From 64ade220668e1679c300aa314b7720d9a16d2082 Mon Sep 17 00:00:00 2001 From: 41023254 <91449716+41023254@users.noreply.github.com> Date: Tue, 25 Nov 2025 11:42:13 +0800 Subject: [PATCH] =?UTF-8?q?=E4=BD=BF=E7=94=A8=20Colab=20=E5=BB=BA=E7=AB=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...gment-videos-with-segment-anything-3.ipynb | 1902 +++++++++++++++++ 1 file changed, 1902 insertions(+) create mode 100644 notebooks/how-to-segment-videos-with-segment-anything-3.ipynb diff --git a/notebooks/how-to-segment-videos-with-segment-anything-3.ipynb b/notebooks/how-to-segment-videos-with-segment-anything-3.ipynb new file mode 100644 index 00000000..3574659d --- /dev/null +++ b/notebooks/how-to-segment-videos-with-segment-anything-3.ipynb @@ -0,0 +1,1902 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "[![Roboflow Notebooks](https://media.roboflow.com/notebooks/template/bannertest2-2.png?ik-sdk-version=javascript-1.4.3&updatedAt=1672932710194)](https://github.com/roboflow/notebooks)\n", + "\n", + "# How to Segment Videos with Segment Anything 3 (SAM3)\n", + "\n", + "---\n", + "\n", + "[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-segment-videos-with-segment-anything-3.ipynb) [![Roboflow](https://raw.githubusercontent.com/roboflow-ai/notebooks/main/assets/badges/roboflow-blogpost.svg)](https://blog.roboflow.com/sam3/) [![GitHub](https://badges.aleen42.com/src/github.svg)](https://github.com/facebookresearch/sam3)\n", + "\n", + "SAM 3 (Segment Anything Model 3) extends the SAM series by moving from segmenting individual objects to understanding and segmenting all instances of a concept in images and videos. It introduces Promptable Concept Segmentation (PCS), where users specify a concept through short noun phrases like β€œstriped cat” or by providing visual exemplars. The model detects, segments, and tracks every matching object, preserving identities across frames.\n" + ], + "metadata": { + "id": "N8rrFqcQv6ZJ" + }, + "id": "N8rrFqcQv6ZJ" + }, + { + "cell_type": "markdown", + "source": [ + "## Environment setup" + ], + "metadata": { + "id": "OU5wkWxhxJPM" + }, + "id": "OU5wkWxhxJPM" + }, + { + "cell_type": "markdown", + "source": [ + "### Configure your API keys\n", + "\n", + "To pull Segment Anything 3 weights, you need a HuggingFace Access Token with approved access to the SAM 3 checkpoints.\n", + "\n", + "- Request access to the SAM 3 checkpoints on the official Hugging Face [repo](https://github.com/facebookresearch/sam3).\n", + "- Open your HuggingFace Settings page. Click Access Tokens then New Token to generate a new token.\n", + "- In Colab, go to the left pane and click on Secrets (πŸ”‘). Store your HuggingFace Access Token under the name `HF_TOKEN`.\n", + "\n" + ], + "metadata": { + "id": "T7ksGVqPudcn" + }, + "id": "T7ksGVqPudcn" + }, + { + "cell_type": "code", + "source": [ + "import os\n", + "from google.colab import userdata\n", + "\n", + "os.environ[\"HF_TOKEN\"] = userdata.get(\"HF_TOKEN\")" + ], + "metadata": { + "id": "cTrd2gmzHONO" + }, + "id": "cTrd2gmzHONO", + "execution_count": 1, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Check GPU availability\n", + "\n", + "Let's make sure that we have access to GPU. We can use `nvidia-smi` command to do that. In case of any problems navigate to `Edit` -> `Notebook settings` -> `Hardware accelerator`, set it to `T4 GPU`, and then click `Save`." + ], + "metadata": { + "id": "ncCj5PUgxVV6" + }, + "id": "ncCj5PUgxVV6" + }, + { + "cell_type": "code", + "source": [ + "!nvidia-smi" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ILPFDHXR8Cfh", + "outputId": "3ee88c62-a48d-4148-f96e-6610a0d1dddf" + }, + "id": "ILPFDHXR8Cfh", + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Tue Nov 25 03:19:48 2025 \n", + "+-----------------------------------------------------------------------------------------+\n", + "| NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 |\n", + "|-----------------------------------------+------------------------+----------------------+\n", + "| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n", + "| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n", + "| | | MIG M. |\n", + "|=========================================+========================+======================|\n", + "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", + "| N/A 59C P8 11W / 70W | 0MiB / 15360MiB | 0% Default |\n", + "| | | N/A |\n", + "+-----------------------------------------+------------------------+----------------------+\n", + " \n", + "+-----------------------------------------------------------------------------------------+\n", + "| Processes: |\n", + "| GPU GI CI PID Type Process name GPU Memory |\n", + "| ID ID Usage |\n", + "|=========================================================================================|\n", + "| No running processes found |\n", + "+-----------------------------------------------------------------------------------------+\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import torch\n", + "import torchvision\n", + "\n", + "print(\"PyTorch version:\", torch.__version__)\n", + "print(\"Torchvision version:\", torchvision.__version__)\n", + "print(\"CUDA is available:\", torch.cuda.is_available())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Vw3admXIqMlC", + "outputId": "a9e0d48e-aa4e-4c0b-81de-8462ee13d440" + }, + "id": "Vw3admXIqMlC", + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "PyTorch version: 2.9.0+cu126\n", + "Torchvision version: 0.24.0+cu126\n", + "CUDA is available: True\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Install SAM 3 and extra dependencies" + ], + "metadata": { + "id": "bkMO3Xc-yTKi" + }, + "id": "bkMO3Xc-yTKi" + }, + { + "cell_type": "code", + "source": [ + "!git clone https://github.com/facebookresearch/sam3.git\n", + "%cd sam3\n", + "!pip install -e \".[notebooks]\"\n", + "%cd /content" + ], + "metadata": { + "id": "qq18j8epn6uG", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "0c6484b1-e5e6-444c-e62e-8cb6256eb55a" + }, + "id": "qq18j8epn6uG", + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "fatal: destination path 'sam3' already exists and is not an empty directory.\n", + "/content/sam3\n", + "Obtaining file:///content/sam3\n", + " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", + " Checking if build backend supports build_editable ... \u001b[?25l\u001b[?25hdone\n", + " Getting requirements to build editable ... \u001b[?25l\u001b[?25hdone\n", + " Preparing editable metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + "Requirement already satisfied: timm>=1.0.17 in /usr/local/lib/python3.12/dist-packages (from sam3==0.1.0) (1.0.22)\n", + "Requirement already satisfied: numpy==1.26 in /usr/local/lib/python3.12/dist-packages (from sam3==0.1.0) (1.26.0)\n", + "Requirement already satisfied: tqdm in 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arrow>=0.15.0->isoduration->jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.9.0->jupyter-server<3,>=2.4.0->jupyterlab->jupyter->sam3==0.1.0) (2025.2)\n", + "Building wheels for collected packages: sam3\n", + " Building editable for sam3 (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for sam3: filename=sam3-0.1.0-0.editable-py3-none-any.whl size=15197 sha256=fc1c6d1e9248fdab2c76cbbee99262e77f95d8af8dfb563afc6de90b0caffb11\n", + " Stored in directory: /tmp/pip-ephem-wheel-cache-keqonzvs/wheels/7c/90/be/80339bb9db8655024d6c9501da4e5efc6abbda4c897f5a6c43\n", + "Successfully built sam3\n", + "Installing collected packages: sam3\n", + " Attempting uninstall: sam3\n", + " Found existing installation: sam3 0.1.0\n", + " Uninstalling sam3-0.1.0:\n", + " Successfully uninstalled sam3-0.1.0\n", + "Successfully installed sam3-0.1.0\n", + "/content\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip install -q supervision jupyter_bbox_widget" + ], + "metadata": { + "id": "eM_DGtMk_gFM", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "6e3db561-2a0c-40d7-b8ca-fe1a6e3e6b56" + }, + "id": "eM_DGtMk_gFM", + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/212.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m212.4/212.4 kB\u001b[0m \u001b[31m11.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", + "\u001b[?25h" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip uninstall -y cc_torch; TORCH_CUDA_ARCH_LIST=\"8.0 9.0\"; pip install git+https://github.com/ronghanghu/cc_torch\n", + "!pip uninstall -y torch_generic_nms; TORCH_CUDA_ARCH_LIST=\"8.0 9.0\"; pip install git+https://github.com/ronghanghu/torch_generic_nms" + ], + "metadata": { + "id": "bQTxR3W8kdEQ", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "26744c71-e648-4ad8-84ba-d75d10dd7119" + }, + "id": "bQTxR3W8kdEQ", + "execution_count": 3, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[33mWARNING: Skipping cc_torch as it is not installed.\u001b[0m\u001b[33m\n", + "\u001b[0mCollecting git+https://github.com/ronghanghu/cc_torch\n", + " Cloning https://github.com/ronghanghu/cc_torch to /tmp/pip-req-build-ojccr0lu\n", + " Running command git clone --filter=blob:none --quiet https://github.com/ronghanghu/cc_torch /tmp/pip-req-build-ojccr0lu\n", + " Resolved https://github.com/ronghanghu/cc_torch to commit 446e9360ed10d3c8d03925ccb5f220ccb62009de\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Building wheels for collected packages: cc_torch\n", + " Building wheel for cc_torch (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for cc_torch: filename=cc_torch-0.2-cp312-cp312-linux_x86_64.whl size=322914 sha256=96c433f2a2a0aa3270812a08ecffd75dd3248f8c7778d418f070f80d17c69918\n", + " Stored in directory: /tmp/pip-ephem-wheel-cache-n64gfrkr/wheels/ec/00/d2/dd6e3f726591979dbc35c61d4feb785f48529310b422937236\n", + "Successfully built cc_torch\n", + "Installing collected packages: cc_torch\n", + "Successfully installed cc_torch-0.2\n", + "\u001b[33mWARNING: Skipping torch_generic_nms as it is not installed.\u001b[0m\u001b[33m\n", + "\u001b[0mCollecting git+https://github.com/ronghanghu/torch_generic_nms\n", + " Cloning https://github.com/ronghanghu/torch_generic_nms to /tmp/pip-req-build-kdwo5wvy\n", + " Running command git clone --filter=blob:none --quiet https://github.com/ronghanghu/torch_generic_nms /tmp/pip-req-build-kdwo5wvy\n", + " Resolved https://github.com/ronghanghu/torch_generic_nms to commit fcf02b41ea9b37988b244ef80583af17baa4a7f0\n", + " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + "Building wheels for collected packages: torch_generic_nms\n", + " Building wheel for torch_generic_nms (setup.py) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for torch_generic_nms: filename=torch_generic_nms-0.1-cp312-cp312-linux_x86_64.whl size=360743 sha256=417feb19714df6084669d62fcf00d1ba50029e0e8d96adaf839d18e813146200\n", + " Stored in directory: /tmp/pip-ephem-wheel-cache-vlr_5vzr/wheels/6d/e2/7b/8fa206b57cdb1a2366c97d01d12e5cfed6dc72c34ae5486b7e\n", + "Successfully built torch_generic_nms\n", + "Installing collected packages: torch_generic_nms\n", + "Successfully installed torch_generic_nms-0.1\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Download example data\n", + "\n", + "Downloads example videos. You can use these or replace them with your own videos." + ], + "metadata": { + "id": "W2mwOEgBjBGT" + }, + "id": "W2mwOEgBjBGT" + }, + { + "cell_type": "code", + "source": [ + "!wget -q https://storage.googleapis.com/com-roboflow-marketing/supervision/video-examples/jets-1280x720-1.mp4\n", + "!wget -q https://storage.googleapis.com/com-roboflow-marketing/supervision/video-examples/jets-1280x720-2.mp4\n", + "!wget -q https://storage.googleapis.com/com-roboflow-marketing/supervision/video-examples/jets-1280x720-3.mp4\n", + "!wget -q https://storage.googleapis.com/com-roboflow-marketing/supervision/video-examples/go-karts-1280x720-3.mp4" + ], + "metadata": { + "id": "kgYKcd5W-p4o" + }, + "id": "kgYKcd5W-p4o", + "execution_count": 4, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "⚠️ Restart session." + ], + "metadata": { + "id": "MGyGxLYpV6Xs" + }, + "id": "MGyGxLYpV6Xs" + }, + { + "cell_type": "markdown", + "source": [ + "## Imports" + ], + "metadata": { + "id": "1p210QqLaOmp" + }, + "id": "1p210QqLaOmp" + }, + { + "cell_type": "code", + "source": [ + "import cv2\n", + "import torch\n", + "\n", + "import numpy as np\n", + "import supervision as sv\n", + "\n", + "from pathlib import Path\n", + "from PIL import Image\n", + "from typing import Optional\n", + "from IPython.display import Video\n", + "\n", + "from sam3.model_builder import build_sam3_video_predictor" + ], + "metadata": { + "id": "0G3d0K8xaQpw" + }, + "id": "0G3d0K8xaQpw", + "execution_count": 5, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "HOME = Path.cwd()\n", + "print(\"HOME:\", HOME)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "QynbB5AgFhML", + "outputId": "ae657435-23c8-4a84-c950-71cebf12f578" + }, + "id": "QynbB5AgFhML", + "execution_count": 6, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "HOME: /content\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Promptable Concept Segmentation (PCS)" + ], + "metadata": { + "id": "3IndjC9i9LnM" + }, + "id": "3IndjC9i9LnM" + }, + { + "cell_type": "markdown", + "source": [ + "### Load SAM3 model" + ], + "metadata": { + "id": "4FDlKcCsAMsn" + }, + "id": "4FDlKcCsAMsn" + }, + { + "cell_type": "code", + "source": [ + "# use all available GPUs on the machine\n", + "# DEVICES = range(torch.cuda.device_count())\n", + "\n", + "# # use only a single GPU\n", + "DEVICES = [torch.cuda.current_device()]" + ], + "metadata": { + "id": "v_DAc6b9Oswc" + }, + "id": "v_DAc6b9Oswc", + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "predictor = build_sam3_video_predictor(gpus_to_use=DEVICES)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 758 + }, + "id": "y51dHwSKO2CX", + "outputId": "50064adb-0852-4c76-bb3c-5ea6ca93081d" + }, + "id": "y51dHwSKO2CX", + "execution_count": 10, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "\u001b[0m\u001b[32mINFO 2025-11-25 03:41:10,427 1137 sam3_video_predictor.py: 299:\u001b[0m using the following GPU IDs: [0]\n", + "\u001b[0m\u001b[32mINFO 2025-11-25 03:41:10,429 1137 sam3_video_predictor.py: 315:\u001b[0m \n", + "\n", + "\n", + "\t*** START loading model on all ranks ***\n", + "\n", + "\n", + "\u001b[0m\u001b[32mINFO 2025-11-25 03:41:10,430 1137 sam3_video_predictor.py: 317:\u001b[0m loading model on rank=0 with world_size=1 -- this could take a while ...\n", + "\u001b[0m\u001b[32mINFO 2025-11-25 03:41:22,054 1137 sam3_video_base.py: 124:\u001b[0m setting max_num_objects=10000 and num_obj_for_compile=16\n" + ] + }, + { + "output_type": "error", + "ename": "GatedRepoError", + "evalue": "401 Client Error. (Request ID: Root=1-69252562-767f72a016b858f17efab4bc;003dd835-46ba-48a4-9fbf-d33699f1002d)\n\nCannot access gated repo for url https://huggingface.co/facebook/sam3/resolve/main/config.json.\nAccess to model facebook/sam3 is restricted. You must have access to it and be authenticated to access it. Please log in.", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mHTTPError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_http.py\u001b[0m in \u001b[0;36mhf_raise_for_status\u001b[0;34m(response, endpoint_name)\u001b[0m\n\u001b[1;32m 401\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m \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\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 403\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mHTTPError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/requests/models.py\u001b[0m in \u001b[0;36mraise_for_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1025\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhttp_error_msg\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1026\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mHTTPError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhttp_error_msg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\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\u001b[0m\n\u001b[0m\u001b[1;32m 1027\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mHTTPError\u001b[0m: 401 Client Error: Unauthorized for url: https://huggingface.co/facebook/sam3/resolve/main/config.json", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mGatedRepoError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/tmp/ipython-input-3394166841.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpredictor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbuild_sam3_video_predictor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgpus_to_use\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mDEVICES\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/content/sam3/sam3/model_builder.py\u001b[0m in \u001b[0;36mbuild_sam3_video_predictor\u001b[0;34m(gpus_to_use, *model_args, **model_kwargs)\u001b[0m\n\u001b[1;32m 789\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 790\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mbuild_sam3_video_predictor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgpus_to_use\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mmodel_kwargs\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;32m--> 791\u001b[0;31m return Sam3VideoPredictorMultiGPU(\n\u001b[0m\u001b[1;32m 792\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgpus_to_use\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mgpus_to_use\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 793\u001b[0m )\n", + "\u001b[0;32m/content/sam3/sam3/model/sam3_video_predictor.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, gpus_to_use, *model_args, **model_kwargs)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"loading model on {self.rank_str} -- this could take a while ...\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m \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[0;34m*\u001b[0m\u001b[0mmodel_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mmodel_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 319\u001b[0m \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"loading model on {self.rank_str} -- DONE locally\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/content/sam3/sam3/model/sam3_video_predictor.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, checkpoint_path, bpe_path, has_presence_token, geo_encoder_use_img_cross_attn, strict_state_dict_loading, async_loading_frames, video_loader_type, apply_temporal_disambiguation)\u001b[0m\n\u001b[1;32m 41\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 42\u001b[0m self.model = (\n\u001b[0;32m---> 43\u001b[0;31m build_sam3_video_model(\n\u001b[0m\u001b[1;32m 44\u001b[0m \u001b[0mcheckpoint_path\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcheckpoint_path\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 45\u001b[0m \u001b[0mbpe_path\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbpe_path\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/content/sam3/sam3/model_builder.py\u001b[0m in \u001b[0;36mbuild_sam3_video_model\u001b[0;34m(checkpoint_path, load_from_HF, bpe_path, has_presence_token, geo_encoder_use_img_cross_attn, strict_state_dict_loading, apply_temporal_disambiguation, device, compile)\u001b[0m\n\u001b[1;32m 769\u001b[0m \u001b[0;31m# Load checkpoint if provided\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 770\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mload_from_HF\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mcheckpoint_path\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 771\u001b[0;31m \u001b[0mcheckpoint_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdownload_ckpt_from_hf\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[0m\u001b[1;32m 772\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcheckpoint_path\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\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 773\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mg_pathmgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcheckpoint_path\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"rb\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/content/sam3/sam3/model_builder.py\u001b[0m in \u001b[0;36mdownload_ckpt_from_hf\u001b[0;34m()\u001b[0m\n\u001b[1;32m 642\u001b[0m \u001b[0mSAM3_CKPT_NAME\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"sam3.pt\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 643\u001b[0m \u001b[0mSAM3_CFG_NAME\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"config.json\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 644\u001b[0;31m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhf_hub_download\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrepo_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mSAM3_MODEL_ID\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mSAM3_CFG_NAME\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 645\u001b[0m \u001b[0mcheckpoint_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhf_hub_download\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrepo_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mSAM3_MODEL_ID\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mSAM3_CKPT_NAME\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 646\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcheckpoint_path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_validators.py\u001b[0m in \u001b[0;36m_inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 112\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msmoothly_deprecate_use_auth_token\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhas_token\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhas_token\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 113\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 114\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 116\u001b[0m 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\u001b[0mcache_dir\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcache_dir\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/huggingface_hub/file_download.py\u001b[0m in \u001b[0;36m_hf_hub_download_to_cache_dir\u001b[0;34m(cache_dir, repo_id, filename, repo_type, revision, endpoint, etag_timeout, headers, proxies, token, local_files_only, force_download)\u001b[0m\n\u001b[1;32m 1112\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1113\u001b[0m \u001b[0;31m# Otherwise, raise appropriate error\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1114\u001b[0;31m \u001b[0m_raise_on_head_call_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhead_call_error\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforce_download\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlocal_files_only\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1116\u001b[0m \u001b[0;31m# From now on, etag, commit_hash, url and size are not None.