmCtHptgjFO1KAGBzZO1IbDPxEQqN783gfNSoSNJeVcb4qziv4EV0nAfOIlMH702dNnMejeRvO8rUsPE7TQIrtk1MGrjrQvuDM6OaCemSDkVbFmtpg+bTkhCSPBtlUhsW6zsjGfG7qF937hA+ve45PVlw9XHLl0lXWqaihGSGLRjLklDS6IiuNfsl1oWLwnJcszHfmNM2c+WKHdnaBKw88gyvnDzh/5gznj0/Uc+0DsZ3RtDNccEZ6VYgx0jRK9tLOWrp1R9/3rNc96/Wa2HgevHiVi2f3+dA9R5x52hFPv3VO6iuZg5L1BNfjXY8n6W5QZngtzlNESBYSX3oFPiU3SG4I4sixofewjkITBFkLF64IpS8DLbn3ieB7fOgIrqdpdKxfRrhYoHygAk3U2zxsL+LNMCmj18zLEDLv62ZABHJSfdclwXv1IvfrJ1XYGwyTDwyeBI3znCjd9TxG62W1h1Qdz01er6d8XOeuo4dnMnCq5b8ywgxMPmYBKOb+rGEl6kEA5zPBQQrQ+0pLqNaZWl6pScB23er9ydkZc4daqAUGd3bdjGxzD4kpsNPJw5UpKJky3I15VIOCO4CiyYR+vUqrwKe+yunTHn7Bd6bBTq35eu8J/TdjWw6kB5PvhvbcADUj3bd3IyjGvHHOFlzA8oFg1uhu0wLKGFTMjW78/6oSjEmE1fQmFhIkld7aBvrA+jLx+IiBEZ+V6hnbjK3mVISAbm7qC96rFVbbocaVF903w8JIpGRdNNCwgemyUceLK+q9GScjhqEyWvEqQGdsBzSkdGQcrI029hFcJT1Sq44vaEKjPffGGIKxXuwANvNvKvgQzJqnXiXcWPZ6vps2eVHF1HJbCTUayq5VsrKCDSBLGM7NefQUDQQj5VR3+iTKI5mbHsu5Dyu1w1zzkVXAMHa0rwxhb1VBGdShcXFybpy3Q/DM2obFYsbu3oLdfSUc2N/fYXd3h8Viwc5iPnpTLI8m9Un3gyi6X0vqOzP86BpQBkpcp6QpInjRZOwmNjSNMUw1gdl8xnwxZzbXePqmtVyeIbTWnkkm84bztiGjgsDgC972zwrej2DHuXFM1VCnNBrFBlzII8PQ41zoTn3uHvbz06KApR/+zjkSfCDnSAmekjRkp5QekR4pUZUR8RYKriUuRS34OXekvFLK3r7XsLfU0+U1Xer0yEa/X4oSvfiiRCxFrcPexpcvOjcVcfaHTiCu7iJN0Xl1cAePWz5UloucNAcy9/ocknTAe8k4lP4/BiiuUJwCiCyJJD1REqEEYonE0hBSQ2wTobQUKQQpBmw8mgmjHqUSZFjn6jrkq7UQM2aB5lfYSBpy6+qwGb4pm/qD5b6kUvN9MutePftJ1Ls/hP+KG7CiMvAESpgYhbz2ycpWWj1Ctb9ks45VUOe8w7fOmN3MeNg4o1Aen0eirW/2nNmNoBSqHlJ73NjpB1yIAhwnedi8W/Myi0UOFGNOs7BB53BZE/h9TTFAJrngjGNXe70eLlXVcejL3nvaJjJrWxaLzN7xBS5cPuHK0TFXD0+4evWQy1ePWHeJnAu9lS9ZfmrKmTToeupdrhNnfb88WdLMTmiPj4htw5X738+HZrfin3YjN2XzUOMsrK7FxcjO3j6XLx6xXq7IOeu6qg9Izom+7+jWK1YnkZPjFUeHS65ePeHuD5+wf1B4ylMdy6XtM1Ycru6ZVaDgkRxQegElg8kOknhK7ynJ656EvSdJoHgNf2wcNLaPoORC6bPllWeaWGiaRGwyPna42CuZCmY7yX5Yl9W4qd64abRHsbxnAe1zHlM0PCk7yLa5uuXpAbB6EoEf9bAUe2/hP5Uu2gGiG14NZt9K/eM9gtdFyPuNBUfsd5WxpE4Jm5sS2tkyWg7Gw+Kfy4RL3Q5t1JoYKsZuqW7dCjhCyOqWNyVctwwwNpvBg1HvrUqpWh6Uitk27MYHRdR1z4nq9RkUfPOAiVflPHijk6x0rBX4eB42LwrY8PI8nOdnpLp+rCqjjHVuiwalDMZIZbapVtRRGWP4f/xdrbtB465eMsZn12fTO++0DVWJS9mTirfXRCjQi1ruetuDRtcOrwmcyVN6ZwfqErbEywp+Bs7m2rVQkoOchZCEEAohKOhRZWuAfKZc1fA+3cTNoUpFGTYcHPuYWLhb0ZVG8x2zDNTNOVmogVh09bBgDYWjxqbnhO036JT9TEZwXEGQD/aIop7JEGpYA0M51KO2aX2rTZONijrY4u0CYGFGykg3gihExuR8K4O3Zw/GnBuC6Gu1VjICmZrPU3MHNqwhHzc08RhkMmQ2ddnrF0qLLY95pE1zSQaK5qkX92MWVCbHiKhNJ9FLBX0zn7cc7O9y9vwBZ84dcO78Gc7fcI5zN57lxpvOc/6GMxycOTBPth9Ckruu19C2vqdbr5mdtKS+p+RMSgkfHS7rvCkECxkGnBAb9do0TUPbRg2hazy4TMo96/UK74rlGTVEH9Xab48zhIjZnKh5E169P34COGw60lBW9UKkviijVEoa2mFeS93Q+uFr9zTAqcax6edDe4HmvNRW2XBVVinWpmNEgHquwKFhtCX1pLSic2ZZdwGxXCZA6ZZzpx4fo+vNq460Vs9P6jv61NH1Zh1PqjAqtb6BaKM1ViCkwCfIJPpvauUycg2pIbxVCcqWt1BzF3KmpELpioZBdsVC6SwEpwghQh8Ki5CZOUg4GhF8yYTsiL3Dx0DTNjRpQdPMaPKckBq8sW86F3Eu4F2kFCFODCMSGOZd71TvwCIHho1W+zTM/UMOrEDqLGeqW9P3Heu+Y5Xs6BMnfWLZ96Rc6LNt2puybQIa8AR81ryp4Ipqe05D8nyoa6F6VHxUMCpJyL3uh1V6fV9SQroMXcH1CVc0CgG8WaBEQ/MAZ5N+cJNIDFQf0XnfDR7TpmnIrRnrnNf9Fq3v6pxcc30MWExzgIwMwWch44f9c/oitD5QgoOoFKbRgaQOyWskr8lZQUTdExIzVOzuNJzZm3PDuV1uPPcBLn/0o7zv7gvce/8l7r//Eg9evMTlS1fo+qRRNs6AmYBkKytQbGEb2GgB51X5b4/nuKD7GoGOJymZ1D+X5932bG48cx6iw/URLzNciFw9Fn73/3yE+++5l8uXL7FarclZjZtitLG6WWoipZ6uX7NeLTk5OeJDH1CP0e6e7qeU+0jOHiQo1bp4igSyC2TfUZzQe9VRx7Xdkzs/GODFC7aREpW2VqS3chg1dekYcumygSRn7Jsl28+85tImR06Ovi+2ebgjZ69hysN4cMPcW6nD+zzm6gK0fX5k0cImT2jwc81kXiccqv5bleWiKNMWcAcWCuv1u0Ht1Q0undE2mv0QdXkMtxjuPQU9ldhAqtI4xDWOinaNKdW9QWQAPrmIUvg5BldtcHnwSiAyJvExTij1vjmLeX2EvtdOGcQPMYHK9lL3JpgopxUEOUfxThf0geBgXNgr6BnCzmo91vNwm4tyNfsPSqN991ChHbXRhkbcJAGeWi7VO1JBjy3ZA8gdweeUtW0ASdPk4uG8MoTrDMUegNsIhuZNg7f44BQSfXbqocuCT+CCmrvEi8acA754NYElR+kcuZ9EpQ00yYbf7ZjGH+cs9AZ+g3eEmCebKJr1BLMgittQXLwxGLmgi1MNTfPBcl8QM/4YPXQy+majcE4GZLKBkiLVsDAdZAp6dN/BkS2nAh+1mtfrCDFDTJpsbOzew36qpZw2JGh7lzLuReA76yZmrqwgfQintLLVHJwNinYnwz4HvoYoTTyZFUMOnp1qQTVlq55zPd102ltHe+5jEwd42byJIAP7+KjJTgwhDyVSVWl5xAWqBovhdm463t3o8WUChIZxXcOVBk5DxDwulXVJnOagOE1qxHnHYt6wt7fD+fNnuOkpN3LjU27g3PmznD2/z7kbznH23D4HZ/Zg8OZr51mv1hretl6zWi45mTV0XSSlROgDPgZc73FBxnqw38cmEttI0+reIm2rYXAg5NyzXguOjKcleKGJjlIMxVdrLsYaSaipHsMxNFNBLfjJCG/6Muw1lPs8eH82vPK4ob0qfK3tMM7h1YDlh1cYgeoU/GysVdN7IKPmUPf2mpDfVIBRck9KZkSTiHjNhcEHHM4ol9fktCb1awU9q46+6xT49B1dpxTCfcqkVI2BTr06Vg6h4EVJc70YM+dQKfbc3iYYs1wr7jEvUDZafGODVLBZyOtC7hQEDROueZB8FPrgSD6zBmY4GnFqcKp0ukFo+4bZbE2bF7Slp8kzgtctB5wzIOQj0fqHMl2aUcrCsosXAtVAY6GCSemsJdd51danIuo569d0fUfX96x7yynpO5Z9YtlnVl1SJs8+kbpEXickO7x4AhEvES+251ADJXpKdHqIJ0dlPswWRliyaL/sk9ZZXxA76DOuywPTqSvBmO0KLtt7r/oTde6s84Qz8gfRjXODAaCcG50jnIZve5sT7BaWLlCMGEHHUSpiES9qxMrUUDqlTZdYkOjxpeCj6jZ1H52cO92rqCRwQUkbghqJF/PIwf6Cc2dXzO6/wP/9rQvcc+8FHrh4mYsXr/DgpctcvnxVNwVFgU4e1iwrL7qWUQ0jk3EKcNye4Lzet9hq0a17VquOwwvPYu+ZAVqh3J9Ix4mShPXJnTxw/93cf/8DXLlyhfV6qSGmxVIZyKbfZUruSP2a1WrJyckJi6Wj5BbvWyheKbyTzmVqsIwUyUhwlKBhESUkNQT2zg4N/fbiVJ8IKImIr17UBLlXVjcSjh6RmndcKLEamg3DFKesiylT8niPnGTYQqIUy9EUmwXFdFivUTG9EUJVQwrArsvsPMS6dj15woMfmSy8uks1tvKYClSK7kciDmeenkEZZkTkuhQY4KlxRsOVC25j+dTrjy7p0etTN6orG99PWd8qHegkoS+PVvno88BIF31RC4ZMKLonC9PgQRpiaLVTYIukC6atiS7qw8LJdPHUCdoPuTFj/k3dO2nw9vipIjQBSDbJjQrRgHom/9snbjxONSabStoI1OrJGjtbgYufgBgFsc6A0ACKh6OaX8eFhTLZBLbyJjOCY2/PVMMUFk2LtwW4z14TRB30ztZlUW8OXmz/CQu9zA5JDunM69MLFpk2AOIKfuprceCKkBy4BM5l3QsgV0pdWyAKSM2JESYWaLWyeQ+h5iBgSplRUFOBs2DEGSO7Wc1vGfKZDABthMRNIplk8FzVZrN7R9v4HF1cU4IYIfS6uaqYZ6ler1j/HLw4WDx1ht64/CtLzzjqGRUjh3p/63tqk+pvBuKTqqD6yUbsUaj7EdZQt6ErngY+k/uzMS88VsgzkQ1DQL3D6MMZiTvsm4dDP5P6fKxy2tNQjR0bto1T3p5aVVK9CdSEV7WIVk+cCwrG57OWvf0dzp8/y1OfehO3PO2pnD1/wMGZPc6cPcP+2V329naqXcTGMKzahvVqxXq5ZHk8o503tKuGvumJTVXMFL060/Wds0ClprHNUltms0jbtoSoz5ByD50O0uig8Y4cI9JoX3XihvwMr+qv5ZTaHB2gMkFmm3dKUkUyJ/VKpZTUG5HyQHrAUG9uMDRMQejpdqnsVqdBkJ+uXbb+iBHuDFexNWTMka2JyaPxBASyhhSWAMllRBrER92EVCrdbkdOa3Lfkddr0qojrdf03Vqt0N2aruvpukzfFVKviqyXmjck4HQuCFIIeNvscMxzdVaeMfxwki+FenpKMmONGWR0r5ZCXhVyp14MLM+KqFEBPkDvCmsHrQiNCDE5QtA9RVzQ/VkWs8hit2Oe1yzKirYsCH6Gdw3etXgXCX5moMfTmHtTcEbGE5S5LqhxIJvXJ6dM6Y2ZsOoRFhqpVvyOzkDPKq1Z9iuWfc9xn1h2iXWXSeuOtMqkZU860WTGIIFAIXghlKIkDTOHa4XQOqRxppc47RcGXIqB8twVyiob6NEwTUkFlxSoIIJLWSfQECAUfBMgGivX0NPExnxlskU36s5K21waXUB0WjMdhEmgrFiYX1bQnJJYnlAhJ8F5BUMxjsY1aQuu8cTiiOI1FC9pHy3WV6UknG8IThkmm0bBz/7BgnM7F/joey9yz70PcPe9D/DgpatcePCQiw9e4fLlQwVhTjS2whVTWyx3peqX+I1x6Zyu0z4ea79wXr0Xfc/y+ITDw6ssdu5ncfdcw9VTp+MpJbrVkquXL3LpooGf1YpkeUWVAt4ZG2JJHX23ZrVesjw5Zr3yfOQjhd09h5RA30f6zpGyJ/eBlLUfSBRcU/AxKymEG8kPUufo10bx4YFYw++VhMSTcNLhXYeTDt2IWPUqpY4vY1CLQ72yycareX10r70y5NlqVIy3VaPYZvCO4gpdX1h3sFoV1r160gHCLLPzKBDNExv8DFoYDKvxsI7oANU9Acp4PpbD4MNgDdPPamyqYPRRQzCoo3boU3qJWPy2WSiKTVqlehUqODGgkgcrhsav1njRnNWa5bEkPZcJQBOc7v8jao0bclPqMwxAqjK/KRLWU4KFUVTWutECCHXxVEXYeWcLUQU0FW9ssuPV36gH6rQXaDyowIgR5DiYhL250zX5sE28sexbm9b9G+olxyYvk2P0IpwOTRw2M60AyBCPEqfVkJbRpr9oGqJXZaRPjm4AFVVzR/dscJowKFVJMvBTvLMwAjGLB5XldQh9k+pxYNovtRJihJic0v5Gfe4aNlcPH7xtmuYnTFlC9NULVMMhZWA4U6+h5YvlSdhbnoBz0Vex+HGp7w1EjcQJFiTqxOiAIbbafilD7G2dDI5gYX/WpIOnRZ99MlqLArJ6XmWKq21amY3cBNxcA65rHzSlbujDBtBio+WMlsM85DHV354CPo+LTIbLdEw9fJjU7yHs7Xoen0dcyGmOj2wcDsBXL5xS+c7nDQd7u9xww1luvvkmnv6MW5Rq2pjX9g522FnMzRJs4U4FTtrIyXLJyfEJ88WMWduyaiNNH+lCGDb32zBqGK12bANx1tDMIu18RttGfOW3ykUVi5xog2PWeHJuNh7H2bowtVjr3mEKggp6jWpsGZK3U9FFvkvqAUllWEPqGHq42fG0NXmg9z0Ffqaen5JzJZbe8DCNbaWvFWQMhDhk86AIzmtYjcQMMWp4bSh4F8il0/18+o606uhXa/r1mr5b0fcr3bBx3dN3Sfc+ScWo4qvlROdN5X7RtdJT0Lx946rTxjP9WJRcZpiTROfR3tgbe0fpIPeiYTQnQup07pW6fljYlw+wFmiAdRFChtAIuM4s2R24NYudyH7u2NtZk0vHvHREP8O7GSHM8a4l+EwRmBm7ntTweuO+rCHkdd+ZnBX45JQoaWqM0/Wp7zu6vGbVr1nnFat+zbJfc9x1nHSJVZdYrXvySSId9+SjnnSyhuQINGo8dYIQcTHj1x6/0LCnOOSgmrcnar2WvpBXmdL15FVC1mJkPKpYuayakrN9CUkOfMbFqB5ep32xah2V/qdS2QNICTQxUhoL23KtbX+g7Sm131rYWxHz/KRESkKXjOgpFZwLmsNZjXcRKAFfHI0EMurZKqlDco/kjpJXlJJxOIKPxAizxrO7iJzZE/zFy9x732XuvvcB7rn3ApevHPLgpSMuXT7kytVDkiWVFjMyVLY/7aDB1qNNo4RzlqNi1NVFZKCpPmwOadpI07TEECk5USxUNKeetF6xXh5zcnzIcnnEaqVhe6XoITWHTRIpq7dwvVpysjxmtQosTxxIoJSG1EPXefrk6btAb+HqrhVCyUQJOuJcHrZ56HtH15nBJ4CTgi8FF4SIJs96epA13nVUY7MUUVrrqtsAckX7m4a9qddHNw33xqoq+nnWfQ3V8KoGBfGFIp5uXVguheWysFxluk5nt9l+gYOHWZ5OyRMe/NQQF/tzwyI5uJDNcu3sb1dBi1Mvj7pZa5ib04FezQ+ewS1bbzFcvtQQpVHRHvMX2AA+xUIOqkowTe7SxG0hex3QwTl67wblc7D+TV6n+thGWF1WROBdUfaOUgalr8qgPDlN1B1YZiaKzuDZmXh+htA3P4bHcaosGyWdngDXD3u7LjgZvQFiVl5n+/UUp2tfsbhvh4Fbr1alXCyROJvHzZKe9XPzkjnI3tN36r1xAiXWmP0aVmYdKWRoGDZ4ExEybrT+isMVDZfUuH5H6scQMMliifoWTtYrAxpO8GZhqSxxUi1IYkuG9R+HPndxNTxsWtsG8E0pqO2n1ls3eDjG3CsZnWF14av0zQZIBur04b32UTkFgCgbPggqNbY34FAppmH0toSgodjZQwkGwOw7hIEFcRjLFci4+rSOSiVePVciY6hOBT+nu2Ltjq6WBQVosRmfLzfqBer60QNWx7NUMHQ9rfSxIoxHIacf6brJ7dOTiowVcT3Dzce63zXXHz3CjxQAjjNmvbM2qoaIqUU8hkDTRubzlsV8xu7ugr099fTs7s5Z7MxZzGfM42xjHiyi7HDHeyec7B1xdHXOYtGyXDasu6D5PmoPJYvmPXggu6ye4jIqwpU+Wa0nVk7RmXq6/0dVSod8QctN0XnAKPfNQ646fRmAj3p+VNktKQ/5PwPhQeERynXa/WPImOt5+vNCymm4Xko9IUSS74w0Ilp8boDkkVmwMLqCJrYUvPeDlTqt16TVevD69EnD3mpuU0qiVPGic2Dd38yCby1L0SuRm813HgUL1WPjq6UlieVO6txZEpS1jdkO8hrSWgFPWhkI6mUwaJQA4opSIwPZCaE4ogguCdCDdCBLYEXKSvagBDKZVDpimBP9muh7vJ8Rw9wUNUcr5vcsKF14oyC15AhSKF0ir3ryqqN0nRJzTICPlEKfe6UHTz0pJzss4b8AxeMkqNeuZF0Uc7A8Ku3Lgwd84jGjKp9ew5GH+vOCdIXSZWSdkTVIEqMkr7qTdZ5siwjOQhedstth3kM7rb7OFzMWexqUpOF8kbZt6LuWvu9sHxzL5ckZnwsQBn9xTpX+R5Rpsoa6G6OiNyMEzvQMcTZOi83flVxEQ8UomRCEWRtYLBr2d+acPbPLuYPM1Qfu5f4Hr/DAg5d58NJVrh4ecXR8wslySdd1ulmrVyIITZ9wuti5gG7W53DO9LBpGKrT/ZHUuOFIqRCbJTE0ZrQMeB+Q3Ct7XK+ALfU9qVvRr5f03VJzHU2fAWXblMpQbFbUmqsnkmiaQkqO9cpzchxZd5GUAn0K9EnpqYMokBGfib4H78k5knIg5UDOdf40YOLKkEs8aLbVMAHqAS1OdaWEEXEUmJlRV0Rzmk3P0BC2bBvfWi5V1v2lStaIHg0zFFZrYb0qrFeF1arQ98b2Nn/EkyjwhAc/UzkNEexTqVZ4Gwiojct50YndawKCdzbpBu2aSgntjQWtWsw2F/7RQj9aojeUdyuVGfEHJaoWdVRCzf2chRSEUISQJ7lBUjvYOJm5U++HDlWV5QIlKKTziOlCFShWECN4sYFzjedHn3f0/HDd3J/hPTXs7SFM5IIp7TLUQ1UoB+/MNCzwFPsHdd+lqqwUMZfqmEwKIwtesUWiJkbmIU644IqnF6WPJBdKk5Qu16vnZLCeAtL2MGfYbVowRSbLsOdLTmpZ7GxQrlZKPBEbU/ajehgcbvD0+OBoF04n9V6vUXuxlKLsb9V7RvX8mXfHQtqKMOy8rZENtilkUPrSGAI+Fs1vQROMpVJyl1rf03rHFtZJPtrEA7QZnueGfjw1CziHUdQKvui6qMRC4zNEj7ECTcYODMxDwzhx0/pTr1cIkIqzZCGzIk1+I5OxpQWagH7r397VxG6tt5rjFJJOB33d3LQCoLI5hjd0+en7hxT3sU7YlOsoqtcYPmwx9dMpaaoQ+4nD+9HdfXLTiYGjAp9H8rPrlNeboap6koLX8M3qqQyDtzJYOzvLdcMIYARHgxt41SNhFjk4OOH46Ji9vUMWuwvmJyvdKyN4xBVy1hCz6vkBDcEJ3hEbT0pBj+h1w7+A5vB4R9tEog9DGFkpqigqQcFIaINo7osS0igI8k5pcClQklp5NWwnGxDIlDRea/QmMTXnPaSoUcsMJWZ8Gwx0k/6TbYuDkhVoDd+IGor6vrfrgf//k/fvwJZs2V03+htzzsxca+29q+q8+ujZ+pAQQkF83LiBIRQBDgFBYOAgSwYWLhgIHCyQJRNLeARYhAJsPDAJ9BnEvXGveEgtiVarpe7TfV5VtfdeKzPnnOMaY8yZuXZVt84REhF9v1WRtdZej3zMnI/xH+M//kMu7szzQqXrwDgkhjVSxkhaI2kqMPqWChIC67KwXi7k82y5PrMDn7yQ87pFejyial6PJnFrNKbgjqTi+TFBouflNQeXWj5JcyKuZqjrAnVWNBtWKSudYpzPRnvLi3qUzcFuEKtZIoqk4OuriyUkJRSl1oLxkzNaV7RmNBldbakrlzUxpoUhDgxxIcWJIW5GfK6FqZpwQIypSzDHFKBCWbKBnnmhrCtaPIa9M9ZzNcBTi1OcioFtA2mRFAbGYSLngEyBUKLlma4YdZBAIholcxDCYE5Lot2CoEqutg6WpXaQyeJeqCqIFdt4Amp0U5KjokW6hKYQzdnWLEvvys/u7nj27jsA3idMjj7nlXVZWLJR25Y1k9fCnDPnYSEOA3FekbAQciavlZQL62rjSTUQk4lwhBiJ0WS7h50Dc1vnttcIDGngdBx5fnfixTvP+Mr7z3hW7/ndr7/ik09f8clnpu72eD5znhfWYvWI3jqX2sLtGQYullUtDaLNPSLCfDnTFOvWNXvOUfT5Llq+lN/vUjK1ZjSv5lxYTVCkePTU8inNkYQ7klI08aoolRAKQ1J+/KtCronX9xOvXh6Y14FaHdRoQFVIKASL5kg01dhaE1oH2zT1Jb87KqRSHdxFTE1I44A5tLfIoorNQ2MuHG8Kr0MxJ7IWcoElV5ZV7J6uTm1cTXChVMjqtlu1elbzYtGeZfa8n1V9rvtyq9wPNvi58mi9xSPpHU8x7qiHcTBVCuxvLGqgbLUset0UNoN0T0Zoh+new7qBni35rXny6dEe2BtqTU2rRYlwapxRkGKwianU5rlrgET7pXYw0A0zPxfBQoQ1OHiymitXJ88TAOPe2H3UB8RrtwhbQc3Ni9ENip21I1d/Ns9zvyHb7VLaSbNR0ZpnZpukmiEuYAsX4gCoohKQ4h5CX/i78d49ZHUz4J16YsmabsCUSlmDFypskZ8tQVH0YKdbCio2aGuuBnyy0mqK5lVZZ2W+KOfHyppNSSjEJlFt7Zs8jyom8xLnSO9rZngY171HH9UWniDBE2ddwS86UGhgEjXwEwNjjL3qvUV9GoKX7iltlLu96ELrh6X1x7Z5fZ19nk97bkX3+hB0R2CpTZVlG3YiloIxxBa9sXvWajdU3UVafK8xigMfA0EhbsCn7XMDJdopcVfdro9bj+16QnqQFnW1AF9wNbit0Co7EO5GatvX2xZBvRpgXH/jyfz0tijoF3zsKaWtBlY7xAZFq4E7VXfwbPke388/9pTuth1ve90X836Nm7neTqHNlj1q1/OutNPdYrQCw52iGR2UeA2uRo2z+2X5NTBiy9ZEConbm9fc3hw5nY6cjhMPB6sRZLlmbkDW3C/c2s3qm+QcKTlTqtWz0OjQKkKKieSJ2UH8ftdqycFX8745dZpSWwM/3W1RncLj0tZGKy19LtqKN1rDibTWbGtF6+vqc5IdM3huQQM/+7/3OT+N9lZL2RxzvvdSCsts4CdGYwCY4yiT00LOAzknxjIwloGak+WmeFKcjqY+mS8z+eyUt3lmWVz4YF39WrdcWFzqnyZQUCtkOyZViSFSY6QVjA3RB7fPI41iXJeKzkp9rNRHtSDN4rXTVlCPwOdcybMny5cdvTmABiz6TjSKWgjoADJY/oRmy/RWXWxOjIU1r8z5wnkemMaZMR2YxsIQF6a0dlXX/lyKgR5JtraEZBH9daWuVgi25NUdXjvPjdL7bqm5R4WkgmggSWAIiTVMSArIGAhrQCaBaFEsE+OwfN5GAZVWFTiYUSm5QDOkSyUUCFUIVUyK3EFOEy2h0Eh9Zuy7N0hzhUF72YfunPGZ4e72G7zzjo1Dyy39YfJ6S14za64sS2ZeVuY1sywrw7JYlCTOSExAJKwrORZSLqRkhrICEqLV1BKLnKQo1nd27BSLBPkap0pUq9V1PIzc3R15751bPnj3RPnOb/CNT1/z6cvXfP7yNS/v772OzmJAdMd9VTXnuDnYvFU8wiEOFKQ0wmmbEAPVHbHLshplVQIhbgwbGyeFqtlAcTG5+VpWNK/U6mDZWUHG8Nik+c1JaiJaKVlk+XKOPDwMvHp9YM0DlYjWRCWhQZlCRVJBSiWVAtGl7WtCNaJ4xFKDUSnDpt6GBKpYEWqcoWPgJ3SWSs4rdwq3WvmOuZD73Nio92uurgZZXMBLrIZVVZas5FpZc2ZZC/NSWXoagTfvlwv8/MmDn3/2z/4Zv/zLv3z13s/8zM/wP/7H/wDgcrnwj/7RP+LXfu3XmOeZv/k3/yb/4l/8Cz788MM/5hE3I6IbN7ozNNqkG4wCQa1ICAaGqv0KbDGpGD2izbTmDwp9KWqh5Lay79XE3sgtgev30SvDbqPHaR+QzcOeq3mfcjP+tS2FO4/qDgD1wehGGuLIe39uzZAOraWsTQSP+gTzonSakXvqzfhoYeUnG5uBdHVyb6BQubpL7Y/NW78ZEk3j/anmu9CArJFZkECl2Hl0K5gOfPbRi3oFfnzgxmDJxzGwtoiPg57YFgogioXqa66IFFRNRagBIKtsbGoo80W5nCvnR0vKk5ZY77LMaQgcpsB0iAwJhjEQVnpksVY3zJsWsIVRunen1W6KMRCTJcFrNyzVKtWnwBgcAEXzlxuNzmrtdJU5p7hp0R3QaZQUPM9nR39r4KfSBR5oIMU7Ys8nU1xByHCK54T2/pTi9lvYsFRp4MWBmOKiCanl5ljEq2HDEJr3caPytfPvM8PuOE1Gtjctst2fTC/S2hbJ1j9bm7X33kA9zRbY93tpE8X+S/sh8XSM7N57Aoxk99kGfDbJ+T6H7fZZEackuPjJW077+z3eoL15e+0miDf22Nu2/d0wca/p4yqIYqqWKXmh0BQ6+Gn5ak24I4iJdtg+IwZ+JuAIDNyMXg/o9sjN6cDr48QwRKOesYv8KGaw08CPsKbIOkaGHClDqx9kxx6SF1p140TwMdoAS2lUuNYMG/BBIib56k6cJnHtOT45V1N9Ky0iou7ksLvU79UOxG/sg+2eNODzVAVuD5jsnHfgZ3e/Sqlc5sVaNpj4wpoCS0xW+HUcyeNAySNlHanjgJYJbQZzLoQYWc8L63lmvVxY5keW5cyyXKzA6Zr7dZoDQTxq7FThrLAUdKmQCyUmV1mDmtTF4Ko5UAA8+lYfqgGf+0p9KNTFcivxXJZaxNWjLFek5UjQDGLrWNQSCFTLAQ6BGgMyVDMwVzM2VVfCUsirEA+By0FIkzAejozTiWlaGIcDx3G1Ipe1cqgrpRhYiuJxGLEIBarUNVNzpmSTa0drr7fTxk/RYlvNVG1FxkzMIBEZZSBHpQyRkANlikSN6FoIZVOHDdVAngwgSZDoc0NVNBf04jluOfu+raBwFBdC8s5odbLa/L8lXyoVYvDCxu5YavnS3lefPfuI999dvN9Fcv42OY/++s9YbsrlmYk4XFaGy4WUViQmJC0gibAsHvEppDWTB5/oJXgOso2/FCB5bmf3jCnOWrDrFoEhJW5OEy+enfjgvWe8//63+B+/9Rnf/eQlH3/6kk8+f8nnr157HopFpvZrXL9Yn2Odc0MXYFLdHE265X9LzIR5QWJyhomLpAguy+8RTnXJ1caL9WikUgieV9OizSFGhhhtXo0QQyWGzCEpQxVezYn7+4mXr47k8gyVG+A5yHtIeg3ha0iqhAQlKUFageNogEejjRPPsm1KdRqMOWTqQREkGd2tBmqJVB+POZuwhiEVu7aiOKCpLBmWtbK0+dHTBUzZTQ3sZKO4Lbn0766r9ohP3eHML/L4U4n8/IW/8Bf4D//hP2wHSdth/uE//If8+3//7/l3/+7f8fz5c/7+3//7/J2/83f4T//pP/0xj7Y3MrbXb7yjoGpotXVI0zWwAdq8Z1VNVtrUwzaVtM0YaLaJbONqB3Cak6obhrvnvdHff9uMTqHTjqRYuL+Boa3OCt2rujc0pO1zt+8t32gDXk3BzOhv9uOe16NPKC799VbrpyX3Nq/wZhd9L9rb7vVu4e3twR5Aupey00m0R4Csfd2TuvdfO/DZcG4z5M2rUDqIapQuG1QqJrVYgpDdgEwpdO9YdOMLgWkwt0ItFREXt2iLeae9eeSnUd/OlctSaTVoTJ4VpoNNyMNoQGs8CLnVvHGOq6wtN21rv3afzRMeXO7aZLXtA1uRLOpj4GeK0eodKJQayNUVU3bUN/Zt3MHmBiA6EG2iHD65SIUmo6zgtYSwyJy2iI8leNYKNWzXEQOmQqjON9dNKA5fWDXYc9UmkECnvMVok24prZ5KG2BsMvJ1G3fX4GfXv1tvDZiiXttX2L7crq+BoHac/ngbEOqPp8BHNjTQ3vpej6curH3kBTvFDt56lPoJnqrBJde/PPDZHXabJ94APt/nd2xX3/S8uuqbyBWQT9FpK8mfY/BIafvOviUDlpp+AKzAZAwnbk4nTqejiR5MA2mIJuyBUqolAati/V1tTlvXwDokSkkuG5tQtYPFEBiiqVHFnXiAed+tY9a61WtrNpC7kjqKlja/72r8lFK6Omfd1fjZ2u6Pbt99BGcf9bF79nbw0+q8dUqcQsmFZVn7cXNYN7XIAHkaKacDtR6oZUTraBZGKVasuFRCjKbudrmwzBcDPS500KM/pXbakTkQNjlqXdVUxWaL2MSk1AHC0NSx6FFwy4+sVovm3oHPfaY8FnS1feI0Hq1ibV7s/lsR1uq0L4tqSLWaN+reGg2BOkRkrdRqvNe6GuVNzjP5UpCkhKEQpsp4e8t4ujDdrEzTieWw5eSUmqljYayL1dvRiGC1d1DtRVfrapuodmdGo5r3iDjFc1xssgwqBlJCZIwDuQphEIoGCoLGiuRNXj5UA5MyGPBpUa9O316LSWTPxXJpnVbdC2njOZJU7+dGHW8y6paAVz26rN2JBNqni7tPHnlnMDGAIoH6QaI8SwZ+yivO54nHxw8ZL+9zTi8IMSJhpkpAoxngEgMxGZhNQ3TqlwLB/X92phE1ldNgERiTTb52aCGQUrTIz+2Rd965Zf78Iz7+5DWffvaazz6/57OX97y6f7SOZzz0N9cSG2i4hrOBgqZAuHOEG6PIhBtUVppntI33ENr4xecTQ2sCLiThUXO1Qr9VLTIKTQjLcspStJzKKIpI5fZGub0TPvrDxMPDwP3rnyTXd5BwIMQCYSHWiRB/mjT8V2I29o0UQTXS6mZVd4x79UCbzUWoYsp1akoIECyfTzWSa6TmaOU/SqUWo7s2ZUcbJ8WdBDjwoQsfWI40rKuyzEZ3m9fC2pT/diJN+P6+zONPBfyklPihH/qhN95/+fIl//Jf/kv+zb/5N/y1v/bXAPhX/+pf8bM/+7P8+q//On/5L//l//WDe8duC243fhzAmDHji4Iah7UDnraL/l1f2HYLij2sh7Z//cBPDK5rg12ubKVuS+0Mt26oy5ZrsRdM2Mtnbwvu7tIdTWkzhvpR93Q2uveY4J4Glb6A2udKo7aYgblTEpJ9gdPrM9hayI+q13B0i/TsjcoWbWi1H4wmsSXaq+d1+NV4GHXvZW90gR45cu9gqQ5UdDPke0FZxPOYABFSDl0tLeTalWmWyWOquPfFX+vOC9LupnhtnaYotgETfw6uuDZAHCGOvhD55NwOUZsMpOCFyOhULQOy2ncrQZFk92mISgowBCXFaoZjMdWcRplUb3jdddYGpPdS0EYbcllgCaRQ0SjmPdP2zOaVFpvXmo3cbo9NnBuFromCVDxqFbxpEk5Lsn7SjPwYLd+nq8QFsXoZQaiiXgvLx56wheK3zrEzwJ8+Nmpqu7VGY9jZ+XIN1uXJZ+w++6MfTwHR9/70+z3atbz1+x0I+bj3/9tv3t4OT8/mekzLk7e3kb/f4/bcWrwJYNjcaxH3EAPDEBmngdNp5HCcuDkmptELMWqmrAtaRkQHyxEjYEuV0V9w9aztDFdqXSj5TC1nar2ALkRZiSETpdBEndv62ARK8lpZU2FdChGjjeYoFK2bwbkDvnY5G4CQnWLZvv20KGsuXsNj5ny+MF8WFlc928QO9o6thri/QIdqcx70oort5rQIYO2OJR8fOyeagqlNPc72MzXjKrrDJopSjxMiK0EqMVRSNA9uE1MRsZotJsm7UJ2SU2t2AxCj6qZIKBHJECQjWKI+Hs0wCm5FM25QF9ANPNKcTqr2elXKg0V/9FKpi++j/cbXCdVtzbG1s1i1+L4GuoMzVGS2cgcaTBlNNaOlmLCCqnm4q0LISMzIuVDXmTJHyhJZD4X1UCgnYwOsx0KZKtOQiTIQSF5sdDDHjgtf1GVFl4KobsBTbJ1VNxJVaqfN45K/UgUpgVANCNEo8QE0FiRUy/N0B4inZNh6Z/U1+3go7ihUn3+r05jQaIatj2qrcAm4QIUNc0GkQExoME+/ZJMtFhGKF1cdPi+MwdZSDUJ9WSl/tlJuImUsBCoi34L4OVF+CoknQrwhhERICQmJaR0pq8teF2u/bf5WelKKI22lcZczMSViStQykNLIkISbmxPPnt3x7jvPeUc+4fd+8+t88slLXr56zf3Dmcs8s6yr9dddrvP+Uetme3Q3k4teiGonADQ2TaMKKrYotrxetckEVHoEsAmxtCN2e7M5A9R/Q3OIKbaQNRnZjD6uyH0mhIzEgsTvInxg/UQKSDZLph7J5QUxZ9alUkpgWTcZ6rIaos3qOZN+OYOPjRosZy65UolitdwiQkpKHEGTMi/qxUxNsW9dPYrjNDajqtrzmmFdy7Y1lb9mG7epl83u/jKPPxXw87WvfY0f+ZEf4XA48PM///P8yq/8Cl/96lf5L//lv7CuK3/9r//1/t0//+f/PF/96lf5z//5P/+xwI/3F1rf6i9aZ+wWuOBuv2vPmL14Y8HZL+kbcNqsedFtEfzibS7X285op03Snkex0b882nmVd9CO2jy7PsHtw0v+3MDOtQywq4JVqA5q2vRqhrDn1cBO4vpJzg9tMmi/akfdFpy3WVn97HQHHXp0ZpMC7+Cn0SW0+Zz8eLtG7+Cnbjk/xiffR360t2kDdhsIFGo0fnkotYseiEDOfkQHNtoBjW3qmZ8StCuZDYN4roVsFZFFSKPRJdIoxMle14B7f8VoA9XeK07PqFifEFdVaQCvVI+iiHmNWk2dFKrL7hZCUAM+2uS83wTsDSB36WcFTfQaOISWJxSu8oKsmvoGCau0CZtOGaSDJNlojMaY8crM6gnIDnZcalz93gDO3/Zowd4z6gAoRqfS7DpYByttXmhDbut821hui+fud/Ik+nPtaPAcFHVDo/rU8qS7fy8w0f+SN7/1Pb7+xkPfsrX+/DR8a4wzi0gYneJtx9ujmobu2J6xfnz1UT/VsFFAtJlodkYddjYjCct1G4fE8TBwOk6cbg6cDiPTEIlS0bqQlzM1D6Cj0XYkIj3XZ8tnMSNsJeeZvDywLPcsywO1nEFnAgtDLGiqXtXck9o1WDX7ql16eomFJIHVgXaJwQpCdgCk7GPbdnV1m3tphoe9rrWS18wyr5wfZx4eLpzPs4GfTgVjA1ftBvR7v71/heX7x9r77dNbWbvikt+Nt6xvAHnNlPPSD2fS/eYoiShBM8MA4xgpOVJTooZoW17M2VGTgZ6SqWr0rV4oNXoUvQzEYjLSVdWM5eYtKbJFoEvLBfA8B2yNUo/k12K5KTWDPip1Vlibpzm40dnCDjapaKvf1oAQhaAeKRM2Gl1QmCshVDQqiOVbWPtaqEQ1WELYWrv4AfOKXi7ksZKPlfoM6hpMXCELZVSiDEQSURJRquVWrdWiPktG10qoRltO0dbkxjzQ4L0qeC8rYvLSqyBFCEUMcBTPipOAen5poFpuqIBLwPmNVry5dtZDkyRpr6M/BwdJFkGqyka1ChHEaswwRGpIfk+Vulj7ZlFIVnx0KOZZMidYIfz3QHyh1BeKfgBV7ViR30LCc0L4s4gcCclER5Z1cGemRVF7PUXvIxR3rOXssvKriQYAISVSGlAdEa1MQ+B0c+Lu2TPeeX5L+e7/m29892M++/wl9w+PXJaZ7M4JkUqoNvkpnpfX8giu7K3ABkWa/eVRGx+crY0Fz1lGu63R1jjxYyBbfTI8wbZRyG3huZ53WrRItXQnxHnNPOhCGhfGaWU8vEbW76Dyoz4sDCypJkr5KXKuLEtBgpBXk8Euq0VgVIIzbYTQ7NJiNftqtK20vEm3J0KsTGNhnAqPU+Wzb1XWuRUqLT3PZ8mFdVXWPQDKsKylq8CVpuDrEfhrNsYfsWi+5fEnDn5+7ud+jn/9r/81P/MzP8O3vvUtfvmXf5m/+lf/Kr/xG7/Bt7/9bcZx5MWLF1e/+fDDD/n2t7/9Pfc5zzPzPPe/X716dfW5LfBOvemdyzvlDviobPkhnS4AXSGtLSj79adB9z0YurajtAMX7+7diDJj1SbevcnQjTNtx2zULgM3JRjXue6M/9poXEqnwTUjSkSv6F9d+XinatUiBxuA0R75obWY0j3abQBaFKBFjmRHf+sH92uSNpu2s7huq9ZGSs/n2CI/mIRo0Supw56zU9WS43Ub4t29f2W5csUv722n2lXWetvt7D2AHJvoQSRkJUQz5BaXUSQ4yHEvNi71CJsBH4LV4xkG23MN3iedopamFvHxujITLtlt/TOoEFErQuYNlxUo2sGo0ViMWhBpkQ8TA0hRd0ovdv+DugyqeKRqV/+oL33eR6KfL9WSXiUA0V7T+6Ddl9xes9HWmunXE9XZeWB7JI/Nc9N+I2ZT6O62NopmdJGIVj9FMK9zFAOJXgPY2wZfPLdhj0inHe77oNbtdbPbW58MsF+/to7SxlEDSA34CG8XQPhjPPbL6dNj4+clu65fe1th85uYZ67lRBUtX2hd2Of2bL6FzRjfE1v3p3W9E2OFR7wx3WuMR5QJmMjBFDlMAzenibu7Azc3I4dBSLGAA5m6TEg5mRQ9iU3oIO6OXFFdKOvMsj4yX16xzK8o+R7qI0FWhpjRoJaDVixi1A3lDHVVshQWySQxvnyKkJMV+KsxuVgOfQ4MfU5VmqShiO5gmaK1kNeVy+XC4+OZh/sz5/PM5bKwtBo/vY6JzYG0fiTiuacbaOl0mCfTnplTW+RHdd9ZWucGfUvvzOdCvjfwI6oEFxMONSNUAplxhMMklDFSa6JVhq8iFpmuxfJW6opqoUXCTfHO5tNhGFi1ObUUISK1WHkHp881SWUVNSocChi9zijGhbo6hS9XdLH7RzEK8xbj9ElLnM7mhK0mfQwWXZJggCtIoRYHS2o3VqKisiL42JGAltijwyrVJuZFqWGlPBRCmFmHmfoC6rtQ5kpdYJ0KKYwMYSTKwBCcMrYWV6sr1NVqGiU3IpN70k2YQCA6+JEAGcggJSCrQA6EopZcXu162YviRFP7RAI11K4qp4oJPMRi65M08GOgpzq0j2rU6Wg1BXyeVIiKxGA5OcEkw1UChUDJYMWBIHvl6JiVlH29DI1tkuHTQHnpQhTvQQiVGAshFWL6b4T050mXkZQiy5qtt5dmL9Xu0NSylbhYl5V1WZmzsC6BRSHW0RQKsTV8nBLHm1ueP7/h2fg1/j9f/y4fffwJn738nFevHzifjbJpzkPpFLUgbUi+Ge2FxlChO1absyiE3adqOTMtjzmgJlLg4Ae3sVpOtohR9yjNpizb1NDWJbExLJ7YqyWjZeVSFs6SGceVcZo5TDMh/gGlvkslmoqrZAqZUo+U9R1meUWQpkTrOb8ZqmQ/hhhDpQg1B0rM5JhJcbXSBakwDgVJlSEp00GZJuVVrFwc3CzZoj3zWrhkK9bbIj9rbgqN2sFRzoVci0tm06PYRpfvC+Abc9z3e/yJg5+/9bf+Vn/9F//iX+Tnfu7n+Imf+An+7b/9txyPxz/WPn/lV37lDRGF9njjchugaJEe72R69fFmSGqLBOnuOz0UuTfe/dO+37cZKvsjsbsZG11rf8Z7ENTpQNU6cJXN8O8RkORh1l2o6Mne2FCR9uWgAxcfJGYYm0FKMBWl6gbL3rtrxl4DQdeRnysAtAN1NE+Svnl3rkHhRj3cKH+7yE9PxPdr9/bs4eVmbPZGZMuf6jrxW+5Qf95RP/p5KcRUCSUQo+6KI0Ju4GfT9txe981ytJos85isz9XgkZ2gtqiNYqBnxKI/o/F1XbyOaGuK3bNmkPsc2zjUqk7dq617G8WuRX6iVPe62BJWwnaO3vK7nttN3E7Vi1ifiKqm+qOmYioevcmuhBYK5KAUjILX0ohUIbb+sfO4Ws6VkB04NaXDZqu1haK7yfz9KK0ujFNttEUxje5Wg+c+QR9jDQRZrpp6rSofY41+Jz6WdvQ9dSWqSvPUbeMA2hiydlIPN7dIancEfuGH7P7n6vX3m8PbYapsMRAbai2K6Y0XxI3j6399zDw5qO74FerzxX7KasWL6fcWWt201kjeHWle5N0kYvQwzBgex8ThMHBzM3F3e+TmODjtraB1Ji9nSp6hZu8KEcv1aZGfDfygKzlfLPIzv2Zd7inlEXQmikd+ovVNyRERy4uQatS0kiurVCRkUhCGZLWf1iIM1eraPKUZC32W820P/THjplTW1ZK3z48zj48GfuZ5JS9G7d1qe+2Qc0c3TyepJ50EMArN06/vfifXP3naPcslM39yse9oRXQFrUhZEc2kWDicAuspUfJk3uQSKUAOvq6GYEU6y2qCAs7TbWtGjJFIIlUlp4pkU1M1/VuxIl/uRdGqRjOLFaRgjDe7R3X2gqANKGWB6tGYzrcN3j9b5Cc4Bby5Qt3p4wa8iFIDhOo15LKPyQimgFKdeytApOWXqCfNKBV0QdwYDSFSH5R6tmhGfQ7rqTLEwhgLKRTGpAZ+FqPv6Wy0vYSpYI4JWyuiEJJY+D0GJPmAX8Wu3TdZfU6sjbZuHqKYIKRqlOFkc1+RQgnmkFXPfbUc6NaLt6Ks23P0kdZyUVvbYRhzgBAVjYpGz63JdIZKifYcqzJk8xaZIq1FWAmVWgQ+AZFK/Eqx3JWUiTET0v+LlH6IFH+StdE7d2C+euFgLaXLyF8uC/MlwgyokEsLU4zgkc3pOHJzc8Oz52cuv//7/OF3PuG73/2Ezz5/yev7By7zTC6FUqsBkmq1E7UVNu2Jes2Z6v1Mgs8Hoa8fLYerwx/Zt2OT898YDhJN15IY+v2sBXxEdBC0X8/bHCQe+THa5krNKyIrw9AiPwu6zoinBWgpFM0omVIWVj6kkhG+tSnaVstrFvGIebQCpC3SU9xx3F6LrCTvF8OoTIdCOhR+76GyfOzy1NlEoZa12JYzi8tW5x79qR4hqnYv3Hmyz09mZw9+2cefutT1ixcv+HN/7s/x27/92/yNv/E3WJaFzz///Cr689FHH701R6g9/sk/+Sf80i/9Uv/71atX/PiP//ibX2xoxRcTAzFu7HrU5w3wswMy2370CgDBZnSIboZOR6BXJ/CWc2oLVL9JPln3fez21bzk0pL0N+GDfQJ/Uwja3NdsoKidczfOtiTKRn0LgoXUja/kOT/1KWvGKUaN+rYLy+5AzxuXq9ut2N8S9Prz9npTZmvAp1wBHy+UbkPc55yqjVq1GQ77Suq1gx/6YGnFMTe6o/PIUauREKuBn2K5CYLxU61B9K2bOnKRYIM9JRgHA401bACoBCUNOAAy4JMGW3ykKFKEWA1wNOu2S0y7VakYUKQoJWy3XYI45c7paw6ABNm8007RU54ADpycJFb/pvcdhKQNkJnvvRRlcfqKnTNIFdNBUHWRgl6JZXdfZLuf1SRWa7OU20LaIhptUfUOGMWKywbxPC3sPKNs9JBGRW+quM3+39T2DASpGrVQymaqdu9Z64veXH2My3Uv36h9Bt72NLK9V/5qZOj26+2VboDlzY+/0GM/xq5OoIFI2Y/U3c6fIC6V7bq2z59Yzvufy9MT1d1TMzTtzAwzVVridEqRcRg4HCaL/NweuDmNTGMgBcVyfma0rJihApvKW2R/xUqm1pm8nlmXR5blgZwf0HpBdCGFzDRUqELG5LWlWmfrYgRZyWrV3tcQWAchZcglkEum1E0sANr9bpOZxz3dC925/GoSx+u6Ml/mXeTnwjxb5KfknajLFfDZAaHv92hOHN0bYm+5Lf1eyhv9qyyZ9f7i3y0EXc1yrSuiK8urwHKZyOtELQtaswEgMU9wUKPuWA2h7EDR3SBiTocQo5nQUQkhOoUxtMXH8zTEQ8fNoNuM3FqFOhfKUiheJFargkfxBDNMtTlbnOYmEnxm67PRBjRRrxO3owC35iniysVO3wttcgKtVsRS/aaZPHeBupgMNaBrhDWij4LOgXoHw6isgzIkTJlNI3U1qW692FYEdBBIoElggDBEQlJINrdKFLQEB4wBKdHkqbu9AyqK+FoTHPjEZMVZ7WuuMNib3SKMVrBSUImevL49b+aKbsyQCDIIYYQwYGsdzfG4KXA1vBLUnGTbomVrQMPBfKyEV5X4USb+dCQeCzEUQiyk9AcM6Z5cnAbW5hWx6ENe36Pk98j5QF4LQ4rE4Npk1dgbkpoYgxWRnw4Tp5sbnt2s/OHvveQ7H3/Cdz/+lM8/f839wwPzPJNr6aygioH2ve0ImxO3Kz02HrSP5229sg5mjhTx6xfPyxKXdveyGAGr9xNjXwcL6ipq+/XF84zx6d4MB8wpUtBaqDkjZSEeV8ZpYTquaMhI/jqUn6KKR1M1U6vV/an1RxCeU7Og9WNq+cQFn6QDYBSjvkcD61E3UYlhMJZJjJBGZTwUmArrXEwUyultFtVx2ttqtXvWvK/NZfQ4c5ia5HUrMt3M3719/WUff+rg5/7+nt/5nd/h7/7dv8tf+kt/iWEY+I//8T/yC7/wCwD85m/+Jt/4xjf4+Z//+e+5j2mamKbprZ/tr9uWjl3osRm5O+ADG/iptdEZtoT/ruymPpHo9XGs37au1wxSthvSUelGuWpgpVVv7rxF3ahuFRAxT3qLr+dSewdZ1kKQxoGsvejTljS7cdO70dNBTwMu7jH3iUPdG6tUzysJ3h7X4KcBnx49Cm5YtS91H+hb7suu/a6AzxPQ17m7LZxZrzdl+6xv7HYI1xGeXZ7PpjLkx2iLhS+G1mQtHL+daDtm6zP93/41BoKCwJCAarzcoVpCfg305yEFJgkkDYQisLKjMehmANTdcXdt1f4WzB8Xk9VvSINQs4OQ3b1T8WiMYHLOWCKzFjXKD+Y17JIcKp0+KX1E+aSNGNUBB3tOrQul9fmd4baz31Q3g1HE6G3R39s4540O4D+q26GvLqjBbldzsrHj7bO7x3sfQKPx9a6y7zvtEq9fbO3caS7b/rZ1zaJA4mMKdhHFJ3PGU6hwFVndY443QMX+R+030k+i9cUm7W/tuB+H/iMJ5rX0ue0qqCDQK5WH3TmHqxN70jb6xjW9caUOqGyqiB2MT5NFfU6nidubA8/ujtzdnri9OXJzY3LVp+PE4TAxDQMpNKob2IC50OKMqq94uP+Yh4fX1LoyDoHTcUDrZKA9WAX3yxmWOTCnyHKJLItFBcRRsqrl9lliLcS5comVIEqSQCIwSGQIkWVYGVarQzIviZRcVtvp0SNACpwvFx4eLrx+eOTV6wdevb7n4eHM5bKwrg4UaMNl18H+iEe3rXZ9/JrbsM0dbbffq18NdyOnH7v1r1aiFBvXUghSuHvvxIv3b7i5O3E4HBgGV78LAOagQiDXYkCxFCtgWbJJPpeVpTRp2sy6mpe+ep0xCw44YInqKpAbTZZakSJdVVOL9vmxWT4GRPJuvfbvSKtvlKnVPPhlNzBb/ZlO1VaLcqs7A+Uqt0w3BbNQHF8p2hIYs4NGVdLhjnS8Jd3ckI43pMOBcTowjUem8cBhOBGJpvS3Gu1S10pUK/7cqMtBLPIjIUKLAAVBxBwAQQJRAnGIKJmg1cAoJn4Qoxn6EpymTcvFDQbms6DVE/nH5PlBQgwDMZjAQJABQiIgLjNiDqiYIAyBeBDCKIShzQmVUBoFv9lW1o5rGpnHaWvP3UbrvapwtvsepBJjZkri9+ZzajVJaPE1N0al5MC6viSvf0hef5xlEFRfUKuylMJaKsOSvTYNaAJNkePxwOkmwcvf4vW3H3h4eODx4ZH54nS3WrfcFdkoadFthKptztd+PTY4vRi7j2qbVlsOj/c96c3gn6vHszcho7ZQSWMa7Ra1vm+ng6eIqVOOA8MwMAyJweuUBQnIHwjxzynDVDmcMoRMzI+kPBLWhZgLyEhgIjAgfBP4JiFWNKhtydb8FC0inFIhhGJ/h0wc7HlImXHMTNPKNBngGqeV3wuZ5etea6vbVm47tNyhXR20XHQTNyjq4E+vm+Ip8PmSIOhPHPz843/8j/nbf/tv8xM/8RP84R/+If/0n/5TYoz84i/+Is+fP+fv/b2/xy/90i/x7rvv8uzZM/7BP/gH/PzP//wfW+nNWBdm8CvqQgS9nwHb66batldu29fC2b+3/W7bU/u7Lf6NQlWrg6C6T7LnCui8kXj/BMUG3083XWTLf1nWwpws2cBCgy0JzIu3NQC0O8/GHjJZWS8YKE0WsYEfS1xwzbt+/dcRI64iPxI2YPWmBSTXffItnfEKAMEOPG7gZA+CrqJieKiTRlXcHcjnnlYvR/vm90e35z3o6SAo6HacDja2CzQPULtfuqnu+UWGYMn5MigR94KI0MtaCKQUmCQyqBBygEUgg66+ZYVW98Mpb/v6MjbpGmqI2sCPkNZAGYJ5ANuM24CX2jNiXiVNoKsH5hWnZjvocXZcj2Y4bURpCkC1U8xEQKqryJXmEZLehv1e+wvrkxtFz8ap1d6q/trMR6GnjPTOvLf5DfhY+1iybxtvfXKsW8erzf5v3aUdS/sR9t13O+bu+/Bmf2iiIb2WBLLx4a8ufjvvfjnSwNM1+GmLYjt9+67/rkVy/Lm1cFVjj7dzVHd+bOcpDoSlUzOa8wboQgY4e6j/VLge4/25RTd2zbZvmx7NEl+gt7zBKJVxHDgeRk6HkdPNgdubI7e3R25vDADd3hy5PZ04HQ5M44TEgQ38zCiPwCPrcubx8SWfffox54d7almZxsjtzUQQZYyJcTAp2/ND5fwonEPg4hHERhLpwBkl58yyKiEJ4WIe9SSRwWuqjCEZ+EmL1QBaUi8kbPOJrQ0hR85ni/jcPzzy6vX9Bn7mhSXnXil+N2O3u8jVY+f1UB9IV+DVB0eP7LXF7ws8xruBw50Zp0Hc8I5KikoKyu1p4vb2yOl0w3Q4MowjUdv8rygOKmr2ekqFNc8sObOWypILc85cSmGZM+tSrL5RVo9oez8O0dowKp0L20qclN183sdua5A+6dMWgJ5JKMEL2LrMtedXtT7axnMfCx4KMaru5gXoTSlORxpBpmDqlEWtuOfaCqHBeDoyvTgx3R0Ybw6MxwPT4cjpcMNhOHKYTkRJaAN0q6LZAEPEojZNSIMgBtCbFS5ASAiREBZCiMQcMdPQa7+QUQzACi5GIHRaodZgwCf79QYheukFHQORgRBNkltISIy99l0MgRQCYXRV1NGLp0ZxWX1jbki1jKHefhmWceDsDmzRSlQ731grooXGXtQPFD3YvYwIKRqwTS7JFKP6OqLE0FTJEutSWNLXSOtIKX+JnEemNbOsmWFI5tyJ1n+kBI7uZJnDmc/PZx4fHzmfLyzLTCmmVtjATvSoTnS12+q3o02Dlgd8DUxcGqHP78HXsX1+agjab6tgkVTRgNTqSUKKe6V7H++gMWCCItHKdAyDMA4jwzAyDAPjkBjSYOkKaoB1nCqHU4GQCcuFmL+FhHdZowITUs+I/g7ox8BiBgLV8+/cGRQLaajEaFsKawc9Kdg2TSvTuDL68+O48io0hUubJ9vI2mw2T3XwtIecq4keOFukshv/1Rtw5wT54zz+xMHPN7/5TX7xF3+RTz75hA8++IC/8lf+Cr/+67/OBx98AMA//+f/nBACv/ALv3BV5PSP99hdtBszV8nH3rG6QeBIuokdAOzrJOxBkH3dd7ZflnRbgHpUh0bp2eevtPcMnJRaKNXkTVt13vY93Oi3BbBlHBjn0cBOZU7GpV7Wwpwrq0eFWo7MRoXbkthb5KfLZ8ZGY3Pam9PcKptnqBlLLeel5VoEkV5pvUV+/K+rHIUrPCLs2m0HOqALN1T/8BrouEGyAwDNodfaXXcHk7b/5kVoFLoOMLeI0P4Yrf/YfY/tBP25dR76d7Zp4Fo4QPFq0smSVnHus7qRWr0vhRQYREg1ElffbwM/2beCA6BmzGtvi1KV4rk3UYW4CDEJwxrIq01y3VMTlOD9XkWsvoNUEnZpll8mFNlyjprXdIt4BC/8J1gye0BDsUlR26Tv7V/tvFvm9lU/8L4RHJSJt09RdSPHCxD7fd/AQjOOoCH2dixVMXWf6spxbWtFXIUucNQECvqtbVzh3g/oAOvasNzWnv0jiEfNRDdlOG/XvXBCu4o3gc81/XSHG7YO1/YJSOh+6rc+WvSnObEbNaET3gS6osT+0YZxsL4a/Vpq2CI72+y3jef+9xt2dodxCJvqj9VoCqRUmabE8Thyc3Pg9nTi7u6WZ7e33N3dcnd7w+3NLTe3N9wcjxwOB5CW6yPAgpaX3L/+nE8+/YTXr1/yeHnJ5fKaUlamYwI5MQyReVo5HgbW+cDDWLkflUEs8okqa/MyVltkqxrNYpnbDbeE9xQiA4EhJIYQrfhpSsR5q6hOi+4CVSohRB7PF+4fH7l/fc+rl/e8/Pye+/tHy/tZs+e87Vo5iIsO2KSjfl/7HLVr86v795ae8cZ7+066e0zHkdPNAFjUYRyEIYgVYI4wjSOHaeQwHhiHkTGNm0GmVgtHa6WUlVwWSs7k1dTslly4lMolF+a1Mi+ZdcnktZrSWcHoas59kmiQVDOQa6f3tmR2dWdHX4t9IGsTwmkURCJgtX7MoMrkmilaTDxGrCM3OXBRYdCW6+JCIQS3FUwsQYIiMRGnRLiJpJtAnJIllxe7HtaKVBjvJqa7iek0Mh4npunI8XRj4Gc8cjiciBIt+l7oIMhubPXcqwbg6BRlo6gpZCvEG2IkhYQORh1Q9UKoHhUVrD6RTYiCedkM/NQaLPJEQEKCFAmDF/glEDVZhE8jEpJFhoZIGkwxLUYheG2uMBhFvKIUVaRmv4a2pld49YrLuwOPP2zgJ0kmvgykh0KVTKzmoNNBqe96vy4WeRkjDKFQUkYwURRpqqwvlfIisIzmlFiWgXnJlPzfKfnPsqyjRRzH1RkZRvKWmjjdHDkdL4T7Rx4ebHu8nLksC+ti7SbgwKcVXHbVW62mGmk9xpa8K7aCz4LOCJGWS4tcjWaFzqTZKIEN5Dgl1O3UFhXq6qjqJShiZBwiwxAYx5FxSIzJ5byHRAwDUgMxKdOhcjoVQsjENLMs3yCEE3E9QT2j9bfQ+gj1DHWllecInpAsQUmpmnMkFVJSkhSL/Pg2hJXjZNvkOUafjDPnrxcDP8VrF3kXb1TJFgjIHfgUz/MJO4p6mxu3qPneaf9lQdCfOPj5tV/7te/7+eFw4Fd/9Vf51V/91f/lY7UutCdhiBvYXIGga9rbPgL0FPhcU0Pe0phPDGJbC6obX7WDnu+3lR4R2iIJDaTV2igM1hHMg1YZVgM/liy2k//bRZX2i6WwgZ9WVLADmQ5+rt0RBoZalMf2EjrgoQOq5oF+k/b2JPLzpAm78bn/UjdCdYva7KIvV5TCHQC6kojt+9ndx+7panTE1r7t3m33cG8Ib/Ezrgz3lhvUz5Wd4wHz4ogDiRC9TbS1h/uBQjAxABUk++dZPfqjPeqzAR87gK+xZJfvzsVECIYB0irkNVDWaIZTdBnI6B5EL2qHCyJo4xoXQVYHu96pTb/BcpCM5mYJxapW90FbYn/3VtkkLVX7xN/vcRub3UA2oOBBKDO4HfigOwGHBlxaP3H+nugWdaQKWmQX+dlFf3TrP+18dn5xWtRnEyB5y/je9Y/ev9zQ3GhvTVNAN9qbA97ajaxtLRT/kbCnUnRMZ31Irg/e8g7bAa+krFv/FN0UiVrf3EVf8OjtXgRMdiimcf+t6rvtNOybpns0/ZC7z3ZT4Qa2rkJHLekdUlLGQZjGgcNh5HicDAC1aM+NR39OVrT0eDgQxxHpCm+KMnN+eM0nH3/MH3zrW7x+9TkqM3BByUxDZAgjawocxoE8jZYDEDMxWLJ9LZW8FGQtLLgBr5WaCzmYR7nRmkQrQ0yMJKa4sISBJa2kYSGOgXkNhMWoQ21xVoQQCufLzMPjhfuHM6/unfb2eOEyW5V64+5fG0NPWnR3m/1bzcDy/tfojmHXJ/Ste3j7Y5oGXjwz2luMwjhYnaMhBoYUDOjFyOjPKUaXoFanr2RqzZS6kMtCzpnVwc+8FuasBnwaW2E2ZbPiUW5LVWqRDQjqeZKA1mIS1O5QecNh0ef75oQKPl83QCRbDmnN5GqRH/Ux3NY+kUhQQZqUtdPu2uwmzWyVARkH0iky3A0Mx2R3z6M3FAM/w2lkOo1M08g4TYzTkePhhsPhhsN05DgdCZJsjnaqc3VKvHquBlrt+nGPtzRasIJEy50KgRASsazgkZ/IBoRMBS+gsnjijdPdiuUN6SqWU5ISEgckRQM0NRLVCW6akJgI00AcBtI4kIbR6jal6HXxogNXGy9Siz975KcUePWa5SsDlx+fQKwYdzov6H8HLhWhGENiBH0HarYFJMhONl0NjKSlEH+vEtZK/KyS3wkMHyTSOwMxFGLIrOunLOsj43jDMCTSkJBqwk4QCVSOpyPH4VvwtTPnxzPn8yOX84VlWTzyo5twT3Meu+iTIi6o1dzUvg46g6blprYpt9lPCI5pe2KGRbF8JgiIA0fcJtM3Ij+0nilmZ1hx6GRjt9PeBoaUSCnZOWORn2GqTMcMkpG4WvRQvo2En4H8DauRVs6gFwiL5ZpFRWJFPCocB/VyHpWUIFJIspJCIUlm8MhPi/rIuPLtx0x+VbwobRNp8TmrsVtq3eWLmcBB9rzI6uuKsUSkT3KbHdmMuS848fnjTz3n50/10Rpgd9W2PoglNrc3ZWeECPQiniLwhJZmtVFaq7oRsbezd4v/HvS0YpxNxtfUxtyz2JPwa39uE14P6fuBVNTrEFRyEU8GM69sVddG3+X9ZNc+751KtwHXPBUpWOX00LjEwdqgVgNFjhBRbYpudHAjsqmVdCC08eKaVcdTH/DO/rt672rzdu3AZpe/cfW8B0h7z/p+pd9/74kRvAc+b0Z9bAs7wNX71ZWd2SBpN0W65z9ESOp8aJFODUGDe4h8QXWgoSpIpkukqef9mHTrtijuz6dFNnKGNRsIGhYhJWFdTdJTsIhKjB6NooXWAyEqkjwCVARZpHtBtQq+5np9tAZXTDK2qrO+m4a688gDYpLYLijQb7I3rF03Zki6B6xhbdEGJJwu1JGk90f/e29Lt89lZ5xsc8DbDce2v5YTvhmp119pz/2W7/pW7wrSDHw7evXxYfNGSzc1D90Vda391vffwY+0YrL+XdmOd3Vau/HWaHANgHdQ4qbaGwIuDoS2aBqd/gY+n5mzvItm1StvWnu9tdjTVhaevuE7ctngGJUhCUMKjGNiGkemw8jxNHFzOnBzOnI6HjgeJ9sOI2kYaInqNlBmyvLA559+xkcffcQf/P43efX6c44n4XCAwxEOx0SQSJ2siF45Wj2QFDKihbJk8ppZ57Ub7lnMyCxFIVckFFSUogXRsoGfkBjDQErRatcMLifsBlFbmKtaYv/58czD/SOv7h94+eqel68fOD8unC9Oe6vau5ju71FPMOvm0a7ddX9j2eqs7Zt+6wN/1GMaJ549ew5ADIExRQc+kcGjWilIL74ZRKhiinCmVFcoZbEtr6w5syyzV2KvzKuyZGVdnKWwqMlVV58bxG+xNte49gz5BmKMAuzG3/YD2kysbKDB5kubX5sTMldL9jc9q+YIiYgkRCzyIT4QTbo5mGE/2FwZh4BMQjoNDM8mphcD093IdByt7d1uoNq4H8aBcRiYhpFxHDiMB47HE8fDySI/44EYYv/NRst2h6gWavVkdSx63xgHBooqlIyUDCWTaov2ZLTnwi3oejEJ8izUVai6UqrN1yHbtYUhEcaRmEbiOBBSImoiaCQQCDWRYjIQN44Mo9GqQkqEGIwe6rS4FvkJ1QqWRp8AJa/AH5LXyLKauakJ9FCQn66E/waiSj2J1Ujy9bCqEsW3YFLQ8buV4euFuCgxV17lwuE7geFlIv4/KvFQiSEbDS5/jUv+88x5Yi1GsQu44AHKzW1kOJ35+uMj58dHHs8XLpczeVmoJRsY6Uq31zXmikttVnUVSZ976c9mXzUA1B1+feT22de+szfe3c6Rlgvhb7cFsgMf8HyfaON1HCzy4/dqHAdzNKXEwaNXaVCmqaCsIInATJDPiOEb1Pgtan6klAsqZ2BBkiJJCUNFks/jgzmyUrJcoyiZQTJDKCTs9fGwcJwWOCz81rgwf3dheTQmUy7amTsbq0U958fzflqh+1K89pODH9mES/Z2X3/83wn8tEhBexgtS7vRDpvHtX+nG/fmrdBgMUQJ7q0oHoJsxlQzSK77J7CL4riHyqhWDfRwVbcml2o65XmX2NV+W5shbpGX6kW18irkWFiiiRSo18Ixuluj2eGdwwzcECGlZElvg03E4zCakSVNHcSuoi22vXaJG1iht9/bIz+2NSpO/4A2rFuko98n/+8K9Oj2et++7L9ztdhz/YXdH1dRnL4oXmOj77cLeePdN0eWDO5BR0hFUKsoSiiVoei+7inRPY+qQugJvFtkjN356i7Hp51wA9ybqJy0NJ6uXSSKSfWuyjKb96gWU5BLg3srA0aFKAUtBZWMqiV1LwvMi1VcnucWbRKfjLZ7HGpAgvG/EUtEleDF9IKF5muBGoQSDQjKrvlaJNU4yk6ndIZhduAYohKT7cciOvRtn2tmhftMtStWl/ZWYRChKER3GtRGo9vfxWY/cZ1DFYI71/Zpb8323AEYaF1ct0hN2O3DvxtwA5gdE+IKNO2GC/b7a1rdBnDeVly4Rarf7MVvPpr53OmC/ncnQYl0wKMOxjSoe0h9/HVjU5yOs+2799Oro+7GbOu//s9oIMHuoYNYc060xc/pDkvmImeGrMRxIaR7tAqffPxtPvrWt/n4ux/z6Wef8fj4GtVEiAPTZJScFAIlWLHKGislVpZpZRwz42gy1jFVYjLqjEUT/WrVZeRLhWDRimXJzLLwKAasuoLZGEjjYGM/VzRklNVFR1YezjOP55nH86VvlzmzrKvN3+4coM2paiImrcaPSKVUa/N2u4PUPifu+8geEH+ZxzgcuL15x/dt4HTwHILka05ooh4O+FUVKcUosU4TMwotXeUr95we6ykSouWUpLrr/Gp1bsTmMaO44VEXp2NF1yLTCkE3QYOiNhc5g4Lg8o2iRo1r49dCBrTBLAhDGKzuThwJMRGHkTRE0nEgngbSbSLeJMLRc2HGQJwCw2FgOk6Mp4HDODKNqYsmqDM3RC3xfIwDY7KE8zEOHIYD0zAxpoFpHG3u7A4+NwDVC7jWamCnC2Ls17PqVPHijtfNY6U0mXErcFnymbK6bPxyZl1Xlmx5WctqstCSEjGNpDQR0kiMI4FEkkSQRMCodWmYGIbBaW+jzUkh7Gr+ieNTi0KbI8DOOa5WnzENM+N4ttchE8KKhIyGQklK+YqyfijkizEZagmkqNRUUae6yXtKWYHft5X0BUoRZRGrUWX17pRpmjmVe1b9GoSfJg3PXFXNIhkR5cXz73D69GMeXz8wn8+UdXGqm+WlphQYx2iOSrGoUWhS6sXU16RKF0nas2IMNAW6H68xTnwNast9y21ta4oqpvYajGLWdizBonaoR+WDWE2yYNHY5FGeYRgYxsR0HDjcDhxvR57fDNz+SOR1DeTFFHCphSArMcIwKCK/DWmh1jO1XKDMKAsy0AGQJCsCb/ODrb1DFIaQGWVljJlBVsaQOUwL4bDwtSnz+bcL6x8UlqzdWd9y1U3BrXhej251zzwqXt1R3OTqbQbanB9h5yTiyuL8Yo8fbPBTbcEE73g++feFoX3xDfAjiFi+i/EoK61miyItpeH6WM1gks3Y7oCnbAlbDfS0HI0W9ek3O9fd+5uKTaP6NPGGKkKOwrIKKRQzppzek69U3loo36veRyFGS3Ybk3mgpnEkBPOSocUnUV8S3DCzgq/K3tAyg2UPGLn6nP3WAc+uo+qu8XZtuLXpjqK0b+P2vWuksDNGG/x8S5946gnQDQhd/UKf/H39wRufhUF6HhQ1WF2eogwanZpBp62JG+6oUbJa1Kc2jyQbFW9L5t0QoamuGQ0kuLHaPEhNHQb1SONSmbE6B6VExhpRNUnZECOhFopkJK9UDdSQrbjYXJln5XxR5ovS+U8qoJ7gKdHUhjSatxSBUA30eOhC4yZ3GSK2SGkDQB7VEUWieaosVG+tG6PlCcckXdK80dStgFqjh7VopfdztVynKEJCIASiGwhWf8OJCN63KtuiY161LefMc6Nd3lb6gtRjQ63PdeCyRay8M2JqRBsVMmDGwJVgGtt+rt/hqv/Dm4atUVw2EGTf1avn9ropVbZDCHZdvcA7cgXG9h2r+vva8g22VvB12I3Wp0OlH0uvpL8bMGpR6CimUmWOE+lg3yTtrUZHXjPzsrKsD+aB1FcogXUtfOfj7/Ltjz7iOx9/xCcff8y8nInxxHg4ohpt3hsisSg1+paU5RKdiiGMAwypsiYlrtkoY9LmIo/OS0WlsAJzzCQWggaPVtr8GsfEcCiMpSC5mM+9CsHXo4fHmXunvdl2cTDlUZDawM9GhbQFyYqfSjEAVLX2Fq9ey6VbW3vkrI2ufZ2vtb160zQYhgN3twZ+xAVbUhOniNCLZ7ccFI/41FBBDOy1KEupSsnaa3hYknKj+/pakoLnERiYsTwpC2kbJcvHgNhvSNF8a9W+G8QdRVJt4hBzFuJKk9b/2XJNW//W1j+FFA5Mw4FhMFplPE0MzyfGDw6M7xw4Pj+QDgNpDMQhWF7XEBhTYhoHpiExpcSY4uYA2NyAxBBJEq2+UQgmmJGchhQT42ARJ+1rRKNm24JQtFH5NvdNZxsI/r71Ae1cQCve2ShztS7k9UJeL6zLI3l5ZF1XDsXyKNZqalohDsQ0EeOBmEZCMvATJRr4EQNwMY7EaAZ2jMlVEpuxb/erna3lxm6zxDwb4BmWmeny6K1VEcnIUqk/VdDHyvq+sM6wXgLrEik5MKTKOCgkQZrk94cgX4HyOyCfeB5UqIRzId4qQ6ocJnfvxsow/gbH0+QRHFufYoBn4wPxv37O46vXzI9nyrKiJVvUKpgyayXRVGBsHbaVOLe77cquV6bQXhxq1yal2lhVlS7TbF15s0xM7KKBn+piF1bDqc3G5ogQU3dLDn7c3huGgelgUcnj7cg7z0b+zP8xcvmxxPIQybNQFtCSTQQhFoJkUhKoK6oXVGekzqjkXlpNEhAN/KQQXF3OosJjWDnEhSlmxriwxpXvDCvfjZnHb2eWP/D6PdnSN9airA5+Vu+PuTb72Nbk4sAHJwS2RUrYDW7aetnswi8LfX7AwU+rAwM2UfsLYPPOQvP50D/v6mViSZFcgZ9gqimq2yTajRPthpTqVnen1aVpdWX2IKi00HtTseiRoo02V4qdb3XwgYdM12gKl4vY9dVqhl2T0O55km7INHrT3hMwjiPTONj+62qLUkcXzRBSqyitdGnrlmQdejRoM/66K7D93YCPCOrcpk4b6x1zG+SbL4vtvf691sF33995urdP2l6v9/PWhxtZ18Cq7d8NtgauBLaQy7bXMLRcHgUNhAqpFcWsWFJuUWpWNLf6QtbHDAAEm+ja8d+S20MDDQobZ9hqAUSfNIO6L14VLVaOTGs1aoPLuom4F1wHas1m2RQDNVXElHHWzGWpnC+W5C1q0SLzyHudo2AACnUAJLhHy2gTJuwgBsKSEItSOo2yta0D+yRI8xgl60wlGssleuHUkr2EhVHWaYnJ+xpTQQxABQzwJDeiha3rCAZCrsQQ1FVjqo2vRisE8+C1CNCV5biz5MUX+a3IKVefaRWnaeum6LPrlA2UNBu3/fBtzvomxtJ+17boHLkm0Q/b2NgLt1RXKmonEqBHOGRncNOAXPB28+FXe1s2QClmaOl2b/sc643dgI8TO3d9uVG6PJJIaFO07beaEVeqUdRyLlahPS8m7rKYRPLj+cInn33Kdz/+mE8/+4RPPv2EWjPHI9zcJipHUkqMw4BGc0xVV3Ccp8A4CuOgDIMl68aQjeIkDe7ZwJRWhiAri2bjs6sQXWEwiCUWp2XksGZyKUiplm1RbQzUCo+XhcfLzMOj5f48nC+UrK5gRI+Y0JxM2HiyzG+TlZW6i46pJ0H7uGpqhRsjQWjczrdT397saMM4cLqznB9TAlUbW6HlWbfBUxygZKpTA+VJ5KfRvHPGrlHNgafB5xMJMFSrDybRrk8tB4XF57Os1icC9p1u15tboWIGYpUGHAtNcr6IIMX6bFckbB3UwX+QSIwTMR1I05F0e2L8yonDh0eOH9xwvDtyc3fgMA0WDYrBttRyoZJTAxuN3NfA3sd9DQ6h54i0pHQDQ0aZ3MBPWw+s71WUpC3/R/v8c5We6AuE9HvqjaS1P5e8ss4T6zKxxMQaB4Zx7d717HZIiEZ5C2EkxsH+donrECKBZMIKMRnVMzr4EeliPu382hLWJrne25LNWel3Z4aXj/0aJCj6oqI/a87fcgnkRVjmwHIO5BLQASsBMVoEMKpFyOpQCT9p9g+vHEz9nhJjQN4N1FEMSAyZ8TBzKoMzD8yAD0m5++aZb3700iI/DzN1mY1OqFZDTmMAGXwN2wxvaUn3GlBnI5Ti81unyW2Oqm1+bpaP2wxqBr7Rp/2eFqsH2HLQqFbnp0YD/jHY+hsJDkIiKQ2ej2dr/jgOTKfE8TTxoz8+UX88MV8GlouwzsEiZ1oJMhOiD/QAyIINxAVhhlDQKIYQvPZUFBgCNibEHCWHtDDFlWNcuE8Lv1UW5o+ypWV8K5NLtqjPWj3q6NEfzRb1UbOfW/Sn+txoJnizLb392TvNtC1SXHs7vvjjBxr8mOG5MwT2H25op5vMnb5VQzeqTK2nuhepmKGv7mGTDeg0I7z93ShvvahmjwA14MP1dxoAqhtos0R27VKr/cT93GOwyhbBjfCadioXeyAGtPBoVLxCskd/hoFpmECs00lRcnG6S2+3zRvcvLTIZnhuxgvdYBKaF3rz/uyn5A1ubvCkP+t23k8jPVeRoTdu6h/ZI/rxnm7f/7G3ePfbBrXCaJENsJweCDZBubVYcjUZ11AowZI2jUYmWBE+0+BpNZ3QLepD2RZC2GEvp821xbVFfiIurOZRwyKVNUCp0ShpMRo/u45ITSgRfLKuCssK81y5zHCelflSDUxIKygaiGrAR2uL/CSbI13NSkJBItQIJYoVMfToz9NoHsEjP8lylIbB+lCp5i0vVUnVymWsgS5OpQ5+mvHe1V69DVTMwGqGR6dmBov6lCIeYXVHsVgxwSaqEGqL1DiTphnzu+6ku7eao7O/3s3D4tS3gEVnW3De9iObwd/29z3madvv5lh4Snvbv19K+R79ue2s8c1b7Ykd6Onj1rbuQBeuP2sN0a/IUGMHcLpl5lw1mqs+BP8nhE010s39zXZzidNcyGthCSuPjxde31+4f3jk/v7M6/t7Xr56zWcvP+Plq5d8+vIzQlBubyMv1gOqSvRaF6hFDRkMlF6mwDTCOCnDWElDIqZEiNmcPD6/aq3mI8jVO4eykE2ZKJtxH0JgPEyk48ScC0uu1JCREomiSMjkohb1eZy5fzxz/3jm4fGM1kBxgQ6tjcJhoFAalSgaANOmEuq0N61WXb5J7LdIlZti1vJfaq6EYRo5ueABHlmRQFep0k6ZzSZ0kIUQC4hVfUG3aHaju1mRQjWBlCAQPJdGxIuiGoAJQcm1IEuhVRWuTXY/Sq9uL6PNjWFVWO26Q64m35/NU+ImJZ3O0Adp8CncJhXBohhpnEh3N4xfueX4Y3fcvn/D7Tu33N4deXE6MI2DFcqMltcVOwgyhbPk4KcZu61Hd/Dja3HwCGeIoUc8LQG9RfB2c2WP+DRgq92R0//zttsFXLAwtgMf4w1T1pXlPLCeB1KMzDFRSjZxJPBikRAc8Ng22BaSAaAQ++uYoo2XZOMGkT7vNbY2sJ0vO3vUwc+wXphmtw8S1IQplxaoq5BX9ciPMJ8jeY0wZYLVjCChlGRHEkAG0J/GitWiyG9B/N1C+D1BpJB+aGW4j5x+OFBCgu8q8eOK5EKoML468/uffs7j63uW85myrmgtlrcbzE6MYqqBom1ytAtTqjv9wi6H2h3Hu8hPd7D2KJ1cOc9rI0d3AGziQeacV6N9Bp8/vQZWxMqVpBjMzouB5JTEcUyMh8R0HLl5PqLvTpwfBuZLZDlH1hnKapTgEJUQrKi7JEVkQUJGWJG4WL+KgiahJnsOQRholDt7Pkom5JXffJx5+fWZ1+tCuRRffwtVze5cHPiUUqwAdItClsKqXsRU1SOfZpOaZd+J/myrf+dXsLfRvhz0+f8D8NNZAGwey/aZv9qMGFEzKIOaRwp1NL95hlE2iWFvV3VJzf3C09SlWkSnUd+2Wj9sym+tc+9OSfaATLZzbJ/Ddh61VIobf1deFZ8BQ2xVsyM1BQ6HkcM0uUypPataMFFrtiOXffRl7wluE/kWHcMNsg0E7WbfbjFeb9vVunrdHvC0bQd6+j3T7/H+k8fOlrx69b0eX9IuePN4UZDkxqcbdKavFhEVcihk8s5eVHdKSG8nVRcg0GZIa1/XtoDJDnC2E9etuUP/7o4rTuvflbxCyQEtEeqA1rAB+GresrIqZS2UVSgr5NW8XeJ1JZoqTqt8KV2/ZnMatOhpdEpaew5NMbw7CvBFW7aibMl/U7c6P7VCbpHOXRqZUf9cJa+fxSYukcTGZdu/OF9aEXLWXa4anp2q5rVsVFNpbccTg9/P230rRv9UdrezRyubOqTRZe3mNmU83d2/p6zkp/16vz9gNwavKW9fuu/uDDRgU81zdKT7Pug5P+p1jGpbnHtupbx9QNoVXD314+GA1e+hFhzorCzzyjwu5riJpmSlwPl84d7FAl69es3nL+95eLzn/v6e88WMFRk2iBn89yklM1D8xmoVhqF4vkL0batbYmqI3rbBFlb1a6hqhaYDhaCZqpDSwHFemZaFecnMayZXQLLLjQvrWjrd7eE883iZOc8LaAMNNle7NwF6DoUpUSG4dtQW9akEp6DZvN2LN/fEgS//CCkxHA79tgYsJzS08LNmaijmNEFcMn5AgiVMa5chH0AKKgUIqESP7njkWJKrN25zgs0LGdXVvLxZCCvWDikQxujzkTuMVqXOThHLlbBmylrRbHVrKEqlEHxdC1XRELwNo+UDkkhpIt3cMH5wx+lHn3H6yh13L048f37Ds9OBZ8cD4zhYZCd6PZsYnLJrUaDggKiBHzyaGXbrpkjcZqvd3NUnGl8MbY5vRF1/T42ivjlCdmuwtLlIthxnLJcTtZo5dV1s3tjNNznnnmsyeN9uoEdiEzEYOugJ0alvHvEJyZTfJA02L3g0PdAEoqRf2l6VMrpzOpaFIUtfE2vYws2Khd21mNR5F2nwPNIU1IJawRkzgjm9BrGLEVtXyaALBM2krxWGKujvG3CRXAmrUVTjWvno4cx3X95zfnhknWcXOfCIuQPXKgY4VKWjPK2b+Me2Zkjvqy0fKoj9xsDO3pC5tpN67rlAc5Lto0jtfkefP1O0bYyBIZgoiQAtN0aCKfC9eC/y7Fnk9ctEniN5tshaWUGGiqRCSplhLMShuCOoIFKQaA6JGgIlCDUGqp+PaeM0JxZIhvNnyuOsXO6N9lrcRi7FHL3FhcByMaXipYt2GRCqu6CARZJ3UUX21uS11WedbWc4f8nl8Qca/FjV5divOcAGfnbf0x31wnTXd0ZcFNtHs5Lavv21+oE2zGnvh9BNTvtcmkyzh2d3N7N0EGPG53UR1E2it0UEGjAYB2EYAsMYXXpUrsCPGW3BJrEwEOOIhJHDOHA6TpwOAzfHicOYWMtCLSsrUIsZHg3ssBvIDQRtk9ibwKcP0N3fbwVBqk/W5T3FaxcdYO/NfHNrv/uyns0/zsOnpJ3h5v1AdsZrAzMtCVLFKG0myWdUjqhX7ep2pokaBRu0MVrIXLNNqjVYZKIWIYfW/zaZ72afJTbArg626bz8JpXaokrNUo+04R6KFZlLWhjEkpdj2DycRs8IpCFYjZYEIapHSDfjC3GqmJpBnTwS1Gs04cn/HsFqm0VebZ9dAlQMrCyDSXgvScgJO/92DKcetYVdxULxW5/cxE6qbkAxuo3c+l5Ft+KnNO8t3RmwjQW7abLdcp8/ts6yn28rdu1Szb5tdapot2fX57/fo9HbYEeh8IHfHAlv77sdovrztc/sf+WxtZHttLNCd4+nx5Juwm8Gm6Ks68p8PvP6VSKFSs4rp3X1eRIOCuu6FRpMaWSaDjaGUuRwmri5PZEG4d13n3N3d8dhnIwuuHOabHfYwYUYVcmoXbalBppiMnqUCBIDSCGKEp7QfEo1xc3zkpnOMzENiJjalbqS0bJmPvv8Ja/vH3g8X5jnTM4txqh9wRZ3XDahxO93j0Iwg9OMZevriN1rM5XrlrP2hSdKo/bY/W0o3Teu5+f+ShLIiIRsHuRUiTWRxshQElONaCoUMZXRHKLL5DeKngNghXWwGizLtJCOmXyTzfCMgTBEQrL7VrPXBtpt5ZIpSzEv8xqRrMhSkQzitXNCFaoGogaKBpTIcDwxvnfL4ceecfrKM569e8uzmyO3xwPHaWKcLLnfbAsb8C3CrJgYSwCyKp1q31cG8TknOIi0vK0+fnt/pEd+UPoat62XDoZ2jsZrWpU7mtQcp1drlpjqTIiRkBIpDtQ0IZJ6DpZFbISQhqtN0mCzhkTP64kgkRIC1UG7eF5WUd1qGireb9p6t0WG59WdE00y2TqbFTh9DfU7oC8CMoqF/YdITREpMMRKCtXomKH2OVi8fZsE/tVDbC2WCqEolIJUJS6m9hjmzO8tmY8fzjzOF9a8UmrZ2rqZgQ1QqVLLJlRkdkhbkPxaQuiOvRA3FUj1dIgqzgChLR7WxogXn/dcnyi7a8TWkGZ3tWiPbfbaRFEK87qgKA9n4TwnLuvAJ59X3v/cihU3U7UWoZRASBb9GabKdCgMx2wmQhOxEnNAZbX7rlkoBItWqxAJZF/LGROnDyI/GSK/myLhD6KVYamFLIVcss1NzpBaV7jMhXkupgK5WvBAvbZhbYto5wXbnG6U8uo9vc1R9IAA7NblL/j4wQY/HkZuj6aeww4rwmY0bwnEu7yfFp4WB0BcK5UZuJQuRb194hSB5nmULcKjDb2213UzVJvyx77Wzz461D19Dn7GITAOkTGZ92kP7hQIITKOE8NwYBiPDMOBaRw5jonDmDhOVul8npWyRmYFzYW8rJun37mfrW7EtbG3gaMtItQA0ROzqp2bG+pPAZD6hw3c0QBOpV/3lUT1k7/397IdTKB7ea/uutIQCx1R+vlc9aHd+Xcv2+5a2nOTNbYFznObgtMp1K3tGAxwRK814VxzzCFK9IZtoW2bjCxHxGrRiSVO563WSgPJ6ufa+q0ou8rH1fjPjfvtxFmtTvgU4w+3vhxqJdZC0syAXYcBH/OMx2jc9DCYsEAXMggeLWz3DJ+PMCWvGK1AYnXxpVo2I7nR9xoAiljzxQGTTE1KzpaQviTLC1qTR7FyoOZgXkFPbpYGJoO4WMEetLB9LtJPQj1Xx2u3tVzWJ7PF1vel72sDSO1zWu2Nbo26TWspG3acnjKhWxfcYxfp7pPeZW2hi/3zfbRHdRet1afyIrv+uj9R3fr4dr64p/l7PfTJ87bvtifxc+jtodtvt6FjC1W7F8H7fl4Wzo+BISqUhbxmcs5u1Js3NK9WDTx4wvjxcGQYE4fjRK435LKQhsA77x65uzsxTZOpaAEb97sZhH4v3aANYoZKTIGQzFOahriBnxaFEbXorneGqkKuyrxm0rzyeJ4Rj1SVWna89pXPPnvFq9cPPDzOXJaVpVQDg07FaqtMk0VvBooZp1uDtvPvYhZic1iomPBA3T7rUVbvK/v7+1Y4JAFx8NPRmDTDuxGaHAiJQSwkgQxImFxdVL0+TGKoI5MmSJkigSyRJIEi2+AUB/MgrGNmnVbStLBOK+vRaIhWQ8YEAyQEq82UC3Ut1FwpayHPK+WcyedMuQTKopSLIqta/bLVc/mqUDWaipYk0t2R8cM7Tu/fcfvOLc+f3XJzmLg5TBwOI+M0klLcxBJ8qz5Ya5Pd3nkq9ywFo3YarS8EbT0Qrv7fr39c72B3v8zRsjkZt3yszYZpDh47roECCV6fJxWrz1MrIZqYk0qrKiMmcDAMfZM0oF7wFcRzjB244mUbOp2fHrGvukXRxScE8Tl3zt7VpCLB0HsQz7NdIfy2oneC/KygiymolpSgCEMspFiJoRiYDNqFb9jNi4jAC+B1s0gqQStSCpKNTvvZvPL788p8WVjmlYfHM4+XC/Ni4MfAjlDDZlBXz3lsILd2u6TQRGGa4zc0Glry6GAI1OB54MVq1agIwRZTxKmFMQpDxKhkdvk08LvlZpsDL0azV0163oBKLYVFzSEznoXHeeS8rJwvmZIr02R3W6vZG3kV0ihIhDRWplNhus1Aq3NlJQZKDWiOziIJ5DVSq8l8t3ElKugQ0SlymiI/+SORz1Pk259nls8zs65oDQQ1SmHJkNfKPBcuc2ZeCuu6FZluuW9t/WwjwWyOa1tz3wX6bB92feILPH7gwY+EzUvaDeErk3YPfujevy6dGzavoLVmuLbnW7s3I6JZc9Umnjboje/fjPid+eATRHu/K1CVegWAWqhwX/h0TMEiP07VSA5+fDlCMXWZwzRxOJw4HG6YDieT4kwGmKYhMkSBkpk9SqalUpa11zRAGiVlWz2FrYO1Ad7BT2vhnYW4tbhctfn+HnRnVwNA/po+qXBVxPQaCO32dd0J3majtbPwHzSLz6+vh5/tO9fDar/r7d3q146Dn54V7FzuBn6oFY2uclTplqGoejsbEPB8RmI2I7xF1gWb5DZVL65oBcEt2AiWv6Wg4pUgdh4TVTXQBVyFL6ogpRBqJBEY3SuedgDI6phEJEFImJMqmoWm7rWuHslo3uiuNpi8fyhXhPCev1QdAGFV5FOCNClptCjYkrx+QfLozywWrscm3tZGrS2aHLbJ40m/+aHdaqHXi1MHPM1gsCbWvlg7QbN7V+2aNtBw3Uf2UT2lefOr7o7XgK8D1d71WifV/tS6ot3/3Zxm3Vc98V39a9pfX9lobRy2a2sWFNduiq7MtBs4b5pe7bluxro3jvSvOOhrkYz+e6/ijUf43JwKAtRKXlcuZwhk1uXikr3q+QUDKSVW9wQaHS4xHYRJxq0PSiUNgdvbyM1NYpqSR37aWQRfD7xvytZnbOjuIp2ekC5BjAYnrrYkFsBt83qt5qxYciHOK3GYIQSr5bauzF5HaJ4XPn/5itevH3k4z1wWywMSquds+JyzCwTRjtPvqt9QZy20e2qgpuW6if9o61jiEaq9JPr3jgRFkHHX+cpu4NbeA9TBT+sPVhtnRIIZ1UEjSSNFE4NGNGaqBFIQsshm+EnsMsBBAutQWIaVmBaWYSEN2UBPjCZDHY06Vmol52yAuJgHfz3M5CkTDiv5QZDZEtnLrJTF8hhCNslkqSbZT0ikFyem9244Prvh7u6GZ6cTh2lwmvjAMI3EFDpdqfpK29bbbR3zyLpuzA3Uoj4xGHUwRPPoK1zJ/+/vSY8A9THXnGzeX6O4iAJIDWYEB3NIpRCobjCLt3Ffj2Oye5MKqRSPzth6pf4sw0AYRmT05zh6rSp6vmrzpWW1/MzGZGnU/ibghJtOoQEfN0SX3C6rEoItSMFVBB+r8vuqTK/hxz8N1JuEpsgaMyQHP56XYpGf6lEfu97Q8/UC9SvAHwpkIVCIuiJV+SgXPlkyL5eF+bKQ55n5vPDw+MDjZWZZLReK4IIJYevzBIxBIdv9N5p523w+dBuy5YONTo0sPm8WzOumQZzaa4VlTZU3MCZhDGLPqdk+xVMpbG4MrW2D1XxEGgitrKWStTLNwnk+clkzc3blup3pU6qQizlJGvgZU+b4P8oGjCWip4H8Y4msCcmBWiJ5SZQsUEBKsyOgDtEo9iVwqIGvvh+I7y1867dX9BObp5Zq16MZ1qymNruY5LqVftEeBOgGYBssam46aeI73T4Vd3gKrTTDl6WF/0CDHxy87KaNnQrJriF24Cc0yltoiW3uiQrbxLF53rZ9bDa29I+a0acivkDujtnO4ypq0ZQ+rFM3qWyL/FSnxRkgUlXTmo8GgEZPwOwD0+fMlAYOx5Hb05Gbmztubu6YhpEUmg672eR5nUkhGF2qmKJSSJHUrsEpI1eG1A79SDP6veM9pcDtLMGrdtsvu2a04X1adyBoR3Hb0M+20FxZjH+6j2Yqbv46ByHSABA2STj4McqkU2ViMMu3+F68KbptXjfDmGRop0bzNpXgkQi1Csp9gsMWmjb5NcpDU+DSYJOGmRiN9lagVM/TaCex5RuEYotD0kR1QyS1yXsIxMEAkA7qEqNA3BYBi2JughvgE7M5z12MQfqKL2o1eEINJhlcDbwN0RS4xqMyHozPPQ8miDDPkJKwBGEVYalYEVi3BM2osHFrxtm+z9mxO1gUW/fb2Cu1RXJ2ycNP+4FA8PvQd703YPZdPmw7kDZ3t74rDaBd76IbQbtjqgOxPe2tRXu6sbQTxniz717/28uk/6+OnH3ki3177Aw3O4692V73yI9HXZTKsqxQM3mBNGCKhEBIVkV+GEfrzW5MDsNIGCA5BTiN0V4PwjAqw6iMQ7VclX5O2xnZ1O4R/rDlcMRoUbaUIqkkl5fFAEq0/Vnk1lB8VeOtL7kgS4bzTKl4cc+F83lhWRYulwuvXz3w6vUDj+ezKdZlM9yC1i6yEB1nRHly2t/j3tp9sP4uIbhgh1EDq4qrEH4xaqXtK0IYff+KIXXjbaoWz89o6KyBoGRjK+BRHyGykjRSSSYPnIoLvJhHu+za3zzXxrLIuTDETEojy5BZxmwqaV44M7kyWvFq79nr1OR1JS6JdVwsN2gMyFyph4pcQC5QZ6WuASk279RiYebh/RsOL07cPjvx7ObE7eloEtbTaIUij6MZrrVQroQn9jQvU00zWqs7Lj0HK0glhtAjP9ENh75mvwF6GqC9XncFj/Dkti+xemhOr4pVqLEQ1fPWYieY+r1J6FCJZTDjWcGLqiES0Bg94jMh40SII8RhE2zyiLXpKLhKoVqNwVxdnbOakm2uNm+J6I6GbJPkmu0ijfZm11m08D9r5bOiLLVSVyV/Fvjx28Q0RHIaoARSLAyxWJu2PtdzO/ek3mAyZF8F/qc5cYMKf1jgm7myrCuXeWW+XJgfL8xnk6B/vMwsTnuj2zTNWMRBXHUnojEstFZ3RrrjJ9gcG31OGZIwJqtrldE+F6MWQRuiuHDEYOpsQ2Ia4RQjhyEwDgK1UKpRZWvJlFpoBVeb06RWmNXGw5wrS87cPwoP84V5OTJnm7NiUJ9nhJoDOQcKgkSjvY1fL9x/M0OIvGOFkqhxQtaR5cdM6k3XQJkT6yroCmRBs0UB85goOVFzpJRErYkfPSbCT89845WQVxAqWlYr0L4ol0vhcsmsS2VZTSyqBQgMeOuO9uZtX5tIl4+poGZ/4d1g//wFHz/Q4MdyE/aXIGwFkd7+sEiP7AxJ59TvqHAbgnyyn2bMXGtPom8Jye3Dst0YYjPma4luiNmA6lGgPsFWhiuZzeBSy07Bc0Q8DiM3xyO3Nzfc3d1ye/uMMQ0ED/0GTAWmJahZTkqlFuO51litRsn+JGkTGB3wdKd6i6xdWUJvb+9mFz0FbH3TN7eKg8Pde9tp/e8DQU8fxT1A0gZedQqLVoIGiioFWyAydC3/sDOwCT4+3Z7oGLuFeautT7IzpvUt24a8G6Bv4Mi8Yy33p9ZMJPaDWx+IVIkMwWr4hJisQKgr+URXNAqDUJN6hmNFo/VJ8ZNt1Mz2CN7ng1hkq/iC3ibelrM2xPYaxqSMI0wDjKOpvrULV5ew7FhuwYuotqRvbx/tTeh95+19qzW2uDEcBQOwqCeSW7uax9bqnAQ3kIPfpw7EO6bUvvZ2cPPkuLFiUqGe/6PfZ4LuQgf78H3LGdp5mvf5AleP/YXvOxB8nyFzvRPbdd17e7bf7gDe01+2qLE0g6C2CF5iGqy443EamQaX4w9KiuqRGJNpHcaRcTxwOByRkCzJn0BVczak0fMfh2h1WBJIWAiyIFIQWaA5WNp80yiIYvczpcg4RJYhktZETKUreol71E0Wt+UnOF2oGCWsKORcYF5RhFLMuJrnmfPFvMuXy4X7xzOPl4V5zazO/Rd3WrQcn02rzxd6qebhrA3EvA3F+Ny7/8wNzi9b5LRFs7Zba1EZUcUUyQTV4Ipulj+jGqi2uhgQotKqL5vRDZFgRSBhy8MVcfWwjc5mrvXmrLQck+gJ29FzsYRAiYUQcj8/BVvbaiUMlZALoYAOwaS0mzy2RKSY0yeUgIyT0d5OE9PBcmOncXT1v0hIXtcsSI/6VLUCyrluEY+i1WvtQa1en8T/TiFYraS2dWesz/kb4unP6uMniFODfZ4y54n6XOhNLXjNLpf3FitTYUO/TUYKzooRj6LZvuxzpUVILQoUPE+olbfoY0dszbO51STalwZ8SgM+sHr+p0ijdpuzAyzRHaB+VahfFVuafjfyQRbuszFgskKQ5FTT0OffGBtes3EZJFBrQjUhJXr/80VVAnoC+TOgDwG+qZzWzPMY+I642qqYg7EIlNZuISDRaK+pRKq4DeYTrAW1+urCjrPSWsqAn0d1UrT5KbgUeghiACQUNASGNBIGKyybhpHDmDhNkdsxcRojxzFQaybnlXXJlLIaJRhbf5sKcS6FJYNWKw9wmVfGS+ByWXk4rzyeF35fVv7iITNcKsnza6sGao3Umig6eDtENE6swwHSSP3JA2sYWNfEOgeWObBeIusilp9cBF1NNAitxFBZYyLFQhoKpWRzEFdjc+TV638t1cps+LZmr+3Xm9QV3JrtGcSB5nabFbpd2nM3fd18Qpj4Ix8/0OAnxMQ4eth+Hyv+niv9m/k+PYLRkwkbJ/t6xe9/S/tP+veaoMIe8OwfVyBAW06QFymttXdqSxLfDEubRL3adtzOm8ZDxwrVPX92x7O7Z9zdPefZ3QtiiNT1QskrZbUqurVkaqndQ7Ubz5ZsFqwuhoTNC9U6VjtWuGqDp63sk8ETXk//p7t22AGaK2Ox7Ua373Vb7s0D/m99rK76BFYPowTzkMVgMtHrarVz8mpqJporVhrUAYB74a8ezT51j4YpavqCE+yeqAeTuuCMsqsP4cA0CoPglZcVkUJlpdZgi4oEV/FxydkixJIodWDQSo2+8A+pJxrjcqRERVOlRrPetW4AaKPa0BgVNh6CLSw1CppAVCx/LQUL8w/COMI4VfPeJyVFSwwuvuilCDkqMWHbIKRixojNgLq1n8JaIXuR2ZZTp82D6RXnLZfS7kMK7qmsUINSAz33Lu4WX6Mg0sdnz81zUIuo1yXxc9nnQjnIRbFicd5We9SgbCAj9HG1c5ywAZ69xHEvylld0U5tcTT1Su3Gm6gYKP5eg6fqlqfkA1+lGeO8dcw1B4Aqewvez8Ml04MwDpHjYeLm5sDd7ZG7uyOHKRGjMnjNp5TgxTsveO+D93j/K1/hvQ/e59333iWk0Xjx0arsSYiWMxDr5pGVQq1nar1Qy8VkoavJrLacN3WDlSCkYeBwUNaTGbNrMXGCuAqyNiPL1wLP+TEpATd8tKBgRTxlJZfCZQ4m4LAsXC6rR35mLpfVlOCKmrHpFFm7E+7d8L5UtZpVRuU6v6DB+jf7xZ/Eo1RlXYvvG6cVad+a17+6KEvNDgIssEyuYnLFDSC50pt1+dr74Ko2VhK+b4WoHrn1ucn6gnTQE72OSYfVTnmqWjdKlm60rL4VNqERERgs8V9lIBwODLcjwzQyuuc9RgMIVaxm0VrsXuRikZ/ravQWAcqlsmr1chaVtdLFjlJQhtjqoZhccqNpNadocyI2RoC6P60piLXvx+aUbSHsPTsFm/83EYMeZ/VaNI2SbeOmluptUyi1ULH6arEKVSLRihx4Hs8211nx3tpBX61Wk6vJEjenn3gyurpiWXUHcXG1t/VmYHk2AkL8f8It8H9+PRCK8G0VvvLOyFIHVh3QONg6NLAVxxZFiOT1QM4TOR/I5QUqJwgXJDwaNXuoHD68cIiB0zfgp0V5UJNcboa0BiGrcihwWAuHnJnWTEUomi3SWIBatkhPj0bUDlihYVJ3Grgc+jgYmKolUlJ12eeKhEgcJkI6EIeJIY2cDiPPjonnp5Fnx4GbQ6LklbzMXOaZvNicYmAnk8vKWgql2hir1RTU5nXlMgce7mdev7rw8vML3/yNB8afS/zkXeKwFIYzhBipCJcceTxP8GOZU1DKD028PA5oSZQ6sa6Ry+vA5bFyOSvzo5AzrZ6uB4kDmiyq2gG6KjFWXv625fU8nhceHi48Pi48XrLNi3NmWUxttjq1EoJHrh2EK1seff8HKnVTjG1S9G5YpfTl5scfaPCTUmSYWsKmrdTSwEnzouIGRvuG7CI8u0hPk44MsucP7shPbX876lebyLZjv63x9S3gZ9s68HHrvw8qdW66GxJBGhhp+UlmyE7TkbubG+5ub3l+d8ezZ88JwHwW5otS82w86eJSkm1W64mbTyhnVY0KLo1rvG+HJwuwbNfY/tjnEcBGbWvf6tzZ5tny+9OAUN210/UvmpG4ceC3Q10fYe+Z2Z/mVodA+g1pFKkNuDZxi+s951IQNUOhhm2Lrt6S102+cc2mXjJ46N8WsutzsEUKWr5IfbI14NOSJRSvRaNbbpBiBmf0HKKUcG50AV298KYSiCYuEG1BjUMg1kitRnOowVZqGYJX0zbQUqNaxCdaDgS+iPTpqOI5DMZDlkbJC4IG6QJzgcZn3sDPMMAwQhrMEE4uyWaAw/jypjInxKSkwYyw5IOpGwniHPVshlb2sWSRVKv3Ujx61OeBNqZgkwwOmwHTQE/02kQijV/dqC+9KzpYaDdEt/SysAGgBoLcJLE+prv+5T9qZUnCbiyZSewAqJrnsV5FgGwsqwM0+55HKff9vJ/wbmz4uTdZ/208tt9u5+C+nt3od5qNaL/+5q0zWdbAMCQO08jpeOT29obnz+84HpLVekqW15WS8M577/Deex/wwftf4f0PPuC9998njhMxDQaC0mAIWFdUV0rNVF3IdWZdIssqrGtFl5Xis0tVdYPP2klESCkwTSP5FFhKYc6Z4eIFK2VzjIUQCKndH6PEqINkVci1wlx7/tu6rizLasIGbqxc5pV1Nd6+BeJcinYXCcDnO5NlLhQNHlXzu6CeUOf3o3ude995Qg3e/BFXkaPNdNg/LFdjWcw4tRo/akDZc1ZMVppWPsacCrkBH6/TpRsAUp+wLFphlDyjcatHRw34NJEHHPwI0da5KA6EYi8SilgUUVoh8r2xX/dbcOfeFi3WGJAUkXFA0kS8OZAORm9LHumWlJBgsRaj65rPvzjgWYsDoKqsbvgvtfrrjfrVBI1SDNYmURhQhqDet1qpxo0O3cdMg8PN4+3fa8n9e5ule1BEXUFvB3x29387gEfZHKjlbNe0FiVpYCAypAyhEEL0nB6nLiu7NNJG99Pda7u/pUV+VLe6az6nZQc/eUkss1MsxSTtw09EgkTelchljaxrIDuAliRNuM5z9CKqibwemOcbLpc/x/lyS+VESDOSHkw4J1Zy+W3Ke5ZacPxG5ofKyuwgRt3JuFYYc2VcV4Y1My2ZWpWlU9yK9+EdpdzD8G+IMHlzxyAunpKYxtTXk5bHLSER00QcrNBuGEbuThPPb0fevTnyzu3E89NAXheW+cL58cwyX7jMkXldOc/CvIAuarlUajlXORuYOF9WHs4LDw8Lr17OfP7JhY/+64H3f/bAdCikUSEGiibWrDxejN2xfFWoOVEfBnSN1DywLmY/LpfCMhfms91n8bqFgliJqV5f18agOduUslaWNds5Pa6cH1cu59WU3lzooGarlVR1UzQNvkiq9z0jIFTXrrK70SnLydVo3biKDQV9wccPNPiJKTJqS9jcgZ8r4MIOpGyTSddRD86O76+3SWbPnzdKj7/f9tEB0Aa6umHeHxsNo0c3MI8t7FQuujW7My92c53Rp5qsotdQCIFpOvH87pZnd3e8eP6MF8+fU0vlwXmW60WopVBz9jyjutFnnLPcvaR+grJvp36t8Mb6ubvWNhE0L/mVmdUmHd3e20DPvvDXUwC0bV2MAbq625d9iO+lu9uknfjW5t14ffLbNRfEqRclKFG8WJjXc8i5duCzZg8z7CiD7XrfDo/pFAMNlRqqR3y0R3061dL4C2Yk29rW84Aa+DHex9onXSSZZLDLZJrhYIuJAhoj6oXMNIKmgMZKiVCjqfTUWKi1INWpdW5kGwBRz6PwSEnFc5rEa6WJ5/cExhQYo5AGSBOEUUlDJUZrhxSV7IuegQ+TGo2DR2kwQ20z1nxxXgz4UBotpXmthdI8VtLUkkIHam1xt0XK2tcm1raYmaFh9JZWnLjSGHralOQcPHT7tHUx9XmkDfHWdXUDQO3RK8ZvE1fvID3So5gDo4Gaau2wfac5HCoNamnf6WYM7zt5Azzdu9aOvnMwbL6BbS7YA0DLsQrurDGVr2FIHA4TNzcn7u7ueOfFc07H0URcfEtJePf993j/gw/48MMPee/Dr3Dz3gfIeIIwgYwII8a/XFAuwAX0kVoeuVwi8aIgmZIvlFysfzdqTvboGMKQEnWCWiNLLlyWlWF08BO3vtHquNj8bPeqOpuoOZJyNl5+ddrbuqxcVqOqLOvKslbWtZBLkwJ2T4ZsilsBB7bVGlR6JLXdgU2xrd+zPg3o1fP1fW33eXv/TfBjqpLLxSM/AWKsm/RusPOyIpQGlFrkJ1fIDnp65AfpdDiax1a3pHjzL9l+W1CxdaAQoitAqkV+wnWkugT13MqC+rGs7p7T8YoXy8xixaWLGWMkd+pME+Ewke4mhsPIOAwMKXnRUuM5Kp7axZbb1cDPWgzsLP7e4lsTKsq1BQSUpFb0uThdriZzfCWxZ6PbtnUVz19xGg90+6MZgrKzL/a1ZZo8S19Ttb1nbdqiahIClu9p6/2aK5cls6yFQQOFaI4FpyQ2wYPtmU7FL55g30GPKtkjKs2EoZ1j62MN/KyJ5dJYOgPICCEhMqAMnRZcqWhTF40QkjuAI5Rs4Od8/mnuX7/L64eX1PpAGEbiaMp1MSXW8tOU+pvwodElv/I7C0HgfwpWuDMGVolMpTCtmWkpTPNKKRVWs7q1bI6UNrGLW+R7R0N3KomzdFJkGBPTOGyN0FR0ZXDgMxGGA5JGnt0deefZkfef3fDBsyM/fDdxv8xczo88vn7gcnng8THwOC+2tmLFgcNi47q0yM+SkQs8PC68en3h88/PHG8Gbk8Xfv+HT/zZdwvDCBIDRQeWNcJ5YCUQloTmSF2fUXNEl0DJsFxekpeFdbF5Tat2513w/ln30SBf6z4S5XUpzHPmfF55eFx4eFw4n02Fbp6N9qY1OnUOmgugKRy22c/dfZ5vLKhUY0K5EzUmoz+DOSq/zOMHHvwktsjPVQJ+NzSlLxhtEtlHfbiaYN4CfPafhbBNSL3+hufFNNAE7BettiRpM1a6V68Bgkahaee8IR7ZufJEjTIQnQoSYiJK4HA4cXd7y7MGgJ49Z11X6nphmZN5rUv2yrpNquewUgABAABJREFUT103yps59M3D36NAdgqmXR82tCLb834ptbd2i7FI9ya3EHHflDeMxGZI9XV8N7HsP++38xqv/G955BY+wKSis1hF9+DeyJyN12qFvMxKb0XPariOJrXr6M+uZNKjPh0IbQDoimnmxgTJI4JRnRrZaG9e0M6L89q9TMRYGbwIJNXrY6kBnRot0lOjUpJFQiSat7vECsFMmy6B6ydjjhrpntuUbBE3aevQ5aabqs0Q7TklCAOEoXohQVtqSuNIRzUAlCxyExOkav0qBMXV2Qme/LkqhAyEnYeyiifummG096SawAMGQnYACHWanbdna65S/L473bE0r7w0wQV2of8N/AR6bVXz+od2nC3y2Tp3cDZUjzLTcm1th1WBuqsCv59DqoGdKk59wwyJRp/Z06f2o7cbqQEHTO0b5lHfaifsvGpugIlf3B4s9UK2ITAMkcM0cjwdubu75fmz59zcHBjH6PXLLBL4/nvv8f77H/D+Bx9y8/6HyOFD4IQrbbAf7MIKzCCvCGngeFSElZwvLCEBa/e2llwpOVPV5vuUIkwCMnBZMuN5MK5/8nobXsgyuuHdLlvVDVT1iIADnmVeDPisC+taLL8nZ9Y1O/BScos4hi03tKVBt7FcBfdy6pYj488NtGwOtj+5Ry6mugR2L1NUl9Q1o5OyRX7as0U7ZKO91WYoW60jJDrA94LK6uBH6NLv6m3a7UaPbIA6jcXEEaLT3prSVwMpG+VNuod4T3drz4IgKRIOiXg7km5HhsNgBW9jsuKdMe2cbwbycvV53CM8azHgM5fyJvhxgYAWDR48ClPVlK4oJmDTo7vNiRqkqwtaFFo2p2MDO92m2Dt195CWLfLT5hNtlk+bTCynBa8Jk3NhWTLnJVvtlmDCBzIUJNUOaItqFx3pIg9O0W+0tx5l1w1am82yddTqiaF5Tawe+VFGlAM1jFQmVCan5hZEMhIyKVRXGd0Yf5VEyc+Yz7c8vH7Jy88/oWi1KPE4EKeJOI5UDiAvGIaF9EML47cHPgQ+wgp2arAI07SuTPPKOGemy2KOEqwQfF0DQa1YblBFWqfSbs21qzVsE0x4IqXImCLTmMzZ1miPIoQ4Iung0Z8Dkibu7k68eH7D++/c8VPv3PBTz468vJz57sPAp0Pg8ijcJ0iPRvksOXNZl+5k1rrJ6zMrj48LD69nXr28cDolXt0def0/V8b3C2kECZHCSC0j5XLgUn4I0gFdhLr+EJqFuhTKGinrt6j565S1UlYTpWnVVqrns9UhmPNhx8vPr5T5bIDs8WLg53xZOV9WljmzLJllsRpwW40zHw8qDVqhmNO/Uq4cc01YIqVAGoQ0WH9rEaAv+viBBj/WoSzLqU0c7CIV3c8usvt8M4Cebm8AoR0YaVXWm1Lc/nct4WpvtDyFB81L06yjvb+un6MIIi0PqXn1rg3NlAZSHIjJpBIPhxtuTzfc+HY8nohh5jxOpGgF+LTLV7qYQnF5ylBNArRWpPjCr9Ypkoh7q6xNuzexgR9tZ7/FZK5of7K/uh2q2b16GmXZPFjXQGkfVboCYbvj/JGP3W+ufr7/4/s8NlBoi3qQutHoVNzQsUXTwsONGmuc6NIS7lU8D8SVb8qOTtW2/Sm5kXnl4VN1o9aNihapiOK1NyohZPe0Ro8W1k4nkyrmFa0CKaJiqnF4ZecOvJqRK5Ugpn5lwEOpvqA3gDAkfx58sepLsC3uY8QFD2BMYh69BOI1fiRasqN5/GTngTZjTF00AJWeTCwOlEqFocCQIWWrHRSbAVTUjRGFahSaLjzgYGUzOuxhi615alu0d7P9qxn46vSevpuNBrF702TPk5gn2ik6G9i/9iIMQ9xuMrvx37rCDvTI0468ddQnA8bOTfTpQGlz0Oak6K/ZO4o2j3NTTbPdVtT5CUEVvNCfSfInk3wdR47Hg4ux3PHinRfc3Zm08HRIHA4D0zTw7nvv8c4H73P64EPk8AHwHC8H/JbH4J8VhALxzDCMpDQSZCCElRiMvom2ej0maT0kUzsaBmFZLfLzeJ6ZpplxHrzfOSUnBW8SN+ai55EhnlOGRwJLH/vbGJYdrau1tM3t+2jcfgprEZwqdJn2P1knz5s7KqVyvqyAAe8UG+0UYla0FjQXSjaJ6VoyZbVtzSbrXbKpUbVckqaStpTCWoop4ZXic5h08NS6eul5WS4YUKMniHuUFzHqWa4OZpWSDViWtZLnSjlXykWpF6UuoKuBoSgROYyk24nh9sB0e2Q6TIzDQEqWlC4h9DFT2Ysa7NTdKj26sSVn74CGtnXAG3b3rK3/0H0G3b5oObU9t5bNnhDa3CO7+ns7h+jOwfIGU6IdrZUCUYvKCg0cGpUvlEJaC2XN5GW13ChnlcTduQF9LhCxiPjQ8oCqgSAzbdSdQbs+1uijdaDWwZtloEpENXqOmBXqdZajU/zN+WWgL1Ab+NEjlRNZz2QH1iVb0n2QTNBASidiesE4fk6MI8NPTfA7wp8h8DUx2e6wFBe4aCCxw8ldBJ0+B/Si4Z48au0YupPRFHq3ccz+HoeNVqsuJV+KsTOyM3JQi2nXGPixGHhMkfshUZ1CN8x2TwQDPKV4/lUpTvG2KPeyeLTlYeb1y4H7Vwv3rxf+4Jsrz95dOZwyhWwR0VjQ8ArVH3VKa6asA2U2kYK63vZcv5rF2nhUxlQZXWHzdDtzd7Nwd3thvJkp5cLXf/ORlx+f+fz1hVevZ17fLzxcDABdLhb1ydlypbseXlPWpNGpd3a80CdDDZVxDIyTME2R4RA6+LmKtn2Bxw80+GkdzF7twM/utXnStu+1BH5puSxvA0LtN2wTkkDXlb/OE9p5bHbG//bKb1oDDb6q7Y9BNyr24Mcsm87rV0sIH9LI4MlyaRg5Hm44nW44HU8cpiPTeACFlEZiTEhIqHOaWwi7eLVdAmioEAOhKqlWoioJMzFGke4BbYnZ3wuo+N14evG7VngbwpAn39nZfu1YbQJ6CnzkLYf5XobC/re8+foLYJ++cil4crkleZq0sRigvPLK4wpJ7v3sqj3ay8KIOmfcKTo9od5P0eeA3arZzFVxikzzHjo9oHOkHQBFCKkQYjVKi4MfqufkeF5OrZUSKkWEQqHgkaPtjhgAcuBDBKz7WN7G4DS2QQ38tBw1HEREr+njW0xm3EgyYEcSAz3uYZfgSfxi+0rGG7FkeiyB3/PHDSRVNWA1CmMVRrYFWItc1W5oUYFaTWmmgdfW12zYtZttm+D1OjxiVNUkm3vER8TZyA13tN/5VK6R5s0Sl3vbvkfvgAefvLvCzZW1tXXj0A0Me6c7X1pfbQMztNhP2PXxpmRkj62OiZ9KxVgyDrp7XY0uFBO6zLi1mV25VFwpMJFSMu/nYeB4OnC6PXH37I7nz5/z4sUdp5sjNycTQjiejty984Lx+TtweA+rVvhHyfYEYAImhJEQzdETQyKFgZCgSrJIZq3U0Yr2FS+Wu2RhKbWDn/PlwryuNJqQ+HOteFKO0ds2R1ezBLdB2jy8IWDKTm4IiUcqLTLQBvI1N30/rdk9efqN/9XH2/YmrKVwnjfwE1vkJxgIomZqyVapvmRqKeS8kteVNS/kdSUvK0WLq53VK/CTi0fCckaCkBOkZJGUISaPJoDmzZBOKTIkj1IXKyMwZ/MWz6vRiksp5LWQL4X8WMkPlTJXAz4Zk+FVgRCJh4HhZmS6mzjdHTgeJ6YhkVzyuXm/tvVse90dI7TotjkEzcB32o+3nc3bQpJgTkNM1a/lOLV6UWHXAzaHgu3DbIwmMrQJJZiXzWwZ1do97DSHSzPW2UWTfdwjFZwy2I+uWP5gqUaFz5m6rtQ1ImmwPMeYkBjtmqKwDoGUK2kRr+3jka9SO7XtjfYDcrGxrETMshB3lGChwJCNDUolhuyOtoJ47plRnaBoJGtwNkREhgEZD0jOEBKFRK0RyXBZC2n+Uc6Xb5kddDPBTwm3X4MfroXfzbnbag3g5mxRsVqqU5tbRH3PiGlqvBhbRqvluoAxavy3xW2B4HEL3GZUreS8GpigUIgcovJ4EB4PAw+nRLwky+8pmZbz1xzzra6PnauxeezcareT1lWNbvaQuT8svH514eH1zMP9zA//xMzt7UxW6XR24kLl/2KpAyy3qH5ILh9Q10TNX7eSGe4sH0LlMKycTgu3NzOn08zds4Xbm4WXw8xHL1e+/fWZz777yKefP/Dp5w98/urM64eZ85x5PGcuS2ZdzYGhKBpsJbHaT9VzmhsF1Ci0pgAIiCmFHsbAeEwcj5HpFBlHm99GGWH+4rPiDzT4EZGd5d3AzOZZaRGUDmTeAC2757cBoA5/uNpfuPredS5QP7fdeWo7vf76GuT0v5txIU3NzUCPLaQm/DqOE+N0YBwOjOOB4/GG4/GGw+HENB0Zx4lalZQGo8f5Yt7T9ipdxUZE0FiRWr0GiyWUm7q79OhPq510tXVvT6eso1dXvTWE6q493rAd2mKytVYzVOmTqdISKLo3dFMO2FaoLRSzvbc77FMMtb83cnVO2/2i37fNCNV2Ue710SqeOK/GYW2JjmpUtlKVVaSLWrRFkUrnjbfk2Ua/2gOy5vkQXOte1ZOndcv5iZafEoOLBUT31MRESLWDoBANEKhzn2sJlKgUySbRLZXsNIoNEWDmrphxhAOXECziNCQc/HjkJ1xvMVjOT9oBoNDYTI6SpKMlthvh4McTSQjVjQqJtji60VDEQt9DNfAzNQpINa9VXjZQXb3tWx7INmQNfLVLbgCxGR6ChfkDlnhdPbHbCjh68jv779sFWP5LJIpX9JZwBbY6AALGyaZj7caELWzaMo/bBes+P8SPJ7L1X+8fWz/f96b9KN7eaSCoNfyWf2CRRZHoHlmL8JiAhEV/LJnXKEtpiAwpMgyJaRo5HA/c3pyM9vbiOe+8+4Jnz265vT1x8+yWdHtCjs8hPgNu+OJm/+jbZInE0ee7NBIqkLTXXKpVXN41UGpkWpV5zZzPM/enC4fzgalXY7S50gRlKlojtVqRxeprTAihJ6XjAjQdIKoQktXzqapItXHjaBQfTPiIuroX0kHrZjxKbfdI/d57R25Oli/w8CXwjcdaKveLgZ8oJj8eHQQll/Ov1cGPAyEDPivLOrMsVtfIDMRNtdToVV6Tp9hrEciDGlU9Vpbo33UVsuK5WSlFhqGQhkQZTKlyXbNRCpdCWQt5KZS5kOdCeSjk+0JdKrUIqqHXDJEhEg4D6ThxOE2cbg4cx4GpyfnH0AFpW8+ag7C3ubddoBEwbT0kBGL1aFEDP2rgZ5CAizB3sONTeNOvsagyG6VrLzAUnPZHn0V2doWaQa0qNkexRShaRFv3fdPDJ622lF2Yr1G1oi2qlw38RBHCkKwfJOvbKQqp1D53m3EfvFB7MKefr3ldQMUnuKX4eJZoiwbQxJokVCRmc3yJqalKsOfgrAZBXPIeCpEiagqiaSSOB0pY8RLKtLpLaa3MS2VYJuJ5JISJeFKGP1uQ/1qIkj0S6W2gxSOLxXME26a7iJ+r85YGhnwdrVBFjJLmTtGslVyUJBXRSFTrQ4pScybXwlIDa4H7BI/HyPk4cb6MzPPA75aFh2wOBcHXxhYxUmV1p4LlHdadwqhFwZa5evRn4eF+5f71wmefLty/XDjdLqxFHHQWlEjREdaBGjNZH0w9M5+o5YLm6vLWwFiZxjM3N2devHjg+fNH8mHmdz7LfPztmZefrLx6tfDy1WW3WeRnXrJtrohbCkSp1GoKj+x0MH3w+by1SZ9LMBtjOiROx8TpZuB4E5kOzv7KI8v/XcAP7ADH1XMzCLzj7BKphAYytgmng6D2egd+2v9X4Af6ZNLpceFNQ2r7y/cim8EirmYjYVd8b//cwc8Whg0C03TkcDgyjUcO05HD6YbT8Zbj4cbenw6UosQ0EtOABJuGm1doC5Fa0j5FkGKRglSVpMqgMIhVHY4ei25UrC3M3iZdK6DWchlsbd4rE7m1qU3e4AkQevLYPFnbJGoJsnr1A2mRFNkvDs1i2P29x0i6gZ0rZtAV0rg+v/3rzcD1yd3zprZJke4xkmrRgIJTFdgMb6n02jIbn1p3CaabXdxAWVuO2/8NOEpgAz7J6GAh1q3ORCzE2ICPAaMaBWJEQ6SGSAlOIhL1uI84YG05PXbiAa9QH23Cj9UoZg30JFdvC7Gpv221Gpr0a9vEQU5rUxVxN6q61HADdhgdScWTqR30iXuFAoQqDCqMKhSsKGpFKQ58GrG4KkgVpNp9MTqI72/n7uiqBLq9NmOk+sLtC5l4/Ee8v3cHjJ2n0a0SY0oMwZOsY2TPid/XDDtMQ1+Q7bNd5Nf7as+Flw3WdPGV/oaax7FFmWgdpgGc7as9Z2j3SW8LB58iLQm9Se577gURxWTQRXH1HatzMU4D02HieDpyc3tjkZ8Xz3n3vXd58c4LpufPkJvnSLgFDvzR0Z6njxb9GZEwEuNIDINTO3eUIgTV6BQVoWokZ5gXAz83j2ceHg+cLwstD6U6eC4leBmASt2pbPb1pUHEHvUJ5qTSauNNq+ek2UQhXfDgaha8euznqTecNzsv0peq6fP2QzGXyqt5AQz8jB71Sb6pFrRkL/Rp4GfNC/OysCwX5svCMi+7frqpEdZmnJVCyauttauBH5uPSs/Lqm0rShoTaRwYJ1+jghVDnZdCXrKJSHjUpzwW8qM916zs5Z575GcaGA8Dh9OB29PEaRwYhoEUt8jPPtDati36uq3/sTlL1MUqfF1MsvWZ6N9rWwuU94iPbqCogalGszVHUXAHQ/Bbt7NF1PtSi1r4+W35itrX4AabcEGeHtH032h1WfiaqXmlrIESFwOFnlQ+OC0w1ubACgyxboXZa/DXYQME6CaeBMTc5qCAut6/uMhDjIqkjHghU0FdFa/6mm3zbzWKiglqhHs0fAzDM4v8SKTJnLc1NCwmtxwvfwbhvxGkkEJlOBQ+eFH4ziXw0gZUZ8K0yE/23Oh+PQ6o1MFirbUrHzZKpCKuLFk9J7Apo9m4ork51ADWkpXzolzWyhjh4Rg530xcziO/OQ+oFkr2yA/NbsWdBXaea97yuGvdom15rSxz5vy4MqTA61cz969mXr2cyZ/O3P7IzEo1uqGsoJG1LugysQajEmv5jJovFvXNW+QnUJjGmbube95953NWXvP//Y0LL18WXr1eePU68/JV5vX9wv39zP3jYpS3x8XPuZ27FzV1Gj1qzsNWpNoEotzRJEKU0HOahyFwnBI3p4Hbm5HTs8TxZDBmfRhYPv/i0+IPPPhpE0EHKDRgw5PcnAZ2riM/IezAD7tozHaA7jnb9n0dDXoa+bmGPb6v/ULWJ7i427wCdvRCX82g0obszVCbxsmAz+HI8WBRn+PhyGE6MI2TUeKGbJEfr9jX1IVMHYdOe6vBlHKoFamW0N1obwkDQCl4LQHxyV5sAq9oL8ZXHQhV6AUoTUnbp7DNfuutAq29bOtgh6eLkL3RdUaeAJerdf17LPJvfP4l7Ib9b1uk0VgH6txf7XKPzfPE7losIdTaIVQ2ylvdeab3oEefnF439ntT9Yto/ThEMZnPpF2pKUR/TtfAJ0T+f+T9S6xtS3IWjH6RjzHmXGvtfU6dKrtcvuAfP+rn5/4NkECyEDRAWALT4dWxRAOBhCUkIyEaSEgghIWEBDTANECiA0jQBYmOJQQNOpYF1kVc/RhfP4HCdarqPPZejznnGJkZcRsRkZlz7X3KdezjRolxNM9ca+35GCNHZmR8EV98oYpuIRj4ydr0DYJGDQ0q1erF+sHcYm/WKrqfdknK2LM+0ilwozmd0vFiNOElp9YYl/uKKkYEamNjdFAyMj/25ZYK1wJosgyQgp/KhArCQoTGAWUXxKRBA7/t6pzRAOLmeOhYKwiSK+BDSsezPiPBnrs8OcR6MBmvXg1PD24sOWuTz5yx5Iwl5ekGu+Olf1iWiG2HyYljWgBj+pIj4mdT+urn/pkjX9mdOZrpjOP/17BozPc5Ux49Kh1Cd3iV2qWRjxgjkkm95pywrBmH44qb2xvcvbjDy3de4t3PfQ6Hz39esz14iU8PeuYjA8ggLAghq6hHYBWziLE31ARGc06RgFoJp8uGm9MZx5sDDscFh/PSa3lYVGQDDuxqu9pLdHz8PhgQCkEZRlYPxiY572tXfVkyOzYv5GcBjWc/v3H8emzXJ3za3hoedgU/AUCOgmQZoBwE2ii5ae0PV3DTfkbbvmG/XLBfNuyXfYBzE8xQm1itRkdpVSCYfL3tcVGlhVthLbDeGVIF8ZiRj2pTedXMdW0NbbfMT2W0ndEujHrWeh/eWcEPotYuEjQzHiNiTlgOC46HBberNjZVWl20iLrfF1sxPaNma5808BLNWGjMxihv5PvU2CPVWSMDS0aXwwA7gw48PseBz2iKOVpMABiBVDtX9syxBxftnFm0prGLdFDQ19AIyOjbBGAe1LdawSGAUwBxQwCrQl1U0NMsy1VZ9Hcmo38N1oPXu8nkF4gAqE57S2ATp4rEGuSKTYMVyWhPsLofiAG9oPFFCRCJqBLBRNqcOiVQXtX21GZrV3syhchIe0VMRwR8AZG+hjVXHNaC8k4Evk7jnjtd00BFazwABfu4jpof6T+PPZ8l2Jz3TKbS0wIHLSswCjSMYrjvFZdLxenScEiE892C8+mMy+WAy7YigJVmasEEv20uOuFATWlvDKe9McPqfhoup4oYCE+PO06PBafHHV9/f8f3/ZYd6WCBAooQDog1oSRGMt9O2iO4nsFc0ZElC6KBn9ubE3a5x3/5uY/w/jc23N8zXj8U3N9XvL5vOJ0qTpeKp8uuVLeLCsBws5pAaz/gPXvUhuo+rjtq7HM9UOjMkZhULfawZl3PNyvu7hbc3CqMObWAV/AM/q99fFuDnxmijMzPN3l1Byn+Fupv7RQP8gzOBKow/ham985b2Bwt9e+ibngm0ETqQMQY4R2vQxzgx4ERGfdhbmxIICyLgpwlr8h5QY6LNmtLpl4TAmJMyHnBuh5xc3OLu7sXOJ81Une6OeF8PuNwPmHNEesS9TkHrKZUkmNADpq+j6TSrBwU/IhngUT5mtwBkNthB0JmCCV0A8LCashj6AYuWe+XlhPaogWtlayGJjCCyRX74LrDihn4vNUD/HUeM1Cbfl5cXgwWDSKrmWnQsWmqF9DINLPcabZN1KNIoxbEONwwYDs9AiltLWVCFvXBuQKtmqRr0nm6HIBlAfJqPXMSIUUTCUhan7NYViZnb4JqdC5SNSJVY9KMSSVrauf3l3DlFABTRs6FbwK0qMko5VKVxheETfENiI1Qg9LeYlMOebDP1mCPjkgrgOwE7IKwE+JOkKqgCA1aqcoOBIPR5VSVZ4FYI1ZFl9QYWBmoAinWS6sauLGb28SobjTuiTpPBJBRGF2+mY111New08EIZByW0TTZpLRN7nlJCTnpc0pxUERsw+q2xrM5bcr8QMZ8xCfMeZurb0xlcTBn1/Qs7yP9c66/4GqNkQNSdfCDqXE5WGL7pCDa4yQmB0D+SAaGNOKeF2vw1OWrfyNHgqrCnZHXW9zcvMB2OatjB43mFq4GRuN4RkAgQUoBy5pwOC64uVlRq2Cv3KkvPi59f7BIpGaUBksgGAXSa+eDSbDro2GAHbKglmaQxv6hI0lO7QU6OH/LTX0j60NExvilT5UR2ktDPRv4MdCTSHr2R41bhXBVANSKUd0KylZQ7THGSAMy4jUhtSm4KTafc4VIQGBGMAeTq4IXBz+Ug2WbNFtHgW0fRQ/0xCUirgFxjeA1gfcGSqTRlpRBUdVXjl+8w93nbvDO3RHvHle8PKxYV+3zkw2ghxTRSIF9YkZtpFQi23O9jtNpTzCn3/uDqW0ki1NYRsP3f//c5JFr70sSenaS4simUnDaG7qfgT4/qNtgbyDmTXA9oKlsAhXiCSJoCvdBIih7VSDKGvoIXqsMmACPOrkkbE2KgRT0vL0Bq4rLSM9yOc1RLOPSgy22R0CAZCIHG2ecWdXeYmhIqYJDRUoNMTdFkkygGoFGkBbAEtFaAouKJZTyDi7b57HX70DlvdMPEfW+kBjt1GxVJEIiFUPIqeJQCj74Hxd8dDrj8emEp9MZp8uG03nHZdOaslqa+iBNJiVDWNBCrM2Cs7ON9QIdAwdQ214RY4SIhToCIXIcUuFNMztcK8q+4Xw+4/HpEa/uE9aka1FMXlG4YS8bHk4bTucNl21HKcWa7xoAMiQmbGqUpaHsDdsloeyCWgnMCRErRI4QDiYrbvexCUgqUrxgXQpujjsyRYC1tyEZNfC9d074/OdPCO+d8V++dsavfnXDxx9veHhouH8seHhseHhouFwazntTSfWtoew8gUcAbKIGgAaQIWADP0QMBFOgJDGV2mDS1sC6Eo5rwM0x4e4248Xtgrs7q5W9CPC/C/gBJgAz/ezHN4ug0fR4++8GXCaI9Tzo90nfdqUYRyNa6nzeGKLJbEakmHr2Z1De1InyxqNsvH8iqNBBWrTA1z4jUDT6HizKGJByxrquOB5vcHv7AqfTGdtlw9PTCQcDP0sKOGTCmgJWk53N0cBPHGpvEkizRMHrf2gUBHpDuynT0cFPjwQpnme+9rUIulG2mNASo6aItmhPmhYYLehi4Oc38ZNuqox78+lA0JsOgzybPEvSDs669xiAYK2dYSbtel61iL45aOLOuDKwMOaTF9AKwT1gALqZxKAZiyRavI9AQ3K2EaTqHFtXwrIQlmWinkWXajb1tTiJEsRgkTydvCxkijkGegz8VHM2pHUmml6HbWrcQa5lPQJUEpuUAkLMoKbFiU5di0GziNp6Y4zD/MwF4I2AjRB2IO6ktqwC5ACrsYk8+AcrGF8ACCklj4KAFgFKA6oqVgGMWjwqN1QPCX5f9AiiYN/lxsHS10AUdPBEFMwoR+s1EHvk1ruyq1iDNm3M9qyRU9h56Ny7yoqK1kxcz8WJkkbzs5+1TNbHJ5w/aYZsFlFgf0E3bCMr5AEGN4ZzDaJfl2fJFWdqxD3AMj+2UXlNRYwW3IkBIWnHwuuw0W/0OAA4gsItDscNAYR921SKei+o+w5YU8UYkxZyK2kJIQBLjjgcMg43K8pWAWoQEdQKW8Se1XDbcp0Nu2IWwCgbPVsrU4hDQbSCHhNW6J+sjmLAdB+ubqLdf3HYfg2AyO6TiuLIW6zZ249aG9pps88wuxMEMbAKm4g5YE3BD6zmp5aCtpvYQal9TgQoZVVm+2D1ICRaTwhA602CZYiqgiMtGLfX93G3QAaZ7L0Epckgoh4SUmmQXdexMCGsGbQuCIeMsC64+/wRL18c8O7tineOK14cVSQo5YS0RMQlgpJmB5m1niKbipbW1QwBG6+982viKYBxJTNNnkm2bCl5U0ZdDymRqQpahtuK/2myG2P/mm3DPBcs2g8e5wN1fBHtPjAbGFKwVPaiBf2WSQ4GDsi+x3Z1O3+1edHsNonOaxb93WtX2TJSvUG7TDupz9WiLubGGee2AgBi3JCkoQVBDhX5/Qr+ovadQw2QLaKVDJaE1hY0XiH8vaj1Bc57xl4ramtqx0IAWU2ehACxtg8pEVI6IadXWFLDulTQ+xu+bsDn4fGEx6cznk6bqpBtBRfLLLIV+beeCbaalEBKmw6k3wlb5xYAbk1QasNeqvUJS7YPBNQoXXFX51GDiCrtXS4XPD5lvF6SgTVosEE59ah1x/3pjMfLhm3ftd6nWa0WN7A1HycDMrUKahHUnQ34RBAWvBeOCO0GeyUVZzDfTLdHpQauCxCOZ7Sstj2QA2jG5949Ib93xq98tOGDn93x0YcVr15VPD01PD5VPD41PD2plPpeBHthVY2zhqzCti7EtxdyGo3WzUZC753g6z64oqw2Rl8NAN2sATeHhLubjNsbBT/nxf2ob+34tgY/1/S0+R8smm61J9qF/m2vl/EGj7RRLxfsTkC/UfCIzHAQrvGWoMcIafDOYzT06lSMNPoMqGS1gR8iBER4EfNQG7GiZwBLPiDFBTFmpJCs748DJqVUhKgR5/VwxM3tC5Racbls2LYdt09POJ9POJ9vsEbgkAhrBJYEzf7kiCVG5BCR7fxVGSyYcbHMjxfnh7kocAZAU8qYLPPjEdSk0fwAgiSgZQZz6goygUjT10WVX2qgZ+mY5zFsf1ajpLdmOC4yvebtR+ivuf5U6n9ZrfGh+EzhYH0m9LkW99O9Dwxso5IerRVf9FbYGqFcaZBTHLUGJgaVndWGbzpWYo38xABQIGDJahCWrEpnKYmBHM0apaRAIwXTxQ865sUyPwLN+hR2SW50eW7YPQss4CigZoCpUxr02hopIy1CEKFjQAQgsD3r/UxuxAKQfF3A+gDZepICyAbQFkAbI+4BVAE0gKooCGIAKegmFAMgUWkQMMpRAKIQgqizRtJAqAixYrtoQeteGnjX8e3+pt0bJkCadhln0gh20lUJIqUEEjTKnFJCXjKWNWNZkkZwyekryv+nqA6QBz4AQqhAsdyJy5wD6A4tt2sjfhXU+WbRnGnqCtAlrEnE6kzkjfeLTrsp6MPwOoFO5w0YoCcEBIqQAFASjbabal7IESEZyIveRNIBovZUoWgt2z8z8JMBvAChIq4FCzQKLnvBtlWcnk4KQtOitR55AYUIQdNatCXgeFhQSsOZCppsqM1XgUYwOpCxkh8FPuq49jGBBqBdjlwBo64jqxZDL/S2GioQQCwGUE1C0eekzNZr2LurpqYyg2GrJRI9L2kTgP6EbFDdK84PZ30/BDE0hGBOh/Vd6aoh3CBSwUWVwVrVn6U2o2ypElcQq4nrYEaAYraftbZHkmZ0NLGk0RcpCmDQHHQoR9ibooZAoAQwR4gAyyGpXXWqcQiIdyvizYp4PCAdFrzz7g3efXFjwGfF7XFFzMkeGSElUFSHuUnoVCenhc4AAzyAhrgIkWd/noGfWVkWFAb4SUZps2YpI7vq0VQaVDyadiDb7/SsPOXOtq+w7jWMHrAiTymLbkQkjLoXlNK6Mlu3SX4eGrHUnjakSzSRBs9G9sOBj1PGxnk9i7n0H1pWF/Nc38Fj+Q4Agpy/gYymgbP/1dD+1waWBe29BN4C2mVB2w6Q9i5a+zy4fadmNLih8IbKguqDM9WEStS5r6Ia0ZppVyy54JALzh9t+PDpgvuHR7y+v8fD0xmPpw2nywXnrWArquoIZjTfc9nFMDTgo+DQgFBzu0AWtNKsyx4aglbO6t4bAlrWwGkTtiyqQFpFrRu2S8TjU0QmQWub1svCB1jA3HD/+ISn8xmnreBSK1otKJb1GWDKMq5FUHZGioy6E6QlkKxAOKDUWxQQWGw9N31AKlKsiEvFGirQFIQlggqhEOGdd8/44PUTvvrzJ3zw9YIPvl7w8FDxdKp4OhecTxXnU8PeBKVqQ+BWVQFPA9Pko2hzhABvqyGsYaKIXkcHb3Vh/QHXrEpvN2vEzTHi5ibh9i7jxZcOAIDHc3mrnfuk49sa/ADPHAM831Lljb8MMDNeT5gLntGjePPGQtObZzDk3+Of0Kl1vikaxS0Z5SXFpL16Urrq1+PgRxeYRke5R5m4R2y6zHVUjjuZLv+VIEMIyJb5uTneoNWK8/mM0/mEm9tbHE9POJyOWINgjYI1Amvk3oRSaW+a+VHwEyBxBj9KDxJ+E+i4GAJPf5szP147og/dRFqKWiyYk76GCKEyKtpI/3sWySyt1xNZkMCi8X6P5OrevDkrBqiRZ3fSI1jjO/VYLZKth9YOQAIE2uSrq/dAO36Tg1aMzJ1NJjMATnNURSixC2FhhMCqsmcF1CSmrsX23HSMlMpGyAn957TIlfpaCtZd3J7JaAEgsr4WQGF3u8REGiziKhgiDTZIozZJxyaQOjYKgkaTRurhHZ2TyYDJAD/BassCEgmCEFAIsgPYlPZGOxTwVABVdLNhATiAkslGkzXCDEMtSectA1xAUvSETJBk27QGq1SxDQAWYPbAhW3oJrEpFIwIHTt3X2yNxpix5AXHdcXhkLXBK8FqY0wZz4GFOzSW7dH6O/FvG9NPxHpAoK9pEek/+1wmGjZodj48Wkykn2U9T9GRt7/OEhLif5sMYrd9NDasOesTAkHRzwgXEAQpBgM8sWd/rrJALvP3zGb/xg6CZn9uQCiIuSHGC5gJ+15wOp1BgbBklfUVEcSUAWjvmZwDDodFI6mizYxL0Vqduc8SzWPhGX3SOcddmQoGHPx37vfM/z8reulrJqfWsmkgsWwJ9bkxFLTsvvpJYexPMs2Xb+Woe8Glne03UYnhMIAPORhrJvckTUGVyV5LUVCk91YdF4lWE8qaZUUbdBeBYjzipuduGVBUgVSbjF5jMIWjHHwjaGZWxyfq3lIVZFFMyC+PSMcVi4Gfl3dHvHNccXdYcWvUxpCU6kYx6t4ZAiQIkjhbAWr3CRiZNAG6k+k1FgN4sffuEttNzAh26huZAqCxP8iNJND3KpfMJ3tGv/op62dZHHeK58yUn3swVCLmxAszwKaSV+tV5kfpm+b/yJz50YBWCoRMWucr8x1xYC4G/Pxkp8vyH0rWPXPj34pT+wGAGEt7jYYNCFoHwqWgtagMhBJQt4x6+gK4/QBaI7S6o7UNTVR4RHMRAWx1TBqEEA2lyZz5+QZyalhyw3pf8AunDU+nMx6ezrjvmZ9Lp71d9mrrTq6ALUxIQ9XzoLV9XstHE2hugkIN2m2bNLgSGSUKcq/xdZ9IKW21FM38BIC4oNRNs21E/X4wM57OZzydN1z2QXvz/lpswAfsLRwYpQrSLkqVt8wPv3dEjTcoRSBctLaXAWmMIDtSuCAuG+JyRqCKFFX0KkelP37jZsN/+7kzPvxgw4cf7vjow4LHx4LzueG8VVzOFZeL9h2qrKDcg3vkvnOn+3qwxu2sZi+1/56te6OPp9isPEKwLMBhJRzXiJtDwjsvMr7vB5RO2Z5+kzM//+E//Af83b/7d/EzP/Mz+OpXv4p/9a/+Ff74H//j/d9FBH/jb/wN/JN/8k/w6tUr/L7f9/vwj/7RP8KXv/zl/pqPPvoIf/Ev/kX8m3/zbxBCwJ/6U38K/+Af/APc3d19qnOhGaEAoL4C7VzwBvS5fv9bfn8DDM1g6TkoujqR+byu6W4xJaScjfufkVJGtjodpbAlEydwXKzf6EWFs5RkTnl0p7YGfr4pGzwAESHFhHU9oN5UCIDL5YLL+YLHx0fcnJ5wc37CQg0LMRZiBT8ByCkaRzkg2fmzhrPBJiHW63vC2NjmJp0yPYtoYbiIO8ly5VRBCJwThp6+/VtoCACqjXnnF2M0E3PDK+agy+SEPDfC7v/1v1i2pSsrPTukh9309yUGpORbhRpfXak6LgXQtgUWxKUmaKGikXdV0fMd8ugBkYzo4qonLLbxmNNtlKUINVIwaU0xgJiTAYqkdDdXXMvJldc0ghJgAMjO2cGPgJxJ5m6OFZhaUMYcD5/3KmNqAAh6DwKUjaaxdPep54HW+50CIZFzyQmJLNNkGagEAhUAO0D2wA7N+FjmR8GPp80JRFHl5ighQOmkKQa0GBADA7Lpa3w3N0dGi2LNsZizLo6gp51etyDp9U8uHxstiLEsC46HFcfjavdDQU9vBttBO1+p+tUmcFW27tR2R9drfmZa1TMb01EVrpzkMYHH0xtz/BngeWP+T2vnql7RAjoUQ5dqB0SdUsAyPgPsBM+MfEJE+7M7IoA7O5eClB5BCCil4XLeQETgQz9hJCjvPpAgZ+1HVFlVmratWO2OeJqze3sEd3isYB2+ltEFQhCUyhsMPJOH5G1PUcCkVCuy9dEhFutaYVv36nRfX2lXAuwBuTEXBiB2QPp22+ZHPRVczk/+ySBSqWHyrA+xnj9r0R0Rj4yCSlWqQhOMXREmY2EKeLBMkh9uEub1pe/XyaFUSavtCTR1bR8zJkavtwoIMNZESlheHLEeDliOK9bDgnduD7g7LLg5LLg5LjjcrNoUnbyfkxXPy3Qf5PpEnUEwMviWCXKnzUFQfzNdgVLAgwbBanmCrQGZvle6ND2C2VYi7ScH9HlC0/k4LcgzUy6rzjZvuTWgOYWrWa8m7sDZKboDABlY79DCHmQ9zmxMxBfwNLeusPazhb0nA0HSsEk1wPTdEPwcQmBAKlALKhYUEdQaULYDyvm3GfC5GPi56J4fo9Z0hTQKowidYkiiAY0l71iXD3BYCo6xAF/bcHq44OHpjIeHJ9w/nvDwdMHpfMHpsuNifaTANs4CTEYfZEI7wdjWxAYU/f6I0g51v6gQ8cBkQ6oNS4va18/viWh9FdeGbdvxJAyuBdtu4CcEC6SoHbhcLqPmp1Ztpm49ljogh9X8VEYqjB2CskOpby1iixmJVgCse7jNE2kKMJa0IYcHrPEeSypIKaDkCI4BP7tFfPhLOz744IQPP7zgow93fPxRw9Njw2bAcd8q9r3BG7XPIQxnROi90kw5TxOIocidhLuPrY3ZA1Ji5CxYFsJhJRyWgOMh4eaQ8Du+f0E+K+1t3X+TMz9PT0/4nb/zd+LP/bk/hz/5J//kG//+d/7O38FP/MRP4J/9s3+G7/3e78Vf/+t/HX/4D/9h/Nf/+l9xOGh66k//6T+Nr371q/i3//bfopSCP/tn/yx+9Ed/FP/yX/7LT3s601qbVuC8Gg1dwiOo/U3z1jB7A2Nr7kBoBjtXPzs/1xyEQNpoL6lBTiZtm5MqzOSkhZYpauZnpr85JebKFIl0hTUHEMEi2LD0qTahq9aPQWUrRazuJyUc1gMghNu7O1wuZ5zO76LWHa1VRClIKIhSEVGRqKlwQk5GCdB238Eob/0ZHoSSDoDmMfEohFhmh4RssTv/HZjlhYVTNzKBAnIyNZMUR/MxLzyFRrOcatcFFhhgFpSgmZMQ1JB3ZRH7d33tm07Fr+WMJSiA8JnmVyxQx25uGiqBgCim7NYsuMe9cDQMlA2IbTI27TTdO0WXA5kss32pheGcStadhKC0N1V9w+RsGsj0Zzg9zN5j/XeaG3rL5qFHax1ZupPm/00+jNjWLDBe7/Wgmi80HDSnDrlz7eutQQFP0QcqIVj0ODCGRDjUgaSQQXEFpYxq66nGiJayRjtxgdAGRtRnJu1r1BR8NJPcdMoHbAWmFLQmwGSbtXdNQo6pr+XDkrAeFixrQsoa+Q5RT1L7/jQwDPCIN4C0nk+VUZqgWJ1B6/BYMz4OyGg2OG+ap2/9uHLorg91UOHtiXrmesJW/b1+p/R+kkXxzJmCziuBbqq1Vex1x2Xfcd4ueDqd8Pj4hOPxBjfrAVi1VuezOxYAdyDsSIcTbm423N48YTuf0VjrUlpruGxnULmgVEGpOsdjJOQlmoCFAtLGFaUWVS3zwuJqGQ+zH0Sa5ROeBos0KORyvf0GyHgeoNujCnK1Z5E7m9D7IZhAjf8+fOxnN2mAVfuLnsGUxfaDHwr29x/7ORIayOYwoYGS9B4sFASU1eekpMpLYY0IiZCXpBLViZBzsjEZ4FEqdwBE7jH6cAgwlAMI+ZBNJt3VEb03zDjvxoK9NJTCKEWpRhQilsOCNS8qCLRkvLxZcbNmrEs0FcpRk4cwzfU+q/1n6fdFpp/19yE84PueBq59fKnvg369I1s47kt/HyxoabZaiEzY0ulWYvtVUNEFIhPYUcqxBNLolW+CTe9kEBUl0ebMVsNo7+OggRWtP9asVDQKHITBXNDajlITQOO6Zgdoms79qsnvr/tFGNN6XT/EzfEGgCCvv4ScLlhQkIhVEdR4BwgViGcg/SII/yeIV50vrBSvZjQ0Jq2JcWEDrVHSoMLtseGdu1/Euy/u8fL2EQ///QG/8sv3eP/jR7x6fcL944anp4LzuWLbNUuidaB6rmrVwgTaDZyL6P5r+24QAUUFi74uVQq7oRBhKxVpj7pXW51rraL1aUgmKR9AiBCJaC2gFoAjLAjh36uNgUsTlCZdStuVKR1E+PerIpyWDFzOOx7uT/jow3v88n/5CL//d65Ix4D9C4yNGsrGaKVijQVr3LGkDYd4wdOy4atC+Mr7hEslbF8JeP2q4ONXGx4eCy5bQ20w8Qt9kI2cC0H4OQmMZknD9wg9eCM9cJQSIeWAnIO2S8gB65pV3W1Vxcbjqmt8CQkREek+gL5LDQqlT7cxfmrw88M//MP44R/+4bf+m4jg7//9v4+/9tf+Gv7YH/tjAIB//s//Ob74xS/iX//rf40f+ZEfwc/+7M/iJ3/yJ/Ef/+N/xO/5Pb8HAPAP/+E/xB/9o38Uf+/v/T1893d/96c6n75N9IU4/q+4R7cOp45MZ4tpa8A1GJr+yWB9V2/rfxvOgkc3HXBkAzUpZ3OYUv97NlW2ZM/6iB30uKMK8Qi7xmKaMZFVEpLNSFVz5gpa1Ue1ngpEQI4JWA8IIWLbXmDfN2z7Ba0VU/DZgbYBbQO1HSRF64+SRtIQg3Z5jsE2jImr7x6PaV+HKdMjUAdX5WU9shXUcfV0sRh3lgCVFIUViAft49AYLZtcqneiNidSM2JKWWod0GjUI9B4KPgxAMTeeXmaL90nYQMH89zQ8/KfEwHJ5kl3+kk3Gk/hcggGfGhy1K3olKwws/uWijQIsMi5gSXbmD3C1CJGrZTtwyTDkHT6TXAFMu1zQl3y1W5Wd4ZMTtV185N2Xicv+IGCDJfxlqv7OtaWmL+gzfbsDwyQg5++pMQxWOeXB6s96rLz7hw0gIzmRgWa7THQE4yOYNUoCCEhxAUhrUBeEdOCmpVC2vICtIaGDEEGQ6O9KhZBKvVejR9tfGSn0iudMCKvCSlHLGvS31O2oIVmbddFlRLzEhEzIUSBqtRUCFWwVIgox766EhBbMWq1TYyBKqKcfQAs7cr0vHEIMDX60R/p7Zbsah4/O+iTvmECPzPuuv53e5hiGiUgurtgtVeNGaWqLPLlcsHT6YynpyfcPz7gcHPEcnNEXo426X6jim/zsQJ4gZBOON5uuDufsG8XbJsCoNYq9lLQWkVTiQYIktVIataKSG1LbQWl7qpYVht4eog59QSN5MdnO734vtDNhxsbzRxAjN7W3zCBI4xn6vYF6IVZbn6fOdL9FvmaCqGDiu6+yvWMqKcNl6/d22+W8SEHP6KAPhFChj4OBNxE2yMS4qrrJC8J65qQl4h1ScoYAOAMCjI+v8+vHphxQ9qzn7r2lqRrLsWIFGx+TJfKgt5PpTal2KiyYkaO+kgp4uaQcTwkAz/BeqChByrJjNKcQ5ufp5wceuZnBj9X933QTf39fS/3+3W1oAz0iA+MAp5uKP3f4VlnZQ54MFQC0Kh5Us5obsrJkmbCRC3oe3XKQZjAkYwKx0NkIXp2CtBeNAW1XrDHAJZk1+BGIfQrEJ+XAFykyel0XbnS9tub9X/i7uak8ypviPmCRAUpMMILgL4ooL0hhIKQNsTlAxRUVP6/EWTFzgJIMVltBktDE1YhE1PtW0xR88XxI7z74kO8W+7x4f/3Ab/4/it89NE9PvjoAR+/PuP+YcfTU8X53HDZtO9Mm8Cr3hIN1Oo9Y7ubAunzhXQ/F0IQVkVcZxE0BqMiFuprIZLVxTXu4CebAFE0ERThgFq12XzQAkL1q8CobX7o3uHCPW4+eulBE9Sg4Od8vuD+9RO+8Y1XuD0c8P8JhLuXGd//uYCXXwpoXwrYdsGadixhg7QNP7dd8PoXL7i/AKfXwHkTnM7A40PF69cNjyfGpTSlzRkZ3IGPZ4I9s+n2JppqqqoGeiDAqNO2LFIOyIuBniViWSLWw4LVgM/NYcHNYcUhL8ghIXIEfRBA32Or7Tcb/Hyz45d/+Zfx/vvv44d+6If639555x384A/+IH7qp34KP/IjP4Kf+qmfwrvvvtuBDwD80A/9EEII+Omf/mn8iT/xJ9743G3bsG2jdev9/f0br9FDrn5yYzSM0vg7MPaT5+8F0B228duzf5PB+RwUtzhFhzPysujvWaPGCog0G6RRitjVkKaYKnwBBm7aJNOMiSu+gRiCavr0pMCn7ag1I1WtBQog5d/HiJwXlFp0Qy87WBqIGlo52yOh7gHSlK5CMV6paVEIZpi9jwk0PWxRvE51Y0YEaXYGMwCFbRps9SPK13bOfEAzNTBVm6vZ9PZrGlHXxhb54QGCOsdVz0GjHYwQvGlaU2MSFARp3tl5tDoRhIGZ2+Vx1j537J6rm6TzRM3RAAEkQxCCotOCjEMNoyrYhwUo8KM5Oymm1gkzI4HASQEKmzS1DrVC5E658bKL7pDSyBoFp0L5dRlQkjBqY6LRG5MZbbbrZvSCZTZevlh9SgdU/mCo+IMAxMF0sqcV051Ee/j504j+kBlFYlEhDAdBzUAy27NlfTzKF2JGSCsoH1HTiphX1LygplUjhUgApV4L0Uwxrzbth1CbS3D6zdRxWtaI9ZCwLAnrQZ07pacuXW0xJ0LOhMVqqygyiCpUyqBAZIdIUSBgHOzaWMEPA1VrSlGniKO8RabT58mzuHIfZN+Kne08/zw7ZfpZk2Gb76E9ea3BNSiFq4pj1ByFfj8j6ZyMXpcBU6urwL5vOG9nnM9PeHx6xP39PY7HI27v7pBuCygxPlvwA2g26QXSuuHu9gllu4AIOF+esJeC8+WEbb8ghAxKq/akSityitD+s9IdwFI3SGVwUXsktRmXXW0PWS+VPpwujGDBCAuLaCDL7oo6CU6FI3hGdbphZjfNeew3z8Bu58T7fRt7UyBS+XaQRa1DVyzUAM31HrdtG17fl+n93s9LKcfJQGHKhLhGxGKKlwcCRWtGetRMzeGQcVwSDkvGkgIiPNqrmQzCAITdVrl9na7Ho/fJVNhCL/qcdmoxmrWtHa0pGIJCyfbUw7pgXROWg0aTvUt8l5Imo+K4M0vz9yjQcXvfMewMfuzezhh3vicdnL4tBmGf1TMrM/Cxn7sDaQ4liwfZ1I5FUrzjDGxhNvlnGgDIZI3VtluWUqyW1OywLWmr5VP6VS0ASJVYyY0AoD5AB4e+GQBESsOPIXaWCIAebDweTnhhzSgpNoRYEEJFeKchHCyoKxWBCkIitAQEeQWSnwXxbweHVf0T3nswtNRizWrV18kh4rgEvLj9eby8fcQH//EBP/+Nj/H1Dz7Cq9dP+PjVE15/fML9/Y7HU8X5UnHZ2MCPhiL9XtJ077vZE1hGl0HcNCvq8Qu7pw3S+/OUEnCh0s1sCsF6NqloTIoeuDQfgmGVdio0BELPxBZmFFawXwQoTVkDnvlhOwExpkFoDQWE02XHq9eP+MbXX2EJAVIb3vncEd+4z/h/vT7gt7cF+UsB51cVH5w3fOWrG87lgtN+xtMT4+nc8HhmPD0JTmdRMHQC9j3YfNR+gWRNDF0Syn0/D373AKf5k9TX4JjzyTI+eQ0KfJaIw2HB4bh28HN7WHFcMlLIiBKBnUBftzX1SbDgE47PFPy8//77AIAvfvGLV3//4he/2P/t/fffx3d+53den0RKeO+99/prnh9/+2//bfzNv/k33/pvb5oqdIer/2+iSF3Zt0/8ND/GRjJwkH0LCYhS3+hcwtppbktesOQVS/ZMkIsdmPIbReuZobQyAjSK3g0LwAgg0lQvgUzy2TM/VkfQCNxUfae1glYKKBMoJKSQEJQDpdHOWlDrDrEltm9P2LeEfQvYk6CWUQjpSkY+MclD9j4Qg8EGs5lACOYkB8gEgNT9FzWcIqNJatBFrop4rPUaybXwlY/qwKcxW4Gf/2wdlQ38NNauzgHNNh3WVGzXjycADb1AE1qo6oX510FUA0DTrqW0N/2Z++VrJA5ESLarUrBiWpn52bYpsQMf9Fw1mZWgaf5xIhWWyARJpPKlZNEjIlODGZv2PG/Y+EudUtGjdmOD79LTkUwOWzdFJotxsWihshUTq9iTXUuwOWgoRsxoK6cidOWvDoDsfuseK50jHQy86bNuwIFpZHks4xMZRgvUz4ldhjUihIwUVyAfEdMBNR8Q7UGiXS5AodsGV56phVFqRWlVe/kIAKZeS7WuCYc1YzkkHI/amyanBTEtSHG1Z0JKDSnZvEtNe2xIhcgGwQaWHdXAz14NAFWXUCUrCMUkGfusYPN51KYbOIx1+M0OD/J04PSWN5oDJE5F9DVOb/+KYH6Qg9doXPtgN12jj7pmtxJx2Taczhc8PZ3w+PiI27s7nM8nHMuGlBpgjQ8/uyMCeAHEDYebE263DaXu2MpFaW+XCx6f7pGXA5YDLIOo1x2N9sYyMj+6BppKMhtV0ms9dDxoBANsLYsBIOrm0l6vvFB1SDsQMVv+3EN2Z4vMyQQMAD177ZXhkm6nA0N7Z4hmpDXQc/0dl7rj1XkGP/4Z6sSsKeKmJFUAbQmQhHCMgBAoRmU2rCvWQ8bNMeNm0UeOyYRWwvX8cFDtc2ts3v2aXRo42j0J8/VNr++0Zx6sDm8WHs0OL4uu4bxGxOTZch2yGEfW3O2jAzQ/pZmW5nN7hCJGUGFaaBPwmU54ICf91dayjD9NoGfsux34in2jGA0e0m211eOPDI9Y/ZBFLDwj5DWyYN8bPM1vV2RjI6I0KF8HMaoN7XS2zv7wa9OfQ8gIcYHyIwZV0W3aMZ7xwhTPBGbYqQLvWlZlFwRp4FDACSa1DKB9DMSfA9ffAaaMKiq93kpD3XeQqf1EEJaYcFi/grvDCa//1wm/9PEDvv7BK7z/tY9x/3jBw/0F9w8XPDxseHqq2PaGfdeAVOuBUK1DDQZM+30UHytjYETbp4Lu6Qo6DHyYWpwLkThAWqIGxzUgkJANuPkscDBP0kxN0mruqPUMp2d/ugw3v4X21tlBlvm5f8IHKYNYUC4Fn3+6w+Vyi1YbGhj/x6uMX37acV92nPYNp33D037C4wPj/qng8VTx8NhwvhDKOaFuCfuewJKMu+KATsVDIJqtZAOLgDfIdsEXAz9OPzVKoGZ+MpZMWNaEdUlYrTHxzcFqa9d10N4kgi6E8PNGe/vat7IpjuPbQu3tr/7Vv4q//Jf/cv/9/v4ev/W3/tbuXA6/4NkGYpPymWf7TQ559hvBAVAPmkIsKjOoWh34JK0NWLKCn3XJWNKiNQQh9Q7ocer7E7sBxnBUYUDNIgJw1MyurOJOhi4wlSvc0WoGpwI2oKXFYlkpQa2g1g2lblofJA2XC+F8EiA0MAoEbaSsA3X1mRGum9ynqyElpb4xgwPps3Fme68fH0uTUCYhsEnBKmXGaINRjYcW4wU0Dh38MMdrANSUytaM0lYjawo5BBA1KMVLu7OHig50uI6GWgaTOkDyaJhPmY71RDMQfji7i8SNHxBMEpSERjI4EKKpxYhxYQPbcJrMdcD0XeZcStJ+PaKSaNZzQdXSom3gQ2JVP5+7ogy0vmXOLvkcEuoAKkUFPpzU8DNp5CqIRhbJVJikaINQBz1k0UbPPAVrWkasFAo1+OYceqNTqBR2f5DT3q6mltEFB0gMhreUGGrAh7xXllLRKC2gfADlIygfgeUGws0okaLznRvWXFGWhlIbCjc0MclRAz9aZ044HBIOx4z1EHE4ZiyLqzLaI2WjJQpCaEDQJnAsBcI7WHaIbGDeLOujj70o3Y2Z0IRMQtbBK8C47u/zVvP06ez7pzvo2fM3+edAQLSagRiCRqFNTa01hnDBTqSFuqcTHp8e8frhAcfbW7x7PuOdfUM8tt+ky1lAuEM4POHm7ozNsk8AUGvBtl3UfqcFOSvfUwVnoOBENLLcWjU1MutKbvQYL5DyRpXw6LCplHlt3/W1Sfd/ndA0nOIRJhqPZ8cMFL7JfkbkmFnXunySoguA2ipO5dx/d/Dj11NaAmeGajKqjZai1x9CQDCp98OqXPybRR/eKFubZIYe4e6Uysm+Pr/Gsac6OJmufxqDYfdgoCN0JUIyB8tlrdOSVHUwTkX+E2X4KsvZ4Wq/S4O5MEMf/2K7n2OM33JhAuDqXoj/Sd9t95Q6L9iYHo6AaYAxzRsGdXojq913my9iyoPSAbklGvp4+QQR610j4wT72sWudPpQ5ki9nldvwA73jwz8xKzBDNFsqtuqZrL9+YMdS9Ysr5BAvgDIDZvQERAKg1obdHFiNCI0BCS8QsWvIMgPgLgow4AV2IWkGcp1ibi9+QAvb76O5WuP+J+/8oAPPnyNDz54ja9/4zUeTzuennacngqezjtO56r7gNVfMvt4o/t7s78zfEyGly5LMEq7iFHd1G8pTf2KUKyYQW8OJGUEqy0MKSHHRf0hV/0UrXsitrXCZivIg72i1OnmQTN0zRk/VPhCs9MQwrYVPD2e8DEFoDbUy45SNmsSy5AgeJADzkVBz8men7YN9w9Vm5c+7bh/qNh2gpQDpC3gFobMe4+WBWOlaL5Hp7s6Cd3ndUGcoAFMSgBZD6xlCTiuGesacTxEHNaE29sDbm8OuLs94OXNAS9ujzgsC75rUQaG5AXtOxXG8ONgh30rx2cKfr7ru74LAPC1r30NX/rSl/rfv/a1r+F3/a7f1V/z9a9//ep9tVZ89NFH/f3Pj3Vdsa7rJ3zrtWWn+S80vUa8gNAMghV4P99LxOpPOtsAvplMoEcAQKNLIQz5ahU0cHGDaLU+EckiWV5U2E2GRRNkMiPzFXUz7O8JNPG21Rl0QEb9XPvOgJ5qhGV0gtUbWcf1WlVxLoYIMtlIjVyOuhbLvpoxsP+ROwDz+GLeeW2roKvrcAPet38/1ec3cHoE2wzUeQ+2xgjEwZxPzR7FoI3OvN+RRwBzDloU2wJKCUheQ9RkejanfiqI7dkIY+WUneC+qWsDOPRmYbQClCIoNaDsCsxYtPajSZuirjoagXRjmX0dsQEXgjrloW+/GmnyDZjsHrhohNseUvDgEazr7rA2J+yRoMp7SxATaVBjLqS9ivybg0l4koGfEJ2Cpg9VkYN2hTdwouVG1OdmEAUvEQpkkoj2BvI0OYmeuM1fB8w6zSxfpAtAu7fGZMhrOD82Sh2ZdY48Q6mhRX8PpMGJoyjnXWwHIROSIGjvl7youp/KVWtGxzubi23SoIKABlCB6uZtUK3uAkiDiIIerU2YInWMrqrXG+LCnRtMrPprn68D8WfLxP/2CW6z3/2ZbPXG8dzHpE/4Y//R51uYaIxQyptY93FCwXbecTpd8Ph4xvH4hLvbM87nDftesHzi2f5GjwhgAdGKvB6wHA5YDkcs6wHLekDOB5O7JpWF3QtYGsq+ozWt6XEnHAS0YAXmtn+EqCpjBG0zEJLeZ6lVmw1ymwbs2Rp0z53Z5q9n8cUWrr1utq3AmCTz8baMkR9k9pIZgezeh67b1e/hnFmhzov0fx9QAMCgh04Tg6DOcQqp17euOWHJ0VgPyt13aW8HP9eTcFzD6J9k5/Z88vtmdLVu9Ly9f5o6YWTNdU1QKPo+ZwqpYQI+ZGtuAkFsnzmvKc/QXtHgrhyF+VpkYNr++gE1xpX7RcBuO/eiet/P+3vFpaurGZGiDWib1aIVlR8X5t5jSUzuWqY5NgKSxh7BIHI7oB97YeiZUW8uTXQNfgiEuLSpBxJD4gJdX5pZ3N9bcLF+LOKKgY9Ff266x3BlsKmq8659qNpe9bncQ9ojCAfkaHtRAG5vVrz78gXefe8r+Py7v4zbj+7xi//jY3zlw9d49eoR9w9nFTe4aN+vrSjocdVNtvTZoPbJuDZDFs70cPsp7FoecxNcwdyTUeC0TGXuuOSzTivzUWK0OahFtkqp1MmoAHYskl7PY7W4PoTud3VlQVMx9E2ChY19UHApO077BU/njOUhIq0BCIytXrC1R5zLGee641Irzrvg8UlwOgkuZ2DfCKUQpOpAcGOlBPs8c5sVRtAnBhWoItJePTF6C4Ss9bR5QVqiloUsGesSsB4SDkvAYY1Y14SXdwe8vL3Bu3dHvHt7xP/98gb0pQXHzy2onHHiBeVWYczpo0+3n3ym4Od7v/d78V3f9V34d//u33Wwc39/j5/+6Z/GX/gLfwEA8Ht/7+/Fq1ev8DM/8zP43b/7dwMA/v2///dgZvzgD/7gp/tCGYZcpmc8s63d5JjP3gGOv2dynjyi7p+rE94UpuBOgRvN0cMnW7Yn5zweyet7rLkZTbr6vpQ8AtO9jenMaYAbS+x1Y0mw5m/w/VXGapBnoIhMWjkEBWpRz6/saTRYDcFUYYYT5XU5/ruDNZL5HNX8iTmv1mjcrs0B4wRyZDIa7AbYHd4hY+2gTxzsICDY5wXR9Cob6GmiKePYtFFftH4jxVTjSmGU1pBLVX5vbUqVaw2tKpVFMxkWkQxjAjnnvOxQMYM+M/RiFPwolWrfGaUA265F9WIqAoIGlyadpYsDkdGtJiAoatykweoP9I9hXteeESTRc+qfezXhr34mp3yyIIqWemeCqtJFAEFVgBoJEknnHQcWBJPnJBFEsSxU1GaiiaxsPBC0446LOkzZLzh1TUFxnOatqsOY4SdfptLnXOew+z1JERLtQdTXJ8OTN8ZDJgYL6cajaqqQpmqMS15AUVWqIGLy2WSRNqhohCldKXV9iGsQKppoaFO4AGgAV4hUEBUQ/FnvvRdltybgCQA1zODnuVM0OaTQReDmodd4GcCc56I/qTkYn+Zr2j+jhyWeh9/Fs3bP0M5sUCefXpmPZEAWqALtHF61fwUa43K2zM96wLoecXv3iKfTGZet4E7afKmf8ZEBaDZwPRxxOByxrv44A0Fzia02sGxoTNi3HbVWiHDPbKmqlM6z6vuA1ZuluCDEhFoaZNd/baxUyudD2EGERyY8EOeRY7ma9UPX4tc43tbT56rWZM7Wy5uvizRD7cnV9/Mmn2d2TADIs+S6rzjrQakqrtK0HBKWNVsjbnoTD+pFTCeFqwz88xfr/jwAoZ6xdAe2q0eS3Sfy/U1/1n8PPfPTQd5V9mdcs2d9gInpLdOdGpvaZMONYub3VCaQM4/1FVjyz7VvZ+qf218rDHBTsaKm9C+02kEPl6aNZ5u3x3BZZZkUUi2zaVkGtn2XTW3Ng3K9bs2zPd6jyKlaNE1wEHKpaGuz7K9+P4hQqkbjL+cFp4ejXgurzQweBTL6sVNLuYk26qwZpVTUUlHLBcwfI+C3gqI60wsiXr5Y8N7n/ie+8N4v4vbrH+PnfuEVfuUbH+ODjx/w4YcPePX6jMenTfv4bEp1K2USQvK5DC+glckeS/e9hh8Iq7UxcCPWjkSmWmSbCMxNM0qNwIG7OJODlBiS0jCD+YB2T0z5qFPKuM8p9H2I2/hdXZZwJbRCBPWRIKhSsbeKS92x7AH35wh6EEhk7FzwcMkofMHWTtjaBTs3bIW1xucCnC+E7UIojYAKA9TN7ttYj0SwEk73xAXRqIMxEXJSJlKKqsZ4PB5wOK44HBYcjwesBnhU0jpiWSPeubvBixc3+MLnbvADX7hB/tItNlnwUckoZcG2vYd6r31+Hl8FAP8PvtXjU4Ofx8dH/MIv/EL//Zd/+Zfxn//zf8Z7772H7/me78Ff+kt/CX/rb/0tfPnLX+5S19/93d/dewH9jt/xO/BH/sgfwZ//838e//gf/2OUUvBjP/Zj+JEf+ZFPrfSmxzUA8p8ZIzPiRXlXKGn8ML1r+kgiPN9XBGPR+4TzzE9OKmywTJkfLcJzQxswmwt4ZIl8M7wm15F9v7/e+6708xRvpqcLVJ2h2VhOExIGgKLXJakoQ4xZo2HBozl9i+7GmseVTyM9hqxznINGGXXoRtbHr1M/4HrT8MiTZoUn7vtE1ejJpDA7ZgbMHPQIOg0ghoAYA6o1xqo1IqWK1AglEVJVEYRaGa0SWmTUXpH77AH0PhMKfp7NFBtrYUYtQN0EexFsO2kvGeO4qWQla2fv6E6FOg1iY8xNx4PZnFUWq0eRMW6E3hjMB4esoEa8dklgG6dn16ivC3X0LWMDAYJnvAQtCApZ9gYqwMAiVn8joOoARoFPgoKd1IBEgtRcFGLUJzltxalrmnXSezh8anMIneZh19GBT/e0LcUQExC1qJaJ4E0IzWXsfHdV3yGribM+jRxMFWpBoogVVc/Fz0nIaioaJLTpWSBQqmgvHBY2ifnWpeYJTYt4qRndkk1gYc78UC9QVRVv6aLILLp3EE8OaZjGqmf0MLKhluUi9mwruoCCC490RBTGPHEvr9sHBFxxZSYHh2gIbXiWjhC7eo8DoAajsbSGVgqkNmyXDZfTBU/LCXl5wt3jSftV7MXuO36TjgRgAYJme5bDAetywGKPxjpfOkWvCPa9aARdHOQEwPp0MTTDS6Rzj1JCMuoFhQoWbXZIVeePj6qPX09iiI6fO8cOfNpIq0zv1Xv3Blj4hGMyC33vcDtA/g/TgBNm8DOB5en/Bgk6ghYJEJ6AwiRU0wHQknE4LlhvFqyHFcuyWNalb0Z9p3Ew0b/PwRphzL9pSKhf5wiczec6Ppswmn9bQ2kXp6Awzv/Z/fG/90zq2IowfxPESGNuosmYJUZHcqvEHnTqIOnZSMv49OcEe/23aV+0hqUw0GOa/UCpmvEpFa3UrkjookD+c6dzwmm6rYMeFgZ32ju6Gt4AP7E/ezDSIoUAVEZ+sbS2CJCyXk0tFwBAuWRcntRJJa6gRlrb0hhk4jrSNCgpHMBVUFpFLc2ClBUiv4oQE0L8blAiUEy4u/tVvPPur+Dug1f42Z/7EL/09Q/xwYcP+Pj+hI8/1szP42lH2Rr2oo9itZ+qlOazxSGOsV2mYAT3u65hEG1fINa3zYQHWIO5zUAPRNBEKftsjVB7fY54AMV8Q7vnYkIUQkZ/c3aNUQc9s+RtPXTqBFVTnMz2TC9i0lrpwhV7KzjvAeESgMho1LC3HU/njCo7dt5QeUOVho0Fl02bgl92wr6R3RsxqX8DQJq00rGxueMCQzpo6mPEBGsZ4WqpB9wcbnB3e8Tt3S3ubm9U3n4JWBbCelAa3MsXt/iB77/FO5+7BaVbfHh/h237TuzbOyg7Y99foJpO0NPDR/g0x6cGP//pP/0n/ME/+Af7716L82f+zJ/BP/2n/xR/5a/8FTw9PeFHf/RH8erVK/z+3//78ZM/+ZO9xw8A/It/8S/wYz/2Y/hDf+gPwZuc/sRP/MSnPRU7rjeMjm/o+jWT7bEoG/Xfe6BMoIuBpo/1NwZzIhmdm0sz+MkZa16Qe/bHFd5mQwuL6PmH83T64dlJ+4alz7o0PRV+jefM7RvRIbPYw5i7BGXsmSqtBYpWJOrRnAEJO0VG3jDJ03c/25X7rjt9kA+i+Fl6xEKmjIdtt54WdgDkBYa9cNg/UClUHvlwIbLGrMIJKahmfrWGX5mQa8CeFQyV2lALW9drRiysWZZp2/eC5GDgp+40ZedgymNKIWMG6s7YN8a2My67KnuZn45gTC34PHDueVQp8E5/NMAh3ptI0HnFQvCeqhMw1NQ4aVFMl6i+ulF9HouBHxUPSFDgHIMgREGLghq0d0SCGvFm4CdUAVVGACNGQgKZiPQQgkikVLoE6fTOWaRhyOPhWsGsOwrmjNs682cFNAESkhY85QSJqVcus10b+1bl4AehZ35qBWrRsdKGw4KQM0IyMQYhlSxlAoRRpaDyjsranK9ZB20WQSMZqoO1ahbRnrUpGyMFQYxKw2QeoKe1kfVpMh483aJ5ll/P+PHzc9qbr9df6/hmtDf/Dp9ifarT9A/za2yj1QzJ4LZ777G6V4CAy/mCp3xGiAsorLh7+YSn0wWXyw5urLTC35QjADiAcERcNfuzHG6wrkfk9QiU0SiwtqqSt9uGqii5i4IEUjEIjaAqXRMxIuaMtKxY1yMoFDQJqE2s1xPhqrFVP+wGswYeYM67N3AGDxtEYQyMmtQJFMyfKHjr0cEDA8EAMs+zhDQrG6d0MdsG4NufO8JXpy/2Zv8QjJrXHKMyINYF63HF4ajZvnVZkWy9djjjiKCvf/19/vdZypue/aBRcvQx9A1nfPY1GBo/z3/D+JnGe6mfybjsGbTYbmvtHXzfGtln36Tnve2NmyXzbuP/Ng12/1Lu+7pIU8AzAR8pDVIrpBTwXsGlotVqNbM8shLclIZttY5KyfafGQ3VVGBtTGxta51PVMq8B0rDVPQJBZVLPWggwUAFN62rLbuCn8vTgtO9Zn4CF4QmCBIRGiE0WDbBghGiNXa1FRQuqvrKSi/O8b8jxfeR1+9DXiJevvwabp5e4b/9wkf4hfe/ga/+6gf46PUT7h83PDxsuH+64PFxQy2C2pr2VqvafqADVfF5Hux+GRVQrkxfvy9OOeuUQs+yyWCxwLNtwXvyOCWOgODUfK3L1pnQDGaRBlJEGS7Olh8N5GFgFlPMwMBGgAF96oZchBXMtIJYAAoCOTEaF2xlx+mckdcEQUNFQ5UKDjpOpTD2CpQClEpgV9mwQRCuIITOQumAmdR/Ctacj0JAjqQU2JSwpBXH9Yi72zu8fPEC777zAu+8fGHiQgHLYtTzNeD7vvcG3/HFO9y/fhevP/wyXt8fsF+0oWotDfvlAxRDP48fv8anOT41+PkDf+APvDXV7gcR4cd//Mfx4z/+45/4mvfee+/X1dD0zeOTLP/1Bv/MrLzxd4/uTPvAtPvrs9oBFyoIE4hIRnGb6n2sP0HsBYIY4OTq3GYU8/xadEJB1MlFxxRydZ5Dic4NpZNBHQQNM+5RsK7J7youfoaikXTup6Nf6qIRDoZgMSoAnZc6QOUYTwcnb/vdF7MaZvToU88CwXjXvoHQdC/me0Pdj8CQ45Tud+jlaaGKdJ9EqVmV0FP7Hqnr12BzK060t2YbtuMyLXZkSAO2nbFtDZfScN40xZ2SqqnFZFxed2LIM3Xw9jiYedjdyxDpxZIz9ckdgxHpgWUIxApT7fodNE7etfQ5YbK2QSAkUFE5MYnw0XjVVdb8EcmEF4SQBMhi9DdWbJJEhXxiQBcoCJO9GFhszJX57yOrMZaB30jx7BDINgXtkg2THuYOqIcMencCKgNJo1MpElIG0kJdWIGErF6Kejq/QUDNo6SMBi0kbWJ9qIoCn1qUXhkDkBJUoU8ISNE2Kb/3ek8Cq0oguV3p69PIrW9cvjmZnq3BdRZZ7DUOJnuNhxmbTrnpY+lzCM++j549Pvm4eiVNgEwEaKz9LIRRtoLL5YKYFlDIeHx4xOPjCU9PZ2yXC465gT5zuWs/VgA3oHiL9XDG4fiEw/EWx8sFhA0iRYFubahlR6utq/+5jQ9RhVxCZJW2jQnBgE+2WiKhiFIZIVUgxDd3pavhVOdqOLceSXWJXD0CD6Ci93b8PB/P9+I3ev/MmeJn9zQGwhJ97INlMtwGstaqktfGqMx1yAFh0d4qyWp6UtQ9L/ojBYSk1MBotTbRaW8wiNL3sEEImzNUPq+ej+N4W4DDpqsx6N/h34Tx0/OhmcZsXhr+Pplf+WxNiijQmfc29n2NmwnyKA1s/lqvlhmn7GvzuX9ge4uoPYNT1VqzWosKLtypblyKBWM08+PCQGzn0HgCPFzRxB+tg6AmdewnPh7kmZ/cVfTIRQ8oWhbNVV7dopE5xIS2q2MqLYCrXX1tkBYhHCE1Qlqc2mXYWHrWymlwbPW9oSKnhkP+r1gOhLubezw9nfD114949fEjPvzoAa/uz3g6Fzw+bXg6VWwXyx6xNZZuE5CQcc+fH36Lmvs8tm+67+Kt8bxix+l+Yz0b4CG7D5F7sIM7w2Hs+bMHAHE6nQkiGFiTK9BjpiUQIlx1MlzVLPt3NDRUCShcEApUREEaKhfkLSktD4wG9QeqqIpuadqWgRv1fnTqP2htGjlVsk8Y/U4VBLLAewRyDto6ImesS8bNzQEvX97ic+++wHufexfvfe5d3BwzPrdGvPfdBF4ChCJevjziw49+Cx5efw4PDzd4fHzCvhfUXZWN61Y0YAWg7vsb9/CbHd8Wam+feFxZR7p6evsxwyB59rv9dXb0u+EnU3MzAQOTrF6XRcUYlgXrsmDJ2SStwygcvIohXZ/qm+f2CX+fNsorFAGxVGnTh/NG/aFTub/e4+O+YfjC1e3Y0/SAQwHy5p8EwPv6PAMfcz8KsYUq8JTyAC990fPods9NpoiGOpajDsjfp8BoVpjx7/dh0SHS1zY3QDL4zL6pUlDaV/SUhIS+6ek4mNGaRj+lCIimf4PfIxajP2lDudaArTRcdsZWGOddryUl0uxPAlKF9sxgRuKILIJk4EbYKBQwhEFah+MbUYikUq1xelhDVYn6rEBHaXAhGjUL0Mahdv9UKpUhVsdgptzGmjvYIpkAkBmyGEy0IFw/XD1p2D0ba9HzCSKTYpP0uh6IZkDInAalqA6+MsEwkKCn+1EBgVLKvMg3hAqEihZ2sD1a2C0bs4PrDm4FzBWhNVWQg97+RHYqXsDatJCz8I7adtRW0Fjf25o21aumNFiZ0YopDlaAK4FSADiARAMMKmdv89gyWUp3IyRRxbcmw0LEYLLPkwPX6bI0omqYfna/mknnM4wz7t1k9KONGud0hMnT80AIvCaRaIrg0UjxzF92lQXiKRPFpsxnmWoBWq3Ytx0hniEIeP36Hh9//AoffvQRXr36EMvNu0jxptuTz/ZIAO5A2LHe7HhRtt7vLMQzhM5oVbBJAVeGx1hCtGbVWVAlWA+vCI6MFBccjjdYjzf6vN5AEFBKQ9wqKGx6n23sqNcSamDpmlzshzz7ffy7mntBsEHXUgobq74PPH/XGEthxicdOUS8WPyzTGvQ7DBDsISIQ4pYUkbKCXFNiO+sWN9ZcXhxwPH2gLubI26WRXvrhHGOKiRTUGtCCAEsETPFbI5vzFegpt2uojtV44XjR9/TrseO+rgZgLEP0OCj7x3P9337vQfZev6tf5oO8/Wd06yuCudU1uxKbQpAai2oZTdlUVs+U51RP98rUCzXP4tnFcz+sQUVmmdYBWKNd7XVRRsZHnHQU5WGaj5Ck3oFhAQNwvoMab1epY8ikQGehkZaOwWjEXrWR4tGtfWAKmI2xKiU1laVAppzw7p4H7NmlxchnJW25KI3vUefOtxa66uZeSJtiZETsC4Nh6PgQBe8+pUd53PF+VxxOTdsF8a2mbqmsT8qqxiL0tRaD0ppQNnV3QAnuQ1PyeSmxQMN3FUtB51wnn9O+RosHQ/KeZZZlXcL9rJrLz9rjieW/WEu0B5xBlZbs5506tf43tiDCC7EQbCegDrhZLLlpgOi2SASzUhBs0IQq0cFq82GAj5vIzIAV7iaonS1jHzUfA9XQSoKSndb14ybm4TjuuD2uOLliwO+8IVbfOFzL/Ad3/Euvv+3v4cX776Lumc0Cbjs72C7fAGvvtKw7xHbRbTfZwVY1DkKKSLJoj2RAMTLEZ/m+LYGPx1tTn8R+9ObUELUIfQicn/RdPOuYhfmCARLI2odj9HZLNOzrgsWAz7rlcCBRsxo+vjZqE9/UIdw/GH8JM8N4TCOM4BRpRD/nQ0IcY8auXQrHFiIRx/QAQobUHB+srvFvsF07qmriz2/BkxAxZ49kgP7rhEJQY/KqwKKGXejEikok6vP04PHl16BnzGm3mi1S2Vzs2zSBIDMmRchIPkinWRNn22nKemGXjYvQpZpc7eeLU2wFQU+uz03Ecv6oD9XZiQRZFYzl6CCEmQgkaw4kCzNQmY8QjSBgUiIzhOOYTimQaleCpqoZzK6GEYTc7wN0CIYr7irU6BnUXA9BxwoCJmqm6sWdhBGw2n26UoTCLqa2XbXSA11MCwfYKCb0EVBunG3z1RagZ4dB6+tqZBQgVDQQgWHghY2NMrqCNQdrRYFP62CQu0OlDeXY1awWw2M16qUAKW9Fe2dxdU2LgM+rQ2Z9f6wotOo1VABGTG4eb3K52ktkgQ01uc+1yh1ZSEdLOrnCo/AOjCawI9AM1hitXZsGdzgdtAdwO6AoYMo30l9u3ZJlvEXp+PSePZlOPW96KBHXN3PNv7WULYdIgG1Aq9ePeDjV/f46KNX+MaHH+Lu3Xfx4gVAOOCzb3gKqPDBCwA7jjcbXpSCUgqEI2oV7JcCgCxoo1SdSNY0MQsaHPgkcBSktGA9HnE4GAA63IAZ2LaCkC6djgn4UnDa8bwfzNl6E3ZxF8wmgzvbYz/zXWKq4cP4ux90ZTP9s+SN1wEKfm5y6q/ptlLUfuUYdE/LGfGQEG8y8t2C5WbF8bji7uaAu8MBa85IKSGYBr+I0p5abaixgAqBo7cXCJO89LgKuzjM1LNRN3D1NF35m6Bx3m+NjXP9j74gfO4aKBrrRPq4j/swQVEZgKiJ915RdcNqffTKvqFcCvbLjlZal+6OUanOQ1h1WotAD0ABAtgeBs9cm/M7ZwrhDrj1xOPWbO+rA/iwgR2uYAwQxAZ42LLagqrOd58HTsKCioNQAJECH838qHJeV1elhBgXpFJNdEgzXh38xIo175bVUWdbbeACrhEUmz4CgZLS70KJCBLQJABN540ynxvWhXGzNoRU8D+fdpwvBZet4bIxLptS0MvORneTHrTyTJer+WmgypGB+RxTiw7PhPZAwxTAHeyFAY570Ag2AQXq35C+R+dJRakFe9qt56EzdUx4Qgz8tAIR23u6zL5+tApRUQdAnRURAFAwgSDbmyNMstx9Cw2MM5R2DVO+awJU8Z+dRWG+Evtaoi6I05eLbaoMq0M3RiRZXVNKEcsh43iz4O4m4+XdgnfeWfH5z9/gC194ge/78kusd9+NDz/+PpxPjNN517rQ8wdam8kRQIJwgEgAxOZeXDSIaWs1PX2SIvTbj29r8APgGfgZ9o3mP8x/sR91ko+Norv13dD6pmWLzvnMBnSWRYHPYmk8r/MZNAFD27P1lemUgAGdry9hOt9p0QHomZ/JlfLoBCbgI9yGnOQVELKFyGOj65kXt7vwaMc4Yd8grgbo+RmLvXOw7TpAuwJFnY50rZbSAYvMRmVscc9gZB+fPlL9O9iiXjJ91ig4IS/AgxoQJuqS0rOD+ib4gWZpxLX2BcUNaxtRpr0qAGJcg5+UgMpaK1NFG5FlwHo9wWpkTCktDKUxitSBT+jZH80scm9IaXz6oKCHokb+vV7MB1OYh6FVyDGti2mMLAMUYCDFnLdg5xtMvVAzP6M2wN0ZMofO8PLA+dO8H06Fn4VFGf3Z1pFPLjFqpIJEEyII1RSPClotaHEH13Sd+Wme+SkIrKptBHPWw3AMG2u/h9I08tb6wxyI2joAqmU019Xor/KhJQRAEiArAi2IlAde8BtBsOJ443Zz6GMRQzZnd8zxkYmJnfZ2xQp8i8HrZWHTUrlSHyPdJDVT6I5o98h850JXwOp3dnymg9juzAs6CBrPGpkuUlAqcCmM5fUDPv74NT786BU++PBDvHj3HYREuDm+QMAdfnO2pAMI7yDmHXd3VWkTRbBtFadw0auxjZ4I2kcqRqQMZBJwFEgUSBKktGI53mA93CiF7nCDWgXptCOkBAoR7FI7HahOzrz0OHMfz67EaMewPzJe1H8cDtDVS/qvb4Icz4o/P2KKWNY8XtOUKuUOno5BRDwkhGNCuM1IdwuW44LjccXNuuJmWbBmpb0Fa4ApDLCpapagUsfMo7ZU99Tw5tY3gx8PCtn8fm79+5XSbK0HZHcwOfZ1uhpO79ZwPZD+Gg+V+T70BkyDwNZ+s1qSumPfNuyXC/bzju2043LZUWpR+mDSfkdKDYRSlcJY3wp4DIjMoIfZRDn03rhN7WNnTipz6/t+p7ZxBTdtfu4gh7vQgZGcrJ7RwU+bVOG8aSe8xgdmG4LJhVPqoChQRgw7clgRY0OqKvfe+/ykijVp5qcwUAtBJIJbRGsZgSpiKrp3Zf2aJgGBA6jp9yr4ESxJs0jHtSB8ZcN523HaKs6XisulYduaNTD1htZOVx5jo5lwlX4PFMc8sgEeeiTOzhAoNWAOrMrwHx0Y2O5CPVDsfs/oHVZbxd52xKZZreG/GVtHKsTunYhl7uoAXGqtybCVfWewcGUwIOR16Z55DmbzLbCqtDdSqjeJNdwmq4Wiq5IDLfPxvX0CPnC7NmynK855cDRGIEVVfLw5Zty9WPDOOws+97kVX/iOW3zf97/AcvgS3v/V34JXr1/j8emEp9MZj09POJ02hJiR0wHLcoucjliWIyIFU3FUJpbvhyn/7wR+ngGfN//9+R9mL0He+F0NGoOiptXInA/lLCekqFS3g1HdljxngpQWN1Et3woTPhk/yLNXPd/VpDuxHoGAgRLP+PQsD3wR8ZXj77/PoMe5rz3NKw41rsmlNG0eMo/ZM1zm4gMs499nLXw16JYGZq/NcPCjxrcDkCvwo2c1gNAYI+rnMqWiJ/lJvw7PrATCiIx0B/h6VviRkkaj9116BqVU6SBnr6OJZbEsQCnK6U1JjPamPyeOWCDIAnAg1KBNRmPQiFYyMEFBgU/oYgnPaW8uPaqfMyhMZPZ7gAi/OSKi6W7SIkQjncGLPD1L6DU0ZOPVhQuC9/PR7FOXb/cElN2I2c8PsPGepnWnSfp+zwZ8ALgUuNlpy1x4JNkcEdbGolIrOEREp73RjhYymHY02kyIYAdXjaBxq5BY36C9sc1zp7Lt1QuDdQPq4Kcpza26WEYzEQMrSmUmcFQaB2FBwAGRDhp1I91wHFuwkIIeVjqQO1cpZNQJajjtTCl06NTGyShM819hj0Cs6JrgvZMQxr0YAEd/duUrr+sYgRt3dGwCzDd6Mm5KdRt1jTqjNLjQRCO/XHcw9B7l5YBXH7/GRx9+jG984yPcvHyJkAO+8HnB7SGBcIfP/ggAbkHYkdeKly8Kyl5xPl8QQwIxaU0Ym2MRA3KK0CwjaawgA9IIOR9wsIzPwUDQVirSekFIGXAFx047QR9bEF/dlreHW65urdlBl1yHRmD7sn57RudbHpUlIr9Qh0GYIXWqKWFGyBFpjQiHhHCTEG8zltuMw412W79dVxysqWlMWuOq81spPlSanacCqRiGwE7v+2Mg8cp+0Pjbs+TP9Mu08QAdEQTxN3lkfACo/iXdUzNwNAGJkbWzvWsCQfOeI4Ku9lWM2nk5nXE5bTg/mcLhZcNWdivy1r5hOWn9U4yaYdRsvp4Ls2ZvxJ1rz+Y0z+Zwz7L3ego7mZnt4aIjbLTd1qzXnDBYKlT6QpXeGA5+PGhoGRKemRihX7N4UMTAjwOhQBkxLsixmKJqAxH1zI8DFgCgRpCQNKPDEbWqYiCBtK4nAZQYkQNamzLe5LS3hsNScDzu+PmnDU/nHZdzuaa97WJ99wS1itVrGvXPOtkRNGM1QAu0Psd9oV7N48FjZ87wta/xLLIQHAVA3TQOzhZx2pvSIksJoEgQKKgS89vAlp1ruhdJVWEmlbc2SjpNgMcDLURahxaCtoEg6v2Z3IQjAhJYabm297Gw1vQ0MlXSoTTs015/Dldm6tqXnSyRz01rapqWjHVNON4a+PncAe99/ogf+IEbHI93+NWvfj9+9Wuv8fHHH+H+4REPT094eHzAw9MJh8MNbm/ewd0Lwd1NBMIRS0oIMSPEBSm+Qoo6r1IaDZu/lePbGvy8zexfbSNuF+nKrr1xaJYnGIVHexaklJCtzifHZLU9auy1xmcdjUxN5jOGGRFfOyZv/vKWcxfA5Wr9nD2boViC7XVeCCmGuufHcP612ZlGydnkeNWY2sKaQII7yG76PQLmB18tcAc9vkFMmMwbQWIAK9gm7YBnGPehjd8swsXcjOBG47P9TGTe6j8B/MikvOLGW1weEs8mje6Iz+fFDD375msOLIBel+P/qVzxRB/s5tPOncQkhgXsamHCCExogdT5IrL3OgjwKJTv5e5AeZaHhqSkO8ni73NHm6fMg0BctYDY6DnX0S7/3U2qS/anqOcYQb1ju3dMj90/lq7uFomsRmgIJPjAUugzbCBlcbQ81o/YnPMx1PHVzcnTi9TBmmcQffMeXHe2aOiIilphMvq2Zm6A1vQ0DxyQPig0kxLlDgYJDqBdbEMH2XHofP6DF039Xuimq1E6YukR6OBZ4mlC9ttnwZgu6vFMucu/dG5MqY6K318HVOggZqbQ+fl5xrtveG/YrLcYMenxxw5aNVbsAQ5VzavScDqfcX9/j48+/hgvvvENLMeD9gaDIHxHwHFJUArcZ31EACtAKn3t9nxdFyzrgrwkzdyhAiA0GEU6BQRRRaMoETEtWJYVadHeNWqXZhVLwLPsYwOCXSMm+/MtgBb7GN8L4D9P731bRudb+mwAlALCwaiGLYADa4Y1Eagppz6sCnzCTUa6XZCWbHWvsbMi9Dw0EwpzFKVp/7SaqgpHpGA2I3SZ3zdlrQc2B5xC9Pyk5zDVeO5rpAMnpx/5OdI0z/WG2G/959CNpX/ym7v4nKMrtaHUgrJv2C8bLid1wretYCsVe6nYS7M5EazZZbOm5xgBpC5d6nu312FMYgVN+09p/9PQa2ACfL5ZoJNlyvxoxru2BoaCHq3vGX19GBPVHPNermPnyrh9bttNIkADOkbhrgujVkFNGiAKRcFPrZb5iRVrsoL0HCELQRYVQRCOiCshHYC0AumofdaCtfEwLidyZCwrY7VHTg2lNOxbxbapAti2F2x7QSkVpVbUqgGsNme6IL0voZ79uO8z9JmDEz0wbL6MB6YCAoR5UOnhdXlD1MjXh/dXqq2itIJQAwJDa35Y9FwMoDkYhrAGXc22xxCBTCqYEJTiLDAxICGr67HfCUghIHnA0urRO2iG7bHOYPC9kd0Xne71vApm83LFK+2bnbZVSRHZmh0fDhm3txm3dxkvXi5498sZ734u4eMPIk6PgvNTwPkUcHkCzk+M02PF6amAa0GQghQLIhWE2MC5QVqAJAbiEZz0HGr7dPvGtzX4gQzHwTeK2SSOGM6bRrS/llyqM/ToVDYxg5wylpyxpCFosK4LlmziBimaKlAYn0/oUr6/jguaQIVFnCxrMahgg/crkME9nR5wx9+5vk0nUfNH21GrRoS6c/jWc55hAKZzm34G7FxMlGzyZTvljc249kxPG1zlN8DPlPmZ75PoxuMgzMdn3pb6OF2NCfceOmI0O3RQhil6Ojnl8x2xYrrl0G0wqKqXL4EgRaPD1MwYWrMWBpAzmb69qovFHJByQEzu6Nq5mOFSaWYznM5oI40iB3I1F30MWk0wZRdN4atz5GCW4MR3IQECA5G1jwwzXMJNgn0nLNsDE3ewWlYWTbQnAnIKVgsQVNCBMNH2JjU4uv63np0yr1oEILvv2segM8y76pQHAkRcTQdGLVMUq7Q86hEv5zBrRrPnP+E9LBoaWLQZZ9WhUC64x0EDQwIbDYl7UZJM90IDJFEVgzBkSZmhmb6okqxNCIX1Nf5fcAAjHhG/NkreH2a2YU5hY3zrFTGhzxlYbyoCZhBETmIZFN3+CK4GGSziGkzlcqrrmgGQLU4eRkG/Yqpx8TXYmLGfNzzcP+CjDz5EPqyqKiQFte0IoeGL3wms8TtBWL7Fq/00RwQhIkRtdHs4rDjeHHF3uUHZCrZSEELRvj20W9YmgSlioYRGCYESQsgIFHTu7hv2fUPdtUFqa1Od4RvBluthGyDpsz9+zS1IAEqEcHTwI6AESE2Q0sCBEJaEcJsQbxekFxn5LiMtQ9hARKxxowYdKsGYEiM7cUWTtay1OvxTbUQPjhhViKasNdnJ+tOkiob+Epnmr89h6Dx2gEZGFnI1LHIBhlHzESYgZJ/aIwATxOpfXMqOfd+xnS+4nDZczkUplU3tDFnzV7LAVmWBVB2n1GhQniOZmI4+XOS/9+QKGjCBjP1Oev8pTAE/a3AqFdWaoLamNT/d6e/F9ZN773urVsNrcAaAkEq7Uz8jbbwp1MMcqo6JoL3zWFkRMapwARFht8xPShVL3nUcOWoGnpUCmFdBXCrioSKtBelQEDNjzwUpZeRcsMeCGAJubhqOR8bxIPjg68Dre8FlZ1z2gsu+47Jt2PeL9ghqjOogsAv9qPqaN03TUWwgEwbxGuTOktEwSJ+LIRDAqowY3O8jB4cqzERwsIIrAMQW/K2tolQCgjdQbcMvkmYzTGxp6HwnsqCjCedg0b2lse13MB8CbvN1Ni0xYIkJh5ixxqTqjhZAYaCLLXXfzddjj629Ldjl/2MMB5z7P5JlNlUULOFwXHFzu+Dm9oAXLw545zsO+L53F9QTsJ93SP0VRP4yMsSqZQkLMRYSJD5AakLdBVtoIFxQM2OLrGA4LUhWW3s+fzo48+0NfnBt5Ef9DsbzhFznLIU6IWQTixBMpjOnhCV5bc+Cw7L2n72Bm6q6JWtShange97MPglMvHEFV7Z9fr9HE7uTbE47iwMfpUMIv5n9EdEIeGwNDFOtalbAXY0H3Aq8I/MAEtIRv34vDeBl5+qCCQMI+Xl55MDA0HReXVyhZ36uH1fg5w0gO0VW/T7K/K/jXAYAkv435jF+7JQTGefeB76Dijfn1LIamUwAFAUMbE4mE5lutj6zRVbiMoBPytTV34IXH0IBihZEqj0mAM16+6jggHF7Cb2oUXrFrG7u4vLlagI78HHni6AbGQVRx7tz6sQyQdT3dLXlGnVTYETalwhKvYoewU0ByelvDnoM+Djg0cwPDcoODYdHI05u5ody31gDZpBtg3ZZD4gGF9iyDQ5+PPrlRE/GUBH06OYs9NEEKAJUWJM6stcFpY945oKgmyFZAMWjZi36fCd7ACEKKDQIVTBrc1OGgQcEsIEImoDC9Uw3Wdie+5xvilimb8zrK3PRp605evOuS+iFQs+C2z2jFNxZfA6GpnsGKKhx99Cd0d6wE541HDQ6GMWVrUXJvu94fHhAWhdQTihcu7DHuias64Lv+NyKQO/8JgCgACCBQkJeMpZ1xeFwwPF4g/22IGy7QmoyWdfASGEBhwyJGRwWiGhkg5l6gfm+F5QyFLdUjWvYa5WEhfkHnrfx+zi97psc7kxJXyRve4288Z5vdlAkhFXBjzS2Rds0elwI4RARjhnxNiMdM9JhQYxpgB+2Wgbove3YWtDtm5uWQAZ+iEZzxz6t5hMdo6MZr7FO+l5o6Gdk5dGBu4Kt8dz/5sDem45bs04H+GS0K3rWjPVatoWuFlApu2Z8njZs5x3bprLpzfq0BdIaH7Vluu81VtvawggWBVPkjOQ0Sf8aBUCDvuxF+Rb0dfvGnulxhofLXBv1zUWQALgldSujSzjAJYF600/PKgV359XWBYdpzvCw1zcmlAqUyAiVgaBhn1L0e2OsSEnrv4hVRCkwa03IIkhrRTpUxENDXhmUGClWpFixp4wYKmKIuLlhHI965h99oCqsZWvY94q9FJSyodRdwU818ONKuH7FttF6bbNntwADP+AewPC5R2RABHaPhDTLFhXk6niTBhjtHgVLn/Q9GWT3Cihd4c7pjtJ7LkUMEaFAhAgVyQjBBJIsGFdF44aqZKfrvQcE7d6mEJFDwhIilpCwhKyNTyEKlOEqj16qoGDW9B9s6yF3pm0EZj9bIAztbwZoAJioZ33Uzmqg6eZ2wd3LFV/4PxccKeHpCdgvBVLuEfgJSd5BAiNTQ8KOBQUBCWgJdSNsaBApKEGQoiBFRoqs2TAA5/P/RlLXwxjOjvK0kZA5GobM3+iB0COVagRTSqND9brisGgzpsO6WqYndapbNC7l7HwD1zGi58cbKfyrU5HpZ7sSmbbKnrG4fris85z1UcpXs6K5onr0PfOz66NY5qc1S7MbALJIl2avCKM4fQY6M3CQK9DjvQ6k/86WRvVan0mKur1Z78PN087Xo9r7ANj4sDtbE1jszzKPl/0LPztvGBDyceuOIl3dKEv8YDkY1UmgvNloVDWyuptI6ruazi8DyAshLYSc9bnX7ChuGecKcyR8z+UhRaA0B09jU+fyRgM/sIJTCorG2KGE3oA+LEKiWQ1YQW3zzA+6EYbR7XzLj6TXCQQIqeiCZ3008xORwgA+yTdzmkUcaBToW30JyO4fNVRqCFVPt9n5ijsLE/gxV9GioDLGxhwS75ek2Z/Rgfuqn5RwV7Sx/muo0gkhYKMGkoGeQIJoN8ivJVqtFjOpWiGoz3+NXDM088OQWqFbV0RA0iJNIoSpripYJFaPOl2tz2b/b1aksnk7v5J0k5ppkICCCiGASd6wP+qYDoDT632sQLZH0slt54ScpmbQ0rOY46t9vLxPlTQGV8F+ueDx/gEMYK8F908PaNJAQbAsEesh43BzwMtDAOEdfLZblEryghT8HNYVN8cjyq62kGKC00orA1QZyMrFobQA6YDaCHWv2mivNpS9omwbSlHHV3n6ngmbxtrulfSbNv69W643wAr1v3f/91sASZ+Ijp5/eiKEowGZRirqUAFJQEgB4caAz01GPmYsa0bKVq+Dkc243pe4sxIgau/dmiv4caEU6uPQXztWuVFGjTEwfb7/uwItnY+akTX2hjVc9d+pC7NYxml+mDIr9dcaQIo09gEKBjodFAR4kKxuBdul4HLasG8Fl710yjWgTnEkGNVbndwmDUAzmrDRaEl6LWWKQXsERkeN6N+rgjttCoBaAb+YfLI9WquDWs4qcNCvYNrqYH/1IIu47L717gk9oESABETAw2sTy0P31NYCSiXsSUBVsyxEhNJpbwVrDhDRLFeIov2hVhWNiJ7xWStSrqCdUV5W5FSxpIY9VMQguLlpuLkRPDwIXt+LNhbfGra9Ytt37PuGvVxQWkNpjGpjIN4MMMyD4AFm323VT2kYAWRzh9DraQkg2w894DR8S7bnBmG3ltMe7/erCRAELnHtPYgctEYKvTdWsr09BBU8ylGQsgapamNtrNy0ron7d7mxAJYQOuhZY8YaF1Q07Nw6O6fJ5EN7tAL0lrlic7GDxWHzxV5MUBMaY0DKKqhyXBccjwtu7xa8/OKKHwgLHl9lnB8F5bKD6z0i/z9I8n8h411kMBYqKFQ1s1gTygWqHFo2RGoGeipiKAgGfmr53wj8AJOZnx2lK4d4TNrn7xsYibrR9Kal67LisB5wczzgsB6wpNQ5k9GMpuVfAHPUxm4m47ym73g7tWw6J5+Ez5+B6w1ALJrKjBCoK6f1CKJRyQIzGlcQYKBHMz+1jSJwz/zMZ0zz/ybgMzY5y6bAv3cGP2KFoOh1N+wRwv67Z3/mOg0FPl5kCVDPqPaid5nB1RjrGSZNA3btVMgARTP4ceBI3cpdzxVhXdR5NTAggAQCB6CB0MgKzAPM81MHPECbaHYAtFr0Zniv/VnMgYZdtzvTzvAQHwPAojpD5hK9aW2EOgL+Du5ROcF1JBFmfHvtkoVr/b3a30f6xqvWTbnDyUFP8o1axRq0B5ACoDA/MNeQuGIQgZh79FALQjXC6fS2LsZxBQfM2MoAaPMcYXg9zzXwkSma5zKeTZT65j1NmHyD5AF8nPYhXhyLHkVuTIiYgH//LltP0tCEEJpSpaIBK+/LRWgIJjE75oJSRDzeSDDJ6OvZffW7b9sEOL9Q67/8vhmo7cp507sH8MHbMz5XACh0Klv/HHOAENDXlH+tg151DtRW1do0t/XwhK01PG0XrA/3CImUE/7iiLuXt3j57kvtAp5WfLYCCFrxS1D55nVdcDweUMqOWncIqMsX56LR67AsCHlFWI4Iyw3KLjjLBXVXVcCyK/VJm6RWU+bygBRf37j5mBzH35RjtpGfcFAixFUXObPNzwpIUQXMcIhIx4R8SEhrQlpV2CBYAZMIjLrsDtzI4De2xpJVnwlG76JBhRv7iQW8ukiNWLaejVbHfb8T22vHPA3mbBlzw+p1o9fhxohsVDsFFdFAkLWkcBqeAaYQtJmr2ksCroQZMIILAPa9KV1y0zqTrVT0t/U1FTToAkETxl53MDeL4g9hmRwJWRKAaAGoCKcAwoIUEECYOq3bi/grVxQu2HnHXjYTaRGgy1p7fynqO0foFtTNvG5iQtanDMmCuwp0xeT5tcYIAE3AlIFalc69VwFIqyiJtC4KAFKsyKacGoMgMdAS0Kx5Zlor4loRnyryVyrogbF/viJ9qSKHgoSEQILDseFxZfzyzzK2HdiKWHsJVXHcio5BZVZVVVbAMZx0Gsk78d13lJ/yBN7ZSMue+QrOI7b74eM2wA86kFcgwmZ+hz/XrPhYKmu9jrD18RHr08RIISFHgUgCIiFa0z9XoFwWBcd7FYTadCODfaebHLueHCJyiFhiwhozlpBBQmhkoTaj4iFMfp+j5KDzzefesC1A36UmX7svk0BD4jpnrAcFPzc3K77nSysuTyseHxacT0C5VEg5a10P/hsS/t9IeIFMF2TaNIjYoorntAbsG8h6QcVQEUKCN8kmlG9q754f3/bgB3CwM0X5zUkOzo/0fzDHFDwKw5nULIQQkY3mdlwPmvk5KPA5rqspuY3Gjp0HO+n+D9WwuRZlnN8nnn9/nXsTGJ/lEd7+PLku3fGd6Sq2KRm3lAVo1LDtG7ZywbYrJ3bbLyhlH3U/33SjnOHF2FT9dJ3WNihF1sPHNqwZ/MzAZwAgb3o6wM/zah7vESSQDrL8X9/M/kxn3efE9IpeLyVXY+4Wcs4QsvHkmr+CjDhggIciaTEvrC4lBusFJkhLQFoIKZtaWyDAHP7eA8CetVs0IRiN1mlumtXwyP8oPO1Baobp+AtE+9RptIShmYDeVdTS/tL8xKEvYqXRBTVaMaoqETjaxYplkPiKw+9OcTDFN1WsUyAUMIr/o202k7vdf76Owpq9ZkYzD6LPA3eiQXDVMdIW0vAmSBIsC+bPthbgGhEBnV6lwypGXwCCCGLU7Y6IEaHARxt4GsgKYlHLsfl3ZpkvSt3v4NLxOl/mwmLfWBsCrMGgVINtun3N09iH3+6UuicG7saqNHCLtxz+xzdSzp+81qk/FOh0Jb/5bWaLNHE6IvUq0WsAFV5XNEVAAQgLSingC6GCsbeC+/sHvH59j1ev7vHq1Wt8/OoVjocbLC/vEOnu7df26zoCgAXACooHrIeCY6nWt6kBlCCkPSRACXtlIK6QuIJShsSESkUb4ZaC7XLG6XTC+XTCdtmwb5vVUjbNdPGgz4w94DmUnYNN419IaHQX8L+9ZSB+I+BJKqNtZtnY7AeLY0TtDWJZkC644fbeHLnG6txXVqXLyiZx3ZQGWIs2/iRgUp1yGXvfM6+BT98fhI1CxjqezRgDmBx2W+shqKhCSq7MqjLdKXiGOtrznBmKU7YoXGWLyAxYlwmmOaCgM7q6qMFesNeGvTS1hTSaQPs9Use36fg0VfTSLLE+Vw5Gz0pKRZKIuReS78DNVOCaqBBCVw5rBXvdUeoOtiae1MnCo7lusLVpDMxhO3xamu0NAMBa/dls79V9Gj3Y2nj0OUtLQGkFWw1YFqV6EwHNovGtLahVC9IZCYJkwFJ7IoYUEGICsQCvCLIz6J2EmCKwagY5kPb3+fi/M7YnoFaAmxf9B6My6ucEatbrTsBKEQCIzarJ1TKcfQ2CbQrCCBIN+oUJPJo1Y5+/GnAkCojGSkikIKoX1TQyn1NvgI53AzP1wFAzv4mZEcBganptIBXhYYCYQBJGfW1QwSTNCsHEdWjMGyEsS8KSkwlz6aNZcWynTKrzodch3CnS6kOESRdJr/nK93IAHdAzVDkF5GzKyEvGYV2wLhlrjngpStMr0lBAqCQoJKhB0MIFEp9A8QsIYUWMKyBsLT2ciK4sikj6CCErOAQgkj4V/Pm2Bz9X2RH9wxWYIJgzSOqQaDGwORsEkBW+qdBBxroecFiPOKwHHBaXtNYO1oD04Cpk2shk+t2B2LNzFI88vMVRfw5+BsiYru9qoQ6aSrD0aAij4Rigi49rVUKxEC77GdumoMcBUCnWBJLN9aYxma+33Qk5eDZhilp6CpynBazMKgM3ja8bmno0rzlI8n4Gno0ZBAj3Kz3D5Gnaq5qfeUzttGn2HGRckfsgwl7kN4+5v278xsZ7K6zF84BybdXHI3OuRTXtKXQF6Q5+rNYnpdB3HWZ3Itxvph5hcRKU2L3uFEJTZOEGSBNwUuoAJUGIjJC0dshYFVpnIDQ56Kz/IKbj1gs6LeLrQC4HpJw06+T9oowV2alM7tJO/HA3fDEO40zQbJmPvEzzp2ccTA4zuFMFqIqbbcJkgNTeZLQU1QCnECFh/Dx3HydS+krHSEHHS4GaKy353HGxB0ZkRhA24IPegFa/XpwJM2aToEf3yO4l9bc4kHaQrdE+GPAheGf1UWw7P3ucViVubT64bRGdY2xjyf0cPwEI2Sn7pvhNXgJglrMNfcvXacTgYDV4/rtdf2++6FbK/MRggZoAzbgJswZdSkAj4HzZem+H+4cnvH79iJd3J7y83RDTcHV/4wcBWKF9f3bkVcGP9oRqEEqQoP0jQlxwKQ1MCRURDcmkuxm1FJRtw/l8xtPjkwKg81nBz17ALnzAngWaqFs6ij6adlp0dc8IAIIXmT/7+3OzPKktPd9j5iDO24JbUhjtNFFFmLQuENRVGf29o2ZTrgJczbP9bvttDfe/saBVvZIQjLIbALYoguW97X1yVb/aacndVnuW1WizQrBGJTrPqqBFrb0LkRF3NhDESLFp5NxAj1LSBk3OVbAUGDn102SCHfzMkxpArYxSWwc+pTalBgePuqi75pRbZs3UNGmAVKOjNQBVwY/rTgojtXjFQPL76/U91Z9N1KB02puqwpGbTT9nUcf+OdgR55F3X0MNGkEs8u+AVtX8SpXe4NvvMVdBzEA8EPIOpFWQkhYySdsAAKXeYNtv9UICAFJgpYgsAJT0Hr9HwPcm0C8JJKlNjymAVkaKAbwL7t8XcNFzYlbgE2JCSAlpWZFEgFZ1s7Rspjb29Holt1MeHHRrPgCuUK/wgWf9HQZ1X8xp2uKXYfNG9CKlasZJgu7Z3T+xNdvZCb4Pw6jbwhAOtj83ZQskA3rWgyf4JgDpU7I3Eba5TUBvx6LZ0KTiXBx17+EAbgFc9ByvmrXB7LaoLzWF+yfjo1CELKIYgrJBcspYUsKaFfgc1gWHHJGDqtS12MCpoiWgpoCaCCUF1ChoCeCUgJy0dQAE2kfKArZkwY20IEeVV48x2Rw74PIp1K6/vcGPzzrgCnT0ue32cULo3A2KRZCs4DvGhCVnBT2W8VHwowBopOk9MzGBnwFXxs9+Pn2S+nldb0LzZngNdIazP5wdm+CIfaLHELWWwFP2toybdXCWqpvSZbvgsp9x2c7YtjO2/YJaN9SmaXjIdbZqPr/nU34e/l6L4w+PYnQ6xAxwRjZIRHokbzSL9MyQfWYfA1x9h3+vn9FzdT1vlglYtOK5Q+ifwePzfYCvc04j81OqbSYC1GYAyDYXsjqeyKTRLGWgIVrGxzM/HovT6L1+VgdCTD0LpBQD3TSjFdMnJuXlJ0CsaWpIyveNyaLuALiJKjfJAD/92kRpWU6HEIom6QwgKC0lxQDkiODOR6UuIKC1SoMW1cfaOcqJuvJhgNPe3CHT4IPYAu2ZIwECB4QgSqsQUQEJu4ddztu/1yR2KUZYEyUgaL8JeNTWhAWiUWzIHaIAaxiL3leJxSWsBdHmH4Q1AulOQZcO1yCKJsqkm5/OLmO1J8z6/eIAnNClVSEayQs2qmw0O2BkdGYboVYqah1Y5GsHxlekiN5Aul4HugfbK0P/S88Gum80evwEG0OY4+bAZVrwhMkGKoyLotmzXu9g508mta3F02POMAukMoh2ABGX8wWn0wlPDyfc3z/g1evX+Nw772F7d8chNeAzAz+A5tEOAAoQKpZjw6Fp9odCQogJOWXEfMBaKrZK2BuwVYArIK2h7Dsulw3npxMeHx9xejrjcr5g3zYUV/uy7E/z7I8XW/u+5Fm+ydh4xLbTHt/EK28cM2wKFnQhoi7sAmCgoWeHlAZ+8lipZnkkqv0is2NimTwVrZAevKpN0KL0rE/fB3jsCQ6OmtnzwIIQ1HkM7EDQxqWD6SnZLON3t/8iMEEJm4dGA0NgBEq6lmPUQEZmxNiUqhcDUtLIfySNgEQPHna1V9tPTVXLm0n3nkRuiwyRqHIXYy/ah6W2hsQBSCY+Q7omlWpripIs2mRTKrSfmMpRxxTQOBuFLWOJqd/ZoYOpDVUr1+m5oPcEElV3dbEFD1toM28M3xsATBBHjCus+8/zQIOO914EZdc+Z2VvCjqagh6uek1hEYSjIK2MuDSEnHVv5IIEoLQDtnrXwVyIrPPMbC9DsxpgAX+hAe9oII5CQMhqs3NlPP4i42FnlN0CgQLNTlBESAvSuiIzayuIRqb06r6Kitt0h6ajQMsjdlqABw4MVJsISjCwpAJFbABOP0/LfiNiEAMerKJIFtticiKdzXNf3E6N9clvPzqwFBFILDrWyV7SDO14XZG6HQACEo16tkQa0M8pI6WMmBIoZISgNG6AzO9yFV1lREnQvdd3G6I47ToDxBFU1EH3Rl0/OWnj0XXJOKxZhQ6WBWtKuCH9vBIKOAW0JKgxoyZGiYw9N7T4DXB8FxIzKC8gFiQDPUS65+e4IqcFKS8K6qyR8nUI6dc+vr3Bjx1XQEP6H3pgrJt+A0PTzEcLmvkJU+bneDjgsEy9IJasmxI3myxt+BwTAseckfDsxeSk9/Ocz2eCFd1P7YBngDn/OVDU6Bxp8WiI1jRuor/p4nH+tVIQLtsFl+0yZX8uqvw21f1Q323p2X7pphcdOMxD7dc5RwZd1rGnxidg0ylwporjKm/ze91YDeBzDbRmUDmizQ50aIqaTcnqHkEzo8Lj8zDdpxnhtaa/lzaiqiwmGKqeYw9eQYL2bTGnN2YFFN6kVASa+ZkieWLAhxvZRu51KwDLRDloBIlQakrVzE/Mgmi1M6kDZ6NcsRsDGobVr1sMGHvEiTzzo9r8lJN+f4WxnjU6OxxlnxG+QYSewengx6Ke7nuLUxZFRordMznBHG0bW82iTJuQR2GnzE/P9EwP6o8wRW1ndpxYdspAkIGYIGIc4qlHFvn80ClBFrFTsGf0OcFQkJbhVPizm5mexxSnXYzMDybBA8909oJpUdCmVJ/Qa536YScn5CEPe9+zGN31nkC4muDPjg6IHKy4hHq/BluPNDIZ7JF7R7finzHWYv8c0doHbvo+4Ybz+YKnpzMenp5wf/+I168f8Ph4wmXb8M4tf+K5/vqOAAU/FYSKmBuOR83ShFgRUkZeVqSl4LwVpI1BuxaVl8rg1lBLwX7ZcD5p5uf8dMa27Zr5sdof8R5TsxgNALvL+hONMZ/c0m99C6dxz/vhwJZmG/4J4Kcy+GTghwhhCUBWPi3F8Z5ZPKbXdbI3Bg49+9Ntl3gwS+1nq2Z7iMBh0Gd1orjtHvtlD0rNn+sgyGhX0vTzpQq4mDNGACQgBNbrSaw2KbN1m/e6SA+uDFW4GGO3X8GovzEHpdJFl8629wUPMOqjlmasBV0H7jB73aQ73c0yP2y1uI1V4p3bBdQCamooHFFaxRbTCBaIMVhEgVPxRpmm3Kqbypw7QBd5GDLf03CbE+/3CQ1odd5Tx4MZ2DfGfm4o54ryWNEu1q+vKgASFlAW0LEhHhrCsYKWYsCr4N0MlHrEXm7t3BgBDdFqNxA1ACfGJxcACOqcJgLiK0E8CfLXBf/9NaPuMgAYE0CarY05I+YVsTFQlRKmIEMFBcBjr9d1OXpN9QlkAheu+tf/I+oZEK8F0sHzmmEFzDlq/VaA1gVzEA2CQOdvhfsPdh64zgp3X8pqdtWXI0g0/6B5zZcDNhn7EYx5ESNyTEghYolT5iclzXpSVIU/8ztaVXDmgj1sQxFAkBDg7KjrHlv6cy8LDi4aZorJORkA0szPmhM+Hwh3JDiFhpZKz/yUGFGSoERGSzskAUgZlBYNmFiLAb3PGUtakfOKtF6wpm8gxq/oOuH/8VY790nHtz34ucqWuGPeQYUZ2NkLoGvqgUf29cZlAzsHbWSaVdY6JwU/tZmLIYzqYSlHQZMD3VVppk1vVkm7BkDD8RmnO71O1Jl2EQAausFGNYpd0tMNtPKxm3aertrw67Kfcdkv/XnfNzAXjUCxqcHQhAH6MY2h+O/oTs586WNjdAU3seLX8dzBj3GIh+qb9PeMGqKJbtHv7SeDHwA9K6HMJBopYXgQnK7ATxdP6PcMV4PQMz88/s59OMgkpHVMgijY8Xvpstb+EIYW1bM7ytKBT/MoFXvURbNCQSa6W0RXY/IobKca2aY7710uUekGdayPEY1mjysa7Y1SQMgJAqMqo2onbgkT+DHQM4+31+6k2Mf6CvxYDkPtqGUDgvK1tTZPsz9BGMS+YVOPtvaC+4nyNup9JvAz96UJPvZXGElBj9HfBLDolUXm2OajOfhDCsTBtRh3Fj3j49OQgt4KAukm3tPMwyboNqIeB5EVabkt8hvHwzlmEQXUwefom2CA7K9uGX6jcKFv9v6w64fNHVW21rFhE4zw9dRVI4Fp7RGCS/ba67RmQSWSt8uO8/mC09MZj0+PeHh4xNPpjMtWIAa6P9sjoWd/0BDXhhthxNQQ84K8F6RckZYdCAVNduwFgOxgZq312JX2dnp6wvl0Qdkr6rajFmuu22X7eQRYrhzLabw7P0nvYPBX0DeDqbjac349BzdG2y1qarz5EJqmRa+iRehgpAeNjO7YbaGXOMD3AowgWNV5SxS0D1ogiIOfudC6zyO8YaNZdKm4w85VHXYuAt4s4AMBOHQHP2QGZQU/lIL24PK1CSjNj7zeJFp/EgM8S0BcAmKOqq4VbR30GqABxFrlifKJnnWOtkcOtUkxINQ6eKl1Q2sb0AitVcSaUFJGjAnGVuvBEGFRwaJau6ob19Yztea7W/BDwVfP4xjS1loeKBAwUCkVmlnw9NA067gKtlPDfl+xvy7YXhe0s2fIpz0oVNCSQLmA1gha1LWMueHd36bgZ9tVvCTnghQKIBVEpddTanuGaMFDQqAGPDDCLzDyqeH9wrhUzfq0ouOuzDMCYkRMGWlZkLgBAcgFgNVcqtKKBrqaRRc12Bv6fTVLNflTnvEJPZhIIIi0iVGhN2mAH8KaAxKRniNpH8AGFcmBCKr5NX1hkaB3C8C8Dty2OvAJ3Z7M6979Haedp6TgJ8eIxTIxKUXLanppRICI9mlq1S7DNjMOanNj0ABKl9e2a2ZH0tC+PEL23UYhza6anLMCoCVjSbontyCQWNWHyYSWI1pilCRGe2uQHEA5IJRs9M2EiKzPIWPJK5Zlx7L8HNblEcma5+5l++YG79nxbQ1+nEcLDKM7wA+GJJ8h1h417dZW4NEQTw+rqIFHgpwnmQCo7O0MnZhVtx3mOEHcaNuGp6Tla9Azgx3B1efpWXVXozt9weQ1lV6UEGNGiAkp6LOm+dVI1lZRmbGVgr3suJQd277jdD7jfDlj27cudDCUqRwA+InYOXXQ9fZDnv3skX0HLSrFyKa3L6aENGV3eIzTVeanj59H/pzz7RGSa5AicOdf76mm+S1C3x05GOVRrcygaej96lfxDPz4j9su85+HG+MOnTswMiLxelqDXiBMfcNRNTwySoQaRrZ6IGrowgqBPOJJ/cGNkJopjhldMFY2R9PnOvWTFPtZ7EO5iUbtjC4BhmU/VKKS8pD8JdCU3bAUN8Lwi+y+aKaR0BrbPkIGKAaPGh0oDlqIg1QYDUam4ITW+wyBA3LemmV3QC7NOh7BUE2QMGgrBnr0kvScupPV55KNk2ffLNvWqklaWyPT3gV7cvzYm8sJgTmMjVxGBqZbjg5gpI/hWG/X64qmf32+Ct8GCKT/fZ6o9OaHPfuc7nqT13SNYzhP4zO6OldfN9O597F8y0lffeN0sW7nXIWrq2qq5O5vzpGhAIgBYqQjEFIFpYqYCihWICTs9YKtaPNale6GOX2atXI1M27VFM+aZrKthYCIgyDTI3y+BeFqaD/j45sDI6WRWgQ5EChp8MOfQw6Ia0Rc9JGWhGXNOBwybo4rjkvGIader9nE7H1TAKIKfxolGAIgY44A6Ovedo8Brtw+WyBC+t5hgTO3YZYB6IiftbbDUAdCs8BBEHCk0frCrtkGwup/0aenr1KyPcJNTGcr0gB4HtQTVjqyj7xnPYOzNMxBZgdPohmgWoqeQ/Jrn8BjU+Gi3hTc5hzzRHGLc6BH6YpVGEHZgErRsjEPg2Wo2ddKqu5nwbc+AKRAsRXB/lhx/mjD/tGO/fWOtrWewWKj/nl6PZCp5VmQNh8A/DaB8rUXu0Vk+1wAtwEmdVxDvw+RBOkjRtoaaiv4uDZspWErjMvOOJeKrZxQpQABiCliORx03yxRKdJVs0I17Ci1gFEhAq27CtYmAgp8lVplDXhtw+j7KI3AutP5ubGJmzSlUpoQlgMRSqrUxqzzvnFDYEJgAjHrg2AUa3QfJZqwTrA9UJyKFwzoGMsnEBDtXuo8s9570dgNYQgP6ZBOzvG4074bY0hkD99YsZ3tkX3DGqkF335dxTE58KfxcyD1O6Qylgfg8EXCsREKM2oDSiXkEtBWrZkm0bkREEFCiCEjUla/lxKWlJDzzyLnC5YsiFoAhZi+ub17fnx7gx9zqAFzlfzauw/rdQNQ5xjUbxb6erOJZ2/tJKlJSQ0hdo5/sMUQp03ciy89Ojac9zYc9jmz4K5Qn4fST4reeI69QFP5yQrGFPwkhKCqKeqEaWOz0iou+45t33DeNpz3HZfLGZftgr3sWiTJFRCXY7UoDvzc6K3eC9ls76lz94p9Tfn1W+bHZU9rayjV6W1TxqVHEJ0S18bPDlAmDrk72tfgZ3Yqje9OUMoBpsXvBsBQSW+mytcy3zpPxrU7+NuLXhtgtsE+ULoF8PeQzaMJ+ACmpIQBcsQkl+ffoWCI7H3BgVz/rGDZI908om1ujQWhotPHZoe2y13PIgtmuDXL0UBNDW4mAkJAyMqZJxl0Q4LuyL4ZDL/dnRRVaask2oMoUI9E9unkqalAPQqsf1fnpC9eCHyFSbC1GKjX9Ujwxq5OyKLuQLs6E3e+vhcvT7Yb0gGOTyM2sKJUAM1IcA1a22CglAUDCPn73PYAEAn6Oc7+cptwtYHMnp8bAD0xfo56nj9f//jskCuHTackqXqPbT7+vfNnmJXpWWPP9Hi9gM8jPVXpTryDuX7/MD5/ZBlHsGc4Vb4OBxU1mI1LVm+z5AXZMu6fbb3PfESo8pvTDwUhVxxcPpUKRAjnCyOlpv0kZrRitg6uRNZFW6b+KswWYDJvdoKx0tUCacKnnwUMurZbmO7BqJPUVwUTOAGgDutiEdesDmxIagvSEpGXhGVNOBwyjuuK2zUrlz9nMDdUq28qjVFaADNQGyMGrdnqu4uYfQau9us+fx1IPAM/aB6sclAg47WN0bnE9oFO/75aQzbhyKL8Tu3sGR8DDyGRZnpsPXySS9WpSmKBEBkrrFPkyKi2ojYpSgAH7x1k+1+r8MALJbMbLaha3l5Rij7XTWXxXUZdoH1lnJ4Xs4I+r+mTqHZ5ZgSQT0PWPYnZwY8Ge/oaNaTXdsH+ULC/3rHfb7g8XbCXigtXlNawM2NjUwzswMVrj4HDTcBvxy0g3wPh79Xz4p8fAcEGsIkGUXCQKaAIJBbErzeEVvHzXPCKK0pVZb1t175Ke72g8Q4QI+SIZV1194gRVDSA7XRooYAmwfbYontdcPBjNSW2N6ncedT1w+5n6Dp2Cn+z2j6uTWnAySSXvbVAsHSJABIB5gBqTR8Mrc0F4L2jiAUtaA86bRBugjyEMTZBVe2C12aKfgUHIEDl3QOFqc+e13b2TanbCK/LHY2rDSK5Gbqibk++qh8mHeh7R7BAfaRgjVrdH9ExfFUI5/cFx+8m1BvC3gS1AXslLHtAqwHUCBUAsSk4IqjAARl1z2TAY2zW6FQ0OQBYXfW3fnzbg5/aPKQEDDhDeLvFsklpCwxEVz1DSJyfbgugRyRjdwgioKPWgn2iLgjPknjkSiMjzXjwmKKl/q5r8EO9qE6jJiI0ehB4Biok62eQe0ZKuwurQ9aaptS3UnDZLjhtF5wuF5y2DdvljLJv2Pa9Z37UAlrbMnPMrl1/O9e3jCX54oArP9nmJJ7ZYLTKKJVRCqNYUej8Ggc+c18MzwTphjKyUleZH5k29z6Itu34hmWgxIGKF97DMzW2azmwen7Vvow8YrnvuvECMGUUdezFayQJcA6HvzfyoCMF+05uHvkaGYMGz/5oZoHYDJeB98DKvVXVmAAOpA0DGxBNgcfrWdzw6vUGc9KG3fOflTanjhoJsEhQycje98Kod1BNMhLRdBU8S+jqZiqoEZhB1uVdgqJC7wvja04HVovgYQIkMZB1/PaxDwBiF50RA1IStNeBOPgJpshDJkZNKrntEUiW0UwxmGwvTIhCpnsB+NzS6Bdz6MW8quZEpmzk2R67d7ZqfX9wJ8hBKovRCpxK0K3F9XydDwtKXzlsfegmYOufhOnngDA2q4n/JnF8/nM3Tk9NvySYOpAOYZjmtNtSQ4umTjc7lmyoes6iursAW7v6hZ4FHNenUXHrv5Iycl6wLCvy4io+0wV85seCQdYKIBSEWLAeVEKVJWC9MJZzVWcqjhqBuWEzWy8Vt12ttWcOvHl65gyABl4UwugDQsMKfZLD/a0cPFGwgNlWXh8UrM4HACIhHIKtk4CwWOYnWbPCQ8Z6yLg5LLg7ZNyuK44HBT+taQ+n1hpSa4gloGVBrQ1btJoimZ7YJD7I7ZH0uTJqenhkzVgplrD5JRUjcMZidGFBiPrZBFGZSVL7zBYFhzmkgw1gIC+OesUQvVYwDLs1uRMeCGCfOWz1n6z30QMiDrK0QfXkFMaIysHowAp8Wqn6+UEDJ7EFSCjYt4JyLtged5T7HfW+AEFA2XyYBFAG0o32YwK01ghBtF1AbXbu3dHQzI/vY0yQ6lkffVY/oC9+tItguy/YX2+4PJ7x+nzGfd1xaQWFK3beUKUMh9nnnD3fUgbwfWA+QMTU3uT/gvAvgPkJrRlQTJZ7SIwQGalUxJ/X5xMXPPCOnQv2pj7Mpew4bzu2vaJJAYiRcsR6WEAUsCdVf9tLAUIG6AJBQJWAyqz21ABOjMmAivp6HvjWjKVuyEJtMFCsvkuaKM2VG5YYrdY2Itj0QyTNXpB6jo0bqAQQE6TYUAfNAIEFxGoXvAG3+qRGXSSxelefr9nmDEzoRC8hQX2DaA12FYu6PXDpDKvhDfqZMZjfAduDYPsYNNCt65NAdoJi4jkebvN9I4KQQVqnZfuV1ncJpAGXAry+CL7r5wT85YD9RoVTthKQ9wSpAUVUtKEgoMaERISYtUdRjAk5fQOB/iciKkIU3dJt3sX8VjP3ice3OfhRB9sPrxFQP97DHc98jTABoDn8JL52afxHph1PQ3ZSJ6IaUBEGcdOFYojZKUAeVe8O/OQ0DsfAv9qK1noEwDjy8MxPQoqm2DFR8byAsxL3SH5tTelulvV5upzxdD6j7NrITxv6VV2ItgjMjRvOk4/b9R4Kp5X1qIBfwLxpmwPAU8+HWlUGtBo32vdmFzxgCwOx1QuMrIz9u0UO/PNnGuE1gHRnUYz2ZpFwgmWD7NR9ozXn/Tn4GRmC4TjsRVPdALQHhq724eRb9GOcg4IscmoVTXSqZxQ4pVNpszcHP/18RRMemvEJJhVLiM3oXE0QqnhSRCM+NseD3ScvRFYgREajE3XaxBTXiJA880MZkaWDEhLL2JHK8vn9AUb2jIlM5VsACT2VHsi6YXdeia8fc/pE1X7II1IS+3wMdh+9h48YCOIQwBS6s6irFiPzE+27rdaK5swPyTRPzY44MBSnFWrmp7agvUu81kD8XtlMMVvjkXttYGoZJM/6wL9DMOixbgH6B/X19mliV7ND5mEL6X+xv4ldYMDVHPd3uk3r4+dzGK4W5dfmzp2DObdj12f8fI2yXP1zD04EWLCeqGe0U/LMjysUJfzmZX5gV73azwHqOiSAEvJSsDarT0hZ+fI+HmZ7OkXLM6lTBkjcaffsOmtRMns0Vwfjatye3/vfCAACxn3oP199ogCJQKtnfgwIhWiZH+tflqLVvUQsS8KaEw5ZefzHdcGyZpP/bqi1IlRd26VFXEyZ0dfJG1domdeR2RdTcpvobl5T4vPO6GW9F1CDZX6Cja1HEJ7NTAMxrjIJBz5hgJ6e+XFpa7Pr88rp26MHPeTNh79DA1A234NScbUZNPVz9CaXWjcTdFGwBnTKqWq25Rsbyocb6sMOSoSQyTJ1hHBDWs/ixfhBg2VKdZNr3wMz+JkK6A38oNpaIwf5AfUsqE8V5VzwtG/4cD/jqZ2xtwsq76h8QeULpAu32Pd6qUFeAXwfNMVTbS4ewPIDoPb/MxEMQmAGQtPgHQPxF4H0wDgx4xe5Ym8VlTeUumGvF1zKBeftgq0wqtHKYo5Y1ghQBRUNFlNIIEoAlL4cmyCUZoyQAPLMkIvodLqC7iXsexw84+YU7ynz05qy+kSLPol4KPCS2J6srA8AQPMGp+qYEAUIse5RDPUF3SecaJYaBzRluxC11obQ+wIGApKLeLj/4J8F6futBrzd5rvfEixAq3VFPeX01nDbtJ3T+IxoQTTN11D3t8j8jVoEXyFB/JDxeQRcvizYDsBlIyyXAFnVn1VAE3pD4pwTVqtdyvmrICkgsR584r6+ZrI/zfFtDn4w6mqgvULG/aJurdjQqToXZE16CT3jA3Xa3Eg45WrosNsNlA4TxrN4DYs3jDLed6c+tGeLB+YEybCmNkkDwdQ11IB787aYsuqaZ9uEY7RMkFYhVdaO2nut2ErBebvgfDnjdLng6XzG0+mEUnaNMvEOrgXSzNA8o6w4OJv/1H+do4kYiw4TMBnj5pQ3jQqW0lCKZ3IcADhlUJ1CmcEPJvBzle2ZfnYnxM7bN6quSGYAMhg9T2txxusHbcFrWQauc+U7v+K99ECalgl4AWA0gOIONshStpolCCZ1GkhGmp+pO4ZtfkABECCg5jWYJnpA1iODyDIzBnyiB62U+9qzHYEQCeh1Pr4Wpkir9kuqGqGJERwACREUk0WfDPywSj/rPVcDw2iDxw+LNls5PwBLgRtlTnxwuwUHYFlXES14hf67vkyjXd74VWluGkHlqaGpBhxsE8EAoE4zCab25uBnOCxKZaPma97AJZT21pplUas20quNOv3P75mfL2y+wMfaPkPsH/zzvUi0A+++kAZkeQ4kvtXDzd741AkU9lDeBNKuXjHe0TNLHYTNUQB37LyWEdbM9y0fNtnR+RznT/U+ZQyyrI8Bn2VRlc11wZI/ZSjv13UEaAbIf9Y6I6KIlAQ5nVUqOYQr4AOvT3Tnh73eR8UONFthQR1z3oMvD6d4mp/u+9Kb2ta/vvnw/OgW/lkGKCwB6U7HmBKBsjmCyfYYq/XJS8KSI3KOWFPCkiKWnLAsGeuaUUPrWy6gGfsUtPYgTIHBcVk6GT3A1cGP1biI7R1OKeyqixC4kmVrMOWredbTqI8g/9kfMEADIBqjwwAPuSiNFW07TcDtOd6yrtyP7PRXs69i5+HKlFpSpT1ttK9NRGuh1xuJCLg21T2hCokjC7u/3nH56obt62fs9yecz09WvK6097hGxHMCqjmvQaDJUq2/UpDoAVi75zwux4GPlFFQr2ffNAOIgHJh1HPFtu94XXY81jPO7RGlndH4gtYeUPkJQLXAjlNidUDyYtmeznGw+i8+gsP3gfh9EH+IIBVEjBgU9KR7xlYbPq4VT1UzTKVt2OsZWz1jKyds5YK9AYwEihkpJwDa+oBiRYgRCNq4mAWorSE2RkwVzKw1QVFrgmbam04gi5b1yCF32nOz+iv19Yzm2shq/AiwRqTaT07FD2K0fUMETIxsNVNEZHZBmR9z5j9YwIwEJj+PQcsjpb0J7D3BrdfcZ8+D2nr+WuJAtv9IZz0F84q87kcFqV2ZFGPt+NqdgU/3NZ49YHVL6sihVUExJ/x/MGP5gHH8PwTbCpxWwrJozyGCBX5jQE0q2pCXhDUBOf8Ccj5ppsyz6dagFQDCp0Qz39bgZxx+Y8hukm2yZvTCFMPUYjClxKREyDlZJAbKXa4qFBCCESqhiyYQgaXBO1FLq6htRy32qDtq3ezfXXNfX0tX2R4zj+QGUs/5qp7H+k0saemgJyWNjHY5a2FUS79uZcdlK7jsmgo+bxtOF5W23vdNC/24QqxTpm9UupnPxn0CBnCw54Zern6eQ13P4NPV4YCyA0SLuKtyzQxodFeba6T8u3j+ngm0XIMf90XH4uz9frrjPdzLOSI6fQrcBxkOw/+fvH+JtW1JzoLRLyJzjDnXWnufqjo25bL5bdnG3HvRFdAACdEDjLBNC+yOJRo8JGiZDg0k6Fkg0YAO0IAecgO6NOgYISGLjoXAEkK6v3+BDQYbl12uOmfvvR5zjpGZEbcREZk551r7PMplRMHYmns+1pzjkSMf8UV88YU9WzUW71e+0EHh4Wl1etvIc1ExWpfqiEAhFvvgO/uiGZOOxO2IiEJcr8BDzX5OEhPdpdHalMBqCZWJnW4Wim/R9RQemYB77wnJgVBTcyLW6BzEEE5QzpZZqYAlwvamGoiRBgXM6cw+8blxF4IFHrofFvnoZBFr4Li3bhQ2H9dKAYLC8TD6Bw9VCZD6jHhBm/QdNnUxCfcixz12cQIRdsCDXr3cWAme6xP90lGydpAcxkyMc8L1yAhAZM1Gbgz1O/3iNveDOWow+/EJff63MeC0DvJ+G9xLdqSi03dnqq6S+OLtbYopIhdnE1747iXwxvCFbfY0D2fS1Pe804Q3nNiK4h3WA47HG9zd3eLVqzvc3d5gTYdvkfn/vk1gPX5H9Hwz4uy5tWp0ruq8/kg6989arRZF9yKpUueiptH/5ubzNpHhA3A2HEBW2PDC0Nb394tvxba8XvHqCx/0w4UKFJwSthwWrMeEvJLlwRCgEPd8W/4F7bCojxf5LKViL1b4s1RzfrXmEZrg8oiZWKqD9myFHUf7GQhSp79Fs+iYMiISvPjnsLA3IfIDCZQTsLCp14XmvVmktjY4HXY4R8gvPxbH2Dcu18no88Nr4vOOOdESExZmLImxZMttJElgWdxYrljzgpIPLl5kn6uQ17yr0KrYvrZj+80zTm8e8O7pLd5u9zjkBbf5gEM+YC0Llroa2EqWn6WHyZnjoFFbdCUdqWeAyVQXguwWlNEaymfoterqSa2WDwLUJVh0NLjfblhjRIX7c/8fRj1Lq/0mnYH06yD+GogLiCpSqsipYHkoOPxSwans+M/1jMd6xl43nOsZp3bGrhuq7mhUoVythpsyss/AiWl0FXUHIVuNN84mYb4sGYCgCx4E0OmGUV/UfM2mEYUMx4YOgIeLuU49F71Fi1lOU6RFeHsQrN6UEgAWiLAh02nIkybYDG59V8kcBk2NLgbRIRBkXRfCiiSwvFsaYBZsaxQpuoNmFGEONsIA7sltU3bqJrvcu3lFbQwQKzKbpHZOyZ7ZRIyCJt9qRSsFTQlV7fg7GJoS8q8x8g9Nv01swD3/Fki/Hwy1v+WEvPwy8vI1LLk6k0EQRWyDwpHSYIF9lu1/A/BD47k7eKzj9kKMCEBEyImQfRDkzFiXBSnZoiPSUMqObU/uHTY9/bwsho5VOgBSaVYnp+5otaDWHa3uQB/y2jvVYMGPMw70zi6pmPKCnIzelpziFo8oUsWcRnTFw/6lVpy3DU9nf2wbzptR3s5ee6KU3YCPtnD9d5v1wjAD3IAJ0IJL0NOfdcjbYnz+7JYE8NHgwo/6PiJmXM5iEMG/vxA3mF4D49wuFsM4LNm9FhrqPAMU++Ammn43rp27YYYxp0+bgC5zasOoRJ8LXOoanqPjEx4GHc8cMBS3wKOKlj4uYdRzXOswfgSWPwTHMuyGbOcFw45leUIGeow6GTSdAYDQIyW9taFQVAaKKjJcFZTiQAmapshPizFlE294g/yMe18QWCFYu18jikkpgbPVsOjOgPgR1QHmdIBz9agXMAEfoEstq3MHreJ2GwDIKUfiwC7AJjvwqe6B76IQvkDVZgXCWyRVN/T+PsQOtINUXPR/9f3FvvWZ4BoC+Axo41sYFH4+FHvExbi83mLGiaNS/9FEGtOIy9k3+tHVjO5e10jEQKpO96bfp+FoUL/vcaL9vGK8xyP6Wf9tGJs292lKWJYFx8MBt7c3eHV3hw9ev8aruzswByXtW7kpZqBjctcVnnkH9efSGvZSUGrt+SwR5Wmt9kW97sUBUPOaaTMAwkUb6sU5mBETlBNrTkNF8/37RPR31RU6yPyM2+FuxeH1q7Er9THgr3POyEvCkhnZC1IKpJdRSObKNeBTrM1KadhKxblW7MXazrzkYXXr1Fe1t1dQxdUnx6BEW7L5PIDI+xshsrrNxgs56qjTQkBOXiiGPAmBrIBjgKPEHfxM2dl90IxClPEfXT5375XPRurUI5c8NqlhRhMBSx7Fv5eGta7Y84qcD0hphdRq88ymkL1Bnhq2r51xevOEjx7f4uvnr+OhfANrOeI2v8JdvsPrdsStiNO3EtohQW7NU2a+RG9HB0IAOtUQANqudrxNIcWAEGBiA+Fd05NFN9X7KntNHVILRcwMmEsL5+o1/xcgPdrrVIG0g1IDpQZOBn4W2nH4uOC/nHa8KTue6gnnejaam7/eZEPBBqEdSNXyYsnyV5iB3Hx9U1dBTQpiAWdFboRlTVDJPWoSFyr9XH2dmc7dHBaTDdNzlB3MRJkEDceAyfgjGCg+p9t6NeyQUEhTYSQKlUIZMvD2RRMjcPAT0Sfy8TTibBbByUmdwUHuMCUHXja2STHmsZmiG8eK4AGpq2+S18i6BD8mwKCmvOay2gFiTBVTrdZZqag7g8RqCwEMUsZ/TYz/b0sW2UmmUpeZQEnB+jU0AEzfh5w25OWrWJbfxLI0pNRsnhR1VaIx6fFUm+yzbN/W4Ce8+/6ud7KI/sT7DoEcwRp30Lwy65r9xqpHfnbsu/Eeq1QstSIV19wX14zvoc6K1gz8SC2QVt1pMGhUQFhx08RJTq6gUadnSRk5Ij1Oc8vOe8/JClQxrKq0NsvZqb5Ab9sZp/MZjyd7nPYd+75jLzv2UtBKcYNQAPIYRs+zAMJzEac7ElDfA366hzcMamAMVh1zCICeA+STgojl+oRX3fYXiD1MWjcuZxDUz3M6mavVX6c+wW6Qm+y1evSFOp1t/FbHb5/tcbpuAHNm0MBrCqjRq5Rg9IFpHe1MFwczI9/Gfm8Fz0bUR5W6OmEX7lDtFCOTwoyoik+uYp4WYgNe5FEfi/x435+dIv2a/NrJag9UGGCpmJwHri7T8867ZSYYMCR2q55SqX3MhZBAAkPZ6JqaF3d7qwcR7F4PZ4Xd85Cqt2Z2GgtGDsGIWsyqhda/Z/pF0NVEPaQOk6eNqcPuvZMEBF6Tii9VpUCdtqDQca94tItq9KG5F3nPUe8/l74aXOS0BKVwsvWsD5mnvB/gevPbwNGm5EiHHZREH/F+aPcJfbGzehIEAZvsqi8oKtoFE+T6cBogDwhOsFzNFc2P04cKDDyadzH6FSMvGYfjitvjEXd3t3j9+jVubm7B9K2mvTVYlOeEADsBfKz3a8+bNLGLiPzYfCut2dzrQKfWiloLahj50twz7LU4EDlPbnFS9Gntf7dCgkDkbIz1y3M+9aUbPrYLBbcAXJ9xO6wL1g9up9+jg1YVeN2Q5FXjYR5qFVRpKK2CC5kTwaM8Bn4E51KxFQc/xdrEaGw+66jPFO646EqfHuUJSrPKBOk9VGZDxJMbI0oVz2nuW3BKmwsXJLa+HEAnuaR3z9d0xlNPgBtzY18dYoHRGP/SKWUqPtO7zyh5odS8JIs+iKKKzWarNizJ1veUV3BeQJtHDDZBfStoD4L9zYaHpwf81uljvC1fw1busaUVRTcUqRAVozmlBWld0R4E8gV15oFCbTJHyHDbVei41yeF7IK2AbIJdNe+fpPpy0AKOg0dREa7F6eITUChO7IQjpBpogPA/ARO9/5awCRgamAWAye8Y2kFp69ueFc3PJSCc9sd/DzhVE/Y6469bShaIChAamA1iha7yoA6+BFR7FXBVcDJ6OE5E5pkyCogpi5UEWCpr+/RIQJkIxxfpt7YQUMAIBqRIFO6JdSo8eZOzd48vq4NZornxjCD3RFFNLVf2I7Jad9qOalVFUrSKaOg5g56EwQydkUzGwiMpBZxJFYX4nInfot0A8/DJbY5h0MymzxgahLqTMkAkI+TJWXklLCQRX0yG+UNsS7XilYsJaWSud0YhK0y8omQniwgYTWCCJQVTBWJfhONKlL+CEuuVnctN6TsDnyxiN5wPqBLXn/W7dsa/DyzBDroQaeVAW4EwnXII4yWE1bnM0dhyiYVe9kBAmqzeg9bMjpaLPCDzmBKLdJKf9ZWR3FFR/XkAwAIoKaOgNG94Slli/wsC9a8YlkOWJYVKeeOplPONgxrAZzuVkpxOeszns6W23P/dMJ5333htsW5VDOvQ/ow5A8BXGGAORLjoORF8DMMT8xA6OrWxIQ4IlWC5tWkB6Voghax4FyDrwuQhv76xR4R85YDnUgEJH9PU5ehZy8mABSf+WGEBu2tG39OoYXnqIQaoLpqT1c1g0M6pUFF8NybiCQIef4K0dTW2l8np77FMwU/uGFiIPhkKmNB724Ab2aarsFRBhJf0t6KG2FMyajPbkhg+k3EjSLxJ25HUAChEWWJqBojUwLlDMqLVxgd99UMe8tvCuAzwO+wR0b6phvUolAWS5id9FN75Eci8jP62kgijUVmLNQKglTyBHb0CGtEL8yh6nQ3Uge7A5REu0495aVe6mBLMXfIzrGetjjDWGRf3F18172NvuLZDYhdhjcbYVAOY5d1jHsRE7hg5dGeIdIgOj7rwBrdUDTwMBu2Om5J7Mqbm8LznjOWdcHhcMSNR35ev36F43Lro+lbtVUY6DkBeIJDMahWQE011NRDPV+xqhvvFv1vtfYIhjjVrVar0dJqsbmsjnplvYHnG6balfHCidAAr/fBozkBdErhJ2Of39Z2XBd88bXlZCiMDtNUel5DZ1CEk4UUgoYmjN0LfldhB4qCvQn20nDeG857scKv1WlvVQetDfbcJgOsG5NQExREGKQwQy682AEOPdqBZBMU9chPUMoxgE4gmyniE7mAIW4wIt3RGvHsDzfsMRUu7iF8/3soc2UmZGYsOWFZMoTNU09ia5xiwZoXLHlFTitSWkHsTs0nRX3X0N5VnJ7O+Gi7x7vyDZz2e+xlQ87VafVGh1opYeEFy+mA9CjQszoVCKYoVqYxiOHkVAXkLGhngWwGuqSEV3+sKer5j+GAYUpgMmEQyw2xdprhzmWn9depAMmLULIASUDJgA+xIKcd8ks7/lMx8PNYNmxytvyeesKpnLC3HU0LGioaV4ALOGeAxQpVKwDPp20N2IqCkwEjTkBaGIsyFNlsNKegtxoOiThfurgGCzRE0fZwtkUUJ/gTsdZE3igclCvARkdH/43n5rAiqUV7jLEV1DeCppinvU/PtDcJwQS3Q6FQtby7nFMviK1ISGp/61EoRY9it56iEQIInlYRbCQa9XqifpSNKxdjYCCnpQOgzAmZkuEiUWg12lvZCRAHPqooyig5oT0m5IeE/CphYUZNbNdCVnw90W8gJUHOVm7AwI8BH/LHBfj5naa9/Zt/82/wd//u38Uv/MIv4Ktf/Sr++T//5/gzf+bP9L//hb/wF/AzP/MzF7/5kR/5Efzsz/5sf//RRx/hr/7Vv4p/8S/+BZgZP/ETP4G///f/Pl69evV5T8e3ieJGdPXwMHioYFwrvPCgvNVWsBe2hufQieeuI65h7DkIUqnQKBbaLKcmuWRmYtP0NwBEF0ZOP08OxGuVcVMAoeTSr1E0zA1OgRUx3UvBtu8Gek5nPJ2e8HQa4gZ7KT35trlHjbtEIXwgxOIyFucBbICu6jQZ4AF+xH/3PPpzdVdmD5qGsT8mklq1H4fcGECfnGMyGs+xGH4S8DEb2sUjQnAg1jf1PJg42bDnFe9NBr9YBmleDuni+rtXPyjgPu+FXcj+fehYM8MbF5FbmY+hHV6MSTlsKsEQXGCAJi9TXOeo2UIjGNfzTaLBYkG3yE9RRVJF9oXefHvu9UX8VqHJDGKCepgiLiiiAUPK1gCQ07x6/tDinqlIuuyNCGQzvsmpbCzx93ETlKb+F7kCKp7T1kBSgU57GyBKpvZ73nd8wXPPmkTkR2YwejkO7LQm73RvpTAGwlCa/xbfeGFeuJojOvDxZ9HJafHCJkRDpGfqyB2v9mbU/hoilj8hCkXz6KW9p7jQeQf95PTZ+c7nbT1Ep9djLBFb7QZaFqRlweFwwM3xiNtby/d5ffcKiW5wERX7pjaFRXos2qN4Qmtn1HpCJNXXOowa63LmBGgN2M47Hh4f8fj4hKenJ5xOTzifT9i2zejEuyln1ta8aLA6bWueDp+/GnPY3KbmfR3tGiGI37ktJ8btwaJrVriRunhODbwLm4jEx1ppNrqbgyCuCXtt2KsBn31v2PaG86lgPxVsjwX7Q0HbK7Q1U8YzibZOdUNtEzCKy+Y+aignICdQJmDxuQ9OGXfFl5FH6OCov6Vp/nfxlT6QBarsR6Kei0R9AF3eIzutMah6naHJAAsXmeEsV3ZTRgplHAhEshuNC5Z8QMoHpKQogFHeTkB5anhygYG9PaLUglILAFPy3OkJZzrgqR5w17x9dzHAUz2Hp8DyeYL65nNh5K+0k6CdGloR1N3y2Ig8isIAs0KVTY1OzYhPnKy4Oi8gXsByANEK9iTDawDEdLR3vIMc/KQk/lBkN26Xxx0fvTvjsRht/7yfcW5nj/hYvk9pu9tZPte7gIKpqwmSR1SKi/8MUp5dF5EVhE3i9pznlZGLEaHbG9LHYO+XbYgcdKZBzPM0aJyD5m/CBvCC5WFgNP9tVy28WFTm7hZzAIzuBmP9UDAbCAgxiyYGcBjeJxMDarW11OsnCZn4BqlO1D07tuUqu8IfsQPcIa40RJTG1GR5VEbtjFyfHN+lyNtVa+MmJmLYqCu1NmH8N0n4PkSEibFkbzNtkKRAc9nzLFgWQV4UKUkXYLKaVfYaAPJSP9O8F9vnBj+Pj4/4g3/wD+Iv/aW/hB//8R9/8Ts/+qM/in/yT/5Jf384XHK3/9yf+3P46le/in/1r/4VSin4i3/xL+Kv/JW/gn/2z/7Z5zqXmfZG7k3kZ+DHDUFgSFcSHKkTRCpaY9QaIXVFa7UnaBNP4Ccs1hggKp5s5aE4CEx53HtxGODBQ8Y4L/h7O/dxbNXmFAADVQWzo0lx2jc8nc6e53M2cYPTyPUp1YCPqhU3SxShf50KX+EitHpp14R5ZBOkYAI/bpCL2rmIqhd9HIo9dt0jrMspkgwtX4mKgxixSVaCg6yTWXYd+ZlO8jn4uQKVCEARVLdBOZud1Rffv8JD83eG0TjIXNd7oDhXoX5s+PzZaQbxHAETjfMM3DBZTBeWKg0/lI6oB0UEyKMQ/VuuQam9sdwO1mGH03ShFqnR7u2tTbBThRAjC7xmAUEpGc93isoAAFEzz7AbFqQCsE1yhswYjWzCEzIjoFHUPoj2sZa1CVXs4XlGILFz7xHCcQ+0/7MJs8upNgZJBUkDq3Ghk9cEsnmyebvHvgZQjCE+nLoBfq6MoGjeaONI+n/+DQyrwPuAg55I/o+vzxGt2AROmSOyCA3es1Esv349V2fRT62fb1B33IDjEf3poFIFojxED97jdLje5nX8MtPDzjPljOWwYLm5wXo84NWrVwZ6/HGz3mIosH0zW4XiBOgjRN+hFpP638sZ275h28498nwNfpoYp14bcN4L3nx8j7dvH/D27T3evHnANz76GG/fvMXjwyP284ZWa48uvs8JFBvHuMTAjRrj2+fWazx5rdD2zWy29vEldxGAaMPeir82w67qKFBtFJ4w5uBUOHfUuYOPwCgOeMou2M4V+6lif6ooj1Ycs35cIGenF3rfMkqOMQLQwnvdQ7JASNkTgQ8L+OBg+QbQxWIOmuFAhwMRAbAkcgknl7iUjOu0NDIlsxQRbXKJa1+D2Yub9jgcA52C6GCKfNwG8LFUWne4eXHbrvbauM/tROROzoyFF6zpgHUtOBxfoe2MsgK0KJQaRAhFCS1MeJ/aBw0YaBBUuGon5nFn5yYFkKL+EEiB5WF4FK6eGupesLWCcy3YWkXmw/RYQEgooqhi6+jKGS0Bu8iITtBq0QUMmyZmnCWb7bcsFcf1EvwsWbAkwXKq+Og/7/iVR7NjniJnOXJ+yoZz3VCbO7WMO29GsN9jJadcq0CronnUIR5dpKQYiNEXHs29jxFhAeDCJsUjvxVRiD146+x9Loprh4Gp8HkEPn6cGtdCMEFk1I+L9RdmlwLjPsd4UGpG0iVF4QYCdedB5BolAhZZUBOhNkZuyXPFTTggRJCqWK4xMyPnPHKD4IVdHQwZiHE2CTxaBSBqCUZUKLkTPxhWXemQTMArXz3SYtGi7/M1kFmRloosCmSLxJOzN1LSAX6yYMk2nkkN7EJbb6nb2+2zT4r4JsDPj/3Yj+HHfuzHPvE7h8MBX/nKV1782y/+4i/iZ3/2Z/Hv/t2/wx/+w38YAPAP/+E/xJ/+038af+/v/T18z/d8z2c+l0Ftg0sN+yQ2gaCIcvTJy8PaET6kBhDZAmCGQEPhkBK0STg8uLPKmQ370Okyjw+HhDVMgtr+kDr9ScfY6Ocemuw+pUG1QaSgNjUPTnRwEZTa8LRteDxZxOfRwc8eHOu9uLLboJAxW/GpyIMJrxQRjSTIMN7jnaIrmoh78+PKeqRRJg+HOB/W29XXiC4dajlW43uRSzGsswA4sdiHIfFC9AfX2GdWcCMMCo4vfmo5P0wWq2A/QZonl/Ht0Rxuk/ZjTZNa/1K3VAaIlGaTQ9xrgvbnfu5uYGs3rAcAmt9P8BhdT9nfB6ABtEtJB56d7qoDM+pAJ842vhs2eRNFaVbSFKhonNDU+LsZVljVFPzdo0YANZskoc3qXalF7aMGTwAeOOBJSGBKSFfgJ55NqluGd0cFaNQXGvJoRHcUYKZYOfAR9t9UkFgtAKP4M0RTN+ij745WpgEwBYOeiMtthhjWwNHg8eVoVL9XjDEXTH/rkiNEz45x8T76a9/9SwD88rvX5xudee5fUbNHibp0tQCAOIB10GN88gn4KBC+8RdPIeYJDOAj0K5ISmxF69b1gOPtDY53t3j9+hVef/AKH3zwCh+8fo3Ed/j8lDeBiRc8QuQNyn6Pp8e3uH94h/O2Yd8L9lL6szQzOAb4cZtqemzbjjdvH/DOwc+7tw948/Yd3nz0Dvf3Dzifz6by1nNVrtr9AoL65xTPOn3L+9/F7ZtpOJ91exkozayIcX6Eqg1bM4NBVVGlOfBpHQDV7vEWn7PdSGJ7ViWUrWI/N5RTRXmoKA8F9W1BfVvR7nfUpwppZtrZWFCAZBIs0ZEMTuQLlOfxUMJyqMjHFXyjAJsJJtnQYgKhK7nFvEgjJxA9MmPHifXCEratdUPmOkBQx1I0nU7YEDwcmOpOLvGFUZkQ5S1G6YuQFvFxQwYec1qw5gOOS8N+UJSDiaFRblDd0QQoagqeOhKR/F7Zs6igakONuUoJiFpjEfk5w2htu0JKg5SGVowRsu87TnXDfd3xVM/YtSHTESvfYEkVBz4ic4ZXVAGBcEj2uko43BKYDj5PjL48wI+ZmEsqWJcdADqF6aANy8eCr/1KxX992PBwNkfuyYWbtnrGtp+xlQ3nsqNJQdSdIzWFT3MtW2QHsGT4Vqfr3KuJkrSoyyP90ar169bUfhMEBnQzzz7f957TLaaxDg0SPI0oX4/kk83vTUekKGrlmejTsIF6PiqCUdMHLcbw90LjELtWVAc/rUfxjCZGKE2QE2NdEnIT5KYmoJUUOZnasbgtwU7NZA2wZxAnFGpNrjoe5gjNPMZISmS5Pg6U5qCDORWiRuVqdSpdyCtocisxNgCUxMAPBKwFjAZGQ1LL81kWA0B5McDM1JDcLWDftfXr9ub0OebK36Gcn5/7uZ/Dl7/8ZXzpS1/Cn/gTfwJ/+2//bXzHd3wHAODnf/7n8cUvfrEDHwD4k3/yT4KZ8W//7b/Fn/2zf/bZ/rZtw7YNVPfu3bv+Ogwha3CbtEKlohcNdSMjvDuRoGZIfKSxWzJbtUgPAV0C0f5sE7ePDlXLnRk5PoocCxsUoAx2xS2rzzIZ5T0SFTZ1GOquIkcwWoYYza3WitIE217weD7j8emEx/OG+0fL74lFqjWx6sXwAckzuPKJHOOSiD1MOlv6XRlkomNpGJrvAT/hPXbLPvigMUAi+bO1ZN5VFrs/0bCAAx3tXrILKerZ4/3M+/1+M8zuRGiohHp9TNDPyUrXe1U/Xt8j9Z7S92JG5fQ196hHe9vDF9oAOLHb0Z0QCeQR8YJSV4uLxSSOOo6F0ZcC+FwkSF9SsuYo0myWKdk9riIgqgDY73mCONFXwRcyoilsfiJEVXWjsFH/vhChOoGcYBEgJkZUvWa1tomlXV0ujzhBUwJp8laOvJO40HHyGqa1MlQYaNUMlA7ItIuLBOCyfixWU2ky5snbJwyJEZGj+OLUMwYY8F4/t/ToYaKDKhMA2DuHuod7dDrfQ3dKwJR/3LDQ6GxXW9xLOwdFh2dkC13fhY/jnpQFgjYFkhnvIgQ06mo6LB4Biq97W0XhALo4gziuXrwK8OPxcfMUpoRlXU3a+tUdXr22PJ9Xr+5wd3cHps+j8qYAzlDcA+0tzqd7PDx8jPt37/Dm3Ru8u7/HVna0WrF7weVao0ghUMVyu1oED92YlQZsW8Hbtw949+4B796+w7t3j7i/f8Lju0c8Pj1h2zY3moynb31hRAbs3LifZzikhoc4ujP138fkoNEdPhf2UVxHimYH4Qx+AHP+7c0MUsuLG7kAIahjam0mZV1bheVU+LUqQ6piPxeUx4L6tqF+o6DeV7THinquKJupv5nxFv3SaDtmQlr/aioWnCFCFDVhp7bdVMGNEBYwsFSjhM8GfySp9DnB52mnMWpTaBHI7l5i8ZC2oRajtmcCZzgVPgCR9feUoh09V8htiZiO+vgAu0HqeTlOLxqAdwI/vGBJgkNuOB4U50WQsoDSBsUZTS3yI/D2ntaAGF8CAz8txrUCKjYfo5KBn1Bz2wRtF6dpFux1x2PZcF/OeJQTtnZCkYLMt1ioYkkVG6vJzVPGQrnTmwiM5pEgRsJOhw46bWYYc9ohmxMj54rFwc+aK1aqKP9J8KvfqPioVDxtO07nDSd36J7PFu3Z9w37vmMrG1rzmnQIrUwFQ0BkNExL+jfgI7VBa4NUy9sLqpcBn2ZRl9ZG/nGNqKR2QSJzZrYOfCzK6wwDaC8JxECnhBEwonRN0OAKwZ5Pp55baNHlkHq3Qq8xfwDRhGPtrwo38ql7lRRWQ7J5NJWZkVvDkhOaZOSmWMRAj2SFKCPDOPMK9jpU7JT8WPOGQ5ac6pYISGLzSCJMdDg41Y27smxPNWET88qcJ/ViL2SdMjKbOLmGDZAbFmrIWpCoIKOAUbAuA/wsrMi/0kC1grXhLRq+rqHQCXz9N8tnnSmtT36ub3+G7Ud/9Efx4z/+4/iBH/gB/PIv/zL+5t/8m/ixH/sx/PzP/zxSSviN3/gNfPnLX748iZzx4Ycf4jd+4zde3Off+Tt/Bz/90z/97HOLLgAIj0xyffIUkaDJE9FvDmBAR63irncckYoaofzJiBwRgkFriPB8YkZK8JAiQZKF3IkBiCeeM3VDltyAikhSLEXs2eh2HhH8JJRasbli21YKTucdD6cT3j2e8PB0xrunE7a9dE+XW0iO6AmE1HnHTHE11tnUwVyn3Llh02luM7DRmGzRB5sBIJkiPwP82DWh51ilDGRJ3aNaq6Bxs3Zqk7EWQMeTM7sh0O1M7cZmXO6FtRlbDF4KqpvRsiwa4x67viJh5PzE6U82Zs8TuTgAXT17D5GpXXWaEKNPzAulTgAIYWTHrujiIuPfxeQIN5zCaJpOb8D56fR0vI6ldGQV2GQcIEOkorFCvF6FEmHxgro5gJ0alQytuMdLwC0MNlOcaUioSJCQdSdTCSJKFkUiW87Z+4uoWvIqCyQFrzpodYDxttFBgtHdIvGz2aIvZCIQ0jrtLcHO1XyE6MC+OeeS3dKMukSY7stlvZ4X7vrUrv02hGFEV1+Oc587xcWXru7btF+mZ3+Zv4KAdeP1e76oMY5sX0YVcdEDnxetMK0/i3HG33fsl7ZBdZsfYfjCIj/HFbe3t3j96jVev36N168t6nM8vMJnj/pUAO8g8jH2x4/w5uOP8fbtG3z89mO8vX+LN2/e4O27tx4NjwKFrqoVc1HzBH+3adQTllUG+Hm4f8DDuwe8ffeI0+mM7bTjvO04nw1UdWnzi+jsC5tbRzFG+rzxSU37iX/8jNt7ooVGewvwExGfUZy71hAtcEW7raBVtZy4qpCqaGdBfVtRPyqo9w37fcW2VZS94dwatlZRautjG0EBd5rSBUAmhdFurI4Mk9W828QUMW+JQWsG5RV0ENAKcyD0SNHUbABCGUuKQM8NcrICXlo9H7BWoCl4IdBKoIWQVlOBS9mNv0RImXrub3euwnMkpiFMmqAeHZBoy8adlRL5k0mBnDKWpFiz4mYhnA4NaamgdYVSQhNCUfaoCz8bfUanEqv54mumfe6OJ2kj76e4qttesdcd57Lhoe64r094ak84yz1Ku0eTgsSvsHPFIhU7Kw6iWPgAJMbKwIEXLEwAZaxtwdKqUeDUQaG3S7g2jy7YuOQdxzUBCixfrdh/reEXt4pTKTjvBU/bbqwWf37aNqOo7jvqtuO8n9FaQyZGZqPwZ7CzLGwSV9hrreKRn+qP4gqe2ovoalPPQQvaW+u2jMazeoSomOJj3Ftjc0gfWkYXs4fLIsIAvQmpVHHqXK+vo4P94mu6BpLCtD7EYg13LrutFL8TuNPKWTcpEXJbUFrC0poBhrZgXTxnCA0Sue/uhKKUQEhOczVbojVxUEcXMUf7JlnRVnJRD/Iirhz58+EcSE57i0hPSGIvWJYFX8jZ1slfA/hLgrw0aFIstGOhDQttyGzgZz0r8m81bL+q+Hhr+NXWUKWgaDXVw2bg56NvfB5P0e8A+PnJn/zJ/vr3//7fjz/wB/4Afs/v+T34uZ/7OfzwD//wN7XPv/E3/gb+2l/7a/39u3fv8L3f+729j4xoOY2Ks4kwGxbU/4sFxzpU8z8oCKwC4fD+jobU+b8whhXQxOZp8dcATLYxQrBE7lUHJF2GNu1B7nEVA13zpApgLxVnl6zeYoJwytvT2eSt91L7xMyOum1jRIYId8/fZbsS3mPYuZFG0bhxvooBhibFk/7o3rjxsOOSK4ioG7DU9x8KeDr/FgNozoBhNuZnzPOSeTCuzMCO+GC2XKDpV0GVuwIQ/VA6v75uQPL5aYgZDIA8jD0PPY3jYf5enApdgJTogxTtF4pLGnfOvkt6+bu4gerXc3kc7fOp4XOv90JA8z4bNpwZ78mBCUF9YoODZZJY0GNyTGZNEjxBcwgJi7cHNQVVNaUf9Xy0Dn4Ia5ybT67Cxpc3QRxBFK2dR6b03JTmifrNKYXifX/QL5NT+agbCgEArB3N6J+6xtyxXsK+c9+cQND47txRx05HNM5ez2Ib83N8vwP292zh/Jhg8Xu/2y8sOgZRV6wLmXL1hX+EJT95dxe79uegvTVcgiBiRnaRg9u7Gwc+r3F3d4fbmxvkvH7K+SusV21QPELLRzg9fISPP/oGPv74Y7x5+xZv3r3B/f07vHn3Fu/u36G0iGyNaHZrQPWcnyam+BSCByJkEY294N27Rzw+POLh/hH394/YNgMEJYqfqhjg/lRxhmnOobEqzfmGz670WwF8puNft2ppBbI/+bG8fIOKKZg6+Kl7RSkFdTP6UCsK2c2Ylk0hD4L6cUV5Z3k+D9uOp1pQiqA0M05aqzbWGsYCQzH+xv/m184gyhYBxoLEC0Cm0rrWxSWlBZQBygBnQl5MvAh999aolQRVyZTmmkB3yz2SrULLDt3McOLFirjyQmgLgRZGygQkiwQl/8zKUgzRpCgFwMmAkmTGtiac1ow1WyJ4zGejYKRH3LwQ7F4FpSlqtdpiUgAIddADJIBMWS0iXJF/appYFUUbilhkp52soml9V9AeG+pTcerXjnMxettDPeOxbTi1R2ztAbu8Q5PN779CNY6REXGWRAuqAAd3eq3uZAYxUjOp/ERGjO5tA8JhUQANh/+x46ZZnZpf+XrFm63i7V6w7RXnveC07XjadjyedqtTuO9GUd0KainYdgMp4SnrpSXCcwa7Fwa7eKyZhossNjBFdsK5e6Fa6zaNilgx7JBfbw2qIzIUEDO62jMflm9WFNvzCJ1eF3RbyweLoU8YORHuFGE3GiLfvHkUPuibMsCPBhACoye3UZgVAagSgGZS1eSMCmIkztavRTvtj32BDMo40xCP6LE9or62Dgp7dFEaxYMTgTiBHWhxshy738UGPlITZG44ZADasNKGlc5YeUPGGeuvNHz9Y+DhUfGuCO53QW0FpTU0VFSfXwDgvH0+OPM7LnX9gz/4g/jO7/xO/NIv/RJ++Id/GF/5ylfwta997eI7tVZ89NFH780TOhwOz0QT5q3TisipVpOE5bXD1ObFoHBpN/BZyV3AAxRMsCl+3Q1e61zB7YStqqRANRpOVUtETE2QuJlyW6jApVB22z1qNFTdKPy2Cq/jU71eT8V5r+YJ2YtzT71ysXfEFGFKD1UizCzVDhJHc4RhRsPhEN6p+IaDoCaKrnLn7dapbz364wVMJWpBSPey9sTQC9Ayc6edjgi9sMtetAavX9PVa71+q1AixzezIRneeR2gRmeQ7B/F/oQGgJnj2x1IUTcqtYMZ/7E5PC+vJ0CMX29nc10gpgEtyP8WfZKAqcgpRaN24NqxlIeuNMJ2fmyBTWqi/n12UMAGNogA5WxiCkzgnMwTpGJ0Tk1I0pwCpSA0gKr1D7hiFhmVrpJ5W5V2O7wKiBOSgy8mA0INzWkFYv2DuSfjg9moWDSoXfDJv2lDEkLjhqSEppYMak1iEttLWnwxaqiMXiQ2oiCBDXvtK4wmjXGu7mWMqtpdvMLv6QD82vvbsInjBhOg4oIQE6UM3xpjl+b+8s3sYBp7BgYF6RJZTb3ychs5PpeApxsoTKCUcDgecPvqDh984QN86cMv4Utf+AJe393ieFyR+aWoT0CpDcAjVJ+g7RH1fI/Ht2/x5p0Dnbdvcf/4gIeHezw9PWLbzqi1eJKxUQBjqq5VUapiLw21CKonSYc0c6uCbSt4fDi50tvZFN625vkvNh9+Anb5X257Bn7KhtPjWwCAwusYedRHVUzG273ebW+oW4M6hUo2hRagPTaUraKUHedacJYduxRUaaha0bSiwWhgQBhqPieFg2jM1AAtICyASyo3PiAzo+UFkIKUGvJRkY/AckNYbwmHIyNlvsjHIQL2M7AnwQag7M3KUWwb2sMZ9bxjP28orWLxpG0T57FoD7EZaQQDReSKcpanazLbRAQsTo9bCLxmS6gXW/9Ka7grZrcwx9RMqM2ogKdiDs3zueDx3RnntxvquwqtQKKMzCuYjmC6BfE7MFd0VS53cFVtOLWKU9mwnjakr59AidEeC+pWUJwy9lTOeGobHtsZm5yxyxN2eUJtJzTZXfZYkLSA8AQgg3AAwe5HgtGSFm5IHE4EBkPAnveRmJH8dThhD8nAzy9+7Yzf3KwPPJWCU6k4n/cBfvaC8+aPUnDerJBu3RtqUdRdATWntjJDEgEpgWgBISMFvSqtyBXIpWBZTGp8WTJQ3bEnMEUxjCXZnDIuR93UquO4UmjP8w7Fj2vVkOttkldn3ycrQziBNEo5BFD5lH3NY5cJJAxhH0TJidZ+AYTUKZkKs80aC1gaWNhSIlz5jVhd2MOpaXmZ0hbga5mJDvQZvRtlbsyowKqp2vtR2sVfU4BgvuQE+uNXofiiNKwVwH8S0PczGBXrmzOW3zzh3Db8d9nw9tSw7VazqRSg7iaR34Jaqq3nrNb9szihxvY7Dn5+7dd+Dd/4xjfw3d/93QCAP/pH/yjevHmDX/iFX8Af+kN/CADwr//1v4aI4I/8kT/yufffIz8IG456WO8qq8S3MfH2Z4Yb92bgRoRkcOiBaxAURpH4b0BwuVjnMLvhz0k8JNg8F8kfMVkEX5JmLj0BYiHTKLRXqgGhrVaUYh6rUAYZuUdw5Y0xBqOA1ct21Yj79JoOZGF9ux4C3L9E4guUW4lW8ySiPiOJL667J/S1eD+NH79xBlgdAA0LcLphenHzJuf5M5DSvx68+ul7kdjdr/gCCVLfcTdkpmN28ADnXgfoiWtwdZgL1DW9jP32IqN+SQFyOvC5AHqBRp3wFhRMHZdMGHRFeDRDp7HfGfZK3dvVLT/fHOt4DlyAf3Xvj915QF3JxqOLLt+eRMGcPAG12UQYXkmNspFidYOE0FodtMkmrgbjUVqK3LhI6lSvMWDysOIJ0l29Me6kes6AmviuKKOpWLE4R7JG+0xYkNEYaImQnPJPXg8jOsu491N/mOkH/lAaIydAUwc+AYjiDylupc8zYn1RLfvfFuI+3xjKYL7u2NSjt71f+vX3ROzeJ2KR8c+mtMW53/fuHx3wov/Fgq/TQhhR5Gl/o0muNu00JiWP1flYTzlhPay4ubnB61ev8KUvfgEffPAKd3e3OBxW0MXiFYDnDJOqfoTuDyjbA073j3h4NErau4cH3D/e4+H+AY9PT3g6nywq7lLURst18OPe2FLFohO7yTPvu+W3lN0LnJaKfas4nU44P51xPp2xb7tRuNpQP7NOxr1jDOfF1JzXm2CUHZi3/lmsXJ8CYXUyWC4+Hv23CwJd74oC/AQocdlpNyZUhjqW1uqAp0HOCt3VXu9AOwnqVnAuG85SsIsV4GwoqChWl0WLRWYh3qU8shjto4O2TbQAWEC0QigjaUFtK7TdgKSaEuRBkFZgOQCHA+F4tJzSzp5wMHNiq1elBWisgFYDP6czzqcT7vczTmXHkggLWU7jGpK9vh6niNpQiDwYpYcipzg5vT4x+JAGpc4T6s9Hk6eee0Rpgn0v2LaGbSvYzwXb/Y7zR2e0hwatdozMGUwriCzvplOr+t4sT6towVPdcdh3pIcdRIT9bMqGj+WEx3rCaQI9RU5osqFJ6VTHFtFeMIg2ACcQbkFYwbSiSMXeBAs3LDAHk3VZxuLtE3VeMlnhdgKwJAXhjHdPZ2gyiuXmEZ/TVnDeK85bweaiTZvniO3FignX0iBVUItNU5IZmj0KxpYXypSR2PNK0oJlESx5sWLxqSCnbPOzOLVSyWtrodsgyefMoKxLAB6nw4XxYkusXjrcp/2MyBP8XiVznblzu9eEG8o9fZwPd/tkXxAQzngl5/MkICi2se6EsFIYBYpwTHvuuDoQag2SFmeGmFR8Shlg7fNFqLmKEESrLQXNBR56/Tf2Wd4YRoi2YDInQTi74pEwlBTJHKPfUMFXmoLeNfD/TUhSsLUTfr2c8dV6wlbP2Hcx8FsJZVfU4vYmGpTMSSNuB5ea8DsKfh4eHvBLv/RL/f1//a//Ff/hP/wHfPjhh/jwww/x0z/90/iJn/gJfOUrX8Ev//Iv46//9b+OH/qhH8KP/MiPAAB+3+/7ffjRH/1R/OW//Jfxj//xP0YpBT/1Uz+Fn/zJn/xcSm+2Dauxd8JItI+eickQwcjJ6J5Nsj7eNx5GNrodcWFyIg6oamIG3aOgERVpYBLU5l4iJgc8NDxHiIiNdeKY0jgMXHHpYVckqc0raDdBFZv04OdvnnN4Aho8GoQO3IwCZOd/sVRqXEpY0d5R3R7qlRZ8cIVBPWhuAXomJRMJDr2HeK30SqfE9XaMyYIvjfo4sUiqnc/z2Wt/P9sbHSBNCKSDKzLDJwbrNefkGvhY203HmfJrum/do0q2gMu0o+vz9B/GoWG/ofh+78r+GbkxBQ8rx73yydkEDkL8gKzfAh3DB5/NgE8oEw2DNs5J/FgkzQuPesVtIZ9g0CM/iZJJR6sVKzOpSQGkIcRBAl81suhPUcGuQFXPuWiCyhVg8srx3KUyLeLktRhgyZQR/YmFgDtWdRoAvEisR35YCEkGlYyYkJCwkKWXVQVSsmR+YrteJWAooQ3DcX7uSaw+QFWnz+L2CjolAdHfY+zEPfEFMNJDJHiHGEbr9TYWtZc65vw9h0DeVuMivMfNgCfe6zhP/+vUHz1iCwdvY8KYsWD8anpoFzmw9hmALGVTeru7vcUHH3yAD7/0RXzhi1/Aq9d3Ht2PyI/AipG+heIeWt5hf3rAw7t3eHx4wLv7Bzw8POL09ISn0wmP5xOeHp9w3jdse8G+79j33Tj/aucwwA+h1YZ9t/wUezRTy9wr9r1i34r9/XzGft6xnXcTOGieZ+aqSNdApav4xUTRW8c/0WfTzvSNl7ZPAD+EF/vBtHxdPV/uq2wbHsuj/2gUpoW6UVEFujdoqVZ/5twgu3oivUB2RSuK877jqe3YZMcuZ1TZ0XSzyA8qBAUhZR2MgU5txjSHueFoUZ8FoAzVO7R2gLQ7QI5gbkirYlkd+BwYt0cyL7/T0lJiyw1BA1pB3SwCRFKg+4aynfCwPeLtdo9zfTK6lkeil2TznGUleq0TRM6ggRJ2ZwS7gEuotqacjFZ3bqingrIVPN0uI79DjFLVqqB6XlQ5NbRTRX2sqA8V9bFBG4E4Y6EFiVYwH8B8BNMZkVBuqf4C0YpdCh7bhryfwZxBqrjfHvFQTnisDzi1exR5QpUN1eltUQ7DpMxDql1h5nUFdAPhCUQrCq1IKNipYpEFCKOX2aluBOaEhTIWNipVYhPKWbzw5P3TGdUB7+bjzqI9Bn72amq2+966MInllXnx0Bq0dXePUYIpVGQwLVNS/YqlCZbFisiuuWBNBRCFJAVVueRUEIHInG0+hXdp/6jxE5N7r0k3jXKaXvSSKmEndpEdy3dVQq85NaqU2zwR7IIxtH1WmSbyniZoC1YXKoB67mYwPmiIULGYciq3hkoJzHbPF7cfktdcC9EGk7e2ndaiLgxj8wL5POE8dKhyt0EBeGSfOgCCP4ICB8/Dt4Mp/ofnXn0RClRgazv+n/qEx/2MczlhKyeU3YBvKYRaLPrTPYzJnsWNo1IaPg+k+dzg59//+3+PP/7H/3h/H7k4f/7P/3n8o3/0j/Af/+N/xM/8zM/gzZs3+J7v+R78qT/1p/C3/tbfuqCt/dN/+k/xUz/1U/jhH/7hXuT0H/yDf/B5T8UN6FiQAwj4xJS80+hYeIKSYsA2eJ9wT+tsLKMDn+looG77hvQjPIxPCAUlEkXlgcRjYhwSgMNjfzGQFO5FH8/GD5UePaliuhYFZlyGspABqQGAQtbazhqz3TMtsjT9j25cEcHDs4ZKemBExVJCdLRf5PmMc5Ru4EYdjZ5EGL+Rcfy5EOcMVJ8Bn/dZBvMqP7DF5ffdsA2vN3XA4H0BV/f5Gfjx/iPUjdRx0AGArJHdmJ76Xd9n9Ced8jPmZI8L25I92hN82kF7gz8T+TkREFamdgQ95qhod7TBd478ddUIvlt0Bx5FIVeO6UYyEzgl4wYrHADZM1qDpgpwci+/Jy/bfIbqAKioeTwrWe0q8Ih8ZqeDwgsPZ2IsiVHIjA5iuRw/dmMAhEyooimDtVlip47kZ4ZN8KSElhRF4VErAQk7CBlaVOFFu+gUU/QiFpf5tllbwo0btXESIMiBj1Gu1QEPISLEBlY/Gfx83m0swN/kpug0iFF/arTJDHquftYpb/F+2LUGjpkT1uMBN7e3eP3Ba3zhi1/EF77wAV7f3eCwLhjgpwF4BPRjtNNHeHjzDdzf3+Ptm3d4eLjHmzf3rrh2NvGBsmM7nbG3ilIFrVVLNq7S52jV5MYTmeqblwfYzhWnc8HuFKR9K64wWlD3grKbRHbdi9dzYVjSCV+08rfm7v3ObdezVzvv2M4P/omLhlT1OayaWtaulgxexB6bFdJsVaANKEVxqju2dvaozwlVd6O7eS5eSFp3qrSvGz3iM0d+YPOf0GYOFS1o7Q4im9XuSmLgZ1EcVsLNgXC7Mg4Lm+GdGAubABFpQi2MbQG21ADZoWXDXk543O/xtH+Erb01YQXKHm0J2GNAbH5lc082FToiZLLj2ByTsHLGba2QvaI+FtTHHcvrA9reIHuD7g1ta9Dd2rJV8Ro8Fu1RAaSaSAOTKWJlXpHoBkQ3IH7wZdImevNnCaruOLcdic6gjQFt+Hg30HOqb1DaA1rbLcLjSfzB1ojC4yOXxcSDCRuEzmi0g6igotrc3SyyTg4KzZufTfKYTREupQWcMwhAypbo9XjasFdT4zqXivNWcTrvOLvzoTSxcVtCuVZNVK1FDk5QowlKDGUDP3Ycu385LcjLilwFORfkJdsjZ6MitoZEhBq2Dgb1TZiMEgbYJ1HctDv4Yjb7NNob94gHqzu9OUFUutPSSjCw0es+4yxNHfmEeiA5ULO1h+O8AURklRRorYG4gZvT3Zpi0bAdR+QnUiVSImQCVE1SulaLBjcCguLWQ9edBjjSLyK/m7ut6/YRj/XT7DRFk4b/LoL/3gyIl7bjtJ+wbSec9hPO+9nBj6IWQilA88KXzApKEe2yNqq1faa2jO1zg58/9sf+2Ccu0v/yX/7LT93Hhx9++LkLmn7admmrXEdorqxhjNyVMFxM5Ue7B338/nr/9Ox9N7jjQx1vrc+MEGm3n3UkzUFdVUm0V7anUB1Rp5vGJOWKMz1Um2hU4O1AyKEZYRwD49zgLRCYYcICE0gc1xeDbTapBtXHJcO9aFeVwZlvTVF7PY1RUyMSDd+3TVD0M229ZMYUprm+5apOYtTZsH1h4nkf+LmgmIw+EEy4+WBz3zCgMvFznx1z7KBL0s5tfeXxpxkYBubyfVhwafr7nHzhx6cwZmcLdeq3/UXguvDuRXHDDn6MCqWcLDrTFZci+kMj6V1N+aap+4EVUDa1mMaMJu6B0oQMNllVUpOEVbVjIvLY7KK7j90RhHJDE4Cap2U6au9GFRGIEpjEjReOgP00EkZTXYz/TlW4MvsNhY0IUP/TTIq7uhdBi2P7lpi3wb7dwe83DVs+ZaPp+aURpp66qGOJV2dDvtBtP+kQ6iF0y5VwA1EZy5pxOKy4uT3g7tUNPvjCK9w58EmJYJA5AzgBeITUB5wf3+Hh/q2prj3e4/HxEU+nR5xOTwZYyo6tFGz7btHx2qxgZ2so1WUcPN9L1Qrd7hPlaI9ojyf377t9Vkt1aWBTheo0QIR3FNPciOn98zn1eXtfv3/eoPTJfzag/tsAzrIX1IfHeAft3P4GwACPuuddixvq/pXmfUQgUCogLmCuSNkiqSZu4OMmqMNWRdLXDMGQzO4WUffE26OBANR2j6084LQd8frjI+qrhMqEwoTCQCEFazOJ/OzJ1cyQskP2DbJtkKcz9GlD287YyglbfUBp96jtYzCZyAIRo4kV9iRELTL33CNepy5KxMjmnIFFgRbOlmvYo+yC/dVu0aCTR8/2Cq3DISiqpuJFJvFPlEGckRJjTSsWPiDRAYnu0OgtQmUsKL9Vzr0vNG3YZYeq4LE9oDQDPqXtnss1UdQ1nBtAzIABqsxgfUlhzg1rzDOJs1bC6UzuJKPkRqp9rxTpeZjbLtg2wb4Jtq3h7OCnNYUUQfH26YuHqvcngmSyiANcNZQj32cU1FzXBYey4uawQpspSZyT5QsxE3IibMnsPWPWGNWTwQZ6VEylj5zZw54JrYpYNXoay2T0X27WMsyKzHBFTQaU0ZjMQQl3MkGd7O12SkSQnCI2hZcusFefxcUd8P0Ozf+HGJNTWXsNKrlg4yQmLImxLIw1mQN0Y8FGls+rYuUvXJHb8gJBqJWRkvScMXVGUJXBVtpLs7zrsGzY8uRVmrFL3Emy1w3nfcN523Hyeb3ugroDpRLqrmjV7mPKhKSEnIfKnHkYP/v2O57z8z9/m3iQQXeaDRkNbn8AnynJHuSRoGlvVwbPxIB79hwAx74XAgaXxrD9P1nMHf/YhKkmQwTqhfOo93L262EK7wK7B92BD001fS4WZ/SD6XzM0QzTIu2gMODRRIu5JLuEUl1URYdFpkJBqVkScY1K6i0Silunx13U9AnDb5ze59ve96MJiI58n/HHy0gQcNFAc1v5oAYMEMSfWOefjBaCh4+tD5jXZkCmGQcFSJ16ygRWXrq8wHmqw+DumGYGWGFXq3pER/tZTN/qUAsXk66r95AJdGROlp8mnvehhFndTV3eWrsaUbR9gKGZLulUU6/3pGp1DnYkZCScSY1iR4pFBIsIsvc/Juo0zJBoJsAS2smiohUKUh6RxR5tJVcAikRU6oYxwSgJkx12QWm4tD5pzB/ABY1NWS++hnl/Tse7GHc03RPRcS++pVuciODipDCcQORqeuCgM4ip56n2e9jPqoebY1c6fW5zUqg6sudPgM1bux4yjscFtzdHvHp1gw9e3+D2ZsWymBoRsPuOH6F4Qj094XQ+4bSdsZXdBQxqN/a7jkfYnD7PlNpQSkWp1YC4WERQfY7f9obzuTng8VogVdBcGWw4DtjLFNCFUTIyNCcSzRUQAnA5t3Svg1794f33+30AaPhh6Pogn3lTrRA3njv4EQc/6kUfHbErKTRpn/ODWk+LIkGxkknnpraiNrKHEFpraI1QqnRno0WZnFKpIzcxwM+YOwmkBY3f4lxe4d15xeuPEpII8Fihv2uHbjvk9Yb9cMCyZuScsGZ7fnw643z/iP3NA+o3HiH3J7TtjL0+obZHNHkHkQdzKLoxLQGEurCvSW9bbTLy1w4S4HmJDn6yLGOOgq3R6WTqclI8IlRrVxyMviuA56wAKWeknEDLisN5xTGtyOkG3O7AfAdgA9QAjmqDULVnrahywq4H96I/oMkJ1ZX7RKQb173ruKfXp0a7HgcuRAs4co1gdZfm9X/iIwxoGHlRZPQnAJ5sBqgyVJON1SbQRhB/tOrUeFe8a9VqbwV9GDDww+y2mkeQOaUOepIXzlxSguYMOSzQtoLRkEhw2BPOe8JhTdj3hPOeUatin3KqmaSPpRBxYjI1THKr3+hfI/eRIKOeInO3v+zSzUZTd1ArNzATKlkdbm7UaYek4Vvx/h8RpGspuUTe/6b1vjv7beyq090F0oFZ5IgOQRN/uB1GRFgyY10ybhdT5k1kDAmmBtVs5QDUokq1KbTa+p8SoxRCYkHOilIEKTckLkZ/g+Xi9jpL2sAJRr2Eui3YUMpuVMi9mhBGaah7Q9mBssPBD7CsCw6Ubazwguy1pESWzzX/fXuDH7M8+vMzeWr455PRG8BneDEUkQQbE24PDkR/urB95lAbYVBkhil5YV7S+Cy8/4r5+9MJi0BrAxXjWYM8md4PSMTgPOh0lMzQsKTukdTa7TXoNChiXA/kE4Mnwt7PMED8phvU1P+h/9apb1GUtUqnmxjg0QkITRWVex7Q5Km4shtnkPb8xr70wbjWZxGvDjpC+S7aXy9+NwOji3YISlN81yOEno7S9z+iN+gtRWT0qzCC43y0fz9mUvcgKdBXyJhww2bqJzVAWzep5j7uICHAEGlERC7N3wHmL6mZwWfnq8gPkUcng95H0wMBfqbz0kEnM6lhq7UgvuJG/2MmJDSDPzHxOncZLludQH3smU6AR4AUxqXvbeF5SRx1ribPrRuyrEawCuNjbkcCmWeOBq2Uon2jLTUMwwGAQJgS2X3HwcBzAz3aOjgLoSJ30dmuo31Tvxp75378mV5gnO3eG6e+OO8tnp3mF10O4tW+47qsRURhieM0XY//bQZrw/lCnjtpADRLAjhZrRAHPze3C+5uj7i7u8HNzYrFF1wTOLB8Hy2P2LYTtvMJ+/mEsm0WiVFfNBGSv+xiF+ZRDAnrvVg0p4q62hu7Q56w7WLAZ28om/R5yxwzPjd5GQMGWa2qbvaGkXdpmPR5EQxy7zpYewJxn2NVB2DsN1ThswSs+SaFpGe9AR4ZMSAHXw/iGCCPrsD344mAwqMClC03DW2P4uHiLSr+WgGX9wXgFFq7HnjZBq1uuC8A5wRRxSqE1hLKvmNvhL0ZADKaC4G6ES5u10beQjghPA83nIeqaHxCaR/jcc9498jIosBegacdeNih33FGfXVEXhcsh4x9XbAsGU8PZ5w/fkT5xjvUjx7Rns7Y9zP28ojWHqHyAJHdx1Y4S6K6Sa9qAqIFzevd98/JKHC1y/wyCmUQyAs/JvAj9XoztRbU2rC1YvXFQL3/KgjHrCYJrATKCel2wfK04JAXrGXFxisq3RjooQrV6gBIoCRoWsF0QpEEqJrIxOTln+nqvR/RWMs9C9nlvCehBWQQBfnv0rlHGOtazDoGqOxhU5L3H2FIcyNVG5owpLHT/MiBj+eZNKu/BcHIb22W4qPCIPWoT8rgnLx4ZkLKGXlJUE2QJQOHAxIUmRWHhbEuCfuScF4z1r2glIqtJGxbQ0oVRK1HxmrLqK2Z25KNyZCEPAwuNv405jxFLzXiaxQD5kUXnwshEBerSDAnndl0DeJRlSriuTuxpI55ptsYOqJMXYQpcocBt2VtViRFF+mwQSejz+iIwEIt6pUT4bAwbo6L2ZNoIFqgKmitgGA1i6Sp1S6SZvZnakg1IWebR0sWpGKgCWw8tRZ2ojRUZKuLqV5TDNZPS91xDtW/Ho0Xz/VR1AJIVYAScvb+mlYvjwCUxuhS359h+/YGP8MsuTDWezpaz3rugB6zUTu8525kIkKEgHriv9I05CdLyPqiTm8m2DOF+GYAFMedzPBxKQrTcq8ClArsO7pMYArJQFf7IPS6AeAwVg38WAg6lDv66YxJLxYznwgvaHXz+ZItRDMEiEnePHcDOIlGdEe64VGKg50Ogsy4sOTPmJAncHUFfJ5hHEwfzvP3xftxjf33vjO92mO0jclsR5s8P2r3MDtdD/C6SZ70bJOzHWQYgfb5Bc21nwcmgyYAj1EZ4cmzdkjxpPkuR4Yr9HQJfqKPdwN9OqMelogeqdNkCj8HjMWfMIAPT5Q3ZqNmBtYhgXIAdCuGqpx6sv98XtZXvGhcM0Or86wZxkeGRXsSD1qBwuigKdoObiD5dbAKWK1oZYPJyzdXVMwJVmvDr8fIAYPAwhqkFqDFqKR4kN+TuHFh5k+Rwo5E1eYQp0MHpSGmjAClJNOuxi97fwhwdG3vvpcGR5cxoucAJ95dAp5r4GPjxaGOL4is2sd39O73HKy/p97Rox+J52yZ0ciUcDhkHG+M9vbq1RGvX9/g9naO/GwACqBPqNsTzmd/bCfsPfJjRgKILuZxURPVqM0krLe9ukJbXItVppdGlmBdDPjsVUzu2pWltI2o9HzfLfJuff3KFOzXrVetPYT0dPSX3nYxpqdOMbUrzR886wKEKGGA3idfmL+grkg5n4ufjlS0dhn5oaj3BYXFUO3alNAjPzHPKAA0QnLqCSVT3hIByomx7QlbLSilQACUJqDmxwowqGQpBBpOx3AYhZNR0big1Dc4A3hzEiTZoOUV9HQHfbtBPnpC+cIBy92CfLdivV2R1wXbwxnn3zph/80HtDcntPMJe3nE3h5Q5R2anCHSJmN+rNWm2HUJeCJb2z5jEFkdHPs5g5EBKKg4MAaw1oq9VZMBbzvOdUNDgxN5bd9kwD2nFctCoGUB363I90cclxMO+xEnvgHznQOacxcasujPyAPpRrAb0up0pMuFJ8aogxXAhRvYgc8BJrG9WC6UU/0uYz9xr+aoKKHTBV0xljjAT+prgbQE8Yig1HhE1CccpjH+Ot4wypVfh0mR5x4pS8mec0pWCBcrMimWDBwWYN8zjvuOrSz2vGecS0XeKjJXpD1BUTpYNKXdZONdydIQmCZvp4nmwJ10lzLr4TSbokGUIGKzQ6PRbkUI0owmlgBnU/g+3LYDTQqg6lEou2s+buKOmEIbee6uykzJM1siChiHoqM9BEzAkhiHJVkkngmECsDBScsArHhshTqluAKwaGFeEnJtWHwu3akiJLMUZGkRkrA2e53YaJommmWS1cUL3m57wXm3+bvsgrpbNKkWNeELWrCuAJCR0op1uQEAlKowuvRn277Nwc/L25igx3tgGE/qH15MwLCFQmR4e6dd9I2evXjPH+nK+PSBOwz7AS36Ci5eUKtUYK8+wJN9IfnUFvsgQF0Ny843FlWdTnwY9jQftQMgW8yaR2CaupFI9jsl7nlHAQ5nQ9BOWXvldDM8HABF9Kd6DY3WUGu0t0xVlC9Bx3uBz0vb9Rfn99M+db6f/TrmH42jXhsRHf7paDfxSQU08oh6xMcjLpGYPxRgxnlcHCEAbtAYic07qjBrOCaubgrRBKLCNz/19wn1zVFM9YjHTAMNW3WYcdwjPxSRH4/6BO3NLBVCHyRu9VqldXYQpF0OOmzIUJ+x0HczeUpF94qTKHaSLtwRC4gRUoAVHqHpiZ8YtDcd8vKFBEUZrAnqxgoTbOEKL9lEe6O+cEyghKbGiYVGJuDT8668/SkAENBJ0b6ji54dNyt+N8xiP4Z6c74H7HzT2zVqoYvPI9k5nD8R0Y37oxfXAQzXpvcBlm5AxmNEES2plokhlLEcFhwPC25vDri9O+LVqyOOxxXLAjjJH4BA2hP28xPO5xNO5xPO29kiNdWLZl5EjT1Qasq05mgpDWWvJlpQBc3r/Bj4sYWyVEX1HAPzOA9xmajhFACIAe9Pfn0vmILWBPbcCYYz4Ii7fuH1GePv0+5cb+9+z+jSsfU5N9GK2sJYsPp0Ji4SnKPYbzJAr4CyWo0VN+6JTcEvryb1nBeTFV4fGcuJkTdCORNqE5y9+WLO79Q3iX5H3XHXlaxIIY1QecNOH+OxNLBuQDtB6wm6vYKebtDeHFBuFyy3C+oHB+S7BfvbDfs3NtR3J7TTGbU8odQH1PaAJo8QKVCp3ZUy1kwCPArWo0IRietn588UoV4DPw6Trd8DOKSMUy04tQ1b27DLGU3FgZVFVRgWbbmVG9wAoMxIdyvSzYrDwwHHtGDhIxIfoLoCnn8ibsw+7yfT2OjAZ8zvwJj3Y663RzLgwzdguoHV0AkaHHeAg977x+vI++lOtNnzB0CVu9iRCkMbGfVNAvhcASDP+enjR4DEI++Z3TZKKRsISia2kFMy5gAUwoKWgboA+5Kwroxjrdh2xnlj5M0kuc2hbFHjyBXk2iyaaWFIp8TRlACp7iiw/LSg/I0qBUEdd/IkW44RqaLON6sRqksfqHoO6KQMPKI/PrcCI8flAvy4c49srRfXJIj7EeDHxt4AHOJlIYjgkZ+M20NGzgyRBSLVcnVLQhNGbTZWa7PIOhE56Gm9RlqtArAgnCdK1HOCpFkNPmaawI/141Ivgc++e+mBov5aoQ1YVnE7PSOlA9blCAA47xX/R4Gf4ckaOSgsCmGdmAXDyOiTwpWR0U3LjpTHp/NuZj98/1AnSEMASHxi0N7xIhw6jN/J8FEBNfHM8BA8sCMpiye5x0KJEaHpv4+d6lh0yYQPZtoN4OpepG67mKHDZNpTpDFZWv4E4JGhXpUYF2o9HfS06dk7f+T9tIj2SHgepkVPx4D8bW2f9nsdz3ardNwIGm0LN9Yvdhj4NMCPLxpW++QS+FwfksIOnuzeWTWMQF0CclaJ0UaXP5omVGA20qnTrSiU+cIAj/kQsNA72QJ0eXXazzMWsvAEEqiLK6ioeeo08iFmr1GL0KEBEFgUpZHTkkitL8U1E1xOPcbMMAhFjT5ZpaEIITVgIcYCoBG7OUZ9P5137ehPtKESoaCBImKW3HQhsnw6MclSBpDJElqbDlPWugR5bQJ2pUYY5nN7kGCewFD00aiBxaMr9VoMHf1FbkPcx0vAPz//9rY4gbG3IVM6jjjqAQ2SXGcQ+80yal3QWLzd2RSerLZYJKYzSFsHziYmYbmIlBfzZOcVlBd88MENbl8dcLzJOKyEJSsYFVKNegJqUKnY7t/i/uEeDw8PeHx6xMPTk9fd8arwW8G2VZy3vYsVnLeKbW/YttZpEq2ReZjFqCvaBlAyRT6acsimJpwefWwo94E9pYWO3/jcMobsmLOv4vwXG73w+hJSffoU981sigbB7u+GchOooYcp53BmB7va6Tz2FYWmBk1kkeBGlowPQVMTum6hbjhdT2dewPtcYELyPDQY2GpNwNxQaceZ3oK0AlpQa8EHZYeWW7TzEel+xb6syMcF6SajPhbsTzv27YTzfsK78oA35S1O7Q1KO3s+UoRbJwjaAc8APwE0L+8KLmwFAsOu1mobndsZmTKqFhTZ0XRH1Q1QBdHqkZUVhIy1VRRPvO+40yONvVaWEfOn9rtiOPSn4e0nTf3zAD9dxMHpaUwJhAVERwc+t2BawXRA5iMyLyZC4/nFmdnEA8gpxZ7v0teyeb0KsBXOPaCLIiR/5JSHOimPLieEQRmd7CtmgJIp+6VESAk+FxlwJ1aYUjpDJUHagvVAWCuhtoxSEs5bxnIqrgoMVFXUWrFn6vuNIqUAmbS2+sThI5ojAkTaVd1mZd8ALzEnUtC422ifUHPt9zQusjtPe0frn41+Fw7OiDSa3RY2iWoDyB213kP7DmdnpDQQKXJmrGvCzXHBYUmAFEREWNsKhaC2CuwGZkxampFSw1IaliSoyyh7EVT7cBZkl5QL0C1B15MhzR355iaWA3BmJJgdwBmAMI63R3vcxMMiP6dO4f1s27c1+DE7lXqnCY9SM/7DWOAnA1L6DDu2y856ibLNaoxJaE5wD/AyGTLOI7EojN/YqePNp9ONPqCDH2oyqb7pOFisEP0XkUPRV+fhQYfNHeyTCMu4lIgOserEhFIoG6IOL+LoiOi0uBA26HLWk2LIAD4OeGTow0sfYFOkpwOfATauvZefedH/NOTk9z68iGHM9Mk0AFG07vXu9OpuTTkRwx8+7k8Yt3269gWzAwCg55KozUy9CFh4y3p+T6JhkYbXbA4fYVBDlJ2OxrB+QwTi+OkwLAwA+TX5foYcQwAgn7hCcbBZtAbBH5cGafaMVqHSuoqcdODj06ZfgnXMiLr49fXZ3fsjDAw3NVnSQkChhMZkRBzi2abvfX30W5ix5WOGPUcjw34vruQTV5swKKMGosaCQlEwMbvR0+y+iQMlyysiAzVOh5jSD0eXUB1UibiHve9dgqD5uj5ts+7sv40B7pQJBCh+9v1xh63AnU5zHU2/NQPJ8hFSpzUSRRIv+W+t2ggHAJIhSR4LXF4WLMcVaT1iOR7w+vUN7u4WHI8JywIkFkB3tFagpYB0h9Qdjw/3eHx4xNPjIx4fT3h8esL53HA6GSf8dCrYNyuGuHti7FaaUdl2o922RpAW3lEfO31tjR4v3jXDKGyjwTTyyeymcrAExL97MabHnbW7ajfbSgGOKMq0FI37TZefzdHiS6MWF1PNWA3G60/vNdM7ErRUp79JNyLNcwuYuDBNv/ETbgBgBqFSs3pVAKoAEEIRy6nYW7W6LSLmPJnPP+bKyPu5OEV7YWuQ02WJUFBA6QHQBk0FIhVoO9ZqkZGUVuTTAXyfUfcdeznjVE64bye8rQ94bB+54IEVCpcmU0PT9FpHpKOzJ+JmxJru5x+zJxEUDarF8pTkFkQrVAtEC6xg5BkAgenOa/eY8VylWs6HWO2TmHsVkQj/fKaIz8jviY05TOfYjQaMejPRz42iSGQFZRkHEN046FnBWM9DfKAAAKBYSURBVJB4RaLVwA9nrJywMCMzIU8KsynWsP7AcLxFk7nTBIDVcUsWpck5Y8nigiU2tgxYmxgAqE0gbxQmTUzIDlQ68EEDUPv7yM8DMhYhrJUtitEyDlsGZUZVi/ScdwNTAexSRHKEPHfHJ8/hURzgB3AQlnwN5rGGRHuz9Z4kTneMfuZ9SX3GELchX9ymv8U8G8BnRN2MXqdEULWVisJ/QRg2MeAMHKdFkoITsC6M4yHjuCa0tnp0qEJkQdWG87aDmSGiruKWPOrTOsuHSAASkDY/v4Sc3bYidsBr46qqQIh6fcvuB2YCJ0YigDMht6irlnH36ga3r25wc3eDm9sbHG4s8rOc5IVGe//2bQ1+5pWn2xj237jR9gWfxPDMWzIDnkuqkk2GFxOOuv0y5hR0s1iHgTGviqMb01Wfns5DxcKsrYGbgJ1zHsW2wjMZBwlaSqjFkMslkjdCCsUpdQN4tm/cYA7DPICPCTypK0vOVDaMAq4OgiToIQ2jmKlzdSPPJ6SuDQyhR44i2Q4d/AQNJC5mBogY1sKnr+yXN+qltwGE3PKm6fV79zTt6mI3DtpswtHeoMMcoREl7OHnq8UqHlMRsK5aERQtDrDlxjP74qCKPmOE3crqYEr9NSKvvgtnqKsg6MXVmPE3EvrZHwQ08wy1WiFETlurDn4bUKs5GjyiImRixU2dwBSX4/N9UM6gDCVXkZra2hI/m11PAw6sqJrQEtCIek5OtCGTMxE8wbyKYlcFidHlGIoCA/wAAGmWQwRAmZBaiNdKH/fhpUyZwEvyNY8t6tWsujSTmmRPIkDMS+z58VZ0Laam8CBU70u9Q7mB9Wmd7j0bO9UPCBBknWw2kujyFtvL6Csx0Cbgo2RJ8clXIGX2mkQhZZ56rqEJUjTvsmL0DgkPsALu8VyXhMPhgMOrGxzubvHBB3e4uz3g9piwLgBTAaRByoZSzpCyoZaTFTN99w73Dw94eHjA/eMJ51PB02nH06ng9FS8PohCyog2l9JsDiqKVmAUG6fQdMM7nP3qgI5tLksQNLVIELvx2Wdy5Qm4hBk8x3/CQI5neO6bYnaSTGRndCg6K2lN4PECXV3fSJn2IyOq0u8/XbhmrLdd9Sv7bhgMVtxYk8Cqvft3iSyKaVrD0JCqIoDY3PNKCkHz6KjN++dScG4FWykmPd4pznHcSPa/OJm+vgWllxogEDSqQFUzZlUBFogUVD6jtjvc1BsceMXCKzIdkHjB1nY8thMe2hMe5RGn9oBzO2FvpdObWnCxelvHYjOv135f+uvLuzJvzHauzGcUeguihO49j/UcbLVXtHodSELVil0t90Ob+CTq6yUGzO3lg19w4PK8pvRrst5KHo0lymAsIDqAYdEdwopEC5gWEBYkyh6VSsh0QKYVCycsyWqyZa/FRpx6xIOyR3YMDT1vF/LSHIAbvw11yViroiWBLrbucLP8VyvV1qyuj0YfNzedRZpg9eFcS4XZooPQCk5myOcU4Iicdpcs8V4V21agjF7v63Qq2JKDGLJoUookalAX6IHC1gok0BIxQctttGnT83QC+PT6ZuaJTNnWJmqjQC6ih6hCmJ3ePY3fsAVn53zvb2MOAYBEYorPTkNwTg84TQmlRBBXzmtqqRakxoRYM+Nmzbg5LEYLxQKNnJxa8ZBsPRQB9mpVJ/e8YN8VSzbnk8mkaz8+ccNhSdBmDsMlWx+yRC42hzrgGQCea5ws42gBA67ACCTktODu7hZ3r25x++oWt7c3uHPw8/Cw4/Ns3+bgx80HArq8n7qVPoOfebKaJo357+F+6xPH+AMiJD+DIfV9uQ2MQWmxD+I3F/PntOfZ+FQoUhMkL6xFfZXQcb7xNHnPRMzj37/X1Qv8++xjNxgLGucxRX7UAFA4jaERzfFcHYldD1rhAEYGggbIGVS3Lm4g2nn0Fqnya/Co1WX9nOvNT/qlP8+ffaKxeL3gf5phefX9q3afYka4RGbhAXQqHAJweCfoyfPuWXcwEt4yJPLEf/fmeI6K1ZoNo5ZAEn02rFiFhYgN7AwAZMfsggyBxBBRARlXS8MYCX47ef+NyE9rlhhsiYvVDYcGag3kkZ8YHQF6xNtbR8jBJrig01H43Sm+6fxfs68KFEUTagrvJ/fxHrZhOCwU5iFuKijNOnMiA1pZCc3Blzrvuqcxd6fHcHgQsRXv4wROvkA1o/GNf2KLtZqXyy/MwZmPS4IV