diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 787be350dd0..1151a83d2fc 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -285,7 +285,7 @@ use either this extension or a different way to automatically format your notebo - Go to the GitHub page of your fork, click on _Actions_, select _treon_ on the left. There will be a message _This workflow has a workflow_dispatch event trigger._ and a _Run workflow_ button. Click on the button and select the branch that you want to test. -6. Test if the notebook works in [Binder](https://mybinder.org/) and [Google Colab](https://colab.research.google.com/) and if so, add _Launch Binder_ and _Launch Binder_ badges +6. Test if the notebook works in [Binder](https://mybinder.org/) and [Google Colab](https://colab.research.google.com/) and if so, add _Launch Binder_ and _Launch Colab_ badges to the README files. Once your notebook passes in the CI and you have verified that everything looks good, make a Pull Request! diff --git a/README.md b/README.md index 8f3e0868eb0..b971dfe1840 100644 --- a/README.md +++ b/README.md @@ -75,7 +75,7 @@ If you need help, please start a GitHub [Discussion](https://github.com/openvino Brief tutorials that demonstrate how to use OpenVINO's Python API for inference. -| [001-hello-world](notebooks/001-hello-world/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F001-hello-world%2F001-hello-world.ipynb) | [002-openvino-api](notebooks/002-openvino-api/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F002-openvino-api%2F002-openvino-api.ipynb) | [003-hello-segmentation](notebooks/003-hello-segmentation/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F003-hello-segmentation%2F003-hello-segmentation.ipynb) | [004-hello-detection](notebooks/004-hello-detection/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F004-hello-detection%2F004-hello-detection.ipynb) | +| [001-hello-world](notebooks/001-hello-world/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F001-hello-world%2F001-hello-world.ipynb) | [002-openvino-api](notebooks/002-openvino-api/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F002-openvino-api%2F002-openvino-api.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/002-openvino-api/002-openvino-api.ipynb) | [003-hello-segmentation](notebooks/003-hello-segmentation/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F003-hello-segmentation%2F003-hello-segmentation.ipynb) | [004-hello-detection](notebooks/004-hello-detection/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F004-hello-detection%2F004-hello-detection.ipynb) | | -------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- | | Classify an image with OpenVINO | Learn the OpenVINO Python API | Semantic segmentation with OpenVINO | Text detection with OpenVINO | | | | | | @@ -102,13 +102,12 @@ Tutorials that explain how to optimize and quantize models with OpenVINO tools. | [111-yolov5-quantization-migration](notebooks/111-yolov5-quantization-migration)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/111-yolov5-quantization-migration/111-yolov5-quantization-migration.ipynb) | Migrate YOLOv5 POT API based quantization pipeline on Neural Network Compression Framework (NNCF) | | | [112-pytorch-post-training-quantization-nncf](notebooks/112-pytorch-post-training-quantization-nncf/) | Use Neural Network Compression Framework (NNCF) to quantize PyTorch model in post-training mode (without model fine-tuning) | | [113-image-classification-quantization](notebooks/113-image-classification-quantization/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F113-image-classification-quantization%2F113-image-classification-quantization.ipynb) | Quantize Image Classification model | -| [115-async-api](notebooks/115-async-api/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F115-async-api%2F115-async-api.ipynb) | Use Asynchronous Execution to Improve Data Pipelining | | +| [115-async-api](notebooks/115-async-api/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F115-async-api%2F115-async-api.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/115-async-api/115-async-api.ipynb) | Use Asynchronous Execution to Improve Data Pipelining | | | [116-sparsity-optimization](notebooks/116-sparsity-optimization/)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/116-sparsity-optimization/116-sparsity-optimization.ipynb) | Improve performance of sparse Transformer models | | [117-model-server](notebooks/117-model-server/)| Introduction to model serving with OpenVINO™ Model Server (OVMS) | | [118-optimize-preprocessing](notebooks/118-optimize-preprocessing/)| Improve performance of image preprocessing step | -| [119-tflite-to-openvino](notebooks/119-tflite-to-openvino/) | Convert TensorFlow Lite models to OpenVINO IR | +| [119-tflite-to-openvino](notebooks/119-tflite-to-openvino/)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/119-tflite-to-openvino/119-tflite-to-openvino.ipynb) | Convert TensorFlow Lite models to OpenVINO IR | | | [120-tensorflow-object-detection-to-openvino](notebooks/120-tensorflow-object-detection-to-openvino/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F120-tensorflow-object-detection-to-openvino%2F120-tensorflow-object-detection-to-openvino.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/120-tensorflow-object-detection-to-openvino/120-tensorflow-object-detection-to-openvino.ipynb) | Convert TensorFlow Object Detection models to OpenVINO IR | -
### 🎯 Model Demos @@ -118,13 +117,13 @@ Demos that demonstrate inference on a particular model. | Notebook | Description | Preview | | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| [201-vision-monodepth](notebooks/201-vision-monodepth/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F201-vision-monodepth%2F201-vision-monodepth.ipynb) | Monocular depth estimation with images and video | | -| [202-vision-superresolution-image](notebooks/202-vision-superresolution/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-image.ipynb) | Upscale raw images with a super resolution model | → | -| [202-vision-superresolution-video](notebooks/202-vision-superresolution/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-video.ipynb) | Turn 360p into 1080p video using a super resolution model | → | +| [201-vision-monodepth](notebooks/201-vision-monodepth/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F201-vision-monodepth%2F201-vision-monodepth.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/201-vision-monodepth/201-vision-monodepth.ipynb) | Monocular depth estimation with images and video | | +| [202-vision-superresolution-image](notebooks/202-vision-superresolution/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-image.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/202-vision-superresolution/202-vision-superresolution-image.ipynb) | Upscale raw images with a super resolution model | → | +| [202-vision-superresolution-video](notebooks/202-vision-superresolution/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-video.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/202-vision-superresolution/202-vision-superresolution-video.ipynb) | Turn 360p into 1080p video using a super resolution model | → | | [203-meter-reader](notebooks/203-meter-reader/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F203-meter-reader%2F203-meter-reader.ipynb) | PaddlePaddle pre-trained models to read industrial meter's value | | -|[204-segmenter-semantic-segmentation](notebooks/204-segmenter-semantic-segmentation/)
| Semantic Segmentation with OpenVINO™ using Segmenter | | -| [205-vision-background-removal](notebooks/205-vision-background-removal/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F205-vision-background-removal%2F205-vision-background-removal.ipynb) | Remove and replace the background in an image using salient object detection | | -| [206-vision-paddlegan-anime](notebooks/206-vision-paddlegan-anime/)
| Turn an image into anime using a GAN | → | +|[204-segmenter-semantic-segmentation](notebooks/204-segmenter-semantic-segmentation/)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/204-segmenter-semantic-segmentation/204-segmenter-semantic-segmentation.ipynb) | Semantic Segmentation with OpenVINO™ using Segmenter | | +| [205-vision-background-removal](notebooks/205-vision-background-removal/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F205-vision-background-removal%2F205-vision-background-removal.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/205-vision-background-removal/205-vision-background-removal.ipynb) | Remove and replace the background in an image using salient object detection | | +| [206-vision-paddlegan-anime](notebooks/206-vision-paddlegan-anime/)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/206-vision-paddlegan-anime/206-vision-paddlegan-anime.ipynb) | Turn an image into anime using a GAN | → | | [207-vision-paddlegan-superresolution](notebooks/207-vision-paddlegan-superresolution/)
| Upscale small images with superresolution using a PaddleGAN model| | | [208-optical-character-recognition](notebooks/208-optical-character-recognition/)
| Annotate text on images using text recognition resnet | | | [209-handwritten-ocr](notebooks/209-handwritten-ocr/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F209-handwritten-ocr%2F209-handwritten-ocr.ipynb) | OCR for handwritten simplified Chinese and Japanese | handwritten_simplified_chinese_test
的人不一了是他有为在责新中任自之我们 | @@ -182,13 +181,13 @@ Live inference demos that run on a webcam or video files. | Notebook | Description | Preview | | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| [401-object-detection-webcam](notebooks/401-object-detection-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F401-object-detection-webcam%2F401-object-detection.ipynb) | Object detection with a webcam or video file | | +| [401-object-detection-webcam](notebooks/401-object-detection-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F401-object-detection-webcam%2F401-object-detection.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/401-object-detection-webcam/401-object-detection.ipynb) | Object detection with a webcam or video file | | | [402-pose-estimation-webcam](notebooks/402-pose-estimation-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F402-pose-estimation-webcam%2F402-pose-estimation.ipynb) | Human pose estimation with a webcam or video file | | | [403-action-recognition-webcam](notebooks/403-action-recognition-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F403-action-recognition-webcam%2F403-action-recognition-webcam.ipynb) | Human action recognition with a webcam or video file | | -| [404-style-transfer-webcam](notebooks/404-style-transfer-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F404-style-transfer-webcam%2F404-style-transfer.ipynb) | Style Transfer with a webcam or video file | | -| [405-paddle-ocr-webcam](notebooks/405-paddle-ocr-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F405-paddle-ocr-webcam%2F405-paddle-ocr-webcam.ipynb) | OCR with a webcam or video file | | +| [404-style-transfer-webcam](notebooks/404-style-transfer-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F404-style-transfer-webcam%2F404-style-transfer.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/404-style-transfer-webcam/404-style-transfer.ipynb) | Style Transfer with a webcam or video file | | +| [405-paddle-ocr-webcam](notebooks/405-paddle-ocr-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F405-paddle-ocr-webcam%2F405-paddle-ocr-webcam.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/405-paddle-ocr-webcam/405-paddle-ocr-webcam.ipynb) | OCR with a webcam or video file | | | [406-3D-pose-estimation-webcam](notebooks/406-3D-pose-estimation-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks.git/main?labpath=notebooks%2F406-3D-pose-estimation-webcam%2F406-3D-pose-estimation.ipynb) | 3D display of human pose estimation with a webcam or video file | | -| [407-person-tracking-webcam](notebooks/407-person-tracking-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F407-person-tracking-webcam%2F407-person-tracking.ipynb) | Person tracking with a webcam or video file | | +| [407-person-tracking-webcam](notebooks/407-person-tracking-webcam/)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F407-person-tracking-webcam%2F407-person-tracking.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/407-person-tracking-webcam/407-person-tracking.ipynb) | Person tracking with a webcam or video file | | If you run into issues, please check the [troubleshooting section](#-troubleshooting), [FAQs](#-faq) or start a GitHub [discussion](https://github.com/openvinotoolkit/openvino_notebooks/discussions). diff --git a/notebooks/002-openvino-api/002-openvino-api.ipynb b/notebooks/002-openvino-api/002-openvino-api.ipynb index 1d78e52dc01..532bada9547 100644 --- a/notebooks/002-openvino-api/002-openvino-api.ipynb +++ b/notebooks/002-openvino-api/002-openvino-api.ipynb @@ -33,7 +33,7 @@ " - [Change Batch Size](#Change-Batch-Size)\n", " - [Caching a Model](#Caching-a-Model)\n", " \n", - "The notebook is divided into sections with headers. Each section is standalone and does not depend on any previous sections except for the next cell with imports. A segmentation and classification OpenVINO IR model and a segmentation ONNX model are provided as examples. These model files can be replaced with your own models. The exact outputs will be different, but the process is the same. " + "The notebook is divided into sections with headers. The next cell contains global requirements installation and imports. Each section is standalone and does not depend on any previous sections. A segmentation and classification OpenVINO IR model and a segmentation ONNX model are provided as examples. These model files can be replaced with your own models. The exact outputs will be different, but the process is the same. " ] }, { @@ -44,9 +44,16 @@ "outputs": [], "source": [ "# Required imports. Please execute this cell first.\n", - "import sys\n", + "!pip install -q \"openvino>=2023.0.0\"\n", + "!pip install requests tqdm\n", + "\n", + "# Fetch `notebook_utils` module\n", + "import urllib.request\n", + "urllib.request.urlretrieve(\n", + " url='https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/utils/notebook_utils.py',\n", + " filename='notebook_utils.py'\n", + ")\n", "\n", - "sys.path.append('../utils')\n", "from notebook_utils import download_file" ] }, @@ -588,6 +595,17 @@ "Creating OpenVINO Core and model compilation is covered in the previous steps. The next step is preparing an inference request. To do inference on a model, first create an inference request by calling the `create_infer_request()` method of `CompiledModel`, `compiled_model` that was loaded with `compile_model()`. Then, call the `infer()` method of `InferRequest`. It expects one argument: `inputs`. This is a dictionary that maps input layer names to input data or list of input data in np.ndarray format, where the position of the input tensor corresponds to input index. If a model has a single input, wrapping to a dictionary or list can be omitted. " ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "d64830f0", + "metadata": {}, + "outputs": [], + "source": [ + "# Install opencv package for image handling\n", + "!pip install -q opencv-python" + ] + }, { "attachments": {}, "cell_type": "markdown", @@ -649,8 +667,11 @@ "source": [ "import cv2\n", "\n", - "image_filename = \"../data/image/coco_hollywood.jpg\"\n", - "image = cv2.imread(image_filename)\n", + "image_filename = download_file(\n", + " \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco_hollywood.jpg\",\n", + " directory=\"data\"\n", + ")\n", + "image = cv2.imread(str(image_filename))\n", "image.shape" ] }, diff --git a/notebooks/002-openvino-api/README.md b/notebooks/002-openvino-api/README.md index a9a23b57177..4dd9cd5fb87 100644 --- a/notebooks/002-openvino-api/README.md +++ b/notebooks/002-openvino-api/README.md @@ -1,6 +1,7 @@ # OpenVINO™ API tutorial [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F002-openvino-api%2F002-openvino-api.ipynb) +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/002-openvino-api/002-openvino-api.ipynb) This notebook explains the basics of the OpenVINO Runtime API. @@ -29,4 +30,6 @@ The OpenVINO API tutorial consists of the following steps: ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). diff --git a/notebooks/108-gpu-device/108-gpu-device.ipynb b/notebooks/108-gpu-device/108-gpu-device.ipynb index 4b60ef36929..dcbce4d1f8e 100644 --- a/notebooks/108-gpu-device/108-gpu-device.ipynb +++ b/notebooks/108-gpu-device/108-gpu-device.ipynb @@ -11,7 +11,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "d6c8277d-29b3-4172-8600-fcbbbbdbafd2", "metadata": {}, @@ -32,7 +31,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "ab1f9f13-63a4-4b2d-95e3-9a82c1e9cebd", "metadata": {}, @@ -42,6 +40,43 @@ "OpenVINO supports inference on Intel integrated GPUs (which are included with most [Intel® Core™ desktop and mobile processors](https://www.intel.com/content/www/us/en/products/details/processors/core.html)) or on Intel discrete GPU products like the [Intel® Arc™ A-Series Graphics cards](https://www.intel.com/content/www/us/en/products/details/discrete-gpus/arc.html) and [Intel® Data Center GPU Flex Series](https://www.intel.com/content/www/us/en/products/details/discrete-gpus/data-center-gpu/flex-series.html). To get started, first [install OpenVINO](https://docs.openvino.ai/2023.0/openvino_docs_install_guides_overview.html) on a system equipped with one or more Intel GPUs. Follow the [GPU configuration instructions](https://docs.openvino.ai/2023.0/openvino_docs_install_guides_configurations_for_intel_gpu.html) to configure OpenVINO to work with your GPU. Then, read on to learn how to accelerate inference with GPUs in OpenVINO!" ] }, + { + "cell_type": "markdown", + "id": "7a419978", + "metadata": {}, + "source": [ + "### Install required packages" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "d540e8ae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "('notebook_utils.py', )" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "!pip install -q \"openvino-dev>=2023.0.0\"\n", + "!pip install -q tensorflow\n", + "\n", + "# Fetch `notebook_utils` module\n", + "import urllib.request\n", + "urllib.request.urlretrieve(\n", + " url='https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/utils/notebook_utils.py',\n", + " filename='notebook_utils.py'\n", + ")" + ] + }, { "cell_type": "markdown", "id": "d2f35f17-5209-43d6-b3b5-db35efb1f42e", @@ -53,7 +88,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "c84c37c2-b24b-4c9f-9ab8-d3a60b8393ec", "metadata": {}, @@ -72,7 +106,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "e76b6152-3915-415a-987b-c30935462007", "metadata": {}, @@ -86,14 +119,16 @@ "id": "c8260bef-63c4-45f3-9ffd-4cc3ac892680", "metadata": { "ExecuteTime": { - "start_time": "2023-05-29T16:29:37.043277Z", - "end_time": "2023-05-29T16:29:38.460335Z" + "end_time": "2023-05-29T16:29:38.460335Z", + "start_time": "2023-05-29T16:29:37.043277Z" } }, "outputs": [ { "data": { - "text/plain": "['CPU', 'GPU']" + "text/plain": [ + "['CPU', 'GPU']" + ] }, "execution_count": 1, "metadata": {}, @@ -108,7 +143,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "a95aef31-bf6f-4d7e-85a5-97dc6bead645", "metadata": {}, @@ -117,7 +151,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "4e266c79-7bb9-4907-9204-87b688087cbf", "metadata": {}, @@ -136,7 +169,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "54399a50-31cf-48bd-bf98-6dea0c0b1b20", "metadata": {}, @@ -145,7 +177,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "bf7509b6-67e3-46fb-bb23-5f46c58b0fc1", "metadata": {}, @@ -159,14 +190,16 @@ "id": "eacdd5be-5d75-41d5-a51b-a376cb063b64", "metadata": { "ExecuteTime": { - "start_time": "2023-05-29T16:29:38.455963Z", - "end_time": "2023-05-29T16:29:38.460645Z" + "end_time": "2023-05-29T16:29:38.460645Z", + "start_time": "2023-05-29T16:29:38.455963Z" } }, "outputs": [ { "data": { - "text/plain": "'Intel(R) Graphics [0x46a6] (iGPU)'" + "text/plain": [ + "'Intel(R) Graphics [0x46a6] (iGPU)'" + ] }, "execution_count": 2, "metadata": {}, @@ -180,7 +213,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "aac3129a-129f-49aa-aba0-71ae1e892ada", "metadata": {}, @@ -194,8 +226,8 @@ "id": "cfb073e8-c997-40db-92fa-93334731285c", "metadata": { "ExecuteTime": { - "start_time": "2023-05-29T16:29:38.459390Z", - "end_time": "2023-05-29T16:29:38.466335Z" + "end_time": "2023-05-29T16:29:38.466335Z", + "start_time": "2023-05-29T16:29:38.459390Z" } }, "outputs": [ @@ -290,7 +322,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "cea15935-2373-4029-8bc0-998558a6defe", "metadata": {}, @@ -307,7 +338,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "821e29d1-6021-4552-a926-cb35bd6af776", "metadata": {}, @@ -316,7 +346,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "ad24a39d-8819-47a3-9c91-0f80e92649b6", "metadata": { @@ -334,36 +363,38 @@ "id": "061a741f-2fc7-430e-b2f7-21d229533447", "metadata": { "ExecuteTime": { - "start_time": "2023-05-29T16:29:38.466624Z", - "end_time": "2023-05-29T16:29:43.220943Z" + "end_time": "2023-05-29T16:29:43.220943Z", + "start_time": "2023-05-29T16:29:38.466624Z" } }, "outputs": [ { "data": { - "text/plain": "model/ssdlite_mobilenet_v2_coco_2018_05_09.tar.gz: 0%| | 0.00/48.7M [00:00", - "text/html": "" + "text/html": [ + "" + ], + "text/plain": [ + "" + ] }, "execution_count": 21, "metadata": {}, @@ -1508,7 +1536,7 @@ ], "source": [ "# Load video\n", - "video_file = \"../data/video/Coco Walking in Berkeley.mp4\"\n", + "video_file = \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/video/Coco%20Walking%20in%20Berkeley.mp4\"\n", "video = cv2.VideoCapture(video_file)\n", "framebuf = []\n", "\n", @@ -1551,8 +1579,8 @@ "id": "621b919e-c120-42f9-89eb-ffd7b810c91f", "metadata": { "ExecuteTime": { - "start_time": "2023-05-29T16:35:33.506106Z", - "end_time": "2023-05-29T16:35:33.509992Z" + "end_time": "2023-05-29T16:35:33.509992Z", + "start_time": "2023-05-29T16:35:33.506106Z" } }, "outputs": [], @@ -1598,8 +1626,8 @@ "id": "1268e1a4-b530-4b39-b79d-d6d5f988a077", "metadata": { "ExecuteTime": { - "start_time": "2023-05-29T16:35:33.510248Z", - "end_time": "2023-05-29T16:35:33.513820Z" + "end_time": "2023-05-29T16:35:33.513820Z", + "start_time": "2023-05-29T16:35:33.510248Z" } }, "outputs": [], @@ -1631,8 +1659,8 @@ "id": "56e8eae2-20a9-43dc-8774-444ad0179136", "metadata": { "ExecuteTime": { - "start_time": "2023-05-29T16:35:33.511945Z", - "end_time": "2023-05-29T16:35:33.521320Z" + "end_time": "2023-05-29T16:35:33.521320Z", + "start_time": "2023-05-29T16:35:33.511945Z" } }, "outputs": [], @@ -1656,8 +1684,8 @@ "id": "59f493dd-4cb7-4ae2-b117-7ba41a950d86", "metadata": { "ExecuteTime": { - "start_time": "2023-05-29T16:35:33.519906Z", - "end_time": "2023-05-29T16:35:34.893571Z" + "end_time": "2023-05-29T16:35:34.893571Z", + "start_time": "2023-05-29T16:35:33.519906Z" } }, "outputs": [ @@ -1704,8 +1732,8 @@ "id": "1ccba843-e40b-43a8-b2b4-8ebd67bc1424", "metadata": { "ExecuteTime": { - "start_time": "2023-05-29T16:40:11.204923Z", - "end_time": "2023-05-29T16:40:11.393739Z" + "end_time": "2023-05-29T16:40:11.393739Z", + "start_time": "2023-05-29T16:40:11.204923Z" } }, "outputs": [ @@ -1718,8 +1746,15 @@ }, { "data": { - "text/plain": "", - "text/html": "" + "text/html": [ + "" + ], + "text/plain": [ + "" + ] }, "execution_count": 29, "metadata": {}, @@ -1789,7 +1824,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "dbbb4f28-2917-45ca-8fa0-8c670c0348bc", "metadata": {}, @@ -1810,7 +1844,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.8.10 ('notebooks_env')", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1824,7 +1858,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" }, "vscode": { "interpreter": { diff --git a/notebooks/115-async-api/115-async-api.ipynb b/notebooks/115-async-api/115-async-api.ipynb index 14e3125aeaa..436e40cc162 100644 --- a/notebooks/115-async-api/115-async-api.ipynb +++ b/notebooks/115-async-api/115-async-api.ipynb @@ -12,6 +12,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -24,7 +25,16 @@ "metadata": {}, "outputs": [], "source": [ - "import sys\n", + "!pip install -q 'openvino-dev>=2023.0.0'\n", + "!pip install -q opencv-python matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ "import cv2\n", "import time\n", "import numpy as np\n", @@ -32,7 +42,14 @@ "import openvino.runtime as ov\n", "from IPython import display\n", "import matplotlib.pyplot as plt\n", - "sys.path.append(\"../utils\")\n", + "\n", + "# Fetch the notebook utils script from the openvino_notebooks repo\n", + "import urllib.request\n", + "urllib.request.urlretrieve(\n", + " url='https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/utils/notebook_utils.py',\n", + " filename='notebook_utils.py'\n", + ")\n", + "\n", "import notebook_utils as utils" ] }, @@ -71,6 +88,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -100,6 +118,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -151,6 +170,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -163,7 +183,7 @@ "metadata": {}, "outputs": [], "source": [ - "video_path = \"../data/video/CEO Pat Gelsinger on Leading Intel.mp4\"" + "video_path = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/video/CEO%20Pat%20Gelsinger%20on%20Leading%20Intel.mp4'" ] }, { @@ -263,6 +283,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -410,6 +431,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -562,7 +584,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.7.9 64-bit", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -576,7 +598,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.10.6" }, "vscode": { "interpreter": { diff --git a/notebooks/115-async-api/README.md b/notebooks/115-async-api/README.md index 146d270ce14..0712fc40429 100644 --- a/notebooks/115-async-api/README.md +++ b/notebooks/115-async-api/README.md @@ -1,6 +1,7 @@ # Asynchronous Inference with OpenVINO™ [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F115-async-api%2F115-async-api.ipynb) +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/115-async-api/115-async-api.ipynb) This notebook demonstrates how to use the [Async API](https://docs.openvino.ai/nightly/openvino_docs_deployment_optimization_guide_common.html) and [AsyncInferQueue](https://docs.openvino.ai/2023.0/openvino_docs_OV_UG_Python_API_exclusives.html#asyncinferqueue) for asynchronous execution with OpenVINO. @@ -13,4 +14,6 @@ With synchronous mode, we wait for the result of the first inference before send ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). diff --git a/notebooks/119-tflite-to-openvino/119-tflite-to-openvino.ipynb b/notebooks/119-tflite-to-openvino/119-tflite-to-openvino.ipynb index 3516552f3f1..9ac24379341 100644 --- a/notebooks/119-tflite-to-openvino/119-tflite-to-openvino.ipynb +++ b/notebooks/119-tflite-to-openvino/119-tflite-to-openvino.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "8000a4d7-3981-42c2-a74e-12ac1f9ae4a4", "metadata": {}, @@ -12,26 +13,64 @@ "This short tutorial shows how to convert a TensorFlow Lite [efficientnet-lite-b0](https://tfhub.dev/tensorflow/lite-model/efficientnet/lite0/fp32/2) image classification model to OpenVINO [Intermediate Representation](https://docs.openvino.ai/2023.0/openvino_docs_MO_DG_IR_and_opsets.html) (OpenVINO IR) format, using [Model Optimizer](https://docs.openvino.ai/2023.0/openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html). After creating the OpenVINO IR, load the model in [OpenVINO Runtime](https://docs.openvino.ai/nightly/openvino_docs_OV_UG_OV_Runtime_User_Guide.html) and do inference with a sample image." ] }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "b8ef13a5", + "metadata": {}, + "source": [ + "## Preparation\n", + "\n", + "### Install requirements" + ] + }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, + "id": "98b3a6f2", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install -q \"openvino-dev>=2023.0.0\"\n", + "!pip install -q opencv-python requests tqdm\n", + "\n", + "# Fetch `notebook_utils` module\n", + "import urllib.request\n", + "urllib.request.urlretrieve(\n", + " url='https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/utils/notebook_utils.py',\n", + " filename='notebook_utils.py'\n", + ")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "dc3fb5ed", + "metadata": {}, + "source": [ + "### Imports" + ] + }, + { + "cell_type": "code", + "execution_count": null, "id": "fba93eed-4df9-4552-9443-48391531025e", "metadata": { "tags": [] }, "outputs": [], "source": [ - "import sys\n", "from pathlib import Path\n", "import numpy as np\n", "from PIL import Image\n", "from openvino.runtime import Core, serialize\n", "from openvino.tools import mo\n", - "sys.path.append(\"../utils\")\n", - "from notebook_utils import download_file" + "\n", + "from notebook_utils import download_file, load_image" ] }, { + "attachments": {}, "cell_type": "markdown", "id": "dd8252ed-c29c-47c2-a234-c92f33025a80", "metadata": {}, @@ -41,30 +80,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "651a5876-b15b-4ea1-8770-25a10b42bf0a", "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "'model/efficientnet_lite0_fp32_2.tflite' already exists.\n" - ] - }, - { - "data": { - "text/plain": [ - "PosixPath('/home/ea/work/openvino_notebooks/notebooks/119-tflite-to-openvino/model/efficientnet_lite0_fp32_2.tflite')" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model_dir = Path(\"model\")\n", "tflite_model_path = model_dir / \"efficientnet_lite0_fp32_2.tflite\"\n", @@ -76,6 +97,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "91c65ecc-c4ce-4fd4-891f-7c25be65e428", "metadata": {}, @@ -88,7 +110,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "88a3eb11-80a3-4e14-84be-f55f40eb4f70", "metadata": { "tags": [] @@ -109,6 +131,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "e05295a0-cd6e-459b-be23-fedc6579ea4f", "metadata": {}, @@ -120,7 +143,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "c7db09f3-c478-4d91-8319-ebf0fc382e29", "metadata": {}, "outputs": [], @@ -131,6 +154,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "e3334ae7-0b8f-4e8e-aa6b-d14bfac3e395", "metadata": {}, @@ -142,21 +166,23 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "07790e19-baec-4368-8650-c0381e2352e5", "metadata": { "tags": [] }, "outputs": [], "source": [ - "image = Image.open(\"../data/image/coco_bricks.png\")\n", + "image = load_image(\"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco_bricks.png\")\n", + "# load_image reads the image in BGR format, [:,:,::-1] reshape transfroms it to RGB\n", + "image = Image.fromarray(image[:,:,::-1])\n", "resized_image = image.resize((224, 224))\n", "input_tensor = np.expand_dims((np.array(resized_image).astype(np.float32) - 127) / 128, 0)" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "75801719-2d16-471a-8f50-22857325e3f2", "metadata": { "tags": [] @@ -169,7 +195,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "3ae46f8f-b092-48fa-96de-91d8eda68dd9", "metadata": { "tags": [] @@ -194,7 +220,8 @@ } ], "source": [ - "imagenet_classes = open(\"../data/datasets/imagenet/imagenet_2012.txt\").read().splitlines()\n", + "imagenet_classes_file_path = download_file(\"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/datasets/imagenet/imagenet_2012.txt\")\n", + "imagenet_classes = open(imagenet_classes_file_path).read().splitlines()\n", "\n", "top1_predicted_cls_id = np.argmax(predicted_scores)\n", "top1_predicted_score = predicted_scores[0][top1_predicted_cls_id]\n", @@ -205,6 +232,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "696967d6-1d2b-45a8-9e1e-458dacef381f", "metadata": {}, @@ -248,7 +276,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" } }, "nbformat": 4, diff --git a/notebooks/119-tflite-to-openvino/README.md b/notebooks/119-tflite-to-openvino/README.md index d9d0c335e73..30cdb312097 100644 --- a/notebooks/119-tflite-to-openvino/README.md +++ b/notebooks/119-tflite-to-openvino/README.md @@ -1,4 +1,5 @@ # TensorFlow Lite to OpenVINO™ Model Conversion Tutorial +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/119-tflite-to-openvino/119-tflite-to-openvino.ipynb) @@ -10,4 +11,6 @@ The notebook uses [Model Optimizer](https://docs.openvino.ai/2023.0/openvino_doc ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). \ No newline at end of file +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). diff --git a/notebooks/201-vision-monodepth/201-vision-monodepth.ipynb b/notebooks/201-vision-monodepth/201-vision-monodepth.ipynb index efb37e89d0e..4e22437c673 100644 --- a/notebooks/201-vision-monodepth/201-vision-monodepth.ipynb +++ b/notebooks/201-vision-monodepth/201-vision-monodepth.ipynb @@ -35,19 +35,45 @@ "source": [ "## Preparation\n", "\n", - "### Imports" + "### Install requirements" ] }, { "cell_type": "code", "execution_count": null, + "id": "79589b73", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install -q \"openvino>=2023.0.0\"\n", + "!pip install -q matplotlib opencv-python requests tqdm\n", + "\n", + "# Fetch `notebook_utils` module\n", + "import urllib.request\n", + "urllib.request.urlretrieve(\n", + " url='https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/utils/notebook_utils.py',\n", + " filename='notebook_utils.py'\n", + ")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "6ea428fa", + "metadata": {}, + "source": [ + "### Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 5, "id": "25d08d89", "metadata": { "id": "ahead-spider" }, "outputs": [], "source": [ - "import sys\n", "import time\n", "from pathlib import Path\n", "\n", @@ -66,7 +92,6 @@ ")\n", "from openvino.runtime import Core\n", "\n", - "sys.path.append(\"../utils\")\n", "from notebook_utils import download_file, load_image" ] }, @@ -113,7 +138,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "1c9f693b", "metadata": {}, "outputs": [], @@ -162,7 +187,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "8e9e708e", "metadata": { "id": "complete-brother" @@ -200,7 +225,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "f1c4ec2d", "metadata": { "colab": { @@ -212,7 +237,7 @@ }, "outputs": [], "source": [ - "IMAGE_FILE = \"../data/image/coco_bike.jpg\"\n", + "IMAGE_FILE = \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco_bike.jpg\"\n", "image = load_image(path=IMAGE_FILE)\n", "\n", "# Resize to input shape for network.\n", @@ -266,7 +291,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "f818fe7b", "metadata": { "colab": { @@ -276,7 +301,18 @@ "id": "ranging-executive", "outputId": "30373e8e-34e9-4820-e32d-764aa99d4b25" }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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KY0pMGbwassyG+3QWpEBHAoTDOUOvl7Iv5kgpMFVbxnGEUgrvC4QSeAc6UmRZSVkaBI48z0CAkhIBGFsQ6Ri8ReDw1uLMlDiK2UhjVsYXuHZ1i4PDjN3dI+5t7/Hmm+/C1mUmRcab703Y3nuXN96+y9rKgCsXN9hcG7O+soIwJb4swJfhmkKAkuAdAoXWGiUtczPHi5ylYcLsaI88m5EVDp3ERLFmbgv2d484zFLiOGJpNMQqQSY0H+zlvHf7JZZfSXjixkW+dO0SW+dWWF5eRiUCV0xwfoqTBcYbpIjROrSNFyoQzdMMj2BjbYNLV2+wO51w79Z7fP+P/4iVjXN86UuPc+XxC1y4vMHTv3CD1969xw9feY933t8jERLmR7z2w7ewJufcuTXWz51DJwVCH7K8vkV/GNGPFYeTKYVz5LaPZIjxMSUCLx1IT6L66EJRFoYiLxDSIhOF0hJk1f9Dl16gEgmpBML2eDrVWusT4m/8yXJOEIEnr1N7a308SBwahMABSngiLbCUUE7xxRHDxBJFEicEQimMAYvBuZx+7MhnO+AN3pYcHOUoV7A0cmjlkcAsnzO0Ef1ej0EkWU9LXvnJH+B9nzRJsS4HURBFoJ1EWEmSpBwd7bM67gOWopgTxwopJMYFi3+pLN7B5HCfPHcsj5a4d3ebIiu5cuUqN+/scv36NXrjc0ymhnmec3h4yPt3PqDf7zMcDekPBgz6fZIkDfOqDQJumRdIqTDOURQFSZIQR1Egg5097kV3yh7Hn7FtrUnXmpgO85/A1vxEJWQbYwDQOng2WWePEdrHyzyNOH/gymd8siAioSYrTyv/wd/PIjbbBPypNfk4XfU0kafZ1zuEFJX+EQSR2gun5luUUsRxBMKTZRkHBxOODg7IsxylBIPBgHPn1kmSXnhPBTt48tLgXRCyhAwiSE0PeO9RCKRWeLt4j9bCzOn3fkZbcpLoqPtHu81OPGdRz0oPvu+bck+x8K8/10qgVVg3GFNycHDE3uGE+TxjaTSg309YXhmQxMNwnBNY5ymy4NUkqve5p7XGcA7nLFJA2pMIoTg42OPevbscHBXEccxw2OfixVUGgyWUEoDCe0k2DwsbpSRaL7yzpBQoVXsAtY0wTrbtqU0exuepnjYn/z4u2H0YT/eohp+tHx967mnix8POe1gdzwox+3H4xw9rj5Ntd/L304Shh76zakKxw88NPqk9E3A2cXhWRz57yv7Z4KR62laAjx3QWgQ2xPvHeaF+iNBxyuE/13iYWF6jfhTNs6t+NuKHaD3n1jH1h+3vT/bf07rsWfuQh95HazNxbCyI49f0zacf/uj/PAhaP3M8yrj9ArVr1wc6dOjQ4QuDzyyU1m//9m/zd/7O3+GFF17gG9/4Bv/kn/wTptMpf/fv/t1HLsM7g62INKUUzhWEOB6yZYDiw2dCsNBEXMWjiMoisl7peKhCieBByUA2OO+QqIWnByfW6gDO44WtxBWab7wQlVjzICGzWN9XtsmBUcKJYJnuvEMIH4QfbCChgJWVJX754uMMVt7EOsf0YJdXXn2V/f09tu/eY3V5le999zsMRivkFgbDJZZGY5SUKASDtI+WGi0j8rxACIExhqIs0VpTlrX3SmgrpUJIMGMK0jTGWovWEZOjCdY6kigNQpIxQBBvlJJYF0KraOkoijKUWYUkUwKM8EhZ3aMCYQ0KB75AWegrSTxWbK1u8vjjF3n28YvsHEz54Stvs3swIRaa2+/t8uPvvcbSqM/jj13lwtY6l85vcPH8OvFY4vIJeTbDm5I0ThBKgnU4YfGixGvL0mqPKJEcHu1zMC9Jhz2000RpRH+5R1FYDg4mTPM5K8vLiDgiUT18BBMDL715j7ffvcfm+jI3rl7i2tVLnDu3QZlbZOSxLizstdZIFyzvMUGkEXFCBChr2Rwvce65rzC5fsC7b7zBf/5P/5aN8+f58vNf5sK1c6xvrvH041d4/fVbvPiDV7h975BLN64wzUru7exxsJuxvrlCLFLeeOkV+uMBSyvLrI1XyAtLVgoymzAzMaUFrwQy1lih8EKj0wgtHM6WlDanyEuklsRRFPq1kDhkEJnq/tu2ZmssWj98M+p+ioXtaUTmJ2U5e5w4FSgxoCwzIuWQNkMrw/m1lMjAfPcWxdE+M1tSGENRWPLSYKzB5lMkBlvMUcIjvAOrUFKy+fR5bJ7hvebg8JBRP8Z5z9bmBlsrPW66I+JIIZwB6dCRxbuS0nhMYcmmnq21ZUw5YXv7LtZ5nIhApRxO56xvnMeR4omYzguiqMf2vmXvMGfjwuPMraBkThKPkarHYAjr/XPkZc7+4T7GGvJszr27d4iiEC6rLC1ry6usr63T7w9RWjPPc+bZHGNKnHA47ytRxC9IicoCT5xQSE5aonsWwrBv9SdBTeg7lAQda8qypDAlKHnMAy8giCkLgeV0keLBZ+2Pf37GZvtR+k399wNltn6eVidfXbbN2T483Fd13olP2x5bQcjwIWYeHiWD940QApXGIARlUbK7t8Ph4QFlaYjjmPF4zGBrQJoGi2NjTEPGe8B6X71PRfUfSCVb70WP9Q5vbLgnKZAN2XAaEf/wuWMhcH2I8OUrIaLxKDkxN7TEECFE8DpyDiEEURRVbQNaO/b2puzt7ZLlBVEcs7a6wtJYIWWCc4oQ3k5SFCF2mFQKpTWeas53vglthfckqUZKKHLD9vYu+/sHOAdpOuDJJ8+TJAlRlGCMx9q6nSTWerTWVNoKzi3Ej2AsQePlCotwWs6dLcI1H50qoDzYb4+d0/q9WWPVn7Wex4OXbTFKp8il7XMW/f6Bqp+KB6514j4eqIl/tPfUGWe3yl6MQiEWIt2D88Epvz/yK7C9RuUU64AOPw/4JPZMH4ozxZFHUEN/Vnikcdt6z3TD5VPGQ1T35te2uLF4J/vmuJNiR1ucEK3zT6wfaqHkEddrpxttnRBEHjyruo449tmHDofPyXD5YuLjipqfM3xe5swOHTp06PBI+MyEkb/5N/8m29vb/IN/8A+4c+cOX/nKV/h3/+7fPZBc8GEQSuFdCK/iXA/rDIeHR4yHCd7lSEKYlZD7QVReEK2wP6ItUnikCIStq4gSKepzwFmHJFiON6E3ajKHcKw95n7LMcvNBYFwnDALkV5aFrU1seCpBB5RmTdKPDbcsw8hmvqDPuPxEte++QLPf/XL/PBHP+Hf/9t/Sz+NIM+5v7vHeHmD2XTG3s59xqMR/V5U1UmipMYZS6wT5mTkWQFeUOQF1rqGdNRao5SqBBGFkIJ+v8/27r0Qbksp8B5rS6wtcN4S1R431DHcJagIb0uEqvb2UlA4gxIChUBpAYnGT2coqVBINAZnc2LjubA1ZGtjyI3Hr7Fzd5dbt+7wvRcPUcvniKOU27eO+N6fvcrSuMeVq5s8/fQ1bly/wGhpFeU9+TwjQpGVM5JeDJTgDRubG6ysr5IMRuRizqzIKfMDoiTicBLR6/WJeykqijicTtjZ2yOJNMo7lkYDNpaXQAp++Or7/On3X+XqxQt8/YUv840XniSODbYoMPkMawoiHCqNEDZ4axB5oMSXGVIJvDcsD1KWXniOJ579Eq+//gb/8d//ezY3t/jyV77G1uYa6+tLPP/lZ3jph6/xX7/zA7xWfONrX+WdW3f5g2//IUJonn/+eTaXlrm/fYf8aJe1jUsMhinTPEMXCulSZhBCawFei5ATA4FCAQrhLK4wFMah4xgR1WGjBNZ7hPNNuKFqIMAZpNonBfEplUur3MaqH40zkkT0iEWBEhmv//j7JHKOclPyVDCb7DOZHZHECVJprBcoKelJz/xwn621ZSIFh/uH9HrLHE2PiFhDpop87ihLg44SsqLkzt17WFuwv7OLNTMQmrycIVSJ84Z+f4k8tzzxxDNs39/m7t33OXdundWVdQ7nnpVzl5m+dZPNa89y6eINstyQFY6Doxk7U4/TK+xMIemPGK7GzAsDMkELz9HRDKUFq6vr5PkcxmMef/wxsizn8PCI2Szjg/dv8/prbzIcjFheWWJpZYXx0rgKSaiI4xjnLFmWYa09xZMobGxDN1nMn4FsX2yWrWvPnzXJGMRaVc0/RRHm/bgKq1V7kRzfwH74puTDPDg+rK983DJP3bSfUVbdBsfKbV411furLpfjIpTzDmNKFJ5er0eaphhjODo64mBnl9l8jnOO4XDI5uZWE3pFeI81ljwvjtXBORFSeghQrRBOzp2QOqVACk/IV1ST9y6IIx/SJqd5dVC9s84485S/W2RLu92qsp0L3k9RFJGmmjgWWAsHB3P29/fY2dkmSVJWVla4eOk8SaqxVlGWBc6FsoPmt3hPeu+xzjZrDK0kaaKIorCG2Nk5ZHt7G2cMq6urXLlyhThWaC2ZZQ7nqLw1VeWxSvX+FRhTlanraz0oCoV6hN+tdScEw7qNH2yyR+n6i2OOCwIPEP6nCi2nfe5Pvi5O1KPdm1rt/WGVrdZ0eB4Io3ay/sGD6XjlTtVsat+jet2HP9EeZ4sg7b9Pfu5P/Hb6/bXFJB78vcPPDT6JPVPAGR3oZCijTwWnkOCf2DlnTWp/TkhW+Cmfi/h0muFMsaElNJwqarREj2bfWwkgVU7D5vsHzjt2sTPFkY+GVp1P80qqw1E0x8LDL9qR4h8bLYOLRxNCfwboRI4OHTp0+HOPzzT5+m/91m99dDfwFnRFCFlrgBBrez7PyGYZzsxABItNqTRx0kfrCCHCcQKB8LUXSWuL6gQ18+OFhEqX8M7iKqtbqDffHn/MorJeeJ6wVm4bv+AIBE+bhK3TNlfrQi/BVonDvcJZj5Ia4T3OhrAxIVa5YTI74mjSR0rJ1772NQ4Pdrly8SK7+xN+9PLrvPi977C2us7GxiZFNmX3/l16vR7L4yXefecmvXRIkZdgocwK4iiExRIiEC22tJVAJCnLksFgFesCGWSsxVZW4u1QNkoJTFEghSDPCxKhmM4ybEUqOBtCdFkMVGKU9AKEhMIjdIxwoX2FtwhAaQ/FPsoJhl4zXE24cvEpvvLMDd547T1ufbDDS6+9yerqBsYa/vQHr/Hqe7e4cOkczzz9JNevXWJjaYRINVor9id7CKXpoRktr/P0s8+xN1EQFxxmE2blhP3DA8S8YD7PGPT6FEmPOI7ROmaa5QgHWXHI/Z0j1lbGbKxuoHtL7Mwc//p3/5T/3//xe/zKX/g63/zaVzi/tYkSc8xshzw/IIklmBy8wzFHSJBC4x04USKMRAn4ygsv8PQLv8ybL36f3/93/4knbtzg+lNPMoj7fP2XfoFnv/5l/uvv/zf+6Ls/ZGl8jv/73/ofeeedD/jDP/xjDo+mfPVrX2Fpbcytt95ApXdYOXeNjeXzyP0ZFAojeswRWFVSWo8WmqJwjPpjfGQpy4KizMjmGeQFUdoDHaGFwmER3pKkCR4oigJrLUpGgUQ9Zq0diCjXHisfB6ecdlZZP01i9jBuDYmMsFlBFDuUt5STPfqpxee7SCFZjkoinZNGgYnz3uOFZmVpnT0zZb57j5kzeC/YPZhROIcrLhIlPZSU7O7uYq5dprSe3Apeeusuf/jimzz51AsYIzh/8TJJX7O2uYrSAybTgrvTnPHFi3zlF36FwWCAsZ6xjfDEPDF6nO/96GX282XGS2vkhcGLZaJ+QlGUxNGIaQFWxHipCNKWJ4pSwOBKixKKwpTs7h4QxwmrS6ucW4t54saTgOfwYMKt92/x9ttvYqwhSRJ6vR79fp/V1VWWlpaI47gScE3TL4L4HOYK6xa5Jqw1SKERUmAr8nwhKC/CEUEIYSi8R8tqPrUOLyxaSJx3lQGhq8SDSmhp9ZNHFkI+hIv5abyUTvMCEUJgXCDqpZRYY8AtRPtarG/Eg9b5shLLa3EihMlyGFuilGJ1dYle7NnZmfHSSy9xeHiAjhSraxucP7/JeDwGYD7PKYqidR0PLbIdQk6hqgXwwmNxCCERqjmk+T6Q2eHdHIJKLu71od46J9qqlinbAkT7nxBUHqNBiEf4SqyxaNEO3LYQmKSE4TDBe5hOM959d5u9vT2UUozHY5599ln6fYW1gnlWkmXBuxFCyDClqtxkDVm+CIGZJJp+X2CM5+7dfe588AH7+/usrCxz+fIl1lfHOAdl6TDGV6KHrO7x9D6llGzu4SROE89OQ7tp63Y7rbyziP36vPqz9txe/zhrSIhjBbWf94MHitYTQ1Qeum1x4TSO7AQneopGcyaxIVoE3pkj+pTrnKj2sbVg+/OH4di9nnbRY/fVXmt+SMEd/lzip90zNajn958111fPOSf2XR9+3ikvZH/W92eosZ8WHjYYT51zPo449PFOeaCAY4YjJ79+1As8gsByzOPj5OkL4SE8tmpt1yoeL6tID7TuuyWQ1P2n+b6ukz99rm449jqiw2n1OlnHk1Wu6nTqvZ5eZIfPAp/BvNahQ4cOHf5c4DMVRn5qiBAyw1mHtS4kMTeBBgtEkcFakNbhvSQXBUJ4lFJEURRCG8kFYVOvr+r3qrUW5x3OOlSVGLcdI92fPI+FkUtDUPjjhFz46aqyWJzUXoTh8S6QyAqHFyKEmhLBc0MpzeF8zmg0wgNx2udwMgVjMc6zsbXJ81//Jl//pV/hX/6rf83LL7/Kq6++TBLHLC8tkaY9Lpy/SKQ0RVEgUTgLk8mUOEkpC0uWFVX7KEwZQoRleU6ShvajivefZzlJkpKkPZQKFrWRUoGsA4wNC15rwjMQrdauo5g1i2Onqu8VeFs1pkMIB9im7YRweFcijuYMox7PffUGX/760zz15hVeef1tbt/bYbCcsLSyyvb9bf7Nv/02Wgte+PLTXL60ybXrVxisXWQ2OWAy98TpMqOlDTavXOLezhE7B7vc3b3N6voG9+/exZQ5uzv79NISpGA8WmIwGOCsZZbn9OKEu7uH7M+mLI9GLI2HSBmTREO+/d9+wp+++DLXr27y/C88xpe+dJHRoEeRH2KNoZ8m9PrD0LYyLLojETybIqGZ3d9FR32eff6rXLt8lR9877u8+x//A5evXeXSjceIRyv8tb/xSzz3/JP8/re/y2sv/zdGo3X+l7/9f2Znb8Yff+dFfvCDH7G0vszjTz5OaV9BbL/HcPkaG/1NMqNwRUGOQIiENE4xSAoDtgRQJGmf3iBlOpswnRwSRQlJ0iepxk8+n1NYi1Y6EOKuslhWx5Mb+3rMfmxW56Otdh/lOqcR5W3yuTA5/YGmzOZYU5AXlpkoEYXl9u19loYR1jhm8/1qvrE4r3j33buc2zhPb7jGnTu3kEIzHKzSS2JUnGCMIcssFy9dZDgYBvG2P8YUKb/6G3+b85tfwjgBCsarQ0pveP+D+ywtX+bKtXMIrciLOTvWkec5wgtGg2VW15ZYvV+ih5sc5BalB/R7fYQQbKwN2N7doT8aMZ3MiJM4JC4vDQKJRxMEZkmkVQhZlRuEEzgrmBzNMcbQS3s8+dSTPCmfIM9zZrMZ+/v77O7ucvvOB0gp6ff7pGlKr9djPBozHI6AMKeKSnA21jbHloUNYfeqxO/Oe6TSSCGred5Re9ZJKau5psSUBmctURxz3ENvYdUtkQ9Enzkrv8RxL5ez+8tZ/ewsweRRPouiCOccxhiUlERRSNttTAhvBZVnhvPH6mGrRN+1cOCsRUgYjXqUpePNN9/h5jtvY13IT/XkU08yGo0QUpEXBXt7e3ggiVPiOKY0ZuEReYKEFsK3yOs6oZc77Y144vQqxNkxMosHiJqG02iR9lIAdc6O1ngNAn4IGWWtbT4HKqFZgbPVuzt4zyAgjgRguPX+Hjv3dzCmZHV1lWeeeYbhMHhUzmaW6dRgbThHVsILVTsbE3KJhLKDaJUkEhUZptM5P/jBXba3txkOB1w8f56nn36KXk/hHBSFa/q6VCrMlcgH+sOxVD0PEStOzl0n++DDeDDRssZtC2CPMkUvrnPyoZ5Sz1NEk2Y1dWwOPi0DkXjwx4Jbo93faklEEHxs6/s8KTKcZL3a4ecEJ2/eN7mdzxKTalFk4fX0wCEPxVmeIsefyTHm7qNdoEOHB1BN0A8LL9R43T1acU24pA8jJ9uD+JHxwATC2XPP52R8LBYk1d/NFzy0jT5Nov0Bbwg+4nP4EIHlUcusxYfqHSSqejVnSbko47Q6V1V56KMW7WP8iTn8LNHqDMG9qpOvo060qtAc0fYqaZ798aM6fMromrpDhw4dOnxMfKGFkWZh4kMC2Dr0VJqm5L7AGo/3DlclCXY+eJk4JbFFuRBGqgWMioOle508OPD2okqkulgwiTpuO3VIreNGKm1LeV+f1ELtJSKQSMTC4KS9ePYEDxFhw9+y9l6JQFhuvX+b3CmE1qwsrxClfaSKiJIe+4dTBocThIq5eu0K57a2ODo84tZ77/LWm2/y8ks/4f6VHfq9HvPZHLxEK8V0OmF6dEQvTUmTPkpp5rMZadonilKs8aRpv2ozjY4Uzlkipark674SRlKkDrREaSwQU5QGh0CjAIPwofPV+VeElARBRFUNEAcilJCAHhG8aoRyeGcRyuMTiSNjdrRLr9/nypeWuPb4CxwezHjrnTvcunmPqZCI/jKlcbz95l2+/ft/yvWrl7l85Tw3Hr/K1qVVpBRYp5lnBcPRiN6oh4wcs/mM5IJmcjhh1F/mcP8Qax37Owcc7h8FK/leDyegNIb5JGNWZOwc7pGmCedW1li/uIW3BT9+7W1efeMtLm+u8cwT13jymceJ5AgfJyS9FOw+hfMoIRBe4UuL1hodS8p5hjE79Acp3/prf5WDvV1eeuVlXv79/8z5rU2uPfYYq6vn+L/9X3+dd9+9w4vf+z4/evnb9McX+PW/9ivsHRheef0N9veOiLMJKxtrzPbfYXt6k/HydVaXlskiRVYIiuwIZ/sIFeNVhFCKkhCWbjjqV30mw2UZhVJILUjShAQwxuFKE3I/6Noyq7JkrvbLDXH0Mbw5PJ/8mvdhOQ08HqMMM++IEk3cX2HrxjPcee8N0ihmZeUKvRSy+RG9yGNMxnA4IEr7eDGktAJvCy6uXiGKIjZWNzHFnJm5TywlUgkirfHeopXCIrn02LNceuzr3LubMegPQUuO5vu88/67bG49Rdxf5cAKyszifYyONF5aiskR090Jw1ISj1cphKL0jkRKZkWGErD93h1GS2OsmXP/7k3ObV0A4mouC4SidYKgRQiSRJHnBZPZnDj2pFGCUhpjLfsHBzjh0FqT9FLOD85z/uL5QNJ7j7WGvb197t+/z/b2NqPRiDTtgRdEUcxwOERrDZ4qmbskjjXOQayj6oH7Rpj2gI5k4xkhK+FAYijLMkyRog731A5NGDweGvn7FBL5p+kvjyK+fVQhUMogBuWmRBLCNJparKi8SI4luIcqpFV1L1IwnU64eXOHw8NDRqMRv/Dl51haWmpI/XleUJYGpTRpb9C0Vy2KHBN7movUgmH1wjqZBLVNIrTeZXVWLk/IudUmP4Ss36steqFNjhDep1Sekm1vG9Oqa+MxUuW3AvDOhPxYgPcWY0um04z9/X2yLGM8HnHpymWWlwdICXkOR9OS+u0vgChSYR6wBiEUUaSwXhApgRRBWPA+Z3JYcnAw5f7uDmWZs76+xte//lUGgxScxxiYTBa5u4TUIf/YKRzTh3eX423V/nny90eFeHB4nFGf4wfUAqQ4JcrZadzb6eV/hPqKRRUeWldfW12cVg9/+jnN96ckr4czI7k9LJ/Ih+KEmNuU14ytB5/vR75Ghw4t1OuoR+tCLTXyUd6Vbbb4Ucj9s7wKHhlfkIFw6oB9iDB1Fmf/SS2AfbsHnF1oW6R+UDD+BNAOgdUySDq1Ro3AfVY9PIuQXe1rtH9pi1Fn30/QbE4fJaISbJpXjG8/Qrl495y4bIcOHTp06NDh840vtDBSEwregxKyCdPS6/WQGEwZSDIHOC+xziO9bzxMTGmq/BcV4VKWVbz8SiwRNFahotmgAgi8qBdG1WKsrpP3i4VZVblQz1YYl2P34BfnLQpBCFetmYOnhLcV+yDDwvD+7j6Z01hgNp3TGwyIkz6GGOM1jgiJDiF68pL+sM+XnvwSS8sj7t6+Da6k1+tjncHjkEpy9+5d/uW/+peMRinZfM61azeIdEQa99EqoSgMvX4/WGtbhxDBmrnfC4SprMQbIQTehbjyZRHCCGVZiXUCLSXeSyQO4aq8AwiEC6HDKlYWT/U7QdzyIoT88cLipEdqhS0zAHr9BO8N+e4d4qjHME758jPXefrx69y6fZ/9e7vc297npdffoxeNufn2Njffvc3rr71DMhxy4/Ff4Mb1GxzOHZO8AOtQ0rF1bo1Ix+zuHFLkBTvpfabTKbt7e6xvrBEnMdv37iGUYGl5CYGgtBYvHBjLzTs3ubP9HmnUYzwckcR9bu/kvP/tH/HH33kZb+d89SvP8OXnn2Z9aR3V0/gywxtQqlpcuxIdCbyylGaKmc7pjwa88K1vcnRwyPu33uO1H/2AYa/PufPXOH/xCr/5P/wlvvH1p/nxazd5+fU3MGbIc08/ztxYdg93eO21t7izvc/S8hU2zkl6syPGG+ss9VaZe0uhSiwZeIEj9EXwFKVFoRgNhjjjKcoSYw3TaVmRk1FIPixEZWndGluNx1To9R97i/Uz3mA4JXBakhmLc5LN60+zfv4Ko16E8oZsesDdO7dYPbfCLDtkOOij45Sy1PR0gsdhTc729l38TNKL+pRGMlrqUcwOKfKcXpX3oSgto/4yd/ZmiHhM7iK2797naHbAhStPoFSf3EgcMUIJnDPkxqFUxGAcgSu5e/ceMtIkvQGlO6J0Fpyhn0a89torPPfcc8zzOYN+Si+JcLYEEV4DIdxR8FZDSPAQxylRFFdJqk2VBDrIDEoojHVYV1bhm6q5ygWvsvPnL3Dx4iVMWVKUJWVRMplMOTg4YDKZVGR2EDp6vZR+v08UJ0RKVzkqQGmNEiG3k3MWW4XWqzfJUggipSmLHK2rMIAepJAhSJiUVQi/Rd9bELQ/3Ub/QWv5k999NDjnCDlYWu8a38qBJQVSyfDK8Q4pZJVcPczDeZEzn2eUZYFWgo2NNa5cvVp5NXiyPK88dkIeHKU0CFF5OYX7aBsK1Khfb43xpWhzDS1L9lPI/Ybq8ItQix+1vaSUVdjLIHgFO4FaTA/t5qyt2qcS3qXGC89sNmE+L8iyDOccaarZ3DxHr9dDqZAzJc/dMW8QAAXYqtyav5IyzIVSBM/IbHbEwcGM2SxDCkGaaB5/7Crj8QilBaYUFHnNmojq2crmPWmdQyAqo4LT7vzDJrvQkVsmGA8Reltn+bagcqJEf/L4s5LMtow42uLMQzirtoF4Qzz5B+t83H+DsJ46o9yzxrEQH30MLsKsPPrxze+cELiqphAn2jO8Ck9e5HTS9Pgzaz9ff0oZHTo8ImohjrOH609/jWqwfzj3Xk8GH3LQx67Ip1DmZ4RPvHkeoUB//NfTp9SPyfw/LOxjXeIxi4GzLlN92CR3P+W7diEnhZMzqtHs2Zu+fGKBU4fVOjmQ2nVo69vdnN2hQ4cOHTp8rvGFFkZqOBsWKM65KjyLRusIKYLHgUeA0IGEK21F2oeQDUHbCBtNU5hGDIGwzlKVN4QSmpDAXaI1C0JILBIEL8JkUZllLRZCD1gp+uZ/J0SR8D+PqbwlNN6Dcx6EwroQNgapUFGPIi/ZPZjh9mbEaZ+dvTlCbOPlgNF4jNI9SjvBYnFlhhCeOFb0+wlaaYQvMKZA4ImiiO3tbd5/f8Z777zH+a1XOH/+IucvbDE5mpIkI6IoYjAYcHB0hI401ll0FKMrYURVwpIpDVIqytLgvSSbFyFkbJWIPZAfsjIYCpbEQvggKiDxwh2zVqIKNeKEwCuP8RYvQ64LHAjvGaYxtrR4U+CykkhFPHZ5DXF5jXu7Ey5fucztu/vcfO8DsnxG4Qp2t3fZP/wuSX8TnY4Yj0ekgz55vg8O4lizvLyMUprNc+e4dfMmZVGQRBEb6xvs399h/2AfJVXoL5ECETGZZgg/A5vj/SFH04xePGRptMRgsM5hNseWlpfe2Obm7V1Wl3tcv3GJG1cusL68ivQWV07wzoRk9TrkVoiloigzInqsDEf0rz+GvXyZ27c/4L03XuX9t9/m/JULbF7Y4q/+ypd55okjXn9zmx+/fIvZ1LM8PsfTT61z8bpkb+556927zN+8w+rSmM0LF1jZ2GS4skbpMwonKb3CWAVOo1SK957cWBQQpxHKK4wpKcuSsrLYljrkSaDxsmoTOa38BR8RZ9Oqnw6cECghQx4ioTAIciS7hzmvvfMB169cYjaX7JQpKcvo4QpTCYlKQSpKH3JmEFlWLizz/jvvkoiMrZVBsED3DpNnlHlOUeQIKTFOkPYHuDLm1gf38FguXb6Ml8Ejp5oxcMaiFXgZREgnPBLJ2rkthAqeFXEvRQqQVS4iHcV4QEnNuY1lHBJjDV6EsENSqnYmCJpnJIPAbJzBWxdyNEmFrYzvpAySiqlDDEiBsZbZPAuCKSBQ9HoJw+EYIUKeBmMM8/mcPA9k/uToCDiizAtKY4ijiMFwSBLHKK1I0pQ0DsnBG68GG8ISlWUZvBScb/qJ81VOksqDoE1Onpbn48NwdribRVnh19NNyx9G1AbSIYTsaUI1VOPEWoNSKuRpgeBJpmNsWZLNp8zzPFxbSvr9lDRdRqlwLecCAe8rcl7pkAzEVX/XydAl4IJ+0bTtwnPjOLsb+C5/TBRpj+g6v4vwojVmxZkeX6d57hwnnUUwemj6pguGn5WQFGlZeYn44OE0OWA+LzAmJDLv9RI2NpZJkgFSerwPydBN5VEKNAYRvuoz1ldJ1WVw1pQy5N2ZTI44nGSUhQHvSdOI9fUVer0xWoO3FlN6TBnuofZeUkoBEle1iazcLHzQ0CvvkzO7R6uXcGISPEnYnNa+Z//9sT0PxKLvnypCPLTcB9nSxelVj2m63IJc/fghGB+OR8o39JBzal5XtP5un/fA5+2/jz2LD7+/MDbPGkkdOjwKTiOQP43L1ArMI1zoNIHzpyWSP8508XkZVqc9n5/FM3so/HFvulosqJ/dJ0z8HxMmFp9yaiM0++kHSjkuugl4IK7qQxK3157jzf21+3T9uzx56Uq8fkBV4nhdOnTo0KFDhw6fK3yhhZE6sbmzQewwtqQsisr6MyRZD6KIQKookPEahPMtK+IQJsM6iy2K6m+HcxVpIkoQkkjpytJWEcURSslAJFaWzb6yXpZSV0Swq/4tCIQ2+RN+c4vNcHuvKzxgQsioyk/X+UCAWmHQuodWEbPSIWWCilOMdSB7OJ+wvTNFRzu4D+4jvEXHKfgC4zz9fo+lpTHz2Yzr1y9z9+5OSJQeSR577DqPPf6r/OQn3+etN97i1Vdf44033uHc5jl0LMkLzzvvvIuOIqIoYjjsk+c5SiriOKkIp+p+gUhHlGUIHxJCmfmGNAuJ7SO8DLHqvQSkrbwTqoTs1SJWAFT5SSSAkUgd4YVHVDkLhABvXSCyhas8F8CUcyywstJjfW3MjcfOM/2F69y7v8MPX/oJYs9BnDIcD3jjnZtM380ZDPtcvXqFXm+Es4K7+/tMJhPGyyN6OylKCbSSKDwbq6uh7+UGi6CclejMkyYRg2TIYLDGPMuZzEpm8yN2D4/opylLwwFprJkj8AXcevUmf/bD17hx9RJPPXmNp750ma1zS6gowtsp+eEeWkoiCdIKhC3xQqGdR2nN1atX2dy6yP7OAbdvfsCPf/ATrl69zGNPPsHWLz/O009d5bU3dnnxpV2c7TNevU4vWWV0oeDgg9vcfes13n/7FrG2jEcFxWyKSkb0eucwdkhpErJCUGKRWuGlAW/RQpDECVEUYWwgu/N5hkeQpL2qPwtEHWtFiCq3zMfcHPwMlREVzLqxhQ1hnJwhiVOy+RHOl6ysrXA4PWS8usH+tGBrcwvjHJlxuNJSFgVLa6tkecbewR6bF64RuQmyfBdTzNFCIL3l9gcfcPXaVWbznM3RCC81L736KqOlVTY2NkEYjCmBCCUDqZrbRfgoL6EoS7RS6CihNCUOgfMS5yy9JGWkY37huRH9/oA8L7AurubHAuctzlsUEVKF8FbBwK0KR6UgimOshdIUSG+RIkGIKgcIHusBqZs6CWGxtgptJCQeEdqkNA0JDTDs91kZj7Eu5BjBe5y1TX4nU5Yc7O9xODmiKArStMfKyir9Xg+PJ45iBoMBaZqGPEZuQepbYzHOYIKLxYNdqW3pfsZ3HwU/TQ6AMCRc5fEQxpEQwcMOGbwK0jTBO8f+/gEHBwcI7+n3+oyWRouk7dZgrMXYIHr4OtOCIHjnVRb6QoL3EkctDgXCQym12NJ7ANfirFriZus/XxPDx275uDgUhHB/hsX8w9tbVMzzQmQQaK1QOpSVZTnb27tMJkeAZDAYsLIyJoo0XsQoKfG44M1XBpFCKoW3dpG4nkX50nt6vYhYS2bzgvv395jN5iAlSmuGoxFxrIh0ErxJRTBcyHMXQp9BE3ZMqeAVWZYGqRRKhXa2jiCSSNCP1FXaoohvtfXxkxei1mnteHwYPLyLnzU/h8mhPXZO8xg6eY3TwmgJIU4dJZW9SeVoc/xePglt5KOM7WMeKQ+5vwd43YeKUe214Ckk3emXoiPUOnyq+DSJ949T9skJ62Nd9COgvtbPepidep8nGqztgfOZiyOtOfRT9oKo1w0tNYYmXNZpP0/1gzqmSpzydX3+I9ThoS/Q9nVa2UgbrxOojSE775EOHTp06NDh84cvtDCCq5KvA84HUiBYx9aJu31Y0njwOARByMD7ykJTIKQiEjHee3RcYp0LIold/Kvj2nvvKX1JURZN4lcpJVGsUSqIJ8EylIWXR2u1dVIYWWyQT4SOqFgpIRwSj8UHy1/vsNYghaMXafYmGemwH0J5qJiQKySiKHKkiijLgiTukZclSmikisjzjKIoUCqIOaU1eML9CSm4fu0qKysjHrt+g8FgyIsv/oDvfvc7qEhx+/Y93nn7FmlviSiJGQz7IdRWr8dgOERKiTMOnMeZEDbEeY9HUpiQUNkJEQhnEbxE6hbyNRlShW0SdYJ6UXMFEiraSaEQpaAO94OvOgAhFIaUCuNdsGDXEo9ESgs2J5aeZCVhaeUC15+5yp0P7nL3/gEv/vAdRsOU0fIyWZ7x7rs3sbmn1xtx7vIWW1trKDR337/Fwd4OwhnGgx7nz29xbnOLm+/fZvfgkKzMcZmhzC0z75kkJePxkEhHGFswz+YcTQ7Y3vFcv3KB4v4E5R2ro2XWVjaZTEv+6x+9yH/6vf/C1vlVfumbX+HZZx+nv3kDP5viZnkgoz0I64mFxFWkXxIrzl84x7nlNbLc8NIPv8fvvv6vuPHEFb705W+y8atfpdD3+eOX58z0BjvzCBEvc+7aOa5efpyyuM8bb32P7/+bf0uSKJ599iucO5eilCRREf1hn7mXZCajsGVj9YwQCBRaebSKcHEIszWbTYmimCiO0SqEsrMujCclFCHrQNXXObFfqdjchtT9CNPCafa0Z4SHPxM1aac99JOUosyCgFAWDAcpK8sjZvMphS3BS8rSYKxARX36vZjdO/eYzTLmxTalt6wsLxHFmshaylmJ1CCUYHNzk7WNdZaWlomibaazOS+/8iKXLj7B+toWuZnjhUAqjfcSU4VJirREKzCmRAhJHKcIIMtz4jgB74ljSVkWlMERjiQdkReGKB5W8wmoKEL4EmuDt5b3rtlg1rHuXeMJIonjCGMM1liUjsJz9RacQ6iQvN06h/ASWVnMu8rivk7YHXKQhMTrzjrm5RwhaMJCKR2BEChgOByyvnEO78O8XBQls/mc/f199g72MUVJFEWkSQIihFFcWV5lvDSi1++Fe1IS5x3WWowJAoxzwZtQVMJOzWyK1s92Hs2H9ZNPAuGyAmeDGCSFYNDvkSYRZem4f3+Hw8MDZrMZadpjdXWV0XCIkpKiLILHTGW9KUQQAppps9aFmu+o/CiDV4QUuvKc8I0npWhZFZ80sKxrvKC1W+L+MYR3QP12kwTxZ0EZVEGT/OL4Y8SCCGf5KtRXHGuiSOIczOZzjnYOmU5nWGsZDodcvHiZNA3jxNrqfhBVnqvgaSO0qPqBIYqi5h0fRxFJT6AlmNJxf3uP+/fuMZlMGYxGbG1tMR73EEpSFFU7E0SPEOoyzGFKhbm5viXnwjspijTG+ur48F0VUQtrQQW3qhZf0k7iWvePemZrPxB/gqs5vT+2vaXO+u4sHM83U9dr4Snbtu1oV+2koHHyOvK0ulT9FfHg+Y9a37ouJ3PlfGycUcSZOuhi6Dxw/IfxYceerG+NQ9rPoSPVOvw0OKv/1B33k+5fdQf+GMLDTy2OPCL8iZ8/a5x2n6JF9LeF1E/lGX00nJybPjWIhcRQC+WniyNU7SIe7GfH2rH9xeIap+YmOfFe9Seegaj37ic3Lq26iToqRF1YLd60Xx6dSPIx0L0LO3To0KHDJ48vtDDi0GglgihSJTLOy7wi2XxIXl6HzKrCXAXyKJAmiIUVq9SKRNVJf2VDnpRlGYg0XyUCrkhCa21Tj5rky+XxHCVCglaL3CdhcWcrocaHMDutuAu1raCQIQyJQuNcYE+cqJgT51DkLCeSg0iSzeeACEm7XUkaQ1lkOJdjCoNWMYIEvMG6HC80utfDFIasKBiMRiAUSEtZzonSCI4sSV/y+JOXefyJSySp4f337yJFzOuvvcJouMra+iZ7dz1r66sUsyxYNyuNyQtMYYlVTCkk1noQkswYrCkhDrkIQvuE2PHBF7n1YGUgwxpr5dAswQPH+ookthV3FNo5mO36kHuB8Ox1HYNeeLyz4B1aS7wvcCZDzT3XNobcePwG9+8c8YNXbzE8t46IYs4Ne+zdO+KNV9+iKKfEScSgP+RbL3yNjeUxL7/6Mtv3b3M4OeCXf/Uvko56bO/sc3A44WByxGw6Z3o4QwvJ9vY9ev2UJIlQQnN4tMd0csDFzTWGSynzg0M+2Nvm7aM5ly9dY2VjC+d6fPB+xj//3/4zveT3+PoLz/FL33ierUuXkBKYHOCzCUJIpLfEzmCFwJicnozojcd866/8DQ7uvs6f/fDb/PCV13nul/4Wub7OdlaixzEikhhbMoklB16S9jd55lu/yY0nfpVXfvBnfOf3X8GWLzIe93jsiS+xefkSSX9MP10iN4LMaEonsUKhhMC68My01vS1Rkea6WyGzQ1RlFTsX2WdLQU4kFgiAUJ4pLNhM4EIHlK+DudT5dZBElyLarSIQuFqKvgYQddePp/qac+CcGp7dy2soAW5MTgvUDrhaDpHRQO88GSFpz9YRqBI05TJLGM+30dLiSsKekkPnUREaYyXYbxrGcayVjGFy8mKkry0lEUJ1vHGK6/z5Ff+EuPxeQ6PjjCYoPmh0CLMd4ISEBirQUYIEfJ6eCBSOoSPqoTfNEowZYl1ltxbtI5D+zch/0IILqmCoGFtjhAarVUlDtSecHU+B4iUwhiLMzk6iqklrpCbRIAP851SIWm4tSXgqzKCJ4NqLPUdHomQMiTmDhNAyD/iPYWDLMsXz0VqRksrbJzbQiqBs5ayLCmKgtlsxrvvvsNrb77BcNhndWUNqcKzHAwG9Ho90jRlMBiSJBHeQ57nIb9L5S0oK2G7LAxSxQihjvWHWiAXHnQdlqrlpRK8BMUDfWmRND54T9WfLfJO+cq7wDMaDUkSzd7+hNdfe52dnV0GgwEbGxtcuXKFKI0ockuWZyFkmgrPyzsRRleLJBD1K6aqh2vEyPqN4xBeICtPPV+pKJU0FkJsnRg3NaG9CBXRyhlUnSuFRqiKH6juszZGqA0GQn9wVZ6Z8A5VSjdt6qxBqog4UahIkuWG+3d32N3bxVpHv99neXWF1ZUxQgry3JKXtuJBgmhbh8dqOq8IphQhHF2BVoqlUYLwcPvuDu/ffJ/JZEovSbl08TLPPP0EOhLkmcSUFmdC2LnjRFol/4iqJUTdjhUPUv2TipYY3J5/6qY7jU6v57f6QH98IqvGb6jF8ZKrIVvxLg/mClnMe6cJDw8yXkJ4as+/hdDRaoiKLFv09/BZWBOJBZ8nFtcIXrm0vEeCmBVUyeCN24T3qwUnt8i7A0GMql7/D4gqdai04+FOH2yHmpf0+OqZNXbCDZfmW21W16duh2oVg/OVCC/CHBHWolXZzb/qGVb37J2v3mthPhQVGSiqd6RQtVBbeTILwrqqQ4dPA5+0GHFsEQ8Ps87/mdTnVHxex9Np7wR+doLRQ1CHmBKnuQN+4jghCNXv+LNEjgdl6ernWZuA9jGc2k9D0bUwQ/M+Fr4SR449j5PCzSkiUv1i+Rl533xh8YCXTmtzd+qz7tChQ4cOHT4evtDCiJASlMDhAqknLMaVeALx7p2rSJp6QV5vlN3i/SoCmdRsy334nxSCWGu0lNg4BmqPjYXFcdubBGh+HoO3KKWI4ziE8JCLjb4QtSCgqHOh1PYl7Wj/1tdrQh/uzRU8duU8jz97gTff3+W9D7bpDfsc7u5gyimmnOOdIYqCJbsQCudtFe5G0esN2Jnex1RJko21SO+5c/c+3/3uD4gjgZCOogyeNxubW1y7/iV+6Vu/wss/eY3f+y//le9974f00z5Hkz129kYMh0P6vR739ycsDZewpgiCSF5igbwsKOdz6FXhlZwDDNRJ1msGQlaeIbJe+C8WPUJUocXq5+RcdWogRpA0Vt6+sq4VQiDxTYgdqUK/UVpSZgXeZKj5lNXlAWtrq4i0j48j7uzco5xbvvHNb3Dpyjn+8A+/zasvv8zLL/2YZ599ll//a38VpRXvvHcTYzLOnVtnuLTEZDLlg9t38N5zdDDj9ge3yLMps/kRiY6I4phIxkQyQiMZ9xJ+6cvf4jd+/a/xu//6P/BH//VP+O533mXr2mNsbm6yvL7JfDrhX//7P+E//ufv8IvPPMGvfOt5nnjqBvEoRpcZPjsCEVHnleBoDtMDRGkYLi/xa//db7B7v+Bff/uH/PDuLun6C+wVOSJOkdKTOwtRxNxLJttTRnrMC7/yN3juyy9w++bLvP7a9/jui3/Mk/Mn2LpwCScjllfO09dDMmFwIlhDaxWD0BhH1fYRq6tr5HnG4f4eUjqWl5aQccqkcKAkwiusdxU5FHq9qzuDDBsRL3wV8ickRW7NAM1+ptqicWJrcvxowUOtiB9IOu09QkmsMejautyBjlLyPCdOBkiV4FwlBvUVSZIiESjhiaQOYaHwGFsihEcLVxHClv39I/YPJwilMKWlzEoef/YxkrTP/t4OxnuiXoJ0EqUSnHWV6LEgOb0/Pn/VeSGapL8QwixZiXOOslyIt1JVHh0uzJdSAEoF7wzrKq+4BZkXSMVA6kdRCNtUljneg1YxWiqs92HsErxCtNYoJSiKAutKoiiE8KqFZSEEWuuF4ICsLPBkeP6AkCqQrpUwbYuCoiiqJNYuXF8r1s+tc/7iFtZa5vM5ZVlijeX+9jZ37txGSkmcJMznM7J5ThRHXDh/gZWVZcZL4+BpZkqkUGitmc3LY/fuvWvIYClkJQRWocMkeOswpSFKkmqKC4S/r8hhrRV1iMUQqjG0VaRDaEJngjjzwfu3uXnrFtYazl+4yAsvvECvl1IaS1bkTPYzIITQi5TGFjaEZaoFnErIkio8o5oYb8YVNRlcCfailkD8sX163aeUOD42ztqGCmhCU5WmAOOrEJQSIXzw4hAeJQTOe2xpQEoirZFxEgwRigypFL00RSpNkVv29/fZ3rlPVuSMRyMuXb5IL+kTJ0FYmUzKqg9ERFpTVmHIlJKVd2TIEyYB52wIOaclWjsODzLee+cu93fuIyVsbm7xxJNPsDROKXKY5xY/twgVhPbaaMG37rnmSOrWraa/hZZRofZWrdu43Y6+NZcdb30WzPtC8Wp+BiEijMv6vJpvOW05ElDl8WqdUc+fp+ghJ9B6/zZzTkvYEIucI8Ivvq9f5aKewL0PhiOxqEQwD7LKeSOgDo9ZN2rjZdNqVNlyOanvNYg3VGu9EzWvxnFdP9cSWKx11VwkG+9jV2tQIlw3cFy+dpJEVC1Za8yi0u/rNWQQUD1OUuXDEVUeNlpx6T0qEo04paREqUWbRVGoW8h35ytPX8dEmQ97UB06nI2PwyV+EgRuTWZ+VO+Rn4b/bE+snzZ//2nhtLb/WRDqHybA/ExEkda1gFM7w0cSij5EJDnr8mdd78y+uXhXn9ZEvr158b5VrY7o/1CI1k/fep5d23Xo0KFDh58CX2hhJE0jcGVjFQgCWzqs8URSNYS5rwigEKu88hZp3qzBYjkQc621jggJX6WU6IpstBUxF0VRiywLBGAgGF0jlNQCSi2MGGMaK2wpJEoIVBSjtK4saYNoEtZIHrzFCY/xVFaoriEdnLXM5xk6niGEZW19iccef5xscsirr0W88uqrDAY9ZlnJ0dGcKAq5CcCTZRnOWWbzGUKIxiOmN+iTF5J796ZI6ShNzu7ejxn0+xweeuazGXfv7XP52nX+9v9yibVzS7z+2uu8/uZb+NuaQX9IL00RVTx874Kwk+c5Hk9ZGuZZhpQDsKEuTZLhmuBorR6FrFQO51vry8AmeFeRHM4hfBWiRSyI4dATFkRhndtEVcl0UQqhJdJ4TFFivSXppZy/dJ7tmUE6SdSPyWZzDrMpf/Tf/ojesM8v/+pfYD6bsbO3w87efZyzbG1dII5ixqMV5kXJQRxTZhnzPCeNIwYDzdHBLvPphL37+6RxSm+whJlPmR1NSC+vYrIJg9jzP/3P/x3//W/8Gj949Q1+/0/+jNdeexkhY9ZWNnjqqS8zn2e8e+uAm//f/8TG2oCnn7jKl564wtq5FYYDjXSW2XxCTyeoQYLLMoRwZIcF46XLPP2lC7y1lzEnItKC3BuE8sReY3OHlI6oH2F8wd18RtKPOf/c81x7/svcvfUu77/3Bvd3JmhRMt/bYbSyQn95DaF7qN6IWWGYlwonUkRlbT+bl6SRZnN9FZMdke3dIzOOeLSG0n2UivE+5AJyeJw0eGHxuIqwDf1CoBDOgbdnhsVq9oknBBII5G5bFPmwECu1ZbGUYW4QIpD7QgjiOKYoikVIJu+bUEZRFOGtQyuFFBJnPd4b6iSSdeLxsigZDgf0+z2ohBOlJUJIsjwjzxxJvx9CJRlPUWRopVkMlYXlVG2l3ogjJ+6l9mAzxjR1Dpb0NQG58Hio4Srr5IWF+MLienGswntbtYHDE/Jj1Mcs2g7iOKY0wTtDRupYmYuyj9f+mMglQwg9pajm10AMSqFDsndTcHhYVKEMfRA4pKTX73PjxmPEcVTNySHU4tHRlL29+xwcHLK3t9/cs7WWKIrp9/uMl5cqsjQijoN4EemoseS21jTeD947hBLEOsbaoiFqlZZN3ilrixBSTHiUlGgd4ZxjNptwf2fG0f4BR0dHDAY9fvHZZxgtjTEm5GqZTmfUDzeOoqZdrAlEf03ThucQDnS1B087b0Elxof2rgjZZrwsiPG2ZX07hXqroOMdrTrc1ARzlISzKpIZIZC6fgcHw4NgkOlDiD1vkFIRp5KiNNzb3mEym2KNQWnJuY1zLC+HcI1lCdZ45mUYV7GO0FpQFCGHTVS1jy1DiCxZieRSeqS0HB2V7O/vsVOJIaurqzz/1ecZDIIXkXMwnfvGOh8VxDoDeOdRLULenzAKrUUJeWIsigd+adMzldjQIvBE88wWghW1K0Qzj/mGV6E2DmBRl+MTgWhOD+P2+FfNIScmD3GiDCUqz4h6GVVBNvdeCz9Vr2kqVQ2IRqzxYEOosfouqyVKJUpUnrxVDpfjfEe490prQAjfeMc4V4UwPWVOW4i7tbAiG5G59oizdmFEUedz8sLXsVrDfFZfl9AYsooD6owNRi2117CUSOGROoiBHouzBc6F/EkQxt/RYS10h3eJMY4ss+R5Tp7n1APJOkteFGRZxuRglw4dPhaqIfCx6eyHrZ1887+HnF/9ryaDH4nLPPm++bBrtIWQR7hZ8VHr8yngUcj90475SKLAR6xSXT7H1wSfGzTEuH/09oNwfJtQ/zCcFKQWREHwYKxLOVb+KdcTi/ePaD5uCT610PQo4+jnGifWo953zdWhQ4cOHX5qfKGFEelslaDcBUs7FIUxlMaSphqECkKDIyROVcGCG2jIzkBm1FaANeVax1oHKnvKOsxCsER9MLxKTarVv9fJc70LxEYdlgscUgi0VIiiDFa/OkbrCKECMRo2whJRhQMTvk6W68G7kPg1diAsUjpm0wNsOSdNJCvLA5aXR/zic89weDBnd++IO/fuMp/NUBJ6aUyaxggEaRqT5xnGliAVhRGIKHh0pHrIZJoznWXs75UU+SEy+glLS0OWxinJIOHJX3gMrzz7u3NeeflVzm+db6zBhZDU4TSsdQgcZVEilMQZD1IuFpPeQXW8qNUpKSoNa6FWLcilYC0arOV98yybUBmiymkg6rBktbmpCiG1sAglkUoRxaBizWg85MmtDTaN4v2duxTvZeztHDFcGSNjS5YdMc2nGFty/sIWcRRx79493n7rLdbXN5hNZiAk/f6AjZUxvX4fi+Ptd94kjQ35ICaNUmwJ68trKFPQi2LKbE42U5jsAFtmaB3x9eeu8JXnbrCze8RLr77FT370Ou/depvCgIoSxuMxGTF/8L3X+b3v/pjN8+s89cQNrl/Z4vL5dYr5jF6c4CU4nyGEBalJ0xTvcpyVCKkrC/ISrUC7EIvfOvBVOKGi9BzlBQrLcO0KT65eQJqSe7fe4YNb73Nn+wOy4mX6gyHrmxc5t3WFlWRASQkiIjcQ6xjvCGJINGS0NiIqDMZ4XFngSofUGqlipBRYZCVshOce9hYV5S8FwnmOxd9HNoJA257stH3whyZ4rkd/axNUiwi10BnHcdPX6nBQtcdDXY4TUBQhGTqVt4CSOhBthBBySimmecaVK5cqbwZBksaUZegXNg33k2U5SqekaYyzjpOJL2rLf18LiNWoau/jrLNBjNX6mDBkbQjtpKrcIG1SNgg4wZtESdWQnQjRiB1CKKJIIaXF2SAUiIpgPJlPSUqB0lGTWF1JeWz+DEJ0eHLulPPxHuPq+w3hcxZeM8GDQ8e6+tsRRTHWWrJ5jtWO6XReiTVBnB6PlllfXwYvMZbm+WbZnGw+pyhz5vMps9mc+XyGc540TRiNxqRpwnw6B+FJk5ReLyWKFEJolFZE2hN8m+rQWmVo/xiU1FhnyLOMg4MZRV4AIen5+fObPPXUE8SxZzb3HB1NmjbytPd9jToW5rwT+Sjq+bEWptr7xTrUVpgmK0HFt/vOg3x68wza350xlBYh16pnyqLPgEfIUJISILREoLAmrwjfkqIo8c4RxYrVtVUGgwFx5DElZJkNwqgMz1k1XjGOLDNopVBxFeZKWKIohNEszZw8Kzk8nDUCU7+vePbZJxkM+wjhKXKYzqowlz7knhFSVYpq9e4neBwe88QQge+oU2PgF00jFo/pGN92kr9pP+N2wadJKBWl3wgltXfsMQvKkxxi9XdLSz2R3yPU7pg3Zque7WnTO489Vneac9pzaJgf2sTT8e/C+7tuS3/i3FbuEu9b7V0l/pUiCCG+FkJa15Si8SRxVd6xY2K4WByHdzgfvFAjHcQMKrGYOhyetzhvQbpmnQi2EoQN1jis9TTeJs5SlJY8d8xmjtksGJ7M53OyPCfL5lhr0FqTJglxHAdx0LompF+R5xRFjrUlg+GA8dKI8dKQNNWMxgOGw/NocZ1/TYcOHx1nrY8+scLr2e7DiMqaAP6oobXqcz9p/DT1+STrAB9d6DitPT5hIeNkyNnPLR5J3Gq9JB9BhDj724WY1t5/PjgGTiwC6l8qrcQ3fY9FH6zXZh2OQ7SGSfO/Dh06dOjQ4afHF1oY0cojI42wlUCiw8LElBbZT3HSIABbWz5XHiDGGcBXRoCiZaGxQG3Z6r1rjqu4iGOow6ScZnFtrcWa4NFSiyXGFDjnMc7hbYkwhkKUSKmQWqO0RiuNFg6nwFZkZJ3q1ouQpwQM3hviWIGwKGkxxZw4lkCJwDAYxqyfu8Fkus9sutfEeE+SpBJpKoK0smC0Dkpj0SoCBDoaAIIk9UynJXkheO/WbfqpCvG8lcRi6Q9C7P7V1VUOdw8CoWosvd6AMptgSoNUnrwoAsHXWJXKZmWzEKJCyJygWNU5XapcI65ui+o5yMVza8frB1HF5m49y+oz70N/UKIO+SNAhWP3D3bQq1tcu3GVZBRx/+4+pSspvcUKwWA8YPvuXf7ku3+CN55LFy+ytbnF6uoqt29/wNHRBK0ilpeXwZQkPcWXHruMNYYP3r/N/Ogmu3uH5MkAZxymtAzSHt4UKOmQkcOXh9ijAyKdsDXQnHvhS/yF55/mtffu8pOfvM5Lr7zJ+x+8g0EzXltnuHye3VzzX/7kDf7gj3/A9a0VnrhyjYtXzrN1aYk4jbH+CC8l8aBH3I85LEtU2kdJRYnD+kD0SKkRMsITklUjPCiLdSXTwoONwESsXvk6a5e+yf7OTY723+boYJs7t95nsrvN5uY6S+MlorTHKB2Ru4iSHjMfk3mN8zFCgZYG5wqsNRibg5ujdIyQEZK4iRfvReVZJC3CBxFUNDuIZhRWRrWy/RGLHUvro5Nj/AzUm5zg6aUrT4KoGTt1mChjKs+FmoSuRTwZRM4q1UFN9wfPAefIi4w0Tbl+/QZ3791BSsF0NkWVJeMo5JBwUmKsCeGYXBkS1jex+h+YsBoDNX+iedoW1LLKi1GPwRAOapEXqVUcIKp7EhX5R5WsWzZkfO0ZUo9rZ+0xkVIphRce4yxSqhBuqzTYis2sw3oFAr8iSOsQPPXYrljdQKbWHim1JXkdqkpV+9AqN0GVz8R6S1EY0rQX5qXqORrjmE6zUKdIN4TzcDhmaWmZkIXFPCB61z+Fd8yzjNl8Rp5nOO/Is5y8yCmznPF4zPLyctN3QlvA4eEsiGBJwmg0YmNtDa11RcaHkGrTqUVISZLEiz4lRVOXerNch/yh9f6pvXWCIBMIfaqhUDsZNB9wfFy0vRoeyg09ZCPa9rQKlv/BvF5HuhL3wVpHXmbkk5yiCG2qlCJJYpb6fdI0rYQvjzGeMg9Cu648b0L54WasCTlFklhV4d08zgmKYs7R5JDJNG+8SIbDlLW1TXq9MVHkMMaSZeH9HkT0SlTxohFc6r5VC35VyqwH4CqCQ/iWCMFCFDne4qfwXyfEDHFiDEPlhXJCqHDNcYsvTuPWHAtCtF2/hYj6YA6SY5VqSCTReGe0CYrFdRd1OCaotCYl76Es6/EvmnBzJ+fjIIgv5p26vvU9SCXQGpQCpdr33g6X1Z4rF9c3BowNfopFPuf+4QGz2TSMb2PBK5xTOBvma2dtyDNnbRAvygJnHULJymNJE0W6Em1DKD4pXeWlJOgljtEgJUlH9Hp9+v0hvV4frWOEWizDvQ21rO+r1i4RHo/DeYdxgtnR9OTD6tDhc4RHYqerw2p2+NOu0yPgEav9M0WjUPP5q9snibNY7mZv+FHK+Qio++CjnHjyJfnQU07p1/Ui7MRnotrrHHM/PaaUdHgQrbY5JnJ16NChQ4cOHw9faGHEmZzeIEVFIY69lFVoKGvxMoRQUkpWYS2qkEonQoTUSw95zPK2snoWnjr6dsM2ViRKTVKACJbc+EVcfyGQSqOVwkcLItJaS1Fk2NLiXRBmHMEi0loD1qNKR6ktwpkq3YZEKEUUaaQMhCsyEAq5KUjiGOEd3huU9ERa4GyJEFVoLwxKgRTBIjSKFOPxuBFr+v0UUxYI6bC2IMsn9JIeBkG/N8R7gdKaorQIERHHQ7ww1HHphYjxWOI4ato/iiKyssrD4hzGWmLlyebz4BzifRUiK5h9hnAklWWzq2Km1wSgdwtyD49ogpTTYoGPoyZCvKvIkrZ5bGUxXpOtToA3BiUhjiRCOLJiShIrBoMeUniiSOMJf9u1FV59teDuB3fo9/rs7ewDDqUFg0FCP+2zurrM/v4B01lGf5hSZHOeeeIJNpbO8cHNe9z+YJvpdIqzR5intjDOkec5kTQIZ4m1BpPjKYAMLWOevrbKU9d/hb/4l17gnbdv8Z0/+yE/ee1Ntj94l+W1TbY2z5NGPd56Z5v33p6yvHaTdFnz+Jc2eer6Jc6tDUmGI2R8Hz/PEG6EKyzxIAleJZHHG4M1oEWKVrrKkRA8rYzNUVohIsX9rCSJE6KNS5zb2GCjnFLO9pnsvs+du3e4f/suaRoTpynJcJnR6nmGyTIFhlIYvAieH0qFMEXG6cZiFhxRFPLCiEpUkC17edc89xZj11hbLRjBhpD0i5j/p4map4kjbYIZAtHlnGu8RWBB/Nah89rn1CSeQOKwxxbrghBuazaZ8eTVa7zyyktEcYyQsglzpZTGuuBNpoXGE0IEBi8n1xCbC0Iz3NxZQs9JK/62x4s1lUW291VicNEULoVCVPce5jia9qgt61011lSI1YcxZfAyUcF7wlakp9aVN4dzKC2rfC0OKRdtGu49hMIS1f9ry/EmT1T9zKmFLVURtYGEl1UCgPpZ6CiitBZrAvkulMCYkOg7SdKWQBRIcO88IVW8xQvTEKx1noogYoQE6T6oQU0fCP9yIm2ZzyVHR0ccHB0cE89qr6PSlGzvbFOWJWmaMhqNWRotoXWEd0FIUlo314vjmCSOiGKJlB5rwYYUUM0zAF/la6hEnCp3TJ0Y1Fdt1ljjt8ZBeAC1MOWb70MWj+MZKepz2lv3pm9UAp23BqlC/hAPmLJkls3IshxrLFIp0jRhPIpRKkIpHcaUs1hjMEWdEyp4OlHlZlmEsKQSU0J7FIXl6GjC9vZ9JpM5cRyhdcTS8oilpR5K9XDeV1b9gnnmqfPlHPdeqHOBBI+U6hHjXQi52RY6TkKc/He27ro4pzWNtVu42ed7XyXzrr8TJ+YToMkxJJuCgqDTel71+bV+El62FRe16D/h/qtyagJH1HUSlRfrgsOqxw+EUKOw8Eaphc7aG0xKUUdyC/lEJEgtg4GLrOcfjv3zXlTPZRH6zZgg1Na5emazOdPpEZPJhDzPqrWWoShyytI2+UNqj+DwrEPwriiKGo9AgCSO6cXBQ6/f16SpRGvZJFAPAnH4F8RkXf2r8sdJha48gH2VUF2I8K5rhEJ8MMipnpkpPFKF9hACnPXkRRhftm7cYNUScm4hKMoP71sdOnymaN7ZH8JWNuLIyS8+olgiHvjl7Mn6i4aPQt5/YXH2Xu6zuPaZx/gTP9toP6JT+7V/8LP6HVvrISc+P/NaP+8QLBLf1+jaqUOHDh06/BT4Qgsjm+eWmRwdcHR0wHQ5pbc8IIo0dTxr5x1aKJQSWO9DSATftuoOAkcdqqehB7xfWC8LEPhWvkBxYp3jj72Ma+JmYYFdhXMSAq1D0lfvQniseV5Um/aQd8C6EFvblBZvTbWvEHhRoiMZ9sZS4qTDWY2KghWtsyXOlkgfSHVnDWWeoXWCxBLFCnDV5l6QpmlTvziOyfIMKUNi6MuXzxFFEQf7R8xm+wivKYoMKUO4GakUzkFe5PSSBEGEM2VI7FzkuIqoTdOUyfQwWN1WbZPnBd55tFR4ZyrRo6JBfdXGTcbllgWor0nQWiiRTbsfi4Vfn8PxUOZNeVKAVkEQqx+oAOcMSRohS4cpc6JEE0uBFlBkGUWekRcz8mwerJrHI/a394LXgIooTUmvFyGVB+nY3rmLlJorV65yf/s2/bTHD3/wffrpiCefepznn/8qN999h/fefZXDyRwFzI0n7g9wJoQM0ioKGRusQfgcSoNHcq4fsfHsRX7xuce5f3+fF//k+3z3xR/y6p++StQbc/HKY6yubuGk5PW3b/HWex/wb6bf5rlf/BprW08zGPUZRyV5OcEKgSk8SIvXoHQEKIQTCK9RwiOVw/lA0nvhMD5DpZKCHElE7hKU0uhhnwurWyibsXvnXd59+zXef+VllpfGXLp6xOq5LZJenzjp4UVEgcJ5DSIikhotNcoFci3PJkjpiZQK41dIhBPBQr4Ko9MehGGMLGLUL9hG1xzrj62eH8TJfnRSAKk/t9aG8CeV0NkWI2oBIpDGCl8lakbQzDF4jylLhv0+k8mEl195mfWNNYQUzGczxMERW4R8OLXgoZVG+JAE3jpLpFzw7mmxtA/bDwTL6YWHR1NHIYijuJUTKYgHNVHchLcSNHGQm7KED14xTVnhWqoKw2atweGDp4CoPU98RZDWgmjwyKnnovrcRZMu2q42mKyPrfNKNeELCOG0mtxDIsy73kOaxmR5jnPBW0TpkPslvA/CvKJUKNc6i3egtAJJZc3OA8+6LG1VhyB0JXHwJJrNcg4OpgihSHs9VtfW6PV6aK2aPFZ1WwTytmA+zyiKsiJ2c6bTKcZadBQ1+anqXFBeeHq9lKWlZUajMXEcN4JSHMdEUUSapESRQClf3VOwkC9M8ORrhJTqPRfEw5CvqXLwIAhtgBdBVEcu3oX4ZvidHFUCWYn4mmyesbu3S5bnTf1Gwz69NA7vERPyJtT9wZmQp0criVA1dx88BuvShfCV6BEEvSzL2NvfZTqdI2UQWq9eu8TKSoxzmiIPQhHeI5Qkz2vvHYVtEfxNHxN1H6/yoFQ36REhsTbHvWlOikOCmjgXrW8XIubJkFE1PH7R7vUnLU8H0fh8LNp+oXB4JILgSVp/EliWZt3iGzmx4WW8AFy9tqkPEHhbeW/54AkjhcdXc0HIn1GJlTJ4aihFJQpUYodcCLf1cUIIylJQlrXNQ8gJMzs6ZDo9qkJHBW+MPM8oirwSFCvDiZb4WxSG2WyOMcETaDAYkKYpuhISg9iRoHWK9yVRFNY89TFSSvp9zdKSDJ5mKNI0hDcsSwVeIbwI+U+8W4wN0RofVbu6mpwBtJS4SoA0Jqw5hSeEBS0sVHNfI2pXfUIKgbceYxdzbC1e1mU3n6sg1rUTz3fo8LnFo3L5p3Xnj+VJcprA8oj4PJGqD7Rb64MzDMK+uPioz/gzwiPU8dTHdqyMUxQQURceTDV9E/vylGv+uXrunwDEovkCPfPnbWx06NChQ4efJb7Qwsj/43/9u8xnU1760fe5d+cWRwc7KNKQsJIQH9/LCClkFc5JhoSdqo5Ff/wFWhOXi9XIwjuhTlYcRJNAUoha9IDmu9rSsWHkRfs6viHscJAkcUVgBCbB+RBr2jlwJoRgMc5jvaMsK+tlBFYKrAdnDFGqwNsq3BBEka6S8VqSJKIo5iyNBrxf5WEpS08cp1jjmRwdobTGFTl4Q6RgbXXMlauXyaYzfvCjH3Pl4lXu3t1mf+8uZTFpLJy11AivSXQPF5WkSUKRF0RRxGQ+Y2k4Anxjbe6cI8syfBSRz3KSWLfImkC1KQRIH/5VoZxEi/xpnk9gSKGypq1JX6AJeSKpiCcpF4vT2iJex+AczjikCERJGsd4c0BfS6bZjFQKtDEkuodQmklWUBY5sVYkkQYvEEJRlpZ5lpP0FTqWaCU5mOwznxkO9g442NvhxmNXeeqJJ5BS86Mf/ZjJJOe5X/hF/tL/6S+zshwz2f+AUgyQg2WKQuAoQwJy6xCoylreBVLQeaz3jCkZrURc/Z/+Kr/+17/FS9/9Pv/x29/hxR/+IbmBtfMXuP7U06TRKlOxxI9/fBP32n380jKXv/QLRPKQc+vnmMw9ezNBVsYgFMqFfuiUwwuH8wVCloBBaXB5jrKSftqnyDKUiEFInI/ZyQxKjkkufYVnrvwiT+Yz7t56kzdf/QEH+wdc2Fwm1ZLR2hrD5TVyK8gKiSXGEldkvyaO+3jnODo4xMqIYW+AcAKlQmgp9GK8KKUoC4OKQuibup8Eu1rbkH1hUD4YA+d4MvEHUZP19U+qfpUkSSOAHptDWuUsxAhw1oWcLy4kak+HPd59993KEh2SNAUpKIvymNcDIoQeUipCChHEU2cAG6y3ERXR/XA24Kx6elGNC19Z61dW2LIaNyEUEsRpgneOogrBp7VqPCXqnEu1R0oUxxgXcnbUIceadhFhNNdeOM4F7wat4yakVjs3gYcqr0y9U3xw3j7tPn0zj3sshigOYc8KkxPFGqkV1pZNma7yrlBKhmTbladPCNklGvFIqYgoUlgb6iyEZDqdsrd3B2stvV7K6spmJQ7IEDYtK8ghvH+sp46TpKSi3xsyGi6Fecu3SdFwTC2kGGOYTqccTo7I8xxjLDs7Ozjn2NvZZT6f45wjSRKSJAm5DoqCNE3p9wesrK6wvLJCEsUgQjtppXE4pJLoWBEp2YSJkkBhPK6s88kE8aJ+Rtbaql/K5ll6oCxL9u5vc3h0FDxr+gNWxmOSJHhFOTy2NOR5XuXOkoEpr67hnUfrmHw2R0aaqMoLFrxDNCA4OJyyt3ufLMvROmK8NGJjdZVeL8Z7QWkK5hOL8wVSRyFEVpVAWwkJqgo75lyT18b64IFQP28pRPUOqXpiRfJ74fG2svCv9uBu8apHSo+3tnk/1X1Ra01ZGmTL20pUYeQsQXyr77NaNDTvNlf1YpwAXCMiCmjmRFeF/9JaYeocPtUIkFIiKwFDhYiioa7V36563YZjIY7Dd7rKiO4q7yRrYD6HonAYUzbicC1mZNmcPM9QSjEYDLDWsL19n93dXQ4PD4NhhA9h8NJeVIWU6hNFEd57iqLAGINSQcjo9XoMBoMqh08IY9jr9UhTTRQthKQ4FkSRXOQda8ZRe66ovxNYG4TC8LvDWsdksjhOKSpxq5KpmjB9QC3Y0ZqSgo0GpQsdptGrq+9cJSIHj4+qLq01oheimRPqIhdeM8eNdmp9rJNFOvy5R1t1fhjX2Qw2Pv7A8Cd+/jR4WB0eufxavT5xQltx/qITwB+7/p/wfQdG/RMqtxI3zv6alpXlyS+qfWVdrboPuOPV+6I/908AJ3c8XYt06NChQ4dPAl9oYSRRno0Lm9y48T+Alhzde5/v/MHvkWVzUIEo8M6hosprxDmkVMdiWrdJ0XpJ09ByZ5Clrb12izQ6TtDTHCKObc7bBKGorCGFEMFCWcjK4F2CrUgHC6Ur8abAOYOzHmMdhS2xIkdHtrFk14pAqnqPKQz0bHCS0AsrT4GnFydoFUKcxFHEjEBSlYUhn07xpiCOBIO+4vLlNZaXexwc3OOZp58izww7O3sc7O9jjWE8HJHPJoCvrM0teZ5je32iOCXP5pRliUgjJrN5II2oEjULtbCcqcjgRSOHUFohpn5FeNceOKJKICLaMfX94uHUz7Sx+BXBW0TK4DESqZCDBIOorDSVcBTzGao3R0lQCCKlGPT6CDxaaExRkmhJHMUorUmTAbPZnOF4zOr6Eu+8+xpSR6TDHlk+JekNeeM732M4GuC9oygKnvmFp1lb2+KN197g23/0Y8psj1/91Rd49fV3cSVsrKyiZYlzGaXLkDicKeinSfCykQJpDK40IQWImTGWil/6y1/nW7/2V7n93m2+98Mf8F/+6I/4sz/6dyhGXN56gpW189hewu3DD/iX/58/4vqlx1lfvcJ45SqXzj/BtFTM5iVGKgrnmOYFSIXUEmOCt5F0gl5vwHxyRDmfkqoU4UqMlzg0qIRcCDIjUZUgufX4V3j8iWc5uPsWH7z5CvOjXbJX38BE8NgTT3HpynXitE9hPJN5RpaDEAlCRJxb22A+Kzg4mhNHMWkvJYpiclMAIX+HEx6HD1paTTphkZ7Ko8FVWufpY/lYYt4Hxrk/9vPk52ed13iaeRlIfVHn0gBZ5fNIEo2UitksYzKZsLe/zzzLsGVOaUICaqE0Sooml4SUISG0t1WIH+eCMLsIv//wOp2BOmRRLeLW3gxCyEbUMMY0BK9zoS9rrRqPheBNFsj9EEpLVdbdBdZakiSpQtaYZsMfrquqcW6bRPcnGrtVUXliy1nfcEUpChbf19OKWCQhF3IhMmgNOtLHhJsQ3ssSkitX80JN+jtIkl4Ip4Zg7jLu3bvPfD6n3++zvr5BmqYhJFpeBFHJicrCPJDdIYyaos7/ASFxc/BGqT1QFuJIu//FcczS0hLLqytN2wbh2dNPF2QvgDGW2WzGfD7n8PCQoig42D9gd2cXa8P8PJ/PKMuSOInp9XoIIciyDGctSRSxsrLK8vIyS0tLwatwNmc+nyOlRClBkiYsLS2htWQ6nTWktrWWpfGIG9c3iKL68QmsFRjzIBnvfFDKrA1PztnQz9PxEOtc8B6RiqOjOTdv3uTo6JAoilheHnPhwmbTr5x3zOazystAVN4DKoTPFHV+FtPksqGaH6y1CIK446XEW4MrRTAuEGHsOWuCCCuCaCa8x5jQX0MCeFXl//FQJepWUlR9wOJtCKGUJFEgRHxQHJqlgIcoUgipiKNFv1e6Dr9G8MqTQXiBKul4dTkh4kqHCUS7cQKtg+WpMSGfh3NQFjCrRKmyLJufcRyTpinOOebzObu795lOp0ynU+bzGc75SpiIg2erXXgwBYEs/BwMB5zb2GA8HjOfZyRJwtbWeS5dukxcCXZJnJCkkCSCOKbxNmlG8wmGI+QCCWKHd8eng5B4XVAUnjwPonN7bg7J1+vmbBlPCNGE9gtCiGoZtBznSKthWp3XmljgmOeNEL7p6wiaqDe+FjjbSxvhW1xuyyPkWOkV+SNaXy6K79Dh5wOisqRoEo6d/L763+dlUDysPh+H0G4LICdFkc+DOPKxhag/x1R2W8w+7T5PvEeojzuxRq/MgIDKe1y0+0H93RnX6NChQ4cOHTp8ZHyhhZG8yLFqjM8z3OGc0coy6+sbHE6OMGUIO2MLE/IUKIXz7vhyxPuKrqoXHqKy/vPHSTagvZBpCyoPJr09QdRXxy/C8UC95RbCV9viEMW9/i7EpJZoIVFaEnuNcxrngxeBdpIyhykhpIJSKlhqyiicpzRlUQC1ZXBlgVrFw9ZREgiO0tLr9/H7h+BAEYOVxCrBkWHLjGx2gJQOayb0e4Krly9SXj3PZDrley++SGlm6EgiRCB/amvn2sNGCElRGrTuMZ1N8T6QLNgyhLKpWQTpkb6ymHEuxNJ2LoQHcVU8exkSFAdCYmGN315Q1uF66kXpYv0oFsdXuQYCmerABvFIS4mSNW8liFSVONkJtIrwNuSZiKMYU1hmsxxjPWna4xvf+AaXr23x3q2bvPvOBzgEGxvnuXT5OqsrG6S9mNfffJMf/uRlbjz2JNeuXmd1YwUpCoyZ87//7/+KXqT55gtf49qVC1y7cZnR+gYymxNrzzw7xBmLUoQcJK4O1yYxhcXtHiKYsTWM+Y3f+Ev897/5V9m+e5+XXnqHF//kZW7v3GVSxES9Hl//6leQhefHL/4haxvv0n/7xwxXNrhw6UvIeEzhBwx0zCwXlFaRRilCSw5nE1wsSforOGco8pyYOsSKxQmJR2KcwKPwQrI/K5gLiEfXee5Xn2Wyt8vLL3+PD+68yYvfe4n33n2fcxurrK+tMx6tMkr6lE5gvGA6O6I0gv7KElYo7u3tMEgUaRKs3o2zRDpCRxFF1d/rx+1q7yzqMXl8DH/aCLH3K4K9Nm+q5hRrLYNBSMxdmZkHr4koatg47+v+WYur9Z2JiqwPofe8Dddp8po8RAA5s54VmoTZlXAcEpuLyop+MWfVYXNqkUEphVRgnWm8QcKc5irvCl8JKbqqu100iQwN42079v4CzQbzFNGjuoPqs/rIk3N27WEDcRxEnUAKl62wXLZpCyllVc8oJGK2BCFUBQHg/vZuEAG8Yzwec3H9XJNgPSvCdaLKUyQ8NImsw/fhgxBQicAChcdX1vrBc6Ouh1+404EQZEXePKOTODoMXjxSqEqcliRpwmAwYOvcuSYxtTGByK9zPTtR5VZxQYAuspz5fE6eZRwdHrK7c4/bH7xXiUuVuONDHWriXCnFfD7n4OCAzc1NLl25zN7eHq+/nrO3t0ee5/R6vUpgCXmoJCLkAXOOKI7o9XrEcUIcRwgExlliHSG1YjaZcmd7mzhJWdtY5/rjG/R6vspnpao8KyH/iPaCVES0DRCEq0Rd6UH5JlF3EEsk1gbvPykdXhi8CWKNwmFM6EtJDDoKHh2Fqd4vXjbvVuctRV5QFDZ41TkBmKajqsijI/A+oyiC9wXIKvRUHR7Kk2WGfJ5hTImt+mlR5EipKjHCYEzZ5CICSKIYXeXsOTw8ZD6fkeVzhAheF3EcRHxrLVmWk2UZ1hq8gzRJGQz6TQi2OI6Jk4ReEtFPV9jcWCWKYvr9AcPhiF6/x2AoUdFCzJDSE0UQRVAUi7nWGFEJdVU4N7vI4eI9ZDlMZyeMSUQ7h0wYy+28PvXYaI/Vdv6keshLKZFCVIvb9josHBA8dlh4ZDTzSSVuVHPJSb7pJHdVzziBn1yQoY01a5XjRbTLquepkwrIiV9DuWLBC7ePF4s8Lh06/NSo+6Q/+VmFn5Z4PaY4fhxxoPnf4vzTt2afPZrB/0nilOfzSKedUpFPgER/YI35EdecPz2aVeHH+vpnhdBtH942zfq7mehPPYp2AG9//CtqQ6OfJ5xsps/JI+/QoUOHDl9wfKGFkX/xz/85V69c5sqVK6ytrzAul3E+WEcKqRFCNoSCVFC/TqUIIT0q6oR6814vYurkrk2ekQ/BaZblJ8WR6siKKD1O4Anh8NTJZUEIhXCuyk/gUZX4IbzEaU+kYkwkyOYh9EsURxhbImUc4rZbz+Rowsr6Bt5ZtNJEWqNCLBB6aY8oioO3w3ApCBDOU5aG+TwPVu1aE0eaeTZjMOiRJApjZsyzI6xxLC316Q9iBoOEsshQSlOWBVLqiiiNKMsDPJ6yMmUuq1AaNalfJ60PbVeTyeH5hRjaLSK0IUtcxbAcD2F21nPxzjXmm8J78KpasMrQJ7wOz1la4jQijqLgcRDFJGnKbJKhdMRoPCbphZBHcZIgVYQneCTNZiG3yuraKlsXtlhafpfv/9lLqChmdeMcvcGAJFVEsebg6JCXX3mZH/7ox4yHQ37pW88z7sfceOxxUglvv/Muf/LdF1lZW+Hcxjrf/NbzjAYJS8t9kiTGCocRHlyJKaqk8UkPXzp8KTBZQXZzj2SYspr0+Yu//HV+9Wsv8P5ezr/6vRf59g/e4fbOnCUd89TT38A4z917NynyXZQ/pLSC3mCN8eplhv01ctNjbjR5qempCARkZY7UAnQQP6SQYTQ5j/IWjUJ6H8JHueAV4ITk1s6UWA947pf+Cs/m32Ln3vts33mPe3e3KY7uMR1PsA5W1zdJhssMein9qE9Ojrewtt7HTWfkswN0FCO1pphPcUI2IdTqxODO22oM14LYSXvcnwFkPbeE3lqTWcZa4ighz/OGkFRRRBynOKWQSoXcLlT9tyJ668S9VEl+ESG5ebCCt0ihgpBS32tNsIcWeEhFfXWNmoxTVdiZOgdIyKMBNInEoygIB2VZBm8RXZPRVYJhH8oKRD2Upqy8MXxznbpWdWLkIMqEf7WnR7uGD9b5rM+Oz8P1prImT2uPi+N5TUQjlASPmAwlE7w37O/vM5vNUErR7/cZj8ck/R7e+4q8LpoyrbV4qQisaM2kVgnJq7lqoeVWopMCUEGkrcRlX2+G674j1YIfqZ6rFBIhxUJgc2CdpbQGYQVWWWZVovMm/4EN7zWPR6o6t0gg6KXSjJeWidY06jJBoBcWj6UoHPN5yI/jq1wtadrDOYuxhiiOcdYxz+chF461bF3YwpaGrCjwLoQms8aQ5RlFPsN5Q1TElEWB0hHGGHbu73BweMD62ipSaaoIY8yzjHv3tzk8PCTL8ibPymDQA2A2mzfeDVorkiStcvOIJkdLUYV/qj0GhsNhlf9FM5/NODo6wpkgUKZxEp5ly+MkyzKKMgg9SZLQ7/WJIk1RlhwdHTGbHeGcIa7EniQJZbjK8/Hg4ADnXdV2KVGUNOPfljllmZMXOVopBsMhvV6fOI7I85yiyMnyechxFMWMxgN6aY80TkjSGK001jqiJEJrGfJFeUcUxcRxUrVj8C5TEpQKaxBZ99EqBJXznkjThNuyLoTQqj03DifHc/uEpOVhTNf5cOqQblKGtq9D1J1mMFKLVLWS0M7nJCox1HtfhSwVx6axWkAJY0BVI78Swb2nDqvVnirqqVEuIiOGcVEL0sJXI/fEHFKTsy3yqs3XnrVMbNO5TZ6p5jZaBZ0gpcXxPzt0+MRQD4kzTBA+PXwil/icU6AfNlY/VvVPOaFRZT9ieZ9G830qYtBPgY8sID3qOZ9y3zutDWuroFME+WOCWfOi+RyPjQ4dOnTo0OFzji+0MNJLUm69d5PXXn0N5y0b68sMewlP3LiKUhFx3MfZEk8IPyWErEgy2ZCUC2KuIs8qIqRlUhjWJf74pv40S+uTiVVrIqAdSquxFvR1UvIqnFaTXJVAkNUm5g1p6YFg2Sxk8HDwvgR8ldg3kFVeQL83IM9LtFJMZ1kQi4yl8CHBcpwmDAcjsixriMFgsSzIsjnGlCAsg/4Q5zxxlCJFnUMArCtBQJyoUJdINcmFe/2UyWQSwpapRR4C7ytSzQYr8zhWLWvw0BKuiTVfe9AsyNaFgOIqsjikIllgQXz7Y5+Fn/XzE84FtkepwI5EGjTIyAXRwRtErCFSqDTGTnOQCpWkCF2GZKtKo6IYhCZOEiazjDiOySchbM3aygreeY6mE3YP9ugN4MbaJfrjIUrrQKr1I958/XXOrY84tzrkuadvsD4ace/uXaKkx95kyt4s509e/AlHh3tcurTFxa0NLl++wCjVjNIhMgJMgS1slaRVIZUm9o7Ia4rDDDXJkFqysX6BZ577Kvf840zzJfY+uM3N+3fJzIREjRkMIoTPEGbO0c5tDu6/zGi0hU42iPtb9PrncPGIHDgsSoz1OB1REKy8lfMh/Bge6QBr0FIitKJwNgh8sWJmSooDh/aa8crjrG88Tjk7pJjucfD/Z+8/myzJ8vRO7HeUiytCZ6TOLNnVcgSGwA4AGmYBEnyx3N33+4Y0Iz8APwM/C81oxiXN1rDkUgCYAQFwMIMeDNA9NS2qS4vUkaGucvej+OIc93sjK7NUq6pG/MuyIuJed79+zzl+/Pjz/P/Pc/qAR48/4oN7H3FwdZ+9K1fQ9RRVjKjLCdFLdKVxStL5NsuyCZQyEBP5kszC1cY1KjIs/elM+8+LL1t9sRkhA2wIgZBx7VcQI4UxWGtpmhbXm3pHiCGupYCUwhFxMUn/SEI2ZE+VCD3ZopRKZGIETzJhHq4CsX5OejFwFy9cNetrTuGDy/NkxHnb75DnuzBkbDvncD5keZqwfk9kHxEE2phUreEdEobKhk26Kn1uuPBsJ3tAPz6TZf3MA+paygYu6jevv1f/BZRK5tpdZxmNzEDUJP+XFmtdrhZZECMURcHh4SFFUaQjxkjTtkMFTN9mPbHi+8q53u9k40zkhldNyGjs4PfSj9f+XMW6Z5KkIIP3i8z3lhBCNjAXg9STUjL3bESXSSLJR1BaE1WW7iLxxTGTLkqn779qO+aLJc4liaTgkgSVEDIB/mVNWSXpLeuSfFpRloQIUmkmkylCZvkyAoT+DparIKUmnZ6l6xYsFiuWy8hq2WGdZX9/l63tPba2xnSdpywTIdS5SNs5rO0yCC9zFUKSx5QDuJ7uEQx3ekEIvdyTA8JQqQHJZyZVH+whkMMaQQiF1qmK01pH19k0rlXM98yYK6kkSuk83vO9S6RPTr4idu0bQvYBMQopRZZRy1WjwVNVMkt+pbUKCLRRQxWGGGSnBENBUkzSkt5HrAuYIlUnhRjRSmB9pLW5Qiv7pxCTl1ki6ZL/hRRyTUSEVHEnSZWbEpH7lOFa6cnXvo1A5GpQlStGkmdLqhKKw/muzcfT9RpCHLySnvV6CiHJJPa40OZl0c8HopcsYwMTilk5M8+RF8mYT88eA/Yke4+POBysX3/04ijiBaUaw2k/g1Pld1EXLun1u3H489PHHb7vs+f67FR4GZfxZWLjGvjGjaP+xvWNO3FYVwXEXwGZscGM5HXlFz7YcLzfMRD9t/11hpvLFz+R5ydQXtgij/W4HvfxOfexCxDDb7shLuMyLuMyLuMyvpnxjSZG/uQf/QlEePzkMQ8e3Of+/Y9ZnJ1z5+YNggepipxBHpEZdI8ZpJd99h/QPwdHyLrnPQi/luDZfGB/liB53sJmXUUCm4Zq/Ype9CAnPdgQcv5mIAaPJOmQJ2mZBGYIkllsIGZfgQgioLTAeZezIQV1WdOsGgpTsKRlVI2oqgrbWWK0dJ2lLGvaNhmpp8znFlUomm6JUKkNqnrEqulAGoQscV6iTUVnkwlzPRohlcBohdE6Ha+uBlNgbZLPRMiklHUp9VRuGA33TdJL6Ih4sWy476DNTNIQkiRa2DjGAPpsxAC0SNGj0pB1yMXQ8AnkKkcVUYCNHiFyBrbRBGXRpiA6mwgSU6KKgigVq6ZlMpkSA3iXpGG0NBRao6ViPB1TjiuWdgVaUtZ1BlU76lKjlWZcVdSF5urhPr//vW/z9ME9Xn35Ok/PTokonp6cY+cFj+6d8qO/+jllUXD3zg2+9+3X2Nmfcv3KNoX0VIXBW4ttFjhmKCqqoobo8SLQditmnaPVW4jqJte2brDXLZgtTzl/8jGPn95ndf8JRlmu7Y+ZTguUn9OcnvL4/k8JYsy1O9+CcovbV2+xsrDw6V8IMPicoxKYJQNOkohJEQm+I8aA0QItABdonKdxEakKioObXLlyyPTWS8zOHjM7PeL9dz5hfnbM7etX+c4b3yKKAidHTLemdE7jgmC2aumsR+oCITXeCaSQKKly5UICQWMvFP8V4rP8R14cidyLJDOAKGLyRAmB0WhE0zQIJDGk6g8hE+rpfRxI1gzR5kqDdDzZkyj586UQCKlxIdUYPDsffRlyZwDoMxEpYCA3re1JWE3/kNafZ1EUuOhSdriMg/SN9y6D1nLwDxFovOvojZARa9k7WAOnIcs79eeVgPYLZ9v3xNAfa+5jTTREcoVgNnBXSqcqO1PhvWO5XBFjyD4pSbrP6JK6NmhdDv4jwXs626YekYlcidEPPgZC5L7uH2I3GJ/Y4xeib9uNbRLrPnyTAe4Ybk/p/2uz+nChT5MPDHlsRUJMlSRyk5TJBFR2akrErpJIFfAx4izMlyvatk0VFzJVLSlTUFUGYzRam2Q2nvslhkTGhhCxPhuXZ2JISEGMgc5ZtNKUlUICq1XHannKfDZntVrhXALOJ5MxW9sjRqMpSiuCh+UySWA2TUxkmla57wzgIUaMTpU5vQn8ZiKCyORRuiXGnFiQf79ARvXymslPpK9KCEEO+5RVCcisgNYnKPT79zkU/bXpM8Hmh+qnotCITBIKBM5m2TgEvfmEt4EOSdva4d4ZY/IZ6cH4tYfSeqRImXxsQgi44PBxfa9rOwEye6MAPpOvxHRMKSRKCDx9NVUv7UWeQ1NFUr8+CoN84/r66r9HP159XxHVG9yTxocQec2zcV0KKS7MOWGops3zgBSoPD/0lR7D+mmTXNjAGYUQmRBhOFbvwfSpqTDms3+GeCEmecjN468v23jxPC5OQ8NlL0V/B2Az5eXCrNVf66G/1jcJjxdM27+rmOZl/CZjExz/BsavgxT5TbXHQOx8CXIkvuDkvgIQ/6nz+FV86d84SfXsOcfnvPYbjs2+6BMrv/Cu+Z7+vF027klpzLyAFOy7crixfFMv7su4jMu4jMu4jN9efKOJkelkzGhUsX+wy0sv3eVv35zwyUfv430Aua4KkVJlIiQSRUh69jkDV8SID4HgfQK3RPYcIWf99v+9gBjZfO155usxxOHBfgAV4ibQ34Mq6bMJ/YM/CMKQ/Snygkhk4E2LJE+Rsl/VhXMqCsOy6YbXq7JE6wLbBUxRUGjDZDrm9Ow+PgSM0TnLOGBdhzKa4BxKK5bzFUoblC5omo4QBdoUOO8ZjcZopVFKY4xhNlsOf0slCW3KZO9syja3XYezlro2RNcN33P9fcVAIonIkLm5aaoqhETEwKYXwdCuYm16t0mkEGKSjJH0zFdGKyIppTkipUIbg8iZ+kpJdFlg45xpVbI8OScKn8CljLRYbynLksViSQhQVnXOkk0SKUhBNa6RqkvyLHWFKYsEKHqHzDJpMjpcO6MuAreuTrl5bcS83eP86TnLK9s82dvnvQ8fEA+u8vT4lHv3n3JyNse5Jd///htsbVfcvnmNa1d2KMoxygWCs3SuSf1YjQhCo8yYLkYsmsa3RF1S7t3g1u4NZNdiF2ccP/6I+5+8TfvxY0al58rBmN2dMVIFYvMhH7z1mL0rd/Gx4uarP2BvekgXBKvGsmodIUqE1MnIWABInO8wWiOEx9oOhEcpjY8QpMJLydI7QgRT7TMd7bJ/9RXi6pz5k49pz57w1n/4a06WK66+8gZbewdEYGt7l4PpiGXnaWxH5yzWS6Qus0l2z3hefJiIfPpR6uI43HhT9KTEF3/6Cz2EL/MQu5BOnK43Z1ukliitCSFljzvn0EqihaARmaDtM9hJJJOQCfhGiIHkBTYAzPgMyNl/o/479E9O+Vzz/qonXMlA5DPZ0clkPWXdh5CqdKRUCSj3HqkE0hhicBu+I2o4px6ol0oiRZFNm/1GtnoPNOaZQMRBlkdrnQDgjZTw3rMj9c9GT4pnPJ7y86aUKlXUhcj5+TlnZ+c411GVI0yhqeua6bTKQLNAyJDnnbAx/8Q8Bw+sRZ43+4/qJX8kg09IP6iGIfVsZWF+L/a+TPHCtv3umyRRv31P/Pr+dylRG9skILsH+tO5G6MBQdu2zE7O09wckxRRaSqKUZITTIbxAREEEY/3kdCrg0kBUWVj+QyKhx4TSORTUQrGUtGs4PHRU06eHhOzhFxdVVy9fpiq1GSJd5IYHQGFbZPUlAtd8nVKiDohpPugkiKTDOv7J0Li+1tvf5/Mrdf3Tjq/XGnY75fnhh6gj9lbByGSafbQbzERQRlBl6L30InDZwhi8sWKGRSJARkF9FJ3kXTeMV0vkCp4+kolkCihUpVVT00KkX1n+msyk4h5goox3coQEqEEUkRCvocqlTXI8iqit7bpLwgZ0zUfRdovZu2sfrrKt83k79UTKTqRMH27C8lwDbJxfoOclZCZFOyZh41BH5+9TzPcwy+M/DxdbVaDbBIcm1Uk8AweJC5uOxxg830ubg9iXXAm+vm79z/KHkhRPnMO62NK1kkwKn+azEQQQgy4mVg3w0af5uMNAFffmnG9NkKkirtL4Osyfsn4jePZ34TYZC6/6La/9vg1Xet5vvs6g+ifSRrABmH9y37Sr7gNviRpNaxnX7zBxaX7xtIyDmv89Zr3d55Bf/Y7X8ZlXMZlXMZl/AriG02MhNCkhP8QKEqZdaYFPjqkiunbBZE162XOUtTp8V3mp88YED6lu4foUT0lEXvwKWZJFEGq4AiDREqKSPBkUL7PUk8PslKAp/fR2AQnBUiVPC+IGYRKiyOVvTdiltDp1zYCnapIYkJbpUxmx0iJEBrvLVJLAgJVaPxiiVIS55aYYoL1gCyIRHz0FLVm0SxzO0acDSgUi/MlzaoBaVEmZyOHjkJLvG2RMWTwLUloTSYjmmWb5VR641WPkhJtDEppms4ShaTtHGezGdOtK4SuTVmZISZ5qox49GIWopeVSehJXx6S2rYHtEgglRjMjLmwYFx3Ue5H4VP7OVJfaACXXYglWmiCUGhVEKNgVBu8XeUzUigKotcYZdBGIKRDqEjbWTqXsuuVlggfiUqAFEymWzTLE6QwFLpES4mzFqETGdW2DX5c4V2HjC3Oz4nesa0M4/0JPkpefvkGb7xxnXff/ZCjkx2aztO4wGyheOeDjzg/n+Gd5+XbL/Htb73C9WtTDg93qLaTpn/nDM6VFF6g2hXKGHzssF7gY0EnFFKUFNtTDqdXeO0Hf5fZ6VPuf/wOH997h7c+fszhlTFXDwRvvHoXHRX3PvqY+28+5Wi+5MadV3j1je9RHe5x3gSenMxpnMRFjSlqtKzxURKspygm2K4laogyYkMgep/GgBTY6LP0j0CVY7buvEEhXmd28hT74CP+5uc/pVudc2Vvyrdff5lrV6+zV28R6zEdI05XkXnTMZsvKUvDeFThXUCKIsl/xQhSEGSSniKPZRlBxCQHpqWEEPHOEaUkSbv1Eki9Qbi4MNAiqSqkz2QWMvmDKFQGGT3BdVSFwHiZwOYIHsG8aWlsh/OOsYyURvJ00YAuk9yb64AOHyMEMZgLS5kIQhcTeClFnufUBhAckvRPJBJ8zMRKguxSW/TkAjmBMA6JhAM+2JOOyqCEIoaAdx4pAkZpohTJxJuIkgnc9T55UyR/i/X7CJGJaoV3Dtsl6bCiMOk8gyfGMBigN02TKgukSdVkQlCUBd56WtslYjhXlERSxrr3fvBF0doQrMN1jqMnJ8xmM6QSbG3tMJlcwZiStm0GIsP1Pk8hVaapTFb4/LvI0l59u2xKJjLM1evnYbE5RiKoZ+S1LsxXmcjo5X9S9QcoKRIBFXsStyeCe4B/LTvYE05aa6qyyM/ngug9i9WSs+MFXWchRqqq5mB7h7IqEvmTvZ18CITg03VBlmrL4L5SKt3/YrqPROfRSjGqynSviNCuLPcfHfHo0QOWrWVrZ5urh1eZbo2QSpFM5yXWO7ztK/iyJJnS2AhRG1zfPr1ni0hTtRAMqPOFx2IxXH0DQB/61hVr74kgMsi8QaYL0ufkSyyD/on08M4l4gpNiMmIPSJAOESIIDRaSqyHIBRKRKJvEAIqI7C2pagn+JDua2np4cEHghREknm6j4qARxWJQJFKEaLAB4eQKvt/KMjSYBDROvmHtNYlAD8mY/gkhJWBeAlKk6rWYpLY0iGm+xQSFPjEchFIlVmyv2cSkShkiAgRiH0Ch4wE4UFY0rrIDBVuMq95Qkzrpj6ZY2jnjTnzgvn5JvAz9GL/ci+IuK6X6UnKHh6JmfyTG5Ij6+t0TcL0+1/EmMQaV9o4h4hHiJDu9QhC0MPaJO2W12jSpwqlKIlBpIrlnowSDKvA9Xouv6/WpvQqHS5Nyfl0QhJURAqBEgUqKPABkZNNLuMyvhnxGeD21yW+SgXGp5nXX318Efz3S1YpfOnj/6rjS7T14C0V2Zj9X7Dfc8mAeOHH58YLz+kLHGBzPHzJ6pHPrUy/UJXCkMUg8mvxAtO/iTdsnM/vRGw8ez1b9fQ78x0v4zIu4zIu47cR32hiRMqAkh4nPTJotE5eF3hPiA7dZ1H3eaNS4l3W/M464fiIQKJVykqNPmxk5/YP3oIg+oXH2kCTmO/DIm4kdKxBmTgs5J4xcd/IOO5v8oNCQ47Nv6UQyJggB4nER4BAr2deVRXzeUfTrFAiVYc0XZeqHopE5tR1zcy3COVAeUwp8v6BiMO5VP3QtQ7XWbxoECLSdUtE9EzGFVIkoM6F1L4Jr0rm70Vp6KtskmlzyrBNZFX6/i4EWmuTaTdJXz1DJxsgRUwJmlnvO2YgKdIbqSbwMISM5IpNOY6Lx7rAlBDSv+DBkSGzgBAO4UGpCiU0znqCTFn9ZTawjcERHDgZCV5ms2OPcy1kwNm7gFQSHz1CqaTnD+hcEUCUKKkzF+eT4bZSdNYBkrZpiL5F4hIp5jxGKYyMeD9nfyo5+OPv0raOh4+f8ujojPN5x7xxfPzJQz744B4/e+tD/uzP/oLf+73vcOv2HrfubnH3lbtsbe0zrrbYqh2FXNB0SwoZUEqxsuCUAmmwMRkpL84d5egKt79/jdd+/x9ydvKIo/vv8Tc//Q/QfMhLNw65trfD7t6UrfPIg0/e5IcP3sJR8tIb3+Pm3W9jKehCwfF5w3LpQRaMRlusmgaUonEtutBonf4559BS4VyXgdOIEwIXBUsBav8OL129w8s/+EM+/MWPefDBz3nnrbd5cu8Ttrd32d67QkPN3vVXGO9NaDrFYrHk7OgEJQ3VaBujK1AKH8HFmAuHEpkgpSR6j3MOHy26J+kSYrq+GMOzDy9x+JnAtv7qh5gJld5JQwqBkRLftnSxJcSA85HOOhbNMsk4KTAqSeU5kSSJtAQtRCIggBgk3rnkAyBThVbMxuaImKvPeg1/j/dJxir5EkGM2atIbJxx/8w1/HxG0K4HkHujAQkik0fkzPa+4iHJE/WG4+tKuvR+ImKVkGuZqhBy1rzPqndiAPfH4xGLxZzz8yU7OzuEEJidnVFVFaO6orN2OIaPSYJolI3R5/M5i/lTXGtRUlJVFXdfusN4XGOtZz6fI0QiV6x12Nahjc7yiyG1a364TRJiubf7ttio3rhQocbFuXxzduu3kRv79h5MqSonDNUgSggEqZrR++Qh1UtDJi+aTFSEiHMWKSWjUU1ZSprWcXZ6inOOtm0HP6npdMruzg5lWaKVYLVsaRYriqJIvjbODR5OiHTf01pjzJog8t7hI1RFwWQC0keOjpY8PXrC06MjnPNs72xx9+7LHF7fpigFs1lgufLZc8QD6f4glUKrdOzgU81S38brQq81jN3z5GL90ka7Ph+66KHzHjhId3xBfOa4A8Aes1+NSGRCwjaSxwYiVej0tIvIRH2IELwAnfw0BMlLpyxHiKBxLpEKONA9uSMCXsjs4RKJMa9bhM6SZSKbpJNkpUIW5xOJpMiXe3o/OqQMCKHwIXmQJGA+JvCdNBekJUwmZn2SzJIqkaqprXI7AUqAyASSYH3OPYeQ2iuzVL0UJjERRoCMBZtVU5ukyCZRsnm/3uRGNgpI8h49wJUJjtBXYvTX3Xre6X1R0nwXWQ/pNagyfFZcH7//jJ5wTVUviaSMGzKcUmQ5U9mfo8IFh4wCLUQiCXswWASMlnjiUFnVf2zwyTcmBiDk1hfp9RBSVZGPHhdsWkcIgZICrb7RS/fL+K3Gbxg8/CaClRdv2S+Or/TVfsUERg++f2VypCcevu799Dnn15Mim5ttlhp+oY/4EgTe57X3Bnnx/M/6/PN6/kfkA2+OB7FZc9Lf4+TFm80wpr/u/fwF41P81+/I97qMy7iMy7iM31p8o5+ulFJ0bUvbOaSoKXSBCNB1HbZtExCtNKI0CRO3DjUeJcNqlzLukhRVagYRwfXANKwla+jvucmgvI8E+EUGSL5fXGagbJ2vkf+/sUB61nTt0/JcMgP/jkFOJ2c+SkmWenF07QqhBR4PQqKUoarGNE2HEBKjDda2VFXJ+dmcVFTjqUqJFB5Ci9ERb1uIE7xzGKORGJSqedh2dF2Hc47VoqVtW2L0KK3Ymm5R1RULvaAsy5xlnMgQ51wyBNY6kQ9C4l1gteqIMRnnaqUGIGoz+zr9y7mhKRV+QMT6bWO/gO1BybyCjEMG6rNgJMnrIQNa0WdzWVwaG6ElBossyrR9iAk8lFDXNaORJRIoy5LpZEpVFHRtInaCc1hrqUYGGyxKG7QxeO9RKmXPQ0Crtfa/kMn3YLVq0HqPrutAKFRRQanSuVqbFd8SAO3Pz9FlxZ0b17hz5y7zRcuTp2dc2dniWy/d5nS+4pVX71KYKf/yn/85Va146ZWPuHbjOq+//vs07HH1asnTtqVbrRChZFTXtEJgBbSdRZc6A5SR+XKFFgZT3eDaK3d49bv/C86ffMQvfv5XPLz3CcUnD7ixP+Xu3bsUVcX7H3zC/V+8yYdv/YTJ9h6m3mbv6i3u3n2FJyczzhbnGGWIyiAKhbUNIgh8A1oYZPAUAZRWRClAKxzQuI6lCMy8RrLLne/+U15/4x9y/NE7nD3+mLZZcv+TRzw6fkz7ox/y8uvf5c6d17m5tY2ebHO+WLKyDbZriEiEKtC6wEgDKpmC98CXkgatJIJkap1IA/UM2cYzi/ABzs1wa0xG6EJCTFVKgoiSIGXEuY5Cery3BG8heFzXUlcFx8dHnJ2eEkKJNIk2lDEQg0VIhRIpEzzE5HuB8EjUIKU14H75l015pmfjwhz0gme3Tz185OMqmZ7KbExzYC/hFDIhPFRS0Btky0wQ9dc7A+EQY8AHl6SfsixfMqdfUhQF4/GYsixp2hVaa6ZbE5z3rJpV8mfJxymkpOs6Hp08pmkbjDFUZcnOZCtJqwmBdZazs1kiHrJvh5RyqFbZbJvePHtz2377F7Xn87L+NmXC+vbuCZD+daUUbdsOv29Gb3IPDPJivXl9CIGiKJhMSrz3nJyccXR0lOajqkIpxWQy4dq1a5SlxvtkOt80DTFEZCbWhRCJFMkEzeZ36ckVpRRlVSCVIIrAYrbkF7/4iLOnx1RVycHeAd/+znfY2RlRloJVC6cnqyStZjRKG0SWdxz++YDLxN2aVHrRYOwb9MXDNUW88H6qeuhhg036/ALqPhxbQib3IlIEIsnzK6mSxVwdGBEhJOMO2ROgpPuaFKiiwrVLpLSooiCIVPTovMPoJIfkY8jSWR4ZPcIHcC0QEjklPVGQvKuMSpUakSRvlQZOOu0QkTIRyiLk+2AEHwK6BKUbBAERDFKYRO5IgxWJiCwz7ytiQCDXWRlCrP0vAIRC45A0EDUxKgJlTljIvSYDQvg1SSwiUbhciaLWfSsyWSWekZaD4R7e99ZmTwqxrjLp/ZfWu6frJvZVQf0B2bAZ2xwl+Xv2L0uRllyRgI8S7wUipgo3perE//j+vCJR+ExOaaIAKXXOu8jrghiTjFaMtO0qk2sKJRMhTIzI4Am2oTAlUhd4AlFAXUlKlfZXwuRKrUAIDV2IeJbPH/qXcRmX8cvFkJkPn+kF0r//ZeNL7/IiRuQ52/xSlSO/xL5fu9jsty9BinxWDETHxiE/s/Ll89YxffbFZ33uxWrH9WHFxfGXCZh1MleEuCnP9eyJ9y//rvT3ZVzGZVzGZVzGLx/faGLk8aOH3L51yKiu8Z2kNDobl+dH1+BxTYvUHmUqVFUSugapJMqkaoDgk3SP7KHNpF2SQXResPBZg+5p335dchGUj3FNmFzU0M9HEfJTi561JwB53wwmyPxTpIxsKVQyABZJ/iuGiNEFRElZ1nSto7PJSDwEKMtiAHti8FRFRfQebz3jqs7ACNmgPUniVPUoG0ML6rqmWZ4hEVifDey1QGRg1BQKnz0QjNGE6FIFhrNIGYYmXMwXaQGXZWl6gmPdVmIN+MQkH9MDGEMVjs/oBNmIPSZjdCH7XtxAO/rs0kxYIWLKnI0JcBLCJcCiqjBSDMtG27YUWuW2TrJh1nqIHqUTSJlIogRytm3LnhlhmxVKKYxWyVvDKGLoAcdkZNy1XQJFpCR4T1FU2C4QhQahCNaSnX4hpooGrQVGSFxwtCuHoGFUVrx6+yo3DnaZzZeczBfYIPnkg6f8N//V/4rZ+Tm2a3nvp7/gpz/6OePDu8wmt1G7N9mdjvBBsOrOWa1aVGWopEDLGuvANo5qNEpSLmhmXWBx5pnu3OCP//F/i22PefLwfR5/8gEf//wxB7tTCj3i1rVdlrMzVsunPLn/Hn72kMXj99i/fpub0y1koThZzeliQaEU2pS0K4cxEtcJdKlJUjARbwNBBEqtKURM405I5kvL0sPWrW9x5fYrtPNjunbGjdDSNEvOz8549ydvUpiKna09xts7bI0ndAGs80RaRO43by1SaZAaoYtkYOxcGm9iSAemF8karteLuFv6PcvPXEhD7sdgngNEBGst5bTAWptIsxhRQlAUGkSNKQqMM3QxGZgrlf0nyJnPUiQyJD8beZ9lXJ55DutNy/uqhE2QXwgxSEJd2OdTD3NrIH9z7goh+WkYaQgxGZf7kKSzhrkuA/eJdErOKzJ/fu/3QCZBJevzbNsGrQ11XWdTdJ88DjLx0ftpJO+RRMIul8sE9sdIWVVMt66gtUl9lg0ovPeD10ZPNvQEhTEGhaazFmstWifz6832Ay4A+MO8wqdJ73V7cgGRjSHk77yWAOrPpSzLCxUk/bH63ZXqK36S10aIAdt1nJ6eslol8/SqKrly5QqTySSTO4IQBNZaZrPl8B2SB4wY+rYnfFJlzKZfVuovpVJVzdnZjLZrOZvNcF3D7u4eb7z+OnWh8R6886xWnsUyJReUZUFVl/gQ8RsZ96Jn+Pvf4/oR/tk22xyHF9uVF2yT+6qvKMzviWHMQW9kevFj4vq4MSCizx4bidgW0ZCISoeKJGm6DILLmEhPHyIRj1KSzjuaVcAIg9IqkSreEqVKXmf5esE7ZGjRsUB5S4gu+XrogLcBhE6nG33u/5CvbZULOHwiKgNEn9Y+QvhEukaBiBYlEiAfosR2HmUkQa39VtKUFRAkorVvRUFvDt4DNBKVSRGxkThykTleV230gMywvnrmvvwskRiHvXsi8Zk+zxvFobs3alw2D5UTKMjXj8oVdL3c1jAqNtiX9F5a10gRQbrk7RYFweUKppjlCGVA5LWYz8WoqCQ7J6TM3mEBREQpGJvReoxFTwyWGBwyenRwNO2SlQ04Ao2LLGaOxXnL7GmL6yyr1Tnz5YxFM2fRNixWcy7jMr5a9DPi50K3l/F58ZvClYep9AVA/ACW/5In9DUmR+JzfvvsjX/V30MM64Y1x/AFyJSv8uYzfbBWRdggfFIWwXMO1Z/jWtr3Qr9eSMrsv8hnEIBf6/hGnvRlXMZlXMZlfE3jG02M/Ns/+zMmWwVb27scHt6mXfkMQgea1YLoU1Z+bSogELsV0pic9pfBfSWJ2dg3BhIAh0zARZbISPDN2oCzz/yNMSSwAnHhIV6ICyklz/nXg5brbI61wfNFaDKiMnKRF0Yi4oNDqYKyNDiRjIWDF8So8B6KssZ7WDVt9kORFEWFiInCiUEyHm0hY0HXREo1xrowAI+r5YqyVhQxyfQQYFSPOA2nFNoQkigEQiSjdyFiIl7IbSpFIh/QG0BfkpWazeZE6/EhQRpr8GINQMeQZOXTck1mSaI+3zeBrClTPMmPxCAG0PkiYp3bNcbU/730CcmbIUl/kTQrbJO1/B1VMaF1gVFVJekSbxMYlY2mlVKYosD7xUDWNE2TgFqRPCqKoqBpPVVV5m0CxhRZWisBdEVh8D71e9vawUBY6J4MAyHWBtepeEZSFom4k9GC9ehomRSO3ZvbCFPx2s0rdJ3n4w8/AR959fY2y8bzZBH5m6PHnDcLllqAqBlv3eRwVCELCXHM6emCSm4RVIHrPEgIJP8aqWFpA60NKFEwvvoDXr31d/Dtgqf3P2D2+EMeHK2QtqPSklduXkUrePLwbU4fvIcNkSvXbzPeu87e7i3QI9rg0COBDYFWRVpByiyPSUJNI1DBIkKgJBCFx8ZA0IITHxBSUEwOkdUerBaYuODGtesoZVk2Zzx++oCff/i3TEa7XDm8ztbWDkoVaBUQ0uCiRMgCFzqsT5VZUioQyTw+0FcRrEmzZwrWN2ITMGcwL4/0RuqJUGialvJgG287JGk8SiK+szhp6ZoGYaosNUWu7Ap5fkmfrqREyjR0E+icfH2e9bx4HmA/kBwDWZv/F5/znS48RG3MS2K9n4gyyQmFNaCulMpSNOvPIYSU9a7W82NPNG2SOM524OIwf0Ae92VJWVU0TUPIpFIiShLQv729TVmWSJk8G1xI7SWFGM5LazV8J2vtp4gOMbzXEXyqnugJlM33Pyvk0KgX272vbBMwVIAMxwqBsHFsJQVKBkAO7RqCp+ssq9UK73oJMU9ZVly5coXRqEZKgXNhkNrqunXbpuqcjWqN3A19dUw/4yolCSHJylkbBtJFiOQFU9clu/t71JUkeInrPMvGZo+FdTuEEHBdrgZRcpAPG9plGEx9H38xmE4MxOPmffZ5fROzX8PGdbn5yRcwg0woDAblMRMFmSwQCiUCZNIW78Cn8SO9I/qILgukt8RgQWd/mhAItkWjiUFAsPkun48dHdE2qBgopKfD43xAK4UUadxJpQYD75jni0SWK4IFQl4DJJY+t2OgVNkxxEUQaU4LPuI6i1AaEdN9VPbtIElgflC5aWMmTZLEGVEggoKYqmOSDGFIfiPD2iX5jaSeEYio0rpDrDGc5080m5H7NsbsW/LMu2lCTQTnwOr0nRvX81r/Wsyrt0zKDdvFPKtvkGcEgXAQRYuQFimK5MkkNEiQ0iOkR8qIEBpimfd0+LjCWofvHAubqpat6wjeM5+nikTbBlbLFcvFDGuXRO+wTUfXeToXCSqijMQYhRIwradURcnhtYqXt25RTScU9RRrO/6P/5f/w2c14mVcxmX8MnHx9vJbDjHMyenPry+B8WuLX+d3js/8fPFJPIeh/yXj06WMn/HpifC4wGs8Z6s1OfLi41wwex+WU9+AMXXJ5l7GZVzGZVzGrym+0cTIP/mn/4TF4piPPviIt376JvNZx9ZkQtcucXaFQLKYz1kulihTosoKZTRVVWGyfEh0LmV9KkUMSU5FigxbxPQwy0BapOiLD+hBVBhAy2GbbBPagz3PAyif91MIMWQ1Du8JQdwEfZIjOVpKZvMVSu5ASOSIlIp6XBKko7UN2kSCdyidfAeICZwdjSZIYWhbj5YFXbcEkrZ/13ZMt7chRrRSNKuGwhTYrD8vhciAuaceVSglqaoigbveJsKClFFeGJO8G7xHacPp6TnNfMlivqTMev79PyE3AN2YM8lFdgMJgRDDZi+kjNW0NckgOAE5Usqc6blJjGTJLZl8VQYCKsuSxOipCsnb733E1TuayfZ+AsGchejTechUbaKkpK6qTKYlwHS1Wg19rZSiqgoWyznleAwkMktrhdIqVcGQRODbzuJDxNqA9SlzHdcQ81cL3qGkxpRVkoKLEWEKhLPpO+HQwiN1xLsFEouwkWlZ893XrrJarrh9a5euK/j4ieOJP+MsTmjbGefzGT48QilNXRRsbe2imnO2t68z3TnkeN6ytNB6idAlNsQErglF54FOQBeQsmb/5re5efd12tkxvplx/vQ+D04fY5sZW+M9yugZqUhYnPHk+Cmn1YeMt/fxyjDZO2A82WdS1UQtOV/M6GwgZF+WQHp2kCTATkpFkIASuJAqAbRUlOMppp7guxWL5pxQbrN3d4udmxbftHRNy/2HnxC8QyvFzvYO2zv7RKcoTUkpKzovaFxHwKSqsmey0Puxl0fdxm85myyTosnPQBIlWQInEZQRchWIwoeAkCrnU0ucdYz3RijFkI0cQqqaUf1478c1GdiWJDkel/wfEGJNSJAImRBSFnNPEISQTbxzdUcCPdff7tNyUPHT1Sj5f33ViVQqmUV7fwF874mHmKsgYgzJW2ggJOJw/PQvye/F4AcpOiEEzjua5Yqua0EkjyElk0xUWZbZp8ZjB1NigZAJXBb9td+/vkHE9pUSvY+AMWYgTYJ3xJC+lxrmpp7E3pivL5BQL87D7QmIvgpm8xipkqevPYTgPW3b0DQdXec2PgOM1ky2p1RVPdx/QojYzuZtZDaNB5mPmTxc1tUavc+JNun3rktkinOW5bIZSCNjDEWhmUzGidg1ikiaq1ZLjxRhI1k1rj9faWQk+3EwvP58ou3FbfZs+6VYe4A9e5yEnaRrJF0eGw4vYtP4XnzGMbKFeIRIQIkkg6dFxEWPCA4fWggWowrwHd5GtBb4bkFdmyyBlOSyou3QRYm1Dk2qQokClIwIHCpaCiWQwSG9RUsgpipWpUySzozJn0VpiQtrW3kpSVJkCflHKo+I6VpQxhKdJ7gRUhdZK8onotU6NAqD6T3bQSaJvqE7hEAIj8Qjo0Sg07WXCbAoIKqWKByRAhEMREEU2VeMnGyS58a1AJ3YbO5MsPYd09//+z7PfbIxRNYyfSnhoVe7CS4QRfIvQgh89jqSG+Mdkj9IUqtL/Zoq8vJXDhGJJAhNiArvJF3n6JoVrV3RtCd03YrlomE59zRL6GwkxBUuzPBB0LWKrktztdSpn0d1iVGGwihKI9jbqZmMp5RVQV2PMLqiKGu0KdGmwJgCpSPKxGHEp+qUQIiwnJ+/8Dq5jMv4WsWLqhwu4zK+DrFBlH8t4sKi5HnnJTYuqRedtFjfRIelr1j/Lfon4PRHwgY212H9vl+XRrmMy7iMy7iMy/j1xzeaGLl2ZZ/6zgEv3bnJo4en/Icf/pi6MoTQUtUF470p5ajAW1gtW9p5SwiBc6nQpqAejRiNapQp00KhKBDOEbuOtPhI1QohrHMrNsGfdSJ08mQIWd97nSGcsyifg/k8Cz7KTVmR/q0e3xyqRfLDe86Y1ELRLFumuzXRS2bnLaOJBOWxfkXnFhSjEhc9RaWQOhJ9xHqbAHoi1llMVeIzcOltykjWap+IpSxKnPcURZmBM0eUiTBxXUdZGpSWFCZlt3vviMO5S5AC2ziatmNSaFarjlVjWa0SUK1UyvbWxqCNRuskKyOkyFnnQJSE6Igk0FX2bR4TKJxkgVI/KdWjLAk4WfsGJJJLBBAyEyO9LnpeGGsl+Yt/9+eYH/+UWy+/ysHBFaSEqiyxrifIEtlljM56/wmMs2277kshKMsSZ0+TN0H0eO8wSmZgkcHE2oeYdPdxOOsRRoCUxOgvZvaHkDOIPQMinmWbpJIJSPcQvaU0BdACnkJbZFTU1Tad2KJ6t+asGVOVexS1YxVb2vmSKAuePnhEiEtauaSZfYgpdzmYHBLUlEXnWQRPVIrWeTxQqAjOQlAsnaf1mmgOkMU+O7t32eoWxG7B+ZN7LM+eMDt6gFudc3V/m0rNiQvL2fmMRx94tq8cElTB4a2XuHXlJugRixZO5y2dl6TqAZGyd/N1KH0yoo0iEXIrAUIK9KhGVCXRWlpr8WGFVA2j7S0Orxe4bsnjhx/z4OF7nJzex2hDWY/Z2r7KZOuAUV2xaC1Nt0LpIhMbm+OKDMol2LX3Y48ieQfETGoMaBv5GpaSGHKNSIg4n8asD9nTSIosQ5fkp1L1SgYh40C3ZLfeTECQTIZ1YfDOYZ2jl8vqAX/RkxP5d9VLXIVk1izlsxNUP399Oi1tqJZjXT23Gb05eH98pRRaKgIikw8B523KtmYNkmutBxJEiIKmaZidz+iyt4U2GqUl48mYokiSgb3fRtd1ufKqn0flp87rgulyXBMlmx4sMpMfQiTfDdu0BJ+Jc7k2stQqZ/LLnmARF9rigvzPZrXCxuem7yuRUuB9xHvPYj6j61ratiPGZHpeliWTSTXIXxnd92seO97TK0RJsYaeiWke6qUiRZ6zjEnn632SAjw9PWM+XxBjqnKrqorxuELrCUqZVDGY+zqESNe5VFUh+vvaRsZ9foYXIk+Vm+MoXS7DsdZ9dXF8vSgu9ufz76nP7LFuiJjH7YX3Pk3+pbqHiCDJRIWBYImZAAqIEFDRE5xFCEehNT44nO8QXlAIRyEVtlkSbSI5YuwQboUmpCov1yWCqzAYIZFKYKQnWEtwHcpofJZ7LEyR5gcXcpWWIMZsnC4NWipc8CjhUSJgFESv6KxF61Q1JClQaHyMyegdh7QRo1TaPpDIDikS3SJ78oFc0eZSmyDxUuH7rpQRlM2yYOle1N/7pfCpqEMIiGogQJ6V7O+XNz2d3HdZn5grIEuEBXwMQ9WZzG/KvE5AgFICqSSFESidiUiV5OSALPUG3gucizRNx3IxZ7mcs1wuWC2XdKuOZtGyWC1YNiu6LqaEGRRIR1k4jFZUxYRJuc+onrI/AVMEdHlINTYoXSJlSVGVlFWBkAqtCpTQaKmG7yVkorfaEEEEVHTImBJ0XCdoO48TPkl0Zc+5RNl5fGe5jMv4RsU3rcrh63aq36S2+3XEV/3+n7lb/ALbPLP9F64u+SWiT7Lpy3q/9P68YF/xnOVWzBUkz2x/gSf5Oo69dd99XhX3ZVzGZVzGZVzGF4lvNDGipcUoxWhk2D/YQmtAeAQR71oQIwojwRi0VsknVWqapmU5X/J0dsaxlJRlRVFUlGXNeHsbJhNk10GXvB6CkPjgc2XBGiTqsy6CD0OW7tqQPW3ryXIQvZ8IZIC3Nw7t9eY3UiRFQMiMhvaoQQ/OhoASgqazVGaL//jv/5L9a0t8NKy2HVUdKUqNKRWPHj9kNLlJa1uk1ggFzlmisJhKoavIqpsxntZEkiaHtR3NqkEbTdd11HWdKkgmdcrM15oudFjbUlcV4/EYIZIHh5SStm2o65LFYsmoHiG1xjqXgUvF+fmM8XiK6xqi7xJpYC2d65CtRKkEahZFQVGViUgYAEVJ0m9Xgw5/wNNLffQZ3SGkCo8+QvT02dJ9vyRj95yB7wN0LUpEbt+4zlsfPeLdf/1vGY1HFKYmyprp1i51VVMWBd6D0QmUSoULkrbtcoZyisIUuAxSG2No25ZyPKLIVQiRBHw2WaLGWk9nHUGkyhsZk3xWFPmoUmVAnAQO0YN2MkkTCYmWBT6Cx6MVyYs2avAFXpbEckIr57hyCiiiTFVEhbbI0LGaW0aFxi2XGGVZnp7x9KNfUG/tsHvtBts7U5ZeY6mYLQNKCiwtSpUYY2i6DrI8lXUg5RRTj9l/+ZDrMuJWc+bnJ5w9fJ8Hxx9iZiuqUnFlZ8xWHTg/e8Dpu485+7hm1sLhrde4cvUOFFu0QXE6a+m6CBhKXUPQBB/JejlEHbC+xUWQSMpqSqEFlAAt87MZJ49OmNSa2y9/l0I5Ymh48ugBT57c5/6DjzBlzcHhDW7cuMt0XOO8pGk9y1WDVAZTJBLR+oBUJss2JeDZh0jsCT1yJQtrIswUGtulPm2dIyLSsWwiu5xLY8IYhUbQkaaAEAKDHffGQ80FP6IYLxhy+947KQPqw7jfkK0CCD4kzx4hUP0Yu1Bh0f8ushcG64q5PB5DDLlYRmTjZIESqfrMOUcUcvjM5HUgkhxWDIzGY0ajepCIatuWxWJBCIHxeMzewX6aR72nKA1KJkP6BISqYS4WImTPkZ708YieNH3GH2XddhcB9z4ruyd2yrKkbVuccxhjLpAofTv2x7947JyFF+NgaJ76VeeqkNQ2q9WSxWKRiR2PEILRaMT+/h5FoRFCESO5uiQO95++2qQ/fx/8BSJssxqlrk3yoorQtoHj4zNmsxmrVSJyy7Jke3uPyaRCKU0ISZ6rN7Xf9DtJx/zUIFw/Sg+Z/OR5K90f120cN44BIsYvwokkgkKkCkTvwtobJfs59P0hRSKZUt8pQheGSgEfPD5XMEklcD7JKCYfnAgiSbgpDUKla0FLjbVtMmCPSUBSieSfJfEI4cA3yODArwg2IENAhUhnV5S50si6Drs4pR5NWKxWCKkoqxKCRQWF0gG/WjIeTVjMPLZz1JOKEB2FjDTWE3AUpUkymjJiXUApkf13PFWlkEQUkbbriNYy3RsxX8wQskUJxaptQKWKChklbeOpa+hCItejEliX2sUYsBZKrZLJSE8IK7DeUhSarmupjMbbRLCSSWJlHCE2RAuFLlFRpTaOgEh+Sn2fpWsnS+h5uyZQRFoLKJn8bcpKorRAK4XSUBRp+vFB4B1YLyDAqomcnSw4Oz9lMT9nuVwwOz9nNpuxXK7oOou1qY1j9rzRWjOqayaTCaPJiOnWlOneNba3Jky3NVUtKevk86VlOqdCFfiuIFqNQhACSA1Bgo3gRf7dW5QSODxRerqcSCCkpluBMmBJ1WKlMkgPMSSCXaCHxI8hKSBGjIz4dFO7jMv4CpHn4d/yWVzGrzp+t8HhNWz/eWTB8977FVWErDMkfwUH+7zI3/MzCcXPaIueHHk2G+F525DWreun5Gf32zyH39Y423ze2fhxSYpcxmVcxmVcxq8ovtHEiBABU5dIp/EugUAhBhCetlsh5E52FwVVKGQE13rqsmQ6nuQM7oDrUqb1+ckJR48egZRMJ1tMJxNMXSNHE6S1hLalbdsBcOx1OouiTABVBiMvgoi9Ueo6i7kHGjcXGMNvca0fKkXKKhxMoPN+QkjqokSrEU8ePeKdd0+oJ3u89+67XLm2y9b+GG8l81lLWYyYLRxKVShV0IQVUmmUkehC4kJLUQqQ6TuVVZn15CVtaynLmsVimb6PkLRdgyp0lhrzGJMMxYuioCgLfPCUZc3Z+TxluIvebDkRBMSAkpqdnR28a/A+eQV474b268E965K3RerrNcDmST4mPXiXqirkhZaMz4ChF+V8EigdPYgYCLnyQyrJH/8X/wV/9A+n/NWPfsKf/qs/pSgq7j04ZnfvkO3plCuHBxwc7KCkGiQ6vHecz5K0RfIZgaoy2K5jPB5DFHRdh97eoiiKnEWbzsl2XZJYkY7OOWIsUmWLCDmDPX2X0GfRSkmPTiewKQEmUYREwQ0puD6NGy1AKLwUBC2wWtBGDbHCC4NTCiU8Rjiu3d0mNk+xs4d88sFPOdidsD2Fzj3h3Z+9RxsFV2+/zmh6hVcP7jBvHF0By9UMa6HSFZ4I0mA9CGWwETofaGZztid7TG9cZef6XQqWnB/d46P3f8Z7b/0cHVZc259y/foVhG9xpye8e/SYgxsPGO8eYkZbXD+8znhrn/PzlpOnZxAqnBNEozAmgZ2jIlVIqaiwTcdWPWY2cygzZrRTsXvlgOX5Me9/co9JJbhxbY9XXvsub3znB3z88UccHx9zdvyYTz54l3K0w+Hhy1y7dYfd7QMWy4am7RBRYJSktR1FVSRTZ5l04bVSNO0KREArg4xikIGzPnnzhBipRyNs5yFKCmOYL5ZMJlPGoxExQtc1uEx4JaIhZWr3DwJ9GfxQzNITZRtzTU+E9KD7s8B5AtOzdF+WuYphLXPVA5T9nLUmIcRQeZFIXbFhqp79cESSjeq6LvtglAlc9mnO2N3dxXvPfLng6dOnFwiE/f19RqMRvaSVtZYYI23TUhTF4JXRk44Abdutr79sZh7jupJj7WFEbrf+2vVrkkSKJL0l1g9fVVXRdR1d11EUBcaY4TsAa3P4jXZXKhnCSymp6xpjBG0bWC5XrFZL5vMFTdNgjGE6nbK7u4tSitGoJEaxIQkWhioarTQh5Iq5TAY45+i6jqpMJvXWWoqiYDyuMSZNGA8fHrNYLFgsFrRth9Zp7r1z5ypVZYZ2cs7jXBphSq29SPq5c/M+1fNxIg++PrmRZ9r4RdDb8Kp48TYXtl9zf4mI6Xd7huyKfR+SKhSklKmCqyfGRe8LliuxAOd8TlJwaBkxRuE6SyBdyziFiIkIkFFguwZcR6kjPnQE21BoRdSOaOcUUlGicTgKmaoYlufnbG1Nsc0ZOIvQBdH1lSgSIwStCKyWMwSBna0JPtrk5OU7mkVDPd2lUJLGt3jfYlSZqoE8GCMJYYV3LUpVdMsVKgr2xvvIYGm7cwodOTk7oR7vomRF16Xv7ULKC/AxG6ZnErXpPMZIXBSAwiidKi1CRBkNAkptiLZBR0OwGlQyLbd2hdIepctM+EeMTJJ2zrtEvGiDKTS6kGgNWkNRSuo6/R5CquywHayWsFik62e5XHJ8fMzR0SOePn3KYrGgaVrOZzOWiyVC9JVPBXVdU9c1W1tb7O4ecPv2NtPxOL02HTOZSCYTQVkCSEKUOAQupGvCe4m1iReyfsbKekQowAuE89SVwxBBJE+VtglgEqFtpQApcCLiVUDi6JxFyVSFZW1ElUmWjBjRBtrOo5GUBtrGUVca4SKFEoN5vO1ABYGK5nOvm8u4jBfGs1jiJbj49Y+vwgd83WPzHv6Fx+AzAP3n7vZVSZF48ZT6P36T10r/3P8CcqRPVHkhQTCQI/D8dth879OVuBc238AgyEmIv9HY4EUYPn1jDHwTx/9lXMZlXMZlfK3iG02MrJolE6eQKmmfq0LSzpcUBharOSiFUB6EGvx+jTJE6/A5m18bg55OqJRiurVN6Dq6zrJcrPj4g/fxIbC1vcPO/h5FXVNNdhA+EFbtUBEgZFqYCCUzKNNrmadKEobMyBSboOUmWbIG+VP2xlAoIgUxSpLmBQQC0VpG44JJVRKoqcYFy+Wcn//tEcVoBEh++uOPwBtMWbO/O8LILYJb0bRzpFRU1Yj5akGUEY/Dx4DznrPzc4zWGfwLdMcng5zNcrlgu9pF64LOtRij0dpgTKAqS5puxWS6neVTspa+EKkyQo6wNrBsG7a3RvjGEaNMnht5W5erS3yWsInO4zKwPMjzxJQdrrVGK5MA3izFs9nGiCSPksAwcqq7zxL1IksdiSQvVBUoZ1m2DZPpVb73g9/jdD7nj//4j/l//N//OW+99Q5PHisePbrH1cN9bNfSdR2LxYLJZIIMEJxPMmS6pDAFXddmA2OHFDpnd4fc16RKkuUC5x2BDLCSqoKS0auCEJLkUgwgIqYoEVlKJ+Hb2c8hANEnwkgYiAoRHUpYvFolOaWyQpeB4CTIAifACQsq0gboVg4dSw5vvsbVl25z9aDmr3/4b/FEtneS58pf/9mfsr9/hd2dLQ5u3GK0s89+PUGWYxyRJ2fnKD2l7TqgwhQVznl293cQIXB0+hRVVHRhRLX3fV6+8Xt8+x+2zI/v8eFbP+ZHH3yEwXL7xlWuTSZoLXj68c95/PgIoWCyN+Gl177NneuvokvNyhpOZi1ni5ayrGjP2pSNHQNGSprFjPGkovELmq4lSk0xGfHS7ndRMfDo0UN+8pNPuHXjOq/c/T3u3HScz8+Zz2Z8cu8BP/3bv+VnP3+Lw8Nr3Lp9h+n2DlEqnI+M64rz+RytNdY7fFTYxlFWRQIZRcS5Fq0NujAY6fBCJHkc77G2pSwLRqMJSijqqmI6HVOXGhVkmr+EguDxzqW/0+QA9ORIljGSPbkRs8STGq6pEF3K3O89WvrLJJNviI2qrOEYmWjsH8qeCSHI5GSq0IghzR3Q+1oAIVLXZTLhdhZjDKN6RLNace/+46EypKoqpltbTKfT7BXiWK1WxJg8P6qqAqCxHT5GonWD9Fafdd5XkVmbPkepdO1sVtKkrHR3oWpmLeeUzKQ3n61EJp7KssjkrcfadE5d1w3zTC8HuDZUZ9jm0aNTZrPzNAdISVVV7O7usr29lcg8F3EuzQlt6y4QWWrD26RpVoMXUz8PSimZTqcbJvFgrefJk6c8ffqUk5MTtre3mEym3Lx5i62tMUUBzgna1ufPvdgewHMrbDb7ffPp9HkP0mt65KLUWry467N/PPNB619kGkoQkidEX+GR2mbtO+VdqmgUGqwNFEoSg8PaDvqxSkT4iNQGYkTGQGEUTdPhfUNVJUJOhkBVSEIpWc4bWucpdYnwHiNi8h0Rjhgs0YLGUtclq+UMu+xQEYJ1CBtwy1PMVON9R6U1ppLD/R3bMm/mlEazai1VMSK6jhgaTKlpV+fcvvkqZ3PLanFKVI7gWrSR2EZg1IjVYsXBvmQ+b3FCUKlIDJaT+09xzLl6XbK1D83CIYm0TSB60CNNZx3WW0aTmiigdRZtFLqSuVpJoFVB4zwhQPCRSaE4O2rYm1YYqZKJuwGbeF6CGCNUpCoVgkhtYpJdjEn+C5Kn1mrVsVgGTh/NODtLlUynpyccHaXxO5/PcDbNLb3f0GhUMZ1Oqeua3d1dvv3tO2xv77C1vc10MmYyKalrKEowRb+2SoPPOYFzmXRxiRA6nQf8scsVZoGgItFAFBXRCyIOUydPGF2N0KFAOFAFlCpQFB3N8oRqXFIKyaqTKFHhhcKpiKk0jZ1jlEDKIr3XipSwUwAuUitwbZZxUxBlZDzxwDlV6BCdYjraItDR4ZFiyur0xZfOZVzGZ8azfPRvA+i9jMv40rHBDPXynJ8H0H/FoRZ/iX1/5fEFrpnP5Mz6a/0zDyGeMydsJBT15MlGhfqnfv5ar+tnWJHhPH+NH3kZl3EZl3EZ3+wYMAjxhe8X32hiRGWCQSpJNSkoy5KmWYGKLJfLLO1CvqdKhJBEF0FLtFa9ZgN4h3CWGEFqRSkF1ahi73Cfrmk5n8259/GHSK0ZjyeMxxOKqkSVJvlUyHXDK+8HHwghdc5YDUMlCcQL5rubMWTo9n/njNpkAh+SoSvZ1DU47GrO7rTi6PgE2zWUZc3OZIyLBatVx7xZ8B///Zs4H5lODxmNJggJ52cNWkim0x2ePD7KlRfJqFhKQdO12OwnkrLd4wDKdc6B7MHXLHlVFNguZYWfnJ1jriXJj57MSJnNbSI8uo7FfMXWpMQ5SyqAEAih0UphjB4y0/vwMWCto2kboktZ99Zaus4iaFFKowuNUr1cjUrgqJYXllJigOySfAfZ2wGgWy2pxlOElMzmC5SeUFUjdnf3+ZM/+UfU9ZinR0+5f/9jjp48ZHfnCqPRCK0V1nbMZjNGoxGeCSE4xuMRWhuESOfSy/FsTaeDV4tSCu9TtVIQgc66hENHkhaHTP0fcSTFkYgPKpnzDln+CSjs28xIkSS0fAJapBZokUzaSx0pC4OaJ+N3R0DIgI0WT0AXiqLa5T++9wtuXN3iSWspr38bFktkEJgo+eN/cI356RMqA/PTY955720Wq5aXXv0W23sH7G3tg5Ts7NWsbMd8uUAGiReWxjom21OaqIkoVhGaZcCgGU9f4jt//DJFaDh7ep9HH73LT977gFJ7drdHXL9xA6U9y/acn7/5lzx+8D5FvcVk+5Cq3mOvGLO3f4uz88iy6fBREpUiCk+7PEePDJWRaK3xFmYLR6kLJju3mG7f5N23/pa33v6QO7evcvfONQ4PR2zt7PCd3/s9Tk/POTo65q1f/Jy2s2xv71JPxozqCQeHB5RVQdsFOmeJSuLcKsmbBUGhDBJP6DzRBHoz49nJCdeuXoEAZ6cnvP7yXcZjRde2KXM/qiQVhMAImSR/6B9Q8lgWPZDf14+sydW+2qOfU3rSoDfUXldLJG+KmLcJwQ/XnlIZHM1AeS8D1fv7xI15TOVqiR60N8YkySLn8v0ocu/+febn54xGNdPplLt371DXI7z3tG2bDM8HPwwzzIk9UVCVVTZFTyTFJplcFCaTF2GYt9RQORKH4wohkSIO5PTmPBwHUnptqt7v12/bb1+WZZYpS9df03Qsl0uapoEoaLsWiEwmE27fvkNVFWku8+latZ1jtXIDwdGbsiulErgvSN/Fe2IIyXsm948xBUan9ztrWS6WaX5sGlarFVIK9vb2+Pa3X0EpjXNgrUv+Tis+Vb34bGXI82TGLt6n1o/IF4ik/ELc/PvZ43x+gcjG8TYImM2MxuCIEqTQ+RrJ98lgU/Ucgm61ohiVxNAiooMokOgkqekDilw1GC0Ej5Hp+g3tAhkVMhpWsw4plxhhUXiMUAQZBmRdxA4tI6WRNM6homS7krhgqaZTbOcgeK7sjNCxYavWzJqWaHNFhiqotET5jq29CY8fPWJvt8RIiTGCppsjRcHs+AnIkmltiEqwaBqkSuMf79gbj1me3Ec5y7g0SDND6Jadccnx7ClbVWSr8uyOFsSwzdnKIXVAS1i150wn+xAMrfUUhcTbhmBBoNAy1cVWOlVBBtdSSMm16wK3WiGZYUpBjHOiFqy8YN7BbBZ5sGw4O51zfjrn/PyUZjlnuVyyWMw3Km8jRWEoCkNZFkynE65d2+e73/0WW1vbbG3tsLW1xXisqMqIVD0pm5JHnAfbCWwmPGKA+RL8PBBTCgnke2o/mvp1SZ9cUYyK/J7AE/F9Fq6MCK2I0RKiQQcDViAcaBFx7TmL43vs7Ur2t7cYTfZ4cuJ4cHROOd4iOEXn2iQnFhzSB2S0KCEQMmJtiyFShpJapYQXKSOPHz1By2P29+Bwe4RCspwdsbNd0rrA6cmSUn6jl+6X8VuMF0CMv8ETeAZcvYwvFvEFv8MvV80wSFp+xVHx3EqFr3Csz6uI+fSX/vTfA08S1z+/TESeSY/5nBP8jTIon9tAv8KPuth/YuP/KXJDi7VP4KfiV9U2F87ltzpzXcZlXMZlXMavPMSvd2oXguTT+MU2/0Y/XRVlmbKAY8AUJaYskVKhtKJzIaeZJjNepAEEopIQPHhP8I7oQ8rMl5roPUIbRBC4tiVJHBj2DvbY29/BOsuy6VgsZywWM5TKIPx4jOqrF4QE11eIRLwPG8BTAiuTj8ZFvfr+Zwi5UiQvPGIkEyP54V4kSRBkILgl/9X/+p/ws7cf8+jJCR/fu8/5+QxiTSUVqigJpMqL5dmC5VlDWWvaxjETKyozJrgjfBcRIck9ISOL+TwBc0Tquk7SMD7gI1iXDF072+Xs80QyCQFVXdM9OUrgs/d45/uijOTDkAkk5xzEQIg+6cwHCSJV1PTr815CJoF4Em8ChS6wRYcgSc3YrgdCU1UJdJnAkbmSRQ+VI0pJZMhm2DJlzvsQkQFi9EgtWbQtxyenPDh9Sr19yHzVMFvM0Uazv7/H/s4OVw93+Tf/5l/zt2++ybjexe5ZRqOajz/+mP/xf/xnvPzKDW7ffYXZbJYzbv2QPb7pXZDaQw4kiVeBrmmIIZDSRj3Bp05PVUkZ6PE2ZT2LZECbEqaSOS9BEaRCBJ/AQFzK0hUaJTVGaUohwFuU9ChyRY3yRBNxQfK0XbF18w5HqzlLVWHULmqkEFbgY4Q458reaxSy5fjkHoflFufnp8gYWB0/4a/+zb/iu9/5HkIZitEW+3tXkfUW521DWVas3IoQQUeJEEmSzXnF3CoaIRGhpBq9zCt/+CovfX/BanHE44cf8OHje2gJ25OrTModTCFozh/SnH0MQdE5w/zwNa7dfIPJZI+lA4xh3jhcAGxAo+iWDqkKiqpIEkJeEGLH67/3fZ48us+9B+/z8Ogj9nYn7B/sMxrtUY7GvPr6Pi+/9hrHxyccPXnK6ckJT5885tGDjwkhcO36NUaTMeNRTVVIhFa0jUWFnKkuA6USrGxHdJZxPUYLiM6iifiuZWt7n+M2oqREG4MNiayIIr0WNh5ABmB6IMGfyc7P225WRPSvee/X4HhKxUeKJC/kRe+TlMy9pZRkPiQTiiDyZdTLbImNh6O+imO1WtE0DU3T0LYtSkm2tra4fu0aZjBD9iwWM0QmrUWeG/pKjv77yOwr4lxAKYOUGm+7gVxMc0UvoxXwzmXTdIVQqZHWVRG9ySTD+fZt07dlkgdLPzdlu3qJrOVySdu2uYLEpvksn6fWmsloQlmWlGUyLrc20DX2U/O9URqhM+niPEqvq0EECfzVSiGNQYgk92et4/RkwWoxz3JbgqKqqKqaw8NDqqpM3gs+0raeGLuB6On7pv/Xn+/ma5uyY58V8kVvfNGKkH6LDYLm2dfSG3nKhkQEhoiILo1XGKqhQCBi8uLxMSAJaQ70LVokIlwBWkk66+llyqxrsM4zqjUFAm+XCAxaFghlScJILRKPdMn0uixKEIHOtkgZGI3GyFbguwWoSKkK8CtkCBA9KrbYeUs9nWDw6KJOY71rkUIluavFGeNSUReK4DtsN0dJh1YS380ZTyvA8fTkEdY3lFXAGIl3yaOrjI5KB8LyPodXLe3qIRPT4MwTjJ+j7QljCQiFHtUI42j8OYcHJR6BdYLppMZFj9CBVbuiKmAxb4nBYl2HbCKTuuP80VN+8fY5Nw/2+O63d/Bhxo//9m1+/OYxT85qrKqgKojKUVSGqiqZTKYcXDlkMp4wmU6ZjKc5yaTCGFAqonVEqVS3lQzSJc4JvIdFEzhfxDVwFWOqogS0VoME2HCd5zUJrKvgECLJIK7VKJOnzrA+i8kzzCdJsBAd2ASTlZTgA7UJlDoinGVUwaPzUyZCcjiueXL8AXauGOsptqupENSqwree6B21Cah4TllGhOjwsQUP7RycS/KKH390n/Ozp/yXf/JtBCe0sw+p65KmO8PNNdvbWxQ7U9rqUkrrMi7j1xr9AmvIlv8Vxlc63AuA8f6lL0uKbALXQzbDVzmv5x07r1C/1PE+u7ThRV7iF1/LgP0FcuSLx4tJkedv/XWKzXX4C7Z4/lj+Kl+jvzZYVxFH8bzjbhJ2X7I/NjN9xfrnUDX/GRJjl3EZl3EZl/Fbit7+QWw8zz/784X7foFFw2aFYvz8u3ZSTAlZLejz4xtNjKAEUYqkiVAqirLGB7JGugAXAQ1CI4ROneWTdjtCgJLrtW9MACSuQ0iFqUpiL+3kumTIqhXTrUnWJI847wk+0qzmiP6BXGiElGhtKIoSVVSEEJOPRc443pQt2czY7bOSe3NwQYRB814hY0AiIXra5RzKyPVrL3P7te/SNJaHDx9w/95jHj885eNPHnJ6fs6qS6awSklckNhWYrSk6xpGdZLC8M6htMI6h6kVi+WSpycnNO0SJUfZGLkBQc6ETsSINGoAEp1zGK2x1iaZm0w+9ICcdcmcPMnCNKn/Ytj47uss5bTAS4vUXnaqBymTsXWkMA5X+KyWE/E5CzT5lETatqNtO2IMJMkgiRYGXSp0LFCqSN5y+XO9c6iypKgqjo4/Qa3g6ckpb73zDpWu6LoWERL4euXgAKMqCAXNasV0MkGXJT//2c/48d/8kJ3dA4pyG0FJXY+5fv06MSRipCdDrLNURZnGRvCEGLHOJvIoanpDiUSEJeA6PWr4XKWkkrd6bqMQA4Fk0psqB0CGJCcUsxyPlKCNJESHpjfMBiEKnA9oISl00k8/2L5Ku7QINJ0LGK3oCMjxhJPYIRGI7dts7d1k55rF2xWrs2N+8IP/GbFbcfToHtXoGLc4pfWBa3deZj5v2R1PiEKDqfBB00aBlQYvDFJVOA+rCItZR1kUmPFVbn3rCne+9Ye0iwWzp0esFic8PH1ADBN8d4b2jlJpHr73PvZ0RVFP0ZMxcmToouPw2g28rwixpNXQhZbWWVyUCGUIAmZdYP/6Ta5cv0ozO2UxP+X+oxnOnbG9s5OqxJRmMp2ytbVF17Z4b5mdnnB2dsK9D39BWSRZuXJUs31whcloiyrLOgUREaEjupbSCFy3ZDWfIaJHkjKQF+fnBFMkabVc8RBzZVMIIc1fyHVqfv8gKfqx8nyQua9K2PQY6YFxQfI8kSJ5CPWVH71xuPcOqXWSC8yfselh0h+/bRuaph38QHSW4tvZ2aGqKsqyIASPbe1gJt5LEWqdvHGkkkQfNs4vGw/n7yjYIGD0uoIi5IqKXnpK0J+7Tf4mRT20R9xon00pw14SkQ1iIGZJr74Cpff06MnOJO0zoizLgYSVUiJiIoJXq26jUmUtO9Yfv/dT6gkKqcH7VKUjhcC5jtVqTtNc9LYyWlHXNXt7exRFgTKGGMVAnDwbm/cYyN4bUuD9WpLri5Ah60E1/C+33XoQPv84F+pKNvZ7/u+f+qwQUnqDgM61EB0KDcEjvB/GphYRKRIxZjRIPLZboVQaLyLG5Pnju7R/FKhgkTKgfCD4hkJ6tNLI2CGixdsFWnSURmFXS5r5jNHuPoKIUgJCwM7n+FWTiAW7pCorWucQUlAoxfm8QcuA8A2FTBUIpTEsTmfEmCo3usYzHpW4bgXC0XUzypFGYyiMpJSBxq5QsUMIh4ot+1PD6dMZhQoo4dmqA1Y+ZX/nHLH7GJoZ3eoY6Rroztjf2qFtImM9Yn+35uGjD9kebyOKm/zzP/13PDkxzLqIFy1NM6NUJe1qxtU9A/GYGzcKiuuRKrTslp5bO5apeMh58zF/9wc1f/fvvMHcXues3cHpfVQ5zeumZFzfV2/4KHA2VXhY7+lytUfwHuscMQaUVmiV1lKRBH5EKVBCpGSLHiQRudINIKTPUELgRVpD0V/XrGXuXIzg+4SDNaAUIsjgKKMD32EKQds5jC4xwhPlEuPnjApLqZccTEumwTKfPaZYjVncP2Y83Wc6qbByxWzpOD32qTKxdqjwkNn5T1mpM166c43HT0750X96m+3JK1w/fJnVzLJftFj7IX/9px/wxuuvcmV/i9nxE2xzQq0nhEXgo/f+gu9+940vfr1exmVcxlcL8alffvmI8JmG2C88l419LhACX+FYLzqx3zbG3K8lvijYHZ/5ufnGCw/xfBboM0mF51U//Cba6sI5ff4HDuvl51bxfOqXrz4Wn0N6iU+9kJ5RhnbdeGT5cp+z/qy0TtwA2C5Jkcu4jMv4ZeK5z57PIfWfee59fjw7l37G3Pq7OHf1KkxZon1tDSE+gxj5sgkUMMhW9Bhx/9pnnVf0YL/Y4b/RxIjzoE2B8ymXuR6NcNYTgiB6ibcepQpAkVKHBWhN9IEQHD5r0EskQfi8qEgGrX3miZAiVYEMOiFJSkUISVFqpFSM1BhvHV2Tsk+dbVk1i2RkrEoKU1GXJaYoCH2afwh45we5nB60HC6k4EFk0ExqkBIZSOfqIlpLpJE8vvc+oTxn//Aad+5e5fatQ4KLnJ3OODo54f7DBzx+cs79+3OeHJ0zWy4JtEgVGVcGKTzetRidPAmkKDg5PuNP/+X/l8nWmDu3btA2HaumQ0pN09iUsZ2SytFKM93a4ux0jjYmeSEQUTpJcyFS9UbXtSBS9ct8ucgXDmnxJHr2Ly16Yk8IkCUzIPVFBvwFPUmiM3E4IPzPGLgnfXnnkkTPqlshnUC0K5QyCAxGJkDViojSI6RUlFWFrip8iNx78Ijt0RZaFzhrcdnfIIZAUSgg4HzHravX+Ht//59yOjviP/6nH/POO29jim2UUuxuj7l6eAWBZFTXaKOTPJGUSY7IBbyP2fx4Dc4KmTLeRUht2iu2idwWySw7EHwkeIcXgYAgoChURUSk8SXTJSB1QBlA+KG9pIjIqNFRomKgFDlDf+mZyjKZExOJdEQVaKJHFIYQDNKPaF2g0BBpKPd2GJfg5qdMd28gY8didspIwpP3fsrxyTH7B3ts7+4ThKGqtxhXEyhH2OhweGZt8uqQSmN9xHuwXiKiQal9dq9eY0cGOj+j7c5olk9pj58yf/KI5fERi9MP0SqwcziFUWTm5ozK7yHZoWkl5WhKXU/RwoCqcQSWTWq3ZRMx0lCO9hjVe4QDz6qdEYKjaR1ttDBbUhrN3s42SleMK83O9phbNw+xbctisWC+XPHOWz9nZ3uf2AmmW1Nu3DhkPFLsbk04maXh/+TxY1bLloPDA/b3tjk+WXB49Qr1uOboxEJRZEIsZFPpRIwkomADiN5k5fv34uaf6b0LfhoZ6DeZTCBXD0GuqogM8k0ueFSWhOsluKxNZOlqtRr0/4uiYDKZUFUVWqdbSw/KJ5IyV8PldG2lNcEHrLOp2k5rRK5YSfslyS6R/TtElPneF0m+UTJVecQkree9S8SIWEtrhRAvVKH0BNKm78hAerSOLleA+JCq2pRMAK0ymrosmEynieTIJE6qAEzZ6t47nEv3k5jns77y7YJslxAoLTE6SXs5F+m6jna5SpV5fv39BQJjJNPpXpLQMkXyhQlJXjFG6DoPyCxJeLFCKFXjXBwf6TtnDyM2AYHefPMZE85nszIHknbj5Y21jRAXdxge1DdIqIvx4nTVnkwXJPnG6CwSjwaiC0Tv0ziKyXNHREewHVqADBZ8S4ygdO7z6JA4SmNStUWwlFoifItwLXVtAIu3EaMjRnWpasR7ZIjsTKrkCeE62naJ9xZZGEQAIyXnizNau0KYKbYNxELTLmeUBYgy4r1ktmyZbh2AT74W29Mp5+2cnd1tjJxQGEnbGRwNu3tXQe5ALLj/6JRCRnyMtItTzoVHi4ZCB86fPuTk3iMOdlc8PfqEb31rxJv/6S+Zzzv+3hu/T4gLSj3m/aO3KWTFtt7lyfJvOflIcue1f8RetaTY38WMtynHKlX8AaPSc31fUqs5jx/+hCcnP+KVV6/x6u4uV7ZaPvnkr6knLbs7e7Sx5er+hKfzmg/uPSa0BTZW2JiKQkOEXsZSDqRE7l8pUEYjdapqkj05SSYVVQ/4gI8M98J+6KalhkCEnPUbh4TWLKcas5xWri+S6Vw2nN+QIlKojnE8pm2PONy/wmrhkbJBhpayajl+9DOsOmc0gdhWxOaYbaU5+eg9xuyBW1LpQCw67NwzlRP2JrvgnqDUB5Tjd7D2Y3arO8gxVPYDrm5f5+5Vw0fvP+D87EPE8j5np9DsHrCSZfIQEoqRHPHkk/uM9BFbdfWpa+UyLuMy/nONbwDI8ixw8YWAps3NxUB2r4mKDWbkCzTBBfJD9D59n0OKXDj+b6GdvySAlpr186pHnrPTV/5qzwO21jfg1F39Np/Rjs/7fJmJEPHsZwhEnym8+fo34DK4jMu4jN9CPA+c74lWsXk7Ehe3vXCM4X/Pj+fNuZuv9UmK/b8QIX7BMoavcwiRHqqkAJmk3/u2TT96vHdACS7u+2Vj4x4y7P2pto99JmzCVKPii8Y3mhgRpsRH1S+XqMoS23aU6gqLWUcMhih7uRdyIwkIEoFKBqkhDIutnpiIMREWmzdZLSW5tARyVrKImSgJKRu/rAwmKKLTeO9SFUAXcN2ck9UZEYFUhrKqE0A+SUavou2yHEsCf4bSoDzAtACps1G4DxBMBs0M9z96l3/2//o/8d0f/CFXrl7jpZdf49rV6+xfOeTg6iGvvHSDzgXOZy2npzM+/OgT3v/gAx48fMzToxmFiCxOz1DFCOcCdTGhdQ0fvPuAyWTMo09OMEbzcO+M5XLBsnHcurvCVKOUdRwcyhR03lKNSoRS+JjAKh89UskslxSzhr9kvmjAVElGBHExEWqTHBKC4COC7CcwSF704GoG/tOrRCFQQtN7LUCFdx6bM8etbjL8G/HWEnxHl8Tq8UKD1WAdKrgEwKmSEEpCTBJtiEBrA0JpXLSo2BKcxxS7dK5jd3efm3duok3JaDzl9q1X+H//P/8Fv2hW7O3scOVwP2WwVwVNY1FG4kPE+4gUGt/5RML131MKILVRzP8Pwafk1zzRZPoutS0gM7BNBrnTWlQn4E7AqIwI2RKMAK9RXuSFayKoQvBpHwVWJD+XOBwtg9FeIqNM/aQiNkaEGoGuOfMWVVdIPCp4VNVAdMjlOftbd3Cu5ehsQeyeQPwE5wM3btym9YHDa7c5mNY4NLOmYaUUjRU0NjKabLPsLFInk2yhK6LRbG8dovYt1esON5vRnJ/w4fs/5cOjxwSx4mxxRLMSXNm+BkGBNpTjEbqu2dm/gpKa/e0dTDHm+HhO2y4QscTaVI1WjCo6a9ke72OCYHW+pFsteffJh1S14Or1ferpCB9q5MphygP2DwpuFymz+dG9xyxmp7z79jsYsWJr5NkqC3YOrnL31dd5+613aJqO0/Nj7j9+xO7kGqfqPgfXXue8sViffXhQxJCuFakVTZfMmX0GFpUE77rU5zL5LAyaigLwAe9trmpLNy+lVKpkCzGB/zr5mPiQiDNlDFoIVPB0Xcf8fD5UZ/RG67u7uxSFShV5/QgUAp+9Si6A8iLNn4l4zsQcChcc1nl8SKblUq79PbxP10Qv3xXIoKnIJuG52sHakCsgBMYkOT2kQIQwPKBJLVEqVbUtlw3OWax1G1UuBq0NdTlClxKpRKpaiZoQeyIqEHFIrbA+4K1H+0ReKBURMRGdohebSgwEWptUYSAiNkDbdZzMVizmSzqbKsXqwlCakvF4TFmqTJyqVOHVG83HiLee/olQILKvRr/WEoP/k0zFRsAGgLyx3ltXkvRE7JpQi2xsl9c0/c8Q0ywq+4PF7OWVJ6S+sij1dT9n9x8scuVAHKos0705kTgDzJHJOZW/X/D9LJR8GmTnkC5g8j3DKVh5B9kDRHpJiA1ag1QRaFFaYQqDaCxETWhbhG3RQuHtglJ7ahHpbKRdeaS2VGYF0dKsWoyeYIQhuhW4JW1zhlAaaUZINOfzJfVIoirDaOsAI2tM8EwLR2TOzpU9jmcdN6a3cJ0hriIxLnhydsTJas7SWnzjkF1kdT7jaH4CpcEiWSwtTx8f46KnqDRaee7e2eVb367xsiH4E0oTGRdj9qd7vPvOW9x/+iF3X3mJe6ePuHXzD2nOp9Qjzc5Ic3z0FnduSn767hGac/43/90/4MHjOT/5+dts715n2S7QxYrr1ytE9xTVOE5XZ4w6i1zOefu9XxDfeJUlK8p6xAePjjibn/O/vP2Pab1kXArOV46oIqqQiCjSeouYx2K+78hU0ZlXzfkul29xuccjQBADRiLTkEv3JhGzZ1AiEZUIiDDQH3glsAIEHUpICqeTxJlyOAJBSYILyCjZLjXM5yj3Ecb+glGcslpZDg5vErs50p7TNu/QLGcIeQWnJnTtU/7g+z/gZz97jHOKUm1zfPSID+/d4/rNb3F9/w2ePnqLs+M32d0+Zjo9ZWcqOL33NluT27x6fcLvfesqRycfYdv3mU4tpVG89tI2N29YzmbvYbuWdjljKhXfffkux80Zq9U5l3EZ3+i4AHBfxufG71oz9WvTLxGDXNQmkD/wI3Hj9y/++Z+9+Sbh8s3qgC9UULGxbrvYF1+MaPrMA/fSWr033AsivuivISG1XzqKT2/SJ1BcziOXcRmX8aLqg/75s1eEuPCPNUGStxV99tRzDr/e7jmfE18wb/aYbo9jhkgMPj37hH6/b+L8tdGOSiEy7jIoHW3O32y29cbfm8f6ChGf89sGILI++n8uxIgqRygtCNlEuNAmQUVCJ/8JB1JGED4BdwnVSffr/nk8Dgrl6aE9P7DLnCcP+ea7maESU6eLHgUK/euJKBEiok3aphoVxGwIG0OgXXXMF0tOz06RUjKqR0zHY0xpMoDpCM7hhwyJnDnt2wx4RZwXnM8b9stt7ty4xUu3b/PBu+/yo//4JvXoL9nZ3uPW7Vt8/wff4ZVX7jIZlYwrw7UrU1575QZd+4ecnM14ejTnZz97m3ff+4hPHhzReo9t5in7W1f4LjLvGsqyYLl8jPeOJ0+OOZ/Nqccjbly/xt7+NkU5AqHY2t2ns462tRRFQdO2TEajtO7KGb0xrOW4esByczoY1OJEyobG9xMZwzUYPKg+Yz7vJ3LVSchkVzJG1qCypJc0lIUeMlRT1rvDeY8LglVjUdIxrSv2pmNaWUAUtG1ATgu6ziGVRKikSe6DQxuBtxYhPCcnJzx8dMQNc43JdIudnS3+6I9+n9OjIz547yN++MMfcnd+B+s7vHNE0XuuCLrWEkYK27aIoVopIGIv/6HyUAh5jOUJW4oEzMkkvSNzWylEGodRIoQCMllEoNARIS1eQBAC7QVKRoJwGWhKGbk9rht7nkYoYgAp1IZOX8jdKIhSYZEEzDD3CRVQJhJchzT7aAXGWYQ7RfkjZiePGSvJ2ekTdranfPizv+LRoyO+84PfpxhtsbNziNcj2qg4nZ9iY0fTBqQsECjKckxnA1DQBE0xqSi29vg73/o2zfyY85OHnB495MG9D/mbD9/FKEFZFuzub/Pyy7dpjxrefvsXKKO5ev0md156nfHhASFqzs9bvDSc2iWVMUTbELymkJJyPAY6vOz44P49ooDt7T32t6+iRcXp6YxmmfwHXnrlLjreRPiWdv6YbvWYk6P7/HQ14/qtO9y+9RLjukDpjtNmzvb2hCfnJ8znP+XK9dsICZ3zeCSlGiFQeN9RVyU+WnAShMLHjohHSQNSJfAcj5KJzJJSJtNfIXDe012Q02KQiarHI6bTCdZ7ZrM5XbeWgzJSUZQlWinGdbq2+gq7GJP/Qy9PFTMh0lep9N4ZMr8uZJ53lcDE7H0RAm3bDjJc0PsRRaIPRLH2MAnep/kwH380Gg2VHyF6fAgURYGUirPTc7quy98lDnODUprxeDx8liD5JcUoaLsVwdsM2KdKliRxmCr5QuxQRiKlJjqwnUOrDilBKYOSJle1gbWB+XzJ+XzObD7Dh4BUimo0YjqZUo8rqkqikYQg8D6RpTEkclQojQ2JDBE9kSFFhpF7WTOyN0wyg+/vVVqnSsm+sm5z7dUTKGulg0y2xlSp11/hw9Fy/0qV+q1ffMTMbMdMygoJIvaeRImIliRyS0oycSuIDkL00I9DwVDFKaJG93OQS0C3kB5tAsJZpA8Yn0g+Fzt8CPjgETJipCI0K7RJJI53FoTCuZbZ7AxnPbXR4FoqCdiGsUnm7W7ZMB1PEQ5k7FBhwc7uNodvvM7bb92n1AV7k5rFCvavTqkmO8yXnrOjFbvTCQ8fPmB5fsbpe48p1RaLkxNMOOHs/BOWoWW2gFU7YnZqkYBnzso3+KJkOtliyxTsFxO0FRRbFVFG6klBPZpw99Zd6vE2e4e7HO4XFPoxs9O/ZG/H4aaK0BZ0c8fZsQe1z9Xrnle//R0eHJ3z+Nii/Yh25ah3StrVnPPzYx7eP+Lw+j12dneR4YiRfpcwO+H6wS2O529jREGQT5ifO0oN3fmSbqa5e2ePtz/4MWfLcw7sVRaN4GDvNVZ2h9s3rvPuh4+JQmIB63uZs5Tl2Vcc+Tyykn9Mv4ZNa5xIIhf7ypALC4UMikWREgH6NZIkJbwIBDI/n/hegVBEVAyovO5z3hGkwGhNVA2TQvLg/bcou6e8/K0SHRUj/RC15VD2lODO2TKKjx/+lKrehdWUcm+bpp1x74O3mIymeN8wmkyog+HK3l22pmN+8uZf8ZMf/4jXX93i7OnH3Ng/YKwFb/7kF9y+UVD6hicf/ghZTfmDH1znydMn3P/kPltTyaNH/5bR+CrBdbTzFQsN78/v05lHbF+9rBi5jN+BGIDZbyIo8BVjE9T/ovG72j5f5+81LIzi81//2seXGGjPYlI9UfLLkiPPHvs5ZFjOi7kIOsIAWl6U6MqEy5C5EwfiJQ4s1zelfy7jMv5zjedMAs/Gl7mM10Dg+oVnXhuqGJ6pHOkltDeJkWHeeR5w/yXx+560FRvkfQzJ15kQiCEmUDP0+N43Zf4SaxJEDQ/3L2xnNrqGZ+f0F37E57f5c9+6kCixxu2/aHyjiRGhZZJZIQ3iojAoJTdAtg4pTc5M1SBUrvJIDeWJGTRPHZlz4PON+mK2a+YoUsiNDo99Tn3aRiKyvEsvh2IBj5QalGQ8GTGaTkAqXOdYLZYcHT+h6zpGZcXWZExZlUhtQCXQkxjBOaJN+ttCQl3XrFYrRqMR/9v//f+O1bzhw4/u8/Y7H/Deux/w7//i3/Ef/urfs7u7y/XrN/je97/Dy6++ytbuDuOtLYrCcP3qFX7wB9/CtR2fPHjMj998izff/CkPHx1hGCN0hbMeLyZZBgNMaTh+fEbnn/DgowdILdjd3ubk5JiucxRyRKlrRBRURUH0KYPXRkfEE4Sn6xYQO5Ic1HPp1Y3GXqf1POvLsgm8DnuGTd+SlHVOTEbHQQak6sFATeELvA94JNJYGgdbWyPe+Nar1LvXOJ6veHJ0TmEE87MFhRHUpaEuC/ARJTTn81OUKvAu8M4vPuTDj+8jVKBtI6tly3Q65dq1axzsH3Dj+nX+5Z/9C7a2tynHo+RVoDVdZxHUeGefs25Mk0+fzK2UACUycSGTZn4GROUGGytERMgEQiFTe0YCWmUKsM/m7lnCDZLpU/esC8x5v13PVOU+ErnPclVQL2eCAKULiJ4oIro0+Fqy7DTF5AoyWB68/y5aVDhdsXdln0f3P6AwhuLBu/gYmW7vcmN3n/HuASFscTq3eK05bWZ0SrOMES8lvqpxjeds3lKrLSbXdti//j1+8EeaSEuzOOfhvQ/42d/8Nf/hv/9n3L2+x60bB1w/3GaiO+ruiL/+s3+NMDXf/f4fUNbbbI8qQgzYboVtPWpS4RCoaU0nasqwxXyx4ni+4vj0fUZVzY3Dq0yQdN2Ss9NPMES2xzXjkeHBR48ZlQV37lznf/jv/wdOjo65df0af/RH3+Ng7wpXd0e8/Modfv7OQwq/4ODgKudNg42CtrW07Yq6rGiXC4wuqKgIUSEKTeNWeJ8y5LXsScCAD8kjo+ul2qRCKJ32LxQiBFZNS9u1LBZzzs7PsD55VdR1zXS0lfwxskeS9z754Xi3cR2qwasi0BOhybeEPCyVksM4HMIn0iXNm5KYPXhijJSmwCidSA3XgpDJU0OpXN2hCcFlUscmYN37wfS9J0gTISopi2KQ+yoKTfDgnB+uH4hJClAISpPm6zSnREKweDwxtoDDdZ5ClRidZA4JAiHS/KLNiNPTFScnj+jaVfIEKSsKrblxcJXxuKYqDSKCtT71z9LRBE+UCilStYjoASMfBvPxdMnF5DM0LALT6zL7JQxVGCSvk34uBIY+khKcC0P/pT7qM2Uy158jVRixcd2HYV5NvbzeN2RpPynEQIJpmf1VMqEVfJaHiyBFRCtJjCGRXSRJstitUJmwsq1HRgFuQWdPqSQU1Qiip2uWUKQxNB7XFFphpGbRHDOttyjrA1x0RBmpxjVt16CkpjIFjVGUMpmfe7tkZ3uH5eKEp8dHaF3w4JN3aRaPKaqCVftDTk5axuWYp4/uc3J+hCw1XVScnXe4ZUQLi3DHyFKh611qs4/qQIUTbt3ZZXd3l/3DHXRxhZ2dHSItplAEJanHV9nZ3UMGT/PkEVdqw+7uiPtHD7DKMNm/wb1HC5yqKCY1x/Njbu4WVF5Q28isc1TFFjdeuomWggcPfoFdNMxODJW5AmGbx5+cUwSPtEt2JgVHTzqu7V9lPKo4O7/Hyew9dvYtEyloFke4k8fIKxVSP2JlFyxczeHdPa7f2WW2esgfXLnGT9+bcXL0kL39P8TEu7z9c0HUMG/3aQuIJqCNIrqUjJBrbde3dRkJUSQSnzQeonSATyRHVKQVXp/JAkRFIBmpA8ScnSSiQIU0Rr1I8l0EUB60LFB55olaIvQILKwWcLij+eS9H6LcOa996xpONvh5SZwF3n7/x+jK8ff+wd+h9Ib/+T/6L/nZTz/i0ePHzP053/32q/xP/+f/K9/77h/yvb93kzbM+Iu//Eu2t6eEnW3s6QfcPFjQzY9pl3Pe//mSunDcOriL6gJXpoqd6ZK7336NP//zH/M3P36H73/ndfbGjuOHv2BvS3L7pVvIlw6498Ej/ubHP+XW6zepJmvfpMu4jG98fKH09t+R+NJf8wvs8JVA7F93ez8HBf9NxJdoixfKTf22SZHf+rWQG/GrdN9nnfoGmfGpl593ChfAyU3Qs++f9PtQIT+sEX7b7XcZl3EZn4pN4oLNXzeu801y87NKzT517H6XDWyql5q4ANSL4TWxgeUmImQDiP+sz/4S55WfUgZYM0kHAyH7tHoPQYAPqYqkJ0i+ztG3Y0+E9D+V4tNVOZv7fOpAn9PO/TZf4RwHUiT/4f8zqRhJA0gOzF5VVfnlgJAR23WMxmXaNmYAOOQcWLEG2td6aD3Om7XwNzs3Dj/yPukGH/vSKbEmUfIW6RhlmS7OmHXmMxgtAa0lW3vbbO3v4JYL5rNzTs6PiSceqRSmKBiPJ+jRCKFUApe7ZOA9qkuazqONxC/nVGXFd7/3Bt/9/ndYrRY8fPiIDz/8iLfffo+33/45b775N1RVxeG1a7z+rTd4443XOLx2iIkVxgheffk6r75+h//2v/7H3PvkAe+8/RE//8UHfPD+JzSzY6LQTLZ28DbJ6owmY6SA1WzJR8cfA1CVFSJK2mWHkYaudYxGJUoJgrNEPFJB2zZEZwdlsmFxKj49Oa3XRCLryK+jBwEzIoiIkVxbMXgKOOc3iBI2zI+TzI/SAi0U9XjK2bylWzia1YrJ/lWuXztga2eHP/qDP+RHf/3XPD16iPM2S4h5tFZoXRKDwAeJKcdICfP5OffuPeQ//acfE73HmIKutSAERVGyf3DAYtXivacoS2z2QLDWEmJgTUNkiRChicgkC5Qnml4uLOYJKnkZpOztgfwWYf2PSAgOpdLrIvhUTTKUTz3/EvtsU+a48S8Tg3LjJpMomASOxyx1JCDIklBdASUIruOlH9yEZoFjGxM6hG+Z1grbLVguTmhXT/nx+2+yv3UN6cbcvPUKajxme3vMPDjOfaBDs+zOUQhMUdPaSLdKuv8nS0uIHq1r9u78gP/mO3/E8uQxP/z//Qveev9tPrl/wqo559rVAybbE3Tw/Ls//1fs7x9SVSOeHj/l5ZfvUJQVejSmLCoskdFoh8ZLruwcYruACJHHDx7x//mf/m+MqoK///f/iGlhGVcFMix58MmH/Os/+xdEe84PvvctxqMSfbDP+fmMrvN8fP8T/vwv3mTn2ivcvPt93nn/I4IpeOn117DRY1TB7ngK/ozdaU2MsGo6fCyJXlBIjZAKFyPOOqTK3KoAoSXKaLQuEErR2UDTJPP4dG32pJbIpunbSQ4vBKIPdF2LFNkkPI/V3luk99EgA9/DNRk8bsNsvJ9PB8A/z6Opyg+EUBijadtkcN52LUYbyrKkqmpCjDRNi3ceKQRzO8N2DQiBkirJ6okkx1Xv7AzXhBSCsqqAmMilZknbJDBVG0PIXiJCJKIkhog0EmyXKv1iuj60DGglEUZjVIVz4DqfiJmmYbWc0bQdjReYcsR4NGZ3f4+yNNSFptCCtkleFV3TQoholSp6Wp/ksrxgw18hDhU5oiceWWegxJCvO5GIhrUJWboCkzzY2uuFoboHYiD5QEk5bNv/yxYmG/swkCDrdWWq9EDIfKUn2TYFCJUSBIII4EPyZgoRqRPhE3xEiOxDJRXRe0SMGCky8asQSOqqSHOikkzGBlMrrC1YzRZoH5nsjohR46XFAlElHyjfLGiXRzxdnrJqJK21NHaJi5Zlu8S1Hb6z+K7DLhdoAqdPHxN8y87uhCdPHuM6z8HuCBkW2eupZDI9JNrI9s4OV67uoeqS0c4+ewc3ONg54PHHH3Jlu+Tg6gEnixWF2scEQ8GcVXuEqAxNNCwbjRCO997/Obf27tJZA7Hi8eMFpyePuDYVzFcnPDl6yvHJKTdffYOHH3+AY0Irk3+cdI63H73D3Z2OJ48+oN7a4/6j97GdZ3Y8Z3dnyh///p8Q/v/s/eeTLcmZ5on93D3UkanlzatVaQUUZDfQ0z2zYmxnyOUOhzQaaWs0/iX8G2i23/bD0rhGM9qyObM9M73T2wLoBhqoKqC0vFqmlkeGcMEPHnHyZN57C7cKJTH3Ncs8mXEiPDw83D083ud9nycquLd+Hyn7TNXmiNE0I8e929tcuvw0QmW8++avWDo7x8xCSLtVJ8wFr/3s7+n1V4nUAju96+ztF7RbZ2iEde6vr3H1o9d5/sULnJie4ic/+AHbuw1u3urRrAfc28kgbkFsya3BpJZQSZ+F5GT5ePcBKsK5EgDx84On1ipp1ZyfV6yrEhgtCAPOolxUEqs5hDD+x0U4IUaRWc6Ccj5fUjhPaWcAU4DIHXFgmGoK0s4W/d17PH1yimvvvcWZM6fR+wNcd5vu9hrnLi4iM8fO3gF//e9/zsmVs7z8yitcv/0JW6t3+eM/fpVuJ+Wv/vLPWVhcYSqWuGGHg8EGz56f4cbdDayU1GuKzm6PqfYSjUYDm3eZW25z6+Z7TMwKLl2c4rsv/SuufHSNrbUr/OB732ev1+P13/6cWjRLv2t49sWXmT15jrsbO5/yXH5iT+xbaMfXmk+iv739rib4XKDIt9d+5+V+29viUaDMV2li9Ouz2Zgv5FML/0xFP2z/cS/q2JeyojgYLVr59neIJ/bEvi12fKyKIx/+b/GQ748BJRVd4u8AII5MU0eyE8b8sJVz/vj3Y9vFsWMeXd+HXNtjmRtdV/Uq76QcyQO40u8pKpZsd2zu+ibNY6O282CIGHM0jdrxSNYIfOqcP56t89Dvx/d7TBs9h8RY2/0nkjGCLcqIAe+GjeMYa13p/HYUWiOCAGwlrF46lKVACOUj6uGwwUuEaTwjwQ+skjeNQ7Fjv/+4dOfR5ZooHYCmyEEFSOUdkkpUjigQSuKcxmqLUDA5PYFzLZyxDNOULE3Z2d/F7m4TlBHPcRShwhBnvJMuriWlILhE6xRtBgSh4czZKc6eW+Anf/wq29tdbt+6x52769y7t8bP/vrv+MXP/oGZmVlWTq5w5sxplk/O0ZiqU280OL08y+nTp/gnP/0jVle3Wd/c5+NPrnHj5j26vSH1MMAM+gy1oVaLiWTiQQsHrVqNtN/3dCaluLONIrJigLOCMAjpD4cUhR6BHSPKsrHB49xYpHLlKCypsiqeWX+fKYVcRZlR4Z0poqQI8jz7Yiyy3fcXn1li8IABpL0DgqBGq5mw189xJkVJQ571mJupM9FO2NvWKGFJ4tBrfQB5XuCcxBmHNT4qWsqEIKqzs7NHq14biVYLIZiZmcGNUuYkMohI05RKoNo4z5nuRgs+70QUzusLVJoqlU5ENdil9JOqcRrGnKiUAu0Ogy1FrgUWi2Ek4i4eBYB8moCfK8HCylnrzynF4Thw1XYBUoUjfh6HxGgwWqJcjUyE5HnMxOwKAZo87dLTXdJiB1tPGLoB8VLEIM+YbwUc9O6we3eftNAsnDhJHNeYbE1D3ECLmFQb0kCRSp9RlmlJEEZkWqO1oLtjieUcf/q/+2/Z3e6ydu86u9tr3L17lavXtkhqAa1mHS33qakd9nfW2Lj7LrV6gHMGqULml89Qb8xz484W0zMrRHGLRq3FXHuSk1MNGs2E/u4dsAOmTq9QFDnSpszPTJEOHIN+j/XVVVqNNpOTU9RqbU4sn8GKXWTS4tKlp2l3+vTznJvXPqYWShLh6BtDgGP51EkakzPIqEEnHYCpIVHgvBMyiIKS7shniTirSbMB/Z1dstxg8WLqcahoNeuoKCz7kc/2GQz7UM6pXsfC32uBJRCgSp0RY4zX2QhCpKoop3yv9FQ33slJOWb9uLPlM7MCTKp512ubxFGItYosyxgM+6VouqDINUWee0BDeaHmZr1BFMcY48ESFSpCpTDOofMMrTUahy4ypJQEKiQKFFobjDZoqwnDCKzGOohK4MfTLx1mWBhryHRKOuxTmIx+t48zCiFikrhBUqszMTlNW0pcmCACR6AAKzDa0c1zyJzPnhgDfg2gpAQRIJXxQLE12NGzp6ILK7O6Ru+BPiBAAAY9asfDjJFqsWGosjnGM0x8nEABDk8RKISPsOdwfh0XZR8900bIi/R1FXJEa+hsBeQ6pPB0gShLLMt5BuMDAwL/v7UWUzhM4XwmsfZzVDroI5whChTDfpe8MBTG0Ovvg9Q4nWOylMA6srSHkGBK3SVrLNJolM2xOkCKNjIMiWsBIpJIaamHiqhWoxFPMdFoYHXO9OSr4DSNZo2tzW1ajUlOLy/QO9ggTuoYESCDGkWRQzFAhYJCQmeYM8gKCj2g3oiwhWZ3e4etbo8kNNihQw+2iWqGXBraMwsYEzJIe8RxQqiaDIcQJHVa7QZSCrL+LTa791hZnGZQ9Nne3qY1vUwoJcVwSGAUaa9HguU7P3iWft9x0EtpTAbs7dwnqnuNnY/fe4f9gz2ee/4i2zt30fkWe50MO2hzauU5rHZEQc6JhRppb517Pc3U5ALX3v8EaSU/ePkZVGy5c7OBtpp+NOTm3fvUArh06jIL7QWiWo2P3n4HqyZ59ZUfcX/zdRr159AiwBQlnZzU5XMg8H22eiYIe5hoiKfQsgAupNKtceU84sMFAoQwVKAK5TGoHCE1WIlzASWOSeQ0IQYpNUVg0C4Gl9AKICz63Lt9g/hEm1ZdMRE1GK7ucGZqmcn6NMN8nyBssDJ/iTMr8+xtOfI0ZOH0SYZ6wI1bH3FmfplGTfKbN/+eqdlF8txw89pdmrWEs6cWCWPF1Y8/4OmXzhA0LVevbXDQtQw1dIaOnY11nv/Bj9HhGjdX36af1bl8KSFuBuTbDd5+b42nXznD8oWLfPzBNkpMM3PqVTI1xXY/fsRz+Yk9sSf2xB7DvmxA5XP41T9z+b9n/Ufi698Up1NlXxAo8qjAts8kzP6ZTjj69eUUP3Y9rqTl9GcsF8YCnBNl0CwcETB9Yk/siX3x9sAcIx6cB0auveNAiTj6NzCKQv9dAOp4MPvI+f4QgGMMEBHVcePOdvGI4z71Go9d3+OYq85XBYUBtgRIKOetqlRjRl5RRswuY+3zdc1po/tymCmCGqPPOv55pK1Hvx4slkd/97mAkepcFcCGGEkTPI59y4GRQwoUjPVc8UJgjEYKyLUuMy3saDf/IUaeO3Gkkx3tbT4C1x1FL6vUqyrieYRIHdqIE1N4ChEnxChiXkrlHYiqVMYV0jumtMUa7R0GoaQWNag3GxitvcO80Bhr6KcDbKdAOlBBiAxC4skZtNE4Y4nCCFdSvVg7QMmIudlJZqenefGF5xkOcza3tllf3+DmzdvcvnGNjz54jygKmZmZ5tSpUyyvnGBqYZ5Gs8nMZMiJk+d55ZWL7B8MuHnrHnfvrLK2usHm5i6DdEBhCooiJwwimvUQXQwIw4jU5lhdIJEYbUtu9zpZaig0JNILtHuA4igA4j+rdc14Ax/y5FcpacL5trTWjQFU/igfEe2dfMYahJCowKd8CQHWeM2AQAmscN5BqjOsyanFAUXWJ0tTwhCEtISRpNmqEwQ+Ut5ZH11daO0joZUoKWAEtVoNYyyBCMto97ys+6GjUQpBoQucEJ73vFrilaDdEeFqKQ6DcZwr09YkwrpSVwCUkJ7yB0YZOaMzjiLUBaZSD6g82McCbx7bxoCqwwdaVWU/ibryxze4RVhJKIJyWAny3BImdfqFwRmLUnXCKCFJWgTSYl3GsH9ArCxCWfJ0gDABrtthc2uLtfv3OXnyFCqMaU1MU2tOUIvqZA6iqE4qJakBghirBQZBnsOte5Y4qrN89nlOnHuW5179Y9Jhh15vjzwbsLOxyv7eBiKeRwU9RGDpH2zTqAve+81viaIG0zNLZDuWeGKGJDLItODZcwvMLczyzntv8Oab/8Dif/O/ZWNtC7TkP/uzn3Lzxif89o1/5OSJZUCysbHOP/zDL6g328wunWXjIOXv/uEXrJw7j4wkrUQg8h5BkWP6HdbX73L/6uu05heYP/MUNpwmM3WMbBCEEcY5CmsJo5AoDsizgiJP0caiVECz2Sau15EKAiFRzmHKOdI/0xStZtNH61tLoBRBGCGlwNoyowJJGEpwgQfsLDiM1/UpAbUK0ABZ9kWfMWdG2e62nLq9ULtzttQi8SCJELakRgSEZKLdIAwmAUdReIAlCAOUEkSBKo83ZFoDFqUUYejp8rTRpZh7QRAoklrkwfPCR6ALIVBKYm1OUThwhiwboo1FFxZtNUJagtCiAsniwjIqiAmDGlKFHuc0BuMMhc0xuaHAomRAFAbIwGdUWJMhRYgkLJ9LFuGMz7SQ1SAUgBotLLy7WPqxXg1U5+m7cI6gAjKOjEt3uK0Eoka0j64UULcaJ1yZHWLRxoMVh5kiDm0sptxubXl8SZflxe4t1noKM6M1pqQm821tMKbw/UpS9hMPUFd6MDiHlF6DIpSCJJRkgx6hctTCAGc0tUadMAhoN9tEYUioLLWaopmE5GnG5MQ0QRSAMETSi7PXw5gic8TJFBbITe6bVOEzRfKUOAhoxBF7O5skcUiShHS6+wShoNlI2N7eZNjrEMY52ilUMMTYgmJwQH/YZ+7Esu/LzmJ0Sre7TYGlHc6Q1OrEQUSv3yWIFGGoQGkcGosmHXaZbE2SDiyCkDAWdHpb2CIlDhT19gS313cJwklqjUUGQ8PsDJxcmaewlv5ewFRrhs3Nj5hoD8m6d8kGBZELmJyZo54UHFiDTS397dus37nG/jBjeuEy/WCKjYOYrLtDu50gipyDzXVkWOP1n/+MhenzWGMYDJvk3YzF+ZNs9fbZ6R0wN38CaTLmZ1q06wGpzqgpRYEm731C2t2jEHskrVcZmlMY3SQQERrfXaveLfEAv3CqpIXzT2yF17gaPY7Krj565knnMyerkSJKp0j5j8PvL8uyhBNYEaKFwhAQKXB5yu1r7xKGPVpJDUmdC2efoVh/l07nLp18jemJgFajQUM1Wb+3jjXLXLm+gatNcfLMPCIbcLDXpxlP8ZN/8mfs9fts7l/lzq01jI3ZObCcPXOKtftdVs7AwnSdja0NGs0zhHGbWnMKub/GL3/1Ok89t0zbKNIdwZ17tzm1fI5husBH167Q3Ciw6iQT8+e48vE2b36c0dP77PfDz/GwfmJP7Il97SY4XJw/joNj7H3z0QXyLXACf8FIzKOK+iztW72+f6Pb7Yu3w3e2b5MdfUE91Mer3jvLYAmc97mMxs14oOC37Zqf2BP7htqRLI/HA0c+HRipvjh+zKPOcWz7OLghxs8z7qAf2z5y8h9z4D+qXp/HPzZ+PHD4ZiMA61/rnQ8WFlUwoquAk2PBidV3X5dVbSpLCjIpRroio59xkElW7fvQwh4o9tHnHdv/d96DT9lBPv4N/FYDIxXFCcbinPbO6kBhjBe21lqXO/pfwjncOAWWLwQYAzMeWCE9pDOOZ5g8vGKj41w14GQpGC6F14hwlBz2FooCJ7zDDeEdbBiLkwEqDIicRcQRQeiFrU2Wkw6GpHmBw7K+uUG90aI1OYNzCqwgFAajC4wpsCYv5wBBs6VotBY4c2aBl156imGes7m2yfrqHmv39/n4/Tv85jfvkySK9lSdufkpTp45ycLSMrPzS3znOxd45eXLdPf7rG/ssr6+zt37d7l77x7dgy6KDJ1pQtVEogklBKFiIDyFSlivkWUpReFoNEIoo53Hm9X/7f+xtkJLDxtbHBlUopwzHLbMDAJ8ZHrJN+4duhYpgnKxJMv+IEdOFVGKqEgcSvkI+ziUWJNjTEYUKowtsNaQJBFBGJTiyhJjNUJAs1XHYOhnPazVDAZ9mrUaSZIQhuFIn8FnrzCKBrfWoa1hMExJ+z1cYFHCoFQZoV1y9Avp626t8V1MKkQQ4qzDFHnJ2V9Fl1cTSUld4ryOQ6QClCjp5xDlMnJs/2P2O6m0Kp+Ub9GRxk5FWSak8s5WW4rvCh9pHlYaJ7J0qlpPo2OFxgpJbgXC1XFG4owlSeZRoWPo+gxNl2huiWa7j8l6LMQt0qKP7e+zuXEXXWQYndNo1FlcWKQxNUskmqioSRA0UEkTS4xBMcw0g16OChXGWaRq0ppqEoYBiyefxuQ5aW+fQW8HnXZh9SZF2qU+0aAex4Bk0O+C1fQOEkDtMwABAABJREFUNpmenKQoCpIgZ7adsDjTIBQpenjAlY9v8uwzL/DCc88QhYZrVz7ixImTXozbSe6t3mNy+Rx/9p/95/zm7Q8Z9veRqSFyffa2bzEYpkzVYly2j3SSzmafPO/RmjtLa+Y8uYO036U7TMkNxEmDWq0Bzo1AAgcMh0N6pQaH1TnCGVzpzK4yqzxQoDDGYLUu6aziCtvyDm3hRkLa1vrsL5BHxNPzPCdNPVWXksrfb2tQSh6h4ar0goIgIIpCn3UgbXk+n2GUZym6yAjDAIGi0DlFkRIEsgRkykwUygwJr0RAFAbEUUiWZaRpitElYO20H3v6EBCw1mCMxeG1EQIVUW+2CAKFVA6U8XOwluQ5pNkQ5wa4MptDSkeEweocrQusVJggwIkKmHVoLbBGgbA4V+CMRQqJKLVXrBNllhujjLpDPSA/JzrrfDJQmUl2/CXXPWRbtb36rMboce2m8XE/pgZTjmdRSq+U86USBFISxwKRBB70kYJASaRSo88qIEBKn1WklCyF4RXWWITVRMrPC/mwQzMJCLAM+10a7RZWKNI0IIlbWDsg1wcksSQfFASiTqgkuuigyBAuQ2eSIjVYs412jjTPSeo1htmQIiuwuqCZJBT9EgRLC3a292m06wih6Q/3iIRABh7UiUOv+eUyy4kTS+wf7JMOUohiIhVgdU6zHhEKjYologgJaxFBTSByhzY5MpBkaRcnFaEwNOKYIjMgIcs2MLYgCWqoIiDLJUTTtOZO0+1alEgp0l1cmpL2dnHZDjoYcG/vCnbBMVOX7PUHRLUJ2i1LmGQo53jhxRf45M3XmJzImT/bZtc6rm5v8tLZ03TTlIO9m+ztrtOIYzY2Dji9fI7p6dP89s3fstdpEyWQNBq4riMd5ECfy2eXyYbrdPZ73F7bZmLqDMoo0v37nFkI2BheZc+FNMM2WVbH5QpCn9XjZwgQzuvGSCdGz3NRBj1UkVNHnVY+cxJhEVL54xzlE0f68eCk31WU+UkCrAuxSJwzBELQiEDYFBX1WVmZoVWLyQegZIBoSoamT6uVkOddkulJ1leHiMJQjyPe/+Aei2cvc+LEMk522e/uUeuHXDp7mk/u/hqCId//o0sMBynOCG6tbjA9e5m97YhesYuyk8RRm+2tLnHcgrDJz375NzglmZk9icARJSFhTdCeiznDWQ66EffXU+amLzO7fIb9fp0TFy6z/uEHn/JcfmJP7A/AvvGO/t/DRs57eKwI0N8JjpSFlgEQn6ESj7nv5zHxkH8f5zq+qFOPXd8jTvmH2r0ex0oI4euuxu80fysf9X5a7lH5WqpM0kowdvT1eF/45l/zE3ti30j7FADk6FePAkY+rYyHeaGOOdaPH/uw7JAjmSTi2HnH6nUcHDlSgYcAI7+viWN/lwHdfr4qWYpK8KMCSKogsK8dxC7bdUSTXmWKqJJGawSKHNV0Gd2JT2u+4/3kUef/LHX9Pcv4VgMjxugqKwmsIQwVYRSitfGR06YUGy4pXETJhz7qYsedSWN/H03ZtF4oR5R8+H6H8rtD5/DhILMjAR0h1dHTuPK8Uox2Ha0VywhqgfP0KkrgkARRdOjQshasIY4C6o0GLqlx9a//jvtrm0zMLzM3f5qTKxeYW1oiiAXK5eAKXJ6idYZD+2tQkCSWuBYxM3WKy0+dZziEfjdle3eH1bX73Lp1k7d/+yFvv/kBExMTLC0vcfLUKc6eO8fi4gKXz89x8fIJ+sPn6Bx02N/e5datW9y+fY8bt+6wtW0YDg68A8wWGKOJw5CD7j55lkE9RghBWF6fd86a0mk5RmlWNtlhcEgl7itHoMhxGzn4Rs77UoeDcvCWUSZSupKn3AMo3qnnh0UtSXxGifWOZSUlunQkGl1gtEZI0DoljutMTjdZWJwjtxnd7iZCOPI8IwnrRFGEAIIxPQZnfVR7BXQM0yH7e3sEyoMySVRDSokKY1QQlE7oyrEJwhqQIUJKpBQ47fwCsHQSW+f7kZAKDAgnCFWIMBBEAboUbhdSllp4n+WFqnJKleNClPoGJYg1An4qx6sTh8eVmidCek0UJw2udHgZpxEywNqqdIlUoY9a1w7tAsJkwrdF0CBsTpNML+BMBiZnf3eLzu4Wna0N+t2CjH3qBxlFUZClBcuLK2SZZXJ6gTipMdFoQi1EqIDUODJtcVaRpQbjBFJGhK1F2u0FlIS5cy8zHAxwJqUYpty5eQWddVjv7ZGEjt7ODhQ56aCHkpqVxTn2ttZZmJ2i/kITnORgf48Xnn8WXfR4//0PyTPHs888z+LKSW7cu0F7ZhaKAzZvXidN98ENCIRBWMF7128wPTlBUk8QQGIctTxjogZqok5hJE4tEMQtHBFCBD5bSxtkCLk2GGt8+qbwDkqswRof4V8BBKaM5q8Es4UQmHIfT2Wl0NphjB4BHJTAQuEOk/mco9S5qPgnvbaE17pw5Rzt7TBbwYNlFbCtlEIKidOF1xdRkjCIfBbCiBLPZ3wgHEYbiiL3dIRZ6ql1hNdOSZKEKPLaFYPBAGstcRz7+sOov8pAQu7p8aQcYJ3XPkCALgyCpIxY0zhRgLRYo5AOEmcwxRCURcgQ7RQW4+mPpcQ5gZIxUvhsqFDFno4slGWmjQcPQPmFxygazjuHg0CUo0/6MaKCck3iQQtPFekPU/Jw3FULlQpMVqUOk99/TOsFP7d6+snqeFnWSeAqCkrnx7scWxSPKPVwWOGQroJp/TxROb6VFFhTIISkyAtMkWKsRguLQlNkBcNsgHSGfkeTW3C2RSNu0+n1yPIerpkgRegzfIx3fNsiRWIwrkBIh5CaJAoJQk8tt78/JFQhtaSOcJYwCNGFRpuCTKecmlkmL/oQ5mhjiGKFDBxIn4lkTEq3qz2crDWFNjgBSS0kriVk2QFIyK3BDfpI5egNOrSbMSoIcYFgOExxxYAkTEk7W6gkIs9hoj5D3snRg5RAWiYm20xMJ9xfu8pEUyLEkDztsHrvCnGYIXEsLK9w6dI8b//jz5ifPIUuAvZ2+jQmDd3uHtevbGFNj3OnlzHNiPvXO4S1abb2N0h729REyrnzp0hCA8EG55/6Lh9f2SIrCk6fPcPO/jrvvP8eAy2YWVwEN6DbWSMJLaY+SbvZpNeHMBKs313n6dZpGmHGTvce7YWUHdMFmlgFSFcC+44olNjClYvtKptIg/JzPsLi0CipcNaD62EEhbEoFSEdI2ksIXzwRaEN1gYoBU5YnMyxBEjnaLkDFuoR6f4BvUHByVPPYLIDNm7fZiay7Ozc4/xz5+hkmxg0Wd7l3kaPZnuFxYWzXP+4R6dY5ELzGX712n1eefV54oWn2HWav399E1vUOXfuDGfOzpIX8MYbV3j3/WtcOvtdnKvT2eyS74XMLNZwoebOzRuENVhceJq8P8GVtS1qjUnI+tzJttGFpZFMceXWTeqNk5w6U6M9Jfjwyn3W7hdsrl59zGf1E3tiT+wbaZ8Vl/i0/R8LOPmG2O9Z1890pDiCrv++pf1hWQXOfdPb4HEcWmOgSMnx+qCvbQwo+daMlSf2xL4R9pDxdASUeJjz+7OAI0d9rkf3Hz9ePGT7OChy7EQjEOQ4EHLsuIeB+J/FGf/YNnpR9uVXmkhl3KNz/n9B6eut9rX2aDGf+kz7oqv7EFAkUCNtEfGwbJHR8eLo5+eqw+9RxpG6PP5h32pgZJTOA2AFQaCIo5gsLYjrkeejHxeWFmX66EMfmBX/vfPcSNUh5TMWREllJA87dVnmkYifakBVZWJLwMM7lTydidd38PW23vHovH6Esz56WwqBcBYhFF4kuwRirEUohVASnaYEQcALzz3LqTNnuLe6wfWP3+O9376DcbC0vMRTT19k+cQitXYTKRIoMqwuMDpHKU/j5azFypR6O6LeqjE1f5KTpxd4+eUX6R4M2djY5Natm9y+cY/33nyPKA5ZWprnzLnTXHz6GRaXT7E0P8vS0gIXn7pAmmb09rusbW7xzjvv8d5777GzeY+1tTvMTiSAptPZZ352yTvsR419NFL9UOeluk+H0exHtF4OiTcePGZUtPPOdilKMKrMlnBeGNxPjYJKBcNZSxxFVFE1tVqNOIox2keMK1keJxxpOkBKQbe7x8LSJJOTNebm25w5eRadGzbvbxJGHgCJ48hnpJS3XylFrlNsSVvjxdS9I7uvNUVuEEE4isIPQ1U6byHGEUR+UgrCqOxrDqmEp9NyhafJ0Qa0RsSQhBEgcNahhKfiYqQB8BnMMQIKffuKw/4++p+xvw+v2etQ2DLjS6DCyNMgOe9IdkKA8s8C6wwSC0oghQMZ4HDkxuKIMSQ40cApjVKWqZVl5k45MDnFcEg27KOzHrvrd9A258rVKyXt2oB6ErOzrukNh8zMzVNrT1JrThAlLVTUwDhJXhgGRY52gmHh0AaixhzGONqTEc/OnSOWBYPuFlZ3ONhbRQ/2yLe26Ha2qDUs2+v3kSImqU1Rq7U4OCjodDcIw5Bnnnmavd0uH3/yAUmjxdMvvUpnf5VbH3/MiYVZmnGBxTAoMu5t7JIZics0H9++RiuMePHyC7SihL3tNXT/gIUT5yisIB04rEtQYUIc1YiikN5wiJKKOE4oKi0aJxFW+fmmAi+qaIVj48gYQ1GU1EgIotALo1cghhDeeW5LsLrS5/BAZ5UZZLAljZusHPOi0gCipM6q6PLcKCJMSogDP8+mqWU4zLDWEEVeE6TT6dDpdjBGEwQhURwRhIqpqUna7QmkLDVVIk9r5Ywfb3meo1TgNVJKoMVoh0FTa0bkuReHlsJhrJ/XlQSjywwnHEHkneNKSIoh1CTEkWWYG4yFMA7p9Qu0MzQaCdZCnkOgNEoWSBFQT0KckOS5K7NFBMYApXaSbyNTruHKedB5AMOVui6Hc2E5h5Ug8vg7YPXoOqqjdXxsO6wrRd1H+5dlCw++VuP8cNIQx8DPQ1C7qu/4HAACa/A6LM4SCoEKJFEgkUbjnA90kOULrrSWKJakg33ydEC9WUOoACVirHGevjHywJ6xGqkEUaLQtkeuc+KkTV4Yer0e505foLt/gLUGGyo63Q4qgCSpMUyHCKWQQYjWBRJHLVD0s5w4aRDEEYHTDLo9anFI6HymlMTRP+jSSw8QcRshm4RRSK+3T60e0p5o0BkUxFEDlUgun1mgs3cXKVdZmluhbwI2t+4SiznOnV1mbfU9QrkPxvHqd2bZWL1FEjmieoPJ2RnmputIOhR6yP/w//pLppKY4cDRbjXpZTlhXSFw1EKBkQLlFDaD+XqD2eUTiCLg+vYOZy7NE6kh1qS8+L2X6fUd+wf7TE1Pcu/+OvfX76F1wvnzT1GIgnqiENkO1tRYWx/w8Y11zly6RK1RY2LmHMOe4vbqPe4Oejx/Ose4A5yIfHajtOACHGCEQGOxEqy2hKHXFur3c5KIsk01TlsiJbBlsEQcNbBaUmhHEgmcAekURT6k0Ia4EZB76RwkUDhHIg2qt8pwf5O12zdZPPsj9tNJunspk2qP+XlNd/c2e71F2vOXMcNtpNHc3LjFqbMv04yeJpyHqZOw26uzuhswsxMjopbP1OzXqKuIycmEt975gMm5Ze5t5GzvB+y+9QE//v4r1MMJhp0NBrUBg6LPqTMn6KSad9/9hOn6Ir1OQT2JqIWKrLtJq9nm9u27/OjVV7l5d497t97hqae/w3AQ8otfv0Y7bj7qyfzEntgXa98mp/sfsj25BUftC+iXFdXwk6b9JtrxKPTHOoSjHNJjwNj4WvUJOPLEnthj2jEg4chXYvTVY4ML44DK+KbHAUaqnY8538VD6/cQAOQBYOQhYMpDTvmF27j/eAz4EFIAauTR9FPXGFByBOivfM9f9Dw2BiqV9TyiIaLKgE0VlD74B0GRcZ/uFwIwfZEAy2PYtxsYcQbndOm89g7XKIro97wDMMvSykNXZm6UHVAyxufmy3JQAiLHKEgcJUVMlaFQATGHPNcPdNCKSovS91g6rMFTtDgjENanIXn6I++o9tkgvo6unHAqfm1fg8NBJHAEcQBhQHuiRZBEzC8s8PzzBf1Bn83NLW7fvsdf/sVvyQrD8tJJLl68zMWLl2ktLhKFIWQZLhuWYuAag+f1t84SJeCEZr7e4Oz5F/nu955ncDBgfW2Ta9euc/PGbf7mf/kVf/nvf87c8jyXn7rM0888xemVU7Smp2i12iwsL/DcC8+QDf8FVz/5mKsff8ju9jr9wTZ50at0w0ftXdHqPJAxIion3aEj77geif+3zKawh5PGUaegxVXUHWPjVeABE+NcKdruzxVFXuB0OEhJkgSpAhwCpUKiyDuE4zjAmgKpHEIaEJosL8iLAY6CdrvN7Ws3qdcSglAShIpev4/R1gsFS0k2zD0oJiBp1qkHMcIUntLH5hhjKXSGznLSwF+XUpIsy4hiTRAECKeQTnpHt3SefquM+vaqyj7Lpp4kREFAZiwy9Fdvy5Sn6rofbscQ67JzuiMgIPjI8kPH9uHOlXmqr0BIHBJjBVYL74gNQCq8Q1iBVT4bwAqNo6T9IUAiRxkw0knPUW/8mMgLTeoKpAwJ4xa1hkBJy9LpZ8AWdLv7OJ2RRKDzPvfv3cCEBR9de4tGo8HU9AzXr9/k9KnzSKk4f/Yky5MTHAwz6jPT9FKLNpZBBpI6kgCrodGYQakWZ86fJe9v8e//n/89prfNxZkV8jwnVAnDwYB+fwBC8/a7t6jXExbml6nV6iwtLnDQ7bK1fo9XXvk+yxNtbNphZ+sOKoqIdUB4aoJC1JFJjR/+8Z/S3d2lGdW5eneVU89cYpj1+PP/6f/ND378T5meO8ve/i5SxFinvOM/VNRqMWmWgQIZSJSURGGEEuVgtIdjrpqPlFJIKQkDRxhEOAe6KCgKg7EZQaAQMuCQnsnTZNlyxjNlFpgKFYH0VEtj+MthNpyzFKWWkjGHGSVeZ2lA72CfIAxGIIsQgigKiOOYyclJavUaCDwAEscEgcRaGA4zDwACubbYQvs5VwjCKCEvCrJB6usY+Owm7SzbO3s06m2EC/A5KQacIM8FtThBawiCDJ35sZ7qgGZ9iqIQ3Lxxi6XleaSqc9B3BGFIrDS94YBQRcRBSBgKirzP22+/y9zMEqfOXSQryqwvFBAg8CCipQQSxwAQicRnX/kxdqgNctimsswMGh+D1feHAu1jcyRVEOHhs7GCP4UQPsPLuTFxeKDMxKxGt99+FGit1p/j99xnqVgCUQqz6xwVRiC89pOSgjz3NG71OMGZHFxOnJRzPhG93pA4gDgyIHLft1SEFdDLeuRFjySpowd9pEhYWTnF/fv3WZyfZ9Dt0O32qNeahLF/mU5zy/bugOnJBZpRG0xGv29BxQz6lkgKpM7J05x6K0IK4ZNDi4zZqWmSNMJKhRKOdDhASUUShLSaNTY3u6RDS6MesrN5nUZ9h3NnNc7dRskpmouzBFGN+SlHO2lQa+fs9a/hCkW7aUjiKfZ6BZmbYa+rmJ1qsbrxW6YXLnJ6+RlW761TT6bp9zKivuHEwmlWb13l3q01loeWheUlvnvqFJ3+Hrv9Li++OMv6+nV29jaZmppHDQQffrBKv2dYOjHP2uoWG+s5l5/+KVLVONi/Rj2yXDh3EjfU3Lt7gIwbDHNDvrPH06fPocKEwWCPjfU+F4cpcbxEmtWwVmOtQYUhqbZoIEhCrHQ4Ixhqg7OKMI49IF5AHEdY6zM2LYIiE+hcUEtA1iA3FqVAqRCsRMUOpCNzQ+IgQpAQ4J+vs7U2AeucPj/L+u4aJpkmjA3DfJ0efSZORIRzJyi6de5c22dtvU996hTD4Fk+WW1y4+o9lp/+Adv3Njj1zAoTJy4Q1ptc/fAKgcuRtsfP//49JmYsCyZgYvZVphYPONi7z831TZ65MMHymUWef+pFCjlgq7PL/k7K9MJZLj71FLvb20RxC2xOPUxIRINaqMiHMN1e5mAv5MYHd9nb3eN7z73AtVv3eWJP7CuzrwUcGbkG/nDtD/kSxwMIq/+/cBtzgj8y++HTzvvtoJP6suybinl+OoXzQ+zIYrP8dcSBOPbdYYTeN/Pin9gT+0bYGGjwiKwKMdrnIQ7wI8eObxPHS3q04/uhZR4FPI7UYfy84/X+tIyRhwE+fI456HOag8PMEaAKJHSljwPnSlaW8h2/yoyr3tHHnSmf2Y7f47FtJagxninis0MEBMFRsISx/Y8U/wUAGsfL+grsWw2MWGNLL6oAAxAQJzF5nhMEijzNwPiMDee8bof3y4oRCjf+kBSyFMCRYx3MVlGvY47m0XHHnMWVjVI6D8vwLsLDgXyY6SnKQFyJEF5AljHKJO+o1HgUsaQEkwJnLDrPCQSIZpO6EmjtHZUTLcH0xBLPXD6NDGp0DoZc+eQ6n3z4Pr/+5a8IgpAzZ87zwgsvMHtyBVGLCJXAFBkmG1Kv1cizDCMhUIY82wcX0J5ImJ65zNPPPoUpHBsbW9y4eZ33P/mAN379K37+d3/N/OwMFy5e4Jlnn2f51EnaszM0WjVe+e5LvPK9F3HFkLd++Q/s7m6COYct6aRkNfCqe1ENyPJ/8ACS19kYb+qjk4GrOPuOLXZ9lLMG5Chz5LDoUrS1AkaUwlhLEIc4HGma0mg0EMLXUyAIAk/ZJkSAMYY8y7A6JwoljVbM9GQLawpq9dgv3KWjKDKSJEIqyUGnh3YFSkkGhcEhMNZhVUBciwic11Go1QqspqQJMVi8iLR1jqLQaN3312sVgfAUPDYAAs9PGKoQJQJUqRWhpNdcoKia0ZbA3VHA6WjbHcGvS6uyC0pOQRyUFFljt+zI8aLUNhFOAQ5VTv4YRxwqhACjffS1Mw6rPB2PEBJblmeNVzKRQuIVCkqGFqQHrgMFIkZjyWyByz1VU1cbpIB6cwlrhuQ2JUzqXHhukslWyKCzQxI49rY2mW9eYKo9RWd/jyDb4u1/+CVnLlxkb/cuTsQsr1xGB4q1+3eYmJpHCOj2d9nubrCxOkToHsvL89hhRKs9yerqBlGksE4yMzPDM89dZGPjFFeuXGF1bZ0i9wLc0zMzbG9s8d/9P/47ZicmOLk0y9REDJll96CLpsHZpy5x7fZtDib6RM02Zy4/zTBIePO99/izf/ZfMDGzzK9e/4Af/2SZy5dW2NkpMFZRFJ6mZjAYoJ2hMBqpvF6NLgqCMntDCf/wk0IQBgGBPNQAGf+pgI90MCyBiGgkug0CpM/Uq0S2jTUlduxGWjtaa4qiGNFpSekBFVFqjYRR6AGdIKARtGm3J1BCokJJEiXIQGK1Js1zcJa4HmGsH4tpr4tCYIUgieveme8cQgaocszLEoQNRYCQ2gOxSFSgqKmQdrvJ/l4HhSFJQnCZd7wTQGEIKMD0wR4wNdlEUCdLUz54/z3u3rtJHL7A9MwKkUyQWHQ+JFEeABgMcpQYEMUpF1YmqTXqKGG8DpJUIAKs8/WzTnhqs1H7V6CCH09VIEkFdPg58hBEHgeXjw/vR62lxLhQ2Zh/Y0S3NZqay3MeKbRikrQ4xjRrpG9zhMMUGmcLcA4lTMmxWmorhYrcQl7kFHmGUiH1OCDLD4hrAdpZwqTFYGBxQiKVAXKGaQeMIak3kGGAcxGtiVnSrEAQsr/XY3FxGSEVhdG0223293cwzlKLmkgFvWGfVnMeqxNSbQmlzyqMkzrpUJcLU6+bEoWSvW6HIAyoBR6gW9/Yoh4kpEWXgARhNNZp7t+7SxjWAUgHezRr+ywuwsbmXeZm5ynSLlF9kv5wEykTgvCArbWbnDm7xJvvvQs06StN0jrPzNwcB1tbDPoZg14PJQSr93tkRcLNO6u4YsDanXsszbxCP1O0ZpZJDeS5QKQ5u3dvodoJm6vriAhmFk5z7foOSVInrk9z+8YnrCyvQKPJzt4mw1Ty4z/6EW+9n1Ok17ny8X2mWg0Oen0sAZ9cu8bsbJPZ9gwb61eZWprlz54+wzDbQ+TTKN1GKIMUBSEOFSlyCU44siJHSkmUhGQDCCy0a37JJPKUehKQ6xRtFK1WRJoLsgzCyNN3oS1aC5pNxUE3RwtLqxHjcodJLfVYECaOVi0iLwLaE22m5pfpphJtBNBCtS3v/eYKyf4d5meeY3XVEDUv0piep5cvkqYRm3sFJ0/N8tzZU2xt91nbS3EbA6Znpnj67BlWrw8JzDlU3Gdr19IfSp575Z9idYd0cBUdbDO5MMGH1+5hZJ/zz5zj7uu/obtX8Fd/9waLC3MY06e7s03e69KoRfzoj/6EmfkLXL+5w2SrzWCwzfb6VZQs+NM/eoH/+8OH7hN7Yk/sm24PZHg+hj1x5I7ZmBNs5Pt+SPrHA811+B5z+C7/WU5bHv9l34bRQu0rONcfADp3BNwaD8o7EqD37b7GJ/bEvhp7CNDwSMDiU8CF407x3wV6PPSYsXo8sE/19yP2Ha/3OCByBKh5hLP9USDPl2CiBG5cFUhQ6ipX4AilFqgr/dOVTMO4UPthJslnPrn/OHI/q3aSI4H1ESBSUnuPwBJxuH91HQ+e4/dsvN/n+COgz+OX860GRqT3sYxtkDQaDfI8QyDQhabIclQgEWifPFIKbvvg2rGMBBjdgHGHkpPlOUbbxpt3bEExBpiU8c++XK80ilfKlfiIeu/SqjJUxHgHd45xUb4H+7pAFwVKCcJ6QpWdIgKJEhDawIM5xqHzFCENE80G3//x9/nej39E1h1w/94q127c5D/+5b/BWMvs7BwrJ8+ycvYi9elppIuJ4xrKDSh0QRQFaF2gzQBk7sV/pePEmRbL51/lh3/6ffa3t7lz9w7Xrlzh+o2rvP/eO4RxwvzSEk89/RTnL1yg3ahTazd46vLT/PLv/w4nGP1YHKKkU1IqwFnhb7A7vB8VD75z9hA9PW5j2QtH6Zz8AlOUjPdudBcdSHDmMHJIKUluLaHyAz/Xlok4IgxDlAxx1nox9cLTngUqIIoiZJmV5Eoqtp2dbWZn5mi26rRbDfIsx1pLv9/zmiDOomTo6+ucdxRnOaJe8/3IWoQrtQAiiZARUvnjrPUZJ9Z6UXtrBc6CsXqkBWHyfAS6xQLc0DGI5r1jVZa0V6KMQj8eWHPMqfrADlD20xItLoWuR8OiGj/Ojebtw9vjaeOsMwTSEYUCRYY1Bc5qZBCgLehC4KSPwHYixFlRirjLI3U2zg8l7w/2X1gMIzFuoQgbCUYbBrlByRoOhbWa3mCfmzdvIN2Q/s4q6f4WQqe4LGNueoa5hWV0v+Dqux9y6sxZCt3jytrP0ZlByZC193fJ85TGRJ1U93n5+y8xNbXCL9auMcg9eOCEYnp2ge2dXWQgyYuc5ZUVrl29TZHCRGuaH//4e3x49WN2utv8H//P/zeufvwJv3ntV5w7s8SzT19gYvok3a5htjnFhZ9e5Odv/JqeSanPzjF37izre1329gbMLazwkx/P8ctfv8GJ02d54YUXyTJBXkjiWog1LQqjUWHo9RGwI0e1tRaMxdlSb0QbsqIo+yc4eQiM5HmOc/5eHPR6GGMIAk9rVYGdcRJ7EXbh+5or57ZABUSh1/WQgdcnCYIApeToOeucx7pHuLX1+iV+3FvSXIMu+1IJDqTdPkGoiKIE5UrQWii0tXjdAskhaZwAC9oYT7MVxVjrQZtCG/K8QOeWRhQSBjG97iaBypmbn2HQ7ZEPByRJiHMdNteuMtM4iwIiGdESu5yc0ixP5bSaqRdbR0NswDlkJOhlBb3eFr2DLZbnFri/cZukPg0EI7DB2lJDBUcQBCVIWI6raqA5/4w5qonlB1wF9o62HQFIRJlBdxwMLcfr2NQqRpEjh8O70hQarTPHg/B8KWUmon9gSqVG+yiF11yx2otw2xxnU5SwKCRSOAIhUVFEkkQUhcMYS5b30cagTYBQTYJoApMOvTZJ3kdZjZCS3IIpHIUJ2N3o+Qwzl9GemMaJgKiWYAGDRigQQUB3MPR9gBqNekTey6jXQwKh6adD0vQAR8L+wQEnFycY9AfcW7tFe3qaiYk2WXfAwUEPV1iSIMZKhRTKjx+bk8QBaVpQb8V0ul0OevdYXR+wvXEf5SxXr1xn6eQl5lae4ur1Ta598AGtRkznoEdnX1PoAc7tsHL+FM2W5dQzi+yuf8DyhEIQsLCwSKfX5d333+HsqQVorPDee59w0O8yMTNF1KwRTU2xdrBL0mjQaE2yduMaLgk56BvW12rMzLaQQlMYxSfX79BotGlMTPD0C2f44P3f8NF715hqCFyuECdDdvYHbGx1abbbnDxxguaEgqDGzFKdxmyEasXcvrOFjmKCeo1umtEdhCgaKAmFM0SR8RmN2lGPJCJ1JBicO6CRKLJshyB0NOsNBrkiEi0vbi8KpLUEwutRZfuWVk1hhaWzu087qTE3pWhEQ1bvf8LC8grv3umyurrJ0kyPRtwkFB1yUrq9KXr9JZ575hInl6bR3e8yuTxLVzsOth3zE3Xe7XVZ215jp2ggRUy7VaduMpamBUm0weR0QWQn2NrpcO7pC0S1p6jXznL33n3W712h08u4feUqq7c6vPzqORbOBbz44qu8+dYVrty6y9AKXnz5GS4+HbG7fovtndvc39vltQ/f42c/e50LF+d58YU5Xnh5iizfZnJykyf2xP7gbfTC/4fo1PyMTu8vJeHiS3T0H1tXfGn2Gfz6VSDc0W0PeZccvfI8DIwacwJ+GUDVkaiyB/74kk53tE2+FrHf49HGj2EPr+cxUOTT5o8nYOMTe2LejszXDwIeDwTNjoMNDxx/uG3kW31cp/nxfSv/31jVjjjwHwBlHrL9aDTfsdN9/eBIVQ9XvXxbV16iAGdx9qif2PsGK5AEqvf2I/Pco6a1sYYU1Qu8ACHGgY6xHymO6oiMAyJVcY8Cvx617fexz1rep/XPR9i3GhgRY+CBtRapBLVa3TvucVjryLWmkdTBUIpAV47gQwf2oxY5R+iaKhBlFJ5bHlLtWzmrnI98HZVBiYvgSqe85MiXQMnt5TNZymwWn2VQ7SZHE4yTAhGEUGqXOGsRee5Fy1VIFDcQWiNKLn+LhWKIKYZYB1EQcv7SCucun0Hkhu29fe7eW+X+/Tt88tEHJLUac3PzTE/P0JiZpTE5RVMFJHET4wxWGJSyGKfRpBRpD0XI9EyL6YUXeOmlZ+h1utxf3WBtfYvrN27xq1/+mp//zc+Ynprk9MoKs1MTJHEToUKkzEYUPFKOtU3Z/sdptPxE8eD2yj5tiePHshvtNVpUiRIoqcqTEuMsCEkQhqRZiigjySn7VRRGHPT7xFGDPPO0QsPeEKxACUUcRRQYGo06QjqCUJFnllotZjAMKLQjzwuC0AtT+4h2MNpQASWHjkw5uk4pBA6JUMJTaBGW2JjEaos2BqMsRhgK6dCFxhY+aj/LehRkKOFBqEp/x9MmjQFFDxkDD3squLFtzlV0OuawGFcCK2VkeznH4/BB8Z6OrqDIB6RZn1BZarEHn5RQKBtSOIW1yp/LCVRZEyucT3KR3tHtlMMAptR9CaREirh08lvy3CKlotLBMBrCeoP33/2Qt3/2tzSnaqSdbZTJyPodEimI421qrXWMsagwoQgXqddr7Gwf8P6bb3BqeQaKIf/t/+V/z+mVBerNhCxLaU9N88lvW6zmKWtrm+x3+nzvB2dpT06xu7fFYDhECIEuQIoIo31U+vz8ArWpFV783vdwssat+xsMjOHa3R2UgJWls/T7ORt71/mX/9W/5P1rH/Hum++RFZILZ55iauIEt26uEyRNfvrTP+HDK9f44MOPWVpaotFo0+12USpGqpjhUCOVKgEyh5QKFQQEQo6o/ZQUXkunHCsVU4Gx3qEuhfDJDUi0sRjjdUaUkj6zosSvRqLu+GkL6zMhqnm0Gv+m1Hiq+pxxh/+P8iNERTVVgssCJBYZBkgVYK2l0G4EUlqjcUIQVKLOzs/EQgikUv5Z4ZxnWFQBUoU+g8UIQnJckSMBk3bI9C5MC+LAEScxuAG7+3dYnkmYrDn2tnfRKTDcZqpWMNi5w+adVfYPJMM8w0pLkecUuUA6RbNhmJmWXLlyA+1qzCKogHOosit8dqEZveAdjtNqISTEsfy40WIUDyKW47EC7Mujvej6A4N6HAARD1n3+oGtqqqMp/COrY28Tr0bgc2u1NmyzqCQoAuUMwibI2yBzoZIBVEjwhrNYNglDEOazSZgybOCRr3J9s59jI2YmEpY3ewSqIAkiEHGBNKDWkEQMywURS5J6gsUaU4QBqigTq+f4ZAMhn1IFMYZmvUGw6xgmFmsU4jIEYYDYEgYF0zUBL3hgDgJmZ+fww57aAYQFPTSA5oTE3T6Q2oqoNWoIXTugxMUOJNSa4TMTU8wyAyF61MnpV4LEQLOnnmW6Ylp9vY7xHVLlq1z8+ZHhGGNxRNPs3jiFE6tc+2TG+h0kwtn97n10fvcE10k+zx9cYHtzT06u59Qq8e8+twp6lGN27c6dA76xM0mcX2KTr/PB1fuEFrHvWu3ePnlF3n68vP87a9e5zfvfMLy0veZbJwizfYwJmH3YIAOAmJh+fk//jXz0ydoRy0W5pYo9Dyp3uHCU8/w1LOO2elZkijm16/9DRNTIYsnEppyn/31t0kGIXv77xAvLHJy/jxb25K9XoCzChUaCpuClYg8whloR46ZZpfrd35Na26W8wuz5GaAizoMrWD7ICaMJ5maniTr52T9AbWkTp4OkVGftPAZRrGEnfU9UlbRu9dZk3skStA6OYdOh3S6PQIpmZg7yVAmPP3sCoEL6HU0ShkGgwOiOGB5LoYiZ2V+novnL7KVdYikpGkG7F9/k/UPrtKcsqwsTdLZ2WHQ6TFRC1C1DsP0YwJZcLC3x8K589SSkBdfnEaKDjqLuXh2iQ/fv8OFy6/Qz1Ku3Npg6UfPQRwQNEK2DrYI6uf40T/5DpMTOULtUa9Jnnn6NG+9848PPI+f2BP7cu0zeKCf2KPtiMP2D8W+OifSZ+qFj7PzQ78Xh+ubTwOPvkxgaVSPMpDnK3TgH6eq/pJP9vm6y6dgIg+AIr/LMfAEHHliT4yjIEP1/nd8dB4HHsrPh43j4w7zB5zTx0GNw33E8XOMHTJ+zgfKqQCbat9jIMsRR/7RQh/+7xft2D9uxy8NAcoHkSIdDuVBEPAyC9YirPPOtFLQ1cHhPo8zl40Fmx8HQSh1X33EZbW/9CwSR0Crh9y7R25/1L5fookH/nhs+1YDI94EOLxwM444jgAwxkfUF9pHkVai5t63U0aylilKIzqgcdGuqmzGnMOOkQDOiG/dHs1ecM5hSg0Q5eRYSWVH8zt5R5F4kP99FJhfRelSOb28Q8/7obzzd0Q9ZY3Xv7AOl1swAUIopCj8YBEGJzxFkXAal2ZYp5AiYnKqwdT0Mzz/3EV6B/us3l9jdW2TG1dXsVcDVFij3mgyOTdHc2qSmblppicn8LRfEEqBsg5r+tjCIghotetcal/iwuWn+OEPf8z23gGrd++zeu8eN65f583tHX7wg1cAOVp3VkLMthKjlxKvze2plKpB71PKSgRz9P3hIs5WjvnxuzgayK7y2I0yCwCwHhiRKJzzlEuesgyiOCLLUw9EhHEZRCS8gHWxT6Me0Ov3mYsXSoBCMBzmGA15UZDUYvI8I4xCtNEICUWRo1SMNiBKqqJCa6wBo71mTqVnU0FppuITtFVfqEATkFJ50EAoVCAxyuJUSCSF12IwQJFDpqjXQpJIQe6zBfya2wMGhx3Qg26jMSAE44CeO/bpd3NeJN1ZhPMC3a6kuxJYlPBXYoRC49DCIAOLyVOUzYhrCmdyuumAZrMFKkFIgdWOwmqsAqk8siKqcSasV8IWPvpdSoGyFmcNxkqcVUgREMio7BXOC2brwuuTGMmppfOc+tf/Vy/kazUmTznYOyAd9Oj1uhQuR+cF9clZzr7yAxqNOudtxnPf+xPe/OV/YG/9KrfuXkO6Ds9eushEI6GWhHznlRcYvP4m99c2WdvY5d/9h7/izNnTnD59AqRCqoj9gx61WpNmo4k1ljzX1NozrG3vQdwkbM2xubaKDeGFF59nYekU73/wIRsba+ynQ7776qssTJ/mw49uc+vKXVq1OZ555iX++uc/Z6Atly9fpj8YsLu7w8H+AdNzsySJYjD0gt9KCKx3cXs+MkDbEjRzDmsEGgOj+c3Pe8ZWwtuuBLn8duscRhdQ+LKkKqMMDvMbkCUIqI32x5bjvtIVGuFzQhASHNG7kMJnHbjqGS7FCNgQCAIlMXiKLmetz0KJQp+dVC4kpFS+XmVQxggQBR+VIQAhUSogFBZrDemwT5F2UXKI0F32tnZYu7dHqAT1hsDkhnfW7nGwLRh0UyLVYXI6Iu936R4onJlkoj3DsMhpNiNmZpaIwzpRnDMcbnLv9l1Onb5IkDTQ2o/lCryhbNeK2qqi0Koa9BB6OGp+nqrCBo4uStyRAXw4r1YbhasWTEd3G8/8QhyBRcvqHM7DsszW8v3GIq1FysDX1xSYfOg1a4RBSB/U4EyGyQcopYiUDxZI0xTnAkDhXEAcNdHGa+YIYTy4riQ6UwgVYNDIMMLpCIRCBTUakyGd7j5B2MDiiOKIIstQgSCMA4bDAcbA9MQ0VgT0O6s0mh2m2hntpqU3GCADQbfX43vf/VO6O/t8/MkWmpB+VqACRRDFDPs92gkoDJFUBApyUdCotSmKHONyMr1NEB+AyIjDCUze4oMPNhBhi939DrNRgiOnNbnMzNJZVneGRLV5zp2PcP0d3OAec819hNjHkdKeqLOzu0U/vUaRCzo7ByzNn0M62N/d5+LyUxSZw2ifhSlEQO5i9rp95N4ezoW8+sqPqNcucuvafdKsSxS2EUlOc7bJzMwMO+sdJltTnFu4xF6/w93NW6yvfcjlS1OcPtFi9d4uuxsd9ne2OHPqPN2dNbZXb1CL6hRDTX7QJZl5lhOTCWIINRnRsxFd28fIHK1DpIsRhWWikZPuv4PpvcP1tT69qVmGwx6y0ePcs5eYi+dJsyat4gw1HN1iD1mkzLUFIuhx89YaCzMv4cKYva1tsoMr1PUWn7xxh+e+/yq1hYBeLyLUE0g7hQzaONun3bLo4R61pE0UZezv3mR+IaFdq1HYmHNLbUJjWGi3CMSQYuc+Re8jJuIDLi2fpt874MTsDBN1x+7aVbT4kGFmCdQ8odljceL7qLPTvPWb3+LEPk9dOksa9pmZaLJy/kXWdw5oNBQ3btyhe7BOuxkSxQnT8y129jI6e2sUuuC3r1+n3+kx1Zp6yKh/Yk/sD9D+UPCYcYfF57me39kOn7OhHqnN8Zj2WI6jb+5N/FSNkRHw8Wn1/xKvrfIPjOhSvto2fCQzwxd3hq/IX/bN7HtP7Il9I+wRgIU49u74uUGR437O49+PFe8/HgFsPOr8o3qMDjp2bh5eh4de+yPsywZIxt/Vqxd4YMRwBN7n69whIFIxBrmxMh53qhvdt2PAyOj/ar9HZP18lvb4qkGR8ROPuX8f177lwEjlGPP0R0Ja4iTw3PlOkuWGPNc4a8Bq71QWZRyrK6mEnPDo2wi4qFzRY5EiI3OlA7nskMfE2gUlcEIVV+uLqzI+qp1c5dg+REGoKLHcaDyL0XejtRF+kFSjwJlDUEYYjUAiAol1Fm01lX6EcA4l5MiJJvD+ZGtzXJpDmYHQqAWcOrnEyZPLKBWRGTjo9Ol0uvQ622yv3eKqLghrCe2pCU6ePMn8/BxBXEeFyjulC4spLNbmIBVRGLK0MMPS/AzPPn2Rjeee4n/+t/+OYToEqxGBH+hSqurCvSOQci1aAgQewPJt5zNLSi790QQOOC+APgKp8FHth73FF+r1Rtwh/uRACUGRF6hAEgUOoXOkMqgQryVCgBKBz4yQjjAKUaGkVo/Y6+5ibM4wG1AUBUEUMT01y527t3AWVBgR15s4uY/CU8PEUUxR5ARxTGYK0qKgMIJ8mCJKVFg6WQJx5X3HIYSHGqSrumjV08r9lCSQZdS7C7yotrIgAmoyxEaOViTBWK/H4YyXgyjp25wwIDWla9Zfr1OMhNIBpw67rCwbVgpDzeUEboAUPbRwFFYRBxGxg2LYQaiINJjEyJhCgClykijAFXWCJKbQfVKzh3MaqbWnvbMhkRKkqosKQWmNsoxOrlRAXjhUKCn0ECULotiBi8mGEiVbFFoREOBkgDO+D6nIUtiM2bkZD4hJixYFSiomT0oilAfpZIaMAgbDAisD9lONMDkrK6cxKsKIkFprgkGhuXb7Jo1agoxjBvmApNli+dTTvPy9f042zPngw3fZ62hq9QkcCVIqohiiRBOGjnQwpNkOaDRmmZ6d5ennJKcvdFk4MceJMydxKuKF5Yvsrt3lg7de56/++uf88Ad/wgsvfgftfsNrb/ycaCrmxe+9wD/86jdMLiwxMTHLRHOKK598xNraHV544XnazSmyzGAtGCewCqzzdE0YMLYgFAqfm1Q9pwUOhXMCJZWfO8s+5/slBKGnxbK21MMpqeAqiq2KZk4Ghw70kWA7pXbFaFVw6HgXjtFsWfU7ZzkEQaWf83AglCJUymuYWIO0FhUEnr7JOZwxGGtQpZ6JMYcA42hurqjeAolRCpXEpNrQ39sh63XoDwY0GjNoa3FhwurmBlPtaZ5+4RLCWO5ffZ1ef5upxWleuPg8BdPsd/sURlOreaDZlQCUipqcuzBLVEswVmJKkAdRZhz4eJHD58SRNhlNmQ99aXaW0XUdmQWrZ0kViThm1TxL9aypto80R8byQKzfX5TzqS2fYbLUEtGmIA4keZ4RBaEH8KUAU6D1kEYtQpgCo4cIoTFoBr0O1hriOAEsEoPRDmcUVgikrBPJAIRChJaoJsjdkKJImZlq4waKTq/PMLNMtBYRNkAGAWmmGWQZUnrmpkHeJ4pDAiExeUEochqhoNVO2HEHzMwopO2i0x2mk4SF9iSfHGxx//rb4AIascTokMAJ8oMutVDSWpml091EyxRnFMN+RpEN2Nw0zMxOoY3mxs0PmJztI5xmWJ/FFY44jKk1BNfe/4jJiUnOnFtmc3OLj2/8nKnpZbQN0bbP5HQIpAz7fU6dXqFz0OH99zbY2d3jBz88T7Pe5O//5g2u37vFyspZzojLOBuzsb7K3MIcSaNB1s85feEismZ5/Z23eOqZH7C6rtncXuWg1/G0gO2Yc5dOktoeMxNzTMZnGe4L9o2lcBZrM1ZWZkjTHcIoQWpLNuzQqjeYm5rj3KUTfPzJe4SRI2pY6tOg3D3M9sfMCEsc9plu1NlJ9ykUDO0CJp+m2S4IijvcufYPRPk+gXa8/drPmV1oMb2oWL9xwKmzzxHQRO9rdnY6aNejYI1u2sdYy3vv3OJH35slcxk7m3c4Px+w+vEtOpuCzr17qKhJe2KFXjFPZ+h1UVphn1/8/N+y2Ip5+twUS5OO7XvXuLl2h+++dJn9tR7RcIbaIMfSIjMdhN1DKIhkwmyrTn6wzsz0FI04ptAHfPzJ2zz73PMszSck/UmWWgPe+fUvyLN1eoMBf/O//owzZy9y7dZNrt5cJ8s19SgkG6zxnZfP0t/b4c7+Gs/EE5iiQ6+/gw1D5pfO0WicoNsd8MSe2Fdqn+MF84s7d+Wg/hrO/UXa71X/33Xw13JjvoZz/ido1fpuFKT51d3rTxMhdo8xJr8qEePHs2/7BPLEntgXbA9kADxivD7wMnn498hxfmT/8bLEg9+PHzPmHz3+rvrg5yPqLB5S3rG/H/jrgfIeZkcq9SXaw67vmB1nNfq058Cn4fgPbDu+cezeflrbPFa7fFq/+JLtc57m2w2MWIfVgHDIEIQwJLXAO9dLXXZtquj3MsuiolMZUYCUiw0h8JHylMDD0R/nKjHw0uleRU2PWwlSVI556yizRh4chOPjmpJCpoJMRgjhsf1ESWczisylvITRzS81I6TPEAGHMT6jQEgfJS1h5KAUCMKwunaB0Q6jSw2RyBDKkIWZBkvzEyAEmXUM+n32tnfZ3NzgNzevUWhHe3qelZOnOXXqFM3ZBe90NBqMxhQZznpHYxwrZmYnSZKANOuTDnrESVBy1lFGSnsHZgUM+Whlx3h2zShimgrtBK/hAioIxpytY+9yzpUgicCUt9XfalHeX0tQiQw5g9EFVmcoLPt7e8RhQL2eEIYKawwqkAShYn5xluu3r2NtQa/XZTgcEtVCoiimSDOUFCT1OjIIS+dH4qlDkBhtsQIKZymMxVoo0hynrc9mUrJ0TB9qC4y/mzprccIgRQW1OYQIAeWdooaSoc3inMEhUSYlFsZTvQhZuruld7Q6fBaU04AXyxYEJXgkERK0AF0GUElR3htlES5D2SE1ukRqiIsUqQvQ/S6BNUzVLDsHO4StGGcMKqqBtEhraEah1wcIFPVWi1wadC6py4AQiXVDoqhHFGtcaolFjC0E3e4+kzNTFM4SxyE9vY8UKYFwaBPRbM6QF0O0iNEFaKcokDhlMTJDWIVzIdgI4wRFoME6pIPceJF4bfw9KKwqQaYAZwOGmWFi+gQ7G6vcWu0ibJ/O/ia1WoxxludffpmF5RM8/9JT7O0NUSogqMX0e3sIlaC1RYWGbn+d6ekljOkjFSgR0OsUGDHFUy++SlYYdnpbrHY19YlJRNxkaqXJP1k4xY0P3uYXr73F5adf4Ac//h5JG/7i3/1/+Gf/4l9x+elL9PtDamELqx3nz1+iP9zj448+YHZugZMrZzHGg4RWKoZaI50H3oRQCOWp2eTY1OWqTIYSxHDCMopygDILzs+fQgpCGeAs6ELjnCAo9URGGQZCeIqtkjPT4TNIKuosqrFfna86UuDnubE5tQKsq3ID6Wm1XJWBVkY9HMo3OZyxBEqO5mxj/bPA04ApUq0Jo5iigNmFU0w262yv3SaIJjn/zCtoBNlgSC+NKUSIiSaZatbov69xMkbEE6Qi4c7GPmFUY2pqGmMLBrakQTQBQTBD0q6h7ZAjmj2inM9LpHz89yFwcfgseNjCdASc8KCJaoeHrVl+hx1m6I1m4HLu9hlZYDGmwJocqUJc1kfJmp9PLAhbUAsMtQCyPEVR4DBYZ2i2WwwGfbJhjyROiAOFUY7uoEeYNCmMxRUF6XCAkAYVW2yWYZ1GFxoDFEXB4vwJnA0IZB2hIKxHpHnGxEQNqQr6w5RmIyAOIozNEaLDsLtKu1bj5FLMzsE226sfIrJVzq+cIG4NWJ4STDR6dPuWfn+HSDaJohaRjNkfdDlgCJHDKkOzVqdIoegrorCGNYJGvcbC3BSZ3WFmZgFlW8yvzDHo7pLEgtnJWfZ3egyLHknT0p7IOLFk6e516O1ucuB85muv32OZMxgU169dI0oCrt1aJe3nrG0POXVmmr3BPsMMfvTdV7i/tsqw36HfNWSpJYxqbHd72KDGMHf0Bym/fec6J088w6VzT9GazMmKDe7dvIsoakjncLZB0lBsb68SBBnT003yvMPkVJOlC3MszM7Q7/ZptSfIc8fyiYv88rVf05iC2fmQ+UZEzfW4cfuX3Fk7IJysU59pMjM3T6p2aUyf4e7t99jc+YQLJ5q89vdXoUhotST1pmVpfh4nUiYSzf5wG+UiururXL/7EU+/NEdU02ysdwkDwXCwS3tqmSSMISjIbIEpctZufsx+R/HSj0/QMxIrIq7euM+gf4e5iTor8yH3b76FpEl37TqNZMBg4xbp9jZL889w6/r/ykEe8c7H79OaSPjpD37MYHuNt9/+gKm25KOP3+HkiWkOtlZ55sxJmi7HdlZR2RZnT77EKy9O05625K7NR1fXUfVFTp5tcef2x0zUQ86dPEFnT/GPP3ud7/3gJSbqgrfeeJ2puQkWFk/Q7w6oN2dBTpClD1l/PrEn9qVbtd7+mpzwX9u5H8O+7modvp5+Rcc9zmrhSwSzHgeoe5xzf97r/6rtCCjyzai04FCb86Hff6mgyLHzjqhkRmd/cJ8n9sSemLcHgIvx/x+288MBitG750OBj2r/R5cvxEPKHS/ggcwTHgRAHgKIiIdse/ilPaLun9e+BMf/qLSvA2T+Iq/nkff5K7DP0HbfcmCEw+wA6510jWadSsg6VCGm0FS0Q1A5f70Tzws5l2RVR3hCYBShYcvsBSpR2gcftBUP/sjJN0arNSprrHONO7EOKZ3GjysPG0+fHWWlfGrirz+VFCjECPw5zD5xD1DCC6VAShwQOEmNGGM8UGBNgS0d7zJQ1AJFbaLJ/NQk5y+dJx8OOdjrcPfeGlfee4c3fvkL6u02J0+e4vzFC8wvLxG0amANZpCSDfo4XRAGDiksxmqkCHBldLkKYwIpIAhHV+kBAHdIpTW6TnF0QhtLdRZCoJQaA78Yy6xwh1HOFaWZK4ETJSmsBSvIBhnDXkotSdjb3qHb2SBN95Cy8M5z4ejs7xGFIc44rysSxiihaNYaFNkAo3MC6QiUQEkf5h5HIZiCUAokDqc1cRghnHdCG6N9lY3FCuMdqOW99IkSiko4uRJmll5twfdn/P33YJsHBB3G/ziBFJYg8FoNokydq3Q/hDBUGg7WOpwtkKJAyQJEiBQhgVAlC51CijLzSORo06WXdsnyAYG0iEghEkGWpVjh70lrbpGtTNKqJ/R7XYLhgNlaQEtsI0WfXqFB1bFMYVWEzYdErkcrztja+JDaZML01An6fcPOQU7oICyGNCOL7m+RpD0KZ3BJQhI1UGhsNkAQI8IJcutwMkAEFmclzkUIElypOyJxPmPGiRIz9c4zXAAKjEcxQUgOhpbnXvlTrI3IVUgSW1rhCp3OAbduXWX+hGFyGjq9+wz1gNvX7rC9tcupEycw+gArHc22YGO1w+6ewnKaRiPiyvVPOPfKn9HvBqRIbOhoTU8yGHTZvHOflaWzNKIWWR7ywnf+jMbkNd56+7fsHqzykx9/l2Z9kv/wP/053//xP2Fh5SxRPeT+2h5zs/NM1ZrMTM/x9tvvkqWfcPHiJZwR5FpTLwHFwuQ+u0N4yjoDyNFYLKkHS+5JweG8cjgGQaDKKc+DadW8qLXBOQiCMYrBah70iO2RtP0KIDk68scnu6NlWDuCTpBlRoiTErSfXxBeM8Vri9gyo0WMygiOOPy9/ouQnpaw2a4RtiZRJDglyGwNpyLCRpuTZyfIs4ydbkaaZeROIFTI9kGXkB2aU0vE9Qn6aYpSEiUVCIUTCmsl0gZoK4mogPBKP0mU89VhEz+wRvmc731jiSFHtsEYGP+Qsj0g5u8t4jDbppp7JNXcYVDCjTBvrQsCKQkCBQJyo+n1e0hjCMMAlEJIQb83IM1SQiVRUlCLI/qDIZPTCbnLiGIYpJ4GC+m1k+IwZnp+mWKwj3Qw2W4SUNDPD8jVkFDGNKeb7O5u0Q5aIBvU24sM0oJas0lzImaq7djbu4emw+6BwdoGjWaNqFZjc+sac/M1XL9DZ9BlfvkMYaPB+j2NzQJwCYESHHS2qU+Akoq93Q7NJGZyYoI8LWg2YtJsg5Mn5ljbuk2iYHFpkvv3P6TZULz19kfMzq7QrM9w99o6Kio4f/YCO1vbCFvDOUNSl8Sx4sXvPE82cBwcZLSmEg4Odlm774iCGhcuvsy1G+8zTPeZnlzg16/9I61Wi9Nnlzjo7oKrceXje0zNL7G2vUqqY1oTM3z3lUvs7RoO9hXbe3vUGhnzcyvUahEHB1skScrBcI8bd3/Lj378HM5mJEHM6uY6n1z5DSeW5lk6vczdjeu881FBs7VMli8yW5tkv7PKjWsf8vxlQWNqgkuNOkrVee/d36CnYl544TuEwTof3voFzUad0GYUZoOZ2RM89+Jl9rqbnDixwNWrN9nb3MeJkF5+nzTdZ9DVSLPI3av3uXVrj+vX7vOT70+ysd1lOGggZMLJs5e59IN5rrz/Lu9/8BYrp89yZ/s9mjNPY4cBYtDn1NnTLM0YBv0dOp11IpXQjGbZuN/jyrW7/KuXfgL1Or/49ds8d2mJF194EVfkbPUPWJw9RVQTbN65xdLJiKnZRV545Sluffguue4xu9himO1y6ZmnGKhNguZpzn9njrA2y/zMDGHep7t/j6kJwUcfvENY82V8+I9/y8xim+mpJWrxJJEquH/7HsOe4e033/t8A/+JPbEvwp74HB9uXzLt0Kc2+u9z6odknH5qPR7Xx/BlgiJl8KA/z1gYyGcEz8bpqh99Mj5zuV+qVQvBb0B9qoDR41X50jNFxoeD4yG37+tvmyf2xL6ZJo5+igf/Fke2PQhejPyKgkeAIseBiWP7HCnvUcCKeKCqI7/fpwEfj/ruSwAtHnLyL7n8r9C+DCDjW9A8325gxLkyi0JgjUVZT1UShNILAcsIXRRHZEOccIeCu85ijUM55yOZK9EZYJSOMXLWiXId4o67A/0xY7QwzrrDm18BH2U0/uGAHiulDIOuePqr45Uc4/ccyxY4omlSfScqZ9rhgqSq18j5aMdov6o6WHukbKkEYRQgwtA7ho1Ga4PnIDK+zQpZ6gJZpiabLJ34Dg7BoNNnbX2dm7du8R8+fBvnDPNLizz7zLOcOH+BZHaSmgiYnZzg4GAHZzXWmtKBL0A4jCkQ1jsuhVKoqu5Q0p8dn+vKtsVHndtKN6bafwQOVeHKDoEaLXKd8eBCEIRk2qAthDIkDGICmSCdIku7WDcgjBxp2sVqwUS7Ra/XRxhBLa6TZ5qtjS2G/T7WFARSYE2OLlKiQFCPI6JQksQKa/JSDNrijCEOI0yeI10dq00J1Fkfoe8q2jdPVWOdRYpKHKkC7Ko+ZkuqqKzsGKZquZEDU0qIYkWVTuJ1HcpMI4GPvBeBz0IRFolGipxAGQo9BAJiFWOdwjkPkiANSgpEFIMMsNphjSV0EUkrQg9TOlqS6DqFdjgzoLu1SWJBuJCwtkmrXSAKkKqBIcIphdF7NGqKorNB3QlUasmHKemgwDnF7OwM2C63b3zCRKtJGNWoNyfoZ5bOviYMU5JQkMSK3Twtna+qzK2RHhBBjIYoBAiEz5woh7ASAbbMFvPyLhIRJAx1hggTnvvOT5moRzido/MMXRScf+oHnFxs0Wxbbt/7gL/52d+wvb3HM5efp9PZpxZqD5C5nCLTCBfT62ZsbGyzvp2zvr1B0D7DQd+g4oAkkEyogBoF+6ubZEmLqdkG3TRj+dx5gkbIO7/9JT/72T/yz//Zf0ksa/z5X/wF/+Jf/x8YDkNmFtpYJ+kNLbGq89xz3+XuvSu8/e4bvPj8i9TjNt1BxrAwJI0m1jnyzBAoiaUac75/+XlqjKPpwaFYang4tDEIBFEU4YA8K0qBdjU6pNIXGc2VJUhpy4y80fdSlJoglVWgwWEdjr+IVVkisgR9Kv0nqzVCiEN6r3KODAIPOhpj0dpQS0KyzGehDYYpIZKZxXPk1rDfywkSRRhI4iigETWxKiWQBQ5BGEZYJ2i2W7igRlForHMo6Snd7PjCTQZA7LWphCrnt4q28dNfMEU5B4zv58pfn7Ze9C3o59yj3x9G3T3qtJUjYbwHeODa4ozPeAwlZFmBEYIgDMp6mvK2GawtGA4NcSgQ1j+v87yg3W6DkDRqMbbIyPMcIS1pPmBrb5eFxSUimSAshCIgkCHpsE8jUdSTFtv7W9QjQTHo0mi06OcDuv0eUZxgjMU4hTMgZB3nBgglceQ02yELS6d47Vd/yeLiSSYn50i7XqPESMn9+zeptSZ578PXaU1PkGYBEFGrx6RDQXtyERUnbO5f48TyFFoOKLIh3YMtrM546aUl7t0fEqiUWiwYDnZYu9/nxGINITOefW6F11//hE7nI1qTLdqTE2SpI08Fl86dIRt0OThYZWIi4YP33sLpBGNrBAmcmj3L2r1NiiKg399ncek8ly+f5q233mCvu8vi/CLrG1scdHZpNhf40R//Mzp9wZVrPV771Sc88+yPufz0K2xuHnD9+ocEgWD5xDk+/uht0jTn/MUzTM9Msb27yYmVNjOzLZYWnuIX//CX/PCHl4FZYMCduzcRTLHfswRRg0sXX+D67fcJ6nXev3Kf6bl55mc0EXUW28ucXVhhflbRdFsMu3f56aunuH5zDV1s8F/+8x9hXI0PP/kQ6xzzMxd46tJ3uHL1A77/o+/wV3/zt3R7iv/Nf/Vfc/f+HuSGV567yMr8Ju+++S6Tiy/w4x//kJraZYd1fvXa3/Pyc+fY706TD+9TU5bNO1tkRZPzpy9y7cPXuav2+M6rl+hnt3j1e08Ru2n+zf/vf2Th5Ek+uPIhrekZeoMtkkgiiyGbG3fY72ygVItfvnYNqSJWNxWtpMZf/vu/JU83eOWVFylcxubeBsQBtdY0W52CxTNzmCBiY2+LqUiw391m72CfqdkZXv/NW2SF4Mz5V3j/o7dZWJlh/0AyMz1JEO/x7kfvMDnXeOSc8MSe2GPb5/Udfp0+x68blHGjXw/Z/iWU+1XYZzqt4zD19tN2++Kv5UiRD4A55XqmfJ/2ixge69oqJ+DD9DQEY3F3jwKQHgBovkQ7vjD7BoAjh47Ub7p93ZPHE3tiX5M9MEAfAh6I6r1w9M+Dn+NZIg/7PH6+kT9y7Jzjf472O/Z99d0D+x0DRnjEO/KjQJHHBUe+8gntCwYgvgg73vb/idi3GxihHMTORzPbQhMGIXEcY4x33hVF4Z3JCJys9CwcRlUC6IzEhBU8MOAYgSjeeeaM9XQvlfB5ZQ6EdQjrHfRSSlS1WBij8MI5z2dVYgFUH0IAPmq9EoquHHaj445NBCNqpcqxWzn7x8CBI+1UnceV14U7FPORAikpBYjdSGtb2lJU2wqv4xJGYB2FLgiUL04PDrAW4jDg4jMXufT8U+TdDru7O1y7cZ03fvX3/MPf/Q1Tk9MsLCyj8wFxAHk68KLXQhBGMShRZix4jQKJxQrBSFcDQMiR4HapRO4dtuU9rICRKqviEAgC54xvJFnekyPAlxfvlqUgfKQSJltT1KI6DuMzLZTXqFYyoFlrUosSet0+zVod6RxWZzibsblxhyzrMewf0OvsEShHoBwCg3CGQOIzY5wHQaSENE29LkJWIB1oZ0rtG08tJqXyWUDW06QJKUolHN9eDpDOgTBlprVDCIsnP6r+NwhpiEPlgRAstopIl5XDUwAhUkhUIFBOgEkRVpMocMK7ygurELKGx8wCpGyhwglqtRCbanLdQSrIdUFYmwSTMCgsUV2TDvvMzS8zEdcZ7t5CtiJsqNHDEClbFAPIxQ6R2maj22dnfY+L575Hbnw7ESqIMg7SHbr9XTJVY3rqNEK1uL+5hxAJQZggg4C1vdtMzocMDYhQIWSILUW2RQDWWBzS65UgcC5AlgASOFT5acXhC5IQYBykzqGimPs7e9TjCKMt7UabiWaTg84WaZby/rtXWV64wJ/+9CUiVcOZAbs7H+FImWzPkU4r6vEiWVrjzt0tZH2aRj1koAtazRaDwjHMLXUZMNFq0Y40+/td7t65z9TSJEbA0umTTLb/c959/Q3+h//+f+Rf/+v/mv/Tf/Mv+au/+/d85yc/ZfbUJRyWpBWRDTwAcPrcBe7cLXjjtdd45vILtKfmUEqitUVbRxgGfvyMZijLiGJQlARvbkxwTRw62U05pmTgHy/aWZwDFYb+eHuoA2StLem1HlzcHIKCo/XYEXD4+CpinOrwCDhczZfH5ogqq6TKHtG6BGKEIA5DjKbcXxBECcI5MmNIDajaBLoClm1GrBwqBKtziiKnVouZmmgz0WgwKBxOOJJGQmEqjSOwQuAkeLq6CKOdnxfUeLZIOZfxoD10qVL10/F9HrmmORpmd7T9DyMAx7cfqYcYP5nxGiI4BBacxmlN7koaMwWBdOish9W+fazOwRlybQnDGFc4uv0htSQhqdUZ6MKf0wnSLGdqahpnJcN+jjEDMqPoDXpMtRs4a9je3aJwBmENpsiRmUI4RYAlVpKAAJsHxGGTIltjfiogjroM9u9w9eM7nFwKOLt8nqQ+QbeXsX+QkTrDdGOG5aWTdPoZ9WiZ7o6iUZ9nK91lr3eLWryCzSWFgenWEnubHXTaZ242oLkYYM2QYXoD6za5ffMj6s0+C/OzbG9ssrVRcPrcIiunTjAz2+DNd27QbM2wvHyW9dUu+7sD3th6HSm7LCy1yYYFg46jUW8gozq1dpMbt+8xSHOkhSio0zQ17t0/oN6Y5u79WxTFfeaXFjDUGWQCoeqkacH5i6/y//3z/5mnn2tyZ/U6cc3xwz85TRyeAmuYmvgpt25d4+6d+3Q6u3T7+3z/1e/z/ntvYTLHZGuC1ftrBEGPPO8ThXNcOvc9fvzqBX7z+jU+fPdj7ty/jQsPIGixO0wR3X16W9vcuxWQd1PCqEFv2GV3b5NGs8+pi3O8/s4vOFm/zEFngBLTLM+fYbJxgd/+5i2cMLz15rv0+/sYHbO5cY8ijXn1pT8iiiRp5y0uv/gMneyAYe8XdHuajdubzEzPM8yGLJ+c5+aNd6hNtjl/6jk+/uQ2Bzu7zE0F6LzD5EwfHWXYwT32NtaYXQh59btP88Y7b/HGb9+gMDFp3Oev/uNfcOnyMj/56ausrgouyO+jtUIlTfaHdxlka1y4dJFUGupTLdIipZXArVsf0Wg/y2yjzq3Vm3R698hqOSdPTFP0G7z2yzcY9vq8fXubl175IXl+grff7jC3OMXW3g7WWk5fPMnqvWuPGtRP7Il9Bvu8TsKv0cH4tfs13ZdUh68d7fmM+/8OZ8kX3EXGQgG/JHtE2Z8lm+arBEj+E7fP3cIPpEs/uVdP7D8VOw5MHAMlHrZtfP+HZYn8LmAERoG8D9TlCNgxvn28jOMAzWHZnwqIPA5Y8kj7ioGALwJ4+LKq/IcAijww53+6fbuBEUcZ2V2KljuHjALq9Rq6yEFYtC68c02AEIeARhVNbLU5bDBrcUJ4nYlxQMK5kj6oFFZ3ruTjf9AxN/7zYH3HRGtVJSh+7G5J6Tm9R05/x5iH6rCM4+cda5QjWSFjhwql/JremKNlKI9wCOf1SIw2oIflgdIDJs6hTYG0utzXg01SqlL4XqGLAt3ZRUhfn9npCeaXfoAucvZ39rl58x5vv/kbet0Bp06vMBj2CSJBOhgQhhG1Wp2wUQcZEMvYZ84YU+If5bLYGoSsHPjlC4orAR4BwphROxy5D2UkkRsBLOV2KcCCtgbnvFi8SjXr91fRos5ke5JAJISqQRy2sMa3k7UWU+RYmyKEQZsBQdBASi8WXK8nSGEZDnuYImM47KKkF4MXwgtQO+dQSiKFRBuLcIqiMGU0eQlw+cYfPResNSWTUUWpNR5D7zOobHmdRxSanQPjv49ChZQOK4XPgBACJ7wDGEphd6EQLsRZTZ7lWOmIwgBEgdYarSGpRVgCrFEYLSnw+i8CQWEcgdWEoQKlGBSaKATMFrHIkC7G6AFxUzMo9jAuQzBFoA1hlqFUis47WKtptqfIRINBYTDFkHoNarWY3PRJWm0a0y3WuzlRmKIaDZIgQFpFoTVxbYKiUOCqbBCwTiCFQiA8XRkVVuiqVsQKkKUukRz1GoEVrrx/YLUl05r6RINB74DtjXWuDfq0ayGToSZUQ3JtuHT2HMLVcUZR5BZrDVEoaTRaSAYMeoYsNYRRyDAbkB5sU281yHWElhFGSjSC3HjwZm5+kqZpsLq3Ss1EWBPRaEzxkz/55/zjz/6KP/+3/4aXXrrID199gWsfv0WrUac1fYZ+3yJkzZcjA06ffYp2bZIP3vuAsxcuceL0Ivu9jDCI8bRZlODsYRYBcsxJX0XmjUd8uMMMhkOs1oO6QnhRbleWWwG4FVBR4nkj0GI8W85a5+fux3xGj9MYVu/nQkpCKXH4jCZrLUVRoJQiKLNKjDEIpfwYE6CEQDsPjGEdCFWChpI8zZGiwLgBmU49CGhSIqeZbkwROYMqUmThyI0hkQ2ETdBCjoA2X1k/DrGmBKTFEb+DvwcwdsT4DSi3Hn8WPdgmDwQalsc9rElHzfeI9rUIpAAhvIi8cxZMUR5gUTiaSYyTgqLIMVoThhIVemI/4Qr6Wd+LrAuFlCFhJNje3iKcn6XTH6ILC0hkENJqTuKEIIprpGgkglBJas0GSS0mRNNoTpBpSRgpsixHFwOkaiKtwxY5E6066aBL2PDAttX7aJlRrysGnR43b2zw1NmLnFi+xJU7ezSbi9y/foepcxO8996HLK+c5+zpS9jCsbe1xtxMncX5Gm+++Sbziy/TbsyyuXnAqZPz7G4PmZ1xzMzU2NhcY3d/B12k5Pk+7cBx9swcocxZX71NoAQ7W1dQQcDF89Psdwwba3fodxVz0/N0DjaIazFJHHDz+h3mpi/Sbq3w81/+hsUzpznoZ8S1kLnpJYZdzfXba7SbddrtiHZ7kd5gj+2dPsgazeYM//jab7l6ZQ3tEi5cfJYkSVhameXmnbfY7WQEwIfvfsjO9j7tZpuz507TO+iyvHyKydosT59/gQ/f/5i5+YTVO1vs7d/mRz98lVMnLvKzv32NqYl7HOwNufrJuywuzuJkjXDyLIvzT1GPa5yYneSNX37M7Ws3WNtrsbIyye5en9NnJgmyjJnFFZyrUY8WqC82WF1d563f/hsm25NMTjVYu7fDy899j3ur+wyHKSvLZ9ne3OSTK++zvbnFqeUVhN1l6+4HHOx0ufHJDX76k1c4efY8WWZozEwhwh47uzdp1lP2du+SD2o0awl/9R//gvlTNWYmlxnqguk5eP+9X5N3eyzPTHPr3gH9/oAf/PEPuXf/A9569x955fl/Sr+/z2bHYAvHzNQcw2CK2YVF8qLLL3/9JgfdjJdf0TizS3/vGi35LDu3XqM9bZGiT55usrJ0ku9/b4FA7LK/t83U1Ax//NNn+auf/4yplTphELA4P0vIgFZzBfhfHjE6n9gT+x32eztu/wCdiV+1M/vznM+Nfj3Evkaw6rh91dWoFipf5nlH7+uP0c5PAJJvth2/P58F/HpiT+zbZkeyQo4DGP6XGAc+HvL9kf8fADTEI186xZH9HlanRwMfjwJPxPg+nxUcGb+QL8Pn/9B39a/IvkoQ4xsDmHxKoMrnrOMfBDDi8BH0QgJBQJzEZGkP6yzaaC/+LT01FVAOVoWiPN5axulBxs3rUbgjS6GH6YiMRyCPO+Sds6VT1QC2jLIWh6HnMMp2AEbAjasWwEeor6p1cUVvc2zwjwUAi5KWZkz6/cg5RouACgSS0gMQJb2YKQEGX7QrsQevOSAApTwgMkp9sV5LgzIC2/kUGvJ+B6RianqS2Zk5pian+Mv/8B/RuqDQOVG9hskz8mxINhzQzJtkWUGj2fKObCkJwhgZhIfXiIMyynuccgfhhZPH789hxLUFEZT9ROGEBGHL54BBhCFCgxUOa3I+fP9ddl97i9b0PIVxXPt4DSkCAlGjKHKmJieYnZtCBVAUPXABjpyiyJicmiKKA5SUBEISBQG6KHx7SXDl/TLO1wmh8CkbijzXWOkpxKSAiiqrit53OKytMhoYUaeNIujH6MPA+3K981PghEWMNEZsOQ4ElOLr42tDv1XhrEKQoCRkWYrDESc1LBbrcnAQigiDZKhztHOEgcBmBf3OHvWJOrlJiesTmKJDOz5gcjJA9zXODUAM2dnZYLKZMNlIGA5yJgNJbizIBu2ZSVKbcJAVqDhGyQZFnqLigCwzNKcnyUxI0qozGAzADBBKUA8bmMISqhomD4ijGKMNThRE0l+ds6ULX5pq0OBKYMQpgcUincUTSnmqvSojS0lQkcTkKWlR0Bns4NSAqFZQa0iKrEu7HvHMMxcZDlKytI8LEqwpKPKchekJ3tl+j26vQyMJ6Q8PSBJBHNbYufsJSbTL5PJFmpPLdEyAlZJCBiAVw6xAhoITy0vsdLbo9HqYIMCEAT/+s3/GlY9/y4dX3ubk0gSnZye5/uavufS8ZXblGfbTlMKFFBosIbMLJ6nXJrh5+y57vQEnTi0SyQhTajBVY87h+63PrpEIJ0ud8MOZ8fAdw39XZXtIVVFnebhXKunBNykf0GXyAEr15+HMJaTwtF5HUZkj+1VUguPbhRjllR12bARKKKSVGGNG1F1SCIKxDJIoEKNrdcLnV4VKlrrvjji0SDNE6gMCMUSIgmYEZriPG9Zh0GMyEmyt3aPeatEQMZnTXtdEenAEfKaiRFIIDxCpEiSqABE3uh4eakev+cHtj1wblAtNUc6px1kpju56CL9Uz0lRPcIqwN4apBKjrBFnPW1aFAZobb1mkc0IpD9Rt8hwQQBKMkhTjIWp2QVUHNM92KdZq5ObgsB6OrXe/5+9/3qy5NrSPLHf3i6PFqFlRmoJDVytSldXdU+LsWZzhsYHPtH4H/CdZjSbBz6QbxyjjXHMOCSbNHb3VFd3V12toYEEEkgdqULLE0e72nvzwf2cOJECwMUFcIGqXGmRccKP+/Yt3LdvX99a39duk4s15WKem/fuYFXGmKwUSExMN47Sa0QKpC0plBx8v0QndIh7MXGUkC+4hFEHZC6btyVuvoJUXYJ+yNzUNLvbfYJ4l0Yfcn6Z6lgNZEyh7HP37l3q9RnyhRw5VyDEHhMTM5w8qdndu0nOiyl4PTrNu4zXFbMzNls7H9DpbCGEhWPnWTo2g+W1SHSfbu+AKNJ0Wj0mZyRBGHCgDP12j4OmIokKLMzMsbF+QBT3uXjxIo67yo1bd0nCJmtrXWK3xbd+8F0ajRVQghuXrxN0Y9bWJb1Oh+dfOI90S6xt7rO7F1CrtqnWxpGuRiQBM7M1jh2f5ubt92h11gjCDjrq8/yLc4zXn+Hm9ftcvfI+x46dRvUNH16+zvlzZ8jbG6wubzIzO8lE2eX2B9t0d2zauwfsrK7zysvPkfTzPPfsKdqdCO3XONiz2O3YnDg+R668Ryu5gWwrZnNTuDjc2WiysttmcWGKavkMOpjhzbdfY+/gPmHYYm7hGM1Gj/WVBsKsgXSRTgcV3mFv/wBLRszNlfCdCBPGfP3UKd7u/Ar3lMeFi/Pce7DJ9g5MTI/h+JpSpc/2zhanTi1RL09x9b1bNHothNujXi1Rrgl6B23ijmZpto6RNXodi2ac8M7VK8TxDo6IePvN/8jC7AUmzsyDKTJWq/Lh9SLr6wEIyYsv/Sm379zEsjSXzs+wfH2L3/zw/8HavWtwosTJ58YJw/v85Kf/npmJGb797XNsbmxx4/q7zJ36FvlynvJYEUlEEDgsLrxA0c0B//sn3NhP7al9hH2CYP8vtX0eTkzz0O/P2z5zUOTjvvsYE8Oolt/fPi8H80eWO7oygU/TkKNv+R9xHjECjnzs7l+Aw/0fGgjzJMfiF9GPH3uPPbWn9lUy8eT7aQgyjIIaT9g/cy8dCdATI8c9CRQZKfbxwMdj/h4FZ4YfR0CRI/s+es7Hf36kco/W97OwLwIUEY98+OLtSwOKwPDaePj58HvU8asNjOhMF0FmDp7MoZnzc+zGewggSRK00VgDbqiRG1lImXKMj/DMD4CHUURSyNRxbMFwPxiJSia7WUeioocOapUKX2fTD8YItMjiz0ecTQzOK0RKFaX04wd6EH09ut0cZswM/tY683TrAfWXxZHsk0Fb0lSYbJKTSMtGqkMdFgbOYwM6c5amc5XEsrK6ph78VK/DaAaIlRACL+eBkERRAkhyuRxJFlnc3NtnbnoKz3FxLCuNKrYk0nPQUYAh5fvXpot0XDzfx3UdBA5YMs26iQ1aKZTKKLQQ6KwOUkikHNw0KSWXkNYQVchUPjBCo+MQKW2E0OTyLuNjFVa3lml1umhj83fbO9RqdeIoxLYdTEkitI1n5zh7+gI7u1uEQUi/30WbEpA6WZWGYqmElDbScrLFd6pvkahUyFsIi0QZlIYgjFHZtXZIM2SyNh0+HA71UzjMghrStWVjm+1vMnEGKQRKJXiuhUiJgBgIZlvDNb5OqboysFE6HsKkoJeULv2gizYC13fRJsmcoAakhWsZEh0gsSCxKfl1UAm2TPVowm6fduOA8mSFJFIoCc1OgyjJ0Qtz5L08fQ3tJCDShkqpTicCYdmAwugEpS2EVSYSLsL36fQiLDsFPYgF0rZRtqEvFXY5hwotRKKwrT6WjgAfjI82MqV8kikYZoxECgtNep0jNdIyqESAkUhpZbdJKjEN6fUURj2isI9S0Ov3qVXyVKtlZCgIggbSDjho7+H7DkLksS2FY7lEocbzPBARii6JtpiYqGC7Zbq7a+RqMdt39yktnMavzRKLEpYsYTmSRDsoZbBQ5PJVtIqIuoowaJFYHotnz1Ksuty7dpnxUoHFmWnef/PXnFMx4/NnCAWEUZrl04k1uVKVsxeqrG+scfPmAybGqszNzSDQqESjEBgh0djpZ522fyCsrYdTVfqyeJg1Nzp/PTyXZXPwKMXg4LpGZNegeGRtYx5XFgwzTB7N1jNH3pV1BvZIkTrQU/owlQIkGbg9oORKkhDheul9kC3ylEkAgy0kni8w/Qghujh0cXMCwoBq3kIkAURd2rtr5C1Fxc/jyoBEGXzXQaMRIqXtk6RAm5KD58rIAnRQfXHY7iFoziH4M9AZMuaTcD1n+8iHOnbwe5ihkvbT4VFDiCZLbEkpJqXRSAuMEmiV4DoWlpC0eyFYqc6KSsKMarAPGIS0KOY82r0OwvKwvAKO59Hp9cGycf0igUpw7RzNzgG2ZfA9h3zOQSaafA5qMyVwY4LIIJMY2xjavT7T82PMTkxz0Epobga4XgEtDL0wJDYxlquwfE0/CghVDt3PM7/wXTzRRymJVkVU0uQgWMcrGMamC3SbIbdv3+S735umWOri2BHNgx367RazU1XG6gJBk9Vwk+bBNrZlsbdrWF99n9nZY0SRZHV1g8mZOmhJpxexd9AC6SOFhyMVGrBNzMLMHLWyYfn2Fteuvo1lJ7i+odHaZnZhiuXlG5RL0xw/fYYuih/96FdEcQtLSpSByvgE0+MLRH2Nl7MZm5Z0gxj2A6I4RinNs89cwvMc7j24x737b9Js7HLs2HE8N2Gs7nHz+pucPVVjZtri5OJ3cd08H37wHkkS8cZbq5SKVcadIktLi8RRl+2tdTrNgIvnz3Nw8IB6VTP7rfN0m12iZsT+Vojwp6nnT9BYT8jbPqeWjlGrVbCkwbYsjHLZ3mnRb+4TLjbJuy5+zuLE2CwbG4qVlTt0DsBz8ggjSZKEfrDPwX6DMA44cWoSo7s0mlfYubfKhhQ4TsKzz52kH2/TCds0OzZ6NybXD3FdQbHggOmztnqH8YlJuqtNRJLQPWhSKZQp5n1WbiyzNDdDrljlweoBKnJwvQJG9ZmZLOAlAdWSYWP9Fvlcha2+pt/ZIOpNUK5USUKPlXstNlbbnD97hmcvXuTaB1c5Nl+nWLC5e/UOr3zjLOLYNO1mn9rYBIvHjvHqGxu4pVu88MwSMzN1tNKsLm9yq7VFv6l4ak/tH619ZSO8PyPw4ZFiP4tCM6f/V7FbH7ZPgnF82nKHL2HD/z7mmE/goPm04zcKinxl74mH7THO2ce266FB/jRj/vAxw3X3P4R+fGr/qO3jwI6H3q+HGRlPjqQ7LOsxoMgjLDlHAI0n/X7M/o/b57GgyBPAlUfq/ykd5F8q5/+oPabvvlTl/b72EfX5qHn5MxyvrzwwkopFZ96jlNuDUqmQUqIIQZIkKKXSjAKtwbazRUS2v0wzB4YC6w/bYLJQOsuakEdEe+EwW4GB7og+1LYwQz79jLLIpCLOxug0E0UILNtO66GShyadkUXPaH2yb0aBmWF0t06BAq3SOGlhwMhUV+WwiBFRb62RlpU50eWwnNQBbDIAZ+BQNKnIBulHrVKaHWHJLJpegNIZFY0AdAY8ZY5IKbEcG8f1UxFkpRBap6LpKmEgOu65zpA6RylNnGS6FlFAHIeEcYzl2Piej+d62J6f9ohO0FGCkKmAvTZJ5sQdAFcybSMpnU4aDZ6KcVu+jQ4TlI4o5Ar8+Z99nxOnz7Cysce91TVWVtfZWD3Aki6Ok6PXClERbK7vcfHSBfb2GrhODqMNtm1RyOfIeTl6vRDXyw96EsuyUVoTxQqEjbRshGWlQtWWTRjFabT+yLiLAeg1cuOn7RvQrYmR3xJjNIqB+z5rq8mAIBXj2pLsKkQIidQDH6kGqRAyra3JwLEoUoRGky/4eDmJsDVaKqIowJIOJlEoI5CuxHEciDVosJSbZpi4Cd3WHp29bSyTEObAeHm00ETKplCYRiJotAPsfJ7d/X2KtSqh49JtNijmXCSGTi9A2nk0Lpoibi6PjtrE3R4WUM+XCU2AsEAJgTKSXtTG0hEV3yJne0ig31cYWUAKQYJKQTZNeo+SHqtlgpECLcG1bFQiEJYAnYKbQqX3iO9XcGyXQAgqFU27tYfq73Dv6mXOnZrDWC2CqAWyTblWIulrdnc0lvTRiSZRAQiPXMEjl/eIIrh58xpqvk2uXEHbAeN+gpIVuj2f8fpxlLQQLkQKtHGxbYlfsel1+zR7HdoiYmxqgefKVW5cfoco7jM/O82Vt3/D6aDLyQuvcBAqEu0jbJsg0VhSMj41zfh4iZW7G1x9730unjtF3s3RjxTCtkmwUEMAJNNnMdk1NMxgOnTujzrvDyet4fRxeMkKgRweNzKnZd76NEDvIfCXASgw+ElP8Kh4phieN51WD+8hbVJqMsuyjszpgzIcyybRBiMNyhhs0inENhrbttBhl60HtynIFguTOeYmJ2ns9llamqJcqtHox6w+uI7lF8nnNaWyTxeDbRcxkUZLmxQWUViYI9luqSD9IFOPLMvscD44zBQ7BHsOe/Zwwfu459rg8TJKeTaCzh+uRR9e8GaPAKNBWmlfaA0KgyUFlm1BHBMFATnPBa0QUmJbAssymChGRSF+zqPTaVMoV1Ba4eYKhFrgF/NE2uD6ORzHpbG3Rz+KyPk5bEIMCb5n0e7u47mGfMGmLzWWcAj6MY5TIDH7bO3sEfcPEDKH5xXphwrfcxGWTRC12N9fw/MkoWpje2XiKMfOTotqIY8JXMJuhF/zUFpQ9B1yRYf93Yjx8WlUElGt+ggU7UYX346I1QFOQbG9c4/p6Qq1GvT660jpszA/SdCP8P0aYdLn6vUPKZY9EmVRrS1y59Yye/s9yjmXrc19hKzhuT6tpMPs7ASdbofJmQLVukOr26Bam6JUyXHz1ge8/PU/5877N8gVSqytHPD1b7zC6VOnuXrlOldv3ODY/Amm5o4RJTtMTk0iJGxtHnBwYNFu7vPSK5d4+eU5pqbHeJB3KeUm2NncoL27hQ7g9d/+ipnJKdANBG3KlTatTp/a2AyW0BRlgc3tTcqlAq7nI7UiSWKkNNgSVBTQ2NujVpkn0H0mZ+qYyGH5zl1+8Ncv8+ovt/E8l+bONqVKidC4mEBiHJdXf/sqzz5zAccLMcTUyhXGx2a4F22yvr7J3EId17LYebBOv6fQUlOrzmHbGtdO6Fcs+ntdJifGuX3nPrXZOsLJs9fYYHNb4Lox83M++VyJKEyYnZ3nxvUVbEvhWxZxN6AVGhxZ4dnnnicME6TTY35+gt2r91MwVRu21hqUPc2HH3xAHNoEQYvaWI5qKc/sZJXjJ85x+b1b5Jwam5u7LIs9Vu9t0WpucenCGe7duYvt5mlv26DH2dra5vjxMouLz3DjZsAPvvkM1fEqt25eo9vtU5IueTehMp7nqT21T2Xi4WfkUzsSHABfTvDiSY7fkYC4398G66WPKeujnBCfUwbDk/3ej3GkjAZ6jKxtHilgZLwfHvp0STnyvv3pqv3F2LCtD3XEl9XB/7FOrI93cg1GxgwG75GmfsJRe1ymyD8YkOmp/aO0h7MujnyX/nc0+2Pk+0deGUdotoZ+tNHzDPxrj1TidwBFxNFjHgNyPMKQ84QslY/8+xPb54AUfKnAh8y+dHX6OJDmi3kSf7WBEZE5fbOodaOBRFEoFFBJgk4USRyhtMaX8pB/aHh8luEhM4qYEUcbGXiglcqoVR5yFGXZGKPlPJKNMqRASp3Q6T+RRfRLdJIgpEyBiSzrwxiNFBmXvjnMDEihlaOTgxihTRpmvWiNUQqdqMPnPWlWQnbgYfuNzoCcw3OpJEl1LOCwHoCUA2fdodYKg0Bvk2m3yGwyHlCWIVPRemlhuy4qkXj5PMaSaG0IgggpJI5tI7TCsi08x0UA2pZDwXvPd5C2m0ZYC4OLRxAEdLpNOh2BtCx818f3XaxiIfXcKY3RKlXJNhnQk2ReRmGBSR0blmWlwFQSIjw3BUeSgMmZaSYXlwgTQ9Dvsrm9y707K3zwwU1WHmxy0OkSBn1W7q9QrVQZq45TzPm89cY73Llzm+eev0iz1cOzXWq1cXJ+ARB4Xg7Py4EBx3WJVYLWhkjFgCBRCm0MRgowqdaFMSLrW4bUb6MLt6E8tU6PMVZKHaYRGSWXjZQJRmXUUEIjRaqTY+RAi14xEGdPBdxTZ3ASpxkkruundFlxTBz00CLCsW3K+RwYGxubftJHuhAlfXJ5Q863CKMumIDxmkVRagqJpN9tY4sqytZIY1Mr+Rxsr3B88QQHnQNyVogKA/A96tUKec+l1+nj+UVagY0x4Hkxrb014u4up+aP4WDTanfJ+Xl6fQNugYN+h72DBtOTeXTcJjEtqmWNZXL0Qk0UC6ycjzYq7TsMQqRaJEo7IMDYmiATt3eMhSUtpEmFpMN+CmDlcsWUYqlUplYdo+zbVL08SW+fqdkZVtfusL/fotfqU/JzONIi7+dBW6g4FXzP+3WarRa9XkgYGS5fuc3SqRPkwgjH9xmfPkatMs3e7j0K4yfoxBrtSGzHzUAtQ77korVFokI2dlrUKlXOf/1P+eDdV9naWWNhfo6b779Dp9Hh+a/9MaGBTqKJM3F0YQQCnzNnTrG9vs57l6+wdGyJ+cVZDjoxsUqQrj8gz0NgsKw0c0SrVKNFZnRjA1/9w8kbD30YWQ8NSd2OUOQNAYCMevBwCs9aPZLtN2qjWX0DmrjRuW8o/p6BJYMsP63SOd8YMDrVXkqBVE1i0vvGs22Cbg8PTcXziZtbuHi8dHGRG9cNb//8l5SrTeoz85Slh7YElapNsSjoxgJlp9pWKnv2aGWITZK1/jCNYwB8jPbRsM1ioMki0vSykV0EKaWY5jALcpRmbMDi+EjGIyPf8xgbAFA6A2yyemqRoSXCkCQJvhT0ul2CoM/84hz9qE8Y9Mhh6PVCbCkplYqEQYBKQoTIpSBh3MexBTu724yNTVKpj9PvdVFRm7yXIw66NPYPCFpdgn6EUhDGhlhLLLuC6+eo1jTlksAyTSxitDkgiPqUS2O4nkVHttCJoOJUCbWh11ij4Ic881KF1t4Wu6uC2ZlJdrq3abVXcWWPBw/2ULHNpWe/iUlCrl29TrVoEXc9duIDLAfa8W00NlOT52k229THikhpaLckD+5vYHlNTpyeY23T0Njrsnx7m4X5JRaPX+Da9fchHKdUKrO5ucvMfI1qpc6DlTWeeeYUtQnDbqYn1Gg0OLa0gO1WWTpRJzZnaXcV9co4nYOQ5Zv32d1p8twLL9Dr7vLG2z/l7LmTbG6tsbPzAIzN0uIJHtzdIOco5mfz/N0P/x27Ww4iKWAixcxMjTBoUx+zmX/uGMvLyyydqPNX/+xl/vbvXiXUis5+mzCE6YkpytUJOv19PNem2w/Z3tLUyg7nzy+y1zhA5PaYK1bY3r1GEtym01rnP/7bX3Gw36ZSnkFIn+nqJAdqmfMX5jh27Bj/+e9uc9C5het6JIlAKJeVB6tMzdSw3A7YDRJlUSzlkSINOHj9t1c4c2aR/d0GtpUQqAPipmBjp09oK6LwgPn5KcaqY7z/7tv0W5KqX6PdDrnd2GB2MY9tawo5g44S7t/dJO63kFadJPF47yfv0u3GTE8vUqpY+EWHze0dGtuKs+cukiu46K7BKQgq9QL3799IFbeSgMWpMRwD5WqBW8vvU68XGZ+a4t23P6TglmhuFemqAr1unb/5mzvcuHGPmclxtu/fxTQ9FguwcOEE3aBHN+xw/cZ7j7tDn9pT+/ztH6rD8HNy6H9m9lH1+qzr/KWNln2MCQ6Dw44gHCJ7YXr498hxj5T1eM219H37MJjky2ePA4fMl9PBP3SifgbX2HC9+1jE8JMVADw2U2r0HngYOHlqT+1LayPX7WOyOAQj99/H3YeD+XAIijwKbojHbDt6wsd9/xFAykdlonwScOTT2Of9vHti/3zB9lm384teJzxyvT5m3v4M7CsNjBzqKqRZB+m6J6FQzJGoBKVjkthKha1lGj8/pI9KSxiCGtqkVEzIlDZmEK2rB/5mObhnRRa5PFqHo2utIbCCYaBlYkx6bmky4XAhs0jdQ+qXQZbL4F+24hvJPsnaMQrwjEQ4a61TUfisRoeBRKPZLYfOtcMyNBiJ0UnmFMzEkM2hlonMAJyBqSxSfKhSLGTGx2SyazUVkB/OB46DACqVKq7nYoxGxwnGgGU7oDS2LRGOAyZ1RUoE0obEpHRXtuOAa2Ebg+fZaFMgCmNarSb7+22kEBRLJTzPw/N9hOuCQ0pLplJPnoojjBAIx8G206jmOAxxPCcFcJRBJYYrb71GEAte+Po3GRurUatXOLW4wPe+9Q26nZC7d1f5za/f4MOrN2jsbeDncqjERwvD9nqD/3T/h2gV0W11OXH6Yir2nKRaBsNrQwj6vR7SkqhQEcepsLnJnKIDgCl1kB46gtFDr2S2TQ+v7WFEfraQ00JgWQIry5yJhMKRGksaQGOLdKxkNpSJTojjHonW2NLFclxsx8GyHBKdYNkuxoZEpw7sdqdP2auDFrT2miR7fYRImKxVCKKAOOyC1ce2BZIulitxSQEhLI9KeYLd7TvkLY3urWPH4GlNPlfFBkxoCKI+wijipAdWCakjeu0GB9vLnD0+Qxzs0O2H+F6J3a1t3MIYKBdbORxfOsf+7h2KrqBSsij4fUgCcMtYTolW2MdybbQ0CB2DcAAPTEqrlRgDIiafdxFJgg77eLZDHCXUq3m63QSThKgkppD3CU3CQfOA+YVFVK9EogKiwKJUL1Kv5Ai6DQwx7U4T3/Pw3Dy27RNFsL6+R6Lh23/6V7z+2hXe/vA+hZLHg41dyuWrHD/1HPPHn0OrJvlCmV4cp3OXUggpSJIIx3GwyFGo+jR7AT0bnv/Wn3Djvdd4cPM9quUKGyvLhEHE81//AQIP1/HBCCKlyDkOWsP8wjxj9Srvvfs+d++v8M3vfp2SI9lpKFLKvUGmHBntnki1ZXSa4WWNzBVDSuYn2BGnvM6y6CxrOG/pAWVidh/IkblcKT0yt8kheDvMrjjyafScI/dPdr+IjIbKsm0EFkkYYiwbaafgiI4TDGmGna0FxZxPJCSJBs/yyHke9+7dR9pWmqVngysk0pVMTVe5+OwUf/fTHYwtkNZgEZi9yCsBOlu0Zvf5Q1j7aC7Hkbo/hJsMI+iOtFiM9Ek2KT+S+ny0kMduFoDvpVOTAoQFlnCQxsJEkCsUUb1uCuRqRa/TxvFthDAkiUZYPkZ6KCOJkj5Ga8JeF9tx0UmAY3m4ro3vu7Q7faIwwhY2QRTiO3kcDHZOYntFUBZa2+T8Cp1OjxhNzsmh4yY5X4Np0Ni/S6Vcobd/B3+szDMn8xglaDXW0bkmS4szlAsOhdw+Tr2Nk9gEyV0K+Q77+wfEoaZSKeDm86zcW+Pk8ZPsNzwC6TI9doy9/ftMTpfwtKLd65PQpt3bZ2V1F60tXKuC7ZRZPH6MiVmP8dk6d5e36Xfg/r1Nnnv2EtIqcOf+FiePz9KPIhqNJtOzdSana1y7+Q6z/Rz9fo/WQYLjTDIxXuXZS8+zttVC6j4Pbt1henaRoNdmc+MB42PTXLp4hvWtmJl5myvvXkGYPhfPLfHyCy8TBXD18hv8/Cfr/O8u/Rt8RxJ1W1gi5uTxYwilOH38PN3ufe4v32dueoL3L79BbFrUalX2GoKDZhMVWTRtjw0v4uaNK7zy0ousP2iwvZ3w4N57bOxs8e3vnebqtd+A3kNQZHyqzvjkFHv7DZ579gKOPcWV9+8SReC6NraT0O1vMDXjE0TbXHruu2yudrm3vEm/16dYdCmWHGbnxvibv/kptpxkfu48W1s7LC3N0GwofvvrD1g6Pc5L3zrHz37yGq0DxXe+9y/xPZe//0//ibvhMmG/w+zEcbY3AtotQXW8gjJ9vvftl4m7u0QdzTNnvkGna/Or31zlN69fo1ydYXwyx/kzx9Fxh+/+8ddYWd/k//B//O85duoF7iwvMzHhUfNKxKqH68bkfE1uskLU2+TcmTlm52fw3S6lWoHJiQKnz8zQWOtyf3mdkAovf+cv2dhpolSO588fR3c36B+sEuoDpmsd8gWLubk69kBz7ak9tS/KvmwO1i+z/aPuq8/HWfF4G3kZf8yf6ULIPCGDhJE/PrrCj3e88+UEHgY2qNuXso6fwqH2SdrxyPiPbH7Cd4/W6QkFPOGrp/bUvlT2JCf8cPtHARQPAR7ph8cCLI8/7+jfIy+No+d55L3zMcDJaAbJw8d8UlDkkzrtn4IiX47yPpV97KQ+susnr+9XGhhBiAwkyISkhQEpKOTyWEJmkccKFceYRIHQh7RPkF6rUqClxEiNFmANHNIGhCWwnVSbQ8WpA04L0kh7DiNvD+eNDMBI0REGXPVDEEWT6ouILDJ4QNJvZ8LhWqZCwZYcEvcPwAkyB6E1TOEQD6kKZ/sonVKMjUYDG5NuG1B9ZfsOgBgpJUiNkALbPnQ6JkkCpH54RUrKlP6dAiAKmXLvIzFYaR9IgTFqJIo73XegWWGVShRLJUwYYbRAJRrXszFCppkQWoMjIVFg2UjLwjEpl70WComFcBxMFCKMwfMcqtUyppiCOb1ej1azR7wb4zgOhUKBXKkEro/wZEqWpFMaoCiJsKTE8X100Mcq5ZA5i5yC3a1NfvGbN/h3/+4/sHTsDCfPnOXUieNMTU8wVs8xMXOWV145ydr6Nh+8f4NmM+Ddd68SK4Hrlci7ZaQI2N3a4+7dn5ArlcjlCsRBgDAapeJMnsXgug46kdiSNNtHabCszHEqMSTIDKhKAZL0+hxsYxARnw25Fin9T+roNQiT6sBYGKTQ2DbYFiDU8DZCpo5XjYXCSy9Wy0FKB4FE6QStNfl8EcsRhEmMVjFBp0e3GxCHilppkupEjl7YQIU9ekFA0atQzNfpBdvk/RrdVofdvU2mFots7zfo9yMWJycQ8QaOUPQaayyOLWLlFN0gZGc3QNg+5XoJQ4LlJDgauq0Wz547iVJtms09FhbmaDQajM95YHokxsfEPkFXUC2dwE9aSLNLGGwCNkbFSCuPZ7loFLYMkU6EMRbERXRcwiiBsBMKhYSk18DSCbZKKPoFjIQwaDBWKtLpB5TyPkncZ397jXZzh9ZWQLXoUS1V+dY3v0e3tcfKg+u4dkg+b5HoHgiF0hG5nE+pXMDP52j2E6aXzvO//c6/4sc/eo2D5iaXzi8Qhw1ee+Nt3r1yk8ljZ/iTv/ynGBUQxwJLeiQGLLeQsqFJgWtZWHaeVqvJ/bU9XvjGN5gen+Td139N3s9zsL/GzWuvcvLCK3R6IV6uiOs7RFGCERadIMHPlfjGd7/HBx98yH/5+5/x0iuvMD5ZpN3VaVaTNtlcluqyqBgsy8JzrCMZdulUewggm8c8n4TIrml5NEsinRLSDJJEJUOgZKAFks5XoFQ2945kkKRlCWSG1+ojmSoD0PHwXWtI6yVTxkDb9Ym0IdEC2wbpOsgkJIoC4jgitiRJbJDCJp+vIKVFpCTXb99mfmGR6WMnSMIuhYLH0rFJBDa9Xg9bKoSwhm2Q2sK20syOtK6ZaEumZ3PIhpV+GF3XCkGWnaOH2TWD9g2ouYb3+JH+5nB+5rAPDmmzHoJhRtbTWosUa0ajsrkj5dQyiCjCJu3UxcVFEhMSJSH5nEfQVjheBSyHlY1VZqdr9MM+YdSj4NkoHaKNplLM09jfpV6foC8lYdCh1QupTE2TE5LNnQd0+gHloqJUr9CPwbUdPAtMfAB6C2E3aR+8z1ilSRKG5LBobXcxXYfnnnuGfa/F8cky+xu7bKwGTM86OE4HkjbN/QO2Ox1eeO4CnYNNpOxSqef48Oo6vXiW+tQS3f0DXG+CqRmIzC7KwPb+PsXaMfYOunhenaAHa5tdoMDmmx9QqAUsnVzA9TySKKE+Vub27bucPnWRk8crNA7WMa5Pt5tw5er7nDo7yysnLyBlzLtvfch0/SQbG3uocJvbrSa2U6WWt+jur9IrKCYnxvmj7/+A8YlFlArpdNbAxLz47CVsGZHze4yVbV7/4A3mZ33OnD3D/eUHJD2DKy3OXZhhftHjN7/8FWFSIucr2j1BGPVQcZG1ewEaj9XlO8zOzDA3O4c0ktWV28xM1nnvncvUyvMEvT62W+Xuyi65K4bp2QW21jc4dXyaXK7Or3/zOuMT4zT6+7Tbe3R1m9WdFp5v0WxGNJpb1OpFED7Nxi4PHuzgOlW+9Uffx7EClAixHIdSYZpnL32bXj/k7r0bTM9e4vbNZf7yn/wF7WCP+fmzfP0bBX7+4zf4P/+f/gdOLp2gVCrQaXU4e+YijuNy48ZNHHsG4RTY+2CTbvM1vv/1M+xttbh8+Qrf+cFf8cxz3+DXbzRoNCXT0zNMzkyys7PF+vYVnnnxm/z5X/6AK1c/QKEoV6cpFPK02suIpEO3M8bc5Gk6lRyLS4vEKmBxdhzH0xw0rvKNb0wTtx3eeOMud1f3efuN/5lOEFMqlLj87o/5X/7Lv+TuzTWmJn2W7/yWUCle+ea3Odhdf3QSfWpP7R+TfdkzPP4x2pdpLB7rMxGPfjRP2vcTnuDLfB2OgiNPsq9CNkT2fpB2+acAqQYZPwMawcddF4M19mj20RP3+V0b8NSe2hdhj3u5zv4Th+/hRx31IwDGaMbckUyPJ4ARj5zuI0AO8bhzP2mfo/6Dx57747Y/yb4oh74Y/veHAUU+r3Z+KQCREfuk9fkd5uyvPjACoDUahTIKW/QZ0GHFcYxSDiqOU0fPUFiXQzRDylRPwWRaG3baJUapIwsKaVlHgIpRB9zgZ7A9LcBkD+GBg0mkzmYG+0uwBlRg2SHDAR6SIw2OHO5lhEAMvn3sHHVY4iDrg0G9dObQfOgHyACOAZdgSiljzKGOhdYgZZbtYLL+0wqhUvIXK9tmVDoWYjg+qVdyEAmOY5PL5Wj1+iRKEUUK27ExWqNMgp0kYDsI28qc/hohrZTqRkowGpNEqY6J44DR2GiMTJ2l1fw4JolRSYJSmiRJaOzsEEZ9fNvFLxRxSlWkl8cxAqE1AoHl+aAUQimQDt/6znc4ffYiq+vb3L+zzruvvcprv/gx4+M16mNVpmenOXXmLNWJGb7x8nOsre/wF3/+J6xv7nH79l3u3r3D3m6XyfEJSpGhG4bEQUgzCHAdG4kg77tgWQiTCounMjMRWiVgHV5bR3VtDkd6MF6jmSIDWqCh+HXmORUGkCBIcCxwbBBGpRiLEGghU8ouy8Kzc+l1ZHQqag44toMQJtVGiQRC2thOGr3rSkh6IVEUs7fdR9shrm2hjEUvVERBD4jRrkRbZUq1PAcHfYwpUB2boR3sMFefZfdghWJ5kihWdKM9Ih2jEvB9F2n1Kef6uJ5NpxHjuxaq16TdXceyFXHYIO9ZCBGQzyf0ggOKhSqdfoEkkiRBj2b/gFyhR7UyTRQKdBxRyBfoxn2kjHBlgiUFjtBYaGIjcVwBcUDRE9gqIWdr7t95h1arSbvTwy9WyRWqxAkUCmUmakVmxxfZWr1F42CfQs7l57/4Ef12E8+FuekaDpK8nycMY4zRWDY4nsHyNLXyJH1j82An5tlvfR+JIQr2iPr7/Nf/qxf5yY9+zPL1a0zVK5w5fwGRK9MODdLyUVhEKsESFhKDawsm61XCvs+VK6tM18b5s7/+13zw7q9ZX7vJ/Tvv4bge8yeeJQraCLeAlA5GGGzXpRcZLGN49sWLjK1P8M47b7KwMMvxU0sY42KQJIlBCoHrWkRRSsNn2xYDrZHHrqeeBIwM5rjhdZ6aZVlISyLMIc3WYO4d6INYlkBrk/0MaLhEqoWhs3eqkcDB0TodScDLZtA0kw0cI9EiTThDJ2ASjE7wPIco7qVgsuuTGMn6TpdekNDvh5RLZWzLwbVsKvkceVsSdsBECmkEjrRTOiwDlk5JtNK5N8PEH+onpTICM3EIMB0+wgRCWMP3widRZB39PChKPPLePNg+WoUj32MycFWSkPWNlNi2hW3b6F4XgSKKIqKkTxB2wRLUxqfRscAWmnItJEoSypUqSkcYFKVCnkgJ7q3cp1CoI3VCHHTxPBdplWj3ekjPp1yqEMRxep2pBJVEOLZGihDXO+DUosOxyQIr9zTbW2tsra9z+vR5HEdz99477G/00coi7OW5e32LUn6CsOTTTLbZ3d5CW0Umq+Mk/YjdzS0KlYRqrcKpc6f56c9+xXe+8zXaXc3b791A2rvMn/KpTVWZlg77rQNCBbl8ndNnT1EsNdjd7VLzBI3ebV5/7TInT56gmM8zPpHDtyfptjr8+rW3+Pq3nsUvlXnvvVt4hRL9sMfd+2ucO3WC44vHuX+7zdr9TeYXJymVBX5Osdtt8k/+9JucPDfLa2+/TvPgNvkCPFhZw3cd0DbnTp/h6pXXWF2+wvHpGqeOzTNeqxAlmr3tfcIg4Oz5RSZmLCZmDH/6T55hanyMtdXbfHDlJru7FjOzJygVSuzubvPixdPkC4Z6LaHV6JF3e0xN1TlxbJL//Lc/J4mLPHPuZVr9hAcru7j5eVxvjNfeeoeF+RPUJ+rs7O0yPT2H0m2QXTzfolBwiJOYoK8olUvMzdfZ3t7j5MlJVFgiCnvcWV1mZ2+H+tgExUKZe/dv4eddckXNQXOLVneXc/VTeEGNa5evYnB48dnzvPPmVYJewPe++13ev3KZ7f0+Bwcb5HKT7Gy3abS7WG4fVzj8vPMejuVw//4Oa//2P2BknVplnDt3t9nd6fLz37xOsdLmvRuXubG8R9wHEWpq5Rz7Kxu0VvtcujjG+GSVbqvBjtyg34/41S9/TrfXA+EwPz/NxWcW2dq4xelz53glmadY3KHT6/Hc+dP89tU3cSx49c0fE/Q3KU0sgJ/DSeDmhw9YW9l+dBJ9ak/tk9gTuRK/ovZli4j/3Kryqbz3X4x9Af3/sWcQHDq1B131MEXS4677wXG/q/D8qOPr923/yLv/0D6rLv04UGQ0pfvzHMff16H2UZf/8LuPGMfMMfzE7J/DnTgKkAzMHN3nyzTnPLWndgSUOJwHh8w6cHTOgkfuSTG67RP8PixOPHT+0d+DYx6z/aF6HDn/kUo9vr4fa4/s/jkufB5Xt68iIPLEw/9Qi8bHPBs/Z/tKAyPGaEyS0psYkWZA6DBMKaukII7iNNI4SVJ6KGkfRtDCkRs8dYgx/JsBjdQQAJEPnXtkkLLjGQUbBlQokC08UqURRKYXMRBs14Po4HRnYwxK65Q2fghWiDRLY2R+wxx9+A8mv4Gg+ijv/qCuSqVObjkKEB02KHOEJ2nzRSZKr9URZxxDWEagDAiVASVGYEmZCXYPAKDD+hqtUvooFeM6FnEcoWKFUglau4cADqTghBAZbZiFsW0EA6enSrvOttK9TaocPqQji8MMBBM4lo3rOfi+i1J5gl6bTreBarexvTy+X8BxPaRlY7kudpzqcGgpyedyzM74TE3P8OKzl2i3O+zs7HL/3l021je5vP4+b79xhXK5xrETJ6nWx2g1tjm2MMaxxedpt06yubHHg9VtgsSw3zhgZ3ef/cYeOonotQ/Q0sLLCVzbBmkwKiaOE7SK0aTZS4fAmxwCRYPr99CxObh6dZopMkiK0imIlg6Dzu4Bg2MLHNsgE4URmbwG4lC3IPtbGImUFmiFUhqJhS2twzFVZNdqRKFkcEJDEAt6icRIF7/oQdBBRz3KxSKNg32QNTyniCfBcvPEWuD5VVZ21gi2I+ZnJ+irmEI1jyUMFcvG9UIsuYUIt8hFAb4aJxaTIEIm5soo06PfO0AHJfyCgWQLV2xgEs28fxxlT/Cg18fPu9hUUGERRxbpxhG99hbGClBxTIjEtUHIEKMdjBHofsDavdsk/T10sE/eTSj6kponma1XuHrzFiYYw0gPHTQI2gV8L8f8zDGSpI2UPQolwdzsIvVSjZzjsnJnmUouTxyC5/kkSY8wbFAoWCjfxyuWCITNQaxJ4hjfr9Bo99jdjPj+n/0Lpi+/y7XLb9La3uLkpRcoTp2kq1IHvnBsdGKwBJgowhhN2fcpHzvB1vYWvVhz7Nwz+EXB8o13+PDd19HK5sTpS/TjPsIWaGkTKYF0LLQwNHqKsckJvvu973L79nVuXL3G3PwxytUaGE0QxhQcH8+zCCON0mZkQcQwSmU0YORhG86no9F3wwyIdC5NNY/EEaF0pRRKKSzLHmZJpPdKliWi0r6QRypwmGw3PN1InQYZGtoYpCXSBEKtU5DFGFQco6RBCIMSIKTNg41N7m2tsr62yfj4FHkvj0myrC0Nvg1hV0GskUkKZliZP0caiTQKYcnDeR6GIKfW6VxgsnoP2jb4SbWBRKb3IkhpGw/bczSg8fDl7hDDN8PzDR+J8nD/xyydMTrNVDHysO8MKQ2lsCziQCHCFPRL+1KzvbuHFAUqRR9he/SCHtWSiyXToIb2wR5CulSLPq4jaTV3cRwPITWRClItJqnJ+YYgPGDKWaAd7mFhIVQfy+oyOxPT737Iu++8TSUHOdunVhxnf3OPStVmqj6JrR3arYCCV+e5Z87geR77rVtMzeRYOvEyt27tcW+1TeegT7WaIwr22N3d56BZ5tTZSwSRoFyfIu712Npbh80u2x1DfWqc6blZ+kGeJCix24ixnDoHzQ61ehmLaRbnq8zP1UmSPYq+xlISHfnkCjV+/errPP/iBSZnp9GRy+7eCts7t6hXCpSKkzgyZHpsgvFqCdvTLC7USdoO6xvbLM6foFC5wPrOPrdv/RzbqTAzeZqwbzCJYXKsRrdh8/ZrrzFWnUMLlwcbG4xPjlMp5/BzIYg2N26tMD83Q6hjnntlkYWlWV771SpvvXmF2ekZ+t09vKU6MglIvDInFheZnznLwf4Gpy6eZWmxyM9+/g4/+OPTPFgrceWDm2ythQgRc/P2OufOP4/odtnc2MYSaTaiZ2mWFqZYWbuFMYbx+jxXr3xAELXJFyT5gmS/06fbd5DCYm+3xdT0MepjAiEVfsFC+HVyBYvFY9P89tUf8Sff/2OizgFra8vESjMznafbU9x7sMrY5DF+/LOf0en1OX9ujFw5j9GKnD9NuVSiXIwolXN0wzwTMwtsbnaJ7occW5hHWDkCrRFGUpua5Pq1A/YetJkolDk5M8nF86fZ3LjP7HiZD668imXZbG92OLZ0nhqTNG5vUinMUcmdhGSC7dVlGlu/xHMNp44tUCzMs7Pd5eXzx2n0O6xs3WPh+By3Vg+49v5N4m7C/OQS0riPTqJP7ak9tT+sfa7O0n/EjtjfFbB4OAvk4zClTwuOfOYmjn78vJ3vD4M7nxfI+KSI809VFo/P+PgkA/eJm/aw83YAlDy0sD6ypn5qT+0PZA9nYwx8OEfeuT/i3huCHB8BhoyCLYxuH2wcAV8eibT7CNDkse04svGJdf5o+wId+eIJ7fmi7feaX78kbRi10fZ8PBfixxX2iff8agMjOgEdZ47g1FGuDPg5B2mldB9aSVSS6W/olCZGGMAamTFM+qNihT2IphqoB8uRsRnSi5iR8Ro4pbMFhU6zI7KSM9CGTDx7QDuT6pwImTn/hSTVlZCIzONkMieVMKkehRwBJFIPmc7qqdPMDSlTp1gW/S9E6rwyGQ2VEIcZLoYUnEkP1wxE4bVJnZpDChqROkaH1DQmrafMWmwJC2HZmfMvBUSEEGkrjcFohbRSqrOBPi9JTM7zUUlMnMREKqGQOSGtLCsHk1Luk2V0ECdDh/1QIyVO0sncspC2k/U9WI7BJCptl07HSwqJZdvYhSI5o1Ea4sQQ9Q+IOmBJC4FIndTaEAQxxdo4tuuhE420BZVqkfpYlTOnjhMGEQfNDnvNFneW79PrdQnCiHfffZuJiXEmJupUq1WmJ2a5dOECVr7A5tYOO7t73Fle5s70OKvr62zv7JLEbZLIQNJHSEOCQEsLjU4lRmTqWAWNHDgrDanzd3gnpAt6JRKMFGiR0ptJYWEbkKTUalpYKf2ZBXk7wQ8DNCUiI9ESjJWOawJIDbZIs4SEiBBYCCyUzrAomYItltBo3SdMEsIwRogcjmXT7oSoJKHqGfI2dNvb2FpSKE5h8HAK0A6aOLYiCVuYRFCpnaLd15TrPv3+HrYdU3BddNjDMRH1vEH00yyMngSn7LDRWEXYDlMTp9hbB0sp+gd9HC9G6i6evY/luNQrFoGCKCyhkxyhMmB6OHaC5XmEMk+i88Qij7QcEAZPSoKeoD42h4gqtPd9Nh7cICq77Gw/YG52jErOZnIsD7ZPrjjOzTubaG0R5AWtVh/L7uD6Hls724T9kLnJKdych7TtFHiJNUIlVHMe/vQUWz0fECgpiZEIzyPQmvL4Ar1Ol5XtgKUzz+D7OdbW7/DGG29w7Eybk2efRboFWt0Ix3ExyiClhYVNrCBWhrGZGdqdPp3YMLl4iWKpzvUPrvH266/RbDV5+RvfRVmGg24XLAfbdRFYgCAMDLZ0OXXqHI39LbY21uk0W0xNT1MrpeNtpEi1IjJ6AZNlPljZS8WAHerRR5sZZj4dLuQGb7Y6c82nKIAcLtDEkaw3rZJDaqrhPumZtCGd4UR634jh7DxSgxEgRiAwwgwzOoQBS0hsYaORqKxWYaIIYhDaJmn3yRcknpvHGAdpeyijUCJBuBZKSHqRIVIGmSQEWoBrZ00VGJFqsmgB0krnJ2FE1pcDMDtt0SCZcWBKKfrdPo5jUygUSDW3DJYlh08heHStqodlDIB5c7hA5rALh/mL2aNRykN6MkGm/Z4xWmohcbw8RmvarX1KRYdiqUwQ9lCJQoqYXi8kb0tK1Tph7wATh1QqBXwpieKYSEX0wpDICMYm58ARiERi4oR+cEC9ZjM5FlMQ+5gEFJJCQRD3NrGUZnfrLlbcpFQ/geoJpibHULLF/Qe30Bqq1dPs7kbsJlscPzZPmGxSrEi0JbjzYJuZY89hFzWFgo+kgWGf5bvLCFFhcnKam7ev0e/0cC2B7UCJAo7w2LjXgqhAp9GiUq4QRV2EUOSKAsuDgl0nSvZYX9um017jxOIC7cZt2q2YcrWMjg3bGxsEPQdhSgjtszB3llazT9TbZWa+ytx8gU5/h24rIOyE+I5Fa3+LX/3sR8wtVXj2wjFOn6zy299exaFNpAS7W8tMjZfx5SW2Vzdp73eYnltARAm+9HDKEm36NA8aXHz2HGsb62xv7zM2Mc32Xot8qYp09rly9TrzMzVypQoXLp7j9q0P2d6+zqVnLxEFCe+9/ipTs9PMTJbZ3riLZRwunjtDq9Xh1vKHvPDsc3h2iet3HnCwG3FisczUVJ1Op0Ovf0B9LM/E9CR/93e/pNnu8nzpFKWSolz08UWROzd32d07YGpyll43Yu+gje0aaAdMTI3TbgVcv7aMEIowjmj32kQqYG5hkcuX7zEzfY5uX9PZ3efrX/8BzVaTu3eX0XGIBAr5HB90t+kvukzNFLl2630iYVhaeoa79z9kc/uAQmkRYh/HL3H7wSYlJ0elrlmYqHDp3DGWb7zHyZNLrN25T7PR48/+6gfcW73PQX+bcn2RF771bdoNhxt3t7l29y4P7t/i4tk8J5ZqNDvbXH7/MpZVptuzmD92mpWVmM37G+TyBU4uXmR7s0kY5+l240dm0af21D6RiUefwE/tK2BP9AsMX1C/uLp8gfbREf4fY8OokGFpv291Pvpcn7Wj/Pf1BX2qc34O4MjH0Xn9TmU9uul36aZP16UD0OyhNgy3/cO8957aV8UG78uHJh6zLf1iAJ4cghvDd+Ij23nkePHwd6OgyJEXx8d8/8hxR+v02NlhFJA5Ahp/zFzyUd9/2Zz/n5V9bpkiXxL74nCRrzgwQuq1SgGF1HmltMb3vKHjR+sUGDHagEkQwkq/sDhcyGROnowvJYuWHYnchcOXCZMy1ZtB5H5WhjEaVOqQQg/j94flgY20RBrxq1KHMpph5ogwKV9/Ovg6A0gG2QGHTqmRMN8hKILKAAmZlictMcygGQAeKaiTibpnocbGKLRSYGTahxmgIjLHOsKk4IjRKUgh5KAEjAFbWli2g1FpNseA9koICUalfZGNDzIdI1RCsZADUi2MOEkQMnXyW7aFIuXZVxqENAidgjoyA0qygUqnfNtKt+mMZsay0s+WSSPEszanHsAUKMCkQuOOI3BFKqistcG2HVTcQxtBFPaJeg6OXcUtFjHCSYGYKEZY4HoWE5M1pudnuHDhAnuNFjdv3cbzHXrtLteuXKV50MD104yTpdOnObZ0gmfOneDZS2fotLvs7u+xv7vL/bv3+ODK+9xdvk2718KyciilcFwfVJw6Ra3UQSyRGCmGYdpmsA63JEbozJmrESYFqywElkmVQ9IucEH6CBzyFlg6BpndCibTjpEZrY8c9F+CEBoh0mh2I0Fn4KEtwCQx7V4H21K4uEipyXkFEhz6YUw3OMB1DarXZaw2RZLEWI6LkQGwh4l6WNpQLJcxSZ5et0un3WViPAe6S/dglZLnU9AFulttSjmb2LTQqkW/ayjkwFg2Sdwjly/Q7yW4skzS7yONROcshJOAjAl6Fr47T6JyJLqPtBKiuE0kNH5hFqUqJMbDKHDsBIQGt0ixUMa3DNX6DJMzJ4mDBk6hTr+zycxkjfffeZNTZ84hhIOf93D8HH6+xgcfXsH1uszN1kH2qY3XkI4moU8QO9iOjWM7FFyP8VKF3YM2VqzxpUsvAznT6cAiMeDlS+T8IkIapo9fIDc2wfXr7/HOG7+h29jk2edeYLw0RaQTuqFGuC4aQZRojJSoGJxcHjvvEfebWHmbC8/WKBRvcnv5Or1+h29854+YHhtnrxmRhAEGgevkcZz0eKRDbWyGfL7E3tYOyzdvMX9smlp9jH5kUCa9VkwGKA/AETBZukO2hHvkIX4UFDkkBByAzOZQX2lgIylpA3otzEBrQw5B1IQMQNEGIRRSWsPsk4HJx6whk+zZIM0AotFoDbbt4nkuwnHZ3z8gigOkjhibmiDoB/SDhFhrtFQoqTCOBEsQKkG+VEw1pWJDFCdYlkRrhetbKJWCGanuiEplhiSoJMsizETnpUi3k4FJtm2TJBaWHMDnmf6Q1iNZIOKhdZM53C7Fke0DEHrwMjgKWKXPvsPMsgFIPgCVLMciijRuvsh4yadzsEe32caxDJYwGNOj1w/wykVa7R5F3yPod9jb2GKsWsLDUHQEnutwb2ubUr1GdWyGThxQKvicmp6ksf46pcI2dbdITgvcXB4/7xC4Bjvpce/Wfb798hlce4Z+v82DrSvg7yKdAptrbU4EE7RafZJwl7GJXWpjkuUHD9jY6XHm9J+wvZfQj1xK1QoojWNJhF7HaMVYrYg2CY12g+mpSarVScpFH1trJgoV3NjD1m2ibpNcoc7O/ia2F7K7v8/CzCnaO3u0D5pMjk2wu90l6ncR2OT9cean5ynmDCbWtA46NJtN6uM5SkWXvf19ivmIY4t1JuwquxuK2zfuMVY7zsz0OFgHdNtbbKy2KJTGOHm8Sr/b5ub1q1w8d5E7t+8zUa1Tr0yyG+yRBAE5xyPqRjQ7DQp1h0RK7i7v0+4q8vkaP/zRVSbqsxTLZcYmO+QLZU6fXuTa7euUajVef2uVfqtHEuZRSZ9er8Hx48+wOFdiY2ufnb11CuUS/V6b44vj1Os1Nlb2qBRm+cYrxykWPFqNA6IkYn3zPl5eMLMwy4nTs1h2jnyhTK+zRdLroyOXs2fOsvKTn1CpVanX6xhhs7m9yfrmKnEkmJ0+RbUyQxh0uX7jLl5OMr2wSKQlY5NznL/0Ar/8xXvs7R/wtZk5dnY2sQTMzM7juy5xEmIZyYnTxzl2vIhfASPyjE9XWF65RtCvkIgqm7f3UTqk4DtMT7r85V88Q9TZ4u9/8reoOMQtaPLFAmOT0/zq1Vc5/9xZxqamuL+yh+sWMe4EjaBDqWbo6YA79xqUqzlKtRxOBc5dWGRnrc/czDhSX2Ll3gq1XAnp5hE6x43bmzRbEU/tqX0qe4K/5Ktr/0ickk9sZha98Q+uG8xn6J8fdWw/qdDfE4AxfA7j8Bgn4ueVRfIYFomnNmqPGwsOg7ie9tdT+4PZRz3QjwIKYgB+fFR2yPCwx4ARQ/Bk9O/sw5PAkScBItk+w82Pfcd/THlPtI/5/iPr8SW1zwpQ/kOf47M47yPPqOF/H3/M7zA9f6WBEU2mw5D9bfQg9wEcx0HrdGEVx8nAo0Oqu8BIJ40omJtM2DdLE0lB0Kx0Paovoh+ifkmPM0plxx+CJUKKFFSAI4NojMZkSR9CDr1cGeWLBJ2gTap/gRw5fhQYGf3RBsTAOZjuPLgeUoFiOazzILJaZ5H/A0dhxsyfCRnrYTT2gMppQFMzoLIR2YwnHAs5qEOKRjHgujdCj0Qua1AJvuem2S0IdKIwSh/2CwplUg2LweQrBw48DiPE06xnw8NXu7CsrH/SMRs+BCClwxFO2rbM0Shth1TE2SXRGkvY5OrjbKyu8stf/wq/VGF+8STHFpbIjdVBKWQUY+KEJAqJlYUhwWjF+fPnqNfqdA4OCPo97ty7y/2VFX7+ox+iEVSrdY6dPMGZM2c5ceIUJ0+e4NlLl/jeD77HQWOPxvY295ZvEHS6WLM1dDdBqSTj0ldZ5k82dipt4zDrCIlQFmBBYjBCYUTqnEUYtCXRwgWTxxJlpBUSYpO4ad9YJsFVYarPIHwQDokBJR2ktBE6ddSnI2nQaBKjsRwfP19HCIVjOSilCFWAwpDL53E8j7C7Qz90KaPwS036wR77mwdIYVGvVGm0GuCG5POSXClE6g5ht4tI9jFxm+JYmdZ+h37fJRY1QtUFu0et4GBUB5HEEFm4Xo0oijhoNKhWS9Qqs3SDmH4oWNnrUq7OEhpBt9/FcsBYEjdfox9LtJEYFePYFlGSIIQkQWNyDvu9Dr40uBJCy2J1ex8VQRAYij3N2QvP4LgOlVqJiaVpjCxga5cwaDMxUaVWnaS53+H69VtUioLJ8SLSVTi+jeXYGGxcv4hWPXQMQTfArjmYWKeZQ9l9pxOB40DQSxBIahPzvFSpcPzkSZavv89Pf/T3PP/811g4cR4r59GNDUqCsSXCApMo0JpYazy/gnEKKMvlxJkLFCsVXn/zNcKf/YhXvvEdahMLRLGkHyiEjlCxRtouWliEscTLV1g8XqDVbHF7+T7uyhYXLl7CsaDXT0FXYUlcRxJFSeY0F5lWhvXkSZ3sXhdWNjeLwZbR5dMjZlnWYfaITmnjtM6ubSnTeySjKTQqQZHSTlmWPSx/dCY5nFnMcI4Hg7AkGElsBEK4TC+cwEERdrsYN2GveYdeP8TohDDsIy2wHYmQgrDfpd3aZrJSp28MRqVzdRR06IRQyBfpBzHGGFzXpd3sY4yhWquhjBj2x5CKMZvThJBUKgWEgCTJAAor7eujmY2H/WdGsh8HKMfouvcIFdfw53CRazhS3PDvxKQZHEmWWyhtD8uNcWxBnGik5VKpTSCFYq/dwoiYaq2KCST7B7uUS0VyXo6oG3FiboFIaUwIFj6YPnHSpVrvs9d/wO7OFrXKBMQuQdulF/S4e2OFdkuxvePQakfcW9+l0WvjS6hXZpmczFMqnqbZvs/4hEtP7TPmV6nWJtje2SMOLHphH79g8eEHbzA7WcK1e8T9Fjs7a3ieYqzmMj/3DFFfUat4rK/eppp3yHkuQglefvabfHj1FiaSRL2Q5sEmjYM2G8s7jI9P0G7FLE5MMTPtsbFxFykF7c4eBkVCRK8b4HplxseqNA+a5D1JECS0D7aZnMxRGPOojfnYVLl7Z5NOr8l3/uQsfiXmzt3r7O1vMDtzkfZBm6XjU5w8NcvPfvQT1h7c4czxU1TqBRw/z/TcMXr9gOr4FBs7G/jFEtPeIkb32N3bJ4k8KrkikTJ0W33KlRxJEjE9u8Sbb97Dd07xte89R7e7w8r6LlPTc7z7/jrtVojrZRlntiLWXcYqE1w8f467t3e5eX2FM6fPAYJ2u0mlPMXFiy+wtb3Bm7+9woWL59jZa/CTv38NaUJefPYcUXiA4+xRqmm02EeLAonuML8ww/TsJHfv3KdciOm0FOP1Beamx3HzCffv36XVCdG6wKuvvkYQK2rjed5691e0Wi3yuTyNVpPmQYt8wWN6zOfDq3ex3AmUiVi+vUy1Psa/+Fc/4D/8+9/i+j1+8Ecvs3z7PusrK/S6mlwhT94bp1CbJOi2aAYh63ubNJpNVtd3cXITKOmhtWZna43FuWmOn5jByHX+63/9AwpOyI0Pr5IAuWIOJ99D5hrcW7nM3rZg4fgsL3z9WX77q9/wi1/9CG3GeeaZ73zUBPrUntpH2FfJK/AR9qVzRH6O9fmotn6Ur/8rap86S2QQQHdkETMCinzaCP9PkkXxRY3D55HR8XnbZ+l4e2xmzifsj+H1MfCj/L514fB6+jwyhp7aU/s4OwIaPAxkDECAEYDiSaDIY4GRww9iuN9IeU/8PXrOh8s7UvmR6j+8w8OgyJPKePSQJ+//FBR59Byf/yk+t/MOnf9P+u7TneQrDYwMnGDSSumxjElplIRt8H2ffj9BQJqVYKVRuwOqphHPF4jUsaYzbhGtM0DjEOrEaIXQBj0AQYwZ0epIqacGCxY9yM4wZEDN4eAMtqH14VjKFBwRkGWtgB6daIbVNVlkc6o5IvQheGG0xpACM4O+GIAjg8jogRj7qGC8Zdlp/0mJNBqyftBZtLFlWSPHZxHLUqYOdGPAKBASYdlpJeMkc+KrVA9EWKA0WkdpRDSSXM5DAnEYE/ZDtEoyzMdkc7s5MkenfXg4YEMwTA879HAhbFlpvwyoYUZsAJoYDMLoVC9DD4AqsIsFrFghhGF2bg7f89nc3OH9t97k7d++imVLpianOHXiBNNzC3iFEi4W2hiSqE+tVMBCkc+7TM1MsHj+LJFKCFstNtc2uXX7NrevX+PVX/8G13FZPL7ESy+9xPETJzhz/jzq9GmOLc4RtTdSnEtaaJ0Mo7HTdsphFL7OGm5l9D8IB6GsFJBDo2SWQSIN0rFRkSIJQyxf4Nk+kYoJRUqW5GmDJRQ2GoFCGQeFQBvBQDLCGgHbdAYuYSxst4xAE8cSQ4yXV+RsSRJDa6eHMEWK9ROs7N5g2ulhScPYWImo59DvaPJ+Fc8XJLpFog4wYRPXNdSKFbY7PRr7bRKTI7CKJGaavu5QKQRENCFp4YiAOAiJ1B6OU6FYkEShZvneNo1+wNjcMSYmZxHSIgm7VCoOYaIwtoft57C8HGFf4Yk+UsQIxxAkBpw8SibInI0lSEGLJGFu6QSLs2PsrN7g8ms/5dh0mcbeLm7OZ3t1lftr2yzMHmNhvkou57G0eJL5ySVu3XqPg8ZdbMciivvYrkzH0JJ0+wGtXg/HGSPph9g1kEYjhcqyyVIaM6VtPD8Fq/qJRoscE7OnWFo8zq9+/kN+9MO/54/+RHP20ovEBtqRRrp2Nido8p6FlBZBoEDaOIUquXwOaef4J5Oz/PDv/5Zf/OxH/MWf/zVjYwtYiUEJQaQVvaCD6+exHJfYaLAkhWqFi5VLrK9s8u7b73H2zAkmpyp0u4Yg0hgpcFwLpRSJUQzoBD9+cs+u+dE11Sd43xjMWUPNImOIowjLstIfKTEj6fBGD4BxOVpI9juD2UeyB9OkNQvb9Qj7Ca6VT8H2nEQ6CTEOtVqFhZlp8AS9OKCSK+NZNtL0CNrbmGiSeqGMk8ujtCbseyzfuM3ipecwwkfKlK5ra6tLt9dHUsR2XJQxKGOyR1j2IiYhSTQDyFKIwTMMrIwu8knv0AOR+sPgAnE41x/tVaQ4/A45yMo5fEaNdBmWJQn7IWES4jsuObuMURGOY2PbPsKWuK6kNBbS3F9Dhgnj5SKuK8m5LkpByRdgOeh+zO7aOk65ijSaa9feRffeYroacnx+gWIuYHd3l0T5rD54QBQrZmePcf12A9sN8PI51ne7LJbGGBs/xXbQ53/6f/5/efHFkxSrDnvNO1S6ZeJEUquPs7WxQrMdUR2v49sJOobxiQrrq4pnnzlJbXKS3UaTnZ0uH7y/zNL8LM8/8xx3bn3AxsoDzpx5BqFL7Gz1KJUc8naO0y99jbW1Nd558zZnji/RaZdpN7aYnynw3e98h3Klxmtv3OTic89QLEnuLN/g8uX3yXsOs7PTbG3e4fy5M6g4JgoVuzsHNA96dJrQDjR2EV5/43Ve+uYLTE2f50c//DmOs4DjFpieGef69bucPXceV2p8S/LrX71GqbbAsRPnqE5PsraxhZur4/l51lZbBHGPfjfh4rkXePvN97CEYHZ2koPmGjevrXPmzEWWZs+wtdFgY22P1bU7RHHIwuIY8/MLPHjwAMfXLJ1coNneQ1qKIEhYvnWXD67cIIklH17tk88V6XR63Lx5m9XVDZaWFoj6htX721iWC7FgdvYMwoxx9vws23urnDgzwdrGDps7DxgbW+LV375PLlemkK+ytbmP6xTotCMa+z2cXkSpMEacdNjb7aCNR6nscv3WVfy8w8zcNEbb7O22GZ+ZYnKiQhI0MIR8+OFVKuNw7vwS29t3+KM//qdUq3Vef+0OXq7FzIxPp+mwu7vF3/zN3/Lf/Ot/zuzSKfqdLq6rUZbhpXMXOfjRG2BK3Lp5n/p4jUolh6RBa/8uL7w0S62ueOPVn1Gp1vFzNeZPHGd6zmf1/iaTUzPcuXGXSrVIc3+VC5eW+JPON7l5o83YZPnjJ8On9tQeZ18lx8BT42MXPo/Gh/0B7MuAzox6ScRhlYa0rA//Htn9yHePFpniKZ8QkPgiumIYBfuH7vMv2EYzc/iE4/FIGaSBUINyfq8uFCN1GdSLP/yt8NT+cdhjMjeGAWyPgCLi6M/w+I/6PTpTfgQI8lHgyJHfo1UfBTzEw18+8biRnT7260d2+DKuff5g2RrD/76A83yijZ/+BI84iH6/8r/awIhO6aIQIGXaFK01thTkcjm6nSZak4qwD45JRhzNmmySGBH1HTjKDKS8+AMRc4kWBq1UJm5rUt10TapxYgkwgiTRaKVSZ7WUoNP4eiP0YeBx9gw1JqWKOixEZrRQqf6IMYPI6sMDTeZYTLVDBuuCtIw0C0UNNU6G/WRgkDEyFIcfnH/gCBs4/4RJRYZlunCQIxkihx0ziMjWmASkMQjbYQDpkDkn0+aoLAMl0yiJFYVcHq11JpyskdJB2Jm2iS0Qjo1BDpeqGaFQ1g41jJbGaHSSjqGw7HQ/pQ/vD5ktnEbafPjgkCkXlEod/EYbiCKiKMHL5bER1KtlxmtjXHruOcJun52tTR7cv8+rv/4FSkOpUuPS8y9iO3lK5QLl6UnioI/VVaBiOlspnVY1n6N68RxnX3gOHUbs7+xy4/pN3nvvff6n//F/pNvtcvLkSc6dO0e9VmJmPIfQCmk7SGnQSYK0rYyKSKZ9j0mZ2MictcKAiMCSoABlUvF0k9KaQYJjEqw4wYr2ycuQfCb80k0EsbDJWXk8FBg7pR0aRMJoDUalpxcW2kp1TGxpI2JNEmpyvo1tC8LIo9vqoGlgSYXt+LheCc/JQW+HZnufgp9Qr+TxLI9+2+D5KbXV5s4ak/UClfIEutultRvhy3GS2MIql/DtcYS3iEj67O5dJSkIHKMh2mO8WqJWtInjLr1Eg6wwt7jEgpdnZ3cH1dmgXOhguzmEU2CnFaGpk3eKtFqKorSQIiTSbZCC2PZRwse1fISyibo9ip7HZH0aRyqk0ZT9As9fvMixqQKr92+yc/8mO602E/Ux4uA+nXaP1RWDCiy21lq02psszOcx2qHXb9EPQhQG4VgEKqBcL1C06nieBRI8WyKFQakEoTW5vEMcgrEgiFPNGGFbJMLQjRR/9hf/nHazw09+9l9478N3+LO//q8Yq0zS6RuCIKGYc+h1u1iOhbHc9B5TYFk+hXoRJwr5oz/7a372w/+ZH/7tv+VbX/8+J049Rzt0CBJJIZ+nG/RBhOTyBaIkvTw82+X02UU2Vgpcfud9JibGuXDxFMWcQ6PdxfEckKlz3fUt4owF5uh6QDzmHUcM7+XB7PdRNgB7D+c9k2WDWSSJIkmSI4B2mjU3AAdGAeNU6yNVsx/UM9UB0SbBoIhMjJWzieOEBEWuZGN7YOwYzxJ09xsUx2qUvDJ76/v89O8uo41Nr7FLa+s++WqdrQdtQNDaa9BtdVm+Joi0QUqbWCnavT5Im1K5iOODyWgKhUgpB1OcVGLZ2Ryf0QRCOu/CITXioD8OweWBLtfhu2X6bMiePyN9OQD/UzBk8JzIsleEGKFdzrL7LAGei3RtXAuifgdtLPL5AlGi6ccxwnKJpcQtVVE6YHOvjS8UQliYROFZDt1em6KTx5KCkD42kt2NFu39LdRkn+++con1lRXee+cK9foxpurjlCfK7O5HSH+GSmWW68tXef7FvyKfE+zt9zl34STnzy1x9cP32NyG5kGORmOXc+cnwdpAsc+p08c5aHfI+QW63SauO87SseM0mh3uP1jhxvIyOzt9SvlpypUJmk3F+Nhxlo49z/17e/x3/93/wOzcFN/49glanW3u3d1gf3+fH/zgebRpcunkHNtbgps3V9lvtHjh5VfQps7rv71Pr9+kVskxM3mBKDrAtSPOnz+eAq92ib29fVyvz+xcDa9gWDozydUP17i3LHn/rQaT03Vefvl7VOs1/tN/fJP1lQDLuFy8NMfXXpnFkSHf+v6z3FnZ4xev/T1bWy2mpo5z0OxRrReYnhujVqlgC4df/PRtSBzGKgVcYXP+1DHaB23e+OnPKZXqGJNQKFnMzS3iuqeQ2mb51g2WThbQosf7l3/O+NgMebvE+OQ862sbXLh4Bq0VUagZH5thdWWHXr9Ffcyj1VnlpZdPc/XaTZJIMjU+zSsvfoe93R22tjYp1iTvvfEeU1Mn2d0RHOwnWKJGpTiN41okScTkxDjLt++wtt4hX3Q5ffoE0snT72m2dnbw83mmZyt881vf5OzZ57l9a4Vf/+oNumET6fpEvX3mFo/h+TaFckin06bTDbEJeOWVM0xNjyNEmZ/++E163Sr/5t/8E5aX3+DVt97Gc4qs3N9gbnaaF198iaXjM+w0+szNzdDsSebma8Rxj3b7KmvrH5BEFc6fP0EUeJx49iL3H9zj//P//huOLc3z53/61+Tqi+yu/5ibt67i5iO8vMdLL5/H97fY3Nz4yLnwqT21p/YF2z9GZ+gf3DH/mPMPXrSHmSPZfkOn+keVNzjmUYBEMOCj+Dhn+sc47IZV/0P33cfYZ5WZ8lk7/gYOvd+zbp9d4s3DSJj4DACXp/bUPsaOZGKMghIfBWA8BIo8Fgh5zPHDcz6hXMSj9Xlk/9Gqj254AkDypAySJ/z56PZPOA//Ie0PBop8Qef9Qtv3+HOZh35/EvtKAyODDAiTIRRCphzt0rLwfR+V7KG1Jgzj1Lcbp1ROA02NASgyvH9kqq1hss+HSAZI28IoneowaD2MOtZaYQ1ADZFqhZBlLOisjsKkoupCi2yfwyHUWmMphZEjdcook4Zzi8g43bVByEygXA07AcgiiDlc9z3sIBx1dh3SzZhh9ocZiLkP6iwGYMTAWXZ4bHq8GnL6CwwohdEpKCSFRFjpIjTVXkn72bIkSiWUCrkMeDEkyWB/a+jEG2bhMNAaSDNGzEB3xQyAJTIgx0YcAZY4sgg2pNRbDCOjs++H0R0GmfPQcYxXLoEwRM0Wlu0QxQGWSnAtwdzsBIsLM4CksX/Ag9U13n7zNfYP2hSKVTxbMr+wgJfPIVyf8uxEqhsTxgTdJnQlrusxMVZh8k++z3f/5Puofsj1Gze4du0a7195l4O9Hf6bf/1PWViYQKsEYVloEyHTBqRjMqBnE4fjn7ZHZ2Mls0h3K9ULMQJUqlmQ8zXCblO2OkxaMdrJ0yRHJDw0MUortNFI6eJaEkyC0VEq/K4tEm2hEUjLxhYGzzIISxH0O2idw3UtVGKQSmPLBI0CqeknNnOLL7B9/y3a4QFBsEvRrWNUjuCgzX5jn6n547gyRFiGJOliKQtwEK6PX5xirxHQb29QKRSxdAGhFeubfXTQIufmMHGHKBDYskR5vMxOY4swtvBcm6LnQtxla38dp1DBL03RiUP2drYpFydRYY9+bxe34BInEs8dI9Q+cc9Q8CWxtNFRDFLRbO8SORH3rr3NybkiKmhA3CZvJZRskEmf2WNzKFNn/UGHhflFPNmj2ykjZROMQ6lUJ4huE4Z9bEdiuzZBqwV2hyTpkwRdlHDSuUmDtCzQqSNf2Ck1k7DSzLEEQZJAoyP4/p/9NXfvXmN7Z5W//y//kW9++7tMTJ4gLx36oSbnF0gMaCvNODJIElLNGmH7HFs6y3/73/5v+PHf/v/45S9+Rrvd4+S5lxivFehEBtcSacZJL8DxXDzfQUeG3d0OE1N1piZf4erVm7x3+X3OXTzJ9GSZRluhSOmxgr7Ctu3RqYtP+Bb50GLq8TaYow7nsUxvI8t8MxlQqjMwNNXvGcx1h5l06Zyb0UEJkWmLSwwOGoElPBAgbYNn2ygdEoQRYazY3t1nZ6/FWqPLbrMDwkZik/MLrGyus76zD67NxvYOxkhMDLZ0Ca/dRtg+lm2n1FlCMjE9w4mTZ4mCGGGl1HXStg4DJIzAGvwh0ulPCHCcwwzIwyli0FYwI2+EA+AnBT+Ohp+K4YkOwXwpNBmR5fC4wXNNaYFrpXlBYS9BaIHr+GjLQiuFbafn7/a79MMIlMDzyjiOT6+xg9PXlH2ffreNKy1sGWMsQxRH7DVaFPwKO12Hxl6TDz78AEmfiUmPOO6wt6+4cf8a/+xf/K9ZXXHYayQkxqEfCaamxqiUbOK4ydUPL2NJHxV7bG6D6wr2Gtc4c6rGzHQVx4uZKlUIA0nQj3j78g1WVu5z9vwlpCMIlcEvFpCuQ6MXcOfuGvNTC5R68O//9qeUKwXOv3CRt95/m3zeYX+nTT9sMz6V48y5RdrdfRSG8Zlj3Lx1nRt3f0ihsMja6hael4KhUdDg5ZdnSWSHfH6au8tN5qYnmRg/RrO9Tpz4dPtNDpobOLZPzhtnd7tPLh8xNTdJrTpOzq2xMFtBxzZBr8t+Y5+8F7K4NMXcyXOMzW7yzlu3yOfrLB3PY6wORnS5cOk4V965T94tUqzU+d63XiBXbHLQvM1LF77Bt198hf/8X/4jz710nuMnJukHkp3tiLffvsyzz58klwvpRwnlwhi3rq0wVp9l7cEuoQq5OH4GbWDx+HE21nZxPMPXv/0sW9urzM1N4fsF/uj7f8pbb35AvTZDv6+xnTKRadFsH3Ds+AnabfDcGrdvbWK0Sy5X4MHqHaYmx9g/2MYvCIKgR6wslu/c4+btZaTlMj+/ANJQxKPV2ucnP/4vvP/eDZaOn+Lu+++TL7b5Z3/5PVRvl0q5TC6vQXtcfvtNfuz/AmUE+80mtlvG84t881vPM784j5BttrZXQVjEBrqB5pe/eZv//v/2JksnZolp0uu1iZN9vva1c9y8doswWiFRFm+++i6V2hTvvXuHYtljbuYMd27f4//y/v+dF597hQtnL/H2269y736fZ1+4RLu9jSDk6odvfYI586k9tc/SHnYAPrUj9ofqnsGy6Is+9+fg2De/cyOe1OlPcop9LDLyULFHHd5iFHAZLfUItfbvaL9PPw4zR4b/fTb2cDs+VWbGQ07Xz8UGA/Vpb77P66bNrpEvO/j11P5B2FFf0HDDEZDg4UDEIwc/CRD5SGDk4X0/+j5/4vv78LX0CWU8XIcnnmB4oo/e6dNORw/PsX8oUON3tS8anPgydsuh6+MT2VcaGEnpUWSaFKAVwgLHdkBaeI6b0T2BUilQkVIMkXoahw6fYS4JWUgsUohU0Npkzh9hpRfXwNEkZUYtkm3WOj0GnUbsDihMVAKZdoeU8sg5IHtuaoNKklRYVwwc/yIT0ialAJMSYbLvB8dqG0ycTjYmjQzWGae8tA6de4Osl1FnoVKH/TfIBnl4nyPgyHAyGEQYjz7sDdooBAatNEaZVM9AGbROMh2QLILZCJQ25PN5fNdBGUgShTZgWxbCyjRgtAGhMqooOTwPOqPnMgN6LzEETsgE4hkAOZngPGSbU24qpDUyDogUTLElSRDgOA4mjDAYHDfNgBEipTNScYJKYkTWb9Vqker0Szz3ta+zs7HNL3/9Khuba9y7twxGUy4VmZudo1qrYler+LkcOddBaEWSRNi9GIMhiTUXnjnH+WfP09ja5m//5t+n9ReCbqdLLu9hjCBR6bU7yOBJNWFMFrGd9pvI2qQE2fVroYyFpSQIlV5TDjhuBP17mM0HjMUbVN0JAqdKR/r0pEcg8yijQSlU2II4wPOLWHaZCIlIUtDJJcbWHaJoh25rh/rYAoXCBJ4w+E6VJOwTGEliSfYOIpJAkvfOUBuzaHTvYiwLzy9QKVSolRcIky5Bf49ENpHCYGyD7xfox4KonZDPucSdXRyT4Pl59rd2qZROkfg5sHy6vR6FXBGvUKYfNOl1mtTLUxRKJdr9mH4E5OtEjk+rG+CX6khAqS6dzh5R0Mb1x7GtMirKY0sLyzLYRqNJQIXs7W3TPNjgYPceqrtGa3sPX3dZnJtCaoug1WPlzgpbrT3cfAkdF2i2mhxbWqTT8rl1a5egLyjmCti2g7QExigEml6vjbZ8xl1DRIw2FiiwhIXERidgk4l0S4HIMgW0Mvi5FLCyvSrlyeNMzS8Qdne58uavOHFim6Xjl3BknkT76MFcKBIszyKOgUTjWZJmM6Ho1PmLv/pf8LOf/j2XP3ybVrTHydMXKFfnsSwHZWws26UXJqhYkfMElWoRlSiUMVx85hz37t/n7bffZ37xGNMzk7hWDq0NypIMqanM4JY9fGKNPsMf1rn4JPYwN7XWhiTTjLEz8HWof2QM2mRpL4M5JpsazGAelAJJCoxIBEJbSCOxNUSJwJaCJE7od/uUSzbNgwArX8OpTFEbn2ahWEVIH52kmkZndIJwJcax6QYBxUKFnF3g+tVbdIKI85cukC+UkdIi0SalVLRsekGYAjPawmiRYsCD/jJglMa2JdqYDPCRo50y0r9i+FsP5/vDXaUcBUg4BI+Hc+agjwcgczrvGCERRmBnKvZxnNI6xoki0QmCGJkk5HwLqTVSa3zbQxkbrcDx8tTH83QbW7T6MVMTE8RBmzgOUBHY0mZ2ss52vE+tciy9d5wSE5MFFk/OcuXyBlHDQpgCnQ7s7jU46Gimp6cpFhVxfMC771xF6IAHD+6C8HnxhT+i0ozotdsE/Qij6wgEV658SGl8mkJxmiCR7DcUO/sSfauBEhGWXyVOOgihaXQ6vPbWdeLeHb7zne8ysXCMmYUi1x98SGQCVu5scnzhLBcWn2N99zLRjQDHKhCHGq0EU4tneP21d6lXSiwsHSPo7ZNzC8RBGSnTTLwkgivv3UTqKuMTE9RrS+zv7dJuS4qFKp5bIpffxZgI6NPY36VYrDI9OcPa/RCBJA4THCuHn7NYWX3Azt4qt+62mZ06QaFYJggbSM/Q6jR4/73XCPsFFhcWyTkl3nrn17Q7d5ibK7By8xaLc7P883/2R1RnSuxsP2B7u00Sl6jUC0RJTK2+yPJb25TzxxmrVtnb3aRQNxw7XsMrCCQllpfXuH7tJpeeOU+h7BBvdtk/aNNpNVm+9Q6FXBWdNNnb2aBQKiPdBounauSLVe7ducW92/dQqgRosBO0COh0DyiVc3g5uPjsJTq9hP29BidPnWRtdYf1tS2mpyZZOLbAW+++yuzsHEvH6qhoj0vnFwmifT784E2OL9ToBYZ79zeZqB4naOd4+7d3Of/MWcrFGpPTM1y7usqN69d4680PMKrPiy9fojZRYX1zj0KxyPraFi+8/ALlmqFQsYhil5s37yBEm5wv+Of/8o9Zvddg+douWxtNJDWajR5hrPgX//RfsXx3k1/86FdsrR/g+R6JavPhh29SH5tnauIM3/r6S/xf/19vf8JZ8ak9tc/ABHwqfYZ/NPaH7JuvviP2C6n6Rw3R6CLziB7JcOPIYukzyAgYLEY/i9SFgfPw8+rEIQDzJbu+fs92p1PaYy6K37m4p/PiU/sC7QjoODpHPcYDPAgIPpIhMvL3x4EiDwMq4vDjk+v3mP0/yp6EVz8JFHmis/9jTvb7OO2/irf4Fw3efBlBkU9hX2lg5DACdiDSK5AiBUpc100BEchE2DNnfybCe8gfkv03yLzQGmFnwt/CSh3sg+wDyAAQUrBi4JQfrZOUSJk53QZFZ8Lt6brVpBkj8jAtV2uDiONMCHjgfNKHmcAi05AY1H3QDpnWz2QghpSp3oUwJtUsyYCRoSjFSHsH2RlyyL2S0lql9c6iqjOwYbifUGk/DzJBsv7SRiOEhRig0gPQyQwccBqVKLBS3Md2HXJ+jihRxEqlNDu2jRAKpBkebzIRZUEKj2idpALq1ghAI7Ox1Johv0yW6cKAKswYFBpb2Nl73WhGTNpm23VT8EwZ4jgmSVL0SKkE47g4dur4i6M4dUqbBBW0kcKjkPcoFfN889vfxHU9NtfX2N7cYGNjhQcPlpGWTc73Kdfr5Gs1iqUy9WIF2/fSaPa4i8qc254rSeIQY1kkSUo3ZkmJ0QqEyOK0DQiDlFYKWw3aqtO1vGUgHmQJkdKvGWMIVUJiWdhIol6X3Qf3sNoJlruNVaxRK5cpOT7aK5MYiyhK6PZ7BEpjxCRG5MGkIuTCGGwRkATbhN1t8rYh78fs7d7kYKdJwfMZHxvD4NJPDIVanaJrkYuKhFFIvnqCXnMbRwpsJ6UL6wUx3W6fcs3F8aoUfZdWI8DJlznoxri+Iuqs0ew3sXWZamWKnGe4dXsDqS3KxXGEsvGdCiRd6pUa1XKJ67fvU6gcR3jTSMcnlhbYECQOWitajS2EjpA29HWM47uYOAPQpCFMIrBASge3WOLU7BhJMMPl1/4OFfRItKETe2xttjDWNBMzi/TiNr2DiJnpCvlSDtfzCKMAYyJyXgGMwrMled9DxQkWLnMzS+y2DX7eI/FdNC5xLz50QRtwPQMKYq3Ricxo7yCKNDnfYq+VUJuYprW/hevW+MbXv8fK6n3eu/wGC6dOUpk4SaQkcawQEpI41TPKuQIdaXzPQWmDtmp89y/+ig+uvMrtG2/TamzxzKVvMD5xHOlUCJTG8iRxogn6IYkth9kAQRwzf2yRyelpHtxf4/rVZRYXJqnV6sRakBiRXpnZgkwzoMk7jLo7Sv80AGuPzv+jIMjRDIgRoAWBbTvDd0+tdaYBle5nZ+Lrh8CwGcWuMSpBSgc7owWUQhEmEVI7+EISdBVaKYqOQ8V3sAEtIZIar1Jhcu54Oo6hot/tcHCwS9HziNF0whBpx9y/dxdh53j+5RfxCy6dboJWmXZWpinkOLlUYwaGWL5Muyplz5Np/6Si64PHxAA4PtJrw08pCDLan6P9fbQfzegHk1JmSUBlWlNpoIBBx2Bb4No2OoowJsH3HIzWqKgLIThCYGPR6HTwvEIK+ksHy7bwS1UOdtbRRJRyEqViBBKZaCxtMTs1zkTtW9SqCVu7r9JXbZaOlekGHn5uloVygeVbm3Q7NuXCGIWSz/SUYGf7Cq39LYJeD8d2CeKYeytXwS6k49W3WL6zx14xJF+oMjYxQxw75Isenl/GL5QJYsP27gadVofJqWnu39vCFgnf+f4PmK6fwHF9imN57j64ytzcOGMlG6N22dptcez4EiePX+Kg2eDDDx8QBAFT05OcmVygPjGJ60j8gqHT63Ln3jr1Uo1qbYZTZ5b41U/fxmibsfEJbi/fYWFxjn7YI44NW+0W83N12u19qtU8SRKyvRlgWyUcN2R+0WFjY5tyyWVrY5e7dzb51je/yc7mJr4QqCDgwfYqtXGXM6cmOX7qPK1GxG9/8SE63qVQkiwsTXPQiKmWPUwcsLF+h/W9D5men2ViaoFcZYKrV1foxoaIEmsbHt3+LFKWCHSPQMHLz1yk2dvg2q3b5L0p7tzco9+V3L3X5O3LV7Ftw/j4NLYdU6vmcByb9a01LOmxtbuO4weEN7ucv3SRWmWJ28kqrXafYtknirvkCzaVapHpqQkcD8Ymx1l57xor6yuoGJSSnD93iZX7d1lbeUDeg1bjPr1+gDRphtbU9Dg516PX72OMZGr8BKt3uyRBicmZ45w5+TXWd27x4M42B3t9pCgwOT7Nwf4uN2+s0H3/XcbH6tRqee4/6DA2Po2QAdubTYLAECc5YIJy2Wdrd59Wf4/Tz0xx+8YmiW7TbISEUYsr773Hd/70nxEcRNSqUxRrp9lvvk+hLPBcn6C7z/x8nqf21L5w+7wdsF91+yyc3L/7SQ9BkT/I+X9/O7L++1ztMQDS8Joe3S0DRQbvsozsc0TIPfvmMQ6oTyQg/1mCI4PyPgvQ5kh5mX3Zrq/HOf1+17oNh3h0rfsZtu/L1F9P7R+YiSO/Hvlu9B1u9F4ZfT9+BAQZ+Tz8NXrso2U8qVq/t1P+98ke+SRlfRr7smeJ/KHq92XvF+B3uW6+0sCIBhBpRG/KvZ6CIBhNPp9HKYNWhjhOUEqDLbPFTAZUjKKtQoAUqZ7DCCBgBt9lv4cC5lkdhpz1DCIPGFKOjI7DoUD6oPIGI1J9FKFBJwpryPmu0SKl6xImFVkfLnjSHVJHoZ1GD6e6HhmfvFZpBLo5jAgePphF2k8Wh5HB6WaBbdtY8pBzf9AQkx0/qPsR+rJsEIxIFxMpKCXSIE4pMgH7FLSQwiAkmVC4wfNdegc9kkSlTtKBHohkCEYNsnHS84HIskC00CmQIjOHKSbVFpEi9RIrRRzHYAyO42SVTLnzzYiEDCaj6BIghCSJYyzbJU4SwqBPsVTCL+TT60GlWUaObWHbFqSXS1q251ItF4njiGKlxOzMFJPjNeIkTEWnhaB10KDTarN5d5cojnFsFzefpz45xcTYOMVSGUcKHDcbT2mRy+UQwhw6HxHILEMqvYSyNhl9+MDIdBGkMdl1AUakYJewbIT0iBOH8akT1CdaxInH2r11kvg2lapHseQzPj6B7fhIL0+Sy9MmR+xDxwTYwiNWBqNi+sEW/e4mpVyenF9gZ2ObWEdMjOfodToEkY1yqth+EeVAT6Vt0ZYFooyT10TBLk4uxtKaRCRs7jWpOjMkEtoJ9IzGdEK0MRzs7VAq2LiuRalYwzI+a/ceUMwtMLewSD/pYOccdttdgragUq2jnAJuaZxYFei3c4jCBPh5pOPQ7uzhECOsGL+YR0tF4vgk0qBtg0Jg7AE1m0UcglMYI7EEAQHFiePk5RS6u0++PM6xap5CZYnNvSaVMYedvfto00daim5/l1Z7k1xO4HoCnYTEQR9XWiShIgo0xthYFnT6PayiRRTE6bhm2WZSilRUG41tpQx1g+vZskHpFFxTRlIoj9PY2aHTVUzNnWFza5W3L7/D5Mw2J0+cpZqvkcQWfSGIs3vItgRRBLYrCBKBJcs8+8p3WZib4Oo7r3P7w8v05jqMz5ygVJ8gUgbXkcS2IDEQRQlaGFzXQyUCx81z4sQpOq1dttd32dncZX5hBq9QIYo1Qsi0aTrNShs46gfaSUKMvFAIMzKNCR4Hijz8cjrcZwQHP7xv0y+ESIHhUZBgcJxONJYQqDggivv0e01qtTwFV7C1+YCx2iSVXB7XtkFFEHYwYYt63SdWXRrNHXpaEMYWQS8iiUK6nX06t9skaGJlQDkszZ3g3MUL9JSgGZCKjmuNyqgXB6CsFJmuVYYHi8HjjFTwfGCWPZjX4eGIxyesj4+CQSYFVI+80A3ApBSmSH9nc06iYrRJcBx3cKmmdJJJTBJHaEdgW2l5ttLD8ZuqlumHCa1OE9sq0Y0DbKGpTEwiTZ+dg218W5DPuST9Hkn0/2fvv2ItO7L0XPSLmH55t71Lb+iLZBWL5VqtrrbqPlK3buM2Tp8XSZAAAXoQ9CZALUCAAAGCHgTpRbi4D0eNe3TOga6kltS2uqptOZJFskgmk+kzt/fLm+ki4jzMtXbuTCZtkUWyOgeQudeaK2bMmG7MmOMf4/8j8jmXKLTp9ySHzQLbex0sx6dcfZJkVCKXdwnTiMKUD9hE/RHrvW1u33mdgldAheDnAqounH3kBGtrTRYWTnLnWoK0IrAV0rFASyws+uEAbRR+HhqlOnvNNVSi2d/p0Wsp/vpPfZ5C4FMq+JTLdbrDJieXn2Rmuk6nvcPsdB50SrfbJQwTpqZOc8sJ2d2+TRTvYYTN3sEejXqZ/kBQruRIQ4XRMe1OB62qFEsVVk6cQkiLKEq4eu0ayydnePSxs3z32y9jzCwLC7NE0YiTK6fp9jpsrW8wjLqcO3eGxRMzbG8cYlKLeOTQ7whWFs7TPriGkX2++NwZDprrrN66RKl0nnp1nnwu5WDvTlYh4xWoTdsMuh08R/DUcxdodve4dn2d1sDFdhNa/ZgosXjt0g5p0mN7e5OFxTynTk+hey53tg7Y3t6g3RzxlS89w/zSLGt39rl5q49SPqWyz5VrbfJBiYPWiMZUmdPnzqPUiOGoR6/fxHWLrN/ps7cTUyw2cP2UUtmhVitx6swsr7/6Bp1OE8uCrZ0WuwdtUqVxbJtwENE+3EOnMcsLizSmF7l8+QcoLXjy0c+zt99FawushL3dTXzXYX3UwVI1nn3mp9jd7vL6q7do9bZYPLHM4vwMnQ6EoWZ6aoHrN97A8lJGgx72VJFHHz2BZQlaTcPuTki+GGBbdeKoTrcrGQw7BMWAE+eq1BsevaaFIwVG1+l2Wrz1g+/QmCphNLSaHRrTc5TrAj9vc+mHV5iun+ChPbSH9mm0Y+9qn8r+Pl32vgCEH9nuO4YPCljfM1U6DnwcnzQdB0XuBUfetsX75qnvPLSPGBz5uK6Xj3ycnyK7/xR/2D4eVtQ9tB+HTQBaxL0vbw/AMO6JcR4HSuSx7w8ERcS9PvGo3bssE+/U5h3sA8fT32EF8S4/fyaC9h+BfVK7+RN4fD/TwIiUEstxyLihzFj7QyKBXC6HEFlGa5KkKD12HmqSbjuJkIm7zzGjOKJg0iqrIJhk6MsxD78yGK3QQiCluEuRNXY6UkqMlYEilhBjHEaj9ThYZVmAQR+rclHGcF/y7t1rPFPWzrIYzN0nduZ/RKbNMa5DM+OxGzMJmh/PhGYMHo2rR8a+KxMdZuwoJdY9aLLIqlmEOPp8/LfxBtBGZQDNGBgRlgXCHh83C3sMcCit0Sbj5bcsC2MgTVPSJAHHGbNmZcCWGFf/CEugkzGFlshorMy4ykUrBWikZd+l1BICnSYkUYRlWVn68jgzPAOxxD3zlowxSiFtK9MqcV1Uv4/lOLj5PGkYgjZIx4YkIdUKy1hj4AESFeOVaozCEbZjYdCZzo2wEVJjuwG241ArFxBCECYpgzgmbHdoNZvsrd3h5uVLGASFcplhv0cc1TBhlF1PQqIlWLaLimLiOMmotMYglrQtLNcljSPCZESaKISReI6PYztZkFNqhFFII5GpxMSaYmmO2lKMssqUTz5ONNij31xjf3eV1sEBec+hWCjgBQF+oUix1KVgNzD5RbYHKd3UECYhtltCC58otQhyRaYrBUa9IblCHtcvMQC0pbB8TZoYDvtdHNtDDRS+1HjSMEwP8WREkHfxcxArh5zfIIxihipFhR2WZqtEYZHuQGG5HqlIcNyAUCVcOPcYkQqJUodwIBgObEbDArFTpGUMbqVOzsnhxh5DXFLLI04FvlfDkRDJPLgCHEilTYrLkdaQAJBjgMlGaYHSknypjnTqjEaapbnzFII8QX4K4U0h8iGNhodtKW7deZ047nPY2mNz/Rbzs2UcadNtNrGlDQiicIQjLaIwoVRsYAkb23EYHHQo54tZsFkcQ/SEyvBDk1UDATi2JAxjbFtiWRZR6lCZnkPpIeEopjjrcLFR4c3XXmbnznW+9OzXmJ45QRrHIB3AIhUC6Rv6UYLnWdk9q3waM4/xlb+2wJVLr7O6dpNe/5D5xRWm51dIjYW0XUglwnMx0jAcgutaYMCVUK83KOWKNA/3uXnzFtXGNItLcygFcRxjOU4GTCqFVjqrnBMi8xVjP8e4mgPuAiR3swwn1SRvB0uMuSsy/kCbuLGjuVy2DYHA9yxUYnBcSaxjDg9u4vtVBsMW7VYbk+4ilEMaJ3QOD4nDLkJ18GSISAZcevUFhspDOCVUAp7tMBp1GY56aCloTM1w+uQFFmbniKMYp5BDCwujDZaQpGkmph6rBNu2kULgaDBaYdAZWCLHekLvOCs6BnRzr2+/Z6277hyEOPbeq8dgkjh6ZkgkOs0wWNeRCG0ThmFG5eY62bPMCETORyUCrWO0AMd20XGIa1toowlHPYQFUkRoY5MvBoSjASmSfK6MEycMBz2CHCjdwxKCNLWxhEfzIMSzz9BqSW7f9JmqzjA9M8Pa+ktYTo/q3DRh38J2SoQjScmdI+8VKExrmr1tPE8ShSG27XLrxm20TjBWSHXGRiUhS3NTbG21GXQPOPfISa5cv4w1GlLIpeztdJmZP8FP/fKvUKnk2d65Rr3usXrnRYadkIWFM/iOQ+xIGlNT7G5uMur1qC7WKOZcLp5bwneyitBzJ09hYcjnHU6fOksap8TD2wyHh+wfHnLthsXJM2d44skv8tL3X8N18wgZ0Kg3yBUsTl0oopIm0lRo7o54Y7CJ6yuEnVCpBoyiJhcfeZK9nRatVky1usD1a3fQiUO1LEjo4vsBZ09P0R3YXH7jNWam93n00RPc8rYoliS9/i7VSoUw6tI67LFyok6pXODLX3meWze79AYxiwsnsKwaly6tsbN9SLVWYXouIF92cVt5DvZBpXOUSmBEjt5gD9cvcXC7TZoKllfOUasVaLcPsD2L/mhAPnHJ5S3OrMwzHJX5znd+iNQJBwcpO7tNHn/qIksrDVxXcvPmLYLAQ6Ugpc/O1oCDdkguZ/Pcl56lXCryyosvUKlAIQ83r71BueixsnKW1Vu3OHPmMTY29uj3Q8rFadIkYTRsUa84dAdNmp0mhcoCWzv7uEGZ6ZkVSgXN44+d4nvf+TZpEnP+wjlyOUE06nDyxDLf//73SeMC041TtHv7BEHA5curNA8P+cpXn2DxbI4bd97A1oL97T6PXPgivusThgN297YoFBRz8xUuX94n3oJ6/TTJYMTM1NyErfWhPbRPxh7G/97ZPo5j8xN6vH8soMhRUuHk3c/ct3wymOPrcHxSeKzBgxyvecevR8mV77Wfx0GH99P+vezjAi/uH+d7tf0M2tF734c5fPckIx2/zvjJA5Me2ido94Ii93im+18H778NjwCSYwDIUTtx398HrH9vZ5NA4js2PqpKefAPb//8Qe2d+n8//b7XZj/Nt6x4xy8f83Y/m379g9hnGhjJbBywGVM/KW2QUlPIF8bBcE2SJqhUIYSDMikSnYGt+nigLQNNjNYYlVVcIGWWtTwBS8YC48ZMdEDkEWjAGDwRVhY012SZ+hjGYEy2TIyrIjJfIu7OMSYI7hHN15j66/hkzmT88TDO6hVjgELIo9+0nlB13b14lVJHlRfH9UOkzICSbPzjjONjbSDLpD6i5UK/LWtbCIHRjPVAJmMUR6CFRQYSCSlQaYxSYHs+rmdnHPRJQqpSjgQTxmOYANiQUZMJY7JQtbSQtn2XPsqyEI5DpgJgMGmaHSMzzqIW2f5jDLbtolJFEsfEcYxt2/hBgB3kIIqxPI+w3yceDsnlcvRbrYwCJk1xHIfhYEAcjvBcH9cPcL0A188T97ukKsW2x5otGKTvYUkfdIJJkkwfBbCMohK44E0x3aihbZc4DBn2B1x+800O9nZYmp1FhTHdbpc4HmHbFo2ZKZxSCR0l6DjJQB/XIRoOaB/sobTCy/m4notnedjYpEmC0im2a2FLCWoMJqUJvpfjxPkTXNlocuXqDZrbt0j6u8iwgw9UPZ9ckENFQ3qtPdzggEhWkLU+fmUFU6wQDyS5nI9KFJ1ui3xOsrm5zczUEgYbRQ6lY4Sx0EmMEC5OIY8jLDytM0odFTNMBwzjNkYpPM/FsXIkqUe7HyKkQ6HkE4722NneY2rxPINRj72DW9QqdSId0hx0AE2ze4jtBLh+leJUlX4ck7ds3Bx0+i1wfIwQRGkmOh5HhsBzwC4RZWcNJUGPBa2VAguBbUuSJEJogS1scq5EJYLZqWn0UDDs7+PbNogYx0uo1hzygWS6XmZ3xyLnWYicw4Xzp+k2d0nCmEJQYnZ6gXiUMBp0COMBSaqYLhUIjaHb6uDYFpY1AS/NWOJoUv2U3a9i7LviKKVYdBBGEI4SHNchNpJEFvCrBosiARVmKnXWrl/hxe9/h+WlfZ545jG047HXTlHCIl8ER0qkibGlRZrYaGFhe7M89vkS22uXufr6C4SjNq3WHmcvPIEtJEbahEoDDkEgSVOIY4WxDK5j4fgeUzMNyrUyV2+scnBwwONPXKRa9djbG2FZEj/noy2JSrPrVEoJckKFqI8qSO5Whkx8oT6ijpr8fvfzvb7w6Jlx9NE8cHH2ciOQ0uDYktU767z88ve4eh1arR3CMGbUHVEuTJHz83RaTerlPAvTRSqFIkIZAs+nXJolV5qlVp3GkQ7Fgk+SRLz8w1eYXVhiZfkMOpYMhxHTc0UsYdjbGRAEPsLKAG7LyaTfERLbzjSzlErHzwj7CBx78OTo7hve2+Yz9yVQHj+2+r6XuKNnzbhHS2aPT60ysNpxHMIwJIljXMdhUmUoLUkcp/T7A3JSEgibXquHZUOh4KN0SpoMkXiE4YA4SZibmSEOQ+ozKxzubJLoIdV6CSnbGD3CoDh75hyDfkqSQLnsUihVuLNxjVbnOufPl0nS6why5IKTHGy3KHgNXLfCzPwU+U6O9d2rtA579DuGTnPA/HwJ14tITYdqI08ukMSjLpvrq0zPlfB8Sb/fJBcISgWPYafL7vo2ldwJcg6Ui3DubJFB54AkvonvFJibcRFiRBS3qVXL5AKb119/gVq9Tqlo0Wz26LfbzDem2W/u8+2/fJFOu8PUdMD0lMfq+jrNdpPnn6tw9eoqf/6X3+cLzz7P+XNn2Nq9ye7OAc998Une+OEtNm918Jw6wlg8cuEkw2Sbb/357/LFL32RO7cOuH17H5O6NKamyXtFAi9Hv7fDxs4W3a7hYN+iWClRLU8xOzPLaBjyyiuv8Nhjj1AsuRwcNJmZnkE0pggHKcNhRDzsUynm2drYoH0Y86Xnn+JgZ4TnSp565hxvvPXnXL++Qa0yTxzZWCgODjfZ3+sQxiG317bIl8rUatOUKlNs764zN1/Dsg1Xrr7FMBpQrUnubBzy3Be/QGN6iq1VzZe+8mV+7w/+B93+Ds1WVn2ZpoZet8ugFyFMGSFLCJ3D6JjBsMfh/k1qdQdLuPQHOwSBJI6GXH7zMk88/gWCXMDC4gyHTZ84TXjumad48YUXuHP7NufPPUa+K1jfuo0X+MzNL7G7e8hoOOD1S98nnws4fWqeaDhi2BvQ7e+QRD1UAoVchVTBwX6bxZWAxswUcezw8sur3F5r88yz88zOVIkGG2zu3GRpfoXdvS2EBYkasdda58JjF2m1R7SaNuur2/QHG9QapQfc6w/tof2Y7NMcMPgwdjxg/qm0+4Kt79Tk07wLn6i90/ET9358G8XWfW0nmdr3VI0cazJhirivm/d1Wo4H0D+Kc3n/hO+jusZ/rIGxY8f3YwYWjleYfzg7FmB+4Fgf3qAP7SO0o+qt8dfj+MY72duqQI6DIw8AOd4PKHI/wPKgdveP4b3s/fqY+0Gcd9vuh9nGO97Ln6S913n5ODf92QFFfpSz9pkGRpIkIU0SBBqJRqPQWpDEMX7gY9v2OOtZoZME8McVFAK0QSg1pr+6e7KNMWiVZNRNlpVREKkUawI+qDEwAiAsNBppO+NqDIGxADVhqTSAHgfmxoLqJptMSSnGWhlZBFbcV+YmhMjAGXH83jymkcLdipAJv8oRN6YYtyMDYqxjmhz3cvWbcTXLuO8JGCKy6phsP0VWiUNW3XGXggyyqCVYQo6DZdZE/3wcrMyOvbQkQoqjYyIsi0K+QKp2SFWMMpl+hjlWEXO0j0YeVcegwaQaTYQMcliuc/c8qjQTubdtSNJM0D7wENLCmlDDYLAkWJ6L59qkaUqv3abX6zMzM4OTy2EhKFWqWJaV0ZgdcwRSSHSQw7UdbNdFuAFRmNDudBmNRoSDAYHngoA0HGVjtjIaHGHZ4yC7CwgGgwxM8XOCwLEoLy4QY9ja2mI0HEIuT6OQY9Dco9vtsrOxyTAKyfk5ZmfnEK7LoN1Ga8XU1DTCthiNRihtUKkhNXF2rj2XRECqBUZpBBKhR0zPVKivVLnwWJmdp3NcfdPhle/vcvn126zutNCJxaVbMwR+QK02RZh0sIOUwsIcU36OdmRTmF7EslNcY+gPexy0N5mbqjMYdCmVVjjsKLDymJFAxzbGsghyAqNT0jhECgtMmUKhCHGNK6+9SCGoUC4LBkmXXCG7BDZuXYf+DmdOP4Wfm6FcnqYf2OzsbNCYaeAEgoODQ3KeTbVex8nPElHEwSZJB1xbXaXamMK2KyhcEJJRlBCUM82ZbifC8W28cZWDSTOqIgk4GNSwh4gGhL0uxXoVGUM17+IOQqSl8MsF+oM9br71Ou1RgpYej198BHRKKZDsbtxhf7sNqcJzBD3PYnF+gTu3XyJNFdMzMyQqxAhNv3dAr6dgpkahMIUlxbgCDIwcX0smu/fkkQgR2K7FcBhhUoElHdACIQ22nd1ScSQo+Xm08Dh/oUouf41XX32Bdnebp5/9MovzDXbaMBwlBK6ESOPYDsoShBoSaYiRzJ48jyMdLr32AjT3efUH3+f8o59jZv4kvZGiH2baJVJKZJDp1LS7ITnfwRgHx3N56snHuXN7lb/4s29z8eJFzl+YZ9DPtj2hirLGdHVaZfUQUkq0Uff4/+Pg7L3/7nGlHGcHvOflhbv3993b/C79gTYGxxUkScrSykl+NvfLfO+FP0GKCstL08zNLlPJN6hXGkSjIfNzdf77f/ltrCTm5NllTi3MUJ0/Tak+g0p9PFuiYs03vvlNStOnmVo8Q2IFmZ9CsL7RpRf1mZ+dPxpTHMeEowjHcbBtG4TMwFdjZc+qMc3iRLOFB9Jl3fPmPnavegwmiyN3e7zqRhwxc907ERIIlM6AEWkMyoBlgePZRDGMopAkTYnjmCQKyedzFApFSqUyQil0nFDOl+i090kAx7UpFgokSUK5UkWpPpubOwz7farlCpZ0idIR06UqlojYWltl9fo+4rQmn2ugkwMs2ybSTZrdS/SGt8FaolLxuX7pDUK7z36zx4mVpzlspYxWm1xbvYaxuliOS6U4T+XcCV588c/5mV94DCWvs79/yPbqH3H7ZpPRyOF7332doBBw69ZNTpw8wbPPfI7OAeyt3cFzYqJ4n83N1zlzvsa5Rw2bOz/k3CNP0O1IXn91la3tXdq9AmubKQetXW7cTplqzNDpd9l5eZWL5x+n0xmwv7fL6TNLzCx4uG7EKG5gmYBWO2J795DPP/csruNw48Ydep2YzfUBSycWEdLnsSdXuPz6Gu1uj7/8zgZKjIjCAns7FlrlQNYpVnwaMzMYM2Ttxk0sO+WpZ7/IrZur3Lm9S6UakS+6uHaJl15/gacf/woYw50bd6hVK/QPD3jq0fP0mi3i2OGVt17lzNmzXDi5xN5uwh/97n9BY5GYLmt3uty5fo1+L+QrXz1BISgQR13qtTnW17aZWZjGDSLqDcHMjMettTd4660rnO2e5tTJFeqNOSwJSZTS7kSsr+4zM73AN//wDzBS89e+/hSaiLeuXGFu+gS+76PSAivLF1m93ufK9Q3OnD/J/HLAK6+8xNx0jjju4Ls2M9NVpmdrlIqnuHb9Dt998QecPXuRREVsbeyiU5do+EPSxCAtqNQDguIJfv/3v8njT30O6ThIB3b2b1Gq2CwvVRn2Ijy7TL87YKo+RbFYZDhK2d3eJlaSWr1GY6rCKOpz8tQcu9uHDAcD5mYf5fzpeVSc48obN7h+8ybra7fxcxXOnHmENy6vMT8HBpfLr73K+bOncP2Qbq/HQ3toH9o+rozyH6d9HJnYH0VXn9hxHU8GHxS8+LiqBz6uvj8pe1/3xRgUmRzveyoEJufg2CLuzlXf3xi4F3D5qI7vpN/PTHD+xxgAPB57+LhsMhf/SbpfHtona8dBVMM9vn9ylR3Fz+6v6rj/3nogKPIuN+A97R/0u3j72sdfzO/v653Gdf+6DxrHA5ebd/7xgwT4P01zpU8SmPgsgiLibR/el32mgRGkPCpT1eOKEWEkURph23ls2yZNFWlqEYYRRhezIKM4qo8YO4yMbol0XD1hNEZnegipUQjAs91JCOlo81orBBKpDUaaIwc0KZ+dgB3C3CU0ySixJtkJIqOvOtbrUe8mayv0RFxdjum/xoLwalydYY4DHhJpWWONlLuVJRn1ksyEh7W+10ci7pnf3s0Y1iitxiCOvBuEG/eZtTXIMadD5iPtcQXJ3WNxHHCxpCRNY1Axfi5AK0WSpKRKZdU1WgEy0y+RIvtrDNJwBEopoxkMh3hJgiVtLMdFej441hFtmRUEBLaNdB1MEqO0xnac7HpJ0ywbfZzlnM9LHMel0+lQk5IwDPFzuawSxXVJBwMsOabhslySeEB72MPxPIIcDCNFuVKlWq3iuS77OztgDOVKGbdQwNiZKL2OQpqHBwhjKJVKBH5Av9/Dq9dJO10G7TZRt4vvBRTzJfo7O3R7bcrlErZtk6SKlTNniIcha2trdDpd8vkCjUadcDhEm4xGTgiLRCukyYKVtrTH2eWGYTTCkhbaROze2ONPvv0dzj36GI8+9gQrf+0L/OLXv4DEcP3yLb777VfodhP29tvcXN2iMXuOL/303+ZgmEPnGuS0Tb+X4AQSiWJ6ZpH1W9scHuzj2EWKhSH5gocxKcNBSMWvEhnojxJcG4p+jjBMCRPYbUYsNBbJB1v4nqCYcxm0Ojiux3AQ0W73+PWf/SW2t7voRNBst9lYv8Xyygxz81NcuXqTEydOUMoH9IYRUdxjoDRJ6mLbLlONFbxiwHAU4fsJcTIk1gMcWUIZCyMiwGRVLSg8YWMLH6kz4K+Uy5OIkM5owOatazgORKU8gaUYtfZIdciNm1co1ysszZSZXV6hubeJihP2t1ZplOcILAc/F+A4ioX5aZrNA1zXxXFdoiTF8lx2dzaIUiAvmKvkaUURyoCUdqYPwwRqzWoEJklriExAXdoujpcBiVFisAxIk+lkJEhGQ3Asm9hYnDz/KKWpCq+88H2+8Ue/y5Of/xKnL57ksJ3g4GEslzgVWG4GFMWpIud79GNNY+UCZ5OUty69SLXi8f3v/SWNqVs884UvUynY9IcJRtgkShDkbEYjQT9MKBR8oihBq5hz55aZn5/lpZdeZm1tnccff4JcziOKsx3KAvB3taAm4MiDRC6PXM3R5+NA9/Eg/zutdG9631F1HIowSVlf3aBSzJOogOef/2UeffQscWRIkpC12y1mFmaJ4wH7++sME4VbLRLGCk8LCtU6g1gghSAMFX/0u3/MI4+e5fT5Fdq9iCBXpHk4xJISZTS1UoVep5vpFRVKOI6L5bukKkWrsdSRkMjxM8Ygxu9091aFHK8AOS6ofhwIeVDFyNExYDIfvP94Zyup8XHNnl3ZOcvn81iWjee65HI2aToGpYQhTWKE5eIWAlxH0Mh5tA+26fZ7qCRGWhajYUytOkW/PyDv58Eo5qZnSJI87e4G+ztr5G2bLz79ecK+onNwm9MnSozY5PadW3iB5Os/90tsr72FpQsU/Dqtgw6u53Hl5lV6fY98qYxXyOO6FtEwpeQKTiyvUK/+DcJkB62rPPLIBV57+WUsL2Bx5iQ3bq5Rqjc4dbbCs888zZU3L0MckMuX6HT6jMI+i8szIAxBMeJsZZZSzeWg2afVa/PEs49x2OrROmyzcuoRFuYb9Add5pcl+ztdHn3ycW5cv4rnKx5/8gw7+7fw/Dxh2MYRgla3x5NPP0Gn3aSUK/Kn3/wOe5sjFpfmef31W4RRj9tXb7I0dxonl2cUplTrC5Rq0wirgO2U2do5YDRqc/X2FabrVZ648Ajf/96fgiuYnjmL45ygVM4TRW021g9YmD9Jez+iWMohUDRqdUbDhDdee4sTywssLCwwNz+LG9h02in7ewNyQcLcUp3OsM/JUyUWl3+WWzcP2N9rUyxJWq02KyunqNWqvPDyX1IoBpw4Nc3MdIMk6XHlakic9Hnxpe9SqVQRChARw1HCyy9f5pmnv8DJM8sMwiZRUsZ2LAaDAQD5QsD29h10arG0chHb89naXUVpweL8IksLVVxXYdSIU6cXODjcJkwG7Df3yBfrHLQPOGzvI5SLbXJcvnSL9bVVHn/qFJcuX2V19YDlE6coVabYP2wxGA44/8gpFuZKTDXqVAoz3Lq+w3CQAzmg229y4sQSRu2ze9giFwSsb6zh+JpKweLCI8u8+sNV/r//n/+br335Ofa2t+i2Dvjlv/HXSUyIoIAXlOn1b7O+vU8cK6QT8MM3rnHqVJFSpfIOTu2hPbT3aT9KYPvTFiz4tIzlk7Z3AkUmrAYfx2H6OPt+32PgA2z/PRq/231xPNAyeYcXHPt8LBg3qS4Zf37/Au33gSIf5fX9WQnOP+g6fj+A34+C+zzgdeBjsZ9EQPGhfXI28TMG7vJPw8QfTbCTbNEx8OGdcIP3A46IB7W/++PbFz0AEHm/9/hHHZD/MP39KGN4m4/67AAMR/aZHPP4vw8x9M82MMJ4smHGmhomE/jWRmPZNo7roLXCGEOapsAEKLDG4IXMAIcxUqCNGVdyOJgkwZgUrVVWESHG4bpxCrLSY1WLMdgg4a72hZgEL8d1CsYcA3Mzj6S1RmidBbjEpMrCHE2EjkCY8bIsgcR6sI+aVIGMqzKyJGLDcX0RyIAcpdSRNsrdbGmD1scDaOLYukcht6P2k+VHVF+MA5jjahyjs/MgBVk6scj6kJaFHp8Lz3MxQJLEpEl6j/PQRiGNzdFk28hs3y2JLQwFr0icpPT7faS08LwIrTVRFGNbzlHwuFgugVEIKUmlxKAxlkDYNkKDSVWmgVIKqAU5uu02h80mcgxuFYtFfD/ALfnoJEW4Do72kJaFH+QxQlKdqpFKm06nwzAckSvkGfb67O/t4w1GxCrFc1w8zyGKUzzbJkkUh4eHFPJ5BnuHbK2tgZAIJEkU0+l0MDoTju902ozCAZZtkd65g5A2uXyBemMKYwzD4ZAwHFEsFvAdB2E5YDtY2mDCCB0PcbMIORFDohSCUo0ceWzt8f0/fIHv/eGLzCzOMDM/xeziPPPLp/h//a/n8JyA9bUNLl2/g1VYoK88MIbecA/pByRhghYFLCkJO10unH6CvY2b2I5Fzo9IwgPSdESt4GHpCNep4LoecaQwoSBwXYRliEaaYWzRG2T3RKe1h2tZDEcp89MnOCzusr+VYiIXo0ZYKOqNaYbDAe3DfU4uzqNVzNZBi3yxQhS2MUkEaY7y9ApREjJs7VEJBOHhKrWCQ61gMdIDcGskVkwhcBAiRJg4qwxKNFp7oCTGKA62NwiHG7hWH8sk7O+s4Saa+VqN+ek5TsxN0wv7rB3skpNQnJ+i1+5g5mZYnD2BSR22d9YZjg5pttbJ50tUamXu3NmkWiuAdClXqsThkNl6gGcrvMQCJIbMX2WMfGZMU3ZXpSjTLxcYYTFMMsopxxZIbZCpQWrwLQmOYRBrpCVIYklQXuJrPzvDm6++yA+++032t1Z46unn8ByXnpakJqua8G2wUwtSMHaOjlEsXngMITQ3rr7FiZVlWu0Of/at/8njT36OmbkFuqMYafuoVGA5Fo5v0x8ZLAQWhm57iO24fPWrX+HO7Zu8dflNZmanmZubRUiHOE7BgOc4WeWEUkhpj/3Tez0Uxn8n7+rvntSSgeVHMMPEn2a6Tu1uH98vEARVup2U6dl5DluCTmeE63lUZubop4piOU+BPLgKywadZECQbQtsIRmNhnznL17gc59/jHPnl9hvxmghGUQRXiGrfCt6FZIkxvYcLJEBqpbItJ0c6aA1pBqklVUckmH4GXWggIxuawxG3zchEEeAz7FnxjFwRBz/7wFzV3Ps/6NCk0zohslzSkqB49qkWpOorPUoitFa4XouidYodBbkVSlKOszMLtNpt0njhHCkse2M5k/JkFF/SLPVJI47WNIi5y/jmxhXlImTHWzTYW97hzOPzdLuusRpwu0bm7jUkeoUtikjTRfb0ZRqNrMnpnFzPrZdpnmwQetgn8D3abd2CQKbV1+7xkF7C3SOUVxEOODkKiyc8uh2+xjtcXu1T6rqPHbhGarFOa5de4NCWiBKely5ukZht08UJzx68QT9QRlhl0gEPPb050iGeUZhiFZ9potzvPLySwz6Q771p98g8GF6qszu3jpzc0u02h2CXJVKqUK3d8CNW32KBQetWpw538CzO5w7v0KSHFKpTTG7YBMmPaSULJ+aZnd/l6WTZ9HG43f+5/+J7QjOXFym3025/OY6UT8gl19idvoRbty6yeqtLWZmazz11HmMTgjDkFLFsLRS4eu/8Ld5/ZUrrHV7zCzOMntijkLB4hvf/AMs28d16vQiw+xyiUeenMUvT3H56lXOnn2Oqzd3GMWa1voGpWKVzfV9WodDhMkReBbdzgBjthmMOpw6NUMQGKamGiSJxncKXLjwLKt3bhLFMcVCmV/6Gz/LN775DZrNNp3OCGHyGC25ceM6vX6L6akZNIdMzwoqjVm2ttZJQsOVy9ssLtQ5PNxGmYj6tM/a2m3yZZel5SWGoxQ757J6c4fm5jbVwix/4xf/36xtX8WRAStL01y/sUqleoqDZpte74BSpcHnnn6Kty69xbf/7CWM8pieKTO3kGfl9Fmah0PiOMUoizhJKRZLaBkyDPd5+vRpjDjLm2/c4Nt/cYNHHz3NqXM19pp7jOIRpUKVNy6/wfbBLl995AIHh20aJ+boNLus3r7Mrz/3q8D//R6O8KE9tI/RHgb4frz2YYO+xx/iR0H8nxA7CvRzDwjxzu0nIM77OJjHJ5rvdcwe1O/xsX3YaPtkgvpRg3+f2nv3wwWyxmsexSo+8PG+J7vdfGSsYw/toX38dhyUzlhWAI5Xnt2Dgbzzl3e3+0GS+1Z7p6TF+zKx3/4C/27rvetYHjCI97J3an583z5qn/hZAhXeCQj7K2afaWAkTmMS5YJSaJ1le0thY4SFsA2uZzMYhIAmSWPMMa75rJoj469norMhx8F/KZG2RKRjfQtpZVQlxyixjl87EzoqOXEA48BaliWSaU4c0USNfZbWGqn1uOplciPqIzc10S0xZgJYZDoZQk8CUfqeCdeEaivjfU8zbRCy/dMm006BY1nX5q5L1DoDI8x4vFl/Y1BkDNgIMd7/CYAzbnMXeBEZ8IDGYNBGIDBZqczEMchMkB6l8V0HKTWp1qhUj7VTdJYSrSfaKxOUWY8BLBsjBJY0+LaDY9kIIbHcLGDvug6WbdMfDBn2B1iuxLJt4jAkTbJjkiQJQgiCIA9C0u/3CUchtVodx3E5ceIESmtGYYgyhu3dXSqxJopTUClSgFIpQaIZDENKlQS3WifwAxCSXKWaBTTDEaM4JtUaS0iiOGI4DLEKBcI4BWkxGEX0dvepTTVQaUoSx+RzOdI0YjDok8v7eJ6L0gm+51IoFiiUiti2A8JCpSnlUhGVJiRJQhyOCIctjJDkggDXcUhNilYZnZrrBQwGA2zbpVzO8bd/9W/RORywvbPHQeuA2zfv8Nobl8gHAaVSidNnzlGZmuLZz53Hzc0QmgJbe226oebOdgvPcmgOYwqlMpbt0+/08d2AcsHFUW3kcI1AhJAKLG+eUTREyxmcSVtZxChFseCiTcIgHbEyu4iXt1EIwl6EUIZysUp/GDEaDfBLEmxFlKYUSwXCVGOpBNd1KfgFhr0R4UiTL5U4HIxY21gnXwiQeoSjU5JoE0ixPZdaaZaDfp9R2xA4BtdJQHcwOsbSFRyd8dSnYQ8z6rHYqIKWSBOS+oJkOELrmEHY5/qNa1y69hbnHrvA/sEOxXyF23duUcjl6PcPsITL3t4davUiti1wPYtub5+Dw02mpi+QC3zanRiEjW27iDgkZ/soYRMpgVaTmHf2gpQFzbkn80MIsF2BMSIDQGEM8mUOIkpUpu0jII6zCiPHsnnquS8yOz/Faz94kddefonG3CJTC0t4bpEo0ShhY1uCRAGWITGCXgILZx9HSZs3fvgyCzNTTNdK3HrrhzT3t1g+eQ4/sAlTkDgMQ4XnWBgDsdIZ7Z4yiBhOnz5NvT5ga3udGzdv0JiqUm9MoY0gDhNsy8Gzbe4l0sr2+Zj7yXySuEslNQGlj4CC4+0mPgxz5NeADERNE6SAw4N9CrkCU9Ua3e6IQqWM41uk2lAs5VHaIGyI44hRbDLfFcW4Ego5H6Ezf9tp9Xn1h1d45PGLnFyZp9nVWJ6LEAJp2RitSaKUKNb4nkeaJOTzOZJYkcQprps9ptX4P6HMBP84AsVFtvMZBdzE93NvttARDeK4fZYacBf4PnqaHKNoO14wYsYrCmnGx16jBGMhaJHRHBpFGMXYjkU+Z6G1Qxxr0jTBCIE2Esd2sB2JqwQRkCtPodKEQa9HpzegmA+wBBSKJYROMUg0DvXpRQhbOIEklQPCdBfXi6iXS1TyZS5fuYGlXB698Ay370Ss34nR2qFc97DkiFG4w2Er4dTKeSqFRdTI4dbNDcBguzFeXlKVU7z8g5s06jWqpQZRpNjb3afTHlIsLBCHAbMzK6yt9+gWbJA5tIzI5X0G8ZB+x8O2PA72CnQHbYJcgXavRf+tS5xY/ALtdsTu3i5J2MF1c0R2NNYR0nQ6PdzYwrItdnb2yOfKGFJGo5BOp8uTj5/Ftg2nTs9gy12andvMLhfwfM30TIPXf3iFbq/L9PyzeDmPdqfH9etvMRyFzJRrzC7UGRRDotGI2CScPn2O2uwi0bXrLKwsEUdDrl5bxXdcvvzlL3Lj6msoHXF7/Rah6vLMFy+yd7DPd176c2bnZjn32JN0OiFXrqyTCyocdg5588qQp549iRQJ27urFEt5em1FpxPRbLfptCN8z+fk6TksV+FaDu2DPgfbTWxL8FNf/Sn63R7r66ukaUSzuc70bJX9vS7f/e5LLCzNcfLkyYye0/RYnK0jpc3igsdwWGVza4twdIeLFy8S5F28IGAYGnTqcenNDWxvhLPRZGbuAjp2iPoxrb0mW9v7TM0sEjh5zpycIY4i9ltXKZSgebiD500xGsQc7Lbw/YChcZGmyO/93ndZv7PG/OwyN2/cZhSN6A090jRhZnaFdifBtkv0uiNyhTL7OzvML1XZ2FmnOl0jTBQz06e5eWOVU2ccipUiCytTnD31CL//h3/CyTOz3Fm7SqlYZ2dnC5m6XDjzOV5/5c793vChPbSH9knbpy7QfMw+riA7fPJB5EkQ8H0NRHCkD/IjDXzSz3v0ezQBe2AP7z2Cj/O8fdqqrX7EmNyDj+cHPc8/6nXxUffz0B7a+7csSZlxZjJvv6feYfG72iRg/kHvz/eqEHk/633osTyowQOWPQio+TT5xB+XfZYAnI/Z3olk5B3tL/7iL/iVX/kV5ufnEULwO7/zO/f8bozhn//zf87c3BxBEPD1r3+d69ev39Om2Wzym7/5m5RKJSqVCn/v7/09+v3+Bx58P0oJtUBZDsZyiDWESYoyijQe4ed8YhWTGsVgOEJB9kItzBGAYUzGYw9k9ElCIIxCWBaO6+KMNSGU0WNBdY7+igmQgsGYTJhdkAUjJ/RVUlhIYXE/n3u2wUmVyOTYaYzMsvuz7N8xaING6xSdJhiVYiYi8Fod6YtgTAYeSInWJhPoHdOBGTMWytUZ0CLINETEsX+ZcLvK9sNkwukZ4KPHFFomA364C64c0bSYbNkkQickIM04qCaQQiKFxCQKW0h0GuM5FkJm20wThVIpaRqTjIagNCYRoDIqoAlpjMFk+5skmERhtBnTbWU6LpYlEZagUC5QqZTwcgH5UpF8IUepXKRSKjMzPUOj3sAPcliOR1AoUpmaxrIdBBCFIaPhEAN4+YBisUSlUmdh5TRTiytUZufRCKIkoVyvkVqS/s4OruMgDLQOW3TabQwC13WxLEmUxJQrFUqVKsLPoy2HJNU4XsDKufM0pqepNxrYto1tS7TRDAY9ojBCJQmWkBSLBRxbMui0GLQP0fGIZNgjHvZJ4whbWuRzeQqFArnARzqCmJRBPCJC0xmM6I1iRkPFwV6TwWCAsjWFRsCFJ87w5a8+z6/92t/kN37913ju+Wep10pcv/wGf/Q//yv/7f/63/nuH/xn1l/9BjPiFs+dVvzK107wxccbFGSfuLfP4f4m3X6X7nBAnAwwUQsvaZJ2Nxi214njAxAjVDIiiSNsxzDst5BpSK+5T5oMKDZK5KfrbLd7YHmUCkWESiiVfG6sX2OkB6QyYpiMcII8XqFKe5gQKUkUg2fnKPkVKvkalnDwczmkK1FSUSoXGPRbeE5KPDhExG0Gh6tUAsVcNY9nUkQyQiRtHJo0ijGeaeOmB4ya6xQtjRVHRJ0u/YMD5ht1eu1DNAmvXbnEnd1NgkqRoJjRCe3uNRkMI6RlcHMGaY8olDyKpSKul4nAW66hXA0olQIsoYnDkFyhxv5hB19COuyBSrPqr/E8wBJjfQeRhYslGilBCo0QOgvGG5DSQguJkpLUlqSWQDp29n6lwbWzKrhRmtCNUmrzp3juqz/H1NwSnXaTS69+n+7BKqUAHCurVJhADJ4lSI2kl1jMn7rAc1/96xy0O3Q6HRYX5kiHPS698iLrN97CUSMCS5GzDJZR2JZEeg5KWMRKMIo13QH4uTxnzp6m0ahw0Nzh9uo14qRPsSKQliFRKvMBOquIkTKrgAMz9jfZPyNAodBCo4VCj6kQJ0AAY58pBEgr85uWZRBCESdJVsGWJvT7PXzXo1ws0e+NGIyGFGsBytIYSyFthZCGMEmxfS8DVAYxnraQSmGShHKxyt52i6tXVrn4yHlmF+YYhICUpAiMtFEGbNcmCLxMR4ZMJymOM/o7jCaJM/o/xwbPBVAZHaDIzo1jZZUlcgwAiUlFnxmzLx6b72SefPyejUGI7BoSZH52cqzueZ8T4+fdBFSaPKuOqkWy5dKSWcWIikmSMAPfVEwx72FLjYkjco7EsSyEtLG8PN0opRslaNvGLeRxAh/H92i22wyGQyzLppAvUirm0AxpD7dYPbjKlfVX6cS7xKrP5Utv4BjB4+cfw1PQVW4AAQAASURBVLdq3L7d5uZal4gSU0vnKU3Vsf0E1x1wenkGWwW0dxW2KFNvLCJslzubt0lFxPKJZS6ef4qzJ5+jnF8gHij2tg5ZnD3FuZOPM1M7Qc6fAuGRGhiEKbFymFs4w+zMRXQ8j80pWvs2tigQRSHtziFBYLO7u0WapOxtHeC7OVzLopTPMVWrY1t5pqZOUKssMegnWBK63UOieEC5VKNRnwfjk8Q2O7uHuDlBY85nYamIFCGlYpFcrkipXGPvoEOSWPh+jTMnn6BeWcASNuiY6TmXmWUbO58ifckLr7zInY3btHuHeH6AJfNsrO3z4vdf4eCwyfVrN7h86QrFcoFB3GR16wpewWVzt4MSNbzcAm5Qx/YLlMrTtNsxVy/fZmZqlkG3xY1rb5HP5fj5X/gFalM1GtNVTp9dplrPkSZDVm+ts7txSClo8IXPfZVRV3Gw3UEqSSGwMXpAt7sHJORzAf1en0qxwu72HnEY0ajXeOzRx9AqowrMF6poUtrdNjdurrK732Sv1QEnALeAH9QpFudp7aUMm9AozDI47GDCGBEZTJhw5tQcn3/uBIVKh0efnObiY0sUSwGnTp7k2ac+x9L8PCsLK2xv9vjhK5t0egGdgc3cwlk0RfYOJbdXQ373d79Pq5PQH6TYMs/m2gGlQgMhcty6vcvmTp/q1CKe7zI/X+fk6UVm5mpceOQsODHCDun0NhkMd1henuPsmdPoRFEMSuxu7n/g+fJD+2Ts0/TO9NA+RvssBFOOU5r8VQ6EfNBTdZR98rYfuDtpmnyfHFtxX7sH9PF+z8H95+34vx/V3nHffkw2Sfj6sBQ377j+8WP+QYKy2XvOvcf5g3XxvrYr3uXfQ3toH9QmjDOTV7L7+ZKP2VGi4EeC/91lkzm+hff0UZP79kHrvWP7SZt3HdADwI4Hbesdlh0t/wm/ET/q58hPkH3gipHBYMCTTz7J3/27f5df+7Vfe9vv//pf/2v+3b/7d/zH//gfOXnyJL/1W7/Fz//8z3P58mV83wfgN3/zN9ne3uaP//iPSZKEv/N3/g7/4B/8A/7Tf/pPH2gs/+1/fJ+ZqTr1aol6pUCpHFAoBOTzBaTIkys1iNb3SFJDqgxIC8u2EcJk4uST6gmdBd3FhBJKjEESKbBTCWmagQETQXNxr+jvpHJCCHM0OZZSMiksMfqY4xAT8ilxT8VtVhFxzGGJMTWYySCBSWavUXfzpo+2ywSYGIseW/Jtk/S749RZ9YsQRz4xA0yOt53s53ifxttiDAZhxtoiZjL6rALmXmH2u2PUWmdi5kKgVVa54jg20soy28MwJgojjAixtABLIRmDV/dAd3o8BisTXNcabbJzaTk2QkqMytpIIRBag1I4jgNCYuIYITSWJZBIHMcinw/Q42CiIasGEUoTDfoMDptEYUyv18UMhjiuTRSFaGPGx1ASOD4yVyJ96xq727vMLy5RqU/juQ4m8El1ysHGJpZl4dg2uXKRJIqpTc1QrFeJB312NrfAaOI4ptfvY0tJpVrFsa0MGBNk1GNG4ToOWinCQT8TnDWCNE5AWEeVAlortJRZxrgwWSBWaVzHw3MU7WaTQr6MUTFekENKG5NC2c1T1D6NRplHz58lijUHnRbN/X3aex1uXX6FN15pYYIi06efo7DwFK7rk8SCUq1CzndJIof+aJ+g6CHjCoc7bWZmV0jTCkb4WRa8GWFJiJIhcTrC911s1yVJLUahRWpyDIaavO8SxyNyeZe5xVm63T41O0AbNwPRYo8gmMEYmzCKcWWC53q4jsHN29i+INAWUWxIYxejqygjkbaPxqXfH5Kr5mnuHVLIlSmXPCw7oJB36XYPGAwg7KZ4rkOx6mOJARaGg0GbS69vEI1GzM6eZmd7Fc+ROH6AZSRSSdZvbfD0009z6c2XKAR5Ajdg2B9RKhpkwWfQj5mamqPbiWi1+kSxJoqze8P3bJKohy3zCEthpD2mpxMZQKrTccBbYIyV3RmpQksxvs9AHpscTDSBxu5nfMdmXshxPLQxjCJNrthAJTbVap1Wa4drb75Gt3XAqdNP4tgeqRbEcYq0wBE2IBiOUgrVWb709Z/n5Rdf4OXLN/jcoxepGsHqnVv02x1ml08SlKsYaWPZDmmqEY6DdjKflSrBME3xHEljappCIU+n2+b6lRsUS3lOnLpI4BniiIwu0GiUyrSTjMjY+tIxr1jmL8dVbwikGOsdmazBBNwVZC5SomkedHBdF9f1sB1JrARaKWYaNUbDCGM0+XyAkBKlNY4lQQssW2BbFkor3MAhllb2LFEpgeeyv7vLQIacP3eKYrkMWozBCIMtJMIRpIlGxSmBa6MdF4TAkgJwwIAtsz0ZhhGOznSRbEeMge8U27KQlsQIMS4iNGhzd16XneXJM+beybAWAmPksRe4u8dm4sUFd59pR67dZLUmR43G1I0ZMGMo5wsIrUmHIUanSMfCBXqDPo4tyecLhFEMRuB4DnEYEasEdIoxGse2KBRyhMM+Q2mwrB6tw9sc7l/lYO8GU9U8th2R6hHl6gxJOiDwE5ZPnOPVV3bp9mI8v0y+UGNqtk5/2KE3aHLu1BJTtWl2Vg1TjQZbO+ucOn0Gxw/Yb20jyJHzZ/CcAuV8iZ2dDaQJ+Lmf/jUEBZQK6HciylUXRMT23l4GFHoO3W6K61TJ5Ub0ezGNRoF2ZwvbNRTzVVZvbeBKmycffxbvCY20R0SRxcFuwmioaTa79LoxSSKo1nKcPH2RjY3btFs9GtUKrufRarVxXQvPsajWyjSbm/Q6IVcv36Lb3iKKJMNRzKJVYnN9j7feuMT83ElOnDxHkI8ZjFrMLy/yRLXOf/3P32F3p8XsXIlCsYwxAs/Jc7B3yHDUozaVw6iYRCmUybG91Wdj8xrLJ2ZZXDlJ80CwdqdHFEv6fYdcvshg1GVtbZthaDO7MM/C/AJzCz22N6/jr2p8XzEaDhmFWwSJTapajMIu5eI8/X7IK69eolR0mV+YZhhpPL+MsBJ03EeZJrYX4bl19nf36feGeJ7HKG5z/Wab1Y1rrKys4AV1BoMRw4FEUKBeL7K9u4UXLNBs9dnd2icc9GjVXYo5m5WVaQqFE+zuH1Ctz7CyNIVrO7R72zz11KMo4ZDLzXHlrR9SbyzR7hygdMze4RrKSOYW5un2RwxGCYNOF9sWCCn5ma//MrNzc/zFn/0lWqXcvnkNI0Y0WwOaXcPeQYcTK1UkRS6/9SL/2//2cxQrKTduXuett+5gyRzLy2ewbMPu7g5J0iKwJecfneHOzcuceWSOh/bZsE/TOxM8zGH+TNrHRaP0VzU79kPZZDZ17Ovkw9uO4dFk9N625r7ljN/NMe99Yz4oePWRnbujAX5E/X3Q7f6ofUwqwN/99w/SpbhvwYP1YN7fuN7593db9eF9+dA+oJmj/7L3vqMsOPG2Ztlr348OALxt7eMg7vG/D2rzrh09oMF7tXnHAP+H2MfJe/FP4n34EAh5V/vAwMgv/uIv8ou/+IsP/M0Yw7/9t/+Wf/bP/hl/82/+TQB++7d/m5mZGX7nd36H3/iN3+Ctt97iD//wD3nppZd49tlnAfj3//7f80u/9Ev8m3/zb5ifn3/fY7mzq9ncOwC9hS1SpExwHEHgu+TyJYSRYCRRbGi1e6QIXMsGoWACjBjBpDrCaH3kUuQR8npMAPhYxcTk73HdjbuaHVlbIUUWNJKZ/sZx1FKOJ6RG67uAy9iJZdu8S3810fIQZDooDwIgxoNAMBZL1/qen4SY7Ev2XVoSdAZamHse3vIIGJGScfXI/f0wpr4aryHkPcDIRID9+LE4PqlQSiGFwLFdtIIkSbKAPilgYUxKxh6j7270nt0044qZDBjRSmFZVkZLplKkZeG5bhYxHZfLaB2DUWilMyF6lYDJqGzSVOF4AYKM6ssOfBwMsWNTrtdRkaLd7RAODIPBgDRN6fU03W4f38uD5VAqVoijBMdySMIYYTRJFKKFxrZt9vf2GA6G2M1D1tc3mJuZQa3fwRaCqak6vu+TJAm+7zLoDsjnAvK1Mturd6jVapkAe5JlivvFIvFwRK/XI0kUjuMy6A9Bg5/LRN2VhFQlOIFPuTiFMAa/2qCcKKTcBZPy8vdfpjsYMD01x/zsAjPzM7iVUnbuwhALmKqWmZ2qYz+WY5ikDEYtNjd2uLGf0Fw/QMsakUqwbI9+GpEaxTCJ0QOBUBXqS8/T6Woct0KjtogYpcRGo4TG8VLCaEhjeoaN9V38XJVisYpJPYb9NugI39E4rs1hu0O1XKden+PKtduUqnUCv4CQmubBLoUgC9yr0RDXtVGqj4WFTDVSuUhRJJdbIBp5BIGD7fuUcylRaGGZPnGvT1D00IniYGeXfhhSKE7TaQ/wnRJRGtFtb6GSFpYjmCnV2dzYIOz3mJuZplatIi2HMFHsbmzjWx4bd9Zp7rXoN2aZPbVMo9FHJRLL8sEYWu0Bu7ttyiVDHBu0lqRpTK3gUSzYoGCgu2jtY9k+UtiESYxKQjzXQ1ouaZqSJAlGSMDGmKyySx57nh9pEE3u4WOfjBZICyzHIgwNXq5I82CLleUllpfqvPTiC/zJ1ct85as/S7Uxx0ClxLHCsT2MlkjHR0mNkhZPPv/TXH/zDb736ps8ee4Mzz33eS698QZvvPI95k+eYOnUGXQsKXkFYgPDNEG4HkZCmgDKEIcxBT/P3FSBRrXG1m6Ll199hbnZaRYXllBKoZTAtrIdtBxBFCcIYZHp9IhjWKpAShBj4FdKsKzs1zhOieIYrTOqrlwQYFs2iUoZ9oc06lVAkqY6E0B3bYS0kFYGAliWIIoNli0YjWIGOuXg4IDRaIjn1RgMB8S6w4nHH8UqlFAKkjTCaDUGcW0cywahSZIYLTONoVGYkvMcbEswGqUoAbmchet4pCrBMgbPlygtiGKFMuMKQ0tklTN3CwhhDC5PxOuPjsr4ulAI1LELY4zBTIpvjntc5Pgf4/oSczzjyJgMlBkD+Y4RhKMI25ZYUtI9bOLYNuV8DpWmtJsHANQbNZQS9JMIoRVpGuG7FsNhj+mpGq2DlF6nSRKtoeKbWOKQpYUiS3Nz3L5+mTgZsd88RKkY47gctreoT81y9txT3Lp5QJxoBoMud9Zuky9IDlr7FPN1jLA5aDVROmZ3/5DBIOHs6acxxHjONOiUTrdFLpcjSQ3l/AJbW11AMzc/izJ9fF8yHCrS2JAPauSCKu3WLqMwpNGYxhhJqVRh+Uyd7Z07xCObhamzbG1sMhhtUygZBoMO12+uMuiEPP3M46yv7bCx1uRzn3uCYd+iWJgin7eYn5viytXXcaSmXltGItja2EMIyeqtFo5VZW6mijIW3d6Qw4MeW5sdDvcV+zsxpy8sE6cxwknYWG+DdqhXlxn2FYf7h3ztq1/j9vVVHBkw6I9I0hFChpw8Ncf6xgabm23ywRSokB+8fJNbqy1ca47BwKHXS+l02qycOMn1G5ep1mok8YBXX7nGY088SbEYMPXkPJ5bYH8/YnF+BS8A6fR48ullrl3ZgLSOTktcufIWz//S1/hv//X/R7ff4fkvfpmdnR3KFZflEzPk8wVuXu+wsXZAo15nMOqxsXGTqal5Vk4ucmf1Bo888iSDkcK1fHzHo1B2GYZdBsN9fuV/+Trf+bPvs7e1ytz0PKOozeb2LR574lEKZZe3rr/C3k6HRmWBWqPI9Rsb7B8OKJdXGA5S9navsLg4y8xcBemG7O03mS+epDZVZnNth85BlwsXz6FMxMs/fImTnWV6/QOGoz5LK9PML9TZ3t1kbX2b3c0hOuzhuFCqVjhoH3DjzibtZot6ZQZbOpxYOsn1W69RLFTo9zqs7q+xv7fPyROzLJxe4aF9NuzT9M4EMMnJ+shejT8NwfXJi8knCft8iPjr+7OfwMDMJ21jpoe7XKEf1zF+fxdFllLyIcdwHOj6UezHHQj8jAXnBGMadfjx3JKfBr/60D5jZt7+dUJTL+XxoABmEtM8Sox7P32/R7vjGXkP6vYdcYv7fng72vIeY3sfoMmHto/twf4J2WfL734S9pFqjNy+fZudnR2+/vWvHy0rl8s899xzfO973+M3fuM3+N73vkelUjma4AN8/etfR0rJCy+8wK/+6q++rd8oioii6Oh7t9sFQPrTeJ4HJgUdkSQ9onTE9k6HUX8XoeDiuZPkcpJRqDCWhyGjuxrzz5AJmouMvgmOrhmjFUaDVpl+SJoqpMyC6hMA4AgIsKzxavJe4AOOZds+wFMYk9G6ZA04ugHHy48iXEIcOTUx9k0CjgCVu3z5HG3j7jPV3N0W44oSmQUMsznheHxGYPSxkOLYaU5AoOPAUAZYTIAQiRxrsBh9V3PkOBAihDii47Idi1QlaGOwpI1SKhNfFxJhMnH5SVsjMvFnkanJ302+MYYkiVEqq+SR6IwiR44P05hiJ2PZt47WUWmc7ceYNktIkQm6Gw0qQZnsGrAtie04KKVwLYnI2QhbkihFsVblcGcPx/ERSHq9EVopDg6aPP700+QbU8TdFjs7m/j5HNKC0WhAv9djMBhQrVQ4e/oEge+TpilGaVzHxrYtLEuSy+XodbogBfFggDEa3890B6SUCNdlb2cbW1iUy2UgQmuV6ZE4HmEYkSQJpXqZIAgYRiFhp5MFOkd9pOVRr1QYhCHPfeFZRqli7cYtLr/5Kn/57RZ+3ufi2XOsLK9QmJrFdh1MlCATC5OkFMtlpmcWWY7LfOvVNnKUI2dbJCohNZJqfQa3WCQcjPDdPJ5XR9ua3Z096sLHliFGZOBftZ5jFPUZDENefOkHfOXLP41luwQFh163k9EMeR6DXo84UYRRynAUgpDkS1WGSZpRkuWqCEcR6Yg47OMrRdn30CqlWiowDB1Gg4R2r4+QBuV4xG1w/QqDbpeZ+hKj9iZETTa33mDx7BT5WoG9wxaVmSV67RGDTo801kSDhG7zAJMMWVlYJIokN26s0u60WVxcYjDsg3SpVRbY3NqhUZtm9fY6h/tdbDugVK4wGkY4jp+JUFsWURgTxSnVag3PdnCFAT0giXpEqSTEB6eEMAECl8CrYEtBFKdEUYKRAi9wEZY1udrfZT593+uXAUymHyKkAOlRKpdYW1/DpkPvcJVbV65hwkPOX3yGxx5/jtixGMUxsYE0kVi+P654c3nq2S+wvLzAK9//DsN4xFd+6kvcvnWbS29epndwwCOPPskoTLFyBYqFgF6sQAoKJRudANImihMgxXYCTp4sUJ+u8+Zbb9E6bHPhwklyuTyDQYzjuCRxjCWtDBQwmc8wZFpLk/meZYGwBFpDGGYgrCUlgevhuD6OY4gigS2h2xlQKZaQ0iZJMt/s+w7CtlAic8VpmmC0hZQWsTIEgY9rQlqtFvNz8yhtcH2fxuIy+WKJoRZIy8JBoNJkXGViUEohhMTORCYQArSegO/ZmYqSFDPUWLaN63mkacqoHWI5mY9KlULpDPWxJn1gxjRj4Nj2GMY4DmTcLfY7riGiDUeA2lEhib571WSPHjPpIgNRBAgbUCLTjDGg0hTPc7AwRGGEa0l812EwGuJ6Dr7nsLu7hzQZxaA9pvMqFHIMem2USdnfHyBIyOddRqkiVEPq5QpPPHGRUtGn39lha/OQubknKRbmyeUdbt1Zpd0cMuof4Lo2fmBhiNHGUK020GnIpTcv4TBFqVJmFHXpdJpMzZwgiQe4ro1JfTqdAwp5Q7lUo1ScIQ4Nru0z1ZhmMBwg7RiVKIa9EEu4pLGiebCPZRkcz8F2XQr5aUZRws2rl/ELmkceOc3GrR3eeusqubxFvbFIrbbIxfNP4TlFXnzpRX74+psszJ8gyHu0W23KFY+NjS0Cz6ZeqxOHQxr1Ra6+eYP11UNOnFik2drHy3m4Tsri4hQv/mCNO7cO0GmB2dllEmXRaY/Y22vRbG3T7ryGSiU/9zO/Rn/QotXcY3d3kziOKRbrTE/NkWqbjc11huEu1UqdtTu7PPv0RU4uz3D1+hrnL17k1s09XnvtMmkKyyuzHLZ3GYY95gtLxCObYU/yJ998lSRJ+dKXT7O5sc2LL3yXRy+e46s//QXeun6bW7eucLA/olF5FJRg/6DN3kGbqdlplnKLaCEZjFIGwwHXb17hqaeeQOJTqRbxA4dme4dcrsLuVo9ESVaWz3Hz+iqBX6DZPGSqPoVObQ73DlENi7mFEk9+7izJ+ZMszE3zxmt/hu/7rN7ZoFyt8YVnv8yffOs7NNtdDttt+qMRxfICly9fJgl9hqMhK6cshKM4eWaBx595nN/5H9/g7NmnmFuYp9fu0R+0CAqGOO7z7e9d59HzTzDnN4iGAw4PWoyGKeFQ4lgFBr2YQdjhr//1i7hulfPnTnD7+m2uv3WTxbkSP3zpJgfNJp975nH8Yo5hb52VlYCv//zneeEH33knB//QPkP2cb0zwTu/NwFH8c+PFByBTzaQdxTgeR/Z9x+H/STFTv5KmDiWmf/JB7+OJ1l+gJUYr/TRBdJ/HAH5jwsUEcfO40e9CyIDRzI87YP4mB/h2nrbcfqEfNtD+4zYg+6rcZK3mSRoH3/4i7urfYh78p41xLG+HgRUvBtF1oMWfujqkA/Z7h3XP/rvwfZZAS/fNwD20D5SYGRnZweAmZmZe5bPzMwc/bazs8P09PS9g7BtarXaUZv77V/9q3/Fv/gX/+Jty43jEppMxNeyPIQnsLyAopvHy0ccbO0QJoIkgSQxpN0+FCTGJgukjdWLswoJC6NTLCNhzJ9uxtGjLGCljqJIx0ERIKs8ASZE7EfAizEg7g9Emrc/J80ki/f4A10ijDrm0FQGPpgxSGFNnNBE6H0crhITvyfGVFjiaNJ0fOJlTCbKru+rLLlLCybeViUz+ay1PvabyMTdjwEi94Mixx2xJS2MMVhjyq9wpIjjBCCr+hiDIFprdKoRMgseZvopGU2F0Tqji9J3gaosZVncDTCqjEZLQNZ+UlVCps2i9ZgOa6IvI7IXyTCOKBQ0tuujlCYaRSAEYRyRpin5fCkDTFxBvTZFEh8wPT2DkA4kisP1dTY219A6IdlNcAOPWq2GMYZHn3iCYqMBQmL6/SNHNei0icKQYqWMdG1s26bdbpPP+czNL2CMxg0CVBIRRSG2bVMpVRgOBiSJotfrkc/n6aoecRIxf2KFUb9PkiQ4tkUchZSKFZIoItERufoUcRzT7xxSrjd46ivPgWWTtNvsbG1y89pVfviDF3C8ItWZBkvLJ1g++zhetYokRuIipMMoTGn1EoJigThKCKMYIySlUh3hKELlIo0LPvjFKtt7XabqBZI0RgibVBl8P6CU9zl1eoVGo0ark5LzbKqNGr32LgjJVGOOg+19Go0ponhIkPPAgGMH5As1VBqzuXqVxfkijakZuu0dBt0Ovu8T97to5ZFECcLRGKFIhMIrV0liwcnTixxurDLs7ZG3UgJP020f4JRr9EODzBcIKtNIt4QrQt669CL58gJfef5zXH/rEs1eyNziCZZXLFzXZRiGBEGOleWzLC4ts7pxnVNnThOFihvX76A0lMt5lErodVqgU/xcQOA7HB62KJc8kqTL1vptIivAKc1lNFyxHmfg2wgEUZQShiFICHwfy8nAyaOEpmOY6vH78f5nuBAQxybTLXEESQy5YoUk2uWP/scfMV2x+IWfeY6XX36NN37QZ397iy98+aeZmZmlNYzpRwbLNqRaYASMUkmhOsvXfuYXePEv/4T/8ju/yy//ws+xtLDEn37rz7j0+mucPv8othTE4YDSVCOrHumP8L0cwhZI6RJHMUZYaC3xPI/nv/AEN65v8NJLP2RpeZlTp+bodkdIKfE9SRhP/LOV0WdN/BaGNM2c6gS4tW0L17ax7czdpIlBoOl2RtjSwvcdLAuGw4QkUXgO2McrK6TEcywSlVGWSQHhKKLf75OkCd2RooQkMdAdDtGOi0oV9rgLbURW4TP2VcJyiBJFPrBxpIVShlSB69p4blbRZlkC2wYp7Wxfxgi54zgkSQIGtMiAsQxHv1vFp82kAuTuPpjxc4UJBRncBU8ER+tkOqJZNYvJCkbGgPXdi2n8VMHoBJVECJldT91WE5Ok5PMB/W6fMBrhKR/bdWiUAjzfZdjaJ4pG+K5DlGiSqAdaEeSzqqokHeHahtpUg7m5MhtrmywszLO6dsjpk5+jXDrPzlZCfzBgavpR5i7Ocef2Fq3WPpYrefYLT6A5yxtv/Bmtg30WZheplhOG4R5apgyHbfTeJvOzM3ieSxol5PwcxYKN5zsYY+FYRYbDHUZhH3TMoNulVqvj2QXW17aIo4TFhVn6oz2m506SJi62yFG1l3jl1TfQZkjH30UpxZNPPUK3PeDOrV1sT1OrRczNnOD0ycf52lfh+ee/wFtvvY5SAkmZetnBdQoEOZeN1h57u9sIHE6feJzbt24zP7/E5tZNClXJ+YunePbZx3jmmRJvvrFFFOWZnVmm3WkxGOa5cOFxrl+7zQ9fvcTqnR3KZYntJ9y4cZW/9uWv89alNfYPDikUYG+vg+83WJirMzOzyOuvvYEyFucvfI75uXNcurRDtVHn7NmzrK3d4M3Ll6iUi3hOmb3NDaqVBicWTlKsFnjlB6+xtLjEk48/Rbu9ywvf+x6Fcg6Bz8rKPJ1mQjzq86Xnv4olXKTtEMUR1Zrk9JnTvPnGG8zNnKfbFmxtrlMuF0jTPsW8z9nTZ7l5a5ed25sMex1cz6fg+yzNLpAmMUkSUy2VicNDrl15A9cucPn6FfrdDtXaAoiENIXd7RGjUYvAq1IuFUBKRlHKzVsH1Gsn+NpXfp4//dNvcO36DfaakvmlKZZPn0UZWF1fQxqXfDHHMO5QzRdZOr2IutLn9tplZqZm6bdb5PMFbMvh0YuPI8wqSuewB5rf+/2/YGGuzFe+9AXaBwnPPf3TDPsdrl67TJDL0W0a9raaY9q4JnfubNFstnlon337uN6Z4J3fm95mP3GZyR8iEDlZZfKI/DQdjo9zLJ+m/fxRTcARVRV8wH17v43f5dp60LUzGdP9C3+clQefNvvYYnP3B1M/JhDhg/iKo1P/bjv9QQY5vnb+Kl43D+3d7R7qKvH2K2582QhzzPeI4xfy3XWzz9z724Ou4Q8EdrxHww/iFz5N1WafmfnTp+iY/djsvuv7fdpHCox8XPZP/+k/5Z/8k39y9L3b7bK0tMQg7JAL8thuxrOeKoFKNElqiGONwsGyAww2YZSC46FUpm+AtI+AC8Zi7NKysmfOOPNViIy6SmuVUWtNUmilPKLYkpkKcDawYwq1Gc5hxhEk7gVSJvfQUZ8mq2SZUHFNdnRCQTUOcBkmAbVxX+IY4CHEOJKlx9nbx3RDhBjrEYxF4rMu0RiUyTQsMnBoIsKuj8Z8JLDLvfd+BpRkkTJjBJaVgRlGPSjjJYuySSTGZNUgfhDgeR7DwWhMpaXHWFKm9ZKNQYNRIDXSsrGEhZTj4Oc48KeUOjq2lm0jtMZImWksGINRiiSKM+56NwNGhBTYjpNllisQjkvnsAkIarUphGWjjMazXaTvITwPezREpxrH9Th17jx72wcoy8F2XPb2DqjUavzZt/6Y8xfOMjvbQAhDbW4Wt1BgsL9PEoY4xqA7HcIoIhqNUEpRq9fIlYtEvR79TpvA80jSlGazydLKE9nlNKY008bQ7w8QQrC1s41t2xSLRTzlgxCUSnnixKO9v4/t2QRBjkG/nwnNSxCWRKFh0MOzBV6phNSaaH8H27VxghzL50+zdPE8Joxobu1ze3ONjfU7vP7SGwR+gdMXTlJbOo8qFihVKjgjM9ZsgcXZJbrdmEHXAunRGyTYrsFYhsp8iZ3V26jDPpXaNAKBFBq0YHd3D0sI0jTE912GoyHWWAdIpRCbLDvbmZasr13n1JlHcFyHMHVIhilGwFRjFp32iIYDAgcsHRMYG1ta9NSI2dkKe502B+0DfDshF3hoNAetJofNG9QrhjBukkQhaT/goBNy4uxXaQ0r2HYeYRUhbXPxyedp7t3isNfnqz/zdVZvXedwb4+d7V1s6VCvz9CYmgNhI6TBz+VIjeLW6m1ur6/y5JNPoHQWLA48iRQRjh3g2ArHThgNdihXfZT28NwyRlXwmMYJAhAQJSHDQROlFbbt4rgBUlqoFMQxEHYCjLz78zrzP44NRghiBV6QOaBIxZTLRZ5/7jH+8H/+NyzhkM9JkqTLH/z+f2du+RSPPv00lWqd/U4fO1fIAttxRClwsUSBn/mZX+KPf//3+B+/8w2+9lNf5uf+xi/w0iuXePHVlzlz9iyzC/MM9nexPZ96oUiiNdoSJEpjeS7CglZniLQMQntcOH+apaUFrl+/yYvf3+X8+fMEBY8oyqpGMv0icQSWGp2534x+MEVKge86WFYGMKdjbSnHlqg4pj8asbBQQacwGiniOMK2HWzrbiVdVpEmSFNDkigsz0bpFNe1adQqHN6J0XmHBIlfKCNsj8QYcgWbYS9BpQmW1tien/lbM+4vSUgsK7sPkgyE9X0Px7GxXIskTYmjTC/J91ziJCUexQhL4LhONjitxhV82fPAjAHmzINbCHkMyBAgTabGIgzjSpvJsyd7wRxL2x89kPRkvjymexTjYyuERgqNtDW+k1WKxOGQWr2IUIp+v4vnO+PqToUwCt/3cR2NtlKElWDiEalRFAObOAwJXI80ihmMupQCl4JfIIlDrly5wvZOn3r1SfK5s/R7VfJ5j+FwH61K9LuKYT+mVlnAcSXXr94i1SGFYJYnvvo8/X6fw709XM+iPzxAKQ8i0BTo9tr4bkAch/T7PqOhGANpQwoFQZpmVSVC+LQPOwjhUcyVOLGyQBg2CcM9tKVRyiJwRjS3m5w6dZ5C6ZDdg5ssLM6zvxMzM3WKfK6BF0gGwxCdFJifWcL/whR//ue/j+NKzp65wJVL6xTzeYwakph1wvCQKK6xu9fkzMrjXLjwFPXaNKMw5c3r32bl1Dy9QZfHnziJoMA3/vhFtEkZDEdYlsXv/8ELjIYJCwuLCKno9Vt8/tFTrG9e4dLlV1m706RRXSQXWMwvnqNaCVhf38dx8pRqYIQk1ZIf/OASaQKlUgHXt9A6xhhJHFqsrzbxnDpJLGk1O3zn+9+h0aixsb5HqVSlMe1z5colnnvuiwht0e8oZmcWcOwaN2/s8H/8p/+dU2ernDozy+HBGoeHLVIV0+sKopFkeekMQc5w4+Zl4jjm2rXXGA0iLNNncfpR9vc75AoWQo/I5x363ZTZmWmQVa5evs321hZnTp5mMOzgujU21g9xrBxCGubnZikWU157/Sqz8wt8/rkvc/q0xZ/+6cv8wR/9Gbfv3MYLIqrTdXZ2W/z2b/9fqBRyuSJbGzuYOOLEyRpYEd974U+p1WrkC5JyTdJuNemP+gz7cGKlQZyM2Ny+w8/9/M9z9ZrHzas3+OYfvMzibJV6vgmmx7PPPAoGhqOErbUWrcMBbpDi+Q6nTnwBeOHdnPtD+ytu7/Te9EC7P9BwPFHrg9hRP59w8O7DUGt92KqXjyso8mMJtnwWAjofwCaTmw9UdcEHw0V4wHVyT+XGpL9jAcbJtXj35f5uYPJtyUofQs/ieLD+03pKP9ZgZhYPufdw3g8ifHQH5/1X99wP1jzAzNs+vHefn9qT/NB+7DbxSZM44DiZ+x6g5Oi39+rovnbH/dV4Ow/u5jgo84Cxvd9l7zrE93Ev3dP8PRrf9/v9d9QH8lbvtq0PO5f6wPYBj89De0f7SIGR2dlZAHZ3d5mbuysOubu7y1NPPXXUZm9v75710nEgeLL+/eZ5XhZUuc92dldxbR+MwPVspATHsXCEg5EWGuiPQupVnyRRhN0+fkWAUtjSHs9djk3kxxULwmRk7WacfXJvxnUWbNdkoITWGmschOJYFi1klRXHudrf/hDVQFYBMQlOiePj4W500xxNuDLAQ4+FyCVgxsLmCBBSjkWaOQJNJtudVH0c34aUY8oske27HgM+E3BkQsnyNn93zA9KaR31r4U5Aisy2q4x9ZjMWFSVUhmVl+vgez6CEalSmAlnyxFhy3hfUYgJQdCEUkzcDX5CplmSpinWWKgSsioRMzl2Yx2XTPfFzQKGqSZViuEgRClDGEWAxHH65IpF4lGEUhpHC+xEs7mxie24TE1NkwxiKqUSrf1DNjc2qNenePHP/pRao8aTn3uS0bBLt9viYHuLWq3OjevXufjoo0gMcRTh+T6WFNhWlv096nYRtk0yCscAQUq+UCBWCh3HxHGIMZo0iUmVot5o4AyG2LbNoN8nCHJZJY4A3/cRVqZvo40hSVPsJCG1LHSSgJHoNAGtSdMUL58n8Fy0UqSjHmZoIAXhOFRnpigvz2IBSVext9tibWeNV7/5Lfy5p9mLprCsKaRR2MbQ3mli2TmKhYAEgclBlGiQMa60WDg5x5U33kJbDsVqA60F1bJLt7mPhUEnI7qDHhjwXQfX9Wg1mzRKAQvzswgUaRJhW4Zufw8vqI6v9YQggEGnj0OKZ8XkfMHG2mWqlSK1mRV2etuMhppqvo7leOjRiGQ0YGd/i1pBYkTCIOoR5ALKjXnKokoSp0TxMAMllCGOU1SS0u0NEHrEr/zyGcCwt7tPuVIl5+fodvvESczWzS3W1lepTJUYJimN2Tl6ozQDN8mUGqRIyLmSWjnAsxTlYkAcjrCFCzKP5ZVRTpFECYxRpCYhSQdoM8TxLHw/AANJqtDcrfASx8vJJ/fNfTewGN+8QioEmhQb3x1XKlgSzy/S6Sf8H//n7xB2muSCHJ3hJqW64ae+/kusbh/w/Rd/wMlzZ5lZmEXLFCMV0ndQqQZlkK7Pl7760/zh7/8eL7z8Bgs7Mzzy2EVml1Z48/IlWq09lhaXkCpHPxphuwW05eJ7HrHOjlOxkiMOFbHSJN0Ex3Z49NFHODw84Nq1a/h5j+WlBYKggOPZpGnmY7Qh898YHMdGSPfIL6Tqru+yLBgMY8IwpFwuMRoJpDRgZQBDoeDhO5IwNUdzy8xHanzPITEGYQS5XIDjOKRJgucXMqhbKzzHIrAdohBc10G6FtpkFSBIg9bgugJl+6RxhLAlvidQjkSQYjRYVkbllwoxBu7BkRbCzfyzBWhtwGiMMAiszN+OnwPGGIxIkWTPicn7s5hcjeOMFyGyqhAhxfjpM1YSkRk12WS97LmmsWUmbi8xGZApDEInCK0QOiSJYzrNQ5RKUZ7LsNcBnZImCUEuR7lYBCDnSOI0RKcpWhvyjs322k0K+YBGJYdKuvzg1ReJkxZnzz/C3NxjJGGRNA5otlMsqYgTyeFhl1LJ5cypU+xstygXihz2umxu7JAPigTuLAeDNVZWztLq7SB6CqMHHLRaCDFgaWmJZucQz3LQxhCPUtJE4boxozChWq4gZYpKh6RKcXiwh06hWj7HG5dfpVgTzFbLtLttWs09uq0IlY6YnTNEUcJ+uE8SVTi5NMvNO0ParQ5JamHPFhgOIlrNAyq1gPmFKVbv3OCFF14j8MpUK4oLjxV58pmzrCzNkwsK7G5ssb8z4Ka4Saz7nD17liRVJMrw6quvksQBU9MVHMtlbWOV2dk5zpw9RRzF5II8+UASRpo33nyd5eUGuZzLqTOLbK61GI48dnYOqVaLCBmTy0lK1RwrJ5b5zvdusb+rQfpgFBsbm5SrZabqFbbWtyjnqywtLvDHf/wHnD1/ivNnTnPq9Blu3Njkxo0NGtMVhkOLO7ebNKZqbG3fwfdblIs2J09Ms7I8i+fEPP/c59naXiMXeFh2gV5bs7J8gus3X6I/SMj5DirqM113+NqvPs/LL7/GnesbnF5eAQHNzgHdWBGFgtFIUciX8fwS4XCV7Z0djDZsbhxyuDek2x1SKni89IMfYLuQLzTQ203+8///v7O62uTJJ79Et9uhUqliuyN8r4gmwpIJvi/5yle+xLe++Q0alSlOnJxmZ2+VNIFOq0+9UkGbmOe++Dm63T7RyGJne5tf+uWvcenNN9jafYvnnnuCaiFg1BqB7vPqq9/hscem+dKXn+PN16+yvbNFriDxfZv9w31WTszTad5b6fvQPpv2cb0zwTu/N72vt+ej4MVnODv5wwTJP7B9XKDIx9Pt2+wji7E+DNZm9tFcb5M5/Pvv6gHBzB9lHOIjvvc/6Qzvo2NyPL7yKbF7gLSH4MhfSRPi3rP5vsG0u+/3R+/59wMhx/7e0+ZB4MTR4rugrri/zf0DnHyc9HnP97fv59uXPWhD79L+Pe09AIJ36/PjcA8PAoLeyz4wMP4QEXmwfbjj8pECIydPnmR2dpZvfetbR5P6brfLCy+8wD/8h/8QgOeff552u83LL7/MM888A8Cf/MmfoLXmueee+0DbcyT4jk2cJPS7XRzXwi2XSZIEe0zZlNGJCEZRRGoM0rJQaYxljXUrJg9KnQV2ji7ISbBfCBwXGAuGQxZokgYmFR0TSidEBnJMupzwssNdapPJ+hMzRmeJJEIfBa0yB2bGc5Nxlq8Y6wYYnYEwZHyBR7yBx4SVjBBZdcCYwz4Tcs+oszJAYVyBMtnmpFJFCoQ+pp0iJlol94JDGWjEeFzmXt0V7lJxWdbdc2AJOabc0li2hU5iHNch1SqjgiEL5N/1Swbbski1OHJSGoO0bYSeHI+7Wi9RFOF4XnZulEKKrKonTRNUqjKBXuOClanMJKMRjuNhtOHg4ACBhbQswihh2vKJhhG+54KwMzoVJyBNUzASYQzDYQgIyuUy29tbnDp1klwxjxKaYThgFA0p5Irs7e6ytLiIG/iZDooAFYdopegNB6TGkEYRUkpGwxH9Xh/HsWl32gTbLo7j4Lo2jucS5HP4UYTn5xgORvT7Q2zLwfP8sdaKIRwNs+xvkWVzu66L60+y0w02GfBijMGyrXGYXmNIUUoBAj9fIEk1/f1dcARePofEZ355nrnT83xO5fnOm21W+zHSUZg0wlJZQLTk5UhGQ/ycj+0bUkvRHQ5ptmJynsfc0jL9/gg3HpHzfYQx9Dsd0BqVRowGPeJE49ancGyPbhxTLDTYWd2nUVlkamaa3rCLliBsTblcYNgfIkyKFxgcR6DilPWNNYTooU0Pg8tgYFEMTlD05wiHGc2etkJWFqbZWrtN6ijyxRqYhDAMiXQfFe+Ry08j0ISjfSxSFubr5O0T5BzwbItRf0jO8yjlAkbDAblAcP36mxw0+yyfPMHN1Zs0pmaZX1igPrVEMhphS0WaJNhCELg2pZxP4EhytouREqELFCsNUtsjNJokHZJIgbANWmXaC7YVYEx2XUvpZ+Dk5D4WkNHPvZcHHQezhcEWGbhiSUGqNLXGEj/9M7/KGy9+m93127RaB5gkpa+7eKUKX77wJDdXN9na2mJze5O5mWkWFuZx7IBYQ6wNo9SQqzZYOnWWpYVp9ne3+O53X+TCxQt86YufZ3N9lStvvsb01BTLK6cQqURqRaIiHL+AsG2UETiejVIGUpWBU0pSrZQpl5+g1dph9fY6vu8zPV0jXyiSmiyE77kZCGqMGjNGCQway5IodRcIiOMkq8QIPNJUIy1BHMV4nouQklSNK+wkCKWRItMhMphMqkoKLAlJHKLSBJNG+LbEtQQkMUoJHMtFJzGWBMcSoLNnj1FjsXNhCHIWUTwiiRPy+RzD0QhtHHw/h9FZabRRIEwGaNuOjRQ2caLQSmVAj5TIY/NhYVsZZeIkW3EydxUCCwnaIC1x9GxSOqMVk1KA0mNwW5Om4Noyo1zTYAkDOiWJRvS6XVqH+7QPDxn2Owy6bTqtQ0bDPtIopBjrw0uD79h4rosf+BTyAUEuoJDPkws8coEPwqCUQylnk/ctLBKu375CL2xRqeWpz86xtXdIrVKl1GiQ0EGnKV7Bpt3cplKdptneJQgClA7J5Vxq1Tr5IGA0ECwvXCRM9lm9s0GYdtAmJYxHHLaHaNPHpODaDrdu9vDdHEsLJxHGoVouotKIJE2olAMsOcRziuzuNLl9+yrzczPsNtdoHlpgCVrtPWqVKQK/iGMP2NneZGa6jHA9rlx7DcezmFtoUMgvoFMHYcUIa4CwBgT5MksnCiwuF0gjl0LBJQxTRmHIKGqj6JIv26xtHNCozTJVqnDY3mRjc4tz58/T6yXs7R1Qqy9z9a07aK0ZDgdUqwWE1CwvzaPSiPXVQxwvj2V5TE/PMujFHB52yXlltjf3GQwFB4e7VOs2dqHMfmubLJnDQsUuyyeWuHrzZRYXSyzMN/CkIR6N6LQ3OXVymiceP8X29j4vfO8lUu1hOTmKpWmWlm0ODtqkKmFmtkGve8CtG1c4f/Ypnn/+UTqdTa5dvkS5XCWNDdu7G8zNzBKmGyyfDLhw9nPceHODjXXN4lye+TlD+adP8rutV7DEIanSBMGIWqlEOLJ4840NkpFkenaWanmGRqNKrzdEJT6NqTrnL1ZJ0w6X3nyNX//1X+fGjW1ur60xGA05eWoJ1wdlhpQrAbl8jlIxjyGgUpliFCW8+earlEpQa0AYtdnaOCDnTuE4Nof7bWZnZuh1RzQPWzz2yFMY1smXImpTAneoidUaU9OG+qkz7G3eII48nn52nivXvkWUaIJCn5xVpFBw0SJgdXWDev2dA+IP7bNjP+53pg9uHzYA92kJ3H3MY/g4uv9x0nK8jebpQ3f0EfTxSdpHeL1+UmDTRw4EPiDA+H77/nEH6t7zUIlj7T5t1+rkOJuP8H58aJ9qm4ATjg2WhbElxhLZPymOKIvvKTwb50oLA0KTxSwVCG0QGTUCx5of29b4P3Fsu28DUB4AkjABaB8w9gd9F8fusQcFpD8IKPJh/cdH6HcedBf+2Lya+AB+/CEo8pHbBwZG+v0+N27cOPp++/ZtfvjDH1Kr1VheXuYf/+N/zL/8l/+Ss2fPcvLkSX7rt36L+fl5/tbf+lsAXLx4kV/4hV/g7//9v89/+A//gSRJ+Ef/6B/xG7/xG8zPz3+gsRSDEkFQRCLZ29/Dc2xsJFqSFYCMwQ1jNKnKMlUlWeYwRmNScXceMabVMmN6kUyYPQuliXGVSBY4zux+vY6j5VIeAxO4W7VwvM3Rutl3DWPev7sLpCWOqkUm2xFCII7VoIhx/2LSTgDSRplwTHNCBhClafbz20p0M4c4DrllwNCRO7h3vPc6yDFVzRjoyAK06i59jdbYtn0Eiggx2edsO1qlKCHwgyybbRKonwTsjM4AJSkljuVkQI+Q2bxBZ0CSNgbN3dJZozVJFGVjte3snKfpUd8TYCnsDwFQSpMkiiTVuK6Lbfvk83m0hkG3h7As+v0hcbtHLpejWCwzGo0YDIaAoNsbIqSN53lIKQhyAaNBj2Q0pFAukyvk+H/Y+7NfW5IsvRP7mZnPe977zNM9d4w5cowasrKaWVksFlmsJtUqAYKaDRENAXxQE5AAtfgH1LteCAh6EAixJZEQ2M2hxSqxyOKQlVPlEJkZ853ne+az5719+2RmevB9zj33xpAZGZGZkclYwL3nnL3dzd3NzZeZr2+t77t/+x6rq2vUFxawFmazGdksRgHHx0eAwPd9avU6eD7CWKrVKlqXwFWW5fi+TxSVGehKKobxAGthOBwhhKC5tFQCU5TtW2PwKxGFLnBEqUFwApxJx6XICoSUgMRRLlJKtNHl3TYWPwxJkxnpOMYPqwhVUp8Zk6MnQ7S0mNCjEoVUQouVisFghI+hUlGYvIsrJb5TJbUKULSqDfI8IZ4WWK2JqiH9wQHewiJF5pNOEy5fvswsmTDo91lbPwdWkqUJURQRT/tMJ4cYUycKJNZOcUXBdLRPNVqiXlVkcYaQBaHropwAk/i0GgG7u+8gA0NUXaESxKhsgIlj3HzK0tIi/dGA0G2jRIbrWiaTY/KiQCiNpyCb9BjPZtgiQUhL4SY0fBgc7/Lg5nUOH95k1N0hz3Om0xmNWgOKnO5Rj0ZrCaUC1ta3CStNTGGxhWAy7bKx0iL0Q1TdooRiNBhRjap4noMxUKn4jPIpk8kQwjraKChc8qLA9yo4KkIXoBy3fG7muIhFvGud8n7zq50//eX/Bjmn04NS22Pr3EtcOneZo71drl57h739Pc49c4XGwjrDVLG4dp6FhRWO9x7S291lsLvLxuY2i2ubCMcl0xJtDZuXznP/1tv87m/9Bm/86Ae89r1vs3Vui/MXz7Oy3OH+g4e88eaPWFpYZWPzAlIEzIYDtIKg1kH688WbVXhO+RxnaY7rKTrtBSpRk16vx6NH+4RBn42NTaKqSzrTZIWeg9wCa0saPXsGIE6zDKksYeSijQEpykqy2ZR6rTavWiupAhElUC7mlRvaGIQs6f2s0WRZhu8q6qFPxbFUXYMXOez1xtQaTfBg0D1kaWkRPxSUWE+pc5TbHM91GI/G9PtDPG+FyXjILCm4cOEchRHzqrCSXs7yWCjdVRJJCbwLa+bnXK6s5Ul1HaA50YKyp30ihKAoDI4j0NrgKVUCZRKstAg01lgcW6DjhOGwR//4iHg4ZDweMR72GfT7DPtd0niKNQWmyNBFhrQGR0lcV+G5Dp4rMUqSKMlUSSa+TxB4VCuVuZ6KS6NeRUlFJQzQiaJSCei0W1i5wmg65OhohB8uosIU6/ZI9IDQb3F+4xyv/egRtUYVaSKODw9xvIg4ntLpNGjW2kz6oDNJvdYiTTKm6ZR6IyAMFbWqj+MYBsMB1cUlCj1GOZJKFcajY1xXEIYheW5p1gOMTpjojGbT59GjOyykFUbTEVvb57Fo9vQxSjocHe0jRcZkbKmElm53F2MKPvfFlxmOj/G9Kla7jCZHHPUeUqlWmEwHKEfwe3/wBfrHGUvtZWbJLlofU6nWODwYsLK6wbBvcFzL9sUVkmt9dg92uX//IcrxmUx7HB738b0mv/3l3+S119/g0aP7eJ6gKMac314jjFzyXBNPNbu7xyVNowsr64usrm8w6E847O1Qa3YYT6bcffA6Siyyee45JkMXtCJ0K/ieQ5YNMWaA5wkWOg1Wl88TuJadew+YDlOai22cMGI6i0myKZ3FCuPpAWlWo9vbZTaLGY8f8eLzz/PGm3cYDVKyqeLG3UcsrC5z/959Hj66yle/+gXefO0NRseGWthisbmGsj6VqsPm2iI/+sENXnrpC9QWfKK2x87OkNs3M+qRR61aIQy3ebDzkP2DAQudDVaWFpmmx2xttDl/8a/xzW/9Jf1+hvIk40mfqFolSXvcufsmW5ur1Got0sSSZQnVWhN0iutLwtBgGbO0cImD5hK97pQoqDAtRujMw7gVHty5Qb2yQ73u4YczllYDwklKq2FZX2zTCFostNaRyqXWKMiLgmqtigocdnYHLK6sENWWiacW13Hf26l/ap84+yS9M521X/nX6V+2+OInLmD7S2ofuhsFp5QNH3XQCHh/nZOfRTrye53DfGH4YYJrH6rtH7fNx3vIdx3/rNn36uefnwnEXO/v53wOHzsI9qn93EwIhFIlXUEtwlYrUPEwgaIIFMYTaEdgHUqQZO6WRPkShywsKreo1CKTAhFnyDhH5AU2zzmlRHjimLwLCHniUXrPZ/YpoONpfyLE4+8+uKGnQJP3PsyPbeMD7T3AlffZ7Cdv693P1kmY9edjP6f54lN7l31oYOTVV1/ld37nd07/PuGw/bt/9+/yj//xP+Yf/IN/wHQ65e/9vb/HYDDgy1/+Mn/2Z39GcIbm6J/8k3/C3//7f5/f/d3fRUrJH/3RH/EP/+E//NAn32ouE/gRcTyjEtVI0hgxF1EXgNGa2WyGEG2EEAyGQzbXqqX+hHkMhJwEzo3WpfORJ9+XQISUJaETcJpZq5SawyZnwJH3mCCteS9A5AQoOSltO7P9/MnTxpw2JM46I1tqL4iTSdGecTjz9gsDptC4SqG1wSCwWuO4qgQW5g+9OHV2nLmOx8Gzs9Rb4ikvaow+A/4Up4DL6TrFPqbUKildNMzpsozVGBRhEGKsIc3SUjPB2hLw0BrplIAJwqBcF8fzSpH7M9Ujen4vxDz4VxQFruuChTTPmMXxKUgjhEBrS1SpIl2XyXDIZDqlUqnRXFzEUS7CWKx0KZB09w9I05RKVCMIQvYPD5jNZkRRiJIO1UaT2SwrQ8rGkOU5aZZTFJYwcDnu9qhUquR5zrjfp9AFOkvxAx+/WsEfeTQ7HTzHwUYVdm/fJfI8giBgNpvhOA5Lq2vkaQLKQbkOvcNDZklGvdFidWOTNI5L+pQ8wfM9wnYLx1ryLEUJhzRNEVJitMF1BFmSIoylUqmd0mwJ10UoiTCGyWTKNE6oeAFBEOJVI0w+w0hDYUqBZ6UUQoIuMoaDCUVYYToZ01leYDbpEgbguIJe94hqcwVH1pnNChynSjUARIEVGY5rSJIJzhxUa9Zq6CKnGjVYXFhmFmfsHx+x1qkwmz7i4qU1jB5TDav0h338EFQek/YL6vUmw94xvqpQFDBLp7hWEA+nODbg0f2HFJUBa8sOYjpAFoqt5QZ7+/dxoyYXz13h/v3bBIGDIyHPC1y3ShAGDEcDinSC50iKbEZ8PCAZ9zB6yv0bb7H/8AZoTT2M2FjeJAqrfPPbr7K5tsq9u/eotuocHfZY3WhSq7ZwhUsiNAKHl174DJXAZ9jvs7zSwos8uv0RKoLheJexllgVkhcW5bXQVuKoiNBv4vk+2likKymMOfUlP/EUOl/QlLSBgC2fJXkCYFpBbiDLPdqrF/md81sc9xOiqk9hPQpd+g9Xlln1F5bXOTra49HOPjuHfbafvUJUa1BkmpW1JfYfXuXVV7/J6PCQ7qNHKJNwdLjD9uVLXHn+WTa31rn61k1e/8H3Ob99ifVz68y0w3H/GFyPaq2K70iMLqvKAt9nMp2idUGtVmFleZVms0Wvd8zVq1dpNCI2Ns5RDV1yrTBGU2iLIyV5rglCxWxWkMxiwigqdVq0xXFhMIiJKmGpSWRAiRJHOKnYk0LMKwx5TH9oNGmaIDF4aBqhy96927iDGTtHY/ZdD12k7D64T3uhBRLiJC/1sGYpWZ6hfI/+eECW5lRqDZI0pd1eprO4QOhXEEogLRg1v2Xz/6QUuK5z6oeKvEAqhet7YKHQRamrpATalhSCUlgMCnWy6jYC35EooZlNxwwGfeLJiDSeMJ1OGPZ6dI+PGA0GZPEEnaUUeV6C3zpH5xkCgzUF1mgcQAiDLSx5arGOonDAcSSO4+C6ClN45Kkkj8dlVZznkCc1wiDk+HBGrVql1arjhj7ra8+w5Qoq1RrjaUJhh6Q6wQvLqjflQaXmc/36Dc5vbYHIGA4nGKFxXMF02icKl+n3ehx1j7ly6TJXb48IA/90fb+8tEir1qBerdDv7iFVBmpKEMFg9JAmCyil2N9/iJQuRhcstOsYmzKdDvE9j9kkIcsMneYWtZpiODqgNxigtWT73BWiaB/PL5glA7rdQx7eOwRcJtNjVldXENZn5+EOyAmb6xs0Ox5ekPJgd4dnljvs7nQZjwru3bxO93DE1naLIArZ3LrEm+/cZG09oFavk2b32d6+Qq26RJpNuHJlmzQt9XqOj/Zp1Cs0ahcxBnZ39nj1+29x6fJFoODug1u4Tki91qbSqLC6vsVx7yGzGUg5xHRvMRlEVKsLjIcjhpFDnsR0GhFKWpoNh9XlZbpHfWqhT1HzWF7pEBcZhS6Ipz0qUcSFSwuc21rl8oUtjg76XLv2Np/77CWee3ablcXzHB1YeoOcShBw5fLzHO3f486NR2ytb/PowSPSOCGbjbl79xqOL2g3FvnKV36H/f0R/UGf5mqbpWWPZ55boneQc//OdY77I4bjlPG0ACasrkle/c53eP2NlL/73/y3+H7E6mqHd66/xer6AucurHHhwmX6g30qgUeeD4nHAs/zmQy7HHYPWViqE8+OEcbnR/uvUYs2eeWLz7K7+whb1Dk+7LOf9MlTl+vXbvO5Vy5yePQQYyR5FtM9HqCTIw7MIa7I8Pwhxz1JoxWyvr7FzuFVkJbVjSXu3b+HSabUO62f1NN/ar9g+yS9M/3nZT+HgMLHEEv/hdov+/l/bHbSER8TOMIcQDjJ3Dt9f/45VQX8TMGRj7e5n/y4H5Tx9QtDRuaxGEqA5Od9Gj8u++1T+/mYUuA44CqMKzCuwrhgFRgHcCwoi1C23My1uJ5A1iSyCqJiMYHBBGA8gTkBRsRJ5YgoRR412EIgUoFNBcQueizJJy7EGmYaMSuQWQmciNwgjEHoE+rVd8cLf7yJJ3+1Zz96L3DkPdoWZ7f9gOP8VL7lp93vsb3r6XmvazqJcb77m5+Nne3jT5/vn6t9aGDkK1/5ylNVB0+aEII//uM/5o//+I/fd5t2u80//af/9MMe+l32V776u0zGMd/61jeRUlEUOaXuuDkFDNI0oxxYkslkihVlcInTCo0y0CbFXNj8MUoA8oTjUyCFRPMkEnsCapwACCfUWicggpQSa8r2xVwbA8rqBq01Qqp59n5pZcXFY22M8iDlf4JTKKOs8RCivMQTB3fSvgXplMLyeV4grC2zmtUcpLEnSS0ljQzazjODT5oq++RpXZKz9pgSbC7ua0tamifpfEo+e2OKuaC75QQYOfFjvu8jhaDQOVoXyDnFTa41rmMptKYwGSZNcdMcLwjKDGglS8oX6SARp+DLLM1LajRPMk+cpjil39GElYA0S+b0XQXVWoVas4EuDDpPwUq8aoBNC4SwZQa4X3B0dMig3+f8hfOMRkOm8YTCaqR0aTbb1Ot1FpeXePPNNzg4OMbrOezuPmJpscMoHVKpFHQWOthKhclwwOHuLq7jYLUm05rjvX1srqktrxCNp2VFpFREYchUG3wvoN/vYZTL6sYWh3u7BEHAeDTE9wOq1QghBOlkwnAWU2/U8VwPpVwcz2U8GDHsd5FC4AiFJUYpB+k6pGmGTQpynROGFfyFRVSSYZO01NuRlNUESKwwczDK0Gw0aDccBtYFY7EKvMhllo0Z9bosLa8znU7wwpDICxkOZ4RRCBKEcogqdY72DkgSixSGJJmRZTlhWCVLNUma0GzVcb0MnRiKNKEoZjgSPJOT9TIW2gs8vH4Pb11Rx0OQYHRBkU4xhcH1amwtbhCMjtmbdRkfD5DJjHol4N6da1gV0GhXsEWfIu1idQWdTZFWotMYN/BYbUl2Z0Na1TZpLJkMRyxU67Rbq7z1xg9ZXmmxvLxAXqQcHh6yu3OHra0Fzl38PFdv3GO/f4w2OY6r8D2X7v4IqQsOD/qk4xGHyQylJNVmxO1Ht/ArgsiLufdwzOUXfwud1VBOG00N16ngRgrpKIwFbTVFphGOLB//M8/okxVqZz7niVqwsjLOnIAjcz8wf5+SLhQoUgGzRCKDCBxFNgPXkaegQYFDRk5laZWL7UX2D7t8/9uvsr6+zpXL56l6DpcubDIbH9Pfvcty06ceSM5dPM+93X1u33vEyy9/ll//0m+xe3+Ht958kzt3b/HZV36dc2tNDvsJ034PWa1QqYRkmWaWJARBgOvCeJwgBHiuz8ULW8Rxyu07d3n99ddZXl5me3sbKRXTiSGLE7zAJ41T+t0u9UYD33ORlD5EF6V+Rq0WYLR93H+CEjwSBiFKZEJJibZznyoFpsgRQhD4LjpL+MY3v8tM1MjxCcKIIk9wJVid4FUiPD/Cj0KWz22RZhl//rW/4K//rb+F7/l4foB0XPwgIAirYCR6PgNIp/Tz+gTjntdWCwmO5yCtg9aaNEmpVHykLAXilRA4jsIxFq1zXAWeclCuZDoesX90wIN7t9l9eJdxv8dsMiabTRC2rETJ0oQiy/AcVfrtLCcv0rICZ15FY0uur/noKisKjTEUeXneUpV0bUqpuQC7wvoBWjsUhQNa09fH1Os1xsYwm07wQx8rNK1Fj9WVFcKwinR8skxgC4MbOkQVhy988SW+/u9fpVpfJI6npIkhKzLSbECn3WIclz5wMu3jR5ov/cZvc/P2WwwGfYwjONg7oFFrcHzUpVlv0lmsoJwprWYDV9V5/YdXcWRErdqmUV+gUWtSrdaZTIbE0xjpwHi8R7uzzmwiMDqnWg3oDzTNToPRZIxyA+49uF2CbVIx7PdwXZ9Oa5Fi5hNPJFav0Bvew7Ux09kjPvPyc/SH+xwfC3w3ZNiz3L51jO9G7O4NGX/9RxwdTllbeY4Xnvt1fvj6d9jcOo9A8O2//DobG5uMR0OWl9pcPn+FSiT53vde5bOf/SxpkmGsw+e/8FsMh32OjrpcvnKRqFrl3u37HBwf8sYbFuXAyvJ5pJqysrzArWtjer0HrK22WV6u4zkx7WbEykKdg9277D+6z9rKMi+/eI63rz5gf+cq9/b22dq+wIsvXqJWMwShwOQZ/V7M8WEfo+GHr73Gf/Hl32JnZ48b1/cYjG8jQ58o+AwXz58ncELOrV+kFlR48PAOtx9c5zPt5zneP8b1K3STjB+9fhstx0z1Gp99+QUWFzy++43vUatdYKG9giXGDw3LK0vEyYwoarC63OR73/0+nldlGsdUKnU+97kvIKTk9s0b/P7vfYWHD26z8/A2S4sLVKsNRqMJvW6ByWLWltcQRnK8s4PQXRqNLTy3yfXr+whSvvjFX+fevTsMRjt4rs+Nu3epVjq4bgthE4IgZGv1Io7MOT6+Q7VWwQrDv/v332M0LcB63LrziHeuvsXFS9vsHT2uQPjUPtn2SXpn+qnsZxFc/VWxj7Nbft79fBrk+hW7v+UL7nsmKv587aMf+KcSYn+882Nw5Onz+mW63WeDlO9F43OSxv2LvCYBwn7U6pH5mP3QOii/TDfzV9CEAN9DVCqYWoCuu+R1j7wmKSIoKhYTGUSoUUFBFOT4QYbv5wReju/nuK5FuBbl2Dm38uNhYAUYBMZICqMotCTNHbJCMZu5zKYu8cTDjhRiBHIo8PuaoK9xxjnMMkiyEhw5yaY7rRyZ22Nu/DOBhDkE8IQPmX//BHDwFHDyLpDkzH7v34k/PdrwE+/37g3tu776oPN4PKec7nc2TPuLsE9ptH4m9rFqjPy8rb7YxokCgmpIbhLMWJPnaZnRay2u6yGQGA05Zh7omj/opgQ+ytqDeTD/RKdjjkvYM+sHISXSSAzmcQWFEHNMQp4CE2eFjoUoOdyFsWW1wwl4YQyOEGUa8hnEv6SderwAOKmEOKFuYY4tnGqCPOXcThRNhFQol1K7wxjiyZRaFJb1LdaglCqrZk4wGWFO/aEQ6rQS5Gy1yNNUYGf/lRRjJfghhToVXT/dF4OZZ1iDOT1lz3dRTtnnuihQKkBT0mRpbU4jtGJ+Q7I0Lasg5scs+32e82whyzI8x0Eg8DwPIQRZlqHnNGhSShzXJfJcjDFz6hldBurcksIozTMKR+I4gnPbmxwf9TjuHhIEAYdH+2RpghCSJDG024v4vofF0ljfwrt2E4nLdJLOOcANK8uLIEBbONx5RLvdwvcbWGsZj0aMRiMazRaL5zeRjot0XZTj0O/36fX6ZGlKHMdMp1N832P34ZjpdEo6y/B8Dykl2VyTwPdCqrUqwi2BMWHhaP8AUxgWN9bx/BBmKb1ej6PeIdoaXM+j2WxQrUZoK8l7Q5Qq6bdsmiICcQqQSGvJigKTpUgbMOgPmHkV1je3GE66YHOMlWTWJzceUVRjPEkIbUg1dPA8yLSZw3uKhaUlXvvud7iyfQ4/UBze3GdlbQvpFEzjCa26w2g6IJ0MEdmMhXaT494EW0iUicgzj0ZlhWQKQSjxPIccixtU6XUHJFoS1posLC+xUoNb125g8oLZpE8QFFy4co7CwtvvfJ9Ou0kx6xEoD9fxsNIymTxAZwOaFQ+bH6GMpVF1GPaPSaY9NjbWEEIzm8Vcv3EdoQTaaPr9Y/a/9Z9YXN9CigzXMcziEePBiHg6Rugxy80K92/f4O6tm4RhQFj7IpVaHT8SdHtDwrBNPFMorwGigXQiPN9FSkh16bt83yE3toQb7ePn//GTeuq95t7hZGJ//BZhYc7JJBG2rOoSlH5qlhuUJzCi9CWBH5Bp8LyymbyAAnACgcVHuhJfCDbCGp3OEtfffpuv//mf88oXX2Kx2eCf/dm/or9zh8gaDg92mMQzvvTVP2ScaL7xje+xsrLMK198iT+88ge8/sO3+Pd//idsbV/gt77028wKl7s7+xwcGqrVBp12E8dRDPoJlaiC40CWF/R6MUHg85nPPM9gMGXn4SO+++3vcvH8edY2lkgzhbWSYa9Pu9mkWgsptEE5kryAQW9Eu91AFyegefmiYmzpx7AWK070puZA+rwvjTH4vo8Qklwbfvu3/wrPfv63MG61FHKvWHQuaLfh4MiSaU2z7XN0MOJf/st/w//mv/nfcv7iBvGsbDEtNFleoG1JrWgKi7UFjnRAcKrJVALToFSpLyLNCaAN/d6AWjUiCn2yLKXQGseRSKsxs5hHB4fs7jzizo1r7Dy6T793TMV3Ss0eVW4XTycUWQ5YXMchSXLsHHkujMGRIF13Pv7KOcacjkCDptTkcmw57+g5mJ6mKVpLrDYY7WK0C8bg+y7T6ZRESqy2NJsdKpWI4fGY73/7B6ytn8OLGrheHd+tkiUJx8ddGnWfeqvNvfuPWF1e5tGDhDBss7G+zMH+PSI/oL3Uwagacdpnd2efLDUo6bO+uoErXWbTGD0H6qfxEIvG9RLGqeSlly+x1LlI73hK7zhm7/CARnOGtRqLplaJ6Hd3iMIKuvDY3z9gFB8iHcFx74h4ZplNMsbjKfVqnSKf0m43qVQCJuOURmOB6Til3VpieaXFYLRLq7nEnTt3eP75l/nmX/wnBAEvPv8K2+erSGlYX2+xd3CI40ge3O/yne+8yWSWce/+LS5feo7f/vJXeOvt17jy7DYH+w/4//3pv+KVV36TZrPDrZt3ybKUS5eeo3c8ZXdniHQqvPXOTZaW2zzcfUSlUiWstqhWKgyGeywuBFy/+iZf+NxXSDOXO7ce0D8+xpWGSPnkFcOXfuM36PcectzbIwosn3l5laNxxvr5RZaXN3n9jdc49lJWVhbAety/c8SgHyOkZG+3h7Fe2bdtl+c/+0Ue7lxlFh+yttQmHiscGbK1vcalZ1b51re+xer6eZAVdg9G7Owcs9cd0myFPLo/5sKWpd8b8uJLz7C5+Tlqtcv0Bjnf+M53GU9HdAd7dBaXOT4+xF1qI4Rmfe0ctUaTf/kv/oRLly8SRSHf/uY3yNMJy0t1dJGyt3OflaU1fuOVL3D3wU1+85Xf5PUfXaMS9VhdrXBweIPRaMyli+d4cG+fH732bVZWFnATw1/8xdf47Bd+jRvXH3F8NODypXO0qwG3bu5gTcZsNuGHr73Diy9dQjpNBoMdoqrPw71D/EqN9XPrvPnGm++/MP7UPrUPtJ8ikParFjz/2Oxjjsj+XDPA5y999mOqlPgk2Ukw7pMQNP+I9pHBkXcBIWfv+yfcnqDg+aAg4CfgJs/BEbAfoSjoV/iZ/GU2p6wIMa7E+ALtC6RrUY5GeRa3qvDqIOuWogF5w5DXoaiAroKNDCLSqFBT8QtqfkbVTwlkQaByXGFwpEEKUybpAafv7IBBkhtJYSWZdUi1S6IdppmHSgLULECPXRgpxMhBHEmKI4XpOYiRQg4VMtHIzMyrSOyTz//7gqhP2dnvn34m3+9ZFU99/1Hsw7TxAT7jaXf4E7V9Oqec/cx+IM78scEWnwIgH8o+quf8pQZGtJ+TxjO0k1GQYp0CL1BlFjUl7Y/WBmPLIFaaaspg1hkA4yz48TRaaB+HGgVlVrA0T2xQgh8n+z9V6mnP3pozVSBCCKyjoIQnYE6BI+Sc2uYMNc5J8L8ERQwU82DdaZPzds0JTVUZFJvNEtxGG+W5VPIcM4sppjFSOWUAbU5QX1iNMWCNRghbUiUJOa8UmANHp6Upj3tKipNqF42UhhMYuezWxws5pdSclcyCKPtLCIFE4Ch1KtCe5TlSRifdSp7nCAWOJ5HKJQhCpHQBSZzGFFpjs+w0GOmqki6rKAqyPMNxnNMAnFIOQRBg0ASVsAz6xnFJG+YqlIGsyCkKTVRrMBpNcVxFUWS4vuILX/hcmYGdzgiqFfrdLgjJ7t4hR0dd+r0xB7dvM50mSCci8qo0F1vIfILvCfI8Y+f+fRbWVqh2OqXQeBJzeHhIs9Gm1elw+OABxlqm/T6u6xLHCUfHfSqVCCktrVYbaw1K5WxsbCKl4OjoiMl4yOLiIsZYckdi04R0OABgMI1ZWV7BCyLi0Zju3iG9ox7GGDbPnaO5uACuAgz5dEJRaEIvRChnztdjwBSc0ixJ8KQiE5ZpPGY0GuMuSAbjCdNZyuJih3q9Dlqw82ifSqioViu4rsBxBYPBUUlH1mjhOjUqoWJppcNkNuDFpS2iKCDJEuzEZWWjjSMSMhnw3IXP8z/+v/4R537vD7GVKmmSMeodYetNCm2p1kL8yKM76NEfjRGOQodN1jc2uXN4zPBRj88+/xzJRFJ1a+RZj2qzyltvv8GFS8+R5z08p0KR5PhehKckKSMG41soM6bZWKLfm1KNmgRelTCskqYZxs6pYXKN9D1qtQbLq5vcuXWXxXYH60i0rFNthRgTs7i4Sl73yWKB51q0KLnsvchHeJLcCoppleXO84StDVJqyGiJvf4Yq2coV5IUOVJalHLna2dRCnkDQpyEo8+Y4PS5tSflYifPsT0N/SOlLRdkZr6NkDg+oAxGZHieRdqC6TgjdCtYwPHKgHxegDaCoij1PzCCar3KV37317l7/TY/+M73MMmYnVsPcIoxlQhsZrl97R0OjxL+y//V3+F/+V/9bX709g3+9D9+k8uXtnn2M8+xubXG66/+gH/xT/4HXvrCK1x47gIa2N8fMRxO8LyQasVDSsgzAcYh9KtkacIgKwijiCtXrpBMJtx/cI9+r8vi4hKe5+M7ikoUonNTgq/WkqcJlTDAdyWZLoP8Jxg6WJQS5YuPtQhR+rUSPDdkWTaveIqoNNpYFVBtLjCKc8b5gNF4QpHO8KRlOB2hXJ+l5VXu7Whe/cEPeenzv8b2hQ0Oj1M81yUtijmY7qDNXIdKSaQQ5flYQJYZaoYS7EaCMXbuJySB4+E5DXSeMR2OcV1F5CmGwwEP7tzmrR99j6O9h0yHQ4zJcRxF3dFQZORpSiZBFzlFUeA5LtZY8nSGFXPQGotwBAZIdHo63iyP6SkBtCjnz7zQOKak0vKceaKAFGgsSZ6R5RlplhEWAdPxhE6nQxgEJLMYXykqtQpZIukfpCh/RKPp4ocurldlNoF0GuMHATdv3GB5dYlafRFXSAKnfC4ePrjDbDYi1xOULKtJi8KwvLTKZBJTpDmB71KLQsKozuKSz8HxTRAJUVglS6dMxkMG/ZhmY4EsM2hdsLq8RG4GLCw0SIqcw4N9ptMcKwoKQDouhoT1zSUmw4L4xg697oSXXnyG9fUahZmhCwfPjXDdmMHoDjmWSs0jjjUQsLL0DLPZa8wmGc3GCo7fYzC+h1aai5fWefTwLV5++bPs7u+xuLxBnrn0jgwvv7jOwwf/ji996RXObS1iteVg75i1tfMURcFgeEShc/YOjrlz94DPfvazLFaXmMRdLl66zO7uMUJ63LrzgMsXN+i0qtTCNgcHe3S7XeJpwcHOEZsrW1SCKvfu3CGZ3qfVlrz00haFBeFU6PYLZpnPD169yvb6BsrJEcqldzRlfe0SG2suP3r9h3hCcO3aI7Ki4NKVFtvn2uR5k+eeeZ4Ht4f8q3/+dd55622++tdeodUJSTPLv/k33+bKc19kY+tZjgevI8KCsLrE+Y3nuHcz4Zv/8Sb//f/5/8DXv/ED/vRPv8Vo6pBqhZUZjZbH+GjC7/6VL7O82GT3UZ/xqOAbf/Fd4nTE4sIMRwVgBYuLi4yGeywudPBdl3fefIvNc+foHhzzr//nf43AI826rK5vcP7CRX7w/as8uHdImmqef/482+cXOex63Lwp8P0q9doSB3sxF869zGycsHd4wJ1bj6jXK3zx1/6Q/ePbuFHG2tYWw/GIbn9AHI+4c/chv/nl3wa+9m5//6l9aj+hnYTe/vOyjxvI+Hibe9zuzxmI+sjX8dM18JGC/j/ZEfiJz+u0z0+eih+z38dy78VpcO2DT+2j9NN7ZEGfDYJ+4gCSp873wwRrn7CnwIUn8sTEU9t9THY2ePpRqkc+1Fj8FED5Wdhpj0qBiEJENcQ2fZJlh2TRwWvkhPWEoJ5Sr+Q0wjFROED4YD0BngDXgmcQjkU4BukYHKXxlMZVGoVBCYMUc43fs0P/zPCxCLQtuTu0Lf8VRpJ5DmnokNUc8oZDkbmkicNwENHvR0x7Huo4QHYD3F6BOyhwhzmkBULrknbg1N7DT8C7n6+nAZAnfr6PfSwLjY95tSLO/PJhmn7CdYjHz/lZ+/Rx/IXaR+3+X2pgxJiMai3CD1yCwGOEIEkylFAI4aCNJikyzDzTdTJNsFIiHAkKTgAPaS1l7ZqdT5hPUmpZo5FzXWIpJWauw3EKF9gTAXSenKNMWQUibUmBYo09rRqZ5xXMhcUFQpbHVcZipUGbomxIyrlgMGAFVpiyeVFmJVhrEXqe9A2IKOLB7Xv8P/8f/2/qrQVarQU2VtfpNBt02i38wMN3PHzPxRUWYTTCFGidYXU+z+YvDy1EmekrKBdmAovFIGwpUG8Fc9FnD8s8aAiPgSFrkEoh58FDhJmvGWRZXSIlSghMUaDTAqFL6jElJI7jYiXkRcFsPEbKCUFQwRhDLaoRx1PiLCbLc1zHRaORSpFkWUkTJRWFNiRpjhQSqSQISzKNCSoVwjBkNBqTjCaA4Lg/wHO9UnBcSopCY22G6zolzRaaPI+x4wzHgVmSsLTU5trV23z2c68gK3UWDg7pHe2T5TnjwSHVUIEoGI/HCAGj42OyyQQhBaPRgNF4TKPe4uj4mHq9Tl4UeOMpRQHKCbny7PMM+j1u377Js888iy3K+9TvD5BSMBqNWF9fJc8zut0eyU6MciSNZoMoqrB+YYV8OObg0SN0YQiDgKXlBabTKaNxn6xIcBwHiyUMA1zlYXVRcmUKwGisOaGPkxgrUIDveoSRT6PVQjWbTLMcXMUkKZCuoRL4LK9tUKSaIp9RFAlODmHgMBrExCOX0Po41uPihef5wff/E3uHXVzP4gpN1fPIp1MKMaLq50gRY7OYNElorV0m0ZZCWA66O6y1axRFRn80RjoetUYbFATViEmW0lleYmNjg8O9Q6T0UX6EE0ji2YjVlYso4XF+4xxpPKPTbBGPY7zIkswG+NKwuLhAmkxoNqoEvocpcg66R4Rhhel0iuv5pNOU4WDK0tImearpdDosLra5c+8OviOpBpLmQofReISShng2olFt015coNvtUW80aLc6JLnm/sMRUatOxVnG5C5FLvB8gfRyrDnGFQJPhmRZQX80Q7o+flSZA4xyXvlVApXzeH4JSJZ1IKfr9dMy3fkHUgjKu6tPPBMAWZbieiXFlLWaShQhTFmtYLGkcz2LKJKkeRm09zzIkpz+ELYvXGBzbZ17t95hOJ7Qf/QOWo+ZpTHHwzGN5cssLC3QT+C5F19k+dwGt269zde++Q0ubqzza7/xCpPuiDffeYcH+w+49NwzrC6vMZnkjEY9RgNJtVrD81ykUigl8f0IrQuKoqTnq9QrvPTys9y7u8u9e/cIgoCtrQ3SyZQ8T/GDgEmhyXRBEASkswwrQDkKbSzGFqWvoqRbtEajRVkVYRFYQznW0wxPSsbxhFApdF4w3DtEhS1q7UWajSr94wOsH6CUYDCccO/+fZ577jnOXdxiPAHpeeTG4rhOSc9lxWklhhQCMcfNSyCdcsIRisKC1hZXgucp0Bqd5XgCCpuS5zHHB13u3rvJ9XfeYffRQ/RsTORLHGPI8pR4kpY6JEWpSWJFqdMlRQmAa6NLGi8hyPMCi0XNRdyN0ad+39jyXO3J6Z2+382BEq1J54C+zAWFyud0ZiWlpTGGTqdDv99HLXSoVSpMp2OmsabWqOFJD0d56DRFBQVSJ8STDITBcyUXtze4ffMaGyvn8KQkz2ZUwia6JTk6Oka5BQtLLZxRAsZlOiqBoCLLuHj+IpUwQGJYWmjQOz5Ez3yqi0sMu5pud0il0iTPc6QUZJlhluQkscWakNXlzRKcb+ZkecIsC0BqihQGxxP2do8x2lKv1un3B4yn+zSbEfE05eLF8xS2D6rHJBnSihbIihmhv8iD+z0cWefKM2u8+dY7XHkxZHm9RZ5KxtOYy88+Qxg0qE0T+t0xkoDAF+w82iMKa9y6dZdzWwtsbm3zve+8ycN7ff7rv/N3+J//5J/S74/oD3Jc1+XO3bu0F0PSfMT+fpfZLOXu7V2WllaYTAx7D2+ytBgymD7EcwTPPPscVqfUWpJxckRYU/THXSZpTK0Fvd6QtbUrxEnAD167RpF59Ht9oppCOSn7h3tsboa0O3W+8jtf5vbtuxweDpGupNsf0e09QFFw8+Y9iiTkhedf5u23bzAeCaJaRJx59CdjvvPqj1jbWObCxXOEVcXu/V1u37xFs16nKOD/+n/7v/D3/t5/hyHi2vUe00RinYxaQ5InPjdu3WBh4RUe7jxEmAjPd0D61Gshw/4+a2stXFXwh3/zrxP4AVffuc757fMEgc9oUoJEFy9exq9UMLbg0aNHHB4cIqhTFDnWau4/fEBelJUxvu9Sbfg0WhHf/e53eeby81SbVaJGAyM9fvDabaoNaHgOUmvWt9YJgojbt+7yrW+9wfr68x96vfypfWql/RQBhk9c8PQnsfcIGJ4GLn9Zqzw+ofZ0du6H6Iuz2psfq50ugD+EnQYBTxbJPyYgfbr5T3Hup/v+5ODI0/bRKkl4DJB8ksZuGXD4CbZ77/Emznxv3/P6nr5vHz+wIM74mZ+6euTD+JUnxu1PcaxP7QmzgPUU1lfYyMVr+7gLPu6Kh9hwEBuKoGOptiW1hqEVpHT8CXUnwREaiUUJi8QgRJl+WMYL7btG2zxdmtN39rOf27mOMSdJjOLx9rbkd7BWoJHkRpFah5l22e/UyacaPajAkYc99jAHgmJfgi+RY4Wa5YhUlxRbZ/R632VPJXw/+d2P+f4nsvd5QH7mVRIfEhB5nybe1chpkOU/1+STX377pQZGlJUEvo+vXGIcTCExWuF5ProoQFg0OUk+IwgjJkmCzgqU45RAxtkMa6OxKDAlbZWgHNvCnqwdREmnNc/YNXPQBCi5JQsDsszytVaUgtYlHFK6stNJbl5dIeTjn6f6ICXwYeaTuRDl5ycBJistxmGu13GSzWzKwJWZP4Ia6o1FjNPg5l7C6M59dHEPB0M99KiFPgvtJssriywstGk2KzTqFSq1gFpYw1ESYW1ZeSIsWF2K2dsyDGgLUwbPhZ3jRwpt5Xx7VQJBUqKUnPPLl6dl5gsQISRCOWhtcJWDrxQ6TbCFQVkHihLEKu+AnHPRz6cGK8iSgjTuz4EaSSWsUIkqTKYTjLWkaYbj+mW2bmHQllKA3AiMLnB9p5ya8oIoqFAIwaA3oF5rMRwOeXR/BzcISGcJUaWGsAWz2ZgocqlXS2F033NRTsh4PEObgn7/mGRvj+PjPaq1Oo6jSNMCzwsRJmdrawulBLNZjEEzHIyYzWa02m2cwKfRqKMLTT6ZUms0CSs1huOESS7Y2z/CdUMmkxlaF8SzhMVKG1cJqtUKo/GYLJsR1ULaC83TsTqZxNhRjO/7VKMIJ4wY9fukyYy1tVX6/R5ZOkPgIqXCGoPjALYAnfB4uhZYLbBWIpWDxKALTRj4VOoRY3IqzSpVqhweHtLt9tDVBq7rIKVlMhlRr0cYDY7jsrqyzGiUEEmL0hqE5LnnX+T7r36PzeU1lpp1itzgBg6FzphNd4iF4sWLaxTTPpgJxoAxMTofEAUBw/6IIocsM4S+RAmLZxwcRyGyjOlwUmojVAKk79FuLRJPR/iui8kFOhM0qk2UFMySIa32InJqKKaaPBT4XpNRf8TDwR7xJCYIKiipqFRqSOESBS66EExGE7I0QynBgwf3cBxFEs/oHu7iuQ5H+8csLC4TT8ak9Tp5DvVGG9d1yZOC0WiEdWF3cMDqpVcYHKQoYYj8jMnsIeiMStQgHroIp0bNDZCBh6bAGoFUav7cqFNqPHsK9s4n6DlIe+q75u7P6vkkLso27Ny/eTJA6lJLpPSTpasxpbsqA/hCkBflsk4BJrc4joMUMIgLXOVy6TOfpbN+gYfvfJe9G6+yt7fPc9sbfPUP/hqptVgpmU4LAr/OZz/zCuPBEXsP73J42GVzaY3PffHzHB7tcevtt9i5/5Ct7W3WV5fJchj0x2SpJAx9lB9ilSSIHLJcoa1hnKYErsvCyjKtTptRf8CdG7fY3FinXg8II5/pLMOzEteTpEWKkC5ZAgW6pEs0aq6tZBHSUgiNdF2EcAmkBC1AC4oiI8kF2diwsfwMm+cuU7gRibZM84JKc4Fmp0ORjHjn7ftcvnCRS5e26E9SMmFxfH9O8WgxhS5pDyUIqUgzjRES15HlQnle3VNqM5lyrjIaU1h0MkPqjFk643DvETsP7nDn9nWODnaZxVMkBkVBPtNoXWC0Bjv3l0KALechIcGgywoWa9G61MGCcjurS4DsNLgx19QqHZGdJxTM0wCsxVCC4WIOgEBZMZJnJbgvBcRxjCk0fuAznowwOifwXCqVkNlsxtHhPisrK1RrEY5JIc3IxmOCwCdLshJQyqcIO8FzAybjEijwPcPySsjOzn12H/UQQuAQEgUe289sMRoNaNQW2d99xEpngXEPPNbxVUT3QOM6DbQp5/esyDHW0Gq1qVarSLNP7zhhYaXO0fEDEAWjcZ9klrC8tE7ktHFMlfWlCrt7O1y+so0fOMTxGNeR5Pk+r73+Iyo1iR8WrG21OHd+jZvX98njOr3ukMvPXMD3HfywxmiyA0oxncDKUpNHe7cZDe7wwvMvE8QhyWxGGHi89cYPcaXAlT61agfHSXju+ed54we3ee2Hb9BuNlld36QSTSjWFLnRvHP1NYLQZbGzjOdVqNcsjWqHnYeHTKd9jnqP+KP/9X9Blk5Z6VxkMhmxuOizstRiNumz2HmG73z3a1y9dYvlxXN893vXSYoqd+71OL/9PMZqEPD8i8/SG/Q5d2GReDZjf/+IRitkb3fEdDbl4ChlY6vO5sYqw5Hh+lu3CJ0lnrnyefb3E/aO9tjdm5Fqw/pWnc+/cpnx+IiFDrz8zBfZubfPaNjjr/7+5xhM9rh683tcuPQiBwcz5NDSHR4j6xUuXtxmMBjyYGeXhZUOvlPh4a6HEJJLF1aAJo6Tc//eTf7tv9ujEtbZebTH9vY2zz53mb/xB1/lz//Dv6W9FNFsNbl99xZBmFEYgedomu0qea453u+iTUZhNOPJgJW1KmnWwBN17j+6wWDYpygcrlz5DP3+mOW1BQ671/BMyige4rtVxqOCeBJw7Z2jn3LV/Kl9ah/WPo20fWq/ZHYCivyKD92PDCo9TaHziwRIfhF0MSdUY+8XvvxpwLVfqJ2++P2iT+SX2qwjyJcisvUaZiMkWo9pr4+pL6S4dY1bK3DDAs/P8fwCX+WEKsOXxWMqLPEYBBHi5L3o8Wh6DJWc/H1ij8fiWbkZc2bbs+w25au6QMuSaqsqFWE1Y9EbMw5DJvWQ6XLEdCVguhIwOgxQh4bgWOP1C+SsQKQZIn9SQ/k0iPC+of0f87x+qOf5Y3z2f9G0U4I52A3M0xrfq6jkU/vk2i81MOJIB0dIPMeZc56XwXRjQJuyWiFLTUmnZQxZbshzgeeHmLygKLIya1WW3OxoU4qzc0K1NS9vwwL6JFZf4immDBxZbUrRcSi3m2tXSBzEiXC5FWDkXBtk/k9IEHLu4M7Qe1lKSq1TknZx+qAJAVJIhCyfsjL2VCDsXGxcl2BGI1yk1TxHInL8eog2EpMmmHTGYDKjOxjx9o1jLBrPlVRCh0ro0GpUWGi3aLVb1Bo1mvUa7XpELfIJfYXvSkRowRZYnWHznELnYHSpSWEKFBKJQdq5vojRGK1xlEQ5TlmBYAxIh0QUOK5LlqYks2R+7wzKlfOuLCtMTvjzHelgtaHIbBl0zs1cc6R0P1KW2iKO4+B5PlIWwBzDUU5ZGZMVpGaKsZas0FipqFbqOL5HEGmG/SHK8UnTAsSMahhSrTURFExHI6wQ5LlGSJfFpRXu3tvj8OiI7e2LDEZjtDG0O23WNtZo1Kv0dnfodXv4gUdR5LieSxRELC6ukCQJUkoe3bvPwuISruejxzPCqE4yK3h4+y5xnLDQaTGZTCh0zmw6JZvFNJs16vUaoEnSCcpRzJKEWTyjUqmQ5xmOdHGUIkszRsMRAEEYkOelJonnufNhqHAcD2EgTWIsBscvQSqry0xwbcr76zjlpKOUxHEkWZ6SjCX1WsDS4iLTyZjZdEI8KWg26jSbdVxXIinp3aLIxfctaZIitabRCvC0zySe4YcRaVFQCZsUdorr+oz7MzLPp1Zv0j86or40QFgYHD3CFGMIF4ikIh5lGKPRGVT8CKUts2LGNE6YjGMWmi2kFMxmI4bjGabIMAb6vSM8BYudVWbTMfVGKaAcT44JPQdbaHKrKfKUPJsxnY1ZXVvDWEMcT2nUG9y9f4tKpUK9VkUIQ1HkSJlQrdcYjicoY5DkLC00AUutWsMawdFRD4kgiRNGgwFhFKDMlDQ7wlVDHMYU8YTD7lWE6ON7HpO4jlJrGKNQkY/jyrm2iZivB56cgUudn5O/7GONtZP/n1j4iDP7ccbH8LiS7GQ3cXZ/TivKTo9kbamN4ThkecHxwOCHNZ7/4m9z7vx5Hjy4T2YkibUMRgP8Sg1PgTWCLLa0mqu06qsMBkeMh0fs7UxoN2o8+0yT0WjEvRvXeXDzFlvnN9jeukCmDb1BxniWgBR4JsB1ZAnQIUmmU9JkRrUSsbm5wdLSIv1el4d7Y6TTI6pUWFxuI4SLMj55bnGUIHA8LBqjmQOEBiPmFFICTKEBRblBgcBSqVTpjWImk5hGrhnHU6zvYYXG8RyOB12uvvYO21sbnD+/xWSqUY6LnPeg1qUvE1LNE9okRSHwAkWWPb4NSpadbwqLi8FqQzId40lLNh1ztPOA+7dv8ujeLbrH+6TJBCUMtsgpirwEyUR5TScv1qfgz2n1R/HEWDrRjjq5x6eUWZY5ldccNJnrdeVZuf/pfmquySVEWXlpbDmnCYGUZSVKURRgLJ7nYazGUQqBQeucSqWCoxS9XheModkq9S8W2g3yIscSIJXENBvcvnWDTrtFFAYYU+D7Ia4vCcMao1EPz1PUohqOI9l9tMezz16m3W5zfHAM+Ay6CYoa8dQQBDWU9HADF0e5xPGUSiWiKAoOD4+wFsajKVEtwBjJeDKmKHJWl1dpt5dRYkIlqrK6usJo1EM5BtcVdDodhsMhlWoTi8b3DUaMWFxewBBz4dIKf/ovf8RkrPncF17gB6++ztraBovLdW7euMN4InCdVToLqyTxLrs7+8zimNlsyhc+/1m2L5zj8GiHJMl4++2bJNkMz/FxXBiPj2kt1jg+OqB7nCBVSGEN25sX6A+7mLzUCgt8l/XVDWyxBzohDH127vQYDybcylMGgx6ubJLO+jQbioXlDbYvnKPIpyytrnBwsEPotWj0NeNhymzqsrdzwNH+m0wm8MPv3+D8hXVq1QDPCZmMUzbWl/n+D76D4/qMpzHxWDOdhKxd3iSOE+IkA0fj+Yrzq4v82q8/T71mkGZGNhvgOBW8QLPVWmUwGvLsc8+xvX2Z61d7CJnhupKL58+R6gkb65v4fsTR0QEHB4ec2zzHF774OWrVCF3EzJIZzz27jedJ2p02WVKwu9vl+o1bDMZ9vvDKZzi3fYE4ThBiAgSkiWF1dR1TaGrVOof7+zhK0WwukOmE6WRAnAyoVHx0qsi1JtMZ6xurtBcrHPeO8AKPi5eeI837DIaH7DzogvFpN9b44atv8al9aj8X+5V7qf+Vu6BP7V32qw+KnLWPrkMCnxg9lo9Li+An7o8PON5pef0vulM+pH3SqoA+ySYEOArrSKwnMD6YqkRse/iXXdyLgtZaxvLakE5jTNVJqThl0qKYxwgl9lQf5Mm2TwAQThOcS9f0uPrj8fcfPO7tU9s88eo+d3cGgZGSikpY8BSz0GVQrTBoR/SbFVSzjl2oYNoOek+RHUrUUCLHAhlrRGGQhSnjj0+fztPD6YNO9xcGTvz44/5cnorT+zJPCnzq40/tk22/1MCImgua+74PPKbhOBH99lyXmbWlHoWFPNdMpgWBXykrQ8QJyjHncBdgxYk47FyIWMyFp0UJmmBLTncrSgDjJOBjjC3pR4xBW401Fss8sDX3iHIOgJwkITwWT3/s3U70N5DuyY6PabqQj4OSokzbllac8twDiNTgBSEmE4x7MSIMQTg4VAn8Ck5oSzHlogSGrM1Ji4zpMGF/MIR7vXKeEKAcSeS71GohrWaNZr1CZ6HB4kKHpYUWzXqHMAJX5iAstpjzFiYJ2RywUAIcIUo6MVNqv8hCk+cai4OVpVBxbjTWc8uU4bmLt1gkAqlAOQJHSoyrCLyIvMjwpU8Y+oAo+9yWAvCj8Ygiz6nV6uR5QTyNSdOUyHdxPQ8pS50V4YGjPDzfJys0jUYLQamx0moHJLMZkzjG7htmcUwYBsTpDOU6BBVFuFCjVm/R7Q9oLiwQHhyxv7/H2voanutztLtP9/AIISTNhcWyj7TGdx1yY8iynDffeAvXdQmDCr1+nyTJmY6nVKotWs0W3eN9jo5yWq0GeZZQrYQEvs9sNsNxFJPxkCSZIC34QUAQBFQqFYqiIPACHN8nF4J8PGZ5eRnH8ynSlGSWIqUkjHxms4Qi14RBpQRnjMbkRVkBxDwASkmjJoUDVmOsxvNdXFyGkxkOlmo1IvI9QsdlNp0wHA5oNZtI6dA77mKsxdgQ1/NR0mMynSJwuPrOO/heBcevkWqJJwRSBcxmgmTmMvEkbrRAVMyoK0tuDWYyJGwHZA6keYpTEUjrowqPWrVFWFHceXCL8WTCytoaji4wRYrOhxjl4CjDLJnQbAokmiw/xnUNjiOJJzHtVoiwJW1dUWRYnbK01KbRrKFtThhVqVZbdI+7FHpGpdJkOu1R6Ix4NkJKTVRbp1ZTZDrnzu3rDEYpS0tbtFsrZImmUWty/Z23sUXC5voy1UbE2kqdg96Q3t47mDjhzu3XOTi8iuNntFvrrG1+hsWlDoPER0UhuZQUWKQSp9VtJxlQ5aLtZNFleFy49u4cFc4AKI/fk8pf5rVtZ2WSTim4TnyXPfuFtag5/Z8xBtctgWttIMbDWbzAhc42w2Gf4+4x/ftv0W7V2dzYIvDq+I5DkQhyLeh0lqg3FtBmQq/b5aDbI3IV57fWSWdTHt66xY13rnLp+RfYPH+JSWoYTXRJcRTPiHyfQCk8qai2WlgsudbgSDprS4Bmb/+Y/W6XaTqj2ejQ6VSRQpBmljzLkErgKBdEWQUnHYmWGiMlKEkkBHlsweRgDVlqSOKcWZyWFX3KITM5fqQ4PDrg7Tff4vK5iyyurDIcaZKsQHgSqxQmz9C5Bs/FccpKt5MCHyEErncCgJczibAGiqwcw3GMSGccHO5x9+Y17t++wXTYJ54MkWhcYSmKnDxN5lRXj+/fyYt16UN1CV7AaTXI6d8nE5p9jyzF+WePgZPy/pdtmtM2xHw+MBikEEhZajy5sqwQtMaWGlNCoFQJlhujKTAkSQLANI6ZjqfE8Yzl5WUarSbKcRiPx3iex8bGJpPxBICoUqFSCVCOZDDosbi4yPHxHqsrm/T7h8TxDN91uH7tGktLi1y5fIVH9/aYjEsAOgg8PN/FcVwc5VHkuqRcSzMGwyGNRoPLV85z4/YNwrCGtpp2u0G/d4Dr+jx8+IDpJGFpcYX+wEHInG5vDyElgR+yubnF7VtjhHAxNkUpj8FwynRvRLO+QmepgnQmNNsOy6stXnvtDb761d+k2dzgpZcuc3Q05nC/x4MHu1SjiMWFJTqdRbq9Pq7nI5SgNxgyHo+p1Sp4bkYQCkaTfZbWz+F7HsbMMFqT5zmeL3nx2efpHg2p1+tMJgNuXHsDz/VYaISk8ZDD+30kIZ32Ir2kx1s/uM3CSs5vfOkKhwd7jEcT/MBlZ/cIP4yYTjMW24scH2iO90cIG/LG9++zuNhmudNhqb3Brduv8aB7j89/9kskswypLbPYRwVLjCczur1jZm/cYaFTISuGbK0usnXhWfb375GMu8T9AS++sMloOOPg8BHHvZQgMIRhjX7f0utexw8WSLIRsxQ6i1tU3AX+3b/9c2r1Kl985YtYYzg83OPc9gUm0xl/8bX/RKMR8Morr3Dz9j1cP+dg/5DWwjKtZgsvcLh//4i9/Uf4fkAQ5Ozv7zNLUi5eusD66hrXr11jNBiwvr7CYmedzlIb13f51ne+xeHRIa5Yoig057fPU6nW6XaP+et/4/f4kz/51ywt1/ADSRI7KFkDFEvLHTzPA/6ST+1T+/D2ZLXoz8x+0fHEdx3/TIrtz+R4H3Mw8hfdfz+1/YJP+ud2+E8W+PLRh5944kdpH+IaTyO1H7DPjwuYfpygyBNVMIKfhK7sPRrjo93k+f4fpZmTDHT4iOfyqb2XWVdBrYKthxRLDuka6DXDwlrK6voRi8sz6tWYWi0m8lN8UeAJjZzHDs/CG09AHGeGsrVnABBxlhLrzOf2DIDytInHwMjZqhE7P7448z3C4FiwFLiiwJOamjujrSYsBWMmrZBep0J3ucbkKIBjF9V1cXoWZ1TgTnJUWtJriblDKcMK5SAWn9gqKvGuRY0989UvxE6rR+wTbvFTgOS97QPvl33/r562j+q1f6mBETHX+SiFuSWu686BkTKUp5zy8nJdIKQkLzR37z0kmTQQEqLIx3FK5n2pBK5Sj6s8KIETJeRJycFpUKgsaStTZC2qBEesKedfWQqqiznlljYarTVYges6KDWvJJECKDjV5jhzJ8XjlOx3rXROXedJdocQnBa1KKBIsSrBkSmj/h5mlpBpWVbWKInrKFzPRzoujufiuyECTWFzcpORFzknh8iKnCQ19GcZd3b30UWG0WXVQCWKqNcrNCs+qwtVVpcXWF1ZYnWpQ73SxK9J8B1EnmCmI7ROsbYgSWcUeYp1IlyniuNHaIYkWYYRlAEo5ZAkObpUbUcIDUaVPylBlVznOK6L53vkeU6Ra9I0BRSdTps8zcsgj+fhtzwO9g+QQpBkObV6HWFLEE2j0caSpBlISXNxiWQyxRhQ0qFSr5OPY4oMmu0lIp2T6pybN27i7Xa5cf0Wv/brv4lTa4CUHHV7bMwS7t69g4dgbW2Tw4MDuoeHjEcjXM9FKUmaZbTbHRZaHaazGd1uH2sszUaLeq2BMeW4SOKEZr2D5yr8Zp1KGJKmCY4T4SiF6ziIICJLc5rNFlElRCDpLC6RxTOODw8Iwohms0lRFMxmCb7rEkURaZqg8fGiCJ1kFHmGkiU1D/NKEmEpaebmwU2rDCiD6yg8xyESDq4XMR1P2Ll/n3NbmygXArdONQ948PAR00nM0tIyrXYbYwyO6+A4kqbnM52MGA56fOGLrwA+40lGRUmMdkhTh2brPI7SGJ2Qm4fUvIKdnQMGu10W1l5i/zClUY/wfJ90KijwGE4ts3SIp+DihStkeYYrNcpzkES0mnX6vUPatRrntzf50Y9eZWWhzWTUZzqeEgU+uUkYjcdcOHeRXq/HZDLGzXO0BS9waEcVhuMhXuDz3PPP4wcOx4eaw8M+jXrE1rkl7t6/y8NHh0hVYZYKpKozncTUKwUCh0a9hZKKarNJGARMJ0Ma9RqRmzA4vM6t67e4e+dtti8ug+OzvXEJJ1jCcTs4xsPIEOmAoHgMtJ5qHZm5H7NP+oun7QT8kE+6nDPu5bQE+MRB2afbsk/+IuRjqqQyuC3QugShC6UYZQKrDZXmMhc6bfJkzN2b7/D1r/0Zn3nxC1y4cIU4EVQiSA0oV4CJWN6osrC0xOCox6PdBzjScOnZZymKghs3bvDGa6/x61/6bbZW14hnFmME/UHCcDym1qjjSAUCjLDkukAiybKcZrvNyvIig+MBD27d5uiRw/LyMmubi8S5S5aX16UcAVaVGh9zXamSzspSFBmFzqi6DlFYJ9sfkCQJ1SgEI4lCOOoP+OEbP+SvfPlLNCpN0riEfz3fJTOWdJbgB25JTZbl6EJhjCUrcqRwKCaWKPLRRU7ouQircaVB6BnZdMSo26V3tM87b77G8cEeSTwCnWOLGcYairykf1JzoEMbjTlzT40pSvF2o8tKstN5UGAoKyGxJVB2AvY/5qS1p+BNaWZe6acegyPWYHV5zUopXCVPEwtOXhaMmYMlSp1+VxSGTAmUERTFjDwvAEEsZ8RJynGvR6VaYWtri3qjztHREUjJ0tIi48GAdqfN/uEek/EIKSyLSx02NjZoNBtIqRkP+8ymEx7s7ZRl8IXEd6v4rQoWjZQeRV722yxNSNOM0WhMEAS4bqnLM43HhEFImpSJF+PJIY1mGyEt2VGP6WzCce+A/ugAoQyWgsl4Sp7NuHptRKEFlapHWkxYWVzCcRzWVza5e3sH321Tr9bZuR9zvJ8w7OVce2eHc+c3uX93jzjWXLt6h2olpL3YYWtri+FwxO7uHv/13/kj/tn/dAeBYHVlk2otYnf3PnmRsL6+UVYLYTFFCkCjHmFtSjobsbG+QJYlhIHPwBuwvtJmdNhH5QWbK1X8wKdS0bTbmxweCurtjK2N84wnMbPYZWP9OX746lXu3jpicfEyi4sdstkhi4shN2+8xblzHSaTPm++vkOaHFGrSTq1FkutFv/jv//nHO8e4k4j9IFH4Hbo9RSqVWUWwjTpIWSNzc1LFIlmNhTcvnWfyDX82q9tc+v2X1JrLDMYpHz9m6/z21/+Cteuv8OVZyWFiVnf2CTLZyy11lhZWmZ1dYne0RHWarI8oT8YoHPJ1tZlvvudb/CP/tH/h89/4SVmiaE3iDEaEDPyXsGVKxfRNuCdN9/gS1/6TVynyiydMZtlpGnK888/x9H+DlvnNmg0qvS6x+zs7+EoxcWL55lNJa1Oja2tbb7+tVcZ9BMq4SL37z1keeUz1KpNuodjxoMJjUaV6bTUbfnUPrVPtp281/wCgyg/78zVjxUceXeg59R+BbPBPz4c6GNo5Sdp4mO7BR/feDlhT/ipmjyJ5r6XHsePG29PPGfvs88HPosfMNZ/Gnv6OTwNUMKHBrQ+CjAh5vEcC/anAmZOG2HeyIc/h0/tSRMCKwXGV1hPIuoezmKAWg5wNyXqgoGtnKV2zPnGMRvVAY7SuEKjpJlTZZ1Q5J+mOpdNA4+hjsdmxVlQQ5y2MP/29NY+vad94vfHVWFPK5WcACMnbUlRJiY60uALTVUlNNWMNJgQ1z2q9Tq0CuxinfzYxx652COJPnbgWKAnBpUaRGoQpmxTzAMD5bvvh5nnzsY3P86x+xP6jKdRqvf482dqTxz/kwWmfyLtve7XyUf2bDrn+9tH7eJfamDEGIsjFWEQIBA4rosuNFqbeZY7MA9+ndAB9XsDhE6YTIe4rkLKksIjCIIyWOP6BJ6P57m4rsJxS+HuwPdKyi0pQZT8+UKosgpEKIQ0nPBVyrlIiTUa6Vi0LTBFQa4NVhqUUEir4OQWn9Btnb2d9uSzOS4s5Jlny4LVnAamhC1LXiRYm4OT02x7ZEWfNNZYEZADKaUAs0aijQCl8H0Hz1EIJVGug+eVFRRSKkRhsKYMhAVCzi+vpApK85yDvmb/eMhb1x6CyTE6I/AcOu06q0sdVpZbnN/e4PzWGvV6myDyqNYi7GxGf/+YLJFIN8QIl2lSlJz60kGIkkZFFhrhCKzVWDTaFKXwsSnIsoTRZIznlUH+KIowxuD7IbooSJIEIfJSt0Eb0iQlCAIQkvE0oVavIpVHXhTcu3WLZ557HuH52KzA8zwmk5jZbEYcz9jY2MZoGI8nVCoRg8mQSxcu4bg+B3tHPHz4iHZniaWlFdL0Ve7du88Lzz/H3WvXuH/nLuPxiCtXLrO8tIQ2mkJrlHKwxrC5uck771yl2WgipSRNcow21GpN7t65S6VSYfvcOdJsSpJO0aag2WwyHo4YDoY0GzWSZIYQ4Hk+o9GQVmeJIk05OjqkWq3RbrcRvs/x/j42y6lXqzieg+s6ZXa4klglydIUx3HAEUgrUZQgiZBzqiYpMCanyDOyIiZLU4yoEwQOnUaD/V3D/bu3uXLxAnE8IU0zljtt0nodbQV7e3usb2xR6IzczIg8wd3b73BufZlKEDKZCbyoilFzeiCngrKSWTKm02pzuHefJB2y2K7QqkQsNFbYH3eJnCqT0RjlVJEqYJrE7O0/4plLa3QHPRqNOkILJqNS20VaS7O+wFKnzfWrVzk+GFANK2ByHOUy6PexFKysLDEcDBDCYX1ti95whC0MUaXBaJoyHs3QxrCxXmc6meH5FSyKg8NjajWX7e0tjo6H3Lv3iMWV81SqVRYXFvD9gCw1KCHptDtIkZPlOcpqjg8PMBjGs30mw32eu7zF2rllUiPQBGgTkNoAo/wSCJUgUQgrnszumP92Mse8b6n9mcD2iWspNVwMgnKBdUKb9Xh/ewre2pP2579YSrCgsAalFEqBLizTaVx6Oz/CCwRYieuAMZIgDHn5My/hOZb7D64TBApjFH4Y4UcRru+Q54Ys95DSZ2V7g8WNZQ52Dnn92jVCV3Lp0mXiyZjvf/1rIB1+80tfZuv8KjpVhGGDtMgZjPsEUQXH8wgqHkpZhoMcYTQyCFlottlcWmDYG/Bod4/d/T02L56j0WqQJpYiB1eWlTiuUOX1K4ErYWY1xhSg4PjoGEd5hGFAkk4J6jUeHh7zze99l7/++38VpXzGcY7CRXkKx4GKgjyrEE/HSKkIwhCtLUYIGr6HtoLpxOAqAYVA5ykmS4iTMSKfEveOuXb1be7evkGWTMhmU4o0JktijCkIPa8s/abUezJaY6wptWKsndNpmdMxYeH0b3Pmd+UoMCWFJNgzVG0nyQKlaa3nTYn5XD2HYIRBmDlohioTBDS4CHDl42NqTWYtrusipZzrRZXnr4sSqJWyBJgn0yn9wZCDgwPanQ7NVpN4NmMWx8TTCV7oI6Ugnsb4voPWmqOjY1xHYbSm1WzRqFXp9Y5Z7HTwXZ98ZtjePs/e/iPiacr6+gpCwI0bNwBBGIYIIciylLW1Ffr9HuPxiLXNbfrDYzY2z9Ht7ZIkU85fOMdoOGE4GuC6Jc1WpVrh0uVtJuOE7373+zzz3Asgcny3SZ4p9h7FLC/WaFa3uX3tKlubFzk66jEeCtZWz4MVfP0bf0G9vspCZ5MkMVSrDr7vcefubW7euMX9e7dwvILf+epX+NrXvoHnRSjl4fkhrXodawyTyYyVpQ1G/ZzhYMz6WpuFTp2D/X12HtziuHtApSr4zS+/SODDemeZ73z9NkrV+MIrX+DoqMtooFlceI6wqnl4/4jVtXNYU+He7T6L7UtEL1zihz+8xptv3GF9Y4X/03//v+c//sWf0G7VadZbvPrq93E9ycb6Mg8e3CMMNP+7//aP+NZffoe7+wU/eOsIGXoIo7l98yZZFnDxSpN2u8nBQRfXafLOmzc4Okz4L//WC4StJVqL90myJuub23j+Kv3BjHp9iX6/jx84rG8scf/eMVIqLl28zH/8T/+OZqvOc89fYRIPybOMwG+S5hDVFhlPCq7ffEi1FpCk5TzRDBpU/QBjI6RKCcMOWa7wwzr1RpvdvQe8/c41/sbv/1WWFltcfectimKZew/u40chd+8+5MWX23QWm9y985BvfvNbVKI1qkGVt9+6xZUrL/Daj96g02nTPe7SalZZX1/hnXfeJKoE7/bln9qn9hPZp/mKP1P7ceDIxwGefJKpcn7K0/rIV3M28PYJ7Zon7OR8P+ZzFU+txT58A2f8w2mfflBAXrzHfvbJMfp0OfrPyt7rNE8rSE7O7ado9KcGNc42IT4COHL2PD4FR35qk6Wmr41ciqWIbDnEWVVEaxmt9THRcorfSQhaKa1wSsefUvFSFKakiJ9XZ5R2AnO8205Akye2sO8WXj+zw3yI2ZO9n2q73NOeNnUmPCyefELt3AM8ZjjWOICjDJ4sCFSOIzShk7EcjZnUQuKFkHg1YHrkEx/52K7E7xncvkElGplrKEqB0ccJgfP3/h8HgIozPz9w2H7Icf1hQJFPwpLnzOW9+/5+asAH368zg/z9+u/j8oq/1MAIwuA4zimVllKKPMtPnZE2BiEFWZZjrcAYTRA6dBbqRGGZwZympS7DOE1J0wKlXFzlzTNWBVKVwIkf+jiOg+u6JXjgefi+j+u6Z45fOl0xz3hVDug8hqLACosVEmMFptBIUQbHpSzBj/kFccK9dSpwW0Y+y00EpdMx8yCWACHnrIZCl8HPooBixsbGChsbq8xEjdQo0jilyHJ0niMQSCUprGUyixG21EmRwkWIecWLlIS+TxiGuMpBiDKArhyJcj08NQ+UihBdLStwhDWks5jdccyjwS76rXvk2TcRtqDTarC2tsTy0iLnNjbY2FinVa8h3QqFUUziFItCOA55mmLnwTNpS3UDR0g810VJl7RI8COfMMuYzWZMpxPiOC5BgVabRr0119koWFlZwWjLYDBgMJqwtr5Ov9en2+3TaLU4OD4iiEKsFYhco4UkbC8wyw9xtKHVaGCKHK01+/t7SFcR1SpoXVDrdHj5pZe5d/8BO48esbc3F+f2fd56620qrsPy8hIvvPA8QgjSrBRQb9TrTCYTojDkzp3bRFFA9+iAMIowRqKUw80bt7hy5TwrqwscHx/RalVQWPIs4XAyBmAyHZFnCc1mc06rNSbJZqTpQ7rdLssLK+iiYNDt4bouzUqVwi/K7O2iYDKZUq3VMNogKPVZlOtiKKl0rFRYW1beYB0c6SGMRQmBqySmyBlPhyR6gudI2o06jcoGt25ex3UU7VabqFZnOkvRBiqVKvv7e4TVgHrV5f7dG4x7h2w8+wLj/gC3ukiuBXGaE7mKmtfAzCSJ0UTNJoXr8urVd1hqVNk410BkI1puxOhwhnRcciel0CmtlTZ50cJah1ogGR/vorVmOBxxdHTEytIylbDFzesPMTqgyFwO9oecP7eGtSm5HtNpLdDvjdl/eMT2hUsMewOqjQ5BVKU/SoiTnM3NK8xmCY8eHVHolHo1JAo7nNu6gGXCg/uHvPD854jjN/j2X36PSrTAb/xGwNZWhSCocHCwy40b16hVAi6c3yR0fQ4HA5qtJovLq7QaTXIzJbMZhCF7kxGdukvqK7QuKeaKvKT1O6VW4ow7mS+05Nk8Fnt2CVW+QBnOvP/MFzmnYuuc6JI8nnKkPCkePtGXsKdzmTh5IRKU9EdF6ccqtQglBFaCkGWbRV6UgtteQBynfObzv8aPfvhdvvfq1/iD3/89GnWf3vEx2dSyvrnFMLPMNExig8Fj9dwGF59Z4+71HtevvknoGJ5/5hnieMx/+Df/knqzzjMvvsTFF59HugG9fkocp3SP+tRqLcbjCZEfUql4BK5CZxnTaUq90eDFTpPucMjt23cQSnF++zyL7Qo6l6QJaKHnVV0K4ZX9aSiQSuF5HsV4hnIE9VrInd19Xn/7Gn/tr/4eQgbowhIEProAR8Es1mAKFpsu+w92UEpR39hEuh5pVmByibWKwC81mzp1jyLLMVJx1B2yd/cGt955k37/kCyJmcVjJpMBSoLrKuI4YRyX4iTKcbFGoLUBVfpWM59PTkAOKcu58qQyqKTAKoEIx3HAaDQnuiQnCQGPx461Fq31E0BcCYxY9Hz0FUWB1pI8z3GVg1YaawyOFAjHoTCGIs0IzFzcXZ9MfwI7B0aEEGitMUWBsRohJdM33iLLMqr1Go4StNtNrl1/h06nzaVLF2kttHn44BGOKue6tdUNDvZ3ydKUF597HqsND3YfYHVIUVi2zq1zfHzE3bsPqNWq1OutkqYwCCiKnEajwe3bt1ldW6FSrSKlQOc5O48ekesYITQPHj4kLwranRb3798kz6YYm+G6LvEkpVat0+l06HaPuXf3EZ4X0OsO+bOHr+Iol4sXL9MfTHntR28xGAy5dHmDWkvybHONl174Kt/65jvE04yXfudlnnlmlX/9//3XdHuHhJFPHI+5/+A2ypEcHfcYj4doHfO3//AP2Hn0iMODR8RRTBKPuLC9Rpr08dwaL75whbffepPPf/4zLK1WGU7u8eDBHS5vXea3v/oZbt+5xuFxB9eLuHHrFt1DTVRxuPL8Ont7b/HsMy9x9+4hBgfH05w73+Swd5O1rUsYOWNxucHde9dJiga//uWLKGXZ3FhHyCMOjl9Dyow//K+eY+/IIt0f8pfffJWF9gYvv7DBxlaHB4+uc+/uHlluGA819x7u4Hl1+pMq//h/+FMOunucO/cC43GPu3cfsb9/yPJKm/bSEoW2fPf736NRXWY6HrG794ilhUVeePEKlXrEYLrIeFwQVup0FiXi1kMWlrYQCibTDOV4xInmxs2HnD9/kZu33qDbO2JrbZXXXr9GVAu4eHGTWqOFlZa3rl7l1o2reK5Dq7PIdJaRaclsZii0Q63WwPf6xJMJK+eWWV+7wF98/T+QZR5bW+dpt5vUKmUCwrlzFzA65/6DBz/REvlT+9Q+tV+AvS9wcSZA/FEzaN+HVeCnaueTIsD9cdhHOv2zgetf3n74SJojTzTE44DUhwnjPT2mTj77OdvJ+8lH74mTKPBT1/BhnuGz4MiH2O09z+MnAUd+VZ7nj2j2hLJeCfAc8B1M20dfqGCu1FDnDbWNmKX1Hou1ES1nSsOJcXhSP0Sd1nyc7c/3GdPi3XfnhMDhBLY8GZWnVSKn8WDLkxUlnB5TnPwqHn92AoacbnFmfJ0AJAJQlHIAPjmBzGl5MbPKgEEjoldUOJ7W0MdNxscu2YELOwo8sKMCNdWoWQHagJ7LwM8p1p+e694vpv24E04+PHNNp2P1vbvzyY58v6O8x/E+cSYe3zv7E42kX3n7ie+VgFNasg/a8ez4+Ck79ZcaGBGWOZ2Qe5pBakyZqWytLjU4pCr1LOZUHvVqxOrKAnleR4hSP6DINNpa8sSgLejMkmQpWZqhdQEGRsP4lBIEymBRmRFdBsKklDi+dyr+HYYhnucihUbrYh54VqVGA8yzX515DYeaO00x1zYBhKEk7RJzbZMTqOzEIYn5mmXulObC80Io0IZatcHK+iaprDKMc9JZhiMERV6Qa0ualxRSs9mMIksQSIyxmEKTpaU4b+q49EwX3/PwPQ8rDUJRAkSOxA9DpPKw0sUKgetKPOkRVBoIqzE6x1ESq3Nm0wnX7nR549oeRf59rM6IXMlSu8Xm8hIWB6MFwoiyEkep+aA280CbQUuDtQLHccmyFKUU7Xa77E+tOXlS+oMe1pQi6bVaHSUVnc4ijjthPJ5SqdWRnsdgNGRpeZk0S7l163YJAvkBvu8zmcSMR2Om4zGTwZA8zVlbW6bZanDUPeZgr8fOziMEDo4ULLSapHFMEs/Is4Jf++IX8aXAdxTxbB4kbVSx1jAY9JlOJwxHfVrtDq7rsru7B9aALUdEGEYsLS0hhGYyneIHgjieooucaqV6yq1f6kqU5Y1ZmpLlKcYYVldXqYRV3DBiOhiVAURj8MNSO8VaSRiW1TVSSYws+/5k2j8RVBaAch1MatG6QJoc6RgCz8FREmM0nVab6WTMaDSiXg1oNOp4jiJJZyRFBlYSVmr4YYRyFAeHe7SqLZrVgOrWOr4UVOoNYiupBILeeIiONZMsIZKSwBfM0glWeVx64df53rf+PYHSvLy8gsw1Sko2Lpzn5s5tvCjAr/n0pzGRo1isOaRoJrMU1wmoVht0OoskSYLru6wtLLG7d49Op8OjnR2k1CwstBj0B8RxTGdhiYcPd9nY2mYyS5klhk57GXdWEMcaIUO2LzzHjevXmEw0ly6+wBuvfZ+9gzu89OLzDAYFn/v8l9jcfpHhKCUIaiTJlHa7jRGGc+e32dpcY3llhUInBHkdP2jy2mtXCQKfVqeGV6uhbcDmuWdJnQqTZEwQtdDW4jqU2Rvzl5DH7yJivrx6vGZ5r/VxWRE7X6bZ8r5LSt2H02XaE99zMkI42eKkWTv3TWVgvdzHdd25vyy3NYVFKTC6oBI4ZLkmSQu8oMEoyTh/6Xm63UO++e1v8dyly0Rehbs3HnHz5n02rlxgdWuZ6UxRWEU2g2Ffs7bZZrHzZfpH+xzu3kdYw6VnniGeDHjth9/l5r0bnLtwke1z29RaNTq1iG53iNI5kVPFlWVf+aFPniuMlEzimHqrxWcXm3T7A+7de8i9Ow6rSyusLAcEniIvFFlqyAtDkqZkeU6uLbV6jcF4iqsM3eN97t99yG/95itUqhFpapmlBU5QVkUUFpQ0+B4Mjx/RP7iFchxaNUW12mIyGHP3wS7b5y9RqzeZTkfgVJn0jhgPelx/8zXu3nyL2eiYeDIiy1KwOUKauVZQRmELXMdHCEWhDYW2OMoB7CkocqodMr+vJ8LoYj4OjDGnPtaRcr4WthhrUafI/QmI8iQ4cqL5dfYYxhjyrMBIhXUM1pnP2VoThiHVKAIBaZ6R5ilSllSU1lh0liGlQuuC6XQKxoIswRbXdSiKsiovniUMhn0C38Nai+/7xLOYpU6TMKpSFJadnT1cR6JzgwodptMpCwuLWO2TJAl3797j8uVLJElMt3dMnuesrqwzmUzwXEU8m9BoNBkNx1SiiP7xIZaCfr9bCqx7iqhSYTIZcffuLabTESsrC/iey8H+EXkGrhtw9c2bjKZDur1DtIZWY5mlhW2SZEaeZ+ztP8DzNX/wh3+FRjNgEu+wce45PKfC0uIir6dv82d/9m8o9CssLLaR4jKXLp5HyATPc9je3uL61V1A0Oks8vbb1/ncZz6L53j84Ac/oFGtk8xiJJrXfvB9VldXObe2ge8EJOOCu7d3+OKvv0i7XmdteY3CFjzcOyZPBZaQS5cv0O8fc+fWMY2Wy2uvvcPt2/uMR2P+1v/i94kaTZzKMygK/ru//39kZXmJ7fPLZPkUL7C4SvIv/qd/RSWo8Df/5u8yme7zwx98i3PnX+QrX75IEY/4wz/42wyHY67fvEkl8hn0h3zhi18inhlG4xTHD/m//+N/wfmLbX7jS3+Aclz++T/7c6Kgw8rmEi88f4VGs0Y8vUmWabrdLpVKHddzybKCXv8Iq5rUa3XG4z5pmnH79n2uXHmB5dU23/r2f+TipXN4YUg8m9BsLvDt77yK7/k4juLR7gG1WkBFOvzw9bdRjiHwJSurqxz1hqyvrqGtw/7+AOE4nDv/LG+8eZ1atcP1azep19ZYWqlx8873WNsI8ALBeDJjOMpBWiqVOteu3uToaIfhsPeTLJE/tU/tfe09wnw/GzuTqPGJsJ9XtcWP1VM4/a+0n/acPm6Q5ZNcjfIzNfvR+/ETZE/TnH6Ehn6++30kOwEO+GBw8kxw8kO1/a6PTmIvH2RnDiKYR24eB8Y//HATT754/bhG/rN9nuegSOBjKyG27pMtOGTLEmfV0N5IWNwY0F6KqdenNKpTqm5CKLNTDZEyH/kEXHiSDOu9oAB75ueZsP/jLeau+jG7w2OlkKfbeN9RdXbKOPnzafq7p7YzTzUhMbiAldBQCY4whFFObSFlMRwzrFYY1ipMFkLEkcTtCryeQsUaFReotOA0o/LkJM7EGU4qZjjtMZ7yB4+v+YmrP0GP3oUqfWCPPGGPj/fUz0+CnR0ITz3/P7f12CfI3nWvnv79aTsBR34sKPxRzuqXHBiRUmCtoV6v4SoH13GYzRLUgiJJDJ5yUI5DmudlsF1KxsMx6Sw51cpwhMCPfJTjkgcFQjhI4WJsmfFs5xQgaV6Q5Zq8yOdisIY8L8iyjKLIMUaTTydoo08DQVJKFApHKRzHm4v4Kjzfx/c9pJC4roPreChH4pSCAUgpcLwSGLBCooTCGlMKxFNS3YBFCllS6CBAlo+VNgIyWFha4yu/s4n2m/RGMbN4RpbMGA+HjCcJ12/col1v4Hkuo0Efowvi6aT0SdowGo6pVqvs7e2x1GlSr9eJZ1O6/S6ToqDQBVElIs1yoqiBoxyUo7DWUKtGgEUJiTEg8KjUO9TqnVJoN0nRRcKge8BRb8LK4gqTOGcyTQkcQ5ZmeKoU3rVaI5XCGI2QLhJBlk1PAbAy81ijlJrraJS/K+mRJBlpmpHqjDju4wYRSiiCICKsVEAIao06bcdhOktPhX3v3b1XZmobS+R7bF+8iOcIKDKyLKZZr+C6klma0z0eYKzAYhgPB3TaLTbX1yjygiSZUol8KpUKQkCWp0wmY7q9Lo7jsL25RZYXzJKEjY019vf30UZhsTiOQghBpRIhZUAYeBidoWRIo95gcXGJZJYgRQnQDQZ9ev0ua2srRFFYauIYzbjfxWhLpVJFKUU8GRNUKuRJwng8RkpJEPo4YVDCcFIidME0jgmiGkZbjMmJ4wxTGNr1CKEEWE0U+tR0lel0itFlIHZvf8D29hYHe3tkaU6r3URIl9lsSlSJ8BzBQqtBOpniC8lo2Geh2kQnMXGaMi0KpKfLwG4xZZAkVCOXSqPJcDJjGIcsb32Wcf8WeTFiNh7jVxbZ3bnD0dEhjfYix9khlWqT7nBEJ6pitKXXG7O8skJdSeJ0xsbCIuNxn6s3X2Mw2ufZ5zcJogUG/S7D0YSD/SOEhWrYIoqqHPf6dPtDltfPYZBk6f+fvf96lizZ0juxn7tvGTt0xNEndWbJq1XfC7RAD9AABuAMQM4YMSQfxvjOPwQ2T3ziA8kx8oWkkUZhIA0woHXfRqvbt6+qqqxKLY4WocWW7s6HHXHOyazMUrfqdlV3rbRzTmTEju2+fft2sb61vi8nMZaNjS5ZlhNFTda6bQ4PT8hyh7XVV7GmyXgw5enOE5qtFhsbWxgrSJKM8aTHzVvXeGs2Yj6fMplOmCcxszyn5UaEUZfA89l9ekJzxWHrxia+06BaazHNcxRTlLRYI5HKpdAO5gzIOAdH4EXrYrHAVy1CCaQo6ZWEKNm5Soe5fSbiTAiBuijALUonuLhQpuV8j6CUOstAWK51jLZINMqYBcVWgZQKhKSwAmM9HL/Nt3/td7j3zi/4yU8e8PrN17h18yvsHB3z+MEeO08OWFtbZXW1gXQqRDWP8XSORbB+8zKrV9bZebjLeHBCtVUjqncZjY65/9YvePreXW7dfJXNzQ1CDOtbXXINk9mUpADlBbiBIlegqlXiLMFkBY1mjXq9TTLPOD044s7AUKn6RLWQajXAdwLyLMXxHLI8ZTIbI5WhKFKODnZ5/dWbeF6VeFo68B3HQSBQImPUP8aVAuNoIjknGe9SrdWp+RnxeJ/dh09o1To0QxBmhkdGPO4xPj3gzu23eXj3NrNxj3g+JM0Sijwp76fRGFtgcoOQEn2mIQKGMiNEifMFerl5Pt9AW8zZYtQYfZZJYq2hKPT51s5aSk0vyvloAYCUwQnn/accpxfnXIIqRpfgC2XGU2o0utCkeUGaJLiuuwg+KOn88qIoadqyMovN2AKjNVaXc4GUkrQoAwsmkxlKLXTGhGQynXN0csJkNmY66bDSaWE8i9aWeD6n02xTq1aI50kpsu4FSJmSpgnvvvsO129cY3V1lZ2dHY6Pj6lUooUeiySqVun3T/ACt9ShyUstLNdzQVp6/VMcx6HRaJLlcyrViEpQwegx6TzD8yPSpCDPBdYKrly+SuA3kMKjNzji1q0uaTbgm9++RJYlPHp6n2azQe9kxnDwHo8e7lKrVYiTkgKwPzihWq1Rq1f4xVtvM0vqeG6VJ48f0el0cB2X09MBjx/vMJvErK9ewZWSeDojTcYYk7O9uUGrVnB0PKAwht4xHB9YrNb85Gc/xBZl1lq7uY4bSPaPTxmPxjQaAdLxMUYzGSWEUUCmR9TagspEkEwFb7zxXX7rH/5TfvHOj3DclIODOY5SWDbI0oB+r0KWV9C6xslRj2qlw7/+V7/OaPSU//iffsjOziH/zb/5b/nmt77L7v4xP/qrt5nOp3zl5jVSPSNOQk778ODBW4zGCfWai+tb7jx4B9epsL1+ne9+9zKPHz3m+PSAeq2FKCTzOGa2OwUVkMQFs3GP69dvcnR0wl/8xY+oVOpYFEFQJUkMFsXq6jrHx6c4bkCmUzJjmacZKxsb9PpH9IYTDo77vPLaN4hnc7T1Wdu8zng2o7t2mSe7RziuS6vdoBIqbt/7Yza2ajSbDfK84NGP7nP50jVsIXjw4C71ahPpSH7wD7/P/+n//NbHXzR/aV/ar9wuOGr+njroPpJ9hP3+B36X9y30/pbsl7mQL16xL7fPS4XEWSDL3w8T7x9rnqH1unDcxwZHXlLWy+wD2nwZfPiJ6bWeyQj5vPS1z4EtNERQCutIbDOEbg27VsFeEdhrBnc7ZmVlwiudY9ajMa7SuLLAERolLBKDEEtB9SXE8eIb/XyrPw+KvLiOHx74/sJyXnLwRQzgImRT1uX99RCUWTAeFqksvsyJZErTi5lVfU5qNZ7UNdOOIm962KqD9hTeIMe3FmnsglrLIMzFwi8CPs9V8H1vLGr4vmv6kGfqo9hyPvw8Iw3ig9rg75F9Fvfql0SZvtDAiFg4V3zXRZxFtRqkdEqaDaMptKUodImYakuRG3wZYGyGRSNFCQQYm5UR+yyoO7AoaRHKglB4QYBdOH6WorBa67OfvMjIs4LCFGQLx421kKcWUxiKwmBzTWItdjLDGoMUpWaJtRYhJb7nnTmCvMBDKHBdlyAIcByF47oo5YCVGGsox/4ya6XUOhFYUowu6+z4HjL0WK3WEdaigDxNkY5HVmSElYivf+1rHB+WXOjT6YTRcMR8Pqd33MNRLvNkxiyOiWp1lOtTb3ZI05R5kqAcj0D45XXNU7S1BIHL4Xi80K8oyno7Dn7ggS0pwlzPxZEKL6xRJDEah6ywQEk1lucF6LJ9lQNWlA6wStVBaMNsNsfz3bPoZMdxUFJR5HkpOmUsVhiM0biui1EWO49pd7uk85h5MsdiiKoR08kYpRRho12KuBcFV69dx/UCdp48IY3nGN/hZO8JQRhQq1fRuqDeqBIVlqIwnJ4OWNvaYj6e8ujxY4TjUqvVEBUfx3cY9k6J4zlSlr1LSFhZ7eB6LtoatM4ZjuZE1YgwrNHrJRyfDMjyDKUqpNmEopAYC6EXkGU5RWFwPY/ZZEKapmRZSqfdRkkYj8akaUp3dXUBEgmyLGM2m5Mkc4QQFItIbgANmCQmHs2RjosXuEghyecx2uY4nsL3PKRfUsvZBd+mMQWTyZhKo0O12sXkBcNhn8ksodXtMpvOOT7psbaxjrUFs9kIATSrHq6w9I/26Z8+5crWJpPhCW6lS+QpnEAymw4JfRc38HGEZn9nj3SeEicQFz7WaSLdAD+MkS70hyNsKgnwaVUipkc9VtfXODrZZzKccOu11zg5PeXw6JDr1y6jreGkd1KKNl+5zOHhAY16lVazQZqmrKyuIhDkpsCvBFgEa+urSGGYTYe0mm2GgxnCGpL5jMBzQUC/36fV7nJp8wrD4YiiyIjnBatrFSqViHk8p1at4PmKyShlns4IfIfjkxPWNtaQtoLr+nz3e9/m9lu/oBZJahWNL4bkkwxdnGKlg6CO8irEsUSpBqgaFv9sA1BmbJzrP4izzdGFpdNCRG0p1ngxoONMFNue0/qdv89Z5IvR5hxkuTA2no3RS2Bk6RuxcqFZsXDQIxZgikU4JS2gGzR47avf5803NRUvwHM09c0N5kXB6ekRo0GPfu8IP3AJKhVqzRZRvUGW5gyHMc3uOpevXqFIMoa9AfVai9FwwHw24e7t93h87x5Rrcrm9hbd1RXajQZG+UySnHmmyRf6OqEyuK4qqQ+VRJBx+fIatpCMJwPiyZTpYEo9CkjiOWHgks5HjMdDlOOSpRNubL9J2KoxijMcFWB0AVbiSUuiY4SecXS4jydSal5BMjsi9DRHO3eZzlJMHNPe7KLjAfO4nGP6Jyc8uHuHnUcPGfSPKYpkQdOXk+u8nFOW90w55dxnFgE+Yhn3tAAkFtki59kc5b3gIqi1fPcMNTHP/N8uUqrP6aQF5kKW0TJ7RGt9FqlnjQUMVlhEUb4nhcDoAi0kxmpUnuNIieM6OK4qM5lEqXXkuA5al/1PW4PVFqvLK5BS4vs+SskFSGRJ05zjkx6uoxj2xxzsH9CoR1y9so0rFccnA9bX1lnfVKAFVpfz8Np6l9FoyM7OU65evcba2jpJnKGUIo5jQDCdTjk56dFdbeJYcD1wPYkfeORFzmAwwHU9pLJUKhFSOgwGQ9J5Tq3WBDwcBZV6yEpa4803v0KRW5483sXaGXEsqdUddncf0uudEIYhvrfK7uMd9g4nHB6NyHP4/g++TVQJSJM5Vy9d5vhon5Vum0a9wp13H9HtdLh2/RraZFTCKg8ePsLkgtXOCg/v3aFW8bl8ZYPAL8iyMa7vkOVj+oOUra0bxLGL47WYJg/JkoyV7hqNzir93ojR/hGzOKW7WqNaj7h39w5blzZZWW0xHExRXp3rV7/J/m5CvVbjh3/+5/zNz/4zW5cjvvKVm+gso92+TJFafvbzu8ySXb73/VcYTxPeuX2bK1dfZzLVJFlOtV6j1+txcLDL/t4e2Cmvv3qJ3skBr9y4yWA05kd/+VPm8ZSbN95kNp/z8NE9NrdWmE00g9N76NylEjooR1BoTa1exw/K5+Jnb73L1uYt5klKmgw5OjpEm4Lf/i/+GQ8e3mUymbK1tc39e4+YTmcURUat1iFODMpzQDkoNyDL4eYrbzAdj9je2OTx5BE//8UdCmOpVCP+4i9/QqXicXK8x1e/fr3MCLVNNi81WN9Y5fhoSPdRBORsbF5hOJjR7rZwvSbGyA9eHH9pX9pL7e/zLvwj2gWfxa/MPg+35SIF0hfNkf65q+7nq0KfGr3WF8n+tumkziKc4YOzOj744w8v48O+/PcEOFEKoRS24lE0AopGgFh3EZsKtaVpb8xpbExpd8asR2PWKmNqbowUFlXuRpHi2cwQFq8utt8SbLA826ofqYXP/ODiI98R+9zfF5u4ULNn31u+PueaKf9X7vE00pZAiZQWJQymIiiEwPU0Q1Vl4kTM/BATSpAuVkpkUqDSMjBNmPcX+SyB3Qu81MuqiZdc1/M45se2v485GJ8Pe18myIfey8/XvfpCAyNSSaSQC/oqtQANIEkS8jxHyaVTxiykOySmEFT8KpYCYzOkA9YWCMnCmUhJ16EXYt9LkXN8rJXoBcgipUBJVWpulEHPZT3cyiIa1uA4HsI46AKKQpdRuJS0T3leUBR5GSGbpmRZBmiSNCkjcqeKfEHdtcxAWWqbQOmAXP7/TPvEdZEUWAtpbvGCKqkUaFtG2losQhkqkU9rpUmaZFy9dokgkAShR5Kl6MJgtGH36S6/959+Hy0WYrdSUmjB6sZWGSE76GOMRWc5OstI5/GZMyzNUrSxaAtxHKOkpBiNFmBSQTUKUSyilQvQRpCkOYUxhK4q2/VM4wWk4zAYDhj1+4RhFSh1Y5I4wXVL2rIiyxiPx7TbHYwpgaaSE9+j1+9Tq1cZnJwQVirlvXM8tCmYTsb4QYD1ZsTxnNksJs8L0iTHczy8qsPOu3dYXesQpzEqSQl8j4PDIzrtLu1Wm7t3H3C885TJbEqWZdgF7YzOUkbTIaYoGAyHNDot6o0m48mI2XxOr98niiJc18VxnAUQJBHS4vseaZYQJwlCWNIsJ0kzrCkzhXzPZTAccnp0SKNRp9GoUeQpk1FMGEYIIElTxsMRSjqlfohSVCoVgmYTZS3xIqrbCcpsJg8XoRyUK9HalvIBiLM+CIIiTbEiQ7ngew71RpWwHpFlJSVXq7tKEs/ojSZgNEYIRuMR6ysrTCdjwtBHmDnT2QHVimb7Upvx5Ag/WKFe85nnlnk6w5eqTI2SgkFvRL1eoVGpomwGRlOtraClYjw/5dJ6l92jHVbqqzBLmWczlE2o1QNGh4aNS9cptKY/6uN6HspxGU9i0sTQadZ4fPSYZjOiFsFwMiZLYsCU2i3KYzyeAIJmq0OhLfMk4Xj/Cb4fkScjdB4T+i6TUQ8lDa5T9rtmo83B4SGBXyFJEuazGUHgYS3MZxOSZM7W5gbVMGRzYw3pOmRxQqFzDo+fEoYFK50q1s6YnLyFE9Y4ejJi49oNplNFXAQ02zdR0kebCkKdya6dObrFAihcTjxnGoj2fCqSUiKXfJ+LseZ8fywQCwczlLekHMvON1olICLO/r7MhBRYq9BClaxxLLNPLELacgMhBMYKCjysA1MsZBYhDQjJyuY2re4K1swYDobs7+8xm80R+4egHLrdDVqNKkoJhAxoqk287hpZPCXP5hwd7jEaHDGdDnn7rUNcz6W9ssbKxib1zhorzTZGgs4L8plhMhhhpCWq1jg9GbDWXqHTDGjWOiRJTpprXJkxPMiJKiFu2GJra4skTfA8ie9CrSKYJwWSckxEWrL5BJ0MsdmQdHTALBkhmz7VQCGKGacHj5nNUpQTsHP/HeqNLq4f0Tvt887bb9M7PmbYPyVL5xgMmU7KrBxrsUaXukES5AKIwi7Ez88oGSmB6gvAiFiADss+sLjjz95Eu4iiurDJNmZB27Wgs1x+po3GmnKuklIijUEbg7XFWXnWWorFvCulBFNqtWgjgBwlJTIr9bt818NR6ow+UCJQysEsReMXIJ61lqLIAYXjlPOIUIosyzBGoIsZk8mEwaDPdDxhe3ONTrcF0qPRCBmPJmA11hrG4xFJEhOGAQ8fPsR1XRr1FsYYgsBnNIrRJqfb7WDJmc+nNCs16vWI036PNMsJw4h2p8Nw1CNNyn7rOg5BEOJ7IYPBhO5qlySfIZXPZNJjOplQiSyen9AfjNg7mFGvtfnBD37AyekezXrA5e1tJj/8GScnI5qNOhvrK2xudOhtn2Ct5uT4kDfevEUlcjDFA6JaBddxSOcxjuMSRlXSWalX4bkeX/va16hUBIPBY2bTYy5fv8Jxz6JFSBBWGI7HPHi0x+blG4z6Y268+gq333mH3kmPb3zn22SxJUvmVOoulZrEdwOqtSoHh/vEScC77/0VT3cO+ce/8zscnj7mN377+7Q6AVLC00f77O8c8r1vf4fx5JBmdwWcGskYBgPBP/j1r/L27bu0umuseIpmq8WTJw95/OgBV69cIqo1uHNnl8ngiOOjIyZxTKO1yu5u2RYlxV2TbObx+OEpropot9cIKg4ba5d5/OQJVjqsr6/zxuseT54cMh7lFMUIKQ15kXD/wV2khDAMGQwGPHn6mNlsytbWBtduXOL45AArLSenJ+S6IM8tBwc9Os0mO7sn7B/22d/b540332Ct0eLarVf467/6E5J0QhjkXLq8wvFJTO90SKNZ4+23f0GW5ShhOTke4XoeR6f7rK5s8vjtnQ9fIH9pX9qX9mL7IMf/M7RS/Ar9iZ8T5+WSmuvvZYbP3+3rvRi09Lz9nQNNPhfaORdTA17wfItFJsIL/IKf6v0QZ78+G/ugdIbP0s42tAKUxAYeNnAx7QC7GWE3KshtjbudEm7GbLQGXK6dslYZU1EZgcpxhWap6LHMEnkeYDi/sos5GRcVRz5aNsnyvWUuykc5/uwz++Lsj4t2dtYzh/R5x3oGprjwuaQER85gEwV1YoSwBE6OJzS5IxgHLrkUSO0gjMKZCIQpJZARtqQ0/si2eBbOaCBfdIg926p+uj33czLPXrTPYZU+qT0LiogLry8ET/L5vtwvNDCy5LR3XRcpFNiSgmg6nWKtRjgKC2R5QV5oXMdhMpmUwINTao5ISiHykipk8QgKcKzECoel4JY1Am3AaiiWXj2hEZRZKrpIwUpAl04ibbCmQEkXhMBxy+wO1/GQahHtZ8toaWNKMMJiy6yFXKO1IMtLrvQiL5jHc/IsJ4nnFLk+i/zWusyMkFLiOg7SFkjlMCx8Oldr+JUAnWsc18EUKcjSUVatNzjtPcFKCUJihQuOwlmATTdebfIHf/RnIGdkJiY3BbnOuXx1m+/92nc4OT1FCBiPRgz6fWbTGQ8ePCCKanTtKsfHJ/hBwGw6Q2uLzAt8z+f46AQhoFGPKJIZEoWVilxr0iwjdAWFLgi8AMf1cTxBlidUKiHVRh1dGMJKRJFnTJMJWZaR5wWOKHnup9NpSb1lBUJI8jwlCAKGwyFBEDEaDbACKtWQXr9Po9nEdR1mwz5pmiME+J5H4AVYDScnpyS5ReMxT+fM0xGuo5jHGatuwO7+Dp1Ol1q9TloYGs0GwmgG/T5KGrIsRmtNo9UkjmNGwyGOEIRBBSUdkjihUqkgpGA8mnB8PEApSXe1C5IFbZXk5LRHJfQBSRwnPHnyhCiq0Gw1kUownU3wvdJJmOcZSkpcIYnCEM8L8DzvDCxSSkGSsNTlsbrUm5FSUWhNnCWAIAoiXMch0wnGGIQ1aJMhdIH0IQg8vNQnzQxIiXQls1mKH1Zohx5pPMMLfKbjPnv7O6x0m/SOD/BVgivHpMUYbVOyYo5vU9LZBIFHoBxinWOBdqfD4OiEbCaZDXp4202S8SNq62uE0QZ92WR3b0yt1mRjpYYtpuzvPUVZOD3aYf9kh85qjd3dXay1uK5HtdpECYkuDjk+nOCoKt32JtPJEKsh9ENcVxD6Ho6qsDPYo1qN8JSkGvp0Gh7zJOPJk12O5iM6nTW0zmnVQ3yvizGQJiOOj085OniC4yuCQBBPFIo6fhDQabYxicakKVmaIrEksylJHCOlxRGGILQYM0PJgtBTRL7D2OYc3r+NdkO8+jpuaxuHgsJkGBykcherowtLOSERYgl8wBIgEUai1CILyC6j+883T+V4WCYI6EUGwpJiS8olGHKeQYIVGHueJfK+THbKH/3cjChNAbZYUA96WAGuJ8iNpSBHegYlLMZIssKgHAdr6uB5vP7VNZTNOdzt4yhLb+8pe0/u0uy2CKtt1tfWkUYhvQZOVmErjLj6yg2ybMRkPOD05JDpdMw7Pz8C6dBodllbW6PdXqXTXqHVUEyTjDgxBI4gm494OjigEii63TXCyCePC4739zk9OiTyNf1KFc/3sDrnYO8x0ywnrG0iRYHJcnzPZzwd0zt8xGxwQNUpmJmMdJpT8X16p6d02h26zRq9/hg/CGlELsenR7z1059y5857YMv+IiRoNMViDihF1NXZs24X2uhLgNOYkgZLipL66jx6qVzmKyERC7F1a5fkjfaMisFaC7LsP0qdh4OcH/vs/Hwxk2SZHanPOsBibsWe0VOeO6MWQIso9W6cRXZgYRToktrLc1wc5eBJ70z/yyz7KYZclwC5IwRCKoQogyfOgiUSzfHJoFwb+AGPn+7jOZLN9TVG/QFJkuD5DnEcs7+/T7vdJcsysiyj3e4yHo2IqiFRVCdOYobjY5QDs/kUqcqggCTJENIjrFSJahWOj/ZIkykSQWFSoopgfX0Fx5e0uyvs7DxmPO7j+wIhc379N77Gzs59wnAbW7hMRqdcudLAUQXHJ/f5F//it/n93/sbesd9jg73sGaK73ncfe8266tdXMdlf/eAb3z9Wzx+fMDuzg5e4LO2Vmc2nTOZDREyp1r1cD1Lp93A2Aq5HiFUymR+Qpz7TJIRbuDgBRU67RZPH+3w+PET9g/2aDVbnPSOaTdWONrdpVCGb/7aDQKvxV/9xTsU2ifPHWazFCFT8nzA9pUVPM+j30vY2d3n0uZlVtcjokaN3niH4Tjl7t1jesdD1tev0V7t8mvtEFUxTMZTMp0QBmXWx/panU63iZJzlFPj/uOQNPMIohV+/rM7DIYD6vUVWs1tHveOqdXaKBWws3fAt7/7FayFew8e8u1vfpt7d3ep1UoaMyUNq1srxHHM4N4hT54+ZGtrE89zGQ2nXLm8jR+4rK112Nm5T7vTotluc3R0gBSSItM4VY9K2OD22+8xn89Z39hidW0N5UjG0xEIiMIajx7eZzabk+cgpcdf/8UDjvYyGtVtpKjhqDpRJDg52ePwYECWei9fGH9pX9oH2q84Mu/z6HD9KHX6lWdNfI7a6fPuufhUzX5G1/qCRnw+iNq++LC/FfsiZgl9RCu3Jy+6PnEeJfaZls4Hl3OG3XzSivwtd6JnMmN4dor55QRulhuYxbmWvxbvCQmOQrgONnApOgF5J0BsOHiXLOH2nNrqnHpnSqM1pRtOWPUm1N0YF40SBok9P90LamDf9/o80+ODgIplVd9/9R8MiHwY+PHy+ft8P/UC/O2Z45bXsdQMLbumRaFLgXaZY5xS3ziJZsysRyodTOqjM5/YKAJhkJkpXQ265H84R4oW9+hlgNnSab7c773wcj5en/4o7fx8BsPnw86v89MHgX619j5Q5Hl08UJc5rP2+brqLzQwksYJqeMjFxNelqZ4rrfIrggRtkBJRZ5nZHlOsxKQJFPSYk7gegvn4SIaXopnbpw4489f3MIFJREOlFtSuwBIBSKQBIVfOlsoI6q10CjpIDBYNMZoisKSZUvu/dKpWGZGlO9J5aCUC4GLEA7GShylQJV0LkYX6KJ0/hRakyUZaZaRZ1kpFp+kFOkC/baWPM8IlMRmZUaMdBykUBgBYRRhpKRA4FcjigIcLyg7rTaLyMgIRI8gDBEK8iwmLxLa7QZIQxSFGLMBQJbmCE+yubXN9tY279x+j9ksRheG6WTGZDRhPkuYzVJMbnC9CsJqdDIrQZ5Fmziug5BLp5thHsdkWYqUEmMMUipc6eF5bkmfVRRlZo/ReJ53RtuSZgWu6yEWGUVRVCHLMlzXQXkuYFldXUE5Tuno6rSJanV6x30EkjzJsVbiegHzVDPPJLPEoCQMRiN8z2U8mdM7HVAY2NnZ4879e6RpSr1Rx3HLjIf1jTWePt2h1zvFcR1CP6BRr5GmWQnoyRzHcc+yiFzPQ09iiiLDWL34TojnOvT7JxwdHpWUM4ssgM2tLdJsVraRNUjfw1He4twKbxllfTEKXGtYZCCZUgSGvMiJxwlZUeAEHlElQopSELkUUZZIUeq+GCxGaxzlIh0HgUNhLMIIvNCnKARCOHhhHSVjGrUtxoNTdp8+odusc/B0l42VsARjlE8SZ3TbAePhiFZ7FUcpjKvwKgHzeMi1m9tMjk9Jp32cfIVmUKD0BGM28aur5FlBxYeTkwfobMJk3OfmjTe5c/8xaZ4wS2Zoo6lUIqqViFq1ztMnT7m8fYXJcMDg9ISDvUPWV1v4bggmBZETuCF//aOf02y3adSaoC3JdMZsekKz1eL69gZZrun1jxgOR3TXVwmCoMy+cTNWVyusrHyLqBZR6BKEGk3mJJM5ZHCwt8/ezg5SWtZX2viBT9U46HRGe73D4dEhgafxfR+r4enTfR49fsrpsMfaletcq29g0hThFlhZUpuVDnGF41yI/L8QaVJG6bNIBFiMYea8b1wMwMGKM4f1RaosKZc0S+J8zWvPv/d8UNozdEzLBehiaJXLN62AQpPrGCFdPN/FYBfi5KrMKDEFQpRA6mlvzGonIk8k/UGf7ctXcIXF2py0SHjw5D5HR0fcu3eXVn2D1ZUNarUKQaNK4AkCXaHSaLKyvokpcpL5nN5Jj6PDI+7+4hcgHKKoQbXVZOvyNiurq3RqEdlkSuYZ7tz+BY/v3+XK5RtkSYy0moqviGcTXCegyDUCgdYpTx7dpTd6hyvX32QyTcjSOd12wJP7t5mPDmlHIXduv83rb75ejlNxSpHlJHZGNfBxpeWtn/2Ye/cfs39wSJ7FZbtRAud6AcYLUdIsiuW8RAmUqAszmcCCNQgESooSGF/oaC2zfQTnQQfn9+8cHDHaLMCR82wQYyXLTKUl4KqUYlmTshNarBDoRV5T+VaJ3Cz7GJwDKMaYcjMrSoq1LMsQQuDKstySrtKWAQEL4EQuxjpLqTUiZLnd0aYEjEAhpEAiFoAwzGYJJyd92q02M61xVJ9aJSCJYzwvACSrq6tEUQ2AwWDAZDIkSWZUqi4Hh3uEFZ8sT1GOptcb4rgOUjiMpwOSZEKlWqfZipBKkRUZWRpTZAZHBjQbbR7efcCVq5fJspQkTdjc6tBqNSmKhFq9xnyast7d5NLVm8zSJwR+2eY7O49YW+8iMXQ6TZRUfPUrb7K9tcHh/h6337nNxsYGJ8enTKcz1lbXCYIK/f6ERqtJmozxHWhELnv797l/d8Z83uMb332NGzdv8aMfv8Xh0T7Xbr7C+uYqrVYTnQl0rtjfPcRRliAQrK030UXOG197hdPeHQajEVLE9IcD2rWbZKnmlVs3WN/6Bk92HhPHloODY2r1Fq3mCnGao43hweN7fPObb/D44X3WVreZT8vMp7v3fsHp6Ij1zU3+4I9+lytb1/nam19le+syg/6I6XTI0ckBmZGE4Spb25e59+AUJV3azVWG4wOePuqRpWUgyN7ePqf9Par1EN8LuHz5JoX26PdjdOFQCWtY65AkMUkyJs1m1BtrKEcwmYxpt9tMxhOSZEaWemxvrbGzs4PjSL79rW8xnswRuOjCcnh4wsb6JRCGqBowmYyZZxNQlrAS8vjBHvVqm7/8s59RrbV49dWvsL9zQKN+ibd/8RhJSKUSEkYGIQvuP7hPo77xoiXxl/alfQT7XHkFPr/2ZTP9rftbfyVm3/fiV2dnWQ1/O8U/U5VlfS7Y36Uskpc38a8CHPkI9txe6qObOAvg/cDzfuILFC899TNlvOyYckPxCcq88LOsw3n0HouIKUTgQxhAIyC/HBBfqeBdzqlvj2lvjVmtjVgLRqx4YwKZ40qNw1JLxJ7vec8ry0Xw49kLueD7/5DmwC7z7V/UMC9urA8HRT7IlpLwLy/vWT91eewS05JY1CLIzRGl5kpARtVPadspRkomKYyLUtNU5gp3ZhDalowSFsSSneLsYbtYH/tMXcqXzz2Vn7CLvs8h//zFXjzwZQjYRy7kU7blDfg8jEG/hC3cDry8cT/gvny+cJEvNjAyHo8x2qLzEnjI82IhFCsIfJ8iB9f1yPM5eZ4jVUiSzkizKUGlhlAazSLCltIBY1g6+84dP8unXFzg2xdCoqQCBEZrpFUlmAFIB4QnSpFdo9E6R+slfUjpmEFKjLGl85mSc12b4oKDKEGbHCUEynWRlACK7zsIqZDSA1HBKrngRC/IkwSdJuQ5DHKPgQGlDL6nMGhcD4rCUJiCWrtOpjPm6RyjAAxC5mhtcByFqxyqNZ8iT8FadJ7jex4mN3gqIPRDrBZYJEmSUokqNDsdjLVsXd6m3emgdemUM8awt7vHv////v/QxZgiK9CFYh5PSSZjRpMBvpDEyRyn28QPXDy/FHN3raS53kUoh8nJmFoUkWbJWdQvgKNchHRQSpHnOUJKqtUAx3HxPJ/ReMLW1hbWQq/fZ3d/j7AS0mw10aYgCH1m4xFZnOA5Pkp6DE4HeG5As9Xiyo2v8Fc/+jFpNueVV65RKzKSeMZ4mhBnmtNen42tS3Q7XYw1xFnCemOFwPe5c+cO+/v71Bs12q0OWZbi+AGu6zKbzYjTHCtjppMJo8kU1w149dVXeLp3yGw2YTQasTsaMI9nSAnXrlyl1WpgdcFg0KM/7NNpNyiKHEXZ77Msw1hx5vzWWpPlOVmeMxqNCIKASqWC5/vESUyalZRkkVfFD0OsKvt+URSgdNnnhVw4PKEwxQK48SjyAuGXzsxUl5Q3WtiSPs1ovCAgmY+oViucHmRcv7JN3VdMeqdcu/wKk2TKX/z5X/PKrS7kBfPpHDdyyYoZRWZRFHiOS7Ml6TR8zGxKTbmks4TAi6g3a+w8vo/E4LsaYRXSqVCL2hw8/iu+8+vfY2d/Fyl8vvqVr3N4sMdoNCSOR2ysNjjYO8H1NFHkE4UeaTKlFlWI4zlFakljTeDUWWlvMpsMsbqg22xhtKFWa/Dg0SOubG3RqtfoDUoqLS9wsSbj6GgPrQ3tfI0sMzgqpN7ocjQ4BS3ptrs4QuIoS6NWZXd3ByOg1qpyfLyDEwhGyZhJAdcu3WC6c8I0LXj9jW+wsrmNG9YoEo0hIVoNKLwKxoj3Rc8vgVcAltRJi3/YUvD5XIPkPMLfaLvIOFA4zvkadclSesF3fvbZkknLPrc+W65/FBaEXaTfLthOrYO0Tumcd8sgoCIvSiF4KzGxREpwpcRxFJPpnHqgEFbQGx2zsbVKai2ptQhcoHROWm3p9Ub0BwOePv4Z09mceqvN1tYlWu02vlun2YJkbomqho31G7zxWspw0GMwGHB01GNwcsyTpw/ItaYaRNy4fImb1y5z4/IWf/jHf8Lh7h5f/+pX6DRq/OzwkG6rRr8/QkrFo72HzIuYlc1LHJ7MODnp8S//J/+K4+MDfvrjH2LTESadk1PQbTaZjae4Tkiz2SXPysVp6PsMTk95++c/5bQ/xAiFNQVpUZTjcpEjXIFcLKoEICk1PoQGhVqkSpcAhLQGyzm1pDib5y4CZ/aZ10uKrTOz5yDJEgDRxpAXpa7WGdC/ADjKkxmM1RhTcHH1t+yjcB5wVma9yLOAI7Og5dJWL+qicB0XI0wpwm4MnlfOF+U5y3593ucF1oDjBgghymAEx6HIMoQCbWA4nPD4yS63bt4gjjNatRpra+vs7u4ipaLRaFGvV5lOp6ysdEjThEJnDAY9PF8CBZ1ug+l0zHw2pzfos7m1zZXL1zC21Dw7PjrF2IJOp4vCcHrcZzoZ4yiHOJkRx1Nmswmrqx1qUYM/+9O/5PqNK7z2yg3+8K0/YXyaY1mjP3rK6cmI+cxhZ2fC97//j3j1H/6A+WzGWz//OfFkSqfTpNvtcvXqVd55511cx2dtdZXZdMZ0mpAWBV/9+hs8fvgL/qv/+X/J9curDI5HCB2Qpzn/7t//f6jV1/D9NaRK0UZghOIXP32AKyvMx5Kd/Qf803/2VcK6pNkxPH1yDKJDmlTJ0w5SWeZzl3ff+jm/9evf5+r2CvWWzx/84R+wffkVXn/jVWbzCXlesL7R4fDgFM+F+w/fZTw55Vb1Mm+8uc3+3h7JrIqL4M5772KKgocPHjMf5VSDiG6nzXe/9x1efV3wZP8Jf/jHP8TdHXLn3WPu3j1ga+sqX/vaN9jZeYq2Odtb2yAkuY0ZDEd4XkoYNHjn9n2moxnCqjIrzVp6gxOu37iEX3kd15N4rmTUH9FqtlHKEkUe8+mQ19+4Savd4O2332U6mfP06QH9wYhvf+O7vP3W23Q7LborDbI0YTTtE9ZcWp06OpdksYAwYnvzFuvbDcIoYzw9IYkLavUmrVabdrdCrqc8ffoQt5Jy8832yxfGX9qX9qXxwtDED6Lu+NKetU/srP8CNPAzjtqPUd+P5eB9SaT0C/vk5wMced7+ziSRLBx2Zy7ai5wucO6YhM/uHnym7fgBnsVfyuEqztruExW/3Ah+0NcvOtDPoubOQRFxBpAsDhcCXAd8D0KXrOWTd3zMiiK4VFC/PKC+NqfdntBpjmn4c5rOnHBBm1UKq78f4Dh//YLKnjXhx9UFWZ5LPPf+i45/9lh74WD7zOcfZC8/5iI8cf56UUt7vq8XlPrHypbMFaHMqXkJhXUoIodJw6eIHfI55BOnfHbiAmkpN1OGi4QVi4I+DDm78PJ9z+ZH7L7LfvqhIN4Fp8XHsU8E8H2cc3O25714wZ8zzODD7SPc5r+1OnxE+0IDI1KKEhApcoJKQK1WJUkysjxBG78ESaTEGkmSFuSFxeaGOM1oSJCi5GMHgbUSpMSa0qlkjCkzUUxJOSKkBGFAOKWTaNGRrdYljZfjsuQ4L5YPj7WgJBKJEA7ClrooKLUoq6QfWcjgghBlZogxWPJSrNaAsBpT5FghsUt6lEWkrraWvCidQ0o5OE7pGqwFPscnU0ye4Dg+aWGwtqQlcX2XVr1OPJ+WII6RlKwoGlcqrC6j61utBpUoZDaeI4zEkS7JLCHPclzHJ07neL5PGCmQZQZCoUuH3XA4IAgCUqMJPI+19S6OJwh9hxxLvRqx2mkzHvRoNls4Tkwcp+SFxWjoD4bowpLrHCEtYRRy2h9ijWR7YxPX83C9sKSEkRKdZWhtqEZ1kjRmPp8vsjI8kIK9vT2q1Sp5lnFlexvhKIwpBdiFlERhFa/W4PjpHrnQXL9xjZ2nu9y/f5/J9BGPdvbYurzJwyfHrK91mKXQbbdY21Ssb13n5qtf5XAw4Gdvv4tyH7G/f4oAdJaztn4FP/Q4PBkQ1SJOTicoBWElJMsMSlnmcU6l1iTPNP/5z/+K49M+21sbNGoRWLh1/QbGFERBCKZ0XgtZUsM8evQEx5EEfgBWYbQlz1J0MSfLUnwvoDCaIAjodJoLPRNwlKLZbJ5FfQsrS32eogChkA4oR2FxMBqK3JAh0JJywnQVrqNIjS0zfBZZV44j0IXFUQolYR4nEChSbZjlBUYFyKDFcA7zVGBlQBhF9E/28XyP6bQPviX0Akb9Ace9U66tbZbR4aFPNs1o1NqMhnOMCvB9n2oE7WaVd96+TZzAL37+HpWwSjJLKDLNtUuXGZ6eUqRzDnt7eA78/K9/yGuv3GR3Z4AjCvI0plGvM51MFnyeEl0UhGFImmbMkoQiS3Edh8uXtrn77m0CafDIiXxFdWsDt7KICI4nhIHLdDzjZH+XarXJ/skBa2sZ9XqLNC047Z3y47/+EdUoIPAdavUq9WaD/cM93r37c4bTI3I941vf/hbxNOarr7+BJ1zyVDPtTwiKiM5GSH1llamSFGYJeoBUAtc5B3UxZhEWIspFkBYIYVFKohwAW+qH6AUgYjVKSRy3jMQXy4WpAGlL8GI5e9vFbG5tSTO6XNs+Q627MPHMEs8iOT//Uk7Y6AJrDL7vEieWPNHUamW2W5pkCKNxHcnp8QFXr24RpxYrBeDgSAtS0R8XKGuo1mrUGiEb2ysUBo5P+jx5+oT7j54iEERhhXazSatRpRZ6RKHDxvYGm1ub3LhpSYuU6XxMHM8Z90+ZD4f86R/9Lmky49qlddKk4NG92+TzEW+8/irJfMT+wS61Rg0lJDevv8a1W29QGIc00fzw93+XlW6Dy2urDHop7dVL3HvvDkEQkaWa4XCEJxWXtjfpnZyQJRMePHjAyckJ8zRHW0GcZCVIvZjfpLVoaxGmQEoXpQTKSgTybIElRUmPhVIYU2Z8GVNS4J1nky3u5xKAEOV9UXKh/2HBSHAWAITVGuWUgLQxJUihlDrTwSqKAq2LsjyjF691ef8XQKtdZKucdRprkYtMkxLAMRgNmHK8EhKsFRhrcJQLQJ7neJ6D4yxpsrJy7qTMNjKqBHSXOk5lxkup1VRqrAjieUa/P+Ttd97lO9/6BocnpzRqEW+8+SZJPEebgl6vx8OHD1hZWVkAGF2Cist0OqLRrJHplOFkxOr6KmE1JE7LbLWVlQ3eevstCp2wtb1OkVtGswmVKEJalzv3brNxaZ0kT8m0ZjSe0ul02Ny4Qhg0+Is/+wn37j7g0vYmXlAwmU7IUodXX/0GN665zOOY2XjAnTt3efL4IVevXqLVqtLtrvLkyS6eX8VxXNI0xfFKUGg6mPA//A//lv/1f//f0Gm3+B//j/97VtotlIzYeTLl/v0eqX2P1998nXpjRqPZpsgth4c9svkp4/GMS1eu0Giv4Ho5cZzw7u076CJkf6fHN77xTS5f2+LylVt86xvbtJshB3t3GUwy/snv/DaPn55iRU5ntUq93uT4aMTe3j7f+943sWbCj370lwxOR9y8dpXhoM8sSVlZ3aBa6fDb/+ifEs8zPFXlwd0d/uPv/RV7h1O6a21ynXCw32c8OaHVvMatW1UePdrh+HidWq1eZvW4LsPhkMuXrvODH/wa/+E//Ace3n8X16nhOgGVah3XVfSGJ3S6daQqCCOP3ukp1ghu3rpFmmQYNONRD+Xk/NEf/x6/+Zu/Q63aYjKNyXPDlUvXMVbwzW9+m5OTQ7JC4ymoRRV6/UOMSfjmV7+KmBkCx8dRGd1WhfZqha+88b/A2hp/+sNf0G61mMyPWFndZH21wo2b15hN559gxfylfWl/T+xlDoyP6th43jvxpX10+xw6+F9un0FFn/dofiRbhlxfPMeX9kvbGbLzEofpM6T3F+7B30b7CxBWYD91gGYZjf4Sb+Ev67B8WWT+8jN74aCXRosvwZDFW0KW/gTx3I+SCKUg9LDVCqYekG27xNsuZsvS2uyztdljpTGm5c9ourMzHRFH6LMMkWWuhGUBkr2seyz3tsvXH9OeBUeeO+9H/P7LznF+/o9mz59h0eJlGWf3acEMYUsRdtcaAplTVQrjzZlWfGQ9w6QueirJxgqhyzYSxTI4z5Q+yrNK2gsBCR+lxhcewOczSj7sex/rFn0QWPMBZXxWg8PFNvpCzaF/e/bSO/hJbu0F+0IDI9WoQhBUsJGk3mxwetrDD12m0xlCWhxHIqxa6HcopAqwBPQGMdtXK5hkiCNF6c2TCmvKoUIvIlulEEjlLsZtgUUtvIIs6DosKLFw4BSlCKwoHUvWgrAKdOmclIC0GoocoQGlENLBKrUY/CyOdBa88IaSBqWMisYCziKS29gFhlKSdIHBKIkVhlxnZHlBURgmOsVa8INSSNv1vHIgNBabZoTSEjiCeDohjGokSYzrKARLx2jJBV+KLZtSK8VaxuMpRkCmM6wCqwy60AQqoFqJODk5wfd8qvVqSXeSpRS2QChwHBchyvrMxjMSNSONSwCjFUXkhcRaD3Dx/QAZKAoN4+mY/iDB9QIajTqngwFZlhP4PvWoRlTxsMqSJHOKYk7pcFXoQmNsgqMcqtUas+mUWq2G67oIKTHaMO6NqNZqIBXHj5+glIsX+AyGPcLIZ2Njnf7b+9SiFsenI96+e5+19TVMnjEb/IyoUuXmzVv8/h/9iDhNGM8lrtdGqoBmq0mtWrbDyeCUXFRQfhOBIZ5NMViyXHD33nsYq1nbWCdOMq5cv8VoehuBS+BFNCrlz2g0wJWCaqXCZDphNp2VDmQvIgg8TAGnpzPi+ZQwcHEVRNWQwHfwg4gkTYnTGVkiCaMaSikKXSC0WAAj5V9feKXosTXofJExYkuaM20tVjg4NsaXVaTN8WRYisIvHOZGL9Y01pAmKdoK3LDGyvZV7u4csr6+RlTvMJ+MmOZjtIRCFrhVy2B4hDaWVrWNTCXtyiqb9U3moxFuVMOELkdHM8RcsOWvUm9UiYKALEt48PCEqLLO5nqbncdPWd3c4OjwgNVuE09Z+qcHVENFYeak4zFv3tpG6Bk2maOtobq6wng8wgpI84SCgje/8ipZNkGLKir00MJgHMnd+3dwFLx24wbTyZisSBgMpnhRlUwbTo8HRFGF9c4aSirms5hOtcK4f0K11qBaj/DCgJWNdQJP0Wy3sBQcnpwiHZfttU1aoUurGbHV2MSLDcm4z+TwiG98/ZscnI4xswTHWqbjHnndo3BVGQ0vSmDDAtZohBW40im1hpzyr9YGYUo6PytKbZAi1wgpCLwSyEUsNEUo76s25TjoqJKTVOsC5ZbjqxASYy6Iti/XQrbsD5bl2lYu9C3s2fmXqwC1cI5LFEZK4txiBDiBwEgw2pDlGfM4JopCtrbWiWNTZikZjeuq8hqswPVUqfViLYPTMY1Gg6AScOlqg8vXrqELSvH0OKbXO+a9e7voTFMJSoC9pKKTtNp1XNenWatwdb2FYy0/+Zu/4qd/82McUeA6LivtJkVUJ55ZGrWA1998hdFkjNGKnIi9nQmXL11hfS3icrfDH//J72FswsnxE0btKoUQDGYzinlKNYy4vL1NkRYo5XL7vTvcvf+AtLAYFIWxOG5QAiE4CGFLgIsl3ZnB6Lx8HoUqn2vAdX2gzNCQ1kFLjdEaIeTimdVYYxGUIIZagBBgEVagWIBqBuSCLsv3fAqjKbKMIAgoRc9L8MNxHKIoZDrVGJOXFHxnoJs506eRqrxPix1K2Wd0sVi1L0MGxALEAF1AKdElyfMSZFFKkiQZ1gpc30M5HoYUXWhsYXBUOZdnaYznubhSIYShMKakp7QCIxXDwRhdWG7ffo8b17Y5PD7m0eNHXNreQknF4cERjnRp1Jp4jker1SHN5yAkw/GUIHJpd5o4nsTKnOnxkFo9IqpBrS4QIqLdrBPPZ+SZJvAljXqVysCnECluWGPr0iUe3HtIktzHFDH7u7vUoiq/9Zu/wdZ2g6Kw9E7b7Ozu8/RJCe5tbW7R7x3RqFf4zne+TrVWYTQaseFu8jc/+TmFdnjl1ddAKrQyjOc9cAzf+vbX0Lnl//3/+PfsPu3zne++RlJk/NXP+vz6P/lvOR4c8/RozNODAzKT8tqtV1lbW+Xx0z2++p03yPMZ1rY42D+i027Rat5gNs34+jducnJ6TK/XI89zNn6zS5KnDGc9KlVF4Di8c/tnXL1xia9/83VmszlpCu/efoQjAzbWmty8+m2KPCEM26yubuJ5bXZ2TwiikKgW0hud4Mic1ID0q9x7fMSf//gnvPr6TbYvv87jh4e0WquElRzHdYjTCbPYMBj2uf/oAVublzBa8e7th6Rzy9rKFlevXufktEeSJQjHxfUtrg8PHt9ha3MLz4/Icsu9e48YjUdUqy4bmy02NhtkmSGONZVKm8eP3wNcXK9CVhiOj/e5eesqk0m/1JpKCl65eYve8JDZ+JRbm1tc2d7kP/7u2+w9PWZ9/Vs8vHsP162BnnDvzhOuXttkvdukJ1Me3b9DmurPeHX9pf3dtU8SKfkJivmihpqfBbb97Vbjk9mn6VH51Xrpf6XZCZ+V42np2Pq45z5zDi/O8b6Q649S7mdhXxCkZtl+L+pAzzgcyxsvlscu/Tj24jl4f/u/7PI/NDr9uWPth7SngGVei33RMS/6mviQz89P/HL7JZyIS//YWRXscxf9Io/8S84klgFSUiyCkSVL2izrKvBKcfWi4ZN3fYoVD2c7p7k1pbIZs9Ecst4c0g6nRCqlIrMSEBEGKewiDNk+16vFGW70TFPa888/CJx4mdnn/r6/AT7q+T74+I8KNXzw9xbPhRAIW7aRxCKFwREGT2o8WeB7OUGYk0Q5VD10TZCnElFIZCZRgNVLcMSe9eXzZ2ox8F4Ezl76HuegyufFLtZtaZ9mEMXzY9DnfNh9v/0K7tVy7r7QbT7tUr/QwIiUAtctKayCir/wrZhzeg5rzqg3sqwUJTfCI89LD66QCsQCcBClCwbOM0Tk8xQicAaKXBzvz6lHlq+XVCPmmQfJLhw9JUrCIjJgkTWyjMg+GwckQi444xeTuFjCx4uCFRaJQVlFrlWpBaEkjhYU2kFlSak7IcAunJrlFVqUo/CVwuQFaqGnIhClI1VAURQ0m02azSbCSJI4JQhKDY88y3A9BwnkOsNRpS6I45Z6LnEcI4XAGoNUZTYC2lBvNHBcD98XOI5HmsVMZzNG4ymB0gzHM7LcIKRLnuc4joPnVdjcbKOFxhCXGh7NAAzkWc48yZnPE3RR4PkO1UpEmmWkWUpUbRDVIkxRNly16hKEIUmcLrQzCpIkwXF9CmOYTmc0mi329/dpdrtI10E6mvl8Tr2xgjIZt9ZWyfIUm2m6rXU6zS6j8ZjhdIpyFVuXr7Gzd8yw3+PVV1/j6PSE4XDA6sYaUgiGoxme62DyjOloiOtIavUuUbVCkibUai0cx8d1HObzGdtbW/SO95mMRxRZwqifM+j3iLMUxy0pazzfZTyekMYZlbBCo15DCkMUejQaNeJkRpbMEVgqvo/jBTiOhzZ5KVzvOChV0hXpogQ0rNYYKbFWLzRtDFZofL+CUIrcFkhKbRcjSsEuIUonp7ELSq2iBNWazTZFnpOkGUVh8YIKVkvqrSZvvfVz/KiJE0Qc9Ae4jqLVahLHKSJQ1KOIk8NDrl66xM7efQaTIbNkjiksr1UrnBzu0mxWyHOBEopKUKHVaHAgweiMjdUOly6tE88mNKo+o/4hWTJhpV1Hmpwg8HCVpBL6xPMZnusSZzGe7xLHc/K4IAyrhGFAkqfUmw0O93chTfja6zeZTUe4StKohri+x8lwjJUOyTxl2B/SbTfLrIR6k83NOqkRTBNNEPjcvHmTdqdJ4DqEvqLfP8Xoglo9Yr1xk4p7C1uk+H5AUWjGswmR6zE8OeWNW2+wdzpHx0OMDMidOk6tjgS0Nrhe6TS3QlDkBisVhTDkuSYIPUyuKdLSqWxMmeUVeLKkO8ozXE/hKIfCFmVmHgLHESWQZgRSa6TO8aRPfzwnrDbwXUFelAvMi5uNMsGgXOYbc5ZtC2JJS1geWCBKIJgyg8EPBGmiyfKMQATMk5jJdEqnU6dSDZhMc4LQRxuBqxRFXtIAGm1I0hw/cJlNZ4SVOkiXNLflOLoY05USVKsVup3rWGOZTRLyPAWjSfOM3BiOeifYNCObjUhnI9r1iL39Q6J6g2vXbjAeDVlbXePJ4we89c5tGrWIlY3voAtLo9ZkZftVHuz0qEbVUpdieso3v/4Gvf4xjUghbMY4KbAoRFSw3ukQVULCMGT/6IDHj5+QpDnGCgpzca6CMkOxFBpXykEgcFQJhuhC46iS5qooinIzsNxgGIvyFKIoKKwuAZVFgMAy4+8sXkCAQaJtKe5eziXm7B4t948SiKJoQeO3EGK3lnq9zng8Zj6foxY6IBdp3uz7Uqzfv52wwpbUYIsNrbYWqc05r60o5/mSLlPh+R5g0HmB0QVJYkmSmHqtTlQJyNOUKApQUpR0mwudqUqlguu69PoDQl+xttblxq1b6Czl8ePHXL10maLIybKUIPAZDge0OnXS3KVSraBcyzxR9PsnjCZDPE8RBC7jcQ9LTi1qkOcp1WpErVZlOpkwngwQUtPrHXP37j2uXbrFeDhBGkurESI9h42NdTY26mxfrtM7nTDsZ0ghmE6GfO/732H3yS5pCq4b0uv1CYIKtVqD3d1dWu0aUbXJ6kqT/uCUg+Nj3vzKm4ynCePhmAf39mg1HK5cW8ePFL4bsbrd5b1Hd0l1DiKhs7aOkA4PHx6xu7dHGAVsX97kvXdv86Mf/wJdaDynR783plVvkUhNfzDmzTdfYXt7hen8FCksrqcIwyrb29dZXX2bLEvQRUbveEyrcZUr29vUwgrSQjbLUMLn8d0D3njjFnkGg6MxlVpBkWocAn7+8zusrl5j69oN7t+/x9rlbb76nW8RzzMeP+2zd3BEnhdUaxHVapXReEyt0SAyghs3X+Hk6JTT0wE3br1KPIvZ398ny1OyPGO7ug5IxsMJtUqX1e5V3nvnL7lx/RVMNufo4AHTmuT7/+DrBGEJlhRZCNZne/sSu3sHRFGV3b19ZrMJ4UGAMRk1FvpdSlGN6lhrebp7n3ZL8c1vvcrh8Sn33nvEoJ8QVFJc5RJVIh492KV30sP1BZNJn9ffeP355fCX9qV9NvZF25x/Gt71L9o1L+2iY+WXuYhfqg0/KeogLixtPssbYH/59vmQ0/9S9sw9/Kjf+ezAPHEBdPj8PhYXnScvcCg+A5w86wFfCk+//1ieP+gF53zmxQuqdfF7y3IXXvgPac2lPuS52fd97ezeXCjv4z467zvHx/ryxz9evOxLSy5mIc/o5pELhhWlIHAx1QBT98lXXZIth2ITOhspq+tDVrojOv6Mtj8hclK8ZZbIQmD9IiiybMaLEMnzSTXPfv5JQZGXfe+Dz/f+4Um8//P3/f/F8MeLoLjn63cRk1h6QkvNEYMS5Y8rDb5TEPgZQeihI0VedSARqFTgxKoMirV2Qc/NBXBk8dy9NHtr6f987sq+CFx+z4wtz3/2PIjyOb+WX9pegDB+Fnae9gXYMybK889/udN/oYERABac4VEUldHuvs9wOEaIkpt82Q1ns1nptDWWOElKViylFuHMdiFAa1kynosFxUiJWC/oXhblnU1uS2cTLKJ15TkPv7UljdeCz98Ii1zeLXEeqc1F/FrY84l08fkzAscsyhULDHsxyUgrcVCUErUO1lEY46HGKVYbHFVWytgyMhitCVyvdALHMW2pzp/fRTRwUeRUqxECgeu6hEGA75ey8/FsjihAOAKkJctTiiLH90tqk6LIgdI5nsxjBFAJQtbW19hv7/P4wWOKSoRQCildCm2oVGv0+kPu3HuAzaeEnosjPaxVOJ6LdCWVWnl+z61gNVQqlRLEsgZrTMnTnhUI6WCEw3Ac0x/N8VwfazRhJUBbgeeWVC9SebieRioX33ewSBzHo9XuME8zkiQmnmuuXr/GwydHPD094MZrr9BqdTjc26dIp6yvbiKVIs0yIj9Cm4IwipiMxljhcHB4yvHJEXuHx2hTcOXyJV65eRNlHE5OR1hT8OqrrzAYzjDWsLreXnSRElyLkxmB74KFwK8xGo2IahGVWsR0NsH3FEWeAYa19Q6+42CNJvBdAs/D2gLPKWlmzp4HIXAchSMV1iy4/61AlHj/2SJxKeVVUhuVXtIkSXA8kH6AMQV5kWJkjueFC1CrdFALVQohO46HEharDRudFYb9Hqe7R9TqLdyKw2p3g9FwSKEVGo/Vziq1aoTrz5iOR4xGfZQQjJMp25e3mfQf8bU3XmcyLlhpRTgmw3ENp/MpwiQ4KPrHO1Q8aNTbDPrHJLMQV0IYOMw9gc7LvjOfTylMAVIwjefUmk0cVxG5IShBGsc0mi2kUMRxDMDu3h62yOnU6wyHQyquA65HnGac9AYI18f3XK5fu8psNiUKAiRle8+mU5ygdB67eUZRgO/7SFvSEK2sdJnOpkShh1OkKGuIokbpFE8TmvUOr90KOTjYY+/JQ66+8ia562FCxURAluel8LorUVIwS1MKrUmTnFRlhNUq1gqmSU5hDNoYAmlRJkYJQSXwSdOEaTJGa4njuZAlCCUR1uIFAaLIUEIi4hTyAjesUbUWT5Q6NEZatD0fJoWg5HSldMAbIdFWLRYIF5zfdjHyCoW1upxcC1muibUly2PSNKHTaRBFPvPEEgQlXaIUiqKwSCXK7AMhCCo+82kMSIIwLHvzYiA9K0oodJEzjw1KSDzfJ4pCPEeQl1xzzGdz8jimSKoIvcLx4T5v333E6fEh42nCardNM84YTuYo5eEHFSphkyLv0V3dYPvSZbzaCv3TQ+7f+QXD013+i9/+dW6/t088HdGq1fCVg8GhtVLBcyRRtcrB4QHvvfse8/m8FFg3pRYMiHLvgGCZUWGMRSpnsaiVpW6VsGX20JIqi1LHyi7o1gQKR6mSlm8BUmgJ0pxNYCVULmSZ5UFJr+V5Hq7rnoEbSikc5WKMwZGSahSRpilJmmK0oFKpMFtQbRV5segTy3uxDChYzqPnu74zYG0xEmlMKexnAWkX/Yoyq9NKjDFn9amEIY7vY7UhzzLyPKMoCqIgoMgzHFXSgkkpcV0XXRRIJdGmYDab0W43KHS5uHcdl2athus55HGKUmWbuL7k6LiP45cZO8NRnySbMo+nzOMYYUsaL9d1cZG0Gg2stcxmI6yt4DoKYxKKIiOKXC53Nki2cqajlFdvXmdzbQVrE06P95lP+xwdDrE2pFJpYXXCZHRKs11nfb3NZDpkOrYkcxiNMqQao5RhODoiCAVbm3WEHVELBJvdLvk0w5MRAk2WWZTr8drrr1Ctt3j0dI9MJ4Q1w3wUgygQ0sPgc3Iy49Klm0hlOD7qkWY5T548pNtdpVGrUBQOhfE46U2ZzXP6wyFRwyGKFO1miyiocO/+Y37rN19lY22DsCrZfbLDZKh5fPcIm8957eZlut2IUW/M6dGUe++9R/BahMRho9ml0ghJdc7uYZ/V9gaNWptHO0+oNWvceO0aD54+5PDglHq7RTyyZNmEqFojy3NWV9d4+PgJQVBhOJ4QVqr0+3ukac50MmE47FOJfKwtiCohjXqdnZ09DvZPUeYUk1UYnGYcHh3RqHX42jduEvghpyc77Dx5QhQm3Lj+Ot/73reY/dEP6bYbeIHL7u4uaZqgFBwdHdNshlgRkaUZcxfSYsR7997jjTdfJ4ozDo4P0CYgTRSBH+A6llrkM5vMsJOUV19/Fcfx+dK+tC/t74h92g6TT4pNwIW6fBEjVj/ELl7bJ/7uBx708c/7MvtYzp1fgQNxEU3+ue0SZ6DIB3T+57NHFhHp5z7Z5wGShT0vjiwunO+D7IWiyuLC8/khrfm8t89ywUd04VwfWN6Hnf/TdmS+oA4XwZcXlbUI2loGb539OAo8F+u5mJpP1i4zRdiw+Jdyoq2UTnvEWmvIWm1EpBKqMiGQBZIyS6TUWHy2QZ7dfS4Bgpe126fROB/9HMtu8TKw4/kR7OWgSPn+y57Y978rzn6LC9k1UhiU0LhC46mC0MlJ/JwkdMmrIOYCPZeYmUUs2GbEGaf2hZIsLwY6Lr73Isqtj0XD9aImWLTN+8bHT9l7//y1fUqZLs8POZ9rOxufPuBZ/7Tsg9Y4Z+PjJ7MvNDBS0saUV1+pVEoNgoXTRi6ABbXQT4jjuHzfcYiTlKLQOFJSig+DsBKhHORiGFk6Xp7t6B/+YIpF5PxZtsjyYZFgrEAisFKc1Y8zgVoLC1EoBBgB5gxbtwvAwoA1pVbJYqJZDvhKCKRUZfqfFXiuKqOosxQZhAtuxXPaHCUlUaXCdDxGsWQIW2gULNqxXq8xn885OT3BNDUrfpc0TdBa06o1madThJKlFoFyqFRCrCkIfY+iyMiyDN/3y6HZQhiEXL50iSvbVxgNRmhTMAh8KoGL1uD5FbYuXWFwsosrwRaQF5Z5nGATw2CalLdDO+WQbTSe4+J7Jbe857lkWUa91sRxXKJqxGyeoByfZrNOnsdM5zM8hzNefMcNGQwnGGuo1Kr49Trz0x4Swcb6Jto4HOzNEeqY7UvbvP3OO7S7KzSrNTq1JqPplNF4SlbkiCQhzxI6zRbt7iqVao21jS38MKLaqHF8fEicao5OBrTqDTorm5wcH2HwePDoLv1Bn3fee0Cex4SeIvQdPM8hyWAynlCNQmq1KoXRtNo1hITxeEQUVeh0OniuQikwhUXbHCvKaxSixP8FpfMYFnQ0jsRxJNoalBQoIcCYBUXbMoqmzBBSrosfeJz2xjiFwTUuSewS+nUSYdFFRl6A40kKUyC0xXccXKlwsYReiM0TVBCxs/uEEI1ULVbrNaa9E3Sas9ZZRVGCaVhDlsZ0Wg2kNYSeJLEaBXhKIEzKbHRCOh8Rm4RAaoaTU3yRIYxg1DugVb2EK3OO95+yttphNukT+i4uEdZaJrMZoQ65+cot7j94hHIc8iIjqkZMZ1N2dnbY2rhMt7OG47gMjo4IfJ+VjXUcUzAdnDIzOc16g9k8plaNyG0Z9aaUxHgeapmaai2h71MIgbWGNE0ZTWKOTw7pNBpsb63hKui2WiTTEVIJ6qFPPJ2T5xrXCcmyDIzg+pUr7Ow95cGdn7F141WMKahVIgQBnhcynY3YO9hnkiRIx0F6Pl4lQtJA+QGh75FmBRZNx1Ok42MmgwGZ1RijKRZgSO5I4vlkoY0kqK+uUlECRzpQJGBgNjxBWI9pMoKwQaW1QqIXCyxZOuSXiXFysRmxZwuGMksJIUrgjQt/rSXPEiqhz2Q8I45jWs0mYegTJxqpHPJcL8AQg+tKtNZoA66jmE1jrDFEUQmKaLN0wi+c8rZ0aLteCeRJKZEI8kxjCoFQcHoyIoljAt/FcQMybdi69grf/LWUw8N9ttZWubS1zuZKm/39fQpjKbTFUT5FYRiNpnSSGOUphtMhcT5nZX2Fn731c4SSFHnGaNBnZe0y03mpXXPt2lWePHnEztMdJuPpGX5krS0z+5SDkqpMvRHlAtaYUmB9OXaL5dy4yHoMPB9nqQOSlfRTWpcgWklLVbaJVKWOlDEGAWityfOcUrC8BFyMLem4lJRnWlyh56GNxhqN71UQWHzfYzQu6f6kkGfZR2W7L4MJeCYy9DwIwD6zj1p+ZqwtszgXxy21vpagCJR6I1lWRjRVKiGxNVijUdIhz1Oy1KVeqy3E5sv1gOeW2Zau6+L7PtPZjGoUYrTl5KTH4+mIGzeukM6mBIGP4yj80KfQTUajAdpk9Id9/FBhrEZKxcbGJrP5hP7pKdIR9Hon1GpVwjAkno8Z5yntVpP19csMhwPq1SpCSJJGhgBGo6fMpyO+8uYbNJsddnYeMurP8Jw2s8mULI1ptcoyjk+OuX71qzy4f4AfVhlPEqBgPJ7y6quXuXxphel4TCwtgWqxv9/HqTVIskmZvdKI6A9HnPxkzOHRnP29Cc2VBo5TAmy5zTDWMhj3Wd1YZTqbcNI/BTR+UONb3/4+K90tDvf6/Ogv/4ZKFPL1b/wau/u3yZ9MuHlzm6OTUx6895S3f3GXV195g243ortSYzTymfV36TQqfPdrb5LFQ/rHA/7h93+de+8+YdY/5i//9Ie8+tpX+d53v8v/7f/5fyExKfM8Jqx1CMN1xqM+4/mcP/z9XS5fu0SWFeTJkGRiCcMK7XaX2++9y87ePlpbrFXcvXOPIKhw/959hDWsr6/j+x5RFOC40OudEEVNGvUO+7tD7tx5TBTVGAxGKCVpNOu4nsPPfvpTLl1Z4Y033mTQm6NNxnB4iuPCPJ6itcZxys2pNoar164jZUGvfwQUbKx3IMuptbr0RzFHp0Nq9RapJzntTclzw+rKOr1+n3Q4ZH2ji+9X+dlPf/6ha9Ev7Uv70r4A9nmKIj2jEfsc1elTt88KFPnbtgtBm59VdZdBNp/b5lh4y17qDOXcSb+k6TkDRyxLTYlzs+ffuSjQ/lHBhPd978Jpn8kI+WgNKs7Od/Fani1PvKi8l1XupdfwSbyKyz0WF65Z8L7F/DPFXIigKzfOJUCyyBSxnosNPYgCio5PsuGSbSqCzYTG1oT22phuZcxqMKHpzPFFji8KFOfUWWf7iWdq+aLaf3pe3F8Gly4f34si7+LiR2d/X/T5y2rzfnDkBd+5yCd2AdeQWBxRCrF7ShM4Bb5bkAUGU7EUFYEOBMaXyLwMgi11R55Dxi72yeefsYvP64sa70V96KMMQhfBiV8FJdeHlfFRM2CeHzcuYqGfU3sW67Uf/Nx/zu2LDYw4EuWUorzVavUsolVrfe5wWWSUlALlFk95TGcx83mCpzIwCViJch2ELdCLhYWQi5Q7W8ITQi25Dl9QESFKgMbaEuVe0oRgnukb50O0WGSDLMARa89Pe0bFpUpXtj0HajiL5i8zW5YZKGJRByFVebwBVylC3yeexwReDWMWnPTGLtIKDa1ajXg6xVUOklL4XSpFnqckSYzjeQSBRxj4JEnCdDolTmdMphO2r28R5zNcd8Fzj8D33UW2iF047QRhxSdLMyp+hSRJuHvvLmvdTVY6XdzA5fXXXqFVrRCPjmm2A5qtFqudKnk8Q+cGpbzySl3BNBliDeQZZFmB1jlZmlDkKYUuSGcZRmvm8yOEdNAFaA1Rpcre/hGNRghoinxEHCd4nkeW5TQ7TVrNNpVqhd5pD6UUWxsbzOM58Syn3W2T5u+ikbS7XWbzOUWas/90n9dfeQ038Hl6Zw8kbG2skyQpxhhms5hqvUmc5iAcKlGDTrtNkWXcufcIRwquXb5MmsPBYZ/N7S32D3Z5cP82X33zVXxPobWl0Jp6o06eZ2Al3dV1siyj1x/guz5RpcY8nuG4EldJhFC4ysPxA2bjKRKBFwSkaUI+T1Gug3INtsgwOls4KhdCzXbhxV4Mc0uHoabMFOq0myA9jHBp1mswzgCXTGdUGw1yI5BSkKZpKeBlCqaTMb7Q+MJyebWNiXuM+ns0vIK6D75ISUanhEpwfHpCpRKV84cW9HsDuq0aB7tPmQ4OcUTKZDggmcb0T3eZTScIoel26qy2I1xXsL+zBzommfbpNCpMpxMcNPXQ5/i4z8npMVmnTa3WpFar8eDRY6JqFYSgKErQYjIZI6WkEkYcHR/jhyX4BJbTkxNsnhAogTCaojB0ux20FSS5prCQxjGeq3CEJM9z8iwl9EImsznCguf5KJVRrdUZzyYMRj5FOiNwXWqBRyg04zTBkQrf8ynlFEq6O991uHH1Mjv7uxw+ucOVV75CMd/BNyme9nl05z32nz5l89I2a51NvIqHkTHYHMcG2FwxT1OKLMXMM+SsTzifl5kaRmNNXgKvpsAmc6SAPEsZDR9hrCYMQnSWghUMYk3m1FH1DZzGJu2Vsh0yDZYyAshoUY6xZxlyy9w8swApzq8NBMZooshhMjL0eiekWUIYetTrFYoCXNcBKXBdSZaLkgJOW7QGxy1ppIy2RFFYjv25PR9Hz8ZZgNK573oOtijpmsJQUeSWo5NThrOYbrcDCzq57sYKWaz5xvf+IcJqJIaq76JMinI9Op0VBr1TKpUKnufj+S6VSsR0MufGrVusdms8eO8XDIcz6rWIq1eukk0nhJ7L9vYlxuMhf/3Xf83BwR6z2Yw4iYEy88MKEMrBUS5CCqwur0cCOAvtH7sE0MvvLOcG1ym1q3zPBaMx1lAUBdYUZyAFcJZdUhRFCZRcoL7SpcAMjnAxxhL6LtJxFpmYBt/zAEsyn+OHAVpbfNc9mxutMWeZKe/PglyCOmYx94mze3UuDL84RiyHqWX6rEAbfVZ/rTVpmuL7DoHvkydxyU2MIpnPz+aySqWCkBYlXapRRJIkuK5Lq9Vi0D+FxTPaaDSwJuf27XfoNOqsra9wcLBP22vTareQDgyGPSpRhcl0hFICYzWPHz2lWguwxpIkKfVGje3tLcBydLCP1oaj412EzGlUq5wc7XPrxg0qviCej7m8vUkWtwgDwcN7d6jX67Taa/z1j3+C61X4wT/4NVbW2ty9c4+jw2PS9DbzmWU4mTGfZzQbNaJqi929Q954/Sbf+ubX8WXAn//p37Cx2qGXxjx4dIdXrr7GZCqQjmB3Z0SWRUhZYzafI5VDYRMuba8QBRHj4QyDwfVC/vhPfkh3tcGVy5cZDmfcee+vGPbnaCupVBtEjRbTBzl4UKk2+Mlf/pz9x8dEtSa/+wf/kX/2L79NveEwHhe88upVigRuv/0TXrt5nXffvs23v/YmnpeyudXgG996k9ks4/f+4D+wu/+QyzfXuXn5Epeu3iTJXCa/d8itW1/hpz9/m/vvPKK70gXjgnWYjMcIIfjud77D7/3BH6C14eTxE5rNDicnpzQbdb773W9zdHhAlqWEFUWtHuL7IaPBhE57gx/84Pv86Ec/xlqN5ymOT/q0nDZxMuLmrVsk6ZQ0i7l8eYt2a4XHTx/hOpZ5PCLLSz2deqPUcdvd2cFxYTA8pVoNmcUZx3sHVBsthNsmjDpYwK9INIZf/Ow9rJTMplMKnRJWPE5OT3HcLzNGvrS/B/ZR6Cm+qPZZeZc/v17rj2Qfm0br4vGf9qV/1Lr8MhHNn5YtH4uPmzXwyQv6rAr45ewZJ+sHOCIvgCJn4MgLOFnOfUlnvz5mfV7yvQ+r3wee7xOU93EK+NjnWEaJv6itPuB8C1DkYqaIUAo8B9wSFCkaPkXLR686iC2Dv5VRX5vR7Y5YrY1oeHOqKiEQ+YI6y55niDyH/VxQvfhcmX3u9QJieuExHx0QuWgf/6rPqMeERVizAEgMnirwnALpaUxosKFE+6A9gXQFopAgDVgJdinEvtjRvaivX9yYX3wm4YOfjQ9Dnz6v64SPA46cAbWf07H2OXvfzPCB1/kRweWPaM+U9Hx/+pj2hQZGzmhChCCKIpRSKKkuRJBKsCUFiC7K6FdfwmweM49TjKdB52AsMrcIpSlEybeuFDiipBYRQpXUQIvskzLq+bweYuFAOnsQpSxFzo0Aoc+e36XjTwi1iOJfKHuIxcBxNvLZswl6EWsIGKxYOhPLw4wtOd7LPJQlSCLQRY6lwBVw0Duhikecg1TuIktGY63BcRz6vR55mmG1RiiwRi8cYoJ6o06hi5Kix5RaG9pq0jTGceSCPxB0UVIt+a6DoyTT6RjHcxGydJwpWXK4d1e6KKn40V/9CFcp6s0qoedy69pVApWTJxWuX+7SCCVJPKNIc6Rwka6LZxzqUZUoikhTS5ZmuK5CytIxaqxhPo8ZDkakaUGaZARBDYHi9HSIFB6D4YQkmeE4iiiqUhjQVvD27feohBGe7+I4DrVGnf5ghOM5CFyEELz5lTdQ1Yi7jx6R5Zonjx5TrzVYXd/kz/7sT7n16qsMx0OOTk5ZW1nDkYpcG9IsJ9Ml370bVDg67XN6dMTN69dZaXeohBUOj/YZTufIkz6N9gqD0YyT/oCVTpuD41Ma1YCoFpFnCVFU5cnTp2RZRmdtnWQ6YzyJMdaQ9EdUKh6+75GmGqkqCBkghGQwnJBlGY1GDc93S+e01aXw8iKC3KIW/dgipSozWV2JUOBLB8f1sDgYq8i0wWYFrgiYxinaQJ4maAOOEgg0SdyjVQ1ornqkox7D432mvXdLwXhHMxvt4bkezdBw8ORdZpmg2ugShDWU69PpbjAdnJCnc1q1FvnohNdfe4P9nSesrTRptRtMXIPrCk5O9knjGZ1Wk8gXNMI6jZrH06ePqFR89naGVGsVVrodpIRarc7u3j5JlpMVBpGmyPGEai1iOBwxn85oN1v0egMmsznVWsbRySFKCepRSMX32Vzt8uDOe6RxAnKDIAxxXcV8PF1kdQmKPF9QmgkG/T5e1IQiY9Ab0B+N6Q/71KsVwjDgeHiKMgavXkUWCa4Spe5DUdYxCAKajQpFOkYCm6sdTkdjJie7bF/ymc/vMO2ndLwYtZLi2V3oD0h6gjjLcf0Q3wvpD8e4rodAMJhNUCYncB2EAF1kWF3gSPA9h1BrtNYIYfGsAxJkloI0OEGIoCAWCWvbTXYHI+LRIW7QBOlTkmgtVz1qMYrBculnrcHoEnRYaik5ykUJSe9kTJHnbGx0OT3tL8ZzBegFJeLCuS5KMDjLc3yvBKWTJKVeD5FWkGemHM8X4t2lw1+AEmdBSllmqPgSjODoqM9kOsYKwUq3Ta4zms06WVLgeD7TOEFoqIZVsmRKYWDQH5JmBUWhqVQC7t+/w3jYx71+ncJohuMx49GAbqtKq71Bp9VhODjBcyw4Cs+F09MDfv7zt9jd2WV7c4M8z8GWVGsOkjTXWEoaLWcBfhrMAkwQ6KJAyVJnxORFKTBOmU2hhUYXOdVWkySJoTCoBTyldQlELPVDoMwm1MaczXcl2FAGFriuh1CQa40nFlk2SYzOM1zHwfM8kllMu9Ph4cP7rK6uo/O8PCegTakHYhaUXgv4rOwPy76xCEaQouwTdnEd1pZwmralsF+Z+VjqZi2nY6M1uigw2iCwhIGPFKB1gXIkSTrH9RR5oeh2uwS+T+C5BIFHmqakaUy326XVqOO4JXVjVKmgdZ2oViWO5zSbTVzXJUkSTo57eL6DwOGVW2/gOIKf/+InTKYzhLQYk9NaadLuNBiNhriug7WGosh4483X8T3F8cEBa6stAk8wGQ945+2fcbzS4nf+8T9BWIenT/bo9094uveEWr2OH1S4c+dd/PCrbG1e5fa7D+muCW5euoR8dEiaCmbThKe7PTY3WvznP/sZb//8NoHjUiQFg+GU5uYwp3OEAAEAAElEQVQWt65fZ9gfsrnR4Btf/w7N+gl/+aN3uXxli9/5F/+Yn/z0LR48vEv/dEBRLe/bk8dP+OY3v8WtW7f49d/4B+zs7vLjv/kF82lGt7tBYQ2PHj9mODtlb/+Ub2y8yp//+Vs8unfArauvEMenfPN7t0j0MfM8Iqx66MSwsbaKtQWBdKnXI+7d/wXjSY/j0Yhrb77CVOfc33nAa1+7wX/1r3+b//yXv4tQRxweHPG1NzpcvbzKP/9H/xv+7b/93+LnDqPpHCMdNre3mI5HvHf7HUb9Ht/45rc53D+mUol49dZNatUqrVaDIp8hgEInBJ7i8qUtdjng+Li83tdeX8NxwfMlw5GDkIZ+/4CbN7bRuUc1rNPtNHjltRsc9w7Jc0Wt3uT+/cdYaxkOS7rL6XxKlidsb6/heg77hz3yzOWP/uSndNp7vPradeqNgKc79xiPxrz+1eulbo/M2bi0gh+5NJtd6q028Mcfd8n8pX1p/Eo22Z+Gc/6lob0f5Kj8AjgQPktHx+cBFPmEdfhEuiLv9xZ+CvZJQIXPEoj4/Nkn9Df9au2jOFnPnTNciEB9v30WF/scAPO35wB90TV/XI/lEowT73v7pedbgCJLFgGx0BKxjgOeB2GAqXtkKx7xqgebhmA7I9qc0WmNWYlGrAZjQpkRyBx1piVywZb++DP/2IuJpT4PLnR7NoS8vzYXh7lfTQ8pS5HYpSQyYkGp5UiD42ikq7G+wQamBEZ8gUolMjfYfBEgLsTiMbx4X16CaFzsK89Qa73sij8IoP083NEPsA8Ddb7gJvgIQ+Yyo+yXLmgx9jzz5vPHfLzTfqGBEUc5Z04WKWUp9u24JWAiJQqJMQuKKaMprEE4pe6Cclw8T2HynCLL0UbjLlrD2pL2wFgDhUVYiaEEDJRSZcQunE2ijlN+8czBJOXCkWOQcglsSKyVCCERSLDqLPvkTFRdLf4ukFZxltZcnJ1vea3nUbRLaSMJlLomUkkQ4Lse6XyIHyVkmcEKh2WUdhzHzOdzjvYP6J8eM55OkO4CrRegC4OwqhS0FQLXLamy5smc/mAAxuJISVGkSCnxPBez8KsnSUInipglMZ7nlaCJXwIMcRLTbjdKMArLbDYlnk3xqg7xbELF99nff8R01MN3Xeq1Ns1Ku9SzyAr6cUyWLSOLKQEaAfF8hjYWzw/wfZ+BNuzt7VCvtdja3KDbXSGoKKbTCUHgM5vNmCcxs3mMXwlpt9sMBgPGkzGHR0el/kLgkaaGLPf4xnd+nUmR0+l2QTisdTeYjcf8h//0n/j2d75F1Kjy9VaTu++9B1awt3fA5tYl7j94SH88ZB7HTCYTtre2MYXhzr0H7Ab7/E//1X9NbzjgH/z6b3J8eoLrOvyX//K/RsmC4XjAPNW0WiFIj9FkwP2HT9EGVtfXmM5SLIowqFKrV5nOBniuwHX8xZ7RZzSblqmNQFSp41ciZvEEY3OiKMSKMsrccTyEFQv9hZKCByHQhaHQBa4j0XmBthahwHOrRGFE5IfEhaUaVBgnMUlhSBYCw4UuOD09ph4qZDanWvN5cu8JtUaVle4q88kEjKFZ8bDS4cartyhEhUFsGE4y2k5IY2WL4yd3SadDsiRn2BtweHhAq9VgNutzeXsDXSQU2RzfVSTzGWurXRyp+OlPfwoGatU1KmGFhw/u02p3QCpGwwmuGyCFi0HRaHZQUi4ykQytVgdr4PY79wjCCnmes7a2RiX0UVgqnsNoNCGIqmAs4+m0pOXxFWHgIVCMhkNCz8cUBVK6eK5Hv3dKZj26m1uM4zILazoZstptlPpH85jRYEi3HgCaJJmDcpHKRZsYbVzyPEUJQ+gHREHO6cEBUqd0ui1Wm1XmPnhYimKKzeZQGFpuADqDeEzT5LjGKzPLKhJpFbbIUUqiPBdjJLrIURQIBSzo8szCMW1sgck1udG4ONRbDb739deY/ug2eTykEtXIpaYwkFtFIcvYE7PISBJSIIVajF8SKTWlvo3AFIbxZELg+7SbDbK0pEbqdjsYW4I0xljMYvBUTqmsVK16WGMYjxKEECSJLsGeRSSTVItMlQsL93LPJAgDSa83pnd8Sq1aZW1tjawo8AKXbr3KcJji+y65llih8AOfeOF8L6zhpz/7KYNeD4CVbociS2i16jQbdXzXod1q8eTRQ3YfPcATBdNhj2ro0mxH1FotTvqnvP3uXQ6Oemhj6Pf7Z1kbxgqSeI4bVhbASJkVphyBVRZTQJ5rrCkWoDfkhca47tkzbHSB1sVinjIYU4L1UkpMUWCFxVlklWhdOsCDwCfLcpIkWVAOughKqipH+aRpis5ywjDEmIL5fI6AUlNDKfI8Y21lldPT0zI7aqm3tfhZAh1CLAGqc0pJu+gndrmwluKZzBGsPdsgaG0x1qDkUpvGnlGAFYVDo15nNp+Spime5zIcDul2u+R5jud51KpVBJZKpYJSitlshusqwkpY0kAKSavdZnNrlcO9HX70ox/xm7/5W1y7do179++xsrKGxXLj1qsMR32yfM7q6iadlQ4bmytkecJ4NqTfG4IwnJzsUwk8rA0RQnDnzl2+9fWv0Wk2+OmP/4YbN27wgx/8Jn/2n3/In//Fj/F9n3k6w1jLq6/fYjqbE4RVnOAmv/f7f8iv/dpvEQV1jg4OKIzh/oP7rK/fxPUCOiuXabbbrHVrrHWr/NkPf5/AdcBK7rx3n/bKBkU2RAjJztNjdvePGI5PiDrw7/7d/5VCu/hugBdFSCtZX9vkvdt3efLkCf/8n/8LTnunjEYzskwThAFCGH79N37Aa6+/yu/+3n9kZ6fCZGQ5Pk6Qqo0mQPgus2LGtc0Gh/v7iKzJZDRjc3ODf/Tbv0EyjZnNR7S6db76rWv0xwVv3X7CYDDj3/z3/4bHT2/zZO8h/+Sf/gZ//Ce/y2w25n/53/13/L/+73/E/qMd/lf/s3/Nyupl/nf/h/8Rv1mnyFOSeM7e7hOuXrlMOp/xgx98j+FghBSCG9evMBoPmE4GrK2t0B8kDAYpzVaD116/zre/8xXSLGEzrWFIWFtvESchp6c9Op2Io+MDBB61WoX33n2bybTP40d3eOPNr9NqdXFcybWrN/jTP/9zfN/nau0S+/u7bG9vk+Upjx4MqFaabG1voYuCXn9KWPFYXV8jNwWpntHprHNp+xJvvf0W+0cHvPn6a8zm8SdbNH9pX9pnab9Kb+nSkfhRoks/L/ZFqOPfZ/vy9nxkEy8AET4RuPVZ2kfNHnlZ9PIF6tdPw+xZXRZlvvygT63MD7ZPkh3yYed6+cfnr8X53wvUWbgO/3/2/utHkmzN8sV+e2+Trt3DQ2VG6szSdc7p07pn5t4L3h5ySBAEXwjwkSBA/ikE/w2+EBe8AEECl+DDkOyenr7T3UeX1qkiM6SHaze5BR+2R2RWljilTonT9QGREZHhZrbNbAuzb31rLeII04qx7Zh6EFLvSMwlR7hT0dpcsdGbM2zO6UUZDVUSC034lMn6J6/dkwT6p4lqPZ03/e7T6eKZ70/is5gk32yca9qsS9LOM9xrP0u5ltQKpEUGFiKHjRw2foo1UnoGOlb4nNL6PftJv3/qHD4xHs+T3Ou7cg5Wfibr66l9fZ34NgHRrxJPXY7zX7/v8Xlt/Eav6jc2fz2JHzQwYqxGKYlxjjRNSRspdaV94nu5pNfqoHWNlJKiLNC1xcWKUteIICDtxJjcYoIQIUPCuIURDmsNFu2N2RVgwazBCWstcp2Uc8Ivtlrrizb5qtZzQMMi0UjhE4DWgJThuurWrMe79cnIqkJGypuLAMI4cPVawst5I6lAYh0+0S2Urw52Yu1FspaiWSeHcJ4GtzHo0e71iCqLExJjDVr7JNn29jYPHuxTa40UAmP8Ode1xlrIVyVpmpJFGc6AkIIglJwcH3N6espkPiKOPRCVA2EYY4xmPpsx3Nz018JocIK6rum020RRxPh04tOgwtDvdlnMpwzaQ/JVxng84tbNa7h6C6sty2XGYnqGVIpmK2GRragKTa0ryrIgiiNUoBBC0Gg2wdUEgaLVTHCbGzgrmU1H5NmC7sAb4M7nC6zzElVRGDMYbCKkYLi5yc1bt0iSGIfl8eNHOBGgTcoiWzCvKoRSTKZzpFMcHZ5w6/YdfvbzP2H/8T5n4wl5UZLNFjRbHT68+xH/9t/9DdPFnLKqyLKM5XJJFIZEMuDxo0e88977TKYzGs0madrk8PiIa1d3iSPFIoh4sH9EEiWcnU2wuuLGrRcIo4h3P/gAay1RFFDXlkeHRwQBdFoNxuMDwjAmiRLGozPiKKLf7+JkTa6nLJcTkjTECYuQjiSKvQ8GAut839LGEIbSJ5S1wa39b6TwFeW1teuEpiKKQowTpEkLakPa7BJHCpe0yeZjRqMTpK7oNRpcu/VTlqs5mYZGp0szChiPTrl7/z6be7fJqpp5CSZIuH8yoak0f/bKi/z6H/6/tNpNet0+W8NNrl7d5b133+DDD2dsbvS9OXgY8Nvf/Jqre3tc2bvCzu4WvU7feyZY43Xgp3NGZ/4+/fRnf8Jbb79NnMTEcUqRZThrSOMmUko+/OgjdnZ2aLXaDLeGvPHGGww3BzSSCGEioiRmu3mJUAUcPN7HWlCBgsqzZprNFIxFa4Oxjqow9PsDCJvUaxDk6OiY4aDD0fExsRJYpbB4VkNV5khpMMKDgCoU5OWSOAwQzlJXmm6zh64FZ6MRUSxIkwglLY00pijA1IYkiairmkgF1FVFJCUK4312nMY6532CgoCiKIiiEBmE674gcPhqfyEF5pz7FoCwMB3PeOXnt9nqtRikMQeTM3KlMEGDWkYQpogoRagIY72PTcD5nCoIowDwfbiuNLo2tJpt0jTAGOtBJQdFlhOlCUIKQqVAKqSS6NpfK1PXLOY5cRQRx/GFdFOgwDqDkl6WTglBVdf4VnhvnMdHZwjpuHz1MoFSOFPT77YRgSVb1MRBcMHGaDQTiqLC1BWNKEJJzWI2ZzqdkCpHlec8/9xf8stf/YLDw8cMr96i02rwJz99leODh7x46xpHB4/Zv/8hRq84G5/xwYcfsP9wH1REHKcYY6iqag2wO6I4XoMIHgg2umI+m6CEJY5CJIpOIyHPKmQgScIAU5fIKCIKI+8tUhsWixlSSn+O1nuNeOVHS1XkRElKmiaUZUmWZQRBSJqmOOfIygptDHEQYqxBSYF2ltoaMIZer0eRZ1irUUGArb2fSL/bYzyZIAPveeJ48vLsTeHBWr9+nkt3+bUTWK+lzrq19KSXxRTrB23fP9fPzdZ4HxXnKKsKlQnAEAhotVpEUcRqtSKKIjCaOAxJo5BASabTKZ1uiygOcBjGZ3MG3S5GV6ggZT6fcXy8ZNDpcP3aDX7329e5d+8h1jk2t4Zk+Yr33vuI3UvbBMoikHS7fbRxHB4fs1zN6XRaJElI90aXOI4Yn53y8MFjNgbbnI7GfPj+ByRxwnRWEYYp//bf/K9YLCccndzjxs0t2v2U2eyY3lafxWLGzTvXUarBr3/1Ntvb25yMH/HBh+/R6XVYZHMG/asMG0NmiyX/8i9/T6BK/uavfsrepS2ajRav/e5dVqucy5d3GY1mVJXm8tUdXvnJDY5G99m7eonH+3OyxQLV7pIXJa1myKuvvsw777zD715/jShMOD4aMZvPubx3iTAR/Jd//jv+u//b/4VrN2/zJ3/615wcjwmDHcKmINeS2WJF2rqBkwGVVbzxu3dpxC2uX8954723OD04wShHVlc8ODhgNLW8/s77vPzSq3xw/yNu3bzOm2/8M7u7Xf7kJz8jz1dIteCv/uY5PnjrjDiqeP65G9y6eZ390TEKy/Uru9y+eYWTszOkCAgDgTMV9x/tgy2JooB2MybPJlhT0Gw1mM+nnJwc0m43yYsFQmleefUWR8f3kRI2N3vEUZe6krz/7iNe+90btDswnZ8iZMDxySOsNSwWc45OHtFoRKyyFUJZwjDg0aNHjM5OabXaFCXs7W1TVSseHzyk1+/S7nSYTj/kb/7mZzgdMDrN6PevsDEcUFcz7j188Ad5pv4x/jXED+G1Gr7U6/P3JYHxufFDaCP8cNr5Dcd3VrH/DcdFoug8D/EtHvpblK/5UiDMuZ/HRY78qRTjJ0hn7pnt3GcnTr9kiGf25S4AG54wLs4Tw196Tvs9wMRnbfOFPvKpqNHHvn36bj9Zve1359PvSA+MeFBEQezls2w7ptyI0VsKvWtwlyvizZxeb8l2c8YgXtFSJTGaAC9r/Gl+Ip/9y5PO4H/6Ixj3XzOeLroXFwDJ+Zdbs0e8GbuUFqksIrAQOuwaFDmX05KVRCoH9smt9l386T76GYyBZ8faZ42/b2PN/4Md90vQGJ5lRfzYVb9krPvcl5jDf9DAyJMKU4tSiiiKqCuNlF6q6py9EQSBry7VGkRApb3EETL1yRilQEgIFErAejyDlZ7VYQXKKexaZupcTgsBYi07ct4eX+XrARRn/LbOGazxlb3g0NqgpEQJf1hdFIBE5xoZxIAgEAYhLFKCUAIkCF1foLk4i3Nrs+J1VS1S4kyNn40soVKEUhFHIUYCKvBV384ihWB7d4tmq8FGv0+pa7StMc5SVTXWQqct6fU7jE5Ga415f35VUWCMRleasizW/U0Qxx6QOjo6otvvM1vMSJIYYy1lUFLVFbquUMon7zYGXaRztFoN4ihG2Zp2s0Wz2SBb5ARK0Q/azKaWTreHDATNTpOTgyPiMObyziZlXbJYLml3OuRFQahClosF1gpazQRj4OxsRpLGnBwdYZwlzwvSRkqj2aTRbFGsVlhnieOY8XhMs5XS73W5dvUKlXaMZxXTrGYw6KNFRBA1OTk4pdnpsrUxYP/RY8azCUZrFosFk9EZqzjj0eEBl69f5c/+/M+pdc0yW7H/cJ+93UtgHVtbm0gHta0wFtq9NluXdnjrzdfJVwv+5NWX2Oh3KCtLtlrQ67R47/2PMM5xNpnQaKSkSUIQxsRpC6tL7j84YDAYUJY108mIOE4I0yYyiChrL3/TH24ShgJHjZTOe9OY9Qq29r5BeM8FYz3MZ6xBCLOWQqoRMkZKQa01jhAlIS80SgWESnlKqxA04iab1+9QZ0uOHz1g4+olhAqRsiKwBbPxGYGt6SQBrl4S0CKNIpJOg1ZrgFlOOT54hCRDOkO2XBCFimw1J21EJFHI2eiUXq/HRx98QCNJGPR7PHr0kDRNqXUJTtKIIx4/fkxRaox2pEmT48MTiqxg7/JllosFjTShrqAsKuI4pt3u8uqrPyXLVjx6/JB2u8Hu1iZaVwhrCcKIqq5pNttc3rvKeDyi1hWNRkqn0yZQisVsTlHkNJpt2u0GRgWIKEIIyebmJo2GNwe/fesWZyfHmLoGPOMMYXHUvoofiwo8c63W3tBcl4YocgwHWzSLkPl4hi41/e6AXqtHJnMWiyXOCsIwptaGIIi9wbhxhPH5PClwxmIwOCUobY0QypPYggBnHWbNRrNrbwcpA4qyZGNrlzvP3SEMBY1Esdlr0uw3cFGLx6M5MooIY8WiMqggwKsB+oeuQEmcsazynLo2BEqSJglx5AEcV1tarYhsGVKWBc12i3NTOqMN9VrmKwhCqlIThaEHhpSkLtc+GaE3Kq/LGqUCWDPsjK1ZzJZoo+kPujQaMUYbpBSkjYi6NhSLfM0sDEA4tPEyhkkcYANJKC1FnmOtIQwUkhprNIvZgvHpmO2tFa/99pdMCs1seoayNY/uvoW0hm67g7WO/ceP2d8/wjrpPZ5kjcGDtt6HXiKl5xxWVYUSAonh5vWrlNkcXZfUlSErVjTSlLKqCAIFxqHriqry/VEqSb0uEiiNJk1iqqpilWV0Om2c82brRVHQ6/eIkwaz2YwgCNbASo0QUGtNHHsZKc+0SHDO+8L0el3iJKHRbPDuO+8BAhV54Looyyd08IsHu6deCs/Xc/fk4e/pjzksbu1VooQkCBRBEFwUFwjn56tz6UxtNFUpWMmMIPRSjlJIGo0Gly5dIggCgiCg2WxSlDk4b24vhUCbmiBUfp2U63VttWC5ynFOMhxu47B0ul2Mtd57qyo4PDpkd3fI1etXMbbinffeZDwdcfnyLsvVnIODxzSbDaqqpNlIaLV63Lxxi7ffeYNssaLbHXB4dEqadLl69TpFOaY2gpOzU/rb1zg8PqQ0miIz3L17wtW9F8FJNgab/PTnr/DOhx8wW+ScnBa8+94H6NqDhL3hNtnqjFUtOTid8dEHv+Tm9Rv8z/7Dv+ef/vmfeP31t4jCJiKQ1HZOqEJCEdNpdiiyCVWeU9c142LF8ckpm5s7LBdLnM1ot3rcvHmbdreJNjnRAhrtOzx8cMRyqjk8nNFtb7Ax7DGenFHUNVkGdZWwtXWdXl/jtOXgeEQ7bdHbGhAKwXg+4ezBKZvb19nd3WK1miGF472336eRdHi8P2IwiGk2ewwGm7z3zgnLouTho3dYVRFOWna2h3T7XUATBBGYmsHWBm+8/hplWSFx1DpnPl+QJiGdbovrN/awCKI45uzsjMViinWWzUGfIIi4efMW//iP/0irlTGdfMS1Ky/QbnfY3t7hpZcukTQCHAEPHj5GKkezFTOZjMiLJR9++D67ly/TajWxtePy5cuUZUUUJIzGI+I4QoiE8VnOhx/cp9vbRtcJZ6Mlo+OCXncToxPmqzFB2PqmHqN/jH918Qd6s/6mdvt1PCa+zeN+4f1e/PM9Dffx5n2fm/pjfPF4ukr7j/Centulf4kN+GKAwzMX7JsCez6FteL99s7vkXgCjnzpG/bZTIOvFefX7BNEiy+QpP206/Y0U+TcV0QphFK4MMTFEbYZUfdCyqHCbEO0XdPcyugNFgwaC/rxik5QEIsaJb0ssFy/GX7xs/8kc+Sz48vcC/HMb+cslc9Fjz7j898eyPhsC5+C7i5+F8IhhUPhUMIhlUMEFhE6XOgwscREAhVKXOBwRngTdvsUsHHed877+9NHvQAHL47Ik3fEz7p+3xRI8WU//y1PqM9cry/Wm75/8UNZhn7QwIhYQ5HOOYJAEYYhde3NpOu6xlzo43uPkaIsEaqJMYbVagV0/Vp1Lq7uaRHrdcCj2WK9KDjj5/BzSQ9xDo4oSbjWIr9gh1mvge6sRdjaAyPaoaRZS8coAgnOGc94MQYVJ1R5jXMKbS21kCi8FrnAksQhQtg1W8Tj4s56nxEnFEoZhJJIU+B0idaCug6pqopz8UJjDE6AxXrZqSSm1hqjNWGgUIBegz/GONK0Sa/bw2vRaxwOKXwSrNNpIwNHWRWAwxpLEqe0Wm2fRAPqqvJG3FXFolqSr3K63Q5Yn6i+fHkbW9ekSiGFYrXMqMoSEQRIKbC6xmp/Ha3RpGkDqwRbGwOm8xm6qgikZPfSJVaLFZubW1SlppG2MAacE+RZyeUru7QbDSbTKWVZMej3fJIXx3QyRkpFo9WkqkvybInWJaauyPOcyWyGlSnEbV/N3t/i6tWrKELuvv8hnV6P+WJCFEa0NwYoqUjDhE6zzXBrk3a7CVgePnzAfLlgNp3RbKQoB6OzU+8OI3zyLSsyltmS6zduejmewRBtSvKyoq40J6cjTk9P2dgcIqWk3W4TRSGLxQKlBNI5kiSlLCqiKObynSuEUYwFqmzhATzpHyO0NWhtCANBEiqcFID0DCUURhuQ1tuwK3+tDOf9WiBDs5bqsUSR4ODwiE53gJKCSEJR1DTSENkQxApcECJ3BzibEwiNMhXz0SGbnRZhIrBlwtGDd9jYu43IDEYsQbTpJ2DrFYvTj7j10guUxYLZZIySTQbdNqGSmKpkfDqi1+mxPdxktcoIQ5/4fPDwIcPBJqGSTGdzGo0WSilazRbGGLa3t0iSmCzXTCcTpPCgxOnpiJ2dXSZnY1arBYvZjGYroS4L5ou5N5ZGkGcZi8WKOFBUdY3WDmNraq3BOozTaO2/ZOQoq5KydKi0SRRHPP/885TFCoRPxuXaIs4BTKNRWOJAooUjLzKkVGgHgZMkSYoxkmyREYUxkYvJ5xXKZigXEwYpUWCxzpFXNRBQaotdV96Xa0M1Yc+9KiwiFFjnCEIvK4YwWAHGOpT0Jt9rhSNMoEibKQ+PHpHMW2xudDl9/x6z+Zxmf4eICCkstqoRRiKkwmpHoARgqaoKbTQSQStNiMIAo6HIapJYoVRIVVY4Z+m020jhKCvNhe24A+EszlRYU6+9IGrKIsOuWXymFlR1QV3VpI0mujZkRUUUxySJRAUtpBJUVU0YKISA6bzAGEMoBShLWZY4J6nXYEUYRp5NGECeZWvPJUUoLM1GShqnJGFCt91iUeXURc5ydsLho/tIW9NKmly5cg2TZbz/wX2KwmFkSBz74xtrvZk6rJ8LPQAehQHCamaTES/fuUFjd8jBo4e02m1mswXHJyOcNohAgXPeo0MK8jzD4lCB8uwwKcnL0q9VArT1oHBdVKg1+CGVRGtNVVUEQUCaxgghyLKMPHeEQUAgBbPZjJ3NTYqyWI+rBp1OhySJOR2focqQWte+aODi1cWu18snzJHzIoePgSTr+FhFlwODN1v3spICFXiXEWM9MwshqLV/bVZC4KwHeMqyQEhYLjOGwyFRFBHFEZubQ4o8p8hzbly/ztFhhNE1Wvs1oNtu0+30mI0ntFodtPZM1fl8Rq1Lrl2/ytHpIffufchkdkynm5IVSybTMTu72xwcHfLgwT2MMWxsDDwTZs2C+ejuQ6bTJdubQ46OTxCECBlz/+F9kkSBUNRa02xtUOuUt968TxgmYNuUpWNza5P7Dx7wwb2PCNN07Sllsdaxtb3FfD5nuLnJCZoPPnqINSWL2RkvvvgC4+kRVlS0u10OD2YcnUzoDgIC1WZ8miNljNOWZisiGTS5fv0as3nBeLxkPisoCou1BaPTM4JQECeCKFbUumLQ63NytEAXlseTE1bLJTduD9naucXx4QKlajaHGyiRYNAcHIy5tKuoy4xAKpIopd3ZY7XMuXljh3fefJfr128QiIDpZESvvc39ex+iTcHRtuXDe2Pe/eiM9967zy/euE+/P+DajeucnBzxP/6Pv+Q//C/+Jxir+Ye//zuM9f231WqytTVgf39G2gwZbnZZrJY02326vS7aGE5OT+j1eoxGc37z29f4+c9/wnxeMzo9xrmAbPkBLzz/CteuX+Oju+/RaEZcvXaTXq/Lo8ePaDY7ZFnB6ekJrVYTpSRpmmCMZrVaMhj0aDRSjo5GPNqfI5zi8cMjltmMv/zLv+D0uGI+hbJICTb61EbjSNnYvPq1n59/jB/jexff1Zuze+b7N77j73F8smLha8YPNBP/A23258YnJGyeih/6ua7zNN+4fNcXBlC+7H6fYZ987v7/QOyPr7ur85eSz2r6ZzFFWOfrnpHQujBbD7zhumtEmHZE3Q8otgVyV9PczNjuT9loLxiEK1pBSSRrQgwKixD2CSginmnYN4gvfB7w8ilclafgjU9erE/b0wWO5J6V/Pq249mL9sSEXQqHks77uUiLkhYbOFwENgYbCWwksaFDGIfTfrsnF+OZirfPPPQzbfg0cOSbGKdfBfS8OC58rUlUrC/KF93Fs8yRp8N921Dal4+LVn/OHPF9iR80MGKdZ2CAIwxDms0mB/UhcRyj6/pCyxy8+Wqe5ygZ4JAsVssLwOBi1K4rThHrwXxBwfFoqS9o9Rr3wjkPnAieLHbncz4SIQHpdfMx2iPBTnm5HSEJFL4yX0mEUYgwJJYRTjX99s4RCAd1jq1KnJJ+EnKVr4rFMz+0NlhnqITBOYOwJZiaytZUNNC1l/IKwtAnp6QHiYQSBEIhlCTLM1qdFnVVYZ0HP+q11EraSD3jJvAsEyUFeZ4TSEkjTf1kKb0XRavVZmMwIAhDBoMe1mmMs16OxTiqtEFRFkwmI8ZGk2UzAhSJUrzywi0ajRZZWVEUhU8sG4MUijhJyPOcKAkR2nu6NJIUYyyLVYZTEWnaoq4sUZggVMjs9IxG2qTRbKCiiGy1IkkiNi7vUq8yFssloVCotcTLZHxGEHgvhdHJMYs4pqpLtLYMLw0J230Kp5gvF6xyw2w+Zzwe02o2eeGlO4xGJ2RZBkJgrKPZbJFXJfPpjNlsxvb2NpPJhGajwWQ8JpTeY2FnZwch4OGjfaRSxHFEVRV0Wk3iKMaUNbdu3mAxO0NiuHP7JhbH8fER/X6Xw6PHtJpNpBJQ+/tX5EuqKsPqirqqvH9OGOKcJQghCAStdkpRrDBGc/XKHkkcI4SvmgZLWVcEdl2/IPC+BFLhrECgsbpGiwxpQ6zWzEf3aQW+2jwEYlGQT2YoaRDKYnVOJ1aMR8coK4hchFqdkdVTQgWr8QnvfHSPP08gsArKkOVUkJuSajXhUi8in51yNl2RNELKfImpLaGStNIUoWG5XKGEoiwK0jSmyNdAnBAcnhyjogjjHIONoff7mIxJ05i6zLCmIlCSZrPJeDzjdDTi8uU9NjY2OBsds7O1SaOREChBHAZrNoohjFOiMMTUFTIIWS2mkBkajYokTpgtZmxv7aC1Q4QhzgUs5yUidsymM0Bw/doNup0uy9kUqRRSKRwGJSTSCZxxWKdBhH5htJYg8MwcawxRqBBW00lbFFWJLWrGp2N6vR6dZpusyLFOUJbVmhlgsc6sK5QtQjiEsBij/bF1jRV+LpQXRf1uDeKBxnuNBGlE6Wr+5Ze/pNsbMty+TDONcYWhXC0IG33UWrIucd4MnMBRlwVlkYOSxEmCdeJ8GvdANo66shR1jjEVVVlSxiFID+ho7eUCozgmy3OyVe7ls4z2ck5GE0URYRASSJAoTo8ec3RQs7m1zaDfxbqAsi4QhFgrCANv4l5WJdZZHJYwbniQ2DqCQBLFCm285FMgFIHQpBsd7ty5xb13VizHU3aHA3qdzhqwqZHA++++STMNacaK+x/dR/cGtJsdTg8OyfMSESQEQUijGVGVOXoNJIC/7taCcA4lBWWR02o0aDUSpqNj8uWcSztDrl7aRUmYzBZ0BxvEaZOHjw4xzlGUFUEU4Zyj1jXGWi+nGAbESQpCkjaaWLxfl9aaLC+8LJyB2tRY5xBCkiSJ9+uyliROyPKMoi4xxqC19ySRUtLr9zmdjKnX67BUirrWiPW89yQ8C/G8Psg/564ds55K2DjchdfIuUu8WwMMrA3kjfXMEeOsZ7JZSygVSvljCuFlxKbTKUVR8MILz2F0jTWGMAg4Oz2l3Wpy7dpVitWKutaURYXqKZrNFovJjFarzWIxRwhLHCtqq3n0+EOmiwkq0JRVzcHRGXmZkWULgsgXErQ7HU5OTpAyIApDPvjgHpcv7SJ3NxmPZwyHfRqNhgdjxzMGgyZOwCJPWKwm3P3olMmZoMwbxGGLVmuTbmeLx+qE6fKUwWCTrKgpyoyytFhjqcqMRhIxn83JVznGVjz//E1u3vh31PmMN95+l8VySavb4UrcprYlloCqckgZMptNqcoCpbqMJxPysmC5LLAm4MrebZxVrFYVv/zlL8jzBXEiyKsVRlucjVAyIAgU1hToqmRzMMDYU8YnI+Kgx2u/ehddOm5cu0IQB4xGY2aTE37605/SSHroEvYfvU+3q7h5Y5PJ+IheZ4hSgtFoTBy1ODvKePOt12m1r/Pqz17lV7/7vxI0Q1r9HnmZc/PWDbLSUlQlrU4bKyBKY/YuXWY4HDBbzOj2O0SRxAnDZHpGlDR5+PAh1jquXr3OtWvX+PDD93nrzXd5+617RGGTa1d2mc2WHB+PmEymDDc7PHp8yKs/eYlWq8Pp6ZTR6RlZVrK9e5lt7VnE2hjqyvvaLRdLbt++TpIo6qqLsg1Wy4JrV6+RpIogCHEuIQobxIMG2krOxmcU9YLzWpwf48f48vEHeiEVX+Il/19D/CDkvX7o8Q1e4z/W2/VdydB8SyHWCcZv/JQu2Mzf4I4/5nny+3b9HSUOP40l8qW2/xxQ5Hzfz4IiYYBNQ3QrRPdC3BCCrZp4q6DbXzFsLhjGC5qqJDkHRdaeIt4c3OfsvlyTP37xP2/bC2mpTxtKn9zV5+7zi1T7f90e97E2fYFb+enHOy9cW/uLOC/pr7Ao4UERpSz6XE4r8gbsNhbYUiK0RQQCZ9aeyee50i8TT4+RzwIUv0X5vo8fd/3P15p41jfni+5DXPzzJD4BOH2P4+vOLd9S/KCBEeBCo1EpRbvdxhhDHMfkWXbxGaUUUq4TM0IgA3VhFiuUWOvgKXAWxBrUEGJNAcNP4FY8NUZ9MseX01s/uT+tWQnriR+8kbrfpwoUwqzFYIRbV2mDiAK0sZRWUeiK0kiCIKLTbBLETWxVEAiLdBVKxeA02JrQWgLlq0ONEGgDwkjMOsGoQoWj9klNJRB2nVSSArmWD4uThLzI6Q96lDVI4Q3my9qzbRqNlCBQVM6zRsCxWq7W7JvzSvMA58BaRxLHLLNsbdgegtUYbUiSmG67w86lHS+dcXDAcpkhLBxMZ+wM+zQiw9nZmLocMjqbgKloJE0aaRu1rlQHh64MSoWoQNISIfNFRhU5VBiQZTmQU5Y1Wi9QSpHnOe12k067Q52vsKam3+1Q14a8yCmqkiSJvNZ4q0kjDuluDgmFQIUhIkxZ1hJXWjbSBmWtEC7ksNPh8eN9rly7RFkWWOeoyooiKxiPxoRxwHK54sqVK0ynU1qtFmEYYrTGasNgMKDVaHJ2NiLLVpR1xUsvv8x8MkNJAI1SgjhS6DhACoW1NUW2ot2MWSzGtNKIF1+4jTEVtiqJowCHYLXMPIsnTZnNZv5ZRAgclqOjA5SSxHFCrnNAIoRCKekTjMaupdPE2jNAXoCMzoIUCmdrpCxIZMVseszq5AMOFw+49NNXEHnF4cMPcSbH2pyiWNDrpCyoKYucZtQmzxWJA1ta5lWNcBXdBkT1GOkcIaEHs+KIejUjUYq6yBC2RgnFcNBmMT9j2N9kOs3QZU270SYIJO32VazzsmZx0qAsNEEY0u3GCKFI05T5bEYjjQgCicDgbL1mmUUIKYjjhH7f6/krKYmjkOViTl2XJKk3Tg6jiKrSLLOc8dmIJFI0khira4qyJG2k7F3ZQ1cGGXjJvbwoaDSa5LoGIFABo5MRcQDNZpNGo00oLWWRkWDBOZ80b3Upa+e9NawhEAJnDbUuPANN+IdPJSRBErFc5YwnY7bjHaIo8swAXaJrTRKHnkGgHHWlEXgvEWssgVSEKvDnJ/0DjTxfeHWJXMt81cZRO8VyOUWqmKhRMZ0vaPeGlHrup1JTU63mWKkJwgZ57tBWI5QgjgLPusOuAZE1wB2E/r+cwUkvAabrHLV+SSmLYs2ggKIoMM7SbDYIpfKm9AqaaROAqiiodElV5giraTYidreHFGXNcjEjTht+OlzLMrFOrgdhQLfbxNbqHNe+wM+l8A/JZVVSmRJRrxgON9gPQxCwXC5YZXPKakkSewnHTrNBt52yffMqd65ex1lBtzdk/+59qlrT7iRUfrihtV6DCXhJyDUYJZylKAqc1rTbDcoip65KgkBgqpJuJ2Vro4e1mufv3OLkbIJSUJWaMAzQa5msKIo8sL2Wl2w0GhRFwcnpKa1Wi7woWOU51lr/e55jjSUMQ6z1BQhae4PzLM8Io4j5YkEchuTrezNfLJjNF2sQAwIRUGnjQbenHt7O1+5zQQQpJBfSCM8UOfrKQA8UnbNozl+I69pLhJ0DLMZ66TlnJJXSxHECSC+5JSRZVpDnGWdnI9rtBnmWUeQ5vV6P8fiMVqtJHCdr4FAxGc/odJrs7OwyX8wufCfqqqbRVByfHmJsQWX9eSuliOKQTq/FMpuT5zkbwwGNZoPlIkOpkJ2dS7TbXTaHlxidjDg5OkNJQ5qmXLt+hcPDY2bzJUcnR/T6Te7dPaHKI4b9IdpkvPvOPT58/4iiXNIZ9FllXtKwKnLqsqadpjy8+wHXrt+kWJWkUUpeaJbzBacnpwTK8uDeQ1rdLr1+hxdeucFsOWF0coiQCfNFTlUWdLotjLX0ehu02m1Gow8ZnZ4SqAbLecF8nrFcLKiqnP6gxYsvvcz9Bw9wNqDdbPBnP3+R+3cf0W03uH39Or3BDsZNCIOI7f4Or7/2OhiHQqLrin6/T5lXmGqJIOKnP/0Jw62Ih/fv0mhFdFo9/v7v3uIf/2nMv/l3P+Hq9Rc4PL5HXjQ5ODql079EmDhqa8iKnOdfeoHORp+7H93jvQ8+QIUBV69fw2rD2WTMKlvQ6zW4fOUK7773Ftvbl5gtZhwfnVKWFdeu3cA5x1tvvYu1CmdDGmkfQcxLL96krl7jdDQiL2Y4FHle8cEHd3n0+JBOp0ej3aaqNZ1Oh/F4Ql3VBGvZ1+HGkDAIUUrQ6/SgrtneTJlMR+xe2uW3v/kdm5uSsgjpdLZZFgtmixlRCuP59Ks8Lv8YP8b3PH4Ib/dfIP6IEs//euJbuGffm27xVOXx96ZNXye+JN3nC7E2vvxuv/jxWVd/87G80scO+G3dl09LUn5W4vLzqtY/bcO1j+CFdNbTElpSXoAiLoowjZCqF1APFWqzorOV095YMmgv6ca59xQRNaHwSgoSixTnPHSH/LTm/N5T/zJ95isc4DuIJ6Qe32CxVh/4PPzgk93crd87/XU9B4Z8+nDNGpEOFXgTdhd5n5Fz1oiJBKKWPt9p1v36gi3lPrv7XDTofHx+Wl/7kkyL7318zRN5akyeT2ff6676vW6cjx80MCKEuDBE19qQJAnGeCmooigvPud9RhS10WsZDEVZlD7J4p3RL7TKnWMNiLiLKmaBRUiJXHuIAOua6bUJ+1obfV3nekHtAxDr9jnk+lgCZ7VP0oQBOEOZZ9QqRiVN8qXhvbsP2b10FRM0aUQBjSSmLlcEDkIpEQZ8ttISBl7XxgmBsdKzUEgIKoGMepzMzvCnKZBKYAU+OY8jCkIajdTLpYQhQRVcLFxKKaTwFfRB4KtuHZ6tUemCqiwIk3Wia71/qw2NRoPjkxNv6FtXrPKVT6bVNQU5e1f22Blu89zzzyGFoFyVjE9OCaKE2iyIkiaN3oDmakxV5mRlSRAkSBX4imZjPPNHeZkwGUbEUZP9Rwd0e31WqwzjvMm1NpraaJqtFo1mg9PTI2azGcPhJsvl0ssDKS/Ztbu3xYP795lPJ+xdvsxGu40zhiCOsWHK6fGI2azABZpF7nC1T8zN53M+/PB9rt+4yny+oKprtre26LW7zJczlAr46KOPeO/997ly5Qqbm5ucHB+TthOuXLoMxpLnGVevXKG3MWA2nzOZnnH9yh6vv/Ybfv6TlzCmJM8X4AwPHtzl+PiYmzev89IrLzGbjJlOTul1W6jAkOdLet0eYTciCGJUFIMrkSqg2WwRBIq9y7ssl0vOxme0mgHW+L4aRTF17RP2cRwDjrwokU5gjAGncU4QKIuuS0S4pB3Cg/EHsHxAJ9ng6L1fYLIVnUZEHEgv8dVuYWxNVRm20jbHR8eEKqTR7lEYx9alDfKq4v177xDIioaSVNmCjpREKuLgbEJz9yqtbg/jplze2aAoJ+TZAqO7HB8c8O5bH/GXf/HXxGlIUSwJYsXOzjaT8QIVSBQKSUAURoDlV7/6JS8+f4dr1/awtkLhQEk++PB96spx4+YdX/1uDb1uG10VCGvYGAwQSjKZTDk9myBVyKC/wc7OjmedCEcUeo8DY63vbxub1NqhXUgrDDidriisuJAQWsznDPpNppMRV65cp5EmqKIiFQqhC7QBUxggQAhJXdXkVUYYKKJQYKwGFVJoDUpgJIhQsioyjscnbAw2cNLS7rUpTk+J4oS6rqnKHBUkKBkihaKyOc5KpAKrtTcs195bIljLE0oZIQ0IKdnY2iWtDM1Wj6PTMUkTkqQJckm2WpIAaTuk1ium4xGomKjVIogaWAnGaeIwIooiKu2oa+uT20JgtMMYDxDUVeX7p/P90jpLbTVxFK6ZLA5nDVEYopRnCi2Xc6RzxEnA1nBAHClOTs/IVktUGNHtdjHOEgaKtOn9VxbLJUEYkCQJ00mBc34+PfffOF9HhIA0iTCV5fhwzBu/e51V5kECqQRC1GBz4giKwrCYznBVRaDhzvVbGOMQQUir1aTZTgljiUSS5xlFUazXqODJ2rJ+kojjmMporDXgLM5qL13VSgkULJcTwlDxaP8+79+9DypGigAZBOSrjLquCUIPDgoUDsF8uaTdbmOtZTqfkyQJYRgymUw8A269fro1MJ7nnvWhAkVVlcRh6IEyrVllK+IkxlhzAb5gLHWtPbNjDfJcPLy59UP7+j+stRc/C/fk6enc0FPgaxHOP+fWL5bWrWUr1581zoIFqSTWQZblbG9vgnO0Wk3GoxFB4CUIp+MpvV6Xfs8nrk2tyVcZUaeLNRYZeXAkWxUMB30chixbsFjNkaFmd3uDKCn54N67XL4yYPbuFKkkYSRJGzHVOOcnP3uVPCs4Pj5de9oM6HW7nJ6ecP/hQyyS7e0dsuUMXQsC1WC1rFBEXNm9hnEr7t87oN24RCgDVouSjd4Gda1YZEukDImTFmejGUXuQf6tzSGr+YLHDx5w4/odBsMh8/mIs8ljrF0y3BjS7g4RSlAZzT/9+h9ppA3PTlCpf65yxjM4q5LLl6/S7gx46aVXOXh8SLaqKMoMhGNvb49Ll3e5dGmHs7MRcdBkOp3TSCP6vZTVRov9uw9ZTh7Q3Zzyv/vf/6/5f/8Pf8fe5avs7WyyMehzdPyIm7f22Ltyidd+8wbWeT+YwTDhtTcfcHp6j5/+7GWEKfj3//O/5uGDE6SM+R//8Z948LCg0bCMzmqef/4OTuVok5NlS958+x0e7D8EC2mjgQxClllOEoVcurTL628cMZ4eU+mMKIm489wd/uEf/oXaaLa2h4SxZDI7pddvE4SSzc0d2u0Oi/mS0XjCbLFkuVzSyRKajRarVUmadnFWEkUph4cnXL9+g83NTTY2ttjff+iLKKxDSsn4bEan3WR78xL58pAkDsizBf/4j39Pp9PEyTl5qYnqiHa3x2hRU9uCRvtZ5tWP8WN80fhDZRT+UFnEH1h8V6DIv0ow5nvQ536Il/08mfaDbPynx/lz4u+V1no2Q/xlP/9Ftvm98VSluBAXyeuL431bVeBfpYL706rWP/VzT6ToPw6KPPUVSFwU4pIQ3Q6p+op6w9Ec1LR7GYPWkl6c0QwKElkTrOWz5JotIi6+nmkeT8FM7vef4u9nVHw2M+DL3KLP+6z7Ap/5Qvt/pts8A7d9qb2dszzOr/UTA3bnGSPSIgOHCR0mAhmBjkFGAllLpHa4YK2wY9fX8GLe+QKteravXYyLZ27od7n2iad63HfVjKcBy+/zlP50277HAMkPGhgxNWilsUaAtMRRBEAcRQh8El9r5StSHVRlRW0sgVzrxVvfj6w1HiQRDmEVTp0P2HOkEz/JS4VYszz8X9d+I/g+KQXw9BfnoIlfIIRSfhAZEMIgrMEpRRBJhIqondf/L1A0BpeIOh3qModAkcgAV05wdYFzxhsYG4d1BoHCCrP+Wa//HhAogbMVtc4hiEEpnLNeP76qUKGXjqqNXp+mP9+LJGAYkKSpZ0Lo2gMRceiluIAkTtZVwM6bwANxHLFcLSjrCq01/X6fqqwQCKQVOKMZj0c8uHuPVqtDvzvgxRdfZHvQZTk7wljH4/1HhFIwGG6xnC8RKmY6W9BTEVVliJM2YRiSNAOq2jBbTgmjFtO5TyzuXLqEDEICJbzRqa5ZrjKyVcnLL7/qzZprzejsjKrSNFptTo9HaK2x1qKCgNViRa0rFssME6Qcz1YUhARpCC6grjTz2ZSXXnqJ+WIMQF3XNNKUo9EhkQqRUpLGCbbWFHnOcGODqizJ85xXXnyJR48eEYcRWnuj6PHojH6/z+U/+3PefP03DDcGPHh4l+PH99joNggVJKHgb//2v+b0dORZDMsl/X6HRpoQqpi6CCnzzBt2NwRSC1rN1DOIpEXXnj3RaCQEwSZVVTGdTimLmsEgWJssC+K44buqcaSNBsZo38+tIAhCytrSjAVmdcjo/uvc3OpSrk7ptbYQTYHUJYETaxNxmI7HGAGuCWmU0GjGVK4ijCOSNKbQGltrDh8/5vreZUIpcRbKbEUchgRhSF3VzKYjBBlS1uSrgtdfe5PjgxF//Vd/iZIKazSs5d2klOztXaKsK/KyIIoSzk7O6HZb/M1f/wUCS5pEOCQnp8eUdc0LL7zAYllwdHzMZDIlUZI0juh0G1RVzeRsTF6V1Fqzu71JpzdAV5WvytcOXRZUtUOtpesCKZgvlggREIQBRmuM1TQabUbjMR9+8D7Xr16m2WyAaVPnS4jaAFRVTYBEKkVZlhA4nK7BasJQodbggpACg8EI7xWRZSuCMCSVCculr9zf2BjQaDSoiwKAsq5pt1qUtWcIWQF1bbB42bW60jRS71cg10wirR0qCHEKGnGHl158FRkmyCjm7f/+/053MGQ6m9BqpRhrcE6TzY5xTtEKAlRkybICa3vU1lFUJbkKkUGEtgKcZzsZ41kyaRzRaCbouvbn02wg8B4YYSjW4J1nBLo1wLhc5tR1RbPdpNPpIJ2FuqQqCwIhaaYpZV0TBeBEiNaG1XxFnudoZ5EioSpKlBQIIVEyII7VRTWSlFBVBiUcQaR44cXrPH99wP/jv/vvOTuekaYR7XZKmkYs5jNagy1efuEF3n37PYqowWyx4r133+fGrRssl6u1BFVFqS26zC/mgvPn8HMQQAjhr0MgGJ2dMplv0un2KPMlW5f2+ODeXWargqPjE1TUIAhjagvWWYoiR6wB8bIqLvqLsIIg9NJSaRqjAoUxNbWuiCL/WSUDEL4IIAwVujYESnrmUZqg8PJeSkrquubg4MBfKBWga42nX0IchdT1uSSX8EzLZ9gj9hO+Ih9/cpLSe6Z4x6Mnq7CUnsUkxLocYb0vIx1ZURIoxaqo2Noc0O/2qMuS1WrOYr7A7BjCMKDd7mKt5e2DQ3a2d6lrTZIk1LUmVIosy5lIaLdSjk+mFNWCREnee+81+sOUJNFsbbWA6/zTL35Bsoppt1u88Pxtrt/YwxhDFFneeONX7O5sUNcxeZ6z//Axw40Bs1nGwcEBm5tDPrr7d5yejnn11Z/SjBpUlWZjc4c07lLbmk6/S7u1xcnRjMLWbGzs8Mbr73I2GtFqNTE2odGMMLYkjiPiOGF7cwtdrcjTiL29XZxTNJoxR6cjDDmbm1tMJ3MEgn57QJkbVJBy5/ZVDg4OmM2W5PkB3XaXZqPNo/0PaLU6NJuSZrONtTXz+ZQoCnDO8fjxPjeu3mA2OeGXv/zPKKcYjXJe7be4++H7vPLyc+ja8NxzVwhDxaW9AfcfvE9/0OLSlUtY45BBxG9fe5vj0wNUuOKFV0rGoyOEC7nz4stMzgqysqTVTuh2UiwR7XZMlDY4mxxj4pijk2OiKGY0OqPV7GC1Y1kuMUnM/fv3GW5scHi8oqhKdi5f5cH+Y/YfPabX61OUJYfvvcN/9V//V/zbf/c3PHz4kGxVYa3xa1aR4Zxha3sDISxFMee5nV2EEJ6pVvu1XsqQ+azwQE9/i9HoFGMyms02VWlo7wx4+PARZaUZjycIJUnTFlJKlqsZKoxZZSeIUBNF0O61OB0dfplH5R/jx/ga8QXTKt/nF/JvI9zFP9/Bsb9PF//71Jan4zPa9VWv3fl2X2bz7xMW8Wz1//elXV8zvvQl/iqSWX+A++gL5dbt+BK5469+wPU/33iCcs2EEeLJ/s8BESEvGCNCKZwKcHGAbcaYdkjVl+hNh+rXdJoZG8mKTliQSO1BEWGfSq+d5+g+eYnOT8l6rvmn5tKf/ezvi88S6voit+cJ6PHZ+3gynYhP/O2LxJN9PHuMJwyLT9uXeOZjz/7lY+DIWnZbCi+nFUiLVA4TOGzkMLFYf4HQAqnXrBFrwaxVa85TqqwZJJ+Yfz/njjw7Zz27zXe6Dn7Hk/tTh39STvn9iYvmPS0j+F3JoP2e+EEDI64WECqsNmhhCIMQXVe0mk2qqriQJPHrjGK5zHFIjBUURUlVlt4Y2ngjaeO0p46JACHX0h1rHXO1JpRxYRS7BkKcZ2z4RcA+NTudD1R/bNbggRMCGcj1HxRa1wRJirMO5Qxx0qC3cxWbdHGNPlLlBAG4RYnEQFhiLTgbIIVDan9YKSQ2cAgXENgAayxRHJDGEuc0KvTeFwaQBpQTKOdopinz+QKhgvV5+HMLgoAsy2i1W+tK6QAlJUJAVdYsFyv6GwNWmWdoWOuXoDAOUErQbKZItUFZV17vX4UoJFI4okDy/HO3ybOSX/7il/w/9/f5iz/9GX/xpy+xykOcUBSVJT85AytRUmJFyMnZjCzLODsdEYURjbSNQ6GCiI3tXdqtLg/37zObr4jjmE6ny+HhmCROsVYymeecTVe0Wm2yomRVGpqNJuPJBGssN2+/QBAEnJ4cY7VBCCi1odFtEEYp/cEWuYFe2MTVjocffkiv16GuS/YfPsY4S7bKvLTGKuOVl15ie2eTt997l16ni5SSo+Nj5osFr7/zFsvFkl63S+Uso8kU4bx8zr27d+m1O+TzKQrDtRvXyBZjZrMxg0GPxfSMIJT8yz//M3tXr7BY5bz//l3ajRQloZEklEWNcxXxICUMFLouMEYSxTGmLtB1SRB4b4HTkxFvvvEaceQrhY2BJIk9SKQEURyuK7MNvV5nnYAURM0BLEtu727R63TJFwt05SW84iT17BMlkWHM7o3byCBhY7jFKp9g3JLT0SlSBOTLFbv9Ia+++FPm8wVh0KYyJbUpWRVLyjpja7PJo4MjolBwZW+Pg0cPiWTCNJvzs5+8yt7eNg8ePEQGMcvlgnpWc3lvj48+eh3nHFvb24xOjtna3KTIZ1ibI4RivpyjAkWnP2AynlIbbzj/0f2PuHnzJtgAKQXzRY5FksYxu7s7xHHE2dkZ1XJKI03JVnOCIKSZNlFBQFFX5HnGRrtLnq9otRskaUK9LAhDQRA4qjpDBY66Ljg9PGB2dsL1y5c4nJ5w7colqlKCglApQinQpsYngn2VvXECpUKMMVRFTqvVwhhNHAaEYcCqqkiCgMVsShwp4iik2UhYrVYksQfQagO1tqRpg1rnNNtdjNGESYCmximLVX7Mh3FChaQoa7Z3e7TaKfMs5+bly+zsDFksJiSNmE6vR10sqKqSQX+A0RVVtaDOapRIKZcrrAyIVURRzmkPtwjClKTRobYCpGeHyQCqyhJHTbStSdKAstRkWU673UI4Qa29B0lVVVR1TRhFqDgmTCMeHhwSSUGdLaiLkkCFCOcQWhMEIVpXNMIYiyBqpTTb8ZpZKAlDS10ZAuXAVOQrA0hQAVWxRAWC1XzCUhoe3X0fY0uGgz5pFHF2cuznLGP5x7/7T3x4b5/LV65zejbi3Q/e5+rVPR4d7rMqVoggxFQGZwxaW/QaYFZOoI2fV5XE+w3pwkufScVHD/f56U9eYWO4xXsPTzg6WXIyLRBxFysEdeUtyq0zF68PVvgF6dzSBQeu9lJ5ta4A4YGL9boXKbnWl5WAAQuhEggscajAGJwQRFHk5auEwArp2WW2vpC6CpQH35Rw4OwFAI9Ye4Cde4yIJywqZ+1TIIrAXlQrefk1twZcz/3r5Pm5ufULmQzQ1mHX89Z8teDSpR20NURJwvb2kNVyweHhIbs7OxhjiZMGL7/yKseHh7xw5w5lXpCkMa1Wi4UzrFZLjC3Y2RmyzCXtjkQGCVGquf1cjwf7DxmfPqIdQ6+XIALD9rDBfLqPsRW3b/X5P/4f/jf87ndvc3Kyj6kk7cYG/e42VZXT6Q64cfMOne6A/+H/9R85OFnRbivyQtPtdaiFRihDq9Xi8eFjAtkgSVKKVcWtmzdpNROyfEF/o81gs8P/9Obf8qtfvE633+af/uW/kBdTLl/pscoWXLlym3fe+4iqNHQ7m6xmS2wdcnw6pl7GXNm7zOtvPGT/4T8ThKBkwsZgm9HJhEYjZjgcoJRiNBqRFVO2drZodyMePXpMuxlydW+X5WJCHEmGwy5Oa27cvMmd57YwJubg6D63bl2i022w//CAa9duMiz7aEoKu+DxwRmzieH6tdsIFZE0NUnSo92rSZOUX/zqX7h+9UX++m/+gjfffMCVvV1Wb95lsRwxiLZoJC2GwyFCCCaTCdev32R/fx9dWy8jGSpWVUZdK67duMW9+x9y7eZNPvzoIYP+9lpGLmO4MeQf/+E/c/XqVTY2hugajo9PSNKU4eYG1Qc57TDBOUvaaDDcGjIZnxJGEEaCS7uXuXblNltbe+ha8+vf/JLlsiQMQ27feYGDg8eUNYRxk8nsGIMjiBJWeUW3t0FR5Egp0HbJdJwhheTsQFNm5g/2XP1j/LHHl3wZPU+gfa+S79+j+K4Ake8SiPmGwn0b5/CxfvsNH+uHffmfGtt8/6uNv2icF6t+kb51npj90nPcVwAUvsC+xbod5zKzn8xwfg0Q69nq+0/59auG37X4+HE+IZ/lIQ0huJDRcrHCNEJ0J8T0BWLDEmzUpN2cTprTCXMaqiSW9YWnyHmbzy1LLq7ZxyCFp6r4v3bC+sn2n7+Xz7+Yn85r+bTPPIF9nvz/Fw3xzPePF5t92nEvQIpn9iIu3hzXslriKbYIni0SKEsQWHT4RE7LxAKT+KJcowVCS4SRKONwdg222Ge69pdhEjw9Z138n3v6j5+Mr/Ts8n1Csf844gk4cv7LeS7ga+z0E/P81wd7f9DASBw1aDU7lGWFUort7W0v+2EdgQoIgsCb59aaMIrQ2lBVFaFyFHnlpUUwmFpfsLxw3uRWqPXkZD3UbC8mB4GUT6aNi3AOL6/18XsinHrqxj2ZXCUOVEAgJagQV+aEYYDEUVvH0lgaThCpGIRBysAnkITxVdVe/AeFfIrF4hBOPDGvrdca9Kb0Gv3rXikc3mTbWq8NX1UeEZZekgun12CeJAxDoijCWkNd10SRwhhLWZb+ONJXtJ8zZ/qDnjeDr3zC0q2rBlarjEackKYNfn33lzy495BXX/4Jf/u3f8tyviCQjmarxdHJMT/72U3GsxVJEOCs8xXJKsRYCKOEwcYmoQrpdAcgFPPFitFoikPSHww5PDrk5HTEZDqn1eqQZXMODx+zvdXn5HRCUVriNCEME6azFctlwcZwg7zQzGYj5tMZ21tbdDsdSq0JG13ijiLu9llWNXmu0dawWMzIlksajQZHJ4cMtzZpNlocPHhMGAbM51Pu3vsQEUhu3LrF/oOHOOf1+mutUWHA5vYWDx88xCE4G59xfHLCcNCnLGpGoxE/eek2N65do8i7ROoG1hmKsqSqNLdv38EBjx8/5urlK1iz9nOJPNMjzzLyfIkQDq29Dn+SRt77RUmshrIq2dndptvdYHQ6YXR2RrbKKYrSjx0jGAw2aLYbCOX7flmsvGdBtmQ+GhMJg86X2KokUgor1kl86f0bJtMpy/yUSsNi+Ru2trv89Kd3CFRAVdasxktaSQuFpNfuslxkLJYL+v0uRVky3BygdUlVLqmqgsl4QqAiWoMWb735NoNen9VqQVmuz1dJqqJkOpleJFrrskTimIzHLOZzLu9e4vDwkLN8xd7eVcIoIVAxd+/d53Q8odPp0Ol02B1ugbPoskSIhCiULJcLTk8ylBIEYch0MqbVbrNarViZJUmjAUFEGERoY6mqGl3XyCY0WilxpQmiiDt3brE5HBAFElHXvPPab3nu+lW09f4/BAGlrahqg7OaeM2aEQiiOMIYS17VCCFpNFtoY3DWIVVAXhTEifdWKPWU4+MRWju63R5R3EApxWKxQEjjAVY0cSDJ8wWNRoNzo24nYDVb0O50KMoSKQPiNGHn0i5JI+JoNEIqx+3b1/nV716ntWrR7rRotlKiSlLXOVWW0UhTkiBABAGr0uKkxVESxo7QLjFFTmlLVJjiZEitLVVdE6UJti7Ii5yRKVhlGY20QZUtPagcBOR54WWbtEaFvrq/zAVbww0acQRlm8NH+4zPzljOEoQDQ02eZchmC4Og2WqTTWccn47Y3t7haDbj0eOHpHFMscx5eP8hly7t8fKrL3N6csTG1gZJAFWecXr8mNVsSrWaM2hc4Z2338LUGikDhINGEuOcZrmcE0UBVV14xqASBFGErTRF5r2OoiShLsv1vQQpPfhjrTfUFlKAVJyNp/zzL35Fr9cjkCF1bTA8kd/yAIWfxxFPvTQ88zzpQX5vcOLceTWWuHjZOF9X5FNVYOeykxer2lNyWP5w4oLlcv4zmHWhmFj7F7mLz0j5RJLy3MvoHCx5uqLEepMpwD5pqxO4dTnY0w/+50A9UhKqkEpr5sslG/0eWINzjo2NDe7d/Yj5fE631+U3v/0tr7zyCsPhJqenp3S7XbLxkqrIGQ57OCOJ44gsXxKGirLMiZVmfDYiOxwTKMXVa7s8/9wtBsMNlqsFjx/vM56OuHL1Mm8/fMDVKzfY3hryxusf0WrusLu7ycOHj9gYNgmjgDffeRfnFFtbuzx+POHNNz/EOs3VazvcuXOZfr/Pm2+8zWJasjW8RKvdZbHIWC5XDAa7bG1eoqhXnByNeXD/kMePH3Pn9osEgaDX76O147337nF6uiJKGhjjePDgEQLHlb1rlEvFL3/xOr/8l9fJ8xH9jZi9q1tobVkuc67s7aJ1Tlnl9AddwljS63XZf7RPt3cHxCX+0//vHzg9HvHiCy/z69/8CusMP/v5K8ShJEl6FEVBWXggMwhDbt66zTvvfsDJ6SHXb17j6rUbPDqYUmnDfFXSaPWI45qP7h+Q5xOef+55Fpnl4GTOzesv8fqbD3n3w/fJihypmuw/eoDFICYOJRXDwZCqKmi1WkzPZnR7XVqtFrWuKaqcR/unOB3z29+8x/bmNlFb0m43UZml0Uhot/c4eLzP/v59dnYuc/36ZQ6Pjnjz7d8RJwGLbMaf/OxPGJ+ccXI8JklS/vxP/y2j0ZST0ZwPP7zPalkThiG7O5fY29vFuprJZMrZ2YRslRMoSasVM58vKCtNoCRSSKqqpD9oe9YvGq0tOEFRrD79ofjH+DH+YPFjouAT8Z2CE38M9+LbOofvy7VaVztfSIV+T9p1UcHL96ZJXzc+tRj9sz4IPPFA4A8DAn/avi+Amaf6g3vyDP3JBN+ngSVfpg1fcbvP3N0zScgLcORpQERe/CxgLaGlIAixaUjVCag2Ahhq0mFJspHTb69oxzkNWRFJjcSui7SeMBc+/eQ++7591ql/scv5TV64L74v97Hvv2e7Tz11f00+H5T5LLDtvBjNZzsFePP1tfF6KC2BNCilEWGAiy0mUcgSTCWQ9VpOqwZhFdI47+fMWgWBJ0Xmn0scePqPnwqGrM/p6fHy7Ll8lXH9sRfmLwGY/rFMoH+guLhFF1jWej38ykPMfUq/+Hrj9QcNjPzH//j/YTDYoJGmqDWjYe/yFZbLpffCqKq1qa6XW5mNx96LJAyo6tIb/obyqRVUXCRmpJQXN8wn0ixSCA8orBM5a0rJeXbIV8Oea0ZesEjOFwieDNzzm2i92TvOy5w4KaB2OGOYT6f0mm1CITDWEDg8iyEQFxP5ORhx3gnOK3TPJxtTlkRByLIqiIXzrJKL5niZo0ajwfjo1OvWXyTEuKjIDcOQJE18ktz563KuIS/WXiRILqp8kzhF1x4YQUrqSuMc3ixdhQipWCxWqCDk+OSU6XRBr9Pl5Zeeo65zms0mdVWhpJducUYghfBGzRaWq5xut0Mcp4wnc7K8RMqQdrfLIlvSarVodVrMFjOEEtSmxjnB1WvXODl67OVaREB2fIq23pzcIikKzeno0DMmasdiVTKdHSJVQHugkI0mB/fuomXI2dmcSMUkScr+/j5//ld/QbPdQIUBp0fHbGz0CZA0Ww3e/eCU3qBPFAV0em0qY3j06DFBEHDt2jXyPGd7Z4ejoxPKSoOzPHiwTzMOacaS8WRKs9kiDh35akaj0WBjOGQ0GoNU9PsbPgFf18xmU9rtJkEUkipBv98jXy0QEi/1VNdYZzBGo+saYz1s32ikdHZ6XLq0izaGPPdsqjCOcdrQ6XZAeF8H5yyB8vr9eQnTyW84PJzgooY3+bbOS66tx0mZ5yyWS2azJUHUAF2RhIrTo2Nm4ylShkgEs8kZ169d5v33PyJNhyjVotnwSeJet8VsNsM50NrQ7/dZzufcu3uXK3tXuHLlKlVV0Wq1EEKwyrzBcSADWmkLrWtMranLGhc4qsKbkDvruHHjBknaZLFcUpall3Bxgit7V9jo9iiKHGs0SahIEi+fYo2h3e3inCYMQ0TTm3ZHSeyPG0VMZ0uazQZOQJKmzOZzFkVF3OzQ6rQJ0xZuuUK3WiShohkF/NVf/SV7e3ucnZ5Q1jW19rJWRtfUtUGqEIIQbSxlVmCdl5wSCFaFN/VFSMq8JI4TnPQG293+JsvliuPTKYusptPtEkWKMGnhbE1oKsqiIgwUIKjLEucsxhmMM7SazXXBjyUIJIGUbG5tYuyTueb69ev85vU3Wa1WlIWviC6LHGsMxlqkUtRViTU51gDWzyPWOnSeo61E1wlORBgniRstIiB0FYgKEdRYXTFoBEhZginottsIoCG9hGLuLCGarZ0hZVWTZ0t0JTg7fsj+vQ8JVcDpo5w0Tkk3N3nwwTvkecHW7iUaTS9tNjobs5rsYp3j5NE+ZVEy6PZpRJJYWYTOyRcTTvSKUMFidoYucqIwQMYxUii2d3apyhxnNS88f4fbd56n8kxijk9OmM+nHBwcUFYV2XKJkgptNNoYRF1TaS9BZbVdezuJC5moSmtUENBJe5RFznw2JwhigiAEoKrrNYj/9MOke7LsfMrzx4Vv1vkayLOgxic///FtnsSTde/Jz2ottyikRKylwbzv1jPbrffn545njrV+cHoWhPFLqrwoORDiKd+vdfvzPMfZgLOzM65e2mFzcwslLOOzEUmSMJ/PieOE559/nt/+9rdc2dvjyqVLxHFEkXsPoFYrQeL9SoyuCZ1DKkFMTJr2mC2nBGlIls85PTulsjXtTofJbMnu7nXSpAVuzsOHJzzaP0bJyJu7O0cUK6qiwBqYLRYYA7u7baqqYrXKUUrxeP+U8WjMn/7pn1IXTeZTzdnpIUl8gpBQFDXjsxW7u9sY61iscvp9z1I8ONyn1U7Z2tqkLHOazQ5n4zGOGmvx59doeFanighk5IE2G5CkXV56+ScehF2VCOmYLxbIAPYfP6LVapLlOVtbW9y9d5fNzS1+/md/ym9/8zv+5Oc/p9frMZvOsEZjTU270+PRwftYF3I2zpgvH1HmmrOzOVevPcf9ew+wNmQ6zTEm4Gwy4+7DMWFUcfPWJerKcXScMR5bPnj/Pbqd20RJnw/ufUCvO2SZZXQGm2hTMp2dQaCYTEcY7ej1NhBWMJnMMAYGgwFx3GJjI2S+WLBcLqkrR13PgJIkDUDUvPzKK3R7DU5HI1bLKcbVzBcTtreHxEmEcRqlBN1Ol9VS021fotfZIZRbbG05RqNTyipjvii4fHmXy3uX0LrmH/7xH0jTkCpfELdSghCELHj5leeYTZfEcYIVS3Yv98kyyWq1YDSaAiEbw9YnxuWP8WP8GF8y3FM/fJ/zGT8Ets632cank1Vf57DfyXU9fwg7B0h+APf2X0M8C5D8ofrGs0naj/3+BfrDNw1ufMZz/hfZ7pP/uf7nGVDknPkN4KSEMIAkxDQj6n5AsSlJNi3NQU6vu6DfzGhGnikSCi9dfOEpIp7mVTxddP7sOTwFK4hn/+/Zn78P8ek39guBIp+61dfrKE+2Pr/e/h4EOELhQZFIGYLQoiILscXVAltJdA1SC6TGy2lZhzUKafHvo+eV6F8WsHj6lL4K+PFljvcxNsMX3O4CTPkyfetf5xrwTZ/1x/Z3MZW6j9+/Lxg/aGDk0aNH7D985I3RpVoDGsKbBlvLarViMBhQlSXgkFJR1RrVjqnrFWWtaTXiJ2wMJPYiqcPFIPIOIU+AE3EOfnD+fOYBkmerZi8WBic4l9y62LcDozUyTsCa9WRhSaMQdE6+nFNWFbbWBMoRS4kMQ5wTYNbVt+sJ36Pn7gmA6vwkpuuKKAwolwVtY9Z1vz7x5QCtNY1mg7IsMMask2/rpJj07JMwDknSFKQHUoyz1HXNYrn0oMj6/K3xVbhR5BN0i8WSZqeDEBYhQIUhaaNBu9ulNg6h/P3K84LHD/eZTUa8/MJVVuEKeJ7N4QCra+aTGYGMCUPF5GREEIUUZc4qz6mN814GCIqqQErB4dEhxtTESUSgJHm+pNsdUBQFg41NGo2EqtI4oUhS773hkAgZIlVEo5EwmYwxKJJGg+lsxt3XXmf32nXOVhlpd0Cr1WI5y7h2/RrHBwcUeYb3YKhBwKDfoxk3WCznhHHI1atXuH7jOrUxPNjfRxvDzVu3CMKAutYcHR3jgLPxGUmccLT/mI1+m+3nb7FcriiKyleUtjucnBzRrmsGgw0QgrKqWK2WrFYZSRgClqIsWCxmFHVBLH31q1SKWElUFHpT+qKgNgajNWCoqxWy2SYMBSpMsDqgNhYtNNZWaFNT1jlGa5JGTEiErQ0KQxIojC5ZVRWt1tofwxikc+RFTrfbotVqAQohFIGEydkYZ6HTaVNXhmy1otVs0m6lRJEiyyqm04pur8t4PKHT7TIej2k0exRlSVFVnI3HXLt2BWsdURSzXK5IkoQkTqhrg0BQVxqpJPP5EmM03U6X7e0dkiTl9HSEEJLBxqbfZ1F6Y/Mso9loIhDEUURVWbQ1LLMVpq5ptlLiRspyPkO7ilazRVVWBHHi5wghSVstojjB6YpGuw1SMVtlyFhTVAsCbQjDBCmgKksW4xF5nrHIcmoE0kmsUBgEToZYaans+diMEGFAKCRhFIGU6Nqg10llo0CLCLtmlQUqIG5FuCClqmvG84xeP6GZNsAWVNZQlDWtVgvnvMcQziKdQa1ZZLUBVMRimXPrzlU2dy4xmi6oa01RVGxuDtjZ2ebw4ITFckmz1cIYQ7vVwoThenxoZvMxCEmcxkglcXWJoaDSFikjKg3GCmzZJghjdObnqaKuieMGjW4PnCMOI6gWLOcLVBiRLTOMs0TNFlmdMTo7Y7FYMui3mR49InYGZSHxxjUc3v8IvZjRSlMoVpyenVIby2YzQVU5SsC1nQ2KvMDUho2tLlFo2P/oHaJAUC8XLIsc4QydRoJZRkznc9I44ejggLIoMLVmPJ6yKipkGDPc2qbRSHjnncecnBz5OV8IyrL0/i7OUZQFUkriJKbMK7T10j9VXSGEZyhVVYWQjihKiaKQqqpxWuNwHuy8eIZbi1Y99QLzRE7aXTw8yHPK/nouP9/m2Zelp0GJT30peiqeNcJUSq0NJp+ALk8f49l9n29vtPZ+WudFBmvwwzmzXo+5AF0882R9XPsUECT8Cl6WJeB9sKz2Eo/dbpdae4+twWDA9evXebS/z97uDt1uB5zF1DVlUdPvdcjzJdYJQiLquqbModPrY/URSiYYO6O2hlpr7t/fp9vdIFANTo5nlAUslgvmi5xOZ4NGIyUKm3z40QfE3TbWnvvrRMzmc7a3N9kcbjGZznDOYq1mPqvY3LzGyeGH4AxZtqSslvT6XbTJcKIkihVmUSOV4OVXXuTx40fEcUjS2MY4S3cw5Nbt29y7/4C6Lul1E/J8xb0H7zEdF6jAUmvN7Ts3uXJ1A2M1ta6J05B8tSRJInr9HqejE/Iip6xKoihiPptzcHhMEiZIJTkZndDfGGCd5b0PPuDtt9/j5Rev89f/5md88OExQlWkScJwY4/7994iywT7j8ZUWpE2epRlRbs7YFGskKFivtQYLTg4zLj7YMxG/xJvvbMPskWrO8QqRZQmPHx8n83NIUkakcQJ0+mMzeEmO7tD6oFmsMx4+OAhy8cT0qRJt98nDBynowOM7bK11afSBb20RbuV8tHdj1gu58zmU6qypjY13X6X/mCAc9Dudrl/7z695pDNjUtgGyxmjvmsIteLtZzXmBs3r3F0fMjvXvst29tbxHHAo/3HhFLR7SQ4awiVIF/N2Rj0+N1rbxDHIa1mQqsdsFiEXLt+lek04+033v/c8fdj/Bi/L7582uSP7OX9PLn+tU7rj+ya/BDim7hvPwSg6duOj8lK8UfRtb/SqXyCxXG+kz/wBXn6uE8n9v6gh/yGUZaPgSLiIk8GXHiMiFBhkxDXjDDdkGpDUmw7GhsVnU7GVrqgH65oyIpAWCT+C3y91PlT/hPAwH1Kkfg5R+JproR75m8XLf7jCIHPTXJ+hp8GAn15gOXC4H7NFAkwhFITSU2sNFGgKUNNEAeYWuASgakFWguEBmFAWIE0AmG8Uo0HRrgo2vtcIPJZAPHifP+A4OWTg6/H4vrYXzSb/6207XMO/50d+cvF1wZHvsjGTxdRfMH4QQMj/d6AIAgx1hKEIWVZemkOBMPhJpEKLiZ+pRTGGPKiRIgUXVvyvER0E8RafsutzaKl8yi3FIAUiAvrXbhgZHysavWTv/uxJP1i4MRa4H29SJwngNbME135am9TV4QJbA96ZDRIg4AoCFHGs1tsbQhDr/vurP8S5ywVt9ZdZ12ZCzhniaIIXa3QusbiJbgwa2qisaSpN0quap80Mmu5Eue8cW8Yhj6RZC1mfW7GGGbz2dqU2Z/HeRWwkookSVhlOYPhJtaCVAF1WZPlJVGcEKcNrPUGuWkS0x94vXJjvda+s5Z2s0m+WhAoSSAFus7Z2RoSpTHTyZLFMieJUjYGQ4qyoqwrZrMFi+WCS5d30bU3iw8j78VyZe8y89mCPM8IoxhbVMRRinEOZTSLlTdDBQiihOlsgXVzjDH0+xtEYYiSitl0StrsUhQFIQolJe+89TY/+/Ofs1guKIqMYplhyop33n+HKIm4cvUK2hruP3xAq9Vmd3eXZbZiNpshnSTLMtJGShhFLOZLuv0ejw/22dro8sKdazSaTSQFVbHw/g9hSBB4ySAhFbPZjEAprly9jtHFWvO/BqOpnWA+n2GtwTm7ljbzHiJRFGGcYzGfUlQVrU6HMAiIooQojinWzCtDhTYlaRJiCaiqEms1YdCg025xenKGQGKMRRuLFQJr8YytMFr3d88oarZSdF2RxKmXGkJibYWUcHx8TG0MVVVijOZ0NCKKY/auXcfUNe12j93LV4nihGJ0Rn9jg8HGkMl0xs7ONtY5qlpTlBVSKnCCqqrX9zwkjhOWqxVRGdJstuj1+hfid6ssp9aGQAW+8ne1QkpBp92i3W6vJYAqqqogihMqbQjjFIujKGvSZstLzBUVhS6RKkaowN+rMKBerrBOsMgyklafIi/JsoJsleFMzaDbIY1DKmMIoog4TdF1hLMGlAd5gihcP3OqC1khK5W/5ggqXaN1Rafbo65qnAWEIC88ayuIGiipWa1yUiPZaPuEYCANTh6RrTKkCjAOpAxQgfQSbGGA1RZkRNRM2Ny9SllqQHJ5bw/rBHlesnd5j/39AybjMUEYYq2l1WyxdfUqy+WShw9WlEVOFEeE+HFpqJHOEeJQ0tOl81qzHHk2UVXXhHGEVIoim2CXI5yDZqNFnCQExlFlmvnojEazSa1XWBWQ2gojSuaHE1Lp58kyy7GBJAojAim4tDkgjmP2rlzl3ffeR1tLq9XwMmXOMZmOiSKBDQRKFuhyxSrLcBisBaUEZVkQSoWrK5K1FOLJyTEqkIRRwHQ6YTSZk7baVFrz5jtvc3DwyLMorJ+zi6LEOdbMGomxFmOtZ36sXy7CKKIsy7UMlcBoi5OSvCjXc299sc6pdZGAtfZijfkEs+PJcnbxw8eKcT4FpLjY9hlg47PAjfO14unf7frF71n5rI+tne4pxstauksiLuYud8EMcU+WXT/FrJ9fn7TNWoNS0oMi1rBYrdgcbhLGMVVdo40hbaTM5/OLQopsteSjux+h64pms0mz2URrw+nJGd1em+VsSVFYdi9tcHr2iJOTEZtbV1iVZ9x5/mXG0xGnJ2Pmi5yqMuzvnzIej/mzP/szms2MxbIgTRNOR8ckcYPp7Ixb16+DgNoYtDHgDGEIYSMG2UTKgCtXrvHhB/d44/XfgomQQqLNnP/mv/kLjCtodxLa3RZaa1AFg0GHoii4fuMSaSMmTCyb7S5GO6wz7O7s8N77b5DlE7a2BmzvbnD1WgS2SVlq/uZv/pLXXv8F2moarZSqrDkZnbC7s411lrKqSRspVVmuJaBqz87pCDa3NpnOZ7z19tvcv3eP/f1HKBWgopDjkzGTWc7JaEYjbZJlCQdHS8az99jYuoSxkqLU7O5eobcxZDQd0+pE1Frz/PMv88t/+h3aNIiSIY8PZ2RFjgojojgkSgTm9JSiytno90jTBKkU29tDwgjORiPStMFg2GA2nzGZP+bqjSG9bo/j8X3iVFDWOVmW4U4N47FASs+CXC4XxElKFCdsbu0AAWEUc3XvFmUmeHTvmDpfEQawudlem65nhJFlOp0xny+wxjIanWJtRdwIKYqM7nCLMAiwOLrdDovZjOlkzpXLezhnODo4Jq+9fFsUpYxORhwfn/Jj/BhfLb7HGc9/ncWTnx9/yATL+b6/gyTOV6lS/5JH+APv/48w/pBSUt9FfNXz+TRQ5NtIdj4lqSW+xfTml512P7Vl58ooa1BEnButC0BIkGrtKxJgmhG6F6OHErFpibYLGhsZ3faKQbSiFRTEUhMIi8KuJZ3Ok/T2C1+Z82LxzwJC/tBX+Atf04vk7Vdv0eeRFb4q1ikuvtwalHLedF1YImWIlSFeAyOlqSEGqwXGCITFfzmBsN6EHQPKSpxx62Lw9Vk/DT6cx6cltJ8dg19nfH+lsfwlRsqXadt3DKR89+G4kJf8okPgU/rHk7vzaWPpi1/fHzQwcnBwTJIk68pQRxRFKKWIw4irV68SBgGT8QRtDCoIEEpRljXO+krToigRQvrkkfC+DB4g9IuSN3EFsbZ89fdtrXP+1DW2T7EtzlFQL38iwbr1ZOUu2nkeUilMbTzKqyRCO3SesTO8StDcBhUjLcQGlKmRdej3Z86TT87v76n779b7dYB0kkgGOGOwdY1BYnA4a/xCYw1BEOCMJl9lxElMXWuEFGhrqSpNpGIvF7Q+ByEkMlCMJzOM9cb00jmwBl1VEMUkSYyuS5IkYrFcepNe51BBQqfTod1r46ymEaU0Gy3qqkIqRZqk2HLObD5jNTnAmYrt4ZY3bBICFQWoUCGEo9NpUpQ1xycHdDp98iwjUI4Xn7vNbDll0GsjpUIISRwmTCZz2u2WBwIWS6I45tHBgdfxDxQgWWYlSkmUUmztXOK119+g1+3QjmMaaZOGduTzJUWWcWlnlwd37/PgwQNe/cmrbG1uYoym026jLMzGE8qqZPvSFsenp/zuzTfZ3tkmDAMePdrn4aN9tnd2uH3zDmVV0en0KMuaVZ7xwp07XNnd4vqVXcpiwenolDgwhIEHwe7du8vGcJPHjw84Pjll7/IVet02dV2iAq9LHoYBUZASBB7WK8vCg0xBQF3XFEVBkWVIqZBK0GwmvhK+LslWK+IkZrFY0el0kNJhjGY2W4GAMFDU1pLpEqtrv2gGAaGUaAdh0sQUJVr7pORsNSeNYjqdLqFS6FrgrEIFIXleeekuq+l0ukyOj2m12gw2NsirmrKsmS9WBCqk3R1gnKOsKxbLpa/Ab7bQ1mIcpGkTJwSxxwlZFSXLPGfv8h51XbFYLgijhE67Q60tRVlx7fJlFsuMShucg1anQ6vbJU4aDIdbFEVGlntpqbQRo8IERIgxJQiJXQOTRVlTG0Ndr4GHVNFuxVgMs0UOMkIGlu5gg9EswzqBdXB6eoYucyIpCSRUVY0UklXugUop12M5TCm0Bw2N8ddWSkUUe5Pu2niT7UJrVK2xDoo89142KvD+SmVNEIRYC2Yyp7uxxXZ/CE6zd3vIcrXi9OQUjEHriqKuiJMGhdZopxFEhEmMCZscjSYYY0hbLcqqQsiIza0twjBiPp/RbDbY3twiCkNWqxXPP3+bOAo4Ojym3egQSsFiMcM6jc1zZBhQ5jlVpb3MUOiN0BdVgagK2u0Wla4IEWwMNwjDiNlsQp4VWONoBBbKGdmqZmNjSF0uscs50lpMraGuUbqmEbRRUjMandLvD7h99RqX9zZ4980l2WKB0Bl1FKHCAJtP13JfmjDwnlW91LM2nIXuoI9EMjoZcViucKYmCgP+9M/+lP/yX/6RPM/RWhOFAc1mg1//+pccnZ6glKJaV9nXdY2TgizLUaFfi8q8ZL5YAhBFHljMS+8vYI1eyxlaal0jpCCKAgSsTc8t59R1qRTnbMbPiqfBjXMZq09UkZ0zJD+juuzzqPhCiAvZrHOpLrEuNhCfwhIxzgOoTz/WiHUFncSPa9aAkeWp49r12iu9D5IHhBzGegAvDEOsM3x09yNajQavvPQCwll+8Yt/Znd3h263y9tvv8VwOGR3dxcp4cGjh3TaLTY3hrSaTcanZ6TNBu12n/HkBGsD9i7f5j/95/9IXmhavZDF0lLXAYtFSV3D44NjlFTMF0t+9Ztfc/nSZZSSOCyv/uRFTo5PuXnrGh/dv8+VK1f5b//bf8/b77xxYWa/XK54+ZUb/OrXv+XoxJHlU9rtiPmsYHdvj8HGZZq9kLJc8h/+l/+Wt995k/ffewjC8s67r7G9vc1LrzzPdHbGvXsfsLd3mSt7N3n3rYc8eLCPdQuuXBuiVE1eHtHtbNJuduh2trn78E3eeu81di9tE4UJeV7ym9/e5f/8f/rfsv/oAQ/3H7Ozc4mzyRlNJ5hOpxRVjQqDtZ+J5aO7H5BlGbefv8W1a9eQaB4+fkxeWoxRLJYZ9x+8yZW9K/Q3WmiXscoylqsco8fErQ4yjDkeTUiigAcPj5ktShwRD/aPcFaytb1BbQqkUmRlQZImBEFAs5nisCRphDEVxkjCBIp6TrMdkrb6BCPDyelD5osTbl7fZTyZgbBEUchykdHtdNi9dJnFYsH+o2Pi2CFlk7fe+pB+f5PLu9dwJuWv//Lf8yv7a371y9/y05/+jCBwqCDmr2//OW++9Tq3bj1HGChs5Lh16zZHx4/IyoXvn84Sx96PylpDWeZARBAELJcVtS4p6prhsM1yXjAeL9jZvQw8/sxx/WP8GN96fCOgxo/IyLcWf+ygyFeoFP1u4nva57+nzfpO4ttmkXzbidIve7xzwOP8Kf1Zlsh5UfA503tttk4U4tKQuhdSbIWIHUNjp6C/nbPZndNvZDTDkkTVhJi1p8UTw+9zn5GLZlw05+PyWh9r6sd+OvfbeMKp+EOBI+5j3y9a+gc62tcL9yntehoUEbAGpzxQFQhLJMwFayQONaVVYCSVlZ79bj0gggVhBNKoNXtk7TcCOOwaHHF8wjbm6fnn6XH3e/uq8HnR39edv+oY+0ONzX+t8+3FPV6Pxi8yKM/X9vW24tm/fc3B/YMGRkBQlhVBGGCsxlpvCq6EZLlc0mw2scaglPJa98Yn+40FDFRF6VkWa2xBSuVRaekrWtdFqZxXoH6M2vhUlaxdJzG8XYhPRFnrGRmsZa58dat9Ugew3pcHGgJMnqPCEOUEri6JlaKy3hdEKAnW4+VCKqQC53xi6dwDxUmJwmHxIIsEAusXI2GNl1oRAU4onPVm8hjfDKP9dYvj2DM2UGAdVhtUKAmDgHNPEikVSijmsyVFUVJVteehKM8aUUqipCTPfFIW5whCRVXV1HW1riLWjMdjTiqNRNFutGjEvsJ8tfSSSsNOn2q1IM8y0rTlZUuqAqEClHBoq6nLglAJsmzOcjFje3cLrQsUvkK81WySrTKsrjgbHfOoPsJox8svv0xZaWqtSdKUIAjpDvrUlSGOY05OTnh8cEiSJvzkZz9lNh4znc2YLRbIIGK1XKF7FVeu7LGzOaSoSv7T3/89f/FXf8nJ0RH3791DVxW7O7tcvuyNWoUQZFnG8fExy+WCP//Lv2K4ucml3T2EkBw8OmAwGDAej/nlL3/BS3du8dDVbPYbnJwcY+sFpyePSZMIpSST2RilAv7iz/+UbrfL8fEJxtS0212ybEkcxxhdASFxmiCFIwgCrLXEceyZQsYQRiEiVMgowNYVUvjaABtGOOcIAkVd1wgh6Ha7lGXBaOSrVTvtDeI4IQgitJPIIMYSMNjYZLFcYRZztNbeUFvgE/h1hpABZWWYL2YkjZRWt4c2mjCK2NreIW6kzJYrDo9P6A+GCBnS6gx466232Lu+h3YWF0hQkkJrgjBmma04PD6i2WyCg/F4SlEUtNttTkZna3YMNJIUAsWyyFkUOWeTCccnIzY3t4iiiMePDjDO8W9eepXZbMKjg8fEYYSUkryIiaMQ1Q7JK0OR5URJTLvV8nOEVdS6RoYRaavD46Mj4kDR7XVIk4TKwv7jQ7Z2rlBpy3S2IIlSokZKUZYcPN7nzp3nSBsRKozQ1jCdzynLnDAMUFKxXK7AOdJGA6cN09XcPwcEklW2otNpM5rNCFVE2miA1uR5Sa0NSaNF2mhQFiVBGDGazCi0ZrVaAQ5rQdeaMAoxLkQD2bKm1W5jXEkYJEyzgl/+7k1u3rxGGof0pWQ8mZA2OnS7PYbDDe7dv89isWC4MeS999/j5PCQ3/3u18xnCyajCcvp/5+9P32S/brT/LDPOee35r7UXnXrbtgIECS7ye5R92hGM1JIssOSFY6Q7JgIR9iOibDD/47f2w7ZbyyFIqweeTQaaaab6uZwJ0ES2wXuvtReuWf+9nOOX5zMunUvLgiQBECQgy/iIqsqM89vP8v3+T7PM8PzPCbTAd1uk7LKqTcaGGNpNltgFFmWgiyJlWA8nlDMJzSaNTAlZ09mlFXJdDpFCkWlNVEYUa/X8JVgcv4QpSSBSGm0GlSVh+dFxFHM/v4VojDi1i24efMlXn/jdSazKa/c2AKxTW8JugRhQBzFeJ6iVqvhB8qBjYFEa4Hnc8FmODkc8X978pjjw2OSZE6r2cEYSxjFvPnmm7z93i1+8IMfcDYcENfrDgAwJcY4+ayq0k5WzEJe5BdggpSSsnRMEF1WzvOiKrBaO68rIS7MzIUQzqfKPpWqWo1Pl8crsfq/WAIal8awF5mhu4+L5fgoLyTRLrxAViPxc9tbtaWUQkrpWBA4RotZGqULYS4+u2pPKeU0iFdt2dWCx/1nrFmOsZeOwS4ZlMvJtRRyyWZ0E2SjK4zwkMD5cMBkMsILPeyymML5ZTkprdlsxtraGmHgsbGxyZPHDzHaoLa3qTUanJ0NWe/3Cfw6D+4d8trrL/Mn3/wL/tVf/w9s7vXwTg2lScnyAqxZSgsaNrc2mC+mlDonDD20ztG6oNmqcePGVbLkAXu7V3j99df54MN36fZb1GoRb731Fj/+6d8ynS44PHzE+tou/+l/9h/xy1+8R57nSFXw4OEH5MWEd9/bZjKZ0Gg2eO3V6/yLf/EvXR928IiyzJwkXVYxGs55+5cfMBic011TfOub/5BvfOsV/vpv/pr7Dw555+33eenm64xnC6IoZDpZ8OjhfcbjMVVZ8MMf/ZB/+k//Kbfv3OXx40MGw4Fj6AYx6xsB8/mMg5MjWvUGi3QOCG7cuE4QeMzmCb21Ndq6y8MHh4Rhjel0hPBqCBlxdHBAr1/n1VffIEly3n7nPVTgsUhyFiJlPEqQMsAYTZZl1GtNpJL40iOKI1rdDskipdVoYKyhKHJqtZiqKklSjTGaKAqZzaYIAd/5zrcpS9eXPHjwwMmqUoFUbG1t0263mUwWjMdTut1NN0dCEfgRcdjiu3/zfXQZc0ce84uf/pIPPrhFf63DN775H/Lh7Q9YLAI6nR5vvfVzXn3tZQ4OHmMpEALCIOLll14jW0wwpiQKPaTnczY4odNpuTFcW6YnE9q9DgKPBw8eY6yg1er8ppPlr+Kr+Hzjs1jUf1HJwItx8YvZ3Jc2/pCqVD810PE5giKfabuXcwpfsqzYhZzTV8/Jr43fJUn6ab77eTB4LgMal9r9jWS1VkDI5d+lA0DEJbP1p4CJxAYeNg7QTZ+y55NvScKtksZ6Sr83pleb0/ITYlUQiArFs2wRuZKM/8jh2Gc0XT7dUVyI438u4MiLQZEvMn6To3oGgXD/X+Fd1i4Z+wZhpQOorANGPOmAkUBVhF5FZBRWSyeFbQXGKiprwSzZI1qAdn4jspKuplsAS9nzF1NdfgsgUrBcH35KcOS3iT82Zt3vMS7YTKux9dMOhfbFd/jTIfVpnmD1+U8bf9DASFWWSOWMaxFOtkNKibGWWqN+cSJWbA0v8FgsFggUUvkkWYGQ6plkkmTZsUu4hIwsk0NPOxt7CSSRyhmoi2WiRqjllZACYzVYsdRFXF0hc6lN144SAmGcyZSy2rE5hM98sSApEjabPgaBNAJxQTmyCLU6G0ujWwRWG7DLgcRoosAnCkN8v0FSLc3MrWExneD7LklujSs2tlbiKR+tC6IoJktTGo0GURSRJRlV5dgfSZJgjatS9pRFlwVFllNkKb6vmExGZFlCXqRoq933ygo/UOS50yV/+cYrbG9s8fD+A4bDIYtkjapyCbQ4jmnGIabQ5EXBbCmxZYGyyqlKSxSG1GoNBqMhb77+Gsenx4znUzzfYzLKUcJSlhXvvP8LNnb2wBOkWcH9h/doNFp0u20nieN5JLOZM0NOPdIsodQFURzyzjtv8/DefaTns/fyy3TW1inaLok4GY/IkpSyKnnz9Tf4xc9/zng0oiwKmrUGg9GI7FbKK6+9Tqvd5k+//adLhoZicHZGr9Pl/t27/PznPyeO6nQ6HTbW11n/2mts9tt0myGmmOL7inqzy/6eM5X1PEWaZezt7XN+fs754BRsxWIxxdiSwPMpqoo0mRFHMVWRE4UBi8WMRrtNnqaMRiPa7TbpNEV6klanhTUWfB9hQC8SlApodfvYykmkeJ5HUOtR7/U5efQYa8EPQkoDflRjNi+wUnF8OsALIzQerW4bP9gkEILBYECjVacoNEU2p9ldI4wi0mSO9AO8IObg5JSe9Oh0exTmLn5cp7+xxXS2gMBHBiFpmqCNJSsKitGQyHcgQK+/jtNzH+GHIfvXrjFdOFN1a0F5PnG9zmg0Io5j4kaTuw8f8fLLr5AkKe+9/S5Y+NNvf4ekyAlrdb71zT+lqiqGoyHGVMxmM5AewvPor23ghQFVUWEFNNoxRgiq0jAeT5Eqwgs9/DAGoFZvYvAoS0Ot1mA0nHB2esbmRp/A89nY2CTNCoQfkOcJKOfNo4yhspogjFlvtikKBzDmSY5UvmM3YIgbTZQXUgtjyqIgzXNAUm+03HOTFxRViVAKjaHQJYPhCOkppuMJrXYHgyDJ8gvTbxUEDEYjOt0+5+cj/DCiMnBweES2mGKs8wtqNrv0+n2uXt1nf/8KeZ7jScX+7i6+ENy8eZ3T01P2/uEe/fY688WMza01lDLcf3CHbrfLcDDk9PScMq8IoxrCSm7fvsPN61dpt5u0Ok2KsnDXwFrWN/4EpRw4sbW1jTGaBw/uoSSsb/QBS7PZ4Je/+iUPHz5kc6vD1762Q5qmvPb6v+8S+zZhcyPiP/lP/iGe7y0nPK63lry4SMxYgxQOyKgqiMOAwJck2Zy8SEjzmNff/DrGWr7/wx/wq3feI68qWq0WaZ4vvZo0WV5gjBu8lec5vyOzBBWwy3HCbdxbypqtfJ3kBYBhkJ6HxaCXk9jL49lK5tCBDMsKoOX/9BIMWbW3WqjpqnoKdOD6Ry6BKPJSm8+DMM8vri5ADyGwwmIwCGvwJBB6GOPAH7cfS68qc3kG49idq2HYHbNbBhm99FORl71KDFqX7rxIB5BYoNIV3nLXJpMJ87ljDdabDRqtBmVVcuXKFX75y18ymYy5un8FKeDmzZuMRyPu3bvHS9dfIs9zjk9P6ff7BKHl9HTI3pVdtjevc3jwiP52n1a3TZ6dImSBNguKMuWNa68yGnjMFwu+/uZrzOcJZZUxHk/QlaTT63Byfspf/Xf/DGM1VZVxPhhR6YQ8n9Hrtnn1lR2Ggzk//dkPaHfWseRUOiUvMpTy+d7f/YR6rcV8XnD71jFHx+fcuLFPmqRMp3M6rW3GA8s//2//iihosr//Eleutfje937M1vYmf/LNv6DMf0GVxQR+gzSZsLl+lcFgwmJW8iff/Hd4+aWrfPe7/4qXX3qN05Mh9x7cZ//qPo1WmzRNSZI5Whs6nTae77N3dQ+rLXfv32Fvb4fB6BQhBEEQc/feA2q1PvV6iw/v3OPk5BH99Sad/us8enJEVVVEYY2yqqhHdaSEZqPBaDij022B9YiimDjymM0XHB8eEIQ1txCTkn6/y6NHDxkOE/I8JwgiGo0mxaJAECKQzKYlB0+e4Hs+zdoaSTYjy+fkRUUc1zg8PKbV7BBHdeK4wSJZ0Gg02Vjfcr4xueZ73/sh7WaHGzevU5kZRyd3+H/8l7cZDkb8ybf/PllaMhnPePTwAXFdkhcVYeiT5RZTySVoZKg1fO7eu83e3hbKq3F2eszx6Yg4iimKkvFkwnQ+JwxqeOoPeur+Vfxe42nf/uWsX/2c49J48lV8RvGFJIh+z0n656pUP7MQy0yQ/S0yOJ9nrBKMX5b9+X3Hi5KolxcIn3X1+eV2PymB+3wbv23C99O0sWKBrBYTq9cLQEQ++zflJLR0PcS0QspeQLUJdqfE28xodhasxzPafkpdFXhiqWgizCX5rKeJ+4/8JJ55+aSDWr5+Ufe0eO7113zMfn6j8YsYIR/dgUu78oJfVubrUhiU0PhSE8qKSFWUXkllpSu6tmCXihgGKJfexi4cICI1KDTkIKQF42Texcc9C590f39EYosv5hJ/SSWw/hDndheX7FOezs/z+P6gV1cbmxtEUYy1hlKXF3rmK311qw1pkpBVTl4BISjyCmMtRhvyLMVU2undSRBCY6xBOTMNnpmImWfhqYsE0LJC1V4aD5YfcEDLSmfRmlVDF23YpeTWSu5EGI2QFdKUWJ0jVEC9XidoRFiTOOBCWKRSzrxICLDSfXdZdVJp4xgvgDWaIFCEvs/J0RGN9QC8Gk5aJKTXD8BC6EcUeUGv2yPLM4y1SCvQFlTkUYtrYC1VWVLmJWEQU+UlRVYRBzFaZ1hhicIIa6HT6TGeTvCXi3e9BDXKZWXz1voGr954CbTg9MRpftdCHykkpdbMpgvsVpc0TQlVQBTXCMKYoiiYzmdobTDG0mk2KCtN6Ic8fvyIbq9Lv9vl4PAAsNy/e5dut8f169fZ3NrjbLLg5PT8grVydjYhSXNeeullsJbHj12y/8nRIa1Wi15/jZPjI1577RVOByPeeustdq/P+MY3/5TFdMH52Rknh0d0+h2yPKVerzMdj/E8j42NDcJG7FgsxtBqtTg+PmYwGPLo4SOU8jg4OGRtbYN+v0+n3ePk5IQ/+/PvMJtMODp+gi1bKJuR5ik3rl1Hl3OUCkmSBVevXWU+m9NuN6nKijTNXMJvVlHkOZtbG3Q6HZLFnEWZcX6e0KjXGAwGAKxvbFCWlfMeMRYrFWmS4VeaKG6QZTkuKWnQ2jjZN63JplPCWo1ms8l8noNSSzklS63VRhvJIi9JFymVNkyOTqnFEa1Gnck8xVoBwiMtKsx8QTcMiRtNRuMxeaGJay2StKDZEWxt71Jpy2gypSw1CIkfRBRFsZRMiYmjGATMFnOEEJyenNLudOg3miR5QRTXaXd6PHnyhM3NdYYTx5Io0gXTxZy41WSeJAzHY3b2dsiygtF4xMbWJnmW8+Hde6x1e9TrTfIsY+9Kn8lsiqc8FlmJr5/e3+dnI9bX15jPxpyfj+iv9Wk0OgCMxmNnlK4caydJEjbWN5lNJ7QaDYoyJa7V2Nza5vGTJ47JJN3zE9dqKM9z7AJjCaLahTRdWRTOY0kJhCmYpwmtZhPP96lK1x9WuqJWq1+wEMIwcL4WWPzAw1SVq6ouHJASBj7GaGqNOmmaoID5bEzgCQQGYQzz6YzAl3hSUlYVJyfHnJ+fI5VPEIY06nWazSaeJwkDj+vXrvLNN18BC5PxAs9vkucJs9mIIPCZzSbkRcrXXnuVwA9Js5x6rc7m1joba2vkeUan1+H8/JytjXVa7RZKSeI4xvcl1hqSZM5iPuDs7IS3357jKYGxzl9FeorT08fkxU22d7achKC1zudGOHkn64QGMTgZQqMFUnrO5wXHVBBCoITEGoOwykEopsKYkm6vw9Xr19nf3+G/+q//a27f/i6n50OE5yM9j9li8RFQYTWFMRqMcQzCp+uhpzOEyz5WK5nHC/mppbfU5fHpQh7rEvixgvattQjtmJHPMz1euG2j3ZxdrLyrns0sPSWlrNoQFwCNMR/1ELn4DGCXY6S2+ulYKlf77liWF7KW7iA+Oud9bmK68hZZHY8rkHPXNQ4jZskC3/OoxxG7uzsURUGWZgwGA27cuMFkMnbAcauNNYZOu4O1lqqqWFtfZzx0HhC+7zHIJ3h+wH/w7/8v+Rf/479gNp2jFAhbo8gLAj8iCCVVVdDutLBolAdX9ncZj2acnw2o1dokacpiMWWRGLQpkF6H4fCEVquxTJzXMDpgNn1Mp9PiT7/9Zzx4cI/57IwnB3PW1jYo8orB+YRms0eeFXgqoFZrOPAuapKlFmFr9Dq7XN2/zu0779Lq+LQ6G3z3r9+i39vgb//mbV66+Rqnxylbay8xGEzIEh+ra3x46zGT4ZR2a41/9lf/kqtXr9Bo9mg06oRBjfOzEVWl6XZ6hJFPGPpIYblx/RrDwYjjkyOKMkUqwcbmNjdeeZnxMKPSmnqzwZVon8cH97l/7yHtTtNJcmoHxG1uraFNSZkX3Lx5k/W1Hf7mr/8WpSxSVrTbTV566SY/+uFPiaIGw/MRxuTkeU5RVHQ6HdqtLmVZ4UWKo4MD3nzzG8xmE3zfw/cEs9mU3lqLv/z7/wG379xHEDPrFoCiKAoHijQbpGnC2dkJT56cMpmM6F3d4PDwMZvrdf7hP/pz5otzHjx4wPpGn1dffZX337vN9vYW2s6ZTCe0O02M9uhFPZqNOkoZXn5ln8dP7rK1uctgOCKfTjg/G1GLW3ieYjRaMBoN8YOAVrPHeDLnq/gqvtj4IrINXyViP9f4TTIPX5a4PL7/ge36p4/nK1v/aA/09xKXC3Y+Uxm3z0JaSzwzcf/kbTwfK+DkguH9G3zv1+3TrwNGLv5xkeviMlOE5atSWN9zRVANn6IbUm54mM0CtV0QbSQ0mwlr4ZyaV+ALjYfzsVDLJLz4XJ6FZ8eZ57fwRSSV7Ud++Azb/LSAzAs2//w3BBeX+YK94wmDLxwwUsqSUikqo9C+QOP8IEsBpXT2yuUS4hJWILVEVm49q4yBSmCFRIilos7vwsC6OKAlNPBpWCOfd3zS8/1VXMSXBcz5gwZGbr3/Ho1mEz/wsbhq0iBwEkBxHFOr1VCeYr5YYLTB9wKypSmxQJImzsxWXkoyYV1FsKMSLAl6y2rbp7JYXPxdWIuRK4YIzz4EQgCKVScsLmRAXLLKSlfNao1BosEahK0QpsQDrBJUQKUtnjZIP8Dkegm2eE+3JwQYJyPiKQVSYtL0AtBZzKb8N//9f0/hddAqpl5vEPo+noRup83p2TnaCIaDMWEUEddrTtteCJRQhEFEo95kNl4QBhGVKUjTDAF0Ol3ybO68D6oKqTzqtQZPDo5o1JtkWUVZlWg0RVUQBgG9bo93336HPM3ptPuYypDMxjRev4ZHh9kiQSsfayX4AbpyHi5SKfKypNloc3J6zmQyIQhjGvUm7VaXo+MDNjY22N+7gtaG+WyOkorBYMhkeptKBiRJQq1W4/z8jDiOuXP7AzwlKYsCKwSPHj/h+o0bdLpdTk/PuHp1n36ny2tvvM7mwydMkoz333uXyIvYWN8gTxYEofMKmM9mBH7A/pX9ZUW5RQhFs1njB9//PoskQQhJv7fG3v4ed+7cIc9d8ibLMqazCdYaqqLk/VsfsPmX36EoSmq1OpZlAt66+7ysKuIodObonketFhPF4ZLhs0WapszmrrK+2+nQ6bQdaOP7RFGI8hQIUCiEUggkYRgRLBPqRlta7RZ2ed/5fgC6wpeKZOaqgoOwhhYl8yQnCOtM5wum85ygVkcqjyB0JuLz2ZTxPMWPGgymCwSCnd0rzOdzsrwkDAO8IMRaS1gLmE6nJGmO9AOyrED54bKSN8MsWWFxXCcIQ5TvkS4S5vM5Wmtq9ToIxTzNmE3nxLUao+nUmZlbKCpN3GgiBGxsbfPw8SNqtSb7V69xcnxMFMd0+31OTs+IgwilAhZpzixN6bQ7zBYpp2cDPE/h+z6z2YxGo4Hv+UjpPIzW1tYwBuq1iLIsUF6IVMIZQAvlDMW9mHk6o9ftYnVJrVZDm4J2u0GW9TBL0LSsKipj0ZVjXWlt8H1NkqQEQUDgOd+hxWJOkiV4nuLs/Bzfc9XUnvKXMneaei1iNB4TxyFRFNBsNJiOBngC/GX/aa3F5CX1ep0ineFhiHwYTcZsbGyxSDJm4zOCMECJELNkMIRBAALyIqPIU2aTEUfAlSt7tJtN3vnVr/B933WTUpIXKQiNwFAWGfP5nH5/jTxfODAl9EizOcZm9NabPH40YTQYUBYFfhBw584d5xmkHWghFeTZgoMnD1gsZlS6JM9S2p0WaZrhByHzxZyjo0N2dnZx5t0svSjERRcPYimNK5BKgK0cQ0SKC1NzayxCeFjjmBBlVbKzs4PwQ/7n7/0dp2cnPHr0GCF9hOdTaUtZFEtI3JmqXwZHjGHpwyGeKcKySzDdDSlPgQ/X5a+AFYFctvwMgLAMY5bvLRtdASMAwj4L0i9bf8FI6+AicbHxpyDN6hieldBanVODtfpCahLh2IrmElAjEUv5vkuVZwDaYKVd7v+zx2WfS5SI1X7L5R+W59cYi5T+kmWjwGiEgMFwwHgyYW9nm06ni65Kms0mSiluf/ghrVaL6WxOGDmgP67XEUoynk3ZiDYoyxIplfNGqnJUMEFIj3//H/8v+Pkvf4W2GQsN0qsw0rK2vka9VuPRo/sopbh160PW+hvcv/+Irc1d5smCeTJnPksIQ596IyZZ3rPuXvRI5jlaW65fe4kkyfjRD39IUSRsbDT5xjfeYDKZcHr6iG9/59uEYYPZbM50MWRtbZ08zwiCGF/VOD2ZYq3GCxTf+Ma3+MGP/jU7u5tMxgt05VEWkqNH76O1od1p06i38MMa3fYuoBmeT/j7f/lt2r0eQliOT09IFgXapPz8Z++wf3WLXr/LwcEjpLBcubLLvYd32d7Y4dq1q7x76xe0G02OTo4wFqJajDUWbXLa3Tb71/4+54MzhPQoygqjDVEYMptOyTLHWnzw4B4P7z3GVAWd1gZFkVEVBb5UztwRj1qzg5KWqkrwvZA8q0j9nMlkTLvdIogCwljy6mtv8uGH7/Ho0X129hxAPZsPOD464oNbD9nY2Od8MGGtv0YY+fiBQOuMRVqhVEW3W6PZDAnDNd774Ofs7Mesrbdotr7G++/d4/33PqDT6fGrd+7QagsqO0OpOtf2b3B+JpAiYjQ84d98/y2Ojh7QaMZU2tJprhOEBms8rPEo8hTfb+JJSRg0sbXgBc/pV/FVfI7xSUkGsfzf77L4/woX+Wh8pufkoorhs2rw8w373Ou/DfGJ1eNf4MlY7cuXIcH4GcWv88T7DBp3r5+nvNYnbft3iUsFSB//3nOgyIuks4STuraBj418TD2gWPNJtiV6x9DdTuj0J/SbM9ajGaEs8amWYIhjjDzjG/LM/jzlP/yuh/xRJsXv7j3ytMv6BHDCvuizv32s8IBP3O7z37n0+uKh5rLpvbxgjfhSE6qKykpKK9FWYlwFnWOFWLdOrbBYoaiUxKrlOlQojAJf4GS2SgOVK9h7IXPk8o594mFd/u4X0Hd9NWf5o4s/aGBkNBowmU6clNWyh1zpswdBQK1WZ3Nj0yXkpJMrSdOMqjL4Qlxo74dqmdDxFA7vdAOnWGXLLE9RcOyzA5eUYPRS/kR8tINZ/iCwbq5jzNLXxKCtxEq5HF+WsigCMJWr3hYaLRVJmmBsTux5iFItySwOSHH5pKcDllnqu6xkVMqioNfp4ksPL4pJtc9injIuxugi5/T4hKLUnJ6eO/aMACMsQeiAkSiIMaVdSjKVZFlOGAUURcWPfvBjur0WYaCcvr/vU683QEuU8CnSitCPCMPY6QlaiycUujTMp/MLHbher0u3XXfJ9iBkPl9w8uQQHwODMWEYY6VkPp9SlCVh4GNRIHykClmkBUU+Axlwfj5CKKjFMZU2VJVhc3OHs+GI9a1tHj85REpFvd5gPBqxvrbO6ekpgfKIajVefellhJI8vH+fIAxI5nPKLOPBo0d4jZbTXJ8lJMmCdJ7S67kk9ttvv+08S4KQ2AvJi5Rmo8XJ8Qmvfe1r/ON/9I+5f/8+jaZL1FprefPNN5nN5khPEQQhu7u7vPvuu0gLf/5nfw/ledQjhdFQFhWeF2JtQb3eYD6ZUq/XUcpVi1hjiIKAZLHAU4paHBH5PtPpmOlkjJISP/BZW1/H4qqf/cBHKY+8KKiyAgSUeUlZadI0pd5oECgFxlCUBUZr/FptaR5dkuYpeVHx4OFDoriFIeRsMCGMa3R6azRaDYy2GCvIi5IojNne3Wc0GDAYDJz3QFW5ZwiFUIIojKhq7rpFYYQUCqUkuippN1vosuL89AypJKEfYivLbOp8AUajEUIowjBaejG7Z95gqUUxeZYzmy9ASBrNBpPZjFqtztbWFk8eP+Hw8IhXXn4Vqy2V1syLOeeDAVJIdna2GAyHPDl4QrfXJcudpNnWklkS+B61OKIsSyYj533TbNTQpmQ6HRJEISrwMEZQVQVVlS0B3IAi165KXML9+3fx/ZCq0gglsXYpeaQ1ICmKYik3ZynLEqNdpX0cxbS7bUxVkSQJxhg85eEpRZ7n6Kqi1+2ytbXJbDpFKYUuczwBoa+QQjKfL5DSIwoCJsNzavUI5SlU6BFvrlEUOd1WgywvKKrK5aKXjAVhnVxhFHhIqdjb2+PKlX2arQaR73Ex1bROXjAvUoRYgiKLGePRBN8PSPOcvKgoCgdsZFnCrQ9gNp3hyZCidCBSp9OhVovpdDrO/yNQzCYjDg8fo03FbFbQ7XTwgwDfjyhLxxyp11qAhxCe68pXzLuLij03qXM9qjsmpTzHyjACKTwqbVC4vvbo8Ji/+7sf8NOf/5wnxyccnZ46SUc/AKsoyoqqcpM9By9YjHUmy64ff64eyrJkpizBDBw7zlsCUM/BHsvh6FmQ4uLdFSABPA+YrLb1FA56dty6/Pnnvyulu44rcOfCY+sS++RCvounC9EL+S+7An3ce0oqt92lTwjg5MHsUlrLrmoTnp19XjBulq8Xw/RqmzgweSl9vGQkluiy4oMPP6Tf6xDHMd3OFscnx0RhxO7uLscnJ1y5coXFwrHsFklCLQ6JgsiB4FWFJWN9fZ3JbIwQkuFwTBDUuXHtVU5OD6jVfMbTitJUCDzu3nlInqfEcY08qzg5OcdTIbPZgslsQZJqGp0mYulNUxQLojCg3W6yt3eFB/cOGZyPOUrPUEoxHJ2yd2WD9c0W9XpEXszxQ4shoTIVrW7EzZf3mE7P8LyI4XCBUiHdfo+9q12yYkRRCbprLSbTKUo2iGsdZD1mNpshhEZXhqOjE+r1Njdu3OT05JDB6RHf//7PKKuSN77+BkfHRwxG51y9vgfWjVPvvfsea+tdXn3lJienhxwfH4ERdDodsjxju75BEDY5OhwzHi/odNpYBNITdLpdwjBkNp8wm43xPOddNZvN6PY6TCcz4tAxLspqxunZkDiOODk5YD7P0NrSanbp9lpM5ucYPcUaS71eI01yHj16zP7+LvVmxAcfvM3jJ+9Rr3nsXWnyj//xP+Sddz7gf/7u33Lr/UOMDlFMqDc6FAVEsUcUxuzv7zCbzdhaF8RRi8HZFM+rY8yA997/FXHNJ44aaG2pqpzpdMTXvvYySXaK9HyKouTJkyPi8CrzWQUyBFHR6V6hXg8Io5gwaDFfnHL45ASlfJrtPkkypygz5vOMZJF+9Hn+Kr6KL0Os+uXfNlnwuyYXv8j4kkpp/Pr4Q9rf3+Y++pwyVV9YAkw8P9G7FJYvXN7qmcz0HwdA8hEPvs+mUZaNfjYAx6f9/mcBiFxu5yPtPVe0JARcsM2fA0R4CorgKWzsoRsBuh1SrQvMjkbuVbTW5+x2RvTrc+oqJ5QVnjBLmSZ7wUwQy8qnp+sT++Jd/DXx8fn0j4Iilx/y58/+i0vGPm6bvwk4IT7V5359G/zGoMjl79pLz/cLrj4CV3e28npRWHyhMbKiUpLSKrQtl8DIJcBFuuunpUV7yhVSCoER4iL3KTVIWSGxsMoliGU21V7ai487pOe7w48gW5c+8Ln0Xct9+537kq8Qli9L/EEDI2sbawAusVtVS4klg7WGRqOOlB7VEiQoSqfPnswSsrwkiBV5UVBqQ7CsqHY5Fvc0GWNcJa5ZJc+W74lL8iTLZJB9TmYLeEHP7bI7YpnIsiyrYVfVt1I61odgCbRoPAlGCvwwwDMWk9pllfKyDa2XOvhLI3aB81ypXCcjlERqQ6PRQFcVs9EY7TWwwiPwYwLlYU2F73tgLTIKMUZTmQpPeZSVRpcaaRVRELOxvoEnPax2Cb4f//inTuPfajzPR0qJ53lUuqKyhv/q//PfID1FFEU0anUCz6dRq1ELa9TiGpWuMFozm055cP8Ovda3acWC6XRGnhVIX1HkJUUpyIqCRTIDqTg+mdBotUmyksH4BCF9qrLk9OyEMPCoNxtIGZDnJXmaUxRgUdy7+4DheEwcx/S6XRr1Ji/deMmZT1tLr9/n7OyMo5MTPCnwlaTf6zA8H9JsNCk9ifJ8J4/xzi2SxRxpa05+TXr4tZD5ZMq9J3f51pvfoLexxod3JpyfnVOv1VnMF0RLGSRdVWxvbZGm96k3Gkync5SS7Oxsc3J0xvvv3+abb7zERq/HdLrgWGlqsWSt10JrTRTGGGNIk9wxprQlK/KL5GiWZtTjiI3tbdLZhDRN8YMAbbRjGtRi5rMZRZUR+CFVUVEUhQMWBUynUyeJ1Gggls+D1hrSFK21Axkn8yUwqZjNZoSxk9AxlSZdzImi0CUVG3WCIGQ0nKBUQqPdRhc5vqfI8oI8z2l3uszn8+WcUuErD095dFot8iLH6pIb165SFBXNWoN6veYYOmGIEoqz03M6nQ7zRUJVVlSVZjyeYC10ux0mowmVLul3+9TqNTxf0e30WJlNh1FIvdagyArKwDEmXEL3DOkplOcRK0UYRfiBT3+9R5FmSAHNRg0B1OOIVKSIwCNLM7Y3e9x7eA+EptQWYwRlaQmDgGRR4PsBVZkzHg8QnqUqC1rNJrqqqNcbGCHQ2qKQFwySKIoIAscUEkJgtGNqeZ5L+kZhDYEzsTbGkKUpSkiKvODs9IT+2hrddouHDx/hr69hjEZrEEpSi2sMBiNsbAh87+LcLNIMqTzCuOZkCi3L7S8BX2vxA/9CwrDMM2pRSL0WsrHWR1jj5M+ShCTJAEOWL1gsFlRVzmw24+xsyMb6JlKGzKYj/MAxMrIs4+TkyAHHtkBKRX+tT6/v9r2sKqI4xBjDk8Mjbt+5R+AroqhGHDtvl0WS4vshnU6PwI/RlTM897xgCTg8nXRdTsILHEDmeUs/ES3wlMRqy+HRCd///g/4xS/f5Vfvv8+Tk1MKa/DDiGK+AIQDRTQI5S2BAidbZzDuelrrpOXs0oFqlfy3BitXIIJ4yhxBXJgMPh1enoIil4GI1d88z/vY91e+V89KXbnT8TyosfL9kFIuGYvPtvkif5GV+frqvmC5vdUc0izBEQlIqZwHyfJzF8bu0kn4re67y1aJQq2ul13uz3IbkosqIWsNVWWREnwp0drgeR5379/j1Vde4srODtZams0WB0+e8Nqrr6KNYTabkyQL6rWIqio5PDxnZ2uX8/MzgihAKY/7Dx/QbDWYTCYYU9Fu9dDGo9loM5kt6HXWyQrIsxnXrr7Eo0cPSJIUbEBZSvKi5PjkgGarQ7PV4mwwIAoimq0WgR+SJDN6vQ537tzm9GTEZJzi+wE396/SXRdcv7mDFJbAt1zZ32KejJnOzwhCj+nxlK3tXQbnEw6eHNBsdSl1hQzqfO0b+wg8fvijH/NP/vf/G+58eJ/H94acHif4gaTe8BlPxxRJilIBs1nJL38xQkhBrdbEVJAsEk6PhwzPJ5SV5vjwlKrSPHz0hH/37/8ZzVbI1tYWjWZEVRUMhiPmixSlFFev7iNkxOHBkCBSdLpNtMlBGB49eUQjbtCotwDDtetXkNJy5+5tWq02WVrh+zF5JZjPKywGz4fe2iZKerz88quMBgtGowmFLsjSksUiQeATxzEvvfQqSTIlSRYEvmaRFMvnXZJk57z2tZt021f4u/Yvefvt++Sp5OreFbrrPQbDQx4/OuK1r71Ms1nn5OgEXSXUam7O88bXX+Xg6CH1ekyWFmRZiee1ODg8YXOrR1QLGE+HFLmm3dDocsHO1jUGQ4M2lv0r+5TVgvliTpbmCBGyvrGLUorZbIQx0Gq1ODw4ZDSe8FV8Fb9dfBGL789ikf9VouBzic/ylP7BgUKr+B3urUsYwRcfqwror56NL22sQJE/BNB0BWJfFNe+6H0ugR9c5L2egiHPfV5K8D1s6FM1AvK1gHLDw9sraO1m1LZT1ppTunFC08sIZIVCO1AEi8LJZ30s+PEpc/720g/PYHsfG6sCq48+Wx/JtV/6xEev8KcEJwT8rr4il2rbXgBp/DbtPQtsPN/ZXfiMYFDCmbAHQhPJCrP0c1z9EwDStViKpQIAlkoorJKgliAa4C3AsyCNBQ3CPAtSfXRHl38X4gV94Yu+9wX0l5/J8/7Z7OdnBJX+EcTzT+2niz9oYOQbX38dpKukLSvN4eEh9+7doywrZwruBWit8ZfGtg400GRZTqsmKMuKsqoQYYQ1Gq0rzFKWxGqnpY9VYCQSZw7EUv9cX5IoMauq1Qv2h6sORjw1V7daY3WFtlx8RgiBlQL08oCsQViNMAZpnfzK4eQcBNzY6GKLp7Jc1oK2BissyliMduCKse44MBqpJYKltJYxjEYTjGeojMVXPoIKYTXGPq3o1abEWIMfhVRVRRzU8KSPJ336vTWstQyH59SaDVrNNsbopcm7RSlFVVYEfkQc+BwfnqJ8j7IsqcoCXWrQGltq1vrrvPXLn+PteWzu32A8PMfzfIwtUcqj11+jTBfEUZM8K5guEoT00MbihTHKixhOxswXKTu7e0xGY9Y3d/E9SV4WnA8nCCEJvBCNolaLUWGdVqfHbDIh8EI6jQ7JPHFVvGnGowePCMKQVrNFv7/mKru1oSpLB2oJODs/48nhKUmSsFjMEVoTRCFxFLG+scmZf85mf5P9vSs8OT3CaEtRVJyfD4jCiPFozHw2o7vWZzweM5tOyfOcKHL3YLfbYT5NqTdb7O3tMzx/wpWNLp12jzQZMZstyLMFrVYHpQTJIgOc1FIY+WRJiuxBLYpQSsIyKRnHEUoppJRorakKS1Cvk86mFzJzxhiXhEkWKCUJAo+iSPGUh/IU2hjSNHE+JUIiVB3fD7h6/Rpx1MIYRZYbZouU0XhMVeS0Wk20NuRZTqfTJc0LfN9Q6gLfj1lf7yNQWCAKerTbHWazGUmSkBc5wveoygxTFhw9eYynApr1BnmWYyqNFiVxEBLGMdnSlyLLnBlxv98nz0uKomStv8Z0OmExmzMYDDDWEtdiptMpwgo21jYZnY84PDgg8HysgSv7e5ydnSEkDMYDtra2aLWbtNtthAQv8EmzlPV+nziOyNKELF0QhiHNRsh0OqSsUrzAW8qtGRqNJtPRnFo9YDaZMxwNKcoMoSxFntFuNdFViVgCsMYYKq1RyicIfIIgQEqPJEkI/RCEoDQGowWe8BBWUq81kFKSJgm+CqiKAipNrdVkrdvHmoq1Xg9fechQkqYJgefujTBugFIEccBsPkMvUtfP2IqWcqBeENZI0jnCGApbOAk94TxM8qIgiiLu37/H+dkpr732GlVVsbmxwXQ6JcuyJTBsSBcZk+mEeq1GHDboddfR2uL7EWEQ0Go1GY6G5IuEVrPF2dkpnW6Ps8EpSZqysbFBVItZJBm1WsTV/Rv85V/+Qz54/108D4qi4OTkgI3NDcoqQ+uCh4/us7O7S1SrIcXK10NcTEeezmvcIkBKRV5YpBRIT3J4cM5bP3uL7/6r/5knj54wGE9ZlAUGySJNkYFHuWI+SOmAEG0oqxLlu8Q8YgWKPAdYwDNFS9aYC+bI0m78Ysx5Wrn3VFJr1Ya4tJi5PHl/furIEmh4Bhi59LlnJLJ4uq9WOJDmYgy7BI5cjsvgilJPWSHyYvL9dAHpFi4SJeXFeXETa4GUAq0rtFn6jqzQIeQF6LICWywGYSUId80QEqNdP24vzVsHgwE//elPWf+P/2Oa9TqtZpMHZcnJyQlbm1scHR9TliXT2Yxr+1e49f6ExWLO+voGjx49IQgC2u0288WMjY11Dg4eM5vNUComTeesbfQ4OR/TavaoTIAnQo4Ox2ijaTVbFEWF1hLfi0nTgqyy5IVbHJ6cniNFiRQVH3z4PnEU8dprrxIGdQ4OHrPIjkEmNNvrbKxv8b2/+xFr/V08z6coSyqdo03OlWtrbO30OD07IM1HIHzGEzg9W4KRg0ecDe/SWQvY3f0G77/ziKtXbjJbnPHWL85RssZknHH96itY4/GrX73HbJpx48ZLXL16gycHT9BaoGTAdDLn+rWb7F/dptONufXBr8iyBTdu7KEEhEGEMdBpd3j85DFrazv8o3/07/Gv/vX3OB+egdSEgU9ZFAzPRly9uk8c1+l0O4wmA7Iip9AVcb3N+HzBZFzSbK5Tr9cJQ4+iSJhO51jrM5nNyEqPRiug3e4ymcwpK8Nmq0d/rc+dO7eQVAgqksUCheLll67z8N5jFrMnPHqQMhxkoGu0muvMphZExmRacHRyzs9/9kve+PrLWGs4Pj5E2pBOt7NkpNUdM6hWoygMlUm4fuMKoGl3apycHhGHLfb3rzMeaSbTEUVpaXd7DIYTtE3JshRdWrLMoKRPvR4RxT2KMgCh6fRqWJHzVXwVX2x8VpWRn35zn08u4zNuVIhnM1Rf2viM9++3vA8+/7P0abbw24Iiqwoa+L3JS33Zb7Ov4lnA4TOTxvoU99sLmeEf86WLRO7HJPI/BhR5Ri5LPPd5KbC+woYeph5QdX2KLUW1K6jt5nS3Z/TWpvSDOc0gJZKlS7Dz1NhbXiAZv0uC9/kE/6U11id+76PJ1BVc8nx8PBjx67f0mQ0X9vl9+F1T4svc5ce05WrD3bVSWJTQeEISyAqNk9Iy6lkVBHfbOMWcSoCVgtJbNobA4hEKC0bhGwulcdJaH3fffuTv9qNzhedBihUIJS5QpM8nfldwZIXgfdkB1T/y+IMGRgyO2mWsRXmSeqNGt9tlOp05IERKWDIzqqpy3gxGO2kZHVBUpZOjMYHz/6iWyRzpHlctDHL1zK1QcunYGfKSXIjR2lEHK5wuPXJp5r608jVgK0NVOcktx6xQSOkSQtWqTNnJqTvGCIaiKjk8PCbNEjZrrxJb6yqWTfm0ItY4EMdeIC6OtSEwVGWBIEJKSbPZJFzMKZXnjNuNocgKYJnwMu5YrVjJmZRkWUblV6CFkzQSyiW5PI+iKHj8+DFpmhKFIabSBL6H7wcuCea7KnuKCqUU7UabWs0BEL5UzKZjbly/SS2OAcv6xgYIZ3Y8nS5I05zpcEJVampLzwqjK7Z39xhPFhwfndHvbxDXKwajCVIq4loDIWB3a5eqKpFCMjgfME8LFlmFFwRkRU6j2eZ8MMD3XSImSRI21tZpNtuMZ1PCKGI2n2GsRWvtpEyeHHD38JCtK9cJw4j+tXUOHx/w5NETdrY3iQKfxXzO1voGw/MBP/nZTxGeAiUpy5Jer08YRiRJwlq/z9n5OT/84Q/Y2NggWRTcev99RuMxN27c5LVXXuH63j61uEb32g3SPEcIxWQ84/hwQhAoZtMFnvK4du0ai0XKbDpw5rRlyf2HD6jX65RlgTGGdqflvCUiB4701zachJW21GpNRoMxca9GLQwpspQw8mnLNo1uC5MVWGNRQUBQb2KtpdHpkKcZaS4QXovpLCFNE+58+JBKC4ajOdt7u/S6HbI8R4UeaVZwenpKo9VmOBwiREkcRQwGAzwVAILNzS0+uHVrKREmqcch8/mEuFajdWWPJEk4PjoljmNHwVx6YmxubTEcDi88IHzfp6oM49GIMIq5cuUK9+/c4fjoiFa7Q7fTpV6v8e7777NYLGi32oRhyKNHj+i0O/TX1qjFdWpRnV6vi1TC3btFQZLMOT87YXN7YznGGpJswWw+dqyRRnxRd1KWBfV6ndliRlSvsXdlh3qtxYPyESfHZwgh6fW6FFWGUyzTzGdT+v11iqIAIVDSI89Losj5cwyHYwfGGotoSGbTKYEfYI0mDEMHrM1mmKIiDkN67Q5B4C/PuaDdanPz5k1+9rOfcXZ2ShCEtDox6SJjMByxs7tLWZb4vo8VCRqLUIqqNIymU77+xjfY3t7h5PiAft9J4xwdHTE4H1HqilazSbPVZDgY8vjxY1qtFv/gH/wFaeKYQWdnZ3S7XbSuuH//Pjs7O+RZyf6VfcajCYtFwtr6GnFcI0lS9vevc3T8mIPDQ5r1Br1el+l0yoMHD3jwsM7f/8t/QLvdIk0WPH70iJPjE6yBJ48P+bM//w4Ww9HxE65du0q9UScIPeaLCfVGDWyFkKshcJXceFohU5YWpSS+b1kkBd/7ux/yz/7bv+Lh/Uco4TEZz9AIskqTlDlSecxmCzzPR1cavRx3POUDAl1VjpkonbfGymsE6zp+67QWnzI+jDNId+PEalLnxrTlCLU0KL80gb0kaeXaMB87BzQr0/aLr4rlXFVc/H7x3pLpIREXkleXgZHLAM/qu5d9VJRSCAsG5xcllgUNT03i3fReKe+CnWaMcQwVKbHWw/mzOJ+uFf1cKbWcixrMai4tVsUJYHR5qbpI4XkeZVES+Ip79x/w1i9+ybe+8Q163R61uMbR4THraxvOrLvd5tatd4nCgL29fR4+fEBcr9PtdhmcD+j11jBWM5/P2d7e5eDwMVube9y58wHTWZur17eZLc6wwrEjsB7NRpM4DvGDiqIsuLK3w6tfe4Mf/OSnRHGOLitAE8cejboiCiWvvvoqG+vbPHl0SJJOyMoxr795lSwbcev2GYaCUmek6YIorhGEip3dJo2GZHA+4cbNHR49OqHb7SM9j0cPj6lMxn/6n/0jvvNnX+Pf/N1PEHhs77aZLU4wNuHK1TVefeUlfK/B+UnKWz97n92dDYxRxPUYzwuYzzPiuMYiG5NXBZsb6/zlX/45P/3ZDymKnMHgjL29TfKiYL6oaLW6xLWQJCm5e/c+P/7R25wcj2i12/TWOvjSQ1vHfjs/P2N3d4OHD+/xtTdeZn2tx8nJgMiLWEwsWTqg3WqT5xZrKubzBM/zWCxKev11+mstZvMBrVbLsX/mCdeuX+Po8JjZJGX/yg7j8RllHnHl1Vd55eab/PP//q+49d498iwgSyVV6dPtbnF2dsSHd8fsXVnH93zef+9DtrY2uXnjawzOfkboRcRRA4um29nk4PAxyaKg3+tSVN5yvhfx8MExcbROr9NjOJoxGWV0+1sgBItFThh5aC1JkoyqqFDSd5KOi4pGMyIQHrN5QqPRoNloAO98zJP9VXwVvy4+PnnycWPFM9/4Q6iE/qLjovr3y3heLiVUf8/X7XPzdvgqvoovXSz7g8+sv/wEYPrjKBa/bvu/7jvPvHIBiFywRZ7/vJJYz8PGHmU7pOoGVNsScUXj7+Y01hb021PW4ykNlROKagmKmAtAZAWKPA9LfFI8w1LgxSPcZQzo18MHLwCkngEMVn/9dVv7+FiBIs8Xq/3u8buCIi9ux/mLiOXrU+EviUUJiycNnnVm7FouvUaW69mPFOQJqAAtFZWRCCRWCqxUFyfESytXlO4Uwz/dUb1o7H0ROLJa53+eoPZn8bx/Ncf6jOK3eyb+oIGRvf09pBRMJhOEUkwXE+JmzPloSCxW1cDqQsbEU4pKa3KjwYPKVORZgmzVwEiwFk9KsBpTLXXTpUsKaSyeEK663WqseVopK1FguABRLhf0Ss95kFSVwOjVgOISmxiD9CFQTsqqND5SSTwBVhjiZpPv/Mk3UdYSmAybWAqdE/oGW1nHCNEg7LIHMRZtKqywyKXclwwUXhDR6jSJZiXtehsrPHzPxxpNWWoQgkD6kJfkRUZZlpS6ohbFS28Jl3R6enBQagd4eCpAIJHCLM2hU6xdJraWfZA2+oKtYIwh9CPa9Rovv/QKnVaLRrPJg/u3CUOfWi0Eu0B6IZs7uwwG56R5QVSr0dve4fHjAwQeXhByfHZKrd5kfXOL9269z6YXkiQJWelkxJJFQlkUjjXk+yyGE5rNNo1WDS3ngKLZ79Jek4wG54zmCX6gqAcBURQxHDrwZJFkHDw55C//4t9lfW+fJ0dnDIZjau0OXjSgsrCYp6BhMZkznU5pNJtMkynDsxFSSs7Pz2m1OjSbHqPREE8Jvv76a3Q6HQ4ODtje3GA8HvPjH/6IN9/4Jlsbm85/IRmz1okZjx2zYXfbSYvUo4DxfMbh4TFS+TSabTxfEMUR88WcojS0Wj2MMdQbdcrKEIbOsLXIK4SQCCHxwxqnp4/xxxkvv/4KobAk47ljE1W5A+IQFEmGUhoVBvj1GAv4UY2izLj13tscHx7gqxqB16LpxQwOjknnE/xawN71q+SFYf/qDmWpqSKPOA4RVlAZjfScd8a//u5f0241mUwH1Ot1XnvtVeq1mDzPUcrH2oztvR38wCfPClToM51OuXX7Q/KyYHNzE98PGE+mpFnGlf09Xn31VQ4PD5HK0mjVWCQz0izl6PiEZrOJMYb9q3vcunWLXr/La6+9QW99g/F4wgd373Lz+j6j4TlZsuD45JitjQ2M1uzu7TCfzcgKx9ixArIsJS8ztre3mY7GxI0avglRpDTiNt94/Zt8cOsOg8GIXn+N4XDI4eEhxlT0+y5pKGo1Ts/P2N7aoShKalFILWowmS3Q2uJJjzAMKaqSKI5RvkeRZRhTEUYBx4cHLOZzms0G7XYLYzSHx+fEjTphEDPPcx4eHDJPc7LSsEgmxFHIZDJhfWOdyWREHMdUGjY2NxywpXwnV2gso/GIVqfDSy+/zPpGjyAIUUrw/vu3GY7HbG9uUm80+NlPf4p3dsb+/j7GwNnZCVHg8a1vvM69B/d55913adQbTKdjarUGDx7eJwgj/NDH8yVHR09YJDNefvmmA7bu3aXX6WJ0RRT47GxtYq3lB9//W8IwYDabMhkNAUtlSvobayjfZ5Yk7F65xp//vb8gXSScn5+DKXj88DZ3bt/j629+g/XNLdxQqJBCUJQWzxHtGA3HfP8HP+Ff/813uXvnPmmaI4UiyUtmRUmlNXgeFseIiIOYoiiw2mXpA6XQxjEBVnVHKxwcln4mKzlFsaJC2GeZhxa0wLECMSgll9Jiy68sdVlXk0hHQ7YX7diL8chtx03zxcVE8RkghZXJHhcTRwfmK5T0HHPSuO9Z4T5vVuCLeAqmrOQmVwCJKStYmileHPvl7S7ngdWKQi2Vk9eyFr3cnpTyKeCy3FdwAKm2Fm8Jqli7mvQ6Ly8HzAi01VRG4oeBA67Kivv3H/Dn3/5zykKztbXLz3/83/HS9ZeYZ3PCKGRnZ49FmpMkGZ3eOkJ6DM4HeEHIcDy6AG6Ojk/Z29tBmwVr623yUnN0NOHK1asMxkcMRwesbWzRaCqyfEq7XmcyKcmyMQ8f3Ob09JStnT0accT54IA0G9Hrd7l6fZeySlgkc777t3+HUhBEguFgyPrmdUqb8fU/uUq33aXfb5MmGWk2oN6AyfiIdJHx9i9/xfrGNr5fUVYpjYYiLwNuvrTPD3/0Pbq9PqGq8Tc/+Tnp3PDGG69wZecmp8djWg2PZF5hjZPWCyPJ6eCI8fkCL4gxKDw/ZP/6Oo22x49+8l3Oz09pdxpcvXqVe/fvE0QxVzd7zBYp/Y0d7t29x3g4wvcCXr55g9FgTkN1uHH9KlGs+Jf/419RFpYiD8mLil/9ckqr0Wc6KfCEwSNmvbeDwOfo6JjQV3S7ayCW3j0ljM7GjMbnaJMTBB5h0+f2h+/S76yxs7XF8HyOJ5pEXoOf/+gJf/vX79Dp1nj11e/QX2/xnT/7NgeHR/x//5v/gc56m7gZEkYlW/UOnU6b0dmC8dkdsoVHf3ed46MzpJQURYZQMdt72wRhyHg0x1qPPJe0W3tUxpJlzsOt02uSpjlCOj+3+WyO8hVK1ZgsTpEiZzQe0O/3CYM1lArwZRNpNGeng990uvxVfBXLePGC++KvL8gLfbSG9lPEM8zG3zI+F6zh8wIwvqSJDMvnk2T5DU/jHxUo8nvHwL7AjV8ub/8juoSwmq8+l/D+PI7xgmn0GTT+kaTpR5CE36XxZ/I8F0VSLHNXcpkWf4byIJyptlIQeOhaQNELKLZC2NOoKynhbkqrOadfm7Hmz/CES6SrC1BkyRRZxrOchU9+2J5nKFwq0VpCGst1iXWJ/kuN/0Ysko/uxac78fa5H8xnyvL4zeM3vQvF0vfFWLv82SAQSCsvyWppPClZatFg1GoleRlccz8u062UQlAp96bUCmGc8booDdJohGRlpfwxB2KfzjNeuOMvOOCnl/O3OxmfJj4O2PgK8PiDiD9oYOTNr79Bq90kLwu0Mfzwhz5nZwOCIMBoA1ZgtCYIfIxRSCWRUjCbzbCihsaSlxVIj8pkeEIBdqlVbpwUitVOXksq7DK55Z5U/UwySgpndv6Ucrj80RqsXWmmqyUuYpfJJgu2wBiHv2rhEjt5vsAvSzBu4FZCXMiPaAtlmaOUh1KBa1NXYHPndeEpdFUhjDuONFkgvBZFnnDr3bfxan0qjevAvADluXYC5RNKjyAICKOA0AuJvAgA5TmpI0/5VFXFfJ6S5xntdsdV9xblsurZonXpqt0BJQTKd20qpdBLDfgorFGv1TDacvfuPRbJgm//6dfxpWajV+fw0W2Oj09ZX2sThgHdbo/j03PEPMFTzjz+4PDQSeJEEbPZlI2NDdIso9KWJMsZj8dYa/F9nyiK8IKA2CqiWszde/cBN1GfLxLW1vokeQEY6q0Gjw4OKcscsBRZTpkVdHt9Dg8P+Jf/+m84GTqPkxs3bjKeDGjUQmxZYMqcVrPF9vYmw8kYJGR5hu/7bG5uYYxlOBwghKXIc2aTKXfv3qbT7vDSzZtEYUQQRGysbTIeDLj94Tus95pATBhFtBpbBL5gvpgiw4hrW9ucnp4xnsyox3UajRogiJua07Mzgtoai2TO6SBDGw8/rlMWJYPheGlq7jObHfPg4SFZkZLripdevoZBUmu2EVEdmxUQBIShRzpPMCWYWU6FQJeW87MxO5tbvHRtjzhqk6eSerzhWC6RINUZlYQyn/MX/9Ff8OGHH3JyckIQREwnM9qdHp7noauK69dvkCxmtFsNojjg+PiIKIzRlabZqBGGIVaCH/ggYDKZ0Vvrc/X6NdI05Xw4xAsDwjhifWODPM/56+/+DaEfgHFA3u7uDp4fUmmNMZrdvW1u375NWZYIKSiqgl/88hcIoXjpxg201rz33nv0eo5p0mo0mc0njIZDiiLHGEOSLphOJ+RFzrVrV6mqip2dPR4/fsxoNKTb6zEaTPjhD35CVRmk9MiynDiq0Wq1GQzOGAwGXG/u01nv4AVTrLX0+31AoDVEQcB0vsCXgZNWWg6wvu/8daytODs9JvJ8Ntb7lGXJvXt3Ub7P+sYG4/EIqWZce+kGTx4/4e79e0RBxHQ8pNWs02g0LpgiQuA8m5IEz/cJI3e+tK2IohCE5eTslDt3P6RWq/HGG19nMpsRhSFIycHBAUmS0O/3qXTBO2+/zdpaD6s1j5885NHjB8RxiLEVwvqMx0P6/XWSNOH45IxFMiMIAjY21tw5HDrpM9/3SdOU2WzGWq+LFDCfjpnoCq0r4jhkPBnj+z55WXLrg/fo93qEUcSHH9wm8D2MqfjRj37E7Q8+5Dvf+Q69XgdhxTNSr56C8XjMj370Fv/sv/sr7t19ANJzYCKK2WJBZUAFAVVZkhcFVoAfBMznMzcOuA7GJWqXwIVjLJoLv47nmRZu+FguBZbsDQc8rD6/WqcsJ/lLCSopJcI4U/dn27TLtpYHJpa8D/vU5JyLt54uQZZ/uVg0rtoS1rg2VtU9Ujw9FmPQ1lyAF1i75JhcatOCFU9npCsQYyUrxsU3eOa8rGS7Ln6X0t3/y/NTVU+Zj5eP5TKTZiXPZYzBSoVUCoTk5OScw+MTiqxkZ2uL//y/+N9xcPCI/sYa48mINE2ZTCZsbGxgDLzz7vsYY1hfW6PX6QLQ7/f50Y9+xGw2Y3u7x2A0II7qnJ6N8MOY7b0rjKdDvKhA+RmtdsRsPubk9IjjwxPefPNP6fU6NBoxpyeHCFHR7tRRnmU6G+PJiOMjB8J0Ox32r2+yvhVSq4VM55r7jx7y7vRt0kXC9atX+fqbL3P16jYHjx5jtiM81aNeazKcnqOUotXuMhzO+OlPfo4fGqwe8c033mB9vcdIZgjhcXx4znye8cMHtzg/mREENYSUaFMgfZ+40Wc6mVNVknY35OtvvoLGFQQcHd+HSpCmC9rtNkmaoLVhPk/467/+O6IwRGHZWOvRanQ4fHzMyekx09mQf/JP/rf8n/8v/1f+y//3/5279x6we2UdY0vKDPZ2X2E8KJlMhkRhB11Au9FGCEEUNcnzBCkkeVoRRopuZ51FMqLSBePxmDCMMIUlWVTYyqMwCikU9XiTKOzR6dTodkNKPeR89IBuP+b1b+yBjqhKD11Bf63H+toOjx4eM59qalGXyXhBFDaxVuJ7DYQoqUrnjaNkSBS20MajLN0zqKkcyO15xLFPmlqMhqpyVXZShDTqbZQSNJtOutEaOHhyhKdCbr33AfVag6/iq/jMYzW+XE4avLC68tNmhn/XDLK41MRXCYUvVXx1OT7f5NqXIVbP3R/r8QEfqZAXnyGId5lZ8XQC/9lUlH9WcbmtjzBFLr+KparJpeOQThWD0KNqhuhWSLXmo3cE7BbUtlI6G1M67Tm9YEHDz1FL8+5nfEQuZH+fvdes4xR8AnbwbGHXR9+5/OVLHiLLZu2nwpV+9/O9uuS/LdPkswr7zOtlsOfTnYUVc+Sp14jEEwa9AkeExBcGIw1mKdUfqOW3rGC12K4MTnoLKCuJ1Kt1s0SWrtCQ0lwq9Pu4A1oBXS/a/0ugzDPskUvP4ecFcn/cs/5lBEc+7f58lv3Olzj+oIGRsqpI8uxCPqdWcxr4cRxTlRqlJJXW+NbDaI2UwjEAFgkCD6MlaV5hUFQIhBQgnHm7lQapBFIYrHbghKVAaJagiwM87PKhtULi4bkkG4CQS7kQ4ZS1PMAIhHyqCa+1XuqfW1DCVcgisFYzGp4Tqz7G+gTS0vRLpDZY7bojXVV4VuJZsEt5EW0NQju/CSUkvhJYK6mMJvZ8TJZT4cznq7JCOr0vlsXN+Mq7kCWz1iJ9J3fih07Gx/N8Go0mjXqTqqpYLBZkaUoYhCjPyYP5fkgQR3ie5+R4LkuOGai0pixLRsMhUeCTZBme7/Ho0ROiQDA+t0SeoSw0s9mcKk+x2lJmOacn95hOF5RlybWrV7EIxuMhtXoTTyr63SZn50OODg7Z3NzG931mszllVnF2ckan22M2m9Dpti+MnYs85+GDB3Q6baqq5OTklHqjhq5KksUcTynqzTrSkxyfHFKUKTduXCEvNOdnRxwdPCZS0O928TyB9JZzBU+y1u9z8+ZNxqMpR0eHvP32u/S6XWpxAALa7Ta7u9skSYpdetYcHR3y85/+lKtXdlnfWKMqE4TnEbda6GJB0KjRazQ4OHjC+SKhyCtKA3cfHTKZLOi2e1gkB4eHPHg8W0qfScajAb6vUEqiS+ezk6XFMhVZcv3l6zw4OGKyWPDKqy+hCSlySWlDTGYQpqQ0ipNHpxwcHyGUz3xaMZtkdLvrGLNgMpsym5bQb6CtZHA8YFFk7Fzd5x/8g28RhjHj2Rgv8FjljrXWVGXJw4cPqdUiur0efqA4Ojyk3WoRhjEGS5pnpGnqDIQ9QVG4ZFee5/T760RRRByG5GmCMRX3H9xFKUW33eHw8BCrSzzPQylFve4SpH4YcXp6Qp7nvPbaq7z//i3iOAIk29s7REGENpr9/X0GgwFKpWh9Rpou6HQ79Pt9bt/+kO3tbXZ3dijLciljJzk/GwKCVquDEJI0zeiveXS7HWazhGSREddigiDg6pV92p0GQeBxdHJKmqbUN+qMhgOq0uAHIVJ5rPXaFJUmzTOElOTLVykk0vcYZQsGkxnTyYT1/hrCU5yenzJPZmzv7LJIE46ePOb05BglBJ4SNBp1gtCn0iXGOqm/IGwhsOR5umSgwcbmOmfnA/I8RQnLaDji/v277OzuMBicUeYp82nBZDyi0WjgeQpjNIOzczbX1jg6OODk+JgsTwnjiHq9TlEUxFGN7e1ttrd3KauS9959j0ajge/7DAZnFFmOp3zWemu0Wi1832d7exusZjgY8Jf/zl/w1i/e4vDwCVUYEvjB0h8nIAx9PN+jKAuOT45YX+sTRSEP7j5gfXOTb37r2ygZuMmakIBkNJ7w+NEx/8//13/J22+/g1IKKyVVWVFVhkq7/rsocvee1UvJRNBVSRj4Dmx/Lp43Jv91cVHFdmnC9qxB+lNgxViL+ti2V3JWruLH5bzEM228+Fuu/xfy6Q44eauVV8hH64dXXiVaO6ksuUxoPfU/uQSwXFjIPz3e1WLUsQrts++5HX5mWysZLykELD3EsBZzCViSVqIvtWWMG4Ms8qI9KwTv37rFd771JxdjVhBHFGV+Aaw7ec4pV/f32d7e5tatW4zHY1555RV0WZGmKVtbWxwdHdFutxAi4PT0nHa3x9HRMXEj4Otv/Amz9IzZ4pQkGTCbFNSiNv/Ff/6PGY2n/OBnPyfJFty8cRWlDGvrTSqdcHJyTJXPWMxL9q9d4Vvf+iaHJw+ZzhYs8gWPHh8ymU3Z3lhHClgkM+7cuUdRpOzu7FPk0GotCKOIpIiwwKNHj9nevg72gOl4xJ986zXu3vuQ4eiYNHVjR6vZpchLTo5mtBo9hBQOFFE1LIo4qjkmn6cJIktUcwsdbTI2Nvt4ns98Pmc2myKlJJlrrl65gSekm9tETe4/eIjvH/HKGzcxpqJeb/K9H38fEOxdeZV6I+CVl6/w4MEdGvUujXqTwdEZkR/hCw8vcM+lMRYlpVugBT5VVbr7yQhqcZdFMmFzc596rY7RzufHGkm6yN18xfpoY/H9mEajwdn4kMPDJ1y5coWvvfYq9+4c8t67t3jjjW8ghGCxSMmzEk+FVCtmsfAQeCglQPhkicYK5xFSCkNRlFRaIL0QJUMsFVL6RGFMkkzACnwvRHkW36/RbrQBN1dSS8nIs9MxWMH1G6+QJMnHPr9fxVfx6+MTxqLni1m/DGv4SwUBX7qkwkV8Tifry3q4X0iIjwHmPoN2f9dGLxJffE77+Gs3zr/lN8bnGuJTzJN/i0af/f333Y+9SA7r0utTyazLyMHTub+VEnzHEjHNgKofUayHmC3gSkmwm9PqzdhqjdmsT4lVSbD0FFkxRC7gkEvoxLNsEfuU8LbaPfvrwAxx6fsXUMszBV/PHcWyYOtTnK5P/shFfOTKPgOK/PqWvoi7YrUSc/H0nHxiCHvhMeI8YewF60dd+udJjbYCLQSBXMlqPb3AFsBAaUELD62hMNIVBpUKLwOhBdIuZbUureM+AjisLuZl4PGF+/6C+cPF5+0zL1/Fx8QnneM/kviDBkY8z8PzFJUGKYUz2F6avJZFgZTCVeuyBDAkKKnIs2JpOO4xW5QMZykSiy0KhLQgDEJa1NKMWljwJHjamela4xbC4FTPsRZpFeCqigFXXSy9pRGsdh3DUktdCve+EhKkQMkVSKLRgERy8PAhk9vnbO1eYWejS2JSQpNQ5Qa1xFssTocdrTFCY4Rx+4aHtYaq1Ajlo5DcvHGTv/fnC0TYpCg1RVFiKid5leUlRVlhgSRJKE3pZLGsJklSsvkMrQ1hGKKNoVZzHhDn52c8fvSYIPCx1iCkWLItBX7g43kKa1fXyXdyLMqjXq/TqNeprKHd7VAVOdpa7t69z82rm8SdmLX1DeJQsJhJFouE0A9YzBL6vT4WSxD4lJWh3+szHE1ASBoNj8l4TL/bpxbXSNOUWlxjPpnhKZ8sXRCJiLIsybJ8KUdjCcLQXTPpEqq+59Nud6jFMYPBgGatRRDF1CvB1f06fhRzeHhMlmXUwohGXOcXb/2Kb37jm2xsbJOkGUVWMhyNODo6csbm2rK5sYkQLpm5vbXFbDbj5OSYPC+IopggCNnd3kFo6HXXSJMpVWUpKrj1wX3KMqXVqmOMRkiBWSQskhRnaKOwMuLkfEKWFUgZMBwvMEv2kzEVnjaURUmapPjLBH5ZllhbUO+u44U1fvKTnxDW1siLgm63w3Q8QVpLluYMR2PyvCQvNMqLMFpSZhX1hiUrCmpxnTCOSJOcySylv7HJzfU1SmsxVvGv/+a7TGcDer0+0+kc5XkY44C8drtNkszxA5cQH08nrHwCrJEsFmd0ux3CKCRJ5mRZRhg49oSTCLNobfCUR5HPCAPnt6Erw/6VPUbDAWEYMp/PmU5nrK2tUfMluirpdttIKdjd3XVJKKPJ0gWL2cxVRChFf60P1vmGtFodGvUGxhh6vR5YS1VqAi9gsVgQhAFpmhLHNcASLhlLWhtarRZFXjnPnzCgyHOUCGi1WiTJAikEi/mCcC9AVxWB75OmGR4+ZemeV12V1OoN4jjCWBgOh9y/dxtrSjqNJjdu3iSZz/A8z5msRwHNZp0oDOh128ymY3RREEUha/22YzVYSxC4/c7zjPPzc8IowmBR0uf69es8evQIHUa0221m0wmNRo08TTk7PaUsMmazOevr67RaTcbDkDzPsKbi8eOHHB0dYo2h1BVFVdL1fDqdLmv9deK4xunpKUmSMJ8vWMwXrK+vEQUR9VqdyWSyZNCs4fsex0dHjEdDlFI8fPCAfrdHWTjgTBvt7vFsRrNZpygLyiqnKDK8ZQW2pwJef/0btLsbzqMJyXg45d79B3zv+z/me9/7PtPZDGOgLAuqSrtkvXVT+Uq7ZKheyRVKibUGT0m051FUejkGiAsJwZVnxvOshhcDJvaiL4Wn7InLi7WVP4iwTi5SmpVfCVwwQ4QAVqyMy+0/v03x3Pur9llKSUqMNc443i49TwQXviArrx8j7FMWCAIlpZvQXsyHLSyp2M8sVS4dl9b6mf11x82zElrL4xdLr5bV9leG7Rf9hrWAd2lxu2wb6wBFACl48PARzXqD7a2tC48hx8pULBYJRZGTZTlvv/MOX3vtNfb3r/LkyRPOz8+Jw5iyLInjmFqtyXyWEfo1zocPaPf6RHHMrfdvEwRfY21jgzIv+fDRHcIo4Pr11/D8mLOzO4SBII5gOh0SBJI0HaNN5p7FswGzacp3vr3F0ekRb7/zNlak7F7ZRKmATrPLYpHw0s1reAqqsuDsbMzZ6ZzJeM729h6/eucXJFlBo9liMpmT54+Rwufll99gsch5++13WN/YRIoGH956wNHRiCpTNBvrhGGNLF8gpELKCIRPkiaUZUKn1+Dq9XVuffgL1jcaNJoxfqDodXtsvr7N7dsfsra2hq9iknlBPVJkUUiz2SJNDFlRUmhLGPkMJgPqtQZaw2w+ob++w/n5ACVD4qjJbJJgrURJf7l+kfh+iLXagR1WoCuDFI7RpLVwbFcT0m72aLfbDAYTQj+gsIYodkCqxeL5PmenE8aTY+pdyLMFaz2PfneHs4ZmrT/HkzXGwwQ6dcKgzniYUqvXMaZEVyClW+AJuSysFJLKSNfHqxhrFNYINCz7joKiMO47wiKsdABK6eTsijK7AAU95bG3e435LKHTXqNZ1y/oN76Kr+J3jY+runw+Y/BVBuHf6vitkrpfomT+Z7krX/RhPV/9/FV8bnGZqfw5NP77u44fWQJcAkUEl7jb8AyLw0343b/AQzcCqlaI7vuYLYHYqYi2SmrrCc21BZ36nH64oOHlTjpLmAvGwdN1wYrBIZaAx8Vflq/PS1jZCxzy1+Vonz+zz3/UXvz1U4KaHwvGPNfmxzT38UbtH9POp4nfue95rsDtBW2trsNTr5Hl78J5LV+wR8TSc0QYjDBo6VQEDI45spKRvjBnN05SzAiwlUdlBBiBl0uUUyjHwyAqd2+IF53YZ8CRT3l+X/Tcrf72RfXln9uzvyxC5DcD8n6jeNG5+yOLP2hg5KlRuBOhq9ViPE9itXFyUrhrJpcPsxQCXymMdtW/CsnZcAYcLGVWNNIDoVwnoJQzMldCIpWHEiwfUFCX9M6lkM4bxPOdNy4CqSRKKXxwRu1LJyFhzYXalhS4dpVHVbmFPVLiq5B8PuCXv3qXwJPsbzbJ0xmmSpBagCdRPk46RRtstdTzkwKEh7XSIbueoqxAVJZ6u83a9ibWqwHSsSHdHmG0pcIBA1VZUeqSvChJ0oTpdMrjx48ZDIbUmw0ne2QqjDY0G3W+9rVX0dZQFDllWVJVJWVVunOsKye9tahguZ08c5W4YRjQaNTY3Fin024RxW0qY4jiOlEcM08yikzjKY8sT4ijkO3tPZQXsMgWpHlJLa4v5T3M0gskRQmPPC8oMleNXotrpIucrW6XyuRUpkQISRRFJIsEpfxlwnxBEHjMFglZnhNFIWEYsbm1R55rFosSYT2mowmzxSllWTEcDtla36Ld7KJLQRjUyTPD+emYrCyoN2rEtQhroRbHS+mqKQJ48OAh6+t9hJBLs/CKPC/wvZDtrV2iIGQ+WyBljaKUFGVFWVqSYkHg+xRFQVEWFEVJo9liOh0RSAh9xwTwPEma5rSaTSrtqluVJ8iyjCCARtwgDEOSeUJU83nw4R3yyhLV+rx76/HynJ5TlQW+FJRFDhaqCjwvBh1iKovyFKUGY32EFzIeJ4RBl299+zvsXrnG2WDAwfExR0cnSOkR1+rMZwt0ZWk3OzSbLaqqQkjJwdEBlamQ0rK5te0Sk0lGUbrE02Q2o6Oa7tk3DqiL4/jCZL4sXYVt4PvEYUS6SC6qwLe3tynL8sJXREpBliTU45harYZSzrsjz3KwhpPjYycvlecAdLtdhsMhnqeoNxqAYDQasdZfYzQYoMuKaVkCUJUVjUaTVqvF+fkZJk2JpUJKzYMHDwjDkLIsSZIFzVYT35McHBwShh5KevS7PZfwXnokeB4URUKeg+8HgCHLFhhj8IKIqqyc70iuiaOYxWJOGPgUZUlcr6F85yeUJHPyPKHTajIdjkgXc4wu8X137GmaYIwhikK2t7dcJbQUJGmBpwTtdsv1cVgWizmzyQSv26UscozWCAyzyZjQ95DCgtHkWcp86mS2FosZUgoCP6DZbNFsthgOx1TVOUXhzNlnszm+kgzOzplOp6ytrTE8d8bxD9Uj8jxhNBw6E3BreZws2NzcRAlJMl8QhD6NegMhBLPpHIRB29yxVwZD6rUWf/Zn/w6d7jr37z9mY2OLh4+e8D/+T3/Nz3/+Cx49PgAhSNJ0mYDX+H6AlM64GySLZEqt7u4jW+QoAdI42UZrDb7nvDGqyjFHLrPmrDHPTCQuAyRPpaLsM3MNIcQFUAGOvXGxjrGrceCS9JRYze3shW3Js0Uyz27/2YXfJWaGdclaIZwXijX2mcoq8Vybz5ixG4O21jHDLirPuGC5wNNzstqflem6A5u8C+aMsU6WEbEasVbbcuO/cSYkSyN2t/2iqpZFCM5/ZFVmpjVLObvVpN5jOp/z4Z3b3Lx5g97aGspTQOCYDknKeDy5YD/+6ldvU4trvPLyKzx8+BAlPXSmUZ7P/YeP2Nu9ynQ+o9lskyQJ3V6HJM24d/cxRb7F5tYecfCAyfgYa0a88/a7NFoBvW6DNJtxMDqn3qizttYnTVLqjZitrW129wKOT4/54PYtlC/4zt/7c6QS3P7gQ9bW+kSh4uTkhHotJE9zpAiw1gEEeZFxPjin0exy/fpNHjx8xAfv3eNrr72BFD6/eOtXRHEToTyyLGVzewNrIh7fHaCUoqpALGU+rXCGiYgK5Rv+3l98g/WtmCeHOVFNMhydceP6y2AltXrI9s46RZ7i+4ooLhkPD5lOUny/geeHyAoOD88w5NRqAUHg89JLN/ngwwkHBw+YDMfsbu2TzQWm8nnp5pu886sPsdZDCp+iqFDSAwNBEFBVJZ7nu2tuoSgKnhycM5um3LwZsZiVKBmwmM8do6TfpqwKN/cTIWmS8