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/huggingface_hub/file_download.py\u001b[0m in \u001b[0;36m_raise_on_head_call_error\u001b[0;34m(head_call_error, force_download, local_files_only)\u001b[0m\n\u001b[1;32m 1653\u001b[0m \u001b[0;31m# Repo not found or gated => let's raise the actual error\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1654\u001b[0m \u001b[0;31m# Unauthorized => likely a token issue => let's raise the actual error\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1655\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mhead_call_error\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1656\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1657\u001b[0m \u001b[0;31m# Otherwise: most likely a connection issue or Hub downtime => let's warn the user\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/huggingface_hub/file_download.py\u001b[0m in \u001b[0;36m_get_metadata_or_catch_error\u001b[0;34m(repo_id, filename, repo_type, revision, endpoint, proxies, etag_timeout, headers, token, local_files_only, relative_filename, storage_folder)\u001b[0m\n\u001b[1;32m 1541\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1542\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1543\u001b[0;31m metadata = get_hf_file_metadata(\n\u001b[0m\u001b[1;32m 1544\u001b[0m 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\u001b[0msmoothly_deprecate_use_auth_token\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhas_token\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhas_token\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 113\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 114\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0m_inner_fn\u001b[0m \u001b[0;31m# type: ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/huggingface_hub/file_download.py\u001b[0m in \u001b[0;36mget_hf_file_metadata\u001b[0;34m(url, token, proxies, timeout, library_name, library_version, user_agent, headers, endpoint)\u001b[0m\n\u001b[1;32m 1458\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1459\u001b[0m \u001b[0;31m# Retrieve metadata\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1460\u001b[0;31m r = _request_wrapper(\n\u001b[0m\u001b[1;32m 1461\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"HEAD\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1462\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\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/huggingface_hub/file_download.py\u001b[0m in \u001b[0;36m_request_wrapper\u001b[0;34m(method, url, follow_relative_redirects, **params)\u001b[0m\n\u001b[1;32m 281\u001b[0m \u001b[0;31m# Recursively follow relative redirects\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 282\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mfollow_relative_redirects\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 283\u001b[0;31m response = _request_wrapper(\n\u001b[0m\u001b[1;32m 284\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 285\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\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/huggingface_hub/file_download.py\u001b[0m in \u001b[0;36m_request_wrapper\u001b[0;34m(method, url, follow_relative_redirects, **params)\u001b[0m\n\u001b[1;32m 305\u001b[0m \u001b[0;31m# Perform request and return if status_code is not in the retry list.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 306\u001b[0m \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhttp_backoff\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\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\u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 307\u001b[0;31m \u001b[0mhf_raise_for_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 308\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 309\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_http.py\u001b[0m in \u001b[0;36mhf_raise_for_status\u001b[0;34m(response, endpoint_name)\u001b[0m\n\u001b[1;32m 417\u001b[0m \u001b[0;34mf\"{response.status_code} Client Error.\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"\\n\\n\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34mf\"Cannot access gated repo for url {response.url}.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 418\u001b[0m )\n\u001b[0;32m--> 419\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0m_format\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mGatedRepoError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 420\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 421\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0merror_message\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"Access to this resource is disabled.\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mGatedRepoError\u001b[0m: 401 Client Error. (Request ID: Root=1-69252562-767f72a016b858f17efab4bc;003dd835-46ba-48a4-9fbf-d33699f1002d)\n\nCannot access gated repo for url https://huggingface.co/facebook/sam3/resolve/main/config.json.\nAccess to model facebook/sam3 is restricted. You must have access to it and be authenticated to access it. Please log in." + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Process the video\n", + "\n", + "SAM 3 assumee that the video is stored as a list of JPEG frames with filenames like `.jpg`. Let's start by downloading a sample video, splitting it into frames, and saving them to disk. Feel free to replace `SOURCE_VIDEO` with the path to your video file." + ], + "metadata": { + "id": "tfcd0hO2E3Ue" + }, + "id": "tfcd0hO2E3Ue" + }, + { + "cell_type": "code", + "source": [ + "SOURCE_VIDEO = HOME / \"jets-1280x720-3.mp4\"\n", + "SOURCE_FRAMES = HOME / SOURCE_VIDEO.stem\n", + "SOURCE_FRAMES.mkdir(parents=True, exist_ok=True)\n", + "\n", + "!ffmpeg -i {SOURCE_VIDEO} -q:v 2 -start_number 0 {SOURCE_FRAMES}/'%05d.jpg'" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "QJroeGkIFHCv", + "outputId": "4a043591-8d50-46d1-82cd-9e865db97a4e" + }, + "id": "QJroeGkIFHCv", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers\n", + " built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)\n", + " configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\n", + " libavutil 56. 70.100 / 56. 70.100\n", + " libavcodec 58.134.100 / 58.134.100\n", + " libavformat 58. 76.100 / 58. 76.100\n", + " libavdevice 58. 13.100 / 58. 13.100\n", + " libavfilter 7.110.100 / 7.110.100\n", + " libswscale 5. 9.100 / 5. 9.100\n", + " libswresample 3. 9.100 / 3. 9.100\n", + " libpostproc 55. 9.100 / 55. 9.100\n", + "Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/content/jets-1280x720-3.mp4':\n", + " Metadata:\n", + " major_brand : isom\n", + " minor_version : 512\n", + " compatible_brands: isomiso2avc1mp41\n", + " creation_time : 2025-04-24T05:29:16.000000Z\n", + " encoder : Blackmagic Design DaVinci Resolve\n", + " Duration: 00:00:07.16, start: 0.000000, bitrate: 8917 kb/s\n", + " Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709), 1920x1080, 8584 kb/s, SAR 1:1 DAR 16:9, 59.94 fps, 59.94 tbr, 60k tbn, 120k tbc (default)\n", + " Metadata:\n", + " creation_time : 2025-04-24T05:29:16.000000Z\n", + " handler_name : VideoHandler\n", + " vendor_id : [0][0][0][0]\n", + " encoder : H.264\n", + " timecode : 01:00:00:00\n", + " Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 319 kb/s (default)\n", + " Metadata:\n", + " creation_time : 2025-04-24T05:29:16.000000Z\n", + " handler_name : SoundHandler\n", + " vendor_id : [0][0][0][0]\n", + " Stream #0:2(eng): Data: none (tmcd / 0x64636D74), 0 kb/s (default)\n", + " Metadata:\n", + " creation_time : 2025-04-24T05:29:16.000000Z\n", + " handler_name : TimeCodeHandler\n", + " timecode : 01:00:00:00\n", + "Stream mapping:\n", + " Stream #0:0 -> #0:0 (h264 (native) -> mjpeg (native))\n", + "Press [q] to stop, [?] for help\n", + "\u001b[1;34m[swscaler @ 0x58126c9e8f80] \u001b[0m\u001b[0;33mdeprecated pixel format used, make sure you did set range correctly\n", + "\u001b[0mOutput #0, image2, to '/content/jets-1280x720-3/%05d.jpg':\n", + " Metadata:\n", + " major_brand : isom\n", + " minor_version : 512\n", + " compatible_brands: isomiso2avc1mp41\n", + " encoder : Lavf58.76.100\n", + " Stream #0:0(und): Video: mjpeg, yuvj420p(pc, bt709, progressive), 1920x1080 [SAR 1:1 DAR 16:9], q=2-31, 200 kb/s, 59.94 fps, 59.94 tbn (default)\n", + " Metadata:\n", + " creation_time : 2025-04-24T05:29:16.000000Z\n", + " handler_name : VideoHandler\n", + " vendor_id : [0][0][0][0]\n", + " timecode : 01:00:00:00\n", + " encoder : Lavc58.134.100 mjpeg\n", + " Side data:\n", + " cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: N/A\n", + "frame= 429 fps=122 q=2.0 Lsize=N/A time=00:00:07.15 bitrate=N/A speed=2.04x \n", + "video:33828kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "def load_frame(directory: str, index: int):\n", + " \"\"\"\n", + " Loads a frame with a specific index from a directory where frames are named\n", + " using the pattern '%05d.jpg' (e.g., 00000.jpg, 00001.jpg, 00002.jpg).\n", + "\n", + " Args:\n", + " directory (str): Path to the directory containing image frames.\n", + " index (int): Frame index (0-based).\n", + "\n", + " Returns:\n", + " numpy.ndarray: Loaded frame in BGR format.\n", + "\n", + " Raises:\n", + " FileNotFoundError: If the frame does not exist or cannot be read.