6avqVCFMDNlIVh/b+wyq93fVYaBGH7XdS+8zMXX5rXdDSPu1xtxnUUgX3CCjA/IF7Y1HNIzJPKts4DLaz+hu5hE1Hj1jyQuONwfc3B7x6oNbfPDBDe7uDjgcM5asSGwat62csZ+fUM4n7OdHPNy/M8rb4yMenk54fDrh9LTj8WnH01PF49OG7Wy1ndQCkNZvqletb0BtBBE2503PN7B2sz4QJqWdc5CVLxCkjx9zjpLfwFD48vEU94L7TxCxX+qRxmHCjlWkm9PP7n3/zO/fdWRkrDvx9zFv6bTfua88m/lIIDQiP5zEIsgMMyR9TqDkgy08zwyrp2V2DsRbTr12T2uC3RP9a20oXvejRzCCSuQz5uW1xbowLlZE0Ujc8PSxlZx5wAXCZ5x4xYIVKx+w0BEZC550w2N7wkmesMsZuxQUBz1Vak9ut7aYwY8/uVOMptcXN2g0eP+MRHCRr0ETiIrhyjay4BFTSEbT6gpal5Efx+0Xhxk40dd9jjxdAyAjyX2cB2PxiM4BTAckuKCBg51EK1KPBnkeEiUkWpA5Y/F8mqC+ccyRDi7stV9rMGnn5vTvqKrTyhISK3JWrNltlmTroDaFeLBFXerN2kC8ro4Bk9Rr95gDhlBtfmNTLltWYFkYOQNELrPtCpvbllFFsJ0LzueMZfHIz1QPiImgHDRw7f3TSt/6lA+AwL6OBBV7Yg/MgJQBkCumEiPCpWZfmf2UZFqXEY4APNtG/5qOAd9//FCBKKZ9mZoR68WI/BApUiIsHvm5uckQmNJbiBJs+44lW/5Xj/yAsBSTCg8HFJFPygqP/Di9VO3YBn7ZokpTQdQYa8weHaSQNM9gXpHSgmU54O72Frd3N7i9vcHN7RHHo0d+1s+e7wP8bwB+YimxRH4aBjakhxo78OgARPvcRn2CGJ12GJYYi03MYH0CnxYdnY3jaWKaonAUJ+L/yzSlKbR7lSkmvgtAE8aTPWsACnbqm39PI/ein9ygT0R+MgO9XZQs30fhAYW+8ESdnubFqNzwVHJFpef0ttZ0elxKxopM14Txuidj6uXi/U1vn4CholeojLnkgkE27UCff3Sx8Nit1G50It6rAyCibicMeuHUrdzgJPLZ0oGPZfrDRICCfs80dA+iT5L34fnm0hSF8siPASmzzeeoQAdvZL0v2P6YTHsoGRc38n2aGUlhONhzA0kFSwOLIAKODZcAqFPfXHYzwE+PjE0TvAlveP6bijlAidCYTb2IxjVc2B9q51pFUMRUaDKoe5AyfMHplEXzRF7Q3joDxheWKe+nG67enkQEZhniF2w/lmj7FA4GH0ACd1Rcdc3JyPvc4OelTac+TNHxFTHzIT5HANJICqT+N3WKTM8zoORtknpULJy8Qf9i1Wmh93wCTljXjONxtZo+H9xZzs/dAccDe76P5fjUcjKBg8cHnJ4e8HB/j4eHezw6AHp8fMLj046Hx4Knp4LHhx3b1jpVxmoSESS85QoDPhNNNRKorYE8od16JKIm18iAQvdbhOCB6EA3XZIek518NXEMeZERaX3pHn/aZ892/Z7t886gSlYcuL/nBkoYuRdxzinmOrNIDdgLQMkdWXAQYeOhVsEeRWYD+FwJVPTW6PfjuhX6jG3GmdgAJbBJDmuCsBeklIZEZ49UmMHOSNi1YGs7ijYvumjgokpD0yj4GI0cM8oEfmK7/mi693aSoyO4W2SyNTAieSAfK8mNfQCSAD6gabFzjFooNZZ+7aTJ0W7RXE7FR6wroS7mY7WLGCxgOiLhiERHJFqx0GqgBwsyZSTKyMhgsni5OY9CjGEI3ljU1xL4kTz/LxEoB9ULE+1N+4AzgQJrD2lq+SHZ7B7J2RaD1ECJTFVQgKqAaOs08XhwRGiyA5Vk9WiIjLtPnJCWhHUlHA6EvDK+zIzvIMKRAbkh/Pop4T/uBY+PCw6PJp2cPQqXQkGXTZABwKSzE1p/Y+pM3v493YknAHQFghLgAjwYEVsFqgqymJMRsOboUckXNpra5CLPSL3fhV0VUUcXFRmTWqyZgqYmcJISsGbG8ZBwe1wgunodIBNDOe0Llmx5TaIWbVcIytJcLVPQFgM/JgZheU7GmLf5I3K8cnZCsHidpOZrMXcNRAPaOSGvC3I+YlkPWNcjXt3e4u7mFrc3N/jg7og/8AUDP/ndgl94b4s9376twU8HGehwBoAaL98TkaNDzJNZQBCzIy+9vs8O0C3lEeXp+7kyjMM5Ft+/3N2wtHuEIA7gCFlB3RA157zxgbWFT7J5TkVDI0ajZrSUABceOTImDiEnWH0LBnLCJI0dfObRHt3vT1ZjJbljQpsbsOGRF3hkZ/A8A/DMEZ5QTBpAJ5pFB2icnj/lJo9W7tyV9zTz+/Zx9Zb8hb74peevIxwLYERtKCb6QDdA5IcRyJM3qU+GGoTsMIoDyGgY1l47Z5qkiOGFi+e7NQGGqU8BIcTgQFNkJHrr9TXpxaIdH2v/J167qaG0Cq4FCqBKNcqIuCqONCQ18JNU+rEF11G9GK0DwNjHHQ0iFvP4diz6QQNvUDRSVKhHhRRFFJsodqe7VadqgqwKfVMJsU4EcalH5MI86daFt0mzInvkdCgV9OKZEens402nZ0YH9Zf93OkHFPfVPiOVi9yc6zyd3/Z2vTuaPyZcHO4TBpENP5rum0efYxC5kRPjgd0ri8xYlozDYcHhuJqX7uaAZYkFtKHWHWgF+75h2844n884n0/+fMb5vGHbNmzbjrIXlLKjlmbFIkVgnKzJ047IITFBhlBYUgmasM9LPeoY40B6e4Qhow6MxRkaUegwvuPN8qnt97/qRsygdaqKnsiptOqgiACPwhLB+zldidWEmAQAAToTtsGFJvzRk58xgNQ8B14gvKsFe3rtMyTIAVF1RNs8obySwOqTJMvncOBjalPa1a2ekSquD6nToa/X+QsYMp2xjnnYfja7Wjv8cYEUAaiBsIPohCYFRSz6I9KgtZnyK6RDZ3PUOt1MjZLK6tHYiMx2Y9sj+HNkgIaaZ39gUNIi/yj6dnxmBrbn1bAnErOAkgBZPGLTAI65tQ0dFadbrWvGemCommFLcCaICKS2XlCZAhWSgpqCarKoDjcsC2NZGXmx2lJ5IaQFSEmt/mFWUBLL00x2AZoUmhS/xYq3RPgyE778/ybk3xLorxuFuaqtcaVVNKlWfDOqJvdEzXEPL8bQ3KWndU1g/jvrAJNjpf8A5iRyql9KjCQGDGxtsD4qUz+7nmou/PQOgqAGTsey62OPvJio96Rg95BUlFpsXdfW8xPJaYXLmnHw9fxp27EcFuRkzjDzxbsQlroSHyxak/KCdV1xPKw43hxwd3fA3d0Nbm8PuD0e7d5Vj9qxMSW52v6SpxwmAfJ6wHo8Yj3cYj0ccbi5xe3hBreHI46HBd/1vRn8u+3O8Pb5JuFva/ADDPDjb/omMqF1su+xcxH7xHTVca92jFBDe/b5xfswJeJQHdI8++pYOYcBEtPo7NGWsI/EgZKK5Z+KWiE/EBoYjcwbqVP9HBWxz9lkXRtbAVRRsiSzSL6jYTsT1EO28dxTGWyR8OhSa2ZcWkHANkV8nCrnAKh5ZMrs76DpDWP4Qmo7EIhGa0QzXRnrOgOlAURp3IKL71+soy/fOL8X853SZ9+MfXPIioO6OEGvAxOPyZBX4DnwuUSbvb9ESJ0crMMXAXLFk25hTbsI47M/ME14EjDa5EW70aLTjy+umfpnOj2LCqpWcEsgtrETdDdbKBqS15PIKtZPw1OpTltQjPs+tzCNkWhXxf3iOrvIQY8BIEUjiyhVMuCzqWITwVmkA6CivujAwRICADUogmMdiajo4afIqTMHAgz0s6IVuwetem5bE7R6HZ3t8MajUzKitdH3Payk5LLQAYam8HDUG3uhQ49V9rexzcBl2nHA6Q7E47s0/XAWKLkYz12dI06TOm2BM2NZkhc2tdo+x+Pq3kNApaHUHVoD/BgA2s5ne978s/OObduw78bPr7X1uS4AT2LLZzAAyt2rGQBI3IgLA0DEnEANil78zw3pEHVgZjOCCC6V7pQUmsygGMcTsJzHaAQJLteDlw375+bNxY177x2dX12NMt/Te/pOYvAymQB5krj2NTPmKPG5HO7QMlUy6pRCm2cM/BiJgayQpUoHPoNWG1FCjLmQA4hOi7Fers0xxwngiq4GWBvYqHdKDtSs/leTcOBoL7IoU/+9vCsx6Vw117wWxXk8W5+e342Q7Q43J/W13hyzQgLWBtEC0rNFfrRil2r5lcWEZCRyZP34BmCyU+fYQb5FKbrgQNChEEyW0c5mJGNa7+MhRmUjXzvidQdEwSYQ/7Fbp6mZFdnDIe70i7XKI4vrsuB4MKC9+5orPZ/UcnIAi+xZSyZwEs8raqDGyCthXQh5JQNAWccjKTiLR6EISGp6HMnyFWVhbHeMX/t+wquDCR0INaMbOvAp1eaW1qIOTqB6oCt3xtaVJXi69zrGjNqaNXezIHZ0WqRaUj8nRtKELAJJNh+1ab71JCCALsFXRPuIpvs/U0xiXReX2fb3UQjV8ssqSiuoDvyk141SpMxYJPXDH7cDDuuCnLPZ0hdr/LBfiROWZcHx5ojb21vc3d7g1esFd3dH3N2ueHW7YsmEUzHb1FQDYXlWaqIpSYCswHI84HhzxOH2FsfbOxy/cItDXnH7e1d8b17x3YlRHfS0is+1fVuDnxn4XHu2LT8CvoDBUpqdj6s0vDAXy8K0UPV99D2iz27X095swimFB+jqXINnTy//HnDpv6CqqS0yrKYAZwaVpdoJjJMvRGgMy8mQUUCSCWgMJCE0tnCuGQQ2oanXMopzHgBI0YMVBCQiNxrMKBQx73dxSlxMFLUG3c0Wv+4tnw2mOQI0DZhrjBPGYv/O+1f+z7/p5Uu6+uyTfmOTsCWOhHfbE0d8RxP4CWvIF54OfCavj9Hj4N6uADxBC7MD9130Y2BEG71tZOpPEQ3SINeTTPeBxgz17BrDxBnAxyI/DSQMkgqt9tMqRoELEJSgWAKs+Q2VbiQHiBpREMXVOjJHZidDZ5hxZrgGfa6RCRjssIjPSe35LIJdHJyr5QZE5KfCKBSZ1eggMMoOEZwSOO61ilMxPGcncmAuhD1aAB+MNtURM0P31uq4UHKgwEF5HWTDC+PqPYbVew3YT9l0enan/iW3K9Cfwryw5POmRw1Z4to8eqg0s3k77rH+bIZYEoUktsVzTTisK47HA25uDhb5Wa1ujIiglB1t37FtJkm8bWecTmecTycDQecN237Gtu8Ofkx8ozXL90ke0aZIvPaoT4CfeJZmeSMEtiigU4Ztrpbu6WUAQqb2BBaoWC6XKMAyIpPzXSEM+2Ruc/I/vH+KiV+/kCTxni2GdjBiopDlDH5izrTuFDl+E2CLozOD1iX2PF1Js+sUdTEDK8QY1ybTL6Du9W1wegujFvJxAgdAMe/HJDao5v2SFSMiGwAoIqQTmIuoTYOv+aK9HIQZ+9qNflF3xEUf8KiP4AWn5gubXr978Tcvr+bhOCU/Vq+vA3IJZ4aIFQJWqRDdUaU4+GnQYsAnEuHNdLiis/EAP+TMBOY0RX3cYPZkeEsNMgBj9ZyMsprI8/RILNuTqNsDPZ+0PxtNySI+FZphwVc3HIgaXGDN2mKx9jkeMu5urK+x99lWC6QRWomoTxrRVyhYjCpXM4NbQnbgs2TL50kOgDgD5ADIoj/NZK5ZTCH0uwn4DgY+MIT2/wiwqUBRPTpYUUpBbSbOIaFmOk/fMt3ncHTGejs5UAUEUh39EzCwARu7CQqwlcNlIrAkcGpgTUiiyItCG0Ok2d9U0NhTOIj6cy/1E73KI3mRiGSOWsvNCXVSgEbuqpJNIlVRC6N48eguSMWKlAkLsp1vTng6b1jXBWnJPZBgjO5YHwzEckpYlyOOt7e4e/UKr1/f4fXtgld3GXe3C37v3Yo1A798NpphRH5yZmQhVAEWAYoS1tsVN69ucfPqDjdffoUPfu8rfJdmrJrw5ZZRNkb1eUXK51sjv63BDzCM49luCFMOMHUqIqs7YDcMFzS4C6nXDnv8b4rhjZ32H08XwGg2oKYJMQxSwrxwzmxwdE9iTPPixhT77y051xMBwUZ5Y8+DCHGCkJmuVm9DHPwIGwAKezwnRp5srctHeIHMS6FuIFQYxUGCNz3V8KkTFWiWtG6+SofRix7xuYoAhUF2BXN0eqFhZHqDXiT36nNz4dnCppf7e+Hl1bv5S/a60958fumP2V7p9I0BfIIIHID7oq/0XqTdeCYN3i78WNRzaeB9IU6rh9URhsEAGNHRO/UwOL/90FOrBWC7ukfNwh9AK91gmGlvTZoBn7jUuBqdge8c7evmy0Shurx76sDQalvYe+kPdTHTy8jPySM/RWCRH/G+6+BHNLSqzO/MFIpkAUq13wMEhbTBlersO5HPJk1Rm3ajdr43naJCk6Kht5tCvR9Yhx8e+nigG6nPZN9/m1Gf3k3crgxa7dX6+cLdGL8PjCex4LE7RALU+Y/7+kvGyV+WjHXNOBwX3NxYQdMcvHFxo2PfsO9nbE59u4j6bDv2rWDfduy7oBQZnlkfD5HrYJQR6jRECuNQxAAnAQiqFk2zfXdhis3CE2cfBHeYmdHS1wRET/5WbvSe13h5etLLP4yPY2R9cr8xRcMwAbyNpNp1OUg3TOjOh+bjowHaXP1QgNYYIqOA7KDaso99j6D167LHxbLr1ML+lckIhgO4+Fh6RzZDXhu7SKbPn26cRh6guAPGDNABfMbIe97W4w6/r/Hft+nF+U8z/NTfYN51NTlg0h2ixUUPBEUbpDaT4tagKgVVnTzyk0FSHMwE1S2BOCHocfDvx7j0VB5nLgQxYUR8ErmkjCc2svM/e00v9vIhQXdjeOSHuiNQAc9f9fZNDYBiXTKOh9XunwtNtJJQKyNnc/wioj4MMCVws8gPcQOYsSwuYLAQcgZy9ujPokhJTHEuMSgDlBs0CSQ16P/Fdo6S+okpmv2bIj97Kc5oMdpbpBMAMCdZ9BWeXkfn7XO6XMy3huF9jvS+yYDNJQRXP7XITziIRVtnEDATWuQdTUcFMKJ4HMDWAVKaqI8SdqZHfPxCRMSov02RK3nUp1p/c5ZCSmbkcLIxczwesDrtLWS2AyBGkEwBMFuezvF4xO3dHV69emXA5y7j9W3Gl24zsAr+P6T4OhH+B6mJDzWL6FZRJFEkBY43B9zeHvHqy7f4ge97hS++e4WjMhqAMxhVxxj+Py7yMy8/MwB68fvqrOOZ7xahxJfWCXr548nmfHl56RyISEqnsS+KKXBwoPvn7mW2h3nMyB9QAM2kaIXZoj7EELZITCis1Wqdu3riXkhpqhc7S9z8s4Qwcm2+drAVwMcN9kYjYC/OR7ZjOQVqru8zGYhRowA9CtCb5Flrxj37NBPvGvRE2710u1/07H1GS+X5ghcJm86PZ52AT5z4lDjejeoBfEDzQhj7HsBnRmghOW0Ggg6v4VitHQhNRi0ujVSdPpyBxzguxus+aOLszD8qGsaQUchUtYOe5pEfAN3rJD6xS+xFJ9ZAPCbgF0BptFtcmJ8Hjd81qEVwPOdnh+X4nD3npyhQ1KXafe8RW2lkuULsdI5uBBCgFwjA7oVReRTURvM0z2eLPj7uw5wtGNEe54vHzZjAgSnCKUY7j/vyLc/5ed8WABrobX1pKF9Y1/0c+yV5n9LohLMZ6QtyApknL7OBn8OC43HFui7IyXyRTRrKvhn42TYDP/uOfd+xl2LGSHUa0OSV1ADcNDyeNte5Wh0bzYMjAgQAyeo+mca5QniAm05I8j7BBOeomNHeAMshnQoyR8T2Ww1//qduxFAe4Mf91X5/CRElCc0dUcByo30MOA3OxgVBihlBPd/HBXJ6BXpTCukebFU3lO3w3fYFxhJ6Mb5Ip57p91UApsiVBGzONKM/HDABeHq+D7RPuXH3X1p9vuk7q8/fjri6vaagWqrApIR3COoQYgiA7wvjsDdCrjoBbEnjzOHQGTk90YDWxY3OSeSREfYcHhjdDRQ1ESegRJ534/W8wOIlG8giPanZOpgAzQakkXztYgyvUM/5WXBzc+hOIRFFLTtqzShrMWObGS0RcrXIcRFjYtZGWBohL4TjccHhmJDXhLwy0uLqczlAnXSHo1HzCKICdgDO7ugTWD5rBz61YK+1gx8JHuf77m/vLh3SXrwHFF2YNfpbrI9hX7HJehvtzcZR9vlKG9la1FyWZVqzrszX7nAiNsd1lM4wADzGQA/ydyqlrdSlAaUa7a84q0OcUpw8gk/EBn7WED2YirP6MhdOBjCDU8ZyOODm5ga3d3e4uUm4uWH8nmNC/Q6G/G7B4f8n+AFRvFMvPs6WM5zE6PNJCcfDitvbA77rBw/47qcjnu6PeASgbH3alFUd0LXPN2K/rcHPMOyA2Qy29fw9yOXTtrljYXS0/qerfdpYGhONzh51DWMv8otGz50nXI2FFwKmbBxbBtAU5NKXoTkdCdZSTSawEqFVU4kpVVCqGaShnMFOLwgKSKiWEqaFJzwTGNfMxvbo6ieZLWeoCaEmAtfwxE186k5tC+9aLKSTcT/b4O/bnlnys7H5Kb/9tO2b/L21h9/b4DQPjGK7vugsY7kKm37erqfMfnKBhwAf3FOuDl0ZC9MR6IqPE8GcfjD/raUw+ILv9BJnh2NGG+bNiYSY5op/Vs9D0cw7xPb3ADVClo8WIf5uzKsfkSK+Odk5NC67L9C+1+hf4qCmilrhUzVqW4MlY8diElGyUXPBq45TiInEjVKAZAh5dEpaeM3iBsWiFcZ/GMlmyMwpXwyYChZL55dFDSMFouxCvynq7a0d7I1e8a3bgspkLWn2pU7gR0FO0NeYxSbjhNUTxJU9msLTkAwj8jKqB6grR6KLdYSn2drV+lCTiloLSgHKHiBnRHSYGDkvWJYVh+MNbsQTm6khpWb1VBpZTZKUzPiDjD4MCVzXgVIKYZJkSfiaCC0xghIc/ZfYq2M0E88h6/FmzHskpI+vT51PxiQxVqj3/DDUL5kHTfp6b767EP8kGKaIO239ciD6T+pR6stKbM2arc8/XaygAdLYczQ8Klrhksyw+nClQarVVGp1UJ+1j/RRAJd5Wifjlk2No4GpARs4Y4WdXtvbsVSYRUo0rz2ze0Gv6LbjNvS5eCCuC/v2E2/xS398sdGpg5hYf5/vSPo/i5TZYxi5QYxOfdYGrkA8TZ0CmDqMWEY5sVHBKJgojCjA03OB4yeJTdTAufzKttYzGZC1czAivpIXG3WlSwM9BM0OfpYDjuuN3Qshc57uBaU0rLUiJ4VYEnPPU22tokpxmnVBysCrV0e8Oh5ws65Y0gE5IhyqJu4EWP/M5Kp6LoJCDGyE9qt2reUjxb4ryi4WUd4956dFAffnC3YI3LODq+tSKUG7BEI0Qp0EMpwkxiIeVMyYd5nMWUSUTEVPBDkRsgjyFP3TWPjJRB44KHEZ3d6D5yQzaY/WOn+5OwTQ521BK4R9rzhvFU9POx4eNxyXxeffjJwY37EkPKWMlTOWtGDNGUvOvf+JK9WVmMe1+UB2RwfZmvK1WvGD9wT854a0VXzUGoqDzJgljTptztTEgKn4VRDtIDo7HVN6n4y+zvg/qM5P924DnZ7WJUivQQpe+jyMgCn6c2WHxEQw/6zjmP6H+H1M0XS1j5ikxoddqhK+mDI8nG1hbCQCagOKaVWpGu0NLmxgTjeLzFTPwylNsFdTtbkGbyK5L9px2smT9sf3ppRUGqIHoakf4CfxyPdT0R71uVB56wuZt/EEguaoxMUSc2FNjMhR//zi+ZO3GYeMPvLCF+d9Xdy2y47AzEga986tj6mBexJ0tEvvbHpx4HnhHp/aZBTFUsMgjjyLEOeICFLYNsagIqcwDRCifv96y3otKA3jACPbTYMr3z+Jz90IVnHA1ONB1h/dY+j+Q8tB81/LfB4dBAXwmY9zCSYwAR/7s3tsYYtu1SFqUGGRIMsFomAehGO/RwPYa2BE7Zq4N+a5Nyin0J6wS12kYtybHmUMDjxJH1/hXDDvm47EGo/wKLkR6ODHVa/jyjGqzXymbj1tdNnHn20aLelX7HGKCahYE8vFXeknebVI2ksDQOJ5FtaOlhisJOiLvt/HruJzQc2w3xjlDdhIUMvunPPWjQ5mK2h3WBVCBKWEJQtSqlhKQ2JBaWo5aVEkVPzaLgxauzeJY3I3E8aELSwyZeAuqhqRU6TUBRFMNdA6Veyf+nxmDq/5zj03mmicjb3Sy/vd4xl9/TKnRx8GiB/G7+elzClh/bMuG3OxnL20iZpXPb4tYEDC7RDAh3oepzRy0ONRnqaWCygCqeQiNyFta3PLyN9xGhYDJFPOAqFHfwPA6GgY+0pHRnqpUOifyvQDiqRbxDgfS013RUw7oem4872b84xeWEowffFTt2EvxHuabIXrq5nG3dR/Ry0XgoEOe4TxGeMOEKdYawdF5n2oUGZfQwb4UU7Of3MbhLMZz0SgJCCONiQHZS5j32l1AtKKhGS5Q553g2w5lUjWYl/6jgO+/F23UAW+9lV08LO7gIkqYJLzdn1QeO6NR8NaBTNMOOWYcTwsWPPidoi3WVDumZAaw5KdGYQEOQP6i4A+KVQJ5VFRNsG+NZStYt8L9r2iFlf1lBEdjPZHzJNxLyak2HGQG0b23vPk/BxFTUzFnHk6pBLY7ySxzZfKyKpoixVlXdUo6OIS7UGLo2x0RE5ixVMjOhTrGPnM08TXolmdVJw+KqgE7HvF6bTj8XHDu3cnHNKC49HG8HrM+AInfC0lLDljXRKWJWPJqTtgVBXVqYMliqB7Q5hKrkX63zVgexS8poavl4b/1hqqxJzttZXUC50ieRBPYKqIZyR2e8Ltj157AkCi7dMH47R9W4MfdIM6JhjPa4iOqDHBRIckXFiF8MmNwkDzb/eOHO9ptnP76wAzw/MyTVD+pXHs+UxwkdMAhRtcPtm5AdblWHUk7aoKtLnqjVaIEmob4KdUcbWriVDTUb4lBwcdLic2WUEHOPMCyyCALWScE1sRVmYkFgNNYde7spvIyPlR6EWi7wVI7fZJX/H66qRxQ/rT8HfMf/xUI/F6taJo6OlvL65i3cp9tktm6pGfeU0HtOfzgMYZUm+gy33F9+bj22e24F2ens280VZEuCh62nnvgPvg4lKp968wGLpN4CcQ0ur2jgYzK8aUP6tEvMSMBk/BtYnUaWThXZ3Bj8Tx41pngwNTpIHiFnn/xASA/LiiZoAWBchBkBVA1wG0yNolxRFoKOCYBCv3yE8QekhtQbfIEfXIz/Cejm5HfZ5xkIow5u1htRtcmp7sb9Kv3ecYgdGtel+mq6DmZ7CkeiO+bNoqnhvjI+VVfQAGMdEMjuhXCoDD0HfgG9QxiwSaoascoNwX007jgxlRCsshYLlUlXK6DdS8uqUa9DP6S7ECj568T8TIOWNdHdxSRqIGThXbVkEkyKVBu6Ed/fVyDIXJAph8P8PVwcRkZlOzvEhNVlmdSE1JjIYzwsMbljcHBQn1fV9TcTsdELbejHxOW8T7uI2zHJM05l5vIjfTNNEnDnvqugB9AI2cmEsil69dL0yaIoTak4S5P3f/soglpIeITXP1yOo1Pop6tIf656oKqZEPQOgxXjIaDnn+SMyRfT2gMR4upnuNGSUmXaOBq7f31IDj/XStevGsk5M07tnkpX/eRM+XEh3z6vu3sAcu99Gdn33s0vTdmWI1PPzq824vkikD+Fw4rcgvqkd8poRUl4oGNyhVCDGE0MtZRCoMedFSi3573RxOgDY0TxYU9egoJS8AapGhNc6TAcmCtCw2pzr4+e7/a8X3/+ARKorjG8Evl4Zt3bGuBoCYGIkZmTMyJzDYDX5XsJUKJsISIiqLFVw1p5JJNItUL8lBEEne/7Jd3NcUenJgU4GyK+reUHZB2Rv2raLuBbUFbdPmFZ+MRlt3Z/FkU9L4G7qSbvTJmA8i78adOap9vQRZ3SKjMZJR4GLdI2NgVGkorYAUqM1OjJMDn2TKbBZZZ4Cbz+k0chQpKJ/mHLe0BGtbAz+C7VzxdCp4eNhxWDYAlkeZVsKHTEhLQs7jseaE0pxKCPHixg5+1KNeAcRgAK6I4r/sDV9kwTeqgVrx3MGwcax3M7ILcpgVXMF0BicfeyQAmkW0grVE/wdFfoBpyoqJsc9qeMk2+OTtcj6yj7yzO5DundWQ+gA+3Cf3AYDYvY3dlg4jGbigSCkAVN+pR32UzVNNCqA1aHUTVBSqzeQ7IagOfmoT7FWxtTYUbnTwMG2SHxGczIBkxZI8iO6LtA1sj+zIDJSsbtCI/LjBoxEmlk4JUQm6QRhbk5FwuRq9vOkLj4vG+p+/WTX7DgMcXOi4j/126ov97v3pHNcXKAhk6SaCGU+k6HlFgSriq+4lZj8vHwnoKjRsoDnsEBXqfVFBk8LgGDvh6QeoUwpAw4PUw84+ICJjgMIrHobjZAKEilCMnwBA6smiHRT4cxiXokZzS2qGT5kBEDnIwKDTDEAy0d7ckRA4LORFWhhEHnHtXvpo54h6XNwrp+cRXBLZ+keP9ETya3ig2XIfQnpfFO5ht73JSx3mW7J1E93fz/QJBwli1AESArEpYpIYnQKK4dS4kjYVUQhrX0iFx/VGN51pb+zUN5Al9DbxauDSzOio1Wr3OPXLBAwW6JpAeUFeG3I2qgSnAuaGlKoJrtSGVgS1U4XMkLcW5uHEUrZrJQMyEILm5P3cOPqjPpkbpOr90vNaSMkBnFPGPnU+ov7/oIAB8w/7KwedFKj6k/botGTx15fnMY5JuP7b2ERMVvZ9mzY2x1Yjp7i54qfAIj/Var6ZQEiyKJAKVNIkejDWZXJjjNRMdx0Dy6XEY52I1/DpgKdm87XMjSu4Edn3g/6j/pO+5k7N04M98/D4hLaK/YTvtENsff6dCaP6i7Hu0/T5cyGT7lrqzgVAEUFLQii5ma3B0b7dcRoPTM9wyhsBVHuEW1mgyeY9LACy359EVieHAV4EIAMCcABcGyxCSBWC5BRL5x2w2DjPCl3RnSoAsJUjTudbgIAv/hDw6v9uOHt+31oKcspYlwVryljygpyysQ6C7aLN5wWAkxc3pSjHUCwa4naIen0plQxoBj1k6G+oFesuQC2Cchbsm2LfDPjsHoUSIbQWkV2e7mGsKb52zpGfWIPJ7qkVeLZ5JJyaBtAcxnvkx+ozue0IMrU67y+GNd0OVMVed3BTUBWnb3r+loMeys2ZB1YHKvK1RDABBHdOB6AM56YC+17wdCp4fNjw7uaMdVn8nhygN0DjhJQWrGnx6M+CdVmgqAjaW20VXNgozNI8EEET7U1QS8OjFpzQurJqJAYTnLJLVquIELZmA6i4SIflJRIJQM3X4Yj8lPcP3he2b2vwo8/exYQ0oZdvdrvu1y+999cBctiNp9BxZ1f0AOaJbp4ZJ0MLCrVqlo7UbZCgKVQqtCWwyBQYnoxWXO46jJPqqmtNFOfUsOSGdSEDPEw4mBUPghVMS+zvfT9h8LNHfHJitKa90rPZ3C/n+3SsEwYtXgBAn2ebfnN9a1+61Z/5EJ+xn1g7a/8fmOwTurLz/QwGlejZn54dd5jCl38KIEEa0ZLgvKH3oeiP5rl2Lnd00J7Hw32SCU9VJAn3atHzz8J68Il29NFpkeVhSMerBlgOjaIDAeM0aG8zwpSjMOWagQatJYw2WwQG7Q0y8n1iMQmQF+cfL0Ywc0S5nF/hTwOkdy9Vv8t+vWHq+L44HNkMjyx5VJDHudr10cV97DaWG25zLxk0qN/upPW+bXi1zV7U/ilTcPrtPOK64ec6wMSU89Ot0nH/4x7HPTXnkMI8dCOxu0nrAi4kgDKjlYpWjPZmxrSdKTGDlJHIcgpqI+QGLKJomSZhFY/laSQqv2DNvjQP+diJhHGwkwPJIjSayHJdWEfhVlgkhPz6+lyJ7ryM/+zzycANI733+Ti1awP8m9iMjjO9p9GvRsRXL44jAtRPcJaqqkd8gs6skOIPl3yXCq+L5YCy54fNYMMGF0X0XG3M9nxyHfdEp3DX8yiQUZYIZBE+7RDe+iChR2aih0fr2N/6N6em8j/os1v37J6M2NrVmvvSvZt2Fgbt+M1wsowlwhTGRF1JsxWjeznR2PIeXI0QDuSRLMG/CxZot1u69Ka/DtECkEC5WfSWLAcIydZ/SQQs8Do5GbrYMbVYyYsKB74a8XmBFTuwRmAAkkx8AEmnvCIyYYNqUtd3tyu+84tHPGx7p7zlnHBYVqx5wWFZsKTsQNouy8Y1MHKgbG6qUlEbsAkANFR4/gx5FOk7V3z5sOA37xraCdZvd0HZgLoJahHU4rULqytBNu6gvS/udNmjpqQ0hHOSbDEwB6RHO+YcgPGLWLv8XhI8R5stJ9ujbz2/gICtErgIuDRQSWBRpGxAkBMh5ev7bg4/bmpgtrkDgtRrarkjAnYshTnRt73hdC44nQpubzwqo0BzGfUlMZaccPDIjzjvTWE0xVIKSq0mWuOPbd8gXCGpQLih1WIgJjCZTxZCFnFXUCywfW44ccMDA4ckIBJbt9BAHK+tlMXn2b6twc/lRtPjpffv365tUb16XKwZ3qfnidIB7tWOgmoWHnbEHHx5sD73Ouiw3m9/UvepMECpAsviRsrkQVOAmoCbIDVFaiZ6UKqAq2AvDaqWM1SbYtsFTKYJKE2hB5MtzNkGwnVzRb2fzIzGCslqNDjmrpxynfzcPXPzqqBXz9evX3r/GbZvubl4vUM3XgRRJ8I+szE7Bv6LO1KYWh+iF0zHeNY1r41lQqfMBU1Gpx8GniAAPqER4Io8GIuec+8pOmkjo4GF7RoLtNO4x2KJPpF2X0Is4GQLW0Q/bXyok3qkT+xhvIzrGsYye54PTZfpu/YJcQAy9f1V94bWKALnoIQ1epp2I4nMqgUiy1kvz2Kmgflagf6TvuA5pU9HxCiceabSAzPoEoETXJ0RHj2BR8z0osbVrII4NYlf+2/TAv4Wb3HNlrOkQ/RAAE2eFxTFgIYWLIbpaQqRVj9jx76fkTKGYiUDmQlSpdfuMWniKJbsCpbitcVKtcTkvVmkqFWvN2aKcK0WjxzxdC408fe1171qrbmqkQOm6Juq/fvqgI7ZVDY5xZWJ03p53EsNgYUpDNOXIh9jGv3Z6JZuP3aVTfde9O+//65cb8OQHoec9sFxjld7agZkbDN3gvYYroW/pJjYiVSx+lfVftOaGZJSvSuLtXso4s3rpUXLpKdkWdQHPo1pHwPXYKc/T/Ngd6bRyIccOTIYhuY8lq7WnDjmRbTZf3vRRNP8GK9edFD0633/vaHLt33eHnPijoYzipxxamec9wVb23FuO6rsaLoDVPt9AolH6smpVj5fsvbcRQrQGVE38ijBlDMhqUK8H1eMDEQrG7uATCPT5uCkHlFRaArmg5iTYHpogkWVQB6EXTDi7oAsjN/94YKH8gopLTgebpET43VOWFLG999lrFacEKgAzm5PqAJoNhfFWtM2/EoFHhpwqhWlMpYDYz1kfHCz4rs/PODDZQXfFfzq1wBUQd2AchKUs6JtilYEUsUVJa0Pi1juCVQN0IhRBD2IDFOOc6cQjKYlHsMPYQQBrnrLRE3HcCup3TCL5jEhL4y8sivaJVACzoVwKIpzIZx2oAgb7dqV3YwORjCdbwaQochGA2/NlIIXQapAcod3ALQ1MY7HBXkxB1BpFdtust/ijJHKhONCWBfGMScc14ybw2KzRbP70ZpAtOB8PuPx6RHv3r7BYUkAFRyyYM0N66I4ZKdEO9eagT4BajJKvbDbNAXIBTg1wSkzbhcBc8NOgm9wxW+xrz8A/vv6wvD7hO1/E/Dz8mJxCWqeWbU+FHtWTp/YJvziBpoOQwC2sMxz5vh6XxojrdYPFV4AQzqdXtSpQX5Q9qFDIzU8tPY1mzZ6T3BXgJWQxMBPmh5bbeC9AtS82raZpYbsAah29Tfy3B9Rulww/QLDM5qYsCSr27AkRqIeg4i1/5LGQBgL1dQ200oxjnP9/ur1++/h+7ZpiZqbHsPmfGlX195TYNgho0je+PFlOg89M/QD9ITRM4OeDlDwvJ92+uH0yvZNfcHrfbHv1wyCDiac3gCKuYHQV7Ggpgk6aAqmDTsIivMzL9Z8DPTjzFjZOMwGToYpObXOFP3ptprTxHpbRNRRJxDk3sPmJyxKpi4YlhKG73eyluKkMEJQwzyZfcO9n/u9Hq6Ky14nUSgw/srD6xYP8vw3806rUcpEwo7stKF+5lOexkVPemb8ftZ+f73R1fNogTAgL4ztETbzQM6I6EVnH5Hd4dzorana83/skA0iBkpK2bFtxtluycGPP2v1uiZR26SLqBhAKU2wt4Z9b16FvaCW5sCnOAhy2pwrFI6phzqggY4otRXmlIt+NCYH7QZ1bBb5GaDKqI3NjBhFn9PVoxMjrWe0L8cuxfpZz0+dOsCYtwalul9K/O8Xp9N35x3Qs8/n/jwOpt4GtrnLQjyXDwJtDVrtOwZ80EGpFvjnTr3yMWa5PtZfLiikUAOPHvFRQXfCxBhV6MgVVTyPAs2fU4Ad6n0y5gC9aqeLy+5/1+Hdj3MH9T4/fjONoee3C/EhTd+9glDTrYlxhj6X2iUKFAWiZ1Q94dTOeCgZu1TssqHqBtECsdgLLAKE3r8oGCYEq3VDQK/z46DHIgsOklyVUrkaHZiq10HzOdTHtjnSTcymklPoiUw4AeRUV4vKCtdeeD3qspG/NvAzLKzWEvgrR/y/vjPj6791NOcsGF9226f8Lsa+eEc+KfSjmFPCxdb681IIv/c3FO9qw8cl4+u1Ii8Jv+u44Ad+YEH94IBSDviSEn5TBada0DagnBR1U7QdaEVdwn0avz7HxR0XKFhdNMf7tnj/IzLgw5dk7qknXC72Cm8fhRcpJwzww0YrOyQcbxMONxnpQDjvhHVXrDuwFMFWxxrsP4fl63mOExIUGaSWgye1oRb0CFHy+Syx5VEdb1bkJZmdWF21zesdASYi8b2J8Z+XhMOacVhNdKK2hoKG0qIMCnA+n/H0+Ij7w4KcCKo7jitwPBIOK+H2YM52diU+VuMzgdRAM4nJpieAK0yE4leAt79X8B0L8MCC/8wVW6poqUEc/JyW2en16dv/BuAnJhzq72Zf+2ys4mIITpMRZqrLMDZng9ltswsDOhKf5+/HJjpSSH1aNWNvpuT5Qcc6Sb4ghOfarNGUE7SJhS69b7CammQN8CPawY8BH4ZI8XCu0VVqU8D59qXZRJhTwmGN8/Izjgv2lmGvoaHJ/rSwIPuESv79qKUwbInnC9AzZ9y8Rly/fmH9+ESH6OU3L471wrr/HntS3/M5ICpokyQjMEL6c6+7NmQuHvO9d5tIMYz8cQrxevq1jh+SjoUYhNF3I2eMYBQeQs8BQhxnyvvp8ssIr6H16QA/c8SnA5+L6NA8Tjy6AcdYGi0S/Hz1NhoLWbcLY6AQXeKjyfCzOkNWgbypCy/4KfWoqxuwvXZVUO7UjS1CP7612ehoBL/+MEyjVZUAr5/Q7ScCkCxJlRKDs+f3ea4biRlRFMDHec3aMCI/o1M879f0+SbxT9+uJpxPHFyEefGmMEzdKOhu/X5P4c0eQhCxb6fYSDWp2rJh3zdwNv64JIakBElGydAqkNaMPtWcn9/EF2J77F6LovZnS5jtUaBWOz2mzy9hbEQRZrX7EZdhTFBb4O2yrAd340etn7PPy/BvmnLSmGe8mzj1cVpL3HOggHk0BZ3GGs3stvw0N9AwZqfoOvpZDgZrz+uLseQLSleNi4ivYtyv6A2iaF4aoZNIe30TgRSFeg03FaO6dYpzmSL9Erk91HPZ+sIGAC6qAUGX4Y1r0rAEHXwgonTw04jXijEHKhB1iHpf1P5VhPH+fH3xuQDz38d8cbEm9flrHLev9tPcdjkBq89JdLGjiQCNmGtjf9r/Vaie0fSEXU54rBlVG0o7o8kZggLAHJpxdIr+FQ6ryLEjWJSHoi9FDaAhnEBkdXsst9jqpzF8QfDOpWJ5KRWEljzfLwAOLPStHh0XMupco6ESSxR5p2PpAABpGVsjMB3wpe/MUEqoQnh0x1bdCXWzQaHcoB/WXtdFUA0sqQHBAxGO39lw8z8qXr/b8X1ngq4J6Qczzl9aUMoBUg94pYpFKlAZsgH1rKibGdY9gimX4F37zdae42sfGrWNfd22ZZUNIEE79fna4Bi0eRvFTRXJKYRmHzKYEpZlwfGYcfcq4eZVxuGYcCrAsgnypkilYS3sXXOehxmCBXBKpGoCmlFX265WKiB7/nZOWDMj5+QCEgtSZoAUpTXstVh9NQ/XykKQkrDkhHUZkZ+9FKgKqueG1tawbWc8PmYsCwPUIO2Mm2PG7a3V+mlikT0Ge9ZYQorczARnrCggQKqEWoH6VvGNt4rvumn4ZRZsuaFIRflvDfVkTKby658PzvxvAH6AC4vywnq9fv/yNq87ev0c89u14eyL1pgRp9cwg0bUgzkTKiK6PN7lJfgKRnZgUjYGXCQBSzwUSSzhNglAIsjNHyIgVy5qTbEV00gXURQVNFLsRV3hjXFYF9Tq3ksPepMf38A4uXKTGYKUGTlx9yJZGw2jU2Mx6Y33voa9eo7XL9hl/9O2l7qKfxa0N2AyMjroue5z0/86vtmd7GHYTFjTnilWVoTcp2Wn0kUf6q99wQ15TUtkHYBCecp1jAnWj6eEzrn3yL7hphnczJfpFz6DEqIJQiic9jZFNibPLc033MM6F54ruvxzz1Wa4Ir10QloDzNr0CJmj71oX7z6wEOMvzCAHJB50zPH1+3Cu5c97hU5DZVhCjuJwdkAEFUzHJRMQBtCXoxILQk3clTids68/Lkj/C+yxX10RhPUFc+E7TpAHslKc6xvMvpUvIL6iPwQKyQnaEoQzgZ+FEBVy6Z2RUtxw7zWhlKaSaiWhlIqavEiuw58Wo3n0sGPTBdhNSh0Uqa8BAqXs7+4gQ+M0gAEsAnDEJOZN2QGv8BqjNhObS+sCqXp5gZy1lA7M3Alg/dyRXt7/6r1SV0kaMt9PiCPZIhRV65rNqootMSH5vqW5gV6YFQgrTKURpuY5LUbJlarZLrl0YRXkzi5DDpSGMCEAAoj+uJPgb3i9Uz9jfkghnhEafqQ137oucTC9OH0t1inJpAY4EjjHG12n+ehsatLi0F9/+T7n+/TvCLEfQnHR1y4JcQ/oekTSjvgXBmChiobmm4Q7FAUu08OgCxaIF5HKwqdxjqT7BjJKE7sxUotQKAIqrRw9VW/oYIR2p3khrzR3nwOTkDTUM0MipJNhpKdFpcATeQFT+HjAL4va98mCbUtkPpdqPIhqtzCpk6GgNHU68UxIPQI0NddjVIh2KD6W1CtEFQcMnB7rNh/sOB2Y9z8Fwa+h7F9mFH2FWVfoXLEAQLSHVoZxWlv9SxoZ5lob8FccPomuK+NltviwDH6yURcs19Zrif3z5/f/2nII4Z8GANMCcxWW+d4XPDqLuP1FxYc7xiHXbGcFWkH0qbYyg5V9BhY1NRSuwH+zM5GAOqiyIuiFsWyZC88nbGuBmRWTshk9MfSmsl+N0uZAAH1uwj0kdHeDsv/v703D7btqO6Df6t7732G+yY9Cb2HQBODJbCwjcEGgeOkYhWKQ2Uylaq4FCIn/pIyEQ4Yl4OHOJMLCztVSTn5MBm+BP8RY1WoAjshxIkiMIRETDJgBLYAg5GCNWCkN957zt7dvb4/1lrdvc+9T+89oQHx9np13t1nnz30sLp7/XpNDeZdi8Wswar3CDGCBoCTzM87OzsakCIhhhWGfhtbWx36oUUfWyTMMGu9hkdv4MnDsxerk1Z8kERuIXg1e4vrhBiBh1vCykcMD0WsvxLQh4gYFPyccqN2PxudF/i59dZb8e53vxt/8Ad/gMVigVe84hX4pV/6JVxzzTX5mtVqhZ/8yZ/EbbfdhvV6jRtvvBG/+qu/iiNHjuRr7r33Xrzuda/DBz7wAezbtw8333wzbr31VjTNY8Fi42ViL2CxKWcbTqm/77p4A+DwxkNlkhuvUhn/MOV1zABQJaaNcFI53ljxskmK/JbNgHSDLgfcSgxOkoyMkmiHDPiEwJiFJNHYLEN6irKDk1hi7QdLjsroQ2X7DgCaCThobiHLbp/UFMJCW5sZyeakL+3Ju4+/USHvbHj2MT/+zA8u+VGKLG33mKIb9UKuv1Auz7jXx11twooxGhVtUCWw54P8fhWURpF9kJ33K9VjWWupKonDuK3MDK2S20YAaPSb8rFpa+rn2rVZsNfnbpq5VQCrKB4IKHKkFt/alJG0jY1L8y6qvb+WUGg3IzBQaaI25gFCpZ2j+mQpECVYNnNyrnyIkCMuwQaqaemovIg3Hrsxf0ihNsp97irPRyWbeTYfl8O2Vuf2mkfLL3tTHt6V4aNoBjSyj2pPXZQ+IMegpCA/RGDQ8MnqtxhCytnWs7bdxgfMLMyYp+yhS4RA5ZJUgZ8qFxlBzIXgaBSUYFxPaYX8syOZc50KiU7C0sr6IIJD1obUJoRaRANdpXttDGnskEoDav1RXZqLxdVvskS4fI3NLM65HDb80TosxUrzYzmboi4yGnxC6qSBKJgra23KPhCZ3O71bW8qc1sGHMxIWSuEohWC/M2ghJGDYrAVfYRMypxhoMTqy7qYc34p8qadqY/qR8kFpNdVWq38qrImGA+SaQ/yr7tmfBQ/HG0kSpCQAitE7GBIXkRqHsA8oACfAEKsNo1cDulvQZYEbxMsRK1EIGPAJZ26WXlNRHHTVSRRU0Nj8YEV9rACoOQguWX0TpjZGwB2rOAnKYySecWgtXNrtG4bAOBpJhsH5JDiPoQ4IILERB8aip6EL9nPwdQA7qSamvaaeFly3gwuoecEjwS3j4BrAZ4R4kCIySGyJIS1PIlxSJLQc6W+g6oZgQaSYlg0vVL2HGa8WrdqKwtr+83cP8b9VMGcmmvKh/IH0MAH3qPrPGYzh8XCA00Dbhpw38J1Ed0g4eUjM4JG2k1MSOyR45cr+OFIGi3Yw7uEbtZgPm+wmHfo5gKCGnbwwiJomdAsxN/IN5J7SLThjMYR2tZh3jVYzjus1gOGkLDuSec42ZiSzS6AXBSAjgByHeACnE8IsYGHR0MNGmrg4MWXnD184+HJwaey0cERSPcDDx5ixK8nDF9JWK8i1r1sfAHA0Kva6BzpvNDGBz/4Qdxyyy34nu/5HoQQ8LM/+7N41atehc997nPY2toCAPzET/wE/ut//a9417vehYMHD+L1r389fuiHfgj/+3//bwBAjBGvfvWrcfToUfyf//N/cP/99+Nv/I2/gbZt8Yu/+IvnU5yzUg16TDDa/LtJtjjV8qqds4VKRQi7QwdN8dOx81z9Rpm57Z4ifO1RiurQIn1hNPhU/swBCWRGIrHlZY8006SmEA2PhR+Mg0RcSkmsfEMC+pCwsw5FEM1F4Cw4xJgQg6g1d1ZB7O/7qAnBUnbsljVkNxDi0QK0R0ftWnGeAtpL4tslfZztAdAF1Eyn5N5sWFm/Y7weFt5JKjCn/Ljx47mYUea+chhpbTgvjhblBWIKZwuzCjJ541Z5y5GyUWV6k/nNJB2CgIesxlS+VyBkIlcGOmoHlAEQeNwGZZ2Q5xkoqwewCi356VSac9SmrgCYIhsX7U4WbvKji2ZpFOGnXsg2fJWKBWJZ6Ow5pTBlLhjJ6CTtaFZCe+OauoTnwnfnQ1Y2eY8J/mXRPjOZRYxor3Tjg3T8k4hP8pu2qDGXRvoi59VJWJ4ROYpWIsjuK/cD0qChq5Mog6LuznvnJR9PUxqRNAIBqT8VR8lxljRKQ1TBfRyJUgR5qIlP5hXs3guw1jJ+szHgkg5PJ2KiCeMiv9PI5+1c9nlkWG0Ix9bmmyWhqhdJ3MjHOUdQEi06BzZwwxjLX4B0ZuXzwxINoiCP3OE83pDQuYpsDiACyW6Alrz0sZjDFhhAFoVFXqnndSAzlTyyo7+V1oVF45b3orRzLAeTvFj5TzugaIG4Wn84dxDbtRUgynP4hsa9Bq7jtYyrWwuv1VTaT8G7E60M6ZwAF8DYQUKHwID4uAQkRIjJ2wCJ7BYBb/O6q3x5ZNKXLimTDikgHYvjpoOwSU01kQAQGS4kMfVsCrB2GoFMIZRGjJOx4FqIGYpLYO/A2sfWQn/45VN45KSsK8/5tjmWyx5t/0cS9au/CgPWID4NyfESEfiP4NoE10ZQE+G6CLiAAQGRAxIPCBzhaQXnV0h+wOASsHCgaGam0obOJXiOCMOAdb/GarXCznoHq6HHEKN47jkH8m2JDcLG41TN3+aD7QDv4LzX8OBe+N6CStja4QjE6p+VrPVlgWOFnJs6c/uYGaPzgG8InXNIvgV1jDYCfWwQB8aQJNlzNK2sgR/24ERoHdA0DdqmwWLGGLaAbtFivuiwWHaYLzrM5o10XQQoMXwAll2L5YE5ZvMWz/PA6v4I9BEOwMx7LGct9i0XWPcBQ4hY9S0a1+d1JaWo5skO/dBj3TP8OklIbp8wxBYtvGh9qEELyR3UokVHLRy3os0EQSJIEvi0Q9xm9H/IWO0krFYJO6sBvYKf1aqBxG0/Nzov8PPbv/3bo++/9mu/hksvvRR33XUXvv/7vx/Hjx/Hv//3/x7vfOc78Wf/7J8FALzjHe/AC17wAnzkIx/By1/+cvyP//E/8LnPfQ7/83/+Txw5cgTf9V3fhV/4hV/Am9/8Zvzjf/yP0XXnGbJhT6qBCOnkKQtDVkhy8S+waTnfXQlVtfYmQQQr9dWETScZXFXvtwWs1g5R9f+ZosbsrgmZfFnkPwC2hpCaK4kHHUDkwG2jDr7SBs479L3HEAIGGiSCSgAYDjEx+iFh1cdS8koOYhbtUAzifByGhNV6QL8OGIaY7cHHwKdUqF5UyulNAFR3xLhlaNfB3u00ehrv9X3z5B73mZy7lww4XvnLuRLCaYTfxHHWUm7yqFYELr44RKPHZj8iXXzzzmdVXuGrIpCTCjxiSsW6IwdxbK3LBDODQbYVTswbwrwsUBncqL9LnUU8RybMxS+CvvCqPUcFUTWzkHpXHaALp9S7Hh11g5TLszM9tE91oBbfKwi4soXLUemfrJ4y0cfa2DrODOGKwGBCey4rKiLoHOPAWehLecwV4ENZ6rCcYdZnNqds8lstNMm4t++jgQnsYuLq9+p7ve
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Line #8.        num_workers=2*num_gpus,