/DREcYWJNMawj5hOJyytbHLfGrQWjIo50gREASRY/sKiZQKRLCcj8qnJYhLjztdueWkrri4v7FQ5KVLCFgAibUKg2vTmABPiCWwamjUe9TjrismsAVfxVfx28WvW5C/aEn9JUvCflZyNJ91fIny/p9r/Jbn/akM6POFGr/uS1wqD/+UCcxPeyFWzNzP5JqJpxOiz/se+MJBmN/0/P+RxeeRxLxIxP6Ofdmn/f7TRcGz3fuLZLQuIwCX25USK4TTGg58TM2nWg/JNyPstkDtFoR7Oc3+gvX6jH5tTsPPCJW+AEUus0QcFnLZA+Sp/K4bhZ5CI09BjEu7i33mFL7goC9aftrm0/e4aPmTE7svchf5uHCrm48rMPj08aJj/lzjY7svcXE9nPzZ8nVZ5CatdYwRjJPUkgaDxkM4I3ZrMFJg0JglMGIA41+4WaIjgbGCSkvKTKAyhTAWoRWyME6Jx/Ix4MjFbv5usXpGvij23+cCjvweOujPFYX5/cQfNDAiBCjlJFDAmUsr5RJYUiqMMa5qlVWRhSGOfcoycUnDMGAwTJjPC5f0EhKHfrhQ0oEbEoG2gLRInJSIEvKiUtVVBQuU8l2yxpXZIoVAWY3CoqQzgJVLSRO53Cel1DIxrlHKc+tpGZIVgiCskWQZjw8PmZ0cUpcW32qkX6ECg6dc54RWoBSVbxHKgJYoW6GEcUbCNYWIa1x9+WVKGaArgzUVuiqdl4CGsnJyDwEhZVUQaksQ+wShz2B4zmwekCSJ8wvpKqqyolYLePmVl52pra4wWKQQaKMxlUZrTVEUaG3Q2pLMEobDIfPZDClhc6NPr9ul3W4TRyH1199gbbNHNhtQasvm5hazyYjKKg6Oh2R5RRhGxPUaYRQySzLq9Sbd3gZRXOPBw8dsbm0jPR9PeXjK596DBzRqTfKywmJRQYhSinarjbEDqqrCANqwNHmvOwDN97AWilITBDFVlSGlIPRDEpGwe+UKkQrotLucHJ7w+mtfY3Njh+FoTKPRopqOKfKcwPc4ODjklVdeRWvLZDKh2WzQqNdZLBIePLhPVVW8/PIrZFnGw+PHXLtyg7ld4Hshuqo4PR3SaMYIwLOQljm9Xo8sS6gijad89ja3qIWWbit0TJl6k/FoSqfbIQj8pal2gOcryqKg1WwRN5scP3xEWKvxs1++zflgTlzvkGUVQiq0qZzRs4K4HrK1sUkctZhOEsbjGbN5QuD7RHEdCiiMYvvKVb7xp39JI27y6OET7j+4x97Va1y9fpW/+du/5ejkgEa9AUI6WagsJwxDnhweEoQRaxsbDAZnpLmr2D45OcFgubp3nSxLOD8fUG/EF7J5DmBIkFJSafcsOrZGjJQO2HTnvE2z6UAVYzTaVEghODo+REjppPIseEoynQyp15oILHlZ0ut2WSwWVFVJEPj4vs/J8TGT8ZCtpVG70ZpWs0kQONaIrgz9Xo+q0mSLBdpa9vZ6RGHEZLxAa02e50xGY6TCma/HNcp8Shi4xJ3nS3xf4QcSkVYOQDUWZVZyd5oyz1FSUo9rRIFPu91Ga009ipBKUZmSeZJwdHCI53ms93oM7RirXeI4Dluo0KPIc6bTVQK4cuwAhHvePcFiMcfzJGWZ8+TJY4o8I/B9PCkIPUWpJGkyp9tssN7vMB8PsbpaAjENJpOJ82FaPnueUhw8eUKe5RjrktvGWJSAPMsosgwhHJAXhc7jZDwaURY5nlQIa1ksFkRRRBD4aI1jIyDRlSbwfPxmC21LklyjdUVVaqK4xpPDEz748CFr69v8//75/8TPfv5LnhwcUZQlk9mcIAip9MrEW1BlBUEQIKQHRtOo1wlrEWmaEkXhxTXPihzlKYqixFoHkljrjssuJ5HW1ZJfqnB56uUh5NOJ0oVclnGMRGHtha8My6Tviupu9dOangtIZAk6SIQDIpb52pVklWNXiAuK+vNMlhfNdFbvSeWWL850fZXkcExIyxL8WVWALY/Tacu6du1z++iAnucBoqeSk2CX3iRmWWm2ZCYux/bV91f+JsYYpBAuwWwvHc/S26uqnPyZkhJTFERhyGA84t333+drr79Ou91hPptxdjamVqvRaDR48uQJe3t79Ht9bt++TZbnrG2sI5cg2mw+Z3tnl7v3HhLGIdZajk9OiOIIow3D4ZQ8N0RRi+/86T/g7v13OB8+osg15+cDdvY6hO0ar7x0AyV9prMZW1dv0u21mU2nPDo4QErBzZdeolaPaDX7HB0fcnx0ThzVmU1LtJmzvtEjTTXChmxt7vK9f/N3FFVOp9vh0aNjwriBEIpev83hwSPq9RabG1fIsgpQKFWxs7vO8eGYvMrxgpgit1gUUgT4KkJKyXQ25Mq1dZQqODw4YH9/i3v37zAaDHnlP3wZz/P51a9+QVyL2N7uoWTF2emAVttnMBpSr0v2ru7x9tvvc3D4hHojJo77lEXCB+//Cs+TzKYZgapjTUhVKjAehwenWCvxVIA1gsAP0bpEegopHRPDsYGVY+VKhSAkitrMZgXIEGMkRW6cTOOSYet5PkWZUVU+umoRhD5W9zg9HTBfVGxtNsmLFGsFQvgU2mCtJI4VRVkRRzW0Vsv7ellDZw3CKJRUWKuwy1mfu7+fIpZCOCaxexQVqwSUpxS6KPGjEF3leL5PaQtX9CLVx02Lv4qv4qv4pPhDAjF+n5Xln0v8hif/cmbz89iXzyQR9gWhIfaL2Nav2f6/heHwvM+BOfK7PtfPgxqfCI684G+rBYB4+pFnGOart6R05uqewjQCqnaI7vnYHYm3V+JvV9TXEhprCa3mgo6f0vJTQlmhlmwCV6h8Gah4ASiyqtq/+MxqN8Qzv7H83goc+bjT8snxaT683Ef7vIPJJ7X522eLv3BQ5FKsrsZH/iZYFmwuWSLC+Ri7PKfAYFBiCYgIceE7YqS+AIvc3Ng4pog1WOPAEhtIjDGYWFDVoGxIZCGRmUT50m234qP3+PM1fb8zOMIX29X9UYztLxg/L4ogvqhdeKZKc/k3Lo3tv9m+/EEDIy7p5BL6QoAfeDSaDQanQ8BQliXSdzI7UjrjdeVLJpM5SVZSixvkReX0s50GFKZyyCWW5aLaLXC1tc4HxG14aUS7lNGSK7kPJ8F1STkRaQ0S17XKpayRS/e4RNcKHNFaE/guIVdoi/ab2CBmtMhZ05Jfvv8hvVoNWRmsKFGhwQtAWUD7GCkpletkfOWjdAGmBCFJ7QGquc7O9VcRUQ2tNZ4EiZMxMkIgUOiyxOjleZOKLMuYTuaMJxOOT06Ja/HFUAZOvqy/1ierMscWWRpaa62pqgrPWoIowhqL0ZZGrUG9Xmc8GpGmcwLfJ8tSiqJgY73P6fEJs/GQyLfcuf+YJ0+eILHU4gZJrvGCGmlpsLlmPJ9gDRSVZDyeMBqNQEquX73BaDzGaJc0z4qCdi9gMp1gbEFd1JjPFxwfn1CWFVEUE4YRaZYRBAFZlhDHNbRxyeE0ScBOyfOcvMipxRHdZp1H92+zmC/QZU6n0+YXb/2Kfq/LaDoly3Pm8yl7+ztLFoDg+9//N9y4+Qrr6+ucn58xnRmyLGNzc5N2u01RlGysb6ArS1HkbKxtABpLQZI4nfdet4VSEIc+VVkwlwXGSNqtFrUoIJ2f0al7bPbWWMwzgl6NZjPE9z3qfgswFEWK71XEMie2Cp+URtxgvd9yABaSdqdDURkm0xE3b+zTacU0agHbmxv4Xo2iMDx8cMgPf/gTitLj9t0Tkizn//B//D+xtrPPYrrg4SOXIOystbl2c5+1jXXyPKeqQKqAPM2IQlc97nKnzpPH8wK63T63PniP9fU1as0GWIHyfbZ6O4xH5wSBA+mGwyG+7xg/s9mMTrdPnufUajWiKOLw8JCNjQ329/c5OxtgLZycHBHXIoLAYzgccuXKHudn5zQbDTY3NxiPxzQbDRCWw4NHNJsdxuMxcRSxs7NDUeScnZ0iJAS+z1tvvUW73abb7bCYzdFaE0URZ2fn7O7scPXqVSbTCWmeE/g+g8Hgovrf+VZo4iDg6OiI3d0dBBBHEWv9Lufnp046y1QURerMfL2AIKwRhD6eihAqIIpC+r0OZZlTC0LiOOTk8IhWrYbOKqIwpNfrUZYljx8/5t6d+8xnMzb6awyHAyphaMTO3N4PPCf3VRToSjOZTAnjmrtnJ3MarSaj4ZAsSwh8RavVZLGYkywWdFstjNGcHh8zGY+I4hBjDEdHh4zHY9rtNlgcmLVIyJYA1ng8ptlsMh67ZzpNEoQQXL16lfl8zvn5OWvr6xhjiKMIsMwnY6IopFarXXg1dbtdyqrCLH2MWq0Wo9mIIAgJgpBGs0OWl5yenrC+vstf/bN/zi9++Q5+EJGXFWmeYRHkReH6QOWSlIEfoI2h0hWNuLEE5AqCwEcIgR8EDqTPFUVRMExTN4m8YEk8ldwSS/Bgldy/mFGIldn6JVDEWidFZS1SLv00cMlf95WV/8ZTUOECZFkCBFo/ZZqIZ8zIL9dKfXRWs5pbrDxDnn2XJbbzLEtF4iqBnh4TF6CLtQZxUQ7wdHsv0nJ24MgSKFOKlSTY07C8iPVSVdVTgAWQQgIKrEYIiVP2Mu6fduaAnpQskgRfSd7/8AN+9OMf88rLL1ELAur1Op7n0W63yfOck5MT1tbWeOXVVzg9PWU6ndLv96nVapycnBCGoGTIfDjEWifLeXj0hFazQ1loHp8fk2cVV69t8/LNN1gkE65cuUFZDdhcr7O7vcHe3hXA4/aHd1gkCaZ04996b516q0mpK4Ig5Px0yNu/fJ/trStYo/CVQinNYpExOJ/y5OE9arUnlKVGa/hP/lf/a9577z4f3L6DMTl/8ff+jPPT/z97/9VkSZJneWI/JcYuv87Cg0ckraos0tXd090zs7vds7MLIvsF8LJPEHwsCASPEAFGsLsQ7AgGwGCHdnd1cZY0eISH0+uXGlOCB7VLPEhmJKvM7EpNyXD3S8zU1NSUnPP/n3PGnY8e88Mf/Ij/+V//v0nSjLo2TMZzBG10pJiMFsRxl6owQRrTOc7Hp2RtQb+fsFick1cTJmPN9Ws32N+7zN079+n1uuxf2iMvpnhfMh4f4/yCP/vzH2Hsr3nn+29x7cYtohh+/WuPNYa9nQG+zjk7PSBSmkF3j2vX3+K99x6glSOJu+BKoijD2SYt3zkWeU5bZk1wig6bLy+RIsI4SOI2WmdImeK9JS9LtI7o9wZopal98J8xtUOKFHzK9tZl8C28n7G7M2QyWZBmKUouM44UURT8ieK4TV2H4JfwVCm0ioL8nLGrDGEIGXhSLrOqVk/bek0l1CpzSipFHCuM8UgZU1Uh8zZOYubfeox8Wz5z+YRN4ibA8EXs2b+szf9njbZeozx/zHjvZy9fWcbOp0CtlvcYPvk7X9Rl/EG4kT9wmy/P+cf+nHzZclqfVY5m81n8zM/lxv3dHKuXxwxRSBBpRBxhhhn5lYz6akR6vaB9Y05/b8ZWa8Z2NqetS5QM2QNSrIH0i50orHlcs/oRF2vzytTC8wD+szkg6zHjs8O0ayLm033nG1aaKTH86ldkxqo078mw81v9pwiZ5B6LQ2CXmSPC42QwX/dS4LFhzU7AWJ20OCXQXuC0Q8QOl0hsJqjbIAuJXkh8rMNa2dng04x/eR//PM/SV1VeNq19qQEBX3JZzht/iHvxHFm2KTvevCY+XSN+o4kRY4NUiVKNWbgUpEkDUilFXdcIILEa6x22skRxFIiQRpNaqAgvFda5JsvEY71HoBCu0dOTCqVUE3kbogERAaiSMgzrztugbS3Au0beRCpqIXEuADtahM95axuIqOk0tQcRBUZUaCzgnISkxWjhqMiYGoitRBNjTTD9pa5QSISNqJ2jkh68Q2PIhMObHKE1FRZnJlx9M0IqjROB1DCmRKVR6L+ukS8BIhuFzJsoIopThltD4jgOm3URmF2tNUma8Cc//iEyCib31tlGi36dKVIWFUVeMB6PsbXj4MkBv/jFL5icn9Fpx7x2+zV++KM/4e6dO9y5c4//1X/zN8xnZzx5ekyv2yLRivNZifeC8nxBvsi5dOkyRb4gijWTRU5ZVCRZh7KuePj4MZ1el6OTI9rtNkjPw8cP0JGm12uzWCzI84J2u0O+OMdqOF9MqOoKh0DriOPT4F+QJDFlVeBtCXimk2MiPaDTafHWm1fZv3SZf/Nv/i1/+uN3SDON1DW7ex2sTXCug9Ixdz+6wzvf/yE3b97m+PQsRAJfuczx0SG9fp/dS3s8evQoGFFVhm63w9MnjxlPjrh29TJ5MeLy/jbXr29hqhnT8QhpI0Ynx1y7epksTXFmjrcz2rHjycN7xFGC1jF17egkKVJrYhWyfBItOTg4Jp+OuXbtGtJbsljwnTdv8Nabb+BEQpL2+Pkvf0U+y3nr9ctkqUdJQ7ttKGaHdFpdbr62xaMHHR49PcV7x5//k79i/8Zb/O43vwMc333nOyA8cSZpd2MW+RSkZzDYQUqN0kFz0iE4ORthvcdYy//1X/0r9vZ26HQz5vmCfm9ApBJG5+ecjU6pigV7e3ukaYubt/q02x1+9atfBe+IxoR5Pp+zWCzo9/u0Wi3u3r1LqxWyFow1TCbnJEnw4SnLHK0UZ6enaKWI44jL+5e4e/cjdvd2sCYA2lVVcHZ2HDJTaoMQ4RnvdTskcUwaJ2Q7CYt8Thwl3L59m6qqcARyLUlSqjLIzaVJzKwxapdSMJ1M6XXbnJ+eIpC4NOOgKpDSYZ0jTWMiLVFKkKYpeVlRI4k7GSenx+BlM96VLPyU0WjEoNsBD2ncIkk9cRKAtbKsmU6n9DpdtrZ2qHzF8dkJxydHQJAMK8sySFXhAwEjBYNBj7IsGZ2d8ic//lPKPOfBvbtUVRky9SRUVdlIZ50jvGMxnaKUYjGb4YwJ2W1SMJtOAtAvIVIS4R3O1HTaGdY4nKlIopiTw6dMJhPiJEMrRdJqsZjPWMxnjfxgzWQ8oq4yFouQBSiVZGu4TZa2mc3noa9FCo/g5OScVqvP9vY+/9P/43/mt7//gHa7T14E35OqsrhmHrHOY93SRN2SpglCSIq6WMk9JUlCq9VmNl/Q7w/QC82j8eOQjSHXBuObwP1y3ni2bMplbZIEwSfrGbKEZs3UZFwEzmAj6mtFRvjVsZffdc5fkM8KBMmaaFlmXbzI7H15nDAPrKWzVr4iK/JHXDi/bLxG1tkjFz9nrQXhG8B4ubZdkjzu4nGa+iyzNSF4WC3Pt/RyARBN20kR5Bbdilxp5IlMjYwilBBY6zk7O+ff//t/z7Df5/bNGyRJhnUOpSOEUPz2d+9y+fJlyqJgeycYjH/44R2yVouqrDl4esJf/dU/YzGfUpYzTk4OSdOIg4Mn3Lr1BkV+yMnxiHY74623bvPD7/+YuFWjo5zp5AFRBA/u3SfSCcN+H1sbdrd2OD8/D3KgznPng4/wCJK0zV/+k39OWeacnB4xGG6xu/caT57c48njY+K4h5YZf/JP/oy8OOH8fMFksiCJAoHw9OAJ52dj6qrmb//27zB1SafbRuuEulY8evgEY8Jaqa5L4iTGuwrrSgZbLQZbMd//4VscndwJ0nYCbty4QRwlzGcFjx8/RghDbeZsbXfY2e5w/dot2u093n67otNp8z/9j/8jo9GYSKfM5hO2ercxdcU73/kBu1tbPH54xGCrz29/A4tZydUr+9SVQ6mokZM0IStEqeAvpROkBOPCM+acR0UxUZxRVp5+FAMGpR1RAkhJbS06CobtUZQym48R2pG2Iso6x4uaOJPEkSYkaSiEUAgpw5bQC6SXoa+tMpwCqRf6WTCE80LgnA2pqYTIydoEeVUp1QqPCJll4ZoIvR8vwnekVggvMcYQ6W/00v3b8o0vnwKk/rIB9M9CvHxZkaFfJgn0lWULPFM+4/X5LwJgf+X7tlwP+YYg+Rq027flG1u+1N7zRYCHn1uSq/n66gUfyBCtQGtsO8L0U0w/gSuC6JohvVrS3VvQ353S683pxwUdXZLIekV2yGUgsLjoFBJWR89ngbxKeZbm2Aj3emHSgN/4+dlzOb6mYPvn6JhLumf993oP+bJutLxLoskekaLxF/EOhQjG6z5kimgRgq6tdAETFaBlwECdFFjV4KFe4LTFOYmPLCTgUolLBS4V2EQijERah7Csk4r8ZoU22+RZQP4FDMNXRu5/mvIsXfjZvvmVltXNam7Uyy7j046Bn3TfNjCLz3KHv9G7KyUFUgRixDlLmmYNgLUGVZQO5rdBcgvqqsYhsRa8kxhX0+3ESClA+aCP54J+Oc6Cd0hB85pcD98NIOUaJMcDVgqEDRkmznsQEhFlYYLxYKGR2nKNJ23z3YZMX66pnRdYWVJagUxaeIJnyaJYkBLjZUhbExa8cAjrqQHrJVoocAbnDdgQeeulI1IahUAriRQSLQV4GQyDfXOcJsrGextkiCIJRKRZFgAw65Ba4hrz4bIBerM0aaJyPRpJFCvSNG1AM09dGV5//TXaWZvf/fZdfvmzXxJHktdvXWN7Z5df/OIXzKZTfvgnP+Lo9ARTTOld3cU5yyKviOOE2jgQiqyVcnZyjLMOHQVN+crUQV/cGkQUEceKONEgffBaMCXtTod8Psc7g/RQzGfgbci0yMPvZb7gaHzOpUvBX8E7x2w6IdKWSMH163vcunGNLEtJkpQ07TBfjPkP/+nf8S//6/8WYw3DYY80jRn0Bzw5PGWxWPD4ySPG4xnWCX75699gjOEv/+ov+MlPfsKNoxu02y1sbXny+IBr16/xwZ0PwRuSGNJE8cH7v+aNW1vs7vW4shUxm5yhBxHX9zukacLo9JiqqIizjEt7r3F6eo6SEXfvPsRaQ7fXpaoKer0WxtYMtvrESlPXJVLC2ekpFkGnv0ttDMXsnKODe3z/u6+zM2wRqRpTVthiTKIlUlZkyvGnf/o23/cxv/ntY+7fe8T7v7/D/rWbbA076Ajy+TllPce4AiFjFnmOcYpIJdRmBmUJMmiwdzo9rly5zNVrl4NUU1Xw5htv8/jhYwpb8b3vvcP9+w8Y9vtMpxN8G4y1vPvue1y6dAkpJbPZjHa7g5SS7e1thBAcHx+zs7NLmrSYzSdEWrPIc6RytNtBy/8nd/6BdruL957RaIRWkjfefA1japxV1GZJ9BmGWwNw0Om0mZyfIwiZULP5lCzLaLfbzGYzFvmCN15/g3m+IIlD1trp2UkwMi6qYBRuLaenp2gtuXplH3yQfNrf3+U3v/k1vV6bbr9DVRchk1lG5HlOURmkNOgopZ0lnI9ngGZ8PqLKSwb9LmVR8PTggHmRk7ZSojii0+mRZRnvvPMOVVmxyBccnhzS6rV47fXXefzoEU+fPl1lKkRxzHA4ZJSf0+mEdh0MBkQ64tHRfWazGcNhn6tXr3Dw5AlPnjwJHi7WUlQVxhimDTkyGAxQWmGcpbae4+NjwHPv7l3A8cbrb3Lw+DFaRexs75AvFhwcPCGKYi5fvszTx09CzI7wJHEcjOuriroqcM7R7fWYzWdMp3MOqyOiNAvZNlhUJBkMh1zt7/Pg4QH/t3/1f+HweITUmulshiUA6LaRhrI2AOxRFOGcoyyDh0oURUgZMl6EEERRRF7kxEmC1pqj42MWTbbLJsmxJA6kDHqrsCZLNj8DXAD8IQQ6CBkyLlZlI6V7mSGyLhdJidVnxPPkineOZppazZkXTeGfib1aEizO45feIdDIVl38zOqal0RQQzYtP7PpmYIA2WRmLr/3rGcJYnnMJQmjXphtsgSUjTF451ZkimBpG7heg0VxDN5TVRVpHAMwm804G43YGQ7Y29vjfDxmNpvTare5evUqo9EoSHedjeh2u9TGcG17m5/97GfcuHGLw8NDut0209mUXj9kUHkP7733HvuXrvPkyRPq2pHnJTqOOD87I80MpnRcv3wFdUnw85//guATprh/9x5KRZR5ybVr17l18zYHB4eMzibMpr8nzWLanYy6dvz+dx+RJApJQl06FJ4H9x5TmQl37/xrIGJvdxfvDApJlmZ02zCezLl9+yrzogAfMZ+XmFogRUKkPSHrxmBtRRTD6eiI7b1rJKkgL2akaYpSEU8PQjbc1vYA70UzXmwznY64efM6+5evczaac+PmDf7v/8O/5uGDp7x2+w1AMLx1g1Ya81/+y/+GduLo9TJuXb/Ev/n/vMd0umB/7xZCRsRRymJeofXam0vJCB1FgRj3EqU8xgYvHyklcZyEjGGhsSIQD3ESoyOJMXaVwSWVxHhPq9VGKs1kMiZJWkQ6PN9SReCDf0jIQG606Vj6riyjIsXG8ylXGwPRvL/kT1aBMcI26z+5+r640K8lYJugHI/38luY79vy5ZY/ig72JWWNfFmgyzcd3/9K6v5Nb7Rny4sApH9M1/c1Lf8oJG9eUpbj1YWfIkhnJTE+TTA7CcXl8H96taR7dUFvf8agu2CQzegkBYmwxNJsGKwDBInd53M7LlSAV+nDm4TIcpX1LLXSbHTWtjjNaxcJgGe/8/Uo/pmfn+0Ir3ZFy1ZctsVFu/uXHDMsSleEl29yR5bG6xKP8sF83RJIEScEToL3Gi8EXi6zSgIR4lSQ1LLaYZ3FRwJiiU08JhWYRBLFHldJRL3pOtN0009iu17Gkn2tyif0/2/6FPYqdf+yM30+ZVDJN5oY0Sr4fcgmmCbLUtI0w0uPcRbrgyl7ZQzGWoR3VCZ4YSw9PbR0XLu6S6ulcL5opKAALwO54UzY5tqgWb0CjjwXImXDhjdslFcSI1JRexX8SZobI5wPGSQbMimrDbAPDK4TkkorqpM5smoRO8+tS9v4ckqCwjhBZQFhg5mVcdQejAzRMd544mYD7oxFaoVyDl/mJO02Tkqk8CihEATgygqPUDTRNRIhApAXRYpWq7UCs4L5uiXSEXUVPEriqIP19UpKJUTTN9ckPFGqKeuS2hh0okg7KcbmPD085tGjJ+zs7tHp9viHf/gHvv+9t7l6aYeqLNkdbFPmc7Ty1FWJtwFgU0IQp4qQX+eJpUX5CoRDCcHp0WPAY6oa4ROGW128rairOZGSdNrtYJDd7lPXOaYM2QXjyYTtYZdWEsi0qi7ZvzRkOOiihCPSEm8NR4eHaB2zyGus9fzgBz/k+OSEIl9QFnOKxZTtnR1+8rNf88tf/54/+yd/CUBe5Pz4xz9mPJ3y3gfvg1acjkacnJ0x6Pa4cesmJyenbO/s0m4lfPDRh1y/ukci4PTokO32FXYGHdrK0FKG06cPGfT7DLsZuYLc1OT1HBF5hPJs7Q1IszZZlmGmNV7CoD/AeUOWJOhIU5uKqgJXSUxuqY3h4eMnXNnb4/tvv00aJ5SLHOUVWkiEUqHrlhX9XgsRdxhuzRjPFW98502SLADWzlcILXDe4LF45zg7G2F8RhSneKUpqpqsrej2OiyKgg8/ukOrnWK9Z3R+zsOHD/noo7tsbW3hnKfT6dDpdNBxAsDJyTH7V65RVRUYw2JRsFgUJEmCUhOMMYxGI6qqIo4KlIa6KokjRbfdptvtcHJ8iDGWS5cu8eDBA/b3dtjdGTKdnZNkGYenpygV8cEHH7C7u8Og36NY5Dy8f4ebN2+S53OmC09RLpjNJqRpymKRE0URH3z4HsbUXL58hTTNWBQV3jviOOLatSucnZ1TFiWVt0zGY5QSdDtt8nzBtWvXmC8mnJ2d4L1F6yAzZqxnMNxG65iiLBEyoj/oIBEoMaQqKnZ2tjFFydnoFOdDdsuDBw+4dOUyRV1w/PSYQTfIfzn8ylOh0+mglKDdbhPriLKsGQwGTKYzvPdkWYsiL3DWBo+bfNHIzxUcHx8xnU4YdLsUeUFVlERRRL/bw3tP2cjX1GWBd5a6qnj8+BFbW9tcvnyV87NTRqcndDod3KDHfDbh0t4OrVaLPJ+xvT1ECMFisWj8QmqsqWi320RxzPn4nDhK2NvfJy8qpNQr7w+dxiwWhnff/S3/4T/+Z/KypixrdJQEfxNnMdavFs9LOcDNDIW6rnDOoFQg8pRSzGYzkiwlSWA8GTObz8I9URHerUmIzWyKi0Erzy8ELpABy02FF0gZrchatyIvwuetsxcm/s1jGGvwOFSTDXmBjPFLb481CRGOuUmqrImaFenRhP8s58OlJKTduAYJa3IonHB1zCURtHxf6bDgvTifrosn1FWyuTl1za+h/ptZJUopcJ7GAQUIpL9cAc9LfxTAOeI4GK0rqZjNFnzwwQdc3tsDcUyr1WI4HDKdTrl27RqTyYRWq0VRFBhj6PS6CK1odTuMJmPa3T61MwgpKYqCqqrZ2tpiPi+I44grVy5TliV5XjDMEkwNp/Mx+XzMeDTCYyiKGTs7u3gnOT4dc/Pma1gPx0cjzk7HeC/pd4YUtSFrZUDIovjww7s4U9PtbqMjRTttN1mgCf1eF7zg9PiEx08e8M7bb/Pnf/ZP+Lf/y79je6fLd7/3He4/POAXP3+Pk2NLVWg0UcjsUg5TV0hlyYs5w602//v/w3/P3/39/w/vQ0DK8dEpp6djvvfdd2i3uozHI5TSFIVl2L9MXUYcH03RsQYc+WyGQjHsbbO/v0dRTtjfu8z7797jn/7lj/joo99z8+ZV/vpv/ks+vPO/kHV6CKmxXtDqdijLGi8FtXcY70h0eM81fSIQM2LlM2WMadbeDakgmqWO8ATPjiCDZownijs4l1IUU7Z2BnipsQRiBXR48BTBY917vFs/N0JcOHjT2zw0Mqvr52qj727IxIkGRPAXFvINDCDC677Zjn5bvi1fZGlwD0J/bV706/ee//ALDvLsBvSbJmvxRZYlcvO1ADW+6ejKl1m+CW0jXvAQ8o8XrP+alW9CD/lMZZMMEYQoKa3wSuFTjRkmmEGC31fIq5721ZzObs5gZ0p/OKcb53R1QSprtPCoBmJfLm9eNvp/3KzwUupvKY0nllRHuCsvhPKXw+6qDmtCZZNieXUq4cstn5kUESBWgXKvdkWb737a84mNdcEya+SiAbvAItBe4oTDCRf+bggR7UR4XQq8arxHlMA5gdUCH0lc5HGxx8WNQXsk8drhlWiCzJv18iuB6eLi76v6f9yVf8EBE69Cqn5hwRSh7v5l67avrLzCda0q/cXWejV2f4qm/UYTI2HRGVL1nHNEUhInwXNA6saI1TvKqsQYE6S3vMU5T54XgENLuLQzYH+/i3cLvLdYGzwxAtgSzIWEDySCEAopaPTaG9DLOrzwCKGaqEERGGsZoj69oJESceGndXgXUgtXnIh3q9+dkMx9xGJxh/k8J3GOH719G2XHaOexVmCcACqksGAiKmupCJG0vnak2iMx1MZgVUQVtcm0QPu6sf9dm+UKIQOb68PGPkQtN0CYELSyLICaVY1WGmcdaNGAW5YoVlQutLddtolrwCwpUSJ4qAB0u10shqPTU25eucpwa5t8kTOZjJlOZ0ggn8+4tN3lB997i/nkDFtX1LWhqswKsIyjmNqYkIHjAxHjvac/2OLR48fkVRU8DjwIUxIrSXe7SyuJsc7T7+9SlBV5XhDJHsbUXNsfoLVeAWG19bTbLZx1JFFM1kq4d+cjDp4ekqQdFqVhe2efbn+b9959n16nxdnxGd4WeGvZ2Rryox/9IPhOtFq0en10nBCnFVeuXgPhiSNFEiecHp9weHSIqR3WChAxu7tXiZSinJ9x5dI+7axFVVdIHMN+D3wbrRRYiKIYkQoWVY2OBc5aBts9TO1QkcC4Gi9irDcs8hnz+YR+r0ttKhYLx3B4jdp4Hj0K0ij/1V//F0xG5yRqgJkFyTURxfjagPQ4a0EpokgFwNGLJgsLhAIvBFJplIqQQuO8oDQBpK+swyOQUUScpDghyKua2XyBVGs5HYB2q0Vd18RxihCSp08PMdYQ6Qgpo9AHpGx8KSRJmrBYLPAehltDrHUkSYs4SvDe0G638QQD29OzU44Oj+l2O3jnGZ+f8+brtwFPp9NiOp0wnZ6TJClvvvk64INHSyxwzpDnM9I0abJVgkG3jhStVspwOOTsbESSROT5nKydorUkLxbBXHkyJY4TfvjDHxEpQVHOOT8/o91Kmc8n1HUwvu91e7TaGcbUeATOsYpW7nTaFGXNdD6jlWT0eh2KKOf0+BDhPdPphFk+p9PrcPna5UB86IitrQFxlFCZCtlIYCmlmE6ntFoZnU6HJIpJkpAZMRwO2d7e5uTkjFarRa/XYz6fobRGac329jbXr19nOp1yfHwcMhGWPirGgIA0zTDGUNf1ygT89ms30SpiNhujlaI/6NLKWlRVSZolRErx+PFDrly5inc1zoOSIJVEK01RqBVALaUECdZ70qyFMZ7FosQ4yeRsxi9/9Ss+vHMP5z2dbp+y8pS1QTSEQW1qYJ2xIYRYjVlShsiYAK4GCa04jlfz7GQ6pShKFnmOF2sy5UVlMyvjudnM+9UYvMyMEEKuZavCAYIM1ZJ89+7COmJJloRjCJSXSLXOmHSNMfra2HwNxj7r27F6r1nYrUHb4A20nCuW5UK2yybBs7wuwnyyJosamSwrnjv3+s9m3myuSyq1mu8322z1aRdM7KMownlPVZv1Ir7Z/LkN0korRRxFJFGMNxYRa+58eIfvvPkWZ2envPXW2xgTiMDTRmJRSEWSpkynM3QcM5lMSdOMvJGMTEpNu9WmrjVSVrRabfK8wjlLni/oqJTx+YTaKOZ5wXC4xaDb4v793zHcSun1+zgsV65eYTJb0Gp1KSrD7997l+l8TpK1MJXjbHxO7XLKcoZSkh/98E/pdjqUecXR0SlJlKKUpq4qyoVhZ3eLWCtGp0d8+N6HtJIW/93/9n/D6fkJSZrQ62Ts7uzy8N4TTL2UOgOpQODQWmEdbG8PePLkIb1+h5u3/4xHjx5TV45W1qc/GDCb5URRwqA/wBrLlf0b7O1t0+9nnE+PeHD/Qy7tD2i1UvLinLPTsEaLVcz52YhrV77Lb349ArHHcGuPra09vAvm5XVtiUWQNjXG4JzFiXCDrQ/3dpnJEUhDh1SSYhbWgBDWLVI2/XtjrSOEpCxsMGU3MVm2RZb08L5GeJAixhMkGPGbWVybz9ELn/pniI716wE73cwqWW/+N4eQpeLzt+Xb8gcpn9TVXvj+C178OgO3K3ISVnX/Glf385V/JBf2qS/jH8l1f1WlCcx5HmH7uhB+f7zli0tMCwGnSIEPJqb4VoztJRRXIvKrEfGVmv7+nMGlOd12TicraMcliaqJhW3CNF5UkU3XD39htH05/PksDfV8xsfyM371l9/4nlj/+4ITbeaZfBLh9YcEltcrvFc/6+rxbNaXL8/8+JRl1TDPHucirSKEaNbGIVvEETxHnHAoL1Zm7F4IvLAhmKg5dPACDD+dElgncFritcJHPpAiMdg4BM9J1fRTt1m3l9y9z9MEFxv1ixnnXjXj7PM+1M/U3fs/bB/+QsqXwFZ+2sN9o4mRJWYT0ruCzEaWpUAAPSpr8EUOLoBatalIEo0TnrwsMbXBugphKjqJQImgB21tAMW8A6VEyEwRKqwFwhMdoleXYA3BVBOlm2jb5gEOFQERCBGcxVsXjmP9xlWEzy0Hf680uUz5/fuKyXGFmRZcfmNAK5IoaryN8F6DqJDC4Y3EOkuNx6HBKSLlET74fBgVMfcJk9ojhEEtpU9UGGOEDIlxzgUASgmJXae5kGVBosxUQQ8wz0ucDZe4WCxQSgAO2WQTgERpgfFBW9BYg4qCPraKFa12izhJKI1jdnRKXdfUZYioreuSSMV0WxE3ruxQ9BTYCi0li/kCPERJRBRHVFWFUjrU3wVQJGt3qRYjTk8LEu1J2x36/QF4x5OHd5kVwRjelAHwLmYzUq2JsghjSlqpIp8esjUcoFRKVRqSTo+Dp0c8ejiiWBQkUYapPSfH56AzHj44QKmEMq+JMs1Wf4h1Na1WSnV8hvSCSzt7bO/uM5nOydptPAYhBa0s4fDpU6Ik5t3fvctbb77N06Mj7j14wu6ww+CNa6i0hakM+XyB1pa42dBpFSGUxgNSaXA1USSDpJiQeG/x3lGVJXhHkiYYUzPo9zh6+hTv2yRJwt17j5jMIM8LTkfH/NN/+pekmUbpBFQAGZVKcNWK9QDZECKOYDTrPAiPBcq6QEmHt2CswFlJUdU454lT3TyLNmjDexAIsiyjNxgQaUkiYg7tEwaDAU8ePcFZj9YahERHMSKIvVMb2wSReITSdLI2ZVky3NpBa0mn2+WNt96m1+0xPhtTVTntdpez0RGLfIIQgrfeepP7dx4yn05QQjA6O8W6iq3tAP7v7e7Q6XSIoph8sWCxWEAcceNmyFSp6hLf+FHUFmIiirrg6eEB3U6H8/MxQgqqqkQIHTIPJI38jA7ZVc6R53lzfyq6vU54nmsTgM26JooiqtoSRZp5nlNWE7r9QQB+sdSmIF+MkUKStSKUkCTZLvO8TVHO6fb7xGlEXVta3RZKqJClojVJmlKXJd1ul16vw2I+x1Q11jparTbnozOkEMRxTD5fBLmxSNMfDoi05ujoiOPjE4wxJGm2Sp3O85LZdIZQksl0itYRcRqjlKQsa6TUTM7PcM7Q6/VotRKcqYGYqiqonOfa1StIqahNHTKRlhJNMWFMMgYVBcNlITXOhb6iY8Xx6Rkf3rnP++99hNQRe7tXmrar8UKidLRhLu4acDQsppVSdLrdJkPFoqRCygBcBnmeuJHjiSjPRuRFAVIRSUlt7HNA/7JIIVYk7rPvLeetle8GSxVGiWt8TcIxaGSwlgTDeh4J4L9vgGFQDYgsGgkh59bnWZpAL7/X8OAXyI4QORPmBb8kT1wzU9lA5q+M5ptr8X69AZLL30STILkpldUkcGxm1Cy9R5Zm68vPejxehIX3RuA9S/mtkL0iAyHnQwo3Iszfq4W42CRkwv1WSvH6a69xZf8yv//N73j65AmlUhwdHZFlGQ8fPmJ/f5+iqNjfv8zJySknozNms3kDumtOTk4Zj8e0222u37jO6OyUw+NThHcMBgNGo3O01symExaLGds7PZI04Ze//DnWFi0gDAABAABJREFUl/zZn30frVLKSpC2OoynT6kXJVGSELdS7j24z3Seg9D0ekNGkylFYVBaM5tNaXciFvmCVtamKh1HR8d4Z2llPZwVFIuKS7s7fPett3n8+B7l/ApaKv7kRz/i6OApR2eH9IcDnBPUlaAqPMJHzSYrjC++8aZJ04zt7S1++rOf8Df/4i+5fuMyxyfHXL12hdHZlMlkzP7+Hm+88RqLecnJ8TnjkWd6fsK167vkZcn1q9e5vH+J9977gJ/99Fdcvvxn3Nx5G29bHB46/pd/f4ciTxnPj5hMH3J0OGVv7wpaJ2glKcsq+MoIkLFCiwghw5olmHkqQuZtWIvpOMZah7WhzzsXMmyWfc1ZF2S2rMcYh9YpdQXd9hZaRyAUUnrwMpijI1jnR20SecuN1JJ0XMMAYskGX8gOETS5VctXmr/BN1lOSxm5VZRc87mvM978bfm6l5d3nlffQP4j6oBLMOFLuaYv67h/JOXThnp+lvLtLfr48qJB4Y+uvb5eF3xx3+CfffPVQdiw4MfHGmKNTyPMMA6ZIjsarjmyaxXtvZzhcMb2YEorLslETSJrtHAo4S9kmYcaiQuZDEIsaxnWZIKPQ2xfTLC8KLAkfHoza2S95vLNeV6cWHCRbHlh86xq+/UuS37/C10TftKxNm5HkDTzCBGy+hXgGymt8I4Nn18udeWywutTOd8YshuFixysskYELpa4yOG1CFkjTqyIoFU9n+sazZ1bMQOf8i6uGvVVGuNVj/kpbtKn+ezLytdryPoU5RWeus8wZ3+aHvCNJkaUCLJKlnW0aq/XI+i/a5xzK+ArZHCA9QahRBMhHECfushDGqC3DZgkME5C49mhVJBfsM41ciSWMLiHza8nZJKsIRixIjq8NSuwLYA2fgUGwXLAXg7wgWARUhEnGSpOqYxlOrMYF+GVB2lROgqyUqJhxWUAi5RcBnc4pDcIV+GR5K4mEgphPUKlIFWDnSl80zDBJEuGDAspAvFBIFCyNCOOE7yfUdcGV1usCfIt09kUHS2lt5YSJRKhBI1naGgpIbDGoeOIVqsdfB7ElDhKKOsQyVlXJhjUmwpX50TUxKkgkjEKh64MSEgyiVQeo0wj/yUhKB0SxY7Xru6QarBe0O13SeKYxXzG7rBDEgm6vS5CSMbjKalusbu7y87Va9x9712kkBSlxZTnRGmKrUpq4N7dD4iVoqxKTs/G6LjNYNhnNC04Oj1if3ePrX4HW0xxNsfWFaULpqydXofB1hDvHa12i0VRUtVBok1ISZQkJLWhN+hzdn5OnCak1nD33h26Lc/1S31qb0g7PYrzI7y09LpthJKNabkDKQPJ5TztpIWpPWXlUSpmPs9RXrMYL+i0U1LdQjmJsAItNds7W/z+vbvoSHHlxg6DnYQiP0PgcbVFCBfAJu8QUSCval+SSI03niRKMLWlyEuSdoKONQqHUDGRaiFFTL6YYKwjVQrjHNaHjKXaW7TUqEhjjMM7EyTLXCBqslY74LKNZI/WEUhJVVX0+n2iSJMvFrT6LZRSjM7OSJKEuq4oiiDfdDY6Z3x6znC7S1XnK6LBOceDBw+I45g0S7hx4zppllLXUFUFr92+xXiyYDweI4Qk0prBsM94fM5iMUNK2WRAWVqtjOPjw5Dt0BANQrTx3jGbT3HekbY69HpbzGcFUgqqqmK4NaQuC5w3nI/PKOuKzNYB8Gy3qKqa2hikqmi3O8xmc84nU1SkiauiIaQcQjiSRHP09Cm3b91mMZsznY1JWy2yTorQCmsrirIkjmKitIXSitl0GsbLOEigPXjwkDRN8Q0ZtVjkxHHSAI/B2P58NCKKNIeHhxwDuzvbjMdjiqJAuEb2zjvKsmY4GFLWNYvFHK2jxn9kAXjKMme41aeuK/J8EQzWkwiweG9Ik4wk0ZycjILhcJwE8tZ7ytIRxRrpg+ydsQEcb3W6jMdzfvO73/Phh3eYzkpaWQ+pIqraoWRMXsxI0ozZbAYSlJRo3USZIzDWryWZfCDVpdCkacYy3sU4S71Y0Gq3KMuSsqoaz5ECEKv5KID2678Rz/oHXCxLCS0I60fvwbpgdr6SbJTywiS/jEZ/3h/Er35fZ6NcXB486yuyJCx8IzW12mY0596oHtDIai3nL+d4EeGz9iZxK/P3ICsmL8hnLbNllpkKm9eybjMfPLH8WkzIuSarUzRx9ZvXKgO5tCKjmiwbKQIEraWk3e6QzxdcuXwZW1WcnJxwdnbGzs4O9+7dQynFlStX2NrZxljLz37x85WkVm0M08kEHUUhW8pDkmZY4xkOBkgREWlJWVXgHXu7u3Q6YUyzxvPeB3dQUvKd797gzbfewYozZKTod3vkVQEqpnaO2kCctDg+O8VaGAy3mM4nxLGg0025efMGVeHwVnJp7xJlNeeN127xs5/+htPjEbdv3GJ0ckKWxNy8dQ3p4Xx0iqlrnIH5rKDX3ceUTxA+QsoY7w0Ig3OmWe1EXL2yT6uV0Rt0OT05wfuCTisln+cIDFVV88brt4ijjJPDR2AzpiOQQvGLp/fpDyPe+cENnhy+zzvfe4fLl6+SxFv0e9c4Oa7Iq8e0ZYKLBOOF5/h0hpCaKIpxzoeMSSWxzoW1kgjEPULiG3m14HsukXJN5jjWZP760RNorcIcpGNqU4B0CF3hpCBKE5AFQlqk9jgrUFI38gFhnQQC7yQXHsgVKbI8l2tI1VCvkHDSPF1CsiY6nnm4lmSLX2/9V/37a79d/7b88ZWvEGFeIW9fNzTg61afb1rxF358+vIKffIbf4u+CuZiHZX8Bz/1H3l5WcZ58+bFn8AFAPnZzyoVpLOyBN9rYQYp+RVJflXhLlt2dnN29qb0OgvaSUkrqoilIbpAiLyIsLiYzeFXrwaUrFn1fLYGeKWyrsPm+Z/9zKuQI3885XNcbTMcSBxKhPsciY3gIQnCgZA+mLYTgtnXCRINMaINJlIQO3wksTHYWGBjgdISrxzCSvAWbzdr/DF9/ONw9ldZN6y5tq+uvOrSyl+cL7+R/feVKv3lrjW/0cQI3gXwCN/IXQVDZeccWkUURbWKCkUIhFIgAlFSmzoYb2pPWRZNTF+AWhTLzI8QISjEWtfOE7ImlkqKQgRwOqwRAhmw1ILeNKCFwIouSQIvfSOnJVbETTi5ROiIKGkTJx1ElAdjdalxUuN9CYg1auZds5124TUZIou9KVgyE1VlcBoQAiUtXgZCRAiBtx4hHTIE2uKda+q0BtGiKEZKhbWeujaIJgMHB2VRNECBC4buTVSydx6cQwoVMhcI8k6R1HQ6WQOOKaraBCKFIK80n8+5utPG1RW6mbelLxG2JlIGpcN9x4kwuDqLcyIYowrFdHRIPj0nVY5Wt0+UaMbjM3rdNruDHbQWRFoRxwmtWDJbLDg/PWDQb7O71cFZR6s9RCrJeHxOv9uiqhV//uPvce3aVc5HZ3z04UeouI1TGT/79R2mizmLYsJ2XyH8FFeW9Ltdruxe5+x8xmKWc3p6Rrc/pHYNqGote9t7HB0dYKwlTlJ2L+1z9849tnZ2KccFQgsOjw65dXVIZQq6vYxUdJnPznHe4q3FS40LMxHOOBQaiUTqiHKxYDqd0On0cFFEXRfEOqZalEQqZTKasrWzw7XrXU7H51y6vEenk3B0/JBBv0McaYr8HFc50qRNnCQURUllKipbI2WE04ZYR8Ra4a3BGUNdV3itEM5T1Q7vJbN5TlnUtDuh+1prieIodHmtkUpTlAXdXpv5fMZ8nlNVFoFidD5CyiBhoyIHFuK4s4r8jtOUZTT71vYWeb6g3e6wtb3F6clpkNbC0mm3eHp0wsnpIbduXaPfH3D/3mNsbbh37y5Kaf7ZP/srTk8Pkcrx4PEDtM7QUYSSgtlsitIQ6UAqBt8dg4wkWkRcv3kjmCmnMcV8TjGfga3o9QbM8xlxmjIan5EmbRb5nOlkRqfdpq5Ltna26fY7FMUU7w21NUxmM/LFHK01g+0tFkXBZDaj1W4F0q5pQ288VV3SyhLa3TYnp8fEUcTp6IS26RAnKUjNbDGn3e6SZRlFkeOc4fKlPZRSHB4dAbC9vUOSJOCCL8h0OiWKYpSU1CaA/N45FvMZpqrpdXvs718niTLq0pAvpjx6/JC93R2kEFSmpqpKnAheGLY2VHWB9yFjyFQl7XaLbreDkkEmaTKeEEcaKeH09BRrg2SfNXXwzPChbp1eByEiPIqs1UHHKUdHZ/zt3/+Mg4NDVBQBCusFeIFQmkW+oNcb0O60OD07xQuHFJKqXs8VzlsgYjqZ4L1HNSRJmqZEkQpkh9LkRc7JyWkwcHce25iyL4mRTdP15d8KsAJ00Cdq5jG/MYcEwF+KddZGyExQLKUdN8mJTdmp5XlCxsda6seLBlwVDUndZIoIuzaCX2VqiOVsslxgLeuxjpJ3TUbI5gZt6Sm1Sb4sJRWXvwdSRK4M0p3dDBBYSmwFj5dnjyV8IIRUA0ZbY1ffUyK0rcWvrmNFCDUpMsKHBTneo4TAO49G8Pprr1NVJb/67e/RIhCuSmseHzwFJYOttpSMRiN+/Od/xvWbNxhPJ4xGI8qyZCnv1W2yi54cPGZne5uiLEmSkD11PpnS6baIdYS1NaPRGToSfPe73+PW7VtMZiPq2lNZh/XBAy1uxTx+dEhVSpRoUxvB1au36Pb3cNYxno4YT07Y3t7i9ms3ODsdcfT0hF53yM72kPH5Ob/+1bv8w9//nDdf+w5JlPDkyVOcL7h2fZ9+u8vh4TEISStrMS8qJpMjHj54Ck4ilMfYCnyN1B6lE2KdIoVESoVWgvPJOb/93S9544032N7aQivFcLjD2emM8fkhSdxGK6hNhCdBeMViYvm7//QhOi3otPbAGX77m3tcu9bi3oNjhG5xOj4nabXIi4qitgzb3Sbl3mGdQ2mNbwhLPKv1nWzk4pbP4Fqe1FNVJdbUSB0B4TkPfUXifQ0C6tpgXIUXJWkWE6cO7w2OCi1U469VN4Ewy0ym5TPMBTBi+axultWe5ZksL78KlHkmuvHChm1zCygu/P1t+bZ8bcsfkiv5UkJnvy3r8hLw6ZO/9RXdk1ep7ze8r7wQJPd8eRlQy/Ou/nnm1N/w9nxp+QpJ32UNXkKIrKH/zddY9Y1lDMZGtFH4W2t8HOGzkCFS7ybUl2LsFUN8tUJfKun3Zgx7M7pJ0RAiFi0cUjgQL/b3WNcqvOIJ2wq/XMuzDGBaVwfWyQRLMmOzzZ8PBFu/+OydERd+8xvHe3Hrvax82aSJf8nv35SyERaObFBIL2S4QcKtM0RE8FYW0iO9QnlP3VBkqzZs1sPOCapII2OHTxw+lk3WiMBFAq9lUNvxEtHsEy8skS806gveeNEz9HHrhgvj3Geb/z5Tee484uIz/Anf/WbvDl6x9mtW7QuvwTeaGLG2pjbVKhK0KGs6WUasNPl8gdQR3oeQUSnAG4n0HiVDNomXAitgPM8x1pPIYOjthURGDZMofQMsCbTSKCkxtcFUdSBbNCilwYF3Bre8VwQgSAq/khoJAI7FOYsSEqHlStpDSNlkT1mcqZG1Z5h2sdUTSnOKkxl17YlU0nQIC9Kv9PaEUAT5hQAOGBQST1U1gB8OZT3S1DilUY2xqheBXPC2Chr+CIwzeBv8DDwCHUVIpbDOYZwlUsFbwNY189kU6R2JDAOVcI5I6iD7I0TIsLHB4Fh4R7vVQeCo6wLhDEpodBwRqQxsxXgyR+uEvFhQVBXtROJMmIRVqjHWhghhJEIqBAqUxAsZBmip6PRbDOOYTrfH8dkpnimDwQDlLXEU4azDu5rdnSH7aof5YoFE0h70yBcFtalI44wr+7vgBWXu2N/u0R1ktFTMILpCHGUsTMq//bd/z9H5gm7bMXi9x3e+8xqJthwfn9IepLz7058wvPoduoN9jAbrHTrWjMbnVJVha2eHLMsYn885PBoxGo3RaUq33+P48Ii0NWA2L1nkBcZUSBn6IUi0UlQmtKHSMTaSQRZEaZwJE1WcKqLYU5QGFUmklkSxJq9y+v0uDos3nv3tbS5fvc7xk4dYZzAZxFJjTIm1nixOsB60UExmOcZYhKsxzEBIFvMzbJ4TyS1U3KWqa5QO5zPOUuQFETGdqIWTIFWLOI5IoxRrHNZ4hIgwNRwenWG9IM3aGHtGWRn6/W0ePT4Isl6xaoBWMLXBSw9q7ScklCKvSq5cu8bDR48QSlK5CktJu6sZTY64IfY5a2Sc+oMuDx7cYz5dcPj0CYXJkc6T5wuiSFDOc4b9HvliyvnZIVtbAy5fvcLTo0NMXTM/z8laGcZYsiyjrPIgCWUqLvXbAVzMYrZ3BvzHv/8pt2+/RacViJ26qjg5O+V0csru3jZRkmKrit2dSxyfnTLc2WU2n4Wwdy3Z3t/FOY/1DmFZEbzWWk7Px4zOTrh94ybDYZ/a1YzGU7KszZ2792l3+ygZcfD4gO3hDvP5gul0yr5fSsxYzs/P0Dri6tVreCAzliRNGQyHwfDYe9LGzDxSEb3OFk8fnfHg3gOcr9jeHSBVkPbqdQeoKIW5pJzOsD4QA9PpeOV50c4yer19xudjRBwyISKdUBYFPlKr8czaiqJaoCKNiiISnbGoaqJIE8uI0mj+7qe/4PRkQmUUUrbRKmKwFXN4fIy1liRNAqDqLCenJ2ilMNZR1VVoTwhShwIqU6F1APCF8FhrqKqKLOuHCPXG7+A8n4ZpIoRA4XyQkLPNmK5V42GAJ9IKY4PmqmiMm11DXiguBrcsMxyWxIFrwmO8B+NsQzoLtNYNnS8QKoyJvvmcc2sSQwnZyDs2Ww4pcL4O86BzCBe8m0RDLNhmoRqrCClpZIZCOyCCpqzzPnhtNesSpdQqmt/VdgWIBHJIoXXISHQ+kFta6ya7q8aYeiVHFMBhsZb08o0UURNpL+SaDPEeIh2HNetzCyTfnK8h+5t2RUikCtJwVVGRJRlbW9scPHkCQBzHnE+mdKdzuu0OR6cnnIzO6A66/OAHP2B/d5c3X3+Nh48fNSSPZ3R2ytUrV5hNJ7TiiH6nzej0hLfeehOcRQqPVILaWK7s7VNVBQ/u3+f6jesYEwIF5vM5tR8zGPQoFgt63Q79qzs8eXzI5Us3iFWP06c155MpRT2m21Jc2tvhH/7+Z+AVO9td8vwIyZDDRzPef/c+WnTY290jSVPadgela7rdIdbBk6dn5IsFr71xk8OjJzx5Msc5TxInWOcR3iJVIELiOCZNFFKDihXn02MSK4miLg8fnrC7u82NW7c4Phzz9Mk57Vaf6XSEEIpY9ylyR6Ra5HmO1F08bX7+szM+uvMRe5eu8Mtf3ed8NGO4vRMkT30ELhDjDihNjbMhWGXp/xO8YmQwmPeB/JJSsJRVRYAzNa20RSuNqcucQbfD2WlBmkZ4F6QYHR7jDZPFOUtprUgpcDaQaF6CVQgkosk2EoBwoolRcc0aTzbeN67Jxl0Sj3K1MQ8BKUv/lkY+VTbEpQ+LOS+WfkLNc92MD6tnVQbN5W/Lt+WzlU/uOy8Mvvwsp/omIj5fZPmyAeo/WPmMpMgXAVp8pkMs6/sxX/7HDOKLPwA58nHnfln5x9rkX2F50W32z4KofuP5FYBUgRTpZrh+SnU5Zn5dUV6B3l5Ff2dOf7CgmwQvkVga1MfcvIs0xrO/i9VeYBNnXlIergmAEqxw9HURayLlOQJoI4ikcex9bo7aBN5faJXzCcXzfJddhqW8Sld+2fn8S35+Lkj7UzzuH/exj39veaebboQHEfZZctnnhFsPv00At5QE7NV7lJco4ZBiqRDQtKmgIUYMeWJwicCnApuCjSUukjjdBPTZsIf1Lqz715tn//xFLI3UV/JUn7WNxYuP/6WUjyPyPu7kSzLwU17lFyHd9UWUj8uG+wOWbzQxMp2McbZu/DGC1IE3PkRmGkukE7SUaKmJIo21NbGWlPMZRVFT1xanoDYG7wUhOtYGLxDvsA7QAuFkAOIbA3Z5AbQBa8yqTsEEeD1wLDe24cFfR/cKAcgmg2QVJhg6phQCvKKTJCSRw8sc5+uQqWIAETbHIbRYNnztMkp2aTyqmmfYIAVo5/FVxaKaQGRxKgYExgbQxlqD8wLrgwmStZLKWowVlFWBRGBNHYBLpbl29TInx6ecnhwxOj2hKOb4BhgQKqKqDF4IarOUSoGiKDg/OyWKFFqCMRVpGpGkKXGUIEyFA5wAYxy1DccIGTUCrxpiyQc/EeED8SRluCdCSuI0Im0llHWFMQU7Wz067RgpaiKt8M4EokhKcBbrHImOUJEGPGnSQ+mQIWStRSuFL0tqW6JFTLcl6BKjul2Oj0tMUfDmm2/y+q0Of/rDN2nbKcLVdK9vE7f6vHX7Br/48DHXv/cD/ul/9V9wcnbM++++x1//i79hPltQ2Yosa5G1K37169/S6vU4PjnijdffIEs7nI8WcHUXay0WhxaCKIqxtcHWhjhNcD70Tx2nzOczqqoIng29NgePHjOejhCIkF2AxQuJF47ReIQXDmsEtiqRdc3uYIuj0xOEFxRFjZQxVtYIJdFCgnVooei0O5TeoyJBmgquXO4jXA61wZmKJFE4adC6pizGzKdnLGZnHD0WZJ02TlpmziCMZdAfkEURyntsWTDsdbm0M2R7uM3jB49oZxm+IRSFE41kW+M14ATCBYCpMAVKKpz1LBY59+49oNvpc3R0QF1VPHx0j9ffuMzbb7/Gr3/9S3rdHb779vdopxnDrcdIITDGcD6eULg5N2/dIJ/DeDrlpz/5O1577SrbWz1G50ds7w04PHmKdY7B9i7TxRRnLXGsmc/n9AY98vmcyfiE3qDH3rXrvP/RB7QGAyrnyDpdbOmo85KtwTZHoyPu3X9IL2tx/eplTs/PGAwHlFXB1vYWlanwxmO9pa4tASCUaB2hVBiPWu02Wmsm8xkHBwecnJzQanVodbrsXdqj292iKEtaWQchZWMQXbG11afTuc5PfvIT5vM5rVaLu3fvgQ9gd5KmHBw8pSwDyTqbzVjMZywWc377298y6O3Qyto8fPyUdkewf3mPPJ9TVY7FfI61HiGh0+swGZ/R7/eAAPQN+gOOjo6YTmZcvXqVfL4gTTK6nS5Z1m4yVhKcNyyKOVVdIrQmyzp0Oj2kavF3f/dzfv6L35NlPZROsA6iqEVd1yRZxM7ODueTc+bzkH3TilpYa6mqCmNrrLPNmLmOEnIYQAW5HkIWhrWWPM8b0F4jEI2hcxj3K1M3mSFNpsMGuWHt2vh8BYiuZLWWZvVh7A7RVH6VcbIxmayzMVZRVw4p9XpS2VhXCCkbvdcmWqshCVZZGqw3G56GNLDL9GfRzA8GzBLgCNeNCJH0vsF0l2XzuEi50hheRvuHTMuG9BBh7ltm1CilcG7DR0WuTeylp5FACgtc0bSvEDIEINi1HNfq2lfyYKzOhSBENDXHFx7Ozs7I8zyQ41oHWTbnsFVFbQNwnqYZBwdP+OlPf4oAsiRlb28P40L26fHxMScnJ1RVyXffeov5fM7t27cYnZ1x585HvH77VvDCUZLZXKCUJs9zfvnLX/If/uN/4Nr1S7zx1hXe/O4ukU85OHjCYNBjq7dFUSxoZwp8ycnxMe/9/iMGgyFXb14mShc8uv8IJSLefvtt0sxzdvYEScRkVKHpsbc75Ic//AGj81PwCuNK3nv/XbrtLp1Oxt6lLVQseevtN/nu29v8n/9P/0+c85gqSNkZU2Nqz3CYEcWe/nZGlDgiGZGkMd6GzI3T0zMGwzZvvf0m9z7IKUvLvCipqwKfOZJ0B28EUZxRWUM+LSmriKrqUZYpaSul3YlAaI5PT0hbffCKunLIrkbriLwqqeqCOE4I0WXL7XJjVsOSUAhZus6FrbK1BikFR8dHJEnMbDaj3+8TxQmzxZxOt4txhtliTmUMkU5J0hZa6yDF6kO9QibtZkZS0+8FYT223A2KMIIsdY6FWAkrr/rmhcwQIfAsN5PNmEDIeFlv/pu1XWAAm2v/tnxbPkt5cd957lXxcW9+W/7g5au8B5+FFPnia/HqZ/4kUuQffYf+isgRAWv5ixe9/yKC7VXAsK/+fq3mfL/eJ3zp5wwn/nwHWa2Lm8WEkhBpfCui3kqo9xLqaxKuO6KrNVk/p9ddMGjPyVRNrEwAsgkBUZv3YhOAdc1KbPXsiQ1SZGNlc/Hq1obhYnUkv/He+nPL71z4lm/eF/6Zcz17pI2u98oEyYs+9ep3fnXe546w/vmFECKfsvjnfv+s517TVVL4gKEK1+CoHiUcS5eRldi98EgvUV6u+lMQwffBL9lBHUtqJ6kyAZnAZhKTgc4lrvQIK5HW4V2zZ99gvwTimZv97HjzCcTtx5XlOvyrJBAuMIsvqUfT8T6JPnn+xVf44pdVNq/ra1C+0cTI6OyMfBFMUK11OCtAaNI4xlnbAOfBHD2NYqwUZGmMtD5IwViLFJqqCmB7CPsNjuTWBPMgiboITjXSGdovga7mLbE25kWuN87B5HX55SAl4kWTTULwhggAzxI8aiYUb4mTGKVViAh3IFMdgCjv1g+3XG6Yw+Z8ORBHMtRbC7WKjDRlxel4BnGOkzHWBc8VJTzGmQDe+aCxbyyUlaWoLePxHEFgeNtpjFICJaDfbTM9H3P09JC6LkPyigsTb91o/hvjyIsC5z3WOIqiJFJBCsO6ECUcRTFaKeIkxphFE1XtqOsaQcxSO8a7Rjveh2uWTRaOkkuTLYeSAczzziGVJIljtNIYU6NlkKURPkRGL+WXtFJYa4gbaSdrgo09BE18pSBKU4ypUHFEWXjM2THTUUlV5xw8fUC/t8NvfvsrOnbC+fFjytqxc+UdLl3aZW+qOTk55vGjx9x/dI+rV6+ytTWk0+lQu4o8L0gbz4fz83P2r+wxmc64tHuJw8f3ieOY2nlUnOCKBUkS41Tw+pBKUZUlkdY478haMc7CdDam3+vT73VRMsiMTKZTimJBkvTxPui1oxSL2ZyqrikWc5IsxTmHMZY01QgpyPM53lSgI6qqpipLOu0O0+kUJWDYG/Iv/sU/QbRTKnOEcFDlFoTl8naGiiO+9+Zl/vv/3X+HqyVlbRhNJpRVTRynwctC1Gx1YpwzFEKR5zOqxTn57Iy6rJDU+LpgkVuUVijZSLo0dl8SQRQFeSkpIY0THt5/wA/e+QESOD15QqsVIufzWc5br79JK+tzdHiErQ35oiDNOgidIGXCO995jQ8/+gAlMibjc0pT8t4H7/HP//lfsbNzmY/u32V7d5t7Dx6xePKILM24evkK/V4LFDw9O+PJk6f0s5RTW1O3u8yc4WS8YGvvGovCMZlWzEdjtoZDtIvpdFpYk/Pg4d0AukrIiwXdXhetA7l7OhqRJBn7+1eYTxc4JxhPZ/T7QconjhKSTpdEJXQ6Paq6pior2p0eZVEyn82Iohjv5ozPzxkO+ygVcefOHfb29rh8+Sp37txBq4hOp4NznvPzMW+/fZmiqJjNZuR50cgIwe7ugMtXLnF+ckLWEkjhuX/nPkpHJGkLbwHryOIYZ6vGQyT4F2mlqKuadqtDpGOstQwGA+racDo6o12UJEmKMYbFYkG33yGxKWVdg4fpdMbvfv9r/vbvfkqSdKmrkvNJyOBQWiOk5XR0glCSKIoagqKm222TpgEgtaVdLadD8SsAvqoqlFLBzL35flVVtNtt8qLALg3RRQPkN0SSaCKgniM3muMvpaKWc8byc7oB7V0jEeedxa2IlA1AvyHAbUMIxrqph7ko3WN9kOAKZ12fb52B6sG5JtJeIjci2Zfvr/0QWJ0fPCH3Z702C98L3lQhUH4zrmrpLbJ+NUTmh2w1KcMMZu1aekz4cC7nHR6H83bVlgJ5oe2W7Rr+vwhcL9d6Fz8b5u6yLJnNZoiGEBVNBo4xBq01B08OiLVmMOghpeTs7Iyf/uxn/MkPfsjZ6IzJdMpgsEVZ1vzlX/1TDg4OeP+jD0mThMFgELxppCRttcnzBVf293n/g/d5/PgxzluKsuadd37An/7ZOyyqp2gNw/4eRZFjjeDhwyNMXXDrtWtcu3aTf/j7e1T1lCTb5fHjA7K2RUcJ+3tbFPkCqQR/9Vf/nPl5hHM/J0k0USzZ37/EbDHiyrUt8gKStMWgn9Jub/Ozn/8Sc+z53jt/ys9+8i7zaYmUbaSMwYcMLik94/GE19/c4y/+4h3uP/w9SrepqppWmrJYzEA4okjgfMnNW5f53e/eZT4fMdxqo5UhjgWLqaGylrIskUrS7rTo9TrUxtKLM8bjAwZKMxxsY2pPVRviOKU2nrIy1NZSG4OxvvEbcWitQgDL5hoLAUu5OBXM0jv9AQ/u32e2yBFag1RUxhLFCWVZIxQoGRHHKe1uH6EiamNX5ItHPkcoXthBrJZky0WY2FjmPzPCLCXulju6RurPNyDWmvRorqEhAcPDKPHe4Szflm/LZywfB1y+6I8X7JRfFmG4jNx80Wm+DhGJf+jyReLSn+dYf2B8/KstX8XFLtHWVwSWvigg6GOfqSUI+ILzfCJxtHGMT9uWH3dZz4btf5p2+Fy39AsE/MQqBIMLJMHnPP7z/MengO/F5n3aJBWeKVJAFEGWYHspxaWY8rpGXrW093PS7YJeWtBKKmJpG0JkKZ3bgNwb1QpOEet1fQgBWcpXsarTy0iRTRT3RXya2Pjc8t81HL9xfL9+/jZpkWXg16aYlvD+M2WPrOvNhXO/rITdyMvJkc9HSrzkhJ/qo5vr0lftay8WJQt9sAlWXZoLE4KWBK4hPmQgRZAYIZF4lHco4dDOoq1DxB6HwEvIayg7kqrUiEpgC4EtJcIqhHUhSLzZX4plJ2z24xfGrVWFn635Z+0EghcTvF9g+awZHIJmjP2Y7/oX98nVAV7IB37BF/s1yQx5WflGEyP5Yr6KMq3qENkoZUyWpshGGkX6MBAqKfEuAPVaa6yxAYgRgkVeYOsaF0mECxGowdxTBtMgKRqt9EZPT0pEJJCN9r2UwW+AJSAj16CQYLmhDVGBjerXyqhWIUBv6LivR2+iWGOtYbEIfgtkKkh7ueV0tCxLIGsZmSgCyeOD3JJzy4nAM59NccriZEwd3LobUsHiHFjnMY0xbF4Z8rxmsSiIlUQ4RxrHaB0xPjuj02lTFTmT8wnIJnKXkLlROw9SYk0AoIy1GOMo8gJTG2IdIO2lZ0HtahxQFUVj4B5ASO+jABQ0sjNh3JMoEa4tSPI0GUMNEGXrOhAtOsIag3ME42dnEVKBC/c30ppIR01zBSkaby1IF3Ro8EgliRNBWdfISJDPJoyePqLTHTCbjamrOYPtHW7fuM47371BUp5SXxsiVEx3+23+h//X/5EHjxb8ye3bxEnE29/7Ljtb25TzqgFbLcNsSFlaaluzKBacn4/Z37tMkqV8543vUJY10nhkbbCE/iOVIhZx45sTZJDiJMZbh6lrrClxviaKFUrLRrYmJklTamNIswQZBYmUJDEs5gVeECLiZQBv4zTBek8URasIbiGCtJqXwQAr0XB2/JjT0bsIHbJX0lYr6P03gLSUCrzm9rVtoijDWo9KbgECITVChOiByV9+B60lXsD5+Iys3eIv/vQNfvu739NtG/7ZX3yfRVFTVhWLRU5dVRhTU9cG7x1VZShLEwhLbTBVTiv17O/0mY8OqYsCbzxZ3KIuLPO6wJSO2XRBWTgGgx4ffviI/qDHZFTw93/7M9rtHufnYwZbXbq9jF+9/wGtTkan3WL36i3efKuLKWsm52POz8ZMRhOcFMwXC54eH7D79neI4xiLZbGY0mm3Gx8LR5a1GB+fkucLJJ5YKSZ5wd6lkLXT7baxpqRYzNja3iZNIt64fZvZdMHh4yf0ekPiOGZ/9xKT6ZhIRaEdipK8LDk5OUZpzWCwzfn5hDhKuXTpEk+eHNDe2uLqlat4PMcnp9y4cZPTsxEPHz0iSVKytMXB06dUVcWtm7fJWh0mk0OEkOzuXaLMc97/4PfMFzV5niJ1gfMLTk4qkiTDWXj86AClNJcu7ZKkirOzE4qqpN8fMBwMWMwXKCVJkoTpdErW+KZYGyLxy6rCWocxjla7RVFUTKfTkMWgNEIqnjx6FDI/zIyRmaLiNLSv9HjhiBLF6el58GOJIqqqDMC0c8HzQy1l2dwqowPCmO+sWwHqQgRfHE+QkJrP55RlGcaqhjAXUjTHaED4ZYbDxkgdgGYZ5hPvV+sNJYOfxXpRF7LkxDMLkiVps/xi4DaaZbZfzwl++eaGOfqyAkIIhG/kulZLdH+BMHnWlH19Lrf6joe1f5ZbenAtr2vD7Dwc5OI1NN9ZRvM/awC/qu6yvhdgZrE6nmzaygUGh1WQwEa9Ng3eN+vwbGDD5rVbY5iOxzw9jMmyBICyrDh4ckAWJ+g4whOyIKuq4re/+Q1vvPkmUnh+/vOfk8QJVVEipKDT6dDpdDg9HXHt6jXee/898iJnZ2ePGzduE8cJ3eEeUVIynYwpFoJ+b4gzhg8+/Ii9/T0+uvMRi8WMrB3msU5rQJx42t0+RT7lyekB167vcHY849//f3/NbFpQlRXWJvzyVz9BasNsUeH8AqFKBls7TCdjWp0Yb2MEEU8PTpEyRaApqxopU0IAAmQtiYpK7t3/HdbnmDri7t3HvPnGd+l0FM4XKB3x4MFD2rFCqYQk7tNuDfBeBp8zL8PmKQrrMGsNURIzmy0oioJ5voBzwWC4HUhM43AueKQtFhVSSqIoxbkQvIFQIDTeS8RqI9Bsnx2AAg/GerrdIUI+ZjKdI4TGEaRCl34l89mCk7NT9vcv0+r2MMZgnEerCITAS7nqGyGzS17s36y3mZtr/mehgNUzsuqHNAEfm8Td+nlb/i+Eu/D3Hw3G+W35w5dnN62ftrO9bM/7dZFr+GMs3+Rm/9TY/FdxsZ8RxPrST/2SkywJk5dGHS+/t1oUfra6fWx1Nte7r1o+Yz2WYOEX3jUurq0/czt9IUDhy+61WC4i8FpBFuG6CWY7pt6XmGueZL8m2y7pdxe0dEWqKrQIxMiSEFl7QmwAzkvIqgnqWPqubYpePc+PN3SF2Hy/Wf8I8dw5fNNPNimO9bE3/vJstOPzpMgmlfKxXeGV8fJP+pTHveBTXzQp4pt/Pm3P+2x12CCz1neueW/9txAO5ZekiGiCzD0KjxEe6R1KOpR3aG/RQjfyWo38rPSoWuArRVVrbC2pK4GsZQjmMwppPd4EPNDjEP4i+fXiicNv9JOX0wPfjPKSifHjxtSNzv8CmuhjTvUFrd0+9Xj/isd8hap9mtp/o4kRb33QhG8kqTwWaw1pEhNFcXhgvUP6kFlgEVRVhZYK7yVFWeF9QllWVJXBxAppa2wdgHMJSOcQesnALUdysQZsnAR/EcxZySYsH0ApaBIQgqyHkgQ5Eg9SBZAPB9Y3TI4AJWi1Y7z0LPKcfFFStzOcdqgmnXEpbyKajArXDA5CNBNMc34lwpQWa413ltpVOCkwXqCUQPjG3NgFrUDvgtSDJEhOJTqilaVIIairiljpQGaUFTbTKKVJkoja2tX16gZzqqQljhOMMZRlTRolTMczOp0uVdGYFYtGGknKIGsGWGcpigLv2oEIasAx2aTFBGkzVte+lNXSWpEQQFMllhJjAfBSKgp6llKFLBMhsM1kr7TC2kYqLI6C0XNd4YOYIa1WRkVBXRUkcUR3f5dLPqE/aFFXC5QU2LrGVAtQnqQVI6Tlxq2r3D29j1Twzg/eYZrPsHVwgHHO4YwABcYZVKSQWmGto1gUjCbnvH7tClIoqsoAkkhH1GWJxCFVkNtQKkSRFosZAkeSpCjZxlqLMTV5vsAYS5QkKK0ZTyaoKEERTNG9FEGmK4qYTqfMFzmtdhsBaCHIshYSSVXVKKmJooh8Pmc+ndPt9tjZ6jCbjvA4VBxjqhFRlBDJmCrP8VJSljXV/JQ4igPIXNch8Skwj8RxEgywVVjM1LbGVopWLLm2H6P9GcOdPZxMQSiWvgXSe0xVY5y5AJiWVUVVVSHjoG6zf2kLa0vwOb1el/l0wWBwidPjU5yHO3cf8uGHD0iyDnjNnQ/usbe9h0ey9doW/d0+83JOPRtTCYmPUu7ef8hiOueNW7fptNpgHcbWfHjnA5yE165dJp+N6O/tcfjwLufjCZOFoZN18b19Iq85Oj1kPBYMBm2eHp3Q7sQ4X9POIiSWfq9Nns8ZnR4y8oL+YAspNLYuGZ2eMOxvk7VapFFM1ko4OztjUeYkScKVK9foDQYYYymKEq1i4jhmd3cXASRJgrGGbq/PcHuHj+7epyiCVM14ekxR1XgnqK0PUdlSUZkSqSIWxQgVaYbDFtt7Xc7PKvJyRr+3g5CKqjAM+8OGZKsYnS8Q0tPvdYm0Yj6bE0URs/mUsirY2d2mroK5elEUYRRVkrwsaGUdFoucdisDD3le0B8MKY3DGEOSJJyNpqgowRnBvLR0um3SNCHPC9rtFufnY6qqYjw+J0mSIH1VV3jhVgC5WIKdNKS1CtJK3vuVtxHOhvE4z5nP50HGkaUxeJDbkl41eyQfCNaNrAYhg4/TUv4xZBQuMznCeK5W5IBqsuNYRcATRnw2Td6XRtCwmVGynKqWpuYbwHGDrq4wXt94nmwQ9+tjbC4nwnec9yuz9VC1NQmhmvN761bkv5QyTGvNs7387ioSvjnHpnF6aHOzyjJZZ17CciUUMmma7y2PsjLcXtdpSbatz3kxK0ZKucoUCRlnIaMwzlLysuDp4WHIbqpDJsn9Rw9JkoRut0+vN0ApxXgy4W//9m/Zu7QTiNsip9/tM51MOXhyyO7uLkmaMVssGG7tUDw9YDjcIUkzojjFuoLjx8ekSUy+SOh1Bmxv9dnZmjGfe5Sq2d27xP6lt7nz4VPiRKO1IFYDskGH4VaC8yWPHpzQzrbYGliOjg64dfs6tSkp83MGwzbnk3MeP7nL9777BlnW4sHDp2ztXeH4aMbjRyPKUhJpQxzHNIrPGFtR1nPa3TZ1PWU0GuFtRhp3uX3zNSazc2qzYHQ2RqmEs7NzylzRad+kWATTRXwIQKhMhRcC6x3VouD8fExelKRZRhwl1JVhOp6iVMikraoaIRSxB2cDSe988LwRYpmg3xBnjW9PCBQIGau2CZyJdESatTg7HzMcDlmFltg1OXb16nWGw0Hw2LJhHYIQIUimyQZeZoitngwhGmk3Vs/jst81HY71k7feEofM12V041pmCzb759J3ZEl+Lh/dZ7/zbfm2fPry+bannwMAXCI5fyzlUwP7f6BjfcnlC8Ghl/3liwa1v4w2/EruyxKb+BSfX/30nwDIb4L+L1oPft7yaUYgcbHvfxaydtmPXqV8Rp7Lf6YHVLxaS3zSLdh4/7l6qCaYI40x/QSzk2Eua+S+I7lUkA1L0lZJogyxtGjZeEAA+EbKfLWCCcd2BM/e8IguZYz8x97WJbXyPGHQEBjeNyD6M+9tgNnLY6yzR9Zkg9jo0mvgf/2NJRj+cXfo82WUXDgSF1d9z773+ctyG3bRXeXzH/tF7XOx9cJ+dRWnt8JGg6KLaH5fZw8t8TuP8A6FxOJRwmO9DASJUOjGe0QLh8w8xkpKIbFEWBdRuqDqIyzB3100nn40a2oXGiX49Hmey57Y7DDymXZakiWf9PgKLh73q5qPlyTDpyYsXjBn+HXTfPwJP8/Fflkk1EsGxs1gzE95+m80MRLFCXGcsI5hlXiviNOEJEuwpgFhNhpESoVUCiEVeVEhpMb6iqqukSLBU+NpTDxFA8h42QwArnntYme8SIo80/oe8E2EMDJo1gsPDXCECCQEbplxQRhQXE27k5BlMcYYitIihEZKB5gwSTXEwFKvfr14COAejQFpeN4dcayJ4xhBDFGGcaAihWikW4QQjVmtxHqPs5LaQlkaDp4ckqaB4KjKirTXDZHdUtHrD+l2WtTGhKwLEQy1vAiZJ6YBp0ztiKKY2nqyLKVYlEgpArAvBQgdiBkfwIiqqsP1CBF8RHwgoVxjvIQMAMvqOmXDHMsAKKwmRg9KR0StFGcsSFAqkETO2jB4e4fUGmcMVVmiZJBVCUCIpKprvPZkrRa6zpHO0M5iWplmWnnOTs+xZo9er0uUdbAGdCth/8oe5icfrmSRnLeBQNASU9boWGGcQyeaVqcdUlHV0hlA8O67v+fWv/yLjUVDmGqlUiA8pi5wzhPFGaaqKYqcsirpdLqgoua9mKrOsRaqyiJVhHOObrdFURQYG+ghpWMQgrq2pGlGVRqqqibSGh+pABYJR55XwYui3SOOW+SLKVuDHkWRo2KBsQJTF/jKor1AESGUR1DSimW4l5EIUlgqAiHRUYyQKUJLSm+D90NdY2rHzWs7SCzz0aMwzQqJMWZlvuzxoFQAuxv5I6kUeM9kVNHvbTPohuhnQcTO9i7eCpTOuHVlSJq12dnu8ujxA1574yo/+OH3uXVzh7qcYkvLvFhgpOVvf/73/Lv/fIeqLjl49AE396+wPdxiOn7Ak0cP6HZb9PodhluO2XzO9Su7KBRxZOl3O+zuZjw8GNFta5yvMEBpKqqyYnuvRzEraHdS6sqChyROmM8mZElMHCnSOKHXbTOZ5rTTmOOjM3qtNuNRTpwl5IsZQnjKsmQ0Oqc/3KI8PlnJP0kpefT4IVEU0+/2idOE+WiBUprxeMqtW7epa4MxFkEw0R6NxtTG4TyBUNQxVWUYbG1T2QKlau4/vIezJsjNec9iOqOqDGmscaKmpzNUDLPZPCychCBJUvJijrUGrSXj8TlaKaqqxlpHHCUYWyOV4Hw8oqoqIr1Nq5VQ2wpna2bTOTrSYSwUgQwTziEjzenZKZcu7YLwdDodFos50+lsBXzrSAcPI+8aA21WWQTWNXl3GwunTUms+XwWJH0aw/LANawXSXIVXdEQuRu6vOtMiiXBsRy2m43FkuTwAqHAedWAq42UIEsiIHwxzD1uPQeI5RzTDPxLAHaZBbKcllwj6SVDsvM6y1GAEs1nQoDAco4LG6C1p4N3Ie15uekIGyPZgMjLPZJfkdjeOrxsFtZuKWO4JkYQsiFeXENw+NX4v16Mi1U7rtvUsW7+5r9gz/CclNnF74efS8mrFfDdHMf5YPJ3enpKu9Wi3Qq+Nc6F7LTpdE5V1Y1HisY5y9nZGVmWcXYWJO+EkswWCzpFifOO2SzHGIvWCQ7L0fFpEwwx4c7dJ5RFiXeKatFDCEe3fZv/9B/+I9dvXuHNN67wwfsPMVVMHLdRIkJJzd5+i6OTRwhn0apPWcwwxtNqtbh29QZRaojriMVihjEJl/ff4oP3n/L662/S715FyQH5vMDZhEgH+UQpTJNRFSE13Ly1xw9//Bp1NaXTjXj3d/d5+63vEqcl5nwCOLZ2OvS6PTrZbf7dv/0tmdylrsH4CilFExsS1lLON5kgeUlRFFjrmnY7QwBZq0VdVVRliUCQxDFFXtEf9DFUlEVBkqSh77vl1iisc/xGtKsgPI/eOba3hozPz0N2sKmJ0pTa1iRRwtRU7GxtESeBdFaNrJ3AInEoIZDNYy1xF/ZEzUexTYbZ8vXV8+SbviSWr/iNz6x3apt9c5PMfDa76dnsp2/Lt+UbVcTqn1D+0fflzX3ZF3QsvqjjfQPKqr+8KhD1B2KPPu8pNr//WTGjZ5+lV/mC2Pj9k8oKUVpW9ssCt77kssKBXuWaP/uNFZ/6frzqgZf/vBJq+3ylpASlIY0wvZhyN8btSdROTjQoyToFSVwTKYNeSmgtA3CXR2zAYL9BUjjEKpb34+H0TXqiITd8853VvmJNrizJkbUol9/oi80xlsPqBu0Bm/Vb1unj++/FV9ZjzEtb+lORJl/+87ImRb64c70sQeAi1NwA7F4891rwXA93z4s1ORLiliRumTXiJa5RgFnKakkcWljwHoPEKch9gvFgRNSst4NlgcwtugBZEQLLl2tzv2lA/szFfCwD8IpzxyYp8Qeabl5el09Bjrxo7PfwSoEHX9bY9kWUj6nbc1PYK5RvNDEy3NomyxKMMwHc9RIhYw6PR2TtFvNZHgbWJgI0RPOJVVRsWVThIXWe+TxH7A0QTuFlICxCVK/Fu0aeiuZhd4HUEKI55oWb4lcPZfhMAGhX0bNKraJkwyQg8NZijQma8DKAQ95UpGlCq50ymhSUpcU7FQBKLELYjXkljNRyKaO1BMJWXiQB+M/SlK3hEKtayLRDZT1aa5YC2WHgEthGScr6wM4WpeHevUcBAfANIWE9WZbhHLTbHbr9LrUxSKVwwjcyLQECMCZEZVelIYoT9i/vo6IIt+qp4R45RyBRnEd7VnJmAbQC6cIgK6VCRhFaCby3WNsQId6wmFe0Ol0kQd5MKIVEoxrDVhXpVXaM0jE6Evi6QjjTgItuFTnuPQ1oKlBJgrUOpTRWSsrzc7TqIHDEkSZN2kzHc/a6Gi0d8/mUzlCyvTPEOUNtK6q6QicRlTE4LHEaU5kcT5D0iOIYIYPefRRF2BgKaynKgryIcd6jV33ONwSLCuSOlsQqRUgYnY2xFrr9IXGSkrUs03mJ1BFV7YAQ/aw01CYYQy/yCmM9tfEIEUxvD548YTQasbu7x/Wr1xAipqprzqcLirzkyrXXkCLB2hn9Xp+trT61KZFRTJ1XWK8wtaeuDU5BUc4o85qqyPHOgpdIoXAuyK8JEe6PTmOcd6RJjEIyzDLwCqk8OpIkaYL3gWxzzoWsqyjGOhsIE2vx1oVMmViRRAUaS20rRAS2yQAw8zO8UyxsSrftaLchSz2mGrGYGqTN8QtHW0lKW7OdKb7/xnW8CkvC/Z09tJTECvb330bHAqEhTa9Q5zWtrIe14fmOI41HsbN7mcLHLEqL9wKDAusRKsIJySIvSZKYdtai0+6QxhqBRWuBrWrmkxHOWM5HY7CW0ckThNIUJzWLoiBrdygrg4o0lamZz2ekcYIQbcbjEUJAlsVYZ5jN5xwdB7mta9di/uZv/oaTkzOkkMzmc6azBVtbC7z3tFodBoMtHjx4SKfb59L+Dm+8dZuP7v6O9947opWlnI2nRNIG7U/hGsLP45VgnuekrTZSSJw3TCYjJpMJnU4LF7SosCbEEWkdURmYjGcopRkOh7hpzdn5Cf1+D6VhXswpypyizhEC+v0+i6Iir2qEgyRNefj4gEGvx3S8CNI4piZJgizSMgp86Vu0HNsBpNIhs6+JEl8C5qKJRJ/NZiDC+GKtxXmPFMEvJfgnuY0st7AQXEr9LH1JBBvZHU3WihQBuF8t+Ff1Ws95UojGC2TD80AuxyuPsSFDMuyFJFo2hu5N/SVLgtWFY0mxMjZ3zYmX2ZCNGOXq3N6HqH2PD9mFxiKEawiNpXdJmDuFCCbjstlVOe9w1oIXSNUQD86txtdlcc6uM3ia+W25eVrfo2eBY1j6NTzn6+KX2Tib53ArMkQptSJZ5WqNAM7b1f31ePI8RzcE2pIcybKMg4On9AeD5nxBOrI1bFMbS1VVCCE4PjkhTTOOj49XdTkfTzgfn5MXFU8ODlDSUJQ1ZRGyFqvimCSJELLk/t0JSbJNrz3n7p1Dblx/G1MntFspw2GbxeIxo/PHDPo7eC84PZ2gZIxWCdtbV6jtAu8jylrTbfUQ0mNKz69/8YistcX1K9/n97/6zyzmHiVjEDUeg/OOJI4QQtDrpXS6EaZOKAvNpf0Wt14fELcK0rajyA1JCsenDzCDCKFLqtIiRAtJkAQ1tkaICGNqQKFUjBCSuq4Zj8fBy0cIppMJSgZZTW8cVkmmk3PKsmJne4i1NXVZkKVJkz3bkJHCryVPhQwybXiUVFRVTr/TJlESV5dI7/CuRgtPkU8pZlMu7+6QZQnHp8cIKVakV6Q1zkbUdmmG3vjxXNgmCqRuJCYJxM862ylkfGx6wDV8X3i2/TJT6yJ56poxapMU2Xz/2/Jt+erKJhjyeQ/1KTb2X/bxvmqQ48sqnzdT57O06ZfRll/U8b6wur0CoPSSr63XNV8G2CQu/Hjhe698mI9FEr+84p/7Zd2Pn6vOK6F6H/OxZ1iq5XV/HcaCC31kCUa/7H3YDCRarROkQkQan2hsR1ENJAwhbjvSpCaLamJl0SvZrM1j02A5F/07YC1k9aLH6UUzxJrCWOND8sL9bP5oyJHN2+w3fhMsFVH8M+dqjr36cEO4LPdiF2q4zqsRz7368iKWoPvXFCP+vGW5Zv3ksiRCWEk+C9bZQO6Z1l3Jp/kQTicbjNULh/Sy8SAJfiRaupU5e6IME9FiLD2LyFNFGhcrTCqIJ+AnAr1wyKox3nON54hfcnl+Y9x4BYLkU80NX9KC4Q857mzcps0lwje9e2/wqE159Sv6RhMjveGALI0x3mIaEiJOMrafbuObTejSBzYvS5RSWFOjhCLSMUVRUlcWpR1lWYFvov6kbLTUwwMcgCK13rw2wBEsI/nW3hdSBo+ElY66d8HXYjmxeI+3YWITSoWpwQcwWi8lSbzD2RKd9UmSIPFRFDXOBekk0RAZftWBw5AvGukolAdrCSND0MDXOkL7iE6vC0kPg6YVpQBYUwUflQZgMjaQr7YxBHXC0O52EVLhjEPqCOdDLHBZG2rrkFEUQDYZAAmlNbW1AURA4IwnbaVY71GRJk7jcK0NSBUG10C4GGvpZil5WaOjBFPPw/0haHGrSOMFq2wgqVQgYjwrOS+lIxwKIZvUO62aB0WsMmhWA4CUeBnhqrJp02BYH8Z8RW0CsO2EhCgm6fYRRUEtFbvbW7x3/5wH9w748+9dJ0nAlee0sgwpPK00JlJBgsw7hzUmRHQ3E4LzNkRle0kchwwPY2qEaqYWIajrOmTcQCC9ROhNWiucNyzDzoXQ6CijP9RYaxmdTQNZJSO8V2idYgyUVU23O2Qym+LRgCfNOpS1paodnc4WJ6dTRucLitJzeHROpNtcu3GDp4f3GY9z+oM+tfF4b5jOCqKkg1aCWEVoKYmyYGJuLQFEklCbLt5XgENKFYiw2lJVhrq22NpQ1xX5+QjrLHMXTGYDEKUQSqITRRRpoigmiiN0FKFVjFAVXkC71UJEMcbUtJME1XjK4GpQKZWrQUgkGoynrhw6a+GSmDIfo5Xj1vV9rl/to1wOJkZ4wVk+4eHju3z39Tch0lTOgBcUeUHa73F8ckSWppSmYjb3ZD7jvV/eZVF6tvo9MDVSCPIaLt38EToeUMwljoyqWtBq9UiTKc574qiNQHByeIaShrffvM2P/uT71GWOdwYpNcZa5vOCxaLEecnjg0OeHB3zn/7z3yGTlDe/8z3G0wmz+YzBoM90NqHIc1pZi3a7RZ5XFFWJdcGAOC8q3n33fXQUcXBwgKmDvj8N0JcXwe8jL2qOT87wEqIEzs7nOGK6vR2sVTw9OKCdZaQtjfYlvU5GYSYsqpyyNmwPdxidnZGmKTv729RVQRRHTMYTrHW0Wm0qU1DnlsdPn9JqtYnSCCcsVTWjPJ0z3N6hqMuQdWMqjK3xCAbDLeRsQVUHoFt4SZ6XeBtkmeI0QSlFWRQ404zPdum1sSau1QbR4PzSeDCYmVtrV1kU0Cy8EIEk8D6A/zQ+In7pkBzmkyiKsNYGMkA0c4sUeK+agwWPJufCtkFKiRIi+CexBv6hIb19M37aIDsWMqlqIEjrScAvsz9sIHlr51AyZNlopRDOIgUY71FShDnSWrxzREoFPVgpA2FubSCVTZhblFIBkHYeUxvwTZ1liACSQmCbKISlN5cXaxB4ma0R2mstIbRJZAQpLIcQDrnK4Hkm0X6VPXKR/LhwrOYt5y3Oh2NprajqupmvFFKFsdCYQDTbRgbNOouAYBq+kvuSVKVBasV8PieOE+IkobY1Wsc4W3L49AitNbGOSeOMg4MDut0eg+EA5zztdofxeIo1hixOaHe3yWLPeDLDuYiylFTGsT28TRTtcng4R8o2ppZEnRazac7pSc3ByYds7XbI0h4PPzqlKCyRbtNJNB/dfUhZFmzv9JG+gwCePHzMwaND/vzP/wItMo4O5hw8GYGPAlHhaqQ2KKXRsaLMy8ajCzrtIfNWSdbVdPoaT3j+Do9GeJnz9vduMRzs8fRJzvGTQEwYY3EIrBXoWOOdwZqlr0Yg5ubTWZCwrCu0dMzGZ6gmG8uWDqE0iVQsJmfMFwsiHWNKTTkP91PrQGYqLYN3kdYryx0hBGWeMxwOmY3P0KKPcCWzs3Df8mLOVrfFmzevcnp2QqYcWauF6KRBllJJsB4dxc0aR6GlBh9IF6U1UdJmXlnuP3ocMmmVWo3TQkiEDBmXUoS+7lzIilr6TYXoujXht+z3zfJ1Je8Wsoz9Kkvl2/Jt+fTl+V33q+zDn8MRloDcF0FqrPRPviBE4NMC+atr4Xng8ZteLoBCn4c0+oLv0aevAF+vG/NF1eUViIfPhMK+5Dufioxp0MWvoryIlFllfrzwwy+/JcvI9pdJafmNvrX6VbzkXP7Cjy+8PMtKPPPrBZ2nl92aFWYtQja4kqBVIEZairorkB2HzCxxZFfyWYqlhFbj3LHRZp5lxP+6LVekSCPhfoEkWd265ymSVRYImw4Vy783UNoLfWAz5+TZpvEXjr7+bZmd4i8ekjWt8yx8//HleZ+T58/65Zev0ygo4EIwn2xaJzgIiGb/t6yzaDKRQvCQbLBSIdZy+EISJNpUIEZiFewDrACroVYJdQQmVvhY4pXEa4vKBSq3yFo0ErluNZWLF2aMbfSGC1OLWPe7r1NDf1z5uPnhVebrzbm9aYtXmJW+GeUzzJ3faGJEqRgdJwhv8c4gpEJqTX84QEcRTuQEBkKsdMSXUioBmF2nCVa1wSsJKugmhowL0QAjDimXoiGiOeRyklgCVkvz2TXoAw1gpTVIh6vNOhIQgvdHA2rLEC7cdEyBlx4hLVEsm0lGo3WCjiq8WwBLyRW5eo4Dix1q6QTBc8TaYFYsNV5odKRAK6wPJI4TNJk2MnzJB0AeL4OZkQOpIW1lQXqikR/zUgbPDhx5WQYNfNecdzmoiOX6QoCUqwlKRxFRHDdRuk22ABKtAmucFxWDTFGVVQOoaaQUASgQMhAizgVtf3xDXEmQkLZSUBIvJVLoIA8lg4Gqqes1+EaYNIWCoFljmihscNatGDXvDFEUsk2cc7ii5Omdu6SRJu7uUJuSVqeDqQXHT0e0zRwl5rR7Q/L79xmPTun1uwgEpq7otHuURdDO99aETAAnsRbSVhsdxagotE1taiobMom8AC9kc48D6IjWYAlm8j5kDJVVTZZ2KcqS3d0dFmXJdLogzQS1gSRJGR+PSNIuSqWMx+cYWzOfFRwcHKGVptPpMn56yO1bb7JYLBBScff+A7yMeXo84tHBETfjjPH7d1jM58xmZ/z1//qvkdpSlTlRpFBN2wUZkxB9HOkQVetwGGvQMiKKNWmahsygzefIOZyxOOOw1tPYOzArgoxRPlswrusAui1BUCnRcRSyTpRGRxGxjogiRTdRENEQZEFzvq4r2nGCiiL8fMTh0SHd+/dp/dd/jawriskZmU4x1tLCI/IZxfkZcdrC1DWzRUmWdZguzqCyFFVOu9vm9PSMogaRK3qtIb2sz9MHd8BVHI1mtPpv0t+9ggNUlDKd55yeT9je3eXJg8dIEfPhhx/QbcdoUXHSb3P3/fcoFlOkCuNHHCfEaYs4SnBIvv/Om3z3u9/h737y98RxTJql3Ll3l/F4zP6lPYqyYDoZM+z3efjwAZevXOfRoydYB8PhFkIo3nv/fVqtFjdvvsbR4TGj8/NAMkpNWc5Ikox+v8+P//THpO2EyWzEu++/R2+wy3ha8fjxEdZYqjpnGGXcuLLNtZu7dNttzidTnInQIqaqcop8jl+UtNst5vMJUjviNEIpSLM2i3nOeHLG66+/jtSS6XxGFHmSNGIyGzGZ5vS3toiSiPsP75IXgn5vhzfe+h5PDp8ipKLb7TKfzZuFQQDCA+HNah6wtiFAVfCp0Fqv5glvAzBubBi3l9key/5JM7aJ5u+l3J2xwfdk6ZtkrVllJqhG8s2z7rfL8tIAFsHKCH7pp7Hc3y2zPWxlmg97tJbLxD5skw0RDMUDseF9QRIneAKRolQja9Vkl9DMI1JKhF9nRi5fs66kduv5LgC3QWJruTgO0kHrxVagnkIWhmwyTDYlgvzmv8v5tyE1tF5mlazf32ypVeaMYPUduQxuWL0nVkbsy9ddHYBprZPVHRBCEEUaoWRoc9bHNMY07wcpQqFk48kTr46ZJCmHR4e00gxbW7KsxbC/xXw+xxjLbDbjypUrjM/HWP//Z+/PYi278vNO8LeGPZ3pjjEyIkgGySQzk2RmKpVKWrLkoW3JZTfKgF2u6gKqbfT0oJbQ8PBg2N0N2DBgwV1GGf3it4JdqLbLaBVc6Grb7XZrsqxUSqmck8nknGQwpht3PPPee039sPY+59wbA4PBiExS5gLuveees88e1l7T/r7///s8n/rUp7h69RrOKXZ3hvTXCopuD4FAac3W4Cyvv7GHMxlOpTgnKfIOpjZIJRkelZw5dZkXP3+GnZ1DppN36fe2OTyY8NiFLbxXWKMYjw1VPUYlknPnnqRbnMOYnHlpCP6Amzf3mrrQOCdQWmFqR1VXDAabFPkGv/eV73Hu7Fl6vQ5nzzzBe1ducurUWSQDtjdPY+2Qcp7SPb/OZPIK1mmCK5s5XpCmGePxmCACxkTgP88K5tMJzhjK2Zjp5AghAt0ix1uD0gl5VmCBXncAtqLQgq2tdYoiR2lNlqboJCH4QJalhBBIUo2SmizLKIooM1nXNS996XMoKUm1YjAY4J1jOp3Q6XToFR3ObHTRn34SrTRSKWwTlKCkXkjuxSAEucgKCw5EWnDtYLwcUwIxK9E6dBpZDCk1eId3zbgh4rae41khy6ynZfsNRL3mtv1aZ+8wUnxSPin3X46BWHAPwFQsyIJH8rD8Ucp+epTY+8POjPlAx25+LaJnf0Tn8bDr83aM9R7HvdfBP2oky8Ms4h59+UH39eMo4fZ7eN8g133A1rej68t+ca/DhPtthA9Q2vt2r+OLE9vC7f15tZ5EBI9JNCFV+Ezg8wC5Bx2QMppet6SIXBA/SxmkNiBzeeBVEqT5v9l+Ka97Elhu7uXKfhb26O24dGJWulv2xnE5rvbNcGIbVkiMk9ty8tMPNLctyJbjV/YjySJZJMMvjvzjL6vX3+JrEEPYghArz2zLOleibTNxy6hRsLyqGC8Yt/apwAeBlp6xdEx1jklTqkThE4HNNOnYkeglOSKr5lwatX1gQdIcv1EnyZKT7/8Y5omHMT0t2MkPclzRMkl35YXer8X9KGrrvs7hQ8yBH2tiRGiFTDQEgXbgQ0zNGqyvkXdy5GjS6E9DK+8Ro9UThBQYZ2MqVxDMy5JAjMyTnmjoHnyMcHUrGu7QzFui0aAXjWRWbFAxo6SRdhICqeOE1OgpNNG4DZvqiUypIO6rCQOMThkWhKNX5AgfqCoXk0CUajxPDJA0hMCSc6e51tZAuJXwCg24LkQkIhRqwYOIxpgLIRrzdpBeNoNJQChJmmfRq6IykSjyEai31lBWJVpHzX7Z7Dt6fTQZMzpG/FvjQUrybodOURDvzHIQVTqCD1VVIUWvMV5tophlgjGmMTluPExCS3pF2RalJEplhCDxDqRapjw6Y3BmCSZIQfQ2EWoxGEipUTLEKPI2ITCAsY5gDdmgh5eeixcvMT46oHf+PE8+c5l3f+d11h87jVIFaQGmnFPVlt5mH29vEJxjPp8yn84ZrK9F4I6AF6ExgQ8E78gbmZ8QAtY7lNYQoi/IdFZSzStUqhAy4AIEE3DEaFQhUura4YLCq4zJbIxxCSovAIt3lvFkjJAzRpMZ8+o9ptM5w9EInWhu3drhySef4MUXX2R4NEYmGfPKceXqTTa3ttjZPWD3YIj3juFozHT2BnmeIVXg6OgW88mIfL0ACaWZo6WOhFaSEJzHWYMnRKAJT5ImCBFB6ig70sgNBWJWlxQkuYaQEF11BQjFoDgfv+A8NH4wdV3jnMNYS1mVWBdBt/l4zthEWZaD4AgagtZonZIIjbCePOuQdg3zScVTT36Gc2cex9US4WCtP0D4mtx5pqZmzU4ox/sUtiTVKTNnsKMjhFDUdTTsXTOOx7trzGeGrc8/x43DkkG/yzO9nL3dGzxz/iImz5nP5wx6pxFKknVyZtWUCxtnsJWlKg2JzijSjCJLOX/mNGe3Nwm+S5JIyvkUY6OXhlQwmc4wZcZ3vvcab77+Oo9dford3V2SLEOomLl1c+cG/byg2+3SX9vg1KnTzEuLqQwASZJw6dIldnZ2eeONN9jY3OLsuXPUdY2xHp05Dg8PKXpdnHf0egXDyRGzecmp7W1+eP1tbu7uMugX2GrC2vYWg40c4+b84PUfEpB0O5tU85pyNmfQ66ESiQsV/Y0CEcALSTWrKGvLjVs3uPz041R2xhuvvEmWaza2evTWOuS9DjZAf63PpUsX+YNvfJeuSplMJ7z77jucO/8Y+4cHTCeTCDISTZvbbIhWGqv17IlkciNh2GRGOOeiMGEz5jsfpcFo3nOhdbZi+bclw6WgquYkSRyzjhPloBqZv8U81oxxwYlmbjm+v0haNCaHwcWloluO+BJJkqRIJRbyQYE432gl0VkCCOqyJkmzaCRva2oXCR1nbJzvVqYQpMB5Cz7EzBfRkgSBNNWIxqjce3fCTD2Omd5FqUelVJzbVlZLxwyqRTuthuMeDSv7XF7pqpH8so5ao+3VRdCqWXa7j1XS5KQcUbtdS1z5ZlUYM2IasoYlaZOkKc7FTIWyrPBUOG/p5kXMRKkteZZTlhVX3n2Xs2fPUlXVwrcqSVPKyZiDgwM6nQ5rg03yTspotEeeZ5w+c4b9gyFvv/VDhuMJ40lJVhSoRGMxZHnMZKhmjskRXL/qSJMzSDHk6Gifjc3TXH76KUajA3SSkGU5pZkwm0/p9Xr0egMS1aXfS6lqgxCgE0nAElc3ijxPmU9rUuGYjARpfo5qtkE1C2xsdfGUFNll6vmI2TBB6JTZeJ233xhz5d19zp85z3RcEwjUpUUnWQxcTFKciZkmiRIIHIeHu3zuc8/zZ//M/57peMig36Xf7TTEX7zv3W4P52A0HNLt9jEmemB5v8wYQQSyLMMYG4nA4CnLGUmnhzWGTifnYH8fqTLGh7s4E+X1ZsM96pGg2+0gvOVg7wZKJ9GVKklQac58WpPorCExxKItW2sJdU1wDmvq5sE1tueFGbwLCClwAN6hVQwUcY3013GSVBx7HUGH4z9+xTT+k/JJ+WDlDg+L9wLkWpD5D1smxY+jtODfw6jHB5HHWgm+W5RHSJK0vmkP5RDHyB3e57JPQp2P4hrb5+1jSOUH+uqHAzbFyh9xx48+/DE+SHmAerhn+YAEz12zSe6++2MNM4hl/1y8B7dd0KNCwe97dyv1slgeizvXu6DxF5GgFCHR+ETgMxBJAB2j9WXzI7hDjwkszaxPlFVKoc1vXSaz3q2ThmOfLo4Xjl/SAp8Vx7dcUhnL7eRijyfP6vYMj5WnhBV6h7tsc7IcO7tj5yAIi2t4ZGXRxe4G7P/4yrFucbLfrA5VDeYKEJrsI0GLoUqiDlazvWrqNYm4pFLRALTWgjqVWAUuSaIkvhYgIu6qy/jsKnyARqK7lftadt07jZkr9zecfK/96MR1PSoj9g8TwPChJ9yTa8EHWLN8CGLizmVZx4+6m328iZHmt2giUGmieouioCgKlJJYF7XNnXWgY6RnjFxlIVEUVGA6K2PkH5EokEIgUSAcTrjmobsZfkWrb9iQCRw3eV2uO+NEG03B436F901GRVNakCesRutC1Gr3DNZ6CKGYTUrKuUF0Y+xte/0CiQhu0Y5DiECdbAamIEF5gRcyRgK0AJBMCO17UsdroJ0AV6aZIBAe0ixDJxLn3YIAigC+pSqrxjulycxpgHsRQqPhD1IJcB4hYoZA0emgZfTHiABZvCapVJT3SZKF/FQ7CTjniLHDyQLMjNetUFJHiYsQqIyLOva+ibQOlrqOJq7x5GO2iUU2ICWRENIalSQ4F2WE2ijpJMvxNvpiCBmzgIpOjhKB4fCQJE0YjqYYA/3NUyiRE1wgvXCB84+NgYCvIzETTYij3FeMYg4I4dEqJU1SlFQYa6lrR5YWCJVgrIs8ADoiq04sTKKjn4ugrAzeBUajMTduHpCkCTdvHVGWNfNpyXg6paxq5mW5iHyVUuF81GPvdrtkWcHe3iE/fPsdyrKi293jypWrDG7u4gIkWjKvDRefeJLHHrtEwDKbjClNyay05JXFW0fwBvwUJeJ9iQO8b4BFh8MzL2ukUOBjphFCNP4pNCSVRAmDFD62wRBBOzefNRlEGqRAK4EsEgIpKssIxtA8jlEbE6O8g8fWM4z3jMoKhKIcz8mEYjg8ZL6/zyzkMatiOuH733+Z8amEjpqjtaeTpVDO0PWcDRkIwz2yJKOQEWjvdLrMzAzra9jdZ2NzHWMtk7eukdClGmpkKBn4mtKmmO4mKt1gVo6RMuC8oTQV+0eHdLpd1jtd5tMhzlU465lPJ3Tyi1jjyDJJnvSxPsq1KJ3Q7XQZnL7EeFzGTAYXkEJSVYb+YI00y5hNppzZOs1sNicrNLv7hxjjMdYxHo8pCk+/3+eJJ59kNpsxn1cIIXjy8mVG4xlf+crvsra2HglInRCIMkob65v0u312bt7gcP8W45EjywNf/NJTnDm3zXC4j0ok3U6f+XxKZeasbQ3I0wShBOVshjc13W6PajbFS0jTjLX1PlVpePa5ZzgaHrF/sMu0nPPOlXd57MLjeDz/4Sv/gec/+0WefuppfvDq26RpxrWrV/DOcPGJxxkNDyIx3USdtZ40rpG7stbeBjjG7AmiKXyTdSCbTIo2Gjz+rD48hUjWNQO/EHGJbYxZfLf9vrUVCNBKr3x9dUEuVtZDy2O0WSztylu1njyIxvMqnm8EXRVKSZwL5FnSkAcw2Bg02T81tiU2gsf7QFVXlOV8MQdprZFaESUkm2wZQEiBVqrh+Rs5whCaeaeRJfOhmR/FIthASYloPKLaa27vh2zlvlayRJbkRTw/CAtCpc02WUyfLOvrpNH6qiRX+9MSIKvva61JkmSRWRJE4y8VAi6Epk7j/8bE7FRrHVmWY4whKwo0mrqukTKDYJnaKUoqNtfW2dvb4+mnnuKnvvxlfvCDH6CUZNDvc3hwQJYXbG5uMx4NSRJNZebcuHmdbneNbrdLmj7O+vomaZLyzKeeJjiPMRXGCLrdHuPJHr/+a19jc/00t66PmYxL+gNHrzvg5s2bSKFB5Ewnlt39A175/ttsrZ/nxc9+gYDg4GCf6XyCsQKtC4TQWGMR0jIYrNPN18iSNc6cukQImllZMhtbNrZPceNazdEBuDpH6MBr399nOn+b7a2L1KZCaofzNUpLvJtDsEymkybjyiKlo1OkHEnHoJvz9JOPs7d7g0SpuAoJHtdkT4yHB9Rlzf7hIUOdUXS6WGM52D9AJQndooNxjixNmM1n5FlGludUdcnhwR6pVuzenLG+vkawNePxiLV+j9Oba9y4fg3nA1YFlBZkUkUpOWvBO1IpkGnSrEeWUWdKCtAKrwTG1DEjS8gGj5A44hgbAgjfzPdEpdM4LcrF+i+sEK/RyCquVdqVnneNKqRn8WD5SfmkPJxyF1Jk5eN7R+B/FMtH9XzvUtcPAmasgg/3+/2TpMgHBWDEBzwe4sQhH/U9WQVxHuGxVsmND4rU3O+2dwXf7wCO35Mc+VGUH+ecdJIEOwlmwkJKbvFeuEP9NtvcCyFf7OthlmPI8f1vDyyjvO+2qWh+2n9Xrm9xGSuUSLN5S5Tcbb+rcljtjgIxaFUiFvW9SlK03wysnvLKq7CUWorfCw0f3zwX3YEgETRZKs0zwDKY6nguiDh2Dsfr8U4Eyb1vxe3tZkFW/MimnI/eGnBR8ytT7/Isl21EiJV+tshSilkjS4IzZokoEc3YU2UpvKRKayqnwUsqA8ZLaq8QnuYZU4LUaATCRC9N4TzRcjnOdeG2M14tt999sTpn3TZ/ntzPPUiEB51rV493p/Iw59Q7NquTd/FB9/NhyrK9POo+9rEmRiStgY9odOH9Ioqz2+k23hYuglbekyYJ8zKCKlqrGLVoLSKTzOdzfAgoFLTR6yJ2cElYmEMvb45YNtoW5MbRJhHGzIxmE9kM2jLKPS3begOoyZjZIbyL2whAOIKryPMsgkjG42w09fVhqZ+3woa0/ywaTmtA1EoUNQGViABaKgQCS6MnGVpNwHherZmuIMpd5WkE7oNzKNUA2MTzLst5PJ6IA55qZCY8ASWiNj+hFVrxaCUoigwhBNY50hCjKT2xzqvaEIRgVpVUdQ22XhAorf9LW8eNxhTehmgbEojAsATVup06hwxL8iVKVDg8EoJakFiJEot7Ca05sMTOJyS9HOPnuHJGgsOYikR4Hjt/jt/7xlWePL/OtRu3+MynNN1OIFEKf2uHQbcLzmFtjTcWTfQwEEAiNa4hbNI0JdEpSiZYW2OcJVPRHyWgkDJjMi6RtcLXFXVtMNZg6opZVTGdVZTz+QLgzPMOZVkhRCSMbEw3YmvrNM47ut0u29vbHBwckOZRemlnZ5ff/4Ovk+k0RsyrlO3TZ3nyySeZzefknQKlNDd2buClpCwdV2/scjScUxsJZFRlBKSEUiiIngciRiCHEGKGDtHrJ0ixJEaIJE+8N8tMIoFCCtWQISCUx9syyuCFth3EaH8xb8HUEw9u3pEkEiEU/ayDVjlisE7S9ImQZLx3MMcLx+NPXmRze43eGmhraPLISIJAeUFqLLmEJMyQCLJuQlXfQrgpUge093TqMfPZAXla0NUbeK9IVMBhsfkmh3KMD1MSkZIlElOXWGuYzmbRz0drtFaoIBE4slRDsGgVEDgIlmhBI/DGIL1gfnCAM4YXX3gR0g47t3ajBp6IkneXLj3JZDwhTXI2t86hkoLpxGKFY3Nzk42NLVrPh3PnzmOtYzafU5sa5z1PP/MMw+E4+ncEhxIe4UOMkJfw3LOX+cErpzga7vDH/sRLPP30JQ7393DecWrrFLWpOH9+K8rTWM94NIIQWNvsoKRCSkV//RTDoxHOwHByyObGaWblhCtX3yUvcpIsRSAYT2e89uobvPHmu2TZGp95/rNcu77HbFqxubHG/v4uxpbUVUmaF+gsIwSPtUtwHGjGE3GC1A5IGQmBlkxpSYEAGGcb424dx/oQCK3kEo25uSBm19U1SRKnWGttXDqrRrawyaJYyDp5jxZJbLJtBmBYkgVxDosPCVpFD4/2USZTGmMqUq2QqUKIgA+W3qBPmqbUdcXh4RG+9rggyJIMGQToND4EScm8lA2R6DB1lN9KQkJa6CZCPcqIKRmvR7BYxjZzYohz8YqsXRyK49ivkI2fSliQIi1BBeJYFslCxmtBgCwJk/a9SMw0hEy4O/DSEh2rx1vuY5kloptsxdXv+sZThuBRSbbIZlQq3ielFMYY8jyPxNNan9HREd75aFyepDxx8RJCCM6ePcvW1hZvvfkmw9ERaZJgrcXg0RKqasZ4MkIngSRVCKkYjkbsHx6xt7fPmXNnMNYAHu8tgigPWZk5LniE6DIeW27u7LG5uUGWJ+zu7yNlhhAZhA6CAUrOqaspUmbknQ7z+YzpdEpVzXEuJeDQOsMYUAq63Q79To9BfwtCgg+KNM0wZsb+nqU2Y3zokOU51gWquqTfOYMPNd1BwWQ6xk5L0jQjUQllGRDSY4xlPDrEmJrp+IBUC3qdlNHhHqYsUamO3kEhBkRoneCMoVNkWNthNi1RxGzUbjcneIESgiTPyJIUby2p1mSpIk0KvKlYG/SZjo+YzycMTm1DyMkSibcV64Ne9MZRsb1kSQKAc40MnPPR76fpmIHQEDZxESabABnZZIVYZxFSxzWOdUilm6CSOFb44BDtM1V7nGYNt4o7tgRsfJ5qM0vgx6b7/kn5Q1ruB9n9KJIMn5RFeZAI09UMkkdOWLSHFDx6cgR+pO31UQzHH4hoeR8Y90dW5/x48Npjl3Y3sPNEOdnmW4Dztoyku5AnD7t9fdAMFHGX1ydLm0wtYIE5eQFOLDDcBYREK0/eZpCchJDbJyG44/U32FhYIS1Ont4q5xSOvVrN7DhOuhzflhPfXL7XXmIQq5+2FMtKdS22WaVDTu733kXc47+PYvnxzd5Lb5j2//aOxi4Y35eNOL4UEprXWgi8dCRB4oXFKUlHG0xWRYUgE0kR5wXSSoSNlgAiCIQXSLmKyTaBc37lbq0258Up3k5yBCGOkyOL7e8whrxfdu2PcK59qOWj0MRXhoW2Cu//tO5/y481MaKEQIYm4k7IqGXXmMUOet3G3yAyhoRAojVKRvAjSRKm5YTaGqTUlGW5kP8IgSghgo/eIMQHXhpGui3Hus9K1DGyeVBWy2jhyFCIha9HNAeO+4vSWiLusNG898JCXZJqBQGs8ZjaNWa1BoSLhI1vmA6afYXQsLHxQkQbydyAwKqJFohRzRLVPHA771ZPsyFSGlktCVmWkDXGqUIGhPcEZ5HAfDoneI+WMcoxGi81rbeptiBAS4lxDoWiyItj0cHLEg2tnQtUZUVZVQhbIYKlzQoK3iEb419BlNrAsYxs9oLgRDQw9/E9EWJUNWIJLrQDZQiNlE1wEUjWkhCiOTjQGKE7bF0hcJHf0hJsxenT2xTdDkqnTKdT8l6PtFPjq5jtsrG2RqIjm11XNc47ZEvkNYbCwsU2oJWOEhkN2GddzAbxTjCfG15/5XVS4bF1jaktrXJ/bPeKbq+DTiEB1je36PUGSBkNqAWR/OsPBsznM7TWrK+v4Zyl0+0wnc9wzrK1tYVE8NhjFxlP5hRFhzPnzvHOu+9S1oYsV1y5dp1rN3eAKH2UF+sIUZB3TyHQSGqSTIKpUdpGTwEU3rXUoSNPzEJVMrL8cUnkvYv3hdCY0gpALQzc8Q6pBFIJQpARHF25n7GJuIW/Q+sF5JzHSoFQCUFK5tM5GYFOnoESOO+wITCaThhPM1587im0TamkQotAUQ3Yefm77N7agURhsFgMKtN4CaYu0QSoLd1Tm/SUZlbVhGqOC9GXIctTajNGaIvUsY/maQcpNFmSkyYJs9GU/sWLvPPDIUXisaFkNDzk4KCPN3OUjMbbUSYrwflAbSDLwdnA8OCIzlbG+qkzvH3lKmtraxzsD/E2MJ/V6FMZqc5xQbO+sc1rr34fpTSf+exnmM3mrK1t8N57V9nd2+fxxx/nzNlzfOe732d7e5u1tQ3SNAWhmM8qZPAMOgXXb15BKcvP/+mfxYUxG5tdTDXF1Badpjx1+Rlu3HwXpEenUJoSlQqyNCNJdJTIA6wr0amknM8pqylbW+t0ewWnTm1T2Zqj0YR+f8Drb77J/sERL37u89y4vsvm5nk++9nP8v3vv9pI1gSsKdncHBCQOKGwrmGJW3M3oVCiyVBrSNdVnX9gAZRHUqN9gDgO0rOQXYxEgRDRG8J730j6GNI0mjY7b2kJV+DY2CdlzGxZtmW5mGuEEDELg/i+lHGRFkKI47m3rBUFvX4XqaCq5uikwxe/+HmyLGM4POTb332Za9eu0Sm6XH76KawPHA7HHA5HCKDIcrSKZtGzMMc2ZEJLiCzIJOeQjceRVgpBzKDwi8yO22IGIHisd7RmjW2GjJDLjVpePzT1E2j6r2zJ75YEWfosLI/XZo3GnbTEajsvrxqxr87XbTbQMgsoZioqrRp/iJhRpKVaeJZEshysMfQHA6x1lGXJ2fMX+OIXv8D/9D/+KqdOneLihYt84XOfJ89ydnZ2uLWzw6uvvspjjz3GbDple2uLgGd/XzKZjDG3LJtbGwgZx74kyZmMa9Kkw9aWbsY6t6grrVKcjW19Nq+oS4XKc5TKSdKELE8Yj8ekaYG1GucVAU1Ak+UdOt1uzBwyntpYrHUo1ZAIAep6zubWOj5Y0jSuA3yQmCabUuseZTlBpxl1XTOvjiJRU3l6/Q02troUXUF9dcrwqGKt3+XU1jrj8YTt008SguCdd95h9+YOrp5STo/QUpAoSaYlzlSkSoESVMEBFrCkaZe1QZ9Ex0AC5zwb6+tUVY2pXQz4EIJOp4NSLVmhSHTs59untpnPZ0wmYxIlkUpQzqb44DGVjeMbDSmx0s6UhizPCc4RhGh4ygZEaDJsrTNYawhCxoxZIUHoOB8FaEJUFlkjcb0W53q/kjm5MCENgeAV3tsV2DpSkiF84r7+SXnQcjtY9YeyPALs8iNfPsw1f+BMkB9X+Y/lxt6th4oH67wfV0Duvsr9gJF3/hpwol7adenKe8c+btrfwwxOuNeu7vnZ+5xDi/d4CC4gbEDWoEqBLAXBSJyLnrM+iAWEHbmUFS/WFcIkPofcmfAQ79M3W2+OBX58l+0DLaWxQo6c4O5vI0RWX4Xls8EqEH9s7AjLZnH8Ou5Vpx/vubM9+0c9Cqw8aTW/V91cVmmo2G9FWPa5qGzjF4HvCoGWDhskWjgSZcm1oU4UVZqgMofLFaEIuFLgTPxRtUSEgHcB6RuJLr8kiVv89VgTXOXdTpAcoe1LJ2vvXuTIsgo+KQ+rLDpt+4x/e3+846jyATrtx5oYgZXBW4gIWDem2d2iQIlo6KyEaIycI/jvvCdpJJvq2hBIKWuDMS4aUQXwzkZyQMU27tzSUgpaMGZFqqMFjwSRrBFLCa0Qmu+2REDLqLfRsMudAjSsZjQN6nZz8lRibMW8LLG+jU6MWSNRAN03k7RbaTACEaLXhwwBR/Sz0Eri4qfR/Fm0BltLIkM2JuoRVIjSDWmiyLI0eoaEgGvqR0pBXcWshyRJsK4mhGhqK9oUDikBiVQB19yDTtFBqmh0LITEOocgAlB1XTfARFPv3iKwK5G+ntYTQMQKo6k4BDGbJWYnAAScMw0J4ohMdKz3EFQDTEQQ1FmLVFFCRiOj/BoenWXU9QydJoigMfMp08mUUX2d6digBQSiWfrR4SFVWVNPZ3iXUPQvUeQZpfeUZYWUKmYmhUBwFiUVSsQo4E4nRStB7eN1GGewrsa6KMVxcHDEoJORakWn2yUvcpSWJGlGVnTZPr2Jc4bZbEav18NaR5EXzGdzhsMRxlaMR4ecOrPNeDzBB0NtShKTUlWWvOhz/vwmw6MRZ89dYr027O0dsHc4ZlpaXAgcTSuKwQZaJ0g0W5s5RZYh9Tr7hxZbQjWfk6aQyuhxEH3fFFneI01yAgbMGEHTxwSxnwWJ88tFTBBNVHi8uRF0Dsmy/y0WQbAAmWgXx0tz2yjBJkjShNJ5srzLu2+/x+Xzj4HSCKHQSUaWd7ixc4tzW+tgqkiWeEOaKISvyZSgX2T0lCR4wdQ6pE7xUiCJWVJVOaX2GYmzOBOojMQGIjExnTMiYFWF7GQkuiB4gTOe4ALBera3NoBoTOasIdNgqgoaSUAZGvNdH0AYPOCsQKl4b6uqZn5wxLWDMQ5JVe0zSUYUacLRwRFbmzN6/XWG4zk7N3eYTKZMZ1N+87d+C2MM3U4P5zw7e3u88dabMePAOJRKmEympGnK91/5LkoEqtmYnZs32D+4yRNPnubs+T5JmmJ9yfrGNtNJzbyqOTg4wthAWU8IEuZlTafoUNqaJMsoK0OWCIpOn6qaceXqNRCSyXTC2XOKre0NVJIzt47JdEre6bO+KXnqmad59rkXqCuP1inD4ZDd3T2SVLI+GACew9EEgm/G8wj0Q8CH6DHUroukiOTcclw/Ps4vMgxofCiQUT5QEbMSFwutmB2SpinGGnxwzMsZly9f5ubNG8vMRBkNzXVD1gsB1kaRxOAjaSBFdJtqCREkaBnle2SIclzdLGMtzzmztUltao6Gh1S2JisSzp7eQgjIC81LxRe5du08hweHbAz6rG9ssXc04pXX32A0GpGm6UIuygdPWdWx7zmPa8bXJcEgYz1I0RCejtZrfTWNXcqlaXtL2reEiFQSqeL1tWbtiwwSEZPj20W8WKQyHs8WObYOEE0dtQRIiHOsc/ZYpkg7v7aZKccyRFqZNRczXUITTKGVxDuHEJI0Tel0urz44ot0uz2+8pWvIITgj//cH+O3fus343oiwEsv/RH+s7/wF/m//l/+z1y8eInZbMbu7i5PPPE4N2/cpK4rLj1+iV6vy8bGGrf299Fasb65wXQ6Q4iETjdjm5QbN24gpWJeTVA6wduA9xEgt7ZG64Iik1jjUTpFSElRdNBKU1UmviegauQWi6JDnnfwXiClxtpAnnfxPspIgqTX6+OcpapmVL0eCENAUxQZtbHUVY21DhfmCCHQeYKpPToRjXwlmHrGudOn2FrfQARDf5BRVROyNPaRx85ts9EvOHt6kzezhNOnNrGmwjmDMzUyaMq6orY1aZYjhaKsZtR19EGpqhnzsmI+ryAEnIPapgQPSaoJwaO1WjB1s9kMIQVZlpMkmuAdZWWwIt77Tp4jVYIPMctDJRnBeWxtEDLBiQSn4vwdk5CbIAZiYIbxAWMtSZqjpMQ1QRzRANIjVQwOCN6jtEYC1rhI/i8CWJYrQu9j+zS1byTnokQexECZT8on5ZPyPuVjA/bDwwH8Fw9F97+r4+mWHwMA/f3O7T7r8UHahlj8On4+D6O67itjQNzlHO7rm/d5DH502SUPqyyR9ruUE6D44u07vCdWP2vfOwlyPiA59UGKuO3FnT+/n3varEGE8agSkgkwk/hSUVlN4hSpVHhl4xNHMwzE8NkVQmT1sHc/sxUYalm/J4mOu32vpUuWhMby05b7Wqzlj+3v+NkssCGx/Pw2yaxwsvpW93unssyCuVcP+egSJ3fK4Xlkh7ptKjp+N1m0h0VXC1GhBxH/KmJwrBUeLTxaehLvSGWU1koSh9QOkXhCIvEp+IToo6NB2CZAWolG4rY1nWYZLHdb0wnHm1Q7rjQIfGAFCV6kLdyBHEEsUftHzkTd435+3Mby+ymL+oVVD7NVXuvDlI81MRItP5ro0CCbBuAQQtDr9WNkrZS44El0Ru18A+p4THB4oKwtngRjLdNpRb5eYNwc0QA2MujIFHoRDaxoH4ij9FQ8dgNoIRuCRBJcQ2Bo0Ug7iUYmSzQJHL5py+0g6/ELXChGw4fa0c9TtK4IVJS2xrgOWgi09ARKIuQbkEI3MlmyNQshoIlEQJSRkioADUkTBC4ElAJHFQePoBvzdX+MFfXBIxNFVuQEKRCJIoiAbcD92TxKG7VgH03EL4H4npBYR0xFEQIk9Ad9kBpTB7IMtAhga7JEUpUVtREYC7V3pMqDNwipcMahkgjeBR9oDdOCiACD0gkihCbCNRp+BxlABGQQ0TsEgZCquRdxeneeqBcuFELoaNzuBTZYrBB4pdESfNBUVuF9QuITtnoZVDPGw122+55+lpFIi5cBY2uKU+soAcY5JrMSoTRCNVk5HrACLRTG16wNUjp9hTmMgEqWaoydYuwM6/tsbJ3m8uPnybSn1+3ig4sR99ahdUqvX1AZyXh0QJL0Cd6xv3uNoujizIx6PqKqKrL0NAf1DOfmpJliMqsYDh2TmefipXM4Buwd1VgPo7mmnsyZzVOmVUlVW5B9hCxIsg4b66d45523+d3/4V/zqWcu86mnL3H29AVmkyNKYTDVnLKa4T3sHRzhnOelL/0kG90z+DAlhDHGjskTjbMBgkKQROrKWaT0CB2o6ilZkiF8QhtZH0m3JSAbmoWORDbtOBKjWuo4xQpPlnqCr0nTlLRbIL3He0feyehlCZsbGySpRnYydDUGqaI0mDHoRIH05J2EuqpJlCTvZcxtTZYl5FJTKUFtKlCakDp6SQCVIXQX7wyZ6DLsdpkQvUVUEjNhqrLEVQVZf42LFy9y5a3XmI330akm0yn9bh/v04UHhvV+0XaNDfTXC7YmXVwICJmBSEh1QjdLObe1hRaC+XiOCyz6T38wIM0zbu3vcXB4wBNPPMEffPNr5HmX/f09er0ek8kEKRUhCMqyZDqbIWXsZ0fDIcHC0dE+w+mQC0/8NMPpPuvrBU4EjAioLOPmwRGjyQjrDJ1OF+cE7753i0Rpbtox29unGR1M2Lkx5fVX3ySEhP7aOiJJ2dnf5evf+zZpNiDL1wFJt9Ph8ctn6fS6GGN55XvfRouEi09s4cOc/f0hg36fyWhCrjMOxuNGEjFK2EgRfYK8c0ipSfOMujIoKZaSV430lhACrRs5rIZkE0ISXIjTgWgiSYiLae9ck4USTdATLbHGUM6nbG9v8eZbb5Nk2cJjZOkroCJBEmSUSmzBexnHVSUFwkGqJMoH8iRhfbDG1toa63nObDJmerDPbDbCK8/G9nmyfoEPnm6u0XlCURRMjsYcHh7y3jsjprWJWXTB4Z2FxqsrSVMCccyy3sZsj4bYj2u9pd/Hqm9HJLmjeX27zcIXpJl5aFKZW6IzEvgxY0u0D2MtydFOj4uFnV/522Y0tpHzAe8NLIhxcNYRrDv2IHOSDAlE2a+YkSYwzkJDXCVakTZyWUW3oMgLRuMRg0GPPEspZzNOb5/ij/7sH+WtN97g+997mVNntnHec/XaVf6/v/bveP5zL6KUonfzBkejI/7DV36H6XTC7v6tuPgXgq3tTTY21vDBMhwekaQ5UimyLCNLE776tTf5zItPk7GOQON9jZQOL6KXmDUOh8E4i9KgVBIzRHz0PFnvJGgpCc4hgkLJFKUS5nVNIjVHhxOcVU2wQev54qjnDqkD+0e7lGaCTD2n1ntAwmg4ZTaDydSgdcLFC6copyXvvXcFVxsylVHOpzhj2NrapqoD1XxOv98h0ZJuJ2et16Hsdzh3eovPP/8ck9GImzvXSJSiU2Rcv3mdJE3pDwbMZlOyPGM0PqLT7TKdTTHG0u32UEkkbZNEMZoeUqQFpoptyFdtkAYURYeqLOn1epR19P9RKsoNouDm0QRrPAFFEIp5VQOK2proO9a0d+c9idZU8xqBot8b8NrbbyHzjCTrNg8pgkQnTKdz0jRDa8VsPqMqDUJIEi2oa7vIgpKikd8K8cE7yvUppBQxI8t7lAw4EX1K6rq+19L4k/JJuUf5iME2Pwog/oMe40cBZjzS8oAXcAwQerhn9FDKIgjuIe7zftvGXcEncby+7gVY3ycxcazcCVU8efx7lo9Yf39U5V6XGe620V2Azds2/RGCnCdP4l7Xdb/tyQdwHlk79MyTDgOuJzA9TRikiCQCz4m0KAJOeRRN5kgbxd+AkSfpitVzjc/gK9K2K+HcseqWclnHQcyVgWcFbL6rPfpik1Xi5W4UyYn9nyBqwkr/Ese2v1NZzT65c7n7Ofz4y4+MFOH4/b3T8Lj62Wo/XILcK7JuISBlQIYlQaKlR4r4jCwkUYJaEiXaBdHPUkAQkrDwy5EsSM62S5/0C2rJ0pNNZmWMWJz3sQu70xhyl7nlQdc8DzL+fOQDHT5EOXGPHtZVfqyJkZgXFWtlNSVPKUWe501EKljvkCFG8wUpsM5HjXUpMS4QRIL3NbULKK0aXecYpR+fXOXK4N5IVR0bn5vsj5ZdDO3fBpJp3hNCQCOF4mUrJBSPEZpowfY4Mii8FWSJRCuLcyXWOqxTCCGJuSCGECzQmMWHmJIWfAS4RIhGWNG7I5Ii7Vm3FuvxGd4jiKbe0J5nPOfQgM5aa5IsxQVPVVkALNGTpawt3kcaRtDKhYWmdlpTlVhTEYyQ5J0CqTTGxkh4rVr9fIWraoRIKOuaeWVQeQBnWwqoAS4kovFJEVIgUQ3rHAdBqRQqaQxMmwhnYyLQ0dZAIGayxLajcT5AGQhEIKSqaypT4VWMOBe2YnywR08rtnqbFFmHo3KMwjAc7rLVX6OuDYPNAWU1I5GaRMWsn1vDitLUoCDJNPV8Tp5ELXeCQGuJsTVKxYwZraLOYtFJCVi88Aw21hms91GhZvP0GrY2aK1j5k+nh8g76FnJWUQji5LQ6/UZHhySJJpuv0vRLdBpQpIljGczDo6GHA4Fo7EgoHj32hH9/hq7u0fYILh6bQ8XJEEqkBleZA0p2EFSMDKaSvR49d19so1zqP6c85dfYHvrUvTIyRJMXZEmGaPplP/bf/1f873Xb/GzX/4pnnvmHFunB1DuMK+GFFmOqz3BgXcBJRO8qwhYep2CuqzBq+aexX4TpeTAy0hOtoG3EoH0rjHbauTriGD27sEeNpgY+S8lWaaQ8zmJUhRZFkmzukKrKJniakvaKUi7HYRS1NZicahUMq8nsR16j3OWupyS9dZQRYGfjcHMscEQQoYUTYaBi5lWAYfSgjTLcMYyn8648LnHODw84OaNm2wOcrRWCBRpkuF8QKjQZMZFYkQgkcoTgiXvpEznFf21lHJuGWRd0iRjfDRid2eHn/jiF7h64zqjyZjR6IirV28xHU9YX9vk+9/7Pl//g29SZBnzqiL4aMaeFwWmqpBas7uzw9raGlVVk3Y7eAG19UzmhiTrcjSac3PnJqNpyqeefZbxrX0CinldIZMMKVJ+8Oq7bK6v0+uvkWcZRdLnvXev88r3vsvp02c4f+5JjJV0uj36gy1eff1lxrMZqUt57/p79HpreFfR7xa8+upr7O3tMpvNWF/b4LnnnudTn36anRsHVFNDohPK+ZBEqqhYKkBo1UjkRAk2F2wksBuSLUlilpFSspHSWvpmZGkaI7iNbXj4KIHXkhvN4NlINC0JZp0oxuMRiEhKKd34WDXnFOcL32StxCw+gWieKTyJENFHxBrSIBl0CrbW1tkYrNHLMurJhHoywduaJx+/xJd/7o+Q9HKG5QSdpAwG68ynMzKdMR1OGB4ccXQ0wgmFMZY8y3DeM53NUGlCmmXxlKyhMjXWWZwLqCajxAUXpb2aa23njJPeIHGsb3w7/JLIWMpOLj1fQmiFX1ceVAIsfYTEyvfCanUvMi/bNUErQyYa8iXW5UrGyrEsoCZIQTWiSDLOpWmiY/uwluAczjrKcs6p7W1uXrvObDzh5/7Yn+Bnf/Zn+a3f+vd89atfpSiyhV/Je1ff46d+6ktIIfhn/+yf8dyzz3Lx4kXKsuSFF54HAvv7++ADL7/8Mmvrfc5dOB/7RKdHkqasrW/y9T/4OkdH+0S5y9AET4gmA9LifbwHxlTM5lPqOnqgpEkHIaDINaaumYb4YGBrixAK58BaT1IklLUl+KUnmjFzhCCOi1KSZglCe6yfkaaGVCs21raYTguqasCtW7vU8wmnT20AG/R7XRLtUULjtaCejTkaHVL0ck6fPsNodIQ3BUWRoVWgqismkzlHR0dsrA8QImd3f0TeLQghREK12wERx7/x5JA0S5GJJEhDbSqm5ZCz5x7DYWNWi7VkaYF3joODA65eucZgbcDm5iZ+6rm1c4s0zyPJUNWcOXuGyXTK4XBCortUxrGzu0+WFSCaMUwpsjyjrqvot2YD3np2D6a8e/Umj19+AudC7EdaM50dsDYYMJtNsNayu7tLnncicWUFSmZY60hThZAxiyY+ywWsdWgd0FrjGtP1KKcX23rrPfJJ+aT8oSht5OajRB0/CAAe4PYo8Udc2ufHh3XAB8qWWUEaxAf97gc4yokAhfsqj4IUaYv4IPV+F2BRNPu5AzGyKuP5gcv99IsPs/877u7e+3uYGSVigTC+Xwkfojmuot53QdDu1QYWwCg/WsT7XmTYfdVb80AcPDiHqB1q6kiHnrqjMANNtZZC4kmFI9MOJQM6NJmsDSlynMRYwG63kSQL0mAhJdTiSGFhdbKowhbyEkv6Y5FBAFEumJVhrLnuVbJkCbuJY2dwogZuq8o73v47NYvbeKl4BfeS24qo191zTlb39CjKg3aRRzv93k6PiBOfnTz+qpSbFLE9SLH8Ua0PzgJrDMf2GHciGsKkmfv9badBK++2cmCWrMmyGS+/sCRHjn3lg5aTnerRfenOY9vDvNcPozF/mLH9bufwgOf1sSZGosG5bCKBl94aWms6nYI0idruvjEst65G6ggkKKFQSGxtgNjWjbWoJCEYiXfLzhbpldZgdzlQC3kcqIkZJvFzJSKb6Zv3V3u9lDKa8DZgRfBiAQDFTSQSiXeQFhl5kjEeGZwJ4CRap8igkIDzAiGaaM/QDMdyKaklCFEbS0AgZl2IYBHSI4mEjxSaEBopmdW6bfgRIQRJktLJC6SIwL1SEQwWOnoCWOtIMx1BaRlZ2VgvsvHqiJOzlBG0z4uMNFPMTR19JbSKAL/SGB+QMiEEByHKd4RaIUOKd5HQEjJpiJHmLoUoXaFklNDwIcE6RW1q6qomCElZgRBRP95Yg13RxrfWY5yNJvdNZHhVG6qqpKqnUY88GGbDfS5fOMtWv8vRZIjMEhyB7dPbFIOcsjbgc7RKMMZR7u+TFxlm7xDjalwwWFuRJBpnPVJojA34oOh2TyFEBykm1LXlcHzAD99+m81BweOXzpB3+giRMp5Ombxzg7293UgkOYE1DotgPJ1GyaiyIrjopeOcp9vtAoI0K9g/rJjMgLIm62yxkXaZ+Rm1cRxVjnmY0elvYyvDmccHWC8YTWZYF707xrMJw/0xs9kuzgaSJOWFL/8c87rkO69f5WvfeZVOnpBpDS6SZipJyfMuZy5/mfl4xDdf2+GN93b41FNn+cynzoAXVKMjUuXIdYqtapyPEee29tjaQgAtPTGbK7Yp3+oMyhCzcVqQtO1zrQ+BlED0RxgNR2RZjkw00liCsSitybMu1gqshaq0FHmMGA/Og7fUzlMHxdwFiqSLzAVzOycEgakc3U6PmagYTScEKaiqqtGxlxiA4KmqCr2mYuSxCLjgY6SwEHjv+Pa3vsvTTz3J5vYWhQooGQFznaS4uiKEaEoWpCCGR0RjayUVBEXe6dDrrdHb7KG1wpcz+oMewgd++MMfotIEKQKb6+t88+vfRkpJsDA8mDAdzSk2O+ztHPD8Z59HScl3v/c9kiTh4sWLuFowG1cUnQ7Ce+bTESJkbPT7XL1ynX4v8BNfeoaiJxiNRyAsm1trXL02ZPfWDlk2IM8y5vOKyWTE0dEBZu4ZD6d8/oUXeOGFF9jaPM13vvsqt3b3+cY3vkVvkPPMM8/yve+/iU4G3NrZ5ezZ0wwGW7x39V2MVRSdTWZzzze++TIvffmn+czzL6CC5Ft/8E3UvsAhFwC+RNGudqSg6fsmDrs+kCQa7x1aqyhv5l0kTmSUYgveU86mZFmBMTZ6BomlBJeSMZsuy1KCswvQ2tgSrTM6nWKxJBREuSwRIjGwkKcSoAiEJrstEaCdo1sUrHV69PKMzf6ATGvGR0OuX32P3qBPAM4/9hgXLz3Ojb2bdLKCLM2YjabkWU6Qnhs3bjAZTynnFVZGz4i0yEm1RqcZlTHRLyrRjZSdx2IJ+CjvKONjgV94UMXxfDlnnPSMivOBabJIlhkey9LOn6syXKtzfFtOkjCr0lgnt23fa71BFnsN4dh3mxtxrDjvGY+nJDqOJ50iAuidTg9jHFmasr62zv7+Pv/wH/5Dut0eSapxwVFVFWtrA8qy5Nd/4zd455138N7z7e98h3Pnz1B0C4bDI4qi4OLFi/R6PULwjEZDJrMpmxunGPR71LUlS1O2trc4d/ZcXOMAxjaEqJAYYxaknfceay0u+MU119YurtW4GBSS5Bmj0ahZL8W10Hg8wTnf9AeHlFEWEzyz2ZQnLj/Op555Bik8UtRo7Tka7rC2tsFgLcdTUVUz3njzKtZVlGUWJceyHIDd3V2CgFPnNjGmIssTbt64znQ65uLFS1hjmM9mbJ3apK5L6tmYRCvG0xHWWvKiQGkd+6wUzKopXjiSNGVez+K6LVVYbzl19jQCOBoeIbRBp4LHLm3z2MXTSCnZ39/n7R++xtkzZ3DBMxuNKU1F2j1HORyzvtEnywa8+tpbOF8zmlTM5nPybodM5bx37VoMsqgN09GYyWTKZ577LMbOeeUH32NWVhR5QQiQJAnf/IPrCCXJ85y1tTU21gYolWJFzGSxohFFdTFDtX34R0bfMO+AIBdjRpzOBIiP9dL9k/IRKB8GQHkkoM4DPvN/sGPcJwGzSlLc62If9rmugjI/rvJAhMqDHKaBOD/IYR4IRPqA24vVf0/so8kGXHwmTn52+3fFnba93xJue7F8GZrnnA9ahw+jPCT+7v5JkbidEA9IjtwNFV/085MbnjjIKgr/4y4LAGq1LZ4oJ+soAM4jaoeeGRhqQhpwXYnNU2wIVDhm2iJb2SLhI8AvYr3fiQBZdpVw7L/bgPDQSrYfh8SXclZ3yg1ZMiLRfu04qL6kHuKYLsTxY4bmDFsFkTud+2oGy8kqE5wExVc/uVdpBZDvXAT3olUeXmmv/wN9YfG9h1hacmFxX5bt407DSBuy3N6b2MpjW5Q0ZEgT5H2sLoOIsfLRzjJiQS0OdPKiBEuyZJV9O3Yi8fMg2n013xOr+xO0Uk73uuN3Zd1Y1st9lwdeI5ycy3g4c/zDIuUf9Hzu+/D3v++P99NVA9ovh+MlYFJ0shhVKGMrlk2ESqISSh9ARhmLqqoIzuODixHpSRrBQr9M22tNv2M033LgXnzWZq0IWFWMEu12rUZICJG9VERwo80ukdFPpO2f7XDgnSdTkiLNOTQV3tgIWimFRq2QH4v8jwha4RuZryijJZroXBrjc49r8i5aYS21fFZYaLc3EbfNw4GQgqLTIdEahEfrbDEYlGUZox3Jm21X6qmduxd/o9RKlqWkiWYuShAeIdVChsbaQFkaUikoK4+ggxAO4ROcjcd2XmCsxxqDsRZvPdZH+ZvaWgSRfCqrinI+j5kuZmnC632gquvG8yRmEbURxC3ASYiGyZ18gAgWLVP6ZzJUmlAaQ5IlpD5lVldk3T6Vraks1KWHoOl1u8yMI00ybG2o5iWq0cFHRGmeIFKUVgQrCD4h0V2chatXr7G9uc6XX/oj/MQLz3F6e8B3v/sab+USW89ItWBtrU+Wd6hLQ9HtIaQi62aAYD7ao99dI0kS+nk01I3+JoKjWYBkA6EkU+O5eWvI4QQG6xuMS5gYw5W960zGJfPaMJsbPBJPJB298AwGPXoba0idoBsT3Fwpcq0oy3kkEuYz8jSjyDoEIUFqtE7ZPBs43L/JdDzj+tfe5fe+/gOef/YMn//sWbQoGU1GJCpmhZgqmlfX8wqlBEaalglb9j8ajUppF8+yMkSbdxoza6cEQQmqOjAZz3ns/DZ2Pqeu5vHKXIFWKUXaQ4QMU0MtLB4PwaJyiUozgo4yNKWbU47nJHlClqRI76lqgQmSopOTd7pYWyNDiEbWwaF0glJRbq+sKlR3nSzPgUh86CRjsLkeZf1mU7wK5Gs5tbNUdd20XRr3hUjWthloSqV0+4rptERPZoTER6Pgek7CBnVdkxUZQcJsMqEsHb1uF6UVWZqRplGaSWvNpQsXOdjfx3vPpYuXKKsSAo1EEgyHI7yoKasJ21sXOBqPqOoJP3zbcPp8l8+++Cxv/fAVDodDLj3+KTbWDft7EzY3t7j85Kf5xte/zWxas793yMZgm+c+8yy1q9nb32N/74jXXnudc+cvYNwcZwNSah47f5EfvrMDwP7eATs3bjXR+Sn4FB8sxhi+9e3v8YXPfZ5TG1t8+rPPcfX6dVwtQEbpLN/49yglCMGhVASHfXDN+tojFfhgKYoO81kZR8MQsCaS6Et/iujvJKRu5pkmWw5PXVcQHGmicTaO5UkhEbbJEwzNiL2yoFIi7lc2o7lSklQpUinoZgWpEpEY6XbIpGY+nrB7cwedZzgFw9mMqzdvoqSmm/cwzpIkGT6BVKS8ffWH3LqxRzkrEVIz6A84nI7BhwicIxpPEY9CQ4jZl0miiRmULWy7JBZaImQ1m6Odg1dltpZja/tguwwoOObhcsf16fHo0vZ4q+Xk//GeNh4QYfkI1Z5Pm9kiiBP2qjRYew3GGHCeRCuKomA2mzGbzeh3e4wnY1555RXquiZNa7Isw1gbAzFCYDadMplMuHDhApPxmN3dXXZ2diAEXvqpL1MUBSF41tc3GhIiStXdunWL4XDE2XPnuHrlHa5dvUJRpBhTsbGxQZqkWAJapxQFTCbjRX1479Faxww052gjG7TWBGIWgjU2juG+AeatZTwZH8uiSZKEqioBT5qnrK9vkOddgq+oyhnOGoajAwKe06fOsL7WY+fWlE43ZfvUGWQjcxachyApuh3Onn+MNEsZj8bxOi7GbImYnRXnEJUk5FqTKI21BuNixo4HZrMpWmv6/T69wTpHR0M2sg7nHjvHaDzBu5hFYZvxPslylFYcHB5EX5W8oNvtMKsq1je3SIsOs3lJf22DNSmYTGccDkck2hLChMl0zMHRiJu3bjGdztg8tcXm5gaHRwcoGf2kpvMpvX43kr9Xr/CZT3+GNM0ZTSb84JVXybKEL3z+c+SdlP29fYajMXVVYs2M2awmTzvknR4ItWhzbVtu74dzjWRk+1lD+n/sNOA/KZ+U+yorQN+jauOrYOy9jnFfoO0jAqUfEvD8oU/iYYEndz2CWMF4HuJxPgxY04JfLNc4x/bb/qweZ/G3+XU3wuRBysm6aZ9/AtD6eBIe6X06WcTJa/xRHnmBlz+Mvnen67jLfh9yVs6DF7HSzu51H8KS9PEBggMjkFOFpiZoQV1oRJrgJJSJQ+YOKQIajxbRc1cFv8iAENAE0C6BYrF6vNWTaf5d0hX3sma/E/HSfm+VEDmJbnOMkrl9bw02F5qtVrpp/CQszuv2M7r9TO+vBdx7q7Dy+1GVsKipD9ZmPzCZsvjW3Y91crq9cxtYJbVaBDQsyZCGEFm+brHV5hgNtCpjJHpUEmmGxUWw7IkjxS/e41oXpxRWtmv6lOD2/1d3fKcMlJPvnzyHDzoH3uncH8Y+fpzl5Pn8mJ5zPhAx8iu/8iv8y3/5L3n11VcpioKf/umf5h/8g3/As88+u9imLEv+xt/4G/yLf/EvqKqKX/iFX+Af/+N/zJkzZxbbXLlyhV/8xV/kN3/zN+n1evyVv/JX+JVf+ZWFlvv9lkgHrBIYMcLWe0+WZuR5tgCwVCM8rpRqonTjcFjVdWPOHJhMp6A0UmnwGqFcNH5tjxYa4uXY4B87oAqrnVpEA3ZauZTGTyQ4hPAE4fHC4EOr3dhEQhCBOUEDOAlAQq+bE/wMY+uY5ZDFfYiwNCOXIoJtQUR5sdBQJEEEgoxeGtEsPRC8bWBuQZQJU41nQ3tNK+ut5hqVEHSKaCqKi+b18dokVVVHw/QGrA2NTnZkfZcm823x3pMkCUpHOSEpQ7OlR+sIEkVzWcXurQOSMAczR7iEunYY4fEiArWmNlgbpV1cY54btfklOtH40EiohRCNWEMgyzKKIqOTRTAsy3Ks9ahG01tJRZqkEbASkkRrkkQhhEVgKLoJWZgx3L9FZ32T7qDP4dEUtZZS24TJ1GNLz3B+ROkrJsMJ09GU4f4h3liUkMhmcStFlHMTKLI0p9fp8cQTT/Ls00/R73UYH+yxt3+EszVf/Nxn+PSnLmPqGUeH+2gtkVJTVw6hUuZ1hVZxot8600OrlNFoRDkLVJUhTXOCEDHLSGqUkuzuHVC6FNnpsTeuGU8mBCFxAdKsS2/rFBtpgXWBedWQE9agtWRe1kyHU3yYIaRkPp9TVzVFUZAnio21dXYOD7F2ilIpSI3UCWmWUnS26G9eopdI3OyAq7v7HH3lLb744gUunr9AqMdQ1+RZgTeWIivQqcaHGNHeWgshVZOhJDCtSQ8N4BxiW/TE95MkZzY3CKHp9AZUdYkUFik1Zl4zn5dsqQxQeA/eClwAgWQ+KbFCMqldlJWTGVYKpEwYzxxJiDJDQSaMZlOyNMXUlkTF/tWOG0LIxfg09SFK9YRAWZasr3Vx1nFz5yY+QFbkDdDaZDN5Q8AiG2+lEFpRMUVlYTqFTt7B1QZjAmtrA0SiODoaIZyjO+gxq+Z0uz1qM8E5y3w+o1NkCAIH+7ucOnWKeVkyWF+j1+3T7/XIOgWbm5v8hPgCp06fpt/r0R90eOaZy2Rpn/euvIfUHmRJ0hHMyhnGrTEvS95954CDwxmHhwZX7/KO2+PocE6v1+VTz3yGpy8/FTljb5iOxzgj6Pf7jdyYZn9/j+c+8wJFccCN6wcooTC1pVN0McYh0JRzA0pSFD2m0ymvv/Yq1cXH6OUFSRo9WJTQjT6/B+L9cN6BElH2KjSZPc7ErLiqZmutoC6rGInfGHhrrcmzFElAN1Hd7bPJQvaJmHXgnSVLE4oiw1qLrQ0eESXVhGzUDf0iy1CK0Oj6BrQQ5ImmmxUUScJat0uWpAw6HXCBw/09ptMJaaqZeof1jrmpqUzNeDQh0xkKTT03bPU3efONt3j3rSvkeRcpU9Is53A0xBpHt1dQz2YYa5BaLUgKGU8vyvg0k0EcW5uJaTE9hGOvVzMyFobqNJmSItbTqpxW9MBa3ddJuazl/pZm7ksS4+Q5tISM9w0J0xDyJ6VkF9kkPkQN2tUMFA+p0qxtr1MUHXZv3cLZmieffBLTkPH9fp+19UuMhmOORiOEgFlV8vhgwP6tW9R1yZmzZ+l0OnR7HapSNnOM5OzZM6ytDRiPx3gPnU6H0WiKMTU3b93kuc88x+WnLrN76waH+3vkacKg16XfH1DOK9IkQYg+wXvGE0dZVhhj6XQ6DNbW6PT6izqu5jOKouDU9inKssSVc65fv8GpU6dwjRm41rp5yI3+TUVRoJRAyMBsNmd4NGQ6GTKZ7LG52efUqbMMh0OOjo4QUrC1uRFlAVPdrFMMpvb0en0u5ANUkjIaTahrmEwMk3EkmVoCrZzPuXz5MnVVcfPmLmma0u/1SbIBWVGwphXOOybjMVmW0xukjCZzSrPHfFayf3BIp+iwfeosWZIxryRUAegRgmMycY0sVc7jjz/N/t4+N2/s0ul02dzapKws/f5ZZrOS06fPsbV9jiTN2dw8xbycs3d4wMbmgLWNKAGolWJ4MCTPC7Ik59T2GU6fPY0x0Xz9pS99Cecd58+doaxqQvBMJjMqY9EqRaD52u9/g/2DITLLcT4cIxgBnG2ytBZzR5wLQgiN788n5eNQPmrPTQ8OygjaQbQdbh/pY3UbTPaRLo+KwXiI+33QXS2+d5cdfMD78+HJ3BaQOkES3GXT933zTsTX4nE/gs7i5La3AdIrSOtJUOdhRtIijne69pG69VY9mT3yke83H74sY/0/+DffXyZvFVj/KBVxx5d33Czc3l+EC2AsqlSEsSDbB6EkDkkpM4wU0JOobkDKJsu+qatVQLrVT5EhEKXYl5RFS4K0oHGbpCfa6Pt7dNrV+ymOvbq/+7AkA9pX8fXiDMPxbnvvcjyj7WFiyO/nU/Lhyt1r+G7lg25/nFhq33n/79ztWC3FtcjSONbOY1C6xDfBgyt44urQ50BYkJaFy8LJRI3bOIxjZMbdLlKsMDpiudM7/n/iu/dbAYvvfMh28VEdth60/JjWgB9oRf3v//2/55d+6Zf40pe+hLWWv/23/zY///M/zyuvvNJI9cBf+2t/jX/9r/81v/qrv8ra2hq//Mu/zF/4C3+Br3zlK0AESv7cn/tznD17lt/93d/lxo0b/OW//JdJkoS///f//gc6eXHsdeObIWPkZJImZFkGgLUmRgTbELMttAIbyYooPxFAScajSWPoTWPIGrMphFALEPYYc9j+XXQ2scgWaZnG0ESuBxEQskFzFeDAt+iuoDGMDU0fc9FAWgrA0e3m+OAwpqK2FdZZlIoDRVicQ9szG4P3RU8V0R/CeZyPfKv3jkBzXo0XCoFjUQGSZZ8nRBCpU+RR2sjY5l56MpFgjaGuqkXdhea6AyGali6CWpZRqVkW5TYiMBZJEaEkUiiCENHo2Ctu3tpDhpxQTcFqvAtY6aIU2QpYJqVGJ4FOpxNJEa1Is4wkS0FIgrekSZStSZMIzreRw2kjN9WatIYQ0Eo3ptOeJEkxriag8V7i6hlHhztkRUZZG4RI2Nk7YmvtIvuHM4Y7B1TTQ2aTMd2N88wnJQqNLS2hDvgGjFIkzOYlxkfppv29Xf7EH/+jfONrX+fdd95ChICtK06f2uT0mfMYJ/jB628zm40YHh7Fc09zpEzQSY4Tsd3XtaWcz5nNK6raUjakSJZ3kCqh2xsQ8MzmU/b2J6h8jbmdknW7yLxPXnTZOnWa2gQODofc2jlgOisZjcaoRDCfTQHHdFKS6gIhNEi5yASajEsSBVmSMpmV1FWJ9zCvaqROsQiC1OAFvTRlI0947FSPU6ce4w+++zajqeO5p0+j5YjgDCKR0RMIEX2D2oUWEiGb+HopSRoZo7b7iRCzJto03CRNmc0hS7skSYatpySpAgK608EYy+7ePp08IUk3SVIQQWOdYVpXWJXgRWBazyFIfJoxmgiEk3TwBO2Y1zXgF2bSzkUhIovHG0clJVVVkqYJs8YDCASj0RgtA9ubG2RZlJEbjYb0sj61qQjeNMsdv1zqBRaAWZammJBQlSUhTNBFj/3dW+AMWkiUkEyuXKO3NuDNH15ha+s05y88TtHJOXP+PH/lf/u/QQjY2t6m3x8wWFsny1LyIkeIKEmXZ8liwdLqzjor2NrepjITVCbxQXBt55C08xxKJRRpSmmG7Fx/i5dffpmv/M5/YDQasr6Ro7Tl2Wc+jTUl3/3ud1hfW2dz/SxKxcyXtc11Ll++zI0bu7z8ne+RZ4peUZAlBfv7h8zLktJ70iwlURnVfML21gZlOeLwQHPqqSc5c3qNa9cPohG3pMl+iOC/TlQEz4VAqAgMY2O78i5G/TtrEETvo9CwxVpFCb8k0fGOeL/wGQkhelxkWYozAmuiqXuWaKzzWBcaAj80tHn0FNFKIYJDK4EWkkxrennBWrdHN8vpdTokSlHNK4aHR4xGw5jpRiDtFUxtTd7r8t61G/z+177Ome1T9Ls90jRjf1zy6ndf5WD3kDQvSBPNZDzjaDimtzZYyDBlaUbt4tiudYJzNmZTOkdwjXSWErTE/bGZUByXt6LZRjbjAnAsewQazxexlAlq668lTo7N9UIgpVpkiMX3JG36vA/LjD9CwAduyzRZPbc2Q6QForWK83308fAkSnPu/HmElNzauYn3nqLocPHCRQ6PDnn33XfpdDoorcg7GWIc73uaJuzs3IgRejUMh0Mev3SRuq4YHh3R7RQNSD5mbW3A9qltZtMZWZqyu7vPe++9y/raAGcNwVnOnz9Dv9+lU6RYWzfzkW4IK4eQEmujhJcQkl6vT6/Xj3Nrc51KxmwUpSQXLlzg4GCf73znO3z2+eepqxprfXOfYnBAlmcxY8N4tk9tMBlNePl732c0HtLrZJw7cxERMp64dA7vTZSltBVZnpFnKcPhkI31U1SlYT4tmU3jumVWlkgp+e63v4PWmsFgQF3XGGOwxpClR/R6fXb3S7qduNaSSjEaz9ndvUWQsa9snz7FbDajqiqkrKnKGuM000nFvDpECY2xjnlZoVSUrCQEjo4CIUhe+cFVtEpZX7+IB3ZuVehEUdcp1glu3RrjrAM54erVA5xzlHXJ/v4ROtE4a1BKkumUujKcPXOWs+ceYz6fUJYVhY9jg/OOej4nyzISpdjcWEcITZZ26A/Wee/KNW7cvEUn72BxtIBbaCRHI67gm2ezBqhr/XPuIEn3Sflolo/ac9MDlwVAy+2IwyM75seBHHlEZRFJ+rAIhQfZV/sQeJf7IFoA9MOd4f2eCsAx6aMW3QontlklLBbvrJIYzYuT2SAnXx8jRFZe3zm19S7n/GEQ1dVrW2kPi2gclmBaCLDqd/cfQb856YVyX+TbAoDkLuPYCnHyfvcuLH7d5UDvv4sHK8t939EPZhXwpW0KAYJHWA+VQU0hVRIZJBWSUqaUJCgTsSVUIGgRcSEZZawTHDEAd3XfcR0ujh3yuBRWW593lqY6fl13dvC4H8B4Aa/f4T9YZoZ8kH6xcj5hpdl8gD3c+Tzv7VPy4cuj3PfyCCf5gA9eViXNoI1ki2veVrVmmS2yeK/9dhBR3ceJBTEiHAjPInh2wYEeG8bFcYWCOxEb7d8IIK2QIxyv3jtefHuwk+PL3d5fPe4D3Ltj4544cX4f83ngQTNqPkT5QMTIv/23//bY///0n/5TTp8+zTe+8Q1+7ud+juFwyH/73/63/PN//s/5k3/yTwLwT/7JP+HTn/40v/d7v8dLL73Ev/t3/45XXnmFX/u1X+PMmTN8/vOf5+/9vb/H3/ybf5O/83f+DmmafoAzigDLIgJ1Qe0G0jRtMkZYANEOjxSykZDwDWAOBIFUmvFkCs43oEortREzPyJbIFsGo+l5QFRTuX0SEjFTZEEItNZTUkayRelFg21BJukbOZGGAo2yI440T0GKKBXV/GgdB5NFn10M+vF8PX4hJ+LwWGNxCFAqRoliF9veaUHXRtjGSTcCJ0WnIE1T5mZONIN1cdxwLuqdN9Il+HgvxGLRHJqMlWYQDIE0ScjzHESUBnI+glNCSJz3lHVFIAcRWFsfoENBqARaK5z06EQusn+kVmipog9AkqISHQGhJCFtdM7rukTJKCHWmv1qrUlUBMbjPffgfGwPOhonO1Pj7JgkSzHGRvNsYbn23rsMh0fM5ToCRb+3QVGsMRyO6WLABZ584gnWTl1k++U9OrslrnTU02joPp9OyNKCWe3ZOzhkMpkym84J1rOx3uHs2WdZ6w3o93r0uhk4g/GG2tQElbJ99jGm0xnOgQuSw4MxXgaEDEwnU5yH0XjCaDRlY/M0s6pivjvGB0FtruB8NBY3NrC2nXDu0mXGszmbW2fY2j7NK6+9xts/fI/pdE6Wd0h0igDyJMdoQ5YqUlXgawEi+sPoTOO8QWmFtxXT8ZjnPvUU3/n2tyjygiTJCFJSeYUVOQRJaSyHc8/OK9c4GtZ84fnneePKu8yrm3z+M2fBHNDJM6RxuOBwuKZtweJhrcmQ8m1ESmP01rBccR6TUS7NWUmadiPQrQSIaDKnck2WRxIky3PSVBMUWCvpnzrHWn6e4c518lzTlQlB5hyanO1zT9BNNTfefBmRVnRlj3J+RJ7luADWzHEuZgnEjDWN1pp5XSLSHoQIGHc6XYwxzGdTekVCJ8+wZYX3DkL0vhAiejtIGcH74KNEoJQJWkVTblvOUdoggsOaGuEdPgiSJGdSVjzzwhO88BNf4vLlp+hkOd1uQW+wAQiMqSmrmnk5Z+dgSFVV1NZjaoP3FmMjEBu8x9UGfODs6fPMygmlPeCLP/VFdvZm/Ltf/y6TWYyKDsFy9swaF89d4M//pz9Jkazx9a//Po4xRUfirOfr3/gGiQ4M1tYoOgXJKGZonNo6zSuvvEzwgi//5E/ivedg/wARJJPDPVQ3IStyur0eZVVSG5CU9HIBfsrmepdnn3uSuq45PJpgaoeSCusigJ5nGd47amOiD4a1KBH9MrI0yt/pBkCPY5nEuWb8wMWMNBowXxDBzAbsV0Ki0xQRLHhHItvcHiIR02YfSomSkkxJEqVJtSLTCXmS0u90GXR7dNKM4DyHB0eMjkb44GImk4jycH/i5/80g+1Nvvn1r6MRVGXNjWs32UGQKM1kOmc+Kxn01tFZxrQsKasj8qLDcDwiSRI6nQ6T6RQvAlmeIxB4T5Qysi4alEsZAX8R56jWWyTWx3LeCCHgnFuYr8Myc2SxGF2Zc4I/7tO1KsnV7DUS+CzXePHvipk7LckILUkT5yJ7z4wWiHJhWsWlUG1rNPDMp57FVBXvvvND1jfWSZKErY1Nzp49z2uvv0ae5yRJwnB4xKXHL6ETFUHxbo93fvgO3aIgSXLOnj2DEPDE45eoyjmj4ZD19TV6vR5FUQCRkN84tcmf/ON/jCtX3+XGjWuMpyOeePIiP/8L/wu++tWvcv36dbq9LhDvg3NRfhKiNKUxJl5HkiKUwoUQya4swwcYjkZ47+gUHdIkZV6WJEnKwd4h5XzeZKCAbKTlQoj1srW1zWQyZm/3gDRL6RabHOzNcW7K3q0pQkK8xQHEGAgE7zk8qKlKy/BoQvAS52E+r0AItFpHSc14HAghRYgMqQLvXjlCyhFJ0uHKe0dcvzFBaUU5L5nPS5I0GttfvzldkG513RB5SYp3npu7t0hVAlLhbFi0RyEkO3ZKmibM52XMiJKxnpTSGGPQWqOVwJq6uX5NbR1pluGDZTKpyIsM8HjvSHWKQNDt1Pgww5oqriWci9KRzlNXFWmaMp2OKYJvpP8EWiaU09mCHPSNx1BoSD3Vhqk07TtmlIh2sfcJMfIxKh+95yZxh38/wMP4AlhcVYV/hOWjTo58OGToPvb/Y7z++7q2R10BdzjcamkRr2PrihPg0GobP0l63PH1nfZx4vt3PK+H3RtWzmFlfXO8NCCbiPjCcXLkIZ/OR7ycDIa5+4bN37siu/d5H0XgrlHej6Q93Gc5BowKFgRQjOQCYxElaCljgJbUeKHBKuo6YxigRmGLZv2uBVmwoGIGiWjwKd/gTnLRNNuD3JmmuGuDPDaRPOzx5PZjr972O2HdJ7+/wBZbbFx82Dv7Y2oXD7l8WFKk3cfqHTi5v/bdVkZrUXMLUkSCE+DEghQRrsVRV/bSNNTgxXGC7m6Ex+JGt8oDopHluvNV35lKPbHt4pg/wjnzo75+ut/yI6yyD+UxMhwOAdjc3ATgG9/4BsYY/tSf+lOLbZ577jkuXbrEV7/6VV566SW++tWv8sILLxxLEf+FX/gFfvEXf5Hvf//7fOELX7jtOFVVUVXV4v/RaAREsFM0ElIxgKIBXUIg0ZpOUaC1opxVTTCFxTsHjWyBFBLrHGVV0c0SJvMSiDJDwUdmXEjVgObxeJEYaZiQiJWBaybjYz0jEizOKagDiVCERipB6AwZEpyLD+jBB5z1hOCivrwQ4DzGOexkRtFfxyOxQVGawKz21KaKWR2NEWuwNVpqrA0YF/BCEqRgOpkSBExnJUEoZDIl7/bpbUSzcudqZJIvAn/ig3r8p2VapYiSQmmaopTCu0i6SCKwZ2pLXdZoqXC+MTQPHqV0A2A0YJeIgBlNRkaeZxBi5okQnkTrGPkrAtYZhMzodgsuXjxPrhy+imCcF/EYbVV7GtEyIUiUQrayIFKikxCJF+ebKOFm4g4CJPgGX4jSZxCUiKl5TT2oRCC9QQiPIOqhKxHAOzSwvbFBkd1E9/psbW1xaiNjO++RscHpx8+hi02efOIxXn5rB5ynnJRY78h0FxEkN65eYVrO8d6Ci1HCzz77FFIkzGdznLfMZo5yPkMpj3eGqppzeHDAeDRBqoRzZx5jNJ4ym084ODpgXpZMZ3PK0vCpT32a9c1tXnvjLeaVReuc8WhKCJAVBZ3uGtunzyKkJs1ynn7mU/w/f/V/ZF4bytLSaTTQZQPsemdZ63UZT47oZF1mdUkIsY14W0c/K+cQeA4O9viZn/4Cwyce4/XX36K/NmBWzRCygGAQMkGnKcZ4dG+Tq0eW0dff4o/99Kd568arzKof8viZlM2uYL2bU9UlKhOgYkSuCJLgYhaJ8Z4gBQ4HwS8jDFRsJQFQMsN5S5p18CFQdHLqckiaZghTEzDU9ZQ0U1hvIAESReWhyDogFUrFmVckXZLuY1x8/o9y9swWztXMrn8nEkNA6z+htcYJkCqJ2QlKoZpspwjORdkm7zusrw+YTyec2zrH9fGIIg1oJXCmjtkv3kWy1FtU42UghUR4h63m6KJLN0swwZFICInCObB14Gg847/8K3+ZT33m06RFzpWdQ472h8znFcY4ptM54/EYay3zqqKqK4IH5wOmrpu+lKC0wtkYCS0JfOHFLzCZHPD4M1t8UXa4uXfA9R2DSjdxLjAZTTk8vMUPXnmLFz69x8/97H/CeDjlves/YLCW8tXf/SqDtYJBN+Ps6dOMhyXWWNIk5Vvf/Cab2xv85E98idHRIf/+N3+D7a1Nbl6/ymNn1nj80iVCiGB2aSrGkzHWOda6XTY2NlChot9RPP74aaT0HByOscZFEN01Y3vTz521DZkWB/VER1JHJ+lClgkEPtg4zgUfMwvSlOA8WqtIHDTjkFKS4A2ZyvAmyoSlaUqn6GFdHO8TpZBNhkiqJUWa0O90GHR6JErR63RJlGY8HLK3t4cQgjqaBUGaYryjOxjw5NNPYYLj85//PLlOmY0n3LhyjZ0bt9gbHyBlQggSpTXOB27e3GE4GZEWGZ2ig3WWuq5xPhpaa5VSW0NVRRmxVpoqNGRIO4567xZzhfc+mmu1HlULEi8a17fRHrIFdMWSBInyZmGxn1UDd7GIkl8+8PrVB//2mysSRDT/t5k8SqnbyJqWIFlbW8M3Eoyz0QipNS+88CL7B4fs7eyQFQVaJ6RpxunTp3nrrbc4deoUnU6H2WxGnudorRmPR5w9e5YXP/cFrKlQUrG1uclGQ6pkWYoScOHCeYoiQ4iANTWdTsGrP/gBa2ubnDlzmieevMTzLzzHdDrm9Tdf40tf/AJ/+X/9X/H/+Gf/LBKt1sXxQ0qsMQs5Sa2TBXHpfUBpidIJ1kXPLecDVVkjhaQs54trLusqzkcyQ7R1FgJ5HmX8ppMZFy88TlHkkQxICrxLolfbvI5rFiViMi1x3s/SHFNJyjlMRm5BXDmvkCohy3Kci2uPEEBrFe+pIMpeIlFpjxDAOlCJpp8OIiFHlKlTWsV5R7tIEgtJkkiEimS4B3S69KIRUqJUJPDSotu0C43zjU+TSuLawvuYZUrMUErzCAxYV1N0MvIiwzuDayT3hNA4BwJF8II0S0nTjCxJUU02anCeRCWkUiGFQsu4LprPZgQP3odF1lbbNr2U8f8VP51Vb6NPpLQ+vuXH/dwUy4dFdn7ED9r30jH5MA/9HxY0OIaS3SUK9GGUO2Dhf6iLWK4Z3mfDFVXPliA5TmAIVt/jzm3pvrM97tVpHjHYea+2uvhMgGgxCvjD31BuLwtJ1NU336/eHhh0a0kHcdvb9/z/buVe53DbPu+XvDnx5cZvRNTxuV0ESAkIJ9CloLIJYxRjEtwgBgX7XOB1DKLVwqJFiFklbcY2jeJIiyGtAti3TTX3V9ktbP7BhaHeb5+wdDsRi9/3TY6wvOV/OOiNH19ZtpOmfhfj/sntVreP7Ww1WyRYEQ2ePQgfWOHnljsIEBqVgbCCb95xDDhGkLRfXvLPx89xhXi87/XEQx6X3++4d6nXR3Iutx/8Prf76MxVD0yMeO/5q3/1r/IzP/MzPP/88wDcvHmTNE1ZX18/tu2ZM2e4efPmYpvVxX37efvZncqv/Mqv8Hf/7t+97f1FZ2kGfiEFwscMEq00RRG1oKVqzXYF3lloogWF0pi6pjaOQIaxhtFwSi9XWNv0ExujcxGgfPQC8T5G0LaR6jEq3UdfDhFiFglNlgQJQaSktaE1HpfKNlIVjVSJtZiywnmHFiKCntZQGoNJS8YzjdAdpnPHcFwzGe6hGCIR8cEeCS4ghcbUDucClfdInTKelXgURbdPVVbs7l/l8jOXOf94inSeREpqa2JE+4IcieSMa0T6hIwa1xEg0o10lSA4h7UWqYlmrW3Gi2ynM7fCCftmMIuAlNaaPC9oEzBbo1HjHEJAVVe4kIN05J2EVMQMFSUDQUisj74i0ay4YYFpmGAXGkJWQaqQSBKt8IgFCCcbELOVXGkMUWJkchPJjVQIqRB1BKWliN1FAefOnEGfOUu2/QRf/e4ON8clWZ7Q7aWcOd3FTneYHLxHd92zsdkhSUCGSCad3j7D4f4B3/zWd7Aeuv0e49mMcjolzzIOdnepasNoPOHmjRvkWUqep/EavCXKlMFga5PZpGI4npAkKRkdsmrOe9du0F9b42d/6meYV4bf/p3fZVYapE4IQWOtZ2tzm/m85tITp+kP1tgfjvnpn3mJ/9+v/Rbj8QShU5IkjcbnxkXiwxlMVXPx3CUOD3YwSKQKDThtUUkKTRvXOkbM/v7XvslLX/4y3/3eD3BHI/praxgLmZRYbwnBo5IsyrxJyV4553e//To/9bkneePqtxkeHSHqW3S0pVMoeoOCLE1Z6w/opEX0LgHybgepFJIkRvDjFuQZwcdjIZmXnl5/gPcBE1wEFGuLShV5oalmBo+jtjXJWsZoYkmlBJGSpCmp9iQCZt6R9E8T8m2GPuXxn/wSr/yb71CIjMlsjBYCK0AgESK2aSkicataRT4RIpCWp2itUEqQasX5s2eZHOxycOsqMgSUjKBw1Mh3OGsRaUKiI1lVVRVJkkaZOC0w3hC8wTuL857RrOJ/93/4Zb78cz/HP/hv/hFOBGztSWSBVhlKKarKMJ/PFtHLHpCNH4r3HqU1QlRY5/DOk6eaRAl+92vfRkrHk89eJATBZBqYV5JMSow3ZL0u1XyEcIFvf/tVhDP8+f/0L/JP/rv/O1feeZOXvvwSiJpvfeP3+fSnP02v26Oc3+LM6U2eunyJtIjXtbezgw6WC6c3cfMRzlqeffoxRqMRta3Q2Sb7BylSKdb6a2QNQZCnks8+/xTdQcYrL7/JwcGETGaRQK5rpFRR0lB48iyNWRIuRCk/68jzjPmsxHtHluXNGNFEmzuHd440SQkhMCtLiqILUqCEIM00o6MDbFly6dIFOp2C4TCek7OBRCUoIch1Sq9TsN7rIUNg0O2hlGIymXDr6BaT0bSpf4EFhFToRDObTkgB6yIBkSjNdDZlOpmxt3dAWVbknS5KabyU7B3ss3t4wGQ2xQMq1eSdgqOjI5ypG9+nBOvswlelBcpbEk+p6KWz8HJaAR98CI08ZFsC3rcL3rhuax8uQkOgnPQGWTVGj3N7nB+8v33RJEQjLteS5O0DcbPPuJ8IMEsp0TpmBrQG40mSLAiT2WjEhccf57lPf5rXX3+dK1feRUnJRr/Pwd4e65ubZFnG22+/zYsvvsDv/f5XuXDhAr1+n29961toLTlz5jTTyZhBP0pZnT59mosXLnB0dNj0e8nZM2fodDukSYL3DqUUV69e5caNHX7wg5f5/E98njy/SF7kfObTz/E//8//Lz77wgucf+wxhFDs7x/hg2c6L5sAUYkxhro2JEmyNFp3brHeEEKQZtki62c2n3Pp0uMkSfSgaqIh4hizkuFjracsKzqd7qKuBAopEiJ5mCNkmwHkmrnRI0SCFAlaKpSuCUFifeu11giAStFkmrSruDgvKyXxyJi54uL6SsqmDYSY3RdJmIbcii5tSCRBaITwDdkRH1wX7Suy94s1CiLKmyJjRjFCREnVts5CzJhqSWzfPogF4qNZIGZ+CYhycJI0zeLc3IwRZVmSZxmJDgvQKrhAkA5bO6bTWUNQxawXpdTinjnvI/F94mEnZpSE28jBT8rHo3wUnpuAh4bofCSAoQ9NbtwvCH+37zd/VyOzH3q5A/D6INf8IADwA4PGD1YW2ZwN6XSbj8QdCY+TxMdJ1PJ9iBHu8v4dyZF77ONRlxWQ7th7LSLdwrurmSN/GKKFH6Cs3qF7ejo8FHLkPk7k/dpM4O7jR9sOTw4Dd92nOFkBt1+f8wjjEBhUs3/pBV4KHApnBPMtz74TVD3NoJjjMkkmBal0JEI0z7SNV27jFdgGSspG9vm2y1wBn9vTaoezh9mtTlbjqvV7mwEQ3w+3Vc+dT6Ml3No15cr2YnWLj1dpp76TXMKjPOLqvbhTv2utEdq20RqxLwmSlSnbi8XPghAJy/0sd9ICnO1OVtYNi4Z3gk1Z9Mfld0M4cZ+beaptxGGRWXLyZB9xeV9y5B4fPIo54gN35kd0Hqv7v8/ywMTIL/3SL/Hyyy/zO7/zOw+6i/suf+tv/S3++l//64v/R6MRFy9eJDZUvxiuhIwdwxiL1ilFXjRgjlxkQjjnmsjA+CA6Nw5jo0mzsZ533r3CuVMDpuNhBM1cNOtFpEiVRLjfu0YaJJIw3rto8Owbo+djxIgmoEjSGIFZrUTgVlVJsNHdNjhDcK0UVZys5tbgsh5lWEOpgtk8MC8F48MRWoxQDXAZAqRJhnB1Q+BLhtM5Mg8knXW2Ns/y1LOfRUjBtffepixHONcAB3gSmcSoRxHpDCEiudGSJO0cm2UZRafAh4Mmg0YuzIzLeUVrtK5kY54ePAqJW1m7ChEBkTRN6HS6tB4JIUSA11mLD4HaRlkK52tCEvDWonS8v76RuxKexoel1SeE4BriKgSEDmgXwdJEpZRlSWjum1DR/FgGUFJB8BGs88tFtWgIF0jAelAFIUjAsrWxRaIkh+UMLRyTyQGTyT4bz25AOELKOdZNCcqQpIBwjMZHJKnGO8ev/8ZvMK8c26fO8Mab73Dj+jU2Bn3GoyGj8QhrLXmes7G+xnQ6ZTQaIWSstyLPqKqS6zduMOhvsHd4gHeB9fU1iqLLSy/9NEW3w2uvvcnu/iFFr4dKHVXtMCZw9tw5pNTI2nH+/AW0Upw/d5aD/SNef/118qLHrDL017rMyzJmySiFImCqKVrA05ef4MbNm/TWe+ztHyIyjfEW72jIlJosybhy9Ranzlzn8tOf4QevvYZIHHlaEGqDEhITAkFYgpLMrKHT0Vzd32P9SocXn/4pXv3Gb/DMpQvorOTg6Ba3do+oZnOcceRZTqfokWUZm5ubpHlG0Svo97sxkrvxgkDU5B2FdRlKQpYVCFHiTJOdZEFqj0oCMpEkWUJVO8p5HeW3TIU9GqJDgOBQiUQiGdaC7791g0yWFPNXcd4giL4midIN2RZQovH9kQIlG8N07xFN1pXWijRNkULQ6RSkSqFlk6llLXUdvZBiIpkjoLA+9gkpBEJorDWkUpFl0Xg4TRJUkrCzv89f+i/+S/78f/af8K0fXMOgyTsdjJszrz3l6IgkTanr6GGkGkkhpTR1XWKtJUkScpXgnac2lkRrTAhY60lFyqDTJ037CEBJCcIjkwr8BChBzlBYcq24fvUa9oWn+Ut/8T/n93/v13F2TtHJ+NN/+k8xm825tbOPCNGf5sb1q/TXuuxUFmvmXLpwFu8qNta6bG9vIXFYOyXPU2yoOHN2g+l0xnw+JOn26HRTbPDcuvUu3U7G009f5J13brJ3a0SW5PS6WeOPYKmqJrNAKLTK4phkHbNyRrfbW0R0a50AoNOEuq6b6PwEISVFk1mVJBn7e3uY2YgvfO5F/ur/6f9IojX/6B/9N2SNdxFS0MkL8jSlSDLyNKXf7aEQKCEZjUbc2tvDGIPQmqAUlbUEpUBrnJCgU3r9ARIwdYmpa9678h5vvfEW+zv7rK9tst3tE4RgUs65ubfLtJzR6XXJipzKVpRlvMeoGDVPA/oaY6iMwTYkWRASmswNQVwvttJVCxLDNytGuSQo2kC6mFG5hDjCCrgrmyyH9vWqRNedympE4ML6r8loCyE0YzwL0kSo2P+kkHQ6ncWx26yJtbU1/uyf/bMkScK/+Tf/hsNbuyTdLlIIptMpKkmih4eKvlW//dv/gUuXLtLr93n7h2/FQIFEM53GttjvdijLEm9r3nrjNb7wEz/BoN9nrdvFe0+qNWmaYq3hrTffIM8zlE6Yzqa8/PLL7O/vsb29wdPPPM2XvvRlvvvyy5RVxZmz55nOpqRZlLRsMz/qylDXNesbGxRFF6k0QkXJO09Apxn9gWTQ79Pr9ej3Bxhr0WnGwcFRJBdWyC9CwNsY9NDv9pu5uY7ZQghsqBE+ElgyyCYj1DVzsQcsztJkqlgiXRKwIa6RJAKEjL6xzT32wi+CTGjvnmgkUJt1iG9kASO/0UraQfto67xtZEKbd1siLrAImvCNp1lLqoWGzGvXIXHzmFXWRLo0D1cWsPggCMEQgm0IEAgyxExFAt4FTO0INratlniLJKFH4HHOo33MYO10Oo28qo0yoc6hlIheQ1It7stClnSxjvqPE+z6uJePxnPTH8LyYcmRh3IO3BmA/EiVOwFAP6Iji/eXOboN6BVx7A7LDe7899h7q++vfs7t37n3ydzX+w/CM32ocjdSZBmu38gonJTV+sg2ykde7sQnndiCY6DpIzmB99uGJbl6pw/v59zE4tex4x5LKII2SglsDOSQgAgC6SCQIK2kLhWVyZmKhKlPsEEhZJTV8sEQpEVLj2qCoUIj+ylEu45rvEeOgcQr59aOlSwluQhhwVMvV/mrf+9ejl1fcz9P5CM07y4eSlYw7VXz+LDy+i7HusMbi2H/9iHsI1viGnj5+sPvDe55xYvmvXK020iR9u/ST+Tkz/K7Iv40pEj7c/KATbzzsfk5tH2lOZ/VdnPy5fGzWx1v77TNXb5zW0Xc4eIftKwydCfr937KQ18/PWirf78KfdDF1Qc7nwciRn75l3+Zf/Wv/hW//du/zYULFxbvnz17lrquOTo6Ohb9tLOzw9mzZxfbfO1rXzu2v52dncVndypZli2M1FfLUis8Rq3LprGHEJAaOt0OUrWa59GNxzXSGs6aBpCJUhNBKoyHK1dvMp0cMR8Pm6qUCJFgXYKg0fn3nkBrErvUTm/PoyUAom591IyWWqO1wvh4Di0ZIEJAxrBFNPGhP3iHkh6LwxqLyCTWC2rrUSqhP1gnkboxjI0RvJ28wBuPkhLvHBeKPhQ9rtwcMTEJP3j9Bs99+lle/Ik/ys7NHzKtJuhU4oJHhEav3DeNTi712lvwyYcIeKdpRlVVGGNIVArBY0xgNpuhtW70uWNdt3ryYpGloY5ljXQ63Rh5beO21hq8sc187QgyUNY1NgSkt2iZNIbWrXRWnNCkWI56ITRAW4hGq8EGggwgJKlQuDZqX7SEiogLSOcRUixMvkGADdF0WOfxfMgJArSy4AP1fMjaxnmUiG2qN+ggs0jEZElBoTp4nbK+dYrKGJ5/8QXKquT//a//J27t7GKD4M133uHgaMRsNsHXhjzJ2Npao9MtODw44vvff4UsS7n81FPs3LhJp8gpOhmEwOXLl6lrR2otg/46AcHh3gjrBH/wrW8jpObixSeoXawzneSY2nPhwiW++c1v88wzn2JtbZ2D0ZinnniKr/zu7zIYrLN7dES3O4iZIjoh+ICxjizVSCO5fuMa//l/8Rf59V//dY4mE9DRF8YFgQ2QaQVeYzwU/XW+873v87kXP0+aX6e2guAN3SQBKVFKM3eWoARJ4jG2pNvv852XX+fMxhYbZ57lvZ13+V/+mZ9how+HN69RTccMDw6ZTiaMR2Om0wkHBwfYBpwTKpqRF3lBkaekmULlAiF6bG0+yXg6Q9czBoWOnjTCYSxIJanqOePpHLvRJ007dFXFfDbEOBmVtaTCVAaXBCazOf+f3/1XFKrk8xccn93MMUdDlFQEZ/HGQWOqKxozIrEYM3xDqlq8i95HWZKiEBwdHfHWWz9kc1AQfS0ghCif412NEDqmhDYR8UJIXEgQaZTt8gSCFBweDfnJn3qJP/ULf4Z3r41IOz0mVc3+aEo5Lyl0hwBoKbDBYLyNkKAQeOFxWIL02GCYVZZgAy5YhMjwQpKnGWmSs7e3HwkDHzCVRfgSUx9S2QMm45v0kh7BerSEmdeMDg/5Iz/9Ba6+9zrvXnmdt958k4uPn2V9bZ1T26c4OiiZzabc2LkGbAMCW80pcoWSgXPnzjAZj5hMEs6cOUttDfvDQ8aHRzSDMTv7O/Q7PYSSbG71OTycsrm5Rrezzs3NQ66+d5MrV96L4HgzHidJ2kSCJ2iVEmyI/gKEJsMtx9ooO+UddDt9tNbU1lBWVSOZVJClBS9+5nn+q//VX+Jn/siX+NX/4V/w3//3/5S6LBkMBqRJjhSKXrdLkWQkWkfD9SQhWM9oPGZ3f4+yKsnyAmMsxtScf+wxpuWceUNmJGnKM08/zWQ4YjYdc/3GTb7/vZep5jVrm5sgNaP5jFu7u1y5dpX5bErR75LmGUKKmD0RU5nQaYJUCusdxjnmdUVt6oacEAsJrXbNtUpmLOSK2nFY3J78LqXEO9vMj7cvUtoskTZqftVzpN33MZB4gYGIxWe++XwBmjfI9SLTytml6br3eCnpFQWPP/44r7zyyv+fvf+MtSzNz3ux3xtW2PnEqlM5dZientAzwxnNDEdMw3QpiuQl77X9RQGmbZigCRj64A+CDAMCBBgCLvThmhJwcQEBgi1btnQFiWNdSQwecSiSM5ye0N3T07mquuLJYae11pv84V07nFOhq6qre7qpfoFzzj5rr73SfuPz/P/Pw8svvIgNnma7TVEUNJpNTGVQQjAeDFhfX2dhcYHVlRU2tzZ55ZVXcN7WZI5mNBox7A9YWlpifX2djY0NvvLjP85v/Pqv88/+2T/DVhXb29ucOnWKEAKNVosrl99if28PG+LYpZMo55RlOft7A9bWjvPX/tqv8Ad/8EcY45E6wXmoqhJrPaNhQVEUJEmU+5JKYp2NBuQmkn5KSKqqQtXzklarRVFVVJWhKAp0nY2kp1kh8fl2Op36WsG7OM4G4XDe1ZJok596vAzU2XqSEGJWrHWGIKIUnQsTqVNJqIMXpvUm0lj19zovA3J01eRicIJwdSAGiNoXaJIpyGReGMT045N6IqaoEfX1xgCWyKJIDjs2ithX1wsYIQMhWHxw9fsxG0drifMWY0oaWU7ezJABkkSR5ylTP7NER/lIleKBqqrquWn0dlJS4X2Uews1qXIo42WuWGvvaEMflQ92+aCsm/7Slsm48n5lUtzrGuZDSt9LLPpuYOuD3Ps8ePowz+oxgCf3jnC/y7nmXov57XPj/9xEYPb/FD27H0D3EEDJffZ9lKcxA30ftRyprIcyRpirf2Im/X2UsPsvkSSp69Fdybl3qi/vV3nA67iTQLwbGi9m74XosxbLkft3DmEFojQIIJGRNBGu9rDzCaaEfhlwTtDJSzpZQSupSDGkwqFF9GQNIiCDn+LNMkzipGa1fmJnHuWM6rZ9hAy68wncv4Oe4sKBafD+PQHp+hNHbL/vsv1ebfXOLYey2o42zbt+4oNV6pn4I39+Ribd+6lNz3DkrTAF8if1tX4dJl15mNYRISYZ6rPDHMoSOfJ1TwkRMV8XZh8+RJ1N1ieHLnDuc3NjzHQdGsIdu8XjHpGAOzo3OTp+vesSjvBSd33I9y8/qizIQ9cw/TUrR7NveMh5yCPc10MRIyEEfud3fod//a//NV//+te5cOHCofc/97nPkSQJf/iHf8hv/MZvAPDqq6/y9ttv86UvfQmAL33pS/yDf/AP2NjY4NixYwD8/u//Pt1ul49//OMPdfGz+dGsEkqoI07r6Os0BQLe2bjwDAElJca7uKAWisrYyHZ7QVEa+oMYMSmCRKsaZPeTxTUIqSPQKQKgoiTDjIdGyKhRP5EdCZJaoz+N0b+Anshe+IAzFldVSB9IlERJUNIRJBQqRzZPcvX6qzhfIhWcvXCONBmhxUzaJFEaW1RkSUJlLFZlXF7fY3t/RNApaR64cn2PRqvL4uopvN9n72CLVCdYH7X6PDPj2wn7PrspkFqhEo0LHhs8OIsoY4T8/v4BUyPcEE2hkVE/O0BNFM3MYiEu3BCCyllUiPJaWkgIjnFREbygqmLUvqr9DoT3BBHBi8n3PyGivI+gsJYSLSSOWufeOVAxc0hGBwioje2DB2EjYB07zBroCRB8zCbQMsMLgZd5jNJHYMoxohyRdHO6nYziyhAhJDubO7QWPcY42surFKaJyBL+D//H/xOqvcy//J/+Ff3RdpQnSnPyVsLTp55kNByhvKShM1579WWON1f5ia/8JM9/53k2NjfZ3d2l2+2yuNTj+PFVBgd9bt++zdqxE2S9Hkmas7m1S39Q8tobbxOEYHF5kaBSnIkyWsZ5glRcv7XO/mDA6bPnUWlKljcZjyuu37jNYDSi3e6StzpUNsRMIimorEHIQJKm7O4f4H3g2NoJXv7GN2h1ewwHYxLdREow1sco+hqcdCGwsbXF8ePHuHbtOkmzQRAqSkKJgJYhZiKk0WNmPBjTyDp88y9e5Nf/+s/y+ssjvv7nr/LLP/cZVtcWyGQDJY5RFRWjwYBEa4bFCOMso2LMcDikKCJ558yA4dgx2q+wro33PQ4GG4xGt8mVp5FlqKBR3UWKyoLQjEYV+wclW4lDZyVSpUjZwLlACFF+L2k0CC5w+9Z1zqw1aSQNbFEifMBVFd7aOoPEIYICGU2svbdIMYnQiXU11RolRTS4F4pxUZJkDYwLIBNcCBTGI5TAhpgNEj0u4uCspEQkGTZodN5idNCnKRSnzp3n137911FJxlJ3kW/8x69z/cYtWp0OjayB8BLnDNaUeFdBsHU0tsdWMYZHSwje4mwEW5tZQpJIvAhUpqCZtFle7JFIixaQSUueOJ599hwXnv48Wll213e4efkaP/zOi4wLGA4KqtLwU3/1J/hP3yhItKeqhnGCGgJVWZEuab70xS+wv79Fp9viYHeH/u4OOm3iQqDZ7lGUjr1rtymtZX17A50oFpZ6FKMRiws91jc3WF5Z5GB7jzzrIoRGiYRWs8nZM6f5zHPPobTkBz94ia3tTSpjOTgYMugfEJwiy1oc9IfxWdeRd0ondVZIyt5+nyDieNPtdllcXKSqKj77yc/wqU98gqq0/F/+z3+f7z3/Ldp5k6TTJXhPq9VCy4RGmpOnCXkt6zQel6xvrLO5uUmQAp1odJ4iUk0rzxCJYG9jN5pqpzknjh1jodPl2uUrrN+4zo3bt7FVxdqJk5TGsXtwwOaNG1S24uyl8wgh2Fi/jXUVeFBaE3WJZMwykIKqNPQHA4w1h+qYrLOeJuSHgJgJBdNxQ9QkS6jHi4nv1rzZ+WQ/OeedMCUrwswsez5bZCKnNdknbqvlHOvxxs35oMQsgBCzsoSYejf4+vN5ltNqteh0Oly4cIHdnR1effmHIARaKMblGJ0klKZEqvhsTq3F57e7u8fG+m36Bwc0Wg2SVBOCZ7g7hm6Xb33rW3z2uedYO3aMXrfLz/zUT/HySy/hraXX7UbpzrIkSTTleMRnPvUpiqLkxR+8TJCKTqeDEAW3bq2TN1t0F5bJRpZBf0ySQ1Fagohzl6IsKeoghTTJcTbKmxkTyQNPlIMMk2g5pTHW1XKVkt3d/WlAQzQeV3jn0FJhjGFhYYlms01lYjYD9cJXiBB9RSYL7QBaKYIMhJAg6kyHKEc5AW1C7PdqAix+V74mdmeBJZN5HXXNkpJDdUdOMZ84F0PG44p68S2nONlEyCFM/5/IbsasjxgsEecPk3PXS7BDvuYz8ibWuTq7dHLrdZ11PmYmuTpQxgUPIZIbUkqsi9KgidToRFJUhnExpigtXidRF1nU2YWBabaJUgom87G5832UMPLhKR+0ddPjKfOAwZFF/4+6POr1PK77mB6HB8Q95kCNd1vmz/1OB33g+6wXWkfB9yO7PNZ7uFdmyDwpcjfA4xChMv31cOd+wDKZ58yd7ME+Fd4lWHpXvPcIWDQBAoWIhL8Ph+vEB63Nvo/lbuTcAxm2P8q54gnfk2PPTnKkjRzdfsd7h/cTAC7Kc4sQoodqAOkSCApRSWyRMKoEA58w7hTYdhQ2agRBUIYgHYra90zErOOAj4FXwcf17mSeJyZ4XT2vm17H7Dt4p/Zx+H0x3Rrv4fCHw5G97nawO8kUMff7Qcrd9gyzJviAR7nzqB/8Mn+N7+TUcrQ88NOtM49mWSSzbJLpge5BjsQxY5I1Mvt+Z99zmHEx4Ui9OjTRFof70LnNs9uu9xFhRrm9L32suMtjnydL7vKdfFj6/ruNVQ86z3nEvvehiJHf/u3f5p//83/Ov/k3/4ZOpzPVtu31ejQaDXq9Hr/5m7/J3/k7f4elpSW63S6/8zu/w5e+9CW++MUvAvDzP//zfPzjH+dv/I2/wT/8h/+Q27dv8/f+3t/jt3/7tx8puknchauUQmCtIc8zsizFe4cxFSprRINZkVCvixFSUJQlgQi8J0nK2om1aGYudJ3lIJBC1wvjGFkuamA99nwTjfP6moREa4WuTcBRKpIqafTVQCqU1jHKWkTJFlcVuNLU2RUOhUGlmhEp2eJJvv29yxzsDRHSsHJ8lUQqtFBIpSA4TFEhnEcpR64Ut/b2eO2N11HtMxifYkvF5Wtb6DTlzKkWN25cZmWlHYGHEPW1AxNvjngf0z6m7kyUEqQ1oSOEiBHFThC8Y3dvD2ttlMbQhyVQJpHGE33xyeCYJHoKgmmlSbMMHSIuUZYVCIl1HuuhITXOAN6BrCM240ERNUDmqeVRPAilCERixrmACBIpE4TUhBAB6mmHGYh+IkISkNFc3nmc9Vgb8FVF6QVWeapiCKMtmuWQbhoQ5QhjShYXl0BkGOuwVhNME+d6ZAvnePr4Ob79ndf58z/7Np2lBdrLKcaWdBYWuHjpGYwLOOPYvLFJf2efTz/3HPt7O+zs7NJqtvnYx1YQEoytGA77vPXWZYrRiJMnT06JsdFwwLXrN+mPShrNLnv9A8rKI1VCmidsbO6wu39At73AoD/iiUtPcfLUaUajMd3eAm9evsLO/j7tbg8vNUFo8mbGzu4BaZIgZDTyzRsZwih+/w//iFOnTiOCpiocWdJECB0zb+oRRhCQErJEsLtzm1OnT7O5AWAYFoaskeHDGKk0DaViVHJIUVqSSMWov8cf/8k3+YmvfJ6/+NZ/4hvfepGf+8IxhIgeP4lydLsZaaJpd3U0J/auznYSU9LROE+FYjDQVEXGuNqnm/ZIgsOXluHQ4NyA/mCIlMtonbOxvs+1Vy6zsGhItEaKBmJ/HWNBqQag2N/f5uyZYzx1dple8wBR+Jj9JaLRtUREQE5OtDLrviIEwGNthazbATWZOBoV3KpK2q0u+3sbICbApkKmOcIEAjLWcZ0hifJ8zjtcahBJzrDaYUUn/NIv/zJrp05jveZ7L/6Q3/vav2Nxebk2oY7gmhYSaxxKKJC1rJyNMlmJ1rUamAcPUgUUsQ0KJVFSYM2YhdVFcm1ROHQoOLnS46985km6ixpE4Km1k9gnn0AcjCjGJRfPn0ErycLCIj/z0z/D/+Of/9NazqpkMByQJgmdTovRsE9ZDig3+7SbDZq9Fru7eyQqwzlJ3uoyLgzXbm+xu3+AzhSD0rLYayGzlO5Sj9JU7Pf32NzYpds+xvLyGbY2Ntja3uULX/gcX/jiF/jmN0+ws7uNVJrxuGBvp8+Vq7e5cW2HZrPL7t4ulYnRVMYFGo0GIQTWTpykt7iAMYZnP/EsTz/1NL//H/+QY6vHeemFH/D/+cH3Ea5iZWEZLYmZS8iarJd0mk1aeQMRAuNizOuvv0ZpDV4EGq0GUmmSPCVYw9LyIr/6q7/GD19+mddff51yXNDfP+CNV36IcBV7uzu08ybNvMlB/4CdgwE7Bwc4IMlT+uMh1lZxjYyPZDwCJRUqSTDOUhZjhuMRZVUeksOaZBBEkkBNt08GXTEXQTM/RZnP8JhmSDJbmN5rgTohRebfnzeAB2qj8JoUqT0Zosn3/MATMwQmJMzEa6NVe2b0+32ef/55BgcHNLIcledUxjAux0gBWaNBkqQkKpqnX79+PV5LCDTbbUKIY4Ssn5UxBtnI2dneZu3ECVqtFl/72tfY292lt7DAlStXosxgWeJtrE/j0Yj9vT0uPfEUP3z1VcajEoFid7fPwk6f3Z0+mxv7/ODl1zHO0e60SbKUJM3otluMx1FOS6cZvh7vJlkz1llCCJRVgTEGrVoUZYGzljxvcvPmLYqiiMbwak62SQryPKfRaDAcjtA6wdcZboo4QAcfIjkQiEEDNXkWMS2JB4SKBuehDjKQED27CDUhYqPXW/09+zpjVQpFCL7mVOqABYiBLPVnCbJeikYZ1Fi/DjEazIJV5ldLR1ZQAmZGtXW2SN1z15Vo7r1Yh2MCbH3NAqIBu8VjSRKFCw5TFqSpRihwriJNowyrtRVCaorSEAjkjRQrNAhJWVZTI/oJETNtP3XmMz5ed+DwHOuj8sEtH8R107svYfp7hg0fAWd/1OWRwfrHhPI/MFYuZuuZx1UeJ1ExPeYcQPFefddHSZFD/9e/7keMHL3Whz33fcq97/ZuoNS9DjL7rt8RsH3UMn8fkwjHQ+jlPMDE468nH8byXtTnRyHmHvoc08Zw5P/77H+39huIgYwORCVRRKnyADGbxElKn1B5xagSSAsuSDqZwqcCtEFLwcQBOxDVT2pwBYSPMkfTbZM6GSZ/DvnX3/suJvkmd2s/s61hbmCa0SbzR5nb947zHSZa3vma7n+t77p9PUT38qMuD9OdTDDtOKO9+x0eff4THGXGj9+FpBCHX8+4ATElLJjSFvNtIP5/iEsIcy8OXcyRrJGjFfL97lPv9vjeaV5xt/v6IJe79dH3fdaP3moeihj5J//knwDwUz/1U4e2/9N/+k/523/7bwPwj/7RP0JKyW/8xm9QliW/8Au/wD/+x/94uq9Siq997Wv81m/9Fl/60pdotVr8rb/1t/j7f//vP/TFhzB5ThGAnFQCIQW2rEjTjEajgRAyZhtIMZUgiAtNQApGRYHzAYxDJ5oLF5+gGOxHaRNfG7UTjaKlAq3jwt17S6jjEqOsTbyoSbSkqgkBWWeJkGiyRiumt06iLaUEEoIRuELijSH6ZwR0muAsNNqabidlY/02DgOaCKwkAaEF3hiKcp/gPIlqYL1AacHi0gL7lUcqTVkFgpJsbu8xHm9QFvucPLWCqQoQugazJ2NV7TXCTE9eEKW0sjybSpD5EEjTHLyjrOVdJsBVfO3r+4yeLs6WVJXBWEsIYvocRQgopUlUEqPokwRbjfEBjPHYyiEyHaPtJ4ON9Ahf64SLKIERalbYMxnRVSTJQohSPolESI21UJiq1jePRrWhTjU1LnpLFKXBVAZrHN56BiODkQJbDvCjdZ5c0TQWc7Lg6C4sML4yBJGQpIsE4ck7y+jFC4jGGi+9cIPX37zJ4uIqQ7NFs5ezfKxHlufoVLK/vUs1rvjhay+xv7nH0xef4uL5Czz/3e/F61KCVrtJt7fM6uoy1lrefON1+v0ho2FJr7fAYDBmfWObykmyRsB5SWEcxsFgOGJ9Y5Os0aKoDDrN+Ngzz9Jud9jZO6DRTbl6/Tp5s0WSZowrR1UZNFFTNIhY55212OCROuPtG7ewTtDrLnLQH5HlCa7uoDS1qnwwKARSWmw5pip2Obm2wPUbt5AiwblAkiaU4wFp0gSfIoWCAE46mq0m12/f5srNdS4+/Rw/fOUbnFlyPPfMSaQoo+Gb9wQf651WkYgMwcW6qyUiSXFIvG4ghaNKNI3GSYLo0Gs2aOYdQgXbxvPKjU12h/HZjQrHsD/miXMr6EQwKoE0Q6oMYT0EyY3rb/HZ577EUh5olmN0IdFJFieFyBmwRS3jImN2B97WhupxCum8x1hDkmoSGaWtpEqwFoJI8MGxtbPPzfVbpJliZWWJohjT7x8wGg7p90dUJLQWT/KTP/NVfjpfoL20wmc+91mG44L94Yj/8B/+Pd12m/3hqM7skDgTn5sx0XcpWIcApPckQkRJtOBJ8jzKcqRJbfCcgIbBaMj5U2dYW2ySaIuiwps+g90NXv/h6wzNNs4V9LJFnjhzgV/6r75Kq9Gi3WsSRAkBuu1FPv3cZ/izP/tPgEDrBKkEVVnS39mg0VRsbW2wo2Qt9SPY3tplf3/MsbUzbG/vc/X6Bmkj48TqCv3hPtbt0ejk+KokeEen06OQhkazEUHQ4CjGQ95843W0DuztbeC9QScZZ84c5+mnnkSIFzi+ehZrRS0hmLK7v0cIguPHj7O5vY1SGq00OtEs9RYpRgVL3R4vff9F+vt7dJtt8kSghaeZp6ha4i1JUiSSdrNJ8IGN27e5evUqB+MRzU6bPE2mEl5BeIpixPHjqygFZ0+fYu3YKpu317l94xbWlIyHlixNETpha2+Xjb19Sh+j2oUQJHkSPZW8RGpJVZU1kSxi+yFKIZamin3z3ERcqRglr+oMyHlJq2ndljM5KyYkyJHZyjRNOcyRKhwmSY5KaM0yBfwd8yHvPS74KSFy6L16sjdPisyfazQaxXpfVbTbbZ795CdRQtA/6HP58mWyNCVv5KgkwXvPuBpRlgVaao6trlJVFWVZ1r4/ImauEKP8vXMYY2g2Guzv7/On//k/s7y0xLnz5xn0+3Q6bbSSBALjoqDZaKK05uCgz/FjJ7hy5SpSarRO2d7eY3tnn/X1TTrdBUbjMQcHQ0qzC0LQaKSY0aAO9ojfQ7/fJwhBkuX4EMjznNgpxmdbVSZKYgUYjwuyLEcrXT8bXxNQgZOn1siy6METyYFaplAKhPdY75HSIYWuv1SPQsVFXE0eeBdqFY+4QvG+BvalqOfjqpZA9wQX5xP1VQDRr8NPsbHa8DzUZLOIMwFfz/+8i3/DdHVdEwj1d++Cp77FKdkSSTiHd/V7Us6eVZ1hMjFaF0HincAET/AgpUCpBK00jbyF9WV9LROyzuIcURpLz+ZLMVgg1plOp0HW6qLSnN29A7a3NmIwDdTZxJ6qrFCq9t0RIkrAhYAzFR+VD0f5oK2b3tNy3/DYHwFa8CiEwxTQPAwcvrdlHv0K7885323WwCGgon7W8OjXfQcRMvdMpLhz37seY/rr6MZ3OPf93w733OchUUvBDLCaHDs83CHicSbtLBzedgfQVW+bPJfAXNWeANTvU337AJf4eN7ZA+dhjnjf7/RuaP2DHfYh9r1XG5kjR+ZLIM7PrEdgkQG0mMShKvASYRS+zOhbyThoqo6ato08AGoSWhID+GrGBYJEipjxe4gQYfIIxKFtky1Hwe/Zvtyx/+RT8+bognkw/PAeh85YN8K7H+/OMz9Mede8SE0afVjIkQcud5AiD3KHAUScR8/7S9+zyxfMxpFJ1kj95c+awEOwGo/abh/X5x/lhPdLL/+gV6w7iJC7kCP3Ku/ivh5aSuudSp7n/O7v/i6/+7u/e899zp07x7/7d//uYU591yIiIxFNs6EG8uOiVClJUgN5YpKxoKJUj63BiyzNgEBVFOB8lJIwjk4zpyENSkRNaSEcEzkDKUX0LRGS4GpQgHgdNS9CqA3RRT0A4C2iXthGbSbNVP8h1BHkUiBzDSqOLlK08EGiRYkQgYVOhyA0g0pQ+gxlFOVgRO/Ecar9fapiTJpqjC0wTrDQXeL0muDPfu9P0PlxvOjigfV1xemTLT729Mk4YMlA8LZ+dnHi5F1A+jiIBR/9WYIL0QNBSopiTLe7iECgVEqjqXHOMx6PkcphXRVBIu8RQuGCxBhPVVmMidrjxnl8cOhE4UxAoNEijZkcIeC8wWExNnqYkKVIFQ2nEdEA2dfDWwgS78FajwsBbwNeeBBRssM6i3UBKPBIrLEUZUllDMY4KhPJMucCRVkyLiqMsbgaKBYuRux7CVIaXGkwpxZJV4/hdIPjJ9Yo/+wvONjfY797jJWVZfJTaxRk3Li6yevXr9Mf7zHaHdBc0Jw+cwknDaV3GDdGaKhMRaOZs3LpIkIE3r5+lZMnVtjd22FlqUWr0yUArXaHg/6AC5c+xpVr19m8vc3ZtMu4knjVAhTGKRCaqpJYC7dubeB8oNVosr8/4OLFS5w/fz564BjLYDRi92CXNE8xtqKRJlRmjLEjMgQKhzcRSCxlkyRrYsqKzZ1+zFySAuENikCqBN4ZpAwoCc5GAkoEy+b6LY4fW8OWI7RKqHxJM12gPxpgRUW3u4ygQmhNZUqkVjS7XV764av8yq/9KlevvMZ3Xh5y4kTG6WWNCNt4VyBEgkqb+CDBViQiABUQEKJF8CISo6Gk2xAImbF3sEtZHJBo0CLBl54wDmgrEc6hsoQiwLknnqXVyxkVJWbnNrvXXseXA3INhBGvvv59FlLFZ1Y1C0JTORd9bJRGygzjo4+DkAJsQODxpqDdyBnSY7/cxwJJI6fZa9PQkrMn13jtlde4vX6bIDNKV/Lyq5ep7JBGrhkXFTu7WwyHQ46tHqPZWaSZNlhYXeMTn/0Yi8fOMbae/eEQpTV/9Ef/nrevvkFVwf5enzxNIuDnTMxsUZo0z2m3NHme0Mg7NFtNWs0GWZaRKE2r1SLPstpHI6XZbuJxLHR7tDPN+fMrSCk5d2aN119/g6/96/8Xl548x8c/8TRnTqxwbLVNt9OMHkjBIYiyegHFU099kh+88gKD4RBPzGCQqWIhX+L6zcsUJQQ8KyttRJpw8/XbjIaGQXmb4XDM3v6YVpDs7QxQKqAbKVoonJCkjYxUJaTKcOn8BZxR5Kmgv7eNN2O0dLRbKYUxVHbI9p7nrbev8id/+g1S1aWRt/niF/8KSilWVk+ztnaCdruHVgl7u/uMh2MSpSnGJc//yZ9ysLePlJKVbpPgHc0spZElZKkiS1O0lrRaLcajMcZWXLt2jVs3bxEEtBc6kcBQcbLiTYVQgoVWi16zydatm/T7A3Z399jd2cU5iw0OrxS393cZjwtGZfRkQkqyVGN9wBpD8D4aqpdlJCG0giAojKGsSmzt7SRFXNIEP0foTQjy6cIxTk4nALOsZa2897Xhd10mYxtzYEe9+JrOVYmDZvR6mpEkcfOEJJnC3Mx8JWrypD5kmETZ17WKaTQPeBc1jxt5XmfXjQDotts8+/GPY63lrTffYHFxkV/91V/hrauXuXzlKsPhqDYjF6SpxAvBjZu3a+xcgFAEEU3GdZKAkPRHI5CK/nDE57/wY9y8dYuXXnyRxeVlGo2cbq/HwbAfpdeWl7l6+TLHjq+i9obs7vVJs4wAdDo90rTBzZu3WVhYpnIet7lJkjcpTQVCoFRgdLA3nQ95H+gPR4yKKmbPOc9Cr4cU0Gw20UmGMxYQWBMYDwoSneO9A2QdKBCJpE63g6/lNaN3k4p1I8Rggwn5FYSrPb4iaUGImQ7eeZzxtZyZAkeMRhTgnI8+TH7iD2tjXXHR9FzqFOcC1tfZElJOs07mF6rBh1nlOIQTTSrIZA4dmMl8ThZEYjqnm9QxUc8h44JtQqZN6qGYZv6F+lkL4XE4Ai5O59AkSpEmGSKPmb9IhXWGRpqT6CgzppSkv79L8BXD/R2SrEkqA6ePL9eZuGYqu2hVihARGNe13F0IYI2639T4o/IBKh+0ddMjRdPf9ThMwQ1xdPu9PvC+Z5TcY+H/QNchDr88CkQ/rnLH9U0A7EcgdR75Ah7iRPckVMTsz8N8z0czRI6+luLwfkc/9yDHfohy/yt/DEDSPElxCHY9ssuDHOeOixVzz3+e9Khfy/r1IQLlEb+3v4TlgT1w3t1J5l7zEEDffa7tYS/7jrZU/woganIEHKoQiCBI6/elgypIKhIMEu0DuvaGs1rSwhCkQAmPDFH2XNcZI5M+Tc6fkhoYF3Nx/PVkLBzZb/7VYarjXg/j6BFmbU1Mt8+RLnO7izs+d2ew151X9fDvvlOZzkMnzfUDjmO/U5l0eWH6//1JkbsNjTFsydcQapjtOGd3OCFEQr1PqP8XgigHPJ9NISbXMcleEtNrnWWE3GXMO5o1MrmOuV3umBsd+u897mvFHS8Ol/d1jvGI5W5j3FFy5F773HGsB285j2S+/kEpE7mBicxB/Im61VLG6GOl42LSeo/FRw+LupRVETM/nMU5S5YoiqLAmwqtAFcgQhXDH2UkQUTdrYtQa1xP3X3i2h5fg0pC1sBSqOWfJLjodSKcQGTJtOEGoma4SKLBbZwUNhFBkrk+CEe300LKhGEB4zEcXzzG/vUr7N9YBzcmTVJCsHhcjMI0BYu9Flu338aJA5AdnIBAQTN/klb7AmVZ1PedYSqDCALrwBiHsR7rA5VzGOOwNvp+tFstegsLFOMiZosQoyr7gyHb29so7RHCoepMA+ckPgiMiQbeUfbERCN5rciyjMJacPExOQdSKqz0GOewQVCODK7RwJY2RnjaKNXhvItRqQGs8TXJYeK1hxhZaaylLE28l9JFaS7rcc7jg6h/AB/lQKytsw1UgiBBK0neUCQqQSUZ1g6psGTdExQ0EIVgd78PrkQpiW4tkx+7xNXNbQ5GB2xu73Pt1nWsLZGqot1qo4TGaxgPxugQcHh2d3epyoowdrQaTZ58+klu3bqO365QKlCWQ6RM2N3do9nq8cZbt9jcGbE/stzcHpA3Woi0jbKSwWBIq91gNCrY2d1HSkWz0YhtA8/TTz3FhYvneeWHr5KlCTduvo11JZoEUxQkeYNOlqIkNBo5lbWsHFujcoG3r98meEEgZojkicR7Ew2DU01VjhCB6HsRIvwdhCBIhS0jMbbY7VIVRTQeN4Zjy0tcu36LdquFsdFgWEjJqChxdWS3l4rlE09w/bUf8Opbeyx1OrSlRCkBOprWBqFjRHEIEKrYrmSGEg28VGRakEuD1qA6LQ5Ge6yvX0aSUlYthAk0dMbasVWc3ef6FYOQOcERNVRzjZQBKRzSFnz+M8/w7//su+QLi/iyTZZKvBSE4LGmQiqF0mqa0SIJJFIivaWZp3SzJa7c3kUozbgs2d7bpZ0qVpZ77Ozt4hC42ny9NIFEZ+zubqNVYGV1maeefIpedwHrBSJv8fLrb/PKG1/ni1/5WbZ2BlxfX6e91CXPBF/+4mfRokEr73BsaYk8laQq0Op2yZpNmo2MvJmSaoVQEq0USkbpJAkgot+SjGw0UiqkFlGWJ01JEknAc+78Gf7rX/tFPvHxJzh58uQ08lzgMbacRl9LleCdRmpNt73K4vIxbt56CUJKfzSmV1Y4Rtze2EKQ46zHk7KwsES7u8Tm7nV6y01ubuwgk5TgwVaGNBcstDsE49BCkgqJRrB8fJVmpllYXuKLn/sUG9evgSlx5QjsiEvnT/LD196g01nkxRdeQSeKVEuSxLN2fJFWu4nznmvX3uDa2ze4fXOD4cGItdUTnDx+gu2NTbIk4fTqMkUxikC0VGRpEmWZsoS8ljxx3pBlGd9+/nm2d3Yi6dTIGVUlz3zsaa5cvky/f8Dy4gLtRpPVlSUaOuH61bd56/Jlbq9vYF0E46VW7OzuMi6LOJ5oiRYKpMDUZuPeGUoT26ioMz+sdZEMqkz0M6CeawRqwjuORRNPiOhBMckOYCpTBUyzR7x3MculHl8PGajLSRZiPU2bgtNxX48HP4vYm88egeh746fvxV+TzEUJhPo6486e2iwHvEcpFYMlpCL4QLvdRkrJ2toaB/t7vPbyy7R7PZ599lkODvZ549VXGZUVQYgoUxPAGAsovIjeKiE4rIvm22magYDKWL7w+S9z+9YN2sMhp06fodXpsFdncdg4uBGEwAPff+H7WGuQSnPm7FkOBq8g62ySwXDI8spxTp06zfrGFr3uApWxbGxtoVUSCQtT4QMkSoGUOBfwwWGdqMdcw0a5w3A4oNNp4a0nzzPyNMM7w872LgKF1pKqGqNqEsxYg5CSTqfDaFzggyDNdAwgcCCSBFQtYhrCxDCJiYF5JMomGadxJScFKCmiFJv3KCVjtqiIEoICEDIS2IgoTybrrA3BJOvnzont9PgTOc1J1tKU5giz/aivE1HLn03MHCPRE6XA6vlAmCzZfE3i1WRe3T588LVRusDaMpKE3pEohTUW6xxaCZTWeOMRUkYfkiAIznNsZZlf/q9+kUajhUegkjTKaLkYyEE47Mcya4txFjoaDfjD//D/vvvE+KPyUXmvy6TvnpMFejAw90dBjjym8pD8wWM753x5mPM/aEbIFBR9hJt7t89EiFmmnjiyvR7np/8/yrEfshzlCuYOdo/t76JM8YMjD/Bh2tM7Hr9+MY+sToM5P8Rt8S9VeZBGdJTIeHfA36HDzn1uJjcEwnmwbuoXmwiBqFN4g1DYIClDzr4KWCmxmYp3oiERDj097IwcOeQuckeqVHwOkRyBejHCgz2fByt3B6qP0CzvmD0yO9p7T1KIaVCYgL8U2SPxfg519vf/QP31T31G6vWErOfk0Xgw1DhTjTdNPUWIyglzMlkCUQf+cbiu1eTXtDlMu8wZWVezJbM3p+tUMSNp5i86xOsRh4jouVv+UXa/9xp/7lUeZLfHfl/zY9f85gl2ULfo+3YRD99gPtTEyORpCBGxkElEYDRfd6RZSqMZI/VMUdWgfC0f4yymrKaRtM5ZRCYZjYYxmyQXeOMgRKhHhAhSSkTUX5yQIRNyJsQsBS8CQYEUASGjcWZUhtDgxTQKUnsZs0jqBbyv8QVqo/bgQeh6kBKWbidDCYM1Y8pigFA9pJT0d7exrmDt5CqmivendYIXluMnT6KkZWd/gzQPdfRiwbiIUiK7u3toKSjCCGMsUUoqRPkqB8Y5KuswxmKsoz8c1ZGLiv5wTLvVwTsHQTMejxmPxiRpIEllrR0u0Urja0kmnYRaOsiSuUCn0yHLEsaDqpZLCeBDDVAojA04p9hY3yP1MNjbBaC0DhvAOoe1MbOjqizGRqDPmtocXshIPIVACAJrJrIrCq0T0jQjUWk0ZpcJQojafyF6RAAI4VHKMx6MUB60UCShwfrVXXy/QsiEpl5AkoDKuPTsc7x5/QpvX3uLpcUVRsWIYjxgZXWJJOmxvLJICLC7vUd3pUe/PyBLEpSCZjPHF47FxSWuXH6bpZVFjBO0Oj0WFpa4du0GzsPb19+kPyzRSQOVOA4OxgzHLt6js7Q7LaQUMdPHB5rNJgCDwYBTp09x4cI5ut2Mza0NTp46xf7wAGFLtJYsLi+ghKDTapOlCSF4HIG15QUGRcW6ElhTIrzAGMvYQ5IojCmRuOjpU9cZISBJdJThcoGyHLG1uUOS5Lz99nWqqqSxe8Dp02cYj8cMhwOM86RZg25vgW6jQQCyPGc8HEcNfa25fHOTp85ntFcXwLgISiWO4EegYnaXcHWIsrYEEUkzHxRKaSSedrtL1or+K7aCjlhgZfUY1zfHlKbC2jFFMaKVSjAjcmUpfUkjOLyzmIM9useWkcUQMc5oyQ7aGDIgV5AoH70cnMOH6Ccghcc6g1IeX1a0F5qEymELx85olzTAuhmCc9xe36DbagIea0rWzpzi9o0r5Frx6U8+y8rKEuNxVUuJSYpxwcrKCpeeOsP5s2dZWi44d+k8WSvjs5/5FInUKBFBSy3lVB5PSEGQoo4Cn1DLtY4+1ERh9JcIPpAoGTOBfJyIVALSNMFZE+VfVGB5aZHej32uzhgDYyq0liQ6qXttAUSQryodQmkuXXqGF174AWVpSLIcoVOKwS5Kp7zwvR+wuLTE0soiu/tbIC15I+X6zbfZ2dnm2LFjHF9dptvOOHliCWv7ZEqRN9oIZ1hstTm2vEgzTdC+4tKp4/zKL/wsjUaTxVaObS0iqgo7GJAtrfGZZz7BD55/hfMfu0i72yVvpjz11CVu3rzJP/m3/5bLb13luU99hhPHjnN6bY3xcMTywgKddpuqLOk1G7SbLcqqQgrI8wytNVVV0Wg1GQ4tX//GN9jZ3WVxaRGRpFQh0FtY5ud+4Rf54Q9e5q033gDvOdjb48btdcrSsr2zw5WrVykrQ95s4oqK3f09KmNYWl3GuYkvAxhr8T5K4HkLAQ8qfvc+QFkZyrI65OcxNZivSZGJKbecIx1CCFGOMrjpNhdi9oi/28xEzL+cANLUYyd1wH+YrYHmPzclOu5OlhwlUay1BBcNIFWSkKQJ3sRtaZJSliXNZjNKQmYZ165epRiPEUqzcvw433vh+1x76zIii3JnnlB7OGmcdRTjcWwDSUJZxv5SKYX3gVazgbUV3/3Odzhz9jQXLlzgzTff5Mtf/jLf/OY32djc5Mc++xnSNCVJMqx13L59m16vh68c4/GYteNrfOvP/4If//GvcPHiJVrtLt57Ll66xM2bt/A+kOiUyloQkuFgxLgoyRd6NJttpNQ4D8YHZJiNabjA4GDIC9sv0Wm3efLJS3Q6HSpX4XFkOgEjcMHX2VyB/f19FheWGY0LrHV4X5ImMaPTGIf28dhBKQgKLwUaWUsv+lpPMcS/IRCUx0uP0CH6qElPCLZeNEQSXVIvcIJHKoGSDucBkimbNpFrC5P6M6kLRGP46eqxHvd9HTQjpzTHhLqTddWKZIqsI5RD3f9NqZTJgkqEaX8WiKSFUoIkUfW8IdSEPDFrynlQqibnQk28KBKd4KwlSRJOnz6JEIrKOJSakDKhlm8VdUanOdScJlJnTh/1U/mofFTeZbkXsHYv8HQetHovAPv3sjwqKPx+gcnTZztX5sGZ9+Sc90EP7nnP97igBwVpJ5khR+/3KDHyMMd8wH3vh6M8CpjySOXofc+RjY/1HPOAHvdpf+9123w/MjIeprwX9/mw93i3tv4gx7/veR6w3Yg795kLX4pzF+sRlUDJqCwStMJPVFN0wjgNeCVq6a2YPeJlBKknzcgRSRFPBJnj/E1MAe9ZtawzkQ9dYJhc2HTT/B3NbX6oMvvc/L3fXZ7rfke5G979XpTp9c5xnB+w1jRX7qSgpjj2rNI98NEmdFrMFglI4WNWkvAIWYOnMhDkjBxBMg32i/I3cxkj9VxfhHAn0TRfoSZVbzLuywmPMM8AzPWr82TfnKxvYBJIf6S21Ouae/b3D9s3PGx/9qDHf6jj3oPMeORyl4o+fc5z87G73cYjjjcfamIkBE9gpj8++TtZPGqtaDWbJKkmjAucc5iijH+djQbEUlJWJcY6tEopyxFFWZK1WwgpwceFu0UQgiaq2ykEMi7EQw06CYFQUSZhIvIUgid6n6jpJC/OA2uQqSZYgo8a3sFFyQi8x/kSJSTCVAg5otXSICusGyNlwI364D1ZljHaG9Dvj5AC0lSQZopxVSGko9drc+32TRrNZQpjcb4iWEdVVuzt7NJqNjBl1Ep3PuA8OB/vESJwMGnfjbyBEEwNWUUdpap0NKbP8wbtbkqaSoQiShshQWicj+RPqEE0FzwLgwFJojG2pJm3o++CDIgAzni8Bes0165vMNwfMNzdid8XxO6xBjW881PpriRJptIgStfyEzoCfY20UUeH1ttFNDp1zqJ1iveeqnJRH7yKZFnAUlVD2q0WjUwQrGdhocfoYIur27sYJ7ixU9LtneDHf/JnefPaNd5ev053qcP23jp/+o1voIJgc/MGW9sbrJ0+yVPPPkXIJOPSMCrHmKLixrXbtHST1ZVjLC6uYE1AScWxtTWkyrh5c4PhqKKsApubeyBTxqMSJTOMCxTlGImqSYoK5wxaSxqNBmfPneH555/HOcczzzzD5z77KYbDkrIc08gSlHC0ck2rkaKCA+cZ7G6zNR6TZJpGs8lr+weUxiJtQKFJdYqVguAr0kwjRGA4OMDalHJckGcZzjn29vYxxhF8oNFokaQNlpdX0Tqh3W6zsLBAljX43I99ET8hNaWuCQVPUVToRPH6q6+ytbVBt9NjZ7TNX3z/Kp0ff45ep4UsbmPMEKUVUkHwEhEyhHAEFQhaIMgQIpAkOd4VGGdQScrqsbUoExa6rKwscfnWZQ4Odul1JZ/+9LP4aoB0A5JWggiWTAuM9BhXMdrf5/Of+hQnl1Zom13cQfT/cSFggkUSahk3WwPMitrhnBACi71F8qxJOSrpNlOytEFhC4rCMB4XNLMEvCNPJE8/cYFnnjyFFIbl5QVscHTbHSoD5bii3evx1HPPoEQTlGYp7WG8J0hPECDREATWghQRhKwDzSNvGzzOhxiZjIhBfIBOo4bsJPNHyig5J+tstzzLplPDmUm3IteaqjIkSfQvKKsxUoKeAKk+RLnDROHJWFs5Q/CRYAkhEmkXLlxibW2Nt968xtraKu1ORrvT5Vvf/A7Xr1/FOVheWeWLX/gcZ06dQAlH8AVbm2NOnljD+xJfFix1WiTOIl1JliWoVPDk2ROgFEoLKufweH7sk59E512U2eP29Wt86tOfBwI7OzvcuHGdJNGsLi+ytLDAr//qb3Cws8+ta7do5hknjx/HVZZCChpJSvCCLI+kYGlKvHW0Wi1++OqrfO+lFxBSsrJ2HCEleavF+vo6Fy4+Qf9gyOLSMk99TLNx6zbeB95883UO9ocgBS7AqCiovKfT7XH8+AmClAQZ2N3ZiUQXULkInocAQkmUkFgbJQSd87U/RvQQmRh2T8alSAbMfibEQ/RJ8ITgmKQXx7585uVwxxg9G6wJdUT+ZB4YajZkFs1/+HNhetxZdgj19nkj9sk1a63r/jx6RhlrSbRmYtCupGRvZyeSgFqzuLjIpSef5K233uK111+n2Wwg8wxrLVIlEEI0VBdx/AjeTj3KkkTXPhMxkn/z9m20hE997jmWlpZ48cUXCd7z9FNP4r1nc3MT52IdiEEJuywuLqK1Zml5latX3ubCE0/x8Y9/nP39fVqtJou9Ba7duEExNqyurHL9+k2CC2ghMdaT6pQ8bdBoNEh0io/TECR+GrBhjSFNEhqNZawxjIYDXnrpB3S7LVBxvWBsScBTVSXHj63SzHP6B0O2trYARdZoxjri3MzHyyukVHgbU0NjbIhFKXAYhBAYW+KcIaCwoQ5WCAGLRSKxUUQQggInokdJiBmlgYD1FdaC0nFR4ycmVpM6FOoFB3WEWF03RA0CeR+mdYbaa2ZSbyb13TlfZ67UUnChbjPMZLamc81pfYyLZyklWRY915QEJTVpqpkk/WqtkULUmVbRbyQEPc1QAUFVldMsFymjTJmXPnqyeRfHDBEzleP5HVKCVD9CUPmj8pevvBPG9p5Ut/cS5X8PT/8ju+xHPPHjIHPudozJtjvAh/sBPXOg7qHX3Hmc6f8PiwA+BCly111/hIjj465b86TIbDLGoXt8vwjKDxopAo+nbRw+4J3Hfy/KOx32UdqLqGc2E15kgm+GgHAeaQRg0Rq8giAlJpFUaYpTAo0j1XY6N4kR/rMzOOp5lRB1uMqM8Dj6mML0U4dpj/mcjTCFyx80cyMe7+jn7oTw48YHycyYd0p5b2v3BDMMR7b85S0R964Djup2GqtlQImAkgGpPEKFGISlalJEAUrgZUB6pp6GMWBKzLJMHNMqFpjLZboXqC9gKkN4t4c/7WfDkc88vmfyoyuCB8ssEXd9+fjLUWLqfrvW7x/1KbtP+dATIxCmwM0s2MEBMeqw1W7Wsg0RHEFJ8maDMCqjDI+S0TPCWZRSmNIzGo9ZUF0QEmQEVqTXBKGRQSF87RnABJwRs0Y8bbp1JyZBhBjFGkQ0ZAeDNwHhE1Cy7qB91H2vG29sx1H6KARPo5WilKeqBjhfYayiKEe4quLY6hr94QEAWdpkb2+X/tigmos8+eR5Xn79OkJ4ZHBYa6amnlJqTGmQMo2gcggoD0IqhEwJIZCGSI6UVcxEWVlZodPpMOiPZ9+D93gHQkoWFhYQwmGDxfvo/4HQSC9wE+PQ4JBekOc5WZ4S5SoC1FJnQmhM6fBO4Jxke29MNTb4yiKkoJJJxJeVRkuJ1II0mTUPKQVJmpDWkdrTaFBbe8UQdc2Dt7VJqmM07EeQz1QoKUkTTSIlOpG0V5bI8pRebwktBe0spb+V8Y2v/2esb2D1Cv/r//3f5s1rN7i+d5usG+ibA27dfJMv/NjTDPojRoMxvW5Od3kRrTTWBXa39xmNC9549Q1eefEVlrtLLLQXaDU6NJstFhe6pEmLGzc2EFLiveT69evsHQyRqoFUKWVVUFpHnudU5ZggJM1Gg7KENE3Z290jz3Ke+9Rn2NnZ4TOf+iSLi5LvfvdVFhdaOFfgyhELzZzB/h6tVgu8QElBM0+i7E5ZIGSUE/PWRt14X1GOhhTlkIVuh/3dXaqqQtcAZbvdYXFhiTRN6fUi+dHtdiPRFjye+NwrYxj0hwgp2Ly9MTVL9t7hQ0DpNJrPSk273cZ4AXS4un7Av/1//jFnFyV/9Vc+S5ZJrOkTvIignWggpMcisFLWhF8cs1SSRVAsjPGVZTQsEEqzt7/D3t42xpakWZunn/w4pdslUwElIpHqtaQMHlKNShLOnzjLJ556ih/+0b9FhkCa54wCjIynlTdQIkUKQ+UMEvBS44JECUWz1Y39i5BIpWk2WnRbGb1ul6XFxejFIqNkjquGnDp9jOFoD0KUZLE2YIyg3V1h5cITKJ3hTYzLCUKg6r4xRk1HgDKVUWYwgofRbBlRkyViMvhNtPhrsNxHgkcKBXUf5rzDlJY0jTJWiU4IIfoHaK3xzkdJnbpT1lJNjYUDoHX0BTLG8eff+haXnj7BMx/7JH/+zb+gkXdZXlxhNNrnu9//DmfOnGY43EfI4wxHu7S7KT/3c3+Vg/0Rn33u84yHI9ZvXeNgb4e144sE53nztdf4zHOfJOt26WSaajyiKobYosRbgVY5BM9gr0/pCpI8RaVNMI6djU3yLOfrX/86aSNnNBryZ3/6J1w4d45f+LmfQ6G5+sYbmNLSbTZYXljCuQrvDIudJmZk4+RNKaxzNLKc0lq+/e3v8Mprr9Lsdmj1ujjvCFJwc3OTJM/pLi/zyutvsLOzQ39vl7fefBN8YDgcYC0IrREqYXFlFaV0LcsEebvJzt4ulbVIrREy1qcg6uwfJIQoU1hVNhIcImYBee9rYh+kimC6njNaj4C3r6Ws4ngnlKrnf6GWP3SzzBMp4xxqOhjPDdiiNnyfrsNmE5X5IJx5c3dfe4dMIvzn35vPGJkQFpN9Jt4oVVmCECRJgvSe3sICl554gjzPeeutt7hy5QpFUdBoNCkrQ6PRQFYmEiJS4oOn8iUTc3KlIjloyoITJ9YYDgYI7zl7/jznzp1ByMCrr77KpUuXEAi8h5WVVXZ3dyiKEqU0ZVkyHhV4B3mrSZKkrK2doN8/4NSpUxzsH9BqNBmPx7QaTS5fvoqUknazSVVVsf2oQFUOYwaKioC61JJEaJyfBQwkKsNag7WORGt63R5lNWJre5MgPJKAq0kyTzRVF0qTNhKC1FSlwfsxWZpjnCPVcfHhCQhiVmg0RPc4Hz03RIikvrVVNFwPgKiDSTxTcs262ruk9ggL9djsXCDgpsQZxIyNUJO1QlDLOTKZZc0mv9NFzuEglAkZEYKoSY5Y10UtrSVE7XkUJhPtiUxrYDL5nq15AsgY2Rj7tFnWVaI0WglkCDSz6GmjpKSRR5P7EEBLHdde3qK1rCfsk2yYgFYTsWRZe5lMrgWUjh4jzid8VD4qj6+8AzPyACDqAyxR73LKaaf/MJ98TOVdMCPvN6j8bsvdANow/fWQx5gDju51XMHdiZQpASKOkCN3Od69QOVHBJvvuNNJ/fsgIoxz+Nq7uzwxR47Mg8z3Ia/g3s/4Qev7B5EEuVd5z8gLcfjve3mOd3WMoy8Ot01RK3lgfQyaKz16KAkSXC6gobEpVDpjlNkIVlMD1yEgRajni6ImJeJxfaitdo9URDH9PcvfmNACd7noKcnxkDc7nT/e+QRrSaV3JEeOgrPvx1gg5p7KX/4yq5Gz2YUUNTFSZ4tIGRA6KvUEJfASgqxxVMlMBquW2518VUKKqMzD4X4xMCNhDj3o6SXUnfM8UYKoX855jggOVY1D6xTq65qc93F9oQ/SHzxSpuz018N84D0uD8hewuG5xgOUDzUx4oMjBEeYRtNBXMBGbWfjDM1GszZMn8mBNBoNghcxmjLNqFyBda42VJXs9wec5AQIhcRHIF/WC20JE747SifYWb32bnptEWMM9WTEAh6CrDWmHcFbvCuj/IyoiZY5ZjRGCkJQOQhNkiZkeUplLP3+kMwFitGYREianR6F8YyLEcZCUTp0mpOmKadOn0YKQVmWhKBpt9rkWc7tWxucPnWc4Aw6yZFK4rzFuRi5KGSCDR5dm6+rxJPojGazRZJoKlNE8MMYBLauFC8AAQAASURBVBJnA1VhSNMG1hUIH1BK4JFRSguYLP6Di92PTnTU4lcKKQKuqkiUjr4GQhC8AKGRIqHd7oGLRtZlRPHQSpFoWUfAC5SIIJ1UoQb3IvBnjcHXJEhwFuuiSbBAoGX0w+i2MrRMkCInzxLarSaNPKfRSEmUp7fUw0bImSRJMN7i8gbN9im+/NX/mjdvb3B9Z5v2agMhBuxuX0PJEdtbfZrNDq224qAfDcm9dThgf7tP1mhxsDvmwrmnSWXKysIypix54YUX8M7w5S9/me5CF2c9L7z4MkUZ/V5cVaCSgJKSViMlbzY4deIYiZL0ej3G4wqlNFtb25jK8Mwzz2Ct48knT7K9tcPly2/wzDNPU5QF1lZsra+jlaYsFAe7B6RpSlmVVKZkXJZUVYzzXTt+is7CCkVR0Gk2OXf2FEtLi+zt7tLpdGm3WuRZHuuwUFSVnZKSw8GIoirZ3d0mCD8FrqSS7OxY0kSTJgnGRj1/WUfxem8xVYFOG5RWgswoQ5sKyebGNrdfucGZ546DO6jPFVBCIVD4IMArhoM+jSQDPME7hA4xQ4lAmiUYFWVi0lSTpoo0VeTNnFAoRAJOSULWoJIJlU4RaQODAOcZW4/XKUan6LyJaPTYG3mM89ggkbqJVLF/sD7BiYTCBWSakDYymp0W1hdkecbu1ja9bpPjq6u8/eariOAIrsJUBeNiSGUqkjwniIS8tUgrW+BgUESgzCikyuLkM9TAdy3jRU0cTy2W5Gx8jAEV88bEsR+VIhIgWuo4nQ2yjsb3DEfDSIDoBGssoLHWkiTp9Fxa1wbBYQIgzkBKX2envfrKVf5v//0/4Zd/7at87Jmn+Na3vst4XKKTjL2DcYyw957F5ZMsLrZZXlmpJZMkZ06v8eorLzHY76OEwpmC224MvuRTn3yGhU4P4Q2D/h7OlCRa4+2YqnR4MyDJMipX4fB4U0aJRJWzcmyFRiOnJEFKxYsvvMCJ48f55p/+OYs/+ws08ybCB1a6PXqdHuPhiEaWMTaGqizQKgLGRU1Ubmzc4vU3L7O9t8PC8jJoibEGtGJ/2EdpjdSK77/4ItYYtre3SaRESQHB0+x00HV7dCLQbLUAwagoCALMcMioiOSe9R4lBDpNsN5TVgZrLM5H7wJjTSSGwyygYPKdTHwMJvJZ89kXzrnp69iPR5Lbe1dH2k/INerMqBkYPStzi5Lpql/M/sxdz6TIifH2ke3z/iWu9vqY92Tw3iOI2aMKaPV6PPX00ywsLPD2lStcuXyZg35/6plj64wSU5vQ53lOVVXTthPqxuF9NBQ/c/YsTz5xCYAf//Ev88IL3+fy5cuMxgOWl5ajRKe1NJtNnn32Wf7Fv/gXlGXMVm23O4xHY9rtNu12O0qWJQl5kpHojERpPvb004xGBS++9DKnTp7g1s0baK0QweGCw1nHcLBHq5FAcHhnIIAPJSE6DU7l20TwNPMY6GBNRTPPGI0TRuMBSmtSnYAIpEkHax27e/tkWYN8VBBC9BxxQQEBHzwqBLT36CSgRFL7ewik8HHcDgGFRHqNjrlp9QIiynSpoGJObajF16REKhkjuIJAqoRALbsmZkvXSGLU87g5PFUwJ/VWz/9ma5PDk2HBnJ9IPHhdz1S9oHE10TOpnmL6fmwTjjghDzgbkJJ6LhHwzkUpMqERMhJA49EYqSRSQKPZRNYEX1VV0wzXSbaLqOeBIcwvfGNfLmT0zosN5UMCxn5UPrjlUQG1Sf07VAXFFHR9ZDB3GtH+PtftdxsxPk8WcOfLx1omQMwDPdx3AL4nxzsK6D3Qtd/lng+9PbeWnd8mJn/nAdj5v3c5x2MAfqdXebdzfCARxsm9h+nXeM/LnEWD3rn9rpHLs7YaP8cdVeD+lyYesF79F1DesW6+1/XrLgcXD/K+uHOXoyTOoY68Bop9AOdRVS2FqgXJUGL74LPoMTJuZIjEo6QnVRYtZK1EEL0AfR2wNAs5mdATTP++P9XnXpV4YrJezzknAPdH5X0vk5CkKZFRb5+ar8tYz4T2CBWlooMKBCVqkqTuQutM+qkdtCCSJD7EwD8vpt/6FNe9a584N+7Nkx+HFiNHDNnnx+zp8eo6L8QcOfI+lvutId6Ly3nc7WeeoHqnsesRz/2hJkacs1gbfUCcC7ipPEKUIKiqEgRYa4hdcDSxdK5ekHqH1oqDomJclgSiDMxwXBIX4BEMCMEjpasVsSbNtZ5geDtrcdMFe6i1/x0xdateTDP5U7PoHnBRUdGFgDSxJYcg8CLDCU0iFXZkqUqFTnIKC4NhSeI8wgTQge3dPpUVFBUMC0dVxQjD/cGY4ahkaWmVleMXaLYWaLVzllc6aJ2SNZpxQV93HEJGAyEhFEIpvBdRlgPQdSRxnmcxkUZKjKnqjkbivKEoC5TWlDbMgNmaKwoT4Is63S1IlEpJ0zwOlEJEUEFqnItSHGVVQmiTNTKOnzhOf383Rq4HGb+rmnzyLhoIWzzBWVyIdSJeW23uKgVSQZpEIiFNNXmW0sgysjQhUZJEK6SIZrZZlpAmCVmaICYR0Tplrygwlef22BB6Kzz3E1/l1mDAxuCA3soCo2KHwcZ1ElHQSALLq4t4KynGHq1jWqAUitHBgIXOIoN+wcHuiMVuA0Kgd3YVESoWul12dra5ceM6rdaTOO9JEkVR2hh9mjbpdBdptju0Oh2kikBqNIIVdJOUNG1QlZYsy9lY3+bcubN85ztvsrW9TqvV5Nz502xsbPL221e5evVttEqpyoqD/QHLy8tIJWm1Gqwsr3Ls+AkWVlZptbogU6TSpFmKEJ6yKEmWV/Aetrd2yLKs9p6BCOzEdpkkCda6GCUriL4USrO/t4epDO1Wm741NRgV25mq/XuElFRlhRMpZfBYYWkEid0vef17r3PmM+fQCIQM+KnWvEIJjVI5ZbHDwmKGlJGUtOUYJ0pUQsyEYGKeKxkN+jiTxnqTaEpvSWSKkym7haUsA8VgwLZucKynOOiP2drvY23BnrfsDR1eCcbjCuNB51kceF3F2Bv2yj7L5yQiS5CpQqWSxeYCSa5pNDOOLS+TykWuvxWJEYGLGU7BE4TEeIHKmjSWTmJpMNxZp+NS0kY7gsRSTc2IqeVpfIixOkFEjf2JBxDE8TsQJcBqGHA68Fgb2D3YpixKdrZ3OHbsGJcvX+btt6/w3Gee48KFi2Rpyg9++CrXr9/guec+xbFjK8w6u8lCSs4mDkRSRCnBH/7//og/+/O/oLOQcfLUCbROMCbK0rx99W1ur19nZ3eTH/uxT7F/sIsxJc08Y2tzn9defp3xqKTdbLO8sBj7hCD41CefY2GhTX9/SCNL6A8r9va3o+8T0G33GIzH+MEBvV4P6x3jcUHiPUak5O02C8sLbO8ZCILRaAw+8PNf/XmWeovsbu3QbbToNNtID1oIyqJA13W1tAU7+wdsbm7RHw7ZOzigtJa0mRNkoDIVJnjQEpUkMZPRWrZ3tkkSTbfXI3iLkpKqKJBCMq5KRE3uj6qCyliqsoryWj5G+kulo+GhEFTGYUw0Xa9MNZUQcjUYPe8tMpGhmhAZh6Sz6s9NSBJXy47FbM36W56QLHNr5qmh9bwp+qSizZfIqNTD4ixLZD4jhLpOTo43uXYf0wxihl+WkaZRDrEoiprACGilSbSmlTe4feMG3/7mNwkh0FnokWYpzTxnMBhFKwhjyDsd0iTh1MkTDAeDSJaUFdvbO4zHYySQZRnHjx1jZWWZtbU1vve97/KDH/wA7z15ltTXpKjKMvo6nTpNkqS89tprPPXUU/R6PW7dukWn16PVbsfsn5CQZQ12qh1OnzrN6uoKKyurvPbaqyilCaHLqBjR7WYEATtb27hqhJGaVi45trxKp9NFCBl9lGT09wpQSys6RE0ACRn49rd3GZoYVCK0isbsjSZpmjEel1gbKMqKJMmRUlFUMbjAeIfSjkQbkmDQMp5LOR3H0KAgyBisYgPUPm2T7FcVdN32o1yeECpKSdXyp3EeojGVxQfqOh/qtXmog0Ym9bMOhgk+zgnmiF0BeDeTWxN1dZ2QeKianLVxHy1DHZwSFzSz5frMVFEIaiKtlksNLpIequ4vnQMfr2sSZemJmTpapxAEzju8K6aZdTZqG87wJneY9JtkUM7M1+uMETPLkPqofFTe3zJZkB4Fz3gwMPc+h51FYL6P5V7g8sMd5PDL9wrweOCH+jD3NH/tD0CozH/knviiuPP1oYyRe+zzGMpdL+meBMwHsIj5Fw/Ynu5G8N11G3dpYw/Z5j4Mz/D9Ku+23h4lKt7LY4l7vT76mcBUPz0Q198hAskQPUekcehC4IaQ5AqbCXxDM256SB2ZdFTKoIVDSY8KEo/HhxjEGuaylya5JNO44PnLm8Bmc21i4lEy35yP1t75OzrK0d6tHG5fot52Z5t4p2/qaKv6cJXHSUvdeZx79TLhyOtDRHY4vIMQIQbfiYCu/X+VckjtEUkgaKKdc1yGxIyRCfQwgSOkqH3/6pNM33jIMftoMMe0vxW1j8nctR96tHP9ujgauvWI5aHnG/c46+Oeu7wX2XJ3HPI+1/uIc4wPNTFSlEWUDPHR/NLWgEplLSAYjgu8dzUZYiFAmiR450iSjLIsiCR4iEa0iAg4VQ5E9DrwLoDUiESAiFGyMKk/0dxTBDFHR9bbbTTgFC5KTUT5iMlnJEG4+jMO7wPW20iShIAXAhNSHAkJUFSeIjQIIsX5QGUVw5HFDgoSBbsDg3WBoijY2xOU1RCLIN2quHFjk1Onz7Fy7CyVhfF4QEBz6dLTVGaAVJIk1RhjoiCEiF4pvgYe4qaJb0ogbzRot9vcurXBRPs6AlWBwWiEkCrquWsVJV0CceALIKn/FzGDRKuERqMFIgIGCklZFpTlmKoqqaoSIT3eVwxHe5TVAdYYKheJHxlplui7JEFLSDOFEBqpQCtJnmc1kaBIUonSkkSnpIlCS4lWMnodCOI9+hjZoFRAChPT9dIEp3P+8x9/i8sb++wXgc7iCh//wld57eYWSaNLZ6XNoN/nYHubdtLg2OICrYal2UpYv7VN0mqS6F1CAFs5JJo8bXFj5zajwYheYwELvH31Kgu9BqdOnWBlqUe72+Zgf48AnDh+nNVjkixvkyStmBWU5YzKgrIqaTZzlGqS502SJKPV6HLu7CVAkOiEvb19imKMkJ4TJ47z2mtvMhwO2NzaZu9gyLmzx/jYx89w5tRZGs0GWaMRo5RlNGv2RLC/NAOUTAj9fszY8oE8y6hMJDryLGU8HlOZCiUF3jmcj4Sdc3F/ajPbIgSuX7tMIhWrS0+jmk3293bjVClESShnHUmaEjOvKoQUjKoxW6aiVfR546Wr/Mz+l6ChwY5QWiDqDCgZUmxlCd6gU7CjIT44XCgROmamaKEw3pHqKJ/mjMFbR5omBCMQaHTWAisIIaOoYDSu8LnDjkpcUWHHFdbXMkUm0Ol2aTeajArLqCzqCHaPF9Ffw+PJMk2WxWwprQSmLLBViTMFB8UQY4qo0R8CNgS81MhUUAXFieOnSDsrYBK8HjEYQt4UCJVgbWA0GlOVBcYaRsM+43JEcI7KOgIC60KtABMIPj7fZqvNExcvcjDos7W5xfb2Nrs7u1y5coUsSdnc3ODE2hpvX7vCE09cZGlpiSTRbG/t8q/+5f/ExsYmo9GIX/3VX54bX/2UgGEuLkOqKKN17fp1zpw5y5tvXmZnZ5djq8fY3TlgMDhgaWERU/U5troQ5bsqh9MeHPTaXXrPLtLf72NKy/HV46wsLbDY65Gnms3NmyRasrSwwLgERM7CUhdnDe12lzTvcv36dbpK0Wx3CYXCecmoHJMlKadOn2Rz5zLNvMXYGE4eP8Xa6ho765tkKmOlt0wxKvDWRePoEInl/cEBaTtH5JIb27fZ2d0FqbDO02i3GQ76pFkDqWPU/CRbxwfH0vISw2E/ZjDVgK1INMY6nAgx280aXOWn/XNwcXLlJxOvAFVZUpgKZ2M2o3Mx6xFqc+cw81jQWk99EpybZTwezhDhEDFSB71P35NSTjMvlJQxGn8y4QvTijCdG85nkYQwWfgflsiaJ2jiwuZwdstE6guIQQ4hMBoOp+Pz5NjBO6rg2djaJMsyms0mzU6H1dVV+sMhP/vVn+W7zz/Piz/4Ac1eF+scnU6HtbXjXLzwRS5euMRCb4G9/T3+/f/8P/NH//H3yZuxX8zSlL3dHcbjEZ//sc+xsbnJjevXcM5RFAWj0Yi9vT2eeOIJhBBsbGzSyJvs7uzhfSQnFxeXsMZTjvs08iYLC4GFhR7NZoNOu83pUycpq4Jz504hlSBrpCSp5vsvvMDt229SlWMunn+a/+V/+78iSRISrevvUZDphCRPGY8LxuNx9JfxHmMdb776GlsbG3Xwh0QiqYoK7yBJMpaWlkjTBkInVGX0SRJSUhrAgFKexBoS5UiUJk8lwXiqUOFMyfJiDzPexFZDnDPx/JUha/ZodpZwNsWZQDASITzBR7kFKSXeBsZFlOFKUh0lT+sADYEg1PONyKfERXxwE4GBiVdOPe44NyUVwnROI5DyMAE3eWbA9PhSiek4FAkgQVnFdqVVXJVbUyEF9fwlBmEoJdEqI8tS0jQlTRMmfiYRG5yQkUktZSim9zNrVxPyZ7JN1JlATK/zo/JR+dGVuyxGJ6DrXPbIh4YcmZ38R3De97C8E4Fxtw88MDjyDs9rSoDMHfcoKXI/MPcRQJUJYHqXg304u825DK3HCVtOjzT5rh8LOfgBK+8FKPdYy+O8vgc41pSLmK9Jhz83bfqTF4HpOnEK/PqAsAFhPKoQJINASAW2qagaCaSehjI0Ek2qHCYEVB0QKufohsOY98wMezofmr+2ue2Tfmde6qoO+4tdzKFj3stHZP4c4dDWw4+sztgl3Kc63XmsD3rNm5R5biB+H4+3l3nQMqsTh+mpo1xedC2OMlpKeLR0JDoq2qAjMeJrYsQrppVMzkleCR+Dz0W99j6U3XHobI8QJHCoyoq55Mgjxwqzh363U/xI68/jyN59P/vedzjXZE4Q/kshRgb9Ps7FxaN3RI3rOnrWOUdRWSDQaDYRO/tYa8mTnOACWStlVOuhK60oKwNSUjkoipJiMMZXBoLFBwc24IKNYJSPjSaae7p68RrJkVl0bfxBqBjhN5EkqRe3vl7Uew/BB6xzOGOnRpxVUDgnUR4q4ylVg6oMBJEwGnv2D3Zwgy20dIyNJ6DAB4K3ECyFNSStgr3+kI2tA/YOIAiND45Or8nufp9Ws9b9l5JgDd5F009kzGCJxuuzzj7g0YkmbzRq814x1cD2ITAaj+J+wSNVXPRLIXGBmjyqgS/v6/Q2SbPRROkE5z2FK8F7qqKgMhXOG8BRlgPG4wRJSZZAq5FHEEgptJK1BFOU1mrmKaqW5pIy+mxkWYpU4ImZQ1IqlJwwtZNOlhrknw2CogaNIYKyr7xxnc2hoLV8mk9/7qvcWF9HpS2C8ghl6A82kd6z0l6hJRWu2GVnNKAqo/halnXI8g62dJSjgsHBmG6rw8/+9E9FiY0AwgXyTKPlIs5VNJo5SZaRZQ2UTikqh3WC0dhSmqhRvtZbpdFskDebKK2x1mONJ3hFlmmkiBIxOknodnuMxwPyvEGzmTEej/nil75CZTVZ1gCdU/hANSxpoijKcfz+pSDRKVInZDKFAM5G4EkhOTg4gBAoq4LR6KBuoWH6DK2tpmCmcw6tNa4qEcDnP/Mp9vf22NleZ3V5GYmhKqsISilF8I5yXEWPDwRWemyoMApkQ7F/fRd/cwPxTBdXHSCCpwqGygo6zQ7D3T6tVo7WULoSaypQjiSJKb3D0ZC0s0SWRCBrsbdAqjX9/QN6qSL4wGs/eIWG1CwsHYexodWR9PI1AJpScHxhgbZxpJ0cJSCTjnYuSdOcZFybNAtPiUZlHaS3tJsZ7UYDFQJ7O9ucWV1iqddl/dYNBI5mowEInAeEJqBZOX6Cb37nJf7gT1/iwlOf49LTz6GaS7z48ptcvfImlSnZ2tpmMBxSFQWDQR9rS4SKvh6VMezv99FJAyki2GdNSZblLC0tc/HiJdIsY39vn4P+AUpI8kbOL/78T+CdY339Vp0pcprFxQWs9fzFXzzPf/yPf0C73abZbPKFL3yOEyfXkMzmsrGtxd/WGxCC9Y0Nzp49w5NPPsk/+7//D7z26mtkWYJzhlQpnnryKZ544jRJEj2ItFZ1Romn01qg2WjTyBpomdLIcjqtFi98/7t865t/RrOZk2pJI+vQbq2wvHSMbq+JsxXFuCDRsHr8dCTuPHS7i4wLgzWwsrrEk5cu8tJLV7GloZU1eerikxSDERrNUm8JW1oUKka1oxBKMBoPkZmms7xA69gCiydWefPyFW7eWmdzc4vb2+s0G21EKmt/pBjBLwWcP38W5xzGlXhclLwKoSbCKwhgnSV4F4PaRYjcvVRYF+X5vItZIkVZTAmCUBtQ+7pPU0odIjQmBuvzhATE8cpae0fGyORbnK6x6iyOCSEyAaEn5VDWR535NfnMURP1o4TJzGw9jinz+01InRCiQfqhYzkHUpLmGalOSbM0GpQnCePxGOcc+/sHKK0ZjUacv3iRt96+ykSCM00Trr39Nj/9Ez/JyvIyUkr+F//tf8Nf/cpX+O+PH+cP/vAPOXPmFIuLC4zHQ5YWF/grf+ULdDodvva1r/Enf/InJEkyfY7NZpNLly7x6U98kmazxfe+9z0uXrxIVVWsrhzj4GDA5beu0Wy2qSpDq9ViPCqQ0pDnCf3BDt3OKqfPnibLEzrdFtvbN6nKAXmacP7cSS5dOEl//yCO5yHKOjnrUBhEGmjlTXxoIaTEOo+WAmE9WZ4ghMQFD0GgpGZlZSXWizRB6wTrHO1mG2sdphL12thijMdbjxMWX0G70YweG9Igw4iPf2yZM2cucvLEAmVRsbFxwNf/+Hn2+uvIZAUdcvBiajTusZBoQNbSVaIeyz3ex/mDD/5QPRE14DXJJgnBE5BRMrCOLptEmbkQCZhIwk365Oj7IaSMkYghGpxDPKe1lsqUaK0wpohZpTLKsWqtaeYNmnmOSzTNLKfVaKATNa2faZrUMqxiVnen6J1A1nV4+t5kKhlEJIxCDEqZLhPDpFOdtbGPykflA1NmFXj+z6Md42HK4wB056/9XR/rHa7//QCg38393O/65493r/3E3AtxZL9DnxF32fYYygceFH+YchhEeyx3dgjMmyNF/rJwg1P1jh9xPXjPr+FdEH73aCPzVWOGWNeEiIhBKEJGM3ZVCvRI4jOwA4FvaWzuMYmmyjSVcig8VkhUiPMZL6L3yJRAr8mHyfRmCmDXr+cNzmcuvvW1TjGq+TJfge8DcM8RLWLuzLNncATxvu9gdpR+ea8a0eM/ruDxxCI8+CFm5Nb8Az1Ka82OOzNdF0S1HSkCSnq09CTaoZXH6YBPIEx+aj++uLSpibWJT2GddSR87FunmRshHCLbpv4j88tYMSeBdcfXPrehXpdMM1MmB5ruf5fKFA7XwwcujzLehft41TyufmuSLPDuj/Tuy0PczoeaGCmLCqmidFDwAlcvbH0IuNpDIsty2q0WSZrECFoiWNHIc4ZJ1NZGSMZFRRAanWT0hyXXr68TbIEUgcoanIx+BRF8iX+d9zjraqKEaUSf9xHE8jZgaomIKcA0qfh1lGL0QIgA2GTRDgLrI1GRhATvJWOVYL2M0j6FZ39ngDBjlLSMK4/SKRKBtxalJEXlqShIdMb6+ibNFqRZm6osuPLmW7Sbgs9/6TMY66JviogGqC6GYRJq8AoZDUCRkQhK04QsSyPAYi0CRWUMxo4jOF4zsEqqOjNAzEUP1+BF/TyiNFcjgmQETBUBrlAD8a4mnrRUnD69iqYkEdFgPk3SKFEhFVoKEh3luHRtIOy9xXtb67crhAg4okeIDD52hvXzFiHK0SglkDpedwgOoRKEziAkOJdwbX0Dka3wSz/xU2Q6o9dsMSoH7G7sMKoGDPoHdNMmu9ubHATPaLyLTnXM+CkH5HmH4DVlWZHoFCUdWQqtdhNbGUCQqASBRIaAUJFx1kmCDzAaF0iV0e30OH1mkWa7i9YpPgTGRUFpLEhN3tAkKgVUJEmsxxiLs4bdvR2UFvzg5R+SNzLKsuTgYMip0+emUipvXbnG3t4+58+f5/yFcyglai8SixsXmMphjUMSsKbgxe+/yO7eDs8+8wzPfupZdnd28MFhnSWGtDuCN1gfM3uCCxhTk4Xe851vf4vNzQ1WV1cRrmLeTFlZFYk2IQla4k30BwHDwBryYEmqwLBf0ZI51iuCdRgpMF7TaS5T3jqgtdSkLIsYXU8k6rwDE2zt++PxAcbjkvG4pNFcRScJQVSU5Zi33rpMp9FENhuENIKe1lVUwz3wK2hpSKQhERnCjJHKoV3Ak9CQHiVTJBHUa6aSohojTIn2llwqhqMSXxouXjjDG6+9RLfTYTQaMRwV7OzsMCwMJDnonN1ByR/98Z/i/+Qlekt/RKd3jFd++CrrG7cRIpDWGWDU/dTHn3ma7kKHYjxk7dhxXnntjxEyQ4mUJJGEYKMfzc4+L7z0Cr/wi7/I2fOXKIqCJ598gieeOEWn1UMp+ER4svYcid+fUoqXX36Z06fPcuPmDd64fIXrN29x4tSJ2TQ2zCa0MWJbIiU4LKPRCO89P/aZz7GztcXa2go4S3CeY8trtNqKNAtkWYJAkWcNhNAQBMNBNIX2Ntapa9du8LWv/XvefON1nnr6CUTwBKcjgdJI0EIjpedgb0gjbeGNpLAWpCVPG6jgKcqCwe4Bu5tb3Hz7OlnW4q9++cscX15lsLdHt9mikaSU1uC8w4YolzgoxmzvbPP0Jz5GvtREZppxUfHJpQU+ESR/8a1v4195hZXV4wxHBcaYmMUoAkIEbt+6RXehx87+LgQRo8wRlKYiiJjpGJzAW7Ahku7WmjpzREZJoPo7MXXbmXgihOARNcg8NVWfm0hNSHvv/ZTUmBAjk3Y4T6ZMJlSq9l2QKso2zWdxyFB/ZrrmDrXJNEwmh3GyK3CC+pgiZog5izUmZikIycRbYeojEWJmQZLESPyiKKZ1UesondVstWg1W5RFibOOfn+IsSY+M+8ZDEc0Gg3+4A9+n3Pnz3HyxBqDwZBTp07y3e98h89+5jm+9KUf4/Llq/x3/90/4vd+7/f48he/xN/6m3+LixfPMxwOSdMEY6L59u7uDt/73nd47rlP8+abb9Dtdmk2m4QQ6Pf7/N2/+3fZuLXBaDTm3LkLLC4uoZTm2rXrvP76W7z51mWyRhO842NPP83i4iJZlrK4uMD+3g6J1uzsbLK6ukRVStbXbyCwLC8ucunCWWw1gjpbI5EagUVpiZIxk8H4Ci0lQsYxQQFpkqFkNGsnCNI8Zg5tbW5yfO043W4bpRWNZhrrlVFkSQYkeFdh7QhrS0prKZ1hd32XLIGFjqTbTlleWMC5tzl+us3JtRNY8SSffu4i/+D/+j9SlQLjOmTN5Sj9pxKsD0gV59IJcT6ihEApjRduStzFOhgzVX2opTLrII2JqboPHmsikWiMq+U0ZT3WO6pasrEyBltZvCBKPHiL85YkTWnkGa1Wk+PHllhZWWFxqcfK0jJpkpAkkdBI0kh+OOvw1k7lriIWOCM8pDw6K5fTpjBb+k36yfpa64zcENx0ZRETkxWID/XU/aPyoS/vAINMNVFmmVDvLUT5IUN039fLFVMQ8vGc8x4Xf5QMmX99FGiZB0wOZY88ruv7S1QmyOX9fHweKLJ5DtydR4APfXZGwnxoyyxM+0d6Ge/L+Y+e4kFOeU8y814frucxk+CpECI5Yj2yEqjCo0YSNRKIoSA0FLahqaymSiyJVLVKg8AhkEHghUDNHX1ieB2OXIKYmxfNAOUjwHqY3za/z+T4M4D7jjYzl50Sj3CvDJN3KpPjv7cNZ1qz36Oq9W6GpQf63LQbmycA7nEz9X6TdaKsSRERPLLOGEmUJ1EOnTh84vFJQGgRs0Y0CF9DUPJIpxfmTzKTZxNSRDtoEb/Lqb/hIWbkUHd8F45nrk6KmUy0OLrf0Up2v0r3XlQrMZel9V4U8R63hqPP7n7v333DPcuHenWV5Tl53oCJvjTUpEgAGaN5tR7TbDajVIi3aKmxxjKxISDEKNqiqjDGInTC/sGAK2/fINgKgaMoKywpTiQTbH8qy+D9BCyCEGYm8FGf3WFDlGeKHXsErySxocdskzAnNVMvqkXAhQIpaqNomYKIUZTGWoIDrTO8jb4fmZBkeTMSFTpqnB9b6EGSURioyhGCAc7EiMvRKJ5HC41xJdJTg3S1KamKwEOYkBqCQ5H+aZoiRASGJZrhcEhZDdjb3WOqPR9c3bH4aNoVZOzggqtN6iPgkdRm2x6JdTaCd0mKdmk0Sw+ePMt44sJZpB8SqgKl0ihtIUQ8VphleCgJCIvD1dkz0Sw3atbYKTgtah+FUNPDUiqE0iCjzJdwHjw4CzJvIts9Tp49RdJcwVR9drc2CCFQjfqsdpts7AxYPX2CXCVU/SG+tCzmJ2h3exSVx3kYjgo8gt5iM/psSIezlq2dLQbDPdI0o9lcJFUxmt85w37/AD8qaHe6XHriKdZOnEEnOaAojaMyjiRJ6IWAF5KishwcDDg46LO7u8/+3gHjcTkFPquqQCpBkkQPmWarSXcxZ/X4GZI0ByE4d/4Sr732Ojdv3iTNUrq9NuPxCO8cWmmEiGaywjtSGfjqT32FheVFqqpia2sTgmU0GkZQ1ttIhuCQwRPqyPJEp1hT4r3nwvlzPPvxp6iqir29/TpSOHoBGWdi1HCi6joTKKoCoQJK5ygFYzRXbu/yDJcobYowFpMqDgrHQt8wLgUrzUX6+1sk6CixhcT6gKqJp4AiSI1HUBoTfQ+EwEnFtc1NQqPBWCiMNZg8J2+kUGownryR0O7kpCOFlJZ2KyENYxQjtE9xCDTEuqlSChmovGG4v0d/fxdXlUgv2Lq1zqm1HmmaYm1FZSwmBCovGYwrxpXD7fUJKJ752CdJmssE2WIwdNy6fYtEQmlKdCJq4DxgjccHTb8/xvmK8XiMSjS7O/s08x7DQRUl5pTGmAHH105w/vwljDGsrB4jazRYX99n1HEsdLtkWYpSoHUU4NlY38J5+K3f+i2+98JL/Kt/9S+5cuUqn//8Z5nQvD4ElFCx76tln3wNGAc8Ozs7+OC5dPEiKytdLr91GWsMZ0+eZXExpzJ9pBJYC86GWutW0sxbZFkDbz2mrLh54xZLSytkn2iwt7NFlmXcuLWBDNs0cw3uNAuLXRKZ02z2sEYwsiPyZo7wCb12k25bkKVtfvonfpqvfvXXwGvK8ZjNmzdJVUK70aIaFVgTZ0/GGNCCrZ1tXvzhD1i7eJp0pRXN0KUiazS4fv0Wr77xOs1Ol4CMn0FiTAkiytCNxyPGZREJTOfYP9if+sBYa2MGGNFknFoGyFpbSwWlhNq3YeILAjF6fgokKzklDmZeBTU57x1uzo/Be18TN3WGyBwh4b2vM09m2SZKqWn2yWQ/eST7Y3KcyTnnr00KpjKYEmIfISXKqziRlgLELEJ+kr0yT+50u12yLKt9jCLhtr/XnwYlWFOBAK01SkU/lTRNaXfajMdjrLU8+eQT/OZv/iZ/82/+DXY2t/jd3/0fWFpaxjnHiy++yPPffp4nLl3iZ3/uZ5BS0Ot1ee21V9jZ2abZbHLr1i2eeeYZ/tpf+yVu3rxNnuf0ej12dnb4xje+wcVzF2k0Gly8eJEQAhsbGzz//Hd59dXXeObZT2Cd4dL5CwyGA+SWYHV1gVarxRtvvIH3hqeeeZLNzU2MXaC/3yfLMrIsY2lpAaUFeSMlWIvwru4/YyiATjTexEeoEom1ob7/bPr8lJJoLSiKEYPxiDNnT7GzeRsXooSWcw5bObxLUCIh4DFmjHcmBjpUHldaeq2MK1vrHOx6FhfO0eqMeP2HlsX2p3F2i3Mf+wS/9Is/yf/4T/+/pPlJRoWnMJ6Ax4cKlcTZUWVdnS1BrCshRn0poeJcSMQM4eBr+a2aCLHeIcPkftS0vkgp0UkMOoDoE6OUptXMSXoJSRIDPhqNnKWlRXq9LouLi7TbbfJGzEINzuNcDLYI3mNr36eyLBEIdN3+IM4JJ1MhoeopTz37E0dXtTLOjealsiZyWrPos5n/T2w3H+qp+0flL0OZk/m5+/vMEIR32O3dX8v9jvSQQO+0fb6XALG4/40/TrBi8mxqoupd39P9nvXkvbsgeHdEdt9BiDwmtO9HjYe/F2XSliYRJfOBx/f9XL3HlE2pyRHu0nan7bn+/j5sslqH6tOPuBI8EnL9Dn3CA3z8MPl45P17VZgjn7ur5My076hN2IkSoKIKKBXQRUCNRCRHxhJXRmKkdJpMWpyKag8uCJSYxP7P5jmOGATjwyRkJBzpFyYkyFzdnVMzOXRj9wFJZ49gQvbc+UyO7nPvgx5+767ky0OXe59HcPirepw1fB6rv+szfahy9B7EoVeT7mUa7PNO1yWYSayFGEioQlR60cKRKkeqHTbxhMzjUoFKJsSIAEddZw/f5axSxEonfE2F1B4k8/ObiXLOtL4EUXfHNbFytL+cjrmzfjdM7qG+hulTCUc+c68H8bi740mQ/vuRXfle9Mn3IpiOvn+v/+9TPtSrq06nQ6vdIfha3oEIwthapilmYUgazSZKKkpXoah9REzFZAGqdcp4FDWwG0ozGJWsb2yDMwg8lfXYkIPM6gjWSfRqjFCM0gswT3fHzAePlAGlYjSikGo69olQy18BQqjpYjeCVjGjIU0EmAQhG9BosDU2bO0WSAXnz51FmBZKlOz1R6gkZl4084yqKFhYWcAKRRAZi70WxgpkTZ9KQEmJrQytdiMSP84iVS1dIRXOT1IZJZ4ZCJWmCc1WTgiBsqpQBEQisMbSHwymOvRVFSP/nSdKUgSwzmGcjX4mPoBTBBzOx0wHlESopO78FFVpo1SHMZAkNKyi8Ia0zgAJtWSIgOhnIgQiSCBmhUydDSbAnqtbkBRIFQ3cQ93JWesIJkqwJGkOOsG7QGksg+0hO4NtLjxxAY/g9s2XaacdFtuL5CFBCsHawiJBOnQC7eU2e1u77O4csLU9ZHF5lTNnLzAYjxmNxxTlmP39faTyOGPJkpSzp8/hQ6Ayhu2dffKsRavV5JmPf4qLly6ycmyVNE2oqkBpHGXl6Pcto51dNjbXub2xyfbOHoNxSVVNpGXiJFcpTZpmpI2M1bU1+v19er0u1lq0VjRaKf3BkIOtLYbDEWnWYGGhS6vVIARPMR6ilUQnKd45qmqMNw7vKmRwvL5+nbeuXKGqSs6cP0ev10PrCACLEKh1yqJKvAo4ZyhGowhSSsHe/jYbW+XM68DH71AnCa28QZpFAM8aR1WUaBdwxjAeWw4UNJeO4TvL3Li+zf7BgBxFpQzbByOE2SZvL1G4hP2BI3UeU3pUCplQaATjUUneVezsDqhMIGu0GY5Kfvjmbc6fP8aNwZihSChGJa6K2VQ2TUjaC1T7AwaupPAlEoevAq1OGz3uo2Tsk6SImU/OOoxSDP0A0YtmdFJKXAisnVjj1IkVPDEKeW3tBG9fu45OGqweO4n1ihu3tnBhk8XFRb7whTXSxiKenFdfu0wiPBvr6xxfW2F3Z4OAQusG1sOrr79Bt9cibyg2ttcZ9oc1MRwH+lajwfbuPqPRiL/5N/82rWYDYzSNPGdvZ7f2XamwVcmZM2toLaMOvxRs7+4A8Px3vodUijNnznDz9gaVsSSKKNNXTzzw4CPLGtuoVAz6I7rdLlIsUVUll996g2I4xpaWvZ19EumxbkRVlQQUic6iTJ8z5FkDVxkEimazzc/9wi/yS3/9lyOobw23b93i7StX8dbTzBOUcrFeFhYpNO32EtZZms0cH0qEipKAWmV84hNncTbhYG/ISy+8iAyehVYTW0VPASUFo3EBSnJr4zavvfUmo6rkT7/1TX7j4n9DO2tQVpbRqOCVV15jZWWNza0dKjPAI9BK02i2saZiNCqizFNZMBrHbJI0TUl0RlkZitJQVWY6p/Le4YOvXRdACANhMpjPUnfns0OkjP2gJEbcEGrXqDCJxA/1eOaij4kzU/IhjnmzOZ3WkdCekCxyMverAwLqkXHa787g3ggYi3p8lHKWCSIn/iUQidFE4JXHeDfNAJ3IfU2yL6215HlOp9MhhMDBwQHGGOwkch9VZwsokjRH1ZmJzsWsEaXU9FqyLOGtt97g1Vd/yNrx4+zs7PD973+Pne1trPW0mi16vR6vvfYazhv+yhe+QCtvsLO5iXWWbruFO7aKt5ZUa46vrNLtdtnd2uY73/keX/nKVxhXJbc3N9FpzrVr11hfX8dYT95sAoG9vV2+/1If6y0fe/pphHSsrq7SaDQYDkc8/+3v8eSTT9BotBkOShYWVsjSnDSNwH1ZFHX0TwzOaOY5pTEEIUjShMnSamtnm72DPbz0SBUlpCL5FLC24ue++pP8b/53/1u+9a1vsru3TStr4IOn1WyQpkk9FsT6lWYZWdJChpRG0mBt9TijwQ6vvfI8t2+/gqk2uX3Ns//xJseWu1T7A/76r/wKhelh6TEuFaPCRClRXxF8JBqKssJaP83MFUFM/dwmZBcC0lRPCaI0SUjSlDzLyPOMZisnTbNagi8SYsGDMTETSilFp9Ol2WxMjd8jQWwwxlCWZQzOcA7nY4CFdxZXtxklJVJpvIj9uLV2rl5LgoivlZZTv7ZJazgkBybu3DadQ04XXmKazXUHsfJR+aj8yMo7rNjnyZGj5X3DXR8V6H0v0Igf4anv913cqzwUocQc8CMO/R/eCdH7qE9753IUbDv63n0RxvnPzQHNd7SLuW0fyu/kR33Nj0huPOxn7rr/0XMf+f+e55jDrY5umv9MiABzwIOQCOeRVkDlUAWosUAPBaEl8KWkMorUKYySuBB/VIgG7B6Bq4NTp6cJoISfXUMdDDPZQxy9nCNVdEZmTPI+ZgeSU/B0Ql4cbjD3IjUOHekBvqN3U/selFh5L2v45BnXq4hHOtvke5jdzeHjHKUn7ols36NPE0x8RgKJ9KTKkmiLTBwhCYQ04BOBS6KfiHDgg0CKAG52BWISTS9nV3xPcqQ+c6gDC6ZVaYoDz83L54MP7uh3Z3cxzUeZPpB3GGzv91U8ylxB3OMBHz3mfYjGB6se73GffK/D/5dKjOR1xkj06ZgRIzrU8iDWk+cZnXabNMno+yE+2AjSVpZEaYqqQGnNcP8AQjQid6XDeoGWUa87TQQaTRAxslqpSdRfzbjN65/LaEA7eT9NFFoLtK5lR4KvQaMwZ1IrUTrKHymtUQq8HJGmCukaBJrQyNHru2ztXMNUY1bOnqWTNSCMCDfWKSpLnqYsL3YpC0WSgK3GZM2MXjfn9u0+SUMhhcCMR4z6A5wp0bKJM5Y0SXDe1rIlE1Y3ypPFqOIoTaa1ptlsRWkIAb5+TynJcDhgNIxmq8aU6EThnMC5gLGeylhKU1GZMmYDlAFrTcwoCB5QCDkxghdUlatNYUt8WaCkR4aYhSCkipk4wdWEryLIqJUeI0gDboLHxnE8Emg1GBxqeR/vIQiJlBlKJ3iRMByX7O1tsrN7wGBYsLU/pLO4zOLCAtY5Mp1ih4b+ziYCTbAG6wxOOIwSVNQyM0IyLMasv/oab1y9SrvdpShLpIC89j0Zj6OHR1UZskaD5eUVPv3pZzl//iLHjh8DGYGi/mDE3v6Yre0+W1t73Lq9xfbeHq5yCCXxgPWBECRapXUEd1pLn2VTPf6qNLSabfZ2h1hborRiNBpgrImm9GmGdxVVFeU7rC1xtopyS8Tu3DtHsIHgo+F4mgTOnzvB2bPn6A+HjEYj7P+fvT99siw5zzvBny9nu2tsGblvtVehgEJhI7iCFElJFMU29Sbpw5j1NrKZL6OxsTHrP2RmbNSS2bSNJNO0WWPUo251a6FIggRIgABEEEvtS1bumbHH3c7qy3zwc2/cyMqsyixUAQWoHMioiHvP9XOuH3c/7u/zPs9jBPOUWe/B25DFLNqA7Nzs2RhDnEYgYpwLPhLOBRZHmnbQOqK2rjUrFnSHfdRYUucCocH6mjzW/OWNd8hqRV3O6MuESljGRUWs1zh/boWvf/N71NMxXakQuJDlkrrAfpAaFRnGsxIvIyoLXkXcvXvAnYMtDsaH3NraoyprukmMyHNODGM2+h0qn1NZR+MFTkicDeNaRx2kkDiiIE8ndJBHiVKkTqmkxAmBiDXjYoa3DVmmkVGHM+fOcev27UA71jFp3OHO1i53trZJuxkXLj+GkA5Xl5RVwcXTJ/nf/Z3/lK/+8/8vV2++w8bmBtNZhfcxSsUcjkaUTU4+O0BpH+bFuM90PEZKwdbWlCzL+Dt/52/zwgvPs729QxInmKaiMTVWScrtKXfuNBib88TlS2gJDsF4PA5MAODGrVusbWwwmUyYzWYMht0QiG8XDM6HceisD/91jt3dHf7KX/lNtu68w0svfYfnnn2Mi2ceJ4173L5xh4PtO6jYYk2DF5put0en0yOJE9IY6rpBa5jODri7s4XWgZnirGU8GRF3MjSSSIOgxjlL3E3RMkN4jTCGxnmECl4AUkrq2mFmM7yNeeO1VyhmY1a6fbxtcI3Be0FZhDlsWhZUpmR9c51LT13m2q3r/OEffo2nnnqaoqz53vd/wP7+CB0ldDs9xuMxxliShFYiTqBVxHQ6I8lSkiSl3x+wvrZB0xh29/YQUpFlAusa6qqiqitcy5KbZ5mHNZ5HIhbsjfmYDx4HR8/NBcCw9NyaB12XfUbmf8/fn7ND4ihCKnXECpn7mLT/5oyRI8+EcJwUEiQLH5L5Od2SRFJgV4ZijAmEQGsRgkU2fqhSLAAa5xzT6XQBiMyPS5MkMEeNxzsw3qJ1ANGUEot50VqLs8Gr5N/+m3/DmVOneOUHP6QoCuIo4iu/9msYY/nTb3yDwXDAa6+9xqWLF3jqicfZOHGC733vL7h69SpPPvkkzjlOnz7N4cGYra0tvva1r/Fbv/XbbG5u8vU//VNe/NznePWV15hOp5RlyXQ6o9frcfPWdbrdLsZYzp45w3DYX3y3g4MRxgZT9qKoGR/mpEkfScJgZR2pY2rjwliQkiSK8NZSt6wf7wCp8AKyTkZZVewe7oNICNYdDmcdwnqk8nS7KZsnhvzWb/wq3U5KXRVoFWgPUga/H+dNAKvw4BXeSWKVUc5KNjYHnDn96+C+DL5kPNlGNDOKSYT1CdSeT336BSalxHhNVRmiKEYhApOy5dRKoZFKLwXVjoCxuQyjb7dwxhjqugqMWu/x3oTMMhWew1IFmU2pNF0R0xiDMRYwVNWMqqpavx8FrbSmb9cSUkokApQkipL5wEC0snL4wGLTWrd9M8i/SRn6tWifOQ8qvu3PzMfLUSdf0NzvHZP+/TZRn5RPyoPKTzrgeWz3v1z8/P8/mXDmvd/bL348/GfuLQ9TxwcqS0HNj4I98jDFw6MxTOaBoQf9t/3x045dL5dHHQsfi3n3QRHDY4u8R6jmPvX9TIIiP4nyQfvvh9jvH2ociQ823u4FNhfn46hPLQEkwgpkI5CVQBcSPQM7E7hSUjea2mqMU1gvcYt/Dodkrp8SJEPDiQRiicXhj5KNjyLRSxfrOaIftDHud32hZSGtZbjkyLfiqMWOwylzkOBRhsK7n2WPNl886vk+zCLuadql/zzc5+/z2vuCH+/65P1AhOPviTZ+qnBEsmWMRBYZWUgcPpa4WOBisA6ECwCJQ6A8881ykNea/y3CGtvLAI6AD++75f3wcn9bapn2tTkk9+75VNzn6x8dHf58NxD9aN3ggz6X3uMs74WbPBIw8lMsx5DTh7/Yn2lgRCwyTgEpFokwstW1DZJBwWdER7rt4EGmxziL1ApbWJTSWGep6grf0UglGQ4G9LIUvCXEb1zIZJUqZFkKwZHmZ5AuCaCIaMENhRRBGz7SikhrlGq17HyQjpCLGT3Uq1UUZD4UNCLBOotyXapa0sSSQT9FSYezDThLU5c4W+CMwdYVRsBkbCnyMRZDaQw6HXPpwimq4jZVHQxTtdYU0xGz8Yj1tSGSELRyvpXUsgLnQ9Zj3TSUZQW0VLBW3sIYG0AUQgAsihNm0xkH+wdI7SjLAqUl1tCCIiFQU9YVdVNhjKEqLE1VIqWgaSyi1QcXKCKdYYzHORHkc2qH7CqkD0bDbZQ+9AMh2uxnhxBt+F7MsxEkXrQt7YNfhWuZJV4ovAhgTNV4pqOc0WjKaDKjqhqsF0DEmVOXmBYlzcws9MlpQFqBl1CXFVVTYgXkRYGtLVom1B6SLEbFEbWx5MUMax1ZlmGMY7w/ppNknDi5yeapkzz++OOcPXuW2ngOxodcu3mdu9sjtre3ORxNGI2mlLULQVyVEKddiKFoNfYFijTN6Ha7C/39eSCpqiqqqgqZ936+xvEURY6UnkhLbBPM0Ksq3B+PxzuDaSq8NSjRykF5j7MevAERmEaDQcaNG1fRURQAJmsWKHpQNPOoNrU8yDwdeRfUdR1k4KTGN4YoTsi6PZTSgKCTBTZUYyqEcKSZpplaXOMQyjE4vUGdSuq6pJzllL6mweCkIF1NqUXNy6+/SewkKR6FxdGAbsKizENtUvLSo+OYw/GIsl5hnFdcu3WFg+mUm1t7rAxXyaKG1TRGpAMKA1XjUXEHVIaXKVrrkNEvhtgoAh0jlMBLhXMGn3TQySoHjaMwBqcUca8TpH+KGWeztSCpZAynT58lyTpknZTBoEscqzC3IHDWIqUhVRqP5cL5U/zdv/uf8Y0/+2Nu3LoFSPKiwdgAAM6m05bFU5IlKZFWnLpwhtXVFTZPneDSpYs8/sST3L55gzRNETiauiGKwrzV6aSUhefWzRv0OylnTm/inGhlsKCc5cFwWkLdNExmM4Yr/aP5OXQbrHHkRc2sHPPO1aucv3ABrTUHByOeeeZZfvVXv4ywEbYRmLoAX+N8QZYlKJ1QlBWmMUjR+mp4iUdwMBoxmQZ5oWBabul0g6+Mw4UgqDAh211JrFB4J1BJhvUG14Yu4ygGLEnU5fqb17FNTTfLUIJW41RwOJogpKaoCm5v3+HyU0/w7PqnEZHEKcE3v/3nvP7a2zTGkiQZ3W6PoqwZzyZBqk9A0zjKIieKNN1uRq+n8BLOndjEOUdRVhRFCUikUBSLLPY52yE8p5xr2YoyMDmkEHgrjrwOxBwYEW3W+tIzy3vwDikD4LHI7vQea0wAPkSoV6tgfB9YXnIRTA++Du2/JSP1BdgRnhBh/alAoI7NS/P5WyqFasFS29aFEIFp2a7QBAEc8c4hlSJNU5IkoSiKBUA/L85YatEgVUySBpkkKSVpFtPNOgAoJVBaUdclSgrWV9e4fu0qv/d7/xFf+Nzn+f73v0+/1+P8hQtceftt/uv//X9FmiT8P/5v/3def/U1nnvmGZ555hlGo0N+8IMfIKTkd3/3b2KM4fr16/zhH/4BL7zwIs899xzXr9+g2+2RpVmQk7OWJE44qA84eeokt7emzPIpWdrBY9nYWEEpzWC4Ql5UjCd3uXXrDteu3aTb7SGE5Pz5ywyHMXlRcXA4oZOmCGeZyxQ4BDrSrSxV8PdpjOONt95mMpvRH6YY1+DxKC2RWpKoiG4voSymFLMpTT4Kmr74BdBtncV5i1QexJEv2sR5hJcYGzGuLZEK/VHKdYzpM5tC4zwGT9pZQaQe6yWmMZRlhW0cTR1YuM5BMP6YAwZHW16PX3jnIMSifyexJolV2wejMKLnGx4fgHpFC34oEWS5sOAdSaxIUO0aoR1Sc+Cu7deLvbp3CCnbmFJIevFOLCjpxxkgcuHhslivtD+OMT/mY+jezVHLuPMcgZRhvfNJ+aR8XMp77aDf53MLA977FH9U+0dSPuhlv6uOD6Oi9zvHR1f9+573fW/A0sTWArz3Z4h8zECRD3IxxzKAf7rlAzfl/L76e/7+pLx3+XEi1h/0ow8TS37Xe/cBNx7iPP5+YMj9Dm0TS4UXYD2I1oi9dMQzST0FM1OYQqMTTa00NpIYIVBe4LzALtb2fjF/ejFft3KM4XGEiSxbpC+vnY5+dcwD50dfY0m4a+nvowD7MkDyUbgiPMwtEO/65eejHIek7rlvi3ln7qw3T3N68INnfq8CY8ShpSWSFq0MOrKI2OETj0s8rhIIF/a9wgkCzhGSBxcJDcdMbVrGyNwbEBZ9ThwDLuZegEtZHXMgqf19kTj/wOfnEthy7O+lq/H+4bvDRzWHi/vU/bPSR3+M+fpnGhhxIrA4XDupL/IHPTghQfhF0Ee20ku1BxHF1N6DdUFCSgRgoyxmuH6MtA2rwy7nT2/imxohHFo7kJ5Ex6Ak1tlF0M9aF+QUhERpRRRphGyN2m0w1FZK4gmeIUHT3bYm5L7NLpQ4Y6nqGrynsYairME7ZnlDowSTEhCSBtgZjZjtXUW5ism0wHpLmijGApqmpKoLojhGpob11QHPf6rPjdtjDkdTLl8+yamTQ/L9O/iTq8Fgvizx3uI8ITBhwfhg/ltVDUJIGmNpGodvQoDTG4Fs/xdJyWxUsLt1QJZpymKGVEEHvDEW60LAtGxqGttgGou1YE1D3MpQWFOjUkmcdZB4ajPFusA48XUDmQJraSX0kVq1Ab9AF5JShiCO1gjvkd4ibDAxB9XKhzlQChUlNE5Q1p7JdMr+wYiiMMyKEiFjlMpAKRrj2dmfoeMYZxxlZUJgv2qQKKyDqmnQaYJxFuc1UdzB02ZUW0e3k9IVirIyTKc5xkg2T2zy2Rc+z6lTm6yvr5MkGXe3dvjBD17j1s4uN3e2qJqGsqiQTqKJkELT6XQojGVvOgIpSaKEQb/PsN8nS7s4E9rcGMNsllOWFbVpsMaAD+wZa03oj22ma8j+LamKMpjgGhMmdhsCYEF+LRzb2Dag2m5qhRd442maEq01AhH0/BE4G2SnvA9ZyzqK8Uhca3A7zxI3JngcSByxlMSRJokj0jSj1+0SxzEOT1NXONtgVIS0AjGdobRFJB7iDoejMXdvbbPa65OmEb1hl5NnTnD35h06GZxcW4O6IZZQlTMCIczjLNQu5u7+XZAa5wtUHFFZwfW7u+weHFA1lrX1EzgkjY8oraYXZ+g4Q0Rd6mjIzAtipajritx1mIkIEac0icQJiVCKRsSI4Rl8GWGKgsgasihm7MbkZc7+3j6HviFOEn7tN3+ZTq+L8Q3eGbxzWOcZj6fB50fK4LchJJ1Oh9OnT/E3fud3mRU5k2nB7v6E0SinrCpm+QypPZ1Oysb6BqvDDQb9VYbDIWmaYK2hrA0nNk/S63Xp9WLiOCZJYuJW4kxLGI0nTGYziqqh3+tQ1TUOR5xGrG6scWfrLh5L3RgClCA4ODxkNp6ys7PP/sEBO4cHHBzuc+PGDTY2TrO1vcVb71zhV375C0zzGteUOOuJpCSKNLiYogHf1GEuIJgoN0UdFjqNRemY4XA1sA68p2mCFI9SccvKEDhniCKFJMxvSklq27RAXgDv6twQqYiDgynXr90ikQrpBFma0pQVRVEgpKDxjlffepNRUSAHPU4piZeed27dJi8tloZO1kFFKfv7Y4RU5Hm5YLTpKKLb69HNssBUUYK8KZjOpsGzqarbudhjjW1Nw+1C7kepIxq6JIDxkWzBUKHbgFPwcjLWEkdJWMgJj3OBpSdcWGBKBHEUI5UKkkEevLEY0RBpSZLEgb3Qgh3ee5rW3ySYdwemiBTB6yusBwMA76xFSIF3Fqn0gs03n7e9cwHsE0HGTGiF9D6AVkpivEOESQucC5sZ63BAnQdApKoqvAtG1fgAbqVpShQlJEkWZMla9oXSiiSOw7POBV+KKIoxTRMkm2TE1tY2v/6Vr/Ctb/85N2/e4M7tO/z2X/1tfvM3f5OXX36J/qDP3v4et27f5vlPf4o4SzmxuckXf+FLpGnKy6+8wh/84R/w3Kee53f/5u8hhKAxhpXhgNlsTFXOePbpp/AOOmnG9vYWTz32FAcH+xyORqwMV3Feh76iI4qyoqlr4iRmZ3eXnd1dkjimLGck0ToHe4eYumF1ZUCSaFKiMGcLgfISY124B0JSFDVvvfU2AEqHxAcpBVKrwNKLM7qdDFNXCNeAAGdNSCZog4ABZBD40L3C2r+lo6uo9UEjZO9VTWChKpkFaUx8QNedJVGh7ySJphtHYR3Vgm11ZSiLMiRMCIlQMbL1jfMIpIzCak94hAyAZWA7BXaHM0EGVUsdkmSkwrXya6iwDdNq7k3XAndzO7IlNpN39miTw/JaO/RdWumsAJQc9f9wrFiMTzFvJxGAQgQLVpV37XMSvxRz820bigCssLQf8f6R1HA+KZ+Uj7TMg+CPGjBeDp4/qPgPKujxsNdwHJz8YHW0Pz4mAfMPtTxscGGJHeLFcoD1Pp//WWcjLGf6/NSuYZHo/IE/DyzF5e6p6eexL79f+Sj65YdR53vW8R7gx/1ef0Bdfvn49zpfGyBeGLE7FzwcWhN2HzncTNDMJM0sok4NTaRoEtV6Qjisl2GNL45bnXuC5NHia/nlR4Q/Cj4jWkBD3PNsWP5r2Tb73QHmI0DkCDiR77uoEkdt9a5Xl5po6cgFVvw+Nf88luNTzDKCcA8YsdSu89/uBwnMXwmc8iClpaUjblkjOraoxOITiU8ENgmVCieCXAWEZCtC3EougxJtX1tWTAjr9SNgR8wnXD//SNvDlifiY0kS9wCNczDm2Je9P8DXoisPufY5nnj1kZSfiw788F/iZxoYsVLipAqAiAvSLp4AhuCDDruQgm63Q5YmeOkom5qsM6CoagRBJsq6GrylyGcIhpi6opMozp7cAFvhbY31wYcj0hFeCOomuJl6wEgbNrVtuzvn2oBNQ105lIhAQNPUramtaY1zXRuE1kgpqIomeJ94cI2jqQxEKWUTPDgq1QGhqJ2jcBZjBQpNHCUYUxIpSbfTQUcDbFMSRQqRDTgcVwz7CZMczly4zJe+8CS9tKHcvcve7WvYzgADOFMH2SlUMG52HuMcTWOpa0NZN9TGg/PEOqEsK3ppB9s0NAia2rB1e4fNEyvUdYXSIbvUi7C5N3XTgigJXjREiabf7YNzeNPQSbukkSaKU7y31FaACAbHVV5AN6Upa2Qch0CzlMEkG1hMv85hqirIZwBCBU39IAsWEhzwkrqGrd0D9kczDg+neGQwMSYhUimV9dgGGuspigZRhABckBqTmKbNOFYRUadD3QSpnzhNQAiMcXgZkaUJszzHNCF7/9Klp3j6qcucPrVJmgy4dfMG//4vXuZg/5Dr128wnU2xMZAqhIqo8opEpGhvwAnK0QjVSdnYXOf8xYtkaQeFpJjlzCYzZuOc2axAxzFzsyetY4RQgcWBx1sW5s11OcO6Ak8A4RAWLUUboDJtEKZt23aTusgsdy0zS8oF5r+QXRNikdGLACEDo8rYmqouQ6DKOeq6QiCJ4rgFdBo6nVWGgy6Dfp/ZdMobV15je2eHWEnWV9dYXzvB5ukTrNRDbt+5Tm+4QtbtU9QFSu9za2uX1ZUB65ub4D1bd2+webLHqc0Bw6xDL0mZjEb0uv2gOy8i7u6NeOvGDRIEWgXvgrXVk2xsnOLi5ceYTGcIoJNk2KrGihgvNQ2S3EjEyhm83cAKT6IEnU5G3Vj6qyukvS6ls8goZlZb4u46e2/eQjQVife4OnhENE3NrWs3eOqJi8ETQBgacrzy5PUsgGRCIZQmzjpAjFYKT4T10O32ieOUS5eHVFWD1BFVbajqhqKq8N6ho3mQG4xx1GXD4WiKlJKnnn6CixdPUVeGqsrZ3t1lMh4F/X8TpNCSJOXxy5dQOsI6OByPaaxhNp2weXKTtbVVtre3uHHjDtev3WD77l3qqmF0OMLUlllZ0vggqzeb1axvQNrNkDoCNEqlWFsgZcjuqJ0FoTGNoTZ1AL1bUHvuZxQkoVqD5lb/f76vE0Ig4xi8QMsIZ2zrW2Ao6zosPKxtA5oh2FubmrffeBvnQhA4UQnCCWwTAD7rPG9fu8bOaEzU6/LKm2/zgzfewOPZOzjARwky7dB4gTAWlEIKRX/QRypFlEQIoYKPh7eY2lM1JZUtFyCDx7bPh/Adm7oOjER1ZJwuRWAE4DxRy65SMkIphXEVOtJYZ1Ayxtkg+2OtQSAoi5w0ikjiGFDhmWM9cRSjpUZLicSjpSeKgrxdY00bAPbYkGiPUiG7X8mwxZBzgEPIFogIYAg2eAaBwC2xxRprMXh0K+uloiis8bQimjNWlMK1visIwawKEnDGWjpxTK/XoywqPNDrdNFak3U6LRNFH2OoeO+pqpK6roInV6dDURZUVUlehOdN1u3y//rv/3tuXr/O889/mi9+4QucPHWKP/3Tb3Dq1ElOnz3N3bt3GU3GeAGnz5zm/IXzxHHMj370I15//Q1eePFzfPrTL7C7f8Bw2CdJE4aDHrdv32Z1ZcBnX/gMSZySz/4YARzujxj0h9RlAM9H4ylltYYHur0e08mEul0/CBH6QRRHTCczbly/ycrqgOl0Sn/YZdDrEGuFFkH+DC9bJomntg0H+yOG/QEC2vUMNNYyiGKyNCbLMpw1lFVBGgU5USEExngksmWKHvlmzOVAhXeY+mjDULWsw9DvwEsRmIYm+Lvg2s1v+zxRSoAKSSWdNMJ0NE1tscbTGEFdG0zjsHikDowpRADahRBtsokljjTKe6Q34AxlXmMdxHGMlxIlArPXGNfKryqM90ivlhKC58agbcJF25/9EhokWiq+b9EQKY62Wr6l6y824OIIyJyXsN/3i03Z8RjHUfBNtIjKvB8DRzJ2n5RPyselfBTZ9G1A4WFq/bFHxHJM4wN9/qMCR37cC/sIyzFABI4Hg34OQZHl8jFgjzww3/hhu4x4hAH281o+rn3yYYDjB759v7EX/nPfW/3uBcj965qDFHNkLqAZSONQtYPCYmcKNRWYicKnEU2sqTK9yPDXBOaI90fiVcG7ISTvhASRAFSIdv0omCsPLDF3j136PMDegiw+BNC9CIlfDoFs12liAYC0gEj7mrxPyxzluYS6fVv38WY7eo/Fz5/9WPL9YKB7UnQeua77tc6cKXLUeg/6fABEnAhp8BKPFnM5LUOiDXHctMCIxKYy7NstCCvamxnOJJfBFz+X1w9reo+nJZvj5ZGc7dH9XZr3xdLry2DH/Z4Ly++9bxMeTeDvquldL4jQ//9DnsPfp7S5fA9dfqaBkSABRehr7Ww5l/SQHrwNMiGdToc0TVBCUFcVg75kMh4Rax0CZcaEYHllSZIus3xGURpmeYEzRZAS8sHzAmFCkKgxeATOO+qmOaaxDj4EvIyjqo5M1q1t8G4uP+JoGoNzIdtZSQVItE7RShIpQ5QadCclcUEiyqgue9MGU1dkacL5xy8jzZSmMUynh3RSzebmJkoKqmKKF4bKRXR7Q3Z2S7SEExsbpGnCcJiwmZzj5ddex/canAwBBufAeYkxQSLDuhBAbazFecFsVpAXU9I0oq4NjStRWhDFKXVVczjZY/PUyoJBE6cpSkU01hOlIFUESGobskfrxpJkKXleEqcRztcIpfHW4HwNIuiAl+UMT4zSEuNcCGbKIInVJm7inA3ZzzpCSUXd1AhAKUXTePLSkvVW2B1NuX77DpNpjY4zZNJHqQjvoShrJuOcWV4GsTMZIbxCaYFDEScpxlhUHGGdY1ZWKB0MghvjKA/HKKWpaoMjprF+IZ/1G7/xFR5/7DFG4wnf/Pb3uHN7ixvXb7QSa9Drdjl3/iydbkR/0KHODaYx5LOcu3t7JP0+n3vms1y4dIms16Gs4eqNG+we7DCbFdR5RSwjNjdXaVr5rFRElFVNVdZESjEez2iakpX+gEmd42xNHElq4/DOBIYIIYsV13oFSEJw3LaScQvJnRAcDc+aADJKJelkGeApigLfSp4EiR+DNYaqKKjrGiElWmu63T4rq0OUlEwmE4T3ZGnC9t07fO2P/oibN64zmU7YWBvS6aQ8/+yneerpT7G2vkHdrHLzxpt4VkhigRaSfm+I1gmbG+eIRJd82hBpTaQUWScjUhHD4RpZ1kFKze3tPXb3DvBeEscppnIUk4pnn/oU49E2V669STGeUNcNe8aTz0r2VkZ0XxhiVIxJOkRrm7i6wHiLl3CII11ZZdd6OlZSmBprZ0zygmGccliMiDoZG6dOI3SGlxVnzp4jcwVFPsOguXX3GmkvwmKQWiKlZnw44+TGBe7cvY1SXZK4j1QJFlCRZm9vl5deeRljLFXTtCwvi2nlmWrTkOcFs1mOaQxFXjIejUnTlGeffZooUsFPwHs2NtZZXVthfX2NJ598khMnNsiymEG/F9hBEmZ5weHBmG63y2gyYTyekM9yvvaHXyNLY4p8hpaS0WjE4eGExkNtHdtb28RxTCftkMYxw/6AwSDIBgXGkcU2ZgG0zc2yrQ3eBiHYKKD1GwgA83yPExbREoGXgqZuaB8TCGw7B9sQYJUq+N54AQ5SnbK1u81sPGHY6WGKCp0ki+BxkqXc3r3F9v4+u6NDmvGIvK5ACXQUIZWm38+QUodr8xYvPF44oiQlL3KIANeQl7NWsipIYhln2udE8Isoy+BjMs9uX0hPEYCIYDDuSFONVjKASs4HQNNW7Ozt0lgDDqKox2AwpCwLvKt5/PGL/M5f++usrq7xo5de5c0rV8mLEocI90xLBr0uzgSfmdmsQCrVml4L4ijCiCMzaK2jIK+ogrSQ0jLIKSrV3pcA/lvncN7gTDDVtq1fUWGD4nCSBCZU3AK7pmlQQnH+3DmqquLu1hYXL10iSVNQmjhJcD4wP/AB2HEtEI4QwTy7BYGrOjwPnA8SgkWR0+128d4HhkkSEemIIi/Y3dvlS1/+MlEU8fVvfJ0szXjxs5+h13ucF198ka9+9avs7e2R5zkeT5Zl/P7v/z6Hh4f87u/+TW7euM0rr7xKlmacO3+WtbUVbt+6RdbtcPb0GS5cOsvNG3epa8PKcJWkk/HSSy+zurYaJA/LKmwCbJiTR4eHdLsder0ezjniSNPvd0i0oCwM2ek+nV4fax1l2eAiR6qjsAVwpmV0SMq8Ip+F+1KWJTpKwjhQAZyWKqyXnA0SbcZYpAgeXqG/yXZhfu8qs/XT8H4hY3nMF8PJwGDRLUvDB9EDZOgX4XniF2sjryBSCf1OhPeSqmmo6oraOKqmwVof+o9zmLpGKIUWHik9GgNyhpYV/V6P3oU1ytJRNZa8rJnOJjTGIVVMFGcIoQN7SmiE9NRNiWvqwOzSMUqoIN3lBFImWO9w8w2SDPrFvvWOmzdLiJm5dmPtAytZHLXVYg/jJfOMObH8Q8wTzDxIv5jbhG+zyN4tpv1J+aR8BEUs7dEfYuf9YWbTC3gUs/ClWMUHP6Hgx7v2jyrz/sMI3j7sPXzYsgSAHGOJvB848vNUfhpMi8W4gAeDGg+BjCxAkfv0+w963z5OTJOfZN/7oOd6P/Dj3rfe9zwPADeWsuDvW+/9Pnffc93zmguJpwiQtQMp0LlATSSqq/CposkiiiZCCr9gjSjpse06XbRTvGsVKObB5pC9fySDxQLsWJpeOJrW5lPQ/J9jXm8IvoeA+LxulgCSd3+7OSAyZxTPa5gDA0eh/WV4ZpnF8jEaBx+gLBjO8xeWvs6jcjiXZ6Ij/k67fl66ge8GRe4FUI7+hdivQwm75DNiSGKDSxR1KrGNQrgAiswVp4UXC6BtkbzUgiJztkfA6OZr8rlsVns9PkhtieU5c3mdsviiD2ifY5Jcy689qOUepsyv62cfjPtA5b4g1NLe8wNU+TMNjAgcQc9h/rdvAbmQqRo7jRBqYbKapQl11WDrElNWiMjircNbEF4ynRZBUgXJ7t4Br7/5Ft5WrcmnorHtROmDRnjQdBLUVYNvZUtEizrO9dmdUHhhUDL4A+hIIbVAqaCFLaUkTToorZAo4jQhVhLpSrwriToZ6IBr5y7l2s6Iui6JtebixQ1csc9sNiXSNVkcsb46QAjYb6asrp/gxt09umlK2UtZHfZx1lCUFcnGCvn+AQf7I1KZUXmw3hKc0FXIBhXhGmsbJLaEEKxvrDMrapAe4xuMEzReoOMuiJh+v8fpM2cZjw6omxpjHbOiIs8bjIfZrGQ8nWLxVHXF3u4OxksqY0kaQ6fTp9vNODzYD8bYOoAfRV1jmyD346VCEEzutVTISNHyQ3CNYVbWwStA6BBY9JK406O3OuTaW9f42p9+k1lpGa6doHETkrTL6GBMHMekaZc4zUh7KY31GGPxQjLJKzqdDofjGdZ5msbS1E1rDO7YPzygKEOWdsjqjVC6S904sqzD+fOXaBrPH/zhH/PKqy8zmYxRSnHq1EmapubkZsi2P3PqFOsrA0Z7ewzP9Bn2uqA8LpaMipqTJ0+iow7vXNnh7Ws3uHn3FqV1OKHoZSkrveDNMc1n9NcG7Ozs4EyFdw1lXZOlkkgrxuP9ViZHMctH4A1KCrQKUkMWcN6GQPQSC0QsmTRD6C5xHBHHMdZaaCV0gk9JjTENxhiiKCJNU/r9PisrKwyHQ5I4SN4IKbEeJuMx0+mU1eGQw4MD/vlXv8qbb75Blsasra1R5lPwJa+8+iMGg1WEh+lsQjGbUM1iqrKkqgouX7qMs56qMAz6m3gXsXlqHe8aqqpGxYrJdMb+4QSk5jvf/R5OJnivmUwL+gPNwc6I8cEhL3//h9RmxubJ0+RlSRSlnDx1Hikj4k4fckOtI2qlKb0nS1PqMkcp2N7bo7aeoTNMizE6gbwqOKwLCluzu7/L409eQqqY8WTGaJozXE+RzrCxucbWzi30VBKlCqEAr+ikQ6xveOPtN3jl5atYG1FVwXPBS7h+7Sp5WVGWFUJJoijCGofzgVE3lyVzLWgsCFnjdV3w8ss/otfJ+G//2/8rn//CZxAi+HHIFsAyDYxGY0aHM4SE1994nWvXbpLnJS9+4Yvcvn2byWSCUoLd3S2sbehkGbHSvPDCZ1hb2+Dbf/E9/uX/9q9J4pSph729Pc6cPsVgMKQxhvF4jLNBvtBZC54WtPTUdbUwXnYuSFIpIdo+pxYBVtFmV8s2OG4WgF5rAC5EYHuJ1pxNhGwiiaQpCg52tsh0FPxupCSJI0YHB+RVgbGCV998g+1RYMoUxuGEp9/pk3YyojjicDxC6sBgscbigdJaKleT5wWj2bh9YLW+HC0ACSEQ3cxNs30AbuTcsByxMIhXrVeK1oBtwDXs7O4ym5VkWcKpM5v8yq/+Dk8++SQ3bt3lytvX2d87IFJrPPH4Jb70C5/jl3/pl7Fe8JXf+A3euXGLP//OX3Dr5m1eeuklhoM+586coq5Lbt68TtV4pFY0TdMyxwxxrNq2Nq28l8N70CoCHNnqKoPBgMlkzHQ6oa5rEAQGTFvPIqHAe1zL5hAi9NM4Doyoxy5d5OKFS7z99tvsHxwwGA6RUjKazloT7YY0zehk2UIGcDKZLGSN5q8lSYJSislkwmQyXpjT9/v94KPSGrF//y+/z+rqGlevX+Ngb58zJ08xqkaMRiMmkwknT57kxIkTvPXWW3zhi5/n5KmT/MN/+A956623+Ht/7+/xzjvvoJTGecOVK2/TmJo0fYad3R3OnjnD2to6q6trfOubf4GKYmZlxYVLF3nplVe4fuM6Tz35JHVV4r2jLkukh+FwwI0bNwIDR0k2NtYpq5yN1RVub+0gI81w3Gd1bUC0NkQKR4ML8gDuSLN5MplxsH9IUxviNKGsG5z39NIe4/GYJpL0er1WTkrhW8nQOcU8gCNLi04/NwJvtzVLAbJjHhoisIiO2DvtWJVHLAilFFqLBbMn3ECHEJB1FN1BF4DaGKqyoSwa6tphlcLZBmdLcIa6yinyLYScksRnGQ5XOHNuAxF1cU4yyxvubu2zs7PPaDwCHzzNvBfgHEmqUFIhhMTYhrKpUCpC66iVBQ0ebEECtR0D0oJvCPJ17fNRhO2ex2NpwVzEwiE07AcduLmHylHe3KJ9metlz6O+Lej3icvIJ+UnUd4VgXrYz4kPDxx5v+3+PQH/9zvr+wcPHvXLvldVH1I7fBhlOer3Y5QjEGQeiVzqJMuN+/MOityv/KTu98Pcy4e6lqW+/mFc+8elv/8s9L3lMfRQx7/PgfcLBt6XtfUQ9T1E+x2bJZ1HGIusBCqHaCKwKZAqqm6M686t1h1KhrWQFCHorHBI4RZrVOfnsTyxkNOas0F8m3yz7EmxuN72c0f6FT5Y1LUHeRGOd3PwxQcD+ADM+Hu+U+vjtgBG7mm6OVizuJ757XwQ58Ef+/zxV+/3zodV7jcWH+5c4p4/FgBUW++jXPuDpqv7PWnn9QuCPcLR60e1iDbZaMEYkYZEGZLIYGKFSTS+cTgXfI6FayExP69pDpT51tOmnbd8WJ8LAHfkJXIvSHTMS2S+1p8DK/f5TkdfYqmt/NKe6WF1Ed+9RQgvLPyuH6KOn9Oy3HzvaoZj65T3Lz/zwIjw9qhDt4EQIYI5bAjaQBQHw3QpJZH25NMxCo9rTBt80nivg0G48aASJrMSJR2xCsGF2oCQqg1UyVbTHLRUdHsZkrCxj3TwNNEqBOpUKvDKE0mFiqNgSKrmAQaQWpPFCUJJnPVBK15JItHF1CVWeXQkUXHG2HVYeT1ja3dKXZZEiUYimU0LlGgwdUNVTMmSmKaaofQqSSQom5p+JyOWUEynxNFZZkXJrVvbrAw3SAbr1EIgoigEQ6TCmjACnQ8ARlVXVE1DbVyQMOl0glyPkMRRh/7wBFVZ8PWvf4c//pNvYhsLtACCsRgLUsdY66mNI0qChEekNWkyAHeAcxJjPbNZiZIaFSVUZZDDqGuJzNbp1CGbFDn3kaGVwwjeAjpJ6WZd8FBWDSJSeJUyazxbd+/yFy+9xdrJy6xHKYfTkk7SwXlYOdmnqQx5VbE7PqCqa+rGYp1DywglJTfubCNaaa+6MWSdLp1ul9lkgkpS1vpDjLHkeU5jPONJQZJ2QUa89MprvPbm6xhTc+7cGT7z4qfRrfFvt9tFCcGpU6coqorvvvQjOknKzWqPL376U5y7eAZsw3pteenVm2ztVWzd3mVS5DTekaQddKfLiY0eK704BEwPLdvb2yhp2VjvEccJpg1GFsWMmzdvU5dBQimJBM6KNkO7wjYG5xyRVERKkegYpdr+G0ULUK+pG2aTCXWRU+ZTrLGkaYruZKSxZnj6FCsrK3Q6HeI4AmgN4GvqumZ0sM9OXS9k6bI0pZsmSO/42h/8O0aHh3zlV38N7wyvvvIKZTEmiVcYHRxy5a0rrA036GVdulmGd4YXX/w0eT5CIIh1xvmzF/EWbO3Z3z9g585Nhv0hnTTDNJY4ihlPSlbXN5FxFxX3qRvBufOXuHTxcaaTQ/7uf/q3yToaLzRCRzihKEpDUVlUlLC9+11qBybS2DRG9jOcrEmSKABDjaAEkkGf23evUNU5Kyub7B/uM56MWS8deIepCg73tzm3cR5jDXd3dsibEVZUnDyzgcGwtnKCw8khKury63/lN/nSl0CoLsYqdCT5n/7F/8Q7V6+RdXsIGe6VsRapj1g+QRYmMNiUUjhjSOJgYB0pwfnz5/jWn3+Lmzeu471jPB5T13XoSypaABJVXSOjiPFoSl0bfvu3fot/+29/n9s3bpAmCVI4zp19jF/+5V/kxNo6pmnQOmG4ssJrr77BzZu38DjqosTUDeurA2bjMVm0GhgdPvhqeO+JFYBDSE+/m7UG924RrFVSEmnNgzJL69q0C2zfZqoHOR4AoQIgrVBkKubG1RsU4zHD7pC6qOn3+uR5Tl4UFGXBD15+Da8E127eRCYJaX/AcDhARRFVXdKYhtl0TJJlCClpTIOUwXchrwuSNMU1TTCD9+Ccwdjg/xPJ4MEjVBSMoV2bLTVfCHlLrCOiKPhYWdPgmobxwQ6bm+v8rb/513jhsy9y4cJ5zpw9xcr6SvBzEJq33rzBdDJDScHFi2e4fv0tvDdMJjn/4L/776iMZ23jJBcfu8R//rf/czY21nGm4fatW/wv//JfcOXtq0yLHOFA4bFCBCN2pUCE7PpESqqqRkrFeDxhfX2dz33uc3zzm9+kKKpW+sgvJNAWRu0tE0YCURzT7Xax1gYwNUmYTae89NLLTKczOp0eIPFesLo6JE1TNjY2uHLlCtevXw3XkSTQAn8QADDwzCbjIB9YV2gBp05skLVgijVNe68kWZZgTWCanNw4wXQ2YWU4xBjDyy+/zNWrV+l2uxwcHLC7s8e//F/+V374w5f4yld+la2tuwwGA7KsQ7fbZbAywHvHD3/4QzY2NpjOCrJeH2QHR8zO3iFPPv0UX/vGn/CFX/oSf/yHf8TO3g5bO9t49wzOBO+QOFLMphOqJkiq1abm7OYZIqXYWD/Jyc2zID1lZTnYnzAc9JCpIFKaJIrRUYKUEXVVU5YVTnjSKGE6C/dFKYUxNcQJnTRrEzaSVobStwCUQWiBlgFcDCBHWImBWACSYRl2fCwKKVsfkPnx8ugoP8/eOgIJ5z4fXgiMc1jftEyy4HeWpZpe1sU1kmJa4m2Q3ZqOx1T5HsVkF2On7O/s8O9+/4/IK8fJMxe4/PjTXLz8JJsnz3D5sYs4BwcHhxwejChmFVVRkRdTrBcoFaN18IcLA9AFJhMyMGltYLjMDR0jrZlnOgZp1XbTPV+YytAPw1zcbqJ8227MNzXHt5thzzRPQhDzbRxC/ge8A/qk/Pjl/QKY9wMkHlV25ycl0yPgWAb9g8pDX3f744HHP+IXWjzAP2D5UNvvISLq7xFAmGfSHlHYHnSKn4HA9EdV7ne/P+IxcCxw9+OUDwk8++mWj6jvPWq14l2/fPA63wvgWK7k3rF33/rfq64Hnb/9cU/9Yd3SBpyNAyyqhGjicRE0qaLsxRS9MEVr4VGq3XsJD9K09fggdzXvySKsq8IpRQtEHAdFjuCSo7hyAFvm3olH6SNzgm2bvswinfpdw1QswBA/r1uIFmwJ1zkHcuZ/z8EYOQdYHtCWR8Jh9znnRzjgls/r3vNcDwFw3PNxv/Tz4eu5N7q/gJUWry6DI3AERCwwAHHkCxOJIymt1DbUkaZKLN44nBWIJvgUE7b+R50i3NygLuSXXoNFh7r/N1kCMnzbKO01LX+7d33ld1XTJpy1v79vWe5bj4I0fRTlJ4njvW+5F6q7z/wneKRr/pkGRhSEoIf3OAG2HT0SQWVqrAmbziiKiKOIpmlanfkmaI/7IOsQ6wgra6yRCBRaaTyeldUVBh2NdzWGoFE9B0ZEG5GPdBRYCyIY/CZxTKR1AEaUwIkGL1270Q/BSCFpA3ThoaKURamg8S6VQ2gJjYWmCQZDSiNFhVYpiZZgDK5pwBsEDVIZIu2ZTUq8NWidIiQc7O4CktlkRK+fIQjySErFTGZTUAmjyS53b71EhWJa1TTGUxQlk+ms9UipKMo8yFIJmM7yoLWPwhmHjCOUSMgnNf3+kNHhAUUxo5OmNHWDijRJHKMdwSy8l9HpdJHzoC1Q5jP6nS5aKRQw7HWoK0E5KxFIss6AvPI4oxFRH6jCzcdjbMg29oTMYzOrEELhEag4QRjBnTt77I8Lbt2ecDjz1OMplZ2CjLHUlFWFmhtZI6irmgAbB4aPtZayNNSNpSxLVtZWuXD5NK+89hp/+cOX0HHMaDQCoKkNRVly+fLjrK2dYTrJEVKgFdSN52/9rd/jqace487dm7zyyitYZ+h2E2SUcOXaFfYPDrFCklvHaOeA4TBjvSfJ797k5u1dXr8+JlerTGuPsSHTNNYd1tZPc2IjIUtqbl67wWg8IlGg0pgbN66R5zlZmhLFEVmW8tTjFzg4PGB76y5O+MAicBYtFZ1+P9wLIVqQ0QcwqKwopjMcHiUEcZywujokimI63YxO1iVOggF0XdeUZYFpGu7cuU1R5EE6ztogaxXFQfpMyuBnoDVpHNHrdhiPDjl98iS/+etfYW11lSwN5sjf/Naf8Udf+wOydMje3oiybNDWc3g44uSZsxTlhKwbIZG4xmJsjY4TeoMBUow5eeYUSZTQ7/XpZF2s9fSLmu5gjcm0ZPfwEBVpmqYkTRSCLk3tyNIek1mBcwKhJBAx6PeJ0pQkSeivDCgKj9ANRT3l7s4txgf7XL9+k7PnHuPZ1ecwTc31q9cpyxn5Ro2tNImEv/zON4mlYW2lw2xyyPZWRrcbQSLoDdbZPbzD3Z1DGtPgfEo3W+HtKzfY3q7JsnWqUpJ2Bvzwhz/g29/9HnF3QJHnRGmHpqlJ0gwIwec0TfE+mI7PTcpVMPNgMOixsbHBaDTiO9/+Dt8yhrIqaeqaTqdLlmVY6xgMVhYPIKkjZrOC4XDIa6++yd7uHs89+xyXHjvP2uoArSXjw32uvnNIU9cgBCpKOX1qk9dfe5UkSTg42KOuC+o6ZuPECgjXBv6TsNBtgTkhQKkgteS8oyxL6rohPA491hlgLsXjF8FEaOfcheY/HKWEEADpxoSgrXMcbO8gGouvKtIoQuAoi4JZWTDJZ/w3/8e/x//7n/0PZP0O2WBInHZwAsqqaP1OTAs+eawxOOexvsH6EFyupwGMPOYbolUrBRhMorVW2KbBEoyxY61QEqxxxJGiqQqEV6wOh5w5vclf/av/B77wuc9yYv1kAIFwFE3OztZNagu9/irb23fJZxUrwx7ONpw+eRJrK/5//9NXef21VzBeoK/f4IXPvoiQMJ1O2d66y9UrV7h96y5l0/qxqOA5gQ3Qkm0ll4QQpGnKZDIFBJPJlLIoF5JNzjniJKYxwetmfn/CfQ3bFq0jVoZD1tbXqauKsijwzrO1tYWzgqKqKKZTup0OnW6Hpx5/ivX19cAeGR1yeHhAlmVMJ1NwwWi7qhoAsiyh08nQei5raVBKUdcVTRMYbfNVWawUeV0TJwl1XeOdYzqbcu3aNZ588kl+6Zd+iW9/+9tsb2/z+uuvs7Ozw3AwpJNl7O8fcOrUKbSOuH37Fv3+kKtXr/LEE0/w9NNP881vfou1tXX2DvbbJAPBK6+9QWUakjSl2+8xy3M2T2wQqYSqrLh1/Qarq6vYuqauSqqmhumE7Z0dsijhyjvXuH3nLucvnOXU6U18qgIo1xhyO4M0yHemWYQxDZGOSWIXZMC8R0lFU9ekSRTmxk6HSGmss4utpwe0DGst74+2sPN7L5Y3zO1mdnkMHskWiPb39lgPQrb+VHNZBg/eG4wN9HAvPQiDFBaPBW/DttUJpND0uzHKR9y+tcWtm1cQriJKFZ3OCfKipqkPaRrJ1tYhb135Y5z4Oiurq5w5e4YLFy5w7sw5Nk5skpyOgvxpUTGd5kxnOXXdYK2jsQZnapBRkMkTgcm1kMFaUO/D2BfiSBpACNpsRf8u8HbZ7PFeFaLldbxo9Sbm9+NnISH2k/IxLx+oEy1FCx4qPfEnFGl9mCDkA8I4y28f+/QDq3ofUOlBn/mg5Qg1/XDKwwAX95XeOZrfF8DIQ9Tx0ZefAPj2yOX+IdCP5DxL2cLv2eLLD5hjWcptNG2RtMCP1+d+7h5OD4yQHjvk/q9/gLb4AOPqCLB81PM/zHdbrvtB4EjbDZ1DGIGqHNHU4UYC21GYKME0ntnQIVSI2cxjuLGwOAFKzAGGwB6RYhn6OMrbb3cOxy57PrM7PwdR5m94nFcYBMYpKqspjaZxCusk1gm8E61kllwM0flQCNOcI9LBHyVVhkw3dFRNJA1RK+UUCYtuJcWEb9UJlq72nhZfnOOeWfYjKcvtJLk3ZYlFez50PWLp2j8A/ns8jP3u1jj2ynwd/YCK5/0lagGSSFpibYgig04UGI83GutkSEJyBDN2D0KHe+W9CInuXgRqvedIs80vs0batTccnz+XcZ4HgeIPehyIox4S2vMREhaOTfg/4Tn3ozrdowI7yx3xXhORe+fE/1CAkYXMj/c4C9YE3ULvgx+C8yE4gBdEUYIxBpQkigJzIctShA9ghsAyGh1irQ3+FdZx9uwpNtY6OFPgRZBrCWuKEDC2TRMkslQILiqCGa5uddVRAmtaeSpB8D5RIRjsrEUoiWkanKlafWuBdzVUAlfZYDgbxQjpsHWOUgn9NEERJnPXGDANOhIoDcV0FtpDBPmZoiyRcRdjDFJ4kjhmOrOUjQ2ZoCrhT77+TV69ep2kv0ZpJQiFtQ5rHVEUGC7eGxDBHDXVKToJoMZ4f4yrLboTE6uUWCYMOkNOnTiJFKC1ChJLrmlB1WCumyZZmBB8CFhKscq5EyuUVY7DoZRkJz9AY5jNxmQyYzorqUVCUU3QKkg+qUgj42DCHoIVEBATAV5xcDjm+z94idvb25w6e4kfvHoF6xOEjmkceKGZFSV1XVPlBVVdYZs6+C8YS16E4Ktzlv39A1ZWVrh8+TJrJ07wlz/4IX/+ne9QlgH8qeuaKAqmylVVsbu3x+pgk0gLynxMWeb8+m/8Ml/+0mfZ2rrD4cEud27f4NKlS9RVwd7ePnlesLaxwUGe0+DI1od8+7vfprN3E7m3x3RUUtcd8q5mjAalWO2mrKytMlxZJdYNW3euMRntE2nF4eiAqzeucf3adYpW7z+JY3q9PmfPnOH8hQu4tVVu3bqFcJZEK7SSeNtQ1SWCkLkbRRFZGjMcdImimCiOSOIErYPnQFmWFEXJfp5TVRVlWYbM604aTI3zvD23BjRKygBOEnxHhBBEKm6zkx1lPuPxyxdZGfTY39sB56jrmk899ymkjPjGN77D/v6Uvd1DLlw6ydmzZ+l0EopyzGBlDZxnZ++AyXjGZz/7BaqmpKnG9PsxlSnRlWI8nVAbS9bpol1BZUtmxYgoStGxYe/gFhJFpz9gWjqipE9jLaBI4gCO2rrBG4MwDYc7W0wm2+zv36EoxoxHh9y5+Q6H2zsMkoj19XXqUYGWEaKS5PsTxnvbvPDcc/z5n/w7fDXCmhodJXSH69S2ophUXL1xSNUUPPbE46TZSdJswLf+7Bu89vofIVUXQYJxEmNNMFL2EiE1OopQOkK2fg1NEwKvs9kMY20wbXceA9RVSRRFjEYhoz5NEwaDPs899zzDwYDd3T3eeuttOp0OB/sjmqbGOkdZB1DxwvmLfOfP/5zt7bs8+8xT2KZmfLhP05TQgl9SBrDC1CXPPvM43/n2t2jqiu27N/mL736b3/6tv8LmxjrGFAjhgiyWczhTU9nAPlMKmqZcMAzi6MhYOxSPEJaFCk9bhDsK3ofAbPDNQQqU1DgvSXVMNc6Zjg7YGK5QlxVRHLwFJvmUcT7ht//6X+fxZ57muc88z35ZMCkqirIOjAMb2Iez6RSlNKYyVI1BxRFNE+SIlNI0xmCNxdkgw+g92MYxN4zXKtwbrUO2v8QjpcPZhjTWPPHEJZ5+8nGee+4Zzp45w/rGCmmsMKZhe/tOWOAJj1CglcC18+729g57ewfUJ0+wttZnfbXLbDRGCkunExNnPbZ39vj2n/8ZP/zBX3L+7Dk2NzcZj0ZknQTHgL39/eAbZINvEFVggEkPvV4fIRRFMb8/giIvuLu1xRNPPkmn22U6nVCUjqYJ2e9zUCWKoiB1mWVEWmGbmiTS1IWnrEuUUBR1AEmiNAXhKcuCmzdvUlUVRVGwt7eHMQ37u1Occ2ip0Fqz1rJKOp2UpjHMZtNF35n3oyyNF1KBSkmapiKKFE0d5jGtFFoqrl69ytmzZ7lw4QI7Ozt897vfxTnHl770Jb71rW9x+dJlXnvjdcqyYjY7aOdBjdKaqq754Y9+hEfSGwzY3x8zzUsaC/msIE4zvvYnf8ypExtIBWWZU9c1r7z0I06f3OTO3bvM8ilFXWGcRWpF1ukhVZADKKqK/YMDGltz5tQG/V5Ct5uAs4FZKgUqkjRNABMjHTMrpkGuTGuctTRVAPOCPKnD2ib4i0iJkjJ4zLT9HIIMHBDkFdvEguVA/1weLuwv2vy7eZbxnAWx2F0JYi0DU6pdHTsfBEoRPjC7VIQQDu9dkDy1ikjEAcQxDUIZjG3Ip2Pq/SZsiK1kOhYYFF5GxElClMQUZcXLr7zBSy+/QqIjhsMBJ9Y32Fjf4PSZc5w4cZLzG2cRCKrGUBQFRV4xnRUtu6gKMmOtGb3wCuuCVJ8QIXFGQJu0sZidOLY6b7+7E/OowtGkJRebrFBC/wTfprvN++4n5ZPyUyv3InkPPG7x43j5Ses+vFeQsM34vB8o+ch1PfAcP8b3/SkEm/19A6L3XMvHIgh+n+Duw7b1owZiPmh5GDBqXh6ln8zrfZT+uwjqPQgcWTruwy4f+Zh/iED/x+G87wt+LH68bx3HwMv7Mkse4cIe9rrE8dfCkq5NVmk8qnQgLS5WmESCVjQ4Cm1BO4jnnGFwUhBLgcahcCgEQTI0GJgeDdFln49jF3TstQByBLlT5wW105Q2ojARszphUifkTYQxYX1orQyyWp6j4KoAIcPeSypPooN/RTeqGMQFw7ikqysy1ZBR44TBy8D8X5YFC8Py/ojlckz9oy7vhh+Ol+MpA48Gktxb0Xt5kLz78COY6+ga3uv8xwEU0frWKGHR0gWvEW2JIkNkFc6ANRJngyKPsGKx1BYOFkpDDoTzoVO6Nnnr2HL96G4tpTy1TTafdJfm1WOX+wDgfvmmzA99WObI/Hz3e+8j71A/iTn2EZ8T9zNY+QCAyLz8TAMj+SQnyDC0BuHGBm8BE8zKrYWqqtusUUGeF2QdhY5FkICKY0ATRQpvU8YHY7x3xJEEatIsmGD72rc67yIEtFqd+kYBPmQxz8dHCAa4xUNKyZaE15qNC1TraxLYG1gPTfDwkCpkemKD9rqOQ9a0rxuassDJYGCFBVM7illF3AIt1nqKqmY0nqKThNo6VJRS1k0YRwKyLMPPqlYmImX1xGmitEuSZgyHK3ScDlmbQpEmKdZZkigCb4kTjZ5LgIkAOJ1cW2U2LdAqot/VaGXJhimdToJwDh0pfOsB0+t3QEAUaZIkCTIpUYdIKdI0Iok1Oo1Iux2cs4ClzGfYKmfv7m0KU6NXV0lcRaRskEfTOgT+hEAIFYAlNAjN7tYeW3sT0F2S7jo37uyzf5gzXO2zdzDl2s3bjCYzijab2VtL3VR4YxEiZC9b6zh/4QLnzp5lZ3uby489hlSKb/zpn3Ln7hZKK9IsCXr4URhKcZwggSSKcL7B2ppBr0MSOZ5/7ik6mcbZCluX9Lopk/EI72HYX6HT6ZEkKXVV0tQFXkRcOLGGHx+Q37kBJoBUJu5D0kFEkHQVnUFMlEnG00Mmo0Osqbl58y4vv/QSr7/xBlX7HRHBNDlJU3bu3KauSs6cOc2g12F/f580jlFKsrKyShwH2ZU0TRdBQ7zDGEc+nXBY74cAeev3YK1tjZbDw8E7Tz6b4Z1Ftx4VUgqMCcbLWkmkkBgXFj+qBQ5NVeOdpd/rkc9yRgcHNE1NWRTcvHWTM+cv8tynnucv/v2PODg85Lne45w5/zS37r6MHzUI2eCMYzqueOHTX0JKwXQ2ZTLZRaoBWkeMJiOKomQwWGVW5xjpyYuKwXqKljGH4zscHtzhzOkLRElK3YDWLRsBE4atC7JhEeCrksnuLm++/SqHh3d57LGLZKsnKDdKdu/u8PpLP+LZp5/j8pnLaJVS15Ymhn6WUOUj7t6+ihSQZX36wxOMc8Prb77NtMqpmpIoibh2bcKdO68E1k7RkHXWmeYlztV4ofBIKuOppiHwq00AQo2xWBvky5yDum546qmn+Mqv/Rr9Xpc40vzjf/xPeP31N+h2O+A9RVHwi7/4S/ze7/0eSkrevnKFvd2DwPSSIeP+eiu11e1kQUbNNlw8fw5rav70T77GaLSH1gLvDZGKWFldDX0v6yB1zO/+zm+RpCn9Xp+11TVOntzA+wqBbYGRuaeBRqmozcBxbbZ6G3iFwD5wbiFDc0z5tJX2ibQ6lr0O4NvkIGctSgYpodFohDUWEQdkJctSbt25RVmXfPbzL3Lq/Bm297d57OnH+fcvv8TtnR08Aq2iAHA4R5ZG4CTOgTcOr1zweFmst0VgBhIkF50PTDe8J44ksdYt4BjA+ThSrAz7fPazn+HS+bM8+8zTnDq5QZamNHWF9w3T6SyAT0IF7xSlcMLhZJAqdMCsqnBCUtZNeMYISGPNf/Yf/0d89Z//C773/SDfN57kGCm5ffMmG+urPPHYJdbWVtndO2D/4IB8NgPAmAZ88O/AewbDFYSUuJZdJoRAKkVRFHzmMy8AcHfrDsaGOUNrTVlXrX9NYGtYa6Fldva7XSbjMd554jiir3QrURTua1EUXL36DtevX6Oua5QKz3MF9Hpd4ijGWodSGikldV2T5wFs0FovfEcgsF5EKw0WtecPHiWeTreLaNlVURRRFAU3btzg9OnTbGxssLOzwxe+8AXyPOfOnS2891y9ehUI36uqKjY2NqiqitOnT7O2dgKlE8rS0h8MkSpma/s63RXFzVs3cabhwukzVHXFlSvv8Jff/0t6vS5ZlrCyMsCPx4ymU5I4C2bphOvuD/p0ez2Gg2FgulQVZeRJY41xDQpPkU+5duM6u7u7iDjDt6Ci9z4kQLgGQRhfzjQoEbx4QASPIufaOT5sgl3YSYY1gZQtm24x+lqWw3xV6lp2kGoHoG9xkqNVqxKy3X74oxiNDHU4b/DCHW1epEREAm89xtbEieZTn3meJ599gsl4xNb2HndubXHj5l2ULhiNZxSjHKQm7XZQsUbriCztIhDs7k7YuXsI4m3i9Af0e8EL68TmCc6dO8vJzZOsra+weXIDPBRFSZHnFGVBkRc0psZ5hbMC51qWr1KEjEXfgkYEBibhOykhcSKYtstlaazFfuv4XLbYcHqPsz/hoPIn5ZPyYZf3k/P6SZblKNUD4hjv9/GHPsfHsBwLrh4LfDwAEPmpBaAftjxMYy8BPx+XfggfbFzcp/8u4x0Pda73k3z7GDXRA8uH0Sc/SB0/QVDE3+/zD5S1+xBBkcVx7/GCB6wPRuxCoCNBHIX1jkdRyRQjJHQX3FesEjgviKRbmLNrIXBCIMVc1Gr5FGIRb1uyZsd7gfES6wW11RRNRFlHVE1E00RUtaaqw2tNo7FW4ozAObkAU6DFRgQgQ4KZUA4dWaLYMk0SpknCOC0ZxCUrcc4wljhVIdp13FGIP/w3eFjc/7b+pKfQ++AYx6Alf2wiebT6jn/q3nt2v7PP2yRMWEH6bHkOevfVHjdsZyGZppb8RqIFOGJpIomNXZDVMhJhQNjwz7kAknjng9WfC7JaQgYWSdDfbtkiHsSxtmnbq2Xr3avifXz+FQ8GRxbH3K/VHnT88ni7R57tQWDJj1t+kgkQ84Z7mOt+9y25T108eH58QPmZBkZGoxmNcSBUYIy0ATJHyIysqgZrg4RJFCVEcYpxDuMc3ayHb7OS68ZRNzXWNJTFjO5AgzOYukDRBe9adFGinG9lnARurmLogyluCDSEBwIybIJd4xAt0CG0Aq/wtSUoRjhUnFBOK8rRjMFggBAW6zwBsNHUTYNWAmscRjQIoDGOsjTkRYPKFK7F2pO0T2MlQqcUDcRSMslLpI7wzodMZlvgRDCZHVUlFy4/xkFe0BuuBHN5JEVREitJnKToSFBXJd1OTBwp+r0OOooQCNI0Q0hBt9uh3+sRxTGdJKUoZqyurNA0Nd5bhit9sixFKUGn11nINGVZB+Ecti7RWgQ9fCWwPsg6eedIkoit27f58z/7M7xwEGmE0HjCA9C3QRuBQLhg3FqbiitXb5FXDV6mrJ0YcPuV17Fe4pAYBzdv3UZHCa0tMwBZmuGtxRhDHMfMZjM+9dyzdLMOn/7Up/iTr/8J71y7xmQ6o9vrYqzFOdsa5YZAblNXWFMFrxlhSSMQwtDpRFy+eA7hLUmk6KQxvW6H2bTg2S9+mUuXLrO3P+LG9ZuotKI7GCCFptwqufPGq9Tbd8iyFVyWMJvtU9iSVPdAJeT1iMlOhZns4OuSrbt3+Jf/8//M1atXWV9fxxpDVVVY59hYW6fIZ1y/PqMxDcI7Tp46xWQ8oipzur0uFy6co9PJeOWVV8mLaZslHgLQc6miUELLKXlkHivFfJESJFHm7+Ms3rf69OGjOFyLv3sirYh0wngSwEklBVt3tzhxYoN+v08nTXiz9RG49NhF3nzrCuPpPoPVLrt7bxPFmrrOuXN7q33gxaytb4KQ7Ozs0e1KprNJkPMyjqquaWxNdzBgPNknL0qQNbUtmI2nnDpxkroeMRl16WRDbGWJ45jD0Yitu9s458nzHOks/aSDMJ61/irrwx7Dbo9YdVl95iSTsyOstYz3JzS1YDjsYirH+soGOztb7O5s8Td+928ACQeHObWTvPHa6+SVpNs7zUqSoLQK2e7TGu8k+Ig0y8hLQ1kXCBXhvUYgwxzowv3JshY8tI4s69DrdfGuy3AwZG11DWNCUH1tfT1IZTmL8KCU5uWXX+HmzVuMRiNMYwDB3btbqDZAXRQzVBSyMPLphBvXrvDcM08zHU+4+s5bDIc9Tp89y/rGGpsbm3Q6HZIkRSiJijRZ2kFJFQAE57DO4r1B6gAOH3mI+ACu+sBic+7Im8JLexRY9b5d0B5/+sklRslyNvv8IaqkRDgW3kDdbpdiMmM4GFDVJWVd8fSzz/DsZ56nMjXGW9Y31/nc51+kqEp2d/cpyxxEyBRSUiC9wEgR5m9r8W1AuK4bIqHQQqFo5YeUAiFx3pIlmjRWHBwekKYxjz1xgS998Qs88fhlzp8/R6+T4m2DtzV1aULmihQorRFSooVC+pDtIqRs31cYDypKkFEA25MkCUCM1qwOB1w4d5qvf/0bGCt44qlneP7Tn+VrX/sab77+GuurK4wOD8inU4pZDh6sd9RN8G2RUlI3NVESfLLiOMK7INNkjWE6zRFC0usN0Hs75Hl+FFj3Hq0UjTXhuVbPUFKSxMmCCZTEMStrG4wm0wDCCEFZliRJQuOalmmSBjk+KfFJ3Ab7HU1TL0zEZ7MSawOYeZxlBHNT8bkZ/FxeCgistrbfdDqdViKw5MyZM6ysrLCzs8NsNiPLMl566SW+9OVfDAyW3V2GgyCjdXJzkzRN+fznP08UpeAgSVMuXXyM3Z0J4+mYwuy3YHLOdDqlLAq+851vMxodsLqygpCQpgmdJiMvS6qqJkksSRwzXBkwmozJixlRJFlZyUjSCI9Da+h2E2wrOzWdThBK4gWkadoCpgaPRKnwLB+uDNBaI3RYH4Vxolp3i3fLOIUxFaS1PEdm7EfJS2GD0VqThOPdfOPoj+pYuGT6RT3CiXZzIls0U+CNn+sUIJQDKah9Q9N4pFD0V0/QX9vk8aeeoq4sh6MZt7f2efPKdd54+yp37m4xujsmTcNYSOOEbrePdYYoiTCNZXd3xPb2Pm+9fZVO5yVWBgP6gx5nT5/i1MmTrK2tcmJjhSzdDP4r1lMVDaPxlPE4PGeapqAxDqXj0H4tEOTb5BrZzklS0gJ1AaD1LrSMVAruYYhIGRJA5gD1J+WT8lMvD8scea/Pvlf5iQWtxbH/PFw5AnHf/2PzzfnHK8J8LGh1nzVUeF3c//f3eu2RLuJDbpP3CS6/+/iPUz/k3dfzKLJ1LdAT+qRY/P2uQxfxx6XxK8SDu+d7BfcetnwsGEbvUR613zywng+x7x3DHe4BLe/99b51PSKIuegD73Oz39VH2yt0gAnRsWgGtHuiSkoqGVOjkIFEj0NgtcRpifUh698KixUBJAnrzaPg74INQgBCQgQhMEOsF1RWU1lNXieMi5RJkdIUEa5SuErhGwm1BBPWoNgQDMeH+LUPS9mw1JQer8BrqCNHHTuKJCJPY0ZNSp7lWC9DAh4+BOa9wxF8iZcfCkdz7Mdr7r8fUPLj1HW/xP2joP/xp+SxmHb7XJwrWd3rxhK8NkULBBx5j8zfk4CWDi2PwJFIW5xWNJHDR779J3AWhBMIF5SGhA9/z5OXvOM4gdvOL/s+rTP/bvPtyxLQ/G5w5H6t9gFb/N65e/mNe6v8MOfcn9T8fS/z5j2Pe8B77zknvnf5mQZGZnlNWTmquqGqKqoymDrPygpnoW4aZrOC6SxnNBqTZl2qpqJuDHFsaUwRBgjBUElIR10XCNHHGRPMPoUArY5mTGz4PXgm453HGY9X/mh0SIHwIrBHhMThqBpDIlXQZhchmK+SFGsNDkGcpFjnsc4RxQk6yhBopNLINEIUJc5BkiRIpagax3hSEkcKJzQ7B1O81xSVZ2t3zM07++hYs394wKA7oC5hNKowTjLNS/rDlPHuHmfPnqcyNV4IVtfX6XR6GGPJ4ozNzc3w1b0ljhVxrHDOcHJjE5Vl2KLAOEtezDg4OAAEg36P8cgH03onyLIuTVmCVnSSDr4s0WlKv5uRxGLhESK7aZDjEKBNg68avAbhHM4EM/Aqr1A6w7o6GBOLFkwRAUzBge4O2H7zCts7+3iVUDuPE44TJ89wOGporKPb7RAnacj8N5YojoI8hwveGQLP/v4uzz33HJcuXWB3e48oivjB939AnKVkncCmAU8UBb+MsixCgE34BfgRaUFeleAEcZTy8o9+wOuvv0wURYxHY7pZl73tEbNpwZ3bO8RJB4Em0Ql7d7eppgXkI3qDFc6eO4NOu8zGDvZrXF2gXYKta8bjA2on0San3D/gn/7jf4L38Ju/8VdYX18njROqquLKO1d4+623Mc6yMlxl5842r8evc2LjBGmahkC/lLzzzhWstcxms0UGtZzj5a0/gBRzBc2jwNaRt8OyzMdRMHo58Dg3WYviGGOCPIv1ljyfEcdBBq7b73Lx0iX+zb/5V3zlV36VFz/3WZJOyq3bWzz++BlmkzFVNcLaEkfD3t4+s9kMayQXzj2OkilSJCgZ0TQzmrpAIkmTlOl0gjOGNE0xquDWzWs4F7LCIx0AxDSRrPYzBp0uTWNxePon17l45hSRjhlNZqTdjLMXL3D+sctYW1BXs+Dz0KSUeU7dTFDag5dUJXgfYb1HKk9eTQCwLuLb336Fg8OKrd1dks6QvlfkeUVVW6azMc5DrBVSuAAyCRv08KuSOHY0TQU++B01vqGTZiSRZtDvheC/DMFfnOXGtXf4Z//0Onle0NQ148mIJNLEcYR1FmsNd+7c5M6dmzR1g7eBgTe/d6YxJKlGKsdkMuH05imuvfMWWSz48pe/yOc++1/R73eItMTaEMw2jUGI4LvkBdimCjI5XuJbeDJAZbZlzNmwUFlI04ASc8aaOMr2xx/b0C0MoL0PnxOtquqSpxNtD/XeY5zHVg39Tg/nPUVZEMWapJNx/a23WdtY59Mvfpoah/UWiyGKJZ//3Geom4qXX3qFK+9cIS/yAJLWDb6GKEpJOllYtLWgjTRBmki1AGHUsqic80itKYsxo7ziM59+nk899wxf/oUvsjocksQRUnp0u2HwCqQKwIoXMgRZpUJ6iXBhM2FbwNEDMorYPHWKMq9ZG/RI4gRTz8giRVUUfOZTn+L/8n/++7z8+ps89tjTDIdr/Nk3vsE7b18hn8249NhjVFUV8H4hqRuDFApjDcYEqUE77xvOBXCrZQvs7+9jjOHcubO8+upLNFWNjmOqqsIJyPMS5x3CB+aGMZYoTpnlJd1en/HhmP6gD1KQFwUIgaqCFFo364ZnrPetlFmYcZxz4BxJpIm0pKlLTF0RRRpnG0wz99txOOuI4hitNMZa6rJCa0WWJCjZMo1U6HPOuQAwe8ePXvoR0+mUNM14/fU3aZqak6dOUxY1w+EqL/3oZaqyYTbNKYqC5557jsuXLpFmPUaHI06dXKPbGfBvf/9PAvugLkiiGGeDp83t27e5e/sWaafDdDbDOkddG5TSrK6sMSlyrLVMpxOyTsKpM2dZXV3Becfu3g4rg4QL509gbRXGd9Kh3x+QpPEcnQgAdKRBtLJYCgaDPp0sQWmJMwZwrVSlRAmJtwbf5nWFMmeJLBklLs/+cwktfMBY3BI4ec9xfuk5MX+mCNqNi5BhI+zl4izeh2uRMjBG8eB8yD7EGYRwRKliLRoyXFvjyWee5NdLy+FozNtX3uHmzVu8+vKrXLt6nW6nh3Nw6szpIEEoYuJYIwjebcV4m51ol6tvvUOkNGmiGQ4HbGyscurUKU6ePsmZc2dZ3zwT2Lt5QZ4XjMdTDg5GNHWNM444zlCJprEN3rbm7EIR6TBXQZCDnU9rczmy5Ta7l/32SfmkfCzKR8UA+UkxSz7Inn8pG/Thr/BjGByeR3DEPX/fe9B9464fViD5Qwi8f5TlYQPGH8m5H+K0i+jxfY5/1xi6T4XzYx54O38G7tGPU+4dAx+4ng8HFPH3jsHlQx8WnHzUsTk/fn7uR5x35xicsG1SW+3ReUBBnBZYITFO0JiYCVBbRZNU2ETQaEvsLZGUQR5pyeR8XuZgiGvXggaBbf1CGqcoqoiiiinKmLKIKfIEXyqoBKKWCCNa1oBok52PX3zwtGv/qTkw4nFW4W0AYByCBkkkLZluyKKGRDV0XIOT86qWkn64t0vdr03F+7z/oGM/nHIMpPgx67m3zI3Tw3/uD44sfr/vBRxd2VyiNvwLcSTRgmeyjeMq4VDSoZXDqCCFZpUP91F7hAZvWIBebi4CJOf3XzDPb/dtUpfwS1d+7BqPnv9HjXgcHHlQw4j5T+8fveGX5np/7xv3vQl++Yj3Le+6lJ8CoP1QZzwG6r/7Pb9U0X2Zdg8oP9PAyP/4P/4LlNJYexT0MsbghW4DY2oRsJFSkcUJzjtsKw3kfci4tVUZpBrwlGWJEAM8wUjbGwd1A0IhvAXv8bal7zmPXdrsS6VQsQalF7Oh0AJhHKmOWi1uH7CTyIOWjLa3SeKUJE25c/s2pnH0h0OiRNM0DUVekmgYH+4i0yGOGC88tXNMS4vZnZJ0BI2VxFGHg3HOrDEInSLjmLTrOXPuLKc3TmPkDndfv4OXgm5vgOuMGaQJX/7Fz4Pw1KZif/+QpjGsr26Qz2ZMp2NOba4RRYokibh79xbWTBBlyWw0ASWReKpizMrKKk05o5xNmBnHcLjKsNtnuLpCHGkO93cReDId0+Ql4507TKcTDg8PycuSw/EBVV1jmobxZMwsL6gbw2g04fSZcwgipBb42oQAqvcs+7giAGPZPzikrGpEpDBegvIMBqvE8V3KWU7W6Ycs29EEqYIRchxFFEWQiRmNDvmVX/kVvvLrv873vvc9cIIf/ehHdLtdZKRpnMVa25qyT4iiiDzP0UojgF63y6lTm9imZmNjnbyYcfvWLf7dv/sDoijCeUdelGyePA1I/vxb36U2nsuPPYGpG3ydQ1WxMVxj9ewZhJ9xe/sWV96+yrSJKWxC1hnQ1QneeqqioLEeY0r+8A/+gGeefpZf/MVfwDaG06dPUxQFdV3z7DPPMJlM+OpXv8rh4SHD4ZCd7R3u3LnD5slNhBBEUZB/mXumzGVxvHUhyNoyPrx1uPbpsRyops30lW0wbd5Oczmu8HoLGiIWMjbGGKRSlFVJp5OR5zOef/5TnDlzmtFoxAsvvIDFUjY5o/EBZ06v8fU3fsjVd17jxGaXv/z+y/Q6MfsHE+rSc/FMwmxSh8C7g6ZsSBONEpJe2iWXM4SQ9JM+t+/cZe/uHrVpOH36JFmcYBvLdDJi7+YPqQtLHCeknU74Pk7ihULqiKKq2bjyDlIrut2UTi9FoOhnKwxX1kg7Dk9NURRYE9gek3yCigRnV89QW8cPfvAmr751jdnMY12FzGFW1dS1RQoNXhJJRTkNGeFagtQw7HaR1ORVSazi4FuEpd9NOHd6I5hP5xOapiLPZ5RFGeTM6uADAyEY3ZiGOEqp6oKyKMiyjDiOSdOUfrdH2u+SpAmD/oCNjRNBEmh9QL/fIY5jNjc2kVKwtjJovRxKpHRUVR4kAbVeDE9wOBskD4VovYFaXyjEnCXiFoyj+dgWcyqkP9JR9t7jlvpbWGP4xXvQxi0ErX6sP7ZgcYBWESoWRHFEf2XIpCxY6w+4s72FlY7PfvFFDIaiqSDSlE1BkmT0uim/9KXP8dRjl3jn2lVu3rrJ1vYWk8mYYlozKyoqZ6nKgtIaPIJOmi6eBbFS4DxFmWOModPNePbpJ/iFL77Ir//GVyiKnE6WEWTFbJtdDojlwLJs2zWAlPNFIxxl1RhjqG1JkmQ4G+TrmrohUeHouqp47NJlzl24zGdf/CJJp89kPOPv/5/+Pv/bv/pXvPraqyHwbz3jyYyqrlvWmMDa9j45FmO9qqrA9EgSrLVsb29TFAWDwQBjHMZYHEFOSyhFXdXEaUJVluAhLyt2dnYoi4JTJ0/hvWc0GhHFMRDuc6/fa4GaAFZYYwJoI0Pygvd+Ies3m06p6yAJKKWktpZItwbynuCv4RxN04S5WQSZzQCWh/VEmLMDqLu7u8sbb7zB1t0tiqKg0+lS1zWTyYTZtGA0zjlz5hw2kJwQQlHXhk9/+tM8/vjjSAFvX7kdFvFSUMxy1tc3+NFLb9JUDb6xjJTirbffJok0WRracZYXZN0uZjYj0RGowA5Lux2sNZw8cQKpNaurq6QJzIopr72+RxQJIilJOwPW1hyvvf4GjTFonVDVNUIpokgFcMRb1tZXEMLjTI13R3JjwbfNtIaY3Gch7xd9UIr5/kDOnwgBPLNBTHT+vJiDnEeA+lFZnLfdrd6bJbaYT0Rg7Qa5KtFipKK9FhekxqI4yI82hixR9M+e4OL501jrmOU5d+/s8MrLr/HNb36bt996izTt0u/3SeKITidjZTDE2obpZEyWptTGYOqafFZy8+YtvP8hOpYk3ZhLly/z3LPPcfr0aVZXVzhz7gzWOopZwc72NoeHY/I8xxmDlMGPLjxXFdYZnLVhHal1Ozc7RCsnJhYg1CceI5+Uj2n5qALcH8XG/MMEWz6GWMejlWVQ5EMIsP441/BxBn4/YMD4Qznx+wS8PpzTvN/4/RCAg49zuS/w9+N8+L0Of7/jlxZbjwJI3hfUfMTrEcu/+HtfvO+554FvQfiIdx7ZtIbkWLxQYKFuJI2LKYSmcBG2J3FCkPoGowxxC4xIcZwtAkeJL9ZLrJMYL2msonKaqtHks4TZNMXkEaKQiFIiaoFsQDYEGSX/blDkSD4rgCJOEdaTLqwradOBvJQ46XFSUUURRRyTm5iuqjEqJO8sN1ErnNrekuXg9Hwf+qD7dP93Hnz8x7uI5W501Ese9tNL/8Ln5ywR0dYdwJEApEnZAiPCIZULrHLt8FoEIESDVC0wIsErEUAwK1rWkF+AZHMmeyB8PGhuXEoJWwZH3mcddAS0zDdMjziXPwqStXQD5tj+g3se97z5U+hz8/j8Ixy/eBbeA4i85xz6gPIzDYwI1UHHMcp7BLL18wjBjqZplrTDI4SQlHXJ3n4IgGIdWmpWhisgM6Q3TKtpa9YucWjKokHIFLoptBImEIJu1no8CuM9cZaiRJhVrXOYpqJu6sAmaUC0gaPRaJ+mCUFnCD4FQUM9wftD8ArnFG5i6OLxUqGTAd1OQq8bE/VXsPsW9doWjXX0VtaRPqI7jOiXDjN11LOGfjakv7rB3Z07rKxuoHWMEKL1A5iBs+T5BKUEWRzzzpuvsT/aI+1mSBEkX8rZFGcM1jZ0LpwkihRpFnFyY43VlRWm0yl60CPrdhlNpnSSLpODKVev3qAugjmzFNewjaGuK4p8Ftg43lKWBd0sQXiLdYYkS0EIsiwlTTOSJGGlt8L50xfQOuEHL71CMWvwBJPzWCjm5ki+lTILgRYF3tLtduj0MooGtI6JkhShNBsn1sjrmrqqGA6HXLtxk263T1kW0OrOg+c//k/+Ex67fJl/9I/+Ea+++irdrEfTNGRZhzhNkJEmSVNUFDFcW2NjfYMsSQA4sb5JGieMR6MQlNw/ZDQ+YG11lSzr47xn2O9z4kSEkJoo7VA1lqyTcDiaUlYV4/EBEs/Lb1ynyCekXU1uKjqDIUKlgEbrODCljCHtdMnimJu373D58mU219epipKz585yd+s2u9s76Cii1+0ilOS//m/+S/7pP/lnjMcTrLW88/YVhv0+K8MVprMpVVWhlKKq6wUQYtqM+6BcsixFc1xeK4y3OHzGGKRUC5P2IymjowzvyXTGcDhESokxht3dXXq9HjoKev9PPPEEf/2v/Q694YBer8N3/v232VhbwVQlg37K/u4det1NbFNRFYJiUmMaiXCK0cEYZw1aeHqDFYrpQbiW0nGif4I0zXAFnN+8iG8UDk9d16x0Nuh0MmwjW1DHs3+wT5xPMcayfzAmTjsMVtbRSUpeFCSdDk5G1FbR6w7Ia4NzltQ5EAbbOKRUeG9QsUZKx+FkjHUwnk4w3hIlEbayjCfjMH+1/kkCibWOfhb8e+JIIaSlsTVNOWKcT3HGBVmrvMA5x/7WtRYoaVlmUjLs90jTlO7mClJK0jRluLrCxsYG/e6ANI05ceIEaRbT6XRZW12l1+/Rzbr0ur0Q3G4MeV5Q2xIvDM4GOaTJeIypG3ANWjjAESkJSgb/p6pBaodGIlq6nfcBXJv3CylECAJytBiZFzcHStonnlCyfdYdBVoDcDCX9GklaLzHmBp80HmVywwUwDYWpTSjyZTh6iqnz59lsn/IpC74zOdfZG1zjYPJiDiJyE1Nt5cFibu8opeldM6e5uyZkzjxRWrboJRifDBmZ/+AG9tbvPzWm1y7dYvbd7awrgJvqE0NTZDSGfY6PPn0Z3jhs5/mi5/7DJ1OQlEUpIlCS4cUUBYz0jTMkZHUi2fQPFBqvUM6iXcG7y2qzaBBQKxjBAmxisltYLVpIYlEYA/FUUxRVDilkbpDUZR0ewPOndd8+Zd/hZt37rK3d9BKUtrQqkJhbAMt66XJC4wJHBUhAthZG4NOYibjCW+99TaPP/44a2tr3L51Y2Ha7axdjPt5INgD0zynqioaY+h1utRNzeraCkLRMhNdyEazwT8rSSKc9cEz3HqSKLA9mqamqCriOMYLQW0sQkUopWiahjiOkSJIkQVpIoF0DtHKcCklETLMCdY5kiRhMpnw3e9+l9Onz7Cyuh48apRic+MEr+y8jtQJt29vEemEldV1jLHEOuLFz7xIv5vQGBNYGd2MEye7nD9/lldefZndrR0ibTl54Tznz5zhnSvvBBBUKV544QVGkzG3bt2h0+kyneUkaYY0DZ00xQvHG6+/wTPPPMPezh6rq106WY8LFy/y9luv0jQ1ndIwOiwp64Yk6+CVInhG1WiVgPSkacyTjz2GFiIARSr4+jjvg5GlC4kkx9firQH7XFa0/SuMyfZPH8CmBSg5Z23Ng/syjHsxB91bmTXfjtf5Myg8X+zS7xKBDP2p9RoKmy6L1BIpYprGIEQAmGOpWsm0hrqYUtU1nTTj088/wTNPXeZv/M5vcePmHV760Wu88sor3Lx5k607N3DGMhwO2djYoGwZRV4pjPVImRAnEUJ7xrMJf/GXP+BHL71CFEWsrKxx8eJFTp08xaULFzh15hSXn3yCKs8ZH46YTKZMpzOq2lCWBR5IogSExDrTzt0Rzjkc8w1gaHsdLfu5fFI+KY9QljvSR3OCj3+AG/hQGuGDBiE/lmUZHFn8uOeQn8B3fdRz/DT62c/CNXLfkPZReSAD5j3Gxc9LV3+/8qGxoB5cjmeT32+s3VPHfeu7T8Dvx52TFp/3767r3utZ6tdH/Ij5Cx7hPNJ6qBxaiTaXS4EI3h40mqpKsEZSJQ1JbEiiJux95vuYNgK8zBaxTmJcAEWMUdR1RFMrmlmEnUVQKkQtEJVAGZBGICzB/veIzMG9l7x4aZ58d7+x0N4XIXwIxM//i29/bxkMYs5maAP3C5DEL+oR9zILls567+329x2rH6S8V9+47zd+yM++9yfey2pj2dL8fu/N6wk4RZsoNQfO/FG7SwEKjxLB70W2/20FTvDSgwSngrSvn78u2t/bfw8CRe7FIhZ4w3ycHGN/vFcw3h/HTT7QmH1UmEwc+/W+j6SP1fx+r7vQg4pfAqN4NxDSPub+g2GMJHEwq55vwucZiEFLvNMaaJtFBmsURcSRYmd7G5B0Oh2yNKEuS4b9FcrZYTAr9gIvNYfjgoODGcI3QI31DaKdoOvG4j3UjcHY4F0RsuMNVdOE7EopSeMOQkjSJAKdsLa6hlSKuqrIsgyBpKpqnLOsrK5TFgXT2YzeoI+KUlwlKcb72KZC+gnGaJCeWVnQGIKPx9SyfzDFF4BQeBRpZ4D3O0Q6IU0ztJJkaUy3kzGZTFg/MSDtdugph/Ipnc4pSmtYGQyZjGdsb+1inWV/d4e6LPC2Zjw5ZH9/jySOGI/HTMY51nqqxmAdxHGKNzAcDsmyDlVVsjpc4cTGKkmygRSeExurZFlEmmZIqYjjlNW1tbatEuq6QkpI4ygwMqqaG7dus3swCoHNSONNuUB1wz/fDgoZJjVCIKMvI27v7GNKzywfU5YlWmlm+YwzZ05z7cYNyrKhMTVZEjMYDPjlL/8CX/rSl/jX//pfc+rUKZ588mlOntgkSoIcVZQklE3dGgcr6jb73htHXdfcuXOHwCpypFkwAX78safpdruUxYy6bpjl+xwejqmNYTKbsb13gNIxZRmyp6UO5sKdKKPMc37hF3+BrDdkmpdEkUMLS+MNjWsQDuoS8skhTZWTZQmz2ZRz585xeLjPjRs36GYd6qri9uiQrNtFSsl/8V/+F/yD/+c/oCxLptMJxpjW58GTZVnIJm4zsv3cfB2Cz4gQKBlkP0ybVTzX6LfWLVgmyxJac+YIBGBFqZClf/Jkj7W1tTbj14UgpvfEUcRgMODtt6/w1NNPE0UR3/uLv+Tqles899yzlNOCtZUVtu7c4dd/9YtcffN1dnb2sLVnbXiKbtZB2gZo8K5hpTdkrdOhLipcbZEywuYeFUWISnH59BNUTR1AUwfl2DKb5Qgyev1VhpunSJKItbVVOp0eCEXW6dPpD1A6prGWST6j0+0ym+aIGGxtqa1rF3cSJRVaKRI0lSnwLZC6t7fN/t5thEzAW3pdjZQxXkCSZGRJShrHLTOrwDZNAHCF58zJEzx+6TxJErG+vsba2jqrqyskSUInTen3enS7XXSkWRkM8d7S6XTajHqJdUeyaE1TtffYtlJxIZPZ1BPuHm5x450GYxxKa3Si8ATpIylkmFuVxjQldV0iVQDGlAqpGVIFs3FjGpw1KK3QSgcgY/GEDpnloe8E4ENKhRCqTeYJQdqj5+C9OeRHQddADmmzraVcTBXSBVG4lmMY+i2AkEiteO755znc30dIwcb6GuN8howVxluUaqXjvEVLUMKjlUTpCItFG4+KNN3uCc5cOs35/ALDMys8n3+Knd29wBYREfVkyiDtcuHsOc6eO8Pa2jpRHFFOJySRop+tMp6MMU2N1qplWxi88wgdrt84u8jIX26FoJfrQHokgtoYvAyG6HVVE68OydIUWxToSCKkQjhFvzfg7u6Y3f0D7t7d4dadu9y6dYtut8/+wYS9g22SrIM0hqqswYtgdq4UtaqYTidEcRSkIKOIuiiI45imsezs7PDUU0/xxGOPYcqC1996g8D1CffLu3DfaZMYnA2B4NFoRK/TpWmaIJHXmn8rpRZG4N579vb2UFLTyTp002zB4MuLnDiOF4kSWkc4F4CO+Rg4Amtb1poQAeyQIeAe2E6SvcMDyrIMAONwyNbWFkmcIoUgyzL6611+4Re+zCuvvtWyaTw3b9xidXWFF194kbW1Ls6CqQWnT60HkEE5Tm5u8D/8f77Pqc1NtDQ88+TTPPHEY3zj639CURrOnTtDXhacO3eed965hvewsXGCumqIu12KYka/3ydNO9y9u8Plxy6idRQkRWcznn/+00ynU5K4w/Ubu2zv7GNMYGgtGBtYgpsKZFmCjhQGkEvjUkqPVDJIJNCythbd7mieD0dzxGpqq5DtGJwD5Muyioi5n8bRGm5RhCRspD2tKDRhexyYFs4FGS0tddv5HUL6VhJQkMSdACyYADLK1sso04JYxYGFOD1EyIg01jzzxEU+8+xTNM3vcOfuXd58423efvttrly7ytbWFtNpTr8/+P+z99/PmmT5eSf2OSbNa6+/5avaTfdMY3p6ZjAzGBCOMMTS7ZKKJRkKxe4foAgyJMXqP1itfpEUob9gQ6GVlrsAGaTIXZDgglwQAAEMp8e7dlXV5auuf13aY/TDycz73ltV3VXtpgfoU/HWfU2ak5nnnMzzPN/v89DrDxBSEiUx2oQAD6klUTRASEVR1ty7u8v9e7t4HyQ3B/0+zz37HC9+5nnOnzvHufNniJIedVFS1zXT2YzDwyMWi4zGkKTz1RFChey6ZnDzfJox8ml5n6WbOH4EmR0n9vO42fcnpCyDGX/Zy0OgwU+JFHk/5ZPezuAYQfsoMqlOH7vgGIXkeLenQxq6ZR/VBx5LmvwFK0/Spp+42T/5tk56hbxHfZ4mg+sEOPgByul28TiCpml//hF1Er4J4LLBb0QVzTatAwTCSEwlqGpB7iKKfk3aq0hThVKuA7vDPCG0R0fwErFWYqyitgpbakyuMYUKGSK5QlYCaQjSWQ0h0jZl/5ihrs0a6f62KQmn/wo64kMJTyQsWjiUsAQk0HevNuOlldZaxr/bbhr4p0f1y4frKT5gnzxJe5y6XifenyS8llxenmAvjyM4Hr/248iS5SKb5SQNWeGbzJGWFOGYCFHCh6yjhhQRsomMFKeuc0uOdDJadF4zJ85SR4CILgBweTw/MR16r4NtFxB8sPuWeO+8o3df//3v+mMtT9vkTo2Bjx1r36X8TBMj62sbxEmCUg241ky4vXM4b1FSI2WQi3HeURY557Y2WRv1A5AyGGDqmoP9fdIkQgrB0WTC3fsPWBlEGCdxMqHKq8ZWRBDpCKk0SoBSEaIKWSVaKaI49Li+DybUcZo0k3eHFw5lKkQck6QpxkPtYXJ0RNrr0e8PKWqDkwqvNHsHRwipGaUbeCIGwxUq5XGFRUcKoRKKumZ/b8KaS5AqZrA2oMgK6jr4oMRJiveefi+Yii9mc5y1HSgyGKaMNXzntT/ijbfewgmN9xJrfIjA9R7hLPfv3ENI14BACUSaC+evEF9JSHo9ysoilcZ7qMua0XDE5tYGK6Mh4/GAqphjTI4xBaurQ/r9lLIyLDLDYDBCqjDklaagKBckccR8vggRxTpCKw+uIsunDPox0EaZE6JGFeA91tbEcYKUgqPJIclgldlshvWKojIUjReNjjROCH75l36JsjZIJXFVTZEvmM/n/JN/8k9QSrG2tsE8y7h6/TpFUWGtC8a1Msim9fo9hBAopYm0ZryyyqDfB++pyhpQCCQ/+smbHB0edgBg67dQmjoAxkkC0tIfDVFK0U81W+urbG1vcevmXRKVcHnzPGmckJuCvekBlc+hrtFCopTFmhJnKvJszoXz5/FYdu4/INYaYyqiOCLLLDv37zM9OsI/7/m7/5v/jH/yT/8Zh4eHZFlGbxDAQusceZYRN1kwLJEcQa6mATRp+lt3sw6/KSWb7AjfAY9BnilC6wgpRZBOIhCaO/u7KKVRKmL34ICN7S2KqubwaMqVK89w88YNiqLk9dff5PLFZ3jl5Vd4cPse66NV5otdNlbX+exLn+X5Zy1Hh3OkSMjmU+azQxA1o2HC9HDCIEkZ9VYxwpDNMxxQZgVeWERU44C0P2A4GuGd57nnzhD3VlnkBcNhD+cM1lTUDqR0LPI5WZGD1BRVjQeyxZyklzTnqQChQgaN8ZRFEbIXnCGvFuEGHkV8/atf5ItfeAXnJFIFaanBcIAXUBYlaRSkf+qipMgz+knIqorTFKVDpksaRwR1pmAA3kai1HWNs8Hc3FULyqqgymedtI1SGttIASolqaoSmhu/9wEMxQeT8kE/DlE7zmKpQQmUVEgEpq6oXZDaUZKQRWQdHomUoJVCyBClHsdNpoMJT6sBDA3ZHS3xLwi+KMueIfUSqCqap9vWy0JK3T2wHGcvqUbWpwkRappoSI8O34cqBanFvKhCP97YIJKCylQEZ5mgNWusRStJVVZEIoiTCumxtaG2FTIKBtZFVSCk5mh2wMFkD91L2T63zsUz5/j88y9RL3KGcYpCUFUlQkqqqkBHEmcspXFEWgWj7qa+0qsA9srg9+KR+IbY8vJEcESIhGlIoySKKL3AGkOsNEmkkUIgoxhEMLQ/nEz5vX/7h9y4fR/rBQjNaDzm+c+8xI9++EPyqg6SPs6SVxUCOlLBWkucJMyzBaqQWGfRSqEa0kSmKfP5HGNqjDFsnznLoijY3dtjOp+hdIRQirJqpLE8KKXRUmGMYb7IGI+HTKYTnHPESYwQYK3BWtHVQQpFFEXoSGNdkPSC0O5CO49Ikl7nZ6R1RFlWnQxbHCustST9PlVusNaitQqZkVGMVgrnPYPRMGQO5CVZliOAjQ1YZBmTWUaUptjakcQ9hPCcP3eOwWBAnlnGK5LppCTLS2azktpI9vcOkFJg65rBKGHQ73Pjxg0qU9PrpZS1oTaGtbUeX3j1Vb773e8xHI7JRMZoOOTKlUtUVcnRZEYUxQFU9yXj8QbeCaq65vz5C0S6x+5eHny0ooTKVgipUFqCd413GRweHYbz1vgRgaelFdsgKLzvRNx8B6AckyGicaTqJss+9L/TmYXQTEAakgQBjdhWc28B4W0TsRUy7wQWjwt+OmiEj7qZrncGL+qwrJRIGQUSyLpAZEqFd3Xo9+EmFuoig8BwVVbUvqCWE6QQnN0acfHC1/j1X/9FytownWW8+dZV3nnnFm+8dZUbt25jJ5bBYIhQijhKKApHkmjiqI+xwdg+7cWUVcl0useDnT3+7M//HCEEZ8+c4fLFi1y8dJGLFy+xub3NxsY6xhiyrGC2WDBfLKhqgzUW6+ow/gnJU6fdf1o+LV1pJ+VPMDl/dNjqU+zqA67/cZSnAfw/ifV/0vJex/lYsLX775NbPizS5iO9vk8K0DwlgdIFISyttAxstxieaMkRHrH8u2zjL3p5ksyOj4AceWx7+CCZIeIxy77fcooE8Y/5/hGVCO88jaSsRxoPpW3apEQ4ifAC7xXWKuxQUAwlda1ROnhDiNYZnaAI4LzAOYGzMig61ApXKXwRXqICWYmOEBH2+FGplVWGU92r/a7LKuCkz4gkyC4pD9ojtUdqR6QsiTLhJQ2RDARJm0WynCFyIkvk9K6f8Fp90O7oGwLmJMnxeHLk1NpPto9jBuHRCywRQf4xe2ye5jktnuuXfhOI7ry2LykI/iJiiSwRrXrCciD1EgnSvpayQ7wQHYnSvTjJNYd6dgdzYshe7t7vcbI++H0raAf/xaOvu4v9uFayXB7xqzhNiIinOtc/08QIdoq0KVqoEPXcNP7haIBzCq01aZqSJDFpkqCUQCvHYNgjTlLiJCGKYrwPBp6HB3v4qqRcTMlmE8qypNcbBk1yUeMxTdReMMwVQuJFhI5ThKCJiDbUJkxg67qmNjVJL8VUBudgPpuHgF4VkS0WGGvp94ddNDVN9HVZlcxnM7AR0jl6gyQYtdcGbwxVsaAoa1SUEsd9ssmCrM4aStXhnEV6gdaaKI4pspyknyKUoCxqvBPU3nCYTSmLjK2tdVbWt0EqBAolFJPJlPNnznL27DbOG6qqYDQegrPkRRGMquMed+7sBlKkDsBikmrKcoEY97CmoLZFiFQf9nDeM5vNqK1HqJgoCRrvAcCyJL2ENImwtcA5hfeCXj8ly+fYuiBNxxSzqomcdgg8SgSpIWscTiccHc25cfMes/wmTsYYL7AO8rzi5u1bZEWJkEE+xXqCbr6p0VJRFXk4rihmnhX0e3164x4rKwrZSEI5AQiBNZb5YkFdVhzmOfP5nO2tLcbjcXMTUkynM27eukEcxwwGA5KoD0IwGI7QUYSSisF4xGA4Ik5ThsMhiZYIFfw+Xn3lCwzjAaasMVVNkc8xdYFXIHwAlOu6pMwz5rMJSRKRpjHz+QxrKy5fucT29hZaS5x1HB1N+NZr3+La22/y0uc+y3PPXub6O++QZXO2/CZaSqqyII403gaJG+891oQMglasZPme4XyI8o+iJEiupf1gdNz0gaoqKcuSYhYkcrJ8QV1XXZZJbQxnzpwjimKODo8o84JobZ1vv/Yt8kXG888+S1VUvPSZz3D53CV+8P3vk0jNME2ZHjqoPBvjDZIo4fyWQ4iIyXTK0eERr//wDeJoBLJHVhmkjugNV1hfPReIU6UZr65jfMhGMDZkzZRlycEkI601eVEym8/p95IQJaIscRxj6wIdR8SxIIkCcKq1JJtNQsZEbcBBpGMkCtdkjxhTEyuNc4Yiy1BK04tE0P5XITLYlTlCeFIl8HUe+lVPM0hGYd/WYk0OPhAjs2IGIpCXrfm0aKLenXPhXLfZIS4YIESRRogQ+e8JfgpJEjU3+RbADDOqcC2rQEI0ZIVzPsh16Qihwo3HOhvuQVISxQleCIwJAGuQOnTYRlpQqiChI4UM2R0uANndk0aoQVOPY3+b8PmYrAtR76E1how+H6S3mqwEa+pgcu4BbwNsKwS+8aeQSjWAscK6GiEkpW0k0HxD+uKIIkVd1URagvONXE8bxxIIP2c9fZ0go4SBHtATKXUBeVlQ9MvmXu8oiwzRSAlFSRxkk6IEWxvwIGWEVBG2zaBRgZj3voGkGxkhJRqzZjxOeKywxJHEiQBpz/IF+0f7zBczhFfc39llNjtCC0M+nzGZTbl56y6VcQxHKyS9PkrFOCDppQxGYybTCUkvJcuyJvAxkNIhwyy0o7o2VI3nUFkFKT4pJbUxLPKcyXTG3uEheMszzzyDcY7DyRFKCKyr6TUeIGVZgvdNZpFjvpiztraCRITsUCVxzpLEaUeSbW5shmyzSGHqmiybI4BeGgeyrTHnPjqakCQpSZLgPayurtLr9bh06QLnz1/g3/7bf8vR4SEvvvBC4xN1hm9959vcunU7XOE4+C/dvXMXJSP6vYhIJxzuz5gc5TgniZM+VWHoxRFbm2tcOn+BqiwxZYnNJHvv3MEUNWubW9ybHHD31lUGA4n0Mf/pf/o3qaua+XzG5uY6RwcHbKw/QxLFnfzjcDDg7p3bXL50mTRNkAJWV8akab8JgkgYjlLKogSG1EXN0d4BK2tb5HmOqQ3G1A2JCPjQ9+I4QVBiTIl3FcGdMIwXnmDU7v3pCc/Jx/HTpuptX6SRxsK7E8sG+Ty67BMpAtHijcNYgzEWpSLiKKHVP2jHJe8J0WDC450NPm8SlNQgAr3ifOO6oxTeuyYgAYRQWO8QSqOFxHuJs5YkiggZKSF70piC2hRNgKNi0NN89Stf4NUvvMzh0YSr197h6tWr3L17j/39KVmWYy0sREYvjRsST5JnwWNIJ0MEnrousc7yzu37vPH2dXA1Z7a3uXjpIpcuX+LihYtsb2+zsb7CubNb1MaQ5Tnz2ZyyKqmrijor3/XR+NPyaXniskRuHn/3FMs+zbS8GyOeYp1P0qz/k5o18UHLIw/rAwKsT4Xk+RN/fmrlke17uXwcFWzP+1Oek0eSG83xiOP7pji9fFsakO2nfxHeb/kAjfW92upTbfo9FhanPjx2rH3UCo8hQh613oc4Vj0ZIfKo9ZbasPUIHKoBhIUPHrHCCWQlMIXGVpKq0ojYIaKQVc1Ss/ZOBC8II/G1RNQSKhkIkbrNEmkIkeWk2hYQX67bKdC7Xca1GQTKB0+Kxrjba4/QDqktOjLEkSHVNX1VkcqaWNgGmHcPZ4uI42r81EpbB79MSrwLiXFytScs7+0fcvIRoCVARFeTYwLi9LbCEsdk00nuQgnXZO4skVNLL6THS79EfIiTZImEYKIYlvHCHw+pJ0iRZhn/MDmCECfH2Hc5T0/dGB41LP+FfB5ZPtBwjVpS76m28AHGwZ9pYuRv//bXWF9dQ8cxUROhqrQiSZoMDimJpCSOY2IdoSQgQ1QzKgCKzroAAChBUVzB1xV1lnPjxg2uX7tGURQo2STCCYmzoXNKGTURzgKkajTwPbWtkUqESEwcOgpR0s56+r0BxhgW87yRVqpI4h6RjrHWEOlgdp3EMdamTCZTTF0gPEwzR14bIpHQ0zFFFqLRlYzJZgXWeiIFxtVUlWU+n1PXNVL0cB6c1DhlcDic8dgaZrZgtnOXM2e2WV1bxScpk9kcJRR1WaEjQZQqiiqnKAu8N0SVopfG7B3usLW9RTav8DIYXAslWVsZUWRzer2U4ShBK0FROtJ+jySJiaII7xzVfMbKyhipApvrMBhX0+/3yfIFWipkFCFRJL1+AzDkqLiHFDlxQ1ZZW4RoBC9QUuOc5OAo4+q1O8hkgNCW0hjmWcbmxiZXnrlCUVTMZnNqY7DWo4Fo0Gcxn/PMM88FPX8ERVFw584d9g4Ogl9IVeGca7xIBGVV47zr5D+01qyMx8RxTFXXJHFEWkW8/PnPMugPGmkhHSKitWr+RmitQ+aIcNgyY5G7MCgvPRGE5uWpGnBaRxqUAR0i/hd5znQ24/LqRVSkuXfrHZ575hle+uxnqMsSU1f8+WvfYH19k1/5lV/kT/7kT7hz6wavfuHnePDgHqYu8d6GTCgRpIYcUJclvpGt0VqDCprvWmu0lMhGjsE3EcFZvmA2Dx4ZRV5QW4P14ZwJPFGcIIQnSnQg7aK48QCCvb09prMJdRXMmYeDIWVWcPniJW7fukU+X7CYTdjeXENSceudPjiYTeYUi5JkJUUiiCLFhQvncQiuvvEOFy68RNpLsC5I6gkpiaI4RJYXJSaKmM3nGGspywIBzOdzvBNcXN3ATKfkec76yhW8s0gpqAqLsxbrPNY4pJYggxyV9w5rPIoAlFcmbNM71xBqNQ4Hzjf9sUIpRaoitArjuVSqGc99SAEQYX0hBcbVzaAfJFyECDduqZpYbRGAcSDo9/tgCidk678RInbaxwtjTQM5hmsIxyBn+NxE7BAeBCzgXBO3IRXOh/fWt5E9xwZ8waOlkROzdTdP8z7IswkvGhIjVMn7dn9tOX44OQ28Lps2tyTb6agN51yTxSI6kqgldzw2ZF80ev7eh4ywQKi0WWmBcA+RTw6tdHiYlyK8F8GgTyndjQPOOmwliF3MQK1QeY/WNeN0He1jnCxQLvRxvMcbg9YRINBxTG3q5jwLECr4C0iBErIBl9tJbiBNYqmoXZDMQmtyb5BK8/a1m/zpn32Hvf0ZQg4Yj1d5/rnnee7F5+mlEbEUxFqxWNR887XXeOOtt7h15xr7+4fISLOxucHu7h5nz55ld/+gAYuD3JTsSCnZXN9AlFlrcXWNjmOybIEzju2XXmS4Mubeg7tI6cnnM9Y3N9g/PGA2m5EmCVoH36ZYaxbzOcYG03NjDYt5xiDps7G2inWWeTZHK0VRBM8UKUUgra2hyPLgI6ODJFZLDnoheP65Fzhz5hwrayucO3eW9fU1RqMhWgWS5PBwn9/9H34H+eKLVMbyYG+fg8MJxtnGJ8ly8OCQl1/+PM89+xlms4ytjbM4J/gPf/oNNja3iKIei8kEW+UMB0OUF8jakzqJKGBQC9Y3zmMwfP+bf87aOOaLX/4ssXA89+xlbt68CfQYpAl5HCG8R6ngn5bEMS+//Dlu3ryFUoK8WDAcJHjn2Nra4OjoiJXVFTY3RghfMp/M2RifJYmSIOuXl1RVGa6RCmaFoInjNNybRM14ZYgQISujnS0eR9407W55bhwawdKTqDjuw8dBck1m18O+GMEj6Pi9pDG4dDKMNM7inW2yxzTBGeg4SqqTyxM+jLsOWr+hMLFpiFIXMoMQrRNKiFYUTb2lAO/CcbdRY67JJhLBvAbvbMgw9J71lYQzX/08X/niSxwdHXF4kPHOzT2uXb/Bzdu3OTg44PCwDoE5aYrzILVCyOC55LxAiggRCdJYkNU1r799ldffeos0SVhfW2NzY51LFy+wtbHJ2XNnWF/pk8SrWGfYGyUPnctPy6flfZenmTueXvZ94ahPscOPWvLrL3t5JLj6AQEXcervk6ywlN3wUy3vVeePrX5LaOrTZLJ0WZrLm2nv0f6h6osT794bKP1plfc8A09FxD1q3Xf7/UM8J+87c+sxpMijFn/C+j7unIrTv5/Y11MQP/74Jdq5JQ5fiebnMA8VBrCS2gqoFTZ1EHuIWgC5UaZwIpihWxFIkbrxDzECWQdT9WVS5FHV7Z5flx5bl83XEQ0p0plzH7+U9kSRJYkMaVST6ppU1cTSHBMiLOPtfukSPWn0wUdTumsq2ltqR0W8Z32epKbHI8fpMUY84t3xOqffieX/Wox1iT5pwp26jBCFC6+GGGnJkU5OS4TMIycadQXVEB/LsllLXiMstwUX5gJCtHMO3w3HD8V4LA2f73alu8Wf9j7ySbg3fizl1JjWPBe8L8Gw48nlwxJ671J+pomRL3/pBcajERB8RYx1aK0wlUFKB9biTI0pPbYKoJVsupXSwRRaiQBoCiSx8BjvSQZ9tjY2ufnOTcrKMh72g4CDr/BeNACYpCpL8rzEexgOh1hbB+1zHXXZI1JK6jr8jaK4qasL8h9SNsbrDWBHu20aTeoB/SYyNkkTap+jkh7j8Zj9w53gbWEts8kBm2tDttZW2d3dxeHI8pL5omBzY41FVrLIcvYP51gbWHeBYjgas3fLsLWyzmAwZFpVSBHIpft3D1hbXSNJYuaLOdPphIsXL7KyskqQ3uiB0MxmR8zmhkF/QK+XgvDEiWZlZYjSgA9gQ5LEQJDMqKpgiBspTW1qtNZYUzegn8O7ANzWlQkZCHGCEooyL0FIVCQx1gAGqQJA4rxHyAghIyrjeevqDQarGxxNM1QcM5lNKYuaM2fO4JzjrbfeYndnt9NjB4kxNdev3+DChYt86Utfot/vs1gsuH7jJmmaBiktIRiPV9A6Iooi+sNBB4imaUqv12uIE7h79244FmA2nVEbQ9SRAbohGyLSNKHfH5IkCdYYhPDBm0GIDswRKkQ9I2g00y1lUVACvV6PrDFA7vf7zOdTqqrkK1/5Cv/uf/1f+Jt//a9z5fJF/s3v/yv29vb5+3//77EyXuF3fvd3Ga+ssL62RpZltCB0msbkRdbUa0ykY4SSTR+zHTmUFRllmZPN55T1MWmUpmnwnOhFaB9M7aVKkUqgVSD/Ih0Fw2MP1ljSQZ/JZEKWZcxmM6qq4oXnnuOLr36Bezv3+O73vsvLL3+OP/2P32Q0GrCxsYKIY7bOnWf7wiVUmrCyFiLAldYIpZEqxtign+8bGaa8KBDSU7saL0SQLZIe14jD9HrDxlxekiZpc42H9Pp9yqpqvFWCd0OiI4QKN05jPc6E82OtRXgCkeQCWekas3kdB1ksqVUwmG8AvQDOBQmy9sYvCBkVnR6/IID03QjoO9Av/FO4Bghs50UtIBhMx5dlpsKYZ5w5JiaWsjCgJSmayG557AXSyti1vy2X40iUcHNr+0YHYD8i66PT6+z2efKv9036tW/32c77fPeA4hsSpj2X4dgd1ge5sBBwLsCG8T542ojm2Sucvc5YWjT7EAqJbB6yOzi1ISmCR0t7uLIBh61tiAvn6Pf6XLl4BSMkZV3x6is/x8og4fZ0gtASreIgcRXFGOcB2zywNRdPtobS0Ea3iA5wbq6ZDxMF6YI5dtKLqZ1k/2DGt775fa69dYPdvRlxOqI/OOLs1gWU6pPlFQeLCdlswo0bt/jTb/w5N27cYDZf8MoXXuUXf+mX0Drim996jd29PebzeXet4jjGWdvJUrUeX2H+4hFSNhlBitrWmLpmPBqxsrJCNp/hnCNSikuXLvH6T36CqSq8swz7fc5dvsLuzg5Ztgim54TMlNoa8jwnSeLQFBrQut1/K6lVlhXr62vkWQ4iSMkVVc1f++2/zpe/9FXStEdv0MeYOnhYFQu8syRJj1//9d/g93/v9/nud7+H91BWJVoHSbc0HeCcJ45jNjY2ePHFlxAyIokH/Mkf/ykvvPASn3nxJSrryBcLsvkRX/r8Z/naKy+z+/YN3vnGD3jlF7/GuZU1bu3e58fX36KWlgsXzzKcp4zHfabTCVGkmc1qiqJge3ublfGY6WRKEgfj916vx3g8Ii8ypJQkSUJRlgyHQ+IkochzknSLYW/AZP8+SZKQJillaZnNZoBAa4VtEseEACUjijxjNFT0ej2cd83EQzSSgCpkLDURUseeQA3h0eGWx6Rmu0jr39KOFw+tu/TXe4+34fdIB3lKa0P2a/vctTxudGND812bnYIQS/U8Nmt33RhyXO/lUWupYtjaNXJqAikCoYH3IbiGIKuXZwsA1lbGbKxvceXK83z1K1/iaDLh3v173Lh5i+vXb3D7zh1mWU4cJ0RxjBceKTRe6yBLqMKzaOfT5QX7B0fs7u5z48ZNsI7xypjRcMj29hbnzp5lfXOdT8un5X2VDuRq2v0HnWyfBmI/9LI0UX5fu/lLgSY05SnBg6cBVZ9q048BbJ+kMh+WTOBHctmb4/q4JdW60OXTPzymHo/rk4+4Jl2E8xIY+Ukr/t1IgA9cnnC7T9v+n+b3d11cHIO1j/r+oa+PwcB3K/5dF3oEWP6oOjwOAT6eAjaEhgdJR1hIE97odpuuIUicQNZgewqbenzUgNYtLOqaYBYnOgJEGEKmSPu5zRR5RDN+V1JENJD+siF3+30jxySUI9aGflwziCp6qg4yWsIiHwnzH3/T7sY/8vePr4Q57vF87d3bwVNul/ZUtgLW773d5fWOSZVTVELzvC7gOBPHB+LDIdDSoq0M0vLCoqVDSRu8EWWDV7QZI1KcuMZLewl/l4baY1KkrZJYGjBPHcFpnunkEZz6STwkzfXe5RMSOPBxl/caot5jneU+/6TlZ5oYmUwO8LYijqIugj2Rgv4wWWpAKV4EcAM0QiVQe4QzwczHB+3/LF9QliWz6YzZ0ZT9/QOmk5yq8jinEKqRTRGBFDHmGCSez+edvE3r4mPqgDpY64mjpAHLfTe5L8uSwWBImqadlJfWQVbK2hrrgrwFUpDNFqAJ0hlxn34/7aKFVRTh8GxsbiK9Z7yywv7+IZWrsVZwcDglTmIe7Oxy6/YBoiFmhAiyMNZ4QDWECfR6fY4Oj4h0xOrqKkrKhjgIQEOeleR5Dl5zeDBlsSgAxWCQoiWU+ZwrVy6iJERakefBsyDIrdQURc7h4SHnzp0L24Fm3BPEUcz9e/dZW10L0d3W46QniVOssZRFDSIMKNYbimLBoB+jpKKuA7CphWJ7+xxnz56ncorxSkJhatbXNzk6nAQ5qyRhY2OD+WxB0vhoJEkPay3b22eAAOiur68zGAz45V/9qwDddT48POSb3/wmGxsbVKZurqHvXhBApbIIBuatGXm4vkGmqaqqkL0gBFUlUSpIY7ReD1Kabp1glB0kiZb3I2UgK4QQFEXWgMLhfF68eInJZNINHkmSUpYlL7zwGc6fP88//u//Ry5dukyWZTzz7LOAYG1tNdTH1Gyf2SbLMhaLBUdHh+RlRZYHKawWhKxNgXMGrSS9fo+0l+I9xHHrA2CD0bYSCBW8KdCafr+Pd6Ix5gZrPVVVc+vWLeI4ZjabkecLEI7zF85y7dp1xitDXvzcS3z3Bz9mVlY8t7VNJSS/8df/OhvnzlO4msHKmNLUGKCXpAip8VWNEpJIyADuIoh03MndRVFMVVYdkGbq4JEQNeSmc46k12SgRUH+Du+J0wRTG2ztgsyMCFkeUkmiSKMaeT9nHUrEzTylyZKAYAjWRjP79roGOS0IN0zR3JQ7Xw0lGj+e5jIvTWCkkF0UP0uEhZSik45aLmGboT5KPmx8fAx4H39u2yeE51zn/UPb7erTjHPL63Vmz0v9JPwW6rxclkkc5xqglpPHvrydNkulJSu6z15gTfgrG8BUComQwSfmRIaKIGSMyPAU5BxIVEuznDgn4XqGc+idw3o6glspiZeKONb0+z2qRoosiROU1HgrmiwgD17gLXjrQLUJwiGrJdQsyJAtA82B4G/OA40NtfDEWlMXJTLSTA+nvP7jN6hKGA9HVDVMD6f8+z/8I37wgx8QRYpIgbUle3v77B3sM5vP+cpXv8Y//Ef/e86dv8RsnnP77h3++T//5/SHI6S1LOYhW6OVU+uMtBuy3zfEiHMO25DCWgVj9O3NbX78YIe6qpkVM0arKzz3/PO8c/06RVGyWGSc0xHnzp1HKcHOzg47OztMp1PESDCfz0CNSdOELFt0/bOqSmwjQ5ckCUVRopVGaoUpcn7jN36Dv/JXfhlTW+q6JtvfZ7FYMBoNA9lbl7zxxlscHh6idcTh4RFra2u8+uoXSJKY7/3ge8jmmPACazyDwQClU1775ndI0z6XLj2DI3gpFaZElpoXnn2O1ajHcGWDZ4YbuLv7ZLHgR2+/zoHL2bh0hvv37qEEwftLKdI0ZTIJ96nt7W3G4zGz2YzV1VXeeecmSZJw9uxZ7t27x9HREefPniGKE2bz4BE1GI7I8pz18TrPPPsMeZ6RRAnjlRWm0zl1bej1hszLAmtqojjIlyWxaoiWGCU1dV0gEUFK0QZPl+OMruWxp2mbJ4iQk2X5q8eNF48qbX+T8pj4au974SW6e2D7vWjGnTbzzS+NUcvZZe04fBoEaj2LQvaTCxJ3OjwmG2OaAJZmvI3ijrS2tgIsSew5uz3m3Nk1vvLlV1hkBfcf7PKd73yXH//kdW7cuEVWFKgoYjgckfZ6eAtlGTKxnPeY2hFpjRSarDChb/kFB0dz7u3s881vf7/z+vq0fFreVzk9yf8wyJGlLLGPrLyvZv8x1e2nXT7okPCI57CHl/kIxx3x0Jv3Xz5qcP+JzsNH0ObeC5g+sewpkuNR17eNxvWn1vsklk8COfJRbfe9+t7jjv2x1+rdd3qi2ZzeRhel/4j9nsKru8/L75fJho7UOZZLamLawhzXBu8RVXt8AU42cyAP3glc3BIV4gSrIDqC5CQh0gLNj+wmjyNFlt4v+4wEY24fvEWUR2iP0pY0qhnFJYOoCtkiwnS+Fo/qkA9dskcudbo8gpj6EEt32Rpw/jiw6YPtc7k5HJf32u6xOspJAiF86n5pVm/jBptQUBwQCYGVEosklsHzpVSKSFqUdEjpcEqeIEfaa33i1VQz+NE0J6dpx75VjlgiNDzto0/bPk+TJseH352TpQbwNFkMJ57X+KhaxiexPOJI/aO/fmixE+PWk5+xn2li5MzmFYbpsb9HXdeYylDlAcCZz+dUZUlZVWRZRrYoyGY5eV4yn8/Js5yqKsmKgjwvKMoCawx17RgOhzxz5Vmsj1F6QFUXSHUM7DkXJq/xKCbLM46OjsjzjI2NdQaDPlVVBskhEYxVtYzw1hNJxd50Tpr2ENo3g3sAtZyzWFN30YxaK0xtKesKWQhSKbF1BbSTccvZc1tUxSFpmrI4OmrkXSRaJwhRkiR9sqxicjRjfW2TrMrI5wV1ZcnyI/YPZqz3eqwkfepFRm0tQkieffZZ9vb2GPT7CCFYXV1lMpmSZSX9fp+itDjnybOClZUV4kiSZwuUkiRJRF0VOOcoipxerxcyCOKYg4MDkiQhiiL29/fp9/s4FwCH8XhMXZakSUK2KDg6OmJj6ywra+uAYm/3AB8lODw61mRHBdbV6DhCioh+mnC0e8A3/uO3OHPuAlnlycoalKIyJUcHh7z15lXW19fZ2jzD5UvPUFXHpMVkMuU3f/M3WVlZ5dbN28RxzHjkUFHURA0HD5CqqijLMlyD2mBkHcR3XDCxVUqxWCzI84w47iGECiQAgqqqOxLMWkveeJPM57PgL9KcG9UA8aej6rUOpsd5XrNYLIJcmpRdRHccRyyyOefOnWU+n7Gzs4PWmuvX3+FrX/s6f/tv/23+6I/+iM3NTV599VX+yT/75wxHI+IkZrw65o033uDOnTv0ej12dnYC8UIAi6IoQjeSdVpH9PoxUjeyRN5TNQRQ1AA8SEXSC+BRVYTMqoO9A0xtqEtLUZRki4wHe7voxstkNBqRlRlSK8q64j/82Z/xzvVr/IO//w94+9o1fv5rX6U2Fq08veGIrbPnOJhMGYxWGYzG9JylqCq8BykVURyIvcn+HhLBIsvQcUTaC6bQ4/EYKULGmZYSHcX00hQA40K0sXXBwPdwcth4ixi8gEhphJIIFbIHHD6QVzZIpgF4a5FNRLC1FussaZwELw7rGhcMHx5GnUerQHAo2d6UG4NzKWl9AY4jpo8H+mB235AI7Y2zJTHcMhEhuuwRIUQXObG8PAQQ0RjTgY5tab0jhFSoJSLldDlNrCxHeS8vE/4CPEyydAbwUjbPRcdA/OlXm4F3fD5aQFNiaheyk1qSqdlpm21CQ5QE8nzpWKVeIlqCz0JHV7g2Et3jpesi15UWlGVOFPex1jKdTXEywtSGg70D6l4aSDMvcLYGD3VVNxMJAfJYiqiV/gqfXXdcQgjaoKgg8VURqyBppiKBw3Ph/Ba/+it/hf/1D/8MISVFEfwlDvMpOw/e4ez5s2xvbTMYDjl4+2roQ/0hWVnyj3/nnyKkYjQccf369YYoCtkXw+Gwuy5tn/XeNj4n4bwKwqSln4Qsu9l0yuTwkIODA/b3D4jjsN7saMLG2jpaSI6ODtnduc+Na2+zvrHBaDSmn6asra5SFQXOW7IiwwlH1AQD4B3G1NS1DfKZWuOtpa5qhPIUWcYv/OIv8Fu/9Vvs7U+QKkKriLKomU3n3L59mx/84Ptcu3aVw709nBfEWrO9vc1Ln/kMX/+Fr3P9nWtoqZFe0uslLBY5RVnSG/T57nd+hHVw+Zln8ARPnf7aKlffucaL587RN3Dj+z+hVxrii1cwVcXbb18lGqYkDqywDMcDPDVlVTLqjfHes7q2xrnz51lZWcV7z/aZc4xX1pDqDh6ojaE/GLB95gy37tzl61//RQ6PJqi6xs5qVsZnqJ1lZXWdMo+QSjPPFjzY26O2Hls15GuT/eacR8ngkWNqGwgnJXF18OXwQh331/aBfilTp+sHvh2T2nGhJSQ4jqY7PQeHro0LKbpso3ZfTRxhyJJ0Htdkb4V1JEppoigENwTZPt8EFwSp1JbAwx0HE7QkV3c8vhuEmu8ESdIjilwTkOAa2cekI0ba7Mj2PtOSN6IJlrG1w0lFP4149vI5Xn7pBcrKcPPmLV779rf50Y9e58HODkd7OwxGY9bW19FaM51Ow7Em4XjiJG78nUqEEPS9piwbv6dPy6flg5Y2c+pJQhffc5EPg2H5qMonuW4fVvlQmJF3+fpnCYoRT9am36184ObyMbS598zWeo86PE3//9DK+2xHH6T5fVhkz0dBGp2IHHnsQid/e5d6+Cet47uRLSfTiJZA46Y9nQImO+KhJTBEgLu779r3UjQ+DscrChfIEVkLVLVEShAIEK8bgqKLBhMNqRLIkOUUjBPA+nLTF8t17DYT/p4CyI9NuX0noSU0oB2RdoEYiQqGqqKnTCfd9DgPhCfEcE+ssTQTf0QGxYdXOky/ff49fdI+4LZPZo6c2u4JgqE9ylayuwsRbNYMW/JNfTtClwBiOxxaWCIhSKSkUobUKXJlQ+aICh6EdPJoJ8mRE6TF0vvlbKITpIg4Kat1ohudbgaPOo2PIU/es5zuc4/gYf5SlOWDfsS5ezhL5BHj3LuUn2li5Pf+5e9hqjKYXjYeEFVZUjSgtTc2ALTQAM0xsQoAfZIk9PspW1vrDMdj+oM+INhY3+ToaMJrr30LHSnKbIGSm0DotCEDwDaRwZp4KWowANZl2E8c4ZwNunZLdZhMJl2kqzUhOt2YCrSmHT6stSipMMJjTMloPMK6OpinUmNtjVQwnR5y4cJGA16H9rG3f8De3gGD4TrT6RwpLMbkGGP4wude5Ci7yt6kaIDDhMlsTllvUNWWRZaHqHep8MDR0RGXLl7k6OiI6XRKHKeMxqusrKwwmWQc7O+BUCRJTJHnWGtZWVvBWt+Y0Bu8F8RxQp4XRFGMMZbLl5/BuBqlFZ7g0TGfLYJB+WhEbQ3poMeaCrJTk+mctD+kdg6sx4kQPW6cAyNAgVaS2aJEqgH37u9w98Eh6JRZUZAVBf3+gKosAMiynF6vYj5fBPAhjun3+zx48ICrV69y8cIlhsMhRVGE693IrkgpMcYwn8/p9XpdJCnQRcSHLIkAJg+HY5RUFGXZAczeO7SOw/mp684YWzWeEkLAfD5DKc1g0O8AGK11kNqyAbhaX18LPhk2REEfHR2xNh41beyIs2fP8Nu//dtsbYf2LPD82q/9GpubmzzzzLO8+oUv8e1vf4e19XWcc1x/5x2ee/754PGSZWTZnLNnz544RqU0HijKMpgje0dd1Y33isVZTxRr6rLmaHJEtiiYL+ZYE/wC8jxnMZ+TNu3BGkOSpvT6ffKipNfrU5YlQnjyPCPLMn73d36XZ5+7Qpwm3L17lyQd8fwLz7K3e59YJwg0m+ubFEVGXdbBvFkEQ/jdB3vEccKZM9tsPbNCXQUiZraYBwIvCgSeVBHOmSB1EinKMseaEH7iJZR1DUCSBhPkKApjR91EoBdFhXUWpZsxJo7BEczGm2wfCEBkrBRVXYebv1yKfhYCfCBbA+HQZIk437Ut549lYdox57j9yQY47CDzkHLakRPiGHzsHlmaSPU2PuOhTA7RZSstZ3y0ZuduaVl/anL2cBCSPxG9fZLwg5YccssAJcvPzz5k0zz0IBVKKznnG58LoMm2gihRS8fcrhcERIN5vGiw/2OQF5oIoObJTSyRMILGzK2JJgneBo5W+qzX7+FlTHa04MbNm5R1kIvb39nl61/9MknSQ3nTjH2KuunfToQ2IoLNepcxhAxCb+4EKbZUL1cRxQlFXVFVBh31iKMef+fv/F0ODjL+l3/7h8RRnyKf0x8M8Ei8t5RVyeG9CU4Itra2WGQZ3//BD3j72lUunL/I+vo679y8QRzHQbaxuX7GmBPXrx3DUCG7JokTTFk1sno9rDHs7+9zeHDYjG2SKIpYWVlhd/c+kY5YW12hrgr29w/Y27nPy6+8ysbGGmmSUNcVVVkzn8+RUlJUIWutHavGo3FH/s1ms1BP78jLghs3bjZZITVX33ib69dvsL9/xNtvv8V8NiFOI1ZXV3juhZc4s70N1vHSSy9x8cI5rAsEQkt4OxHe18Zw7+4DHty/z0uffYU46WGMY+PsGXYnE1ZHY7740svYWc7i4IjxxjrXd+/x/W+8ycaVC8yrDGKP9HD9+tusr69z5coVrLXs7+8zHA3JsoyiKBiNgmdVHMecP3+eyWRCv99nMBjw4MEDXn75ZW7eus2VZ5/n6OiQUTogz3PKvmY2WzAepjRNCO+hrCqSqIeKYkxZUlWGfi8hz3PSOCbLCvb29knjiJ5OcNZjMUjdegc9HjwL3JgPyVCnSFaP7zJ0HzVILGd1LI9rzvluwhnGymPfImsNUHf+V3KJVLGNH1PbV4SgI1jb8aGtg+jq4oOmMCfHu7CvkBnYPge0Y2OXqSI83lYgLHGsQMY4F9at65oyd+go4cUXnuULn/8cCMX1a9f45mvf4vs/foM3r75NWZaMRyvEDTEfRVHIPJYC48J+J7M5VVU9VebNp+XTcrKIhz8+Sejik0hvPapdftTR+09anrTP/LTq+3H26WXQ8z2X4+Ot24dR2uN735fSLz98foB6vI/z9rTt79363Htd544U+QS2vQ93hx9sEfHYDx+8iIfePHpXp67zuxIg73WOxWPen9rXiX10WRuPARmbfR6DyeK4HoIARDffd6C0FN2+BIHokC7IvEpLyK7HgzrVl9tYMR/Ik+Xf/LsdW7voEgkSAHDfZIicenXZIhYVWaLIkKjwilWNFhbZsTNLFXhfROPxnPbh0+sfs+QHL91Q6U/OkN8PpXNimyfKw8SL4GE5qeNcpfDUL4V/xHDoO7xENTuKsEEiC4H1BusrvBaUWpNHmspovJJYJfFKLmUEnSTGluXTTh/EMSnCcSNaqvzxUT1teZq2Ik6u8kFucX9hyknBtq5/w8kx8y8LMXLrxnV6aYiwH/RT1lZHJGnCYDAkiWP6aUoSJx3wPRz2UVp0EfmdVINWSKWoqgopNLdvQ/nnR4x1ghcZhgVSEYyPTYhSFULRyiQFEHzIaDRiZ/cBk8mU8XgcTFMb2REIk/75fM7m5hbz+QIIQLIxFbWpgeCRYiuL90G6Ic8L1tbWKBZ5AA2jVkIigL95UeC84+69O+TTeSMNVLJ9ZoCKYm7eeJu1tSEXLlxEKonWEu8NpqqQSjIYDjmazHHeMRyMycuMe/fukS/mrK2vMplNmGdzrHekvZStrS2s9YzX1rhzb4ftMxtBPqSRWTLGsFgsKPIF3gdwMstLhAAzzzC1xXqYzTOEksyyOaurq6BgupgAkkWRgy9ZLApWVzTD8ZjKWI6mc/LDIwyS0pQgNcZ5hHE4D5PphO3za4xX13hwuACp6fX7qCZCWamI0WiFxSLrrn8chwyPoE2/ztHhlH7vsCF/Juzs7HD+4iUWWUaSJGxvb3HmzJkuS6PV2Qc6g/aWvDB1MGV2JnxWWuMbMNY5RxzH9HpJB95UZUGkFePRsGujod04vDOYuol0dQ6jVADSo4i8LskWc3pJxHQ6RUpJmqb8wR/8AZtbG6yurDCdHLG/v89kMiOJE/75P/uXnDt3nu3Nbe7evxuMhQ/26PVS/spf+Tq7ew/AB6KnqkqMseR51WXL1HWN9R5jaubzBcYayqKkriuKrGCRLXj5cy+zOhrz/e99D4QIgF7ax9SGNI4xSrBYzKhtHTKohCeKQmbF3Xv3OX/hAp/7/M9x8cJF9g8OuXv3HuurlmpWMNk5RDtPX2oOH+xSVyV1VTSEjSVOeqRKoZznaGePiXAsFnPiJAlEDsEnx9gaU1mk8DhTUTtLWeTUdfC3QWuSSIcHMAkbG6td9kCaRqRpTJ/+cZR/E9LgvENLGQA1Z3HeBekpFYBvrVTwvmiAdUGQ4vL4AMh2k7LgueONR5+SolrW12+lnrpMDYIpeBuvsZxdIZoI8PbpUjQZAa7JUFgG/ZalsE4QMQH97Ma17vslIub0LTtIEdHJhLU16FJWWTps39acpWN2D+2vjdxw3gV5GyVQOloidRrvkXY7DegppEBKjWg8R8IzVbuPBgAOGldNPT2OYOKGCPI+zjUZPy3x5HyIXCEOUmNOYKzDOYkUmto4FIoQuCIa0syhtGzOdyPRIyWiAVy9cCGbZWkyIoQ4eZOXEWVt6CVjkkTiUBinOTooWCxqknhMr9fn/s4hOnJ4r3jzzetM599n+9wZBoMBkY45f/4Ck8mEg4MDDg4PyIqcW7fuoFSE1oLFIhDJSutwL2oAZuEbQLmpc55lKBH8L6ZHE7Y2NtFSYeoaaw1KxUjl2d/bYTQa8MUvfJ7dnR36acTayoisyBmPBhR5RqQlvd6Q2lgW+ZyiyinLEqUU4/GYlZVV6spweHiI956iCGN7rBRJmvCT11/n//Lf/DccHs6Yzwu01MRpkKk6c+YMg0GPXj9lPByztrbG2bNn2dpYYz6dIIRnc2ODNA0yhChNvz9gd3eXt95+i8/+3MskSUJdGzyCNEk43Nvjs88+iyoq7t24wUBL8ljwb773DepEYKsRKo7oJzEqkgwHA7I8ZFVmiwJnQauY7a1x409WU9c1b7zxBuPxKsELyzEcjpnNFqyubbB99jxeKJJeymI+J1KOF567xHwxZ2XUI9IxjiDpmaS9kFlmgkeMQiCkQosYpTSrq6sdie2Vpd8fNRl1BqRHy+VHxpNPmsek67FvUttfQ2DqqUf4JmXreCw4SYqeLg+TcUHuqjI1xlmSJEGrMFb7hqhsiZY2m6xqnlF6vd5xX+pkqUSQ2BPHGSWBbGnvwyIQfc39G+iIGO89SgpkkxlqTY1zIRhGxRohBGW5wNuKqswoq4rV1QH/2X/6N/iN3/pN3r52nTfffJM33niT3f19TF1QFiVKRUitKIqy63dStPv5tHxaPqTyRJNGsQSk8hRRjqcm80+18k+h/KyRACfKe9T93X5+5G+PAUGfdr9PVD6CNvG+q9W22UeE5H7UTfeR/eUpK/AkbfgEKfJRHNS7AfMfdx97n/sTp/5+JGW5jz0dOfLoVZ6gz54mTh6xfDcja39rn5MeSTaIpfcckyLdOuKYGFGN8bUUOA1OCZwWwWZELhEbbVyaF6EbniZGlv8+4fU54Sci2v35pl6czBbRxzJaUjt0ZIkii9YueFiIJkCu2aAneJN6YR+x5/fuY6ex+PeiJj7sHnsyeezY9PzDaPzHW1iSaePhZsjSo0W395PMyYn1hG/M1dvtSd9x2lJApRVlrDFW42tJXWmsbEmwMP84IfvWzkHacyFo2q4PBFyjO3bs0dK9+QCn6r3G+0et8gl+fvo4S3ORHnkXO02OPMU952eaGPm7f/dvsrWxHiSHGr3pJEkQWoMx+MYs+1if2jZ6/gbrymbCLjE1uCr4HEihWVkdMBgmlNWM+eKQOH2WfOEDGGzDtpIkbgD14A3RSs+kSY8sDwbS/X6f/iilKPJAEGRZB9YBZFlGXYXIWltarKsb8M4jVQIEQCIYt2usd0T9Hr1+D6EkznsWiznOW+7fv8+4H8w554uMOI4QSpP2UuIkIcsz7t+/S11V1FVFni8YjSLOX7xIcXiA8xAlMbv7O6xvrLG+uoLWiizLuHzlCtPJlKqscR7ysmKxyImiBCk1CMVovIqYTxmP1hgMe1jnyQpDpBwIGI1GzKeHjEZjdvcOyKscqS2zbEY67FF7w2wRMn3Sssfu7gHj8Roy7rF1/hy/+hu/wfr6Fvd29pCRwwtDnteUVUEcRSSJZ55XqL0DdBSBB2PNsRxSE+lpGw+H2WwWPCOaa9JG27eRyIvFAq01w+GQyXRKHEfs7e0ymRwxHA4wxlAUBcaYcK6FQErVRdiDR+kAcmo0Ho+xdQOEB+AoyGGEfUaRpigK9vf3GvAngKVpmjIYDBgMBqRpjygKJvZVFUiK4XDYmAgXIfpdHIPccRyzvrZOXVVcuniRW7duYeqa3/2d3+X73/8h//Af/SNWsgW7+7uoBtAcj4fs7e9weHBAVVcs5gvyImc2XbBYLJBCUpQV1gSj67IskVKQ9npIBCsrK1y5cIHLly/zX/6X/wVxlHDjxk22trbo9XtIKZlOjzCuZrGY84Mf/ID/8X/8XSazBZ64A6Mmkyl3797n4vnzvPzyz1HXlmyRs9IvuHj+LFff+BGDNKHKF+TFjF4S44xBeEeiNIlWGOepizxoQ4aAdpyr0Bo8EqUCoRYnEULE1MYQa82wn+Bd8PSgkbYy1jRPDg6lFdZ6tA4eQt5avAheClKqzkQ93F19kNJSkhb601IiIwkumMEXRbZkZB0Gd+8CaCeXgMBlSTUAIY6lrJbN0aUIIRCnPTiONfZ1I6MTwshbD/FlEPG0H8hprf7lG9CjopdPZ58cZ1ssGyMf/4bw3TGeXvdR210mbE7XvT1fIbOhfZLygAoPZVKD82gV4axoLT3CdmwD5EoQwoULsVRfKQTIENUUDNODJ1BgzsMprX3I+RBCo1UcMjScJ4lShJDga4w1SGlx2M4zydnmei9ds5Z0AHDWI1VznZuIdo9H6ghBRGkFXmpuvHOHvf0Z86xkbf0s/8nfuIwxjs9/cY7Wktlsyt379/B4xqsjkiTt7oVf/vKX+dzLL/Otb3+b1157rTuvbb9sr1ErP+e972SSggSkR0cRwkNRFN11Ozo6Yn9/F2MrpPX4osLUhl/51d/mi698gd3dB9y8eZPr168zm8+R0pFls0CKFCETbDweMRyOWCyC6fXBwQFKKrJFTlVVXeaAtZZFWZGXJf1Bj7q2nD93gbW1Tc5fuMLe/n6QCTSGra2zbGys0e/1GA4HnDlzljybk6YpaZowm08YDoYcTSYkaYx3gkWWs7a2xtr6OnlWopVgtL7GfHLIio7YGo1ZzKa8eeMaxuT0d4e8+KVXyIUhwzKIErzy5EXGaDikPxgQRRGjcUxe5KRpjySJuX37Dlmec/7CBe7cCe9X19aA4CW2t78f/FSSHr1eD6EED+5l9PsDyrJkY2UcCI5EgIyZzeeUVYVOdPB/8cGzqK5rkkh0mYnr6+scHeyTTebgJYPxGFDh2aklDUMLZXkmcBwAwtJ9riVqHx4rPCf7b+sPsuxPpKQk+KLZE8RIszV884xkrO3ao9a6y3Q8naHWjTenxpST2w3LG2NOyPO1cq3t+HhyXdWR3HiC11QcyIu6Mng8aRrub7WpSJIwWExnB0Q65XOfeYaf++zzzOa/woMHu7xz4wZvvX2V+w92qOqaIp8HyT3Xevg8avL9afm0PEH5IDhHCyC0CMr7CHY88eGTkk3yF6F8ELC5Q5o+5v2eLp+05rB8bL7772Pa97v88GH0m+Xb+EeB/H/c5MdDKOuHvN2P8nDe41z5xy3zbkTJu27y4ePxSz91P7akRwMQP4zeN89US/s8ubxYIiGOM0W8at7rQIr45uUacuL0fk401fa7ZVLEL5Ee79Y1ThurS39MkCzLZ7XZItojtENpR6QNkTJoeQzGL9fL+2NAvftSLH94t7IUXLh8jO+y5HF2x9OWxzeM7vbejXXvdULfe7uPQAeWSJflZcSpfbd7PxbYCkoaDUZKy0scLyvwCBXIFCUcVaSoUVinsLWkrCK8lgglO5k035Bxx+2ubb9hn160c5728/E+j4mkZh3vn9I3pNvsUw4vbaN/yn39RStLzeghUmRpHDvRL5+g/EwTI9ubKwyHSSddZExFjYEyTFC7YI8G9FFa4R2dDFY3cZehN/Z7PcqyIooixqMRs/kiZADUJgDCdYgCjKK4ieYPALc1wUdgb28vGJYrRVmV5HlGpASDYZ+6NOR5TpIkHB4eUddh0i1VhNbBmD2Kezx4cB8Q9AYjirLGGMtgNERElsPJhMXkCKTn7NlthA4Gvv1+j95oQKKjRmYBDg72GYxWUVqjtSIvMuJ0TJpohHA4Z0nTEUVRYr2nPxpSlAVxGvPZz36W+XSCdZbL21vUtcU4xyIvuPbOOwz6Q965eZNe2scYB0KzurZBVRtmi5zRygpKpxwc7hBpxer6Gk4oagu1h6KsyYoML0sqW3J39x6LxYLZbEaSJpjaUVeeweoqWZ0jjWX74nm0CpIus71Dolgyn0+JIkna63M4maBVyuHRAavraxTVT1BxD7zH2iarw9GBP62ROhDkmwgR8rdu3cI00k+9Xo+DgwNm2YILFy4wm80wxnD9esiOGY2G5HmGUrKRgGrAFCWRIrQPY4K3RgBSfJdhZEzNysoKFy5cIM9zxuMhzjlu375NlhWdLFf7quua0cgyHA5RKgE8zoXtlWUZ5FPaTI6GBPrjP/4Tbt++xaWLF6jKHCklZVFx9epV6rom0prxaASE+t27d4c41hwdHaK1YmW8wedeepHaGH78ox/zwx/+CK0Uo+GQzY0Ntre3WF8bc+7sGba2txmPRmxtbzVAa7h5TI522FgfMhrFHBzsBlhceYSwxLHgr/7VX+Focsh/+9/+vxiNRh24PZvNODg4pJf02Ns9YGtL8bWvfZVnL13i9p13uHnzKqNBHx1JEqvRWqBVghDHJrwKQZJESC0bKRgIqNVJkEx10bcJLGnUSxluiq20XfDVUCAE1rsgM2Oq4AvU6uMjEd5iqhp8uJ06K0M0jA9SUZkx6Fjhm2hn70JWSJBrEg2fEoZx54+BQiGPDdZt4wV0TIyEp7tjCaplGZmT5AFKhuwULxBNhkQLfLfE3mnioZWWgcYTIHzZbfc0qNgu95AJO8EMvq1LABXBumMvk+UobHFqH8eeGyfr9Khl2mMK+woPWFLF6DjF+3A9BZ7a1M09IWRzIDw6khiThwdnF66bkDJEBdkmkly3El1tNky4+zofbOFqU2JM8CCoTIWWAkEgW6yrQXisC/4iUkbh8a8h4FrJLtmAyta68DDXBqYIGTK2bJDaSdMBd27e48++8S12dw9BJigVs7axycb2GS5fOk9/1Mc7x81bd3nr7be4c/cOu7s7LLKs8yja2tpmfXOLl176LG+88SamIZKXr4O1jURl82r/tct5f+yPIoRgNpsxn89JeyllXaIjRbEoeO7ZZ/jCK5/njTd/QprEfPlLr/LSS5/hH/8P/5g8X6AEFMWCOEkCKO/Cfd0YQ783YGujT54X9HuDTuprPp/hfUncyBDWteHnfu55vvLzvwAiYmN9mzfevsqDnT2uPPsszz37DHjHaDRgbXWVurJEUUwkQ6DDyniNtNeHyRS8aHxVHOvrG0RRhE9FQ3YZivmCZ7e3KWdT3nrjR/zgnZ/wzLOX+OzLn0EPEhKvKWzNtFhQuojJ3j5bG+tMjo6oyhoZRbz+5pt87WtfozaGKElZ7w/YPnuOt69dZ2trpZNUcniSXsrRdMb65ha7u7vEacLK6ipShnM+SAUrwx7Oh0zVeZaFtkXIeGs90yDcF+OkD8B0OmU4HJHIiKPDKU4IBqPgNeasO0UkLPn8EMgLJaMTv0kpGxmtR5CoLcHnfeO3dJK4sNYdTz6XxgTvPa6JFmrH6+UxbplAbclSCMEfURzj7Eli4eQYGe6r8/mclZUVoijqiJnlcWt5HAqPF7qR+mrGKNcsT8OZCouxhkU+x3tHr9cjSSJsnWOdoMgt0nsund/iyuWz/PIvfpV5lrGzu8e9+/d54823uHXrNtPZjL39Qz4tn5b3XdoIjPc7sz7GCU6Wv+wT9Z9W+cBk19Ns46NCiD9qIP0DNk4B718m58OrxnFdPoTtLAF6T7/qx0x8vFsdPtKqtKjlR7ST99jsSTmrJ1vnXX9/3HU7vR/R7LsjN44Jj2Mi5DRZsiSXtVxXcYoQad47ffyyEQ1JErJI/IntPuYYlwmR9uvlptz+vnRMxy9/QjYL2QDlKpAjRB4ReUTsGhktR6wdSroQcHe6bh9jd3jqIZuGvHmKHbTY6ZNt+8lr0hIY/tS3viM/6GIufPdLS45wgo06JkxsIEWQSBFksBUOEwWMVHqPNYLCRDgj8CbC10vEiBTHpuzttRUt8cLJdgNNo/LdW0FX2acflx/3LPVeZdnw/S9zedR5Wx6v30dn+ZkmRpwVOCvwTqGURGjdkNSy62Q0IE1YQSKExnuIojR4SCCQQuO9BR8MhaVM6KUrzKYVdQnOaUyd470gijRxnDTGxAH4s8LhnCEvMjajTayzrIzHZPmC6WxKlGiyPGeRLdjY3GSeLYjimEF/QF4Fs3HjLNZ5vAhm0aqqgnyCioKMUZYHrXXjKYqKvMhRUTBaHo6G9LRkunfIbDKhlyTE/TUq4ymrEif6neG0jmwA7GyF1oqjyYRBpKnqmsoW9Hp9PFBWBu8tdW158GCXOE4Yjle5/s4NRsOCytaIsqQ/6DOfZ6Rpj7Q3pK5Kbt/doSoK5llFksS4oxk7+4eA52B6B6U1lgLj5xhbgAelFfN8TlZlOAej4SqHs0OK2pLEQ7yvMMYTaU1la6rMMF/MSNOIOFYcHh6wtrrJbDHn/LkzxLFGKDAu+CiUVU2kAhHSAiV1XZNlWdCgN5YoipBScnCwTxxHnVzFdL5gZ2dnSTor6I3v7e10REELrrb6+8bYECWeJEFxRjh6vT4Sj3EWZ2uqskDgiCNFtljgvSfSqjHeDiCgtZ6iyDsJqzZLJE17zbHAdDrBe9dlkbTSH1evXuXmzRv8n/6P/wcO9vcwVc2rr36J/+q/+j9z7dp1zp+/gNQxSZwQ6QhbG377r/01qrokjiJWVsdoramril/9lV/m8OCQqigZjMasjEYkiSKOCNlMzqGloraGYjHDCbDGEWnP4eE+VTXFWUdZVvQGfe49uB+8XvpDvvDK5xkOB0yOjhiNVgAQ3nN0cMTW+hZ/8kd/wudefpkzZza5c+8Wb7/5BpUt2di+QJQo0jR48Egh8U14vYcgJSV8uOF5F+DbBrCCY6DN2qURswF7WzkqREsE+CVjYHA+mP9659AqGJp7ZzHWhgwSL4/vdyJI37UPG8456iJkDQgRxhQIJIhDNFJ5YUwLmaENoeGPUxuWvT9CEcfAYwN4eJp7Z6u17xwC2dwgGkJEPHxffSiiWhzHS7SESPf5VPbGaSJjGUAMteTEdy2IaZ05kfHR9tPl+ghCVLqUTVZWW492X7LN7rFIGcBSY0P2XW0scdLHesmduw84mmZki4K8CH3GWYtufGd6vR79fszKao/xypA4ThCqzXQJPg1VVZPnC+azBYtFhnWOSEdsbW2ysbkCSHrpgEuXrwCKqij43IvPMxoPONiboppzL6TCedfcS1TwRhACpUIfCL4yQeJHKBGWU4raWjwWpEKoiKy2/M//5g/40Y/exKOI0wHD4Zi17S1+47d/ne2tNW7dvsWtW7d58+03+c53vsPdu3c5OjoiimK01ly5coVf+7W/yuXLlynLMvhqNPVpvRK01uG8L0X4e2cCedQQfHiPojn/xnI0mXDj1k2sNyAltQlR9/fv3+PBzgPSNOGd69e4eeMdfvWv/hovv/w5/v2//+MgsUggtk3jV1VVFWURJKe+9vNf4+rVq+R5zspoHDLX0rjL4ivLkrIseeaZZ0l7faRMMMaysbHJCy+8wDPPXEErSaQVvV7ctBuQSqPwpL0ecRJkOOu6JkpcB5BHkUJLQYUN9+DhiFjA7WvXOTzY43BxxKu/9FU++/KLZPM5PW85s73N7uEB+9NDZot5yPDY2yVfLFjfPsv+gx3OnDnLYDDk7t17TaZoyGqs65rxaIX5YoFWisFgiOA4q/Dg8ICVlRWUcDCMEXiqvEAMemgliJQkTRPqukYlAh0pnBNgGz9MKUiSmNFoiNYKY8K1Xl1bIysKdnZ26PVTemnvRL9sTcdbv6w0TdE6BAU4dyzJZ1upP+e7cRWCfKBbIjEeNQ518lnWAk22hghyhW1mXegzuhkf2wgv12V4CHGcdaJVyOD09lia7+R4Ffw9xuNx95zQ+oudJnaOxzu6sdW35G3QgcB7G4zgnQ9ZrLYKY10t0MbgrSeJE2QkqGqDNRnehay+Qaq5cvkszz93iYvntzk4OMQ6x49++GP+3R/+MZ+WT8v7Li3Q+77JkVMzzTZ88mk291GAq39RgYKP4ly1AMKTbvqjBsM/aoD7g7aNDwqQv58+8riKvFs1nvQ4hWgjFt5nNX7K5MjTtt8PvK+PcvsP78A/6vcnAvre/ZwsB7Y9VIfm6y7LQwQyIzwohvlgS34cA8YNbL1EmLSERbuv1lPEy4b4UA0JogVWg4sEbokc8a3owrK81vJUXdCpHZz4vvvv5LLL4LZvSBHkSXKklc6iIUbQDqkdUjm0tB0p0s6F3283fviu++T34Q/aDB/OM3l4i+LxPz28vYdO+ONXEo94v3weH9pvGwj4iP9bNQgPSA+I4MXZ6GUglQt4ivAID5VRFFYjLJRGUFcSFzVBs8oft7M2g0SIhwmwbrxZyp33DdrcPk89NcHhj/vJE6/TTXV++mPwJ7V0Y8/Tr/ozTYyARIoIi8VaTxQlnf+HPDGANhNvwuQ1jnqY2mHqMLFHgNYp1obYvkgnDPorWLNHkdcYEZHlBUodR/634HjZmMzmuSaKIqbTI/r9PvPFnDiOQHj2D/Yo8opev491DmMt45UeSEFVlkghSHt9JpMjkiSYOtNEqJvacu/OLXQSDD57aUySQFHmDKK4Ac8NTmpG4zHZfN54BViKqg4yK0rRT3okaUIcFzhjGikGgdQRs8UCrWEwTLDOcevWXZSUZIsFeV43YKAlywqM9QitWFvboKoslbEURc7ewQFaKZwzeA86IHvUzpFXFcbWxElEb9BnOp0yGEVYY8irDCGgWBRYb7G5wyNBahZlTa+0JIlByYSyqElijbcV3ubUJscXOXlxiEDyYOc2Sg0YjdaIFDzY2yEra6K0B0imh+35rRtwK6Kug3l4a7Te6/UQQpDlC5xzwdRVR+zv71OWJWkaI4QgjmPquiJNEtbWVhvwMGSajJosDK3jLlr97t3b3L+/Q6+XdmbbRZ7x5htvdNIcAbgBhOxImXb9Vte8qiqm02kAwRqd/QAc1lRVyBipTUldVZw7d45nnrnC5cuXuHH9nQ5UvnDhIq+//iZ/9Md/zDPPPoeSsrt2ly5e4sbN68RxhLOGg8kReEccxVy+eAHnQl8zdY0zhsrWLGZVI92VsMgy6qpmMByyf3DAYpHhvSfPIwbDIf1+StKLGY1GjMcrWOc5c+Yc/+gf/kP+7/+P/2fIvhASpSImR4fcuXOLNIm5d/cuh/sPsC6nrnJQnpX1MY6QDVTWFUouxSEIEcyqUSgf+qvWEtPUXTVa8FVVBkAN30R+A/ggr4RH6ShESTsftEPDBWruR8fAmhOeEBcdwLJI686zoyVFWg+aNE3Q+lhST6lWIkZiPXgkaomYCYRG8NFw7lhO5iSQuPTdI/CK9pwgH76PtiRDt0y73tL2/anPrZzSo4iR5bq1EdYt6eEAa+rjEbyVz1GtybHtyJI2I6TdV6v938omLmem+DaDQQhUk/kSMn1ihOoRK83u3gFvvX2DB3sHSJUwW+QIEbw9lABvbaibc3hqHDU6UmgdBfIwiimritlsRllUlEWJIBBlSgbZvS///Jif+/wldnd3iGPN+toGtbVUsWZtfYXBIOZgD+IkDlkjMkIrGca8cBXxtqa2Di0FUschmyXSlGVFkvaDeXsco1REVRvmRcUPf/QGb127ixUxeV4zzedMFxWl/R6zxYLhqM9sNufWrVvcunWLmzdvYerQ31sPjflsTp7lrKyscPXqVXZ2dqjrkNm2WCy669oSVF0EPWBd8E6iaX4WjxZBWrCqK27duhX0XxXBYyiJ2NnZ4yc/eZ3N9TVu3LjFm2+8zmyx4Ktf/Sr/0//0e8RpL3h4VKaL5A+NSmLqml/55V/mzPZ2105u3rzJ93/wPYQApWTTx1JW19aI4wTvVTfWfvazn0NricAzHPRxjYxlyBrNSaJjecRer9/000BcVVVFli1YW11lOOzRH4z47ne/y7/+F/+CC1tn+c3f+g3WzSaj9RHJKOXwaI/VtUvcu3OX6WJO1EtQSlNWBfOyoNfvc+/+feraorVmZ2eXeXcfd9y4cYP19XXKsmI2nRHHMStlzdHRhPX1dQ4PDymLkiLOGQwSvPesr60ySINM1ng8prYCrYOvkRSS2lRI6RuSIZDwcaRJ0kCSmapECx2eYaQEGaS/TG0Yj8ekaUrVyIBqrUmSBAiEglQi+K6cGKvCGHg6y0uINtvt9Hh2PN5044eSKBmBCO1Nax2CYDpiVHUknvcOJXR3X22lCtsMzCC/Gu57baZnOx61xMiyJF9bHuW9FD6DIGQhi9Z/yNumLWrwQXpSKcVwNGqOGUxVE+uoM5lMEw0InAtSoG3wio4izp/dZGtzDWssmxsr8F/zafm0fLDSTvQ/TDLh9ET04+YpxId8PJ+I8gHAjw8LN/kUgPnwylODZ+9nB++10sPP/O+r/NSaxSmi4CPd1UdNCDYBFu+1/yciRd7990eSIkvb9e09oYukD6SIV6IzrvYNYdJ5gpyqV7cPcfy7bwM+ZSOZpWiktMC2mSJR4zuiCeRI5wVxitxo5hn+tG7RI7K5HvIVaf8ukyESXDM/YUlCS0aBGFEqeNoJ2mAXmizhJsSw5TqfsJksX+2nybb4oOXRe1o2XP8g212mXD6cY1reSjOFWCJH2nPXYAXe40XjYyoaiWcFSjhk5DGpwqJQDqZGUFcaX7ckXGjLJ9rzcpteIvlEhyW3v4uOHHlfR94yHE8VUMLJOnxaHioniVqeagz/mSZGhIAsm5MkCVIqykYuKEyylxaUNCCjw5gSFUUI4YgSyWQ6od8fgLQsspx+b4CUNYOeRAmDrTPKo12Gwz5FsSDP884YO/QHi7U1h4f7XLhwgXfeud5EgFsgyEjt7N4nyxeUdcHIrzCdT6mtYX1ts4vA3ds/QGtFfzCkrAxpr0deVGEyHSVk2RydKObzGc4rtrc3mUzmpGnM/Xt32VwZc27rLIvZjPlsgVOerG5kWRBNlkFCkqRIFaIfdRzMyDPn6Q/HqMiTZUHffTwahwyQOkRdejw66rG+eRZjDWl/SH8o6fd69NIYJQV1WZIXBWWZk2UZeZ5hvGG8toKxntl0Qt9UxHHEZD6hcjOcD5kQ09kUARjjSJM+pbFsbZ0n7sUI0fhASI0UFqnhYP8A5wqklxwc7LG5tkFZe6QxIBRrayN+8KOfgEzoW8FgOCZNe8zn8y7avizLTsJrZWWFfr9Pr9frfD3a5dJeHyFF5zliTI0A4jhuJGMCABLHMQioq5KqrANIqxQgOXNmgwcPdvnhD3+ItcGUviVmhAjyG+3+zJJcECyDyxYhPNNpxmw2JUlS8jzn6OiIOI6pqprDw0O2z2zyzo0bfOUrX+HVV7/A/fsPWN9Y54XnnueHP/wB16+/w/PPvxCyS5TCO48SAmscRZYzGgwxdUmRZVRlTqQVRVazmE0xxgZDeeeIY4kzOXVV4VwgyZz39PoDEmMZjVbY2NxGKkkcxxxNZjy4/wAZxVjjUVohheLa1eucO3uBK5evcPfOPTY3tqjqGoHjcG+X/dGIqsg5c3YTpR3TyQHPP/cs4/GQssgxdcnqatDTb28Y3gf/ECECsKalxJR1yMTQcZPxAXHaw5ng7dFliTRPXd5ZnPV4JxoppiYKWBybd7cgHISIA9WEsLTkmxAC2ywjpaTf7yMl3RhinQ3reo+UwZS7lSny4UC6SX4AAsUj2oVrjNxlMyYd3zKXJW3aMfNY+qhx/Fi6XzxKEuu010i779NA5rI5+7IMVlvH4BmgHsoECRk5xz4W7T7bV0uCLJu2t8u0+1z+Psighcy7Qb/P7btH/Ic//xZ37z/AOEkU95AqRuqIJInBe+I4or+SsjoaMRoNEdJTmYr5fMZ0Omc2nTLfO2A2nZEXOQCL+QJ8iHqPdcT+0ZT+oM8Xv/g5DicTvAjSW0EuyyI0WGcoqoJefxQkerzHeIFtPE+QEh31OgktZy04Q1l7NrYvURQ1127c4Wg642gyxTrB7fv7PLi/z7lzL7F3cIhUJfuHB5SVZTJ7wP7+gheee4Zev0caj1kdnSF6ZkQaa37pl3+RyWTCn/35n1FXlj/4N3/AT370OkVRcLB7SC8dUJUGZwPJGDwOCPKT4Sp27aq7ZjJE55d1hVYROooCMI1ASY13jqr2mNrzve/+kP/d//Yf8MorltFwRJ6VDPpjvvTzX+XHP34dIXXTBQTCeaqiIoli9nZ3iXXE+XPnOTqcsLo6ZrFY4KylN0gDgda0LWsdOtJUFRhnee6553jrrbfY2zvkwoXz4ZxLjbE1WTYnTRJsY+btvQcpsV4QxxpjK9I4ZjTsM14Z8eabb/Jv/+B/ZTKZcvbCOf7O3/07rK6tcP36NbwzHB7uc+mZSxzMprz+5hu8+NJLHBwekQ5SjvYPGYyHpIMhR3uH3Ll7l2eeeYafvP46AL1en4H17O4d8PLLL5MmCTqOuL/zgM+89CJbZ7b51jdf47f+2l/jM595gTt3biNFghRQlyWqN0BJWCwy5rMcWxuSJMZaC43Ak1J85p3OAAEAAElEQVQK30zvnLfMZlMWgwQlPFpJ6joHGUzZkyLm6PCI3d1der1eI+uoMKZCSt2ZxVdV1fXJ1u8I2URXCbGUaXRyLBHteCfEiedZJVWQLmyIjWMfr2YMaEhjzMkxp/a2m2xEcYSSqiOnW/8QIQVaqOMxphlTqqrsCBTZEB1RpJvxxi+NmUtTSmeajGOF0DoELHiDEKCFQogQLGJskE5VSqFTjXAPyx1KCYkKmZjntjfJ8hzvPL1eH1vVWDfi0/Jp+dDKk0wa34tsEN1/pwJIn3LS/2GUDwJk/rRIlY8CfBUPvXnM74/67S8g7PKkx/RRtYHH9ZH3XO/pgbOnRGmffPmfdhGP+PBxVv3j6BePIy5Ov3/Usu+1rXfZx3EmSCN5teQFEjI8REeWuDYDZBlIbpv28t8lYqTdvlMEckQvy2e1nznp83Ga0GBpX94vfflwdH8Ljnb1WCZaljNGlAukiPRNxojvMkWUbEiRLnugkaNdPmDR8kD+oe70uKvTgvwf183xmFQ4WT7o3kV7nv2jjulJ+8pJ2qNds1UubMmQ0w6H0IpsNRiOD9epEexG4FHSIzRUXmOFwFuBqRV5FWFqAaVs2nfT5lh6NVas3XDaVu/4QJdOgn9/hEXbSJ92pbbpPxwL+5e+nOBL38d4/TNNjAQteBVArDqAVZFOCII0x9Hjy1keOpY4XyO0xHrHZHrAcNRDSMfKyhCAg70dnnn2MjduvoNzNXEaEUWaulbEccx0OiVN0w606/f75HnOdBqMuafTI0ajUZCscnTm8Epp4jjm8uXLbGxs4h3cu3efPM+5d+8eFy5coN8P0amLeYZAMBgMiSIJoscsm5DlJWUdMZsumC+yLlI/y3J2dnYDOATkecEsK5BRyDbIi5LZ9AGzqSGNe5RFjVYxUZqisx5lZVhkWQPSFxweTJAyQiJxCOIkQRSmASYkTjumR0ckcUysg6m5VCELo8gzalMzGI+xrmb/4IDKBmkWi6M0FfNshvVzymoeshzqAKbEccxkdoRUCSurG2TZAlPnpIlB6x5aWYSf4kWOFyWlqanMlKwUDNJ1FnmOsTm/8iu/yJtvXufgKMfWjmyRd8a8razGYrHg7Nmz/L2/9/c6MKcsAyCS53kHsC7ynKBfPyfPc6QSQS6pAUmqqsJ7T5JGQYPe+S6awROAWqUk/X7Kz//8l7l79x55nrO3t0eSJAwGAyaTSRfVGiVJF5natt8WnK6qijiOCWavgsViwd7eHlpr8jzj4OCA555/hvl8zvnz50nTHqYOEly7u7usrq7x3/13/zV//+//A37lV3+V2TxjMBiCD5IhUaSpjgryfM4iWxBFClsHwCaKItI0oSzLhmzooZIRayspOtI4D1EaUxY1k8mE3b09HuzssH9wyNtXr3JwdIi3vvF3STsQraoN3ssuEvn+/fshu8BbtFLcv3+bNE5Y31il14/4ha99lZdfehFnLP20h+ylLGYz0jQFETwenPeNYpbAO9+AgeBcMLyGFlgX6A6op4uIxwW/DyllICQaINi1tz3hqSsTJNRskLRT2uMbH5Kwjuwi64Wgy3RoI5DDvkQT9RwimfGC1jvkRCYHxzfB7oFLHOvrh8VOAmztgs63URQtKLlEarTRzifWO0k0LJMh7d9HLXda2/+4bmKJ8Ah0TLtsmyXicd3yp9t8W5YJldPEzLKXQEuWaK25f+8+/+//zz/j7oMD4qRH2h+jogovFOPVdYYrq3z2cy/y819+hYvnxjSqZsxmltffuMZPXn+T/Rt32d/fYz5fMJ/OyPMgbRQ8QGQXMZ9nOfsH93n9jW/TH/b44pd/nuc+8yJCga9MIOMjzWAwxDlBVpSoKGUwWsMiqCrDIiuwdYVWQVIvjmIGgzWk1ly7fpfXXvsO93f2sD54jAip0VHC2voF8BKpxqysGnQ0CHJc0jIcpeztHWBMTZr0+S/+i3/AK59/hf/rf/N/4zvf+Q5JnLAyXmEymTCbzfne977HcDhksVhQt+SpP+mt0HpN0N1jFYLG+4ZAItfeY51DAUIpTFV2UmBKBW+om9dv8B//4zf5+te/zjOXn8FYx2y2YHI0ZTqdgZD0ej3KskAi6fcHzLN5N05fvHCBfm8AeLQUFGVGr59gTY1WGmOh3+9T5AVJb8Ta2ib/6vf+NfPFjC9+8VXiJEIqULLJ2nEepTXe2Q6Ej+Mk+DNVZecl9Yd/+IfsHxxw9epVhBC89NJneeEzz2Kk5f7uPQ4Od9hUG2xurjKZTsiLgudefD4Q8dMZ1hhWBmOkjphOp3zr29/mzJkzDQAfNfebBVmW0+/3ef3111lfX+fMmTPs7Oywt7fH+fPneWM0ZGdnh/WNjeCz4vqcPXsGYxfUVYlOI+bzOXfu3OcnP/4xpqoxwiNUQ0SiiJRuJLB0k3FYIbUORDMSqSWHh4ckacx4ZRzIweb+GIjeYz+stk+2JG5LigrZTLZPjSVqySeJ5r65PBYppRgMBkitmc1nFHl4jkC20lium1csy2o578jznKIoiOOYftrDYE5khlRVxWKxCNdcqe6lte7GkHacKctyKZDhZFZcR6g7T101RLloJBGVxAmBNRUIUFrSSr0a4zBVTRRF4BszSe8a4qR5bpCykXwFHWlMXWFMjfTHJPSn5dPysZTTYMB7LduWp0EKPhGJHk9zoB/mPj+ixd8PkPuXHWl5P1G8T72Pp1j2IwsPflpA7uMun7D6PWVdnrr5iFN/33Xfjz833X6fpO+fJhvkMfkRMjpkR4y4liBpJbVafw4hjrMwlrZ1Oluj8xfp/DzCy6mQKXLs93Fsgt6RGMvEyPJB+lP9dOl4PP5kFkBLjCyZraP8CUJEyCb4SwU5pkCKhA12gLkXx69udw0oL1ra5CH65ET1ljH2j6t82KTI8naPQfrlDJQnG7jCeTiWKGu/XSZHlmvsl37nFBnlAeGDByuAFAaPZ6TDZ5tKsipiWiVQSygjfAmuCmpxLL+gadu+wWYCLiTwJ/i4sFhDjiwdwxM9SbwvckMcE4Piw7uOf6HKKezsdHLZu5WfaWKkrku08lhbd94L3lukkEF7sAPOXCejoJMYEMGsuihJ4hgVJygpqcuanZ0dVoYr3Lv3gKIomE6n5FWFF4407WNN1QA1ZfBWsDUgEcKxt7fHcDgA4Tg6OqA2NV54huMBK2sr3H/wAOs9UirSfp88Kyjqkr3dfc6dO4cXgt39fYqioCpr0rSHiCVFWQeAZX6IMTVKpY1kmODo6ChEtlZFAI+UQgFJHLOWDtCxINKe6XRONq9x9IjjOAi3eBAoqtqglCCKQzSpsY40HZIkPaxxVFVNXXl0JFA6IU4jyjInjhOSNA4SYzoMCtYbUIKqqMgOF6ysjBmNhqh4Bakkewd7xHGE0opsnjOZHmCsJY5j8qLAuT5ZtuDS5W2qqsAa6KcrATjF4b1lNjugLCZ4KgQGQclsdkBV1tR1DyF6bG6e5TOf+Qx//CffRGmJtZ54ZUwcBwN3rTX9fp/9/X2+9a1vsba2ymKxwBjTkRItsKPi4D3inMPkQWdcNeNSFEXoqAFkrcP6ujPuVlpTFiXOOkBR5MH8dntrg729PQ4lSOG5f+8OadLnzJkzIAX7h4cUZd4MxKIDrZaB8CwrmEwmnelwv9+nn/aYzWbs7u7S7/f59re/halrXnrpM9y8eZNsvuBLX/oyURTx2muv8coXvsCNm7epa0NRlpRlxf7+AYf7hygtEF7grcM22o35vMD74HNQliW33lmwmOVkWc5kOmU+X1Aaw+7eLrt7e0ymM2bzBVEcUZsgQxWp4AMUR0G6q6oMvcGAIi+Jo4QkTmDkOHf2HEkcsToes7m5wbNXrnDmzCYXzp1j0OuBt0jhyRZztJKsDleoqiL4qwiJE+2NS2AbnxEdRVSmxtV1R3oZY0AqaCKWW9mmVru0rKowvlqB85ba2WD6i0PrmChJkDJIcRljqGqDsxWj0RjnHcaG6F+lFN44rCsb8F8FiZpGegUfCBwhQNIAbd0zRXhk8C0YLcWJNrrsM3J8Kw4vISXStdJfx4CedwG8ax8tHpbmogPDT+/n2DT95J1mOYq7XX85cwTAGktZlx1ZopQK2TM69KGWHDxe5yRx85DvyNIxna6f1ppvf+c75HlOL02ZZQv2jqbB1HrrDE7UqBhUBLWrub83YTo5YH/nAXfv3ufm7V32D47YeXCf/b195os5VVFiraHf7zUR8jlHhxnGVCgVMRqk9AdrfPlLr/K5z79MaQzWGJI0CgRqL6aqa7zXrKysk5eWN966yo/fuM7B0Rxvg5eCswYlBHGbWWQ9k+mMPCtJByOEiqlMkPmJVMHh4V2ckKTJgC9/+ef5tV/7Jf6///1/x/0Ht0EYsvmcONIMekP+xf/v99m5P+Hi+XP83u/9SwC+8KUvUhQFL7zwGX7h67/A7/zO7wQwvJeG69ZEzwfgPGQ5HZ9n2RmCYy3WuSB9phQeT2WCHKOKUnwdMhXzeUavl4KCf/Wv/g0/+uGP+fVf/6tcvnKFf/Ev/gU/+P4PuHD5CsZZqsqETDXpyfMcZ4Op+k9+/Dq/+PVfJBKK1jqnJaqMqTGNhBIINja3cF7x+7//+7z55lv8rb/1Nzhz9gzOVYHoNyFzL4qjADxLxWQ2Z3V1pfOaKMuSXq/HUTXhm9/8BsPhkPFowHAwYjqdsLW9xWvf/I9cvnwBYyrSXsK1a1fZ2t7GeM/qSp9eb0heVOA9G2vr7Ow84Mc//CGDfp/hcMhsNuP27dv0+320jonjmOFwyN7eXshIbO459+8/YDQcMhwMeXD/PmfPnWU0GuF9GIc2Vlbo9zXeVaQNYT+dzQBNGsfk9QKpwiQuilQj5+bDPT1J8M31djZImCVpSlUVKKXZ2NhEynA+gg+aQqmoG2+889S16Xx+wjgQng/cEiEbOrZvPLHC+Ou8R7ZTBO8pqpqyqtBx1JGfxpglbyQXslFEmP06Z5tnrCCLqbVGNllqrTQm0EmASSlDRJr3FEWBtZbBYIDWqpPdDLKjdGNMOwYtj42RlCitqJ2lrCqc98SxDtJf3cRN4CxYa44DDZI+tQkEu6CRIJUa7x3WQ5kVzb2KLngjiiKULPm0fFreV3nfEc9LQJzv/vsI9vdTyDBZLqL775NX2rp9qNX7gNv7aWdhfGTlYwTl3zMb6yOqyEec/fDBr/gnjBh5v+VpzvPj0PJHbWMZ/Hs/+z0FAAfyoZXJaqSztGyyOhqZK3nSL+TYvJqHyJFlz4aW4OgkuJbIEdeZYB+TFshHrL8klXUCmG5fp4mlFgdot9dsH9W+Dy9x4j0I6ZFyiRRpweclMmQZ/D45A18iR8S7XM53vzIfW1maafNBavXQbdP7ZcriPfe/tOKJ9U5vtx0qH7/lNnvENcOHJ5YwoEIKT2UVs17K1KRklcQkjdeIClkjXdts+gKiwRZaXxHhg/+I9ycsRU6QNacIkvDT42r8iGWfsIhPTCv65JWOoG3LXxZiRGvFbDaj3+8z6A+IlEYqiTUW0cCLrk058h5jLMYV9Ps9ykVBVRasjlZQzuOtYTGdsjIaUeYV49GYujZY63GlYTAekhV5AAx00J82dRWAai1ZHYzJiwXzxRG9fp+kFyEqz+H0gEU1RSpFVs45mBwQ6YTaGibTGXhBkvSJ4piqqqiNQesILxSlNZT5jCSNuX7zJrM8R+gI7zyDYZ95vk+WZXgriWUYrGUUkQxSvEyRUYzzNc5UqF5Cf6ApS8XBtCDSCW3QoZeGZDDAuxqlNH2tCQGTjihWSC069tULh1KWtKcYjIaYugrnWzjiJALh6A8kg5GiNhV4h4xsMMfWMefObTObzshKy2SekVeWoigRi+CPcevoHpcuXWI+n5Jn+6yubrG5vkmvN0ARYZ1nY32da1fvslhM6fdTrNUImTCfVSyyCiVG7PtdXn3l53j77evs7h0hhGB/bw8dxY3sWtVEs0uuXbvOxuYGZ8+egSaaM9KaPMuRWgagwx6bs3vvqa2lNjWxMeRljrce50wAUrxr/BBsiD7wMlybBlBRSjEcDLl05TKbGxvBc2UwwFoXoqSdwxrXRdvWVZDQ8njqqmaxWKB0xKA/QECTFVLjxDFBd/nyJcoyEHqz2Yy79+4xXl3h/s4D/vO/95/zm7/5W5w9d4Yf/ugnICRJOmA6W/BP/9m/JE00i8WUug4G04tsjrWGoijJ5gvm2QJrLIt5jq3DcG5s8JZBgJSalZUVLl95hl6vx2g8YnV1ldFoFKKMewlK0vjlJKgoZjQcMRwOkEoyHA7opymDfo/g5dOAsN4xn84wdRnkTbxFahUAKWMCKNc8hbRRua0vgW6kTaQQjX9KyPZJ0xTbgPHtATiCbBOC4DHSRMZ7L/AOvA+yZlqH7VtbNdlDYT86iamqEiE8ztIYaHu00mitqcqSOEmaKPUwLrEEunkaTxl/TEAIKUO2RyM108oLheML5IoUHMeoePC47pjaG7XAI5rjEUFNJ9ywfRefcTxH685J+E2KZoxpdP3DSsfhCp30VfN72xeWCROlFKkKWvzt44/H4ZxvsnNUE63drkMYy6XoznFbtfAAJEAIlAwgvHceqWRnOP/6m2+E6+NB4og1VHXO0dEuRbUgz6fs7t7hjde/RxIpJJ6qyNnZ3aMsLUeTKTv3HzCdzaiqikhprK2YHE4Y9BK2z2zyta+8zHPPPctzzz/Pme0NNldGJEnCg70j7u8eoKXCVMG7BO+JdUS/32Nvb5//+V//Ad/+wessKo9ORqyvbrI5HnPuzCYvvfg829ubxFFMfzBg0B9y+/Yu3/nu97l1+z53du4zyxeUiyPybEoUp6S9Adtn1vnqL/wNfu6VF3jz7R8Qx4ooDdlyWbngG699g9t3b3H58nn64z6Hh1OuXb9FXVsOvv86WW64e3+XKO0Fcs/UJEmMMbaR+Ql9L4DCDlg24z7OHkDKRkqp8fLyBtlkJUitKaoKCcS9AXfuPeCf/NN/zur6GkeTCeO1DfYPJwghAqlkatIkIQQhKJx1vPPm27z6mc+RekEvSYlqUDUoZDC1Nw6tE7J5zr/7g3/Hzs4+tbX8rb/xnxBHEbauiGKF6GS3PJbg8+G9pddL2dvf4/ad2yBC357NZjhrGY3HJGnw1dCJ5m/+zb/J9RvX+N53vs3m+piNjQ0g9IXnnn2WN69eIy+KAN57x4XzF7h7+w5aa55//nn+9BvfZLyyxu7eAXleNhl0Ec6F8fzihYtkefD4ONg/4MzWNnhPkiRsbm4w6PUp8+AxUlU1g9E2ghrrDA5JPBiwtrlFdu8o1EtK4kgRaY0UgRRYLDTGKSw9ogjqytGatdXWEffG4DxFHbJN496AyAaSwViLsy6MxXXIeBBSkmqNisJkEtG6MDVthWUSNWRaeOcJomsC7x2FMeSLrPPTilspMH98P4UmS8yDEApbV5SmbnxmNAKJNQ7rTEcuJUlyHM/WZGIOBgOMMRRFFsway4LFPENpSX8wxPvltgyo8IxpraUo80Bkak0cK5AikBwQjOyjOMgmdllxYfyrqoomNwWpNKohbmikF2OlmwzWDK1DZo+1hkhHfFo+Le+7LEU3vr/1m/8+bLBbwKkQ0Y+2/Cxg9eLUhw8TC/mIgfGH9vUzR458TOXjyFDp9vPxFP9xtq1PcnkcMv5uyz/03bvBwO+xHfGIhU4RCMfR1MdI/nJGyDIBwkOkyMnXaULkhJ9H5zPS/KaW1/WBsFhafnlZGtNzmvcdWdEOiaeIEb+0XKhLQ4rI46wQRJMlAh0pgvDIJdPtkCECzoP1QY8G3+aDLJ/S09/87JQPixxZ3t4ShfWhbPNp932csSNQOCJhQcJQF6wkGZmNUJVgkSmKSAd/m5ass6IhyuhIN982iZZoaw6tOzq/vHPBqcbx7jUWvK9748d7Zn92yklSRCxduCcrP9PECN7TjLOYukYLgVAJzhh044MghGgA0tDu5gcTlPVoL1nkFb62VA1IXuQF4zhppHBiNje2kTpqJBlSiixj0B8EcFBJhPdEkWR3f5cokjhRUbmC+cERFy9cwpQFTlbM81kHdvjmbnFn5zZpMgAUiYT9w8OGfJAYazmazZCxQmtJkZdkixlprx8APiWRGpw3WBe8OMrFjDSJmsFbEGL8LViH9Zaqag1MB0ipKfMShWQ46DNfKJKBBtdqwIferoVCiSDnIKTE+mAGqnQAxgIYO6IuQ4Sz8xXGl2gtWRQ5pV2Q5wsGeki/PyCNQ7T06miEcQsckrIG5yO01CzmOUk8oC4du4sHjEdjhj2NqTJ8lOKFoy4yZtMD8oUjXwBWUlcR89mc3d1DNtbPMDu6TZwcMRqt8eorL/GH//4/UFsLXuNsi+JKahtkfIzz3Lp9l/2DQ1ZWV4MslG3higAM1nV9whi6bVvWGIytSeI0yFA1mUvDYY84UfR7KZGOqU1NXZsGeCnYO9jHOsfVa1fJixJB8BnRKrQ9KSKkEBhrsbbAB5H/TrYjkhJTV40MhwsG6lpSliUHBwdsbW2ipeKdd95hZ+cB3/vBd7l4+QLv3HyHz/3c53jxsy/xrde+xXQ6IUl7TKZz8qLmz/78m1RViXOB6LDWUNdVAK8bwqc1rU2HY5IoYjga0u/1WFkZs7a2ypkzZzl37izra2v0+in9QZ80TtBR45HhDMZWBCmiAGy7hgjw3mPqnCLLKOa+8efwnWG9ta4xDFZYb1GRonYBkMNLnPeB2vAC64+lnYwzeEBLGXTgVSPt5F2D/bWGua6Td9JaY53HeEekNToKxKszhrp2CGeRKhAZ4UYpsLbGe0Gi4+C1gEXIqJNmqeuqkxtySp3w34AgtaKjQOJY79AqnDNJOHZowcRwp279SPAyAIpNdEPjQRbOLzTnwTbjj0d415DHgUh23nakX2vIjKfT15SqySBqBtLw7NwYojcMaxu94JpI/VYWSCnVHT+ApTnnTf1D5HZDkTgbKG3RPqSFXig6Qsif9BVp1rM+ZHIZ1/yt6wDMphpvcyIZE6tGfktAnS+wdU5dzFnMBkwPdgJI7AK5Mp9PyLIF+wf7zCYztNJsra2xmE1ZXx3wd/7O3+LKs5e4cPEMg0GfSGusM5R5xuLoPjMvMVYSSaiNR1iIVdRkbTu8NXz/+9/lRz/+MdN5RlZLinlNZQSR9Xz9K1/kl37551FKUJUhG7As99k/uMO9O9e4ef0mDw6nzMoMURcob7GmoCim/NEf/S/88MffRmlJkkasra8gpWRvb49pNkeiQQvOXDjDlRcu851v/4i9vSnnLz3D0dGM/aOceWYoa4OULkiBNedcCQUijDdtJqb3ronYPx4XRSOhJpoHxOAnIUBY8K4jzLwQwQtIR2RlzfzuA5I0wQuHcR6pBMZ7vJQYD6Zp7tIJpg/2OLp5D+U8enMTZiU9ESGtwDsBMiKf53zjz18jiiLGoxFb29tEWtDvxSgJkW5FZR1IyWKxYDGfM50ccePmDd6+dpWjo0Csl1XCbDbDC0ev38eXjvHqKl/9+le5duMaf/of/pRXX/k83nnG4xWSJGF4fsTB/iHrq+v0kj5vvvkm/3/2/uzXlizP78M+a4hpj2e8c85D19A1dJPdbKpbbFFUS6QmUhQNPxCyJUCAH2Q/+K/wkwQYICBTsA1YfpAlQAYp2ZQgQVY3SavdXd3Fqq4hqzIrpzuf+ewpxjX4YUXE3ufcezPvzbyZlanOH3DO2Sd2jCtWrIj4fn+/79c5x73799BxxPb2NkenZzSNBakoq4aianCEiocoikP15SpnOBwwHA4piwJrDJOdbXb3tnHOIIDJcESSatJ4wGyeI0UD0pENMz6494CD41Oskygn2koGQrWtsGAtdQN37p5SFJ5YKyIVMZ+f8/DhQ0bDIUpL6qqgbipAkCUJkY5QMsidaaVIswDcT6ZTpFacLlYURUmV1+044/tqiUGWMRwOSAcZURyHMRx6Yq2pa2pjqWuP9w3z4rSvkIxUqCAxdUNdVqxWSyKtydI0+IdoidISpcKbTfADM60UZIkQQYPYtuPUfD7nxo2bDLKM1XJBVYZrzjSWKNEoFRFFEcPhMFSJtiSFjiKqsuLs7AxTV+zsbPXya16EyqZA9gZfkW6sDFV7YXRzLWkj8Jj2moqkQsUxpqrayrrgIWWMbbnu7s3sq/gqni361+8ObPtUBMlHvGx+0vU+40vsJ44O6fiiYlk9yPcp2+J5AtRfpH152viSkDH+eZNeT4rPmwz78x6XSIinW+ZjZv6Y6pHHbts/Ztrmch2Z0E0T4W8gSNoqko4w6QiLJxEjl0mQR77j0nd+XSWyWS2yQXCsyRa/Jpta6ZOLngIbpEi7nTVBsvm3rRTpLjvZEiSbpIjvSBGB87L9EVh/0ce4l8zqZbQuN/oXM9aEyMXPn2d88u1d7tDrEIQ+IH0LYiCJREjgHuqaaVxSe40vFXUaUyQxrmyN2PuKkSChJdr+1KtqCNrE2Q06qc0RxbPO67i8W5f/f4SsfMax8isZLYBHcmgeT4rwuG7yxPhSEyN10+CcoyxLhoMhUimWyyVVUbKtgra29R7RaUcrTZIEPw3rPSqKaExNlTcIpZjPl1ggiQeISDHZ2eLk+LzVgk8oyjOKqmZnZwepVaiw0JJsPODs/BhPQ5RGnM5OODw7wHrHopixKlfUjaGqDFk2oixrkmQISqB1hBOevClJo5QkSXC1R0WSxtVoEVHXBRYD0rKYL0mzCWkmSBNJkiqGw4TV7ASrBSqKsTbI7kDoC5GOiCKBVilRPOHg4JymbtBas7u/x6o6JktTpPNESqOEDJCpUGt5ISnwIgBgQobqCNtmuaejBOEdxpXMFwVVVWCbElOtMHWBcAlpJEm0QKEZDycU+TlmZdEuxpQV89WcSEb4xpCfz/HOcnP/Cto7quUM7QRCxJR5QdNYnNMUuWcxm7Ocr7h//4DJeJsTOyfPa0bjLY6P59y8+QJ/+S//Jf4//+M/BakDoSMEeEdVlq0Jq0CpoOVdHR71QLXWKlRq+ADY+m70a++InRSQNY7hzogXX3wR1/qTGGtYLnLOz5aURUlZlVgbDL+tMUEypK0AUDpGK4UQASx0HoQKsLATHoRDRqG6AO+xzpKXK+I0QWrwBPLKOlA6ZrnKeXhwgLgqmM0W1HXDX//rf4PvfvfXePjggBdfepF3fv5z/viP/og0jpgvzjk5OWC1WpEkKXmxwlobTHyNIc1SssGA0XDI9vY2Ozs7bG9P2d6asL+3zfb2FlmWkWUpcRyjW68H61ovDVdTrHKMteBcXw4rRQDuO/Kia0/vA3HAhhST7PugXBMdPhB41llMHc5PHMfYlmzopFKapglWw61UkxCizxxumnAdeNZyUV1lg9aaxlpcUweiotN+73xHRPDU2ZSOMmZd9QHhIU5KiVYa2WUQNwalZE9EONd5ZnQGww6pNaqrwJBhuV5eqkssEwLN2oskVGG01RaSQHy0y4Ts6vV+CmTb/9r1+a6fr+VhNkmIC9uHtjrDra8LCFUtdGbqIbM6XC6uBc/X23cEAqXbrtby4vq7ihQECEf3dLIpZbOeb2383nkIdft7/fo1bt8+YDhMQSkoDdJ5XG2oqpJVvmQ+OyOKFEkUB8s245gv5zS2YjoZ8Vu/+Rv8xV/7LvlyxX//3/43/Pv//r/Hd37929SmorYFxXJG7UHhw49UWMLDs26rbLwH7T3SWqQzFKuKB/fuIKRjMEwxpcPVElfV3Ltzhz/4/X/Myckhw3FG2eSs8iWz83MO7j/kwZ17HB8eY9uHdusFTiriJKWpG+qq5n6RE0WaN197g9dee5WmaTg7O+P+/YcoEZFmCUoIHjy8y3CYkaVjbtx4id+8cp0/+IPfpyyLMP7haUwV5OO8bLP6HVJ1z3Gib/9NybXN/tSRaKEfXOxL3nuaDTJFAtZ5XBOuU+88xgZ2zhhLWVVIE7wp8lUePD9qw0H9gLOTM4QPXi1eCUxj8M4RxZqXX36Jvd19vPcMhwOmkzEIT1WVFEXO8fEhd+7c4c6d25yeniCAuqkx1iKkJM9znA/G2YNhIAGywYC93V0ODg74/vf/Gbs7O1y5sk9RBD8rraOWyNV4azk/P2exWLC3t0dV1YDAOsfh0REvvfQy3gvm8zn7+/tEUfCtEULwyquv8vbPf87p6Qnf+MY3uHrlCsYYPvjwfb72ta+RF0uctYzGY3DBT+zD2+9yPjsizWJefvVV/vh7f0pdNyg9CqSUlD1BJV14ul4scn7y058znUzJVwtsEypOtFKkaQLes8pXCNHKQVmLtQ5nDdtb2wwGGdvb23g8yyIPY6VSOOdxxlOVNY1psM61BIYliiOGoxFZNoC2j4RxMfSTsixZLJbUTYUSQVZSKRV8RpxjPpsxyDKu7u/jhWB+fERT1cRJxNb2hBs3rnHv/j2WS8fNW9dRUhInI4QIpElT18RxxNXrV9na2sLUBq0lWu0FiUMHja0pqyaM2zpGR1G4fwgZZEh1xP7+PtbUbZWoCpWMSlEbC0L242BHVHeeV50Hk/KSKIqoqor5fM5kOGLv2jVODg4QIpBkQgQJ2DRNWa1yvoqv4pPGxff2zwjA+cLjQu0OPi/s9nHH+qnX/WmJiE+7/c11fUlB7i9BpUr7BM3mny9tfBwg+OcxnhMp4p/0vfiIvtONw5fIg0eW2yA+Ls7T/fVr8m6DtOgIk37aBiniNsgOrza+FxsEyCYp0k1vSY1NCa6wPb+xnQ2CpENHN/9/zGfRESLt9Av/P6np22oR4wTGSoyTGC+xXhL8JlquRfi+GTfO1p/LuHjkH9/51/N/fM3N5to+toUFrSF7SBVXXhJLw0hVmFhRJTHzdACpwxVrL52uT27KaSE68kPQVS9dIMA2KkY2TdGf6G0heATUf6bomJinaoj/+UbXvqLHxdovOoyhnfYsTfSlJkZWZYHwjkEUUdkGX8LJ8THXrt9itli0/gFB7kDpKOjCRZoojmlKT507xltTTo5PEHh29vdACNLBkJOTU+I0ZTAascwLzmYLausYDoesioooiaiMwTQVha0pXcXR0QO2drYghoPTh8RJzMnilKIqsNZTljUiiiiKGl01LIuK3d0rLIuCWCdUTc1UTVnmC2bLs1aCojNmzmkMIGpqs6QoLcas8FQsVucgHEoHQiOLYoh0yH63NmQjKkkUpaRpRpok5EWDlJLt7V1OTsckkUI7Tyw1qpWIwBMqLFrZC48Kz5dWoESMlAG8FO0IYOqKuio5n52wmJ9hvaGuSmKpUA4EM/b2rrKandGsChKv8Y3hzocP2ZpMkMJzZf8KdZ2TpjEpCm0c41FKUxbMZid4JFIrIjVgfn6f2WzRmvXmSDFgtbQ0jaMxksHA8/Y77yJVxP7+Fe4+OEW1QLZzjkgr8C4YqioVwFsve8mgAMpZOkx504dhDeKHjPfFfM7P3nqLqgra3yFDei31ESIA3EppFB6tg/64tR68RmuBtQbnDTiLafdNSUUaJ0itwMNIB7PtbDDAGkNRlljvcMYRxynGeo6Oz0iTQGiEqhLBYrFkMBjw9s/f5v6du1jTEGnFB+++zfz8CO88dblgf2+fra0J129c5+rVq+zt77Gzs8329jaj0ShoMXqPUp5Ig5Ii+CZYC7akMQ7vQgVCFEdILTDeARalBUgVzqOQF4CiXkrKi1ClxEWzXu/pteI3CYxNv43u3HQ/nYGvas+XMyZI1rWESEecyBbU7817W6A3itrrQawB4E1Qt9ufTdPhzrxXStkbrm8Cxd0gbdt1yQskSTjnnYRY17+64+rJGzbAZef7F78wyW9UW6yjk8ML74ltlkNHrLRx2bvjspdJf6ziosl6aO/uMUH0uv3Gmn6/lVZtVUcA1zsfkLDeQDpFURSqkjb2ZUPz61J/8DjW7aq17vcXgl/Et779Lc5mBe+88wEqShhPx9S1xbKiaiqUktR1RdNAo2rSKMYZz9e/8U2++e1v8p1vfZNXX7jF/Tsf8p/8vb/H//J/8bf49je+xvnxMTISJHGEUgm+qZAumKvX7YOR9743vvdYnDMoFWObimyQEkvIZ6fodEzqPVokNMsFXgre+ulPODp8gIgl0SDCuIbZ2RHVYoVvaoxdIvBooZDxmNo4xsMRxljmswWusaxWObfL91DWceP6La5u7zNNJzgnEAp+9tZPuPvgQ/KV4eUX38CZa7z6yov84f8EVbVEaY/wDc6E6jEpOsJv3Ufak7E+V6xJqv5cQUtsykcqpDaJlI5E6UDjQDzqUCYiPF5IjDJor/BCcDafsawKUqmxpqGyDShB44LPlfeewWjIyy+/xGg0ZP/KHoLgUfHue7/gzp3bfPDBe8FHrMip6wodBT+KOA7yZcvlEmMMo9EIYwxZmiFbQjTLMh4+fMjdu3fRSnFyfMTJ0TFbW1stwZFirWU8HnNycsLBwUG/np3tHXZ2drl9+zaT6YTRaMJP3nqLu3fvsLu7w2i0Bc4FckQKTs/PuHHjOscnx+zt7hHFMYlLUZHi2tZ1zk/mrTxWkMGcL3L+5E9+QJQofvTjt/jhj99qvTbCvc0ai4oFSulQidaes+UqZzKZsr27x2Q4xNqmNTAP1S3GGGaLBdKvpcXqumI4CH4eu1euUVYlIs64d+8e4/GY7e1tyqpBpQ1KBhP1+WIR7g8q5fh0SVGesspzvIOtra3gJdKYQBbbJmTiCVgVDcMso24cTVUiBOzs7bJ35QpVlTPdmrA1nZIkmkGWkKYJk+mo9Z2pW1I8EFZCQBInSCk5Oz9jtcrROkJFCULItSSYitnZmSJU8NwypjVxty35roJHldSESjwRpMPKuiFNB1R1MID3bcXpJtndjXldRWocx0ynU3Ce44ODfhzsrjWtdV+F91V8Fc8lNgjuj4xnBpfFpwNFP2sw+2mP+6mjezO/tP7PExh+nuTFl5UIeVx8gY/l88W0Pof++BUx8vh4lj74NPNenucykfG47564vLj4sa+0WE9aJ/u1Pxskib/wIy4RHzxipL6uGvGPJ0zEetn1Nh5DinQkCuvvHiFGuqoQQY9VrQmRzffmx90SOiwo+JYaL7EukCKu/a59M934+Yg2/3MZjyufeNxcH9WBN77pvu45gY9af4tPtImWXngiYRmoGodgGSckSY1KG2wi8LHCVQJhuNifuPT/o87rPP7+/4T/u33/NMPxJgvw57avbbT5heHs0nj2jPGlJkaqpkZJKOuKxhmKsiAZZCxWS7xzDCcTjk9OieKE04cH3Lh5k3Q05ujkEGMNtbeU1kCiWeY5y6oizTJO50vqynDr5Zd4Rac46ymqBuOhbAzL1TL4bihPbQuML6hsTTRKeXByH6kCUBzbOJinr2pOz84ZDsfUGApTopXHa0leLcmSAVGqmE62yZc5ySBh6FKyQcSDB7dJ05i6XtG4Ah3HlFUVSvlkTVUvWCwipqMJWRqD00gR4axAyAidSRCe2tYYG/wQlAJra4wxjMdDBtmQLJZo78CF6ghnGgCkVgHAlgIhVftcJRA9eWJpmjIADpHG1jW3P/iAQRZTNxXeWVZyjnCe/d19jg8eYirL6dERsmyIKsfXX3qVQZYxSDOmWyPOz08xtiH2MZkasDrLWS1rEMEQ18qQiVmUUNUSITLiRLBcNuAdaTZgsahYLGuUjtjZ2cMLFaogdHBXsm22OlIiW4A8ALjqEcDX+7X5qu9lg4IMkVKhpNJZF+SnnEeItRmxoM1wFwJnQ7UHBHDGmFDxJIWkagzWWBBBPibWEWk2YBzHjIZDhsPgv2GMQbUAI0KwmM9xRWh/qTWIkNWdlwVnsxlbW1uURfAi+dM/+VO0DAa109EYZxvu3rlLoiR/9Xf+Mm+8+QZXr11jb28vAEuDQQ/uG9tQNw3hRuNbIsFh6gqhBLplj7xvDb9FyPp1psbg0VIRxzESiQVc+8TTESMdaNqFcx7fViN0RukAXsgeFOo9LVpfg25aJ4XVr8v71rfF4Oz6XG4uI6VES9UD9d12g5TZOntdiFZGryUyLhuNGxN8ZpTWKEIRp5Ky3w4uAGv9kbqQvd3Jx2Rx2varcK01Td0fT7efm8cdqlNcSLCREikV1jmss31b9KQOtMD0Oj9N4i+A1N06OzKmA7I3wWvvg4+HUmtSqDv2ywbFF86dD9JZQgh0FPWgX2jrqCdsnHcXvgv7BmyQID3oLh4lc7rzaq3jhVu3+Dt/5xbvf3CXP/nTH/Lu+7eJ04T9wR5xmjCbnRPr1qPHWvb399mabJMkCd//o+9zcP8Bv/3bv8H//T/9v/Dr3/1Vfvf3fpd8PmOgNcqDKB2C4CEjFa3hm+irvZxwGC0wTtBIj48kMtZoIfgrv/kbFGcLPvzgPjZNWJSWU1HSWEdRFBR3V8STIYU1xJFiKxsyijTn+Rkim+A0NI1BNBZh4fT4BCUEWij29vcYjoYcHT5EO8cwElTFilgpSlOzXC54eP8O1lTYxoCvOTl+yH/73/xD3n/vbZRwbQZ8AJNFd7140We5dy9Lm+2/2V/CCdrAh8QGCbcuHenX1cnm0fUXa3FKBiLEebxw1HVNbTyNszTCYSSU3pCvVhzPz6m9I1EKTxg7yjpIP52eVfzs7bc4P51zehYkmcqyIE1jssEAoSSD4QAE5MUqVJ+enYX+qxSDwYA8z1mtVlzZ2iNJEs5PTymrCq01WZbxtTff5MGDB1RVzWuvvcEHH3zI9vY2Uiref/8DXnnlVSIdIZVmkGW8884veOedd5hsTSnLAoDJZBJ8iOqaoijwQF4UbO3ssL23y+0PP0RqzbVr19jd3yFfrfA+SAnO5guyJKExMVvbu0y39pDKBd8KL5nP5wyGEiE1WZogcHjjUUoQZwPiOOLw8IjxaIzWimWeY6yhLEoy51jdf8CHt+8SJwmjYbinZFnGeLqDs5ajkzPefu9DhsMBRVFwdHzMYDhgOjnFOiiKAgj9J4pi9vZ2yQYjzhYlVeOJkzHjyRa7u7sUecHx8QlSWIajEVev7vHiSy8iBX2F19Y0+FI1dcnZ6SlJmjIaj0AKjHGsVjnHp6dYZ8jSlFW+oigKjo+PGY2GKKVp6rYqCIG3YXwZDAakadqO98HfaTgcoKQgjhIGWYrSmqqqWOUFWZYyGAzBS5qqRkpBYz1pmoWx1gc5VK0jBKqXxezGVyAQJ+0YqrVGcfG+2I3/qq2Kll8RI1/FJ4310PyM74yb8NjnEF+CTP+LIejTFn8ZpMhz3difT6Tll9rbvsDkzcfGV2TIR8dTntsnVoRcWFf/69K0Ryc/VVwiSITYuA68R7jWd/Jy6vtjAONNo/MLlSKbFSGd8fkGSbL+vJ7ekyOXqj/W3/l+2hPJENbTN0kQIR5HjFwCuzcivOd0xuvBhzQs4XmUFPGPXcefp+ieFIKRweZzw8d10KfrwD030b1f9tt53H500t8eiUMLRywMmRSkUU2SVsSDmqaQkEtcAXKTyBMEeZMe7/G9XJYXItBj7Wcu7cUTe8FGk3zinnJpQ38+h9z1M5ffmAQXeaMLBNdTxJeaGDldzImUQMoVV69epSxK4ihmtVoAcHByyng8Yb5akg6HPDw65uHhAddv3aCqK2rTMDs65PTsFARcu3qN89WC8XBCojNoM+GrqmYwGFA1lsVqxs7+DvPFOednJ3hRIyJLXi/wvuFsNQMccZqAh1Wek9cFtTUkwjObn1FVhjQVDPQIi+Fsfsa1m9dZzRc01qKihP2rO5yePqQ2OfVySVUWoARIRTwYoeOEJBMsVmdsjcYIDVVdEKsBgtbLwbeDtYKIkJ2vtGSQxpyfz8lXC6bTIRKF9B4lgseBlBopkvZFPGQJ13UNBMC6aQzVMpilO1MjvKUslszmZzSm4PThMdNXXqQxBfPZOTf2rqJQFLMlcZRg6gZlHW+8+FIwna8qJIrz8zPqZcUom9I0FaNsgjcxTVGTxlOiKKOqZvzgpz+jdhZrJUqPSJKYsjqlqmqEkByezMAH8HVnd8gyL7lx/RazZUlelsEsXkp8m7neAVFCKLReg6sdeN5lwvv2wSAMjrL9HiDMF0Bg1QPDSnYm2gF4WQPqjrLMsdagdUSURAzjhCxL0TpiNJ6QpAOiaK25XpYli/mKuq6pqorFcg6sgWcpBHVTEUcB2GmakpPjYySeYrXklVdeZns6oa5KhlnKYjFjdnrKm6+/zF/9F/4dkliT5yuMs22FkqUul9RNg9YKaw3G2R4U9d4TaYkQoQ2kD2bbAEkU9+0rhbpQXWOsC7I8UmCdRW5kjIc23gC5N8B1oAfVu3WtQfXwf1f50VVfVBugZW0MZmPertojSZJQMdQ+DXag+ib4/sid69KDa38O2uoTay1FVSHbDOGub3QVKlmW9ZUhxlpEu19RFPyMOkmwOI5IkqQnAzb9bbr+2f2vhOzb0W+QFV17CSFojGmPT6zbdNM0XuueoOkkx7prYPP8iM7Xw7oL07v5oijo8V+W4QrSZyG/w7Rtvkn0hPVYHgfZbBIwm9UJbJAwxoQM7+5cWBsyzq3xfPtb3yQvCn7y059SnJ2xyAuSLGOQRTR1zWq+QkrJT3/yoyBFaDyJznj35z/n+9/7Q37zt77L3/zb/wan50dEXqCRSK8RvpUNixRCQu0tXuoAtAqPFeCkx0mHkZ5VU2Fbr55vvvl1vv7ir/Af/73/hB/86KfYSDFIFIuqJk0VxnjmqxWjnW1+47t/gdjAyXt3OD9aMi9z1HTA9Zde5vTOfZJIYhuLayyDNObW9avsbE0ZRoJbL9zAmQLXlGTxkGgo+cU777E1HqCSCUdHM0xTc/DgDotlwdnZUahwsQaP6yvoAkEoUX06Gf21ttlHNqXOOmBr8/xtXkM9UbIxDmxWWFnr2mIG31ZhqeBrEWlO5jPeu3ubb3/jm/hY47TESVCRpmmvl7qu+Ef/zT+iXK1wwPbODkmS4rxhMh1jTIMxde8jFcUKpWQ/dnSyWFVV8c1vfpOHBw8ZjQasViuWyyXT6ZQ8z3nj9de5d+8ei9k5v/Zrv45Sivfff59XX32VpjEkSYrWmocHB6RJxs+Pjjg/P+f1119nvlxw79596roijuMgAdoC4bt7e8xmM+I4ZjabIaSksYZVkVObikgJVvmK7ekOxhhy6zDWMhylbG/vcXj4gGQQsVoVfO3rX0PphNOzGa6xfcWWlJI4Cdd/nhf82Q9/iLWWJEnY3dthsVigtWY6ndI4x90HBwjvUEoxm51TVw2R1gyHA07PTskGA3Z2dlitVszmS46Pz7h6/TpOCE6Oz5hMJlzb2qNqLMd371PkBXGSESUDhFQslgWr1QrjPN4YhHesViUffPAhw2HGm6+/ghBw586HLJdz9vf3uPXCTaSUnJ4cs1ou0UrhGkNVV6RZSnJ1yP7eDRCO7e09JpMp49EEYxrKsiIbDkni8MzTVX0a22Abw2Kx4ODggOPDh6xWQWayrsrga6c1cRyjlGI4HPLiiy/yxpuvE8cxZVkCkGXDYJgedaT7RWLEtOPyZTLfudDGHVnSPZcsFgtG4wlfxVfxaeOZyJEOPHrim/xnAAZ9FmDxZ0W2dGhNJzD+WSAVz7U9nrCuP58Iy8X43Nvg8ybRnnOISx++zMfyS4oLpMjjyI/NeNxXj5BTz0DGPO5/v/HjNr7YnOFyZnYvP9R+VheneeWf4DdyyWNErKcHcNo/6hfSfe6lt9bTxab00QZqLMTFuoRHm3ndGh1p0jdFKJO5cPvoAXfhW+7Hr9f75z26NvedfsXTtMrTEijtXJucCxe3c2ENIuxH6JbBiN1JQaZrBmnNYFCT5xoTa1yk8DV9BdO6H63B9kCKsM6D6JmgNRX0uUX7uOHh00lzfWnj0XvnI6TI5t+niC81MXJ8fkwSa5IoIZ4nKBS1MRwdnpBlGUky4Gy5YDrZwnrB2WLOeHsLh6c2DWVTgYRkEF6IdaJZHM+RMiJNMpb5iiwdkQ4HFFXFqqx48YWXODh6iI4Vw/EIL2vuPnyfvJ5TVSukFjgvKKqC8/kZx8en6DhGxzHWW4oyyGoJqyibHIclS4bcu38bVztu3XqRNE25d+995vMTUIGUWKzmoBXGOeRqgUcjZYq3FU4aGtOgnETS4IQg0ikCFzSunUOpLhvckWUxSoCra4ZZwiCOUa5Ge4G1NdYH4LWqKsqqwFjbkgJBesM5qKoKYyzKWkyZMz8/CQSA8lzfucKLezc4Oz8hsZLqPA/tWa6IdUJRFFzZ3eL+w3tsb29jnUMJDR6kjkmTAbt7N5gvS6qV54PbBxwen+G94mQ2p/KOytTUZQVIhqMRaTZlb3/McDBCKk2SZSRJTJ6vEEKwWOboJMVXTQD4o5bEQOC8R0UJ1jjqZg3wKaVQujOOdq3WoEAICVJivcUaS5olCKV7UNo6hzNBpsd5gzEWvCeK4mCoG0ekSUqcxIyG4x5Y11pTlhVVaTidn7DK8172qWkanDP9fFk6XAP8SLzzxJHEuoaiXOG9JR0NKIolp2eeslxw8/pVhPesFgvOTk741W9+k9/4i7/GfHYSJK7opKIgz4sW5FZYE0zGUx31xEIA40Neq5RBwkj6qAe7m8bgfZBuMdZTlcF8VikVKiQ2QPPNkFLgHL20VZgme/mSKFEXqj2AHjTqCC6lQnXQarXq52msJdK6Jxrqum79ZS76VWxWYyilWlkrfxHA9wTSp5X7MjYQbBbX+8hMp9Ow3XZ5a217Dt26bylFmqb9tjsgrKtoKkt3ASyWapNA6AgJFwyUG9PerNdkUmd2b1zYJ9dm/kgtEUqBCz463ge5vaZct0kURTjvHqkC2ZTeCn4Aa5Kl8wkJRMz6mDalz4QUWBe8azpJok0isltXy6H0D6Hrz2LjIaV7CrhoRCxEuLa991jn0EqwmJ9SrOYMslCZspjPKFcN9++ckCQpgyzDOsfe7hStIkzpmQ63WS5m/G/+V/9rfu9f+ec5Pr6LEAGct9aB9iEHxTk8BiVDtVR4OHHtTtv2jSC0RZoMSAdjvPH8wf/4T7nz3h3eeesXRFHEWXXOvYNjknTAeLRDrDWLxYrFzPNf/uf/BXvZhL14QiYGXBtPkeMh0qWMBlssT46JowgtJGcnx/zwB0tuXt9HSTh8WPPqqy+SZjFlswQETXNO4xTSJJwdH7K3s493nvPzU+qqAGcIFgui9RdZ+85YaxFt/1+fL99XswnWfdTLzSofQv9pz6G48LTZnse2si6cSIW3nqauwgtHW6Gk0ohkOGAxX/CP/of/jh/++Edcu3aNo+MjamtZ5SuiLGTgr1YrnHPsXtlnOBxycHDQe9909wZjaCvBRE8K4mVPmJZlyRtvvMHJyQlZmjGbzTg+Pm7H4ZQyL3j/3fe4ffs2L7zwAs55/sE/+AfcuHGjl9V68cUX+clPfsK1a9fY2dnhww8/5NatWyyXK5bLFab1pkrTlDzPybIMKSXvv/8+WZYxGAyw1nJ6coaOYk5Oz/j6N77GfLngxo0bLFc5SZoyn80x3rGzt8uVazf4x//0n7K7t8PNmy/w2uuvs1zlQcaqNfNOklbGyXi8C9VuURSBFBRVyflsTpIE0l4qRRrH7Oxus7W1RV3XHJ2eUJma8WSEF5BkKYvFguEoo6oL0iQhSQaMh0NeeeVVVqsVVVVxeHgcZMZGU8Z7uxRVTVPnmLoMhFbTIBBkaUQcSQ4e3KExFXt7e5wfHxIniiSOmDvL8dEhWZqgW9I5TVPyVYGSit3da+09M8E5wenpjNOzM95//z513bA13WJrewt7OOP+3btUdc10Omil1AZMJhN2d3bZu3IVb7+BdZaqKnDGUuQ55+fnAAyHQyB4orz9zruMBgOEEIzHY4xd4Jzj9PSEYrXqr5turNzanvT7Hfrjeszt7hcdWSiEYDAYXCCdv4qv4tli40VyM9Pu45e69OFSdCmcX/T4LHfz4wDNT73u57iyLwB694XsLZfB3s9lm5/Tdp5rfDH6UBdPVW3xabfwlJnZa2DuKeYWlz8/4zKP/f7p1nFBDusJ51N4T2t1irQdWCwCcXEp0WlNWKxB5d6ofYMUuegp4tfVJRcIENakxyYhcnlau/yaDLlYLXKxKTa/2/jxFw9l/eMvkCkbTXeBFBFf8iqRz+KW2D9iiO7XR88rNoiNj5bHurh+wuv1BiHlN35361t3HSk8Wlqcg6Gu2UlzGhNxPpDMMk2da2wdqkakFAjnL/YV0Zqyf8SefXxb+kca/ROPXN16/Mc28//sQsDjO+4mGdKSRv4Z7g1famLECzg+P2N7axt7ekKWpBRFSZZlVM7QVDmT8RZ5U4aLYDIiGwx4cHAfrSWNd+AdpakYjYa8++G7DNMhcaLJi5xBOsF5Cza07NZ0m9lixmg8RseC1MXcffg+jQ3AtRe0lQcSHceYoiQvK7RxWFewsxNMOa1rgABoHpyc8tKLL2NtyD58cP9uAIyEoW5qzmczpAQnAhhrnA3A3mLO9tYVhIywrgkGuWiEVWgl0SKYgEZSIbRCeI/zkMSa4SBGK4HEoaQgEoLaGMBR1XVfRSGjhDTSwfS2KDGNpaoriqJguVxhjUFYh68KvG+9OBBMpvvM5jlCpuzt3cQ5S1kWCKGpjSNOB9y++4Ct3S1kHGMbi4ozBtEAa+GDu4eczd7nwcMTZoucsrLoKCMbjoniMZNhxmR7ineeLB3grKMxJlRV5AXzxTGz+Zw8z6nqkNnZGIuKEyDIg5keWG8ZXqEQ0m+Aeuss+F4TvL9xBlkl5yBNgwxP3VS99ncURWg9II4ikjRhOByglQYBSq4z9fOiYD6bBxC/JUGsMa0UGnjX+mMoSZQmSJkiVTDMFlJQ102oApJB49x6Q1Xm5NYEsLteYeqaJIkYDwY8uPsBe9s73LxxjV//tW/x27/926SJpCoh0ipIdVlDpCMGgwxjA5nhW3kgBIhW2kO3TzLGuJZcCjL1OuqqO2h11INpumofgpwNZukogdbB+2OT6Oi8KmRHQLRPK13bdnJQmzJYxpi+AqMDNqWUjMfjHnxN0xRrDFVV9eRSB04ZY9Y38Q0wv/MJ2dy/jqSA1rg9WsuwsbGOTRPwjvhaZ8HbPlO4Iw2645M6eGyEzQUAt6vEMbYjGOiJCghgWed9UNZr8sU5hzM22LG3+6jaDHGBwOLa7GjXEz/d324fu/3bPAbXmq47ZxFCX6wm2QDzuiqZzXb1Pux72hpLb7aVECJU/WwC6xsVRJsgvPe+JzU7Y/fufG7K5IVUJ4uSMb/xF75L0zT8Z//Zf4E1hrPTM771nW/z7/27/y7OOf7+3//75KscUzuybMQqzzHO8l/91/8VUld897vfCFVL0iOjKGS0A0KL0A4qEKBKCISXRDhiK5AOpFUkVmFziyk99+4/5PbhKfHWLlsvv0JpGu58uEBFMYvzOalMGI2nRLZCNJ4Xrm3jC4PUDdd3r1JVNYvTGaujIyppiLII6UKV2tVrV3CmZm9vl+3tEccnh9x/eI/RdAxSEMcJ2SBBqYSydpi6oSoKysqAty2p1fY/VCC8fbguu/O4GZuePqJd6jKg250v2uu6G0w7sqyXLdroP0IFwtc2BotDy5iqqsI4ozXD6QRT19w+uM+7dz5AScWNW9dxQFXX1E1JksRUVR2q4drM++66k231ntYKpQOZa4xBiu5a9rz22mtEUcy//Xf+bf7hP/iHvPPO2wxHg7CexrBYBKLp9PSUvb099vf3+dPv/yn37t7j5VdeYT6fc34+5+HDhywWC1544UVOTk64efMmWmtWeU6apEymUx4eHOC9ZzKZ9NdCV6nZkajGWqbTKYvFgg8//JD5+QlvvPEaZ8dnNI0hTTOUUrz11s/41re/ya/+6nf4xS9+zosvvsj777/P4fERQkgEmiwbsLU1YbVaMp8vAMFoPGyvU4n3YdzZ3d1lOAxAf5KlHB4d8sEH74P3vPDCzTCWNDWLxZwk0bz44pusVgu8T9ne3uLN197gJz/9GQcPHnDj5g1efullpuMxSZKEKpdVDq6mXK3Isoy9q/tsbU0Zj0eBWLQ23Btdw9bWFjhLXYdzi3fMzs+ZnZ2SJClVVXF2csad23fxeMbjCUkSZLukEjR1qNbIBuE4P/jwDvOfvIVpDLP5nDiOeOXVF9jamrIqCt5+5x2896RxzHg85ur+HnEShTY7O++9jVYt4dH139OTE7I05fDwEIC6qcJ9DVitVsznoeJzNB5hbM14PGY8HofEiShCuLWsVjcGdmPxeDzm8OiIr+Kr+ETRvtw/dbmIvww0PHm94qlW+JziE1d+fLEA3ecanzBL/Jcenymg/Snj89i1L/Lxf2R8Ma6lvj9/ZsRklyL+8cPmhWvrWYiOZ9ntpyI+njzPZnttmqd3ny9XjXTECA6kC1XwwolAaPgOeGTdOJd+LniQ9MRIkCRCBUJkUz6rX+7j5LJ6/xCP2CBMei8RLhMj3XH7nvyA7layeeYeM0KK9Z9OOitUiriQuPURp+TZ6iA+3/h87gVdx3j06rncJv7CvB8158Y3j/uqT/rogLuu24T3y0gIBrpm2+fYTGEzTZ6llKnH1QJfrvuqt6z7Jr63tek2HnAN/7jDe9Ier/90yZ9Ps9gT43OuUvllxsd0i8eObc8YX2pi5Gwxx5ganS+Ik4iiKTibnTNbzBgMhrxw6yU8cD6fEccJg8GAZZETxTHLfE5jKqxrWK7mSOWo6pIoipgtztjbuYo1juVyQRSlxFGQwkBCVZc01uNl08rGxJiF43xxjtSCOI5xSOraUjcWHaUsl3MGgyFpnJImKVIInGvY3h6TrxbEWqFUQlNbpFRUTcF8uaSqDVorGgMeS2Ua6iYnyYZUdYlwnXyMoKkakjgjSsJ+esSaQexuAHi0UmANwoGt6l6GRyUJgzTufUWMCzIxCMHErUmDTlIlkkGuwtQVnuDhYF2DMQ06kjRNhbOWpg5/lZCUZUmWZFytSxCesiwwNmRhn82W/OBHP6KoDI6I8f5Ndm4OQWhUFOMQQUYkzzk7zzk+PqYoykAqVHXvByGFRMj25iVB6ogkivFChgxvDALbA6hSBgkhL0SQIepbKvh94CVCtNnKspMfEW0FSEpZlYxHV4mThDiOUDJURSghqMoSYyxFWVKWJcaGrFxnHc476qoGghF72O+oveFaRCTBNzR1fclbIoD5URQRaY2WkiRNiOIBSbrHaDxgkGZsb02YTqfs7+xw7eoVtqZjdre20FIwHo1YLhd4Y4hjHUgLF/ToHaHyhQ2g0loTPEJUqKAJxuEySGJ5G24MSrXgPUitEcj+wbDL5ulMmIVqKSm/9ozogHTnDM4GFc8gh1P3ZIbdAOrDKtej3qaXRVeJ0PmE0FaUiMfMK8Q6o2Btjivbvt4as7dg6dp8XCC1wkMvB9btzyZB0B3f2q/G95JVmwRM0zQBlCVUMQUiQrR9I1R+CBfOu3UmkEQ9AQLGO9I4IY7XZINr/W46yTjZer8YE55wtVa4lvTr9i2KIuCiLNUmmdO1AfiWAFwDdx0x8aTovpNStcTXZpXMWsYslKKuz8Hldt2cpuTaL2hTysm3hEnPjfiGJEr5y7/5FzFlxenZOVk24Hd+57e59cItZos5/+K/8Dv8/u//AVVpKMolUg/RccLbtz/gP/3P/x/o4b/Dt775NZaLBYmWfSYVPuyHFIralGgpSHSCqSpSJ8EpjBW485qD44e88977HJ2eMbPw4PAB5WhAXpVs3XiV4daSW3tXGGUJ21sT/uAPfp+8WOF8jYwElSuZTq/y+tZLsKhY1TU/WBxw6GvOj88YD0dMphPOTk84OZ9hveX23Qfs7e+yqgwqirBuhrURVWV45ZVX+eCDe5ydnRPFaciGt0E+y9jWUweF867tT+LCu14H3nb9wDQN3q3Pw+Z1EczVN83WW98EoRByDal1vkO+JaEQm1JpAutKZC2IdEQSJyRRjBQCawyrsmAUjUOVXd20iQr0hFnXp3rfHeewFpwzrf8TOO9IkogrV66wt7/LG2+8wdnZCdOtMdOtCcv5KuD1xlHk4ZkhjlO2t3fJy4J79++TDQeAYDZfcnB4yMHhIXt7VzifzTk4OGBnZ4fhcARCsLW9xc/eeZvJZIIxhvl8HioNjGE8HrNYLDDG8Prrr3Plyn4vc5fnOd57/uSPv8d4tMVymXPz5i3iKGY4HPLO27/gO9/5Lu+//x7L1Yo4jsmSBGMsEslifg7eopRkPBpQ1zWxjkI1bVlQ1xXj8ZjlcslsNiOKNEkScXJ6AtaQpOF5IY40kR6zt7vFKl8CFmtqBpmmqXK+/6d/xPx8zng0gSs7+DpnZzqlLAqapmRvZ8RLt/a5d+8eUkp2dycoJZiMJFk6wBjD6ekps9mK9999wAu3bjIeDVkuFhR5jrWOyWhEkqQIIdl9ZZuvvfkm8/mMk+MTGtNQVCuSJCZJY5z31FWOdZ7hMGM6HVOWBePxAOssdVUxOz+nKArmizl1VQWpsMGAuszZ2d1hOpkwvJ4FwqaVStzeDt5EaZqERAVjqOs6+McIGA4yIq1pmoYkSfqxX0fykXtER9x10zf7btM0fYLFV/FVfOaxZso/Np4aF3ge8Tjs5M9zPGXDf+Ga7HmRAp9Fx/tcOvOXD9K6SEQ85/g06/ykfempWN/1TE99DT3t/jzNbB9HdFz4+mNW2OFBF4DDDbBIiEeyzwVtZr7zCCtCRXl4tUZ0wLG4SJRsymr1MlkdKdJP6ypBNsiRCz+b1SEb/2+SIu337ZtD21SPKe+54DPSt1yQh+4TX1vSZJPs6LfjkcKhuh9cqBjpq0YutpjfmPZ4WuCXG/6Rv5/N3oVjv0x4PH5b3Tm8PPVpqkgur2jjFLcRJM98S2glwjBSFU2kWWYpelxDlUCjcKXE1SIQgsJffA7q+ubG+jsvlWduwUvr+UQhvnh966nikxzzRnt91OIXxq/N8/UU8aUmRk7nZ6RZjMXReMNqsaL2DVvDKXldMlvOkEpTNTUy0iyLFVEU0diaxtQslnOEclRNwfFZkF5YrmYMsgG1rTg9meEawfbWLjoaUJkyaNe7BucslSloGotWMc557t55yO7+Dgwj8tmMnZ0ddrYtWkdkybAFRaM2k9vgjcXomEEmqKsSpEVJjXeOsiiQSnP92q2ga92AUALjcry3mNoiIscwjZmfnbI8nbO7tY/LBkSJIsvGpMkwSBrhsM6AFwivaIzhV77+dbb3domTlOFgQNUsN2RPLB6L8Q5nA0EQwK6WVPEWbyxWCLwTeKXQOiHKBFF/M3EkrYmy8K3sipQ4Y4P+t3OYft0OqTTLVcHO1VeZL3P+yf/3jzlZlOTlnLox5FXFKs9bLW7fmpoGgEsohZeaJEmhzWYPWeQeIdbgdA8+CFpj9LYawgdvJecdWkmcDyBwV53hfJDFGaQJo/GI0WhAZ/itpGA4SlEIyrqkqYogm1SHLGWtguxOIGxUn90eiBDPcDpmMhkhhKCsKqJIgzNEyrM13WFnd4s4joFg0DoYDEiShCRJGY4yRqMhw+Eo+FGkCWk2IM2CJEcSaSSB7MFbvLWYpqEsc0xThUoka+lu6c57CNhjO8quPWYQAut8aBvfDv8+kCDWWbyzxFECiLaqSSJEkJYSCJSOAnjpXGiDVi6KS2B2kBGxuFaeqovOwB4uguPdMk2r995VKAB9Nm8cx1R13Z77i6PjBbB94+X/USC+lZNSivUtPjw8romk8KDppbgA0nfr6/52JIMQoj+3Xf/EiVAB1dQ9uN9VlHQEiXStX5AKRutNU4KAuq0sUVqHygbniOMY7T1FWZDnOUppZFv9YYwP+p8OrLf9OQB6Ysk/BhAJRInBufY67I9P9ARS2HcuVHxcJjU2M6E7EkkIgdxYD37DV0Rs9AUerRy6INklwoOU9x7dVrLVVcEgGfEv/0v/Ilk2xDhLU9Wcnx4hleTf/Nf+Br/5F/8Cf/bDH/HPfvgWt+8f44Rg5+oVjldn/NPvf5/Xv/51vNCY2hF5QVNVwUskUqhYY6ykLipi6alLS1PWlMuak+MzDu8f0zjLrMw5nC84mK2oZMQb3/kGH96+S5Zt81u//hfIlOR7f/w/YYTmr/+13+MHf/LHHB4fsrQVDFJ+cecd9oXihhozGmS8MLjC13/lZfCS73/v+9y7/5BIKk7OF+g45dvf+Ut87ZtfY7Fc8d77H/A//v4/Jk4SmrrAWcnNGy/gCeOPpOtX4U3HWrdxaXSZMeF66MZZ8CgZUsekCCX2Xd/tfWh8+9h4qQposx9cJhf7edtt0J/XMG5VztMYw4pVqKyTCmkERVWBCH1DIjeIzVZKbiOzvwOfvbd4gk/RaDTixRdeZHd3l1s3b+KcI44ixqMxwnPBgwcCYTOdTrHWcufebZIkoaqCX8hqtaIsS/b29nvCYzabsbe3j9aas7MzXnnllVChZyyNaVgsF1y5ss/h4RFXr15ltVpxcHDArVu3QpXKfM5oPKYscq7uXWG1WjEaTrHGgPcsFnO00lhrWhmwN7l37zbns3MCoamxxqG1oK4roigQmmmakCRxkOWUgWg6ePiQIyVJ01D9UZYwmQypy4qz8zOOjw+o64o0Sbh18ybXrl3h9PQM15TIaBBIWduwvTXmG7/yNe7eucuPfvCnfOc73+aVV15BCUNTzCmpuba/xXAYpCbxDu9yyrxEKc21/S1uXd9jNjtnd3eXOI4ppiOcsSwWS5bLnMlwwNWr19mabpFkMcbWGFMHOUzvWn+ukKggpGS1zEmzAcPhKPiG1AaPD98jEEqAC8kbUkhGw6wdfwSR1sRR1D8HdFVvTV0DDt2OsePRiOk0kEtNW43rnCXPQ/8ZDAfh+mmfiS4QJBuVd11029Mtgf1VfBWfSzwNwLdRWfL5vKB/smzAPj5xxcmnjU+5358iLmazf+lglCfH8zqUR0Di57jup9r+l/CcPO99/rSr+6TLf9RwsJkN9KzxLIs9TVtefof9JNsU7Tt8D/yLNbGxeQ3078aEZ3gP3rVyxtbTy+J26wyP2Rc565YY6X1HOuksBWtvkU1SZKMq5OPIkY2fsA9dJcilVtm8nPvPa+IjvHte+l6s5+nksqTwKOmIRDDxVtKh8MiNqoT12luMoP/viwlcr4sfPkNSpCcpPtqB40nkUZcs+SzkyAaMhaDFt9r/pfeAI5aWITUmkozSjMGoZNXEUMX4PMIVAmkCriP6Pteu+TLH027smZ9//KN955njS6mhdXmgeMb4iEO+MPZ8gqb5UhMjja2httQ25XxxxtnJGVf2r2BczWx+jtaaJMkwjQXpSbMMU1ZEcYSOQlWGNw1OWPI8ZFSOBiMaau4d3GNxnnNl7zpxGlPbqgdXLJa6qcmLnKPTYxpb0DSOvd1rjMZjijzn5GgJZOATlIwRWlNXJXUd5Eok4QYxHAxwpsaYKhh/e0ddG8qiYFkU3PvwPtvbO4xHOxRVQaIhGqYY0zAdTREIDu/f5+a1W2wNB2xPJwxGg1DhEiVE0YAojpAqyJWsliVXrmVcv/Yi2XAIxrB39RrjnRFCe7yzAQB3DuM8zofqANuaoCoJrqmwpkbgsU5Tm1CJ0QFGwTDUtTrm4K0N+pR4JIo8L7EOLIGkKYpAJpRNjYoGWOl4+707WCcw3iO1orEGqxw6itFOYeqQ0W6tQ6pAOKzyAiUFCI+Swau+A9eUlOBaQNcaFEFT3ngwTU0SR9TGBNBYeFCBFKiriiSKAnmDpSrm1OUCKQSNadBKUZt1VUeSJEgRJKV2JhlaK7QOvgZxHIiVuJVNGgwGbG1ttTIagdxI04RhFjMapiRxho5kK8PVVpVsGJJb2+A9YT+bpu1bDb6BujHULVAphcC1JvJyI8ueFjwWqgUOu4oAukwM0d8whVABCGd9c/DeIQUoTQDwZVdZYNFxhHO2zeqQOJqWUAlrbBqz3rcW4O6qYZyzSCGRGxUIXVUFQvYa7Lr1DOmAqY4U2cyuDWTDGnDqYtNPpCdThL8wPQC2on9oCrI/rdY7QS4s3Gy7n+4JTbTZ9euxalN+6HHZwRDkgbwJDwBKiX4/O8BsuVz2ZEogaIJfQxIn+NY/JMzb4AjLdb4Fcdt3ojimN7W2Fu8CmLpJXGxKjW1KIW3ut5TxhXbq2qqvKhCSTRAcWuDb+wC6+9aPp6322JTxEghEd6PvHkLafrfZjt57pFrLmHWE01oWLPQfbx0Cj5KqrdaCpm56LxThPVJAvpyzv7fDX/trf5Xf+ed/lw8+fMiPf/Y2f/TP/gRRRvzox29zeHTG7mjE8vyMYRRR5jleCowUOK2omoZ8vgALsUp5eO+Q+3cPMMYTJxnWCypvOF0tEUnCaJDy3i8+4Ht//H1EBYd3zxDSIqRla5Xwxt4+33j1m7x862UWvuLDxQlnDw65uzgnGyUMoojBeMSPf/Jj/q2/+beRSH7w/R9w9cp1sJ7bd+7yvR/8hO/+5m/zl3/n93jv/TvE2RV+9vOfMT8/BCHY3d3hfHZOcX7ee/905xDW57aTcfPYfrr3of3opNrUmlzrzod3rk3UEu24cZEI2ewfl8kSa4LcJS251Y5GeCH780zbQxweZ8O9OVKi7cOhkudyf9yUouvGt7qpqOua0WjEr7z5JqenpwyyAdevX+fq1avMZ3P+YD7vx5d1xWHwI5nNZ6Rp2vuDJGnCD37wAwaDQVsRFzGfz9naCmT3w4cPWS6XLBYL4iRmvjjGOUcUaaI4Ymtri6IoyLKM+XwexiqlgrxY3RmD5yyXC6xxmMZgjWE0GjOfz7lx4ybWWqJIM5vN0EoRJylFUdA4Q9MYhAjeQ1k24Fd+5U1G4xF1VdGYhrOzs14iKssysiylrgr29raZTqY471CRJo4jVqsVkVK8/NKLFEVBvlqQxDF5URDrCCUEw2zAzevXqMqCyWTMlStXcN4glSSJY8aTMePxsD3PjrosyYuS4XBCmiZEkeblF26wWq3Ii5xbN66idURTt5JTNrx5CyFpqhyURccepcK9SmvNcDgOo7SUsL+NEBLXkl3eJ0ihgC5xwyAQ4CftuKvb/wPp14/bKkKIGGtN8FmiJfO8p2k8tjTEkW4JvtBbrWuvjZUjTdO+cq7vV+5iZWE33nXXVVWVfBVfxSeKTeDneXIDGxmVz2u1n+nr/mYG6OcZG1jjLy2+SAD8cyc1Pu16fjlt86UTQ/k0ZMFj1/UR/38ecXk8FE/4/Jls+6M34D9uno/ZP395nsssgOCiBv+TAMUOy+xeyTwIt4EVW0KVd2tUDgSZrEfIES5VjXTb/BhSRLA2We+IjcvLPUW7bPI9m924vzW21ScBVG8rRWQgRbRwRNISSYsS7ivD9aeIrm1aRKWvrnh0jseRIt2luUmOPG7Oj96u3PjbbVsLSyJhqCXTNGfPxeAEeT6kXEpsIZEWVAPYbo1rQL+HKdY7ubH2j4/Q957Tc4j4JT9TXIrNtr88rf/PQ+9g/xnuRBiunv4K/VITI5WpGYwmWG+YLwvGWyMqU1I2BSjH+eIUsVSk6RCvwHjDcDjEekPjaqJUcTY/xwuLiDxIh041i9WMxbxEq4wojSmaHK1CxrsSmsbWSC2QLSDdGIv3iuFwyv27D1tJLMXRwZyyyhlOMrJBygs3b3F8/DCANHiSOAp/k4jBIAl+Hc7T1CXOGBSacTahWFb87Ed/irGG115/hdF4QCkc9z+8zdUrV9mdTNgaDZkOB0yHA6QKFzdWEEUpdR0MoOfLJfP5kiydcu/hAWk2QArY2hqiVUwaKZCBvkAovFxn2eIsYWRweN/gfQPO4kpLVUJdO4q8IDclChWIEC8pq6KV6oLG1EghaaoGEcUYJLURqGiAjDyNzxlkY84XFdYJRuMtqsbQWIP0PhBHDpqqDvI4bSa9tY6d7W3qZsRqFeTVfCsl5L3BeYsWkkQnaJ0Eo9MkxgOr1ZLlakGZr5CuARpcC5RqnYB2xMqhE02WpWgtA4E2GqG1YjgasrW1xXA4ZDQaMBqOSNOUwTBjmMRMJmOMDYCV0ro1rTckcUwcx0RxuASHwyECaEyDbRrSNAaCHJkQDoRHYmjqIDOltcZjA/6iJU1ZEUVxm7kdzNKtCX4BSRzhTGsmrETvN+G9Q+kI59ceGl3GvodWa7/l6DuwsiVbBG31Bz6YzAN421dTCS9awDmQHR6PsaYFeRSCDTPzNtZeFmHA9G0VQe/hEYxLetmeTcPyNE17UGlTCgvoPUfkxg3oMggrEI8Ap7AmiTwe4R24cHv2XeZD/yQlN+6ShHZqv/LQZkqEr2Kt1x4mG+SQqeu26sZ1HNUFya8OKOs8RwLYC1pHxGnUS8l5FzJbNj1NjDEBPDY2ANVCkEQRUkQgOrCt6qtsNrOXu2qVzfMEF0mKzbh8XjfDdUTQhswYtD4sQtIZxHvvLqyva4Pu//7Y2sz9Lqt6kxAL+99Kd3mB0hrvJUppTN0Ef5w2s0hJhYsiqroiSOcpXnvhBlemOxx8+CF+UaLrCDsz5HVOWVYUxYrGNCRZRmNAIEmyCfiIB/cPuHvnNvfuPmA2W6GihMnWFulwRDYccnVru6/GOPrwbeLGcXa+4I/u3kOnmjiLSJXgXRWzHSWMxwOS3THbOy+yWAk+yGuuv7zLC2+8iRIVB67mZz/5KftXrvFv/K2/xc3rtxgOhgxGGf+n//g/4f/6f/tP+Xu/+Ze4fusmv/fX/zq/81f+CqNMs1ic8B/9R/8hq2IFAlSkoKl7AqP3BxFd9QZ4ESo4+gefDdJsM2RrRO/al5j1utg4x2swG4JvU0ewBF8nh3WyfardGCs8YTwQbfWfEP35jqKIWIfxpbEWKYLdTO9nQlvl1RJrTd2gtSIbjvFdJYmQrOYLtFRMhiNcY7h79y5aR1i7MU60xOH5bNZX9NV1zXg85Wdv/YzT0zP+1X/1X+OHP/whr7/+BlprRqMxZ2dnvdeIUqpdZtxWNYTr8Pq1a/zinXfY2toiTYI802Q8DlUoeUkSx+BguVgR6ZimqXj/g/fZ290lG2Q8PLjP/v4eW5MJ/9xv/RarfEXdmptHOmZvb4/5fM5iMefWrRfY2d2hqiqSJGZ3ZzeYmBfB+0orRTZIKfKCw6MDPIIsSxlNxuxs7zCdjhmPRlhTc3R4iGl2ydIgHbW/v0sWh3FtuVoSRQpjDHEUk6YJ9+/dY293lyRNKIoiEEORQk+3sM6jVJBAjOOYuipRakw2SAgjq0Xp8GyRxikAdVXhaPDW0OY4IEW4t0KoqLNNgzUhOUBJHfqh9zS2wTSWKIrBhaQLHYUqXtPUYZxwNrwbtW/O3rnWewgiGSpMnfWtnGTYrrGOKO4k5wKpbFqprfk8GNx3Y1vnMdJVQXakf5cQkKYpjbF8FV/FJ47uJf5p3xWf+k3/eb6dPwsE8gmjv2d9XpDCmsi/PO1zi6fZ3Oe5S18oRHGDNfwc9+uLBGg9VXRo8vNsI3Hpw2fR/k8CIB83Hl4mfn5J/dQ/Drl/XHwUUfW4yZdJkW7ovvzutjFECr8mRcJPm1jU5oIIEYgS7zoQm+4Rv/970WeEvoLkIimySXRcIkQE64qQ7nO7zEV43T9yTjuyY33gHb7RTduUz2rhVNl6iQiPEp5IOiJpiIRFsSmj9VFX8WUi4M9ndI8Hok+geDpyY30aN5d7+gcYAReqVoQIXU4FhIdUNmwnOU4KIu84WgqaZUxTRKim7a8b7FdIzvO9up4XG+TI08TlrvCpnpv802/384iPIIce30Sf0b22I0U+QaLDl5oYqZsaJxzLYolrDFvTCaenpz04ZpoVUZSSZhnW1VinmC9mWGdZruYYKipTIhSYpsLGMQ+O7pMvakbZhMk4YbY6R8uEq3v75EXOUA8x3iAsLIsl1jkeHBwwm89I0hRkSpqNuX37iJ29XRoruX37Ab/269/l7Xfe44UXrlOWS8piyWg0wHmHcY7Fcs5kMEYIz3RrTNM4tifbzBdL/ut/+P/iX/prv8dsNuf08IxUJ1y/eo3Th4csjk+4+foevqqYnx4zGU3Z2bqKHl1ByBSIA5CLZWsngNI+uFStgSwBkRQXBinvBc5BbaBpQsWHwONsRZXPKYs5TVViaoP3ASxqGoM1IYs0SK4EE2kvuuxwj9IevMIYz7JcYvvLx7Wm3wNm5wuwEiUjvLV4J9E6QSqwjSHJgjm5MRZjHU1d8+pLL/Pm13+FfDnn4OABx8cHFMUKbw1RJMmShCRKMVVNXhQsl0vKMsc5Q6Ylb3z9TcbjEXt7u4wnYyaTMXt7u2RZwigboXVEkiQtaBMTxxrnQzZ0Y2qauiHLMnSkaeo6AKwu+DiYusY4SxzFSDlBdFUPwqGkJC8KTJX38ixaR1hj8d62oA0Y0+BEMK12zlGWJRBkPwY6Yzgc4F0AhXAQxWmQU/HBXHkNkvu2KiPIx2RZihIeYU0PaG/KGoUqhNZ/pbuZtXimEBLZgpxSBMA5FgKDQRAqb8qyxPsKHcWI1kMk+F4QPGna7az9KToZEd+DjtAaPKsg57W5nz3ovzFf932X2a21prEW11YOXfQX6CpN1mDnIwbTPescngqDV037lZBBnxQRSKp2jBcy0EtddclmVoBSKpwPazEbZEyXed40TU/4dKbsm9EdW1HkQW9+o7JmNBqRpgnGhPVIGYi8bhk2SDBnLVKFCpRuWx0BA2vT964Ko9vHLrO5a6tNMmKzbTfb84JsVtseqifoWpKLrs+tl1uD7QL8xe+DfNJFQmuzLXVvxm5onEc6h7eQJIokackfb1GRpDbBo0gqRRQlzM/mmKJhkI35tW99h5PD8yC/tbREgwSvEsqyxjYGH1mSKOX4aM6Do/f48VtvcT5fcPDwCOcFt158hWsvvkw2GGAIhvF5XTOIExKl+Cu/9Vv8pV//C6yM47179/j+j3/IYj5neXrOMp/zwHuSNOV6c5NrwwkvvvoNrlzZZ29rh4VUDAZD/vbf/NtEUfCPqI3jW99+k9Fki+PjU/53//v/Lf/Bf/Af8Pf/z3+Pf+Vf/huUZRirZvMz/sv/8v/J4dExV67tMVvM214ePGjW5GFbGSKC/4djo+pj456xmdneLSuFaCv6fFuRtj6HnQxbuPZcS4p5QKFU6Gc+8ngbJPwgjDPSSyxt1RGhv8rec8i315cLniRSrolNsb7H9WOcb2X+VBh3bty4wc3r16nriiRJKPLgZfXzn/8cj+frX/8af/iHf0SSpqhLsn2DwYCiKIjjBGssBweHCCE4OTllPJ4wGAw4OTnlxo0bVFXF8fEx29vbHB4eslqtmEwmvW+IEIKDg4ehEiOKeOHWLc6OT0jTlPPTM6I4YWf7BY6PD1FSs5jPW1+vmuOTI3bZJYoizk4F3lq+891vU1Vl8LvAs1wuieOYGzeu9eNnURShMq+GBw/uBz8jaxkMBuhIcXZ+wnA45sr+dU7Oz/nhn/0UKQVJElMUOVJAkS/b69SjpQqVIKMh169fY2trzHgyJE0SZucziqrk6v5VjLE8ODhiOhqSjYaYuma5WlGsCqCVG2ylMaWU7O/vIhXkec5gMODKlSskKqIqc6z1PQGmVJAerKomSE225uxlURJHEUmU4JzHmnVFoBaQpDHegcEhrMf6IA0ZdX5K/RizWVFn0RLq2gQiTgm8MXgpe1nCQGqvyf7gTxeRZRlVVbFcLvt+NBmOGA6H1HWQVNyUbpvNZiyWK76Kr+JTxfMmRZ51vc+w3c8eUvplkRNfJESDxwDDn9NGv0DN4H9Z+/NRwPYXMTaAwue3zs/4+D8qO/ux5MFnsxv9HjztOX/MLP6R7z6m3z5mW/4iU7BBlmywIe0ym6RIJxjUJXxDK7PVsSsh+6jfy54MUb4lRfyaEHmMb0i/wcvkSO8ncvHQLxzV5Tbwl2f0G92gA9j9I80gCAk1kjUpoqVDb1SLqA1vkS5h8vEcln/k0yPY+BN2/3I8afknxeX1Puvyzzu6bujbfnSxeuTxR/9ob3xc1cnluZ88tSdKvEfhiIQlUw1bFLhUshplnE0bbBXjGoEvBN505EdHinRsCBf7WPf/U8SF2T7hWNNVsX9h4nGnZWPa8zjmp4kLhPIzbutLT4ycnZ2SxDGDNOV0dkpZ5VhjcQ7G4wnDUYZSwTAdIYjjFOMNZVNyOj+mcSWTrSEGwbyYg5PE8QCVRhRVASiu7I2oXI3xhtrVLFYL7t27x9n5KSpSpOkAHSXcvfeA89mCJMkRKuX+vWOu3thjvlzyzi/eZbo1YrEqSZMYISQnpycMkhSTxIwGA+J0FykkWZRhapjPcn7x81/wxitv8Iu33uW9999nd2+bm1ev4WvHr33z29RlTp3nDCcJ89NTvnfviEX+P7FYeba2b+CI0UlKaRpEHCFVxGRrFxnFOGB7e4yKBNvb+2SjXayTFJWhrIKhdlk3WGOQOKwpiLVH+pK6ahDeor1DuLwFyAQyVtTCIdA0jQnZr9ZinUHgibTqMzcjrSnzHKkESRLkwbQMuv1aRigiEi1IpaSoc6q8DBmvdRMyg1VEEsc4K3n/vV8wX5wzOztFKsFwmLI1HmNNjfeWJNY0LZBy88ZVtre32Nvf5ca1q+xsbzEYZoxGI+JYY5qGuirxtFntJvytyoqmyvGmxNYBiDOm7kG2wpWtj4NiOtkCFVOWZTDFBsqiREcaaxviSGO9AOtRKLYn2y1AHVE1DfP5gqIo8H4tDySFomjB6qq0DIdDnK2pSgfekCUxidaYOsieeUvwhEFgrCGSGqQiToL0iRCKum7o7Ds2n0e8813NYTvw8hjDV4Uzvgd6Gufa8VljmyCXVRZhfyURkZREMkJISWXrfi1roDR4sUAgMCK9NgLvJNqk0n0FSEcwrE3MbcgyZ10x0IH40YYHwqbHQGcyHgiZi74irkWDgwl66+Ed5kRKgWkz1L33WN9VVrXVRh46uZVNOSnvPUWT98C9974nQpCdVJlHR6onPNbLSyaTMcNhkJvx3hFFEWmaIpTk+OSUk5NjDk9OGA+GpGkAaquq6gkSAKXXREZXwdQRMF3bdIRRV3FS13XfnsHLJULJULHi22z8Tj6sOyeXyYq2mcNDUSgNuHDuBR4pVQ8+risRVGh9AcILjAkSRnEcI0Xww5CtVJJo5eKklLj2GT1OM6TQKBlRrGqqxhK1oKaOVPASsJad3W2QgrOzOVdu3qAqcxoriXammDTlaJVzPF8ymYwYq4Rr2wOUb7hz9z737n/IW7/4kPcfPGSG53h2zs7OHr/6zW+xt38VocO117hA1lVVQVNVlMWK9z54hyiKyI2jwfGX/9JfwJUGk9dkgwH7N6/zymuvIoBhFnP12hWGo5RMKa5sTZnPl8gooihLzs5neOH5x//0/8f23hYnp0dMt4bIqOKHP/lD3vj6TeqyQXjJj3/wFm+/8zaj0Yj5YkmWpazyBdYFr4UwLoQ3F28DidSNE11ljxRc6KN9pVbbFzYJNC/W5zWA3NARkr59uaJdd+DuFFKCEhJnuuqSFsCWqn2d8a1MoERISaw1kdLQEilCqXZMCB0v7Lfr99XaMI4qJVgul2xvv8StGy/w85/+BNVeo6enp7z11lv81m//c7z99ts9kdsB1t57oiSmtoY0zvqqNeccV65coSgK9vf3+d73vsfOzg5Syp4AOT095fDwkGQQfKGyLGM2m+GcYzabkec5k9GY89MzqqJEINiabHF4eIgpa4SSSCXx3nJ6ekoUBYnFLEuYTiY8uH8X7z3DdzJ+7bvfpapK5osZKyE4OT1iNj8jiqLQBpGkWpWUZU6XCViUBacnR63cZZCDG00mRFHMZDzFuCDrlKSB/JiMR+zv7JJmMThPka+Yzc6o6pzZck46HGCKiiQdMN7apqpqtIpwtuH0POfaYEpelMzmFaPhhCSOwv0ziYhjhbEVe/u7RJGiriusM1hvSOIIaUUr7RUIwiDDJhikQ7I0oSwLtJBkwwmmbrCVIUkyZNqdD0EcK6yt8d6hpUBJhXFNkB1sX4J0e59wpu6JfSFa0h4b7pNCtP5awWMrkOUCqVU/pjZNSFhQSjEajZhOp5RlyWw24zA/IoljkiRhZ3eX+WyGlJLFYsE/+Sf/pCcCv4qv4nOJp0Vrnus2v2Av/B8XHwtKPssCz3n7H7HQU7Xwk9b9eeH4n1c3uICOfk7b/LgNftG4kue5P581EXJhW5c/+I/AVT/D/XpaIuMjduMR0O9jl9mo3ugnXerrGz+PNMvjgF/fkSWbX24QKZfW7WWQ1PLKg/LQeox0hEdfVSI2pveECBdJkU284olEyGWE9uJRCfER09r1d0bsUtCSI62UlnBoYWm1MljXjHTH/tEDVscdXY4nQf1Pu/yT4nEt4S98+/lHd3vfJJaehiDpTu/lNt6kqD7umLoUOUFbOSIcmaxRwmNjyfGwRE5rfJ3gCoVbKEQT7Ag2czU3d3eDE3t0809iwR733TPGBX7vc4qP7TGPO5WXmbnPMPzmNj9B9/5SEyPOQpYMkTiKPMeaiMlkRFPXbXUCrIo5RRVMNrXXeJEGk00ZZDaKpsHMVlhrsBacbZADS1XlxCQ0XnFw/16QnVgtWX2wxDrLfLFA6/ACnGYZ77/3IUk6RK8qsmwMoqEoGw6OThBaUdWWg4MTdna2KYqasjSMshQtI7TQZHHG+dEJ0/GUphFM0wF2bvnW61/jpRdf5u2fv8evfu2beDxRHHFyuODGjWsIFeEMlHWC95IGjUgi5qennB+cM1tWbO9foXaeKItxQtEc5wxHU/b291A2YTIccVhqbG1YrgznsxVlZfBCIpA466iLFefHd9nfTnjh+oQsCln2znm0MzhncN7jvQhVCwSZsSxNUZFCi6jN+hRkcYKSAlNX7GwNg9SV0hjrwdWcHNzF1HPmpw15WRLFMcYZ4iRia2fMdDRkNBwyHAwZjkZkg4ymrlFKo/XrTCYjtrcnaCVp6oI4jtieTtkaT0jiIKWF8DRNTVnmNHVDvjinKpaBUGglVoKik6eparIsQ0mB0K0heTtfEuleV18IGCQpURRRFAV1VSKjCCk1QsJgMKAxoYLFe89kMuXGtWtYH6RbFosFZVnSNIYkSRgOhyEbWkqUVpgmZI1GsaYqa7a2p1RlHTK8HSwX51RVgdABbDfGEMcpURQ8KZxzlMUKRDCRzbKs3Z5FaxWOmSC11csTCRHM1f1a0qqrDPAenFhXExgbDIyVaocVDXqkQQSwM1+uaEyoUhgMh23Gv+yBItdmlDtncRulhZugvFLhYdbL4DkSAPyQfdtVwQSAvvWZIGToS4JJvPXgWxC1NzynNbjtGe2wDdeWgASr+DYBBtZlvC4YyYc7fCez5XsG35smJMm3xIp1YRNdJnBeFKG9pES1nh5CyR489q0njvetOb2QFLUhL+ftuY0ZDofkVdDDn06nvPDiS7zz9s84evCQuq7w3tE09P3Ie4+x4Xx3EllrAidUdXUPFpuVIR343Z2njiwRrOXPAo90UaLssseIZ00Y0RJcvWQT4Izp25/O08YHGTAhBVppvAz9qbaGpm7aPlwjpSKKI5SMqOqSxWJJWRVUTYNUocqszCuidrxtmprz5ZxlsWQ4HjEajxgMhyRxijW3qZuK+arg4GSJGg3JlyV/+Cd/ypWtv8rZ4T3e/rM/YTk/53yRs6gtZ4uSlbf46ZB/42/967jacnR4yuHBAXE2IkoSdJIgYslwNGW0nzJKY9LvfpfGWo7nSw6Ojjg9OsFVJav5jJ+/81OyOxN+71//a/zK69eZHxcBEG4KDu4dcvudd7n/4AHpaMAPfvAD9q9c4Sc//QleOHZ2trDeMJ2OODy4j1KKd376FqPxmNPjcz784H2sqVFakuiI1WoJCLRWwa9oU/uz/Xzx4brv7RfOcegzrp+ny8aXhEox38n2ya6vh3Lm4C8TovfvaPtgkBRyWOeDRBLrfgaBxFSEykRjLYhA0jpr+7FgLa/WVY2Fvq6U7K8Pay0Hh4fcf/iQ0WDA7bt3yVcrVBRx585djo+P2d/fZ7XKWz8WEYiBLMMaQ96YnvgoiqL3F3nnnXc4PT3ltdde4+HDh5yfn5NlKefn58RxjHeO+WxGFEXUVc3pySn4VmJRiLWUkvP9+NM0FbYJxJDSivFoTFnmoRrl6JhhljGdTrl//z5//Md/HMZaXKh0JFTaOR98iE7PQhXKeDxiOJpgXYOWEePpBKUkZV5QVjXGCZrGUBQ5SZKQKsF4PKKuK85OzzBNg61NS6CFe2UUJ1zf3ebFl28ySAct8epYLQvyPCfLBiRJwoMHD/nv/4c/YDQa8sILL+CEYrq1w3g4BO+w3pDKjLPZCmMahsMBSmvqwnA2O0E4EaS/qppIJaTJEK0iivKYMs9x3pImCdkgCTKWKuJ8fkJdliTJgCxNcc4SRy2J1lbY0ZLcgURvK6Fk28+FAC/xWDwCpRKEAOscSsUoJTGmvSdJSRj2HFKqVrIw9POqqoAgA3f16lXKVc5sNsMYQ1mWTKdTIMho/e7v/hWiOHn8Q/FX8VV8XIQB+elJh6chRT6rF/PPEzh9HvHLJhCesb3CKXuKZZ6Z9HmO8fE41/ONDSWFL0x8kfYFnst16Z/Tep4p+s151to6T5rvM9q3y6t9EvkBH90+z0COPJqlvckstPN0WU8XyJFHVyQ6IsS3YPDG38dts6sWofUVWXuKXCZD4EKVSC+XtSZENqtFLkhnPXo4m3uwPuTuWP2ly7z/zq//yjaBS3ikcG21SPvTEiSBOOnktMRGI1y+Ia69MZ405m5++3HxLH4JT17vL39QuXA++hbapD8es8xjpl2kVj6eYNlclxfBjF0JR4RhoGsmWcHOZIWoFHae4JIE18hQJWL9xukV6/dk8dFn77F78mnvbf0GP2Is+wziwm4/SwXeR01/3nEh2/vZtvulJka8U+SrijSN0TLGW8dysSQbZIDB+DpoRUsH2rGsFkiRUFeGk5NThNIIl3EyyxkMhsFAG4OzHqEckfJkQiK9YH5ywrLKSeOEoqq5sreL8/Dw4UOOD49J0wF37j4gSTLee/cDpNZs7+yQjiOWxZzVcs6N61cpljWuqahWFZlIaIxjO8kwK8M4HWBXNaQaZyw3d66zXBTMjmbsTnYRUUyUZNTWI6MV50tPlGwHmSBG5GXN9v4trl+5zs4bgmw8JRlu4bUmHgxBWRrnWeVQ1QFQ8QgeLgvO5kvmxTnvvXfI2awgGwYPjStX9hHWc3pwSrOcMx3u01Ql2lTIpiF4eDisaZBCEEUxmQpGz5mSaCUAh1aBZPHeUVc1OtZIHKYMOv2lczSN5e2HP2JnK+bf/Xf+Js6Hu1UUxQzGQwaDAUmkGaRJyBAm3MylEOgoItKapqpQOpAazgcO2bfm8VLUVNWKIl+bXRtjSbMUnKas68AgC9FrIJqmwZiGqgpeDoEQgWBG7qhb41etQ1ZyHCfEcYSQmq3tmChNGKSDMPgKwWqVt2CIo6pqjk6OyMuilekIQKJ1Teud0lAXVQ8ya63wHooygHsPH65aL4rwv2kanPUY64mShDjLQma+ao29nUfHCmstWZZgbUMaR9QmDHRShSqFzjDZONtve9NsuKswkFIiIhmMvJ1DRxqlgudL09QorZBSY0wTQOtogPdQNRXeGay3VG3GdRzHRJFqPS4uVkpESRz2ydKbcnvjWnmddl8bh239MSQCZ8NBNTbcbK1vUG0fNNa2oGlbbYInSeJwY/NufbMWCu8FWIFxAWzVKhAqTVO1RrtBrUcLEczkPEjv0HiKukAKxSAdYTzkZU0Ux+R5jnFB2ksqiYoUUomgTW9c/2zoW6JIKY1DYJ3g/HzJclGADIbSdf0QIcB5A1j+rb/5b7K1tcvifMZoGMD/TcmxKIpQXlFVdQsIq/ZvtB5XPVi7rqbpspqTJAmfZSADO8IstEezUcmjUa3x+UXfCQkEfX7ZkW5+/djmvevPu5DBw6nLi/asJcikak2QkcSRIkoG1FVNWdU4oUIllKkQKmOyM0FIySJfkS8KGl+xmM1RfkWWpWTpGBEPcEpwcJ5T3jsm0wlZkiAklE0DzrO7u8PxyRkHh4ecnpyyIxUfvPchRlgW3nFSVuzdvE6Tr3jxa6+wuz/iD3//D3l49wjnNfFwSjyesHv1Gvt7+3zra9/gN37921zZHYCvKYqKP/zez7n3wUNmR2cs52fMZ2coZXl45xf8H//D/wN/9+/+Xd595xcIK7jz7m1G6YC7d27T0OCUoSpLfvLWD4NUmvU0ec7u7i73Tx9QzWquXr2GqDWy0tx59w6r+YJIBfBaR5qm0SytA0I1lrGW7slLKh3IBnyQ+SN0Ut/+BNIryEJ2HiG05zSMfTJU9fS5OqFfOW/75Xv5rQ1/IKRHCNWSzzZc83r9lhQe0ERLFnicoK3wUuElzHusdSglgjcEgdjs+lqaBq+Kosh7Kbmz+YzhaIzznnfefY/haISOE87OZyAU1oHSEUIGr4zBYATQVrUEEnM+X7Kzs8O1azf4sz/7M65evcr+/j7OOebzGUpJptMpdR0q56y1QR5vldNUFaauqcuK46Mj0jjeyG5z3H9wryUBM3xdIZWgKnOyZEqsY1arFRbLB+/fZmtri52dHX74wx9w9/49Xn31Vby3DEcpg9GA4WiEs5AXBWfnMxbLJc6XRHEUvItiTRzFjEcTPFAUVS+r2DQNZVkgBEyGAwS0UoA1eZ5T1w1aR2RZSlNXHB0ehd7kYbkqWCxWgVxygfSsm4bhYEDVGO49fMB4PGa1XGDKkrwsyPMV062t8LxQFWRpRpZlCBnImtViyenpCU3dkMQJ48GE69eusrU1ZbFc4FzD9vYU4wzWzpFCtvdZj5cNcZrhPTR9vxcbz/yS4E+kEDKQ7XiQov2/9Z2RXUKBDM8mjXUonWxUIjpUvB5ru0zE0C8FOE9TVsRxzM2bN8nznNPTUw4ODphMxq0J/YD5fMFX8VV8qngS6PasVRqPIlJfxeXG+CK0zaXz/cw81pP6yxfh2J5nfNGO5xEg/Qu0g59wXx4F6j+n6BNiPiUZ+Kn24eNX7jdn+bg2fuLX4tGPm/NuMAN+828308Z2L8P83T+CDXLkMZvvfBk2fUUuSmgRntPhsaTIhQqRzcPZZGEe5W4uTnoEFA1H05MjYl0FsEmOdKbrQgTTddWSIko4ZEuKSOHp3mo+fkT9+Oq8ZyE8niU+q/U+r+jPbfuC8KweIlyYs312/6gZL30phO/JkUQapmnBFb9AVYLFSLDMYmwNwnYqCZvr+ghSwm9cKJu79+hOP1s8He/z2cTlhv0i3Y8eF59g977UxEjpHBFgyhLvDNPxkDhKkDJus+AjvFdIESFFTBRHLPMFh8dHzFczrLc4KRBO0hSO1aIgjSQilggtiaIEawRpklJVS0RZcXhwyPVr11mezZgtFkgPO9mQ+SqnOD2hiiJevLrD9s4OTdNwcnbCN157lbJaITxor4iTjONZg6xTpuM95icFSaLJ1ATrBauFRUUJBziWSwdSUZQNxlds7U5JhxPk7nX2traRccZgMEZFMclgRDbcBi1YlA0Wyd3zgsoYqqMzTmdL6sZircAaS1Nb0jjGWk9RVdRWsGxSfJRiRExjG+4fnZBFGuMa9q/usbMzJY5KMBUCS6wVsYwQaRI8A4SgaQLBILRiPBqxXCw4PzuhqkrwnvFojPGGxfwcHWmQARAbDhLeeO1V0jQlSVOkVNhW7qdp5UmUFHhXhfFGCoQPgHLdQCUcEoVpuoz7AHIrodrETomWYFugX6nWYNyFLHjdSymtr3XVkgW+zWze9FPost27bF4A0Ur6REkSTF6t5eHhw1YWK5AKHVDdVTmsM6LDMdZ1TRQF8KTzkAB6OanLEkvdNKlkqECgrdLwAch01hDpCK0l3gfPBSG6Kok2K1uFLOpu/7r1Xjb/7qpFun0J37mWGOo8RdY+AsYEwDz4VgT5J1qgfbMtL1cXrNcdpmkdBSDKr7O9nbc4OoPtcNJEB2Z5QagXaWV/ZBT8EXwAdgOJFWR2jDVorXrPmLBNj4oivAlPfNY7rGvwzqKUYBiDEC6UrXnXbqmtqLCOqglVUNZZ8nyJ1DGRllgfJKqUWEsBIWhJSo8QEc57NPTHKQkyLVJKsmyAsQLnJc4JYhERR5ra1ZimpDGB9PE+SFPFWodMZe+xzrf9LXjVWBcAwE1PlQBMB9Il+MGs+0SQxQtZ8qLtX52k2aYXinc+VJNsECNdVYmUCinWEmjdTVa3EmjBF2Z97sM62rZoKwxwHtdmKXVEZdVYnBeY0lAUc5omELYn53MsnrpuyFfBSDpJEoaTCaM0Q2vNVLQgPY5VnrNcLhA4JLCVDhg3nnGScf7wHnc++JCfvv1T/tV//neR21e4/eG7DPYmXL15lVdef4M/+/GPuXHzBicHh/iqYpImHBydURQl+dFDTs6OWN26xWQQkUUOrSVnZyfcu3+f9z+4w4MHD5idnFAWK7JBijWGLEn5wT/7PltbWzTGUi5zTGmQVvDySy9QmJI/+pM/xFpLucrRSuGMZT6b8+4v3uP4+Iit8TZaxayWBQcHRxwfn0D7QO89NE2oUFKyJQ4B1fabzt9AStn2me5N4/GPnoHwcK28VTj/zlu8E4HsvhBrIuQykdZ5DuEDyS3DoBVM18OiayLFb4DL7d9Nr5NuvrXXUpDf6nw0Oi+Ne/fuMZ1MsM6RJAnWuV72qsvct3Y9jm+Odd1Y3nn7lGXJT3/6U5bLZUueaxaLIJHY3VM++OADrl+/3noGFUwmE6bTKVmW9ZWK29vbnJ2dsVwuGY1GNFVFFMfUTdPfk6SUrTyiIEkS5vMZu7u7LJcL6qbEWsfPf/42b775JsYEWUiP4+T4lNt37mGsI0nCfddqh22lqBbnNU1ToaRs/S4kV69dYzActgkHjkEaqjCdDX0jiiLGo6g97x5nwjMHMni/SKEZjmLiZEhVVXjnmYyGbG9Pee21V5DCc/febeIo4sreFUxtODs/4+69e3gPk/GUF196mTRJuf/gPvfv3yeKIm5cvcYbr7+JdY66LHFNQ5al7O1v88KLN1BaEGkZKgHbDhTI505qTSJle28XtBmArQyWkK2UYvdCLUDI/hiFCGQyqjUixbfPHcGU3TvX+k61Y377tC58SMLo5OQ62UZrDUVhUEpy5co+xhiKomDWVhVdkCf8Kr6K5xkdePhVF/tk8RkABR9/Kj4CnLk021NOfLp4BHR8ztENlZ93X/yiYj2fEwj1kc39FMD+U8fncDgXSQboq+XafvVZ78JmUveadHjKhZ+SjHyUaLo0w8bx9+THk8iSro021vXIY/ulVT+y/Y4UkeAVwVtE+CCh1XuK+F6u+yIpcnE9lzf2TJfA5mE+hhx57CIbTSBo/UWkI1bBW0RLixYORSBFvornGP1peZqBXzzmU4inPyvrKpNAjji0NIyiCuOXMJQ0w4TFaICtFdJ4KNeEX7/tJ21wozL34jjApxt7LhBJn3N8WR4PN85Rl8D5tPGlJkaM9FgpqI1Feo/XMelogm0Mg+GU0XBMUZYIociXDcenD/E4pBYI5Wnyiqax4CPm+ZJimbP30k2G0YhhlOKtpKwMTT6nmp9SrGbgPcvDU+q6IRWCKE4oqpKoNvyV3/iLDMdj4iRmsVwym82ZqutsiwGTa9c5OjpmNJqQDkZM0xtUjQMxYmtvxPHJjC15CyEiSCPqKCHd3uN6OgyZ90qTjYZkgzHGRzRW4IVgtig4ayxl2SCNxC9WFHXD2WzOfJVjnGc63cE5SV7AclWBlwzSDCc8RaubZ61Gobh+JYBvnhopNcvZEYlQvPLyNlcmmu2RI/YlkQqeIbFS4C3eepo2A9+YmkhptJY4Z6ibEmcNaRJkJpI4yHDt7u4glaRuSYXBYICzQYaik3UJBskepRVJlKCURMq120Po+6GSIiASLfTgPaIFLFTrJ2CM7QGpDiyLIt1XPHRkxKbPghCiz4bvyIEA+K+B5Kqq+gqKTt5plecIJYniuNVnD4B4FEW9tngnuRVFUb/+TeKjM2ftALg0TYGL/hkdeL1pFt6RLF10ElWbfhz9NWRtkFYS+hGPia5CpAPHOxmt7m/30/1/2UujAyM3pZWiKEK2WbcdoNeBlI/zKnCtb0m3aieCZntHKniCCa6QoXIlLBOM4GRb3uo8eCcQWoftYsIKZchyjyKNdQ5nbL9da4JPiwJMUyO8JdEC3YJrUSTAuda8N5AhUgiyRKGjFO81CE1tHI1xWA/GtuAugVToyQgZbsoCaFr5rY6EauoKHYPQcf+82zQNCN1C9+EcWut6vFhphZIK5wIp1jF9zgfiQcgg2aKl7knAXs6qu4n7NZgcsqpte759IEcEG/Iy9OcyGGGHCpTNPtL1peCZ3RJj7cY3Jdqst6Hix7lWBqmV8BLgfTBlns+WrFYFTWOwPpAug8EIYyxlUbXAt6FqGpSOSAdjhFcIL5FSEWcJ8SCBSCC1ZxjFJFIwGGbo7BpWCeI0xtc12ipU05pIq4r/4u7b3D64w/vzOS/8+l/i3cWSG2++ystvvkQyHDI5OGI+LxlGCbYJ8mqTYcairhGmYTU/4oP35pwd3+Gf/ekoSArahuVqxflsRlVWzM9mvHTrRV599TWiJMEJwSJfonTK0dkB777zC6bDMVvjCVZ5Xrz1MleuX+P//Y/+EVLEeGuxomFVVFRlkHkaZgPiNMEJx9kseGNVZRn8OURM1I4lSimoa+iv34vERXdth6e6YHItCPN1VXS9LFpLonbLWNdKb11Yzzq6/neBIHHghWuJToESAtTF/upbsqwjYTZlszarTza3e5G8NaRp2o/L88UCWzcMh0PidvwuyxKANE1bAFv2xMpFUlGuqz+KgtVqxWg04uzsjK2tLc7OzmiasO779+/3+7BYLFBKUdd1PxYiYDKZcHp6ygsvvMAPfvCDQEAAqzxIWeV5znQ6ZW9vjwcPHqC1Znt7F6WCnFdYjydJEj788EP+7M9+xEsvvUhVrphMx1jnSJOEOE4YjSbh+naWJI5D5V9Vo3WoFqvKuh2TGg7nD1upQbBKM69nWGOpqioQcx600kFuK03QscZi8c6CkEQqIooCWaylJI0i7t9+n/d+9iOu7u+xsz3FxZqzQ4eMYrRS3Lp1kziOsN6TxDFZlvDSC7e4ur+Hd540jcmyNBB61tLUFVJAnEicqzC1xaOJ44i4PT5nBVoHc/SgiijArxMP1jJ/AtWOc5s+VNZaHB4lBVGkgudYR8IR+pZ1TZvgIIG1/5JoX5pinWBM0/fXy+Rgl1gQJBiDP9j5+Yyv4qv47OIpgfbN+CKSdV/0bManiADsPuVxfOLs8k8Q4gmfn1dsYmNfxNP4ue7TL6EBnrjJZwT3P3Y7n3RFj0HnLpECj5Aim9ts+1XHkXwW8QgY+nHxuPk+7jw8zXIXSAbxSDs9afmLYOJjluPxAGknnXWhQkR10zcqRvp9E2typNvUZYLkmdrm0m4/4wleEyLBcD2SjkgaYmWIhEWJYL7+lA5NX8VThmCzAOMxbdtf8s/jxrB+jpcd7iFAC8dQ1YgIbKI5HYyxY4cpPaokGK8Dnb76RxZveNadz1/64uN4n6eJ5z1wPe3+PI99/yzjUz6bfKmJkdUqJ4o1WgoGaYaUirJsSCJN1RjsYoEQkiSJMNYyGAw5Oj0F5bG1RcsYrQWzkyXVouDF6ze4PtlBYRglMVhQaYbJDdPJHsOdG5jG4AQ4PGVVIZRiGI14/YU3kZFu5Z8kk2yPSVqwyh1lA/cfVky2XqOwnjS7ymQ6oEEjkyG3XnqV3dqikyHGwngrA6VwaFzAhCjLhuPFivxgRlWBsbDMK+oqSHnMV8EAfe/KDsbW5KXj9HRJXRVEIpgUYxooFtimATcIIJOzaCWZpppMa9JEBnNnKSnynHroGaeS3bFloBukWZBQENOwmi9ZOU+UDTaSeEWQ9VFBo3sxnxFpyf7eLlIIyipHELJTwbeeG1FPLFhryNKYgUx7020hgtRLyDS3/Q3Utxn+zofszCBzRADRumzlDYCeFvgO4INECEUUxXhfXwLxQ42nEAHADYrsQZKlrKt2MJW9nKTSmqrNkE+SJGTX1zU6jrBl2QNvnZxRN99lcK4jJjqQ+GJVhu//diTKZjWH3QCRO/KmN4U1QVbKtsbPURT1lSnQgj3O9bJGwaB4bSOGFHgbCAprLVKHdrXWtdUWum+/JEl6YLID+mAN9HexWaXQkUEgWgA+eNeEES1UIXkPnnUdY5BI69zhFQiFpwXp24c3IdZG3GXT4OxaJisk+wawXhEhfKj8wIs2kUWiBDRVjvCGNI5JsghwNHXNqqwp8yVxrEiTlEEa96SbdZayttSmojGuJSUE1kOcZVgTgFzvQ4a19+u+501rzNv125ZA8HSEQgCvozjFuFCdEfq2QJhWZkooVHtNWQFCyXXGs3Nt1j8tAecvnA/fnlfXVpdsVkyF/yVa6fa9YtMbJoQxFrzt+0PXN7roSJJNIm3z2tsEBnv/COeoTcNqVXA+mzOfL2ga08qzBZPn0+MTVnmO1gGMlUqQpaEvjrMB+y/uMR4NsabB1BVCg441USxJlSQCvGkwwtEkCi8qskiCq8jSCOEqTHnM3s6Ag9P7fO/nP+I73/0tfkP9DXa2tpnNZzw4nJFXCR8ezpgOhsjhFlVxitOhEiOyimWRszxfsVouOIsTIt1K8TjLcn4K3vErb77Cr379V5EiSKhVjSHZ2SNKU26//yHDwZDd/X3OT0/5s5/+hG9999f5F373Nzg5nfGTH/2YOIpIYs3Bw4e89trr/Oxnb+HwvPTyS0SxZracU9VlAF2dRTQ1UdSdJ49uK886ojGOo1CoY+1aKqh9SRIiVGt0Y0bvLdK+cLJBGlyWylpXdXRkRXjK7JPHNrG5dt8CCXORmPUujFVdf1tX+PkL4+ZmP92sHnlcf+sI726cLMuS8XjMfL5AqUeJ527ZrlqkqxCp67onujfX79pKlOl0ymKxINIRq+WSqijZ3tkmUprpZMrh4SFlWXLt2jW2d7YpioKt7W3KsqSuavb2rlAUOYvFgvF43BIyZX+/KcuSuhZMJhPu3r3LW2+9xbe+9auIyYiyLIJsqIPjwyMOHx625GLB3t5euJe1UpNNGbxDGmP44P13KVY5O3u7NFWJdZYoUkjAWEOsI3SSMswGKBEqxIQA7xpM3VBVFXVZ4YwlUoosSUi3tnj51k2EtygJw0FKmiQsioK6XBLFKUka0zQr8qLEDzIiHRhzKWqyYcbeXmiXIl8FKT+CJ0hVrtoEC0ORh/ZvTIMSCqUjTLOWx7SmJZJbxMS1/bKrEvGE8YuOsO18taRCbFQ+dokNdVPjrGMwGPTeZMauq41Cf19XoXREpHchQSTIz4V+r3VEFIfKx8Wi5Kv4Kj5RfFZkwUZ25BciPkdS5GLG9GewXfHIh0+2/HMlRj7j9u2xry9QnwI+EWn4GYT/PNr/Mw4vnr0t+9l9C6ZfQCbD+h5bQXF5OvTA9mffw57hOJ9ivsee+yctt9HGF4iOx7YTa0Jko92eSDZtzO9baayLpMiaHAkESVcxsvEDG6TIhrn1Rkr9s3SRx14WT8TQ1y0QkhP9hXcPKWjJEUuiLLEMVSORcKyFgZ/Qey7zdmIDT/64DvfFGGJ+KfGRx9024PO4Xrvt9P25f+/0aG9JVUMSNehBA2ODzzUsRejb61fdNe/xuJ0SG7evzQNrpz1LFcMj8VkQuhca5Snn/aLGk8a3p4gvNTGinEQa0JEk0TF1UZJKTTLIUK0PRQCRDc5WnBwfkyYDTk5PKVcr6rzi5pUbTOMxN65dQVrHyZ2H3Lx5BVV5oijGNgbfWEypKYRiMV8RZTFFXZEMUrROyJcrZCF5ePsQhMZ4QTYYcfOFNxhcmyKSEUiFE5LhZIvKQe0Fo3SIlTGzKMVECi9jzhcr7EEDNsc1VW+46rygqhpm54s2o1EzHm8BDd7FJFIihMesKqzNiVzDCztT8oXEnh1RlDlZormaRujUk0Q5QnqiSDHMYiJRoc2SRK+IOMe7GjUwqKHD2wUZBYkHUy+RpkJFmlGc4pXGRQqhOuNjSd3UCA/WNi3Q6Yl7s2dJ09TEcQBuG2sQG5UDdV2HTNQWxFZKht7dyl94b3CtnJEUAi/D3TXaMOjtM3ihBTb8BYIhjuO+CmGTrFiDbWugwnsQLZnQEDI/A+Cu+oFwMBggWumUoizRWpNlWe/RsVn10YF6WmuapukNsIGesOi20fl9dJmkfdY9a7+FLsu5I0O6Y+yBZiH5/7P3n7GaJfl5J/gLc8xrrklvyrs2bMc2ZLNFsik6tUiKoqSdGWCkgbjA7BcuBOxqpIW+CcJqZL4tsFgMsZjRcrQLUaY1GMyIFMmmaZJiGza72I5dXd5kVqXPa193Trj9EBHnPe/Nm1XpyokVwM178zURcU7EiRPnef7/5xHJYyRnviilKMuyZ0a8zOhwziV5EUAkosKYHpATuojooiioB+OOlMnRrcBK5HQuSyA8jkv8W3Tgu/fppqR7K1jIgGLA+yibpmSUyQoygrfRP8YnkDbvtxIwmsCmslBpQ+KJtKbHuzZKlFgXpZwCMVMiSMqiZFAPqIqY9eS9YzZfYG1LCDFXYzAeU5UlUgrmxtDsRwBOKk3rFVJW0WBaqgh+uSgxFbxIwOkA722XZSSlJLiAIpr6KimRSi5trENgNp9x4eJFBoMxQSgKXVDoEke8Jpq27bJnjDGUhUYoFdsIkegoVNGbK7HuPnCdX8tzdbFYdGNZliVVWXfDk+du911PR+oZs4yCztlSmfzLc60PcOd5k+d3JksBhiGwvr7JqdNnAJHktkSarzAYDJK2f1x/vHcUukAEQTtrIXikdIhSEsoKpQW6SL4VJhofO2tBQy2jv4ZvWgalRkjPk3/yJF/4wm8zPHYGqQTf/O63+cgPfIYHH32ML3/xy7z47PMgArJweOW4zmWOjdYolKYqSkolaHa3CSLQtC3eWHzbUuoijTN4Y6lKzfe97wlk8AQXJQPb6RwvFN/59jfZunyZ+x98kFdeeonhYMjPfO5nuP/+h/jf/vffZTRa5+z99/P7v/d7PPHEYzzy2GN8+gc/hVSSH/iBT/LAAw/wL/4//yPGmpQ5FeeZEET/IsTS77AjLUSUOwyCxkfJuGji3SMSeutOvr7z42ZeS7KUGkKu1N1fe0KgIzni+r3c2UgpujW5P08gPVMdyAbpk259qas+oZw/nzPsOlLaeQTx3pBltLJUVdsaBoPh6hqb5nNe1+fzefdeWZZsbW1x4sQJBoMB0+kUYwy7u7t479na2uLs2bNM9vYZj8fMZjMW8wXT6ZS6rlksFlRVxfnz53n08cf4xje+wbr3bGxs8OqrrzKZCOq6xtq2k69TqmZvbw+IGS7WRc+P0WjExYsXee6553n/+57gwoWLFEXBYDDgzOnTeB+J17XxGvv7+7x6/jxCCEaDAVoqdF1z5OgG1aBkPp1x5PgRBlVFCJ61tTEb62tpXXUYa7sMDKUURaU6QqAuBwzqGiVjZlupiygzqgRVEWXgfHAoITDBoSrNfNHgvCV4R1FW1FWJVNG3xpjol1TXNefPbXH96oWYNYhiUFf4EDBNg/EGJSSIKEtZVwOKsmRvd4J1gdFgQBDRJ0yquPYqIUFKpMheTCp6K4m4eAaI14TSBBdS0EPZyQEKEcenaZpEkOX7cw7AgODMCjkXM0lk714fSct8/5dSMl6b8V55r9x56SCad0m9t1neSlLkTSOauHtC5C6/evM636Lzm0HZdxTh9nZ34K2ac29uCXeI/q5i3Dcij4eRlEFw45wVgZCQyQ7cfrOm2T0iRW6aAXPTunqEkDjw+iF1dITIQeKiX2mqL+TfLD8bZJTd8lIkCa30kw3XD5quw+GkyIHskdsp/fmxMro52DMfulj+dAMvEkHSma5H4/VCeErpqGTMGNEie40cPmGWWQ29MxdCFjThjTw/xJuZxvQuLvfq8sxTO86VsDIeHTEWAlI5ZO2QY4OYaCgVXqgktRtWwPeV5SWs/ikOvPb6bMqtH8SbFjfwDtnG3XG5Yc27vRvbu5oY8XsLdDGgHCjWVc362jBqRC8WHDtxHOMd++2CyXSfyWTKqFYsZhNOjcaMjp7CNo4zJ86ifIn0CtcsqHVJUcD2lW2MFlTVALdQ7M5h2iwo6jF1OUCvac5tXePIeI2TH3o/QlZ89KPHGa8fY23jOI0JtE4wo2RiA6rUeOe5truPKBXzRct8Z0FZCZp2ynQ6pywHMcIcKCUEFyVNiqIgEMDDWsqcaOYNIyKBsi411UZN0y44//IzHNus+ODjj6BE4KXJBeqRYOPkOoNKsr5Wo/A422B9g7VzpAjUpUZ4izMOjYykRgCtJbKQiOAQXlJXA/RwTKE0xkQPi6A81hpMs6Al4KylKgqUgLJQKeI4IGWUiB/UIwLQtqYDnwDW1tYYlEUiPiKw4NN8VkpSaI2UJYFofNWBqyFEoDxEUCOSYRlYS3JQ6U7sXDTajtrytgNnlVLpb1YACIjRDkIKhJJoiuhFEWJEZ13XUUqtKGKGiHOoQtM2Dc0igiGDwSBKdSVpEWMMpjUQAtaYDmwUAUzbdp4rmTAwxnQA9EHQr4ua7hEmXWS0D3gROrIlH2cGu3O9fdKor8HfBy+11iteKFl2LGv09yW4VksEsUMQWOtTexLTzHugpcD7pddIWVSx+70I3ECUjpOqiGQDIHzosimElFHCxUUJrAikOgKe4F2UVQsBH2wiOiLZEUkVSakVwQsSrxPbd3Bte4ZQIfXHpSyFGq0VRV1Ebx7TIABdjKIMVEjgsFBRq99ZhFTR3F5q2kxwBaK8ExLrDcZ5go8ZbvGmG2/Z1lpUqRiNhuzuX+e1116jqIaASuc2IJRgsZiyt32N7/vA4wyHQwalYjadEERI3h5LUHkpBWNXQOPlmC0j6jN42rYt1kaJIK0VVV0tv+tX611mZi0zonIEflFUCVCOcnuxHy6RlA7wCUgPgEv+OTFbrL9pgUChJF5A2zboQtM085RVI5lN9ygFbBQ1eE9QgraABpdiyQOVSzdQKRCDgoBEmZjdMZ/NqdY3+JPvfJf/+Pt/yg/+yF/n0Uc/xK9+/vMYN+f5p7/DQ/c9yFPf+iPGssIsJtTDiuANrmmZ+svU9YBybQ1ZFtQiMNQaqgolBN4anGujLJ/3PP7Q41y+dIFSlkz2dtAJSC2FoxqWPPPNr/Nzf+UXOPfaJbb2p5w5corLr17m3z3/r7HW8sgjj/DIQw/w8f/r/wXTLpjs79M2DZ/+9A/y3/63f5Nf+ZV/zXPPPddlExQJcNWFRhUaH1w37nhS1H3aeIUIADsSyZDW81zyePfXJ/J5FQKStFBIRGxeW3IbIW1OvbArWRxxYUrPUglIzhu2QmlQdGRsXrMOksT9tfJg6WdyGGMYDofdmtz3kPLeJ5mrpaxgJ7uX2nXOdbKKWeYwE+/5c3t7e4QQ2N3d7aQR19bW2L52ndHmJqZpohdSWqP7clnOOY4ePQpEwuP06dNcOHeesiz50Ic+xJNPPpmuNcN0Oo3kfFqfCZJHHn6Mc+fO8cwzzzAejzh2/GSX2VIUMVuiLEs2Nze4/4GzfPoHPxWJX+L6X9UlQjqgRStFEJ69nV2kFDTNgmaxQ1lX1KVkMIiEn5ASLRX7e9so79gYrTEcVGitULKgLKsu2yhnGAopUaqM2XJmQVUqCj1Eqpi9UyYz+raJRvBaCdo2ynU+cPYMjzz4IN4FmsYSXJw8hdYIJaPkmpI4a1ksGkChlaYoK0SAxrSoImfpBbwLeBwyRCKeEDNUPdErCxmdrAQKgcK20RPMhxClAKVgPF5jOpl0c7A/J0PwaRfu09oXySkpFSkvMko1etFldXVSdu+V98odlAxqCe7Bw/nB0kee3iklg6NvbiP3/rDvEBi8sZ43eTzuVf2vNw/fQqLrdkoEX96mvt2r036wzrf6eG6nvRS0tQJ6HXoixBKsT20EmT/bC9cWUXY5JKWAt2TpupU2DpyT1127Djl/hxEoN8zVFdDwAMHRPWgtX486/aF7PRIhrGSHeAlBC4IKeA1eB4IKyVskrJAg9NpbuW30u3hH4xFu8vfytSUh0vs/BwiRlCmihaeQjkoaSmkp02tS3JgtcpAQEb13Mogd3nBhT0D93d6X34Rb0ptdwg1/3M0c6KP7h18jhxJYxLmgREArR121jEYNaqCgqgg6+cN2zGDoBQPeWG7KMcTowkM/f7OPr7yfn3Hv0SDfSN7cm3rfjnKQFMl73lst72pipDIC5pbp/oytxqNPHWd9fcwD9z2ICxY3n7Ghxxw7vkF9f8zu0LKkLse0M4tpA3s7c6aThq3tfQb1kDYI3MIjihOoqmIeBHKtZnRyk6Prxxitr7O2sY4TnoeEQOqSzaMn8ELSWsnlS9d54ep1rBVMW4cYbzJPD9ybG+vsXJ9TaImSAtOYaHw+n7E+HtPMZgx0jC7Hxch4LSTtYo7As14pNoqS4B2DY+so6dgLC8alYmvrPFWh+OijGzzy0Gm09Oxev877zgzQAoRfUCqBmO7jbKxvPChw0qC0YG1UYEzAFzHC3vuiy2AQKhqaAwipaKxlumhwLqALgfYOpVJkoxQYA1rEbJ3ZbIIPURZLq5i1wHDIbDZDqaLLrsgAv7Wr8k4+gWQhAVPOOZSOkhQ+6XdFA+gYrW5a28tgiL4ise4o8xOC7czSo9m1pCzLTiteqaIDMKSK5u8QIsnQiziOMlwxoj57MEgpU/SuRRcFUiq2t7YIIXTAcvYUyZkrbdumKNq6IxaGoyGzpGtfVVWX3ZF9SnI/clR9jtAPIaCVwiQgLvjQkRp9cNpay2Aw6DxRMkGS68nkRiZn+qAn0LXtQ/T7iHrt8TsZ7MufNbaBsMxKsdYinOhJ3izv/yLdXbIcTQbdhRCI5CMiRASdgvd4F29+SkUZtZiu4PBkU3GH9xasQ9gopWKtIXiLKqJvxKDUFGWNkgVtGxDC4RwsFgsm8zmyrNL+2SN1SVnoeO16Szv30QSdCkHARCMMQoCiiGbzqigoiyIBdQ0uyblFA+c2RSFXSKlojaGsa3RRsJjNEcJR1xU+RQ9b60BAVVUMRqM0pz3Oe5SMkl6z2YK6qsG1LJpIFjhnKQqN0gVN2/ailxMkHVYlsSLgK1ck2foyRQKJsaaLjAexBK1ZjuUKSaLkyhzL45ozpnJGCdDNZWOi7I6UkqquI2CZ2guJ8JRCorTsMp0GgwpnWxCe8agiNA3eTFFK4qXAioCXpKy0QCEUqlDYEKLnSpDUVrBWr9OWm3zn6ed56fxVfvwv/SyVGNFOLO975FH+5Lt/ysWXX+HDjzzMX/2pH2F25SoDFRhoSeEFZt4QDASpePHCJV67do35Yo6VIXoqqIJFYyBEA23vHN/9zlOsr62xvz+lWTSUhcR7R1lqXnnpOYJpCLalme5RSslsus/LLzzH1t4WH/jw+7l+7WIEqecTNjc2OHp0AyUls/mc/9+//Lf8+q//OlVVdfJmIl07CNGtk1orCq0JwSJ8j1AIS/N1ISW6y/JYrgn9Me/Pm/56IHqRG1EqTiJZ1hUj6n3vs8v1ob8mLNf9SB5n2cW8TvaJ2n5WU+5H39sov1YUBbPZLBIbLEHsPA/z2maM6+ZtXk/zWpnJkPy9TLiXZYkxhlnyBqmqSP6Ox2N2dnawxnDxwgVOnDjBqdOnaRORffz4cb71rW/x0Y99jN3dXY4ciXJak8kEpRTj8ZjFYsH29jYf+9jHeOqppzoiZWdnh6qqGI/HXL16leeff4GqKnnm6ef42Me+n5/8Sz/NdG+fxWKBlDAaDVlfW2MwqNnaus7Vy1c5t3WdUhecOHGCxeUZVy6/xnhcceL4UYqyZDGbEPAcP36U8dqYEDztokGqwKCO58hZy5kTRxiWBVoVNDbJn0lPsIuYXaFkzBIpFFVdM5/PIAR0GeVEbWsoqwrhoG1MzKjyIQVJQKVLmqZhEUBLi7UOgcZah5SglcK1OTMvriNlUXfzfj6d4pxP98ToTYIUnW1ZkAKRGO9MXHlrQUbpySg7F+fi7tYWTdty/PgxtKrY3r6askNCR4hLlUMoDc4ZRAcYJDKk5/FVlhUIsHaR5rGKcqXvlffKXZQOB3y3Rwe+XumDgve63jcDOLiXdb4TSarXK+IegIFvYblXgNRtl3tFmPFOIHZus+1bWat652eFFJEiZdr0AM2Q48XD4ZHd97rcK1LkJlxQOPheXv9uOsYHSBHoskb6BtPZSB2ZCRLRyWd5JRIpIpZG6xqCjr+X3iKpvr7R+sGjvJW53SewbkZm5YG84VysSnUts0aSHC905IgSPspoJQmtStqYMSItSlgULpIjtzyFb8+R5I2ySm7l2wfbeyffDXJfQ28y5uvydksmN24mdBYO/BycSFEizVNKz6hs2RzOmQw1TaUwRRnXDg/CL+tbydzoneicJdQRVTfnauLnw2pdoX9NhF5b4sAI3+W6tcLTvHtuw4eX/j0grzV/XoiRY2tHWBuNGdQ1UsBQjJlea5hULYVShCZGArIQ7F1raM0cLyuEWjCdGgajTXb3HE4UTBhx6uj9BCE4efIU47U1nItxrKoeEUZHaEXBbN7QqJLt7T2cF4xGa3zvwlV2dnZZH62zs7OLM44TJ07inGL70h7X9mc4Z7haXqcuFevjAdWgQCtNrQXDYYmSDfUQCC0uGXXKIFBSsDZOkg5YBA7hLYM6MNnb5uyRkhCu88D71jh18jj7e9tcv/oczXzOoKpYG1boQNT6Th4KSo4IweMI1LpOZIYnoFFaEM1RFULIzu9BKk0Q0cUhlBpZBgQOFQIFkmAc+CSf4T26KojeCSUQdeq995RVQcBT1dH3JErtZKDKUFVVF2HrE2qeiZGQojCdc8lzJHmBAM4GvPAJCBEdWBXB3ZR9kOQrZk0GGAQCj3EeZ3MEs+wigl3OWPCe0WjEIvmFVFUVI0n9Mpo4A3F9aauyKDh27NhKBHUmKACm0ynOOSaTCc65jiDa2d2hSGTN1tbWipl6lhcqy5LFYoFPfQshYJq2AwszGNdvrw8WmuQNMp3PmOxPKIuiMxvO2SEZmIyZArbLdsngY8yiUTEjIoFFiiUgKIRiMBx2EeY6ZQ557xACtC4wJpIVZVkuTehT9kEmnSJAGbMSUBJvfMwaCS5uaIKjnS8QEoIzIHya0xHwc2aBtJbhoGS8ucZwNEBpRdO2zOYNs/mcmZnhgiQEibGCECRSlUhVYF2Ux9KFRhCw3uGcSNIzJQGXIjBjVLwuNN5Hcsa2FuUgCa7QmhZClH7Kcysu3JKyqiPpYAxlGbXv27YFEX1iPAsQERg2xhB3nCJdR2BsNCoOKQsA5xJJEMfGtku5nc7s3C1l0vqyQ0LQZRhlkDeSGRIpBVW5zBbpe4b0fWO6jBF8ItcUwWu0TrJJaW5mH5o8v3M/BoNBjOC3lta0tPMIoiolO3AzfjagVLyWCQYlfJTCCo6q1ITgMCpgtcB4g1YFAonUgoX3SO8YFBXaCQZeYydzXnrhMt87f4ldb5FFxfMvfId2ssfaYMyjjxznz56XvPbiOfa+b4sPPvggL+1epqbFzqaEuYOZQXgNRc1Dx46zO11wcbLDtb1d7nv4YR48ez/TvR22rl2B4FGVwgwEu/t7XLpylQ988H3MpnuYZoFUEusMSkfyTxBwtmF9XHP16gVQgd2dK1yZRcJrNp3RLhqccxw/dowjR4/z4gsvcuXqFQpVYhpDoQs80TjaNA2j0QilJGISN12yS+VOc0IJVIgEl/OWgF8Z+2UG0pJU7fstxHkhOkLOe0dwHmTAsyQr4nd1vJKyfCKiyyroE72Z0MvrYZbOzCXPo9y/ZVag7/Ujz03Z9d0YQxBLQifX0z82Y0xHanfZjQc8JvL5GQwGXL9+feVcZZJRKcXly5dRge645vM5Kq3B169fp21bRsMhxhouX75M0zQcOXKEs2fPsphMaduWpjEYs8X6+hpXrlxGa83Zs6exzrK/NyXvDO+//0Fmszm//4f/iWJQoaWK8wrPkc0N1teGDOs6rhfGoBR4b3j11VeYzaZsX7vMYFBQacWDDz3EqK64cvUSL77wYsw0ue8+Thw/DjJQFSVCSoLzKO9xtu1kyuI+IAYuiBR9V5RlPM+hpShj8INEIoOk1BW4gJYpexaFEB7rTKxDBrQswUd5Ta0jGV1WGohPMPWg7MaJlGFaVSWBpa8W0GW/4kDl6DAfr4eYNZgeoKXA+bhHicp+MVNRag/GYuyMopRIFeUbvffdBl1IiXchnnsdpTrrumaeAiLKMt4LgidmugBlWSGI87Coi8M3xe+V98oblR6S00VMvpMRk3tZ7hUI/GYRI3BPgerwbiRH3k3lbSRH7lSK6rC63rYDuZ1mO0DxFr7UBxM7oF9014NIEQ8hBIRPqgNkCe3b6NNtljsmom4K/idi4yChIA68fpN2D+Kf+fN9UD77wGRCJDMIQUZCJKhIjnhNIkTAFwFfJHLkYLbIIWTFYWTOzUrI/9zG9Bcr7eQMkVxRDtpaZowo6dEq+olUylEpsyRGhEenzx1sX9yUubudMb/bCZhmc7ixfzdJUnhbSzee9PYj6XckAQ5m5bw+e3ar2P7q+6t7okySaekYFIb1aoGvSlxVsSiJuIvrInpvTtAdaO0NiapUT7jZhzI5Ig68ebfrVjjQv7ucIysEUK++m2bOHNLs3QYeHJRP/HOTMfLQA09gnGU8GrO3v8ekLTBOsddGrejpPCDbgqKqKAfHmAvDeOMEuhhx5MyQul5nHCAohcVTDYfUdU1Vj5hNZzgbgckrF7bYWUzYnhjmc4suhjStpygGVHVgb3+PjfU1ZgbqwTGm7XXGMtDaFkNgNKoZVkeoS4mWnkEpKaRHCUUhI4BaCI+nRRLw0qAllIWkKgu0FgRnMO0CvEOqgFvssVl6Tp/YjAC4MexfeYVFs2BUCdbrMc4ZglsglOpCAqSExjQEQGqNIALUSoAPBiVj9LcSBRJNlDmKbXocLnhscDFiW9iYIeklokiSKMkMWmuV/CAUEBKQnQAwlSRaEvjUSSglcDwDTlVVLaMzE4BVVTVNa6Mki5RdxoEU8RgLrVBaY+wUKRXOgy5KCJ5Cho4wWQJXPkX6ig7wypkcnXQUtos87gy2nUvE0TK6uS9J1LbRZyUDxBlU65uTZyAmR3HnKGKpVQ+4XpqqSyk7M9+yLONcTfW1bQv1oAPwcvR9379BCIHSmrKqsM52pvCFLjriqW3bLqPl4He76P1EkMybBUqrTtoK6CS6lNKUZcVivkim7zESPZvZRs+TZaR127ZdpggInI3ny+fI4ODRRYE3NpIE3hPSmBSlJuBitlHwkCKPx+MarSXCV4y1wNsW61p2rk+YLua4kOYGBQiBEhIhS4qyiJkgPhmUhyjlZltD4yJp6V30asF7tCo6SS/nHKY1qS6JkJpAzH6SQiZCIYKviJhlFYhatypJjkkZNwMxUj+SMkVRIIsSpSLREeXFoimvSJI1KpTIRGZaHCJdM85HMtFDJJhCnC8RxHXdGCzn8JIYyaDxiqG1XwLg+b1csnRQ3w8nsASipYi+ANlXSPd8dGI/LaQ+SCmjzJOSDFSFkBXWueRVYPEOvItkp1QCrVTMPhABLUHgscESpMSlB8la12gPdhEza5wP1LJkcX2Pi+cuc+X8RV548RV2F6COPsBcNEzbS1TFHo89eoL77t8kiJpHHz/BU989z0vPv8KDH/8IbuG4sn2FzWGJmU+RLsr2OC8p6zVOHjnOVmMZHznFmfvvY2045mg5YuAk165exnmPKCSNb/izZ75HGywPPfwQR06fBR/YnDds7U+xIVANKoxrmLUT9mZbaC0ZDx/BNnMG9QC8RQaPaQPXr13j8qXL7O9PwfmUVRZJa+ej107O2IlZcj3fDJ+kEkMk/YQU0SjeuGz51K0NB307uh0cJD+F7F0TS7yuQreuyUS4FTpmWnlnMCaZvUsZSc8036UQKx5FmWjoZ6z07yv9TJH+Wn3Qf6TLTmNJiGTyre+Nk0m9PjnTb7efNZOJm+y501//cwbKfD5nbTRGq5g1trW9zWAw6HyhAC5cuMD9Dz7A3t5edy9q25YzZ85w+fJlQvCsr2/Stg3D4SCRK6K7bgeDAdvbO7z22gU2jhzl3PlzPP30s/zsz/5l2rbBNHOCt1y/doXrIbCxvsapkyfY3NhIco6WtmlR73uC0aDmyNFNNjc2EBKOHzvOZLqPtwZvPZcvXenIX6WjJFShFLrQ1GUZ12/r49qs4ryKWRKmmzP5+Tl4j0MgifuIbg6oZH0pMtkg4roIuECUeVO5Xo8LHhfiQ7AxWXKt7IIHciBBUQ6pQyAMx/gQ/avyfiRIQfCWQCJ8ZUDiu7i0IAUowfrRo6yn6eYBVdbdGhmDoqO0ofcx4zKk+7qbB4KvKKoapRVtG43gnQfrHFG9K2YITuc3ysK9V94rt1QOPDD+uSr36rDv9el7M8ajD3j/OR3ut6S8xcTCDVkBd1oOgmtv6xw5DMJ9g4/cTtUHfkKIQpWrBu6iv2295+W2x+2mZMjq/2/MErlFUuTAS515evd90SOVUh1ilRCJpAj4Yvnjur8jKRIOGq6vnOR7f7J7O/EuyO/G9wCxmjEiez9KBgrpqZSNJtzKUilLKRyFcEii+XqfWMlH8/Yvtfn83pgtcXs5K29tWaVxxE1ef9MajyMZRG8pCBGvVS1j3dCULbPS4WsQLs793qm+ab3AkjwBVtNBDnz+9TmfNzqEOztT/eyTezQ9+svpymuHFXELn7nd9nv35D93GSMmlAzXjzA3jvHJh5HFgNbD8OyDDDc2OV3VeCFBlQzHazStp2mgbaA1sD+3LIyhtQ1BBtrr1/EBClljTUD46Jcxb1r254K9qWM4PEYII4IPLBaS6Rx0cYwgh+zMrqPbGUJZ5mGCrmG9qglWUEjDoNJUCgpp0HikN+hgKVSMep9MdxFAJaEqLTo4SitRQSGBtVpT6gJCoG0cw6pGWctib5Ie4BcILfE4rBCIJGEUECAjEGa9R1WaokrRnCEgEzGgRFSRD9HwgeAM3gaieb2NkZ3eUyQDa6FdBH5FBCdDiNrbUfpIoLVaZoWIBICECGxkOau+LEo2X+8DbT5kPdHo3UCAQT2kSQRBZ56uojRMUZQUZUljbCex4nzKUkggXN8XI4KEcT4tI0btsn3vEUnbPINjmbAwpiF7MPSBwVxHqZfR731gOQOREAHCqqo6IqM75tSXrBOf+9KXwol9MB2op9VSMquv95+jmq212GR2n6OXi6KgrqpEPiyBylx/Xw4pj0sGrAdy0G2W8mfjb9XNB6ni3SNmHdjUxqoJct8APoOZS4P3eK4EkqaZR6mwxTxCZM7SzCyuKhgOa3wwCAI+GJwBSkkzb5DBsx8c3rRYHz1gNjY2kbrA2oAqapwXNI2ntYEYBOywJnpaaCEIzoE1KDyFkMhO3iwC+Q46bxFvLUJpEKrbfUZJOJkIAsl8PkMoEGrVVLooCryzSDxlVSJElNBaLOaRHCDvLaMBfc5t9j7gvO9kXaxtwDXIlM2SpYYiqVZ38yRGQC89ZPpzJo9nnn8dmMxSfqhPnPUJPCCC6N4RfMw46TwlgliC7zkLQMkoX5OvAZHIEmNwAoQkkR9yxYOmM3C38fhd2qhqLVFaE4TCKhlJ4OAJjUULGIiKshHooHn223/G1//gK7SzhpkxsL6GXDvB1ckMF2acPFpw9tRRNsaB8+efwqgRx8+MqF6G1y6cZ++J93Hs1MNcvXKFMG3QAWRwFGict0jTcvLYUcYnT0JVRy+ZNkoLFutHWBOSS9tX2HJzNtZHVMMR33vuWfabhu//2McZj8cUgw1OnHmIp559nife/zgvvvoKL7/6Imsba+zv7fDquXMcP36S4C1l8jEpdcH+/pSdyS7ex3UK43A+0FoDMmYMSRk6UrLQOvpH+AgkW5uyLYTofEKUjGPlHCACQa6SDZlcW/5/dY5360kXcBMN4IOLWSVaK5AVSuqOTPdpTVBp/bGB6O+Q5pBzboWE7pup9yW4+tJe/TW7T6IopVBi1S8l9z1ew2Jl3eqTLvn+kMtBabF+35xzLBaL7r3ZfE6RSPljx4515OPm5iYIQVVV3HfffZ2B+97eHsc3jmKNYzKZcvr0qZjZ2MxYNHOMMUwmE9bGGywWC5RS7O3t8YlPfpLZfMbXvvY1PvHxj/MXf/xH2d26xny2z3y+H+UITctsssOgjCS8MzZ6zDjP1vUdrly+Sl2XrG+sU9dlzDyzBmsszscsmeAkbWtZtC2NMSyaBikF4/GIjY11hsMo55gfMEVw6cEtE04WhEIqjRRu5TwqkXyxJAihQEbyrpN5kBIlVdx3pDXIBY9pDK1JGZS+ocnZjiGwsJaisRR6AESPHakLClXhnSdIouxXIje8T5KOIZIjLpEWzjq8i3/HjECBM3NA4IPHGosXYJsWYz3eK2bzRZeFZG2cI/P5PGXsOuazhqZpaFtD2zYsUtbre+W9ckflTQQA37HlLkCHw+u7x4DNvcwUWan3nlX7XuGwqFrxNp3je9Du2zw3bp7RFBeouzYW7oHxfXCfWDtChA4XjNHpiSu5y2b75XUP4Y0ausn5WSFD8vEcRoQe+P4Nc7dPrGRSJH9HkB4vkxSZSqSIIvqHqD4JAr4EV4GvQiJFEni8Qoocctz3ZF3ODxOHIc15D0/3W3Sfi0Etnb+I9Gjp0dJRJlJkqE0kR6SllLbzF4m1HyBFQq9Zbhz7O73t3v6pOewbYZmdccjbb+dS0AtbO/DO3fbq9uiCg3SdFJ5KOobaMCkssva4AQgDoemtFTfjFHrvrxLR8Qu3nRXRq+eGr94pr5Er6i18dz0XDmagrLT3OrUfyA66qz2ROEiK3Hpd72pi5JEPf4r19Q10WaGLAcPRBqqokboioJnMFrTGYa1gdrllZ2/C9u4u1oFzGu8VxnssFl0phNbMG8PEWVwokKrEekdLybQMOA2DE6eQosRPGppFi18saE2LN5bSzVgfCeoiUNs9hkqhWVAPKwqp8M6gQ6AQEJzBtQu8bfEiUFcV46KlLBRKQqkMo1qgZKBpZkghKGXNYjLBGotEYa1n2rTY1lFWJZWsCCIQhEQXirouiebNLVKJZD4dP0sCZiJREfBe4IIHbyE4glPgYliAxCGE7UhFGQqUEkjlCFJgEUniRqU64+1GqmUUr0iR5dY6nPdoEpCaQPucpWBM9FVorcEZm0x+s/QPBGsJhcJZj5IaH8A6H4FTCZPZlDJHrBMQkg6UlQnEin4GJSHJhAEdaAXgnKcoSoyJElLjjWGnJZ8Jghj5G0GwLOPSJxWsjZkNGYzukyE5OjtKZpSdVn0mT3wyeK3rmsUiAiDeewaDCNhkE+uDRIJ3HimWmS/99iJpFVdOBSukBERj42juuvRv6eRCXIzKlVpBCMybBVqpLvMk15OByarSPVkcSfBLOS+tC6QSGBPlk5ava2TSa48ZME2S3IqG2sPhCGs8zXyOIqCVoKgK6nqIIEqStG3c5bVG0jQtzbxBCUk1HFJqgWkaCiHQRUEA2sZhvcDMFyhdYl2cS5I4V5QSmGbOYDCIxsRFNE9vmgWkiOWcfuudj+dfqTTvRCICo5688CEZOse5VpS688zwwUfAjeidQQgordPmzSOkQpVxC+a97yTm4qY2dNebEDFbSqkCgsZjkQECLslPld0YEYheEikSezXafhUQ7pMehB5BIpZyQf2o+vjFTAT11hkRyUtvfe9acyvf68sM5XmdybQIGEqEWGarlDqaNHd+EG2TvhM9aAIeoQcUXqKFxBeCRbOgrGrGoWDvmXN859f+kDBrEaMBYn3MfFhyeX+beu0k9508w7GBoZANi4nDmJKdacPR4yc4fuoi0+t7nLt2nu//wPfx9CvfY39/G920qIVhoCyDckyNwc622N/dQdQVSlcxal4oCms5vl7gwxBpBK2WoAvapqXQBYPhiPki3rvOnL2f5555GqE0x06c5NyrrzC5dJnN0RoXLlzm6rVt1sZrjIZDzpw+w87WboxEDx5PlGNzwWO9wzoDzmG8YTQoUUqihErX4VJqTRC6NSXPC6UiIZfni0/pI77LFJFxHnezaflb5u94j5YqrVFxPi8fXGL2T5Y1zCnhfaJDeh+vLaJ0Up8AznX0id6VDKYQVoiQg5+HOJf7WX25xM+vkuCHESh92a88l/M9Jt8LrLVMkin3ZBp9cHQRs0T29vdQMpISo9EIawzBRVD9zOnTXLx4iUWSXRqPx5SV5pVXXmE8HnHixAmcixkqOStlMBjG9dY4nn/ueU6dPMX1rWv8we99kccfeZBBrQnOUMroE7W5eYK10ZCiLBjUA0KArevbbF3bZW9vgvcOpdZp5nO8aRiNh6wfP94drxQC7zzWWUbeMzOGRdviCWilcShQRSdZKRM6oRIxB2B9lMMLImZexHu46jKMEHEkfCCKwnniXPceb4nkRJLhs8ZivcUbh/XRS6cqKwIWvAcp46iGuNcxJmaveedpTfRrygEVzjmMNZjWYqzBuUiORPm+eH9uF20kaa2ncQacxziHNVH6SypJcAEXBK2JT0j9LNalBFzMpPIurvd5n5E9394r75XbLgeBqHuF3txpeSsRmbsGkt+czt7cA+Auy82qfY8suaOS4dD+r7esiJv+5x7U99aXN5Z5yy4Bd1gyIZJJkdxmb/giFijS7xwh+Q6J/M9ETq/cSMqRngPFDa8dPIKDclvhYB29DBFgxVQ9ZoiIXoaIwOlEhpQCX4GrQiRGSqKkVieh9TrHd0MvX6ccGJQ+3XO73MpBnFoKlhJaMpqt19Iy0IahahgmYkQLhxI+ESm5xdCtC51TzQHQW3StLnt8K7fYFNZ8D+ejWJIjK725Zw3cYXk7Gr9Jm8tlABFAC0cpDbqwUHnsEGQDfharCK8zxbvqBB3pumy7t7bd6n6r11Aex3s2dgf3fXezB7xpf96go/dqGmRSRK6+dqvlXU2MHD37KKPhGru7+2xvz5i9do5C1+zuThkMxkwnc0TS3w8eiqrCO4MUmuCIoGmhqYdjVK2ZmYZBPWbWSK7uLjDGRbNeAUYaUAEb9qLpjrIUcoEQMwZlYEOXDIqGE2s1lbAUynBkPARnkSJGvheFQiuBdW2MUPAFzkZwsKo0IUiqokRLkKGhme4y25+nCFnBbHcP56DQJQhP4zw+gNIi6ukXCiFBKIWQAW8aILLbEonzBmsNzjUdmFkWkSTxidoPSYooREw2ApYySVf4AGgkZZK/iMbBUooEXsRoexnR36UHQFLRigba0SfE+mg4nAG4TCC0bTROjVkuErzHObDek0M7mraNMjWJDPCJTCDEKHEfMrDgkkZ4BKUWi0UPxNVdNgssiZEQAqPRGCEkQlTJ3yN0kkEdoCajLvjBKGWg044PziOL1eyLLIcFUJZR8zwTN9baBBRG+Zgso5LbnE6nndF7XddIKVksFh0oTQCV5L8yodL5PwhWAOg+uJ3BPOej30s8IfFHCEmZiBWIMmhF/k5PRmbp97DMKmnbtrsrLDNOVAI5FSFEUmmZ/bKUUBuPh7RtkwDWQFUVmHYGtmF9Y8SRIxsMBxV7+zvMJvtM5y2mbWmMZWP9CEdPnUbKoot435vuRdJDKISNILu3IWn5VzgvMcbSNAYhbJdBgVYorTC2pVARjFuYBh00UkkKHbN9nPdYGyOHdZxQETAVIUkJZfm4gPeGslRIrSL5IwVCRSBRyqKTG/PeddsnITRS606GLkfgS6EIUuIFCGeX10Im/GTM8BBSIKVOY58yO4QEEbptHSwzg0JYAsb9H5cIoPxe34tmGZ2fyJvkLdIHhiM6vgSQc+mD2H0PiI5oSZJgsT2ZsqQCzSJK3i29dypCqAAXgUfnsWZOYI4WAl9IikqzP5txbHSM3/6N3+HV85fZOHGazYceY3zqKMWp45x1Uaptsy44Ute0iwWyKDgyrNGDki999Q/xRuBl4PmLr/DB7/8Yp973fs49/V02jhyj3dpiPpmhbEPZTpDBMvD7YOboUCYpMY0YFlTDgtaV2Ill/fQZXr1yBe081y5c5KnvfJumMTz51a8xXBvzyEOPsHVtm/UjGzx4/2Ns72wzHg6YTSa0pkHKAoECodibTNibTmJmoI9yQjFaikgYOwdCMBoNqaoS09hIwJdFj8xaPpstSQKBlEuCI7gl0ZA/0hEEEGUPhVjZl3jvIZHpIQR8Wv/zT74npMoScbKsIc8T7z2qiNdqXi8zGZDX+/4a35/TB9fApSdO6NbyTC4DnQxjd/2kuXkw8/EwkqRPHua1Pr+nlKKsozn7dDbDGMP6xkZHjCwWi0jOupjBVlc1x48d46mnnuL0iVOJWNnvzONlA+vr60wmE7TWzKYLiqJgfX2T+ewKW9e3efyJx/nA4+/nme89xbf+9El+8Rf/JvPZHt4uWBvVlIWiKguqMsvzeTZGQx5+4MEY8IDAOosMyV+D5AOVsklBUGrJUI+w1jGUMYsjZrNFiVJrfNxfeYjeSpGwi/eCmA1pXIv1BmNMzMTwOSvD0xqDsTGjbd62NE1DY6LfirOJKHEh7nlsJEsDAmsNhJB8deJ4KK3xztE0lpA0JXJ2h7VxXQ0i7hld8rvKD6sip7olOc+MuCwl2gJlWXTzA0qEk7RNgwsBXVQkrbgI0OgIUggS6SgkPrk8OgLWOYx/z3z9vXIXpU+K9B+I+wjTW0GO3C6idU/avBeg8r3r8KFg55texFvc3n+G5c0is96w3XtTTUfyvN3z4Gbtp+f911uGVoHF1ej91WPLG9+EUOYS7dVuvh4e0qU7Kv36b/qZm5yIvP8++OIhBEdHsB6sauUzvfbEErjt3hNiabKejdUzKaJFzA7R4IpEiJQsf5fRcN3rcPNMkT5h8AZzLz7nHnIoOUp3pa7Q+0D+8/ATng8zHmrMFJEySieVylJrQ60NA9kyyNkiIhIjEn8D0bFKkCw7sRz2VTP0FYL15kfffeuNbse3dgkf9qnlhO/i2m673jsvN5I097q8EWXxOu+nC0WKgBYepTyh9Lg6RPIvb/fFG9QUVqpbri8ie6i8QTdvWm8Ojr2LOg72s3vWv9v67vTL93DG9de52yzvamLkW995kboeIpWmqmuCGtA4jxyPaZXCDQvqYYqyb1sm1tDqktYBRhGMY1RqpnbK1ZcvoAvF8VMPMBqucW1nwWQ6Q5SK9fUhpwvJeqUZDS2lFtRlgfAB5QW19kg7Z73S+MUuvpnRTvZRrmIRJKoeMN83LBZzRuMhValZzGaE4KnKkkJFg+C2aZjZKM1T6BKJwvsa55J8RKER2lMNoveGVCCkRCtJEIHhsKKdzZlPp2A9QUTfjlKXUfbJOUqtCF6gVYxa1apID/GKEKIhKULgCTiivAXCYUITpYJCwAuNCAJnDD64Th7ImAXW2C6zwTmP1hEQMMagpMa5CIpoLZDBo5SkbQ0y+WbM5wtaYyKFn0Ao53wC3hKoFeJCMG+bDnwwJpJN1meD23g9KB2zUZq2jcJDCUAzxjKoh5Rl2Wm/Z3JDqQjSAEnLvYnmrqVCFWUCzWLmQdu02F4EMjJAkpHJ2SBZxgiW8j8hBNbX15lOpzRNw3A47HwfRNL539ra6gDf4TBmrfRNhnPmSpbJkkKipcSH0JlYZ/BOZxPZsJTMyhHNmdg5GEXdj77Oht/9Y8pAdf5sBgettbHfIpJSMUK6wHeSSlEyqjVtB2auRm47miZKqvkQwbK2XXDsyAbV0TXadsbWtUu8Np/gvUES2DhyhPvP3s/u7pSmdVy5fAXTBkajdSwgipKgBN4LgovZHE5a5os2XhdlJLkG9SBNvRjNK5TG+gBSYUMCQYUEpeN1IiTT1qRsogjq6lJHTfjgESEgcF1mhxQQzeFVlJ/Bo5SG9JnoUdIiBWgNhS5wIWBcb5MVsv9IlpfxyKKIKc8hZq+EEFApNVImCaSlCbVG6ujjYn0EDPNciOPQk7Lzy+yOnPER50NIgdarN504B1Yj8/sAcb6L56wEqZbAdPRhsFhnkFLFrIHkTaC0iqSPDwQfUCL+DiIaIi8WLdmjIl4zJUHH9ctZhwsW4y2L+QL2PE88+Ci/8dtf5DuLbc7+1Gc4cd/D+GoIZc1CFizMlKNrQ4wxXJlY0AOMCRxT6zz71Ev81v/6VU6ePEa9fpzzl3Z57uJVnvjQD/DFP/o69oFNhidq1o4HRgTsZJf53h5aOupCobXnxPET1KMx89YyayxDpRh4RTn3jINGLVp2Fzvsrg1oW8sv/PzP8vQzz7B9bYdROWK227BWH+GR+46ztjHk8tXLTKdTdnZ3WRtvsmgse/tTjIvAu/OWIFlGzztLNKVegvmZkCrLkrYxyACuN64+rU05q6JPesUS1+oVOb4V745VYqOfJdT/+2AGxnIfuZxHXWbeAdmsvmRWzszrSN0eaZHfyyXP+/isKG5YB3P/pIx+G7m9vuF6lqc77Dj69eS1tH8uMtk9n88pioLr16+zPl7rpBattVy6dInjx4+zff06H/3Yx3DGcP3aFo888ghXrsJ4POLKlcs4bzqPrN3d3UTelnzwgx9kf3+CaQ3ffPIbPPrIQ4wGQ77yR1/i53/mp/nIh97HYrZHWQhEkrLDxww2EQISh/WGaRMDE6qqBJUz3kR3Dx4OhwghaBdNJCGQBONorSEgKKuaeTvnwmsXuHz1Oi+9/Co7u1OMEzGb10ucF+me5OI6l4heKSRCgE9awFLpKPGWbvgxAy9mLy39jBSgU9AHhBDX553pAmsMQkJVlqhEggkVZbgCAe8EISRZRCkwPpIrIgWLCBGDQGLGSNwPSVK2bLompBDsTacYa1MmokYr3V1vi7bBp2sse+0gYtahy9klPWLZBYfxLe+V98odlYNA1cGH4MNee6v686a3deeNLQHEN6HDbylBtNrIe7lnt1veJjLhHrbZB8Pf1vJ6fbgFcrbbeabPLknGA6C/CL1skR6onj1G+n/fa1LkVsrrrEs3tJvJot6acQMR1CdC8v+718RK5gz0CBFBL0ukR4poOnN1V6QskSSd5arkJ1IksPgGUiQcaP/WciWWz5HdYb/eWTmkxHZFjwjLCg9CRMA7ymfF50mdZJMG2jLULUMdSZFaGUph0MJFgJyATGTFQeKlT2EcHNE3pjdudhSv/727u11nQicj4gdaFctP3euSx/XN9RC5kzOznKyZAJMiIFSAIkSpOC06j5GOvLvZEPXfO0iOkM7xjZzeLXRTdCcx13FPuIy3cu/3FpXAKoH8RuVdTYwMN+9DVwMgsPBJckHEiOnGGIKU7M8mMRK/LGmDxziPdTAeDEBZpGp54dmn+K3f+A+sr434zGf/Ig899n2MB5a1jRGDtRF1ITiK4VSt8L7B2TnaBySGqgbTTJjtbdMqhfSGSmuGgyg1pZUmlKAFlKqkLKKPx9qopiqi2bgzMUK9UpL5rMEYQ3DghECpCqlI4CWUpSbgado5w7omBIcXUfZha3uf0DoUkqJUMUNDkHTks6l1BAeEECzmLc4siFkBNUpohHJR7geFUimyX8QoTx8CAovQUWc+2i5YFvOGwWAQpTNsBFRmswWLRcOJE8c7wMhLotZ3ilSWIQJE1jk0AlobSQKlknyTjABp8uqAZAydFpEMgEUAP8m5pBVGqiX4tba2xnQ6RQQ6rfXoUyC6aN8Mzg4Gg07WSkpFWRZUVcmimeOMI6iQJDUChV5GgWaCIZMIWXajM25Nu7Y+AL23t0dRFAwGEYAdDAaEEGiNoR7UnDp1it3d3c5nRGvNfD5fkevqy8RILWiN6SS6IGalKBWzHpq27aRclnr3PhFP6fYkRRcNq3UGIiNNprRASIfziRCTGpFknYRQKfq5IAQXSRFFMnD2WNdGYEo4nIf5/iRF9ydgHsF0usfe3i4bG+uMRiNG4wFKRc+Byd4eezt7BDPHuwbnLEePbbC5uYkQAtN6trb3mM1bynJEPSgJoaUoK9qmxbSOeWviXC+iT4+SBeO1DZp5C/iUqREpigj4B1rTEhAMhtGXo1k0uCBYtPHcDwuBLjRFj7ByLgKFQoJI0mBZlihmIkVJLWeTv4eKZBZSoLwEXaEVIDw+facsNaiCShfRmLkcEIjZTNEHpMG2C/B1JEogyt0lWaPs+dN58gix3Luma2gV6CWN/arcUN4J5OtFiaQ/m0iKnJ0l8zGnKPl8r/UhYOxyqxcSwCyERMvoJ2CsIThHaxzCBlQrUEWB1kUilwS6LCERgspKCqkwbYw2t+l6UwEqpRhqhZESVUjq9XVKWfCtp57lyrThfZ/9LMMjxzFBs7W1z2xvm4V1mHbBuZ1L1Lqg0ENs6ut3p9/hd/7jb3JqfJQwd+ihRAvNt7/9HR5/+IOsn3iA3/rSV3jwvtOcWR/z0NFNTp0+y/p4xO7VKwyGA44dO8ra+gbFYIidzNjfv8TxM/dz8qE1po3l5EMPcfTsab789a/RzOZ89OPfz4/+6I/w03/5p/n7/93/ja3rO5w98xAnjp/h/vsfYGb2sS7w9Pf+E0IILqkrzGYLptN5JNYSWVyogiaacyCFjHPbJdLWB4oibgfm81kkTAqNcskfhOUmLM4LovxWzgaSImWtOnKmkBAC4Vw0zxaRBIvXAWiluzmS18/gXUfQqh7RsfQqYiWTI4ToK5N9lqqqIoTAbDaLAQFlSdM0HXGSr8PlMYSuzjjPY2CAEKRsLp+kFn0iPYvU7pLMidKHS1+evhdVPwsq5PkewvJeoRTWtOAlwpguIyHfC1pr2N+6TpE+f/ToUXZ3dpAi8Ntf+C0efvgR9id7TKb7nD59mitXLvPEE0/wwvPPsbO9zelTp3DW0baW/f09dna2U3STZzKZsbm5yac//Wm+9tUv8+/+3b/nxC/9n1DCImmpq5KiVDGLDQhBxOyMYFFaoIXC+ygjFe+BicQ2BmPbuHYuTCcjGckAgQvRW8M6S1mUKFUyXxj2pw1elAhV4inxUuFFnGia1X16zHbLD1Qxi88HR/ASE5bjKZUAF3BYhBN46dGoaJKOQkiNqmpMu+D63pxCKsphTVFKgrXkJwQB8Z7nfbzPEeLexMm4jqVx1goIAuMdGLeyF2iaKMtZliWlkLhgsNajdcDh4j6LEEkPG++pOUtXIruHlUjWeGx4L2PkvXIXZQVlCstfb+cD8VsQgR/uVTv3uqsJsH3LSIqb9f/tyoJ4N5e38JTds/mby9t6vb9BJ25Jo6b352HnpU8a9CvL0doirDRzS0vg3Zyzw757k/FcIS/yfucgGZKJHtE7HZnkuFld3f9XUe8g6DxEOi8RJTpCxOuUFVIkUqQEV6bo+QKCDEk+i6WE1oF2b6mssF39F97ga4nYOix6XohVUiT/raRHSU8hPYW2VNoyUC3DomWoDANtqIWlkJEUkfhEtGRvktc/jiWxcCf0xfL434g8yCJe/W/dXjsHz7FYYla8eQTJzQzX36oS0j8H6a2uxCmVyFNP0AFferyWHXGYpsPNgffXCTwRB96/rft/yJgM3Vp51/uH25ii746dwgES+RbLu5oYudIKSiRCAkLhE6hinMXZHCVaEkKBaTxKFpRBsFGVKG8Y1pLNUcng0bNc/uDDrK2v8ZEPPMgnP/1hZFlSDhXWC3zTYi6dZ//CK+xsXcfZluGwYn19jGwcrl1wZG0AHpSKGSA+BIRUVErjfIiZC4MaCMznc1rncMloPD88CwRFWVLWkQgoCk2hi2hgnI3Ug8daEzM35hatZReFX6oS9DIaNxrWelAygYpRYz5KQGmwFqU8ZVVRFlXy/5C0NkkqSUFjW7TWDKqNGN24WFCXBUeOHOHc+VcYj9Y74qMoFErGDIbhQDMariGFxjpLoasIJhWyA7AC0Zy0DAGpCrz3jNcLymRsneWYyrLo5Eh0GSWqkIIQllHHzi2BLiFEMu6NEZdXr1yPHh112WVSKKXieZOBwbDCB4vzFqwH4VFa45xlf3+OlDFq1/sooaFkQfBZ9gqm0+mKRNZwOGQ2m8UMEx1JniwZlReytm1BRqBISgFSMW9ilG9ZRfmUnCnSlyLKmRlxfkRiJv+/TYCU0CCL2I4qZPTraCOplL9fFFUCZjRSaLyNcjYEQSCa1QYXwSUXYnR5VWlas8A5gwueQbmGCBprY+S5UsmXQGlaF4El56NsiZQBpWDRzhgOxpTlkGbR0DZzylKjhOTs6ZM88tBZppMdgnc0+9dBeKxtESGwubmG9wVFUVFVZYq2bZlOW2ZzQ9tCUQyZNckAuaqY2AXGW6QeMEzyY0spHaJ0SzA476jKkmwaL7InjDWd1FnbtpRas7G2liK+PVrFhTdHN2sh8VrECP2QjKqTaW9ut23bGGUtFAKBNx6EIKqlCAoVyciQiEBjWibTXcpqDYnmUx//JMZ6glAY61L7lmY+4cd/7EcwiwkXX3uZuiiZL6aRYLEOmzLPyrJEqyzdspTCWmaGSLJ5di5LyawULS0E1kRzZHzAO3DBxsyrYFGFil5IUtAYgyoLggsIpZC1ihknQUZyTaVsNWfxGKqijNeXCJSFwLYN8/mcxrSoJB1mlUMojREW4QxVqKi1xKmSefAQAnbaULcBpQu8EjRo5kLyzRdf4rWXL2B8ibk6Y/eF77J1fYvpfIEPnslsxnBQcnR9hC5Krl15mVFVM6hKCm/5ix99jBdeeB65kLA358hgxPUXX+bSa6/yYz/2Wf7gD7/I1a1dLl67ylPnFGc3NvnA6dNsrJ/FS8W5qwsWVy/SSri6t821rW3GG0d55AMf5q/94t/EG8eLL77I8ORp/vSbT9I4x/OvvkJjWt7/8e/jofsfZT6xnD5+H0ePHEPVZ3j40Uc4e/YMF157lQuvnsdbS6EE+IAKklpXNK0BHwmO4APSx+jzI5sbSxN7H69brRWtbfHGd9cKcik3GMnVSCSEIJAiybQJkmxbJg1AyegZIqWktQsKpcBHUrDUKmbKJX+qvD7ln6Ioorl1CssJKZPQJl8ToSSKuD7mLIm8Lrdt7H/wIRoraZmCbKJUpPcxo1Ak6UeIUn8IEX2rUkaYEIrGWmSInl8iRKLHuWhQ3xob51gir7vrKYHbLpGFWbTOJcNvERyqLJFKUg0GTKYTjh09Fs21zQIdNIPRAAEY13L1+hWK8gxlqdk4usG3v/ttHn3oYXZ2tjhz6iTDesBLz7/EieOnqKqKq5cvcfLECdrWsL29w9VrO3zw+z7Id596CiECT37zSR5/7DHGa0f4zre+xwvPn+MjH34C1+aMnIB1LYR4DpAS6VV6kIjSfCEsM3KUVMiioGla2rS3KVSB0gVBQEuI8wXBYLCGYIAPJSGUPPXMC1y5vgeqwLYeJyQhSV2GRFJ3mXJEb5lIiNi4VpGzQegeEHwAqUX3YCNlBh6XSIgAiqoELfHW0ZoW5yOB0SfU4jWRMpC8j1mFad+T78V9ebSlRFvcexVFvXyISZ+RchkyFnxID88CRbyXBhEQKs2bdM0CFLIgyCXB9155r9xWSdlVwDLc8SAI+VY/9XYg3ZvT8D0hHA527Z51NVZ020as97q83rl/u/v2ji9v8gm6F6DXIXWu/H4ri+j+ubHcDBi/Ebt93dc7DxPRz5BYXftWjdZv0s7rHUP/EMKB32/03RvQ+wNVif4xpNdTVscqMUJ3TN1rB+s/hFBZkfbJcujZS0RHQsTr5CeSzNV9GbNDspyW1yH5iURiJJIi/T68FVRvIrm6f8ONY9rrR/YHkclsvZCeUi+N1odFy0i1DFRLLQyltJTZW+QNjkl0LSS3kdBfVu/0Qnv974V0xKJr+U7JkdVau/sSh5NN97a8WZW/Xr2ie5YJLOXDb7wQU5GACggdQAdQ6Xk0hCy+cGO52XkTb/D+G5Xec043NvfiUvvP5D6/ShL3/r7F8q4mRhaLOUgV09pETIerlMQuZoxLTVVopCDJUZSUhUZJyaDWDAuJcA06WB479QCf+OD/kaMnjnF1a5vS7WBngd2dFqUL7GKG27nEsLAMT6wTDTqXchPDuugyMrz3tD4uTpIA1hJ8oGkaJvu2iybta5dHw+qqMy6Nsz1G6VubpUmSP0MAqTV1WSaDU0eRQFyJwCVD8ej1odA9I+zoUK46A9yiKJBVJBccMfMkpJskcgnix0hYj1IxI2C+mGGutskTxCCIwIlSCoejWRiGw5gFcRCs6oMbpMUomjRH4NgYQ9M0XfZE378jhAAuSnLkKNoglvrwWkUywycSRYooGVaVFVorjGkTKCXJkkIQQbK6HmCtoSyitJaxhqIoI0DYmI686puMR0ku043hcDgkhEBVValvvvPtyPJT2RS9KIoE/sUzkeuMQAwrhu45y+Sgjn3/R8oo/6GSb0Xsr4u3y5C1zZcSWn3QJ3pCuDg9dAQJYyRwwIWA9wKtC9rWIWSU0iokgMbagHNA8CyalqKoEAQWi3kc06Q7H0QgSIGZOWZmhjPRnL4sCwohYtTu1V2kFFSlpqorgncMhzXV+jhmYzhLM29oWtjfX2Ctx7pIkCEGlOUA66NXig8K6UHpknqQdmp589jLggDQhSaYgLGW8XgMECVtkrwW0MmcTafTzgchj4lLBtEqGcjjY9x8WZYoZE/aLcrrFEUZyU4X/RGyxJSSConEu4B1No6JiNHJ9WAAQmGNY7EwNK1DSA1CIrUGHxgOh4yGA3YWe+zv7SHGQ7TWNO08yZ5FSSqE6Azcg/cE0fPygAR2skLk9X0ZIqHkqKoKSN4LkiivF2z0S7CWEARFOYiSMEFQ6JLJfIEJPZ8BO0MgUaqgKiTj0YCy0ATXYMwMbzyl0gyHI7xPGQLe0TYtvoW6LKiqeC1pFSO9N+sBfmEYlCP83pztVy/zyvY1LrmG16YTrmzv0s4Mi8mM2d4E0zacOHaMT37fY5w+e4qnn3ua86+e4yd+9Mc4PVrn3Le+h9mZILynXCt57AOf5st/PGR3Z5e6HHJld0YzMTz1Z9/g5//L/4of+aEf5ou/9/vc99iDtNZwbmuf/anhSDXg/lMn2Vg/wuVrV7i+t4OXIMabvHJtmyd/4zd46do1/pv/+m9y6r4z/PXHH+PTf+GH+O4zT1OUA2Q54m/8l3+LjbVNFIp22kR/DwnGGu47e4pnn13n1XMv0yzmaKnI8lXOepxJgQPWEIjX/JmTp9Bps58BaKUUtsvkUDgfYhZO9q3p3RcymZavqb7nTN+HQ0pJ8A4JybfJda8fzOSI8oVtl8HkfcATunVvFbCma6svByil7I69k9fyq7vH/pzPOygh8lNdlLgTSSKqruuYzZGkLrXWONNE0lcIZrMZQkZS0zufohFzffH69imLQSZg0jmPsdFD6ZFHHoErgr3JPmvjMW0bM130aISWS5lCpaKfTtMsOHnyOG27ADzPPfccRzaPQhBcvXIVpQRlWbO/u0dZV5y97wwvvvQSk+kew9GArWaOswbnBd/34Y/yza9/jd/9vT/gicceYjQcYO2c2XwW5bJIa6rPmXTLIIR4zvo/UNeKsqyW45v2FwKit04okKKgUIFC1+iiQpcV3/nus7x88QqD4SYmSBobvTlCIiPiA32SBRTxgS1WGlYjsGIH4/wQIBAEGbr+ZTm+br4qSSELvFJd4Mnu7m63H8vZR85ZlIrj6X32jIlz0pi2n1B1wz2mL6t28PfBz+VrS4hIQq888IR03O/xIu+VOywrz88dKfIOeCLuXwdvWhv3rp4bDI/vVXknjMV75XXLDdfQW1nuZXNvx1w7SCj0y6EXvlj+Cod84KbAo+i1JQ78P7fXf+2G0PGb9/HQ/r9BP2/S4RU8NhMgckmCdH9DIh0OzyyLErAHqj/k745sST4iXRtS4GUmQ24kRFY9RCCoENUCZP6djyHcfHwPlJVbz8G+3wpofAufyXEAmRARApTwyWg9UCgXSZHCMNQNQ9UylC0Daah7pEj0FkkSWr2l//Dmb45UB27yllj5dRtlSWD0W767K/vAHE3kyCqRePsl9P54KyizNz4Ty2vpsP70Za6CAFQmRUIkAsUbnJA3WOeyet9tlwP9Enc7MLdT0gR+a8bv5uUND7f/6HSb5+ZdTYysl5a1ylIWOoKphaIqBISCulAUMoC3CDwCh3UNC2uwsxYrPME0tLbF7EbD4O0rL9Jay87VAUWSanHOU2pFgaWqSkQA7yPZYW2SSXIO5x1KxmyEbHTtQ5RBqOqK4XDYGbDCKmjUl5wBVkHrpNkeUrRlzoqJIFH0X8jfCwl8lYcQG32A3aX+ljoCv1le5/VKBqly5oQxkfxomxYhVA9kDx3on7+Xga9+H5RSNE2zJIPSOcmG5ge/n6MyvfdoqzspFe9956kQhI/kAD0gIkSz9+gKInE2xGjLkDYRIfolzGdRYmtnuteROI1rk+zJkszKAHkmbKLhc8xw0Vp3ZBBAa2zXd2NMR+445zrvkL6+fj4/3kefk0y+5M/0gch8bqAPVEZfiUJHTXqX5oyUugPxrXVoXSxluLwnBIcnkSiZ0kt3QaU0IUTd9hAUWkW/Gm8djXMR1JYxO0AIRdMsCD56y+QMlEE9pJk16KJkvRwALXroUjQymGYRyT1V40OgqgaUZUVZDFBKsb23g3cuRd+OISi8V2RJIBfiHG8MBBFQOmVteYGIu0p8aChK1WU3ZQCq80NJ53pvb6+LiHfOdbJq+ToqiqIb//zdoliaVXfeCUFG4s1lkiFJ2bmYRaF1iQsWKRTWxf54XJTV8ok8FBkoS3M/CFSQy2shiKhNHwIecMZiXcyQqOqaoirwLplaFzpGeAvR1S/j5On6nK+n3OZhwJ1Ihu0IsTyPQmC9QRYaj2fetFjnWVvfxDrBlatb7O7NuXJ5i529GfPGsGgarPXRW6goUFpRlZpjR9c4deIIZ84cZ2O8CaGlNQtE8CglEEWg0JLCOWzTIhcBKw2tAG0dI1nAlW1mF65y8fJVXnzuHDv7C6Z1yZb2XJ1P2N7dRYXAfafP8qmPfYqXX3yOUVXy4cdPMygV9RNn2Lv8HE9/44849dFPccy3zKZ74DxbW3s8s3uZM3WJCh45nSF1waQuuHT5FV5+7SU+95M/TbOz4NLVK1FOj8CF2Zxze/u8MNvnF//W32I8fYSH25aTJ46hlWbazHnyG9/kt37zN/jBj3+Cn/vZn2Fvb5/7zj6Ao+DC5WvoekChxkymhiuXXuFLf/hFrl+7ineRqDp+7Ahb16/ibUNOgvDeAavkcvQXcWitOHbsWLf2OBeJ3CiFFslq76JM0cGS17E8P1bl1mLpS0rFL9GRirnke1+fGOl/J89H32VMLjMH+u32SeL8PZkNrTMZn7uRPpPli0IIy2dn8oNaNOkeDgZUKt5rHnjwfp577jmObh6hHtRcvXYNZ1tM22CdYVAO4j2aKIkVb8PLtZ2EQUZj7RjokKmZS5cusbm5ybVr17pzl+8l60eOdveWixcv8vDDDyGEYD6fo+oBo+GIc6+8ymi0xmhtnB7KHVVV8tpr55Fa8sEPvJ+v/vFXef655/jhH/1Rvvq1P8EYxYuvvEJd1xw7cYInn3ySr3/iw/zAJz8CtKmNBWVRpUALjQ/xftsfq/649wmyPA6EGEkoOxIlajTLQsaMXhHweKx7FFUWvHZ5C2cDhSggEbQkfilyIXltCiBirFyeG/0+9Mncfh/77x1W8po+m82YzWbduh7nl+vGJx9f30epP7/y67mvh5Ejh83hw+rov5b3Ne+V98qdliWtyZIceTtLP+L5TWuDewYehFzfvS7vRE7kndint6m8aeN+K+WeEiLpn3fi2B7Wp27BuoW1Kh2bOAQYC7379PJ5d/le50exjLW4eTnYjdyvjL7frJ+9SjtiIqHtIZucKxElq3Ty+EjEBQng7/ZCvvcTuHnker+bHfmyJEdim7ld8KWIUlnJVD0Uy+wQUnZIR4rkdfXg+poZhBtOVP+1TOaEjpu6KdH1+kxEOqjl+3kY+nXkLBElPYVKRuvKMtSGkW4Y6aXZeiEtKpmty5xlkn7fVbkZKXDX8Ql9wmxJktybko3CD2ZZ3WbpLq934sKzLCH/BPAJQQbi9Sc9UQaEJCOe1o3b2bz0yMBOpux2Nz8H67h1PvLuSvewvFwr347yRuvz3dyr39XEyGOnK4Z1gVaCQsvOGCl4i233CdagYpIU3lmwLYNKg4ZSCoLwFHXMJHHOYz0Mjx4BqZIxtMVah/QGvKcVYJq2IxWkTFkXKgLRSkZZjkCMQo8GzAGdzLSl0BBi1HOMPIzR+nHNDwn8TcR7ullIlTJFZHqIDn0gQqC0RvfkRzJNJoLAB3A+ReZmkMqH6CHhwbuAw9O2BussWi8f9vvgQT+yNktkZEmgpm0RyBVwtaqqFUA/15nLzTIf+pklWUoKVsGWpYzLEkzrgxLZi2OFOOlpv/ePr9MGT21mv5Isi9EHJDKRkIHxPlkjpWR/f39pgt7LADLGrJAnxmQiS3RkWJ84imUJ2udj7LT30+f7x51BygBRoomIigqlOnImBXtjnUMqHVuQkWiDqHdPCNggY8aDA/DRMcB7pBCURRGzCVKftNbMZ000w06ApxISWUQT+EU7p2nmDLSmVJ5COZxrac2MYD260GxsbKTgV4GxFo9ASMls2qRslRbrC4piCCFgnMA7AUEjRYlQGoEn+BYhA0FYWtPg2wYhFEoUSC8IwYBYSvQste9XZXgy4ZF/57mR51Ae/zyW/fHpz2mp47Uu08p8UGZlGQEeAdDYVpnA6Uyy0IHVQXiEjPEqMUMjSvQFEX0+hFRYa9C6JBBNr13yd1Faxxs4IkVfC0TS5pd5XekBiPk4Dot47rKYpMS5sJRNkikbTRY01jBeP8qly9t869tP89qrV5lMotSZLCsQcZ0UQqV5bFDKoVTLzu6ci5ev8+qFyzz80H08/OAZqtEIZxqE8hDifB4IRSkF3nna4OJGfX/Oc09+gwvf/B7TrR0WwWB0hR2sszOb8ur+dUZra2wWFZUUPPHQWTaPj7Gc5pVnnmH30jmqwZDm1XM8qCSzrStMLp9noGEaZhRKsiYCzdVrOCTrC4t1Ajkq2axrLuxs89R3vs1Pf/Zn+IX/6r9ge3ubP/rqlzl3+SLD40cYbYzZWF/j/PVtzmxs8qEPfJiN8YgjR9c5fd8p/vLnfpbzL7/Cv/5Xv8qxI0fY3Nhkf9ZQj9Z55ZXXuLazy8MPP4rQ8M1vfI2vf+NJrGkY1yOOHT3KZH8HKTzGtpRFkTLH4hbPOIsLjkSxo7XiyOYaVV3j0ty0rUGkOal8llOK9yclI8ngknTSYaRIl6lxgOjoiAwlY2RL7zrJ5FomfnM2Wz+rLZf+et8n/fs/fcDZC59I0WRqnXZS8RqMEobO9yLAeqFrQogkY+nRSscggLZlOBxy/PhxHnzwQb7xzW+wF8AYQ+FVWqPj90Oq00dmpiObchZDIAcxyI7kqOuauq7jWhFC8mAKLBYLqqpiMBgwn8+4fn2L48ePY4yl3hxQlBWf+OSnUFKxt7cbfZBcXK/uu+8+rm9f5+FHHuInf+LH+df/+t9y9cplxmtrXLx4mUGtuHT1Kh98/FG++eTX+N3f/wM+/omPpP2NQiuBNYYQwHmLUMu14iCxn8cscxYZmVBKLh+DAx25gIjZq4Nase5L7KmNeO/QkpdfvYS1UYosG61DP2MlEcJhNTMjVbwy93Lf+qW/1uX/x+MSHYmotaaua6bTKbPZjPX1tRQo4FeCXPI8FGI1W6rfxs3+Puz//ZLbOUjkvN533ivvldsud4323OPypnXn7sHglSvvzThv77ChAN558+OdUN42guQeNdwDmt8xd5ObkCIr+PqtHH8iG/reGiEj7+KQA+6A/Z4UU7jxI12XMir3eieuf78+pH9dH2WPEClElGIuZczSSORI9jNAkHw9e4SIi7+lA5IHaweydsEkvb73iJHOaF2xlM5KpEjnI1IluawMTKXskJAzQw4SFocRJIeVPrJ5U5Tz9mfmjbvBLJ0ViRElAlouSZGBNgx1lM8aqpgpUklLITxKhM6k/eaHIVjuUPt9iBMkHDi20H1uZVS6OXeYpOKtX/HL+RtWXr2bshykBEvelexjuGHCvJnldtpIklrEc5cJER/ST48cyaRIkCAkBJ9G/OC+/GZrVUeisuQXbndr0p9sb8jivgnlzTKeecN2V+m/g80futbeZnlXEyO126X2huA8fuEwBIKQlFWBcAYhIikRfJTzKSuNLDWBQCFlnNg+Rh5b40Fq9rf3k+Z9oF00DOoKawy6UOiiQCVAp0jGs1prmqZB6Pjgap3DZikNKSFJ7ehEYESQyK3IkhRa3RDZGGPAwypAGaJGP2SQKKyYJkMEe3KEbcyiSBHs3QUo0gN8nF/WuujP4WMkeYwy9l0bGZzKpMJ0Ou3MY7MsFGGVAFksFjeQC31iI8tS5cyQDJDlh/8MSvTBsly39566rrs+ZgCiL6PSEQUhrAB0ByM7++B0zgTJ73d64onoWSwWzOfzjgzp9zVnuhTFqj+KEDJKsPT08zMQHs/JkvjpZ9REwiweRz/qOoPyfcKnD0oppUBkKalIktmcfZRJFSmjrJKSnTm8UgVSFx04GCOokxE3CcR0ltY4rG0pCo01JmaZiEBZV4wGI5SUOG+jRFLbUJUS4QLtfJdCw/7enL3tLTY2Nzl26nR3LibTGbqsEELRWo/zAaSK8l2mRRcDfID5bEZVVxFgJWUZ4VGSmHnhTZSXg5RhINE6zRN7I4ibiaf+HCzLkqqqoj9BIj+yNNra2lpHDOZ507/2VsbSOybTCTjPcDikLKNE22w2Q0oZpeKc75EiGXBLBKeIHi+B5D+Sx0VKgoCqrhEurhKC6PVQllWS/jHxO1LEOtK1HgWJIlBJEDH6o/txN1yrfcJkmakk0hoDUsW517SOajjCByjrAYWQnH/tEv/Lv//fefGlV7FG43xBCAVBCOphRVGWSaouytTUdYVUETRdmILJbMH27oTt3SmPPHw/6+tDXNsSgsK1hvnCUMtIMDoCdV2wdf41nvz9J9GTOeNxzUJ4tkLLlWsXmAj4wMc+xI986gf4sz/5E65duECpAruTLeq1iuMnNnn+u39GW41ZXLnGESUQruXqK69w5thJQgnBekofCHOH9J6zZ+/n6fOv0viAHgzx21ucf+ElXvvwZZwShBI++elP8dhkwmBzjfFG9PJ46Ox9zLa3efSJR3jovuMgCi5fuYozlh//sR/jf/qf/kd++wu/ww//8A/z4ivnuP/hx7h69TK/9wd/yP/9v//v2dq+zqOPPMqF184z2dvm+OYmw6pgf28HiafQSc8tbWS9sxhrIlEvosn6eDxgc3OzG9eYeZdMoMXyWslrgk73kOCWJOASTF4FgfNrNxDsQnUG630C5eB1lN/Pv4P3CETvHre6bvavv9XrMCRiKN6LfYiyV/leFh+WcuDBUhg5P0Rtbm6yv79PWZaMx2NOnjzJ0aNHeeC++zl58iQAzz73HNPZlJdffjnuQ3xAKNldG3GNioEJObtKyP4Dc77nS/b29qjrOpIiRUlVFTRNw3Q6pWkajh49ivee+XzBhQsX2dzcZH1jk9defQ0hNPedORsloJQihGRkHyRKC2azfX74h3+I//jrv8Zzzz7NT/3MX+W3vvDbhAC7+/u88uprHD1xgu89+wJf+eMn+dxPf5b93S30MPouFTr6AmVCvT+u+acbh0BHyHVkVSKiBBJCiP4ZaW3TSrI2KmltSQgj1BMP44Pn1VevYJzBp/CWPK7598Hsivg39MOnDiMo8s9hWU7xWCRxisR1r6qiP9r161uMRiNGo2G3h8n7lEimr+5x+qVbv2/SZj/Y4uC1dNjr7xEj75W7KukSeVfMojfhwfueHPefA7IgPjL+53+ct1XeNkLkHjV+oIp3/BqQnl9WyJE3+vzBv0Xv58Bnu/oj68AKuHynUdy9cgOInAmR5FHgdcwOcaXA1QJbRXPzKFeVzNBTQE2//mz63CdJ6GeQHPhZQREF+EyMKJaeIQWEIkQJrYKlf4hakiCRbLoJKXJYOYhe5qCZfAPq5nVY/VD/WF+n+hWoPfVrxRg9/T9niugUpFkrG03WU5ZIrZJ0lrQUwqFxqJ58VsgthcOzRvKn+jh19zv0P3fYEfWolVvE1t/4jKxWdG+WrdTPO95/vlPvJen5oiNHlj+RHIl5Q/7AV4J4HX7v9Q61Pzx9cuQ2uyz6dXAXw3In5eA1fZdV3PqXVjevr9t0Pi953brF8q4mRirfMFI1QJTNERKpFRDQgxIlE1BsbRexPW9acI5FkniID5wgVYmxgaocoAvNeDTENA3eGkIomJs51raUuoiAdjInzvWWZUk0ojVEvC4CIErKjkyx1kQd8kIloMSvPOB656IvhKB74I7HtvycFDJ+twe+B0DpAohZJwjRTbg+EOxJEbQeorzKAZAg7yBCBFqjKSi0rcW7lqqqKIuaqqpo2obgXQfA9yNIcxZGn5zI7+esC6AjQHKmRSZL8nsZLOtniDjnmE+n3Xnp2kzjORgMIjiegAuR+yVlR3hloMEY0/0/96Vto3zWaDRif38fgEXb4IJnvljgvGMwGKBd7FNVVfgQ/SWQAolA6qW0WCZc8jE551nq2NMdRy7L8dBpHmT/moCUSaoqRFmT/tjFCGiJF4EQJNZ7VDrXWiWpp9SMtZbhcLjMiJAB5xex74msibInAa0UAomxMVsq6rt7mnkDXjAcjigLxWy6Q/AGXUjAolQ0Jy8rh2kbnFesjSuOHnmQk6dOM5ks2N3dZ9E2lGUVxe6SQXjrInkYryPFbGGwzmNaixcCpTNwnwGoDMyFNL8kgoCzixQ9DXhNUdQrWSLW2o5QG4/HtG3bkX15jmSSZLFYsLGxQV3XXSaQMYbBYNCRHpnwUkpRpdeDdV22Sc4wyRJcwUUSMQPDzrWRsBBR2g/hkUpQaE1AIVTJdG64du0aupjikShdoooCAZRas7u3F+WpqpjFJsi2bHHjL4RIGTQhPw1AimrJhEiW2jpIJPX/77yLm4QgqYZDhuMNrl7b5qXz55nOF7x28QrrR8/wQ/e9j/3dBdO5ZTppaNoZe7MtdidXWSyauBaJuNYIKRkOaspCEbFjy1e/9iTj0ZDxuGJ9Y0RZVmihwAWCdeDiVm1zNGSIoH7oUS6ff4UXJlv4UcH5a5e5/5GHOXvmFCYsaP2cD3zk/fzmi08zme1z/8OPMZlNOHXsFFsX9phdnzJsSwZFQSklbm/BPnvIoNFCUmiND46rkylHjhzDSsE3X3mFB77vIzyxcZTRkaPsTbe5cOUKxzeOsXl0g0ceeYBHHn4UEBw7doxAYLq/y4WLr7E/2aFZLNi5vsV0b8L2zg6j0TqvXbjES6+cY9EuuHr1AqdOb9CaHf7ka7/Phz/8MR64/wH+m//6F9m+dp0v/9HvsLN9BZGk2JqmYTQaAqGTY/LBpnEOVFXJ2toYrRXeWwh0xG3e+EcyIt1v5PI6kxHhjoRLb93qz42+VN1KpH5eow7IZh0k4frktEyERt799Eny1fXvRjkl55b3nezzI6Va6Wv33ZDuJ0ogUeAcwTpKpakHNUeOHOGhBx5kbW2Noiio65rPfOYzHDlyhOvXr7OYzdmd7DNftEmSQS6Jb2JAgzWRuM0ZlssS72sbGxsdqRlJ8YIQGuaLOSdOnEBrHX2LUmBAvFeVPPjwIzzz1NO0jeX06ZNcv3aNRdNw8uRJ5osJa6MhVy5f5LOf/Syf/exn+M3f+h1eeulF1jY3uXD+NY4d2aR1jo9+6EP88Zf/kH/7+X/Ppz/9KUaDEZPJLmWhIO1VhNQJO1gSpiIFW0QwQSLVkizrzj3gO4Y24KVAyrj+WO8RSnFkY5Q+D489dB+2dbx6aQsfAoGlR1aaOWSDy+XNc3XnGzxpTxZHQUiRXstrTiaMD4s7iscUrwvJeDxGiOglk+8h8V7u0/+XW+l+EMhKjYeQInmu3qwczEDJnz2MDHyvvFduqRwGEL5Ty70Cg1fq6///Taz7ntX7Dhisd0AX3tHlrRqje9VMBoxW/v8OHeQUph7SbfqNMPglGJb+6IiSA/f5g9hxH6A/ADjeUhE3dm6FlGFpAh8kkRBRAldJbJ1IkVrgBuAKOs+O0K8391GElWNdEiRiNZMk/2SpLehljGTSo0+MpOyQ7CEilv1Y9iHc3nnJzFPvv4eTIzf59qHvpe/2h1McaEOkIUnyWVKE5CviKJWjzpkiOmaK1MpQShNJEeFQOVOkV+/hO8WVg+r9y8pft1JuzEtZPT+3dtpv7MsN0/yOyqHw/13U81aUW+trWPkR6bkhESJBYoPE+75BOx0xsrqfErfYouitP+HGtegWy0qWyd0Oy52Wt7rdvPCJ7j+HlOWJuZPspnc1MaIp0ERDYSGTfEwIWNdinaNpJzTGEIjRit55BlVFNRggvEcEKKsKhMR5wVpRIlBMZ/tM5zPsYk6ho0xXrUpsWPV3OAj+OxcHqaoqnPc0bROlHpIHQdM2FIVK/gDLjAdYPgBrvdRgzxHtGfxRSoGMJs0o2QFay4hz10lQ5ShH5+I50clI2rt8+dMBSVGeCUJYki39TJVMZPQBLwKMRuPufPQf3Ou6Zj6fr4BU/QyHvpRRJidyO5mc6ANfuS/96OacxdL3JwkhMNnfXyFS+mBE7keW2eoD1TnqM2eHNE3DfD6P4HnwHDt2jKPHYsRu9pTI3/fed2bpnSZ+InHycWZApSwrvF9myPSzcZzPRt6sHNdyHrRdxkwkZDymjUbx8f14nFprTKpfKd21o7XGeWiaBqDrf6klKoFzrYmm4BDPuWnB2cCgqqhLDQiads5wUFEXJW3TYhYL6loznU6Zzxu0Bu8NdVmytrHG+top2saiZMHe/oRnn38Z4wPj8RpeaObGQfCoogIlkUSZLecD9XDEYmEo0nWFsDjXJm8dUIUkZreAJspx4QVSerx3aC0YDgc4o/BeroBLfQN1ay2DwaD7O18/bRsJwfF43BEf+bzlz2RyNGeWdIChiDfJLKeWpXKydI4IsL6+jrWWpmmSmfnyhplNnJ0HGyxawf50ysVLlxCqwnqRyD6odMF8NmV/9yofeOIRlFR41+KdQXiJkApw4JfRUJ38XbqGl3POLiPte7vSLjPLeYyzSFUwGA5pjOf3fu/LvPjyeWYLm0icAl1U7E8agtCsbY44fmqIEC1St3hvaVvHdDpne2eX7e1dJpMJi8WU2SxeN+PhgGo8YjhaQ5aKK9tTmvl1rPG4EImeYTFgXFXYRnLy6CZn3v8A9QNnOPelL3L18kV+8qd+nE98+hO8evE8f/Sf/hNXLp3i/Y88xgc+9D7OPnAfO1evM53POLV2BH/0ONruI6YzRBMopcR4gZk0HD16nOnuBGthrivskZrt4ZC1B+/jiUcexQrNCSN44L6zbJ49wuOPPcRHPvQxhmXNuC5xDVSl5He/+BWef+l5Hnz0YZ557nt4Z2lmUy6cP09djTl37jyWwMK0bO3u8vj7H0eowB/8x99BScOX/uj3+M3/+GtoMeDM6YcZj8ZcuniJ9TWNt47pdJ+qyh5CCudMvN6FQKmYR6JLSVlGDyBVVlgT16yyLLFJki8kMkKqmG2WF32R50HvvpR/cmZcvqfkdXjpYZXvNeKG7+Y1PWfGZfIwX0f9+1E/Ir9/jzg4Xw9+L67Vy9c66Unic1u+X2itqAeDro4Tx08wHA6p65ozZ86ws7PDiRMnaNuWhx56iMFgQFEUPPv8c/zZ957GuujlpFT8vidAj8TPfVn2M6CSj5WUEu8ck8mE973vfYQQ+NafPokxhq2tLZrFAu89jz/+OMePH+dPvv51fuqnfoqPfezjXLt2jZw5NhgMuHDxIhsbI6y1PPLIQxzZXOMnf/yzfOELv80zz3yPn/35v8GX/+hLXL92FbY9zz3/AuP1I7z0ynm+9JWv8df+yucwrUEqj5KBgOtIhb4Mpg8BJXNG2+r570iovBdAxAANJyC6YMVgFilQQjEaDbFOELxgdrZlf2q4sjMliGUWa1y/E4Eme5kU3Q649yC7Qib0yIUDgXnxAXqJPuQ5lvcDi8Wc0WhEURTs7u4ihGA4HHZZhepA0EW/dMTMIe/BMgMr9/fg74OEX//3e+W9crslpH3JSsThO7HcxYPtrdX/7iBF3vYheofi5e+I8hYRCivXwJvS3Dt4kAX0XYrf6HqIa5vogMtltsUqupyzUJYYfViiozdr6CDx0W0ZboJcZ/A0kyIpS8NrgatiloitJa4GVycJqyJniSTA9CDgv1LvIceefUYyGRKWv1c+28kBhdieXv1/B/geBH8P/j6sZLC04wduRo68Th2v+/ZNZoFI0HQiRCIpEn+UjBJalXIMlIk/0jBQLbU01NJQCkeRSRGysNIh7R3a9ztEt9+g3ICdizc8bfRJjCz1de/w63fwWnGgpKe73r+84YYisJTRcghsULigEjkiCS4Gjoc8EPlaDKtc3210cPnd2y39tvp13UFVd1zusN+9X3fWXsKAXqf6w793C+W2iJFf/uVf5pd/+Zd5+eWXAfjQhz7EP/yH/5Cf+ZmfAaIvxN/7e3+Pf/Nv/g1N0/C5z32O/+F/+B84depUV8e5c+f4pV/6Jb74xS8yHo/5xV/8Rf7ZP/tnnZb/7RTBgLYRuFmLx+KDx3pHwCE06LJgbTimLAuUlggElSpxrcVbk4xEHc6b6G2QAOnhqMC0c2QRo96lKqmrgqaN2SdaRf+Atm2QUkUpIimjJ4B3HfhelAU+RYl2YH3SyF/1JHBJxkokgL6laUxnNj6bzVaAJogZKqWKoO6RI0eSUWiTImKhMSZesInSbBtLszApEyPe9YwxEdAnR99Hs+miiBIew+EQKSWLxaIDvqy1bG9vd39DfEgfDAZYa9nZ2WE8HnfAf13XnfF4Bu0vXbqEUorBYNDptmc5qwx8KKW6djJoVlVVBN6SvEVZlmxtbXV1ZHKibdvOAD1nr0ynU6RS0ZMlzTUhRCdPtVgsuvMqhKBpGgYJHCvKsgN8Mnico0YzaGGt7QCS3GelNfPFnFrUDMdjhIh9y+brEWAPKAHOJhkZH6jqktlinjJz2u7cSyEjsC1gMouSZoEITLXGIIOLhIJturm0WCwodLkEvV1gfTymmc+ilJIzNHNPCCaCVEJTaoXWZZJLa7HCIERLVZaE4NBKIwUs5ts4s6CqSuazBXWlqKoBg2HFcDDC2sBstuDVC9doW4+UEfiX1TqDUuGFpGnSeOsCl4mzHMoLzCYTnEum584hpaCQBUqXWNviGo/WEm89WmgKqeNXvUMJGY9vZqnqGqWWgGgGU7NHzGKx6HxosoxPHsu+10EmB+L34jpkOxJKdYRYkHEO4SK4ludIBke11p3/SO5HJCQVSqt0bdYYZ5CqiDeAoFDp2KXSiCCRusTamCXmnGM2m6c1QmBszE6SKGwbs1O894zrIaPhkBAiqCdVNIXPcxhgNFpbkS7qZ2xJqRiUA6TS7O3u89u/+0e8dmGLEApUNcIFyaJtkIVBJlkhaRum8z0kBiUtuojXz/qoZmNjjYceeABrRsTzhAABAABJREFUHd65SPa1LYtmwWw25fK1K+zPZ+zN9wkuUMoCoUuk1GimbNQ17bBhsDbmr/zoD3D27FnWx2O+8h9+g4+cehg1n3G8rHj86DGuv/QS881NHn7oAfYXM3CGUyeOY5qGhz70Psz4Kq9e/jYbw3VCEwlJWUiqwRijSvZnDZecoTx1iqulpgHuf/8HEaLg/hNn+NBjj6JCw3Ck2Zs2+NbwG7//h1y+eImN9Q3+5Ot/ytqxdS598yqXL1/iyqULlAhmkwmD4ZCtnS0aO8fi2N7fRhWC7z71Zzz5x1/l7P33U8rA+qBk6/oedjFh6hpGw4p2McVak8YqktxNY9L6pVi0tlvHRoMhWikUAWssTRPJ6bZdQLoPxgyBZDStBSEJHAsB3sY1J6+hsJRdzNdKJprz2q0jW0rOkjwokdgH0fO9oiOPlUyEPt37fSA634f6REjTNLTJZwgCIfh0zRYr4HK+3oWID945q8p7R9vMWV9f5/ixI4QQOHJ0AyED09k+xh5FaUldae47c4orly5w9vQZNo8d5xvf/Naq7KKMhG0m/XMWWve+iNle+/v73f1ybW2N7e1thsMho9EaIQi2trY4fuwYWmu+973v8aM/+qPcf//9vPjii3z845/ChcBi0XD02FEuX2o5fuwYW9tXOXFsjbXhiNl0wqc+8XF+/q/8DP/q87/GxQuvMhoOuEYkcmaLlk987BP80e4uv/I//ys+9fGPc9+ZEzTzXZT0SKUw1qdoqkScCdVtOPtjGPc1OSgBnHWJVBMgBEVZ4pyND6/Jnwhi0Mj6eoUQFWd9gajW4dmXOf/aayvymv3ILClU+v+NpEGfTDv42uElesEJGf2ZMmEYg2ACWpeMx+tMJhPm8zlHjhyhLMvOoyrvB/oBLyLtw1YJulW/nMOySw6T3jrss++Vd3Z5pz03Acsn+Hd8eZMe8e9lta+7nPShmXdhOQToBW7vgN49ONptl/C695J7XN5KglC8zXP2ILh3i8tVJiEOkiLZuHwl+yK3k4mXHgj+hoTxClEgeljrsv4VQgSiL4GKWSK+EpiBxA3A1qSMEW4wNM9AOP3fvb/Dwfdu+OzqgdxwWBnUzUbS/WyQWyFAXq/0kfh7GlV+YK908LVMjpCIkfQTDdcdlbLU2kZiREf5rFoaKmE7UkSSiZGbt9txP71jE4d8+u4OO87LzGv1p93tfT/tH9+9d6I7LqvkyJKR67kJ9T4XSwgxw90FifUS4xXWK5yThBS4la/NIKL0MmI5F25rjBLpeyfbetG/vnoHck8vt3tdDq4Ld1ry+b7Je3dzAm5rV33//ffzz//5P+eJJ54ghMC//Jf/kl/4hV/gG9/4Bh/60If4u3/37/Lrv/7rfP7zn2djY4O/83f+Dn/jb/wNvvSlLwExMu7nfu7nOH36NF/+8pe5ePEif/tv/22KouCf/tN/etudn86nqEKiCklVDFA6Rj+PRgNas6AxCwgBFQJFejBVCfhwQiJCXDhzBGJZCkJwyRMkUCkN3hB8Q/ASIUPnFUIAJQVaFynyIKKkOmg8PkXzO4R3eCIAUtVVvLB6Eevx9xKsXwKTQ6yN0lpra2udp0eOIm+aBkOLQHDhwqUkXyGI0uaB1kagW+kCKaKBaR4DkOhCU5BAT5bG2v0sh2w2nUmLDED1AYoMMGfyZjgcrkQQ9306sqzU2bNnuyj64XDYZd5kiZJMVGxubgJ0dUsp2d3dZTwcoosCkwiRI0eOIBIhopOMUFmWKK1RSUZrOB53EaA2RTCXRYFKWSuj0ZhFs0AQyRGd5IlIx9GPhIUlQH5Q9iWDIkopPHQeI00TSat83jp/kBAzA2AJkHvvujoz8NdvKwPr2culk4ciGnQ3jYkkSiafGgMhYKxBK8Vi3uJcBEqdd+AjmFloTVWV1GWFc5b5bIZzlrrSSA2LZpfpdB+tFOPxmEEtEHVNWRRs6jFVXTObzZlOWna3t1k0FmMDCE1ZDtFljTGexjnaaYOQEuvyNVUQvMf6QPChIxDjOY1eAEJFk3HTGrwHIRSVriNR422XMZNOEiEx/N472tZRlodL9mRCJF+X+bznMdY9Mq0fwZ6B436WUCfvg0IrjZBL/xvoR8YDgjQnFEt5tSj9EkKOeolAsCd6JzXNDm3bMhgPsa0jtDF7xSUAbzAYYj3IINDFAEH0lPAlFOUgSvCFKI8nCDhvu81Bzt7KpF2cs7I7N/m8tG2LcBIhLX/89Se5cPEyiwVMZg3GzdDlAFWVFEJTKYmQxKhzJdCyoFAVUkSvm/msZdFEkHE2nzGbTJnNZylby+B9kjsTIAqJEhJvW5xxoDT4QLuYMp3ssu+nnPzqWX7yJz7L6MQxHv7wB/jat7/Jp37k+9kcjnnk5Fm++c1vcu3SFU49eB/bkx0evO8sM9vifMuemWD9HFVLrJ2jQiBIxdQ0XJnt8sSnPskX/tOX+NMrr3D5had59CMf4//83/19hutHKKoC17bIomH7tS0+/6u/RSgLvJJcunKVuqr5+pNPMhqP2Vhb53vPPcOrr55nf3cb5QPHjmxy4sRxvvPd77K2McKGhguXX+XpZ9b56lf/mFOn7+P08dMMqopm3vCJj3yc8WiNJ598Eh9MWjNcnEciXUPedQBsJnyrsqCuK4J3CCU6aam8pmUJKt/JPB7cXawCvn0gOM7tuPFc+ijl70ThI5+uhT6J0Qd6bwSV4y4vX699D4d87+mDg/mekxaBeF7S/T1G97copVHJIyz3N/epLErKUuNNy3BthBCRkDh9+hTb29ucOXOG8XiMUorZdIpAsL62xgMP3M/17W3OX7zKww8/zLe//W3KskiEU8ugHhBS/2KGp8Jal44hXlNSpWOpatq25cqVKzz00EM8+OCDXLhwAa0VbWs4ffo0xhi+/vWv85d++nPMZnOuX7/G5uYmi9mc+XzOsWPHEMKyu7dFVVVsbK6BtwyHa/zcz3yO//Abv8fv/97v8vM//1eZzSZsXb/Ozs4OL778MidOneGFZ5/mf/lf/wN//+/9HYyZY+0cLeKDheh5aWQAIRNhcf+gEwmt0niCqgq0LgFBa23MpNUaT8D6gGktrV1gLTStZzqdM503mLT+VlWFMRbnDEqVKJUIEiEPjQDrz6P+a69X+oRZCL4jWiJZEiXdsudIXdfs7u5w7tx5xuMxp0+f6jJqD3rh5Oy7g/eJPol0q+TIzbJS3ivv3PJOe27K0dQE8eZlY7wZ5c2Y82/m8d9LUuTtHqce4HxHqMvb3f83odwQqfuml9tF3O6sCXgHEHmZFOgTJLd6/WewX4gE+CfjcikiMRJVOWNJvhy45McqAsIlksAvDbFvzsv02IN+u6n/oetDIkWKaKjuaokdgB0kP5GCTtbqVggROPCZ3t9Lw/lDeiwOzNuVNl6HFLmteddDPd+QHYhnts8r3bzdcMPxHvxeJjPiswmdcbqWgUJGUmSQpbN0NFkvhUUJnz578/6mp/OV96L7IRBChxctiYibG7bfXrlbFPleoNDvvnKQpOruxiL/ytRIesZMF3CkxSQegQ2SxmumtmBhCpxVYESUp+uZj+dr7maX3Rt29Lad1/NxhWyLdPCNd+5o96bjXW3p3mAf0q2PNywub1xuixj5+Z//+ZX//5N/8k/45V/+Zb761a9y//338y/+xb/gV3/1V/mJn/gJAH7lV36FD37wg3z1q1/lh37oh/jCF77AU089xe/8zu9w6tQpvv/7v59//I//Mf/gH/wD/tE/+keUZXk73aFeU1TDaN6pdbzbOWOZ7i2QQlAKoqa0MQTpEErRBIPzPkppCSBZe0oBZj6LD/0iLoAyL28yXkAqmbQKIaLckCARFo4QbOpVNBaNwFKSXTK2IwJAouRS2ih6a7QdMJOzTUBgWod3AVEopFBUpe4ic621CCkpipJ5s09dlEghCd4SvAOWprIZMFZaReNqIRFSIPxSbso6hyB0xuZlWXakSAZHD0Y55tczeJsf8LMMSo6I7ctG5QjMPvAMdGOfQeQcqd+2LfP5nMFgwHA47EBbpTXWuejjAMznc4bDIW3bUmqNi9ooIARmsYjkTD3AJINcpQusD8ynsyT/Ml/KIPXAHgIEZ8GxAkrkseqDFJ3UUO5/IPk1uASO+C6aGiJI5uwyerTzU5FLWZoMzOcoaGAlOjXLzUTAPuCtBe9Ahg7Ybhdtp/s+mc2wpmE4GmLaBVWhUbKmUBoCOGOYt3Na06BUBFL39rapKs36xphmscdoXHLs+BrzSYMIksXCMJ02iD3LZLKgKGpUMaAoFWUtcd6zaBtmkylIQVEN0CJmaghpOzA2r3M5HlgQmfh4TUZgVQhDUSgEOkYfewlSo5UgEP15pBQIoRAovBf44AjSRuI0gakZ7G+appuPeQz7v4fDIcYYFotFNw4ZBFy2tQoOx2sggtRaqjQnordDHM8CKT34FLkgBCqNj3chmdInklSAkAqJwvnAcDgmhJhhVOiS1lqKokLgsW1DawPOS3RRI4hrkPUx6r4ooxG3txaCQ+AoVEkQvsumyYSmc5HMzFJjTdNEQFfpuC4UBc++8CLnzp0D4Nr1bRoj0eWYeTthEIYIVVGUACodh4zR2L7E+UDbeubzlul0ynS6z3Q+YTaNmQ/OWYQMlIVClHFt7yJ4JHghEBKsi/qxi7Bge77D//aFX+OZV59lY23EXpixEC2vbe8w2y24fGmbqhoxnbY0rcdZ2Lq2A4VEFRofDFQBUXns3FEoRdCCRnv2zQS3/Rpfe+1ZZjpw5L5TvHr+HN/+6lf57I//BN/9s6f4zlN/xvpozKWXzkUvmlHNMy88h65KhA/MplNme/ucf+FFrDUs9vaZT/cZVBWXLl3m6WefZjQeoguJDy1Xrmwxm0344b/wI/wffuEX+OgHP8Rkb4b3hv39Lf6f/6//B0rPuzXE+4CQUQYvEDqCTQhBoSPxXVcVhVY420YpthAI3iLIa3tc36XI3k0hzVMIIa9VnqXubiI90v0uXwv5/pbXMWtN8i1aAsF9Ijl/p++n1TdJz/edvE721+L+9/MaHEFqv7JTDcFhrU/HWNDfoYUASslufdZliZSCzc11pITBoMbaFmMa1tZGnDh+lFdnU4pCM53uMxoO2Nvb59jRI1hvUzZZwHvLoKowbZNInkg6VdUg9g+P1hVSi84PqlAF0+mEqqq4evUqhVTMZjPG4zEnTpxgsVjw+OOPs7e3xze++ad87KMfp6pKhJQ4wDrH/v4ObTNlNBqxsb6Ot47h+oj5dMIPfPLj/Bd//a/x//4X/192t65x35lTXLt6mcViwfb2Lp/59A+yu7PLf/i13+Qv/PAP8aOf+SQ725exrl0Zv4NjU5ZVd05DIGWhOZwLOOtp7R6NsUxni+5na3eH6WzKdL5gb3+KtQEfJG1raRqPkwVeFkipqaoiZYIuNYCT0VG3Zh8kRPokWy6HZZHcSKIso5FyBp4gEvbLoI4RRVGyWCy4dOkKGxtrK5Juqz4gq4R8fw/Vl4U72J+OaO/N8/6+6b3yzi/vtOemWN4CkPXNLm9W/+8hAbOyqtxttaL75+0pfdDwdlCXOwJX39nlhpj1t+vY3nSi5G06sB4rcqfRz0FkUiRJUx00MicsPTmSF0dw8XlTuASS+1Ub68PIiCDEss4Up9ERImLZti+I8lmViFkiw5QlonNf+6QGNxIkB8shr6+QIjcjTfrfPfj6Ie/d+Rw7sFDcywySw77bkx4ThCUpIgJauqXhuoreIgMZiZFCOrTwHd6Xs00ObVb0D0GwpEHSXyF+aJnPfC8lrLqG7xRHv+Go/jNakl+3HJzeEaMVmcfqSiDu+6OMVswUmbuCia2YmxLbaoSRUQo4DWw29ha9tSrcpO2DpVvm7ngwD0yE7qHlDup7K8vdXBRvSLbe5Oq9jfbu2GPEOcfnP/95ptMpn/nMZ3jyyaiD/VM/9VPdZz7wgQ/w4IMP8pWvfIUf+qEf4itf+Qof+chHVlLEP/e5z/FLv/RLfPe73+XjH//4bfVBawNigfcCZ6PWvjc2RZjHSGyJAKEJLuCtxwYSybHU2JcCUBIbXDdRSQ/ewQucDwQ8Qkcz9RjBKtLDvyMuiHExlVIkAFCgRQE+GXNDygAxCYARBCzOWUyKNOzAIuIYxkj1AmsdbWs6AFdKhda5fZ+yEjTRRwWQEpWAZ5eyQDJBEvsbCQclVOcf4r1HClakRfoP4p2cUw98ykBwl/3AEhDIckQ5Cr0P8M/n85WskwwS5KyUnEEipexkLICOVMlyX4dF9Gc5rb7WfQbpyqqiaZqOSFBKRa8OH2WGRqNR917/WELwnaxSnxQBOgIoXxNAd44KXXRjm0G+jgRxfml0nr0e0vnMWSx97fLc335kaZbwiOcgRj8bY1AySiOVRR3rFwJCoNCadjGnKgsGVcl0NqGuRjjbsDDz+JmiRJea2cLQGs94PGI02gA8StUcP34/88WMq1emWANKVLRtBECrsqSqS6RUtM7SmgVSqeiDgUSqIs5NlbJxpEQrgbUmAZMq7i0DnfSOFJIgQjqmCPwqEbOcpIjkiHUG701UY8En2R0Vwc8QpeW0VoReZHgG/KOBcTzfByPSMwHSJ7Py5yMZaAhhmQHWB+GCDzhnkemzOQsrl9iO70jDJWgWj00XGiHBhxhRbb1nWJc4v8D5gFSKxtho0JyIGKRmf9bw7IvnCM5QpMjt0WjEYDBgbTxkNByhtMEsZvgAWsVMoj64GImcpbdQziLJ15xPpsZXr16nbSx7kxlFVTBbzFnMdtFFiZ9bvKxBVvj/P3t/HmxLct93Yp/MrO2cc/f79q33HY2tsXWDC7hCpEYQJXJIyTMkJVEeWaOQw0FHjM2wxmPKUmissEKWPVSErdGEZEm0paG4iwtAkACxEUAD3QB67379+u13eXc9Wy25+I+srFP3vvvWfq/7NdzZ8free05VVlZVZlbW7/v7fr8mIk4irImwQGm9/FhZFoxGQ4bDAePxkDwfU5WFD7BjJwC1FCjniJxFRBElDoEmi2NsYamKgrzIWd9ax0aC/tYGj7//PXzgAx/g2P59JEWFGBUsLB5nUI5xkSRbmGEh6zFa36IYDKlsRRJJZmfn4dhhll86xUI2xdBW2CyjVI6XX38NBIzLgqTrIFL87h9+mjcuLLG6donZmWlef+kFttcH9GZmqGLYHm0zvLjNcHWdxbRDtdVnsLXN/L5FOgKIYpSSjIuSxZk5KmfIxzmFLrj3vvv5i5/6CT715/8CkVN846tf58UXXiWJBcsrZzl9+iSlHmFMhF/W+8W6rZkeHsT3oEWkZA2kRx44dQbPqJqwnPy93vmMbdhL9b8msNvq75NtL89mb2fQh3p2b3MlOaHJ84fLyu6M+TDGdtQpa7qzc80bzYQJA+3VmZISJaVnrZUl01M9kjhmdnoGix8T3W6XkydPcvjwYYyxrK+vc+zoUdIkocw9CP3oo4/QOzvNt7/1LcrSB9CD6Xr9zkQkFVL4tURZVvS6PVx9H7TWXmJuZpaiyL2c4jhnZmamlt+SRErx6quv8b73vY+TJ1/jxZde4qMf+RjGWOZm5yjGY6pKUxYlw9EWH/7Ae2qGiiaNI5yu+C/+yn/Ob/zGb/KNr/8Z3/eJT3DfvXdz7txFNre2ePXkKQ4fOcap117mt3/393n4wXuZ6mR+bVG//DWB/dZ9M8ZQFCX9fp/NzU36/QHD4YiiqMjLimFeUlaWYV4xHORYPKhdVhWlMSAkUZRgrKUqPXglZYKtgWAnBUp6abIJm0lc9lLR7ku7+9VuaaqmX+7oz2JHv20XDz5OkiImjNCc8Xi8AxDc3Uf3Yqzs9JrZ2e6wz7vskO+ecie8NzVZdHdsSuF1lNsIityWy/LdBopcb//ZHeT9bitv59T83XpNYc+Y+u6v9/ocaHl5iBoMmTA1bCKwPu8UJ7xsrLCAdcjKISuQuv5du8bIfMIeaaVii1BP62fNTnGBqaJqk/XY+4d4c3WBScEmYBJqCSsu60s34iuzA/AIXizXADv2Anmu93hXb8xV9r+OoObeoMfVKmt/PTFMb3xFlCFRmkxpMlV5poiqSGq2iJfP8sle3lnichkt0fqf2zUB7v5NuBo0ueUGXi2g5SbBEbertf//Vq742Gq+EPU7tEBbSWkjRjphUKaMiwRTKmQhkFrUSVn1PanHb/N4vAIe2C7NJje7Fqv325l8UYNy75AHw001sz7va/bf1pzqbvBZecPAyHe+8x2efPJJ8jxnamqK3/iN3+DRRx/l2WefJUmSRv4olIMHD7K0tATA0tLSjsV9+D58d6VSFEWTLQ+wvb0NgMQQK4vRFmMqIhmRpD5Qbas6CIpEKuUzOC1NJoCsdQSx1puBOtksioUQIBQIhRQRKnJU2AlbpH4pD4FNkHUgFRA+Q91n8HtjaEHtTwBekkkIKm3A6BplFFgXJmSvR26qEoEkjn0WptYGqBrpJCkdWnvgodvt1jIW1gNAVmNqtgRNcGgSoA865s7QvMArJXHBMHpXoKANdAA7wJHALgkBnXbWbwj0BBmeEGQOoEjQWQ8SHCHrNwSoA2MlHKvNxghm5iHA3dacb8v+tP1EiqJotm2zBoLEVmhDkiRNXR740TsCHe2M5vZ2bfCiqipoeTOEaxjqrmy1I8DU9qcQchKUbgNUoYTr4M26fTuGwyHWaqJYEKuE0WiI7CmSOKlZDT5A1+1kxJGiLAqUFJ5BYCufXSFBKEOlrfcskYooSlFxTFkUDIYGZy3GJSgkZWURIkEqhZOCUaHx8S3P3BDSs5QC2OeNzR1aalSksDWIE8dJzaISjXxcJFVIVG+uua0XsT4oazz7SeIZPdIhVH1/cDinPcgiHU4IjN0ZgA2SWKHvtq9r6Feh77aZICH4OpHH2hlYC30ojpJGTqgNiIQxEbXGSrjP1npde98HBNrUkjNS4Y2DIU0zOp0eZWUoCo22JWWQWbOOza0+S8trWK1J4wTr/PhM0oTZqR6HDy1y5PAi3c4Uphihdd6MhUl7Y5TameHcyMIYi4oSrBP0t0eMx7mfB02FFRVajyk0RDpBk2JshyrNSJKUOIqRVNjKoXVFWZXk4xGD4YDxcIjWZcP68UWAszVjxgeSjRcqxFSWUaFxgwJpBfPT0xw6foSHHnuUu+6/l850l7WtTZYurKMKg600GodLY9Ksy1bfMNc9wJHZ45gyZ5T3WV29QN8aZu+5n6VXT0MmWThwlNnjB7lUjFh54w3KcUEWJehSI2XChdUVxs9+kyyKWD6rcaVGiIjnX/wOReIgEujBgNnCkFWao2nKgfc8RjzTY3m4xfOnTjI1Nc9UNg1RwkZ/C5TjJ//yX+Yv/MVPceLEPXzn2W/zuT/6U77zzLexumRmtse5i2+QlyUyitG27vNiooxrAeQkM13gSOOEWEmsnYBxkzEB1nhzbWMngHcwrK47adOPdwdx2/NUm9kRxkl4ZtD6vg1A766j/ewJgOZe83abARaOEYB15xzamqbdIQ8s1B9YUq5OE5J4ANloS6wUxTinyHMefPhhzp0/t4PpNz83T1mWXLp0ibvuuotxOsJoQz4e8+ADD3D00GHOnDnTMGYiFaGtQQk/f+hKN+lJcRQxPz/P2bNn6fV69Lf77N+3D60rRqMR8zOzbG9vMzvrfx7YfwBn4eWXXuGhRx7kjTdOs7R0EWshTTocOXKEOBKcOrlGVRVkWcp0r0ekAGcpipy77zrOf/23/iv+u1/++1xaWWK61wW8d8yrr53kr/7Mz7C8dIFvfOMZvvb1p/nkj3wfw+EYVadYBRC3vRYA0chpRlHEwsI+f60ROBlRGuG9gVSX4ahkZXWDS+vbXFpfZ2Nri+FwROXw67XUs+d83w5AQT13V/U6hSBteDmgttfPdtkNmOz83a/tAgOqvb1zYLUh+I9M2FFx7Q1XND4ybWB5kjwzOV57/yu1sz2e3gVI3rnlTnpvasp3TXe6iQjRDVR9x1X2dt23vcCRG9mv+fu7puNNytt9Sm/VNb3dh2k/Avc6p/BMv1odAqwUuBqQsEkNSqQCk4mJbFUtqSUcCCM8KFJ6UESVDlU5pAbhc0mR1iGsB0vajW2buwdQxCp/fBeBTrzJukm9dJbpsLMNe4Aiu8/nap/tADjCWmg3ELLXZzu+u8WR1D3nhzeHxu/sDhPgor3+q5eJNShiUSr4ihjvJ6I8SySVmkRqYqmJhKnjgbY5xp44dOuc6tSzHR/u5IbcKhmt3U1488CG23Uf3u6p644orvV+iPcWKV3E2MQMq4RBkXlgJI+QuUBUIOyugSRakFk7eO8uHw67R0FtM3LjZY9Kgyn8HXtfdyNHN7V/65ruVVV7fmzm5+s/xA0DIw899BDPPvssW1tb/Nqv/Ro///M/z+c///kbreaGyj/6R/+IX/7lX77s88gppI1wrmYv4CidBue8znWisM5h8UFepWJMUQf3hUAIjbO21me3WAQqjhBSobWlrErAETcSVPWLuQ3KggJjbBNEFIIaQNCNEW4Sd6lKTVWVdbA/qbXCC8DVgSfdnJMPwNZmzERNtrrXJveSPAEEscaBkxjjKGu5LiWFP3dZy4PEyvug1D1Iykmws9PNGpDBGrwhb+0n4txESidIR2itKYpiB0hgjGE4HKK1ptPpNABKW0YlvPxXVYXWugFyYBJwiKKoZUg+YZGE4FkADrTWWBxx6qXDvOSO8J4jVYXAZ/92pzz7w+GojMYUht7UdAPGBGAmACFxHDMYDLDWNpnx4V8AaEKgD2gAqvF4vCPA0ZYWs3YC9Hh9+6q5biqKvExNXUK91lp0RSO7pCvtPWhU3BwLQCpJkZeNPwZOYLQmTTNUpEgSv79RPtCvpKC0miT2Af+qLJiankIAWTrlwbqqwmg/uadZD2sc2/0xacfP7GVlSOIYBFTG+EWfKzC6DjJaD0JWpSZJUqR0XkbFWKJIEXc6FGUNTjnhzdTr1amzAqekZ1hJiW2CpspLzeHBSmcUURJjncXizbqRjjRJvBycCH3ToygCUwOTcgeoERhJQfM/BKfaRusBKAj9tKqqHUyjqrpczqQJ6gp/jwXs6MuNBEoUIcVEuieAJN1Oj8Fg4A2/k4yiqkAIelMZ1jqee+55zp49R5T2GOWV1zhVimFe4KwjVopu1kEXJTifcR5HjiS1DIcFF5aXOHt+hgfvv5vjRw6gC03wSpkE3vzcEdhbbRaWRmOtwTg/nzrnZ0JrS5AVKvLScdpqXF5htfb9IdZEMganqfS4kcsqi5LxeERReiaXs9b7H8UpQqoa2JVU0lFJhzOGNErpzfVYmFtgcf8BDh8+ytzCAuWoYHNtnS/8wZ+yur6GiBRrW5sIBzJLKaxFS4XKUqY7XVKpmM069Hopx04cYXHfAfYf3M/xxUXWCss3v/I5njhwHzMHF5iysyxUFdnFNfKNEbHyDLzMRQyW1tnWFZeWLtCREXOdHp00wsSgneW+Ewc5kDvu78yyKBPGumB1uMY3nv4q6eIcH37iMVZX1hhXkgceeJiPfvwpvu8Hf4CzFy7wP/zf/zmvv/Yqy+fPIZzlwL5FVlYvoLVBqo5/fliNl+kL82kA6bw8XZi7lPJMBa0NUood/bUxRXdNR/YyW23GRqtvh9IO6oZ5rg1Ih22cc8gWwBb2CT/bn+/si9C8eLQAkwZoYcK4CyDMZdJEQjRtbzP+/PiX9TVsBa6tZTwakyQRo9GIldUVnHPMzMzwzW9+k/n5eZaXl9jc3GRxYQFjDOcvXGB6epq52dmaCVJinSWSgipIGVrTPBMtfg5PMw9ejkYjApvyscce5czpM5RlyfT0NL1er3k2aa05deoUaZqyvb3NN77xDd773vey/8B+zp27QK87zdbWJtZa7r33Pmw9B2hdISxUpqKsBuSF44d/6Af4N//2X/PtZ7/JD/zQj3L//ffx2utn0EXJpz/zRzz66Hv46lc+z+//wad56MG7mZ3pYHXZXEspJUpGDUglpWftBmBZ1CCQsY5xZRmUOWurK6xvDLm0PmRpZZ21zT7ahhw9B0iECBKUEMcKJSVFUWKtqT3dnGfr1dcw3OImULEHwLC77MVOCv3O9z3ZPEfafdEzRxO8H5tuGEjO2abPh/sUElH8mmDCRGwzpm6GESKEwLbYUe+WO7/cSe9N7yhfkWuUy7Keb2W51fXeivr2CmryNiSI3uy5fBeAIjszdN+uVrzFpRUQvu3HuVo2cL2Wu+wz6sC0ABtLz9JIBLojGmNzUwMkDSARlpwNOAJCC6QGqYVnjpR4cERTs0g8o0Q4B3VgtF4l7PQSifCATOwBEZMEGS3PFGm8RK4wnq+nXDb3XQkUuRo4svti33y0/Tr3f3PgyGXHaAFCDVOkZotIaYmkJZaWtAZFMlUDImIin9X82wU2CUfNItkdVxWtrS5vWNvS26c6uz3P+OanjrrGEHBvgznX2C+0KtyHvc/gnV6up39NQC2HJ3+EpELtJGMbM6hS+mXGYJwxHKWUwxg3lsgcZO0z0oARNZLW5hNBPVXVoMeerWrdkptZl+3AF3Z1y7d8TXC95WZBoNb+u89xBz7UmuNce71xO4GRJEm4//77AXjiiSf4+te/zj/7Z/+Mn/mZn6EsSzY3N3dkPy0vL3Po0CEADh06xNe+9rUd9S0vLzffXan80i/9Er/4i7/Y/L29vc3x48fRucVEXv4nSROsc4yLAiG99FVlJ4CJcAJhS4SMkNTIfsAIBT7jHIGxxgMlTvhMeGfQxuB0yMr2UJVSMUp5Tqa1QXZBIIzAGh9okUpSlSW6mkgxVVVVy/H4J6PWBdbijUlFAGlEbZqummBsHMcTqaQ6+G6dByCGo5GXm1GKSEmSJCZJEh/Ir2WgELW5srXEUYwStZyXs3Q63kA7H+cAjS9IyDZrgxOXa2fTgChSykZOog0uhDqmpqbI87zJ+N2dYZznOdZabxhey2q1TceNMbWW304pq3DcAFaEOgMQEcdxzQwovZQME3+UNoPFG5/bHXWHDNAAjgCNbrqUugaqJh4xznnmBTiM1pR1QDLLstpQWnvASUXoGhAL1yicS1X5TGHrLFmaUelycl2jmLIq6SVdVBwhpZd3SmJvcJ4kEUWe0+12fIDUegBtPCpIs5TRKGc8HpJlCdpoDxQVkWeHxBHGWZwVJGmKc1CUJeO8bPrAcOT7SJqlOGFw0qFSRZYkmMphKktelnXwCLq9DkJ4RpcQ1NffZ/1GUqIib6bupCRLOqgooiwKqlpiyjM3SpyDOApgocCaAqm8XI4x3n/Ey8lFCBUAzBJrK5wzxDLdocse7lUAuwIgEgDAEPhrGB7RBKQMniMh4Gytvex9ryjKHWOgvW0boAl+PL4jwOZ2n04nI+2mbG5u44DpmVkurW/xm7/1Bywtr9HpzbO9soGxIFWEdY5cWz9faQ8sOefoJBlSqFqD3JLEim4vYTgasb6xxaV7j/PoQ/ewML+ANYY48UBHWZYN8Ouc9awQ4+j1pujNxBjtAa+pqVnSTsZgnJNmMcYZhnlOHAlKbShLS1VqiqIiUmMip0AanMuptPcsMdpQlfX4qcelREAtXxg4qtpUxDF8+H3v455Dx8jiBCEVFzbWeeXVF3jj7Dn0uCAxAjMuWZxf4PyZi8xMzyJVxGhr4PuWNqROMhr10VnG1uaIQpc889oplJIszk7z8D338dhD9/DDP3sfW1vL9KUkjiTTc/s4euQuBMtsrG/gCosYFnSFQjo4cfc9zMzNkKmMaH6GL516jsH2OqM4Y//hE3RlzMbKJaJE8u1vfo3Mlbzv/rt5/KF7OTc7w6c/+xWMlTx07310YsXv/6c/5Itf+CLa5OSDbQ4d3Mfa+hL9rW2skBAljMsKJfySbBJwnfRr4UBFNSvKuVaftySJqgEJHwi21s9nDs/eklIi6mdoAFustX4ObjH72kyPtuxckIlr5AatAzeRKGozkdoMkPZ3nr3pTYLDWGyzR8K2YTwFEL9JYKhZMwFoDXUGwN77/Uissc0c7rcTlGXFpUtrjIuc6ZkZTp8+3bTr1ddeo8xz8qLAWMvho0cYDsf0pnokSeqTJJQCHDOzMwwGg4Zx5mUrRQNajccjqrJiZmaG4XDI6TNnmJ+bwxhNXuSsra3V8l0GJSX5OOf8+fPMzs7yxPs+yGc/+1l+4Psd9957P/3+AJBcWl1he+sSH3riPRw4uA9nDeN6bGIN49E23WyaX/zf/K/5pf/D/5HV1SVU3CPPcxbm9vPqq6/xyR/5Yba31vjq00/z+S99mf/sx37Ys/bCotRRsypCQoACpPf3QoLw/lK6np+WV7f55re+w+nTF5AyQ6U9kMpfJymbPiWQuFpuzxpNJKDbS9DVZN2h6rmfFsgAbVm4ev4I8z2qAanrqXbHs3cClExegf1nkzrbrCYhJCqKwVT1WlHULE7vHTMajcnzkixLybLujjr82Jokl+wl2dUuu1lUoR+/W9455U56bwLRemG89hvq1d4n3/6X79sUyrmV1d7ky/mV69v559t/D66z3OS531HnJ674x51V3iog43YUsavdu3GQ1nVvfxX8RGzkfTxMR1BNCcopL2HlohYoUh9nx88QaLbCM0OMRFagCpAlRIXzv1eu9iRxEyzCebtLavksk3gfEZMIbAo624Ml0j72lc79Gtepafj1zAli9/duz++u2q2v1eV3p8Zfs+xsSZPfco06dveA+jWh/ufBESUckagZI9LQqYERb7huCQLEe0lnNXCX83Xd6Pm0T2Mv7siVwJKd53adRwq3/7qvewBFJmvhcP63FsB5O8uVGTsCgqNmHQGeyGcZVwMjJmZLd9gsuvTzDuNhihklqLEgKjy7rGGOtVCz9j1BXA6hXRnwveHT8z/2uGniSjfyDipuL4D7Rkrrwoo95sw2yHQzgNNNe4yEEox5n3jiCeI45rOf/Sw/+ZM/CcDLL7/MmTNnePLJJwF48skn+Yf/8B+ysrLCgQMHAPjMZz7DzMwMjz766BWPkaZpIxvULkkivWa2M4yHAxCCSEqstgglkWIiu2GMQcUKK+pAqHaNCbox4IzPvJW1/rcHHmxtoizAeOZAb3qaPPd60pUrCIbqPthCDWxIIpFgSuN9BqSizEsGgwG9Xo+pqak6o99LwkjpUA0I4qW+xmVB29g5gBS2Zrj4oKv/faqX1RnsGnC1Eb2lLH3wVirvi5JEymt2W+/TEEnVBKOM1kgFUVwHf/sFDlubw+smyNV+wQ8B3fF43HiJBFCjLMuGiRECVSGgbG3tixJHtZkqHsCJIzDGS47EtURW3OqiNShknZcZiiIJUjDKxwgBkVDkpQcfpJBo45kAWZaRFyW4Whqm9k8IgTalFHGc1Kwi5YO1VUVZVPSmulirMFZjrajBLYuutM+kF4re9DTD4QBwxEnMcLhNmmY+6GaDHIxARjFZmniwwhkGwz4Kz+hBCIrx0IMzzjAcbjM9Pe1NcYsRc3NzpIlECt+ntrfWiOIYZwVZJ6ObZVRmjESTRrIGTLy0lTUObQzlYIgUkrQ3RW96iqoqIYIojtHaYqwgLyryvGR6ZgYlFVGcNAGhstRknSmklLXPS0qlK5x2GIzPHpaWrJOQdHxm9HC87cG3blYzsGjutxQSBCRp4mV/IuHHaOlw0oMdBkNnqkNZVMSJZ1p5bxGDEFHtETOZFrXWWO0Dp5FUOCn9ODOuGU+wM2M4BDsD2BFFUZ1lrWvZIT9/eANrkMLirCNKavZMWXqDeClJUy8NF0kv5Wa1H//OQiQjVOxBkSqvyLIMIkGaZX7+sI40kWwPR3SkQqVTxHHKuYur/Idf+w3OX1xBW0G1sk1VM5K8/pkgTjLvLeG8XJtSkuGwj7WQZRnCWTA1SJfGxFHEq6+c4U8+91Wmp7vMzEyTpqn3VGrYOp6Rlefe9yPtZHS7XRYX57n7+HHuuvtBvvmt54jTFFeVJFGMiYyXv5HWy2UZTWxhsLVBFkUoqdDW4qz2YBkWnAZrydIe1gqkUIz6AxYXFxHWYHWBHA+ZVg5z+jTLyyt00xTjHLnRdLXhUx/5IESCmalphDF005TF+Tle+87LLCRTnH79NFZFnFu7RCElFzY2WF0ZQLdHNDWDUB3itMvKypD11Zf4+jOvcvjoPI89fIJH7znEbBKjdJftwxUzczOcP/ca6TAn3RDcNXOILO6w/95jzN5zD1964TU+/50X6A8dU51D9Lcr3ugUPPSJDyO3lvhX/8M/Y38c8f2Pv5/9vTmqwYBDdx3i/ofuZmNjyFe+9AXiLKUoRqxubmCxLM7NkXWmWTl7EacNUZpQmoo0UQ0A7OfYGuBDovBSds5Z4th7LBlrqLTzHkfSIlV9n7XzwWPhcMYihZdrDNnwYSHSlgdyOGzdDwPjJJSGBSJFDaT4VwFTeR+vAFBULbDSNSt8/5dSCiEFeZ43yQGNR9OuYLKUijhOkTKqJRMhSVKsrf27pPTSgdrQ6fbo9wekSQYJ9fzmmSMWRxrHjMoK4WBmboFz585x/ETE0vkL7Nu/j81Nz8gwOC5tbjI9v8Brb5zmyLGjDMZDYl2SdlO6nRRdVZiyIFESa70MU6w8AC2AXq+HUorN9Q2qsmD//v045zh3/ix3HT/BiWPHePrppxkMBsRxzNzcHIePHiEvC5aWlzl/9gK/8Nf/Jl/43J/SSbyn1JauENIy7G8ihWH/wgwCQzfugDOQxJRGYF3Oj/zQ9/M//U9388K3n+Nj3/MJHrj3Xi4urzO3uI9//au/yuOPPUg6NctXvvYNfvAHf4D56VmK8ZCZXpfxeOQZhHgvJKVSLBJTGMrK4ZSiNJZLa5u8fuoiZ8+v0h8K5vcfAyR5WWJwSAkGg7WVf2MRNeiWeF8haSucFURKQs1KkbXHG8JzfV0zpzs8U7AWlKs/8l1K1ovxGowTttaeNRMIxfmxMwEZ1WWgt+97PpEmUsFw3vr6LDgnydIeSewB9+2tAWmakmUpQnifOc8uVk1CzbVktNrlXUmtd355O9+bbjS4e6U41R3z7v1WDIfdY+7NHPN2ARvfhfPCHctuupOv9Y0E19/EMfb8/c0Wt+tnCDq6nZs0H4m6jyiBifBeHp2aKdIV6I5narjEAxfXAiWAxrQd5YEMG3uWiKlq9ojx2eLBuH1He4OUVuy9RQJDxUY0JuvtQOrudlzGArmei7XrfNwen+3Y62r37ir73fKyZ7r3tY992de72CJKOiJpSZQhjWpfkcs8RQxS2NqgvX3abtfPN1OutHebUzL57MaOdf2JDVff/8rt2b3VO6k093Ov/r8HHhiYIqWLGeqEraLD2rjHxqBL3k9w/Qg5EqhCTOT1WqyFyXGufl+ueLcuxzavXtqH2b2ecHf24wnYfdFusgL8/L9rGmxKe57dPedeo9wQMPJLv/RL/NiP/RgnTpyg3+/zq7/6q3zuc5/jD//wD5mdneUXfuEX+MVf/EUWFhaYmZnh7/7dv8uTTz7Jxz72MQB+9Ed/lEcffZSf/dmf5R//43/M0tISf+/v/T3+zt/5O3sv4K9R4ihCRYKy9C+qsfJyTIPRiLRmDwA+eGssVjgKXUFtvK41GFOAw2ea18GOkKnuWSY+O1HFPsgx2O5T1SwGWWd/ClezKp2rg5X1q7ILRulRY14c9M8HgyEQvAqos7B94F4I51kvbpI1GyRtoihq5KC63S5pmjbsCo+WTwKbjS9AI6NSa7DXch7j8RgIXhkeCOr3+1SVD9omsc/SDFnAAcRoe3sAzM3NMR6PKYqiAX0CACKlZGtri6qq6PV69Hq9Jiu/qoGLNE13GOcGWaHA6miyn5ssYlkPquDdoYjjiCjyWate0sPPDr7tEXEMaZxirSHP8+Y8hPDSHT6DOvXgTZmjpATpWFtbI80ScGBMjrEGgSBOEoR0GKs5ffoNL5uWZkRFRSeb8tdKerbReDyi2+kQR4rxaOgDlUrRSTM6WUZVecPlKFIYo4ljL9XknGHf/gViuUheFGhdoZKYmakpRtLfu9mpWUqtGQ8GCGkgdlSVRmhNoQ26shgNU9PTxPX5AeRFgRA0zBAfMC18YLCT1SwD0ZIe82OpLH0/K0tNVTmyLPE3rZ6coihCKom1FXESg4iwddZ5ANcCS6cZn1WFqUwNUk36TQj2SilB+GutIumZUnFU12maOgIA54EBdVlAtR1MDW1RaiI7FthG1loGgwEASRLVfRDKqsJZ1+wTjhneRPy4q2V9nKMsSsoiJ44T0iT180XN4Jqenm6CeSpSFEVB2ukiVEpvdj9FUbG1PeDS+iZfe/o5onSO++4/gFARAoWxlnycMxgOGY3HjIuC0WjEeDxkMHAgBVLIWoJt6IFMqUiimOHA+yHEcYRUfq5JkoROp0u302vGX1V5uRpVs6lklAMbnL+4xunTF+hlMYcPH6e7vcHy8hJR12d/bw+GZGlKUVTosqDSI7pZh6IYAQrnJEJalBRoXZFlKUZbBqMhxgjKvGCq22O4tclMp0NHgCg1H3nwfmY6GVGqkIli/+GDnFtZ5tDxE4zKEikUbzz/LR5/5GGWTp7ikjFUl7ZJ5g4xX46xaczC8QOs5EPmFzsk8/Nsa8PXnv0ONk8ZltDrztDJOmgHF5Y2OXvmLN+e7/K+hx7g/Y8/zr7Dd9F/fcz3Pfk9PDjV5fU/+Tzl8iYmH/Lqs2tMjQtePbvCG+eXmTt0gGI0RqmI9XHBnz73Lb7whc8wNT3Nhz7wIQ5lXTYuraHPnebeYwd46NH7+JPPfIE/+aM/4Ctf+QrLG5tYXdLPxxw7dpiltUuU2hLLCCOgshojfF+WiB3zcpgvPaBZ0ul0GplEnDexph5fRjvvcRUSC4SkKCqssU2Gu7ETJsfEf2SncbSA5vMwn9uaMSD2kLPaDU4GkD58V1Zl83lbvnFn5r5oxr1/dormGlg3kT50xmCEZ0D1ej1OnLiLV15+tZ4HvEdEWZbEaYdKVxjjz3s8zsk6HUajEdPT0yjpn51nz55lYXHRt0dJhJIs7Fuk3+8z3ZnmiSee4Etf+CIry8sN8OKcQVeVf+5IgaifqSdOnKAY52itGY1GzfP8tddeZXpqiqeeeornnnuumac2NzdZWFigqirOnz3L7/zmb/GpT32K1dXVup09tjaHTE2nPPTQA14ioJaoM9oH66M4QiiFxPE3f+Gv83/65f8eXZbs37ef02eX6E5NsXppi30HDxHH8K3vfJM/+fyX+Ks/+ZcoRjmD4ZhOlmJ0Wd8T/xytSs1gMGJtc8DF1XXOXbjI8uoag6EFkYKQGGc9oSRSCGMwru6r9QuaNw8UXt5MOJBets6Bl3cT4JzwzBTrJhmg9WPIy/vZ5uUWBHKP1bNnqPi1m8KD9TgQV4jGtftc++UqMKpCJmu4Fh7wEECQEa2IYlXLt9Vr1jhG652vS212yJU8Rt4FR9455U57bwJu7C3cXf7+vaPH3qldUTT/u8V13vpqfZ23qa3fFUXceedzp7WnLm/Z2Lxa9PGmyx6TTRscqb/bkesga3Pz1P+rpgTVFOiumAASkr1lq/Zqeqt+EwGuZobUa4NgyC7spE0BIHENUEPjN9KAN7sDdXsc96rt2n2drrXfHse6qiH71cqt7kfNPW5FNmFiKH49zJMAatT7+GQT7y0SSdvyFdGk9b9YaSJpiYRF1UCK2BWVDn+314+3Fmrc+8QCc+PGSDeTtl2TlXCN9uzmuog3Xe9bVa5wb67U4NbtnOCwAu0UYxMx0ClbRYf1YZetQQ/bjxEDhRxJZOHBUWmZyEHV9TWx/hZy23iHXO3i7ZrTrrfsWe+NdZ63p9ySNopr1xWuaWvT6y03BIysrKzwcz/3c1y8eJHZ2Vne+9738od/+If8yI/8CAD/9J/+U6SU/ORP/iRFUfDJT36Sf/7P/3mzv1KK3/3d3+Vv/+2/zZNPPkmv1+Pnf/7n+ft//+/fSDOaUuoKWU4CqdppqqIi6ySAY5QPCWbKQk1eMr1Yg/I9S0Y45wOkBjOR8nCA9ZIJWdYlz3PyShMpL5ERx0kT2DDG1Nde0tb+s7VfQmBTGGMoilpL39FI7ABNQEc6H+QJ/h57+VcEY+ggBxICYVIG2ZIJE6MdyGr7XQRJkgDWaDPRxC6KomF4WOOzWsNx2vWEAGqeewPnqampxkcEYDgckmUZWZY1DI2iKBqgZbeRdftc27rzbeN1a63XZxcS67xhsJQKKSNM7bniY3CeIaCkD2oLoTxgIEQtg6Z2BBGNqSirHGMtnW7aBPPTTkJVGdIkI059BrKPhTvKaoS1lu5UhlIJnU4PXTm2+zlxpABNmkrS6R6bm5soKciylG63i7OWqqzIxx4Y07pEuYiqKtGVIEliynyMM4bp+Tli5TOhq6piXIzIajBpPBoxGo09WJNKIpXQnZ1GSsmoqBiPcqrSUhQlw9G4kRULfce5iKIoAUEUxcSxv/ZFWfjgVH0fiiKnqnQj/dTpZBijLzNCds7L15RV5RcXgkb2JgAi7RKk5RowsgYrghRa8P8In4djtbPHg25/W5qk7T+we9+2znubzRSuCfhgc9uY3fch2YAuYV4JbfAgqanrsAgVeyZQDaSEY8VR7BlkpQcGQ3tNvU9eaF4/9TKrl9bZ3OozLjVJ0uHI4bux1tM9nfOG8swzYbdJS56PGQ6HjMf+52A4JC9KqrIkH+eU45wiiohVRBTFpFlGp5eQJN4vpCgKlldXGI/z5t43oGzq73mv12NmZoa773uQY8cOcu7UG8QXE4phzur6ClEa05Vd+tt90lggdYxFUhW591nAt1kbS2U8C2hcFfS3h4BAqYS4m+CnZ0u+tUUSKX78qe9hVlcU5ZB9hw7w6sUzHF+4j44Zkc11iPOY8faAA90uYntINzdcuniB2ShlsLqMElA6TW92msF4wMd+8Pt56eTrPHLvw6SyYnHuIK+9+gbrqxusLb1GOr9A0ekhVcTaRp/P/9nTvHbmIg889DD79t/N6ukzHJyvcHlJUQxIpxbJOgt86ekXWLGCe+66m/XRFkXRJ68KkmQfZTWLUBl/6Sd+mg+euJuvf/YzXFxfIztnmV09yuEjRzly7BDnT53n4fvu4XhRwfPPsT7qo6uK9c0NolihhX/bclHUABptjwwvI2W8ZGT9WRhboY8HoNw/JCw+Vd/LO4r6Bc7fe4nWtnl+tRlX7TEGotb2lTvlqmrtJVc/d8O4awMjYXyGuT7U3wbHdweF2+PXj/+dUl5KKbC1l5NzoBTCWXTl/TzuuWeG6elpqkqTph4ETtMUHZ6lUYSqfUuMMaytraEWF0jTlLNvnGZ5aZn+YMDx4ydI05T3PPYY49GYTpqxsrxCFEUcPHiQtUuX6nE0CawbY8BJIikZDob0+/1mfpqbm+PAgQOcP3+e7c0tXnvtNQ4dOsTc3ByXLl3CWsu5c+c4ePAgQgjuuecerLV87vOf4/ChQ0RKMez79Yhfd3gTcSlFDUgI0jhFO9DWsLW1yVMf+xgf/tAH+dMvfo3v+cSPcN+99/LKyZPs27ePL3/5y7zvPQ8zMzPPZ//483zsQ0+wb34Wpbz0pRAT6b6trU2Go5Kt/oiNjQHbm5uMh32KfAhaeXlQKVDCS/lIJFqAdD4JxOKluATK8z2cwTmDEaZ5VQM1+V245hkz6U81A6mNlghRrxl2vuoFmTaBbD4XTOraDdzt/jv008nPWk611TfD+PDP+AqtHUrFBM+RsqwIXix7AYZt2bm9WCXvlju/3GnvTU0k6Qa7056b39Ev4Vdo3Jtt800EMa6nzttV13fFrHGH9LMd2fh3crndbWyCTm8BmCdEyIpovnYA0rMyXCTRqQdCqu6EKWJTz9bYk6VxI+2QrQBqAGccLbCEyQYhCHe1Y+41Pt8kKHLFOvYERdye319/aUWCb6aOdjDzBoOk7RC+qMGLkEg8AUUcsTIkqqKjNB1VkTbeIhZFYIq0b9z1HPd6t7z5GbftSXK9x3StXwQtcOmmyyS6314X33kxd3eF32+k1DEjJ8hNzFbVZT2fYmvUZTzoUPVjxChCjgWy9GwRLwm9d1WBreGc8P3Ltcbd5blZOz+40fVYfVN21LdraN6RZY/zvel+1apr9znvmBNvcP6/IWDkX/7Lf3nV77Ms41d+5Vf4lV/5lStuc9ddd/F7v/d7N3LYK5ZSV6TOAxTGWpy1CCkZ1X4TABbnJWbwL69ZmtWB0zo/UUictbUhrfT9yoE1NAFUhCTrdLFCIp1AW0tZ+aCmD9z6bZzzzAMAh5enMnh5rQmTIwR+Zc0CiWuQxDZskkmGbPtsHVpXLcDAB6GLIm8CyyG46VzQSq9lUKiDr9YDCmXlA6VJmmCtYTj055BmHozpdDo7s/Xr0s4CboJrdfDIy1HFjeyWUopOpwNMgtPBp8FLS9XXqD7fcH/awE34u82AUUp5+bFY+sxO5w1YveyPDwhJGflgn/BSLLbWtvdyLtZ7gAhHVZU7vCwAEJIoSiiKHGudNzOP63Y573FCbdorpCQfjel0M4z29yeOUzqdGJxDIijHQ6amu0x1Ym+EHcf1/QLnDKNhgRA+KKatptvp1LIkCqstBs2gPwRqbX4HAkmRe4Ct15liZmraM4FSBcIyznOqyuCcxFnReOFI6RkLeZ4H8ZHmPjnnfTF0YBKI2ki9AboE09NTjS9G07eEDzhZ67POcd5fJ0n8+JsEe0I2eAiq7gyuhvtsraXb7QITD47RaNQwrkK/CGPTWktZlg3AIYTYwUwBak+faEffaoOEoa+3M9MDO8ubWsvGRL5dAmiyO4M9imKsk6g4Iq2BKCm9br7Rupbiy0k7GWVVoVSEkIpzZy/ywstnOHdxFUGEFRKlEoqyxKHRxvqAn5gwyXwQ24F0OGdI05Rer8fi4iJFWZIXJdZ49kdVFF76SNsmQD4cDlhbH9WgVx3Irp8iYYwH74a8yBmNRlRVxaHDx/ihH/4eHnvoQX7z13+L/WVOb7rDydMnSZRjqpNQuAJROSpjkJFAG+O1e63x/hZZF4NhPNL0spQkyRjnJU5JrIKN/hYffPBh/txTHycb9hmfO0vcjVHdmKP3n+CZF57hYx95klMvn+TY3H7MRp+ejVh6/hVmprrM9jqgDWOhWTh6iNX1JaYXMubUHJacg7Nd1l5+gffOz7O9usr3nTjKylSXS4szuOlpNpOEUWXpX9piOBrxysnXefXcOe4/fpz7ZqY5d2lINn2QYmzYEjEvnF9htbKIrMtw1KcY9kligVMRa5trHKoO8r4PfAiXdIjmFzj48EOs6yGjfMyZN04xNTvP+554jMHmJqPBBvOLB3jw3rt47exZNvtbSKU8Y8p4vxDpJGiLkjXIzwRkxtEwJjqdTi21WDXMCism4zHM47Z+hlpL8501xhtMY5uxu7u4em4ViMvGpnOukbQMjMX2nN+uoy3TGErbg6Q9V7THmx/r1Nn5NNt4RqlPTMCBNZYojtna3GRzY4NHHnmEF198aQfAU4xHngXnavnB+pqFZASllGcRxjGdNKXb6bBxaQ2A/YcOUpUVK8vLzM/OMTU1tcNbKBzDOAf1M1pIwfnz55s5fHt7m8OHDzMzPYNC0O/3McZQliWXLl3y8pRRxNLFJRbm59ne3mKqN0WaJJRFwcKhg1hTMBpW3HP3XXQ6aS2n5qhMhXTUq3e/1kmTGBUpPvWpP8/Lr5xifW2V/YeO8dKr3metKLwc411338fz3/kmf/L5L/LXf/avMhpsgYqRmAaYiJRiqtchTTKmp2fYf2g/R7YOceHiCpdW+/T7OaPxGJz3fymMQ9S+UFJERDLyUllW4qzDOIGTEVZO1kLOCc/QdZPXNBH6BcLLLApXJ6j4ceDZo5N+EfqTlx70L6G2fiUVV1g9X4m50e5vvhnhZVvsAOSVEkSRQpuqSSSJ4wilogYAbNe1V3mXJfLOLHfae5Pv4gEc2eMVendsZ69Yz+3qire7j99qUOROG5PXas6d1t4bKW9z0y8bKXf6pbyN7dsBitzK41wpqtsGAOq/rRK1oboHQ8pp0FMCE4OLwfo8iyu37yrt3hG7awCAVtvE5LvW8uKGj3PZ9zcBilxx/z1BkevY7xqlXgVxZZeMq5SwbLthUCVElcM7gJuAIi2zdQ+MGBKlySJNJyo9MCIrYmmIagmtyTrtetpwvdu9mTLpcQ1r+gb23UsM6822Z5JE5G/YnTnduWY5s7tcqb074BQHFi+jNdQJa3mP1dE0/UGHspHQksjaVyTkXe3ov7v6tKMGR9r3sYUqXQYw3QzAuPv47XJn3qid5VahbFe4dg0oIlq/30B50x4jb2+pTSxlnU0nFVmWMhgMiRNRy87gsxNraRmrAxIqCCa0HgBQSOEDx0GTXEgfZO0PR0xNTeHwmuhVHRCFOjgqBEJqjHGNvE4UReAgUj4zdHeGewBClFI1e8M1wUrvhbDTcLPNsPCBJ9kwSqIoyE1prDVI5U3kg2m012r3bXW1fISKJJ2O1yRXkaylm/yxQia8D2SJywLPobSzGQODJWTUgzecDAGycG5hfyUl2ppm/91Z/+2AWLhm4RrEtVxRCChIIRFIIiUbxDaY27s6qGesQUXUni8SIb3EmjaaJMmwrgZ+jGE0zOvjCoqiREYR2vgAmZIK6yROgyBCiARrBGkSkxc51hb0pnrkoyGJlBhtyEcDqiLHmhKyDgKBMZZup0OWJLWPjaTfH1CVOdPTs3gflo6/R857mljjKMuy0aUv8oI48uyPvBhRanwWDQ5rRW0CbLxZfK25r7WmKHJUEtUBt4o0VSgZkaVZ0+dCH24DUz6QI2vgzV9jJSVpljIcDhtjeQ8wSCa+Aw5jvASXlKIec3XwsgYO2pJpIYArhGB6enrHWGsDGqEPaK3JsmwHuBH6Zxv4CH0ogCYB1Avnt5sF4iWIgsybnyt0a+yHPm2MQenaLyXxbIw47YADXRuLa22xxlAWZXNuvg3KgyLnzvHst1/g3NIWRnht8KLURJGpbUSiGvDzT0LrTBPIEziEtTjrpdMCKy0vSor6+NZaxsMRw+EQUwYGm/f5oA5sOlwjJ9NcqzrTvKoqpPEm1lEU8+rLr/HpP/gij7/3IaI0ZVSM+cQnvpfHlu/ly1/5Eiv5CJlIhI0QzmJKjclLFqbnUEJQKaikIzeGuakpIuFZX6OsYnM8YlTliETwvic/RDzbxdgx8/ccYW5hhuXtNeb2zRGfF2ycPcfRTo+lbz1Px0UoGdGx3i9qdv8CF9dW2XdoP+vKkBxe4MUzr/PoY4/y0jPPcnxmEXd2ic6MJl9eQ29s01OCdCZj2LEcuucA3alFynWNJeLUxbN889UXePH1V1hSKSempjgx02OcLnDy4kXWTUTV6TLOt9ncXmN2fg4VCSyO1dVVNja3ePjhh3n1jVPs3zfHvvvvprN0imrLsHbhIpsnLnH06AmOHjvA66++zqgo2N7uU46H2LIkVpJiNCZWCmEFzhgiiw8EN4HjSd+qatZgr9cjSZLGADyAmsYYlGuz/zS2Bi2F8Klw1hqs8XJTQkms2WmS3jyjnPcSaQMA4aeUslkIhfEykSRqG8JPngft58z1BKVlDYDvyPSvmTRhD1vPT3lZcubMGTpZl5npafqDYQN8SIGfj2vJu0p7STGfhFCwvb3NeDz2LMgorudyw+LiIpGQXNrY8DJwgwHra2sIIciyjOFw2MxbYcFWGT9vBSZgkiSMx2POnzvHaDDkwIEDaK25cOECc3Nz3HXXXSwvLXtQTHjQZKbX4fjRo/T7fcbjEZsb6+hqjNZjHnzgcY4eOYzVOUJ6lp2AmgkrakaM9/t56mMf5UNPfJHf/YM/5qPTs/zg938/n/njP2ZmusfLr7zGY48+zL79R/jDT3+Wjz/5MR556D7yUR+cxpkKZw1JEmEdpHHE9EyMiCKOGcuD993LaFwxGnu5v+3+kOXVVVZX1xiMCsbjwss4mgiQOOvngjSK0MJRUoNIwRsED8RB6yW9lcop8IwUFxhRztZ9vp3lKDwo0oAq4Gpvkyu9k+5mjOzuk5P1ywQc8WNAIIRnNYXnXFkWXrotjunU8oV7MR7fLe+W21KaF3qxExxp5ld3+fa3vU1vEShy5SF+g/Xdpva2A5q3tN53QsRk73JHeY3cSW25Umn6+s7G3vKnyq2+FlerrwZNgjxV8BOpOgLdo2GKNBJWV/MTuYHmXBYS3l3XXnXfzIW+YhuvAF7vtc+ugONOQOQKjbqea7NHIHPCbbjRslc091oHb+/uCGxhhJfPkmLiK5JFFVnwFpEVqapIhCGumSKNfFbdluZ95wbL3jHZNzvCbvTaTPYLQMatBkhoat756R1TroCl7i4NkEmwmveCu9oqChMzKDM2Rl3WBz2KQYodTEARUfuKCOv2HEbN8BA7P3S75l8vE7w7uWJ3I/f+6rIvAuay1xxwrf3f7rJrmXnTo6au50rD92ZAEXiHAyPWQV5W3lhVKRCCvKxwKHSd+ayiuDbMriiLgliq+gXbT+q2BkU8S8AbnjvnZbAcPrOxyr2Z66j2pgC/j6glGpy1yPqlXSlFlHiZGokgjSN0WbYCv9qzDYRqZKiC1IWrA5JxbThurMYa2wSrHD5DXKpaOgUDArJOwmg09qae0pvIjsfehLzT6TQG6G0Zo/B5yK5vywqFQBV4I+S9snVhEhQT9X5KSYz1rIo4imoWTp05LPBGvDgqo4lFhKwnJmcdFoMzFhVFSOkD7oTMUOvZF15P3HsymDqTGSZmqEkS1wCNa7L9/bUFY2AwzOtAVUykEuIkQkaGJI7JawN5KSXWaeIo9mCKksSRQhtv2i6kRFjfNiEE3axLVeU4o8lSidZjhoMBVVkyKh1T3Sm0NczNzTI/P49SEcPhiMHAy3ChFFVR0Ol06fS6OOf9P4qiwFiLUMpnbRuNs444SX3fFo44TdkeDaAGbIqywGKQSnkzZRn5mJDwQc8gn+bq2SJJkjroKHdImUHw4NG1sTPESewZS7jG0FnWjJyJLFlgkpjG+yPUpZTX2Q99W8qdfSgcNwRWA2vEOcdgMNjh6dEOqLZZIkDjodKW/omiqJHKCiX0+zbwFhg9oR0eRCrqcTHJAG6DReE4UvrrmWXeANpnqQvKomoy5OM4Jqkz97U1FEVJHKdsbvd5/dQbbPe30c4yGPfZ7G+TxBlZ1qXUmjhJPbMEiVT+evqgc80aqZ+Orp5jSq0pi4IizymqkqIoyEdjz55RCoEHCdtArFKeCWVNLfeDAefnVVHfR+ccRZGzvLLEH//x53j++W+zuH+atY1lLl44zY/+4PezMJXw//43/5aNzS2iOKO/scZMd473PPa4Nw0Xlq1Bn5XVFbrSm4LnRUmJphCa0pXEnZhLFy9xbnmJJ973OBfNkLVhjhYF0/vn2Vhe5j1HT3D+5ZPMzB9iykkwFiss+44d5OTyOR67+0FWI83sg/eytrXJjIOV5TW4NOKQTln+xovsS2eoii1i46/DzP59vHD+NO/54JN8a+UNkkhQbubMzezj+554Pw88fh//z3/9r1kuDNujkjPrQzAlhY4QUcJ4NODSxjk+8tEPMj01x9ef/gYqzZibW2A8znnqox/h9ZOv8MLrL/P9T32IEw/cx4tfXYOtgjPPPsdi0uG9D9zHmVdeY3NtGe0kVZnjTEVZVZR5Ttqb8nOx9WyM0lZYMQHPPTswgJnxDmafL34l6eUCVb1u8CbY4AEOhZzIdDWjxj9zTAikSR9harxB2CmV1WZ2GGOwxviViqmfLXJSt3NeRMn3RQ+eCikhBIkbhtRklaOUajLy26uf3aCNEJ5hOdkWtjY2WFlZ4vjxu9Bnz5HXgGVay+eFucPLgdUZZlIyGI2w9Ty6uLDgQSoHg+0+p0+fboDdza0ttra26PV6DfMtjkPygatBHE0l66QEA1VRYrVla3OLTtbh9ddPNQbK6+sbTPemOHL4CBcunCeKvLTdcDBkeWWJ/Yv7GY/HSAXKSgaDEWka0e2kDAdjlPTsFOwk+81ZSyfrYKxAxhmf/OSP8pWvfZOV5YvMLiySpSmjUY7odcgLzYGDR/nWM3/G//xrv87f/+W/R6QLMJ4Zp6sC4QTG+WdklERY57BYep2IXidCqh7I/WhtyMt7PUONiOFozPr6FktLl7h4cYW19S3y8RBr/DNDSYW0EhrpNxBC+uQW1zqfsHZxePaQDBJVEqjXUYR1jO/N/mVJ1K9JsgZLdmUUtvroztfhwPJwNegvW2ujST8M/c9ah1SKbjemLCOGw379bMua/ry7vCuh9W655eWyoNoeb45XAkhuW7lG8PE2Hea2lVtwnFsLitzKyt7ackeCIndSm65U3jL21Vt0MWpA00n/WmITb7JeztTSWbXReWOwfoua1cQgb1WW85spVzj+jtk6JCHt2OAWREtv2fm7vYPBIalkr+MILot+itpjRApahuuaTlTRq5kimap2GK4r7CQngAnTIiTUXqXFb/utfztLW8TunXgddoMi3lNZYJykdBFjkzAoMzaHXTa3u9CPUEOFyj1TRBrBbqLRZQ/o3ZjWHhcqXL09r+GOTnYdiMGVMLRdiRU3gfm9deXNdqYWOCR2XXvXfgbc4HHe0cBIkqSoKPWAgPAvkVXlDZCryqBN1QRabZ05GmcxWpuG6eEDLt6wOgSOTJ117oOkgkqXTfZh8MqYyGMEc1hJFCkfOK6DUVZ7CYxhrSHupbJ0E4QNgcYo8mbOO+VFXA2WCKQLclH+Gyn9S39bCshaQ5zETRb9zMxMfd62yUZN05Tx2AdH0zStNcJ9sKkoih3sjkb2yrgdL+ftLPxwjaLEy0MNh8MmO9lai4pUE6gGH4zW+OB1HMfo+jspai8QU2vK194tPtP4cq1vIaCyXpZMSFFnMRsgbgLaSvn7JaRo7ous7x0CKh08NvASRfjARpZl5PnYS9ZUpr4GGlHLcfnIT436WjDW4WyJBXRVUBZDOt2MA4cPYirIsh4rKysIJKNRTn8wIC8rIhFhRcX8/CKVsRjn0I1PgCVKEzoq8jJxdXBSRr6/IiWD4RBqxoW1ltJojANQGI3XLleR98ZoBSwbBpGSXkILS54X6Eo3Bs2j0Yg897JJ2mi63Q5pljbeM/7+GpwTFEVgOfkAX+hHMPE1CP3eOYvWFeNxTpJkRFHUjKfwLxhIO+cYjUZeOib2MmSj0agJHgWwIzBHiqKo/XVEU0+32/XMiTxv+kXw1AlASQBCQjuttSRJ0pxHrbbS9H0czVian59HCMF4PKaqSg8K1pnlHpiVDQslnN9oPGpYMs4JSl1x/vx51tfXyYuC/mDIRn+M98zZJE4SkqSDqOeMEOSOY0Uax0RR7cHgIpz1BvdlWVJUJWVZUpYF43zcAFxJMhkjQvjxgbB4nX0fuFa1N48QHnhxtgaQcRhTMh6VFPkYXXUZjVY5f9YyNxUxHm4ibMF7HnmAD73/vfz7//DrDIclnaTHg4/cxeLsLGujPtvVkE6iuGtuke2NTaqxRmQpVScmL0eYkSGTMYszs5w9fZonv+d7+KNim7VVzfmVFcrVS2Tjkrg7RbeCwcYmRsBYGEgj5g/NE5ttTp4/x8ETJ3j1zBkO7zvA4OIq93X3c+mZ1zg8M49Q0wgr6TvD3JFDnNu4xEMHF5kpRwiluOvwUbYvrjEnUvSli9heghAGpzUy67G0NmDVjlmYnvIyYJubDLZXefLJD/J93/9x/m//5P+BkDEzna6fJyrD01/7GgcOzrE93GR5bYWjx46x9tJJypVVkkt9Vp59gfsffQ9PfeCDfOHpZ9kYDMnHQ4yU6KokrWXZtDEgPBDt5Yd0MxaMMehKezZXzeAKfVxr/7kUE3kiWweCgySVtbsYHD4S3YwtYf2xm78BWqyOCbC+M1hsrd3BVmizENtgYwBkoyhCUIMZYidrpD2XeYYZO74L7Y6iiKooqarKM5WqCiUkIpYsLy8zNTVN8ObyMlnrJEnctKcsS4yuvIygNRhryGLPcMuyjPX1dZTynl5JknDo6BFOnjzJxQsX2Le4yHg85tKlS3Q6HYqiQkWRB7mNIc0yD2YIwYGF/Qgh/LZZp5HEc87R7/c9SDvOvVdVfewA7r7yysvkx3IWFmYpipzpqQ5SzHL3iePk+Zg4iRHC4axp1tJGG7rdLvl4RBx3KMdDPvLEB3j80Yf44leeRqqYv/LTP83/59//B4xxPP/8Szz10Y/w4AOP8oUv/Rm//4d/xI998ofYWF0mTYLDqCOWCpTA1qbssRJYW2HwbDZXz93T3QgpEhCKxfmM40cWeM+j95CPS1ZW1zn9xhlOvXGa5UsbjAqNsf5+aGNqsF/h6n6sosj7lyhVJ4/4uVc4AUJOABAmuW8NmFYzRJx3dMdz5a/0JrFzLQITNmLo66H/79irZuf5OX/yHJqbm6MsS7a3t5vnXJvV+K501rvldhQHO3SvG5LTnuVt6IOtl9nb+k5/WYrnraz3zZXmvN/CNt6x8ZM7ZBq87J7cIe264XIr2/0WPqNC9q+NarZIJtCpwKTgYoFTbgKI3GIAawc4sle9t2Lw7Bl9fxvSv2/0ODeDGoR9HDsfQNeqq2W4LkXbV8TUbBFNN65aEloeFImkN1sXdWQ7KCTsDFNf4ybuatstxN6ueLhwnBvdMTzfb0372tfnqouFO7bUIbumBHyjsBEDk7JZdhiMM4ph4pkiY4koJLL0gEgARQJRaU8A5Gpzw65L2J5L9saX/fvIVZMCrgHmhW3evOfMbS5vpju1p469wNTWzxtJsHhHAyOVcXj9INFk+VXGoqsKhwU3yUq11iIQjIZjDxYYXRsmTzLlO90uuqrIam+MqqoQShInCQAG5xkgld6hox6CT3me+yC8dRSjsQ9gJDHdbpeqKkmSGKUylJJUlTe8TlMfmMVjHf6Y0jXAQ5CYCgat7azgtvZ5eKluZ8hPjGl9xvpwOPS+FHXAZTAYMDU11QTBwot48ERom9+2fUUCyANedsRVBmMcadohmKCXZVVntEdNoCCKvAG6lBFCKIQIdUa17FcCSMrS/+6Dud47JWRrTsAkD4JVlSaOEwQwHA2J44g0S2qZIEOnk+KcwTmNFMoHEoWgqmWZQsA9jVPSJKEoSjpJl7Is0YUlUcr7QhQjZmZ6gGMw2CaOvKxQliVYUxFHKYnosDAz58+biMFowLnzp+rgnyKKI7JOl6yTkKUdirLk0toGURL79mqDiiLSNPUyZA4GwwFVWdVBfo3Fy3tZJ1BRVCdfe6AjjjzI4BkJDll6f4Fwb+M4BuEBxUpXDAYD4sSDE0p6QKRhWcQRc/OzrSxW1wRNwdbAmfKZ3jW7xFrdGLuH/pEkSeOpEuTi0jSpg+6T4Gocx83xQ5Axy7Km747H46YfBq3/9v5pmjZeN1XlddzzmuEVzr0doE3qMR2Ci2E7oGZxBdkTfz3TtEOSePBB1sDd1tZWc70r7Y2OPdaqaj8S15ijKyVqUJHG92E4LhBCsryyQllqz1QzxrM7ym2UTFBFThTnJGmGMR5QTOMYrMCZgihSCARWS6z1QfFSe0N7rTVCejk/XXmPAQCnDVIIpFIILNZqTKWJErXjAZrGae0vYYiUJJYAkqIoGY8HrG2cZzpRvPfh+/jej36Qj3z4AxTFECkFP//Xfo6f+PN/kYtnl/njT/8JpoTNjU20rOhFCn1xjbun93Pw3vfw4rnTvLC1wtikyE7M4uwcaeXozHZge8zFMxc4eOAoyyvnmZtboKO6iJV1ivV14jhl25YcfuwB8vGA6QP7eGVpmfc88QS//R9+jZ+472FW+hd449VnWRAJHa2IBg5nx6SdHkt6SN6JkUdm2JYjvnH+DR554CG+87Vv8b73vo/hxW1mOlMsraxzbjQmuetu7jp4nD/84z9hZnGRxx59lHI4ZGPtEq4Yc+KuQzhK/s//4L9jcXofT33Px3n2uRcROEyp+ezv/T5Pfu9H6XY6vPzSy9z9sY/zwNG7OL+0wYKO6L90mpdWh5z4wPvppSmnl5dxuEamTsqI3Gq0BOsMBkMmI4QTDSjinEOqiWNkFEWMx2PAZ6UbbVDSf1nkFUrS+FsF/yC/EqQBkj3Y4epnqqpZjBOz8zBO234a7aBxIzEk/HPY2ApHkIf0zExtPKgXtrfOAwjWgdU7GSLhOdCWHQrz0ATkNFhjGyDTVCXj8QiHZzQ6azl18iQPP/oYCMn2dr9+RlVNfcYYkjSh0po8L1lcXMQBBw8dIs9zXnvtNQ4cOEiapszMzhI8j/bv38/8/DwvvfQSUimKokQpn2wgrJ8TyrIkiRNwsLZ2iV6vR6eTUVUlwTS9qiqwlqQGV/1zzUtmdrtd9i3M0+mkRErR63ap8jF0Y+46cZz5+TnKqiCOJDifKSeEAmmJaz8yKQVlkSNVTNbp8Nd+/r/km898m9Ggz9bGGt00Y2N7C6UUeaVZWDzAiy9+h1//zd/mh3/oB6m0xdqKWIBw3rtGWYepQQSJ8kCr8BlaLtxMq7G1N5iUCqQiihSd2YT52SPcf89hSv0EunIYA3lesrK6yoWlFdY3NhgMcoZ5QWUcpdZs9QcUY01UM+usU75eHLoGhGIl6uQDsHbyphLYvs56Bm6QZt0t59Z+RoTPJmxH5yUP8SwXIcL3olm3TJhV1CCgX191u122t7ex1jI1NUWWZTuAkTDG2kkpcg92ybvl3XLDJeCBd9rL8+0GRW7X2d7Kdt8uUGRXuSPDXFcKcrwNZScgsuOXd165RU0PIMVtL7uO4eTEW6RKBSYBF+FBkav5idyipjR9YXeU9VbXuzv6epXzuuzwraD4jnp3x7dvpqFXP/KVy45j1i3b3Y692nUFsMgbrnsZrUgZkkiTRp4t0lElXVWS1cBIJAxKWLwnyV6nHsLkVy5v9Yh3O27W9bcjnEkI4N9agGTSnpsGbW5xO661zc72iQaQcHi1mtJGbFcZG2WPfp6hRwliqJBjgaio5bMA669puMBXPO9W197x2R6bXXYmu09JhMXZFaqqv77qPQigQPuzO+2Bv8fFuKF+tQdW10iLt8CRGzntdzQwMhyMSNOkAQSs8x4MIRPc66j7oI+sGR8Gh5ISJaId0hpC+ozErNvxxp/WIIVEV5o4iYnjhFJrqqokUhFJ5METrSsf/FQCJVOkEvULeYSSHhjxTBYfFPFZ7mKH4W2Q3xDCNYEVISZSR2UtxdXr9ZrAcAg+hwBvCBaF+gIgEnw/gAZECeafIWgdRVEj+QGTgJZnS7AjsB6CTwGUEVJSlBNWyHg8Jk3T5sW+LeHiA0M+8CTw55ckCcPhsMXWyHcE19pgTFVV9Pt9f29F8JKI6oC0pNebmHaDNzwdDvuNB0Wn02mC5VmW1gESS5Z4iRNjTQ1KWaR03i9CCSQGJcFUPuibJo4sS+h2Z+mkHW90bi2bm33W+tsY7fuftpa0M0U3zVBJTJ6X+ExrSaVhXGjGeUUqvQmrSr1p+2A4JMpz8qIgqsGAvCwaj40kikm6Xf95UeBasi8B7EmSBJxo+kgIJGprKCsvG5N1MkajIcPhBlO9qQZE8UBF5LNz6kBMAEPCeAl9K4qS5j5D8HgRO3w6gszaBNRKGyPzkMUeAvkBYMyyjCzLWjJddkewKlyLdmZ7FEUNINLus+G82j49bVAlyGW1vUlCsEsp7w/kGSY+qBvGTAArJ0wrz8JQyiGQzYPNmApjqO9NQlX5/p1lGeM8ZzQeMRoNKQpDHPsxobXPc64qjbU+kGetP2+rDZESqMizqwAEMTjZ+KBUVck4z8lLny1vdImxIKzxLDAJkYrJEoUQClnL6mlTMj09jbWGIh+hlPey0GVFPy8Yj0dEUtGd7vLQfUf58z/yAzz+0P2cOLIPhGFre5skSRn0tziwbx9f+/xXWTl3gU7WwxQFnURihjkPLBxkQaSc2LcfETkWO3fxyuYSpy8tEeM4ODfHYGWLufkZPvvpP+ah9z2EVAmdKOXu/cdYLl7i7BunefJ7P86zr73EJaGxc13SxVlmtaYYjPjA/Y/w2tPf4eDsHFILorIgy6ZwaUTfFtz/+KOceeNlHn7yCV49e4Yj99/NN7/4Vd5z4gFOTO/jmd/7Yw5O9yjSAsoKW2lefP4FvvKnf8r3PvUh9h06wLPfeIYoir0HkdKMXcVXv/kMc7ML/JWf/hkefuRRDIY33jjLcHvASGtWLqzw4OMPcvq1lzn7+imOpQkdBKwPWEhTtscVX/+zr3Nu5QJOSZw2REphrENbXbPGaqaHkBjn/WXC88wnAUyCuLuDrCKq2R/W+lx6J4iiiVF0kKXz5DSJsLZmkfhtHZf7gkzmibq4IFPkdh6biSl7kNgKgEwY/2HbRq6OQH+eBKd3sEpE7TUmJhn7bbm95vnqDFktcVlVFbqqqNCsrq4SxymdbqeeoyxRDTL7JIMCay3dbsZwNCRSEWsb6/V8IZiZmeHAgQMURcHFixdZWVlhOBySpikXLlyo24NnbOY5ZVFQVpWfp1WEsH5eHo1GpLXUXlEUpEmCYMIKDO0J12Y8HrO6Zjh+7Ajdbhch4PDhw+TjAVIJ4ljV848B59lgUnjpS1uD3FKAivw8VeYj3v/4o3zog+/jd/7gsyRZhx//8z/GH3z6jxAIvvylr/CJ73+KDz7xUb7xzT/jX/zLf8Xf/lt/nfXVJSpTEktJFMdEKiLC4XuXZ5sJ66XSAO/7UsuwKfD90HmZttIV9bn6bbM4Ju1myNmMowdneOLxh7BCkpearcGIja0BlzY2OXPuPBcvLLPZ36bSXsqxygukiolVhMEDLKLuT1LuAu2cBzXCa9/NsjVCn29/Ev4MzxSEl+5ydXTJOcv8/Dz9fp+NjQ16vR6zs7NNHw7jcfKcBdPyunq3vFtuqISUW9jxZn2nvS835a3ISr9dQMytbPtbcZ/ukJj/RAbjDmkQ3FFNuWVF3JjN8+X7s3eHvJXXqtXvnQCnBDYSHhCJhJfPutL4vVkQ4OpNmdR9C+u9anXXex67sqSva9trfbbr852h8RsobcJBMy+2Q+ytDVxIpArf1q4QIvxzSOHN1hNlyJSmG5d0VUVXVWRKkwpDJCyRsMjaX6Ql3nsHD+edCNbk/9fTDfx1awfbA0ByK853t6TWLR5e192K3a252pbNY2QXWuGQFDZiq+ywnncZjjPsOKrlswRSe1BkAoi4SaV7ARLXuiCt7y5LRrkiKCgu/6j5w930uuXO7fu+3NA5XSuxR4T1xPWf9TsaGEnTDp0sa3TJhZQkiX9h9JmXugEZQsA3SSKkEMQh8F8DJcHMM3gZhEBP5jl7SCFJIkVaSx4URUFRFqRJShLFIMILsIcLVS3zYWp/CM++iBvwQwgaKRCHqZkUl2fBKjWR2QqfBbNqL6nj2xICxSEoNJEYmRh+Ak1gJWTph5fu3abVjT68nciiBEAlBJGDaXwcx430Vain7RvRztQP/3ywxjUgT6i/zQYIQbO2xFgURcRJTFHmdR9IsBaqyoM1E2DGG1SryGdXxrGiKjTShWxnW7M0NHEsscaiazmNcVGS53kNoMU4UdLJYiIV0+1OYY1jOMwZbI9Yy7cYj4taikPQyXrIuA72W4OpCopCgxTEUeqzfeuBbJwj6001DJ6qNkYf5wVJEmOsZXpmdiJdFntzXluWdXBHomtmjJSSNE6Jo4kcR1VVaOONhKXzLAeEZ1doo0mjlOnpaeI48SynWj5KKoF1FiUnGdplDX61WUVV5fvOpM8FWaqobtOkL7kmo30S0Al9MwR7ej1vQtupGVtA0zfC9u3gKUwAjgAoSimbekLfakubhHEUfrY9dtoB5HAMD8pFgCZSkQe16oBsYMdYa4mjiDiO0LpCa4OKfbayEH6e8ei+Q9dSepWuiGLVgEJ5WVJWFmu9c6Bw/pphHQ7pdXU1OCHQeL8bayxGeHkaW/sRaa2ptKasfUXKskBrQ1nlWOOII0USp3XfdmAqnKuI49Sz4YzDlEOKfOzHmoro9jLm5w9y1933cOzYUQ4fPsyRw/vZt28eaUryUZ+iHFFWBUkcYypNJ5viG994hi986Yt0sowkjrFlSVZoDk3NcffBI1y8uMTQjTl2/3EyPeaDT72fZ154nnyYM9gcslw5huOC0+cucOKh+zh25ARLb7zGBbbIOzGzD93N86tnOfrYg3zrpRe5/6GHWH79DGqsWR6vMyszljdWKcYFXeUoVMmaGvHAU+/hM1/7MqkaMXf/UVa31jg4N4cbjHnf4eOsfudFDs/MMRKCzBiKqiKZnePM9iZ/8vTXuee+o/zv/7f/NfloxPqpU5w6u0wpJYWyDDdWee8j78eM+mxubjEa93nkkXt55eXnObh/kY2lVZYurnLXPfcyN7XA0oUljh85isMQxRFCxZTOcWZpmYGuqOIIJxUCBUZD7fshEUhLPZF4ZgQxTd9WtdRVALPb8lY452UMpQ/KKimAuGE1eSBtkt1ewytNtMI5s+N51B6fja+Hc3XfpfGBEMKzXNoMjzBOtfZzsWPiZTNJWpAgVAPIh++B1vMi2vGca9rRkt2SeGDG1PXESVKvDSoWFuY5evQYDz74AJ/+9GcaJlwbULXOYaqK3tQU3akep868wb333s+oyHnt1Ot0Oh3Onj3LaDTirrvuoj8YMD0zw+bmJgcOHODSpXWqskQJ6e+5c1htkEqysbnZsN4mYJOj1+0yGo0aRs9EBm/yjD9/YQl1THLwwD5UJBHSceL4MWIV4Zyp5csACw6DRFBoLy2GcN67SnlJycim/M2/8XN8+4UX2Vi/xPLSBWanpzh77gJRnLC1PeDI4cNMTy/wB5/+I/7cj/4QBxZnsZVA4bznWugXwoMNqp7/nROI0Kecm0Q6hGteXoTvMFhXg/2l8c/6egMvmRUjnaAbW+KFHgcPzPLow/cwHpdcWt9kfX2T7a0hFy6scv7iMqXWOATGWpBRzeJTtRfJ5IWbGoiwe6zK2345excv4XX516KV+OXCZfHgiIgI7NfgBxckTre2tpienr4MoNnNZHm3vFveVLksQHWnFXHVP9+SY96qKt5ktdfKQr2l5U4BJe6AJuwod8p1uUXllvSp23U52sH4EFAUAmpzdaeuEg1rRxBvR/T2NkyXl4Mj14RLrlqueG/f9Nx0I2ndV3i+7L4/uzcV7FG/Bza8fJb/FytDqjSduGIqKulEJZn0viKR9EyRHYbrrS4jQsqVuFaAvS279VaWyQWZiH656wRHJns5/Lr6zYMjk3pD33y7QBFB+x3jSiW0l10/vTe0dYJCR2wX3nR9OMowY4XMQWrAigYUafrMtYbj1YbsHvNRuDd7gyJ7VzPZ5yaufgtMueOeYjfTqD3mkTrfbJJcEa7TDdT9jgZGEJ4V4PBGwsJJcAZtLFr7IH+SBCAg8qbFdSA1sCoQNNmDIfgQxxHOgaszTMuywlrnszIBcKRp7LeztiUxVAefnEMaHwT1TBRdew0olJIUZUlVlWhdNR4L4W5GKsaIiRSRFMJnJGtNWZREcYy1E6kqaxxlVdbBn7gZl0ZbpFRIIZvsfGtsneFeewe4kDUqsNYRRRM2CIQg8iRQ3DaeDt4JUk1M5xu5Jmg00ANg02YbRFFEpCKqsmzqLYoCoMmODfuEwJm/39DJepRlQVV5vwqlDEJ46SIp26wA472Bnb/+ValxWtDtTmN0hbUVkVBYKpzVSGGwWqOUo9sRzEynpFmCwJFmPawzjIYlq6urDIclVkviuIuSMVmaEseJ1/2vWRlO4GVv8hIjJVVZsLhvCnDESmGcQ1mBUhH52Gf3SymIYkUcJ173PorQVVXLsHgAIVJB8saQJh4McbE3RFfC31sTsq6VRDqLsV6WJU0T78lSBzVDgF9KicMSRQlKeU32dgCurX0OE7YG4IEzH3Grgz3UAUpTM6cmgSHfj80OcKKqqh0AXgA+dkvyBACkzbRqB2fbAaPQP9vbh3rCcUM/D4HV0MfbWfbtcRCkw2w9loJvz24my8R7J/LnaiwIQaSiSfavBItDmxIERHHsg79YnHFEQtV9BKwAJSOk8BJ9VanRlUZKUWdg2x33q6wqjNaYGnw0tsJYg5Ky1vu3COFIIj8HKGfI0tgzomyFwnD42EHuPnGcY8eOcNddJzh08ACdTka349l0RZljq4Kyv8YoH5JmCdpYOp0uaDDOsLx0ic998YvE3S5GW/JyRBorDs/M0cGxxYijH3qQZ159kac+cBf5SxfpFPu4f3aG3vETbOcln/vy05xeXueF115j7tA+PvD+h4h7U5hYkndi7n/g/bzxyiuURc6BpAvLm/RKzdbKOmVliXvTfm4xFb35aYzrYLoJLw+Wufsj7+EL3/gyP/iJH2L59DkvwzPW9JxisLbOZlkwc2CG9dEIm3Y5v7nO7335Sxx/5F7+6s/9Fb7z9S/xnvsf4713PcjGuQE//jM/TbQ/4/c/87ucObvEvYcPcfrsBQ4eOcixE4e5+54TnD+7wsGjR7lwfomzZy9weHGO4WDI5qCPnMoohMWomHUqhpHERBmlNmjrUM4ig1+C8cCDcg5vuLATlAjyV+35tJlD8XO+c44wbJ0N4yIYpdfjz4Xlp/D/tQK/Ye3XZLDXAf1w/Fqpa8c4dc42K8t2skIbqGz7lIQihGdfhe3DmJatZ7mfZ3ZLd00C32mcgPNsOXDeRwRBr9fjyJEjHD16jI997Emmpqd58cUXWV1Za66hrtcEcRJTFgVHjh71Xh9xzMFDh0izDFEU9AcD0izj2PHj9Le3KcuSRx59lG9961n+8l/+Sf7dv/3V5jm3b2GBzY1NjILjJ45z/vx5er0uznkDeIdjPB6hlPR+WQIQEuVk7fnjpQHiJGFubg5jDVESe+mwOGZhbs77kuH7jU/A8N1FCIUUAu00sfDsCe8BJdneXOc973mUH//kj/Av/tW/4+tf+yrf832foNKGra0tvv70N/m+732Kjz75cf7Tb/9Hfut3/hO/8PP/hQdv6+tlrGsSRYT0c7cUEc7J+vbXjCbp10wNPiIFCoEVtY+bs0gHsRT+uWQdlTFgKyIZoVKFE9L7OQmYmu0y043ZP9OhP8hZnJ2ml8VcWF5hbaNPolJUnNTqq7I+sq3bVPc9AcLu7n+TFXXo76G0nz8I27BPGmyoZjFNni3tN63JMcIzKPhpFUXB1tYWnU6nef42bLB3gZF3y5soIbt6Zy96Z/Wp2wbj3OaxdUvafZtvVVt+4t0yKe67ed691ad2nfXtjom3P9td1w55lN3173W8vYLv1ypvFie+kf2uCdzcolnuloIiN7tPvfbZfa57/O1Ezd1tBfOb+KYAIbyvSKxaviJRSTcq6aiSTGkSabyEFrYBQCZB9NsZ0J9Exl3r3G4FILETkrieOidsk1sHjoT2tFvyVhR32e83Mh3vbqVztZSWiRgXCcNRRjFOELlEaQHBbJ36lbVJ5GpVtseph6D8XqVZ8u8O5NeXUVy28ZVP5DK/jFZbrnpZxGQc3o47d6Vp+Hp3vmGj+FYX3NtDRFz1nlypvKOBEaXw2e3W4rA+C1qpWmZEE0XhhRJwPlDsJRtqO04BUTQJroxGw0aCy9aa3FVVIIWgMpos69SyHHVAX0oi6c25q6rysj9K+OADtclmmiCV8IEdq+vAvSBJalNc4WV3hPB8UOsc1jiiNG4kQ4q8bPw6BD5AEKlgEBu8VGo+qRBIMZH7CRJhE2NQ/68xRneCKE5wdXvbngvWWqRoG9xOsngnrA6LVw3yxwxeDkopxuPxjiB6O3hs7AT8CdcuSIcFBkDIAA6B6ZBdX2lDpOI6k98HH0TwlBFBdgkiFTWZp1VRESmJKXPyfIyQFi9v7zNnO92EOIqJIkgzhRQecOpv9+kPYDQqEMSUJeAS4jjDOoWuHFoXQAHS90nrjA/qyIg4SlDK3zdBDdjICF1WWGOJlEAbD8qEBUFUMyuE8+3GQhRPQKJEJSR1P5VCkiTeO6Qoy9rfwiCkzxRXUYTEX8MkTRpWTZZlAA3LIoqjRrLKaNPcw5Ap2wYkwmcewFHg2swQV98zh3MTSTdwTd/TupbIca7Jjg5Z4GULLGub2baZI6F/7M48D+BmW44ntKedhR76WDvzfEcgtT7fMAaqyjMqtNZUZdXMF8HHJ4oiH2KrAZngTQIgZGi/BzPiWFEZD5JqY5FK0q0lfKSESEEaS4SLqYzFmHqucoaq0N4AuvYvEa0ntRC+rdoGhlW4D95PxDNVIrI0aeasuZk5bDmmyAdgLZuba/yXP/u/4Md//JNI4YiUJIo80ygfbaHzbZyzOOtQOGIl6GUpWjiiNKOoDInIAMmz336Bje0hY2vIlCRViuMHD7Fvpst4vI2ZSRkvKLLjc3zj+ad54t4HOPnM0wjjsPOL7Lv/AY7dfYzTG5uMqpIXXn6Zhx++myjNGJucQsEbF85xcHE/yy+/xn29BVZOn2c661HlBhFHbI8HHL7nGBeXl+jtm0VIy90P3cfT33qGBxePcnB6nsHJcxwwkktnL5HECVYpulMZy+NN7nvocS4sr/LCqQt87TvP84GPfoj9h2fQow2mlOCzv/17nHz2DB975P08dvQeDrznBI8+/BD/5l/8K06+9CLHDu/j9OnzHDl2hA8+8WFOvv6bHD58jJOnz7K2vsHRA4t0k2ku9YekC/OIGUXp4OLFs6wbzUgqjPDPL6NtzQaowWtrfRDZWs9obMnKBYZS6ONlWTbMydDXvT9RzT4RElwAFbzng3UCTBhjk0iJw9XAusPuAWw0jA08nBJKeO4KJsFlrTXWmBpQ9c+u3avd9rOoLZEV6gysyeBZ1J6f/BhwCLxsmMCRRDFG+AehkoKpqR4PPvggWlu++c1v8tTHP85TTz7Fb/z6b9YsvQjhJMY5irIkSVM2tja5tLbGPXffTZTEbPW3KcZ5c9yNjQ3OnTvH/gMHWNy/jxN3383M3CxPPPEEg36fl196mUhFxFGEEpJu1iHLEsBLNKZpiq4qjK4oivEO2b9YRciaYeCBJg/cHDl6jDRNubSyxNHDi+w/sJ80iQHP5JBC4pTA1X0CqbBVzYqLFE5rMI40icnHff7G3/xrfPWbz/LKq6e5tLLM9FSXjY11Ot0er518ne/9+MfYf+AQX/jCV3jyQ0/w4SfeRzkeQdMfw4usg+AnhWqSQCRuskgXtQ+cq1/g6vlcAlgPYFskSIeE2vdII/CSqFL4JAkHJEIy04lQNsbNdRF3HfYJH6WmP9YI61BCYqmzwZCIOi0svIyHftTuf7v7Y/tZ0TCTWs8rMUlX8uut2kvHPwfD6t/fvziOG2Cx8fiKIrrdbrMeawP9banKd8u75aZKnazyjgn1thp6+0Ixt/FqiF3tvlWHul1NvhNAgDugCaHciHHrO668TUBYO2DVBG53tKPVoFYbm2XF7iDlXkDDXsjL7So3OjFdqc17lat8d8Xw9Js956vtv1d7b+p47cgmO/tD+7v6cym9fFakDGlttN6NvKdIV5VkUpPIilgYJDUbJCRj1TVPVma3r1s0XA13q6fSndJa19eW1t7Xh6jcoWXCLH9ztfiarBMYLdHjmGqQYEYRUSURBjAtQKTeSbS74lXAkclGV/k+bOP2+P1q5Ur1ttdH11zX3QwCcY1yheque83TAjduChzZfbC9BvkN9Jt3NjAivISMN9R2xLEiTiIS4zBWE8UR4AM4UikvneRqhgQeTHHUGe145kcwWPZSQhJtKqIopsgt/e0tqqqi1+uRxBGmqoiTiKryGu8yUsSRxJk6OKOkZy1ID1w0wQwmL8NQxxLqAGu7hKz24JnSNp9OahmQoigauZQQAIZJ8DgEVYDmhdx7GASQRjXH0GaSuR/qCAHqIL0VzLFDe43x3hBBDiqAF2099PAS336ZN9obooZgXshsDtfXezqYxgg3BJ2qsqTb6Xl5DOdBkWA2X1XGM2GsmLBqFHS7GUbnLF18gW4nIU0zpnvTdLtdlOj6DM28JIljBoM+/c2RD0wZS1VZ4k4PJboIoUhih5AxWlsf4BcC7UqM9dJTDoFU+AAWMQaL1t6bQmtDVQXvBn8vBZZISrI6S9iDazFalziLD46YOvhYg2A+qBajtWcD4Gq/AcQEGKnvf6Wr2t/DS8Z4ZpBCKVEzRlQj3zEeF41mv2d8+L7kpeXCKtSzXAIDRDDxown32DOTvMdOFEe1mbDb0bfC3yGQG+Trwt9t0GN3/23363YWbRvI2S190g50hX+h/++W69oB4Jl2oJVmnwDiNYEspbBSeCDDWao8b6TyfIDWND4j1hkvlYVFSsHi/n2cPX+BsjJIURFHvr+ICiq89402FUY7Kl1RaU2D9hJAnrDsm5yHn2v893GkiFVEMR5TOkeWpUx1MrS0pMrw3Lef5a/+lZ/hp/7Sp6jKnKIYUdrKg8dS0M0SpISyNAgJWZqhtWczRXGKLgxKpbgo5etPf52XXj8NUYIuB0SdjA+8//0snT2NmJ4jm5tl/+EDnDx5kifuvptv/+lXkNkK+0rD5vY2UdYhX1tjYWqKhfl5XNzl4tIyy+eXOHFkPy8+9ypH982zfeEcb6yeYqq05FuGbmmJpGaq02HLlCTzUwwTSA4e4GJ/yNziPBdPXeRQssDSN17lg4v3sPTy64hOj1mZMtQVfWm4572PcPKFFzlTCE5tVDzz8hu89/H388nv/R62Ny7w+tPfYn72AF/74tfpRnPM9mJWz71Gn3WOPnAvf+t/+Tf5R//gH3H67EXiNGaz/zmSNGGYl9hYsf/IAda31imrirEVPP3qy2R4P5loaoqVYkypFMYJD55K5aUDHBgslXA44YjqRbe1FhVNxpVS3luizeYIY8YzGn0/MU1f90CuUpMgr9+2bS5dj+86GA+eq4TdmX3VjC03GUuhPrMbPGmBku2Ac3u8O+caA/b2d+3x7OcsuSOb3/9eexsJgTMe0PNMSUlZFBRas3bpEm+88UaTof/cc8/xUz/1U/zYj/0Yv/Vbv0UiQEh/DBX7c1heWeHAgQMsLC6yubXF1tY2kZQ88sgjDPsDlpeXybodjh4/xsrKCvv372d5eZn777+fz33uc8zNzTEYDEiShP7mFhfOnafb7VKUOVGsEMI1rDBjNHk+mZed9VJYSim63R5Zt4uKI9I0YzQaMxgOiNRBsiwjUhJEhKzBTOG8Mbhzfn5XKvKAa1mSRPVayXlG2YF9i/z1n/85/v4/+L/w6isv8/0/8EP0BwOGo5yz5y7y/Asv8RM/8Zf59V/7d3z6M5/lkYcfoBPHlHqMB9dkLYFWg1h4oBxs/aLYimoEs/IaiLPGNuCN97CSWK13PONCd4mEQ0YKp2TNGpVEnZSZToYU1PsdwDnJyTfOsz2qQKUIfAKJb4Ov1z/e/DNWNF0prNhd+y92fuuaTSZ9WTTvVO1+e9m+bjJmw3MwJIp4tnLZrKvaz6zdzJV3y7vlhsvuYP07rbyVwftbeahbCIr4QPJtug53QgDtDgBobgug9V1cmut1XddqEtVyOxeSl9cXisWbImv/0+t31sBKCPzuDgBfL0ByMxPim5lErydQvdf3LQBhr+9u17zurlTzrRwXewU48RJaUjqi2lekE1X0oqJmi1TebF1o4tpbJPiShMTBHdXd0BW6+raX38J2B7yVd2JnBHj3ZbrWfs29a42FO386m5xlAEVuts3Bq9I6SeUUuY0pqxidR7iRgkJCJRpQZC+z9avF2Pec93bjfnsBti1Q4FpFXGseq7vdtaeVq00gN1EE4K44O1z7OR7eCd2NJyHsdU0uw61ucE58RwMjCG8cGgkv3xTF3jg1yEQpAdpahIQ0jRnnBmUFMlIoK70MlAsBGkcUR/QHfS+7gQ9CGWMYDkYoqeh2O+gqrg3fJVp4E8w4UmglUdJPxLo2wo2TGF0HJ31GePBZsBRFQafjM8XzcQlMMmnDS3SQP2lLWAVJqmCoXhRFE4Bt+4UE75Fgvt4OOAdz6jRNGY1GjMdjpqeniZKkCbBabZo24ybeJAGsCYF3UwdYRqNRYxAfjLTTNN3xQh9e8r1Hig9OxbGXJMvzMUopOp2sCS4YY+h2u7V5tg9eZELUTBfPCAEwlaYsxjhnidKYohghpAUs43FOHM+Spo677lng4MF9yChhvD1iMBzSH+ZUZYXR0Mm6jIYj4jglS6dRQmBthTUZU7OzlHmOsQWVNgxHI+IkRkWKTtJpzqkoC8Ax1ZtmOBhT5JUHOmqGjAcYQnDI4qzFmgpbe09kSeyDeUpSjHN/DYdjqpqNE4sYXfnto9j3l7IsfPBO+fpHo9EkGGkMUeT7T1XpOsDmWRtBTmuSpRoyV8MY2gmSBQDCgy8WMOjKNMdq+32E/ijExCdkPB7v6AuhvgAyOOf9T9pgR1seK/Rhrf15NKbEXtgexERup51BH0DFUNpjIQSMw/dteR+AqjITJhO+PWVZNoybAL5o7QHacO5xLHF2Ul8AKKx1KFmDos7LpR07cpRTr79BVVZ1Fr4ikrVRMpZKO4w2OKsx2meSC9l+1kicm9ynelLzgT/h+4AuS0rnAb9O1iEfDnj11ZdZnJviwrlTfN/3fpz/1d/+rxj0t1AKup0M5+I6E9t6ANr4fmudZTgeIaUkqefKqe40SXeWP/7TL/ONb71Af1hwaWWFe48e5Z4jR3Cx4vD993Jh9Tz7D86xtrIG22MGr57jMCnLz73K9FSX1ArGG1tcKgxH3/M+Hn3Q8eVvfAfp4NzZCzx8992kNqKnFanssLa9zHTWQViDTGOKWDJ/5CDrq+f5wMc/wue+8hXuPnYf66+dYlp0WDp1mmpjmxmZUG2t0dURSsREUylOauR0ypmq4MSHP8J/+u0/5dWXXufhe+7hz33sKbZPnSLLJAwL/v3v/s/IuMc99x1iVG1T6A1s3/Dai0Mef+9H+ZEf/VH+X//jv+D0+Uu8fnaJ4ahPmiiWlpY4fuIY33rmGZbW1ugcP8bJtU3KQZ9ESWadRccJ49JgaxagcyAjRak1ldVN5r8xePC+LMlUsgNocHbn2N0JGghMLWmH8N4LSnnW4m6QIrDvwn7Sei8KU5t5B2nKMA4aINNasBOmh3M1a4EJ80MI0chTXA0Y8Y96/1/o16419sqyRKmIKJoAO4HpEoAjUddnjCXLOvR6Pfr9AcY5Lly40Dxnl5aW+J3f+R3+2s//DV588UVePfkaQgmiOMJUGhkp9i/uY2Z6hjNnzrCxsYHWlocfeoj1jQ1iqXjgoQd48aWXWV9fZ2FhgSiKmJ2dZWV5lRdffJGDBw6ytbHhJe8qzeb2FqWtcMIzvLqdDjj/bA9rBqhlLYXCe6p5ybrjJ477a4n35ZjqdTl69AhFPiaWGUkEUigvdyi8z4exGoc3XhcIjIU8L3zAXUl0VbJy8Tw/9skf5E+/8AV+5/c+w4svPke302FtbZMD+w9x6o0zzExlHDh4hKefeZZvf/t5PvaRDxHHKThD4+mBq9s7kZISIhixC4T05uzW0cg4BsTAn1O93lUK5bwfG87UczFNokkUKSIpPZtX+z4y1UsxtufXTyiMtZy5sEZ/WGIAiWwtmGv+nQvCA5O+6Ekuwj+3L3vr8cWB99TZJacVxs7u/t2W6mqDke1kkvCcCwB8WZYYY+h0OnsCLe+Wd8t1FSFufczmrS5vEyhyyy/ZmzgNdzsjW2/z9OLugDZcVu609tyqcgvP64bvm2j90jwsW/XtftwKn7sgjfPmyEZ4gEQKXE05Ebv3u51l70yJy8stBlYvO8z11L9XVPdK+zVx07cACPEHol7QTSLgYWUm/L+GLRJ5tkgnKunFtYSWLMmEJpbam62LSRLuLWvqDVV0ex+wN2eC7te2Ydvr3+/tLdfnJ3LtEnAOjWJsYwYmY1ylmCJC5BJZCKQBYW/xFdkFjoTPAhawC++6atlTdmv3sdrVXatOwS0nj9x8qRtzg+25EsukRdq/4efSOxoYscaRKB+Yc86RJRmbG5skSYJUEUZ7gEAKSZlX2MoipMNUxmd4G2+arKQikgl5USARLT12Vwfr4/pF1JJmMcZU5Ln3Z1CRQkYRHdUDauaHqDNzpQI9maC9KfjE80NrSxyphj3g5aJMrfHuzau9JwRo44M/UkrSNG0CTmma1nVpWt66+K5QAxtInHC4WmtcOEeUeO+IOElJsg7GarSxFKNxw8w4cOBA48XinKWqSlQkoPTHS6PUsyaMJcsyH7zWliROqaqKIveATwBhgMbw3ZgKhyYvCtI0I00icNDrpBRFhavrrfKSSEVsbvax1jI3N4sUtaxXDSgksWRmvsvm9iVMtYmuxkSxYnZmmulDC3SyDCmnsW6B9dVN8rzPcFhQFpos8/4gUlV0Z1OMKyiKERsrayRxB0SCESX98ZAkjim1v+9eKkuhpM/k1ZUhVglxLV22udFn2B+iIi9RNT01xWA4QCAZ52OMMUz1prAYjNPISHiAqPSSLKWxYB2b29ue6WQs2mqSJCWvxhitiWK1SzpKkXU6TdBeKUVCQhwlreCk8rJK0qegdzs9xnlOEkcIKRvZr7IsscZBJPwM4wRJnCKlZDQa+eMJnxGsIs86yosxSZKQpEnt/6Ioy8p77RAADu37ttqZ4b3bO6TNfgKa8xTI2m8DysJn12ZZF28+7pkZXhZM1UFR2fiIBP+b3YEpa3yQUGsviRfF3tOjqjSdrNuAdLoFugRAckfbS//olUIipKDQBUGiyDo/11jnMLZAxTHOQVWW9LoZJ44dxVQFXnUvZ3srJ4lTnBOkWQJDn4ldliVSBdCr9MFNa312thPEiWfAaGt88FRr8vGIfn+bfYvz9KZ6bG9vMdXrkkSKl195iR/8ge/lf/ff/DdsbW0SK0E+GnHp0iUcjoXFBdIso9AlSnmtf3+/PWik0og4yTi/eonnnv8qL7xwCqMVWsP3fd8PUJZD7n/8cb797e+wMH+AMV0sU5w59TqdSrA9KFic2k9Fj97MNFoX3hQ7jnj5+RfIphdIypzNUc7ZC6usD3Luu/9hlp99Bre6ypxIGI/GFBEcfOBeTi4tEc13cHqK5XGfRx56hPzsOvd15slPXuCIk2yNC7LYQaxgcYaNNGb2+GGiasx7P/IEn/3aNzj1jed49tmv84n3f5gf/dCHWfr2M3SziFUK/tMf/CHxwj4efPwx5vbv58CBBdZGGxxJurz8yreYm1vkiY98iB9dXuX3/uDTHNi/wL7uNOgxmyuXmO9NMz2zyBvL68weOcH0vfdz/vQpFvftR1clw7ICpNc4Ff7lxNbjRyLBgDHeO0hGEUntSRDVc00DqNcSe1VVNYClcw5tbR0YFy1g0PdNv1BTgN7hS+JsLXknBJGUCBdNXmQdKBQqEjjhJZG09ZxMJwAlweo6s0/6vB0niKRA1OC2tcYzUPyABOGNusPCP/gVOQdYzwTBAcaiIt8WYyrPHsDLGcYq8uHsutq0lsIsK4stSg4cPMLm5gZSxTz55Mf4+tefptPtcurkSZZWLvL+D76PU6df98BDvbJSKDDw+muvU1UV8/PzKFchrGN1eZnFhTm+/rWX/Dw9zkiSAwzHOVv9bZ5+5mnSbsbZC+d8EN14yUGlvEyUs47S1R4oUUQkBdZqpIqIasZpnHqfJocjVo6NrXX2Ly5Q6pzV8+eYyhL2758nSxNspSm1q8ErDxwLKYmi+nobD2BEUTJZM0hJJB0Ww3hwiZ/+qR/nS1/5IhcvnOFTn/rPKcuvcWltnazT4fTZ8/zUT/5F/uN/+FV+43d/nwceeID52SlMacBoosR7uBmcX2gGlo+cABIO6SW0XDBBF0RisqI1VkMNGgjnsMb3ZaFqlokTaAfOWKSKUElCVWm00aSJZH7OG5gba5DyMHEkeOPMRTYHI2SUgYoYjitQkjju4HRJXIOF1jpMw8yr5ekCcONCPqJsXlKFMB7426Fy5Zq14+4iqJkvghqkd0gRIZXDYGtWj5cxTdOUNE0Zj8dsbW3xzo5qv1vezhJm1e8abK0J4r21x3uzxTUBwDfZjttwH/3j7g7oIHdAE3aUO609t7jcMkDqOvt2c7wd6dRcuW/7DBeEEcgKZOWQlfDy6eFZKveINe7+4Faco9v7991VX3Ve2gvkuFpl1wJFxOTHVfK39667qd9de7sbrfdqJQSHd4AjbZDMIWq2SKy8wkEWaTpRRUdVdGRFqjwoEszWd3a/W+QpckMowu18GrU788QY/vq6dqtnOHbsdztx9rejuNYvgS3inKCykrFN6OuMYZWhC4Uo/XzidZZbgXa369/uciV06VrzTYj/73HjrnoP6mNds3ftcdzL6g2v79dz0y/HrC8vN7Je2GvNVl+QG1p2BCb/Vfa5mWfaOxoYCZnwSvkAcSfrYKb9y6QPQPoMvyADlaYpwSAzBDuDRnlgOwC138iokTQIwEVblsdnA/qM89FotOMYURyT5znb/b6XtKilPnygNqDgomlbW2rKOZ/l7jCtbFzvz2CtpTRlE5wN2YXe/4M6azbaIS0UGCKWif9CW/YoZMCXZUnSyeh0ZgBHt6uoKstoOGZx0We9DqptD4hk/jwTlSBiyWicN8BOnufEcUyn06EoCipdMT0z1Vwjr/koyLIMWc8+43FOnHh5i35/NAmAS88AKoqc3lQGOPKiTxoLxsWANI6xrkBXhn6p6WaKA/v3E6eqZiVoqtKytnKJ5ZVLSJVgtKDbmaGbLZJGFhUJtMlRkWAwGJB2U2bmZzl4OEJXcO78CllnCuN8f/PgREKvVwdctPFBsDxnNBxTVabpQ51et+k/m1ubNaCicc6QZQnGVozHVRO0t/W9T7IOCo2TEpQkEhFZ5hkSVVUxNTWFEI5+v8/s7Gxj6Culoqx2emAIIRrWjlKS0lQ+wJbgjbQLDzxFUWBfOOLEA3660hg9kZnK87yRkfKSUL4vBVAsMCd0LXMWgli4Whe+zoyNohghaWSsPFA2OU5gcITzmLAwYqRQJGmCqQHETqfXABW+bRkInxmuavDF113tYDsFxojWGtxOHxU/NkAI1cwBbW+dcE3DOGwzoQJTSyrRbB8An1CPchEqiugPh35uMYZHHn6AIh+S5zllKZmbmcIgSdMO47zyuvjGMDU1RaFLtrc3iaOozpi2YA1p2iHPx3S7HZJaXg5h6XYy7x2QjynHOQsLi0ghyfMRf++//W/5z/7Cj7By4RydOMIZSy9L6B47grEOISWl1gjhwVEpvESRs64Gbhynz57h3/5//yNpNkMSzbK9vc1wMOQ7LzzPOO/zhT/7MnluUCqjE0c8U41JKs2MkMzFimKrz3Svw76D+5k7fIhjDz1INDPD2S/9GQf3zXPvieO8fOoMS6urPP/qq3zy4x9l8/XXWbtwkXvvvovXzp5i+p4jrGeCzl0HePXiGT742ON8/atfZV8yTXl2kyPzi4wvXUIkiiSNWR8P0dJx/4cf4YXzZ7FC05fwwhtnuXBhjS/8wed574m7+fB998L2FrO9HmvDTf7kma/RWZzjwD1H+Z4fforllRUOHtmPOzciGo+5b26B57/yZT7w1A/yIz/wQ5w5s8Srr79K7EpmuxHGGFZXLzE1NcOp8+c5efYsq5dWSKenKaXACu9n4RettTF1C8QT9XPHx7m9P5G0TBh89ThqJBCta7GWuCzTvM32mLyXTHx4/FhpJfOJGkhEQNjPtWTqpPfzaB2AwOYSEqQTTf3tf1ADrTsah38Jpjbl3pF6M3l9czWLpC0NaU3wFZn4BQUG3PT0NFprtre36XS69Ho9XnzxJYqiYGZmhvF4zMrKSgM2Oec8qGktxThndWWVqakpjhw6zPb2NmmacubMGe66+zhb21skScyJE8dIsw6nT5/GOPjsZz/L9vY2g/7AJ2zUYI4NTLTmetPcMyXCXCjr531gByoPQFlLFEk2NtZ47tunkVR8/KMfZna6i9PaA0QeHcUKPDgiQUiIlb+v1opaXjTy86Y16LJgemaKwWjM4489zE/9pU/xP/7rf8+XvvwFur158vMX6HRnKXXJH//J59l34BBf/8YzPPud5/n4Rz+MKUs6WYIxHqCQsaLSmsiJhlEUpLacnfSt9orY1atZa70/VVtmdMIitM26rAKkNPVzyaFq6TEwTE95xqmzlhOH95EkEa+cPMv69gDpMuJEUZnAbJRY62U+kQKJ9KyV8NLoWl5X9csWIrCZ6vVm3TN3skK4YmnGX2uMTqQibQN4tplUw0H/yhW+W94tVysNGPfdEwh5W0CRN3HxbgnwcJtu3rugyBXKndae21FuCShyfZXsMFG/0i57fC4cYEBqhyoFLgJTb2pCwM3nLEzq2B28fDMAye7J5iqTz7VAkcvb4Pb+/Aauz44j767rmuf7FiZcXO2eOEDW4WzhEMKihCVR2oMiyktnZaokaQEiMsD+u85TcD2X852WbDLp2PWK84px+sv38/BI2PZOntrCWd2MP4qrE5h8spz/vXKKoU7YqLoMqpSqihCV8Oyzm+kCV0OlLkNo9/h81z5XXZftQLKu0abd5UptuNo2u7e9FUPkWnPZjRxDtHZq7yeYvLRd99w3Ke9oYCRN0ibwGYKrTUC4fvFuy/wMh0MOHNzXBDDLsvQB7dGo+T2ALO1gUlVV3hC9Dh5bizc/xxutJ3HWABz52PtvKBkz1YtxWIQIZrOmJUckvZFyMTGbFq2b3MkyhPSgRVVVOCuIIkFUZ+cHCREIJtPsuA4hiJ6mqZeicjuz8EMAzX/fpZP1sEiM9oCMRCIQJLFgsJ1jrUYIn92qlKQscwo3QqqYJI3Rxhs/p10fLB2MB14CwmrGxQihIFIKFSucMKxtbCBdRJLEOOvIkoROt4czGmM0RTHGOo1UUOm8ZlhZqmrovUOERcoO8wsdpqanUdIHudfWL7K2tkGlQYoOUmQk6QzdziGyTgRCMBwUbPeHJHGKilM2t4YkiePAoQWyLGE8zinLkvFQ0+3N4lBURYlAoVRMWHHleV6zFFzDSghyLdPT0xRl3oBewUw1ABtZlnmgq76/IcDjGUodIq0nhsaVv89teY3pqakdAfs0TRFSMa6BqSBl1fZ4ac+qSipk5EE1qQLzw48lY3Ud5MT7mgBC+r/DP+vMDh+Yqqoa3xtjjJc5q0GD4AMANAHX0I7Qvh0MjpZ/QGCPhD6vbUWVa6KaPeWcIc/L5tpJqRDSoXWQyRJ1cJOmzvBTCM+aEkwk7IJsCbSlz7gscBXOabd5fPi7LV/UNo4O8461hrm5OYqiaEDVT3ziExw/9jrPfvs5Xn3lNbQFoVIipej1/BgejcZEQjI7NY1SkrwYoZTEGljfXGX//v10Oh0fsO0mdGXHs4CEZGtrC11WGBextbXN9HSP/fv3s7ZykTTyUoCRtJRFjhKCNE0xRpMpzygYjcdYa8jSlMoYtM6JkoRD+w+wMDvDG2eWEGwyHhc88sgj/NiP/Tm+9a1v8n/9J/+EBx58lMFgwADLPUcP8uh99/KBxx5h6cxp7r7rGBcunufl11/juXMvM37jhf8fe/8ZrEuSn3div8ws97rjrjftp/30TI93IAACMwAWJEACWILkkrvihhgSY1eKlVbBVcjsh1VIX7SftLHUbkhLSlwuSCoIDuwMzMCM9971TM9te7059jXl0uhDVtZb77nn3HvO7dvd05zOjtPn3PetqszKysyqep7//3lYPXaSsrI8dfb9ZC+dZ3llxE5Z8qPnz/HOp5/AHlnhRZPz9gdPI1VO/4HTXN64wVJvyI0XXqa+usG9asilZ1/m+OgYO+NtTGIQJ9fQKiYfz3joscf40ZXzrJw+wkvXLnH2vrfw2U99ns/95Wd5/OS9/P2f/kVmGxtsmgk3qhmf+OqXuVFN+Ku/+HOcvfcMX/3q53n6qbeyffkCD4xWufSt73Pv6ftY39jm6g9+wOlHnuJv/sKH+X/98/PkRUlhKkQac31rg/vvW2OQZlx96WWyLOHE2grFbIZpCLd2zDEnsMNn7T0Eb7yNmGdUdaXj4ji+zUvqPNrCNKBuIALaLZxrJYHaz51/muvK0UFjMC0XZa66x2pmN93wmy4J031yCVJYfq0VrceRB6ybubzQRn9flmG9CnPdzdeTsNYUhc/KC95KANvb22xvb3PixAlu3LjBuXPnKIoC51zrYRWIUKUUS0tL/h6R5/R6PVZXVymKgsFgwBNPPM73vvcMFy9dYjKdMpnlbGxszNcA5ddJ28hs+nO1fo1tsk0N3jtDNX3s6+m3K3isEo4fPcHxo8epdcnO1g16seTtb3uK4XBIVeVEsuO5JEUrnSUEcx+qpt9QXqLLGkuSJEynU6RKGG9v80u/8BH+4i8/z4vPP8c/+I//lyAcz557ll4vZXNnzM/9zIe4dvUSv/3R3+Htb3uK1aUhZT5BqSYzpfTSl0IobEP8CBv8ThpyKLRTdBGNMEbnzzq7ZeFCCfeKdi9rqRtZyCiKWV4aIpQCpbBCUlSa6oULTAsv96iICD4onozxMm+2ed62GKQDrzTq2zQnQLwE2H6uH7uN0vf0G+nM+d2le4/0kp2qzeB6s7xZDl06L4pvNCjotuW1QnhE87+9Ih8PdYxXVl5x1smtyo8TWvY6teWm6/rj1CevVrkbpNhB1pYDAFbdaN/u5sIrOaNqcKW/GyPAySZD2KvQ0r5qivaxdY8KbtG2PRvU2Wyv/W/XfTd9vwcSug+K7/b6fq/t9tp/P2ZgrzXsIEPgUMPkVqOhGSzdzgzXXPhnLilBKe8tkkU1vagmU5pUGmLpPUVas/U9mnl78N8t/J7D6eEIh40iWBx4YRwLbh0ks3CEA9W3uNHhs0don2N/PJe2RebMdU7spqm8R7+Gt0bbIUdqq5jqlK2qx6T0xAha+DXFdfa8BbfoFpu153wS+31/q8/DkNlj8/D9HS3PjttmhtyWeDrAMe64dPmNO6hDuMUB4Xb9Puyz7huaGAmlCxr1er32M9FE62dZ1mZGjMdjgrdCACUDGTIcDhdAngA0VVWFQPpI9wYQDUbk4fsQ1bcIoEqssZgGADEmAKT+70jFnQhKQa1rXPMCvLE59ZGLQhIpRdzIGHU11Od1+fPvtr1L7ljnOhGIc0A6RMxL2US1m9oTFc6hpPekkNJHQ0qZALY5b02tvSGurSpUpIjiGOfmmQoB7I3jDGe97FRRlsymOdY5kiQjlp5cilLf1rLMiZWgqnIcNY6SWT5DmxwZS9IsZjhU9NMRo+EQXXtZpo31LZSU5HnO5uYOxkh6/RFZMgKZAjFVXbO1PSHLeljnSbOqMtRmxnSSE60O2dycoutNQJCmfYRISZIUf8tVbbaEMT5LaDqdIpAsLy/jGvAmSROENOT5hNpoRqMlD2RK4SWslM+CyYu8zQhSSpKkCUkzpuq6oqpq/1AgVXs9nXNkWUZZlszynOFwyHQ6bT1krPbHB0jShF6/R934vUBDWMQ+yyCQhXEcQQco6wKd3bHW9fzoZkuEf4fxFwi+IDW2l1+AnwumQ2bI1i8kzN0ukbAITvq55D0RQkaIRam47VslFEoqal3hnD92UVRt5Hgr1SXmcyKcy27ipKv5vtukHVjQgO+SIkBz/Dk5Evp43qeGsizo9foURUGWZTz66MOcOXuW9fdt8vnPf4lnz73IZDLFSysZ+v2U6XSK1l5uSWtNVRlOnjzBY088wte//g3iaYSSMQ6DtT6TrK59lptFsD2eojUsRRnXr6/z+KP3kI+3GJczVkd9jK7Q1qJ17cFMIIpjssRLkZmyJoqkN3PXmqXlVX75F3+J3/ndP2S0tMJP/ZWf5fEn3sp4POUPP/ZHnDlzP1WtMVjOnjrOffffx1PvfJor1y7zvg//LCdPH+ehMucd1YzaOS5evsI3vv5tXnr+PL/90X/Dcn+ZYZowm4y5duECL7zwEu958knOff/7fPOZc9x332kuvXSBfj9DX9/k3sEKF7/9DCOZcnp5jZ0qZ3h0mV5vwEvTMU+99308/41vc/zhe7k8vQFKMRys8a2vP8M3v/A1nr7vfn7uHe9Gb2xjrONSPuUrL/yAcRLz0z/9EY6urfLovfdx9UfPIjY3URtjzl9+lqVKMasvI4oJ46uX2BmtcP9DD/OzH3o/H/3Dj1Kj6CUxwhimkwlLvYwb165x3/H7OHXsGM89/3ybIRXmi23mXpfUbudR+/KwuP6H+eq9FRZL99ie7aC954R7wvzG6n1FFk3YASHa7I5uZiJ40PvmbJBmTXEePPabuvmzp5iTQG3EvVt8YPfrwbxh3YwWIbynirUanPeq8NEi8+yVMEdDP4a1ZzAYcOTIEZaWlhiPx5w7d46lpSUuXrzoie+m77tzX2vN5cuXKcsSrXWbYTIY9Dl37hyf+cynmU5nTcaWlwuLmrVdybmXEe2649pzmp/nfB1K08Z3Cy+FZa0lUv6eee3qNepyRl1WHF1ZY211BWMqokiSZj4L05+/94XRxuKMJZINGeV8XxlnwYr2/qGUIo4UQkoeuP8+/s7f/g3+yX/3z/iDP/wdnnjr27hydYS2NVs723zuC1/koUce4wff/Raf/PRn+bVf+WXKsiZNJXVdoqRACoXBIgwYa5qwKOF9iwDV+KT5Mb5IQLvOHOgGkNjOuA3btiREWJ+V8qSFhNEgQxtDVdecPL5Gnnt5vu1JASpBicTLyTWkh2vCTl0zFi0gQoqLc82r85wS2S1B0b2PdcmR3UTJ7nm3+17ZnUuBmAvPuW+WN8uhS0CJ/l1iRQ76Mn03X+xfCbH040yK7Aeg/oSVLij/E1PuxvkeZvwc4vub5pr1Ulqq+VLjpVxFLDDNM6aTnWN0sOrblr2Q5f1IkN2RyvtsunCc/dpwp/1/Uz+JfVgbFvtjYZ9DrGa3IWZ2H/nW2+xfhxAOqWxruJ6pmr6qfMaIrEkaTxHVoDSvpPt8dor/LRfavf9xD4Al45q3GtEBfTthXvu25fAlEB13uv+Pd9ntq7L43d7ftPRWg31YJJWJGFcpG3mfcZl5YsSIecxep+9aA/ZblYOsYQdZO261bed7d1iO7iDH5QBL46v1zLjf/eIQdd3kMyJYyEg87L38DU2MhAj68MLcNWguisJLRDSeCAHAzPO8BUi958ccuLXWLshnhRfRfr+Ps6IlQ8LLbiBPdgPKofjtZBt1KxrPD2st1hhqWwMgZHi5ttBkZQxTL+vlLC24GsCdACDMAVu3AFAFr4TwQi6ca4iduf58MLkO5JCQCiE0ta6YTqYsLS0jlQfThfReEThBnGbgJHGS4qxjOttpfDIscRTjcGRZipKNlI+TrSxRlgxwsWM2m9Lv9RE4lPRAltEVZTGlIsiIQa8nUUoQp0skSQD0FRjH1vqEyWSGc95zwnup9Fka9lGRQkUR2jjKqvbm5kIgVUReVDgXIWWMxaIQHD1+GhU5hLT04j5KRfhukuS5QUZ+ydjZGbfkiBCilWSZTMcdU1Q8oCwFw/4Q0SCBaZq0Y3N3JkEUe/C9qivKsiSJUyLZAGN4OaNw7VvTcWeZzKYeoAnAvLVEcdRkoBiSJKZ0npTxmQq+HVIKVOTHTpzELZllbePJ0wFqAiC4W6an9StoSJKuhFswSDcdAia0MRBB3WN3pa26EeS75YGM0XhpES8iG0DOKArtsQttddZ7HBjjFqRIWoPo5inFmzerFnTrrgnheOG82znV/A4EZMgYCuuMNnV77mFtquu63c7XWzIcDtHaNNkZHjAXQnDfPWc49Rt/kwsXrvCHH/9jLly6SioUxjkGvZSl0RCtNY8/9hhvfeqtPPDgfRw9fpT/4//p/8zG+g2W14ZYC0ZbojgGaZnNCqazHCEiVByzsTXmtz/6+8SR5h1PPYGxM6Z5ia5y4kihrSdvtXNs74yJZOwzjQRt1pCQEUVesdQf8L/4h/8AA1Tasr5xlY99/E+5sb7BqVNn2dreYTgYcObUKR59+C3ksynLK8uoJOLC1csUtkbEEu0cx04c521vfyvveuodbF/fZLqxw6WLl7lx+RLOWb75la/znsffxnve+UG+9hd/ySMnznJUJ1z/4cv0pSSqISo0Sa+H6MUUosAmlqNnzjB5fsazl85z9qGzfOVrX2BltMrlK1tcujrmq5//Oo+deYCfe9cT2O1tJi5mkiV88YUfcqPKeejRJ/j5D/wsxcY1Ln3nB7zvoUe48qPnODtaY1xaVGWZ2W3ue+AeLuUzrl98if7qMh9837v59g+/xXd++D2y3lHiNGN9/QZrwyUyJdlaXyfLYtwuUsQ515IWYe6E+dK9Bwlcex/sEt5d0jyM527WU4CAae5dXfIA6QMLpBOARYhFstS3wSwc1xjvE2LC/HMOWCRibNv+XUBymI8ivBY0NIkQXiarA5ZbXFO38uSHa9wemiwa4cAGMqZ5NghrbgCVQ2ZbWZbtfb8sS5IkYTKZLNwr67pu6+4SyN1nAZ/9V1OUXjIySGoaY5Bx4r2BwjpoDRLhMzNbYgQCCC6aNUNK7+VTVRVKRv4+6hxpkrKytIy0UMxyynxKliS8913v4tiRVYypMEJhbY1syGOEQLqovSZC+PUyBJB4YsmiItleV2Mt1liKfMx73/0OPvXkI3z5a98mjgRPPvEon/zMp1ldXSWvapaPHGO4vMq/+K1/xbve8XZOHluhnG2TxApntY/asv5Ft/UUEfO11da1z/iRDud0Z4zZJoNjTgCGNbnrgdP9zpNIvj+lVN47ra5ARijp6PcjrOtx9vQxjHO4SzcYzypM6ce9lLJ9PwozSEjlr4/1RM4867EZ43hybq+2dOfs7r/3an93vnaznUIQwm6i7s3yZjlcWYyu+8kqr9K53zEi17k/v9Z1v17HvZPyGrdl4VrcjQyKN1I5CLh/iOPcCTlyc/+7mxokAGFANUEWNDLdpoldsAhQc3IkKLXedF6HIUpu0/7D9tmemR2HrP6m/Q4xXG8iRO6UyHqlBNg+u/jgUEekDHFkWhmtnqpJm0yR1ldkHxR7P0x6/nd4Lmvwlk5A1k0H2vXhrU9rDuR35aDmpMjee+/lDXPw7hNtfaJzpLu3grl9/n61y7wvAzsQwO6b6ZI5QRT+cAiskxgnqExEXibsTHvM8hRRK4SHXuf9dAvyoT3ubRixxTVs19ncini9HdMmDs7v7t7vIMfdq+zZ3le7HLSupm37ZprsP9X2Lftl/78hynQ2oygK8jxvf4/HY+9t0cj7aK2ZzWbs7Ox4kELI9iVztyRDAD3iOPbG6moerR8kuwIgMvdtmHuQdKN9fSR35W/Q1rWR27KJGIXF6N1utK//7bXchZBtNkoAWn27BcZ4wiW0IZxXkFsI/x6OhgtSK0FuK4A6bbYLkihOGS4veX3HGNJehIgsQllEZKlMTl5MKHWOwyCkQEmFQiGsYNgbkcYZRluUjIlURBxFpEmMNTXOGXppAlZjbYHWE4riBtpsoNSY0bLh6LGIk6cG9HuN0a+JKKeSnXUYrwu21x3FLCJWK6TRMstLJ0iTIWnS96bExjAej5nOJshIMlgecuz4MdKsT9YbkPYyrzW/tETa66GiGESElCnaCGYzjdaCunaAosgLbOOpEK5hyIZI0xSlVPtbCEiSiH4/o9/Pmhs7WOuzb0JWg5Si+c5nC4VMiNFo2B4vEHdS+ShaKQXGaKTyY3F7extHA2A525hy+x+ta4oiB1xrRO7raUy5jaYsC7SuMUYDjjiOiOMIa037WQCmmgDstt11XWGMbjM6FmRM3OJdIRCMYQw71yEnWIygDZ93PUbCvAzkhjEe0ItiRVVXLTHTnZ+2yVJS0oN+XTBKKdVKcQEt0QXc1KYuKB0kikL7gqdOIFYC8OnPUyGYS4GFEtaKsL5UVYnPxIrw5ua0WVNKOe655yT9XszW5jUm400mO5tMxztcuXwJJeCn/8pf4V3vfCdxFBEr+J/9vf+Ao0dW2Ny6QVlOSVOFEIYkFqSxJxCTOEEqRa/f5+KVG3z+y99Ck3D89P2opM/KkRP0hsskvQFR1mMwWmFp9SijlTV6o2WEShBSECmJAGytKWYTynzKdLKBoObK1Qt861vfoj8cUWlASE6eOM7pUycZjfpUZc7q0pC6yDF5jqoqRFmSr2/y0jPPsHXpEqIueeSB+/jZn/4Qv/ALf5Xjp44glODF8y/xo+de5MyZBzm+eoqLP7pAPLaMTIQeT4jThMGpo1zSU5Yevpf41Cr3PPkY46Li4Xsf4Pz3n+H0aEi5vcVLz13gpeeu8LXPfZN7j57mZ9//PobDlDEFxdEev/elv+TKdJ233Hc/v/ie93Ht288QX92hevka6eaMbFIxvbZOFEdMUscNWTGxM+594AwXLjzHhRd/RKrgF3/hwwghmUxzkqSH1ZayyMmylMlsTF7m/iFPBPMx164J4aXOWuPll5q56JhnUQRSJIzpvcDXxSwOkMpnBPhcde81URvtiYdmn70A26bG9pi75e5a3xvsTW3YPc/azwnnHn5k+yNbokC23/m6rY8cYJ7N1t7TnfMG5x0Cw2cwerIieGGlacrVq1cpy7Jdb5xzVLqmKEsP4jcZFbXRyCjCOIe2xj9LKkltNE7ArMjbPqiqykPmnawGpZSXtJJh3e9kqYnQD6K9v0ghaagev2Y219RZ75dR1xXT8YSqKDlz6hRPPfkkUkJdlVhnfP9jMM6PG+tCKrpECtlKn/nRZrF4siRSClwzLLDoquT4sVV+7W/8MsujPl/+4mcRwvDud7+LUtdsT2Y8+9zzPP2u9zLJK/7f//T/Q5ykJGmKs42fSnMOxrrmmvrPVONvFUXztTWMq7Y/aIIfmv8aLg8pFXGcEMcJSkXtsfxncUNAO5JYMehlZGlEP4tYHvVYWxlw6sQaD91/hkcevJdja0tE0oLVOGN8plEnMwQnCcLlYY4KMf9b7vFKcRNZ0/npPsvt/m73NsDCHNvr2fXN8mY5aHHhBVj8BP7s7otX+EPoxzsqcwDnx4oUuQMg4dUsYby+lj9AeCh5tU/vx7Is9sEd/sAtx5ET+1/btoi9DiTaRgoHwga/EVAFqMIRFQ5VgqpA1iCM/8Eyl8wJFd1q8t1ict7RyOj0jTtAH4Um7Fvx7Rqxu47O9ocmRW5Xx52Uffq3iY9CCEckLImypEqTKk2malKpiaRBCYsSQUJrt+n6YjULSkmHOoFXmn8R1vkg6XT7DvNAvn9mPnzl8/pc+/fdKOGZ3B3wLF6NsuvcbnNizvk+N05gnEQTUZmIqkyopgl6FmMrhdf47dawR63dObRrHjk6z1X7HaTbLrEHkH+QDt2r3oP8iMWfWx133/YeoHmvuNzJs8de+9zitnGQ8obOGFFKNXra1UIErTE+ArtuouqCTE9VVSB8BP2cgHALxEL4vCsXtDuSHbiJyOiSF4GQ8RF+pvV6CNHkniRR7QuuMTUI/1mQoRIBid5Vl88SaYCtXb4GgbwJWQ1RFDEej9G1bkH8FhRrsk2stZRlSaWlh7qkAyERSlLVPtsiSVOiJMZaQ20KVKqIItB17nUfo5TZNCeJE+rS95utLc5p4kiCMxhXkUSOopxRVQVKCYyu6fdijh5ZQkkL1AwHGVeuXmW2I7BGokso8po0HaFsH6MtaZoC3gDa4bhx/QZVXZCkChnBYDBiuDLCOMf1G5tcuHSFXm9IlvXp94cMe0Nm08KDjdoD2VXtfR/6/SEb65sIYVHKG8hKGVHkRWs6XhZlk3WhqKqqNZufEwxxJ+J40TjWmBDZHQgR1xAPgXCoqaqaJFlqr6eUgtrMM5O8jBKsrKy0niNCxiRJTF1X9Ps96toTI2matsRLmibNWBRtfeCaDA7XZDN5UsSP3fk4DvMkkC6hzcbI9vxCRGs755pMpkAShnniI3LnYOHu6NewT5hzURSRJEkz1jVRNJfEMkYjVNz6A9V13QKgvs0eLMvzKbIxMXbWUVu9MJ+73gyBOAw+DeGcdkfqhwygsH6ENgWZri5REuoI+8IiIRP8WmIJUeSTgpPIG/+eOHaEs6dOcOXKNfKyAiSPPfIw73//+zlz+jR1WSFx7Gxt8Zu/8eu88+kn+cQnPsFnP/tZzr98HhUnjEYrjZSM9ytySJIkYWZirq1P2djOscaxtrKC0yUilkQCqrJEgAeEjSNNYmKlEFRIYREipq4sq3HEtMpRaUpv2ONr3/g2W9tb9HpDdnbGrKwscebMKU6eOkZZzXjLI/ezPBxQz6b0YkWvP2I8HSOjCK0UR48d4+iRI8RRjIwcR44f4bGnHmOz+hZXrm/xlW9/m3e+9Z0koyXWr15hqEZoB1pFXMnHPPnku/j+1jojV7B06jiTyZSoshyJE+7Jhpz76rc4fvwUX/neS3z169/nsQcf46fe8zST7cs8/MTjPDe+yu9/+k+ZupoPvOMdHI8HrOYVeVGz/sLLLGcR2xevk8iECsfph+7lR889wwc/8nN89zvfZ1DOOL464vy5H7Jy/BhPvOURPvSBD/GJj/0RD77vfj74jvfwyU98guGwh9GOylmclEjnCNOhlZdq7g2mAWyVmmdKOOewDRE4v7/YlggnUu1a371f+b+9L1T4XBuNw+3yu6IBaOdeJ3OAnYX7olIKJxxoh7WLdYasju6c684naKSiOsC4DwT0GSLYJsZKNPJFTcZByyk4i3WLkkVCsQBsdEHlKIro9XqkacrGxgabm5tt1pYxBitARsqfa9Pn/nr4EzdNPUYbVDPn67puTM092G20RnaCJghnueu+HjVZGkL4LBIllQfdm7gVJf29RMWKWCnuu+8+jh07xubGOuvXrlM5wxOPPMpw0KOuS2IFzkX4V0Ffv3UO64S/twu8vGbT71prENLLZxrj78v9nl+zXVjLKz70wffy8z/30/zbj/4B169c5vQDD7AznjBaWuLGxjY3tnZYOXKcv/zUZ/nc57/IT33gXexsTlHSP42HcRPue1ovroetp1b3GjZPva3XlZBEUrVZgnP/na6nk38F9ePW3+cqrRHO+ucR2RC6Nsa5IWmc+fuSc2xuj9HO4V3qBU5I/zcOnMC5YHDTvBg6/JjY422jS0J2ZSK7v8N2exU/HoJv2fwZ71b7vFneLAcqYlFB/SexLAKwd/ngBwTU70obXs0L+DoPjr1B8te4/KROkAMC9wc+zr7fH7CCvbZzDS7mrfZ89khHr8haAREeK1Aseo90zs8dYjHca5MD3Y27oGb7961Zl1uSIreq47Yu0gcgRA5a16tUBK7JFrEkra9ITao0cSOhJVuqwQ+EvZsUPnV7fhrqenXL7jbcqvPm27aOIY5bnN/t6hMcaIQ2U+d2LbtDrPkulsW+3P0o3PKdbi6fZZBUTlG5iFLH1EWMmcbYQqG0CHF+vg/czecVenGhK/chGNr9b9U54f25299tJbfZ7047vdNPN9XLLY7b+f6VVH+ocphK9mi/6/z7TjxL3tDESJamC5kQzrkWQO2CqsGfwJMFiul02hgSB/05QYgItMZzbGVZkSQxQiiMNi1I3ZX/CeBtN9I0lDRNqaqq9R9xzrVGrcZolIpbwmYeeTh/uVfSR3OGY3Tls7x0xxxYrqqqlVkKfiohKtaDaP7BIBA0LQjbRM9aa0mbvinKgiRJKUrLdFqxtLSC1g5jah+pKwR1XSKVBaGJEonTFbECXZVUDZjlrCNNY+p6hnEldT5FKYt1JSdPrDAaLTGbVsymBdubG8Qqpq401+tJAz4010JAP4vIq21WlpaJkhjnDBcvXUIIQb/fZ/XIEkeP38uNG17nfTybMp1NqbVDRjGnTp+hKDVJkuGEYDKberkxU6G1oawsdQN+T6Y5ZVk10aj+2vTTDKRAyQYQE15+RGvjddyloDZzk3HXRF7Xdb0g1xbHcTs+yrKk1+uR5z7KuCgKyrJkMBjQ6/XQpqaYejPfLMsYj8ctCJQkSSslEsZQIC6sVS2I2u/3b5LdCCBLAPryPG/bFaKqlVKtd0lXKiYQc2EexHEC0B4P5oRfADVnsxnGGIbDIdvb29R1zYkTJ6jqcqFNVVWRpmlLQoTskNlsRpqm5HlOlmVEUdIQoXoOQFrtTeE7YLFzIbI8tB3iOPGkSCOXF+ZCv98nyO9ZZ4mTqInMDwbu8+jc8HeQCwv9vru/Q590gbDQ50kaU5YlcTSXPQoEG7hGAidupX1+7dd/hb/+K3+Njc1tJtMcrWG0vII1XiZMW4MSCuEsSsDJY8f527/+6/ydf//X+cqXv8If/tHH+drXvkGWjRj0hqgowwlFXRvSOEYScfnyDbZTwcnjb8UIy2wyI0ki4kg1BGdCbSt0rUmTBGs8SKyEpCimxDZiMMjQwjIej/nWd7+DQRBHEVVVcfLUCZaWRvSGKVpPkZmkNDlpprhx9SrDfp/BYMBgNCRWiq3JBONqZrMZsojJBkOeevopvvDN71AazfeeO8eLN67yyAfew//vu98gEz3uffQtTIptsqUBL+1s8vi738Un/+KT/NJHfp6LPziH3RiTphlHyLiWW779w5f5zDe+w9HjR3n63Y9y7MyAG7OcLz1/jt/93OcpZjkfeOJtfPDkvazJmCs//AGj4YC035B0KuHkWx7imUsvkI5ieg+e5upsh5/90E/x+T//DI/c+wC6eJH8xnW2BiN+7Zd/lS9+9kt8/7s/4NTKEeIsZVoWrJ44SmU0dVUSy3kGYhg3oiVQ55kRAFiLDtHtzTycy8556bak8cUKGRFduS1rOjJXzLO1Ql1diazdTypdj6BAJjrnsM56gqUTeDCXEGoTFDqftR+0pMM8aj5879psBp/pELfrje8GC9ItfBbmVTfgIfw7ZJM653jLW95CHMe88MILLC8vs7W11Z5fV0Iv/Dust91njtCncRyjhOv0mwNrfPZlZx0QIsiDNefWZIAItZjN6oSnBUL7pYR+P2NtbQWra2bTKdvb6zz28EO8/wPvwdkaa2sUYHQgbgVSxd7jw3rJzChWRMJhjW7ICZCR942xxr+ElWWFaEgM8Nl3aaL4zd/4G3zxi1/ixefPQRLzH/zdv83v/O7vM5vNeOHFl/h7v/m3+Gf//X/Lv/itf81bH3+EleVV6mo2Hws4L3PW8Xtps1dDxFYgLtyihFaQkWrvY9agdnm7hTW2m6lnrc+c8U/1nhCKlKCfxQgk1hScPraGwvHS+StcXd/25I1Q1LVGqAjXSKIqJMEDZz7WWPj3bhKkSwberrTXvpkfKhCcu45z0OO9Wd4sN5VdQ+cnnmK7i1PJv5DfwQF/TEmRH4uxcVuU6dUpr5rR7Buh3AVSpAtO3baewxYx/+UcSAtOOjACqaE1s3MgrMDG4LyyKkJ1IqeDzBa7rvc+7dobYj94exfnlNu7n++UFOked1edi8fdA/m947oO0aTDHlM4pLQkStOPNL0okCJzCS3V5g7cKoOhK7IURKy6uRQHvJp3pU8OcxD/frBAjvBq8MOhnoO0LmSN/HiURav58FmY+j5bxDbZIqWNmZqUWZ1SFxFippCFAL2b7tlVFrt/ce3ZY7uWQLjVsOrs7HZ9dsu+PSDHte++nQp319vdZM/9mp1+LJ4JukXs09dhjW/+PsygfUMTI3lRQBN5nmXZgjyPiiIsLJAXQgiKomxlG6y1GG0wePmKoiiRUraRo3WtMcZ2jJ/n0bFdcGQxIlxirSclpJQtiJ0kHtD1YGeKEB6gjToyEzAHz0UTZRmi33eD087Z1jslfBdA7lBXID92a893gezWXNo5am2J45Q8L4lUQr8/8Kyr9ebWzhliFWGkpK4qhG2IHGtIY8nmZINIZsSRJC8nVJVFSsvyypCl0SpJGmGtpshzrl+5jNGC5aU1ppOcutBEKubS5fNIKellGSdOHOfosVW0LXnxpefY3NpExhFpr8+ps8ucOH6KoqiZTApefvll8rLkyrUbZP0+ceLJjCyOieMeZbXT6LxroighL2YYben3++RF2WYaeEPePnGcEkUJQniwJbJejspai0vmBJx1pvHvKNqsiBChnWUZSZIwnU7bzJzQ72GbcD2Hw2GTCQPWGBA+e6OqqpaEq+uaLMv8+OiQaGHMWGsWwNNuHV1gNYCZaZq2+vngsxbCMXu9Xks0lmWJMYajR49y/vwFlpeXGAwG1PU8k6IL/AfgUTRZCVEUtQSRc45eL0OqebR4AB27hALQEpshMyNs0/X6CHMvzM/uXOzuE0URdVW3/RK+7/oN+DXBNGRmI5WVly0hGfoylDA3AwkaAL4gqwZQFEVLYIVMoqqu2nkbwNrQ3woHjdwZ1ni/GmvRxnFkdZk0TbmxsU2Z59TaIFUjGxNlVFUOxuJ0zc7WBqdOHONXfvkj/MKHf4YvfeWr/PN/8a+5cPEKxuQIGTEaDCjznKMra5w9dYbJ9jXGW9tIamIpsbpuH8JqXWONIUsyEgWVA6PBCsvy0ohKexIj7qfMZjlXr15DSsn29jbHjh1l2Otz9swpjKk5c/Ykp0+fYLyxgTCa+x+4jxvXr5Fmvi+1MaR1TK0rVtdWmUxzdsZjBsMhK8vLXF8fc2PjBp//+lf5W3/9r3P8sQf5xOf+kg/03sloqc+7H3ucT/3Fp3hi6SQPnLyH689doF87qrJiOqtIjxwlrx0f/bM/Y+XsGX7lb/91jmaCzdkNjt9/hv/yv/5/cPLUPbz13tM8vLSGuXSFsXMkomZmp8gjPa5evsHS0hHO5xPSs6f45gvn+Omf/hDf+MwXeNANSScFen2ToROsv3weNVji3pNneOrJt/GFT32SwdIyf/Pf/w1++7f/NbozrrpgeyDuu3M4zIsuCYjwYSpdOa2WXGjGapfQCyV874MD3IJsTyDdcbYh4Tv1de6n4b7SbU9XDmheV/fO7UKTCU+S/rDBo6grp9W02flMyxZsbp7QuvWE+rvPAeF8wroURRH9fp8kTdhY32A8HtPv9+n3+8waac6kWYe7vmWhni5pFM5/oS90WE8FSjWvX3L+vWBOishuP0naa7cgsdWsbf1+Bs36dvHiBXRdM93Z5viRNX7zN3+dfi/BaoMQKUaXzfNLRZbFjayXIE4yTywJ6X0/nENYh25ktkI/4xxOayKhmgdOizEFU1PzwH1n+Z//x/8h/+V/9X9hZ2Oda1cuE8cRUijyvOTjf/ynPPSWR/n6lz7Ln/7ZJ/mP/t5vNgEZDuF0Kwe24MfWifjxeUO017Mro9Yl36WUaOMlwrokVhjXfkw5rJ37uynlERDpJHGmSNOIJDFgfW6Osys4a7EWrm+OMTgiJaitl5NUUjUkpcRZQ9A0FzTBJ7uInN2/d2d57Jc10j0Xaxd9gfba983yZjlMcdw+MvQntbyil/4ugH8nnftKQei7VfZqx+u43rwuQMxdIAbeyOUVk0ILQP/hDnandQvr65XatUyHcD47FiewkUM2EeEIwCtt+nu3PAAgyR2OxUCG7HoG3m+MHZgQOQjBvUDI7EOYHLS+Q23zCmdtI48lhSNuTNd7UU2iDLEwc8P1joSWW3iOXGxqeGsIpEhbBwfxE5hnB3cP3A1Uv13Q/Z2XXeTIrnYcpL6w+a3aeOeZKT8OpZvvE/wrvaeIbcgR7SS5Tdg2PSZVRlXGiEIiK+El9vbgxxb6S9z8xU2kSPgdvt+vE3dfiC4ZIm4xc7rE2CuZXrvb1RlPt6t7Ydz9GDEke/X1AvFzq37do7yhiZEkiRkOhwuRhwGgravKR9M2L+GBCAngZFEUADcBq10j5QCmeHJFtIaocx8EgLrJLphL7iRJ2kaAx3ETHd6C17YDmuYL7RYm3KmhMuUC0KRU3EoK+cjJum1jAM2VikiSuVTIbDabEyqCVhqoK7kSztXfZmKsgCQeEEc+otTYEtXIg1jtsLVCugzqiCTKSJSj1puYesbqikKbDSoz4cx9a2T9mOHKKlZDOa7ZuLGN1QmzaY21Cf0sYWdjgpCg6wIpDafPrnD2npNEacxsvMPFyz+gqApGywOOHzuLShIq49gez3j5wgXymUaIFOciVpZPoyLFZDJlvJOTlwUWx2hpBRXHTHbGxHHEzs4OAIOBN0dfXllC12bBA0M0EaIhMycY5IZros1c8swb+DqSJPNgmHNkWcZ0Om0BrpBNEMC22cxH0YZx0yUvjNWsrq7SSz2pUhT+eFmWtZJwASjqgqZ1HeStPIjoZdL9qhDkpwJpYW3ZAVeCL0aE1radJ1XliZx+38+x7e0xR44cbbKRqtaoPWRP+EwsD/JnaYZztETcdDpt5a3WNzba9oQ+D54qwQQ+9HWWZRRF0ZCVFiWj5gHPtfOpBSydIYmTDskYUdcGpSRVVXZ05+eyc7PZrL0mUey/2w1Oh/kUSJYu8Jvn+YJUnta6XVtCBLPPdPGESFWXczKSOcEVSBIBjbZoY/Qbec+Asq4xsRfJFViEdMRJgrXCy68ZjcCQRDGDfp8t4bhx7QpXLp9HKcU7nnqSt//f/69cubbBD559jt/7/Y8zmZYcXVliZTRg4/oVhplksr3FPaePYXVBrQukBJSX+LEanC0p8wKDAhVTVjVxFBHFESpRVNbx/LmX2dwcI9SAqppw9NiDrK0tcWRllRvXXyRljcnWJkmsKOsSmSiWV1e4cOUyS6MRw6UVjqQpZV0z6PfRtWF5ecTS2gl+/VcK/uk//R8ZJgO+8JlP8+63vZXH3/Uunn3pOZ67scHZLObCtQ2W+iu8/M0fcf/yUa5fPk/aixFZTClTrhr4rU/8BcnRNf6zf/yfsr1xgf6xVS4+c54//vifc8/aad5x3yO89557qa5cJpMCkQpyZ9iWhrc+/TQvm4Iz7347F69epZcqsisR2z94iaeWTvLFf/tHHF1dY6e8iFACrRT1zg5XXnqZfDIhHgw49/yPuP/+06wdWSMvc9I4wQiBbe4/8+Laf+/OwrDNv6Mgs+Xmc8I5R1mW/rid8dy9p/g0q/mzXCBI5vJE+O93Ea0h46E9JgYaM2/rFs3j52dhCbJIYb4KMZfkUpHcBfY6wCCkwoX/wgNOYwTvU0ogeI5095fSZzcaZ9v5KSOFwTEtcn/fV5LL167y6KOPcs/993Hjxg1UEjMej9u1oqqqhf4PWQtdAih85zM/mv5qyBAHLTHiz8phjPXZII1P1ZwEWiR4wjmlmZdI7GU9Hn30EY4eWeX61atcvRLxkb/6szz5+ONsrF9BKkmZ+znrLOR5Sa83bNZdiKOIWmuqyhA1b4NKBVRg7gFVzQr/LCS8nw3Sgwt1VaFExK/9yr/H7/3e7/HN7/+QwXCJj/zcz/GZz32R8c6EC1XNf/qP/iHb6+t89Pf+gHe9613ce+9pdFUgUMSRfw6qDKRJCs61gQOqedoOREeXiO4Se0mS0BsMGllEP1QC0dztN08quoZwA5yXUbRY79vlNErAoB/jnPcXgRVqYynrkq1pgXOKREk0ssmeCR4voR4Qqvkt5MKY7xIju0mRbulmai3MG7FIkhzkWG+WN8vti4CwBr/eTfkxKu4mBOQOyp3u/lrvd6g6XsdRshvhfD3r/0krd+PcDzN2DglewZxwaMHfhgQRJtyT/Y9s5rYNO0m8EbaCeaoq7TNmt02hokMTNgFs3L3fLQiJA5Ei+4GA+xEegRS53Vy63fm9WmvUHt8LmusmLZE0JEqTSk0iTOspIjveIuFOdrMklls4Zvu3WPz+1k3s1rD76GLhr13cyV0q8yP79zSfXX2YqbV//7yRy2IHhCvpgFZkzXnaTFvFRKfcKAZslAPyOsFpgdDiJuN1gWgWB1+F2zV1Djye9+vqvebn7jr22j+sJ4e89vseb3d7bjU0dtV3x214tcpefbWbEDlEe9/YxEickGVZKw0Fc6BxNpvhhCDLspbwCBGIXW3qAHh2o9eD7FY3WlHr+Ut6F4ztAtpdOYck8YBU8D/R2kere8C5aqPo49hfgjhOEIImCt9LK3mvlKzJEvBXNYA8AUQO2TK+bqDJoAmR+m0EfQMQhT4KL+0e3Fb4WHVPmCRJRJVPvZm3BZwh6yUYZyiKEiU0kXCApigmqKggTQ1CGk4dPUbWO4FxhvUbV1m/tokkxrmEuoBYxcQywgpNpacMl/rEsULJjN7yEFsWrG9e82BwVdPLBhw5fhIhFTc2JuTlFoV2SJEgien1l6lKg3OCybQEJyjqGogYjlb92iYiqqpmMBgym03aTA5PFCUe0GgALT82XEuEgKOqipYACNkWTVBqSwoEwiGOFUpFWOtI0wxrTQOYz707/PhIqaoa52jJhDhOKMuCuqraTA6pFM75LBLVAFeBELHW+u87c6Id38ZixDwjZTKZNO1LmgykJsrbem+BIAVTVdVNMjF5nrfzJJAmAJPJpN0vRGKHtk2mU8qipCjmcmCB0MnSDOsWZWgCSTfPiJr7FoQx65xBSp/5IaWXfjF2bowepFpgblzrCUQ/X0Id4bvu/JDKZ3oJMZcqk1IiO/V32xWkt7prQliHwrHLsmy3r+rKEx1StNfWhv10Dc63XCUJKooQgDaaKJKE0CYVK6TyXgDGaIT0JsZSKoyANIqQSjEbT6nLiqWlHqmTWGe5dvUSTkREKuFDH/wgz7/wMl/60tfIejGzYofLly7y1JMPs7GxyfGjy14CCIWxlrKoiBPl/S+0Jo5i4jiDKMOqGlvX6LJAJRlx3OPlly+jK4FQhtFwRD+LOHPqJLosWOoPWOn1qadTKge9fsb2zphelnHy9FnyWU5RVgwGI8qi4vzLFzh96jS9pRWGoyXe+tanuOfMWV46f5HLly9z7oXnePe73snT73kfZV2gIviTT30ONSl5fOkEzzzzLIOeYGltiBz2ePbly3zsc3/KqYcf42c+/NM898y3uOfe4/zg2R/x+c99iZ2NMU8/9AQPL62SzApkFLFZ7qB6GQ+8/a18+tvf4OXrF7n3ibfw4uWXuff0PVx/6TwPrxxHX1pnefkI9xw7SWkqalezdvQoZVGxs7XOpe0x1y5cYDjoce75c/QHCULCMO1RFAXCOkwHDO7eY7qZHmG8uc62u+9NYQ7bTjT9wn1LQLPoLR5zV/aHazmITlaErxDX3FMccyLFsWgUPZ+TNPSG6IR20byUNg/twfvL0e5hnfUvtZ2Xvrmk0PyetxB9T0MaOb9/F6DuzlOf9VbT6/WQUnLlypV2/u7ODOlm93U9W0Lft+tCIDoQ2Db6au832e4x4qibJTJvrxCiWTcFg0EfrUuuXrnMxQvnOXvmFH/lp95PXc+IE9muCT7rTaMU5LOCXn+IVBJdV5hAuknvG9O+AwiabAnbZo54ktbhjL9OQjiK2RghJP/7f/yf87/63/5jLp5/iRMnTzPs97CVpihK/uD3P8Z9DzzEl774af7sk5/hP/oP/y4I7wsS7jn9Xp+6rtnc2PCZlFIi8fJYutbousYaL8sWMkOgyQAGosbXq9frkfV7LC0tdZ6DXDOsfV82QwHnTBMo4DC6RmuDQ5JEMVkqqEoY9CKOrg4oqyOYS1fZ3CkQUngfLocn/rDNSBbd6bN4eXcRg7szPG5FbrTzP7yQd57X9jvem+XNcuDSrqXiYEDOYYm4MPdeCYF3N0iKQ5Q9oz9fSXkNiY7Ftr/KfRbAmVe3lj3rfN1Iip/kpfZuj6eDkh8HrbaznetGfTs84NkQJAiHbBgKq9pNEAJcCMEW0MTYLBANr6S9BzVYv6lfDkoILuznbj9X7oQQOdA2e/TSQa/h7puQwOMT0qGEI5aWRGoSoYmE8ZkiXW+RV1QC6XC7Bu63L+2z4H7kyd0pXfS6abObj9P96+1+8+8SKbJXCcTR/HcwXq+cYlInbJQDtoo+RRXjtMc395a8ajq1YSwOTHh1j3XI8e92fbbn0tvZ9lBjbb8d7lZ7X8ci9ji3m9bSQ07MNzQxkhc50VgtZGF0CRDXAXi62RXh391IvUCKdOUywEcievLA3ASGAG29ZVku+JnMwRM/RaNobnyeJDFKRQ2gbjDGoVRog21M5UetF0nQRQcPfHcN2p1zDcA+lxAJ2QgBxK/q2gOqHQ320L65TEmNijwwopD00oyqrEBL+v0+Ji+o6hnOzIh7iihrwBylGS15MFdrRz4tuXxxjFIJZZmgRES/1/f9bmuiFEajFFRENhhQ1AXOVginuHzhJfJJwWh5lX7/GCq21LXl0uUZxoKxjjRbRomYstRIISkL0+qkG1sRJxEqUjgnkCLCITFWUBYl2VLG6upacx1cC5KBII4SAogiZQAeuk9aHcCi8RoJgFkgA2azGYPBgCSJMI1Zum7kurwklvK68zR+Fw6iyGddlGXQvYckTluCIsioaaPR2iJl1BIYzrmm3z0gFkvlQThnqK1GNshcI9yCFAopGoDHeHkcpaKWOAyeM6HOroRJ+DxkUAXpqO4cCfPKA6iKXubNjbtj1YOSegHYCd91DWbDXAtEhtbaG/C6YBbtgdRAYIZI7rA91qG1oCzzNvo7SOmEtrZeK1iyOF0gOlpSxs39g7oAaGh/v99f6Jdw/kqpOekihQdopQeWq6qa+7dI/0illN/Wgf/bueZa2TYyxpgabR3eqNnL6Tk395dwUYSQws8BJbC6xrmmTUCWZpTGMRlPeOqpt/Hlr3yTYjbj/KXzDAYp99x3klQptscFqytLhLCUWFZNcL7FuQqNRLgIU1uktahIIFEY7SV5Ll1cxzlFWVWsra2SZTHHjq2QT3Z45P4zrAxGGJt60qWucRY2NncY9AdobanrClxOvz8CGbO6epTh2jGs6nHv/ffz5Nue5LvPfJ/+MOX555/jyccf4+jqMW5sb/Dy5YusnrqXr33msyitSKlZPnaSzUgxFfCp736bh59+gr/6Mz/LvWdP8vlP/4BZL+Uv/uQzbF7b4p2PvJW3nT5DPJ0xLSYcu/ckeZkQjfpcmOzw5Fvfxp/9xZ/za7/+62xfuMSlb30bdmaMopRyO+e5K+c4cuIk4+0Z9CVRajl75gxf/d7zXNqakeAgUmjp2Ni4hnSgDEjrWq+QAMx3SZG9gNUwVruEd3fsBpP2QGh0iT0QbcYJ0BIp3XvafH7uwrhC3eFFsnn7C1lO4f7ZZpN02us6oU5zcNhgsQhzs/yWkA4bthW0JIsI59ug3jJkschmxXaLgQoh0647L2fTKVEc8/LLL7dzuLsWdfs1fNaVuequFe2PdQvtp8ke6fpGiOaZW9I9jmcphJh7ifkfgW08zpI0xlpDMR1zdG2FD3/4Z+n1E4wuUJF/duj3euT5rBk3iq2tHawNGYumzWj0rw2q9WZCCrDhvhB5yS28z0dttSfwhUAowWy8zZOPPcLf/NW/xj/9//5Lnv/Rszz25Nv45je/g0Lw7A/P8dSTv8rjT76dj/3Jn/POd7+bdz71OE6XOG0Q+AzYIi/9s4q1RInPCLTW4oyBJtNDSkksRGOY6td73UhNlmVJWZYMjW7X+MUsnkZWUqpmbnmCI4zPWEXez0RKnItww4xI1d7bRB6hNjW1uc40rzBWECcpWOfHvJzPtUDWdefkbuJjPyJjd3bQbkJlEfjZn2h5s7xZDlU6eNDtAgkPhB0t7CQOv99+x9ijvKov5K90Wt3h/ndHuuh1IEVeq2XodVjufqI9Rl6NcpdJkb2OJcIXrvG5bH6w4ITz8t8CbJdAkH4fF9aru3Td9x4/N9/bbzmfbtGWxf32eGY4KLlyu3InpMihy+7nJVDSESlDLI0nRjreInIXKbI/QXKnN6Gbj3K7fnhtlgt/PuHsBa4NbHpzuQqI3TxTxKDQSCobMa1StqY9xnmGKWOc8VJ7e2YbhM/E/B+HifM41LXocl6dzxx7kDYHeG47VFvuZHrs1d7XsTixTz/tfgw9xEV5QxMjITMiEBoBwKyqiiT1wJvWeuFlOUjoBNA3lGD+7JxrjWrDNh6kdi3Y3ZWiCqCx1rolRrr/FmJOxoTfURS32uUByA3R9LZ5gY8aoiGAVV15r90v3d3o1iSJsVYsmEFbY+bSHm6e4dKVbNG6kRqKYTq+RhxH3ky9KulnI5TU9FNDr9+n34sR0qLrksrCeKekKKZUlUOKjLLokUR9hr0eVVUiRUKa1mRLgjQTWFuyPd5hc6dmNi0YDpfJ0pRIHmE4lBgdsTHR5IXBCYlUPVQcAxZEyjSfoWtDL+vjgF6/70kk53AYbAOaIxxFMcM6SNOYIFmitZdHSZL4Jp8NpaKWFAmeHVL5JyerbROlP5ewAg8qzjNQ4hZkTJK5Oflu8i0AX0BLsITx6axpszJa098kQSpJVc2NjQOAGcZVrOL5muXmkjjBi2MuFeYWyIfQDl17skkI2QCPEq0NSkpwgrKsWBqNGI/HZGnGyvJKC1TuNl/3WQX+/APgGMgL2wnt2Z11tdvLI8wLYwxeCV4SxxHWGoxuNOubOeZ9EKwnoOwcxPRtmnsHBf8fr1Ovcc623jy7o913G1R3fydJ4mWsGqIjyzKMMeR53q43rcSLXbz+Simc1Vgzz4wxxnjPI6lw1hHFXvpmTrDSrAeOKFJo48E/Y317pFKN7M2i3n5d154Uk5IISZr1eejBR3jkkce5cPUqW9tbXFxf58VLV3jkofu5sjlha1bjcCRp0qxZil6WksRLxFlCnKRIJYjRjLeuMyty4mTI+vUtrlxZR6kMbE6aJaysjkjSmOlWTa/fJ68r6rogShKiNCXO+jgxpTYOGSfUlaHUBmrLg48+hhOKojKoyHDtyjV0VaISQS/JeO65Z/n471ve9/R7OHvkNNvbU07ed5bnXj7Ps5cus5ZkrMQxKysrLI+GPPHWR/iNv/GrnPveM0xczf3H7uUP/80fM8sr3vHwk9x3dBWpS848cJpzF15EHBuRVDEnzp7l+R+d4+iwx9P3PMylL3+bB5ZXePHFHzKIMwpREPf77JQ5J+45hlgy9I/0MQryqObY6SN877mX6McKbM1oeYhzunnYkgjn/BjphP90Mxa6pR2fYe3o+O60ZF9zHxv1By0x0CXYXROS4qAlMxaknDrjZ7/o9pCpFbIsFwlEi8+JWiwLx9oFAEsZyIFAhDRW3a7Jdmk8OoTwmXRC+nlF43Xl+2CR1AnzuSuLF+69rlmLdnZ2SJKk/b177e0+P3TX1L36I/z2gLm/lnuB2CGLpM1Ica7xC217nvBIJ6VkaWnEQw89QCRBV1OefvvbeezRh9G6pKpyrPVG68YaT7YLha4Ns1kONBJo0qGUROuaSER+u1i25A1CgpVY66VDo+Zz66w3Olc+qyOSsLO5wW/+xm/wo3Mv8eWvfZvtjQ3uOXuG5559nuXlZf7kT/+M97//PdzY2OBP/uyTPPaWB8mUP7csyyjLkn6vx9kzZ9lqskZChpN0EhlJIqL2BcFan90klc/Gi5vMOqUUcZqQJMlC//uRA7INqQvkomjGkCCKVRtoEikY9lOiWOGEQ8URxp1AqIjzl9fZ3Jr6+DMBrQRce1k94dfNDFrIYHK75On2KV2CpD1uZ450iflbZZy8Wd4sByq3Go6ugw3cOiT11hXcZbTmNQHl78Zx7wjcvQv99SqjY217Xw9C5HVD/t5EHYG72we3O9atALt99vW7zO+dwvmHh+A9IiT+kTTEgQh8RnSo66CkyH7bdIMY9vx874CHQxEZtyNTdh/rVudzgPO4ddnnfO60BCCzMV2PlCFWhlhp7y0ivfG6FCFYMGzfvVcdvOWHaXILUt+GqLrL3No+pfN8uGvUv/rllRNNe2HYr/QYuz/zHiPedL1yEYVOyMuU6SxjNk2QlULZWzC13UYFhvN2DW2C9w5d9hq8gfwQeywfhxnkza99s08Oc7xXut+rUfbqp24R3CyPeIDyhiZGZtMZg36/BSICWBEIDcc8+jaQAMFkO/wdokADONxGcjcgShzH/qXaWiy6Ma32Ph9lqT0IrwT9uAfQRNYnwKJZ+3Q6xTnXeKL4aE6lJMZAlnlZJYkAFWG0xhqBMRVKKJxMcc42nhG2jaSEAPzKDnDTyI80IP1slvvsBKAsfRaCFD5SXRuNUt5/QuqKupx68EN6/5K45ziy1mdlpU9V5tS1oy4L1ifbRJGiyAvyWhMlQ1TcpyoMcdTz51NqpjMHTlHrEkfB9WqCNlNWVgYsLa+RlwWD4RGUzKgrRVFYrJUURY0QKUJmICXaabCSosrJqwnW1WS9DCE9kWGdw1jQ2mvdq9hr58tIkPSiFsCr8xopvHRYFAUAwvlr7ETbnx548IarWmukCxIyro04Dt4ZUghopJNClHY30jtIOIXvuxkQIXLZjxvdACieiAhA5mAwoCxLaq1R+LFX17oF3ry5t+kA67olZ7pE2FwCbE6UBNJt3gZLkqRt2+JI+QdLIQCDa8jBft/ru1tnFyTiQqZJyAwZj8ctadMlh5xzLSgVyJCuVE9oewAmAxEphWpAXu/9EiTMkjRp+t0SRb4dReElUNI0aQghL38WQNxQR5Ik1LpaIDPm5MfciDqUsMZ0M826WTXW2tYLpt3HzdclTzI0fiVNBos3EK4BiYojn+lmDUmaMJl5wDBOEga9IXY8AefnvrHOg8XC+ydYZ6m1BimI0gQZ+wyhQZKR9vpsbk+wQnHp2joXL99ARBkGier1uLq5xbXNHU4XBlPX/MXvfoyNzS3S/gBjIct6DEd90jhidWnI2toyaytL3Hv2OIlyDLMBy6sn+OHz3+f6+hZxb4BQiqyXsra2SqwEqslm0a5E442NjfVrinXem0kKxXCUMhgOSXp9agQqjlm/scUn/uijfPMb32Rze4PBcMjVG9eJRcL5F1/k0dNvwYhNUpVy+co1osGA+Mgqk6piHSjHM7i+zi+9/wM89+Uv0Y8TNi5f5jNf/T5FAU888lbuPbHKILZMxluoI0NSe5SvnfshDzz8GC++cJHYJrz03XPcf+Q457//DOV2yZpMmVUVW9Zw74P3kS1lfPHlczz9/nfywoVz3PfAvbzw3HlOnryXB+47y9e+9QxHTxzFppK8mvmXM+KWYAzSOfuV3ZHpXZC0+5m1lrIsF4IHwrrjNwIhZSvdFcZxmKvhfXH+VNH4/oQ6rSc+5l5MDaHYbbsA4fy62aRxIDpk8BzcnRPMLXjdVBuyLqRQ8/Ws6Sdcc86uCxrTHr/r+9Ndl1piGNo1Oo5jjh71/knb29u+D5yXuRMIZFjbw/XZBcK3bcBnVgRSxDnnMyBCRkkgRAhSTOFNN8zlOXDvf/z60etlHDmyxpUrF4njiKeeepIkjpDCoExjLO4s1giEsxhtSZKMKPLk9HQ6BeFQyh+zciWRihGRHwPW4Z9JRIwUkroKmbUCS43Fr0dHllbI65KrV66QjVb4qz/7M3zl69/iuefO8eGP/BLnX77ILC+wVrO5tcOpM/fyuc9/iZ//6Q/w7rc9jraGoipRQlBWFVIqjh4/jq4qyrJEVzXzFz0L0q+JgTQLxEgU7jUNwRfuBWF97WZFtSS38NJw4X6otc+arOvKZ9RGEqUtWSLRRrC63AN5DOOgKEpqW4Pw9x9n3fwah3lhw/i00CEX5zeC+XXtztduhtgCOel8dsruOf9mebO8onJQ8O+QkYmvafkxJUUOG5n4utd7J+UgoOurVOdrPhbfzMzzZY9ueK2vxZ4ZGPuREV3M3tFmj7Qxec2/25t3d7dbERV71bfvENkHKO2O5cPMpYOSIrv/fQfEy+3LXbz6XeS3ee732SKWJDIk0pAIQywsSpg2Y6TbhsPO0sNtf3sywHW262796hMkr/ksfMV7d49wJ0RS9xii85l/DRONC6t3Yy2tYmYTJjqlKBL0JMblClepm+L2WnD9VszN7sZ3P/MRfTdttl8R3T/2qnP381envgP11y2e4cR+9b7RSqdPdp/K7meiw2SAvqGJka3tbcbjHYajEf3BAGctg+GQqiqIkwDSws5kB+e8kbOufFRiEsd+AQ6mr0JihQXpEEqSxB6ArrTx/gM44l4GWCpX4aQlyiRR5D0g6qKgrDT5rKSfDelnAx/FGQES+oMllJQURYU1hlhJHJYsjcBpskRhtaMqvJ64NSVx5MhSb9ocK9CmxhhHmsWAQdc1QgoiFaJcRSP/YIhiQV6UJGmPumpkiIwjS2PiCKb5GCFKkiSm1jsoWTHsJSwtD5hOHEmSsjRaZrwz4fKla1iDN7IWiixbIs9LtO0RxQIZR/T6PZaWMpRKMBpuXN9gZ5YjhWJpeQnrUupKIJMR46njxtYUFUVEylLXU3pZn7o2xEmKVaBUiLaX1MaxvbWFdYal5SXSZOSlpCwYvIxWkiVI7UGfKFYYZ4iUz5LQtfaAi3CNObCXIvJgi2vBvdls2sicKRBQNt4i2oB0zmfeCC9MJRwkUYwzFtfIn1XaZzcIKRnv7FCur1NX3lsiy3osLy+RpWkDXNVETUaJcJY08WB+EsckWcp4PCUWkhiBNpayqhkmKVIqimLSkirCOfpZStVIVHlAPvLkndHUdbXgo9MlbaCR0LG2mS+SaZHT0CBo7bXeo0amJM5S8qr0Eb+6RgpJlKQNyCiY5gXWWnpJgjWula5K09QDc3hiIlIRkfQkkdYaYlrgU9c+uynLemirSZKUfDYDqUizlMnOFCG8jn4UxYBDSU8ChkwvnCBNM/9dpLzxerMeqCbTwhqDEpJaV5RVjQN6vV7j/+MlyUyHoAkRyV2/BmvtgmF8AGCVUpjGKygQH0Wp0bZGOohi6ceSg1hKnABtNRqDiRVpJCnHU3pKgNaoOKaqLZGrSWxCJnqUtQQlsUIgXDOGEQgFpa6wQqHSZaoSrlze4eUL5/jmd7/Ni+fPszWZsD0pGQxWOH5ijWq8zc7OlJcuXObE8VM8/OD99PpDXv7OsyTDFbamNXGSIXDEaEaJr0fFikEvIXKWd7/rXTz22BNcuLbFkdNnOH/pEqXOcUKxtnaUyc6E2XTC9uYNokQjBNTVjLo2jIbLJEpRFQXGwokTy6wePY6KE2ZlwXg8ZVbk/PEn/pTnn3uBh97yEL24x9pwlbqouX71Bv/8t/5HHnz4YY6cOsH1nU0qpzl78jTf/+63+cznP8vT9z3I46vHGW0Zat3j/OYmv/2pPyc5eoIjZ0+QHBlw6uH7Ga9f5d1/5X18+jOf4qmn38EPz19BzzR6a8b2tU2GSG6U6wxHR5k6zfK9xymKGfffe4YtXfHku97OuT/4ONaknD3xKDcubeKqjNmkZnXtCEePrnm/p1wTSX9fqZ1BqkZyibk/COAzoqzDBEDeCazxEetSSLAQqwhnPFCrhALrUMKTINM8Z+3IGpN8gjUWoXxWgR/Efv2QAYxt7qthPZy7g9C8sHgZN201xjUeFM36YZ3DtCSFJ5n9Q2LjBB4QZBOORZOd1jwWN2RCIKVdA9QHKiFkLrQPeqbrj+LrsxasnXsIdYmiQJCE7Jkwh4O/SMhYmM1mVFVFqStwNB4nTTsa2UEAIX1WjHGmORcRmoFxFuF8ywOg7xqCuc0qcLYlWfx19V4XQkCsJJGSGKtRMkKmCcdPnmAynbCxscHTTz3JA/edZTYZMxykqF7ms+Wsoy4rSltCLJFCthk9npsRRM29DWFbIkZKidUOXWlqO5dTc86ha4OKBFZ437NtZljrpUON2OGJJx7ml//6R/jdP/gTvvDlL/Dgww/x7A+fZdBb4pkf/oj3v/89PPDgg/z+H/wh999zgqosvCdV3EiOeuQfJQVSgoz9+PMBGpLaWqZVzWwyw+JaEjppJCiDn5uUkrIoG/LPUNeVz0KN/LVVUYxUXmY0ThO0qanqEmsNsYrarLwojqnLKVVR4GpDJKCfSCJpyMuaKO4hhKQyPguPJljCNJmH/t0oZPgJn9nYZnRFiCbFX0iFMV7ezRlNmiUIQDfPGOAw2t8LgZvGtK6r2z0ev1neLPuX3S/1t9rmJ6UcBDi8RdkXsDx05XdQQvzCa1VeB3JkcaiKn7zx+XqV25Eid/s63IqE2K8+AYhdgkodBFUwJ0egQ5Ds2m533W6fNeHAhup7tXP39geZS7ckhQ6Jbt6GYLp96bJOh6v6tkX6bBGlLIkypG22iCEScymtBVD5NSi3rmZ+M+3SIm8uT4tlccqJm/46zDFu2r8Bxm3ne4ukcjETkzGuM4oigVmEyBWi5tDTBrj13PFRgwc47pw82Xcc78UWddeog7Z9v2N0vz9sP/w4Dez9+qTzPHQnkphvaGIkTRNGwyEOGI/HPtpzZ4fhqE++7iPAh8Mhg+GgjUof9GLy6dTLH6UJcRq33g4qUpRViZIx48nEA6/WYkqLTCKMqZosgbksTllWxFGMVBFLowFpXCPwhIk1Dm1r1o6sYirD9evXUSomiWLyvEBKL8dTVRXg/R68QalESkOpS3au3+DEqbOURY1whkg1IIt0JJlvn7XeFNlaf+cf9FOiSDEZj8HUvi1VSTndQReOKHY4aUgzSS+FpWHMcLCEtFAWmsl4wvbWFYRQRCpj0B9RFBVKRU0EuWC4vOQjLxNJUc/QWlMUY4q8YjYrmOalB0THOecvXvFSUFIxGi2jZIyMNcvLAza3NkgziQEvlyWhN+w1Ec8F6zfW6fV6LK2M2mhKU0O/N6Ju5JOkFI2Zbo8oiphMJ5RV2YIJURShnMJa3WiMz810AYzx/h9xojwY1ZBlo9GIOI4ZT6dESjXSTdKDK1GEEhKZ+CmkrSGJE4yz1GXJdDpFOMdgMCBtDM/bzAepSBqfixDV3eunJIn/vijK1gdja2uLwWDASgPa53nOYDBoI2RDBkSSJMgowkqLdbb1AAmZKlVVEylPUrSERFOkklSNxE4wSd/c3CTLMobDYVuvMYbTp09TFEXr1REyQqbTaWtk7IGpugWEQl8Hua04jrHaEySD/oDh0ojLly+TRAlx1M060dS1bgmIza0tpJP0+ynW+us5nc7o9XotUZQkKUKI5vqLhqjyclJBSij0V5IkTKdTkjRr/WZ89kvCdJaTxBGJitq+DCBcAK4DuRSua/f4K8srHhSzFmMaKTQpKWYzRO2BQCUkAi/XJYA4iijritoYBlmG04ZIRDgRI1OFihLKuqA2Bqfm0nherz9nuLSCQzBYXuaFFy/wuS98m4sXNzh//goXL19hJ9+hMgUiTqidYHPnMsNBxijLmMYJmxubXLhwgdMnTvLAAw/ymS98jcnWDrXsU9cSqytSYagLT/ZFacbVa2MEhvd+cJWL17YhyfjlX/1V1jc3uHb1MsJWRCohL2Y8/sRbOXpihel0nboZ90pKhIrJZzWVtpw9ey9Hj5+kNpbN8Rb94YA07bGykvLw40/wpa9+nQuf+SxnT58hS1KEcxhnkamiv9xnZ2cbZR2mKLn08kWUlBw7tsb73vF2ostbXHvpEjKJubK5wy/++m/wF1//GlNRc/76FR5/4jGKuIcZrtA7cQ/nLlzjscefZuv6BkcGK5RpgRQx47pmsDzixs4WMxGxpSLWd8Y8f+kCX3n+RaY7M/6n3/q3nDh+gstXrnDs2FEmk2eI4oi0lzEtcnRdYaXASS8F57yxkY80d3OPq9bDoPm3C5kJHdA/GP+10SphG+szunyWYzqXkKoc1mow/umrpT+aKHspBcb5LAL/lBke5PxvG0gT59tlGpmrSHjSxrT6BMHwoxFxppG6w49bqWRDFCxKEwlvXOJBc5ifawuGhCeeECnk2P0kGeZGyH4L2XIha8RojdGapaUl6rrmwksvYZwHxtvMNwFYH31EV+avAa5D7grQeqdIoei2ppsFEM4nnIto2imlpJemuCZbUEkBzq8JUgiyQZ9er08UJdx79iy/9IsfIY4ijh5dJZ9NGkA+IkkT0jglivy6bLTv6673hhKNr0jkcApwAmFAOW9miQyG9ngiVwpEpMBY7+lV1SyPVlleWcXFCiMkv/qrf40vf/0bXLx8gQ9/+Beoa81Xv/pVjq6tcfHiZfq9iG9++1ucv3CRdzz9dk9UJH7NqnXdyMgZL40VNY5YAoSSZFKSIsmae95kMmE2y6lUTV3V0LnGp0+eZLS0xJETJ5htbWKNptYVg8GAwWjgPY+OHWkzp0RDyJhaz+VTpWQ06JMXNeNcszkukFGC1o4bWxM2xzm1laRpH+e8jGUgn1QT7OJc8MrqemcJAkHmkEjls1SruqScTUlTf7+npiV8uplY3axFP7cXJePeLG+WgxbXeXe/KSD+jRRBeJdf0HdHGN5xOWSWwV2p97UmRpo6X5fh8hplcdy18XCHZU/ce1d7Xvfp+gr659D9ux9BsytLuf1jH/Kifdbc9dOui/PHS/97T3LkYGHbt8tyuRUpsn//3KbucD7d7W5FyBy43GVCZHdfhksmQTWkSCBGImGJWm8RmoCq2zXk1rPj9kvmrv1ve86d94/XdGYuSqu+usujaN98DsqNu5t+7x6EHenmPfa7+Vii8++wv2h/rJubrhc2Ylyn7NQ9yirBVRJZC0QwXd+DKNir3kC+3LIEcP5A48TN31/32mIvwqLz2b5gf4cIvk3Vi58dpBxsyXttS7efdg+r7gQ/5PPRG5oYiaOUXjag1jXWOXq9HsYYNta3Wkmb9fVN4smYJEkYDUecOHuS87OCJEuJooiyqFCRpK6LFkipnG4M170UTa8XszPeQiiJiiISmeCcQDjjjTtrDwalKkFJi601RpRoXeOkZP3aJiBQMkEgcUiQEUVdoWKFULEHoVSKc8ZHFKoYFaUk1GibMs1rer2Rf9G2GoWjCmax1kfYZmlCHEGV71BOS1LpSOSMIp8gneHoakSaeV+N4dIqSb+PqQrGOxPGm1N2tmuUTJByxMrKElnWxxiLlApkyWDQYzAaYLUmrwuEgPG4ZDItyGcFtdb0hyNWjxxH7UwZDVdZXlpjZ8eTTOPxmLIsiCLv77G9s0Ov1wdgZ2enjb4P5vFJkpBmKVEctUBhlmXo0rQR1d7I22eGlGXJ9vY2w9GQtDcnAIKUDMyBKJhHYQohKMuaNE0BD3RXVdXIpZUtieGMJUpjdCMd5awjz3Mv1RQ1njUW0sGAB4dDdFWTZRl5nrekQF17yZAsy+YSH9ZSV6bBJb1MVBzPvXOCBFeQCgneNGmaLsjmGGMWzM67ZEy/18M55pHoDcgXRRFCSXRDsEynU+I45uTJk9R13ZIgS0tLSOlJoeClMZ1OW7m5run4ZObNf5OmH4NPSJIk5HnuSZZak/V6zIocGalWaivo/CfNtTh69Ciz2cyTUXFMohLAm5GPRqO2D8L5V1XZECFVM4dlSwaF8w0Rxs65ubm91gyHQ2azGePxmDRN22smJN5vRht6vR5OW5+WjcXhTdVDPwnpCY5a142cl0QoidG1BzmTxNssN7r9prKtMXssYChjqpkHza9u7RBHCWlP0lvuUYiacVxR9GqUA3+kCIckSftYKfnuD37En//Fn/DD7/+QSPQYb1esr28znk3QpkRIi9O1l3UxFp1POXXiOHVesr6+zs7mFltbWzz25JM88NBX+co3v8tgOcG6AtAgQRsLTqCLmqoqefrtT3Hs9EkuXbrA0nDEdDLmyNKIk2ur6LokSXpc3dhA9keQLrOUDryRsxBEUYK1sHYsYmX1iO9sKYmFZLW3hEWA1SRZzHve90E++jt/yAc++BT/u//8P+P/+U/+Cc+de47eUp+d8Q7jfMLps/eysblFPZlgnUNIhXUV3332+zx57CxFbPjU5z7LZiT4P/yv/xMeeNd7+Jf/4l8xnWk++rt/hFSSP/ncl5AK8u0xWRSj6xpdlkROUJVVkyng0M4yGA0xwpL2MwbLSywNRwyXl3no2HGuXL0CScS3vv99ppMJp06d4sixo410mvHSiEqCnIPk3cyubunKu3X9eMAnYbiFbbwkH8I//EkHaRRTaIPWBhnAeqUacsNgnFskX0SnXkfnuBYlI1TTDmPNHPx1gDUIZ1HNA2aQkZP+BHFuLqW1u3TJnq7h/JwoEg1p0mzfOGjudawgy9WVzQwZbFJKoizjyNGjZFnGlStXWDlyhDiOWV9fb32l/HUg9K7vn/bazGW7cPhsnwV5MLHwjLxbPonmGgjpZS2NNoAlaj1OHDTG6NLBbDKmnE358M//DMeOH6OYbFMVNf00odYWW9c+uEAqYqUa09Egz9jxSKHR3tZeFhGCT0tDsjWZewDGaf+i4Lwv2vGjxxgNlrEGqrpCJBHZaMjxU2f4+3/nb/M//LP/id/5t7/NU089zcMPvYWtrU2ef/FFfvqnPkB17wP83h/8CR/6mZ+nbwy6yjl25JifS7XPkq2rEtOQ6haDihQIibWOfn/gg0iKEq01WZYh8BkwFy9eZGtri2eeeYYoijhz5gxrq8sMBwP6/V4rK5oOBlgcs/HYE8qyGR8OBs19wd87lwHJZFaSbuzQG/pnr0tXNzn3wgW2xzlRHGEczT0m8kQjYJ1uMqbmgQBRFDI0PTFinZdmc877nCRKUOv5PbIrO7nbT2Q+R24a8m+WN8vBSwf8W3jpfwOOq1cFwH4lE+wQu7Yz+24QI3fjOHdc/2tf8Wtqjv5a1eX2+POgdf84zN0DtuEmQPAgJEO77R7Pjh3gy68HzcoWCI/meXRBb77z20k6hML8773n1S6E8HYkxe0+F7e51l0C4XbHbvvgFqTILfv6AID+3Vqrdv/bP7QiGxIkjTS9qCaV9YK3iOy0cVGwdBFWvx0WepBbnuhscAj8+FDbv7ISAttE5/+v/LxvV1c40kFpKXfT1s37EEFUeFGCbP/9Fvf3KIy/0pa56bp1EoukMDFjnTKuMso6hkoiNWDE4jRu33dZeK/bq8p9Z8h8ybl1CQvM7g13S+Xe9P0en+3z/cKm+5zHgUtnwNwx3XcQUuV2/bvfcfc48AIZd0hSBN7wxIg3PzbWtACpUopjx461INMsn1LWFVVVU+QV00lJlqZsb3vZnyiOqMqSKI7Y3tr2HiAIirxARTH9Xt9H1xu/YAsNtomqNLUF60EDax1lUTU3JC+TYWxFEmcY24Apwvs4ILQ3fcZS24qqLHFCkEqojQEhUapHlRdEUUJelGRZipKCWuv2GkdKYm2FkAYhoa5yptvbSFswHKTEscQJzeqSZHVliazn22KcIJ+MuXH5OtNpQVlYZNxDRn2QKcZY6rImThVKJR5YcJKdScH5S5fRRlNUOf20R5oNcDYiTZfJMkF/MEDJmDRxWAvT6awB83zUf5qmFFXZGJtrNjenzGYzelkPJRXaeIAhAAKj4YgkTdoJIIRgOBrgnJc60rpeAOfBg/+6kVRpZTbKErAURdF60HTNdYPUShRFbXaBa8i2Is8JMi/hmB6ko80gENCC80XhpZsiIbHGUuSFz05q2uicaED8qj2m1rpZ4j0p5ttLaw5blmWblRDarLWmqqrW9yQAKYE06Ury4KCudXvMLsEiGjmnEFkeCBEpZUvgeAPgJTY3N1uiJxAvLUDb1KUiRZZmiA5ZGUidNE3Jsox+1mNza5Naa2azWUvUZFmGlNJLjAjY3t6mqiqyLKNofEBEM48mkwnGGLIsI0090VmUnrAL5x+uaQCUAvAc2uOcQ2CIo8gTGULQ7/fbjJC68tchHCP0W5DWCtcxbBPqaEmt2GeB1ZWXXEuTCFPXWGcInijS+XGfz3KkjFBSInt9RiqmF2XYWlNPZoieIo4sKrK4PEc6yKKUsobzV67wrU9+n82NK1TVDGFgc7zNxvUdirzy2QpJTFHVOGMagsly7ep1Rr0+w+EyRVGzM8m5eOUax8/ey9vf+W6+/6PnEWhsVeKsozISpzWRjMH4Of7D55/j/md/yPEjq+RVTj9JQRsECmkl02nF8pGTvHjxOudevMjVixcoplN6/SGxihiMljly9ChpmqEiRW0dRVV4SZ3ES5HpylLmNX/rb/1dnnjiMUYra9z/8Fv4/rM/IM5iKBTXNm9w4uw93tuk79eIWkfMdq7yzPMvEmnF5ZfOc6mYMY0V/5v/4r/gzAMPcf3aBq6o6acZtdW4XowQjqFKKIwjGy3TP5qyurbmfWuyhP5oiV4vQyLoJYm/OVuHiiRxJJFKcM8jD3Hj2nWOnjnJzqYn6ydFTmU0NJlMHnD3LwRhbnezRbpeNrCb/LBzeZ0GwO6SrVEc4Zp5mSRJu4b4bA/XgPzNw8Nu4qX5oVk+un5FrsOcdD0TbCOpFT5vf7twPnMvr3npnBvdfQMg3PXbWHzCCQ/M3Tbs7qPwTBDW7ZCllyQJ/X6fq1eusL21Bc09oOt3BEFSyrc99MHcC2WXH8yuJ3vR+avtj855IkKfeCm9Qa+HjGTjIeUzauI4ZjgcIqXivvvOcvb0aUxVI5Fkic8MdVgsBp99NgfVk0YeUWvbrm3BJ8V2xolzDumkP09sez9xZDgMFk+8b25vIVyEFJKsn2IFVPkUW1R8+Od+hr/880/zpS9/g+XRgDPvfTe/+7u/z8rKMufPX2KQDfjWt7/Hpz/5Gd75jqfZWl+nP5jgTI3WXl5UN14fzgHNvWc4GiKEv7fiWPTKMoat8Zg0STh69CiPPvwwk8mEF198ka2tdbI04cEHH2D1yBF/7aTE5DOkEMRRBM42RJ9s7z9tlmUU0+/3GcwqtBGYlaEnNITihZcusjMtsQ5UlFJWdTNWhCdJnGn61jXXWDRzdZ654zOtGpmtSOLwgR1VVbXPLF0/vIX51Pn9ZnmzHLr4B+n5mg/z9/Q7fvN97ctdIxUWjvPKDtaC9XdymFdQ9atCDh20vNZr0SsBaA5Zz2te9gPlDrrf61U69R+q6Ydp937zs0toNP92nZ+W+JD+t1PzH6vAKec/lx3iZC9SROw6s70AuYMQIbs+W9xnzwfI/Y+1ZxteJVLkbo+xhfNw7W1JCkesDJmq6amatJHRakkRMX/UXmxS+wZxV5v9ek+t25eDLxpds/bb4ey3r2svKmOxJeF67E/XhDeim79zN223f3tc+zPPGNFOUBnFrE6YVAllrbBWzPW29jvcbuZoL7L6dvvebru9Drb7mWyPr295/F3H3f18tHv5OnC503vSrmO4/dpwp/eOgxy3c2/4ifEYEQ0gLp1CNaBkURQNAOtBkOFwRNaAnB7ErFvd5jzP6fVSL5kUxRw/dqIFTWZN1LvRNUpFDPp9rNXer0PijU0Tb8JuTQXOomuLDwz0RulSCiIlUdKbdwohPfCnK5IkJu1lGFdTVBoHaCtw0pEkGbYuGTZR68VsRq0rjPQZB2kc0etnIAx5vo2jJssSRGxYHiqG2QpJ7I2PnRRoazFlzfbmhPE4ZzIuKEtHEg9QagUlQQjFrCipJjlRHGO1Y3rtBnWlkSry3g/KRztGKmN1dQWFpN8fYa3Xy/bGuhE72zOk9BrZAWyqqtL3DRZjtJcMs4JYRaSx19dO4rjNzsiyrNWED3JNWa9HnudY5aUrirJsyBC3ACJ4HfGYwWBAXdctcB2OBXOwIpANqjnm7ohtrTVKeqDIKh8xLByURdFmToQfKSVx85k1lrwqEXgQJpKKuqxweOmq1mRcSeI4Atk1UaY9964BeWhbAOmrqmqJB2NMmyERCIGuAbgTc0KkNUoOGRNSUpu5QXFoRyA+wvGuX7/eXpcAICZJ0rYheGxkWUaWZdRF2YKIAZgMx9rY2myP45yXHAuSXFL6zCzd6N2PRqO2L2gymEKdXXJCa084Sina6xskyQK5E65/IDG01j5aQXoz8/B918A+jJ3Q1gAwdkEs8FHp7bGVIktTnLNYo1FC4CTUumwlcwQRSipvfGzBYsltRZpl5KZERgkISSpjUts8OpQ1la5ARFTjKRevXefli9f5zqWXmClDWU5QSjLZmbC1PqbONQLFZDpBKksvi6nrEon3OSqKku1pwdLKEv3lZa5v7dC/tsnpzTH3PvgwJ46f4NqVyyhjkEJhjXcaEUR+fUv7bGxu8pWvf4MPffC9UNfY3gATp5BIsl4PIxyomGlVg42Ie0fYGTsuvnSdUX/EYCq5dHUKQjVPxhKEl2zStiGhcERSsLJ2jBfPX+Qb3/02dV1w5v77efn8S7hIMikLzr34PCdPnMFYxwvPv8ja6jLC9djJaz79re8jgJX7H0CYGiMV169tcPL4SVytKasC4TRVZEnimHqsiYRimhds5TnXJjsgBUVVYIxFKYkwEAuIfCqNlymKAeUnstWGfpYRKU/AB+DaawXhvZ+EIBKyzYboRouHf4fxv1c2iQ0xN13iAhoClzaTLHjhlIVBG4uxnUijDgnjnCdXjTWIPbIyfJYJOGdaMLklc+hIcy2U8OgqblpnAt8RTMd3kyeBlNhdZEOEd4kQYCHbJKwDYa0I618cx55sLUuscyRN5li71uI6pti07Q7HDM2ZN8szTHLXG2jILpnvJ3zGjvTkmVJeNklI6aUknfVjCFBSsrK83GbsCeDy5UucPXkEKfz6bzRESpDGCof3o0I4pAIlo8aHqW7bIqXEWIOUqnkZsbSWGM5nNFS6bkH9OEmIEkVeSHZ2xky2pgz6QwajHrZ5Sc0GI5YHI37zN/4GLzz/Ap/6iz/jqbe/kw9+4P18/Rvf5PLV63zofe9CCvgn//3/wH/33/43rB09xmy8Qy9NWTq6htEGZy1CKS8FWWukUqRZgq6rJu3dtRKOpvF/Gw6HSOD5F17gh888wwc+8AEee+wxJuNtLl58mR/84Afcf//9HDtxHJvnbdBDGGfOOZ/h1wQf+HsrgCKOEwb9jKKs6EcS3YvRoz47y0PymQ+CEM31jaIIbbUfqzLCGtP0s/ASagJcM7+F8/404SUfRPssMZlMEEIsZIPuHvtdqb03y5vljkvnRXz+2evTlFdWxN1v9x0c746JmtsAnQeuF157kqKt9/Wp9jWr99Wo5yAg152W1+l6LI7FOznC3nP5QMftEiJy/uPJD+F/R/4n/G0bUoR9SJHbSmF16z7ANrc+rz0GxK36cPd3B2nDvuUAhMyrUnads3RIZT0xEtX0oppE1d5wXQSxpFs3ce/3j5trfXVO88cgsmDfk5vTIfP/H/IQ+2y73+cHcxAJ5MZtUPPb1e12yWk5SWki8jpmViXUOsIaOd+pWStEONButmhXc257f2/2vWXfdY+5eyP/Ir7PPm7frw90XDrnetByE3FzmJ33b8N+h7qjtWuP4y6SctxR0MgbmhjxZtgS1zFC1tpHYvtITA9mWkcLcPQHg1YeSSlFUXj5hslkQi/LGI1GbfS90RqlIpQEp31UOcobX2qCSabFSQ+0VFXtZdsdWCdJ0543LdeGOMoQQlFqTSRTpIzQlcEJyJIeiDmpI6OMWAmyRLG1uUUkBcKUpJEgjiZICoSxpIljtOxQAh8RnmaoJAUZU1SGze0p00kJLqLIHcZInOsDQ7JB3EhHCURj1hzLmCj1oFihC+rakKQZaZLheg5tDFnmpYykEoyGI+rK4YwHVHRtWhmoKJLk+cwboZuQFeCJHecM2KgF5nu9ntcdb8Dn4PdQVRWj0QgpZetxIaWk1+uxtbVFHMfEceT9G4Rga2sLIXykaZIlLfjW6/UQQlCVOWnjdaKUbAgC1xi9RmRpijamkTVxRI2clRQSozVV5b0pAqgeALjhcNiCjjgvZyKFRCXCy2812/voUNVEg3oQRakIYyxFOc86CBG73f26xsFVVbXZJ9bahX4LUeThd0sGOVoAczAYtLJY4ImaWMZtFkggKULmSKhjOBy2GRptFghzAinUZ4yhyAt0yHRpgMmQpVHXdQv8BImwqvJa8OH8kyQhTlMipZBKMpvOGgxpMYI8juNWKsvh6Ed9rDXked6uE4KpUy0AAQAASURBVKHe0L9BMi0AYaE468E5/2OwzqE62TDh3MLvQLYGQqibiSOCZJCzCGe9tJEz9Po9L4GHN5qvjMZYUCoiiwdoM8VFAmks0hmU1WROEmmLmlg2L1zl6ksvsTHOuXJjyvbEMqssuagoRE1ZV4y3x8ymBaaySCKUkiwvr2Bd7cmRXo+lpSUQChUnrKyuUtcl21tjnNNsrF/j8sXzvONtb+WvvOspnvuuY5Ak5EXF1rhgJ7fklWVnOsPWPlvqxRde4MyZUwyzHpNoxrGVo0TLPVxlkHGEEhHDpQHWaFZWVjl56jQ31jc5c+osx46fwOgpG5tTXnjxss9saq6vdQ6hhJcFMhVaW3Z2JiAUSytrrH/zmxgUUdKjKAryssQ0Rsp1WeKMwxHh4j4705K6rpDWkQ2WmE5nfOTDH2GQZHzqk5+kdhoXO/JqhnMxyoExEDXSRnVhULGkF0UQQ6QUg6yH08aLmkmFdYZaWETszbR1VeOMpSrL1tjaJ4h4Oa7WmFlKXJNZ2AXgu2D/AgGxS2ZHCIENs7EBW+M4Jmp8b5LGC0l2ji2FCJSKf4htswjmpEVIdIYO8SCUNxk3FmssRjdZLmJ+DJ81GZ5HmscVt2Dn3im+LY1YFgKJN3qfh774zJb5uYYv5tkli4RSIFe6ZFGYnyEzrqoqTF2jOrKCwTdJqK6UV9MTu0ipkDWy1/l0+8s/jwjvtBIeToVb2D/LMi/VJX1AhUC0pPRoOCJLU2aTKZvrN5hOJoz6qV+bbA1CYPDSWNpYvDeYJxi81JnFOeufjRDeyB6Hw8u54UARTNn9+7nRGqTAlpbaep+uwWCAM46slzIe7zTkus/ci5ItHnvofn76g+/l9z/2CWbTHR588C18N0mRQnHu+Zd4/NGHOPfsc3z8j/+Mv/O3fo1iOmkN4/366DyfKIS/R7eZfo64kdMsywJnPRFum/FnreHkqZNsbqyztbXZZg+ePHmSjY0Nf92sxWhDlqbtPd/PRe8BFXzmhJDUWqONJbGGSEESCUws0ImkHsScPLZKXWuubewwKWb4Viuf+YV/9mzE8Vrcuc1ObMDocF7+OcQTHf1+nziOmU6nTKfT9j7VHUudD/YYd2+WN8vtSwsAhjftzov3G7LcRYTrFckziV2/X6t6d9f/WpdOva/pGHotzvdVOjfRPfZdP/Biec3n9R1el9vOgf3ObTehIfHefQpsDDbyPy5y/ncnYyRIaLVSWs3x9jVXPzjOe/C2wyIpcph+CAROuMq727kn6XqLEXHQuvc7xEG/3+MzIRxKOVRDjCRSk0hNLL3hevAX2e9QuwHpw3BK/y6VW2Hki9Dxzd+5JsCru/lBsPi9vz/sDfFwV6V5bKF56m5D7zw54qW0tJWUOqKsO6TI/LVyXqNY/ByYZ2iIzuP27QbVrmPst9nt9r+T4+577Nvsf+j23EnZtS7c8rCHGQb7HDesrYvSiQc/8BuaGFGNhwFSEEUxda0bs21vqC6lB5yyxhxTCEGcpDgH1ugFcHY4WoLmJb9uwBLTgNG9Xg8sDAb9xkfAomKJEA5be6mdpJdgmjusFBFVpam1I5KqiQ6XOCuxRmCtaUBx4cEl2/hL1JYkihFVTWlyJlszIiGJkghcjjSaSIxJk4KloSTrSyIsigRUhq4mTPIp2yVsbuZEaoiSQyI5oNJgXUyW9UmzlFk+Zms2Q0hDbSqsVQgykiTF4c3Ae8KTCuDBmlpXPqBbecPyaTEhkinaOJyTbWaIUoo8L9ne2UYIWF5earI5PFg/yPpU1RysDtrvdV3T7/dbj48gqdT1ApFStSSBiiLvMaI9YSGkIMvSNuo/gO5CCC/NZLw2eSAUcA1Q6PBg02iERFAHqSQ8+RbHCVr7bBHVtAl8xlFrfN58HsA0rTW9xEdpJ72szdAIUeHGWOI48f4e2mflCCHQxkfzBmmvkAkT/FICaRCkroJkVDCZD0bhQJtBo5SiKquWuCiKov1cKUWSpoim/V4KrGA8HrcyLkmSeE33JoI1GKv3+j0Qos2U6Pf7rbyXl9WxLSAZvEayLFswLx8MBm22R1faJU29sfZ0MvG+KdaSJR4o6spiBZLFOosQeF+f5vuu8Xvoj3AOAWAOfQs+Qjvp9zqR4vPo8rCPMYbBYNBmvoQMmSDBErwMJA7hHLryf8eJl+Spap+x5gAj2ydCjANTVURKIKqatWyEKC1yNmPr0nWuvvAiV14+z6Xr19gsK3R/yI6TzFzMpDZs5lvkJmeaF9SVIUsHDFdWGA6WWF5awlrDeGeTfj+j38uIowhrLG95+EF2xltUZcTGtYuM0oTxxlWe/8H3ePyek7z3iYfJNi9xYmWFqqgwoodNltmqNRfX17mycYPlo2v0RwNW1lZxVnD1yjVeeun7ZGnKkbVVTpw4xrETRxhJWFtdJor8nEt6MVWVM813OHp0haI2xLFAqagBRv28rxuiyWjBZLLDYDBkaWWJL3z5izz33MusHV3DERHHPcqipshzHn7oIS6+fJ5al8RRikoSol6P7WLK9a0t1M4OsYoYDYYM+n16wz7TesYk36GXeS+cgUoREoyrSOKYWEpwjl7cEI8CXDlrov8V2mqMs6gkxbomGwRBWflMMeMENGOoHcPOZxlYBKYZu91Mke6/u5kPC9kLYZvmSc41D3Nh/ldVRb/ngfRA+nvywgO4uzMu2oyIfUOBXJNl4EkMQTBUt02QgieWffKPbAKTRSOztXjQsCZ1o5eFkCDmEfE++IGWoGl/N6RId77O95n3YSBKQsZYWDen06lfuzp1G2O8L4qZH2tPcLt5auw+azlcE6zRvJ23bWna0xjPC7lI7grhSJLY+yMhsNaxtrrKmTNnqKqK4WDA5uYmo0GPra1tZvmMlVEP2YDwUvi6pRTEQiGY3y/9PVc0GbQVzlqiOEHKxnukIXxkaK9zPmijkSCUSqKtxlk//pRQVHXR+qC44GVjNSqK+Ad//+9y7kfPc/XKZX6U/oCf/7mf41Of/hwvn7/Eo489wpNve5rf+pf/ive88+0sD1KKOqecSXDGk6EqQjt8tqAQjZ60IU2T9r7S6/Uac3nt79fNPf4tb3moCRwoiOOIXq/HPffcg1KK2XRGFEXkM72wtocsxnAPq+qZlzm1PpMkSRIi6cgigUkUdSIZ9SPWlvtsbG0xm2wTJT3qqiBOM3Rl27loXJBtBOfm2bNYg9Z1ew+SMmoJ0nB/D/ek+RjcRQq+XpHhb5Y3fhFzTuTW4Y1vhHKXGh/4oVd6uDsgRxbviHfYgFdAytyN8rqB76/R+d7t87sJlHuVyo8F2XmA87ttZPltEO82S0SAUw0pEjXESAImdp4ICcRIeETbTYKIPY7f/fde6+WdXL+FOt3Nnx3k+PvNgVuSIgc47n5l9/F2D66Dfr9PW4QEpSxRZDwxojwx4jGu28Pse93O3tC3tjsobS85d8ePiLcmVrrf7C2BdfN2r1Jxc57DtXU1GSN483VtJbVR1FohrKSrMrfv+NzdAQed82G727AiC4fbqw2HYi/2ad/uY9+iXbd8BHwll+9Obj53a7h0n+fE4Q/8hiZGjDZESiIaz4Z5dCgkSYq1psP+eUC0KPIGRJ3L7QjhozOxDistadrDWYtEYGxjem0Fm5cuEkWKwcADZipWpFkGeKksKRVxlAIxDk92xInA2tpLeAlFrxcBCiUFSSyZ7kxJIkkcS0onvfEUJc5tstwvWVsZAFOErKmqMc4WJIkky1IECmf7jHOJNQl57nDJEGTM0shS1tZLRFmLixxSKQo3IZ9O0cZS1w7rIE1HJHGEUl5GIoszjPEG13EcU+kKbb1UljaVB42ENz6vsYhGSsuDXN5Q1uEYjYasr6+zvr7BkSNrTZ97j40kyVpCpKoqnHPeXLWRJzLGMBqNKMuyJR9C1kGWZYDDOg9izWaz9vqnacpkOoXKS6LFDSm2vLxMXRY3SUxJKVvj7ADOB3+RIOlVFiVlUXhT8Aa0mEtwqRb4DyRGkHcK7QZagsBaL7ERshgiEfuo+A74WTSG7oG0y7KMOPa+I6HtURS12RtVVbUa8rsB+lB31JjMhn4OgL5zjlprispLxxVFQZ7nHDt2jH6/30pnhWMF7XNvGF97AMs54iQhLwsPXmmz0B9SxURJTJb1fIR2I4FzpNF+397ebrMwlpaWGlJTzklJ5hHzoXTJjTyfzU2em0jx0H8BpI3jpO3PsB6E7I7QR4HgaokSpWjSzcB5QDaSCmcsUgh03RB0UoHz65FAoIREIYgQCKWQeB17bQx5WRClib+ZRz6zSFca1dzeo9pxLOuTv3Sd57/+HbZevsy1S1eYVBWbTjONFawd4fJ4TK1SdooZs6JgVm6CNNxz6l6GA08UzGYlcZJRaY1UklOn7yEvcsbTKSvLPZJUceXKNYp8wuOPPszFly8goggVJ1y5fInzL73I+558jNPHj1FsbrI8WCHurUJvhRODHmcfPMu1jXVq69AIkv6QKO1z5Pg9vPDCi3z5S1/i0mc+TSrh7JmTDHoxx0+s8ejjD/PoY4+yvLwKGCbTda5fv8TGxqbP+OrFlOWMovBEo4okurbsbE9QUcTJU2f5kz/9BJ/70hdYWT6KcKqRK1NMJzuMxzs88siDfPXLn+f69Wssr66BlAyXUnqjU+iqppzOMKXm43/4MbJeHyvAWEEkUkQNmUxxCmpriKRCxt4QXliHctbLD8qGUBCO2tYYHChFJARpFOGsRRvTRKt7yTbdAO+mA+K3xpAdEH+3hI7ZNe9DFpcxPutQNt8FbyLV+FNgvb+EGXrCOWQldks38yT8Wyrl63S0QH6Yb+Ee292nG2Xjj2cXsjj8d7I9z5YQaeqjyWCZkz4S8JJTAi8xuTtDRsqoBbi75Hm337rraFgzwr+3t7ehs59zriWfQ8bIXAprLsPl7w9BIlA1QddezlDQeHV0n8OarA0a2UchRZOl6H1A/BrnmuulGfQHHD9+nNXVVaIoZmt7i+k0p9+Q/uPxhPjMSXB44lX6+6oXz20k6HSNafzPRCPTpiIv25dlKSiazL4KXWsM2mc5StXe24T0qnZKqJYI1k4jtCBLfFaoED4KSyn/nNNLevwn/+gf8l/93/5rdjY32FpfZ9jvoxR85Stf45c+8vMUszEf//jH+Uf/8B8w3TEIVxNFkqKqkdL5PqXxclECLFhtiITESU8u9pIUkWVYMyc32nuC8wSVaq5hIBTLsrxpfu2Wn6PJQrRa++vuDGmskM5hjWyIkQR7ZBmLQEURO5OcWanRVYGxPgOThpzSHTJNa4MQxpPmHeIuPLtorecBPA2pGbbZPV/D3HmzvFnuqAQuWARc7o0HId31Zt8FsP0Vtekukp2vGyD+Wg6j14MUuRt17hWx/CqUu97uO6n/MGP6IJsuBKLQAmDBO8SqLhnS/B2zmCGyHyGyVxteKe67F4nT/esw9e76zJ+/2/v7fdmB25Awe5XDEjYH/T6cf/MjpSVWmizSpJEmkd6EXQmfjX7I4bFYz55/7/Xvu1te27iDLrLf3OAPXfkuduBVQ80PV1zzv72unmNuuj6X0RIYJ70Ju/Xf+0C+Tpt3ddf8JXZXXbc5TdH943YX3C38arddUNHbk+S4xUEFhOi9mwj32x53V3vuUmm5iFuRp3e9wv0+E/tvs095QxMj2hh6Mm28LRYjxD0Q0uiKMzdMNUb7SNaOmWr4Hcexf6luoiqxFmUVLo4AQZL67nLOMMtzyu0xaZqwtLTCzvYW1sDKyhGyzIOnQgmqusKhqWpvxK5t7ceLtV7qxVUIoM697n8/y+hnEZmUJLEjUhOsK4izCDdMgRREwmxiMC6jKCVVlVBrRVULTImvQwhQnkAp65qinlLm2xgNSiak2QgVxfTigQeTpCOOu1In3vxVxgJb2VbqyhgPunjAMmrAFo21NVnW9z4bccJw2Gdra4t77jnL9evXyfOctbU1yrIkzwuOHj1KnudUVcXS0hLj8Zg8z1siw1pLnucL0idaa8qypCi8TFJRFK2ZdwCzJ5OJl0RJ4hYkC5IUWZaR5zla69aPI5Abxsx1u621rcdMv99n0O9TN0D/dDpd8CEJ5I21liNHjqAbM/F+v08sFWVZUuY1g8GAJEmotW5AseB5U1FrLx0UDIFtA87led4SQlVVee+UJnshgKIbGxutHFSXUAj/bgmQBiRL07QFifI8J029x85QjNoMiGDSPJ1OMcbruIf6Q0ZPuP7UVZvNEsge4TwgGUzRu6U3GuGcY3t7m2vXrmGtZXl5meFwyHg8bommQPJ0M0mCuX2QGQtSM7Yx0Q2kVIgs9sRYhPBY2oK/SDerJJA+4bp2JcmC9wDOLEiCKaWIG9mvIs9bYDZufHLyWQHOem8R5yiLEpko+sMRTsKsKpuIekGaJNRFSeocZ7IVvvKxP+bc579GdWOTxEnIUkwvpkoT1p1jsjNmRxsmkx3yqkJKSBPFe971Do4du4dnz73M1k6BMSCsoygLTp46hUPy3HM/4G1vexu9XkaWJqxfu8LKcI1Bb5UH7nuEZ879iN5oxNb2jM3tKbPKcu9bHuPFH/yApbXj1C5Fq5jrN65yeesK/cGQXm9EZWE2mTDbnqCyPmcfeoiHn3yC9StX+OrnP8WPvvcdzh4/wk4suXD+ElVtePrt7+Btb3sbGxubWGtZWVnCGM3K8oiV5SWKcorRJWVZ8Pxz50miZayT/M5H/w3f/Nb3GI2WSaOMqixBCIw1RDJme2ODP/rY7/PAfWd4+fzzFDcK7r3/Pu+DVFsiBYOlIbOdgrrwfiEbOzsI4YikJIuiJgPEIKPYk4pC+SwJ4XDCZyg657w0kpRI4aAhECQCafHbN0Cts67JIGGBRQikQJes7YK3c8B2/l0Ae8MaZJqxGkD9qqroZU0mWbhXNmve7uKcX/ODGfdNpSE6uttLOU9qD8Sizz3w5IeULLSvJTOkoOsXEubYPNtlV8VNXwVPsN3t7q7XXV+Rbul6i4R+Db9D27trZhzHXsIJ19nHSyJ1PZq6wLZvpn8k3asNzYbNmhQ3gD2tdJdzjqLM6fd7hCEym83Y3t6h1+9z/sIFqqqk10vo92LW1zeotKWfxt5/Q4TAD5+JWGuDNqbNnE3i1N/LrUI3JHqcxvNrK8KztW2kMFOs1dRGU9cWpCSK/D249VlyXcKYRtbLUuRj3vvup/nQB9/Dx/7oL1lePcIv/sKH+d3f/z3yPGc8GXPq9Cl+7w//gL/2732Y5UGCcwaHYzjqUxQF2lQoJRvCQBGrhjRrrgNNJoZwNAQVRJHsZGSAdbpJBJrLq4UsRdHca7v3l3ZsNONJSAnOeoJFKpLE3/OQEiclVgiIVpGR5Pq1Ta6sbzKZVURxjENS1TVKpsRSzSX0rAUsSIEU8/Hk3M2+Ot1xDvM5OM8y2nuYvVneLLcruw3C29vRj0V4+a3LAvHwKsyBVyxp9XqSIuJ1JESa+l+r8rqc53639sPu2gGMXpPzuAvX5Y7aeZAx/QoBegdeOqvJEDGJwCRgep4cuUkyq3uc/R85717ZBZT69WUXObEviXGrdrn999vz730IlNel7EFUCEekLGlk6CWeHImVJtpDQutO6hGv2fn7ye26k/zVrvLQZS/E+seztGjkPutl13XGB9012SJIjFPYMPmbG3uX+2hLl0PqkhsH7KI9j7lf2ee4rvn8jsfJHveUfcmJA7TnlZYF4uf1GGq719ZDduwbmhiJYw9M1kZTl7oFJ1UjT+QB/znA5F98m2nUgAJKKSIZtYCq9yDIWt+LosgbxtGiGtmdKO5zfOkIdVmja42roZzmGFMzEWMm2zvkeU4U+UyKLMu8RvdaijaeDCHSODFhtCrp9wTOFgx7ikjOwDaZB7IPViBNxmxSUZaOWe4oKslkasmGPYgjyrrARRaROvrxkJ5NmM0Kirxgs6iZ5iVCRgz6y4gswVmIkwxrFaPhErNZjjZTyEA4S1l6qSTlYkTpiRDva5GiVEKk4kZfXiAiRZIKokjg0GzvzIijmFOnThHHCikFg0Gfa9euI4Sg3x/QTzNMpdvrEvp9aWmpjewdjUatxEUAsfI8b4DskqzXI0ZRFDlKef1z8EDYqJcxnkxawAw80KSEN/Ku69pLXTUG3tPplNFouY22DmRCAOlD5odqoqid8/r5cZJgnDdQH4932B7vMOj16ff788hlLUHPwTsp51kLxhiEVCjhQTld1mD8OJWRoq40KysrBF8Oeh7gy1I/NnGCSMUEOZw48mBX6M84jun3+wyHQ0BgjWVra4udnR36/T7OOWazGdoY0t7c7D5kuYAHVHd2dlqz4rn8h6SuKi870ty1AhkRRRFJnNDved+HQCTkee5NdnFkgz4UhQdyjWZzZxtTeU+Trol8yDoJhrmj0cg/dghfX1UvSrL5ee2znaqqoK6D1I5ovVkCiBz2S+OoNWFXUpLGaUuAWKsJXgA+EtwfW0paL5g8Nw0wqTEGnJPEkUSXNVIp4iRCItHOMCtK0n4P4yCJFVVRkQpJIgRH4h7P/NGn+M5H/4y1JGOQ9pkqmIxSrgnHuoXrRUmtHDt1TQn0VpbIYsFSrFlbGpAIGP3/2fuvYNuS/LwP/KVZZrtj7rn+lvdt0Q000ACaaIAC2IShSIGkSGkkShrKzIQiJmYihi8TetLDvIzmQREjzoSkUASDHIkGkEIkSIIk0AQJEFZAd6NNVZd319/jt1kuzTxk5tr7nDq3rqlbjlPZfeqcu/cyuXJl5sr1//7f9w1HNLWkmVUonbE2GlJ1Hds3bjHa3OT8pYdoqoq9nR3KYoNHH3qK2WHH5tajqLdu0XQSVawxN5J9IymLDdS5R7nZOLJ8yI3tPQ4X+2xsjBgOB9za3maydpp515LnA6z37OzsIJXkqccf5Quf/U/5jV/9x3SzA6bTim9/61U68xL/5B/9Np/73Gf58pe/zKOPPoLSA1598Xnm833+/F/4szzx+MNceft1Dg4tP/enfxovB/w3/81/xwsvvMCZ02fCQsg6cp0zne5T1wu08lSzlp/4sR/my1/+Ed66cpmbuzss5gvWhiMKLULivvXk6xm1cSzamtEo+Dp5a6HrmB9OEWWJyjO6CHJLnVHoEqXkUgpQBiksKRXKhXyUIG0UGASus3jj8Db8HE9YSfOTMWYpicUy8H+EleFTH1yCEum5Zq0F59Fa4aRiOBxFua8on9c0KK0DAyPJStngJ2LjfJbmvnDuKPd10qImZBaEeVB4vHB4EWTDErQuZGBHOBdzemKQWsbnbqp7H+iVsj9VGq+B7SUI2feJ3Xn0TTMB56uB5bQOWLbZ8jzHwZoUKD8CdsS5OrF0ko+ZT1JYPkkw+nBf8SB88Gzx9OCPIAYbV1+MfZi3tJJoGWSwnDWMhwOctWysrUffpJK9vQOE1BT5IMy7QlHVLW9ducLDVy6yvjYgi6DAkcC5VGRSobOcxaJCaYeQAq0lxgR2Y1ZmPZAshA8Amk/SkRLIkFYE0JnlWinlaEmpkCIYyTsXAAQPaC3Y273Ff/5/+I95660rXL78Jt/OC06dWufa9QV//+//ff53/85f5E997Wv87b/7d/m//p//cxbTA5xPrERPUWTxfCJ4TCFCtpeM9885vDM4L+JYCwCzkmEfLwm0+T7S6wkkjrhxlLiT8V55eTR5Rud58GixNp4n9gMJg2GOF4EVlGWWTCuKTOJ8i7UG41z0pgJkAESFhzTCvA/9y58A9h0HIE+S1UufhXH1Sfmk3EcJw4k+Rvd+BATfzyL4YDMP7+sY93GgBwlsfMiRuCMB6PezfFjXmeblu9zc+2PB3Y9WpJQ+O+KE8p765Ltc591mZL/bsRPwYfP4UwRAxOWRKSI56h9y/Hyra7Pb1v0BjMrVY90ToJGSbji5nd4NVLmTmfsH3gdPuHYBQnqEBB0N10dZw0C35MIiRVjzv5tR+G3PFX/3sdEVUGoZL30/IrdLcOTe6/2gyrtF2T8eT3of/+NX/73SouH19ChTJL5t9n8T382OyNWt/qw0Rb8UWgVH7qqSK3+eNI0eb+7jG6wgGf1p77TPO7YRK9fjj359m+s4vv57oGW1bh/Gs65fI4o+2eVekl4+1sBIyvJTKHDvlMcKwZHlC6Ux7UqgKWqxh1BHzxhJ284XwexZ6wwpC5pmgdICKXPwEttZpFAUucZbw2Q0AAqk9HjXko8lWa7Iiwlta7HGY2xDiNconG05deoU47FEyholJEUusV1F07TMa8d8YVjMW0AzO+jwTuNsyNTPizHlYI18ULC9v0NZZuRFyfpwk3YBdXWAQJHpjNFwiNY5eTGIbZQCxR1dU+FtA97S1o62a+i6ZPQt8C4E2Tc21mmakFmfF5qkYy6lPQIahaxvy+HhYa/nvr6+Ttt2VFXNaBiMv7d3thmOhsFLgqWMSWKBLOYLBsMBZVFSVYsgB2MMk7U1FosZLmZ/BlkoSdPUHB4eMpkEKaa8LHqZihQ4LAclTdMgpewBknS+/f19lFK9l0bKIK7rmrZuekNXAUcCa8mvoygKhoMhWabp2q4/T8pG7oyBmN1tY8DPe4cSS+BFR03zxAZJ7ZjYEaPRqAcaki9HUSyv03nb1304HAIhK3k+n+MdjEYj1tfXj8jLAAgV5MSapunZH2VZ9kHDxNTJ87z3F8nzPATNVjJa0/3uuo7pdMoe4bN0bSEYa46YSK/WX+Wiz+JeerIsJWycc3SmwyUfgFhWg5tAlFpbesCEf8seLEp+LEeC0seCzavnXs4ly8Dxqo9NAj57ibGuo8wLdBYykNuuw3qPzjMGpaY2IZsb64LJunNslkMOXr/K7/zTr3NmsB5YS0pyK7NcaSoOioz9pqOynqataL1n4+wZykGJ7xY8/shDVPMZ1y7vMa0EdR00NsvRkNHamIPDQ+q244e/9GWKwYjFoqIoSs5vnCHzwd9Aa8nFM+d4/e03ENZw/fo13rx6lk89/QzZesPetZsMvMNIi9IwO9xnMT8gy0pGo4zWGhrhaHyHFJDnGS+/8Dz/wz//NbavXKabz+iMYrJxgdF4DSEF3/72q3z9679H01R8/vOf4uyZTa5de4vvfvd7/Fu/+At85cd/BCk0V6/d5G/8rb/D3/8H/5jNjVNkmQzgs/JUiwrXtZxaX0Ngqeo5r7zyOkopLly4xKKzZEpRZgXOdZguPgeEJM8Vo/VTzBcLlAhBzGykyTKBFxmNsdSzioVz5FnWy60F+SMZ/ucF0gfJJylCsNZa08vJGRf6u/FBnjG96DjvAxBDzLj3K3y9YwF81/97+ezrA7lZRts0vRxgWZaBhWQ6vAjL89Q301zinQW7BF4EBHDCE5kDUXYqylSuBt6DTJaIY285VwYgJYIckVEgxNIsPv1OfyuletATAtgCiaGxDAinfdIYXAU9jh/z+L9Xx/Dq32nsprpba494EKXP0vUGGSTRs/OSxFZKsECEF6/V8IdYue4gZ6ixrkNIFcY/yWtKR0k+yfb2LR599FEmkwltt8/rr79BPiiwXjCbzcm0ZF41zKuara0Nuqais21o91i/LDGezHIuTdevVBg3YzHuEwO8c708oFOS4EuiKHSBx2OOzMUWISVaRKlC0+Fj/5Q6GJDPFwdsbpb8+V/8M/xX/8//F6ad82/+ws/zd37plxkNSl5+5RUefegCz3/nj9k/nHNqfR1nGrquiQzO0OcUHi3TemWFsSMAF8Dp5NkVkgdarA0g2nFwDB88WEKUZMkelDJIjIXPbJC6NDYY0FuDNS2qZxSFuzsehsQBOa8R3sHGAGtP45Bcv7WHM5ZcZ3g8XQQn8eBEkDxbtYm8U1nKudFfi/dBKuyT8km573LSy/lHLlh7myKO/X4A5XiM4YEd/B4O8846fDDnfdDlgV7HvZQHed/uotxbYF98rIZYKg/8Xt4OhL2PcbLqI2ILgSkjUyT5iCRA5Ph8ccK5bn+d/jaf32W5HfByEkDxDmDj3Y/3rse6n23erTzIjnsSOKIcmbYMspZx1jDQHZm00VtkGei9u2ocA0XEiaeMf79fIMH7Abh8OOUIA+FDOPcqlLV6Z1PPWJXScseX1YIArElPyITy4UVtBRxZ7Vce3pHMdqQyx4t45/fv2P1OxxJHP/MkEO8O57/tGu5d7tRxVYj3clPfrXt/yA+6I8/m+6jLxxoYSTrq0gWD3hCwWUp4AFhncd6TZYG9oXUMTbkUdFnJtkThBRi71BrXWuF8yIRv2gotNFIIbFfHYJZDCIcSNVJapHRYgiyWt7C/d4vprKIsx1RN8AWxHry37O4JMuUZDQuKXJIpg+s8hzNLhUSWa4yHmwzLNWQ3RSk4tT5gWHqUbClLhTUOujGzmWHn6pxdZRGqIMsGaFWipMb6hs5YWrMAAeVwEE1yDYezGUoqhFJ0laRpJEoHE3YIkmNR5R0lPWCQIrSztZ6QBC1jgEv2QHXTBGmtPM+ZzWaMx2MmozFaKaw1lEWBlgrTBOAlVxrXGYTzZFIxmEwCy0MpMqVZG096dkfXdeRFjrWO0WgUfFDaljNnTlPXbS+jlaSkuq7j9OnT1It5z0CZz+d90D4wWYZ9v0oAQWAPhXp675lXiz7g4gV01qxIWwiqumK+cDjr0FGn3jiLcRYllkF3gDzL+0D91E1RQuKMpTZViqgxmYRrTvJXCUBJPizJ2yR5n3i/zEjv2ylKhqgo65Vko1aD+QL6YGCSzRoMBkfAggTIJOPxpmmQQpLlug+irnoGCETPPkmsoDBmVc8KMsb0cmHGGEzT9syQBLKkbHAlJELrII8nBQrVg0CrvjHpfiewI7VN25r+2CnLPNdBes+iepmhBPwoCUWuQ+ZBCkatSPekY9R13bN6VoGwtg169sHsS6B1jhOCpmrxSgWz5dmMkVIMPIjZnN//F/8SKzzNIMPqnJsY3nI114Rgr65pG4sWmmJYsDYa8djTj/PmG29C07E5WePsqQ1uDlq+9/3LSJWjvWU6nTHeWOPSQw9x+e2reDxra+tcu/w2WnhGmUSbilJZ9g72ubA55uY1Qy4M9fQmt669xaUL5xltrOGvX6epD5ntXgMaioFC5xmdadjbv45QOQM9QFiDF55Xv/8y3/zGH3Pr5k3yTHPh8Sc5tXGBydpZBsMJeZGTKc14NOLK1Su8+P3vMZu3PPzwY7z19lv8zb/xS7z68lv8xJ/4Cn/nl36Jf/CP/ynjyTrD0ZCmrsF1NO0C03U89eTjHBweYIyH2vPq628wGI7ZOn2ea9v77G1vI1rPIMsARTEo8Eowr2vW1yecOX2Kq1ffItMabwyjUYkxijJX2HJIFwFD2xo656jnNVIG1mKms2DUnGXITCO0DNJt3tFag7Eh69w6h02BdGLmOJF9sMJ4OM4WEULgXfQoWmE6pN/Ch/kkSdkVRbGymE0yQqYfE1KF+esoCyAuQldAQaUU3iz7/arslfAxyHuM4SJkMlv3K4DKEthIoGw6fhp3zgcT6nS94E8EQlZBj9Uxf9yAfRUAWd0ngc9pvk8SfKseJVmW9c+JBEattskStF1dwAZ2TADIIFJHQt5YD+q4/nmmlQ5Msnje+XzGaDTiM5/5DJ/97Ge5cuUqZVkwHk+o2pYsL2k6Q2css0XN5avXOXN2i0LnOOfxFqzz2M7Qmej3FRMH0jlW56a2bXvDb51pHF1fT+dCX/XBYgaH6PcVUgVJNC8DW0YEH6V0LaMipzGWW9vX+fEf/WH+zM9/jX/yT36Df/ZP4PHHH+fNN17nG9/4FpcunOOHfvjL/P1/+Kv8h3/l36G1NWVZYm2L8D6AlFJABOl86CDhPvbzMEiZPMECyBSAdRWfg2Htklgmq30pPbOSR48IKAskoIUkk6dACqwPXCitwvgZDTO8tzjbInyG92sgNM5advcOqdoOh8Q7gdQy1oSYqe8R2P4d5SQZreN9frWcKHn3Sfmk3G1Z7U8pfvMxitimzMz3pZwYkbi/ct+yXO8X4PNBlw8UFFme7AO95nu8xo/tzP0e7+Vtx8L9tJ8gmqwHZogpBLYAWwbWSA+IrD5W30dQ5E739F3BpRPq5e/E9Ljd5x8aKHKXEeMjH/s+aC2VQypHpiylNgxURyENSjiSwsvqUW5fHX/k73cDRY6H2f/1K+8VmAn7JwKCEB/uMuH4nfUr7JBkth56iwzrbp+knT1SerR0OOmXYIh4l2u5XdPdqUlXvr8vzOBO+698f+Ixjg+UE7cRPThyr73jY7REPAJ63U/5WAMj1jratgkv8SJlCa4GLmUwWsejlEYq0FIhSBmvEqUyZJTSqusWKSRNDOKuBkS1SsY9NiCQokXggA5nG7xrGA4KRqMCfEZZDinLAeiSWzszqkXHbN7gvcQaj5QF1oIUiqZVzGYduVaUxQCpxgyyDK8LukZyWC9C1iGe6bRif2+OsxXDUYkzFqUGWJdRDEs65/ESZBED4c4itERJHTwhRJBJMc6gdNDec8KhZRayvLOCPE9SRgaVgkPOB1DDGbquBQF5psmykI3vYgbnbDqlLAqKIjAv2rZlPp/T1DVrk0nMZg0Z1lJKyrKkrus+UJXaPMlmpQz8FPA7d+4ch/NDrHNowr2p65pgot5grYMOypXMXoFgPp+TKRnOL2WfAZxHU/OwcgvZwcmzpKlrnA5BLGPNkpngXcxiDQ+O0WCAGkpmszlAzBBdSrwk9kfPHuk66qYms8tg/JKRICOYF7LMk19G+E70Afjk6ZG8V+q6Zjga9pIzq3rqPaPE+X7/VUaLdytAYqxr2if5p6TM7sViQVEUIdvYWVQEV9q27YNqWZYhYxBRiqW5fQqM9vdFBP+XtE+uliDLEqxcBnCll3Ru6QeSrnPVz0DFYyQQZzVLfDWzPbSt7YOBdV1HubNlENUY02v+J7AmedKEYJzvGTIJSEv3OBsF0/jF4ZzOWKR1dM5icAzHY2xryVBo46BqeO2FF3n7lVfIc80N2zEVgtfmM7bxzAU4pdk4fYoiU4yHA5597lmu37pFniuMyLi1s83pjXXqpuXgcMrk1BrSdwxHY4ajMVtbW6ytrVFXFdVsymJ2yKWzZyhzTaEzDnb2ca7loQsXubm9yfbODRZty8HBLm9fucznPvMDXLx4iVe+98dkrkMXms5a6tmMtc11EI7pfJdBOUKLnFdefZHnv/0iB7v7bG5sUIxG6PGY/XbBYv8a8vAWa+sblFlJPsr4Uz//kzz57JN87zvf5uq162RqwM7ugl//9d/mD/7gW3z/5ZdZXz9DUeY0bcOintMu5mgl+Kmf+hMURcHrrzsODmbM5hIpMqra8tDDj+G15A9+73cQ0tF0NQ899BDlaMSsWnBmcCEA5kpxeuscBwe77M+mFEVBpgJDrCxyShGAh96PxnuapmZRz7HGImWQ3xsMBoz1hM5ZWu/ovOsz7j0+WAzIaAHnY1DfATYs2laD+6l473HexbG6HB99Vrz3ZFrTRPZbkecI78lU9MogTG91U1MUQSKQyB7wceUbzhHC4EB/XK98kL/zS5PzUL/0arG62PTLOcfaZaDZR1r5MbbI8ljEufdoZnwad2mf1QDycVBkNeCdPl/dZxXcWQUJVo3b09yXmKOrZRVUXQaql1JhCLdc1K7suxrUXrLLAhgV5sMwj5w/f45PfepTnDt7jsl4jW9+81vUjcFLSWdsYGTa0I6dsezs7dMZxyDPECLHCRfWzX7pO2NdYHe0ca5PoNBoNGK2mFOXYR7XSscXoKMAsEwMIoiJEA5vPVKpsF6I87sQwXwdAU3b4KXg1OY6Essv/NzXeP573+fy1av82J/4KbZv3mQ4nPDqK6/z2KMPsbc7ZXt7l63NNZCOTAQZKtu5uH7zGJteouOg6YG8CEbJpVxieMaFpA2PCrJX0ecnsUtIDBIhkEqBCv1w1SerKAKgLqOPlbVdek2M8oowKDS4nFyBR+Jljo0A5rWbuzSdQQodX9BF6uaR1R/Wc+KkIMixsgrwLfv/J4yRT8p7K0cSDD8msaF3gCIP9G39wRzsSB0/jGiCWKnHsc8+vPI+VmA1qPwBnfKey0epLh9meQ/t0IMiUR7LZmBLgRlG2SxNeKyeBIjcc93uExQRJ3x/p7ngXkCRBwQw3XW5W1DkHThIerqc0I4rv4UMwIjWlkxbMmnIZfQWEb5f7d0pWX715GJloztVPzFGHiAe/q9NWQWivF9ZK3xI9Uh31sVYXXzT60ER52U0XF9+JgRoHfqXUQ4X546o/NwDJDGP7dhFn1CZ49d/v+um2+CGdwW+nFTupR733Nl9+v/R098NEPMhlveyDvtYAyMuZuN6IVArmapZlHXK8xydaZq2DS+VXvaB8iSv4IQPE7D3KBkya7WMGawiOOhK4bFtTakFAgNYisIhpSHPRGBc+IKyzFEy6HgL4dnb3cU4TdMJTANlXqLzEbN5jfOSqqrxNhh1CiEohxNaZ7HOoayk1BKt4fBgFx2DWY2HzljmC8v+YUNRlugcxpMx3rTYrkYogVUNhhqhMrJMIWRgL/SdWwWWjco1+KBNL3EUWR7kNtoGqQSDwYA2GrbmeYaWGV6ljN8M7yVtswzsS6nRWYGzgQ3gXNBlHw2GTMaRBeKC5Ecb78tqUCLPc+q67o2/kxdGkoE5PDyktS3WBd301aCYsR34EExp2zbKa3QMyiG5LjBdg3Me07W9hFNdN9FAu2E4GrGYz2nbjixmNnvn0UUw686Gga1RNSHQj5RIIZjN5+H+4IPcVNviIfQ7KQKIEwPpSSoq09mxQIeLEmYaqQVltgSMkrxLYlkMh0OaKJ2TDMhD5rXvAZ9wLwJQEcAHj+lMf/6epWEMHlCZ7jOIE3CSwKrFYtFnfyewJMuCVIiJwcR0nqYJTAlHmJhcHI/pnAnMWQUXkt/HYjrrDX5ToNI7D87jZdhOqKMBzxTI1DpkQoM/AsIkv5VVUCSxTNrYD5KhPYSFkncWF2VpjLEorfp2TkWpADwOBoMImokgo9aZIMHiLINBic5z8lKhpGZWV5RZyG7O4gNZObCLhue/8R2wUCvJgZK8Us84LHMWTmOt5/TGBpcePs25cxt891t/xGSYYdYn3NrdZXL6FNPqkHljmFcG48ICIc9LTm2eYpgXmLrh0plzHN7cplnfRLsQhLSmpQYab8jGAw6mB6xvrHE436PDsbu3z7n5gv2DA86eOc03Dg4pbMtwPKHpLHlZ4HA0dYUSITPjzddf4YVvfZebV3c4d+lxJqfPcn3/kP3tPZT0rE8GbG5sIHRNPip46rlH+ZmvfZlf+ZWGzjzFzul1Xnnx+0idcXN7hxu3bpEVA2SW0XQtTTWjrWZo7flP/uP/kM9+9jP85r/8l0zGBbs7OwzLIUoXCJmzcWqLhx47h7cLDnd2WJ+MkVKxvXvA91/8Pmtrmzz+6BMUMufRT3+BLNfsHu6zs7/DzWvXmR4eUFUVWRb7VC5DMNV7dCYoBjnWBRNnay3TaobPQ7/uTPAcsImFkVY9cZEhic+OGLwV6p0SUQn0S4ysNAesggpaSqrFgjzLUFLGuSYasvvkISKomgYdg71KZ7jIrsSD6QGZUCfjLMIvpbtWpb3CgiMCybiwuFQCFRkfwbckWDkIIfugtiMwOKWUEeinBxcDIHxUPm9VPiu1xyo4fFLm/PHs+gQirfpNtW3LbDYLbad1Pwcl0LY9lhixZFL4yAQLz/dwXyzgkSq0W2rP43UOx1DpU0BgTXimlWXBxsYG8/kcKT0PP3yJyWRC3exRV+H51HYdprN0xmBNFjzEmpazW6dwtu1Zc845nLEgggF507W9zJq1tp8Pq6pCRi82KQK3InTMo94WMvpvrLJm8GHeRUpkZJA4b5EisHiF1nSdxZiGxx97iH/73/5F/t//3d/kV//xP+SrX/0qzxcFr7/6EpcuXWIwnPDbv/sH/OW/+Oeo5gcBNPImmK3HMZLWPikpwcdXImddeP440z+3pBJ9+4ZriSCPCp4o3i1BsgDcEZMc3DHwnPhsTMkEoLMME9mXAshzhVIDyjzDixp0eN6FFy3BzsGUurF4KTDOLesUs9zSNTrv3tFv79SvPymflPdUlo+i5b8/TuWDGA+3C7h/3M77Yd/bD2ju+siCIv+6lHsBCN5DeQf4ufqdAKfAaYGLviKuCJ8dkc+61/qetO19gyonfLYKeKzWLyZ7vINRc7f1ObGOt7kbd3OOd9v/nsvtQJGUTOURMgSti8xQ6I5CG3Jp0cIeMV1/d7bCSiJS/M87t32XaxLH9n/PxT/AY72/ZRUHeGcR/TZJAPpBkZXFsT/eEWNPCVnx23eAI/HvpZ/ICkASPw/ywh4tA+jmlcMp34On3q2AIWIJ/vRtcjeB/+NAxp1uur9Tm9/hGP7Ir5M3PenD93TfRBgjJ4Ejt63EB1iOXZs/MteE337187soH29gBPpMVOdCbqwQ0JkOpTQmSisokRGgQk/nOnSm8F6BF0gng5G4MQhcAD+Uoe0WQSrBGQSGUnecWitBGMoyJysylC5iNq3mcFpRVQKHplpA3RgQBZkCby1KaJyDejpHSYWWElHkjNfXmVdznHfUXQV4qqpGILF7BucsZVmyvr6GtQ6BApmxVo4xxqO0xnrL4WyB1BLvJdIHKZdBOaRuLW1lAQsisGiUCjjraDRgNjtkWA7Ae6w3WA9ZOUQ7iZCCpmkoijwGnSHLcpTStF2HlgqExDuLzjOyLEhJKAl4QRMBhKIsgkSNEGRFTte1TPcPGY/HaKVD8EwKVKZpuhbnPBunTtF17UqwQuAIrJUyG4QAkQtZyZ2xGOfIB0NsF6TTnI8BOhNkn5qmwTrDeDSiazvqrqPIc5SQeOGZrAfPA6oImimBJgsyGs5Rtw2ZD4CbVppcZ0gdzLOlF9SLIAVSV00fSDPWoHUOMvQxpTXeO5TO+vlUStmzJsBjbQcyo+ss3oteJ15KhdY5TVMHNk2mKYs8MDoEKK2p5lVvwF4WZZ/hKn3SjZd9gKyzhs50fZBSeCjyHFaCkVVV4bwjiwBjG4GeIDdnUUpijQ2yYTrsL0U4R+dbQpBVIlf8N3qZIEEA6mLmrnGWrMiRmaZtWmQEJmy8/qZpAjilcsBHlpAKwF3X0nUh1Bwyu1P9a8oytq0UWGMiO0aitUSyZOwAKKkCm8o4tJQYH6T3uq4F7yiiRJv3Dms6vLcBzNIKYzpoQltZC3lWAgqtQQuJd4ah9qiY1dTWNYXIGA8mfPMPn+ftq3sIOeRWNWfPQ6OHTGuHUSWnz54lH+ScOXeR0xuapx46S7V3g3NbF3jr+pgs3+T6lT32zkrUcItG3KJxgsl4iDcGbQyi6fjCw0/QnK4YD8eMH3mUtpmjhKVqZzTK0HYd+9OGTOeUo022Z9dpTE29mLN38zrn18c8+tRjvPT8dyizuLoQEmc9WTagqxt2b+3x2qtvsL2zQzEo+dIPf4lvfPdFpvsLZFFSjguUlywOZ8wOplx1Vzjc2+PVl77H7t4hZZ5TlJrNrTHXr1+hMXMGwwGDYUHTdnTNgsVsn41JyX/+n/1VvvqVH6GqF/zin/nT/NE3vs1//8LfYjQ6hROaRT3nj7/9xzz11EXOntniBz/7ac5ubXLz5g1efeVVbHOJTOcos+D6jau8/eZrXHr4EbbOn+PZp57li5/7PNZ23Lhxg6tXrnDr5i1u3ryBkJLJeIyQkkwopDUUWYF1lsVigUbSmgZvDFgLEVTUUoZMdh8Mu6O7FYgYwHVhnCc5yBSkbdsWJSJa730w7Y5MJRHHjhfB40FqFQPxUebKBt8EfAgILxYLsiwjy3I612KNQSJRIjBGlCCAzt7HYLmL43SFsRGPn97sAl05Bvut6bPZU/3D3yFxAbkEPjweKSRerASxvQvnEoGNoETyCUtZ/yqojnkRPLAimzEAQVF3NmWs+WAKLpUg1wH8LPMMEGyub3Dr+nWcEJSjcZgPIzCfAI8kzdm/IPjAFkgAx/KaHXgR1hxmRV5RLn/CPEu452rZdnjJ+topnJVsb2/z+c89x0MPn2dr6xSdgaLpWCwWTOeHFGVI8rBlSdMarly9zqm1NTwdmVLh2S4FFo9E4Fx4Biml8T60i3UO61sE0DUtlQ/3RQqJ9xYpApieFzlKBCDfx3splUTrLBzHOoR38f02PM2ECP4gpnNID1pD10z5wS9+ih/+4c/y9d/6PfAto2FJUQx46aXX+fznPs2t7QPevnqDs1sTjG/AdRSZiibryZcjysl5iZCRxeEszjiEWvGUkTIAVPjImAnSaEkWbPlCFPSIrXMosZStyzIdwPh01+O48Ui89Xjrg4cOSwaVzjLGQwEi+PZkbKKlJNeKmzsHTKsqsHWlDoChdQTJLhl9wYjtt7q6FWmoJYJLfCmMQNWH/jbySfl4l+Nv9B+j8gGCIu81nnC/5YHdmQ95mvhQetgnU+ODL++1Te9y/9uCImL5/Hb6qHSW0wEQuWPg60GM6ROOd+dyAkCw+u0RAOW9nus2+91PXe/l+Cd9djx6exwQEqCUJ9eWQd5RZh2FMmTCBsYI92K6vpTOuu13R75+JxgiHsiqahnKv+emf9DltmhSePanGibQ4y7i8Q++aompsfrdCnjgT7grvb+IP4EtgghSWnFbLYN3Ta4tVjs6HVQQ6EGREM9K2Njq3+936dvgbgCYVI4t244c414AnHsuywO8381zz+Nl5dqOJvrc/8j7WAMjKs/Jy0EMZgajWaUURZHTNS1N06FVhpICZzxKKKT02K5DqDwEdF0ARdp6jrc1+TjHdnO8qyjHBaNxyWQ8YjzWZL7FC4HvWjpjmO/PsEayvbtA5xM6k1E1LSofIrSmWsxwWQO+Itd51Od25PkQcAxHQ8ZrQ6xraa2lbiqk1qAUzgXjTmMcwjgOZxXOezbWNymivFPXGqq6oigK5vM5AzWgLIe0bctiVuFcCI6sTdaQUtJ2NUoGTXspJdODffI8C34HjYkSEQrrLB7PxnrIYk3Zyqva93mmg6cIgjzPcNZwMJ/12aiDwYDhcLj06ohm3kVZUFVVMKDNsp7dM48STeVgEJgM1oAIxsJJfsrYoGGvRAhMKaWDKTGWpu2Q0uKspxyUVFWFdw4lZe9joXQ4jsOjswwvBE0EfIIJbgBCtFTkRfBYadu271eruv/e++AJUgX5Gu88i/mC0SiYyzvvcIAQMcNcRo+AmKzq47GjIj3JSH4pu6X6DOYEZgS/kbBN23XoLAMh8DFINByOGA2HHB4e9rI/3vte9sr1wZ8MJyCPgIzwBDNXJXFRRivLsp5dIvRR6SqtNQ6HcwLTGVS8t9UiyJ/NplOSVn8b5adSELcoigBACUFnDJIQpBLOofNgajsYDoJ/j/N0bYfput6QPmX7Zlnes0vo2p4BszoZShmDxFJStw1KhuBhyO6nZ/EksEspibXhmrwHrKUYDrHWREqmOiI1piPLJtxNh3UCuhYhNM5A2zVoJXA04EKAtqvnKKHBGCbr62xf2+UPv/k9WjngYDrlUCtmHg4OZmxuXuLMpSe5NZ1TNfD223vUh4Kv/Rtf44XvfYeu7tjfnSGqnMef/ByPPPEZ1GCdc49+jt/8V7+JdZaNyRhlDGcGY4Ze0uzPaOqWMofxeESWa954/U0WSlB3Lc3+jFMbp5AiR8icpp1y68Y1zm2uc3iwyxNPP8nbNy7j84zxMGd3e5eRGpFrTW1aZrOGt69cY15V/PSf+jfYOzzk8uXLDMZb5PmAQiqUd3hLABgHBWvjMYtZxVuvv8rO7g4XL57n9OlTDEc5iHGQimvm1FVDvZgxGpT87/+D/4Bf+Lk/zfb1yygB49GIZ596kovnzjKvLQfzOYfzBVV1SD2/xeOPPcwjjzzCxbNbPP3kYzxy8Ty7N67x/Hef5/EnnubhS2dZ1B1Fobn29mXefustxmtBmm5jY4Mnn3ySz332c8xmM1566SVee+0N8jxILg3KId46LJZsrPHWBlDEWJQP/Ts9sO2KJJ8nsjnil4qlnFQynLY2fJ9lOrJOiD4eS7ZcazuEDGwMjT7CjhAxcyaleyTJO601UiThLJBeBJ8j5/DWLmWHUjh2dfXqox8DCYBJ4MFRo/TVfZSSYcUZvSO89+D80qidCDT4kMAgRfDIkPEYttd0cj0LRcZ2XZq9E+ZDn5gnUVbJBKmx1IaZLhgNhzz26GPcuHkzgCdCoPK8Z4KlYHWo25I5E6T2iD9LT47EqECKJS1bBDaAsw7pJZkKAXutMtq2YzQacubMaSaTdarZPACCp9aQyoMIHh9bW2domst0psHXHXVdUJcFs4Xm+rWbPP3EYwwHWWR1zhH43sNE65xMZyihQyKB7QKWKSSTyTqHB4dYU/W+UdY6wPZgSJ6veL54D17QtR2Qrtv2yQtZpiLDJjybnXXUJkiAjkdj/tK//W/yR9/6Fr/6j/5XfvZn/yxf+IEf5G//T3+HrvPs7N7id//gD/m3/s2vUc0OyLWg6doIzuUIlhJZfd+SApEJMp31smiBYSgiuM8Se8JjnMFH4DHguRJc6EuJNRT6LvgIlKyykhLjJySGhHMlA3elJYOBRCmPcDa+lk3QUqAk+Fsd06rCIpE6R6mM1jiM82TR5yrIuxLPtRxvfb8ieZ+EUf2J9sMn5T2Xj3sfep+rfyQA8CDOdT/HeIDX6N9jsOA9lQ+rq33Mu/hHvdzzGLnb+3E8WJqWhlLgMnC5wOUen0CR4zZdx8/zbgH8o2e667rddsvbAR13AkAeCEByAgjzrvvc5irer/mur1MwxFbKUWjDMGsZ6uAtkkkbPObEyUDFSQn64R3lpEocBSjEkSOsgiN+5fv7KUeBlg8dFLljWUbjo4bOXW7/4EoI6kcmQhpTK5FtH7fxq//272SGuAiI+BVQJP1bSk8mHbm2tJnDZx6nQVpOHm+3Ax2OfXek3CuwsbLtEUDqbpGpE46x+nl/mOP1uZ9beOS87/eCawm83Bc4snqo4x/c4wE/1sAIIqezDnCoXBIMLVvatqWtG7z1QVrEC4wJQfLRYEBVOebzKR0erQVaedY3FMILnD/kzLkxKhvQ2Y7x5pCus7z8+jW6yjIajKlmFZkuqecO01pG4zM08yCnkQtLNbuByKAsDFnRIDPH6VOnObV1Fu8zDvYbrl3bZTqbMa/nzBeGrBjhXeCFFrkKAdUysCJWTV8RgsViwWKx4OLFi7SmYWNzgsdwcLDHhl6n7SoQislkTNtaqmrOZG1MLhRtWyMyiVI5eZYzHIxYzCu8E8Hotar7QEHy7kh+FD0Twhi6zjCbBdCkLEucc8xmMyaTCUIIDg8Pe819Y0zvVZGC/aPRqJf/WA1sXL9+nYODA9bW1phMJn2AoozB9+QF4bxDqgDiKKWQUQZqMhlxeHgY5JNkMDRPRuJKR715a48E7VIwL4E4CazpwYUsGNhWVdXvlzKDx+MxeZ6zvr7O3t5eL3FlffAHyWKQo+s6UAFwSMDRUkZmKZljjEHGOiQj8CDpZGIWeQAPUuZ3uieZ0tjOcHh42B8zz3MW1YJFXVGWJfmKUXnoU4HxkSY8b10wZo5BonSvQr8LHi8psBp2CNeW5KyqqurvU5LKApZBK+9D0FEKirIMfgmxDUIwzi2lv2zI9vZ4mq4N8mFdi29MHxB23gYTbuiN5NN9SeftQTER8t9TnaSUaHm0Xj6eezweI6IcW5J7S9cZ7lkMPvvATum6Dq1ytM6o65qy0LjOUGYZxSDD+I6qqTBdx2Q4RFmBdArTOL7z7e9ybXsbiWImHPu24s1r1/nyZ7/MFz7zo+weeJq9qxg14Or1KRsbl5iaTWZmwqnJJj/wA1/isHYMdIEXmu89/zzPfPrz/OAPf4krb71CkWs2ywI7rziczzm9sR76Q5HT0VI3NYNywHCY861vfZvp3j5uUfP0M89QLRa4ruNgf5/5fMb29jZPPPk4Qmd89/kX+eEvfZGtM2eZz+bM5jV5UXLz1i3quuLcubNsndnkf/vmdxDCoJRB0DIebVLmAmcs586dpyhy1tbW+Nmf+zkGg7/MP/zVf8Sv/do/4803X+PJxx8nz3Pefvttsiynbbvg6SA0p7bOcv36LjhNkWmqxvHIo0/y+R/4Ar/ze99AScX+4QHWtVy9Kjh9apOd7V0euXSJMlOc2TrLv/fv/RX+zv/4P/HrX//nbGydZedgzoVLD3Nq6wzj9TUmkzUAptMZBweHIQCsNIPBiIcffhgpJbdu3WI6m2GMYW1tDTw0ixrTmR7ES9JUSW5r1TdjVa7JeRdNzZf9LXkFpUBsAivTvsvgfWA+5Vl+JJi7alQe5hdH23ZxfGrwYEx4roQxFBgGLs5xzoGQCpVYHvHHWdfPMz0DJKb7rZqmL7cJIAHC9Sy9tOpclevCL8nS8er659+q55dIHGixupgG4Sw4F9jS6fpjGyTguRwUHBzuMa9m6CwwR7t4f44cu2/jo8DQ7fwdeiNvIY60/aq6Q5jbDMNByVNPPcFgMODKlSu4zlDkI4bDIYPBgPPnznP92gHTgzkqyxiOJ5iuxTpP2xqcDc/bpm24eOEM3lrm84xqMadrGuqqIssKlNLkWclwMECqIcYZ2q7GWcNsFp6Tk8kIYyLbtgvzZ9M0vfeViIkBwWcqMEMTWJ/6lbVBbir1T+8DW9N4S2cOuXD+HH/1P/oP+G//27/BKy+/yPr6Hhsb67zwwvf5sR/7IXZ29mjaDiEzqnrOKFcBBFNgTBslIj1SSbBEkIT+2emciePDR+nE4JGGCjJfIUlA9F4xzltsZIYotZTiFASWY0oESGMn3ctV+c/0PAj9I8jBDQZZZL9KykFOOSxY2xhza/+Am9t7TBdteAl0gTES8EHRg36p3y39wVL/XpH/8iKwxz4pn5T7KKm7wUc5cHOHIt753v9+nuu9lNtmwX9AZXn+D6ESH2YHO+Hcn8yaH2J5R/Dq7oongh8KrCYCIx6X2CJ3ikLfVR+8y9rcCRRZPVpMrrktSBOTNo58dvzvk/Z7YOV9GA23CxIL6FPxIygipUMrS6k7xlnDMGspVARFElvkXfpMWqWf3Cx9Csny9Ef2fpCc29XQ/UcFFDma3X83dbmvgPR7LP7YHyf2yBWpLA89EBKYIvHzBJjE9XT6twAyacm1QWUWCo/vPN6C70TIMYJeRgtYdiyOtd/K5yeWO31/m23vG5K6zfn6Ot9LfT4KJSXg8QCrvbpOvIfO/bEGRjrTMslKus7Qtg1SgFYCbxxlXobJ1Rms6RCELNiD3W0A6vmM4WTM1sYmxnZoDZkesLa2hROOg8N9dvanNFd3ESIjV+s4FN3cYzrBQBYUwwmDIcxnU/AW6xrGk5ynnz7HaJwjc48qFY3paNuOm9t7bN86pGkg02NUVmKsROdD8mIIrUVGaSkpREwSDFN6lmU0Tc3BwQFNU5NlmjfffJ22q5nOdpnPZ2xubtI0ixA0QDCbHwIh+G1d8Hc4ONwLwXcl2VjfYH//sJcsUjEAl7xB2rYJBqQxc7Ku6z4okLwurLXM53M2Nja4cOFCDygMh8NorF7Fu+V7BkmWLcEH4Ihx9fr6Ok899RSLxQJjDEVRoLVmsVj0+uhZltG0TWCWuOgxkWWUZcl0OmVjY4OmaajmC3TUHk9G5mVZ9kBFCt4nKavgo5KvsBKyPmie53mUFSv64wkh6FwXZLpskDzrui7UMQITh5FFMxqNsJ3pr6nrOtqmYTRYeogk+ZwUbE+Bl1VAyUSj51UGjxBBhkwpRb2omIxGzOdzlFaUZfDAgKUcFcBgEMzBy7IEYia5kmTx+pM/S7rfzjt0lpHn+RLoEfTeG1LKHqgZDAZ9GyYflBT87bqOpmqisblDSRVZS3kPVFgbpNGcsf39KYqi18hf9UdJTJt0P1dBEfBYGwK1ebxnq8bL3jmEC9sXRRGktuJ1axmYPg7b1z8BhEoGua+kay8QCC8RSJTM0FKSFSWLdsHBYYXMFbooUXlBiEErinLA9q0dvvHt7zBvW9rOMnMttbT87C98jWdOXaS6eZN1u8bjm2d4dWeBlGvsHChqs876qSfw0rC5OeHscMJs/5CyHHKwf8D+3g4PXTzL4uAGV996A3XqFOsqZ1wMwBm0EjR1jSjgcHaA9wbZCD775NPs7+7wmWeeY+/WNgPnOLM2YXd2yJXr1zi7cYrpbM5zn/4Mr7z6Cv/qt36Pn/6pP4kzkoN6n8nWBjeu32T/YJ9Pf+5zSOXZ3b7G2toQoQxlAW09RfqMQVlwa/saGxun2D/Y47/4L/5v/MDnP8+XfuRH+PO/+Iv8+td/nZdffo1HHrmEUkFarqrrINtnNFeu3cQ7ePmlF3nzjdd47NFHcF4wm4c54ty5TbZ3drAmeDlt7+5RtyYEIWXG2uYmOzu7/Pm/9Jf4C3/53+H1Ny7zP/29X+b5779E9d0XOHfhItVvL7hw4Ryj0YjTp0+T5znzes758+e5du0a165do65r2rbtAQwpg/cVsBw7yfthJcB6HLwQgOmWPhdpm9RfkxTdqgm4j/JTKkr7GNP142wVcF0G/On/3bYtZRY8saxpcFF2CJaZ8qHOgdURAIi0aPFRVsodqcsqoy5d23GPENdfe2LHLP0rrLUIQApCVr8XUcpq6SO1Cs7EymBdlCWLbStIoIxAoIK/RLym4XDIeDzm4OCgb1PTBR+INKeurM+OlFW2YPq9eo3Jf0VAbMtlSQw6Zy1KS06d2uTSpUu8+OKLdHVglm2eWmd9fYzHUA5LhNZokSOsohiMMLajsyb4WAjBwcEB169f5+zpTcqiYDQeoZWky3OkEFRVQ9sa6uoQnQXJRpWFleJkMumB42BW3iHEEtBeTVpIz/tQlt5OCTxP/cxah7WBtZfF55GUwctsMZ3yZ372Z/lXv/m7/M7vfoMf/bGf4K/8lb/C3/r//i0OpjP29q7z27/9e/y5P/M1rrz1KrNpRVkolHSY6CWnVExeceYd4H1KHJCS2BcNkHx9AtvPRTAhPJtcnyPoXLcCPsj+2lfHcLrmBPykcZjAISljX5WSopAImZHnmrLMWVsfcq46w+Xrt7h85Qa7B4vQV1xgezoXJOTo+4/v++Hq+Ep9G6Kh/Cflk3I/ZSWl9eP03vyu5X2M6NzPi/WJ5T72DwHWB3hxH1a07oMEsu6mfGwRwbsod8ps/qDKbQDYE6t3OxArzlVeRh+RBIxkSwmt1fnsrgCGk8/07vvcL1hxvF7HQZHbgSb3co6+3C24c8J299s37rZdVkARBMjIFsmUpdSGoe4opUFLixTuNmyR5ScJUHq3aovbfL8KuNyeKXF/s9VHAxRJsI/vcblkMn777e8ENL1f5Z134Ah8FVHPwBYBh+wBkeRC05utH2eTeIEUjlxachmBkdxCrqCFXjJh9aKPT1gnAHxHNrlXVsZJzI87bHdiYsVKJd5xmFXA5S5u5pFNHgTL5G7KbZ9RD+iE6bmx8ve9lI81MKKlo20WtG3wCJBK470GR0QLDVoahOqAlkzD+kbG5uYmWf4Y01nF3t6MxSL4QtjWsXurYzqdo7Kc8dqj5Lmm7SxSaAwN3tcUI40xc5xvWRsXnJoIusYwGk1YX5/gvWO+mFLvd9S2YFYJ6roLKQ+cRskMfBaD05rWBsP1XqtdpMxLASisNdRVMFgVMgRxB4OSulmgM5jNpnjvcM4yn9eU5YC8EEHP3nlqWwMjlHII6SnKEIjOsixcq8ypFgvqaoHWmt3dXbJMsbW1xWw2ZW1tLUrAwHA4wDnY29vrgxOnTm2EQH9bxyBew2g0oOsa8jyLAf7g6+AcvQRHYkVIKRkMBn2gpq5rdnZ2etPuFMhL7IkUjE6688aYPsN5NdtVa00ejbW7rsN5txLAlEeyPruu6+WjFotFD8DM53PWxhNgCSIkBoe1lkwHn4tg0Bzqm0y5BVBGtklbBzBgNagvpKQ13RGZrlQn13WUZUlZln2ANJzTMBiUoI5yh9u2RUuFzjTT+YyqChJrQF+vxIoZjUbB0DyeT8Xg1uqklIJAiWFhOkPXdmRFvgQPVNB+T+BI2jYZG3vvj4Aiw+HwCMtFxGCbNeFcXQwCKaVilpAIkmFKBfZNvD/JZDdJAgF9+6e2DNnPXR+0S/fb+6C/Xy+qvh5d11EWBSL1rdQO1pJnBW3b9PVKnixFUfT9rchzus7gjaPQOd55qmZGOcjJtaR1lrppEULhjCcH8uGIr//mb/P2zVtolbGoaypTc/Gph3j44jnMrR3c4YxhAafzTa4JiclKbtycUjUama2jRBOMzxtD23RYY/jss88xm02ZYdi9chlfzdltGtbPXUQNBhjThYzvLOOwPqSzlrfefIOHL1yiFJo1lTEWktrBmtIc7O4zmx2SZzkHB1PGBzPOPnyBz33+i/zh7/8B12/sMB6PefSxJ3jjjdd56/IV8rxkY2Od69euoCQMhhnD8RrTWYWUBWdOn8Eay/bODm/s7vLQQw/x4z/6ZbJM89u/9Zts7+zw9BNP8+lnP818PuPVl15hOp3Sec/aZExnPP/wV7/OX/zFf4snnv4MO3tz5rXnjTfeCEw0H8C50WjAfD5n/1DQNp5XXnmdb33jWwzLAiU8pzY22drapG4NG5un+E/+0/+M6XzB7//BN/mVX/kHrG2sceXytX6OyvOctfUJ125cJ9cZn/vcZzl79gy7u7vMZjMWiwUHBwdUTd0DHs47jHe9jN0q6CCEQMUovI9jLo2hVZAhgSqr7JIjTIa4QhNCBN8lwnPEOX9kXyHSvEeQmSSw6qL5RZh7nItWJvHc+Lj8XAF0/BLwSSXUbcnEW2VM9OPJCxQqrNe9j/JIq0bfEoGLUo8gRAIgHLeNA4uwXfIC8TEdOklrBXkui/DQ1hUbaxOG5QDbmf4ZhnBomQWfDTwISedsX6f+uuPvVdbZ8e9X2yPdO2Jb5HmYG0ajEY899hhVVTGfz0E4BJJTmxM21ifUiwXj8RhjLF46FnWDcQadFXjvWVQVdVMyyAdMp1OMMajRMMiBaYV3GhFBoLL0GGPjM6elbUP/qBeLCHJ7tFYMBms0TcsSsFqCH6DiM9TiXIcQpmfxlGVJUeQ9WyQ1gzFu2Z+FoGsabl67zF/7v/yf+C+n/w+uXb3C7//B73Fq6xTPf/9Ffuanf4IXXnyVL37hKqPBiK4K96+qaoRUcQ6PmV1xnRTA+MDUCEBIehaFPiOVwHpH15mVcWf7sZeSUKxNoI9AShGAtmP9eDVZYlWqLt1jpQAZnlNKCUql0MYhhQcUOMsj57cY5DlvXbnF9Zv7VKZBiAy8jQv4yIoiGqJ4UKkv9YECEYMGH6kw4yfl41Y+btmEtyvvKZB45/JAmui+grUPNqf5Q43U3U3w95Py4MqH3b4ngK6rgdfVbW5XUkCr/60ELoIiXkWQ5LiE1n1d93sARe51u3cBSU7c/56u5y6u427P8UD7zwr4E0GRIKFl0TqYYmfKkktLJoPfW88WeUDl3i9xZea9h7b4qIAiaaSltzaPD7jUiRVbwiF9Us7tNv0Aiu9/JymtpZ9I+mwVCOlN1/vPZM8Y8YAUPoBvWUeWG1RpMZ2FRq0qQt8ewV357iQApw+Z3QtT5KQLvt129wpyv2OivXM5cr8/iBt/H3W839Pc79rr4w2MAMJCLguECNmYVd0xKDWdaVDaMxzlSKmoa0NlOkox4Or1XeCARdXStB2DcoQzIeuvKHKIZpu2qRAqA+84nG6TlYqyUAwGMpzdQzkqkVIxXt+gWrS89vYubdOFmyJzhFY4UeIRweQ6accjaFofxO5E0J4Xygd9awFKCoRXeBEyarVO2ZwCYzuapqUsB0BOnhc4Z/sgScrMlzJ4O1RVxazUSCXY2BjHgIWmLAuyrKBtDBub62ilqKoFk8mYLJptp2zRBAQE/XUV5SrUkYzktm17b5Hd3V3Ksuy3Sd8flXZZBqxnsxlJmspay/r6+hEmBywD/FVkoSTAIMkx1XWNUjr8lkujcWstZVFgvaUoip7hkY7Xtm0vTeVc8BpJgY+1tTWUCEyawWAQr18cyaRNTJO6rvu2qKqKYlAeCXAelbFSfXBdRnaCIPgESARdtwzEJ6ZCyNp1fWAmgT/pb4+nHAzY3d0lL4rgo+I9w8jgMCaAG/ggxZWuoRBEQ9lQR6VUf9wkg6W1pmkCuONdgB3zLMd0BikEbRO8WoJUjCXPC8D32ceZ1njnItMi+QiIqMFvsSZ4yoRjBzN5KSWLpgGCkW6eF+F41hzJxF8FSIBjmbyh3ZSM3jkuSIKtskvwSymj1Sx9IYKGfVPXCCnJswwTgbSyLFjMg/F8XoTPhYCiyLAumLwPxiXT+QxnLNJLmq5hY/M004MZf/Pv/j2+853vIPOM/VkFEh566CEefuRx/tXXf52fePZphgOP73YYj0ac3lRMD6bQNXT1HNt21KYmHw0xXUtbNfi64vILL3Bqa4PxQHNpPKYyDdIadre38ZueyXiN2XyBLjOsCUunc+fOMVCabjrn2UceZXrjBqoxjKVmpDSTouDm9evsXniY9TNbjFvDqVNnyPMBz3//JW7dvMkv/rk/h7Uwm1dsnT6FUpqdnRtcvHAOnQ/Y3tnn8OCQMj/LcJDz5htvMN0/5Itf/EGe/fRzDIohUmk+//nPc+vWNi98/0Wcc3z+8z/Al3/sx7lx4zovvvR9ZtMpXdOxu7PHCy+/yU/95E9y6dFn+NxnPs3at77BG6+/xvr6KQ4ODzlz5jSLaoGUGTe3d/nc5z7HtWvX2dneI88Uu/szXnzlVd58622Uzjh3/iJ7h1PWN07x4z/xJ7hy+W2qKjBCEhvj8PCQq1evIAlzwJkzW1y8eJGNjQ1mswBIWhc8gmBlvXVMOmsV5EhAxyoosirjs9rP05yT9hEimMclwLBrE2tE4ly3AorEJW+skHWWum0odHYk615rTWdsYIoIiVJLNpv3Pi4+g1G7d++0gV6VkVoFDYRYggxJimo1E76X3GK5WPUkgMEj4jWdJIGYxvuRBDwf6qbiwXScN0bDYfCEwlNHScOsLHHOY43t22qVEbA85BKMWgVQjzNIVn+UUmRRhqptW86fO8eXfuhLbG5u8vrrr4dAvTEI4Ti9uYGWgkVdc+HCBYqi4Nr2PghF3UwpCo3HY6ylMwYvBG++8RaPPfIQw+EAKYL8mMwUtu2CGXs0TA+WGi6AI10b+kCUZ9vd3WFtbT3KGIb1TPJaSc/swAwJviLJfyZJFwYWaPDfCIzL0B5lGdI5u65F5wrrDGfOnuI//qv/If/l//2/4trVy/zET/4Uv/27v8MLz7/IoJS88vIbfPmHPk8zn9FGYMVbG+ZdYl+W9OA5K22tdQLG4/jC4G30kIrfCUHf36XSsa5HQZC0bjgOQi5lw47K4SkVgHqkI8s0QqiQrUaQ0cuyAIxIAWxOIrAouHXrgEVreq+cZQ6kOtKnEtgk4n/uIwHqk/JJWZaPTgTnwZf3CxR5D8ddBoPv4yAP8h6dELD+wMtHrc/dTYD+I1LeF1PgB3Q/blu1lQDfPVU/gSLJVySxRVbAkSNskbu8jjvW8y4+P/EYxwJwd4z7vR+gyL3eywc1Fk88jn/nNjGJSYrAFskzS6ENpTLRdN2g8L30bJguTwJJEtf3JOj4pFY/DtG927ZH11l3W5bwwkelxHeTFXjkTtuyAoqchBO8n+X4XUnARgJGVk3Wk8H60mNkFRSJP9FrRApPJiy5MmTaoHNDlytEJkDJqF4bpJ7f0US3A0WOfZ76y20v6N3K/QIgK/us7nrPAMdtQJ/3oxyp2wcxWFbn1ns818caGOmqmlwV4FXIaDcdzhsWosaLLuiNV0GGp7U5de1YzGtyleFw6KykHI4wpkZIS5EJiqJFuKrPoFeZprOOPHcUZZARWl8f0ZmCw8Mpu3sdpjO0psE5BWIdKTVSB2NsJwRSajw26HDHrFRjTQgOK4XSEi8cmZZ0tsM5UCoPOnhHAjXEAJNCa4UUkrazFMUgAhobEANQ8/mCPA/yQZubG+hMUVVzhAgBtNFowt7eDkU+pGmidIT3VNW89wXpImvBe99n44f6ONbWxjRNh3OWyWR8RComeXqsra2xv7/fAw5AL0cVGBp5L1dVlsEwPQVaiqJgsVgAS9mKFLTurKEsS0xVRaaNIC8KZrMZUioGZYlpQwa9EAKJQCt9RPcfWLIznAtSTiuyUG3b0jRNL/+VJEaSBFiSECnyaPQe2REJpGiahqZre3BosVgghKAsy579sra2xsHBAUmqSilFnhVRT30ZfFoNxjgXDeGlWPksBlK1pm6boM4vBZ014OnBnKZpyLSma6NnR9OgkvlrlJ5KQddktJ4CsaPRiCzLQhuLkD2fZxnYIHklCfenrRuGZfBPaZoWJwMwleuMelFRVcHsFxFlaCDIzijZM3FM1+KjdJeOsmtAMHz3NgI2YepK3wWfmyRhJHuGSbrfbdNQlmUAyuL9TKCUs0HSy0vfX/cyYA1CaASCrkueD0HGT+BQ0kcplg4vJNa1IDytb6mqGVpKqrpCqoK1wRqH+zN+9Z/9Gn/8/AvIPGN3b5+ttXU+9fTT7O3s4OYNX/jUZ7h29TWee+wRqnmFZZuL58/RasG802xfeQkpPcZZSudxKJRx3Hr9NbLFFKU8SMelomBPZqAypnXDte1byLJAKIW1nqZuycqMjckaYlHz6IULZJ3BHM7IVMYkz9kcDDloKrY2NnjxlZdZO7PFxrlzbG2d4fz5i+xu73D12g1+93d/n7PnzpLlJdZBUQwpyxF716+jso7r166iVM7Wxjq2bajmM4pc4WzH22++wXg4RumMwXDE+sYmX/qhH+TW9g4vvfQSp7fOcP7iOc7/5FfZ2zsMfi4qZ3PzNHsHNXm5zo2dKcZKqsZw6vQZXnrxJk88/ihvX34bayx10/HSy68jdUHVzCiKEucF584/jC6GHBxOyYuSixcnvPbmW5za2uKLX/whjDEsFgv29oJcISLK2jkXx27weqjrmrqp8LjoBhCBhJUA52q/Oi5BBaB11gPQq4y2tP/xgG1iRCECOzDLgsRbmjOTHF8PRluHicwu76FrO6QQFLroQQutdFhsugCsswJApjnJRwaM75euR8tR4/UlW8X7kPEfLvedKxURQQyf3opEfP4hAqmlxzH9sX0IB44MESFFZIp4lAxge5pLt05tIpTGe8vG+hrGLhk1UoXzW2tRCdhaYfesgh3HmQTvAHiOBOzDHJYpTVmUbG1tAZ79/V1MlADNM8Wnnn0GJQXOdoyGQb7t+q19ZCbJy4LhsOBgbxcvJJ0J/lcmkyzqJoDoQgYAzzlUppHuqFxZSPwoKIocpQPwUWyd4srlK71313Q6RUrdP5eTdKHWGcR+sSoR1zRN7x+W53kPOifgX8S3Bi0FuVbcvH6ZTz37JH/1P/r3+R/+xv/Id7/7HZ599hn+6A//gB/64ud56/JVfviLn+fc+Us0ixl4h3GGvHBIle53fNkTHqSKpuoBkOi6JPGlMMYhhCZJZEH0SRMS61zfH7VWSBmSELTK0CokhXRd19/T1bF63JS9H8sWnEuAiCAvSpz3gS04Lsl1F5Nj1lFKkwnJlRvbNM5jET2g5OMzLPT7Vem4eC+dg9v43HxSPil3Kh7CHOvf/3fTD7Qcu5gHzvZ4T8f4aLT0J6DISvkYgSIQxuwDBUc+KFAk/X2X0Va/AnZ4FUCRBIjY5CtyXELr3c59Uh3v49rvGSh9F8kqv3q0O4Iid3HTT6rP8fa/n2PcVzkBFCEu6SVI5cmVZZB1DLOOUncUsiOTFp1ktCIrVqb9Vo69Cooc9w1JpxPv+Ozk9l4FV8TK9vdzxR+16e3+SmqpB8pXfNfij/wOQEeqRwI+ksm6TaBIYpCsfOcQ7/heAEo6dDRgz3ODyRQukzjt8TaqE/h3mV/vMHed+NUdkdEHUE4AVZLf0l0/Jz6IesbygYJtK4M6tYm/hxN/rIGR2sxxC0OeDfAe1jfXg89CU2FdjrGG2UGLGwqKfMzaeB3TtJRZhsWitMe6ls60jAaas1sT8C2j81sY06GzDGsNi8rStiV145kezqjnC4TUGDOm7TzOaWSW43F01kTjb4UXDmtrRDT9zLTCexMDseHJngyohQDrg567FirOtA4hBUqqkNEfpaCMteHFO9eAiuyCsjcdXVRzJpO14L2hFWWZcXCwF87tBE1jouGoZTrbBy9QMsc7yPOCwWDQB+dG4yDRgRB0nellj5I0Uts2R8CFJJUkhOhZIEII5vM5RVEwGgVz9FVz8cSIqKqq9+NImaqJZZG2DxJUIgBLIgT7VpkrRVEilaIsQ1CvaVoQUNc1FtuzYBKAAfSZwasyN73XhTGYdimzBUuZqQTepAB80qxPQJLONF0MdCb2h/eePM/746Rg52qwRUqFEL7fryxLFotFZK2UCAGLpu4D+0DvG5MCd4kpkec5SIHpAmhQRB+UpBkf5HdczNJezhzp3kghEB6cCYwILQM4ZruODtGfJ2W8p+OmAFJq2xTkzfMcpSTGmh6Mms/n/TG8D4wO7z1aSowIckMiMY+EAE8vkeaifIsQ4F1cLKlgoNvUNdY6JpMJuQ4ASsrc1lrjnUdnIYiX/HOWprce5yDPNXXdAp4s6vR7bMh6l6DyEIBWmcBZG5hqSmBNAGrHwzXERDOfN7z84qv88fPP88LLryKUZu/ggHI05JlPP8epjU0219e5de0Gneu49OgjbC8OGQ7GtM2Mau6Ybt9i6/wF5rtvcjifceHhx1F4TN0y297BdFNOCUExO2S2v02RabaynMp79s2C0ZlTHNQLlBXMD+ZYLMVYY23DqcEA4WHn2g1KGeTfUJJzm6d56+YNNrc22Klqtvd3ubBYsL62zqWHLvH973+fcjigNZa2swiZ4V3guJvOMx5O0FkOTuCdZTwccXi4T1XNKIuSxXyKdwbXNOiipG1qqsUcqXIGwxGfeu5Zmqbj+vXr7O7vcXAQAIymsozXNrh04RKT8ZidvUMG4zXWN0/R1jPyvOTa9etsbGzwxlvXcU5wa32Xw/09bNcymaxRz2vKwYK8HDG00FlLPhiwvrHGzs4tzHiNwWBAWRaMRyPyPMM5wyOPPEymFZcvX+7NtK9du4Zpu/55vGrMfNxfJIxx2c8VaaykeWfVu2M1+L7KFEnjxcUAL9ADrMFvJ2T3L7fxfZ+G5ImwBEJjpcJiUgiU1nhjsV0b9u/zuHxgMa6wWISUfcbNEhCA/iVGiGW7xGtMc094tKwEl1f3SVn5KSHuHcBIzKb3Hh9ZOkoF5oBzjslkjGlrTm+dQmvNweEBDz10iTfffBtrujA3tm2ok1vel8CMWTJcjs9nq1KMx+XCVj93zpFFZqX3nslkxObmBrPZFGM6TNeR5TmL6ZSnH32Sp558ApVZ/GQEYszFC+d4/oWXqRYL1jYmPPboJb47m4KxtE1H1xmaVnL57as8+vBDnN7aiK0S2iQBWattHG8SSkqKPGc0HLG1tUVd1WxubiKlZDqdxWeEZTgYRm+PcG90ZBMGAC30cxfXJOCxcY0ghKBrO5SUZJnGCE+RC5TwzKcH/NAXP8fbV/4kf/BH3+Kxxx/lzOkzPP+9F/jyl36Aty9f48LZTWxbQ0wiCYC4CM8jAdY6vLdhXRTrgI+syvgssM5QDgdhfUWLjL5S1gZmjZACG298YslkWcagKPuxsQp8ped0AuOXfTgCUBGgFM7ipQcdx57pkN5RaMEgA+ckfn2IN1u0puHKzV3wAm89UiqcT2uDLCZJJNlQhxAhgSWxfj4pn5T7Lv96RHLuXB7AdSZ22oddj/dyjAfFgHnP5WPQ7z4ybZVKWuOJj0Z1UrmndrqLQL2P33khesmsHhTJwOUcZYucdKy7rscdIoIrx7mX67xrEOau6v0uAMrdliP73R6suftj3Pt5e7Ajeovk2jLMOkZZS6kCKKKEQ4qQ6y8TU+RY3VcwMxKyf7xb3bZbvMs1vNcx9W4Y3Uel+Ije3L6eq5H2JKr13spJ5zqZ0yOO/aZni6wyRjyyB0P8cUmtKKO13Da+m+FRwqFVMGHvMk2nHVYDJrwreCuOXf0dLuQkUOI2+9xp+J14/LspJyENJz0n7nQbP2AELCR+ve+nOVru8Xwfa2BksFYyHBZMxmPqeY3WBumh0DltaymzAaIImsz1fI7AMRhqOrMI0k6dozMNznZkGbzx9lXGo5yqzqjqKhpEW4QY4J3EdgXejWk7CSgQGqU1SuboPEfZDroFKI8VQY9baxEzbB3Ge7x1eB8yGrXO8NH82VpL3bUxGz4Yx6ZgQPLpSIFwHYO8HomUWZTAyPA+SKQMh+NeE7xt25Dp7A3eQ9NG/41a0daGzc3TZFmBQCNQvWSMtZaizDGmWwaDhKBzSyPwYIbdAZ6qqnqj9hT4T8GiruuYTCZ9QCvLsgh+mJ5hUlUV4/G4B01SYCKZd6csVKlVz34oBwPsfA4Q9P/X1ug6Q11V2M6gVQCYUsB+OAlG5wlkSIGQuq6PZPqmOgJRJiSwZebzeZ8tnOd5DxAlQGQwGBwxYg7Z0a5vv+NZuCnTdjXbOARilvVI7ZgAD2OWYE6S3kn3w7mgT+6869kXCTTqjEEQZMjKssR2pr8W5z2mDWbiCZAajUa9hFmR55gVMAXoA5LEoFBqryS5FerjGA6HR4JLIZM9BLqSBFkCi9LfKehb13Uwt24a8rJECYESMaAcDZfT2sk7j439JZlYD9aXJvBCCOq6PgJiyRi8SwHQdJ/SWAv688v7lwLD1rqYmR7Gm8cjVWCCWRO07oeDIVIoDg9nVI3hn/7T3+DmzgHzpsVaT1W3jIcTLlw8R902vHnlbUqpuXThIs9/548ZTbZQo3XkYIhpK2aHt1gvPZPC0riara0hSjpE1+IWLSMtGKLYtJ6hEBghsG2DsCHIPR6N2Z/PmTU1lzbO8fgTj3NweMCN7cucPXsKOsP+3iHjbIBw4ARIBOOi4KkLD/Pa7k1Urrh6/TqPPLrHeDDgmaef5td/7dfY3d1FPf0c5WBAXgww1iJlhrUhEC+QaKkxnSXTGXu7u+zv7fHpT3+aMtcIb6nrOaprMG3N9ECg84KqGiO1ZjScsLG+zplzZ1AqwzpB3VjquqOuG0ZCUBYDlCh57rlPUy0OeOSRS7zx2iucPn0O5wuc8+zt7fPay6+glGDr9BkGZcHu/kH0UAoydEVRMB6P2d7epiwLrDVsb29z7epVLlw4x2QyYW93l+9//wW2d7YZDEpOn9rCRePwNCesshoSKJEC5Omz1fkG6MdNGjvHpZmOM8SOSzmtst1W552l7JyPP2Gu0XLJDAtgqjpyTs+KyXmaJ4yJnwfXOiHoAVnhV68rSoVBD9Ra5/FmCfwIcZxdcruyNGgP+6zIG1kLK4xGay1lGWT8zmxt0rUtRZHz3HPPsbe3F5+lhjayAeu6jllFkXodQY/V9ludh1efE8fv4SoryBhDEU3QrbVcvHgRiWc0GnL69Bb/8jd+g/39ffI8p+s6fv7nfzb0u90rrK1vkmVjLp47w9p4gGoczXzG5bfexFuLlpKmaelai9GWW7d22N3ZY3Njbfm8iNNzem4nEFnIwGBp6uCbVMuKQVlSxWdieI5OwhzZhntVVYHplxg9pjPR52zAZDw+kpiQGCQ+0TEA7xxZkZFpTTkoKUfrVMbz7/67f5Gb2zv81m/+C/7CX/gLfPtb3+T69Zu89tobPHzpAsL74EvmA+gCDmdDv1PKYkz001EKmamVcZeetwqVZREsTOC9xDnfAygmzvWEvbDGsrCBqboqx5j+ne5xek4t+69AZwWZylDxnrdN1Wc7WtMiEOEFTVgK5dmYFJzdmjCbLzhc1FSzOUIopM4wxtG1XS/15b0FXJBYFZ7WfAKMfFLus6Qojr/7ZMG7DXC838f4MIp/EG/x7/EQ95LteMfyIUbwHuh1fBDlo1LfOF7hIzpmHhD4mNgiyWzd6QCGuASKZHGbtCy7C3DhZFDjfQJFbleflNTzjmD/ux7trs/7jnK3IMt9gSL3yGBZ8RaR0qGUpdAdo6xhmLUUyqBF8GOTEUC5m/JuVf8whu1HkzUS3+MQASq4q0qmyea9gSPLoyyLP/b7TiUKAbCU1lr6pfeMEiS2B0QSW2S5LwRJLS0DMNJmFqsdPvNgPFjRr4kSa6SvX7yI2zbZCQDJO67h2KbvaznpOXGna/gQyntdO95p/1XW4W0P8i7lYw2MNBa088yqeZCz6QyZKFBoxoXCti3edFi7oKAmyx1F5uhUB6JA6RFtN2Axz5lP4fTWxWCgu98gVYlQEiHDYBM+Q2XBJ8E4Q5YHeY/FYkqmh2S5RDqwTiCURghNZ8EZH6U9JHiFj/4Dngzrwku6VBIpNIMsAyligLWJWowCY9oYvAqgyXA4oqpquq6jKAqqqqGuu5jRHLw7mqbpdbWttdR1Q15kONcikeADi2I2m6JkjTEeKQJgEYJejs2NDfb293p5rTwvmBQj8MsAflEWeG8pBiVSSiZraxhrsN5RVfVSViP6bdy6eYvhaIjDk+U5zrtwzQIWdcVkfS0EbKL806AYUNc18/mcwXDAYDBgbX2dqq6irwYgRB+4CVm6GUIHU++QTRyCf/P5vAdvUpDSe98DGimgk+qc5LK8870Bc5ZlNE1DVVW0bcvWqdO9YXxZln1QfzQa9ea+AbDp+m1SkD4E8creayR5qjRNh44SV8lIPoFEwXOkphgOjoAyQJ+BnGc5ZVkym836+gglg4RU1Okfjke9fIrONMLJY0FUR6Gz3qMmXbvWmq7r+utZZYU453qD+nQMY4LsWZZlHBwc9ACW8yaamluyTMXjgPcOpcIMluc5ZZkzGAyjRIzn8GDas5K6mDWbZRl5nuG97dk86To602Cto8xzMh3k5JQMEiU26uVneWBaWWtpu3BN5SBHEMZnYLA4mqamaQzGduS5xnpHG++LUipo1huHQFHqnMPDKesbp7m5f53Xr98AkbE3XWA6x/xgznw+463X36Cq54yGJZmUrGVjnGl59fIblIOMyXCM9hlrw01Ob53ioUce4qW3X+Pmzk3OZyOky9kcjKnrjMx71ssc3dQ4ITFkzKsuyAVWcxamYby+xrnzpzF1w2Q8ZDh4hJs3r5ErxdZ4AtMaLzx112HxzA8O2Zpscnl7mxuHB0hTs7dzi8lwyCOPPMojjzxMXTc899xznDl7liefeprf/e3fom4Nk8ka29s77O0cIpF0XUWeZXgvaJsWby0CT9fUQb6vDSA1QjGbHzBsG7KyBGfxwlK3isFwzHA0QSA5e/oMXihm0ylt15BpGYPRY86dPc1DFy8ymaxhkVR1zXy2YHdnh729PbTWVNPDACLmisNbN2m6hqIsmIyGnD19iiuX3yLPC+pqgbeGb/7RH2Kt4TOf+QzPPPUUw7JgUS3YWFtjOp3hTEdrDCLTgOhlE/vcFR8+SywPGTP3vfc4u8LAiPPYaiB+lYm16n2QwAIX/9Z6KQOU5rEla8T24IhSHomgl7g6smqQBNBDIIXCC4FlKenjVgGTWAQJCA8m7EpIVv3SA/PD4m2HtzYuUlR8GRZHDnQc8Ekr3OOsG4GIIAm0XcNAD1ACRoMBjz/+GFmm2dpcZ7FYcOnSBU6d2sB7z2c+8ylef/0N6qZhUJY0bYv1icUZQJ/wV3i2SKUCazIyDZO/hYNj9wJUlpHneWA9icCqFB4GRZD6O3vmDE8/+SQ4xy//8i9hreHU1gZPPfU0s9mU/b096rpmOOwoM0GhQauS/WnNYnpIrhS2M+ACAMaoZDZbsLN3wKPG9fJnUkpca+MLgkQI1c+r3vkIgrmetaiU7hmeTdP0jMc8LxkMiwDEdC14SdcZFos5Bwd7vWRWmuO9XyZOJPCgbQzV3NI2DVJnFKMxFs1wbZM//4u/wF////z3/G+//3s8/PDD/Mav/TM+88yTKJUz3BjQ1AvKTESwysQxInDWxeeHRwnZS5+t+vFkWYbUOoDXXkSwW5HniqIoe1Df+WB2nvqbksuxBUuwLB0fOCJ5FxIMJN4pijwA+IER1ADheTZ0BpRi2HRMFw1lbRgNCoSE8WSdG7d2efvyNRZNF+QIvcSYwNQK1xQ8VkI3tFi3TFL4pHxS7qUceWG+yx3e9UX0zrj20fPezzEeULlv5sd7BTYewDEeRD3gPu7/gy4fpQjNeynvx3W82yD5uLbbsXrf7hKThGrPFMlW5LMiOOLluwe9btt84jbfntSm4h6zjtO5j4MBx8rdg4LH9r2X+37bbf07v7/NtZ9Yh3s6V9i/n2YFsMIW0Sp4iwx0x0C15IktciTPPx3+rkPod7ndPRzuju3uj/z90R2e8b0sgiN3B+CcBGvcW7kdtHK8pfrv/TFhtASKsOI30rNDVkzXfWCSHGGL+KMONCH5zQc5LWVpM4vXPlhFd6EWQS3hxIt452fHy+2a6Tij5F2a85662+12eJdb9iBHyF31irup710e493n9dt8/g5Q+u7LxxoYkeRoUWDbNoZYGiwVi+kBm+trZJkj1xJjanIN+UAic085XKMcbDFfSK5em9MZAWLIzZstw9EG5y6e5tatG1RthS40SEFdNZSDkP1qvUEQAsfFMGexmGFdR8o4VD4LkhNC05oO5yQy0wgZAixOuPCU9Im+FVIkYhIuFoezHqnpM3oDEyNku06nhzHArqmbBYNByMpv2wYpQ5Zlno+p64rd3QOcs5RFzni0Rte1ZFmQGdraOkOW5VjraNsKnRW89NKLSClZWx+jM01Z5ozHpyMToI1siSB1NJ3O8XjarkFrHTJwm7r3EUlm6M459vf3aduWtfU18jzn4OCAwWDUB90T02RVr9wYQ9M2CCnYPLUJhIDEzVs3Q9AuZgpb51gsFpw+fZq63g8Zqkr3Gcvj8RjrHPsHe3QxGJIM1wE2NjZ683QpZe+RkuSy6kXVX1MCGpqmIc/znn2SAJPENjg4OGA8HlOWJYeHh3TGsL6xfsS8/dSpU3Rdx8HBAWVZ9hnESh01PneRpRNYGT5moza4COKkrOUsy8hj5vTNmzc5f/48Ozs7fXBUZxmjwZDFfN4DHD5EaEGETOLxeByAnqoKEu4rASETWSfeewZl2cvipGuXUrJYLPr2SeBS2wYAYzweBzaR8MEkeiXYWtd1D/wkqbN0D6pqEVhOUjOIRvIpQAZEgMT37J8E4LRtyMCfTMZU8yB5Zrougnx5358WiwXD4bC/1lSnpqnJshIQWGtwzpLlGbnIkFrF+yEwnYvgFUhZIoWibeHM6YfZmy8YrG2Rjzd4443LtK1h+9oNJIIf/MIX+IEvfJ5nPvU0f+Nv/o2g9d95xpMNpos5daU4nM5xbUe7eIudvW3K9QlzW1OO1vmpr26ycX6TQS4oNye4wxrftgjtMdbRtg6pM+rWIKVibbhGVmRIa3CuZVE3CAkXzp5jMV3QNAYsKKkhV/i2Q3qNN56N8YRbs5rGOt568w1Ob51iUc34mZ/5ab7//RcRKjAeLly4yGi8xne+8x1+9k//Keq65tWXX2EyGbG3u8P1q1cZDYY9W+Dhhx/i1q0btG2L0mFh0rYttjM0taRp57RVRd1WDMYTLB7rPUVeYmyNs4I8U2ipwyLMe5TWTOcLJI6D6TUQMmSqDwqeeuqpnuHkvUN6T55n3Nq+we/+7u+A8PzkV7/KZDLh1o0bzGZT/vAP/4jrkyt8+ctfwhrD1WtXOTw84Nlnn+X06dO88vLLXL92nSzXFEVG3bkTM22OgwmrwdfU5xNjKbE40hgInkxZv30CT5J/hxQRzGBpGJ4YZQkYWT2vcx7jXQTBw/gPgeIEQCSAQuCip0g6L4kBxrLuLk4jyQthFcRIz7C2bXspwwRACBme3D0rUS1XM337+PRutZSuik/NXmYozYFr6+s4Z3jmmafRKvh1XLp0ga3NU+QXCpqmYTqbc/PmLTbW12nbjjrOVUdlzd55rnT9iSHBMTkt732Qt6prtJI9qyJTOiYwGM6cOUNZlnzpSz/E5uYGf/2v/3W+8uM/yoWLF5ge3OTChfN0bYe1LcJ2mHpO5y1729cpB8Mwd5UFmVY0TYcUgRk4nU4x1pJpFRMC6D2VvKVniqT+lJW6f1YBDIfDXu4ytXtVVT0TsuwlGB3WWPI8zLVt2/SMkiR5ORyOe28ypRRKFpi2YVAOcMDe9ICsHHLrxoK1ySY/9dUf52//7b/Hj/zgD/GX/9Jf4n/9lf+VCxfP87nPfgopYVHVcWyHfp1HidME/nmWgIW1Jspshb5Z5hkiRiSSh1jbNqi4Pkh9bwluOUy3KvW2BCVX7/Mqe7KXwfSWqpqDS69kAYzsrAcsWgiUkhRZkCbLtMBOBsEvy63RVAtu3Nqlaio8Gi8kWZGBj+NeeDzBI6ttaj4pn5T7KkLcm1/BShbiid+95/o8gGPcRQnTwIcAinzU2ujDjOB9dKOH91ber+t4t7H2cSx3aqcEQogYEkkskcgUSaCI1ywltG5zjgcFitz+GO/y+d1mJh/f/h3bvh+gyL2Uu+x8dwBFltulxXv0eogyWoW2wXBdWpSwKDyqD2XHZDJxkvH6yec7jpN9UGVZ39V/fxRLAkfupY7v9Wo87w4XrXx3BARZNV4PomoJ7OjBEKLnSDJj90swJJHVlymJAgRo4cilJdMGlTkoHL6TIMHLoHhwV93tXuboBzmf382xUpOeBEo8wOfKXfWjB3HOB7T29Pc4QXysgRHRGHRWxBdfg9RzBoOOC+c0WbaPBNbXNjHtiK5RZPkQpObWzj6XL9+ibjSWIcPhJsgSb6Ezhun8EK+DnrNVNVrnrJ3epKla6rYly0qMcTQxkF7k45Cx6CErXPTvcAgdvBGscwg6sB0CETLWZaQMuoiqupCJLmSQi9JFjnMtzluyPNymzjSAQGeK2fwQ7x1lWVDVBwAhWNFU3Nrbo2s6BuWQ8TgAERtr61R1kGoo8iHeSnSmMZ1jPF7DGYn3kmeffZbFYsHbl99ie3sb70NG6SOPPML58xcI6kkhWFDXNWvr6+hoSL5Y1L3p9e7uPhsbG70UR5YVrK1tUBQFb7zxBuvr633QZal/73pJrhRwSkG+LMuoqoqiLBHe9YGJwWhEEQNVyaOkriqqboGSkkE54PDwkKquKQcFeZ73QMN4PD4iX5PkWJJvRjKDFz4EjlJ9EuABkOl8ycoQS4mtxEBZLBYMBgMA5tMZeVHgpe+NzIfDoOHeOctgPAqZ7POq1z6HEOBMTBfnghE6SjKfz3sJK2ttWIM4T9c1lFnes1xSBjBAazpaa3CLAGpFpAMf2282m2GalvF4fMRXJQVZpQj+IF76HjhJbBcpJQcHB32ALIA8qtdq79kmVRukT6TEhlTdpWyaCoG9tm6o5gvW1taoqzqCHhWTyTrWmpAl70TPXlmVbWuawI4aRBZTagdjTGAmxGzfjY2N0KciUycFZxMIlOUab1qUzpC5RsgQNG26luawRsqM8WSCdRqpcvAwHAxxNrAgFo1gf9ZipGYw2qQYHtK5BU8+9xn+5Fd/kp/48R9nMhnywgvfZWfnkMaAaQ3TeopA8SM/9EXq2Zyf/IkfZ1hmvHX5Taz0vPzaG7z51hV+7eu/xkAXPPP4U3z+U89xaWMN3SxwraDpwIig7GeFJJMZSnhOTYbMDrYZFgWIjuFwwuZ4HWUUt27eZGPjFLu7e1jrGKqMIhvQGcf6+ibjbga25mB/l1u3bnD2zFmeeOJxfuZnfoYbN27y3e88z+NPPM7TTz/B8y98D+v/JI898TDf/Mbvc/HiRZ5++jFef/1VvvilLzEcDPnOt7/N008+yac//Wlefun7QAigN77D+Y7pQY3xnrIYMV1MWTeGtciuKDZzrGnwzrO+to61iqaqadqWTCmkUAyHE7KsRsqQwV0v5tSLCq2z3t9GKUGzaNk4dYqf+/mf58rlN/mt3/pNNjbWuX7lKhcvnOf82dOcP73F5z//eYbDIRsbG9y4cZ2qXvDCCy9w9cpllATbdUtTZxGXoSlRK/bPYOwtEUTAYAUYSQHXNLelsZPARjjqTdIH5X3st35VpirJaMVtnQg/HvASZ4nZMQ4vLCLJ/4VPlowv73rmRy9f5X30xVoGij3undkxK/UNzLfmGEDjkMrh/NK3Q5B+0uLYhWyzExZI3gd5MCkluc6o5wsef+Rh1tfXqeuK5555BtPWlGWBziRKBKZBkWc8/NAF6rri6rWrCEk06w5zXfB9WgbXj0uepXKSpJZ2nmI0RkgoioLTp0+zubHObDplbW2N6WzGiy9+n8lkwkMPPcRf+2t/jccefYQsL3FekGnNIM+ZHTacP7PFp59+ku3dW2yuD6jahrazVIuW+WyGGI8xxiIlzOcVVdWQTUq8Cx4pTiSj8NDvOpcM5n0AOKyNz5ng95S8nhKA0HVtDzoHCcSOtLrMcsVguN4zTObzOYt5hbWWxWIWAILYh7MsJIp453DCUZZ5+F1omsUhf+JHf4Q3X3+D//mX/x5f+cpXuHTpYW7e2sETpA6FDP5OAgHWEf4X+qDrWpAKYjJBlmVkGT34qaSI0nFpTAhAopSmM3G8knx6wgtUAslWgfJVWbV3jrEAiuRaY4wNQWchAisHicOhZIZUKgiWKkWjOoyJAIuXgUXsziCF4ObOPvPK4JynqeoAwAkZAgUyjE8vT4oQfVI+KXdRIkDQB+z9sfBFZMe9c5/3cr772Ek80Hf591CX5X73XZ/3Cq48gGMcKR+BCN4Dv6Z/Xcr/H7RJzxKOASsnI/CRmCIRFLFJPksdC24da6O7ZkHdAeDwJ3x2p2P42/3rHXW9zZx6LwDN3W535PM7zFp3qt/9lCOByCCRJZVDa0ueWTJlyKUhF4YsymitAiEJcIiPgZW6nXwtDxwYueuDee51JXY/z5AHem1+Cda/v1PN3R/9CCgSQY3A/mDpIUICPwI7xHrJKpCStl+yS1i+f+NRMgIjyiK1Q2QOlzm8kiGrz65U+fi75vGrEce+fK/N4O+yX9zhWD0GfHy790b+eWd5QPW97eb+pA/vvdzveu1jDYxsFnuc3fCYbgGyYTSWlANJljuyrMBZwaJqmc9gNrMYU1PVisZI8mIdlRc4J7DC03VztBSozLO3vxtkJDLNaDImL0oOpxXWdBjTIaWgLApkMcTHoI9NwXHpEZ3HuS5k3UoJQoEkGoeGuyxEoA0a1+FsCMYUpcZ7qJoFeINWEqlkH1j2UWtbSEBYhLDMFxV13QSPEZHRdhUq85w9c4HBYAwOus5FLXVNnima2lAUIQivpaVrHINyhI1Bq/X1dUbjZxFCcO3aFaq64tq1a1y7dp0syxkNJ4xGI5yDg4N9xIrEVAqsWGu5fv16n6WaZRnb29scHh4yGo2YzWZ9cDJlQ3dd1wMAySQ7gQ0QWQtdh40Zwlpr2qahiz4gKQNWaR2kS5JXBDAajRiOBnTWHDEtT+ds27bP1p7P532WM9CzT1IWdwJThBA9G2JVhkopxXg87hkpKdBZFAU60zTzpjedDxJMKhikxyColvrIZLCacR0AAYuS2REJMKUUg8jS0VojpKBaLPCRfZMAkgAuFbGdVPQkCEbA4/E4sGKU7gGklCGdrrXzQddfa42NMlzJ06CLbIwEjKyasSftfa0ViIzOGqQKQcUiy5cSLKvsl+g7go9jJ08SJgYIskGrGc6DwSBkc3uHEMsMfJdM7IsS7xO7w/SBwLW1tV6ybNV8fTAY0NUNNso7JebWeLTGoPRxSaQ5PJyys7PP1as3mU4X7OzscDDbp6or6rbjYDbHIJA6BzSzquXG7h6//A/+IRKHNYav/PhXEVLQGsvBwZz5rGLt1BbFaE55asLrb7/EucfO8NWv/km2bxzQ1JY333yL7333j/nud77NL/3K/8KFjQ2e2trkoUunydcnqCKjqz2m7TDCs3lmnWY+Rc6naEqyQYnWgldefpXqYEGWF8jhkPZwStc0aOsZiOBrY51hczzBVY7a1Gxv3+LWrRscHs5Ym0zY2dnl+vXrnL9wji9+6Ye4cvVN/pf/+Zf4M3/2F/j0Z5/l9ddeoywGHBzu8corr3Lx4kO8/torfP3rX6csv8YzzzzJ3u4Os/mMtq1xTqAKibHgbMNiWtH54Oly6pTgYH+byXjMZLxGtThkUA4YjUqKIutZCW1ro3+SQYiMoigAgVJ5P6Z6hoSEyWjAc596juc+9QwCzxuvvsrbb79FXTfs7+3x4osvBvkrrTh77gxf+cpXePPNN5nPZyEb3gV/H8RyqZz6Zgqu9p4FcT5Jc0eaJxJwkObNBFAkYHIVYOkZKM7FBaEPc4POjviGCBHO40nsjgBiCBlXNytzXap7qvNqcDiYsHuEC0zH4LOznKhW5b0SJzm0swnztrEnLnKOS2clpkrwZ5Ahb0jSZ+L3IMUK6BQJL9R1wxe+8DjeRQmj9QlaaXSe0bXhmZrlA4qiDAxBJeM82vUsvcDqW/rBrF7b8vkt+vuTrjO0t8BYy6gcMJlMePbZZzm1sc53vvMdzp07x1tvvYnt2n7e3thYx3vP1es32Vwb0zYt1hgGWcba+VNsrU+4fu0tfuRLX+TG9jYvvPQqc2tpuy7ML1XDYJgxm805PJyysTZCqQwI2ygpUWLp0QVL427viZJay+vb2dnhwoULOOeok1xl7AfBb0zGeVX1z9H0vNvY2MQ7T9t2vcRjYGi0wfPIOcpBEdoJT2sb8Arb1fzCz/5p3nr9DXZ3dvipn/opfuu3/gUPPXyBC+e3wFUMhiV5noF34IJ/iBRZ8E0RQe4ysPpEYENZw2w2RWqNjtJ2AVAXZJnumUZhTRXAIiFU78eSxlcC9o57z6QEipQkYp2hsx1CBvaWdxLjTb8wd8YinEUKiURQaEUmoSsKhDBYb3F+jPOgdMbN3UN296fBh04GDeUEtEqp0HFN9En5pNxXWQWaV4GQPmB5AjjyQZX7kbq6q+O+t30+LFDkgR3j/TjWfZaPndfIJ2VZbpeVfBf7rYJhXsafFYP1/ieyRhJYcjtPkaPyVSed9O4q+Z6CfD3A8S6slDvW8wEXf0J93vW8DxYUEat/S4KSiXQUylCqjlIGYCQTrjddTywRiT9W96PW3L1I0ntqxw+XlpWC93cq6VofVFw7gQjCP4g2fH/Kqum6j2ioj5JZFtGDIm51uyM/8h13VxIN2KUlUw6dWWRu8VqCEktkzR9r65W5zh/7iNVtPiIsvz6/631mjLxf19y3/Xs5/rsC13dXPtbAyNnNHS6cieifAKEzqtpg2pz5VLCoJPuHLZ4CzxCpx8h8He8cnQ8Zth6D1gZ8TWM6JsMhY6EwnSdDY+ZQHc7x0jLIJYUObAZnO7wIshLGWNSqDJBK2ucW50CIkCFsvcdbg5ACpZLvSDDVdM5i2waPw5oWJXVAR316Kfc0TUvdLHpvhaLImKyNWN8YMZtNsbZhbX1EOTiNd3LFUDZoxRd5ETT1paIocsKE45kdToNUUZ5RFDlSChbVHGsNZ8+dRUrBbDpnb++A+XzOxsYplFLUdRUNu5toNluEQIxSbG1tsbOzQ9u2lGXJlStXliyPKGW0t7sHIhrwAioCKklKKwX0EyiR5zmHh4eoGNio6xohJYuq6oNWWmfkOsN4aJuGtmlx1rJ1+jTbOzu0XXvEG6OuazY2NpjNZn0wf5WF4X1gRmxvbzMcjkjDLM/zaI7q0DoEXQ8OD/vrT9skwKc3ajeGyWTSe4wYY8i0ZtHUyyCk8yHIcizwFgxjw/mLCJhNp9Oe3ZFmgBTglwi0Cl4YECSKRuMxWZ4hlaWqKsqi7IN8vU9Lt8xaT3Uoshzho9G71gHQqiqsXBqWp4BRqkMKFqbgkVKKwWCAdYZ5XSFl2M4LEFF2K8lqlWUZ5Nuqumd4DEcjFosanUUWlrOURYFWEusCcOTx5LnGWUtT1yEbyVnKIkPi6Vzw6pFS0HYtbWScaKlAhqBxyrLe2d1lfTzGGU+RZSBCpv183rC3e8Dlazd4+61rvH3lBjs7+xweLrAWWmuouopyWDI7nIFQCKFoo/xOVuRMF8HfxZqWteGIzCuUUJSDAeON0winsNaQFae5fnCThW+4sb/NN779TdYHp5E+45lnn+HZzzzNT//cT/O9bz3P3pXrXH/1+/zaH/wejDKefvhZHll/hDzL6aaHjK2jns1ZzxRdsyAbaJq2piwKLjx+jv3DKbOu5fTF82xfvg6tRyoN1rNYLBivlVzbvoZVjoP9fb75jW8CiieeeIbRcMRjjz/Kzu4ODz9yiS/9yJf5oz/8fX7lV/4BP/env8ba2oQ33niT4XjEq6+9xqmNDS5cuMitmzf4e3/3l/nKj/0on/3cp7hwYYLOMvb292m7jvm8AufJ8ozZ9ADTdbRVHbyM2hotg4+DtSay9hxaK5SSVFXwWRIiMAISxdY5g/NhfDprKQqNVoKmbqjrOUWRUeYZDz/8EA9dusDLL79MtZjxlZ/7Go8+8ghd2zGdHrJza5sXX/g+w8EwBpcl3pn+Ja4HE5w7EmRnhSEXxljvaHEEQLExsJyk4VKgOc2Rqz5JzlqUlkeC0UVRRCbEMtO9l98iZp67wMqQ0oV6iGOyWRwFdpRUQdYAH4PAIma7B4u/HjyIgfbAgOlwdsmqO9oWSxwp1c05F5IJVotfgiJLIIUjQevJZBy8GJzjzNmzCAF5phHxGRLYJ2Ee3N3d5fDwEBA9ICUQoJLklKTHit4RqFv+O8zhXV+vLFfxfsKlS5dQUvH6G2/EPmp56823cJGZEuSrFly7dg3bdZTZaco8x9gqmITblocunuV3fudf8ju//S/Z2NyirRdBInNnl9FoxKm1DfIiMFEODg7hoYsRkLZBklHIuEYxvbShVvH5hiV5kiV/qL29PcbjUfRxCj5kARxxZJnG2sSeEDF2Gvpwz5KVgqLIyTIdfG/ic6vrDJkUGNPQRWA7y0uUEnjXcfb0Jv/H/+w/4b/+r/8b6nrOc596lrcvX2Z9fYC3C+aLGUWeo6VEa0mWaaQMHj3Cy/45LYUEEWS3rDN462P/ln1/7kyLsW3Pekrjr6ffJ3Bv9bm7MjaXIH9IQEgSXN7b+BqrQCici2Mzjk98ZNAojZKKPEoxStUEMJ+0TivROqdpOqq6A5EhhQjrR38neYJPyiflLsvKy+eJBuPvF0Bxr+VBV+M+jndXmeTvw3kf2LlPKh/S7T16PR+RPvZJufdyl7fuCJtD0PuEJC8Rr6NkVhF9RCJQ4uWxcxwDGd45Lt4lBHZSXe8EdNxF6YGZdwMhjgFCR74/cq67COHddd1OYK7cTXnPw3E14B5ZINFfREtHriylMuTKkAuL7v1FovE6PiZELX848nd6D3iv9Xxw5XZ37XgVVzkvdyf+ldZ6S3DkpOPefVlG+Vf9Rm5X3/e7+CN/iCOfrTJInCeCILIHRxKDJEFH/sg+S9BJiAgCCVDCo4VDKRt+tAvKQEoemWtObIfVtdJJ29xr450EXDyI0q/nVg55rx3nbpGE96PDrAJT73G91Heruxlqx8rHGhgpx4NAn3IldetZVJ7DmcL4DGNLHCVOaVAZ1nmkKhBe4bXHyZQ5G3hlwktwAi1zHB2C8ELsuwqhNNZ1BK4VvcGpdyHYk2camWVoIWnbOgZWo065kiiVY7oGYzp0zNoML82Otq0pigKlBFW1QMgwgItC0jQVTWuj/E9H01SYrqVtWsoyD4EvmZPrnNFQ4KwlzwoyVWCsw3YOa1zM8gySF9Y58iyLL/RQ1SEYnpUFUobAvVSSLCtQ0UTVGsfa2jpbW2ep6wYpgvHrmTOnQ+DABkN5rWQwqPeepq5Zn0wQUtJ1LerUZvTOEDRNy/pkwiBP8lgDrDE4QoZmVVVMxhMcAQyCEJyq6gohBbPZlOFwGEAo4RkUOS4G7Z0NARLhg8xVnhV9wC2LpuTj0STW2ZFlOc6G3ykTVkZD4vCgDu00HI7Ii5KubdBZRlkO6MwMgYzgTE3dtuCDzrx3DiVFz0aZTqdcvHiRvCiiRFfILp3NZpRlSd024IMprrPBgD0vCmazGUURsmUdjkwrhBTMq0Uvb9I0NQf7+zhrcTYwL+q65vz589R1DTIwMDKlES4wNJywzM2MxlVkWjMaDHpAoGXpD5JFmTQA27bYGJDNy5LOGMyK1ntisEAIqIV+rWLQcsJisWCxWDBZG1NkWQimOUdT1QFQ8aCEZFCWYVi6aIisQhBJeoHyglznNLbBuI7OgLeGvMipY5sq58F6Cq2wwmGsQ1gTJMS0RGYx09dZtFUMihzfGjKhaBE03qOznEJrZDbAVJ7tK7tcuX6Daze3uXLlGjevbzOdLZhXLbU1CBmkXjpnMc7RdQZRWywKKTV1ZzAi9OcfeOpJ2kVFLgO7pTYNpgOJwOUaW1doNIXW1K2FacdgtAnO89orV9mc1BR5yXq1IBso1sZjPvepz7D1pR/l4sNn+d3f+Q3+8T//J3znW9/lVfcyD515iCceeYJRprAqpzUtVmnKbIBtLVmmmC0OEMpRasvGuGD80BluvHmFncN9rPQMh0N29vahdehcMt0+ZCYXzBYLJuN1jPNcunSBGzduMT1YMCjXuXD+SW7cuM7//Mv/lM999rN86rM/xo1bt9jZ2aauZgit+cEv/Tj1ouLKtQN2D/+IC5e2OHf+DI8++SRt45hOD7l+4xrzRYP2MNvfB2uxpgvZ40IyaQ0b65pBmSGlREswpiFTlkzr+BYWno15nqOjP4LwBiVD8LzMsyj55GjqDpynzDVFOeC5Zz/FIw8/zHPPPYs1HW+98Sbnz53hn3/913rvoabp8F6CyEJgFh88eJzFWRuqKkArjbERLIlPa2PDy4OLgVlrHd5EdoYQCKmijioxGz7sn7L3nTUBBLcOZx3WG2bTGWuTNTKd0Yo2Sm6tZAoBLq4mhRBYB75zPQPERpmvI2BKlA7KhGRZex9NyMNyezUAbUzXg+b4FTksH4LMyGTULvp9vLMrEi9AXMCLFcalSJJG+HgREXAejxkOh8xmM5564vHo45A8KCIo4+DGjZvcvLmN1hlN3WCNRUoR/MFUklvyaK36xOnjbBYpk8eLiKAA6cLIMsV4NGI0GNJWNbODKWfOnKFe1BjjuHb1BvN5zWLRcfHSJdourkNczYVzG2HeMh2mrfjRH/siO3vX+Ef/9B/jnEFLyDPBcDhgbX2NvcN9ikHOsCvZ3T+gbjuKLMpHCY8TFuctnemomhqtM8qiCMCLtxEcAGMt5WBAPp+zf3DAuXNnmaytMZ6MOTg4jOCPJ/MSXGAmORt9ZITHRKnEACr1SyUECqUFeZ4hBQGkU4p6scB5h3Utpm2pq4qtU6f4q3/13+dv/+2/y8H+fmCDNoY8L7CmYTqbUmiFkgEgyFSGUjlKarRWZFojMolQikxIlNS95JYQMl6zi8CbjCyjIG1qrcP5DiU1SkikDkzOALyB91E6SwXAI63cvRAIqdHSI0lAIiB8fL55rHfkKoCwIcmjw7gOZQ1CQpkLvJNopVExY9J1I5w9zdXr20wXDU5KdJwHrLO9z88n5ZNyz0Ww9Bg5Mtd+BMv7BIp84OyP93re93LudznWh3vbP0LRzU/KkXJSv7ibu3UEBFn9PIEi6ij40bND0mfJRyQFKk/ISXlH3e5UsRO+vy1j6R4AlOUxbg9C+PTfE4GQuMHdMjvuBRS53fkeVDkx2LpiuJ7qIMI6VEofTNeVodQdhTLk0oZAdWKL8P9j78+CbNny8z7st4Yc9lS7pjNPdx57Rje7GwBJiAAEULSswVbYVsgO20E/OMKPJuVwhBW2Q+EnR+jBUtB+sETZJimKFAgBIBsDCZIAGj133+7bd57vmWuu2lMOa/DDypV7V5064z2n+17yrog6VWfvzJUrV65cufL//b/vawLZMbx9HFb/KM/p8Knc03FuTVJp3hOOVOGZd9m9J7Y068mFqPzRej9KcQhE+17z8Oq9nxJz5FpQY8FAPRqrRz+RliHSfDZ/A12oIyY3tduG70QDvCkZWCNaB9aI1yow0hYD6HdCuhba+6ClHcOP4uG7MOCOzsUP1VPuES8cPnL1t3l23Gv5RAMjO/uSrZ0aUBiX4WUPZJfSSJApTiqEDhnrta/xxqJEgSNkEkohwg8Kieapx5+grmquja7hhWiCTyC8Q8gAZsRAkdZpeNmOUiK2xitFo4pEWdVtlqrWScsGUFrhnQ2SJ6qRKcJRFSXCOzCe2WyKMWUbXCtLh1YJS4M+zvUCGJMGdsNsVtLJ+2ipEErgrGc2NvR6fUxtmBbBqF2poFGdyLBfUZat2XXQ2g8ZukEWyZPlIcgdJDgkzgR/FFNHOYqkMXuXJEphXB08vPFUZYlOU/JGsslJyaDfRwhBlmVMJhPA0+91cKZGSU/WyUKWrg/XJUk0Smu0Tto+z7Kc/kDT63dbZsG87UEqankwbAN5QR5lbmAcfjdSNUqDAq1D4D9NMyBmIM9ZI0GKS6IDFkZ/sIQxltoYOp1gWNvp9kKQPc8QNGbF1oEJkk3Ly8tByqvbpa5rZtMpSRbYJNGgV01VCyIE7wxDkmXknS79fh+EpygLrAvmvlkW/FKECCa7EsDPDXan0ymj0agN6E3Hk3DdZzMmkzEC0UoORemz5eXlQ9IhMfM8mtWHbO7GN2AhaNrtdimKgr29vWBW3zBy6rpuJWMGg0Hr53FwcMDBwR69Xo8sy0ImsNbUZQjgBlArgDK2rts5ztTBywQR9LElNPIkHi0EeZpRO0ttHAmgpEJIMI1pr/MO40KQNWYRdLo5ZTFDVA5TGUSe011awuLZurnFS+++yWuvvMHNjW32pzNG05KirMGDNR4vBJUL4IxzltoHbfhUpYxnBU6AwCISzWw2YXllheWlAdV4itQaq8Eqj/QeLSReerwK52SsRwuFEjm20GgdgoqjaclkVrGzv0eSSFaHQ5ayHnvO8eza83z+a3+Biy88wY2rV/nD3/0Gf/aH/4LrNy7z+Re+yJlzF0B1MQqk7rC/s0VXp6hEMB2NOXdiiWK0TTmrOHVunau+5oMPr/DEs89ileTGzhbSJxhbgRR0ez2++73v8twLLyCVIO922d0d8e47H3Dlw6tceuxJTpw6yfbOLm9//zX6vYyVwZD19WUSpalqx+5+walT5zl5do0bmx/w2rvfI81yTq2f49lnn+GpwZDLH17hxvUtUqWYjPbZ39/DA0qnWCdRIiVNcvIsBSxJIkiUBhx16Zt7QyEFaCnIUoWgCZh7C14FnxwhmBUF1kKe9ahNycrKKi+88Bx1VfDOB+/T6WS88spP+cEPf0CeZ9S1bRgjmiRReG+oTUVtDN6GoLeHkG3PXKYnBtkhMinAOt8GXoUIgdfAEnEhGO9DPTJGt3yQDtI63G/eOmrrGI9GTCcT8ryDVhopTQuOyOb+CYxEH0ARE8S4tA5yULZhrBw1jI8l+Ho1jBdowIRQvPdYU1PXVcvGkFIEiMMdfi3wkcZD47nlwVsPMixNYja/9OFZvbi68SJ4eAH0B33quub06dN0sgxvLf1+LyQ/EI4tfJgXt7d2mYynjEaTAByVVWBxaoWzNUmaBkaamEskWmMbWnf0q2j6Qfj23L33BOKEI9MJWkr29/bY39tnZXmFJx5/ijzr8v77HzAeF7z3/mWK0vHkk4+x7ffwtqYsZjx24QxZohnP9pheH3Ph4mk+99kXeOmnr7G7P2W4doqz584wK0qMtRRVTVnWbG5ts79/wPrqEGOCd0ZkpqZ5ijAWCC8YsnlO6UQ3rKbgI9Lpdrly9Sqdbqc5V8l0NsU5i9aKVKWB0dQA1154hBJBQlQ6EK7Bs5qjNP0km9eYvEnAyJMlamNw3lPVFiESJuM9nn3mcX7lV/4if/SH/5Tf/M2/SjmrWBqs4hJNYhVaOExdoKXEGoOtPVp7rHHU0qC1QmfB0yQ8+2lYJgGwMc4gXADvAotjDub56P8jZABOpARUkH+k2QaB0szl4hrABcLaq+F8NvcZCCXbsevEAisKj1CNfCQOspA0gvPh2eS6SAGJkly7ucnBJDBtlAqyYObjlDL5aflElkMG7B/n4fQo2/YRgY77KbdmuP9sjnu7crg9H4MB8DFowqflwUsboFwMMs6XqSADCGLTBcmsdAEMWVzeHQ1sHQfkHQnKH//5kXIUWLkPIGTxc7/413EgxP3Uex/HvWsR99gPi8VDm7V0m+h4nB5ueR2I24uF3RrD9QB0BLaIFJ5EOjJt6GhDJoPxuhY2rJkWAJHIGokHOBz+/jiVCFwc/uxWOGMOa/hD+97PMY6v935qunWPhXqbeMjPspfnoMiCh8ihHw6BIm4BNDkKMh0FQyIQ5Re2EUQ5rQDSJdritMNJh5PNgj3mG90OHPgoz6gFUOWRAHy3GxTxuOI2h3yQ83xYbT967IdUr491HQeQ3EP5RAMj08lJOnkfT4oQCQ5NVTos4UnrbdB1FsqDN0FnDgUimKyHl0waAETwzrvvBY+FRkvdOkev32skTWwInsgkPCVk6HHnHEVZMBgMSLSirCzGGXQiSZOMytigce19k2UaslPzNAvBPe/Y2xnR6/XY29vFmpq1tTUGgyGdXreVRQreDSFoNg82SYZL6+zu7qJUePnvdYN2ulaaqqzoNEyAJEkaaRPXykUVRQFAv99HKcXe3h5FUbC2ttYGtoNkVABLxuNgqNoajgJKSrRSqGie28hTJUnwwNjZ2WnlUaKslJSSopgh0ow0y8P5iKBFX1QVWmuMcdSmRKoQsIzSTHt7+0wmowYUEGSNFFSWBeml0WgECJQKwX6t58a+RVW2PhGLmvFKKabTaftZ/IlAhUSh8wTrQgA0+m9Mp9PWsFgJSVEbVBIC+pWvWF5ZaUEKIQR5npMkCWtra9hm3MBcn36enS3p9/tIrcnzHOsCwJCmKUKmaK2CZrmApaUlrDEBHGl8MIQQnD59umWUCBHkhsqybMeNEIK1tbWQOS9E6z8Sr0+QSKta35CDgwOqquLMmTNMp1N2dgqGwyH7B/tB512GAFFtKrwLQaP19TW00kxnM5yznDp9stFoB+8tRVFw+fJlHnvsMU6ePMl0PMGaRhKJEBgumzEqhACpscaSqIRumqFFiq8qUAneOKQQaBS1MRRYjDVo6RFC43RCVZbgHEkSmBpSgPAW50EmkqwzAJVy7cYmr77xJj999XUuf3AT7wS195SlxTqYGk9pLEpqEivxZQjgSiHQVuAlVMJSC4sDOlJii4KBTjm7sko5mSHznN3pBN1JEDIwAFKlSWx47FcqwSZJYFmpJAAnaJT3aAGpUiRSUs0MG7Nt9rIxxtUMzp1guN4j6Q04+9hj/PX/3f+WX/sr/yZ/97/6O/zOH/xjzp2/yFd/8Zd4/vOfZWdvl8oahIfKFHR6XaamZjwas7uzx5lTZzl56RKi22d/OkF3u9QOpHV4Jbh6/QrXNzfQacoLX/gMb3/wLtYKNm7u8OGHl3n66Rf5td/8t7AITpw+xZ/+6Z9w8/LbTPd2efPq26R5SpYP+It/6dc5dfYC71/+gLWzj1G4lPHBlMlEUxc5k1nBM099Fi3f5b0P3sV5MLbmrbfebOe28SjMN0oKhAgsGKVSqrIiS1O8hyRJcM4GeT1vGjkciRAhoKu1CM8Ra/DeNTJ3Cbu7uwyHS7zz7ltkSUpZF/zDf/hbTKcF3e4gmIcnGlN76qrEa4E3FlebViLH+/CsqAmeR46G2UYIsrvmGeNcMJZWTWDW+vAcwjkSmYSFnvAgA3MsPAsstY0yjgrhwRjLaDSi1+uTpilF2XheNS+oQsgGVHGNJFVYQvojb6iLpu/x/9FnIc5d4f4MUkreucbbqWrn7LifjyvWIyVm5YuGqRfe0XwITgtBFBpzDdslzi9h8SPABz+gqpgxHA4ZDpda9oJtJJOMtVRlmBu3t3fY2t4OvkLGYBsZJiEFsmHkCSebd97GYFt6rJ2bbsdDRxZN/CxVSQvse29BOPq9LniHUpLt7a0wLxvLbFbw1jtvsby8xPLjF6gqy97emOvJFifXhlTGsjTsc+7CRT47qyDpsr03oqg8B5MSL4PUYFifeA5GY/b3R5xs5l1va2JAX8nwciGQ6CRpVHglSiU4V7WSh2EdssfB/ojTZ05RliW9Xq+R4pIkMkE0YEJVNfcRIJVsrrVpAT8RFlfNGHLt64kQoFRgWnghyLtBarDT62JMza//+q9QlQX/+J/8Lv/Ov/M/ZLjcR6nAAPV2RpKGNgRJONmsa2pqGzzY1CwwDPM0Q2pF0vhxBNZIgpS+WYf5IL2FaEEMCEyPAHLN/bWcp5GYE1gp2vqQIBvYp8YihG+l87xoxpQIII4HaABC1axLhFJoF/pFKo1o5nsvJA6JkI0k2cYO++MpHof1fMoY+bQ8eFkM8DUBgI9rTPqRBWo+ygl/1ADSRwRFHnqf/LxBkWMO/3EMg/5rWRYChLe9JgvAQARBonfI4o9bkM7ySdjmECjCMb8X/j4e0DjSqjsM5Vvaf4/ghb/N5/cEiohjJtf7AjruZ9sHAEViWQREbkcduMNNeezhooyW8CjlSJQlk8FjJJWmYYschgoOM0WOeIq08MLPoNzzQW7d8DjwAj5K6+PZH1/v7VtyL/X69nLfJgfukZZFEOTQZ34OdCyCIbewbSIIElGQY+qOJb7VShFk3RJlsdpSaw/K42WUgWb+HnrkWB+p3Mtc+lGqX7x/jx63+fzY4zbf3zOj5GGWOw3oh1DmUofc1w3yiQZGrFjDii5lZfBeorMcrUMQKbxAGgSORCl0I6GQyASJRjraoEo0ns3zAIoYZ+n0ulR1HeR5RDBUzbRGKd0GQZr3ZAaDAb1eh9FoRFFMW+BBCHDWMJsZbOPbUFUWawxSCg4O9tnc3GA2mbC+vorWmtXVVdbXTyC0wtqQHQyC2axq2hlWHkJIjBVMfUGn0wvBdalI06z1ZNBas7S0RJqmTeA7+BrEAHhkMESTcAiB9hhMt9ayubnJ8vKQPM+DF4MOxtyTyWRuru09vV6P6XTaZkPPZrNDjI6gNR/alWUZUoYAdvg7auDXbUal1hqdJIzGgfXQ7XbZ2Npkf3+fbjdvGRPBvN225umRMaFU0gbxIgCSJBlJ4tpzi+eplKLX67XbpWm6MCZyimkZsqwbFsVsNsX74JUSg/dRczxt2pXnOaaq2N3Z4cSJE3Q6nbbPiqJgVgYfjTzP2d/fb4NSAHUd+ulgPG4DKK1Gvg/a9EVzzaSUdPp9yqLg4GBEt9NFStmyOPI89NV4PG5YN1lgUNV105fdxotAN9fAtT+DwaAFyAaDQcsUUkqxtLRElqUsrwzZ3d2l0+kQzXsHgwHXr1/nypXLDIdDer0eg8GAy5cvk2UZw+GwbdepU6fY2triypUrrAyXw7WpzRyUakA3hKDT7+GVppxNMMUM68K91Ov0QjZ3ZejkXXSmMD6Yu7u6RCUp00ZzPwWwFukcvaxDt9tlNB1jZcrGwYg333qPV15+gw+vXmdja5ck6WJRjMsZtnJomVAZS5JnVEUNxqKsCJnTUiGMB+FQHYkRhm6nQz2eoZxjpd+jnyRMp2NMo8dvagOmpjQ1WkiWshyNwIgKlWboNEUkHu1ClnHmE6wEJxQ60WgZMr4L5/FJyh//+TdR2vOZ559ibTjEO88Ln/88//l/9av8d3/vv+X/9//5O/yD3/1tfml/m/PnzyOUYFaV5L0ea6dOUZQlu7MpU+t49/oNHnvsSU5efIwrP36J3Y2bvPiFL/Dyqy9Te4uXjiTXnDh9gq3dTUgkBwcHXL1ymdUT63zll77OrCyojePyD3/IpccfY+/mZd594wrDfh+vHDc2rjOpJiytrpBs7fDqG69z8fwTPPXkKTpJzo0bNxHOsD+6zIVLj1Nax9vvvkXe6SJkybvvvkOapnTO5MymI7SEfr9LlubgakgCAGBtNDD3OGcaoNi2ptTBr8OBC/JbaaoZLPWYTCa88867XLlylQsXznEwnvAP/sE/4MrV65y/eJGbNzYQSmFtExCVgmJa4IVrstBDUB7m93FcwTjXMAyg8Q2x7UuY8x7RsDZsk9lONLSO3xHmMQd4YxrpqPDcsdYynU5bgDfK4gXvkiajKy6ImmD/fL4Mx7gdWyTOO3G+iCbV1rqQxW9MY4Qdg7d+vnD1832Pencc938h4oLYE5k38w3COVhjMVXNifV1xvt7nD99in6/SzErAuCiQtum0ylvvPU2m5ubdDsdyqoKUoadDp4w56V5QlGUKBk9w+K18UTPlBgsX2yzaNineE+SphhTc3BwQJZlDAZ9Tp48wcHBPmtrqyh1wP7BiNpYirLkW9/6Fr1OxoXzpxE6ZTSeIYWnLCa88977HBwccOXyVW5sbnP56gYWRd5bwjrPwd5eABlOBpB7Y2uTSxfPkeU5zmqEM20m2OL5IGi9oWL7XSOH1ev1+OCDDzh1+iRlwyw1xlCWFTJpEiGaNY6xvs2ZW+wXCOyg6JWTyMAq8d7gXLgPXAMe4AIjI827CClwvubf+R/921y99iE3b17jhReeJUkUdV3SyROUgqooSFONkgk2LEGQjYyntSbIhtYGqRWqLFufHpXodvylSU6SKIqiwjqDFhrf+K7M1w3NePUBoDPOcmgl38zLQvggk9q8XZgGcPOIMAaDHhdHIylR1gvhSLIElKespiSJZLjUxeI5JdZakGU0LYN/kLyPVf6n5dOyUNpAXxzG4ucTFLlreVRDfBHY+FneRg8VjBGPtO0/s+Hw6TT2cysLt//xZRHwOC7YdhRgjYCIXJDHOmqmHmWy5O2ADo4+Iu8AaNwbEHDsvX4bUOT4Yx1zN9wWCLnH3/DwIpH3ZbJ+h7KIkh8ZHMcFnu/lOGH95NHKkUhLrmo6siaTFiXsIZtsIRadNw6DIjF0/vPGcO+1PCofuOPr/SgeJIuQ08++HDofP/8dwI5j/EP8AlvEs/D9vUe+pQjjMdUWoxxWOqyIoG54P39kIMEjBAJuu6ZpvhB3ObZ/hG07rohb/ni4xR83595j+UQDIzuTbXquJM+7WFtRV0WQX0o1zhu8KUmlINMhMFYZQ1lOcFYEs+VGZNcZi9CKTqdLbRtj6ETTydIWNMjzEPitbPBbSBqPBOcsRTGlrssg39HtUdUVo4P9wPKwvg0c9ftdZrMZ29tb7GxvI6VkZWWF82fPsrS0xJkzZ0iShMlkzKwoQUmkTLDGUdmKfr+PEJKyrALw0mSDSilJ8uBlMZlMsda0DIPpdNrUOWkyXufSWd77FvAoioITJ05gjGF/f781DHfOUVc1VRNkj/JI3W6XqgrtUEK0gQQvRAjmNuBDDI5JKRmNx3R7XYqqpJt3cA1Q4lyQfwFJrzdoJGRgPBmjGsYIBGbLpUuXmEwmc3aHg143b3w7LHVtm+CMXDh2kKnwTZastUEbPsuCXIgxlrIsW3BD67BPXdfs7R2wtrrC3u4u0+mU1bVV8uFSc+66DbDGoGJdzChmE4SUdJKUXq/XylAtAkTLw2VmxYzJZIKOzBBrGY/HKJVgzIy6qhA+Je11AYdp6pEEgMJaizOG0gW2zcrKClmatUBLWZYtg6TT6aBUYJTEsZFlGd57RqMRSZK0gFAcr845iiKAaWtra2itm/ap1ky4rmtWV1cP+ZoIIXjiiScA2Nvba487Go2o65qtrU3yPIAxVVVRTGecOnWKvb29YLouVTs+Y5Z4XRRUjQ+NcA6Fw+EobYV1Gu2azNuyCkG/NDA3pqbCVJal1VXq0RRdGpa7Xfr9AfVoyv7GVd748DKX9w94Z2OTmxt77G6NKC142cU5zdbODjJvDIVrQ2ItZn/EoNuhtjVJR1NYg0xC8E9Zh6tLMu2pRntkOiWViuV+l3I0gm7GxtZN8k4HVxs0EpWn2ESzX1sSG7xmdFKj05Q0zfFZii9rkk4nmM9bz8wYUq3QaUrSyZFZgnAZxeyAH7/0Kt1E8cyTT9I912Nja4v/6H/9v+I/+F/+L/hP/y//V37rt3+bEydO8Kt/8Vc4deY002LG1sEBRVVT6QS1lNHrDnn9gyuMJxO+/OUvM5mOWTmxwtZ4jw+vvsepM6cYzSZMJmO2t7c4sX6ai+cvUM0szz7zGfZ39lB6ysrqOoNujxtXr/HaK69BUeNFzRe+8gX+x//hV/nvfucb/Pl3XibpLPHkU88xmcC1K++yPFgmVZK6rCjrA5xOOXfhCZCSN998jbyTMh3vcfXDD0mkQosgFNTtBmaWsxIpdfAvcg6PRWmBFppUa+raoSQoCcJbvAVcYB5JGcHUhKXlZU6sr3Pt2jX+/M+/xauvvcGJU2fZPxgjk4SirJkVBRBMyOs6eN0IKRBCHVrMxzmpBbkJwf8oXRUXL63R8sIbaV2WYQ8hAqOF8CzSWjf3ikM05uN1VVHXgbUBoBNJ4hR1LTHOHEqJaQ3cG1AEfLRlWUgCiC8mc4aEb9+WAmMhzgeuAXlo9xcL+9N+HvpnXn/sE+dcyMT3gcEiRfAViXNBkCukacccnFlbW+NgNGJpOAwykSqcq6ss1jpef/NNrl27wfr6Om+/+24738TnFgKqMkgnRmC2qqqWWRmN7yM4HOUn2z4EEHM5Mm8ts8mEqqr4+te/xo0bNylmU7IszL3Ol/QHPWazGb/7j7/BL37tyzx26TxrKwPGkzHPPPU477x/mb/39/4hy6trdPoDNnf3QSToiWFWFPQ6acvgqWvD1uYO08mMQX8dnKKqwTUJAFrMPTesD/5NdV03SRyiZfOtrq6yu7vLeDxh0F9iPB6DF2gVnjnezQ3vE5E0QRERjNTx0Jihuyi1JqJRexivzhsakkRgXYjguzGdjVAqQasU6Wr+B3/tr/Kf/xd/i6eeeprPvPgs1hZ08g7j8X4zRgTemybjTTbSWc2YaCTsjDHUJgAlSimUTlqQUDRC5s6FNkulmgCQa8d3TJ6IHiVq4f0rnFPzWiYExgcPG7xEoJo5BxAyeAAt3M/t+sV6JGGeCsfw9Hs5UqlgvK4GjRSqQivNxtYe1uy1gNan5dNy36Wd25v/3y5D+ONQHiE48vOo47beBj+DY99rvR8bjOzjOib/FSj+yN936uoWSI1jowE/WjaIXPi9+KOObNP83DGGec+gyL2VW9get9nf30ub7vT5LX/7w4HKewBl7nq8+23T3cqxkfQj0dEHmgzmAEsLiihLphvTdWmChJbwCOHu+VRuBUXuJxz+syw/y4dW5JGEvx/8yD/7XpxjbVH+6qiJumh9N4PsszgCmMjjWSQLJcozh9c7j8KhhCWRllQZamWptMdrD/UCTeQ4kODoZ8dfjruXR9HVdzruvazzHgxV+0jF+0d4uCMVt3KO91g+0cBI1stJOwmI8EKvpUTgMbYkyxIy3cHYmnLWBIdE2mYqJEnSvtxXdYVUIZhxcu0klanZ29tDa02W522GfQyGOGvxtcE2wWOlJKlWeBUM00ejEWUxa4yygzH3bDoLjBWt6ff7LA0GQAj297o5aZJSFCXT6QwpQ4DehnzDxty3xFpPkkjyvAM+SDr1ej2uXr0OfobSjZwJjk4nSGolOmFra6vRmZckSZCVWAROjDFtAH86nbaMh6IoSNMU04Akxpj2hT5KbPS6Xfb39xmNx+RZTpboVkIlzzvUddUGjfJO3gb0K2OQniAx4X0TpxNtQLyqqpb1EjxJIE1Sdnd322C/btg7bZABGqN60wYzwDdt91hvSBtZjZj9u5ilHM3CjTGt/4cQgsl43DAkMuraUNU13gWpndls1gJNsV0CSaI0xaxYCCCGEgNxRTFrDcpj4MM518iWhEz2fr8fWBFuHgAVAsbjUXseOtFMpxOkFCQ65eDgoJVDi3JYEYypqgCuRebOysrKISBkNpvhG/YPhOsR2wYwmYzDfaAVo9GITicHH7JjTW2wLrCB6kYOLdEJ6cmU4ImTsjxcptfvUZYFZRnOfTQasb25xQ9+8APOnDmDFJIk0SwtDRGE4Ofy8nII/gqBq2oSpXDeUzuL1RKXKLK8Q70zwWPAhKz4unR0sxSJJ68NqZQkXjK9vsH7127w4ftX2NrbZ7MoKLtdbkxLNjYPKKcWVM60qHFuRtbrIrzHzgoyIPceKQx2vNsANJ7EOzCS2hh0kqCsCfJNCKQIweaNzWsIL3BaobodJrvb9NIOiUopZxPIEozOUEKipUZZh64NZVmTVWkArkxFkiakqabTzfHCY4VE1DWZ0iQyYdhZJpEeZyreeeN9bl7Z4PnPfJaZM3S6Xf5P/+n/ma/95b/If/H/+M/5wz/+Z/z6v/GrnD59hutb2+yNxng0WdZjY3/E5v6IS5cukfT6eFOys39Ab7hMcjPF2BkrgyGT6YSDnT26aY/1tR5f+eKXsLVkNis5c+IURTGlmk75Z9/4JwjnOHHmAucvnuazX/wKm7sH/OIv/gqb22OGyyfwXjObWg5EkAq6sbPFtNjjheefZjQ94M13r/DYhQuUZc17773J0mDA7s4mWgmyRKOVYjLp0u12AmiJQ2mNcwZr6wBmakmahs8WZQElgRVmTE1ZWJI0bWXzvvXtb3PlyjXefutd8rzP/sGYnb1ddJJQViW2CRbPZlPyNMdbCy6YdKdp2gZFrbXhp5GwCqbska1hQYhD/j1xfouSfTT3Kg1oKBfmv0ADFu29G8uiZKBSKkihNWBDkNFyC8eTjZeJu2N6lveuYVHMgYm6qjCmbmR+5mkqrfxUY5Qeq/X+uP/HA8T6PUSpqub7yENxzuFFAJmqOsxtN6/tk2VZAJknY7r9PvsHB7z33vtsbe2QpDkfXrnC9evXUTr4WJm6xgtaE3Upw1xsbJD7K8uqbWO8JosSY74BbLyUSCVaWctur9tIUdb0+z0+85nPIKTk2rXrnD17mhs3N5lMp3Sa5/lrr7/dykYuL/V5/c33+YUvf53h8gl+67f/e3b3ppw8dQ7rBGXt6PaXyFJJkmSUZWBH7e7tsbO7y8kTa9AE6mO3ShlYLaLpxPisiwyKeH5x/n3n7Xf40pe+1HyWhmepMcT8PefdIcq5c3NWY7zm8dkhcDgr8Y203KInTXiBFsGs3jrG4xHd3HL23El+9a/8Ct/9zrf5wudf5PSp05TFmOHyMkrQPNsc3nqs9UEWzcZXraPjtbn3GinSqqqZzWaoBoRPkwThw/pJ6EZ5WYbVdJDdAuGb+9D5+ZgmjMvoAzQf07KRhzsMPi4CI7HPhGzGnPdIAYNBj07Hsb27j1CyeQ4ukShNojSmqtjc3Lrtvflp+bTctYiFF9OPX2Tp1vIQ23jbTPUHKfex/zxQ+pA7/OPaNx/n8q/yuT1AORozOxpnW2SE3OIVog8DIBC2WfQaOQRQ3EM0+6MCIrfsczcw4raf3YWVctwxbgcuHtrf3/rZfYEjDxG+vOXiLwSH7/XY8QKL+fpLCFDCkypLrg2ZCt4iqTAo4ZBN3O7WwxwNdR93rnNQ5J6Gxi0bCcR99eED0GV+JqVZX7YX0R/55uNXFoghLegR/x99REK63QIogsBB60My9xm5AygS+0QEqWTZJPwp6RpgxFJqi9QuACOtCbvnWEOO44bLvYAlD1Lu9/a+03Gbuo71GPk5ACLtcR9RXx1dw9wR9L5N+UQDI0JJhATrbSO5o4Pcg5BAEm4oGyQdQIISeF9gsdi6YTvgKasKgLKumJUzqmLGoJMHTWkXjLbr2tBJc6RWOBszLoNRpjE1pihRSmKtod/tkqdBxzvISSmGy0vBqDrvsLy83DIqiqJotLaDiTmEQI/FoJoAjBKSLElDFqSCNE2CqXVRcLC/j24COalO2iC6MxYtwwu/NYZOnmOMpaoCwJOoYHZdFSVpGrT4Y5AkelIA1HUdzL99kOCKQb6iKBrWRIp1YKzHeiinRSurIoQhSTKqBhxJ0xzvIc+DebrwzbkuBGeiVAnMgysxmJ/oIAlW2LIJaAQZoclkQlEEnXQvgoxXkNVKyLKcaCKulW4zgWOGNMxBMqBlShhjWtmwRMnQR1WFjprjTSC0rKsWOIttxjq89K1Xx9xUfe7vUpmatAkolmXZtqn1EhECaxvWjqCV+hFCtsE5JQNjqdcL/TmZTEjTjJWVlTAGFjJ7ozwZ0AI54/G4/Wxx+9hfaZq22yndeMhI6HRy0jTBWYdugKwWZHIha16q8OYdDdX7yyvs7OxQTGcIGcaXs2GMXrhwgXPnzrWsk6qqEAhm0yl1XbO5uQlAnqbURUk3zxHS41IFWrEz3mdaFZjJhOWsSy4VflpgihlCK7S1CGu5/sFVdq5vsbG9y7Wtbaa1Rw2WEcvL3Nje5fpoirEyPJxrj/ci0MHrgqSo6DlPP9Vob+glku6wR5ol5N3AvJGJplTQGSzx2Wc/x49//FMmpuKZL3yWl996g2F3wNm1k7zz9ttcuXKVc08/ycaHVzH7u6AEJk8ZOQEqI8szkjRFqYQk0dQ+RdeatNYkWUrmMgoqtNHkrks3FWinEGlKqjWpD8G2/rDLwWTEj176CRs7Ozz97LOsr6/yG7/5G1y6dJH/8v/1/+Yf/8Hv89nPfYEzFy5QeYFKEmTeoZunPLFyisFgwKioqD1UdcUHl6+QZR0yqxgnEyZ2ArVjdjBhJPZQRrG2coJ6PGP72lWyLOOP/+AbKFfRXRqSr6yxfvEpfvza+/QHQ1aWVzixNqAoDHVdkSYpSSrZ3t8k62Usr55kv6xIZRfham5sjDh16hL7u/uMD7bp5T1Ge/tcv3aFXrdD1kjUrZ88SZJoTFU02f91YNi08lkSLdVCQL4x/YsSP+Ejdrb3uHlzi42tbbZ2dlFas7N3gHEwHU9xPhhTC+HJOllc0c3fkxrmidZhvqrqmrKqqKqaYoFN5hs/hsUAagQ1FoEP65vcGgG2YYk451BiLtYsmzknArZxf611wxjwWHc4ULvonxGPHfc7HOB1h9oKAeCOZtaLS5O2/oW0w5hl7x0oFQPJR1cugUHYSi41GfIRFJr/HWrNs5zJZMpweZk0Tbl69WoAPTxcvXadn77yKt4LZrOSn77yKqtr6wQ5SodUqvWP0lpjnQWpAtujrJpnxcIxj1llzQH68LJnTEVZFZw9expjDEU5I887PPXkE8yKgoPRhJXVIdYZyiIYvlfG8trrb/P5z73AoD9gNKvY3B3ztV/6Fb79w58wefMdhNJMigLnaFh3NH5XM3S/y3g8YWt7l1lRolXDhmj6fe4HI1pPkMgaXBxndW1YWhry3ns7jEYTXAOuSKkCYNW8thgbxoFw4UaZS6S5I7JaIEXYNyZARPJ/MK8PLI+imJGmOb08J1xmy1e/+hV++MOX+Pa3v8Ov/tpfxtrmOSYtOkma8w8AXe4CM7iubUhesS6018cXpAhGOJwLr8aVC+uhShkUBVILVBqedTrRKKkRQgWHFCcaP5fGz0qGNBTvGhZOO0aibF6MEsVxH8C+yGgNr7M+aCg3CTZCCJw1gKPbyVDSgAtrQFwHJdcR3iFsdcsY/LR8Wv6VLLcLND6Eeh/G/o+kbfdZHnobPq5RtYdRHvG5fRzGwz2XhcDeLQGl5nf0BXER/NDz/7egSJTHWgQ/Fn/fY7k7oHDMVh8RNJlnEt/myt0LgBLngrv6fBxzjPtu/32080GqFEc+u129/sifYsEKW3qUdKTa0EsrlrIZ/aSko2pSadHCMV9JH5fzH8Pe/mMA3h8PzHy8JslwIx91Ifk4tRCOA0XmfxM/Ixqux59gvH7YmP24M5tfkznUEuoMQF2IOarGYyRVBq0cQrkW2JUybn2bK3wUCHlU5WEe53ZzfPPdz8VbpCkP5dBHz+G+ENPjyycaGPE2xdQ6MAcQeCdwVpLlOVVpMbVFihAgxwtKY1A6CWaZzqHTBAGkWdpeoboo0FKSyAAfCimoPUjrcY1RsTfhxdv4EIS3tmbjxo0mOCbo9jp08pS8kzMcLtPp9REQPCZk0LmfTmcopVpmhkDQ6XeCeW0T+NaJbl+Yg8SJbM12nXN0Oh3KskAqGCwtUVV14JjIhLIM/h5RQiK0c56FG7OQo/H6rJELifIRMWhubZCZkgLKsmz7Ps+DfNWisXgEG2KAPWTy1pRlSZqlrV55lO4Imbm+1T6P4EM0mc+ypk4bskxns8C6ybM8aNg32u/OedIkQcrA+umIYOKqE41Owjkop5psXtWyM9RCUD8GLSMwE9vvG3CsLMvWmDz6ogghyFXe7hflpWI/KB0kvKwLfhJSKXSSUJQleZ4xnUzx3rG0NKSqSkxtGqNo3wJnQgqUaMxhZRhfw+EQItDhg3Z+YBBlLfMjgjURBIkAyXQ6bc109/b26Pf7rS9LBCYC2ydvQRPrLKlKSJKk9RKJrKBup9Ne8zieI8DT7XZJkrBflNGKMjTW1NR1hbE1ucxIkrQJrGXoRKGkYtDvIWQwr8/SjPW1NbY2NsE4EB4rHJW3TGtLKUpELihcwXIygO0JW2++Q3EwRk5nFDe2mBxMOKgqRl4ySRPsYIlJlvHBtesc1DVF7cGCryzSODJTgTJ0leDUypBhltFPFatpCkVB3k2psKycPcmV69dCP3ZSrm9vsNzvcuHsab73gx+QescTl86xdf0mzz95kXO9Dn+yscGvfeYz7Kyd5Nq7HyASycQ7bh5MOCgt1XTCeHcHKwUqz+gPl5FakeU5furpFF3ybk6SptSlw2aeWtX4vIvqdEAJOnmKF4LltZOMZiOu3bjJ7sEBZ86c5qnHH+czL36Wv/E3/waPXXqc//r/+3d568MP+dXf+LdYWTuFs4rZ1JAkOXmacXCwh1QJVz54l9F4yonlAQc7E7KG8WLqIEXljKWaFdSdknNnTvH6a6/zgx98j8pVrK2vkq8soQc9ru0ccPPGFk89tU5eK4pphZKSfi+nsobTp1d487136aQZ7125zMpgnWcuPIktZ4zHYzJlePqpF3nnrZ+yu7OB8JaNGzcZDocondDpdunN+qwuL5MlEpMqJmOHtTXGhKBkVVWoLAdoxrpo7nGF8w6lNN1uH6E1V65d58MPLzOdldRmTFUZjLchgCoV4Khqg1YSUxkSrZENS09KiZIarRKc8iAkSifAlLqq8MLjvF2QsgqlXaB5j4tstAiSwCGwIs6htTGBYNxsZ93cLyQGZWUDqC4yNOZ1E9pwZFFxVPLKNpKSqgEqvAtB6ADeRAHpsOr1bUA8Bs7n4I8TogmCR5ClYZB40b5oxefJ0QC+bNLNlFTkWU5dVzz13LMcjEa8+977nL94ET+Z8c4773Hl6nX6/SXee+99+oNB4+fig5yXVKH9IphoW+vx1oRrbOdUfyFY8LGKV2gO6igZ5JYCYOMoZlO2tjZ57LHHeeGFF7hxfYPRaMQzzzzNlWvX2d3dwznP5sY2zlis8VS14c233wPgwvnzbG3v8eZb79LrL5N1+mR5B51VlKXBuQAk4hpmCALrYTSehLGoM6zzbYLFoo9MBKjiM3ARxIjg/draGnt7ey0DR2sdOsGHMw8Sbu7QWIrPxaMSbM55nBeAavox3DNxpGslEVqGZ02ShGeDsaytrvLlL/8Cv/d7v8cLLzzLhQun2dvbQemgFeycC0C8VOhUk3hJqn2zRrIYG4ERAmhiTLPmCDrCznuMcRhTIZwHLaACpRVZmpIkvgE6BErSSLAKhJJIpQGPqy3g2nE8Z8qIBQAxnGeQ++JQXwuhWknRkHQR5MHSRKJkinXB1N45HVjRbg1TzH3hPi2flgcqH7eoyW3K0YDtIykPWO/htj1gJR+36yBu8/en5f7KJ6XvjgP4JLgG7LApuHTBM6TxComyWP5u4+VeP7unbe4GPHD8+dym3mPb/oDncFtQ5Djg5S5tv325hzo+ajkaEb4lQny7oDQgPFJ6lLKkiaWTVAzSgpVsxkCX5CrIaCkxZ5XfGsNcAEXE7Y/4syyLgfbw18+7RceVOTgS+RSPGr55kMD2YVBk0UdkbrRukVgfABHr5RED9liORycXYY14/tE/Q4povm5JlSRRBqkdJA6vJF6IFhC+LWBwG1D0gcu9Huej1H8U7Fz8WvyM76+HOSgj4CMOY0ntaT4gQPKJBkawCdJnjQSCJ0lSRN5IWwhIMo33gVEipEAliqquyLMURMi2dY1skfBQFWUjyaWQHuqqarIjQQvRZPpO2dzcpixmTYDXoBNFt9NlbXWZTqdLkkiyLEEqRWewxLQswHmSJkgdPSdiQDnPc4SQlFUVsg9Nw4BRQdZEKcl4PAMgSTKsnQcgosl2WRZNgCy8jFdVRVmWZFnWBuyTJA1eK403iDGmlc2qFozIYyBKiLkRufWu9cGIQEKn02E2K0iSlPX19cY/YqsNHkkpqYtZqyUfpTviMYq6aD/XWgVpk4YBorVmMp6EoMyi54QLgSpTN7JYwlObkD3ZHQSPGKUJJq7O4bylNhUeh/fyECMjZrjWdd2yZRaDb4uyXlEOKu4TARDdGL4CbRA0z3MmkwmyyQA1dY0iAGKT6aQ5pgxsnkazHR+DjFEfPRxDeonSEiFky2yx1oJzuFbT36GVbtknke3jvSdJEuCwBEzUTR8MBuEYTWa59741YhdCBEN7JYNkVlNCdnKQW4vB2lhf7NdoZB/9aGL/dDpBWq2qQzaz1oo8z0B4dKLY2Nig1+uFsSOCMXmqUrrdDtZa9g720GmK1w5b1aRCkumUTrdDrYJ/RKeqqW/scPX7L7H31odQlPhpSbk3o9Qa082weU7dydgWgpsH+4xc0KBPLPiyJLGWZZ2w0uuwNuyzNhjg64pUgC8LhgLyfpfN3W18phj0eqR5RpZ1eO4zLzL93vf4wY9/xJe/+lVee/WnvPPqT/nsX/gSe++/zyvf+nP6NZxPMm7+5CecGK4wszWJ1JxIEs6ur1Eg2JpNKLXk5sE+u7MZWzcuk+YdeoMh3U6fUXmAqz1p7hFWkYgUmUoKW6NtQq4Cw0wi0FaytLLOrJwgcHzw3gds3djk+aef47FLF/jrf/1/w+mzF/k//Cf/Cb//+3/Av/kbf43+YJWiLFA6pawq+oMlNjavYYzlc5//Am+/9gr7owng6fQG7O3tMZ5MyPMuSk4xtuLdd97g5Zd/gE4CK+vJpy6wdOYcV/emGC+YGdgbV+jUsDxcZTbep/YGpRxeWNbXB2zu7LC2coJTq2dxVlIWjlTn7O1NMJXi+ec+x49++G3qekJVzbh27RpJmpJ3OqRZysrykDxNsHXFoNdna3uzuUcz0ubeiHOhlIpOpxP8hUzNzs4er772Jj/84Y+4fPkqu3v71LUJARARguKIAJ77RmYHH2R0sixHNd4fUXKnLCu8DPdVBGizPMM3oLOLukeL+kTNfSwikwSajHsOzWHBpyQEV3UjmdT6jsg5m2GxRO+HxfkBfFs/3M6AvZnvCGuOuXH80SVr9JyYn0dsb/QyOVpaWS08YmHFtsjwWwQi6qpC4hksDTh9+gxZlrO9s82NjU36w2U23n6Pl195Fes8V65eJWkkCI21jef1PFPJecCFzP8oMRk8K+YZR/G5OJefmucXxWsiRGDVLS0NqOuKr33ta7z44oucO3uB73znO4ynU558/AleLV6nKEpWVlfY3tlt2TC7u3t88OE1lEpYWVmhtp6nnnqGy5evU7QsTc90MgNvkMjABq1r0kSyt7/PZDZjZXmItXUAANxcBhN8w+icz92xT+Nvay3Ly8vs7e2xsrLSzueyBYKaxIb4ErswXg8BePGYQoAIQELAvIJGsBARbHMoFViQ3rnACM00UsAv/dIv8Y1vfIO//bf/a/7m3/zf0+svUZsCUxcEySrXJCcU4AWZzkjSBOskemFlHBI1Gr8hD87G9sXbrmHB4Kld+FuWFfg5+zNNUpSUJFrjM4HSCqlTBOHejeuCwLAJHkOL7K/FsRwBKiFD/4R111xmzANJIuh2kkYC0DCZlniXc/rkyjH35afl03J/5eeYLHj/5RGDIh+pLx4EFDkaWP0oxz+mvodR1ydqfHycyscxbsodQMYmWOUFrVRWNFCPP775DMVcWus2x7nd6d/zeDoOTLiXAxw3bm8H3Bz629/5+2Pa5Y/b7nZB07uBJof2u4de+rmPryPnI3zwDFEerS15UtNJa4Z5wXI6Y5hM6cqaVBik8MzZJYerOe7/D+VUbwnG+ls/uku5Q2z5oRTf/nPnRty5zXNw5GhlD3PI3BKAvq99b72y4f1LzNkhrXzWUZbI4UnLN5NQBFcOlQbciBBJEMoNPqRaCJywaO2QSQBGhIrvKfMT8/Oqbj3/h9WhzfEe2S29OBSOPZGf8XP+YZ7vMdfq0HeLm9zHAT/RwIj0BoUGV4cMQWmRwlFUJUmagAzghrENC0Cl9Ja6eAemqqirGiUEOIep6mCsnGg8hKCvc9i65uBgH+c9m9tbjPYPGC6vMOz3WV5eZmVllaKYcer0KUwTZKiqAucsQgmqssRUgTUR5Yastayurrdm5gFoECilQYFTwSulaAzPy7Kk0+lQVRXgG9BBMBrtk2U54CnLAJxECYuY9RmD1UDLClgMWkRfiXjenU6nNfaMgfVZXUMTVIum3bPZrAFdOiiVUNc1u7u7LWhSW0Mik9arI0pyaa0xxjCZTKjqGq1TklSDkFy/fgMhgmxVBCGiJr8xhvF43Jq+R6PfEKjyjb+Hp65LyrJqfDICQKa1CtIZzfmDp66r5ljBPD14k4T2eB8yy5XSGFO3+8XgSAzQGWNw3qOUJE8zrAkAXGx/9PdIkuQQkyZ6k3Ty4IdSFEUDGtStCTzQsDaCZJixlro2GBPa1UkzxuNRACK6fUxdY5wly1NUw1xy3lI018k1Ei+dbgC3qjIwaqo63B+9bq/1Iolyac5ZhIAsz4hG7GmaYK1BiAStFVVVNhnDIdvdmAprXbvdYNDHe8doNGI4PMXBwQF1VZJl3UNgTVEUbd9Op1OGwyFCSqxzVKZekCuxJCpBJhpbGbo65WBvi6yXkiUSsTPi+7/zDSavvs+g8JiyxuuUme4wyjP284RpnrNpLdeLEWNnsWVF1zr0aMowT3jx+cdYUYpyd8SJtSH9TpfNGzdQLmTGT6sZ5z/7AvvXFFe3tliuLKcff4Z3PrhMlfR46gtf5h/849/hxa9/iaeeeYJ333yD6uYmT6+uc+Otd8mtZNk69HhEZQw97xCzGaIqWT2xwrW9XU53MybCI5dyvv7VL7FfVnzzWz9g+8pV9pMOKs0pBhUySSlMhdDQX+6ztrLOcGmZ06dOcWLpBJ08w7iaynucUCx1eyincLXlh9//ERvXN/jSVz7Pv//v/zVmxvJf/u3/mt/+7d/mN3/zr/H4Y8+wvz/GOMve7hYbmze5cOEiP3n5JT68do1Br4tKFMXEoTodVJazNx2j0pSbu5v8+Ec/ZFqMWRr2ufDYBZ77zDMMTpxk96XXmFSeU2fP4oSkFjCuZ/SW+kzHeyz1c2TtOH1ynU5niatX96imNdNig+VBH2sdw8EQbIEXCRcvPc4bb/wUIRVbW1tknZx+f4k077C3u0u6uoISgsl0ysryMjdu3iBNU7rdXsuKy5OsZY299dY7/Mmf/ClXrl7hYDylqipG43GY21IdZIq0QjI33xZCIpHNfZs2Rs7B9yDK7dR1jVRybgTdeFEAGFEHK/UYpXX+0IO+XdcszN2xWE8AbFyU9GqC0T4ayGuqKngj+KjzFTnMR+rlmAV1fBa0z10hEdK1QW3vG+miRurv6PZzma4A8Ib2NyJCRwLy87MVLVAkhECywGxoGDPGBNbKidOnee6FF9Bacf3GBnmesLt/wM2NTb73wx+xs7sXJNVqQ5blVMaglEY2YX3fgMNRQjBITpqGUSFBBt8X6cFaj1IBFIgaU1IFhpGzFpkmgQXUCYy74XDIiy+8wHQ8odvr8NWvfpXvfu97TGcFLz7/PN/9/g/I8y4g2NraauZQw9b2NidPnUBnKSoNz9Bnn3+el156CaUkdR38wPJU4nWQdByILlIptnd2uLlxk7NnToVnjwmm9t4HED48Gzwwl7aaXx/ac8/zvH0mtEkDwYmnYbHSMiGinxc0gJmfv5qFjC0ZzNkPjSPfSlZJIYOlh59LUwUJVM/5ixf4tV//df6ff+tv8ZWvfJV/99/9t7m5eR2lcrwzOF+HV6QmUGOdIeh7iXaMQvCQ6aZdZANCuCYJpTYGU1msMODBCPDOY6xr+mi+f6kMUoRklTTNSFONVilKC7QMvj2iGf+mWUcJEYBKpTX4xhuoedZFXzLZSIMqGSXPPForQJLoFOcEs6RCK0miBFXZveUe/bR8Wu65HD/Nf3zLzzoQeF/H+2igyEO5DI+6f37ugdhPy0ctdwwOCQ4ZptsMbB5+Oz3/PsYmH2pg8Ji2LLT4Dt8fX44FLB64Dcd/douR722j+P723x3bvtsAKD/LctfjLoBI0VNEeoRySOVJU0M/q1jKC5azKSvplKEuSBpfEaBJevLcbfb712Xaicviu+Ii94TmLIIjodZH0Y/+I9V8+AEY65pLaEE0XI9eI7ccf+EV9tj8veYwAg9eRBECpADtPV5atLJIbRGJw+uQRHjbDj4OYPioHbtY36Ncj92u/p/XOlAcg1XerdwJhfdH/v8RyycbGJEGncQbxOF8BR6yXIPwWGuQytPr5EipqGvD3s4OQigSGdgeQqoQHCAEkJIkwVvH9s42o9GIoigYTcYtO+OxS5e49NhjrZk5zUvyZDalmM1QWpOmmqo2eOOo7ZSyDgGc4XBIXddkWUaapsxmszZwHgGDsiwbmaycXq/Xbr++vs7GxkYTpBCt6beUgk4nb5kOQWrLteBIMG23RDN05+bMB+893W43AB3FDOdDpmwM6Gut54HDLG1BGu89q6urKKU4ODigqgz7+/tIKVsAJ2lkvOL5RXAjmrw7C/3+ElprZrMZdV3T7faa6yrac0jTtDULjzJMc+NS17Ic4nlHmS7vQ/ZlXVcBGHBzpkddBzZNAI6CX8shPXQZfTxCYCPLMgQ0hsm+BTjyPG+8XkJdzoas6RjAi7JV/X4/eKM0ZutSSmwd+jfLMqqqaqWpAntGt+BUWVZIGQAYL6DT6TKdTlGdLnneCTJaTVBLqZiNaltmTrcXAAhXO5x0CBeCU8PlYQBIqopEB4msLMuYTqdtsCbvBJmwKKEWrlGH4XApyJMlirqs6HYDwBP7uiyLho1iGrBJ0+v12NvbxVrbMpiqxtun3+/jvaff7weWipRBXq65/lG+yzlHJhOcg07WAespZwWdNKcrEtZ0yp/88z9g8+V3OO1SlLEkvSW2hWCvP+TDqmSqFPuzKftlic8z3GSGPxiTC8nnz5/n1EofaQtyY3FuQjXT5GtDllaHXPvwCnkn5+poF7+zwWf/8l/kB3/v71NducaXvvo1ph9cZXNvwulzZ3j2hef4wXe/y9ef+yyjq1fZeec9nj53AatTMueCTrxzzMYH4ZorxXgy5tz6Ra5PNtgfHXDhuWdZ8nDj2nv8hV/6S9y4do3pzJImPd6/eo133ngNp4LPivE1FTXGgtIpWafL+XMXePLJJ/j8517kiUsX6cs+yjl86tFSk6qS99+/zLUbGywNhzz99NP8x//x3+Rv/Mf/R/7FP/9jVv7dVbKsy+7OLteuXeWpZ57k29/+c15/63VOnz6JMSU7e7t44RBZQuHqMB56PTrdDmfOn+XDD9+jO+iS5porVz/gsV6HMyfXePnVy8h0mYPpPsPVZSyW0pR0uh2mkzFL/W4AmQtY6g3Y2dxAOMPF8yfwJqGqZnTzjKI0rKydoj+4zHSyR21qNjc2OXvmHDs7Owz7PVaXBgwGA6bTKVLK4JkyGlGWJXmWs7q6Rn9pyHvvvsfv/eNv8L3vfJeymXcRMJlOg8QcHpwjSSRSaxSunYPEwtNYKcV0Om3l9GprWom66E8U527wraeSFBIXU1yOY1MceeK38lORQdGwULSUSCGwJtx/adqwxhqWRthcINqsraOgRHO8hcz/OVuDlu0RAuOxDbFO2oXuYh2LbY5nc5QVc/TcYnvC893P2Rt+LjXY7/d58cXPAIIPP7jM+fPn+eN/8cdMDkbc2NxiPJmS5znT6ZTBYNA8v0K7HLTBad2we0KiwPwZQLNNPPkWRGja3wI7CJLG5yysNUKiwLPPPos1tmHzFaysrPD1r32dP/uzbyKk4gtf/CLf+c53WFtbZjodUZXhOba3t8cHH35IfxDmxCRNOX36NOvr6+zu7pCnCen6GoIaY2smkwPyXJNnCd7VbG5tMh6N0InE1RVSBqDBR7BJHrd6nF9TCObm8RkX1y7OhPEW2Ei0z7rIomkN3hfAuciwCuNDtNc3rlFUIxGpFpg40cx8WpRMDvb5wuc/z+nTp/n7f/+/5YknnuSFF55jd2+T4JjoUNoHv6AG7IjP6Di2I4tYyobZqSQCgU8c2mhqXeONpraOWVViJS2TM94hzrog6ykERgjqsmay4CPWzZN2DSkW7slFj69WBi5KjVZBus9ai1ICrVSQCXUOKXXjEeTAC6TMAignYP/gX5eQwaflYRcfX0o/6UNIHPeUfBj1fsSOedB2PYzr8Sj65JM+Tj5O5VGN2ftsQywe5v4gCmwyl81yjYSWl/5wuxfHw9F75V4zkI8DEO552+O3ebB+PQaIOPLbH7fNsX/7Wz+/4353SJt+kHvuTvvca+fcCdhpvheR8SE9SnqkciSNwXonregmNf20YJCU9JOSni7JZJD4FcI3rhE/23L0ler+p/iHf9cebdPCm9cd23DoFeq2tc9BkY/qO3LcmR8GRe69xsVz9szr8ciWJdL+Xqg/vAMeZYU0a/v7PCOxMA6VsGht0YnFagVKteDvYqOPn/vu67C3a8z8GI/ypvC3GfP3jU48pHKvz4nFcicQ5+i90M7d8//fz7E+0cBI7WqMN3jnEUikCC+SdW1wAqxTOCcwPug2T6cz8B6lPEY4nDFIDYnWJFoz2t/nvevvMplMWiZFr9/jzJkzLC8vobOUlZWVEAw3gbXQ6XZRqaaqa7r9fjCl9paiKjDO0R8ssZbn7O/vN7JVXWazRic/m2cpRw+LKLMSQZMYxCuK4GEQszlBkqZ5K1VU13Xj8ZA1oIBs2R91XVPXNVEf/uDggKIoOHHixNx/xNkwSTVAQ/SGiNJVzllGo1EAjrxnPB43fiCuMYhuggFSsLK2GozKG3Ak+nKUdcXG1mYINAmBMRaQlGWNc4Z+v98yKmJwigZoiGyCGEyfBz7mUlh5njMYDKjrmslksiBXEeRyqjq0pdfvohPFaDQizRLW1lc5ODhoWRtJmqJ0CFzkacbOxlYLZllTsz86QGvN6uoqg7zP3t4etpEq6eQdlFaUVQBL8jzIUEWZrRAAUQ2jhbaPY1ZuHA/ee1KlEZ6gZ94EU7yxpCr0a1mWDHr9NtDiG0aFXchUTZKEg4MDnHMtABHHlnMuAE+1YXNzC2vDNYj9G8Gs0Hbodju4xm8lAEGuZe/E6xbHwe7uLkALsA0GgzbD21qLdaYFgWazWZDmagLH/X6fLMsYj8ccHBy0IJTzBqTCes9oOiFLM0SiSXzGQKaM373O5e++xpJN8WimWcJBptjIM94zFcVyj6mpmZZlYIeVFatlxS888wIXlwa4vT3s/gFCGtJeTpGnmOU+373+HmcvXOBg0oHugCdffIrv/vjHnPvCF3j685/nrTffZn8248TJU7z/+js8sX6ax3orvPyT7+HPXWJZa/xoxt4HV0mtA2dAC4x3kCV0V1fZ3t5mlMK4l3H+K1/kzT/7E77wzOP0reOd73yPndEOTz91iR/98CecO3+av/Zv/c/5rd/57/npG28yq6ckUpABPs2oURhree2tN3n19df5oz/6Az73wnN8/ctf5jPPPs/Zk6copiXOSU6ePsvW1gZvvvUW71+5TN7t8rWv/ALf+vb3+PM/+5d86Yu/wA+//yN++S/9Jb7/gx/w0ksvce7SWSazMWVdgAwGwqaukUi00pRlYMydPn2KXifjL/0bv8RkesD+aI9XXn4ZSxczqxhkikpa6nLCieWTaCnwZUVvsIwUhtoYtIbazHj6mYsk2pBlFls5siQnUbC7u8Opk8s88dQzvP7aT1DWMJuVfPDBh5ytHWdOrHPjxg3EqZMsLy8znU7pdvpsFTucPXmapaUlvv/9H/JH//Sf8fJPXmYynZElKf1+P7CXZlP2D/aRSpGkCUUxwwtHJw3zoGgy20NAPNyDxnnqaHrdsAziPRrvgfA7BKpVlGU6hsVxrM5pmKjxsgnaN3OLlIF6jFRIpaiNCefb7baB67lUYBMA94ez+H1cuR5hckRAx0Unbh99S+YgfPR7iCv3RQC7OSOCx8QimBKPe3ifxTWQkjLwFLwD5/DI1qtqdXUVKSU/feVVTpxY50c/fonNrS3qqiYzNdZ6EAqVZIwms+CBZC2OeHgBzaLcWodxkWWToryHBfmxGLiO87gUcwBFNSBumGeHYR63ni9+4UttvwsvKIoAGj/+xBO8/PJPOXX2LM888wwfvPsuJ9fW2NnZRWAxNuG9996l3+9x8uRJLmYZJ0+e5LHHLrK/v0Onk1FXJd5rrDPtM6Q2NUoqtre2GY9HLA0H7fNAQpAPIzAbwkuTb397HwCfkO8hKMuSfr/L7u4+g8EgXCcRh3UAqOI1CwkLEQOZj5kWGGulxyBKZ4U2BxaeFALXyEi1MmXCo7WkrguefvpJvvjFL/FP/9k/5x/99u9x/vxF8rzPdLqPVglKucZzzDR+IKoFv0IQODKZLKYBTrRSyIbJIkSCTKCDILcpxob+dMZhnMUZi2lYUXjZgGohWcE23jKmKtpneEx66HQ67TNeqaS9j8KYEEgZvEmsdVgbQEdnHd5YvHGINAXvsYSEB6U8/X7C2mr/mInh0/JpuccSXxTvEJv72JajL70Ptd6P3hv33a6HdAEeSWDlEzc4Psbl5wmKHMUvFtde0Vw9BZM3YEhjrn6sofrdjnPXtPd7bvW9laP13WP9xzbzXkGNewAQ7lz3zxAUid/f83U5CvCEtgoJCNckmDSAiJ57iQzTgmFW0NcFXVXTVRWpMiSNp0gMSItbDnr7hkUS+71gPsdvE+ufywPfU/c+woCxX/jjuPS32xdxCKRb7Lk7AyS+BRXkYZjvnsthIORo/Ye3u1tFzVtDC4y4ReCj/S3m3921DXdr+a37SOGQSJTyqMShE9v4jDh8fP8IVrb3du983IuYA2rHAQht+Vmd54P26R0u/1HWkI/bi4W/77F8ooERpEQlCbY2TZA2yilVQf+6leEpGzkDSb+bMxlPqExJmiTs7+xwcHCAEpL9/T3G4zEXLlyg1+sxWFqiN+ixdmKtZXjEwHyapVR1YDIYAC2xAupG1ikf9BqJpQ7OOpaXV5jNZoBjZWWFJEkoy5LZbNbKJ6Vp2vpIaJ0gZQAP+v0BOzs7DAZ9VlZWmE5n9Ho9ZrNpK/EUgy/Oueb8w81dlmXLiAgG1yEYHQP24/E4MEuqCqVVm80cgxt1XSPgUBZk9CgJMlayYbtYptMx3X5v4ZgSJVUj5eShqvAEkGNze4uD/TFKJXQ7HQZLfQ5GI7qdDtHfYjDoU5ZFG0yMkmJpoxMvZLimAYApKIoCqYPER5Tv0lq3klODwYCiKIKZd5Zx4sQJpJTs7Oy0fR8ZO5HFobVmZWWlBV6UVqT5nKESmTvRV2Q8HqGScFsNh0OqqmI8HpPn+SH2i5W2bUcMqEUgIkprBMDHItxcGm1vb58k0W3AKctyjKkDkCcCA2g6nRK9UWLGajRWj3JgBwcHbRt9JqgrA7h2u+iFAzRBnjmAE31LImBBMz4iaLa0tMTmxiZZngWgqqqpyrIFFes6ZCJ756gaUCuCgGVZsr+/33g9yFbWS0qJ84JxNUVLhSks0guU0Jiiprs04E//8E8odyasD1YZmZpxV3NZ1GwoyyjvMq4KqukUZS1dZzmpM54+eYYLWQe5N6aYThFYfCpZP32Wi+dO82fvvkV27gx2acD5z3yGbppz5sxZXnv/Mq+/8SaPP/kkr772Gtcvf8DzTzzNK+9d5nt//Ef4YsLjSZ8br79N13is9ZT7+ywNlxg1Mm4GqExN2k1ZO/UUG2+9xSvXrvOVv/TLZGsneeXd9/nsF77A+ulTvPXG63z9F77CB6/8lK13Xmd6apW/+NzjPLGUcWNrmzff+5DdcY3LEybWk/Y74ASqq5He86Mf/pjXX3qZC2fO8Qu/8Av84i/+MufOXaCaTbnQ65L1OgxWlvnGH3yD1dU1nnrqcT744F1GoxG//mu/wZ9/60955dVXOXnmBLWtmU4nJDoEWMsiaPuXdYnykqmHotPj5No6j734IpnUTIxntLOPKz2rJ05gTUVZS5Y7fVJg88plLpw+z2hvwmB1GSeg00mZ1gWD5RwrpiTCADYAmzKjLGacOHWSvb1tBksdVtdPcPN6iXOejY0NlpaW2dvZp5cHFlsERtI05cT6Cf70T/+M1157gx//+CfsH4zIspxebwkpJPsHY7qdLtZ6tE6C5Jwz6FQhpcKY4D3grEN4GbwGhKSqa4q6bGVzqrrGNv4l4NtAujOmedkQLdjgoAUdgHYRGRkSi58BgQEgwstGk8rVzl0iTanrmlnDvNKNv1UENyLzI+i5zoGJdtkq4j8cAlWcm+ftRJDFL7R3cXVyyFvBB4AinoYQommyOLRtu+8RNslcETiYrhtj0EohgNdee42qqtja2uKD994hyfOGlRbmVFdW6ERT13UrLRlZcfHFyzmHdbZl73gfjhOuWyhyob3OuUOsi9jHqY5BcMXycMiZ02eaZ3JNt9vHN3Pls888w5UrV9nd2eXFF1/gYHeH3d1dTpxY4/qNG+3z4r333qPT6XDt2jX6gz5nz57mnXe6vPPOO8xmU9bXV4OXhVJIKbDO4H3wGRlPJqyuDkEphHDQgHBCEEXEDi1O23728XyCvJP3nv39PXq9fnuukTETEKYoiehaJsjiuJEyiJZ5AvMB0bBMpG/uidC3ztkAZDUsEyEESZoxnpUM01V+/dd/nX/5J9/ixy+9zH/z3/xD/mf/4X+AVinelRhvQyZiI1uFmDON5swe0YzXufm8i6wv55trrMmTBK89rnmeQQByqtoGFpbzDUPS4KwNgJoBmuPH844AiVKqBUjiczyun5IkyHW284Kb31Ot9KpzzX0uSLQM4Ja0fFo+LQ9Umrk3TqnhGbP4Pff+0vrzDPa2bXjIEayHdU7306yHCfY8gsDzz/0a/6tWfh6A08IYaxMcVABCWoP1+CObLcVCW48Noh0zMh703O6y3z0Ft+4euw113SOIcQsodAQsuONxjgINd9zmDuVe+zNud4es6juXhcipCP8PyybfAiFKOVJlSbUhVYZcG/KkpptU9HVFPynpqIpMWlJpFgCRebV3n67nwXzwc5+IWyK69+oTstgx4sjvw911u7r8oe0/4s3rD/26w1GPKwvtiEPwnvozHNFxf0eL5b7YIbcZf/M3TNH+dgvskOAxIgMTnSOMkfnomVf4gMF1sQASSBHYTmli8dphlMerpnVuLr9117npSLMOnfA9Neo+tn2QsnAOt50e7nKeR/f7SE1+2MDj0foWhsr9giLwCQdGhFIolWCq8EIpvEArjRMO05hsaqkQWlKbiqqsuLq5ibfBxyDKV/V6PdbX13nssUtUdcXps2coipK8k1PWJbNiRlGVdDo5s1mQRNF40sY0XYhwA0kZ8FgvQjZhVVdIkSC8aLwyHGkaAs7R3BWil8RcSquuDUolWBskWgSOTt6jri3j8aQN5kOUavBNgDxkIUdZkLquGzAmAAUhaCEPZenHoHOapiRp0u4TmQvRELYoinbbCJIopVuzUSEEy8srOO+ZjKctyBAMXhumgA8BI+/COQ+Hqw0Qk7TBdlNXFEWBtZbJZELSgAxKKZaXl4OBu61DYMsLLIQgCMGEvTaxbQqpBFIJsjzDmMAiGQwGLUNnUXorSZLWiDYCTO13aZACc95hSkOSpHg5Z+lEgCDKZ3k8ugmqTCaTQ+BBZNFEibMYiIvASAhAgtbh2J2OxhFAjqoyLC0NGY/HSAm93oDRaNxIukmECAG4KB3TGjw3mat7e3tt0KXb7bb9EMawIs87GGvaIF8MYMUgTZTUShKNtQbf+CpIIanLwBCyzjGbTMnSlDzN8NbRbyThnAmZt0ooGq9apJR0uz2m00mI03lPJ++QplnT/rk/T2ErdC9FOQETQ4pgOhpxZuUEH7z+Nq++9Aone0P2neOgm3EjF7xeTnBpRjWdwbRgYCyZtzx3/jxPr6xhNrbRe3vgHZlOsCphZGp++v4VlrOUM8+9QNLtUB1M2dva5r33LrOyss6XPv8F/vif/zHPPfE4n3nyEhsfXsGvDDm/krP94RXOyg6p7LC/vU/eyVBCYnWCkYLO+hobu9tonWEzzZs7G3zmma9Q7GyweWWLSzdGfOkLv8Q//+a/5PEnn+PC2Qu8dOW72IN9Pn/pAlfffJuNH36fcydO4CcHnO13efKFz/L2xh6vX7mGKSpKOybNMmxtEQrWV1ZRxrG5ucXv/t4/4dvf/SFf/fov8su/+DW8qUBInn7mGW5u3uQP/uAPUUqjtaSTpXz/B9/lhz/8AU8+/RRlXVHaik6eobxhd28Xj+P8uQvcuHEDV1qSRCAt1LOS3Zs7UFUMhl2W8h7eeYb9dbSSXL2+hVaKpSRlVsw4uLFJN+sircdLjzElpZ0xPNmnKqbYesLm5ibOCLxVnDt7ASsl49mU2k5YW19nPNnH7e1SVZaNmxv0u336vQ4nT6yzvn6CXq/Pb/2jf8QPfvQj3njzTUbjaTMnpgipmZUBDMzyDrOyYjyZIKQPPjveYlwFIph348FbUI0uqXceU8dgZshKd96FRZMPmfFAyI5vUjhE/LyVG2qC7/GdNKbVLIIjgDuyELPOIl2QDnINa0wIQdlKeB33YhF/IhgS/i+Ex4uQnXSrV4gEH7PGRGOz4RvWJocOcogF0tQt5VxmSag5K/Do9ovHjQzD6A2htMRZBz4A1PsNq2xnZ4e00yPvZMyKAuscWqVY56CRFpzNZq0cY2CtyIZdU98ivxTb7FsJMoVvVsBKqRYokVI2gMP8WaG15syZs62MYmCy1s3zsObg4IDBYImD8Zgb16/z7HNP8/KPf0JZV+R5ynQyIc0y9vd3uXr1CmfOnOLDD97n0qVLXLp4kRvXrzEc9hkOhxSzGTeuXUVKSBNFlmic9+zs7HD27CmUVuAJYFy7go9+M3Mmx3zpu8D0wNPt5oxGI3q9HlIqpFAI1YwT5xcYj82rqpvLSQZgRCEkWGyY85u34/DL45zB+fjCEsaRFIEBVVcFaZJysL/PV778FZ579jnefuddXnnlVV764U/43OefC2s/4UKbJI3ZvMNZ3wBAIiRRSBledJr1QThlh/dRAjPiPGEMSAGyeYZ670lTh3cO5z3GuJbhW9c1dQQ1mnEcn61RUi8C/Uqp1qcty7JmLDpkMyaddXgXpAWcd9S1DddJigYA9QvX6dPyaXnQ0rzxxyCNOPLu+CAvrT+PYG87Vz+8Gh8qOHEf7Tp03EcAbnws6/q0PPpyTDA+eom4pPERyYOMllc0XiJHAv+3Aw8e1qPoLsd6oHvjNtvdKygSwYHjP79NHbfUdwyAcrfjftTyQPUsJEY1rwVC+obR6gMgkhhSbeklJf2kopeUdHVNR1dk0pBKQyotWjiUcMFDLnqQ3MO65XBscw5gzP89ur245a/7K4u1HqnjWBDmbgPn3kvslQcrC+9YtwWObr/vg9+ydz7AYn7c7bb1C9+3oIgPzBB7BCiZ/yzWe6Syj1AEoKQnVZZMG5w2OJXgpIcFUORuMfyjTM12+4c5P37UcscTaH4dXQPeusktnz3wVPOw5rr5K+uxHx/67j6O+YkGRqaTgl4e/CKc9eRZhpCCoipw3rG7s4P3jiTRjCdjjLWYWcna2iora6ssLS3R7XVZGiyF4JGSWGuYliW1qdnbOEBIQbfXRTUZ61Jpur0cIWXr1yGkDACEJ2QVJxopAkgjENRVRZqmDPp9Jk3AOr6cxwCCteGFO00zpFKUs5Is6+DxzGZVI4tlmoxQ38hc9BEi+FCopu3O+zZwDYL+YNDKaSWJagMzQOv3oBp/g7pyIYgBrVxIqy0P7ct7NNCN8i0hyBACcWmTCTmbzdrge1VVwXslyVp2wNraGpPJNExOKniBeBcyMrMsbUGDRVYChIBHXdV47xrjeVqmRb/fBxHkSnQSHOPKogyZvMncVyXRGq00s9m09XCJ7Iqg6R3AnghWHYxHgCCTOUVZYhqQRAjZSFc5dvf2SNMEIcNEb4xBSUWnk9MfDJjNZjhnW2+BJA0m6LNy1gTZJCIGDW2YjW0jWyVaCZzQl71ej2hSnugAwITxScu2WV5epixLJpMJSin29/fbc5pOp6ysrLT95n3QnA/ZtZ5er0ttquYaB4YR3iGFJM1SZtMpnU6OqU0rlRWvV5IkTCYTOp0OQAu0xe+sDUyZjurgvSDLAqPK2hAESnSKQCJ80HD3eIZLyyGwW4yprEEhWVoeYmYVS92McnLAH//hH5B4ATplJAVXXcUNI5klHYppQVYUDEvD04MVzg6H9JXGb24g6xKLQHdy8uESV7e3YdClu7ZMpTQ9FNOdEbkVDAdLXLl+hesb13jm3EVOdjpcf+VVnjtzFvPeFQ7ev8yw10OlXeSkxguPkiBQiEwynU7wWvH4517kO7//ezz3zAs8/tSTfP/1n/Le1iYXn3uWm9e3efnlH/NXf+M3OdVd4oMf/pQTSwOGE8Pmy29yZnnIQW3pUTO6fJVuophVU/Kkx2cvnWFldYmb04I3b25yZXcPlXcQXmCswXqQiSbTGVs7+/zO7/4+3/vOD3C2Is1Tfu3XfpXLV28ymlZcuHCSk2fOsLW5xRvvvMYzzz1JURZUVYmSAluVzKZjFJ7NzS0unTvH8888w4++/xMKmTCZFfS6PSpTsb27yfkLzyIZUF7boxjv0uuu89TjZ5mVJWVVkaocJRMmkwKpJFlPoXVGojSzYsxob4/6YIzGsba6Sq8z5N1336U7WGZ1dZWd7Q9ZXV/h5HqHyd4NvHfs7h+wub3P6vI+q2sTXn/zHb79ne/wd/+bv0dZBVAz6/SZzYqwOKsNQgoSrSirWQB0ZQA5RLzfTRinMWNeCo2SSZj7rW8YCGEuDmbkopHPIUZ+EVIiZZDGCQF+j5CLIeoQ4KXJyGsXnJGB0TAVfBNgbtcZDWCBCH4iQkpqY7DeYWww2nbezzMoGgAGfAtYQJhD3AKDJNYvRTimb9INBQJ8I93nfbsYbIGd2JiFeoI2cRMUl9Ecm/a4kekomvOdM2XC/kHCKviDpVnKbDZla3OTJMtACGpjkZXBWkjTPIAiTda9MbZdqyqlcNYiZCMJ1jwvZdMeIYJPyyFZMEEIvIsmaC5C+2UDEoVkhLIFyU+dOkWW5YGBp1OsdS1APZlMeeGF5zh5Yp0f/fhHZP0hFy5e4I0332R5eZmqDvPkcLjM5sYW165d4/z5CxwcHHD+/Dn2D55lb2+PXrdLmedsbWxQ1zZIQFnPbFZyc2uHJ2Ylg27ePDttO8c7H/p/MTgq2rEn5kCc93Q7HcbjccOaTBdAD4ETgTUV5DsVUniEb/ghzuEsKK1QQodXHO+aeyT2bXj5kaIxLm8MEFwYrOA8Ujgm0326/S6/8Vd/lZ/+Z6+wu7fHN//8W5w7d5rVlZxEe6ytsc6iVYpr5OsEAucb0EIFkAbZnimeAMIgQDfjTwgVxpv3AfyS4WYLtvPhxkyThCzPqIzBVBV1wyCtTGBAehcgmQYFwpi6uacEs4aROU9cCOuTsC6UzZ0V/OuMcygd5OfqusZ5i040ve6nUlqflgcrrccIIk604fOPXPPPNmLetvdRHfaj1ruw/3317SMCMR4q4PNpefjlo/btbVJ6D2XMxjWcbvxEssgY8XhNyyS55zY95PFwVzm4h3hP3vL3LcE1f+t3i9S64+o6Vvv21rofTblNlPBe92t2E9I3oIhHa0uiLVli6CQVnaSmn5TBP0RX5KomlzWJtCgcwbuhCWnfYzMWW30rODLf4nayWsf1+L33wL1Grx8GEBL+eNix8thnfqHzjm/twzuHu25zxzKHySIoEgCR4D6zKJ8V67yXeh+kX1vGiLbU2lEmDqdBumbdb7lliPjb9fHCdo98bXKPpT38nTpn4Ta7Yx8unsvR87zPRt1umnyQum7bCMEhxt/9HPITDYwIL7DGBjkDZxlPK5y1VHVNliaoJGQC93pdltdWgrlzUbI0XCLRCdPZDK0VUxOYDcKEYJcXgk6vS9rJqeu61WuXUqJ0gk7SFlwAoJHd0BHwEEGyREmFrQwSETSqmyD0oiFnkN0Il8E6h7EW0bAoQkah5ODgoGEeZO1+QSqqauQaFMYEsMBaR5ImSKWZNayEPM/RSTi36DcSJKbG9Pv9kO0ZMzgJwYCoSx4zjyPbIWRCVnjnSJK01c8OhqbqEJhSFEVzoeZPs+hzMh6PkYiQbe0skpDdqbWirgOQFAzXg49KURStB4k1ClBIIVpplHEjEVOVdZO9qqiqss3WtLZCSYGf+lbKQjVa/HknbxkRMRA3GAygCRBGbwCHp9vrUlYVdRHaqJOEvBPkp4y1FGXZerRkeYZONFVVkmUpk8kkmL5KgXEhCCuRVHXIUldK4YwjzzooKfFNcMdF/xHVMDJmsyaAEwLeSilUkuDquQyYUqr1B4nXI8/z1sQ+MnqMMRhng8yXB+sMSarJddYapDtn8Y0sDUmCVhqtEgSSWTVtr38cW3GMAq28VhxLQYKkJvN5kDpxAIJEp0HCDcBDXYX7S0ioyhLvPb2si5+OuHH1Ck9cuEiqFUudLn/2h3/Mh+++y4WlVfaNY1dKdhBMnEc5STqrOKEFnz1/lkuygy5K6smIfKmPWhpyZeM6nSzjxOllptUBZ564RPfkOlsHI3KlGe9u0s07dPo5p86d4t3338bu7bGSJkyv3MCrLmukyIOCemJIDRghEHmKrSsqIVg7f5bxzRtcn445mWnOffGzvL+xzaWVAWcfe4zX33mLM6fOcObUGjuXb3DtzTf48pNP8tK3v8Mk73LGJujtMVXp6ThNR2UU9Qzd66CEROKYjLZQDs6eXOarf+WX+a1v/CHvX72G90FysKhrkrSD9RKhEhKpuH5zC9kESv/O3/vvUGmYm/bGU/bGB2xt32R5bYnaziiLabguDsrZGC09p0+eAGe5ee0aLzz3Iu8sf8h4NKO0jlFZYJCc7PfIe5rt7RHFdJulzpArH75G0hmwtHKS2lSsrZ9k2F/m7bfeZGN7mxN6hW5XUYynjGdjbO2oS+h0M/IkYXxwwNrqGhefeo4Pr7xLYafk3RXOnhly7bLHGJjWcHNzl5XlA5J3L/N7/+QPeP2tNzA+ZLxX1oIzGC8Q3qGlRGtBbSuquqSqGhaBCvOAqWu8E0iRtKC2khqlEpwL49sLgTV1CPovgMshFhz8DFqGSPPswHuEC/JGMeAcgrZNBvrC3BmBh/Zlosnqlw2TI2TPhyA4AowL3gjGWqz3WOewC14hvgFG4nEXjdZlw4Rs5bKaG1YKgXfNPe4BFyn34F0AkESgDxDhnsC6cM0sL1t2wCG5LeZ+JC1jpHkuIRZZDA1jR3j29vdDE5pM/iBBGFazEdhaTDwIrE6BsS5IlPnAWAgAfWNa35iUe0TLtAk+GbTeHNa6wFgVQcIqzG8G3UlZXh6SphmXLj0WssyECnNcmrK9s4NzjtOnT+Gc5fHHL7K9s8nb77zNyVOn2Nvf59r1G3R7fYqioqor8rzD++9fRqkEpSRra6usra7z8k9eZmV5mUG/z/LyCnVdUlUGITVFZdje2WNWlCwvDfDWtexSQegP70CIKCtF07/hultrSdOsnc+1UhSzacsyDb4szMerBO+ClKkQoI5cX3wT8G/HspuPfxHAEeGbsULQGHZeoKUOAJav2N65yle+9jkuXDrDwe6MN958iz/7s2/x7/97v0FVzVDS4YwFKbGmbtolGijDhjvKB2YxLoAvQUbLhHtQCYIHDg0IFkAVbx3Wg3c+jA08iQo+I0J4kiwhzVKEgLoOPi+BIWzn0pmNXJdpTOVra9q+SaeylU9NkrRl0CZJ2t5fYTwGOow1ftH65tPyabn/shhzutcI1sex/KsGitylrgctH4c2fFoecTnmGi2CIr7xC2nls/IGGNENKCJvX88jL/dyzHtt10O5Xw6DBeHvI6DI0eM8aLTvI7fXH6njXgGSxfOZn69oZLO0dnTSmk5a00tKBmnBIC3pyLoBRAxaWBLpUDikmAMjty3HNmnunXG7Fke2hvD+mMz2+bvScZflY1MOBZ4fVitFU3XTf4eRpYdf7grs3P7gt4IdogFFZCOh1Sgp3McJLLJKbuUN3b0zpPBoGcARpR1Ce7z2eBsSlMWR/R+pQfojKG0P3Av+dwzwccvni599hEWFb/Z/KN15m0rmCaBHkgPuoci7b/LxLQIYj0aUVRmYHtMJQgpWV1foDwacPXeWS49d4szZs6yurtLr9egvDUJg2xqi/nRtDMZadJoE2QkBVSN7oXUALWKAvdvtArQgR9QPjy+5VVlSzGb4xtyz1+u1DI+4ffSniKyRKKkVvTOCFEdCVYUX7CzLEEIwm82YTqetV0TUSu90OggRjX2D7FI83mAwYHl5OQTFXZBq6nQ6dDqdVl5rMTi1GKCKEkxRBqJo9OoHgwFZlrfyT77J5o3SEjGAFYMCsX+m02lryu6cQ2oFMmQ317YJYklJkqbh4acklampTQ0yTH5JmpBmGUgRTFG9o6jKtu+icXc5K8gbuYpoZt5KbEnZylnNZlOsta3sRZqmrWn9eDxGNhJe3ntmxQx75LoZY9jf32/BkOhVEpk5QRqtZjQa4b1vZcJiP0e2RafTCdepk6OVoiwLxuMRaaoRAqqqBBxC+hYE874xgxWeqirbMZEkCfv7+0gp6fV6rQ9NvL5pmrayWIGRE2SCvA0AyNbWJuPxuD3P6XTKbDZrx0OsK8/y9v9Rjm3R2yb2e+yryWQCeHr9bgigSUtVTzG2IEklxpQU5ZTalqhEoJKgQ29chfOGcjomqWqUcYxHYxKVs3/jgG//0Z+z1F9nO0u5lituJo6psJjJGLm5xYu9Vf7C6cc4nXShrENQMEnYqKb0Hj9H/uRF3ivHjPsZS889TrnSZaeckve6bG5vsV+M2ZodcDAbsTToMTMlV7euowSI2rBz80YwanaGejZjeWWFPVcxSmCqBVcP9pgkkuUnLvLB/javvf0mL7z4ItsHu1y9doULJ0/T9wqzvcuLFy5wMk24+cbrJNMpl9bWyI0lsw7lPPsHI/L+gHFdU2mNXB6i11YZCUu2vsITLz7HxsEOIhH82q/+Ck9fOk9PC1w5RSrH1EyYUVD4AotBJwqUoKyCZODe/j5lVTGdjNnd2WbQ6yOE5+Bgr2E4GMpGhm/95MkwF4nghXT5ww956sknqeqag9GY8XTGxcefYLi6xv5ozIXHHmNlbRXrKl544Sl6vQTvCl54/imU9lhf8PwLT3Pq9CrdboqW0O2kJAqWBhlSGdZPLnP23GmsrfGynfyJAAEAAElEQVS+5ulnHqPXV+zv3aSYHbA0GHDu9EWwmk7eZzyecuP6Df70z/6MH73040YCx1IbR20dpgGjXQM6OO+wtcEaQ1VVLbBh6rqVZ5SyMedWMa/Aty8WkZUVWCJ+IeAsFubYhcA/hIDxwlM7PidCELcxzY7AQHOPx4i9EAFcDebkcT+3AEYefj7Nf3PLQmERFGnbtgBILDI6Dj+Fm7NYOM87l8OyYIvMkBhQjseObXLOBrAHoAm+h+eLaYgvfmFbg3EmsKSa+iJ4q5QC57G1OXS+ce4MLDlQ4vA1aWWhWiBANAuuRdko0TAtDWfPnuX8hQvNczTFmJqbN29SFAUrK8tt4F1IePa5p1leXmYyGXPu3DnyLCPVGu9FYw6umc0KNjY2GI8nXLt2jYsXL3L27Fn2dnfZ29sjSRK63V4AwBoQaG93j53tHWwDjkWACAJLYvEaHJJpa/ok9pkQomV/1lXZAAeOugEfpFTzpBCl0KkO91KgSQUgzR9eRS+O8fiz6LERX52ssVhjSRKNEjAYdPkr/8ZfZjQZY5zjW9/5Dm+8/S5CpfhG1tEZi9YKvAsAiQgJF7Idn4K6tlRVWK+Yum5BjMpU1KZJBvAeJzwW14KS4JrEgMAqcc2aKkk1WiryLKXf7bI06LO0NGA4XGJpaUCv16Pb6dDJUhKtCLdRGNe1dRRVzXg6Y380Znd/xM7uAds7e4xnBaPJjOmswjqPVAlIRe0/wlvJp+Vf7xIDpfyMXvTjy+lD/ll49Dz8n9ucw/3u7x+kjmOK/4g/D3we9xenejTX4l+Xnwfp3zt8v3iPtPeNApeIwBZJGqZIK5/1kNt6t7bf43kcu839ti2e/6EPjwE/4qeLnx39+7j/Hwea3Gvbb9Pewz9+4ece67jXWSHWIUE0sllaB+msblqxlAVT9WFaMEwK+rqkq+pGPss2oEgjgXo0WtrU3b6y3K6pdyz3Mujm29x27lsoMafrtquoh7S88s2xHg0osljm53538OLeSmx7/Ln1HO5tIC72cyuN5edgRgRIIjQWjivaa7R4Movt8YfqF23983L79sTvpPBo4UiVCQbsqcOnARxZPKV2zXGb87prt/w8fg6d733ud7f/f9RzbfZ/KGvBI5fg0Pke9/c9lE80MDKbzdogSpZlrK6u0u/36ff7DAaDNphvmiBXVVVtcKSqKrIsMDAGg8EhY+yoB74YyF9aWiJNU6qqOnTcRVkq0+iYx/3rOvhaRHDANuBKDCBFfeoIlsSfEHi2HBzsc+3aNTY3N1FK0e/3WxNPoA3CBwaBIM9z+v0BKysr4UW82yXLMvb29tjd3W3PL3qMRMAlmPL6QwBCbD/QBtZjEL+u6jYAnyQJnU4H3WhnCyE4ODhoJapiH0XT3wgIRSZDlmUsDYf0+/0AKDQBp1g/QJKmLC0tobSiqmvKKshjdTod/MI4iP0YASznfGt8Grfv9XotiNLr9cgaFkW8btF4PDJbJpMJo9Go7YMYPIuZs63GfKNfH4M8ZVlycHDQGrA654J5u1JtkCn2c+ynKEtV1SFTOMtCO5NEk6aN4bkIsmPD4RJZFrxTsjSlk+ctwNbv91v5sTjGoufMIvMnz/ND8lZ1VZFnGd1ut70fYlBseWW59SuJgFzR+BfEIhoGj9a6HRfxvBZBEp0oPI48z+j1uo10msF5i1QClchgiosFJUKOeaIQUrDUG/DCc8+zPFyll/X5Z7//LxBVgk16fGAr3jMztk1JXRSsOM/XLjzGi8srrNQSUTpkr8skU+xIeH824vXdLZ75+l9g21dcnRwwuHiOIpEkWY4zht2DXc49dYnVi6eZmBndPOWFzzzP4888xbPPP8+ZM2cYzyYILfFKUuNQ/Q6rT13i7b0tTj37BOtPXOS97Rt0T6+xdOYEH3zwPon1PP3443z45ptkVc26Srj52uucSTv0rSUrS66/9RaDNME1jCK0pBKO/plTVJ2MsZJMEkXv0nk2rGHt6Sd56oufY3jyBC+9/GNOnVzhifOn+epnn+f8yhLTnU3yVAYTvRQMFYWZUZRTur0sZJMLgVKSqizodrt459je2kY091lZlkglOHXqNMY43nrzbS5fvsyZM6fZ29+nP+gzXF4CKRkMV7j0+BN87vNfYmPrgHfev8qJ02dZP7FGVRcsr/RQyrK9c41iusuHH77F3t4NOrnE1GO2N68hXI01RQA9VnKu37zM1vZN+oMu77//FtevvMfp9SF5KpiNJ3irePKJ51karOFqg3eW6zevc+3mTZI0pTJ1mDOqkvQWYNi188hcVor5/N0Az/GeD0DFnFUgpUAuegaZOXsu+vRE4GKxyHis5v+LweLw+Zw1ERsVnyHRkyHuB/7Q/t67Nuv/MHAxl+iK+y4Gquf1NW1s5rgALKuF/jkM+ty5xL46vG8EVhfrOgTIyDnTIG6ntGr7E4JPy+L50+aQcQv4Ec9/8XkU5S2FEKgm0K+UbNt2tH1aqRB8X7heUkr6/fB8eeqpp1hdXWnXHVtbWyRJwunTp9uxYJ1jOpvS7/d5+umnsdbS6/U4deoU/V6XEydW2+d0nuXs7++zvb3NtWvX2dnZ5YUXXmx9t6JHlqkto9EosD68Z2Nri6r1+ArqVN7f2heL4yD+xOe298GTSmsdEkga4C/uHvqhYTl5j7Oxnlh3YPbWdX0IqDrEKIEG0JuvE2yUpmoA+1QnlNMpX//qV1hZHlJby83tXX7rd/4JSWdAbQVJlqO1QEoPomEpede8xUjCkjeATeEnQTdsRdmAHdbO12KxzXGcBtP05r5rxrK1YX1pTB1AliOJL1mW0ev1WFpaYmV5mZWVlSDj2u2S51nDQgpye3VtKYqS0XjM7t4eOzu7HByMGI0n4Wc0ZVYUGPMpZeTT8hHK4ovzMS+XD/M4dwxAfczL4sv3RwYk7rfcPtb0YOVh1vXzqP/TcsdydJy2JY4j2YAhSWOwnoRHopPcEmi641herPNeS7PtPd8v91DXRypH2R3iyO+7HUfcpuV3a9u9tP2WbW4b+jt+3we4Li1wIT1KedLEkCeGXlKxlBYsJQU9XZHJAIgkwqCERTagSGzTLf4QtwTUjyv+oU11sSWO444pDrXxUT+UFs99Hox/lJNkPL/muB/h/I62/fAov/9zCNdEhOtyyEekuVaH3kUXGSBi4fNb27J4inG83fW0W3AlvFcn0gZgRBtE6vCZwycNYAy3ehIdd/ofx2ffEXDknn9uc46L33/khJrjgJaPUNeh8XAcCAP3daxPtJRWVRWcPXuKpaUlgDbIHI0vI0ARA7xVVbG2tgbA1tZWG9ieTCZ0u12m0ylAC65Eg85er9cCC1GGCuaG2ZPJhJWVFQaDAZubm20weTKZoKViMBi0bIoYpFlkaxgz97Tw3rO/v8/oYESaBMbDbDYjz3O8d0ym45adYIxpwYkYlNdJGoLcTTC8LEuSJKHX6wX/jjS8pEc5pjRNW8krKRXWRqkv2wZGIAQ6tNLYRlIpBlUiO6WqqjabOYIIkZWhtGpBqRhYj30XwZQIDsQ6o+8H0BqWV1UVwIVEt4wRU9VtHywyP6LniFSSna1t8jxnbCaHMpOzLMM7qKuQPRz9LaaTWXOdE0Rj6pskSQNEmJZZorUmz/PWjyUCDxGAin9LKRkOh0yn05ZBEgGT2F+ReQQgZJByS5KkBfbiceqqJk8zTBXMzKUQeBuM4tMkoTZ1Y84uW3N4Y0y4/jErtpHaigCGc5blQQD+JpNJ44cSJLn6vT6J0lhjWyBxOp02vi0JxaxoGTLe+/aclVJMJpP2/GNgqa4NprBIJXGupijD2BNCsLy81ACIAa03xuAJ0jxaJFgcu1VFahxLnSFvvvYOL7/8GsvDZT482GE01NSlJhlNGVaOL5y/yEqSo7zjYDyiuzIkObXG7s2ClXNn+Pqlr/P3/9Fv8djnPs/Fp57h+vY2g+k5+p0uyybljdd+wvLZNXQnQSjJYDhgOp7QG/RJpCZRigrHwaxgeOIktiwo/JjNcsLZL3+Rb374Dr1zp1np5rz7zX/JTjXh3FOX+Ok3v8cHr77GZ59+hj99/5/y029+C1nWsLPL7Mo1loVAWw+uZn9zM4xtIai8Y6eYIqopz379q3z7e9/jre1NfuHFZ1CnT/DKlQ9ZOn+e5158nm9+688pJwecP7HK5dff4n/ya7/G+xs3+bv/5BvUOkX0hzgn0UlKt9dnNBqhlGJ5MAAceZaDc+zt7pGoIGllrSdLU86ePUcxm/Hmm2+ik4TRaI+9vV3OX3yM115/hfUT65S1I81Srt/cpNPJUGmPH7/0fX768k9Jsi4OjUVQG491MOgtUcxKnHUs9XsgPaPpCJ1KjLcUpg4AJ/C9b30LrCLv9PnP/u//N6piD6FKfvIdEEbyC1/8Rc6cPsfNV36MTlNms5o0SynLgrKq8E2W+2w6wzXSUEpJPL4FM7yDRAe2VjD/duhUt2B0yBwPXA0IMojeB5DDON+OaUETovcenMOJxtnAz7cBIvQRgvmLi8RmmzbI7Glf6uJmDoc4tICcB5yNdcyKAt1Ljg1G36mE4873iQABPvgfIQVCSbCRERDersQiq6Q9v2jafuvqZPGzRRm+9rMFkCTWGWQbTZA6il4ZACrMHbg5cLTYL61nlpAI4Q+BHqGdwRYirql8czxxqA3zPgySjBIIrKLxeEy322V9fZXBoMdoNOby5aucPn2aTq9LURWNB0mQ7iqKAAI89thFPvzwfUajMadPn2Zrc5t+t8vpkycYTceUVZB53N3d5eTJExTFjFOnTpEkKTdv3uTChQuMRiOsdUxnMwb9Lv2e5ubNTSbTKWvDARaPEL71j2mGZNMf836KiQGL4yU+01sJUedRQjbsx+ChoZXENCyrJEna9VdV1QgZ/DOcj304HwuRfetdHAdyoS0pUupGMlJgbc3jj13kl3/5F/md3/sj1k6e4vW3P+Af/e7v8x/9T/89djeu0s8zqqIgSXTLLDLWIIRuzM1rAjgSQT6JToK5uXOGqgrPnSA5F9phRPAMS1QyDwF4hxIea8MaLvrVxPEVmEUqjB9AqsAs6UiJdTllXWFqy2xWUle2AVdsuy6NDNO5bKtv2GpJ8M75tHxaHqC0QEgzzzXY5aMHL35GwYNHwoL5CHW2L+s/xzb8TOp7WOXn0K77GfuLzfu5A353CNItjjsvwekAhrjMt6DIIabIcfX5Y/+85VjHNeOOffMAwfu7bXP3a+HvLVB2i4/Ibfa7XZ/d7/g9tP29jqhjtnugIOD83MJ62KOUJVGOTNd0kpququjomlQakkVjdaKPSJMkcmzb21X0bcudht/9l1jD7Y45/z7It/o73kMPWg4H7u+vstv14r2V+MbZ/HXcMLlNZUe3vd+23+kqt+l7LehB8zorOMT28PPtj4KlR0fSLdJZfnHLeyuCMO6V9CjtUJlFlg5RiqBSI8XxBuy3GzM/9wfCkfIg4ziGIO6y70NZZ8WwwUOoY/Hyt/Ljzf/vF4T5RAMjzz3/PCfW1/DetzJTeZ41gfEQFO71em2wNs9ztre32d/fDwyEJgM2BuCDIfikZYMopdrgfjSUXmRpOOdaNslkMmnlqyAE91dWVoJsRwPMAIf8PeIxgDZAE4GdNMkY9APrJbJWalPT6/fp93pMp1Oc8y1okKYp1jn2Dw4OBfGNMcxmsxaM8I1URafTacGa6XTasiqCz0aQYIoMhBhMCl4YwUsFaDM/FwPjQJsRW1WNabwLZqwx4GKMaVkbUWIpmp4vBqDyPG+DM0CbrSkatknU7o6a6DEwH0GE2WyG8oqlpaXWUyMyZrTW4fxN3WbbRkAr9qdpjj0cDtsMUGNMyzCqqorRaNSyVIbDYSs9Fa9nPN9oRh8/d41XSDQrjzJUdV2TZzlaJy3jJAbuQvaqYX19nZ2dHfI8Z3VlldFoFIx6V4akvvEyaUzrh8Mhk8mkCboYut1u6yszmUwaYCbIjMwawOPxxx9Ha83Ozg5V47sSfVZ2d3dZWgoAhodWqiv6kcQxFZlREfyJbJGQRZuhdRcPGJmSZRndXo4Umr3dTbr9Pt1Ol1lVBGAtyZAyYcYYQ4HUOcZKvve9H6K6HW6aCbNMsLu/S8fDsoUvXXyCgYdiNuHSE5eYKc+er1g6MUT4MeNc8+yFC7zwmc/xo++/xOe//CX+5AffppgWdJcy3n//HQZLA556+hk2p3t4bxkuDdmZTJmOJ5xZW2NWFZhcIwdd9mzJmScvsvP6m2zs3GQl8Zx48hI/eP0VfvHrX+PkyRO8//77fOaF57kxWOL6W+9w8dQpnj1zgQ9ffo2zS6sMu0vsfHiFlAAGOAcqzciHS1zf3cEB2doqr1+7wokXnmH9sUt878c/4vTODuefeYZvfuvP+fz+ARdW17i0tsrV1wP4wtVrbP30VT733AvIX/k1/sGf/EnwX0hzKlOyvbvP+GDMmdNnEDKAlVmq2dvbDc8S55v7Jtyzm1tbTMdjlpeX0RJOnlyjLEuK6ZjpZEySZlgr2N7Z4sc/mfD222+wvNTj1JlLvPPeZaxzZInGeclgkDOZTrBmQqIh7+YIGUDUbq6pXc2gm5MajQO0FJw9c4oTq6dJsy69XofV1SWEqLGl4YN3L/PW2+/wxNNPceJUn+s3N5Cyw3Q2QUiF1CqAIw5msyk60eRZhtIyLJKjpI+1hAV/ZAwkDXMrbZ8LUgSpI+/D4kqIhv3hA+sg3P8O6xrmSONPEQU223WUByeinJQ4xCgJoErz2/kQtW88SwCI8+7Cg/+wbJdr57b4XWB/gLHm0PN0HtQ9LIm1GKidt8kf2v5oEWJBNzgyW9q5fQ7eHJIUOwKAxDk3BPDnzwZna4SAuj4s93SY6TLvgwBQCYgshpbpF+an+AyO7Bvvwfm5nJdQYl5H204aMLsCndDtZA24H/y/1tfXKYqCzc1NTp482a4ZYgJAkiZYY+j1++zu7LC8vMzZs2d588236XQyVtdW2N8bBeamNS37dTqdcfPmTfr9J8iyjNOnT/PNb36TbrdLt9ujKGYIAlukKEo2NjbY2NhkeTBo+kBiXH3sG1Ps30WpRynn1y/LMmb7+8xmM7SS7fNQysCaSHTa+KCEeb42YV3VH/QxJniTuch0EK49ZjtWG7+pCFZEeVBrKpIEqqLAGIt1u3z5F77EH//pd3BC42TKf/tbv8cvff1rXDi1ymRvkyzVLaAV2FsG5yzGO7yTpKluXgDmY9s527JH5wCdb1guBuNrjKiDhJ7WrVePEAKpgmzdYfCMufwbwVtIuDlDSjfHSdMcZ+dSpGHd5hozeY+pq9B3LsxJznmKsrrl+n1aPi3/2pePY7D/U1DkY13uN5bVBh0fQVs+cjkmSN9KaOmGKZISdPQ1d49K3+OJHg0c/kz75p7G8h1AkePO/7h+OfrZwwio3+v2j6Rz58BGOB/fBIkdiTZk2pJKQ6YMqVgARWJI+tiAZmzc/U8wn05J8xKBgQgb3BKYv2OZgyPHf3P7uj7q0JoDQne6OY4/+q1TzTHvlbdsc/i4tz/mkU9F7FuP9B4hXPDVSQ1JbvAloGQbcH9oZuGf9HI33PHnUd/tgL4HAERi+UQDI+PxCO9sa9adpklj0t1rM95jNn/URldKcfLkSQaDAaPRCOcc/X6/zZCML9IQWB0huzO87KZpekiWI9a5qF8esx+NMYzHY4rJtDFKD5IM3UEf4BCLRSndBhkiaOGaIJj1jsFwCXCoKshZOe/JOx0mkwl7+wfknQyhJFpJBsmgBTviuUU/iaiNXZZlkKFqAkSrq6utdMb/n70/D7Ykue/70E9m1nL2c7fue3uf7pmefQYDEAQwJEgCIEiAiyxbVIRfWKb19GTrBcVHWWKEQs8RDoUt208OO8L6R5RDT6Gw/If1ZNOkTBMkRQEUARD7AJgZzL5P732773b22jLz/ZGVdc65fXtfZkae7Dh97z2nTlZWVlZV5u/7+36/DnyQVb8ppcizvGyjC+jnRTE31rIscxmiJdhQFMUcSKD95+W+jTFVgNFLdPk+BKogkmfm+IzVOHaG4AKqcxE0AkajUeXdEQYRugQiwjAkLk3cdWmu3m63qzY76ZMWSZLQbrcrYMaDLkZMgSvPSAEYj8eMx+NKlqpiepTghT8uX//Ozk4FFPn6vcSGB0M8+BUEAYW1hIGq+r9er5OmTj5MWCrGhge34iii0Jper4e1mjAKUUqQJAmDQWkKbQ2NRq30ZtAVa0SUGex5VrJcgpDx0LFGAASiupac5No0aKukKhkn8/JoHijz7ffAyWQyYTJJyHNFlg25ePEyly5dIkkSarWIPHfyMlFcYzgek2uNqVYhgqCuSO2IbhjRNoqLZ86yNR4wqkEqclpFxsGoyePHDtPILaNRn2FgyIabPPz0k/zxn/4J7Fxm4egBXnz9VY5vbfORBx/lz77yVUhyjh0+6q7tQJJH7txpNKS58x6ylv2ra5x6612KzgK9ZExPGvJ6zPlRn4VGSPP4Yd740Y84s36BBx98kG99/c8Y9vo8cPAo3/n+d2kZxcm1Q2yfX+fM86+w1G5zZGUfcpwirUBjkbWI3DoN/G6zSbSyRH+0Q7fb5ZHHn2Dr+R/wnR89x9OfeJr2qXd45+13+cnPf46FRpO3n/sRjx2/n25hGPR65BuXCQYjFkXM+g9e5LGTJzE/9Tn++Lln2cxTxpMxaZJy/NhhwrBGqBSNeo2Ny5eZjEdEYcA4dcBqmqZYYK27gNWaZj1G5ylSOjmdZrNJqDapxSHZcMLOzoCtbVhaWKTIcpaXFnn8yY9y6tTbZWC7QClJo76Ak7DRBCosfzc06jGFLTDWEoWxyxzPElYWFzh66ABZmtPpLJZJXZL2whL1Rxd4593TnLt4mu5yxIXLE5SoE9mASeKAUSkUSZ44RpiAqem4M2gOlHImycZ5Eygl5+75xhgCUXr2VMF/XMZ4eb8SpQ+F1hajLRhQYhpspby6nCpvlbYPzIMQVfDWf8t6YGX6lSnLZN5M3d+THCizy0gdD5Jcyarw3/HgxizwMSu3OAU7FNZq5mc3V5uRuAt6HryZB0dmf/egz2ybjS2QQpVtdLuR0nm6ACUjwqCkwpiyl2cAF3eOnP9FGASI8rhEeY5dJdN+EVgkBsd68fuTeNklJQVB4KQrs2TC4UOH2bdvHxsbG6ytrdFqtRzLsFYvn1M5g5EDt5IkIQoCXnnlFXo7vTKRQrOysszGxibtdotTp05XyR2j0ZCdnR02Njbpdhd48OSDhGHIhfV1Dh06hJXSyVEiyfKCQAb0dgZkaU4tDkqGVIDV0/v47Dn1x797HBSFdtKO1jIejVhY6M4xR/09voS0ANDaEoYBYRRhbDazL4OQ0/E2Bbb8GC7ZJAIndxVKAmkwOsVqTTYZc/Lk/XzkIx/h69/+Pp2lJYos47f+x3/C3/1//y2CwD2TZCCwwjrvuDCkyA061yRpxuXLm+6ZEkiarQatdg0p/VxOzPjcOHBI2tLg0xqs0RgNupyvVf3kRnaFfTrAtBx3MnDfKyxGuIqllAjc+QpiRRQH1HRYzlcs2hTowpAXHhgpyPOCJJlgk3lQ88PyYbmpMhtheC8iUrMZfXd5H3ey3HKW5PsRHNlV7//lYz830r927seNf+8elypjVoANwAQCE1kHjgQOKLkqKLI7+ni949urT270uze7rbjOOK3quMpW1wRH7JXX99X6Z6/fb6hd12jbVbe/sc9uJsYoqv/cT1GCIkIYB4xIQ6Q0kdIEUhMIXYIi3k9kJs9fXFn3e38vufVW+EC4zza/lcv7dvtgHmDYG2a4fguurHXu2G7quzdeblQYzUlfiZm/q5zBK5szg+bsbv9N97OgTAwr1RuEm+crZQhDTRgVFKHEBhajLELPt9G3Zw6rvDbmc8vlerezu1Ju8D58x8p8SOOulJuVi/1AAyPJJKHZqNNutyuZqqIoKpmqaZa9M7fu9/skScLS0hI7OztVIBpc4Hs2WAxU8lSeteGDwrNeC0VRVKbksz4cPpgcxXGlAS6kZJImc8EfVXpzqCCopLy8NrULumdMJmPyPKuAAR+4l1LS6XTQuiBNM6R09eZ5XnlMjMdjlFLUarVSMsv97o8VHMiwublZARbGGIo0RSpJHNfQelwFiYwxhEFQbdcvGSpZnmPStNLhTsvffbayl23yGuNebskDUqPRqPLg8Fm8xUzgwUujKaUwVldggs/ArUzPkQig3W7PAE/T4/R1+vc8iOHb40GHoiiISs8TJVwAq9loIJWi1+sxGo5otZ3RexSGBCrAlpnmYRhirGMKDQdDwiAg7nbLLHNZZia7yEkymRCWAdogCLBArz8oAzISbzqcJAkLiwvkxjjDYSnoD/rYElAKVECrUSfXBdposjR19SKIwsgFm8BJiVgniRTHNbI8w+p5nf1Zg/hZ3xzPyPHnpCil1pIkmZOk8dvPSqWMx2MuXbrExYvrjCeaLJUMBiMK7QCrSaKYTBI6nQ6ZTsjzgkxrrJBEYUSSJYwLS9yI2by0TS9xki02lOQ6IR8OOUDII6sH2bewwIVz5wj3tzhwaI0fvP4Ci/Y4+x+6jzdOvcvHjx9EKcX5U2d46sSDrLU6nH/tTfbff5itfEJRZNSW2lzY3CS4FNGI6wgNIgjIiox2q40QAcQx9ZVl1g4f4/LWBm+dP8/9J08Snz7FKz96kS9+8Rc5dvAQb730MidW1lhI4eILr9MOIrbGCbYQpIlGaFOea8itRIYx+48f4bXXXyfLUjr7lrCDDcZRRPvgKieTh/n2M98lzVOOHTrMm2+8Qe/seX7i0cd44ct/xrneCMYj6qZgcmGdbhAR5gIZRlw6fZ7OviUiIRn1+yT5hNX9q4Ch3axT5JqNjQ20NijlPAXywpBlCUIE7Nu3j7/wF/4ib73xOn/2tT+h3WoihLvvHjt6mPPnztFtNxmNx2RpQhDG9Ho92u02o9EErCQMY4wpCAIHqCiEC2aX8mFCCqJQlQFVd2+xKHQOURQz6vd4/tnvowjRBQglkKF0BtNS0VrocHlzgyefPM651jrDkRtHKpTUlGI4mpTPhox6vUYYSjAaU+RIIQiVQgDKyBLAlVNA0BqsMQRhKctjS6yivI9pH+gvI6OmYkaU3y9l4gReW9VWkz4XCxZTIKACDHYBJf53AdZQgQNV4tfcSmUG6DXGmcsbjdZTQGcvujVMg+OVFNhsrTNA6Oy+/PTDzraz/Mxnp+0FhMyyPWYTDqBk4ShV9pFECcfIccsz62SFqonP1PvBS2UpMRt4n+5LCg90lCHtkhVimQloX9FGgzGlVwoQBFNw3DHlGpw8eZLhcESj0ayYrLoEH7TWRHFMGEdEUYwQEmktR48cofnQQ5w6dYZXXnmVhW6XWhyTlszTXm+HVqvlki2SlMFgyKXLl3nogZN8/Mc/wZmzZ52ckxBYIZhMEmQ9xtZCLm9uMRiPUKoJpsySKkGneZYNFQt2yqKYGrH7eYyT4VycSWawDjw0DoD3AIeUkrwo2NzcIlBhxcJwVXogZnpOpm0pWVNWYKwpwStDFIZEgaKwiqAe8fTTn+TZl9/AGIEMYl574xT/x+/9Af+3f++L6CLBMvXtUipAKoGVmjCoUavVybMciyGKwnIsu+QA71fjxqKqWKpCiJLVYil0KTNqHaxpjCEIw+qax7qx6hlfStoSxKQCfayxCAlFnqJsKc9qDYFSxJECEZGlGdaG2FYdayFJEybjqJrrfVg+LDdd3uuh828DKHIv+/Bu7utDUMSVmwlw3wxo8B6UKqgqwErQoXASWuEUFKkktNjj582Wm4kC301g8VZAkZn3rhncvFqa/c2l8l+9bbPldvvohpGR+Z9uvgxKWJQwBFJPZbOkRYopKDIPjsw2ecp0mP3g3l8mt3pH83BPuT666fP7fi7+2N6bYmd+GqYeI3Mj6bqgze4ibur2c7U2CSCQhjjQFGHhYj2B8xkR1oIR89f6zE7vdlD/3/pyN5BUsesFN3Udf6CBkXa7VQXovZG392rwQRvvo+HljTxI4AO/aSkV5EGS0Wg0F/ydldoCKt1s/30vf2WtrSSRfHC/KJkV3nPCb+eLf88HmbXWtFqOUWLM1AjZZ3R6KShvhAowGo0AlwGrAlUdnwclvBST9xHxC37fN95E24MuFRCUZ0QiQhcawdQHwwfZvEdJBWrU6xXY4AEJbwI+nozLY5rKnnh/FA9StFot2u02vV6vOic++DbLGHHSGo5t4/9WSiERpTG8Y8c06vWKpQFUoJUP9nsG0Czbo16vz40TrQuElSglicOIKHRSQnEYYevODFYJSaqdnJdrm0aWzBoPwjSbTdevwmUZSyHQpcxZp9NxmfjGYnQJpkU++AS1es0dey0izzNnXG78uVUuSFcGHbXWKCmdSbSFuJT7suU1kKYpYQncFXmBIK36ZjYLPI5jWq0W6+vr1Gq1qp/8uffnIwyj6loAqutq9ti990q9XufEiRPcd999CBWgNRRao41GCsiLgvFoRBzXkEFIEEWkWY7B9aWQkiCMeeOVN3nue99nnCUkyZhRMiFLRjz1wIMcb3TYWb+EOlpH0GUoDY9//FHeSi7z/Duv8fjDj/D2u++wef48j913nDMvvcFrO2OirKDY2iFt1ah36kitiRsxC2qZze0dtvItpAWiACNhsdZkNEkwUtLPMloLEQeOHePcM9/HGLj//gd46Zvf5cwLL/HwkWM8+/VvcWG9z5IRmItbmMUOjTCmZQNsmqNqIRqBKQwTJJd2dmg0HuLA44/x/LPPEmxvceDk/Xz3B9/n4PkzHDtwiHP713jztVd5+NgJRqfPc/6Fl3nykYd5YGmFoD+ibi1GSortAaGKGWYpQb1NhuR7zz/LhUsXKWzBT37qExw+fIgf/uA5TJEy7I/RhUZrU4IiGePJBCElzXoNhCRNMz796Z9i2NvmpRefx+qCp3/iU9x//H5efPFlmo06K8uLXLp0GWstUbNksSGIayEyiMgnOYEKyZMUlCQMlaOultniQSAR1iCsJZQKYRVGgTUaIQ1RHAIBqh4jlECLgtwKVBhhUQx7PQLbYnXpCOPROaJIoQuNFYJQBeRZjpQCJSxhIJ3EjxRY4+5/YSCQKsIRAyzC2orZ4WKSBqnAmilTweMRKghLVoJGIcE6FphxrtQzM0QHfrg4skMolJQgxRzgsJtVgSM74FkiPrrsAYHZCYC/L2RZVjJcZrJepk2ogJvdclYIU4Exs0Fyv+20XaKqzzduHgCZAgz+HuLv77MszUouq3zWzPp/mPIcCFQ5uZ4NppeLGTsFu7GghCCKwipRwe9DKUUoQ0riCFKo8thK0GQXk8YDLbtlw/wz0MtOrqzs4+jRY7Tbneo51yxZmw7Ut0S1mEajiZTKPZe1W3Baa2i1m870XQiOn7iPZ599lvvuO8rzP9qpgIk0zZhMEja3triwvs7DjzzKxuYWYRiVzBlNlhe0mg3yomD90mX6/SGdZhMlQ4zOEEzN5/1x+PM5ZUtMfVp88kCr1aLf7zMej6vnbxioUqtZVOxX1yeZ8+Ap5ebAfS6le45gHbPKP3+k9IBVUI4NVYGHUgqMNqX7iAWd89ijJzl+7Agvv/62ez7XW3z5T77G4bVlfuLpHyPNEgqtKbQzFC1bgFJOSsuBCxbQZFkKlIwXO82GlMJdIEVRMluYPi+tdc96JSUoiRXueDAWJR3DNtdOwoui/KxshdEGoy0qcExad/6dbwnWzQXAEig3r5HlnDIKFfU4IgwUH5YPyy2X91NA/AMAMsz1090M7t5AmX1+3/HyYZDn+uVW+ugq19uNVHXNa/QqFdrSUN0EAhuAjiw2pJTPsnf+PN+p+m70vnQj2jZ7tekq4Ka9mhn7nn/v3vdN9udN9tVuRsbVi1+H3OSo2gWOCOnktIJSOmsqn1VyATwoInYfyhSZqWLIH1hg4W5Ea2+vzK+07v1+b7uOcuk7C5B41sjUjP3Wjm4KZ/nzdvV69jqzXkIuCgqKUKGjAqIQm1msFQgz44FYVnDXEyVmQgU3fg+49X29p+UuHt+tzJfk9Td5/xaX7TqVJQKXdR9FUZXd7oP/tVqNOI5ZWFggyzJGoxF5nhNFEfV6vTK5lFJSr9erxa8P9Nbr9UoiCKbBodltZrMsPWCiSvbDlLHhHlw+4OwBB6DyrvAB6KLIKnaFZ1x4bwv/ndFoRBzHxHGNQDnGRJFrRsMxSioXfMxypFAE0jMxXOAjzwuMsWSZAwc8sJHnOc1GEykkw+HQZfRPJpVniTXOtLXfH6JkUMmNedZGFEVOhqhsexhGFbDjmSw+yCCwTMYjpBSMR0PSNKFeqyEFRGFAHEWlvrwLiurCmcp7qbAwCJFCVr4j/hyNRiO0MQ4kUorxZFIF5FqtVsUC8pJd9Xq98gHxAag4rjlfEOFAFZ/960EWLxclhGA8HlfBPs948fWmaTqTuaqq7/n+9N40PrjWbjZQUtBo1DFlFq4DQZxcjZQeCCnc30pg7DTYqJSqxrkPPnqG0azpum9HlqXUazFSQJpO0EVOkoyJ4pAoDqv6jdVEcUi9UQMMaTZBm4JOp4WxmjRLsBgXvJQ434byJ8KWuv1OfsaiiSJFu9Vgodui1Yg5dGiV1bVlWs2YOJIsdFusLC+wsNhlcbHL22++zvd/8B16w20mecI4T9Ha8tjRB2maiINHj5PGIWdGOyycOMK5wRb9/jZPPfwIyXYPM5zw8MGjDN89xyHVYJGArdNnqBlDnGTE/Qnt3CInKXowYqHRpNtdYGF5icX9+2i0W7Q7HQgDgnqDWq1OURjePXOWdr3FfSsHuPjWKU7sO8Cx7jLJxQ3SS5uc2LdKnBbUE02caIbbPWpxjbwo0EDYaZOGilEgqR1YZeH4fXzv5ZdYPn4EudjhrbOnWVxYpNnt8Napd2gKxcFWl/HGJnKcsBrXCbZ6XHzxFQ52upCmqLygZiSygKjdIVhb4Zwq+Oap1/jhu6/RS4c88cSj/MLnf5Zf/vmf48jaGuvnzlDkqWMhKUma5wzHE4IwJgxjCmPpD8b8yb/5Uza3t/m5L36RpZX9nDl7gdFwQr8/ZGVlH9vb26zt308tjrHGkCQThsMB9VqdRr3pAO0wRhcFgZDoLCdPM8IgqPwFjL+vao20oARIWyDIMTonz1PybEKejsizEdqMUGFBbiYEUhDJBm+/cp5Dy/eVDAMIAomSqgycC+eTICnBGIuSwmXSl9Mr5yEikMIFymdZUZ6BUEkDVZkJtgISQOA9SpRUCGTFBLFW4GR0ZDXrsTMME8qqphMWO31Z65gnVV2zL8BM/y6KopI33M36sFfupGqHL7OAxazM0uy2nvXiaNGymjHOMi2M8WbeVPeg2b709ft71az8pTZ2Onn2dSPm2rUb0HGgiZlrs3+p0t/hWgvI6hPh+md6PoUbJ0AUBG4M4Z7d1loOHTrCgycfZnFhiVarzdLSUgW6a+uuK2vds7fQBosgN+5YdVEQKEmzWSdJJix0usSRY5x2u90yySMmTTKGozHJJCXLchYXl6nXG1UbfZ9pYym0Jc1yNje3QMjyvu+fA2HFpvAsP/9cg3kAy7/n5hoxve0dmvU6Srgz4eYs7vz6xIk0zTHluZuef1udw1lWkX+mzvq9OLZkQZGnZGnmWE7ugmU87tNuxvz0pz+JyRLiMMQYwTjT/N4ffpm33j1PVGsBIQjlQE8on5MFwmrCQBIGCiWdCaeXbRNCoEQ5RsqxJgUURVY9i4NAlvcEgVIugSVQqpIrdVJ6ECo3h/GszmAGXJFSlSCrRhcZWmcIYdwLg8C1MVCAddtIYanFIbV6dNWx+2H5sHxgynsUNLM3+arKrQbF7xQocgfrmit3q94PC4i9ZlmuXG/MXR8g2PWCylTdBpQyWrb8CVbaadTnFrNpb7lcbx83BIrYuweKXO8aEDNnZrbf7mbf3SQocuXv19h2V93+T4mtWCOqNFn3rxs/3HkWwI21+8MyX3y4X5QMC8q/731xiWhi7rV7xF0N2LB+2VpuA2LmPjet67aPaw6ou7HafGsqYERp4jBHhRobm1J+0F7pV7HHffeOl9l71N1+iX+7rsTqWG4RvPpAAyP+tFrrMh+HwyHj8dgZQ5eZ70IIwjBk3759jr0wHjOZTOh0OkgpK9N0zwRptVpkWUaz2azAlriUw/IBijiOqdfrFSBQFEUVlPcsCK11Jd3kpby8z8asuakHU5IkYTKZVBn4RTE9hr0AmsFgwGQyqbwxnMdKNJe9GoYRnU6HRqOJEII0y8gyl72v1DQ47tgtU3kr55MRUKu5fXmwwMuUpWlGmqQsdBcISvDJf26MYTweVyBQmqbkeVYFRbwfiZMuS6sAWJHnjEajkumRV2CWlIJmo0EtjqtzO8v2UUqhpMQaw/LyMkIIut0u9Uaj8j2ZBcuSJKkYD0EQ0Gw2K2kxzyTxLIc8zyp5qyRJKiYLUAE8nqnkGTyeYeTbuJc5vQePOp1OZURfr9crwKLX76MLl9GeZSmTyRhRBmfTNAGcdImUgjAMXACwNIryUmYeeMmyjDRNKxBolr3krxO3fYHWTj4sz7OS6dLAWifd5YJBDpwpilLuqJQZ0kZTr9doNhtkWUoYBtPtynZnWUqWpRQ6x5qCIJBV0Gs8njhGTJow6PdIkwlFlhMFIRjL17/2dX73d/4l3/nud9gZ7JDolO1Rn+3eDseO3cfawn6GgwmXk5TFB07w2oULiGaDqN7gzVde58S+g5xcOsDOG2e5r7lMd2S49PyrrMVNWjIgslC3gigpCHPN1vl1GgRsnr3IsN9jlEzYGQ/ItaYoNIPxmP5oSDZJWep02dnaYryxzWrUYHDqHM3csL/epKEtl99+FzlJqQchkQqgZCQsr62haxFDgGaT5sED9JXg0OMP8+iPf4zeZMzlnR0O33+c3tY2m2cv8GOPPM6lU2c49dLL9E6doaEt/XPnibOCBULEcMKF8+doL3TJjSE3YFXAUMCk0+Srr7/EDy+eoi8yPvPzP8MjD51AT4boyYhPPPURmrU6ssyETtOU4WgEUqHiCBEoisKN5VOnz/Dbv/Mv6Y0n/JX/+K9x4PAxvvr1b/F//B9fYuPyNuNJSq3eYHFpEWOdJn6STJBKIAJBoY27LmVYBmMjQFBkOWX6vruzVyCBCxIqaQCNcWHvkkGgsTZFmwRLRqAsOi9oxw0aBCzUajTjCIkus7E1gZJVQNdJI2mwGqlKP4EKBHBZ234M+2eAZyRUcyQhKrkdhCDXRXmdTb0b2MWuEDOzuCpAb6nuGW4NdqVB+fS5N/2BnUr/2PL3ahNjq3vmLBAwB6Rcs8yDHLPf9z+FcMfuwB8vWbV7FmIrEGn2u7NJBbP3yFmgwzNdhP9XpqrNJimY2XpLIKPK+7dTdoRj7oky8+3qXifWzk4bp8cwCxRIwdzfQRBw5MgR3j11ikuXLoMV6NLLI89z90yKIrQ25KXslX9ujkYj9yyJIjqdNtpo4jhk38oKw+GQlZUV93yWEqUChoMhw+EYIQStVotDhw6TZXn5DHdzkMkkwWqDlIrNrW3SLMcKiZABdi46Mg92eYCqYt7ggQ9deri1GA4GRGFEtwRvPEskz4tqvLk+n+/XWYDE96cHwmbZrFUShs4xOiv9pyzGurEmhSVLhjz5yIOcOHKEUW9AGETEtTbnLm3z5a9+g95gAjKkMIIkybBY589hNVBgTQbWecQ4AEIicWBoebpLBqigVnOSmUo5Bqmo7h+26h+BQEmJQFAUbv6glKLVdMzZWq1GvVav5o6NRoNGo0mglLsujEEKHPAmbel1kpfXTlEmyjgGitGaD8uH5bbK7sX9e/G61+1jD6DjVtt7s9+5zbZfkaF6N87Dez0e/m18zZarvb9HuZ1x6oAR4XTyvaeItNP9zrZhr7bcy36Y+dxe6/Pdbb7ZbfY47jlQZHbfVdk1Qb6i33aBKjfbD1cp5ZLhBjffC9i5uTCnKP8TUDFCKtmsuZC3nW5/zdr81rPfem/KHQm6v2dlvi/v5XHMB8/3voCmYI2YGRlXjo7ZzyzMIfzX+t5Nl2tcM9e6NAQOCAxlQag0KtSI2IEjBCWYfK375V47uxP3yrtxH34v93UL98JbLjdzvnaV2wJG/tv/9r9FCMHf/Jt/s3ovSRJ+/dd/neXlZVqtFr/yK7/C+vr63PdOnz7NL/3SL9FoNNi/fz9/+2//7SqYfzPFm1+7oHZGFAUsLHSq4LD3CLHWcvHixcp82wdDfJDL+4R4VsdsJj9QZdz2+322t7cZj8dVgDnP8yrjPwzDuezcNE3JSrbFYDAgCAI6nQ6dTqfKznTAQV4BJj6A0ygD+y7zMq3ABB/c9vJMfl/j8ZjhcAhMg+PeJNwfw2wWMUwDUz5T0xhLu91BSsVoNKJer7O4uIi1tpTPmJDnLpDv5bkqZkwZRPHnxAdSZv1eZsEhM2N07sGY0WhUMTl0aSbuz9usvEccRnRabTDOCDbLMpIkYXt7u2L+GGNIs4z+cEBhNELJiu3QH/QodO500YWtWBFBqEizhDAKiOIQi2U4HJCXEixxHFdgl/djSdOU4XBY9aHv56IoWFxcrDJsgYo5slsqbNY3xlqL1YZ6XGPYH4CxhCqoXlEUY7DE9RoLS4tOdgcLUtBd6Fb7KoqC5eVl2u02KysrdLtdarVa5Qmyvb1dBb1EOT58SdMUAQRSVbJlVYC3rNtlt5vqmPw5qNVqld6+ByU94DMFE0FKS7fTxOgMY1JajRrCaOpxSBQ4KSOjM77xZ1/j9VdeZjwaME4TRjpjkE6oNRs8+ZGPUBQFP/X5z/DoJz7G8+feYfH4EWS9wZl3z/PRhz/CO6+e5oVvP4+5MEBeGBCsj1i1NaJeQjBOkEWBzlOyPGV70GOzt8O7p08TxzU2Lm2wfvECm9sbnL5wljffeZu333qLfr/PufNnefWVl1nuLnB0ZT/PfeNbbLz5Ds1xzrkXXmEhrjHc2qJhQE9SCmFIA8hjyfZoRB5KDjz+MMMo4OJwyL7j99GzBVvZEB1o7j9+hNdefIEDy8usdbpsvfE29zXaHAxrvP7c8zBOqKcF6dYOJkmJjUDkmiKQqOUug0gxDAPGUcwL587zu1//Kq9eusD6cIeP//jH+PO/+EXWltu8/drLNIOAhx+4nx//6EdpNupkacbG5haFsTQ7HYQKECqk3miRFRqE5OLlDf75//a/0xsm/I3f/NsYGTFKNL3BhO3tIds7ffbtX8VgqTXrpFnG5tYWWZaxfmmd8cQB1KPBELQhkGouk1xbB384dpQzUTYYCqspAFPK1xhh0dY4+a8CQhWhkzE/9akn+fW/+is89uAanWaExBJKgXQ0D3edGVOxSVQgCAJR/gzKzHmYzd0TtlRG9UaFkhJMKVkLZUA5CAJkFVQuWYRagzGlA9I84OFZJJRtqi7KGynVzHWeOUJ5HwFb3a/mgRF/aHtPtX09s14GVYBbgpXW+alQ6sUK6aQbhJdjFSAUiNL0XcwAFjPBcH/vm92H78PZfbqAuntpa9G+ywChHMtICImQCqVCAlU+Z8oguweGpJSuzeZaSwwHDrrJspwBT+YBFO9HoZQiKxkeC90FdrZ2eOett3n77bfp7fSJohpSBiRJRp5r8kKXdZW27saxmbLUsRrrtTqBlIzHExYXF7Bo2q1WKRXqWYFOEvHUqVMAHD58GGMsYRSVIJIkzwqMdUDVzk6fXq/v5KjEPPDoGT1az0tr+evA4X1uzAdSsLqyQhzHrK+vu4QD7NRHTQiEUNRqdffsx5IbTV7OqWA677JQJiDkFZDvniuaCpSUzl5GKZcGm+UGXThpB52OWe7W+Yt//hcxWQpIxkmOUTW+8Z0f8MNnX6Le7KDCGITz6wpDhbWaIJQlGCIIlCCMQuIoIgwCbMnGEliwBsrrXpbBCmO0AygwIMHgfXvceQ2CkDh0DN5KVlIbirxAa4uwEmGmEmX1uE4cRIRSocCxwbQBbbBFgbAQCEEgJKFUBCJAfChs/IEs7/WaCZi5H7+Pi7h72ZGz+7id9t1omc3IfM/bfa2yq9671f/XPLabLPeyjbd9fLvP27UCU7fSF2LmpcBInPysZ5Dci2DUTZSbGwc3OVL2Ok7ha7JYYfE+ElfGfC1ObszOv7/7XF1tP7dZZmbcN/i6WrnetrPvzX8mrnHsN37IM1tetZni+pvcwKd71evYCLd3f7nV8l7s806VK0fMXoN9CoTs5TRz1XrLh6Fj/1c7KH/cSK9de5trteBa3xTgvHRK5ogKDSrWyJpGhKa6f1bzpqvdq+/UPfZe3qdn2nzPn413cR56zWfvdcotAyPPPPMM//gf/2OefPLJuff/1t/6W/z+7/8+v/3bv83XvvY1zp8/z1/4C3+h+lxrzS/90i+RZRnf+ta3+J//5/+Zf/bP/hl/9+/+3ZtuQ5ImFSPBB2GVUtTr9TnwwwfghRAVk8EHbj37Y3FxkXa7Ta1WY2lpqdLQdpJKMUmSVHUvLS0xmUzIsozl5WW63W7FRvCBcZ9B2mg0WFxcZHFxkXq9zmg0otfrVZrvHhRZXFysgu7eBHw8Hldt9ACM70MvA+blqTzrYDbgPplM2NnZYTAYkKYpcRRV7IhZn5DBYFAFJS5evFj11cWLF7l06RLGGA4cOMDa2hqylKJZXl7GGEOr2aLRaBCFIc1ms1qsNRoNhBCVEbxnbbRaLSdZVpp5e7mp5eVlJ2c1I1UVhiHLy8uVd0UYOHNTL4Xmz3kcxzSbTfK8qICV8XhMVjI+ZiVwZkuhXcDMH78Hlzx7JyjZH34fjuWSVYCWEIKlpSUOHTpUMU08gBNFEcPhkJ2dHS5cuFCBRM1myd4pv++DQqPRqDr3zWaDeumR4kEoD/b44JOX9fKBrCAI2Nra5vTpU9U48UwR79vimSpBMJU/C0v9fQ9suf03K9Cr2WzNAXRRFNFsNit5oG63S5ZllfTc5uYmUkpqtVoFEHlGk/e+EaW2e7/fwxhNM66RpwlCQjqe0KjFNOIakQp4+YUX2NrYZDIaUaQ55AKrFSvLa/z0Zz5DZnKef/0l4pUW/WzEhc3LrKwd4ML5yyx21zhx8glef/scETU6QYPhZo907K7dne0dFrpdpw8fKSZo1re36Cwssbi4whNPfISaCCAtOLC6ytJCm1BCLQwYj4cMxiPeeesNjq+u0hISOxqzFETI/oh02Gex2ybQBWEgUO0ak1iwYzN0KPnR668TH1lD7l/g7QvnGRQFy0cO8tyrLxKGAQ8/cILJ9jZBmvHI4aPI/pDNH73KJ48+QJAXdOIaHSMRSYrXtpMiYGgKgtUV9HKXYTNm1Kjx7rDH+d6A7Z0ef+6Lv8DJA4dYf+dNlls1dDLi/OnTXDxzBiVha2uTixcuUG82OHb/CcI4xionRTOaTNjY2GDj8iYXL13iue8/y9/7//x9zpxf5z/+a3+d9cvbXNro0R+OOX9hnf1rB+guuHtprgt2Bn3ePX2K7Z0dpJQ0Gg0WFhYcsw/niROW41Mp5WSHBBUj0AXdFVoojFKY8nOQCBEz7KW8+co7HD90gKc/9gCBPcXxw4qlbkykBPVa5KRrPCMDA8JJ0XkQQ0oQ0oLQJStrNjvcmSNPg/l+8TC/anAZ6dO/sY6FspsZYo2tgrBVmQm8z9+vKr4EV0YwpnU43GemjZY58GEKcO5tqD7HwpipZxa0n22bLgPqWuvSYLw6xHICWUaTxfQ7dtcx7pbDqiS0KuBkd59MjdQFUwkupRTBDKPHH8csI0EIUfXXXDu4cq7r6/T1VSCdnS4F/HNKKcWhQ4cYjoYMh0OUCjh39hyvvvoqr7/+egX612p1Op0O7XaHMAyp1Wp0uh3qsWMkLC0tcd999zmGSJ5z8OBBB2yhXTIEdupfJiR5pjl79ixCCDrdLkIoZ+pdslGscM+BwWhErz8AIZEqKJknM+wnMZUB9ckdsywb3/dKKaIoYt++fZw/f76cfxVYi5OGKp/dtZIZUclrxlH1LPN1BXtIqnkwzgON1mqMLirWlX+eWFMgipx0NOCjTzzG/SfuY2Njg6jexAYxmZb8wR99mXffPUetVneyYsYQhAqEQSlJrRYRx6ED/4wlUKryDfPzFS+rOitF53+f9p1EKlkBccaUQFEQUhQFw+HQJQukWcU89ckDk/GYNElLxq5xwFmWO6m1ovA3lOra9tea0R/kpff/Ncv7Yc00V8SuxePM+zfysnfzdQvtue1sxZv4brWov4HXFYHXO93uXcdwO31+Y0HqO19uNbDyQS9z42j2g2ud86uNs+oz96ykBESumC7urmt3O3aP3Vt83fD1DVRARAVIXONM38i1O/Oe26etAJG574tdP9nj86pdu+q/wRFYTYGrl73ma06ya69ju9594Zr3ixnAo/wpruE5c63bzdU/u/kr1O76eTfKjYbd79W95f12T5vdv/t9apB+tYvuVto8/c4eDJhrDLjdrCWu+P0GyzXGugNHDKpkjahIIwILqrx3lKy7uWfmXs/Qve6jt9LOe/G62v7uVbnes+I6z5FrjoDZZ8BNNOmWzNeHwyF/6S/9Jf7JP/kn/Nf/9X9dvd/r9fin//Sf8s//+T/nc5/7HAD/0//0P/HII4/wne98h0996lP863/9r3n55Zf5yle+wurqKk899RT/1X/1X/F3/s7f4b/4L/4LoujGtZPzvKC+VKfRaMwZw16+fLkKuvugbKPRrBb89Xq9AiRqtVq12B4Oh3OBgTAMSZIEIQTtdpvJZEK/368YEkIINjY2aLfbwDTL0hiXSe8llpIkqTwo6i0n0TUej6uMTM808MGIqbmnrdoxG9jyJuL1eh1vfj4bvPBBoLW1tYphopRiMplUIJEHU4QQDAYDrLU0Go2qD/158H4mk8kEY6Db7dLb6WFx2+dFjskKRiWQ5AEAz7pRSpGmGUIKLl++XEmY6fJYB70+g17fyV/Fteo44jgmyzLyNCNLykB/CXy0W60K4IojBxpNUieRFUc1kjShMFP5siRJaDabeFDFs1istYgZ0GFxcZGdMmgbBEHptdJAISrjXg8OeHDDM4M8eNFutzHGVOMgjmOWl5erc6K1rthCs2blnrnjgm4Cqw3dbrc6B9MxnyOVrPo3jmMQotSvF+zbv4L3PPFAShRGGOu8RGq1GkJaavWI0WhEpCJUoLBFQRCGDIcjWq0mURTR7/cJwgBdjgchRAWCeMk4L2fmJVbW1tYq/57ZLHXPMDLGUItr1EoQLBcOxOr3C1ZXV0uAKsVgabZqHD50mJ3+kHScYSeaMFEUacHbb77DP3r9f2RnZ4NnXvwe9WadSEWcPv02RWEJdMBw548wFlRRQEPQ1AWrzRbh2j6SbEyaTwg6TRQ5m70d2qsHCLHk1nLm7Fm67TbLrQ6vv/0GP/aJj/HiSy9is5TjBw/Sbda5cPky9x27j96pi6wuLJBublEPArJhH9GKEFIyHg2JA8W+Y0c59dqrdFeXeez+B/jaM8/wwrlT7D95gnfOneftM2e574GTvPlv/hXbmxeJkpylKGTjrbdYjJssqoiNF9+ke98xlpeWyNKcplWkNidabLEQt3jnzBlGsaAXKpYefpBvf/cHXNg4w4unTnFpa4f/6C/+B/y7P/d5vvS//i8MZcHDn/4Elxa6vPnKK/TGOd/49nfZuLzNwuIiWgjOXbiANJao0aBRb7C80GTp4QXa7S4mUDS7XdCGc5c2+cynf4q//ht/k+eee5Y0GTEY9+n1BtQbLS6uX0aqkNFkzGR7hC4ydra3WOksMBiNkQgajUaVUR3EIUo6qTVjNMZntFuJEQFCWoxxvgBKSECRjFK6nTV+8sd/lk9//EGWuobVVoGJctYOLPDuhS0nw+ODu7FCTyxWa5R0903HaBClhI1FKR+At/iZgjAWjEVbzfSpW8oDGccgMMbgpYpEGYQXOJBel6wQa5zJ8pQvP4MoYEFIXAz/Jh7ndmaBM0UOMDPAADj/DeMnPw69KBdsonqG+OfErCm7f/4gQJRfrrAbS9VmBySVCzzffC+TNXM8u4EQ/94sAOMrF8KzQsrpsaVcrHpZKxecFmWQ3d8fpZ16jAjrzsosk6cCn0rwazdg43rHZxdOPUastcgSJADodLqsrq4yHk04d+4ijz7yMM1Wi/F4zNtvv81oNGbt0AEHgGtDGESkWYaQAQJNTRiydMzW1hYXL65z9ux5xzQRgk67zdb2tpPK1C6oP55MiIdDjh05QpYWNBttFrqLXLh43nlCFY7xUmSGVOREYUCvP8AYS6AkhXZKwdOh40EiWwEUjmXj+t9/PhlPsMbSbDZRSjEYDCr2qi4BDIt7HiFABgFWGyeLaJ1PhwcVpZTIUvaLmb6vxrxxXlVu/wYIMNb5u2AMgYLCZLQaMb/4xZ/jhf/hH2KRDEYTGkHEqdMX+NOvfp3/6Ff/fRYWFknTIUGZQat17gzPzQwD0rixGIVBeWULrJJg3TUTx44RbEqmhwOCXF8pqVAyQGtbPfc8qOTGpAN6iyyt5lfSWtIkdQwY6bxTtLClVBclIOjPkcB1m+s7XcxeHx+W93t5v6yZgOnCd/pYm7lP3+aB3ulyL9pzq0GLW/3u3Sh3qx336vhuJyL4fjkHN1qu1d5r9YO4zibV/G0v4IEqQLRnQOy9KrcWed97mz22v8JUfa/tZuff17uuq8/tle/t3nTP929ioN+p83K1e/xe/bXHO5W/yE21Z8ZtQlxvyFcLkbswFKd1X+392SC9mGnR3djr7jJ/1Nfa743WeHvlSsDiej1xkz0lYGq2Pv1+uZq8+h6qw7fTtSRw590gLFJagsAQhRodFOhAYpTCymkkfnZs31it5f3gRk7hbJ33Ainb6xjsVd6/W+VWj3PmmTh3q9+r7TdxPLcEjPz6r/86v/RLv8TnP//5uUn+D37wA/I85/Of/3z13sMPP8zRo0f59re/zac+9Sm+/e1v88QTT7C6ulpt84UvfIFf+7Vf46WXXuKjH/3oDbfDGIMqs/nGpYm2z/SbzU70GX9Z7g1+p+wBD554E26fPd9qtej1ehWwAtMFu5fo8hmDW1tbSClZWFiogsfe7yObyfT3wWIPbriMTcc+SJKELM8dS6FcOBdFUWWt+kCR94/wet9eisn7qXiJGM+A8OwCpRTxDAjkg/f9fn9ORkkqpxOf5zkIKgN7BARCsrW9hdGaSSLJiwJlJNZout3unDSYZzv4YzAWmo0mYRiSJglSSAqd02q3EVBmG7uHb5Ik5IXztSiKAiGddMhkPHb65qMhQVmPj5F5+bE8K6jVaoRVZrMkjmtkWU5cZujO+mwUWlOv1djp9RiPRtRqMUoqtDEEUlJkGVaqyjzdBXcKlFQVwKS1RheO0ZLnOQLBxvYGUjnmxPb29pwniSrZMv1+v2KheMmtNE3RRUGiNc12myRJSlkfWbFRjHbgQlyrkUwmTvIqK8BaCqNRMmChu0C/P0QKgZIBWZ4TBhGBjBCkDAdjgkAhrDOAjRst4loda6EodAkyxRRG06g3KApNkkzIMzdWTGSQYmp4D5QgWFqye4Kp9It0QUc3XhW60GRJRr1WQxcFlFnXw9EQrQ1Shu5zo9m3skJve5tuF5LxBFsIAmHZt7rCU089yYn7j1HvNPnd3/1dnvv+D1FBDRUEGCM4de4suRXEgeLM+REdKQmLnG6nRaNZp92o0wgjDjz+JO/+4BmeeOIjDNIJL776Ct//7ve4/75jLLdqKJ0R5jlBrjm0b5V2o8H21hYblzZIF1bYePNdFoLQBRzzBBUrBibn5COPce6tU2xPJuxrNmnu30cmFftOHOdkmvCNF5/jF77wC+xfXmbj3FkePH6EYyv7ePbb32IxbBAbSDa2yVsWUQga9Tbvnt8gW2wwyAR0OmSh5LKw1A/fR1hr0b94hrcuDTh89DBvXLjEmbPnQMAvfOHnWKjXWKrFnNi/Sjoa0D91kfsOHufffOeHfP/5l9gYDuis7GPp4AH2rR2ks7jIwUOHaTWaNGp1FlsLBEKiggAtFb3RGGEFyWjCD5/7EYvdBT75E5/GYhmNB2hb0FneT63Z5eKFCxRFTlGA1k4SJ6o3WVxaIZlMGA37ICy6KJgkY4JQEUiJUjPmzsZihTM098CClAHWQqvZ5vOf+Syf+sSPUxMjRNBnogOyiWX/vgMoeZosK5wsTyCIRch4ol0wVEgCOZWDkkK6YHgVyPdT9+lUzmhdBtOneSwSJ7elhFPldbhA+S0hSk+U2QXVzApFUK5aPeAyiyHM7n2Pco0ViywDtHOyK7YM+vrjqWae7g+Hcbg+MAa8dJPFgnZAVbWo8OyJEliQYjrF9fUbzHQy6cEgmANFjDHuPiF8dr5BiPIzWxqpe+aO9eCLu/krIVEyKAPQlOCTO3cWD86Usl/W/ZRXjR5MfzclmDI7SVQlCCOsLYEaJ4G5vG8/xkrOXlin2Wzw7I9e4MSJEywsLmAs9HZ6rr3lPGFxdZF2u4O1kKUJyhparRbjUZ+1tf2oQHD69BmMafLQgyf56te/wcLiPlQQYqwljALSLOHi+kUOrB0gKsH+JEmo12tYBGmSkoQhYSAxRjDojxiNU8JOE4Ry0nBCIErGlAdGpJQlOOXGomfKaK2RSqCNplaLWVhYYHt7u0o0cQPAcc6zrCgDMS6gnxfaAREevLPumS/w4BYVUCXK84Q1KByggJXufJR6VsYasjQjCOv0e5v89E9+gq989XH+7LvPcPzBk0wGQ5rtRf7NV7/FocOH+MUvfg6Z50CBKBc/AmeQ7uaAHmiQIB0zw2jv3eX8R9zcy3nU4MHBSnJCYDCoQCKswGhDrgsQAhUEKBFghZuPIEBI5QCXWZBIumvSZ5Za6zxboGT3SOXGZTmH+LB8cMr7Zc00V2YCZj7j/EbWjnO3zfdrUPU2yg2r1N3q/u9Wu+/BPu5aeb+19zbbc6txnptTSNwj4rz7bzvzc3ejZqdAV/veLZar1nvtrW89oLVrGzsbvbweyHHV3+0URJr7/Mr2itnv3GRbb7jc7Pf2ON83W4E7dA+K+HD29Y/RLyneb5f1XkXMtHLqTHjvyvVzEqZwxd1q2ywQcichqt0Ay7yiwKwc1+wXrty3Xydg/TnyENbVI/jiOp/P1Y330xGlz58hCgp0qMgCi1HWsUa0cAyrm+mfmWO+6W59Dy6gmz282yp3IiHH968Po/j397p332C5aWDkX/yLf8EPf/hDnnnmmSs+u3jxIlEUsbCwMPf+6uoqFy9erLaZneD7z/1ne5U0TSt5IIB+vw9As1YjS1OyMrDvpYk86OBNW60AGUgC6wLbXkoqz/NKIsubjF++fHlOeskDA0LIUkbKdZnLmDcVwODBBWMMWZaUjBKQKkAqF2iKSi10MHhN9FlmhSjrjcpsVc9OACqZi0ajUYEheZ7P+XoURUFWsheMMYy890X5t7WWWr3upJtKI3MpJUEYuuxEnD67Cp3pp7UWoSRSKbI8RUqFCAS1Wp0kcWCLDCSmcMwBz0jxQI5nzXgGSZ7nWG1oNprs7OyQplnVn85jxVCrx4gsIwiDMmhT6vaHAXEtJoxCRuOMySh1x2wMWhuK8hXXa1V/WgtpmlXshiRNUGUgzgMSPtu402q77PSiIKo5nXFbBiwwlla9QaE1cRS5TNrSgNWzIEIVEHoDdqnotFpoprInHoyazY72/jbeeN2DNVnJ+FBJijGWKIpLgEkRhY7pkWUZSgZQZsEHSmGNIUtTCCT9nSFRFCMEBCoiUCFZlrvtrfN4kUGALjRBHDOepKSZxhrhtnFRLqzWmMKSpzmmsAShG0sYiwymcnGeWeSlxkQZGC5KKTJj3UMnLhk8eZIwwsXRPHNrNBk7UMM6eSNjCtbW9mN0zvb2ZbDw0AMneeqjT/HY40/QXlhEqYgCOHt6HSHqSFUnz7XLzhUFYRzy8COPcObsKZ548gneffMNzq5foNjcJD075rnz57nv+AkmqeaNC5c4fvwonYVFavUaB1b30V8/z1K9geiPqSea8c42wXFLPphQ7IwxOxOaIiRAUISSVBusgs08oz4acvCjT/LWt77Nu5c3OHD8BN979lleO3eWow8+QOeN19g5e46Hjx3l5Wefo/fOKR45eJSXXh44g3AZoQhIMotodMjDBqmFYHmZbDTmfFxjBGxPxpw+v0mn2aJXX+HCmW1++OLbnD63SWHg3/3zf56PfexJvvIHf8DlzcvsWz3AuddHXHz9AhuEXNqZcPKJj/KZ48dZPrhGa2mBRrOJ0RZTGNCOmZFOJoyKnEmSsr3T5/LWDmniJP52dnqVj0Cj3XQB6iInDAPiWpsjR+sYrRkNh2xvbZCMR2z0Rmz2BkShA20/+pHHeOD+E5w9e5qXXnyBrY0N+qOBIwYEIbVmmzgIMdagQkVRlCwrYzGF5qt/8q84d+p1PvWJp8iSbVp1uP+hh+kuWscY1COUzsmSMRYIQ4mSgkBKQlWCnrZAWOeLMZVfcter0RprtANkynsy1iCkIgyUA3a0QZjSl6AM8oryWZDrHCvL6a2Qbpbo48QWMHrKiqjko2Y9Lq6yIJlNRbE4ubDyO0q6+2CR5SghnQyZ1s7HwGfgVNW4KaJhapBtrLs/It33LE7eSAiJtaV3SVmPKJ9r7lmlEVI4WbGKdeL+k+V9zwMjzjy9bI/VGErWgnBtKmkDUPq5YIR7FpcgmRSq8mzQ1lQMoxLCcsbsONaJsRZtDEgxv74twSwXJPSdCHhZp7JNSkjn+aACMJTZ/opjx07w0quv8eprb/DAgw+ytLDI2QvrDIYT6rWYPEtpNToIadm6vAkG9q/up7uwgG01GQ/HRIGTcgukJo4Fl9fPkox7tJsNalFMFEYOWDYFQglynTGeTNjc3uLofcdotppUUmNGI3HzBCkCrBUMRxM2NndYXlwmK8ZoY0rQA/CgBZbC5JUvhptLhVU/GeMk5vIiY3llkQvn1xkOh9TrdbKicNYgiNLbRGBE2e8l0OjGlkZKB9hjrDuesv4wCAFLnruECKMt1rpnBKIE+iwYA1K5/kjzlDi2/Af//p/nu9/7JslgB2EVWSFAxPz+l77CQycf5OTJYwy3L1GPI0yRYsoEFaTbnzGggpLppRSBkhU7RCBIkhwhA1Sg3PbWMVoqZoiwSCHd9aYN2rj5nzMiCkjTBCtkxVjVxhLV6ljt56+U3/fXHwiUY6YI6TxkwqC6Vj8sH4zyXqyZ4OrrpmqxOLsonV28fxDKXRj+NxeUfv/u4wMRjXw/l3sNivj5281+8QZAkVmrjNntZqW3rlXu3P3g3gEGdi82x9w21wBiSgBgz+/t7shbae8dvTav1afX2dENnv9ZZG2ONXKHj+MW45c3Vebrt3O/vVe3TB/en/6+u0zlo+5K19+lUo2aEg2YQg+iXHoKSsdO95mdbuOL2KO+vfZxRRFUSYliroevsrlwvBNbtlQKQyg1UaDRoaYIDTa0WM28yt2N3hznovXv/2LFHs+Mu1XuRN/sNX/dfb8v17g3Wm4KGDlz5gz/6X/6n/LlL3+5yoC/F+Xv//2/z3/5X/6XV7zv2SFx6ZuRJInzUAijSk7DOvFrl3GcF5U59G7ja7+IqOSMZrJaPVvDG6T7usfjUeU/ked5ZXTutKAtQhjSNKsMymf12VXpXxEEAQsLCxVrwGffTyYTx4Ao6/WeEL4d3kjbswh88B2mAT0v+TVJkkoKwwfyvfyFXzgVhSYMI2fkbVz26mg0Yjwe02q3ymxRRRAoZKAIS5NvqRTNeoOiKBiNRpVmuLW2anO/36/ko5KyLd5c3rfH650X+VQ6zJuTevBpXPqPiBkmUF7kBCqovGK8ias7by6Q4E1Ro5LR4TOZKzZLua8oisnztDrH3icmnWQUQjhGTxiQFzmtWrsyH/dmy0K6gKbWBQuLi0zSpJLT8vvxQJuXpFJK0Wg05lhLntUSBEElSyWlpF6vV/3UbrcrAMgfr5KKoDzGxcXFStc+TdNqrIxGI+r1OiBoNltl/UXJEqH00YkqCTnPgMqyrGJIeZmVJEkc06ME4DzjyoF1U7Awz3Pq9Xpl1B6FkWOKCIjisALNCq2pNxoEQch4kjIYDjh23zF+9Vf/Q1544QWefPIJnnzyCbIkRUjF1sYGK6sH+Mq//hNOnzrH2tpBkjQjzw1hKNkZ9PncZz/LhYvn+eTTn+TBh07S6jYYD4/z8MmTbF7a5J133uG733uG8XjMOxfO88hDDxLHAc1mndUDhzjz6hs0ZJ2dd9bpJIp6FrDx3OvE6YRH9h8kyjVaKWQ9pt6OuXz2FGsHD3K40eC5V19n9cGHqR88wGsXzvIzj5wkatZ5+923OXr4IEeWlll/910ePXmSdj3m8sV1VFinXlthkudMksSxjsKYsNtEy4h+kjPeSUlsyHCUsz2coKIQ7AR1eUiRTti8uMH6+bPEtS4/8cnPsXr8IV54+xyyu58fnVpntblC8zC0G23qtTqHP/40QS1GRAFJljoJsMvbzqsAMEiCKGI8ThhnKZMsozfskYyHZJm7f66sLJJmOVmeV5kRPsNfFxopFGEQ0O4ELK+sooscawo2L18iTUacu3CZZusUne4iDz38KCtLK7zz9tusra5w7tw5fvjcs2xvXsZaaLfbtFpt4lAhsO5BLmE0GfPSq68wHPcZDXvUYsXTQ8lGr0+j0WRjc4e8KAjDgOFoCDhTdCkkEpel7kCKMrBfLlgrk2ptXKAfMTU/rkALx2BxsjqiYlr4R7H3IADHaHC+MLaqQzIrbOTL/BTYMwKvKG5n5R/WBWzLv/0z0Ev6SGlnnmllEH22zpmA66z3x26vidnPZpk001bgJMOsN9EW1feicOprVNVTst2ssSgp0WX/O5+J8visRZZAj6tLVfJS2rhxaIU7fm001hoCNU+19vtzgDfT30tKtsFgLARSlscz7SNZAkYSoExyMNawuLBEt9vltddfJ0kzXn/jLRq1GsvnznP//Sc4fvQoWZrz6muv8eCDD5LlKdtvvcXG1iZHjx1j3759GNxwUEFIniQUeU6jVmc4TqjV1PSe3WqytbNVmq/nFLqofMI8wJ6mKVGoqrMhpKQoNIPBiI2NLU7cd19pfq4AU44PUzIV3NgthzPe8N6Ncfd3kWu0Tui0O0SRA+qbzRZSlgxZWzJbrSXPCoLQJQ0IU1AYJ5cnUSAkRZFjLQSBKsGCch+FcRKP1gNhYIUgLwrH5lSKQAVYBFGk2Ny4zMeeepKf+9nP8cd/8qccPXaSNNFEYY2Llzb5X/75/8bf+I2/RrvWQIgCKUOsKRywpSRRFJFlBUXJ2lVSgnTsW20tqmSmFbmuRoXFAWPG6vL5brHCVAwrpSQG97ycJJM5nxt/b5FCYDzT11+nM0CotaJK7JidE31YPhjlvVozwdXXTVWZvVnfzWjLvY143VKZe6reoQDtVffx3kbhPix3qczPzMRN9vfNbn/l1+f+nAVFfPLN1b6z137vVgD/evXezH73bPeufc0BG7vactU6uLJvrvJzPj/hJo7zem24bvFrhz0CyP6/m0meEHM/rrFZyWi9XrtuouzV3Xey7IELXrnBe3Bv9Nfk7iE6D9m4n/eif+5ULHw+324WFGEOIPFY8JWgyDw4Yquf7re9Y+mlBL3/WYEjXFEXM/V4TFrgFB8soLCEyqBtQREoZKCxocUUILVFGHFzY+a9RN5upVgq9sXd3EdVbmdHs8k9u98ubyy3koxyU8DID37wAy5dusTHPvax6j2tNV//+tf5h//wH/LHf/zHztR4Z2cuA2p9fZ21tTUA1tbW+N73vjdX7/r6evXZXuU/+8/+M37zN3+z+rvf73PkyJEp8FHKqhitSZMEbWA0GlGr1RwgMQN+DIdDtNa0Wq3KN8EHrCaTCc1ms/J7yLKs8v1oNJpVgNnLdEVRTBSF5e9RJSHl2SreuFtrXflQ+AWuZ6h4g2wfPPaL536/T1qCPd7I3Ad1gpKZ4P1QgApUseVxei8Lz0TxgXcv49VoNCowxRm1J4xGCZ1uG4STPdJa02g0StDA9VVeFKggpNPpOJbIaIwt5s1tTQmseMkvDyjNBs97vV5lzOolmIqiwDJl4czKrGxsbFQLS8+y8WyaIAxc9inO9N2DL0pN9eVn+10F0/Pg/V3GpUyXD5TNMnm8JFir1SJJExCCJE0qto4xhkIXCBFQ5A7QGA6HaOsAKP/9PM/J85xGo+GkzUomzfb2dmWq7sEjz7pJkoROp0OWZZWniQdKfJ/74/La/L6/Wq1WBWh4wMjvp1arVYCGr8P7pGidV2PDt6lWgo8+OOtBr6Io5hb8/vcgCGjU6hXg6JlcWZax0F1gNBw6VkHZrlkjZAdYQbPVZDwa88QTj3Hy5AMsLS0wHg6wRmMs1Oo1+v0Bf/zHf8zS0jII7/FjGY1GnDx5kl6vx+rqfj7+Yx/hjTdfJZkMeOThB/jYRz7CZJzwUz/zU3z25z/Pyy+9wukzZ/nOd76NLnIWOm2S4YSmjQiFYrjeh0kKeUHv0g42ENQXWyigl0+oNQKOHDnE1vkzHNy3jwceeIjXL23x8jvvcPjkA7x96QKnzp7isUce4vt/9k1eq9WxO31EMqZ3+TL1VoON7T7ffvZFJpkg1QWTXFMohVbbiFoTghoirFNvLtJodEh1gRGK0WBCLRRYkyGMIC0Ejz31SQ4ePkCqc776vReZZBOs1pzefIMHDh7mxMHDDCcpRZIhRR85kqzsW6YT10mTlFOnz7G0vMyhw4d4+91T7AyHiCCkPxnTGwyxpf5/IA1WCTrtJlZAGMRYnOY+Aoo8p8gNSoHVhlGSAI59EASSWlSnVotYv3ieza3L/Pb//n8SR4pWs46Slu7i0/w//pO/xl8VMOz1+Oa3vsU3vvENzpw5iwwkC90VwjAmt4bMWpIk48yFDbJ0wiOPPsTLb7zLj370HI889kR5P7Qko1GVmS2EIAwClBAlE2IKZrjrpvxrxgB89mk8Z1au3XNIlF4bvjjmiKxAzIpPLMo6ym18uZavyFXBkRmJIg/meL8ND2TmWYYVU/NrF/Dfex+zP32bdu+3CvLKKRl9GvQ1VUC9enaVz6LKAH2mDs888ew3MXPvlkK4zHsc2KJUQBCEjiVi5ttkrJlr6yygM3+QVM8XDwxQdt9sHxvrvGwq6bGSceISGNx+jt13jFa7xcbGJvtX17DCJT2cPn2Kzc3LbF6+zAP330+SJLz9ztscOLCGCgNG4zEXLlxgZ2eHo0fvc/MDA2EYsbK8j/Nnz7PdGxIGEa1Wi/4wpVGvc3mzwCIdeFeOwX6/jxCyBIo0RZFhsWQZZFmOlDBJEjY2NhmNhrRi583jkjgcKF4F9aUCBRo9k+ThGCCBZ49YmEycr9Tm5pa7v5d+VMJ1U3UeiiwnLGnwWAc66NyQJSlSCoIgdHJbWY6QTgatKAyBLs+PMGhTIJV0Uz2c0TtCuOsSxyrp9/p88ec/zze/9R0GvT5h3GQ0mbCwsMj3nvk+//J3V/mbv/n/Iultkk2GWAGm8CbnbiElERhdYLRrl0vEcNJYxhiiMCwJTKVkVpns4uZ2Xsp0aiRf6KJ8PscVK3QKcmiECKo50qwxfRRFzrtrklXj2AMk/nr+sLz/y3u1ZoKrr5u8EeU9Wau/RwGBWw7y3EJ7q0X4B6S818mr72VX3bNjfw8O8ooA8A1nN9+jXrlWn9wykGDnr7/qp71y26sCQHsAGnPfs3t/diP+Jdcre25/4+dj99f3Dqzv3vpKcMjNy+0c0HKvh/C197d3OPxmynwsdjbUfuefhzfa0ruOn91guVPgiAdFpqlye/3cq9z8qJtZnc6s2Tw4Mgu0zGy3x/vlShi3nncG7EoYAmkIlEGGBkKLzQ22kFB88LCOmyrlBXG3nwp3pP+uckurQBH/8W6Q/DrlpoCRn/3Zn+WFF16Ye++v/JW/wsMPP8zf+Tt/hyNHjhCGIX/yJ3/Cr/zKrwDw2muvcfr0aZ5++mkAnn76af6b/+a/4dKlS+zfvx+AL3/5y3Q6HR599NE99+vlmK4o1pJMJuR5gcVWi8mlpRXM4hLjGbkohGB5eRljDMPhcM5/BKiCvrPsj9m/e70d12FBQJalpQ9Js5KQ8helC/ZHVcb/bFBYzgSqfF0+kO1lmXwgOopj4lqN5eVlOp0Ok8mEyWRSMUW8bJVfJPu6ZhfZPog+e5w+mK+1ro7ZsRbqKBVhjCaKQvI8Y2lpiTRN2NreqozMgyDAFpoizSrwQJTBqWazWYENnokDsLi4SJZlTCYTgKp9/mej0XBSHFkGwk4Br7KPPIDkg/FSygqY8YDQeDSpTO19QN9aV1ej0SQIFINe37UvmIIfPmjnGQ1SUrF2vAxWLXYa6lZAluduTBQ5/iZssOgS8NC6lHIpCpDO2N7LnoWhA5SGw2F13rx8VhiGU0m1GaaGB4C8V8wsMBZFEWmaOvm1KKLIC2rleHUAh65kOzzYNMvC8cBavV4jilyAZjweUxSWer1esZastQwGPaRS1OoOAPSgYxiGTht/PCaOY5aWluj1emxvbTn5l/Ka9DJwm5ubTJKJO15dkCQZQQlUBUIyHg4JSsArDkLCSNEf7LC8tEKvt43NC+JajTQzLC0u8e1nfsjGxharBw6xtd0jKVlY2lqa7Tbnzp/nr/3SX2F78zK9zUt02k0effgkyWSABdJ0wtqBfcT1Gp/5uc/zxEef4tvf+havv/oa/+rffJ3FMOaJo/dzorPEge4ik36fWNaYFAnvnj7FTzz4WYpI8cqpd1iqRSw+9AAvXbrIkcc+yslHHuP5l3/E4RP3sbTY5eLpUzx5+ChHmi2233iHCMdUSEYTeuMxz7/5OqlqETS6aMCEElTAJNfo0RirNN3lFloIzqyvkxWSZnuBWj1mtHWBmgIpA7pLK4xzzbsXLtEbjyAIIIhdFr4ueOH0JV586zw7m5dRqsCQsrTY5TOf/SzdhjuXhbT0kxFi8xJf/eaf8dY7b9NqdpyMTlogA4kIFVmSI6QkCCNUEFCrN4jjGvVanUazyVKnSxyEWKtptlt0u4ukuSbPCyehYyVZNmFxcT8L3SV2djbY2Fhnpz9ASfi93/9Dvv7Nb/LgiRP80hd+nr/8q/8hv/Ebf51Tp0/zL/7X3+aP/ugrdLohhbGM05wsz8i0M4ceJJov/sznePonf5I3Xn+dt985BRQuSxsIlHIePEphtWZqdDydaAnhJJeMBwl8sF+674ry2SKMoRDOd8rZFcwutqZZ4lWQXux+os8DBW6TG32SO/ZHaXm+Z/HAahBEjglUBrodRjGzlHJ0jF2gwXwWO9iSSWAqAFpAKXvk5Zk8QOJWWqIMjBtjKdCOkWDcQsxYg0AQhzHGOpBZKlVOzgQqnJ+mhEFQAVAVi0W6fB87Y37tZkJTlmYF3xjj8orKhIgpkDJttxAKyTSbTUqJ9HWVz444dsHuRx99hCzL6HYdg2I4HqOEpFavkWYZL778EmfPn2PfvmUeqT/CzqBfeYJNkgmTNGE8Tjh66AAL3bpjmEY1orCGQDEajVlcXGL98ltuLiEVgVJM8ozJZFzONVQ1v6g36hgdoosMo4uSjeokCofjEb3BgIX2PlTpjyLyjCLPnIePdWw7KVXVv87jSrlnngCjncyW1pp63SVtDAYD4nrDyTUK4dgeQiFQGF0wHiXUooBQhaRpgtZT9qSfu+SFZ3NajBaV/JbFALl7NsoAIQw5BTIMK9BMIBmPBjx48iQ/+9nP8kdf/iqL9ZbzF8s1C0v7+PZ3f8DHv/5NHn3oBKPBmFAJJA6g8FT6WWYG4PxBUGUCpijBjQJtnMeQNQZrDEaYEjhzEql+kaVKKVCl/HdllUDjr6sqgWX2/mAF1rgEhiAIqrmTf54OR+MbvDd8WN7L8l6tmeAa66ayVIv724857V3eo6jPHQNFbqBNc/v6AERK3rP2vtdozO5yV499j8rvVV/7YJDFTX3slXH9Xektc9+9p+Vq+7uRdogKEpl+51qgyNXqvZo8VrWt3TNmK64HitxyX86ElG+xjt3Lhun0fj6cu9fywjFCypx+sasJN9SeW3+Y3L1gs18X2bnWiZnPhLV3P0v+fVhs9br9wTsFRa78vptb+7p3fX4zQ6bcVlTfsVe+afdYB1eb2PKSvxIO8585SVyLkgalNCIwEGoISha5EBUb5YYviQ9SuduoT1m/u+7uUJ3XeJbcdcZIu93m8ccfn3uv2WyyvLxcvf9X/+pf5Td/8zdZWlqi0+nwG7/xGzz99NN86lOfAuDnf/7nefTRR/nVX/1V/rv/7r/j4sWL/Of/+X/Or//6r19zEr9XybKchW6XOK5VDIcsy7i0fqliLHhmQhBFRNFUZspn33u2hw/8eECkYheUwRMvGeQXsjs7O5X5uZe8AvdZkiRsbm4CLqBSq9VKqYas8jPxC2HPJphlVWRZRrPZpNFoMB6PKwaBlwEbjUbV316Oa5YlEpZm1t7zQUpJs1arjtsDIuAW+z77UAhoNOouKJ+n9Pt9mq0Gq6urDIfDqk/yrKjMVrvtNlEYMZlMMMawsLCA1prLly9X2/sggJftiuOYZrNJHMckScJ4PGYwGLhzZqbggJdq8nJjHvTodrtV4N/7xQghK9ZJq9WaCz6kacLW1og4jFwQxuo5wMizZoJAEUVhBcK0Wi0GgwGD/oAgCBgMBhXIFZbB+1qtRhiGnD19ppLNwrjrdDJxbI9AOaZMHMcVuOGZG55x4UGQNEmcp0ua0mg26Xa7jMdjgiBgaWnJ+ciUsmudToed7W0mSeJk06RkMplQFAXdboc0zarAlmeLgEVKQb8/pNVqlZ85Lwg/NndL6KRpShTHLCx0q3GWZVl1HW5ublYMqUuXLjkwql4HqCTWvDRbs9l07TAWtAtCttsdisKBOf1+n1iIUmZtjFSSffuW2NraYjIastDukucFWVYwGo/40z/9N9QaDQbDMXkJBI0nEx544AGUknzsYx9jeXmJN984RxQIjh5apV4LyPOMQX/A8v41rHBBw+eff44DBw/yy7/877D+45d4+Ucv8INvf5dv/PCHXFxa4fGHTnLk4AE2tjcZZyP2Hz/GMy+/yI/9xKfYfvNVXnrrTR78yBO89MdfYf3CRR4+/gCvvvQCm2fP8cjhY5x97VXe/eGzfPTIcd547kWazQ4joxn0xnz3hefpC1g7vkpmJSbL0LnG4pgZLpJccGn9HN2lgqjWJIxDwhiyLKXWDIkEjIcTwnqINYLheAxCkOUFRkvCKMISEMQRK2sL7D9wgO3tC9RrEAWKbreL0padnR1W19YYJWO+9o2v873vfQuNZDIeo7PCmR7HIXE9Jk2z0uvHT0wEQqrSgNjS6XRY6HZptVo0my3iWpNWd5FWs02tXmeh0yUMJFmScObMKdrtRaRSrF84x2jYY3FxiTQreOGlV/jhd58BYXjyqSf54i9+gU996lMcPHSE//NLf8Tl7XUIAtrNJfIsR0vF0v7D3P/gIxw9uMyl9XXiWkxaGGr1Ov1+H2s0RQkOmhlzcospx76uZnRXSN1YW02oEVNAQ8rStHsW+Ji510rpfAuqhZ21VXb9jZYrWSOzaV6mmmTOSl+5vx0obazBarcQ2GtC6o9zFhzZa79VAFnMH8PuQxGUmfR4k2lZseWm4Ip7/lkBSgUVOA2uzXlRYIULDGPcc9z7RVVdsGulV9GkPWNFyGlwwJorgOgqJg2o0lfEll4PHjDyJvCyBPUPHjrIvn37yLKctQOrqDCiMNoxD8okgTAM6Pf77OxskWUZTz31FO12x7ElwpDFpUUuXrxIkU44sLbMkYOrDAYDhJAYDXmuieKYZDJxIGSgkEpQq8UURU6STJBS0Gw6kCJLU+ftE0VMJpo8z9B6mvCxtbXFfYf2T1mZfmwXrl+MNqXsmkIKJ4FJyaTShZM8LLKMVtM9Z6PIPf8R7jylaUYUhQjlAOooDB1LpDAYnTt/EKkAWarAqXKe5eYHbtx55o8ufWEshbYIUc5VyJmIMRIIogitBZkR5IXlZ37qp/je939EkmWEKiArUqJQsrG1zZf+4I946MG/gbGSJM2QWKJQIlU5MrR2UnflGMlSN1fyjA+XDJJT6Hxe0sraklkDSs0DbLPXoJSCKAqdzFY5P9LMAzLWWnIzlUP1CTqueZqinOd9WN7/5f22ZgKmsYldj5D3rFxl37e9Zr4Dx3TDbbhJEOg9xwluOOniTu2PamLwnh87cE8H/D3YVRXr2+sD/5ptz9VYEPei3CAAaXePlOuBFnOf7wGO3Agwcs022rmp9q0BO9cf/Td1ae6Ndl1R3zw4stc+7BwYIwQVg2RuH3dhnMwCFdfbhZNgmgfEbrxJUzbB/B7vfLlTNe8BI9zlcvN7mz0de4p+2fltnc+It5K//aO7Vl/vtpL37XPg31QNYLYuIRw4qIRBCYtSGhkZTGpACbfeFVRy2nZ+B9P2zB6avdfn8TbKrnbftfrtrYEWV5S9cPDZZ4D/+yb2ddPm69cr/+Af/AOklPzKr/wKaZryhS98gX/0j/5R9blSii996Uv82q/9Gk8//TTNZpO//Jf/Mn/v7/29m95XGAaldIFxx2wsgVQkJYOj2WzOBH8LJqMRhXVSWJ554V8+SOKNRD07wbMwhLDEcVgxMbzBuwcWXD2OBRCGISsrK1WGoQ82e9AFXAZvrVargsyzWfx+v+PxuApQeVDFgyQ+SBXHMWmaVmyN4WDgTHLL4JxnKoADJFqtFsYYtra2KIqChYWFMoATVLIaeZ6XQZUJAjsHVOR5jtGGWq2OtA6cKvKiAhiGw2EZ1BG02+0KnJrtB99HHmjy4yJNU7oLHUajESsrK4zHY3q9Hjs7O5VHixCC/o6rz3ub+H5TQeB8RFLnieH7BwuBVGWGa42iVKGYleqq1WqV34m1tvJXkVKSFTntbocwDJkkE5I0JVSyYmYsLCywvG+FdEYCSynFSnOZyWRSHe9oMGQ8HtNut6HM2o7DiHSSuKxcC8PhiFarQbfTptNxfTEajZBYdrY2qwzbLJlwemuTTqdDs17DFFOW0/79+5hMJmxsXGJ1dRWtc3ejV+7u0O/36Ha7JUhTI88zF+wpQZd2u83Ozg7NpmPaGKsYj1N6vV51XqMompEsUxXgs7S0BIA1htHAgWndbrcC/SaTCWma0ul0iFUEqWE8HpGmKQsLC9QbdQbjIUK6gGocR0zGI9b276Pfj8kmTn5laXmZ0STlzJkzNBpNCiMQaUaSFVgEnW6XjcuX+OxnP0t/2GMyHpb3igJdZGA1+1dX6PW2kEGNIJDsW17k/JnTCATHjhzhl3/xF7lw+jRf+p3f4Rtf+RP+1Qs/YPnyCof3rfDLv/AL1NtNfvtf/u8cHvZ55NHHeOOtN1GZ5sGjR3nzuWdZeQr2KUV27jxrq6ssJAX51gV6GxNaWhIUAhXEbA8G2Fqb1YMHiBpNhlvbLgCW5xTWYpAUxmKFAitJRhvUTIq2iu310wRRiFIFNhKoCLQtCIKIGgJtQRkXyLW2wBQFQlrWFhc4ef99bPUvs29/l1BKlDb0NreoSYWejGmGAZPBgLUDaxQWEIJ0kiJL03JrtMu6VgIpnEeHthqrc4IgBGvY2rrI5uXzVaZzXliiepN2q0On3SUMHeh58MBBDh86hNY529ub1Gs1Njcvsb5+AWM0C60GjXaXOAx46aXX+Po3v0FhDe3OIlJFqChm0B9x+dImS8v7WG51OHrffcRxzHe+8x0mSUKj3mB7Z4C0lkBCLiSNZp1GXCMXGQbHMMu1RvqVgw8al3KNMAMQWJc9gvWAQQkm6OlKdM4Abo4tMjUl92UvhsgsEDH7+TyDAygNxueCXrZkRgg3AZRMfbLc/t0yZG6/Yn6fs/KP0/1OgR5jDHnJ0POuHNZOJ5fCXchY69giCDMDsGeIEiTpdDrV825xcbHqYyklupTH0loTRRH9/pCVlRVGwwnD4bCUVPTeIQFOxstJlskZjxEpSsDDs1n2SvrzIIpl7rgdUOy2UaEDFOJ6jYMHDzqZq36fdqvFvtVVejs7DIcDJ+tYJgx0u13CMOTd06e4vLnBU099lEcfeYxXXnmNT3ziEywvL7K5cYlkPEBZQ6fdYqc/JElTFlfWGCYZCIiigCLPMaljdkqlMMb5PXkpyJ1+DxVIojBAZxmhUiU7zzIOA3q9Hls728RhgJphM0VRjCznDB4o0ta6eVWgkDJABI4FkUmFKgFuxyoUSCGIgqDKDCuKogST3DPClKCKLOcTWZaD9YskyAtTmqwrzxvBCoFSIYFUFNqUcpsa5eA2xywylkApsrwgTzOOHTnCJz7xY/zRV75Ot9N198dAEFLnpZff4Et/8Md84fOfJR1rtM7R0qDK8SskWG2QYjo38OPQWo3WFmN16WEzZXxIGWI9i9SKCuzxV3iz2SRJkopJDKBNTl4YjHHsVCkEWht0oUE68Cg3mmwyrhIw8jwnSRLY5Z3zYfnglnu5ZoL5Rbt9Lxfsd3PH16n7uuv9WwlO3uC27zkwcK9Bkdn93kQCyF1rwz3d3z3ez65AdiWnVb7s1b5zr8oNgiJ7Mzl2Beqv5idyNeBk93s329bZt+4SKHJTZTfocyPgyBXAjqWa0gsXSK7m7pR/39lW79W6CgS79r6m0Mn0/5vd09XqfP+Wu4FH7X3EN7cXO1PR1Vgi05/eaN3Nj6vfr96YuVbdyhmacRxxHqJ+3Dhsg+mwt8jZ68OC8msPaVCBe5nQgHTr2dKUdOa4p2v7Pdsq3uO51q2WGwBeb6vuO4UeMjO1KO9rFehyC/jbbQMjX/3qV+f+rtVq/NZv/Ra/9Vu/ddXvHDt2jD/8wz+83V1Tq9WroPisPnMYucWqD8j7bP8gCJxRMU5vF6h8LmAqoRRFUbUY9h4U1k7NYp32tKq8QfI8LxfHqvKOaLVaLtM+iipwxYMpPgDtQQghnGSCtZbJZOKCiKXZuAcUhsNphr9nDHjvEg8OxHFMvdGgKNkQnpHiZaPccXhpjCm7xRhDvd7AWpfR2Gg0GAx6FevEm517WYc0zajVYoyxJUNBV5JPk8mEer1OFEUVQ8K3wbdnVhLKs0KiKKoArHq9zuamC/p73xVjDJ1OpzzztgIz+v1+2f5S7spSZbH64JoP4Dt2jsZYU4E03i8jTdMSnEkA51Xix1QUORBtZ8eZN0dxVIEWxhj6/b6rrwSHoAxAGl0xhfx59OyXyWTCeDyuZM388bvzWlTeI7OSPo1GA6A6177tGxsbZRZ2VLVHa83a2molpwU4wEpO6wFLmjkPkHq9XvnnLC4uOtmdMHCeKtg5z5ckSSoJLy915vs4DEN6vR7DwYB6XKNer1fMHX99OT182NnpYYyufElGoxGFLrAlKCKlkyrxTJXxeES31WE0TphMxrzy8hsY4wAfC1ghEcKysLBAnuesrKxw6NABnn/2GcaDPmv7l5FScebUaQ4fPsi506dRYYhUOY1Wl6OH1sgmCa1Wm6XFBdLhDq1WzP/zr/8nfOEXPs//71/+Dt/4/nd559WLZI0aP/szn+HJH/8kr731Dj/28KO8+6OX2X79HT525D6eeflPeXX4DaIiJRSQG+giCcKYbJLRbC9yfjCk6HTp5YKVow+SRiHbvT7bW0NUGDiJNgFGGJI8R1tLo9mmMBmDwRZRGNOqxUhpMFIzGTs/AiUUo+GAWr3BvuV9aG3Z2Nh0smfdJg8/8AAn7ruPdrOBtQn9nQGLrRbJZMz6xYuMRkOG54cMxkPOXDjD4uoSFy6towuLrLnrVmqLzgoC5fpc44J5SkoKrdE6LYOgoI0my3NEIcjSgjQd0d/e4CzQbLhg7o+UYmVlH/cdPcahwwdZXOiwun+FTrvN5tYGRZpgrGWSaxqtDlGjRoGl3ely/IEHeOihR2k0OrzzzmmeeeYHJElCHCjOnDnN7/3e7xEoSRg5xpS/hpRwpt/auGtWzgTjoVx3iakxsrunOqkcyzSIPsuokFK6kw0VS8KaqRm6e98wGyAQUJqMX+njcbVypd/JzJ9iZs5RMh38syYq76Xem2O3VFY10b1mO0SZUSacLJXWoBRIWT1DrpQDK4GkXTU1Gg3a7TYnTpwgyzL6/X7FoJtMJu4+mmXVc1RKRRzFHDp4iK2tHfK8QAgw5QH7THrv9zBr1ef9ONz5FQ608X1QtlVIOeNN5fpRCTcPUBKslZX0UbPZZHFxsXqG1Wo1er0dnnjiCYbDIf1+j+FwVN67xjOykBnf+ua3GPSH7Nu3jxdeeIH7jh5mYWGB/s4OZ85doNWoY4xAqpDxJKn60bMbwzAgCBRZ7v72Xk5AKUml0HkG1lKv1wAXdM+LoqxPEYQhCoFjGTkvFwFVXxun0ObqzItyfimRygXyJ0lCPXLPFp+8Ua/XCeN6aZLuxpouCjJjiAKFVApd+m5I6Yzesyyj0NqxgsrAhRu27hyFYYBUIcJ/biWBFGXylnFzMyEIlHTAd57y0Y88yXe//zzD4cgxa3I3fxj1t3ntzXf4sY99jDiAQEjyvADttIWtKJkbYgoaihKwKApdLZ6MNiUDS2KtT2oRSGExYrqU9YkgOzs7leSq94zT2iX0CBGULOKAJEkBXTGCvQfX1A/OzS/TGcbmh+WDVd7LNRNQBefFzO/v23KnIwm3Ut+NfGf+8XnjFX/gIiW3Wd4rUOZWy/tg/F09G3rX59eo282CKqe0a7frTt0QrnWsuz6zNyJNtRsQqSKbu1KGrwBf9gJZrl9E9d+1NriF4PxdBF2vWuyu/c6CIkwDxP6WJJmCIvcKHLmxvry9SO3dABmuWt6nmMvuleOtnF0PaMzDWWL+c+Yw2V3fvvF9Xr0Lr1JPCW7MGbBf5Rbg5t+U14fbSOLWk8JapDQoZVCBRiuFVVPJNV//3P3FzrRp9z31FuZaexLaZuq9J8Nr973jDtZ7xy7GXXV5UGSOkXIT+7rjjJF7WYzWFMJl400mkwpkCMKYRqNRyf0kSUKz2ayy9RqNBr1erwr0h2E4J/k0a3LpmQdgK5DESWgFVRZro9EgDEOXAYmT4/KMkzzPKwaBz7D1fg8+wDJrpO0D0P5YPPjhgZBZk85Z0MFvPw38MHcseSkV4wPq4IJIXt/bBbqjUn7L+aI4L40MYQxp5oIuzpy+YDwZo2RQZlK6xZ1nvQCVD8poNKpMR32bfTs8uJHneWUU7rf3ZvbeyH7WMyTPM2q1euXVUavVaDabbG1tlX/HLugw0xcwBYq8j0mtVmM0GlX96AEMz6bwgbk0zTl48CAANWuhDPzFccxgMKjArka9jhRyJpjhAI9ZcEwIb5TrAIrRaMTBgwcZDodkWVaCE+6y9IBFGIaVB4oPwnkwxfeX94lJ0oQ0ndBqtRyTIxmX8Lil1XaAiJSSvEgJy/3YKKxktIAK6MnzFLBVH3sgrd1uV7JmPlDnpXEGg0EFMvnjHg6HpV9NSrfbLYFHQxgGCBHSbrcrebjxeEytHhOWgaEkT0iSSXl9Z6RZhkVQbzR5+dXXHJsiK8iNRUpFmuUsLy8zGg35qU//JDs72xijUSrkoQcf5oH77+Py+nm2NrZo1OssLa+Qa01RuOzy44cPkKcF7ViRj/sYnTHUY44eO8hf/41f44lnfpw//IM/4vsvvsxrr7/NT3/6J8jSApMWPHb4PrbePUcQN3l8/yrbG5dpBgprChgOCRFkCAbGsG95CRvXGQUxEDHKM3Z6KfkYRNBhkqXO/Fg6YKRAghIMxmPqNUGz3sSawknRINE6wWqNsSlpVoCBZFTQOrDG4088wYsvvcy+/fs5sH8/tTimHguXnS4k2STnXH+d8XjAK6+9yuWNdeJmzGZvk1zkrG+vE8QSGRiyNHWmz1ZitXamyEFAkk4Io4gsT5w/AYB190NLURpLW4LAkhcTrAYrBL3tkZPtEZLhYJuL506zsrLM0aNHOXjwII889DDj8Yj1S+tcWr9EmiYUQqPiOmBYv7zBmQsXefbZH/Hv/bu/wr/z536JT/z4x/mDL32J/fsWeeuN11i/eIHjx48TIqiVUmu1KGY8HtFodNx9WECWFyUgGKGNRpf3baud4bbPUtK6IIxqUx+nMmjpjc39vabyKCm3c/d7gS5mzeIc00bNAAlXY4lc5Sk4/VVAyVWemzCFKiAvnyPNttvQSfzMmI7PgCOzgM8s6DP7XvVZ+WxEgCkD4UJMmYFToGJmESacf5Is7xFSSpaXl2k2m6yvr7Ozs1M9U2eflSAZDocoFbK+ftk9HwJVEnQMQkwZLtYGOO+I6YzJy3hNn3/zwEgJFYG1OM6CC94HShFKhfOKmTI6V1dXabfb7lnSaPLpT3+and4O77z7LvV6zMLCETY3N9ne7lVgT57lhEGEFJoXX3yR1dVVHn30EXZ6PbIswRQ5w+EYKSTtzgL94YRCa+K4RhiFpHmGUJQeV07CzD8XxuPxHLNHlqCCe25q5yNlDJubW4zGE2pxgFSKQIWlx4gDSByryCUStDttJknCzk4PKQSBEnimk5JeZjSqAA6lFEmZMIL0Y0AShAFCWIzRSFlKJaYpBpwfCYaonFNZDKryTHHnyBukh1GE1QZMgbHOl0pYsMYQBrJkYBScOH6Mxx55kO989xmkqIEKSNMCGdZ49Y23+ca3n+EnP/kxImWQVqOFJgqEA3WNlxLTgCyTYSLHdPHjxYrSfN2S526OKGSEsQKtC8cwE6DCcE621V9jRVEghSrnKAFZVgBFJVXpk2Sm1/9U3tIBYR8CIx+W2ysfeE31W2z8XDDhDgYp5+u9zZ691UD1B/mE3lpa8HtT7tF+rwp62FsZx7u/dJVynQD7TZfrXTe7mR9zv8+kWc/+7QGROcBkj93dIihyK9+5o8HD69V1I/fu2XjtXvFjMbNhGSMQcsoYkdhy/nw9cOR9GP1/P5T3cbdMz6r7eevlamjkLCgi9gBHdlVxC3115dfKZCZmQIuZT678/lRO2oGBAp8LJkufEe81EgQGHRi0dN9xiXR71Fy9J/Z4/yaKT1C8ynV+y3OYmy13A0n0jb8T9V6jrspwXez9+bXKBxoYOXf+HMtLS0ySBKVcQDoqNZlHoxHtdrtiSRhroGRJDIfDihHgF9x7SVgBM5l6AqUChJAEQVQtUGeNsMHJTXlTbA90eK8P/x0pBUVhKrP1er1WbefNPR2IE84BKbNeKNY6/X7P1Jj1zHAoqKiCUkVRVEEh/3uj4WSo+v1+6U/hxCncd6wLOBnHNih0QRy5YFdeyn55wEJKAag5nxQXvHKZjbNyYx6k8GwN/4pjZ9LtA2ne1NZLT/ig/SxzxzMU2u02WZawsZFUAJEPqkVxjC7BLh+YCMOQvMiqfvGZmT4705iikjfzTIZARaRJ6vpeuFig90XxbIyoPKY8zx0wIFXF0vHm8X5czGqGB0HA+vp6BXZ4uanFxUXA7ader1cyVrNAWJIk1Ov1ilWjyzEshKDXc4yfZrOJEII0TRkOXYayl2PzwI9nq/jxg7BMkjF57oCidrtNWAZ4tC7KTF9dgo26kg9rt9uV705cZhJ703UvK+c8cobVpMyPy2azCTgQM89y0sSBcxaDCZxmf71WRwUBQRTS6w84d/48UVxjMEyx0gX9PIikJBw+fJCd7U2whqWlZVb3r5FMUjqtLtJYkmTC9tYWrVabQEgyXdBtNbg8ukQ+kdTiEGRBrRaQJAOCsMZnn/40H338o3ztT7/O7//e/8kf/uuvsLK0wGJY46HuEmMruPDaGyy32zRKHXltQKNQ7RajScoggqDToh9EnNkZcinN6SWa3AbkIiZXTl5GCIPQBeiCWDjJmLzISYdD6lEESjJIhygpkUaDNmhhKcqxWpiUs2fe5fCRAzz80AN8/4c/5MihNQpTsD3YccE9GdJodbl06SKTQvP2+bNs72ygAogihSkyTJGTpymhkMTGEgUxQgbIdgeLpTCaRr1ObgpkXgKYWpdmzU5qS5dyh7V6TKwNeZYjVcB4NC7JE5Ii1+xMhvT7m1xcP8fK8n7WDqxx5PBRjh29j/2rBzhz5jRbO5uoQNDbusQkcVnqvZ0ev/3b/xvJeEKn0+Ijjz9CMunz+msvceLEfdTrdZI0p1Zz9xZdFJjy/qakIMs1uijc9UMp+1TeZw0WYx3zQ8pyslKafRtrphNAC4WeepV4IGEarJ4CDG7y5uSHTCnLczM+I9MiqFw2r/J9UxpEV/I/UiLMLqbITLlaO6bPnhl/ESnBaGdeD2ANWjsJJVECyIXWbiEnpRurpX+FB4objQaNRoN6vV6xJweDQfVci0qApNBF+YzWziOmmvnYuUOvwBjj+2R6X5weR3kse2RQWmeCMc1Nsy6grwKJUiFCOO+ATqdLod28YjAYOm+e1VWWlpZYX1/n/IULhGHI0aNHSNOUN954EwvVc04IwXA45Lvf+w72xz/Bgw+cYJIkTMYTarU6F9c36CwsIlVAbzhwbLry+VfkRdl+g7FOqrHdbtNqtSh07uQRsxQpVTn/cD5S2hi2dna4sL7O6v4lRkMn01gv/b4ETqIUnHfR1laOBYJyXuDYKM7fRSmFLj1JwBKGQeX9JcpULJ/IYayurgNrDCoMHLu10FhrnBRVNRSdl4u1pvyOxYoAqaRjAglnx26NwUrHKlESpJDkumAyHhE12nzso0/w/HPPYXSOkhFpljkZsAKe/dFLPPrIw6zt6xKpkGw8oF6L0NYQqNCBRMJJs1ljHHAhXGKNkAIZBGWfAHgQR5UMJgeGGqPnWLqz16P3RVNKzs0NpwwV74MmSgN3Vc1V/ecflg/LLZf3aTbrDZdbyL7cq44bKTetg30nQRH/9+0GtD8I5WbH5PsAFHk/XUIWrh5Fu2ZkkjsbALvBLN1K+nX3trsZIXNgyK6/Z7fnKpfeLYGfN3dm7yUocsMAhZj/1VY3smmS0tw2omSKiBII8WDJdQfOtf7+sNxuuVu3udsHRXy5kTr8emsPiO1Wh4zwJuiVc0hZnS0fJSU6YoUD++ysfsD8LUWIMtmJqfOJFBYlLIEyhEqjlcEqi5YgPIKyKzA/XYfeJsuqqvtaV9+9u9buKGdspt9uu9bpLW3v92c+vpl53AcaGKnX6mxsbNBsNZFlgHs4HBJHdRqNRuUbYa1lNJkQxS4A3Ov1KgaGzyCdlTvybIlZLxFXPLAxDRJ5MKAoikrWytcRRRHNZqPy3fDeJVnmgwGujjRNZzTMHZtBF27hPDX1lRXYAlO5KO/14IPTWVmXD7wAVbayl6ryAQoPCkgpKfKCOHL1BmHA4uJCFdRL04QwdMCMk3+KKrZCkiSsLK7MBZ7iOHZskxKs8TJXvo+ttZWXizc69zITXkvbs3d8uz0LwQV6LO12C6Bi46RpUsmXeaaJSRwgVYvrldeHN7v3TCAPyPhz4OucZdWI0qB2lv0TKAc6+D4p8mIarDIWbYo5UKwyHYcKgJNSVuCLB+Zcm+KqX3w2cKvVqsZrFEVsbm5Sq9Wq8y+lJM9yxpNRNXadgXkyd97H43HF0PEgoRQaY6YSaxZDEChqtTbGOADPm8N3u22yLCWOoxIkUVUbPUvKHYcB4T7zIJcszeGTJKHRqFdjezgcVn3g+0NrDcK6bObCjZ0orqONRUnBxUuX2O71QQTkRhMFNbQuaDYb5HnOwYMHcAa+BUWec/DACaRS9Hs7tOox3e4CcRjSHww41zvP2uoBolCRTsYsLXbY3tqk095PYQVI47K1k4yFxgLN5SZf/Pkv8MRjT/CN73yL3/293+FPv/cdRkeO88DCCno4ZHswRAU1JmmCDWJyAprtRXRbMJhMePPceTYnKRv9hCQDJWMnz6IENgycga/OUVIhTYDVOcYUSCtIdEY6GVLvtEEaRumEoBBEVqKx6NwFcfM85/LGJZ7/0fN85rOfZWtrg9/9vd/j0z/9M1gpkSpAGOdHUljFYJyQ5O7eExhLPhgQGcOhxQXqcZt9i4vU45hmu81Oqnnn8jYyDkizjFq9jpbuuj5z/hx5URDXm25MoDh4+DD1OMYaw87WFulkgiil0sbJGJMXjCcTSFOMNoxHQ86lKZcur3P+3DkOHjpCo9WmPxy5YLSU9PtD6vUGaZISqIB0MuG1V17i6NHD7FtZ5l/9wZ+UrAFYWdmHtROMdWbQk/GYelwjDEIwUJSSiFK4+7AxxslE2akpsgt4ugCskC5b3OBeVlCCJ+UES0xnSp4t4RkNSkmsnsprCa4ORtxQudrkoCz+fq/Le4AUpeF2yYK5oi5LdbxXa1fFJJESKwWUAWwAYw1OtmpeWtCDoLPSip5NuLm5yWg0YjAYVFKL/nkahSFYi8QxfoRQJGnqkhRUSF4mEvjjdAs/1+FCUJ2P+Zfbv7ElNVrMSGsBnoHiptkGIafsTqUkrZYDIfKiIC80Bw441t+lixdYWl7m/hPHWVlZ4Z133+XSpUuEYciJEycY9AeMxwk7OzvVc04bzQ9+8AyXL6/z8Y9+jLzIuLSxyeLCMpc3NqmX3iVhFKKswuxMn0/OLF1XcpM+EO/73D2vHIjnmKmGLM85f+ECT3/y4wgUg/4OeaEx2oFaw2GfIAjc3EApBwRI9+wV0hmh+0CKKcFanRdY6zzHVBi6PjSULFJNUTKLgkBhsGR5Tj0IUEFpwC6n48ziri3PzDDGgi3QhUvCQFjH9vE62MLJ9Tn2i3LPHlvw5KMP8djDD/DiK6+BdYkHtTKJ4PS5Czz/0svs/+ynGYxG1MIAY6HQhjAOCIOglAh1yQpY65ILRmOCci4k4ul4UUGAQFXt9nM2A9UY9/PIWcDUlteaT9zwc1Bbzje8fJff3s8bbut+8WH5sMAHFxzZCzi4U3XtKvPdcwM7upNtuxv1vN/LB+g471nW7l7lWgCA2CMIdDev86sd+zVBkV2f7wmC7GKLzH5OCUZczTx9rzbc8Dm6CoPlBnZx2+V6oMien9/YyRUzEp+7dzl9OZaIEHuGsPfc756hW/H+vJTn8LUPQLkbCft3ZA83eT8p09Nm9Q1uoexxUyuTDMtFGy565UdyySCZA0fml8t+/SDKzz146H1JlDQE0hAGmkJptLQOPbwaU2EXaH6929P1D/fuj4Drt+EOlzt5SNdin9zGxf6BBkZEoGi0mhhrydOUC2WGZr3RBuFknzrtNgsLC6DcYtJn2bdarcpfwzMHhBAVm8EHFXyA3gfkvTSFY3U4Jomv00lzOMZHHEdzgfZut1sBBUWZmez3NRqNKtbEZDKh2WySl4FCL/MVlJ4jXq7Kyw55oMEXqRSqXGB7iS7fBg8ueDBkloUgECVTwsknebkp5wERzwUIi6KgZh0AkkwSBoMBQAUyFEVRHY+UkvF4DFD1u5evyvO8CsZ7oGc0dl4qQMWgiOOYXq9XZlFmtNutijUBLmjg+szV0Wq1GAwGVRAhLzIQlnqtji6zjuM4rnxeoijiwoULrK2tEQSuvY4B5EArjAumKenMmimzmnd2dkiTlKhk9gwGA+q1Op12myxzBvCtVoudnZ2KLeEzR2cZPVrrKkPagTsT8txUDB9/vpIkqdgka2trbGxsOMCg9MTRpiBJErrdrpOqKSWuPAjkfUSEEJUJvM/AFtK6rHmtCQJVmWV7MGcw6BMEqgrYeOmxMJRVlvdwOKyYI1kJ4oVhWAEiQRDQbDZZXl4uZbpAa0Or1WY4HKK1dUBGUThdeSEoCk2aumBfkedoa6ipGhcvXmKcpIRRWAVKtdYsLS1RFJpDhw5QFDlpmtDttjh0eJXRaAAYtM5JdU4YRuzft5+LlzfY6feJ4xpR6MZbvdlgc2uTA0fXuLy9Rau1SKfTIhsO2B5l1LoLfOZzn+PxH/8xHvvkj/HP/uFv8fWXXuTyyhqffORxjC6o1esUSYoNI0YaTm0M2LGWjTTl9OVNiGsYq7BYlACMIRACpEYKEEogjEUpUHGELgTFOAWrmYwG1BsxIZYkL8A6uaRCZy6rHElh3Fi/uH6Bd0+9y/7V/fzL3/k9BmnOw489TruziLABOjcMhz1sZuiEDbLhRe7ft4/7jzzIvlqNbhyx1G0T1AK6y0u8+NYbxAttXj51hnE/J67VuHDhIr3hABWGqDAiimIOHTrMw488ztlzbv/ZOEEYQ6PZIM9y+tubiEDQ6jZBgin/WQXGFFgrKFLN+qWL5EXBwtIi29s7COmA0WajycryfrY2N9m6dJl2t81g0GfY2yEZ9Thz9h2e/tSnMIUhTdIZwFlQCyNEFBBIWWWmW+sC4D64qa0BW0pEYVFCIpWcAcod68Pig5t7zRfdlNBaSrahA0st2l13AiclUH3x+k/x3UHRWR+PeRkumBrDgy40pigIwymby6+0KuBnjlUxW/c0gOuBhwoE3bVaE1A9pwSSKHaeWVIFWARxzfkOhUHpk1FoLqxfIstSrHUB/Vgq8lwTBCFFYVAiAOFgKB901tpWskO7968QmBKA9oCyELNG6iWgNdOHleyidQtDpVxQ38tLqZIBFoYOkK7X6+RZQZKkRFGNP/fn/h3eeuMVfvjDHzAaj9i/usZHnnySjY0Nfvjss0gpOfngg1w4f5F6rcFwMGRSGmtn+YQfvfAjdra2OXb4GPv3rRJHTer1Jr3+gEa7yc985mf47ve/S3ImIQzCkvkjHBAlAQxZnjAcDGi2mlhZjhUlGScTwjAgjkJUs8a58xd4/fU32L+yjzCKyHMnbRYEinotIgwCUM5bRGvny2UNZGU9URRhrHWym1mOKXQZuLeEMi7nOE6esDAWGQQYU2AsSBWgSrDAs2Y9C8LLmuGBAqUISt8iYzQoJ+EVyghhNaIckx4YcofrWEyLix0++zM/xTPPfJ+VtQ6FMQyGY2q1mLww/OnXvsFjjz7MA0cPkE12SLKcIIqo1ZzfWhBaityUMqSSer1JU0mMddJ6aV6QZS5ZohZr2s3WTKKMkzalBABnJVCDIAScv4oowTs/V/HbVSp1zIOTfp56fYm9D8uH5SpldvH+Pg1g3ZNyM6DIB+V6+4A08z0H5G6zn95TUGSvskcbPDhSfbQr3j8HTtzqMdwqELiXL8jc77tZIjALmgix62Butp1XLddhn9ytciMAzI2AIlerx17xy9y2ouxT/1PiDKmn/exGjA85T6uw12jbzZT3+oZwF8odSDx4P9xarl5urXW3e6bngY3yf0HlJzLb7bP3OVEmKEorMEwT/1wS3y4ctky6ksIQSE2kNLkyZMpgPTBiAT3fniuO9XbmV3PX7DWQ7rs5SO7GZXkHrovr1rUbELlJgOQDDYyEYUiz0Skz6wra7TZBELC5vYPWzkg6jCK2trcrKSqfqToej8vAblgZtHsj9VkPBw8sDIcjosiZbvsMecdwqFfeI15j22fFwtQHxIMhXjbByxsBc0blRVE4rwym4Ey9Xq8Cy57l4FkHswCJ8/9wkjBenx3c4jsv9++1q/37vu1O0qsOwpZSX6VuvtU0Gs78ejKZ0Gg00NqBAHG9xtraGqZw++n3+xVDwbNCWq1WFfTY2Nio9hWX0h2+Dzw7xMtU+WxiD0y1Wi3CMGQyGbsM0TID0/e5l2va2dm5wpvEMxZ04JghFlNJSMVxTK1WqySpJpNRJVkxmTivjsnISZt4jXgZlEwLKSu/DWMM3U4HXehKJ9yPq3a7XZnTzmqNewaQEILl5eUqiHfgwAEGg0HF7PBjpMr8LoEU3295nhPFEVIFHDt2jMFgUPbVpAKPJpMJtVqtklDzMl8e4DC5A7OEUNX58+chyzIajdoc88SxXeoY445nNBrRarUYj8cMh0PCIKxkzLwxsT++oshIs5QwcNJ0/f6gYmcNh8NSQkfTbLoAaqvVotls0uv1UTJ03hT9AXFco8BlfYtSRiWMQ0JhWV5aIhmPiIKAs+dPEwWKOFSkEwf2KenGTlZoDhw8TL/fZ7vX59ChgxhdsHboAG+++QbD3pBGvU1SFFAkhCZg/9oyC2sHCSJFs9Xg53/+F9m/so//73//P/DDbzzDuYvbPPHUE3z05EOYnSFvnTlPYgRDCxtJyk6WocMW1kjyLCMSCoymEQdICTo3ZVAxIM8TCmuI63WaUYtcWHQCWZ5TpAVgCSzovEBrF3APlMBYjdbuXjPoZWxcvIiQIYW2nDl1FkvMiQceJI6chNnGxjbpqMexg0f53JNPsU9IGpMxTa2xyQgGQy5c2OHofYc5duII3339bQ6srvLm6dOkSUJRaLoLi2gDBRBEdd5++xxvvvw2H//0z/D0T/4sb7/xNocOHKDTaiCFZWt7g69//ctcXr9MWFPkSYIIJBhKmRwnT5PmKRsbl2g266wsddna2WYyHJKXTKIf+/jHefO11zl//hyD/oAgDDh58jivv/EyR48e5vM/+/N86ff/iLPnztNd6LK9s4PWmmazhhQSa/U0yI8pAbppVr4pg69eC9ltZzHCscOMdS9tqxyU6hklhKge3P7a9/c5lwHvJ2iOmzvr6bG77J0lLqpFiQct5r5f7l+UAJAuNGF0ZX2zwIiY+Xt2u3lZMFHJNpaoj68IoLrHSaGoxTVkoBwTwLo2aWMIgKJwcmb+mVoxAEv2htYaJVzuWl6yMpMqWO+ufeRsX5WLOymQtgQ2oDq22X6bBUU8W8T9bpFCVgCKKp8hPrDdaDQqkMgxGsPq3vaZn/5p7j9xgq9+9WucO32ahaVF9u3bxy//8i/zzW9+m8uXL3PgwAHS5BT9ft8xDkcjRAS1RoOtnR7GnKG7sMxgOGSUpkzSMeHWFvv2rfDoo4/yyiuvkKRJxcBx9+Wc/qDvxlgpzzQeO1ZmGChGQ3cvDMOAPMtZ6rb5zve+T7MWs7y0iDUFyXhEu9mkFrlkhXE6ds/8ZpOFxUWsxN1Ho7gC+IQtGVSWMskiqJ73fhxI6Z51U+BLEIaxk6UrpRYd6zMtwTRKj48SwNJFCVZOxxcYd11q7UzjHQpYgo4CJST5ZMTHnnqchx5+gFdff4fl1UPYJMMiqTVb9Id9vvZnf8aD//e/BIki1yl5kREEofN0UQFKaUQm0YWrezwcURjHuoGpPCdQzTuEEFiDSySYAdxmmahORsuDi1PQ0YNDohx/fg449Shyr7z4UErrw3IbZWY1v+cadY/V/nVjbtfa6F6WG2zDFcd9vejeHQgevx/Cf9cIsdz4l266gpuo7y6UawWvrrrxndrpPSjXOq65aWM5RdzTlHav9u6u+HrHdK0MXmBOPssDINXvZQVyj8+q/c+wGG4VlLlKy6pq7vU97Jb2dyeAITvzcwp6eAkhWWbNi937Y2b2fNOB3ytH6u1ic+/bcgdu9ncjuf6267Azv9+VBlztplNKZAkneTU/d9nrqSau+Nu9YxBCOqAEzyyZFgnoclspLIE0RFKTKo0s5bTwOYXi2kJzex3NDZUrTvx1armZh/rNPMv3QtVvt8yGC+5EhsIswMuVLb1pKVT+/+z9V7BtSX7mh/0yc9ltj7m2fJtqb9BooIEGMAbjMAJHHM6QHFKhEUUGxRcpQoqg+M7R0yhCD/OokN4kjgxHCipoAcIDjUajgXZl25Wv64/dbvnM1ENmrr3PuefaurerClNZceucs/fyK9daub7v/33fh5wYEYK+cjEJllBdR547+6qrV6+SpAnD0YgnLl/GWEvpAdwAtgcQW2vd5ygEn+xg4xTHMZcuXWa5XPbqhlBB6taX937pDkChB9jjOO2B5jzP+2DrAEwHsCZYYFy8eBGtNYdHR2htPCA8O1EpGEB2WINtAagIljBr66m1ZUl4yR4Oh6xWq347gjXDweFefxykdN7vVjgrpaB2cPYmpj9WRhvauu1VMZcuXeLo6IjZbNZbogTgIxxTlzOx6gmjkPHh8ijyXgWxGT4aKkJ3dnapilWvnrHakKQZq8XcARDGspw72zLhAeM4HyARXp3irF6qqgKcIuT69etIKdne3kZK+uMZMkHiOKEpK7LhwFW5FiXaGLLcqUaEEOi2I0pTVKIYD4cuI8M4i5jgnR/OczgnQZERAKGg5rh58yZJGoGwxInLU1ksZwAkaUSWpcznc1QkiGNHViyX8x4c2t/f4+mnn+LgYMl4PPYkXe4Jh7onBNu29v0yc6C6VwNt5rHkee5zc6LeJm40GpFlGUVR9mqV6XR6gjTpupZIqn4ZTdNwcHDgj0HdV94bY+m6tr9mnU/+GN05n/ymrtGFJoli8nxAaySLVcXewT4IyXK+pG01Mo5Is5TJZAJdgwCqukRiKIolV999m3O7WwzyHCUFy8WKOHEA2HJR0GoYjsa8e/Uqzzz7FFXX8tRTT3F4c5/JToZMY9pac25nl3g6QcUSqxsGacyybfjqV3+R/8M//z/xf/7n/4Jrb71Ds3WO18uOm0dL3tg75mC2orOKdDzBqgTbNV5hpsiTGNoWYzRJlCKjCG2cOsZGklZr9hZzVKTorKb0dk2LVUme5GAVVbvC2fPh1G1dizY1WEssI5piwfHRinGaUx7Nebf4Kee3LmCniuVqxXJVEqmITjTM6pKLu7sgDDevvUsqLSY22J2U7179EZ//lV8i2r9JbgTnzu3QdBqhYhrt8lRMZ1gta5ply7/3v/yP+cVf+hX29g/51a//Pa5fvcLx4T7TyYDPffHLLFdLvvXnf8xoPGIljqlrpy4TUYRlbTXTVA3z2QFpcp5YQV1XJFHK8cEhP/ju91itVi43pyo5ms04ODqi7mp2dne4fv0aR8dHHB8fU5Wly/cxliRNfQaMr3a3xvdH3Q94AmAZkkRCJRU4G7AAWhosxli0tkQ+fNztiBuObWaIuHu5ROvOgb498XC/T7712+f6Jc7cNkn4zuBCqo0nNlyFjAeTT5EfYZknlSdnTeMUGMa6wG6XyeFfsARedZYCThlpcMfGeMI8jmPiJGGxWBAlCU3b9qqzUEyQJAld3ZEmCVoHUrXrQfeeoOoVIRuKF38AJAL8c9xV6q/3yZxQyaxzSpx1lDtySiniSCEEPZneti3j8YThYOyJDMFgOEF3hldf/RGXn7jAP/kn/zZ//u2/5OVXX6XThjRJ+frXv84rL7/C22+9w8c+9hwCwY9/+ENG0xFGuj4oI8VyseTFF17ia1/7Gk89c57VjWUPml+6fIm/8Tf+Bn/we3/AYDCgXBVIBLEn/1crN+5wzzfb50f1BSC+YODg8IAbV6/wG3/3b/PFL3yRui7pmoq2qUF3SCUYa5fRlg0yBqOhO7va0LU1dV06AiFx5CIbWWhlU9K0NQJF23UueF0qZJQirMt2ahqDC7eXtK2mbVq0cWOMPPHZZEqhhfEZPL4qDANWY63LQOu6BiUFsUqQcUQsDEiFlILDgz0uPfE0/5O/+3f55p//c3YvPoHGFRLEVpIPh/zxN77JV774OX7t6z/P0V5LluQ0rabTpbffdGrUKMmwnSYdDIi09kTjmqwQQnqrUEUUK2LpjnlnNVHkiBUplb+fiZ7ocbasa/utQD4Gm9Uw7lvbxIHr1fJ+bxYftY/aidaHh8LZb5KnQdP7BULeZ2TrYV6AgY0Dca9pHnbZH6y2iSU8ErjjUVaAPqZ23wDjIyZFfuaH5YztDxyDsBsg4OkD0m/vKQB8o7DnvbTbCBHCRp3eyNO/n0GO3M/fD7h1j2QxD9PeKylyn6u40xwiFBIJ1ooRfPh6b6fl4Utxum883Hbf7dQ97uMfuv2jJBweZ3sc27imwR58vjsWUtxrXut70T0f0ptk3clp1+ftJPt6+/DFTSWxfZj6iSeeEAhfxLipFPE8BwDSunkllkgYYqmJlEEoi1UgNFh9h/PzKJ6HD7KMszbirAf8gxCoj/PBJdZYx71ppXsvC+j7lT31ud34+a9NxkiWZk6B4SvylssVQjglyZNPPsn+/j6Hh4euCs9X+Q3zAYvFgtlsxjPPPNNX9QcVRbB2CpkQy+Wyt35yCoIxQtDnKZSlC+EO4IMjMSRRpBgOR4Dg6OiIZ599lk670FhwXtwug2TIYrHw2SgJ+/v7pEniwrxTZ9milKKpa6ZbW0614MH1LEspy8oHbEPTNM4eCae6CNWHxpj+GBnjlDTL5bJXAADEUYTxqgRHvNQYLNIrG6RSDiy0kKUpURzTLpZYYXqwKlhQCSGYTCZsbW3RnVLSVFXZg/Bpmvow9LZXUKRpwvnz57l582Z/njftn9q2RrddD4QB/pgKpBQoFffgVQD4Q0h62zSsioI4jhBI8iwHAdPpFm3bYIymLF1eS7Fa9cqfyXDE4eExWjvrrTSNKOuaNI1pW0GauHwIIaQ7rtLZmW0SYCFrI2TbhID6zdB6p4CpWS5nDEeOvAq5NCFLpCqrnswqVgVyKBkOXNbJfO78+S9feoKVD7UOyg+lHHA2Hk8YjcYcHx/1BN9g4Kzbgiopy1J/Phvm87m342oZDge95Ve4Xlx/ir3VnObixQuA4PDggN3d3d5GLY5jBoPcB7Q7cqyqawb5wFfPKgaDnLqu3LGQkrZtGAxdhsT+/j5pNiDJR2BhdjSnbTVdZ0nTjKrtGOUpTVUwHMQMBjFtrXj37Xf4J//OP0bQsJwf07UlkYzZ3TkHVlLXjpRpFk61srO9w2s//Snnz+9y8dx5BsMJ+/sznvnMpxmcHzIYjBFJQqs1yiosEVJDVbd0JDz3uZ/jqLK8vWh4+cUfkUYpyfnL7Ew07165ynK2YGd3h6oo2JqMGOQpsbQI5WydtL8WOtPRdC1RLOl0x/7+PpPppL++67rBtM6KyegOrLtWte683VbrPDIFtHXDaDxmuaypqpJLTz7Hsx//FFprrl+/hlQR+XCINQ3zeUWzOmI8GPMLn/kct1ZLTAJf/uoXOKpm/P6f/zGXm5p8Z4ef/OWrCBWxWJV0BhojMFaytXOJ3WyIUjmzZcd//V//DoPBmOc/+RkiGfP888+zd/MKb7/xGtvbE5TVtHXl7kEm9SSzQnfOxiiKE6zosL6v1QdOrWd0i9UOkMyynMEgRyl3T/jcZz/L3/3bf53vfe/7fOOPv8mPf/xTnnjiaSKpME1HlqTEKqHtGrRue3JEW4NGI4XLFbA+uNz638FXhPsBojF+GotTjxiLiDYHXWINePpz5Mhtn0Gg8QOFs0cwpwkKpywB/JDPbgxxw3Ztvt5ax3JgpcBqQ2uNGyAIAVIiQ8XLeqTix46nyZB1c/fVMI/Z2GThK/0FQimiJEEK6cgmbQjRFE3d+sD1EfP5nLZtKf0zTXcdIGhbd1+UOGtDJf1yvJJHG4Nmo5JeqvVxNO6oWCF6u6xQgW/COcUSckbWxIhBCB/c7kdvUq0tD6WUpElK3TRcunwZmSQMRhNmqxIrY9J8jNWW2axkuWr42i99jSefeZpv/OmfYkxHWS757Gc/xdZ0yssvvcLHP/4xnnv2WYSEV370MgeHB2AF2hpuHdzim3/+Tf728O+wtTXlxvXrTr1YrvjqV75KuSz51jf/jMl4zGKx4FxzjsuXL3Nw/gKzxdzZfApBHElMZ5EWr3hsiCPJalnxxBNP8rnPfoHd8+eYHx+xmHdIYUnjnDhNyLKMKI7odEfjbQwlAmuHKH8srLU0deP6vbXISNEa7dVCToUbR44EE1Jhjfb2oBFN01JVhSsSlRJrXci4BTqtfZC5Oxt9go3QGKXQfjzTdR2t0bSiQ8YxRkMUJ6RxzGg4YP9gjy//3Of5lV/+Kq/8+HUuPPEsRVljjKWuNXk24r//7d/hK1/+Avl4i3I1J5YRdd1grXCZKMagtcvmMdYSRylKxkSRJIrXGXTFYoE2GmWlLw7QTqlrJWIj900IZ8lmjfDKJH/tiECgrlVZgRTp7fB0h7XG2YN+1D5qD9sCOXI/CNF7RWd+BgjU+oX4IVf2ILM95CpOv7S/L82e8euj2J4PMsp4FvbyXrb3Puc9sdqf5fERZ/xhQIQB2OY1vzHtmcDRJpL8QOs9uYgT0/hn+m2kiKRHKcVZ09zn+u6/vVeg/y7b8Aj73MntugNRdI/V3T75xnJ8yDrCZ4v0VlrmJFnycJt/2zY9llP5AO3DQIo8Lq7ZnoCiH/Yo3FfPuuP6b5tH4N8lxYmp8G+34owzdmYtxwlQPxTG+TfU8NnGcvpMkUCOiMD9hT7viRFp0KojkhopLSiLlSCkgDsJt0+fwAc91A/bSTfnudcy7nbv+qBfIJvtjIGs5SQp8qDtQ02MlE1LnmVgoesMeT44Eah+6dIltra2eiWJUorVakVd1xRFwXw+Zzqd9vZUoXI/LGOxWPR2R3mee7urgjRNMUb3YdybtiMhONMYKIoSIRVZPuDqtetYY3rbkGCX0DQtWZb3GFMSx7S1s/NSQrKYz3sS5ujw0NkdSYFUkqquUJFEKsHOzg6Hh4esVkuSJHVhoD6HI4B64eX6yFuLBVLEqUQikiTug7HT3JEWq6JwgJaxREqRphkSQVs3/S1uNBz2L/XLxcJZQHgrDCKF1h1tU/cKkSSOsHFEpxuUigCLMZrRaMSNGzeoqtoBK0qRJM6HfjAYcOvWLZSKyRJHGjgSRxFFrio2hLuHbQFOnNti5QC2WDmPb90aVuWKc+fOYaQi3MmkFETeHkMplyGTpjFxrKjqDhXBQKWsigV5NqCqa/I0p2s1aZRgOoOKFW3T9jZaQG9h1TQNaZowmYw5Ojqi61z+iiMyDPlggJSSra2tPsS+bRq6ukFYQRa7UHZhhQMOlwUgGA8nxImrjG67zlU1D4ccHx+jlMBagVKR73NZn/1xfHzklSEF0+mUqnKWblGkPFk1Yrlc9n0pkDhd2xDFgtYrioQQVKuVs6GLFFXliKyicLZjw+Ggtw+RUiLF+ro0pkPrDqUkcayQSpJmQ8qqRFvNYDREychVAWhDW2simZCkgqY1mLZluDNB2o5zW7vorqZta+I4YjQeEamGra0BdVmzWpRcu3YdISKUiAFFGicY47KBzu2eY7lwtl3nL1ymYg9BwmB8DmElVkt0K7i5f8TVG0dcuXaTm/uHvPzKq1y7cgVtBbWI6aKI1lhk7QC+7YvnuH7tGsviiCcu7SCMRoXqdAtGt3TWEYnGWhCa+XyFNh0Xz++SpQl1XaAQRFg6LLprkMKCNd5Ky2B9joZUgrpuGY+mvPXuNVario89/zyTrV2IBNkwQ2WCKE546803ufzEkwzGCeVixgtv77OSOen2Ra4vDvn0uSe5MH2OSwf7/Ff/7e9wa29BYySD4YRxNmW2qtkeTUiyEVKlRElO2wpe/fHbSKEw7S1Wy45/4zf/Ou+++SLvvP1T5rMDtraGPPnERaqqoG6AWFDbricahZTu2FiQcULtQ54j6e9fIsZqg5WWJEmJY0nbdLR1y+H+EX/8h3/E/v4+VeVIQCk0UihXT2JdcLTFAffaaoSSKOHyfLCuEh5jEdYg5KZir3MDJyHpjAZjUUKhIuHvIW6sJxBuOVJgte4Hpsa63JLOaD8qM/4Jftarw/qh7wr4AkwcSBI/vVA4Psff+xziDEqiXRK2C8rGYIVxKhj/3DI44kaZteoiVKmH52lvjyRACUujnSqsjYJ9lcQag0pSRBRRty1KueehxQXvdZ0myQdoKzieL4iSlLJ0dopRJBEq7u/fdauJJe4ZIVzWi0USxQq6jtYT5EopdKt7ckd4oN2bJKO1y4Mw+Op+uc55CgS7e45rhJDEcYQS/jmgFFiDkgopLLpz2WJF1fDjn7xOqwWjacHqD77Bl7/4JZ6+dIk0EaxWh9w62Gdnd8ITT15gNjvGasvx8QGXL18kz3JeeuEl0tRZcV6++CRbkx3efvst9zxOFEW55H/4rf+OX/u1X6HtOg5u7ZFlKe++fYVf+eVfpa0bvvWn32R7Z4ppOzBQLEu6RrO7e47VcsFiNiPPM4SQVKuK8WCA0RYpFOPxlMVihdaWNE1oswxBgpSul3a6c33EgpIRunN/R1GCtHjyKiKKvaKn69CdRUlHUAQLRbw6UhuNETAaDfyzVZLnqbOz21BMhmf4Zr5bHEc0be0z0PDzK9LU+cI1Tbse67QWq1sEFtMZkljy9//+3+aVH75KWy+QInYB8kISJTk//PEb/Jf/1X/Dv//v/mMODheksSKSAqPdM7DrOlTdOTWYigFHbHSJoluuUJFTmCoBRmvq2tWaGe0UR53QtLpGSrWRIWKJlCOftNZ0dYm1uKKNDYWIMbrPRQuZdG6c+aEeun/U3s+2gbTZjRf4x/IufGqhj7MQ8WdJijzW/XiczZ/vDwRJ8zNuj+ScnXG87rnc94MU2RhGBtzbhmGmPYnb2dPKDbj7Tt1pmlNA4An1ST+0tSf/DuTHBilym5LkbtvwQO3OO/XI7bPeKzAaZntPt7Qz4eONz9cw9Vo5ss4WCQSJ2CSoHqrZs7rlX/32ntiNk0TUozpm9pEs7SSJcRqQDj9d8WDQHJ3eo9vbCcqmX7z139h+qtNznf7rTr1+/ewLR0GsCT+xcdsRoudprbAo4bJfI2kQyoCyoHCe4WtPqLM3b/OzB+kP93MfvtM873Xax8XKndEe1TM5EFqbn5358z7bh/rtqm07BnmwJbAOAKkbpBSMx2PAKxyyDGOccmI0WmdXFEXBZDLp8xwCSKK15tj70Mdx3NsFGWNYrQp2dnaw1oE8myfDVTg68NkY7UD7OGaxWDAej3uCIlh0hcr7LMtcJX1ZIrxNVqe1V4Kss0Qmk0kP5nVd50FspyA4OjpyIaBZRtO0vdJgb2+vt9Gqqqp/Kd8kaJwPuMJ6tUhVVURJ7IgGH7Tati3KV9jq1tmHBTIi2GOFYPFgidR1bZ9jEY5v2K5VsSJJE4qioKpqxuMJTdswnU7Js4zVagXWoqSkazvatmZra+wq5T2IshloGrzVtdHEcUISRywWi56IbruOPM/ofBbDZDIhimNkpCiKEmM0aZqQ50OXfYHAms4BYkiq0lmTBKudzmgP7BsWi6UDatuOrmvIkoSmrVBJgsX21mzBAs0RAE5d1LZtbzUVAs+V8HkA3jqmaRoEwquSEq9UKl0mDP4BZAyNbajqitFohBSKol4xGAzIsszZDJWlt0LrUEr0mSPOMkQzHo8xxpzIgQn9IfxM03RNSgnRk1Eh5ycohgAWi0V/joIqa9MOJ8syV3HslU5FUTAcDpHKh2JJtw1p6sKim7rFCsNytcQ4VNr3K9dXd3Z30F3nlUod1ljyfIhUEU1TUq2W5GlOnuVk6YA0zjg8PGKxPHaqlUghI0uep4wnl7l58xAZr/jEp79E1TQsFhXzxYqr12/yzjs3+eFPX2f/4JCDwxnHswVdUAXEMZ21FGWFFII0cUHBUSS4eHGHG9evYqYDtiYjurZBCmgbZ1GjtUZI6JqGpqmJk4hBnNE2DYfLObrrSNMM8CC5dcCZRWOs7t87rDF0VmCN5eDgiK2tc+ycO8/+T9+kPTpiRyUMRxNUpLBS09qG+WrOZDRFDcc0VcWLb1xBSUscwb/67W/wuc9+gr1lxBtXlsRqwNbuJc5duEjZtMSrijQfoJGUdUPdarCCydaISErQlqo+5Jvf+D2evDxGKU2aSLq64hMfe4533n0HPZs7wsEKpxaRipCbEUWKwWhEpx14bXHqC3zAtMtmOkCblvEwpe1a/q//l/87r7/+OtvbU4bDAbpryLMUaw1xvM6b0p32NlPuRcDigXXNiWBxN70LRg6WVH02R/96Qf+scCqRjTHTBuDpcitidNeiu96w9N4Pvb665uSQoq80l061gfTDTCHXM1q3P8YGFcXJ3AOgv6+G7T2xak9YBNVLULqF5UupEMo9a6SK/LOq8/Mqbx3kzmldN+5ZLcSaROckGdPbKBqDFG7eOPLEEpZMudwPYwxRHGGNy5ww1vSklBSSKHLbJuXa0myTPHfrWudhhH1VQvr8DHfPGuQDrNEMBwOEdaqGTguqqmZv/4Bv/8V3+elkwvOffI7nn38WY2tefPFl4ljwN//G32Q2m/GNP/kmZVmwtTXlF37xF3j55Vc5PDri3PnzlHlBWRYcHx85xaZx4ebf/va3eeaZZ3ji8mWwAqMNBwcH/Pqv/zptWfH66z8ljmOqoqRYrTg6nlGsKoYDR4h0ukMK4ZUfDZlJiZXieDZj5tWUo0FKHCm6tsbo1r0YO58npPDns6xAOELDdNpbmNErEx3hF8YgjbfGHLgCEq+C2LT37FVJximAAlEVzo8bd9HnWMVRglKur4TnqTuneEIr7kkVjFO3TNOUWrf89V/7Ff70m3/GN//i++yefxKJRBuL1jAab/E7v/dHfPpTn+JTH3+apliSJBHWxo4UUxKBwlrXt8IYIhERxnboBpq6QiLQunVEkFwPrWVZ0nmbvrCP7liEsZVT/KlIEUXKXwf6RJ5PGJeuLVzbe98rPmoftTs1sYGQv19I1SNd7yMgRe5zEe/pZf5uwMnPoj2K833W/A97UB7Hvt8RGbuP9gDT3tcu3x3Hu/eCHsXxMY4QEaGeZnP4eKf+H8CxzZ932rb72X6x8a//22587n4XPwNS5JGTII+jiYfbzbvPc/JECn/c3VgvkCPhn+eq3vOxOlMj8Fe+ncZpH7R9EI+XgD7kfJNeCO0EKUIgRe6PjDmrnwXCIhS8Wf+W/WCH9dTNKxAgwhPEgrWtFngVyXrdLkPREkmLlAYRGWxkEZukyJ1276x76/2e2M378/3s8IPcn+825nnQ9T5se7RM30a/PLWO08+c+2wfamIkSRLieG3/FPI+pJQURbm2amq7HgQJWRghL2O5XPYhqOFflmU9IO0C1jOvTHDV9gcHB33Y+Zo0sR4ochYnSjmLrsJbDrkKfFdFK6Qk95kaQQ3SdR2dB4ujKHJGKcrlXsxms/7zqqqcZ7t1QEIAsUN1Zdu0dJ3ulS8hnFtK2asPoijqra8Gg4EH69cZKdoHmrZdhxX05EYSJ5RF0S+j82G4WZaf8H5PvXe/ELInRcL2ZFnGdDrl6OgIFUW9g0vtw2STKPFVwJI0TYiUQghLXVUOtLKGqin7cPkANkZJxuLI24NpjbFp//LXdh1CCqbTKcfHxy4zpGvoTOfBCuf3X9ctQkgiKWjaBqsNeabY2d3h+GhGlucIKamahiZYvUjvQR5FDrAoapAG02nqogHvBd40DZPJhLZtmExGfdDwcDjc8BV3gE+kJJHv18E6LUszYg9ELhbLPqw2kE2LxQIVRRhrWSwW/XEJJEYURaxWK6IoYnt7m2vXrlDXda9oCesK2xNC1wOhFgCtuq4ZjUaOBLOWpqr768Rl06xDjDdBsLB8R06OCNZpm8RauO5M6whJrXVPHAohaHSLkpLD40OKcuVAOw/GVk3DZDxlMT9kMBiCFRRFzXg8RRLRlIZxvuUIGl2QZg5km26PGAyHrIqCrjPMi5VT9OQDnvvkp4nTLQ4WNWVR8Z3v/hk//vFr3Nw/4Oh4gRWKpnUEaOvtVrSxDjTEkkYRVmti6QjR5fyYLI05tz1l/9Z1nrj4eRZtSVWWdE2DBdqmoahKjDUMBm6/i9WKrm3668v6az8QI+ACi43RvlpeIKyrWA5Kr/39fQ6PFuzd2mMy3SVLVxywh8hjGtMw2RkipGFezEnTnChLEVHsgtCV4MZhzbU/fgEhLNNznyaWERjBfKFptEXInKYFYzvyLHPXoO6wxlVK53nClbff5OY7C7Z+/Vd55qknePmlPWIRYbVhOBxhEazKms4YZOQTwnFqslT6rJqqdiCt0WhrEf66MVZjjKVtaozpKFZz6rpkZ3vCYn7EzRs3qFYlX/j8l8G2SJHQtQ3CeiWCJzqMdkoKISTadP0zw6kJot4aym3ZehThMivop+8JW9xAy1iLNrq/vwrp7BZbKXs17pqIECf+XvMW5g6DFZ9f4pgQt27lLIl6cNVTPpvKD2fpo/v76KbK7uT2cAK0DrJVKSOgCRP0hH9QgxlraduqJx4cwK18+Lzf5g0CZHO94bOu68AaEE6FqbUjf4x1xyXYEwWFiBUCtHbksrRY7cTUm+vY3FfTA/KOeAme2hJHKlrhSBdnSxVRlhXTrREHB/uUjUZGGRaJjCKqKKYoY15/8y3qruTczphnnv0Yo0HK9Wu3kFLw/POf4t13rzFfLBiNJvzi136JV155hbfefpMnnrjMpUuXvGLPAd9JktA0DT/5yU8YjUZ84hOfQGt3X8+yhH/jH/wDfv/3fofDoxlZtuT8+fMkaUZZVURKIdOEqi6IlKRuG9rW5URhHLi/KgpmiwXjQeYyO3TnbBSkQnqrx9Z0REiiKKbTbU+OaU9qw1pVtLZ8coraEEwexTGItWoyPCu6zhHYQfkTPgvjkWDRGK6pJM76Z5Mj2bUnkJp+jBNFERJI4xgjBHVZkmUp//Df+od86y9/QNc2IBKEUDRt562+Mn7rt3+HT/6v/xOe+/gnKJdzR1IYN27TXcigEa4wotVYXMZJawxYQ6wiIO/7WT+miiO0L9wJx8hZbDa9GiRYbzWN6Qs/tNb99RSWGY7TclWcdSP4qH3U7t3Exi8ngIef4Qb8LJCf+yU6HnZbHsE+PPS673f1j+OkPuaO8p4X70GdBz60Z8zwUOTHw6z3rBU9xHJv60+n0MpePdJ/fMaB2tge971YT3IfB8SeUIVskh/+H5ufnfp9cxvO+v22HXuw9jMlRR75tX33fb4jjyQ23yHCudmAq/3tWPpcEQlrpch7Vovce/ver7aG2+8x3Qa2fj/78FeRFAkt9BfLyftIaJukSD/HPY7F3fY3kDHr+9HpdjpAPYxp7rQefz+zZ88fShzD10E1IoVFSv8vcu4LSNtv2wkO4lGcwM3l3sfy+t0569knzpj2bqTzA6z3odujGkNs9o07bK+4y3d3ah9qYiQArsFCIQAzgQAIdkHhhTIQGsZY5vNFr6TY2dlFa93bZbkciYwkSTcq6B14vb29zdHREcvlkuVyyWg0AmAwGPQV/CEYPIoiLA4kCIRGAJADWdG2bV+1r5RiMBySZhmLuc8dSdP+pT8A2F3lMisONgiP8J2rks/7l+vpdMp8Pvf5KCOfReGCygfesinLMpaLBXEc9UHxTdv2ldMhH6MsC7ec4YjOkyPb2zs9OdM0DV3Xsbu761QOHrwNv2dZxmw2czkWeU5RFL1qQQBlWdE0LgdBImhFjTURUSQpywqBQSqFMdBqR9aoSKKIaJqqB5KjKKbVHSqOemAwS1KKYoVSkuFoyGw+pykajMGrIzLatmWYZ3StZjUvGI9GGA37+0c89eRT7B3uoZQiSwdIEVE3NVIoUl+F3nQNWZ6wWi4YDHLaqmEwGHPt2jUHWCUJcRwhpWA0cuRIXdd9QK6Uzj4s9O1A3gk/stFac3Q0I01TptNpn1OitWZ3d5eqrtHG9MqOS5cuEbJZtNZsb29jrWU+nzMcDsnzvK9CDSqiwWBwAtxy10Lag1xuH5xCA3/NBbuy0FdCnw5qEGeVZfprMWTRhGsgLC8AQX3gtTH9teQethYVK+q24XgxQ9sUI3DkQxIzHI44PLjFaDSma0qKVcnHnvsYXasxjaGT2memxFiradqWOFGUdUU2HNB2lvHuBQajLaI45bXX3ub1t3/C9b1DrrxzlVt7+2htaDtLUbV0bUVnLV3nMnyiJEHXtcvCiBRatySRAt1QrhbotqLWFXmecnM54+joANu1VMWSrm0pq5K2s8gkZjQY0nYNy+XCER544kO6/UW4fAgprKuiFj4jAYjjFCWEy83xXv1Xr14FFIPBlEhJkihitVhQzStIIE5S4ihDqZSmKUniISBRUYJFIqRCJUNHyFUlbd2ADZHkCmNhUSwZDDO0LtGmZTTKyNMUgebF7/8584ObPPXUkzz7zJO0dUmxWjAZnifPc66+8qrLErEOcDfaqTjiOMa0Ldl0iJCOpGuahtSrq9pOo42h6zRpEruKbTS/8Rt/l7/1N36F+fER8/kRRVFxsD/jB99/iWGeInCGVOE+uR4ggfUyj03i1V0S8sSbVXjZWH9kN15A8ApB2/dd/P3U+AyGkHHRL0QA9vZQZQfk677C5XSzmyOdQCpsqFM2AzQ3AVel1sRJP92J5VpOkyP449OZQOdI8JZ+zkIx6gUtEkGkYn/9SownmvrcK7HOVehtujxR0is7gqJRCWyrscJNEwlHggicjaYNHqOebAmqHqdUsH4/3Rv4ZtX+icB2f5+1xiCUk0KEcUXsM8TABctfv3YdqyLy4YTOGFrjrLwGgyG11rz1zhWS+Fmeefop6nKJtQKM4LlnnuPyhcu8+PKrHB/PyPMhn/rMpxiOcr73ve/x7LPPcuHCBZbLxQlSuOs6/vIv/5Isy7l06XI/5rl27Rq/8LVf5MUXXmaxcHaHo/EIbTV7e3soBW3XsL215TOvXEFEFEsyGbG3d4ubN28y/eTHHPEvLE1VIq0ljlOiKKGqGrQ2CLkmoaSgB/iDeiOMA7TRDAYDVquVt+Z0FqeI9fkNhRxau3ub8oUn4f4fsrmUcudVKVd4IKTtn43u2WN6tYg7N1F/Po311mtSslos+MLnP8ev/srX+ea3vsPOuctYI9Daoo0lSwe8+e51fvt3fp//5D/8n5PlA9rOZau5y8s6hWjrLPTiSGIApVJiNFi8oiVCCKcmdspQ1W9bq13xiyueCSqYmCSKQFiCCi72z1Ldacqi6p/DJqjCEJhufd1+1D5qD9w23/5PImc/m3V/ANbxyECMh2jvhRDpl+F/3nFRj/KUPiLg/m7zPtIeuAHePbbtedD9vxcC+B7biT61+fsmFm5d8LA1AqRHNsXG9Kd/ghsHecDwJAJ4alq7sQ2B6JB3+D1skF/3HXf/UZIiDzXXz2JhG4u9n4v5DtPYO391arnr4y9O/ZPhd/pJ7r7gD11zIPjpbn+n1t9jH/AYrM/WX5kD9x7a47pY6NUr4QN74iZ0ahNuu22cfVIF9IJahPXrMAhpkcogI4ONxPp+9rjaWffae00bfr/bPPfa5gd9dj5Mu9c2PuiyOLk8ez8X913ah5oYaZqG8WhEmqZrJYUxzGYzJpMJRVHQdV3v4zwcDvuKxPF43Ff6h5DsAEIHS6CQwRHA4NVqhVKK0WhElmU+fyFluVyyt7dHkiQcHh6SJAlbW1sURUGaZb390O7uLmmakvhqeHDZEoE0aJqGhc/oEFKwtbXFcrnk4sWLHBwcUNfOX1tK4cgEJRkOhyyXyz4UO4rcS3iapv0+bKoRNm2oQgh7lmUkacp4NOwVAkVZYAWoKO1VJw50jZlMxty6eYujoyPyfMDOzg47OztUVcXNmzdZLBY9oGOM7oH/oHApiqLfhkASLRdLxqMRWmtWqxXbU6euEEBdtTRNzXQ6dkoF4VQbvX2H0X11ZrBHC6C7O16uWnaUZSwWC9698i5SSLQ2xHHq+48LAi/LEollMh6TejXQ0dGRswwxFpQDHKuqIssy8iwnzTLm87knwlq2d6ZYC1OVEUcply9f7okjY1yeS9j/8XjM4eEhWZbRtq4yOihsgkoonDshVW9VFfprsJoKmSxpljEajajrmhs3bvTHIihWqqoiSWKapuuVJIG4Go/HLJdLjM/CCSqTJEn6a6Wqqt6SK4lisE4xE87pYDAgiiKWyyVA36+rqmJra6u3bwuh7CGAHmA2m3Hu3C6j0YjZzBFA4TotigJtJVEck6SJVyw565aqqhlmAw9qG7IkZVmXDPKcNEnIkgwGA+IIoniCFYY0zyiqEo1AI0DlZGmGige88dYtfvDCK7z86k/YPy44mi8oK6eMapsO5av+Z8fumsvyHGONVz0p2qbCyhjb1lhi2q7FdA1ppDC2Y7VcMB4PePftt3jyiYs0TUlT1Vhgd3eXVmuOjo/oug4pofHEpLGds4DRGqXwIJxAqQDyusyLOIpQErARnewwpmGY51gk1riA5cPDPRAQ5Yp6VdGVEW2cImWMsRIpl4xGU7RsiKKM1bIgz4cslkvSJCHOMoTQHB/PKKrKkTFKsr+3T5pGJLFADmLqsuCVl77PanbAaJQzGCZIOn7yw1c4PNxnd3vKH/3RHzIabVEUFda6TAjbdqg0oa0qIuDyE0/43BUPzvsK7ACwKyWwaLIkoioL4kixfW6H8zsj6mqHw8Nj/vqv/SqzoyN++MMfEqdD2lY7YHWT4fAvj9anovdWWRtvFoHgCxaOm21TWaG1pjMOUJbeAuiEhdAJYOr2J/la3eBJCAF3RSjEer6QKdWTAHZd0b9JmPQqED8fcJJQObVvYb+xtnfpkmK9b71CRpse+JVSYhD98yccw3B/DsBvKGAIajOllMv4CMSGdJkvveJFOQtIBGijscYi8Ao1r9AJxIjbNx8Mv0GEnN5HdxhNv15wKgcB1HXNYDimqmvqpiLNR3Rt7UB7LEmaUDcNUkmyLOYnr73FhfPnuXzxHEIYmrLo1RFf+uIXeOmVV5nPl8Rxwsc+9jGSJOGll17iySefRCnJbDbjnXfe6dWpq9WK73//+3zlK8KPGy7Rti3zectXv/pVfvd3f4+rV6+SD4cuf0x5cr2pKMoSqzVZmpLnQ6JIgjDcvHWLt99+hwvndshSl5+hVIyxa2VHHMe03jY0jhIH4ndBMSl7G8VQmGK1ew4EckNKl8OjO92PtwKhL4TwdmqqJ0QCGeWede7tI88zrDXUTdmvy4mDDFG0Jh/W/cr05z9SiqptEXHHP/w3/02+890XaKoCIWO3fKFYlTVxkvFHf/Jn/MKXv8RXf+4LCAHL5ZxBnrmxiJC0Tdurg10OVozxBIsrjBG9WjbYYoXrRvlg+dBcHxcY25HESd/XGq8EdblcQ+q67o9VuH4dufJR+6i9h7b5QvkzLaW+j/YoN+d+lvUY1ndf7/3vZb32zF8f6SrvRr7ck5g548vHfkxOrehREFAPtD2P+zK6E1h2J1IktFD8b8DaUAIUKrvt2fPdRo5sfHgC2PK/bBIf/c9NQiTM7qya1ss/XeJ8f+19uWU9xnWevT/3JkTObvYuy3TLCufAvTeCkGwQI85WOHz/Xnf7LB7t/Wv+/csD4+KOd6X7R6ZPXwon5/8r2B4I1L4Xq3R/KP7ps4ZXfwQQ//Zb4uZ61+TuWc+t9e1oIxlJ4Ihk8FbOTi2iYo1RAivlxjv3HTf74Zrd+HGP6++so2fvMM99dc+NZ+dj68GPkmy90wn1P/+1C1/P0gFYZzflANuCNMlZLUvaRjOdbPcgrOv4ytsX6B64r+u6txQKBEuoWgzV9Nvb2+zvHfZhmdgSgQIrEQguXrjswnqBSxef6MGAixcuc3h0gIpUr9o4OjqibRqyPEd3XU8oXL9+neeee479/X2m02mvdplMJn1IvNbaV192lGVJuSqwxqA9IJ3nOVgXRNo0zYkX6qBaGY1GPP3003Rdx3K5dNWjUcRoOMRaqGtXHZrEqfOrF5IsdXkiptPUbc3seM5gMCSOkx4sD4C3A/idDUjTNGRZ2gNw7u+M2OeuqDjCaMMgy6mK0lXBdpqdrS3SNEZJB1DGacrO1hZVXXLjxg12dnZQUtLors9KSROXKZLnA4yxpHGCkALliYWmaTg8PGZndwcVJwRaVArlAJtUMR4NONhboeKI8TCnLAoMMN0aUzUV+SBnPBlxdDwnTTOGwxFxknHt2g12d3cZjXKu37zCauXCyNN4SFUecfnyRZ+3EXnLLncetO7odMNoPOjVIW3b9iqhTWuZtm3RdAwGOefPn+P4+Jg8T3vyqaoK6rbrgaWjoyOSdN2PR6MRZVl69UfXk4GLxYLpdNrbygVSpCiK26xtwjSDwYDxeMzx0RHT8aQnRQLQeXx83Ft+hH2SUrJarZhMJhvb0faE5Wq14rnnnuPo6JDW28iE6vbDw8PeHghjMVqTxSmdsUTC0LUto8l4QzVkaOqS+fEBL3z/uyyP93jy0g5JGqGNJYpjrIoYb52nrFt2ty7w5tvX+cY3/oBXf/QGs0XJ/t4xk51z7B/PXCC3yihKF+DdlDVt1zEYDRkOB0jh9tkYFwyeZRlWNzRVSVMVdJ0LApaJ86yPhCBPUq7uXWWQJ5SFszgbj0bsH9xiVZa9uqyqWuLIkS1KKZQUuNBtRwa4Mi1v3yRcSLFUyt3vpPE2ZQ3L+SFGW5589jmEbYhjRxAXxyUHB3uMRiOsgKppybIRViiWwzGj8RQlE9I0o/D2P4iSw+MZBkMcJQyGMWVZslwuuXzxIkkSEQkLWvPSiy9SzOds7exgupqt0YQXX/g+X/j853jlpReZTiaO2MMB5EoqhGmxyqu9rGXn0kWyNOHm3h4KRyJLIZydkLdOdNZDmk5ritWK1WrBIBkzOzpkNEwZ5Cl1WfD000+QpIo0i5nNZw5s96URDlgXLivABEBzDWxq7XIV1lXpp8FJ/yLI5nWDn25th7M5BAvKEeszGNZEiz2jkNesyZvNtZ6UqTiFi9sArHEvv5vZGc4KTGKtPkHirL83J0icTYskcAMNY13YvJARSjnQV6GIiJzawl+/SIkxnihBor1xWLDACkT9aeVI2JbOWKRSREmKAoSUaOtUnK1XoykVYwBtDcK6Pm992Y/CBXtLoYi8Qkdad5wQIJXoB8XKny/pn5eRlKgoIomcjZuKYra3t/nRj39CZwyTrR0Go5HLVZGGpikRMsbgQtuFErz00o8YD79KEkvydEDb1iglydKMr/z8z/Gtb32bvb1bPHHpSS5fvkxdl/z4xz/m2WefZTKZoJTipVdexuDUUzf3bvHd732PL33p5yjLkvF4zJUrV1Ay5mMfe463337bZWNhmWxtueMTCYbDIco/h4vKZ0oNB5hUsVgVLBYrkmjq+xgYTa/is9ZnXITzhMb6sVG4T2ntCiAASj8WAreMoijIh4P+HAeVYK/s6BwpFlQgwUYx9AsQXiFjThR3hGdfsFQLfcoRL24n6qYFGaFMS10WfOHzn+WXv/YL/OEf/xnnzl8GIWl1h7GCGIlQCf/9b/02Tz55kXPntomThNWqJI29paS/LqJIeTzZ957eVmxNtjnbuDUB6K544/KMPAnU6Q4lBFVVwMZ12nX0tpNRJDeW6a7Xqm74qH3UHqZZcfa75F+1FkCFe7bHcBB+ZgTAQyz/gatB7wYu3Gs5GwDIz/SYnADu3+NyPoTttr5vT/3eKwE2gfdTIPzd0OwTwNYGsSH978qNhU8QIHeyynqI9kHjcd9r21Sdnz3B/S7pfjv9mjhx/zZstE4oR+43OvtOTXhI+oMmPHmQ/fH7cIcdsP5/p0rk3tPWPcr2OAv/76/d+VjcG/APdKw48XugRwLdcRrwF/2st++9ILyNr9/g/esiWOHV8OttEALvXGBQyhDFGq0kWoKVFhd4ywOriu7aTnFyD/TsvJ957radG/f+x9F3HvmVcQf+8rZtf4AVf6iJkQDYLBYLbty4gbWW5XJJWZZsb2+zs7PTEx7B2zpYSAVv7GCdFXJGQvV6WZZ9Zf4777yD7gxJkvaqkhD0GaolQ1D7OiBT9aRKZ9Z2RIPBgHx3t6+SjeIY64HQ4Lt97dq13troM5/5TK8kCSREOOVZliHwWQ5CMp/PaZqWQT5gMBj0ZE0AHLTWLJdLZrMZdV2zvb3d23/tHxy4ykoftD2ZTpFCsvLESV3XKCF78iiQLUE9Ez4LGS8nbWhsD7gHgmZnZ4fFyhEzbdP0dmBRkrJYLCgKw3g0ovFEQQgGH49GTCZT9vb3qJuGttW9NczWdIfxdMKN67d6+yWHzUmauiVJc5q6I1KuUlRKSVXWDIdDd4yXM0ajnEgplqs5SRQRxxGrsiAf5GANh4eHRLGzxCqKgrJqmIzHrg8tFhjtQMfhcARasbPj1Bt5nvfqi3A8q6piPBkC9NYow+GwB3iAnthKkgSJA4Lefvvtvoq4LMveqkRFrrI3SRKmkwmDUY5gHdqaJAlKKo6PjhiOBgCuf3r1yXg0wnjg59zuLsvl0oX61jWLxYI0SZ3qKUm4du36ibDboGYKOT9hf0K/3d7e7knITUVKURQ9GekItobReG3zFabPsoyybjDaMj9eUNcNTakxRhBJxcATjUZ3WAxKwmg04NOf/jTnzm9TVUsWszlCSnZ2L1LU8MbLb7B/OOfW/rf46evvsre/QKiUxQqSwTkWhSZOB6hYURYF1goi4cKtkyRCCUvX1oyGA+ga6soRPud3pxiteWt+7K+7Dt21TKYjyqJgsVhQVc5Grqwq0jxHScn1mzfoOkOcri38nFrLHa9Ni7NNkNEVJrvqCSkdWWuMDh+RD3L+2l/7a9za2+fll1/muec+jooUVdWSiITd556jWK1ojSFVirIu0EBFS9usyPMBVo84f+ESy9XMAe62otEty2LmMkTSIZcv7qCkQQmL0R1vvf5TIgTbW9tY3ZAmGVeuvMurL3+fz3/mU3z+85/ltdde4ytf/jl+/Nrr5EiazpDlAxrdYqqC6c42zz33DEdHR1itkVFMnCZIISjLsldvOdWMU0DNF8fMj495/tknqIsZkZKc390hijKefPIJB1QaTZYlVE23Vg1Yly0ihETglrdJCGjtiJc4WMgZi2ZNaBh7MpBdSoESPuvDhy9vPrvC+qSUaLNJstj1NGGQJ8yJ7+7yUMQG2ygJaNNnn2zmbGzu11kWWnf6/GQgtCMOBN7uyivalA9eb5oWDXRdi9EWGUmw9ORt2N44Ur0qLvTt8HzpOmchJCrZA+rZIHeh3k1D23VO+RMs0Yy/DgKQLATGV99v2nTBevAsxHp/pQSFAGvQ2q6VK15ZVzcN88WCoqhRUcp4PCHLUpIopmsqrExBKVYr2N3eZu/giLLs2N2+SLE8JklTtO0oqpLBcMiv/Nqv8dILL3Dlnavs7Gzz8Y9/nLJ0BQDj8ZhnnnmGOE14/fU36LquV72+8847nD9/njSJ2NrawlrLpz/9aY6Pj3nhhRcYDt0YJ4qlV5XMwd9H3fOuQ0xisJKj2YLZYsmlSxewWlKuGoQI5FVQAgmsNY6AFAblCYCg7gmFHHVdk8RJ/2zo87OEdOcfeovEMGaK4hjBmgjftDoD92wsS2cnmqRxrzINZIqzLY378VpVVURKIoW75lzOTUS1Kknzir/51/8a3/v+C3RthTYQpRkyimg6S6Nrfvza67z2xls8/czTEPo2ltS6/Cineklp2vVYMI4FXWv6cYezMVyrWdz9wSnU8M+QcD0LAXGc9OpJp+Bcj7WkVOjO9e+gjAnP24/aR+2h2p1KJz+I7fZagIdaxqOY74G240HXeRb4fB/tRIXrHb/kBIDwQFWU95j2zM2807a/12Nyr+W/l3U9aLvf5d9luofu1w+zbk+G9NXVG1W1a3srP+EmoWE3f/o/Tju+Sv+dBKQD1cMyPrQkxnu4Z7znXX6IBZyeRazR4dun9WSIC1w3SOHe26Q8TYqc7AoP2z5opEhoj36bPjh7Cacu3UfZ7oN43lz3WZPeaxEnyLQN1mFdXBjIkdvnA27L/3B2tcLf/9x7orC2fxZuujGviyLd+gTOtjxShjjSECmsMnTSq8JP10g+im7wsBfNo1j34+jGm2TLo1x+OMe33QA3JnnAMeSHmhgZj8dIIVgsFr1aIeRoBDAjWPb0obCS3qYniiJms1kfoB7CqYP9T5gnjmPyzFVDBoAl+GqHKsk8z101ua/0Dy/5ZVUiI0XwxQ4EiMs6ccDbZDJhNBr1dkeDwYDEqwb29vdJfVB78Nd3++ZyG5LEhXRbKVFCkkRxvz+BtAkAVyBIhsNhT44Ey4ut6RQhRL8dwRs8KGuqqgJhe3uNpmmI45jlctmTOFLKPlR800s8BLUHwiScF6vdDaeu617BYH1ovTYtZVWRJClNq7l69QZKKdJ0yHJZYI1gOt5CxTFFURJFMdrAYr6iaZ1VWpKkVHWDVBFZFtPWLdp4cMYamroijiM6aymrCqVAC7BW03QNSaKoqoI0TdDWVarWbU3d1sSRU2tYY9CdIyWqskSKmDhJUUoQexVLADQ2K7DzQUo+cGB3kiQniLjQhwLJUNc1UjjZnt6o1A3KkhDQrlREJBVVUTDIc2yncVXTAtN2vdf6+d1zSOkAJylczNowy9GtO0dNWYE2jgzIMoS17Ey36LqO1XxBmyRcunDBqZZKp/QJIcHWWkajEa3PoBmNRj3RE/rhdDqlqiq/zQ4UDVkiWZYBUFVVb2kXrpF2/xAMLOdL0jihrGqUEOi2I1IRTVW6Cu8koW4qVKT4zGc/jZCCo1nC0x87Byhu7R3znb98mR/96E1m85Kr1/fojCTNRmhb02koygXGGpS0DAY5yuuJu7rx3vNuf5qu5qCYYXRDniUY3XL96rsewLKU1YbPvtHc2t9DCtA4p9OiaiiqBuFVBUni8jWwlszfWxyQ7e55aZq68+TrJJzE0ylErDaOWIk9sBhZpJY88+zT/Ef/8X/ICy+8wA++/xd0uqCqtSNVRYTuWmetYyDNBwxGQzpjaLqWxXLOcjFnMBxRVytGozEyipHSMMgzoqbFaoM1DYtFyZMXL5PGMdev3MS0NXHklAlY4YLlVwVtXfLiiy/xt3791/k//vN/zuc/90XG4xG5kSxXTvkkW8H03C5PPnmJg71btG2DUoK2deHqUgiSxCmA3D3QWV+lScLhwQFvvP4af+NXv8ZikGN0g5QwX8x49dWXuXjhAjdvHjhljdRInLrJgeGmJ1O7LhAU7p8xGu1tfILnf6heN6bDepI6VNCHAZwQjhAIqhAH+jt7JinUuiwFWAP3G8PJzQqO2zS7m/OE5fi3VmNAKISUGE+cdp3xgdVrQmdTLbKZK3KaPFn/7fYpAPXCuHvVdDIB8GRoglQRUjjAW0mBFdZbETlVB0CnNVKvSZhwPwikeiCYnEqko+na/pkS7r/CuuULJFa5N3FjLU4us96HzVyT9f3ID5CF8IovZ0kYxQlWmz5XyRjDaDLhytWrHOwfouKYmzdvUtUN0+1tLj/xBKPpNkW5pGla1GSL+XxBlsR85zvf4+Jv/gYqydDWqcqk9BaCFk9aRxTFisFgwGc+8xmKoqBuaibTqVMbSonWFikUZVlzvLhCFMd8+YufZ7VaIaUkH4355Kc/xY9/+mNWy0Vf6FHXTtGplELFEcfzOXmekaQZdduitWU2X9C22r0MS5elYUzrxzcWY/34IVzPxvX9ML4I93gpJaOtKcWq6McTx8fHAH3hR1VVPSmSpqnDU/yzL+SUrMdriiRJadvIkyb0VlshG8h6si30WSEEnUsQIooTEhmRpDlJPKTrOn7hK1/m5774eb79ne8znGyhraGuOpI0I1Y5Tbviv/lvf5tPPP8pzu9MSFJAa5IodvlOgIoirHDktYwVkYrJ05iydCR/ksQ0Xi3ZNA2ItaLSaI0C0iTCRmu7zzCmTNMUJ5YL4yqFidx+pZ40ny+Wt90HPmoftQdqHywM5/G0s/bxIff7oUiR93KM71AJedv397OMB53vfuY5C7i5G9n2KI7J3bbnQdqDnMxHcQ4f93rOWNYdd9FuDCk3iRC58bs4NcMd1kHIowjkSiBC3uu5fj/K3B/B8X8/SCBx219nwOG3nc/1u4X0/5QwRFIjhfHkSICd39vJeBTEyqNr9iG25/3ojI+uuTP4/pwBw73Jj/tt9swHzqNoJy223Ceb8fHCXyeWSBoSpbGRoVMWK/018kg8G2/brA93O4uxekwSlLv2jId4Fn2oiZGiKNjenrKzu83O7jZd2yGVYrGYU9UVXduSpAmTyQSjDZ3uwIr+5TxU3QdLn0BUbNoYhapHhO2B/bZpe4IgBLYm/oXVEoJlHfie5Tlt15JlKeAyMISUCGA4HPYAcFC1JGnKcDjE+O0I+SbkORaovA1R09TensnZFY1GI6bTKQiYz+fuGHiSIs8HbG9toXXnyRFJksSeoFj5jJGE2fEMgJ2dHWbzuSOPkrgPgbXGoj3BEYCtAGRtBrGGat8sS3tbrQAUOnLDZa40TctgkKO17PNOkigmzTLaTnpLE4OKHEDc1A2jydgNwGRDWXekRKT5CCUUZVVR1QYrYuoWqrqialqEdBXLpuuAiqbpUEqQJDGdFcyXR+zsbCGEpSpX5FmKii1aKIp6RSYjLBYpIU4Sd/zilKp0NiGRStje2SZNYhbLJZ1uyLPcB2C3DIdD4jju1Q+D4YCydCRcmqZ95XsAXINlWgCzpJSkSYJuu/6YO4u4FefO7TKbzQBL23YkiQMV5/M5o9Ggnz+QWaG69+jowFfaRj3QCPQ5IUdHRz1JIXx1fiAbj4+P++3cDFcPQFxZlr2aKoCKbntG7O/v90BaUFiFvpEkCVVV9qTDJkB769YtlIqJlCJPU7qmI0tzdOmuxTQbUNUtWRrRdQaDIk5zyqZFypjjhea7L36Hd9+5zhtvXWG2qJAiY+/gGINCygjddGgPphrRopRkOh6zXC1Au/CtOHIgWFOXtKbz9wyNsAaDBG1o2prVylBWpQfsHEnpzpPLQxBS0dY1URQyQiQW0x+b0ITwD21f5a89qO3sYiJHkFrrK/HbPmfJjf4kWTbg+o2b/Mt/+f/gF37xFzl/6RJt5+6TuusciCtjsGCExBiBlaCSlOFghEqHVHWD7mBv74Ab1/ewQmIjSTIcEKmIWEUMshxhLNJ2XHn7XapyxWiYUBRLXNdS1E1DEicoDC+++BL/i3/6T/n4xz/OW2+9yac++zmu37xFmmVoHFCaxBH7N2+C1ei2wUqn5tC6wyCQQiGlCzpWUYSSzqoGC6+8/ApVVVFVDWkiMRa+9a2/4Dvf/T47587x5ttXibMBsnUQquhBc9tb9oT7mt0kQPzfa5usk0/6QGr4x4Kf3yk4AvEphKtaWffxzaH6yeFZkLqvyZKzW3+tnHj6u8r0dcW/7f8F4iHcT8Kz77SaZL1PnJrPIqUjzC+dP+/6ZBRzeHCAFIK6rmi7DmNxREMUU7f1baRHHMdEUpzIHFkreMBKNyCWQcnjj0Xbtl4lEsogQ9mPPHFeNvNE3PLXlUZunetjHLZBKfd8i5PUk/SGKIkZjyZcu36DqmkYJimdNqxWK4SQjEYj8sHQZXKZhvn8GGkFsYo5nq945dUf8+Wf+yxVucTlT7jj8NOfvkbXdvz6r/86L730ki/UiPnSl77Id773XVarJdPplBs3byJF5LI+hKGual5/8w22t7bY2d5CSkHXOUXqF7/wBb75zT/tCxRC3lqe531W2ng85eDwmK3JmLKq2ds/ZLZYMh0NsAjiJMUa3ZPXWntlVuyOmeyrqtbXRmjFqnDKEZ+HFXLfxpPxifFCaFEUEW0QYuEe2LbuuR1FMZGK/H3RE45CEEfroPM1Qen6g1XO7spog7UCozVSKKx2BMiv/vIv8cMf/cipYIzpFRtN3ZJHKa+/fYXf/8M/5p/++/8OWIWQrRNgAZEMNloSISXWgBHGkz2Ry37CZc4o5QhE5Z+H4To7eQyEzyui3/cgKLHG0hmncg3P6q7riKMP9dD9o/Y+th4QtXd7onxA23sACx5ZpeL9LuNRARt3AxTuREzcZdqHOuf3Q7DcCYe913Lej3a/IM2Dbu9dpr/r6h7RcblNCXJ6NXYDFg/fe5XHCWLk9Pxn2GCJTRJF0Ctv4SyCILzL3eeOPC4Q7W7ru5/JHsl5enQ7dnJzNs/RWRdjGBP78W6vEDHOJij8C1Zat6/gIdpGn3ivi3oETdzh99unWmdNbE4XxAofhH158Paot/ruy7N3+H0NY9+JRT/ZZ+5F6oT7kN0c2AAhH+Ssq+3260ac+C7UKvbFjbjrJVaaNOrQKkJG1lkGIsDYe27nAzf7Ye1nvp118B/HDtkTP06uS5wqALjP9qF+uzK285XEDihOs5TZbEaeZxizYnv7nAdbK9rOWWcZswZlg4f25st4AIk2bR2CZ7uKFJGSLnRWuPDZtm2csiJPved9CrhqfG060jTDWEPr7UOEdLZIVVn2qou6rvuXZ3C+3MqD5pEPeka4wPUsTbHWEMdO2WKtZTwe9xWW1lfK5lnGcDBwoeDKediXhbPs6nxV5tiHu3dty6rT/XE8Pj4m8gCKXq7tG6QQqCSh8BWqAcAN1Z8BHA+gYtO0tG3TT7tpgWGt9SoRjVKyt5ECvHrD+cqHCm5jDIPRhLrTgCQfbAGCum2p5jXFqmSxWtK1hqptaBoHIGhj0cbQNo4Uc+dAEsculNZVaMZkWcZkMkJ3Dbu722xvTUmSIVa1aOGqyWMV0XQ1UlkHQg0zTwYZimLllTbO4qKpW/Is7a3GQkUrXqYK9MTVpqpnUxES+lH43X3n8hSkjCjLGmvXSqIsG/ZEjJSSsix7cCqQIAGkqqqKc+fO9cqOsB2hQjoEugd7j3A9hO82s0YCOLZcLnvLrtCCNVvI+smyzFVD13Wv3Hr66ad7YjJJUozVfdVwUBiFQOlIqjWgaaHtNGmao+KEutVkeUaSjWmNIklTlivND158kRdefo233r5OUdRoI0nSIQiLiodgQRtnwyWVRdsOKd1xPL+7hW4Lbl6/xXCYM8wmTKfbXL26BNvRNjVVWXDh/HmyNGV/b59Wdy7vRXcecBV0XU1dO0C589ZvVrh6nKRXhrjq91C5DqytsbTuK8zDOZJCYi2URenIAuOsW6y1dGYNDOeDEd/9/gu8/e5Vms6ws7vFeDzm6OiYNuroOkNVN7RdS5RIoiQBmYCIUXHCIBbEcYI1wl+PFm01dVOBMQhhKeYLhNZc1w0YTRJZqqokkhohfTi27Xz4dMTBwRE/+MGL/KN/9I/4z//ZP+O5T3ycLEvoiopRPuDc7i57N29yYXeHrm04PNJUbUOoULNWeNWNREiF9YoqISBNB/zohz+hqTuUjOi0ZlUs+da3/5LrN25x/tLTyDih1RqpFKpXQzjo0xF1jgQJzwYpXcByUHSF+63whqRCuGyScB7DsScQK6zJLYFTXEghMMJ4RYkBG6y7PLnS2xWE7IFN1ca63UaKnCJbhBAobzW0SX4Eon/T7rDvc6feADcJFaSr0B9kOUVRMBoP+eIXv8hbb7zJ3s2bhAwGpSRV3br7pgeFhSdBgjJg8xmySWKwsUeO4wtIMf22Wp9NEYByl4llkFZ6GbUbrK73JxxQQbCIOvnSGEgSF3jftO5ebKylblrqpmWxKoniBITEGGcXdnR0hFKK8WTKZDvDWOiamtVySZZk5NmE1954i0tPXmCQR6Spu0ZvXrvBznSbTz73SbJByhe/+EV+9KMfMZsdE8cRP//zX+Hb3/42u7u7fObTn+aFl15x4wltGAyGrFZLfvCDH/DlL3+JJHbqxDSN+cQnP8F8fsxrr73m1IZSsrW1xWpVsFyuuHjpEmk2ZLlcMRxop7RcFuwfHDLIXQFHkqZgup4Ysda6sc8Z/SKcs0CwW9+PexJQCG8bOT5BOG6qdoJdpDGGpmnWz0Rr0W2LimTv/WvNuv8qqUDirn/l+ynuVFvcedOdQXeQJClpFGHami9/8bN89tPP870XXiHKh3R+jCakQlsBMuH3//BP+OLnP8fPfenztHWNsIa2bhwpEchGpL/+3bgtXFOhCCROIhdqunFNtW3bF+Ns5rQE+b7ZuHdrbfvrpSzL3oauKMvb7gMftY/afTVxjwq7D2L7WRIaH+R2r324G950p2XcDcw/BZL3o48w1NgsTrfrv6099Wj916G936TIfZxv2w+oLFZ4YE/aNTFywlLL/7oJKokzyIHwvdj48/atI4yvHogc2Vj1Y2s/U6LzHjvzUOs4uUxxxjnslT3+e+FJESWcK0IkDbHUxFITCY1knS/yV+G2Gdq9n3sutyIkV/g3Ej+vH5dZHm8w9YehPfA1ub45uNuFL7Zb0xD9gsPRPvv7M5eKe3u3fWZImO/k/GcRMOI2HvhOuxYUI7HUKGUQymCVK2iSvtjxkbafNTn8ONrPYh/ui4B5MJbpQ02MxN42KmQchKr08CKf5zlVVfU2Pa7K1NnRtFrT1C115YiNOHIECrZz1iMGBJJIxQ6Eroq+qj9Jkg0w0+WaSCkZDocOKBqNADg8PKRt2r7STynFYDAA69QidV339lpADxI5ttLZUATSRErpKiQ9AaF8wK3Wuq/MD2B4URSMx+MekA+5FcHWKRBCi8Wir/iPY0doXLhwoQf/6qZhOBr2diu67Th37hxVVTGdTHpgP8sykiRhtVr1RE1YR7BVCgST9gBvmqRYDyB0rauAHI3H7O/vu0yOwZC66ZyNhu4YjiasViWzxYIoySnKkvlswWK5ouk66rrFWAeYGmvR2j3GtLG9V3yzcS6sbbHCqUDq+YJIrIjjY4SAd2/MyLOU3Z1tnrx8ke3dc6yWR0gVE1koyyVZGmMqjYosUayo64IoSpiMR7Sds8+wZq1CKoqiV0gEe7fQJ0Pg+nK5JEkihFD99AFEajxB4rJNHImRZVkfXu6yYiRV1fT9IpANmzZeURT1SqNgHbcZnGut5dq1a+zs7PT9LgCR4boKtlnhnAYrl0CuBCKsaRr29vZ44okneiBrOBxy69YtwNnPhSyRkD+zWCyIk6i34Qqe8QBCCopyiTYdSRojydCzgqPFklZDlmbUWvLujUPeuX5EVVW8+MqbvPX2NZo2Is22UElJtVyBMrSds9uyGKIYuram7RwIF0fQ1iuuX3uHrm0ZjwYY01EUC0xXg2mpqxLjA7mxlrZpmM2OkZHCCEcGOKWYpa6aXmXgbH8skZRIa4mkQhunLDE+HyKSCrxiSnct7qXCKXaSKCaSEUkcIwQsdYfWnffAhK5tsUISxynGWKIoIctiZrOCYmXY31/yiU98nosXn+Wll1+hEw2D6dipUYTL+VFRRhTFHvztMN6yahC5/em6FuyIJJIUqwW6qUijjLYpkBiKYomQFqVwhAaAcERmLGOEVXz723/Bf/af/e95/vnnef3113juEx/n6PiQw8N9Ll7Y5YnLF6mKFc8+/QzLYsHR8TFvvfU28/kcpWIs7vjgSQlrHUCa5UOu37jJ/t4h49GQsin5zve+y2tvvMX1Wwd81giiOKEoHWlnsFghENKRESIEqPuykU31Urg39vdqT9g58sM6ZVH/ABYnyJH+n7B+W9cV95iTeSZh2b3dU1jimSVr4rbve7zCL3NTjRHuw+G+ELZh02LqdM7IJpBt9drKyFrL0dERV69cxWjNc88+y5tvvkGw/ZkvVo5c1Z17sbDrbQrHzoiTyw/rdcpKC9b2Sh2tXZ6INRYRjlc4rgaQG3Zg/gVmrYIJL+eBLHFHKny3eY6CAgbpAP/RYEjVNBwfz0izAdpvu1KuTxwdHXO4v0+Wp0gZI20C1rJcrtxxVikvv/IqX/2FL6G15dbeLfIkYzKaoBA0VcVoNOLixYscHOwjpWCQD/j617/On3zjmwxHYz75yU/y1ttvk6YZXacZDkfUZclrr73Oc889w2K5JE230brj7/ydv0OWpdy8eYMbN24xXywoq5q/9bf+Fv/4H/9bXHl3j29+68+5ef0qO9vbGCOYz1fUTUsWr7NAHLHrwJA4dqH2TqFmT5yzAPxrrZFeCRTGJG3bcnR83FsjbmaQNU2D9uOBwWDQ52+F54gjf50SzKl7NhUqflyiTxr8qkg5shSLlBqVxC7rR2uiWFGVBdvTMX/vb/9NvveDFxBWo2SMts4yrDGQJznHsyX/v//6v+eLX/oCh7M5o8ypSrTffwQ0beMLV3Ks0b39XiD0SROkUsQb1qlKRhDL/t5QN+7er6Koz8pRPnenL5apW7TuyHKX5bLaCLj/qH3UHqp9mJGdB9z204D++7Id95r2bgDCQ6zHbvzef+brA6zABcdKB467+3yoHg9BzGE8ZBystJEb0Y8vjPDvXBKtBdoKbCexWmC0BA3CCOfBfhY28bj64P2AMe9l3Q877/0QW77dtTtsfHniPN/td/+3DSTIBiki1PrcnljzRv8RG3+vF2vvvr4zduT0ENaeMc3pbb7v9iAg3ANeU++9q55xXB9xO31s3TnbfH+wJ/5J6UKlI/8vloZIuPuAEGtY+T1s0XtewuNqd+aP1+9QJxMsAtjOOqfnxLI+OA9Ue+rn41vLg+2z2PzFX/ibvSwcebExzZ32YU1XeWWIOHn7un2+k9u7eT9ztXW2J/RPbxG4Z2IkDInqiJRGRAZiC8a9y5/Yv0fUPvQE3OOuwLlXEciJie6/faiJkbqpPZic9F7OeZ73L6CHh4d9xWOwlUBIlIo43NvryRPtvcQHg+EanLHB99ktK8uyE9XzwBoI8P7Qq9Wqz8oI1fp1U5Okox6QklJSVzXxRnD7YDDo7YuAHkDvus6pNjz4HQUVQVVivM1FALkCuBxFEbu7u4AjZsbjMeByVQaDQe8FHqozNwmT5bLkzTffdBWm29vcunWL7d2dHlw/Pjrm8PCQLE2pq4qjo6Pe83o6nWKtZT6fk+c5uz5gvvbB3YG8yfPcVT62DmxSUtFoF0QuffVk1wWww4J13v3zRcFrr79O3RgWZYOxgrbtaDtX2d12miTNEEjKqqHtNFJF4Hn/TCVoKfz0Lqy+9hkbcTKlbmrq2lX3z4qaWGmu75e8c+WQTzxziU9+7AmkcNkKW9Md6nrJqnCB5O68pyglHdBjnJ2SICbPnUIikGlHx4de8RP3/WZra8sTZ04N4gCktD+WWZYxK0sw1oNDgieeeIJbt271/a0oCg9kO5Iw9NmQl3N0dESSJF4ZM2E6HXN4eMje3l4fbB9s5IICKUmSvhpaStmHqgeAKyiehsNh3w8CsFmWJefOnesJkp7gaRp2dnbWwbueqApWL8pXJTdNw2w269Uiy+XSrSfL2NmekmYJN28coa1gPN1munOO6XTK/v4ef/SNv2CxXHB8fIzVALE7T0VLWbeUTUtrDCpWCAzhrS2KLFiJsBZl3XFsuopOt8SxQghLU5cUyxlYw2rpfN6jKGI+n3k1hOyVYUo54q1rWtqmQqkIrTviOEEYl/ni+rjBao2xxmdbdHRd7a9VhZS+YjtyhJEUzhotTRLquqIoSqwx5FlCmiRgW1oN1kDbGBqgaRyxNp2cZzZb8I0/+UtG4xFRkjDdmiJlRNNpojglilOMES47Rwni3PYV0F3XOEs43YLViFjxzJOXGQ8yXn7h+1jjVB0KTRQlGGFRJqIzzt5MqRg8MfHG62+xWCz4yle+wr/6//y/ufTERfJByqpYsnfzBr/xd/8e/8//4l+yNR4TxYqPP/cM58/t8tZb73DlylXKukWIqJe7au1e4NMkY7k65p13r/LLv/yL7L39On/wR99gNi+YLwpWRc3uufMU1665AY23HrOhViioqyyebDUnqtw2rYOEV/2sMz76Yhj/c+MV0q6HWsEi7fZ2+iG+ttg5vZzQxMYIrycFxBq9CNOH50+41je/27Qx2vz+tIqjt8FLYtrG50EohfIZV3me8dRTT/HWu1f6QgBnwRTRGd0vN2SEBLXNpprl5O4HQoPblCJyk7QK82rbD1LD7Ov9dwDQOsfEbgyMN/bXzx8niSMnjSHNcxbzFcuyYjhww6ZOa6R/rmmt2d/b49zulPPnL1NWhq5tMaZEW81092Nc39vj1sEBsTAoC1vTLYSRVGVN6vOmrly5QlEUbG1NnYIrivjlr3+d3/qt3+KZZ57j8PCI2WJBEie0uiMfDDg8PGR7e4vj40Os6RgOMna2t7lw4Tw//OGrdF3Hk088yX/wH/4H/NIv/RKLRcHrb1zjS1/8Mi9ow3JZkMWKxXJJ23bsTLcwuvMKENVbPIbOq6REqs1aq3Vr25YojomJ+3M8HA6dtam3DN0k4dz4xfRE+2YfC+oqd0/VWCt7RY8jY5wqyQWst/02RiZCxpG7dgzumWLxxQrWYUICfulrv8DXf/kX+N0/+AbnLj9LU3VI4bLKVmVDnqT85Xe/z3/33/0P/Ju/+fc52LvOMHMKYMApUVuXGaONIVYKa4P60+UINY0Psd+4/qJIEfn9MtY6QsaPsbquxbQtwsmS12H0SiJk7MjCjWy7j9pH7aHaBxevuu/2vm7+A7zs36/9+H0vco3VnL2+zWkEvUrACrAKTGSxEdjEYBMDqSGKNCoyRLEmUR2p0iRSE0lNrLS31zEngEKDoDOK1kgaE1G1MWUb0VQxuozQZYSoJaqxyNaH3tqToH4oXnjPx+R9ag/UBx8RKQIeMLOnzvUZi7OnPugVIxJQnFSMnEFwrIeWm+D63bf9Llt95oT36M4P1h7Tfe3uu/cAK3yMHfq0ssf9tCe+C8NbKUHKkxZajhzRazst7Cli4GHaB+8hsy6RepjTsSZHPqht/cb0GAmbB77Obiclwj3s9ILOvL+cWnX/TogrMt3U9txOZZ29kJPkltu+s+Z3unAfvi41iRKoSCNjA7FBaAmdW5i196EcecAb3ge5r92z9ef48S0fuP0giTv8u8/2oSZGjNGUZYGUzqd/d3en9/yu/Yu48+KX3moop2tNr8YIYHVd1709SnjpDvYGgXjYmkwR0lkDrW1HLMqHZyIsw+GAsixBW5q29i+7SU90LD2QKqVkVbqsEbkBAgSbhJAtEirvAxAXrBS6rmXoSQ7AqTKaBmEsSRx7xYQjSgIItLOz04PQAdQLqoOgcInjhPHY2V1Udc3u7i5bO9v98Y6jGN11zq9bSsbjsctvMYbj42Pns57n7O3tsbW1hRCCo6OjteJE6z5k3FrL9evXPaDRUbctg+GA0WiMsZatrR1Wq4IrBzdo6o6j4zl10yBUStVJmtZQVjVSKuI4RVtJ3UnaVlNVjhQZDkZIFVFXNfNVQz4eIIxBNx0dYKSis4Ki1AiRgIVIRFhpMVZgGk1VVZTzn3Lz2lW+/vWfZzJJKYoZUSSZjCc9mJonGW1TI1SEMJbJaEiSJMxmM6/0iEEYbxvmrtDt7W1u3LiBMdoDP67KdDAYcfXqVXZ3d3vy7dy58yxmM6w11HXN8fEx4/GY2WxGpzsmkzGDwQit8RX1iiSJe8AvEBHgwKtbt27Rti1PPvkkBwcHfejrZDJhtVoxn8/7SmB3Da0D1MP1EcJywV0XdV33RFxZllRVxWQyQQjBarWiruu+34XrqygKn0fj1E2j0ciBbz47J1iQjcdj8jzHSmhMQ1lXjMYjLj19iaKB6zcP+NFP3sBaiOOIru3QJqbtDFmSUDYd1hh3nY5zptsjBlnCrb2bNE1NXTVMx2PyZMRivsB0BlooiiVpGjPIRnRtw2y1BJxNVJLEaO22b7la4Z4CgrZtevuXrhHeWsrZfyVeoWO8CiRJErq2wWhnMVcbl6fgALSY8XhCkqR0bUfXNkghAEPiFV6LxdJnC6QMRyOy3OXCdEWLMSBVTBxl5HmElAnZuZznPpZ4ayxLoxtXsW8giV1Yt/HDDSEFVV2ynB/TdS2jYc5gmPLUpW12d3eYTMa0Tc1qcczi6JCmWhIpy2y5ZDga0mmXMdE2GhVnRMpZcDXeRrDTh7z77hU+/omPEyUJe/s32d09z2gw4Pr1qywXM5566gneev11Lly8QJYnXLxwjulkwnA45PU336UoKoR0ORAhBM1lBXRcuXqNJMt5+eUf8fprb2IRdJ1lNlsgVEzTdmRZ6uywtCNA3DXqw8U1mM54soET4H1QQIV/pi+JFP5685kd/okc5ocNkkOwtiS0FmP1unzulFIk2HOtP1tnFFi7wYNsjio3ft+8ltfB8OvPwzPhrKyRTSUHQBRJ6toRtcNhzs2bt3j37XdQEqIo5onLT/LU5cu8e+0KCEUUK5qu60mnTRtGtwPmxGebpJPAOiDaOoWItGA2iZB++wAvpJbIjVcXhfD5JEE1sz6m68qkTeVDIJ+bpkbFLkS+qipu3LjRk7YqirBW0LaGJBYYA4vZjFvXrnPx3EUm4yHLQvvsJsnh0TGTacYrL7/K1776ZbbHExbzJduTbaf4G+fc2r/FwcEeUaSoqookc4UO0zTnK1/5eX7845/wuc9/ju99/wdY6/PPgNF0wjvvvMP58zsoKVkt54yGLsT9j/7oj3j66af5z//ZP+PipYvkecIPfvAy1giapmNrOqVtCoqyYrlYuuIKFVP6PCyt15k71lrw9nECgbHrvhKOX5IkKOEsrsK4RUrJcDSiLMtexbipGhn4Ypa6rtHeZjCMiSTOSnBNDq6JPLd9XU8ah2KDKI6xEtqu7RUYUkinsMMptpbzI5LhmP/pP/hN/uSbf+Gz3zJHQKiISCY0bUE6yPkv/9X/l1/5pa8xHk3omtrdGxG+sGaAiiOUFFjToaJA5LjcEOHJjbJtiVSE9ESuDaoTf+x0Z4HOj++0J0ZY591sFMv0iraP2kftPTS78Yh5rAD0fSz8PfXmnxV6fhZw/SDrvtO0oYDhQffjLFBAgPWWSDYA35ElVoZIdahYIxODSjpIDaQakWniRBPHHWnckUYdmepIVUfi7XWUMCgfyhxWZKygsYrGKKouomhTVm1MWaY0y4RqldIVMbqI0aXCthLR4RN5xe0nfXP/7YkfD95+1ozK/a7vjN1+4OWe1V/OmO40KeIIEdcvrCdERCBGgM2MkNMkyW2Lf9B+3y/abnx4+zpO18U8VHuE5/7uIO2pjX2U672vqW4vojrz7w1yRPj8EEeKWJSwKGnX5EgfwG43Atgfpj02SP49tjNuMu9pGR/cdjpv8nGu6WHW0ZMjd/quX/YmoWL9POFGejrb42zy9cyFCxD29Pwn2yZxIrH9czBSBhVpVKwxHc7q2ZzcnnsejbtN8FdoeP84cunhFF9/ah321M/Tv9+rfaiJkSROSBIH9nZdx9WrV0mShNFo1KshNv2eQ+X+fD4nyzLn21yVxFHcg8bOM97Z/ASyousalquF84T3L+FKKUdqSEXd1F7xcey2K3FAchwlCCV7iylnC1STZc42KI5ipFQsfaVmksR9hX8AxEM4PNBnSYQcgQAeBEskay1tq0kSZ4ETciLqumY4HKF1x/Fsxmg47MO227ZFSInyioBQxTkcDNwxMWv7kiSO6YDBeEzTtr31Rdu2PPXUEwAsFkuee+653uLs8uXLvbJlMBiwWq0wxoVYT4ajngySUcRka4vZbMFwNOHa9Zvs7e1zeDRnvli5EHYVU1QLWhKQMVor0jhDJRm2M2hj6IzFihhjJauyxdLStZq2a1mUh0Q+HFUphe4MVkpXkW8s1kqa2pEqnbUoldBaS2MVB8cNf/LNH/D8p57imSd2EdJgTM18PqPtWqaXJxSrEmXcA6muHNlW1zVlUbK1NXUESp73FbiBGCrLitFoSNe2tK1TCT399NPM5zNvsbWibRpX8WqjPhtksVhybvccy9WSKIpYLpdYK9jbu8V0usWlSxf6sPOg1CnLsrdW67qO+XzeVzxrrTk+PmZ3d5c8z1ksFk49EkcUq6K3EAr5CpPJhKOjo76i9cKFCxRlwXKx5Pz588zncwfweZJvMBi4C1dYpIKmrcnzAVXZYAxEUUJdlwhJT1TGcUJZlAwGY+bzAiM0eTZkNBqxOzzPO1cPuHUwp9GCJHH+/m3XOo98OuIkou4aEqFIooim7ZACdFtjIouwLbariRTkaUwWK+pIYQ00VUVdlcQRjMc5b7xxjdVq5at1DWVZ+P5f++2PfFV0TKdtr8qyQpEkkrZ1dnq6rT1Z6ID5rql6sHA8HHPu4gWm44kHHNWaFG1qrNFo0yGkoSwrGt2ys7tLnCTIOEZr0DbCCsjzEePJozZzKQABAABJREFUtiNE0qG3xWpI05TZbEEUR0ilMF1DVVZ9sG9bd8RxxNZ0wvnz25z7zMd59rmnmW6NOTzc43h2xGq14t23fsqVd95ldnSAaVsGeUrXNnz605/ik598nt/+H3+HfDDGpBFV09J2ropedx1pHKGN5lt//uf8p//p/45vffvbfPMbf8zW1BG4VVHyzttv8/wnP8mf/emfsljOifadAiyKYob5gK3JiLbtqBvdWyMF0npZNtw6mDFb1vzWb/8+124eAIqm09za3+fSE5f9fdQAIWMDjMbxEiiM6dDW5UsJqRBCY3zuQpZmbggUrKZwFkOyJxG8/RMghHJQqjA4IZwX/xpXTiGks41Cav8OI3GjrPXwMOSQnDmI8/t9gghhY8zgVR3SX7vuPmIRQjpA19KT14HwWZMuLgNFCukqkayl67QnWSLKsmSQZXzm059CG41EUBQVRmt3D1kWqCgiz3OatsFYi9ogKII6s1cksCZG3B/eOgmL1cbbaK0BeQQuZ8JX9eBJjWDbtSY9ZE9s4ffDWOPyH1gfOk9j+eeghU4TJzF1VbPwtmDhXIfxRd11Ts2nYg5nx7x77QrPPPtJtGkxLZzbueSVq2M6Y+g0DMcTpBXMl8ccHx0z3hrz49d+wnKx5Nz5c66AoBZEKqJrKj72see4dvUqTV3z7DPP8JMf/9R9Zy1dB6ZruXHjpsvGihK6ruX69ev8i3/xL3j2uY8RxY50OjwsuHlzRmcU+XDKeLrNzetLpqMhbddx8+ZN8tRZ9EVJAqbryWkVKa/C9OdiQ0kV8tmklJSrolcDhusxWGSladoXCvRWj348FdS3m/ZtBuMBk7Xl2Sax4vK2FHEs+zFN13VY6XN/IonVuPB2KV1hC4bBIONwfsRXfu5L/OrXf4nf/YM/5dylZ1zxhZBoYd12ScHR8oj/23/x/+I//d/+b2jrhkg4EkS3NSJxxFnT1AgMwgrw+UGBJOm6Dgu0XUfTdD2BZIWzaWu1piycohARbG3WOSyb9n1pmnqFyvL2+8BH7aN2Py2ApBsYQrCQeD/a+44B3KuC86yX7sd1sE4v934OTiBDANsD32AzA7kmyjuGg4KdvGA7WzFJSiZJQRK1yADwSINUFiV1b6sTQpilMK56XDhgym2WU+JrK9BW0hpJayIarSjbhOVWRtFk3JpPuT6fcjQfYVYRqpCIxhWiCHuXatKHOQ7vR3sUxNiDTn+yZubu04Wf0mIlPSliI+usYCJzYvo7buKHAwt+pO39IkXur51e/+0XyIb4uSdFRCBFeoLEgb3Rxj+nFgnqsIcpwrAnut4HtT0cnP9ha49370Rfgnav9Zz9/f1s3amhiv97XXT43lvQndx7OwjkonLqyijRmFagpfUEQFiSuPOY6l7jjfud5l/z5rAVzj5Ggo08rY3f77N9qIkRa0GpqLdjGI8nfbizlGvLqKqqepBVa81oPHCWVrV2nvDSYvHhz1HiCIy6cFXyUjjPaj9+iJWiKitX6TgYoKQgjVNWywKBq1Y22iJwll1CKsqq9OD0kKqq0Nqyvb1L27RUXkGRZc4yyRqDxAF2RVH0ihVnfzTtrYnapunDrLNsbWuUxQlt1xInGVKGIPeYla/Mz/MBq6JkZ2eHNHdgblm4nIYsSYlHI/JeSVOBFAzzjDRzNkqL4xmrhXspz8ZTrNaksUJ3rbOTSCKquqEzHfuH+wyHQwb5gDROEAZMq8mynKoqiD1glmYZbWeoa0NVG9585zXeeucKZdlQ1i3WCKSKaNsCFaWgYqpSo42m6SrKqvNgmKsKTpIMg3UV68ZihAMY0iR11cBYrO6IZAArja84FyCd7YUW0LYdUghqE2NEginhp2/ssZivyBLNExe3EcRkkWJ+PPfqF0ESpxhriWXMuW1nJdO2LcZa0izpAcjd3V0WxzPSKEbXHUYbRvmQd668SxyrXk1hraVtHDlmjOX4eM6FCxeo65aqrCmWpauUTWKkFEwmY+q65OrVq70KqizL3vbKAU+S6XSbsiyZTqYcHR6yWjig/+jwEG00URwxX8x68mowGBCl7nrSRjNbzIhirySRirIqUEoyGg+ZzY+x1pJEMcvVos9BqaoSNCBcf2lqhat+F7StRkiFUpbBIHNB9lYwGu3QthYpcrRpGWRjUpVweOsmy8NjurLDWIG2Low9ThNMZ1z1rwBhO1KlaOsV1jjiq16toGtQQpLECbGKOD48wGjj1BlaU5UrohjiRHJwsEfTVCgFdVMChjzPHcBVaJqmAQFRDNq0xCqhazRxnLiQckAK5RQtaUYqJWmcsLW1hVKK0XDApUsX0Vi++4Pv873vfY+dnV0+99nPY0wHaJI8om0tSsR0XYOIYGtnShSntFrQdlA1LYaMwSAhTYe0ncKi0bb01diCsu1IhwJrW6zVDAcx0/GELE3Z2d4mjiJSX129XCwoijkvfOdPuXHjGovlAotB4ILfpZCMh0MHEgJbu+f5hZ//RYqiZJQPqZoKFUUIoUF0RMoSZxGRimiajhs391ksK57/5Gf4g9//Q44OZ+Rpymg45Kc/fY3f+I2/h7aaoqrIq4ZiWVI3C46OjjDGkMaSrmuwpkMohRIuHwoky6Llz/78e3zjm99z3tdorBRUTcFonPf3/BCC3DUdWlswHlCVTskhpMBqjRWCSEZIL5eVQoIURJED2W1naHWH8uoEK731Ew5ANkb71wwHnmprnSWaSlkdzwCztoGy67oTKQUY62S67kv3ouuVFAgFSoK2vQ0ROLLFWJdlIyykUUxdO6USuOnd9jmlB0CnO5ACpbxFmTVYo7HC9Hks0t8/jHG2ZdZalkXhSN6iAASrVUFRlMRJRt22UDdESYywhq51JEhQiZyVa+Iq7t25Mbrzdmeb+RKuOXWIO07W4gAXfEURYJV7OzQhl0QASrkBrnTKEiMskRRO6WAF0liXPWRBIhikGUVdUxSrnmDBWjqrXdaXt6Gou5b5ouSNN9/hwuUnSZKYuqk4Pt5je+c8VamRSvDyq6+zNd0hjSTDcUY+OM+f/dm3mM3nbE+3UShefOFlOt3yq7/6K0gpGQ0zfv4rX+K73/0+57a3mZ0/z2q5QmtHtrbWcOP6dZJYMchTdna2sbblrbfe4YmnnvK2TYJ3373F0XEFSLI8YbWqOJ7NSaIxkdIsi4K6bdiejGnbmtWqYTDIXaYQFqwm2JtFkcIYeuLEZRoZ0nzQF1ggIM8GpPmA5bLg5s09PvGJT3DhwgWsEOzfukXdNIxGQ+I08ZaQbkxntEGyDnUHR9IF8s71delJ/Q4h6J9VSZ7SmQ5rBEkyoOssRhvSPEPbDoNmMEg5Ptrnn/7P/j3+/FvfpTg+IssHoARWOFVqKxVRts13X/wJ3/nBK3zlc89jqhV5niGVoGpbmsZlOinDBuknPHHjilxUotygwrq+Xrc1tm36nJ8kjXvCJyinAtkUlMJJkmBt46+RDcXVR+2j9iDtNGrlUYf3/R38vWIcj3P+O5W1Pop2H+s9CwffVK3YkBERWURiUalGDlvkpCUfV1waz7g8mnMpn3E+nnMhnpPL1gGhrC2yxB2Zio1mRT+OWUOnTkFikZQmZqFzFibj9WFFm1uKRNFGKcYmWOtsaelu3/kAPp3YilNFwB8kIPM9kWTvZUdOz3uHZVmx8U9aR4rE1imJfLbM6XkfdrPu2nNu67Rny4XuREbYe67gvbUHIkH6mR7HljxYO7HdJ66RdYj1mhRhTYiIoBZxmSKBDI02lGEbuOLt67iPfX9UsPXPolk4YU33YdnuzXaylz5uQoQT1/TZV8jmNoSb+MOqS9YPgZMqgNMKkfVGBZOt26mV27dxUz17+lu78YvAXXNKOmIk7jpaJdHKghZY49YjPCtiTyzpzFXf+eP7EL984NtjHlTe+/n7cBvwoSZGwst3UIdIKTk4OGB7e7snQwIxEioXg51GUDqE0OfNUNrwM+SKaF/9GvIVtre3+2p4971hurVFWZYuPDqOfZ6ARkJvExTA5WCJEIKssyyjqipnuxQ50FApBS3eOkH0JEiSuFDXEHoelADS++KvVgVN25HnEikd2LUZbt22LcPh0FXkx06topRiOp0ijKuCHY1GvP766wyHQwfgtR2VLvp5d3Z2mHlbpxCSG8euEhljGQ0TjDVMplOf6+IrPqXz4pbS+Y4bramqEiEVGsm169d55Yc/Zf9wRtNa6qbFWE8wCe0UF3GEkq4CvzOuUthZfIgesNGm9YG+GmO0qzmVzmJJAcYatG5dxStuVjwwZ2wQwwVbFUnVaOJ0QN3VlLXmeF7xzJM7WCLqqqQpF0zHE5qmRcXQNh1aGwbDIZ3W3g4jo64doda0DWmSoHXH9s4OWEtV1kihqKuGSxcvsXfrFqORI/q6tgNrSJPU9wdYLBZorblx8wZpkqCitLc4m0wmHB8f99k7mzkC4/GYtm17a6s8z5nPZ70SIkkS2q5GesAJXAX3aDRy/d8HxzdNQ5amPTAVpjk+Pu77dZqmPbkTbNQAn6uTYXRDVVXEcUrrrdSMMQgFTdcS5yl100JnyLIRVdsQpznff/EVrt64SZyMGI6HGFmzWrUIqxnkiQO/jFNOHc2OGGQZ0JDnMU0LWHcdNHVJHCuSKKauXZV717VUdY0x2vdbw3w+89d5h1QC4R9+Srnrx9mURVgbrGOUs9qKYnTnrGHcOU9J0oTLly/RdR3j0cipwgYDVssl+wcHfOd732NVrNjZ3aUqSl584QdcvnSRLE/68OHD40OmW1vsnjvH8fGMtjNoHdFpZ7/lgDpF3bakiaKuK4aDlK/+8i+SZi4npGkrimKF0Y78K1YrylXB7PAWx8cHLJdL6rKgLktvVSNQUcQgizDWhQxb6yyMlsWSPE2ZTqZURcnv/u7vef/9lkgqirqiafwxtU6VIYC2aTk8nvGNP/0Wf/mX3yXLhxzsHzEeDUnSlP3DI6qq5uLlJ9nf2yeNV6400gOgXdN4MlvRtC0YjfRKlMnWFm+89Q6vvfEWM28RZIXtlUir1YI4Up5dl26bvOWSNgZhQEiBxBGl1gOyeMVDyK5iw05LKYVQEu2Bf7v5nw2qDkduqhMyBYFIE6gbgr2Ol7/468+/pIjNgaEl5Ju4idZKiM3w8SxNUZGz8HH2en6xYjOkfK0WCdf7ieyOjeViXW6DkKKfLuRrzedz16/HY86dP0+xKjDCKcUckb/yZPXamik8e08TJO4n/XF0jubrkO+TGSh+MLqhNAhZISfsy6yv57Eu1wFcuKyUTjmjlPLPXieLVlI4Yhn3/NVdy2g8pW47mrZlOBq5e/Fsxs65cxRFQVHXyNWSxXzO7rnz1LWTIZXliiTNGU3GNI1huSqYXNzGtgWxkqhI9lZQe3v73Lx+k0999lM9CVSXJePxiGeefoq9vUOeuHyZl19+xatDA6AuOTw8xEwnXLt2jeeee4ZXXn0VFad84QtfAhQ3bhyRxJlTN0nJlStXKIuCdpqzXDXM5jNnaWWHfeaXMfgQ9QaE7M+DI9PWFmRd57IxArHhOzedNsSxYnt7m729PQaDAbdu3erHNmEsFp5R/TkMuTdWYjEgIoz/XBu9sQ6LMRZpHaFlrFdr2fV1J71tqVQSgUVbQxanGCv53Gc+xb/9j/4h/8W//FdMJmMa3dAhEDKmM5AOhsyXM377d/+AL3z64wjhrCKlkuRZRufJWOWCV7BWE3JGnJ2eJSLyYzfRP5OtxWevpf11tKloCn8HdXC4Rtw4rrvLyPij9lG7RztFirzvrMgHFAB4XDYQD9xOYUwBEAi5ITYGE1uSQctgUjEeF2yPFpwbLNgeLthKSqZJySSqGKqagayJpfY5AgF4Wv8Mq1zXi59kJizr53NP3giwVrhAZyAWHfUgQgjLKG64FU3ZY0qpMkQpUbWAzs/eP+vP6AqnP3i/+6pvD02KPOo+dTfSTtDnidgIFxYcO6WIkPb+iLC7rugBT8cd7zV3RwEf5y3q7qTInWZ65Jtxn4u+n6MQENxNUmStEJHeOitSPmxdOZWYwvT94Y7bcC+c+WfaHk2v8G8P6/cqy4c29LovvPsgNUGfJXKP3nXWrKzfeG+f90ylR1ifWJMU5gxShf4TeWpNd2rrb2UgE5VBe+Wd1Z4KNGdcHPYDccH8a9Tsyd8ekKX9UBMjPQCCe8GUUnLx4kVn5+BtgwLokiRJbxWjte4tZdrWhRK3bUtRFAyHwxP+12H5IRMh/B1sG4QQGOvIh6pyleFZliGldMoVX/2XZc77v/be3avVCikkZoOUkVIyGA79/tS9ZVEIunYViB1Kyr7yf/Plues60iwjSenDsofDnPl8ztHRUW/RFQK961r31l1N2zDM8h7Ink6nPcBRliVKRX3AadgOKSVIRZINiKIYbQRdXQOSzodMjycjrDE0dYO2mihRaNNijUUbi5AR+wcHXL1+i5+89gaLVU3dWsqqpdPue6kcAGMBZAyyQ8X+s1A9aqUjNYz3l5eOLe50S6c1IDFd68EFD14EmxjpBvQg+ipwwsDfOlCurkuSyKINFFXJ/sEhk9ElnnnmWW7duEKWJs5iLUqo6wapFPOlC0/X2oH0SFiVhbP/UA4gyfKctmkpq4I0SWmbDhVHXLpwGSkVZVmgfQiuOzcuT8RZkhl2drYc+WMMUka9ddVkMqGua7IsO0Ec1nXdW7KF85gmKePxGGsti4VTBGxtu0D6EJweyLfBYMhisWAwGPT+7ZtWdUFJFfJBApkWwmXdtsQ0VYdAkmbO9i1KJEjDqihJs4i261ARJHkGViIiQ5RHHB4v+OFrrzMYT1kVNVXbuWwG3DkeDlK2t7dpu475YoZpGkSaMBqPGQyGXLt2jbZt6NqW5XLJs88+jZSCo6MDtM+7WWcI0d9bQvVz2N9gk7UOrQ7AuruW48RdL8Zfx089/STT6ZRr165x7dpVLl26yGx+zN7eHpFXt+3v71OUNRcvXuT8+fOURYnpDG3jFBFJElNVBUJIilVJmg0Z5GPqWlN01tnJ6Y5IKpLYBbUb3TIepqSJ5Pvf+zZNW1JVS8CgfRi26YwDR9uGJFJYn9chBSSZA4bbrqbt6v6+aHAKHaMtGsNiteJoPkM3bT8IqmunoumMobWa4XDA7rnz7O6ed0HySjEaj7m5t8dnP/cFLj/xBNevXaUoSpbLBXXTcXA049lnP867715lMGiR5UZFuSdmVRQR4QLmpfUWisCPf/qay0Ha2qYsV3RNQ55m/K/+o/+Y3/u936FrGnfsLVjtKuGttTRtSyRAxhFSuCoQ7fMrAinddR0I4YKo/U9jDNK6nhgA0f5Z5X/2oL7/IIDDSkpsyPow3gZIbgSSB/LXA/whc8SpOMR6JO+fT+56d/ZZSZKgZOyX6Sy6QuZG2B6t6QHukxU5J5vr6+7TkFvUtC07OztsbW1xcHDgbJKC/Y8nc9MsYzga0rYNZVmyWq36goVwPgMRe8JKyXROsXLiWluPcNxx1kjhVDLrbQz7pQmZEHKjPDL8GrIcQi6XlT70W0DXaVQUIyQU3g7TkVyO3I/jiPF4TLla9cA+RlMVBQf7+5w7dx4XH2N8FpFT77RNwztvX+Hy+V2MgR//+EccHh2ztbVF22jeeecdPvOZzzAcjfjt3/4f+drXfpGnn37aZ0I9xc1bB+zunuOZZ57hjTdeZ2dnh+VyjgTq2j3jq6pmb2+f4XDE22+/zWAwoSoNhwcHjpQzcOXdd3j3nXcYjxN01yETxeHhEUVRsFwmDPMcFcW0dYWxnetzwr2MBGI02Hn2YxOliKJkg7hyz9rVqmI8HjMcDnn11Vd5/vnn+8ypKEr7QpGgoAjnWkoQQjnLT591EqaJonUmjek6DBYllQtBx9J27m8lJYoIY7Sz8rMNVlh3zQvFfDbjN//+3+N3f/cPWSwX5JORz6JzeTNV5e7hL7/6Ct/6i+/wN3/1F6mWc08SapDCkbQ4Mi0gfZvkhtHr8aSUkizL0No6EttfA8E2K0y3qSAJx3Ozf3/UPmoP084E+z+I3elxbNMZy7wvaO1RgKdnrUjc+/vTHwdbCKNcsZlIDCrXJLlmNCnY2Z5zfmvO5eExT6aHXEgW5LIllR2x6JxPOsa95pxa+Wn8wJ76GTbAAlZsKFg3gHhlnF1PLDpMJokjzTBqiKyh0jGtUBgZgVUOxAvxbJ6FObGuMzbmvkDL94KX3se5vuM2PsZ13m/bvL6tcH3EKLCR7YkREdmNbJG7LewxEBJnrc+G/92FHHlf7lEbe/8I1/9eFyVOLOSMMyRsPw4R2JPkyEauSOQzhIKFlvK2eZuU6Ae3Partu3OVgD1jqg92E6d+vp9tfT0L4cuN+/vJvc6dONHH10Vyd5ra+v87WsgKsSZj/HNqPYQ+bZ1lEXatsQpLvPOWgZSOGImVpov8/VT7LTxxA95c3D3IkdPFAR+EU/iw7VTRxCNf7v22ByREQvtQEyOArzh3FkGh+nS5XLK1tYW1trch2LTtCFYFm8HUIfshz3OAniAAesVG+H6xWDjLiDR1hIQ2/feBZAF60AghehBACbcdWZqSZ7nPhfCWKj4s3akBnM9/AGhDJkpVVQx8/kfbtj3BE5Qt2lcOBzDXmI7lcunUHH45IVMiH2Q9oBGpiDR3FlROeiuo25YkSYiFq9KW1jj7EeGUHwaIpKKuNbpzYImxgrZpHOHSOkVN3bauCtdaVCSo24o0zZBaslwWvPn2O7z19lUOjmdoLSmajqYxGKQDZGiQQtF2HavKBd8GAE9KRZpmpFmKVLJX6mgcGOGOgwPutZAoo1xlpzXg1StSCqRQCKlcRYUAhHTjdW1REQgfnN52LSYWHM9m3LylGA9TtrZ2aZsShXsATLdGCCEYahee2nWauq6w4JU1NfP53CkqVivqqqJtGwaDgQPjpMs/kZEiSzNuzW4xmYxRUjEc5qRpymIx9+QYGCtpmhqpBDFxH4ze26550jCok9I05ejoqFePtE3DrVu3eOqppxwJ5vtW8IMPVfZt22K1QVhYzhekWUocqV6VtangCgRCWAY4AKttW+qq8vk6kqYqUJEizTM63ZENBqgoJh9nFGUNUURVt1x/+wqHR3PevXqLo/mSwWBMkudo2bEqj4hThdGaLFFEwjJfzqiWc7ZGQ38fKGi7hropqcrSA/yGtmvo6oamqrDWOCJIOPs8l8Ni1gCrXAN2YX+Ch3yocA9ZQVYbkiTi4qVLnD9/HiElP/npT3j3yhU+9annqdsG3Xbs7u5SrFYcHBy642sMu1vbRDJimA8d+IambeveTiXJM9pWs5gVbG2fQ8gWrWusEbRNy3A4AGs4PNjDYhjkKVfefQ1tOkajnDRzfdBYZ1djvc1QJEFJ6zOHhLtelXuyqChlPJ2ws7PDdDplMBxzOJvx4gsv0dgWKwTWNjz57FN84XOfZ3d7G91pyrokihPSUcZovMX2zg6DbIQxlixNKcsSYzRJHIN1Nk1lWVKVBavV0hG7xwu2tnao67q/V3adBtz5aLXB+pf1TndOgeazkT73+c9z4+ZNpJLMjw/5J//uP+Ef/OZv8ju//VuYzkDkVCL/f/b+PNiWJL/vwz6ZWdvZ7/bu2/r13rMvwAxHAAgQi0iCICFAoCBuEmVRdDgccoRl/S2H7HBIobD9txyOsCxRClGUFLZpUVwBAjSxDGYGswODmZ5e33v99ruc/dSamf4jM+uce999W0/3dDfQGX373lenTlVWVlZm1vf7+32/WGfQrJTECieNZap6HcFufMyJv/dBfitsC9kVgeg+sQQy67fLsD4Sct2HBGCNI3ix1pmLB+Cek54b90XQCHAC4+6+hfnKeTzEIASSYAht2+sRYn0cYfFSXS6K3Xjg//QLwnrBJlrfiOB9UFUV4+NjqqpiPp+zWhYuSj9eE4iulhbh51/pszGkclclQ5088ROAeDzx6Mig+xev1jpDbYH1+1rvFeaIpADfuEN70lODlIBwWYPGWIxcB1tIJdEhI1LAcrUiimOqqsTi1hC1J9qTLGMxmzEYjRBaU9cVB/fu8vTTV1BR7LyUej3qqmC5WJClMYcHRxweHmHqJQcHR1y4cIHlcsl8Puepp67QNA1f/L0vcnh4gDGa8+fPu6CGLOPpK0/z6iuv8+KLL3L79i2W+RKpIqI4pq4Kjo6PObe/x3Q2o64b+oMhN956C60Vi/kSY50E6Xf+4NvMpmP6vXNo06C188Yq8pKmMaRpRr2sHdnd6VLXFaYxGO18ZoyBOLZ+LKUN5LBWh47ZfmatG/ufffZZvvKVr/DRj36UwWBAWZZttkm4l0ECVfsMPudnE3t5z7INSln7cDgSwxjdPpcua9eRZRInkyaERRiLsJLGuCy/2liOj+9xbu8y//ov/SX+H//lf02n30Na4fyoooSyqoiymKIu+c3f/m0++pFnOb+7hS5LMJY4FlgVMl2Ml70Msnai9dhaZ2Q5QsQY91QFqbBN8iPMOYEwCdvC8x1IoQ/Lh+XtlBMv3+9H/OuHBAq8a6TIWed6xHFEIEHOAhU2CRIBVllMDDqxZL2ardGSra0Fu/0Z5/tT9rszdpIFO/GSgcpJcDI5EjceB/DzQbjBJlTIxt/Wh+OeBRiugz/cv5QwaCQSg8oM+SBhaRNQsBIdiqbj8kAbENoRJA9too2+urm+OpNPegf69fvxsXhYadeD/nf4tw2kSGRdpohypusuOOQRbN1jtOP7dQh58vKQq/ihkiKP0Zob6/fTB12/PviMEbmRLRJIEWG90bpxxIj0PkMtebJZm01noT/O5f6ebE9t++N9/e9sOc1pO8ICb3j+qG8+gkRod9u0Og/kyBl30vrnwe+7ltgKb9QhMOBkzuR9gYF+6zpjRCOVQUROSluYoJBzitzYIGUeedlnnPeDUsTmH+/GRTzmca0Qa3J48+cxyweaGJlMJgwGfR8h6aSzggFyiOheLBbtS3IrjbSxb8gQuXPnzgZoJNqX67XEVnMCWAogc1XVpKlsI/jTNAUgTV0UZOxf8ANwHKeZk3QQss0eEWItrxAi7Y3RpGlCr9cjTVOklC0hU1cVVVm2Budl6czflVJUddn6qzhSoGmNUIUQ9Pt9wIEYQjpJpiDDkRcFiZfcijwpY4EkS1ksFj5qXhMREyUxKlLUdUPdVAikkxlSopUhy/OFM+cGrI/WFL6zSqlAKN66cZvXX7vKdLFCG5jOlxicX4LBgZ7G4Hwhqgq7WhGnsQPUpDMT1rqm1u66W+BaOZ36ILlhbEMUJzTatpr1IfJXKUWWKKQIQdkWKSEWEqMEBjCmQeuKSIIlJuv0OB5PuZ2lPP3UeZK0g8Ddt243ZTKZIKKEPNf0+z3SzLWXNg1Suv4hhEDX61zy+XxKlnURwPh4zGAwZDDooaRymSzCsly4SGupFFnH+XA4mSJLYxuSxGUmhf7W7XbbrJUocmbJg8GgJUWCBNvu7i55npOmKbt7O9y5e4dur9vKvIX+bY0hS1NskjgyZzhoiYGyLNvnbDAYtOes67qNho2iCB3HRCpCCFBWkKaRB7Qj4jhjsap59Q+/x7XrN5kvVjTWMJlNqKqaPK8RMkHFiQMojWG0NWA6nXnRo4YkEQjTMOx2wAoWxZLFcobxUkplWbqXUGOZTieUq5y6rlpgGuE8gnRTt2QrtDEMAG2Ee3jeXSaVI4J2d3dI44Td3R22d3dpmoZvfvObXH/rOt1ej8VyCULQSVKkVHR7fe7cvouUiqpYMj4e8/TTz7KqV86LJ47IOh1e+shL3Lt3j9ffeINud4CxknsHx0QqQ6DANvzpn/jTfPObX2c+nzCbTQDN+LgiS2M6nYyqnFMsG8qqdDJiSUoUJSRZQhInKOWkchyQ6J4FrQ0Wi1SSVb5iVayo6xuUdUPZlKRZgjGW3rDDYNgnihXdXoenLj9FmqV0+n06/S5IibUSawRKuH5SVRVN46TdYhWBtaRpRrJ/Ht1UdDoZX/q9L7G3t8ed27daI+PGe35IpbBGo+KIWDiJN+qaTqfLfD7nO9/5js/Ws1gz4qnLT9HJumyNtqnLmkTFrV+IIz+VM2XHXfcJeSY8OOBBS601kTGekFVtZLf0clzOA8QtulrQ03JfxLdEYEP0nt/H/WP9PQeY+L8DyRIIGN+Xw4chAj2OYzqdjjuXWPsWBOIyzDPWmPZ7jpBwBElL9nhiJmSuCBm1z0Cv1yNfzrl3754jUcsSKwQXL10kUhGT+aKd56xY+56EzEMpBcpuko26rUMgVwXBEN6wuSoK2R7Q8lW+gf3LoXSa5yFKX+LOL6RwfaeN7nffWwPTbmMwCc/LktVihko7FFWFUrGX4HLrjjT186PVRP64s/mU4+MjLl64RNGUTnPWGMqyIImdb8Qbb1xFiRrwPhK1YTAYMZ3OePXV15mMJ5zb2+P69bf4zne+w4//+I8zny949pmnuX71LfLVik984uN8+atfYTTaYpUXRFKwWKy4ffsun/z4x5nN5lgDVVGSZD2sbWhqw2uvvsKt2zeIYklerNz83AjyvGS2WNHrreh1OujGZfhZ6+ZTKZTvSsL3+Qho2gwm16fMiYwdgDR188je3h7nz5/n5s2bPP/8876vnZRTk1K22bzGe4eEYJZNU/LQjwORUtdVe36j1/3YWI0MRIKwxFFML+0RpzHLvMBaSV0V/OJf+nn+xb/8l1x76w797V2sETTWkHU71E1JJBXX3rrJ9199jXM7f4q8qkiUYnJ0hBWC4XBE47P2wnVHkSTIhYV6u2tURJH05GK9Hgs2sriste08Hq4/PBMfSml9WN6x8kFCe97Bup54v37S474T9TgFmtjT28/4O5irE1tUtyHqakbDBRd2J1zePuZ8d8p+PGMvntNVFamoSYSTzFIBKA2EiHgwMXK62I2fzcpukmvr2dmTL9bSEyVKOYmeZTchFxEgOGwsdR3RIJCVgCpcIGEKP9UoG+3xiOjhM9vuCcvb7hvvZL94m2VtOuv6ioksJraQOHJEKNN+fuJ8PwCQdbrKHzxg72yS4e2UH+zrIfjh8fY7fcJNKSwhXGS78LjGOkvEtL9jT45E0rTZIiL8iPWZHgOm/mNY3GDzeNbc712xG7/fu1qexeafQZrDwzP+fGTA41BwIRDOfW+TDtkkPk4Wlyz/OL35DKIkEDECTzD650a5jBGhLFaH4Dxfk7Ob5cGnFCf++OCUMwIW3vFLeJK2PLGIePLygSZGur0uw+HQadlHTkP94OCgBWJD1CHQZnEopZxMjQeBDw8PAdjb2zuhmd40LtMigLzCg24hUtYZuTtJLKDNOKnrmtzr8htj2Nrapq4bOmnWAoGByJnNZs4w3UtvjUaj1ovBRQTaVo4o6I+naeoi2pViMBhQFAUHBwetxIRH7sBYsiSlKDXGWrZGI5qmoSyK1sxdIumkDkjPOhlFXrRR2UXhQO4syxiPxy3QVtd1G7UZxzFal3SzFIuL/FVKEnmz4G7WJYpdZG3a6aCkYDKeIAEpI15/7Rrff/U1GiuoaouIEqpmgbGCxki01dS1QVuL8LITYCiqvI2KjpOYvMrBg2dKusybNE0RyoFwTj7N0umCA3Sc/I3AaZNjDRXOcFhqJ8sSRQahIhDQ6XYoqwahLSqKaYzLjNGV4dadA/bObSNVSqeTsVjMsHlO1smoygZMQ10WTBdThsMRxmikENRV6YBVIRn0utDptmCltZo0jZhMjrG2Jo4jjo+PHAgvPChs4fDgiE6nS6Ri+qN+2++qqqDf7zKZTICs7ZO9Xh9jGqbTMVpryrKi3+8jpGC2mNPUTqbrxs0bbG9vsVwuHcET2toTjAGwAWhqTVXV7Gzvcv36dfrbfYqiJE3c9KakIolTiiKnLCpMbFFCEUcxYEk7icvUKEqscb4yX/3G9/jWt7+PVSlCRERpSmOHZN2I5fIOWafPYrH0Ej0p3U4KpsdsMuH46A4CTdOUDPoD5rMFUgjKpkRIKMvCER9SsFouiCPp5FV0Q9MYYj+OgHve5Ya2u7XWRwM7YjGKBfP5HCEE29vbXLp0iXPnzhFFksVs3sqLXbt2jTeuXaXb7dE0htu37jIc5mxtbZHECf1uj6zT5d7de8RJypvX3yLpdOl1u/RHI8oy5zM/8qN89GMf5datW0RJyh/84ctsb5+j8VIsWNjaGrKYT3j5e3/E1nYfhcbYBkxJvlpR5jPn/RJHPHflKQdsxpHPrmhaSRohBMJHZTeNRiiJlIqyLFmtVhhnMkGadRhtDVuptqqqmC1mvPb6q3z/e9+l1+lirCHOUnb39rh46RKD0TaD/oit4RaRUmRZhyyNGXT3WnA+ZClVheLSxUsoIdne3mExn5IXuY/I8DEefmFU+syoJE2R1gHmwSOqKFz2wu7uLv/Nf/PfslquEFZwaf8iy+WS2qz9LlxGg/A+IT5DyDhPigBKhjkleDbFRK0fRcggtNYirYtcsCLIT4kWGA1EgBIngVCEQPjsOryHi5SBEAn7gBVqA+RwHgwtcWHXpHGQgJTS1U1FkctqiWMElqpqAINUIA1YbVs7c3e4+8kZN365sSPIVf7ET/wEw+GwzbQ8ODjizTfebMekOI6RSjkClLWxtCuORAqSgO58pl1gSgToNTmzbr+gobwmVk56jwjvaeX6w6YPjJVuvhLSXZMwONm09v5KYk/+j8djGq2JhSNulFJYfw3aNIy2RqzyJavlilGvRxRFFEXO3bu3uXDhAlEkMbphtXSZbsv5kkgJJuMpWSKdXJewHN054OrVa0gZcePmTdI0Y7FYMBoM+eY3vs5LL75AvzcAY/nUJz/O7/7O7/CJz3yaV15/lfl8SSfLiJWirmA+X3Lj1i0ipZjP5ggUQxnTTTNuHt/h61//fYyuiVNFWeY0WiNlQp7n3Lx5k4+89AJbW9uMx0dUZY4ywl27UEi5zthwsqOSoPa2eV9dn499/3ba82VZcu7cOV5++eVW9lRr0/bVzWcsEAIhKCXIbW1KGYZ1jyP8Iv+MyZY4UEKhhCDyEppVrQlxgHmeoxtNLBVlnbO1tce/9pd+gf/8//5fousaGaU0dYNQiqppEBFMFyv+2W/8Sz7zqU8x6g9YzecM+gOC/FoUuTVTIG7quqauG99OlkAohUAVN3bKVuLVBeSE9g2Sdz5OzZqNdl6Tgh+WD8sTFQ+c2h/s3fF9Ud4RIOgxG+FM4uIxDntfHR/1/VOft0C3tJgETGJRnYbRaMHO1oz94YxL/TEX+lO24yVDldOXJYlovLm6l9EJhMgG6Pk4VdqsvwhbNsCtzd8WB8KGbEvrHNbRUnAunrtgJm3RlWDWpJRCYVeS4B3notDWBEk4uLi/Ej8YafK45Yf5gDziXI91TeHZFoAEG1lsarAdA6kH8CRtg57oBxvt9/4u72Il35MB8eT1PLwKp659g0EM9zIEnwqfRe2yRQxSeHP1NkvESWlFwn3Wjg8f9EnhHS1rsP399nDYB/z9XnTi9RnXxMQmqbDZeg+dax7RzOsjr88ED6OtxIm/LEE2K9T1/tqfqE/7W2z8hGHWZVZJaZHKIJXBKNGOwdiT1/Nkd+W96mtvs++8G3Pv6VM8ySPolxCb8+GT1OsDTYxkaXYiGs8Yw2AwaCU+VqtVuz0AJ9vb2+1L92q1crIw3S6LxaI1iy6Kgn6/3/qSBCAsSDq47A4HvG1tbXHj5k26PkoXHEniXvgbTyrEbT3WkYOuLsGPYT6fr6N7fam9lFVd18zn89ZMvixLIm/8vGma7YiByMnMSBfxqk3cHs8YQ7fbRUrJdDr12uQLsixjNp210cT9ft9ldOAiQNM0bTNsgkzTfD5vCakoDstlpwkvhGUyOabb7dLt9MhzB4onsYs8RUXcuXPIt/7guyzzmqKoqbRlMZ9QN8bLr0DVaBqtMRZM7XxhYu8tUnnAQRROEkgK5aP3y1aeAym8zr4zR82LovWbieMYtMHUzoQ9TTse/E8ccNHECOHkVJbFkk4nJY0dSBN3OgghGW3vspyPuXc4off0ZeazFVVVoSN3787tnkOInO3tLZ/JI+h2+1hrWSwWHtjvcHhw6EHizIO4in6/z/b2NovFguFwgJROIm5nd5e8yJlOnRTXzZtv0u12Wa3eZDgcMBj0mU4npGnKcDikKAuSOGFvb6/NONre3mYymZCmCVVVUtcN586da/tJFCmOjg7JOilZlrWgVMgKCcRhIPriOObw8JCdnR0K38Za6/b5k94TpyimdDodqrJEIVCxpCprktTdjzt3x2ztPMX4eEkn20alA2bLgqKE2VzT7yuytMd4fEikIvrdHo1uaHRDFEOaJTR1IH4MnV7GfLXgeDqmQTuQ3kt4BeK0rEoiIYljl2kmvDRWyKQRUjnTYSBJ0hP+Q8vFiiiO+OQnP8ne3h6z2YzZbObAPW0YDHpcu/YW3/3ey0gR0dTa68t3mc+XLBYrtkYjIhnxsY9+ktFwm+vXr6HimFdeeYWs22Vne5v+oEdR1dy8fZftvXNsnzvGiO+zKitUlBCpmOVizuHVO3zly7/NcDQgX05JM2e8bk3DaDRkf3ePbtf5AVVljUTRVA1l467PZbKt9e3XUdkWFVmaxoHTkUrQxrBcrhBStBJ/UkoSTyzFmQf8G0O+WHJ1Puf1117DaCfjE0URnU7H+yD1GA1HdLzsWq83YDjsk6Yd+t0Og16fA6WI46TNttHWtKQNuMyR2GclKbxny9ERh8dHyCjiqUuXiJVkNV/w9/7ef8+f+1f/LHnuMq8w2o+P2r3YS4mlwRjrsylOAu6no+GlFO6c/rumrB15BK2BtCMUaZ8HIYQ79gZJEjL0XPEZDX4VtplBsSZY/H5CYjbqFeaq0FcDoR6yNAC6nQ668SbQbJINtMcxdh2DJHy2h7CWRjd0Oh3KsnRgdmPbeejw8JBXXnmF8cGxc/2Jk1ZysiwLJ8W40ZYhS8URHBvkhvAIME6JTNjNjI5Q1m0RrvXMsrHWC+SRu38WiUT5+6NCZomU7cLK+iCGOEsRUYRUksgbnq9WK7rdrssITFPy1QoNKCspyxUHBwdUZUESZeimIooj6rohjlKMsYwnC/b3tqHRLJYzvvTlL/ORj3yUG2/dJC8KIimJooQ4Udy5c4uvf+1r/IW/8BdYLpbs7+3Q63V48803+eQnP8kXv/glhJAugzXJmM2W3Lp1h/39fcD5ZPR6DcYarl19g6pYESUuW2R72Hfjei9FScHt23e4e++QsijopC6TzJjay74JEG4sDf1xTWY4+c+wRpDSzSWBzArro/Pnz/Otb32L27dv88wzz1CWBXEctfcweJlt+peEvhGyeDf7+qaXx+ZaMFKxz/rQRNE68w8EZVXS6AaEQklHLc4nY37yp36Cf/rPfpPrtw9QQtLNMvK6JIpTEA1KwfUbN/nWd/6IP/ezf4a0qdtxUxuN9n0wXGvINnbZmx2MceRQCJAJ40HIqgpBMuEnZB6H7wQ/r0D2fVg+LG+7vI/JkScmE97Jcsa53s7L/pnfOes6zjrfCcDaRf5bCWQG29Mkg4K9vQkv7N3jqf7YZYlEc7qyRHnZLIUnQzYyQwLw+fabcyMinRCYQduXbICuhPPtcpIWjfssWpLKBmksizrhbtMjJ8baCKs94KQ9nBaQDN8/2/bYCI9+VwHc08f+Ac/1Q4G5NsEgn1lkYotNLWSeGFEWIU+xTg+trTi1/d1+EJ+gpd6HA9eTV+kUpC0e/NnZJztJcLVeInLj71O+Iko4CaAgoRWJQI5sQr/vRXnviIdH9+z3FymyWdzT/G4+DI/qh/690Z5Nipwklp6knqeJi5MEVTjHO3lnTmDvLdAv2oAki38t9fNSK1GnLCKyyMbJOrusmJPX+si11gMjKX6Y5QcY49+NLmhP/fmE5EgbJCAsZ8tGnl0+0MSIMabVON98YQ4+HPP5nCRxpthlWZKmKdPplKZpWgmtuq5bw9iiKFo5rDiOWa1WwBpkKsuKyWTKaDQijuMWBO12u+zv7zObzVgsFiRpTCQisk7GhfNbzOdzRw6UNXW99i3RumE+dzrlaRqjlPBR2Ys2I0RKJ9M1Go1as9p+r+cjEd1Pv9+n0+lQFAV1U+MxOfI85/yFfebzObPZ2gjcWkun02G5XDAajZxJvFQ4aRJvmuxLiOLcNAft93uAA8vjSCFpGB9PqbVGKqfvn2UZcRwzmUyxAbyzijjpY4zhO3/0Ko2VGBlT09BYiYhShNFUtaHWlkY7g/aQJaeimFo3bcaJD/cF6/bL89IDgWULlimlQAqXOaI1aeKAOiXBaichI3AR0NZaIpW0xEkcJ853pWpY2RqbpiSRI6TQKVLC9vYud27f42MvvUQTSVCCNInoYplO58RxzHy+IEmc2epqFeoYoZuS5SKn2+0RRxECR/YlaQoSal0yX84oqpwLFy+SZCnHxxN2dnYpcicXt3/uAltbW86rQWiKcknXy8sti5wkSbhzcI+trS2X0WQ0eVUiY2fUnmUZaafDcu762I0bN0jTmJ2dbcqqbOVyQn+Ko7iVyHLkn24BnkCshWfJyZy5iN5ut9sSbAKB9BI3wjqA0eAi+n/t1/453/7WK4y2LpOSYI1BW8NwNCSSBis6RFJx+9YNnnn6ivfCEFgDcayQ0i3tylXNYrnicHxEnKZgrfcL0RuSLdA0NUolgIt2FlYgRYQ1bnov8qKNAC7LymeGuef3059+iWeeucKLL77oSKudXeq65vDwgOvXrtHtZnz2Mz/K9tY2X/7y7zOdzsk6HaLIkSy6qrl7+x6RjLl88Qrn9y+SFwWVrjG1YZGvuHc85u7xMYui5Fd+5V/HIPjaN76JRRAnCXVjmY2PmE/HVMWS4aCD1TmdLGKxnLKzs80zTz9Flmbo2kn6VUWNlIpau8kiIsJisca2QD4EYtIg8ECxgbppsLZuU0UDsI2xGKOpG8PK4mTCrCaOImLhlwhSeGAcl7VgGlbzKeOjA94yzuPD+udRKomUEUkS8dwzz6MUZFmKipTPhnCLFaTyJIZBe9m9tJNw8+ZNfukv/SJ/8S/+Av/Pv/N3WM4X3Dk6opd1+Lmf+zln+I1099mAbgyx98pBOEC3rhuaynlEaU9aSCkx2gGgURShrctyylJnoK5x/V9ZgzaGWjvpLyGjFiBdEwPyBAmFjBDGEFxIg+QONpgy++94n6cAODsiQXk5LeeNFDIog2dWWeYkSUqv5wIHHCHvvI1s4+YRE65vUzoLUJFaL/KEQHkyQmtNkiRUTcOtmze5ceMG3W6Xz3zmM+xs75LnBX/wR9/l+PjYkdVKYbxMlptPvExbSzx5EEdahHDtbHy/kGegIEKs5ZVCVltrBF67NpXROoNB+2wPFUVoa7CEqFb8PY+cxJ+UaKNBSJbLFXnIjmsaEh8YEdo3ZKnunztPsSpoao0WTg5utVjy5tU3+ehHPuHIVZGSZsKPoxFVUdDvdoki+Af/8z/ipZdepKo1t27fcf4elZvHVssVnU6H7333j/jsZz7F9tYOwmp+6id/gv/X//Q/8fFPfYaLFy9y985dep0OZVUjlSSOM5dZeHjAYDAiyzq8/tobfOUrv0uapZjS0MliJ/fkV5BNY8m6KUIoDu4eEsWSc7sjksSR3XESI4VyEpCsCTv3tzlBmkdR7KXyGqIodc+9MWxtbfGpT32K27dve4KAlmDflOGy1hGToU8GQsBlqq79RILPkxRR638SRW4et9ZlvTmfLBckAQasQFjpCEwpwBiMLekmfX7uZ/4M//Xf/R+RWUpT10TC5VCF+aM2Jf/oH/9TvvBjX+Dc1hadOObg4M5Gv177Tg0GA2azGbr1ZTEtaRKIjqZxbRm2h3VoeL5De3Y6nXbfOPpAL90/LO912cApfhhw55OUJ8YF3qnKi8c4/7vdUGvudm2ynoDNNDYz7AwX7Izm7A9nXO6PudQbs5ssGKiCjqxIvI/IJsgpTx37SXXzN6p0AqrycBitYrwQG/v4dRwWZQ0xmo6sEMKym8y50k/RKO5EJcdqwEx1aVYxopSISjgvqJA9wonq/nD66jt5kne4fz6oBPLISouNQMcWG+SzYgsykGQBobMuUPH0OU49AEK0MSqc7AEPr+oTPcdPCni9R+UHP/UZF/mkRKW/d6L9+yShEjLJW9BWrn1FpLDEUq8ltMI+WJc1Itdm7Q8+97tRNmPzH7P8wHVZj11vB7Z/r8smRcCJ3+/Gue7vD5vuHhCyI0I+x4Pa057xr/Ve6/uwOYtsHmk9/jxILuuR5dRY4wgO0CdAeD972kC+nGoBsREYIA1SaReALSVGheN7gv/UWuuB1Xq8ofXdKfaB/3hvy4nOdWrbQ4o9kV7y5NfzgX670kYTxx0ncVPXrW+CUo5McC/NojVX7/f7HB8ft0DKpka1EO6FNLx8ttIyRhNFCq1dVGK3223Jl2BwLaUkz3OWqyWdTob20izT6ZR8lVPkBVXlQNXEky7G67oH0CWQN1prH11ftGROkjjgNpA/ddO04EC/30frdTZFXTXMVws6nQ6DwaCV4tr0QgAHJiWJO16v12uzWnJvTL1pBhrAb/dd2xq+B3CrrhsXhWIsURwx7PURSKKkQ70sAUGSZDRG0BjL9773fW7dm5DXNctVQVnVNMZSG2gsGCFJOyk2L9DaYtCOoZWCSMQ+wlg4w1xrkcIBXcFgPnisQOOGVeF0BV0/qSiKFcqDba3fS1FgjUUpJ88VKUUUx6SrFJVEzng9SZxsWJpidUORr8h7HaTQvPzKG5zf32ZvdxtjGpJYgXWPVxJFKGtclGqjUVGC1Zpeb4umrpAC4iQlTVKWiwXL1Yr+1oDFfM5wextd1SAkMorpDwZobbhw4SLj8YQLF/YxBrS2oAxCWra3txgMBrz22mtYa9nf32+114P0m1IuK6WqKqeLCMxmM86fP0+eLzFm7VMAtCSc0bYlPIIcHTiQZzabtRlNvZ4zPS+KopW0C5+laReMpWkqLJY4Tluw8cf+lR/l6Wdf4I2rd7h7OKWuciqjiUWCjCNiKRj0esy7PfJ8xWRyzJUrV4hiB55NZ3MGgy0m0zl3FnewwtLoGm1qhHRTdugnrYl3yJLQhiZI7/j+3sm6SCXpdnsMhn22t3foZBnPv/A8e7t73L13lz/67ssURc7uzjFHR0dOckZKvva1b3B0dMz58+f57Gc/y3S+4I033qCuKifhohRpmqFUxM2bN5BScu7CBcqqYLUqUGlKWVWoSFFUDX////s/E0WKxhq2d3dYLQum0zl1WSGVIYoF1jRo48jW559/jr29XeqyZDad+/nBZVhobVFCgHQSLSFXoQU5/f8EPsLfujEjko78cv4NPjIbiVYCa5z5eF1WKAsySVE+ywDc51iNEKB8VFskFFEnaw3CEWB0iPiOmM2nlMWKxjT0BwMm0ylVXa+j1JsG7SV2wAG1ceSe38FwyJ/5Mz8BUvI//r3/niuXL/PC8y/QTTOOj47pDQZgLcuVRFtLrdeZM9pabwrus0OMCQ0CcILgMNZQe/By/QZ5UjIL64knbzRujXELy4191sbfjuQQuCwW3TS4l1iwWKS1LSnl6qJQau0/EMDWOI6dd0sUkSQp3U7Hk5QuM7HTyZjNJkjpslOsNphAtoQ6+8yRAK64ecBgjJN3LMuSXrfLdDJhOBphreXevXu88sprzGdzVmXVelwZ643mresnSknXP4Twfj4NxiuVSymRypP1FrQ3qQ91CEtn6XQhXHaPs3L15JFrW+vb3Qrn/bIZaS/8sZQQCNxaQKOR1vo3TUFZVRRl6eSeFCCEby/3HIQ52hpLrz+gKmuwmrrWJJFkOp5QFjmVBqk6PjO167w5rMCKiK9//WsMR1tcuHCB3/iN32yfuSROqKqcfq/H9Rv3+Ot/7a/wiY99hJs3b2KEYTjs88Lzz3H37m0+/rGPcXRwiFIRde08x6yF+XzBaiun3x+Q5ysuXNgnjhRCOG8Pi8KZ6TpCI0tTEIKDe4d0s4TBsMfFCxdZ5XPKSriMO6EA4z3MfGaUgMhn44XMpMqbkCsV+SxCN7YuFgsuXbrEzZs3nVTYaEgwZw8ZTlVVtYENIWMvzDVFUbQvVE2j2z5fazeWx3G0kZmrSBKF8FklVV37TC2XPYhusMKSpIqyrBHW8OM/9gX+5e98kWu3biOiDCNAN9DtZQijSGTKrTsHfOl3f4+f/7M/S7Va+aFVehDJemlG3a7phBDecF23gTYhiyaQKKFvbq5Lg7RpWGsOBk6263g84cPyYXlb5Qyk+718J98sp8GHd7U8LiPwQzpve+3CumWashCB7DaIQYMaVOxvjXl+64CnB8fsJXN2owU9VRIJTbxBiKxlszgTeA3kyONe4mngUNz36Rn/EiCtQQpB5LcrYTHxioYxcWToRhVKGGohyCOLXUUgFTRgGwnaw18GR2Zv1OM03PGO3q4f8r3/QUtLighAglHeVyS2iNj4d8PgLbJZnTP0/E80rmvtjWXsu1fe68HnjPLOVmkDBn7kgR/BBIqNX6dJEQGItReCFGtTdbXhLxIJjQqZZV5qT3p/oAfW811mDx40Xr2bZ9wkRx623/sKMH7Hy4Ov7WG0y8PG4M2WFWd0nPU4fvKzdqwBQlS0I3TDe+nJ8z7wzmx+8JDbJ/y79YksF9vSHo4csWuyZP1FRzZLaVHKopTBKrcN6YJ1xeaFPqiENdiT9vuHsiyP+Pys/d+Ppb1/j7rYM74kTv08QflAEyNq4wXTyVE5eaGiKOj1evT7/Q0zc8N0OsFa00aAB8PlAPR2ux2fGdIACUkSk+eNf3FdyxsE0qX12fCZK1mWuihS1pHzRjvpoiC9YbQm6XZb8GDQ74MQLJfLNjIwyzInOVRVVFXVGnAGXe04ipx0R56fiJ5MkgSVRe3ipSgKFksHTA2Hw1bvXSlF0zRUlSNUHEDuJJVC1C3QghPhBd4YzWw2ZzQaEeRhjNVobRkMRyAkjbFoKzg4PMbemzCeTKkbB34bLWi05ni64sJTz6IRLFYrqqqmbjTLvCDPK+qmZrlckaRgrMDWldcZNy154UxYtQPzwiBggwTMGiBswUmJS3HTlqpx7x2StXQQ0LZNVEft/S1LRwzESUSRplRZRtXJSJMYieXo6JBOGnHrzh2yRLG7PWI0HDAcdOl7vflet0faydBGYK0ijjqIyEWlC1mCtRRlQ17krFY527vbWAwu9kuQ9fpM5wtmkzlaG/LcSb0VuQPser2ek+WKXL+bzWYURcHW1lYrS1KWJQA7OztEUcTrr7/O7u4uo9GIxWzh5VJMmzE1Ho8ZDPstgRgkPpbzJVVZ0u/36XW7GLuWiOv1eiwWi1baJES+BqmQ4DVQVxVJ7KKSsZa6rB3wqSrOX9jm0uWLfPzjLzLPK66+dZPX3nyTm7dvU6xq0u4IJQVxFNFUNef3L7gspkHXkaJStc97UZYkaeakWlQEwpk9WwN13WBlTJZ1EELR1DUgEFL4LCUXtT4cbbO9u83W1jaDwcBH+WqWq5zl6gY3b96g3+9z/sJFhJCMdnaQFl55+WW+/c0/YDgcMp87ovILX/gCLz7/Ar/7279NrRvyvEApJ9cifViW8VHQvV6PwWDEfL6kqms6UYSMXFR2J445Pj5mPl2gtUEJQaNLrK1QkWT//AV2d3aw1jCfL8D46D3ps3waF9ktvBdQkJByOL1/huDEc6G1I3tcdIULfRAeNBf4TAMMRkOjG6patORjrCKQ/nsbL+0OyNcOyMbVxVrrM0c0aZIx6HUxusZgmc9m9Ho9lgcH3sjdcnhwSNrptASDEMLLF8Vcu3qd3/md3+cb3/g6586dQ2vNtWvXOTw45CMf+QhWuNCOoqopa2cCD6CEoDaWxmjCJGv8KkeAy0Dz7SalM5O3Td1mEAghHJEgJMJ4AsVHvxO8AVrmaU2wuCIQKIcEWIOxLpJF+WgTi8D477ZjHJpgRB7uWZvVhSM8MIZYKecfYlx2TCfLWK2WzovF+xlUddNmcJz4Yd03Yi8JZYwhSRJWywW/+Eu/RBRFXL161V+fJE1Sposly/m8leUKUaxGN2Clfx6dAbzA9Rmwzjzbt4i1eDB+fX1h9eykOlzkv/NW8e0gvcTWRr8QUrSkjLYuM0ehENKT5FKipPIeIpI4TlnmBU7xTLbEU9btkSQpy+UKYyy6MTRNTTfrkudTd35Ppt07OOB4PGFnb5+qKkmzmMYYEiFJooT5IufZ51+kcy/ht37nd8jzgm6n68YGAWmquHXrBl/4/Of5G3/9r7KYz7h35xYCTV3nfOpTn+Sf/fpvcG7nPBcvXOTunXukaUZZVFRliVSCp566xDJfkecFH//Yx/n0pz/J3YO7GFtTFGs/s0CEHRwccmfnLj/66U8hpeLevUM6nYhERS4owffzdXZH8Igx67YWPqML0Wabhn5elmUrQ7pcLtnaGvnnyY1LYU0WHpPIB4S0fmHGky2xy8xoPOGibePWB5Hy8mtgTO2zTBRSSJoKak/KuT4t2/NIKWiakosXzvELf+HP8nf+2//OzdNCufHAEycysuiy4Z/+2j/nx77weYZZjDYghNnwRomIfHZlyFwJa741mSRa0jBk3oQ+1vrheII+rLeCt1fmSaIPy4flSYtfKiPOCMR830A/P0RS5F275lNt+zj7r83VDaqrkb2GYX/JznDO7mDGpd6US90J+9mMvizpeS8R6cHNNZzzMEDLPuSzR1/OkxQBqFAnoRFYerLkXCxIZUNGTSZqhmnOca/PbNFlserQlBG6jDClRGgQjUBoj4gZcR/w4wIueGibPzZW9H4Fic7Af+zG9tZXRIEN2SKp9b4i3luEDeCxbS97MiL3vnIWsvdwtO+x2vldZbZ+8PL2qvMYV/4kpMijvt7+I/jtrY3TWxmtIKHl/UQiYZ18VjBcDzJaG1lmJ3/eFrb4tsv7rBv8CSgPI8hPkkYnh9eHjQGbclqe3HjA0c8iR06ea5MKf+d7x/1XL9q6hc9PEySbe4bnTPiMPA8uhhf2R088G58/zrgpNv846wviEZ9/kMpjraHO6Beb5NrpYz1G+UATI0EbPcgsAK1Ws7WW4+NjssyZiwdDdgdUzlvfg2Ao3Ov12NvbYzqdOlDVv4CuddoFWZb5jBQHXIaX1jiOmEwm7J3bo6oqyrJsgfXGNtRVhRSSNEmQ3hskvPQGw/YQMb/5shwkIgI4VZZlC/aECEKgjcjP85xIxa0RMtCCFEG7OwDfIRumaRzxUzcN4MCLqq5b8iVEb1osWaeDxQE+cRz5TqcQSjFflUymM8bTGfNlznJVolRM2RiUSqjrKSBRcYpUHSrdYIAk65N0XIT+loFGGw9IQlWVLJc5lZd8mYwnPuMnbjNqQhsCLVgDnJD4EAKsdpkDQY5G4qKNA7mGcVr7m+BMK8WFIUtSmrKiXK3Is4QsTZ1Zr9HMhCWKnFb9nduH9HodJzEmXf/J0ow0y5Cxa9Ner8fWaIusk5FIydb2FhJn9LtzboQVDVVVkGVDEIKqMWgNSdZhMp60/iRbWyOiSJEkEU1TkuelB6nWIEswsg4EV13XNI3zFGmahuVyibYGFUeMDw+x1rI9GpLnKxpd0+v1UEqxmM/Jsg5JknB0dNT62oT2D9HpwRjXSceVbT8OknNlWfnsK5eZpBtPTsaSTpIynk4o65qyaShrw4vP7fO5z3+cr371G0iRsrN9nj/6zh8xmR4zm03pmC7aNIzHE4yxXLp0mePjiZO6ERKJM97F+kwQAwJJlmQUlY96L5wnTZpkzmxdKna2d7lw8SJZJ2vbcrXKqevae6mUHBwcURQ5dd0wmUwBpyN/bneX4WBAEkcM+l3+5r/773Dt6jV+/6tf5aWXXuT8xQvEkeTu3QN3DVnqjRRw7RE7SZ+q0ijp+5qS1E2B1g2z1ZTVckWWRMwXC+qmppclJGmPy5cv0+93yVcr8rx0knPSRc03WiOMcf0/kjRag9YYozHYNlPGuPAJR1C4hwmCv0WQfbJOvs6j1gSvCqQTUNDWUNaVWzikgkjFhJx8ax1wjZUOaMVrURMCNSwqVuSl8+w5Gh/y9DPPcfv2HWLf7+bLVfucl0VBrzeg0ZpIKpSMqGs3tv3oj/4oN29c50tf/D2Oj8fs7p3jmWeeIe10OJ5MOTi4R6MrhoOek1hqXFR3VZU02oJQbQaFxZmtCemuz1pH8ighXVuAk2ISXt4Ji/QknYt6cdd/3yTviZO2XXWQ0VkDqOsFJi2BtTERtmN8YMWbukYiHPHd67UeVL1er/WyOpfukPpsxDDHuIOdPK616/sjWGcdBi8hpOT4+JhPfOITlGXJq6++ytHBoZtPtCHx86aThrIo6bNOmhrjgfUAqisp23G4jaIXAiEVZxUnR+aN6IVYA92+qaQU7TpBhWNYH03nsz2F7+vSS5tZ6zxgtbGUpfMTk5Hrv9rfzyxL/VimUZnL/iiKCuElzaI4QgjDcrXi9u3bPPX0s0ymOYlHMvKyJOolrIqKZ65c5tt/+DWkVDz3/At0O13SOCaOJLopePGF5/ilX/oFppNj3nzjNYyuHKGGZHs44MUXXuTq1es8feVp7t09bOXJEDCbzbl779BlG/QGICzbu9vcuXuTLEtYLmbgszWkUhhj6fcHFEWNlBFZmrLMl6TpAGObdryXUriMHyUB1Uo8uc9Uu15x841GStXOA0mSMJ1O2dvb4/XXX2dra0Snk7V+atZauj54pKpKokhtrFkMnU7SknfdbtcHeVRIqdpMxdVqhRTunLapKSvrJeEkSjm5K639vW5qjNXuGUUg0Pz4v/I5fv3Xf42D8YxlnhOlHbzyJo2GJOty/eYt/sVv/Rb/5i//Iqt8ifQgkzGglCCOk5bwCf1ykyQK8+bmWvN09tj6ueQ++bAPy4flByqnIyrfz+VdqN9979rv5DnEA/5+UD0kTuootohEo7oN6aigs1VwaTDmucEhz/YOGEYFg6igJ0ti4SRxNkmRANuciPo+dbbTIOe7duvtWk4rAPACSyZBCUNHVHRFxSAq2OsuuNMbcqs/4mA1oFillKuUOo+gku6nFs6LRDs5VoyvfbAW23BY/YGv6YfxPGye41EA1ln12VwCbpIiyjpiJPXZIt5wXZw6RliOnok9PQCQOpk58u4Ale9FeWeuYgNEflsHPN3Y9+9x+h6e/l44d0tobHiMRCcyRqwnRTazRU7+rEmWJ/Ed+aAjsX/Sysl542Hl4eTJWZ3V9UPsSYLkQcc8UxpL4JMFzshs2zj7g4s/ZrvTSVLDtj/39/DNITB8vuk3EorDEt1zhHQRWVb49Xuo/6MA/scZLzbIkxPkyMPKB314fpz1qd3ccWPzJqP7hO3wgSZGwoviJgieZVlrmB401heLRQt2h8j1IIMRwKI4jrlx4wZRFNHv91vDyyDfYK1lOBy2L6tFUTCdTp3ZexKBoDWg3TS+tY1GRglSCFargt6g334WgGrhdbMDiBzHcStTZK1ld3cXgPF43NZ1uVi0YHOI1A+gQgDWQr0DAL4ZiRk06zudjo9YhMTLYxFANuFku5CCRjdoo8k6nbbt+v0+4+Mpd+4dczyekhclyIiy1lQNWG2I44xVbTDWeQaUtWG1WGJw2QNxkmCtodG6jaqsm9pnzqSM4gTT9JBScPniJcqyYrnKWSyWzOdzJpMJk8mEqiqctr9am72uteU9+eMlOYJ2OdYBOUpK0ih2D48nQ8JxtNZILHmjqZQijiO0rlviKY1jBBBJF+0sgLrKkZEk66ZIaVnkSxArhHQSHyo6JknuEqkIXddsb4/oZM4sfWs0YDDM2N3dcr4n2rT6+lmWcP58ymg0oioLtre3MHVDVees8jlJljAcDtuI01CEEC3JFciKJElaoi9JEuIkYXtnx11TpNjb20NFa8DLGEOR5wyHIzq+D6xWK0+oOZkTZzDbbY1l+/0+y+WyJeQcOQlS4iNpU4hjqqpGN5bJeMZkckQUKTr9Lhcu7FPWhunRIT/5Ez/O9s55orjLpacucfPOba5dfZPxZMz+/jnm8wV1XXHlyrPMZ0siIYmkpKkcyad17SLnEcSxwhow2pANOnQyyblz+3S7PZSKGA5H9Lr9FgDWpvFET8XTTz9NVVW89dZ1+v0BUirG46NWA/7w8IhBr8f+uT2ef+4ZlqslP/1TP8Xq85/j9Tde5/XXX6WqajqdjCtXLnH1asF8fkwnzej0usRRzGJVkCQRUigipRDSRQpPxlOiWCKVQAHz6Ritay5euEgnTZmMx7z5xlXAsre35+5znGCM9hJObiwIxuAGHVYdLQAXJOecBF3wufBLCAtCBvkifGaWXzj4CHkEyEiBsdRGI+rKZUnIAEzbdrEk3MFCJ/Vvak4iMUliR8Z2M4Rc+0csFgufIWWo6ppze+coqgrdGCSBJHf9ezQasT0a8VN/+iepq5rf/eLv8dGPf4Llcsnr166i0gSZxFTznFprhDVgGiIliZSiahpP2oAO4L1ch90FmSms9iCA96PygGyb0ag1VtCOR6efTQE+o2JN6Bqj3cusDSTIOuomSD/it0oh16RwyDwyhkgpOsMhWZa1QGwg9LM0JUoi+r2eM7TfqE9LJPgx0Pq351BXEKRpwnK5dB4mSrX+It1ul4sXL/L0U09TVTXf/f4rjO/cwTYNUgmiWPl1iiPSbCDcfJ3b9aOxxEnszKe18VkynMqu8SS3zx4KElvrlvH7sGGq7ouUikgF6SIXpRvmdq1dRk1da5aLFY22CC83Jn07V1VNt9tlMV9R1w0LvWS+zAEnwah1jbE1nazDwdGRb2NJrRsia9GNJi9KhoMBh+MJn//8F7h18yr9/pAyL9BNzfjoAEHDf/C//d9w7twWkgb7zBXu3bvDYrGgKCpUYnnu6Wf4/suvkCYp29s7TCZTT0Q4IP7w8JD+oItSiul8ytNPX+G7f/SHlGWOUhKtG+c9VFUuMydKODo65uDgkJ2dF7hwYQ9rKsp8CVhHNnlyKZTQt0PbBqlLpdYBHq6t114hYa00m83o93vtvBV8ScL9Duu04Ovizi/atZ8QgtVqxb17h+28E7JulVRY4/zchBHeYyZuZdXqukLrymVMSUnVNFTlkkvnz/Gv/sxP8V/8V/8tw609tJTUVd2uF3RTEqmEf/gP/zE//qc+z7m9EYvphDiOHDGsQ2BC1JIjzksuBZz0K7iAndB/T69bNte0gRQKa8SFJ4Y/LB+WJy4bc0c7tbyfy1nRf+/C8X+ox/OgNMIB2SYCmWiyfkXWLxj0V+wOZ+wO51zoTLmQzTifTslEQypqYqFbCZwwn54+/fq3PX3qx67mE8awnrHVXaTLEhaEzBGFJZbOJD6VmkGUM4pW7CYLxt0eqzIhL1PyIqGoUooqoahjyiqmqGN0LWlqha2d7JbUwmVGG1yW7hm1a5cOj+hPPxQs6fRJnvA5PGtXK8BKiwkqzpFxUlpeYlmcQOhOgnsEqZqz0MGzSJAT28+6oD+O5TFu0NtuhoeTIifJlvvr0WaLbBAhrXwWngSRxnuNmDUZInywV8gYCaTKBrF6qtucWfezuvMHtVgEwmfJO3DfbX3/lpCd8STP4gaJt3H/nvS+raX4HtVJHkyKnKz1SQJE4AHud6n5wxvjWecIcYJYfLbIpqSW2wb+2ZHGYSPSrjNGfLCrBcSDMvIeRZic3neDHPkTUfw1P1G/PEGG2JPbH7N8oImR5WIJPmowiiLyPG8j2QOpcPv2bay1rbTWpqF6AL4D2BLHcesXEggKKSVFURDHCYv5CiFt67sQ9onjmP39fRaLRSvTVVVVG8FrfFSt9ERIHMdsb28jpeTo6IjaZ3+E7I7JZNJmiqxWqxMvymVZYrRuJcPu3btHt9ttwYC6apx+OS57pihXrfF2IEnWBIltrzeKnKzQYjFvTUGD8adSLro8eJ1orcmyjJu3bvHqq1cpa+WMjFHo2lI2oK0kybrkVcPKm87XjctgqI0lSxJqC6Zx/iGNj3I1xqA9cNQs3f2VAhf1bzTGWIbDgYvMP7cHwGq1ZDwes1gsuHvvLk1TUzd1G6np9L6btg2MJ2GwzqPACEFdlCAEQsk220co9/aSqgglXXSsIEFIB9hEUcRssaDX6RLJmEZDr9vzfTBybHHkMhBc5LPrc7U2FIsKY3KSJKY4nDjTZW5hTcP21oCnLp9nOBzwkZde5OjoHlhDr5sRKYGKJKNswHR2zNZgwCpfsbu3hYoiSu9lE4ib1WrlJNY8oJfneQuUBpKw1+swnU7baNUqd6Rgf+CupWkaOp0Os+mM1WrF7u4uQgjmiwVCRuzt7bJa5T7SvgJCtk1MFCWApN/v+z6smUzGLrq320OKCGFd3eazKfs7+2xtDzFSkJcViYi58swz9Lb3kUqxrGu0sPSGXawQXLh8iaooGQ6GzGdzFtM5aDCNJUIhMc7PwwNKRVWymC+oqprLl69w6fJTGCvodLv0+0OkkBRlyXQ2p9PtUKzy1lvo8qUr3Lp1kzwvSOKsBbtGo22uX7/OeOzMzuM4Bmm5fPkCSZLwX/1X/wXHx8e8+srLRElEt9PFmIbVcsanPvFx7t6+QxQ5+ajJ0YROd0gkJVVTY7Sgyitm8wVYQRZ3WKwmjA8PObe/zfPPPUtVVhweHGOtIEm7LBYzrl67gRTO/Lfb69DtdcjSBBk5zX5rDTISSBSGxkkZ+QUyBELEjbNuUW6RrOWJrPVjqNFoC1ayYf7ov2WgwSJ0g9CSJGQEWIGxwmekGO89AHHszNaFENRVxTIvWlB1MnP9M185OcA0SVgGPySpKJvKEXxxzGq1cpl3UcyXv/wVkkjy7DPPkqQdbt25g4wjkizl8tNXOBwfkZclnTomkj660Vc/SPKELDJttAfIlVswS+ebov04H4iS2Ev9tc89eMBzE8Cn3R6kt0xdt2+rgfyQbdQ4WKt91YTnqe5fHoXzWWNbkDj2huHBP2prNCLLMqbzKeAyBANgK627HxbaerYku3BnNI1GKZf9prUmUorDw0Nms1krnXfp0lMM+gM+9elP87nPf56bN97i9ddfpSxWrVfV6ej4cN1xHJMkife+isiL0s8PgTQCsL6pRJtZ4gjvdbs6MkQgWcsSGeOvzROAutEoKVCx98zSBoul0+kyX60oSueRZQwuItO6LJIkqel1+1gL8/mcTtpBCoWxkqKsMXXOaODWJffu3WO5WhJH/TaYI0ozamMQKqLT7fLW1Wv89u/8DqPhFlYbqqrg+OAe/4f/+D/imWeuADV1uWR7e0TTFJT5Cps4j5ed7W0u7J9nPB7z1OXLHB0dI6UD5DudDkqFtUfJbD7lwr4bY9988zUGAyej2el0KMqSNM6ceSAu22SV5wyHHcoiR9cVSgmslYQVa5AtDJkidd2gddnKdTqZPOmeGawnlao2a+n8+fMsly6DdnPdtWlwr3XTSkEGgj2O0zYbMvjLdbt95vN5mxUro4hau0zhOEnaZ6kxmtBRjG4w2pGIjlM0GFszX4z5qZ/6Cf7hP/on3DuckHRH9NIOtXEZYkZoVCQYT475zX/xL/j3/r2/SVMVKD8+6Mb67Ji0JT02iZ8wP7sMy8i3m2uvJIkJHjZx7DLQokjSNIayLHw99X3P/oflw/K2ygcAxfrAkSJnHXfjIk6QIgno1CK6mu7uit29KRdHY57LDnm2c8hQ5aRSk4gGhSMTTmaJnDzfBvT9wGDJJ7nsR8FdD9x/E8j1yJPymyXO3yAS2klpKcletOCZ9JjcROQmYaUTFrrDUd3nqO5zXHYZlx1M0aFcJbBK0DlQSmxlEbVwBEnjA2/Cqf3v+6LtH3Rh7zfU6WE3YKO/BRk2G1mIDCLyEcxyMx76dAT1qcMFwu4xq7Te9ZHo+dkHeR/wKm/n1O9sdR8O3p3st/a+7SGm7DQ5oqRZG7ALZ74eSBGBWZMhnJTM2qyD3YC+H1T3d2KMef8U1ynDFYvNlKr3adkkbh6XpHD37GzC/MnO6473g1JjJ/d+mOvL2QTLmUPWaXb8xGMWgj9pyY/1V06Oaid/zpjghYvvlMKumUThVBbWAYzWkSMPapbT2x/G2r/f5qd3u/g56YE96swP1jjO23l+P9DESK/f4+krV5hOp5RlyXA4bKNiy7KkKArSNGVnZ4fpdNoSDVEUtZklJwATa+n3+222xnw+Z7lc0u06s9SmaVAycvJD2km1LBYLoiRqDcmTJGEymThzchVhtMY0G8eu3At+mqZMJpM2Kj3IEh0fH9Pv9+l2uxwfHxNFUZvtESSKon7fabuvVmxvb6O1ZrVa0e/3ieKIxdztv7O7RVFkZFnWAgjBr8Tpaev2+pum4fDwACkl3a7za7AY0jRha3uLoiioq5rFfEmadnj1lTd468YNikbSmAQhnMdArS1CKabzOUltqRtLpTUCRwzUtUaphKKofbSwu37HxmqsdUZLQdYlTWIi3/a6dlIeTZ639Q7turu76820K8aTCbdv3+bo6Ij5bMZiWVEUOWVZOCNApYiimNhnzxhjUB5Q1Bumzk7SRVPgQTbhIuqDfn+/32c0Gjni4Nx5zp/fp9vpOi8GKbBS0BhN02ga4wD6xlgETv6lNjVN6UAOrStiFdHrdhnPKu4dvsJoNODuvRkf/ehLbI96CFOjIkscK4piwWg0oKkrut0UrSuqpsJaODw8bI3O5/M529vbbf8MPhlpmrYyJE7zPUGp2N0DHXPl6Su89dZ1wAF/WeIyVZRSLJcLlssVUiniOOHePddvOt0OTaPpdDKsdUD7oN+lqrWXoIuoa0PTaNJMYmxDWdQMB1su+2prCzA0VqA19Id7jLb2SbvblIXgrTv3+NI3f59r168yGJ2j0x0wny8Z9vtsb41I0tQZwMcRuq7QVUOSJtjayYwJ5fw1Xnrpo3z6Mz/C8y+8xNe//k0O7h1hrXJeApEkTTue8IyYz9wzun/+aV5//Q1m07mXeTEYq1ksFm0/SNOENE1omprZZEyvP6DfHzAej7l2/S2MNVy8eJHZbMZzzz/HzRs3ODo64Gh8xNH4iLTTY3fvAltbu9y9e0iS9siyhFu33gBr6XQTbt56i1hZPvqRF+l2E44ODuh2OoyGAwbDEWVZ0u120NqwWCzIi5LFcoW1hk4nY2t76MczAItpDNrirt17h1vEWprIgqXBRd174D1kJhAknywC1RqzWx/eH4y13Zlw5HAUucWmDdJ3jmRxpCVcu3ad4+MxTe0y2tI0Y7VaceniU2xtbzOdzcjzgizrtuO8I8TjVpJQ+oyRL/7eF/n6177GcNBHCMmLH/koaa9LbzjkyrPPc+fOHZrGoqKITqdHXebkqxKbRo7oVNpnGa0Nka2xWGnblZLbZtbpvlZjtSNNgzeC9WSSA9i9d8ZGhHiYf4xx45uQoo1od3J9lqapThAqwfcD8IbpYLVF++yVUjsS9MKFCy2xGSeKTpZgTEOeLymKVUs8OQ8pl/GjpETrQPSsPRHCeYWQrFardp5oGleTINmXr3K+84ffoSpLhIrIfBZJt9ejqHKaugEkkZI0xhm+SykRUhIlKYN+nyxL6ff7jtyezanqpp1ztXbkTSBX2naxax8LISKEb28RjNukuwdSCKSSbsFl3EJbSUmsFLUxGGNBSprGyQ7KSNFYl20GkiSJ6HS61HVDU5Y8+8zz/NIv/wpxnNAd7HJ8fMhv/No/4s03X0FIJ003nU7Z3cmoq5xOt49patI0RghLmmU889yzjLZGKCGI4pjZ9Jj/4D/8D/jLf/kXmc7mNFVOliryImcxn9HrpCzmh1g1pGkaPv6xj/Olr3yVXj+l0+lQ1yVC4ttLspjPwRqfqRfziU98jGvXXqPX67Ja5X49pJGiIcuEC7o4OuAz0SfQ1tWxEZaiyBGiJorcnN80ZZt1mCSqXUdtEl2B5AtkaghQCNm6h4f3yPO89UzrdrutH5q1ps1wTJKkDTgJJFk4j+vjvXZdB1B5idA4jsA6AlAIN2c1dUNZlCRJjIpjkC74ottz2bN1XfPMC8/xb/9b/xb/2X/2f2W0tUde5qBiirIiSSWrVUk36/M//+Nf5y/9wl9kZ9SjKnPXjyPpMzxUm8Hbypb6bJGQjdz4OoaMVykFWluMqREi2SBGnTScy3Y6W1ruw/JheWRpwyQ/YO/Y7xZA9aTI/6OO8QCQo4WmpcVGTupIZZpRb8X2YMnWYMlOf8HOYM5ud85+PGMnXtIRtY/8NhtZIqfDW88A/h9SpSctD+d5HgxWrUkS69eSLvjEurgZlPUyPxhiDIlq6ChJZUqqKKKwK7aTJRf1hEWWsGwSVnVCWcaUVUJVxS6zpEpYVRnLImFZZjSlWktwab+OfSiLs76Uh9ptPGbbvK3ykAOd2Q0Dv+H9MwkyWsoHJ0nW5NkDjn2SCLEb2x7B7CHCf49FpDywvIug81kY4pOf7v6Le9hz9gMd+4HHfVAdbPublhTxv+WaIBF4UiR4irDOJjnpIWI9xL3+aWW1wn4b3zlNirzP+YMnKPfTfu/Xcn+bb2ZwPOw7D6Ye3s557al/iRN/nc5oOXkUceKbj3tud0yzQaKsDd5D6NvG0U+MceLMwSHsv5bNCt8/2cND9sh9c55/7ghxYxIPqPjv+XP+wM/JH58H7dFlgzh/YN/Y4EBs+OMsnu4J2u0DTYwkcdJ6ggQDS6UUq9WKNE0py5I4jpnNZuzs7LTeHnt7eyyXy9aPZHt7m+PjY5RSzGYzpFTcvn2HNE3pdBwImmWxi+4vCh/564DGKHLSCcIKZ6Y6m5PGKcIKmtoRLwbNKs851z9HL45YrVa88cYbKKXIsqyVwpJS0skyByh5uZPNl+dOp0PXZwMcHx+30ZeDwYC6rk9E/RtrmE6nZFnKeHxMVVX0ej12dlymynQ6Jo5jer0OWtcURQUIkjRlMZ+TJLGLpjQ1B9U9hJDESYrWgq9+7dscHY7pdHtOJkkoJ5sjJWVVoS3EaUaRV06ORiiwmrpukFKRJK7eIZPDeokaJ9kjgfX9bIAqdzIfQW5Ma432oKuUDs3NdcPSAyX9bo9PfvwTKCWpqrIluO7du8t4fMxkPCbPc4pi1cp2GOMkqySiBXaUUsjIyV0ZLL1uj/6wz4XdHc7t7bK3u0uv12uNybFOnqnIVxR1hTaG2jjDVaRCigiXNeKu04FDkfOBUClaCMaLhiSOEKLHvaOK6fIOt+5M+dyPfpJLF7cpZ2M6GUQKal2gTY0k8WCRQChFmrksj16/S5alWOuyoUI0ttNub5xsSzklksqDRzCduayno8NDssTpuve7vTYKtyhy0jSh13OSWXVVknU6AORl7k1uoShL51PT6RDHEUWpqUrNfFkw3NpF6xVZJ0FFhtliikgUx+Mx5y9dYGUa4k6P0f5TWJnylW++zndffovXXr9KlMV0uuep6poXP/I5Xn31O0znU4ajIZPZhH635wjFWNIfdFkunbn0x1/8JBcuXWJ3b5/z55/CWMU3v/WH3Loz5qnLz9I0DUmWthI4qzxndm/C/rkt9vf3+f73v0+RV/QGXaqqZrFY0uv1SLMuQkq2d7aRCsqyAKVoDKi0R20s3cGIT3/mRyjLnH6/x3Q6ZWu0zfPPvcCqyBncuMHxZMygPyTNRrx16xAhJJ0opdvrU9clUSyYjMfs723xI5/9JMvlnMN7dxHGYrUj3AaDESoSlGWDtpB0MvJVgbWWPM+ZTmfcOxzTSVO2RiMG/R5JGiNE7D0xwKKdrJN2klaRcpkPQrhACIlwL2AIUhUjpKQ2TiKtaYyfgERL+ErpMkC01jS6cfI+UnrTdufVYbBMxsdcu3aNra0tnnv+eS5cuMjdu3c5ODhka2eXstKMtrbR5rqTMxIWKaFpKmTkxzwk2hi0bVCJQlonrFxpl8n0L37rd4mTlN3dfc4/dYHPfuYz3HrrJpPxMbU3Hc+LgjgeoHVD1ejWsFtYARqaskE0lsg/78IIrDcDNQawGutNmK3PnnDZYm5FpJS7duv9WSwuy8QYF4EOTtpJGyf9I324hPEvLUE2C+SGlFCENQKpEiyuzpGSPtOlJo4UQhhM4/09mgoEDAYD9vb2ODg4bOfOpmnAGg9i4LOE3Fgr3NsXyvuuNGVDljoD907WpdPJWCwWOPJg7UFkreXam28QJxH9/pA6qZgtlhRV7d/wBNq4tsm6PXqDoZNZimKUsQz74gSxX9kahaRsaoSQWOOXyUr5F3Xrs5Jcxo2MIqwUaDSOn/cLVWMQ1pLGCXVVMT0+Zn9/H2KJ1jXL5dLNQwhi5eQynSycRCPIul2i6YKnrjzLYLjNa69e4+LlLnu7F/jLv/rX+bt/57/gaHJA1ukym8/Y2t5mPp2wu7eLiiBNJVmWUORLtkZ9trZGHN67x6oq+ZVf+UX+6l/9FQ6OxxhjybIehoZOp89oMGB/a0iT5xwtNVEcE2UJKolJOindQZeDgyWJkFhjaKqa2zdu8cKLz4Fx5ur75/cp8pzr16+zu7vHqijodhRFVRBVTmJtvJhyPJ1wbm+LTpYyLQrStOPW/VYSq4ioE9PEzQl5saookQi0J/SIjG9z4zJTioK61lgbsbU15PhoQJkXdLMOy+WSNE581kxNmqUoJalrJ18ZgkPi2K0l0jRzHliLBUII9vf3yfOCyWRMFEXEXkIyEDFSCopiSRQlpJ0EZ2HjAhlE5OTVpLQkCUzu3uRnfurH+P985AWu37pL2h+C1KSJclmIsZP5q4uGf/AP/jn/q//lv+2CTaKIVb5CCMtqpYmihKIo3Doy7ZDEGXVdon1WV5Kk7bPsCBDh5+q0zY4yxtU/TRO0Nqzy8l1cWX9Y/kSUP4nRh09aHqeNHkaKbH5dOELARkDHwECjhiV7W2Ne3L7HleExW1HOMF7RVwWZbEhl3RIiihCEcv+xA0D9IND2bcTz86ALf0gg7plFnNhvDWMFmVIXUCI8+aMxCDJVY3CZxVZJDAKdSbQVaCupTERlYvIm4ajpc1D3OSiG3FkM0Yshq0WGncewAGqJ1aw9SeDB8kBv45l4Tx6hABQJB7gFbxHjf7vUHOs178/+fgsonSBHwja7JkfeRpu810PLu4IdinfyuI9LijyoDhtyV8LDwBtyWPK+v53JeiBIWsIEcE/X2d5Dmx4ja5mts/f9413e6x79eGWT9GizXn5AEuRJzt16ahAcQ1yHXUf8b2aDbM5eT3IO/z6OU7Ewvm9ujmFubAwb12TJo44eCJHNnJo2oMGvzU3Y3qLwbrx0X7EgjAvC0/5zsXEAr7Yhzrrs0xPr6W1/EssTrL/u2+0HYGw/0MRI3dQMvDxFiBLUWlOWJVprBoMB4CSlDg8PAafXPJlMAOh2uwghiKKIF154gclk0hImQ6/NHsiT+XzWHvvChQstUKO8YWkwtVZSYbQD/oOWdsjCOD4+buWogplo0zj/gqqqiKLIabYDQTe79jInQb4rSDJ0Oh329vYwxnB87IiP4O8Q5CfyfEXT1G0U5vrczotitVpxcHDQvnCDkw3LspRYSeZlTrfToW40Ugpm0zmvvPoGi/kKKxWrvEGqhMY6OT3bGLSP2tWNA/x0o7FWO38BY9G6QSMQxtLUVXs9GIuxAj+a0PhRbuWjK0NWy6YkFtD6gWz6upRl6eV0IIoU/X6fra0tnnn2Clo3LrJaa5bLJcvl0kuHuUwGXdU02kXIx3GMSmJ6PSdHk6aJlwAB3dQ0ddX6bNRVRVXVGB8Rqo3LnFkH3kickbML5TE4Q+E4SlHKuGh6r83eGGfibKWgbgTHkyVf/v1v8Kc+9wmee3afup5ibUOaSASRA66VIF+saLSL5jfW0NQ13W4Pox0g1XryGEO302M2naE9OFiWJb1et80osZhW0iQYxK5WK++xohECHzVdE7T9Xc4QGOukq5q6pFaC4WibfDVhd+ccVkxpmgKpXP9GKBb5CotkulqwpTXnzp+nO9hiUTT889/8Xb7/8g3SbIfRzr4Dkk2NsKBUwqXLV5geJdy5d48ojpkv5t6Hok8cJXziE5/gL/zCX2S0s0V/NOKtG7d4/bXrvP7GNQ6PJly6eJkkzdAULhI4kSihmE0n7O+fo5vFXL9+HSlcdHOkEoqiYmdnp41aVirCmMa1pXDgfF5WxHGEVIrGVCRph63tba5dfYMsS7lz9y7LfIVKYvYunOfKc8/x1vVbvPram5zbu4QSEfvnzzOfTekPehTFgh/93I8ghObatTfRpiFREYPhgKJwROq9e/dIs8xFRUuFiBMEkkYb4jSj2+1TliuaqqYsSxaLOXEUMxyN6A+6AJgGkJZIKaz1skOeNBFSOIOYsFwQgjgBaQRGG4zQYJwEVeR9XELWgxQCozUNgHIZUyEbbzabcfv2bf76X//r/If/4f+Omzdv8Xf/7t+jqQ3WCObzOdPZjOH2NkmWtmOmMRoZKSTKS9NY3x8lQkgmkwnnz59nMp1jkPT6A4yR3L5zl2s3rvOHf/AHJJF75upGY5oGi6Qqm9ZYXHpDz0A462BYL4NRdyA43AxutXsJqYrSZ0GIVt7KCOszHTYXrW5MN7jjuIjw8IlrNxFIkLCvsawdR73HhvELzpCu60nQPM+5fOkSx8dHCAF1XdHpZBhryVcrRqMtmqYhyzIKPwdhHBGPz3YJkfnheo2F1JOmob2LomQ0GnLp0iVmsxlHR0dtJkpd1yh///PcSVkarR3JEkUYbZFA1umRZR3iJHMZl5Fya0wpUVFE4n3ChCgduVQK7/ECSka+n7q2cnJJEHuPi/uL68PWy6BlaUoUvEokqDii8uS2VIq68V5gSdwuxJESmaRcvXaV3e98l929fbQxjKcz0ljQ7Q+YzMdIZbl16yaf//znKPKCqszpRjHGaiyW3mBA1Sx59tnnePm73+Vf+4W/wN/+d/8mRruxxUmYCepak6QZ26Nt5tMjqjInUgNW+YLz++fY2hqxKgrnVTQJUkwK02ji2LWBFK594ijm53/+z/Pd771MnhfEUYKxzjTeGEOtK2SlODw84ML5PYToYRHuGRFrLfKQTRRFEaa2rb9Up+Oy7haLBa2nl6D1fgu+IdY6adJ79+7x3HPPEUUuO3QwGDjpxyJv+0BVVa0cXPhuWJ+FZzNIaYV/hwCHJEnaQBL376gNrAhSecbjSTbUUwh2d3f4q3/lV/mP/0//CZdHIwpdU1cNUkgEgrqBNOvzxS9+hT//53+WZ56+SL6ae+P1GikkxjSkadoGhlhrkSpCRY7klEKcWNOETBm3rixa6VO3PpAoJciy7Iw+/WH5sDy6WLEBYPxxR7Teies7i4k4vf1xQI7IQmaQHU1vkLM1mrM7mvHUYMzT/WMudGd0ZUlHVKSiaaVvXOT2yYMGzOfhl+fXJO1fj9scG+f5Afa6b6snQfyvNeAEjjTCeedtbhdhOcNJ0kdbSWMVpY3Y1UvO6TnHnRkXsh6H/R7HiwHTXp/ZvE+xTKlWMbpUoK0H7h5yZY/bZ94L0EpstI8AgnyWAhPhTNe9hNZme5289x6a9EhmaOf2k5Yw8evazS+fdc0PAK8e9Ni8E+UJeIR37IRv/1gPufpHHPTEEBMenI26hGxoIXygurBIYTwhAkqsZbTuM1hvgdyN87TP25oMCcffxBlPEyMflve+nH7eTvtO/TDuVwD8LfjgOuvJkXWNwvZHzxsbJIqg9X0Jx7OeHAm5IqHvhnnxRAZJeFc/45wP2mIfsK31Gzm1TyBHhM/gE+GhOSN64cxh9Kxx9E/yQ/YkvNnp9VZozDCvCeuyKh+zfKCJEaCVvYqiiLIsW5A8ZJGsfRSc6exyuTwhH2WtbTMKnBlnTRwnJ16ke70eWjesVqt1dgC0MiRNo1sj68Vi0Wrdu2jApCVNghxLiMwNhsKB2AlRjQHAns1mKKXY2tqirmvG43FLBKRpymKxYLFYeGkf3b7oO8JGMhqNANqsiOAnMptNUWqtu54kLgoxipTPMLBoa+h0uzTaRUBOp3Nee/0q48mcqnKSWQBFXlJbRe2lV4RykijGGozWlEXpo5FdVLMxbnuIIt/Umd801g0eHpsyLuEaNtvfvSA43fnNfR1wYryUiAdIIifTpXwEdJrGZNl2e6/cjzds9/ek0Rqt3SCX5zllVdE0NbppWK2WrVZ4uMfS6xEJoZzGoHIgLdZBmc4s2EWcRlEMHYMVEQrl9OazDrFU9Ls9dKNdhkYUU1Y5X//mtyiK5/jYR55GN5rVsqTXzZiMp6Q+OrvXdQD3arWim3UYdHssFktWc5cJUhS5k2er5y24hHDR2qvlCm0c+Cg9MKw9GAmBnNItmBX6rBCKOEnIy9xFjBvNsN/zYI+hyBdYU7FYjGnq3A9ShlVREsUZu7vnyMuS/taQixcvMtwascgrfuu3fpurb96i398CAXVTerDeYExNWeScO7dPImEyOXbZMLXm/P4FPvaxT/DtP/gOViguXLzEZDZheecun/rkp/jqV79FUeQ88/RlyrJGNzndLKJp3GKxqmuevvIUaRLz1lvX3POddimLCoNh0Ou757TRThbBGNcGcUqSxGAkTd2QZanvP5p+r8tgMOT8hUssVwtGaeaAw9UKYwTj4ynj8dibpdd84cf+FFeeusL/7T//z8myhGef/RgXLuzTNDnDYZ/x+Ji6rFguly6bK0rJMgfWzecrIk/KCClJYhftLtKE/iDDNpqqKljlOUVecDw+5uj4iCxzvg5pkqxlb6SPK/IBEMY4k2LhF9VWSBCOoIh9NlQSxQg4MSa10joEA2ZJlmVcvXqV4+MxL730Ei+88CJf+9o3OD4ec3R4zMHBAQcHB1RVRVEUPHX5MpHvl+D9oTyIGUjmKIpI08yBvXHMX/krf5WyaPja17/BnTsHjCdzwJJEMcUqp5KWLE1aSSylnNG9lM4Y3mhHflltwKzNwoViY7EVgArrnxdFVTWoWBMnCVjjJPp8C6xNzMO8LRAeJA/Hcs+c39ffC+dZJT0obf14J9dZd/7tyHE1bswaDAdUTU2v12ul8GbzOZPJFISkqusWYFY+Gy+QIkKEl+b1dVrrsk4CKRhkKauq9ASi8+vZ3tpilee+fwrqqkTrClt4REcqVJRgtEFKRZykZGlGHKUI6Qyyhb9mGSVEUkGjsbLCihoXMScR1mwshMBRTMa/IDpfl7Xc1voaQiR+uDZr3JhmjCHLOjR17cko6xfaos006Xe7PP3UZfb3L/Dl3/497ty8yd1Ltzh/4QISQyfrcPH8Lp3M3fsocv2rLCpn8F3V9AZOztEY67IMhKDfH/JzP/ev8rf/9t8mijpUtQYExmiEiPy8UZOmGW8dHHDv3gHdnQ6QkK9W7J87xxtXr7O/v8+d27dc7qWpkULQ+PXE3YN7nDu3x2Ih+cmf/NOcv3CRL37xSy4bQwoi4pbAMFIwmUx9NgNOPtB7sqzb0bTzbRxFbVsHWbWwFtKmwVjTzpfhe8YYRsMhr7/2GpcuXfJrLd3K4mndgJ+Tg59byEQyxt0bpRSdTqd9RsKaJgS9bJJ64TibARWBaJE+00oqiNIIG7u12M/8zE/x2c9+ltevvUV/exdhoSwrVJw40jlOWBY5v/HPf5O/9bf+LRf04PuaCyaIiWNJkMxDWJRykp5KqVZaa3MtuOndEsbR8H3X1jEflg/LD1QeAGi+p+WHht48ZnkUUPGIY7WgvwTRMUSjimirZH805qXRXZ4dHLKXLRhGOT1VEgtNJAyKtUHyA08hHvpPf/71TX4SUuRR+z4edXJ/TdYA7Ma7Xnsce2L/UNxKyHrgN5DXBmsbNDUDWXFOLVhFMas0ZqUT7gyGvDHc59pij6PJkPm4y2qaOWmtRoT4ux+svAegVQAAA7mJN1o3ysuz+R+hfGR/QO82McETTX0SLHwY//GDlHfyuO8JVvi2SeSNK36C74v2fw/47ARpcUr66oQJu/ESWo4cEXL9+eZ3Wm+S9u/N455xLX9CywchluCs+v1w6nx/65we1T0X68nx+43bN/91Ghd/2PfOKqIFxv07J6cJiZNHEWccz5742RSRC/9e19G9hm6Q0idf8k8dVZz8Jw/a909oedKh5lS7nYh9CNk8T1A+0MSIkqo1lV4sFq18ViAsnFyTWwEF4CyAuoEYCfrV/X7fAZNJQlXV7T4h8jFNnWxXr9drX6aDiagzMhetSXOQvwogQCABBoNBS9SAi7KcTqdessudp/QyWkCbtRKuZzPCcT6ft4BgOGcA5zdBrPAi3UZAezA8vHgHg/mqqrG2ptPJWC6X1LV7SY/jmFW+4o03r3Lv4BBQVI2hqp0/SF4bGiOptaHRGqkUhAhsY6nrBhDtb3CRwwCG+4mRTSB1U4M/XGuQ0lIqCPmtAYXg/REiLteRl16TvHC+Bc4AGhpv0K5U5ABtd7dO1MlYKIsaFSlmszlgqHyU6mo5d4Cz70tG+8HXWIRUWHBRnr7NtQdtosgBPSka2YCUCZGKSeKY0bDD3vYeo/4AB3rWzGczxuMDynLBN7/9h3Q6Mc8/e4kq1zS1YXu0TZkXpJ0OSZoymU6cTFuaUfj+1Ol0XJ1XK/b29qjrhqoq28js1cr5UNR1Tb/fd9kvWpMmKbXX2hfSgdm60dRNQ5pkDmAUivkyx1jD1tYuZZVjcBlBkZIsFwu2t7aYThdIYRhuj8irCikjIpVQN4bBcMj2/jm63YzggSOwxJEgkj4VOIaiqNCmJpKC4aBHL0tI9/f59re/SVk44KjbiSnKmk9++jP8/f/33+eXfvlXMLhsr24n5bOf/gRGa7RuyFLptPh1idUNabfDoL9FXZUcHR6TximdFJq6od9PARfFP18uiJXCYNDWIJVEScvWcMDR8TG9TocsTVktFggsw+EAawzPPfscR8cHLFcrsqxD3bj+tzXqsn/uAoP+FkJGXDx/jmefeYqf/umfZLVacHx8wJ07dzg+vstTTz1FFEUM+kPOX7jIYr5kPl+i6wKLI8eKsnDZHcZQVBVCBn1/QRxJVJQSJ4rhaEieu8wnLCyWKyazGWma0uv2SJIIhCJOkxaYc/cnvLQ743SlYpQyazLkFBgZpJgEAWiH1WrpJQQFaZry27/92yyXS7a2trl16xbz+dzL7tQtqK+kOiFRtfbAEG32XlW6zIc8L7h394AXXniJT3/q0zz99ILDIyeb9eabb3L7zk2klBR5gbUaYTTWaNBrY+/WeN2PP6FsjrEntlnrMs48CSxwck7G/wbRRuuGbDIpBEoI9Mbs3ZJJBpcZ48essGAI9ROC1s8oFKM1VemI226nx2I5Z9Bz3lllWRJFEb1un1prjicTkg25RhfNItpxUMCJcRicD5MfwtoMPmMsFy9eRAB37t5lMh6jvHm286uCKI5BWJddJFnLiVlHGAsZYZHUjaGqLQLt/Z9cfwkkQuPJJyHVBtDi71XjSDPnI6VOkHIn75VB66Yl2hopSFXisjv7fQ4Px268DjJMyoHRFpeV9JGXXvJzQ87+/j7j8RH/4jf/OXVteerKU+yf2+HOvTuOXDMuS/Ho6MiTZjVV3ZBkAm1hucpRouDZZ57lr/2bv8pg4LxVkiSmrCqytENVlyhriaVicjTl3P4Foijj+r05SeQkH/d2t3njzav0ej2SNKVYLkmiGL2ZEaldG2mjeeutG3zta1+nLCuiOCFf5VgEWZwQPL6Oj8fMpnN6nQzhdKcI4YP21HMQyPLNtlZKoaKIWEbUTdWuf5zBuOu//aGTERtPjnn2mWe97FSDiiRCuXk5EBzh2dj0F2nHFz/ehGc1ZNoGoiGsBdM0PTEuhQARR0gKlBJuXDewWMzpdof8rb/17/J//E/+M8qyIs4cqR2ek8YYYhnzrW//IVevvsVTVy6CqUFIlIrQ2iBsTTCgF1hPslnfD3U7tgZiJIw1YQ0ZrhscaVWUH0ppfVh+gHIWAvFel/eAFHnYpT+yOuLhx3CYjMXEzmC9MyjZ3p6zszflyvCI53sHPN05pq8KUqGJ0Bva/2syINyjFk4RG8d/ZDmrdg+/4Q/Ecx7r+Ke/dT+FIk5tf3D7rckURxLR/rTSJdaQigYjYEtJdCyorWInyekkDb205HqUc0vsooWgWcbYlcKaUx5Nm/j12QzTu14eeooNoM1K/yMsNsL5ivhsERKDiB0xcoqJas8QAEMbkMYTOloi/NdGXp9dr7PCed99hO/9hxs+Zsd4ElKk3ffBpMpJUsQvyaT3FoF2HJEbZIf7e0M2S7CRPbJBqBC2r8ewFhJ+gqjrD0Z5CPF8Yi9XzgLs34/lh123QCrYjdZ50EzwKJL0/u/Z9nj3f+f+Kz19/E1iBRs+ESf2F+JB+PmaMrGntreHao9mPR7ozyWs/8dZV3k2CfN+KY+6R4/63mZ5kmOIB/7jIeWsJYg4cWOe7Hh8wImRAJgHYiG8MBtj6PV6zOdzlFKtnEcASQJZALSEw2w2ayMdA4Bc+6jRLMtIkrjNYAjyQUHOwBjrDY8d+BqkIIIUV8h0APeCvxnFuClTEl7sQz3D53metxkmITumKAqf6aEZj8et8XyQsgjAYQAspJRtRo3WtpXyCtGVaZqhtW0jbK2F4XCElJLvfu/r3L13AEjyoqRqoDFQVSVWRhR1Q6NdVDSN0+pvPDhhrfDndC/6SimaoI2vNsA8DwSENgjXGKI+N0kTrdfZNwGYC8cIkjoOdLDtPXFSZYpG1z4K3HkeWAMqksRR0oLHrWSMMejGUlZOLmaVL915tPYGxQ1V7QAKrf2CRCpAEEUuohUffbE2pQWtVRuR4SZm7YBGGxNHgp3tAT/y6c/Q6yXkheHaWzf53ncbJmPNalnwm/+/36H7l/4czz61z2o+ZZ4vwIN4U58R4uSvgqSYYDgcugjywcDf85imqb3meuFNeV2mQBTFZFHEcrlk5p8hqSJ6vV4LnhptaQykWY+qbjBWg4wRcYYpGywNadojTiMavaQoC2pdt5G6KkrQ2lJpw2i4xd7+PjKOwAnV0MkyvvD5z1GX3+TGzUOMrpBRQq8XM5nmNNogiKhLw2DY4+krV7h69SpFXjCfr7Ao/tQXvsBLH/so/+gf/2P+jX/jXydSitlkwuc/91neeON1JpOJ827QzkR5e2uLLMu4ffsOkVKkkSLpRAgBy+UCpQxxElGVFdIWzBdLwFJVtZejS9nd7hLJBmEr8kVFN8vY3t5ja2vEcrng+PAug8GAbpYxnswYDfpEUUySpUwnUy5f3CdJHPn01vXXGfRSXnvlj3j+hWfZGo04Oh4yGR+zXC6ZzxZEUUwUxezvneP5Z57leDzm6PiIuqkIXj11o53UklDUtcFKd/97vS7GSqSKiZMEYxyZWZbOUHkyc/KBkZJ0ez26/R6drEOWZkQSjK7QTYU2FiUdUS08cSQFJ0BKa62XhfILDeuAYoAkSfjzf/7PM51O+R/+h/+By5evsFqtmM1mbbZfIMCzNCVfrZzPgwc6lXTSgdY4QLysGiIpSZKU23fusL9/nrIsSNOEj3/i4wyHQ9IsJc0U08kx0+kxWIP0IKUSiqZxUkybUfGbpd0WANYg1yQEVmsIc5EnbqRYS2oFU3OsSwN2vpluRWVOzfLr8wdiZB3fsp4jPKHjzx/IWmMs0+kMIQXT6ZTSg6lSKlSkOH/hPOfY5/uvvNLOZXXdYP04Hc6/SSgIIbCGDU8E64lh9wxcvnyZnd1dbt68yeHhYTv3GWPRunZeDtLJgwkhkCpCqsiZeasYg6LSQNG467CgpDO1N8bJHSFcVqLw/lJgPFEeNMtdNH60IU90uk3D9rZv+vkyBESUVUlde1BaOBInSBo1uubNN99kMp5ghZtL8tWCH/vxP81v/fYX+dKXfpetUR+EMzqvqoJe1/kdjbZ30cbQaENZNSS1IUnw2RaK0WiLSEI3i6l149cKkkhFdNIOETVie5dydsxHP3YRHb3FK9du0R+4bC9jDGWesz0a8dZkQift0YgKJRRYR+AXRUGkhnQ6GcPhiDhOmc7m1HWDKCsYunVHUxtmiznjyYTd3S1i6aTVrH9VkVIQiehEZkaQymozxKRAG+db5IzUVbsmcesP16de+siL/N7v/R7PPPM0xmqS1K1Z7Maztlqt0FrT6XQ2yLr1PQ4BIKef1zCnh8/C36E/h31cf9DYxrGWxlqiKGG5XPL5z32On/npP8Nv/NbveLlCF+wRq4goSTF1wWQ65/e+9BX+yuW/jDGuz0RxQlWWrv8oP0ZYwFgq7fqX1ubEmiP0s82AkHANYY17Vr/+sHxY3lZ5P5Aj7wEp8sDPT+O7j9s2m98PZIYEk1maviHbznlm7x4f3bvNxe6ErWjFQBUkovFZIhsmxy0Q6Q8lnpSwcBXZxMY3CYkftLmfFAA5a/8TuP0Dvh3kfFpC5PQxBSgLSkDsc/WEtGRiSVfUnIvmbKklSMsqiciPO9Q6Q9fq0ZX+IZYTEa6nS8DWpAfclF2TI7HF+CwRYuN+vJTWWeCQ2AC23UwuThFBHuC063+drsvpD54ERHucfd9fgPMTDADvQMXPIuWEOP13COpY/25/wr8Jz87aZ8T9bOzfZlYbJKb1MjppuL758367Nz9oOWt8PKu4PhAyBE5m0XxY4OTccn/r3E8CvBtnf5y9xGZE4mY5Nd7ZjZ+zyppidmNlS8J4YqQlRTard18git/wfupMG+3wRCTFA753ov0edoxT7S/e7rrr9PaWpHrE+U+VDzQxUlYl3a4jRHq9HgBHR0fs7u7S7/eZz+fOVNl7a8Rx3GaRBDPPKIoYDoetxJaT0LKt2Xe/7yJtgY1shAAGueyMTqdLWZYURdEahLsIfNtGUIKL/gsZIOEleDQatYRMyBYJkYPOz8J5MQRZipAVEiQl6toZngZflSCz5eQ3hH+Br0mSpAUsgufIfD5nOp2yt7dHkqRUVenJCAdWSil5+fuvcOvWLYyVVE1NYwxVpWksFGVFbSryyhnmSSUx5mTGh9bGR/uuZSGMdhH2wrjeL8TJRym0sctwEVgrPXCl2usKn4d7AQHk8tkhRrdtHKJFnR+II0ZCpKYxTlPeAXV4oMs42RCjnU+CijwY6MA6Vz/dXhPWOk8RBFIJpJBIYz0B1JwAaqQHihwBtQYYlYiIo4q6qukkMef3txkOU6rG0ukp7ty9w/H4mDjpsJhN+P2vfZPnnv5lpIgRsiFNIyd5NpuTZilN5XwDzu3ttT4qcRShvOdD8MiJvMZ55jOOsJblcknTNPT7feIkIYpdXyjqmiRJsaIhSzKMUcyXNb3+EGpF1TSkIkUmAiU0WRoxnR1TVzUWSX8woNGaZZ5jRULW7bO9vUuv13cDqlToxmUWGaO5fOkSv/Dzu9y8fcDrr13j5u27zBcTBv2ILEnpZCl1WRILwac/8QmuX79GFCuiOCHNMr797W/zN/8X/w7/8f/+P+Lnf/7PMhgMWCyWPPPMLh996Xm+/e1vkXY7TI6OubC/TZzETI6PGXbdNfe7GR956XkuXjpHHCsm0zFJ4jTwp9MJi+WSNEnR3lOoqTWz+ZzRIObatRVxnLC7u8tkMmZ8XHJ0dMhoa4v9c9tcv3adSDQ0RtNUNcN+h4N8wdHhLc6dO0dVNYhS8eqrf8RyMWY0+ASr5ZReN2XYvczW7jaH9w6pqpq7d+5x88ZVtNbs75/jueeewlq4c/cOeV6wXFRoa1BGuewCEVHXmrpekaQZ/W4K3S7a1BjtxqnlcklZuUh/ayyrZcG9gyOkEOzs7rK/t0Ovm5F2lI/SX/dvJR05gnUmaZuZYdq4l9e6rlui9qmnnuKZZ57ha1/9GnGUgoXZbEZRFGxtbZFlHVarFcvVkqyTIKaAESfk81x2g8Ron6UlHAF38+YNXnrxJY6OjxiPZ9R1w3K54tatG8SJoihy6rJERbLV+o9ERNkU2Npnx+A8lGS7APKeCZurHOvJEQtEEfixp65qZzQfIlKkdL/9qkv6t3sjBMKuX1LbeYY1Wbz59ryplyqlW6AZ76shZISwlqIqvScK3Lx5w2dTdbF+Lrx3eMjTzzxNf+h8heIkQUbO9PpE1lxLcPvKSUFjNGmWoZuG3BPYdw8OWOYrkiQl6WT0h0Om0wnWehN0Fflx0yIjl1momwahUqIkQ8oIKyTaKvLSyx9KZ6+HbTBGo43FIp2nlXWeLPixWwogCoSLj16ybMwv6/vlwPHIk9nSS9i5+10UOY1u0NbJdYVQI2HBGicn9da1aywWC+IkRjc1cafH9tYWn/nMJ/nOd/6QNIkoq5UjmVPn0TSbzdjaPgdWoFTsiOGqIYprpDGs0Lz55jUSBb1OivRSTsF7S1iNsjWmXDA/ukfzxpscTHOsboiUIE0Ug0EPqSL29va4+dZb1E1DFMcYo5kt5thbt4giiTHnAMne3h7f+MY3mS+WxGmKUM4jTQuwUqGNYTab0zSa2JMVxmpEyNpSyvviSE98BIPzEqSg3+tRNw1NU+N05F2WqpDgUuINUih2dnbIspSrV9/kk5/+DIf37rr1j3RkRsgcC+sX5wvGifsZgiUC8XE6wGQzIyNIlm6WEKwQRYoojoikQsmI+WqORPDLv/yv8eWvfZ2yKJBR7DKgkC770ViUgD/8znf56Z/5aS7s7/ixsyGKYqz3aVuvBQRWu/VKnKTt874pExrWSyHjJfijBMLkw/JheVslzDHhnfzdxi3eTnmM+rxjmPYDztU2y0Pq0tbhFGJv8e2bGDq9kmi75NzOjAuDKZe6E/aSOZlsSNggRTZMjU+/x58UAXk8lOI+EuHU9rd7yx9EigT48Kz9z7oWt7Z52Hk2MkY2f28CxRv/FjhAIwYSqUniko40NCZmbrrUIuKg2eK4lCy0QjQC0eCNfNcX8iQtvfG1+78UCA0fimw3G37z3486WQvuOEIECVZa97slRaxniDZktB4CBgnC87/x8G+sbzf2ekjFNvYVIbt4c/ujoOazt39wyhns0Nso9z8D9szPNv1E2vvbkh+O9JCbv+XmtrU03wm/kRPfsygMQoSsEveScnoMfOfvkT31+4dfHn1Na/Q1uFq8X/vvg1rx3arbg3Dp+8vmuLK57XHHmQd9/uDP2nHGD06bZvCPLm4Ad0IQYQZdz8RrQiTgmH489c9mK3doN9YRZ5Ij73U59XA/iBR/wp51Nily1uxqT92ohx72wSc6Y/+zn9JHlw80MZJ5nX5nHO2iJff29miahldeeaUlKYKEVJC+Ci+YcRzT6XQYjUbty/LR0RH7++fJsow8zzcyM9Z66iGSOehYj8fHCCEZDAZOesqTIk5iixMvu5va0eElN9Qrz3OklysKL/Ih0yWQMrAGARaLBVEUsbOzw8HBQUsAhcjCoijaaMMAhCdJQqeTtkRKt9slz3OuXbvOzs4uw6GLbA+g5WuvvYa1grJuKGtNo6HSmka7TIraZw4YBJGMW1DNZa+4TIuQLRKiHZumIVUpTVO3wMU6Ywas1dS1abNrQlu49lsDAkHuw3qQzEneOL3u0Habet3GQFU1PuPEkSfr+1K20cwOvHAjWDBELysnnyVkACrXBq+uLo4YcmCMA4zQGmP1iWyZNYlj0T5zRSmNbixVqamKmhs3bnDn1m0Gg2eIIkGapfT7fdKswzhfknYGfP/lN/j+K6/zseeeppEQS0teFpw7d46yLNu+vVqt1l4g0BKDVVWRJskJWZE0Tbl16xY7u7ttZknW6TCezhgMBm0G1Xy+REjF0fGCu0dLNIqmMTTW0ul22Noacn5vx/lPxD1G/RG9boJtakRdE8mIBsWFS1dcpLSKQQiaMnfRt9YRUMY0JKnguWcu8+Jzz1DWFXfu3mM2m1DXNbPZjKqsKYqCCxef4SMvPsd3X/4+Rb7CWs1kMmYwHPDUU0/x67/+6/yNv/bXWC4XLBYzfvZn/ww3bl6jKHI++rEXWM0XzGYzBt2ELOuwmC2YTQ955eU5q8U+H/v4R3jpuYsIZZ2JeDOiaUzbzuBkU15++RWUjCj/1GcZbW2TJs4L6O7dO0wmE46PJ7z+/e+wu7vLfHKPZ599jrJu0KZhNT/ia1++xosvvcS5vfMUZcWr3/sDXnzxJSKhObjzFnmeuyj08oKTdrOCZ65cZudHPsnx8SHjozHf/PqX2dreRSnFSy88R1le5N7hEXfvHbBarUiSjCztYq0lX+WURU4cRaRZSpbExHFGJ0totGW5ysmXK6KuI1OX+Yrx0TEHd+4wGHS4cOE8w+HQ+Qg0GuP9CCzWsQl+PApjlrUuCyuQuwBXrlzhH/7Df8jLL3+/HcuCMXsUxYzHE6SklfZrmhpt1uOqxaJwWR6OnHTjbpZl3Lt3wD/5J/+E2XxBnpckScd/o6FcLNGmRsUKYQ1V6aUPI+EAcX90oPUWCdezjorZfKkOfjNrucIwvkil2n3aNiHIa3lTbLvOZAyR4kq4LIa61ghpsZp2vHPAMoBmHR3oM+w8+X94dEhTOx8sRwodt14NnV6H119/vSX0HYlt22j6zXE2SFlJL9kVwNmyqpBKOc+qyGUDLidj8uXSEUJSYrT25vLaj7GRG8cFRFmHTndAnHbamDVhBWXVoKR0QLuwSEsrBbVJhgVA3hh9ytOGdm4I5bRsozHWES/CjftV4WQEtb93SjnPHNfv3Fyfr3LSLGG1WqJ1QxpnVFXh5x3Ds89e4fbtG1y7+jqdTorWtMEP4/GUS5c1KHcdQlmMtRRFjSYnHnbIsgxhG4RUpElCURZUZY1UkMUpkVCoSFBMJwBcON/n9sExdVUhZMzuzg5Xr99gf3+/zZYtixVKydbvyFgYjyecP7fHZDLhm9/6JkmSMRiO2NrZYdDtMhh2kZ2Iumq4des2Tz/9FKMrl2kk1GXRkgxO7k1iTUMcK7R27ZtlKXUbSKCJYkegLJfLdt0Unv+maej2ejz//PN873vf4/nnn2/XRb1en9r3ybBOC/4j/f7A+7SYE+TBZpZpeJZC5mTk5d1CH9rMvHBrQhfoUJcNUSyptJMXXRUVn/z0p/iZn/op/umv/QaDUUapDdL7KgkpqY3h5u17fOWr3+CXf/EX0LZBILFWb/RV256rfa3y9dn0oQsBLeF5DG0W6v5hxsiH5Z0o70dO5GHlh9LrHwAOnG6nB9XF4oFrAVFiGPRztndnXN4as9ebM4gKOrImxrQgZZCwgfD7/jNtQnMPpifuJyLCZ/cTJY8qp8/74G8+DNpabzvtM3J/vTY/Ov0jccEPDwLiHDEiiIUkAhQWpRrydEnOIUJYVAnLImVSZ8gSlHXkyNmg1Qbm8iAkf3Oz8Pdmo9JW4TM9NrI8NpmeliCxD78pm/tK639oyRCUezdFbpzfA9tnttZmO4a5RLT4oV8rWYLuq928yAe2ggvsOUmOnHUh678egmm9T8qDev07MxI9lBTx/74/o2ddXAaIv+Ub3iAniQ+z9hvxpIcSa9+RE+bsG7/Ffed+kus+DX6ftX392SbxG2K+3i994uS45nqtOVW78Eb4funPG5QW74cMl5O9YX2D3Wvrgz1DzvzeiXJ62+Ps83j1DMPfOnsuZIecZZ5+0gC+jX4MpDg4Av70Zb4vlvGn2uf0XNfOJQ/5fhvRecaeZ5IiZ/w7nMc+aFXwgLJRXwFthsjbJUXgA06MKOW8EcKL42KxoK5r7t69y9NPP81wOOTevXuUZdn6iJRlSVmWrQ/IarViPp/T6/Va+YLj42NGo1ELem5mUcxms/YlFXCyFFFEkqStcW8gXwKQF4CYINvlolKL9mU5EDUhqyMc31rbRm8HI/lNM+yg335wcADQvkQrpZhO53Q6ndZzRUpJt9ttX6xDBspyuWQwGPDSSy85YFEI9vf3ybIOv/brv05VNUipaGrnZ1HWhroxlHVN3TSUDdTGDb11vfZPaZq1RFgoWrsV6FoaC7wlOfhBJ+yvfHSxtYI4DuRIc+KY1obMkeYEWBBAkpAp4kAcl71iNDS131e4EasxHszVFrQTs3H3xgGETVUTIiis9kaKYk3IBH1yazVau88K7fqMlEAUZHU0GCf9I4UEA1IpmkqzXBQombCYlxzLY7797W/T7Q+4cGkLoyFOYox1I3XdwCqv+MqXvs7Hnn+ONMnQ9QohJHVds7+/z/HxcUvgbUrIdbtd6rpu/Wu63S7Hx8ctaba3t4f0faTSBmtqdGO5ffseu3u73L5zm1u37nBweISRXQ6OcorKUlQNRiqGwxE7O9u8/uZtXnj2Mh/7yDNIBUhJXk+BiDTpcuH8RaLYRSiDI4iiJMFFHjkZHBDIWHm23tJREc89ex6lLro3DKBuGrS2xHFGt9fh+/+X/zOxFcznE85fOMc/+6f/mH//3/9f85/+J/8pP/fTP8P58/tMx2Munt/hC5/7EX7vS18kEqAU7O9tkSQpkYzY39lCSUsng7rKObx9g+1BytbWkKKs6HSd9M14PGaWz4jjjDt37jI7HvP8cy8yGm0zGg5Z5TmDTLKcHvDspz7KYDDitddeY7Va8plPvMTnP/95pIxYLBYc/dmf4X/6B/+Ab37zm1yLU1arnH/nb/wqP/uzP8fLL3+Pn/yxHyVOIl599VWsccbI09mcyXTMYnGA1jVpHPGpT36ENM24fv063/j6V4iihI989OM898wzLFYlr7zyGsYI6lojpSMzEimoihwjK+IkJYki0kTR63Zgd4f5YslyuSKKBmwPBuT5itVqySvff5UkSXnqyiX29/eJowjd1CgpPCno5a6U99lpNFnXjaluDBZ86Utf5ld/9Vdb0/UgjzccbrFcLrlw4TyTyZj5fMbOzraPBhcoIVnkRZuRJoWTHdrMHGvqhuNjR1x3uhlVWbGaL4iSCCEs2jjJMaxFRQos1J4wFWEhZC0uK8GTJBZPnLh+GfYJ260nBIKpchzHmEYTxRLdrOWRjHXZM2ESj6KIsqla4tyRyp4AsSfjlKSUWOOW6O37rzEgJU3tpHuSLKOsG46OjtkZbXF0NCaKEqSMMKZitpihkogs657wptJat1JVQsiWJApZkkpFSBm8nlRLMgRgV2uNjCJM8HWwYeHrCRchEZFCqZhud0Da6YJSJHFGXTtZrCRLnfeFku6yvGSVewl0Rua9Xtf7ROmW5Abj74cnqOUaZgpktmu/9TwSsgecL03O/oULvPr6Gx6glj7jR/ggjAJTNyAThLFUZclwtEWSJByPD8k6HV548Tlu3rjmghqU9FmdPY6Op44Q8bcKBMfjMUY3SJNTFwP6/SF720OkMGRpROlJQOerJMkiiGxNL42ZHB9y4fIVFl/9OvNVRdRJ2Nvb5Y+++zLywgXwQLwL0HAymcYa8iLn+GjM8WTKRz/6cf7aX/0bzBdL/v/s/emzLEl63gf+3D22XM9291t7dVU1Gt3VaKC7sZNogRBIAI0WqSFAUMIYII1mZDZmmpHmH5DNJ30ajSijFhuZxDHJbCgb2ZgoAiRFrAJAoMFeAfRW+3rXs+Yeiy/zwd0jI88599a9XQV0F1FelTfzZMbiEeHh4f4+7/M8L774oje5Z53EMejlLFcrDo+OuXhhj37hpcHSIOOpomSZNcGnzJ/jfr9PJnOc89fTs0lNK6EV200cC00nEx555BG+8Y1vcPv2ba5evdp64uR5ThLGVnXwyBmPRjSNRte6bZupSjDBlyYytiLo1+/323FPTPpoGazWtuO0+WyOc5Y8L3A0aAtJkpOlCmkbfv7nf46vfvWrnMxWJEmGQzBfrdgaeqC50povfukr/LW/9pNkSqKbEiUkUq6ZsHHstVx61nIeEiayLPNSbVqzWq1af5SYHJNlWZvAE0GlD8oH5WGLo413+r+/01GTb7f8edb7nED4g0+zQxA8BVFoxoMV14fHXB8cs5sv6MmGBIuMmdminQGFoMo6KBqr0q1S97d7VZ37LPdgp82d2e87lQdd7rww1Xl/nwZFTgdpT68jEa1fm0D4wK+DXdWwyBasrOR40OPWaoyqBwinoFE4c49g3GmA5LxgVowHCddKXbkAWDgFJA6RWERiUdIhEu8DISUgbTumjDdjew6dD7RZF9jATmARWNGBO+LJUZEd0gU4zgda4rR343jP+EaccyXbiJNrA4btD6eAEHFqB5sY/mbo+Lu367lXSz4vmHfv0gZJH6KI9p8uMNFliPhruGGi3nmXeLaI6IIdEYCNoEfHbF0SpLRakMR2tkn7vu4T3ul4zusJuqjj2ZN25tuIyT3gOTu/3AvUWpd32r4PaIf3bps/tdS6t/zuAki+G8p5V739W5zuH85f734trtsmXXx4bsyXz14F36u+Q2sW+PBkGwcIfa8T/nXP9Tp9b+yjTzf/74YGcm6/HMqD3jSn+v4HOp4HuqAP0Wd2GtPGWhuDiPap+UDlfQ2MHBwcMBoNyfOcW7duUdc1169fbzMlp8FEOGbuRkmqPM9b4CICIqvVqmVuqJBxrJRaa3InnmFSFAVFUbSgxWAwwBhLURRemiiwHGKgJX4XJ7hRAksI0WbrCyHY2dnBOcfJyUnri1GWJU899dTGus5589euR0isjzeOr5nNZgyHQxaLRQvuxAxfL0lRo5QHSobDYQd08YHz5XLJ/sEht27dRkrFqm7Q1mEcninSNJS1odGGxoA2gNjMc4rZjZuGt+uHiw9kBcpZN4s6vLoa4DGYcDqzJW5zvX3XAiKRLbKW0ABno3ZqHM3GzSkQJmRhB0NjIf1SbdZ7BEBsp4OLv8VX5+EYQRGxlvpqs7ydwxofeEV6zf661iyXJUpKisRy8+ZN/uiPPs+FSxcxDm7evMFyuWzb6XC4xfHkhIPDI8Y9RSK8F8N0PuPu3bsopVgsFhRFQZ7nSCk5OjraCK7UdcV0OiWa2i8WCx+AUQlJkmKcpmq8xM5wPGI6nfOtF14CAf3hkMOTmrK2WJHT39rBCkXlHJVJ0NbylT97icOjY57/yDNcvrjNYqV5/PFHfaAry9e+DMS2EplFnYx1QQuMWKdpmhVSeGkzbDD3lQLrKp750KN86gc+we//wR8xn2suXrrE7Vs32Luwyw9++of5zd/8LX7pl36Ruq65fXsfYyxPP/00J0eH9HspiVQkUlDkKUom6LrENhUXdrZ55JGrDHs9qlWJdI68yOkPhpimYTlbMDs5JhWCx69d5+rFXQ/SlrCYTnjx5ZfJsoJ+nuBsyTNPPcrWzjZf/7OvsVyckMiETEkuX9jib/+tz/Krv/JLTI7mTGZTPvax55lOp+z90CdZLOZYa3jmp3+Sy9ev88bLr3HlyjUaY5jPJgjp+NKXv8RqVWKt4Ud/+FO89vpbfOlLX+Ho4C5f+dJXuHL1UZ5+4klq7b1Rbt96g7JcUjpDmqT0RmOMbrxPhhCI4JmzNR6RKM98sMYwHPapqhF1XbFYLLl9+zbT6ZTrV68yHo3AWYQClSicdZhgIF70ijbj27PBfH/25S9/mWvXrvPmG2+xXC4Zj8d4mcIeUiru3r1DUaRcv34NKSXLhQegowfUalWuxyItC8O/11WFqRuslKR5zvaFHVaLOVVdBikrL63nLH5CakOfIwJoG2UCCJJW65lLnMWuOyUhIACtCFogW6mk7a/bfmKDweAn8z6QH0EX78HQGk1LUHT6wSABGL0aHB1zbOnrOp8vgiSR9/mIfku9QY+s6NHoqpXRssZQh+viRPBIwgPE8Tl1WqIoMvXiOYiZ73Vdrzv89nh9/azzjJwkK0iD0bfVGq2X9HtDqromSwrSNKEuS6Q0OFf5fYQ+XkoPiGvtTbqlPxmdfvreI7QoQ7bZZ9M+r1Zl6UHo8IBIA8vAS8YJ0jTDaA/aJ0nCZDplcjLjh370R7hw6SK9XuFBCLuuS5p6r6I7d24zGO8xHC8pK0PVGNIkoZdJqrpiNp+TpwLpNE2RYXEYC05YrABTGaTxvmVplrOcz0iVQDgLVpMqgUp8a93d3eXo+BBhIVG+HrP5nCtBysxa145VnHNcunSJyWRC09QI/NhH25RlueLw8Ij5ckm/v02W5zhjWuN6cORp2iZqRJlSoUQr7QkOY2UADu0akEi8b5oAhhcu8NRTT/HFL36Rz372s0EqdP0sjyBHZDOuVmWQxXTtM6w7hvD3Uleqc50k0DQ11sZzoMgy7y0jhfPeMnFwLggJH57R+MilC3zk2Wf4/T/6l/TzgmVdMxwPaBqNSlJ0o3nrxi3+8I8+z8//zE9z88aEfp6SpEmnz7No3VAUBXXTcHJyQlEU7Xiza77elSCNbJg4jvugfFC+rdIGcz8I3Ny3vJuTkzhsAWJgGPUWXOsdcy0/ZjtZkommA4r450ycv6/nNmc5qQ9anfVyZ4GVByub9els6iH2ff6vMXz1MPU5G4Zcfy9OLRfD7QpJIrwM6lDBNiW7qWQ7X9LvleT9Gtuk2FKeuQ/aqd15Fex+37mPWjZINEJPHGQWmRtEbklTQ5Zq0sSQKIOS60C0EHY9RApBVuf8OElbSWMVjVXhs8RYgXVettqvdKqywp1TddFJRux8e27QPoyP8ICPa5HUc5Y8L+J5GvwQp5Z/PxVx9n66Z8MV53105/183/21b+00obONdowb3wPYIdf+IchOn9ICIt04of/bf287Mluesx0ZbJvSfq59v++BhOvvTjUKEb49u/J5Zyr+8m4ay4N7ojxIn3XvEPt6C90l3l3d34tyumf8ztbnvo8RAcKdbjPr9e5V8y5ouEaKNwFme+6VCPNaXJuWfebKbqDPYe6PIALWcS9rsGQNzXSZImcO5PT7eQf87ZQHwSpPL/deDP6+3W28VwPP7k3pNr9e7+shQJtQ3tfAyGA4YDgcthmfMZi+s7PD4eEh29vbzGYzAKqQaRgzBSNAYa1tGSXggyYxAB0ZHJ55UbJarRiNRq3ElgdFTJtRO5/P2yy/+XzeghXgJ7i9Xq81ZBdCMJ/P2/okScLJyUnLIHHOMRqNmEwmXmqi3299T2LWYwRYYvB/MpmQZRlZ5o1Yo5RYWZatJJjPPExbne5+v48QgpOTQ4qiR9M09Ho9Xn7lVeqmxiGp6wZtHFo7Gq2pK+39RbRBW0EQpPIBCXzWTgxGdAMV61YcM5BpA25x2chu2cz0XQc0fAayBRFMYN06MBKDLfEVv/cJpA7jnJd0kcoHfl0nUBmzYQKS7OcrkYViwBl8mCVIcOAQzhG9SfwR2PAwDv+FY45BTWtF6EFtCBLSth1jLGXpjeMT2SDQlLXm8PgIKyRHxyeU5dIzO1SCSxNOTo55++0bfPqTH2V+coguV56BEoCPCHxVlZcBe/zxxzk5OWG1WrFaLbE2D+wd2UqSLBYLit6A1aqk1hapvHfJSy+9wpe+/GX6gyHXHrnOdLpgOBwjsoxaKxa14Xi2om4MeR9Ggz621rz+5l10rfm+5z/M1cuXGW5fAGdAijZj3gfLfBuKCp6E8+nbRQBMsGSJArxHjRMOh7//rGm4sLfNT/zVH+UrX/kyB4cnHOzf4emnn+Ef/c//iM9+9rP8V//F3+eFF17g2Wc/xGw2Zzgc8kM//Gm+9qd/QqoEs8mEuipxxmKNJh33GOQpu7s7SClYziry3LNaqqXh1luvcHRyTJHl9AcDmtKwXCzZv3uXREnqVHBw9xZXL+6xWK6oyzlOCJq6Js8V41GP6ckBly9dIlGSw8MjrK64sHudcX/IcNLjlZdeYDgcIITg4oUd7t69w423XufOzbfJs4K336y4sLeH1SvSXPFzP/NTnEynWG25dfsuzz//Mf7aT36GL335TznYP+HNt2/z+htvceHSVYaDAT/6Yz/KYn7MN7/xDXq9HrPplF6v34JUifK+JIvphKLIscQhp0SqnEG/YG93h6bxkmaLxRyB8+CIkggjERKcDgCAjfe5D5gK4eV1BIpXXn6Vuq6Rcs0WKcuS27dvsbW15X09nGM4HIIT1LUHiJfLFYI1q6E1Y8ZLJO3s7XHlyhVuvH2T2WzK3taYI2cpVzNQtOwSP8NdP1StY433hu2eP7A7PbgPXiPCsx2scYhUtX2kY21ibfH7t2FlIVQAa0BJCcLLc7XgSKxHZJG0/Su4th7e5yFmng+HQ04mJzRGo1TaPvNUmqzXCUiukNK/I4jATAzMbu5vLQ0U+9quibk/Tjb6cYQHb7zfiJffil4K4D1jlvMpxljSviDPMqrGgG1w1vtUJFIinKXRjd+OEOuEvJbRszmR7Jb4W2S5yPDsTZKUPEvb50hjau8rgwwyWgrTGJSQPiGgKXnsiScY9Ic0xrI12uZ3fut3KPoFTz71JHleMJ/PcPgEisuXL7N/4J/vuqk5mRwzHO1iLTSNoZemQapQ+z7GgZACgmG5th68E0qRqBxTZ7jlAmcNeZrS1MeILGdra4tB3wfq9/b2uHP3Nv28wJiaWteMRiN2dnfAWVZLz1p94YUXWa5WLaCVZR4k7xUZZSlIBj1OJhOWy5K6bsiyBA8RQbUqSZWiXxThOWY8Q1BYL6+oG4xJ2kB/mqakWd7uy8ujGZRUNLM5Tz31NK+88ir7+wc88sgjzOdzgLZ/2WD5aE00X4/JL3GM47+r2wQViH5Ezvud4FmtXn5TtneuDeNIa/yUSUpJ4xqUTDFNzaA34qd/6q/xta9/g5P5gqTXxwkwOKrGkKc5q2rFb/3O/8aP/PCnuXDxEovZCdoYEuHlTb1PiwUpSLKEfsc3JN7nkbETjeoj8y4e22m5uw/KB+Whync+VvIXV7qB2bNfnf3xXZQ2lpI6RM+SDmr6vZKdbM5OsqAva5INDf916GUzCLuu5+n4ygPW4tz1H2RdH1B9h2DWQ26zW+6FN3R/PxOEFGeXO709ERcIX0gEiRDkwtEXDSNVMkxLBkVF0aupl5JGOQ9m2PWW2lvjvBiw6NRBQPT9cK3fB5BZRG6RuSbtaZJck2eaItVkiSaVhkR6WaNuhj7EObFnhxgnqa2i1oraJFRGIXVCYyTGSozxMo44sTHmeZASg73toWywoU+HsdctoV3DiVPrdSL664U2T9yZGpwu71W07Nst79xO71XFjSDtfX9/57IJhKyDeqLTR3RZIlLQkeNzLbsqGqx32SKiwx6JEloK//IAiW+LazBlExw5r486fX48sLiWRxKx/t3gcVy4u2Jb3Prt22oSD3Ad38X27l3W9836r+9Uq/7O7fle5cHO4n2f0KeWi5yQ4M3ZDYzH7sh1r0psj+0Td13C+u7U913QYw1++BVaWS23KVYWcwHXLeHUtXivQZF3KucBNP+qlO7xdEH+8wZSD1He18CI15j2bI8YtDk+PibP8zarLgaIgXZiHeWkImsDaEGMKN0QM1+dc8HcvGyz/QAGg0Hr5RCz/ZIkaQM9eZ63TJG4v6qq2mzALMsoiqIFdPb399vgE9BuL/o6TKfTVj4hLhO3GUET7x/gfSMigGLMWns9Tq619vuJPipaa8bjMVkIWCwWC27evMlqWYJKsEiMdTTaUjcNlfYyWk1jaJwPdsUeKNKZfUzHa9KLToYxsG7Ap0CRLjACm0G1GPC0dj2I9MwLG/w6zJlsy/V6ttVWj5I3DoNzBhECdT44ahFu3YF6docHRdZZOI7Iq3OEgYuT4ThCFxxE7qxdd5JxABPXkSrQqT1U402FG4tzDdKVCAyLqmJZrrBCMJ8vKMvKMxTKkl7m2/HB4QEkXnIlTRNGwxF106CDPvl0Om3P6d27d0kShTG6Bexie9DaZ7b3guRIozVZVmCd46233uLFF18izXIGQcJkOpszW05JehdQ6RAah0wSb1xdW4xZkkuJ1Y5X33ibR65d4Qe+/+Pra+Oi3BGeWt5KE533aAxgkjWYul4HC5sG41yQsUsol3Mee+Qazz7zNNPJVzk+PGJ+aQ5476Dv/4FP8tU/+RMeffRRjo6OKVcLPvF9z3Pl8iW++IV/yfHhPj/6wz/EaNjn6OCQPEtQUlGuVljjg8ST6dxLRaUJvTxjb+8ySQCjFssVo+EwZOpPOTq8y5UrVzDWUlVeLs86R5ZnnJyccGFvjzfefJP5fMbe7i51XXLtyhWmkxPKsiZVOWmiWMznbG+P0U3F1rjP1miIEIIbN29SnxyTJpIsU0gcL37rmyil2N3bpVckSAlXnniMclnya6/8r4yGfT7+/EdxKG7duk25KlguVzgn2du7wM2bd3B4tlSSppRVRa/XI00l1vrgY5IkGKup6gqj1xJ2EUyp67rtG7tAZ1M3GGvQoT/a29vj8PCQsiw5Pj7GWhsC+eOW/SalDN4CNU1Te9BPSO/9Iw1KQi8vqBvtJY9iGwqBet+XerA5stTeeP11in4R5H2a9l72437/Xwzi+/u5O1FZbz8CFd0+uUuLE1J6b5JgOB/bdpul4mfBHhwRMdC7zuwTwvdNtsM6E9L3LcbELMNYv7MDYaN1CLw3rALrMVaz0dqDI5na8FzwwL45w6aIAPw7MTG65x3n/Xi6zBFPGpFgDU21YoVnPA4GI65du45uNHmes5h7Dw813sU0Fc42FHnmGY2rFXVVsVgsmEwnXrIsAuSd+rYeNKfa59qDZG1yLcQ6Oz8+R6Ty93+aJJ4x4JyXIcMxHG9z5ep1Hn/8Cfb3D/jBH/wRsizh//sP/yG//Tu/4xlWSYJjDRZluZfiTDNN0R+RZQnDrM/u7jYXd0csJoeAZ1M6q1GSlnkC/hknHEgZ5cJ8kL/Xy1FKeBP2NCfPMnTTsL29TV3VDIqC6K+xs7ODNZam8lJ2WZYxmUyZL+ZEOac09fdev5fTNB4COZlOOTw6ZDQquJCPKXoFWZKSqgRdV0wmE/I8QwpBlmbkRU7d1NRNQ2O0BymFDM8aTV03rZl6nmUIISnLiu3tHZ584knefvsGV69cQ6mEqipbudEIplprUUmCkusxWRwz+Qbg8FJ0ZuO+bdksYs1+iskpSnkpPWtsSAoxCOHPsUr8GEHXKz72kQ/z/Pd+L7/3+S+AMzjr+wznBE4mpHnB62+8yW/9zu/yq7/8SywXMwTOm7ULf19qo0mkfx5EhrK/9muQcc02Uy0QEseIHwAjH5QPygOUc0CR+Pm8oPd7EjQQIDODGjTkw4qiqMmVJhPGS2iFkUWXG3r2qfrtVqYLtnw3lE7ISGy8tV9uBkv9p67+QGdGds7W/W8R2vaJJg4bgr/gM4NTLDmaQmp6SUORNrg0pUksVvrnP5Z3VD3qgiJOuNYvJIIiLrOovkb1NVnR0M9renlNpgypMiTSkEjXgiIxUz+O5eJxWicxTvrlCMoKYn0247/WxGDe+Ve8O1wTMUIdI4DxepxiJJwPU3VPeGdmFuP2Is5773fmTnuQnL/Md6acCqbfqxrnVfEdQJHz2/09yjmgSNs2Iihx6prKwCDpymaJ9j2uG4CQAMgpYbyj34b/iAvACK3HCBDuI94ZFOkcrpdq3Fyv+929PCXefXlwpsiDFPGQx74Ow6+ZJvHbv7zl/kf/MG2jXRbCvD32Z+fso710PqLhQh/lWsjiPnNZwrOEe/WtZ+sX437t7wLP3goJl+cfTOfzuykPA7b8qwiOwNljOt0RPMQ5Puvz9j4qVVmuda6TpAU5IlvDWstsNmtlCCITI2qlL5dLkiRhMBgAtOtHc9qo+VxV3jujK9UQ2RjWWqbTSStbFOWuYmZfzGaMwEsMQiVJwnA4ZG9vrwU/uhmC0Ti7q8ftZb5UyLT0wZvRaOQzroVoZcSWyyWLxYI7d+60RvARBOr1eiTJZoZifMVlp9Mp8/nCyz/UGt3oNlheBwNcExkY1mKsRYeAZ3wZY9BGe+Di1H6ss9hTQbTu+3kZ0V1GSPQOaZqGuqlpdN3KqpwnRRE16I3VWGdwTmOtDt83WKtx4XucxtkGZ2qcbcAZhDDtgKNrUqZkyLLAZ2YIZ2k1nrA4Y0KWe8yz97RphCVJJEo5LBpta7StqZsVq2rOcrViNlsymUw5Ojri5OSY+XxKVS5p6opECuYzn0m7u7fL5OSIvJeT5Rmz2YJy5aU/qqpiNpuRpl4mpCiKtg1HKTgv76Faia0m3CfL0Kam0ykvvvQiy6pEpQnGWO7c2SfNcra3t3BOM5keM50eg3CkeY5KU4RMcEKR5j2Msbz2+hvM50uwHgTxCerCmzkLh8VgXQz4eVAtMn2cM1jTePN25z1IsAKVpqR5hnCW6ckRd2/dYNAv+KFPf5rxaEyiFK+98hqXL1/lW9/6Fs99+DmWZcmLL73Endt3EEJydHTCl7/8VX7jN36Dfq+Pbmpu3XyLcuVN2mfzGdpZZos5B8fHVI1mMNri+iOPsb17wWvQpznGQW8wwEnYPzrCWLhy9RG0cdSNoT8YIoRiMByjksw/RIVie3ub5XLV9gGN1kQWUVHkDAYDVqtlAHs1aZqgTY1UcPXqFZJUcufOLSaTY6rlkou7uwx7BZOjY/pFTr1a0FQrrl65wPPPf4S6mrNazRj0M5566nHGozF7Fy7xzLPPsbN7gcefeIJev89kNmMynbJYLjg5PmY6mbSMDaO9MbYU3kekqkvKcoXWDVVVsVwu274rtj0hBCpRiJYh4IN8k8mE6WTSet8458jzvPVuKoqC4XBImga5P20YhGUFfh4hgw+G8GhGaDvrPmQ6nfL666+3HgeD8YimrlAyBEzjoMydb9Z9r9IFcs9bNkrnWbMG2eP4zQ+4HEY4rPCAR2RO+VfMSHHtvtasu9MvAhPHh1k2WHS6YbVa+aB3SBhwdIzr7Zrx4etMpx6bfXQXxD59HrrH3Na1MwsWMkoThv7QWaxuWM2nHB/c5faNN7jx5qusZseU82NMOWM1PcSupqBXpMqR5wnOapp6RZpIdne22R6P237WM2tc5xyycS5OA1wx4NwdD3g2ZtkGpX1f6cEK68CFa14UfQ9WVxVl3XDj9i3KRvPTP/uz9PsDptMZCIGzjuViiTGWQb/PcrnAOUOaev+eS5cu0O8VbG2Ng7Smbf1PnHO+T8R5ZkzHKD7Lc4qiR5ooekUejt2QJIrBoM/JyQnj8RghoyQaLSv19TfeYL5YtCzWC3t7KKXo9/vkeU7T1K3UaAQVq6pmGjzcTAjm13WNsf5ZXtc1uqmxRq8zpUSYIioBQU4uy3LS1HsLeakxSZrm5FmBbgxGW65cucbB/iE3btxswbgIYqQdya44DuiWroxmHEtFFkk8B3Eb3c9tGw/34WYihgfVpLM43ZBKwd/413+KIk/D+MCPaZxMKGuDNl6C8Dd+4zd58cWX2NraRiqFVIpev49KEw+aAsaaVn4sjnEi+yXWuct+jcf2QfmgfNtFdN6/WyM24j16hdINaJ/57n77fYjiwvpOQJIaiqKm36sosoZMaRJh1vJJ9w1n37N2D1Te3eV9LxvEmn3is9o3gaBTo4iN1+kRjnVnXya8r5fz/9nw7hUCLBYXZmSepS8F3u8jGphHQ/QggeI6VXGnXhvfSzzjOAGbgM0c5BZVaLJ+Q79f0e9VDPOKflZ7QEYZMqVJlSaTpmWPJNKQhvekfY+f198rab1sUvCQENLXOUqynTc2fBC2QpvAJ2DtV8H6vfOdXz60345kTJfdcP59tF5nc3+bbeY7WTbrc/Zcnrt8u+zmNtZJkTxgf7UO154PioRrTZDNavfV9Q3xf/s4BSFu0QFN8C/ViWUoYT1jJIK2LaMt7rN7nA94Hjl1/J3viMfyAOVhW8N9HgHfdnnYYz+959Mt6F536rt5welWerbG927Ff97lvGfdZk3ObxudPoz1fXb6um6e6dPb3jwj3ftKtM/hzTYa9+K67+Hh7hkiZ/e2ETdot89GQ3Tn+Vw8bCO93zjnYRr/A/VH75PXecfE6Qtyn3NxTnlfM0bipLabURcNyiMbIgaCi6JoJ55VVQF+4hlBhcgy8Qbpa+P0OPH2chqilXYAmM1mAWhIW3ZInKxnWdZOzCMgoLXP1B+Px6RpysHBQetxsjbc9UGRmCE5n8/bgMV8Pm99SaJvRGSexIBUBH+i54kHbqYUQerCgzoZs9mUXq9Hv99vA2fgpUVWVclyufIZ4ycLrJBYJwMQ0VA32stoGYN2rT8RPjDpZWIQBikkxoFw0stOhaCSD4pLLBYpwDofLLfOj3TXj+/wCtmTNmj3exN3WjYM0HoVOEt7vuN6xgRQhZiNaYOReVjXuFP3kw8A+/r6O0oQdfxdOwj3cjHrztUJh3BB1zzkWfhxq/89inD5DRqsM+hYNxeG9RpM4wNOQ1dgnEUKgdZes184gUoTytWSJx59gmeffQaEptY+YFJVPgt3kPbJ8pwssJ8cMF8s6Pd7pHnmA7baYaxFOoeJ2bt5jjY2tOuEt958i5OTCVs7u2jjJcDG4y2yvGBZWVa1xprKB+uylNpajPP3jnSWLMkQ/T6HBwe8/PIrfP/3fwxna89JEOvAr3+4hDPrvBSRZ+NYnDPe96IxYIPIj3AkvRwlHPsHt3n7xi12dvZo6ooPf/hZnn32Gf7kT7/FfLbg9Vdf48mnnmI6nfLJH/gkX/nqV9jZ/XEGwyGz6Zzf/Z3f47Of/Xme/+j3MDneJ88z8izl+PiY+eKYJE0ZDUf0RA/nBDJRLMsVutEY55jMp6hEcjw7YmtrRDHIKfIexjoOD49BSAbDIaPxNmVdI1VKmhUsqxqVZCSZ5mQyRSUpMk0YDEbeE0cItne2OTo5BikQzhumKyUpyxVCKHZ3dlitSrI04+6tuxRFwRNPPO4ZLtaSpSmz2Qm7e5f41Kc+QV70+IM//JfcuvUWeTFgtLWNcR7cmczmPP7Ekzz++OO89dZb7N+9w4svvkhV18znc45OjhkMBkGerURKQSIUKvodIZDKX7uqrkmqikGSYEK/K6TChfae5zmPPPIIr7zyCru7u0gpOT4+Dv2lYTjcaYHg6XTKk08+xZtvvMYjjzzCW2+91QFKRctAaQHUcP/Hey1NUrLMszeSNGG18gBwNIpvGSOhJZ5ROxVnpQrawH/8LYIA3VlevO+tbftzKUJvEfbp4j0gBEolgbkVg6IusE0kxnrQiCCptDYZd7SG76F/NVqDkP58O6hWK0QAcJLEw7hSBvNpZ3DGbbArujI+3eNNAnOi6y/S3W+UJLMBpKDDFnF2DQ47YzEEqTMRsvaxTI7uUk6PEMD29hYJgnpRIVNFUYwQWAaDPkWe+MC+ARcCyy04dQq8Oe3rEusH/nxHhoEJAP5gMGAym7VgvpQ2BKLj9lwYbyRUVYPWlu2dXcqy5vjkBOngwt5F3gqgSZIosiTjzu07pHmBc5DlOeOR9+yxziCEv+7+mWU9K8h0BtbOBdlAL78UwZq6qZEYRoM+RZ7T4JMd+v0Bk+nrPNvvkeUZKM/cc84xnc1wznFxb7dlCj766GMcT04AWs8R78PRMBj0qeoGB5ycnDBfzBmXfbbHYxaB0UVI8shS5QGqDrADgckhU5RYs5M8M8Wzba3x9wfAZDLh8vXrPPXUU9y8eZPLly8hBC0oEFlk0bfHaNNe2y6oIIQ/P77Nunas4D2LNhmpsU1ENlqU+wtzIfI8RViQzrNynNR89Hu/hx/85A/wT3/nd9i5co2yKkEJ73+FJs973L5zh3/yT/8Z/+d//99jJUQYh2gQ4RmynLM13kIKL10WgeHIEjkNTMbf0jTF2A88Rj4o76L44X7bxt8pU/47Vd7TanUDCKeCG/db/GG2HxkEqTIMsppRXtFLa1JpWjmbbnHfzn7+gsq7qdt7kSndDTyJzuf4fQRaghVayxrxT0oPj1grKJ1k6RRLl7KyGZVVNNbPaV2Yh7TBqweocwuQRAkt6XCpf4nMkubaAyEBEIt+Il1PCBG2IzobjePAKM1i3ToIJ8I53ZBgawPh4szQ83TZBDTaoeuZ9tjNkOf0uDZ+1/nJn7RYb7/9GEQ8teF3vtna38+7Cn8BHdTGLu+xvzPn+PS84AFXu+c2XLtw2111+q0uUNUyjqLRekcmKyZhyu73UTYrSmgJ22EkxQTPblt7x4p/UN6hrGeSZ/v9+8HiD1rOe56cB0F4LYX3Yo8PWi/uyQJppzVt9Eecu178rZXLapc6x4+kHcPEvsO1P5y+k9suLSwpRZjHnlrOOYkLfk7OydAfR3AkPjBO18OtB1MRCGkPWATF/qAAca8urbtJd4/vPyjrct4tdh4Y8hDn733NGIkZlJFFsVqtKIqCCxcuhCBQ0r4PBgN2dnbY2dlpgyhbW1utDFY0q47MjPF4jFKK4+PjFjjoShvUdd3xLPHbi1nSMdM5MjsiQBIlurysi23ZHVEHu/seGSZRXsYHaSTz+ZwkSVo2y2QyCRmsRWuePRwOmc1mbZBgNBrR7/db7xNjPNMkBgzyPCfPM29AKgXTyTQco8YJL7tS1jW11jR1Q1V5qZxGax/0tGvwwdh1wM66yBIxG+wUnzDczfD1Gd7+ZTBGBwZIg9YNTVNTlqvWOL6qKqqyolyVVKWX2airirqq0K35a9VKcDRNhdYNzjZYW2FNDa4meodEuSwRpDOI7BFMyO7SiJBz5MEJ2m5aAN48L2p7uhZgUTGbHBEypRw+oKmpqiXL1ZyynFE3S4ypsabBmhohBVVZsZjPmc+mWF0jncU2JeVyyp1bb/GJ7/sIv/IrfxetSxpdteausJbOiW3RhodTmqaUZYUUCiEkw+EIISWrVdm2vUXI9jcO7u7vc/fgkN3dXbIsJ89zZrMZKkrKOYe1DYNBwdZ4SKoU5WLJfDr3xrgIjHXkRY/GWL785a94urpUPtgXmTSCYJ4cfQq8cb0UBCuW6O/gM5WTvCDJMoTWzE8mzKdTlJTcvHEDjGHU6/FTn/kMCsegyHj5xRc4mRyxKpc89vjj1E3Dn37ta1SN4Stf/RoXL13lR37krwCK1aqkMQ2HR3fRZsX29pC9vS16vZx+v89g0McYzXK1xOemGba2R62Rd5albG/vkKU55ar2jJFa02jHfLFEKUW1qr1Wf5pRNw1F0ePGzVvkeYE2msl0QllVWGNYLpeUq5XX8k+Tth/o9fq+70k80Lg13uKJp55iOBzyrRe+iRCO7a0xvV6P1XJFogTb4yGf/tTH+eW/+ws896EnqFZz5rMJRhsuXrqIEPCbv/Vb/Nqv/zqvv/E6H3rmGX7pl36Jf/uXf5kf/yt/hV7PexBdu3aVp59+mjTN2wFFlKMzxvcZZVVxfHzs2XaAVClJkpKlWZv9fXh4yGw2Y7i1xfHkhLKuQElOZlPSIqc3HNAfDjg+PqIsV3zq059iMpm0oLUHwy1rxb0ALrYBRXAWVquVB3GSBOdsGyyt6hpnXSQwBJaGXD8//c0N+CxyvwsH4RqI+HeHUSGlNxgXMnqe+GeD1gYbAOE4cLKxrr67aBl4PpM+9KHGZ6N3gQg6gIIQm9KDSim/f7EGP4jbN8bLhxlN9E+Khu+x7kptyk/Fz3F7oj0fncGs2NxGGxR3zt/IcSSKZz5EgMjqBmsaUiUp0oQEi2lqrK6plgusqQLFH5qyZLmcM5/NvCRlo33A3NmWbXXe4LYrq7gGNyxGe8+oNEk8o8doXEig8P3oOgBA6HeyzEvTycShTe2zNYHt7R2uX38UKVI/BglJFkL4c143DdZZFosZ169dIVGK1XIZfDNWrYdLW0dHy3Ik+KmI0KaM9Qw0oRT9wYiqbkjS1HtW4J9NvaLg5OSENMmQwYNDhidQnmUY3VCGpJEkSRiNR1y8eJGiKNrEC9PxAIkJG3XdYKzvxxaLVWDcKrJEkaQKbQ1VAOhNeOZr7RmncawR5URj4H+xWFAHOdDBYEBZlpi6bv1Fokecf/b7RI+y9H5vOFrZ0MjgjfdAZKpVVdWuu06w8PdvN4Ei/qaNxtjG30MA2iFRHgQ3GmtrlssZ1jV87nM/izMN9XLJoO+fCwZLpTWLVUWSFfzGb/0uL738Kr3BkDIwkXR4TmdZRr8/8PdFGMPFRJrIDIljzK63SBwXflA+KO+qdDH8TnD4u+JFZ577Hm6TB9lmPCfcY917lc42EuUoEi/blCvTZmGfCaR29+VO//rnWdx9XpxbEXGvH87ddli+cy2/nVfk3xtAh3d7znLGgXagcTRA5RwrZ1k4x8xITkzBkR4w0T0WdU7VpDQmehvyQG2kyxppWSQBHEEBiUOkliS1ZKkJ8llRrsiujdbbTbpTZ31difXwaw2GtL8KzgTgz2NhnGVjnL5GPmgXF9n0k6AFTrrZ1e1n0f0c6nk6G/v0/u9zH7VD7Xcq9zjG9+S1cW66Feu83qFe5/503+Na72t9Lrv764BgYVtrdkhgd5wCPyI4EtlpEQBp22E0WQ/yWS1jJF5vOj4l73DY7305v398f5bO/dzpPd8rUOT+2z37YFuzIP5injPn3dPd9tQ9O+et1/2tu45/7x6N/zvegy3AJ04vG0vn7436uTOfYs9rAjDi2YreA6oFrs8Fgt05l8CdfwLO62POW+a8vznn+79sr/POQfe7b6O8rxkji8XCG9Tig8F+0piHCfeSPM/o9fpB2mUVjMYJQEAEKZo26COlIk1FCLRYRsMxV69cw2EZj0cslwuM8XIxvV6/1cE3xniz0l6/leSIRutN7Q1vV6ulNw3Ga/AvgpTFzs4OR0eH7cN5tVpy5coVohH2aDQMWtxR6suxNR5hdWAZJAnWGHaCXn9/OGQwGDCfz1mtfPAiy3OWszm7e3to5UEbrTXSSTKV8chjj7JYzLhz9y5ZmnqAAkeiMhCSsqzRTlI3hqoxVE2Dtd5wNA5KveFvkNexHjUVAnwM3I/4Y4aJcBKcQztQQoALGt1BBkWK+DkOiR1YgdXBFNfiJWBMlMhqvP8EDmEdjTVYY0IGswjyLbqVFIkDUhnN0mM2MTb4EFiExNOwrSZVgrqpSFSOEAkW317A+ozfwCrxwTBFolKkVFhtkDJmKDtSpbxXS8sQgSxNqZo6yAEJpExoyhWpTHB1Sq/fR1rNbDZhPjvh8Uev8dd/8l/jp37yr4Kr2D+5w9Z4wGJVI5MM7RxOCrSzqMAwkAjyPEOJhAYf8FJZSlNrit4AY+Ytw8kYw2i0RZIVHE9usVgu2dnbY7WquXnzFhcvX2I8HvPW229z9+CEpBjRH+7hTEKlLcPhCG0U2kLVWGQqsQ5WjeaVV1/jtTfe4oknrmOsQajo6CBpTEOiUrT0BvQ+eCz8tXAGhUMkKTLPw/WUHN65y/HxETs7OzgnyFSGsAZb13z6+5/npz7zI/xP/9P/j/54hxe++TWG4wEqU3zik5/gH/2jf8yP/dhf5Xiy4G/83L9Jmo1J05rpbImpT9jdybl6+RLWZCwXFcvlijR1CKno93rMFnN0VbO3s8Pdu7eZTCY8ev1R8sL7I+xu7VIrzWNb27z55ptkSUIvz6nqiiJLqXRFvXKMB74fuZvnXLhyBdN4ebNekbJYnIAVXLq4w2I2IU8ltqnJ8xEA2jZsbY8RAiazOYPBkO29bYa7fV59+SVu3L7Jh57+MFmWcXJ8zGDUJ08czz31GLujn+XVV27yz3/rt9i/e4u7N99Em5r//S//Ardu3+b2nX2++qdf4e7dfX7wk5/m4x//ONeuXEElgm984xs02rBYeOmhyWTC9t5OYCQNWCx9ezo6OqGuNY8/8mjItJcYaz2QrAQvvfIyo60tev0+B4dHpEWBkAmJEtzd3+ett9/mwoULDMYjdi9c4LXXX+e1117j05/+NEI6jG3CQAgcGmM12rh1ENmE4L+A5XJBv9/HOeeDqtbhrMQ65dsT6z4sBval7JiOI5AkHgxzFmFF8ApxtK04ZJm7tu2qwJQAoRRV2QAWlXomnDaeFiCU8n2gsAglcc6gLT5rRliQnnnmm30I2LrNDD2VZEipqOuK6KuU595HaFVXgQVSo1SKShQID9w6COBK0gFlRBt81dYgnPAeKBGcDP1lDNZGECCWlrkRQZF4dqVCSeElFpuGLPdJDGmaYrShqUvqukKqhEaHc5Mrf62MRVYNS7NEN56ZmfX6VGXdmqd7Qo0LIJ1rA+Dt/vEBB+/TIUlV4qX9lH8SCCko+n2WpU+EKHp9BIpyVdEbDFBCsirnWFsjVU5RqDBRTWkqwXLR+KD+Y9d5+dUXkUqSFwVSCsbbY/b3D3DOMBiOEDIAXVbQaM1yvqAJrCKECEEXb1KfywRnIc1SpBAkOLJEMOj32d4dcXJygspSqtKSCCiyHOUkTsPWYIfFYooUEoXwiQPOkuc5B0cHOOETGObTGeVq5f18mhqXWH9u8CwshOL45ITpfEmv12e+XDEo+qSpotYVHjySIBKMc1RN44NVxoLQSBpSmbTJJf1+nyxJQ2KIptHek6g/KJASBlsj+v2C2XxKr+/ZroPBgKZpWp8RqQQOw2pVtgBhZOsaYxFOUGS9FtgBME24n90aAEySBCG9nJq2TWjDEikSEpVQlw2JShgO+iyWS0Azn5/wPc89w7/9C3+H/+K/+m/4yPd9P2XlvUga6xAqwznJYjnjD/7FH/P0U3+XLCvQjb8/cRZjLJPplHK5CnJfggiSCEFgsTSt5GS8rZrG+y19UD4o77r4Jgd0wwIflFjauHnnPJ1ZRqyXdQKEBCkNSZBNUsKsdfrP2b5fPeTFOjaZBGdqAuf9+uBlM9B0Xjkdmzm7/DtrtHd39+20q5ghvA5QrevRlXRy+Ge6A2wYf3n5SYF2gsrBocm4owfcarY5KIdMyh6LVY6tPQM27siF/rVrO366VhtgWXxJQDqEsv4VfRzCe9IGrNd+Ievs7Y5kUXug632vwYlNxsk6YE4AJM6ymuMZi/s5r/gpeRd0uUfI1oET66xzJ87bn1ifIxev3ilfkfai3qs+Zz1nztT32yrfRit8h509SPztLChyHuLo7rGtNejU/a1tdtKdah+0wIiXXFuDIR78sCQdL5Fum1yDdusEz3dT7ts/nLvp04Hre6/+Tnv97ivxvljfE+vv3215uO2ex2B5L2rxsOV0jTct69cfIwvEbawT/FsEyDaxsNtzRJbJPY7NPYCQW2CHeM+qCNKvARFr/e8m/u3WfZwIdfMTzfhgcfHhEjYfYqIbd/spsCYcsPiOXKH3UTlvbBbPf/fzQ/Rp72tgpK5qmqJZZ8riwZKqqhiPx1RVxWpVtjJaZVn64FyYnPsMPM8mOTw8RGvNhQsXUEpx+/ZtcKLNsD08PCTLfKbxaDRkMBhxeHjYsk2iaWmUa4jBtbhv5xyz2YyiKMiyLJgMD1mtlhRFQVVVPntzNGI2m3F0dMRwOKTf77O1tcVsNuPw8LDNqlTCs0f29/e5evVq66tyfHzMzZs3uXTpEqPRaG2ALASzYOAewZwkSSjLkhe++S3SLA0BPQKLpKCsliiZIpTGNaaTxSLx7Al8kBDpAzluTY6LWc5GROkVMMb3Hk5qpAKZRE18iMa4XlpkPehyHX1t7wtiwQRRqla2xTNWrNPgBNY2Z7THRTRXF+tpiO+K4gDTj95alDkOSARo05C0evQKZ7wsRpaqUBf/uFFKeIko5zCNz4o1uiFVCicddV3hrPOZxg6kUhitfdBTa6xxKCnJZEKWOKxdcevtA6q65LkPPcVn/8bf5JM/8HFGwwJnSpSCvd0trNGMRyO0BfopB3f32dq6hKkNLvgqAGR5hrYmyL45tnd2mE6mOLwPjkoSHnnkESbzFVVTc3hwhHGOsvJA3tb2NkVR8PLLL+Mc7O3tkfZGHBwtWVWSaSnIijG9wQjrHEkCZbMgcZos77GaLHjjjbd58qnHUSojmnlHg2JYZ1OBw1mNsD5nTEkJaQLCB1aP9u+i64qLFy8yn0ypVyX9/hCnNc4YlrMTPvNXfpT/9Z/+ExpTUVaK27fuYqzl8See4if+tZ/kP/3P/h7/8X/8f+foZM58WVHrhqqBq5evszVW7B8cUK0aLl64iiqll1MRgrqq2RqNmUyOee3Vl0mCX4CpNY1TpDLHGBdAm10GgwFZ5iWi6rL0GcAOssx3v5Ht9tqLL3Hp6mXyIqNartjd2uH4+IgsSXCp5uBgn4sXL1LXNVnmg8mrcsV4e4u337zF1atXmS0OkdLyse/7GG++cYOXXnmBK5evcXy8T9G7wqDfY7k4olckPP/8szz19KN848Vv8cabr3Pj9i2+/IU/5PEnnuCJR69QN4YPPfk4y/mSP/z932f3wg7/+k/9JJ/8ge/n1Vff4LU33mQ2m/HFL37RM9GsoTENWZHhrOXjH/8oSZIym/h+r6l8vRtjsUDRK5BJQqMbFquVl5epSg94ZynXLl9hMplw7do1bty6yVe++EX29napqoosy3zGvS5x4d6zVkAAMlyIUCilcKxleCKDz4MYsvW4iaOolgkmRAuK4OKPfr1IUTmdheIcweDtnEHeeikvCRh9iJxAWIEQScAS1oCKMRqHRUVZPilYK4R58BghwvdB8smYkNXYYXXEvrllaeEHdXZtRn7aS6T72bog6dX25bLzuTtBNm2/zDnaDlZrautQmaI3HJIlacsgyNKUrfE2ZbWiaWqyIvfSgFrTS1PKsuTWrTtsb22zs7NDVVde4jGw4iJ7xhCBaFrJpVZmy+ggTQbOGsqybJezWLZHW/SGfcqmJi16tEw151gtlkglqKoF2tT0+zlKQlPVYKCf90mkoq7hd3/3N+j3e4y3tmi0Zy/G6+clySRKiMAGkFRVw1a/oE4kKvEssMSqdsxiNOjg7aXrmqZa4XSDMSvu3Hydpqk5mS65fPUx6sYxGgzJswwlJOPhiPnshOF4RF0taeqaxx5/lGuPXufGzZs89thjlGXJyckJvV6P+WzWBubjWCHNU4y2LFcl08mCCzu7WOtBqMlkQiJ8XyYCxU83DU4bXPuc9v1m9HpzzlFVVetBlGZpe83yPGe18okl27s7nJyc8MQTT7QSqdEzpN/3CS9te8MDepF9E9kgxth2DBTHYV3J0rgcBNk1pGfhIdHaIaxFOmgqw8zNcEKQZinGaaaTY/723/qb/NNf/2ecHBxAntNoS5pmaKPR2rF38TL/y6//M37sR3+UJx67ynLqZcmcNSRJ6vs6sa6bZ764tj7nMbHiMXxQPijfTolh1bZ3/mDevVnOxo5Ox6vvvV54CUEnS9vdd93z5vT32vx7Efpbj7HvX86wKdzD16ETwj/z/XnL3m87XRwieosIAqMkoFMy1FE7RekUc5txuxnyZrXDW6td7iy3mC76VMsU2UiEjczesJ8WJ7lPbQTn+o7EZEAh1jJGqguKtDJHdMCI08HvtXzWGvxwHcUBwjh1sz6C7sW611m9N9jQBWliQF7E8+G61zF+F0WkRbv8OjDow5KuBUfimPIBqngvYOa9LO/BDk4DFuf/3i3unN/Prn8mw/6U70jLFJFdhgickcySa7msRESAzvh36b2OFJ49IoVpATfZufbvtpwb7D5nqe7nLiByv/D++6+chgK+E9vt9mzhvuXBnz/vpkQ5rG4/dxYcYeOb2P9A7G+6a4Ul2j87xxWyC2I/GybAnaPr9L3nztE7rw47xL9kYI90pLVclNbq7IIIjnTq0N7zorMvx31vE3GfZ9E545S/jMVf59MdZ/f94U/Q+xoY6fWLVvojy/zkN5pJ+yC4D0Z4aSYTMgpda6buMxBrDg5W5HneenVorT2AkSfoxoCgzegbDEZE2aw09YGduq5brxCglXGIPiCz2Yy1RrvfftRkz3MfACqDkbwHc1Y+C3t7mzzP26BANIeXQjIejynLkscff5w8z9nf32dvb6+VBvMyHV5y4tq1ax1GTbYhJxGDYnVdI5OgT4/XXDcd3e3IuHDWe144IbxvCACiZYl1UTo/OFoHpoRwAbwI/GNvQEKrt3c6A8U5rNVtfaNUitU+YOhclOKygQ3iZbzWfiRx0OmzsOVG6ooLRuz+77WAzjqo5qvgEBbyXkFde7ktpVJSleCsIUsSDF6WhTD4s8YgbNTd9wwZiSMVCSQCh2VVVvSSHG00WNF2+tI5lvMjpk3JU08+zqd/4NM8/fSTfOyjH6HIUwSGxXxOkSeslivyLCPt9en3eizKkuVqxfZ4hAJk6qVXrDNYo5kenngJosSzUk5OtA8cJYosS1mtPDPCGkuWZ9y+c8ebvAtJVvTo9XqcnJx4aa08p2oct/dP2N+f4ijojS9jEMznC28GLzPyoocuG5TKSIs+t27fxVoXksllCLyudeKlUFjnTaMlDpWmoL0fi7SO5WLCdDqlqUtECBD1ejlbWyNu3LjNhQsXAQ9kXrl8kX/33/0V/sv/1z8AKXj7rZscHB5Tlob/3d/+BV575Q3+wT/4B/ziL/4ir7z2BpcvbvF93/9pBCU333qF3Z3rJHuG6WRC0e8zHu1xfDxHV4ZG1Bzu77O3t8XFSxd4+eWXGVy4SF1ZylXJaDTi0UcfoSxLnDNUlQdE8jzv9B1N64V0/fqjXvZlVfnAmoOq0TSNYTjs0e8P2N/fRwjFoEgRSpImGc5AWVYURcHh0QFZ5pWX57MlFy9e8MDE/ITDo7ts7wxIUodUhPtuyXCY8JM/8aNU9aeompI7d+5y89ZNDg4OWSwr3njzbVLl2N4e8vxHP0K/12M6nXF4dMBqteIjH/kIzzzzDCjPJPnmC9/EGM2qXDKdHQewdsLu7i47W9usll6ukJA1ruqG4+MTdF2Tpp6BF8Hj5XJJv9+nrEq+/md/hpKK/f39AHyPODw8oNfrU5Yl1nQAThy0fYJ/GdNQltGA24YBUQBLQ38FPti7YTLuYjTAa1YjAlhu1+BsXHY9gAkDrhYodqiwRynwbDhBMK/3HjqegRay7q1DO896E6F/jCwMFYAKG6kPECQItV9GrSW/4jOPCF5Yi0UH0IRQP84MyCILJB5JPKb1+Q39ohDt8yP2t12AZaMIgUpT7y/SNDRhXYkiTxJ6/T6D4ZCkilJrtM/Numko8pyLFy4wmUzRznsgLU5OWC6XLUCeJAqJ8L4pbn3eWgBns0JEz4YkSagbH6hfLpboqqZf9NroSyIVpmnASoSD7dFWYJw6hsMBeZaQZzlG1zhjKYOk53K5IAljAS/3lKGU5OT4GMjYMwbdaLbGY0ajIcvZAdPplBs3GqpyTpL4egdLLdI097JjvZw86SEYoKuZB4TcLeazGVlvyychNE07btDRD0xrsjxjOp3wxhtvtGMBrTWLxRKtDaPRMCR2+DZQlqXva9IEHKzKEq0ds+mCbGuANY5eLwuSYQZLYERahxKylV9rGg02sovWgX7fziwkqpWO0kHG69KlS7z26qusVqvWC80zGkdeylSl1HVDvz8geqJEj7foLdcFPmKb9tJ2uv19g1Ukgz1w6EecFCiV4rSgMZ7V4mXc/P198eIen/v5n+O//u/+ey499gS1dVhtSJVCFYqyrCiXS/7lF7/I449+liTLkBLKcoXWvv/PkjRIfjZtPSJ4E8c+bR8T7q0sy87eYx+UD8qDlE6g+4Nyn/KggYfu8zMMOZwjhh15r0K95wEMD1Kl07/4Kr7zxRen3rujm3dasxtIv1c5Hxy5dzZvDCm5AB7EfWgn0ai13AmSpc040T0O9ZBb5RZvLXa4tdhiMu+znBWIlYJGxOneOlwlHiDM2AVDTtfd0UFL4uIdOawNQGQt+dI96u5mLR1j7XZHcXwagoUujDjPjONol9uofme57rFuJgXGeoW20oIhMTgZgKH2OpzuUMKabt161soM5yz63VzOBQrcxu8bi98HFDn727rdnV5nfR064Ej4W4p1e9oA31izRJL4kmtwJDJHVCuj5VoAL7JFzq3OQ5TT98/p3P0Y7hHnzhPuv+8H8S767m1Of141e5jtru/H031t5+58b2t6Ctzogjni1GIRHFlHFkNtW1xh3Qe57oqsf1+DI345G+bt4BmZVngAPUq3d0sEQxxikyFCYJDY6DNCByyJz7t1nSMoIoQLnsun6ya6p+HMuTpTqQc4v39ZS2wz3da08TQS4Zw/xHl6XwMjSvpAf5zkxmzB8XjcGrBrrVtQIGba7ezstNmQMfPYGNtmMcZAhpQSbaowMa1CNq8/u3H7MQAT/TuqqmrXjUGHOEmPwEY0D/fa97LdXpIkrSH6zs4O4Njfv4v3G8kZDj1bBOGYzWfkedZmSz7++GNMphNWq5I0Sdsbvt/vM5vNWsPTyGKJzJrZbMZoNAoTcVAqod8f4IwNYNDKB2gajUOH8x47gWBUGjnIojteDIQ2tzbojZnEAcLwchdic0DXdlQBBHHOtsGO6ElB0F+P3zl8Jvc6cGBB2BDMhNb2PLJQXARTwqh4YzAc6motMQ1GygRjvBeBZ4FYZOp18gESKVBSeD1367BSIPBskEwJtC4xtcaF6+ywoA3lwpvZp0nCYDiiV/S4dHGPRx65wDMfeoznP/q99IoCIWE5X4CtMNYHXQRe6gcnaGrNrJn7oC4wGnvWUZ7luJB17JyjCSyWRHgz9yJPKfo9lBAYHQMw6+CLShTaaHq9Hr3egGVgOTWNRghJ3Th6/SHXr4+ZLjQaiVAJzng9eoGj31OoJMMZS5L1OD6ZsViUDAYqZBgLcBIPFzn/8HSQphlWNzhjvZcQgmVZcXJyhI0Zs9YGWZEmBNQzZrMpda3J84STyQk/9IOf4vNf/Ap/+C+/ASJDigSj4Y8//wX+T//+v89/8p/8J/zmb/8mf+1f+wxalzz1+KNsb13m6Wd2eP3Vb4Kd09QVdtHQNN5cV5ua6d0Zjz32GGkqODo62mjrdTAr39vbaTPiL166xGI+RwjBzs4Ok8mkzfpdrTww2+v1uHNwwGhriyzzfUU01o66+Tdu3ODpp5+mqr1vzmg8pqorRqM+R0eHXLp0kTRLPDixLBkMBoxGI7a2x7zx+htcvXaVwWBImgbjcWs43L+FlIJev+Cxaxd49MpeePBL5ouS3/yt32U42gYpqZuK6WzC8fExb7/1Fi986wWsszzz4WcZjQb88A//IHt7u9y4cYPbt27xyssvo5KEO3dvkqaCLPVgjnG0WdzzechSl74Pv3DhAuPRyPcVzvLKyy8DjiSRfPRjn+D69eu88frrwR/CIPCeDFJAolRow9rf4863kQisxvvfdj6L4BfSXUaIYBKnRABoY18hQn/h7xX//3om6QdnNvQngamAaLcnhcRY7fs36QFlDxSFvhAPFLbgtQBDCPQSvUtCPV1oH6xNzluPKms369w53liEFF5iKQRhN7xZQr181y42gsdxX13QIfae7XdStjJisYOPvkQoFQag3kdrMBoyHAxag2yECB5JjiSV6MYHyi9cvEh/MGD/8JCqqlgsvE+HkJIkUW1fHp/1p58p8Zt4PJFJJ4T3FukVPW7evElV1wyyjKY2WO08WAskKsFYEVh+kkQmLBcLLl/M6RU5165d5g//8DVOTk7Y2dttPbf6/X7rWzKdThEybcEcKQV17e8pbTXDQZ+dnS2c7ZNl3gNEipRo+i6c89KCwoGrUVxnMpnQ7w9YVRajNUpJT2oSlqLnJdHKatWOCw8ODxnvbLfjJBXAi+vXr3uZKlz7bG20IdUGrS1CSGbTOc7GZ7IjUQkISd2UmNhf2TgHEG1z8fevZ/ZUVdWOkzwI51CJaoGNNE1pmobxaOQlvw4OuHz5cguaLIMPlpJJ2648O8S0fUoMwnSZFd3PaxZqlNuL7VfhTDesF+5kKXHOy80ZaxFCYZ3h+PiAn/7pn+K3f/9fcPtwQt4fYgjPU+kQCvL+gN/9vd/nJ378R9jbGTOfnZAkMkygBP1+H/CsoAgyRrZaBHe7jJHo5/ZB+aB8UO5THmQi/CDg0EMGHuLYSVv/Mp2M0tMxkPNem5V6GPTqYZZ954PyPV800/72Qmb3Azna7XW2v3ZiEZ3l4nNkrRZv8brvGkltFaVLqF1CYxW1VUxNj8N6xH494vZyzO3ZFkeLAXqZYlcKUaluJWgPzXU+36uI9XsM8oZKtdnDXeP0lklCfG2CHTEw7ue7PmvfBZawCvMi2QE3utXuxtY2RzmbQfjNgPzZYOA64Ow69XEb60YgZHMLaxGbeK3sRohwExxpR8udbX03lPMAi3uX+wMd5y7X/nO/70/VR5xeblNSTQrWwAaBISK9hFuCZ4ikwpC0L7dmj2BRGA+S0DFsf5jTsFm7c/9at013dhlx5puH3tt7FxP+LmqMfyHl7Jk7x9L8XZRu2+0gF64LlJ1q3+2am7+tfxcbDLZ1f9JBFwRxJ+20N+jbEEEJEUAJn9i9DqjH/ss/v2kZIRsASPzOrv1GIpiyeez+Hl13/BGcObXYg5zwv+TAxzuW9pnUFVGjO6B66PK+Bka6kgIxuy5KpSRJ0so2DAaD1jBdSsl0OqXf7xMN0KP3hFKK4XBIXdctg0MISNOE2WzaythE9kY0Zc+yjKqqkNJnhEfmR8xmjdrYESTpatc75+UoxuMx1trWLDRJJL1ej2gW3DQVaarCzW79jR2MqYteTln5DMQkWWela60ZDoc+UzQASF3GynA4pCiKsP2asioRrNk3wvmAHE2NF5cI8iROoIIFXiLiYDAGxbr3vw9s+o7Etc956yxrDVLCALMLWriODEcwdTe69eoQLvqH2LaDNKcCYa2sV7c/cmvt+W4QNBoidwNnvn+NWdGKpjZkWY5AhgwLMM4gjENFDwDTYLQ/NiElwlqyIqefJ+S9AWmW4Zxla9sHvouiYDwas7W9xZUrVxkNR1y9comiB009Y9jvMV/M0aUmSxXWWBLhmUa9vI/VBt34NlobTa/fQ5ua+XzmQS4pUFnaysYMh4PQ9jS9XkHRK5jP5xR5wWq5YjKZkeVeBi6yEIqiR6/oY6zl+PgYkDz55JNY57h7eMDJ0pCkA4TKccab9lqrQHoQqKktqfKeI84q7h5NePnVN/nE9z2LwwNcQvggkTMNxhkSJdFaYxtDKsEIwXwy4/jkhKzISBMf1JfCm/KmSrFcLlks5kiZeEk7a3BOcHJyxL/7q7/KwdF/zQsvvYHWjjdff4teb8jLL73C/+U//L/y9/7e/5PhaMCnP/UpJrMFw/6IDz/7HLuXHuXwToNMJUnqM9EXixnSwdWrlxA4Ziczau39UZq6wTkYDHosFnPqumQ+n9Pr91uwNEkSVqtVK8E3mUwCyy1ha3sbcXDIbLZgNBhycnLCYrGgKHLqumY08iyJ2WzSDgCUFGSJN+dVieDg4IDHH3+C2WpOlvVBeJPx3d0rzGeaW7eOuXqth3MLdra3MFXtNbAFrGZHCHx/V1UNiISd8Q6f+5m/we/9iz+iNx5hreXFl15CaxPauaBclLz66qs0TcWqWvH4449x8eJFnv/4x3jm2Q+xWq148803qevaA4EybyeFMUhaFH2s9aDSnVu3GBY9jDOcnBxTVyVWN3zko9/LE088zosvvsCF3T0StTajl55owYbpo6AN4sZ+Ib7HPr9ls7GWlFr3I2b90HVrs2M/7ImDn82QRuzQfNDTT21FGJCBwRnvwSCExbV0XIcI/kRSCowLXkfW4mTwbLJtmKLTz3pfE5GkG4A+zqHvkWl+uo+M8k7r7+Lv4cWaGQIB2BX+CKOEZdxWZEy2z+K4kU6/6oIOhrVQNQ1JVbGdJNRas1gsyLPM93khwF8tK0bDIRd298jzHkW/j7aW/f39dba/iJ5PvkRmZpfV4/08fMTedb8LQOZ4PGJne5uXX30FozXOWC/jGM67jECZA2t8okIv7zHqD9nd3uYn/uon+NYLb/HlL33RP2sbjWdMOpJkLd00m80YDrc86NA07blyznmAvN8jTRKqql5LfhKloRzCec8lKxy4BoegKHqA95BJ0yyMERzGaLIspdY1fZl7YE1IegGEKoqCyWTCYDjgmWeeYTgchnFShWgaFsslaa1JM02aGbI84/jkhPmyZGs8DoCUDOOoJJzb0J6s8c9C4UiUpNGauqpbo/QI/CVJ4r1CwlhOa02e5+3nLMs4Pj7m6tWrbXLJYrEA1nKddV2324ps3fa5zho48WM9P56In+P3XZaYtR5oVSrBWkPT1K3HB0CeZWjjpUFXyzmXL1/jb37u5/jP/v5/Q54XCAQqSb0fmpAIoTg4PuFffP6P+ezP/DR5UeCsJVEWZyxVVeMc7f1jzPpe8/KhQT88SJwZYzwD54PyQfl2Sgx0svnU+leqrOPt91vkz2O34MA4SW0SSpPSWIVz6/BLDEBGpkAMlm+++2Xlqe3fz//iz+N43k240J16P/1bN2M5nhWDB5UsXr/dOIlBop1qmSHaKWqXtIDIwuQsdcYivJY6Z17nzKuCedljXuYsy4KmTHGNBH36rNIG6s8Euk8BJ67zuXMgwRFeeC/MThANWJtax8z/MN89DYq011AQwBE2pI3OcGm6wyvxIO3ZnTm+TSBkPW4WG8t2QpUiymTF8SHnyG112dPrHcYEidPff3eWd275DwqK+IXf6fv17y1TpLt8ZAxtyLVF1kjwE5GORFpSaci6L2FIpQkSWt7zRgnTgiTRZ+SeVbrvUcaWcXatB93Ow/QxLs6B4D57ftiybrVnynd7M33PynsDDMV+qtuvb1ylOBV+oP1tnvwunHKW63J6e3GuDDjR9qeOcN+6OEt36+dwqNf6Sdx5Trk1c8S2AH1kLp7TSGI/Kn1H6Vzn4dHtAv+y4XF/HqVzHs/4tMTPDwmSvK+BEaCVHxCdp1ScYHYn2WVZYq1tQYi4nmdzgBBrn5KmaVqZqcg46fV6bTbuarUC1kG1mJGfJJ5tUdc1de0BDq//3gsBfk2SKJ/dLGXLOPEeBBmLhZeZKYqC7e0tVqtlO+GPbI/VaoU1hjRJWhmuuq45Pj72++8NMMYHjKLcVvQ56WZWRvAknp+qigwPAmulR6Ot1w5fVT4IASgl28BSzAzxlN4uKOI6jdC2nUJcT+KDS1J6KRmIbXvtJ0KbuRxADGKgy0A0SO8E9LxpOqfaQgyExj9tJyAWZbRE+067mMVI2ZoM+7oqcA5janpFjrUNwjXgDP18wM7OFlvjLba2thiPRmRZzt7eNkUvo8hzssxnJ0ul2N3dxhpHfzAgUYr5fI6QEikUUpQsZ0ucrZgbH0iytSaRyhvZBgCqqSus0SQqRSnFsjHM53OkEmRpQrkqWc6X7O7uBh+dIc458jz3DCltWMwXKOmBup3dXdIsRyYKDBhtfKBMKuq6oawqnBNsb21xfHTMfLGkbBz93pgkG3D3cI6VBSrNPZiYZaSJIkkFztZoK0hUyny55BvfeoGPfPhJslxhLSRK0iJYljYYmeYZ9XLJdHJCtSo9UAU0dUWWpgjnuHnzBqlSrJZL0ixFWAM4huMtjo8nJElKv0j51V/5t/h//Kd/n8l0xfHREW+/dYOi32MwGvErv/Kr/Gf/+d+j6A147JHH+Ma3XuPWnRmPXt9jOdE8cu0SaWK5e/sNlNDs7WxjbMlqXrK9vcudO/v08iGJSinNkiRTGCvZ3t7COX9djg4PWvkTKSW7u7sslyuUqqnrOXnu0NowHm9x69Ytdj7yYbIiJa+L1otACMFoNOD2nVtcvHiJfq9ANzUWR6Lg2vVLfP3PXuTJJ1IGgy3qpkYlEqX6LBeWIr9AL0+pVwUHx/ssF4adUcGgSLG2wlhv/my1ppdlLMsaTMNkMicvMgb9Pi+99jrT2ZzFwsv0IXx/oaTCJSmqabh96w7T6YxVWbG9s41QKR/56PNY43jpWy+xWqy8Tr+xlKsKpWL/BsliGfw/LIv5jNVySV2ueP7553nmmQ/xpS99yXsnZSmDwcB7mwTGoAt9m7EWE/yIYgD2NDjQveM3WBSdPkW49eAIESWqBL7LkmGivCagi7gtoWLPg0cCFI4G4xy1dj4rXXoJPUECgsAIgERKUClaNOiwPWfBiAjMRCBDeuNsHOP+kMisyzKfha+N8QH+mCXfds5xOy48hwSQdvrFeE4g4td+3h8ZdH6EIYVACUkiFU5YhHQI5du3FhprDM4YTHClW7NIvA+KUAopFVVVc2d/3wNTQmD7fY5PTlBJggCMbnjs0cd4/uMfpyx9f/ihD32IP/zDP+TVl1+lPxq1gLnrPGMig1QG5ooLwPxaxgmUEJ515Bxp6lmd05OJb8vOeTZNJrHGD7i0MUiVBhP5hDTLkCrhqaef4tnnrvLGm3e5cePtEKyvEEqSpCm9oiBLU2bTCcPhGPCyXyqRHgzKM7JEYRMV6uFtbJSQyPYp5q9ZHLZLKcB50O1b33oBiyJRARioNNYZlJLtNfbP+IosS6irugW1RqMRd+/cbccWi8WCfr+HFF4CVCWKrMjCmCKhrDS37+xz+cIedaMZ9AYo6b0xqroJUnSR0efvnl5RkEjJYj5vwQ5YS1tlMlmPKaylrut2bDMajbh58yaz+dw/i61FKoU1DiF8RoJUCpX49mSc9dR150gC+NGVd4tePPH7LmMkJkEYE9mssr1PvOyjREjVjkvA+3bd3b/JX/3xH+N/+73P85U/+xpbO7s0TYMVglpbZLiZvvCVr/KpT/0AF7ZHVJX3lquryj//Q7uMYF4EkCKo2+2fYrv+oHxQ3lX5bp+Yv5dBqe623PrtvsHNhzw3USEDB8ZKKp1Q6oTGKGxnvh7NjiVrz4k26Mk6uBSr1p3N+M2fDgd+e0HNBzyq+/56Nhx1/venGSDWgcFrtWu3Zn9op2icQiNprP/cOEVtPSOksorGpZQ2obQppfFgyFznLBoPiCzqjLLKqOuUpkowtVwDIiGSL+5X4e590Tl81/37DIAiWsaItQJjZSvtFac2fozTueZiM8AX2wBO+GA3EuGCRJK066SfdwAXzoQTz4vbnZbX6qy4/twN0rszLW4tpeVYa+3j5+4hwaBdPpyDbmb1w7E0/iJLdz7wgKuI869G97yuA/Dc45qc/dxtbpEl0vYdwWskSmIlAezIpCFTmkzoAI749zT8npwDijy82bqvWfSauVdnKc75dF65N+B7r60+3BrvvMV73Cfv0fa/+8u7HwycfU7dYxlx7z0J1m3KndMp+2e2aHd0eql1Jxbn726zYojOPeWCnPX5z1o6zD8besAuQ8RFycTTgAdxuh0SJ1s5rTjw6N7o9zgRH5QHK/d8FLoOGPLw7fp9DYxY52WC8jxvJ9sxCBYNeqNkVpxw7u3tMRgMmE6nRHPTXq8XAgd1yxbJ87yVbjDGkGUZh4eHAG22d2SoRENQz8QIN7BzDAb94IFQYEPW/mg0AvCZmoMB/X6/ldvxZuw+m/zo6Ij9/btcvXq11daOUhQR6PEBU79sBFqA1uS9qipgnQkdsyMjwyXPc46OjtplIrNlNBx65kmRMZkvfITMGiSOJGzLhOBDeDyCCNIyBE37Tm9hTTfzOnR8zksktcBIaMCnzVAjK6TtC51/kHvGyGZQ02+nYzoMG0ER2s/ddXxAbUN+pQ2SeJ5M03iASOuGXpFRljOmJ0c88/QT/Mqv/DJ7u9tkWeoBgSQNMkWaJBPgDEnqGQ1luaKX5xi7IpUCqy1aQ5o46rLGCkGRFxQJODKOjo7Y2tqiqSsSmWC1z2L1meEJy6V3NxHCXzttG4qeN7tO0xwpE5rGt8/lchnOrQ9km8DI6QUZj6qqSJKUJE05Wc4RUiGkRFvLfD7HIRgMPOimlGI8GjOUOdOV4e7dA6aLmqQApSUiTUlJA6glPEDS69GUS4RImUwWHB2ecOXqRaSIciiGRCY4GaiR1jCfzTi8e8d7+/T7IZO8YTwes3/3LgSPnkGvIM8z337rhqbR1HVFkirSVLFazblyaYuf/+xP8Q//x/+Zqml4843Xkcpn8w7GPZ566ml++3d+l5/7uc/RH2/xxo3bvPHGDaaHd3jy8Us8+ugWW+Ocy5cuoDDcuXmb7dEF6qphtSwpegViJJDKAQapoNcrODy0XLx4gdFoxGQyZbFYsrW1FTLHx2RZznQ6ZTQaAz7jf3t7zGLpQa5eP2c4HqJrL6N2+cpl3njjDZSSJErRGE2vX7BcTRllIy5cuMCffe2bPPfcR4CEw4MTL4k1KxH0mU4MR0cnpFlGXQmWqmI5PebSpW229vaYTk9wDrI0QcqM6WzKW2+/jUxSLIIXXnqZYjDkrbdvAx5EHg6HPuN/vkQlCdZAlvZJk4LZdEVZ1kwmJalK2d7ZQ9d3EEJSrhacTCZIqSiKgjwvwAl6vZxVuaIsK2YnE5557hk++rGP8Uf/4g8YjUZ85jOf4fbNWy0Dp2pqT481gUkn4iTMhqBmBDhNe29vPEcDi6DrKwReOskGANi5To/mALGWbiJOBtuJYGCgxY5LKCwaAVjrwVEhFE4ohEz94Cx4dCipEImglsoLFwZgITIGIEoChT7dWcZbY+qmpC5XlOUKo63vY4XYkBXqSl7FIHtkNaz7ygjGrKcdsd/osmti39/9nMTMe+c8kCu8qXk8TdaG85+mXsrM+D58uVwhhAdIq6ry0pfWMyryNCXL8iC7BFmW45zj+eefZ3//kDI8553zYIF//m4+o+NFkuGeEUKgpKRX9FpZPs/O9P5jSkovOyiTILVpqHWDM4asyLzPVpphHKyqilu3b/EHf/B1fu/3fxdrLHmWUeumfe5WVcWlS5ewxpAohQqMFmcMSeYTHAb9HqZeAHbDc8mDU2t2iyCCVR6cWlU1h8cnDIZjlPL3jdYN3pvLy8n5BAQTkhocvX6fa9euESVAEVAUBUdHR9y+fZvxeEy/3w/90ig8H2oWiyVFnnN0eETdNFSVoKpSskyRSN8XOARCxaSSxo+dEoNMfPvJsqz1QIvH1DQNKlEhoaRux1VKKS4/8givv/02+/v7PPnkk9y9ezcwPBQq3MtVSFTx0p/e10Q3NVrrFliI93ZsF7G9R7ZOTIZRKm3bfUyg8ACrXyZxnvlXlhVZ0fNJM0WOFPDzP/PXee3V11FS4gUzw5grTZEy4c23b/CNb73Aj//Qp0PATJImKeVi7iXMOuyh2Ha6IEj87fQY54PyQXmoEjvuTiD/u641nVOhbztsc3pbnajNfQP76xjLAxUX/3GgjaTUCasmpTYK2w3YiBhoPgWMsA56nxd/j9Veh4jufYh/EeWdTstpuCYGmLST1ChqpyhtysplrGx8ecCjMimVTahMQmUT6vZd0Zjue0KtE2qTUjeJf2mF0QrbSKyWOAPCBoCiTdLzZ3Lj/HYuvrvfCe0ErTfOQWSMWIG2kibKqLWrBY5MzPRfn5lT9ViDIy6OXYNXhBLWG2/byBhYP6sehMGwEXwP/7TH4TYD8m073Qj6rxG+ljnCOlDoPTUDC1pKz748A6mwTlZ8qJb7IDfivbb38L3Hwzxiz5yfjR/O++7B9xXbSQy2RhaRDObqKrBEUmnIlfYv2ZAJzxhJAyiSdWS1VOtJ4t8fpnRZAJ4t9M4iTPe7Kvc6d5s94XrP77TNd1O+656D78PyIBDL/c5zbFOnr/2ZrcfJ0L0gsm6mAiKAJf4nS7ifXMv9QJzT/jaYIZ0xg6XT70HbD67rFfrj4G0hhMVJSVTgfueHzAflgcrGgO3U998mKALvc2CkLCu2Lo1ZLpdeEqgoyPOcsizbCXBkVEQ9ca1rjo9LqqpppRf6/T7OOebzOauVbmVv4npC+KDwxYsXuXvXZ1d2Jbsi2BABizZT1bl2faUUq9WKO3fucOnSJXq9njc2FYLDw0OGwyFCCIbDIQBNU7G3t0dklPjv1sGWoijY2tpiMBi0cjxN0yAT1TJE8jzn8PCwZbzked4CMb1er91enufs7e1ydHzIcr5k78IlHn30Ub781T9hZ3ebxXJFr8hpzJJEgHEC3dRIGWXIOhIlftTZCbbFAKVHcNuuQAic0Z5tEgJ8IZrZbsv3Yg42QJAgkUUMYsYuaq11v963l6HxLz8IiPIrp6U0fJWC8So+gKnxUmFCCBbzKU898RivvPICx0d3efyRa/zyv/WL/OCnPsHR4SGLxZQkUfR6kroqqcsluIQ0VVTLFRd2thFiTFVWa5CkSJFCMp3NGPaHNE3N9qjPYrHEOsewN2R24j1gjDYhw7pq2Uyz2Yy9vQvUzQpXw9bWGGu8HnyWJczmU4rCsLNToJIMjAEhqWqNs15Xv1rVZIUPKGnnAbuiGNAfDFkul6yWS7KsYHf3ItPplCzPiHIjEWxL05S9nSHLyj8M+v0+ZV0hSCmyDBeyx6VS1AaWq5qyqn0WshIhYB2ahXUghb9Xbt0iTxOyNOXtt9+mrmv6g4LXX3uN6XTC7s4Ojz/2GC7IrB0eHrYyLcY6EBKtK7Kiz3Ryk+//xHPcvPkpfuO3/ghhJS+88CJZUTBbzpCJZLy1w6/9k3/Cv/m3foH+qM/0eMHepSf5+jdfZFEu+Zm//oPU9gRdLRjtjBBOsCpXOAnj7TFZmoDMyLKUJCna4FW8Z32QVbf6+qvVKshIFf7vsqTXz1HZFqbR9Ps9VkZjjWYw7DGfzzk5mfDYY48wm88ZjEdUcy/jlRc96sbw+BNPM/uzF3n99bdx+KBslhb0emNmc8OqDP1EZahry5OPP0e5OOTFl1/lsUeuceHiNsvFkul8Tm+wzds377CqNNsXrvCVP/sGs2WFto7ZYolAkGc9mtpgtKGX91msVgyGQ/Z2LnnZKG0Y9Lep6wZnJTKAf43W1LW/blmW8fhjT3B8fMyFi7scHhwwn82ZHB/yzHPP8W987nP883/+z1FZws/87M/w1ptv8eLLL1H0ClZV5dl+UtBo096/xrk2OOzvbeEzzWOGOB0AJHiVdJklkZVhdAPCG4cb6z1LZJJ4H4K6pk3vtxZk4vvC2I9Z/+6EgUT65YSksc4DnKjA+Eqo6xJYewlIIcMI0ZuyG72etRoTpbgcSq0ZizLxQKi1DqkSDzwEOS6VeBlGE3wMkBIdJNyk9Nv050m1/iQqGLlbt5Ybar1XxFqW0AduZTgV3rsjGn/HIG8XjPKTfX+fCyXb891EyTMcNviCWWv5+je+zmI558qVazz26GPkRU7V1IzGY1YhUG6D/5MIXiObngwmjJNECNQnXNjdJUlU6/MV5ZWiZ4kKPijWx68Zjn0fbJwlS1K0dRwdn7Baaf7lF/6YL3/lq/zpn3wFqSBJlB/zSsF8MefTn/4Uzvr73re9YDoeBuXOWY6PD9neGlDkOVW5IlUSa/yzTygZnncxmumfgEmScPPmLaqq5urVMdNZCdKfMykkUooAeKsAVFh0bdjZ2QY82+6Rq1c5OjxguVxw+fIlLl265Pv91YoLFy+CFNS1Js1zEJAmGYeHx+zvH5JdvcRiuSJNhz4gImS4jjacf4WznmFbhYSRfr+/lmNTEqSgMZqqqUmThCzPPdspeLNkSvHs00/z9a9/gyeffJqdnT2Oj49CH5uEcwqrVUnTGNI09SzYJCVNEgj+Kdb654+XWfMgmtYGpPEgjfA0eWMticoQYTyhjUUqzw6rdYMTkiQRJEmK1Zo0UQinsQae/+j38JEPP8uffOObyKIgUQnaOKqyIetnLMuSP/rjL/D8x76XxPp7TVvPoIn9UpIkG0y3PM9bcK1rHv+Bx8gH5V2XTszg2wYdvtvLQ8Ye3qvzYIzA1gmrOqXWCcZ6CEQgfDBGeJ6pBDaMtR+wfCdDKu4en88LiEWGgAPPAnGKyikWNmNpc2amYGp6TEzPsz5MwcJkrHTKymQeGDEJlfZgiNaSxgTgQwuMkTijcEZAeAkjOpGrLrAl1ia+sVYxOCViwsv6p3c6x677YT1VxVrPdtFWtlr0Mbm4C4ZF+aI2INc5gTLUR0nrp9fCkApLKiyNsFgh0aFFbXhRvGPD2ARI7o//dGSbuMfyIgYIw7jNCUSQE/OZQn5s7MTac8VtBDPfG/dXM8cAAQAASURBVMDCbVyMh1v3offf/nPv/a2XcRtfnt39OwBabXDVtddBCN92opl6IuwaFJHxZciEbgGTTOgWGIlgSGSd3O847lUiOOJj0xtW2N2FHnjLp09BhC27AHDsSf68wZG/iOIevtm/N+XcNni2nO7X3305L3J9fol4h8BttCFx3jpivUAXOmk/dX6P25Wdrie6OflXp7Yt4LsJiGwcRQtsnHXnieIKQjic7HSSGwf43p/lv3Tl7EXf/FF0f3vwm+59DYz0g7zVcDhsAYgIEERQpJs5GjWqfUBMBgDD6/LHyWa/36fX63NwcLAhbTCbzVpd7sPDQ8bjsTe4znOqqmI6nfLoo48yn8/Z2toiz3P29/c3shavXLmMlF46KWY7n5ycoLVuWSyxnlKqILORMxgM2s9SSp+RqHVrqu6coyxLL/tVa9I0Yzwet6DHarXyQeV+v2XExAD7YDDAWstqtSJNU5IsJ00VjzxyjW984xvUTUWvl2FsSZ6nlFWDwgVJMB9AS1XiB0UE49AIdMRRaAQ1ImABbccgHFi3zogFH4jzAymzXm+NqGCCbFYMzK3lUUTLhOgOuSKQ4LXt6xAoWYNaEaDywYjNNpYkCYlIuHr1Kq+99ip379zkw88+yf/tP/wP+PjHPsprr75EnioS6UiEpC6XLJdzBv0+SkqyJKVclvzjf/SPuXr1CnsXdlsw7s7tO+zu7nJhb5fVssJZx927B4xGY6rVCmsEOzu74ARS+RMQmS23b99uvWestYxGY+bzOcvlMtD3BOPx2AddnGC1KgOjyGcJpyphufTmxQiQau1bkCQps/kMIRQIyaXLV9CNYWtrizt37rJYzLl85brPCNIGjKUYZKg0oW4s5XKGthbTrFCiYNTvo1SO0wJRFMynU46PT3j8sUf8RFFJQIPz13W1mLGYTtnZ3gZnWS4WXL9+HakkB/t3ybKMj3/8eZqqZrlccnx0yLPPPMPt27dbADTLfVb6wcEB26lid3fAdLbiX/+pv8Jrr73FSy+/janh5Rdf4tkPP8uiXPLcc8/xxS99hX/8a/8Lv/C3/w5NL2c51Vx55Clu3XmDP/naKzz33BWsyxnvjDi8vY81lv4o97JgzpJlBeVqxZ07N3jsscfbILEHU33/Ev2Pjo+Pmc1m7Ozs+IByItkaj9Cux9tvvcUrr7zE9z3/McDLv0R2W38w4O1btxmOt8nzHto48mzAwdER1XLCdL7AmiXjrXELFtfVilW5AtGQpA4hLYNhwXQ2pZenPPvc9/D222/y1s0bXLl8hccef4qXXn6dyXxFPhgzX9Z84Ut/wu7FS3zjWy+gjUM5RxYMlLXW1E3DYDBia7xNlhakSYbAYmoQpAgkOMeFi5d44403Wim/0WjEcrnyWevHh1hrmc8mXH/0Uf7OL/4iv/5rv8Z8PuNX/p1f4e7tO3z+85/nzp07fM/3fA+9Xo/5culBC/wgxBjX9rsRo1hPCAMbjNil+Ps+iTKKZYkKIHe9qsnyHGMtTVWFfkjiTINUiv7uLkop0jQjSzJwjjzPKI3PfFcqA+szzXEK6zTONSwWC5rKXwOtS1SSo0SCMRWr1coD9oHVZ7VtwQNwYZK8ziQExcnJCWW59B4aAdwVQniTcyFazw3d1K0vhDEGowNTUUryvGjBkShFGfviCBrEflSc8u7wAITdMIVeSxOtAQoc3vCdkEVoHRaDI4I9tACMjbKHeEnMW7ducXh4zGQy4eLFixhjw/WNQWKBc759dZk/HhBrDWiCDKVnnyRJ0oKSo9GoPUZtDco58l4PbS2zxYJlWXoJzrLxz+b5gsODE3a29xgMRrz44ktU1YokS3DOIvDJEHq55GPf+z1cunyZ3/gn/8w/w4UgEf5c9gd9+v0+wq2om+ARgkbXVWBAeHaQZ1Z6RowxPgdT9npcvHSFL37pK9w9OGQ03iFJCg4OTzDWkqYZaZYSzbylVKRpysHBAdZonnzycUajIdZa3njjDRCCRx95tB3vIP31SrOUpE5J0oS+cygpKZvay50JgRTel0QphVQKbT1DVziHVEGuzJp2vBAZITFBIU1TrF2zItbfWU6OjwPDteall17iypUrZJlP8FgnN9AyKSMwBz6RZBNAsC2guFrV7fM/Jq54LzML1vcbSnoPJS8DRzvGjONKKSXWBElWJRkOBvzID32Sr7/wLay1VHWJTD3ryHsrCV566RXefP0tPvqRDzOdzdjeHuOWXvpvw/MsvEfJ1zMg4weMkQ/Kuynd2CS8f5CR96rZn7ed9+gcOAfWKFxtqUvPZGiM98gwTnSe3a4NVMXQSgyVP0y1vxNl81T5mp8BRRBY1iyRhc2Zu5ypKZjoPie6z0nTY9L0mDUFS51R6pRSpzRGUZsEbRTGSP+yEmskxghcAB2wAmeFFyyIclaWlhnSVq9T8XNjUu7U++nVz2sb7f3TmW1GKS3j5bRsm5IRQJHAFom+I3AKGIv7jXkwzsuUOiBVltQaUquw0mKUDH50D2Cb3dlf97DXV2p9SN1j67JFukyn9eMnsAVcuN5OYIU3JbZW+s9SYAJYEtkkzm1KWD9ooPhej73u93+eQedzAY971uWdAKt3Yvls7lcQZLSEQ0kXmCK2lcpqQRGhKWRDEpgiaWvCrr2EFrZth9020KlV92jPFHumtZ1/LiKzeW2Wff5xnbtu+Pe80PF3Sx/47ZZ1oP0v+kgCY+I+u428ifNAqIctsc9bb3u9j83Bx/nrbi6//v78sinotn4iiRaHcJ0fPZGj6wXqwcd1dQMDbt3j3XvPnXWANuYghJ+Oixi/lAEUXudvnupw73+EH5RzSvein/5+47N7qFP7vgZGev2CpqmCLEMessWbwEIwVNWqldiKkldpyD7P8xyA8XgMOEYj7zsSTcutNeR5xmKxbBkj8bOX84DhcIgxPmB8cnLSAiHeMLkIgI1q2SWDQZ8sy0IdBVImweNEtEGnONlXStLv99Fac/PmTa5evdqyTsqypFcU7d/T6ZTBYOAzJWVCkqRtJqxSHmCJAMhpvX0vq2SwwWjdCcHBwSFCSR5/4lHeunGLobUY69AWmsZgpCZNJc5JslT44DgC4xyNc0jng5TdXnidHROLl2vxQKppJbUAH+ADfEat7QxY/QfbMkJcCLYKcBJn16NZRwzc0R6rwKJUYBQYw2w2974UAQDTWiPF+prEazQej3jttVcwesV/9B/9B/z4j32ayxd2mc6OwNY4m5IXeQAqGoo8ZVUuKbIBqZSUixphJdujXa5cuMZqtcI1sD3cQdqEpoTppGR3dwetDctFSV03FEUPgSLNMo6ODryUlTX0+z2uX/fbGY9HlOWKuq78EFUq8rxgNNpiOptRG4upF2S9Hg6fAZuohKrR5HlBfzikaSrPjsoLnzG8ahiPt7xHT+EN2pMsZzqZczKbcfnyZaxwON1QVxXamMCYGZDlBWgTzqEjU95jpKwqhLP0+jmr6ZyXX3yJ5555iqLIUAKQFl2XaOPNt5MgnzWbzmjqmtViSVWVZHnK3s4uwnnGTK/X49r1R7h5+w5KiFYiLt5zezvb1Kamrmq2t0ak6Zi/9Tf/Ov/53/9vGQx77B8e8I2v1Tz59FN86+vf5Hs+/Bx/8tU/4f/zD/8HfuFv/1tYa1gulwy3LvKVP32Nxlg+/Nyj3D1c4FAcTQ7Y295B09BUDZlJGQ12WI4aDg6OqOuaCxcukOd5e/+tViu2t7fZ3d3ltddeI0kk87mXrUmShJPDYy7s7LJ/+xbT6ZStrS2WyyVJklLXmlVVc+3qI0wnC65eu4a1cHB4yOHxinI5ZbS1y5tvvsnB8SEXLuzR6xUYY3HCIZOaJJUMhj2eeupRVrMZMimojeG5D38vb739Jt988RVu7U9ZrBq0VWwNt/m1X//njMbb3Lp5l+WyJEszEiFYLBbr/ktIMJaLu7soKamrCid8XmS/GHjJQOOwiR8urVYrZtMFTz/1TJAqPGAymbCYz0iThJ/8zGf4J7/+axzu7/N/+D/+e9y5c5ff+d3f5WQ2pWo0RycTdnb2UCpFG88cwXlPqGW5wtQ1SImSCg8W+AFQnOw5azFaowLAmCQJWc9fp7r0TCmjayyCJMvI8pzecOA9odKcqiwZDgYYHSQK04yyXoET9Ad98nSAtQ1gUbJPXWmMm7Czu4UQfc/gsBVaC+qqoa7mCGkRSqFUgspqBI3vw2QYcAV2HsKDAA7hM9kBkaQIvESfBzn8aCwCz3HSbQLIIpRorVOiZKRnAZqOx4IgSbI1YGG9Z0LsX2ENpDjns+8jWH+2CN9ftz00xKydgJO0A9ZuMcZQ1zW93gAhBMfHx2itmUwm6zoFpoSwomVoOecQNk4GBL3Cs7j2dnaDzJRrZTjzPGc+n3v5SSmCb0XKajGn3y9Is5SqrskDuGyc8x4jieLGrZscHh0w6Pd8P93vkWQZQiQB5HF8/ye+nyTPPCOFhKLXa4PsWEtVV1y9cs1fL0sI7vuhu0wSbOPZft5bxMtpKKXoDUdcuHSV/nCMc551U67KAMY5JicT8ixDOFBJQlmu6Pf7bG+NKLIElUCSSazT9HsDDg72UUoxnU5JspRGNzgpyHtFCPZXpIni9u3bXL24h3A5vV6Gbhqcsy0ooaQEZ3EWtG7Qeh3gj2yIGOj3Emj+GVxVVduf+CQAGI+3eOKJJ3jzzTd54oknNsACpVKcq1vGbkwSEQEQBFpWU2QPReCly7yI+8OB1XFy48IymsZ6nzEhFBgfXWsTM7CBRTvhx37sh/jSn/4pf/SlrzDe2mE6XyLTDKf9GOXg4IgvfOnLPPvsM2gcRycnKOHHOV3Ao8tcixJkEGX0COy4D8oH5eFLJ9ExfMG/mvPxBzmm8yJv7tRXDwgedefoVgtsldCsUuo6pbYptVNkTmKFOLV0CCKFr+6nnv+gMd/3+nKev98z0YfNZd0aFCldwsT2ODRDDpohB/WQ/XrESdVjWveY1RlVk9I0Cm0U1kisETgjA/gBUapKtGwQQesXEuMeDxhfWuMg6/HBOx37ufFwR5CG9nVpwYEgqRUZM9GJTrY+MjEovmYBbFYugOThow3eEGnwjzBOoJ0A61mXMbHgnYpvz2fDfKJ7cOHkuM7nts4EM/mILMVgoojnUiCdB0ac8HN1Yz2b1BjJZt5h2+BP3WgPX+L5iwHJh1nnncvDgSDn/X52X52w733qEXsK/4cfIAvhvNl6K6PlwZFcaQoZZLSk9mCINKR4pkgmTAuK3MtXxG3U7Pwi3f1/79Y93qYPW96fj6MHr/WmgOJfZDkLYEMb0t9Y6vRj72Fqe/9l7+9L093C+S307D6EOA2NrLum9vvwgI04hYjgYEfJZvOYxTs08gC8tLt1LSri3/wPwg/9aekqLkx2O4njH5R3Ue7V2Lq32EPeau9rYOTo6IgsTdja2monxFGmJmpYx5IkPuC9XC7Jsoxer8f29naQy/JSQsvlsg2o7OzssLW9jbWW6WTqM4jruv09ghdKKSaTCeAn4FtbWwBUVYkQUFVeziXPC5bLZVs/r6WuvTl0v8/t27cpy7I13PQyJoLlckmv1+fkZBImyGl7rFma+WzlLKPf61PVNUBruA60dYssmqZp2mBQVVU+MxQv/5FmXpJkMOzhkHz4w89xeHTMYrkiSxSJgiwPBq9lFYzgI2LqwLrWPyTe7c7JddsUnfbp4gPTbQxsoyAXQXrFxYU30NhI8SX+Q9TK918F3T8btfkBLEbXJGmKMZqf+InPcPvWbb7wxS94cMh6uS6pFEmablzn46MTrNZ8/GMf5W9+7uepqxkH+3fJUwXOkmVpa2qudcNoPESqhMVkxXJRcvnSVT7zExcoegVNU9Pre0Nzr8muaLTlypVrTKb+GgupfMAHQmb0Euu89jw4TiYna4mNuqIM0mg+g1ehjaGxhsZo8iL3xrTCa683jWaxmKNEDEQJ+v3CmwFnmQ90ywzdaHqDgQ8qO9CNCUBEn+FwxN27d5nOSpJ0yLDfJ837aKtYlCusg16/h5ISiaFIM7LeFsvFjGq1wlnH22/d5PDgkOuPXMNZD4wtl0sW02OKLKEuS6bTCcv5nNFwxPHxMQ5Hvz9gOBx4Y2CVoLXh6OiI3Z0dVosl2nomVZZlbXBMaljO5iiRoCvL9zz7BL/4t3+W/+7//T/6bGa94qUXvsXO3gV0WfMjP/zDfP6P/5h/+A//Bz73uV9gpz/m5PiYYnSBr33rJnf2T/jE88+ytbULcko+6NNYgzbRUHvF1tZW62MkpTdZjkHDKIMWDY8vXrzY6utXqxXL2ZyiV3iZOgfz+YLpdAYIBv0hdWXpFQPmi2NeffVtyrLCIpFpznhrjDYaqRTSenaa93ZwDAY9tnd22N4eU1UrFvMJ2+NthsMhx8dH3LhzwKVrjyLTAX/8x19kMNphe/ciX/ryn3B0fMJoe5e3b3zdZ3Mbg5WelVRVJeWqpNfL2dnZZjDoYa0jSzMQiqpuqCrPQMoyxWq14OjoGK0No+EwgMWG4+Pj0KdYPvWDP8iXvvQl6rriV/+dX+X45Jjf+73fY3//AK01/cGA23fusLW1S1bkaJ82TmMtxoUgY5r4QU+YeWyYr0c5ohg0zlSbxS6EIElTtK59dvpwwPbuLr1eDyskxnjz7CxLSIQiT70sVVWW5L0UZR3aQV2VKOVAWHTTkKUpxiSk/QzhBjSmQcoMpQqqskHIMQiDsz6AOxyMcdagG81yWeKcb2PeA8RidOP9J2xkbcSONpjBh+CqZ50oVJJ7LxNrUEnqPSeco65risIHX3Wjw7PNB/V1yPTXWiDlOoCswnsb3A/9dtcDYVNqa93vtwPH8DCQ0qM+1pq2q4+JAs4YrIOqrphMvCl7EeSWEN5nwwFCBg5Ql/ts13WJRuNFUXD9ylUmkwl1vQ6gJyrh5PjYs0bzAVmSe+Nz66UbIytlsfDPY60taZLwyCOP8M1vfhME1FXFaDDoSLZZitGI3/7t36bX67G3t4cQgdEQgvTC+XFDXddkaUZVlSzmcyQemMrSnCQXPiHBGv89hkR6BtBisQpBeYtQ3k9kEcY4dV2zmM9b9oXRjjRJMdowHo/Y3t5iMjlmtVyiTUOaJjS1ptE2eN4o6qpiuVww3hpjnOf3pEKwv7/PbDZlNLiICXJ4Zbnyx43wiRHW0ugGq5u2HdR13QE9XMvSiMDFRrsNvjonJydcu3aNF154gclkwvb2NlprVqsSEAHQW7N7u/uIAEzcX5d1cdrA3LNZLFJ5PxxrNELJEEDwsxtjbXh2+rFOEvxUrPU+bAjND//wp/jGiy8xWyzo5QVWW3Beaq7XG/KnX/sGf/34hJ2dLVaLGUkSxjpBctTfV2tfOMJv3fNy2pT9g/JBeZjyvsdC/jwDCp1tP0xQaCOQrAWilLhUUZUZk6bP2JRI4Uicz9oWQiKd3dj4OjBzds/vFLA8Xf336vqev993Cn35UjvFyqXMbc6hHnCnGXOnHnFQDjkoh8zqglWVUdYpWnt2iDUiJLmJoGVJBwhpw1FrpKIbyN9oF5t1PB3D3oxL+QDZA8XrupdGrNdfv62zjOMU1U9TH7DBxmo4H7wL6X8k0pApE0zrvfSjNiCtwMRT5MQ7Vv/Md6frJdbb8mJY6yB6m1zEOrC4Pq4wDw9BSut8UogSAu28fJOxgfkTtPZdEPv3x/vttdqzAVIe7CZ5l+XsnXnq93cCTWLQ417bj+ectZBqlL9S4hQgojxLJLJG0gCMpMKQsDZd7zJFzmsp3eZ9fgjdH5hz9/cV2Ty2TZ+dzfcHK27js9h4J/o8nF+LM+v/eZQHYUF8N5TI7uoWEe5Z//nUsp1PD3Z0976uYuPXe1+R7t7uBY+cv93T3X9sH5t7FYIA0NrQv4m2xz67r/sdseh8cuG+6P4cJLlj/x9AERe1vLrgSHuY5xzrdww8ud+xfzeiOfeqr7v/z+eU9zUwkucZvaJoNdajgWrMSIwMkWhcDn7SHCUUopSQczAajdna2mIy8cHpqqo4DHJa3QmqZ5OsJ/lN07T+Jtvb28zn8zY7XAhIsxSV+AfJbDZrMxW9vInh5OSoDTBFbxPvRdDQ6/XJ86LVnfYTYstwMKZcrZjPl176qxgwn3s2S8xeXi6XrVRW9BXxbJesZTasgmlpv99HJQJjGpIsYzafglAMBkOefOoJamOwgHYObR2rVUWaKpzLfSCl0kH6xOLlr/xnGwZ23XvI0c04iOCJ8yOkOBpswRHfNfoBk5cnccF0bh3kjMGvdTAwynYYY31gqzMQns1nSCl58823mE5nKJVSljVZr0AKiUoznJA0uvEAFeCqhn6vz872TghgVzRNxWgwpsi20dqQZZ4xUpae7aFNSVMbUlVQVTVJqphOJiRZilSSk8kUrTXj8RapEMzm89bDQClFnkiaxrfV+WzOcDQEvNdAmqVYZ+kP+9R1hXUWbbSXAXGCSlfY2YkP1jVe4sRYjSKhN+iBtNSlr5N0HvG21oI2qCRhPl+yveuZBsvFkizrUdaNb0u9IVVZU64q+v0+q8pwvH8HZIpzCQfHx2jrUIkkzzyTJk+8Wfvu9g7PPvshvudDT3L77Vc5OTrh2vWrCCTHd28znx+DM2hdU66W9Ad9lADdVOxsj9HaYI1jf/+Auq7o9fpBLqWmCSwVYzT9sfcM8iwLRb/fJ00Uy/kSR0kxsPyVH/8USPgv/6t/gNY1RW+MsJblbI6zjh/7oR/hi1/5Ev/gv/9v+Nmf+yxXrzzGdLIgsZI7+zP+4PPf5CMffpSmNFy52qOq5ighUMrR1CW7Fy6wXC43pPxGoxGr1apltNR13erLx8zl+WxOohImxyf08h5VWbO9PWBvJw/3U8JsuWI86jGdLCmrBiET8l4f5URg7sjQ71mK3pDt7S12drfY2Rmhdc1wNKAuK95+8waj/pgszdka72IcLFcNB8dTxrsXyXtD3njrNi+88DJbWzt87evfJFMKEQKN3ihaY6wmyxJ0U9Hv5dTVgrKqkEKgkhQpFXVVkiQ5Ra9gNptR1w2z2ZxPfvKTFHnOa6+/7hkldcPOzg43b9ygV+T8wi/8Ardu3eBLX/kqb924gbNeJivNCqazE/YPgj+TrLGNpaobGu0DmkoKbDD43pw8iWB4br2/jXMtOK6Uoi5LkiTh6vXLjMYjsqLArXur0GcZjNYglA9uax/kXi1KZOK8/FYNaQAljV6ihcTZirpqSJIAIkhwiUIKQZrlaF2BgiwryHO/L2sdO3u+7tFQ21rPogCHrkus0+jG93nWOkyj1/GEIKVkrMF7J/hpltF+maZZIZwjKxSN9n4JUkbPCIVSApXItl91AbTw/iRy7dsiYn1tK2nUsgOC70XX6N2GCyODkb2Dlq2n6wajbdDadlSNz5JU0ymrLGM+n/tMyQDEC+cDTUnMxvE7af1C/PPfAyRezk5xdHRIXXtpxURJytWqfQ4XeU6jNYnw/hJO++2nKsFoS6oEF/cu8W/8/Od47eWXOWkatAThDGnu5bsiS/X27dt84Qtf8GC2NaRpQt34JIsizz2DIUlo6pqTkxOaauWDCNpQN4Zef4QIYwQ/MTboekVZLmi0l08TKkFKFdiiPsHijddfRzcNKk1QUmGdwRgverm9tYVSgjzPUIng4qULfOjpZ9m/u8/B4WE7E08y36eW5ZL+oOcD8knimaqzGY9cuxTM6JMWzDJG0zTaZ2x1pM0iiBbbTSudaddSUXHMFpkRSkmaRrN74QKPPPII3/rWt/iRH/mR8Jz1wGX0VIsASRxHdaWpuvJwkSkSWYVdtq6SiqbWOCwWSyL8ukp4RqrWAbyQAZRzDTbYChnXgJN86lOf4I++8CV+7w8+79nFInoGObI8587dfX7n936Pv/U3P4cQEqU8MyiOLbvAov9M+52U0Qjy4QxTPygflHuWbyeW8zCBx293Dv1O9XovYlAbQYkH+P5BN6sFssT3lWXBUT2kryuUMBSiIRUGge0EZWgJ9vGzbStwrzDTeeXPO2Bx/3Dw6cBa4xRLm3Ni+hzqIXfrEXfLMYerAUerAcsqo6kVulE4E1j/trOVGLFz99hJ9+8z1zDOPWNiTDdYzeZ3DpzogCPnbK8Nvp2OLYpunda54DHQdlaM5d4B8Y3DFG1MD4EjEY5Mat//J35GLIVDW4m0LviZ+Jc7U8Ezb2cO8CxzIQAdITInustF5gLuVMb0esuxLlYKXz8p0MahhUMLn4TpPLHUg0id4303RWwe5Lss6wqdz+zoBILv8fv5rJF32u66DUUQKoIiUnjWRyINuTTksgmvyBbxniKJ8GyR6EOihKXLVLpX6YopnXe4Hvxa+3+ct6SMbb/zY9fgOjKoHqZ0Ij7rrThCXbotdHO5tdTb2dqePgsPAtfcq9+zDxzBfpcPl/e4eLmzbp/k6H6KXi8PBYqIe94OdKGPzbI+Ly7s9UHvY0E3nhjvnFAfESOKYb8uIBVOoMJy/t5a7+7Bdhvvk3Viomi/iefBeUliJ4LPVHjgdJ8ZXVTnfgf4F1Vc98PpHZ9B1b7z5Ux93eaPZ55771ze18BIVdUMB4PWhDOyMSIoElkiscTJd5TRikad8/ncZ9GrpJ3Ex+DlGgTxgfKrV68ynU6DhnxCnudeezwYmRtjaJoapRSDQZ88T6mbmrpqyPKUfs9nu0sp2draarOl///s/XmwLUl+34d9MrPWs9177vbuffvrbbqnu2d69h7MPiAAggSGACVRNBmkVkuyHZAYYYfDshT2XwqH9YctkpaCIUVYtCWKtMRNFAmBIAEOZsEsPdP7vr393f2evfbK9B9ZVefc++7rfj0AZjD2ZMR795w6VVlZWVlZVd/v7/f91lr7YMGEWvpKSsloNGoiQDudDkVptdWDShokyzLi2Eapp2naRBQWRcH6+jpCzCVvgIZoCSo5LtdziaIps9mYfr+P6yj8Vps8y9nc2iRKUqLoLTK/pKMhzwtMXlZggkS4jo1kto9qSGM/iQrAEzVjWxvxGaqsjkVZL7PwUFRHHh8/3zXQoZSN2Fxcp84kqYG4msgSUlTeIlbWQwqbNfPiSy9BpfMeBEEDoAkpyIucvCwaetmpwN2lpX7l1wC9SvYoTy15MR5PkEISBi3SLMFxXXxPUeS5jWBVAcqBssxIc43jSbq9HspRleRbgOPV/jOGVivE8RzyPMMLPbSwsj9xEhOEgR2TRQGIytA7s/IsUuC6ijD0MUIym01w3BZKqorwiywB5iprfJ6XCOlXhpCCOMnY2Nigs9ynLOfG9CsrKyjHIY5SBoOB/Te6SZxoZnFKkhQkWUmaW/8FIe2JLgprqtsJQyQOD1y5TPLZT+M7Bp2nKGHodgI8XyE0TKZjOu2Q1ZU+ruswq25ma6trbO9sVxIxFrQtirKRnTHGRpXHcYyQ9trwPI80SQiCEN9pUbhYGTsKymLGV778GZQS/PX//L8mTaYc7RvSpKDT63Gwu8+Tjz/BrYM7/M+//Y/5xMc/yxMf/jjaOGgckizlX/zec6z3fT739Oc43LlKHA0IugGlthH0o9EE3/cIghLfD5rr2fet7N90OiEIfIzRDYGTJgme6xMR0+320FqQxCmdbg8hHDwvQMiAKC7wgy6TyRHKUySpQekCx3PxQ48Nf5MsLVjqLrNxZp0izxgcDZhOJ0ixT5FrDg+GDI8i3navMotmtNohRkqOBiP8sMNwNOMHP3yW3tIy77xzlel4bOWIqvx+6+WRI6VgMh7xC7/wVa5cucx0OiWvsuuyPKMockYTm2nh+Q5ZZjPVVlZW+I3f+A3+6l/9q+zv71OWds6KZjM64Sp/5mt/hr3dPV599WVmsymdTofpLMJTLlGcEIQttnd2uXQ5wHE9ZnE898yRVn9ZVEC5WcgekFLOBZ2qtzGbJWGzAlvtNo986BE6rYAojkhzG52tjSYvC4rCAqZFXhBnBabU9JeWKAtNv9MlaPtcefAKa2vr3LyxzcHegF6vY+fywZjRZAqU5FlBnJQkWYTGWOmyMkNKp8r4s1leSllgG1ED/VbqyUoqCXSeIqQlTWv95iyz85cxhlIXlfdWZolrNHmeURY5QRgQhm1sp9nrqMg1k8nUZiLlleyjI5pMQON5mOo+W5P6Us771s7RqpFprGWdhBHW/F1UJqjGoMWibKJo5hubFWM9KqSyEf5qQW4pjhN8PzgWtCClbIj0+lxbI3KB0Zo4jijLgv39fTqd9rEsgjiKLdmycK/ZPHOGxx5/jBs3bvDcCy9W16lrASxt6LQ7PPfsswyOjvBdx3qnaKzhvbCkjZA2GOHmzZvVfbfE9VxWVlZY6a8QhGG1R8kDDz7ImTMbzKYjHAFZVuD4Pt3OEkg735VFhiMMjjIYSlwvYDCaEMdpRTwJhsMRvd4SW1tbvPjii4QVKWQMFEXJ+fNn2dw8w8HBDlJKzp8/TxCE9tyYucRVqUtC15LMRfXspKv7q5KSg4MDsisXMCa0clllXgH31f1egiMV6EUPsPKY78eiB019zup7uOd51hPH8yh1yeNPPsE/+Se/ydFwUEWaSrwqczKrMmK1MWiqsVU/A1TPSIv7rH2RFvdv/d3sM41BgrZkoFLS3m/KEqUcdFn5k0k7v+mysGbwriQvClwl+cqXv8xzz79MEsWErQ5lXpDrHCkUynH4vW9+i1/4pV+k126RRiP8BbKo/lsT54uZND/zFvlZ+QOX6qX8ZMDAB67jXrjOH3SI/lEO8R+RCLkf7OJYZdogCkGZKkZJi5vRCsbTOKakKxN8Wdj3JGF9F6w/63EN+EWY6O69n97Qn8TssNi64/yFocAh1h6TMmSYtzjM2hylbcZpwCz1yFIXnUt0IefZIe91FDXwvmCqe1dDqs+CGhE7DvRhFuRP5PHrwJwI5GvqWDg4M//Rrt8wITbQRUorceRIjVNF9x+P1K/B5zmIaI5VPN/PIhxpswTssgriRpWGXChyDKWQc3KkAYNr1ufuLmoO4wR4PV+2CBOfIEeqdeeG4He/r1uCxrZFCY020gL7pQX4S2GzR8pqV8aIKuhxvtf7Ku9BWPxhlffL/nhvUuTeclnvdzu3QRGm+VdnizhC4wrrKxKogkDlTcaIKyoZLVHioJvxZ7OQT5BhHL9uT1wpdx1eTV7NyYlFjNcukdBkEy2OEVmN3Npfp/7ttPacbEXzt8aQju3xbvLDXjsNPbMwDZzMIplfibqqfzGf5rQMrJPkybwfTqcP7iZbzLFj+MmWxWt6gay7xzrvd10dJxZOl+w7jfw0x2o+Ri28Rznes815FfNzXdMjYmFtLUwVnF2RIsKgjo3VH+3BpiFnxGKmS0VS1/OjrHDMmhypP7/fLn+cHNqxG/kHme9+QuW09i7el+vvH6ATf6qJESktkOJ5XgU0TptowTAM59GgjtMYtdbZHIuyVbWBehRFZFnWyGE5jtP4GEgpCMOQNE2beu0LvsL3/YbssKag9rc4ttISeZHh+x4G3WSv1O2UUnJwcEhRWHJkY2MDwGqdA7u7u43RaE2O1OJUSRXZPB6PG6Ntp4rmdBfkoPIK3Kq1ueso33qdIs+b6NY0TWwflQV5loKQfPjRD6FLzQsvvYpSgl63Q5oVTGc246Q0BZXnOUoIjJSosp6QqgFpKm0/MwcjbTbJnBhBLNyUKrNZG+E8B1sa0kQKanjTGE1R5I0Wfd1XfhWNWxaaLM/RpSYIQmazmQWtlDU3lcr6IEipKHRJUpFLnuujHJfAUySzCd1ujyzLiaYzHKlJE6o2CNqtJZu9oFM83yVJYlaWV9B5yXA4oChUZQiuoTB4vvUL0cbKHJUUSBSGAuW61qsArPmusfrwZalpt7tIqUiThHhmswvCsE2apBgNnu9BllmiII1pt9qkaYbn2/6IZpEFFMsqO8Vz8AOfMi8RyuXs2ibtTpfCKBwnwEiH3vIKjuNy4+Ytbt26zeBoSJQkDIZjklTjuAF+aDOTep6LNjaby/etvEqepQhjx+ubb73JO2+9yXIv5PzWGR64fJErl89z5coFPNcCmK2wjdYFeZYRBD6j0YjtnTtWrqrQltzKcqSwWTVal/b8a41yHXJdouOYIs8RaGZRxGyUsHFmnbwQxNEMz/cZJym/+PNfoN3q8p/8J/83QBBNBMPhgNW1DQ72D3A9l49/4mN8/7vfYXA45otf/BOksc9wcMTyygXG0RE/fPEan/jogySTXdLokM5Sl/FsZo2tOx1GoxGOo4iiKb7nMTMl7VabOI7o9ZbsHJHb6OWG2NQFS0tLCBRHgwFhq4eQgigpCFtdZlHO6uoWk2mJcjyE45AXGcPBmNlMkmcZ4+EE9E22trYAQ5yMyNOEKEpIk4IoSsnSKciCdqfF1tmzeGELP2gTJznf/d4zdLpL3L51h6PDAYHnYyPXlDU6Fw55mTGdjPnYRz/Cv/1v/GWCwEUpQRTN7NxQyXqhJEmc8trrV3nuhy8yHY/5V//8n+fg4IAXn3+esNNpMqQcpfjFX/olbt68wfefeYaVlT6u5+MZgUxsxoXByl2Nx2Nu37nD6uoak8mEOI5RbmVQrEFIidFWdmkuS2Pnpvq7qvxR8ixjfX2dj3/iE4xG1ujbUJKXOUVZWlBTOCAVWVIgpeKxxx7msYcf4vzZM/zW//yPuXH7NqvuJju7R2ycucTGxgWWO+t86LHzGG1445XbRFFMO9QY6ZGXLeKsYDIbk+YzjChJk4TxZGr9rkpI0tj6flSeKFJJHNe1cl6OApPjew7SUTjStZkTKgNBlYXm0VUOjmuj/7MsxegS31MEYcAjH3qMs+cuMjgaMZlMLelcakumpGk1g5eMp1Omk7HNtEwzsjyrJCFzCm1BdSrwvMyL6uF0LqfluC7SkUjpICpSItclUmpquaoyL0AKhFBIx4DR1YOlJQaM1mhjCHwPY0okVnawJrYlovGoEkrZtmiDkjT3/e3tbdZW+3YdYe81k8mYaDol8D3CVkDguTz5+Ie5eOkiruPw/A+fxWt1KIoSWXlu5EXO97//DKa0x20k9l4iDaXReJVkZZ6XzGYRSkg67S6u6xEGofXFEJIizzizsc7mmXWWlzskccxgMGA6nVWSl9bryfNsQEee5xgNruuQJClpVlCUJY6yWWKTyZQgCNnf37cBFL5PUWRoQAnQRWE9RBzrt9bvL7O9vcPt23dIkwxjNO12mzizzzrIuTm51lbS0VMO2zs7DIZj1lb6lNrgqEpms5IIM9Tnzyz09Vyisi7zjKPqGaKSwIrj2I5l32d4NGDr8iXWVld55513+ciTH2U4GjEaj+feXkHQyGgJpSjzvMlOqb1v6sCZmgips4cXSZRSlw3Zl2WWcEGYan4SOLIiA5UkUIE9Rmwmieu7ZFnMJz7+ET79qU/w2//sX9ButymMQUiHvLDE2HA84X/+rX/Kv/GX/gLpbFwFeth2LZrC6yqL1Oh5H9rsmJ9Jaf2s/AHLe5Eb97v9H+Z6f9TlftpxN7pvS4Wu3C+ZJIyA0lDmilHUIhuDUYYuCevuhFBmCxH3FYm+SIhUuMnx81NH0t7fYfw4ykm44SSwWRpBYlympc+4CKynSBowS33yzKXMFJQCCnk3FraI2t7rgE6cn8XPtbTyMeCpAqmOSZhgv2LmfX+8jrvJkUVSxEhjZRCUsXKWqsR1rOyVo6yMkVwkR07x+FjgLo4frJkvkRgcoaHKGsFQgd0VCWUqssEI5GLmSHW4x+Hr43taBL7rHdegfL3NIgC8SPJIcfox1SSHbEBrG1ChhERpRa4NojRQSYMZLaus+D/o6P2jJUXuj+RYgOzFab/fo46F7Rvs5BgpYnCksV4zssRXNkskqLJGPFngonFFYT1IMAuZIidJiPk5nJ/f0xt5bN1qYlokRmoKQlbr1mNdLniaNBkv2KyXxQySxT3LhWU1sdH06D368Ng6Riz03nGRpDmBskiIVP+MsAFNCIyxorVaiIaMmbfnbsjfnDiauh3z3xaOqcouOClV9hMjSsQiPXTvUbC4zv2N5fmYWSynec40/WosmXE/+dAn2zo/nyfH+fF9SOYSgUZYT2SJbMboSaLveCvF3Te9U8v8htSQxsKee9HcO8T84nu//vxx3tDr/d0PP/STfrZ7r/Yu+mDV69xn+SknRhRpmmOMwHUtQJxlGWkaNy++RVE0mRVxHDeESbfbbX4HawS8srLCYDBASmsYaiNIDZ7XbSbHw8MDHMdG9FpAvuD27dvNstqIvd32GQyOLFCnFAKF0QKNttI+rovneURRxNJSj6IoqoyPpDEVzbKMCxcuNA8KtfRXog2qktyK45jNzU1qU1rrYRHieS6tdo/ReAAIpBJQGJSShK2gIUOSNMHzfDqdNlqXtNstHMclLzIG+4esrK4S+h6PPHiFaDbj7XeuoaSgNDndXkA0E+RSgbAR1ZWdB2VZ2BujqSQuqhAdWT9oGSuNhbQARFkaCq0rfw2FzispFwSmxHpkCCsJZWT10IaoItKL6gFNsbKyShiE1l/EaFzHBW1I88y2QynyImUyneIJj/7SkpW6QTRZR0WViVGIAomkf/Y8LPc5s3kORzk4jmR5qUWWJpgSlPLIy4LBaIBSELSWiaIJWZrR6/SQjkNhNK4QJHFGUVqgazKZ0m51wFQG9tIQ+j5SQZYlGC1oL3UpstKatxYOynEoMk3b75GIlG63azXge23G4xHJLGelv8psNsEXPoHyCVs+WZ5TxDm+45OkOX4Q4gchUTRjPJrR63ZYPXsepXymSYEXhLitPsrrMhzHvPXmi4xGE4ajCZNZTBRnhO02nZZXRe0K0jRnNk3JtUFFqgGffd/FcxzOXLyI47iMDgcMxhO2n3+D19+6wYVzZ3jg8jkee+QBHnvsAQyONe6jJE5jpukUk1oTXp3aqHpX2RtZO/C5tX0bRFmZlE+RSpAkMUmSAFaWqBCatCwxCHy3ReB7pIMh+7ev8/GPPMh/8Bt/mf/7X/8vyYsuXthn/3CP9a0tFC6jgylf+cIX+ebXv8X0cMCv/pk/i7u+wt7BAB30+PZL73BnMOQrX/g43aVVhod3kFmO4/qsrq1hdM54NMRxFQqIphMGBwcUaWblsvICz2tzcDRhMj3i7PkNxskY4wiCICTIM5IiJ2y3uHn9DnGi2TsYMBxFHBwcEbbaTKYzsixhGk3QusCRisD3wRiOhiM6nTbnz29htKLT9XH9nJwxw+kh7U7IhSsP2WvR8dBIvvWd3yfJcrJsyo0bN3CUwnU8XCUwpUFr659U5BmdIOR//7/99wkcQzTcY3m5Tc+3L/xJbCWc0qxkpbPE7u3b7O/ucGZ9nbW1Vf76X/+rrKyvMJtFSClwlMenP/MZjo6O+N3f/V280GeaJJVUUEErCFFI4jQFNL3lXkVgaIoyR4hK1koK+wCkNboocSoJQ1lFc6SziKDVqjIqSorSzrUffeopdnZ3SeOYLM6QniA3GdoUdNt94lHOwe6IJz/+aT7xyU9y+eIZOgEopvz6r3+Ov/V3/nuEchDqDC+9kdMJHR5/8BLD8QFpnHDt3R0eOn+RUMbkssUsb1M4HqrT50yo6C+3ePCBS3iBy5tvvU4UT9jd36YsCsaTCdNZTF4UDIcT0tKQlhrPcUimEVqXROOIXruD5wtKkyBcB20kntOzxvfaIJSLUq4NLDCSnTv77O6O6PaWGY+nhKFPN/RZXe5ydnOL6dT6+RgBSZbjey5KCKIkodVpM4sTkjxmOp2QJinxLCaaxQyHQybTGaUuieMZh0f75EkEhYNQPqbUCAVFGYOw5FWaJKBcUC5BGFIWOb7r47oOUmCl3CiZJQlhEFAU9phU5ROSVdk9jqMoNRTSRRpDUZQIpem0Q9JoxtQR1khdSbyWz+RoSjwb4bV8puMjrly8xNbmJrPJlPXVdTq9ZaIsI6v8wozncOdwn2Q6Iy8NDtaPxQ/tg7nnegSuT1kYlHSJZ3auzguD64Z0ul2Wl7qkacHycps7O1eZzJ5keWWZVqfPrTuHxClMk4idgwM63RYPP3gZUxY4UlJqQdtvcev6VcbjKd1uFyEVs8mM4XDIAw88wGQ0ph22KPMcjAZd4DpWYm48HPPoo4/w6quvsrO3y42bNxBS0estsbG2gTHw5ltvURqD74dEUYJyfSsxlgt8T1BqY7NV0oLAc+l2utin0xxR+3sZQwkIqZDKwVOVvFqZVy+P9iXIYHCkQ15qjLSSWkgbTa2wZNt4f4/PfuZp/u7f+7tcuXiJVuATxzFSGFqB31zfrqoS5CVNgIXnuZUBvMZx6iwMQ1l5q9hgFpvBmuUFCIPn+XiV95CvJL1OF10a6yUlSoRUlGWVQi8VpdE4UoIpKZMJf/l/8Wf51u99nWg6xgu6FMZY4AcJwuX3vvENfvVP/xLtoEMeRyhHIaTNCtNGI6oMqEKXzbN9Wdhzqdyf9BvJz8pPdaleJI9pi/84oxLfr1Tt+iNrkjjl43vt7H5JJDF/DweBKSTpzCM/EoQmZ18sseJHIGFZxSiRYMNMaphnjpDXYIqAY5JK9zyQU8u9WJ77296c+Hty2RyaOh10NUZSGklmHNLSIS1c0tyhKBS6EJhSIEobxLLQbTQRn8AxzR1zfC/NsrvQNxoMy0KOJ4DMxYyT+howC8dTY9IVOdIc7AKTYAQgDcYx4BiEY1COJnALOl5K200JVY4rTze8FqeO8YUzvLDbGhS279QGR2rsnbUGVG3Gvb2OrfG7pU3qWitw1tx9tkRT9/F2nQZqzn8x1GbgzboLn6Eas5XkUuMnqkEqg5IaVSpylM0e0ZJCgCkl8CNkjdQdttDE99/6g88u96rzNCNzu/z433vXe/f2wsIjzT8lDEqWlhRRhfUXkdZw3RV2uVv5iShRkxB6IXvjJJhcDehjc9bdRMVJAHoRNG6IMeprfk58KE4SIwvXASCEPiGndbyNx1v0Xh04pxSOkxPH4e3meyO9VR9dlWUlFkgUY+kZXX9f2L+hJjaOL7OEiphvU2Vw66Zd83VOyn/dRQB9oPLBtjtO89y9XCwc2clzURNsVUjyfeD5d7fKnPJLndlWk0bi2HmcH+Gp+ztxW5McV2NsVrMvHJXkmUQLrFJK3fvHst/mxPDirej9ynweXJxlBVJWKjranMgyrB/EFg/k3sf2R14W9/fHhax5r3Kv9jYD2Bz/fJ/lp5oYCfywiQBMkrSJBOx0Oo3vSC1L4Ps+UkqSJGn0qYMgoNPpNERJp9NZkGGyF4vjOIxGIzY2NhkMBrRarYaoqPWsa2NzKSWvvvoqvV6P2WxWyTVk9Ho9hsMhnucRBAHT6ZTV1dXGnFlr3WS1zE1JrYxX7VkihAXuW60WSRwT+G3yPGe5MoifTCakaUq7Y/XTlVLcunWLyWTSEDZzs92UdrtdmX+bhWjQkizL8f2Aw4MhriMxRcne9h26S8t87CNPMptMeePdqwhj9dFd5ZLnhvFogtUQLykTa9ael5DXkaFGo8sCI2r5DABtwboKWFCONdNOspTAb1GWxmp7G8vvOo6DLjWOq8iyhNFkgqNsxo7ARtImSdpEqZhSk5M2WUO5LnAcRafTacaD6/iWTEtsdKyVCVHNPFRozfWbN3niQx9iOJpRlIJOd5nljSWi4QG6gNFwxmw2odPp0er4aJ2wstpH4lk9+sozRikHqVQlm6HQpWmiaAMvsMRXkRGGPoHfBpTN8PACsjRnbWWdOI4py4TxeMKNWzdZX1+n1QpJ0gSM1eg9PDik3W6TRBOELumv9BmPR3h+gOP7eL7PcDim07Pa/WfPbLLcW0L4IcY4hO0OhTb01zcpSnjuuZeYjKdMplNmUUKU5CytrIMUJFnBcDTASMnSUp+1tVXKKmJDCGEBailohSFJGhFPJ0SzhKXeKu3uCsPDPV598xq7+/scHR0xnU34Ez//RbbOrnPr1rtMpiPOX7xgzZLTlE7HypKEYWABcSO5cuUKfuBxeHhIUWgUAj9o0Wp3K4k7xdLyGkmUEAYh3XaLyXjE+toaRZmRJhM++Ykn+Xf/nX+dv/Ff/XckyRQv7PPDHz7LhSuXuXjhAtPBgF/4yhf55je/xX/5N/4a//Kf/wucvXiew9GIwWjA69f2ORp/ky8+/XE+8ujH2bn2OqNbt0nynDia4Xoesno52NzcZDydEUcpWQ7KaSOVh+PCynqA47dBzkCGHBxNuXbtFu+8c5XROCIvDIHfJi0MjusTTWNW1tdI84zRbEy3s0SaxtZUXhdIKZhOZxweHXA0OGJtbQUAP3BZP7PK+pkVytJK8pQGhHD5+je+yf7hgM0zWzzz/WcQC/Mc2EjsOElRjksaT/m3/1f/Nmc3VhgM7rC53iGOrH+Oo1wcKWh5bfyixJQl77zxOnmasrza47XXXuVwcES32208Fx568EHyPOf5559nY3OTg4N9RqMRm5tboAVlrsGHrLDyUEErpNvtUhSWFLEkq64FuhHQkCJ1NHaWpqgqWxCsNN+li1d44skn2N7ZYTgconODrwLi2RS3LVldWWG4P8Bkkv/lv/mvsbZ5iVmcMjiYodsS301YX1vmc5/7DP/DP/ghDyx/giRqY8qIaTTiwYfP89KLr0FhCJRHS2lorzJVHQ5HEWmuSdOcLI3oLSVcurxCnGp2D4cI6fNzX/gCSZpxcDBg6+x53n77HeI44fr1q0iRoouIteUOy90eV9+6yniyS5YlTEYpfqvP7vY+ftCmzHNafkDL9yhNQTSJmMxK4lwjnV16vSWm0xm7eUIRz+h22riO4uBwQH91le5yn6P9PVzHsZmMgYdRkjNnNvA8n9XVNYSQLHd6ONKj1e2gXMVoPARH4Pou0ThmuD8kGk0ZDQ7Isil5kbB/dMDB0ZDheMpkmpBNphgpKaPURm4qQasVEMdTTFkync0IWnae9KRCSQdPeUiFNWOXmrIEx5GErm/lxsrCepGVkMYFfie09lZCUBQ5gWiRFwWPPfYYQlpPsXZniTBoMZzOKDC0gxDpOSRRQpymFFqjhEIp+1JvjeFzcuXSaffI8xKjM5Z6fdqdDo8++hhnNjYQGC6c2+Lq1TcQImdpucvLL79KGCyR5RCnBWHLQyeRBcTRKNd61kijAMFwOGmkQbXWjMdjyrKk1+txsLffPBM5rsQRijxPWep1yLOc2XTKZDLh4PCQxz78OI7jkSQJ8Szm5o2bDAcDPN9HKae5hqy5ur07lkazv3/AdBbjKEU0S5AKAs/DEZI0i+3c4ro4rk9ZyaBpra3cYi0NZawkos3u0pV3W1aBARKBIQgCHCkJO12uXLrMbDpleWmJ2WxGUvk2dTq95tnMvtTQZKtY+U1ZecqZZr1a3gxoAmV837eyq7p6SROyejarXumErmQc5z4mKGn108sUgSFLMtb6y3ztT/8S/83f+btsdpYoSoNSLYoyRSqXwWjEb/3Wb/Hn/8yfZTg7IggclCtxXNNIiZVFae/r1Quj1vNX+p+Vn5UfuZx44W7ey/84DK0f8wv3YtBh8+Fe/SC4fwkyA6YQFJGLKRwmuuTAi+m0rY+YwhCKDBdBbY0lq13X3oyLYORp2P97zQaL2yzi+seXv5f8y0lCZAGAM8fXqcH1eslcTgdKI8m1ItcOWemQFYqykDbYqzJaP9b3NZghF/Z+7EDEvBEnfzvWjvnGpurMuaKGuAtMMYv/LXbsvTpZgVGWGBGuRngljlcQeDldL6XrpQSqwBFFExx81/EstntxkanbPV+9+SwMDhpR9c9dMc5aUtS6ng2Eebye08bv3eD9vUaWOf5xkRxZgLHNQhfXW0hVIrXV9pfCIKVBlhYrqNfRFap5muTO/ZT3JiF+lErr+/797UucGJfvB1sfv7bn294loVXJs3nKEiJ+RY54ssATJZ4ocamyk9Ao5lkZi8TI4nlqLHzE/NI72a67j2cO4y/WafdrCZAmW6UiZubZInohKv8E6C5+NGrgXu08+eVkrfVRGGPJksUWLYL3zXrNUVNNEQtZJ2aeeVIaSUmVcWLs0ZYIu8zIioDBfl6A/E8SMO9X5lPVj3bDfK/skPr3plcWzv1iltpp96V7tLT6VBNPp+2p+r3OLG9G7uJaJ8/ifMTMlWWsF+Ndo6iaiOrjMUYu/LTYguNn/vjdk/mAu2sHhnl24uIsaz+LSmqx9nMxTefVY+rEzHwS6P9xPpu93/7+OJAii+XYjc2ceNAxVZbO/Vf3U02MKKWaqPBWq9VoMh8c7LG8vMz6+jppmjIajRpt636/35gg14RCu92mLEveffdder0eruvSbrfxfZ/BYMDW1ha+HzKdThsCpPYmqWWq7ty5Q6fTYXl5mTAMGwJEKes74nke586dYzqdNvJXtfxDGIasra2xu7vbSGzled4AHjWwX9ddFgVRFKG1bkzWP/Too6Rpyng85OjosAFELl261EhNAMfktsbjMZubm/i+z87OTqWxnzMejxHCSochNP0V+1JvtOYXf/EX2XzlNb79ne8ymoxpt3qg4NzZLQbDEVmWURrNdBIhsBJVdq6wTKnWJTU7rDUgbESkNhrpGKR08JQkS3IbNaptRLQ0kKcJriOIpkNm0Yzlfp92q8VkMiVLUmbTKUXgc7CXUBQlYWjlSqjMhAuT44cBSrk4rktRlsSzadOXxhiMkM3DjjYlptQ4rsu1mzdIkxl5FvOrv/xldq7v4vsVwCMFS0t9jIE800TxDKU0wmS0291GZm06nWKModWy4Fur1WoINLAgTRiGONJFKYc0TXClpCwKOp2A4Xif6XRGEIa0eh5bZ9cIWwFCSUuAedanRpcFRZmgPIlw4Gh0hHQEYdvH9QPb/0JjhGFlqU+3v4xwWyBcisIgHUFZZmzfvsPrr73OdDpmNp0xncV0usu4LVGZvSsQHhtbZ+j1+rhBgFSeJaYcC3ypSnakFYYsLXUJwpDbt65z7Z23yYqc9bNniadjDg93eOOda8TxjCDw+NSnPkLge7SCNvvb+xhTkhcF2TTF8zxms6kdn4CnHEI3YDqZsbpqXaqLwmb7+G5oycA4xlOSMk+ZTXOiaIrjdirj8oBoOOVrv/rrhO0z/LX//P9JNB3j+222b18nT2dsrW/w5v4+P//VL/PD557nP/8v/hp/8mu/xkc+/gl8f43x0ZCjg5R/9A++xeTzMZ4akCIYRjFoQ+h3MLqgLEuC7grbh1PSQrDc6TCeRKR5ShLnpFnOu1dfJk8zDgc/IIljtC7wA5dur0+SpkxGU7xWQJKOKUzG7e13ePjhR3n36hvIXg8hNK5jgbo4juh2O/hBi9lszKuv3eGBBx5g8+wlPM8CoZ7yrOmlMfzu17/OrTs7PPTwI3zve8+AdMAY4jzHd13iPAVd4oWKg4Pb/KW/+K/yl//NP8etq2+gRGEjvinxfStPo4TDbDah1elx7eYtXnjhhcaQ/p1336XdbjONIrQxbG1uEgQBN2/csv4SjsZ1PZBwcHCAMPZawNi5SCk1fxZZ8ChYlN6zUnzz39M0hUXC3HNY6vV45JFHuH3nDgcHB7Ze7ZKk0Gn1afma7etXWV/t8+/+lX+PBx94iBs39nCEJJ5Kstgjj0GIhCee+ALPvJKS5AUKWOu5nD/bIcsV+4c5jzx8mUvnVhgOthklGXFRohxJv9VBljlKwdFwwnkUm2cv4Fbk/Vtv3SSKU1ZW1sgzQV4IwvYSUrmMxyPG432e/uzH+JU/+Sd55cVXeeGl3+cXfvlLfPs7L/LGG7u4/hLTaYIuNAcHuxTpjCyNoZSMDscUSEqTcDicUWYZrtR0Qo9pnCK0wQ1Crt/eRewe0WoF6DxGDadWoknCzes38FyH/cGh9Z4qwREKrxXQ6nXpr/Tx/IAwbNHt9djaWCfYXMcXD+I7Dv31Pu1+l2k0YzyeUmQlaZKzNxwQzyKO9vYpdEmUzEjylP3DPcbjMUmSksxS8jRnOhmDFtbnwwiEC8IzFAgkbRwpyKIUp9tlOkkJwg6O76AzSV4qpNPGdTpkWcQsilgxBs/z2N7eZn9/D6MNy/0lWoGVIsySGKMLHKWgylpxHVHJOAa4rk8axyRJxic/9Sl+/qtf5Z1336XTbuF5Liv9Ne7c2WYymfDv/Dt/kaPDIUmSsHlmi1YQ8tobU9I0o9/vc+nSFu12yHQ6IS8yXOUhkoS9vR3ASpVhYDgcWpktx+Pg6Mhq2mI9OFzXodBWVvLihXMEfou33n4Xz/cZDMbWy0Ypoijm8uXLnD9/kVu3buF6Hn4QoIuSIs8pC4c8L1BKMhqPyKssHT8IyPOU4XCIAJQDxpRkmZWZ0tpQVkEk1i/G1ieltJ4guZU7lQZMHVnlWIm0mpgtR0POnDnDq6++ShAGzbVuZU1N85wnRCXjt+DXUfuJWcnQtJHPWpRcLctaUstUGWj26br2bDPGVJ4jNBJxQloBCd/3KYscYQxplpDnGb/yp3+Z3/zt3yHLYhCOlTxzrTSZ0YKv/963+dov/SlW19coioSyzEmSxD4j5FYyUIh6JmNhjlN/FI/UPyv/f1AWAcu7XoD/OL7w/lGWkxjvvfa7iPCKD4BRGCAXoAXpxGPXWyIXkmjJJ+u4FC3FshPRlQmhsPONzQqY65TX5+k4aHgcujnZ7PlptZ8W5WQE4lhdJ4Hyk3zAXbIxpv79hBBOBfgstkEKK//kVKBp0xZzXKKm2aAyq21IkZOkB9U6p52E4zjUQkfMgb35Ps3pJ/E4MjrP1DFU6HG1QALKgDJIVxMEOX6Q0Q4ylvyYjpsSqBxXWE+FxX55j90tfJkfwGnNrKO2re9InT2ysKYWaCntO6yRVvp2QT6sWfMeA3me6XAc/JyDxAvnRxwHpefODsclhKDOrqzGt6xOtaillxS5sL47ha793xZJkveeDOYY4/1dnR9EsWsRv5wXc4/lx+eR08/g4noniZeaaLCkiKp8RZSoJbQqTxFV4Il5tohqSJGTUlULpEgT7V/vf+7BcLzh89+PA8YLnxu5LBAnMkOUsKRITYjUJM3ca2eRWJn3AVW9791fpy3/YPTAIvFhp5LjW9fz5/z6PNnKZsOFa6KS40Icp6QMFWkiF36nIVOOr09DltTXC0398x44lmlyghy53554b2Jk/ltNJDRjqP53jznt3rXNP9/t91L3VS1hRtN39fHU+z9e12J/VBknmBP1HycbrP9xdY1VY1Iac9exyerv+5VmbmxuujURcncPWM9j5gP/2Hz1PmzEH/mz2Ymbw33tz/wY2vX+TbjrwaPKZhQL/fxBmvlTTYzkeU632wFo9KOllKyvrxNFEYeHh002hBCCbrfL9vY2YWgzTWpN6jqrYm1tjaIo5pkD1Qv5rVu3KIqSM2c2McYwGo2ozc+DIODMmTOsr69TFBb4TNOUvb09pJR0OtZ7IY6ttEgdtRzH1kPCGMPt27cbma/hcFiZxnvV8XUbs3RjjCVUspwkjun3+6Rpyvnz54lmVkLDdR3a7TZhGFZRsAWTyYSyLJvsmNr4uNVqMRgM8DyPTqdTEU0xcRzTX15mNpva7JawVeltF6RJxEMPXKLVbvHiiy9y9eoNup0VpBT0ez3y0uqfOlIxmc7QWmJhEyuLUWIjQrQ2NlJXCoRw7IRXgkbjKGVB/cpcmDK3E12RM5qM6fU7fOFzX+ZXv/Y1Xn/tDf7hP/wfyX2HrU0rAZKXupLFsKSULjTKdYmSGQabXZRPp9Y3QKrGZNwYQ2k4pokuhJUNy7VHqR2effZ1TFHyhZ/7COtnWlBY0/NoWpBlBf3+Eq2wQ6kTTCmbesFGpBpjiKIIAwRB0BB7spJGU8ohT0viKEM5kixL6fRatFoBnW4LN5AY637N2uY6WVYQJwnLKysoqcjLEoHA9QNmsxmtbstGo+mStNCMZgPa3S6zOOHCpUv0llcw2sHgkSYlrucTxznf+d4P+Ht/9+8ynY4Yj8cUecnS8jJxmhNnJa3uEltnzuH6XdvnhSaZJkCGkKoh4PI8xVHWyLYsDFJNWVpa5ROfXuXmjesc7G3T7S9TFCk7BzsURUb2u7/HweE+v/xLP08YtJlNc0xh6C8tNz4y2sjGqDnLM45uDVjpr6KkQ5qmCKlI4hTPDQgDj3EUk5mSTrdNELiUpuDg6AjlBgRhDz9Y4pVX32Z5aZ1/81//N7h+4w6vvfkmb779Ntu3Z+SzKetrG7z80os89uijrG+d5bvf/gYvvfwiX/rSz3Nu6wJ5VJBPMn7rn36HdmvCX/pLv8bqSp88i5lNxghZkuYxP3zxNWZxxMHBkBs3vsVgMKHUBmNcilySJgUf/ehHORpuE/o+nhfiez4bG2eJ4hlJeptWu0W3a6Vr0iyj3fZZW+sQRzP8IODwaI9WGOI4hiyLODjY59Of+RSXL19p5p9ZZI3MPcdnZ/+Ab37r2wxHYx557MM888wPyPIcoawmsOu6JMkM4TpkcUaeTPjCFz7Fr/zpX+D2jbdRjkYYDdpQ5AVohZA2q2AyG9HqdHnxhZe4s71NZ2kLISVJHCEcxWw2w3FdDILbt+/gKkV/eZk0T8jzHM93Obu1xdHhsMpEcWxGDPZmV5PVtalzQ47o2ox8/rBhiqKJVi+KHNcJePKjH2U2m3F0eNRk8IVeSBi08ETBeO82D15Y57Of+xSvvvJtvvOt3+L85gOsrz7AWm+LpFAgfLJkRGupz6/9K/86//B/+jahKVlfUXQ7ip1ByYULj3MuKFnpKLKsTWK6ZIeGPEvw3QA/6BBNJ0xmCZNZTFHC7ds7lEbT6/W5ePFhLl64zO072+S5JE0TgqBLqxNyZmsV4Trc2d8mymMyk5HqlNvbeyi3w8raedL8EKfl0l3e4NL5Dbb6yyy1O6SlYRLHvHPtBgcHh6ALJoMjsmRGkcQIYYiznFJ4lKVgejgh9DzSaEar5SOU4OhwgCcFStnHD2UEoe+RFyWDo0PSJCZLS3zXRznwotT0221W+mscHA5BKlzf49y5TW7cvo4nJGGrTbfXx/M8tra2CMIQjaG31EW5CuUoomhGWWryLCdPc0wB0SxmNovJ0oij4R5ZocnzElVqknhKVhYIFdNqL6McF60NszjGDQOmMxtosLO7z+bmWYyGGzdvYkqN73norCBwHZIsh6LAESCUQZcaKUGXdfaI02QfPPjggzxw6SIHe/tcuXyJjY0zgODNt9/hYG+fP/fn/hVAsrd3gMBlcDQhSzVh2EIqw8MPXyaOJ0wmE1zXoUTQaXfYvrNDlmYYbSWgSq05PDyk3WlXQR9j/MCv2pJX5IhL2OrgeAGT2Yw0zYnSHCMkQRCidUnoh2RZwe7uLmmWoTyXeBZBGKBNiMGQpgntVpsiL4mTmDRrkVVeaq6SCGGzQ2pywhIW+ti9sM6KlVI2y4DGg60sc4o8J62uXdd18VyHixcvcnBwQFGULPeXSZKkIi7KxkxdCOvBUj8n1vu1/hxl43Oy6HVSZ5AZYyU3pbGZvLU/W+3XZr1JVHP/Mdq+ypY6t88xusR1FXE8Y219nT/ztT/N//u/+/u0l1YqGa+SKElZ3zrHzo1rfOMb3+IXf/7LZHmBEAa90FaDPR4pVfXSZgUqPhCq87Pys3JaWQD6/9iX92rjB41sPI1JWMDaT8EzTu+rewEIC/ULBKIENGQzjwPZY5iHzBKfvLBSQpv+iMIbY1RkzZKxQGJTQ2UWKxcaMAfjjkGKc8DvLl38GmRaxGROAl7Hl9GAUOKuaMuTgOFiB1riza4hsaSIJwocUZ5o8QLkLqA6SEs4LPZr3ejFv6f1++K6iwtOO2f3Kid/XwAm60hfS94YhKMRjsFxC1qtlF4Y0w0S2k5G6GZ4srzLL+H0uu3BmFNXqtYRogH7avWV2ojbyLLq7zlZLpFWxtJUsoymAgybXZ8G9M6LBb6rz+9x7TVnUCzWWm9TwZUNSFmBqYZGTkZUGv81ICm1pCjtcZRG2jGr6wpPtva9L+57kRbHanjfue/Y2TmVODh9+SnfT93XCUi76fNayqfqI6krGS2NL0tLisgCV1qTdUuc6IWsDBrgur6u5eL5WTi69yNu7JxQEyCL4Hgto3WcjKl9TRopLU4QImJxvrmb1Lj3KTlJIN3PNse3Pb7k7hvBfEa6iwI5vUqx+FU095CTtcwzJerMkuOfG4LE1PJ3c0pLN3P3aVTXQv2VbNex+8B79Id8j1+PH/v8nB1bdtdR3r3lfG8stJumnwwCFrJt6uM9Ljl2/DgW61l0Mm6+G47Jpd01a5jqvkxFFJo5ETIfpwtZMafd30+ZimpfRVGPg3pCF/OMSJs1ojFGzrMYTvhd/diLOfHhR3m3+Em1v7kG/3AJpZ9qYqSWslJKkaZpY0buOJJer9e89AZBQFEUjTl7/VKcpmkTRVgbcepKyqE2KPc8j1arhe+HSCm5c+cOnufZzI2yRCllZX6yjE6n00Sx93o92u02UTSzZsqV4Wm320UIG1UKNloxDENaLQt05nmO53lMJjZa1HVdlpaWGuPY4XCIqxx6vR6tVovhcMjt27cbUqg2ma+9MupjqomSWkJiMpngOE5l7ppWsl8FrVaI6zrosiTP8+Z4dFHgOQrpKFw/4MzWFitLPVaWXuG1194iyS2ovrxkTaKN0QglGY+m6CxDG0AqpBBW+7vUSGWjRpWSuJWutta6SgE2OEqhi5xkFpMmMVcuXeLXv/BLfPYLn2JjYx3P8xkc7NBpuRhjgVUpHUKhsOoYNmOlqMyX/dDDCMFsNmM6naLjuBkLru8BotFGr8eXQFBqS5aNpykKj+deeJvl5Q5fXPsInusTRTFB0GWp16IsMpR0UNJHuPOxEQRB4wlTliVZFTkbBEFD6mVZRpbNUNKjHbbJC2twjGgRpTGD4RGO53Fm6xw3b9xiFudsrG+STSw5U5SG2SxBa02n08ZrLYMKcR1FnCYkSYp02hTG44GHn8ALAjQOpREo4eD4Hnmu+d4zP+Dv/72/x+7ONnEU4UiFEzpE8ZTeygYPbZ0n0xAlmvF0aqOzhQSUneyLwt7sykpuzXUosgx0SRCETMcT3JbDxQcuc2Zrg5vXrxL0llj1XEZHe2TXbhMGAU88/jgXttaQuDiOJJ5GdJa7CEeiipLCFNb4uMpEmk3GdLs9lBAYrW22T2CNwDthSFGkCErG0xl5WeCGIcoJGc1y3n77Gjdu7hHFOQ8/8iF+9X/zKziew3/21/8f/E//6H8imk3YyXI2NrbY3d4hx/DFz/8ct+5s88/+6W/y4JVHeOKRj7K+vEE7DJjFO/wP/+DrXDi3xVe/8gVWN9bIs5h47w4/fOn38XyHF198icHRkP7KClI5+L6DKTT9tRVK7MtOVlZZGBLeefc6O7vbLC0t8dEHH2Vra4t2p83u3i57e7d48IFLHBzs8dRHn2K1v9pET7uuyyuvvEJW5ASBz97+oc1cCttEk5i33nidb3/nu2ydPc+liyt8+9u/T5rlSMchzXJcRzFLIrQuEFKgFDz48GX+wl/8cyyvdK13gfTJ04Q0ywnCHkVRAg5aeywtbVAWiu9854cYofBbIXkl3ZfOMlzXx/d9olmM5ziWaMtz2q0WR4MBRVHgOi79fp8oiqi9BNI0RTnWd6ee+2r5RLAR43XITU2QyAro1KX1H/rwE08AsLOzgy5LPMclLwr8QFJmE+J0Qq9j+JO/+ElW1rtkRYed2w4333yd5777PBubD9FbO0fQXWJlaZnpVDHSkvUzZ1h34cp5RZnFvHttiDR9CjPlzvCIa7sjso7iaGjlBDzVBq1Y7m+RFiM0AuU5TKIpZ85skmYF2zuHrG9cZDrLKAvJ7u4B166/i3I1BRM+/6WniPOUmzu3UJ7izs42t7d3OXPmI0wmOaOxNaM+d26DTm+TlY1NovGEwXhCqiXCaXPh0iqe63Dr+nVCV5IlEZcvXeLmndsEnTZpXlDmGYP9fVxpKMsYxxXEkxFtxyPNE5IsRVb311TnSCUYHhzgqgBDgjAppc44EoY35TXavQ2WuqsMdg549fV3MCIHcqTRhMpHIyiEwBGKlu8jAd/zaXdaGCWQnoP0FEEQ0usu4bs+veWQttfnoctXUF5AmheEjsRRgnE6awwWpda0ApdBNGA8HVNMM/tg7Qja3S4CyVKvx0eefNLKt5UaoxQS8LpdMAZhDK7r2YCEwGN9fZ2trS3WNzZYWlq2WZmBb7MxJ2PefvN10jRl8+wZfv1r/xphu8Wd2zfJ8xJHOcRxQhC0rZeLgslohDEFk3SGFIJet4uUkr29XZQQ+H7YZEVs7+6ytrHBLIkpDZTaIBQ4nkeWJbTCkG6vx3Qa4fsueWFY6i/jeQF5Yc3V83SKLkuEEYRBiJJWwhIDpiwRgC7tNZVmKXv7+3TbIYHnWf+xIkcpgVI2s9ZxHLKswJisISOktFmcdeaDlLJaL6t+t+envj9HUWR93bRASsnq6ir7B/v0lnp4nteQF1LWwQgaUz1P1MEo9fNWmqZNpkkts1pWzztKORhToLAZb3Wdi20sirwhdGqSRTkOBoGSlqgtSk2eJYxHR3zxCz/Hb//O7zGOMpRwMUJS4jCbZbTaS3z7O9/lk5/4GJ1ui7JI7fNsZgkvR0lkNd8JYf1rClNS6Pt7qf1Z+Vk5tZwGNP9xLe/3YruI8t3Pdu+FsZoTP50A4o+9g79f/RU4Uss36VxSTD3S3OUgB5lDHPscdTtstDushWOWVUxPJYQyXwBuquhV5iD/IjGiTSXTgiTVDol2SbRHphWZdii0NeSuQbc5UFpH6+vGzNmTBaHMCWWGJwsUpfUrWAwuOXHwdVtqoE03YIUldVxREMi8MYSWtTdF/U+KuYpIbWRe7+M0UuS9gJDTENZjEej3AlfF8XNvFn+ZH7GQFqSWyqDcEtcp8L2Crp9aUsRL8WVhM0Wq82dONuGuXSxGhh9r+GkrHzu8OhrfpgHMwd1SGAotkcbYyHRjjc0XCbJ7VEsdfV2D+Qv01QlA+/hvd7dv3tfH+kBURBO6MkIWCGU9NBwtyaWVsy61tP9EBZTqk9DsyYuVZn/v13H3i5WdJArr7Rf+nFb9e+zz9HF70numuUYr8ssRVkbLFWXjLVJnizhCN9kZxzM8Fsbtqe0+Tsrc61jmWUPmWLski6TIgsE6c9P3xXXuRdAch/jvXewxfLDMkOPH+15lTiWccvUd68sPWHFTu+UH5wSJEXMPk8aXZIHcgDlhYsycEFkkQzixTJt5b75/T33AG79Y/HhKf5xS/UkC9limS/Xdkr4VHSFqWTLr+3tX9k29jVkg7ZmTXLY+W7k4tp/FtotG3k1b3qIiR46P5dPmunv2i7nro/0uqB4C7MOADXKyy/Sifl2TbvITYBgWd2ma/3607X/c5bRnv2MnzRxfdp/lp5oYSTNrlu15Ht1ut/H2KIqsifQry7J5sTXG0G63rWGnlGRZVkkjqIYcSZKk+U0IK3mQ5zlxnFqZI8dpskJqQDtNU4IgaDIzasJGa02rFTYv4Y5jpSpqwqKW2AqCAKUUg8Gg2b+Utk2j0YjBYEAYWmKm3W4TeNZU+fDwsPE8qYmRLE8rnf159GVN4NSlJofqNtZEUE2alKW2z6tS0Wm1KmkZQ5qmTKYTzp67wN6dmwSuw8c++iQbq2u8/c5Vbt66ze72LZZXVthYX2Xv4MCCkxFkuY3oFFW2g5XPkAgxJ6qksHrwYMizmMkkQpiSDz38MD/39NN89IknOXt+g3Y3YDg8JM4iLp/fYnO9z9tvXSXsdHAdS5DklJRaAwqJQCiFRlEagxASx3GRMqMsq4dXDUoqpAIt6ynXtqWWsphGCUp6FKXku8+8wKMfvsKlC2tk+RhHppSRBWI1OX5go15rwqMeX2maNplI9XnwKg8SK18WIJAUZUKrHVKKkFkcg1QE7WUms4irN3a5fXvA0WDCW+/sM53GxHHGZDxGSms8vr6+ytmz51hfX2NtfZ0w7FAIS7isn1nH9VukuUYbbR8+y5w8z3j1ldf5O3/nf2B7+xaz2dSSRMaglMcnPv0xNjbPMYkzXnzldaI4x0gHJV1cx0OqinEXFrgMQ59up8NKv89yt0teZARewDSZcmtvm7IsCAKPtY1NditZu15/neHhDm9fu8UzP3yBpa98nisXz7K/e4dSa4ajEUErQEjI89JGihcFfstHIEjzZD4XSo3rKTAKz3WQQjOLJhgFhTaEnQ5xJri9vctkWtDtrrG+HvKhhx9m60wf13X4K//+v8ftm1f5zre+z3JvlVvXr3PWwLs3b5Hpgk8+/TRrH13j1s07fP0bv8W59bM8+qFHObN1nslkyPZexNe/+RyPfehB+sttllfPc+mBx+h22/itZV595RWGoyFpGtMC0iSmuxLgtHJaSwKjC4osZ5YmBJ7PxSvnKPKSNE954aUXODw64vBgHyULPv+5z/Dxjz1Fr9ej2+4wHI6YzWbMZjP6/RWmUczh4QDft6Tu9s4+z/7gOSajGVeuPMhoMuO5l162pr9SUeoSUxYYJQGNciR5nnH+4gX+rX/rL/PQgw+CLknTnLDbQhKQmRQhHBwFQrlorej2lnn2+Rd49bWrhGEPISVpHFFqg+N6uH6AFAJdWKHhorDXiee7dNttZknMnTt3WO718T2PUmsrW1SWICVFJRPYFGPmL5p19HVZIqsQLEcp4iTh4UceYWtzk1defZU4jpv5sNfrUuoMx7Ng8yc/+UkeuHKZ7f1rXL1+k35vnT/1y7/E4f6Yg+GYl956nvE1zUMPfgw1KtgzXbTOubjp0w0LZrmkKB3yKCIxY3Q2oZAexg3wA0PgGtAFvf4K41lEltsoe893OHvuDAJDt9Oj015DF5rD/SOKrGBwMKAVtBjHR3zi6ac4d/4cOk948+03eejhLV5+9VVmUcRsFnP71i79lXMsLa+xdfYyvaUer795g9l4yuFwTNjrkGSGJMvQZUxpfKQb0vZ6KH8ZL4xYWdsgzXLafsD5M5dodxw6HY+WJxju7dEPO0wnYxzPoTA5pSnY3r3D5ctXMIUmmyWUWcpguEduMnIpeOf2HoVoMy0EhMso6VLmUygjdBaR5DEIKIXNBDSpi9CCYVZaItdAhqGsxqdSEoXBVYJA+fiihdduIRxJ6LmEoU+uDEHb3nMDqei2rVdKb6lPZyUk8D2EJ8mygsAP+OQnPslnn/4snheQ5BlB2EYoUd2nJa6S9HpdQj9gqWOzNYMwaKQ6Dw4PeffauwyOhgglWVtb5aNPPcmjjz7MZBJx88ZN4igi8HwELmhDEs9wHYnvu1VwRgchlrh16wZXr17l2tXr7O/vY4xGKkFpNKPRiOl0ygMPPsiNGzeQSuG4Vh7KoHFcGwgxnc14/LHHePfdd1lZXUO5ikJbacui0Oi8oNvp0Gl3iaIZRkCc5xRFTpEXlJW8pNaQ6ZzDwyMunDtLoS25kKUJrqPwXIXjONSeaVDLUInKj+W4jJXruvZatRqbSGn9VBYJjlo2a319nd29XcbjMevr69WzX2wlFKVEa3ufr8+Rfa4pG+Kkfj6q66yf9WyWiWy+W+813TwfyUo2q/b7qD1IRA04aW1lJLEyfUWZsb66zK997Zf5r/7rv2Wz1ZTCdXyiKKMXdnjrnWs898JLfP5zT1OUBqELfM9tMkeOZ72JZl8/Kz8rfyjlJ/li+0HLaW19P6Lifuo5rY5TltUYx3uWEyB+DQqLElQiIBMkacidyOFw2GW7v8zqypj1pTHngyPO+wP6zqyJArcgYyXAcszMFzSSwkhy45BqxbhscZh3OMrbjPOQWeERly6FlhRaVsDZHFR3Kt+CtmPNwntuwpozZc2d0FMxocwJRF5leyyCpPNDbUA5am33OnrZ/uqJglBm+LLAkWVFxjCPmK1RLFmTJQudffJEnYZa3vX7CQD7mKzGgrzG4vlahIgXSZGqvsbrQRocVeI6Jb5b0HIzQjcndOw/XxVNto+pTr6AuzJuFstxkuL9DnD+q2HuICKEJUdq0LrUqso+tEbsBl2RY+IYeFo37Bh1ZI63hBrUr6OpxenXwGJNJ4HTmmA4STzV9cgK4HekwNESV5UUpSKvx21NkDRtt2BijScevx2KY/t8r068FyB/jDxYIDX+YIma4pRPx9vYkCJVH9cyY0pa8tKt/ERcUeJWhImqPEVqYmLxuMXC9+NNP36eTu+nWm5oXs+c3DieCVJ/V8yls2qSZDG7xC472Sv3R3bcRfTcZ7kvEP8e29Xn4g9aFs+3qW4Ic5B/YfyKu0ekObb87uyJxc+LZMnJsoh53+vx8b328cEfOe/u+WOESPN3/q+WHCsRlEIukP4LWSTY635OFp1CftT33Wqv84ybhfNazZvCzImShhQR9TVYz3nVNXTPTli4V9XrCVMFDVfEjaizVKq6pT3x5ied/X2SVDht+QcpP87DeY9nv5P3rw9yOD/VxIiSqgH2aw3oOnqwliiqsyXa7Taj0ajJgGi320wmk2MESE2y1B4ftQ+JjTa0ZElt2l2vq5RqohEXjTs9z6MsS0ajcQOC10bueSVpUcsNDQYDGw1ZRTtb89Qu47Ftn+u6bG5ucnBwQBzH5FnGUrdHr9cDoJbMStMUP/AAw2w2a46r2+02L9d19kwcx82x16bzVi4nQUqB43kWoM9zyqpuYwz9pSVmkxGB6+D5IWmS8sjDVzhzZp3d3T2+94MfsL13hywvUcqh2w2QCuIkJ01S8rxAIKqXfpsVUpYFyBIpBWkyYzweEvgujzx0mS/83NN86QtfYKW/xHg0Jk9nRHpKnkZkWYE2gl/72p/mG9/4Nteu32Jndw/H9XHdANcLMFigVeclQgl0JcXTCluVDEgCCBzpoJSDkLJqW+1VoC2jrSWFKUjyFIPi5p0R//SffZN/7S/+GmHQpszTCgRiIXtCIqWo5N5ME3FaliXrGxvked4QInO5kRJjrMF8kkuSLKfTW2I8jXnztbd5462rxGlBlhm0lmRZicZpItOUEDiOz43tKfuDG+T5O/iBz/LKCkEYsr62zlJ/HylcsrxgNBwB9iVmcHTAC8/9gIO9XXa3ty0obkpanTYf/+QnccI2127c4M7eEUejCY7jour8WsCYEiMUjnRwnRKhE7KoZPnCJk98+CEeeOACyz2Hg+GE3/vOC7zw0stMMiu/cvbsefI4JU+nrG5sMTzY5rs/fI6tzQ0efOAB+utniJMphUnR1bVvQSxFmiRks5h2u420wvaMRiOkErQrHXvltwiXQsJ+l6PBAePJlPWlVbbfucNLr7zJ+vplpFIsL6/y4AMXUUJVD3MlP/f0p7j61tts395lpb/O7VvXkFogteG5HzxDu9PhypXLtM+2ONrf5Td/+xW2zj7E4088xeWL5xlNI1594x18VyKVwXfb9FfP8vAjT/KpT/8ck+mI/YMhUkGrJdndvcXFi5f46FOPkqUpg6MBcRQxHo5pdzo88/0f8uzfew4pFWGrxYXz5/nMJ59i88wqS90lXMfl+vWb3Lmz3VxvjuezstJFG8N0OuP5F17krTffYXV1na0LF3n99Tc4PDrCIJBKkScxUgk810GXGa5SaJ2ztrLMFz73WRSS7373WXSW02630UVJWWhMaQj8gCwrkcpFG2i1O/y9f/g/MpgkdJeWbBS7VKRpTmephZCSPM1ASMqiREnBZDKjU4HMWVEwnUwRWiCkBVFrGUSaa6do7gta60ZGqyalZTUXog15luMHPk8++QTbd+4QRxFK2XuJnR9tptxoPKC/tMYTT32O0ig2Nx9EyJB/8c+/zni/5MnHH+eJi5c4/9AKN/ZGRFmb7aOUmezhioLNVYnnwNXthDQWdP0WOonZ2d0jWb6AMZClCVJrltp9yjIjjqY89PBlet0WV69fYzYdcu7sedbXNllfO8ebr18l8CSmdDl3doO8jHl87Qpf+/VfwHVT/tk3v06322bzzCYvvvgsH370CdLYJfR8Wn7A+soqvc4SUVzy/Wde5kOPPMrm+TXCTtdKq7kOaRTRPhvQ9j0C17VEpNPCawW4SUIymrLSXaNgxmQ4IadkejQm0hPOrKwxHY6Z6ZgLV85x/Z13eej8JdDgGPsCtzfYY3VrnQzBzmDK7lHCLHco8BBAmUxJJwf0ex5H+9scHe2ytbmG5zgc7h2wt3PA2XOXGUcpw0lCXGiSLEPokjKbYrIIkybEZURUjEl3M1SgKApNYQTSd5EutEIPoTU61xSFwPVCOkGAVALl2fu67we4yqXT7nDh/EUODg9ZXV1HOBbcF1Lgug5B4DMeDlnp9kjThLzIyKvMgjAMeeSxR/n85z5Fu7OE79sxdnR4yHAwRAhD6AfkhabdCSsTccl4PKbdChvpu6Veh63NLfrLfV544SVmUUR/qUucJCjHeqEopWi32+wfHCCVRCpFUZYUpfUEQUDYstmLRaFZXu6T5ClRFFNqjZAKqQQHh0eEns/a+pr1unJdCm2v8SzLCf2A6uGDWRxZE/qyRDoKXwQYXVQZuaIKANAoJZvMrprAqAmROpClvj/WWbae5+JW3ieLxumdTofV1VWiKKokxtzmWcxmjxgrw0l9bzINuVKX+hksy7ImY7h+nqp/rzOHF/8GQbDwFFpWZM1cEsw+V1nDdwPMpmM+86mP8+3vfJ83376G3+pS6hLXC5nGMYEb8PVvfouHP/QwZ9ZXKi+zHMdRDUmkdVGROtI+V4iT8MLPys/KfZafJiLkfsoHfeu93zru1U/vt68FUuQ4wiQQGihBl4okV6SpR567RFnAaNZm3G6x3+rSD6a03JzQtYSCJ0tcSkokBdaDIdUOaemQFi5J6ZIWDpM8ZJS1GeUhUe4TFy5J4aK1oNSykdgyVNkGSqOkJnByQi+j4yb0/Rl9f8qKN6PvRfTdiI5KCUVOIPNKMud4d9S1lsfAX9sBjigJRI4vc3scSpMpDVKDbNgRahT2WLe971hdAJYXSJa5FJGpsjwqEKxGVReZnROnbv55oY6KFFFS46oSR5UETkHLyQicHE9VPg9Npkhd/QJyfxc4fTJA9/5IkfmWNaBXQ5DVsRpDgUEaaaW0qowLZYTNGqkMoRf1+49nrNDUOG9NDRLbpQ25tQhrnjDPFpxyzE2lppH3UrVnjDDWtkVqHCMppMZZIEYKIy3Js0DwGOYA6Zx9us/J4ET2gWj+W1guFs/Kveo9jXJY+H4XG3SPGsTxvzVIqyoC0xIjVjqrJkRUE+V+fM/itHrh2PlZXPk0GL0Bjxf/NkTI3Vkjqlk2J0Xkie3uJjUWMjTeC9w8cWz3fws7PQPkXmVxfyenij+sUoP2UJGQYvHo3nvsLpIfp/12soaT655W+8lr/iRR+14kyvtRTou/z+utSf1FYsSuVxMj1iHWNGR72XiP1Ib2NF5pdg6Yf9an3MyrhA27tCIsjjtvzYmQkxkjdx3ewqAQltmoaqjIjwWiS9TkSLVfO2fTmLAbsUCcHB8IP75y6k3plOU/Sl1/1OW9ntuq89TMgR+gbT/VxAjQZELUwH5NAFgjcQv81zJUvu83YDRAp9NpCISyLFlZWeHg4KACRPxm/Zqc8DyfyWRMu93B913AkOcpGxvW08T3PXZ3d9jYOEOSxNVLdIjve43MS92OWuqrlr6q/2WZzXZJ0wTfd7l06QJRFDEcHqF1acFgo0mzuJLC8hkMjphOZ5w9u4VTGaiHQUCapkTTGWmaNmAi2gILayurjCcTMOA5LqWeR2UKoRiNbPaBKS3JFAQBrnLQZY4UgqwomE0mdJeW8JRD6isefewh2t2QaRzx/Isv89KrrzGbxRgkraCFIwyiHWK0IY4SO1GZAiNKptMR0XSC40o+9fGP8Ku/+qf46JMfph0GKAHT8RB0wsbGGtPJiKVOiyhO8L2ApW6Hf+Vf+jXyQvPyK6/z0iuv89rrb3CwvUev16fXWyYvNYUu8R0HVzmWLGmVeI7HaDymyAtc17Pm744DCMqitNectNGhUJIWMzQeLU/x4stv8cKLb/DZTz/B6Oi21Q5EUBYKTECSpBwcHDTnupZMAxriTSlFr9fj4OCw8jvJ8HxrOJ3kOf3VM7z2xlW++/3nuHHrgKC1RF4KSi1QjpUQk8qSOiCQjofjuCRZQqo9kkJgdMgkUSTaMIkOya/uIqVCawveuI5EUPDyS89ztH/AeDgkTVJaoQdC8alPf4a1M2d58bXXuXrtFqmuFRoNRhdIR1EUCRiJGwQ4QlLmMWfXznHh/Hkm4yEvPfcDNteWePxDD7CyukSaKRSCm7ducvv2bQTQ7nQY5glSSKQbsLN/xPOvvE7YDmkFHmc211GuqrKsQjrtFq1Wm+FwYAFwXRL4Po4raXWW2dvbJctLoighjzXdpQ5uy6M0DkkOo1nGq6+/Q146uF4L32txcDjgh8++RLfjce78GV58+QXQGf/Rf/S/42/8F3+Dl195nU63jx/0EFqg0cyGR7z43AG9pRYPP3yFj537ENeuH/D3//7fZmNjjU98/CkefvgBSu3TCgOGo5jB8G3C8BatVpulpSXOnz1LlscEoUSpDo9+6MMIIE0SBCVZkrJ/sM9bb73F5774ZZ4uNd1ul6WlJQsyGs0sSrgR71GWJYcHB2RZQRiEtNodQBJFEa+++gbPPvssynW4fOVhojjmez98liRLcFyHPE1J4wzXkTZ7qsiQRpOnGdFsyrmNFbZvXOf2u+8SeD6tMLS6+7lNfzeFxvMDCq0pS4MWsLV1jhdeehXpBigvIE5jC/y5VgarLEukcjBVBkhZ2syR2Sym3Q4JgoA8yy3xG4ZN9p2UkqICK01m/U10UR7zGqnvDY6S9qVOQpGmfPypTyGMYWdnBwEoAUJZUBgskZtkAVvnP0FSnGNwlNBqBWysd/mlP9XnB99/nm898/usLLfpr2/w6GMfJ5UXmLx0yI1rM862NL0wRdPiaKxJE82ab3A1OCpABF1K5eK6GWWZkBcxvZ7hkUcusHV2iTu3rlHmGRfOX2DrzBbnz11hZ/sQzxVsba6QZz4rfcnW2VUef+rDvP7GS7z8yg85PNjll37hqxwebnNu4zwffeIRrr4zYLCf40nBmbVl2kHIdJrw5Ec+hdaGcxceZBZFaOMQhgF5pgm8LtPxhDujXZaXe+wd7NJbWebo6IjZ0ZB9V1FkQzqh4dzSEnmUkhjD2rIijXKkJ5EZ+LlBJTbraBpP6bZDoiQhvbPDyvo6S62QJNGoXDLNoCgUYWeNXmeZzc0lPvqZp3nnzefZufMucZbQ7vf41c9/kXMXH+HW3pjtQURmHCjB1QVnAoUZ7jG89Q6XHjjHnfEe+4Ndgm7I/ijlaJzS7vTZ271NWUboUlMkhsBZQuJwe/c60jE4rpV2lFJRZFbK7ZWXX22yQdMspdPtIh2B7ztkRYEnBWfX1vFcB9dT9JaXOHfhPBcvXuQTn/oMvh+QpBmmBLThxrXrTKdjLly6zNbmJZK0ZH//gPF4aJ9PWm0cZYMTlCNJkhSw3ma+b4MqMBK0oCwN169fp7u0RJrlpEmGwAZMSGUBMUdKut0uKysrTCYTjg6PMAbWVjcY+RPrRza2f7WGNM2ZTqaUZYHrezgKkjShq1sgJUmW4ruKOE6YTKesrixbElJJhHJJ8pwkiQm0lbUCSJIUpSRhGFTEh99kyEZR1MhkRVFUZVr65FnaXNO1BKpSio2NMxwcHhzzkas9RKxUqV4INpj7g9SyorV86CJZoiu/lvpZSDV+REVTb11XnUWitcZ1HPvslSc2mAJjM+5MReS2Ovz8l7/A1Ws3UMJ6mdUPFyWK7Z193nz7XVZXllHKIU0ilAxRjsRRiiLXVWaci3D+fw3Z/ln58ZZq8J361v8em9yrnFbFjzva8H63+yDH8X446Ac4xkZGvO76UqAMmFKS5T751GUSttntLuF0MtqdmJV2xEprRte1vhUtmZEbRaJd4tJjlAWMsoBp6hOnHknikqcuZe5QZgpdSnQpMWUF1ugTB1gBQUaBUBrhaZRb4IcZQZix2ppxrjXkXGvIGX/MupoghcFtXCNrQGkua9Icbx3ZbwSuKPFlQaAKfMdmWzhK24jZWjarirCtM0Ys3nGcVLjXuWhkiARN1okUIKWVCZNK4yiNlPrYdovn0IK3dkGtLS8XgDIltSVGRA1QW4LEkwWeskD1IoRYQWBQwW/A3KPk2MD4oNBt1TdVG5sMJmPdp0Rl0q2EpjRzCbXSzOV4tKkzek5mjyw2aw5mHiMGxLwNx0DE6u/JQ6jl1ZrxUW9fne+TwHfdb1JoHCHRUlAibMaIkZQVwVd/nhMk1fGZmoh4r76cA6En+xU5JwKaZadUdXwfJ0DYhSXzDLN7T5LzjBSaPjlGxtUyWtW4U7LOEKmyMWqtvoX9L8LN9Z4WW3DyXC62qf6+KH917LpYgLPt9wUT68aEfU4QnpQkOrkfxGm9cxqJclp7T9R1j/Levy/sa2HF04mcH72I0z5/gMrnxML7kyfzs2aO/3DaWKYmKO6mZ96LhJnPEae058S+FueTeqaULEhiiXpukpT1PGwMWkh7SxCGEmnfd4TF2eZqsvVFZtkPyckrsirN3DMft/PzO7/emwyrmlw/tQcWr/O5qsycVKh+qbJRmr2YxWwU+1vjM7Kw3Y+fYajKe91rP0j5cTX/Xu09drEdp/rup/xUEyOe5xFFEWVZNhkXNtrQvsS2222klMxmM5RStFot8jxnNrO+H77vU/tx1PJZrusSVmDf8vIyQggODg6aAX3x4kWiKOLo6Iher0ee5xwdHTEYDGi32yiliOOIMAwrQsFnMBg0mSbGmMZLREqrwV1rXteyEzCXu0rTlDyfR54aY2z0+HjMuXPnGAwGGGPY2Fjn4OCArc1NHKXwPY/1tXVu375Nnud0Op0GGEiSxPqfzGb0ej2KouDO9h2W+/3KFyUiCHwrL1P5mVgwwoKrS0tLBEHArdEOPQzjyZDxZISm5MKFLbbOneWxxx/jS9s7vP76m/z+d7/HO29fxXFtFoo1mHdJ4sxG1+YZZ7fO8JUv/gl++Zd+gUuXLmDKnOlkSJm6BJ6D7ytWltfZ399jODzizOYG/V6PUhumR0OyrGR5ZZWvfvlLfPUrX2Xv4IhvfPNbfONb3+LO7et4fkhveQXXUWRFAQJ816kkP/oMB2Mk4CqbMeK6LkZb4ERJh7zMMKJAOS7CQJxI4lnC7t6IVqsDukdRzNClYXNzi/29Eetr62hdNBJus9mMOE7odDoMh8PGb2Y0GtFud6ospACDYTyZ0e4soZwOrfYqcergeMuUJsQIBVJQGOt/YkyJ40ikcCi1IMs1rtdinCV4Xkhv7Qye51NqY/1WpIdyfaS2/hxSGbZv3eb6tWs4QrO7vUMQWMD68pUrrK6tc+36TQ72B5TGGr8aDUVWYKSwxsSua03WS0swBa7DpYvn+TO/8st8/3vP8IPvP8vv/vN/znT0GUbTMcPJDGU0S502+eoau3s7DAeD5j1oeWWV7TvXePG114nSiF6nxXg4wiAJwzae4xCGLdbW1rl48TyTyYTLly4QBtakfnm5hxukrK5vstxLabk+B4f75Ikm6KxwJlxhd3/E0SShu7yK44f0lvq88vILvPH6i3S7HmtrSxhKhDB87KnH+b/8X//P/M2/+Tf57//7v0/XrFMaH9dtV5lYPtF0yne/821a7Tafefrn+fjHPsZbb77J7/zOP+Ub33B5+tOfYWtzk/XVTYIg4PatQ/J8F61hOByxstLHD13yImJvO6EsMlqtgG4nZDIeAIbQX+bc+S2U47C7t8PNW3dI05Req4MwBikVeZbRavdRKkNrw+HhhFdefZVvfOMbIBRPP/00y6srPPPMM9y8c4vVjVVMkRJnKbrIaAUBWueUaYbvK44ODrh44Rz//v/pP+TWzRu8+uqrlmxyfeLI+vS0gjZB4OGGHq7noYGsKHFcj2s3bnIwOMJIgR8ETKMpSZpYkqPKyCtMCQiKMmvm9zzPSXMrr+N6bhXZb31OwlaLmTtD5zlFUTRz26I/0CJJLgQURd4YyV+5coX9/f0GUJVSoio/JlFpnurS4fIDT+IG60wG++SJQZcOa6sP8/mvnOE3//E/oCwLdvdn3N4XPPypc+wcDEimERtnQygOOZoVxMahyGb4RpNFMcoJ0MpjGmcsdbos9Xp86EOXcZ0O3d4S+/u3KIqE0A+4eOFhuu0l9nYPiKcTlMkZDQ5RTs6DD2zS6QU89/2v88prr5DnOX/+X/qX2du5zVuvvskDlx9ClgXLbY9AwFLYYmtthWmUEEcpWWpQrs8br7+LG3hkecp4OMSVgnf236QXtlHCkEc5R8MhIEmjhGQW4ziCrgfnO8ssK2UjfLodpB8wmST4HUnXCxCThOneAeuXzzONBXFZsra2xf7hPkoLAmG4srXC7b0RoijtmEoNe9OITAgO45iVrUtsXTxP4Lr4XsBwHPPMa2+zO0zRqotyPXyhKJIchGS2PyLI4dL6GhtX+hTyMuMoQvW2uLU94dpb25zdOIcUEf1+n4sXHuRM9xw/eOaHvPzWc2yeW+Pqu28TxQlRHLO81Ofs2XM8/9wL3L59mzMb6whgNhnh+S5xrAnDAIMkjiYI30Xg4nvLYHIMJWkyq0gBlzBoUZYlS70erqu4du0aQbiE6wTEsQ3U8H2fVjsgTWPClteM4zRNODo6ZDy2mah5nhMEITv7++zvHfDhJ57gYP+ALMur7RMb+KEzisywsbGGKQuefOIJrr57ncF4gpKK5eU+WZZjNBzFh/heSH+py2BwRFEW+FXGSeC5pGk+D+iQDnlZMhyNyPMt0qIAXeJIUI6DJ/wmy8PzbAZGLVtnDdYLskw3UZW+71fEjA3UmE2nld+IvRd7LkRRhNaalbVVxtNJ82y0v3/Y1FGWRfPyUZcwDJt21wRKTXjUhJcQsgqCsKUmSGpypSZogKaeoijQpaZUypqkS0FeWplOKQUKyJOIj3z4MR64cJ5rt3ZAOAgpkK6L77iMR0d89/s/4MknPkw7cAlabZtNJkQjc1YXs+CD9rPys/IjFUFzzVVf33f9U98r3x81+EBt4kfY7APt4oO06x7rmlN+F6eucPd6dxMkFgyilBS5Is4dSAKmUUgcthgHHVpuRqByApWTa1XJZjnMMo9p7hPnLlnqkGcOOpeIQkAhbXaKxv41p+ADooq6FaAdMMogPJc08ZjFJWnskyYekyRk0GoxCkI2vDE9J6ElrZfGolTOXV1QmediLLjridIeh5OTKgepXMo6jLc2P1nsNlHLziz28PFBW8tjAQhZZS1IKrNq3WR51Jkxd52rZl9zsN/+1U1GRA1OqwakLhvPBwtSz+uovQNsNPB8b01M8YmxcRzOvp+ySEHNgcl6V2rhuxQGxwgrl9yQB1Sg4qI0TdXCBsSneQ871tkn2jEHvY8DiM3wWiSsKublbkD4dMJAGYER2mZ6A1oYCm1QQqClrkzlRSMV1hA/J47n9J67+6KuW7HY5tNpjxOHtLDkJLnUXPPvUUkzFyzu7ESX1NJUjWzWouxPk4lRZ+zMSZI5QcKJ5Ytj6ERjq89zIQjTtPO44NEJESRRb7dg6l0D3He1Y7G/T2/DqSTCPdor3nO9e2+3uP296vjDJEb+oOV+22HHZkMrH/vhtDNvMxzm9IZBNNuezBept6/3MV92emPr+8DiTWeRLNVVm2qiUVYtsWtYAqT22TIYTJWOcfx2Ma+/8Q6klnK8u2ENaSiE9RZZGJsn/XLmY3yRQDl5o1rshIpwrCUrm+es+r5Sk6UVYdLceKptP2jW2x92OXYsH3Tkn/Yw9Edc7mpv1f8LQRbAQlbO/ZWfamLEEhkWuK+lFlqtFkdHNkp/8SXccZwmW6Tf7zeyUbWudS21MBgMmpfdGnjwPK+R1Nrf38f3/ea3WmKh1WqxtbXF66+/zsrqKl5FrsRxzJkzZ2i329y4cYMwDEnTtGn/dDpla2vLRmtOJk1EYm3SLaWk1Wo1PiB5ntPr9TCdDo7j8NBDD/Huu+8SRRErKyvUI2E0GhFFEd1ut8mAqaUjAA4PD+l0Og1Rs76+ziyKGskst9Oh1+vZ6NgkwXE8sszuu5Yq67QCQON7Dv2lHlESc3gYMRwPcF2fpV6LL3/pc3z+c08znUa8/fY7vPzyq9y5dbsCVRTnL5zn4oUL/NxnP0sQeJR5itY5riNY7oZ4rsJoTZJERNMpVx56gKtvlhztH7G6vsFgOKQoDN1Ol8D3GY2PaHd6rPS7fO1X/xRf/eqXePaHP+TZ517gpZdewQtauK5Pu9OhFXhEUUwmoHtui7TI0SUIJdElSNchl1CWBiUNSI0WKXlZ4LhtemGfMOgghUc8i2iFEuk6DIcDkiQly1r0+30ODw+ZTCaVzEmL8XhM2Go1kbnWAFbMARgkK0sbFNrh+o0dXnnlXZJEoNweeSEoAeEosiIFqel0WggBWqtKA94QZTFe4LN5/hwAUZ5Zz5VqUqa0oHlZFCQ65caNa/T7PW7fvIbW1jy931/lscefYP9wyOtvvsUkyiili6ECkagi7QFHuDjSQRpBmWtyCl587kV2b+8wm0wp0pxdrfnnv/07ZGWGcl00xvqD+CGuhOloiBCGdiek3Q4I210KA9O0wA+gFD6B1yVJSw6PZmTZEPXuDl//vWc4ODjg/Plztl3S0OnYaNsPf/gx1lf6FPGUjTPrnDm7xWwW43e6XLu5DzIk15ISMNKws7/HZLiPKwveEAUXLlzgygMXGI4OcTzN//E//is88thl/tP/9K+iCytzI41DEiWErRZhv0WSxvyz3/otwlaHr3zpy3zk13+NnZ0dvvfd7xBFMeurZ3j00cd44vGP0Ol20SWsr28wGU9IopKidHn15et4nmRttc/NfA/Pkyz1OrTCDq++etXK/JmCoBXQ661TZjlFlhP4DlEcMxyPODo85OWXX+aN19/AdV0+/ZnP8uDDH+LZZ5/l69/6No7rELRbDEcjXNexDyAK8jzG9xQK2Nu+xdOf+gT/8X/4f+DCubMcHjzA1375TzAcT7h5e4cXXnyRGzduMp4cMJ6A74W4nker3cb1AvzA5/W3XqYgZW1ljTiZVZI44LguIChyG1ltSvu4U2tuJnmOiSOcKkso1zllnqNcF4QlxuM0PZZ1t2iUXIOfSswfmkpdcnbrLI7jcOPGdewLnpXZUkpSlNabSCmHbi+k1TYMJjdxkaSpYHanRMsl/G7An/qVP8+3/8U/Z/vOCMKQ3/m9F8mdLh03Y7XtkScphWpzNJux1GrjZCmdTpf9o31Wz5wlPcxQJbz77lt89unH2Nm5w8svf5utzbMIXXL+/BV82ebq29fJsoLJZMD2ness9T0ee+QKS32f3b1bHOy9y1OPP8xnP/s5Xnj+Od5+41WeevxJNte3mE4HnHv0IsWoT1YEeAhuvPMuOF2ef/5FHn3scbrLPQptx4+rXMgLyA3tpRbClLhSEjguIi8JpGRWZKwuL3Opv0yblPRgH9dz0J7LNM/xO13ajqatFRthm+neAVtXLiF8n5mB1XaP5aRkcjBkda1HND7gjO8QFoLbhyNCt0+51Gcwi/ntb3yTwNO0QptZ53kBftglbC/jts5QlgqRCSgy+oHP7Gifg53bfPzRiyRlzOFgQiEKCi354XPfJ85DQtFj++YRly+ucuHsZUQJf/u//X8RzyY8+vEHef6l5xgejnFcn4vnL3D+wiWEcviNv/If8E/+0T/i1Vdfod1qkecprmPHjFQGozPGg0NiR9LuBGyeXcOQs9y3kpd5ljPLU0aTmCROCIKQjeUeB0cDtre3wSg8z0UpSacdWEDGqcH5EvDw/YDxeEppykpOSaF1ybVr18mLgrW1dX7/29+rsk9zpJCEgU+eG9ZWl+h1WjgK8izl+o2rdJf6pHlCXmiU67Jx5gyB6zMajSiNICtLwJCmGZ1Ou5HiW1q2zxVlUVKonKPhgDhNyPMWbpX15bsuUjoUWYqSEiUlju9TFtaLqyxs5LHRlqDwvQCJIE8zXOUQdHzAoE1JFEV0Onb+qw3aZ9NplRmXNc9xdfZInmcNEVOTGq1Wq3kOrL1H6nvu3IdOL0R0WTBB6zkZUj+H1WRPTeAYDLoscT0HKs8ygaTxKTOG/nKXpz7yBDfv7GAElEUOQhCnJa3uElev3eL1N9/mqSceBewzZZ6l9n4vrCyaEIbymOfIz8rPygcsFRixSBLcV6DgByU7PigJ8QGr/1HKyeN+3/J+61a/33f/MceJRAUGCV2BJRqEkZAJyqli4rjEThul7P1FSm2j/LXNAii0oKyyQrSWiFKiNAgtoKQxfW8OvMYJzPE2GUAoMEpAJiCVFLHDJFKkkcdB2Ga30+Wg22WrM2TTH7HpjlgVU1QFNJ0U9qt3UdO3Eo2rCuvF4ebErovjlBRaYjTM2YWFjjQ1oEHVQQvNrsCPY9G9ssoSUWVDiDhynu0hFoHkU05WAy5X9dUSVTUA7UiNFJYMUaLKRlkAnGsSxy4Rzf/zPvkDIEbiGM7T7LUZyydkrKy0km40+eusCg0cM3JeIEzsfk4huUwDJS4259Qjm9d7fM17HXkjIXPiOBdZPGEECI0rLVGmsdm8deZLKReOz4gGZD2+H6pskuo4xL3bdHI7OElo2Y1rAHYu5cXxv/X25h59Z4QFepkP70WZJaieQcR8DMpqXJ6UMauzNk4SIfPI+BNn8NTxf5zAECfWWwSPjxuyL8gONUc9vwrq32pA/GS9J9vwHj/fc/37K4uE0d0V/XEhQN6vvF87F6+o+4HZzcLcUhMO73c/O20fJ38/WX9NtMxnRjs2a9+r+WVrqjlANNkdx8eaXU0KqqwRU92FqvmkuojkQusWb4VQ3S/MfCzIhXG9SDoeIx7v7y5/rE8W5+jGa72+CVcyWjWQ31xBP+lH+x+JmzE/uQvoWGef/MnMnxU+QPt+qokRg2kAsMWsi16vR5ZltFotlpeXSZKkySqpX4oX5RBc1yUIAqbTaQP8t9ttkiRp1snznEceeYQkSYjjmDAMm5fwVqtFkiREUcTFixdJ05TBwYE1Sg8CBoMB0+mUTqfTtMX3fQCWl5fxPI/Dw8PGC8RxHKIoaqJE65f+WhZCVj4YR0dHbG9v43key8vLZFnGeDymqAigmsyRUpIkCUmSNHJOdaR0v9/n4OCAUtsMm6Ly4Oh22wCkFfDoVeRSlll/lDhO8HybsTOLIlzXx1UOvqNwfc9GPh/sE00yXNdja2OFteUun3zqSTphx2r6C4PreSRJwtHBAYNJhue7lEVqM3d8jySOmU4ndDpt/MDj5rXrgCRsd5hMpiwtLZPnBY7ngSkJPJfdnTvWuFUqHM/jK1/6HL/4i19l+84e3/ve9/ne95/haHCEVC6e46Kkg1TWW8HzWmRFQZrmZHmOLEEbmzWAslOX8hzarTbdsMPu3iHb2/v4jsdsOqa3vEySxCjlcjQ4oN1uHSPYytICHrLytMlzOy5ns1njZVOUhjTN0Rj+yT/+TQajFOV1EcIhyzO8sEWSJRS6YGVtCW1sWzEOQrkURcHGxgZLK8tkeYE2Fuh1lIOUlfRcWSKUxHc9jnb3SOIp09EBw8Ee7ZbH6uoKn/r0p6uI/7eYxhmFnj8EClchjU03V9JKtZjCgBRkSUaeZCSzmOlo0mRzJXmG3jvEa3mkWYLGIJVCuVZL/dzZDaI4Ik1ilpc2ONjb4eDoiG7P+h+sr24ymsXkucZ1QjrhEgBhy9BfO4tA4PkuaZawdzAGobl15/fxXYmvIE0TOks9hOfx4IceQ7g+jtdGSpfOUpfxdMTu/g6zyRHSZJzd2uSFF17i1//s1wjDFvuHt8nzmK9+5UsUmeZv/+1/yI0bBzhOB9fvMBlNUJ5COYp+fwXHcfgnv/mP6S/3eeSRD/H5z3+eLMvZ393nhRef4+u/93VW+itcvHiJzc1NVlfXaLd7tDohUoQoKXA8SavdRTmCosyZRSWzKEa5im6rS1EU3L6zV3l8FNy4eZNbN29ysLePMYbl/jI/9/kv0O11uX37Nv/tf/e3iJOYdquN4zoUZPalUZcUaULgWbm8yWiIIwx/+S/8q/zGb/yvyeIpN6++iecqpO/T77VYWX2UT33iSZTjcHBwxNtvv83B4YDJdMpwNMHxPLTJ2N6+0WQ1RWmC0SWuo/C9gCSxPiG61JaQQCIkYKx8TaFzWiLA93yk41BkGcIYS0S2WlZyp5obF02KG0Nlac2ba/+mLE156KGHuHnrFrOZlT+s5XIasNEYyjwhCOGRB7rEkzGjvRladwjCdcqyw9HhEb1uh09+8iv8/u+/iOufIU19JqMpfTPiyuYZHBMwmwkKBK7QtFyX8WRKog3xaISULbZv3Wb7zrsYEoajHTodj04rYGPjLHFU8MbVNxmNxgwO99Em4ey5Fa48uMlgdIc3371Fpx3w81/9HJ2gyw+++y1u3LjOU08+Rq/dJ48LWo5HOk7Ipjl5Idm/s89br77BRz7xOSSSvCKVlFJgDKYoCByXtt+CvCRLIlTgIzODUxpkaSCZoVKFmsVk6YQinrG2cYVJu0WqNSubZ+iUKQGSK2fPMpqOKaOIXqdLJARJWrK6ssqNt/cpPMXF9WWORhMKnXNlo8+1/RmOcVFFyXp/nSJPKeKMO5MJrSXFh544j8AljTNa2tAqDe0yQw0m7N1+nU5XsXx+lTJQuKXDzeu3ePf6HbTfJ44NeRlx+exFHn3wIiLN+Z3f/W2GRwdcunSev/Xf/E3yIqfXXmFtbYMiLXj91dfp9pd54IEH+PLPf5V33nkbJcFrBSAMYehR5CmOo1BSEPo+K/0VWq2Q5W6PjbU1ex8tFRqHLClJ0oIoSlnfWOapj32K5557scoeFWxtbeJ6DnEyw/ddK49RBX7EcczOzo7NGpB2/hxPprzz9rtsrJ8hTTImE5tNUhQFnW5IHE1QGNqtkDxNuHz+PL5vM9za7S5eEJCZkjiOOTw8smRHnpMWCWur66RZwng6YjQZ47qKThAgUBijKcsCYxziOGE0HtFbatFZ6mMobLRyRVY6jtN4wNXZszWx4Pt+Nf5Elfk1v15dz6Es7XZLS0uMR9PG+21JLXH27Flef/11ptMpm5tnybJsgRzJUUod858DquwVryE16ufGet6o/YYWyYd6fljMSqufoepnLIyxPi3C+nwJUWeaWO+vPEn45Cee4ve/930ORjO0KRDSqf4pomjE88+/xFNPfNiSbmK+35r4tcTNvL0/Kz8rH7hUL+M2ctE0iMR9vQd/0JffH/Vl+dTt3q+F77OzBRLoVCDsXtW/x4t3s+xe5Ig4vs7i35PgktECmQlMYRfk0iEXFlAx0nCMfVhAemoCRC6Kri+sd6xN5sSyhTqMBlMITGkghyKX5LnDNPPJco+scJnlPlHbJwsdMt+hpVJaMsOTZTOCTiMDlND4sqDtpHSclJnjoZSVudLIu2W+FioSJzuKORkCNJkiUlrPFJstYnCUzRRpQC55Mvr3eCdZ0GpOnCwCZQ0ZcoIUWWzW3YCilaepgcA/CG60CCbX4HvT3+9RsY2wtsFGi6TFyc807TMnT2BFKtydF3TybFvSYp6bcCxm/ZQ2mvoiWBiwYvG/qilGWP8Kgz0OaUq0kM3+5F3SYDWRcbxtixkzp/bVib9Ux237sf6hkhyqUc4TZIhZqOQYVbXgozMfI2Zecd0ViLsk1xZbW4O4xwBiQFS+P/W4rddtQNh6+3tMeovXRL2dOHZe5md0PneahXWr/Yrj9b0XeH53WRgv97HdB6v7RLt+UiDuj6GcuHzvb/36eYB7kyInb2Onlbv3J459MieW3jPvWbBAiizu0c6k9TdZE4vUJMn8eqrl3u0KNXVin6nFwvxZbyVEpcQoTmZFnXY0pzR54Tnh5HE2maKYhtCp5fJM1SY7Hdw/+fJHWgzMyekPUH5STV9s78nJp74TfYDj+al+u/I9n06n05AbrusSRRE7O3fY2tpifX2dnZ0dDg8P2draAua+IlJK2u12k/0wnU4bgsXzPJspkab4vt+QJAcHBwghmgyUOrOjNmPf2NhgNptRVJGQ9Ut5bRra6XSYTqd4nsdsNmsAgp2dHba2thgOh00bgSYyMkmSBkQAKzGjK0msfr+P1pqdnR1WVlaseXBFptSETg0yLC8vWyJjNmtIkIODg0qD36HIC3RZErTaFrAE0jSjKDSGkrK0JBFSkWRWtsQPQjqdJcaTKSsrfbIiJ0kTZpMxS90OYStkMpkRzyZkSUqR5/gSnDBkeHREnMTI6uU/8H08TzGOMmuK6ziUpabT6QGGbneJW7dv4Tu+jYTtdnAc17av1ETplCzPObt1Bq1LJpMJRuRMJ0cwEWyuL/Mrv/zz/OKf+BJvvvUWz/zgOd599xrjacRyr0uJYDpLcZTB64akqUMUJ2hT4qKsbJSS+H6I4zlEScx4NOa1V9/iS59/kuEgZzKOyAvQRhO6NvoX3MbctSyzJjr1/PnzDAajZjzayFePMs9wfcnOzh6T8SECj7KMyI0dj1k+RVZRxXmaoI3GYPPmNSUPPfQA7Xab0XRCrfluJYokjrLj1mgLtulCMzjax+iMJBqz1u/huQ6PP/4orVbItdu3OBwOEcr2uUFRFhpd2AgtqCNqrbFxXmp0WYLRCAOe5zOcDMBYOSSBQE4FCGv06zgKx1WEYUC3E1CWKXmqSeIZW1tb7Oxsk6QFD124TK/To3d5if29A6IoYTgc0+lYObXR0Hr/jJOELE3RBjqdrk0tNyWFKQg7HUoUunTQoo3Epcg13W7A2toqr71ym8OjfVqBQ5kbrl67zmeffprBYMxkNkI5hiDoMBomfOHzX+GRhz7Kyy+/yfe//yIvvPQacZGC8EAI0jghBXqdLnmW8dKLL/DSSy/S76+wtbXJR556HLCZXaPhPtdvvQWA5zn4voPvWrIzqIB7a8RbkmV5BYy5TGczxpMpWZoTTa15MkC32+Xygw+xstInima89sbrHA0GZHmKdCRhOyArUpIispIBUqMBR2iyaIKShssXzvIX/ty/zJe++HMkkwGmzOl17XgzRUKSxRipiJXE833CAJ588mF8LyTNCw4HI3rLK/x//u4/4PatmzzyoccwuiSNI+uN5LcoiwIhJEIqtCir9/4qZkXYhxpdluRFged6OEpRCgueoiVhTTqORg0IWl9bQgiUECCrl6aqb/wgZG1tjeeffbaafy0pYIyBUttUfUCXMZtrPXrBkDYT1oIQXbZIyxaTJEMqn2Sa0wnW+Ngnvsjz7xyixf+XvT8LtiS5zzvBn3vsZz93z32pJWtBbdhBACQFEoS4tSRyJGtKojgaTT/QJPWMFjOZzDQmSjKJY5oHPZH90KORpm1Go5GmW5qRRDY3gAIBFFBAAbVnbZmV2923s5/Y3H0ePCLuuTdvbgUQLEpws8x774kIDw8/Hh4e3/f/f19Ino145EyNW+9+hwuPnaKf5EyzlEatTiQynEZI3fPopSm7vTEb2+vU6gH1mkfo+5w/c5rAb/DKK2/Q740Yjyck6QTPM3z6sx9hZ/sGWzs3cNycS5cepRb53Lr2HjubW0jH58knLlILPeJxn1F/ynQUE4889jcTovoS4/0xyThBZxm+65EmKWmS2PsRQzIdU4uaTAZ9atog8pwszzFxTOZoPNdwqtOkLXPEeIgvU7SXE/iCzA5ghHDQ6RijMxZX5tl6fZXBxgbdRx4mVjlu4IJWnD99hutvvEEY5ywsL6HzMdfW1zm/cJpYu9zY3cMsLNLf7yFcQywEQ6259d4aF89dYC6MCKdj2iZGTvcY7K5ydrnO+ScfYuwbhBOyvj7g2vUUzztHqiXtukvkujz26KP4UvOdb30TmWc8fukCL730Hdr1DtLxWJ5f4uy58zhRSJzn4DqkeYbOFZ7vo5QlunOdYIywC3RjyLOc9tIiZ86codtqMz8/Z5+txsFoSZoo0szgyIg8m9LrTdHGZXl5mTzLEGj29rZx3QWa9QZ5nmK0ARyCWsSNmzdIshTX9QpywWH11hrr6xv86I/+CW7dWkVrC+yUhB/G4PkOEmhGEadPLLMw1+Ghhy5y9dp1GmlKUKtjClBfCokREk2OdF1MCr4fkucJWZphCrkrV0iE7yBdxwY37O+zsNCFjq2Dwv/H8X37imIo7jeJUxiql0SGEKJ4TkEWZ9X6ySTaGhUK678GVEEtSmu63W4lDxoEAYPBoFh3ZfZFR8qK6MgyO3eWJZ8hBW3QgpohIMwhQgIOMsvKUnmy4RRRSQKTKxzPygmqPMVkyoKOSuE4HufPnubZZ57iN7/4JaRfw2AwUhKnGa7n8+6Vq1y/cYOHzp9CqRxXlK+B9jmrDIWHywfg5ekH5Y93OYRyfEBeyI8t9/tCe49rmAEujt37dlzu3uUIUnScjcTdjjmCC9vNmirKttxfiANstTzBzHs/h856ZL/bzmE4jEjNgLkCQFlw1kbgWw+rWAXsZJJxHDBOAkbNgF69xpI/YNkf0BLTY+VHCgsLpDD4MqdRECMDGeJKZUlhfZ/f23GflxkekiqrxnFsdofjzEgPFf/uVN2hCHhxhBiZiRqWM/+qzBIxm2lytP4Sfrvzud9Pud+spxIQOmiFqEBQA9b8d2bf2UrL7XA70VDVxQzpIATKWNBPV7Dk3a64HHDi0EfVsC9JhOIzcfALspTZwX5PRohKxqwkcg6u5iCD5UBqq/j89hZV11r22AwlUACwoiKcbjvuCPFyuB1HL1kU9dtGz17f3TNCS4DXHIzXosWHSJOj88Qx5Si5cOy9cQxAXO5b3TMFkCwPfX60zrIvzB2tFGav+l4g/P2Xo4TOf12lGJbc7erfBwR+xzoMR+ozs3+LI/vcno12t3Iwnx1+XJfZevqYiso5r4oBOTKqjpvV5Mw9NUsQ3FZ9+ZwW4hCxRDU/2HMdmq6FAVlkw0hTBSXYusT7W4d8D8sxU/0Dle/3PXZce8XsL++jQX+siZFpPAUs4VC++CqlWFhYQCll5SmAubm56kEzmUyqbIwyWjEMw0pWq8y8iKKoMm8fDoeVXIPruoXWd1JllpRSWqPRiN3dXWq1WkWaJElCvV6v/i4jH6WU7O3tMRqN6Ha7jEajKsqz3+9XgEGZLVJqYadpilYK3/OYn58njmOMMczNzVWeJZ7rVqbyaZpSr9cZjUYMh8Mqi6WUlCi3A1U2S57nVR8EYYDMbHSn53ukSYIQkm53jvFoaKMh3QDfVyRJTppnRV8MMMYwHg2tHFhYQwtQWpElU5LpyEaOSwgCH98PChNTj5EQGK0LDXKF7/nkuQWFPTfE90PSLCPLNGlhQg8Gz3HxPY+1Wzeo1Ws0GnWbb2cMaZKyv7cJQL3e4rlnnuSxSw9z9dp11jd2yJQB6fIHX/k642lMlmb4nkRrF8c6+aGkJlH2jUJrhdEGx3FZvbXO5TdqtFsermeBCztOJHmekWU5eZ5V31WZsTQej6ssoBK8USqn0bTG7VEEf/kv/7e8+NIb7OyP2Njps727g/RCQr+FxL5YoEDlgmanQ3d+Htf16PcHhfyQ1W93i6wOKaz0iytdMDAeT9jf20XojDSeUI8CHrv0EO12k/3ePpub2wxHU4RXR0gPYRyEq/E8H0xGrmK0ynEdB9/1kK4gDH3CMKQeRXieR5rnjAZD4ixhOpmSZSmO6xSAmKFeq2FMhpSCNB7jAHOdDlEU8cpLL5PEGUuLJ3j00kMMhnucOrdMEmcMh2MQHr3dPmJtneFgbB+QroMrXcaJNe/Nc02mNEmWIVzJiTMn8PwW0yTG9XyCMCLJEkaTIa1uE0+CI2sErsvm5hb//J//T9TqEVJCFIV0223q9TqddpezZ87x+GNP8Z1XXuWr33iBt969Ys20lbI+NUoihMTxLGg/GO6z19uFy2/QbDZZWFig1W4xv7hgn45CMR2PqNfrlkgdjkjThMl4Qq4UAlkQbFZ3PowiWq0Wi0sBYRSC1gyHQ/YHfd69+i6Dfg+MwvU9wlpIkk4ZT2IMVr/XdawpczKdMJ2MWJhr84mPf4Q/9/N/mkcfucj+7iah54LJqYU+eZYjHYdaGJAW4zrTqb1G32Ocxmgk3U6LdqfD1bffQeeaWlin1+uTJjlPP/0kQdTgxW+/RFhvEifWe8FobbOOwL5MS1kYR2oylRNIazht7yPNdDyxwCXWP8B13cOgZvFTSiqSeGlxqZItDMPAEjPFG4QugFx7egNpzGhrA18lOG6NNE+JhcbxW+g0Jc80EyVwgxbNeZf05gAHzcXliEg4VjZpKnG9iNDR6KRPfzpinDvUOgHCxAjPcObcCjrPmO8uopXPi996lek0pdfr0Z1r8+nPPsv2zg1292/Q6HoEYYjvudy4cZPdrS3m6iGdRsji0jxIGA138Z3QamIbn8kgZ9xLESbn+miVyShmf2+PWhSytrbK+QtnGY72mY6GoBRCaxyjyeMYkWmkK/CAZDgkbAYsNEI6YkTdKJSOyd2cIBRI18XzA+I8I9c5e/1dzi53CEKX/tot5k+fpNWsk6YJLoJWo405+xCr126CqLG4vEi/N+HWe5dpdOdZCkJOnj2BPHeS3u4u/XFK1J5nOElYcBwCleAwYTq4gUl6nD7f5fyjDzM1As+PGMYO66ub+MFpvKiBSEf4gebhiyep1R1e+9ZL3HrvOpcePsc3Xnye3V4f3+0y357j0sXzOL5DbzpGBj79wYDBYGCfbZMJoe+gUbiug0Hh+y46yZBGsNCdo91s4vs+rWaLJEnxozoZMJ1OyZW0858bYRBsbu7SakVEYYDjCASKfm+X/b0dlhaXqvXDeDxmbW1tRvbJMJpMeenll2k2m7RaHb714kuWtHBtdkQyjQk8D0xOs1FnaXGBpaVF5rtdPv1DP8S1a9dBGJSy6w7X82k2msTTmDS12SfWr0PgBz7JVKG1YTQaUatbE3iV56Qqp9fvEycxSZYSeLJ4aRc40sFoVclXhWFIkiSkaWKzOl23MlS32RcZYRhaqbx4Ur3gTyYTotCuVawHm8ZxXZaWl1lbW+Ps2fMV2QJUREb5zJ2VwCozP0rftjKjpZw7yvXibCbZbKaGnU/yihzJc5uxpo1Gak2eK5Ikw2QKv1gLpFmKdBx+9Ic/wzdffont/qiIJHNxpN1nOBzxla98hYcv/Lc2GKbIELYyINpqMgtDnmffkzX0D8p/pWUWdZpF7T7I5R4Y65Ff7lzB3YCHo+e4ny45Qrjcqf5DcIy4+/4lV1UCw5XsRrHx2GaJmQOPQTqrY2YF2s0MhnPkWoSyBrnagFIuk9whzjzy3CFWHqM8ZFrzUUaSGYdAZoQiwy2yKaTQVbaHxFQZI003pu5FBF5Oql1yA3kR9X/sNR17reWcDEJaQsSapJekiCpMyGfJjfvHnO4IAosDkPjAnPoA7ruvIXqPS7vX0eK2X2b/uP3qjgJ/QEEkVLD8bYTOQVaJOa6SYh9R1VV6llgQUN6pxYdacVwA71EIUsyg2RZ4nKlV2PYZcZDFYYpDLUEyQ+ocIXhmyY5DZzRU9ZXHHfRFEeltLxptin6aQYLNMSPhMChtZtpRfF6MTXOUDZ0hWkzVt+U41NXvx/XeUTLjMPR8uEXi2O3mmOOOK0VPzkyts9ksdxrj1aNn5nLFTKvMTBvvwKHc9vi641TB7eP7v5Ryf98O3JMUMbP73s9Zj6/v7uc7GE3mtn8HhIn95XYqrswcmd1TVMeWhIYlLsUxI6gU3Dq4Qw+IRYq5Rc48K2RJdsOh8T1ba0n+iuovivrsHrNZcwfzdkGKCCpC3cwO0PuKrvhuyj0q/y6WgeJQ9d+n9eTRdUOhkXbs4/E+yx9rYsT3/CqrAyyw5fs+cWyjknURFS+EYDKZVJJZZSZHKetQRgGWhIlSqiIxSrBtPB5Xf/d6verFupSrOupXUvqZlLIOURgiClAgz/NK5qs8xnqeJEjp4roOvh/g+17l+ZFlWQGIWlKklN0qAfUDaYgDvWzf96sMl9Lo23Ec2u0248mE/f195ubnKoN6rXUle+R5HgZDkqZVVkwUhkXUpwUfsjxHpjmIuMgkkcwtLDCdDEnjFK1zojAknsaoJKPZaIBSpHFCGAb4oWfrSRNrNCpdCA2LiwtobRgMh4RhBNgI+ek0ASRGCHw/YHtnh/n5uSqiPo5jBAbPdWg2avi+R55nuJ6HxJDGY5qNJsakxFMLHp0+tcyTH3qSra1dGu2u9Yf43S8ihM328H2HMAjIlCHVCmVycqWJ1RSZa3KtUBpef+NdfvzHPk2t5pKqqc3QEAZRRKyOJxOMsRkUSilE5X8TVONRCPuZEBlCKKJA0qi5fPLjTzPN4drNLd69eou1rT2m09waNuYa6XgszM/RaLeRjkuW5EjhojU4winkPazWuRQOwig7XWuNSlPSZEo6GdLb36PTPs3Fhx5idW2d4ThhMBwjpANIK0+GQxDUEFqzv7+DZkoU+IRhwNLiIufPn+fkygmiKGI0GtHv9ciUohZF3Lx1k16vx/rGBsPB0BKNjmQ8GZGrlLl2izDwGaUjK+Ukpe37JOWVl15m0N9lffsWCEOeGxzXJ88NgReRK4MyOY7r47me1df3JApNphXSCDzXww9qdLtLTCYJ0pFkuSVHjTEMhwM63Q6eI0niGIlgkmTU6y36wzFZkiHFlDU5YDjqE/pWgm1hcQ4jBM1mxKnTy2xubTKdxDZDQ7qAQCgH3w8tgeBKpOMxnU5579o1jDYIIWnU60gBYeBx7lyDwK9haoIwqNGot2k2WjSbLdI0YzyZMB5PGU8mjMZjNjY3maZTRsMh0pEYlSEA13eQQpJlCdlkSpanuK6L5xYR3drQ2+4Rhh4//OlP8L/5M3+KJ594DCk0k2Efp5Bv0XlGmhr8wC8WCwqdpwS+j3S9IoIcjBSkSuO7DrdurfLNb36bM6fPkSU5OtN0mk3+m5/9aXb3+7xx+Q3iZILnh2SpJQdzrTGFrwGISioxTVK8wMEvvGmGw1EFsi4tLTGZTiuyW5dAaDEXC2Hl3lSWszA/bzPJCnmtkhSZ9SQRAjzHQ8WKdJCTxRPibJ/tUcJqP0V4LfJJTs2vU6vPkTgdhk6X3GRIkXJyvkkeC8auJM01oRtRcw16NGJ/0KdvQpY9F2Vyas2Qhx5+iNCPqNV83nzrBto4rG9sUKv5PPvcJdY23gHGnD63zDQe8+6777G702d3p0+7UeehU6c5sdQkU1P7PWcxOlNMhjmO7iKMhyBhdXWD/fEeCSmvv/4KtfY8a6ur3Lp1EpWnxJMx414fX0GepeyPJtQ9H7QkySdIV5MmiszkTNUQ40whyAm7Lebmu+zvJmSuhyOhO9divLtGL3E4cfokuzc3GW1v0WqcxXNAxSkjndNeXCJJBVeuXmd5krDYabO1tsrm1bfpjWJqjTlqjRq1RsB86OGkQ2pK4O1sIcwE30uYP9WkM7dIo90kNw67G0NWTpzktbffZXd7ilOrk2iNJzWPPXyOM+e6bN66zuVXXuTSxYfYXN9lc2eEEhF67PD0pUucO3WGV978DsoVuI5LGNbY3tklisZoo/GDCFAYrRAOaKVxHYdWVOPMmdOEYUCjXmd+YQEjXKbTKdOpNQyNojquH5AmMUIogiCyz+sgAJMjhWB+bp7JZMLm5gbGwMlTp7h+4xaTyRQ/8NHKIKTgxo0bXH7zLf70n/45Njc3GQ6H1ZpG5RnSkWiVsbTQZXGuzdJ8G09qVB5z6dGH6XTb5FjycXFpGcd12VzbQEpRSUAaY0DOmGpKySSe4gWWTEiEJvA9BoMhw8GIeD4m8OoIKW09roPKD8jJMvvVPvdUla1bSm7VajWEEJWsp40KtplieZ5XZEea2sCOM6dP897Vq2xtbVXrIjjImLFEkVuYsqvq+HINV15j2bZZIgUOJLPKtV3ZTl14dkkpUVrZeVIr4iRGphkYjSuFDawoiI0knnLm9Ck+80Of4v/97/49Yb1j11TCIctyAifg1Vff5NXX3uAzn/wovd0de/3asQCjsOROnv2AGPlB+R6V+0WL/yjLvV5s74wLz5TbAZ17gtWz9d7XOe7QtuL4CvO404lLEPhoYwqU0dxh/7KYWeH0OxTjzAKzd2jvzLUKDeTCglUaJjoky11GcUDc8pgon0E9YsEdMe8NqcnMmpUbYcmRAjj1paIhU5puTMOLaQQJuXGwYTqglM1OOfbCDlpvt5agEgfgUimh5TgKVx6Y6JbbD44+ptYZUPqQBAtFoE0JjBmKDEZz8O8eLT7Yepujxn2Ve+1/O5lwP+V24uHoSQ88TY4nfG5TbivJAaELQu0oQXIfZZYb4HCPHYBuB8DjATQ6A4CKEvacJXVKcLSo92gmR/mZmCFPBDNZKNbbp8zumM2LKiPeDxFB5k7XPTu2ik+KDBRRtcvMXMMxPS/KtZjhWHbpUJmJx5+pavYWv50gueOZ71BmHyAHcHFpHXR7PYfJD+6wz722z9ZwD9j/blj+H/ty/4TGHY6d6aLvRyfNEiKzRVPkHZnCC4ly5hFVhpwsxtVBXQfzQDVX3WE9I2fv7fIoYQqSQiOQlXzXASlSECfH3A+zEl+HnsumbIc41A4zs10U7zRl8Nis6CJHjvvel7vfNUJw9/XBHcphebrv34JSCDOT0ThDsR3yFTFH2nf38kDEyK/8yq/wD/7BPzj02aVLl3jzzTcBm3Hwt/7W3+Jf/+t/TZIkfOELX+DXf/3XWV5erva/ceMGv/zLv8yXvvQlGo0Gv/RLv8Sv/uqvvi/N5FojwvfbTMZjXM9lNBoRRhHTJAaBBfmxskZ+GFiiwjiV9FYpU1VpT0vJeDImimoEYUA8nVoj7sxQqzcYjUpNepdazSukr6SN8hTSgrHSYTKZAgLf9wh8j/29XULXI9MpgR8QJwmT0YQ0L+VfHILAw3F9BJArjcoVrVYbpWykqBcEBdAZoBDs9foWuC+yKna2t6nX6mSOS61Wx3F9kjQjDANrcq1yC7xgiNOEvX4P1/MqM9Rmy0r+NJsNNjctwFCvRWxvbdJoWi+DQb9Pu90qJLUErVaLPFdoleH5HpHvMR0OGAwHNKI64/GIPFN4jvUmmUymNurS90nznHoY2myQTFGv10jT3Jofxxmu4+C6HkppkjRjfmGB8XjEJJkABt/36HRagC6IMNuPpVRZ4IcorWwdubKyJ0qT5daVUEpJq9mm026Q5jkmnyB0xKc+/hyvvvwSyjgkqULEKa5bw8kUZDFJamW+wH4vzU6bXApubm4S54KatDI2YWR11wejMdJIgqhmzz+ZUK/XK9k313FpNRvs7+8TBAG1sEGWxaRZzlxnjtFkiuPXIVdcPHueZ5/5BG9ducGXv/xNVjd3CKI6y0snCIKavbZKHkRWprAYUbikC5TW9gGhM5tFksek0wl7O3sIKTlz5gIKl939MaNpTKYMruPhBwHGOAR+QJom7O3tofKYuW6Dufk5VpZPUK83efLxp3nssccRQvDii99idXWLpRPL/OxP/xjf+OZLvPHG6zSaLd556x0mkwmqyFzY398nCn2bdeLA+sYaYRjQ7bTZ29vDOXmKXm8IOiDXBomDSu21JcrKcuW5ATSOBKMNQZGFpJUiCCM8z6c71yaMfKZxjJQezWadwPORCLZ39hgNJ4hifGkMUvqMp4pUgfRCDBb492otEIbeoA/emNF4RBwn+GFAPWwSuCHjic1gUUqBNkwnE6SQCGmT8R0hQYpC3iwnTcYYoxiPFYPhfkEIWGm/IAxxiujqLLNZXVmeVxJRBhutrJRCagfXsf4RaZrjOtI+PFSOJ6AWeCTTMZPxmMiVfPYTz/EzP/NTfPi5p2m3mwx6+4wmI5rNBq7rk+cpDi5oB8dxEVJgTI4XuBghGE9jalGE0QbfFejcRkn/5z/4Kms7+1y88AhJYjMWnvrQY3zuT3yMN958h8cfv8ALL76KH0ZIx8EY0EIgHGnT442NikIbtMnJVY50HRzXtsECk4JWs814NKnmUqVVAahas3Urp2aJtE6ny/b2Fp7n4fsenmuJaKU0GAXGWP8GDNM4ZxjnNLyQM2dWOBe6PJZqdnsDtjc32Vi/xt7eBlM9D62LSO3juFOiSDHKcmqNGiLfIVIGPxV0a3W6OEy1R+471LtNchOjU/DdNtdvvcvW/pj11WvUay6f/8JnePPNF/CClGeefoTvvPIyw36O4zRZfa/PNJ7Qjlq88cY7vPeu5rEnLxLVigzDTAMeuXJxHJcTZ06yiEfKWSZ6QkaGwiOsX2S0v4cXBIRehGgIS+Y06ogoRxqNFjmObw0v9yd9Rv0xLd/guxqZCXQ85qFHJc0ItJySaI02Ds2O9QbqNpvs+X2217bonljGOJBJxTSPGUzGLF9YwgsE7756mVvvZCwuLNKe63IlXmdvMKWf5siRJM9yhBKko5hmEFD3BOfPLvLwQ4+iidna3+XKzessn36M1f2EN67eJFOGukkY7+/x4Q+d4PxKkySd8Mo3v8aprkfN97gygoXzH2M4SYhSh8lYMxjAyZVHWd1dxRiIaiFCurz97hXcwMc4BqTGaIUv7b2RxVOiTgc3EET1gOWTK5w4fQohI9569wZKu8WrnKLTqrG+tofrSlqNCNeTlmSR5TydE9Ub1BtNrl2/wVee/7p9lnoeUjhIVzIajfjS73+Zc+cvcPLkSX7jN34T6+nhgHCRnkOSjGmE1remUw+4eGIOM9rDCWuo6YjBYBcnaqB1hHIMS/ML+L0+ovDrSuIYEAhXkKsEjCHNMyIRkhuNMgahNa7S7O3ts762xcrSCephjTAosi3BkuvGugzXanVGRUar64rKM01rQ5rlhKFnSesii8RzXEtseAHTOKkIDwGMh0Na7Tbdbpf33rvKJz7xcZJkWvihpSRJUmXiloEtWZqh8hyjNDn25ySdFEEujp2fjSHP80PkiNaqyDYRKJUBwn5vxdulcArwME/RRdZrbjTCBAgk0pW4XkgST/nRH/4sv//7v09/nOD4PhoDeGgkiUr5d/+/3+Lpp55Eei5SAsoADgJLHqOP2h3/oHxQywftvWm2VK/2HwDQ6HvyKn2H6zjARo+ChIcR8zviZ/dLHpWgwsz+Vf+aY37esbH38fdxn9+NEDlKtBytwxyzHUCLwsfEgJHk2iNTLmnuIIwgMw5T7ZNEdizm3oRQ5IQyxUEgjX1f8lDUZELLjekGU8baBwFDEVbeEFoUfiPmOPCm7NBZuaAZgkLOeoDMZIkcJY9uY51snWUHlSJNUhQ7i7JjS1ml2W6ahcaPduLRcgAI3+/t9n5Jkbsdd/ievxN8f7iS4+s7YPsEpeE7h0Aq+83f71WIQ+edBefKz8vPZqOyj2vkXW9XA0Yc+RYMlAbI9jue/b0Y+jOAZTmVVPJZs7Jah0583LUf/sxKS4lDJMchr5LSQ6XMUinBYg7IjJJ8vN0TwbJbM62bOa66khkwkTtuv5Po0eHP7neivJ99Z+Pw73T8QRv/MMrRmr8Xj8nvZWsP5qN7t2z28XfsttvG5fvf797b7lzH7Ig7+PsA2JbFPXA7LWZHS2FReugZIoq5qMrW4OAZclwjzOwHxw7vGQKjnIuEvY8t4VI+Oo6sKKovYYYEEfanKOekKnriD2FRdp+D70FIhLue5A97XVk9D46cd2aHg6f3/ZcHXlU/+eST/O7v/u5BBTML87/xN/4G/+k//Sf+7b/9t7Tbbf7aX/tr/NzP/Rxf/epXAfty+dM//dOsrKzwta99jfX1df7SX/pLeJ7HP/kn/+RBm0K/36fTaRMnMQEB9YaVtWo2m3ieR7vdJkkStre3cRynksAqDdNLY/XSCNQPrM70cDSkP+hbrw+lmEwnpElGt9MFLPBgjKHT6dpowaK+0WhEmma0Wq0qMySejGk1GtTrdfb29hjGVorKD0Ki0KNRgOK+H5DlVqYiSXLq9Yj9/X0Gg4E1Sp3JZrEyEgbPFNkoQUBUq5EkCY1mUEVVBkGAdGxE43Q6rczlx5MJSZJw6tQpsiyjNxxSC0OS6aSQtxCkacJ4PEIIQeBbff+0ACq01oxGo8rTZDweY7QgTaYMBgOyPOPsqdOsrmYMBgPa7TZuLSCJY1zXw/MkQlqAV2vN7u4e+/s9zpw5CwXBZADPK4yR84z93j7D4YBut8N0NCJJFI4jUUpa09siCrSM/l9bW2Nubo4sS1FKs7C4QKvZIcsztM4xOmdrI8UPrOxTsxaSJWMCz+HSIw9x7cYa8/MtNrf2GI4zsjQnzxTkCmE0jpTkeYr0XD756R/i//Y//g9cv7VKrX6edqdLlk0wCMKwRhiGiAL8T5KYWq3G7u4uw+GQ8+fOkSQxYRCSJCnj0QTf92jU55AiJM9Tmu0OXiDZ2Rvz+mtvc+X6GtMkpV5v0VlYIIhqKGVIUutt4zoSrSUUcIvBGsMKWTDvWtmsEWEY9vbo7e2RxAmtZodLjz/J5s42g9GE0TS2+vYKQtclCEKyLGNnfxthFAtzHU4szxOEIYNeH4zDKy+/Cvi4nsdub4zjh0jpUmvM052bZ2FxkVpYx3MCLr9xmV5vH7fpEoQRw+EUGOO4DmmWIx2XRrPJ3v4+tXqNOMkxJkRoiNOUMIiQjk11zvMc3wtt1H9ugfHxaFzc46CNQkrwA5fptI/SgFCkse2n3v6Ave19Ar+OIyHLrVSe0gKtQDie9cLQNktISIfRdILwQ4wT4PoQGA9hBIEDjnTBWHKqNAtGKxQKT1oQVAuNynJUMf9kgOvZ7LUsNziOJIhs1tdkOrKkR7GvENJm/BQknRACbQy+65GrjCTTCAGu4xCEPsIoJA7bG2vcurZLp9Xkcz/8w/zZn/tTfPxjzzEZ9VHZhJ3NfZqNBq2lORuRnaVgDJ5nJfq0scbMyuRoodFGEtYaOIV5sJEC6QYorXnplVfB9RCeTzqZ4AjNIxfPcGqpTRIv86EnHuaNN99G6dym4+sC1DWglbKeB5gKLM6NQiqFW2T+ZVlGlmaEQUi9VrcSOoIqktv1PUwG6DKi0ICQxfzo2pcdXUrn2AySMkJNSEssBY0Gg/4ma69fZ36hTRg16NRqPPbJJxlPYvZ6CTvDJtd3fXb3pgSexgk0o2TMtNcnj2Mi5eAbwf7eLqu9AdP5ZVSaEWcZEvCdgJ3dPuub29zaWGMy2edP/tRPsbt3E9dVPPrIBb70pS+iNQTBAqs3Njh18hyNRki/t4nnNdjf3+ZL//l5Tp1Z5NKjD6OFSz7QqBhuXltndycn0YbMMXhtD3wIwwYrix2CILKElzF4so0rFCab4ugESYZWU4yRIFwMHr7bxcUgHcjTmG8//w3eXFng0sNn0GlOK2wz3OmxePoko711cuGycPYCb77xBq1rNznx0Dky1yH0YTKdsrl/i7OnT7LQ/BjvvXGV6++tIoMajz36FDvxhFu722gBwiR4PjR8l7rrcG5pkccfOU9vY5uba9fY2N/joQ99hBNnHuLf/H+/iF+rM1cLmUwT5rsB5052iZycWzfXWLt6hU88fI5Ya7z5U4jMRcghdRRzS4u88946Fx89y9Kyw62NazihQKWamzduEQQhQmoQ4Lg2m04gUcowtziPXwtotBq02m021jfpzK+wvLzMu1duEk8V08mUZiOk3a5jVGaNXaWDwtisPClwfB9jNK7r8cilS1x97xqtVgcQxHFCo9Hk1VdfZ3Nzi7/wF/4C7733Hmtrq7TaHUyRXSEcgXAl2ijiyYBW5NHwBYtz8+wOB5xa7vLUYw/x6rvXCKI20yTj3StXESbFMRm+lDSbDfLcEKexXWI6kiRLSeKUIPCgIGKU1oRhxDROUbkhSxWtRp0ocFF5aqMtjc2MSwvJU9/3yZSq5KI8zyfPpzOZG/bezXVerWrLObCUvoqnMfVGg8cff5zf+Z3f4datW3S73SrL1XXdSqqrzPpVeY4qpK8ERWZtISua51YqsFzXAdWcW54TDEpRkCYCYwoZrRJSMboANAxGKSaTCTiSRqNFbqzE1qmVZf7cz/0ZfuWf/J8598hTaG3INeAFgOTqjTV+9z9/hT/3Z36KjbUbeNLDdS1h4whLkPyg/PEpH6T3pkPoqbkLGfB9LH940NZM/Yexx5kt4tCb83GQ/KFyJzxulvQ4eoYZLGTGh/mO5dCL/BEc5dhoznL7IcDo4CS3HVJ+fhz4fQT9r/iBIxeocBmIiEQ5jDMfldv3ixSXjjNBovGkwi1AKFcoajKl5UyJPY/MSEteGEOuBUL4ZDmo0ox9th1H2ykonHIPZE/sP4p/ZgZbOuhNUwHLR4HCAmgWhce9KSVSymYcZA4YMzNmimP+KO+fo+e+V1tmv8X7ue/EkZ8cc5woBontw1IqRhzp5IMaBBWWeA9o3B5fgaUz9/BtXgOH5rK70DGiIDyOAp4FKDmbCWNDC20Eewmo3gnUtW24f7+EYxpWXWsp0WUj6ClIEZuFUxIl9qRl1tJhsFdU2VIHrbz9ezwsYHQALh66ooM6Obg/Sp+d2zvZHN7/fi/9Lg+hO2+6F+U2s/193qC3DZHvUflePe8eqJ473Gt3Izvut/7Dj4zD8+uDtvH4D2e8kIQ5bLRe7XV4fjk0MVA+G2+vuprfD99BMzvZvw/NGcdMnuXda5/RR7JAZq6gqkJwkDkiZqo71O7v8ZPl0NrlD3nV9f14KB63FiultMrncvX3/V/vAxMjruuysrJy2+f9fp9//s//Of/qX/0rPve5zwHwL/7Fv+Dxxx/n61//Op/85Cf57d/+bd544w1+93d/l+XlZZ599ln+0T/6R/ydv/N3+JVf+ZUqc+N+SxRG6FxRj2rWn8JxMdIUIKRha2MTx3Fo1OqWQIgiG31eyFuVWtPD4ZD9/X3anQ5RLcL3fdbW1irvkDzPqddqbG9vE0URURRVZubD4ZDxeFzJYkVRhFLKEgRZRhbHtJqNymw914obN26yuLCE6/sMh0NypXnv2jVA0m63rcREllf9rbVmbn4O3/crg/ZarUY8nTAaDtF5zunTp0mmMcPhiDzLCUMfo3N293oEQUCj1aTb7ZCmCUmS0Gk16O3tWJDQdejOdcjiiM3NTZrNJu12m52dncprxXVdms0mSZIQxzGNRqMif6SUlZFplmWVHJcQglqtVhm9O9Kp+nww3Gd+fh6lNIuLiwRhiHQcBoNRZVQuHYc4S6vsnuXlFer1OkkY2owFpfD9QtYrs94mpTdKOZYcx2U06jMcDCvQXAqIajXCMLD63YDSOa4f4LsRjz76CO9evc6g36/keUovEKBon4d0HK5du8af+tmfoVarc/3mTc6cXsR1ArI0J0lS6q0GCMM0nlKPQtrNhu0rKWx/plbSK8tT+sMxrutT73SY5oZknNAf5nzz5a+xtr7N2uYu4zjHCxosrJyiu9TGCyPSLEMIt5JlsxOuQBaRTrrIFAE7OWtTAsXQH+yTJFOUVnQ6i9QbNfbf2QWhaTTrBKFGCJdmo0Ucp+zu7JGlU+bnuywsdAijiLzIbsrznPF4zDe/+QL1RhPh2JeIOI558/JbrN68STKd4jgup0+fIQhDrl27xpUr76JUzlyni3QlRgm8sElvFIMbIP2IURyTZoogqCOlQ6NpgfA4PjCz9z1r/FxGCQsBfuQTuB4Gje+5eJ4l+IIgBArN/1zjuRLX8cDTaJMThhGTyRQpBI7nILSk1J3VRSbDNIlp1BukaWZ9W3wflVl9eyklXuBXRIoxBpnnZFnGaDTCGEMtjBCAzlUFvMVxXHgLQZ5nlQyM1d6XlfzLrO69vVaByhJybchVhhQOjpSk0wn7W2uk8YQknvD4Yw/zl3/xz/K5H/kszzz1IYTJ6e1tIR1Q2ZQw8snNlHg4IghquL4kSRSZyZAYkjxBChCOwBEeRtvsO5PlhEFoE5Mcj93tXd5++1267Q5SCIxSKJVz9vRJ+jvbnFhY4BMffo7Ll6/wlee/Q6M1jxICLWxmgo0gdDjsAQK5UjiF3M7u7m4xl2e0Wg32ez373WiDNgrQNgpDFlHpKidJU/uyIwS50bjCReliUSUcS6AJiecKjJmQxgMee/xhblw33Lxxi8FglSzTrCx1mFvosHDqDA8/dpFL3UfZ+ve/Tc0NubWxRpwbugsncfV1XOUQj/vUA4f5xQ67YQ1HBARuSmt+npMnVxiNBowmu0ynW/zFX/xpmg2PL730OhfPn+fya9dxRJv93hb9wZvUax2ihqLeEkwmgpvXtlhcXGKQJLzx7i2GWc5DZx9GaR+TaZJ+TKTqOLlA+D6D3gjlZ+iwz/r1a8TTCUanuCTUA0PkpXQaDvNtj/lujU4nol6PCGohruejhLA/84TARPzER38ejc/uVCMykKkBUWNvkENmuL6/wVNPf4ITowlvX36H1uIcYaeBSDOajs8g7vPW5dc4f+o8Dz/zKFnkcvXWBm9de5NOrcPF9hypyvC8FlIr2vUaJokZ727z7dX32N/fZPn0Ej/x6c/QWDzDb37pK6y+9S7zK+fojQaMkzErJ7osdOqILOXmlSssNNp0wibXc5eNTJM6gs7yHB+/dJaXvvY89VqX926tsbjc5sTJs9xYv0YQJ0R+iBAaQ4w2Dp5nJQvzXCO9iHPnH6ZR7xJGTRw3JFOa9fVN6s0u9XpElo2sB9ikTxT5BL6DMTnJdEy73SbL0uqZlKYZ9XqDy5cvE4UheWYzUj3PZ3Nzk29+85t86KknWFiY4zf/1/+EdAVCGrIsxnHLoAmJ1Iput4UUhn/37/4/fPoTH+djf+IL7O30+PTHnmV9e5dEgHYc+ns9jIrxPYGWLqnQSOkhPQ/PgEl04Z/lgjGkaYoUHtL1cF2P/V6P8WRCo+ajdcMSuMYgC+JWCnsvhkUAgyMlcWIzUaLQQSJwhMR3PYQBVcyZZSkDW0q5MM/zGI1GnDxzhsXFRfZ7PR578kk2VlerObWcJ8vAklIOC6gyQ0qfEa01ebFPOY+Xkqml5OqsrFa5JijX577vg+va71FY+iJXCiMEk+kEP6jj+z793j6f+xM/wr/7j7/JjbV96o0ujrRZOdIoorDJf/iPv80P/9CnaHXmmQ4HIDUqUwjp4wjvgdbKPyh/tOWD9N5kOAAlZz/7QJQ/rJfpCkw9crpZgODIS3YJtNyTIJk9hzjmd74H/XuEHDnUTnF0uzggYMrrO4rz3OUUt4E+5Tn1AeBjgSJJgkesXTLt4AmFdA05EuODJ3JCYYPcXKFx0Pgip+EkpN4EXa7rjCA3EilhKlwSPBsoo+QRJIoqeUMc+mdmgOADs3TEjMDSjHTSbMZIVXvJXpVAnih8Jg51wwHce1QOqeRJbgdiHwRafPAy+1Xd/dYRt/31ILDbcfsd7sHiMwHS2PW1JRKOAoSz4KWZuYCjfXrgqWOq3WbJrsOtEDNyZ/cs5e0+e3/OdGLZJHNkmz7QFrtDvYccUG4/4bHbjq8HUYK19qdGoIqfuvr8oC7BAbF3NLPjKEkhDh1Z9ulh4uRgn5nMLA7qLo8pfXZmr83MHHf3cX0cJH+/248jem7fXo6X+3+s3N7eB4Wn73UnH/3uvt/l+DH6YPsdeTzcdj2HSZHjzlOMkhnixHD4vpstszUbBLKQT9JH9jEcoT+qOeT4Ga96NpTPB1MSIMeLyd32ycwz+WiGWzUfVZ8fnf9m5qAya6S6ezh68B3KkRbd72Pk+zX0BPyhry4NhydzwcHitnou3/bEvmt5YGLknXfe4eTJk4RhyKc+9Sl+9Vd/lbNnz/Liiy+SZRk//uM/Xu372GOPcfbsWZ5//nk++clP8vzzz/PUU08dShH/whe+wC//8i/z+uuv89xzzz1QWzzPJQwCms0mUkomRSbE/t4ei0tLVWZFFSWoFKdPn7aRhnFceWrUajWazSZRLWJ3b48wDJmbm0MIQRiGnDt3jjTOEGKVer1OqZFdApyNRoM4jolja1gaBIHNQPF92q0GWSH/oIwmnsScOnmKWr2BcBy2trcZDod0Oh3CsFa012MyHtFo1Ol2u/R6PQQHmt+OY03WJ+ORbXu9zv7+Pnma4Xk+WunKHL70Htna2sLzrGzM0pI1IH7vvfc4e/YsRkBvbw+jTWXEXup1Wx8M+xIeBAG7u7ssLCzQ7Xbp9/sVUdPpdFBKceLECfI8Z3d3l8lkQrPZrIgVYwxRFNHv92k1uyRpSi2K0MaglObmzfeYn18opKBcPN8jj2Nu3bzFwuICWmvW19fJEyt/VoIcJRHiOE6VwRIEQWWumiRJ4d0hbHaJlAisprcxmuFgTK3RBCTpNGZ5cYmTK8vcWt8i8F10NikiRa3URppnFpwWNip9r9fj05/9DGs3r7K7tw80CAJJq2uBrji2uvFOIdFRAkOOY6V9rrx3nUazw9kLj+J6ATfWtrm5usG3v/My/f4II1xcPyJszmGCnHpzjrmlZTSCJFfoom7HE9VCVGtVTASmSAO294yuvBVASmENZJVC5RkLi3PoPMMom41D4c+BFAwGPQaDIaNRn3anzomTywSBR6Nex/dDxmPr8ZBlGdLxrYxJGlOrhQgJt27eJJ7GjEdjHMfHdX3On7/A6TNneOLxJ9na2mJ3d4/hZEySxqBhFGdkRjJJNYkWnDv/MDtb2/a7KLCyqGaJyDRJyVVOEASEoSU9PN8tjPSs1nutFpEmCbXIK2RVPKaJNbleXl5kaWmZV197iWazhhP45CqnWa8XwGduAfsiQ8N1bUZaFEaoghR0HQftOGSuixYKR9nI5PL+ybKM6XRKp9Nhb3e3IgBLojbLMhzX+s3MAm55nlf3c+lpBFQZIzpXuK4F/o3O0Ri0yphmGbUo5NKjD/PUk4/zsY8+y5/88T/B3FyDjVs36O+sIhxQ2poCtzt1ptMxw56dj/I8tkRdq8ZoOEIqgR8GJEmMKuYalWXkMkWYMpVegJC8d+0Ge7t7NBpdkiQGDN1Ol49/7GM4QhCPxzzy0EWee/opXn7pMhiN63ikKisWGhKMU0VsScr4PQsY1yKb5QAWLG00GtanKYkrANOSSKYCMu29YFCquDM0SMcp1jbSkurKZgLguEz7ip2dCQ9dbLJy8nGWlh9nY2vE6uoGb7/1Oq2tKeHaFN2e4i+PiXPNSqfDww+dYHXN0B/G9PbHnKstUiOlFfo4kylJklE34OLQadUJogbX33uHQX+Lxx5dwXUT3n7rTebmuvR7Y15+6S0ee+wi584+RFZI+Fy9eoVcz7N0YoEzJy/S64/50Z/5EXZ6m/QHu2gCOgsLvPPeDfqDPpHj4Ht1JtMJjlCkKiVPFA0/4NnHHmVpvk7kpsy1BXMdTbue4nsTXDfDCI2QHsIJMCIgNT5ZpmkGDmI6Id4fMczBbXRwRwn5MOHhc0/g12ts3BphkoT1jVWeeeYZsvGY73zt23z2Rz6D43tM85hut8VWPOWFl75Ju7vAytmzjFC889ZVNjaHhJ5PFATW8DxPGG/luEbRqdeYW2jxsY89QXO+zfZwxJVXXub6zeucv3AB7TQwUhDmHhfPLiOMIs8S+jt7dOpNjBb0RjHK6eJHIasbV3ghvcXHfugZ3n17lTRXvHvjOhcvnuWhi5d459036O3usTDfsdJ6jodS1t9qkg45ubTIyokztDtttIYs00RBA23svW0DKlzm5ubAaCaTIUmaEEUhzaBOHFs5OG00WmnarRZXr15ldXUVEAVhYpfr3/rWiwyHQ37sxz7HN77xdUajIfPz80WAgp2/w8hn3N/l4fOn+MRHn+NTzz3Otbd9jMjRImX5wkkurq+QjHrImkc6jgkcB4WDUTlxMkVpgeOGOL5AmxxhRJH16eE4XgVqgCUKpnHM/v4e3U69yNCw2ReuI1EFyZsXEoDlusArfNyM0RXZUZIOs/vayCpLcJQG62EYkuU2AOX8+fO89NJL9Pf2iKKIOI4rIqXMGC693zzHrdYIJfFSztMqiavMlFK2q2zLUemikkBBWKP0TFt9daMNwpW4RSarkRIhDaBRShMnGe1Ol1/6i3+R/9M//L9QixRe4JKmU6SQdJot1lev82/+5//AL/93v8hEDEjTGEf66Fyh8vx+lsg/KB+Q8kF6b6rAglnA6I+aGfnDflE/CvYXpcRLjsFaZwiS99G8o7joURTPHKn3AfGPo5sqfmcWHzAH07OAwxJfs9d4HMJ4pL+qw0xBjmgDSmAyicCQCY+eV0c71khdGEPg5CgSjEwQpDaDGUUgMhpOjBYHpt1CgCc1UkQYBHlu13BalZKBtxMRQCWhVfqIlJrwB9Hvh+HZ2YwRMbO1jC6tyJYSkj4K7Bzt45mfs34jxzT1LuUAGnw/t8G9jjmOlLi/dt39nIeJtALYM0U/FINNVOv2OwuIVX18jO9Hub0ce7e3oQASBdyLtzg4sATJDm5wIw4GfAnmllleuriSWV/025Dh21p2/CcPMs2WMl3aHAC1hoMxPEucmDtFQ99h8jogN2bbdwz5cefWHanrUGvu5+oO6j+WuLgX8XH/5UGP/27OW165vute77f277IIjgRD3M+T7c7bzZGf9yqH9xMzc/HMCBIHJMW9WzRDgxTXJo+cpURRjqruHd++og1GVBlbs3J6t1/DQXsqpYniPEfXFbNEx0FgVfl3MUfOpJVW13XPzr3DA+kDs577PjRkdnFT+YSV5zYHD/oHuOUeiBj5xCc+wb/8l/+SS5cusb6+zj/4B/+Az372s7z22mtsbGzg+z6dTufQMcvLy2xsbACwsbFxaHFfbi+33akkic1yKMtgMABspHXQ8DBKMR6PK/mERr1OXmQOxHFMPJkQRRGTyYTtgsCo1WoEgfUdGQwGaK0R0mY4jMdj0jRlaWkJIQTD4ZBkmjI3N0eapkwmFsCYTCb4vk8URTarpMiMKAHMIAio1+qIep14mmLynJUTpxhPJgjHvnTXa7UKzAeJ69moyzLLxHEcakW2ymhYGHdj2NnarCLHx1jSIggCpBCMJxMyrQjDEM+zklpmoKqMloPrW2B3d9tKSUhB4AdVX5Tn1VrT6/WqLJD5+XmMMdy6dQvHcSqD91KWrN+3EmRJ4Y1QgpaTyaT63kpDezETb5Blirm5ebSGMIyoNRpsbGzgOJbImcbTIhLK0Gw2K/A7iqIqO6eMpgcbuVlm2IRhaIFlKPwcNPF0SpYmuEU2ynQ6xXF9lJbU6zXOnj3DzZtrZFlOGAZM08xm8QiJ43hY2VzBfGHmfOr0Wfq9HfrDEadOrSBERlZku7iOQ1KMuzAI8ByPRqfJYDgmzQ2uH2GkT28U8971K3z7lbfZ749RShA0l0gyhZYOXtRgeamFH9ZIlQLhAMIC1AWgK4QAbckQaxIoELqYuguNd1Gw03muqtWXlILFxUXSNCNJE0ajAWmaWZPgVDEcjPE8j3rNpxb5RKFDo1HDcVyUzjl/4Txra5tcu3aNhcUVkiS2xF67zZnTp3n44kVqtYh3r7zNtes3iZOMqF4DBEvLJ5hfWmZvr2+9TDBMJ1Omcczu/g5+WKfdbtMfjZCei1+M6RLoyvOcJE8RjmSaxjYzK88x0prV+q4DWuG7Hv1ejyiq22hlx8VzrPmv57ksLC/hve1TrzdIs9TK26m8Mue1Uca6GmP1uq3H9STScS0A5zk2xdtx8bCkpCOtP0KWZfYeLTyOVJZXwF31sETjFFkSsiDSjE1TsUbK2thIanUgBQOGeDJGSkHg+fiui+/5LCws8Pkf+xw/+RM/ztJihzB02du4yXSwhs5iAt9BaUvEpllCiIs2mu58F20EwnHIlCaeTJCej+sHxMkUrcBxA9sWbDs9RzIZWqk83/O5+t4NJuMp9dYiSZIwGY35zMee5fz5s0yHu7iOx1y3yXynzcc/9hG+9OWv0+kuoESRvm6KdFljU7e1I1EIhJE4CLJM0Wy1mU5G1Vzj+y7TuFgKCUGmUhzHw6qOahzHmkGX35+VH7PPFG1s5CJCooFMuwi3y9WbMece8UmmKVEQ0Vw8zTMnn+LUyUu89dab7A8zYhmw299i1Iv5yMWLbK2/iePANNX4YQMhHdJcsTcekSqI44RamjHq9ZhvngACxqOMve1bfO7Hn2VxvsNrL/UIvQZXr95kcWGF69dvsbQ8T1QPyZXiyaeexfcdtMnpdFqcfewc270ecSwJvBNk45ydfs7i6fOE4RKrV9eJAo+O1yDTCoVmPB2jdAZTxWRvTHupzkIrIvB6ZGqIcUdkZBjhgGziOAFCtsl1SBREpMMdmsE8LBiG/R3ybJ+5uoNRgv7mezz01IdR58+SvDNltLPKXlTj0Uc/xAt/8Ad858vf5MM//DFqYY2Jipk/uUy922FrZ4+3rrxNq9bhmaceZ783ZDwYorOEXGYoGXP61AkunjvD4lwXpRMmyZjre2uMck3r1Gnm9sZs9yVOWMfzI7xY0QwlQuTkWcLO6irPPHoR4/usrq9Bt4UbKh5+6DSR0+fy9ddYOfUIvd0heIKbt1a5ePEMrXoDzxFgNMIIHGnJUxyHOM9YOnmCsNEmiFqsb6xTb+cILyOqNVAGPF+S5Yp4OuDEyhLzcxH7u1v2Xia3spcOaK3wXIe93W021m7huu7B/S4kV955l9deeZXPfPrTTCYTXrv8Bq1WE61zhNCEgUuaxqRJSrtZ49IjF/BcuHr1bULf5eITjyMHe+g05vFLF/jC5z7LV158C6fTYrc3IY5zkjTDaPC9oJDGy6xXWZwgTF74bNVt5oc29h50HcCwvrbOiROLjCceUc0n8BxKk0EpJXEcV+RvmY0RhiFpklVSnSUBPGu6Xq4dysy5ijzJcvZ391heXiYIAq5fv865c+fsmm4mo66U1lK5OpQ5Mkt2lIE05ZxfrrFKYqWaj4tSziUArrC+Jtqih5awB3KtEcZUzwiDwPNdtrc2ePaZp/nwM8/yxltv43p1K/uoNP1RTKuzyAvfeplnn3mCDz/zKKPhHp5T0MNa3XG9/IPywSoftPcm4DCy+b6Q/w9QuZ+23+kai89nMc+DPw6DtUczNe7rnHcqdyJO7lbV+8CwDkl03OmQQxd/ZOMMOVR9XAC1aIPILYCT4zB0QmIhQRhCmVPzMrRrIR7H0XhG4QiNJ3NqWNlTvAIGKsBRmz0iSIqTmkLXqJIOmjFUrciQMkukMkOfFTC5E/NzcDEVZjLzeykZVHk3VFkod+rJg8j62/r3tjMf942Y6rz3X+7NppXg2+1o/v2WOzdIHPOH4ICgqIyFzeyZbx9sBwD5AZN3FLQVhw+xNZkDUPK47XcuB7I8FVl4FLYtbn1hDgvg3HbN5cRw6PBjxsDB8OXY2OU7EBuzlIPWlkgspb2sMfzxiN/hTw9gXVnVWo61g/Me3Xb0+MN1ipmWHYc73n2slX1yt6/s/REUx7Bn76M8II56hxZ8AB+qgiP343dX7ofKPcohmts+Oypjdbezzc5jpc9OMQMcIaaNmc0YvI9rKfqlNH/XlJ4+9ngzs9+xt/CxH1us7dC2mSlwdu4TYoYMmeVJ7tjg2WfcMY35gJQHm5vfR6mWaUU/HDyA3vd5H4gY+cmf/Mnq96effppPfOITnDt3jn/zb/4NURS9vxbcR/nVX/3V28wLAfIsI47jKmuhBMuXl5eZTCZIKWk2m+gC/arV6oXpsqyyQSaTSSXNMBqNqNXrNqI/DCtj9slkglY2SrGMVIzjuCAevEMv941Gg36/X73YD4ZDCwAoO/Dj/ZRpPCUIbKbKyokTxHFs/VK6NbtINwoBBL7PYDBACGGjG40mDAKkFDbTQilG4zG+51OLaoxHI9I8x3UdPMdHqZw0y6trLWUhao0amxsbhJE1Xg8aDQsSu9ZvY3V1FcdxiOO4ImeiKKokpbTWNjo7jllcXKTf77OxsUGr1aJetxJHSimahWn7cDikVqvR7XaJooher4fvexhhyAoiyWAQUjIcjBBSokc2GwZA6/xAxqKQwJhMJsUDXDAYDGzGiJRkaVr5D7iuW2XvGGMsGK0USRwThj7dpSXqjQa7e3vEceml4JGrnCcuXeLl77zCOM5ZWF6G1XV2dnPiJEE6LkZbE9lOt0ucJkihaXfm2NjaYuXEMgvdFlk6BYw1sDWmkEEJmE5j4kQh3YC93pBao0uq4J0r13np5dfZG2X4YQsXySRNcf06nufTmV8sjOsVuVIEgY8RNrrYFLOk0gpRjEeBPacuZ1AB0pEI4xTm1grXc+0SRxva7Taj0ZAw8Kx5N8bqFxlN4DmEUYgf+DQaNVxHUK9FJKkqsh0SxuMheZ6ztbVBHNsMh2azwXvvXeX5r36FbrfLpcce4dSpE2zv7LG3t0sSp7Y/jUNUs2bf3fk5xuMJg2Gfzvw8mcpwpKTVrONJ2NneZmFh3pKgjQZ5rrh16xa7u3tMCtIvyxJcxwEBWZZTC32MUSTxlLTwdNG+jSRW2rC/36PZbHHxoUfY3tqwgLpUGAyO61Qa+MEMyVaSTQLbr3luvTKkI0lVVmSDSBwpUbnG9TyCwJKg9XoDYaxclut6BfiXESdTC64VgFwJ4M2CdyWJEoZh8bkh6rSIQh/PC3CK+ctozYvf+hZX332LZs3j4tkTPPfM45w7vUSSpuQZaFyk9PCcgMk4IQwijAEHiZSeXSAo609i/VYkeZF6GrgergtpEpMXC3QpPcbTlHfefQ+DjRTPhSCNJzz15JMoZVAaplnK/+v//n/li19+nj/187/AO1eus765QxBECGPQSlnpHSlBOjMvjBJZEGJW5tBjMrHeSEEYFOb0WdVPjmNf4MFmVSmlcB0r0WC/l9zON0bPvGhBrnIcF65tbLLZS5hvn2Ca5eztTfG9lPnuCZ57boE3b2xyuZ+AX8ORIzo1gRrvYyKPXpwyVRp8wTTP8IRhmuSMRxOWpKHbarIwt4QvW6jEpd1os9jtsL66Sp7nTNUULQztuTZGxAwmI0aTKU88+TS5ttlf8/Md3rlylWvvfYvt7X3q9RbNWgepXSK/TuRH+MLn5OPn2dncZTAcIIwk8APmOnNgDK4RjHpTLm/t8N5bCfWGwqul+DWFV5f4kYNfE9QaDmHNRUiHyNe4mSFWMdKv4daa6GFGa77D1mSPzdXrzO8s0T6xRHpimVu9y1y5eYOlxQuce/xprr7zBl///W/w7EefpjFXZyQyooU67SBgoteZJhlZPEV6Hgsri+gsJktGBEGDU+dPMM0nvHl9ByEM02yMCHyWzpwnd9us7e6S6Bb1usNgOsXPEpI8RomcUTJB5TErJ5YIPUE6eZNJtoHO6rSjOkokeJGkN9hhYekE/b0eI52xtrbG+vo1gsAFoXAcgcRBGE2eZURRyNmzp8lzxeLyCuM4xiAJQxs0oQWg7ZyZZSkbm6u0W3VWVpaYTqcMhglZpisAP0kSrl59z65dDDjSIc9tluoLL7zAwsICTzz5JF/+8n/GdR2MoPDHsMbgUhp8z6PdjFicazEe9Vm9eguRTVm/dYOPfvhZ5hYXmbv4CM899zR/8I03EBKiIMSYHD9w0ZkmzXXx3HJIMkWq7X0jhTUdT9OMMPCsDFSucB2Hfr9PnlmJTitLlaOzjDROqgw5IUQlw1lmaoAlfEsw1/O8iggpDdSzwguklBcs1155nuN6LufOnrXeUoVfiOd5VYCG1tpmCtYdVH4gSVhmomit0cbO92WwS7nmKcmRcg01OxfPShtaWSNNlqbWl0zmVf1SWsLEAErbvsMo/tTP/BRXrl5B5xnS9ciVRuWaoB4BKb/3+1/liSceJghrqCzHReL7353p9g/K96980N6bZkHM6pc/6gjDu5XvRfvus47bsIgDQ4M78gfHnuM+zlUFqR9t251OcNzn4vDv5tDn5vDn9wIJ7tTmo4B0+Z8RVHomSpAn1k1kJGrsOBmup8h9ifCtvwjSglgOBl/kFtByRGW8XgE9AsZCM8anjOAtg2RKMqTyFJEaR5pD/0SBzovjiAFxEPlfkhizpAgVuVKeyyCFPjgfByTMbI+IQz/vp5PfX3bI7ee821nsdc8C+9+7M8ye5+gn4iAK+mAIHnNM9RZV/WXJiLsTOeXepXzNg/bjIdPmclgce45iL1GQZILD8O0hpFMcjIljIt7FoT2PbpzJjqgG52EqqfIYKe6HWcLkzhXPEH0ckb2auYDDkPTRb302pp+Zsx4lfwzMtOi+vpO7AL/i7pvvWr4bUuO/6DIL7n+fe+joY/FBHumHx8JhvyEwCCOQaLS1XT80Ag+P3Xtds73HFAJlZPVPG3lw35kj992hVh5u8ME1VjPWzP4leS9msA2qzw5d+L065oNe/rCH2pF+EDNfQPn9P2j5rt6uOp0Ojz76KO+++y6f//znSVMrSzMb/bS5uVlp666srPDCCy8cqmNzc7Padqfyd//u3+Vv/s2/Wf09GAw4c+YMUc2+VFhZBwucW9+BuCI1pHDIM2W1sKVESFFJNZRyWlpr+v0+XuBXgH8QBEynUwAcx2E6GeO5XuWzobWVq8rznE6nw/b2Nq7rMhpZw/JWq0We50wmidW+3t8HqLIplFYkSVoZw7fbbQyaeBoXkksaVzoVOFASLVmWVG3SeU672SSZxuSFRIRTSAZJKdnY2GBubs5KjGUZ9XrdynGlCY1GrTJpV0VUfEJKkiSEYYjv+1UGjhCC6XRataMEMhqNBlmWMZlMqrpL8GA8HlcRm2UdpZxIs9kkTmx0uXRdtDa4vl/4nbh4vo+UksFgQBiGKJ1VpIbOc4RyK5P10XCIFIJmowFQyW6kaYqAAwDF92m1WkzGY6QxRJE16o6nU/IsJ88VWZ4S1X0816O12OHSIw/z7Zdfw/Mcoiik0aiT5woFZLkiqtUJwhClNcpAqzvH6uoNrly9Sfj4I3iui1IZKlc06g0LliiNcHwwkjTThLU227t93rpyjctvXUHhgPSZpJbskI7P3MIyYVQjV4okMxZw9lyy3EaNlmaAuogiLT0WHC2sQSHFy4QjkQhUrkCA4wjCICgAaI8wiBgM+wz7Q7rtDlrvo3KN7zj49RpCOniOpNmoE/geaZKwvr7J4uIK/V6P8WTE7u4OfhDQaDRptVoYYxj0B0wnI7794ou8+K0X+MQnP8FDDz/C0sICcZyytr6N4wZIx465fq8PQlCr1fF8j+F4QJZmCGHH1XgyJZrENJs266bf79PtzrO0fJK93R12d/ZoFKTedDrF5DlePSJLrWTUZDIhqjXw8pwgCHGQpFmC1oLl5RNsbW0xniYEvk+uMkuwAMKRBIGPFII4ji2QWJBwGHBdXcmvkAic0qxXSFzfRyBQufUv8T0PrTSe51OrWQm9ZrOBUjmDYb/K6pqNXC7nnBL8j6IIIQTj8bgAWDRam4IQHeO7LlmSsru9xZlTizz1+CPMz8+htUIIg+u4gI9WVot/Oolp1ltM4xjX88gThRAOzXqLNFOkSYLjePYaJQRhQJ4l5Kn17nGkzyRJ2e1NuPreTdqtLkYbsiSh2ajz5JOPY4RgbWuP/+n/8a/4vd//KuPUsN/v8aFnnmbjd79EnmdonSPRSMeSTMKRCEdYqS4hybUpzN4nNJot4ji23kZRQK1WYzAYWCkcz60WKCX5msZTPNepjN2NUUjsG1a5n9KGXCU4jmFvuMOrl9/iMx9fptudI9BTkmmPPJsSeDU+9PjTrF++wu7+LqR7dMOMrNcnaKzQG+dox0VLTaIycpWTxSlCg0Bh5XccVALJKOHCqXPMtTq88dq3aTZDtnf6zC928UOfWrNOnE54/LEneeutq7TbJzh/4RLf+c5rXHnnOrVajaU5K2c4HmVMRn0m45vUojrD/pB2e45G2GR5YQXf8Xnn8ru4xqXmR9SCgMWFLm6tQRKPmCaaSa7JBzmpsYSC9Ca4QQxyFW1yoggif0TgGcKgS81IgixmKxyweOIk3l6PK5df5lH3OZYXV8hzw9XLa+S7Q9pzHU5depKdd97lpedf4dGnHyU4NUecw/pej7X+gJpTI09T1HSMNApHKlxHkxjD1dXruI7Ecz1q9RpzS6fA98ldn2GcIFyfVtQl0eCGIUIG5K4klzDNp4R1Hy8A3zV0As2ttavs7/qcO/0R0iwjCAOMismSIUtLc5w9u8yN6+/QH+0RhgJFipAuWuf4jsM0GbO82ObsyRUwmoXFBdY2N0izDCldm7lUPDuVynEcgUAz6PfJ4imd7hxLS0sMBiPGYysHurGxQZ7lqFzjSOs9JByPb33r2/R6fT7/+c9z/do1VldXCes1kiQpsi1yBIoo9BkP9jn5+EV+8gufp7e1ysatLioe8eYbr/DGv3qNz/zIj/KFx56g3migjZWRC4KQ4biPkFaz27Y5swEJ2uC7Dq60i08947s1m0mRK22lFbFEvee6eEFYACWW7Mwy+0xvNBrVs14Imy1S+n/EcVwBx7PkQ3nOWc8PrTVpkjLXnWN9bZ3efo9ao15l5CVJUq1DKLTPK7nCgrgofblmfcXKNcwBuVFKu1Blt5TEidYU6ylDEITIUBAnE9I0tYSM55JlqlioKzzPYXd7kw898Sgf/8hzPP/CC/g1F6/I0kyyHOkLrt1Y5fmvv8gPf/rj6Nz6geU6vuN6+Qflg13+qN+bgEMg+j0jEz8I5XvRvll08rh6jzIfR/e71/v1Hbbftel3QgDfBzlyiPyY2a/6/Lvpw6OkyyyYowVGgU4l2ggmTsC+XwPf4BhDKFNqMsUpfEZcoXGEnQfrMsG4B+azuqhYYlBGoJAoJQqPvwI2EiCkRkpLjEhpcKTGkbryF7F7HhADh77aQ4TILHByGKAuCZgyI0WWJAkHBElp9n4AQB9Xjg6Mu2WHPACII44/nyku0TADtJcH3Gc5SIq8V3vEbX+JQwPaklGHgcI711uRI7dtF8e0S9yhD+9cZvumgCWPZUWq8SKoMvPL7CEprN9IGaBWAbZldsldTH7v1t6jAOlsF5aj+gCktZntljg8losp6jkSh3+kbw/3s7ktU+Tu4/q48x0dc8eVPzw0t2rrHe6NByn3JMKP2feDjlM/AG31R3PuOz5Dzcz/R4jf4gOJnqHvZsd4kZFojs5NB6csnz26JEMoiRHngBwpiMmqRebg+OrSZojgUqrU3HZNRTAWHEgPzmSVCGFmMiTv0Ccl9v9BX7cdV95vmx+wH6o5VDx4P31XxMhoNOLKlSv84i/+Ih/5yEfwPI/f+73f4+d//ucBeOutt7hx4waf+tSnAPjUpz7FP/7H/5itrS2WlpYA+J3f+R1arRZPPPHEHc9TykQdLdPRGMe1AInnuoxHY/vS6Ae2U4wgSwsDY8exZt6TuPKlKKMRS/3+uW638gmpFRJXZZSi0aZqQ2kwbuWvqDIq0jSlXq9XUgz7+/tVpkKapghpTbAzldOq1xBCWHCv0eD8Iw/zxquv4Lke0nEtAG+sPNdoNMIPfaQUlWRXmqZVBLQQoFROFFkprSxLSdOMZrNZRJt7NsugIEKGgxG1qM72zhatVotarUav1yfwPebm5ipypPRsKSUtlFIWVC4AWcdx2NvbozRZL/1Iyr4pMzdarZYlXgpCCcD1PBvVLyVCyMojQOWbFXBitKbdrFviQdnvMS/AmunURtaXmuS9Xq+SHKnVarRarUOm7Hmes7e3B8YQBQFJnFCv15nGCcPRmGazRdPzQXpM44Q8T/nsZz7Fd15+iSyZsLTQZWdniyxP8IMaU5UwNzdnCaQkRgL1mker3WVja5fHH7+EkC6uY6/PcT2UFmS5odnqMpmm9Po99lf3eeX1t9jc3idH4gcRSM14PKFeb3Ly1GmCsEacJIXsj00bdISwgC4GpcuUZYExNgvCFXbse8JFG2Od1qEAnhwkGoThxImTVisfh+k0ZdAfsbu7z8lTEaEfkJKhC8Utx3VxpMCVDirPWdteZTiaMJ3G9PtDavUGz334GTrtOaJazd6XnketZo2D9/Z2ef311/jSF7/E9vYWJ1ZO8pGPfpxWs410faT0uHFrlcFgRK4VfuDjOtY7QxjNdDJFZYpGo8n+Xg+tYWF+gTNnurSaTcZjS6osLC5Xnh3j0ZjxqE+rETAa9qsxvGBRdqZJShBEeJ5PlufUanUuXLjAa6+9hu97FQGX5zl5lqFzRV5kJLhuIWEGdvKVEgR4vlcablRAmipARNdzq/unioDOMwSC0WhMrRZy+tQZ6o06k/GEra0tBoM+02kMAgLfZsXpUIOxWQONegOEQ5rluE75kBUkaY4U8Nyzz/G5H/00p1bmybViEic06w1UnqJzQ6vVIk6m1KM6Sml8zydOUpTS1GshKs1tZoUxGFVkIjmOzYIzMOzvs7e3x5Mfeo7BKGNrp8fG1i6BHzEZTdB5xsWLZ7n40AX2+gP+zb//D/zel7+GcUPqoc/Lr73Oo5eeoN1ts7Ozi+s4dnxLB+k6GCFsP7vFWNYG4Vi/hTxXhIVkYprl+L5fEd82kkRWz2FXSuLJBD/wbVSaKSS1sC+7qpAGc6DyOzC5YtTb59q7l1mVipMPL3JypcV0YxfyMVub23h5QscThLWA0502g/Ecozxiey/HcWp4jgKhMVmGzBTpNEMJwTjNeeudKwR5xrlTHc5evIDQOUJM6HabbGwNcFyf7d0dknjEs889yVe+9kWyzOGJJz7CW2/eYGt9QsNr42pNM6xRb7XYH/ZROkc6GnSK48SQ99nf3WU83OCHf+RHCcKHePkbb1Lza+zvbZOmPXzfMIl7GDIcT6CkxvEl9UZE4PnIVCOExnUDGjLCD12i0CEwAQ3jETkNJmaAkCmXHnuUq2/cYG9tGyEbiGAZp63Z3ZuS6yEr8x3mH36Uvd1NvvPONRpbW5x56DxN0cR3x4yURgZ1wsjDMQppYs6dO4HnatqtOlJQZEc5KGHIhCCod3jr1Sts7w9ZkEto7PyXIxnkGhGGRM06wpdMJyMWunWWWhJzdQOtm5akmG+RJVNEHpNNB/jtJu1WxJNPXeIb3/5dfCfAdRzyLMETIJFIlfLQqRO0ooB+v88bl19na9uucVTh0WTnAjsOZSHZJlxJlmt2d/fJ8h6NRoN6vc7mxib93gCl7AJZaQPS4e233+all17iueeeQwjBi996Ed8LUFmOlA6m8EAKAw+VpbTqNT73w58lTxPa7RbzrQ9h8oQsy/j6N77K7mDIO2++jfQCzp2/yNUb+9RqNWRPst/fI/B9QILOyRIr0yWLt5Beb5+GqtGo1SwJ6TrkuZUAi+OY3Z0dFuc7RFEA2CwLUzz7p9PpIe+OkoAoPc5Ksrf0ETs0f1YEk6pkS8s1GUCz2awCVS7NzaHynDQuSW5FEidIKShN4a2clsD1PPtZkX1Ski12nncPzeOlqXv5M8uygkAp53sXKUHldi0ipKzWauW5peNggOk4AZPwoz/8Kd5+9x36kxQhsZrhEtI8J1Mpf/DVFzl7+hwnl+cQIiPL0zuul39QPtjlj/q96eiL6VEj9v/iyz1IjllQ9HuBdN2Tdzp6ngd5iT+WFJmBn78XIMRRUmRmcwXAK1HsJ8gSl+E0InMEkUhpuxPa7hRXKlyhish1SzJ45EQyAUwhW1KAywaUkRghSXOHNLdSQiXAUZIijjQ4sxkdM14jJTpqzCzYNAvPHfExONJXJcgqRQleHZAjjtQ4xe8CfQ+S4/AgOu5cs/vc11d2N4Cd4+/pQ5kS93WKexnWirveStVZjpAi9xruM3zATCkRxxmvjwe4OQ/OLY70ze1nKTNEDDbZvCJAyvHFjGxbMaZs5Hch6fM+5ozZPqik4qo2iYOMEVNEs3PghXDcuK1+ioNxfBQOFkf2v9e22c/e37RyBBq/SyXfLVf//o89Cqrfu8ze5f81PUYftJRzru2n+5+DJCUxePuoqOaS6p4+OsvMUiH26TKb81HShqogQnIjybVDph1y7ZBrSa4l6hApcjCS3w/RVJGt9jUQGyNZjJ4jQL+p2JUjF33o4v8Yle/2pr6vfrgD6f4Ai9wHIkb+9t/+2/zsz/4s586dY21tjb//9/8+juPwC7/wC7Tbbf7KX/kr/M2/+TeZm5uj1Wrx1//6X+dTn/oUn/zkJwH4iZ/4CZ544gl+8Rd/kX/6T/8pGxsb/L2/9/f4q3/1rx6/gL9HyVWG1oKd7R3CMGJxcRHXdQufkAl5lldRgkrZCF3P9ypQfzKZVHVFUVTJOtVqNWsenVgQodfrsTi/RJIkVeYJWNmENE0ZDAZIKStSZFjIZ5VZIyV50Gl3mMTTChidTqfVC/6Vt9/CaE2jUadeq6OyjL3dXRzZtEChI4miEN/3GAwG5HlOUACA7WaDXq9nAQcpqNdqZFlGu93G93329vao1xtWqieOabVa7OzskBVSZO12q8pMsVkuE+I4Zmdnh263W3kplHWW0antdrvKEsnznFarVZE9nmfNqUtwoZQcK+W5oijCSFNEUwaMx2OklNX5XdehO9dmPB4V0ZgW8B+Px+zt7rKysmLB6jyv5LJKD4c0TZlOp5UR9/7+fvX9xAUo02q1GI6sbFcYhpV0htEKrRTDQZ9Gs8mZ0yd59fJVzj/0KJ12C5Ds9wZFxLLD7u4uQegTrCyz35vQancZjcfcuLHGM09dBJPS2x8Q+A2iWovJNGG3N+bm6gZff+HbxInCyAA3bIIyTJIMpQWdbof5uUX8oCCQXBfpuHZhpKx8i9GW9HIdD53neI4kV9aYVWubIRQnCcqARCA9jzSdIkTOoN+jUfO5+PDDLC0tc/PqkN2dfZqtNq1mu5BLsb4znuszGo3RWc780gkWFxe5fv09dne2GY2n1OtNzl84x8L8IrVaAyFt30gpin+2j0+fPkO32+Hdd97mq1/+MmfPnbNE3XCCH0a0Wx0azQ4Xzp3G8VzSLCNJp2RpxGRs5ZJazTZBELC/v49WmtFojO9HOI5PGMKpU2fZ29tjMpmiNUS1Os1Gg8BRSCFx5IT+cMR+b0C7u8RwOEaIDD/wwUCapSwtneCxxxTvvPM2Tj0kDEMGg4HNHDGWII3juNKql44FxBzXgn1CykJShUNRziUxWUL1ldeOsDJPGNjf77O3t1fNW0IIoqiGlE5BhjpV9PQssCeExHPLBXyphw+uK/GDOo4bIr2AVreOzidM0hGO8MlzxX6/jxCaeqOOlIIsT3GkwGhIUxu13W00yLOM0XhEmqQY45AmCYEr6LSa+K6LVgovCFhd2yRJcjq1AN91ubGzzsrSh6jVQtY3++z1J4SNLm4QsrG9z5e/9jzt+QVc3yXNYjzXRok7DqR5iutYORyV22hzIzR5rnBcidGGMIgK3wJFGAbU6w2MGSGElTATgO9Z0nQ8HtPptItngv0+jC4AXwGGIstNOKjMytTt724hL57DERnfefErrC81aWrNztoAJziJHy0yXF9lriF5/g++RpqtsvDYSZANIlfj65hm5GOkonXiHFtXbjJNFTKosXbtOovRmM9+7BHSZJd0GoEZ0O12CULFzvYmw77iYx/7MN94/ivs76/yi3/pv+Pa1XU2N/o06x1W99bwnJxBMmZ04zqp0uzubBPvb4PQBI5BdzucPXOWXGm+9sIX+bM//xeYDhJee+E1Wo2IdrvFiZMdmu0zOEGG9HOkp/ECzxqfuz6RX6Nd7+A7NYx0SLwE1xVEuYObKsb9LfYG7+FkA1KtWVyag1zQ3+nTMyG5CKjNRYx297k2XufkQ6eYbzcJertM93vceGuVqScZZTl54OHWIozjItKEZtAiaM8DCWOl8RyH4Si1MhyOYDiZ8uJLX+b1129w+sxjTMcxoeuRTwfEMmF/JBjHOe25edrzc2xsb/Khsx9ioeOzMu+wkeSs3rhBs3uBZr2J5xsW5hboLrRZWlngG99+nkwlZIpCZg9cx+BqhW8UTz/6CNP+Pn4QcevWDStp6dnnqeJAxtF1nIJcdDDaZhmU3Ore3j7Xrl1jMp7iOC5ZZn01hOOwtbXNF7/4Jc6fP8/p06d54YUXSNMUzw9Ba7S2slGOMBilEGi+8IWf4BMf/yjX3n2L0BUYZU3KP/TsR3nqIx/l5voq167dpNU5zZlzF3j32h5KaaTjICRMpxNAELg+joMdS77NXsnyrMjOTFB5gO+5IArlxTynN+iT5jbjJU4SVJqgiwCVer1ePOPdKiPDcRwmhcyp7/uV/0eSJIfm0Fnfj/L3cptS1ldtaWmJt956i+l0iu/5uI5rfUZKA3dps/mOkivaaGvkXmSzlLJZs3KGvu8zHo8p5TnLOdxm6h1Ic6VpZgNWtDjwiCmzYYRTrSGjWsB4uMf5s6e5eP4CL75y2cqg+S7TZEIj9DHC5eatLV566TJnfubzjMc7OKHzwOvlH5Q/mvJBe2+qyswL5SEjdvhgvXB/L6IijwtAPz4o/Z7Xfl+g3ZG67oscucdmc/SDe/xujvv8uPMcvd7jrn/2Ag7VYY3WDYC2oFOeOUxin0RK+u6UoR8yCkI8rQhEjosuYgUsqRGQI6VBOwdW3coIMuOgkUyFC3jkWlJKmllixALVTpkxIvQB6FV1WBFVDMymRh2Kmr9D31cAOLMZIgfncjA2s1mU+96pnsN9dqev+njC5C773mP7UVLsQbwFygyeO56nqutwn5rqd7ttJg66+vu4eo/+fdw+FcwpHlwcZfbaD8bCMfsVJzIFeGk7wmZnVBlDwrqjGmH/6fLqjDgYe+9r0jrscXO0WGLEZoxYcsT+rg9RHyXsbDjsuXAA5R7OGDly3mNIkcN13N5vx2f33KV/jxA/d9rvezHtv78ym59wf+Vwz/zRtfx7X+715Lo/Cut+HjsHxMDMHHJkHi9JyEObynmlIEcE9p6cnZHKp8DBE6a6S6r7KTeSzDikxhIjmbLkiCqyRUoprVnfscMP3Hv1QuEjcnApVD5MwiCkKeZVMcMDmwNy5Ljyx3So3W8Gx23ZNg/UD7N35YM9MR6IGLl16xa/8Au/wO7uLouLi3zmM5/h61//OouLiwD8s3/2z5BS8vM///MkScIXvvAFfv3Xf7063nEc/uN//I/88i//Mp/61Keo1+v80i/9Ev/wH/7DB2p0VYSgM9fl1JnTBVCpUUazvrlBvd5AFgbik8kEhLAv3LmxGth5ThRFKKUqMmP31h4nTp6oXogXFhYwxjA3N0ej1mB3dw9jTJWBEIYhrVaLfr9fvVzfuHGjImiGw6GNrGzUWVhYoN8fECcxge+z3dtnMh5Tr9dxhAVJTywv0e/32dnapN1sWiNOk9No1hAFKVB6DSilSLSiVrNm6p7n0Wo0cF2HLEuZxDHTOKbVmUMORgwGQxqNOnt7+yRZRqfb4WzrDJPpmLX1Nep1m11SymKVpIcxhsFgQKfTqcgDC9ZGlal5qfFdSovVajVWVlZwHKeSsCilwMr+DMOQ0cR6UjgYJpOpzZ6pNxHCei8EtQgHGAz6BagsERhWVlaIooggCKo2rqyssLu7W4EX+/v7Beg+JEkOsjuSJMGPIlKliAu/mDTNGI5GpGlKFNVpNGpMpjG1KOBPfuHzvHXlfyQIPDqtBoPB0JJIQtJutZhMJjiuJM8zjFEsdObIc8XN1XWeuHQOrTKiWpPJNEXLgBtr21x+813evXKDNBfMzS8zTmzk/mgcE9XrLC3ME9Rq+H5ErnQRTZshlCbJ8srgOs9zdJ4jhbRTvtb4nmcfDtJ6L2RZhhdGlkxRMf1BHymsTFsQRKRJhuv6GCHZ2d9n6eQSYRgBhdZ9nDIejplMbR+eOnGCwaDPaDCg1WiAgdOnT3H65KnCIFcTBhFK58WkZserEYY0T6jVajzzzNNkacILL7zAaDjE90Ja3S4GwcrKCbJcIYTkQx96ilotIk9iVJbgCBiPhoyGQ5rNJkoZ0jipfIaWl1fodOYAiReM2d7eRpkcCQzHE2r1Js1Wl9pwzH5vaO+JZpvhcEiaZczNd4migDiZsHLyJLnOefPyG3Q7HeY78wyHQ3JltZFDPyJJpjhCIpE4wgHHPra1ooqI1kaDAM91caRXAWo2elgSRm4hyWIzUaJ6rYomyDPraWOBQHA8H1lkr2itCp1/U2XEua7NTHOlh5BOESon+ea3X+LlV1+m06rxqU88yyc+9iynTizRrEcMe32y1JIKaxvrNJsRURTguC5xkpKrhChwrMdIPsVzcjKZIGSII1yEUASeS9hpM40nZLLJm++8y2SaUqtn5OmUbDrhp3/yJ3Ac6A+HSC8A1yNHMLe4wOTWGt/5zne4cOE87115Gymsd4rSVtc/TVOENriuz8HyBoymmlfCoGYlFN2MIAgxeoK0aK7NMhEeSEgSReDXCIKQLEvQyi5OpFNEFBgNRiCkC9LFlR65ihmN+jTqAR964qO8+85lpnnCxYeeZGNrwivfeZH3NrcY1QwvP7/K+adO8vmPnGM86OMNesSyh9ffwQcS2SNPUgaTjMbCEs3uNvXmlFpth9Nzi9zYuIojhvhuSpoM8WST0ydPMO7v8dqr3+a//z/+7xB6yLWrr3D9xoiHH3mWxz/+JDc3buL4TVYaSwg8pHBIJgN2t28wGW4x2N/kzbX3+DN/5ue4/Ma7fPWbz+MLj7/0v/2zfOX3v8Jbb7zJ0twn6J6Zp7vsEnUUXj3HC1xqYUQomujUJxtDnoFwXSQwmaZMpzGBk+BGU+rJBDXdI8n7RK2TTEaK4SAmqq/Qrvts9UY4zZDBfg+u3mRpaYHQbZDUYZLG9McTtnb6vLu+RiyhPd+l7rmcbDcxGmqRa1OmtWJ3t8/uzh7Xb95ge3eXTBk++tynWVk6y7WrW4R1QeB5zDUbbG7cYmd7ROtEi0uPP8nXf+83+MjjFzh9eon6m2/hJJqt3XVWBouMTE7X81m+NEdQC8jyKRubq0S1gHqjwXQ8JHQ84smAZhCxtNDhzMoSr715mWc+/kmu3LyF4/gF4ekQBB5ZnlcAuZB2ca2UJvBtpmWtFrGxtUOSKRSCJElRuSYMI0ajMb/1W7/NeDLh05/5NK++9hrrmxs0Gg20UjiuiygIcd93GQ16fPTDH+Ln/szP4kpYXphnc2ONC+fOIqXDZDoBR3D6wiPs7vWI05yFhSWiKGKv3+fCxfPoqzHr6+s0ojrxdEKzWaNZr6O1QmUZgeshCxdCrW12nivdyry8PxgxGIxotRq0m3VqtQZZMiXPcxrNJnkx/6WFZ4jneYQ162OWa9tHymiQopBRtNHCs74g5U84kFPNsoxOp0MQBGxvb3PhwoVKjlBKWcmpltKEpRxXSZKU7S9LSco4joPrWlKoDCKJ45gkSfA8rzB4zysy2hhJFNlnxKyZe7FsReU5SEEQeKg0w/ddPv1Dn+T1N98l1ZoszfF8adckfkCWZHzzO6/yzHNPsbAQMR2P3t+a+Qfl+14+cO9NwAxa8MEiQb6f5YGufQZsL8ENbuMI7o+A4R7nvR8c6mhg7J1+F8ccdxwq/V2NgQLIKbzcTC5RqYsSMPFD+mGdRpDiC0VNpgQirwArQeE/gqEmk6oZuRbkRmIEuCIEAaly0FqgtERKgyt1RVK4RfZICSrPAmZllPLR/IYDEHu2HJYPOkSKcCClVZImt5Mi5ra6uA3XOg5cPvzze1FuIxZESRDc35d9e1sOQ+RHY7jL3j4A2AsypJCvPEyd3OlMt8GNHADVs9/rg5XZkXCULLi9OQXZJ8pr0dU7hxYCRxqMLogRqTFaVu4GFsO9d67NsacFZn1vZr08SrpDG1FEtUuUnJH4uQ1pPOwJcrS+2T6cJUSOfjZb3+G6j0h0PeB1Hl9u/+7vdd/CtSI+AAEAAElEQVT8YZb7g/yPlj+mSPUxZfZ+O/jk/dVTFjP7W5H9NesBIgF99FhRMJW3zQJl3TPzevFsLvmVkv88cB+5BylSZItk2iEzDrkpskW0PDBnP3whx17vocdtOf0due6qVwspLSltYBmzl3vb8X+cy8H7z/0V8b6vXRQG7Ifm1AcYvg9EjPzrf/2v77o9DEN+7dd+jV/7tV+74z7nzp3jN37jNx7ktHcsrXaL8XiMUspGZGrFeFxmgVgPkWaziZSyIkhurd3ikUceqbIPsiyrsgmMgL29PYIgYG5ujlohE7Gzs8PW5jaLC4uFFviAwWBQRT5auaAavu+zvLxc1bu2tsb8fJdut8t0Oqk8BACM0aysrJBlGfPz80gpuHVrlZMnT9hoRSFI05StrS3CMGQ4HhME1lw4SRKWl5eQwP7+HqEfsLK8TJ5lDAYDer092t05QLC+vo7n+bRabQBOnDhJEAYk6ZTVtVUWFxc4e/4c8SRhMppWhEeZObO9vV1Fr/f7/SrScTKZVMB7EARkWVZJXSRJUvVLGV1fZnU0Gg02NzdptVs0W00mkwkbGxuAYGFhkSDw2dnZJQj8AlTwWFpaJE0SsjxnPB5z4cJFdnd3C8NqCzjdunULIQR7e3ucPHmyyvqp1+tordnf3ycIAqvfvrlJo16n0Wzi+zYbYjIZV94pJQmTZRknTixz+uQJ3nn7DTAByTTGQeD5gTV4VRnTyYidXcHKygoaqNcarN26yfr6NgvzDZaXT7K92+fW6g4vvnSZm6ubBFEbowSpKVP2oNHsUKvVqNdbKKUYjYYEfmQJndRKhXiuZyf0IvpUCCvRofKULEvJ8oQwDPBcSb0WMp5o1m7dotnpEtXrzM/PY4zCcwTojK29XcJ63WaaKIUfBIWJdaGp7lhptiSZsrBgCa3nv/48WudEUY1mvUEjisiSKa4bIIwmTWP8ILQZFLKQnousVNZ0PEEIuHjxIpcvv0G/37OSb/uKRx97jKeffpzf+M3/lTTNOHP6BO++s83rly8jjKDRahH4Ed2FhUqyzXUlKsuLe2WTWq1Oq91iYWmpAsfqkc944LC+tkaz1aHVmeOxJ59iMJhYmTrfymj1ewM830YXt1sd5ubmEAZef/01JKKKbDbGECexjRwqgDagkGfRlWlvqUE/q5tfepCUUcilZEtW+NxonVuzc+kUmSBiJjNEYoo6ynuyrF/g4DoeudAFKeOgVEZGThiE1KIAjeH3v/wNvvwHX+Ps6ZN8+Nmn+fCzT9FttxFGIz2XTGWkwwmB5yEL/6Hd3h5xHNrvvBYShj5xqjBa4DqKXOd4rksU1ZlOFKvrmwRR3faJgUY94tzZ0zgSXnzxW3zxS18iTjUrp06BgfPnz7K9tcNcp83FC+fZ3tquMmNyo4nqNbLMRtdrU0h5FWTrZBLjOJJOx2anqVwTNANL+qWpvU9zTZqD74akacxomtBszbGzs4XrlJI6VJHfoEE6aGOXU7v7e9zaWOXDzz3D5Xeu8NilD5GPhly5tc43XniZt1d3iVpzSNdFNtq8dm2PR9fGxIOMpnDoNGvUabK7sc5ebAh8H2Ukvf0dRv0txu0YYSL6uyNCJ6Fb92k3QhwDaTzloTOLfPH3foNPfeQZuo2ALE954rEzXHnn67z19rf5wpP/DdFSm7dfv8b1q1eYDjNUlpPlU6KaoNVoIh0Y9npEtRb1Wo3RYJ8Tcx28xogf/rFn2Lx0mjdfu8zb77yBCDIIJwQtaC/UmZubY6G7wkL7JPWwg+OGmDwnR+MGEUGrjWJEngzQbkiaSqQj2N28RdRYpNVqk5sYXwvm2jUmcUK9voDpTXnnnSssnTyJ326T+hHL8yucfexpHplOWN3bZnc8YtzbZ213xOrGFtNJD5VZMjQMG7iOT9jo8qGPP86jjzyKND6OiWhsJzajbDhg2kvpxz2mI02iXM6ce4gbFy7y6nvXuXDyBN1GnXc2NpikildefpWzp05y4sJ5kjQhqIdcv36DV176Dq25BvF4SuCGYBRRFJAlMRefuEQYhhit6Q/63Lp1kxMrZxiPxkjXpdvtkqQJyrOSm1mWo7VBa4HWAukErG1ucfXqe/h+gJQOGI3vBxgDv/Vbv8Xaxjp//s//eTa3tnj99ddtQIXjYNBkaYzvhyiTkaUxYeDxMz/1kwSuxJiMeiNifn7Oro2ElaYTQhCnGUpbcuL5r32VnZ1NgnqTXn+Pn/6Zn+R/+V/+ZyaTmCAK0Eazv79T+Ky10DpD6RzPc6pgCUfYLBdRj5iMp2xsbNLttvEdB4HGFM/qUvZKKUUQBJU8VRCETKfTKsgiK7JBy2xTIQRGm2ouLefVMnMjiiL6/T5RGHLq1ClWV1e5cOFClfVRzhlhEJLl9plRnrv0Dylls0qSpCS4Z89ZSny5rluZwsdFtkvpNVKuI2YJHFnIadlnBShjAZdWq8FgHPP0U0/yyMMXeOWNy0jPwxUOWhRjxPW5eWuD3/ydL/J/+O//9yTFOvIH5YNfPmjvTdV75pE3+ENAkLjru/93VY4HSh7suO9ZuQspYIrtt9k0HCUcHqC++7qGe5EmxxAhM9hztUEUdZnZfe+HHDmmkdXlzp6vbGuxURgB2mByiU7BaJdp6NNLImpZSk0mdBwXLdMCBCsIBWMQhTm7FDaLRBlJXuRkCCwgLTObNZIprIxWmS3iWFLEylrNtLio+wARuTMhMXvps9bWldk6Bxkjto2zskoc9Dczv1eEyJ3Pe+izOw6O782dWLXJzNZ6f3fVYYD0oK1HMzF0se2AVLJYR3nAwf7i2HoPtXVm+/shjmYpgFnCAQ5A/+PqKzNFLAhaUioSB4MWGiMpfD2KWoQ1fjYz96DhwQA9C+CVfxwAebNkxVEgt/RA0Nj3ztkMoXJMViSGmCVHDnqoIrLELDFyzFi+7djDbTtc3s94NXep76DO46at2875PXlQ/BeBRN9WSnLwXp10r8fc4XJ7fYcfg8c/WErSo8CwD93jZW6Zrfm2SevIngejwxTEQ+kZOru2mb16iiM1TnE/WTIk1Q6JLgkSSa5FIaNVnOnQ4unItR99HjOzdih2MaZsZZldJiqfESk1xsiC3Dn8kP9eyXr+kRZxh9+PKzPs0/u99ur7x/bvg1TxXXmM/FGXLLNSKOXLtef5zM1ZDf44tqabGxsbBflRmPU2muzu7tLtdmk2rUF0GflXGoGWPgT9fr8aoM1Gg8FgYOUZfJ9ut2vBhThGOg7bOztMJxNOnDhBEAQ4jsOpU6eo1ULGkxHj8Yj5+Xk63RaNRoPmsH6QZXLzGt1ulzDyiZMprieZTqb2s9CahAdBUHgYCFaWlwgKSTCtFVmSsre3x2g4JAhD2t15QLC8vEKvN2A8nuD5AVtbmxijWV5ZxhhrAplmGWubG7jCYa4zTxRFjEajSk5rMplUklxZljEej2m328RxzHA4rOSzwjCsQAbHcWz/SMn21pbV2S7kzNI0pd1uE0Uh+719tNY0m01rOK9zstRgdI5WEuG5ZHFCOo2ZTEesr68TBjV2Gk2SNCUMw0qObH5+nps3bxIEQSXBARbsXFhYYG9vj/UNG2UrlUIbS5yNRpZIcwM7bpTWjEcDK9fUG+O4Pj/yI5/myr/4fxJEIfV6RJxoHM+aj/f7fQbCTrELC4tMpjGu4xIEEW+99Tbtjz/LcJyws9fn5Tfe4uqNddygTmZclHTYHUzwvcB+b602zUaDNMvQxuBIH6UMGAuUC+lgTWM1ubEZAxj7QtFsNVhY6NKs13jv6hUm0wmjwYCNrW1OnDpNWGuQKYURgsALyNMYKRzCqMa5C+e48vbr7Pf3rTeBKypdfEdKfN+lKWqsLC+yubkOaE6fPs3q6hoYS5zkeUYY1DAGtFI2o8E4NvNBpWRZAS5JKzXVXVjk7IWLfOc736YhBbu9XW7cvI5BsbmxSpqmfOUPvki/P8QYSwT0ej3rL7K/y/qtW0gpOf/QRR55uMv29iZKK6JaHcfzC4+cMUk65bFHH+LRRz7L1avXuXlzDYPgYx9/jDcvr/Ptl1/DTBMcKXBciZMmRJGP1go/cHniiSdI4oTd7W0wVvot8H08x8rAWIdiYcFGx77uCSMxSoOwP1Weo4VAOPIQ6IYjyQo5uBJwC2RgCcdK4kXiekElG6NVjnS8isTLsiLjR4PneBgPGxFtlH0JEg4GwWgaF8bJHq5X49b6Pteu/zZf/vLXOX/uFI8/cYnHHn+Y/z97fxZsSXKfd4I/d4/17OfuuVZmbUAVCrWggAJIgCAkggQ3UeImtdSjkUxLd2vmcczmRbO9zFvPmPVM26i7rXtsTNNqLeS0WpQoUlwEkiCK2FGofcvKPe9+zx67u8+Dxzl3ycyqzEIBBCS42b333DgRHh4RHuEe3/f/f1+r1UYKA9ZJv1gqrM6JW21MTZBJ5SQNtDFkVU4gNIWpyJKKwQw2txxBVRUF2WzC6soycRyyf7DL5XcuuUhzXTHY3aXZboPx6bZb7O1u8zM//TP81r/6LQcel5ZOp8dgNCUIIpSqTRqs05TGgpAWYyx5XhIEzhepqgydTpf9vX2MVUgVOtk9o8gK2Nze4/zZs2zu7DgD+vpcuR+3DysUGg9rBI1WxPbeNvvjfTbOnuba7i26zQZ0Ih595gnk0g7f/PbLRFEPg2X17MPEfoe2nxLoktFsws5gHz/0mSUZAo9+u0FpDLNywnQ0Igo/jE5LvCqnFYZUSclqdwWTGK5dusx4d59P/7UvEElLmow4t77ML/7sT/CHf/wd/uDf/C7PPPsczz70MOnqhFvXrrG7s4P2LXmVM9oZ0V9a4rnPfILR1piz/dO8fusFlj68RNXYIm50eKS/QeALhvsZWa6ppCW1KYPdKbe2Z0j1Dr5/1YEXXoQIAjxf0Gx2iLwe7QDaYUaTiKY9Q8OkjA+uUeYlnbUAo0L0tKTttwkiyXA2g5aiE6yxszdEzVKmumJclYS9LstrG2ycPs+qX/tTVBW2yijyCbrMsBpa7T7K84mbMaXOeefmDTavbXHt8ianVx+gG7aIpMCTPn1vmZdfvUy72+DsaptHP/IsX/ri73H69AN87if+Atf2fpurk5Tx/j5vJSlf+OznkGHIS6++wiybEfgBprD4IsBkFVGgwFRoU7K2vs71zS0efPjD7A0GTKczWq02cSNGSoUxln63R5Ini0AMbXHZEFqzu7fHW2+/6QhuUwC1d0VR8G9/+3d54423+OW/8qv4fsiX/+z30dZi56So1gSBD2h8JUmLgl/+y7/Ahx99mP29bSJPUGUpS/0+g8EQKwRxs4mxLqChqzxON5f5yGP73No8oDQl165eY2kl4pM/9gl+97d/j7gT4SuFH/tURYGS0O106ggnQ5HnBJ5PEPhUlV4EVRRFRRjGLrtIKrzIeU3Ng1nmMlRzf7IkcUblrVZr4e3k+77LBp4TCrVsoLAsSOH5d+lshq8UeZax1O+zubnJcDik0+ksSJR59h2wCNyYz8PmBPQ8y/UoGTL3oZvPY44SPM4TrUApJx0JFqUEeZ4Sx83a60zXGUNO+lApH7SmKipUEOIrELLic5/7MV6/9AZCKYqiAisxUqAQeH7ACy++wp99/ds8cOHsBzSL/lH5j7G8CwZ+7Pvv1b6/JyTH+y3vgf4slCxOnrR5ZOeRRXdEk4682H83xz7H+e9Y//HdHNuLqJGhOwTd3mnD925Dve858LBokp2DRxa0ACEpSo9ZETHMC3oqpPAVBoG08/PqQB/nzGQAjRElLZVRWnUM9lLCBTbMfUQOSQrjSJGFdNAcDRPHjbzvYLjyroc995HgyH7mILM4Itm1ONtHwLiTy06eRO61HxyXPvpAijj64b175NHre+e63BoL3fw50Ckssr4Gdo5OHjlBx4DDE3Uea9l3efjvdv7ueOT1Tuewq8Fde6enZRHGIuZKlnXmhrDGye3MwVnrsId7bfoCFK5PiJz3sQWgeugvUhlJKRVl7TVijhyhOPIj4bC/LoiHE+SGOHkOLHfqt4dE0lEy8IN6lt+erXLye97j+7t/9923597LD9SodsdyOHS81wzgvUmRo1vejWy5+9Aibltpsa7AeYDWX96BC1ns9XaXo9sHOXtUF9AebgmHko2FUWTGIzM+WRWQG2/hMzL39rEnxo93P5d1206Mj7dNFKxFSJDzx4s0aFv7KC0IkvsaMH6wy70ew50u6/3u58Rp+55ljPygFafbrEnT9JgZZpqmGK3p9/uMx+NFtF6r1cKvSqqqIMuyhafGbDaj3W5TVM4gfJ4pUlXOo2Q8HrO2ul5LDLF4addaE8cxrV6PdqvF7u7u4gW8KAqEcEaj7XaTbqfD7u4unieZ1bJN3a7LDAh8nzzLiOOIdqtJkqT0Oj2GgwE7OzssLS25G6QGZgdVia7KhTF7Mp0R+D5RTQo43W3JaDzC83xarSZ5UTp5MSko8hLpCUbjKUJYfD8gT/MF8aO1ptls4nkeKysrAEwmTkJqaXUViYuG9H2fNE0XkZbzbBFjDN1uF1l7fMz9Q3q93iKycjqbYI3BU4ogbjA4OGAymbC0tISUkmQ2YzQYIIBur4OUkic/+lGSNMVqTRSGWGOIo5iqKqnKirgmkWazGao2owUnSQQwHo+JIkeAIEQdNVrSaDRRvld7p0g8TxHHEWCRSvLRJz7CxYsXuHZtkzgKyYsEJR0hMJtOCCMnWzUaDum0e/S7Tc6cOcf1d14iTXJ6/YCtnQO2dw6QfgNUTFEbOmkj6S2t0m61UML5OkjhUsalVAil0MYsItldOq2bmFhhFxH0QlrazQb9XofVTz6Hrir+yT/9p0jl0e12GEymLovAWrQRFGlCM3Za7n4QsLGxztbmdfIspdVuMptNsGjyPEVIiOOIuBHz2huv02g08HzP+d5EEWEQEHgeRZ7ihxFhEFFWJaIGl3zfR0hBUZZoo7E4o+uNjdOU+utUWmMxXL9xle2dm/X1EuzsbuPCcyQg8IOAPE0wRlPkOXGjwfBgj9dfLTgYj2g0m3i+TxBGSKnwfY8giMjKjCCSLK+uMUsLrly+xr/6rT+lKCuazRZKeeRZBsJQVSXTaUKjEQIRvvJ4+umnefXll9ne2qLb6ZImM6SQBH4AWCfVxCGwNs88qMqyvnZ1CLHRiwhi95w4zEKpajI2CpxmuOf5SOnqEfXLhIualottnPG7q8NTzhPG85Qjt+rPSimkkmht3eAuPCw+QvoEQUiaS15+7SqvvnGZpS91ObW+yocffZCHLz7AUr9HGMEk1+ztjmnEAVIGCARFkeIHIZ5USDRlUVJow62b+wwGI9qdVQSW/dmM5z7+GGdOb7C1u+meURYi36PMM2bW1tdAcf3qNR558CE+8vhHeOHFl/GjgDSviBotBBKtKwc8CtDaTdA9pZBAlmU0m03SNGMymbG8tEQct8hLS1YJjPXRlSYvDXsHYy4+GOOHTqpOCIGydmGK7a6pwaJRViFKS5Jl7O+MCOMeBp9K+tggJmz6/PinPoSwAa+++VX8SPKhziqRFTz74bNEMkeVByh7hnyW0JkVvPTFr3P5a39GsxESlGP6jT6b18f42mBIUYFg/9YOnlGEMmR354DR3pBu3EKnu1BNKUpBv9nl05/4OC++doWXvv51Xq40vXaH1aVlTq9vOAEAz2dpbY3RZMr27ggpXKRKc3WDkZU8tHoKEsH1t2/y4KMXufbWNd584xKF0RSeplIG5Vuk8qisoUhzqmo2f/Nl4A/A3iKQJRFTGiZjJZL0vIrVno9QA9Lc0Ow/gEeHLBljcstqu0lSWkzgEYQtRrMUkxXMspzNW5tc3z+gNBoV+ERRkyAMkVQIW2CqkiiK2L6+w2Q2Zfdgj83tG3hK0IqaPP2xp1E6ZPfmFlNtaEUN2q0Wk3zMW1e26Hcu0Fs6xRMf/TG+8o2X+Ownn+Xzn/sJ/vFv/kuIInRW8kd/8mU+9OGHuH79Cmk6xfc8PDxMZWgGMcak+J5Hd6lBf2WJsNFiaXWd1y6/g6f8hR5tu9nGaMMsSQmikLLMKcoC33Om5LdubrKzvQsIgiAkywuiKKbIC/7w3/8RL738Mn/lr/wyUaPB7//hH5LnOXHsJKe0MWANSnoYa0myGU985DH+yi//EpLcGYDrgjjyGQz3HcEqPLI8x1cgrSWbzcD4PPbwQzz//NcYJjN6vRbf/vY3+Jmf/QIfffoJXnnxNRphjN+OQTjA35mcd9je3akN2VkQFEVeUMUxu3t77B8MaLVO4wcBzdBnb28XISVplhKGEUVZ4Hm+G9OkRHkeh9GaLIzND7NKQvfCUUteaa0XMlVFUbCysuK81jyPbrfL1tYWnU5nkenneZ7zRTmSxTefHx71FJnLfs6Paf7ZZfc5ua65VKiT3hILWa65j0lZVTU5LZysnziUWJz/VFWF0QblBxQ65cknP8xHHnuY57/yAisrp5nNMopcE0Ue0lekRcLv/N4X+bt/7+98IHPoH5X/yMsJHOE2EOODfhm/W+Dn/W5zj+V9Nf84vnF8+ZFIxuNAyxzzFXckUO647nfRtPd7LhbN/wCv60LpZF6toSZGoCw9pkVAkEfM/IAidBG6SpjjdQBqbmIuobIFxnPz/rm3ggBUDRzPswAOZa6OA1XHo4znjZsD+PP1OCRzFt/XH49E0M9JGAHH9nU0M4Ijyw7L0fru5UzeflWPAt0fVJmPrccV+O9exG0fTlZ4HNmUCzDfyU0p6zIdzFwvv27FEY7k/e339jVvWzrvLfe+1XFMbm5LYwGkQdo602n+CBAWaZz0m8BJWtmjBMk9lqPA/iHxVvetev/WigWQm1uPyCgq6TJHjHB+IwtyijmJcfh3TpLca3vmBAlHPh8lUk6ev3c7n3f+zt72/f3XceT7D+QmOS6ld7/b/iCj1ycT5+5/DDk8vjsd5Uly5Oj+bt/X3c/VYZ8Xhw/pO