\n", + " \"\"\"\n", + " directory_path = Path(directory)\n", + " frame_path = directory_path / f\"{index:05d}.jpg\"\n", + "\n", + " if not frame_path.exists():\n", + " raise FileNotFoundError(f\"Frame not found: {frame_path}\")\n", + "\n", + " frame = cv2.imread(str(frame_path))\n", + " if frame is None:\n", + " raise FileNotFoundError(f\"Failed to load frame: {frame_path}\")\n", + "\n", + " return frame" + ], + "metadata": { + "id": "4Fmya2ArKwuO" + }, + "id": "4Fmya2ArKwuO", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Opening video inference session\n", + "\n", + "\n", + "SAM 3 requires stateful inference for interactive video segmentation, so we need to initialize an inference session on this video. During initialization, it loads all the JPEG frames in the video directory and stores their features in the session state." + ], + "metadata": { + "id": "Eo_Tq8AnLLcF" + }, + "id": "Eo_Tq8AnLLcF" + }, + { + "cell_type": "code", + "source": [ + "response = predictor.handle_request(\n", + " request=dict(\n", + " type=\"start_session\",\n", + " resource_path=SOURCE_VIDEO.as_posix(),\n", + " )\n", + ")\n", + "session_id = response[\"session_id\"]" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jhhvBhPZQaV4", + "outputId": "0931a4f8-4caa-438e-de3a-1569d69f3a09" + }, + "id": "jhhvBhPZQaV4", + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "frame loading (OpenCV) [rank=0]: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 429/429 [00:01<00:00, 255.63it/s]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "_ = predictor.handle_request(\n", + " request=dict(\n", + " type=\"reset_session\",\n", + " session_id=session_id,\n", + " )\n", + ")" + ], + "metadata": { + "id": "inyhHsKlQpNA" + }, + "id": "inyhHsKlQpNA", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Adding a text prompt\n", + "\n", + "Here we use the text prompt \"person\" to detect all people in the video. SAM 3 will automatically identify multiple person instances and assign each a unique object ID." + ], + "metadata": { + "id": "4I93bYViMBLo" + }, + "id": "4I93bYViMBLo" + }, + { + "cell_type": "code", + "source": [ + "frame_idx = 0\n", + "frame = load_frame(SOURCE_FRAMES, frame_idx)\n", + "\n", + "sv.plot_image(frame)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 560 + }, + "id": "hGC4g2DiZo-t", + "outputId": "3ea0d576-8ae9-4075-c59e-a8851c12881d" + }, + "id": "hGC4g2DiZo-t", + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "text = \"jet\"\n", + "response = predictor.handle_request(\n", + " request=dict(\n", + " type=\"add_prompt\",\n", + " session_id=session_id,\n", + " frame_index=frame_idx,\n", + " text=text,\n", + " )\n", + ")\n", + "result = response[\"outputs\"]" + ], + "metadata": { + "id": "ehLfoNh0x4vj" + }, + "id": "ehLfoNh0x4vj", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Visualize results" + ], + "metadata": { + "id": "coMzoPtYOvfk" + }, + "id": "coMzoPtYOvfk" + }, + { + "cell_type": "code", + "source": [ + "def from_sam(result: dict) -> sv.Detections:\n", + " return sv.Detections(\n", + " xyxy=sv.mask_to_xyxy(result[\"out_binary_masks\"]),\n", + " mask=result[\"out_binary_masks\"],\n", + " confidence=result[\"out_probs\"],\n", + " tracker_id=result[\"out_obj_ids\"],\n", + " )" + ], + "metadata": { + "id": "-awmdWmwrpzT" + }, + "id": "-awmdWmwrpzT", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "COLOR = sv.ColorPalette.from_hex([\n", + " \"#ffff00\", \"#ff9b00\", \"#ff8080\", \"#ff66b2\", \"#ff66ff\", \"#b266ff\",\n", + " \"#9999ff\", \"#3399ff\", \"#66ffff\", \"#33ff99\", \"#66ff66\", \"#99ff00\"\n", + "])\n", + "\n", + "def annotate(image: np.ndarray, detections: sv.Detections, text = None) -> np.ndarray:\n", + " h, w, _ = image.shape\n", + " text_scale = sv.calculate_optimal_text_scale(resolution_wh=(w, h))\n", + "\n", + " mask_annotator = sv.MaskAnnotator(\n", + " color=COLOR,\n", + " color_lookup=sv.ColorLookup.TRACK,\n", + " opacity=0.6\n", + " )\n", + "\n", + " annotated_image = image.copy()\n", + " annotated_image = mask_annotator.annotate(annotated_image, detections)\n", + "\n", + " if text:\n", + " label_annotator = sv.LabelAnnotator(\n", + " color=COLOR,\n", + " color_lookup=sv.ColorLookup.TRACK,\n", + " text_scale=text_scale,\n", + " text_color=sv.Color.BLACK,\n", + " text_position=sv.Position.TOP_CENTER,\n", + " text_offset=(0, -30)\n", + " )\n", + " labels = [\n", + " f\"#{tracker_id} {text}\"\n", + " for tracker_id in detections.tracker_id\n", + " ]\n", + " annotated_image = label_annotator.annotate(annotated_image, detections, labels)\n", + "\n", + " return annotated_image" + ], + "metadata": { + "id": "2Hi-piBbsW30" + }, + "id": "2Hi-piBbsW30", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "detections = from_sam(result)\n", + "\n", + "annotated_frame = annotate(frame, detections, text)\n", + "\n", + "sv.plot_image(annotated_frame)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 560 + }, + "id": "rxyLMW0tsLx6", + "outputId": "6e08ffaf-e5a6-42f7-f15f-bf1a1a13299f" + }, + "id": "rxyLMW0tsLx6", + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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Optc2+f0a7x4h2jkh51PvQl62ZH/aTJ46IbcikSJ1v/5AVESI9pMQAoe6ZAmigxSN12tz5rgpWrO+lsaBS8v2GFUh1VLKLGNHdshYoqPViYa+JP69wZTXqcUpMNa5FrfPJV96vUnbVc99JBCRuszavce1txpLHTk4AgYalDY7C3aCFnqm4Ap3IbZn+ufa5PG+sfb5u2RGIQu9LEUkQoiYHN9YKgYK5HFVaSVK3+U9FVlSl2OI9CPRlvAVa420v+DCFCelyWdjDQFv4SxSu7dchueDFoltIXib853JS2t7HKnIs8IMSPbBhVp4Q90b/LC0H15prqaWyMokeml9Oas5oBdrzOG7q+qS0m2t6AzXRnxm8mwBZK0tHHoTSXq/0lq8cS2VXUIESsMwwIHxgQa4aFrJHPw1faE1LolY8IgXX0SVNuUx3gPJg0nIgDjYD0TwN8InzHgF4RaZO+WL031pfSPrnqghC2uiUmPb8mMumiFZbEjp9b0Qtgx5d0ULWtSdKJodqxNaDBAFeQPC3qhCfpzKUQhS8tGs1mstoVzhm134ROd+k4UcFMe0qbm2IfSTD/WsY1KrwEKKo3taGD9LjahGKWCZJokMgETSI9fHh5Cfjy57KZaYFFLoskQhjTybIf45GvCBxGpSlVsriRfizZgiP8y36SIwgp8x2RZx4cNAjF4fHNc5+qUwgBt5tfiSQT6+1vFTJhACxi/b5scQpViT/VhNXCvxqCAmBsMz46neGWouta8BihHo02pK66kkLmpY8EBdQaLhcvFA9IXUGlZU34A83q0b96rrFt33OKGaYT1kwe/jX2tt2DN5LAKvNVDv1kBE+PDhA15eXvDBET7wDW5wSJYGHAJaeWbAc7nVCUkEWr3eUO8HETyVAZkIcXsvEQzBwRNATHj14V273W5JlDNRyXXaw/rmtIYRMhRimOQroiAbUatMQZw0qHwDARW9a0xTrb/yNcALZw1tEAbkkoRjOc29KAg4lcLEVXmIxGBrOQAk39SkCJb9mEmFYkkSwvKZdrImBO1pHeQzCQsBEGRAbtxPBOoYBw0ABspbz70MhCFaJjgiOA7nGxVehTdBbJ9qAXIkirdq5nyN99hkUSVLUVPgCKDBwXMQfDGHrYS8zxLJnvT/yKUkpTymBgxsNkU2Dd42zLXZI9vUnqdBozVyXGJeVAtAyocKU0QaHcu/ZXEv1451AkeQWp368qnxCs1rWAfmsE1UGQpJzfGJUDXgpzVdef5GSmsYBry8vIQ/Cott4RuM4CM7UFiCu0huW+nGgpf1IIYnwi1nOCoDO/G1JHxwDnh9DSQnWUxUuTTqtoSDEYkvrpi7pRZJLvHy0gZNnRAnAosqmiQvSteFVAjEgawTU9xTN2uCNf0dlVtSWGHBMYfIHcv0GtreXIrR3e3BupnTFLKFCxFlQYGqKyofZyrujjLCTs5aJ1tawTCcd2gFE0t56cyo/BqIbSCzzoWI2zrqMYG7NV+Kzdv9jB/inA9Prxnr89NVG3dOqj7X5N3HlcykW2YTtYSwzLxukerXG52Vl9UrDHuOskkHB84LT6LFlb+Usp5l4r/jJdb4tSyfm06uTq2emEZ129Edw36POkOu3jiJFlmW+Sj0fdHKeVYGa/27Su30Mi05fw9M+i0dUPYzxoAj2mxOENN9RzYKcVqLn2cZI8VcK62XTi72Gl81guhdASTC6Udzkzbz08SUGMgKW0pbAgHzo8CydwBpYZiSTqZ2E4FUIIu92eRPwRXGpbNwdN0kPbHA4lvUjsoail3kAGH9KsFx0qNVmirGOGCUBhEKLeswEF4cMJCHA2GQm1ndIASNCDRkslBEMwaS6WqanonhCXhxYqYvG9qU9QaF9+9jBtwAvDIlH3eJWCxJ6vpxGkgU1eBS9BTeVZfXoeTyNkSxjLnewWfVk/KppUDQy8WQPBvlChDTI4pEluU5ZYaYfqV743/Ffq/SJPkdLkyPubyWwcmSr+iXsSyDos8iFNMCtaKrKEsTRpstLZ1vit07wo2IjRlSrheKpK4Fsm+rqk95vU9r0TTOpeVv7OQTfC/0ZZ1oHvvl3Esksy69L+WUldtaWSusHGsPIrb5BZ3EZMlyJbZAhE9djjdp3nnOIHqPxZGj4FuQKt6qiy5H6/cFceZiMgeDUvkhN4uX/bQoD/p5qom7lNGEpApodsLiLZkSZXWvS4Vv7k25FDfOviciLVXTYCpRd/LekP+yd6z2fanOTgqz9mOv///5/fXYc4Irk7aej/UcqZ27RqNe7OyR7D+UbChiRuXhw0VUPT+1SbCYX3Ja/A+EpOHR8UGlzOKHGAKjhPs8R1NRykS4LsN6wYYsgXUJ5NQ4qF3dBltfo7dMTq8CEU77GB0YDDjPimO40Jcg26N4UJzf6+cbhNK+IAXZ5FZ+R2GMEx9RxuB8CIrGUSub5to8GwcClvMGGvvUyjvO2e/TCZ9B2BVVlyXVGcDAHh+Q95m+xVyZKL1vPq6jfWozBjmG41BOH4lu+a4FciN+6JnThsKGYFixvi77BPuRZlqvRzKpRSSPemyjnEluyyyFUA2mUm+MD7PkFnn7p5rwIpZ24Ox7XPgdiyaVcvopXF5KI0dvXj8SMIhl1JI+6OLzkP5c2SSkwTJeXfD0qgTeJ9/XvL2Szn5aiUkABijNPYV+QrEtXIwGLebN+b84P3Be/wmpzSkvxyZT5OlBeY68PgK9BskSn23n5/KsZRFrsWCBmr7M53PdpexFEN4u9aOUFCVaPKE6rQRjjfO84yHs0xCQGlwznmNxZT7CBsPbgURoFkEjw6kFZS3kQxozXaAWRVpj6z+qxlhC137U8KbR0rS52B9YBBRizUQuxpAqBVyFeWxH6JqIbfwLxCBRDZQ6Uq0MIsVc89kiH8krviCFwAUYaeE0SSYCnA8moIgBmTxnQs/x/qAgElcsH7YU8g5MOYJvXuOIMCi0n/bBzNriUFZX1Eu3QUwnMHYkP9qUvkTLHSuM2lBlVEdaAjD9e94adQMoB12SkohcI3Q5SoIBYCzImEl6pA5k9W84Xo+DKM5Nt2Qg6yFCMY2j6TMDzlXPsCyb0+mTimxMlMSYQmqTECPaRqcdhGsB0so14GaN7VnYY0bWuWIqt865Jefn8ttDbJ+DdLwpsB40smS1GER6xHXmUV+Hm123b7Xe/1qqaiTXYHhOaG2nvNNeCC4rdwx559nHbS2ixB8oyW1FWsfaBUwPvFund8PTQM8djsJ2MOTE/UiRWlAgtS5ERw5zffUJrjS2OVBTWNBLNFmOVgmRxLHcp8U2am1IVJ2ruiyXlwtBLmlMvj++VUlQT6BAagmBlDBDqGrQ9iIGsQqaPI+wB673PhqqMUA5gnEiZ8V7KJ/cYF2i2RwTz6yxFiECiu9OSpnaqEZFkuvW5f5qp47urAVsu1BoHaMgQsY3UPI1lgKz0rALJlkLt87q3tC6vuwt9TPQGMiFAE9EbYPjzkI4EFf1m8o/B9Hw53zl3QrvF/I8IOeE1K7ghruIbTFBNTVCcl2uxFTaawntFRa3Z5L9ujM2875AG7wlOBeklY6jAIkI3jde4QXmkGvPhfP9/rR1HSYW2DqioPfTJtX3DjbVe/9bgWBGElZ1reHaeKSZ9BK/ZOtD56Fu2zTOiKReLZiySZ9ETkWyPhwQxmePYPbZGxW7/sAzj1pPsVoTZ3gOjE3HoxYVwRc0meKKZk19CJkVIQtRiNw7FVoqEE2tJeWgaeQQ3omk8ypymlb7aQabCsjT+l5uuQIawrdIoJJNJyH5qSO6WgUzWUr19mB4Dmsdf4skNhHM8ObpsVG0eNKu6ZXS5BbCceU7pfK4lk+VNL9s8RM1uSHm8fRapRzS63XBNBma19KOBek1AW6NZ/pT31O7JzrnghAlanIdVbWcmatKhYsqV6MK49ZmJawZl39wiH3Xx62elLUgAb14SsTtusp3SoKPsCgl0sIIKgo7ZTmxBAdGRZ5edrPyLZg+vw1Xm2j2+GmtSd+wH61FT1rIcBhoZJAFj5QDm/KZJ7fb8ugnKqQ2D9BTRPHepHYOOfLftNBMtDlGTAxbYH3mXMyOeclURrQlpSlboXqR+RUhsJSfEZrrtVJPebukDkZur4Ol81T21Q7zH/MAJC1lsBbwoGiWHPuHEgKDchd8mdJgyYVuwGRfnI38OMlCGkly1Y/z3E409mEl4uRTyRJHBJF4UvB3T4GWSJQmAJzsMR2jEqv+n4K7Udh/lDkEWsqktip0TFuEBi1QegbqHSeg1+rt9l73fk6ZJK/R286t+2shC0Xzba3AyvtzL9kNNg6Z6rsS/02DpW/rNR+i8AaKaGYteygTyut7harSb12iPar1uza6Vo23DyK2PRxPavWCt19h6jCSaYnOkvNNS3WRWMgsupEj9AaAxWnYBLwJiSzF74XMprOQqs1lsgSK0yC9uUPsRj3otaSg1+wvvXdctCpGap8Dj3xG1j+uifK55EW6/OIYeCb8lfqJOSuXIh+UU2oy6ZviIrLesn7ztCgXxQTiYNwqJu03L0EZA7GjRMBKYTRRCNY53RN4tF4ba8/2zf3pbq1BCwfiyY4AOJqI6h2jJVAkU45YG+K8hS0QwzVijp2yhpCe8D6V7+tkFYW3dwRDmtDKZ0F86sQzj67SAcBC3+a5R6vNavvTLTxlEG1/LFQhGIAKtsUq4nUuwCRqQiviwAlG0rifC8sDEeikv9AbIJKIuijEdaSDMu1ybUmQWFJJWUtxLaqFlunqoIsO9IligDTphcufwV2IbXinjyW36zQ0E9eIjeZ0wfrnJ8qVc907IVYPk6tThsMhUrTkSwKRi8w/zfp8vTCau/9+lPc6Gtml6Glsk7yy5S6RL3p3mHrK77M1DNfEOChenvXmR9ypICZye29LPEYrQmuVBJWf6c53OqYcg6PabtliN63JqsfmgKCVpEjgSEx2S9/apJlEPzsxbS4PJkY3o0SR6+cvGV2mXHnac6BU2oMKbW94fzwCgZBPFtdPjpykYdnGydw5BKISuLhu8oqLCplu1a+nkRNtrT7K7Evt4ai2CKQ2nWg3qBxNEYvHnHlMbqs0er246DeV6XZYYxJuUC5Yc3XqlKM8s+HdGtU99iUK0ZdbN/TKUJxlDkGUZU0tHUsrgTRnEvN5VbC1pBY4kNhqlXqLcBb7e1Yvn1+gQdcgQg5+SIihxKcuZoBuEyfnMirLOpKMUIPskP6YqVR3cpSdyfRIrEmz4Swkc6RkWqPkYrWEsrhv+qnMmVNw+YZMYkYgOp1/9Z11OQi4pZewDO4SNCTRf6i3hlTp9fzxR+XeafZcxJmk4Cekz7I8x8n759Kfxtxw61rjwwxEYNcKajHXxho39tNl42CiV7QLNcaWkxbv3fcE035scsWuUs3Uaa92Ti8w16S1Jc6EhiguueqU8jq0NCWjYCUPIWucLWTS2tcnbU32UeOm9sBzZ1wioA7qWcuJb0AkBij31CQCXAxc43z0h4t3JWFafyE5Nx/04hw8Eme6ogQqRUmgUIp8Y1Aj7RozSqA6wmp/9njvVLuG5+GzRR0HP1hWpaBYRiKK2/aEVXlak3cgWjghSnU5Cr3E6F3srGFnEUselythKqfkb+shGrJYV6rvzd8Gl81jGWFLG3aRrmQ2mNbFDJ80cZ7Eb5eTyEm0pzqT6XmpGjNZCGZxSaPuraTU+8n5Un3/DcAtvcuxznrsHDHZsq3keWdrvJCli20sga6JAXKuuIbAcBwFDTIGxgozhy2ZvPwGVxGWW/XPAcHC0en1JKPUqTqixC2k2YTOtSxiPFBY1iflAgllUn6z6TFkZzgJL5XcA1KbxDoXteP0GNfMTouJ7dJJr6nWryUC9SUrX2gxE9XvmUZZ1t5qfGFG+rekOTIH2bIw6C1+oulL+Z6rs28bZxChtQs7Rinx11Px0jwWl23uiS7pq7N5yBequnXps5OTmn4G94xS3DdFZnjOhLAuzwaji3zvgvN9CratbWr/sbV9nmWh3inYKPicamO1DliPJfVtkKxcjplb1b9bMe/nvm/s2UpuN0M/a9Upz6MnxyORWpYFmcy95dK2bk1qHSzO14uD6oej9K4EUhDfC0Jhnifkpi7vfL2m+1Kvb/T62lHCl0fAM4N9LcQpy9OfW3pln5+XsoA5Pm+vRKNxHpEFuBN6RpGOzzyvdJbz73LNVq7O1wgq+2CAJXhUIJ2BU8c9adnHfU2TkWf1VjGg9rkPu9DIW0jhmcl16VPaWtgMSSWlpimfvn9xtb5qKZJG/GE8z4/RyLM65CHEFon0am1jraxMBE6VvIzDPPqYuDY/JzknwadzP5Da55bPY2SVNisBpqrs9Pyv2Wu410kGzOXWQ41E6thfmthTHDirVhEqGwUgiBYQpFLINR5zHm51gy7u5GNbvrhHDKx6YnjkViBj84mjBqvx5PnWyezVEca19/EUsr9wGOyKZcgC7dK938P2ZLe3DPXSpHX+wrho