IMO, instead of plotting the class distribution, it would be more helpful to explain some of the parameters, e.g. the choice of num_workers. Since you're using GPUs, it would also be helpful to state at the beginning of the notebook, what are the hardware requirements to run this notebook.


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Alright. Will take care of that.

@MKhalusova
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Thank you for working on this! Loved the style, and detailed explanations. I think we can skip the distribution plot in this example. Left a couple of comments in the notebook too.

Added the torchvision code for resnet
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@merveenoyan merveenoyan Feb 1, 2024

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Is it possible in this notebook you could add ResNet in transformers as well? https://huggingface.co/docs/transformers/v4.37.2/en/model_doc/resnet#overview It does abstract many things away compared to torchvision implementation. You can also make use of or demonstrate the new Backbone API: https://huggingface.co/docs/transformers/main/en/main_classes/backbones


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I think this comment of @MKhalusova wasn't addressed (this cell should be closer to training)


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would be nice to have them side by side and smaller


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thanks a lot for working on this 💜

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thanks a lot for working on this 💜

As both the torchvision part are almost ready and for vgg 19 reviewer comments are also addressed almost. So you can expect vgg19 to complete by eod. And for resnet also as the overall structure is same so shouldn't be any problem there as well.

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@merveenoyan, except for two visualization problems, one is in plot distribution and another is in prediction. Everything I pushed into the latest commit. For those two viz changes, I need to modify the code and run the entire notebook again. If all the content is right, then I can make another final branch for vgg19 with those viz changes just for merge purposes, as most of the changes have already been made.

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it seems ready to merge to me, if @MKhalusova has no comments :)

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"In this notebook, We will learn" => "In this notebook, you will learn"


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Done

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{"cells":[{"cell_type":"markdown","metadata":{"id":"Z-lBGA1trGZh"},"source":["# **Transfer Learning and Fine-tuning**\n","\n","In this tutorial, we will learn how to classify images into different categories by using transfer learning from a pre-trained network. We have already discussed various pre-trained models and their architectures in the **\"Common Pre-Trained Models\"** section. To recap, a pre-trained model is a saved network that has already been trained on a vast dataset. Transfer learning allows us to use these learned features without having to train a large model from scratch.\n","\n","In this notebook, we will see one of our two previously covered strategies for customizing a pretrained model:\n","\n","**Feature extraction:** Take advantage of the representations that a prior network has learned to extract relevant features from new samples. To use feature maps obtained from a pre-trained model on datasets like [**Imagenet**](https://www.image-net.org/), we can easily add a new trainable classifier on top."]},{"cell_type":"markdown","metadata":{},"source":["## Requirements\n","\n","Before diving right into the notebook, ensure you meet the following requirements for efficient execution:\n","\n","- **Google Colab Environment with GPU Acceleration**: To run this code efficiently, ensure you have access to a Google Colab environment with GPU acceleration enabled. Follow these steps to enable GPU acceleration:\n"," 1. Open this notebook in Google Colab ([Open in Colab](https://colab.research.google.com/)).\n"," 2. Navigate to `Runtime` -> `Change runtime type` in the top menu.\n"," 3. Select `GPU` under `Hardware accelerator`.\n"," 4. Click on `Save` to apply the changes.\n"," 5. Now you can run the code cells in this notebook with GPU acceleration."]},{"cell_type":"markdown","metadata":{"id":"16QQmZ-zriRx"},"source":["\n","## Set-up environment\n","\n","First, we import the libraries that we'll use: **torchvision** and other helpful libraries. The [**torchvision**](https://pytorch.org/vision/stable/index.html) package consists of popular datasets, model architectures, and common image transformations for computer vision."]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.502241Z","iopub.status.busy":"2024-01-01T22:27:10.501838Z","iopub.status.idle":"2024-01-01T22:27:10.512548Z","shell.execute_reply":"2024-01-01T22:27:10.511287Z","shell.execute_reply.started":"2024-01-01T22:27:10.502208Z"},"id":"2NU0ULaJRX67","outputId":"a9d86225-0a72-4dd3-f871-d236d5f679f0","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["cuda\n"]}],"source":["# General imports\n","import os\n","import time\n","import copy\n","import numpy as np\n","import collections\n","\n","# Plotting imports\n","from PIL import Image\n","import matplotlib.pyplot as plt\n","import plotly.graph_objects as go\n","from plotly.subplots import make_subplots\n","import plotly.express as px\n","\n","# Torch imports\n","import torch\n","import torch.nn as nn\n","import torch.backends.cudnn as cudnn\n","import torch.optim as optim\n","from torch.optim.lr_scheduler import CosineAnnealingLR\n","\n","# Torchvision imports\n","import torchvision\n","from torchvision import datasets, models\n","from torchvision.transforms import v2\n","\n","# Enable CuDNN benchmark mode for improved performance on compatible GPUs\n","cudnn.benchmark = True\n","\n","# Turn on interactive mode for matplotlib\n","plt.ion()\n","\n","# selecting the available device\n","device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n","print(device)"]},{"cell_type":"markdown","metadata":{"id":"xG2iGAkKq4cy"},"source":["## Data preprocessing"]},{"cell_type":"markdown","metadata":{"id":"qlFgv5DnIJr2"},"source":["### Data download\n","\n","In this tutorial, we will be working with the well-known **CIFAR10** dataset, which features images of 10 different classes. The CIFAR-10 dataset consists of 60,000 **32x32 colour images**, with 6000 images per class. Our main objective is to train a model that can accurately classify these images. Further details about the dataset will be provided in subsequent sections.\n","\n","**Note**: You can download the data from [**this link**](https://www.cs.toronto.edu/~kriz/cifar.html). The data is also available on the 🤗 Hub, and you can [**download**](https://huggingface.co/datasets/cifar10) it with 🤗 Datasets library as well. We will use the **torchvision** and **torch.utils.data** packages to load the data. You can learn more about loading images in this [**tutorial**](https://pytorch.org/tutorials/beginner/basics/data_tutorial.html)."]},{"cell_type":"markdown","metadata":{"id":"nMeZUupfSeAZ"},"source":["### Data preparation and augmentation\n","\n","Here, we focus on optimizing our dataset for training and validation purposes. To achieve this, we use PyTorch's [**transforms**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#augmentation-transforms) module to implement crucial transformations. For the training set, we employ [**resized transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#resize) and [**Autoaugment transformation**](https://pytorch.org/vision/stable/auto_examples/transforms/plot_transforms_illustrations.html#autoaugment) techniques to enhance dataset diversity, which in turn promotes better model generalization. Furthermore, we apply **normalization** to pixel values for both training and validation sets, ensuring efficient neural network processing. This comprehensive data preparation step lays a strong foundation for subsequent model training and evaluation.\n","\n","**Note**: Normalization of pixel values involves scaling them to have zero mean and unit variance. This process helps in stabilizing the training process and speeds up convergence. The choice of mean and standard deviation (std) values for normalization depends on the dataset and is often calculated based on the dataset statistics. You can find more information on the importance of mean and std for normalization in this [**StackOverflow discussion**](https://stackoverflow.com/questions/66678052/how-to-calculate-the-mean-and-the-std-of-cifar10-data)."]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.531567Z","iopub.status.busy":"2024-01-01T22:27:10.531155Z","iopub.status.idle":"2024-01-01T22:27:10.541219Z","shell.execute_reply":"2024-01-01T22:27:10.540399Z","shell.execute_reply.started":"2024-01-01T22:27:10.531531Z"},"id":"zKmneetndDuQ","outputId":"535d6ea1-2f98-45f6-d859-bf1bba3e1f5f","trusted":true},"outputs":[],"source":["# Classes in CIFAR-10 dataset (airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck)\n","NUM_CLASSES = 10\n","# Image size for VGG19 (224x224)\n","IMAGE_SIZE = 224\n","\n","mean, std = [0.4914, 0.4822, 0.4465], [0.247, 0.243, 0.261]\n","\n","# Data transformations for training set\n","train_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.AutoAugment(policy=v2.AutoAugmentPolicy.CIFAR10),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])\n","\n","# Data transformations for validation set\n","validation_transforms = v2.Compose([\n"," v2.Resize((IMAGE_SIZE, IMAGE_SIZE)),\n"," v2.ToTensor(),\n"," v2.Normalize(mean, std)\n","])"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:10.543844Z","iopub.status.busy":"2024-01-01T22:27:10.543556Z","iopub.status.idle":"2024-01-01T22:27:12.148539Z","shell.execute_reply":"2024-01-01T22:27:12.147519Z","shell.execute_reply.started":"2024-01-01T22:27:10.543820Z"},"id":"_xbD6GRmY2dh","outputId":"957c5070-4835-4095-81b4-6f821d65d4f3","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Files already downloaded and verified\n","Files already downloaded and verified\n"]}],"source":["# Dataset for training objectives\n","train_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=True,\n"," download=True,\n"," transform=train_transforms\n",")\n","\n","# Dataset for validation objectives\n","validation_set = torchvision.datasets.CIFAR10(\n"," root='./data',\n"," train=False,\n"," download=True,\n"," transform=validation_transforms\n",")"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.150013Z","iopub.status.busy":"2024-01-01T22:27:12.149724Z","iopub.status.idle":"2024-01-01T22:27:12.155700Z","shell.execute_reply":"2024-01-01T22:27:12.154673Z","shell.execute_reply.started":"2024-01-01T22:27:12.149988Z"},"id":"WF5vC7MI7m7P","outputId":"6fc5b39c-a4ee-4104-babd-c39f7e0c4840","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Train dataset size: 50000\n","Validation dataset size: 10000\n"]}],"source":["# Number of images in each dataset\n","print('Train dataset size:', len(train_set))\n","print('Validation dataset size:', len(validation_set))"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:27:12.157207Z","iopub.status.busy":"2024-01-01T22:27:12.156816Z","iopub.status.idle":"2024-01-01T22:27:12.167666Z","shell.execute_reply":"2024-01-01T22:27:12.166592Z","shell.execute_reply.started":"2024-01-01T22:27:12.157178Z"},"id":"1iWGmNwNwLuC","trusted":true},"outputs":[],"source":["def plot_class_distribution(dataset, dataset_name):\n"," \"\"\"\n"," Print and plot the class distribution of a dataset.\n","\n"," Args:\n"," dataset (torch.utils.data.Dataset): The dataset to analyze.\n"," dataset_name (str): The name of the dataset.\n","\n"," Returns:\n"," None\n"," \"\"\"\n"," # Extract labels from the dataset\n"," labels = [y for _, y in dataset]\n","\n"," # Count the number of images per category\n"," counter = collections.Counter(labels)\n","\n"," # Print class image counter\n"," print(f\"Class Image Counter for {dataset_name} Data\")\n"," print(counter, \"\\n\")\n","\n"," # Optionally, plot the class distribution\n"," plt.bar(counter.keys(), counter.values())\n"," plt.xlabel(\"Class\")\n"," plt.ylabel(\"Number of Images\")\n"," plt.title(f\"Class Distribution for {dataset_name} Data\")\n"," plt.show()"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"execution":{"iopub.execute_input":"2024-01-01T22:27:12.169217Z","iopub.status.busy":"2024-01-01T22:27:12.168888Z","iopub.status.idle":"2024-01-01T22:29:01.308185Z","shell.execute_reply":"2024-01-01T22:29:01.307152Z","shell.execute_reply.started":"2024-01-01T22:27:12.169181Z"},"id":"08oTUFv4wUMz","outputId":"6dca79f2-f07c-43d9-c797-b49dc0b446ac","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Class Image Counter for Training Data\n","Counter({6: 5000, 9: 5000, 4: 5000, 1: 5000, 2: 5000, 7: 5000, 8: 5000, 3: 5000, 5: 5000, 0: 5000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Class Image Counter for Validation Data\n","Counter({3: 1000, 8: 1000, 0: 1000, 6: 1000, 1: 1000, 9: 1000, 5: 1000, 7: 1000, 4: 1000, 2: 1000}) \n","\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Train dataset and test dataset (all classes) class distribution\n","plot_class_distribution(train_set, \"Training\")\n","plot_class_distribution(validation_set, \"Validation\")"]},{"cell_type":"markdown","metadata":{"id":"vvKljJOOOlov"},"source":["So, there are 10,000 test samples and 50,000 training samples in the dataset. Additionally, each class in the training dataset has 5,000 images, while each class in the validation dataset has 1,000 images."]},{"cell_type":"markdown","metadata":{},"source":["Finally, it's time to prepare a train and validate data loader for our model training. We need to introduce two terms: `batch_size` and `num_gpus` in this context.\n","\n","- **Batch Size**: Refers to the number of samples processed per forward/backward pass; larger sizes can speed up convergence but require more memory and may lead to slower convergence or memory issues.\n","\n","- **Number of GPUs**: Refers to available graphics processing units; using multiple GPUs can accelerate training, but effectiveness depends on factors like model architecture, batch size, and data distribution."]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":["# Define the batch size for processing samples per forward/backward pass\n","batch_size = 128"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.310181Z","iopub.status.busy":"2024-01-01T22:29:01.309825Z","iopub.status.idle":"2024-01-01T22:29:01.316032Z","shell.execute_reply":"2024-01-01T22:29:01.315054Z","shell.execute_reply.started":"2024-01-01T22:29:01.310147Z"},"id":"89LWo8-V85OO","outputId":"ba27368e-682e-4b50-91be-8601dc335a91","trusted":true},"outputs":[],"source":["num_gpus = torch.cuda.device_count()\n","\n","# DataLoader for training set\n","train_loader = torch.utils.data.DataLoader(\n"," train_set,\n"," batch_size=batch_size,\n"," shuffle=True,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")\n","\n","# DataLoader for validation set\n","validation_loader = torch.utils.data.DataLoader(\n"," validation_set,\n"," batch_size=batch_size,\n"," shuffle=False,\n"," num_workers=2*num_gpus,\n"," pin_memory=True\n",")"]},{"cell_type":"code","execution_count":29,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"execution":{"iopub.execute_input":"2024-01-01T22:29:01.317713Z","iopub.status.busy":"2024-01-01T22:29:01.317262Z","iopub.status.idle":"2024-01-01T22:29:02.219656Z","shell.execute_reply":"2024-01-01T22:29:02.218671Z","shell.execute_reply.started":"2024-01-01T22:29:01.317681Z"},"id":"Cqz05rM2G2zd","outputId":"3716ce30-ff4e-4252-dd7a-73ab2f1eaf3d","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Image batch dimensions: torch.Size([128, 3, 224, 224])\n","Image label dimensions: torch.Size([128])\n"]}],"source":["# Checking the dataset\n","for images, labels in train_loader:\n"," print('Image batch dimensions:', images.shape)\n"," print('Image label dimensions:', labels.shape)\n"," break"]},{"cell_type":"markdown","metadata":{"id":"2LrtfUfqOp16"},"source":["The image batch dimensions are given as torch.Size([128, 3, 224, 224]), indicating a batch size of 128 images, each with 3 color channels (RGB), and each image having dimensions of 224x224 pixels.\n","\n","The image label dimensions are specified as torch.Size([128]), denoting the corresponding labels for the batch of 128 images. Each label is a single-dimensional tensor.\n","\n","**Note:** The initial images in the dataset were of size 32x32. However, to train the VGG19 model effectively, we need to resize the images to the size it was originally trained on, which is 224x224. Hence, we have applied the resize transformation."]},{"cell_type":"markdown","metadata":{"id":"F6D2ye4jqWAE"},"source":["### Visualize a few images\n","To better understand the data augmentations, let us visualize a few training images."]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2024-01-01T22:29:02.224291Z","iopub.status.busy":"2024-01-01T22:29:02.223971Z","iopub.status.idle":"2024-01-01T22:29:02.231667Z","shell.execute_reply":"2024-01-01T22:29:02.230751Z","shell.execute_reply.started":"2024-01-01T22:29:02.224262Z"},"id":"UVKyk5mvTyrJ","trusted":true},"outputs":[],"source":["def imshow(tensor, title=None):\n"," \"\"\"\n"," Display a batch of images in a grid.\n","\n"," Args:\n"," tensor (torch.Tensor): The input tensor containing the images.\n"," title (str, optional): The title of the plot. Defaults to None.\n"," \"\"\"\n"," image = torchvision.utils.make_grid(tensor).numpy().transpose((1, 2, 0))\n","\n"," # Denormalize the image\n"," mean = np.array([0.4914, 0.4822, 0.4465])\n"," std = np.array([0.247, 0.243, 0.261])\n"," image = std * image + mean\n"," image = np.clip(image, 0, 1)\n","\n"," # Increase the plot size\n"," plt.figure(figsize=(10, 10))\n","\n"," # Plot the image\n"," plt.imshow(image)\n"," if title:\n"," plt.title(title)\n"," plt.pause(0.001) # pause a bit so that plots are updated"]},{"cell_type":"code","execution_count":31,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":239},"execution":{"iopub.execute_input":"2024-01-01T22:29:02.246913Z","iopub.status.busy":"2024-01-01T22:29:02.246684Z","iopub.status.idle":"2024-01-01T22:29:03.617319Z","shell.execute_reply":"2024-01-01T22:29:03.616366Z","shell.execute_reply.started":"2024-01-01T22:29:02.246892Z"},"id":"Rc15DMnPC9Xr","outputId":"fbb17653-ae4f-49b7-ecef-b477716cb4df","trusted":true},"outputs":[{"data":{"image/png":"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@MKhalusova MKhalusova Feb 6, 2024

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Great that you tell the learner about the hardware requirements!


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LGTM :)

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@merveenoyan It is ready to be merged!

Updated notebook
@johko
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johko commented Feb 25, 2024

Merging 🚀

@johko johko merged commit c2b0ae5 into johko:main Feb 25, 2024
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6 participants