6x7cng99l89KJ0kDA/34MYUbWVNivhk2ierfDLtURhFpSXaOH8h99y6/djs4WPvtuWH/ftwcDw+3XJyfRgw83tWCIQw2BqH+EHuTx9EueuQ8m5f3m/94vi07F7KDzUxUpUu+6DRaNSAPIuXW6kkWeaMg30/II5jsjxD6HIRtbm3t4fWmlariTZOp98YTVWVFEW5MFcPg5AoChkOhoxGY9bW1hbG5dYYdrd36PV7zrchCJzniHQ+HFWZY3XFZDplud8jikImkzHJNCfwPQpj6Hc7C6+SyWhEUZR4KqDVbDNL0mP+HL7nkSYzgsCZuUpBHd3eRErpQAHfZ2V1je2tHYqiJI5jPM+v/QgMQgomoxlB4KF8D1uWxFGE77kslLnG9pwkAueBkiQJrSDA1mCB7/sLUGJuhB5FEVVVcePGDZrN5qI+Ywyj0WixTbPVAAxFUTAcHJCmKa1WiyAICIKARhgSBE6nfZZMieMGvu9Rjks8FWJr743xeEC32yWdzbDaOC8H5ZFljixrNBpEUcx4OkHVMhllWaIrTRCFSOVRVAW+tWhdUVUOHE8SF9WK1vie5Md/7DmuXPn/0Wx2GY3TQ0C7LAlCpze+t79PFDbQVUV/aZnNaxE3bmzSWz6NlB5pXtapxpK81Ph+yLkHztDv9UlmMyTC6asLn0oXSCEIfI9Klw6wFaKemDizXYlw3ghAlqfOcHY2o9GIkVKyvrZO3GqRZi6LRQNoQ5HlxFFImsy4dfMaPiUbp0+xtX2D/YM9NtZXkNLQ67R4/bXXqSpNs9fCWMNsNqUsS/YHezSjBlEUgHXeJlJ5lMZga9kTQR3Vq51UkfI8hJQYYynKiiCKaDSbVMaZdpdFRqVLPN9FWTvvDo8sLVDKkYee52GsxvN99KTk0mxCHMVoLEEUEUYRcaNJr9dDVwFBGDCdTnn5lctsb+2gtWGWpuRFSaPRJssLWq2Abq9HnqdgA7CaXq/tSLAkwVceTzz+BN1Wh3cuvYMn3GNTItDGKcsKIbDaYKE28hZY61L7lVRYqAkU6e5ZHNBmsTWxKCl0baAsvYWWvpSHcltSKoSYg3f1OVUeGIuSCmENgacoKu2AQOGio63RNXgpyPMSYSVKSkxlqbTF8yKarZjRJGNv7zJvvXWVleUuF86f48OPPsy5M6eRUuAHEUY7wlfIqvY2sShPMs6ndJfO8OZbX6UoSqpKY4sCayue+8SzVJXrz7/yl/8S7Vaff/1vfoeD4Zh0NsVXiiiKyYuCrzz/FVZWnVdMklf4UZO8tORFiR/ECKsR6DqixJGC1hissQgZ0mz1SdOMNKsw1mXkjKcFQiqUAKFikmTINMlodboMBwf4ngIsBouUCucTUxF6AmEF0oAtJPtbIy5cbDIYHhCEgihcQrUM5888xMovbJCUW0wmB5xaXmX/5hUmwz38wGKVxo8i3nnrEstRgwsPnmeoYzaWe6y1zxD4FXt7kqZw90gmS2Ts46sIjGW5t8aHH/4I0ij2Dnbp9ZuMpzmjwZBILfHsk48xGI9Jk4LZNGcwSUnSEoEiajSY5ZvM8hTpewTNBp3+Ev32A8x0wr/7ozf5mR//DE899yDfef6Pycod/sLnL3Lp8psMkjEiijF+iBERqBjfCwmMphEGhFEbPA/hWdotQ0vNiPWYqJwSSwjCCh1OSYoUuIVWFiG6aF0x2R8hvCZ+q08pBUI16K4sEVSrJGVBVmlm0xllodGlZZZnVGXKbHzgxrsgrNOgDd3OMucvXGBtbYluo43UgpuXbhI1G4SeT6vZQnqKXq+B9TzevHSDi6fWeOTBJ5mNEv702y/y8Wce45d/4Qv8z7/9p+TGcPnqdZIy4+IDp9javoXR4PkBWleYCpT0KYoZZ8+doTAWI32Gk4TtnT063X5NaEqU8rC1/8d0WmCtob/c52B/yPXrt9jdGTCfARaVJoxi9vYO+LM/+zMuvXOFX/7VX6PT6fAHf/D7TKcToiisydW5n5Shqgq0NaytLvM3/sZ/wsbaCge7N2m1GhTJiOHowMmZaYu2lTOPxxIoSSeOGU5GjIcpzdijEgH5WLC01Odb3/wWTz31MXZu7eArH2kNpckQtX9aVRWMBgM63S5lWZLnziukKCq0MehKs7u7x6mNdarKYCOBUAov8LGZoKiKBTliceR7XrjgFG3dGGIqjYBFkIqT0zK1cb1ZEBpVVRE3GosgDSEl3W6Xd955h1nt5VbU5utVWWHmkMnco6kO7Jhnv8Khf5EQgiRJFlnF4KREe73eIjs1CAJH+OvKZQlpi/QUae7mCkJJjHaBIIfPc4mSqh7nQKERSvP5z3+Or3/jJaqycuO21i7QQFQEUcily9f41gsvf8/m1T8q/4GX+Tv+yTfFk8u+F+/k72cf3wUbcEhYvM866vbetclH/lmAIUdkg47WcYwcuTOydHv9J1e5Gxp5vxjK0fXfD8tysp5jf4WLhNWgK0WWB0zzkDT0KYznpEnE8U44v0aqlgQKZenMpZUDrkpfzemOei4tFwC/PAIkuzYdipW4yu0RAuSQHFnExi+wNOF8I44el5gTH8ej7o8DcSdB/iOEyLHl73UiD0mW72U53mU+gP0tLqNYnGsJ2Jr80tQeHCfuge+2HPacu3X+w+wH7rLG3coCBhVOzM1iD43OpQTrSDwlDJWwSFF7Ecw9P2pQ1h4BZ+963Ie46ZE+NidI5svdN9rKhTF0LjxC41HKCt/qOvBNcNhXD/vmSQ+Rd2nGkXK8Tx4lL05+PkpMHj0WeXL7I/fI0TruvP/vV7n9+O63HH0e2Dss/YEqdZ+aP+ju5e44vG1PkB8cduv5vXYvzjNzYuA40WJrj5HjD4n3qu/2Nsy3O1xmjqxtcZkiFZLceKQ6IKkCUh2Qap9ce7VMnSNFOEGKHK19LmF5KPxV7/HYIRy/8Q+HSVETyUfvD+vigHHeRQD3kt3zw1fe7ap+t8d5pO57JIJPlh9qYsQPG6xvnCJNU9LUvbSmaYpSqpZgKEmTGb5fYgUEUYAoM7StyAsHSLbbDbQuyZKylq0qkdYQ+B6NOCapB5gsS0Baoiik024xm80Ig4DhwYDQ90EbrK7I0oRmHFGZCmsqojgADEEYkJcZ0hNoq1la7lEUuYse15rpZEKr1SKZJXjSI8tygnZMFMbMZgnNZoswDMjGYxpxA88TTCZjQt9jeamP5ymMNvj4ID2yNEcgabecqbonPQqKWnZDEIURS/0+lSnRNblhaxP1ueFxkiQo5STI5pJZSZ11UVUVk8mERiMmSxOiKKLZaNLtdTHGMhwMHABsIQpCdnZ2KYqCpaUll42ifILQYzyeYK2l2WjQiB2pAEDtqaC1doB7pbmxuYU1hmbsSKIkSzBYssJJX4RxSFGUNJsxYRwyHo/Jy4IKg7GGssgxxhLFEboqkQRURY42GmksWjugptfpkNfXZjSeMBwe8MjDF9jYWOFgkLKxvsatrV2C0JlEF1nh5KlKBxYnSUKn3aa3us72wYCN4Yj1M6dYv3adqzc3MdUUaQXnzpyl3W6RpjP3gJVgbK13HoQIJamMdbIr1Pe4cYOHEi4jRuIAnKzImQ3HbrkRNNst+ktrlFpTGoNSEqNLfGXpNBvsbm+yvXUDUxXEjRad5Q3OnL3A62+8xYULZzkdrjM42Gd1eYmXXnqNbqdPMp057feyICsz1paXCQPfZSlUJbI2qDXGID1FVWl86Tl2Xkukko4ltyXKEzQaIVEYUJVlPVoIlPTAQKAUSvpUReUmiFajiwysB5RkucH3ApTyKLIE5XsksymNZpPJaEg6neAHoVsWhlBppuMJUnnEcYQxljRN6HZ7dZqym8RGYYgnAWvotlosnTrDlcuXCbyIc6fPk89Krl69SlZkhJHvroFy3hfgCAqlDs26tHbXFKFQzL0/tBsYjXHEh9F4GFSosLZCCA8ppMtaqDNQPOVRau3k9Kx1UlvUkc6eI2nQtSY+ijRzkldxI8bUJKIfeFQVFGVOv9df+C4dDAYI3xE3UoWkleHmzpTt/Tf42jdf5dTGKufPnuGzP/4plvsdjDUEHviywpoJWVWhwhDrB7z48mt4MsSXPtNiiB/5fPIznwIpEcJjZaXPr/7az/HIow/wL37zX/Hv//h5mo0mRruwiYP9IXv7IwoD+3sH/NTP/yWM8PjS89+g0Vyi02oS+Qqqkm6nxebWNkmaUhmY7BuMAV0KBqMhjSgkSSvSxOAFMZ7y8H2DtjOu3rjGxQunGA73UdJzk3hl0LpEegq0RViDxVLahCCOuL55nYfHT7Kxdo40zwk7bUyRcP3GFRDwE5/5Aq1OhM5LfGsRJmSaTBCeR1KUtPpLhEHIN57/OuNK8GYc0IwkG6sr9DsdlpoNgsAgogA70VSVQCtJsxtw8eGLvPTSG+wNbtJoR1QiAK9Pu9sgmUxYWerDSovxJKOsFH7QJPSjOnrPEMYBaaXZ3B+xOxyTFoIkS0gnU77+rdeYPnCKcw9fQJZtek3D8qmHMLZEBg1E0MaPl5FBF2MUqrLIylKVAoPBigQp9jD5mCrZR1ZDfN+jKFOsrogCDylzcjumDCXddou47LA3yBlmA3LRYGeQk1bgNyL8OCKOfYJgGSUblJWTCxRWI+0FpHASS8rzXRaaMFSmZDIas3Njl4OtXQY7Bzx88RF6vWWMqcjzlKLIqDKPqahoRT1W+yGPPfMs3/5Oxm/9wR/w+Z/6aX5etPmNf/P7nDl7jiDy2d7Zp6hqAk5ahOfmyUZKhGqysv4AQaNP2Opy9cpVskLTke7eVUpSVqULBqg0nvQZjcbMZltsbe2wvb1DEETkeU7UaOIrxWQy4Y/+5E+YTqd8/gs/jed7/N7v/x7T6YhWs+nIeiEceYzGU5Kq0CAsf/XXfo2nPvokeepIds/zEVEDCTSbTQaDMUEQE8UR6WxKnuYUZcX6yhIwoN1WNHvLhI2Iyzeus727ia9eJkvGWBWhC+N8r2KfLM3QpsTzPdqdHpV2mRRCCKSAoiwRwPbuPvuDIe22M9ANoxAhBe2WM3KXUjrJRSmRWFT9DmKMm49IKZHi0OfDGLPwDTNG4ymFFRbP9/A8RV4VVKZCSY9Ot00Yh9y8dYOnn36GSlfu2RUFCOHkVouiqI3VJXmeYgwLnxEhRC1V6C3mlFI6U/V5RvGc4AjDkKoqoTZQ1LrC83wwIKQjc0xVYYV0Y31NfOuqIgxClBJYKynKnKeffJzP/eSn+O1/+0VWVk/hK4U22skiWqiqgq997Wvft3n2j8p/oOUOgP335d37/e7jfre70zvx+wFmT5yfY9DQnRiTI+THHcmRu7Xxfo/vJBL5vSz3gxpaF1HvFFMleemR5j5p6VNoRWUVvjUYoZEndyFAWYsvNJEsMQgna8Jc0gQ0gsooNC6C/nbYag75L5TcmeuUG3tIZRwlRxam5AtZRXG0qiOHfzvIdZL8ECc+vPcpOwSgv1/Q1we7nzp4q2Y+5nru7t+aHLEuo915c9gjR/z+y6GR/HsDp8c/vEe9t5EIrpUalxUiBEjjPG00spZZcxJXxlqnBFFnDGsn7fDuxymO9KMjgOtCro3D86lr8/XCePWPT24qfKHRVi58T8S8jiOHfow8fJdzdbS1iz4pDv8/Xo6TT0eJmKNkybyOO5Er8EH3x/sph6D0+23PnR7tdyIRflDKITDP4Vj1Lm29fZpw+7rHh767TSbq50P9nwQXrHsiIEDWJOR7kyx3/+5O99t8mbGCCkVhPXLjk5iAWRWSVI4UKY1cEJx33v+JMWDBMs2zEQ9ltO7YtnqYOTy6I+dkQYyAxWCM5DAa4v31p3t5xv559dKjWV5HPZnupz13Pr4jgQzvgxz5oSZG0jRn/2CE0S7ib1pLVMVxjDYGL/CRnpM7ENJFDxtriKKQKIzI8ww/8FBaMJtO8X1JUEf2CWuYjEaMx2NWVlcQSjKZjul3+wxHByihSJKUKIpohCHNZpPJzBmmK9/D9wPSLKMsDaUuGQ6GNFsNB+ZrTavRREoXoax1xerqCleuXKXVahNFMXv7Q6rK0u/3CcOA2WzGzvYu3U6LsigIgphG5LxVqEmNMAwxWU5RllijiaIAQW0IajVRFNbmoyEtL2YyHhPHEZ7yKUsX7SmEYDAYcHBwwMbGBl4tSVGWJWmasrS0RJIk9Pt9Fx2aZ8jYESXD4QGeJ7l16xae57OxsUGlNWma0WjGtNtNtDEcHOzR7nVJcxbZPlYbF8WuHZOaZhlVVdFsNmk0GsySGbMkYXV1lSIrkEISRhFh5OTKwjCk1W6zvbvDeDJ2IAqW0WRMt9/DWIPv++RpRlFriI9GQ4w2h1JlucX3FEkyW0SeGqPJ0xlho8WzzzzJF//4a5ze2OBgMCbPc/zApyo108mUbrtLVVbkeUGeF6xvnGF/eMDWzg4f/sjjPPbYo1Q6xyLQSHyZM9y/hcUjCBtUhcALQgymBpjcpNL3pIuIx2CtdudcQraQlcpoxBFrKx2MhiwrKIoMiyWIG3hYjACbl4RBQJ5O2d/dIvY9VBDQjNsYDRsb53nttX2uX7/JZz71CV575RXWVtZYW9nnYH9Ifq5EKcVomuF5gkYjptVsEPi+Y7qNwQpNVRmUDHGSWQZlbR1BXacZWxZG3kv9Prt7u468Uz5FXoCxlKJCqQphQQHWaISyGONMla02VFi0KVHSJ26EpFlBlkzxvYBBsU+v12M/z6kyF9EbRQ06vT5nzp5HegHvXL7GdDpFSs8ZdSuFaQS0WwEYyXQyYrK/R7/bI8sLikJy5txZZlnCza1bZEVGs9VwGVxhgLHOHyeMGljtDNWFdZ4qQgisdNMvg8XUxzWXhRF1CjT6yIuDACFkHdjhZN3m/VoY5zEjpJus21qr0vcl48mMMHSeQLdu3GBldRkvCDCmpNJOdi4tUuJWxDOfeIa11VX+v//j/0iz0UL5Pr4XUVQVxgishlvbQ27e2uFb336Ri+fPcO70Bn/h05+i2WySFzmTJKHR7TGZZWzd2kfiuUgICd1ei6XlLpPZGM9zxI8UJT/5k5/ioUceptXp8Pu//8ckSUq/t4w2LsOmSGfM0pTPfvazXLl+kz/9yktkZUDPX6bRjNDZjGZjCSFStm/tEvVXSLKcYjpDKbDaEvqBM7nWAqNDhIrRpkD6TfYHQx55+Bye71HkGf6RSG5l59MViRUa62kKLKUQvPH2mzy3tIEgxJcRoiFI0xme8vBsjyopKE2GkZagEXN+dYU3L10iLwvazSZX37nMT37207SWl9jc3WXv4ICrl69x48Yu3X6Hfr+H9CStdhvf82g2GgRCsrzSx+ocNcsZjhOsJzFewii5gm8F29s3mSQp7f4y2nqEQROFpNNscPb0Bkl+wPkz58nKnMm0xBQWzyg6zT5VJdgZjGlGTd554w1We4IHzqywu3WLrABkGy9eorW0jgwilPFoBg3ajS6h79UvXBGFUehAgS/JTY7wDEr4KCHRJiO3e+SyAE9TyJiNh06RZD43bk1YWm4xyyzTLGFnaxeDpSgVxjQwSlFUuQOWq5JkOnHZJKXLlDC4MTafJcRRzPnTZzh3/gGiKGY4HOErS7sd0+/EtOImuii5emuPWZZy4eIKT37844yTEb/xr/81v/xX/hr/q/4qr71znXany3Q6QEkPz1fkZQrWEgUBaVHQ7fZptFdICkvbSC5duYYXRBgjaqDAgDC1FGFMqQ27uwdcu3rdZciVBiEq/DAijpvc2tzit3/7t9G64qc+/xc5ODjgq1/9Cnme0u11ybMUwGUeeI5M0FozmU74B//gP+dnv/DTVEVJ5PkkGg6GQ06tL1EqRZIlCAFVmUMYUmpNUpQIIcnKnG6vxcWL53jz8ibnzj7I5s6Y0xsRo+HYGc1aw3TiiPHJbIK1hrW1VVZX19C6pChLAt9JM2prSJIEz/OYpSkHwzFrKz16nYhGwxmke0Lie8o9J6vSkTiAqAlmT0mqyiCFG4ep5zHzwA0nY6WdlKSAIAwWEoVpnmEzSxiGXLx4gRdffJFZMiWMAvLckSFzaSxrDdaKhSSo842rFgT/PAtWSrnIOoG5r4jzGFFKLTL8lHL3g9bakb11NJmgjoSr34rmr0J+naWsswrpe3hSUmUZv/orv8g3vvFNKlvW44AD63TlpFe3b938Psywf1T+gywnAVvL95cYuZdygmS472Lv8vn9lhOEygKiuDP2c4wcARaSPLe15Q7bv2dz74Dg2ZPL71CO1fsBX+fbDs3WwLURVJWiLD3KygG5hfXxMXjWZUwfBS7ccVgUFt9WRFLQUAVlbZI7N5zOhaW0EmHUcZD95PmHBQEy/zvXi3frH14gwRzcpx6/XYaAA8ksVhgnT3oERlz0gztgVvd2im8nRX6wyRF74r95Fo91xAd2AXDJBeDvYM55ppC7FvOtjtZ6fy2aE493l6w6BPXv71ocAfDn95edS1Hh3t6lQFqBUgZlnc+IZ5w0tjliji7nfW3utbJo6lEm7bj/x2Gb6/3VHcz1ZbePSrhMqtR4eDogEJpSKHyr8WrcYOEHchLIfdcnzNH+eJQgOfr3eJ89luVy4vzd+RrcXu/d2vFe63wQ98qx6/1d1AF3egwcpwrubQ93Xvv93CN3K4v21veQq/+9yZF3rYuT7T1ccvisPPx9dNuT9c/Xez9HO3+uzwnwOcExz+Sqak+RxATMdMCsCphVTkqrNOoIKXJbrceP+4hU4/wqC8RtV/z27eo1jwweR583EkAKtD3cx3FZsfsrgne/43mP9n6/ynHi7f1sfefa4Ch5dW/lh5oYKWpZLGM0KCdH43kReV6wublJt99HKWf8uXew5/S5w4B+v4fF1H4W7qV4ZXWVPM3o9Xrs7Oy4ZStrGGPJ0gKNptfpkmUpUsg6Mt9FcE+TKZVxL9Oj0YiyjIgbjYUXiRSC9dV1xuMhZ8+eRQgYDAZkSVb7fijKomKpv0yW5eyN9mk1W5TGsLe3x/LyUi015WSHKl1RlCWdbhcpJbPZzGU3TCdMJmP6/T6WEmsLl3GgNY04ptIaISzTJCHLElZWVtncvE6v1wUk01mJNhbPD7jw4EOUZcH27h6tVouyLOl02kjPp9QJO3v7RFFIf3mZyWTAcHuLZqPJ9u42o8kI5fksr65QGQ3S0um3MVqTZCn5LCM2MYEKybIMrHU+Mcr5QjivDxehOTdDbTZbbvKlaqBYyjp60kXkBkFAVVUURcFsNmNpaYkgCBbEys2bN1nuL9NqthiORhhj6bQ7eJ7LWhmPx1y8eJG9/X2qqqLdbiOQtFptB3BZw9NPPcWffeUFptMRZ86c4q1LV/ADt28ppZPTsK5t48mEjfUlyrxgf3ePIk04tb7Kx575T2m1O4wnU65cu8lbb14iSQtmSU46SfCCECuhMgZqoAdrUELiKRcxu9zr0uo0aDVXOX1qgygK6HRbtJsNktmMzc1NNncPuHlrh/2DHbK8IoxbdDpdtm9tcuXyFfqdLoEXkCYJVBVFkROGTZ5+6uO8/dar9NsdOu1l9g+mPPLI42xv77G/N2Y2LfG9BlY474dWs+VkU7RGCPeiY6zAaidp5gAogxQuOljhJMGcsW7AxunTVHXGVFkUDpgWEq2Ny2CosyV8T6Ksi1AvixJqMiDPMrqdiLXVVV5/8y3arbbzD/IDdnZ2iKNGvT6EUcRgNEAIMNIjyzMacYuqgjiKMboky1OCABpxm85SB0+VHBzsMk4S2p0eRZFy+qENouWId95+m9zmBO3IyfN5CgyMJhMaoeeIEM+RrELphV+MkO64jLXOK8NKBGEtByUQ6DqD6zCtX0iJJ52ZvTN6V0h5GKFQlQXNRoPt7W1+4ic/w9/7u3+XyXTCF//oi/z+H/y+kyvzAuKWk6GbJjOm0xnb27tcuHCBdqeLqCOzkzRxg6kSNKIQYSoarQa+J9g72OFg7xYPntug+ehFjBUoP8APG7z14uuMhhO67SUwliJP+OhHH6XR9ElmibPvqCzNMGY6HONh+D//w/89f/mXfpH/23/5X/HiS6+xsrxGu7NEOp7wq3/lV1ju9RHWY215ja29Eq0FjWYHFcW02h0eeuhRrt7YQagQKQ0iaIAw6LxkbzCh0+4jROb6k7BYI/D9Dtks4eAgpddbYufWDXx/TuY4Gbd5v0WAFA6UDeOQazcuc+7cg6ysnSbLcjxPEIcxRZ6jtSZJxwi/wCiJQfLOtVso6eNTsd7t8V/8H/6PvPPa63zjz77KGSF57MzD/OyHPskkLdhNhnjNiPF4RpIVJOOSg2xAks7wlKTbabK+vs7yWkhRJmT51IHG2mOl2+C1t9/g2pUbLK1tEAYxCMtovMvSUsg0GSN2BasraxjRYjyBwXCIrgwHgxG9VsSrr18mm1gCL6Tbf5xXX51w48Y+zZ7PYLZHoQZoSS3fJ4j9Jt1GmyiwRF5G4E/xUXTiPt1YEAeGKNRUeoK2KTKweDIjK6ZIGbG/v4eVDc6dX2aaWcbTik7m0ZxKhuMx2gaMRxlZCQgPzwvQ2hD4EaWv8fyQRquJCnyEhE6rRafVotts4QkJZYmsLNJW5EXCaDhmuD8g9AJazZgkKbh06RoPP3KKn/2Fv4RG8v/6b/5b/u7f/9/ysU6XN99+E1Pl6DJDWEsUBphaFisMYlaX19Gl5eypc2xtbXFwMGR9YxmEIz8R0Gq1GYzGDAdDbt7aYjAYID0PrQ1RFBEEEUEUcenSO/yzf/7P6XQ6/Nqv/yqXL7/D889/mWazQTNuMJtOCersvLkkVBT4XLtyhf/i7/99/sZf+3UmozG+tGgsvufT7/bwlU8lSjzpo0LFbJZy4+ZN/Gab/qmz+EFAVbr5RGk9tnZHDNMQIWNMWaEtKF9S5TmNVoQXK5SSyNpfoyxLLJbI9+vnmcbzHGHj+z5aGwbDIZPpErNZSLMZu2eako4EVR7GuHqU8gCB7wUEYYipx35j9DH/sqOZrHYuuVXLN85Jk3lGR6/Xo9ls8vWvf51Pf/rTTKdTwMmE+r7vAlvq4IyqqmpyQy2M2cfjsQsmiaIj/lFmkSky94xy+9N1sItckCVzbxRhj/uLgJMH86RECFl7JwmqoiCrUk5vnOYXfv4L/A//n/+JU6fPk1UlylMUVYknJJWpvo8z7R+V/xDLHWGQ9xeU+MGW73b/x9HWe38dPvIufccmnCBr7l6ve/Yf4v3iEIB6N4SJe/z+xOdjpMgxtutIVe+F/N1tv/d4Le60qQXQAlNJdKmo9DzC3SMQFYGayw0dAtDz7QQWTxisrYhVscgOqYyTEkJYMD5zU+o5FHy0jqNkyNGscLMA5o82tj4BdcS9oc5yME7O1nlLODBczkOt64M2tW/bUUsTcYfjutuF/f6RIh8M+HUcCJ3Dn0c7kDsBkkPPRbdYIKx7bzccPmoOYfb30T4Bwr7LTXMf0cLHAf2T146aFLG1TJhdgKdebbxupJO60qY2SLeH5s3zfmqPd5263qPA6FFQ3NZA6WFkubEu4l0bSSk9cu3uk9BUxLJE28r17fkpr3/kot5jNOJdzoPz7llUcIwwcp/lnHQ5dn6PEzzHyn2NK3cjZI6vs7he93XTnCSJvntS5GR9dzrU+fJ77eMn++K83Ps9cm9HIzh8Xs1JxnsjcW4/yjsd+0Jm3B59btyJPrpbB7m9xpPP+ZNrz++v20gRJBp3X2bWJ6kCZjpkpgMSHVBoJ/N4nKA5cmAn9npILs2f/ccG/TseyuGdfDg+CyHqLBmcYr45vPftQpbTvvfc4EirT652P8P790PO8Y47nz+27mP3R8eew3N7p0rsbc/zdys/1MTIqY1T6LLAUy6qMAwDfN/DmAlnz54lL52xtuc58+dGs8l0PCLLnAxOljlZoOFwwNraGoHnsbu7y2QyYWVllclkUptvCjr9DmmaYq2l3W1jSoPXbCGFyxJJU6clvba2iu97XLt+vZaVcgRMWZa0W11Gw3E9UClarTatVotWp8OLL7wAVnL69GmiuIlSHqPJhHNnzvLGG2+AgG6vjTGGPM/Y2dlFYBdkgLWWZrPJxsY6Bwf7i8jKwWBQv5C7G7DVaiGLHIgYDgd1xKQmSVMajXati67o9/scHBxw5swZhBCMx2NA8Pbbb+N5HmfOnGF/f5/JZMRDD14ABAcH+7Rabc6dP8fBwZAsT2i0mrTajUUdVVXQX+nheYosc9kb06nzGXA+K0OstXS7XUajEcYY4maDOI5JshlJktBstNFao7Wm2+0RxxHj8ZhWq8UpcYogDJwZ+miEEILtrS2EEEyn0xqAUcRxDAiKGjTvdrvs7u46E9skoSxL+v0+0oKoDdnDUPKRJx7jq1/7Dn7YRNiKLJ3hKUF3ZQmlFLPZjCiKmUxyGrHiQ48+yre//U3efqvLpz/zaU6f3sBYS7fT5MypdZ772NMoTzBLKwYHM0cUSSfNpCuNMU4yyfMUgefR67YJQo9mI6gnnJZKFwSeVxsTNrlwvo9SEXmluXp9ixs3t7l2Y4t//++/RFVZHjhzFq2dkXfcXyKsM3+wOa1mk3S6xpe//GUef+zDGGs4OBiwtr6OsRY/jMiKhKyoaLbazhB9OkMCUprDVF7rjMGxOBmR+kd5wgH80iVSnj59mkYU89prr7G3s0er3XQvIHXGjhSyJhF0TSoAQiCFPHwxtNZJ6mjNeDIhCmMazYCNU6fY292nKDKM1qTplMlshB/4NJtdLjz4CEEUY7TzI8rTFKXgwQfPEXiSty+/hgxK1jdWMXnCzb1NPBUwyaZIX/DYk4/z1a98hXar7bKtrER6HnGjSTKdEIchRmryIkVYjScs2mqEtAgURtcEGB5SeWAMvgRr9QJUgxpQq5dT6856vrv2WrsE76gRYYTFj0LevPQO/4//+r/m1JlTKE/RX15mOBo5YLHI8ZRCeR5h4PwK3rlytdbWd4bvTlJQg9FMpkMCJdjZGeB7liKdcmp9jclszCydYWTJeDYl7i6TpQVJkhGFUOmS6XTCx555EiU1WTZCWYnQHiYHbSxx6DMZ7vDpTz7JM//4H/GP/tF/z+/82z/g6pW3eOSRJ/noY4/x6gsv8tTHPsnG6ik2d24wPJiw3OkSSMNgOKLX69FbWmL3YESj1aHSUI6HyCDGVAV5CUHYJC8rCl2hlMSTMdY0uXZljyc+cp4g2nPTEivxZUBpC6RQaGsJlOckg0LnO6B1ztVrb9Hu9SmKkn5/GU9ZirxgNNojCCVlnoMfsnOwz2Q0od9u8siDD/HsE4/zf/2//J8QScEjp8/Sjpq00pIqnwIeXb/J1776df7W3/zbJLMMKX3SNGP3YI+bO1u8c/VtXvnOtymrjIcfPM9DF8/jWQ8IKFLNow89hpbwypuvs1vs0Ou0OHN6lZ39LTY2VtBV6bwMhGV7axMrPLSuKKgoSsPjH/4oTz/2l3j71RfY3krY2y3Z3zdMkoxCSCrPoH2NF4KUgiyfsbM3wgPakUToEZ4Z0QpyApWx3BU89GCPTkcilUXIijCwKM+jKC1r6132RzN2998hrxSDYc7K8hlWlte5tWlIsgLPVswygQgaKOlDFeLJJYIgdASEtTj9JWc+ji4YDrbwhCIQgirNsLoiCBTL/R5KBfgyYjQ6YDQc0WoKjC04f26Nn/qpn+XS2zf47d/+bf7m3/pbpLMhL754k9gXlGWB9D33LNPQaEb02h3Onj5L5De4cfUW7WYHgXsuOQDdMhwOuXrtBlevXq1fWAWNKKAoSsLQZa7+yZ/+Kb/1b/4tzz77LL/yK7/CH/3xF3nhhW/TaERunCtdv1VSkmVpnfmpuXzlMn/j13+N/80/+Hvs7h64QA0BtjLueTebYauSwf4OqysrWCzNRh1563mMJmNazTZpmnJwMKDTWUIQcOvGDmGziQgsYQW+arB17SZllrK65savOI7Z29sjyzJ836ufQ6CkJAiiBVlQliWT8YQ0TZklLrOz2WzV5HeFJySNVWc2P5u5cVcKz71IKbkgOFQt06iUWhiyO38zQxAEC6+zIAhqTzWXBWiM4YEHHuCLX/ziYo5QFAVSSqLISWHOyQvf9500Y+HmCNPplPF4TLvt5huz2Wzhe3a0zJ/TczP1OTkzN3wXtRDx3OwdWDzflXJkh5ACUxkqY4j8iMlwyF/+xZ/n3/27P2SWzAjjBpVxY7a1Aj+IP7iJ9I/Kj8q9lD8PwuSewYC7bPs+9/e++KGjG9lDwGkeJm5rTfHbXtDvhGK8Vxvnm92R2brL9+9GitzLfu+5zE+iI40xYLQkr3ymVchMh/iiIpIKg8uqPIacHYHYhADfakJREkuPXJUUtsTqGv6wUFkJVtYyWfNgIW7PEDlCkhxd73CvAmGc15wQFivdtk4aqdacV1UtH6pRwjgz9mNtn194uyBHEEfJj9s78/eWFLk3mPP9lOPtPpJFI2pNf+vGxAUgbEFgFv4yhzkJ4vBEvY/9v18d+TvWJ+7cituIO1vL3sz/F3ZhzC6Vy3RV1qClRhtV+48cZiEdJeZEfQzH4N45WH2UAKjXnnuNVNaBvIXxnFeC8fGERlmNRy37hXUePEf6n6vPvPvZFhxbf9HOo225QwXfXR87Djjfuc4T7bnL9bqXeufLvlf3xckW3M9+Trbrfre/F4m5o/sCTmSP3HmvR4a3e/j+yPIFVnO43pxYPU4V3Kl99rZPh3s5fIYsyBDmZIhcPP8dISIprEdqfWZVyESHJJUjRA4JzKPtP3JsR57vd+qfx8jwuxzHsQHhaJ01g+6IZFHLX1vmxky2rt+ae+rsdRuPZFC+S/+/bbs/jzneyXIfbXCndE6PHBnr5jeQsEfGh3sfJ36oiZHZbEK72awBg4SyzBcReWWZgzEUecr8hGwOBywvL7O/v0+/f5ad3S2klKysrCGlh0Yg/YB+f5mqMuS5e0FuNBqkSUoQupfiVrPFeDjGGsN4NltkhqSpk9bSNmfj1EYNxGv29g7o9Xo0GgF7O7vMDck7yz1m0xmj4QQlfXZ29lhaWnGGnkWOlPDW228QRj69Xg8hQCmJtYZ2u01eOJ+PXqdLq9UkzRJGown93jKiziTpdVcWUY15npOlA8IwRGtBs9ly0fzSp9UMiRutWkoiY3Nzc3Fcs9mMXq+HUoKNjVUkkvHwgNXlJYbDATu7e4Cl2W4TxU0mswTPDwgjJ2+xfzBE134J2gpKrdHW0m53KMKQdrtNq9FkMh7XpNQKBwcHNJtNJ39VFMyShEqXhFFEFMdMp1PCKOKdy5dRSnHq1CmuXb9BGPjkmQM7oiBkNBgSBB6dVgtwQEuj0Vj4qFSlwVMBzXaL/f19hDgEdoqiwpiKTqtLVpRUpeTxD3+YF198jeW1VVZWVnnr8iUX8SEtRZXj+T5FVdBqttjd2eWhC+cIPJ/ZZMLG2iqmqnXYMSip8EOnxOk3AvqNACmgYs5/ikVqna3NpiWAsMySCb4nSZIJRZHR7y9RGEMQhES+RJuCVuDz2ENn+NDFs2xu72KyMd958RW2N9/A90Kk5zsJIKkIfUWZJ0yHM577xBP89E89x+uvvc5ktE9ZGW7cfIeVtTU63YjxrT3iRkSrHTs5FKsxGqw3T6d2/c1apwMvAC0EUgmEcUC/8iVVCSvLa0RRg939fcbjMb7vM5tOFkCXwpnyNhoNwsj1x1ZTUVUVeVkhlQPArly5QhzHKOVRlZowCvE8jyxP3d90gpSSYlJitOGBBx9mc+smk/GMXm8Z3w8wxtDtdlx/rXIeuPAQOwc3efudGzQbbdqdZaaTGUIEXL3yNitLSzTiFtIKPOlRZgVSCZIkRQifqvJASKRwQ7WpnOydErJOqzYIZbAY518A7q+19XWeS2TZWp6lQlqXweCwNouxppbj0xRlRW+pzyyd8fVvfgP7LQiCwAGKviNfpJQI3HKJxGhNGMRkWYZUzmi4KHKsqbC6JA4Duq0GF86f4tTGCh965EGe/uhHaEUBk9E+Ao9Of4lud4lKO5Cy2WowngzpL3X5xCc+hjUVZZoSNloEKqJIJI3QJ62mxL5hf+canX6ff/gP/3f853/vP+Nb33yd/WHOH/zR8zQ7yzz5pOb8mXNcuZmRzFKyrECEirLM8cKcTqdLXoEXxBSlpfRzLAYpFGWlMMIHz3moKOFTFBrPXyIZ7JAkmjhukkwOkMpHCgVWoDwfYazLTDPKmT1T4QeCm7eu8tBDH+Lc2Ycpc0273yGOIuKGz8HBJkq4607lbuaL5y/y2KMP8Y/+m/8GXwh+/Cd+nNUgYrC9x82tmwx0RLyyTqjhJz7+cV7+8p9CUfDkY4/TEpZTK00+8eCTFD/2JJnVvPDyKzz/lT/ji2/9Kb4fcOH8eTbOnmJ/b4aKAp549FF29vbY3d1mf2eTZz/+JLNZQqfXQAqDKTMCJZBhhPBbTIcHVNZyc/Mm3/n6F/GrlJ///E/jUZJPB9iyYn88xngwLSdUZBgscdCh31nDswqjSpa7im5b0ooVzUixsuTRbgt8v6DSJdiAZJIg/AQhAwajd/CDmKXVmKtX99nd3md/e5dHH3mUjz52nqLKGI3GbO9OubV5QDHVYCDPK0rpJDSmmTOVV54ky1OcaV0FxhB4AUudZaJmhEAwmY7IM8PptXMoGbKycgptZly6dI0ojHjio6f5q3/1P+U3fvOf8bWvfpnHHnuEV6VG6IpG4GOrAiUkYRDQjBqsr6yztrzK4GDIzas32Ti7QZIP8XyFlIoky3nr0neYTGaAQCofpZyAXqvTZTZL+Kf//Dd45513+Lmf+zk+/uyz/Lvf/V1ee+1VgsDHVIY4Dql0hZQWTEXgSUxVsr29zV//q7/O3/3bf5uvffUbPHjxAnEYYKscIQVhEBKoHlk6Ic8Ltrd3Wer3mUymVFoThII8nzHJJmAlDU/xwJlTrPZ6GJMRNjtMMkOqE7QxRI2IdDZkOBohhMs8cc9MTRw3iMKYqixquSsnUQVQFAWT6YThaEyv0yQKMoLQo6wzINIid2NeVaEri5J+7RtWUFXajR/CZXjMDdKzLAOoM0zA83yM0QupLSllPV66/a+vrxOGIdevX+fZZ59lZ2eHZu3XMpu5YIROp4NSijAM8DyfLMtQSnHx4kWGwyGDwYB+v7+Q0prPqeY/ppYynXuhzOeh8+dvmReLds0zW5y8oyO/0ixF67LOsinxPQ9fwd/9W3+T//L//v8kjhsI67K5jHCk4Y/Kj8r7KveDI/55vSgfYiH3R478ILzYnyBITrbpCFZxrLxn0+9GctwN8Xuvir9H58pdrkNyBA22EhTaY1qFTKqIUJY0bYEvKpxDnrnLOTF4QhNJQWULculRKM9lHNRm1xgOyQ4sTnZRHMsOsXVWyULWiMPrsIC6jhAaQtg6Y91F/2ulF/JIWlYYBb4QeNIRO/IIoCbEITkCR3CZEx4P7+/0H70x7q3cO4D8AZT6pLqsisNzLMWRr+trdGhs7IDBO8c5/+CVo+fTkY+O9DHCIi0oBEbYWuZVoo2msgpt5IJkM/aQJjsE+k8AexwFjg+/t7UkmTaSUkgKq8itR2Z8AlnhWw9tKzz0EYLlKHRcy/W8y+k9Sj7cTh7c+WH8XkTLu5dD8Pbuqx6R7LrPrnGner+fvet+9/VBtPV+TbvF4heLS3y7Qfqd9vH+zuT8/pl7EdvbvnXX+ThZc3L/YvHXMifDOUKOiDrbsCZFzDxLJGRSxQtixJgjZOVdPT1ul4U7OZbfW7+80zlzy6Q8YrouQEhbj2+cuEDvUvWJtt5X+cF85N692Pk5v1PAwdHnxX9EGSOz2Ywo8KlwXhVVVZFlGVprwjCg1eo5GYfxmKIsUJ5HVVWsrKxQVRVhEB1OXoR7mR2PxvQ6XYIopKpcNPZ0OiWvcjqyw3A4pMgLoiDE4mQdtNGcOXOW8WjE9evXWNtYW0QEtppNxpMJs+nUvWzLw6szGg6JohAh3Av/I488gpRuf6aODvc8QasVM52OkULSbDZcBGOlWVpaIk1S0jSl1+sSBAF5llOWBjDMpinNpkej2cQLQ25eveqMYAuN53ukScXK8hrGCLI8JU1mLkLVaLCCPE/wvIAgcMbWcSMm8D18z/kVGKNZWVlmNJ4wmU4Ig5AsKWm1WijPoyxcVELoR1RaU2rnc2KNIfBdlKenFGmakuc5eZ7TaDScFFJ9rdI0RShFFEfY3DCbJQwGY5aXl5FSOZ+DvFgAHFKwADziOKbb7ZImM6IwIm60yPMCKQ8zRrTOsNZy8+ZNut0uQsy9RQxFUeJ5islkSppmrCyfYn3N4/SpdXb3DxiOp1hdobVeZOZ0Oz2yLKXb7oBUDIdjHn3kQ1y/cY3XX3uNj3z0cXeDWou1DsBzhtqAcKCZVz/aXcSVixKda68b42RPimTC5ZvXieKQiw8+WEeneggUGIspClSkMGXBaDhksLPJxbN9nvrIL/LCiy+jDXhBQJ6XBJ5POp1hqpyLD55jY30JazUPnFnjS1/6Mm++eZnNrVsIT7O8usStnasEATQbIQG+k5XD+YYo62GFwGjtzJutxUivNiCvZUeMRhfOjDaOQ7rdHs8990me+/hz5HlKnmWkWcpsNmM2HpFnGcYaqkqTZzlJmtRG4U6WC+ViYyqtCcOIjz3zLE8/8wxZlrO9tcXmrZtEoY8QFiU9lHRB5uODfYK4CRwCap7n0e8vk2dTtrf3aXdXiMMlNjc3GQ/GdJot9reu0vBCWmEIRe6AyzKt/VACpFIYFFXlCA3PiwCDrgpkDZhZAVYIPE/Wg7iTbTI1caKUdF4Z1jifjFoqZj5wSakAp30shEQgiZRPmmf4fsDy6gpBGJLluWuP0Yvst6qq8BFYIdAGjK0I44g0zRY+REZrTFnx7Kc/yRc+/xfpd1uEgUDYCmE123s7BApn6p1kjCZTxtMxyoeinFEUMy4+cI5HH3mUfDZkub+KLiqEkQgDnhTEvoeRGluWDPa32d85oNM9w5MffZL//v/9z3j+S1/mL/70z/Htb36LMAiQQpFlJcPhGH+pBwIGwxHGCtY3NhiME+JGkzIvMJVG51OCOCIvS1TgfCKUCEnTgjCIKUXKNDG0Gx2S6RBrNVrXycRSoKSsiWNFpTXKU0hlKKuMV175DqsrZ/BVk1u3tjE2A5GytNRltLfJcHfEYHPAU088xcXTp/mdf/tv2Th7hp/8ic/x8je+yb/8d/8ze/vblHh86Md/Cj+PSG/sI7OMM/0uF9eWSSY7xApkJRnPNMMspbW6wtOPX+Bjzz5BWQlu3LjBd77xFd5++RusnFoH2yQZeCy3uigrGI73efnFV/jok49T5gVJss/e9hBPRYySCc1OF5TnJBctfOazn0akB0iZ0GwUnFkPeOjhh2j3V/DjiNwWGFnhhyGtuE8UtPGlIg4MSkwp800Ee2CHCD0EMaMsEzwlkCrCxE3S0mDsFBVIjNCMJ2MsmnNn1piOMwKVk05ukaRjWo0WjY0my82Q0cGEbJYxPJiQZxXaCiKbk80K8qpA+RKLRgqLpxSB10CqlG63w2yWEYUxgSdqkN3nYH9IEMDG2nlGw4x3Lt1gfX2Nz//Uz/CtbzzPG6/kVHlWA9XOA8NTHo1Gk067w9LyElEU8cILL7G0vESapcylOIqypMgLBoMhUipknfHQaDTIi5JXXnqZLz//PAjB3/k7fwc/iPiN3/wNdra3abeaKE+iq6omlt20X5sKKQVlUfB3/s7f4q/91b9KmswYDg+49FbBAw+cI/KVG8N8jySbIqRkdW2D6WTEeDJFIOm1G3gkpDbFGvC8EBmGDCY5enaArCRCh6wtL7E7SNne3gYpCeMGRVnR7TTr4BLnM7aysoLv+xzs71FVVe3LES6IgOl0xng8JUlzmrHLlCmqirLMscbURr1OajHPc9I8I45jwjCiqkp0PcaCG9vn5IQjmVjM+Xx/Lt2oF5JY86yVBx98kMuXL/PII48sgiLm61lrF2O+y0aBKIrIsozBYIDWmjiOnRfaUWmQusyJjqPyWlVVLUiSuWn8PCtlTuBorcmyjDhu0Gw683fnGed8zfKs4OPPPMXHnvko337xVZqdPqXRR6b7Pyo/Kt9F+WACrT/4Yk98vldyRJz4+706vru1Zb78yK15e4Tr7XWcUGbC+c7db6MONzimEvV9JkWOtaRmH4QRWCPJK49JGTHWEU2TO4AY926jhTyU74EFeeHOhsVDE4iKWJVU5DUIdkLP3dSQvD0kQMwxcqQG0I6QIYvP9fkX9rATLaSTanJECUspNblUBMojkBpfaXzpfB2kMCicDJGswXIB2GMaW/cavfuuZ/a+y/djtHDHOj/E+Y3gToKs/51/JYRBWOm8L+2iq5xo7f0f7+11fG+LOPJBMj+OOm69zmgWUiKtpRIKaQTSWIw4zHA6rOLOxMjJMgeADYeZI4Wdm0l7hKLOCkbincimef/E3GHU9QJo5Cj4eLdrJY5te+f93uc98T5JkR+EGdN324Z72f522P3Ofehutc0B9UP1ptsJlqND3f0SMCf3Ze/weV778QyOO+9j0btq8ttQm6cjqJDOU6QmRaY6YqojJlXErPRJ52brHJLlx8/fnQD329t//+fBbXXsmSmsCxGQ1slpCYEUFi3ma7LIjrhruZd50rtt+8NW7joXs7fd9PdzeD/UxEjg+0jlACxjDNPphG634wym85wsS+h1O042qAZR9/f2Fwbinuc7Kaq8otlw3gT7+wPiqIEXOZPQMAhRShJ4PmDod7qkaUqqNVIqNk6fYm9vj9ffeJ2NjTXWNtZqMGBS62JnNKKYRhzRaLjI1aLIKKsSqeBgsO9kwCJX/3Tq9LP73R69Xpft7W2ydEbgh0wmUwQOENBVhQA67bYzm9eGPM8Jo4iqrACBUh6dTo/B4KCO4oQgCPE8n7IoaHdaZFnBeDyhqgoazYggcJHzUinKssIgCEKfWZohhCFPUwSCZrNBWdT638qj3ey4qP7QAQoYsMaCcNERaVIQxQ0836+v1ZSqSImjgFarRZ46MqTZbDAcDoki59tQVRWqBhoqXdHtdtk7GJAXFXlWoJRPo+HTbDaJogisodVqEQTBgmDxPcX+7h5BPHPXVnnkWUkyS/EDn7Kq6ohRjzhukCQJQgg8T6OUpCgy4ihmOp0QRi0+9OhDXP/3XyIIPGaJJUtnZHnmsk38iG7XmU03/JA0L1lZWeXW9haX3rnMQw8/SBQFzrxNQC0o6EB+dD1xFC6V29ZUsa0f19ZQlRX7e3vkWcrpU2dZWl5yRETlMn+scS8SSgWYqmK8v0uZJTQ8w8Uzy0SNmN6PP0mz02UwGtJqtqhKGOwPMVVBpVNakUeWFbT6LX7pF3+Wm7e2+f0/+CJvXb6MFCXrq33ywknYBdLHU4LCGKqqdFkHykMb614yFjltJbIEMAgjXZutYZZm+MrD83ynoe8rwjCkv9RHeQpTVVRVuQC88rwkTVOSJGE6nTKdTpmMp7Ucm0e32+Wxxx7jyY9+FGstX/mz5xkc7GGqkrLM6fX7RGHE9tYmvd4K4BGFFVIJqkqztbXN/v6uy04KQ4YHMx595EM8sNHkYH+P9fVV9m5u0jtzio3VPj/x8Y+SzsZcufw2ezvbTMZjpklKVqYEcRdfKapKg4VABBgMRls0BilBKoHGUFlHWjjiRDnDeWvdi54wGGtQnnQEh7EoKZFSIYxddA+wC1kZBzKWeF5wOHbUAKAUCmOdTqzneSipyDKnuT83EQYQUvFHf/Qltm7d4vEPP8LDDz5Ar9um2QjxwyZKaayyCC9EeorBeEAQCaRXkeVjnnrqs+jKMB4ntBsRwgqMFo4cNgbPE0zzjLgRoSoIgz7TacWrr7zDK6+8QZ5VeEpR5BlLvXUacQPEiLyoaiNjsJXGSkFRlYShkyiK4ib5NMHGbUojag8Kix82EDZABpLKgNdaIpkZWo0A5QVYnaNNhVABIDHGsohsQ7iMHQlRFDIY7nHt2hW67XWXpRXHCA/SZMpksE82nPJTz32KRtTgW1/6U86cOcXquTNc3jrg2jBh/bGPkt1scmt3h7cPrnHhgQ0ee/yzqFnOpZe+wZtff56Ly22eePAcF8+ts7rWZ8VrY/2Qa9tb/Ob/9DsQNPj0j32aX/2lv8h4sMf1zW1ubB8wOdgnWotYavXRRUllAzZv3OLsAxd44MJDKNnixVev0Yj7IBSVNmgLIJlOJ5DtE3shTz/7EDoz+EGXRmsZ4UcIP4BAUhmDqSRVrsFmCAVKlWhdkKcTqmqIEgm+LOvxGcrcYBREkU8B+ALGSco0KcCGWJOxttKg07aEXgqBwUdTlAWr7ZjTvVUEEl89ShS20JUhyTI0lrzK2dnfwVhNFAfsH+xTVBatfZZWmigPdm7tE3ht0lIQhS06nR5llTOdpWidkOa3QHg88vCjDPc3+da3vkpVFQR+4LysPA+Bk0FaWulz5uwZtnd32BvsOgBcSSqj65fheYaWIm606mwCybXrN/jWt7/DrZs3eeqpp7j44MNcv36db3/7W0wmE5aXl9BViS5dXyuLzHlX1ZkTvqf4tV/9a/zKL/9liqzA8xRnz55mf3eXN994g4889qGFF5VUyo2/GPrLSyTThCzJmY0GtJmyFEuGgz16a2uMhruQwnpbsrO1w97eNs2lNtN8gkARhA3OPPIgN67dQGtDo9Gg0+kAsL9/sCBwnJSprbPYKowx+J5iPJkynaWcWg+RXoDnWUc4BQolBEWeOSJiNGR/f0Cz2awJFw/f9wFneH7oXaIXxIgx7nUIHHHi/mdBfAwGAz7ykY9w9epVLl++zBNPPOHGi/p5N6/XZYyEZNkhaTKbzfA8j16vR5qmGGNqM3gWJInv+wtSZ549Ml9vTn4czWKZkzFzAiXNc3zvkEAJPJ+yrFzSWZHwCz/307z51iV0mbtnk1S1zv2Pyo/Kd1lOvlT+IHerDzr68f0CCO+23UlM993aUH93KLfEIUD/Hvu521dHcP13b9+9LP8AiCVRy2lZLcgrn0kV0Swjel5CVYNXuNzlY4DUoW20exeSGHxZEVGwkMNSh1G+R811dd10w9w8/U5SWtTn+g7gW/29Awhr4NcopLAUQqGERUlDoCrC+seXpiZInMSWEhYlXGCUOH5g9bW+3S3g3bvrcSjzfiO172/t919OkiOC+cjMIosE5n3eyS0vor2BuSn7u0Ht77l/twe+3w+zOaDsEobm1+uQ3hO4OYwUFm1sDeDahY/AUZrktpaLI98L5tTLImuqMopcKELhUUpFZSW+kM4f9RhRe3d76LtDzsfXObwz5//XV/iOkma3EzN3Osb3emy9//IBPMR+yMpRsP7dyns9Q450yztjz0f28707y3en3uyJz+5HLshwJzXnUVq1IEXGOmZcRUyr0PmKGA9t5bF6hbj78dzxbM1JTPvez55F3Ye/3JPhEKSpcUH3DLFCnMiIELeRI/NnwuI6fRc30aKuH+ByUgLzvdorxP330R9qYsSbg4A1CD6Pdt7f38f3XWSnMbrWdrYUeUkjjvE9j7IsFyamQgryokAbzdLyspN/uHmTMAxpt1oILF7g02jGDAcjB3xPJkRxzGQ6JWo03EmXgv7yEoP9AxqNBp6nqMqKwHeAb1HkJElKp9PGpIbxeESr1aaqnJFmoxFT1nIUo9EQ33c616bWlnYv4AprwfcDsiyvsyZajMcjtLb4HoAhLwqarZgkGQGaOA5RSqAUSGnxA4XWJY1GA6lgNBw5SQpr6gyUHs1mYwFIV7pCFjUZVWtlp2lCEIRYKVGewNqK8fiApf4SVWWYTiYkswTlBzTimDhuMJnNaDQa2CjGBArfk4zHY/I0pRE3mE6nC9P0udlqUZYEYbAwc43jmLmpfRzHNRAiCMOQNJk5PfPZDHDgSBhEtFshSZ6zt7fH+vo6eZ4zmU5ptVsAFEWFUh6TyQQA5fv4QYCxLguh0ppKgzYlDzxwlqWlNoNhQhh4zNIcawVpkrC/v++igrOcQPiAJstL1tZPcePGJltbOzz40AWMLpFKgARrNFKaw6eaEOjKTe+l8pw3gJRMZhOKvKTT6dI+ex5dlSD8er1aQq7I8QOPIknIkinT0T6eEgTSOoPXMiNWoMqc0BpslpFOU3xrababDAYZse+hbERVaqIoZqXX42d/5vM8cWuLP/nTP8UXEi0ECghqGRud5Hh+SFWVePXLiHvBkAhhsMK4iGfjjm8x2FnHjFfaoGufHm00WZ4B1pEtQhAEPhYnAdVoNFlZcQOElJKqrJhOpyRZTlVWXL78DmEUYLRha3uTwcE+oec702Ah8aRke3ePfncJJ72jMVYgpI+tM4WMMViT4wvNay+/6l5kTMX+zk2Wey06zYDpaIePPfkJfLXEIxeXwVTs7+8xGCd87YU3uLl1QJFXCKEo8wpTOkN5TwU02i1KYxxBoXyEcZNYJRw5IoWowTlwclxuEl1UGk/5GCvIswKBJPB9rDXoqkQgUVKBtSgEVts6C8wRHqKW/TLWuGQb33PrKlHL1jhdfKNxxtCqwTvvXOPqO1c4tbFOv9+h3W6yutyn32/zwIXTtDoNpBdz9vwD5GXGZDqh023w3CefIU2m6MpQFY5Addr7HprCycQp301MpM94WnLzxpi9g4RKe3z4sSdZP3WWnYM9ls80UJ6HkIrKgFWKqiyRShI3GowmUxAenu/TbHa4PrqC8Hy01QShDxKUHyGshxdayrTEVyGzdMZ4VKFUSKkzrK3wbIDRLHyZrGOR3FiiBFJZbFFy8+ZVwosd8jwHGREp2N3ZpteI+cknnyU/yHnjxW/z1JOPE51a4b/9J/+UcSp55slnWT99kQ994jmubb3Dt159ka/+0e+yc+YtPvHJT/OZX/oZdq69wze/9Edc+urXOP/OCk8+9iEefeRRmnHAmeVzPP7Ah3nl9dcZXL1B84ENvEZEfP4sF85d5Mb2iK9/51W6K2ucXl9lMN7FyhKomE0HvPDNrzKeSfrnOlhrUEg86TMaT2g9choiwzvXXqcZeGSpJs8naPbJtSI3kAs4e+EC62treEqxv3eALqas9EIUAcouYa2g4ecYZkhRIJWDQITCZTXFXYyRHAwnpKmhSCtWe6us9mN8L2c6GSNFjC/adNsdgsCjyEvyNEeXhizLmU1TtIFur0un1aIoU4SS+E0fFXhs7+yQjsbk+ZhTp1Yp0oLppCAOG6TphMBv1sShpShyrl/fAgFra30eevhDvPHGq+zubREqr+6zlkYc0el2+chHP0IYh9x643VKUxAHEcaWmBoYl7WpdqvVIoqbbG5u8Y2vf5Nbm5usnzrNF37255hOp/zJn/wxN2/eJA5D2q0mRjuCAeHuSYUkDBQHB0POnDnDr//6r/GTn/0JtAGtK6ypWF1bQSrFO2+/zebONhceOIdSPlWmSZIZzTjC1F4cl95+m53rV/nZ555g//Jlzp49hbAFe5NdhA54YKPLra0BKpCMkyn9fgcrmyz314mCNlcuXSWOQxcYUboMltksRQhoxBHGmNr3rMRal60RhQHj8YTpLCUvNU0rEFIhrTOJl1hK4Yje5eUVGg0nczU3MZ9PaaWEqrILkmFOmADEcUwQ+C67N3fPlrl3SFEUeJ7HE088wZtvvslTTz/N6qlTFFnGbDJhaWmJyWSyIEK0PiQ3osgFiyRJQpIkC8N2IcTCV27uZzL3P5lnoMwzS8qypN1sLeS3yrJckCkA0lOLrBhPKaw1hL5PZQxpMuXhBx/g4x97ii9/9ZuEfkglBLYy/Kj8qHw35Qf2/fdkGOn7rQPu/jZ8ElV5t+/vp7zXdu9yPItDttYByLe9zR9BYE4suidA5D1IkduaXu9fnFjvblXccfu6YmsFpVbMypBZGZIFLlJXL5gcR44cbctRM1UpwMMQisrNxeQRYSDNsQwRLeThrq3AmqMg8lEyRBwD/cyJk7gIUjuy1MnYOtKjNJJCK3Ll4dXEiC8MntIEQqOkQUnjskmsyyKZm1abeg+HmQH3Cmb+eZf3bsEhUOeORmIxczKo7tj2SFc+ljUi6mt2hCS4h70da91xcuTet/0gylGQcm6oLOubSCxCrARSWnQtLX40O+pkn7i9/uP5ohYWQLBBHkbLzzOlqM/tiTqP4LJH9gxzjPZdj1EcJ0ju2tg7tv9OV+y9qrDv8f3dt/uBHeO+x+Xdjvs4T3v0HhF3+HR8uzvt57sZKuf98271H13v7kUsMqhMLVXnMkWcvFxqAmYmZFTFjKqYSRmRaJ+yJkWMPX7c90upLs6lOEmOvMv64qjHlT22fE6OWGGdPJ/gNkegRfDqCXZRMCeX778cj7W629V+r3W+90WI4+P27cXW2I09zGyr/7/X8kNNjJRFQTNuI4XEjyKMrupL516aPc9j/+AAYwzLy8uMRwOk9PCUk0Ypy5IoikiSlFmSsLq6Sl7k+I2my36o9aF1VYE1DAcDjHG61YuXcuEA+X6/z2g8IK31qicTZ9oZt1qUWcb21hZpmgAQxyFSCvr9vntpbrddnYHHxsYGu7u7TKcp+/sHKOXR67WxRnJz7xZ5fsCpUxtEccx47PxNjHGAgTEuEqHd7dDUmjzPKUuNsYa8yInimKj2DfGDALDMksRFogOzNKPZamGlT5aXTKYJWZZjdIXne7RbDcCSpgmlMUSNBlmWEsYhrVYDKSSz6ch5ChQ51lY0GiEgabdijNb4UoCu0LrEAd9OwmhpaRlrDFmWLkCJoihotVpkRU6SJPSWugyHY4TywIKqIzJNvZ3nuYyPsiwX5ElRFOiipKi0IzpqgDjLM5SnFsSPA7NcdP88ctQYQzJN6Hc7jEYjlO9TFDndTpOLFx5g6yvfII5iilJTaYs1lizLSNOUMIioIksjbjIYTlha7nNr6xbXb97i7Lkz+L6qe7HF2BJhFeCAabAI6cgeXWUYYDgYo42l2+mhlF9vKUGqWorEOFNApZlMxowG+9iyQEonzSSUxGqNtYLI8/GFx7QwTMcjhJBIY1EEtKKI8f6AVrvlXmbSnGYUEUcx586e49FHHuHylat89WtfZToa0ViNCQOfLM8RwhEZQiisUG7SZDXWKJCmfnlxLwnOH8NFzWpr6rRBge97KNVAyoyyLFDKyaOUdcaTtBJd5QvQTOAidvv9Pn15eD2n0wlFUfDQQw9y5tQpdja3mE2n5FnBdDJFCMFkMmG92cVUmiAMHENfD4tz0MpQOX8cU1GkCbduXuWTn3iatfUeuzsTolhSZinIkijyudA5zfIsx4tj/uCP/5Qyg6efeppm3CJNMt5+6xJvv32F6Tglq7Mbgigm9DzwfIoyx/MVlXYmvm5QtAsSVykn1VWUFVq7+yRNMzcJN84TKYqi2tzeAatCOIkuicQai5DCvVtb66TgrEVInD+MtSjloYRCa0NWVfgqxFOS/f0JB/tjfN9zHiVS4AfQW2rz4Q89xOkzZ/n5X/x5vvbVr/CLP/+zPPzIBSwVzUZMFAZkiZNB67TaVLbEGov1fEbTnE6nz2gy4/LlHcYTw+rGeczePoW2dHpLHIxGxM2GI/90hQaMdPq9WoCQkjRNscb1i6DZoshKhOeAR+V5WOuEDvwwpEgzKgMmtcwCy8pShywb4qm5fJbE8+oXu3lK/FwKTpd4nsdgsEu6MSGOW1y/fp1m1+ehcw/w1IXT7Lz+NltvXudD587y2Ice4p/+4e9TCI/++mnGheDrX/oGj3z4HL3VLn/h8z8FVcVLL77Cb/3GP+bxZz/BFz7/eX7pob/H6995ide++QKv/d5X+eilA5578klOra3xs5/7OT73qZ8kDCSh0nR7DSZZzjjJiZTixz7xcf74+efxw4q19S43t65SlTN8TxMGlsnmHnGyQdD0EFbjK8ngYEyaVeTTnJ39jGeefJKXvvMGb79zk0Z3HRk0yCrDRBtOP7aK6q5z6+ZVLl3dZDrcpx15NH1DO7J4NiUQE3w1ZWXJZ2W5hRE50oNAxaCaXL50nZ2DKa1Wh36/zcZaH2FyQl9BM2apd55ArXHz5ibf/vZLTtLJSnrdJeKoWWdRzvCDgKXlJXorfUpbMR7n9JZWuLW9TZrP2N25ga88Lj54ljdeewdNQqPZrDMSLdZAllVIGXJrc5uDwYgoCCm0QXg+xoLWhnazgVCKU2dOs356g82tW9zaukEQehgqKusyz+zhjJfRaMQf/8mXefHFF7l44SF+5qe/gPA8Xn75ZS5dukRZ5jQaMQo3q7a6wvMdqeIiCzVbm7dYWl7imWeeptNpczAYsr6+jqlK8qxkMBzR6XY498B5trc3CaKAM+vLRFFInimyPCWo/TMuXjiPKjN+93f/gIdOLbPU7+OVgnY7puk1WRkmGJ1Q5ZY0ScmrlLzMKRMoi22KvMT3PZIkqcfZCCkdOWBq+SpjXPaq7zspK4QgSXOmswRrBUJ6FGUK1kBeoCQURbm47+I4WkjY+b5HlqUURb6Qv5zLdc0zRoA6i0PUY3idyeq5tgRBwGg04sEHH+SNN97gjddf5+FHH6UsigUZMic4ZrMEY44TG3PpLu9IQE2r5YiOJEmYzWZIKReebHNSZy6fNZdonMtneZ5XzzsTl+XruXHMWos1xkmoOUM54tDDYPnUc8/ywouvYLDYskT9KGPkR+W7LMcAgJPd6c+7e30v938PpMgdd/+9wgFOkDgL0/bbvnsXEFJw9+/ebTknDkuc+KIGrW/b/MT+7pipYg//WuM8RpLSZ1YGZJVPaRXaKhC6jrKX9c7uDE1JLIGonEmtcj4Lc2j2qJZ8Na/DHppjz0kTa+fAO8wzQxaZJPdwfuYgWiUspZbk0nMm7NKipMUTmtDThKpyGSVSE6gKTxgUBiWcdKSsx3txBOA6Co/fXk4yfX9+N+g973l+HWuSYO47I8Vhd54niNg5+Heo33NPezoZ9f6DRjDNJXDm7VHC1O8TohaLqPuxvb3/zUG94/XZO39nD8mlE4uxNSUjTyy//Vb/wSUS5uDm/PM9b/M9as8Pczl6j8w/f98g7vn9Xv97NFvs/VRm4Yh8lhsDKhRlLZ+VmJCJdvKNozJmVDZIKp9CK6r5mMBhhuD9kiInaaVjY/e7bmQPN5gvno8BVkDtNTv3xnCExxHi9V324tRmvpue/24j4XdDhX1QxeI8qQ5JtTutcziHsvf9bPuhJkZcNC9URrO6sUKRZ4RhwMa5c+zeukWe5ySzGcZaAt+n1WySZgV5niE8hR94SM+Zq89fWM+fP0/g+QyHAzAOOPZ8nyhuMpsVaGNotzukec5wNKTVbpGkUzrdVv3iDmmRonGZDtneHnt7u5za2GBpuc8smVLpqr4vnPRGpTVZXtCXHpNZirbQW1pGSslslpBmJVL49PorFEVFu7NMo9ni+rUXUYGPVAEaRZqWNNohym8ymhwgpc+Va7c4e/YcVaVJU8toPHEG5HEDIQXTydgBGp4ijiNmSYmxHlZGdHo9mpXG2Jos8Hy0rkgzzWQyw/M9KqMRpqDQPoHyycqMJJuR1+alEidBU5UZeZZT6Ioo7qCrHGMNvueiyPM8Qwo3dCul2N/fJwiCxXXxfX9BVmBKOu1ODT44U/lut8NgMCAMApRSTKcpZVng+wGdXo+yBiXCOKAyLgPFqyU5wjAkihSzeURoHNda486/YTgc0em0Gc+mZFlOiOGpJz/Cy6+8RlFBr9tlfzBGVwaJy2CodEVelGR54aKAlc/SyhpXrlzn8ccfo9/rYNH18S96NAhLUeY4vwMH6iTTKQZNt9utQTOLQbvIKaupqgpPeUhhGQ73SCYTfClI84ywBrFMWdFutfCkYjKZIRoKaSW+cEbo1lYYnaFL99NtrXNr8xatTgchJVlRYCpDrx3xiWef5InHH+GVV15nf2+I8gRBoMgKjZTesam7MQZhKqSRICym9rkQ0ncmddpgBHhKgXTR+QKB7/mURYkUCivMIRBmWei2g4sKnmdcIdWin8yJhEcffRRPKoSBNM3Y39/j1tYWdjBkb2+XXm8ZWZMNcxLGLhhnsNKS6wyrNYPJAVpoJumUcRpz5dp1vvNSC4HhgfNnsV4MfkDYiFlb8/nks88S+B7nzp2hEUeEQcBnfvwpZrOE3YMhly5d4eqVG1y/sclsnDOcTFnfOI0XecRxTJqkVMZp6wurXXS1F1CVJYFSUEuu+LGHJy26dM+26XiM8nxarRa2lpWZyw1KIZASTC11V5nSZY4o502gC0ccKuktdJKldOui3Pn1pKIoLEr5JGnG9u4trl7ZxoqCv/6f/Dr/2d//+5gqIZ0NQYDyFUZXtFoxJnZZRZPxGBUGyCCi0e6QVx43Ngfc3BmgZIe1jfOMZiVZYTl38TyvXdrG9wNQToatqHQNQEsEgiiKKYoKpFoQ13leEUcNolgRhDFFJSnLisAPmJp9jCexRjJLLL1uiPKaVNUUU2niKKyzDYXLtKqjDd0vi/IFRhds71znwoVHCKIAXVnWVk7z4te/gz8ec3Z9iSiWzNIJm/v7dNbWub49JuhtEPVX2R9nvHPtDTw7o9dp8LHHn+FnPvMz/Jvf/T3+u//qv+PTf/GnefaZT/Oxj/8Frr3xJm98+9v8mz/6EqdWOnz4kYusrfWQQCAjqtwQNiIybWi1e5y+eJ7NvRv87hd/m5/+hc9x8aFVTp3dYGdniwcfOU9SSq5efZNnPvHjRFLSbMBQZDQaARdPP8bujU3GA83OVk6R+CBK0mqXzBSM85KvP/88r8QBr77yAqHvY4sCnScEomKt79Nra1pRRqelacY9jOlgpcRo6zRfK/BUkzhyWYinN9ah0ohS4Psxp05f4M03bvLFL/47ZknO+toq/c4qSnqMx1OuXLrB2soq6+unqMqS7RvbjEdjzj90kUmSkjc03U6f7e1bzNIJu3u32Fjf4MGHz/L6a5fQsiIO+lgjqCqJVD7tuE9RTbh1a5t2S7G3P8APnESWoSKIYwyWCw9eRErBjZvXSbIZjWaDShtk7QuiRIASgjSZ8Zv/4l8QxW3+9v/6byGkx0svvcyLL71MXmQ0mg08z80ZijKn3WqCdaS4tQZtDMPhkM999rP80l/+S9y8eZNvfu3rvPSdl/jUpz7FxQsXEEKRFxltqej2+yTJjJ3dHdZXunW2REaVpaRWI61lY32d0596jn/x6qv84fMv8LUXX+bpjz3GT3zhc4hGm0EV0Gq/xrRMMRNNPptRFDlXh5doNZe4cP4C27tbjEdj/MB3ZKS1NBoxvu8hpbeYzM+Ji6rS2NobY5okhJMAYd0zPWjGztvMWpQnKWsSwj3fDcboul6xCF5ot1tMp7M6SzgijuOFH5lSina7XZMSdiFplec5VVVx+vRprl27xuOPP46pKlQYorVmc3OTfr9Pu90iTVOCwC1P05Qsy/B9n6oq6noKyrKg0WjQaERMp1M8z0mIzuWx5vOYOeEyl+ecj1tJ4oJkms0maZ4CLhPG9zxk7TGFkiRpilQ+jzx8kWee/AjPf/VbNFo9kvRH5us/Kh9AudN7rrjL5/f7PnyP79Lv9i5/Ty+170V43GuRh5G0twH+71XvHLxYaAadWP5e5chmd1v/rpjxe5EiR76/p9NzBCl6t/VvO0d3YFEsAq0leemRlT5Z5ZMbn8IWBIAULkNeUAft3CE6VeCETZXA+Y3IYvGNi5KXaCUpa1Pq+YHOM0XMnBQ5KaV15PN7lQU0ZMEIgdDWZaiYOgNbKCqjKZTzIcmlxpcVgdQER/xIlDAue2QB2txrh32fgJfltqyB72eZB6weNdSZmy7Lo4FbHPbvO4H8txV7uyjZ7cd3fIm9w6d3a/V3W24nn+fm9Ie0jjvu+ZEcIXruEOV8KGV1pP/UkeWH/Ugc3aDex+GDWNzh/pqzoPbINu+3iEU7D6/9/dd3eDbuj+Q4vq8fkSO3l6PD2WGvuMuos1jh7qSsW+XdaYWjBIg9+nOX+cFJwuSoP9TCXL1+9msrKW2dJWI9MhOQmICJjtxPFTGtgtpTRKGRC/Lg9nNx78/ik02/1zHewjHJvUVdtr7nazl96Vh0MLUvbd3Qu8ZF1aTT/WRH3KWJt839DvtIvc6fw411W5bNXdowV/BffH+fbf2hJkY85RMEAZ5S7O7uIhHkoYeazRgOh3S7Xc6dO0ez2eTKlSt0Oh2CMGI0nhD4iqIsyIuSXq+HlJLJZEIYhty6ccOl7gpJI45JkwRrnaG3VIowChlOJkglF9IIly9fptVqIaWkLHMnBVUW5GmCpxSDwcBFGUqPpaUuO5vbCGFZXVmj1eqQ5yXWCNJ8QlZotNV0uy1anYjhYESSzDh9+ixlpXnn6k08z2OclFTjGddvbC0iK5Mso9KWyXjC7v4B66sb/Mnz36HIc3w/RArXZitwUjtSIKxFBQrPd8Z1vqdod9oOKGi1nVm1UnTbHZrNBq32Kv2VM4RhyMFwm7QYM5nlRCF4QUReVgjlM5tO6fW7lFXJcHjgAKQ8Zzod4fuCohK0Ox0C36dIXaZFu+2kxeI4ZjweO68RXRFFEVprer0Ove7SAhhxngpice53d3ZYX18nSRKqStNsBsRxiwjNLEmwSUKWZZjam8GRIhF5XgIuCyXLc7Iso9vtYa1lZamPChRGOHbaD0LCuMXSUo/BYMbG6fN43ia7ewcEfkCWZiRhgrWK8XjC6TMbjCcTlpdXuHH9Mjs7+yz1+7U8ksaaeaStrj1bfITwya0DWsIwpNlqgRVUZUEQhA64V+5hGvg+xlTcuHGd8XifdquFMU5yrNNqMRmOsV6FxtKMY/KyYjweMxqNCMKQymq0ycnSjKX+Elk24ZXXX6bX6aKUxfMFsyTDCGqiZsba+jqf+cyn+L3f+ffMZgkOx6qQXgBWI2rSAwHGHOqrz5+rAhBz3fU6gwQkWoPAAWBCSIxxfjlSKkRtb7fIFqkj+Od1a2sXvjJzORNwIJQnXJbDxsYpLj70ENoYrl67gTaWqirIUkvcaDi5Nlub8qLJ8pxOr81k6IDAqNFka3uX6WzMd155jZ29faoyJwg8up0enXaHKIxptdoURcbaqpMViqIIa0v8ANZaXS4+eJqPPf0Ys1nKaDhha2uHb73wHb75wkvcPNiiLEvW1zZo1s8MEQeU2gCWQhf4foiuKtqtBqdPn+aRhx9kdblPHMdsbm7yne+8xK1bt2BxvzuAzvM8pDrU4tf2MHXbHbPBGovBOOkrKd1ZtxahFFZ4VBas9BhPc5dpQ4w27uXzX/zmv+L69Wv85GeeY6W/wnR8QF6U+I2IyWyGqQr80CdsRJQokqxkpXuaV1+/wmiSYawCBH4YsbpxBi9oMhzl3NraZTJzhvNBHILway+DeipjNUr5CCSjkct0cxk2TubGD5tI4aF1iZSGoNnAlAVCBWRJxuAgo9frM0oz55NgTS1xp+psJomwHmAQQpEmCVHsMRjv0J306PdX2dnZ43/5l7/DxbbPMw+eY7C7zfnTq0xNgfaUM09f6XKQDGivL1NMRzSaXR5YW+dDF8/yz/7Jb/Loh57gk888xTgr+PoL3+SNN9/ikx9/jscefJiPPPE4b7/2IpvX3+H1nZtcne6wsbpBORwz2B2ztX0DP1JsD3bY2rtFVk05+9AaQUOwfmaJyWwfKwT7+0PazZhnnjzL6kqTyaCk1/bRq21GB9u8/eJ10knCtel1xvsjIhGirMGLBE3l02x47F97i6nv8dCpNco84+ypBwmkZKkTsbLkEYdTOq0CT8zAJPUUVqC8EJM70qGsNK1Wk3NnNkBrQhXSDHo0wxbf+uqr/C+/9bt8/LnP8thjH6UsCpIkxfMcmf0TP/4ZXn/1dS69/gaPPPQIUcNnOB6TDMdcOH+O3eEBq6urHAyWKPMSzxOMxgecO/8AxpRcv7ZNWU3RVYASMZ4XUFUZWEGSZrz++muYuVyTsDTiFpXRPPLIIzzwwAPs7O6yt79HGIWUVQUCfOWBnmvCGjxP8df//+z9969u2X3mB35W2OlNJ958K1exihJJkSIpiWp1UJZaanW7DWNCD+wZwzbmN2P+jBnYgA0MBgbsHniAAWY8M4BnulstU2q1WlIrkhLJYqx06+Zw8pt2XGF+WHvv9z3nnlt1q1hsiVYt4N7zhh3Xu9J+nu/3ef7JP2E82uRrX/saf/Knf858vmB7e5skGVPWVcju8pZsmGFtDXjSOA5Af77kP/6P/7f8k//l/4o7d+4wHo34wue/wHIZCPzhcEheKXQcY4zDOc+Vq1dZnBwGD7FhzN3bN8FUXNrZDjJX5ZJGx/z03/s59M/9At96/c/ZunyJb33zW2xcfQanJG+99RY37h3z3KuvMZqMOTw+xNaBmNjYnDCdnwR5vtL2mblNE+ZspVSbGet7M3TnHFGkefRojyuXrvDC88/jrKGpciKtqaTCmzD/dkbmnXF658XRZV0E4/Kml1EEemmtQGjEfTZbNxc4FzxRmqbhtdde4w/+4A948OgRSRxzsL/P9evX+6AW51wfgJEkIat2MglrkjzP+3mnriuapmY4HLZrvhohVE/ad1JZdZuVYhsT/JyU6v3PhBB93ZimwViLFcHvxFpL4wxCSeoyJ4oH/K0v/QTf+e4bVHUDbX19XD4u308JD9F830GAT4RM1o79nqd4nwfX9728xzY4CzE+4VxnXveYvGgBku51j86dOVEHrqwhPd6DcC0S7dd2W0eFzrvaDo3wp7kk8dg251z7E2/29EmeSD59EODgDOdz5hSnt1tD3qwT+EZR1pqqJUYaHwU/DuwazHT+xQgCiI53RMLiaRCyzRZRAusFjQ9ZHNp5gibBusfISm7rPDLk/aNs/Zr+vGhRmuBpInybmQ3YVmKrlA7dymmlypDphlQZEhmySSIRPCTFe9/2913WsSTBe7SB9yhrUP0HAg77P31XCvJSglBXK3IkqAl4Ida6yenznM2qeHzsevzGngT4PkVXOff105ZToG6HeJ45rxQO35NB7d22RI9vmYmeUDp17d2x3IoUwbdCWt3R6MHj7vbPo0JWx1yd9/vLHPH9NT9Ojpy33Xsf53FS6WnO/TEZ8rSl6z4S1lpO983p7eC9CZTTpMITfgG/Toqsfq3z+tj6mLNaQ6z5RrGSj7MEP5HKRyxtwtwlzG3GwiQsTMLSxlRWt5kip+WzQuaeYE0H6wllba54j3p4mnJ2yF9RoqInNno5qLX33d5PNGEXp4abD31t560t1o/7V5WwLsTT3Ntp+m29Dp+2/FATI5ubWyRxxHx2wmx6wmQ8BmA2P2BnZ4fN8YSqqTk6OsJaS57nDEcjRsOMOI5ZCqgbQ1EVKKVbreiKza0NqrIkkhKPRQhPkiZh2pCS+/fv4xDs7O5SViVJlpIACMEzzz7D0eEBSgVZn3g84eGDh2xsBsPqjc1NDh4dUNYNOk5xaB48OmxBAIHSKRcv7ZAXOTdvPyTLhmTpBhuDiEfHC9698S55UeCdxxpHY+rgxyB868Gh2Ts4YT4rUHrMW+/uo+OILNmlcZ6mDg/oxlq8cygdvAyoHd7XrSFpzf3DJcW3bwSQQRA8U6QiS4Ns2GQy4fr1a2QDzWRjm1gLbNPgvGN79xrlcklTQ1UHbX+k4dH+fojoTyOMDQDHyckJgyyjKkq8c22WR8R4PO6jPIuyIBsEU/bNzU2ctRwdHtA0DYvFgs3NLe7euQO0ngUOBsMx1gmkijg8PqFpKqSEwTAj0nEPDHdyGF4KRpMh1vg+S6WT9To8PmGxmDOaDBmNRxRFSRwn/PjnPsf/8P/6H5EqJYmDJNtisUBFIbOhrktM01AVJc40JIkiimLeeecdnrl+lclkCASpJGNMWODIAP5WeYFznpu3bmG94cqVK6RpRpKkYR9TYz1IL/BCsv/oIcvpjEhG1EVDXRYcHx0j8Oxsb5GmKVopKttweHKINZ4oi1ARICU7G7sIIbl58xbLfMGli5dI04yqKbC+ZrKRsiwKohjiOOHk6BGOiM3tMcfTaS9bYpsSvEJHAi8ltFFVTrmg+d4ab0sJSsl+0JIIvHUgBEqHSOM4TlgsAgDUAaJaR4hglBMWf971w2ASqR6Ik0qGKGXvSJMkMO6AxVGUOVJKnn3uKmk2xFpobEg/tM7hnKFuaubLGVGcYSqDqRt2dy4ggMO9PWYnFdtb17BOYoxgNsuZzadYNwXn8dZi6gKl4OKlHcbjhGefvcJwGDMapVy9fIEoCllYWxsDXnr+R/jbP/0ZHu3P+MtvfJsHDx5y684d9vcOODg4ZjAYE6UZSTJgezLEe0FZ11TLGd/51j7f/MZfIIQnTtJWAz/UkWnajBMpEVK0KeseZEs2OYJ0SxfxpoKED4DHYp3BiQD2GW+wJujgSymJBxpTN6CC0bRWEYvZMf/6d/+Y17/+Ol/48U/x83/3Z9gYJZwcHyC9IE5TrG+IkhThFY333Lm3x81b93E+ZfviRe7dPaRqIE6HpIMtvvXt7+FsxLLIqYwhIUPFGZqUpqmo6xIhNMZ4sjRBqarNDhugowTnJHgV+lYb0T0YDDnZz1ufnAH5Ysl4mJGmWyAq6rogEuDbHHQpBN3jB0AUK+pmSW0q9g7usrG1zaUr1xE7F3BHe9w/nHHp6gWiS9vcm005XuYMN3aYViV5Mef69Uvcnx+ytX2BRiz59Bd+jOEk43/6n77M0SwjSkf86i//BPsHJ/ybP/jn/P4fSj7zmR/ji5//Apc+/RLz+Yyj6TFV41CZYjLYphln5MUJu6OE66+9wLMvXOLFV68wr46oXM10OaOpY7x3bG3t4KMI5UtGA4UUJVo0JJHj8sUNBlcuMojHXL9wiWeuP0+NJcoUyTAiSQaMRxOUFiyXc8bDCYv5nEhJpFiyWNxhPpuCmyF8jrMV1ktEFGGMJooSDg/vcXdvn+0LO2hxAS0SZB2RZBNsqfmtf/67/O/+o/+Eq8++wFtv32B2PKMoCqazKbdv3mRrc4v//X/6n/Gvvvxlbrz9Ds9cfxbpHMcHB+xcusAwS0E5NjYmHB0dUbuGvaMHeGXZ2JpwMo14cO+YYXaRYplT5gVpFjEcTMjzJXfv3iZONEKFBXOQQqq5evUaznnevXGTfFkGjx4CEF6VFVFrfO69J1Kab7/+Tf7sz/+CvCjZ2tpma3MDKQMElCURSoKUETjLcDCkqUqmx8dcuLDD/+E//8/5/Oc/FzxIsoRIa2KtmVy6jHOe5TJHxzHeBdIp0pKmzplMJlRVyTiVfPqTr7F3/w4XdzZR3lHMDtHDDZIsECsXrl7k+ovPcbB/H1eVeKv5/Be/yC/8+ov4KObf/skfMRxmzM2S6dExX//aCXGaMRpNyPO8JZsvk6YJSgqWyyXO2eAJ5T3eO4ytSeIgXVaVJV/56ld56YXnkThsEyTwBB4vPRaHawzGdLJ+KUrpUybpwYBdIWVE01hmsxnGmH7sDwRJyJir6zqct6oYDAbEcUyaprz7zjt88pOfJE1T5vM5g8EgeMvN5/154jgOa7iWbOled4brZVmyXC4ZDsM8LoTqrzOQM7KXCk2i4IdXFEV/rVpr6qYmjjUiag3dETTWt2sZzXg8oqxqvJD86I+8xquvvMQf/dFX2dra+UjX0h+Xv0FlHT3y38/jPeuYBfDkY30/pMjTXkd/HtmisNIjVMjAU8qt+UBYIuWIhEEKj8YhhaM3OV0jQLrIQ8SKJHkM1PNndutR0eBvYZ3AeoVxitppaqeoraKxmsZKnJVgBd6Gp37hV/rjPVbzHmQOnLPNU9TV973t2nc9ULTWtjoQPlSZCAFSVmKsonaKymkqr9BeEokOcBfntqEA1gQj80BOOCCsbRspabyiUZrKGiJpqXCtpMhKe7775/v6bSHcx9ictXf927NXtbrWnmDxAXxxHqxXSCcx0iGFx7kAxhkvsarz2DBoEQBuf45s0kdTTl9zd70f9AinJWI+2JWuA229UpYgeOmwRm6ssRwBoD916XTSXKeg11P6MqdB2VOqXGevZ+2wZ8vZ8exDg4y+tyUP/eEUE7HKgFrlC4mQRXJOFsz6tfdEiAAlfJ+B1GcircnvdNSEX6u/x+9y/ehPbodn9zw7DK0TGeeBq+cd932HF/Fe25x/rR+TIx+snAXp4TTBcXocP/971o7xft3l/SmxjgA5TaKsZ4gEc3XV+4nUPiK3MbmLWLQZIjObUtqYwkaUrs0U8TL0hbWLXI1HvE+jacefU+PKuhPW+5dTQ8DZMRH6cSFkjJwmRjqlj7Wrfux1N76Lj4C56Obc84+7TtQ87dG+D7amO6vv6u29T74uQdbfx98UYuTo6IjRcEBdN4zHE7I05eTkmDiOyJdLjvYPsN6ho6h9IA5ZCBsbE+qm7h9aq6oiSaAqKrRWXLywS5HnKDzOWK5evsLx9IThcMAyL4iiiMnmFuPJGJ3rFtQWxHHMbD6nKAqapgkP8Erx/PPPY53DWMdwc5PpdE5dW+IoZT4PmQ0CxXy5ZDp9yHQ6pzKOK9eeIRlucng85f6DRzx6tIfWEXGSBKkvESL4o8GI2XTGvUcPOTycsSwapAzAwLI0JF4xL+ZY6/AWhGwlHXwY4KSURInGWo8vDdZZhumg1+uzjaWaNlhToHXBo8Mly+WSJPkGSRIxyGIu7GxzYWeLzckYOOHqpV22tjJOTo7I8zkbG0Oee+4lqiYYqieZYmA98/mcqqpI04SyKPsIVGNMIK+WS7IsYzgcIkowxnC0OCRLUy5dusTBwQFpmlEUBQBRHHNyckKWDYLJuwdjw29RlhUjNUSIcOy6qqnrijhOqEzTRp6GOunMVJMkac3fE5rGEqdJHzX6kz/1k3zvjXd55+1bXH/2ZS7sTKnqCoVASTBV8MIoyxylM7x3jEcjHj58wMHBAePxAGdND+RbayiXS+aznLfeepv7d+6xKOYU+ZLf+Ie/wQsvbOJrEwBuC5HWNKbh0f17eOfZGA5x1lCUOVuTDWwTolyF1JR1w7JYspzPqZuGixcusFjMWFYl4/GIZRH8aMYbW2xs7BJHEcvlko3NMVop8nxJrGO8ExweHbKxsUkSZYyGGbIFjp1rKMsaIWNSqdspUyNwmMb00b8CiZdhhNdaBwO+1lcmEIphMIuiAGK5Vnu+A5260kUSr2v669Z3Buj7pdaaJEmpqoo4TqnrMvgLuKAXHycZSmmE0kRCMtm4QDZImU6n7O7scnx0wle/+lVG2YAHd+8RKU1TV2TpAOcsXnk2t3fDpOVlyGRpDHK0gTU1Ze5ZLKbcvPUAZwviSPCln/oCn/vsj7I5TCmWc+7Mj/DWs71zmZ/721/Ae0HdWPKi5Obte7zx5lu8c+M209mCpqiZLpak6YAkThiNN7Ft9kdTGxbLRchSSbJANMkgU+acwzqLbOtOiGCCjPJYu4rMJnBX7YQcxgvR+h147xEygMTGGpwHrRKWZQU4xuNtbF2wXFq+/Ft/yDf/8jv843/467z6yvOU+QylBJHWLPIKlcQMhgO+9853qRvDcJSSFwV5uUTqAYPBiLffvo2QwS+oLGtA0BjHYlmiO7NjSyvRpojjFGdnuLrBJ4AXZIMxUmmss8RxQlOXqChGao23Fuc1kgFlpRkMtljk91DKtzLVNtRFL80Q/JhQPmTYSVjmU5bLWZBG8ikuHnF3eYRWQy5vT7h54zY6SoiUolEFh7OHbE8+x6HwbA43uH3rJg8OHnH/8D6bl0Z89sc/ydtvvcsf/evf4jOf+XH+vV//Re492uN7b77Nt7/3HS5fu84nXvsRNrd2EIkgHimyaxEX3TNo6cDWSGnJhorhhuL2G3fIhhoVJSiZsbM7oioiiIL8ofcGGhhlY7Y3d9BbE26++RaTaxP2Tx6xd3LM3uERy7pAJQqtI7Y2J0SRYDwaEscxo8GINIoZjyLS2OOIMUaQxTHpQAOeyoISESfTKZuTIbVvSLOEWEcoEzGIhgyiAV//2uu8/OLLPPvM8/zxn/8lB0cnIbNvkPHCq5/gJ770U1RFzu37t6lMDRJEJEhJGExG1Nbw8PCA8faAZesB0TSOKJIMhpqqnrFzYczJ0YI8n9E0MVqrkIGYJhTFAo/F43DekEQRQnguXrzIxmST6XTG4cERcZyEKFMZADApVOttIZEiSEh+61vfJE7iIO/kA6BunUNIUCosv6QUCCnJ8zkC+Mmf/CL//r//j7l+/RqHR4cI6XvQv64bnMvJsgGR1Lg2oCLSGmcMkdKYqkB5y8nxEYNYcWF7C1vmRJFkd2eLLE7Ye3iPvDpiPIrYvLjJ5uUJj24/5MHeCQ/vP+KLP/3L/PMv/zZvvfkmzzx/jWU+ZzQeYJHEScZkMuHy5Us4HyRQ7t+/jyBkiaRpwmJhybKEpmmQSpDEKdZ6/vwrXyHPF9x79VVm82Neev45rl25jHeW8WRIksSYumkl7GSfFdj5lnRBC52M5nqAQxRFRFGEEJIkiYI8p5S9h1vTBA+m559/njfffJPlcslkEggerTWjNtOyk+Lrjj2dThmPx212atN/35ElWZb1GSBdBmP3Psw5MXGS9ubsrn26iaKIONEY0xBFKZEO4zCEjJl0kJDnCxpT47xgMEj5mS99ia/8yVdYTI8+8vX0x+VvUFlHQ/xZ4PM99oHzkbH3KP7sfmeP9zTHWPu/3619IU6RGB6vwGuP0A4VW3RsiGPDIKoZRg1DXTGOKoaqIpGGRJiWJHG9QfY6AdIdf2Wi3MOYZ26nAzW6aw4gTuWCtMfSxsxMxqxJmTcp8yphWSWYUuMqha8lwgJWtI7UrLIY/Om7P2u6+oHq9INiJk/CUE/99ed89vhxvAsESUcSNU5hhexqeu1UZyPN/Qrg8IJQUeHSEmkxvqF2mkhGvecHJlxE7yFyKnPk6SpjBcQ8qQIe3767Lg94J3tvB+cFxkm8bvdWgDKh3XShsD9QNPfDHNyvcxIf+eV0/WUlp/M4zOjX/j7WFPtjPL1d+3nHfd928BTbnN1h3TBZtBfaV6PvCI4uU2MFPj42wK0dVEA/RknhQ7aVCBlUsTREwqJ72/VwONcRHq08z5Pq+Gnl3N6LODnbi88vT/9LvR8p8kHJlg93riddwUdfvt8u9mGv6bzz+vO+P4Nvf5jzvT9E3vmOyJ7U69qx9yE7JEhnBR+RymsKGzN3QTZrYRKWJmZpE2qnaFwISrD9DP343T4F1t7jpadIh35efroB8j2nkvV6FW0IZnthHXEePGfXtjujQ7a6j492wD593LXP3+MU/Xh2zsE+1Ez0xLn4PYo49+X7lh9qYsQ2JkTBO89sNqOpK3Z3dzk+PEB4SJIUIQXz5RIpHOOxbuVhFFIpdJxgrAMZsiYEDmscx4dHKCWZ50s2JhPyKhiQ4oMEzXg0pmglmTqjb+c9VVkCoKQID8tFkGw6mS6I4hjjPNOjGVEy4MKFjOOTBWVZc3h0wsHeYQDfhGQ4HPPiy6+SDEZ87613uHf/AVJoknRMWdUc7x8jhWKxnFOWhygtOTg8IC8LPAoRxTgvOJ7PUUqzKAqsA9XKEZm66SfqYDSq8FWNsa6VL3Is8wXWBm8RJUUbSa4xZUMcg1YDitpTNVAUlqOjPd65sUekBMNBytZowO7OBru7m1y5ssts0YB2KB2TVwUpEtfUKBURx4FsyDJBVZUYa2iamsPDQ5IkJUriIGMRKebzOUpIkjgmSRKywYDhaIS1lmVeYF3JaDQmSQKgPp/P8A7SbMRkMqIsg2Z4XdcUecFoNCJNY+ZHwci+aUmUuPUqUUphPTgX5KeMM1y9eg2hYsbjbX7lV36F/+q/+r9QVSUbGxscHh2R5zmDfNBm3ziW8xmjLMXWhixJWQrFW2+8ydUrl9A6GL4f7e1x/+5d7t65x+ykJF9W4DxKJ3hTc/fdBzx37TmU0hjjUEmCWS7Ze7TH0cFBAMiHMYMspqkEpqm4eHGXKE7wQjA9OcEUBhWnmKphvshROsZWDcs8gDdl0XD58lWOD09ohOLK1ec5Oj5EK0deWnSkaOqGQTbBeUVZ1mxubgWt+TJIhjhvwZpALEWdrIzopQi6TCrvXZs5oltSyPb9OsikKJSSbEw2MU1DUZRoGYarHtRvgfyOVOmIkK50siXWWhprAoDpHZ4ATApJIHMKg0cSRUmrfmAwdoA1NQ/u3sZbePGZZ9BKEkm4cvkSg0HCV//izzFNTV1VKBchZYzSMVVVI5xHK4XxIJwkiiYYq4mjMc7VvPG9+2TJmOFnfyQYSUuPdw2urqi9xVhHWdXEccbnPv0JfuzTrzGfF+RFxY137/D2OzfY2z/k0d4+y+kcogjjPEIosixpSSRHFMV4L4NMCwaJRKgIISXOGnAO78UKiPRt/YuWFBEChKc2davXr/DSIoRFyhqhFMEGRRPphLryeKvxVjCeXGJ//4T/5r/5v/Ef/m/+Az7/45+hLI/Cwl1pnBfcu3efsgxeQAC3bt3COtja2OR737tL4yLqRvJo74CyCONFY8OYKqRAETKFimUZJOUsFEVBOhgSxRHLZU46GAS5nzIArtZ6GizjzS3y2RTXGJyLWcwbsixB65iynJKmA/DB70EgECKYt4doCY+UHutrinLOg0d3uXRxyCjdZLi5TeMlt/Il8+9+j7uP9nGV5ej4LulmzNVJRrH3kOvb2wyjhPFowj/7zS+zuztke3eHxWLO7sYGLz9zDZvPefP1v8SKiFdfeA50QmM892/cZl8+wDqHHiboRLExHjFKEiaDAcJaDh4dk80FRSmJsxQdxTg0xjUgFcN0gjeKNBqj1QhDw8NHR9TFMYtiSTxOSLcGvPHmHdLxBbLxDhaoXcODZY2gwh4d4I2lLgyJSkm1ZDyA8aBkMiy5eiVlayMC3yCVwuJAWKS0jLKYZ59/AY3GWtCRZu/RI44PD7l+7Rp5XnL37h5FYzia3edkdoLUks2NUZAELHK8sVy9eJlKCC4++yzZxgQjFcOtHeJUsbW1y3JRIETNyfExUnlqauJkwMVL29y7s6AsapwNRt+j0ZCbt75FVeUMx3GbRSXQkeYTn/gEu7u7vPXG28HXKUpa3XIPLkhpOeepyrr3PkqSBFm74ISjJMY0gYQVgUyWSlJVBcJ7nr1+lZ/7uZ/liz/xBdI0ZrGYkw1ScBrvCRleLXnvXMhesE2NFoqmapACsnRA3hRkkYbGcv/eXV567irf+OobzA73+cmf/hLT6ZxBYrn+qVfwJ/vsv/NNlBZ4l/DyJ17is5/Z57/+L/8LZnXN1uaYk5NDtJZ4XCtHF2Sztre3ufHu28znC6QURFqRpsHf6fDwgI2NMUkS9zJYBwcHHBzus7Oxwc2bN/nsj30KKSRN3VBVBUoLnIvCXK9VMGBHkCVpT0BUVRUkIOOYLBv0Y33T1G3wQ4mUGqXCmmAwGLRSmRWLxQLnHOPxGO8ceZ4zGo2I4zD2dKRIR7R02SnOOebzeZBtbU3ZF4sFQggGg3ANWkcopXsD9iDX6fr5rMt+BXpyf7lc4glBGh6wxuFceAhqrEEbidIKbwO5XVcFP/O3vsQ3vvYN/uVvffmjXEp/XP4mlycQF+cBI379Dec/bD4R9PggT6YdH9CTMEH+VwgPKmSCKOVa3wZDJB1aWbS0COVAeWTk0LFBxYa0J0ZqhrpipCuGuiIVhlgaYmEDMdLK0awgFN8/yIv1zzsyZu2uV9usQFznQzRr5XWQ+DApM5MyrxPmVUJeJzSlxlUaWyuMURiraIymtBGljTBGYY3Em9ac/OyPcPbtDwDAfk8k6+y5V1zOqb8hXVkEqSmnKVxM6SJS2fTyVusm5N3ej92O8EgPSlg8EGMwUpK0wLASvYhQ7yviWqnX8y/6g5b3hvW6bAfvW7N24TFWhetABGBbrvwhpHZIH0y41Q+cHPmg5f1hzA9dTv/MKzLpnHEofP5+MPmT9n2v/d4DwFv//rxLf49qOQNVPv5OhMQ218r49Jn8tATZOfXejTuy/aeFQwtLJF34J2zf/tfcWtbqYP24Z6/r7Gj/+M2t7/X+5Mh7lyfDtu9HQa2+f79r+SDlaa75yVfz0ZTv934+imt5nIo72wZXqLY/1QmeQDacOsb6KuJxWm79XUeIdCO58cEXxPggmbUiRCIKF7N0YW5duITcxpTt/Gm9xPoQoPDY8O9Du/dn2vv59b9u0N61QdFnmqx62gcpZ/rg2SqB1Rwh2vFPhAANxzop8qQW89G1zsclrN4/Y6QjU9bJmz4r90NeA4gz7e7J266PRR/Uc+WHmhiRziOdZzQcMh4Hj4njk2mQnIk0eMFoPMI6QZImJHEatJyNIYpjVBxhqjIsoEzNQEcM0pSqjX7WUUSJC1rPkcaUNWkcY6uKerEgywZMsgzdkg8I0QJomuWsIE1S5kVBmsUonZHPCvb279I0hqPjExbLHO8EVdOgZERdN6RphowH3L73kIePDjg6Pmk17jV1c8zJyYymMXigKPIQSVlXVE0douW9w/kgP+SsQ7YSRlJobCvxYa1rG47AeU9twDoPtBkTnR6mFMgmgM3Ou+A3IILUgxDBnFypCCWC54NWklhLZkXO3sGCG3f3GQwSkkSytTVha2vMhQu7bO1ss6UzhJMkyRAhPVVTgrc4XIiQFbC9u41zHucsTV2TiKSPInXAdDEPiwmlkVEEIgCs3gmmJzO0Uiymc7JsgPIerVK0tvimwTtPmma9B4GSkqoscdazsbGJkpq9/T3SbIiQCmMaJpMNNre3GG9uE6cZ3ko+/ZlP88LLL3Dv7kN0lIDw5MWSgyPY3N4Kv4NzNI2hLhpSlTAebPLg/j43372LUpJvfut1bt+6jTcOJSOmJwuOTxZEUUzTVDxz/SpxOgharDicLTnZO2E5PaGpGsaDQQCWvWW+WAQZEyk4OTkJGStVjVLBFD5LM/DB02QyHjPIhhRFjqkDYLf3aI8iL1vvlZj5fE6aBEPzpmlI0yDl1bTA4Pb2NuPxKIBtg4yyWeC8w5gg/yEV7agqwBqcU4BviZBOszcA7sYapBJtOwPw4XexBmNqlJZ06dYdWO19GLEFwR8meLUEkoTOv8QFcFspgXNBy1h0z5jOB68Xa3BSIKQgn9c0VdG254Q0idkYbNLUJS88c4EvfuGzeN9w7dKIN996gzffepu8qPB4bOPCJCY9Umu0jPAEgiRKxhhb47xk/3jJG2/fY3NrhxefvYYapRhbhPZrHCfHMybjEVWxpK4KfEsCXb9ykUu7Q37ixz9BWVbsPdrn4OiEvZM5jw6mHB4eMZ/NmE7neOtpmiVl1SCExguJTjJUnGItOBfqSvhQz13EM63Ov/cO32aZhDFDIFWQpPKE9z40cIQPppjOgkfROE9eO2SS4mTD7/7hv+FHfuxVZBRRGkOcDHi4P+Xmu/fRyQbO1Lx18xYHezOuXHuJW7f3KI3A65iHhwfMioqysaA1QkXU1oKBYZpSFCV1bdja2GAxm+Kd4dr161SNYS6D+XucRVhhqKqGdJgyP56yOd5AqhLbQO1qmromKz2TjS0WywMa2xBpCNJwKhjW+7YeRHj4jXSEQnF48ABj4Oql5/CDMTqJqcqKB/ePmc9LpBR85lM/yvUXr3A8nXLj7dtcvHCdsliytbnL9966z/UrzwRtcpdydHiEjhL+zt/929y7f58/+tM/JUph/3CKQDMeb1O6YDpfzJeIUlMtZyySjGI8RgJbO5ugNMOJoKgrvAetU2RakjcGRcTmxkVmx0fUCGScMBxPGCQwSmMGcYItC8rZCVomlA04pbDCgDSkWcRkvEGWpKRxhhaCYaoZpBYlTsiSJXFSgAygkxUWoSVVnXPz3TvsXLxKphOcaUiTFFDsHRQMJ89yf3+Pr/zFd3j+5efJy5rd/DJFXTNbzpkXS2bGko13GI/HyOGYmfWYeY3Ij3DOI6Rie2uCrQbkc6iqmjKfcbh/zPbmFpKY0VDRNPtUlUESk8UjvG84ONwjTqMwFilJnMRsb2/xwgsv8OjRQ+4/uBek6nwrUxcYRKwPMhrBS0Uj2n29rwMBYG1rri1QWlKWBXVTsr29yRc//3l+/pd+nmeuX6dpasoyjMFCSIQEY1ybOeGJk0BOWKsAh7GGqqxJkxjvFVk2QvoaaxOGo12+9+Ztbt5+xNZkyGJWUJdLLr/wHPb4IbduvMml3U2ODvfZfvYVtp69wH/0n/0vcL7h//PPvsz1y89ggOlswc7uFbyMOJ7NEQhm8yl5UWCdRcioXQDLds4GKVRYW1lHWVQYY/nFn/slXn3lJaqq4MXnn0FisbbGO9OmigcZLmscRVmHjBgEcRoHz5ckDnKM7ToleJGY1p+rlWsUNctlmCdOjo+Zz+fkyyWiJSREOyfPZzNeefllZvM5ZVFgnWM4HFLXIStE6wgQaC0oyyCBFTIYQ+ZcHAW5sLr1iqmqhkhrkijGOUtd14zHo5CxUlbkRY4xps0qioLcI5KyqlCRRjgQUqK1xFlLXVc4Z0miCOdoDeYX/NIv/Sx/8qf/9geypv64/A0oZxGYddzCr3209uD7pMfK8yG8j+Da1q7Bdwak0uO1R6YGlVqypGYjKZkkBZOoZKxLhqpCS4tqvR1U+1rLYHwdyQAmdoCiaskQJfwaIfK4JvXjRMlpIGWly38GhhWQ+RqPYEdJTBTAHeMUjQ1/rVM4G3wpFq1Z7HEz5FExZq+csMxTqjzCLCOEE8HHqtMZeULd/ZWVs9ewhk4EPCMQI5UNWvC5Sxj6uiUQ6KWyHj+Ef+xD7wkSQt4SC0MsGiJpUevklO+eEcJOvUQZT9dmH6/Sx8HqU9+Ix/fxPpDdzq9IIWk6qQ+PciHDJQBtPyhJrb+exUOf39CRIudZ0a/8Rd4DTvfn7HfOsc477vvB8Y+f670Jl6ctgjC+hSGuldJilUWyAkhpAdIuUyTIAmppiTpyVwYZOSVcDwyuneWxsbUbu9+vjT9d+ShmgDXXiXOr9nEPkQ/7C3xUfeyvW1/9KMmd89pG3y5ppZ56QvM0QH8Wsu+XGKea4irL67zxuMvyC3JZitorqtZYvXCtbJZJWdqUZS+ZFdE41Rqxy5V0Yn8WTnWHLlP2aeTyOn+pdSuS/hgfovl3dfbE30yEOUGyFhTiaXHmcIQnjocf0YJsXUryw6pzrbLUPpoxoj3q+2/TjpmdHNkH6Rw/1MSIcJaqLFFxhBYa50HpiLppGA1HJDpGIBgNRxRlSVVVCB+i/UaTCUJCVVfEWrO1sUHsBcvZnEEcYwXgJUYISmOwVY0wQR7CW0eqI5q8wDUNG9vbxFFEZSyNcTjrUDIlSycUleBkmnPrzn0Ojo5paoMXgro2GBuknxrnyKsaIQQnh0e8efMOdW3Cv8bhCYCIMSZI5hjbEhngvMc6j/OKqu78FsLq0nuPqes2Ban9Zs2sGjoJo/CZFy2r2mt/ipB+2a5CO2PRpo3ud9bjqZA6QkqFlgqtQqR/JAXKSZbWoJZwMDtC3T1C6ztsTCbsbI25dmGTq5d3uHBhExVJvCtpyhIdy5AZ0ZhW79uFiNJIk+cFWZZimprF8TE7uxc4PNhHqYg0GxBrjWnCb2Bsa27nHVoq6qrGWo8xIRMmRHuGjJkksoFwEWAag8UhvAwgvQ6RwZcvX2JrZwupNQgFWuGF4ld+9Rf5L/7L/5qNjS2MNyglyYsl9tgzGAwZbowwtaXODY2yZMmQ+WLBG2+/w+/89m/zne98m9FgxEvPvYQUGpRCxhHLsmE+y9m5YHjm+ReRkQJZUyxmPLh7g0hrtiZbHB3MGA4yvJAM0uDF0pimJWSafoKryiJkaXiIpKIqK5wNnhH4oM1+dHRMXdcMBgM2NkcMBilVVZAXS8bjMdYaBoNBT2xkacbly5e5c/ceWZYSFSWLRYHy4KVEtay6t6C8whhJFMVIGcgK68JvHMURvg6fdQtc4QXGOJomAESxinC+SyT0+LUQMNnJQLXtVrajuGmaNovE4Ryt/j89sIYDL1zY3oVzSyHAhmg0Ly2S0I60dLzw3BV2NjPmi5Lnru1w8cKP89KL13j77VvcubfP/uEUhEJpiVQenSTkRYN17YO10sSRxlnJo4MT/s2//Qp3nnvA5z/3Wa5euohQIHzD9laC0gKhSuqONLQNd2+/zTDLqOuK7ckGz12e8NzVLYyIMT4AdQcHB8znc+bzOQ8fHVA3jsOTOQeHMxZFw7IsWeYNw9GIRCfUddHXmyMAsL7Vue/8EkIGjwIvcNa3aa0KbwleRQLwIeOssQYvQ0Q70mOdIBqmyEQSqZQmd9RWcfPWA8oSEgTT45r796ZcuvQSB4cFx7OGxkccHs3Ym86pncfJ0B5GWYK1jqaqaIwhXyzY3hjhvWN/f49slGFdMLLevbjNoihYHs/JBhnGVgyHY4rFgsY6VJRSFRVRHIFXzJY56Shjc+cKxeIBSmqCT4IN2XS4NvMujI228SAsSnryxQPu2ZzR8ALb27uMxgPiWDG6PkEIuHrtCt/89uvMlzlNYzGuZFnOuXTlCuXXPcIMkQrqUjOcXOB4OuPdO7coyiXGFfzKL/8d3n33Nn/6Z1/llZcu89ZbN5hNTxiON1kcnzA3hnIwpM4X7Ozscnh4gnGeycYmk41L5EXFclkgo5jSnSBshG4Ej2YL4ixCmIr94xNENWcrjYlFhDSWgZIMMIyHA0abW2zsjhhtZSRJhhQh0yqKFFpapKiQYk6ZFyjVIFyBFxbjawwOfMiQ804yHGxgTRifhfYsliWzXLC3Z5gtE0pZUk/v0zQN5cJhnQStkCJCqhQrIk6WlmWdE0cxS1MwiJKgXe0Ny+OHKCDTW0QiZndrh1QPqUtPGiuSJCJLIx7c22M4HDMab3Jw+BBjK1QMxhpGwyHDwYiXXnoZgO9899uBnIgESNevwVy/VBWoKMIR9m9sQxQrnHUkKsyTeZ5j8prhMOWnfvJL/Orf/xUuX7mEUJLp/IRId8bdDZHv+V1ojbk70sQ5A96GB2UtsM5grAokTCPI0g3yvOa3fucPeeu7r3Plwi43bz/ik6+9yPUffZF4ILDOk2UDtja3WRzuk+iUbOMKuxuSTNdEWEbDLRQpaZQx3t4hGw05Ojpmf38PpSTpIHgaRVKTFzXONMRRijUOIwVKWayxDAdjZrM5b7/1Dq+9+jJFUTBIdSBVlSCOFVImKBlR1Q1p6rDWYGzDYDgI0qdWkWYZsdI0TRPksbRERylSSGxgZvG4fn5o6jqMb0BTVjjZcPnCRY6Ojrhz5w5HR0dBdpNAoAUALWSoaB0hhCDLgnSlUiootBAyP6qypGlqtFIM0iRk43pHmgRvNq0VAk9jajytV10rKWmMwRoHSuG8RyqJUhIlBbTm80rqfk2nlSTPp7z08nP80i//Av/qj7/69Ivlj8vHZb2sIxbrz6yCD/X4+p6Pve/xQOrXt+nkmFpvkEhZtLJE3T9t0JFBJxaVGgZJxUZSspEUTHQgRgaqIhLBM0S12R+q9RDpdPk75f91aawVCLQCrM8DDEX//frtrQtBdS5kvj9H5wnQH7cFOFYyIUEzvfGKpUtYuJTjJmOrnLBdzlkUKWUeU+UxtYloTERtWgPzRmOcXMlvrf2AHxq0+4ANYP03PJdQW3ee9wSTdKcCkGU1tVJY2dFS54md+J6Q6o4hu+N60MISI4iFRRPmQ0Fbx92//lhnG/77VIBYf7l2FHF6k/OPtuoVvssKcGCspBYKZR2RCLr3Ftk62K38Jf66ga7rzeKDXptf+3sa3n4c4j69DW1fYY34eDKU333v1/d7in0+EMnxPsd9353P27NDjP0KgMWvgNueRBOB8NXCEUsTpACVaYlB25K+3dh35v48qx4mziEbHyunvU76ntM29g/XPp/ctvvW8D7HPp/Mefry/ZIqZ4/z16V8WFLkvLn7vGOdhqTXGoF/fP8nnuycc60Tmh7azDqJ8Sp4R3lN6SMKF5G7mLwjRmyQy8pNQuGiXjbLrvtJPWEmD+3Mn+/htbZV1w+7+10nQtYzR56u8s+MoGvHeOzqOvKmzY50HYEiaJ8fzh7j9AV8tObo5897T7Vnv+uHP8bZ462yTp58oP6XF6vx4oMsa36oiRGpIE0TGmcoqxypNFmWUCwN3lke7T0kjiLSQUaaBn1oITv/CBFEUYyhbAxHh0eMBkOODg+5duUa3jqqokRKRaQVWijUIEjQCAHjzQ2OTo7JbYPNF+g0IxlPoKrJkgH5bMmNm7d5sLfPPA/RhkoFKZbGNFgLCMlsPieKE4SUFGXNnbv3WS4LlIoQ7YK5bpqWzAivnWuJj7ZhOOdbgsTivEe0GRwhO8S2kg5BeqgjQcJnMkSF+zY160y+VNA9le1fkC4AyF1kuTU2LOW0RbSkiW7PHWnVg9NayVa/V6AjyXxRsbe/z62bgjSW7Oxs8ImXn+O5Z6+QjXYZDBJmJ8coGeG9w7mKbDBES0lTVXhryYYDdrY28cbgGsNytmBn5wKR1uAMTW1IB0Oe3XoeKQXT+ZwojWnyoDMOUJYlg8GAprFUTU2SpngPeVEwGk24ePlSq4c/YCPZZHN3F6FEGzUuQxSQs3zqU5/iueeeC34nScjMkUqhCBkHiU6w1uK9wYkGGSl0IsnLJdEg5pVPvsowG5JFKYNsxKKoeLh3QBIP8Uoxzwte/9a3efem5OqVTapixng8Jl8s8c4ymQxpmoqjkyO2drZZ5kviOO5BbWstTd2ghKSp696HY7FYtDrnK730nZ1tJpMJ1lryfImULYBjbS9TVVUVMqR0ICRsbW0QJzHWCja3NkL2RCeXRfDpAYnQIgDaxhArSWMMnmBC69usD+c81luUkoDojWydC9kLSndSXL7fpyP6OgmUru2eJQC7bKOVL4nvt+vahG+zJ0IWicNIS15XJJEm0Yqyrrh19w4vPHcN7wzLRwte+8TLvPTii9y9+4i337nFWzfe5ejwmHlehGwmEaPjDB1FaKVw3lAbQZykOAPf/e47nBzN2d3e4vqVCzhXEccROztbDIYp4/EQLzxxrNlJI44Pj4JHgc4YpAkHhwc4X/d1sjWU7E62Ufoi4tOvkmRD8qIhryzGaxZFw527D/nqV7/Gw70DrJJ9O+l+586AuPeFaeu1k/HxiJB1YhyRUmgh8W0EvdYSLyFOE+rKIETM/sGcr3z1W/zUT/w41pUcHh7x7s17SD3h8njIX37jz3nuhddY5Ja7Dw4Q0ZCisRzPFhRVjdAajydNE6xtqGvDZDxm78E9trbGjCcTbr/zFt45jLEcHBwymmwg6hpnPIvZkjROgdAG0yzD1B6lY3SckqUKUxm8a5jPay5e2KQpp1gXiEVTl21WQ5B/6+oiLF4EQkisqzk5OaAqHAcH+yRxxMbGiCSLUEpw6+47OOfY3tllPJ5QVg06EmxvTtjZ2qIqSnavXOL+vfs888xlPv/jn2eZT5lNpyQ64sG9B8xOTtje2OCll15kejJjkS/5pV/6Wb75zde5fecuW9tjiqLh7Xe+w2i0xYULVymWNfn8kN0LV7BRTNMYhCmYL0pk3HA0naOVQ7kcyYRLGxPQgoeHU3YuX2O0eYmtnUuoKGVjexNkRZT61lOjTXl2BkmDkp6qCm3VmrDIFSICAXEU0fgYhGc82uHCzjWsaR/foojGCQajCdO3D9FpysXLW6jBBpvjIdWioVgUlGVNvsjJW08kYxuaxYJpUeCBdJCRDTMG2RApNFk2Io5G5KXBuZqb794CJFk2IksmWGsYjhKk8BwcPuTGjbeRMowHaZqSDgbs7O4ipOKP/+hPwxhCyAzxLZHquyw2IIpUS0jXJGmC85ZISSKdUJbB3DtJYn7mZ/4Wv/TLv8Az16/RmAqlBMsieF0oJXHG9eOYtW4V0CBWkk8AUhPGq7YPG2uD55NWVI0lygb89M/8Ha5du8LdWzf46je+wW//7pf5zS9f5t/7R7/MF37iJ8HU5PtTTo5PuPXuQ64+/yoXLuzw8ksvUhgZ2n/TICUYU3Pz3ZshK21+EsZWH2RLZZJQVnnw8FGCqq5ROu2zUJ3zHB8dkcURRV6wtTVmOBxSlh5r6176sCpNK3kqKEqHdasFcF3XYQ0ShUCNNE0xNgQjdGRD02aERnFMmgRpL9tm68Qt0fHss8+S7O8znU4py5KDgwPiVgYryHsGKc26LjHGsLm5yebGRj93KKV6n5H5PIybsY4wdRM8S+Kol+gqigJrLWmStA9+XaaLJYoixsMBZVGETCIlEd7jhMWYBq3DMfK6CGs6a6jrki/+xOfed338cfm4PG35oA+O6+XD7xfGs05m1UsQ2iFih4gtaVoxScvwLyrYiHKGUR0ks5QhVgEU7IDBTkqm0+DvHo5lb3S8ki86DZecBsI/2HP76btf0eP01yDFCnrtzo0A0csmtZ5DwpIIw1iW7Mg5V6MTikFMuUaEHDdDjs2Qw2rEQT7iYDnCFAm+llBJcB0PcQb2/CA/Ugv8PHZj5wBbvbqRDNHuZxijFdm1hkb61oS8tpqqjfA1KKy3iHNSYXoQ69QHHtWCJI6QVajXZbRO4ern/KItMPy4PFMLdrXnOA/EOfezM9d8Lq3mA3fVeY0Yp9rsIYmWEiVCPPZ5YPRfbWkB8nXC7YPwCGvtZvVvPVOj+zY883WN6rwe+t6yWO0x+0tdQbhP3oe2r/y7qOlTtA1tjlD7v+9B176q1y4pZIqEzLZIhOy3VDak0pDKmkSa0P5p5QCFQ4jTXiOnzvyeuGKLA4nTV70ORgrveazrPPX9c+rvOWf/gZe/Hv3qr76c/lVX5Ul9RpzZ6kn95jTRseq3YXQ/2/fDkYOxusCy8g8JhEjM4qxUlouonKayuveq6szYHY+X1RPaKtsijGMr8q8jZdavvycDz366Nkc+LhV2fm2IU594zuaKPImc8qJdt4jVHXRyUkLSjl9Py059+PJhCI2zElzfL2Fz+njvccOCNhnA92uQDyKn9UNNjBhnWORzBsMhG5vbwfOjqrmws4MxhjLPEcMBPvcgJYvlDEd4yC3zHBDQGBCSJE2QkWa8s4NKE7COQZrhqvCAWkmIs5QiLzBVxWgwIkpT0jgmrxpiFRNnGSfznHdufI+Hdx9SFiU6CqSHdVA3Nc57HBIhJFVZECcpaZpy48ZNHu3ttZIZUJVViFAWkqYJ0lhKaTyi1aL0OOsxrSEytAAd4pS2dQ8gC7DWnTIsPTUICEDK062Ytc7pfVjI90CgCIOKsGG0C0H11J4+s0RKQaRUeC0CwKobSRxZVA2LZcNwkFAjQN/nwf4Jo0HK1csXuXxhF+sMZbmkrhuyVJGkiueee444jplOZ2gdzFabqkYLUNJTlzmzed5mD3j2Dg+CXFhdsxtvnwKZunotqhIhZTBz3z8KfgzecjKbMhgOuXDpEiiJiqIW/A1gmG+zaJRS/Oqv/jL/7X/7TxmNRpycnJBkGcJLpA9ASt1U1C7q06iHkwHHsylf+KmfYH9vn0Qn3L15mwd7DygbjxVQO0+aZZzMF3zvrbco833+9s98gYvbY46PpwzTjKaxAWyLEzY2JuT58hTI3RnZKyVJk6SXmerIjgD0xRRFQdM0aK05Pj5mOByiWtP1NE0ZjUandNYD2GOoKkOaxAwHKUfHc7SMGGQZRWXagT+QcL49lzEWUVcg6NtIr72OaE3cXU+8QDBU78gcScjqEb2k1orc6Npp3267Ubhrr2e2WS/dcfp+1L3WEiegtiZM2tZTViWTjQmf+pFXg+/N7IQ0Sbh6ZZurVy7wt376C+zvH/Bo/4i79x5y584Djo5PmB3XQXYGgZZQakEaR0jg9s2bPLx3l7/4i4rNzQllVVKWJcNRxu7uDpPJkFdeeZkrVy4xGg6RCSwqwf7xMVEUo4QJkjTWMp6MWSyWFMsFSZoxnZ6go4w4HuCahm9+7c/52je+zWyeI3TWy491RJpSCq3D1NCNJet1pJQOymiufQoXso2GM3jhEKr1KVouETi0HlDklrqKWMwt+wdTHu0dsXc440c/9UneuXmf4WQXJxK+9/Z3ieIx02XFsjKtP4QOvgyEyHLV9vvFcoZWkueeeYaH9+70coKB+A4ZYuONLfLlFCUjnPUM0wGVMaRJSt7USCXJBkOkdEibgbPkxZKjo5JhskFVHKNkaI/WNQSYOGQfCSlRKsZ7aOoGJyxKJcwXJ0ihWM4Ns7nE2obG1CRZisdz7/6dVsKuwnrBwd4exlR897vfJlaeg8M9jg4fMhjEXLy4zcULl3nu2efQKmZjssMg2+TdGzdxzpMlKbdu3eBktscLL1zjtdd+lG98/VtopRmOtnj48BHeH/LaJz/N7RvvEsUZQih2NrZxOsEKyyCNwYfMxGwwIE4H3L51g/lkwtULl/njP/4z1L1HRMmAKImQqiHJBHEUE8dZCwB7lAIlK6QocXYJLhCK3iuC8plgtLFJkRcslhYpMza3NjFNRZk7pIoomjmHsyM+/eJnGG8O8SpIoV2+MiYWmuVswfJ4TqCdJXhBNsiovMUIz6OTQ+7vPaJqpjinMU1NlsbsbG+RDhRVtQQkR0dTHj44YnayRIiIk9kxs9kUYyviWKN18IXIsgG7Fy5y//6DANpXVQDggxYdQqg2WCKMQWVZBoA/6fxJJB7PzVs3GI82+emf/lv8o3/0D7n+zDXqqgAszlqqyvVgu7PulCSglGG89d6TxEkPuFtrUVHcenKFzDivNciQgRDHGusEL7zyMp/85Ctga44PD/j93/sd3njzm/wf/0//Z37j136FX/75v0cy3GFTjZBZwf7hlN2L1/i1f/APufPwmC//qz9AqISdnR1mRcHuzhYXL+7w+uuvk6Qpdd3gnQuSl03TjuvBg2owSPs5yFqYjIbMlwvyskBKSVGWRFqjdZAx7EgfpTRShgxB7z3z+QIhYGNjg6IoWCwWpGkaCFxncS150pG53W/hnUPr4P3RzSWdUftwOGA2n/Piiy/y7s2bPQGvdfidi6LAOUNVVdy9e5f79+/jW7mtwWBAloW2382RdVH1v03dNIH4XyNBPPTm7UEmrSVynCVkJCpM0xBHEVrr3qckiiKUlCRxwnA4wjnPxmTy2Bz2cfm4PFU5i0r84J+pV+BBB5JLENIhlENpR6wNkbZEkQm+IIlhlFZspAWTtGRDF2xERZDKasmPEBlt0aLLuWiN01k9BK9ksVavz17ZY2/Fud90kCBdRv2ZL0590MEtIXCnvYA1ZuEx/kAAPkh7xcIwkDD2JTYKMiKND9Gwx3bIkRmyWS+Y5GPGWc68SDFVRFNG1I2mtprahKxk7wTert3Q2ZtaQzfF+R8/Vi9nt/FyRX54sfY7s/bZGkniRZs14hWNkzQ+mOmuMkbWiYE1abOzhIEgqAG0mc5K2N6UuoeyvFjfo5f16CW1zgVLTktvPC2Ysw6ivVc0vms1742TWCexXuG8DZ93Kg3idBv7qwdyT0OEP7jjd2dpf3W//tmKyDhbzhIuqzHtvWuuHyXOMhHvcZnf32/hV6Bq1xbXxiXRhqOvQ62izXZTwrfSWZZYWhJpSFUgR2JhemKwI4JFN+6sAbhOiD6jzZ/Tp1cjFytgSHRvwhjWj4Mfoi28HymyfqbTn/x16AP/8yxPGuq/357+OAl6Th9v+6lDYH3wEgn+IRGFj1i6hNwmzG3CzGYsbdKSImqNWO4IkdMzRD/lihUB3iOeYnUVqz9t3/Nn+oFYJyO6sT30i64bnyZOHi/9fEVLiviVbGLf1/tghhVJ2ur1IIXHtYbsrr+PMxfw0aaJPPle1k7ztBJk579/Mv32Xsd9/9v0q3lddEuT83NznlR+qImRoqnYHm4zngyD/IC3xInm5s0bTCYTNrc3QiS4EEznMwaDjGwQB2P1kyneS0bDMWVdkyZBSsHWFbfv3GO8MSZLEmQkIRLkVc10umBnc4ud3R0OH+yRJRm7V59BOsHNO/f407/4E45mc+rGIIQmHkwwpgEPzglq69voWktdBzA+kYq333mXe/ceBNBY6QBQ4lst61Y72znqxmC9bwHJ8HQRDK8DVaKUQmmFJDyAW2vxa/RpiNpsGVy/RqBAiPhZAxVWALMBIUKib0eMyJXxddi/neDbbBScaAeSkC2glCKJQ7Q8eOLYECcavGVRLai8ZOdCwrIULJY5xyf3uH3nkN3tCS8+f43ReILWligO2QrONTRlw8nyhJ2dbaq8CARJWVJXFZNxxsbmFo/2DkEJ4igBJTBNQ5pEeKKeGHECBsMhTW1prAepUFFMUdbkec6Va9fQg2xtBAgkW6ibkHETxzGf+fSnuHzpAtPpnCjS2MaQjGIUKvijRClJqokTTWMbkmyAUBF4TVlY/p//4/+D+ckUay2f/fwXMM6TxIrx9g7DLGU2m3F89Ij79+/wwrNfRCAYpgPGwwFZmjCbn1A1RWvYnXB0dMRoNCJqddCbOkhrdV4h3vs+MyRE4qd9llEXRTscDtFaBwCrKBiPxywWC7IsYzabBe+SKGZzc5tPfvKT/Mvf+h02tnbw3qIj2RIeCudFkNSSGieCyazVto+YXZfAChlMtm2nsief0jimaq9btNu2RiSniEHZEiCOFcGxToq0HZDQ5Nt23N53R+iFdmtagN+yubnJbDpDyojGe9JswFs3bmO94dlnrpDZmrooEK4miWMcnpee3+HFFy/h/Y8yXxTMFwXT6ZzZbM7+/j7OGY6OjiiXOaZpsMaxXOaoOOPh4RRjLePxmMoq7jw4obz5gK9/O4xrFy9s85Nf/AIvvPgs6XiAMRVRLEicQUArhbaBlDVKR2ymCQjNOzdu8S9/51/z7e+8QZqNmGxukzcGg29/Z4FxwajeOHuq/jrSxPsQCRlkaoIheZD163yNDE1j0TpEXBdlxdZ4A1c3/It/9q/5+tde52//nS9y78EBW9uX8WrAt7/3l1x95hN85+07GB9TV46TRcnh8YzKOqLBEHAM0pS8KNA6jJGLgz0+/5M/QT6f8eDuHbJhRpnnxGlKnheMJ9tk6Yg4riiKCtNYBoMhs9kBm5tbLKmCwbPUOFsjZIQxEXUTcXA4ZXR1jFI1zuYoBc43wfDa1Xin8TbMF94TxmDpELFpJREUOlYYWxNHQR4niqCpHeVyQV0UOB+i7e8sF0ghMVXJH/z+7yEEZIMIpeBrXyv6MWY8HrOzexEhFHlZkyRBUvDo6IjZ/Jg3vnOT7337Blon7Oxe4sL2Nk1puPnuHd741td4+dXX2Ht0zM133+X5F15k59JVojhh384pphXPPXOF8TDhtVdf4tqFLd5+4w2efe5Zbt++xcnJHC8sjx7t4bxFqDCHKBWjlQYcUSyJY5AiGLNfu7LFwcEJFy9uMJ023Ll7l8998Tp//CffZrK5ixQp/+Jf/A5ZmvL5H/8Sly5c5s6dJRvbQza2RqA8Xmrmy5xiuSQWCmEcebGgXhZEUiE87D00qCwh2RgwmiRcH17hYHrCvbv73Du4T5Evcb5ESofzhgu7l8jzir1Hh1gTNGi1lkSRIkokxlXk04JPf+ZTvPzyi8wXCxzBC8yLYOLqTVhcS+WhDTwQwvVzsO09IgyTySb/+B//Y375l36VF154kaoqOTk5Jo51C+I4vJdEWlMVBSBIhmOa1g9NCI+SIQNTrWUsxHGM1JLaghOtFxhhHsc7yrImUhLrHMWiQLiG8fYmP/OzP88Xv/Qlbt96l9//3d/mzTf/e65d3KWsSl566WU+98Uv8cdfeZ1vf+8mO1eeZTAacnQ8Z5kvkEqyvb2Js5ZXXnmJw8NDrl27hrWeg/0jZrMZURRx4eIOSZoilcJYi5KCQRphTMODBydcuXyRprbgDCLTxLEiHSQ9WV8UBVIatNZtNmIgFDr5rMViQdM0gTTQsidyhRCkbebnfDbvt8myrA8G6NY9TdOwXC7RWvPSiy9S1XXwT/JQ1xXWrszST05OEEJQVyEbsqqqYBLfksBlWXLsT4i0xrXrJyklg8GA7e1thBBMT06YTCaIJNxnl6Xpm0DeKCkpW1+VMB93mWmd9FaDjjVRpBlmyYddNn9c/qaXDrH4QT5Hr5MLfSaBx0tAgdAeGRuipCFNa7bTnK00ZxRVJLpp/xlS3YSsENmQtDr6fSYGvo2MXs8CWYNGOvng/nZX4Ej7hPJYJZx9gH4/fqCTGT4bgt2BFz300XEDYo286QF/+jlk/URCBBmwcK9BQmdbLBjImm215IqeshgkLJqEZZOybFKOqwGHxYjjckBVRthK42rVoU/huOsgcP9cI9aDxJ/ECoWvziE9fIfEyrVt10kRdfo7h8C0+vGuJ0VWIMbqdGtSZOdAG16A8g6NRZ8hRbrbOGevx8CVFXDmT4Pf79NHzuHEzs+2OXX2QI7YNnOm+6e8Q/su6K4DgP7d5DL8QEvbBVbNwrdR3T1M2X9+CkD1q++6HtOpJz8Gsnr63uTPfH72s+/rVr7PcXOdYxAtg3PqcGcaT9f21ZqvSCJMnzGSCBPeC0uE7ceLHpAOcMxqnGE1Nj1p7Dpd/IpgOV2z/f8ftDrO3/69f6H16/+4/GDL+5Ei54+pq++e+iy+a6OddJakRpO7mKVPWLqUuUmZu2RNMkvTtJkh1gdi2a1lR67PG6sRRdD7TKwRIad63hpGJLosklPZI10A7unjr93N+95ud7RAknRqJ+vXsDrnqoTMkgB3BQnzbpp1HYHqRXv5P+hF3UfAvbwvKdJ99/3fRxcMw1rGzdOWH2piZNwCv4v5nCRJgk6098g4QkaabDjEOUee54zG494QsylLoihC6wQnQEYxCMG9+w/Y3N7iypXLZFnKfD5tpW8gVZpUKSgbrCsZqASzrPmL3/u3TOc5RWM4WSwhSsFHNA6KugxGzC3J0TQ2GKeLID0BkkeP9rl37wG1MVgboqAaY3B21Ti66HVjTavtD50Elm3NgIUUCClx3tO0AIIxBoHs919NL2cj7Fvgk448caei6gVhEdcDpW10ZmNMyF6RAiUCSYAXSKmAkH2iIg1C0DhHYywWS2w94bHegbeMnEboAYYgj9Y4x8FJzuHxjLsPHnFxd8Lzz19BKENTFozSjCSbIHWKMY4syXA+eGU4rVnMZkgpGY5SKhM+T9MRdVGQxDFSK+qmQbV1OhyNkFLz8NEj6rpBINja2eXlT7xCMhj19SRQCBHux7kgWeZs+H1GozE/8cWf4jd/8ze5euUKBwdHTKdTBIo4kgiVUFYFUaURWhMZwSDdIF+WPHPtRX7pF/8+N2/c4M033+T+/Xu88uqrHB9MURd22Nocs5jv8+qrL/Pqq6/QNCVSKGazZSChRIPHIIVqwRrNc889h3OOhw8fkiQJuo1GTlppkaqqAnCd5zTLhsnGmDzPqaqK3d3dHtjZ3NygriuqquojWGezGVprBkoilSZfLnjh2Wd47dWXeePNd0hijS0M1hi8l6HOFCvirG1HXVZLkiQoKcGDMbZvd530FUAcxwghKNqI7fUMj7PeIn5NNqvbdj2Lqvu8I0G6tt5l/3TbqkgjtWa5WLC9sx38gZyjqAxxlHD37j7LxYLNccYgjbh4cRfvDCcnR9RVQxRHRFHK1kRxYXsHpa/0E6tSbfaMEJyczFjMFnzzW9/jm9+5yZVnX+LRoz3myyWxkBjjSQZbAJQVPNib8f/7l7/LM9evcPniRSbjIaMsJo01iQ4SLoPBgDjZpDKGt964wR//6Z9x+/Z98qrhwuXnsR5q43E+AHsG09fTer33S+g28qjzrekjutr6BoEMRiNIJEpLrDVkaYYxDls7bGPZ3r5EvmxYLg1bu9f5yl+8zvUXP8G9+1PmhUFGA46PZizyirqxbGxtouKEoixYzGdkgwFSwHw+55Of/hRVkfOtv/wqKolomhqpFFk2wItwD3fv3GFzY5dcF8xnC7a2t0jTlPlsRpalzE6WgSBzHucEZelAxkgG5LlgONigrCx1syCOQEkomwZvPd4pGitCdgCexXJJsZxz5dI18jxnc2OCdQbnHY0JRKHEUdUVWTog0hrjPEUewPBYacYbE+q6Ii+WpEmMknGQAjKCBw+PuH3nEdYLEBIpQp+2xoKAjY0J77x5n2wwoCy/HvwWgJ3tXWaLBX/+lT9mMBhQVzV3br9Blo6YLQp0LIliyTf/omKQxqSRRLogkfb1v/w677z9Ds4TyGfrwhwkA8qhZITUEd4H8+xBFjEaxWjleefdu6SxQrx5n/l0RlmVPDz+Cnv7JWU953/4f/9/ebS3RxonfPvbt4j1iCJ3mEbwzt0bFGYJskZKj60LpPOkKsJVhioPPkZSShAKg6USjsLW1M6RTIZEIkU5jRISY0vSNKIoCmbTd4h0gtYJuu2HVV3SGIeOJOPxkE9/5kfZ2dniwYNH1GVFFGkkkiRJgoF2u3D21uNb14mQsekYRCG7bTwe8Z/+p/8Jn/3M59jd2eXw8JiT6XHwddKBdBUq1GtHRHbjbjDpDoRYWYYMKClkn/XZbWuMQapwXcEnLPRTpTSR8EyGKffuHlHM5myMBywXOd4LDqdLnnn+Vf7X/+FzvPmdb3D35k0ODuYcTL9FJQZ87fVvcePmAz6ZjNjZ3eXNd24x2Tpic2sTHUU8Othnd2eHzc1NvBfEScYrL7/KeDzh1q1brVF4QZLoPouirCqyJGE8HvPg/iNOXpxxaXcT70ErjbNgbfAmCnNDkPvsyJIoiqjrmu2tbYZpxmKxwLng+bNOjISMtwiBCMEPrcRiHMfYuumPd/nyZU6mU+7fv8/u7i5KKYSQNI0hyzIgECBxHIcxNcuoqgrTZoJ47/p1VlmW5HlOXjSnMlKPjg558OBB32601mSDAVoryrI7dsiqGWQp3juqqgnSl0qhIx189NrM26ooEVKxXOZPsUL+uHxcHi8rCYjug3PA3Pc8wJn3fv3lKQS0/ecR2iOUQ2uHjgxRZEiyhjitGQ1KLqQLLqQLNqIiRELL5jFjdNnJJLVnOkUsnHuNZ8DT/u9KwkY89u3qpWCFU5wHFonufs+tlPXHe9FvG7CP0+fv7sOfuYzVeXzIhhAO7Q0DWbOhJE0cskhylzB3KTObcVCNyPKSJB+xLFLqIqapIhqjMFZhrcRbgbNyDeESPTHzNBGgPW7dKR+xIj1W2SGc+v0RBO+YNrtknRwIGRTd77IikLpaFKwk0M7W7IpA8r2PzPov0R3vSSa750WvrkC0J9z4e1Bn5zS7x4pvr8O1xFDjJNoptHA473oJ6h5A/8hg/X9X5XT9nKqTluyQLTnS/ZKnCJHHjrYukdVlhDxeK773FHh8//crTwfDdZjJaqcPC9893k78Y993knCBFLG9r0jvLSJsMFwXBi1Ma7reXWNQVgCQ60OUX/UF2dX+meYcfp92vGp3EuvHWDvYRw7DPqFOPyZG/nqUnnDr3nC25a7A/vVtT4/eYbx3BFIj+GsF+azKa3LfzmcmY27DvFbaqJfNsn4lu9X1+RVWSt/G8T4okKxjmWJ1Df1g1L3uJ4Ouk6xnj7R7tdv4dVLzQzTMbq7t57nOV3d9IdZ9RhgLpOjwq/YYne5ef6zzVik/2PJ9ESXn9PX3zuT8AIdeW4OuXv4NIUY6LWmJoCkDeDubBfCssZbSBFmHyhp2NzdYzGYoFDodYn2AM+q6QscJeVWysbtJU1c0lSaVQF5wcPc+k8EAhaBYFizKmmMh2Xu0z6O9IxAKKyNUOkDKmNpAZRyNC4SBxGNMiHJsab82ItFQ1Q03bt6kKOoQjb/MWeRBZ9w738s+QWey7gLgJxXei54UQYTBoWoM3lqcNb2khPOmBTW7Dt0RF2IFCnfGcN720Y5h2zUG1XejzUpmyDmH8zZE7ajO+4FwfL8iD6IoDtIYgBeSxjpMEcgpgUCqGKFijKlbsNCiI413DbO8pHx4yKPjY+JY8okXn2cj2WglyWA8GlKqOUp6wGFMznA0oG4qYhVcWqytqWsHzgfZqSzFWIdUGmMcRVkTR4K8KBmNxly8dIXN7W10FNGu9kFEYRjsPVc6DXiFc5AmCZ/+9Kf4/d//fZqmYTgY8PDBMaPBCK2DXn1dG0zjGMQJxwcLnNe89da7VFVDUSx59pkXuXjhIr/3+79NMT9mkCiO9u7ywrVdnnvtJT75yWfZGEdUZY5vFE1tmc4WzOb7GDNnMNpACEGeB9AkyzLiKAr9Yw3A6YgE2xqvC7mmg56mvb56MGM/IoqCFEmI4g1RsCH61lDVNdZ5imLBT3zxC7z19jsIpbC2wFuP802vf2+txUuLcqol7QRd2HzwGpE4F65NSUnUtinnXCCTooi6BaXWS090dG21JTxWk1gX0b0+ga48d1wrtxJ8TTxKtVJwSiGkRbfa8aLLBdAZlSmZ5wuct9RVyWSU4J1FS89wOOD48AFYhfIukBDFAtEC2cYYkBBFCQgZ0qMjwfbuFl/8qYvsXnqOt95+h6989WuBLI1SqsZijcE0DcNBhpSer3/je0T6DZSUuDb7JsuyljwQIeOkqnjjrbcRUjPZuIQ0ltK49kGUkP3kGqzpPFsUWkV9lojoVsq+XSq7sC+y1UIO5kR4odrxTeJtTVXkRFGM8R6pBCrWXLl6lVc+8Rp3776LJ+arX32dyc6zHB0XvHvnIToZMz2eM18WFFXNZGuT8XiEdY40GVMPIubLBcvFnPFwRBxp3vjed4izlOEwpS4KvBRsbEzY2tll/+CQsjJMRpbhYEBRLimWOVsbm9y8dZMLu0MQQRZLITCNJ0yJGiFgOl2QJik6GtHUJQhHXpWAxDQBuJYqJcsGzBdznDNcvXaVCzvbKHap6orj6QKtNWmSMK9rTBOi+PGOYpkzmy+CgbN1RErzyU9+kqquefjwIXjH8fEJhwdHvPKJT3DlmQtMT6Z4IagbgxSapjFURYO1nsXCo9QEa0MESRRBpCWHR/tsbEzwOObzfZIkpjFL7LzEGg9eYxtBYxrquggZB9YhBbz77l3G43FYsVQlHrBCIJQOi1JfBOkmF7Ib/WGDsxWjYUZZ5EHOqTHBpD1OuHH3beIkpqyXFOWSOI0pywohLN4twCukjqkbQ5REwa9CSFwTvH+cFyHTbhzRuOCrpdqsCBlpJpGirCq8AC0UOBf6tdAYY5FS0TQGpcA2Nc7BYJAx2dhia3vCxUs7RLHGecnh0QlaKuIkI2R1CIqqbglVeqTFe48ToCUoAdYESakrV65w8eIudVnx8OFDbCuRZazBe0cUqfCAKmWb5RG8SDpiBAggvHVhzieMVQHAh6apEUoSSRn8uPA4PNa2WarGUZU13kKRlwySmFgLZBRx/ZkXEFJwuP+IVz/1OX78Cz+J8JbDg0OKquHVVyHKtkiyjNe/9RaD0YRHB4c4II40OlLUTUWel2EtMlsgxTGLxSJkzbSG4s6F9Y+MYzyevCwZ6gFFVZAvc9zOJlrHGOep8hzvHcrLVn4qjHeNNYDrJbnKsqAqS2jrzjnXkx3e+95/pcss886dGvOlDBkm481NxpMJhwcHXLx4MayjvCfLQkaHUkHCMYoiyrJkNp+jpCBJEtI07efapM0A6YJw6rrufU06OTTXtsNOgjKOA+FZVxXLxaN2naSJkyATGLXZi51E2nAyJsuyXiawyJcfcLX8cfm4hHIqHm8dLDvvufEsFvwk1OrMe98C4V6CjBwqNcRpwyQt2EmXbKQFWVSTxjWprhnqmqGqSFUA+HRLinTESAe1rBMZ66BED4B36zvvewDw6UpPXaydIRxnBayvtlmXylovHdcgaD0s4YnbPla6NdljYPsKXpJtNKvEIb1HygCGamHJZM1IlOzoOfMsJW8S8iZhWSecVAOOqwHzKqWpNHWpcUaGIDfnVzIea9zDk663x5LEaSLEyxVB0t/GKVIk/JWyBXfWGqEXj8utdECGZOXX0n3eX6YA5T1edO3kcYB5ddVnVN3X3qwwpfPJtvNJsdVxn6asy7l4Ed7bzmvEBT9D14KG8ukO+dewrFrwufXT9ckWhxRrm6wkaVZHWrX87vUqavtUXz0F0p6m0N6vdNf6/lV+Op/s+80eWZU1Ka21z4KvSMga6+SzYmlIREMiLFGbKdLJZ60fLaAh3TUHI3bRtat20yCr5frxTLKS9XJr41c4Ztt/fHfjTwsyvj9Yu+rXH5f3K09LEH2QX+iDl25WWz9PR152be80IdK/9uG7MM5JLIEcrr2mRvXyWQubsrBpkM6yujVWlz0p4r1Ymy/PLyFGzJ9q87TXIdrBxgsR1go9/dGzDt2kTy99tXbvH4VqVU+OEOZR4dd7f0sOtAuzPohCeoTrsjt9d5MtOfKRDUj/Tsq5V/oRcjtCtMsR8cEJnB9qYkQgqMqaONI465FaMh5PyJsq1ERLjCRp2ktRORybGxtsDYYc7h/gywaJYjNNOZ5O2RkPMXlBMZ0xRhKXjpN3b2Aax3S+ZJbn5MZgtUaNRoh0gHVQCkFtHJUzWC+wzuMaD8IFM00fDEwhMJ1VnXNwcERZN+goYjqb9cbpjbGrqC4fDFWd83gZOqSzwWxOqQDeGueoW+BbIlBrUled2TotaQGdSbXsj++9xXrXSnK1A8b6QLJGlHSdr2cnvcdjWxKHFZAtJN6B0gLnHa6VFJNShuwW67HGo5RAagW4oDusPd56TJvBInRC5Rx16bDLitnr73Bh65ArF3fJ0ghEgxIR1jStHnfQ7o61QAlBlCYslwuEFwFIdAGsUUqjkwQHlHWDUBEeyXhjk63dCwFkcR6kREgdQHHvwQePCITC2iBjJlAcH0+5ffsOQiiWiyJIZkhBURZMpyeMJhnDwYDZbMHhwYyyNLz5xjvsXryMNw11VXB8vM/9e7eZHR0yO5hw6eJFPvuZH+EX/t5P0dRLXF1RlyaAuB6qqsaTEKcZg0gRJwOyrAVLq5IkiYM8kjUkSYjCrdsIWK1kX2c60iA4BeYADAYDpBTk+RLn3CkwKI7jFmBSDOIEYz2NMXz+xz/LV776OlkSY5ogJWOFRFiFFwLja4QUSAlRa7runG0HL9V/tg5idUCgEJIojrDGBDk571t9f1AyZC6EfYJkW5f51H12NtMEAljWeZh0IFt3XglEWiEFOFMjiHBO0AiLUjHZYIO6qZktKqxzGOu5uLOJRzEcbuKamkQPAIFXYWlpnSGWEp3EeCSNcaTpgOk0Z7ko+PZbbxG9e49bN+8QJxlJMmR6MidJBpSuIMkiiqomyyKiOCWOVAATY4VUinlVc7I8wjpLc+deGP9GG+go4mi+BBH8jUTrQ0Ary9Pp3XekWSdZ09XLqQyy/mnG9w94CImzYUl95cp1Xn7xeQ4O9nhw/x7Hh0dcv/4Mn/rMqxweHzIabVLbgtF4G0/Md9/4NkKOKErDIi9Z5gU6itiYTPDegrMgBZFWKDwb4yGXLl7i9s0b1FWQubJ1zXg0pGkM8+mU8dYOSTrAmJyiKBiNhmRpyvHJERubI+JYkRcLoghME7winHegonaMdTRGM194JhsDkmSMsycUZUEcxXgvgzSfztA6oq4rxpMJzz/3HN568sWCw8ODkJmlFUIGqUEpJFJqZtMZeV6ymC9ayRzBoq6xAja2djg4PEJKxeZWxN6DA6oGdnevoKMhURyH31EpZtMFt969idChzQsFOpIgBM5brPNsbu4E/xckw+GI5XKB1nEYu6Qmb83td3Yv4tqMBWcskdI4Y4h1xHK5DL4/UhDrliTzYD1IqRFCImWA5oUPniyb4x20jnCNRcoIKRUD69A6kDZpkzPIEprakKQpAoloAWHrPWmSUFY1kdAoC0prdBzhZFjpCCVbgjEK4LfzxK1koxKhXyzncxaLGToKEkQhqyNkBigVtYSoIIolQjg8JmSVWg/INoJT4Ww7xrRgv/fQTqE9oOS8D0CaFEFO0RrqOnhVRDpCqSBrOBhkWGvwWKQQWNugpO77X+dJIYRguVwySIchM6gF/621q7FLyLCG9y4EYnhojKOxhkEaPDOSOAUETVWzOd6iqksq6xgMRow3N8kXU/RgyO7WFjsXriCU5uXXSv7pf/9/5/f+zR+QDDb4xI/8GEfHJ+zt7zMeDcgGKcaUzOdzrPVYF+RCnfcMhkOECPNTVVekWdwSFhVpkgCCZZ5zPJtyubnIQCRhPG+X/+ueUaaVs+oiotI0ZZnnmKrufUNcm22jlAJWHmemMXhniaK4X/d0pEnItFFcvXaVhw8ekOfLMNcj+uyOKIpaWa6QxeKsBRGydJZ53pJT4frqpiaJA2GSZdmpe/DekyRJn+HS+dAkSRIyMYsSY0ImpjEhoMWIIP3Z/eZlU7dz75LxaERVN++/QP64fFzeq/Q6zOL8h9H1j5/0YLnOpnRAuPRI5dGRRUWOOGlIBhVZVrEzWHI5m7GTLBmomkQ2xML2EdFyTRari/6X7xM9KB571cJ4TwBO1m/l1PePPT0HwETie5zk9NnWCI/uXGJl7roiUNZjTrv/OsBjdR1n6ZD16xC0EqaCHsoMhwjgaSQsqW8YqYqtWFE7TeFichczNyn75YisHHNcDCiKhDKOaRpN02isUTgrgh+J64il80maU7XTy2itESJdeLpY+yd9S4y49l8gdCRtlkq7hvQ9O7ceZ9wRQ/SvV3UvWgLHt6fvfs01Ma61P37t/dla9u1NC9YA+/Xfxnetqv3uHCD/aUsAENczRhTaOWInsVKihGuJg9Oq+T9s5TQ5svoMRIv3dXHbYm3bJ2BjfWDnaRphfbt1MPiD5TJ8kDo+1WK+z+Ov2tPpNhfav2oN10OmiCVuZbNiaYhbA/Z1T5HVf6uW6toRjJYc6ceO9jyupUPovltjk1deButQ+Ho9rI9/oUOc3eK962ntlxSPdc0faFlvaz+U5Zz6Ws0tH76ct/u5h/SniUva18FuWPSv14nMbjTrMkVsK59lkdQoKh9R+pjCxSxtQuFWJuuNUyuhOP84if6k0vct0Y0d7bW2DXeN/+jJhj644lTj79byT0Lu3+9azt9nnRw5xbT2DdS3c8FqKg1m7GH/PuvEr1/wD285s8T6kGW1bljN/+uzw/uXH2pixFqPEpq6CrI92XCA1JJBHLG1u8uDh/fxNgAmtjZIKRA6ojQN/nhK6gWbgw2asqRZTNmSUD84ZH58RHFwhD1ZYI9nVLMli9xQeoEYZiQXtnGjIQsJy6qklhJkjBWS2lra52ecdW1bdTRNyOIQSlM3Nfv7B8xmi5AJYpv2b8jYcF70RucdGeHan1oAUkkQsgdyy7LqTU9pzax702S/LiUkAmHh3ak+5HzrLUIgRgIBsCJOurJ6Lfrol27AcN72i5dAcojWdN62fVYikEEizIboBIlFRjJ4jwiHVA5jG6Rcpcs6JHgZzidjSuu4u3fC8TwnS2KuXNzm4s4GWaQYZhn4mqYpQ8S79ZimpKlC/SaJZrKxySJfIpUgEhIVxyznS3Z2R1y+/izD4Qi6OpIKIYIsWFi402aIrAbO6fGUb33zO3zjG9/k937v9yjLkueefxZrHVEcUZsa6wNxdOvmbaYnU55/7kWev/4s25MN7ty9x9HBPioCax1CGrbGIy5tbfIPfuVn+cQrL5GqBmNKpLBIJxgMBixag9qqMqgIlI7Aw3wxI1IRAk9TV2RZSlEUVHUrxyFgenLcZxdoLWlMQxTHZFnWG29Pp9NWniSAjU3TMBgMes32xgTD3SgOUh9JkqEk/MgnX+PNN95h//AErQSNCeC7NQYRdRJrq0yEIJliiKJAiCACodVJNiVJ3BtqS6Xa7Vy/JBMi+JcI6LOdlAp9pesDUoq1jKYV6XKWJOlkbDqQLYokqSJI1DnZtguNWZOzUSIOXghC4UTMbGnQOmWQblPbJdKnOGsRPrRtHUXBONhLVJyQZWNOpguK0vL2O7e4e/cBVu6HtmscxoTlpzF1kKoSBJLLBVDV2OAB5KxhkCY0ZdECswlCBWNo2xKTMpJBKk4ItApgpRQh26t/nG/Hoa5+1vt/L1kmBWCD/JkKhIhsI/K9gzIvmU9nmKakyGcI2fCZH3uVo+kjrly8hvQJ89kJWg347lvvkg03WJawWOR4BMPhKMjK2AaPQ8mQqbJcLlBSsLW5wf37dzk6OiBLYpq65OKly2xsbGKtY+/gmOl0ysbWLovFkqqu2FAjhlnKybwkz5dsbU149GiPyWST3FYIfIiC90G+R+kU4T3LZU4UCcbjIY0vkbIJEmi+Je1kADCVlLz6iU9wfHzM1ctXOdzf702koxYQN01FXpbM50tcK5astaZpLEmaQmE4ODxmZ/sSOk6ZHk8ZjiaoOOXOnfu88PKreKFpXGjrGMvDvX2qdszUKhALTUskBQJAYJxER4NAHnhH3RSk2YiqaqgaQ+MgjVK2Ll1jOJ6ErL8WcHfGksYJ9+7fJU4SxpMRsl/+ttlzQgYJp3ZMDP0blAhjt0AihUaKQG5p6fG+ZHNzyG/8g18leBIF8FpHwfOnbCXzkihBGkXsJVpL0AonJSgVUjREWAYpBFoqtBAoHyT1jGl4dPCI737vO3z961/n8PCQLMsYZKMw1gqB9xZjG8oyZAT1cXYieE0IpegyJZ09bVjpnD8lCWtdeBwIfdf2G8o2XM9Z1/et0NmCHKWUopXMKldzsnMoKUnb7ISqqqjrujccB9BKEUcR3nkaa/BOtH1bI4WkKEp2t8Y0cUyR5xw9ekCkBMNRxmRjxLu3b3Hl8iVGGxmuMSzKEls34Guy4YRf+we/wZ/8xetUjWGxzJE6wrgg9Tnf20dqFbzMHIAkL+r2fnQgMVWQpSqrum2fisaELENnDIeHRyzynOEwRWuQ7Rqny6rz3qNVIMPKsqBpmjBHSYlvySMpJXEck6SBJOkybZxz1E0d2qGSvRG7McEnqKpKpoeHDAYZo9GQhw8f8sxzzwbD9Tb7TitFEsf9taRZinW2J4uttSht2szZlbzZOqHsnOuzRobDIcaYIG2pNUopRqMR3gTPuJPZtJfq6opq5zwhRJs94knTj/1FPi7fZ1k3yV7pF/TPjmc8q88pq/17wFl4iBxEnjht2BgUbA1yxmnBOC4ZxgWjqGIUVQxUTSRsbxgcpJBWpMgKVBPts885t8BKgurxLZ4MKZ+/fVclfu3Ldl3Zbd/fcoeqhPdhNdtCRP798Ik1isSL3lD1PQmI9jt7ChSif92RSErYHhBQcmXknoqGgazZiZcsBwl5E1PUMdMq47gacFIOqCtNU2lMo4IpgadtBE+oxW4KOyWddea1XL0WyiO0R+kgp6akR8sVEXa2hlZkyHniSI/XT4jxWQfk1r5dM999UlknXM671VVGleh/+g+NQXZR1W3GSCMU2lmMV1hvWoLInaqD01fz17mcBszPBW/XeqCAdj0pT0H2T1O67nqWdll9+zRH+0ETT2fa1RlAuwNuu227cS/059CHI9GSItK0BEkgSxSnibMV9NeOC11QICtaRD5+aef/SD1I6x+r1dP7dONR6GNhPBPn9qOzJ3nfKeYHVNZv+2lbyV+XcgovfwI58mFbtD/z97zjnpp/TsHNpzNEOlKkk8ri1Gey9ZhqSRHfkiIuonIRtdMYrzBOrjyo1rPtWLXNc2f+U4Pz6RzED1POHu/scd6/vrsaOvtJh2GtlmCnPmPVDbvpFNHisGK17vB+ZTT/wSzG/2dcxKpVCrEKwHja8kNNjEQ6aYd7QZZmKK3wWpKmMScnR5T5kkGSMoxTbF4QW89kMiZfLLGLAl9UNFYw29vnaP+AoliwXCzJFwuK2QLVOMZxhrWeufVkuxdId7YpY8HCewopyZ3HCoUzITOkbgymbNqIVfA4nHCtgbrH1hXz+ZzjoynG2Ta6vZWlsqvsDuM7GS3RP3j0Q4MXOGepqhprbIhqpW0L3T79iOXbh/OOZWynsb4nBtCxA5tXn1s6cuJsV/O+82toT9rJ6uBaQsWBDd9533ldh8VP2CkYxGugsZ66zNE6GBgrKTDWtobYAu8k1q84wMD9KPLGsyyXzBY5j/YPuLSzyYXdTa5e3GG+LAFDlkToSDOSipPZlEE2xDhPHCWt3FJ4pLh46QqXrl5HqmhFHKEQyPb+O9CvA9ShqQ2vv/4tfu/3fp9vf+t73L17j6qq2N7eZm9vnyRNkFIjI83B0RGHh4cUy5xP/+iPcnFnk1h5/sHf/3kq1/Df/dP/ju++/QZbF3bYvrjDb/zyr/GFz/wISdowm+4xzHbZ3hwGMFU0LOdzpExI0wSpYqbzPQ4PT7iwe6GNTNaINvPD2iDrIhBUdcmoNVTf29sLYE+agqcHctazA9I0DZHNLUBeVdWKOJCKKInBObwOsieDNCXNRvzIa5/g9//wT9FKUNUWJUOUrZAKJTuCIoBUSkms1S1I36YLilWqYhcd3UnIdHIq3gdpHdtG/naZHqFdhiW2ErLN6OlmthDJLmVHigTCLmjZ+/67LhMmjhRpHOA6YyW+NZJ3LvTRSIco9PEkA2dIsxGNqTk+KUm3xzR2iS9q4jjCe0dVlsTRiDiKmE6nbG7vIIXEOdg/POHg6Jg4TqktAdgWnvn8JEQ8q6jPjgkDy9n4OMFyMQcXMudsE/xQlFRtNLYnUhKhQ/0rXNCg9SGTweNXxvNtXQYfJt3XfwfIQoiKl50GZ5uFEhb0sJjP+e53vo33JfP5MT/3Cz8PwnLj3bd4/rlX2HuwwBJzeHyMdYqiMJxMC4wBnGc0GiIlVGURsh8IEdneWnZ3d9l7+JCDowOSOKauCq5ducTGxoSmrhhvbDKuDO/evsvWzkV0HNFUFcsyJx2myKWgLEuef/5Z7t69CzjiWNLUFhUpREvuCBGhI4WtDQf7BxgDk/GAk8P7RLFkmI2CL8BwgPOWOI6YTCa88/ZbnBxNcdaRZoOQKWgCeX10dEhV18EzJo4RUoa+IWxo084zny8RUjOebHF4eIJ1HhknLE5mLIuC0WgSovONxXpY5AUyUigV2r3zJlx/2+IjrTAOvAFnPUVeYozCOQ3C0tQ5TmriKGY6naKiGKXj0H+kCrOF1DROMB4MUVEa2pzvItFkII/bbMbTsnYdqQ14iVQCoTxVXaBlTByPeeGF1yirPBDr0pENQobfptogywY0ZYOrHREt0CzCPOHahY4X4N1ayqxv6f22H1y5cpkLFy/w2R/7HF//+tf50z/9U27ceJeNjQ2GwwFSdZlSIausk39UUuOsC3KAa5lorvVtWa1juyXu2lJXCKQIMkh13fT9thvLjDE0TY3WiihSsEZAdn9VO852fhtChEwG5xzDwWAlE9USPJHSuFNhdyHLwTSGNMm4e+cef/h7/4q/+zNf4hd/6ecp8gWLxTHLfNBKNymqpkHJQJLOF3Mirfn1X/t1fvO3f49bt+9SGcdkmCK1pqobIiFYFiXGeuI4wTrbEn7BTN63pJlpDI1uzeWrqpenms4WTE9mjMcDBmkUZL5aM/PgqdGgWv83IaAsq953ReuOBA+yXcaYnlDoMm661109eu9JongVbOJDFuTly5f5xje+wTPPPctoOKKpG5IkSJrN57NWWlKHdZkx/TwT5LYUo9EArYPnj3MepXUv37UKXgnSoZ00VkeWRFGEFLIn5ZVqZTfbQJfpdMpQDBgMBj0plqUJRVXxcfm4fKjSPSSeeVDsCY7u7zr4/dgxwpO6EEEaSakQ2BQlDToxjLKSndGCC4MFG0nBWJUMdUUiDVpYNB0o3j679NH6K1D8NMjz+FNtN+I+DlKf/uS85+Hzok273I6zsMcqrn193+7BW6xtc4r2eOz8j+eHdOTIkyGb00ddB57W13/t70CYDHVbh10mSSINA1WzFeVUTlO22STH9YBxMWJQlhRlQlHGlHWMWfcjaT1AzkFE27fnESOrv0LQy2d1pIhWNvxryZuzeuKrJuhZ9xph7fOzv1/XajqJls7Q/fQx3xsGXQep18mtUzjxucf4IGDUqr0EKa0QrBjktIKZsBVt1sjasVct7q8HlPskTH390/5XWtvovbJsxBPurYv0Xt+vhTZOAbPfb3n6mv2g4GN7heL0Z323Wfu0G/t6s/XOR0TaFZFMR4qcHlt8K4m+8gYJp+7I1xXFuBo5BSFLpJOdOf3LPj5KisferTCqzkMJ8X51ubr3bqO/iha9Dq+vl7/63vXe5Sw50n34UZMi658FaPE0KbIqZ2WzWiJk7ZpWhLVspbRka7iusF5hvKLxwUOk8YrGS0znQbKGwbWnW1usnE/Brc8p5/3G71dWo3Q7lonz54BubniyWOba6CTWekw/Dob9ziVH2n3Ws0I6fIz2zqUPWWE9e/LXvvX+uyhra0mxGlM/SPmhJka6qLsgl5WwyBdYHHkZiIOt8ZhUKihqhiJkJkzfvcfs4ABfNxw/fMh875BqvqBe5pRFwWg4JI4ztrYvonTE4dExU1MxePYZ7GTCVCnmtmFRV1QmgEaeED2aqBjlCT4IBGkq6x2mJxI8s+mC4+Pjx6KyA3nByiSatYGpXQV0Ph/OmdbjIXSJAKLIVZ9d27nz/ejJkjNDYAdSn8c0rqa9xweWlT8JgQChy1BpCRDc2uswIOJcq+nXeqUISVUVPLh/l1c+8QzDYRIelmwYAaQQbcYGQVqrH2hFkHBRMaVt2D9Zssgrbj94xMmz19naHLE52UBLz/HRAcI7tjYvUJQVKo5DrLNUCBVx7fIlsuG4B3HC4BX8EgTBIFxI2t/KtTrxmu9897v803/6f+XWrTsIAgn2Mz/zt/HecXR8QFUHv5vZQR7AHKm4dOECl3Z3mJ0csjjZ58/+rOJzX/wiX/zSF7nx8D65j5ikm1x75lUGyRZbO544ahiPM5azgsUsJ8nUynA3GqCihGURk2SbSBGM3jtT83VZrDiKsG17k1IymUwoiiJEsGYpJycnZFnGcDhcZYU0DVmWAr7PSBJCUBQF3nuiaNhH8WbZgHfevc1wWPOZT32a737vbY5P5uRFjbUNQiU4Z3FNtcr68A7nVtcqoqgHkrSO+jbfm+/GcQ/QWxsyJhrrEFqcapfOuSCn08pyAW0k1ipbpNs2EABhGOyIoZAx0pFE7bFdGyUvgrSDkAF0Hg4zNjc2qKsaITRVWZM3BfVixsXtEVESZMuqMkg9TTZGbKox5e1AMjnvidOMsjJIlYAw4IOZtnOBgIiTGGtsS0ielmqQQvaZI0qECPOqqohUBJI2e8yjECGTRii8aCWdvMc4j3HhfN29SympqmrNz2AlawZgXZD6C75HwSvGtcRWFGtiHbIFimXO888+y2c/82nuP3zElSvXODyaU9aS2bLheFYyXVTklacoKuI4I011IEdNRRxHDIYpR0cH1E3DZLJJXVWcnBxhmwZbLLl06SLXLl9mf3+P4XCIdQYdSZI0ZrlccmH3AnuPHlFVFaPREISgKEq0jtne3mY+n7Ex2cC1fUXKIA9lnEUKjZAZzqQcPnrE89df4Vd/6Rf48pf/OVW+pKoq0ixBRxFCOR7cf0jdGOpqhhKSwWCEtZbpdMp8tqAoS+IoRsmONKAFQwOBh4NHjw4o8oIkDlHlSRJz4cIu+ckJN2/e4JOf/DSNsSgdc3J0TN00JKkK45YUYYz1DttGqgupWp3ikFVWVNMgCwQ4Y8AbRlmGkpZyOWMZR1y8eBVrPNI7hBIoCc4alGy9gYQMY2QrSSV8m3EkRD8PKBEkHenJE0HjHChJlA0xVc5i2dA0EiETrCnQUjOdLVAqZDbZZkEcxSHjSRik77SrfOiPQiAFhMwV6EOoRAuSeI+zBolkMtngF37hF/l7f+9n+fM//ypf+cqfc+PddxiPBownE4ypcNajdUJVV3jRhGwFqTHerBGD5zwaeh/Sm53HtnOe1lFP8AbPLfqxt+tnYbrsgibq3vtCrgHnaZr2ElCdwXogXGq01sRat9GyHmODxKCUAnBEUUSeL9gcDnjlpZd5/S+/wh/8wR/yiVdfYfvKFrs7WygBJ0fHRDpiNBzjXU2sY5SMcM7xa7/+6zw4nPIHf/xVRpNt4iQlijU6TlkWBWVl0DrCe0GSZMRxt4Zpo3RFgLG6sda5cP1pmrDMc6bzOReqLZR0CDRaCbw1IRsN8NZinGc0GgcZreWSpq7//+z9V6wtWZ7mh/3WWmG3O+7a9K7SVFV2dbWvdsMePzQgIUEiBiQlDkcA+SbwSS+CoCe+CBJFgBQkDSEBBAXQgAQHzSGHnOme9t3VXd1dXSa9vXnz+mP22SZ2xHJ6WCtix97nnJs3s7Kmu2ZyAfeec/YOsyJixTLf9/9/H1abrm9a1auN/knrIDPVmrW3REeWZYEAquuuPicnJ+zv7yOl5Pbt23zly1/h5Piky9BYrVYdSRyGAUdVVRwcHAQvuDi+DIcjtDZxXExp6oYqen21ZEebDdInoNvn2Pa1o9GI4XDIqq47z682A7jNLEK0sqxflC/Kpy9e9nox0f/Zg822ULszptrSI5TDK0+ea8pMM8gaJkXFTr5kp6gYZxXjrKZUDVmUgFl7h6xBU9H7vV/6NMKF13Ih7CG6/x8NLuiDC+cVsbVt/+hbR/L0km/WYlq9EKuNVZiI28sLrrS/z1lQavsa4uMRQWq29ShIhMV6SSY1hVcMXcNI1uwncx4vc+a6YN4UnDYlp3X4udRZMG03MUv+4tvcI0J8nIu0YHCYK0vpSRJDmjjSxJIpRyKjfNoFV7M+xXYGSbjWbUDcE7IwjAuEg2s9MWnzQNf36OzdPXtJ/b8f1irOtq+HQ63dmtqLDvgLXiMBKDTeonzInO+gv17TfHhU8A8bGIsCcn4T2L6otO2bh2zbjzzf3mQDcO354KxbwcPv/KOUT6jeuUf/1He522ErU6LX77bPWgpPIjZ9RdIus84hI5kotrw+wpx3+7kEzMhD9JGNxuqi7VFEt41j7W3zKBkf53/y6WDoP28Y97w39dHbw59f8Wd++cGPtU2KbBAjnyBftdkSz8ELWRPXfcmtliSxUVbQBh2ZLkukR6Gt8T8vuu826yS2ztZrk5/5PrVHEB050ic0ztt2u/RJkfbv8451lhxpzxw/aZe3PgRBBHvXlt4M7/Ca+vyL3Hr/aZR+n0r3+6OWH2lixDnLaDSkaRqMbZAKllXFpBgFYG9pyIsBg9GI+u4DbnzvDY7e+5DlyYzj2TFVU1EOSlKl2NsZU1w5IFEZKi24P5vz4c1buDxn96knmO9OmOJCNGqm0DaYuArtsbrGaUeeK5QA4RyWoO9ufIjGttZSVRUnJ1NWq1VYVEPng+Bcq10eZa+kohMxj8CC9+BsWBALTzSjbd+uuE2MPlynDouNATQs5Nem7i1ZEnTKuy6oA7pcGxXea1ZCBNApHLU9v1hnkPjokdK96X7dC/i4RPCOxjuyIuHO/bu88+67/PjXXqWKZqbOeaRSSKlIlcDaACA5HE2jcc6TpWn0BklZOc98XvGd199jMi556flnuXpln8HoEoNBQVMtIoAuMMaSJilXH3+MohyCVPHqZOupHogQZASZwo3yNoDTxntef/11bty4EYy5tUOoYGNmbDA4v3PvVjR+hUQGkmF3Z0KaSv77v/+r5HnKv/Kv/iv8xm//LsXkErXfwdodlsc5+eAq+5ce5869P0WlhgdH90nFgL39yyyWJx2QkqSC46MHZFmCUlDkJS7gNyilOD4+RghB0zQ4EwyoW4mq8XjM7u4us9mMNMsYT4KUzWq14vT0lN3d3S7qNkkSZrMZi8UiGLpnWTBQXq3AOrzzVFVFnoVjlIOCxx+/zsl0Rp6nLFcGlYTI5jZ7oZN6I4D3TdNQZBlpmkYwUXRyQ0KEGZ2P8jKKQIwRAcG+RFZs8cAaKPPeB5mZCEqqXlZMC651UeGRBGgBz7oOJJFMEqRUIevLWrTV6FrjBwneGgaDkrrWzKuaxfSYndLyEz/xMsfHD6jrFdrXWONY1RKtG4bjASoLfiH37p9w89Zdjk7mqLTAC4XwHus9aZqgTR0BTxm9ctrZa5umKhCkOOs5Xc5ZLpfs7R2E6/AZyjuIGQPE/UXMFCmynFoHb5lUJVhrMdqQSIVQSYxCjK8wbXykgJbEFQkqScBLnNfhPRWeVXUKwvCv/Wv/KtOTGVlaMh4fcOPGXYTa5+O7U45nK7TxaANKpdRaM97dwWqNB5IsZbFcMl9UjEcjyqLg3bfeRNc1eZbhEsFjj1/nZHpMkaeUgxzrHePxmCw94vjkkNFkQjkcMJvN2HGOncked+/e5saNGzz77PN8/7t/1j3zICsWMsas8dRGk6oUqYYYnfPOux/z7/w7/zZ//a/9Nf7u3/k3uHz5Engbjc9nfHz7Fo8/8QS2CX396WyB1prZbMFqVZNmeYxU9wjXRrQH6ShvHSQJsweH3Lt7m8nODkqC1RVPPnmNm+++zcnRfbzXWGtQScLpbIoSEu8kHhl5XQWYdR/mY98kHHmeoH1FmaVYv6JplkinEVaTCodwDcuTI06EoihK8iRDJSn1QuOaGukMIBFJCsrTpqYIgs8IrCM8hfSRyDMgVIgLFh5rPcZKMASPGZEwHKYkTUJVz7AORuMhZlUjnEc4kInECbFOHQ8ISAeohEyVoJHcBrda4aKiY4ytE4LGOqRK+Mt/7a/yy7/yC3zzm3/EP/knv87b77zF3t4e+/v7kXROSWToN0XiQ+aZC+RH5/8R69GCFK0ciuipnYexHLxvzbfTrs/J8yyOKxYhZMzMknjrWTUNugmymmmSMRwNODk5wVuLkgKt69ivWcgLPB4vg3Sn867zfHHOsXewz3J6wpNPPcW/9+/+u3z/u3/GZDzm8evXOTx5gNGOshyQJhn1qkFJicHg5ZpgONg/YDQas3fpgDxNOJ0eMV9WrJqaJE3RxuKxZFmCVEnUkPekWZCAMtrg8jQY5aYJJpLhjfZMT2esakOWJhgVpP28tUF6KwneO86szdSVUnjnSGJGR5DyipkXkTDXWndEw2AwxNkgf2WthZ6cWZIkWOfI85xXXnmFb3/nz3juueeix0g4RlkWnexkludcunqF2ekp1lpOT6dddqExliwLElc6eoPkZUGiEpq67uTBJpNJkHY1wXtrsVhA0cq6hfHRzmbBI8U7tLHgIemRcjb633xRviifpfhoir4hp9X+7IgQeiB3BLiV695tqRwydcjEMixqJmXNpKy4lM25nM3YSSvyCOglxMCLlhAR/mzr7QEHfXhqA3A5gzu0aPHDlrxnqZNPs0D+pKOf3SacLchbdIKv4bNzjxT39q1ccnuU84HHh+E729coRRijw3w2EiQIMmFwQjNWKw7SAFDNbMHMlkzNgPurIQ9WI07rklWTstIp2gZyxLs2gpcAuG4TI7IF8tdRmyHL3/dIEUMqDWnMGOk8Es65os2muQa81ne1t7Vvfa42M0Yuoin8mW8vvrsd0bX+r/vsfOClD6+e8yzDVDyQI05gpcA4FfxGhCIVYa3btpxORuXMedanO3s9j1o+LYjW1mrzdGcl5Nr7H+/XOVXrt+nz7tQGGBoxhm1S5CFwZO8sj1Y+6X3vkw4Pv2vnnbMP89K9I+FYvntn22yR4C1iNiQH5YbvjO9+tP5Hbf1ly87GDeKUOQCqYvtZrD9wXiBF9OZsz3But9U/yOa1Pkqf+WnLZ+2/P+t5Ph29c375YUPTP2j9HuVYfuvfp3m6/XvYH8M3j9f+LqPniAryWbQkSrvNmhzZrN8G3XBO7cXGuS4u6+tahzL06x7fB0Fnku77n33C0be/75Mj7Rlh/cr67sWLn/fqs1b+6Y2CPaalR5X8c1vW/WyrDPNoraAtP9LEiFSC6ewEo5uo3ZyxOx7RNCuGWcooKyiM57Xf+i2+97vfJFlqJjJBecflQU52aYd8WAaA0Xmwgulizp2jm3x0PCXZP+DxF1+gLgqOrEZLRW0tVbVAokhlEgDClcZpx8pWoASNbgg272BcaKZ1XTM9mUbd+RB522rXbk7u2kyMqLu5McCF0oK4AsIiO5qPShmyMlwLvgkZuYlNb4U1Jr3ZUFowuPcH7WtGzDagt00HIBPM5eOXsSPy4CV4ixdurVtLK7FB8BOxwfj7jdff5MUXXmRnskNdrZAkSBui3INRN1FeDBKZY2yIGG7NSpNEIZISlaccL5b8wR9/l+eeeZIXn3sasXKsVpYiV2ij2dnb4+rjTyDTDI/AWYuSQUbrTA61B6QDb5FJAOiFgFdeeYksS1kuA+BtnOVb3/pDLl2+hNEhOn25rAK4hqfMC2bTKVZrnnnmKV577fvce3DEV77+Mr/3J+/y8X1BNt5jOff89//wdXb+1SGn81OG4xVXLu2xmDYc376HlI7xJOP4+D4T48F5EplR1w3T6SlJknbZHVmWMRgMGA6HOGNjpG6B1pq33nqLy5cvc3BwgHFBU72VyhpEqZYWaBoOB4xGIwaDAUDQu68bmnrFzmiEMYaT6ZSdyR5pPqBerXj8+nXeeusd8ixjXjXYakWSC4RMukyW9l8LZhljOlN3a8NzzbIsAFVN8DQRSgWz5dieW732vmdIG9zY/u39WgaqI0+E2CBF+m17nVEiSJIMmaQIgoSP9xYhbJB9kR5vGxazE/b3L1OvKprVKujUNxUns1OqpiZVinI4JEuCIbbxkCQZico5unPIG2++z42P7lGUu8GrRDdhgalCRtiqXnUmwK28XvA7AeFlzCzxjCcj0rpm1ZguwypNU5AS72y3qAgT8FbmxUYd+wDatlHqrSyNlLKLWLZRRkaI8BwFEkT46bxFJRLpDdau0Kbib/y1v4ISkmalSfIxH998j/1Lz/LxnSXHpxVCFcyqE6azijwfsrM7jgSoJ8tLjNEcx0ym8WTCrQ8/pK4qkiwD10df+QABAABJREFUHF/72tc4uncXIQyPXbsWFsYx++3K1Su89e77HB0ddubmy+WSncmEBw8ecP/+IU888QS7u/usVlX0CwiEY10HAsBrR1PV4BqSbMLJ0X3+53/4T/j3//1/l5/56Z/jt37713n6mafY3dtjd3eXb/ziL3L37l2+/53vk8dI/6qqQntwjiJ65ThrImAgAIXH4pylyAY0K8PdW7fZmYxIhGd6fMjjj1+lnAyoVwuODu+yu3+ZerVgenQY/KgEOOmjjWKbWeRRStLKWyEcTbPCWoOQQQYoSRKc8BxPTxiOJwBo23D75kfs7uwzHk/Y3T3ANjXD4RCVpti2W4zMZHt8Z+N7I0N/jQ++U8KLAKJJiUhTrDVIkZCojA9u3OI//k/+3zz99DVefPlZXvnKc5SDktl0xiAvWK3m7IyHOK3xIqgzKhGykaQUSB/ebWddHFPidEjKDkgQvXxzgcIax3K5wBjNL//yL/Nz3/hZvvvd7/Crv/qr3PzoY3Z2dsO9y4LcE95jnYvAu0I3ek244jvQCVriJoyI1tgu0AHvSVSGc/SkmGLAglAkSqJkMFdv37VOKsvDbDbr3v1Wvmk8HiOlpIpeLGmWIZMk+BlJiTU6ZKsaQ17krBan3Lt/n2vXruOcY3o0pShKFs2KMitRKkEKhXCeNBLAzjl0s6JaLTFOc3h4H4GkaapAmiqDUgnVSqNtg/UCJUzsl5PQBpwDYTFGo3VNmuYolWKsJU0TqmpFXdcwKpCxT1ZJgsSTyZCJuWo00+lJZ66epCmKtZfael7jelJbScgQUQnzmCGilCKN5LsxJmRIjsecTqe8+NJLfPf73+O9d9/j5Zde7p5TkiRd1ojWmg9vfEiWZRRFwWA46Eiy6fSQ0WgcAjnSpKurgCBpZoLHXJZlGBtIl8FgQFFmZDETxtggt+q9x8a2lWUZeE+aBLI8tAHTkzX8onxRPl3xicenbktOy69XkzIA3LTyR8qSJI5UGcpUUySGItHk8V+R6vh5w1A1jFQdIpwjEYKg+9kSBa639oiY+toElT7gQQ/0PQuQCS8eAkxEyaLuMn9YcZR9AGedHdKOBueDSS2ssl4Bbt6RNRGwudcmGOzP3WoNJq8hV7rnIDxIEaSSvQj7jlmRSctQ1kzkkqvZKXNTsNQZC5NTmZSVDf8aq9BeYV2QOunA6h4AEZd4tHIWSjoS6UgTQ5EYMmVJpI0G0+2KcR0BvJkhsnlnJG1e6nlw03lg3vlFbPzuL2I4Nrbftl05b9P+sbaBvH5p6xfkv1ojdkkiJZmX8RlunuSi9ruBU3/KcrEMzKPsG8rD925RgvO/eRQQur0XZ6PDz3uz2v/7wOLnVx79WBf3N10AUW87SZstEt6NVFqkcN07IkVLLJ89SxvUGr4L/avsYTmdHwGtdNZmFpb0EXztOuJwEhXPcNH1re+J33yHPufSb2efvbV++vN91vLDrt8/jbJ5DW2v/Mn3ppX2hvUIJ3rv4Vm5yrBlnwzZ9oQ6g5Oy2fq2fxPb/4uzfXHbn68z2jaJBRDntrV2DPiE4eITS1eveJ82rrnDX9vJTegDnJPtFC2+1+vNXZwItaRI3O0HqOGPaol9ZCvl2bbDT3EbfqSJkSRTaNNQFjlaC2QiyLOUPBU0iwX1ouJ3/vGv8+CdGzw22iUvIVHgvSMvUqwx1Kcn4GFVGx5MZyy94G5VUzx2nYMXvsSJVFTGBL1VoxEecjKMsaxMExh44/DWoE0DSlJbw8rpQCZYsNqwqhpWqxj5HcHadgAKQGMAlKwFTIgW95E66WdftB1CeNDRbDWCQgKw8W1fS0u4+NL0gax1J7EeoENEYsgQWZuzSx9NrdvpRgR62g7Ohw+3IsAiEUNrsu17ndJ66SCVoNY1RV4wO53z7T/9Dn/pl/8SqZIoIYL3ibV4QoRaKgK4K0XIJGmPYxwhU0ZIpqcVZZGj8pT3PrzN3TuHPPHYFV584RlUaklkyvUnnkKlWchKiQCz9URZls0Or51kOWuRiQrR+sLzY1/7Ci9/+UV+93f/gCIf4FYGIQjtcVhiTcN0OiWNUm9NveL4eEpVNfzsz/4iL738FbLhHn/2vY/4b/6732X/yZ/j+pO/xLf+6Ht8/+0paZlxefw0Dx58j0VVY7xApQVWL1EqocxzvK2xxtNUNpjJJyl5USCEYDabhYhb7ynSDJmH6Nr5fI6Uki996UtorZlOp8hE0Wjd6Z8PBgOWy2XUgk/QWlNVFUVRdICTEALvhnhjqOuG/b096tpQNzOkSnjs+jUee+wx3v3gJmmSsKxq6qWnKAZoozsJPCnjs+7JfwVANzwFKSRKyBAD79kArFwkdKAnAxUl5VrZGtr3JBqwtyRIq00PPfm6c1YxTkaLu2hg7pxF4klTSZal5KlE4tF6xeL0lOV8gdGOajHj4zv3GBQ5jW1IpECnkqauUUnK4rRCpZKPbx3z2msfMp97VF6yqpYkWQvQ16RZymg0ptFNIDsBogydd1GKjwCWaa8ZjEuuplfx3nN6OqdxGhCRtBBBssn7tSmDX2fJBLP7nMlkwsnJSSD12sjqKGfWFoEKWQIxeyxEaIc+bDGf8+pXX+FLL7zAhx9+xGhylbt3jpmfaoYTwYOjOeVol7ffvcFKe6pVQ1FOKIoBzhpMlBKbVwtUmrF7cJnDwwc8OD1FCMnOaMy1a5c5fHAPZ2ueeeYpcDYYXjswrmE0GrCzs4PWGu8FUijmsyU7kz12dvaYz2ccPjhhMpmwqlYhEt2DShKSxIZnnqdIJbBVhbMSfML3vv8WTWP5lb/8V/m93/9tmqZhvphzdHLCyfEx0+mMYjjA++CBVDUrfJSUarTGCx//DuOQsRZrw1jRNA0Iyf1793js+hXKImN68oBmVXH50i4ffvQxs+kRly9fYrFaYHUV+j5yhFTBYyJmA3Zt33usbkhVznw+RyGC5JMNGY2QkORDZFpQa4tSKcUgY1kbHBXjHcGyMWTFKOjARmBeiYSQu6UQPrzHeIE3FhvT/L0PWSKIsMjXdRMlWSRJklOWE6bTBd/9zvd57fXv8vobL/BLv/RLTEYjrPUU+YC6qlFZ9NeJ1xOCnV1sxhKVhONbFyeHpmf+Kdo+QPZ8RALpeu/ePZJU8fWv/zivfvVV3njjLX7/9/+QN998jcVyQZFnlMUgmJtrg9W6q0Nf21eI3jRa0N379qezUOQpxrhI+BLHYgE+fOYsHVnbf37GBGk473zXxy2XS6qqIssyJpNJIECsodYa4yyFLIJsgjYs6xXKGbIi49q1qzjdoJsVVhvGkzFLNImMJKuTKClI0oymqhiUg2gkHnxQGqMDeRL7zWVVo5QBETI6GxogADtJEjKvvBeRXLUxiKFhNMrQxpD7lNlsxnw259L+LghBkijyNKNZVUghWK5WgI+Ew1pq0RlL0wT5saLMu769HVfaDF0ZSf7xeAzAfHraeXscHh6iTcjwLEYjvvzlL/P666/z5BNPdmOLEEFOc7VaUZYlly5dwlrDaDRkMJlwenQEwN7eHnXd9J59yOxp6hVlUaBUuCfgQDicN1hnyLIUYzSruiIvSlIZ7m9d6zg+BmLGuCA5o5IEpWQIDPmifFE+S0k8ZD4C2URkwHfBGEJ4ZOJQypEkljw15GkgRSbZinFWM0pqBiqYqGcyRDSHqOagIq5EXyCnD2ZtLNt73wVw7mHUxXk0Qf/H2SJ6p1mDNY8G5j5q2byOjW96wOQmTLver/1s/f02IPSw+7FFjHSRrNtw1Oa6pkWCWjrCA0o1lF7jpGAvCZrvlctY2IyFK5iZgpnJmemCyqasTDDJtX4tW9VBX91tD+tNKYKZdKosqbIUSpMr05lIt6TZNuS5Uefe3+Kc7/obbcXlnwHVoA+SbD2RT2gUj7JN/5xt9PFFpQX8nRcYL9BOkXmFpTVhfzSI9lHrdd75e/897OgXfPaoEHLbIjZ3W4PznyzetH2sh12u7/3/eYcQ9Mmqh9WhfSYPfyw9ArCTvXM9L5Hw7rT/WsKx7VNcRG56hyNOSlv0qOsh2nqE+bPoztneTdndtShVJNb9w3n1Xte/T4j4s5ucuQF9ZGXrfp1b2razBtcfbb8/33IREfijULYxsJDdtu7RNq9kPba2e0l8R7qHNZvDIXu9wObIFmDFtcTWo9av34r6o1+71WYt+6Nsf80muoNtS1yJjSO3R+3t8zmVEP/ee2F8+6N3PZHQ7KTwfGtaEK+llz0r6PdTj96z/uiW7efRyyuMc9xPM8L8SBMj0+mUQZ6TZwV5PgDpOTw8ZCfLUMuKP/uN30UcTXn+0lVKJxFaU5kKLx3Hh3N0YzHasagaKutYIqhSxeT5L5FducyhNSy1wciEul4hZYq3UC81wqcomVLrFZ4GjwkZDVpSa4d1Gi8s1ghWVUNVLVESIEQFKpXincAYT5ZmGGep61UHKISXOgxVzvuQQNKOipJAsEAwJ7bryagg6LmGjA0Xhy2Hih2CFBLrgj+DdcEHREZGQAgJrgEVXrWglx505MPxWrIDQjZI6Grsxsi8Xv4AkQTydFpd0YRdxAonSmG0Jk0yvv+97zMZ7fDM00+zO9kJwAQJ1jXBYFcFkCUouMQoiVQijcNajfdQ5Bn4QJbIpGBlPW+9f5vpfMkv/sJPcfnyPkk+DHWSLnYqHiVFkCYRstPpDKCaACeIQdgR1ApZOX/rX/rr/N7v/x4yAU+QqBLO47RFCsVoMGY2n5OmIJKC6czym7/zHV54/gWyYcFHb93gD/70NvenlxleewqjL1EOr/HB4S3+/m/d4F/7y1e4fvAEzp3iTJCFI1d4ISjHQ4zRJCYA0sZ7ynKA846dnQmtvr11NujxuxBhO1/MGQwCObGIGuiDMhgqTyYT5vM5QATDTQBvdROedcwaUCoYejerFVmaUuQFutakSUKCYLGo2Nk/4Llnn+bGx7dIkxjVbmzICDAOLXUHurcLQ2Mdxthosq46Mq1uapx3UbJEd9ru1rhontyaIweZrP7M1RPajRLB2NbL1txXRtkk8DIA50CXBdX+M9rinV3ruuJi+1MoociyjNFoEAG2JctlFfxAHIyGQ/JMUc1qlFRIHGVR0GhHng+4fXfK9157m+l8hRUKvCDNc6ytIyCZkCQhotyaoDkciBAbxzoRDFC9IJWK+eyU2algkA8RUkYjdoXD42Ksv0wEzroY3S070qPNZGvN1tM07SRnWrCxzcpx0cfCAyiFd5CpNGRYWM/e3lW+8pUf5/D+lFSUpMmId95+jcuXHkdrwUe37qHyMWk+JBskDMdj7t1/gEo8O5MdhBIsVwtm81MuX7rMYllx5/Y9lExQSrAzGWGaFdgVj1/fZ1wKTqfReJ6EROY0Tc14OGK50lgbiFmjNdYYxuMJVbXk9PSUnUlJVgQZMq1N9HRJMXhMY3GNQeZDXN0gRMnbb37In377NV758k/w5DNf4vDwDkKlmMbwve98lzQvuuynkLkV+yzhQhSuI3othYlmMDFvl0YepQSLasbtO7e4dGkf6yz37t2hqpY4qzHWcPvWLW7c+JhlVTMYj5FErxchQl/u4yQg9s8uZhSGNpWGc3WEmiVNsuBRI0PGiXENUiRo1+CExThDkgWPICklwoXMHET0rZEhE6qdrYWFW5R8i6SIiGR7kqQIF+riCZkOWZIileHo+JSPPrrJT3z9x5lPp5RpSqISjHZBF19E8lqEsVHIFlSIE21BGOfkWkTfeYeK/bh1QaLJWUeWJiRJ6AuOjqYomfDVV7/Miy+9zHvvvct3/+xPeeutNzg5OkGp6GWmwrto6mCo7p3r3omgAdUuQkVnYm6NxfaknQKRG6X74thsrUVteY90fZEQNE14bq33yHgyoZVI1Dbc9yxPsS5kSxkdxsJqWaFkzihPkSJF7e5Qz09RWJRI0KtAJDa2IS/LAGbG8c0bQ1mUiDTHaBvI2TiGpFnrexI8OCC2uzjHCFKLOSqRIBw2klne02UCem/RjWY2m3EyPaVuDGWeYYwnTyNJm2Uho02GQAhrDI0N5EOWpBRFGfvIBGMajDbhvEohRcjQ0I2O0lZh7GqiPJh1Dm0MJyfTILF17x7PPP88b7/1NstlxXA4QIhwveHZS4QUeBvGodVq1ZFcxmiWy4osy1Exq0gLQ5om0Xi9Js+LSO5kpCqLbQAarakbDV6S5wWJSnF4bGPJ8iJIdLUZkt08KhAkX5QvymcpsjSoUnWyWEo6pAyZIVliSZUhVzZkhChDlhhyZcgTQ6E0pdLkMniGBN8Q32nft1HPkna+tIYt2niM+OeZ0qf6zsuU6BMI660+YbG7iXuwBka2j7Xe/gdDr9Y1bxUBWtxwY6He1WR7xbT5+0VX1xIhfmPbrbsm2nNfDM73AbAWPBACEr+W8hm4hrFasUxSqjSjciFzpHYJ2qlolhvNw6MMio/gTliyRq8T4UilJVOWQsW2I6NE0FYN1/XyG39v1n1NC8le+1PCI3qSQ2dJqY27GI71qdMtHrGRnH/ijQ3CGj8ar8vgNdKZDosW0v7hgVuPSjBsg6GPsv8FB1z3CfTb7flHevQrXx/lk0D2z1q6O/Go/cSF2637ofB+tIbraxktJdZSc+fLzcW2051i82RrXFRsvCstICyEiO+d665McvZ+r/tev/XUL8rf6b93gi6dZeu29H8Rmwe5oIgzNfiLWi4iRX7g4eWHVD6ph+mej2+VCfo0w/pf+7jX7dLjRJA+F7i4HgzB1xIZ5ghhMAvHaLWQ27LRX1xQr94Wm+/B1mxh4yI7WuTs8c/cjK4ln63YVunPMTbrd9526y3auvn+x/7i59JCwX2ky2+lM3bzHv8XscV93mV7ZthiuO08YX0/HqX8SK+udvf2UV6gTVhwo2BvZ4/5jY945w++iTqcMkHilksq42mqCoNmZRpWK4O2ksYlVC7FlSV6UFJe3kdc2mUmBfOmptEWg6EWjlovkFogbYrQIkQDU+PUEqsajJN4l6CbkPboXUOlHavGoJ2BCL47Y3HCUeQjnHUIEUDWspBYrxEqgCxSJgHTRtDooCsfTI4VTb3EetMNeqbWwTsBqE0AbqRIkDIJMhmJxFoX5U4iyOmC/nyL+IfJoQnGfdjIRvYAUW/pomI9CJdio46tZ+3R4F2YEQdZo17qZ9cwHd6HKNgg+2EhC+DrH3zz93n3vXe4dvUaV69c4fq1a+zs7JCmAcDVpsbjO9BBWINKwBLIIxcN6QOZI7AISFLunlT82m/9Ec89+xQvvvQ8ly7tk6gkXKEM3biPi7m2h7fOIpA47VBJHq/TdNORr/34q7z48vO8/db7ZGnKatVQLSvKbBAyHaRFKo1Boo1EyDHLZsg3v32Lo/kpd2cWn73EzrVXkdkLnJxYDg4u897H9/kf/uANvv6lEV9+fMhieQ+9qjEqYTAccXh8SD6wjIY5RZpTNw5EMCbXJpAZSgWZqaZpAjioVPC1SENEctMYtDXs7OygEoW1Qe5mNBqhtSbLMlYrw6paMihKUpWA8zhnwfkIoqfUdcOwLCnLEhAkaWijdb3kypU9dsYDpqcznLV4J7HaYpK1JFOWZdF8ELSxNNqQphlCKLIswZjgNzEcjfDeYG2DlJ4iyQJRYw1pEqKFA2jqcVFXGQiZPlJCNLcOAGQYvV00wpWAVJtxRUFywJGoBO8MDt0ZAoNCiRzvJUom7O7vcu/eg0jggG4cWZJQ5gVNMyPLBdZUpCqLQFvB/funvP/hR9z4+BbL2qLKEdYZMAZvQ1aZFIHcMI0hVQrEWj7GYfCAUgnCRwAPhUCiqwaBIBVBj1/KINvUaI1KsjhrEUiRMJ8vkTIY0Aez5iXz+bzLCgI6GZ++bA3Coa3GiwSEJPMJ3jqslXz5lVfZ3T3g8NZ9snRMtRKcTBtefOlJXnvnJg+OZ1hWKJVy9fo+QgnSTHJ4eMiDoxVpljCfz5hMRgglufXeR+RZjquW7B8cgDU0ZsWlvRHXLo2Yzx7gzSx2Y0FmK1UjijSjbhzeOcq8oPIV0+mUy5cPKMuCZTUjzSDNU6pqhVAS3RhEIhA6LLKNAK+jtBYpkPJf/le/yn/4f/8P+MYv/GX+6//qP2d3r2R3N2QuLasq+D8pFd+JIIVENAi3xq4XJdEHIpDVDi88xjZYJHfu3mbv0h6DwZDVqqFuNN465rM5SqY0dU2ep+AcIo0Ei4iZG/jwvsYON0g4Rd3gNl0w+hyAR0kwekWW5TGjwyOkQJsl2qyCFBYWbzVSpZHsppPsCv15fG9kmwodfheinfKGyDavDUKqMBYKhcbjXTCH9yjyosBqTaKCYIaLi6quLdICaD10iXWS96aWqEe1sIIPMlx4TyJF6Mt9GH+yJBiNH5/MUErx7HPP8czTT3H7zs/w5htv8sZrr3Hz5s2uXyyLIhwvZndY60hVEvw9AG8twnuUEAyKgjq+t1ISx9I4qXUOEb00Qhak7LLZAtgfzLybWkO2lotab5OFuypEWKw4TyKC71ieZRTZbvAkUwpQ3L1/lxRDKiXVosLaQKzKRLHSK7x3FFmG95ZBWaJ1IKCKtECJhDRReOdx2tBYy2AwJE1zmkZ3bUsIwXA8JElk9OwJmX0QZC/LMpAqWTSnB8FyUbFcriizDCUFaaIRSobgEu9IkpjdKUWUgRBhfPeWqlqRZVnM/jMYbdCxPt45tPdB9mow4OjoCBOltrQNUjItUSOEpCyHXLl0hfv37pM/+USPMJYkmWJZLbqMkCDH5WKmiiBRKVZb8jSnLAZRQlMgegR8muYIoVjpikZbsizFxc+zrMBbMC74bWmtcTb4zEgpMVp3WY7G+pAd90X5onyGogpNVkqkCmRIqhyZClkhhdKUSSA/SqUplI4ESJB2UcL2QDvfyWWFwJEoB4NbRzYDa2g+Gvz26tJu0++1LwLy+zJSa4Bv/Vn/Z3ucs2faPtoPVjYh4/XVrIHfTVBFQDRb70MoFwHCF8U4ik5W6Ox192Pw6YCq8+q83qP3uwgAloJAZGAohcSomjpJaFxC4xNql1D7lNom1D5+7lSXReKQ0fy8PW7PVFpaikiqpcJ2oO8mgbW+kvNq3QHKsa4IQoS9sEhhI+D7sCjRHnDVI0UeBp74827eBcelBa66Zy02vm/bSxuFHaS0ggl7+89FD1EpfniAatdGLvp+A5g8Cz5tTMMesWyTIf0n1cctuzvlxSc+zX4dzn2G/uGPbvM9/qQzhDf8kcmRjf3PAfYjeNeShxuEyNk706tDv79pM0diTxsgmI3r2sweCaRI8B0JgVth3h59+iJS2xKcvrvYiwFhsfF3B9ee0/NuXP0nPNXtso70v6hG/zzAwJ9n6QPs54Lwve/Df5tjWhiLerKVoh3t4zOKO4dd2/CH4HspveyCKNpyhqSgJfTO+kpttp3NN+K8ltBKxfn4zoW+5ZzW22Ef/Vp9cstq35qu6g/drq1zf17D+krbfr9Xh415BKzvsljnwHRbt0PRp++ofqTKOUIvobRZIhEX/DR34EeaGDFG03pWCCG4snvAoGn4w9/8PfTHdznIcuZVRWMtprHB8NJovAgTEKcybF5i8ww7HuHHI+pBCV6w0g6zcgFAdgYtQ+Qs2uNrgfIF3jkaW6H1DJ96nE3x1qNEymq5ZFlNWWpLNhjhlYA0ZTiZsL+7x+x0wfx0wehgzPRkyi/9pV+mLEu+/e0/CYtxJEoogr9xgrUeqUJkbjHMGAxy0kTwwQfvc+XyZa5fucbJyZTlsmJR1ZxMp5wcTTHWBBDIiaijr1AqweNACaSS1HVNliYEBZs0yK84F0ANK0K0LhZE9AvxYdImUdAlv/nei+kjSBnMZ0WMHN7otDwhwlsKTDQET9Pgj3Hnzh0ePHjAO+8WHOzvc/XaNa5dvcZjjz/G5cuXWa2CRrwzgSxSUuGUBe/RJoAjgZkO8jXOQ5YmHE8XvPbme9y6c49XXnmJF198ljxLCNYsMXPGQ8t1h74xPHfhA3ge0v0dSgrGgyF/5Vd+hTdfe5sszxiUBXW94vbdWwyHY4Qq2Nu/jpOSo6MKXRdIUSKLlOrUYZOSYvQM2ehJKlugT5Y8/fQl/O2SW/dnfOf1B+znJaMsIVUalSsWy1MaXZO5QFRUdU1RjnFeslgsGY1GNE1rzusxJhiDt/r1V69e5d69e2RZxng8pixLFosFaRY8RnZ3dzk+PsaYKOUhgldJq99+cnLCcDikLEtGoxGrqqIcjJjPZqzqmkuXLtHUNSJJGQ2HXLlyiRsf3yVRiuWyJstGXTQ1EM3gG8B12QurVYX3liQZsVyGa1JKcHw8R8kQ2Z/niqLIWSxMNxFu69gCh/0IbO9d563T9xlpt23/7oD/eLxEBkkc68BYg0RF8FeQ58GfqKoq5vMZ88UCKQsao3ny8SBnZawjSyQWaKzFesnpySm3797n9TffoNENMklB2BB17zyJTKO8TQCeg1F6qI93khZkF4A3ISpeigTfReWH56YiClGbOvg6RA8iKcLEwDlLohQI30mUtZI0baQ00GWOtPezNQpW3tG4YJumVE3tZ1y+usNXvvoUuplT5Bl17bhx9y4uKbh1f8a9wwWnpwucCNJuTdNw5ep18mTI9WsFxyf3AxlXDhiVEz786CZG10ghGI1KxqOSpp5z5dIuB/sl89kDquURIvoYWWORaY42NePxhJP5Eo/FOkuSSlbNirppGIyGVEdzVk1NUeRBqskFwDxRKVbWWGFQWYLTBu8UkCJkwXf/7Pv8N//tf8+rX/tp/tGv/WMeHJ0wGmQMB0UwYwZUlpJlWSfp097D4JGT4Iwlid4DzjmEDMJU1hu8MywXC+7euQ146uUKawxeCqrFkqIoA8EngjyPNpo0S3HWoRsdFj1CBAIiNP5epL5fZzhE2S3nLc4ZnEvCfZACRMhesXH8CCpdNrS9RIWFVCQFvJdd+1jDXu3UDTpPqvaTONtzOIQn+lkEELosBx3o0U0CpdiYRIYsr813mfXZep8FVKgfOdot5MXmJHtNcoTnhbNcuXyFa1ev8VM/9ZN88P4HfOtb3+KNN99kcXjIaDSiLEqUDPJ0q6amyPJ4j9aAe5ZlXT+89sJoo6PCNSoVvE/6MlCtvF+btdB6RrXvpJQybq9iVsIKfCu3FSW4kpChoo1BecelS5cYDDKaxZxmUaPShKpasDINKk+xRqMQpFmBkIFPGU/GPHb9Kkp9D20MApAqJVNJIPZsRZZJnA3yd8HwfECaSnRd0ybGW2MxSnS+K21fDTCbzamqimZQMigzFsslWSZpTIO2Bud0J22VRJ+e9vrrumY+n0XfqdAmgwRk2j3bVgorTVN2dnaQUrJarWKAQNMRDvPjYy5fucxrr73BwaUDdnZ3KMqCuqmDLFfM6mk9Srw3TCY7OOsYDIeYmJ2SJAl5nnfPru3ndnd3qes6ZKYJgdamy47M87y7L3medz5aq7reaOctAdXeuy/KF+XTlkGpyQd+TYjEf0WPEMll+CwVgRDpzH9ZZ4T0gbs24r/ra1vyV7TQ/3r274gBU8ShoI+wdlDaRXBXHzo4C45tw+eCtYxvqM/nAxF41ozD+cfdhmy2YFXfJ0vicbYqtpan2jrv1u9nKYP1OS8iRbaB4D5sv74ej/IgpEX6QH6lwpJ7Qykl2idopaidQvtAjGivooGuwniJ7WW1tNkcSloyYdfZIpFU8wGn6sDY9WRhPR/oU0ESEVEjh/CeVBhSaYNZtbTRu+Rs2cgOeURSpLtH3WP/NGDuOduL9tPQep0H7yXWe6yX3T9FkKPsIuU/p/a7XS46Zstt9eVlzpAjP0DZfkf67dN7Ee4LIt6DzfbfLxt9QO99/zTnb//+NNf02SHH9ZklxGwnFz1FYuZTBIz72VTdPfL9I4W+xImt99mvBcoEdGvG/jxcitaYXUQgMb5lvk+OfH7l84Jo+/3/eeUvIgz8SeTDn2fpxmIegRyB3r3v9wW+e0dDLnz4VHZbxoDAtt35sDqwgZoLBLnwG/3zRns9ty/qb+d7A9l261iv99rgZ79Rd87IaLUYYJ8c2R7jt8t2+94cjft3apMcCR+L3ma9uytCX9j2/a3wRHvNEhE9pddEezuv8lvH+2exiPb+9NvDVl8Y7uOj34MfaWJkWS3YGYxZLBeMRiNy4/i1//rvc/f77/L4cMKD4/vINKGyBo+Mi3JJmuSQpGiVUOUZ9WiI3xvRZFmIYK1rnPbo2mBiZL3MBH5VY6zGW0nja4y1eGVJckVVVRhtwWaY1ZIsdTzz9JNcffIpxpeu4D18+OFHjMcTLl+6zHvvvceieR9NQzpMWNQz3nj3TayArCiRzoGxGGcDwOlNICmEJUtSBgNFWRRcv36Zoii58tgV8mFJXo6QMoDc77//IWmSM51Oqaqa6fSU5XLB6WzWgZxKKFReAAKrDVlSAAHoMHWIpFRKoG0VojRF1A50YIUFXIxo6XUHbRttzf98iFVoDdqDLJhDCLkBTLTgUV4E0qmua27fucPHt26hlOLq1as8/fTTvPTSi1y9ehk1EiwW8wDixkjOMk0xqUFrizaGJA1gnyTotzaN5cGDKX/0R3/K8ckJP/bVL7O/PwIP1gQ9ddFOCLxlsagoy1FIkfE2TB5aUkfAX/+Vv8x/+H/5j5hP53gCqPXq177G/+p//a/zG7/xLU5OV+wcXOLw5G28SlkYT1YMcdIikzGj3adYakUqgLqhcYrnn3uF7/zxb/A7f/wRLz/3Nb723HVm0xsIYUkzQTncIUFzdP+YrJzw4PCIshwAnrIosab1GQh+IE2joxH0Cq1N1KcvyLKMuq7D/ZcBZLp37x63b9/mypUrCOFJ0xBNvVwuKcsyGMYWQXorTVO8cyyrinv3H3DlyhXu3ruHkJJLBwfIJOPFL73Im+98yLI6xXsfjKi9YzQZ4b2KhI1GiAj8x6HV2iAt10bdz+dzyqIIslXRDyVNU5RSLJfLSN60C0zRAWct+Biyg3peJDE623dg4poQATYIk5bgw/sQOSMFUgU/mdTn1LWmiabMxljqumb/0hUWS41KchrTUBRB/ma1bFjWKx4cn3Lv8ASZDUllQtXUZFlBo0N2QDD4LaNEjCbLM7zViJYUEaHOzjpsyJcKPkVC4pxmtazQ0ZckSVMgD5J1eUGSpFFuR3ckj7W2u6f9+9ECcO1n1gbgV4rg/1IkWZAl0nMW5oSf/IkfJ1FzGtuQ5SM++OgO337jJrcPa1y6z0I7hFLs7445PDzk8PCIpvGU5ZBrj13i4OASzmoW8yUf3bhJnqbkkwHeWfYv7VPrFaNRwcHBGF0fs1wcIfwKjw3+TBQ0ukLkQ2rdBMJAe7TVHdg4PT1hMhmTJhmLRXgXpEwDwSQTnBNIleGVxiPBJQiT4G1Dko1o9Iz/7P/7n/PqT78KKsfJhOWqoZUZzPMcy7otlmXZESOtsXY1X+C9J81StDYxywlizjGN1dz6+BZlmZOkQTpuUJSAp1nV1PUKu1xSDIYY75ByGJ+LiJmDIVMGJFKB9zZK44WMqgBMx2msWJOELppJKy+QSRYCCVwgv60FIVzw6IgdfegKHfgoW4UKMm6sCZFuWBCCVnEpfBck2YSELFWMxuNIEkWpqSRBEohz0YUZr4mP/s82Cq5/rhiuSTfB7T2T/nsesqpk908AQsmO0BgOR/z417/Oy6+8wtHREb/727/Nn/zJn3Dn7h329vYYDAZQh0zGkHkWvDKklCETSdCZt4fzg3chG8bZtk7qTL0g9IllWXZjZPuc+v2VjJ41w+EwSFwZHfePRFg0VC8GQyZ7Y5L9fW6+/W7ITGgaHB5hHXWtEQ4SJKlMGY3HrOolg0GGkobJZMB0WgUyxvqYgSqDMXiaMZ/Pmc1mFEVGno3RukE3NVmWkkbCVWtDmhpSlUTi2HJyOmU2m7E7GaO15uqVA06m9+O7lFFXGud8NDUP/fimzJ/o+sSuX++ZsDdN0xEhLgZhJEnCcDhECEFdB+KjaRouX75CObjByXTKwaUDpBIkLqFpViyXS4QQ7OzsxPEmPKe6qYOxeppRVVVHorTjU/uslsslq9Wq80lpSRwhRCfN1Y5breyajf1FGL+rbrz+wnz9i/JZyyCvGRY2kCHKUKgmyGTJmCUiTUeEKKLpb2f863vkiO8+24zubwG1dR+8mTuxjiM+G6+5DcH0i9jYZhsc24Yt/Dl//SDBk5swjN8ccTbkYrZphs1j9Cn5ODqdC/KdBwRv3+nzyzprs08lbB63v/VFALVYa5kLT+Jdl/XhvMBiMF5SKol1KmTGR2JEe4V24XfjJTYKsHTkSMw8klteNF12gFjXe02KrG9nAHZDpmmrZ58JSy5Du86lJZGu843cvgeiRYa3jnv2TrL5OM+7Yefu1DvPmZNv/R1RrDZrxHgRSaWQOZJI9+eGnPZwxl72yOcLsvmNf73sEC86Y/qL8ybWxzjvJomtT/u/+62f5x/hh1C6NtxeaSRAWqN1tgjn9saLtr6i/2f8zNNnZ/tNtYNht7ojB90+Qeo0Zo50/iLxzfvUMnObxRMBZ3GWzP5B7vd5uSh/Tq/JI5dP6gr+PMvDnslFz2ydrRC+bEfGNoPJx75ZEDzEHOCERfq2hTucsKTCkWC7DNQzpIcA6ddBE+ul0noesf6LtsGd6bI3dvP97eJsQvTJkbip2HpuG2TDxU+wt5rb+qaduWzPFOK9Ou9161Wqux/xqzYL17dsyPb7/s8uJ7J+vttZmbHj788YP8279iNNjHgJKlHspkOUgz/5td/i9vffZiJzFvMFGoltgpa5SoJXhlOSlVCspECXOX4yxg4K6kRhpWKlDU2tcdrhtMU2Bu888+kCkXiSTFG5Fdp5GtsEX4H7CxKpuLz7BNcfe4rrV67z5JOXkalh5RzH84osG5AkGWlacDKdczpfMNmdMJ0eIhP4nd/7DTJVohuPtwTdXhFAyKIoMKbB4aJ8RIHnKmY0wGF5/8MPEWmONQLjThAqJUlTKusY749Qg4I8z7sozcWiwmjN22+/y/3790NUq9aUaYb30NSaRAR/A4QIkaI+Q4gEpMcJi5cOkZgQIWs9MmoDriNdo49IIiMY1/qeALKNgXCIRIGUNCZof6cq6bIbgE5D3AO3b9/m9p07fOtPvsVzzz3HV7/yZZ55+mkGwzG6WUeAJnmGTBw0RMNbQ20MWVqyXC6CBrpP+LM/e42bH97kF3/x53j6qcdIkgzvgheDNTXL5Yw8C8apofZrWyhvA7BRZDn/5//T/5G/95/+f3j6mef4hV/6Bb7xCz/P/sEV9vee4P/2H/09rj/+PCopmc5rkmzMymWkg8c4KJ7gZKlI8jGVdqQq5e79GT/zM0/h61/gwfIB33lnyU+++hhZfcTx9B5JlgEZ9+/cAQT5YA+ZSE6nJ4zHO5yczGK0v0A3Js65Q2ZPmqYURRGzAkJ073w+ZzgMoOpkMunAo9FoxHI5xwvQzpKkQdolz3MODg6iUbtkehrM3K9evxZA3+hN8c4777B/cJnJzpid3Ql3751SlgW1djRah6wQEbKggAgWWZw1+ESRZQGgHw4HLBbB9+TytWvMZtMO2LLWUkSz+TbToZV7agEnpYJxcD8abBuADF4Q62jgzjTZOZzwOOdxgmA2juiOX5YFk8mExiw5Op6yXFRooxhPdtg/uMZwVOCcIc8COC2VonEznIRb92Yk6QhkxqrRJDLFNib4BmUK3VQczk6QUpDnKXXVkChFlqgoKxMyuqwQWC+DVJ4zWLPCO83OJGMyOcBZz/R0QWMc2oJpgoG0s0FGSaoEpdYmw1JK8jzvZHzaZ9OZHrsA4FvhyIoMXUOiCqYP7vILP/tzPP3YNXSzYDwc8k9+7Xe4c2K4fbQgHT/B9956h/m8Isslo/GQp59+hm9/+/s8eHCHyWTCeJJjTM305BAhPGUhODl5QFnkXLt+ndWqoigUk50B88UJzeII6ZbkOdR1BU6BiIbp3rKsG1SWIr0mV0WIWjeWptGMGJGXA6qmwXlBnpWYpkIlisViFfqdIscsluA9MsmDNE+zBDJOTmrefu9jhEoQKsNaw7Kq8M6S5hnWr9vhYFBgbXiv6roObWwyZnpyQpYWBC2rddsN2R6Cpl5hrWY0HqGkwACr5ZI0zciyhMVyyXIxi5MDB9aT5jkizXD4CMpKsjwP/ZcPGXqB1AuSe11WlQ9EMAi8BesFEEg+KcO75l3sk2ObUDIF4bGxnQQMrE3pD3EtXvYzSbqVdexHfZS/I3jpJAnOmU1SMmYkbk5x+qTLWfLlTOkWoj34TYZ8R6L0Yj9DAxEi5mqtUTFLsKpqvIerV6/xd/7uv8lf+Wt/g9/8zd/kN3/zN5nO5uzu7JIlCbpesdI1Fk+SZyG7xhjquiFJWhI2ZnuIsDDw3mGcBRvJKSLxEd+5rAjZBG0n1pq9W++QKIqixEe5RGNMzAgT3bibZxlKWO7duc2dWzfY352wXK1oos/LcDhESBXkF4AsTTHGUpQ5gzTnmWef4KmnrvHejY/Z29/j8MEpi2oV202QtZJJ6DcWywWzkykSF/qaKB/WkjehDwl1j/lMNI3m+HjKlUuXO+B/sVhS5AllPsA0Yd6zWq3I87x7/u37kqZZzB4O8wWtNcZazHJJkiQURUGapqxWq25MaPv94D9iexJZCU8++Tjvv/8+Tz/9VMjWshbvBVVVUxQZTdNEckoxm81iJp/vCHqlggdJyIAqu+uu67prn9ZaBoMBg8GA6XSKc9FrJpIeHakf69tdlzExI+Wf4dXOF+WHWiZ5zSjXFFJ32SK5DP+yGHWvYkaIokd8CL9BjmwDjm2f3i/bmR3rrek+FT5Crd1C9lGWsH2C5SJos/99u32IcWIL8NvAvlsAYgtk3Lguv3U1QqzN1nvfbNMSazmbdlDqEUZ+Mwdk/VcfYtkcB/t1PreeW9tu1+/hIHe8e3F+0IIxAa4WHXCb4rDSYlCk3kYyRGGE7GWQyO6YHbHWk2I7v94bVT37p1g/YYEnEZZSNkySFcskozIpS2kxPoLsfrNtwPoZn3932ABX4iOK9+Qht+0T6n5RcT5E7jsXiSYvSfqm9n+OCFd3zT+sKvgWiO/dB9bP7TyS8BEPC5wDnG58vwZXH+W5boCZF7x37ZYiRsaHduR7O4Zf2/dggwxpPUVatHkLKN6sRf+Aa+mr7c3aLdo5XvvPt0Z9Uf7QRQJT4HFerGVzxSf1FeeX9v46os/cmfHg82xQ6zr2x5u/SOTDdvlByaHPuzwqKeI3tu8h9n7jl+5pe9gkSKJ0W9jbk4uGXCbkPmXlXPSJWrf7jbdXEMfazVqJzVPHz/pBGJt1P3tlHe3Smy20x+kDSFyYifGwZ3l+9onYqoXfOojo+pmuzwDwvssQaw3Y2+P6mCnWkTzdjflnr3RX3Z+4hU/inDWSJv88ma8rGQBUYRxDIfnou69jpwtEmrDyDlFk2FVDLhR1YyFJWLkEl5XURYIdD3DjAY1UNM6zOJ2jrYcYja2dp9Yabz2pKlhWS7wzrJzndDVDJJ6r1y/zwrM/QyJSDkbXKJIhs9MZf/Kn3+KNd74XGqwq+OpXv87ueJc8LXjn/fe4ffsWBwcTrDXkecbf+d/8b5kezSmzEc6BxJAkIZIgyzOc1RHoctSm5sbHN/AixfoZxaAhL3Y4PlnEgU5iGstodweLp7YaszKkWQZAVuTs7u8z3tnDOc/JyQm3P7qJXdUsThdkWRIGSdPgnUEJQZqkWJdgvEc7jZcNnhZkjRrnfp0iLmIuk3fBu6ONYA0tObzGYfsISvUi1I0xwXg9/l1pDUKQxOhQ5xzvvvsu77//Po8/9hg/9uqrPPvsMwwHRRfl6/HkeU6eE/S6XYbRMBrt0DQrFsuKRGUcncz5B//gf+KnfuLrvPTy8+ztDbFGY7Qhz3KyMgdvuiwSAO/X5M9gOORv/ov/Ir/4S79EORri8chEoo3l57/xZf7ef1qwWKw4uPIYR7OP0V7SaChHl5g1A2qbYm305gBOTjS//7sfc/XqY3xw65R//Psf8Nd/8QkujQ8YutOoc5/y+ONPcePGRzRaMxnvcFituP/gPqtVw2OPPY5zIRK2KFKGowFNU+O96yQ7miaY0+bRrLZpGqqqikBT2pFT3nv29vYwjQ7G7KsV4/GY5XLJbDanKEqqquL+/fvs7++H5+cdg8EA5z17+3s8+eSTvPX2jQCiWotK1xHlLSAUJEcamkaRxSyVIG0T6pCmKdVqFSOSiy4St637cDhkuVx2xxNCRzDfB7kov/bH2PbOaKOMW8+TkGUT7oeXQf4FTxdN3qbvl2VJlqbMFk2IthYSbRpkIvjm7/8xwluk9CSpYr6Y0RgdfFQay+3bhyQqZ1HVOGtJkzCKLZYngGdvb5fnn7tGmihOjo85PZ3SNEucEWgd9OuTNEU3Okh0IRBK8KXnnuQbP/PjvPj8s4yHI5rGIpOSGzfv8ru//8e89fa7aGfJ8wLnDcY6mroO5E+UcWmjrGEzU6QFIlWikJkIfaPJMabhiUtX+dpXvsr08AZ5mZCmE65ef4L3776H9nB6MgU5YHd/h6qa8+D+fU5PK77y1S9z//ABH37wPu9/+A5WG9JMUhYpTb1kPCq4du0xjk9OkCqAxdY1JNJiXcWgkCxnhzFCHxrTsHeww4NZm1kgMM4G82W7bgPGOi5fucxiuaCuGwbFABHN6L0P74HMEqRLQ3ZYY1AqRxsNIsFZuHvzAaODnCLLgp+QthTDnEW1xMe22UpleR/GKx3Nn3d3d5nOTtExut8S2mKapFirg0+FEhhrmM1m3bG88UHGb2+XsihC1iIBaJ4vFtSrkNmnkoS8LMMkUoTvrdOkWbEhM9f2t8YYhAqgfSIl1luMadBNRZqVNHUAtJVx+DxEsQfvHmK/KLuMCO/bWCCPiICIgOBPIUBg8UQ/lJhF4ozh5Pg4ZKhZQ5opvHVB0k+prs/1vs0OEBu/t2V7TdgRHWHn2G+Hscq6KJnYjl3xGbTtvSzLMG4538kJLhZLptMp+/v7/Fv/1t/mb/2tv8E/+ke/xq//+q9z/8GCx69fp4geJPP5IhA+UlIUOU1jYn8TMnukEt0YWDeBdGpB+u7+siZtIJCr/Uyu09PTmGEQ5KHa59iC94NBgXeWZV1RlkM0lju376CEJM1yEqlwxrJqQibDeDSkWlVR+nBGkhsODib87/7uv8n/9T/6T7hx8zZXrj7F1554gnffeY9lVWOto44kwJX0CnmS4H0A+fM8xRMlBUUSyLR4nUaaaLDuOJ3P8SJo07/2xlvMZ0dcOthDkmBtzLKqqg05sZaoDdkWpiPH2ywtYt8uZZALbUmXpmk6wqQoClarFfN5IPgXyyWTyaQ7blHkzBfhu7IsmUxGeO9jBoroxtBWMs1au0FwtO9WR3pGsqsl4YN5PYxGI4BuzG2DPDx0MmBtJkkgdcxD58ZflC/KRWUnWzHKROfzkElDLiypNGuwuiVFWAMUa7msHiByznq7DyR/0nK8BTwFvreIv+B4F5ZP2qK/JI5SXkSCRKzBkPW2cRHdgTxn4bsWgOz269ALNo7Uw3K6s2xIi2yB9bIPP/W+8t25zr/WhwHHD4cDzgKeZ89yFhKTIkbwxmt2IkirKhSJcFhvcch11shWHHBLZqie9vdD67mFIG4Cc+GTVFpKpdlJVizTnLnOSVWO9grrWkBpvcfD7ybnt9/20cS28UlQS7/1PAzYb5+fcwIrY+aIk1ghcT4GmbTn/RQY13n1O58c+GwH8+c310cvPa7At4SI73muBAcCOimtz2gk3L6LnwRcXkx0rN++NdDoz2mH9D6JeMgZffueLFwEgPsEST8/5iJIt/3rzHn9mmAKfZiIkljr+9CeW0Yp2/CFRERJOidk5w3roqfbeeTlhXU4r4hP3nZNIP0gZbM/6+PkfxGh4b+IdbqoXHQvN0YwAcSxvP+OONZvixcCGRlmKTzCexpvaISmFpqFMPFdCO8kghg8Ed6lLjOqe1d7bfPT8Gyi15/2+qGWzNz0L9tsvedmAn7Cufr79ecja1Lk7E59v5HNOUb0EYp3tXvFN4bq3n6fqrLbdehfwmc9zg+ziM3G2fWhbT/XYgGPfsQfaWJEN5qj6TEH2YBb73xEfThlpxyy1BVyWLLSmlxlCBtuj1YJC5UgRmP0MKVOBY3V1KsaYxwhSUEisxyUwsiGRgZzXF07RDpiZRuW2vLCSz/Gq197id2dAlevOLl3RDWb8mBxj739fQ4u7/O10de48/E9dOO5vn+ZxjhyJZke3ieXknq+5PEr1/jpn/xJUieYFAOwLgBMEiwG3dToZoExDUmicM4GcLCxeKVwLmFZwapJsKIkzVKMrfHChUhK55CJIs7Iab0+jqdTvBOU5ZBGO65ce4xxWaLrGmc077/zBs7U1KsZWAe+QFEgfIpAYnyYsLUJ0ipqnVtnI1gF4EMGhmhTgVuzXgAFiE5bvdN49w6ZJjTWdMCQTJMO4HLQASXGWt557z0+vPEhTz3xBC+//DIvv/IS5WAA3tM0NcZolIrSSYAxFpUmYSnmHEIE49tv/uEfc3h4yCsvPc9j1y9TDscgPd42YSmlwj30LsgWSaUI+i4K7yzj3XHIeHAWqxsSoTi8f8zXvvoCv//H73HpiRcpBlOmMxeeGxnLSpPnBbVpYlaMxNmM2dQxnz9ApNc4beA3/vAjfuWnoZBwcLBH04R78PSzz3Pr9h0Odve4eu0qq5Xh6PgUpRJOT6cAFGVGluVRTqQhz5sIDq2jaVs99Pl8TpqmjMdB0qSu6w6AM86SlwVNteqkSayzeCE5uHyVNA9yQeOdXZbLACRlZU6WJjz91JPs7e5ij04xVpCopGsfzjmcDP4a1lpszEgwxpBlWZfBUTcVjV6xt7dHK3/SgsXz+TwC2mvgM0Qot0Nyf0BbEyPbkltJspZpaaPWjXeoREGMnlEyRhwLIhhZM59VOBukrMBxMj3i23/8Hs1qyXA4AAEmEjaIMLkfjMbgLN6uSPBgDZcP9vjJH3+GJ5+8zuOPP0ZR5iTtu2Ety2qJNZb56SmreoVzjunJlPliRWM91lmeefI6r7z0JKkw1PP7pNmA05MFH7z3Lof37gVQMVE0eoXWNVIGz6GyzKnrOvjNRBCuLS2BBXTvZNN4jEvIkVBX/KW/9su8+b0/QdsTnn3+eWam4ssv/QQf3pX83nd+m9pVXN5/nEbrAGKmOfNqyZvvvMlTzzzB/pUdlssKXEqaSqrlKdbWXLl2mZOTE5pGM9kZUhQZk8mIF55+hn/8P36H8mBAmglwwXze6obBoGQ/G3AyO0YlBVlWUNd16AA91Np0mVJlWbKqKmyaohLZkWMOj0wcSgm8DMC9txZJiRMWnEOJlPFkH9Mc4U2FVIp6taTMc1oo21obNISVJE0ThoOCZVWhrWE4HLJYLnCE6A4pQUgPZh0N771HNw2yCP4l6SAnS0PmkFECJUM2nVRB1sw4G/2hwjNcNU0gOKwJ2SJS0JiaRtdddoa1oe/GeYSKxIYHG9/JXIgoxxe8QIxtyLKsIyalEAjhem+ZDH2+B5wgBKWtI+C8CPIBLmY84EB7jbVJRwh4bwhRbJuLwjUR0sIs3RLzzOTSC4HqFu3raV2bTdGX+hLtNnKdEdb3wXBGI4SgGJR4H57hfL6gLEv+9t/+X/I3/+bf4Ld/+zf57d/8LZbVMvog5ZRlMOKujUVGqSdoyQ7XXU+apqRpGjN01lJ2fRKkkzuLf7f90HJVkcasgiQJJvDtu6q17rI58jLj1GpUMmdvMkEoweHRCVWtGU92gx9J0zAoB0ynJ8yWC9I8Ix8McMBf/Su/yH/79/8hKjFcu7bH3TsZxSDl6GiKMJ5arwJWKlKc8yiVkiY53hqct3jvYt+adAS21posXndd1+T5AUWeMBjkKBHk3oRos2ZNRyy0bSFNAyGaJKrL1FgulzRNQ5oGn58menwkSUJeFLgYPHE6m5EkCVnMpkWI4D80GDAYjzianvD44FrMXBwGLxjro8zVOnOlfWZplLxrz93WM0kSjFkT8GHcs2jdxGtSXdZi39epfeZN03TvQXv97fdflC/Kpy1jtWKkZOfHEH4alFhr2gdQoidsI87C8hetM7uFdA/DOL+s+/YNgqF3JNHf7ML9P6lsy3ytT3QhmfAJAOwmBdJ+2M4re3ks/iyg1BFBvXvT/rTtd+1J4hfuzJbbdeHC77e3O1v3bdh2+6gtPLsFOIr1Z6L3oNcR5x6kRzjXqsjjto7a+iiIjT0vLv0Moc1aC5TwjOQKm0i0lSySjNOkRDuF8AqzBWZvgFVbV39REb1fulb7sLbSawvnS6T0TivC9dkopRX+RYLAi86k/lOXs49y86sLyYCLSjuXap/92eN+qnp1YL7oMkU619IeUdKSI+deyKPU2l9Ejqyf47q/OectEeuvAqkhzmyzeXHno6ftjHWdgUWXMbKWlrvouOdlbrTtun0u67muXF/KRq3WeWsuyKN733scsb/3QYruvPpzznjwsOK7OkLfbbbflgQ/QFs6W0O2CZK/aOXiHv3zPX6/fBZY+6LjPLTeW++Q8K0TcWzBAhIcIga3DWQT0RpB7VKWUlO7BNUpDWy28fbA233qo1xf/75Hujlkc9A7Xm86sj7H1tE/64Prmv826bBZ1mKd67Wv65GH6wysdpN1n3TuxXyG4umRXJ91/Pkhl1DHzY69xaCFWM8q/rnJGKHWXLp6BXM0453vvoaulggkZBkrY5E+AWTwDRkULJXADHbw4wEmEWhl0d5TW4tuDIoEZx0Cw0pXnK6WNASfAGRGIkuMzRjv7XNw5RmqyvPe29/l3kfvY6sVT1x/EiFS9g/2eHB0yGA85InHn6Wa19jGsLe3x3hnwv7uhFu35wzKIS+98DJFOqBaVGRJFvSyvccigsSNB5UIrFZBRqtpWKzmpGnOsnHs7F5C3ZnTGEjTIdYZpMpIEoFuGlQSwSsVoqSlCJJAAfjNaBrD9HTOpb19VrUlTXKklFy6esDXvvo8unrAzQ/f4/bN2zS1ZlVLnFUMsgHaS7yU+DTIZgnRAlpB99x5H16mbsSjN1fweCc6QLu/0O/LXWybYccNAoCOIEtznLO89+ENbnz0Ea+//jovvvQlXnjuOcbjcTRK1dRaIyWUwwJda6yxIULVgfGCIh/ywQc3uX/vHj/+ta/w8isvkmcSobLQsff8L4SUQYOzzRxRAu9tmNhIz2I+5+jBA+azip//2Vf5nW9+j1QKxuMx8+Uc4zxNVTMa7jFrVuR5htFLMjUACoSUJElK42G6mvNnby35xZ99hlF+n6bWmEZQrWoGpeLKwSWkh1XTkBcDrl4tmUwmDIdDZrMpy8WSPEaztvJTw+GQPG8oioKqqjg+OupS/IaDAXVdc3R0FECjLOimh+jjAatlhXUOhyfNcrIs74gEqSRVtYjnMVTVktPZgmFZcPnSAXfuHOKMZakbvCjDwkqsDdJbSZ8WaArtKPiQNBGwEgjms3lPj12yM9mJ0fZJlPgJEfNaN53EjO9lC/RNqNu217bDVlpFCBEIOa1DppWz4EP2SdKT+mq0Dt5CXmC0RusVTbOgKDzjwQAPJGmQtpOJwphgBD4cDpiMRgyHA/b397h6+TKPP34NT0NeyJAp4xoarcEK8ixlMgCPYn+8FzxIypJVtcJZT1aMqFc1UjTgGoQ3yARW1Yy3X3+f73z7e9y5P0flgyBfh2Bnb49LB5ew2tG0GUGxtFJ2bWZO+3xaXxMvJKlMWM1P+frXX+Xe4W2OZ1OuXhng9ArpliymR/zSz/0cSz3gv/xv/ydWaUVSDEizEdVKkxcl1WrJBx99TCIFKIlMYFEtKPKCa089g0ThmhWOJUmaICX82I99FWVPSdMEqcDqNtLJ42yINrm0t8frb94ikxlWO5RMoMsQSsALTk9PGY9GgQx2ljRto9NDll2aJbgGRBIMx61zYRHsNMiUppozPZyxt1/SNNPwTigVvF2I5JwnEgeh3Y3GY+pGs1jMyYuCql7h4vuD91gTyDMhZSSVBSq+t/jg62TMGjSVeKzzwYhdeYSQZGnKaDwhy/NAYPrgg+AIkerWWaQQWB+8GNY+Oy0JZpFShYhQ71ASvLc4G3pA2zQ451CqNQRPgJDVIaXsiJB2ZeZZS2aJeE/CajhMTaVUCKEYFCVKCKSSNCuDEpAo1RnL9RGMbU+grv+IpfUWWk/N10SI3xpjtn2svQueNG22wcbCMrahoixx1mGs4fadQwaDAf/yv/w3+bmf+Vm+851vU9cVdd10BtsuSi8GRaxQn3APCfdPyA0wvX8trTfOdkaCEILBYBD655YUcY5GN51Zu3Mm3GoHxjtOZ3Nu375DnikO9vYZDYYsl0dUiyWVgOn0hFe/+hUaGwjMrMypmpo79+/RrOb87X/9f8F/9w/+Id/5zh+ijcU4SVEGMqb2IauoWq3wzjEoiwBmeEmrk22txRoXSYSQzZkoxWw25/atO0wmI65fPaAoU5xtKLIc26wzMNbG9K0/x2ZGTZBWpJsvtAR7K60YpO0GLJfL7l622SFpmlIOBhSDkstXrvDG669z9cpl0jRlWVWMhiOsNR2hA77LbC3yHCVV52XSPp92bGwJV4C6rrvMkDzP0dqwqkPGTpsNiQsZZohWyjBkLgogSROyLOWL8kX5LGWUrBiqJHiIiODFkAjbgXUtjLUmRVowLZQNWKsDdOm+7cNS2wvp8wGVs0DW+vNPXsx+0mL9IgBqW7hq/cVF8dH9fc8/j4DYx6/P2BEdG8B8a0B/liDp57D0I9h970iftrSBA48OkmyPrb1nd0YyLHwhvUMJumhzG88sZZDbdLhI8KyPHaS01vHEcYX10Pu/2YbWrVHhGMqGRDi0k5wkJUdqQNNmGFqx9lW48Mjr631o2SAbPhnNFY+wnfdt6GDwFjEuyHtbbMhy8qLL0HnkVuDPVnVbUeyzw8f9nmDjkI9Ur/BjTYB4f5YMsWeIkV4uxadAedvnuS131/Zz/ctpZXrE1r0W/e3jC9Fuc+GT3cTrWGeunJXOkj3poPaYG7WNz66VJ2p7x7a36PFM8VxiKyxw41Bxi4DTqBgl7xEkWIKXpY+1dGdudbTa7N2TRykRx9nqD9e1/Syw/cPP90nyX3/eQO8P6/zdM9l613s/PvNxL6b8HnI9InpB9baQPsopeo8XGiVDa61UysLlNDJBO4UUHrsNH7K+vm45uV2LjUqeHTX6n/QzMzblrsTn/pDaeZMX/fdgaxu/nhWd/a3/03dm7L7tk2hltCIR9VnZxo0b/SnGxn+KpbtP55BA3WypxR4+Rb1/pImRncEQaR3zB4cc37kTgAHraawHL0lciDxoUsEykVSDnGZY0igJ3mIay7Kpqa3BowJ47iSFV+iqxpoaXwga5RkMJqTJLnnMyvjoxjHf/fYNMpYo03D14IBrVy7z3o0bFMMcnyhef/s9nr76DAe7l5ns7Ebte02WhYja6489Rt1Y3n33BliL0Q3eGKQA4z0yUeimJlGCqpqxrBZY27B/+YBiNEbKAJgkaYo2GqkC2JBETXhoIxSjfAMCSYgi9T5EMh4fn+KtJ8sGVMslzkM1XyBVymCQs3f1Ck8/nrOcXufw/oyPb57w0cenrMwSXVtkmiGTFA84G8wanXOoJMWboGkffKuj1uaGeXSUWdlqsW4Lqeqip+Nm3hOAbkI0t4jgoRCCm7duc/fePd584y1efPEFXnj+eXZ2JiRZRhU1xn0SopyNNgiSYPSuLcJJlkvNd77zJstFzYsvv8D+3hiVCLAeoSQuglMqSSI5EgBzhcA5w3x6QjU7xSxmuGbJq1/5Ki8+/ySvv/cujz/+MoeH7+Ma8HYFYkGqoDGeRA6D3r1XkOasao9ME7za440P57x3y/FzL1+mlEtEodi/mjM9muKqmslojFeCZdWQqKwDg5RSDAYDGt1QFDllGTxWTk9PgWAG2/lIhCeBM0H7fLGYb0Thtn4eSZbiCNFgaZrRGE2zqlkulwxHJcb4DgDdGY25++CIyWSXV175En/0rW8jVYZtNHUtUWnegXytnJbrERbBKDeAsGmaUlUVmhrhPUWWBVBNKkQSwCaPAOfIshwpAxCoBBR5im5sBwDDZkRukiSdDAuxrQoRiEUTHKcRhIkgKgDYRZZx9epVbt78mNnpPJgoiyAL9OqrL7M/+ip5ptDakKQZUiU0uiHJMoQMUll7kzGrVUWWJCRCoE2FNg1FOuDB8SFFnpPLYNCdKEutKwSQpTnCr3CNZbU4RQqFbZZYrRkNMqrlKVmWkKocKxV5loYFa4w+T0SKEIq61ty9cx/vQgR1XwKmlTLbJii99ygpEd7hm4ovv/QMTzx5jQcnd5hcu87tww+RwnIw1sGjycJf/YWf4t23P+K733uP0X7BatkglAQJ5WAXHYFGIR1ZHgDE8WBCmkx4cP+I+emcwShktVy+vEuaKryXUaommAUqROxPLEkimR4fslqeImRGU9d4H7wIhJRYYWjqBiUFo7IgyxKs0wgZwRzpSICmroIhYiZoJF2GUugzGhAZzWyFHQ1RKke6BuejXJIS6+ANFwhiYwyZlBR5xqJakhd590yklNFDyseFSGhPG32jENFnQIeIrvhMpRQhk80FoFd6j9F1VwfvLEmisBaM0SGrD4eUAmuDt4iUYG2IXg++PzGV3ugw8XIOYzWKFAE4q1kuFjR1TTEoSZKURGVhMWUNrfeEaLViRcioCoutSMSgUImMJGPwN8myDGdtt+gKckitrf3DS9tO29/bWVE/O8THY27IC/T3cWE7JSIh0jtmW9r3Q0iBEgkpsKprqmrFZDTiG9/4eWazKYvFaew7QrtJRPDsCkRQINMDCWtxkSRo+6fOYyVmN7Sf9/srCASmEIKiKCjLMmRGmVDfkGkASRKW4FImlIMheVEynU4p84JLly5hrONkOiPNQmDG7Tu3GY+HiDTh5OSINM9QwvNH3/w9hrsHPPH4JT668XEgfqxA6zAFlSqQWlWzQtc1iUpQMiE2p5CpKYjEXgD6nRIgJau65v7hA170L3A6m1EWoZ3VdUMqk26sasnw1arqAhNa6TFrbcgSycesVjXOui7rR8ogL3ZyctKNN0AnLdk9f4JXyP7+Pt57pqcznnjiCRaLBdPZKXmabrQZ5yxlmSOVxJpAsvSzF9v+s82KFUJgjOm8saqqAinIiyBpGfrBSA7qBuEhCcwk1mikFCgp8dts3hfli/KIpZSaXIZ+OZj9xvhssV5Mdjl4va6vD4i0C/rO9Bd6i9MAc22DfP1yfm++/Wn7Xl58LWfAn3PK2Xpv4SVb5/50sYXrvVsgs5Vm7H+3AWiINZgJvpPEkO39jBtHwdkOTNoGPj9N+ZRw+rlF9H/prm/dErqziLC+JoIzNrarvpF2u58Um1Hp59+182pytkVJ4cmEQXnLRFXsZwvmrgAB07oMPidOhtnVGXJkfXc3h/tzkMX1Azznu/P2e1jZBOUh3FpL8A50Xq5JA9HqzW978jxKaduQv6ABfdq2cX4rPAtSnrfNmtwIZFAvpjfKZ9loPu+8wLq+nJbozvFp7/EmCBlbYXwhO+k8Ef4StHI6G7uwSW6dgWIvLP1WvyFJKKAvn9V/m+juCZGH8WuiVPR7ELayaTZrtw0Jd2SB6OLNI+kSvEi7e+Nbea8Q3OLFRWf4wYrvXfHZ+v6gJdyhi0D8z/dcj14e1rt91uOd9+EFvdcnloc92f59exRypH/e856zAhAWKTyOml1VoX1QQnBeULsEJ+Kbc04736zH5vu9fv79rcTWzlszBEEvIOHzaeOb9RVbJu9nryjGCHfXsq71em0ekN2W/GyzJtZ2BpsG9J/hOro6xjOfm/L4CQc4Uz7f+9lhLH793LvPQyfWtbt/bjJGHJ7CSz5+8130dM4gK9DeRd3WoM/ZSMkik+iBwg4KXJZSNxbrNLWuaayhcZ6AXSmwjsXyFKUko9GIbLdADQZYJhg7wDYZjfYkomCYTxDGkkp49unnuHXrY5bLCpkm7F26wke3D1nWjq888TRpLjldHIOBSld4BTc+volpPqJeNuRJhhQWaxoEDu9TkqQA53BeAwaP5vKlXfK8wDpLbS2JTEBaHBohkhDVrMPLI5UAF2RWWhLCW4+zjkQqmrpmfnrK7mQn6L87hVApjbYc7E1YLCrKxJE4w3hQMnws46nr1/jKlw03bt/naLbkrfduMlt6VJqjVEqWp9G/olmTH/HeBoKEoDsfATP/sFVPLGES1ZttuQBseQHetS+sAOFIlaIxltt37nJ4dMzbb7/LSy9+iRdefIGDy5eoVysWZokSAZjzDqwJUdeJSrDeMlus+M733uLegxO+9rUv88wT15FJil6tULnqJvKeIAGVyRRnLfdv3+L+7VtMBiWDLEWIjHq1YG93h+Pj93ni2ZxUJaycJlMOIyoSJbDW4a1A+BLvQONIyoJFtWA0KjiaD/nmt+/z01++hvV3SdAcHh6BhyJNODw6ZOk01gStRudsd1+zPKOqFjiXUtdBSz3PM4piAMB0OmVYBukx7z0fffQRzzz7DMPBEGN1F8XcSoa0WvvWWqSy6Fp3wPrpdBoyEKzGeIu1moP9PbxIeeG5Z3n8sWvcuXtIIgXGuM5E3TuP0RadBNDXuQznQvZG0HkvKPISozVpknTa/1mWIaVkPp+RJCHLIkkTPA7nRVfXoLcfnpkQMoDD1pHlgTzyzkEHNIOxGm8iWeCDF0GiVACoAvXHslqQZRm6bmhqgzUeXWt2dyZ8/euvkvo5ifRobUO2iEqoVjVCQJYnFFnKYj5lVOSsqjm1syip8FrjTYYSAtsEo+5xOUAKQRM9YPSqQlvLeDCkSNOwuDANiXJIDM42GA1FOiDPc5599jk+vr/g8PT7OBm2917gnaCqK7xr5WHWkent721EdfuZiabdXi/5ygvP88JTzzJfLFn6ktlc4/yYd96/ye5LgiRboas5SMe/8a//C/w/p/d4/6NbFPvPsmo0XgqsA5UWCKnQ2kaz+gxrU45PlhwfL0ikYjLZZWdnQJJKnHckSRo0rLUjkeEzZwMAminFvTsfozDoeompQ9afNZZEBtDbWo9pGpqmpiwKFosZxmjSJEOp0D4lAYSW3qHTQHAI04qzqbCI02BrR1HkeFEHua0kgKxtfVpyQilFmqSURUGtG5x1DMoyyPyohEbYbmLTLWo8awkAEeT/Wp+SMKfzEWxuwr0UEgTYKP3lrMXZAJ5LJZC+XXzGSVWcgXnnkDECX8TJohThnUJ4vNMI73BOoxIVIkKtxsWsljS1uNSRpnno9yOsg7U4iFknodJS9fwzrEUbEGi0STo5ug1Cwm+DFduL3N5Y0SPxxHrl2333sMVBS/w9tETCFh+k9ARiI6tq1WikgLwsyfIMaxt0bUhTUFKGLBMTZM0CgC5xziBk0tUR1v4ZTczOKcuyIy37xuOtDFfI2gm/A2gTjMU9AVgPvk2aohhw6fI1VotjTmczdvb22dvdCe1dSsxgwNHxIUkqqfWKDz/8gKuPXWM0HPLz3/g5vv297/PeOx/y9a//FG++8wFvvfMBaTYizQYx44q1DJlfZ3h6HwhARwDLjHMB4Pce53zMylgGLyE5QSWSMk9xRqOtRikJyEjw2Q3ywTmLtYY0S4O8I8FjpF7VG1kh/cy3dvxIkoS6rjsPk3pVUxvNYDDg8Scf54MPPuCpp56K73H4V0TpSa2D1GRT1+ChLAbd82kJkbasva9E14+2z1YI2XmNtH3tYDAIBu6rmt3d3Y4cE5EcbWUfvyhflE9bgnRWAABaM/X14rEPy63LWQmjNZCwXnifE/XbIU/bkMijADSPspR92LE269hCgmdhzfW5PktGRj8uefsOrWO72217UlndJ76FYsMnEQh1tOTI+pifnRz5nOE/sVUjHzNjfQxhEJLO188HD5IYh74BUbTSQecBeI9S/f7zDPc7EC1D1XCQLdCkYT7kJCuXxLmvvOB463nGurWvQbN1u4ltfY0pX1D5R31K7eJk/Zf3AfCKgptr2Nz7tTzdZ0J1P992cOZ+bZAi58zPWBMjfbmsNkvEsuUx4iQ2AqLOr/d9JJf0C2rRtZcI/ME6MlxE8sPHGWz4OvZ+7X8R0XyUCGSx8a/X14r1nei+7z9/RJfB4eLNlUKuv/V0RFm7z3YfcdH1b3/WktiuFzAk4jxa+eD75uK65GHN59M9kfVM/IdHivTPt31f1nfsz4sc+bxK234+8SIe/vg2N/VtS7v4nBeNpef15eevt4iEnCfBRd+RBiOXiCS8G8ZJljYLfYVrPW/6QPhDroFw7IAH+4135Lx60G0lPtW9+jTF9/qbM6+T37qPWxXwsW8CEUnLtVC8IKhHuF7/5Gmz3j7jlXg25DLhEdvZBuFzdha5PtDnULoG1p9nbWc890MxHq38SK+uJju7HN68w6033w1a9444IZMYBE6lVGVKNUiwqcSphMVihUYGI2TvsEi0tQipWCxqdG147LHrjIYl1q3YvzzheD7nzul9jF9RJgcMswG+0RQqpW7gySefYlk7bt66z/6Vy6RpweVL19jbPWQ8PsAnKZWuKUcjvv3dP2FeLdnZ28VoyMuEPI/ZAhgKVZAohXAZuCD/4nyDtTXlMOXKtQNk6lk2q6BLn4KUjqZZUigVB08VX3bRRUYmiQyGrwKccWRpwdHJCYlUlEUZyYsAXqg0IUlz3njzPZ68MmBvqLi2N6JIPU1dsTOGl0Z7kF/mKz/+Ah/cXPKd777FnTv3KMsBZTmgXmmUSnBOhgmGEHFmEaf63uFF8B/ZjNjcLH0wC7YbtwigC3Sgh7UeKQReSLS23L3/gOl0xve+/32+/OqX+fKXv8ylSwfMZwuWi2UE0iGPGQO6tkgvsB5ufHyXw6MpP/v1V/nqV19CqZTgQBx4WhWXOeA4PrzP/bu3GeYZqQyeK4kqcC7h6HhKlhe89/4HAORZQm0M3i1JlMRJQW0EngaPxTmB8paiyFitGlK5x1sf3OPdm54ndyW+OQHhEN6RDsY0TrOcVwwGQ1KVYa2lqpaUZdmZ0p6cHHNwsM9oNETrtRlsa7TuI3AzGAwCoOQsVV11xrInJydBaiSSEt57pidTJjt74DxNs2JnPGY4KDk6XkaAM3jMCCnZ293hmacf54P3PqSc7DCr9FqLPfPRfF1jYtRtK1lijO1kYVaeKI8VzG+TJEFrzXAU6tQ0DUoF4gPWxuGtRnuWZQgJJvrXZFkaCZ6o6a9iFoLVeB/0/wN4F4B0SYgikkJQlgW6Cbr4EonRrpOIsbpGUgMW2xJ3HoR1eCwHV/dZVUv0aonCIJxjWA6oVw0KxWqxQnoVMhm0ZnG6CJkFOgCNZVlSCIF3nkRkGKfZ3RmzXMwiUK0YDnfRVmGc4t7REbNFhUpTrAvm6coHYFLlEh0Buj7g2v7egnytmXN4dR2PX77EV557ivu373Ljzgnl0y9BUXI6rZDLhNffeIvnn7tMMq6YzWqS4RP8nb/zV/h7f+8f8v6t2ySjS1jrqVcNSeaQSmFNgkoz6sqymD4gTzN0s+TqE08wHpVcv36Fup7irMHLQGZ6GTLFrIvX4EBJz+zkPj/21a/w3dfep5lVDHcOEFgSqVBJisod2jYsF0suXz6gWi4CwE3IvhCAcCFyWyoQSYwIV3Q+UNYpTLNiMV1QZCVSlVgRQP1EeVpB7fb9UmlKUweya1CW1I0OflLOg/RRcqvV4fbtLCpmP6x7PhOJEQQxcjzIX61VR+nIUSFAtW0bj+97NERwXsSMqE0/j7B09d7hnEFJgWsnGG0onSd8b4MkZYiY9yRJAOqlIJDgLiTPhz5BrPt171AyTHSddRjdbJATUoTF4CeRFdvf94mRkNV3dpLfzy7pn/Nh8lxr/CICFG5tPtsSPUmUexJCoGQYj5W0DMoRWgeyQkf5NCkkIgLu/fetn53Vtp9+5kObWRAyKNIug6Q9hpQy+DhFkF7K0K6McyRpxnA0IlUO3Sw5PDzksetPAJLp6Snj4YAkk1TVEuM0V65eoWkabt78mOOTE/6FX/5L/P1/8A+4fv06WT7k8PCURoNKM7T2mDp4WJVliUJEs3iwRmNteCBSOax1yG7MtkiRslhU3H/wgIP9XVSSkOUFtTVYY0iT4KFSlkVntt7KoTWRoGi9skJftTZhb+URB4Pg92KMoSzLjnyYz+eMx2Pyoggm9aokL3Iee+wxbnx4gw8++IArV64E2SwETUdMBJIrZBf5LnOl/dn0+tV+5k+fPGmfa78NL5fL7r60Bu1tpkkSAwNWJ9OHvhNflC/KRSUTNkhX0ptPb5Ejj0Ze9McLsfXzvO0457tPKg+rQTs+rjc9B/bott2iH845mtja51HK+rib+4ruuzN13op6FbCl5d8iEv7cTMlHpZU+n3L2eZ1/5vjcRQRt8HGN0ppPy7C+FG0r6+15QSRqn6japsjO20P0vs2EYaIqTKaonWLW5Jyqoss6sE5sbB/q0TvOGl+64Gx9YLf3adf8e2BSD6g691hbU4xu9tVmivj+5z8MyaEfoPiNH9sQ2vm7tASHb71EIgHQfuZjtkzMFHFebOzzqO2/7cf6sltd5sU5d1FE0il4jXicaLfaboN9JDW+573qbLer7nPREiB+42e8st5ebYaQ775x8XCidw3rXbZ6bH9uK1tv2Q846q7GI1tfQAKG1P4mCTJ1TpydR4vu3/b48bBy9l3u98x9PPWH18v16exPPyqFI2z+/HMtjwDkf7pRbb3PQ9sSF4/6DyNFtg8i41o1jXKIUniMUyyTnLktun7ARleets32G0roZjd7h/A6t2QC+K1adm94L7vi/JyUTyqP3oK6TNGtc6zv4wWjW7xGCGtEF8mRtji/ZU5Pmz3yGceLdo3f9X9088SHlb6M17nzB3H+55+1jl2GzMbo49dZI/iOiH7U8iNNjHhteePb32U1nTGSCVJImqbGJwUrKVllimaU0ZRZMI2tNVYLVrrBZwLtYaU1UmbMpkvKwYTnXngKmaXc+Og9itQzWCTo2SnVyYzZ6gHf+KnnKdMBb33/A7ydcfXKAVk54P0bH9GQQzIky3dYHd3l8N4xCQOSPMM0mtfeeIP56RLhkwB8JipkfCCi8XsSzHEbTVPPGRZD6rrCesPBwYTL1w5wvkY7Awqkl9FQV+JsgxSgoxZ9kkRJnLZTiANdiHaVaG2oVzWj4RDnTPRWETjbMBmXrFZL7t075vTeA6RZcXlc8vILT3D12gQvlySyofFz9i89xd6VV3j8yZe5des23/ve9/j45m3SNGdc5DjjcJaggx8Ho1YuScrYmfle59q2XbkVvdthgwIZcu/C5+0sNlp6OU/QsrXh+EoIam2x8xW/9U9+h/ff+YCf+Imv8/LLr1AUJaenpwjrg6yWDOa6qypE0ed5zslswW/+7h9y++4dfuUv/xJpqkAanNEhoj9RnE6nrKZThnmGqRtEloJMsD5DZQe89e7HyHRIVTesGkvT2BgV4xFpilIZQhic00ih8XiWK8PO3g5u6ZAy5catO/zZG0uufWNCkR4yyBOq5ZKV1mRlzt7ePsvFkmY159LBAcbWaLNitaoQAgaDkp2dHR48eNCRBPP5PMiKaEMS5UUmkwmnp6eMRiPGwyGL+RypFJPJBKUUy2UgXKSUTMZjcJ68yHj+hecxdYPWDZcvX2K1WlJkGcZ7pqdzktTzMz/zk/zJH/8Zp1WF9wqjLUaHtieFDNIq1nfG6jJ6rQgRIrKTNOkiocfjMZPJhOVyyXgyZDabbQBRSoVIfaXCO+I9XVZEC061kirbYCiswWjvPVma0tQafCAVvYJL+/vs7+wgEFjjUEgkgkFRMChzXLPCG49wHrOyGKFx1iKE4+7N2+RFyiAfIACVKFJZYoTAmSVJoijSnLpeUa1WpHkZ5IaUpyhyZrMZ1jp2d3bJyxJfVcyqijRLMQauPvYc9++fcPfBIe98cIs/+bPXeXCyRMgcVMpiPg8gYpgRdDI0fd+VvtdBe79agLbIM65eusTi+JSTO3d57MqTLAc5H350j/29p/DWMz15hz/9/g2+9OpTDPczFqt32N1/hn/77/4N/h//8T/k7vEhyWCfptFYnyKyDOETsAnQYK3mtD5iPMm5/tiYySTn6tU9bt+aAja2A4eQOY3RwdzTB98Bb1ecHN/mx0Zf4ysvPMVvffgHpAeXKIucvCipmwbbrEikwjYa6aHIgqH2eDJCipQ7d+6QJ3lYoCiJKJIw2HqPX7ng5USC9wn1SgMZVjhquyQVEDr0ABLgfPDOABIVidgkQ9e6k0KCAK574RE2Ts+6DtGDkBAldHx8DlKEyHvnbTANj8S2JJBm3jlUso5cD9kn4Z/0YH1r/h0IDkmQJRMi6caKNJXoJkjWNa5BKoVzHmlDpDsiKJzaKFsUfIJcOEcqQARZsEgfADKQAq7r6LtJS5ZnpInqJtnOe6AleNTG+7k5gdx8f7t3FzY0pR+WEbLZB/hepK7vxp3uVCIu1L3tLbgDwRHMwtvIvrV/CggKlZLnDp1m1PUCaxq8tQgRsjo6EbWYbQSQSEVaJCTRv0IIAWkaZDHTBClStG6o8AwG5VrmSwjSJMx7rKlpvCMRksFgRCI8c1eTpVBXNVmRYY4a6lUIFDjYP8BjkYmg1pp7d+4xGU3Y37vMwd4V9ieX+LX/+de5cu0JhoMxbl6zWKwwxtNoS5oE03OsJaqH4bRDm+BDJa1H65A1o43BAyqSO8fHJ2H+0xgYBeKI2EalXM9hWgk6IQTD4ZDlcklVVcGHSgiMsR3B1HqCtIRFS1C040xLniRKIYREG0NVVaRpyqXLl3j73Xd45ZVXuHnzJsumJlHBxypkyFi0rimKAbPZrOuDWt+Str31M1xakjnP8/A7QdKr3we316ZkGHOzLKOOpOpwOOyyxr4oX5RPWzJpSOlFoXddXy9j5IeC9nz+gG4/SrBdRDwMuP/kZf2nvfDzjvtJ5zoLvLQ+Wmf5kfOO8k8XiuvwhYcWvzbXFaENyR5iFjI52qh/2YHhFx24/b4HfZ2pVR942bxvgkQ4RqoGYKlSDpMhhTFBlsnH4JPe6TeuUbSAWgtE9TZi87NtJ512v+4Vas3XRQTeP+lpxo37WRR9+PyH8Q59tnIxhPew1rJN8kBLipwlhAIYGuS0wr59iamH12y7np9U1q1oGxLu/QwTyvVWXQNZw/rtd5L1eyDEdu/QzxTpfR8Djjwhw6rFS7xnnckBnWTOxdfyCeSR729Jd/6QSeUIslnh3is8iVjXeE1ktcd3m9dy0VkvfpHjnlvwuu+9gxde6Q9aNsmRz3aEf0ZLr4ltrowejSj5DKcDIBGOEkMqHE2SMHcF86TAINFe0bjk3BOc6a+3XvvN77ucv41m6TvZuM1jn++WtrnFI7eDbk2/tWYljP+xiznnDO040pqtB1LE916bNjtGtNldhIM9SnbNhdXtgbKPkiEH63Ev3H9xzpefbwny3LFfBPpESNsPw6PXH37EiZF7N27x/mtvMcwKEEEeJC1LKifRWUozyFkVOSZRuNqjtcehyIY5p4sZSZYivGM2XfL4E8/wzAsvUY4n3L1/j3lVdw30iWvXuHN4n5eefYanr0745u99E6HnTMaKy5d3eOfdG5wuGtJylyTf4c03P+C1196gqSxlkXFpf5//4r/8n7h16yb7u7sY22DMHO/CAtw5EEqSJlmnP56lktnpfQajgp/+6Z9CJYKqXrJa1iSZQgpFXVuSaMSLC9CsMxovwKx0lEEJMUdZmgUT7hjtfHp6GiU4FHXdYLUnTwoWyzlKKj66+TGjwYTUevLc0zQV3/3eO7z3vuHpL13huVeehFRg1Q537mtOjle8+KVX+flv/Arf+ta3+MNv/hGz2YwsTQPc0xqVC2I0ke/WMtC+L+sZpd/q1MLPnkQKYdO2Y/BtVLIQ4FWItHJrOE7gGY0m3L59l1/91f+BN998m2984+d44vHHOT09xePRjWa5rPBSYpyhWS5RSmKl4o++/T1WpuHnv/GTDArJ8vQB1WzK22+9wc54xBNPPoFxIZNBG01jZrz41Z/jv/nv/oCTU025P6DRCfkgI0kTFivw2uCsxgkbDNzReNGgVAA5l8s5ggxPTmP3+Oi2QuaXaOZvMbSQClg2NUtnyNI0GMp7y+nshPF4xOnpSTCABrIs48GDB9y9ezdGuwqOjo5I05TJeBy8OoSgruuO/Hj88Se48dENTk9PUUqxs7PDaDSirutohp52kcpaa3Z2xsxmU2azU5wL4K1xnjzLGY9HaA37ezvMqgcIiKCS6YAq54JsVSsz0jSasgztJs9zhoMBh3WIDt7Z2emiqw8PD2PbCteqlCLLsiiZ1ZoVJ6xWqy7qtpMDi6B/G7nbtbmAFmOtgzRErkuxNncviozZbMZysQjKPw6kFxR51tXL+hCZ5DykiSQrCpJUUC1nwVTYGrI0mIMfHZ5QlkPyrETIIC0jk5Q0L5BScnR0zGAwQBtLVdUkaUq1WoXFg3NYgiTcYLDLnQenfHjjAQ8OZ/zeN7+D9pLJ7j43b99Fa4M1jiIrGI/HGGcw8Vm1GTZtpHKe5533SCv/Yoxh7+plBoMB9+/dYZTn1LMpqywnTSSNlezuPc18WfHg6Bjz3h3cB+/z9JNP4xrBcy/+C/zv/w//Hv/hf/D/4t2P3mFy+QlkkgUwU1savUIlhoP9EYvFnBdfvM6VqxlXrx5QDhRCBIkeAUGfSSZo60jwXfbPxx+/z/6k4MG9m8yXgnSUcuXSmHqlsbqiyDIW3mFNQ5ZnHB0dcenSZY6PpuxMFEoJimKEcFFWLQGRh7HCGwMG0OHZChJ007CsLHIoMSSMigG2mccJDAgZjJStNkiRkCUZKpXM3BxnLYOiZLmqgtRSC/p2QE/s7Py6s7PRS0QlCULraOKt8E50Ek2hD11P2Fq/hWDi7jtguS1thH0/c6Lts7VuyNIsEnsRnKalO8L4I6WKBKSLPixRXiqVqGjM7nyMjPV0fXWQi9IILIPBMEgmCb81mVkvTjsCQ/Q+3iodYNIOIp4zk92HlVbupD+JWy/dBLTZKL1jtlkZ1voo++QjQhImqoEwERR5yagsWSwk0+kx1hhUIs5kDoj4LsqYVdDP7uv8kQjG7LXRtB5e7fsqhMDFTCV8kJoTUmC9w9iQEeV8eM7HDw45fPCA3d1dqmaFtRrtDGVeUqiCZ599jj/4/W9ycnKX119/j+MHU1JZ8uH7N7l/OCUvxwgvY3aR7zKkhPA4YvaVFKzDKmUcHxRWCJLY3qQQ3D98wL0Hh+S5oioyZCS524yc1jR9NBrhvWc+nyOViP5ZgRxpZa9aearhcNgZn/te218ulwwGA7Is4/T0lDzPOyJxOp2yt7fHs88+yze/+Yd8+OGH7O3tcf/+fYyxqEyGoApByC5u5eqk6vxEiqIgSRTew2q1itdwNjNosjNBCMFiETIDd3d3cc5xcnJC7YLkV9v/aq2Zz+fd9XxRviiftgTTddfZXvdLF2n3OZZ2jv75r4nXC4EuG+S8fr4796PV4NOMFf0TrI9+0QEuIPLjyOJ9zKffRqL6Z/qnjMSJ3r+LynlgWdeOephy2+d5bAeyrp9MoEta/4X1sS+OPF3XcL1FK1EivSfFUEjJMKmZpCt2bIXAM/cC4+TWYc6CPxcShL0p2XmTkHbKIs757KLrOA9U9r1/zou4bj539zPFX3yqz7FcXJmL34AIoW+QHWsSqCWCNrND6IF7G0jBI5RP2upsy+3eyE8gIDaP0sKs/Yy7NX0gWsm4XrZIMFyPVIPot/LQF4T3o7WsXvdxoicPdLaIrl1+cs3XMn6CkP3svUC2HoeAESp4dRKyRpQI87y2LW8+lbaveHj/d36rWV9h2NL3dwlb/FD6vh/koP1+58+n/LDOu+6v1qUP2vvtbfkBu5s1jh8M2XHkwjBSNbt+gfaSlUtZiRTbsmV+k9gKde6Nwms4sSMW1gFz7XO7gGWJv/je/p9Q9U/IhOiRHlvbtX3Nuo5bu3b3vJf9Ea8fEQIQvBCdV1kIOIij4UVMyyMW79e4GhfVb+s6N6GLh5/70d7phx8jPKOtvjos0zf73U9xH36kiZGb338LW2vssGDhHGZVk6Q5RikoS0yZ0Xiol01YrCvJstEk2lMkOUcPjsjygp/88Z8gn+xy8+597nznNV5++UW+/mNf58b7r7OoKvJckKeWl565wh/97v/I6YMpzz33JJev7/Phxx9ipeTqk89Qr8C4lHfe/RBdWQqVU53O+C/+f/8Z7771LtevXSf1CaNywGRcMihTskyxuzehGI7J0gEgA/CSrmjMjMOjB8yq+3hvSfOMNA/RRc6BEArnBKYB7TVZYoKBfKqodZD5KdJgxl3JhvF4DECaJDTWkacpxlm8CMCL9EHSZzwp8f5DFv9/9v7kyZIkv/MDP7rY9jbfY4/IiIzcl8rKKgAFFKqb6EYT6GazSSGbLSNzogh5GJHhZa5zm8PMXzC3mcuQF0qL9DSazWFvRAMsogqoAlCVWZV7ZkTGHuG7+9tt0WUOavbecw/3yIisDSWdmunhz9+zZ6ampqaq9v3+ft/veMqZ5RXefv0Vnr+wxsHubT678S5nzl1hZ7fgf/3T73H9pW+zcfZtpO+yvTnmYK/gd771d+h11/mjP/r/onUMlITIX0ejnOoQOHs8LW5+EwrPLIpkNmjWgJSon+Ycfjb4zc2ZgkSLFoEcMZXFGEeiFdNxzvJSF2sNH334MY8ePeJb3/ot3v7GWxhjmEzHZO2UVkeT5wXeEwy4nWDl7AVu3LrLeHDAWi+lHXuUq+hvb/P1V15i0O9z+/49Lj13lbiVUdmEP/oX3+d/+dd/hZdtBpOK0oGpFMXUIFWGVJrcWoR0SK0w3mMpwTp0lGGdJdZNJkyHH/30ATe/LXl+TWLLEoFAJpqiMpjJBCGojV17JElEkBJJGQwH3Lr9Od77EA3smUXX7u7uYo2h02rPjNbX1tYA2NzcxHnPpUuXgBDpam3wzDh7/hzTaU4SJaRxQj6d0j84QGtFpCSVN0ynY+KkhXOO7a1tRtOSc+fOsL0/wBYeU/uIlKVBqeBlYozB60DyjMdjokgTxzGdTockSWaRuKPRiKIoEEIwzacsLy/NooGNCT4rVVXN9P8b6ZLpdIpSaravRkqo8dNoHt4ac2NrLaas6ih6T6QiOq2EMs/ZHE4py6DjH8zfPVmSMBwckMaWykyRaJTStNsJS90eSaK5d7dPmY8py5yDvEBFGTpOsDi6y0sMR33G0wmIQJBESURP9ijLksKWLK+tsLa+zt7uDofDQ5TWpO2U3BiKUUHlIoxMef+z9xnlDpVoTF7S6XX52htvsrq0zAc//ZCdnV2SNMYWwcfl7bff5rXXXuPOnTv86Ec/Is/zWYZNMB63JEnCxYuXGY93UdKg8ZSVZ/v+TTauvsrhwLA/MYzyhKXLbzD2D1hu93jv3c+5fjbjnR//Ea/89h/wf/2//1/4f/2//0d+8sOPSJau4ETjTVAiKMjSNs9fe4FLF1f4e3/4bT764EOSyKMUGFPQSmKUjgPYriKcDVHY1hg2H92nlfX4/OYHPLq/z5WXfpNYC3b6e7RabVq9DkU7ZXMrEH7OOtqtDu20zfajHVZW11jprTAajCmrEo9AxjHSOygsKItw4ZghUwUO+0O6SRudtMmLbURNelVliakMUd33hJjQarfpdDu0sozD4TAA2R5EExFfe2zMB77wK4yFEkvwGcjStCY7XH3uIQpdKRVkumrJnxA8IXAOvK39OzwzSZ9wvwRyRXpfZ44EYCOA8I0XlAtZEmI+zkJDSoNrPKVwVKaYDdTCa6RuzMTnxnBNZkWQUnJ0u63at4MwBxIIB+d8APaF5ORV2dG28iLIXIU/G2RGPGERNqM85uBEE9q4sEUD8MgG1JaPA4tSqTCXNdlXeDSaKJKzoIQ40lRVhhD9MAaJo8uwJluuIQOaMa3J3mqyCsqyQipTt5OckVKBIFRBSguPUhrhK5z3TCdTbFWFTAzra4+NnMlkjFSC7lKXwlR0Oi0OBv1AWlnIshYffvAZP3r3fTZ3D2h1ujx37SVsOaSSDhmnKGUBg3UO52v5NdfIGgYVXAjkiXMemMtKVVWFloLpZMLOzg4XLpylKg1pLFGKmaTjYDCgLEvG4zFpmqC0nBHrURTNiN00S/Ei3CfCGiprkN6RpEldHwmFxHgXgkZaGQCRjLC+Jp6E4NKly7zzzru8++67fPvb3ybLMsoiEOxJEmQry7JE66i+Dy3GlDOPJogoyxKYe6/0eh2MMYCn3c5mnydJMju/OA5ksarvm6IoSNN0ZiI/reW2vipflWctUjiUCPlpwsvH4KqfH9CzIFx1wk5/nsdZgD6OgTbPEM25UBYhzi8+um98Tme1afby9HsItXbMvQ3CXDQHQL8ovvlXAc4tUj2LUE9TbzmDnwJh4ReAWzn7ZviOEm5mRN3sewaM8+Tzaz5fbB8lPJG3tGTJcjRl6uNg5ms0SqpZJsLJjfoUsHID/Cw+pJ644Xx3p201yy7gKDHZkCKLbfFU5cjy5VcD2550Dx2/pp56qTUjRmo/EU4733lP+OKzOrqHJwF1J5FZRz9/PPPjaI38sW0XSIIanAtG5v4IKXKEDKxB24BnQMAzXC1J25AiIqzfv/DMj47np55zPXbNsuGhzk5xWAHGK0qa+juUdzM5vFmvFGH0lY/te/5H8/cxOvKUujd7P9qDF8ea/9DL7DnlV3TspvxMZMhjZT6KSyAWhrYqWPGS0mlGJmEk4qAu4hte4Hg/P3mmEMc/FxxRE3i8Jg2rImbkypPKUUL9aI0W6IrZzPhY3U7LsFh4KwR+LB7Isyj/FcYncRQ7+FmLgKfNGJm1r2iIni/Y9TOQIk/aVNTjT/i/ke5cIG3Fs98vv9bEyN0PP6YVJ1TGUUmBarcZWciVxiaKqRSMiooqL6AGRgEmoxERggtnz9DudDH5hChO2H14B+kcu/dusb7W4/K5dfZ2HxDpNm+88hJ3b36KEoZv/uabTPMpn9y8RX9SsH7+GnkJUZwyLXKs93SXWowPDzB5n1evX+Gbb77M+sY6wgfZFoXE+QLnS1QsmeQl2CC5Yk2Oc1MGoz2qfEKiE5CKyhqssUGSQmpipRHSY62hMmCsx3lFLCPSdka0rOn1elgXTI2tc+wdHGCrCqU1WkisCTGd1hmUE6ysrCC9Z2P1DMW4z2i0w5/9+R1ubPR47uI5UC3uPxwTJxnbDwsm45v0lh3ra5dYWVtnpbfKzc/u8Sf//ntsbFwCHEWZU5Y5tprifDAqdc4AMTOpmGbSr29s7+VsIeMXF4sCvKNeZD9eAksYJGdcbSotCZIdkZLsH+yTJAlZu02/P+B73/s+d+/e5dvf/h3WN87QHwz5/PPbPLj/gN3dfUCyurLO+uoyz106w/Zen+HggKUsZrXb4sKlF0AmTMpdklbG9t4BK7R5571b/Os//Zh7+wXjQqFFhNIpcRZTFaMasJL4MsiKxJlESIvzUxQtrK2QKsJjsa4EGbE7FLzz/jav/4PnMIO7CG0oXCAVlNXoCNJEoxQcHh6GjBAd0Wq30LUXg6rNZifjCZ1Om7XVZZwJ4M7S0hJFkdegjsWYqs486aO1JomD3IcSAlwAH6fTnNFogilLnClZX1/FWkdU+39MJyOyVjdouCcZL71wnU8/v8uoyAExi4JtiAprLdYZPGomgZLnOaPhCOE8WdaeSWb1eh2kksTTQJ5opRkMB1gTouKllCRxXHtkVDMJsMbcdjqd1hIrIao3RGMHeaFG8sg5R2VyIh0jpAogXZoyzUtG45zSOgpjkVojvUUpyKdTVpaWUNJTFgbvLdPpGCEcchxAwtFwwMaZDTpty7Qen/LJgEH/IERAt1q1v4WctdHK2jJCCLa2dshGQ5Z6S8G0OJ9SGYu1HucMewc5N27d5d7DLWScBTDdWM5sbCBr0mfj7Br7B3vzbBBfsbW3ibghuH/vPtMiB+a6+KFtPL3lFbL2Mjdv3+BMS1J46A8PUVIy3XuEll36kynL584zsTsIeY7dvU2uP/8b3H7vJqPC8N5f/lt+6z/6A/67/+6f8O9e+TF/8Sfv8Ghni7jVYmO9x/rGOkliiWXBb33zdR7c+ZwPP3ifb//u75NkKcYZgvFHVZuk16SrDBNip5UwGPUZ9fdYXu2x3FHsbd5isL/H8tJVlnqKYiqIlEQJjXGOvf0DltfW6Q/v0oojDg8PiGPFtApR3UGiK0Jpg5UVUga5I4XCE1PmFVUFrU4LbzXeK6yVOKtZ6a2wstLBupK1tTU2t7Z58GibTneZJLFMDvfrzK46htIBTtZAS71Ak7V+qCKQGbWclq/7uay9dbJWi0hHlFU5G1ObjKiZ7KL3iMb8uu7jNOORD6B1WGAQiJB6FG6M5JFzyQwI9fEuZAcE83cRPIvqzBGpgr54kOkKsE+IRGlehz7YaXfQKkhrORu2sYaFFU0gZxr5rhBEcHT898fCVINhpFxYjh6nMsJ+j0Bq9WL4cRgqzE2L2VWLD2wuRCvUJI6H2nDe1ovFKIoQSoWHXgHOh/HO2SDx1Owb7/FKUlUhiyRLs3D/GYOrMyi00hhrMVWBMxWld3WmgkYqFe5b0YBQgXzCBYPDTqfLzqM9BJ40jphOp6StLJDzNhwjzyuiKEXJhJ3NHawBITS9pTWy7jp56XnwaIcoziiNQ4qyXvQHSU4f0lHCA4xvohJDal0gL0Kfkc1cbSyqpRBesLOzy87OHsV0wrn11SAbKgOZU1XVzBPKWkcUhQel4XCAF9Bpt8O94Ey4N5rUnubhxnvyokDXa0EhwnistCCflkSxJo0SlNKkSSD9n796jdu3brG7s8vq6grGWLqdNlprJpMRpqooywmtrA3MPWHCa1cHWQRizzk3IziKoiBJUryvGA1HLC0tBXm8+vtKyhnB15itN6RYkzX0VfmqPGtRuBCp7GsZw6d4iP3y5Tik1TzG+8c++dmP05Q5kfCloowbTGQBZPGPbTA/1uxMfANyzEU6Htc0f3L9g9SweOxsmmjHJwU9/mJlZ0443rHfzV9HFOCFqGPeGxDc1wDwvN3mJJA/AqLOsgbm4b2n1mNh1gcakiFIs6TS0FVTpjoi1xEjFTNxEcIFmaZZu50AnD+p/3g4IQJ4sVcv7mj2zwl7WdzmhNd1OyDmPftJaN3T9rhfTjl+4R6vT72qm2ePNNstNGUjD3PS3fiFRRwnLjjSz47+PW/hRdPeo/2gITIWxpnm9wyEa4DKOSkyI0eEm5EkUhwdo+ZjSaixq4OQhKiJBw+zjOZTysmkyMl9r2nRpp5OgKoBxnDl1Gz80d7hMDghcbhZXQVzVY4ZAHlkLDpK5DypRy7eyxwZSZjh1L+acnpL/sqq9Ese748PYfNsip/j/glyVg7QOFqixErBSCaksiKWFusVBlXj/3Na8rgnVKjv/K5+LEvkscYTC6TCwu9naOTF+acpi55GJ2YtNITICfPP4jYN6D9/T0A9LnhqJR5qFKF+7gvTxs/QS44N36fdf0fbP/zx8+qbszY97dizdde83Y8EGjRj8TNU6NeaGKnGU9pLy1gETkgmKGwnJY9iykgxrAylswitoLLYylCMJyx1O5iqotPLaLfT8MA9PWRJGWQkqfqP2Js8Ymm5zdnVDtiSKNKsLq+wtprwaHeb7b0+lddE2RrTIjzAVuWI0eCASFl0LLlwaYWXn7/CylIXrzyTfJeqyMlHCcJGBFa+wEmD8wLtM1paghsymuxhK0PqM6yJMKICp0l0RhoFoFcKUEoQaej0ljl7/gKm8piqQgmBkoL9/T7GlAjvGRU5kypHKUE3inGjIDVBFpF2M7oqo5gaup0uG8vn2SmGXLl2ge3NG+zs32Zz8y6tZJX2gQcGZMkqL127jvdtbnzyEbdkzIUrV3m0vYkjJmkvAxJ0iVBTfFowGe2hZIE3JYYAoEgpatkrX7MezRjRTLMO36R3OpBCcfy2CzIeAbBqvt8Ae42JWuUqhBJUtsJPPVEUU1WWTz75jO2dA1ZWVhiPc7Z3dkFK0rQNHkaD+2w93GR3d4urz52j24pBSy6sXmTt3Bp7+ZhSwPqlS1Rlwl/84Dbf/f4NPnk4olQtZBLjnKYaVySJoddts7nbRyURSdxhMjQobcKJOAckgQn3AaQiirFKYkWHH733gN/7+jlWpaaz5CmKIcqltGxGVeXozKGlBGdJdMjCiJUmzmLSNKEoCrSQaCFCVK1zKKXJstYsQ2M8HiAkpGmKdxYtg3FzVRaY0qDTlDROKIoKlMTYEus9q6traK2ZjkdEkSSNYkbVBFOVdDqKhw8e8vrrL/MXP3qHnf5DlI6CfFJtiBvM1iuM0xRVAKyMMRRFUYOc9VX3njhSrK+tMhwNEWlCq9ViPJ7ijMVZi5KSdq03H2lNkqQzAqYoitqgPujIaxUBUOQlRRFM3UUS5FCmRYEkZFnFcUKkNUpFtDo9HCmWfSofMpa0kvS6LdZXulRFSSfrMqwGtNvtYBhsDKU1rKysYSpDEmXkZoIWGucdrSwBCnrLS+RlgXOWJInJiwKPY9AfkGUZy70epqoYD0cAxFqRdXo82tnHWMfewSEfffoZSE0UJaEPj0c8yje5+/ltRA0E6ijCIRFSUeQFN27d5PN7tzGlASdoxRnSO6QEUzpG05IXXnmL4cQxmgoyKZhUOdOqIM0yBg/vUsqU5TNXGJUj1s5cxlRjxqXmR+9+QiYcL71wERlLbnzwfWz2MW+8/gavvfyf8z/+9/+UOJacvdAjijVaS9549WViIBEtrImpjCBtdSirMc4JhC9xBhAORQAePTCZjjk82KMqJ7xw/Xmq6R67j+4T64h8usna+jXSeA0tNbfubKOSlP5oxJXLV8iymMHeJhfPn+PR7i6xhrwqa2N2hVIx1k1r0F9gsbXslWB4MObcuYuMcoVWKc5EvPD8VZ67fJ7PPvsp9+7dREee//Qf/QP+zb/7Ljt7A3SUBCClHquEF0RS1xJp9bAowTuLVx5V34vWe4rS4Ak+I5GSSC3pLXXBwd5ekKvTnU5Iy3cGHWniOKKoygDMV+F+imtwvN1uo3UUsjTqsTmQinmIYJfB1F1KFeQqmsHXOpDhfvXOIuoMIwFYV9V2K2G+E4Tx21pHrHUgQbxjudellSYIXJAlImROOBPmuBm0ImCeS7i4+OTIwjJIdgiCieT8CaLJSPQ1IT8DZBa+B57ZavPoLFN/lxnw3UhAQRgDHK42zaz3XcsnWR/6ixQeXPDZklIGmSStgt+Wlghb+0sQ2tI7h7VVGMeiYLou8ERRbdxtDGmSACE7wguBUhpEkMzCu3AdpZgbgQtJ1mrjyhyHx3pHmsWkrRaVtcRJiheSdpwghSbSHTrdAaOp4+HemElp8doytkOK0jCajEmzFCkEwocoyDI3mDozTymNEgJPkPMSMhBnVV4Qa02axEgE+TSfkdfD4Ygsy7CeIMcoJXlZYJ2h0+kiCD4i3jkKE8httCCvCtqdNvl0irM2dBUXMvkCKWgpphOmztHpdIi1DvKjJmRnemeRKJSAfJqTRinPXbrMpx99zM7WFmsrK/Q6Iet0WoaMQWtNLXMWMvyCVJirDeGj2dzjfZCcK2pvIeegLKt6Daco8ilaSbSSOGsI5L6i3W4jhJjJn0LwZPmqfFW+TGlW1c0Q94sgRU7HseeihEcAjJ/rkecg3Zct84dof+zX4xD8HPqY0yQLe3qsfk/A+GnaZxEYFARPsObh/7Rv/SrKrP808yuAf1zDfZEi8guttDDzzrerEbhAijzNlTxJUiW8K3HEtSRL4aYMVUqiMrTxWOHwC2a+j+31Cw7bHOdo4PGTrsOT74rHAfg5QN2QRM3Xn9yH/maUpu/OpOK+cGtm5/r4PpiRuD9TnU79+tGxaE6KzKHWkwDxORmyQI4wJ0LCOLuYMRKy9QI5PT/TQA4t3jHBs0fUZMBMamdWr5NPZPF+OnpmJ7bGwr/1fr2vs9YCQeulwCGRzhNJgxESTZ3dI4IPCn6REFrc88J+T63D8fqc5By4cH/PiLKn2uHPrTx+Xv9hFzH7hxq0P0onMP/o6fdXv2gymLRwJFRYCS1ZksmKRFiMcDOfqMU8jMcCA/x87JkB50+s0CLTc9LZPO25zGe6+R32eK+eHbUB9J80ts2ebRcngHnD1yGG8/HS/4yESHMI8XjNT93rL/DmeOKuxfFtFsmRoz9PW36tn66cVFRSUwhBqRQ2TiijiEoqxnkAa21lgnyIA28tL7zwPNevX+O73/0u9x/dZ2VlmaXeEmmaceHCOs4a9vcL4kRRVWN6S8t0Oi2U0Jw/v8FBf0B3eYMXX22j4h67B0M+/fQOa2srPHxwF1PmxKliZXmZr7/xKq0ooSpLyqoiSrq0W0tIl0AV473Bq4pSTABP5FNs3kf4gk7LoI1hnHse7vTxsYYorsEsgXcxzlZ0uwlapNjCcrC7w2RakuclwnqyLGNcTPE4WnGKQLLaWWVttYMuJtz47BOiWJGe3aCdraCcpd1ZxlmNKTWjkcWW8Jtv/wbTwT6b9/d49KBPPx8h44ROb5m8mLLUTnn7rRe5eWuTjz58Hyc1y2fOMJ16dBRjrAKRoLXBUVLkFiE9DodxlkhFaBWMYr0LZrQIM9OylCKATr6WrUEsTKALA518Yp7mfBBp5GO8D0CG1hGHh30ODvrgFVIF8Dt4dgR/Ca8lmzs7DMdDnrt0CVtp/vrdj3jh+nlefvkyIukgolV+/M4N/vTPP+PeZoWTy3iZUpUW6cFZQSWDjJhUOoCDrZik8NiyRGpRD44FgqiOplXgPEJqpOrx+f3b3HzgOfvGRXYOfgKRx1MxKTw6MrSTFv1+f6afbowFQsR/nhdUVUGn08F5G6SnqgC6NcauQgict3UmgaYsi1rCTFKWwfS8KEqKPKfXbVFWFUpEaOmoqhLvKrSOMNaitaLdWUJFGTt7h3SXVrBesX7mHOr2JtaHqFiYy/kYU1GUKoCw3lJVJdaGTJUsy0i0Znd3GyEEo9GI6XSMtZZ+/xApIzY2Njg8PGQymcykttqdjDQOBrth2z55npMkCd57xuMxEEDOTqdDHMdIKZnUciVB/iYmTWIEgn5/QG9llcpOKUyFsZaiKmh1I/AOUxUkkSRSmm6nW/sI1Q/PUjOZBsPx/rCkrBxCRMFjxnuyTkSr12GyW+ABGUVgDJ1sOUT6S4XSwY+lpbI6whumU4tzEXfvbfLuTz7i8HCIJ6EoJ0QqYmV5Da0k4/GQ3f1dWu2Uqipotbp00h5nz5yjshXbu9ukWYa3DoXghWvXePHF62xv79Af56ytrfLo0S4ijri/+4gLGyskqs1g/xBTOdpLbSb9Q1bOXqbXWWU01vz1p3/B8xcvsdZNsMpRecGjrTG3t+8h3/kpG2urfOfbVzl/7jm8iNFxxO7uNns7m6z0lhAiY2lpg8P+gDRLONjfR8cdlJZUpqQV65C9IUIs1Xg4xDvLhbPrtBLFjbufs9Jr8Y3f/l2sqBj3H3Hx/PN8/Y3X+f/8D/8T4zKnyAVVmXNmY4X7n93k7Jk1hKyIE4/BY22BlJo0izGTCO8MlB4vDHgDzuArx2g4ItI9XDWilca8+eZLDA/3uHBug+cun+Gvf/xjdrZ2+Ft/63f4o//pf0ZrTztLgleNACmD/08Y52QwLMUHWSRhwyJKK0pjiSOBjoL5fFEWtLJW8F9odep7OUSaBz8SFR7OlIKS2dhX5AFsBmbyWSBC5kdtoi5qUlJKNfMO8kKCFLX3jqilkuoEeGdxrpaCWhhrvVbgQ1RaHKdUZU4UKVpZSq/bRukwhhdlQaqCn4ZWtSSRqAf3Rpv6MZRovoKbyTEiCMj4wpLJLzyo+aMPvaLuP9Szy3Gzdj/b//zv+aNsA4zNvbSEANFIgy2uaX3wyXHe4V3IxDJmXnet9WwMauT9rA3jdSOvFaSjFM6pWR1AhLgCCUIo8DaQqsbSbkVEWuOtmUmZ7O/vs7yyTJqlGFsxnU5BSZSOQraCh7woEIQMujiO2dvbY3+YEyetQAagSL2n02mBd+TTKd5WSClqmamKJFG1zw71/OJRjuCjApjKoJMYaw3WSra2tlBKcfnSJeIophVrlBSUVSBOjKmoSjPL9CurKuxfKHQcMna89yHrT8yvY5IkCBmkyUajEf1+n7W1NXq9LkIIyjL4a5V5gY88WkeMRyOWV1a4ePFikJ2sMzWc87TabdIsZTIZ0e10qUozM0VvMrkanxOlQgZkXGcwBt8rVfevYCDf74fMzCazOY5jkiSrZQzn3liN58xX5avy5cpREFkceSf8cdIz+iKId/y943t+MhQwB0F/voD+HBKcg+PP+u2TS5N4tghcHt2+yYIJG/on3J+nSWKJY68akHPe7mIWFXp074sxqb/44hd+H6/NIgB1/Pougmnhu7V7Qv0gNweSHz/WF5fHe2cDVEfS0qKk9DkdVZCpilgZKoIvmzuhsz/L8NrEUjx2XyzsY76MOHpFH6v+4mazMzj+c7qkU/PiF0E5Pks5bVw4/ub8nOYk0PHtF9dbJ2ryPWOdjoP2zXvhmi0SHPP+O6PnxPy7HPvukehk5rJZqv5bMSdHFrNR5ntZzKNbHCMX6ufFQl1PPs8GFzk+Pp1e5uBxWDGH4BaLwDmBEw4pHZHXRN6ifPCo0jVxeXzcPU4qPxsoedIs07zvT/zkSXv52csJfeRXXP4m1AGO1uOkuf6ZSZHZ32E2U8ITY3FSkMmKVFYksqL0CuMlNsgnHKEfFst8Hmr64ekLgiM8w8z/+MvPqUezH5+U7bZQoSeNbafdDvXDpUAgF55nA26weP7P3mtO+sZpezk6av1yy8n1rGeUx8bZpyu/1sSIzLoUUUypJJXWVFozsUGvuqoMQiqkV1QWpA5ZBmcvXmTj/HkuXLnM55/fpD8eMS1L1jc2MJWh3cm42L1MVU3xGFY2VmllKfs7A9599ycgNZevXKeVpKg4whY5F89vcPHiZdaX2vz5977LcmeZ9dVVitJwuD9mMBgzmA5xeBTgSoUvFWU5wYgpxIbR6JBWnJGIgmuXWqyvORLpiNMz3H4wYjAuMaKkcgopIoRXJFHEeDRhOvIsr6RM+gecu3SZwXiKcAKlIhKb0cratJM2rVabJNVkUUVsBqy+fpXhuM/N7bvsPrxBknSJ4nU67TP0+xOkSHj44BBZljx/YYPzKzF+opk6GBQ50nv2Bw+ZjPdYXbnApcurxO02H9+4x+HhiLMXrtBd3uD+/S0ebT8iUg5jPXHUQuocKQsy3WI4GONFhKxJDyF9AOukqSdaGYAeag37Y4NEI2kCzeIJ8PX7zWcC/IIEiq9lS0ztQ4EIBsFKarz3IbNCRwglscLjyilaOaqBo7r5gGJsuXJxg89u3mJajnnrrd/gT7/3Af/2j9/jzoMCoddwMgGvsTavBydFURioHDpKKSqPMxVpHDMtS7RMg/a6KBBSAxp8hDACKRSCjNKf4Y9/eJfXX30eGXdoRRYpoBSOKNYoHUzGu90uB/uHtWn6Mq1WizwP2UJFUdSyWQXUuqZVWc68JJrFTSM7Fdo1/FZKI6VhOp1iXYmtCipjabc6HB70abU7JFmL/cNDYqHxIhAEpVXYynH3/kNM5cmyhPE4GKlXZUFRRxfr2vzWOX9EZzbPc4qyZKndptVqMRyOWFtbZWmpy2H/kCzL8C7ITs0JjQBMxYnGeTn7u/EVkTJsb2owqwGtGp36Joul1+mSpCHiOIojrHeMJ2N29/eCwTFBU19ITaeT0etk9A/20TJEb5vKoqMYj8YLwV5/Qru9DFGC9TkgUVpjrcH7nOG0or20CkLWBtuwvX+IIETal0UY33AwnUwZjcfsHRzSH47Z3D6gP5ySJB2MlYCqo84dSRwRRTGddg+Ex2ORThLLCO0U1pZkOglZSkhsVbL58D75pM/K2gqrq8tsb94jijJEHLM3Lejfus31C+coqoKlzhKHh/t01jNSJZHe873vfZ833nyb11+6zMPbN8jznEfb+zzYGoLQXH3+DFcub3Bm9QzeeYyFrBPzaCvn/Y8/47nrr1FZz+r6Gru726ytLYEPEjxap3gv8U4gfAAT+4cHjPojzpzZYHl5iZ1HDyjzPt/5299kY6PNo61HxJHi80//ksvnNvi7f+vr/LN//u9AneXwcI+L58/y6E7C4WBCu92hGBwSRxGlCceMY8VEgFMSJzxB2gkQDqqSw/0+z185z/DQgC9oteHShStsP0q5dOk5zpy5xP2H93n74nnSxFNZT6IlY+cDcqxC5IvzLshnNWQwAnyQJgJNWVr0UkqsFZUtATWTnVtbCR5BxhiGwyFZloGpMNbhqeYPmi4sGqIoWgBca9NvGQD3GXBWA714g3e2dlFntvgLREB4zzmLdApRjyXeu6Ab7UIWg1YCiKmqAo8iih1K19kmOOKkvmeUmpMXjVmqEDNfqWbsD9VYWP7M/EQcyPkoIpiPZwJxZHwLPizzvxuXeDGTo4LFiadRgPSS+fJZ1NJN9aI4GLLXbTLLUFlYsNVVDjJLikUSphm/GnKk8U9q3ptMJjWwLkKmkVQ1UeBxjfm6r+c7XWeRhCUzspakstbSP+yTtlIcjnanQ2WDLB3ezR7yi7zAWYuzhl6vx+GowFQlzoYMqlarRfA7a8zj6/P2LmTp+oIokqgknhF1rnnsqEkfYwweR1JndhwcHDCdTjGmh8oSpBJERHhjmBZTpGg8azxCCnQU2kcYifPBb4jaCD6OY5xz9XwXfFVC0ICpP/OUZUGSRLRaLUaj0Wx9UBSBLHnttdf44z/+Yw77fS5fvsyg32c0Gs68TybTSW1AP58voyiqPbRKsiwQHM652pNEo7WmLEuqqpwZxDvniKIIpRSTyaRe9zDzmGm8sr4qX5UvW04DIJvPTvogPOgvxk8vfrb4ys/2/7NmbTxbmQPrzKemZ/g2teLeCSA5fkZ0z7dmwYh2ngUzy4Y4AU8Rj704eoyTIPOmPiG8KdRRcpIsxK+eFGmKgCOyFicVwRx8ajJEJC6AxvW88/MoAtBYUlHRlgVtVdDSJakJa37rZT03n3Qu/onXbGGzhWjlkzc8LsX0NMX78NOYkjsxJ0eOg2yPg+F/U+DT00tzz+EX7r1ToqZPIyUWdzbvj6dfN7HwhTmI3xAazTbHSJEFw/RmH7NoZDGvjxDhHpVwRCprMVNEznx0TjqP+fi5WMe5Cb1gcYw7VZXnxDZ5Ujk66gjqIKpmLPcChaYQEcp7pPdoHE6EZ9/FPRwf85vz/ILb51g9Tq/nbPx57NyPXpunK/6xMz/p879Jd9KsPqdj/H9jymn1+6LRr7m3mn6WCEsqDC1V0VIVpddUXmGsrDMK5+TH4q/Hs0jmHx7vc0fGlwXC4WcpYvH3EQms5lczVs3DLU46Zg2LnvBmvXdPfb9SKzmEYErpmc2tX+pc/MJhTpsbjy9Y/ob0ypOa61nKrzUxUiYppdbYJKZQksJBbkucA4mmLAy2jrLWUUopK/7qxz/FCsG5S89ROMfB/j5eRyytb7C9tc3nd+8TSUWcSq5eu0hvbZ2fvPMOa90zVKVn72Cb4TCnNHDh4lXWNs5z6cIa1npefelFBgdb3L/7OTdvfMaPf/TXaJXhhcYIi5eghEC6GGE0QlosOU5VGJMznhRcOd8j67Ux4gBnAwB9eDihECkiS7BWYL0mUglFbvnmN77B3Vt3cKKi1dYo5Xj55ReYjKYcHgxZymK67R6xTLDWc7Czy+bwIYk9oOsGvPLCRa68cJHbj27x2a2P2d37nPH0DN3eRSbTKXkhGI1j7tydkCnJ88+/xP5wl0cf/TXZcoIxFbv7Y/qDAxDLdJeusLq6yoPtQy4lbZaWN0BnTKqCrUe3KMp9Lpxr8cZbL9Af3ef6tavcvnWfm5/expWQ6oy8qGopqSDr4glgGxik1CGluFkc1pHEsn4kkaIG8WcLHlkvIo7OJIuG29ZahAzRmF4LEGHpYp0gLyp0Kw6DTmlJZIZwhjv3HjEZj3jhpUt8duuAdz/4Y3760TY7/RhaG0xKhTP1Q40VoEGgsc5hjUVGQd95Ou2TtlaYFiVCZGgV1Ya1Bd7FCJ8g0QirsHhkco73bn/Cp5uG33z+OUT/Nr3lBJ8kFHmQkmpnbS6ev0g+yclaLYypmE6DObuKgqfC/mGfJI6RWpEmKaoVjNellHR7HQ4ODhiPpyRJQlmWRFGIch2NRjUYFCF8RbsVMxpOMFVBb2kJnWTcf7BJFCckSYd8UnHn0UMebe7ywQef0Mp6DCdTOu02RVFhjcFaE4A258ICudZVt9ZR5AVxFFPGJVVVMRwNiaKInZ0tXn/9VZSW7Nz4LMi1yGgGdh41jQ7ZJQDj8XgGUjWSWmURpFCCHEqQ9mrkvZIkZHxNHKRLSwgpWep0iaKIPB9TmRLvDXGk6XZatdxNQRIplBA4E0BK68CbQIhNK9h7tMvufp/KePKyZDLNsZWhqqY4Y9g4sxH8W4YjrPPsHxxSTANZV5kAYhd5gbdBYs45E+4VqfEiwtkQmZ1mCRIo8gmTSfA6yVoJxljiOJzb/t4Wdr/Ai4ooSyhzSyRTlJIMhocMxztcvPqb3Lj9Ifcf7PHW29+h9DEiO8/tT9/jwZ0f849+/zs8vHOTpaVlymKH6SDi3Z/+JS9cvcyLL77E9u4uq2ev8YPvf5d7dz9nZbnHtevPce2FqzilmZaSvf6I7lJGPrZcuPoaP3znM7YGB6RJxNpal2H/EO0jpoMSfTFjpXOOW599xsbKKr6qcNZix5LV1gbPnb2KNSU7k4f8xtdf5eqVVT658VPKyrK+vkE7Kvjwp3/Kb/3Of8L3/rzLYV6RT6fESca5i5d4eP8RF9vPEWuNL0u8LRBojPPEcYvppASvgBDF7xCBqOobcBmClKLos7v7kDPr1zk43OPwcESns8xzV69z795dqiJHRwlZnJBECYX3OKEIuXQhKlwojXASXxnQEVmaEemQDZC1OuBDHwWLqrPQlpaWaLVaHBwcIESQxDsY9Gm32yBkyD7xwZuKOGSWFGWJNQat5GwxpOrnVCklwkOidZCqI8ghyYZ88M3izIUsNyB4kyhC1kvgGQQeW5UID4X3xDom1hJnCrQKklkQPDScsQGIq+/foxG4J7z2iw+y1Cs6h8AtIlg0qz1PkCpr8lwCmK/qOSW0/3yuOOlBrN5lQ6zU2SZ6thquyRHRaL5a8GKmhyoImYiCIMulF6SRmjGoeV8pNSN0GymlhjAxNpAfSgqUkswIT6mRSOIoqvXYCEEFUmCswxpHVZkgpwi02216vR6bW1uMRiMuXLyEqYKfVNZKSbOMV15+ieHU8PBf/mtG4ylZd4kojumPhyitA7HlQYjg66VVeEx2xjKpChDMiG/T+ElZS1S/hwjjdpIkjMdjHj3a5NzGGjqOKPIJxpSsrixjvKOYTlEyoiFhhAiyi8Z6vHBoqVDoOgsq9KOyDIRJnMSkaTrL5rDWcnBwwPLyMmmasLa2xmg0ZjQaI6VkOp2yvrZBu93mgw8+YG1tlU63TVUFSazxeEy322U6zmdZPY0XiK69thrfkaIoaLfbMzJycT3SBC80JFhRhCy1hqhv9q21foxE+6p8Vb5MOQq5Pet3TwK/Fx/CT3sgb47pH3vvi4/4xZv8LI/mp0IIi6zFqeWktlj8tJ7L/CLQcRSiOdoiR2HF2lUrPA8tgHqLu3rcAP4XXU5umNNAniPbBNR3tuXMc4HFny9fm+boUngiDImsyFRJR5V0ogLvBUYo7OxIp9T3C/rUYobMk8/56aHCOQAsjpIjPvQBJ6gDCZ/lOH/Tyrx/e2o/Mk4DvZ8sDNM0xRFJtVO/sAjqHe1j9ep1AYA+iRR5HPyf+YksSmiJOTGiZn17Dvwu1pvmvMVJnxw9z8Zr5ImqYkdw4qcd2+f3gPACJxpSJkSjSxekcBWOWBpsTWUu+vYdJRKO0g1fXN2fZU3T9CX/WNM9zd3wJaHjX035G0iKnNZ+i/V8lvZdBPqVd0TCkghDKksSGTG1EVL45tFmfrRjz2ontdOTxuvTZrKftYhjfzRZkk3LnX6U+Ux6pC1F84jp55oIAqRfGAVFveHTLV4eK0fbafburFaL4+vx7Jy/CT10cRxq6LOnLb/WxEgRK6Isw2jFpKzIjaHyoKXGVAYpghFp6cAT8bW3vs725iM+v/OISxcvgsjI2msMh31+9OMPePHFFzh7PmUwGPC1t9/g7NlVbtz8hPsPdkifW8FYiSCiqiyRjkm05uzGKtbCJM8ZD/qsLq3w/uEh3ndotdsUpUcoRZJoKlcFDWvtUVG4UFIqZJxgbUoxnqDjFp3eam3KJUn9ZS5c7LI3qrBCQqSIVIKvAuhii4qrz1/jgw/fJe0IDg/3mUxLLl+8yoULZ0FBWZU8eHSP4eGYajrm+YsddKUxg4LhcA+fdXjl5ee4+FzMrXv3+fz2Ho82d1hZfp4zK1dxuWBnMOGNV67x3AvnuPv9f4WpxpxfPxMA80uaW7d2ODjsM5reo6LDysoyveUuOwc7ZJ0e3/rd3+LRgzW2tj+lLHc5HG9z6blVdg/u4OSYl169wMN7Wzy4c5+1lXPYUoBXIYIZj3BhCJgvBuqo1CMLifB7HvnRDDphwGwiNhuwZLYnUUczG4MQiiiuM0gArRSVCWb1UmgsUHqHKQzjh1MKr/A+YlRk9CdtJibD0WJiLdp7pDfBfLeRqYlivLHkRYnUCmtHCJHgbEVVSuJ4mdL6oDFOiaQixI07nPdMqgifbPBnP3rIb73+OvTvc7C3g9GaSEVcuXCRfn/AnTt3Zn4aSZJQVSVpmpK12qSZYXNzEyElcRIhpeLw4JA8zzl37hxCiBBlDpRlOQOrlFIzAqEsy3qBJnDOo3WMsZKqcHiVkTvFg88fcuPGLTa3dhgOJngvKasRo/GQJInRWlKKsNjyNRgYZGQ0ro72tTWAVlUVo9GYeLk3Awvv3btHWeW1ZFZJlnZmAFSSJJw5s8F4PGZ7Z5NOd7mOwJ1nC0VRRBzHeJdTliXT6bQ2MJ5njSRJUhMQ4TyLoqTdyRiPR7VEUDC1npY5rdYZEI7xZESmI0QNjnXabYrKc+/hJvcebrF/OGJn75C79x9ROfBC4bxASUkWp1RFQfvWDmVVUhlXm7AHeTdlJZPxFKU0zsVopfDWkGSSsioorUOo2gJZBfmZ4Avhcd6gI4mQBC+l0iKURCcRaSQZ5RXWFWSdDtgUZyyVdbz++qsY5/jJez9ldfUSxgiy1lk2d3boLF/DTzb513/8Xf7Od94mnxyStVoc7t4kEoY3X3sOW0w4f/4yf/nDv+Ljz25x8UybV184R7clmB4OIVshXV3h7tYmnangynMvkWRLbFy6xnuffMJ//g9/n1s3btFJEiIEvayDLwSXzz+HyD0Xz54jkYLBwQGcv8jqcodIO+7e+Zzrl87x2998g63DbbotgzMR+w9vE0eOncMtyunXeO2V83z/r+4xGWs2N3e5cOkSn378KZNpwcryOrsH+5BXCCTWGJZ6q+SDMV6YWpqpRjqkwpcFOzt9Ou2IqlS8/+HHbKyv8PY3v8FoUFCaAMj/+Q++j5IpnVaPdqrZ3DyEKMJ7jcMANpABQgT5Kxmi7bvdJbQQOF8RJzFlaSjLgnY7Q+uYIi8YDoczYBYI2WFNhKRxta+OoqwKvPdMp9N6oSPq6H+BNTZkrwXzEKQgSOQZg3W1Dngdle9m466sQXpZswlBwhJV+z4JQVT7nLjKBu8r4Ynj4FnUzlpIqZlMhmRpiqkcWoqFxW+TCbK4DJ9HrC2M6AuP3I75KjFk9zQRvdZagkpyGGFDXC6BUFHzuWE+r4jHAOmjc8li9FydDl6TSk6ImvCtjeqdx3uH9R5q0r/JYgNmpAEwG4/mGRnzcVmqaEYMNI3Q+KQ4FwzZhQpkvPXBnyRWksFgyObmJp3eCzNfj/F4TJHnxEnCsH/IYDRmY/0srVaGMZas1cZWFb1uj9W1DR5u7+CFAg9VUSIafzAxl7mUUoH05FNDoSuyWr4Q77H42VjsnKPVThFCzM53MBhQVRWHhwOcKclaCVIpkjShKkqctygZZPSsrTMcCVlJzjhiKWbZNc14L4QIWaJa0Wq1GAwGJEnChQsXiOOYe/fuobU6cq3b7TadTodXXnmF9957j+FgQBwHP608zzlz5gxVVZFlGWVZApAkyUzyKooi1tbWyPOcPM9n2yqlZq+bOa5Zh5RlyfLycjCpb7K1YLa/r8pX5cuWx4BnQbh3v/BhdhGMPwbb1yBj89nsrWPfn79/8r6efOSne8D/cjDAHFg9CRyZ4Rinfvc4fHBSfRfyQhbmtNl2J2ZJLD7ez7NxHj9KU0c/w0N+EdDE8bM6uUmOt+Hj4NPs2ovH+4x4jByZQ1hffE5N1k69NwHCB1A6Eo5MVXSinJ5LsFaRW430ss7OqCN3F/pyU6cnH/GL63byGRw9hhDHP60JAwQWgfIhet+L4D3RrMHm99+vVxFH7oX5CHBEGqc+0S8C3OZSd0/cjNN6rJjV53QiZFEe5+gYN5fNavq2rN8LP45FwqSpx/y6LZxfcw5iIfvsWD1dc/ynxPn8wu8vphrFvDaepvZBzpuw7tDCkviKyhm0dDghwduFNj99/H/y0X8+nXhxrH4SOfb4X4/fxYtb/RreYr+0cvKo9vg2T5o7mntnluPfjN2AFoGMS6QhEhYl3Ox+8kf2Tj0YnF6Toxkaj5dFzw//TD3gtH5/fItQR/GEOh4/J3HC3w3nMfO4pAkQX1iOLT4qP029Tjja42uzxzNWZ9k5fr7NL6s8idqazavisY+eWH6tiRGTxOg0Ji8LpqaksiGyAiHZPRjQ7SzRW15mudNlc2eHKGrz5td+m3fe/RFCtLny3CvcvHmTldUu15+/xu7uLt3uEnG8xHTi2dmZcOf2DpWN+fz2fZY7yyyvrjIajXEW7t+/z8rqGmfPnqcqJVLC5uYDlpZ69JY65GVBmsWoKMIrh/IG7yVKWIS1KCWpnMMJR5y0SHWb/sGUd9/9jCjOsWiMkQxGKTJKyJI4eIIkCXvbO6yf3cD5Kf1Bn2/+ztu89+FPwMBkNKZ/eEAUa24/uIlONJUVCK3IliJyO2GlFbF29gqT0YgPP/mUTlfz4ksbvPHKS1y8kPPhJw955bVv4DnLh+/fZVjAj27dZ3O6x3Z/jFYZX7v+Fjv7uyRLy7zx5t/msxtbvPfBbfYGJStrGagCrw25hWowZvnMCpef/x32dj9nbU1RVlvcun2LfDLl8oVLfPM3X+eNV17ixz/6EFSEqQQCjZQRkQxR8d7VsiME095mEdEUsRDe26THLmrWzqRXFoAPIQRKqpo4CYao1pV4BDqOwTqmRY4WET4WOFmbIMuMzT2BjpcZTSS5TzAqobBhsWC9rSVxwOLAeyKV1B4eDpQHkWPdAB0FQEd5jXNdhBco5QGD9QXgUQKsjqh8j7949w63ft/xtbV18uGQuLtEVRq2Hm2B9yx1uhwOB/S6XSbTKZPJJACBStIfDLh69SoPHz5EKEm702F9dYPdvW0ODw640L5AURRUVcXS0tIsirUsS8bjMYPBEFMZ4lijoy55pYlEi6TT46PPblKUlp++/yF3HzykLCrarTYoTStugRfESqE1JFox9jZIYNVm6EopWq10NoZJEfw0KuPo9/usLnVZWVkhzydsb2/T6bZYW1vDOYcUgbARQszArDRNqUyB83Km0T675krR7XZZX4sZDAbBbN7Pgahm23a7Taqz2YNnUZSMpsGXZDKZYo1FRyqYRFtDt90iH0+pRElRWSgrysrz4MF9/uqv3+XR1h6d5TW6vR7WS6ZFCUIR6ST4tegWhTGoqE0Si2CiLAKQKKRAxBHWWypnsbZCSUnpwSIQSuJVkNExxiCVQElRg5slvgpeMEJKVBQWvYfTMRmaKO2QT0uKsiKJMorcsr5xmd7Sef7oX/xzhGgj6PLjH33E1Rd/i7e//rf59//uX3L5zDmm1ZT/35/87/wn//HvkMRQ7m9z6cx5fvrXf8KlK2+yvbnLe+99xNLqBi+8fJFWUtBrp6Sddap0jVy0uHjtBT67eYON8wZjp1x/4XX+6T/973nzleusdDq0ibFlyUo7ZfvhXbJIc+n8OVxV8ujhViBgNpZYanmKSZ/1jufFV9/g9//gb7N0psdwNKAqFa24izETHI5h4RiOPe+8f4/SR+xuD7lw7gLXXnyO/YNNsq4gSSx6EiK4NSHSO05SKmuxVfDGCcxBBM6wu/OQ7tJ5fJXx4OEh//Sf/Su++fZbtFpt8tzwox/9FC8UadqjLFNGowmIFHyEs2A9M6mqQJgJ4ijBlJZYRIABPEU+Js9HaK0opgVTO6XT6dDv92d9fDgcIaXk+tVr3H1wHyGCV4GSAnwAzk1ZEeto5ifSyjJMZXG+WRZKBJIkjnDWYIwLxot+wYRcCqQSCOFpeBG8C1lqBGIXG4gEU5RINMZWREpx/uzZ2jC8kUtUKJlQ+Rzr/MzA3IuFx+PFRdhjq1w/Wxl65OJjdv0qLIylDHOAx9f3/fzrSoqFaWUuiXXkGDMZNearL+drsyuBQCGERnqPcDbMWx6881jnZiBMiMybz0UNCN4A61VVkSQJeZ7P5LQaKa1Ex3jAOIvEE0XxgtRSQ475mcSWkpI4Ttg4e4aH928xnU7p9XqUZUmSxLSyhMp68jyn1+kGz7XdbZyHKG5x5coVxsN/T2EOiXXMNJ9SmSBXJbzA1vULPhqBLIvTCIdHa4mQqpYto+7fwYg+LwukCu2QZhntTg+hNA7BtCxY6rZZXulxeHgQSCECmaLkXFYqjPUlXjiEE0Q6PMiPx+NZtkbj69EQJe12O5i9D0YsLfW4fPkyW1ubKKXJ8yCj1ev1ODjcp9XO6HTbGGtmmZOj0Yg4jqmqijROFs7dzq5pmqbs7e2xsrLCuXPnGAwGDIdDWq1WnXVSzsitRem0oiiBcP2bei+uX74qX5UvUxrgzgm/YOo7//QkwOIokcGR1w1YeOJnJz4gn5DtcMLDdvP1Z3i+n4Gjz0oMnPYdfwR/PGkOOPk4p9f3eKscPbsvAg5noP8sNWRRiuNZWurLl+MA1xed6fH+Ez6byxedTKQdBfw9zKNXv+DaPt5/A0CthSWVhq4qmOopudFEMqFckO09WsenL0eiZx87PrN+fFJbNcuHxT7Q/HgIRsNe4kXIY/U1KXK6JP2TSYS/OWV+LzxRSktwLML7lPMSR34tlJOhsyOErFhYxnEKEdJ8JuY1F3A0y0k0ZuvzayibYy5c45Mrf/LIu3geDRRch3uecr6Pl6OkyBNayB+9Uz1+lg8iXPgsRO/HJN6ivSPC4gQ0K7GT7vfm/cV7evHAzVk9/o1nLfM+NSOPjj8bHK/PkU9+Xe6dZyvN2fwiZoaGh1js3k/q5c3niz3+5L7iZ7JQSjhiDIkwRMKgRU02HvHuECf8e7Q01/i05bNHzJ8rFyac08bu087vxO7j5+fcjCdP2o9/rPueQNLUeOciqR7GnNBus4fML6r7Ked5WjuddN88dm//MsqsqsfqLuq6HwmyePrya02MWCXIjWEyLQPQjMZYGI7GvPrW2ywtrfLw4TbXrr9Cu7fO5zfuc+E71yimjk8/u8PK8hKjUcH6+hrLKxtsrF+g3z/gxo1PGSUVg8GYM2cuM50a9jZ38H5MmiZESYuiLBGm4sfvvMPX3jScPXcx6FknEatrayA9mQrm2SFwNmimSykR1oEzOOuQSPLcsLS+RDUp0NIxGeUUNseKGFONkTrFm5yD/j7FdIxzFb1uGymm7B0IdvtDjH6day+8wKP7WwwPJmw+2sQLR3e5zbiaYrxhubdCL06Y7N1lpZXglYRUs7y+wqOH9yneG3Pt+nMk7VVef+0ipU15sHOIS7qUCcQtwaP+AeMSstYGpkzRcpXbd3bJ9gSjoSGOE6LYkmagowphK4wXSNllMrUkUcyH7z1kf+82b799jfXll8iTAft7h7TTQ95643Ui7fn4w5v0D6aURY6WXaSIcaRYZ0Fa8GEpe9qD0EmL7Jl8fO0z0kTgeu+pqgAMeR8IF1WDMs4G8DmJEjwK6zzGW4RT9LqrRK3L9A8FUncxVUlp60hvCdYZhHAIWU/BXmAslIVDCYm3FVo4vJsQRwpXgncTJJ0AIAmHp8SJadAoJUL7mLJKGJer/Oj9XZ7/dor0mtgLnPUUxnB4eMjGxgaTyYTBYMDK6ipZlgW/jSwlTVOMCTJtUin29/exlaHdapO1sjpyuKDVbs0il7MsY3lpmYODQ4qyoNPukqZthuMSGS9z884uu4e3uPH5HT77/BZSR6RZSiduMxmPg/H3aECZ52xsrJKkkuHwEFVLv+AkOFMfL7S/QFCZCllI2q0gX+UJ0dRpmrK/v8drr7/C2toaH374Ya1Jb2Ya8v3+gMPDA6b5mDhpzSJ8G6mT0WhEu92hP+oDIcp3OBwyGo1mBEtZlsgkALNlVaK0pKjCZ6NRAKWNMSglSdKYXq+DKfpkWUK73SUuDIeDIWmW8fLLL9HqdLl5+z4PN3cZjEaUlcc6kCpGak1RVKRpG43CAUWRoyNNZUN2irFVMG52DqWD8bUQirwsarNhSWUMXgp0muBdiMwfT0czSZ0oiYLfhHMIHZGoFKl1ADjTLIxX1qMjxauvvcZkPOKlF95kMJiwt9unPyywrs31V77Ob3zrN/mzf/NHvPjqRWSm+fN3P+P5S6ustJdQtmK11aIc7PDj9z4H53jt69/k0ovnEeND9h5tMdp6yPXXzzMcTWmnHVZ7SxzubLK6fJaN1VW+9spbuELgI08+mfDg7n12d3cQHq5fe550LaEdJ7z0/DUSaVnuaEaHD9l8sMPF8z1+4xuvsNyLyceHxMoTxxJfDckkiEhS2ZI3X7/MtYur/PTTMc5nHOzvc/nKOfr9LSajPdqdFWyVsbfbJ2u1KCdhrDDlGKoSKEFZokRQmQIrLLv7+3RabaI0xpkxP/jrD/CuYppXtLsrZMkKRaXY3RsxGY0xJgUf154VFUgbAF7C4FblBXY6xfY69JZaSKWQGMpiTKxjrPOkacp0OuXcuXOcP3+e73//+xRFyCC5cOEC2c4OLgpZH0iFV5o4TaiqKmSOTCZMxmOSOK4zYUImhdIKUKRpUt8TVS1nGB5mGgkAofRs7JUqPA4GoDiQE0LKMO45wfLKKkIKRsMh21vbjAeHXLl0EWclSdzFGhBEWAtx1MgLNuN6vRI/8lS1sIQUzVh//NFnYX6on4LDFotyWgKEm2VrhG3rc50R7hz5bNG0/egxw/sOj/eyNqiXzIS6RPBykUogayPBsKCr/U8I0UBlVVJWZSAfakK/0+kEOZV60RvWP6E0IHoSJxRFTlWVxJEmSjIU4IUkTjLOnjvHpUsXWV5eYv9gn6oKcoVCaqyzFEVBYxR/cHBIrwdnz66zvrbKxzdukmQd0lYHa3OKvISaqNVKEUWasqyCnF8ajNpDdqIM4w5qlh2hVFxLu7kgB1aXhw8fcu/eBtevXkIKhXMCreMwP+uQiWNKE8hioWbjuhQSHUdoFSGAVruNFIFgjmo5srIKMo7Oe2wtmTiZTFFa1dmKJUVR0O12cc4xHo+J4+CncvfuXa5fvx6yXFphjoyjRsbR1bKfnlarNZNlLMuSvb1d1tc3WF5epixL0jTBWjOTF2t8RQBWVlbY2toC5MxfpLmuxoQAka/KV+XLlkVgflGkxh/7e77N0Qfv8PvJxMARcOxkvPOxSh0BmP1xQO/JZXE74f2XIkeOVecpvuGf0ArPWp60jzm4cXI2Svj72QXRvlw5qQaPlznA3AD/s78XQenT9iOYbbGYN/LkVlrs2fMaNuRILCo6KifXEUOdEFU2PIPM1gtHwa0vuiKPn/Ep98Np2NRs4wUwfnFDPz/3xdY7Ceyf9fcZOPnFV+iXVx6vy+I5Pak8Baw32+6k4z72vpi34lGz9VPIuvmycuEnfD4jQUSIZZpnjngaOdXFMz96Pxyv8xedaTPeNN96NrDvicUvHnm+/2Y2MF4CGucEkYiIhSEWBu0tsTBENAGoxwj0Lxr3xeMv/S+4/57U45r35neff2zbvyl30tOW0+fl08uXnT1m1+6xMejJ2x9/7/i9En7Pie1IGCLhUMKh6ntsPnafQIuIxd58tG7Hy5ywqL995AtPf/VP3VI8/Z6C3GbTiKfNNHPeQ/haYpHmSXZRyeDJR22kPT2BaHqqIhZa/Jez5Di1HqEsnuPRmXI+fj99RX+9iREpMFUZLqyTWOdROuGFV14i7faQWYfWsuH+5hbPXbrK1uYef/mXf02n3WPz0QP2KoOpDOPBiPFwglaaJMkYHI7YWF9nZX0d7y0Xzl3g3Xfe4c6dO6g4RUiJkJpIa9bW1zkYDFBxzKA/YGdvD+MqPAFQTmRKmVcYkYMieA44S6IESitKA1m2RjtuMykc1y5vsNQNWQlbBznTaRuhuhQ2B+mIlER4izE5QpUc9vfIiwEff/wBzz3/EufPXSISBxzsHdDqZBhfkCaS3kqKMJZYQm4qfvyX73L+QpeXXn2Jy8+dw5iSg70h9+4VbJxtMTUxw9xR+QwiyP0QSsd6b4NiPCXJKm7e67O5tYWNYvq371IUFUmrTZJFyBi8rPAyAEzTvOTM8nn2tw747MM9zq1f5IO/2ufKlQ16vVWk3mZ0WPD5jU9ZXcv4L/7xd/jJO+/z6cd3GfULhFgmjlbIS4/HgHDIWtKlMXBDCrytBwQhkCIIpYTBM0SvNkTITH6knoWlJGju17d7IDUU3nlUFRJKSyqqUiDijHZvHZmeYWvfgmvjvKXCI4RDyTBIVSIkvTrvUUqjVcRkMEEKhZbgrENpi6sslQVcgnNTtPYI73FYHCVeTvFSgFNgPe1kibJa50/+7Ca/++oVrq6sMu7vYb1HRUkwjS6KAJ7VgEsj29Foqe/v75OmGb3eEqN+8O2YTqfoKGiaJ3GQzmo0za1x5HlOZ6lH5Szjac6kEBz0C27d/Yybt++x3x/VEk4tkiwlShTOlLRbCVpCK054+cVv8uILVxlN+vybfzPk8KDPxFbBC6i+Xo0Zr1Kh/aWUlEWBb2c1GNUlzyckScLlS5e5dfsWhweHaJ3MCK/Dw0OSJA6Rue25p0iTCdKAcqPRkHwajOcbXX8I5EsT+QvMJpkAbgomRRF08glAVSQ9kZJESoTMDq3q66GJIoXWgrNnN+j0urz22mvcvfeQaVGyf9Dn4aNNtrf3UJFkLx9TVQ4hJWURCBjnbYjIp45wd01GSx0JjieK0hDh70GpmMpZqtIgCFHixlrSJKYsK4SDKM6YTHO8szXBokBqFAqEQUaOF199iSuXzuLdWd587TWmk4LhYIT1jg8+u01/eBMdwXf+4d/nh9/9E7pLbdZ7y3x+d5vXr/ZYWungnefB3VtQjXjj9de59tqL7JcFayvXSMpV/vX/9ke0N66yfPECeVFwvrfC1qP7JL02452Cv/vt73C4t81HP73JeDLCGku7uxEyfc5fQUtFf3+X24/uM+3vcG41pZNUGFdy9frzvPX262wd7OG8JU4SnC2oqpLhJEfFEdZ72kmbr731Ep/dfS9Er+dj1taW6XWzYNhsK9pZyiTJMVWJ0qDwODdCJQVxZhFRibVjhDTgUsbTEkdCGqW0sxa4EYiSpY6iqiSDMeRTh61aWBRCGqqqRMURQhqszdGJwDuDrUoiIYgjRS+L+c/+8O/RXU4pqjH3H9zjgw8+Y3f3kKIoaLVaDIdDlpdXaLe7HB4GibxLly5x//59Dg8OibQmSWIqqZBKksUJ4/EoyFaZKhi6VxapVW2CHmGMxTtLu5UdBRHqsda6Wpaqvk+U0rPMhUYPXQpFpGKMsSz3lrh+/TqT8QiPo5UlmNJx6/P7eO+JtCZOEqIoJqksUodDSiHQSgeypYmeJ4zlWgXDeONsSP0XtRSFqx92azkr60LGTfje4hIzLCslNWFB419BrRrmghxWTU4ICbL+L2RkOLyQ4dgStBQ1gaRBhKw3JUEIiTUOhMR6T6RVvSANc4WxVfCTUJKiKDDWkqRh3WFrY3WpFThHZSq0jlBS1d4Trp7HwFYGgSBNMqJYI7ynKksGgyGpkqStFvfuPyCKI+IkYZpP8T70gaWlHsPxBO8VWZai1BqTScny+ll+7/d+D4Pg4eYOo/EIFSVoIZBo0rRLWRQoJbHWYeoxVaGIophIB48w4cHa4NGRJjGIkOWmahP6qgoE98HBAcX5M+RFgZoGcklHEVVZoKOIKE6YTHKcC3Ja1lqiSJOmCaZyxHFMrOSMcMircjZmO+ewlQ9Sk9aQlyHzJY4TokjPMnaa+bPb7XLu3Dn29/eZTqdsbGwwnU7DdlFEVRX1HBGI9MHgkE6ng5QxQoQsnIODPdrtNkopyjJkggohZlkn7XZ7Nn8FUjGazV1NlkvIBPzKgP2r8nMoYv5g+6XAx58TWjQDe49iwsdgtqer2Yyq8I8HTD1racD7k8DokyG249uchob7L9jmePHHXtUgqRfzWsyQHH+CNvjJIOWTjv/0LX76Phej74+CyZ6nNVgXC1dhFn1/Qp1P7inzNpE4YmFoqZKuy2nJjFhalHQ4L0Ombr0DcWy/J135py0zAOkLvtSAOEezT456jDRSWqeRI8BcVr7ew98sSPdkgqR5cWqPeOZzOtY24uhns7bm8bu4uY3mwP7J97SsCY4gex76dGO6Lhakfk46lcff/2Wgi/N7YV6T4+V4z29WxhLjg6xb7iJiaYh9+ElQxMg6lC98o2m7xVH5tPIYSSFgbjj/Ze68he+Io++ddL1P28PTbvvLKs9Sl6edNRfL8d7xZYpYeDELWn6a7U94r+l9QXXAo0XwGtHCzvyonPdIMfcnWhwDj/c9ceQAJxx5Nv4040NdA/9soPqTytNdD3G04R6bJxeIGxZCWWbZEfWawIOfay6efrT64yCH9WzneVpT/rJKuObisWs0kzU84uv0HwgxMhhPSaIMjw5Gop0lNi5cIu2tsD8ck3VTNs5f4pP3P6Icf0aVl+xPt1FKoBRkWcLGxjIHB/uYKkfrjDiKETg++fhj3n77a7TaKVJKfutbv8PS8hrvf/AerSyl027zta+9xdJSj7IwIGA8LbDeMZnmJIlGSUU7TVhut4k7mjTLaCVdOllKEgmcszgv+fzOHqP+gCo/wBpPolMMGlNM2N46RERdfCzwKnT5SEmmkz5Z6jhzdoNxXmGsZPPeJr7UrK2eJdIZ0+kE7yR7+7u4/pRLG2ustls8/9KrXOxqPvn8HX74F9/j5dde5trz51hdW2VnJ2d3f4DXPSocOtWkCloJmMKS5wKdrlBWfdJzK6hyyKhfEre6dJZTDvsDrPMkcUqjiGtMhXeK8fCQ27dusNzO6MQZ+dhw57NHrKwoLl5qsdyLWe5qssSwvfUpr7x6hiuX1vngvbtsPpowGmyysnKGaaEJ2RsBrEeAVBprK6COoocwosnw2jmPVGFqkXJBGqWJ+G2IkmY49h7nLXhQSLxxeCSllfR6Z0iyC+z1PUImWOdAOKQMhnjGlPVTnaA0NkRcO5gMB0jnSbRGUaGlRUooTEWqEgohqKocGY0RIkGQICQ4leNJ8E6ivMJOHWl2hgfb97nxUPHq1euMRkOSRHAwGIKArNWiqIowvtZRpq1Wi7zOdoiiAADFUUzWynCVwRpDVRnW1lZDGwhPUQQ5kSyD8WSC0JokSRkOD7j/8BE3b+/wcHOf8bRAJxmVc+RFSeUqLnY3OHthg14n4+qli1w6f5bhYZ9Wpjl75jLnzq5z69YdlAhgUpkXZGmbqjJM8wIhJDIJYKGtiYyiyHGuXRvAx9y+c4eVlRWuXrvKwf5gZojb7/dnEe5SzoGnqqpqmZKiBqfKWcS8lJI0TVFKzaTDyqokTdJZvzDGUhQlZVHhPOR5Ho4hoNtpz4gXKSR5UdbApkETMxn1MdYTxTEvXrtEZR2TSc7X33iZyWTCYX/IzsGA7d0D+sMhW1s7s6wRqWKshaqsyLJ2MI72spZcC/0rjiLysiLSEdY6vPFIpfA2pKRWhcVZDwqMrcAJIi1xxiBURSIk3hRYYzl3/ixn15YpxgcgLJNRifCSRIMxnhevLrM3Lfj07g6miviN//jv8/G7P+XezgEvnL3CzkGOMDmtWDIeTdlYW6XbbQegM03ZGxasdNf5j//hf8Gf/cWf8wf/8D8FD7HUXLl4iVYUs/Noj5sf3sSWhvMXL3LhuZfoD/rcu3+fab9k74PP2bx7l37/gHYiuHh2iYmTxELz3Asv8nf+4PdxOLSCSKVEOqOoBoyHe6z1lumPJpRGsL8z5NWXr3DuBzfZ2p/y6MEBZzde58L5y9y7ex8lBFEsWeol7D56iFCgtWd1XZN11rBmTP+wT5kPEVEKcUraXaPXXiWJIrJEURQD8nKIiBSVKZlUYJ3GVB5TCoLsVIytDFES4wggOMahpEZiiDX83ne+xfpKm9HkgDjytNOIqsjJ0pQiL4l0xGQyZTqdkqYpWmvG4zHeOdZWVxHOz0DW5ieNE/JpjpOW8XiMMYY4jgM5KWVYmEqBdw7vLLGagwhC1r4iXiJE+JFSBKKtzqRoiAUpdSCFk4iD/X1+uLNDrINnhHOWTz7+NJB0UpEk8UwWKopjdKRq/6GYNElIkiR4pTTvpSlZlhEpjVCKWAcvE61jtFZorWhCa7SOkQqEqA3Rha+9UgLx4Xy4XxpIx9XvCYJ5ufc12eOosw4DkVsZg7W104jwtVl6HAgQa7HGMSCQI9aUGBMoo0A+qSMZAdbaWWZjp9M5IrW16HOilEJqeSRUK5BAkrIhUaQMnjHW1otfycbGWe7eucFkWnDj5uesr68hlcJYG7L7xmPK0hBFyawuSkuMqRiMhhz2+0RxTOlCYEqaZkgBkVaYKpDaWdaiiSNsMg89GilCZkVzPs47VE3Az6ZtKTGV4fCwT16UQWoNgfcutIfL6PcHeBckHasqtJmqGTRTWeI4eGxZaxmNRjjn6PV6TCaTmZxWHCdUdX2tdThr8TZkkjbG6d57kiTGWkNWZ1zu7e2xthZ8RiIdQR2A0LTVeByM2xuprSbLMU1T4jgOhCuwvLx8ROYr+GWJ2bVt/Lw6nQ6TySS0izE/nwX0V+Wr8gstc41uMUOGT3849c/06PrkMoMkmyy8L7EPAUdMTo9SGTO4+4SjPvkcF0mD5jhPruDR7Y8fbXa8mb6S5HgdTmvZJ7X4l8c7FuWz5hH4i5kixw2sT69DDTgvkCmnfe8xgLX+cQvgUSQsGSWl1GSyIlUVsQ3ebtbJOcj0jOc6h5q/TB+eZy8E4me+z9lPHcnrnqJ2i/12Di7/auHdcC38rP6L53b879OoRBa2fXI5CQh9uhJIgKPy280uFmW0mowQceRzZn1UEjJIno4AfHJm3fEyv7eevjT187MeIR7f4AnVDO0icF5SesXUxcGEHRsMsYVEex/UMk4YKZ+51G2IF8f29kV9eSEHSRx978hbTzr0M2z7NOVn3c/x8/mi/f2s9f8y3zuRvhKnfPgF31skpRABU5N1loiuM0Xkgp/PF9XspG1O9Cxqps9j9fpljpyLtTrq2bH4ueeop0cYl5wXtcfI/C5pDOwD6fOEMxGLRz92zKfNIvkVlNls0jRY/fdRUsQjcMhnIH1+rYkRR0TlFGXp6C6f4cyFKwyKEmEVMmqx3x/RTjO0jhgMBpiqQKoAPKysLmNdRZZFtNvn8d4ihcOYgjNn1tk/2GVvbwdYDoCBEVx7/kWUjvjkk484f+ESS8urjMeTQMqkKRcuXiFttdjb2+bMmTViLVlKWwjv8MpivcAWCukdWga5BWREmT+gmyXkwtFulzg/QsgWwk/Jp8Og3RjFAVRQCZWxnLlwicHBAx5t73HpwmWmU89oVPLg/iaTqUUKxbA/JI4zzm9cJW4rVDWmv7XLeNxnfbnL737r9/jo1ru895O/5NKVq1y4/CKXuhvsHxhKlxNFEUkb8DFUkp1NhysESrcZFn0+fHSTlbUuZpIjrGPtzBmeu3add99/n/E4x+qEJOuQZBlaZdy78Tn3bv+UCMPayjLnX3wJKDjo32V38zZl7mjFS2RJF2zFuH/A0tIa3/lbb7G/N+Gv/+p9RpN9zl+4QlWBsUHuY5pPmeYlQiuqyoAQKNEsbcLqMAB88/cagOkoKUIti7I4uQiEVJSVx6mI5aVztDuXmeYZzksQHkOB8I6ICJxA1AbgztfWazaQJVJ4WomgGG5TjPdopZI0i+l1ejid0p96LBbnBkilgR54gfAiZI84gXQQxxHeKyxn+NMf7vHWSxu0fJtRf4fu0hLj8YjdvX2WlrsAaK0xxpDnOa4BzcqSyWRCkqQBjFWa8+cv8OjRI/r9fjBCj/VM3946R5KlpGmQ2moyTPb29gKYphWiBqGXuhlXr13i/Ll1rl46R6eV0E4Uz185xz1XsL+/R5pqrl6+xI9//BOKyjMtDMaFCGkVR+R5gdI6gFPGoGUgNabTfAYqCSF49913+N3f/V06nQ4P7m8ihMAYQ7vdpiwD2DQajfGoGcjYeKY45+osEU8URbPskCRJZtHKDWiVy5wo0kSRpChKBoMB+XQaZKeMhYCNsbuzQxJ7hFBYZ0izjNFoxGg0otftIo2lLKcoHOPRGCkk7Xablc4y58+u8CIwLSvKynCw36eynv39Pnv7Aw4OhhzsDxgOxwgnKEsDXlK5AMYlWYo3liAqKJBxgsCjlcDaCls5pPdEMsILWS82JNYFnVhvJvjS0E7anF1Zp797SKwgSkuEzKmKCluAKSUqjljuai5eWObu9pTBtOTNb32bzVu3uPnhu5zrKDpZj4P+AQeDitdfuMLyygaHo4KPP7rB19/8BoUrOX/lOVZv3uUvfvBX/Pa3fgMhFKPBiBsf3+Fgf8LGyjnOXb2IFXD/4RYPt7YZTyZU1oasmgqef/1rXL24QSd2FMNHqCjnW9/5XdJOl9F4hySNqCqJKT1aRzx6eI9uGrG2sszWZ484v3GJi73nePPNm2z+6Y8YHgx4dL/H6uo609EQU0xod1soVXHuQoxONN1ei+0tw/Bgh+HhIZWxCL2EjjvoZBVHSm91g9XeMvl0ROUVscwwzuBUQeWneKmonAEbPDwgMAhVKdBJBy9MTewoitGAl165xqUL6xSTA5SvaCUZD+/fZanX4/zF5/hX/8u/JctaSCUpy4q1tTX29vaw1lIWJVppup0OSob7TApR+w6p4LfhHEVZoqRkdWWZfj8Qebjgj+SswUuFkhJv7SxKQ+BrT44g/yRqMtp7FyS/pKyNxwk+PN4jhSNrpUDYL4CpKioTsk2CXNcIRPClQEhUncWBCJkjshnThZxF9kdahywtFaG1JI4CcZKkwbxea0WcxCRZQredoqIwxuj6t1ISLSRaBVJDax2IHWuxzuK8xTuPsQZjwk9VVeTTnKI0eC8wxoas0SbbYAGs965Ca4FWjlh7lnotkGEuc87NPCq01rPXQMisqEnbPM/ryan2I6kzdnAeqXRNTsmZXwWEwABjwjiB82zt7rO+cY7d3QPSVsZ4mpPnE8qyYKnXpdXK0LFnMplSVSZkPiiFFwKpJNPplO7KGoWFsgr3ojEGrRQgKItqlm2IFFTGUpaBlNYKVD3BOhdIJRlFM6JOCEWSSHQkUTrIXvX7Q6TqsbzURmtFPi0DEZw3RELInovjmMrUhLSxNamRkGXZjCRpSHBjLOPxhHY7kPFCCCKtA4EkmMlnee8Zj0esrKzgvWN1dYXNzS0ePHjA0tIScRTmi+lkEh5QXJBii+P4SIZiHMezzE1jTL3fMZ1OZzYfNfOXrftDloUlurU2BDbU176s58Cvylfly5afy+PuF2Kuc6DsZGPzn1tNHtvfLM9joY7PeqSTACm/EKm5CCbMAMtTiJiTvnfatid8+0gdTv7EH/u9uIWYkUSLdW1eP0sdvqgcb4cjhEi9wRxI/uL9HpU4err6HtnjrEk8GkeCoSUL2ir8TFWE84JKNDHvj+/95OMtZB74+TFP2vZpAbyTaJWm9Zyf593MfEZO2dsisPbzIhu/bBFHXj8Obc9pvye30oLAA6cPPEfJxme535vo45Phd3/kjVk/XNCwn5F3x8iQUJenIAgeq+/jV252bz1Wvyfu9gv2+nR7ab5nvKJwGk1MLipKH1H5IHHkj31jEaR/2voevXdrEHjhg8e9SBaP+fiY+ix1+FlJhV/E/p6lL/8sx/uydTztaszqcsKOj17PU7638FsCCofCIYVDNhSqCOoqYQw+PrrMaVexsMfFWfKx4y5Mk7P1yi+TF1gwfBfHLno9hR0hRxYXJZLgVykIGaOirrx4jLA8/YQeG5ebg/5M5bTj/RxmJj9rCRZNt2aeUOLo2uFpy681MWJcRGEErdYqSxuXGVUSKzJk1MGVI0aDETsPt6imU+x0ypm1FZSWPNq8x5Url3C+Ynt7i6WlHnGsZuBKp9NhabnD2toq1lZsbW0jVYKx0Osus7Z2hu7yKqX1CBXRToM0gjWGdrtLEkVEkSRSUBYTjJkGj5GkTZosoREU0z6j0YCd/QGtVpuqykkzjVAVxo/qKGUbolpF0K32PsSxOkJq46uvv8Vf//CHPNrc49KFqwhRgi7Y2tliZWmZy5cvkcRdDgYD7t97iKr6rGtHp7Ts7+WIUnH24kucvbzBj975K+483OS113+Ds2fPMqlyLCOiWGNshBI5sY4wZUGJp9VdZVSOWMtisuWU4d6Uh1v3+dZv/i5nz53nxr3brEhN5ARx6llea3Hl0hKT3TaZrLh788/J1At885tvcuXKb3PnzhKffvYTrl68jJAOq9r88Ic/5NXXX+Pi5R7rZ9r8p//Zt/mz7/+Ezz69zZkzz9FttUhSzcpqj7K09Pt9pJJMJlOKaRkGVKEQSqGVwlgej95oHhRqosR7E7TwpQrGsE6SGw8qQ+ouK2tX6Y81pZFIHWHsFCkdOII8iqvJEG/J85y03WHYP6TTilCiYDrY5nD7c7qJZ2l5he3tPTrZK/RWNyhNjvEeywS8xguNdxpsBAIcDqkrSmvQcQsdn+Mnn3zKO5+W/O2vXULnCi+CHNbG0hmUEoxHI6IoqoEiQ7vTocxztIpY7i2xv7PH3u4eayvLHBwczAiCwWBAmqXoKKIsSrJOG1tnjwQdesGbb75Gd2mFz2/do6gsSauNUprLly9x5bkLJLHkysWz9Pd2uPnpx4hiSBLFlMUYU3Z5/vmrrK+t0h89ChORdyACiBbXEcbWWsrSoChr+ZMApHU6LZaWlnjw8D43btwgiiJGoxGtVmsmh9Vkg1y+cpHBMNQbYDqdziRJiqKg0+6RZRmTyYSyLGfSKRCidhe1GkN2EDMZK094HemIdqvNUifD2XEglnSCqQxaafAiZJcA3VaL8WRMlmg6nS55nmMrg7EGEUGiHO0kptdaIk4yimKDaWEoS0eRVxzsDxiPpxzs99nfO6DX7TGe5jzY3MIOc2yZEyLRq/AgESmKPCfLWjjhiYTF0fgoJFApjBkT6ZDd9cIrLyFp8+DBA+Ksw0a7RZlPMN4jdQvpU5yUeG9YXV7DUDK5twu+ZOXMCt3sG9z75H1+8P4nfP2N1xA2opJtOsvnYFrQMps8un2Ll199lWE+5s1vfI3+wR5RItg5OOTmzTvgItbXzqFJGA6m/Pi9H9Mv9lk9u05nqU1pbIjGX2tx+do5zm4sc7B1m8IM+Y23XubcxTXG4wPy6Yg0SxBEIVsnUrz2+utUkxHDwYDJeML562uITotvvn2dvMzp7+WAYO1MmzNnXiWKBEsrHSqTU1YTfvDDH7D1/jbD3FBaQaTaaL2GLQWKDsbGZEmL3d1DYp2gdUxeehApW7u7IVPJCERlwRiIgmRUp52gI4GXgtJVlCZH+pRytIl3hk47Jo1DRGgctbj78D53bt1m/dw1zmyco91uY6qKNMpm/V+p4OWQ5znWWqqqwlmLqcpZRobzjnaa4kwZpI8qw9LSElJKqioQAY0HhHM+eCaZWnZKEmYjoerVpAfnZym5AoKviAx/R1owHo+ZTkqyJAUcWkeB4JASpTUQJBKlVCgZMr5UFIWxHDGTjHNChuwDF7IOKmupDFAavJ0GwkW4QKIoWUfPhNdCCpw1NSGiUFrVGR4hCyVJErI0o9VuzaL8I62RKmSMeBeAa2MtZVmST6cURcgCMZWlrMpApABaKqSovSK8QwoLvqTdiXjtleu0shhdA+iNfGFTGsC8kX5qsiqEEGGeUkGyzxiDbzxcvJ1t28gHRjXREjxPoKgqdBwjtCZttWi3M7RWlGUEQgSJryhCRxVSa5TWeAvWWZaXl2i1QrvI4TT0k4YUqevkXPDWinSM0hppKhCSqqqwFtK4Bvydw3s3IxSajBljLJ12m/29fT7//DZJEtFb6pBPC5yVM0+OaIFQaX6stVRlxXQ6oNvt0m636Xa7CBHG4KqqkDJcY+9Lsixjf3+/nv8dpihot9vgg6QaeMqyZDwe1+RZuEY7O7tEOqbb6SGVIk0zqqogjuMgY1nXRWsd7k1jQl+pifk4jmcBCo2fVXPfNt9d9M2K45ilpSV2dnZw/ufwUPFV+Q+zzB4S/UyX+kvv6FcOuz65HMkcgWcGS08rpwH6T9y3YBbh2Wz7ZcHNxz+dwz2+hp/Fkc/r4v0cNH/KY9dfPPWcT6yROHnbEwHnJ+z3WdropD0GEmEOlkgcGkikoaMKVqIJxiu8FxQ2Asep5MgXlWdpn5O/7B874aNSWsxeN7LDc5Ds5F1++bvzNLjyZyuNHn64F+ax4U9dz9k9dFIdj233M9RzXo4SkovER+MvMpfPOg7A+bqyj8vJnVLlE957xjHmy5Zn6CgOSeUVhdfkXpM7TYoilgovaunpY6TIs5bmNgitdzxC/gnfO+Vgv0xs+/gxf5bZtXnxLKTIr6I861gzm4NO+dLiPCFr0lGK5qc2Xhd+njFxbA5crJU4tldxZP8nVGBGjvxyW9RT45OnyMg9fg88jmVKH3BCIWT9GuaM8nHC6CnKrDmfvS2efJSj4+qXLb4mgo632TxLtSHWPO4/lIyRPFdcuvo8a2cvMpwYnNDs7x0wqvbpdTuYwmKNZW11hcG+wWH45td/i/STmIODQ65eu8KdO3fQOmJjI6qjBoN2fzU1dDoh+n5ra5e33voGzgmyVsLu7g7ehWWWVDG3bt3H43ju0mW89bTSjIODHbqtlCyStNs9UJ7dgxH3737O4f4e+7sPKPKCc+evkGTnKIoJ+3v7XL5wBqkiSlMilKpzoSRCKCIdg/BI5Xn44B7Kl/zd3/9D/t2//VPuPdzmhRdfZEVJrilNMc3Z2dlm+9FnRGmKbnu0siSZrnXeJfuDgru3b/HiSz2+8x/9Ie+/+x4//su/5Pnnr/LiK9dw0vLRpx9z/0EfY9fotF/GC2hlHUo7QrgWe7tjlleWmUwM3nre++h9Xnn5NQbFmMF0wrgssRwgraW//ZBy3Oef/Jf/gHt3zvKDH/x7/vk/+x5f//ob/NZvvE118Qr9vQlvvvEm/+v/+ifcv91H8wBJxtJahyQV/OEf/j3eeMPxL//lv0cpxfr6BtYGoLzdzoiimPF4wnAwYjQcMxlPQgSmUugoncmQLMqRhJtIzAD15vEi6NF7vM6IkzXOnL3O7qHHigAeSWFQMsiAODTWgLNzXfssi8FXZIlCuAnSDzjc/4y/87df5f/0X/9XXL5wgXfe+Zj/2//j/8ny6lk6SUReWfAVjhxPjvcZwrSD/JHMMRRkWZu8mBJFLZDP8z//yQNeuHqd59chP7jB8srKjAgx1nL79m16vR7r6+vs7e3NDGWneU4SJ1y6cAFrKkRNAuzu7tLpdOh0u7MIVSUlcRwzGAzJshYXzp9H64her8033nqVvKyojCfrtGm3WjhXsb+3zf72PbytOH9mlVgJJuMBq8tdvA8yPa1WitYhFqDMK8bTKR2lZ8RDZSxKGYxUNahWy/+kGZ1Oh7W1Nfr9PleuXOHixYtYa2vpr4yiyGcm6g1oVlXVLOpaaz277tPplLIs8d4fkTMJuv2+/izo/iNDxHhV2kB6KIeUEUVekitLoiXj8YTllUC2BFmZ8ForhbWGdqtVRw5XSCmCL4F3FKMxSgvirmJcTPE4hLFEOOJU04oVrbhFmq6TRC8EoBDIpxV7/QFCRBz0h+zs7rOzs0eeFwwHAw6LklhGTMuCwfQwECdeEkcd0rQNTjLoH3D92oskWYft7SEGTX9sGD865NKVc9hpjskVlY+DBJSwSBVz6fxZstYKW7v7THzExMa8/PWvc+/zz/mT7/2Qb377d5CdVcalR4qY1196nfdvfsTBeITwEcJ5zp9d5e6Nm+zvHxCrjFdefp39nV2G/RFRnPDbv/0NOisaIwyd5WU+/PgT/tW/+Bf85t/6W0wm+9y5s8X0cJPnLyzxm994k+lon1jkRFIwnVaoKCIkjAk67WWm1nPr1l1arS69bouJtEwnW9y9/ROWu5eBiEF/i7QVcefuHUbjAfuPHpCPh5RJilIJcXsJZSKcicDGeA+2ylBxm9WVM6SJQEhNXpYYF2JcorhLHCcImaGVwFmP8Apbllhv6HR6CB2z0euQZTFbj26yOdwC77GuJIrDA/FkOuJ7f/ZnxDqlfzBgb2+fTqfDeDKmG/WAYOB848YN1tbW6nFOkCQJaZoQR5qyzq4riilJEpPnwatiOp3SbrdptVoUeTXztSjLirIsmU4LqrICAVqEjKUGjpmXEJUv60iVJhJ+Mim5dOkCL7/8ImU+DVkppmI4mmAs5GVBPh1hPTNy0jpA6OD7IYMfTsiIUGgdfCZkI0PlDLiQSSG1nhHhos6scN7V/h4CrSOMDXKH1lX1nCCRtTJVkNUKWtFKq5n3RBzF6EgTJxFKhoyrqiyxlcF7OUNkXD23KOlQWlMVBXiLNTnTSZ8k8jx36QJpHIEOx23kmJpxqsk6gEDoNsSIUmpGjISgCX+EGABwxs9AdtVqhewFGyTBAmmRcOHCRcoyJ45TokiTT8P41GTlGWOI4oSslVEYy/5gxKPtTfYO9olbXXQUIbTAe0mkFdPpGFOWJEkgRDyeKIlJ2xnOe4ppmI9jHa6h8GFMloIZKdWYqOsownhDPp2yt7fP2TPrjMYVdlCwsrTEeDIJmVBazwiLpq+mWUYcB8m1xrw8iiKiKKozHpNZNkeTiVOWJbbOqimKgiRJyPMpSZKwsrJCnuckSUK32+Xu3Xs467HWcufOHS5euoASAmMq4jiencd4PCbLshnB0Wq16iwkMVuHNGR+k8EY5tnBTEaryXCZTqesra3NiK6vylflS5U5R1D/XsxieJZHVf9Mm//ygZs5SLIQd/yz71U8uaWe9P4iIfGMLf2U28+v49GzXYhCPQYcPc3RGxDpi3wyjtfk+Jrg6Htz0Pj0fTT0BjxNXR8jRWZHm5vSahEkgNq6ZNlPKJ2msBFD4fBCzebuZyo/U+ee66A3NW4CfL0PxE6TLeLqH0mQNRI4ECcLDP08evuXgNKebqcLGKZvoqA9nG40LOZffYq2/lnHmtOIpsXXM/BNLAC3C2DcIsf1xfkwx8u8339RXX7WctK1Pem95pgOEbJGvKfwEVMXkYqI2DtSDB772HeO/z6NdjsO385fL5AjX3A+zzou/yLKz4MUEU+5g+Ob/KoIkmcdK47Ph82XT/r+jBzhmKxinVEUsiLq/fpmtno8s+qLpdgW2/30HNdfRGmyQYQ4VsdZm8yzRPzx7zWEifAzwjxIAnqCLWaDaj79+QhYMGb/cucDp7f50/bvpzqGWBTBnEtuLmbvPcuhfq2frpaXz7G0epF+7ql0RmkcMu3Q6fSoigntuIWdjIi14ne+/dvcunmDaZFz7fkX+f73/4x2pwcixntNfzBlqbtMpDNa7WV2d7cZjUoQmkin7O0ecPHiRcbjMSvL6+STArESZCM+++wmRVHy/JVrREkLU0xIVMxkOKLUglvvfc7t+zcwXoNJkN7T60Rk7TbtzjKTqabVOoMzEw4OYXX5LEo42l4SZZCXCjOpaCuNlJZYa6JE8/mnn2ELy+//vT/kT7/7Xd775EPOnT/LoN+nynOyrMMLLz3HYDrG6JwXLj/P+VbC/ffvY0RGKZapsinv333AYOJ4641vs9G9w1/+4C/Yu3eAFZ7t/ojnXnqb8899je2dirt39tA6psodbb1CORzhOxFxmpEPcrZ3H5G1E86e6bH96RZZb4Wz6xcZ93MG+xXjA88//R/+Df/tf/OPePn6On/xF/8b77/7Hvc/f8jbX/9NvBfsPCq49dk2mi6XLr6IrWIUXTrZEndvbqPSM/zdv/t7/PSn77Gzu8XS0jJlOc8oWF4OJMB0MuVw/5CDg0MGgyE6AhCzxb1YuOMFzDTdvQjEhgeE1MRZj7X1a4zz0MdUrNDa4kWB9hJXCrzV4MJC1boK4xxVNcU5QytRODNme/MTvvHWef6b//oPeOXFDtuPPuX3vvM6/8f/6u/zz//1X3Hx+jfpTwLBgA/yRUoYZBUFn414gpUVUQy2aBOLDkW1zEe3HvHP/s17/J//D89TFRVZFSSwhPCkaToDhIwx9Ho9qqqiLA3tVpvRaExVFLRbGQrY293lwuUL7O/vz7TMO51OAGiALGtRVhVeeMpiRBZZlPJsbd5nNJry6uuvY4sDxuMhnVThTI6tCtI0Ytgf4IwlSlI00G5nXL1yhVu3NpnmU+IoxhDAvEaqRkuFrzXa8zyn3+/T67ZmwGGv12VnZwchBCsrK+zs7BBF0SyqN45j7t+/T2VChHGIEvaz7BGp5ExHvtHjD9HxliRJEAhMZWpwDZyLgCbS2VPZiqos0b1WrR1/SBrFdDpdcIJW2qYyFc54pFBYY+lPpywtLeE9DAbDWaZakiQkTtBKU2KVMikrjLO1jr0gTuPQPzsZ+/t7WHLSOETZt1PF0soqWifk5TI6ehEpIiaTnNFozMHB3syk+HA44KDf59H2LrfvPwQ7IY0yuivrXLryPB999BlnLz3HC9df4M//+i/Jlrp8dGeH1197kzMb52h5jTWeqvJM8wn5pMQXJWeXl7g/GRHHEUsry5y5fIUrr7zC//7d7/KDP/szfvcP/z7f+fbvMjyoWL/8Eh/d3uGbb70M0zHjvV0OHxwQyzarq6ucWV7i7FLK1u4W+/0hZeWQtkM3Tcn7e7x6/QrlH/xdrLNs3v2cGx+9z4uXN/hv/8k/IHIOLAgTQMbcWGxVBuBZxty4cYtUCfJpxfXXLmNtgZAR3/rW1/nJe+/x/e/+iPPnrlMYi3GOYIfQY21jFbPmiZKMvYNDnBfktmA6GgRT8DjBVCXlSHPv7hadtqbVVngscZxSVgatE9JWDx1n2KpkUvbptCOWz65z8ewG585e5HAcsn82t7c4OBigkhhXakbjEZXJSbTgs08/Y3trhxdf+Rqf390in0w4d+4cH3/yMYeHh5w/f56VlZXZ/ZsXE4piivSgVcTq6io7O3uh33twC54WeT7hzNo66+vrjEZjxuMRpXHkeUFRFLXEnEGqAGSL2rdISD2L+hcItKzN151DS0mWRoynI155+Tr/+B//IyaTCdZWCKGYTgusA2ODR5Gxnsl0zGA0pChK8rykqD17pnlJkRcUZUFVBc8fW0Fp6qwrRJAi9ODM3EBbqwgv5YxUKY0J84FUKBWjtEIIhfeWygQpv0iqGbGaF5bJtAKmQY4rTtCRWphPVCBd6sVkI+koo5g4SZBSYcoc7wLZdDgZMplMWV5qU/ngPdLIKIXsBT8jcJtMvgbkh0D2OOfwMoxbSs4ltMLcZkizJBBJStWyYzb0VQFxAssrK9y7d4fd/X2Wl7tESYKbBompQKB7iqqisobxZIJzmqosA9kmQ+ZJnGRhPDCBOFN1ezuCjFWSpiitMaZiOnY1eSFRCryxIdJJqVndAyFeMc1zsIY0a5OmKZPphNXlHqWZsndwQCvLyLIsSJnVXk/GmOBTI0RNjImQ2VL7RzXHjqKY4XCIUoEITJIErWK8r2ZzZpqmxMlaLeE4nhE3z1+/zmAw5Nbnt/7/7P13k2VJmt6J/VwcdWWojNSiKkt1V1f3tJhWgxlgBlhgBruzi11gl0YSRlszfgR+nV0ajUsaSGLNYLQFsQAGAznd09PT3SW6dFVWZVbqDHnVkS74h59740ZkRIoSPd075WaREXnvEX78uPvx8zzv+zxMJhPSNA3PW61J03RBcgAtGRi8QebP4AOisV74mMyzI5umodPp0O122+/sIgPHOcfu7i5ZlmHd5wpVfVn+GpYnhcV/s8sXAu1+yvf5J4ElPg8g5iSI/OgdP0w4PPrMB6TI42s4P97DkfJzCRSx+Ptk0Php79hRUuRYMEYEMlph6ciKFS2pnWZmYhKVhYAhJ3FtlOzBEY5G786P96haHobkHlUOvFfm+x1sP28952X743BIhHDgBYrDDjhPQ149rnyR88McvAtZMUsyYRx0tMPgWvjw6QmG5fKYvRcY3gF78xChKg7/GfxEln1C/EPffzqgfA5mHvzvcyVEFm378GdHP1/ukeG+hXFSCU0uExJniYWl42Ug7lpUVRxpq+P+5pjPl3izI+TIo/Z+dHla2v/TlMdd45Oe/2AueLLz/VWRIcvn/lTg+ZH/n+gTviAf7RJBwoGnxhJjujxeDp1ocdwnpQeOVuZpWvlpWqOtt+D4bBAxJ02WZbYO7z6v6TwARLTtE3xHlmeRpyuCeWt9iv2XOsaxs/ATkJxPco6WD3qobQ7IERYk2pOW32hiZP3MRcrG0/igraakZjgYgAnGw500Ra+uMxptY4wj6/X5i7/4KV996atoHfPBBx+1xp8R3oXmbJoG5zxaJzgnSJIMHXVomhB9r6SirgIQpKWisZ6vfuVrPLh3j+k4Z9DPwAvWNzZ55+3Xeeft19GRCFkjMsG7iFgJlLQILxnNcjrddYSM2Lz4EkKM2NqzqEghoz7nzmyC7FC7AqENdT0F74m7KeWs4tq1a1RG8gd/5+/y5z/9CXlRI2VEt5fQSbuMRmOsBBlpPvzoNh9XBantM57kTKMEEa0hhOfO1j6qvM9Xn/saf/j3n+PHP/4xUZbx9/7we1Qu4ca9EUWl6PaHlGXQt090xv72Dv26y5XLz3Lt/Q8YDoZ8+NF7fOPb3+Lv/eEf8hc/f418lqPjlIuXL9NNNPdvfMT/9P/5p/yj//p7/NF/9nd54fwz/MVfvsq//ZN/x3Mv/hZ37xdUueL82UtcPn2RaZPzwXu3eOHFVc6cf5l7OxOshKsvfg0+usb9Bw84faqDjCKs9ZRFhZINSZxw+fJlzp49x+7uHp/cuh0kPg4xi64Fmlxr8CpxQuMcOBGj4gHDtSvs7FuaxpAkfRpT4XyFlAZBhDEN1giUivA4rDMIb4mkI80UdT7G1Vs8d3mN//4f/wMunO1z46M3GfS6JMmEV165wD/5n/8lioZhFlGNShAGhMFjEMIt5FG8gqIo6WUrmCpE1Up1kZ+8/jrffHHM8xtdpJhx6nQfYQWT8YRhbwUhPbujXZxwdLt9bOOoypr1tXWausKYAPB3u10EAqWCDMvcsDxOkyDF5HwADCPNfj7BmZIkSVlb6VPmMz589002N8+gtcTWLngPIJhOZsRJTOlKsk5Gp99HyISLFy5g7Y9a4MtimiYAiKZpM310kPJxrZSPdUwmU3Z3d+n3ewwHq4xHUwSKsqz46KOPgs+CFPQHA6qqYjoryLLOAniqm2YBqOEljWkWev5znX/b+tcYH4zUvXLUTYWfOYSOwWm81JiqoNNJ0NqhNXTiPsYU6FixP9olSRI6nWDeHjJRQvaIsZarL7zArKq48/HHeO+ZTqekOqGqDHk+QgoNDpI4YbC6At6xvfOApqnZPLXGbDZDyQCAgkcBVVmjZYT0DZES9DKFFjEbq+fx3rGyssJkNgMhkVHEJ/fusT/O+dZv/Q5/+ic/4oMPbzGpavTeFi+9/Cxff+kSP/rL1zh17gr/j3/yzxiPc0TjGQ6HIEHg2B/v0Rt0SDsZpzY3Md4TJYpC5qyd3uD/8H/6x/zsL37Ca798ncHKGs9ceR7tas6fOkM1mtFXivF+QSeK2dvb4dKFIb1shvclF86nfPDxq/zlX/yM33r5a3z/h7+D8+Dqmq++8CI//8Vf8sG7b3JqkPG/+0f/JZfPn6IaP6CbeGrjKfMcqROkDDJ5phb0+6u888tfYrznm6trbE1LylqwsrLK9773PVzV4YOPHtBdOY11kihK8I5WylAymeWcPXOa+SP45s0b7O/t0NgGGot0ARSe+hLjY7JuShrHCCSJ0kynU5SSXL1yic1Tqwx6KdZU7O/s8uprP+Pm7XvYquHs+fN8/7vf5Wd/9r9SNYayqijrmiTJEErS6fQQQjEZTbl9+zbPv/gib7zxBiurq4xGI06d2iRSio2NDTZPnWF/fx9TNkSaNpso+EjNvTpClLtovSAUp06dYjgcUtc1tXFUZUlRBq8drTVJHONFAJZ9q2MaDMgdwnuUVCGLxpoWkGiAhtOnV0lTzWRakbVAspLBpBwRMj+iNMNZg8MTxXHw8nEB1MCDFR4sNMZRVw2NCQTJnFAti0Ce1I2hyAsmkymTWd7K5QXT9bKqMW5OiCqkDDJezkEUxRhnMY0JRIeUrQTXnDyX1NZQ24NsBK0VcRphTCtZZkLk3NxrJEri4DWlY5ROaKb7IaPDB9Nw1WaGSCECQWEt4+l0YSyfJMlCHtA0BqVDFp2KNbI9x8KjRClKa0nTZEGyOBdAeaTHYKgqqMoKAaytrqKVQCroZClbWw+Cr0mnSznapypDllC326HIR5RVTtof0u11EUIiIihnM2IpSJOUqrGUdU0UJYDAGrvwzQAZ3mGEwAKmsShtQSiE8CgNSgbZNAvcvnuH9fUBTbPCbDZjZWWVqswXgQ1zIilps2vmxu4QZKmCkXuDVKqVrQpQRZamDAZ9ZnlOmiSorm4zf2oaY+hHEVIqmiZfkOlCCO7eucPGxgaf3LiJ1hE/+Bt/g+vXrpGmGUkSCKwojtnZ3gbC8zqKNFmWLeTSut0uRVEsMlXmcmlBvq5hZWWF8XgcFv7e0+l2wMP2zjadLEOpo/awX5YvyxOWY99GvyjY6K+Sevn1O/dJWSsHr/Qn7fdZy5FjH7ndcwLj5N2fLnb2JLN1sfT9HHI5jhh5HFVzUk0fHWfP4hspHKloQEGlNSOdkemmrYnCWf0QmHQA5hwGvk+u2/FkynF7HAVBF5TRPFvEi+BR6iXSKwQ2RAaLeSs/fNUn0WDHlWMopEds/TkVPydEWO4pi/Mv1/+LJHEPUy5tbPY8UrodJ8uQ6zLZN/c7OOjjS2Tf4lI+PWR8ULfHHeMpCaBj9zpKAy7//4CUmBNaFtVmjFhiLJloqKUiERLpHeqoz8rS75Nqe/R+Hz++jkXOj72+44756K0/fXkSUkSc9OWnOMejPvvfWpmPrwNJLRaydcuzhl/6F8TSeGSpAzxpix30wMPHffI6P+7oy38t940lhHKpGn6RDfPwMQjPaN8+3/Ct30i7jV+e356ix8zP++R7LHacnxdBK5v4xZSHyEFxsKY4Kqn1pOU3mhgZzUrSTGG9QxOAU4TEGYv0jrr2nD19Bmcbfv6LX5JFitlkyofvvx8MNqUgiVMsMMtnrK0N8d7Q66RURd6CCZBlXfZHE158qcvOzhZpFlNVIcrc1DUvPPcc/azDJ598wje/+XXqpiSvGlSS0e1l9PoxVkR4EeMMrYGQwlrIy5Kt0Q1mlUNFglh5bJEjrCKN+uikD3qETizohiiWRDpBJikrq5sgYz76+COcl6wNNrnxyc0Q6e89D8yMurYBKI4VpgEtOmilEHGQA9FRghAZKl4n9zWvX9ul1xvy4nf/EKEEd0cz9kYPqBtNEvcpXYGxNXXkML5iZWON3Qe7SOdJ04TRZERn0Ofj67fYmxqGww3qxlPVNZWt0KuKC8OL3LvxDn/+01/yR9//LV44dxr/jZeIsk8ohMdVhvW1c3S1YHT/ARNfsrMz4V//yc+48tzXWLtwgf7GaVRe8kJnHfXBB9y88RGnN9ZIpMCZ1ptFKqbjMUmScfHCBT66eSP0FaEQLjzeg1qLZT6jVEaB6tK4hDhdZ23jCrv7Bu8SlFKtiTrB/Ny4ELUjPCqq8aLG1AbnLXGk8MZhZhNMuUOiZnSUZOfOTfLNGOljlBCMp7d5+eWzfOsbL3Bn6y7D9cuMZjMqYZDC45Sl9hOMF+BTtEtQIsU6Q9wJEi3O9ZlUV/lf/s1d/i//55cx8i02zp7m5oe3qSvH1nQbqTwi8sjUUVRjYpkinKKY5XjRmtE6R5KmlGVNHCUtgG8oypIyr/A2EIfr6+ts39/COYPzYF1DmnZ55pmrTCYTnHGcvXCROI7Z292lLEv296ecOXMerRWjyZhZPkFpy/lzZzl9apPrt+4TqQjT0r/O+5ZkstRlSZRqbG2o6gB2CqmJk4wOECcpcZoRRwkbp0635KajLGsckCYZcZxRmwYvJEoLqsYihKLXHzCZTFrzY4/WmtoYnJBYA8Z6tA5Ar450+LzxGKPxThJJibU5g+EAqYKGvDeGvf37rK2vYoyjLItgxptECwm3LE2Z7O0xnU6pq4pOpxNeb6zDS0lRFgB0e12qpubGjRsg4NSpdYpZjrMSJROssWgp8N7incM1Desb6+zvT2hM8ENJYhgMOswmI0w1xhaTYAacpmwMUl587nnu3LrJn/3H/0gtungVkSYR0wc3+frFVdbSb/DP//1f8NLzz2JNh3I/p2qm+LhERoLNiz3iNKEoZuTlNt55RtsNWdpBuwozS/nt73ybr371Za59+Ani4xucO7XGRq/L7Wu32MktsU5weFY2YbA+Iq9HaCHY3Z3w4PZbvPL8earxHm+++ipxf8jd3RFFU3Hv3i3ObKzyg2+9xLdeeRb8BBk3VDSQRmA8whiqvCZSEfe37lDXlqjT58rly1RorPBEUYok5tyZK5w6s82PXn0fl8cYgtxaVZZELUnnTPAuUlKTZSk6yRisrlFXOdF6RnewHiL6lMRag/WeURFIPecq6qbkwqkzdLKYO7du8M7OFtPJGOlhZW2Nr3/tJU6dPkMSR2jh6PZXGO+m3Lm/y/2dEXEaIeOUtfVNdnZG9IdDbt+5y29/7/sMBiETqSwrer0eaxunSNOMPC/IZyVYz/5ojLMhUr9qypBp50Omh9YRURRTliEzBEImXawV6aDHynDAbDIB57hy5QqT2SycryioG0NTN603k2vBdINvhSkaU3Dh3Cbf+ubX6GSaM5sbSE/w47DBR6sxweTcthJCxlnq0iNckJMUIhCtXgqUUKRSknUipMpaia2llzlPqIv3FEVFXlRUVcPeaIp3sD+eUBQ10zxnMp0Fw3cC0G6cWWSKNI1pP3NLx/YoJVsygkC6WYdHoaMI5TVazeUAK6Z5IJ1VFOaANOuRT/eo65JOEiO8xbsDY3AtwxzVSROU0pR5Ecy7hcSJIIUlpERHCt+SOc5YrIfSOaIoIo5jZrMZ4ImjNhxAOpw3CMAYS90YppMJo1SztrqCsQ6pFb3BkNo49iY79Ho9BNBJEzw1/81/80fcuHeP9z78mPWNs+AMWni6MTQojLM444CIPG/CuiMCJwxlHTxPamOQMkLpOBDgToBUOER4bmqH826RQVLXYXtjHFJqpFCYqkFKiLXCSYFpQgaGNQLhgkeNFJBPppRliZSSTqfT+kYR5A1nE+oyePHEaUyvu8L2zjZpJ+XB7hZJklAUBZubmwghKIoCayz93oD1zU2uX7/Bc3fvE2cZDk/VBFP1LE5Y2zjF7u4uVdPQ6XSJ4yDN5Zyjauf8ud/VXAJtnlkSsqksQkmyTkpdB2lMHSlqUzOZTb64hfWX5a9PWbyvPu2rY7vPkqH3cQf/dQBtDoEjv5JyEFv9JEDWUfjli63To8ujo5Qffz8PSI7DAPFhyJul/y3Le/iDOpwQYvqoyNfj6IrjgFgvBMKDFpYYQVdWrEQ5hY8ZyYxxnWK9bAmJ9igLwOoYAmLpP/Po1ZPKw+3rT/zOL36CfJZFYrxHOI+UQTP9MPT3+LY5fiT86sbHcpbCQSaMWFTQn7Atn7qGj6NUjgKfYnET5+TIMpa4bOY79zw4SgK2KOTS789SnoQSOu77pwFAn2SWOlwPT/C8cT74jdS0P15T+xAIJQ+1yeOJg+XP/Ql/n1QeLZF0JKPqMcd62vI0hMinPfeTtN3/1sr8OueZIRKPEktSWksZSUFOyh/4b89TT5aAcY94zPMtlMNz+LxnfbpWP2mvJ+vT7fNGiINllvBHvg9nmX8/93ASC5JEPHyMp15nPP21P+QL9EV32kPH90uESPCv/GuVMVLkM9I0JtGSuphgjG0zAqCTddjb3aUqRuAd+WxGhSNLU2pT0esP6A8HCKXIspjr1z9iY32FbjdDKhC4VhNc0O8NcNaxP5oiVUwcpYz2J20EIeTTKU0TTDWddxjriJOEbm+ATvugI0wtqY3FmQbtDbiG6azm2atf5VxnldI0xFqgqXFVSVUIylpiXERpSrx31GXN/qhgY/0svX4Xaxuk6rK6EnP//g7xXkOW9oPkj20Nc83BI1/HKQhBZRpcU6NwxCLGK43wKZUV1E6yc2+MtXtEUQCRpQogcF1blAqG0TpyjMZ7dDKN9xprBZcvP8uHH35I1RjSpEOZ13QGqyjlqU0FyjKZjanrETrrcOvWPj/7yduczhy6F/H3/rO/yZ+/c4t7d/ZJoghT5Ix39zn/4jOce+Yl/uzH7/LRtRvszhrWN88wGAzY351x5dJzXDp7gXffeh3vLf1uhlJQ1xVRFCOE493336YoZsRxisOhRIjMdT5IVSipmRQVKupT1Qodr7C6dpG9/RrTpHihW3kUh8e1izaNaaOChfSE1FGLoMEaC82Y8e5ttC5JkprJuOajDz9Eu5yvvfQc/f4GSWaJs4S/9fu/zf/wP/5LuoPTKCzeljhRg2xQygWAD40kDtHFQoG0IDRSRYhkk4/u3Off/vge/8d/cJUb199HIEjimKTTJS9nCO1IOoq93R2ki6jris5KlziOcMbR6/UwxlAUBWtra3S7Xe7dv98SQmYBUu3u7gLgPOg4RCTf39pipT9gfW2DqiyZjMP4qKoK5xybm6cDONX6BggpsKYh63Q4e+Y0H9+4g5capSTOe5qmpm4iIhUF4M8HmR0I5MxslreZIYo4TpmMp7zwwjkuX77Mhx9+GKK6vcc7QdNYjA9yJkmSLJkZB6PfuTl9HMcLUkUQZGpka/AspA+AbWMwJoClzjqkkiip6HRipHAY0xBJjY40QgriOKYoAslRFAUrKyvkeU5RFAgRjKiTJGEwGCAETPZHACRZ0L2XSlHVFUmatFr8Gik11nqSJGNSjVEiwjtHt9Ojkwl2d3aIoxBVbGwD1rO7/YA4CsC+Up66LpC1R8kUW9T8+z/5D4z3pnTXh1gMjamoi4KRq7iwdorf+9Zv86PXrpF1YzbPbbIzhfv7uyE7qnLMZhalJHEUhWv3M4yxFLlFqxgpDevrm7zy1avsP9jFTLdxkcXkM8qZo8mgpOHURgeZwazcYyXr8dM//w/sb93j1DMDhsMBs/0dnBQM+xk9H3P18rc4f3rI3/juy8Takk/2iCPPeDphMBygREpjKqTU3Ln7gN3dfdY3NvEq4uyFK0zLGi80OI+pK65cuMCdZ+7zjVe+yl/+8i5OxUipUVohdRTIUNWqskuJ8Y619TW0WqMoZ+RFQVmXQf9ZaTxgrG3njjb9N9JsbT2gLias9LucPXeOfu8FVofDkNVhG/Z3t5jNZsRas7Fxlgc336Mxlp//4i02N/+A/XFBbSAvGr797e/yr/7Nv6FpGvqDPq4F1998882FjNCbb75JWZaYqsJ5TxxHCyB+LtE0l5MTQrC7u4tqfTvmJtdKqdb3wy+8EIZS0u/1W78ci/OesigXvjyTyRQpBdYapvmYH/7u9zm1sQYeulnI1OxkcZAK8m4hUWdaY/O5T5J3tJ4fgXQJhvAW5yQCg7cCKwQCuZCjCC/fwTC+KgvKoqRuLLYuqI1FSk8UCbI0wtoEIQTWW6SFVKcLSSpjWoP1ug5gtRQtwRnMup0LJIXAUzc1YTUenptaCbyTVHWBaQxVUSM8mNoihWrNwGvitq3n4PhcLiuA5uH33EcECBmrWiMlNDZIHs69SObSYfMMDSlBSALp6oOMk7OWKI7Y3NykKiZEkcQag3UGrGQwGFDWYZ7tth4YSkqk0Cgp+G//0d/nf/nX/4qz589z7YNr3PvkLspFIdJWpHgZ1mHW5FTeYXwUolu9I4qCDJlpGvycgPJBcs3JQDbPyYM0iXDWMR5PyfOcdDggiVPK6QylNbiw8PUiZBVWZYX3kCQH9y+OY6IoWrRNXQciZDqbBG8SLVsd3eCH0u/1UUow6A1oTEO302E6mZKmCUpKjDNEWvPSiy/xyY1PuHnjJt/4xitMJyOMDQEzeZ4DcOrUqUByGMt0OkPrNqNHH2Rkzg3n67pe+IrM/9ZxtHjuBuIyeKmkafp5LqW/LH+NykGM+fLb5EmxtI+KtvPH/H30N58JEDp8juMB3UeVZWD+yc7xeZXjAcHjyhKV/7md+7FljtQ9Beh6cD3H73MoSn5pO7H0c0JFluAnfyLOGzgK8VSQr1/6OVqk8MRYOqphqAsMYW1jnKR0GuPUYqQ8VOMT+tSiWZ+4du1+jyBFwvtPeC8yXiJxWEQAbzztc/VJ/V+O5rv86snLhXSWBxYSWuLINsu/P2sNT9jfc8Tj4KBt5rr9R4lfwZwQcQekyMLrgIP/L670uKs65v/HVvFJ5oNj+tAJQ+jpytFR9vA87PFYgt9I7TWVjyi9JvYKJTwaRwgVOv6IjypHSZHlfU96Cjz6mufzxuc71588ry19/5mefydf91+HsnzvFR7FPEvLLdYxtMC/OK6zHHoOP5nHxnwOP0qQfJ534MlIkQPCVoiHZxLhH/5+ThYJf+CptbAMeKrMtXaM+4OR86TloO4Hnii/6rLwFlkixp5m7P9GEyO9TgyuwTUO15QLIkN42JuO6GQdIi2Z5cXixf/chYvsj3apTM03nrvKRx9/zP0HD7DGcO/ePV54/tkQtSkEpq7QUtPrdIK3QuUCwICisQEElULivGUwGATj5rLCW8dkPOXatRvs75fImaUsgslnrGXQ3laay+fPkKqU0d4+09ke5zYTnru0gnCOymVM6w73tkp6DGm8Q+g1yrqiKh1bW2PwGugQaRuMvkVCML5yeGdoGoNWMWmaYmyQgkIKdBzShL33hKdWmHaEyHDe0cl6WGcwtsLjKIuGJOmilUImMeCQyrC2vs5of5tef8hkPOOe3GJtfYNPbt4iThN0nDGZjpA65vTmJp/c+BAIcj+icqzEa9y+PeLcS+d58aVnmfMOg1IAAKQ3SURBVNBw/aO38C5hrbtOJ9Zs37+HTyXP/da3+L3f/W3+w5+9SjGaUCUDZo3g1GCd9fVV1lb6XDl7jn/3p/+K3a0d1tYGRInGeks5HbOzu0MSxW3EcQC0BeC8QsiExiimU4PQMFjZIMk2yPNguC3ap5+QDofFOdMSIxJEBIgQre9q8AatGnAFRbWLYIqShqbJ2bx4ljNnLzCbGd745TWE0lx97hT7sxEvfeUS5y+sUdmafi+jKYJMC8IGeZGWyJGCoOEug379It0XhRFr/OLt+/zeD1e4vD5E2jFVU4L3yDgC7XDGsLF6CsqEKGnQiaKsCrwJ8iXT6ZQoiiiKYiEr1R/0mU6nC6PYOZATxRFCCZqmQbf66saYADpNp0AA9JqmQRCIAaU1OlI0dd2CiY4LF86RvP4WdWuEDAJrG0zTYCPbgqEW6yTO+YVJ7RycVUpx69Yt+v3gNzI3XF+AjFIsJEvm0ipSyjabI5jLz69hHrFtGtdKtIAQao51gm8wJhgUKyFb7XdDEickSYqwBi0kXd2jKptAlLWR7EmSLuo+nU65ePHiAuwajfbRWtPpBMmvyd5sYdo+N4TXWlNW5eIezcFq20b/l2WJ9wIhJGmW0ul2yGdTjKkxhvbcDu8Fq6unqGuD9TFvvf4O+1sTBp1hMF1Wjv29knxtlW7UY7RdkjSa7774Ivul4a0P3qOz3uPchTNUxYyymKEIGTE3b35Cb9Cn1prIVuTFBGehPxuzffcWnSTj/OZplLXs7t4j6SXU0nLzwT1UJjgVn8brDr044aP338WVnvPrp5nt7UM3+Jqc7Z1BZjHdQQ98w+Vza1w6t4Et98OCyQsGvRVm05Jup4OKBEU5Y7h+iuH6aa7fuMlwdQMdp7hqFqSeqPEOkkhz5cIpXnzmAm+8dZO8LlBpH+sUVSXwIkYogXU11hl8XTKUHaTWmMZSFTVEGdZ7IiFRWoEQmEU2gEKpCLyh0xuwvrFOVeaMJzMm4ymTyT5xEiMUIAXWe3r9VQar59jfvcmrr31AEnVI04RZ4bj63EucP38B7/1CZujW7TAW7t69G6Li85zt7e0gm9UuJIPHTgDZ5wD6nBhRSrXk42wxhpa9K5wLwO/du3cXBtNpmgY/hyRlMOzj27ljdXUFIUVLdK7xytdeJkvT1lQ0APbOEjwnWt8JgESAYy4BNTcWPyBGnAu+KNb68FyjnQc9AUTGIdtHm3MW7xqauqAoK/KiYJaXFKXB+iDRVTdNkO9zQfKpXjrmom18yFKRek5AwCI6Zb4wFS154cI6JIoTkk6KKsA0AfzWMgAuUmrqOhi2S6XIl9p77ikxv9YkSQ4tjq0NMl+ekFWglF7cO62D18uywfd8n8YYpBR4YxDC0x/2WFlZocwnmKYhjiMaZ+n3+nS9oK4aJIIk62Abg5YxRV3SSR3/+X/xAypXkXYrnnnmLG/8/AOaUjMtLRaPUAalHFqGF5est0KkFc4YnD0IYgneTWG+nRuTz+fvpgGtBEmakuclsVI0jWFldY2mLijznCjWSGMRyCX/KL+Ym+fz+7x95qS5NaF9kyTBWkuR51RFyWAwZDKZtCRKhVKh388mQdYsjiKcsawOh6wOV/j4o2u88PyzZJ2MpjkIIpj7hsy9q+bZTHVLsM2N1ecSafM2mD9fu90uXhDmZFj4lwD0ut2nXzB/Wb4sLJEFczB18RJ9FP46BhB++GAcgA8nAeaftsyh4YN/jzvao154n5wQ+fwBs8eff3n7z3b+o+TKE927Jz7nwyTPcff76HfL/3/4/EfPfQClHP12Dn/NSZOnIx9O6NdCIH3IqI6FoafLIAXqFKWJyFVEhcd6FbIZj6DjjyezHlXBI+0mjnwu5v8T7Xt6WKk5L3BOYNv1gRWyjQwWuPYgB74tJ7XB0fH0V1fmmTDh9/x6A2HyMB33eZYl6bH2XAvscFG3+ZbtJy3Zccj8mbmkzwHwdpBBMj/YMaDckUt6NLB+EjV0pIXEw3U/mex+5AkXY8w/dn+xyBipnKYUEYWMiL1F+aCMstxOPOZoj6jOifsc/s4/9N3RPY/Fzj9leRwh8rhtnuYcf51IkeVrnd+n4Jnh0MKicQfZWv4ge+S4NcJnJaRO9P34Aspxc97yvH3c58t938PSOJtbrweSZM70fvorePI9D+r26AzPL7LMn9jLc/XT9IXfaGJkfTikqspgvGlrpKmR7c1XHrwxFHVNkeckSULWH5CkCd976Xv84vU3+ODDD6jqmvFoTBJHXP/4OhtrK6wOBvR7HfK8DDrqKDwRdW3RUdBBl1JR1xVJnDIZ7/Puu+9TVwHwTLSiqgzeeM6dOc/p05tImdLrdEgiSxJZYg1xPOTu/SmzW3fxtgZXkWhHnd9HRWt4Vrh95y5SreFVCpFCRJIk6VDklqauSdOYOIopypxpvh/MTpPgaTD3TMjzvAWuE4QMixDjguSJUISIaJFg62CS65FoFbh+qYLcVDErMLpCqwRjalbXuuRFDnisq6lNzjR3PHf+KnVTUTQV07JG6gCC3X+wAz7mlZd/m60Hd/jgrTeRWYItHa9/dB25nmFi2J/sc3rjNFeubhK7BiWHvP3JR9z78YiXv/49vvOdr/Pzn32EsoLV7gApNfn+lLvXP6GpZjz/zAvsbN/h1u1PWN9cI1KKnf0dyionUlkw41UsTFilSqgazZ27e+SV4urVK3R6p8hLh7W091oTLGgczluct3gfhp1WMU3VUNU1StZEkcGaKcXsAU25TZZZoCKNPFeevUinP6Qcz5gVDT/72duo+Kucu3iWFWc5d27Iteslq2tnqWXFZCZwEnzr04EUC9BICE9rfIBzYAwotcH1+3v85NUdXvwHz9BUv8S7hiRbpXI1lgrbCKgcwhksFikFaZZgSkdZlFhrWV9fZzabBbIgCpGtUkrqumY4HNJfXWW0s0Pd1OyN9nDG0u/2yNtxptt+p3WYXpxzzGazFvRiQaJYC1J3ee6550jj/0A5LdqFqAzR4a2nSIgiD5k6ZV2RmoSyrimqCqEkSZJx//4D9vf3F8Ci954oihBCkGUZs1aaah6VPQcL58a383pqHfwTqjJvwS232FZKFXwm2pWo9wHYC1HAwRQRwDvH3mifbrdHkijiOKGugym0NS7IlKVhXIZoZk1ZhnlMti0QRRGrq6uBzGgatA7ZLv1+n2KWLyKhnbUUs5ys26Gqa5IkRSmD95b9/b1ApklJJ+sEgNh7auMQaOqq4YNr1/jw2j1G4xpnFMOVPu+8/yb9QYq98Cy5cwx1ihvv0+vE1NrR6Smm+RhfwMbKEFE5uonmz/7sPxKnERtr60zKAiU1CIWtDFYVpDplmES4qqAqa2wjuPr8c7z5/g2mtaPfGYA6hbMJOnK8+rP/Hy43DDoD9se7mLphZWOd6eg+H715kzjV/MN/+F/yza9dRdgc5WuSJJhuSxWRJhJrBYgInXSwxlE3jsp4Xrh4hcoE6UWBIdYiSDo1M166eoHd3TGvP3ONd6/dR7gESQwqwglN4137IhcA+KoxdNIOUkYkSQ+ZpJgiD941baQ3PtzZxjjSOMbVjp3dfQSeRGuEd0jvSNIMJxx1U+MBLWOEUDzz3Nf5xU+2qBrPa29c4+rVyzRWs3nmAuPJlKax7Ozu8dWvvoyONHt7e3jv6fV6QTYtjinLgrgFnudj4QBAPjCMngPzYWw0zJc6YZwIpJBY07CztRVI08mYLM2wziIQpFmKkpo4icjSDsKDlHDl8iV6nR5lEQjNxniSWBxIFiytXObRhFIIhGSRabZYoLUvtCFzxIWMA8tCkmsZYLbOEccSJaGuSopixngyoSwMxgeJrsa6VsYrEDHWBWm9eQlt1kbum0BGiNabJZDToR5zbwzvfZC2sqHtpeoz2h+HLA8koiU0i6LCWIeOYoTISdN0QXLBXMqDNsPNLbJ3hAiLzkjH4Tk+B/utResIwVzmS7ayD8FDBuEDMaIVtq4ZT6Z4cZBpYhpDkqU450mSlH63R1PXZElYV2VKIyLNS88+w7/72X/itbff5uKFF1E2oqw+QZCSZBD5hqKYgAdnA+qglcbpiLyug9xnO4LwgLUYq4icx8swZoQUSCWpqoLpZMqpr3+N0c420+mM9dUVrPNY74mRxLFGCNmSw/O52mOMxVpz6FmUJAlxHGNssyBA5vNpWQbieU6kVFVJt9s9RHZUZc7+3j4rK2t85Stf4Uc/+hH37t3jyjOXW1KGhXQXQFWWSCHp93st0RLIkyRJ6Ha7lGV47sZxfGgMNk0g6uam8k3TLDyBlvvml+XL8jRlAdS1aOBBcM3yS+1JgBwc/5J8FDz/NMDrw9vPiVMOAR/L3z86Uv5JXoY/7yjiJz3vQWnb+jOiX4f8DY47/lMf8fB+h/vEMvi7XIeD754e1DsMxx6FyJaFo54U2FwGkA7/brNjvScSlo6skXgKFTHVCTOXAFBZgRdyUac54HMcMA0H4+jkGi6vKQ5/fgBwHwV4DySnLALpZSv15VqnkXk9XJCTeURbLB/10/aKz7MED5U5SbJMhcIXW7d5T12S2XmIUhAcglvnmSEtKLssFbWQ2GqJk+Wqi0P39ugZjn5+8P3RcXxcaxy3/2fJHJkfLwCqR0HZh4kH5wXGKRo0pYwoXEKMQ2OJlUTN76w/TI48dZ0eUR5NnDwaKH+YTHq6Oj2OHPm0c/pfR0IEHp5L571OAko4FA4l3EHGlvDIR/bz49YhR3vMo/eeZyl+0UUsXcdyvzyRHBEH2yz2adtMivBuJb0IkostOTKf6x5Z/MG4+TT992HJrl91Lz5MhhyV8nyS8htNjIx394ijCOoGbE1Xa7yDqqqJ4pSmbkg7PbK0S2Ma6rrm+kcfA45+t8sH167R7Xaom5JIJwxXevz0pz/lKy++QBzFzKYzrHMMV07h0SgdUVU5TRNevkNUH8zyCbdvXWcwWGEyHpGsrZLEEc8+8wyn1nqsrg4p8wBWejPDmpzZpGBEBSqlcQakCzrcfowUu3SyHtfv3mM6ndLrb+BlQpb2mBYTZvkUnKTX7WOt4f6Du/T7XdY3BlSlYTYLMjZKKeIoAC3TaZA28rTm2WlElqVIJLapqS0kuksUJzjvGI1GZJ2EpilRMpjHz6PohZDEccK9B3kAFqWg0+lQVSWvv/46L37lZaK85Na9bTo6pa4brPV4J5lNarJkyDe/811WeooBBjnZh8jz2pu/oGwcFy9d4tnnLnP9vbe4cOkiK5dP8+NX3+DHP/kPvPyVH/LSC89x4/oW9y0LgDJLY6TQ2Lri1PppvHfcuHWd9c11puNJYH2daYGsEK2LjJjNDDfvblFXMV/52ndYWTnP7qhE6y5oRdPYdqHQgvPeB+3ZdtjZqsY7h5IeKRqaekRR3KeY3ieRBRJPHCtiHXwgpNJ4EYNUNLbi5794l86gT9brcfbsGq+98S7RYB2lBBILWDwG6xu8qdBxHIyVjME5kB5A4b3A0qNwm/zFqzf4b//+S0EmDU9V1YzLEStrXXwlEE5y98F91jZXiFC4FkxL0zTo4LdRx8PhEOcdRZtVIUTIDtm+f5+yKIjikLUwms5I4piNjQ1GoxHTomA4HAYT2lbCZBF1rgJ4laYpHoUWgrW1IcOVPuM8R1oCEdICtXOZHxcFwGhOFMzyGVEcZLayLKPbEjMbGxtYaxmPxxhj2NzcXES0z6Oo5/IlAXyyiywXY8whGZoDYHH54XoQiTyPUI+jiCSJF5HBTVmxMlyh24LSRV4Sx8GzpaqC1MtwJQn9oZXlmWfiFLNZIIVcyDCLWmmq0XhMXdfkeY5SQYJHKdVO/MEwey4ZM2/ryWTSZqpELaAaUxQVcdRhOqu5eXuLvBaUVnN/e8S5c8/yya2PqWYFwzRBNYpYpJTThrV0je1ih93JFrcf3CIdrDDeG7PW6eHrAMrLxvOD3/0u0zKn0+1y++5dTm2eZri6webqOqlKeXD/Lrvb93A1DFdO87Nf/ByRrHLx4jNs703Zvl/RIaKzFrGxdp503YCBTtphuNZhsDZka2cX6jHnL13hd377FXodQZOP8aYI5LHQ1HVNpzugLCqsM2Hubho+/PhjNs6cp7+2ziwP85dWGlzwpRLO080G7Dy4wQvPnmI8GbO7X9I0DiEijLUgac2uJcZKxuMZw84KSdKnrqckWUplDbVpCTghkS1wHfYJZCaNZVaUyG4X2zRM9/fpdBK8NBhvgvG3U2gRcXp1hedf/jYfvvdqAO+JcUKjk4xf/PwvieOYBw+26PV6bGxscPv27UX/GY/HQEsUwqLvz4HeeUbEnABMkmRBjoRtDwD6+UIp0pqiyBdR8KYFbYMU35QkyXBjQ6RDFmOSJJw5fYo7t++y/WCbOI6J45gsDUT+3DhbRxqlw4JMssDuFj9H3wKFEngvUYH/aq/hwMvHWUtZ1EQ6EIHTWY6UnrqqKMqK2niE0FhCJoyQus1QORKP4w9qAIGQsbjF9YuW2fEuAHVKHkiONU1DFKtFRo53HikUzkGel9RVhRB9AOI4XmQaKKUXUmZzGa05ASKEQCKIophpSzorpTBNA74KBGlbX2sdTUgZa4n0cP/TToawTTvHKeI4pq6qIBuVZTjraeqaSEdhjFjLdLxDlAh6aZ98f0a+V3Hp2y/wH/7tLxAmBaGIU4GXEEU9TFlRTQq6gwxvPVVVBn+b9l6KYNAS5A0bg40cVszJ7SB5GMcpZdWwvbWLEtA0ht3dPaqqJNKCsqpDPaOozcorqOtm8bzQWtPvB7m3PM8XGYVlVS4ku+I4bjM4YDKZLLL3+v0eWSdrJc9CHy+Lsp3HHaurq6yvr/PJJzdI05g0SxdjZ05uuDaqbXd3l5WVIf1+H2st165d49KlS2RZtpD3KstyIe9orKWqq0UG0LyfzX++LF+WT1XE/NdBXF8betOWo4D44c8f/vtJXzxPIktOgmiPAoMPAxqPPu/j4YxHE0CfrTwVnNKiGp8dEDssHXLc9097vOVjHWovcXL7Pf46ToomPUo7HD5iAMn8QuroydtpDn0vA+EB0JY4IixOCDLV0NUVPVcFgMgLPFHrp3BC7ZbXI+IoOXJCOZEUWfp6gVKHlgqSWeHHeolxql2L+mDEvhgN/tB5xALomtf/8Ll/5WXerv6ACFksrxbVOf7OevhMVX74sdn2iTkouZgbD7fj8n2RHKxN21Ufc0JEtMjkMjB4+N4ef8yD8jC5eVIfP5lUOdoLnpRGPLL/ou8s1fvIYVz75DBeUTtNKTWx1yRe03jTZo1IhAhrzwDaPvq6nrae89o9zXPg8zz3p9/gC939V17mfe6kp/zTHqud+sJ4Ex7lgzybInhKB0kt2QYJL0byoyv3qWo4f1p8seVgvD08Rxw8aR/flw+ygD0I3yYLHJAUT5bH8emzPebnPxiTv/pnTFBx4ICwFp6nWY/9RhMj3jiKKqfKZyRJ0D8v6xKFBAvdrEfWGTCZzqgKR2Mb4ijmzic3qBpLJEALQb/TxTlDFMd0uh3e++ADBoMe589dpKhKHlz7kMnMsXn6AoNBRpqm5DNB3RTMZlBVOf/gv/5j+p0e4/GY8XjSAj+a8WgH34yp6+BH0tQF3tekaULaUbgoRqTQTC219VgHSEfdFEiZMBgMUSpjWgumO2OiTNDt9wCYTWYoJbj8zDNs79zj1u0bDHprDAarxDqiqRuKoiBLU1ZX+tBGYJZVyf5knwdb91CRZNBfIY67OOeDfBMwWBkyGu3T63YoyyJ4r0hLUzfEsWZvbx9vBWXl8UYRx92QeeJrPvroFoPhkFde+TrvvPshTVhRoiPPnbvXufbBe1x57ixcPkVpDD0Hw6jPaOJYHZwlifpk6QApU/KZ4eLzz/IPLjzHG2++zy9/+SZXLse88MJVdvfGjCdT0jTDGkeUBt38uql46aWXOXVmkx/95EfhuqWmaSqU0jQ+RPvO8hl3748pa80r3/guvcFppoVFyIzGKrxrM0KsaTNFAinikFgncM6CdSjpiHRN00zIZ/eoym0iXRCJAtc06LhPXRpufHKTq1deIOl0sHVNmdfUY8tPfvI6P/yb32Hz9DplMcPbBi11IFuUx6sggeWweFcT4rYjnDUI51E6RsqY2kiEWOGtD97np69P+dtfP4Ut95nOZsSpYHvrDlfPfSVckwShLPu7YxIV0c0U4/GYXq+3kNEaj8dBT59WBkspiqJgOp2G6NqqpDfosb66FjTrtQ5+Gt4zHo1I4wQBTKdTtNZtNlNCWRVMJhPG4ymDwQbDldO8+NxVbnxyi0DyBGPgprGYKBgfW9fgnMY5jWkcVRn69hzA6g0HTPOcFecpiiJI1mjNrVu3sNbSXxkuwMW5fnuWdVCqXhAl88yREG0eQDmkxDuHt0FCzTkZzH29J1KaspohhKKTZgGcjGN8Yzh//gLOwdbWA5TSaB1T14bxeEq3mzGdTun2MpIkpSjyhf/I8PQZHjx4gGvqhQ+Jc34huVIUxYKsmUwmpEkCzpPGcfAjqaoAZnvI4hhrDU1d0whBp9cjijKGw3Vu3rrH+x/eJBluIrsrDDbPcu2TT9BK0ok72GmNrqGeTqlzw8bZTe482Oej3bvc3d7BPtji2698nZV+h34iuV3sMZvtEUlHle/z81d/Rm+4wnR/i2euXCWh4c409KG0F9PvrNDUnnMbGxjZZWvXEMsYU8C9mw+48ebH3L11nbVhinSapi44e3GDj669z42bN1jbWOW//8f/HSv9iKaYkEQOoTVK6laPGfJZASIYaNdVE8a+cWyePU/tPGVjkEKBDBHZSRwTRwmzyR7vvPkzsrVzXDzboSq38MJS1IZYJsgopigrQKCQVGXDLG9Y6a1inaaxAeSMRMg4ch5sK/GjhAg+U0pgrGdrZ0SRV3TSmKzTxxPqpGWYe4rCUBvHnbvbbKxv8twLr1BXu6TdPpVpWN88hReC4coK+/v7pGlGXSvGozGXr1xmZThkb3c3AO2tdJ33IcsJaL1F7BL5Ieh0UsBjTL0gCJcBedV69VRlTqTlQvbIGsAHMrMGvLeYukEIT7eTkecz7t65i0SCgEhHC0PseaZWlmWkaYyOgk9PFEVEiV5I5kkpFi+Daq6VtbQyPJDdCItfrTXxQNPrZ/R6Q/qDIVGcsr8/ZZbXGNOEDEBCn0HMJcUUy1yIlBKtW9LUH5iwC9dWYU56hLd+EB4tFU1TBYP17greQ2MMCoUSklgnzKYFZVEDLCTMlNJkWXdBCs9N4KMoQutWurH1Y9nd3aWsKrrdLlmaIVAopcMcgUKrGCeDf4x3btFcdWMBhbCeKE5RPY/GMmsmQCuPqGKSKGSlVUXJmSsX6MQGl+9S2pJUKK6/9RH/avLP2bo/QxtDZWtkFIgIZzVRr8ueH+M92KbG1MF/a04EiPbFh3b+tdYiIt32P4OpPaqTMZvNePXVV/nB97/LrKjwSegrZVGQT8doreh2u4FA8J4sSXH49pmvFhKKc6nCPM9xzi4k4ABms1lLyASiuSx38d6RFzm9Xg8pg/eKbrP5wJNlCRcuXOCjjz6k2+vTH/a5d+cOURSxsrKykMwydUOSDOl2M4wx7O3tkabpgmwJz6OMOI6pqmpBWK6uri6eA3OCrCxLrDvog1+WL8unLgs0wy9JRggO/3WYEFl8+4jo9EeRKMd9flh+5phqLj4/eqzHvew+Lj7y6SQWnrScTNicXN8DkPWzlmPIkSMHfTRIcHwbH71Hj9PufhKi7Oiey3DMcS0hFp8H+ZSTTnIUQJ9nHR0+biAUJB6FI5KWVDZ0dE3fl1gvqZ3G+PYhjzzhSg9Ap8W5nrg8GgD3S1t47/FChHdQL8J7rPco74IfxkmlBdzC8Q7gql8V8PpwbxKHf/zJo+XQMfzS35+1MoeWjXNIVSzaZy7b9qhqLQC35WMdmacOyItjwM4T5s+TSZHHkSoPHeghE+mnuesLcuTIZ0fLPJMpSGrFlMJSeUPtGrS0COHaiPUwgvxjjvdpyqPIo88blv2VkCq/4WWZsDr62XI57vuHPmvfr5Rwi59AiszltFhICh53/Pn4XPRlf3gsnPSMPJhvvohe9HBZPFsfOlWYj55kxX9A4bQZkYs34oN34uOpITE/QNtO/jGX/Jj5+pFrw19FWZor2/v+NM/l32hi5MzGGjpS3L/T0DQV+XSCjjS1NUgRovX8bIbznrTbZb2zQj17wGQ0JZaabneA1JKrz13lxo2PEcKTZSlCeiazGZ/cuckzz1xlNevSGUYM+kMEQV6kqGbUzYStByUXL5wnyzSzfIzHYF1DXtTEkcI0FT0ZIVNJHMWsZat00hjjGwprubO1Q5QK4k5KY2ukSqlLDVqi4hitJWm3j7QxcS+jsCP29rZIk4xur0tVVly7do1ev8PVZ1/AGs9sViE8rK2tEsdniOMANNSmBiERYsCZ0xtUdcVoOmF/f5+d8Yw47jPoD5FKUVY5KysDqrJCSsVoNCJSmk6W0e1mXL+xRZJ0AB3IiNrRyTpU5YyyKqgbz62bt0nThG4UUZQzvGlw1rKy2uPB/bvcuvkuOq84kw4pJzmbpzcZ9obcuXaHP721Sy9L8Kbi7ta7rJ07zaXzz7K6cpm//MUHWJVy9swFaheA336vR5nnKOk5e/ocvU6KsYZvfv3b/OzVX2AbB8ITxZrGSMrS8+DOHo2N+c73/4A0W6UsoagtUsZYK5BEOBeAaYfDCwE+LI6tbXCmodOJqIox5WwHb0fYZo9I5sTaEAsbfE28JMt67O+Nefvdd/jtb3+XcTUj6XQoS83d+/u8+uovgT7OWYxpQkSNbfCixPkC7zQQYY0AGR4IiAhPg2ulWbwQqKiLry/xz//1u/yt3/oGOnlA6ib0h4osd0xGI6Kog/EGWzfIxhPHcfDHEIIkSRZAkrUWU5swftKUPM+JomiRVVI3NZPJBFM3TCeTAFYqRa/XCyblTcPWzg6nTm1w7vx5tra22N3dpdfvIYTg7Jkz1JXDmppLly60kjit7mxjMDoYL88BM2MaqkoQRRFxHINnIZ2Vpim7u7vcuHGdWOuFifw8g6JpGrIsWxitF0UR0rjdQSbK/PccDD6QNQkvJY7gVyCEQkfheyU8kQ4AblWWSGdJ04x33nmPl156iQcPtto2swsNfWst3W43+Ki0wGeSJMxmM8b7I5SUdLtd7ty5Q5ZlrK2vkyRJu62kajNuoH3Ytdk1k9a3ZDwasbu9g5TQH/SI05TpLGc2LYiSHnll2dmbMS0s8akOyYpiZ/oeUSdjvLfDaDqjqGuaWU5H9eh0O0ys5YPb99mxDd//3T/gvV++xhs/+xn+5a+QdWKyXsr65ir/9H/+fxNFiu/98Hu88vWvc+1a8HC6cO4MyA4raxuApMpryibnnV/8BJ2s8WDbkEZrnH5unZiSwdqArrrAvXsfM96v+OpLX2Fre5vpZMqlC+f5e3/4t/nK889y794naNkgsCRxhFUWvMZahfFi4acggZu371AbQ9rpMstL4iRrs6USaldQNQ1xkvDJ7RvsT/fZms4QUZeyuE+WrOIMxCKlsZperDCNR0UJTQP7uzv00h5JkoC3WBFD3cq0edBSQRwHIjVWCw+oOIrarMaURCjqJkengtrMpchAOslsb5879+4z6GqckJR1zXB1gBcOiyHrdNjZ3qbX63P//j36/QFSygAc53krwyRJ45BNMQeKnbOL6PZ5lkUA4EPGw5wwnIPzHk8SJcSRYjKuF2Nr7s8jhG+l4QqSpM2KUgKtJVsPHgS5sThZzDNxHLdj0S/kjOam4kopojiQJFEck6YhKCGOowXJGscSpQ5erINs1HwlRKs2GF6+s0xw6cI6qysr4DVvv/sh40lB2TQYE4ICrPE47xYeKQjRQiduIdk1X1kKxCIyZX5+rVQr3+SRUTu/tHJ+aRZTFlVLWniiJCXPt5kWJVIEgtfYIEcmpVx4SxhjaExDIpIFuStla+IdRfTbNivLEu+CVOFcpm9+T31Lrsp2dahUIANdU2GrnOlol1QLVoZ9lArzZ9pm8UhASYnyUOxtM9q7w7gy/PHf/TukIuO1n7/N1O3z8fX36Qx6VCYly85hrATp8N4wmszorQzpdDoLUiSKonZuN2HhLwiZMEoGLzfng7SnA2sc43rG1tYOg8EQ5wV5UaGEotcb0DTVQr4q+L45qrpGa0Wn02E6nS6y8ObPjCxLaUyzkI0Lnk4drPHtM1gRRZpOt7PwsxqPx/S6vQVxYYzh4sWLvPbaL/jlG6/zrW9/iyRJaJpA3K+trbGzs8NsNkMISNOY/f19JpPJwsvLGEOe50ESts0GqaqKXq+38FxZltIKz6bPfz39ZfnrV457Dz8ZZDoAEI5mEByUk+G3k0D/46VmnqScVIfjzvHwOb/IsgAuD5348fV9IsDz0PEOg/IHxzkMDBzd7+TzHKUl5pHwcyD4aH0fTY48rhz0ljlo8/CdWt56DvPII9fx0DGP4jq+BUiWEPZ5358DbMo7ImHJhKEjGyrVUMiIxqm2FfwieOToFRz8/engoEeBNi1vGUgRQpS+bUkR6w98Ok4ikuZ/eH/M57+istyrDtGh/nAvftLjPP0V+KV/OTBqPrLFUfBwed/FGFhq7UWmSCuttVyWSRFx5IuT58+T5oDjjvHoMj//UZLwmP8++hiPKAcga0vW0XqOeEXlNco7IPjZeQ+6ZWrkU57nUfU+aQ54mh7yOND+Udsd/e6k309zrF+H8iT1O2ntcPxT6eGZ8/j1wOH/LLJGCFkiBwTJwVh8krKo25HnAJww/7bn/tUIaS2d9qF5yeO9WBJNPLn4dpx50RLp8yOI+ZFEm5UijtyLdkshFmTqSc+kg5n0+A3mz6u/yrLIFlnOGHmKSv1GEyNvvPFT+v0eTZ2TlzOctQyHa6RZF6mhNjlxJ2W1N2B3b8SD+9tUo7usrfSpjOHq5ct4JXjzjV/SNBW9fofpbEav18HimdUVe7Mxw+Ephp0h+XSGUpYkgWI2ZTrZpd/PKPIx+SxhPJ7Q6XQZDDo0TRO8GeKUbHWdST7GSMXHd3bYevCAnZ0HzJoJ07pk/dQl+mmPqvQ4M0TJDWqXMVhZQydT9kZ7CN1j0uzjdU2nm6ClJJ/NiKOUK1deIMtSptMJg16f82d6wU9EtFGQKnSITCdIrWiakHWw0h2ik4i1tVXG4ynTWcVovN1KSAwYjyZEOkWpkI2zv7tDHCmE7NDUDVolDAfrPHhwnyjWTKY1Sml6vRVWVtbY2d/BAyurXYpiglTQmJLRaIfVXpee6tPt9hnKmGS9j61qUpXQGWzQi/pURc2tj2e4WPPxzQ8ZnBqgkpTf/p0fcG97n93ZLmcuneHB/W3yqiBOFOdPnyVNNLdv36QoZ2yun+G3vvZNfvSTPyPOIprGMM09+3s1te/wyjd/gI4G7O7nODRCJrhWz9g6EYztnMULizESpWKwFukgSRTeTDD1DmVxB2f3UeREyhBJSLRAek+SZNTG4bTg/Q/eI+vEvPjci9SFwTQQJwPu3RlR5CEbII4UeRkkTGpXY9wUqWMak2OcQwiHUw4hQ8STm4OCEoxxxPEGr719g798fYevP7NC02wz2S2IohBJXNQFVjpiFZN0OkgpKIsAKu3v7zMcDul2u4zHY7q9LqNWlmquiz4ajXDO0R/0kVoS6aB532mNwl1LigyHw0W07Gw2Y2dnB60VpjF0sw6z2YzBYI1ur8vlS+fp9zJ2RjlKK4wLcjeV1iErglZay4efqqkDiWIhz/MFwNTv93HO0OmGPupxmFZGL8iyxAsd/7m/SIia9wtw2HsftN3nDw/vkQGpQwmJbeVyvAuRZGkaMxz0kbaiKQ2ujTrf3t5mc3OTvb097ty5w9raWvBWaOpFlHCQb3Hs7++zurqKlHMvBUG320MpRZ4XC5+XJNGAwJgA7tkmkI3KeqSKuHvvHqoF/ZQKUkmT8QQVJZS1ASOpTM29nQlOZIxnls7qBlGcsDPaYpTn6E5GUeTcvHODzsWroDV393d569Z9vv37v8PW3TtsDk/RbQw/++lP+eZ3vkGn3+GFV17myvPPsLGySj9LobBQOaSP8CJiv5hx/6MbVIUB41gZDrn6wlUuXvoKN25OmI08pi7QIseKKWurHfZ2FF/5ykusr5/il7+8SV4UfO2Vl/j2t79N05SsDLrs7d4jiRV5kZMkGXEaAx5hwTQ1vqnxXrK3u8OpjVPBD0hpvJBYZzFljSdIAuZ1wzsffEi33+fm3S32x/fod2O8n4B2OJdjvMb5mMYrvDVARF03TPItOp0uAod3DQiLUqIdlyYsbEToU8Z70jRBCt/KOym8BOvAW4cXitpYIp0gnKQ3HOCNZnfrOp0ulHXOqdOnsb5m49Qp3rz3Fs8+/wLdwYDdd95GCEG/26OqSvI8Z9DrLDI/gtzD3DvHL8iJ0NUDCSpkmzmFbReHB29izh14HQSAPUTmQ8isCNJl4bfWCq0V4/E+Ao1S0YL8UCpakJxzP4aQmRGyR+YgsJDhR2tNFEcL2aggnZTQ6QQz+jRN2nHVZncsPJnCMtA6T+M840mNlCr4jhmP1BGeIHE2nxMaEzLVguyTRwmJFCBxIYusXR7KlojxYZrAGtMuCgXehTk6jSNMC9LP2ziQABLTOIoiSOTVTUmnE9YOrmmIkngxpxkTSJswz3uElNRVhTUWHelFRgkt2TsnYJMkoapDFmjI7AmIelk3ZFmCkpok63L3xsdMMfS7HZSUxHFMnufMZjMmkwn3790jVoLvfOMFjIv4d3/yJ3z3BznPnOvxna/+XXrdLm++e43/6f/5T/nw1jbjnRRERhM5okjhfSAnu1lGpBR529+MMcx5rflcbBoDXpAmKYL2c+eI4ojtnR2eefYKSdanLnMcnsoYep0udVViTCDAEQLTkhcA/X6f0Wi0yLiTUmKspSxLtNb0er0FOaFV8H2ayx5WZc3zLzzHeDwO3i8CPI6mtty5c4czZ87xwgsv8MGHH3D37l0uX76M956qqhbSXSETpGZrawulFGfPnsV7z4MHDxb3Zk5izQnC0WiE1GpBjszHx2Aw4NbtO59+4fxl+bK05ckBsnnfPPzZASW9/PnDL9UPb+sPf37iO/+ja3iyFNaTkQ9CPP4cn2c53A6f/bxHgaj5OY4HTg/TEMv7HwX455/L+fZLBtNHz30A/J50PY8AUA7t9TgISiy2moPYJzmSPHzuI/3XL0O6fkGORNKSyIZM1eQ2IpIWJV1QCPCHswoW7dRexGe5mwcw0/Fw7Hx94WmJESEQXoZskSVT3Serw6cncD5LWaYT5rXwCI5Ld/HHXMjJlOuTlIfJrMPysEs38aG564AQWfqAo74ix4+lpeM8dk48rixd9ROQIU9aDo+7z+FgEJQ0WjP2xmsqAjGyuEYR1mK6zbiey5EtDvMELMynJXQetd+jiBV/ZLvHklHi8DEfR478