8fqaLHSbfLRNqeHNY+9YMm0lQxiGIY1nOvhNNhv0I223+dwux3ieCJrqKXIyF612ru3ndu/QsVmmItuOnnc3xz7k3iUrwa3rxeSVyFkTLmn5aInFoqWmTIyyCKmqoRpkS9oZBmf1mmShENqy9bkZVDS+gtrAYrxvtSZdSwSH07mHaNCcKsng8cNWUt6xILv2Ac4EthQRT2OufaZQmzDXNJY7wgRSQhgRQIg5OUH2MW7fL5YM9bHyXSrjIHjVwwrf4nBzlotUzb+HP92N2GrUGomtaGtozie5c87vR2H8IhkeiWfSgOxBfj9ruVt+vx4lTOpJa/UCZqS13Yy5ut2/7lO/W23Se07LJN/3RZjsZlr1OsV9U7hKNPSlQrO9GvEgqMzjXFpUk/jGodDU3ZvcXk14uARzZdbzytS1PSVIL/hQfd3UsSOUD2vu40iegkYyl6Wu51YtfSC12Yy2nqNZqWcLUqs1YyprLVxUswc0uc3HygS01jHrHqfrFTSX2TA2BLLS4aLKVfCoP0ymvEwHIZrSkFaPREua0jBRSyl9qri3TVfb1qxTbRPS0P2k6C/yR9WzzglPpDsWHoQWFvNx2bRq4t2EkHcpJqlnJGb94btLTz5EIZfgZUJzPaH0WyeAmMC830XjIcQWKCenPWBm3G63YtA6k9C2JrfTJhhjtpeBmChxb4K5yMJwC3IfDsOeLBqT5panfZceS5D67+ARz+QZF5Bd1SfHKeieY5nO/l4muoY3gTMFyUR5L1Pvc/CgOo8z1xVvDb2xSbR9PVLbv39ak9Q7Ls+vnqtqwd9S4cVa5YyWE7e0xcsEApOlKa5LFghxvs7tTYloJK7LWZgoKOZ5Ek1m2V4l4ULS2Or8xV96bNI7UW9GmpuqWnXqPg3WkoQKRCFQVs8FLJtg60Tj/eDgN4taY6sCjqVyhGeh+2K/H3NB7ss6hbb9NHlOy3MJhWNy4enqfq3+QISbaGwpBESLMcAyJe31Na7cnJjjVlkpKkIMghzJbCSvHsr/XGQqLNEUctsOkRDvxX2iIt95wa/NTfbMRffSzBqeBDPP/Wn7BZWDKHM1+UCCaCCZkdULgDOJ0Zzp6v7o493cT0x7YQkaE+ERVi9XJph9OfY2XLOmhh62+kMLlmjBwlqSU2TYdD7+e9FX5OkQtHN9MrdEc9mzVOm5hgFIEWp76Z+FsSZ1+Ug2609ak0qVhw78pDzY1bGyHKUmOWgFWZ/j+h4uBmWOhFA+awVN1y2x0kruexr99pUgYfn3+Io1SOOJ0m5L8rUZfH3fWDs87itaYHEbstYWkGdEQNqKx+caBC4ZfFoVqZWrwjmdVlfhOwrGSdVfMi+GbP7D2fyZRDucSXT2yBaN7pMQ20cgLdoO0HpedfFnuD/29IVn1+jqRcE9TZH3EbC9ZevdP5f2cc+7ZUb8VselXqvtGc4ZYzMsw/UwR06WntuWNyBLLCIR2h2axYqyvJ33O5tKio9mm9zNEdsaPZPj+theIUnvmvkyj4mK1ozuswigrElrtF/gomP9ZzIhpToisyJaJJrYeI9X6bB6nvJ7tea5yrvmuQV9G6NuMRr9UPcmlonEwkbXq2fgaOjONTleVqmxTZ/Kz3WJ25BcxxwCYnrVZwpiG8/rFH3S0rrcZpFfS3RmqWKIDuZSSQP5zP7CjNv0JMuM7iNOlo3xcuTPYPYdtjoCxIRZa4ql9E9CbOdU733fsSWDjWiZ8v0p3RkR/5x/7pLBZulA/FiTzeOwpL7PXkeNK9RlSZt3Jd1ovAb5hQkfpd4W+d3L/dY5N3pni0VKqwgT0tol5ZZ8pyAlL+evNXtcd3OO5avL076uVbKz0NXYEoFYli10yERheCxm3xEgvbLjtaP04874cIExDhj367kF/9Jyt+tejm+I5vny3hBlcrsF9bp63b13em+Vdqg43F+9zpxrLX5z3IY+VWkUryxYMQCXxGTcV47s16209ZquiCar1qKC8FUCV/W1Yu38x8fS42MKZCdu8+M5E1JO5Yi6MhJtX6QUjMJcmAsmGzV4+lzKuxJWqHqn5UOddl1+5kh0Yh1R9651jVQwh3HnQWKznN/1dD3l3AkAXFmWOjmJ9Ct8uLm2SYkXJSiPcUoga7qV0ABA6luhjctBnnViQNSUsooZUJYlPSKmREQ1wS0EG+oGauQNTJP2dD3UfuOpL4UOo59BEiqm5LaPf3fT2C7xV2gPpgwOG2lN3FwS2po8aiHMUv+JqbIfrXGTSbtpnhByPDQ/wzqMJrID0jzric5Juj0wvSCADJyjaaf4mqV+XE1WDrJvXGsxRlWAg7rcvX0HewuV9F5WdWLmOKnFRdDmB9cZdICRRufI4aFV96XS8FI6i7DJuk5KJLkPIDN7fRV33bvg/qsQvLVIMtxi5SQL32Udc0vdjxT8ttLco2kT4Zac19F44xXQ73gYp6J/G5URT+utWmYxIeNLeam0py7othqjOdYuQY7ZKuNyI/Fu3mP6oe/0t3K8z+un0Lo37ig6wCCq5gO9iKey1ZhIBuLY//M8qC2MjnArm1rAi8mth4dHNv3N1wtRGeRX2IKnSLzuDdU7MNFbZNr2MT/P2TdU/hLhDYnFsrhMksAj89LypxAsZZKMrFl8lbSlTqTIMxG8kDbRNOpgUVza0BCp/V4BuBm72LrNnIrYywBIByKqFF03r+dwCZ+U33Ni7lv4kE+JBa1oTjwLDqZKGgUK8tx8aGPvQxvdQPCqbW5iLKyJoWKsrObzUKdbKAFlf93wr4vPXrNdSttaUpKMSh/ieJfiUxiv1wgEYumn4bv4MDstJIx9MeUh5Y5rRK8IHam2HbdgH3fT2E5hfrGG2PhTXUxs1ydPQwKl7NWYrl1orklzVKYTFyPPjCOfwaa226gJlAF/spseLDQZoS6z/t2QwhWXVt+5PkYEJpckvcm3prgnHpEFWfo5nW+9MJ3ztdVJyW+aWyAeiCNfxTkTu5aVi15oka54q1w0HnvuOZY8itwecf/lwMVHfTh8P8SCoY098/sS0nrUfN2/Ng+B4bY8ylH1uQQ59udkjrMrtX5gG7+qPHXW4tvWGn97T6wp/2xkIFqn+t4kemuuxzhLZkjd1Ju7RuXb19/WoLZa8rE1s3ZNfyqNdSQT4zXtVNlI/Y1KAQZwYzFR9ZlYx/88OAa9FG250lSmOaKsS5F75DGazjADt5jHDULkxM8zTzxMWdjAUr5auFRIyfP2WmFdMTPv1a2h1wAcq0Xix0nhWIyETjoR1cRFTGaVYO2fzSrDTAUzfBU1a7zG120TBRJRSHHjEDU4pUUlUWYv74huGxGCMELfusWBjdLCLayLxn1JWkSaQrS+KLTanZFQLQq1ECY3K0XhSSC96YZRQpJf9YxW4vl9bItVdrW6TRecO7EbDO8JTdIF0eKOmaRM5GnS9eup5iz5qtc/itTuWXg/M5ZqumxcNBgMa9AbN9t+ntvG2auOTbo+3vtEbHxVd+2mk7SeM9ZVa8ogPpc3plJjjHwuCxSSgg6lfEIECuO6hQMEkUWndDgQ3aBdDJFws29nJu2JuKnylJK4qiQciK5zgZANbkpXrdpA/daa56Bx5UhmM6EtiF4sN3OIcuyQuYJnXxD+AciLDG6R7Pq3ji5d1cIHjTn7yn/Wh319b5T3lm0pretI0wWSMIASUV9nuEZKoLSznxb8bFwG8f9NHD1lOc57TUmejtiO/WCVtA/5eaRPrHmgx+ItL5oN94P0oymT3fq6JeeO1HolTUc+ObqWmeGcKwZxuWeq1Gs0itMaW5qU8LcWIHP5PAOonkQ71xkM7xU2P29B1jDNXsnjKLBNDXGhdCDUzpE9jd1ZWBvTokfkRVNLSsO2pR71PWJa75lxA+EW9bNCrgNl9BBf2oKYyj8USW1TGC3XZhejtBYRIgbglXS6lBLXJFj+AkHW8w5VLC18v/lUSpDqD/WcdavWROX5oHcMoZJQmsWmNpHnETTTXrS5FOusTJlVnGGMGqxCaH8VHEz2vdV3c27bJBiJv25M8OTzcypyFa1nkWPxDuW+xmo90GdD+X1Vi6najWkCbWVHvrXQjnNvtxoCE8ctiHI51q5Uno7Y1sgNpM0HSnJrMDw75qS8SybKuQVCzw9pngTND5hT+YykeJSDP0mwql75QiYTGts3PADUbVqQc/TJ+qNIrZHpa8KeSxtXtGp4NCGfI7Z6rhqXVYJ6ttozapY6Y1XX+gbnKDGmSGtLY1cLbtN1IvzdUEBJT4/xWsN3Y8Yrhf1Js7lviJQrz4pT4+TNVoImkOA4eF7KQ/W+0qIqDW8iYYk4xz1KFXXS5wAEu9qinaZ+jHFjX6krq0l+lB6PriQE7e0AJA1wYgsFg/dVYlljK2lokCvL0n8ta+HBLeWfykCAp6B1vzHhJj62FSHO+vAGmSR5h/J58ZvNx+oo2GWfTmmL4KPKizAeF/V6LR6Aj6zcOZc11rkjTrVSMIkmJNNlUOR0k3eN8fTENkBLUSrVTZQ4XGVeutIEaTAswSKT1t6grqRMhCCJ1G+s3kNND5j6T46tXdRNBX159OJwL+pnUmvzwxzWXxDaWGQwlLD3ZB6M6cVpi9T2BKajcVhpmlr3nhHnZAo1Oe3VraXVLDXVgVIGkrmtzDpd0daGPw/PYaMU733Q3CatrQSUAhC3WkkBt8TUlcVUONakJj3g6OMZaxiJq49k7cYu151cSideWi0Nqr4wt3YYnauIa8c6ycfrUyC4mFcKqMSVsrhKqVaKUnHNOOCWtEsu25xWd6ywkDbOYalQSGxSu6dwTgHOOThZK8UgeJlMVms0iuSx2w/lHaTRMecGaA1xKRxoCxYanSqVo5e3jDU005Y13gixFejl8uNhE6LhraCvLe2ZliBMqOSQxG6U4+gzIQXd0HmJBHBr8CinT2iJZ70geXKCK1jqT2swGALsndiIBeRsyky36xsYobVN4fdjn9MiSylCMguuiS0zg+q9Y3aUZUy4AYbHK1iRVDEVlj1Ro0AiTpSsSJ0nhuMYIyPeg4JsUVQ41traqOFFDBpFAHsfr1Vz/IjaNshtu7LpjuZpIEbznRCcxH+yhjayKR2BevRo4xkq2ygc0mrDcXC4UT07r4ho0blsaqStj+JWPAW5rYqrI4TX9HNk5ZCs5kL9GUsUBdWiSo6JYKDS1orbV10mMcUPHYPyc2H1ify82nnT+FF1sJvY5kKXL/Ian7VaElY2toQSz403JQkr7mHu5tvy/zgDs/4hnBVaxX0nlukei/k9edzjuezBnrI9qlZriY8ml3vTlqksTVOuvN4h+FXItZJmMUBTHrBbbTgqgRo40wQr8zry+0YkY4E+359QxzlPTACjqe5ETPi4lJdcg8zvW6ieNzKu9au7Stp61cONrji3iCGirv/+o4nFmXiE/+YS3EMT2fURVd9F2xMIE0WCkztae1nTGhPztS3z3mxGWcwWvZrE8s1fuQYtTW34Huola95SUyXnES1a9Tk9Z027FM0+8USCMk0DBXsnCcgYyHUsB1MqU9qfNFwdgjiRbHHDOXPROjYIX3p2clpImAiqOcy5YoIqaYznobpeG/p6euaZKDUvi1ZiDvldd4hrAw4tw3WFRZtdWwcUl43H0zVreGaAfXweii/XJt2j/FXihcaYUPSxsFaKtnCsxjkhk5JvPS+k1069f+keTp/yjhIQA33J+iyUKwSFCjeWsZZd1uCSPlfVNHYfl7aRnN4Xp4VDNLbaTKM1WM756LXMPArNymivK+Vr4Ll4oEibqufBEqrxan+FZf6D21CnXefjGNlqYDKRU4p2aSwlVM+GPUsV8V/oLUaWpDF17xITvMlnMie9J06vIINBgx6FZSjvPO9KvDp1ZVE8WeRDAkXk++XasJ8et+9PmBpOqfFXT0QycF8Niu3fO+ed7/We+9VycBPWaKnWnt9NZGQdqdYJaQGK/pi6pNy72v0iY/ncXH8VP3TgfJLdIrfyO5DXPO7FK5N2ybODT2SNR69Ut59DCxfzOk9iKWTBol436bTL9M56REnjKSa/CPWWbXPkmnR9LFu+h6qytYl+kaf+HK31XSKlzLLwJwQzZIAxgDxAfIuNlK4Gg+DhMslVW+6k1XNSTZbr5aJgTf1gXsMKhm4tMdcMo4sLrakqHRHBiVsTAYUmOP4WE1aS81GCzWAQexD72B4+CvcIREMk/Q5TJga1pjWXbmGt5BnFh10nRYDsNNwE8S1/J1lr6LUIirKLKCr2gHBNMs3OwppwhY8kVnvyhvIKeXXg1KY5bQAcnoeTtRcHoYJjVs/DpTKF9kby405+tUoosmXTn8NMkY+UZI80vg1Wv3zSkUHg+IliiRZsmgw8cnlpuDf2ktq592vJ+3BEGhM3zudZc0uSj5PegBXJThe/XvTJscbkP/WEH/SCT0zH4RxNX3E+8mS2FRfhSQXWWCi9R5zZJksJ+5YybC33PX1Bj0eDuCnlgw/L2i45nkx5kQXQ0nPVhXtlQ5VipVn/SkFS3i9zRNQyFaeVoqbOt/7Ul8gan7N/rpAi4ZOyex4TVPmyYCvEBiZlzVESqcSDdaaXGMJim+myUdwPNVp0OfKJo5XCkFBZp+caHV05XR3+9SCwo6Ao8z4QW+pRyyPQbuek1OveOy9sDJrg+NBJfquso5QpK/riwRbLrvIOh2UbIcoWdgCCD3PMluOWS2ml1yqzylCZHNXXr+mSl/exjX14Byh16KubuBoM94ItvpeCJ74DSfI5NVjXouxLQcr+CIwFlfe512AwzEIpF0dkDygUBWvXU1e3xqqtD5MGVs516r2H0DNKQlvZISYfWR2kCgA8PG4UdGxetLhgMEUzZBLNrkupBm28dj1oawwfj7oUwvIVTQpq6kzgwsFA5UmIVk6NgeQK5aIlKDHBeQ/nCa90i1GhQzv2NlgcBY+6EAKJLYUr+nfbQg/gCQ11D2JtIUKEJA6IZQim3yJpUf2XlNY2KTzi71wTbOmNpxFbbfIrv3vXLk1zzaCYg8+UxwyGZ8Qef7C1Znhn4UrCpbVl2VT2Cw43WUJ/kgbfYHgCnGbB8uwYaQdLFC6w6dj8Ok9fVx87qq3r2BC129ncOlRMj+V3ul60pAvXsUtce9JxRFJLSpAALoboG+eATQWxJaTgUML7PMIxjudyiokXauNRiDnqXJ2W1GUvChfE8K2Zb/LHDhE6iutE00cMDEKatEtgvEJCfTg4sAsb8LCyMfZQyRYMkSJB06fXtdORa6DW+1MbykXD1XF5FxWjfuFLTfMUsaVoflwT25Qthf2QRXjAKB2/UlnBTUVyD6cQ29pfFlj2gKdflvGCfm6R7pzsgQmAenKX9v0Gw5WgB3RgetExd//csaPRMsm70vu1rCy1iVP+fqW6GAwGw14IqS2PZYLH9bFVaef1W0lS5Pf+BX9Nauu8p8pV/wEoiW5FKlv1apVjaZlTu4JxU/kC0a8ZdSyacLWPhN2TSxGKQ4AoByaGZ1LkIUZurvNfXNL7ojXf5n4To03Xa4pI1B2AIQaBEnJbPJIorCAAICdxuEAu+C0TMtESjb2Y3Mrvs/xilpnsU3MNkvs9pT4CBEKfFKMNq4yZzEJ7uOAnSxTbOObtnMMQG9DF2CUUc3Sq7YlzwKyo0s3lxtj+LT3r+RIWOE1ju/SlnnootcRmyhdvlA/le/IhWt8yBsMbwxKf8PeGJX4q2xZbrP6uhTBELnnWJ5X9oAXsjgI8MG/DVfAex7urQYIiHiUkXGO4WPvQ1t+1KTIo7qnZSXxP+cXMmzkQz5JQB22iV2Wq7/OUFWIeCGQXwbSUiSDm44wcGVkVfHo4nlJIba5pH6LJk6wT2amEIELTIn0b8QPZpxbpMxxzpKlqVngxAQMcaCAQO7zebnAkwcIQtYs+N3Kl5V777JcS1945/c60FIRcddepd6PgWkseLBUfiezLMZnehchSVLcmYowoiAkmCpDdalvENqW6ksJdzsdWBjp1BOzXdhr94IG5jZJncb21qcGwWiJ8VFpvHeVksfXlvy6xDTPEI8u1U9K99Va9ajIYDBfDAWPSSBuZV9mEaU1067O2PBwRQsyTDw0vUZ5CQepiR+1qzNNX55GJrxa2pnJR+BOCG/aOl+9BfyZbNeVCqPQfNizW9YyIZR8gWtZMaFHQqHE7FySYI8lNjEtloExsRdg7kAO9SBoOXt1zu0lEaf0I1TM9cG5Zux6rhR1UCCukjtF8OgmW9adkjHyfPqW+pydAqpzCtxDIrBDRQG71fflZuGTynTXpLaq2ZVRYTGxrp+KqS0Sz821mhlMdU+DFQFyp0uuySCFqn9o9ZSHEDaA3jrdt6UPECsnIe4T5P/Wx5z3bY0L2lvDcfWhf2ec11ec970e3O6eZi+RA+j0XPf9R78ER+dqYOsYz1vnoPjhKTy9u23fgyMWJNq3Nj2Mi/YYZrQZprZNeVEcSMrqX1TqW9Zqe4OFjZNw2Gay1iHU7jsygC3NjKsoTuGwM/KR9nFNi5dYrXKQUgylxMPsMWtu4bZP2beR8f/6gIrUaJPVLY2Um2KMLmwf29VXxr1SK09RRai2/FlwkxZbPZ1UtwlhPFLSGShtITBgcQBhAzGGrwliNGzFu5GMwMVZ+zbEfOKeaOu/7q1tDoysUaagoU4smmXkuH/s6syzVKDXLEiMbCI2TNd+yrSorIUAgqgyJdOyI4ODDFj4I/rQDxe1/4KO2tu4b4g8t6eXjTt7RVERF0BE55WQrTWO5xrYitlz9EC0pkKVdS9Hz/wvp+NQaElR60hFfGjGtWbhouNpHt2UCo38PUIltQacZ5lPdR9INz4dH+L3O4R6L+TPqvbfc+83juqKt3djbZr24B2f3w4cQCopLSVakVp8EsHQhtiTWw93wYJnTEWakZ7TjVneoJXi0oG9J/luFnzTag7XOe3v6rft0oNGguXRJSzfOe3ptme5JKrUsuEravtG943Wtjj3M1SX66hGx6oyngdRSWqwzCQGSfELkYtlj1ge741Qmr+cSFW2f4m8npJxDijfWGjlASLQmwbrOjaaQSsFx9qVM5VepcqPeaf299zXhGPWYSnP1ZNmZF/ppbJfzRIQbBaZPQAxiJM8pEFPvsjDEiUktMwZHGLxPqjQmgF2458aMG3u8St2JwM4FjTkYNy/bQoUdfdOTU5rLrnCGYiAm3QyRY8kzHj+/SjghrwCya2cQUDAceciuyEKAHWLjMOEW36NQ7hjVGIyBBgxEGBC28HFwGBzgKJJaiFctpwI7ygIFSkIChurN5eNmLehSUcg77dXCClPk3iA2znYkreqlPDNArpmgKPUgkTjMdaMF6e6622AwGAwGg8FQo/YP5IqULVWYiGmoaCnX8u5W8Kgl6K1PNWEX3pXIIWcC7TmYuYpvrfdlwNNAsDMxCBmHM6G5ovYthY8tCW0iCEkRqNo4XxrrE7OI1zqXiS04mFRzvChQGuxT/nRAicSXfSSt8znm3VjmJ7Pu6McJjuROngnUc07NEMlYImXKD9c5eO8xuCCAcKSEEkSB6Hog+fwSEqnjJGzJRa7bTMcXcknjms4WZLUmfHsYTuT5E0wpBIpyzsXAUaFsg3NN3/hJoVP8dGCQ673D+f1liu/BBq3tJXxst2kIlBoWenApJRTo7kRlMBgMBoPBYLgHJiMuN1Cb+M4Rzj2a9CXEttbQzpHa9MmBAIk2mZlxu90S6QyRi1UU25FymUffxwbEivwBEDvc4GcaaZswVkV+Hep2I4jhMwHB1FTHXAqVUlrntovgMZAIvEIGGbUCq9ZNJyKJHPApE6t8FyMQp5hs0jAyuRBR2blAMFNJGEwO3nl4ZgwxejIjatRvHsyvyXy2pckuZAmNPpbKTSjInJBheWwsadXJHCBfyG2ZBUuOHAY3BJNkcmrXmaxBT7dMdAZigFzeZqmFdLsSrmwRmqzwsd2nld0H3WX176TxTuUpfWz5kAdtMBjeBo4wT154JQA/a4p1CVNWg8HwtJga05aSwNFnND6cSoca7lmjSL0LiOFUGefWlX2tbVmO2v91SZvMpd9zg2ulk31mkcx4U8TlSBDTXrRFOvl+KkxPJThQ1sJG2hx1hZEMKsrnijpppRDFLYJUPdRnIHiEQbWjEGEWbTFc3k6o0jbvc2uR/uiTNjXULminmQFHQ9QcI1mfe0QCH9u30ESKZpIBOE5m4Y6Dhhfk4JyYV0eT2WQxAMAF0+xQqsA+ffxOPpTnFSGK9Y3yeyLtotuj9942SbEIJGpl7kzz9szl27nkFnNgODdgcNIec9rTzNVEYEAxI61kz+Vp5C4qZGx3xbyExraH8kGMCa68bPkykSDcp3wGg+H9YclkXU2pBoPBcAm0ov+WfuMT41v0mUNF4nqa1R5R1XnWi/5WQKZWGr1zNbFaI9jske66nLNphYsLUlu0ufwnBDKZmwZzXyJfpkWZgKTox5Qi0CTSyRzuCxpXpVVT9QhBpuSQ8seM6TkKxFZMfm+cNbSeKPn/jsynVR/b5O/OWSvtvZBMQIfODdvUlppz8VOGbtsoPGBiuOhDHghkYFrZIjmSYe+D1lS1g6gahV6/+NycTISXDw63lxd8+vqK79wY31HbBa0xc2cgCTyqBk0X1Keo+qyR6pDMpFXQMUCZapfXEyhWO7ZlJKb1eFG87+qvLt+orpNNEYn0RiK3mNju9YMdSf0WmnRMSTj0MdfTbRsMBkPEERrSRQFDkmTTxiaDwXAelmhB51AsuE8esnpEZwlpnVpLtkhDizD30JsfCsJ3wDxSl8VRad5ZEkOnCB0nkimEwydBAHBjgL0H/A23SFgQhREEgByF9KROnEmMkNukYUOOaAuS9hUNqgQBymkdD0rEU4XzSvDRNDn5ewLw3ieSTc4FLSNT8O+MkacpWVTlfVSDFtgnn2Gi0HQuEiwRPMRS4SXmF7TEDs6FyNYv5OBegJsv9x4Wra3HmPgV4FZNJ9qm+sWjo+3bUn3yU04CLVZ1bJczCE2898W7kD6r4HOjNArjgep9dU7ENSg9nNfhLhrbPaS4NiWprx/ZeC97tAaDwbAaS0gtIFJz09gaDIb7YkrTOXfPOtTWcyvvXqF1bZ2b0ha1rl/THj1/3qOJm5gTBwvXHLDIOTEFV3V1XGgqhXQl+KDGC5dyMk8Ox6NZJwAil/IS7btzBIccibqups/qXGUmy4mTEOWiJZPgI6Y9YY0d+GimHZ5VLDtL2RjsS7PsRNY4tgv55LfqKJqD33ySBQwDgSMTdc5lrXqsLce6MnkgklvQgBcAL6+Z2N5iYLDw4ITa9qu+rH0QSzK+b4oJiQCjJLa5dcSdM3QbVhrikKKY0wP5/cqEX0VzbhRAtg5Kl9Tnpa9GeczWN26zxnaKaG5Ja+n14/vk+PieXD5unjc8N8706T5D8tiV0K1IYwp7W2PP/UuexSN8SXsCsSPS7qWZpcLTODcuwdvEUr/BOUw9m+kdHafveTj0wrKSlC/tYc/o671VMzn37j4DFpm/TpA0FltWAMy5l8iCk6MGblpD6lNHy76VSOloMrm2jadMk/X5JYSzNrVehnKWrr0J2QNwYortIlFUfYl4NN9kU2MEIslCFAjODaq+oV0dxe1TUp3ip1NaYirfbEbQXDIHBkKR5A6O8OpkTPMIW+b4mFeuq8NQaDyLOgPwnpIG8QYGR1/RMOg4DHH/Uo7er8E8WZldbx03OeuEJ0HKN1kKnNXN4XhkSF4ROgAYKPZ0FvNaMQMXDbGH94AbGAQH4rClTdQBw0UyLHlR1MU6OLww4zOxvW4I2+MwPHzcfkiVuFEn6p3NT77RrVn9QxSCUAEcty1NjAlgl8tNSObGhOhXq4wD0n0sAoL8bJPftXMpLRlfKDasBBkj4lFQrPReyI+DxuRNxHbtgNW6fqlpSOn3sax8hj7Wmo2fkcdWXJ0MnN0PJ9Pf0S7XbtGALe26L3DFPqRcOyZ3D+srJ933aKzyn6t7/QIFVDBbewwp6uanJONpgVAe3p/HG8AWn78rYun83dJUctJmOXVOb7ED6IXrRAZIZBhCjsdrtSXmxi1TRo2eG1p9/5T/7hLIYtzDTV0R6Awjrt7jJ6gqz3S+mo4SAJdCxMa0ycO5HAVY0gOQ/TtrwhvhKS8BbqCkgRyci+RGbdvTILAh2m2oZ/hfPgEmBzAlrSPLJwGgHGos9SERkHDUWE606Dwyoe5fFTC6rm7ESFqlDZ0InylVWxTfIATNNDOC1tdl0hf1llEbm4N1JUaMEHTrAxEchw2RmDmaNIc/LVxa3yp9yJvM6s9T2FU3ZOsQTNGDwEM3F0VSq98CKnqujJ1jAaEWltSCl6JgjbLW66S9a9JLmCIbDAbDFWFj1zuBPWbDO0LP5LYmtSOtKTKRIUTlLcfrGHhx1F+ZFiobZdqpNTcsecl+r4FgjE1TKf+JiSerpf0qYRciXZk6H7RuQQfpABKtl/hgBsIixfeaWSBvc5LIoiKplLaxySSh1AYjkTAJDlUXPkfSZSBuyRLIWaCeQ9TKBoWevl+TEVakNhJ5JnjPuPlbiuybLte3H42l3agzR08p1ORfEVVG0Uj+lwngGziSUGIf/HMpkL4bAa+IpD4mkFMO2wJRFAhoa4YrQPyVddNI/80myiVq4U3dT0m/xxeo6sOjImup4llmgwaDwWAwGAyGUhPaW2u1tI+i65GV8QCCV+m5WVOBepEcjpUmshKgJpKtpCUmlInr34rURpPfpayrUow2zwdyAxAHf1THaoEfWZiQW0RNXSaLJFepeufowkRqKxVStRLiXATkKY17OeZLUQBAzBjizUHbKnnkdi01arkc7KNPbdTsB4Lucbtx2BN21CjdZlUXrsccP1pikTJpvRB/60BOEvFXniNiOxAA+GAizuL4Ga+RwFIhyjAgzrnhQ+3YMuMrfF+wkmuo979hAj0SDEDIbD5fWvNeQ0Z8N2JbmzLX5/aYmBoJNhgMBoPB8F4xtYZq+6SWZoT1dh3cWa8VacviPV3roqqyjZYGraWp1DFSvKe0XQ37YP7ZCiJVk/Ul60pN7B0pitcw1wVXmimxX0WrjXK5ACQfx0R86tQntLV1eprtFQRE+fKSo6y0nrb9TJrbW/CqjNGEOWyLExkes2yfE66ttfktJiNav/QcymLfDS1SW/h/i8BENOpFVTj5OjMI7G9g5+AChwUoGvE6EWYEoUcyy4/aTy8my1p1f2cwR79obTGgvoW+Iv06VK6nsa37dtmmwBpqO3ZFOKaNNhHbvUSyR3KPzsuwHtbmBkPAs/vjGQyGt4/FQdMKP7hpre1SLS4D0DFeJZqsXp+mQHqkuVbeWqYwRRZbxkisZPtV8Ul8GVwgWzef9isNZCsvqUsTy+m2kCW85O0o+CEms98RlOchpdbL6RX5ZjPorNN10EfC3fL9ls9IG4wKXAof8r+ciG2sSodbRL9RIXaSuw/a8Ztoa1UliRwcsv9pKEr40e51majMxch5ZMyUEDC6FE5IED4CwI5BPgRGYnIQD1sJgORT/+X08MWMOWiDb4HYEu5La2tZBse9eUn3GBFAeDCHDZscUTBZaHa9LGiS9OcCva0qcmP82dM3Hm6KvBRXfDEMBoPBYDAYnhUtH9ql14tpYnFP/SNquIrAa/K7/ky3RzrsEKLQCpGiAZ4Z3gHeA7dbJLcc9GLkyuBPIRJwux7ZJDcQ6kBdpteasvdrvr/VUllo4Aq7Zkq8lCEacX0+lHMyEvW44NB6t+JaDlrbKUQ9XSBgFLYHIr4B8CC+xeeT6yEBtQYu8/Ki0Z3MaR+m+H15wXZEJbTKJ4sLkmY61tkRxe1ngmk3E6vnyOquRj6Z9z4E0pc8Jz09pLwlsXVwcOCotRfU2lrpflcW+F+K2E6x9F4DElHajLl5HhPdLZlkVGY4DSnTie/WLHrE/cod6z1gacRuw3vEowywMp7RGmaJoPKoLX/WQgdtKTQ6XFz0lLhiXwDuI7i+onB8TmOxRMMxfX/pZ9nyo+uueVrXi6qRgeysGI8lTW3pRysa23gq5SxbxIRfDuyyvssLSXYUFuIUNI0hqFHtI1uTy7oikpjs8Upxn01NwJVutEE6SxNuRfhb5sSRdMsIUpgjU95iqUluG89y8unS+BlpUBQahAYOzyr4TbM0R2y3UKMbHF7zpamviTBh0TQ30Rdp+lQ6P5kBUyMB6miSpSiN7ZSk/8XOLya5nhneM4hcMs/naJ6coj/LzEDS/xEJvzZDJp1bF2etHCQQW84nvlOecYtbNjkfvcFVAZwSFulu1dXSav68EXu0tpcitsD6CXZ+kYOql8jm1FPSFfWwOJgbUOv9KVI8C/MLuKsuSN4jzn4WZ6bfS5nQl8ruNRu5Mna1ecdn5C232Zl4FKkFZIFSkdp4RK54RrR9+tbdvzf/R2BJX3nk/Don0O8d08L+tvA//2Z2VR9oG05Kvxd/V7m2DMozX+6Wv144KSRJRWyNJCErKW9Cf8O5EHg2ko2QvuzJqsvcQmvP6nQ95asaF4UzhRqOEjmdy69J1hQZ8wBuBaft7a7dKF5UReq66xSYkfygCYHUDmA4cvBxn15Nw5iAwQHk4z62UUvrYpsPyMeLnOK62fGtEKSkViYKe8x6l0saCWZagpNP2lOOhc9+2SHQVdA+u9iGXGY+xYlZtliqngkRJJIxx/8yBQxRplPf0gIOzwVx9GB8klLgZP4NAAO5sN/vidOFft7ZFxaxfqJFDg0U+ssA3FzkOjc49uk9Gin6lPAl71+btwyreQkV5RiXS6M+5pzbNKdv2sd2LR4/gayTgeQHoyWHGK/+z17HZEGP4UnwjIKGuRIz9ZYH1xWw3KNM03mwXNA+O9NmRnrX4/Q2O5G/zvXVI+o2l8cjye098AxlFCwp6xL3LO3/ljWBQLm4GC80RqIban9PioLFkEXy9Nn6XCi7ukYpCTkmxpEAy2LcuT7JlLKv2vu2ZF+FxjmUZaYdllijxBSF+NXPbrZodUL6tyqHfmaOs2DAFeRcjoW6MYV9WX0UPBBLACrR3AaSlElx0ApxNLMWu1+tsXdMVZ65XYmiuXNx1iXOClDwDWaAlac3c/B7FUHHNLhNDdRzdkRww4BhGDIZj5yAOEYAhzxa0kpweERSDtHs6uRjKo3iHTHWh+BVoxcplSNXW55hEFwEYUXc2Mp7DMOgbhcLiNuozZrrmcaYIWyqDBhV3pSEGjssIi+nsTUYDAaDwWAwbEMdsVSwTMkA1CvXrG2hxvnjJP79Naxo6/R2JWIWCwjJdk5vjdMnNlrrmkxrt2LCCjBm1QWDiroToSC1W4Sg+r4+Yadkeqw1i4mGRNIr2lSmEKzKKX2mi1piVtsSiWWuJqI6LyJgYILzuiiZ9gX2OATqpYlQ1Bh6ZrwCePUetxi5mcglchnKngq+GFlgEcraFJJQNosHkLTK4bvseFxpyuUzv0oPQ90bPDNu7AEieNl6Sgs/nItCI6gKtKF96LWFRpBn3Edgb8TWYDAY3iHMf/+50H1eQFos1ZfNay6W59PMeyVx6t1vOBbtZ9N6RpU+acZMsP/M5kgYj/poL91SAx3SHwW8imSna+rcSbeX/2J0SNScMTFVV1DUigayNu9v3dI8l1r6Xv7SZuMtkhgE4hAPWMYWKWkwRw5bGVE8T8y4ca4NE2GgqOEVwkOiJyQMBAwNP2iK/s+DkCmIf7YDs4f3HrebR9x4F0AguiDJu7GlUqPeLQFOCmZGLvloe++D0CTeETSy2XRA+l/QfjI8jZ9HzKBWme7STPZQW26k4yn7sow3Vvap8XmJ9UM27+dFlgdKmhHzX3BHddGb8rHdgr40644FMRgMhjeAq5qXG9pIGopKE/AM05/1tXNQa22dc2mBrrVymTTIfe307hEscW3AuxbBXYr63hCAas8bM90uIa+Z+MEsvIcA50DRf9Tz/Hs8RfTl+1K0ojGH7YQ8CIyh0N7GSNKO4H0gwEHbF86wSNvIB4LqgmlvTjlHop6qD5EIK7TVAHCL2r8PDhheHIZbIGaeYsAnFo3pfF+lqF0sgiSp9ijaMZrFE+I+t7nlFNfg3EZTApzpU6cjyV8UsS59033SVDvnCnPkkEBDetrIg5DJcRAYSPuNBWSFVldhmUvBGE9PbOcGtpr12wRqMBwLe6cMhsdC1nzJ/E+Op5PXhY0fx6MV9AUAhmEIZpxVcCnnZPEa9+VcYGq4qVwj3eR+JJ88zBOGrp55th/2S96zel3CLbPZsRCmRBEXBRpaZHbcLJtEOKaqnNKaOlIuB1NvRiKpHM2TX4hwQyCYyXwZDKIbnOP4V2rUs0/uZOFikKY6zkfQAjsH3MhhGAg3JrzePG5MwayWoxm1qlPxjAvhjjof65n/LdtKznswkmktl72DJWKzNKEoO3t1PQktYZADcpRnZjgQPgwveHEOH4jwQoxhGIpAbPHimTrEyjYealJWJwFaTWpLcrtHyPT0xLZGe3CKUhabPw0Gg8HwhOguvHm8cIiHj83nxHsNx2JKuzmKWkraFFUO9nrO9gUnL9KhrUuxtHmcSb9TdHJ9M8sQSbeXdA5g1DrbfzVkjdr2qT1eHKCLpqP26nxLUYETzkc5Ui0n82WCd4wBweeVIZpdH7dlCkGYguZOVyyGtZ4qWtJys+JMhMHF9ryF8c5z3IN4CJpuujmACB7TZF/KQiPS3GoipRxjpH1sy7KWv2T7H3FJTZ+ja49Hz7LBEWEQPXnSvBNehhd8cA4fCBiIR1GRDyzdJLlt4dSoyHsrd27Eyirt0cw+N6jUt2dzif5t3JfC9ER4+pId2KKNvkfE1a0LnGePBrvWlGrpfe8ZcxLd+QQeuNieNEXat1Q5s79slfwfhbO29Dm0PloLEBdmYeFyTpstHU/rKWdpz58z8VyDs/x572EKO5XnM6HnpzrlO5sP0wypPb5sh6Wt/m2BxV5/8v59ZeMOQVN7a7TvhVLuiaknicpPnZxKf++YLaS2uF/MQHKzMYJPLTvRhGYNHTGFCMsIAgxpDodIbEEjEksY9wmO5UlCEK6vj6kSB42tIuQv0gsoBJMq95ItibtDMI3OBghBsCF5SlEZZdN4hFdkINVndNNxqLuEIiOQireU4gKrxMNxtZJH92EvgDaqyG0WMADR75kAoiR4GIgwuNAu2dqYR32KWLonSfcAKGjxa/92osy9uOJhI1I7bhJ4v00McBeN7amTAzFq34WiaWl6MB0HGqgv6Gcdcp6u25wkyGTbbwtv1VdMTa+T2PqGL2qtmTbt5X3m09grsjpRBr8L99haZmvelxCwVkkw+7B4Yd9fOJ85NkwkLQamU8uD2TlwSdY7SfDawDiG9W3e1tC2sGwh+YyC6yV9qRcIba7OQuqm0NP3JmKFvB9vIpuRdEjaSYc5IazY2sYS0EmXqC63bGGselMKlDQofuKTbyoDPizTSUhjEqQIk9Hr97KVokVxSrfejoiiLzL5sDGQh4djjxvdAnFlhxsBEqU4ZE8gchhUXi6t1WO5mfGpc+CUHwEIZBkxoFTY/5dAToQKYS7wHOqf9gqmSOgZSKa8zGDOaRdPLPHadc8x+7MyHHziHw4hgJeQ9hAMTAitCybiREFQEPMWIU16hrFtiGXfWxfScS62XfSFBsER4ODhHIIZOune3Q78JiRZBBHSTuP9t5fhaUyRuwNxb7yZkKLVA/1p6M0fhqfGWySxPfS0zXtbYvNCCfMU8orkdn5fwlONzwwHY+mzetSYod+Tqb73CBNk2895GnNteiS5HKV1Uj995Jy5tq+tLWtvLlpigt3s6UrTJ1c4IO0lK3dSRUsLvetsP1KPO2pDR4VppREPFUGNGaDBpaBLKfhSUjBJICFEglyTHDWWjjSAKEyZA8ckgHIE6Ju/xYI5wHPcexfwlHgmiAL5yqbIkXApwQSn4/LcZF9chPxAQfMZAyyFsoftjpgYr+zhI5XmSM5IyG1Mz1PHdF0T/xFmJCgAwrZHYRsmJ4QU4hs9/gtkmGMZWc1nQs7z97JknNsy/QHkkD7T9Y0yF8SVgtDGq2Bd7zoqcg9UdZD3PFEaDIbrwKWdANswYmswGI7GexPIvgXIdjoJXJ/X1Lf83rh8nP6oT1DjW7NgoCpybU1q2ftEjEnfV6p+czlFGUXF0VjO8nov++8QReLqFFkN4gQftx/y0ZfYkcsEjESLiGRiG2yIg6DgpuxiJWiaaEI/OMLgKAkVQKLpZDgOx70PGtw6uvKtGQv6GIixc7IoZaknR205JUI+kEv1QWqzltXGvKWD7HNLxEoTnE27W+byRbsgCCK8Ov/mNbaCvRGOr+SfU73qbwomQGij1y6PbjNb8NwfU84KRmoNR8F6ksFwLvZO3a19aDW0LycAOI4mm0p92dqqJ57qgkjP/eqzYe3YXH83tKqFtnZijmuaxNfE1ZdazWK+jBo+iizeVSSbwRg4kFYvxeBAvgqNbSSrwQw3MFzZk1ZvdJP2t0Xwzf3gFIkU0+Gg8Izmt0PYfsh5eB/MpJPWOLUbpWjT+kF13LXD+epZF9viRCYp0a7DtQ7swr7B5CQ4VDAXTq0ak8waeM7/svoevxEoaHmjoMBpYYEWGiB3Ea76aS0E8SQW2/teqKcjtjXEAbpzBR5JHuc2xn6jvNawEo8mtY+EEWqDwWAwGNoQEib0giiYwrL625V24VsshJUjw6Li2sKkW7SYHTclYXNbXCB6+5gG4hn3+hWT2XATwIzBBY0rcTSzBQFDGQmZgBTYSnxBgw8pY+wMFM15ReuZlOihDbyqJyM0XSBqBB4cPDvcvA/7JcOB6ENqQuZQBzFb9klzWjRUrvhEO5KwfALAPhFbIsC5ATQMeHGh3cJetST231loErXe8rjS/r2AMNNAkCk8nyH+icaW4UHkwzZN0WJWfMYLK4KK4Pron7zGjH4KT09sA6jDbR9LbA2Gtw4jphuxZDViTWswGAzvBs0gV4XClkCRJMjqVmid+PKOOOSKeaSYz0X3olSIifcKEXROla+ig9HnNHxfZodUFLUTGEvOeM5tkM4Owcf2A4c9gD0QwymJkEAT2/A5SFCraP3qQE0iloIkFfXURDhu9UMhGjJHs2YG4eYcvGe8sIPHkFK4cSC8ryTGwGVbjR5fY82Vyxd6giMChiFGcCZ8cC/4aHjBR8T44DiS0SE8F1/WhUWmwZJX/GOGIx+CRrkYTTmR2tz/ggCAlUY8c+deH+BGH9kS4PCJiO2UmGJGYbsjaVtUGgyGM6C9WlpgbPMtMRgMBsPbAaV/FKlzUOw1Bz5K/p4jXWMn/Yo45Lg0WYOp19iSrfAdJh2Uq4pqrClak3GjynuayOayZQyIwaHiX7QkhuOwHRD5GGk3ESa1ZzMQgyZR3OImzsrRb9dVc3NNuYir3VhItJsS3MuBKZNaRjAhZwd4T1kjCuDGhFcE7fKNwz7AI16jzIFb5E8+KT6PwQ14IYcXInwghw9uwIdhwAfnAzmlEB2a4UO7xbQ8UfTNjXsrx3ZDJPRDtBgQYut0/4ltkvoQhS1/Ysv3LROVgKKFNeT2MvvYthyL88PSxxClAvlJkO4Eo2z6jcGdS/KrPWFC0TIXWAMjzpfE1r1ol9x7ZZy57caZ20OcvV3Iuc976v44tmxI/gr7VO+NMHppVLOvbFXA1eLzqhiZE14Yel3wDOU9EnPv0JnjmuExCEOLJoeaVSoCyPE9lqso3yuatXi3SrdOJf6mMrLx2O11ilyGsoX1ubJlra+X6MDNvEsCF9IqNcYadZeXQEcuUse0/SaFoFEE2c82k84UP5oyWSOELZUmGwHB1NhHU9wWpC7MwTeXI7nT++EyggabAbD3weSYAMcexDeAbqG9aIBPAaaCryxIxsGyYUK+PmyFRJy27XkZCB85h4+dw0c04AMIHyhs80MuPjfR8jrVZ6KWGZQtARLHimbbQr8Ivqg3k7SxiO4pPXil923ypuSn2ziOxvEeDiW2XTv7rSBE1p/TSq95Crudm3HO6Xp99tNl5/hC7cxg3+02ORnugEeQ2iU4Yt/TR7xDs+V+AoJ0Bo5evNdpH/Gsiat0OE/0+82HzkFdtrXtcNY7sjTdloDqmYWIhveFNe8PAQUZQhRw5o1n8n6ucl0idJF4pVWyEBdArZvLskjQH30uuGpyV/EjJSyI7uhsRQSrtJxrDZlcfuvY5IovqvyX/TrDvrovFAmpH3utEgaAXlJGon0soQRrAHC7Revcqe34IsmDEsqNkiPAZd9gBuDJ44UYLwTcPPBpoIxI1D0wYTCFJ/0K2VIpkMiwJ20gqA7Ai2N8cMBHQyCzL/D4AIcPFE2UiRCdiWOdoxA9BpzS5RXCLP676fr6oVDsj9KHhNRGH95Ajn3gVFFeIxbQzjl4aeMDpponMkWuEcQA7W5oMBgMBoPBYDA8JyK/HB0LnCFv7OIUiQpkNFtlBHLIpdVDwwKi0AtrQrxTqNVTDrXW8AVmhFcOiP6sUcs4IlwM7x08e7Av90Vl2Ww1sNCGproSBBKl7WhIpd+sldKmt+pHRKAXHcE5PEc/eNy8x6dwuLEIBgDPNzA7CNH9BCEQ1e3mAXAwySYXt9kJ++u+DANehgEDEVyMTh36hs/BtCgLCLNmNPWi0MYu708LRD6stclV3XqqQGmRJBgoLAumhAXr8cTE1mAwGAwGg8FgeOsozXRFs0vK9FgwOJcIS4g4m4mqJq0AQMyZwLZM/ndaRXWJq/eBmPbun7IELUy2RVFYW6UQHHEI4OQqYgsXtaLa+kbTr7JeziG4kFK8cIbvaxfKGmlrnEguHeIWSUTwzoWgV0LWOfrkRiLoQXhxDq/e4+Zu4flQiHAsJuWOxJJVCuPAHLTAjj1AHkSDqnvWujqpnz6j6npDeX6i9igpK9IvuVOib+cruLhnD56A2Jq5keFaONME7i2alj+7yeBZ5e/uaTwynDII9vjAG54Lzz52GAx7QZRNYYUYlENcpXlN5sTZjLYduyZ/1scE8+/fzDy14PWdigAtdtDdMrh2uYvkYv10O4RPht5MSCIBZ6o3bgtySNpx73sBHrnvlpL4dKZyFM26CUFLKj66WbEZ6hDDM2FwBO/iMc+FVtUhBNWCD9e/goOGWrL1of7kXCKWJBpsCjGki36THgHB10GzdDtR1a+i1lnS8RJxObWS1g8Led8/f1+O2I6lRTD7YoPhyWGBTkrYgt1gWIcjAsEZDFfEXIDC3PeDypD1ulhHR54hePI5joTcz7+HJRH8V8Xf0YeqfXS713by0eeS6S0j0SomMR8WopmNjcM98Sjlcci5mTVJr00r0XWoJSXtqLjBShXT5kRRq/4Sj3mKIZxfwnExXSaOZure4zX6uQ4g3MjhFn15nWM454v+4CiaQDPg/Q3s62fE8KijQRd680T+nYv1iVrnQHBJpRTD74rBAQEQc+vU3tvWfZcjtgaDwWAwTOGtCTkMBoNhOWptD1efYzgV9TYo5oRECSFqk9PopTqZdGlo2oZEjW+e416pJYeOZZOYBrOQvm5iyPukciKLHMsR/0mtW+oSAcTATa3IxKN8qE/4xQc3pcB5W5ykzk2knuR/SGysEEU5kkUJriumy5S24k0BpiSi8yvCXrkOgdhSDCal96YFfIjY7H3wTVYq1kS8q7qoH4GUO4dhcHBRWyvEHUl7q6JDK6NvIeaR1262WbsQsZ3rkeVPW9oYDAaDwWAwGN4XNAmqv42vdSQmzKKJLD0bp+6Vc1PmxoFsLViNLxVGtjS4k7cqM9nI+pYQIa0zFILL0U+ZEzfmtKVS+JVjUqegwDMa2Tk9dmlNTlXdXb6itgZmxsCa8lMmjVK0+IRvUVsLBm7sQSDcfCC7Ye9eH8yWCZHYik9yCGLF3ieSKYVOQhFVdm09TjTADR6DdxgIYI6ezBRDTqkozKFo2RJHTMQL03mV9lIctt3PVjMhUmGn07H0T4BD+fomSceMGfs9YNqDt4PaF