updH1ftp2/TTbOOX/hIEt2eFRwuHEhYp1MPHESzm9xOJxye8Ib8+irWP7/lz0oMF+dhKMBIythbPCDFvl4N5WCymPv9EF+0XxNLD2z5N+34x5fCTJsRJ/jWS0mrMHnt7Oy2IY9BRxPbeLeR+jI4yUDGGhsbmlGWBVobVzQ1iCb2oy51bN5gWObPJhCRLiNqo18lsSpSliKphWhQMVjxFEXS8tZIUszHnL5xme8uxu/sAKU8zHHZJkwipNGVZM8sL7t6/S103bO1uUzRTJpOcBw/GSK9QSqCzBCcsHkVvuImdTNmbJgyy8wil6aabvPzyC9y8W7A7yrFSkFdTJBocnDlzijTuIqQkSzr0e30irbC2pixzrG2I4hhjamQLijhnyNKEqmnAObJ5RG4UEcVTpLAYUzMa79DvrbC/NyZNO4Cj2w1Rr5PJfqt9rsmLkrTXoa5KojiiLnOSNGFnd0Ta6WKs4ebNWwyH/SDR4uB3fvB7fPzOm5xfO4UuSjpSkkhYXxlQmYq1U6eIZYfGKXZGOVuTCUgYFxX9TkY6GHCu2yXPK+Io5Ux8mr0H22ysruKahhs3bpNEmm6nj6kNo70pg94Qqyq29/YZzyQ1Ha489xWSbIO8cBgn2xHkEBxkDzjv8PJA33suq6QwYArK8gGmfgBuB8WURFnSSBFrSRIppNdIInAGvMK6mldf/zlKwOWLzzNcWWM2G1GWNXlhiGJFXZVkaQ+kpppU4EvwJUKoUEWpggSQV3gr8MG9DhmFRbMXHRq/yc/enPLClQ02z+Y0k/uM96cknYrKWtJul3pS0lGacpYzqWcMV4akacp4PF5E106n00V2wvr6Otvb2wvwch7J7I0NRuHWttHfQZJqHgFrreXBvftkaYp1rtVUr+h2O+SzKd5LhoM+m5sbjGa38VJh5sbrLbhVmwahJCrSNI1p9dgD2ZPnBYFI6FLXFWtrq+wbizWWWT6jqiqiJCPLMpqmWei4ax0tItXnZeG10OZdhvR1v/g8mGmHzBHvLGkS0e0GKSDvagQh4nl9fR3nHUmaMBwOieNkcb45aCkVCw+Bc+fOsb29TTfrhuwT0yzA4rlXy1w6bN4XtdYID1GaBt8KAmhd1jUK6PYGTCZjHIK6rBmubjLLHTt7Bfe2JlQmQrkYLWNefOEF/vl775J0O+w82CVV8NbH73H+wjniZMBf/OIthucuECU9fCV4/spVJp0UqeCXb73D6vqAS89cpqgsuztj9Kpm685Nbt/Z4vmvvcLd+2M+vnufr7/8Ta5efJ6VfhchPMZbZNTjl//yx1y+8DyXzp2jHk1497W3wGwz7HXJdML7775LUeRcuHiR/+KP/5i11RWcK9FaMhwOkSrI/yBE6CtCB3C+cUG6x9R0Oh2eeeYZvHNEsaaoGvACIRT4YMq8vbPNxzduIqOENOsR5SEb0ZkpwnpSneJkhHMNlZRYGqQKRMzeXk6nd5lYJoxGM4TU4DzOeiQSpUPfDaRChG1qnHctQSJbmQQZPBC0QKoY6yGfTuklMXGiaXyF0hHnzm1y5+5N7ty9yQ+//7t8dO063/zmN4njmN3dPTpZyK5w1rAyHJLPJm0mSMgeVGrutSQX0fJN05B1Mnr9Xus/cvDSuDB68x7nLDqSxEnwclnOtnLeHvE/CC5Q1jrwBqip66oFpxVKB/JDySBvqKQM0nORJmq/C1mOGtl6H82B7TmBEkgUTRxHRHFEHCekSUKSaNJUBxLMCaraMs1L7j3Y4e7dBxSzGaYJKdiCkKotdMjWjCONtS05sniRa7MGsUgBQrQeRDJEbzrAeRWyM2yIUEliHbJyfEO322XWqXCNR0uBzLpMJ4rtrS2ml88wHHRbIjQHWMiHVVW9yCKwNsg/zecBqUU7R3qkOvCeEEKQpmkgVKwlSWK0jNo74tFxwnQ6ZpDFuLphMBhQ5WP2dnfYPH2a2XQCQmKt4fbt27zx+uvs7+6Sj0f80T/8Y5Ts8G//1b/FmRmnVvv84Pd+l7/5R3+HMm/4f/2zP2VqYvamFVkSA5a11VWkVuzu7NAfDNCt7KKOosDo47DWYUyNMToQG6ZGqxiQYdzEinv37rO1tUWv2w2a69Zh6oZCKmKlggeXEFjv2vn+wJdpntW08NhRcuHvMZfZKooSJcNzVimNNYFUGu2PcC6Q0a7NAut2w/ZFkbOyssL6+hpFUXD//v0g4RbH7OzsYK2lk4a6VFVNt9sNmZbGLKQr51mD88yQue+VaLMhTVuP+XitWt+vL8uX5bOUpwLInvRl92lfih9LijxaluG47x4LYHGYFPlVRYUeB55+OgzhAKSdB+8sH3AOeTyqbZaj1sNj3h/aRxxp/5OyQ5YB/ZPFsZ4AbOHxfXHeXxf99pjoVkGLtS9tcPT7pV1Dlimthr2wxNKQuoZYWHRr8itbyaQDQuXzLYfbkGNB8Hn7uBYAc4iWFBEc6MQsj2h/6FqXtd+Xrv5zv5bjy8nnWZA+c+9O/2ia7fMoy1c/v6XLXUYgFlHW8+0eBtn84v9Hj/w4kuRpavl5kyKfvSy1iTg8nrwP5EjtFZWLUPKANPUEwNEDSoBqZX2lOLgPB/PyMWcVPMZo++HvHkWQPO6Z4o/8Pmm7xd9H7tGnIUV+fe7xo+t/aPz8iuoSgtAOJLWC34g/QPWPbP9ZqdRHly/y2IdXB4+bS/xiO3844wOPbL/37dx/IMl1EFRw8Ng4+mQ8/lzz7b3/Vd39py+H/EXm8/Rfl4yR3/rGZaaTMbNiRl4UjMbThWyHkBVVXbD1YIpH0FhHL0vorKxQWYdvIvK6wQGdTkZjGsaTMac2T3Hv/l1EE6LL93Z3AUU/XQML/W4wk93c2GBjvc/rr455cO8Owge97/FkyqQ1bXfWoYWmLnrIjsYLRae/QiQ7wWBZFCQkNI1me3eGLTxYQz9TNL5m/axEyJSzZzforeTsjR+QNY5er0OkE9K4i7UuRBvTALo1aAW8J4njVu5H0JiGOA7galkFc2TvHFIImqoiUpK11SFZqrn/YAtqx+7uNt3OgKauibUm7mUkqaauS6I4RDE2xiCUR0eSsqrI0g5FWeEAYz1KC7Ksy2xWcvf2HWItg4xZ1uPyhfPEpmG122G2t8PFS2e5/snHjIpdkrTi5v1djMxo0piGiDhd4eyzV2gQlKZBRDqYvCYRV65eYTYesXV/C6kB6SnLio8/vs54kqN1ys54wvZ+hbVdzp9/juHKWcoK6kYgVdJKZbXgH8F03XmHxxHHGlc6mrpACU8SG6bTLZryHlVxF+HH9HuaXpaghEQJgRKOqjRIVRPpBGsblPTgLL/4xc/RMuO5Z75KXmoUHeJEkKQxpik5ffYSN2/voJWgsgW4oP0evAA0eAUESY2DNbFFCI0XCUKv8xev3+R3v3+aZy+dZVRNkdLghafbD0C6ljF1WSNkAPIn0wmj0WiRIRSKWAD50+mUXq/HSutnEOmIqiyIW3BpDiLNgdK5lFWaBkPauq5ZWe1T1zVlWRJFEZ4QUSy14uqVK7z3wQ1UnBB0IINRcMhWaYKReJq28lqOoqxIs4yiDCSLEII8z9nZcTRVHeTf4iClUpvgLTKv39wseX6dy9G68+sO/irhAWKdxzvTtrnAmAbVGgRLgsmzd46mrihzSxTHeAF1HYzXh8NBS8jUCx15RLSQKGqaBiEEs9kUl2ZEafATmUsOee8XhtVxFDGdThdR+9YGP5Yojtkfj0nTFCUls+kMCOnqcZJRVIbaKK59fJe9cUXjIiQx1bTgmQsX+MoLz/GT136BkI4ay56peOPGB1x8qceDfMLp519mMp7Si2N6Scq96Yx+r89LL7/M++++zS/ffo+rly+zuXmWeloxnVpeeumb7M8afNTj3KWXkHqItxmuSWhciRUSiaO2BecurPDiC2fY+WSX2x9qUrHGmY1TTMczxvv76Ejw+7//u1y5cpGyGKO0J81ihHDUTYWOkuDjUDdIGYyxg0m6Zuf+NlnWIet0mDWWxthFNpiWGqEUxjje+OVb1M4znRVUpSWJMmIlqQpLYwpomtZ7KAtZXN4gKJBaUhuHaTI6vXMIDLYxaB2AWiE01jkiCVVZLIB9Z80iWtw6T1lUNK4E5YKEn7GYusYkEulzklRiTIHWktksZ29vn3v37rNxapN3332X73z7O3jvWVldDSBq3ZDEMU09l8dyram6W5g6L5t6a6XQOvTrA8NnlsaIx3qL84o4jjC2ORg3LYG4TIzMpemc8wgRJKSCkb1AaoV05vCYa70UtDwgHaQMRJJs5yUpg9fIHOwOGSQB6FZSobQijoIMpVJtFov1FEVN2Rhms5LxZEbdOJwP4LP3bYaHCONeAkoonAyfO1x4NsyN/qRCqSBnpXQgqr0gGIhbj1ceKUFrsK6hriucV0Rah6w/T5u9ljGdzhbtW1VVGL9KLSQErfGLeSKKogVJMiedA7EVhUdCK7U1JwGMMSGzR6o2W+RgXu10OkRaECWS0baks7qCaSrKfEacppRVTZLEvPLKK3Q7Hf78R3/OW+98wOaPfs7u9pQ06dLJumAabr97Ay1X+fDt6wy6G6x0NujOSpy3TCY75LNZm6XSpSxKirLAOkfdWDqdtJVDm/uMGFRbf2tD9ohzAu9jJpMpW1vbnD93NmQFRXoBUnjnEW0fh+DJpLVkNBotiIZlKTLf9u85GeVcMAqdm8NrqZGt741t90+iGBGL4MNlLU1ds7+32z6fJLPZjF6vt5BGHA6H4RwiyNbNn63zexQk7tRBtkwrrTgnLU0rYzf/fE4ofWm+/mX54soyFHTcy+RjXjCfEDt+sh78abSqj7zwP/bYT3uOzwYGPEQ8fIahLB7642FA63hy5DApIpZIkcPb+znzcrjOR7dZOtZy13kcKeKXfh8mRh7e53CuxsE2cz30h/wQxNH9T65FAJEC2BYLQywNkTBoaZHCIVAn7v35lKP+LSds1RrpekT7lFuSozrU1P5Q31hgQguzkWWC5FfxLHnceQ5nxXyxdVqGGpfH/gGcushE8geA97KB76FxcrTNH3MPn7qmv6akCEeAx/m3DonhQErr4C1aYHE4bIj6B1Rrqu05MGVfLkeJhqNj/JiqHQLtH9duT0qOPG67o/fo05Iivz73+Qmueal84fC4IPiM0PpBCUu08Bp5uG7+cxyDD5el4IEv6IbNuZ7FE+8R55nLgs3lseZSYVK04wqxUCkIklzH2aq37++PabGlpQDH6hH+WpSljJH53P2Ua7zfaGLkm1+/ysrqEC8Es6Li/tYu2zsj/vwnPw+godbBMNs5qGvqsuLGJ7s0VU1lHf2VNdJuH5RiMBzQ7XWJIs2LL77Im2+/TZxm9LpdTFUjEkfdNNS156tfeY4830OphGefeZaf/PmP2d7epm4MURwhpCCKdADIbdAurYoSEaV0einCJ3TTAQJPXs4oTcP+3gg8jMcNkbD0+h2y1QiPRUWGjY01On2FMf0Q7eglzoGVwZTbeouSAm/bCGUh2Nvbw1rL+sYaNz+6zpUrlxmN9ijKgpe/9jXG40mQtGhfuKXWrAwGRFrzySe36aQJ0/GEXq8fou4BIWJUC/oYaxFSYZ1F6ZSEiPF4QtbJkMLRNJ6yLhHSkqSaKJbs726zde8WmYa//OUWvShmmGUo33B9+w7WNVjpMMpDnOKURyYRQsYInTIrLUleo7RGaY0UEiEdxtU0pqTTi5ns7VOVDZ988gnj8Yy6duxMJtzdmeFEj8tXvspw5QJVpfE+RCA7H4STrLcYY/GujRJSoW1MYzC2RimL8BV1OaYu7lOX90lUybCXMuinKAGmNggXJFbiOMEYC4QMA2csWkvq2vHTn/4lSsZcuvwMu3sjVKxY31zhzr0xl+OozfSJEFQ0ZorUEULoEJXsNQINXgIqLNicQyqBaSxZssK9/fv87K1trl5KIRckWR8RNcEDpoYs6hF3E6xrKFqi4szZszhr+eSTT1rZp4bZ9mxhPtvpdBYeBd57VlZWWFtbC34iW1tkaUpTBfB/bro+J0Hmsjm7uzuYpiGNE6JOjMCzu7PFlSuX6XZS8sYuwKHguRKiiLXWoc81BqUadFVhjEWImm63s5DWyfMcnGM4HLJxao3JZMLu/niRfRLA1fA4nUfKHyVGvLMIgvSQI0SqBHDXhXFnXcgeK0qSOKGqa06trxMrxWh3t10szbXh6xbUUhjb0JiaOInaCOUCY0KmTbfbpcyDxMxc4mXu8aCUWvgqTCcT4jhmNpvR1DXdrIPWUQC8rSONgwdEVVeoKAoa/R76/RXevfYB71/7BJ2sonXMbFaBdXQ6CX/je9/l3v2bfPTJNUQkGZuGraqiV9VsT0d87fQKD+7cpB81vPPeq4z2HiASQX+wxtWXn+fevXvcvnuHCEk37tJbW+Pc5auUd+5y++59RJZRlw/YfzDmzMY6pzbXGKz0uXXnBogRp04ZhLiN4B7F9B7PvfgStvHcuv0xztf88Pvf5/s/+A4Cg8DSVBUm6mAtIIJfgQ8rc6QUCO+ItKYuDNu7+1x58SVqa4nihLIKJtiJ1oE8SGLu3L7D3bt3qaqG8XiMbQwKEUDwJMVqiTWGqm5omjHGSYxXoCOSOKObJUz2bhNHfdZWeozHeSBoG4PSAoQgSmKsNWRZQrfbwZomZB/hqMoSYw3OeeycUGgMEs90MqKbOpJIUtdlyDQSEVomWBP6+r27dymLktlsRr/fAwS9fo+d7e1WeipGCE9VV0gBSknq2i+AWqkESs+B2yAhdVCWTQ08zltUpHCtX4NtvTEQIpAZYunFW7ReHUsyXiBbOa/2yG3EoBDgnMG0K9tgaK4Wx10QI4v/S4SQrWSXRutAAGkVhQyKthaBdKqpjKWuDEVZY50AIREqZKRAIFE8EoI1SGvwHrIsDgEJIrzIKUL0W6QkyKACq9R8VeugzcCsKrBOLYCJpmlQ2ODfNZ5S1zVJsspkMlnIiIUIOocn+L7MSSYp5QIoV1ovZPWAlgyx4XndkigCRV03mCYER2itkEpS5DPGec7m2gBjGu7cvMWF82fJixlJlmLaDCznDM88c4XhsM/d27eRWiCjiGsff8xKJ+PCmTMMVy7y1s/f4/33P6HUHR7sfExnuEJZlozHYybTGXVj8B76KhBJZV1TGwN4sixGtJ4dTROk2FxrFq/V3GfDEicJe/v7TKZTep0U1c6jWgmEDVrWQgiauqYZjVCtfNmcRJ5nXiz6ogsZfFVV0TQNnbRLEqeUZRXa21l848lzu3h+zUmLkIHrFh5Xg8GAnZ0dNjY2FkS3c444imnquiW85OI+Ri3BPc+Cmpd5ppDzwWByf3+fJEkWWUDz435ZviyfphzSyPfzF8YDkPmo2ehxevjHRUkfHOXhzw5An2XY83ESTE8pNbNUHgarToJbn+Qch4/xeZTjpMked+6nAaqOfn78fZkTM8tg7+Hvl9vmYdmyh7ddrsijAO6jvedwy560z1zISix9cvDvMiL69IBkiK5VWGJhW3LEtpItAYA7EBb7Ysvjz3AANR/QWe3lL2FVy7BVWHcd/N+3ZsUHa5qnq8GnLf7IzzKY/TQj8VdRFnPIQqseoNWqF4+eux6a68SR/z/FXPLr0yKhLCKwOfDnka3TDYR1vPUSIxS11wvS1XpBhMMKgfYOi0DTgt0tQSKFR7b9tI1TPZZwOK4ceEcc3uGz+B08bs49miVy0r5Pcg8/DZnyV1k+bT0/ze0IfS30Ny18S4wYtIgOCEtBO6ctO2h8cTTrZ5+tTmoJcagvHzzxTjhbO7cfnm8CYX6Q0XYgsxUkt46OrCe/K75t56fd71dZDsiQwz9PWn6jiZEsFsTKg5IkaZ8Lly7x1jsfsvXP/1dWBhskSQfXyiZ0k6BF1wiP1CkYyySfMClLqqbhkr6MdSHq7ztXv4N3np+/9hrWWIaDNba2HtBNO3xw+zqDfsrpzSFNU6GkZGNjg263S2NNiMDFgxTYpkHWjm4bcTg1lrgj6KQd+kkfYRTrg02MqpjMdtBpEJkvZ4as06c3XOOja3dR0QShVrG+Jk1i6qpB6xjnagQQaYFWirKoEU5y/fp1nn/ueaQSbG1vc+nyObx3WGvY2FgPxp+twfb1jz/mlW98I0hICIWpDVpqnr3yDA8e7NNUU6qyJooUTZPT7aVMp+NgqiugthahZJDykBFJ2sW7IO9TNTOM9YG4mM4oiwI8xEmEtQ0TC3v5mL2qohtHRAISrXFKEiUxIo5QSYbzgkgFL4v9nX1sXdHrd1lbW8WaJqRiesPNm9cZdjvk1ZR7t2+zPxpTNYbR/oxb93chXufila8Qp0OmMwtoGmtJkgzb2BYE8ljbhIlYe4QUOO+omxrnKpQyODMiH9/B1Nus9TUrg1U6qcTbGmcsSmqMNTS1RccRHhMye7TEO4E1Aik0VdXw7//jn/I3/9YfcO7cs+xPpmycXuWd92/x4P59OllCsZ+jZUJtajwVggRBhPc1iDgsLZzDW9/KNCmE8whiKvr8/O37fPe3znIqUgxij5IaaRS+LnCqYVLXNE1FVeUMBgNWhsNDpr9JkoSsmVby6e7duwyHQ5IkYTIZE0WK0Wi0yE5qjGEwGDCbzciyjKIo6PV6wajWWvb29oIJm1QBvJrN6A8CoHj27Gl6vS6z3QlCagQBfJpLiwSzW4uUwQOgaSNslQryIvPod4BOp8twMMDaBmsd3W4XIQSTyWQhnSKlbsH0w5HuvpXLCtkgbYS9dAfSC16gpCTPc5I4GKULYLy/h2u9QPb3d3jp5ZfZ3d1rM0WCL0Ov111E/c4ljAJoF6Sger0+VVmSZdkignhufg2wv7+Pd444jul2u/gswxlLmmXkecHpzdMI4SmKnCiJqI3BIrHe8t4HH7E7mtF4SZr0qE2Q3ZtOxtix4+qVc/ztH3yXOt9ha7SLSFN2S4O8uw1CEWnL6orm/dd+ymjrDp1ul0kxobhW8zf/9u+TpZeQXnH92nU2Vk6zceo8v/zgGre3dsgdmNqjZUmddVBacuvObbJU89vf/zrf//aLdNMxprxPPy34zm99hVT1eOeda8TdiJVBnz/8oz9gdaVD05R0OjHjcRHmLa2QKqKug2l2HCVtVs0Y5ySNdag4Y7C6gUOBE2gVUZUVSmsSrShnOR++9z51VbG7s9PKZwXyTghB7SQ4jYoU3TgN4LEUNM5TlDnjnT16/VWESygm+6xuXqapqmCOqSGKJEiNFIphrxcIdNqsFilx1tOYCh1pTB2yDqIoQeoU2wTvFG9HpKnGNYKmsnQ7Qyajmuk0J8+nxEnC9Rs3SJIUfOgrWRp8KrIswZi6zbKYEx8HvgbWGoSALEuDR8ORsjxGZJv7LuV8uRoy6wTyAOAVYrGYE0IuMjEOFnh+Eb0/N4oTQoATWA4WhSETxYZsPgfOycV6bg5QB+mjQJCEcR2yhOb1cy5kSFR1E36q8KN0yOpCyDYLJfjMSBH8T5QKn4tWYlEJiVDhekKjBGNxZ3wrbyHxbbaBlApnfcgk84ZaAEIzr7yUsuWMJOO9MXt7e5w/d3ph6B3HMXgWniBwkIk3zxyQMkgLzokRKSRJFi8Iwnl2Ql3Xi3nuwMvC0+lkVLOa3e0dIh3hrKUsCwaDPrNZ8EvLi7L1aKro9ft857vfIYoUw/U1TF3zf/sf/kee7a1x5uJLvPbunzI1jtKXNJTsjrfwjSPWEbGKqJuQRZXnOb6Vx7IuZLzoSKLaZ06Y8+Zk3QFh0DQ1vV6HaT5jMp2SpRHGhrWBFSC9bRf8oLXCe7GYe+fZGXPCPcy9cpGNMScOq6LCu4N7FDxzLEpJoihqx1KGlJI8LxayZnmRc+bMGfb39xcm8NFyZh+iJSLrBbGR5/nifnjvKctAeCZJchBYEEeLY5VlufAs6fX7j1oaf1m+LCeWgxfFA63p8DI9hxROfoE8KfJOLP2xDPAcLzPjj9n+02WGLAO/J9bpxPp8mvJp6nl8eZpo088CwjzcDg+TGA+fazmT5FHg32HwV3AQ9e8P9YSD4he/F4JETwxfLZN2h9YSS0BYMCp/enKEFqDVPhAjAXizaHHUQ+LXoQTJKecFzoNbvmBP27naeON5LMccaD4p4nfBLX3xkcDzGSiYyQcw/VeTLfKk5SiY1lI54vA2j9ofHga7P5856K+iHJ67A5F4+Odw1kggRxoCHoEUONogXkLmyPxHCYf2Di1AedrxRnu+Jy+CI+TIUqMvkyOftfUfNRcf/8x5umP/JpanrfdxVOzy9PXwPQorE0mQ0oqEI5IW7Wwg5VqiV+Jbz92D7MIvqk0/W7bI8TPdfP6dS/kd7rePmJcX2y4HtojFWD14JBx8t9zKS6vAx5ZwmC/+GfFpylFvqrCGCSjF04SS/UYTI4NOhpYSoSMaL5iOp/yn//ifgiFPCzYVeRHMmNOYJE2Js4iqNnSyjMQLhIoYjad8+OGHaBVAlU6nw4svvMjXv/o1bt26TZUXKJWys7NNpDXvvvsuUjzLlcvnmY7HWOupqobGhmhEFauFcWzaTdjdGeE6A06d3cArGO+NmeyOkUWErQ2dvuGFr5wmHTjKwlD3E3bGOU40JB3PmbPr3Lx1HSlhdbiGqQQqEQhiQLC7vUU2GHDtwxs8c+UZlFLMZlPW19e4c+sWkdZ0ux3G433OX7iAEGLxEn7u3Dl6nS77uyNMbUmThLSTUteOlcEKs3HdXt+MxuZ472hMjVQQxxG2qbCiAu9xVtDpZkih2NvfJ81inEswxiGkIk2GaGJ2t3fwPsIphUq6lDowmBmKYfcUVdngjSJ2KfXUoKWi389opiWd3oDJ7oR8WuAax+kzp7C2oqkrYq3Y2r7L7U9uBPkZZxhPxuyNJ1jguedeIUrXSZMujRHs7U1JkoyybFA6gInCyRAlrj1SeaxvyPOyBVEa8nwXzC51vUMvdVw8t0GiHaYuaRrQMkJIRU2N1AqLR8fBk8Jag3eCWGdolRFH4PWUf/On/4Lf/s7vc/XFFzl/4TQrKze4eeMGl6++xO5oivdzA8AKpRrA4HyDxMLcE8N5vJc4I4lkRF1XiDjj5lbFrQdw9oV1Zvl1ogaqsmLY7eCVR3dSUp/QrYIh+f7+Pvv7+2xubmKMoW6CJvrc8HguFTKXPOn1epim4ebNm5w/c5amaRiNRgghiHVEmiRUVbWIrI2zdKGV3+11iOMwTrIsAw2XLl1ka/edkP7nPBZD08gFQRCizUWQq2kN1OM4gEbe2QUIOM8cmeUT4jjBWrOQ8yrLkjiOiaIAes6jsf3yrNrOqG6esdG+d1jrMNa34KkiTWOUVHTSjHy8ixaBQNKR5uatG+F+t1Has1nwO1lZWVkAlXMD9nk9mtaoF6DX67G7u4vzPki3OEev20VFIUp6MpkE+R/mUdVw7959BoMuUgXCphlPyNIO97bHvPvuR/RWLpBmA8ragYqprcWUObdu3aSrHOtpzCtXL/HaewX3R5bt3Rn7+S3OnD5DPxVs3brF1vY1fvh7f4tL5y7z3vsf8Orrr9HvrGCrfXr9Va48k6JVh7yRfPDxLYh6NCi63VXG012yjuT+/pREKJ579jkG6QqxqzHju8zsHpmJWOsP+eD9LR7sTDCJ47/6z/8rzl88hTFTnKlxUpOlSQscC2azEmcCyJomEYnW2KrGOMUkr1ndPIuKM2onKMuabpqFPuw9kY64fu1D7t29zWh3l7rI8a4miS3eW4yRCBEhdUrTGBpbE3cDQaO8px9laKXJxxPG+ZjGDcm6aySxauWTYqSIMDaYq0exwjlDmZcIEUBcKSVxK08ojEA6hRQaWr8eHQVPFIFuJbIM3WxIN6t5/71rPHP1EmurK7z26qs8c+ki586d5dbNG+zvhWjzNE6YNhVFkaO0XGSJLEtdeYKvUBRFNE29ANAXREBbDggSeViKyx2znPUsRa4EoGUuUQf+kI4ziCBZNR9+S4u3uVm897KNfvTtccNy+WDcHpAlUiqcJ2QAemhsIEiCNqrDmEAA2/kculjnKbROgixXS45IBUrrQDwL2Z4zkCReaoR3SBWBb0ki3/oQYXEuZBB6ggeJFCp4mThHlnSYSsn777/PSy8+R6fTwRgT/Ddao/p5myuliON4kbEXRTGuJYTn2RCdrNPOd3aRGReyTAROitY3BaI4AU/ILGo0ibIorgRgSGlq0zCdTkAKVKwRzlOUNR0jsBYGq2t4ZxBph//rP/lnfHD9DrujKTaKmFUFo2JKJ+sT64TR1hhjPd1Ol83TZ7h5+zbG+uBd5Q7kDOdRTs6F51og2QJxIZVAqpAVVlWOoihQ6tTCM8cYg5q/tMu5d07oM2makiTJIfI8EDAQJ3F76hBcUjhHVVVtnTxKhdeKyWRMp9NhMBgwHo9DH1MKa0PwQCfrMFgZsLa2xng8Zm1tLWQAliVN07C2skpZBjI8yzKSJFlITc7rNH8OGGPodruhzjYQSXPPkjlxMp3lj1gZf1m+LI8vIcpSHAo1P/5V9+F5XRzznViaywXLfy9tswTKH97m6HFPPvfROhxERZ5cjjvX445/4nGeEnQ/uTzZucUJf3+m8iTXIA5+HQaYDtf7UVHTJ+3lFz8P5yM9qlUO+slCQHHx6XK205ORIwvxkcVRQwR8kNTSwhFJt/AZme9x+AgcJ3H/VGVp+D10rACQLSO9/oBAEE8P+y0IMT8/5UH7+UPn/+KAryO9h6Pm6/5wA/yK4bfD0lALEkDMMyMOEwFyaZulKh/8fqj+nwf1c6SBPnN5snu9mAeW20EEaaPltpkfaj6+HQLjJQjZZogLnLDhtxfotpG8dy1u64MHiX968HnRv4/5YpkU/DyoqZOk+o6br3/9IOTPrzzptX2WNj94fs+ltAyxMMEXcom8n8/5J88hT1OLL+KunTBPcJSuaJ9N87HkH95/uYR+385CbTZIIImCcg2AWzysjjAusESYPK4cemI8wfa/2iJoHaLF8vg8Smg/vvxGEyPW1GS9DhaQQlKWjjt3HnD61FmMC9Ik1jUIBNbYYMKZRORVw6DfYThcYX805tTGCr1uhPCe8XjMX/75j7l78xOGK+t4a9EqmGenSURdh5fbt99+B28bTp1aDaCu9GRxho5jqrpmPJlijMObnLv3dnnua5cYDDbZGt+ntjVpFuNriJSmIyoGcUkkxvR7CTf2Rrzxi3d594OPUDpjbWOIaXLW1tYp8imx6nDz5g3W19borXR5++13+MHv/A6Dfp9ISjY31tjduc8zV86Dq/nZX/w5eZETxxGjvV3iJOX7P/gB169fDxkBpuHurVsgJM+/8AJlUdI0jpWVdaaTnN3d3QDaNSm2DpHBQgjKeorDIpQlTiKqvMFjGI3GdDoxcSJRRiBEF2MaRvvBr+X8hRcY5zWltTgqUIaskxFZmOYRSdTHGEs+cfS6K6wM+zRlxSCJaIqCbhyR9ft4J7h79x6b6wPGe1vUxR53P/mIMi9wXjHJG27dH1NUnm9863cYrpzFOMW3vvVb7Ozu8cGH1xntT+l0V6kbi3eqNS+XSAHGNdR1gccELwA3xdU7mGoLzB5nN84SS4MtK6TwdLMupjHB/ForHJ66LJE6ABpSSaSKMI0FbzC2otsPpqs/+fMfs7u/y/d++EOef+4KP/rRm3hbkcYRZd6gVYw1FVIZPA3eGLyaS4c4hHfoSCB8IOdM4+kNVimaAa9/MOM7X79IP9ln//YtVroDjKmC50xTY+qGOi/I0pQbN26glGJ1dZUo0vQH/ZCZ0TQkaUqv16NpGm7fvs1wOCTPC/K8oNPpsjeeAJ7xeMKw32N/PA6+IEkSJGq8Z9SSLqO9PUxjkUoxy6cIFSOl59yZDd7QAmeg8Q5nwVqP8Q7jg0HvXDvfmkCEpGlCnhfEUQBDwbC9vY13jtOnT+O8I06zFkwLniNzff5lP5U5OeKcAy9DpIsIXkFOAnhsbWgah5YgsETKs7Y2YDzeA9NgWq+R/nDI+vo60+mM6XRGVc2YzYJJb1XV9HpdqqpiOp223gEaIWI21tfY399HqwgBC7Cs0+2SZRmTyQQp5QJUi6MI2xiyNKKTrfHGaz/jxZdeIko0k+kMoSLitMv7H7zBdFYyPJWxvnmaD288YG1twIOdMWdWMzauXOSNn/+YS+cHPHd+nd39NfaLbbqDITdubPPCi1fRomYy2aK/3ufM6XXyfMov33yNP/z7fxulHM4bxqMxmR7Sz9b46Nodrpx6lgbNza0tpltjsuGApLOC2RuTpgn/4v/7L/i/717n6988w0sv/hCRG/oy4/W33+Wtt94nN54//t//Mb/zwx9gmxlKGLIsxjSWSOogGdZYtI6QUUTTVJimQck+g/4aVmh++eEbXH72hSDV5AWKELGthSRJU7buP+Dtd9+jrmum0xnWthFLwi+klYz1GGtxApIkxdgSpSKkd+Bg2O2SypRTpwZ8eOc+/cEKm6cuUNZQVI7GOJxvSQUkQqrgzyDAmOB9o1SQJdQ6APvTaUGxt4d3NaxHpHFEXs5QUqJ1jBd6QQCsr61x48bHdLKEJIlI4mBGnsZByu7eg/v0eh2yrENVlWEdJMUia0q1HitRFB0aC7Lt94vI9va7ZZ8e51zwsDgiRyfmQXbtj3e+fcn//7f35rGWHNdh96+qt7u/debNvnDniIslUaJp2ZFtMbJkwYkNI5+hTwHkOMsnm0ZkwAhsJ0iUfxIJCBAgCQIlcRI5gAMrjmEpXmQpshZakiVKoriIpDjkcIYznPXN2+7ea9X3R3X3vfctM8OZeTMcsX7AW2533+7q09W1nFPnnGKgIvIBjEAy8jQprlMOFbUJ3aU1SKkhTykn8yTZEytftMrzcqS5xsYskBDCMbFVhXHHVk5xXxJXC1KVGqNrrqVIwpRMSLQwHoNF7hPhSBwhTb6TPP9JEfrKcX2CSg2dKXPDWYojc0NJhulDivtSoPNcGpVqncXFJbLcyDkcDqnVajSbDePhFqXGiABlCKZarQ7oMlG71orhYIjA1E8wCxdKpZUYhdqqVquEcYTKEvya8XhIHZ+l5VVqlYDdu6eYmTMGmnanhwYyqREVh3ZnwI6dO4iTHsOwx/t+9r0oBc8dfYn5XXtZ7fZp7pglQtDt9OlFA1aX27i+w87pnaUxOkliU4/yAasJUQVoYdpQDUI4CGlCq0nc3NMuwnUE/X6fMI5xHYFf8fEcH6mNd2GmTTgGBOWzSZKE4XBY9kNgwhUioNls0m6385xOVRxhwitGUYgfeDQaDfr9nvEci81CgcKbxBi0XbLMtH21Wo2TJ09y8OBBzp49y9zcHJWgglIZ3W4HgCiKSo+fOA+xVebWGUsQXzxr02dE+L5fLmgp3lOL5fqy1cR7faAbPbF9XIk+rj5en8vCfNi4f+wU685/Jcrt9de6/LHjvK4V3FetZNn0VJve81bHXl/WX2u92WKzv1s8z/VM6FhG6nfz6RJ3okfK1EsdJMR69dE6w8EljCNlsUrd0OR9m8CdZlWyKxSuzHBlahapFEfrUY0rv7+lRvZyjJW5KM/YaUpl7lgsrPWh7sYZGwlNvG+T12Ps/gvj0mjfSFH3+o0jV/tGlPVjvWFIb7CbmO3X4doT58gFPfFO5h+EMPH6Re7JUIT0mQzT8vrahfVHXLmUJ0PCbDAybXaNrQx3E/rRy9Wn/J3PDSEiH0fLdUYRIdRE+YxHkCDTJqQrpcTyd70Yv2vJyCqXj++LzxuMS1uX8VKUivNL6EmLcl0t4y3DtRhFLt/vvTF5vfK78vsctU3GYyTDkxkO2br3TlAYNouFc6N9V2fE2dBN5Ce62uezmeFs/KrjYcD02OfLvQOFv2/RoyDyN2mseVdjTfqo/RcIMdbar7eZMDpuM8POjeFyLX4+8ixD8V3b2OyWNoykKsFxjSJzqjnDq6deptPusHv3NDpNSVUP5WQ4jkusFa7wkLm3xN137UYrwcnjx5meblDxNSsry8zOzOAvzLO0uMzi+Qv0ewNa01Ps3neQVnOGdmompmEUcez4Mdba06y0V/ArPoPB0HiqaBcTQ13gBTXe9tCPs2PuIP04IpB1PK9DEoYIp0qaxTR0TDNICXsn0U6TXdMHed97/iavLXZ44aVX+OuvPY5SGTvn5ggqPkorpuZ8UnoElToLO2dxHU2r7tFvL9GoVnj6paN0Fs/R6/dxHPOi9NpZHroiQ6cRJ06c5LbbbmdRajxHccddd6Nzq76oOLS7y+zYUSccrtLrxTh4pJGDQwWlujjuEOk6hElGqlPcPHa45zks7Kyj9IAkTkH7DEIHb+cccapYWVFkuor0QcUKx3GJIkmaOvhUyLSH53u0puoEvkuaCBQeSjpoEeMLRdRt41QbuBXJ6uoi504f48zxo6gwI9AB55ZDXrvQRVb3c+S+BwnqUwQOHLlzF1l4moX5Knfd/RCf/8LXubB4BsedQjh1hOOiUonQgiiJAY3UfbJ4lSxpo7MVksFZ7jy4wJ75Gv32GrVKheEwQmPi9PsVl1RlOMrB9SsolSv0Mg0ohCPQIkLLlDhxSBOo1SocP/YSruvwwAPv4rvfeZZzZ06ysOc2wqiLdmTewMVIp4pOzOp4zzMrvaVM8Z3YKBCzANetk4QpjruXF19b49ULGXfNKFwdsTBdY6imOLeyzMz8NF7LIQlNjPV+v4/jClZWl2i1WiA0vV4PgF6vQ7M5RRLFTE9NMzc/R6fbpT8Madbr+H5AFIXMzu8kjWOqjQC0ypU/PmE4NJ4VvT6tVgstBHGSMuiu4foZrl/hwP4FPDcjzXIFtpZkChKlSFVGmiYkiYmfn6RJbuyQNBoN4jjFkaarDcOI+bn53CMoZNDrm1BjwiWMwnLFu1CjfCnFCmulFEqbUEPgIIUmTo1BMFOCYuDmSfBdmGvVaLcXjRFV+sY4GkUMBibxutZ9tAbfC0gTlXuGZGVOlCAIUHlImdX2ClmWkvQS1uIElSl27FjA8xyG4RCVpWRFuB/h0uv0iKOIJOrjuJr77r8LhCRVCqRJcXfytUW+//wrZKrC7kMeru/gBT6dYYcdczOc+MH3aKoBO2Ycht3TBME0tx/cwfko4qljLxKmVe644yAnXn0SHUcwyHAizfe++13uf+Awpy+8iPRcvv2tp/iJh97PnukdqLbHYX83hw7cjtuqsTzo8sRzz3BhEONSZ8YXHFnYQcNJ+P7JlDXtQOsQlWCa/vISF1ZWcT3N2+8/wnve/S4C10PHgkwrBmnfJDV3HIRw0ELl+VtCPB/QGa+eOsnaWo9Eu0jXY2Z2FpWkKC1xhQlZ6Pk+qcr49lNPstLvsbrWoTeIGPRNIvcsc8lQZe4LzwFHZagsQWYm94MUJql1nKVI1yXLhhzaM0WarKHiGXx3hjA2Cto4S5BOZIwNKUjhGoW9hItL54kTjeNJ5mdbeG5Avz2gWp8hSwb4vsD3NTqLUCql1+uze9deTp+OqVZcphoNVpeXmJuZot1ZYTDssrq6SrVSJfB9KrUGSaaRrosXVEFlZFqQKtDSJc0SFNCanjYJr8nztIzNEoV08+GGg9AmdJUjQQlNlhVeI4osf5ecIoRW/iah1q3vzI0zhfZeK5PYY3xiWgwMHemVChHjLZa7T+ehkYBc4T2uVdCgVX79rDQSaKEJijBgWqO0xpVFgm+jlJYeQIZJc5ErqpMYlWrj/SHAEcaw5LoenuPiOC6hW0HmBlqRtxNCQJrERm5iNHyVjiBJFAiX/jDi5Zdf4W0/8laG/SGudFhZWjYLD4RDGBujbpImZJnx7EyzDN/3UNoYiJvNOs1mkyQxXipxNMz7CA+d51ZSyij3TRg3403TH4RIHLzqFH7FhG8Lw5TA99FKMxgarwc/qCIdj6Wl8wQVSZbG3H3nXdz+0Xv5yle/xYsvvUo/FXTWesy0pnG0SyhjxA6H1fYKa+01XM/D8xy8zCEMYxTgOg5pHOPnBoIkTojjOM+T4pRhGqMwyb0mJGfOLrJnz14816VWcxhGA6Q01cl13PweIQqHdDttms0mlSAoDc1CCIKgglbQ6/Zz45k0OX9ESpqlBBWfXr+P63nUGsYYgjQh4VzXxUEQNFvGGJMlNJsNqpUFXj1+gn63x9zMHBJBmiQs99r4gUcYRXieSxxFuK5HFEUmdFbgEsVDqr5J2h7FEoQiDEMqlQr1er3MkzIcDst31GK5GsZzDqyfcm42WZebToiLWPMb1XNbe4lsVJFvnPKu27elEmKkpN/8PONl2kzJP7b/dc3yr49yYKNB59om81d+3Y35EUS5fRRCS44dN/5MN3r9bHYN873xsB7r965n0iiyXqGV/xWMlWvyHtYfu9VFJswAE8rhcRnkniNCGS/wMdmMatuY0aewj1xRhdhaCW3iv4+fq5DdpPGn/I4e3fGEQalQKAu97ltjyjcxpjQbk8fovFfHZl/dytg1Gf99Yx3Rm2j1N8s9UTyDKyn2+H0W3xXrDtgQn14zZiBRZbtX5De4Eu8Bc63J51cc83pNUCPboGZ9fZy4sYmrTV5hvRzWk9uKNn6HvMaJUbsgSsORMSpKEyDNnEcLtDChtTarymXOEg3k39WY8XyxkH0rr7T1b8fluNw9b5TZ1bN1/3aF3xVbeXC+gdmi4disFRv/y9i+iRY9f6dNbcrDSwmNK4pwhwpXZDh5aKfxOaBpJzaODbaS6VbXX79t/Iau/PlMluNSY551lzC96PoGav1xeuxTMc8tha3zBOzFfFwzEtPYUyka0bGLTbQoejQfv/Fs2uJPfC79P6/kYV+GW9swok3SWqVN/OkTx1/F9ytkWUaSJphsHypXnPm4rke332V+xzzT0zMcffEoaytLHLnnIG99232stVc5fvxVlhbbzE43SRNFNXBY66zx8tEufqXGvn378DwHUkE4HHLqtS5CStbW1vACkzQzjcHzfKq1Jnv3H8T3mqSxQmoHNCRphuuYeOVe4CPEEIGiUQnoDxXVWo1GYy9Bc4FhFONIh/Pnz/PM00/juT579++j2+uhMsW9R+4CFCdPHEdlmgtnz+AJie9Jer1OHgJJECcJjXqN2dlZEJKTr57EdxzOnTnN+fPn2HfgIPValTPnLuC4PrVmHccxCn0hFDpL0ErgCo8sVkTDIfO7WmRC4wYBQeCCVgw6Ca4nmGpVaDQC4+UgqvQHmkEa0gsVS6urSNcHkVGp1XBFRNyNmJ/eiUhcAt+jUfORMkOlCdo1K+M9X1ILalQD6McZ2hFkacTi0jlOHD9GFobIxGOl3WNxaYjrNzh02500ak0C6fBT73qIqSkfxwevWsELGvw/v/gB/vPv/iHDsE9QC3ClJCElUxqlInQ2QKcdknAFnbWJ+xfYv3uGvXvmyNIhrmPqQeDVQJpcDqQmaazOFTBSjidLNc28WR0scByfLINMJSiV8vJLR9m96xAHD+3he997kdvuPELQHtINQxxZJU5DhFvFcSp5a5iZ2PaA0hqtHJJkiON4qESiRZ3T51c4erzPvT+2gFtbZmX5IrHbxHE9umttfN9FK+OFMTMzQ7fXLkPtJEkCmBW9Ukq0MqtVpeNw/vwFhJS4rscwikmVptls4rsuQ8wK+DSJTUiQNCFTxigwGPTJshTH83Bdn6mpKYTjGMNJLaBRrTAMI7R20BqyPD9OksUkaYCTl8l1HBLXKMGSJMGVTp4gXZSrhMMwLFfbFnlKojwPSLHqtshxUISkGc+noLXJ7yELN+DiOCBMhhw6cDue56CzlGqlQhRlBG4FTUan08mTQZtmttFo0ag3GAwGxnstE2WIlNXVVYTQJFFCvV5l0I/RWjE1NZMbplSZsF0IY8yJkigPCVYniXoMw5C5nTvo9CKGUYbjOvTDhOeeO8bZs8tkVHkg0aSZYmH3Ll46doLW/Ax7du8hXjyO60gcN6A/GNKcnefuew7xzPPPc+Sed9FpL9HrrLF/zwGWXrvAV7/8DVrTLfbtPQh+xvMvPI+nBK3aFFP1WRr1OdxdLlrD8lqHWiPggXuP8OTxl3DSIQ1isvYS7/+pn+Sezv187ekniaMWVeXSaV/k3PkVZuam+IVfeB8H9s4SRR1cbXLkaDRJmqLiFMcjT1ZulJNIRRonRMmQwXDISnvAvQ+8jUpQIU0V6dCEINJa43oeX/vG17iwtESmNWudDsMoREoXdD4818Y5U2uV59pRoFQx/qDIsVGk59ZkaGVyKXW7ywS1CnHooqVRyCuM56InKmRpihAu9YZReEZhHxFCVA+oVurUqnX6nSFos9YqSWIC38EPqgyGQzzPod/v8MB9R2ivrTDsD6jv302r1aDdXqNS8fE8l37fGOZqtRqQe0QhSbOMTCuTsE6bkF6eW+TB2GowZmbTjuvmYY2iMsRTkbtHQLlivxydqcmzFIO3idVbZfyCMbWNMO+cUKPd5v0syjjKk7I5xeqh9dNDo0pAmOTpWoMjRX5e8rjd5F4+RRxscq8VhyJxPDozIdxSQYJAMcg9S/IE8UikY8LuKWRpfEVKtIIoDsmyjPZah7NnzvLWB3+Eeq0OWWb6iSyjVgvItCLNw54JBVopXNdFOJAmaelt0Ov1GA5N7ovmTCMPKZVM5NcwIcZMHVBKo4VACp89ew+gVYJGkGUx/ZUeaZIipWDXrgVOnz1HFCXcfsdhOp0VtFZ0ez1OnjqPkC5+UCFNMnw3IEsUKlVUa1WTL8f3qFQCvCBgynGIkmXm5+cYhInJy6JNWDLf90gihVKUnns6z19jvCjMBDxNFWmmkI6L0grHddBKEcYh2tOlwqvIeTMcDksvjXFZ6DxkVxAEpg/IvTSKxPVuFBlPkSgu84skccLc7CyBa/oYTcbs9DTSk8RRwszMDK+8cpx3vOMdeZ4bxcKuXTgO1FpNVKZYurCIVg6eN6TX71HTxssnjuMylFq9XqfbW6XIiWJC3qm8Lxteos5bLJfGKH7Jxzm6nE1u5gmwPo/E5LbNjh8xHlplQqm27rj135+81qXv48rnwZPeLZc//lLXvbbvj7670dhw/djY521UqYz2FwrKcvX3xP6xoFdisuzrmYyPXhgPxhUbG9XA6/dOno/yuqOV+pP3M/53/Rjj0uSKIF2ofEb3KIXODSMZUpr3pbjuZA1eb6i4BGKyrBomzjUuqSIE6cSXJ0J+jq6uGeXo0Ouez/g7MqlENzd6paHArlxZLLZ4nmLsd/6sxFh9GrvA1sp8XYpgQgGmN8pyw8nGNHzlPY+vKB+Td/ke5CG0WFf3Ru8Ko2e67rIb695Wb83m5sONbLRSjOQ2boTcugSXOePmG8WojKMNesMhTp4vZBRaa7yOmzpRGkfy6xQGkaIuFDkijOZuFKpsK9bvux4GjWtlvA0a9WWvv2G/rl3BdbrmZeW7iTHHREnY5DXc5Lybnb/oRop9Eo2HMYz4MsUTGa7I8oOd3KxGqSi/onsYsw1s1ktObtNl+3z5PuZyBpHR+UZHj8wPm5sDJrcWbeHEuctDCmuGMLlYMHosLcZbHfJ3cbJ3m5CfhlFOqhv4lulxCU5eXxRjS715C3qpMcrluKUNI41G06z2lh6D4YBz585SqVTyxKfZmFXdtEtFnoLde3YTxxHnzp9ldnaa/fv3Uql4HJrex475Oc6dXWLp4hqLF5ZwPUVQkfTCmCQOee3kS4Bgbn6OWq2G45hVofv2HsALAoR0kdKnUmkQVOo4rk+SKNI0RLgy17SY8B4606gsZRAndHoJrWoVpMvSShs3WUMELe6/70FqtRqnT5/OFa0ur732Wh7fOuOLn/88Kytr5Yr3LE6oNppUqlV6vQ5vue8tzM/Pc+rUKZCCg4cO4To++w8c4mtf+waOdAjDiF6vz2AYcuzYK+zdt4/WzBRhaGJbB5UKWdbBc/OY646kVq/iSElQdXB9h3q9QhyntFeWSeOUNK3j+zVSoRAkTE/XqOORLLZZW7lIrTELesjcrimO3H0Xp14+ztrFVXbN7jPhxaoOaIXjSOq1CvVqFaFjHDK0jggcQaJi+v01zp46icogyly63Yy1XoZyqtx99100q5L5WsJ73/NuKo06iUpxPUmWCcLukNlWk1/4uZ/jDz79p7g6I00HODojzSLIBmRJG5I1osESUgy5665DvPPtR6gHkmG3w7kz5+h1TDJZtIm/7roBQjuAQjlGj4oGLdWkQk9p0jRBqYw0TRFCEEVDvvmtb3DnPW+jNV3n5KnjtGb20h2uopTI48VXkE4NpWMyNUAQIJVnEt0jwEnQhGSZi6c9hgOPp5+5yE/efxvpmqZVSZAM0Y6L60jiMMLzfXzfp9ls0ut3CIKAarVaGggKQ4mUkjAM8TyPVqvJIBwiTCuLlNIkoh0M6PV6zMzMGGNEljE3P8vq6grdbtcoDvPV5cMwRKkUDSRJysLCThZ2LbC4fBIwyrEszkgShzTJSN2UNM1j5+eJetM0Nco/kVGp5B4Yacba2loZJijLkyK7rmuUW7my0Pd9k/sln9GM/9X5anIphfEEyxVqhbIrjiOazQZpGhNFIYHrmKmVVnien6/WEuWzLQxkSZKY5L+uUSbHcYzve6RpQrVWK8PdpGlWepNEcUKWyXIVtVEiOiSJSdSskLh+hTjW9AcxXtBAOlVOnXqF5184xvJqj1oj4OWXj7P38J2gFDt37uT0qVfZ06wyzCTKDZCOQ6IS6kGLt91zD6+cPonjVFhbOcvs9AxaaPbsu52Xjh5HVFqcO9Om013h1Ikl3nLPjyLTAKRH5krCKGat2zZhyOKM1lSN/QstBoMVWgE4WcriqdOcXVpleDEhWhGcX13j+e8eZThM+fmf+xvce+Qw0EeKmCQB3FzRnHszmM7cGM58z0XJjOeeeYbDh+5gWEtY6w7YuXMHw3CI6/h5yDJBo9Hg2LFjHD16lDTLWF1rEw6H+bOa7BYLo5ky2toxo9n6iYoe67sz+v0OSk6TpAGpTsERKBGbEHtZCkrgu0ZxW683GEYKlSaEw5C4mlCpVBl0zKr/Tidkx84KkOJ5PmG/j++7zMxOMz8/z9NPP0mz2WB6eqoM2SOEyBXbxnhpjIJhHlXJTKSkzPskTAimIAjWeWCUUhgNMXJFgta6fJ8KY6MYO9oMiDfKSYz8nMt9ophZrptA6Hy2v5XxY8LgscXkY+N3N5myi3wAn4ecKiZ2alzhkE/uHOmgtTESo7QJEaZzzyKM8VVlMVqZIbrIk8MX9yeli8gNsEmSotKYoOLR7XUZDofESUwShniBhx/4+EHAIAqNMdkxxpXxeyqU+4Xh1/NMbpIiN0URKrBICh4EPghp+nJkHipU0Wy2aK9eJNUZJjd8BiKj0aiiUdRrZtHJyuoK1YrHzp1zJFHGmbMXTcivNGVh9y66/R71Zp25uTnW1rpoJYiTGCEoQ381m02qtTrd/iLVPNm45xtjhFK5p0Tg4rlyNLHKw0s5jvF66fa6zM9NG6Oe45DkbXzR59SCCrVaLQ/BNSzra5YvUsgy0++C6Rdc1zV5zxwTSktKiZ97aVQqlfK9z9LMeHVIh5XlZZqtujHOaIc4STl48CC9Xp/z589z1113ImWD4XBAKjW9s12yzHjJam1yR5lQXd0yVFYRxm4wGJj8QJVKmQuoyMfVH1jDiOXqKFfE58o9dN7OARsVYOsYVx5uOO/mn0fbt1J3blrISxwzqfC9UmVi2cVc7tqXOEd5HriCa19puQqjyKWDSE1yJSrBcaXMuBFho/p4fPW7ZFRHJp7hhvJtvsp1dDxl35n7TjKm9t9wH5qt70IwppfJv18oqCfuAUovic0QY79Hxh9TKi0EGcIoeLVJ8Lte+ZYIZ2JMYAq4UXV1acZHSZPqm5EyqljQMakQ2kq/WtTF0tOnzIkxOnshNc3IsDMehmx9SK31d3S16rDxJyzya078CD2ZBz6fT25+vS1krdkgyw2MBrC5rlBPbKMcA5ojpNQ4osijUYSLUhP5RkqvidfVEEzew1ZeJJvdpyyf3Pqx62aj2skzjgWZM8fpyeMnWovifHnRzCwrX3kuQGmBk9+/kYcyP4x7mk2oMEtDR6blqC3W5ruFn0jxTTH2I9d93kwy49e7XD295P6r1Puu7xMmynoLen5sVt4rUYtvfp9i7Mlufd715xi/jsr7JQeNJzICkVIRCRVpfmLtgRIoIcqFwuNtyJX0rFt5h2z4rhi9ReNhqrZ6Zy9z1clTl1uMVNa3dlvJf8PdjQsxL6iZz+aRHYp+QOdXEeMzfEEpwPzz5EKHTa+4LYzyXm1iFGF9qzbaL4VGMGqPXu9LfUsbRpLYhHdQwihrLywulkqDKI7NqnxJrtTVJHHEVGuKublZjr98km6nzZF776TVaiCFZjjosrqyyux0k0a9zsx0g05njV6/x5nz54hiE3oiChMunDuD5/tMTc9w5C338raH3sFqu4Pj+IDD6lqX/iAijRKEcPC8DCVM8ujAqyCkxqkGZDrCdatoKmSqhhYu3X5Mv3sOEfSYmprB8Tx279nD9Mw0nusxNTVlDBa+z3PPPce+vXs4dPgww8GQbqfL/n37iSIT/qLVagGaPfv247hm4j4cxtQbTd7xjncipWRldZWXjx2nP3yWRr3J2lqH3XtHyU6DSgXP93EdB40myxKmWk0aTRdZ0SBSPF+hlCaOQnQMZIqK79GPIlxXonSEFBI3z2KdJTGujNm9c4qF+TqqP8Pa+XNUvIxatYoUMb7vIMioetCsuegkMwltM4EMXJbW2pw4+jyrnSU0ipW1iAvLCY4/xf7bDzPVrLK75bGrEiNWXuGVV1MGqSBDEaYZYazoDFK0rHP3bYd57exF4kFESoxwElTcJglXGXbO48mIhx56C/cduQ3fU/gSds4dYt/eAzz3zPMsLbVzRUpAGIcmFr0E15FkAsCsctbarHBXWYaQ0oRYEaMQLr7n0ems8dJLL9BoBCxfPE+zNUfgC1RqcopkWR/HqSOES6ZkGY1GZWbw4boBWdJHiioq9XDdGU6cXOPlE3Bk9yGi8CVEFtGoeVSEyzBXDnmeZxL45gmAgTJ5bLGKdjAYTCggpTSKNc81ScSTOMbzPKrVaqmMUkqhlaZaraFck9g5SRKk44Awq83TLGMwHNKYmmLv3j08+/wJo7TNlFkdnKZkmSKJY1zplMaO4idNUxzPhFxxkKUBR+Urq6N85W/hoSHykHphGIIjS0V38QP5imUh0Ci0Mp2g4wi0dkCluK5JBJ2plEajhpfHsxdCgjSJ4XVuMJJSMuib0HKFgSlJktJIZHI8mBwEUjqkiSJOYrwkKctdKAbT1HiRVfxq+Swcz2cYDiBWeEEDP2jx2pklnv/BCV47s0hrap7m1DznLizS3LEb4VWYmmqi5mY4/sKzHDm4j8UzJ9ixazdaZVxcDulXl5naOcPL3zvKoA+OJ6nXGhzce5gfeccOXj11muefO0EtcHnoLY+QDDVCuWRC88yxZzi3uEi310WplKnpGe655x5m6y5xu2tyXfT6pHGf7337W1RmFlh87SxrZ44xGIS89aF38NPvfS9KCqIwJPB8pO/hSJB5Vj6dK4KTJEZnGcIT9PsdVlYWmW5NIfHZtbCjNEImKkFIo+i8cOECf/3Xfw1Av9en1+vlRiePJDaeIbqYtDEersnUe1NfzHtdTmKFAKHQWYZCIkiIop7JMZRkgCTLTNgvpSjz20RhjOuaXDGu49Dt9EgjjePUSDNTBwedDmJhzoQ0alVIQslgOGBhYSdxEtEf9I23VaNJGA5RKjMGs1SVXlLF9bIsJVMpRTJErYxhyfO8vK/Mcq+SzQ0jGqNUTpKEvXv3Escx7XabIAhMbo9cTkoohBi9W2ayUMy0BBvGYYyMGONxxDcb1IyH0NqMUU4UNSp9sSp6fMZXXrf4W9y3KaMEkLnDS3m9zNQJB5NIXgO6mA7m3nu5Y1GWK7nRZiiXJpkxoOSeDFmWoVWKUsYzLc0S4yFReDQAcZyg8/piUpeYPEaB7yOkUeoXXgWu604Yt4pcSoVS3+TFkCRJjJTmnRZSQp6fI05isnhAteYhHY0LRFGPMIJGowZC0uv3adbn6Pf6pKmm2WyVBg0N+H7A2toa9XqD+bk5Aq+CdCWnT7/GuQtLuK5LozUFwhhzBiojiU2eLinNRLjIQTJ6JpOefGEYsry0zO6FHQSeQLmgsiw3zgmSJEUH5DmCYHp6mjTLTOjFPDcIjDxKCkM5QFIaq31E3k4j9MjjJPeUwvWYm5tDk+E6Lt1eF5A0G1MIIcok7aury1SrVbIszo1TxlA2DKOyrxwMe2X/miQJtVqNJEmpVKpl+1/IeOR9arG8fiTk4U608RwTxnCaFapmXSgYS5X0xKf1U1Tz+2rVpusZ005s2rxvVIhf7lzlysKtTnmZc2ymkLu6c63//qSXSKkQv2xpNm4tzrf+/DAZBq24zqTXRTHOyRXCE7kW1nuObLyHQilR/DfRr4r8DFqgUBOlfD1mIKPm0EgtNhg+xuUmSmPA5phQlqrsqYteW4mx8giTMDpQRukWyJRAprhS4SpFWqy6RYyNGy5VU0bXnvTO2PxYo7SnDI9SrqofVxKJsX2Mnpsj8lBGoniOeuK8lGUfG12NecxsVAoWf6/8DR83rhVlHO0bvb1yrJwUxhFGstzsehPbdGFk2eoNKMZ1hQeLnhh2rv++hDL5t5DkRhETTs2RWe4RkScbH3tnro2ibR1pMjdva8YNMBsNlMabSY+eqxboPGzrxLPWI/VhcZwqrzBep3OZ5RaSwohYmtSEQCLKvsQTWVnvisIVpi9lPkwY1DOEGTMLbaSZX6cw2JuQXOBgwqPK/JpbGUaKF/FSKtDL7StlXb5nl1enbmUQKVuCq/AUuV5c7ZW3+t5433+l5FWJDXky9KiurpdhYUjSWqOEWbcnyvqtSHVKKiU17VATCTWZEOsYpQUJTn7dwhhn+p4rNYyMj2nG7mCs7o4mrWNLBScNu2OILf7fcCUxJt9yCKQ3/ebroazLYuSBBWP3Kkb/m+ubNlEJzILnshyTz+96lO2Kyg+bGGVGY7qiz1f5jRTbJRpHmrZbXkU7fUsbRtIsVzJ6glOnTpmQRrXZUmmDVDjSTGaTKEUpzcKuBRzH4dz5c1RrFfYf2EetVkFKbb7vS6JhD60FU42Awwfv4o67bufFl17mG9/8JmdOn6MaVJidmWZtrcvZ06ep1+rcccc9VCt14iSj2xswDGNEnsQbnaK1UQSrLEIgkNJDeC61pouKBlxY6jIIQlLt0u5JlvpDKk1NP4xZXl2l1WoyM2OScE5PTxsFmedxzz33lGEfGvUarVYLISWO6+EHAXGS4Lhumc9BaWFyriQp0zMzKKVoNJv4fpVhnLFr114SpY2XAwLP81Gqj+M6ZnWp65AkEcLV7FzYRW+4guMJHFcgPA9P+Cahd6IJHB+dx/FWwly31+kjtYcrXepVl90LUyThGnOzVWanq6yunieLW+zZs4Nms0I87CF0SBZLk+hYp1SqPmvtDseOvsCw30anKRdWVumEAlmZ49Adb6HiO8zNBPz0O+7i5W98kfapIZm7mxOnlrmwtEJzZhbpV4mVJIzXwGnwzrc/yPeeepreoIfSfaL+IsP2OYSI+emffBd33L6fMOrQHQzwXQFKUas2eeCtb+P4K69y9MWjVCoVE45GanSmTM4LYbwItGPCpwhhEvIGrkecmDwShaI/TVOk69Hrr5EmFYZDQRj2mZqeYri0ZmL6qwj0ECkDRGbyLAjpIKSHyhRax2RZguNVSJIMISssr1Z48vttfuTuA4TqNVL6dLtrBPU53PzavV4PrTXNZp1ev1euRPZ9n06nY/KCaEWSZLieRxonuI6L6/kmgW+aorQmysNXeZ5HmiSEwyGdjg9A4JkEbEmSUPV8hHRRysTIV5lxoJ2bm81XlWMmKUrlnhUenvTKkCKF0aXwGvEcNw9toowBLV+R6/v+RGLb8VXC4yG0Co+Q9SvMzTEZmQahJWhMTPk8QfJwOEDmzzgKB0jpEdSC0iBbrEAehhFCGK+aMAzxA7cMrVOELIuThCxNqVUbuSdMjOM6CGWUmrOzs/T7XaIwYjgcMrewiyTJSMKUoN6g0x3SmlqgO0h46ZXTnD67TKY8shROnzmP12jinniF+d37qDfq7Nw5z9KJgAsXFmlNL3B+OSVMNZ0opKZCnv3Wk0xVZrnv7Q8wTFMef/zr1KoNas1ZZnfuIAubuAoO7L6dE8dOMjszQ2ewwkC12X/3TuZ23osUkql6C196kKXs21FnWmg8pYi8Kkfecpg9h+6iUQlw4yZzM7fxkz/9TlLfIxYC129BLjcpAIxiP81MVy+EUexmmekYG40atVrA4oU1du65jTiOcVwvD40YMAwj/vIv/5Jur0scx6yurTLIV2AbpWM+WdFbTc9GwwPTM4+v5NOY8HYprqeJsiFBRRMrhfHQEERhhBQ+mYqIwgQwilcpBAsLu+j326wurZBFA4T0UalRmrfbHao1Y1hxHEmaRrzlLUd49plnqNfrzO+YpdfrsbS0XCoPVKqo1epImTIYDPB9Y/ww7whl/dcaKpUKvu9fss/V+fsghGA4HHLo0CFeffVV0jQlCILR+0KxSlSPDBjF4Kb8rCm9Rsb1YePvYK45GoU42HqIs9EzROcl2GwQt/mUp/QckaNjzCTe/FdMIieUFfmpzQqcIvQeaClwdB6Cr7hdBJnSCGEMb1mWkmUhvufknmwxUpvQhZk2YbOKtqkQn3kPRG4gMMbnoo0rlOeO4xAOCw+RoDSqFj/GOGeSpRR5brIswnUcojRhaWmZ6akGOxbm6HQ6DIdDhMhoNKv4gY9WisFwCNLD9TxWVldMOYIK1VoNLzA5V4oxxI65Hbiu5NVTp4njhCiKiOMV48mUpmTkfYBKqVUCCo8kMAsJBMbIZjxzjKfN6uqqCTlVcalVa7iVAK0zyBcehGFIs9lkZmaGdruNUopKpcJwOCwn0oX3UpYbpYv2uKjLIjdqIzRRFKG1phIEVCtVVGL6kTQ1XntJklCp1MwYwPM4fvw473znO0qvnTjJaDQaeF5gvHkch4yR10hh0Or3+3nidWMMKYw0nucRhib02qXeA4vlUiTaIdUyjwM/CpJUTsxF0VZBGQMxZ6T0GW8/R0r1SUWA3rBta8PGSFEwrijZTFE4+f1Lq67Glf5Xy1blGO272vPqTZT8V2YYmVSuby3TQnGw8bmMKa4Zl5PeKH+x2bnXl3d0rnFl+ki5P9nHq1JVZlQxKh8XCL1xBf346tBJbxa9ruzj5ZqU0jiylMnYd8aUZ8bIYEJoBSKlKhMqTkLVSVBaIJSDybM2UiRrMVKUjYYhk+ONrZVk644RxT3l2/LPpfeCyEMWydH/Uqgx49aYjNYp3DR5Hjc9UnhpTDhNpdkg+a39SNaXfHR8IcPRvYyGfuOMjDkK17h/m3NIo8BXelRDtmJ9XV1fSiFGZoeNhsjx+kPp+eCUIdRyo0i+zXiLqNLgVIQJHF3x2g0lo9Z4PExXbrLYwug3LqWi7R4Pp2bGnuZOlSjqpy5XjhfaUVU8v1JI4+3HWP6Qog6ijUeVSPFEmufiyUrDUeFVU3xXrDNIytxPpNgni/d7XKaF8pONYbUmnrYo5myXN35stn+DEaSQ49j28bo2buTZ/Gc8P+ONR6z7e21n2YpL973jsttwpBh5LJTPUcDI9KXHDzVhcaGsgy4ZnsioyJiajEi0g9KCTAsS7Zr/c+8Rs9StCL+84exj18nf3/F55PhzFvl7uP5Wyn0bJXbJRQVF+75BNqP2dLT4clTu9f3jZRFFL1u0wzrvr2BkQM37sry9d7Qo8/uUz1GMyiDKDa+jHNfCBiGNdC6mvOaexveVnmZj7/KVcksbRlzHZWZ6miiDbqdLkVsgikLQZuV1oVRI04xqpc7Cwm66vSGDwTA3NkzheRKtU+IowhGSLF8RqrKYHXP7ScI2R+49yN/4G+/gB88f4w/+1x+xtNRlfm6Gaq3JubMX+Owf/wmHbruTO+++B9cNcJyMJEkhb/Q9N8WtCryeyp+xg+M6VH2fzG0wjLs4WuIEFZRQuL6DX6mQxCbe9MWLF3ng/vto1utEYQhaE4ZDgsADBEkc45ShjEIc10W6Lp1eH+k61Ko1sjRmcWmJhZ076bQ7NJoNstQkp5/bsTM3mvikcUKv16dS83MljlHcVhtNitey2+0QxSG+6+SxWF0qtRbNekzUXUMlJkl7xa3huR5p5jJUkkE7wnObqFSzd/cumnUPoSN8z2F+vsnKxSGeD3NzLWamG6ytpoT9IXHUp1mt4ft1VtsrfOc7T9DudIiziN6gz8pqB+VPcfu9R/ArNbK4x7Dfx8naHNpZ4cLZE7zv//1FTn76c5w+eZIdiaIxPUuUaaZmd7Fv/x3EiUlgv7bWYa19mn7/IvUK/NzPvo9d89MsLS+ishBHKip+g0xpuoM+O2br3HXPXUgpOPri0TznRAbkYZi0wCwvVmgJqcB40ag0b4iNQt5xBEmmkFKTaUUcD2k05llbW2FHrYHngsoUqUrQOsLxUrROQSdoXAQVs2JWZzjSQUgNShuvEmeW7zx7hp/9qSa7Z+YIwxgdhURhSLVWJ9GKrFhV7joEQUCv18N1Xer1eqkwOnXyBFNTU+zevZvV9hr9wYCgkuGkLu12mx3zOwCjZM2yjOEwws9zOqRpSr0akOReEFmW4QgH1/No+j6u5xLHEQsLC0xNTbG4PEAgkELkeUI8akF11ADkCtTCOBLqENdz0bhm9X2ef8T3febn5wGIosgkYx8MiOMY13VJVFbe3/qV6Fops6BSG1maXBOaLI2pTE0xPdWkvXqWwDcrpZWSuE6QG4bcsgxCCKqVCo1GowzrValUytjxQWC8WLI8NFa/32dmZoYoSanVqgyHMBj0cZzciydOUKmm3+kSxQmN6brxUvLqaOFz6swpXjj6CjgVZnbs5tgrJ1lpt/mpv3kf9ekphKPodFZxA5/Dh/fzwpNPcPDQbSz2Opw4c5HpuR2cPXecOFG87ZG34ckagUqYnW9x5MHbOfnaeRbm5rnvriMcffYHTDWneeRH9zA1M42sSo6883aCpo/SiopfIewMWT63guP6zLR2UVERUphkyo/Mv416aw6HlOCuJtUqOIHg9MoqFddjulbBFwpBiONoPE8ghSLNBJ7j4nsOsUo5dfIYaTZgZnqaixcX2bWwj2arlRvSTAgjpTXf+c53WFlZwfM9Lly4QDgM87wMNQbDENetmETgmFBqQuuJldqy8B4hrxcUCnjQWuFIQChSmaKzmCQZolSAFjLPXaTN/igGLZFSkakUKR2Wl5ZoNGvs3rOXlQur9Nt9XN8B6VOs6U2TBI0mDEOqtQrnzp42IdcyRZomzM/PcfbsGQBqtTpREhPHiTFuu7lHiNbGmKpMyADf92k06kYhn6Z52Lf1Spv8vrUuQ8sVoX4KpfzICLJxklok0pTFhHdst1YaXVgaxt7v4s/4WrFxw8mlQ2xptChNGYxCgYx/J5/GjI3Hi/BsTEwS81WORbHykAuUmsRRkcu1UOOTWiVwpET6Lk5u1C08TVQGvl/BcYxRo1qt4gjo9hPQkGVDpOPg+h5xGKF0RiWo5GEVzVS58JQtFoUUBu2ifRn3GMmyDC1MaEIHiSOMscXxIA4lmgzHAaUTOp1lTD4ejSYmjjWeV0WiqNfrRKmmUvFxXZ9jx15iYe8+/MBlaqaF53lcXFwxoQqB+bl5llc7DAYDao0m/cGQOMnzpiDp9/solYIyeVWK0GBKFRNNlXtcGvm1223a7TbNeoBSFYTrkKYm50vhCVV4ghXG9EIeTl5/C6N44ZVRyLHwstIYI1VQMQZDc46UKFxDZxlTrSm01gSBCeEYR8Zgfffdd/P1r3+dxcVFDh7cT5LEdLqrdLsdPC/AdV2mp2cZDvsMhwOqfqU8TxnGUSnSKCrDoxULJ4q+02K5Gobaw1EOjii86WByCq/HVqyv6wNEoaDeTEkwUs5NKq7XHbOJoWLSIDD2vU2PnTxuqynvSOl5bZP3zdRDV7YG9VLn3Cj113O+9dLfWoW8zvixrgzjimFQ6/avL/Nkece3j3p7c85CyapzYwfkiwtKw4ccW6meh+jZQo02bsBhrMyjMBmbyW6jfNffmEaQkSvhMcmhMySZlmgtcITCl8YwUnNiItdDI3Ays0I/VRqlpYmOXSqxRDmu2RhqdaQ4HY0tJorE+IrX0rCRK5ilMKtgC0W9IxSeTEsFfqGonzT5jORTrLw1z2V0zVI5WXgYlIqzUULbS6uVcuPQJs9ipIzL66zOC5Kf19yDKI+VWpBpjcoNI5qRgWTrq48rr9fXnY3tyMiTZTLsmCNGyv9itbFbGkXM/vEk4+uNiCMDxtUqpMfby3HF8FaGz9G1x/8pxqcFDuSeW9rkE8w9oXWu/Jw4+5iytjBclQYscsMRo/rnYkLMeSIzxsT8GFl+V5XGzFLW5AYUoXAplNzG0FLIcDSr2rrmbZTxZJ1fv0Ws28a6o/X6bWMK1WIasL4/G/8s8zo9ev6b14LRd66lB7k81372S4cA02O/N9s3viRNb3L0uCJ+/FpKTz7/MR/+/EiTz6ZIwF5zYlIT2A0ExEqRKkmiJUoIlJZkeb0f9x4ZL5Eof/QGwY231693PDFePza0TWLjtnH0JnsnZbbxOuvfgHGDh2TUppfnyA0kRi569H/uAjMqw7qwj2L8KjeHUauVG3wZReVZ326YenTlb8QtaRgpBhxhFHPm7AVSLTh58hRaCPqDPr3ekCgO8YSHzlPxZCkElSqBX+XZZ59ndW2V/fv3UK/XCKOQMOyg4ph+b0DFM/H9fc8hjkKkk6JEysXFjJ0Ls/zar/1//PU3nuSpp39AkgzZMT/P2fOLHP/yl3n2uee56+4j7DtwkChJSOIQ31V4gVlx2OutMRyCICXBJeyktBqSxtQMSTclSzTCMYaIbqdLP8/VMDszzbGXX6LVaJDlSbI9z6G9NjQrx+fmGMYRwzjFdUzoq+Ggz/LKCo7jMKj0uLi0RKfbRQp48cWXeOCB+6lWavR6PRzHZfHCEkK6nDh1mumZFvc/eD9LyxcIhxHRcIA7Pcfy0gWiuE+7vcSrx+Geew+SJSmoPEqxhmgYkwxSVKyIw4RQxQhZIdYOZ06fIRlMU69XmZ2q40pFEodEiUITkUQ9lsMhJ08KXHc/rgdBxWVteZVht4vSGd/6zhP0+n1c32V1dYVzFy9Sacxw6J77CJpNZnfsJBuusfjKt/ncn73Ij+6foeJrPvPH/4vP/fmX2LlwmGjQozU9ze5d8yzs28vRF3/AqdPnGAx6rKyeIU5WmZmp8hM/9nZqgeSlF7+PG7i4DshcgZXUUjyvwrkL55hqTnP7nXcghObll46idEqGyhv5PJxJlif0VRlKQRxFuF6AlIIsS3JFjSZLEnAFvldlMOiiw4TmzBSea+q8ShO0cBAygCwlyyJ0GgMJjtskA9AecagQMsCRPpqM1XaPJ558lp/96Tpr3R5empClGatrHSqNGlFsDBZrnTVmZ2eJ4pgojukPBoRhBMCOHTvRWnP0pZdpTbXMKl89it2uNFxcWqZRr+eKngpJEjMYDOn2urTXVvOY7T5ZGJPpiDQzCnKEph9ntKammJ2d5sJSD5E350makKaJkVme2FhicvSkaUKWpVSDKjpUeJ6D5zgEgZ+H4EpZWrpIp9PNDT0mVFivZz5nGM8YRzrIMQWvzlcSu36+wj4zz01nmiyOzOrjMCKKImrVBsNhSKczxPMCHN/jtdOv0mq2KPL/COGQpCpXTipWV9cokoCvtTvEcUTgOVQqFdprXfrDIbVGk2h5JVeEaTrdHnEUEcUxrfoUKysrKA3tQZv6VIv22pCllZDvv3CcF158CddrcODg7bRmWqQ6Y2XlIq25GZNkWSWsrq4x7UJrqsnRY6+wOmwQVKfRBCQheG6N9tIqUy3Bl/7qKzz08EN0Ois4rqJadTlx4mVq1QDQpGlIFPeJk5BsmOBEkiiOiMMYHWuaXoss0wy1IJMRnpeaNaserHbPUfMkiYhZXOtSb9URwkOFKXXHJwsHuFIjZUZQdagFAUqn6Ay0SqgEgvMXFhkO20xPtVBKMBgMUbKLrLtEsaLZmOLb3/keTz75PfzA5/Rrp1lZWSEMI7zArOIW0slz1yRmcJAnXC+UyxIBuVI1y5fYld5LCJMHQkAmFHHWJZMuadRBySmkIwg8ycz0LGmUkQZQrdRJ0wiEplZtcObMGfrdVdCSJIoARRqG4MVMTc0Q9i+QJBGuIzl16lWWlxaRjiSOQ1x3lk6njVIZ9XodKSW9Xo8sU7nnn2Iw6OP7HlKacENZlqIzjZBGqT4MQ5IoRClT3wyTw65MCFxp/EHOnz+PEIIkTXBipwylhcpjwkpnZCxRuUpEynJAZjaIPL4w5tjCwJLPMswh48aQyXHA+nEBFANxZQazwkS2Xp87pfRKKyJx5x5CRTitImTFeH6QDUncxyb5prz5Kig1KlPRBwgkjuuQKU2ajlb9O0ZjRKfd5uLFi6iZGRwBveEQzw9MOKc0xdGKMBziSQeVKrrdLkHVN+GitAnd5/vms+M4JFGM1pparUamMrI0DznoOEhXEkUxqeMZg0MSI3TMqZMv47mKqamAtXYbvzLH6soKK6vLNJrTaFXBcWpUApcg8IlTjdY+1TyXx6lTJ5GO4PDth9AaLi4u40gXhEBhwjRqrel2O8RJilk7YoyJSaKpVNy87gm63S6u6xD4HlJkuK7xCgONdARpGtHtdul1a8RxPw+xaHoMlZkJeZwkeU4oCgclAFxpXO7j3EgvpSAMI5RWuI5LmqVEUYzjuggxoFY3+bbSJEFgvKXmZmbpdHvUagGvnDhBUA2Q0mVpeYXZ3bvZvWcvzzzzLJ7nEkYhQhZ5fRzW2h06nRApoT/o43YkfuDnodUUQaVCmqbEcUqQ582Lk4QoNIteVlfXNn0HLJatKOrKoGtCUjiMVpkb1itTN1Okj1YRr1fEjxtCRsqhjUruzZQBct251l9v8zntSDG+FWUeieusg9qsvFfOpRWdV34WyrNc+ny5YWKdHIrvTBiwtlIKMfl8L1euUe0YnWHUb5uwWtlECTa5eHlPGw1wZRisdfczfszW9zOJ0poU4zGhNGRAogWhTolVQpJFqESiUwdShVIeKnNRKle4IXIPh7ESb6bMH3snNiizx7YZw0U+Vsq9kc2iEYXIf8gV9KlMcWSKFBlKajKhSMeU15sZIfW6D3qszON1Sm1oATZBj/5s1pLA2HOH3OBhjE+ZlqQ6JcExn5XZppRJEzxuHLnaN2WiBorJ90QAugz/pCfkisjHv0KhhMaVGUqMDAMbjL/rPl9t47CZxCcksMV5L/eMzR+x4VlrRFkHynONGX60KNSoCl2EPUNB7vGshUKJDJUnXs9yQ1Lxjo63GaWHSB6OrEjWnqJIc+OKIxR+bmBxhQnlOgqpNVKebyaGcWXoqE3cKI/Lfbfcpie9pcxznfy2nNhf3OvYVTdxG1mvxH4jMmqnti7lZsaO9XtNXdvquHKWNrFX5REHxg0jSpu/qRZEWhBqwUCnRFlCoiJSJUkz412eqYxUO2TKIcuN3pNtiRh73iL/rSee4eYyGRlHXs/D26zfLOvxJc4z3m6W29jcYGIMj5ucg6K/zY/So++Oy6E0eoz3AXpSTpN/bzaT91vepzZ9jFEjZGiZIfMwYkm/CPN9+TsQ+hacWZ0+fZr9+/ff7GJYLBaLxWKxWCw3nNdee419+/bd7GJYbgGOHz/O7bfffrOLYbFYLBaLxWKx3FCuZM50SxpGlFIcPXqUI0eO8Nprr+UJxi3Xk06nw/79+618twkr3+3Fynd7sfLdXqx8txcr3+3Fynd7MV43Xfbs2VOGU7NYLsXa2hozMzOcOnWKqampm12cHzpsm7e9WPluL1a+24uV7/Zi5bu9WPluL1a+28vrmTPdkqG0pJTs3bsXgFarZSvRNmLlu71Y+W4vVr7bi5Xv9mLlu71Y+W4vVr7bh1VuW14PxWRwamrKvpPbiG3zthcr3+3Fynd7sfLdXqx8txcr3+3Fynf7uNI5k11qZrFYLBaLxWKxWCwWi8VisVgsFovlTYM1jFgsFovFYrFYLBaLxWKxWCwWi8ViedNwyxpGgiDgYx/7GEEQ3Oyi/FBi5bu9WPluL1a+24uV7/Zi5bu9WPluL1a+FssbC/tObi9WvtuLle/2YuW7vVj5bi9WvtuLle/2YuX7xuGWTL5usVgsFovFYrFYLBaLxWKxWCwWi8VyNdyyHiMWi8VisVgsFovFYrFYLBaLxWKxWCyvF2sYsVgsFovFYrFYLBaLxWKxWCwWi8XypsEaRiwWi8VisVgsFovFYrFYLBaLxWKxvGmwhhGLxWKxWCwWi8VisVgsFovFYrFYLG8abknDyH/8j/+RQ4cOUalUePjhh/n2t799s4t0S/BXf/VX/NzP/Rx79uxBCMFnP/vZif1aa/7Fv/gX7N69m2q1yqOPPsrLL788cczKygof+tCHaLVaTE9P8/f//t+n1+vdwLt44/Lxj3+cd7zjHTSbTXbu3MnP//zPc/To0YljwjDkscceY25ujkajwS/+4i9y4cKFiWNOnTrFBz7wAWq1Gjt37uSf/JN/QpqmN/JW3pB88pOf5IEHHqDVatFqtXjkkUf4i7/4i3K/le314xOf+ARCCH7jN36j3Gble238y3/5LxFCTPzcc8895X4r32vnzJkz/N2/+3eZm5ujWq1y//33893vfrfcb/u4q+fQoUMb6q8Qgsceewyw9ddieaNi50xXh50zbS92zrS92DnTjcXOm64vds60/dg50/Zh50y3KPoW49Of/rT2fV//9//+3/Xzzz+v/+E//Id6enpaX7hw4WYX7Q3P5z73Of3P/tk/03/8x3+sAf2Zz3xmYv8nPvEJPTU1pT/72c/qZ555Rv+tv/W39OHDh/VwOCyPed/73qcffPBB/a1vfUt/7Wtf03fccYf+4Ac/eIPv5I3Jz/zMz+hPfepT+rnnntNPP/20/tmf/Vl94MAB3ev1ymM+8pGP6P379+svfelL+rvf/a7+0R/9Uf1jP/Zj5f40TfV9992nH330Uf3UU0/pz33uc3p+fl7/zu/8zs24pTcUf/Inf6L//M//XL/00kv66NGj+p/+03+qPc/Tzz33nNbayvZ68e1vf1sfOnRIP/DAA/qjH/1oud3K99r42Mc+pt/ylrfoc+fOlT8XL14s91v5XhsrKyv64MGD+pd/+Zf1E088oY8fP66/8IUv6GPHjpXH2D7u6llcXJyou1/84hc1oL/yla9orW39tVjeiNg509Vj50zbi50zbS92znTjsPOm64+dM20vds60vdg5063JLWcYeec736kfe+yx8nOWZXrPnj364x//+E0s1a3H+kG+Ukrv2rVL/5t/82/KbWtrazoIAv0Hf/AHWmutX3jhBQ3o73znO+Uxf/EXf6GFEPrMmTM3rOy3CouLixrQjz/+uNbayNPzPP2///f/Lo/5wQ9+oAH9zW9+U2ttJmJSSn3+/PnymE9+8pO61WrpKIpu7A3cAszMzOj/+l//q5XtdaLb7eo777xTf/GLX9Tvfve7ywG+le+187GPfUw/+OCDm+6z8r12fuu3fkv/+I//+Jb7bR93ffnoRz+qb7/9dq2UsvXXYnmDYudM1wc7Z9p+7Jxp+7FzpuuPnTdtD3bOtL3YOdONxc6Zbg1uqVBacRzz5JNP8uijj5bbpJQ8+uijfPOb37yJJbv1OXHiBOfPn5+Q7dTUFA8//HAp229+85tMT0/z0EMPlcc8+uijSCl54oknbniZ3+i0220AZmdnAXjyySdJkmRCxvfccw8HDhyYkPH999/PwsJCeczP/MzP0Ol0eP75529g6d/YZFnGpz/9afr9Po888oiV7XXiscce4wMf+MCEHMHW3evFyy+/zJ49e7jtttv40Ic+xKlTpwAr3+vBn/zJn/DQQw/xd/7O32Hnzp289a1v5Xd/93fL/baPu37Ecczv//7v8yu/8isIIWz9tVjegNg50/Zh+5Prj50zbR92zrR92HnT9mHnTNuHnTPdOOyc6dbhljKMLC0tkWXZRCUBWFhY4Pz58zepVD8cFPK7lGzPnz/Pzp07J/a7rsvs7KyV/zqUUvzGb/wG73rXu7jvvvsAIz/f95menp44dr2MN3sGxb43O9///vdpNBoEQcBHPvIRPvOZz3DkyBEr2+vApz/9ab73ve/x8Y9/fMM+K99r5+GHH+b3fu/3+PznP88nP/lJTpw4wU/8xE/Q7XatfK8Dx48f55Of/CR33nknX/jCF/jVX/1V/vE//sf8j//xPwDbx11PPvvZz7K2tsYv//IvA7Z9sFjeiNg50/Zh+5Pri50zbQ92zrS92HnT9mHnTNuLnTPdOOyc6dbBvdkFsFh+GHnsscd47rnn+PrXv36zi/JDxd13383TTz9Nu93mj/7oj/jwhz/M448/frOLdcvz2muv8dGPfpQvfvGLVCqVm12cH0re//73l/8/8MADPPzwwxw8eJA//MM/pFqt3sSS/XCglOKhhx7iX//rfw3AW9/6Vp577jn+03/6T3z4wx++yaX74eK//bf/xvvf/3727Nlzs4tisVgsllscO2faHuycafuw86btxc6Zthc7Z7px2DnTrcMt5TEyPz+P4zhcuHBhYvuFCxfYtWvXTSrVDweF/C4l2127drG4uDixP01TVlZWrPzH+PVf/3X+7M/+jK985Svs27ev3L5r1y7iOGZtbW3i+PUy3uwZFPve7Pi+zx133MHb3/52Pv7xj/Pggw/y7/7dv7OyvUaefPJJFhcXedvb3obruriuy+OPP86///f/Htd1WVhYsPK9zkxPT3PXXXdx7NgxW3+vA7t37+bIkSMT2+69997S9d72cdeHkydP8pd/+Zf8g3/wD8pttv5aLG887Jxp+7D9yfXDzpm2Dztn2j7svOnGYudM1xc7Z7ox2DnTrcUtZRjxfZ+3v/3tfOlLXyq3KaX40pe+xCOPPHITS3brc/jwYXbt2jUh206nwxNPPFHK9pFHHmFtbY0nn3yyPObLX/4ySikefvjhG17mNxpaa37913+dz3zmM3z5y1/m8OHDE/vf/va343nehIyPHj3KqVOnJmT8/e9/f6Kj+eIXv0ir1drQgVnM+x9FkZXtNfKe97yH73//+zz99NPlz0MPPcSHPvSh8n8r3+tLr9fjlVdeYffu3bb+Xgfe9a53cfTo0YltL730EgcPHgRsH3e9+NSnPsXOnTv5wAc+UG6z9ddieeNh50zbh+1Prh07Z7rx2DnT9cPOm24sds50fbFzphuDnTPdYtzs7O+vl09/+tM6CAL9e7/3e/qFF17Q/+gf/SM9PT2tz58/f7OL9oan2+3qp556Sj/11FMa0P/23/5b/dRTT+mTJ09qrbX+xCc+oaenp/X/+T//Rz/77LP6b//tv60PHz6sh8NheY73ve99+q1vfat+4okn9Ne//nV955136g9+8IM365beUPzqr/6qnpqa0l/96lf1uXPnyp/BYFAe85GPfEQfOHBAf/nLX9bf/e539SOPPKIfeeSRcn+apvq+++7T733ve/XTTz+tP//5z+sdO3bo3/md37kZt/SG4rd/+7f1448/rk+cOKGfffZZ/du//dtaCKH/7//9v1prK9vrzbvf/W790Y9+tPxs5Xtt/OZv/qb+6le/qk+cOKG/8Y1v6EcffVTPz8/rxcVFrbWV77Xy7W9/W7uuq//Vv/pX+uWXX9b/83/+T12r1fTv//7vl8fYPu7ayLJMHzhwQP/Wb/3Whn22/losbzzsnOnqsXOm7cXOmbYXO2e68dh50/XDzpm2Fztn2n7snOnW45YzjGit9X/4D/9BHzhwQPu+r9/5znfqb33rWze7SLcEX/nKVzSw4efDH/6w1lprpZT+5//8n+uFhQUdBIF+z3veo48ePTpxjuXlZf3BD35QNxoN3Wq19N/7e39Pd7vdm3A3bzw2ky2gP/WpT5XHDIdD/Wu/9mt6ZmZG12o1/Qu/8Av63LlzE+d59dVX9fvf/35drVb1/Py8/s3f/E2dJMkNvps3Hr/yK7+iDx48qH3f1zt27NDvec97ygG+1la215v1A3wr32vjl37pl/Tu3bu17/t67969+pd+6Zf0sWPHyv1WvtfOn/7pn+r77rtPB0Gg77nnHv1f/st/mdhv+7hr4wtf+IIGNshMa1t/LZY3KnbOdHXYOdP2YudM24udM9147Lzp+mHnTNuPnTNtL3bOdOshtNb6RnmnWCwWi8VisVgsFovFYrFYLBaLxWKx3ExuqRwjFovFYrFYLBaLxWKxWCwWi8VisVgs14I1jFgsFovFYrFYLBaLxWKxWCwWi8ViedNgDSMWi8VisVgsFovFYrFYLBaLxWKxWN40WMOIxWKxWCwWi8VisVgsFovFYrFYLJY3DdYwYrFYLBaLxWKxWCwWi8VisVgsFovlTYM1jFgsFovFYrFYLBaLxWKxWCwWi8ViedNgDSMWi8VisVgsFovFYrFYLBaLxWKxWN40WMOIxWKxWCwWi8VisVgsFovFYrFYLJY3DdYwYrFYLBaLxWKxWCwWi8VisVgsFovlTYM1jFgsFovFYrFYLBaLxWKxWCwWi8ViedNgDSMWi8VisVgsFovFYrFYLBaLxWKxWN40WMOIxWKxWCwWi8VisVgsFovFYrFYLJY3Df8/Z2bud4owEOIAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(1, 2, figsize=(20, 15))\n", "ax[0].imshow(to_rgb(image))\n", @@ -319,7 +355,7 @@ "outputs": [], "source": [ "# Video source: https://www.youtube.com/watch?v=fu1xcQdJRws (Public Domain)\n", - "VIDEO_FILE = \"../data/video/Coco Walking in Berkeley.mp4\"\n", + "VIDEO_FILE = \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/video/Coco%20Walking%20in%20Berkeley.mp4\"\n", "# Number of seconds of input video to process. Set `NUM_SECONDS` to 0 to process\n", "# the full video.\n", "NUM_SECONDS = 4\n", @@ -539,7 +575,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, diff --git a/notebooks/201-vision-monodepth/README.md b/notebooks/201-vision-monodepth/README.md index d8ac2410253..0e72685e610 100644 --- a/notebooks/201-vision-monodepth/README.md +++ b/notebooks/201-vision-monodepth/README.md @@ -1,6 +1,8 @@ # Monodepth Demo [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F201-vision-monodepth%2F201-vision-monodepth.ipynb) +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/201-vision-monodepth/201-vision-monodepth.ipynb) + ![monodepth](https://user-images.githubusercontent.com/36741649/127173017-a0bbcf75-db24-4d2c-81b9-616e04ab7cd9.gif) @@ -12,4 +14,6 @@ This notebook demonstrates Monocular Depth Estimation with the [MidasNet model]( ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). diff --git a/notebooks/202-vision-superresolution/202-vision-superresolution-image.ipynb b/notebooks/202-vision-superresolution/202-vision-superresolution-image.ipynb index 6bdc1c42d54..2aebd98bb8d 100644 --- a/notebooks/202-vision-superresolution/202-vision-superresolution-image.ipynb +++ b/notebooks/202-vision-superresolution/202-vision-superresolution-image.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "2a261517", "metadata": {}, @@ -13,12 +14,34 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "ac2e7027", "metadata": {}, "source": [ "## Preparation\n", "\n", + "### Install requirements" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "67a93878", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install -q 'openvino>=2023.0.0'\n", + "!pip install -q opencv-python\n", + "!pip install -q pillow matplotlib" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "95b5ce15", + "metadata": {}, + "source": [ "### Imports" ] }, @@ -33,9 +56,7 @@ "source": [ "import os\n", "import time\n", - "import requests\n", "from pathlib import Path\n", - "import sys\n", "\n", "import cv2\n", "import matplotlib.pyplot as plt\n", @@ -44,13 +65,28 @@ "from IPython.display import Image as DisplayImage\n", "from IPython.display import Pretty, ProgressBar, clear_output, display\n", "from PIL import Image\n", - "from openvino.runtime import Core\n", - "\n", - "sys.path.append(\"../utils\")\n", - "from notebook_utils import download_file" + "from openvino.runtime import Core" ] }, { + "cell_type": "code", + "execution_count": null, + "id": "60abfe8c", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Define a download file helper function\n", + "def download_file(url: str, path: Path) -> None:\n", + " \"\"\"Download file.\"\"\"\n", + " import urllib.request\n", + " path.parent.mkdir(parents=True, exist_ok=True)\n", + " urllib.request.urlretrieve(url, path)" + ] + }, + { + "attachments": {}, "cell_type": "markdown", "id": "fb55a28c", "metadata": {}, @@ -86,13 +122,14 @@ " model_xml_url = base_url + model_xml_name\n", " model_bin_url = base_url + model_bin_name\n", "\n", - " download_file(model_xml_url, model_xml_name, base_model_dir)\n", - " download_file(model_bin_url, model_bin_name, base_model_dir)\n", + " download_file(model_xml_url, model_xml_path)\n", + " download_file(model_bin_url, model_bin_path)\n", "else:\n", " print(f'{model_name} already downloaded to {base_model_dir}')" ] }, { + "attachments": {}, "cell_type": "markdown", "id": "ac90276e", "metadata": {}, @@ -144,24 +181,6 @@ " return textim.get()\n", "\n", "\n", - "def load_image(path: str) -> np.ndarray:\n", - " \"\"\"\n", - " Loads an image from `path` and returns it as BGR numpy array.\n", - "\n", - " :param path: path to an image filename or url\n", - " :return: image as numpy array, with BGR channel order\n", - " \"\"\"\n", - " if path.startswith(\"http\"):\n", - " # Set User-Agent to Mozilla because some websites block requests\n", - " # with User-Agent Python.\n", - " response = requests.get(path, headers={\"User-Agent\": \"Mozilla/5.0\"})\n", - " array = np.asarray(bytearray(response.content), dtype=\"uint8\")\n", - " image = cv2.imdecode(array, -1) # Loads the image as BGR.\n", - " else:\n", - " image = cv2.imread(path)\n", - " return image\n", - "\n", - "\n", "def convert_result_to_image(result) -> np.ndarray:\n", " \"\"\"\n", " Convert network result of floating point numbers to image with integer\n", @@ -185,6 +204,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "944a341f", "metadata": {}, @@ -233,6 +253,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "2aa08460", "metadata": {}, @@ -251,11 +272,13 @@ }, "outputs": [], "source": [ - "IMAGE_PATH = Path(\"../data/image/tower.jpg\")\n", + "IMAGE_PATH = Path(\"./data/tower.jpg\")\n", "OUTPUT_PATH = Path(\"output/\")\n", "\n", "os.makedirs(str(OUTPUT_PATH), exist_ok=True)\n", - "full_image = load_image(str(IMAGE_PATH))\n", + "\n", + "download_file('https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/tower.jpg', IMAGE_PATH)\n", + "full_image = cv2.imread(str(IMAGE_PATH))\n", "\n", "# Uncomment these lines to load a raw image as BGR.\n", "# import rawpy\n", @@ -267,6 +290,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "fc5d16dd", "metadata": {}, @@ -309,6 +333,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "d5d8917b", "metadata": {}, @@ -342,6 +367,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "d2e217a6", "metadata": {}, @@ -372,6 +398,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "d16b4928", "metadata": {}, @@ -398,6 +425,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "2a643428", "metadata": { @@ -439,6 +467,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "d217c577", "metadata": {}, @@ -476,13 +505,15 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "b3e41243", "metadata": {}, "source": [ "#### Create a Video with Sliding Bicubic/Superresolution Comparison\n", "\n", - "This may take a while. For the video, the superresolution and bicubic image are resized by a factor of 2 to improve processing speed. This gives an indication of the superresolution effect. The video is saved as an `.avi` file. You can click on the link to download the video, or open it directly from the images directory, and play it locally." + "This may take a while. For the video, the superresolution and bicubic image are resized by a factor of 2 to improve processing speed. This gives an indication of the superresolution effect. The video is saved as an `.avi` file. You can click on the link to download the video, or open it directly from the `output/` directory, and play it locally.\n", + "> Note: If you run the example in Google Colab, download video files using the `Files` tool. " ] }, { @@ -544,6 +575,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "12d53209", "metadata": {}, @@ -556,6 +588,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "ad91374e", "metadata": {}, @@ -608,6 +641,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "0cabe8da", "metadata": {}, @@ -727,6 +761,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "61760bac", "metadata": {}, @@ -780,7 +815,7 @@ "hash": "ae617ccb002f72b3ab6d0069d721eac67ac2a969e83c083c4321cfcab0437cd1" }, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, diff --git a/notebooks/202-vision-superresolution/202-vision-superresolution-video.ipynb b/notebooks/202-vision-superresolution/202-vision-superresolution-video.ipynb index 7027d0278d0..757dca9bed7 100644 --- a/notebooks/202-vision-superresolution/202-vision-superresolution-video.ipynb +++ b/notebooks/202-vision-superresolution/202-vision-superresolution-video.ipynb @@ -22,7 +22,7 @@ "source": [ "## Preparation\n", "\n", - "### Imports" + "### Install requirements" ] }, { @@ -32,9 +32,19 @@ "metadata": {}, "outputs": [], "source": [ + "!pip install -q 'openvino>=2023.0.0'\n", + "!pip install -q opencv-python\n", "!pip install -q \"pytube>=12.1.0\"" ] }, + { + "cell_type": "markdown", + "id": "b7e726e7", + "metadata": {}, + "source": [ + "### Imports" + ] + }, { "cell_type": "code", "execution_count": null, @@ -45,9 +55,7 @@ "outputs": [], "source": [ "import time\n", - "import requests\n", "from pathlib import Path\n", - "import sys\n", "\n", "import cv2\n", "import numpy as np\n", @@ -61,10 +69,22 @@ " display,\n", ")\n", "from openvino.runtime import Core\n", - "from pytube import YouTube\n", - "\n", - "sys.path.append(\"../utils\")\n", - "from notebook_utils import download_file" + "from pytube import YouTube" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c6824d93", + "metadata": {}, + "outputs": [], + "source": [ + "# Define a download file helper function\n", + "def download_file(url: str, path: Path) -> None:\n", + " \"\"\"Download file.\"\"\"\n", + " import urllib.request\n", + " path.parent.mkdir(parents=True, exist_ok=True)\n", + " urllib.request.urlretrieve(url, path)" ] }, { @@ -103,8 +123,8 @@ " model_xml_url = base_url + model_xml_name\n", " model_bin_url = base_url + model_bin_name\n", "\n", - " download_file(model_xml_url, model_xml_name, base_model_dir)\n", - " download_file(model_bin_url, model_bin_name, base_model_dir)\n", + " download_file(model_xml_url, model_xml_path)\n", + " download_file(model_bin_url, model_bin_path)\n", "else:\n", " print(f'{model_name} already downloaded to {base_model_dir}')" ] @@ -126,63 +146,6 @@ }, "outputs": [], "source": [ - "def write_text_on_image(image: np.ndarray, text: str) -> np.ndarray:\n", - " \"\"\"\n", - " Write the specified text in the top left corner of the image\n", - " as white text with a black border.\n", - "\n", - " :param image: image as numpy array with HWC shape, RGB or BGR\n", - " :param text: text to write\n", - " :return: image with written text, as numpy array\n", - " \"\"\"\n", - " font = cv2.FONT_HERSHEY_PLAIN\n", - " org = (20, 20)\n", - " font_scale = 4\n", - " font_color = (255, 255, 255)\n", - " line_type = 1\n", - " font_thickness = 2\n", - " text_color_bg = (0, 0, 0)\n", - " x, y = org\n", - "\n", - " image = cv2.UMat(image)\n", - " (text_w, text_h), _ = cv2.getTextSize(\n", - " text=text, fontFace=font, fontScale=font_scale, thickness=font_thickness\n", - " )\n", - " result_im = cv2.rectangle(\n", - " img=image, pt1=org, pt2=(x + text_w, y + text_h), color=text_color_bg, thickness=-1\n", - " )\n", - "\n", - " textim = cv2.putText(\n", - " img=result_im,\n", - " text=text,\n", - " org=(x, y + text_h + font_scale - 1),\n", - " fontFace=font,\n", - " fontScale=font_scale,\n", - " color=font_color,\n", - " thickness=font_thickness,\n", - " lineType=line_type,\n", - " )\n", - " return textim.get()\n", - "\n", - "\n", - "def load_image(path: str) -> np.ndarray:\n", - " \"\"\"\n", - " Loads an image from `path` and returns it as BGR numpy array.\n", - "\n", - " :param path: path to an image filename or url\n", - " :return: image as numpy array, with BGR channel order\n", - " \"\"\"\n", - " if path.startswith(\"http\"):\n", - " # Set User-Agent to Mozilla because some websites block requests\n", - " # with User-Agent Python.\n", - " response = requests.get(url=path, headers={\"User-Agent\": \"Mozilla/5.0\"})\n", - " array = np.asarray(bytearray(response.content), dtype=\"uint8\")\n", - " image = cv2.imdecode(buf=array, flags=-1) # Loads the image as BGR.\n", - " else:\n", - " image = cv2.imread(filename=path)\n", - " return image\n", - "\n", - "\n", "def convert_result_to_image(result) -> np.ndarray:\n", " \"\"\"\n", " Convert network result of floating point numbers to image with integer\n", @@ -296,7 +259,6 @@ }, "outputs": [], "source": [ - "VIDEO_DIR = \"../data/video\"\n", "OUTPUT_DIR = \"output\"\n", "\n", "Path(OUTPUT_DIR).mkdir(exist_ok=True)\n", @@ -331,18 +293,13 @@ "# Use `yt.streams` to see all available streams. See the PyTube documentation\n", "# https://python-pytube.readthedocs.io/en/latest/api.html for advanced\n", "# filtering options\n", - "try:\n", - " Path(VIDEO_DIR).mkdir(exist_ok=True)\n", - " stream = yt.streams.filter(resolution=\"360p\").first()\n", - " filename = Path(stream.default_filename.encode(\"ascii\", \"ignore\").decode(\"ascii\")).stem\n", - " stream.download(output_path=OUTPUT_DIR, filename=filename)\n", - " print(f\"Video {filename} downloaded to {OUTPUT_DIR}\")\n", - "\n", - " # Create Path objects for the input video and the resulting videos.\n", - " video_path = Path(stream.get_file_path(filename, OUTPUT_DIR))\n", - "except Exception:\n", - " # If PyTube fails, use a local video stored in the VIDEO_DIR directory.\n", - " video_path = Path(rf\"{VIDEO_DIR}/CEO Pat Gelsinger on Leading Intel.mp4\")\n", + "stream = yt.streams.filter(resolution=\"360p\").first()\n", + "filename = Path(stream.default_filename.encode(\"ascii\", \"ignore\").decode(\"ascii\")).stem\n", + "stream.download(output_path=OUTPUT_DIR, filename=filename)\n", + "print(f\"Video {filename} downloaded to {OUTPUT_DIR}\")\n", + "\n", + "# Create Path objects for the input video and the resulting videos.\n", + "video_path = Path(stream.get_file_path(filename, OUTPUT_DIR))\n", "\n", "# Path names for the result videos.\n", "superres_video_path = Path(f\"{OUTPUT_DIR}/{video_path.stem}_superres.mp4\")\n", @@ -565,7 +522,7 @@ "hash": "bb0b397daf458ed78ef5a7e21732498aa92824cb15d3098f5341da903a887e15" }, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, diff --git a/notebooks/202-vision-superresolution/README.md b/notebooks/202-vision-superresolution/README.md index ac336f10c24..4c3b905a84a 100644 --- a/notebooks/202-vision-superresolution/README.md +++ b/notebooks/202-vision-superresolution/README.md @@ -2,11 +2,11 @@ image | video | |---|---| -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-image.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-video.ipynb) +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-image.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/202-vision-superresolution/202-vision-superresolution-image.ipynb) | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F202-vision-superresolution%2F202-vision-superresolution-video.ipynb)
[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/202-vision-superresolution/202-vision-superresolution-video.ipynb)

- +

Super Resolution is the process of enhancing the quality of an image by increasing the pixel count using deep learning. diff --git a/notebooks/204-segmenter-semantic-segmentation/204-segmenter-semantic-segmentation.ipynb b/notebooks/204-segmenter-semantic-segmentation/204-segmenter-semantic-segmentation.ipynb index 1eac06683ce..cdff007a4e7 100644 --- a/notebooks/204-segmenter-semantic-segmentation/204-segmenter-semantic-segmentation.ipynb +++ b/notebooks/204-segmenter-semantic-segmentation/204-segmenter-semantic-segmentation.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -24,6 +25,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -39,6 +41,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -50,6 +53,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -58,7 +62,18 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Installing requirements\n", + "!pip install -q \"openvino-dev>=2023.0.0\"\n", + "!pip install -q timm \"mmsegmentation==0.30.0\" einops \"mmcv==1.7.1\" \"timm == 0.4.12\" onnx " + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -68,11 +83,17 @@ "import numpy as np\n", "import yaml\n", "\n", - "sys.path.append(\"../utils\")\n", - "from notebook_utils import download_file" + "# Fetch the notebook utils script from the openvino_notebooks repo\n", + "import urllib.request\n", + "urllib.request.urlretrieve(\n", + " url='https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/utils/notebook_utils.py',\n", + " filename='notebook_utils.py'\n", + ")\n", + "from notebook_utils import download_file, load_image" ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -80,15 +101,7 @@ ] }, { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "!pip install timm \"mmsegmentation==0.30.0\" einops \"mmcv==1.7.1\" \"timm == 0.4.12\" -q" - ] - }, - { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -97,7 +110,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -121,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -150,6 +163,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -167,9 +181,8 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false } @@ -193,6 +206,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -201,24 +215,13 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'\n", - "/home/ea/work/notebooks_convert/notebooks_conv_env/lib/python3.8/site-packages/mmcv/__init__.py:20: UserWarning: On January 1, 2023, MMCV will release v2.0.0, in which it will remove components related to the training process and add a data transformation module. In addition, it will rename the package names mmcv to mmcv-lite and mmcv-full to mmcv. See https://github.com/open-mmlab/mmcv/blob/master/docs/en/compatibility.md for more details.\n", - " warnings.warn(\n" - ] - } - ], + "outputs": [], "source": [ "from segmenter.segm.data.utils import STATS\n", "# load normalization name, in our case \"vit\" since we are using transformer\n", @@ -228,6 +231,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -250,7 +254,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -279,6 +283,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -295,9 +300,8 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false } @@ -333,6 +337,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -343,14 +348,16 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from segmenter.segm.model.utils import inference\n", "\n", "# load image with PIL\n", - "pil_image = Image.open(\"../data/image/coco_hollywood.jpg\")\n", + "image = load_image(\"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco_hollywood.jpg\")\n", + "# load_image reads the image in BGR format, [:,:,::-1] reshape transfroms it to RGB\n", + "pil_image = Image.fromarray(image[:,:,::-1])\n", "\n", "# preprocess image with normalization params loaded in previous steps\n", "image = preprocess(pil_image, normalization)\n", @@ -368,6 +375,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -376,7 +384,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -400,6 +408,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -408,6 +417,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -429,12 +439,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false - } + }, + "scrolled": false }, "outputs": [ { @@ -487,6 +497,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -499,9 +510,8 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false } @@ -517,6 +527,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -530,9 +541,8 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false } @@ -596,6 +606,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -604,9 +615,8 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false } @@ -619,9 +629,8 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false } @@ -640,9 +649,8 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false } @@ -669,6 +677,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -676,6 +685,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -690,9 +700,8 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false }, @@ -790,7 +799,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" } }, "nbformat": 4, diff --git a/notebooks/204-segmenter-semantic-segmentation/README.md b/notebooks/204-segmenter-semantic-segmentation/README.md index bb9bbb18266..3c81905ec84 100644 --- a/notebooks/204-segmenter-semantic-segmentation/README.md +++ b/notebooks/204-segmenter-semantic-segmentation/README.md @@ -1,5 +1,7 @@ # Semantic Segmentation with OpenVINO™ using Segmenter +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/204-segmenter-semantic-segmentation/204-segmenter-semantic-segmentation.ipynb) + This notebook demonstrates how to convert and use [Segmenter](https://github.com/rstrudel/segmenter) PyTorch model with OpenVINO. @@ -33,5 +35,6 @@ The tutorial consists of the following steps: ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). -All additional required libraries will be installed inside this notebook. \ No newline at end of file +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). diff --git a/notebooks/205-vision-background-removal/205-vision-background-removal.ipynb b/notebooks/205-vision-background-removal/205-vision-background-removal.ipynb index 954f35bb055..5d9f5ce483b 100644 --- a/notebooks/205-vision-background-removal/205-vision-background-removal.ipynb +++ b/notebooks/205-vision-background-removal/205-vision-background-removal.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "93aa099e", "metadata": {}, @@ -15,6 +16,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "e57b48f0", "metadata": { @@ -23,24 +25,35 @@ ] }, "source": [ - "## Prepare\n", + "## Preparation\n", "\n", - "### Import the PyTorch Library and U$^2$-Net" + "### Install requirements" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "513b6331", "metadata": {}, "outputs": [], "source": [ + "!pip install -q \"openvino-dev>=2023.0.0\"\n", + "!pip install -q torch onnx opencv-python matplotlib\n", "!pip install -q gdown" ] }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "0e89b0bd", + "metadata": {}, + "source": [ + "### Import the PyTorch Library and U$^2$-Net" + ] + }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "8124fd11", "metadata": { "id": "2ynWRum4iiTz" @@ -49,6 +62,7 @@ "source": [ "import os\n", "import time\n", + "import sys\n", "from collections import namedtuple\n", "from pathlib import Path\n", "\n", @@ -57,12 +71,36 @@ "import numpy as np\n", "import torch\n", "from IPython.display import HTML, FileLink, display\n", - "from model.u2net import U2NET, U2NETP\n", "from openvino.runtime import Core\n", "from openvino.tools import mo" ] }, { + "cell_type": "code", + "execution_count": null, + "id": "57edabfb", + "metadata": {}, + "outputs": [], + "source": [ + "# Import local modules\n", + "\n", + "utils_file_path = Path(\"../utils/notebook_utils.py\")\n", + "notebook_directory_path = Path(\".\")\n", + "\n", + "if not utils_file_path.exists():\n", + " !git clone --depth 1 https://github.com/openvinotoolkit/openvino_notebooks.git\n", + " utils_file_path = Path(\"./openvino_notebooks/notebooks/utils/notebook_utils.py\")\n", + " notebook_directory_path = Path(\"./openvino_notebooks/notebooks/205-vision-background-removal/\")\n", + "\n", + "sys.path.append(str(utils_file_path.parent))\n", + "sys.path.append(str(notebook_directory_path))\n", + "\n", + "from notebook_utils import load_image\n", + "from model.u2net import U2NET, U2NETP" + ] + }, + { + "attachments": {}, "cell_type": "markdown", "id": "0bae3e45", "metadata": { @@ -78,12 +116,11 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "7e9c87b8", "metadata": {}, "outputs": [], "source": [ - "IMAGE_DIR = \"../data/image/\"\n", "model_config = namedtuple(\"ModelConfig\", [\"name\", \"url\", \"model\", \"model_args\"])\n", "\n", "u2net_lite = model_config(\n", @@ -111,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "7799f33c", "metadata": { "tags": [ @@ -127,6 +164,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "8522caea", "metadata": { @@ -143,7 +181,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "0eae9467", "metadata": { "tags": [ @@ -164,7 +202,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "6f0fb802", "metadata": { "tags": [ @@ -209,6 +247,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "45d55f18", "metadata": { @@ -222,6 +261,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "960b0c2f", "metadata": { @@ -242,7 +282,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "1ba3a505", "metadata": {}, "outputs": [], @@ -256,6 +296,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "43ed7603", "metadata": { @@ -272,7 +313,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "1a86e7fd", "metadata": { "colab": { @@ -286,9 +327,9 @@ }, "outputs": [], "source": [ - "IMAGE_PATH = Path(IMAGE_DIR) / \"coco_hollywood.jpg\"\n", + "IMAGE_URI = \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco_hollywood.jpg\"\n", "image = cv2.cvtColor(\n", - " src=cv2.imread(filename=str(IMAGE_PATH)),\n", + " src=load_image(IMAGE_URI),\n", " code=cv2.COLOR_BGR2RGB,\n", ")\n", "\n", @@ -299,6 +340,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "ae10f73a", "metadata": { @@ -315,7 +357,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "a6cff378", "metadata": { "id": "otfT6EDk03KV", @@ -351,6 +393,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "a4b7f850", "metadata": { @@ -366,7 +409,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "82f22737", "metadata": { "tags": [ @@ -406,6 +449,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "8c29ee84", "metadata": { @@ -426,7 +470,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "f5628a0c", "metadata": { "tags": [ @@ -458,12 +502,12 @@ } ], "source": [ - "BACKGROUND_FILE = f\"{IMAGE_DIR}/wall.jpg\"\n", + "BACKGROUND_FILE = \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/wall.jpg\"\n", "OUTPUT_DIR = \"output\"\n", "\n", "os.makedirs(name=OUTPUT_DIR, exist_ok=True)\n", "\n", - "background_image = cv2.cvtColor(src=cv2.imread(filename=BACKGROUND_FILE), code=cv2.COLOR_BGR2RGB)\n", + "background_image = cv2.cvtColor(src=load_image(BACKGROUND_FILE), code=cv2.COLOR_BGR2RGB)\n", "background_image = cv2.resize(src=background_image, dsize=(image.shape[1], image.shape[0]))\n", "\n", "# Set all the foreground pixels from the result to 0\n", @@ -472,7 +516,7 @@ "new_image = background_image + bg_removed_result\n", "\n", "# Save the generated image.\n", - "new_image_path = Path(f\"{OUTPUT_DIR}/{IMAGE_PATH.stem}-{Path(BACKGROUND_FILE).stem}.jpg\")\n", + "new_image_path = Path(f\"{OUTPUT_DIR}/{Path(IMAGE_URI).stem}-{Path(BACKGROUND_FILE).stem}.jpg\")\n", "cv2.imwrite(filename=str(new_image_path), img=cv2.cvtColor(new_image, cv2.COLOR_RGB2BGR))\n", "\n", "# Display the original image and the image with the new background side by side\n", @@ -497,6 +541,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "b11acf85", "metadata": { @@ -533,7 +578,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" } }, "nbformat": 4, diff --git a/notebooks/205-vision-background-removal/README.md b/notebooks/205-vision-background-removal/README.md index 276bd4643d4..6f986eaf293 100644 --- a/notebooks/205-vision-background-removal/README.md +++ b/notebooks/205-vision-background-removal/README.md @@ -1,6 +1,7 @@ # Background Removal Demo [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F205-vision-background-removal%2F205-vision-background-removal.ipynb) +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/205-vision-background-removal/205-vision-background-removal.ipynb) This demo notebook shows image segmentation and removing/adding background with [U^2-Net](https://github.com/xuebinqin/U-2-Net) and OpenVINO™. @@ -30,4 +31,6 @@ year = {2020} ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). diff --git a/notebooks/206-vision-paddlegan-anime/206-vision-paddlegan-anime.ipynb b/notebooks/206-vision-paddlegan-anime/206-vision-paddlegan-anime.ipynb index 53cbf4d39f1..3d22bd22c94 100644 --- a/notebooks/206-vision-paddlegan-anime/206-vision-paddlegan-anime.ipynb +++ b/notebooks/206-vision-paddlegan-anime/206-vision-paddlegan-anime.ipynb @@ -16,31 +16,38 @@ }, { "cell_type": "markdown", - "id": "96e1f503", + "id": "9a3d38f1", "metadata": {}, "source": [ - "### Imports" + "## Preparation\n", + "\n", + "### Install requirements" ] }, { "cell_type": "code", "execution_count": null, - "id": "06999b57", - "metadata": {}, + "id": "b6bcf442-f6c9-467f-bfcf-cd3111772cbf", + "metadata": { + "scrolled": true + }, "outputs": [], "source": [ - "!pip install -q \"paddlepaddle==2.5.0rc0\" \"paddle2onnx>=0.6\"" + "!pip install -q \"openvino-dev>=2023.0.0\"\n", + "\n", + "!pip install -q \"paddlepaddle==2.5.0rc0\" \"paddle2onnx>=0.6\"\n", + "!pip install -q \"git+https://github.com/PaddlePaddle/PaddleGAN.git\" --no-deps\n", + "\n", + "!pip install -q opencv-python matplotlib scikit-learn scikit-image\n", + "!pip install -q \"imageio==2.9.0\" \"imageio-ffmpeg\" \"numba>=0.53.1\" easydict munch natsort" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "b6bcf442-f6c9-467f-bfcf-cd3111772cbf", + "cell_type": "markdown", + "id": "96e1f503", "metadata": {}, - "outputs": [], "source": [ - "!pip install -q \"imageio==2.9.0\" \"imageio-ffmpeg\" \"numba>=0.53.1\" \"easydict\" \"munch\" \"natsort\"\n", - "!pip install -q \"git+https://github.com/PaddlePaddle/PaddleGAN.git\" --no-deps" + "### Imports" ] }, { @@ -54,6 +61,7 @@ "import time\n", "import os\n", "from pathlib import Path\n", + "import urllib.request\n", "\n", "import cv2\n", "import matplotlib.pyplot as plt\n", @@ -204,7 +212,13 @@ "\n", "os.makedirs(OUTPUT_DIR, exist_ok=True)\n", "# Step 1. Load the image and convert to RGB.\n", - "image_path = Path(\"../data/image/coco_bricks.png\")\n", + "image_path = Path(\"./data/coco_bricks.png\")\n", + "# fetch the image from the web\n", + "image_path.parent.mkdir(parents=True, exist_ok=True)\n", + "urllib.request.urlretrieve(\n", + " \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco_bricks.png\",\n", + " image_path\n", + ")\n", "\n", "image = cv2.cvtColor(cv2.imread(str(image_path), flags=cv2.IMREAD_COLOR), cv2.COLOR_BGR2RGB)\n", "\n", @@ -299,7 +313,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "d6e3b045", "metadata": {}, @@ -356,7 +369,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "63ecd375", "metadata": {}, @@ -502,7 +514,7 @@ "outputs": [], "source": [ "# Step 1. Load an image and convert it to RGB.\n", - "image_path = Path(\"../data/image/coco_bricks.png\")\n", + "image_path = Path(\"./data/coco_bricks.png\")\n", "image = cv2.cvtColor(cv2.imread(str(image_path), flags=cv2.IMREAD_COLOR), cv2.COLOR_BGR2RGB)\n", "\n", "# Step 2. Transform the image (only resize and transpose are still required).\n", @@ -649,7 +661,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.8.10 ('notebooks_env')", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -663,7 +675,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" }, "vscode": { "interpreter": { diff --git a/notebooks/206-vision-paddlegan-anime/README.md b/notebooks/206-vision-paddlegan-anime/README.md index 719cc2cbe38..521186f2cbd 100644 --- a/notebooks/206-vision-paddlegan-anime/README.md +++ b/notebooks/206-vision-paddlegan-anime/README.md @@ -1,4 +1,5 @@ # Photo to Anime with PaddleGAN Tutorial +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/206-vision-paddlegan-anime/206-vision-paddlegan-anime.ipynb) ![anime coco](https://user-images.githubusercontent.com/15709723/123559130-04550100-d74f-11eb-819c-a02284654428.jpg) @@ -10,4 +11,6 @@ This notebook uses the AnimeGAN model provided by [PaddlePaddle](https://www.pad ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). diff --git a/notebooks/223-text-prediction/223-text-prediction.ipynb b/notebooks/223-text-prediction/223-text-prediction.ipynb index f980c1b2712..a57c918f6af 100644 --- a/notebooks/223-text-prediction/223-text-prediction.ipynb +++ b/notebooks/223-text-prediction/223-text-prediction.ipynb @@ -53,30 +53,14 @@ "# Install Gradio for Interactive Inference and other requirements\n", "!pip install -q 'openvino-dev>=2023.0.0'\n", "!pip install -q gradio\n", - "!pip install -q transformers onnx" + "!pip install -q transformers[torch] onnx" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e2b3c5f982d04d299041dd30a571698d", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "VBox(children=(Select(description='Select Model:', index=1, options=('GPT-2', 'GPT-Neo', 'PersonaGPT (Converas…" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "from gradio import Blocks, Chatbot, Textbox, Row, Column\n", "import ipywidgets as widgets\n", @@ -103,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -137,7 +121,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -187,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -234,7 +218,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -267,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -286,7 +270,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -310,7 +294,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -343,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -380,7 +364,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -439,7 +423,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -494,7 +478,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -547,7 +531,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -583,25 +567,9 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b0de0131aebc4f6fb32f6fb329395c3a", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "VBox(children=(Select(description='Inference Style:', options=('Plain', 'Interactive'), value='Plain'),))" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "style = {'description_width': 'initial'}\n", "interactive_mode = widgets.Select(\n", @@ -616,7 +584,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -698,7 +666,7 @@ ], "metadata": { "kernelspec": { - "display_name": "deep", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -712,7 +680,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.15" + "version": "3.10.6" }, "vscode": { "interpreter": { diff --git a/notebooks/401-object-detection-webcam/401-object-detection.ipynb b/notebooks/401-object-detection-webcam/401-object-detection.ipynb index ee8896d1e1e..c316d3bec1a 100644 --- a/notebooks/401-object-detection-webcam/401-object-detection.ipynb +++ b/notebooks/401-object-detection-webcam/401-object-detection.ipynb @@ -15,7 +15,34 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Imports" + "## Preparation\n", + "\n", + "### Install requirements" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install -q \"openvino-dev>=2023.0.0\"\n", + "!pip install -q tensorflow\n", + "!pip install -q opencv-python requests tqdm\n", + "\n", + "# Fetch `notebook_utils` module\n", + "import urllib.request\n", + "urllib.request.urlretrieve(\n", + " url='https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/utils/notebook_utils.py',\n", + " filename='notebook_utils.py'\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Imports" ] }, { @@ -25,7 +52,6 @@ "outputs": [], "source": [ "import collections\n", - "import sys\n", "import tarfile\n", "import time\n", "from pathlib import Path\n", @@ -37,7 +63,6 @@ "from openvino.tools.mo.front import tf as ov_tf_front\n", "from openvino.tools import mo\n", "\n", - "sys.path.append(\"../utils\")\n", "import notebook_utils as utils" ] }, @@ -94,7 +119,6 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false, "jupyter": { "outputs_hidden": false } @@ -417,15 +441,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": { "test_replace": { "use_popup=False": "use_popup=False, skip_first_frames=280" } }, - "outputs": [], + "outputs": [ + { + "data": { + 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Source ended\n" + ] + } + ], "source": [ - "video_file = \"../data/video/Coco Walking in Berkeley.mp4\"\n", + "video_file = \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/video/Coco%20Walking%20in%20Berkeley.mp4\"\n", "\n", "run_object_detection(source=video_file, flip=False, use_popup=False)" ] @@ -458,7 +500,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" } }, "nbformat": 4, diff --git a/notebooks/401-object-detection-webcam/README.md b/notebooks/401-object-detection-webcam/README.md index 0855b070707..2d056c3fd40 100644 --- a/notebooks/401-object-detection-webcam/README.md +++ b/notebooks/401-object-detection-webcam/README.md @@ -1,6 +1,7 @@ # Live Object Detection with OpenVINO™ [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F401-object-detection-webcam%2F401-object-detection.ipynb) +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/401-object-detection-webcam/401-object-detection.ipynb) *Binder is a free service where the webcam will not work, and performance on the video will not be good. For the best performance, install the notebooks locally.* @@ -18,4 +19,6 @@ This notebook demonstrates object detection with OpenVINO, using the [SSDLite Mo ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). diff --git a/notebooks/404-style-transfer-webcam/404-style-transfer.ipynb b/notebooks/404-style-transfer-webcam/404-style-transfer.ipynb index ee56b8de8ab..91cc81811a2 100644 --- a/notebooks/404-style-transfer-webcam/404-style-transfer.ipynb +++ b/notebooks/404-style-transfer-webcam/404-style-transfer.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -16,15 +17,43 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "## Imports" + "## Preparation\n", + "\n", + "### Install requirements" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install -q \"openvino-dev>=2023.0.0\"\n", + "!pip install -q opencv-python requests tqdm\n", + "\n", + "# Fetch `notebook_utils` module\n", + "import urllib.request\n", + "urllib.request.urlretrieve(\n", + " url='https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/utils/notebook_utils.py',\n", + " filename='notebook_utils.py'\n", + ")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Imports" + ] + }, + { + "cell_type": "code", + "execution_count": null, "metadata": { "pycharm": { "name": "#%%\n" @@ -34,7 +63,6 @@ "outputs": [], "source": [ "import collections\n", - "import sys\n", "import time\n", "\n", "import cv2\n", @@ -44,11 +72,11 @@ "from ipywidgets import interactive, ToggleButtons\n", "from openvino.runtime import Core\n", "\n", - "sys.path.append(\"../utils\")\n", "import notebook_utils as utils" ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -57,27 +85,11 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "47c3b0c7f7fa41a88e1339934bf36ef2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(ToggleButtons(description='Click one of the styles you want to use for the style transfe…" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Option to select different styles \n", "styleButtons = ToggleButtons(\n", @@ -90,6 +102,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -102,36 +115,11 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ab40a3570ad5438388ecfea02a213c2b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "model/mosaic-9.onnx: 0%| | 0.00/6.42M [00:00 +We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). ## See Also diff --git a/notebooks/405-paddle-ocr-webcam/405-paddle-ocr-webcam.ipynb b/notebooks/405-paddle-ocr-webcam/405-paddle-ocr-webcam.ipynb index 031f154c434..a9ed9ceed42 100644 --- a/notebooks/405-paddle-ocr-webcam/405-paddle-ocr-webcam.ipynb +++ b/notebooks/405-paddle-ocr-webcam/405-paddle-ocr-webcam.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "ba0d9296-7fa6-4025-aedf-d2a19b05ff0d", "metadata": {}, @@ -16,16 +17,6 @@ "> **NOTE**: To use this notebook with a webcam, you need to run the notebook on a computer with a webcam. If you run the notebook on a server, the webcam will not work. You can still do inference on a video file.\n" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "c1665615", - "metadata": {}, - "outputs": [], - "source": [ - "!pip install -q \"paddlepaddle==2.5.0rc0\"" - ] - }, { "cell_type": "code", "execution_count": null, @@ -33,10 +24,13 @@ "metadata": {}, "outputs": [], "source": [ - "!pip install -q \"pyclipper>=1.2.1\" \"shapely>=1.7.1\"" + "!pip install -q 'openvino-dev>=2023.0.0'\n", + "!pip install -q 'paddlepaddle==2.5.0rc0'\n", + "!pip install -q 'pyclipper>=1.2.1' 'shapely>=1.7.1'" ] }, { + "attachments": {}, "cell_type": "markdown", "id": "0e5a53f7-e1c5-4aca-879f-da2dd081b989", "metadata": { @@ -53,7 +47,6 @@ "metadata": {}, "outputs": [], "source": [ - "import os\n", "import sys\n", "import cv2\n", "import numpy as np\n", @@ -64,18 +57,38 @@ "from PIL import Image\n", "from pathlib import Path\n", "import tarfile\n", - "import requests\n", "\n", "from openvino.runtime import Core\n", "from IPython import display\n", - "import copy\n", + "import copy" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4b54398c", + "metadata": {}, + "outputs": [], + "source": [ + "# Import local modules\n", + "\n", + "utils_file_path = Path('../utils/notebook_utils.py')\n", + "notebook_directory_path = Path('.')\n", + "\n", + "if not utils_file_path.exists():\n", + " !git clone --depth 1 https://github.com/igor-davidyuk/openvino_notebooks.git -b moving_data_to_cloud openvino_notebooks\n", + " utils_file_path = Path('./openvino_notebooks/notebooks/utils/notebook_utils.py')\n", + " notebook_directory_path = Path('./openvino_notebooks/notebooks/405-paddle-ocr-webcam/')\n", + "\n", + "sys.path.append(str(utils_file_path.parent))\n", + "sys.path.append(str(notebook_directory_path))\n", "\n", - "sys.path.append(\"../utils\")\n", "import notebook_utils as utils\n", "import pre_post_processing as processing" ] }, { + "attachments": {}, "cell_type": "markdown", "id": "ee4ea41d-18a8-4914-b367-d5717111d8e8", "metadata": {}, @@ -96,7 +109,7 @@ "source": [ "# Define the function to download text detection and recognition models from PaddleOCR resources.\n", "\n", - "def run_model_download(model_url, model_file_path):\n", + "def run_model_download(model_url: str, model_file_path: Path) -> None:\n", " \"\"\"\n", " Download pre-trained models from PaddleOCR resources\n", "\n", @@ -104,8 +117,7 @@ " model_url: url link to pre-trained models\n", " model_file_path: file path to store the downloaded model\n", " \"\"\"\n", - " model_name = model_url.split(\"/\")[-1]\n", - " \n", + " archive_path = model_file_path.absolute().parent.parent / model_url.split(\"/\")[-1]\n", " if model_file_path.is_file(): \n", " print(\"Model already exists\")\n", " else:\n", @@ -113,14 +125,12 @@ " print(\"Downloading the pre-trained model... May take a while...\")\n", "\n", " # Create a directory.\n", - " os.makedirs(\"model\", exist_ok=True)\n", - " response = requests.get(model_url)\n", - " with open(f\"model/{model_name}\", \"wb\") as model_tar_file:\n", - " model_tar_file.write(response.content)\n", + " utils.download_file(model_url, archive_path.name, archive_path.parent)\n", " print(\"Model Downloaded\")\n", "\n", - " file = tarfile.open(f\"model/{model_name}\")\n", - " res = file.extractall(\"model\")\n", + "\n", + " file = tarfile.open(archive_path)\n", + " res = file.extractall(archive_path.parent)\n", " file.close()\n", " if not res:\n", " print(f\"Model Extracted to {model_file_path}.\")\n", @@ -129,6 +139,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "e541150c-0f98-41c6-a97c-97acb26efd2f", "metadata": {}, @@ -152,6 +163,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "2f454531-81f0-4468-9867-3f9de9775aaf", "metadata": {}, @@ -177,6 +189,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "5ec5c940-626c-4cf7-a90f-833200969846", "metadata": {}, @@ -198,6 +211,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "20155aeb-401a-4759-baee-dcb24a605ece", "metadata": {}, @@ -206,6 +220,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "927c2017-33af-4449-a7a4-10dfea86c110", "metadata": {}, @@ -240,6 +255,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "573a1a11-faec-41af-bf43-08b90d28cec3", "metadata": {}, @@ -248,6 +264,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "fb3befa4-1cf8-4ac2-a5a0-e0e73498d755", "metadata": {}, @@ -377,6 +394,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "5ee36029-eabd-4ffc-ab45-ac293b62f32b", "metadata": {}, @@ -427,6 +445,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "01d3695c-42c3-43d3-8472-9f16913182bf", "metadata": {}, @@ -435,6 +454,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "17ce8c76-3ea5-402c-b820-a403bf12cc05", "metadata": {}, @@ -447,6 +467,24 @@ "4. Visualize the results." ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "874b545f", + "metadata": {}, + "outputs": [], + "source": [ + "# Download font and a character dictionary for printing OCR results.\n", + "font_path = utils.download_file(\n", + " url='https://raw.githubusercontent.com/Halfish/lstm-ctc-ocr/master/fonts/simfang.ttf',\n", + " directory='fonts'\n", + ")\n", + "character_dictionary_path = utils.download_file(\n", + " url='https://raw.githubusercontent.com/WenmuZhou/PytorchOCR/master/torchocr/datasets/alphabets/ppocr_keys_v1.txt',\n", + " directory='fonts'\n", + ")" + ] + }, { "cell_type": "code", "execution_count": null, @@ -545,7 +583,9 @@ " boxes,\n", " txts,\n", " scores,\n", - " drop_score=0.5)\n", + " drop_score=0.5,\n", + " font_path=str(font_path)\n", + " )\n", "\n", " # Visualize the PaddleOCR results.\n", " f_height, f_width = draw_img.shape[:2]\n", @@ -588,6 +628,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "92f8855f-418a-4bda-8799-0953dda895c5", "metadata": {}, @@ -596,6 +637,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "7642697d-d000-4a10-8e7b-2a519cf9e687", "metadata": {}, @@ -618,6 +660,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "5e9c2356-16e2-4ec9-a41e-ae7d03a25b5e", "metadata": {}, @@ -641,7 +684,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.8.10 ('notebooks_env')", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -655,7 +698,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" }, "vscode": { "interpreter": { diff --git a/notebooks/405-paddle-ocr-webcam/README.md b/notebooks/405-paddle-ocr-webcam/README.md index fef797bae68..00c7aef6e0b 100644 --- a/notebooks/405-paddle-ocr-webcam/README.md +++ b/notebooks/405-paddle-ocr-webcam/README.md @@ -1,5 +1,6 @@ # PaddleOCR with OpenVINO™ [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F405-paddle-ocr-webcam%2F405-paddle-ocr-webcam.ipynb) +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/405-paddle-ocr-webcam/405-paddle-ocr-webcam.ipynb)

@@ -25,4 +26,6 @@ For more information about the other PaddleOCR pre-trained models, refer to the ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). diff --git a/notebooks/405-paddle-ocr-webcam/pre_post_processing.py b/notebooks/405-paddle-ocr-webcam/pre_post_processing.py index e17a9f14a2e..ed7d80986bd 100644 --- a/notebooks/405-paddle-ocr-webcam/pre_post_processing.py +++ b/notebooks/405-paddle-ocr-webcam/pre_post_processing.py @@ -114,10 +114,10 @@ def box_score_fast(bitmap, _box): ''' h, w = bitmap.shape[:2] box = _box.copy() - xmin = np.clip(np.floor(box[:, 0].min()).astype(np.int), 0, w - 1) - xmax = np.clip(np.ceil(box[:, 0].max()).astype(np.int), 0, w - 1) - ymin = np.clip(np.floor(box[:, 1].min()).astype(np.int), 0, h - 1) - ymax = np.clip(np.ceil(box[:, 1].max()).astype(np.int), 0, h - 1) + xmin = np.clip(np.floor(box[:, 0].min()).astype(np.int32), 0, w - 1) + xmax = np.clip(np.ceil(box[:, 0].max()).astype(np.int32), 0, w - 1) + ymin = np.clip(np.floor(box[:, 1].min()).astype(np.int32), 0, h - 1) + ymax = np.clip(np.ceil(box[:, 1].max()).astype(np.int32), 0, h - 1) mask = np.zeros((ymax - ymin + 1, xmax - xmin + 1), dtype=np.uint8) box[:, 0] = box[:, 0] - xmin @@ -289,7 +289,7 @@ def get_rotate_crop_image(img, points): postprocess_params = { 'name': 'CTCLabelDecode', "character_type": "ch", - "character_dict_path": "../data/text/ppocr_keys_v1.txt", + "character_dict_path": "./fonts/ppocr_keys_v1.txt", "use_space_char": True } @@ -417,7 +417,8 @@ def draw_ocr_box_txt(image, boxes, txts, scores=None, - drop_score=0.5): + drop_score=0.5, + font_path='./fonts/simfang.ttf'): h, w = image.height, image.width img_left = image.copy() img_right = Image.new('RGB', (w, h), (255, 255, 255)) @@ -443,7 +444,7 @@ def draw_ocr_box_txt(image, 1])**2) if box_height > 2 * box_width: font_size = max(int(box_width * 0.9), 10) - font = ImageFont.truetype('../data/font/simfang.ttf', font_size) + font = ImageFont.truetype(font_path, font_size) cur_y = box[0][1] for c in txt: char_size = font.getsize(c) @@ -452,7 +453,7 @@ def draw_ocr_box_txt(image, cur_y += char_size[1] else: font_size = max(int(box_height * 0.8), 10) - font = ImageFont.truetype('../data/font/simfang.ttf', font_size) + font = ImageFont.truetype(font_path, font_size) draw_right.text( [box[0][0], box[0][1]], txt, fill=(0, 0, 0), font=font) img_left = Image.blend(image, img_left, 0.5) diff --git a/notebooks/407-person-tracking-webcam/407-person-tracking.ipynb b/notebooks/407-person-tracking-webcam/407-person-tracking.ipynb index f69caca45e0..9cb7ca4dcf5 100644 --- a/notebooks/407-person-tracking-webcam/407-person-tracking.ipynb +++ b/notebooks/407-person-tracking-webcam/407-person-tracking.ipynb @@ -44,6 +44,17 @@ ] }, { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install -q 'openvino-dev>=2023.0.0'\n", + "!pip install -q opencv-python matplotlib requests scipy" + ] + }, + { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -57,6 +68,7 @@ "outputs": [], "source": [ "import collections\n", + "from pathlib import Path\n", "import sys\n", "import time\n", "\n", @@ -64,11 +76,29 @@ "import cv2\n", "from IPython import display\n", "import matplotlib.pyplot as plt\n", - "from openvino.runtime import Core\n", + "from openvino.runtime import Core" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Import local modules\n", "\n", - "sys.path.append(\"../utils\")\n", - "import notebook_utils as utils\n", + "utils_file_path = Path('../utils/notebook_utils.py')\n", + "notebook_directory_path = Path('.')\n", "\n", + "if not utils_file_path.exists():\n", + " !git clone --depth 1 https://github.com/igor-davidyuk/openvino_notebooks.git -b moving_data_to_cloud openvino_notebooks\n", + " utils_file_path = Path('./openvino_notebooks/notebooks/utils/notebook_utils.py')\n", + " notebook_directory_path = Path('./openvino_notebooks/notebooks/407-person-tracking-webcam/')\n", + "\n", + "sys.path.append(str(utils_file_path.parent))\n", + "sys.path.append(str(notebook_directory_path))\n", + "\n", + "import notebook_utils as utils\n", "from deepsort_utils.tracker import Tracker\n", "from deepsort_utils.nn_matching import NearestNeighborDistanceMetric\n", "from deepsort_utils.detection import Detection, compute_color_for_labels, xywh_to_xyxy, xywh_to_tlwh, tlwh_to_xyxy" @@ -299,7 +329,7 @@ " color = compute_color_for_labels(id)\n", " label = '{}{:d}'.format(\"\", id)\n", " t_size = cv2.getTextSize(label, cv2.FONT_HERSHEY_PLAIN, 2, 2)[0]\n", - " cv2.rectangle(img, (x1, y1), (x2, y2), color, 3)\n", + " cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)\n", " cv2.rectangle(\n", " img, (x1, y1), (x1 + t_size[0] + 3, y1 + t_size[1] + 4), color, -1)\n", " cv2.putText(\n", @@ -307,7 +337,7 @@ " label,\n", " (x1, y1 + t_size[1] + 4),\n", " cv2.FONT_HERSHEY_PLAIN,\n", - " 2,\n", + " 1.6,\n", " [255, 255, 255],\n", " 2\n", " )\n", @@ -335,6 +365,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -347,9 +378,10 @@ "metadata": {}, "outputs": [], "source": [ - "image1 = cv2.cvtColor(cv2.imread(\"../data/image/person_1_1.png\"), cv2.COLOR_BGR2RGB)\n", - "image2 = cv2.cvtColor(cv2.imread(\"../data/image/person_1_2.png\"), cv2.COLOR_BGR2RGB)\n", - "image3 = cv2.cvtColor(cv2.imread(\"../data/image/person_2_1.png\"), cv2.COLOR_BGR2RGB)\n", + "base_file_link = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/person_'\n", + "image_indices = ['1_1.png', '1_2.png', '2_1.png']\n", + "image_paths = [utils.download_file(base_file_link + image_index, directory='data') for image_index in image_indices]\n", + "image1, image2, image3 = [cv2.cvtColor(cv2.imread(str(image_path)), cv2.COLOR_BGR2RGB) for image_path in image_paths]\n", "\n", "# Define titles with images.\n", "data = {\"Person 1\": image1, \"Person 2\": image2, \"Person 3\": image3}\n", @@ -429,7 +461,7 @@ " try:\n", " # Create a video player to play with target fps.\n", " player = utils.VideoPlayer(\n", - " source=source, flip=flip, fps=30, skip_first_frames=skip_first_frames\n", + " source=source, size=(700, 450), flip=flip, fps=24, skip_first_frames=skip_first_frames\n", " )\n", " # Start capturing.\n", " player.start()\n", @@ -463,7 +495,7 @@ "\n", " _, f_width = frame.shape[:2]\n", " # Mean processing time [ms].\n", - " processing_time = np.mean(processing_times) * 1000\n", + " processing_time = np.mean(processing_times) * 1100\n", " fps = 1000 / processing_time\n", "\n", " # Get poses from detection results.\n", @@ -504,7 +536,7 @@ " box = track.to_tlwh()\n", " x1, y1, x2, y2 = tlwh_to_xyxy(box, h, w)\n", " track_id = track.track_id\n", - " outputs.append(np.array([x1, y1, x2, y2, track_id], dtype=np.int))\n", + " outputs.append(np.array([x1, y1, x2, y2, track_id], dtype=np.int32))\n", " if len(outputs) > 0:\n", " outputs = np.stack(outputs, axis=0)\n", "\n", @@ -588,6 +620,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -605,6 +638,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -619,7 +653,7 @@ "metadata": {}, "outputs": [], "source": [ - "video_file = \"../data/video/people.mp4\"\n", + "video_file = 'https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/video/people.mp4'\n", "run_person_tracking(source=video_file, flip=False, use_popup=False)" ] } diff --git a/notebooks/407-person-tracking-webcam/README.md b/notebooks/407-person-tracking-webcam/README.md index c28b45c534c..29522c18e39 100644 --- a/notebooks/407-person-tracking-webcam/README.md +++ b/notebooks/407-person-tracking-webcam/README.md @@ -1,6 +1,7 @@ # Live Person Tracking with OpenVINO™ [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F407-person-tracking-webcam%2F407-person-tracking.ipynb) +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/407-person-tracking-webcam/407-person-tracking.ipynb) *Binder is a free service where the webcam will not work, and performance on the video will not be good. For the best performance, install the notebooks locally.* @@ -17,7 +18,9 @@ This tutorial uses the [Deep SORT](https://arxiv.org/abs/1703.07402) algorithm t ## Installation Instructions -If you have not installed all required dependencies, follow the [Installation Guide](../../README.md). +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). ### See Also diff --git a/notebooks/407-person-tracking-webcam/deepsort_utils/detection.py b/notebooks/407-person-tracking-webcam/deepsort_utils/detection.py index ad9999656f8..85186140f90 100644 --- a/notebooks/407-person-tracking-webcam/deepsort_utils/detection.py +++ b/notebooks/407-person-tracking-webcam/deepsort_utils/detection.py @@ -28,7 +28,7 @@ class Detection(object): """ def __init__(self, tlwh, feature): - self.tlwh = np.asarray(tlwh, dtype=np.float) + self.tlwh = np.asarray(tlwh, dtype=np.float32) self.feature = np.asarray(feature, dtype=np.float32) def to_tlbr(self): diff --git a/notebooks/data/font/simfang.ttf b/notebooks/data/font/simfang.ttf deleted file mode 100644 index 2b59eae4195..00000000000 Binary files a/notebooks/data/font/simfang.ttf and /dev/null differ diff --git a/notebooks/data/image/coco_bricks.png b/notebooks/data/image/coco_bricks.png deleted file mode 100644 index c23ac349c06..00000000000 Binary files a/notebooks/data/image/coco_bricks.png and /dev/null differ diff --git a/notebooks/data/image/coco_square.jpg b/notebooks/data/image/coco_square.jpg deleted file mode 100644 index 763cacbc9d2..00000000000 Binary files a/notebooks/data/image/coco_square.jpg and /dev/null differ diff --git a/notebooks/data/image/person_1_1.png b/notebooks/data/image/person_1_1.png deleted file mode 100644 index bbb9718aff8..00000000000 Binary files a/notebooks/data/image/person_1_1.png and /dev/null differ diff --git a/notebooks/data/image/person_1_2.png b/notebooks/data/image/person_1_2.png deleted file mode 100644 index 6c1d58337e1..00000000000 Binary files a/notebooks/data/image/person_1_2.png and /dev/null differ diff --git a/notebooks/data/image/person_2_1.png b/notebooks/data/image/person_2_1.png deleted file mode 100644 index 3f91620ec1a..00000000000 Binary files a/notebooks/data/image/person_2_1.png and /dev/null differ diff --git a/notebooks/data/image/tower.jpg b/notebooks/data/image/tower.jpg deleted file mode 100644 index 0aabe700a55..00000000000 Binary files a/notebooks/data/image/tower.jpg and /dev/null differ diff --git a/notebooks/data/image/wall.jpg b/notebooks/data/image/wall.jpg deleted file mode 100644 index 0e828995e4d..00000000000 Binary files a/notebooks/data/image/wall.jpg and /dev/null differ diff --git a/notebooks/data/text/ppocr_keys_v1.txt b/notebooks/data/text/ppocr_keys_v1.txt deleted file mode 100644 index b75af213034..00000000000 --- a/notebooks/data/text/ppocr_keys_v1.txt +++ /dev/null @@ -1,6623 +0,0 @@ -' -疗 -绚 -诚 -娇 -溜 -题 -贿 -者 -廖 -更 -纳 -加 -奉 -公 -一 -就 -汴 -计 -与 -路 -房 -原 -妇 -2 -0 -8 -- -7 -其 -> -: -] -, -， -骑 -刈 -全 -消 -昏 -傈 -安 -久 -钟 -嗅 -不 -影 -处 -驽 -蜿 -资 -关 -椤 -地 -瘸 -专 -问 -忖 -票 -嫉 -炎 -韵 -要 -月 -田 -节 -陂 -鄙 -捌 -备 -拳 -伺 -眼 -网 -盎 -大 -傍 -心 -东 -愉 -汇 -蹿 -科 -每 -业 -里 -航 -晏 -字 -平 -录 -先 -1 -3 -彤 -鲶 -产 -稍 -督 -腴 -有 -象 -岳 -注 -绍 -在 -泺 -文 -定 -核 -名 -水 -过 -理 -让 -偷 -率 -等 -这 -发 -” -为 -含 -肥 -酉 -相 -鄱 -七 -编 -猥 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Walking in Berkeley.mp4 and /dev/null differ diff --git a/notebooks/data/video/Sheldon Cooper Jim Parsons at Intels Lab.mp4 b/notebooks/data/video/Sheldon Cooper Jim Parsons at Intels Lab.mp4 deleted file mode 100644 index f7892ef4e4b..00000000000 Binary files a/notebooks/data/video/Sheldon Cooper Jim Parsons at Intels Lab.mp4 and /dev/null differ diff --git a/notebooks/data/video/people.mp4 b/notebooks/data/video/people.mp4 deleted file mode 100644 index 287bd571e12..00000000000 Binary files a/notebooks/data/video/people.mp4 and /dev/null differ diff --git a/notebooks/utils/notebook_utils.ipynb b/notebooks/utils/notebook_utils.ipynb index 74eec4c81a5..2cec9fa121f 100644 --- a/notebooks/utils/notebook_utils.ipynb +++ b/notebooks/utils/notebook_utils.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "e0ae5969", "metadata": { @@ -26,6 +27,19 @@ ] }, { + "cell_type": "code", + "execution_count": 1, + "id": "79183025", + "metadata": {}, + "outputs": [], + "source": [ + "# Install requirements\n", + "!pip install -q \"openvino>=2023.0.0\" opencv-python\n", + "!pip install -q pillow tqdm requests matplotlib" + ] + }, + { + "attachments": {}, "cell_type": "markdown", "id": "9e8b4817", "metadata": {}, @@ -37,7 +51,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "id": "b6180e2b-171c-4a71-92c6-4c404a831d7c", "metadata": {}, "outputs": [], @@ -50,40 +64,41 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "8a99c45c-7649-4960-95dc-f2ea27f20950", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mload_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0mload_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Loads an image from `path` and returns it as BGR numpy array. `path`\u001b[0m\n", - "\u001b[0;34m should point to an image file, either a local filename or a url. The image is\u001b[0m\n", - "\u001b[0;34m not stored to the filesystem. Use the `download_file` function to download and\u001b[0m\n", - "\u001b[0;34m store an image.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param path: Local path name or URL to image.\u001b[0m\n", - "\u001b[0;34m :return: image as BGR numpy array\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstartswith\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"http\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# Set User-Agent to Mozilla because some websites block\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# requests with User-Agent Python\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"User-Agent\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"Mozilla/5.0\"\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0marray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytearray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"uint8\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mimage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# Loads the image as BGR\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mimage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mload_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0mload_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Loads an image from `path` and returns it as BGR numpy array. `path`\u001b[0m\n", + "\u001b[0;34m should point to an image file, either a local filename or a url. The image is\u001b[0m\n", + "\u001b[0;34m not stored to the filesystem. Use the `download_file` function to download and\u001b[0m\n", + "\u001b[0;34m store an image.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param path: Local path name or URL to image.\u001b[0m\n", + "\u001b[0;34m :return: image as BGR numpy array\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstartswith\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"http\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# Set User-Agent to Mozilla because some websites block\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# requests with User-Agent Python\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"User-Agent\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"Mozilla/5.0\"\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0marray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytearray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"uint8\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mimage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# Loads the image as BGR\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mimage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -92,108 +107,109 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "20f972d9-3b8c-4536-944a-62457c07c988", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m\n", - "\u001b[0mdownload_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mshow_progress\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0msilent\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0mdownload_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mPathLike\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mshow_progress\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0msilent\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Download a file from a url and save it to the local filesystem. The file is saved to the\u001b[0m\n", - "\u001b[0;34m current directory by default, or to `directory` if specified. If a filename is not given,\u001b[0m\n", - "\u001b[0;34m the filename of the URL will be used.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param url: URL that points to the file to download\u001b[0m\n", - "\u001b[0;34m :param filename: Name of the local file to save. Should point to the name of the file only,\u001b[0m\n", - "\u001b[0;34m not the full path. If None the filename from the url will be used\u001b[0m\n", - "\u001b[0;34m :param directory: Directory to save the file to. Will be created if it doesn't exist\u001b[0m\n", - "\u001b[0;34m If None the file will be saved to the current working directory\u001b[0m\n", - "\u001b[0;34m :param show_progress: If True, show an TQDM ProgressBar\u001b[0m\n", - "\u001b[0;34m :param silent: If True, do not print a message if the file already exists\u001b[0m\n", - "\u001b[0;34m :param timeout: Number of seconds before cancelling the connection attempt\u001b[0m\n", - "\u001b[0;34m :return: path to downloaded file\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murlparse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mchunk_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m16384\u001b[0m \u001b[0;31m# make chunks bigger so that not too many updates are triggered for Jupyter front-end\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparts\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"`filename` should refer to the name of the file, excluding the directory. \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"Use the `directory` parameter to specify a target directory for the downloaded file.\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# create the directory if it does not exist, and add the directory to the filename\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdirectory\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdirectory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdirectory\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparents\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdirectory\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"User-agent\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"Mozilla/5.0\"\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mstream\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_for_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHTTPError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# For error associated with not-200 codes. Will output something like: \"404 Client Error: Not Found for url: {url}\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"Connection timed out. If you access the internet through a proxy server, please \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"make sure the proxy is set in the shell from where you launched Jupyter.\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRequestException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"File downloading failed with error: {error}\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# download the file if it does not exist, or if it exists with an incorrect file size\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfilesize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Content-length\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mst_size\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mfilesize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mtqdm_notebook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mtotal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfilesize\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0munit\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"B\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0munit_scale\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0munit_divisor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1024\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdesc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdisable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mnot\u001b[0m \u001b[0mshow_progress\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mprogress_bar\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"wb\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfile_object\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mchunk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miter_content\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunk_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfile_object\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mprogress_bar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mprogress_bar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrefresh\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0msilent\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"'{filename}' already exists.\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m\n", + "\u001b[0mdownload_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mshow_progress\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0msilent\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0mdownload_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mPathLike\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mshow_progress\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0msilent\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mPathLike\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Download a file from a url and save it to the local filesystem. The file is saved to the\u001b[0m\n", + "\u001b[0;34m current directory by default, or to `directory` if specified. If a filename is not given,\u001b[0m\n", + "\u001b[0;34m the filename of the URL will be used.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param url: URL that points to the file to download\u001b[0m\n", + "\u001b[0;34m :param filename: Name of the local file to save. Should point to the name of the file only,\u001b[0m\n", + "\u001b[0;34m not the full path. If None the filename from the url will be used\u001b[0m\n", + "\u001b[0;34m :param directory: Directory to save the file to. Will be created if it doesn't exist\u001b[0m\n", + "\u001b[0;34m If None the file will be saved to the current working directory\u001b[0m\n", + "\u001b[0;34m :param show_progress: If True, show an TQDM ProgressBar\u001b[0m\n", + "\u001b[0;34m :param silent: If True, do not print a message if the file already exists\u001b[0m\n", + "\u001b[0;34m :param timeout: Number of seconds before cancelling the connection attempt\u001b[0m\n", + "\u001b[0;34m :return: path to downloaded file\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnotebook\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mtqdm_notebook\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murlparse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mchunk_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m16384\u001b[0m \u001b[0;31m# make chunks bigger so that not too many updates are triggered for Jupyter front-end\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparts\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"`filename` should refer to the name of the file, excluding the directory. \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"Use the `directory` parameter to specify a target directory for the downloaded file.\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# create the directory if it does not exist, and add the directory to the filename\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdirectory\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mdirectory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdirectory\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparents\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdirectory\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"User-agent\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"Mozilla/5.0\"\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mstream\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_for_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHTTPError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# For error associated with not-200 codes. Will output something like: \"404 Client Error: Not Found for url: {url}\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"Connection timed out. If you access the internet through a proxy server, please \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"make sure the proxy is set in the shell from where you launched Jupyter.\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRequestException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"File downloading failed with error: {error}\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# download the file if it does not exist, or if it exists with an incorrect file size\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mfilesize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Content-length\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mst_size\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mfilesize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mtqdm_notebook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mtotal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfilesize\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0munit\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"B\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0munit_scale\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0munit_divisor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1024\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mdesc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mdisable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mnot\u001b[0m \u001b[0mshow_progress\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mprogress_bar\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"wb\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfile_object\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mchunk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miter_content\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunk_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mfile_object\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mprogress_bar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mprogress_bar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrefresh\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0msilent\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"'{filename}' already exists.\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -202,39 +218,37 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "5c3422bc-55f5-42c4-802b-e049ca45300c", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m\n", - "\u001b[0mdownload_ir_model\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mmodel_xml_url\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdestination_folder\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0mdownload_ir_model\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_xml_url\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdestination_folder\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mPathLike\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Download IR model from `model_xml_url`. Downloads model xml and bin file; the weights file is\u001b[0m\n", - "\u001b[0;34m assumed to exist at the same location and name as model_xml_url with a \".bin\" extension.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param model_xml_url: URL to model xml file to download\u001b[0m\n", - "\u001b[0;34m :param destination_folder: Directory where downloaded model xml and bin are saved. If None, model\u001b[0m\n", - "\u001b[0;34m files are saved to the current directory\u001b[0m\n", - "\u001b[0;34m :return: path to downloaded xml model file\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mmodel_bin_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel_xml_url\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\".bin\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mmodel_xml_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdownload_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_xml_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdestination_folder\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshow_progress\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdownload_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_bin_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdestination_folder\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mmodel_xml_path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m\n", + "\u001b[0mdownload_ir_model\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mmodel_xml_url\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mdestination_folder\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPathLike\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0mdownload_ir_model\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_xml_url\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdestination_folder\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mPathLike\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mPathLike\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Download IR model from `model_xml_url`. Downloads model xml and bin file; the weights file is\u001b[0m\n", + "\u001b[0;34m assumed to exist at the same location and name as model_xml_url with a \".bin\" extension.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param model_xml_url: URL to model xml file to download\u001b[0m\n", + "\u001b[0;34m :param destination_folder: Directory where downloaded model xml and bin are saved. If None, model\u001b[0m\n", + "\u001b[0;34m files are saved to the current directory\u001b[0m\n", + "\u001b[0;34m :return: path to downloaded xml model file\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mmodel_bin_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel_xml_url\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\".bin\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mmodel_xml_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdownload_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_xml_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdestination_folder\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshow_progress\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mdownload_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel_bin_url\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdirectory\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdestination_folder\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mmodel_xml_path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -242,6 +256,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "407d4219", "metadata": { @@ -255,7 +270,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "fa1a0ee0", "metadata": { "tags": [ @@ -264,12 +279,18 @@ }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "'model/segmentation.xml' already exists.\n", - "'model/segmentation.bin' already exists.\n" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c48995f773344894bbc048f74fa669ad", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "model/segmentation.bin: 0%| | 0.00/1.09M [00:00" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "url = \"../data/image/coco.jpg\"\n", + "url = \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/image/coco.jpg\"\n", "image = load_image(url)\n", "Image.fromarray(image[:, :, ::-1])" ] }, { + "attachments": {}, "cell_type": "markdown", "id": "b6f5caa5", "metadata": {}, @@ -426,6 +397,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "9c45916c", "metadata": {}, @@ -437,7 +409,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "id": "0b1a2fc8-0c10-48b0-837b-469ef70958c7", "metadata": {}, "outputs": [], @@ -448,31 +420,29 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "4051c7ef", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mnormalize_minmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0mnormalize_minmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Normalizes the values in `data` between 0 and 1\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"Normalization is not possible because all elements of\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34mf\"`data` have the same value: {data.max()}.\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mnormalize_minmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0mnormalize_minmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Normalizes the values in `data` between 0 and 1\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"Normalization is not possible because all elements of\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34mf\"`data` have the same value: {data.max()}.\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -481,26 +451,25 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "id": "1b0c1c35-0246-4a28-a46c-e8890f2a5e22", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mto_bgr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0mto_bgr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Convert image_data from RGB to BGR\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOLOR_RGB2BGR\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mto_bgr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0mto_bgr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Convert image_data from RGB to BGR\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOLOR_RGB2BGR\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -509,26 +478,25 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "02863abc-c64d-4636-92b0-4fbeeb282507", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mto_rgb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0mto_rgb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Convert image_data from BGR to RGB\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOLOR_BGR2RGB\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mto_rgb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0mto_rgb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Convert image_data from BGR to RGB\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOLOR_BGR2RGB\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -536,6 +504,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "6a2ec41b", "metadata": { @@ -549,7 +518,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "b8ae28f4", "metadata": { "tags": [ @@ -567,7 +536,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "e2922a67", "metadata": { "tags": [ @@ -589,6 +558,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "8e27e37e", "metadata": {}, @@ -597,6 +567,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "b134d512", "metadata": {}, @@ -608,7 +579,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "id": "fd5a3145", "metadata": { "pycharm": { @@ -617,117 +588,120 @@ }, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mInit signature:\u001b[0m \u001b[0mVideoPlayer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflip\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskip_first_frames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mclass\u001b[0m \u001b[0mVideoPlayer\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Custom video player to fulfill FPS requirements. You can set target FPS and output size,\u001b[0m\n", - "\u001b[0;34m flip the video horizontally or skip first N frames.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param source: Video source. It could be either camera device or video file.\u001b[0m\n", - "\u001b[0;34m :param size: Output frame size.\u001b[0m\n", - "\u001b[0;34m :param flip: Flip source horizontally.\u001b[0m\n", - "\u001b[0;34m :param fps: Target FPS.\u001b[0m\n", - "\u001b[0;34m :param skip_first_frames: Skip first N frames.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msource\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflip\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskip_first_frames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mVideoCapture\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misOpened\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34mf\"Cannot open {'camera' if isinstance(source, int) else ''} {source}\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# skip first N frames\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCAP_PROP_POS_FRAMES\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskip_first_frames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# fps of input file\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCAP_PROP_FPS\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m60\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# target fps given by user\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__output_fps\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfps\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mfps\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__flip\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mflip\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__interpolation\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0msize\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# AREA better for shrinking, LINEAR better for enlarging\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__interpolation\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mINTER_AREA\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCAP_PROP_FRAME_WIDTH\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mINTER_LINEAR\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# first frame\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__lock\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mthreading\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLock\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__stop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Start playing.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__stop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mthreading\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mThread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtarget\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__run\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdaemon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Stop playing and release resources.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mstop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__stop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrelease\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mprev_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__stop\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mret\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mret\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# fulfill target fps\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__output_fps\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mprev_time\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mprev_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# replace by current frame\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__lock\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mframe\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mt2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# time to wait [s] to fulfill input fps\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mwait_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mt2\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# wait until\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwait_time\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Get current frame.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__lock\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;31m# need to copy frame, because can be cached and reused if fps is low\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__size\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minterpolation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__interpolation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__flip\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mframe\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m type\n", - "\u001b[0;31mSubclasses:\u001b[0m " - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mInit signature:\u001b[0m \u001b[0mVideoPlayer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflip\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskip_first_frames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mclass\u001b[0m \u001b[0mVideoPlayer\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Custom video player to fulfill FPS requirements. You can set target FPS and output size,\u001b[0m\n", + "\u001b[0;34m flip the video horizontally or skip first N frames.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param source: Video source. It could be either camera device or video file.\u001b[0m\n", + "\u001b[0;34m :param size: Output frame size.\u001b[0m\n", + "\u001b[0;34m :param flip: Flip source horizontally.\u001b[0m\n", + "\u001b[0;34m :param fps: Target FPS.\u001b[0m\n", + "\u001b[0;34m :param skip_first_frames: Skip first N frames.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msource\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflip\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfps\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskip_first_frames\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcv2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m \u001b[0;31m# This is done to access the package in class methods\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mVideoCapture\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misOpened\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34mf\"Cannot open {'camera' if isinstance(source, int) else ''} {source}\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# skip first N frames\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCAP_PROP_POS_FRAMES\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskip_first_frames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# fps of input file\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCAP_PROP_FPS\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m60\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# target fps given by user\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__output_fps\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfps\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mfps\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__flip\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mflip\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__interpolation\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0msize\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# AREA better for shrinking, LINEAR better for enlarging\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__interpolation\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mINTER_AREA\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCAP_PROP_FRAME_WIDTH\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mINTER_LINEAR\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# first frame\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__lock\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mthreading\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLock\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__stop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Start playing.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__stop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mthreading\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mThread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtarget\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__run\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdaemon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Stop playing and release resources.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mstop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__stop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__thread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrelease\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mprev_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__stop\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mt1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mret\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mret\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# fulfill target fps\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__output_fps\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mprev_time\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mprev_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# replace by current frame\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__lock\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mframe\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mt2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# time to wait [s] to fulfill input fps\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mwait_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__input_fps\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mt2\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mt1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# wait until\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwait_time\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Get current frame.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__lock\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;31m# need to copy frame, because can be cached and reused if fps is low\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__frame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__size\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minterpolation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__interpolation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__flip\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mframe\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m type\n", + "\u001b[0;31mSubclasses:\u001b[0m " + ] } ], "source": [ @@ -739,6 +713,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "8ab7b29e", "metadata": { @@ -752,7 +727,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "id": "e3b1fc3c", "metadata": { "tags": [ @@ -762,7 +737,7 @@ "outputs": [ { "data": { - "image/png": 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", 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"text/plain": [ "" ] @@ -779,7 +754,7 @@ } ], "source": [ - "video = \"../data/video/Coco Walking in Berkeley.mp4\"\n", + "video = \"https://storage.openvinotoolkit.org/repositories/openvino_notebooks/data/data/video/Coco%20Walking%20in%20Berkeley.mp4\"\n", "\n", "player = VideoPlayer(video, fps=15, skip_first_frames=10)\n", "player.start()\n", @@ -795,6 +770,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "b9c69891", "metadata": {}, @@ -803,6 +779,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "67182f4f", "metadata": {}, @@ -814,7 +791,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "id": "c8c64d62", "metadata": {}, "outputs": [], @@ -824,7 +801,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "id": "693bd276", "metadata": {}, "outputs": [ @@ -842,7 +819,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "id": "46e5e1a3-318b-411a-a69f-0e2588d2de66", "metadata": {}, "outputs": [ @@ -860,34 +837,32 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "id": "f6ce07cb-90fa-4ea1-ad31-00a19f5ececa", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mType:\u001b[0m SegmentationMap\n", - "\u001b[0;31mString form:\u001b[0m SegmentationMap(labels=[Label(index=0, color=(128, 64, 128), name='road'), Label(index=1, color=(244, 35, 232), name='sidewalk'), Label(index=2, color=(70, 70, 70), name='building'), Label(index=3, color=(102, 102, 156), name='wall'), Label(index=4, color=(190, 153, 153), name='fence'), Label(index=5, color=(153, 153, 153), name='pole'), Label(index=6, color=(250, 170, 30), name='traffic light'), Label(index=7, color=(220, 220, 0), name='traffic sign'), Label(index=8, color=(107, 142, 35), name='vegetation'), Label(index=9, color=(152, 251, 152), name='terrain'), Label(index=10, color=(70, 130, 180), name='sky'), Label(index=11, color=(220, 20, 60), name='person'), 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Label(index=1, color=(244, 35, 232), name='sidewalk'), Label(index=2, color=(70, 70, 70), name='building'), Label(index=3, color=(102, 102, 156), name='wall'), Label(index=4, color=(190, 153, 153), name='fence'), Label(index=5, color=(153, 153, 153), name='pole'), Label(index=6, color=(250, 170, 30), name='traffic light'), Label(index=7, color=(220, 220, 0), name='traffic sign'), Label(index=8, color=(107, 142, 35), name='vegetation'), Label(index=9, color=(152, 251, 152), name='terrain'), Label(index=10, color=(70, 130, 180), name='sky'), Label(index=11, color=(220, 20, 60), name='person'), Label(index=12, color=(255, 0, 0), name='rider'), Label(index=13, color=(0, 0, 142), name='car'), Label(index=14, color=(0, 0, 70), name='truck'), Label(index=15, color=(0, 60, 100), name='bus'), Label(index=16, color=(0, 80, 100), name='train'), Label(index=17, color=(0, 0, 230), name='motorcycle'), Label(index=18, color=(119, 11, 32), name='bicycle'), Label(index=19, color=(255, 255, 255), name='background')])\n", + "\u001b[0;31mLength:\u001b[0m 1\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mclass\u001b[0m \u001b[0mSegmentationMap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mNamedTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_colormap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolor\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlabel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_labels\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabelnames\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlabel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabelnames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mlabelnames\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m" + ] } ], "source": [ @@ -896,7 +871,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "id": "fad558a4-fdfb-49ef-a4f7-e981023272ca", "metadata": {}, "outputs": [ @@ -937,34 +912,32 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "id": "88fd01fc-a793-448d-8f72-dcd4a0f2084c", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mType:\u001b[0m SegmentationMap\n", - "\u001b[0;31mString form:\u001b[0m SegmentationMap(labels=[Label(index=0, color=(255, 255, 255), name='background'), Label(index=1, color=(0, 0, 0), name='foreground')])\n", - "\u001b[0;31mLength:\u001b[0m 1\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mclass\u001b[0m \u001b[0mSegmentationMap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mNamedTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_colormap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolor\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlabel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_labels\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlabelnames\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlabel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabelnames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mlabelnames\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mType:\u001b[0m SegmentationMap\n", + "\u001b[0;31mString form:\u001b[0m SegmentationMap(labels=[Label(index=0, color=(255, 255, 255), name='background'), Label(index=1, color=(0, 0, 0), name='foreground')])\n", + "\u001b[0;31mLength:\u001b[0m 1\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mclass\u001b[0m \u001b[0mSegmentationMap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mNamedTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_colormap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolor\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlabel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget_labels\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabelnames\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlabel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabelnames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mlabelnames\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m" + ] } ], "source": [ @@ -973,7 +946,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "id": "f1d83cff-5975-470a-a08b-47647bef0e95", "metadata": {}, "outputs": [ @@ -996,71 +969,70 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "id": "c2ef81db-8b4a-4fa3-9623-63542a52e0eb", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m\n", - "\u001b[0msegmentation_map_to_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mremove_holes\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0msegmentation_map_to_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mremove_holes\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Convert network result of floating point numbers to an RGB image with\u001b[0m\n", - "\u001b[0;34m integer values from 0-255 by applying a colormap.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param result: A single network result after converting to pixel values in H,W or 1,H,W shape.\u001b[0m\n", - "\u001b[0;34m :param colormap: A numpy array of shape (num_classes, 3) with an RGB value per class.\u001b[0m\n", - "\u001b[0;34m :param remove_holes: If True, remove holes in the segmentation result.\u001b[0m\n", - "\u001b[0;34m :return: An RGB image where each pixel is an int8 value according to colormap.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34mf\"Expected result with shape (H,W) or (1,H,W), got result with shape {result.shape}\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34mf\"Expected max {colormap[0]} classes in result, got {len(np.unique(result))} \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"different output values. Please make sure to convert the network output to \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"pixel values before calling this function.\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muint8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcontour_mode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRETR_EXTERNAL\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mremove_holes\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRETR_TREE\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mmask\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muint8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlabel_index\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlabel_index_map\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mlabel_index\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlabel_index_map\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlabel_index_map\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muint8\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m255\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcontours\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhierarchies\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfindContours\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlabel_index_map\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontour_mode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCHAIN_APPROX_SIMPLE\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrawContours\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcontours\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcontourIdx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mthickness\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFILLED\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m\n", + "\u001b[0msegmentation_map_to_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mremove_holes\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0msegmentation_map_to_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mremove_holes\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Convert network result of floating point numbers to an RGB image with\u001b[0m\n", + "\u001b[0;34m integer values from 0-255 by applying a colormap.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param result: A single network result after converting to pixel values in H,W or 1,H,W shape.\u001b[0m\n", + "\u001b[0;34m :param colormap: A numpy array of shape (num_classes, 3) with an RGB value per class.\u001b[0m\n", + "\u001b[0;34m :param remove_holes: If True, remove holes in the segmentation result.\u001b[0m\n", + "\u001b[0;34m :return: An RGB image where each pixel is an int8 value according to colormap.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34mf\"Expected result with shape (H,W) or (1,H,W), got result with shape {result.shape}\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34mf\"Expected max {colormap[0]} classes in result, got {len(np.unique(result))} \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"different output values. Please make sure to convert the network output to \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"pixel values before calling this function.\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muint8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcontour_mode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRETR_EXTERNAL\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mremove_holes\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRETR_TREE\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mmask\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muint8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mlabel_index\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabel_index_map\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mlabel_index\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabel_index_map\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlabel_index_map\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muint8\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m255\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcontours\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhierarchies\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfindContours\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabel_index_map\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontour_mode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCHAIN_APPROX_SIMPLE\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrawContours\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcontours\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcontourIdx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mthickness\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFILLED\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -1069,48 +1041,47 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "id": "0fa0b5dc", "metadata": { "tags": [] }, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m\n", - "\u001b[0msegmentation_map_to_overlay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mremove_holes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0msegmentation_map_to_overlay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mremove_holes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Returns a new image where a segmentation mask (created with colormap) is overlayed on\u001b[0m\n", - "\u001b[0;34m the source image.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param image: Source image.\u001b[0m\n", - "\u001b[0;34m :param result: A single network result after converting to pixel values in H,W or 1,H,W shape.\u001b[0m\n", - "\u001b[0;34m :param alpha: Alpha transparency value for the overlay image.\u001b[0m\n", - "\u001b[0;34m :param colormap: A numpy array of shape (num_classes, 3) with an RGB value per class.\u001b[0m\n", - "\u001b[0;34m :param remove_holes: If True, remove holes in the segmentation result.\u001b[0m\n", - "\u001b[0;34m :return: An RGP image with segmentation mask overlayed on the source image.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m 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\u001b[0;34m=\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mmask\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_width\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimage_height\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddWeighted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m\n", + "\u001b[0msegmentation_map_to_overlay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mremove_holes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0msegmentation_map_to_overlay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mremove_holes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Returns a new image where a segmentation mask (created with colormap) is overlayed on\u001b[0m\n", + "\u001b[0;34m the source image.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param image: Source image.\u001b[0m\n", + "\u001b[0;34m :param result: A single network result after converting to pixel values in H,W or 1,H,W shape.\u001b[0m\n", + "\u001b[0;34m :param alpha: Alpha transparency value for the overlay image.\u001b[0m\n", + "\u001b[0;34m :param colormap: A numpy array of shape (num_classes, 3) with an RGB value per class.\u001b[0m\n", + "\u001b[0;34m :param remove_holes: If True, remove holes in the segmentation result.\u001b[0m\n", + "\u001b[0;34m :return: An RGP image with segmentation mask overlayed on the source image.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mimage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrepeat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexpand_dims\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mmask\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msegmentation_map_to_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mremove_holes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mimage_height\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimage_width\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mmask\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_width\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimage_height\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddWeighted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -1118,6 +1089,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "72ab2c0c", "metadata": {}, @@ -1129,98 +1101,100 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "id": "d162edd1", "metadata": { "tags": [] }, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m\n", - "\u001b[0mviz_result_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresult_image\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0msource_image\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0msource_title\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresult_title\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m:\u001b[0m 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\u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0mviz_result_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresult_image\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0msource_image\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0msource_title\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m 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If provided this image will be shown\u001b[0m\n", - "\u001b[0;34m next to the result image. source_image is expected to be in RGB format.\u001b[0m\n", - "\u001b[0;34m Set bgr_to_rgb to True if source_image is in BGR format.\u001b[0m\n", - "\u001b[0;34m :param source_title: Title to display for the source image.\u001b[0m\n", - "\u001b[0;34m :param result_title: Title to display for the result image.\u001b[0m\n", - "\u001b[0;34m :param labels: List of labels. If provided, a legend will be shown with the given labels.\u001b[0m\n", - "\u001b[0;34m :param resize: If true, resize the result image to the same shape as the source image.\u001b[0m\n", - "\u001b[0;34m :param bgr_to_rgb: If true, convert the source image from BGR to RGB. Use this option if\u001b[0m\n", - "\u001b[0;34m source_image is a BGR image.\u001b[0m\n", - "\u001b[0;34m :param hide_axes: If true, do not show matplotlib axes.\u001b[0m\n", - "\u001b[0;34m :return: Matplotlib figure with result image\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mbgr_to_rgb\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0msource_image\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mto_rgb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource_image\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mresize\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mresult_image\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult_image\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0msource_image\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msource_image\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mnum_images\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0msource_image\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_images\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m16\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msqueeze\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0msource_image\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource_image\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_title\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource_title\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_images\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult_image\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum_images\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_title\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult_title\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhide_axes\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"off\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcolors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_colormap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlines\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mLine2D\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m255\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mitem\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlinestyle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"-\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcolors\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlines\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_labels\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mbbox_to_anchor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mloc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"upper left\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mprop\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"size\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;36m12\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m\n", + "\u001b[0mviz_result_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult_image\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0msource_image\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0msource_title\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult_title\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnotebook_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLabel\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresize\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mbgr_to_rgb\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mhide_axes\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0mviz_result_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult_image\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0msource_image\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0msource_title\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult_title\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mLabel\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresize\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mbgr_to_rgb\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mhide_axes\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Show result image, optionally together with source images, and a legend with labels.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param result_image: Numpy array of RGB result image.\u001b[0m\n", + "\u001b[0;34m :param source_image: Numpy array of source image. If provided this image will be shown\u001b[0m\n", + "\u001b[0;34m next to the result image. source_image is expected to be in RGB format.\u001b[0m\n", + "\u001b[0;34m Set bgr_to_rgb to True if source_image is in BGR format.\u001b[0m\n", + "\u001b[0;34m :param source_title: Title to display for the source image.\u001b[0m\n", + "\u001b[0;34m :param result_title: Title to display for the result image.\u001b[0m\n", + "\u001b[0;34m :param labels: List of labels. If provided, a legend will be shown with the given labels.\u001b[0m\n", + "\u001b[0;34m :param resize: If true, resize the result image to the same shape as the source image.\u001b[0m\n", + "\u001b[0;34m :param bgr_to_rgb: If true, convert the source image from BGR to RGB. Use this option if\u001b[0m\n", + "\u001b[0;34m source_image is a BGR image.\u001b[0m\n", + "\u001b[0;34m :param hide_axes: If true, do not show matplotlib axes.\u001b[0m\n", + "\u001b[0;34m :return: Matplotlib figure with result image\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlines\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mLine2D\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mbgr_to_rgb\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0msource_image\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mto_rgb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msource_image\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mresize\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mresult_image\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult_image\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0msource_image\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msource_image\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + 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"\u001b[0;34m\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlines\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_labels\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mbbox_to_anchor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mloc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"upper left\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mprop\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"size\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;36m12\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -1230,6 +1204,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "a6f109c8-1b31-44ce-9c8e-6e52dd489994", "metadata": { @@ -1243,7 +1218,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "id": "2d300c70", "metadata": { "tags": [ @@ -1253,7 +1228,7 @@ "outputs": [ { "data": { - "image/png": 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", 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MifPPP3/EtVe/+tUxffr00vWPfexjsXz58jjjjDNi6tSpcd1110V7e7tPhgMA4KTZRwEAymvUH0jycu66666YMGFCLFy4MIaGhmLBggXxla98pdy/DQAAHJN9FADg+J10HPzJT34y4tcNDQ2xfv36WL9+/cm+NAAAvCz7KADAiRvVB5IAAAAAAKcOcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACCp2koPAAAAAMfyn72fqPQIAKc87xwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIatRx8I9//GN88IMfjOnTp8fkyZPjggsuiCeeeKL0fFEUsXr16pg5c2ZMnjw5Ojo6Ys+ePWUdGgCAvOyjAADlUzuam//617/G/Pnz4x3veEf88Ic/jNe85jWxZ8+eOP3000v33HnnnbFu3brYvHlztLW1xapVq2LBggXx9NNPR0NDQ9n/BYAxclOlBwCAF7OPAgCU16ji4B133BGtra2xadOm0rW2trbSPxdFEWvXro3Pfe5zccUVV0RExDe+8Y1oamqK733ve3H11VeXaWwAADKyjwIAlNeovq34Bz/4QcyZMyfe9773xYwZM+LCCy+Me++9t/T8s88+G319fdHR0VG61tjYGPPmzYvt27eXb2oAAFKyjwIAlNeo4uDvfve72LBhQ5xzzjnxox/9KD75yU/G9ddfH5s3b46IiL6+voiIaGpqGvF1TU1NpedeaGhoKAYHB0c8AADgWMZiH42wkwIAeY3q24qHh4djzpw5cfvtt0dExIUXXhhPPfVUbNy4MRYvXnxCA3R1dcXNN998Ql8LAEAuY7GPRthJAYC8RvXOwZkzZ8Yb3vCGEdfOPffc2Lt3b0RENDc3R0REf3//iHv6+/tLz73QypUrY2BgoPTo7e0dzUgAACQyFvtohJ0UAMhrVHFw/vz50dPTM+LaM888E6997Wsj4v9+GHRzc3N0d3eXnh8cHIzHH3882tvbj/ma9fX1MXXq1BEPAAA4lrHYRyPspABAXqP6tuJly5bFJZdcErfffnu8//3vj507d8Y999wT99xzT0RE1NTUxNKlS+PWW2+Nc845J9ra2mLVqlXR0tISV1555VjMDwBAIvZRAIDyGlUcvPjii+OBBx6IlStXxi233BJtbW2xdu3aWLRoUemeG2+8MQ4ePBjXXnttHDhwIC699NJ4+OGHo6GhoezDAwCQi30UAKC8RhUHIyLe8573xHve856XfL6mpiZuueWWuOWWW05qMAAAOBb7KABA+YzqZw4CAAAAAKcOcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhIHAQAAACApcRAAAAAAkhpVHDx69GisWrUq2traYvLkyfH6178+Pv/5z0dRFKV7iqKI1atXx8yZM2Py5MnR0dERe/bsKfvgAADkYx8FACiv2tHcfMcdd8SGDRti8+bNcd5558UTTzwR11xzTTQ2Nsb1118fERF33nlnrFu3LjZv3hxtbW2xatWqWLBgQTz99NPR0NAwJv8S8Iq7udIDAEBO9lH4/77YurHSIwBwChhVHPzZz34WV1xxRVx++eUREXH22WfHt771rdi5c2dE/N/f0q5duzY+97nPxRVXXBEREd/4xjeiqakpvve978XVV19d5vEBAMjEPgoAUF6j+rbiSy65JLq7u+OZZ56JiIhf/vKX8dhjj8W73/3uiIh49tlno6+vLzo6Okpf09jYGPPmzYvt27cf8zWHhoZicHBwxAMAAI5lLPbRCDspAJDXqN45uGLFihgcHIzZs2fHxIkT4+jRo3HbbbfFokWLIiKir68vIiKamppGfF1TU1PpuRfq6uqKm2/2PZoAALy8sdhHI+ykAEBeo3rn4He+85247777YsuWLfHkk0/G5s2b44tf/GJs3rz5hAdYuXJlDAwMlB69vb0n/FoAAJzaxmIfjbCTAgB5jeqdg5/+9KdjxYoVpZ/VcsEFF8Tvf//76OrqisWLF0dzc3NERPT398fMmTNLX9ff3x9vfvObj/ma9fX1UV9ff4LjAwCQyVjsoxF2UgAgr1G9c/D555+PCRNGfsnEiRNjeHg4IiLa2tqiubk5uru7S88PDg7G448/Hu3t7WUYFwCAzOyjAADlNap3Dv7Hf/xH3HbbbTFr1qw477zz4uc//3n893//d3z0ox+NiIiamppYunRp3HrrrXHOOedEW1tbrFq1KlpaWuLKK68ci/kBAEjEPgoAUF6jioN33313rFq1Kj71qU/F/v37o6WlJT7+8Y/H6tWrS/fceOONcfDgwbj22mvjwIEDcemll8bDDz8cDQ0NZR8eAIBc7KMAAOVVUxRFUekh/tng4GA0NjbGihUrLHAAQFU6dOhQrFmzJgYGBmLq1KmVHocTUNpJL10RDbV2UgCguhz6+6FY89jx7aOj+pmDAAAAAMCpQxwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKTEQQAAAABIShwEAAAAgKRqKz3ACxVFERERQ0NDFZ4EAODE/GOP+cdeQ/Up7aR/t5MCANXnHzvM8eyjNcU421r/8Ic/RGtra6XHAAA4ab29vXHWWWdVegxOgJ0UADgVHM8+Ou7i4PDwcOzbty+mTJkSzz33XLS2tkZvb29MnTq10qNxAgYHB51hlXOG1c35VT9nWJ2KoojnnnsuWlpaYsIEP8WlGtlJTx3+HK1+zrD6OcPq5vyq02j20XH3bcUTJkwoFc2ampqIiJg6dar/AVY5Z1j9nGF1c37VzxlWn8bGxkqPwEmwk556nF/1c4bVzxlWN+dXfY53H/VX2QAAAACQlDgIAAAAAEmN6zhYX18fN910U9TX11d6FE6QM6x+zrC6Ob/q5wyh8vz/sLo5v+rnDKufM6xuzu/UN+4+kAQAAAAAeGWM63cOAgAAAABjRxwEAAAAgKTEQQAAAABIShwEAAAAgKTGdRxcv359nH322dHQ0BDz5s2LnTt3VnokjqGrqysuvvjimDJlSsyYMSOuvPLK6OnpGXHPoUOHorOzM6ZPnx6nnXZaLFy4MPr7+ys0MS9nzZo1UVNTE0uXLi1dc4bj3x//+Mf44Ac/GNOnT4/JkyfHBRdcEE888UTp+aIoYvXq1TFz5syYPHlydHR0xJ49eyo4Mf9w9OjRWLVqVbS1tcXkyZPj9a9/fXz+85+Pf/7MMOcHlWEfrR520lOLfbQ62Uerm500r3EbB7/97W/H8uXL46abboonn3wy3vSmN8WCBQti//79lR6NF9i2bVt0dnbGjh074pFHHokjR47Eu971rjh48GDpnmXLlsWDDz4YW7dujW3btsW+ffviqquuquDUvJRdu3bFV7/61XjjG9844rozHN/++te/xvz582PSpEnxwx/+MJ5++un40pe+FKeffnrpnjvvvDPWrVsXGzdujMcffzxe/epXx4IFC+LQoUMVnJyIiDvuuCM2bNgQX/7yl+M3v/lN3HHHHXHnnXfG3XffXbrH+cErzz5aXeykpw77aHWyj1Y/O2lixTg1d+7corOzs/Tro0ePFi0tLUVXV1cFp+J47N+/v4iIYtu2bUVRFMWBAweKSZMmFVu3bi3d85vf/KaIiGL79u2VGpNjeO6554pzzjmneOSRR4p///d/L2644YaiKJxhNfjMZz5TXHrppS/5/PDwcNHc3Fx84QtfKF07cOBAUV9fX3zrW996JUbkX7j88suLj370oyOuXXXVVcWiRYuKonB+UCn20epmJ61O9tHqZR+tfnbSvMblOwcPHz4cu3fvjo6OjtK1CRMmREdHR2zfvr2Ck3E8BgYGIiLijDPOiIiI3bt3x5EjR0ac5+zZs2PWrFnOc5zp7OyMyy+/fMRZRTjDavCDH/wg5syZE+973/tixowZceGFF8a9995bev7ZZ5+Nvr6+EWfY2NgY8+bNc4bjwCWXXBLd3d3xzDPPRETEL3/5y3jsscfi3e9+d0Q4P6gE+2j1s5NWJ/to9bKPVj87aV61lR7gWP7yl7/E0aNHo6mpacT1pqam+O1vf1uhqTgew8PDsXTp0pg/f36cf/75ERHR19cXdXV1MW3atBH3NjU1RV9fXwWm5Fjuv//+ePLJJ2PXrl0ves4Zjn+/+93vYsOGDbF8+fL47Gc/G7t27Yrrr78+6urqYvHixaVzOtafq86w8lasWBGDg4Mxe/bsmDhxYhw9ejRuu+22WLRoUUSE84MKsI9WNztpdbKPVjf7aPWzk+Y1LuMg1auzszOeeuqpeOyxxyo9CqPQ29sbN9xwQzzyyCPR0NBQ6XE4AcPDwzFnzpy4/fbbIyLiwgsvjKeeeio2btwYixcvrvB0vJzvfOc7cd9998WWLVvivPPOi1/84hexdOnSaGlpcX4AJ8BOWn3so9XPPlr97KR5jctvKz7zzDNj4sSJL/rkqf7+/mhubq7QVLycJUuWxEMPPRQ//vGP46yzzipdb25ujsOHD8eBAwdG3O88x4/du3fH/v374y1veUvU1tZGbW1tbNu2LdatWxe1tbXR1NTkDMe5mTNnxhve8IYR184999zYu3dvRETpnPy5Oj59+tOfjhUrVsTVV18dF1xwQXzoQx+KZcuWRVdXV0Q4P6gE+2j1spNWJ/to9bOPVj87aV7jMg7W1dXFRRddFN3d3aVrw8PD0d3dHe3t7RWcjGMpiiKWLFkSDzzwQDz66KPR1tY24vmLLrooJk2aNOI8e3p6Yu/evc5znLjsssvi17/+dfziF78oPebMmROLFi0q/bMzHN/mz58fPT09I64988wz8drXvjYiItra2qK5uXnEGQ4ODsbjjz/uDMeB559/PiZMGPmf5IkTJ8bw8HBEOD+oBPto9bGTVjf7aPWzj1Y/O2lilf5ElJdy//33F/X19cXXv/714umnny6uvfbaYtq0aUVfX1+lR+MFPvnJTxaNjY3FT37yk+JPf/pT6fH888+X7vnEJz5RzJo1q3j00UeLJ554omhvby/a29srODUv558/Ha4onOF4t3PnzqK2tra47bbbij179hT33Xdf8apXvar45je/WbpnzZo1xbRp04rvf//7xa9+9aviiiuuKNra2oq//e1vFZycoiiKxYsXF//2b/9WPPTQQ8Wzzz5bfPe73y3OPPPM4sYbbyzd4/zglWcfrS520lOPfbS62Eern500r3EbB4uiKO6+++5i1qxZRV1dXTF37txix44dlR6JY4iIYz42bdpUuudvf/tb8alPfao4/fTTi1e96lXFe9/73uJPf/pT5YbmZb1wGXOG49+DDz5YnH/++UV9fX0xe/bs4p577hnx/PDwcLFq1aqiqampqK+vLy677LKip6enQtPyzwYHB4sbbrihmDVrVtHQ0FC87nWvK/7rv/6rGBoaKt3j/KAy7KPVw0566rGPVh/7aHWzk+ZVUxRFUZn3LAIAAAAAlTQuf+YgAAAAADD2xEEAAAAASEocBAAAAICkxEEAAAAASEocBAAAAICkxEEAAAAASEocBAAAAICkxEEAAAAASEocBAAAAICkxEEAAAAASEocBAAAAICkxEEAAAAASOp/AQHNqTR62j1/AAAAAElFTkSuQmCC", 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", 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", 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" ] @@ -1339,6 +1314,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "46431fa9", "metadata": {}, @@ -1350,7 +1326,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "id": "e34bd4a7-fa1b-41aa-9116-287361780f45", "metadata": {}, "outputs": [], @@ -1360,37 +1336,35 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "id": "7f5ccdef", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mInit signature:\u001b[0m \u001b[0mNotebookAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malert_class\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m Common base class for all non-exit exceptions.\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mclass\u001b[0m \u001b[0mNotebookAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mException\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malert_class\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Show an alert box with the given message.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param message: The message to display.\u001b[0m\n", - "\u001b[0;34m :param alert_class: The class for styling the message. Options: info, warning, success, danger.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0malert_class\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0malert_class\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mshow_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mHTML\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"\"\"
{self.message}\"\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m type\n", - "\u001b[0;31mSubclasses:\u001b[0m DeviceNotFoundAlert" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mInit signature:\u001b[0m \u001b[0mNotebookAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malert_class\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m Common base class for all non-exit exceptions.\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mclass\u001b[0m \u001b[0mNotebookAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mException\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malert_class\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Show an alert box with the given message.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param message: The message to display.\u001b[0m\n", + "\u001b[0;34m :param alert_class: The class for styling the message. Options: info, warning, success, danger.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0malert_class\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0malert_class\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mshow_message\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mHTML\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"\"\"
{self.message}\"\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m type\n", + "\u001b[0;31mSubclasses:\u001b[0m DeviceNotFoundAlert" + ] } ], "source": [ @@ -1399,48 +1373,46 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "id": "83a76f3e-69c9-46c3-a75b-8a6f04c92f9a", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mInit signature:\u001b[0m \u001b[0mDeviceNotFoundAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m Common base class for all non-exit exceptions.\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mclass\u001b[0m \u001b[0mDeviceNotFoundAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mNotebookAlert\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Show a warning message about an unavailable device. This class does not check whether or\u001b[0m\n", - "\u001b[0;34m not the device is available, use the `check_device` function to check this. `check_device`\u001b[0m\n", - "\u001b[0;34m also shows the warning if the device is not found.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param device: The unavailable device.\u001b[0m\n", - "\u001b[0;34m :return: A formatted alert box with the message that `device` is not available, and a list\u001b[0m\n", - "\u001b[0;34m of devices that are available.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mie\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0msupported_devices\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mie\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mavailable_devices\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34mf\"Running this cell requires a {device} device, \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"which is not available on this system. \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0malert_class\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"warning\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msupported_devices\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;34mf\"The following device is available: {ie.available_devices[0]}\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"The following devices are available: \"\u001b[0m \u001b[0;34mf\"{', '.join(ie.available_devices)}\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0malert_class\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m type\n", - "\u001b[0;31mSubclasses:\u001b[0m " - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mInit signature:\u001b[0m \u001b[0mDeviceNotFoundAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m Common base class for all non-exit exceptions.\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mclass\u001b[0m \u001b[0mDeviceNotFoundAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mNotebookAlert\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Show a warning message about an unavailable device. This class does not check whether or\u001b[0m\n", + "\u001b[0;34m not the device is available, use the `check_device` function to check this. `check_device`\u001b[0m\n", + "\u001b[0;34m also shows the warning if the device is not found.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param device: The unavailable device.\u001b[0m\n", + "\u001b[0;34m :return: A formatted alert box with the message that `device` is not available, and a list\u001b[0m\n", + "\u001b[0;34m of devices that are available.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mie\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0msupported_devices\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mie\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mavailable_devices\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34mf\"Running this cell requires a {device} device, \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"which is not available on this system. \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0malert_class\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"warning\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msupported_devices\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;34mf\"The following device is available: {ie.available_devices[0]}\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"The following devices are available: \"\u001b[0m \u001b[0;34mf\"{', '.join(ie.available_devices)}\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0malert_class\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m type\n", + "\u001b[0;31mSubclasses:\u001b[0m " + ] } ], "source": [ @@ -1449,35 +1421,33 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "id": "44cf8ad9-6a65-4359-b32b-c38d347bfd15", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mcheck_device\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0mcheck_device\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Check if the specified device is available on the system.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param device: Device to check. e.g. CPU, GPU\u001b[0m\n", - "\u001b[0;34m :return: True if the device is available, False if not. If the device is not available,\u001b[0m\n", - "\u001b[0;34m a DeviceNotFoundAlert will be shown.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mie\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdevice\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mie\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mavailable_devices\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mDeviceNotFoundAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mcheck_device\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0mcheck_device\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Check if the specified device is available on the system.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param device: Device to check. e.g. CPU, GPU\u001b[0m\n", + "\u001b[0;34m :return: True if the device is available, False if not. If the device is not available,\u001b[0m\n", + "\u001b[0;34m a DeviceNotFoundAlert will be shown.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mie\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCore\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdevice\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mie\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mavailable_devices\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mDeviceNotFoundAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -1486,43 +1456,41 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "id": "7c2a8304-03df-4c37-bd2e-55623e88e187", "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mcheck_openvino_version\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mversion\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mSource:\u001b[0m \n", - "\u001b[0;32mdef\u001b[0m \u001b[0mcheck_openvino_version\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mversion\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", - "\u001b[0;34m Check if the specified OpenVINO version is installed.\u001b[0m\n", - "\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m :param version: the OpenVINO version to check. Example: 2021.4\u001b[0m\n", - "\u001b[0;34m :return: True if the version is installed, False if not. If the version is not installed,\u001b[0m\n", - "\u001b[0;34m an alert message will be shown.\u001b[0m\n", - "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0minstalled_version\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_version\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mversion\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0minstalled_version\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mNotebookAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34mf\"This notebook requires OpenVINO {version}. \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34mf\"The version on your system is: {installed_version}.
\"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"Please run pip install --upgrade -r requirements.txt \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"in the openvino_env environment to install this version. \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"See the \"\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m\"OpenVINO Notebooks README for detailed instructions\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0malert_class\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"danger\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mFile:\u001b[0m ~/work/openvino_notebooks/notebooks/utils/notebook_utils.py\n", - "\u001b[0;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mcheck_openvino_version\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mversion\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mSource:\u001b[0m \n", + "\u001b[0;32mdef\u001b[0m \u001b[0mcheck_openvino_version\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mversion\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"\"\"\u001b[0m\n", + "\u001b[0;34m Check if the specified OpenVINO version is installed.\u001b[0m\n", + "\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m :param version: the OpenVINO version to check. Example: 2021.4\u001b[0m\n", + "\u001b[0;34m :return: True if the version is installed, False if not. If the version is not installed,\u001b[0m\n", + "\u001b[0;34m an alert message will be shown.\u001b[0m\n", + "\u001b[0;34m \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0minstalled_version\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_version\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mversion\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0minstalled_version\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mNotebookAlert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34mf\"This notebook requires OpenVINO {version}. \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34mf\"The version on your system is: {installed_version}.
\"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"Please run pip install --upgrade -r requirements.txt \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"in the openvino_env environment to install this version. \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"See the \"\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m\"OpenVINO Notebooks README for detailed instructions\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0malert_class\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"danger\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFile:\u001b[0m ~/openvino_notebooks/notebooks/utils/notebook_utils.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] } ], "source": [ @@ -1530,6 +1498,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "a19e1d08", "metadata": { @@ -1543,7 +1512,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "id": "a7983c8f", "metadata": { "tags": [ @@ -1566,7 +1535,7 @@ { "data": { "text/html": [ - "
Running this cell requires a GPU device, which is not available on this system. The following devices are available: CPU, GPU" + "
Running this cell requires a GPU device, which is not available on this system. The following device is available: CPU" ], "text/plain": [ "" @@ -1583,7 +1552,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "id": "6bda8ef3", "metadata": { "tags": [ @@ -1597,7 +1566,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "id": "944820e1", "metadata": { "tags": [ @@ -1608,7 +1577,7 @@ { "data": { "text/html": [ - "
Running this cell requires a HELLOWORLD device, which is not available on this system. The following devices are available: CPU, GPU" + "
Running this cell requires a HELLOWORLD device, which is not available on this system. The following device is available: CPU" ], "text/plain": [ "" @@ -1625,7 +1594,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "id": "41c370ef", "metadata": { "tags": [ @@ -1636,7 +1605,7 @@ { "data": { "text/html": [ - "
This notebook requires OpenVINO 2022.1. The version on your system is: 2023.0.0-10926-b4452d56304-releases/2023/0.
Please run pip install --upgrade -r requirements.txt in the openvino_env environment to install this version. See the OpenVINO Notebooks README for detailed instructions" + "
This notebook requires OpenVINO 2022.1. The version on your system is: 2023.0.1-11005-fa1c41994f3-releases/2023/0.
Please run pip install --upgrade -r requirements.txt in the openvino_env environment to install this version. See the OpenVINO Notebooks README for detailed instructions" ], "text/plain": [ "" @@ -1671,7 +1640,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" } }, "nbformat": 4, diff --git a/notebooks/utils/notebook_utils.py b/notebooks/utils/notebook_utils.py index 20f021bbbb8..166dc853f82 100644 --- a/notebooks/utils/notebook_utils.py +++ b/notebooks/utils/notebook_utils.py @@ -5,7 +5,6 @@ import os -import requests import threading import time import urllib.parse @@ -36,6 +35,8 @@ def load_image(path: str) -> np.ndarray: :return: image as BGR numpy array """ import cv2 + import requests + if path.startswith("http"): # Set User-Agent to Mozilla because some websites block # requests with User-Agent Python @@ -71,6 +72,7 @@ def download_file( :return: path to downloaded file """ from tqdm.notebook import tqdm_notebook + import requests filename = filename or Path(urllib.parse.urlparse(url).path).name chunk_size = 16384 # make chunks bigger so that not too many updates are triggered for Jupyter front-end @@ -206,6 +208,8 @@ class VideoPlayer: def __init__(self, source, size=None, flip=False, fps=None, skip_first_frames=0): import cv2 + + self.cv2 = cv2 # This is done to access the package in class methods self.__cap = cv2.VideoCapture(source) if not self.__cap.isOpened(): raise RuntimeError( @@ -291,9 +295,9 @@ def next(self): # need to copy frame, because can be cached and reused if fps is low frame = self.__frame.copy() if self.__size is not None: - frame = cv2.resize(frame, self.__size, interpolation=self.__interpolation) + frame = self.cv2.resize(frame, self.__size, interpolation=self.__interpolation) if self.__flip: - frame = cv2.flip(frame, 1) + frame = self.cv2.flip(frame, 1) return frame