6XGlB/K0WW4Kh7Z16fa5QgT50f40C7Bup3b7ocl/r+P2h7mHu/PqP4kC4nteRMIxK5zBW+W5o5uY85zqNbcTN1/oTlO1pSAaIL6rX7d0XQ9jt4bevJdoc1d7VQc8W5feX6dwsjUk/PCV6hMiI3bTUS94pWGrHvfjD6Yo2KRow9roeEM5q0eaBNWdXxM03MBaLKfqnpwOTYsgShIE6kiaY9AdD24yLsgqkJAeunPvEVC4lJKnBIOW+6o+aAIepU0oKjGbSpmJg9gED9XDlp30dwmc2yEfhGCTQEDHOBCe3qmgnTmgsY5MLW54m5iRs2yt27wBSbn4BDyCMHKcj8h5bMb+jElzfhc4LIp7CK2+oXrbaDet3vHqJOM9tkKR/N5ff90kU/HPSb8Ky0q3jt6fdzwnDjrmR6xgLoysb0X1jybuWd52KK2kUVKe+MjK821GucPaPNCqq6OLRHYnbJH/RZo7UBc4E9qmxZqcPrZbXugz0ig3jqe6Zm0gjiJIKcgM0v6OI2+TJwfYxQ7qHmvCxF8fQhipMdhqsu7EvXavyxceWrV003mruEunw5EUlVlmcf3ZXWZ9UuO5DLrWMtMvQegCN8c/9LHhBSKny1AGCiEdL5FNakXYhptwYMmN5ooR2IfShZ9eJXyWJTA7YrJSU7lGYYBAzPc4DCAMSDE/HJA9HNOrQ7PVBDvre/sZmI7N+CP9siqSHB5rFyQtAJIXXOJZzAYDIZ3j0MmKIuEbTAYroU66FJxDFnbyAhRbyVa8FILN02EnXPj689Y/E+od9OhnYLKJdDElrJ9s+aF6botIIRgTQTAkUt+v94F6opKEMzguN+vzjeUifJF8BIxGaVgFFLsSsPr+Yabc3De4QUAEwUT5Rhcipij9tzfn9juQY/kkhhfT0zoRmgNBoPB8NbBxLiqlt5gMLxvNDWE4URyz9CcLEcfniYnWsnVdAuq/RJPQJEjK2Pqk4dirYHPAZpq02R17Zq007csKnUE0DAg6GF9ujClzcosG2VIp9LeJ6daP9mWAlQIs7/5QFpB8APhhV3aOkn2Uo40P2udqeeeM41NxJaIYvSsZeiZiIWw2QAwEaqc01ZVBsPDMeeH20MdYt9gMBgMhi2w/ZzfB2Zjf5yYt5DNRX2JCORCICMpcyArfXFdvd9uoek9tQsrMp4sjSlqn9u2M2ssV5euE9Pz1Wx2x16uybsz/Q4mxkwOINmHd8zfOJrGvrIvfLZrX9dwt+w5q66pbcPDiZw2AE8I5tCeYhBrB6eqnoJ3SR9YwTM1NhNb/bn0+omz0KbItdRGbjVJtsFgMBjeMnqmyDYHGgzvE1NBDnOU48eAEQIFBd2US8GDbjES7hzm4vJIcKPJ/Hf4TVcWvzlvlfaZjiHhmTbKJfxQke0pf9oWgn9tFCrEGASexJM1xYAeZcpiOUsONwA+RkUuGoHiPBQvZXCInJw07zOxGhBMkMVsneDhpZ5M8EXpKPj4bujch5kir/W5zchPsUmYzeXIYDAYDG8cRmoNBsMUponMrvhMu+EQIh87AOzKSL7PFLCrhanyL1HqLfUtHmmB5d9IaNda+mXzcPlNcOQQN92Ju8yM6yVEnl0wDfbEkRArrSkhkFEfrhfey8gE3PVMbCn7/vq4T6+LMZREae1LB+NNHHAXsV1qotBX2BIo+hbpyzif3kVuD4lOaiY9q7Ckzd9rmz6z+diZk9RZ9V6yfdOZ9XrkxH7lvnQG1mzd1AqE8lDMFGHRmDqTyC7txkn9+OoL36uXr4ftQWf6Qhagry2aTf8BY/0zY25cIwJo2/p/cf7j1LNfpktavFBOT2HbFh/3QJ3bz3Wcl+YWgQSlzFqYqviGbsZJXdp/B1qkdBRLqJePvq5+vpT9jl1Ugbsq7doHt87YsWhFoQhyuMW13D6j7ytz3POYAKKh6XJKIHjHuN0IjnwMFiZ5uC6xDdsE+UiGAzHW1WaI5jjAez5XYzuOZKwKRACoZXqQdOl9G3uOD04/26UFW4A9A94lFj1PiCWE4r3hmUntM2JOYhz8+7f5cEylp+H9mil9PbZsz/LW0VsEnrln8T1gGl3DPcAtU8Uj01/qs/lkOLNOTc1ezC/MM9ufmWj4EmZMcIt8KOyLqg96MNgFX0rmuB9qigBMI03XVF7MjBuC4mvqBlcnoF0XGeD63mZNOOUnNZDjk9xxZu4lIrje2kP+yEXT43IfdCKOf9JcDa1uSxMYS01DaOshHiHSDJKy8CoyZI7CERCBvWqZ7AuawkVRJM0vQ9gcqC5Y73l6D9yY4D3jRlnbL21A5PL+wvKvFH1FBz/IFDk+psmM+7YShGOJbJHzEy9knhXW5oZnwZF91fr9cpy5d/Aj91w9bd/TpeJ/g8Fwd1D5zzl5qLGlbb66I231nTGfXgqky6VZKyNo/DxFzV9MneO1kn6R12wApt55lTBRJkUU71tSGeXQmoMgZfLZvXPKRxgLhI2SLTW0vVHDGv7GlWjtc5x/SLIlUR5lPrGlDsHJ7rU6yVTcdK7hOiqa2Fa7BSKPaJ0bhR7xU64nzj69KY0N8/ZiYrs2YJTBYDBcHUZsDQaDwWAI2LPG1zzBOReJb/gU0+Qac7PmpAUOQgCi9Dua0yJpH/N1S1Dns2827we9Eq24bPkzOFfk50ZWrqU5a510QSWJ0W7pKu/0mdPnpGZUOVSZUcyfWe4gdSnD61uU0IGZlS48EmAf/XRJrBKwt+EBbCC29XeDYQuMBBg03kJ/eHZTV8ES7aG5GhiWYMn78BbeGcM62DM/Dlecd/S+tMwxuJRzgdyosu4pdb0NTbRmzV9Wmryv8ZE9AlFvGdoKpYZ45FNbaWQ1c29Gyx4dqdp8yk2LZRfZUgtLiORTmakTZXI7mXftMx3zZfbBRN3nAFTkaBQrKrTN+iexidgaDHtwtUHYYDgK9whI9XAsMu8yPAvO9nmc83PfC1ubGN4TWr62XdPUCke+L1PzXc4jfA4EMBOYKZAj5qTFmyrvXKwE2dZmygUll00fa6fVjB3UKM/RY4328iWiwgS4MPemsh7h2NQzVubUjbaZ6xvB71W2CSoMtRMp1ukUeTTiKRXX1ZVA+UymnuFaGLE1GAwGw3LYVPAmYHO6wfB8aJHYmris3X5zzVgwJ4xqRQoOZRJtoSKUKM2J1+ZfB4jUJEvMoUtowp2vbUY5BkbawxWlrIx0x4hG2yM5sRO1M+frmrJkdb5xeOwkK/mSEOOp0gVyK9f62DYp/JRu8xg4jFJtisopNXqsmwMcOxD7grhnP+Oc9x4cto+twWAwGJ4fiyZw40QGg8FwOZwtsGpp/8bb9Mj5fI8Q2cKtEeKvudxlQWtstfmupCMmr8QA+1qTnP/CHMaF2XQdCOke05wm0Cl/Lml1iES8TABATJEXhwjGKRN1vrWPrcA3fGpBDIfguyutXvjoRjNlVFGvkz9u+i/sczvwABCHCMxEyceWKv/erRY9BxHbWraxDoyTTfe2Jv3Ei7dH781pW9sYDNO4+l7Ps3mvLFotxX+0qXbPBO1ZsXThA2T/LvkeAohueCYLbplLd1O+EYTH96UtuHKZ51ZzNONj/8i6PX7dcY3n2qtm3URE/etLolHfS9A71S4Z250oJMXnUtKOGaRxSQisKmcILlSrIgOh0iavRHEfV1+OLpSIbNAekstpoxpLkoa5hZFvaasBl49sou/Mes/az5WrsW46OBUDAHFFhgtmO1FeuTK0KZMIHmLeOv2inIrcpis0udWCDIIj0UoTMEQT9UiIXeVTW0epXooDNbbzSvcmOIZ8VldSdX4u9bMw8/zfNa46sV0Zb2kRbTgfjyJeR5PaGo8klHrh9Wbexxmi0UK95HL1foQ70qpO7iKuE+vF6pLeIq2PR85U150n+wFbQsCbiXM763SP+09576P2b7rH8XmdbZaYVpe3NHI9sCYp1SkGiIbqBq+D4SZBiNa0SjMRA+SFuIwbKOzQi9h8QbOXfTXjHYRszwqtPQaYHDwDrLaRGSiSaxAGkm11wn653oe/VJ4pP9bEeksSpsl4d6/bUXIltdUN3TKTbqSQ6y1xiUlpesVyGEGg0OuKDgziW6q6U1mJKDS1PrlC0NBKN+yzjOQT/RKrd1PPTKQMo5Jl1foqbPKxbQ8ec5l3Xnj9a4LIPmIKMF5rOBpvZjFteHqs9cMSSCTH5rnLLtYzrlj2NcFf2gkcWJgV2K2N3VJuuWdBE/WSv35PvS66/XNnw+56Dbuq5vjPnvTnZH6ThH/+3q04ItluuTsr4RbRHWsT5X4haIooc9zvNuaT88u3hqBTwbTYpzQAH68lprBvLY+9WgOp5USQHYBbTJdSfi6SW5cyZfYzDRu3FlK/y21vMNORxxrX8ZaqrAJHZc1lH1xYXMj4q8dhFp6rlbi6MNwXdiR9slxU3cuz70jUmKf7KBBkmtkiaQUu4GPbUl4bqTQYDAaD4R6YjmpqMJRgD8ytzjZ3H6YZQrADvFK1OU7gsKI8F9bUe0qbr82E89FA2kQbmT8z4hZBPmwb5JQ5rovJBspX0rmsEo7nOX+XK6sRLwWbIgK8F03jdN1DOiFFpfarfk+hNtcNx8ZBverXQX4Uu8UW6bFqa/nU47vncp9bCbC1dMwnCm2fkywtbrlTexFKhLYWjb8DE4GcQ9D273/PDiG2sUtOjkdL7O6TDXfsdbqb2hRrMBieEc+gwTQYajyK6M5t+zFa+K0IqtLMb/Od+3H22LD1mdUL4bUYR6JdlfuOe4HZ1WJQNW1I932P43v76lgbWaY7FfMgaGkBuLDnqZBYr68R9leZrbL6XaQa/TjTMSrLl31wS+1yDe89JMhTyl4HfaItO7ACvb6muVRvXKxJ7SiStMrDe69I/XyJw4ibBRQSFAwQbe3Yurf8FM1sNJ9WAqejhsRjNLZVQ41P932qRg9F9w2Y9tZgMDwfHh/IxGBYhqsG0motynQ5PftF+pFm2ngcXbmywOvKZXtWXPHdWoq93WGty0uhXfQeDkHx5V2kVBwIr/j3Zm1vuZ/vjV0gplwq1hwkSBEn/1rn9L2EoJP0wSR5At4H7eLtpq/J6rg1T7w3/takX7SebdJYpqnHzxRFuuJrzFwIo6gi5EW6UVZAoq/mynRaFJTVmJ3LoxMalxWYbu812ERsmw/gaPYZGa02HXgEnnc4MhgMj0TPUqU3ic1dA9ji0/A2sSpitr0Cl0TSXiWsXUWd9WBLjd76e99nh0txkrbcm/6ZPl+nree9YHqMRGY9tOkyQN4nIqUMlMM5JgAvyc82bH8jxDYERRocMAwuEdvS13S6vzCCZUIghT6aS5f1cpGACgFETRCLmpea3hrO1USQYp45MFPKB0hBtkbWF9JuKvdRvSsUARcRNLYpYJdurlSGeYsNVoQxk+2cxl5cwMcWALvRw9QWI48bTh4p0zUYDM+ONZYqa64xYmt4RqzdKs76+RUxRxAJWx+bBPM5D1vJ7X4Vy1W1tv13jKOGbjt61a5DMI3uHTKxDfGcKPnMMlM0F1Z1UGTUgwAe4IXgxQBPorF1xGFP1UE0tinX+Fn7sapyAaBIbFk+uZIA8C1pKWUX11xvoIy4HM1xI+EdmWRrjTJnYuscwXsftcfSokhtIn/11knaTDqbX7eF6rU22QnRrYWQUQIy95YkDbtcFZ+vF1J7wGtyN2LbfXlIbNXrm+T8vppuv72UguT07jdA2cRuMDwftpDWNe/63r1gt0ZEBmRxsW9cetS4dna+j6jX0jznnvkSn60tZWiZyG1Nqz5/dR/bPX6ue/M6ty/2nvc0IdiX7tb0xIQT2EdO399a7Ki17hHp0ACAKQQ+YjFLpkSMAPkMI8LAQKC3mlQyBoRARc4xnAvb/wR3XBbGGcvcf97BPZSSZSlXFsmBrCFa146VZHrcIv3nxm3ltIY3OPOm8jnn0jZF3nPQUPv4/rf8cdW/oEBUCyIr5sTVHUUtCr9m5DziOzZpylwcixrbRMKln+RnBbSp4RwuobFlVvtepYPqtyPsI7fbB9mwp1XuQIZ5XFUyCcybXRjeDp7tWa8p6xF127PdzzPiLQsJ5+q2du5aGjxqSru6Ruu657kc8kw3vEdL8t0rfFqL+wX8Ou95HomxoIbQ08LNpHZIebY8k6MEV0ffdwSWuNvIXCfEaci6RtxuN4C0xhbZNJkA3DxIfErjJc65qLENkXmDopRGDGquWZIvqihSSY95IbKyi3l7RTLVLUVeErCq3SZcfq+6hHchv9dXjl08Em4pW8WvSFWQyGUqGrXLtx6blPIJuYWQWgqm3rWeMpHVUKCkdQcSEZdS3Ziz5jZqb3t+zlO4BLE1GAyGtwgzJTa8dUwFL1lz77aMkcwLN95+Kq4akMtgeEa0LBJGx6A2/ikVnJDox86FCMCB1Grhx3yeU+frsgSiGoJXsWOQ7wu5tDnwljGDON/rPePT11A3MYP2aYwW7XQU9GhNcKEoVWVd4E6V9ayckk5IJtAqFnVy3BbCH1K4sceNOVjxpuJwWc4FMGJrMBgMJ2BpQAaD4WycabYu6U/lcabGdq8p8h5LsCVRz+/xjrfyOItQX2HMMmGBAZi2WtIkM5jp+uL6QGodiMo9dcfkdLlFU+td15rmtdZYa6HrFvb89fBOxmQX/YzrcVoFm9JjaGU13WpnTejzfTEkFJW7CmfirM3GORNbIhAzHAgDUTS7dmV8ZFpnKXZ5YpuqsmASmUxjx70Gg8FgMDwzziQkZWTO9Xk/1BRZmdOdkfdbXFs8kty+xfY8Cu9lnTulJdWmy+riwg1D9moNf8kl9NQ+XZhSn4hM5oHBuWSCHSy4KfjdgvN+wJEAs5htC2acWjVZT0GppO1ZgoFRMndmRF/jSKxTgCkOUaopklsw8KK0yRySicPzur57eWILQOnPDQaD4TmgJ957alUMBo29C6o5jcOawFFrz/dvPsAU2fvTfGzXXHcGrqBdNRi2Yo0Z8OQ9SttIiuSGYx4SmfiQ4FYXmM+JCOzDFkRhqySOxJKjwpQAB7AHPHzYQsn7ZKosadRp1hABgUC2HmIAJD6xUXJA5EAeuMEnYitaW0LYfim4OGdH4KRTFsXuyrZ9DmJrMBgMT4wl+9YaDM8GI0/TeKSP7Vl52/M23BtzcSo0cfVqM1kiAg2uEHxpYpsi83bjJC03R+7hrmOBIwwvSBrSQDZDXVNcJgd4T/DscPO3wsiXqi2x2sR2UJrwQGpvIBAHQi0pBY2ti0rgkDLH6M0gB4rRu3jkKx3+vcXozj5qlpfCiK3BYDA8AEZqDffCXrPZ3YSmd/sb5kqPIoLmw294C5iLUwGMfWrVFaDOnshE9bY2y/Necn6U151MkQHGMLhE3JkpRmdGMksGC7H1GKo2qvfjHdczm3IHY9oQFMqRC769KfK4ENZQFkcOiD7PngOxdW4I15DE9+Jie19m4NV73F5vuPnb4rZYTGwXPZTOJd0OVF+nBCkibZnrQls7zVyHK4N7cfGpJUWGdbA2MwD9oDP3wJlbAi1J+xm1KiPTTy7PeUyH57/yYvuRffHsuWRvoKOe1mTW3NgD0zP4ngVfXNhuvFuSOGsmulpfX6NduldeazHX3+aEM3U/r81Yu+W2JcslMf3MyhBGebSIx6nvxnD2GvXMdYd8hj4PgF0w9ZU4TgyQIziuiX/QepfvRXVJUAGnTwJhcDG4ExO84mzBvNiHwFIumhb7LFAg8qW2Nvnoym8HzwT/4sCjsk5jF7Ht+Y+tAbfSCgdDPrtSn8m7ayLQt7+3cP7bcCaZuAe2lP1qixzDMegFr3j2fj4F0mH7UUYrfNY9bh8NZt68T/oR2oA9frT9dAF0tCZbAoMU92++M9wtQUzOwCOD+bQitL6HOajVj1tj9DbQQ0K91PV5D89RMDcu1c92fG31HlRkd+6BzplBr8ES39Uj0PQ5plh3kvMSEXpcBqIQeqAQChTcU3xoy7vT97QxLed9fpMymcEunx8XvpwrKG37c5KPbddBG48dxA0Gg8FgMNwXyxd4feHxY0CnxaUUwj7VPMGM735E6Z55XRmmjHi7sOe6HHPKOueQxq41hDzc3xnTZ4X9xzzDTT62NjgYDAaDwXAcrqqJObtc9/M9m8r/nHx76WZCfR9XBPGHW4rt67tr9mGNOSWNwfBeod+HlpXHEa5V95jnNpsi6+hjLdwrCuh73UvOYDAYDG8HD93PdWMay3xsK/O/CnNriT1wzq2q11FrhTrPKVeuewkz7quM4FkSfc81WW9xPtX+tmZ8PrT2sT3ODP3tYInLid6rdk0acy4188/gmGe0idi2JrM5O3jtuG+DhsFgMJyDeQ2VTfBXwxE+so/Ku592P/1n1wbvyfueZVtDot/r+mzpot5wbcizu5dP61tCK9L0lvv3Yf+4uFlju3ZQPovcWmc1GAwGw7Pj7ZLbq5JLHdVkylx3z/pi7GNbBmE5NSzmqCxLEdZUe8r23IIzU8K8Hex5fm9ZALwkevjjsD/vjT62ZeZ1G0wFl3pWzW0vAEQ4vy38vMFgMFwVV5zY37KGbw9my80n0o0z057LetfcK1t/SFqte7ZHg+4/krPXBcsj6Y6j7h6X7ziv+fLM5rDRImVuF48l69O9QVKvKuR51Dp17zZkcs0z4qpzzWMjqN85eNTN1xlq0SNAw/S9Mn1MDRpT3yWbXr8921m55/1DDLjOxPesL9wReKt1f6v1MhieBY+adK9Mqpf5uU6NXbRrmyb213weLZ+7McoZvkxybyThXvmus6hta6nLjTyOmvbOikK9LO91W1qNrmU+Xx5hKPBMCrBnwlsVFggWE1vf2YuOiDGol37UZB3fBb3nYw9z7XzOXrMz0rcYJOHJ+8DhuMf+nc/24l1ZkmswPAvep8nsvnuzhdX0HHnWiv25x7U97cJPuy4YP7P17TA93z12zWRE6X1h6/N+7nFrP7a+I2uD+Z7Vzst9bHtaU0QyO2XiIWnYoGIwGAwGw6Xw3hdyhhJnmgobDAYDcN5YsdzHthfZkHixmcYy86D74cztgh69WLhKGxsMBoPB8AhsnYcf62t2Hdg6wmBYh6uNG+/tHV6usZ05ybTMWIWI4JwrzFX7WwUtLeE18agO/t46ssFgePswsmG4F96zhdl7rbdG+fz7ezEbrodnfn/3znFXrXdr/j6jrIuJbS9rmgvwBIyIbOv7NM41i7GFksFg2IurTiYGg8FgmEc3kKnh0rja83p0zIZHtMeSWDL3KNdyYtvTqmI+crGbILXz6e/vHNfes8lgMBgMBoPBYDC8BbxVreszYDGxrbe1GW/+M22LLGR2Khpy/wGWJiC6sywzZS7TX6sGX9I5J694ckXwW3yvbLAxHIm5vQHfojXIsjGxE5Nh4TYte/J/BB4dsXn6Eorntj+TPbjq83okrtwme8et3v15H9utae/zmQ559/exFTBzud506K7pwv29ElzzmV99r9itc+zc896b91W3f6vrvfZ9vnp/WILFxHagPiEsfhKVu6BFv9opzDZi+qdxriLNRz+Qfnq0YKe6Bw1mO7dcGzZur3RlHDEQmYb/erjq8/DeL9jG7Jpl34M5UvvIxcJZeHS5e/vUMj9ugfbodjGsx95n1u9r+2Kq7An2uWQfW33e+3KPY+IZJcz0Kyg59E6eirdqtTg3rtW8Y00967Tr/jBXjkdFFq/zbSnz3mp/ECwntkO/g9S/W5rV3vXTWNc51j6QNRt2N69B1FZ3zr41PHunN2xDb8HwKNxjz2TDcvRIreEczO1Te1VNkeFtYgmBnEZvPL+2YJqZp4v4wCkqaLk7RXjD0+dR+9jO/W7db9aBY9yrTstNkVdIPurOZItPg8FgMBgMhrePe0Q+fSok4dMDsmaA3Dtv/xPQIq7vvp9fBJuJbY2ehrb1sJ9t4JvTQL8tRCPqHQKnt99GBoPBYDAYNFpaMu3v98yY8/e8LOaUyTtNwK9c962+pvre1u8WhznSeu2sNn/mZ7kUi4ltC9qvda9Jr+Fa8Myb5Ytv4cUwGAwGg8FwHJ7Zf+8trXM12XvW57EWe/pebVo851N7hJ/6XFBcwzT6algFHaRp7ctgD8FgMBgMBoPhfeOZCOBbwbjJ38ea/IiIyNZfnw8rNLbbTTCWSUqs8xgMBoPBYDDsQT88k+ExeFTLT+UrAef4rcY5NbxTHEJsw94yMyHc50LA94hz9Z3BMRIxp2OUzqwAj77kAnMomNjNa/v52t/2ERKdJXbyu8KNY4GooRu88Fw7/kdK0d6rBO+91nsP3uo+t7PlfsAiaWlbXjG6t+Ft4cwtcxah8/6d3csJ1F2JEWbGPV32NYWlZSaIS/exXXv+segNuLJ+LY+lb0JqJ6s2HyTpuu1yrI/tmvNHbfczFaRqj6/sUl/xrXk/GsuJLU3v4RQv6O9B1iFBrufZjnqPXHUjEMmnA8F3s2lnPRGSuzjkug/yqo7YezveDfNln97myM88TxMNnoFHLti35n0FH5+zgjAccf+j26aF7mRuljeGg3HFd+DKiDL52cXQWa2aFQ/T56dAAGjjEOJirj15e1c9s4DE7OuL546NfSIzfZyI4HoiAZrfX/gZcNT2O72AUlPXrC3LHHn03p/qg7uXsD96zN4VPKrEVlsGkaYcVxKDwWAwGAyGd4l3up7id1rvPWBmeD+tuHID8G471IPwyCBrzxzgTXAgsX1/uKq21mAwGAwGg+GZsHdvUO7qbOcwZ5X4nLB16nPikVuiPtt2rDWM2M6CCzOOnhnCFJ6tUwj2+Js8aZUNBoPBYDBcBEsX2YxgxrzHHeKZ1y17zEen/Cqzb+7j48o8Gvcmli0/5nuU4Yh8jvIv3ooLENvgm3vJ8YTj/lUY72PVvPwdbEKur5mq55NX33Agzn4XHjnBvpU9DQ0Gg+HZwZ7hV5JaGcOfec12xFzTjSHTOPXM7bUVW5RaZ2E2/s3Bz2excOkAP+Yj2vXxxJZCEKL395q8X7zHQdFwDqwvGQwGgwGYCc/U2vyCy9+Gt6OgMTwfjtJKH0ZsCdge9I3sJXpPOEIiY/3FYDAYDM+IJTOg2XysQ7CY7USKra9nHcVWvr+/Vu9pa22d9Zw4e6uhM3Epje1cVbuhqY8qxIFIe9ZWe66tedB639tps937bNHSSm9v55+63wPgiQmGADji6ZD8CzrDnLnCnG+wDdZvB8+8H/ISnFm+9/oebG3Ta/cVvZnJOIDO3LO+dt0eg7O38+rNdXu3zZotOu/IYcFarjsHb0xbMJ12n5iGfTtKvzdpBQLguWE5SOXX6WoxiAHa2qo7xuIzR3FmBrHaA5fkeLqi+HwLpt1LIetQvR6d4wpLzum0566ZSmvP2OWcWxVf54pzx2Ji2+2o3H+53JOSiSABzB32iA2Rj26HJemd4RvQI+u9PfSYp0ltuMBC9r9H7Hkv9uxDe5af7DNtYP9W8L7Jmx50y1XomXOvRVxtY5bUoq8bPLOn7n4PenP/7L3ho09uN5RpWe6Te+xKHBV9joiKJFn928LAaz18M5ZU+ax3aYEMpLy4Ns8kTrz8vWl5pwjoEUKxVjtqHnHWfLYnaOxVcKiP7fvpzobNoAUyzRlHmTlZ83saWA0Gg8FgeCb0dK6PxJ5F+21GwdMDqX+rg+nrjEpgF3op1yRrTLpKAQDIqd9LJBmGtThTgPAWdnq5S/Ao86k0JLSD7K1AHOKtOxgMBgOqVWV1zAZKw4VApW1B6/zzYrMhcvTxrQ/qpM8Msdq3Rqy1dKPfIUiOTq6qzPU1fM+IR+w1W5teH5n3kZrgu0VFPtJf5V5+khQyK0xv1jzQe4fknsM1TAh4Ebmd9B+gJ5/7DE+Dlu/MWxKwXWM8MByC5AAotEH8DfVvg8HQwyPHd+/95Lk5v8c9oJqXzqxxW3PhlLsbxaHHRp9jcdY+t0u3+tRYY548x5e899cKHtXDVTW2vQciG1MLue0tbNeU7RE+CFezi+9KbOWaqfLGhzJ1+i0RD8O5eN8+mYY3hxQ7p9bWnqe9fevB2wyGReBl65rJ2+d8sh/4nqxds+rrm5pow1PjiL1qz0pb8Ph9bJ8IR03i+sW/JxHrRVG7FziK73pFmNMvhPY7umQGg8Hw5Ejk1mC4Lnpd9Hmn9h2myLMXdNSejF1RtB32KFtaqzUzQ37LmPe53p7uUVhMbOeISM+8VEcX3gJqaExHNv5lbhO/pgp4fCiDqUhp2kbdObc5/an8etsK9SKqHW0z3w/JPxM8otWXqLy7352m2qB3zzzOFgiY9sNgeBy2mGFdFy0t7bOU/TjsdoHavH2LLCs698+45JzZ17amfbZw/Ezrsrmy78tbwgJvvB0039c2rHmWYlxvteBqtElJbMbH5ZjsDZzTb5VzHzc4C6eP9Vx8lC3TE1DWhjijm2ey3THPNfnXwe/sfU2ReZqEMRi3mZeu+9Im36Ao86oqNlDOm4lB6ncQGFWO61Xp6mPFz24jZuOSXujtHlrbBGlye6bv8JxUZW6frXMGjX6gAgbg9TOjKLhg/Z3GL3f87WqpqbIPIiY47CO4Vye37w33ai97LobnILXRYS4VVebKaf89YF//vmq7HEFqu602Zz66J++TSe3W9GVdcFpEVu/BG9OWu2jKi4n6drH7tq7aa+6/ry/V+/OugUfnVgaGqRKInfGI5FbrTrVeo5F2mHdx8rPWqXvekSUguFHg6MXtwCjbHAC8cIosTNjarnO8AOj7V+/B3U2Re/kx7yuQpiLCQ4qurwz1Scwu1O8y8nglPVhQttlBY+NgKC/HXMS5M1BPPtN7zt53UbLEl0S3mR6wKQpIipcK6jog7lJXnY8v+zWXX4Yl2BKk7Wzf/qsu6J8Z5ve8HqnN0qKyXOTONVlu8vVz0Zn+VkekvxVZ1D5x/sL98Gx/zTO3A1Fy6PX38owlPse15tayLSJRj+qv7f15l2P5vcGqLrZjVs0WpSnKxqzWZy3s1NjuafKT5NXz45qwnCkpDPpl0+SWw8Ws1rli+di9v3d4jbZ4BRZZwBzwCq0gtucOllljG38Vc7MrrqLiN4GhtcnhFc+//LwV9EQHWkJ4r+z0r3G1AFIGg8FgMBiOx9lz/SOE9bPostpwfg9xfq+o988NbUjpE1jXpkXfIYTF/gYQANAed74rrId1p93JGkfpToBnXpRZI9Y9KvYZBdNBj+SQ4FGHqO1JP2ICMSdyq18gtH6rvMdmvwvaakY6sUsbPeHbulTLtFaiXUakK02er0Rsr1QWg8FgMBgMz41ejKVD0r/gumWv3/Os0qMwcQ0oye103rNCjh3NyRALzq3ClOs9S40lfq7Nes+Sz454hxeIfpZwqgnQDKcOmuf9z2Uxsa332JoKPrS2UBRt9EULSyQErC0JavmJLjEH3gQG/I5Rcm3k4zX+Akv8Y/UL0Nsj7d7QRHvKd3lOAGAwGAwGg8HwnrHXz3Tufq0gacdtmV+Lbia+C7GtDabLvtbC8UiLyJDMmG9NuRZOBYM9y/d4Dnvct+7uY9sjRpqIbGnQdD1RNHu4lRIhSheq61T+nbTnfGVmsdF2pT8QnI+5AeXR6AlCrlpmg8FgMBgM18Wce+BbxNlry9KllqMyKnxXIXA2pLt9j9x6jb26HAc119nr7Jpbtdps3IZbK7fAnn8u0NlMW0xbq/ZLtgabTJFb0gHd+Es66+IOTQSmIX0fpaMd2Fv5YK/BwXGtfW/t49XJreDq5TMYDAaDwfC8MP/abfASkLMIWBRsvpkBNxWGOqLvj+1iIKXlYKZIssvPHECpyKGTkMdkCO2nR69N95PXKcwHKpx71tvz1lhMbGvVt9bgzpGnqXOZDIs0KBKx8aYtqbe2UjpVY4vpLvIMhGzK//ie+381fUBIS9iqzsyNSYjU51QnsFnrzaJnynSmecszvOOG9ThjLLxMV2mUY1nZ7l+BJe/XqVF859zJHhgccnvSxywO92Br2Wf0FNhTr7P34H0UzvaxDclLUFa5jgEmEOU1fHlTvqw3vIY1f7d0rbsimR1/CrnN6Xdc8MjPdtRVTbqp+adsT+ugUnqB23bfS3cqDfZkrjNl3Xe+ZzMhz6qf/l5sIrbyuxWUaMkioWUf7j3gxNIYQZLjUjy2aXqaTCMmcSa13ZBSZZp8Fpb4Ht8LBblGEPYxqyGS5J+IGBGAKR6OASEkMIR+GqTefboDuTWf32vh1EWv4RQ8aouXM61XWAa2y0nXgqngfLWv+R6c+X4zGH5H8meT2n3J74kWuw97m+WsKZZ5frORPfP7o978I96R/nZ6PpFareDMK2sqHlqxPgNAHf/PkMYUK0Yiq41Sj82jR/VqHy8qsAPjZl/bA2LrUaswBFS7vej0RSAw7cp3W1mW+v4950dHAMi7VZP09rV7sYnY3n8xuL0hHr1w3bL/5iNwv7JwHhBJPT0qLhk97isoZK/0vFq4evmuhkePDe8Re0nt3iAp52Ka2G4NrmjYjnv4ve25v59GvbB9Fuxtl37bUsmhroOWldmzYEbBz5w3/Gkay9VqdsoLO0aL2KYzYAlrjPL2fG3WCrfLpqyjD3/dp5/muI+uJ7VlPVfefhKOsFDpasnRm8OPa4RDtvuZgy24DUeiMN5QWv6WRtdgMBiuACO1BsNenDm7v9OVw9weSez6NpH11iHFep9xG2kpAqkNR1uWoNO/awQz5N75Z32mdaVEHXTt+sy5nd7redyF2AI7NL4spqqPM6u9p4/ekQ/+TO3HI1GMw9oNwWAwGAwGwxuGkdvjsUY7qe+i4H3bWd/XGjyKGl6haXPcoKfhq4NFvYVtIkUBfp7bzD6t7JatQ/X2o/fALmIrhfXeH/4Qgj8EB3NVj8n37spS8L17PhkMBoPBYDAYDFfDkp036hXuVHDRXh6TaU9obO+5teYRqMn92bRmLv7Onvg8V2j3zcRWR2LbGpVtUQMs0L4/Q0MbjkXLUMOessFgMBgMBsN9UGtNq7PzG8vsWL+XPrbPo62d3suVo8JwTG7HQaa21XMJqd1rpfroZ7DbFFlLa55hz9T3hEd3rnug5WNrMBgMBoPhrcHMkI/HnnqLUmv6fC9IEs9ERQn73E6dbUcG7mmRr74mzuXesg3SMXgLHG4xse3tTVp3FmH8a7f+mUpvzf3PhnqrpN7vNbiHkGGruUKIbEiTA5A+N0qTJkL4UfVpeCo8ajB9C4O44X7oLeDmtpewvtZGf0ue/G//mvVneSbvOex7nHPz80yo2ovjvGVZ2AfzDMh+qJvvx7M+MQlkM4Fuk4yjGhe3Uv89WeLPObfG78a9WvlEHskn9Lq3ufbdiWLbza4goidMAI7o5XssfZdgM7EFcido70s77WBc30dE7d2NooM5Gvms2Tv3WRYUa8q5pPM/ql1m0+UyaECrnHOmGq1rn13IYbgvnmVcMFwE7CSSYZr4W4FLmrcesD3MW8Q8qe2vue8Z2HF8/957bb5aC9FmnZP2vjXEW3xDw9p8rk148pq5Np0VLlXrveI7yg2xUhmUhKEmtj3ecCWL05aSaw9KUtvXks/35DXnHyPo3a2xbWnX1gaVSmlNNsLYg3Lpg+5pgK/SiacwV/Ypgrc37SX3boXcuXc/yum6X3uxYOTbsAbPOna9bWjdzHlSZ0N/CfXINs9Zbx3P33pUiD3t8jjYe9zG0eu1I9ISEYcQWoYIGiUv7r5mdbnO8A1dm17t2nkESlIbGmRGljCDOVJM1ff7v1OnbfdDRHDOJc1tT8uWiW11LnXYtzkBLHGan7pmyoTXYDAYDAaDwWDYgisEAJpCQdSC6V/+Xf6cvA84xvXvqm3UgtRtLurycbu5tEhtrWc/B6fuYyvktnVcPsP3GWK7s++caSIGbOvceyOPtfJ+BmljNOTbbMa1eyB5nnHIYDAYDAaD4a5Y4+Mpe9n20joqVkxr/dcnp/21/5TG9ipbdR5ljqxJ7Zx//xaF29hicmzRdE8ZwO7tfurvvetaxzW5rU2RSRPejY3SI5B7yWWLtK/Blrxr5/I95d/6osw6888Mio8MJT7vL2IwXB/9LRCuL+AyGAwGw7WxxCyWOz62ksYet7fevd6XhKm8dtv6+go4099XyO30ufn755+ngxiLSzyBFPv1DjhVY6vRDxAkIcHV69GLgHsw1gZtuhdaEqX6+6OjuLXQM5GWyMZGLw0Gg8FgMBiui67i6o7lAOo1cYhCWugGiwLRvghvhp1oaW/v02M2E9telOQlKDW+wEhjSwRKkoWd0QunC3H5jj/SdoaDuzW2ewnxHm0v8dog7MeBZ8LTA8/lN2EwGAxzuPIsd+WyGQzvHXORyx3orgy3KA9lLSAD8Np0t/qcTasBWwsegTrY4oV8bPcGOurdh/RilEQz7qzQpbZzZq6zjtIzL+VItyhkmHJksSnFPsM1Ci627gDzdBzodC1Vv+Vf9qAdzsdTZtRnRGKr095nSjw+QoB6b/rRJr3vm0PMyTqqWAWrYQNpiauY/lwRe4RHb7Vdz67X/N6ie+4//r6l95609ech6Ik5Of1zf8y1K3NvZfK+8azjzxWn30c35Zx/JC9oNGaeXMf37p4NkspV+6j1H9M4z7qodd5rLSG7vsc74t+0rj9iy7glPrZb0xZMrT8C52EA01vBHoXNxHZPqOyxaWrsjJXTN0Nrc8flKB2i2z6zPtp2Tz1GQn+fLmoRQJEQSX6q7kXdvEx+5c0cZ2vv+xMjO98Y1XJd3U4xWWuLpqUdfs2L0RqY9s4fk32t4rUjf1/MTBQdP4C9pNZgqLHWX30J9vqhP+uidA5rAnG0FjjaN2mpj/MVBFVpzHt8UUZ4nO3OvlgQ+dQFG9WwA1d8no8fj7vKIVo2ZzTHwp1BmurbZW0dbgSIqrWner7lKpQB8Kq5c4+yby7dI+dgSS//AYn8n+DS2ArCReTU7/Pnx1372O6ZwIvKA8k8dYnZQO+z6BQkWtFpzWjgzfs0I+2OGDXRejNkMcGNn9UzHt3edrbObdZfFEjebXhGNPWOV7to+l1Jw6aSJq3pbmil55r0Cgs+g8FgeBew4dZgMJyAtSTsbms/RiOslRJUjhauXHEah+mBc4GVzE4B8xE4miQ/CxYT26l9aJdgyiw1PXhmcOV7WSff0srOElsWArjdB2DeHKldlkRslTFEIrVRqtTXHHbUzCnVPTaxKBqZfX4Wc5KmRGonLpkr1aNfdoPBYDAYDAbDubiXBUuTZ/SUWlRrZqjiHUop1c5xVZm2KP+K0uy4v+RGjyfbPRzRRzYFj9rSwLoy4t+ZCJQitdnkGGl3rKVEthVoKWk21Smtfh/pWWfMk+bql69neBB8qxNFUsjxvxaIKLpYp918kczgMm/fbBpbP5O1goqeCYPx1u14pHTNBA4Gg8FgeK+4qnbrSuXSmsg9ZGuLye9a896Wy2RG3o1F1teidDpiKdTPe87VIXObLYFidTuN812czOGoTZHrsjnndhN64E4a2xrysBI5amhs45Xp+qnPmqBNkdtW/imHjsnAEo0tM8N7P7r2Rg43Vo7StRZa/ZvTC8QwG0HIv4rgElLvnC7eupdA6rI38IwIC+ZMyo1EGQyGq8LGJ4PBcAVcjdTKZ7GGnw0QW6aRLDYX5Lc1ls8y1H624Rhzrb09FnOktvW5J48yDaUkO3meG6c/z6fq2D9bsFlju0WzWV/f97FV/qgdYtsrA6d/csL1vXsJupDaNrEFXlXe9TNt5Zz1vRSCQ0W1bPKHVQKAPcNd0pQjt3/KZ0FwJ3lWkg7U7yGW02AwGAwGg8FgENxPubE0j5Zv3X5T5KOwhdyu0RBfBUf1icXEtrU9zN69VGsf21r9SEljK+bESlMrJ5C1rpnIKknF+FDNddMxaoTB7ktWwr5ZrMpRSEkkxK6YDtdpNR4iMwdTY9kpiAjESH7CmUJ68K6w2aFcTMG0mUULLM9hQdTQwLmpeA5BYzuvtTUYDIbL4fpz/zbYgGwwGC6E65PbOWJ7XezV9j4KR5V3syny1LklDTpSkbsBelsc9lGbmqltOq+TZaa4BUvokJz+VddURwJBDGl5AMyu2PJnlf0+GDcQmBw8+5HPbFEnVV8h0Sm6cEoNqWyMsFURRbv/sEWOaG0B4iHsY0vlq7i0Q2uteyb6eW/e/gIv1EB8gJN5dDwVCD6qiHTHSo+WbrexJd2p+9PRiWjTRIB7znEQwLI+c3Sa7x1H+JM8E2rXkalrtpw75vxU+8dt43hamHjVvt7SRRjm4ZyD9z3h8T5rr7Px1seSZ8JVx4YjsGRMn7y3Yf2p4RpxcDQJCC6yE+sxOa8UZKWGi3BT2wGFNbZLd3jmMq8iH4br7WMdiMmkq+CoLMW5ceygvYGn7o195tMt8/B1OITY7lWTs0fcC0vOpVwRSK1DJrdcLD4IwKCcvos8gKDVJE03c3f3IMBHWpu0z/16FeWm8GJ6BhiB3KKmcsmEWB3Tv1tmykK8meGI4AMdV/Rb/HBju+SmSu1Y5N2Aq166Onpc/0UKmUltCSHTcAvHQSGmSOkKld90uR49Gc8NIr6jzLZlhMGwD3sm5P2kFui9xUsJ973HsNk9edH3ZXvkEujeUVJ76PkCjq9N3zblZTA8I+49ts0ZmvTOh3PTu49wrXrRlootPjEi1OmfduZAx/Jx2XixhdweMRad95zv0382+dhOYam2sDhPBGYfyGHn/jpgVIHCTLpk+1xPVtFUNp5GipgcJbNzhFCfZyIwZclO6y7N5dJLpPxldbnlRWOpBwPsw4sZttQqyWe6Tv0WnfHITJnLV0m04in3qr+5XsemrAWgWPLCK7d29i+LOdJ4cqpJNmE2YbPBYHgM9i1GDAaDwfBgNNbks0LAhaSQEdaok9FoqPiYvqB5zFfH5uh9K51ePd7+4no3sV0a2Kl3vxCy9Lvj5yrBmgREFIglsknyKA/FxJJJs2htU3oz+8o2yqLpY/NW3R+Lvil0sL5RiJ2cC1sGifHyMMpAk1rO2lpC1CJP1mJ0su7qvue/y4CTFiSCI4IjRXSZoy4ZpSY8PafafF0VIgrN5jQge82NDQaDwTC/zDE6bzAYzkJvLddzDZuL8bN3lbdESzq5XecCS47pkDu1KS41jvdL9R7Iaw+HaGxre3D9OXsvYufo7rvUj4zcIkGpQxKBHUBM0fcz6EWlQ97EN3ay3HUH0SRb/HRF86vKEgkfRSIthC+VS26ukq/3nyL4oo65fqXiM3v35ojJxUs3Y7Y+qveM7x/HNIkZPvobiN+uMpAOdUYVwps5R3muQFGDv3X7pTkYqTUYDAaDwWB4LObI45z7RyuobTofP4ulb8UVtruQ9BVhs2VboMAzbMehpsiCtQ8lkM38oOutc6Y2G66Ppb2xtDYQDPYEoVrB5Nmn+27MIbJxODAhRZkgWVFjm5y9dVlAGOBSMCGK5YsWxconWBE+jNuuIPC3WzQDpmgGoQsqZYr3zD6CStbE+YhoYhvJ599ESbPsANyQtbjKHz+YVxPBKfV0rVcfDzDLpGUGg8FgmAP13cGWzBc2FBsMhjtjzzpw1hKl5gor8+KOYlTW8tMKmpl0JR1bA2/CKcR2PbgbfbDU2JbENNwtRCuTMulUnhk+GsSz97h5j2wVy3j12aJ9FKE0pjU565PS2Ma/7CcaA1KxdHLAOUqEkeuVRmNtoX1NJX0x1UU09010tBGZuvdK1GuZZt0nflOsXwzKnBTPPkWpRowYl3GLdzowfK2lljIA2YS5U3aDwWAwGAwGg6GFeh3Z2oFglwa3c1rWxpsT2IU5H9u3j9XEVkshRtpFbaZb3TdHsnR6RboMMGd/1FIDG7dgIE6klpyDyxQ3mR1z1MzevMfNR0NdBphcKmtt7ita3KkOLn6siXSGm5N2FkAIZ65bQRHKTG4D+y0kNVXbAEGTLWRbWkBHVY48Oj2jXpt7pUHVdRfkrXzGPq8gUi9uKLgHx0jN8kxUYjEvIcEO1YCD1AFyiZS/wdhKet1Le7TUayp/MQF/q1I2M485H6Mx6IQ2v8dz3BOheH904544vDflt6Prv3VMO9sY5lG31pqVz7mY8108I13D9fDo57UnYNOcj633025rQFxdd9za5jS203n3x8m8fq+IMufvU9UmyjvATGHuidbWmKPzc2PDrj6zZ8w7pq9u0tjW/q3MjFf2DVISMG1pHi92wRe15UsLCDkNBNX78hpGNIMlwJHD4FzUDgZ4Qoq47DmYDt8i0c30df/k0wtw5BURvRU2uE5pe7kohmh5ywT1F735T3meQXCiMdZlKcy46/3ByrSGtMAGXLXY1nXTdsckAoQQwjn70RJHPXZMpxZnicpcCQPCArRhQjfzwveg9+49AjUJMRiOwtOa4ovwsTcpP5LUchZ6ju99/CLwYeiw27lF3FtHP97DSIL7FNg6vrzb98OwGXvmsr45b0MRVoGcK9e9cjytyfXF43ymSs15Ods+TwAci84q5Vmk2W2Sjg9vrWgCRvNteb48S9UcOCqGn3nHZwQJgRNsed48I3hejs2myLpT+WQOO3EtMCZh6qRILyY1wZQXHdqfFRzMWj1FMhRVgTovKZv+mypX6wWalQZ1rpEyMjMcglm00FEGAO+Tj65uCwAp0nMn4UICVOPGXPS/nqN6KwPtC+yJRsKJRMSL5wbRjwcNLleENqbNhBRUS6qTFc+czKRT+9aLh5nJde45PiVhMLw7PCu53Upqd+c7R3oBiCNF74pH4KEatDrvSsgKnKd3vDpNWu4jd/WaGAzvD8V6v35pG4qOUtM5/05PjtvcHEbDPRDeMHFr0upOJT0jOJ49PxbHkf6B/mhGgax1rng8Nmts9d8Rg7o2OSgJLkUtpyKx4WRJVrW2d4UQtRccCkA0a24j+IourXumaiLoTQRdX1VoVY+bLNcRW1GMchI6gDgJH1gdLwM9aQkaA8oXWprZxbQLCRKgTLazJlmEBmVJCfU+uMVZOm8RZjAYDG8dS83xro7ttj0Gg+EtoLfunRvn5saPRwudWz7DS84BHXJLC/h8p9rLfIv79x8xaO/S2Bba0621oaC51ppPTXADRZKIxlE7HPMKBEmIIqVrpqQkTU1ey6S3vmbCzHhkvdV4MbJkQ2s1owZ6gcp+lTP7THmWLlBC34o9LN4Toh4DSe9BmaQXe9VGTXIp+Qr/MCho1j2V2uT4DLTPce8l7b15+r149MBjMBgMj0YQHO5LY27uOCty6R4YqTUYroGtwrGej+2Se6eOTVqHasXSTJyaPrSCSimE4u8lBHKy3qIUayoC15eQ6t8zle5pm5ecn7yvLtAOLCa2LUfrtC2P7GmzpUSNZ1Fv73PjuN9sZIWla0vofM65ycnVhUThKPieevLw7MGew16zlA1t6xS6JsFYLxUOGsVQZj/hQD7lO7DGNHGPlJ3lfhIiHhpcfIUH1fa69qK0DVfnfXVFE+sjTx5Ebavu02YbrP9tN1Cz3C2tv8FgMLxlzC7+yLSXBoPh+bBlzbvkek0Mu9dVv2tiPJ+PKLI4/XYQxdb28u2y7Kwmg0nt7RNjMbGtyWbR8DtbIpme1unKsXhNNlEV09aQqXMhaFQrOBCh9NF0LmgNmR3YcSS1ncJ7X3TuZB8P5G1rtIa50rBmh/G8HRHFlQYxjSQb1zL7ilpZaZ8oUfAI2/a0fHij7Kggp/kiuba2VyCl5SVFihuY0N6mtr+jKbKRZ4PBcAX0xqI5SfxD55wrTXcGg+HpocnwkuBTk+mgba68ltROpT1933JSO4XFWxVNJNU1we6cn0l2EY6YEjZt97NU2rE80WmTAFbnC8KL0IiOCC/OwTk3nrl5vLUMgGi2HI2cXXlFXQ5XE+VC7c/JkbopLWoQWx2tmKMZ9lTeLSx9aQ+DqFPFoRaKtrKcLn1sAYk6TeC4t21hgo2y8ybCn9J32dOWx9cWRygfyXKGUrhgMBgMhjaW+NQ+4zhqWmqDwbAVgXuUI8g9rQJ7psiHobCyXIbetXu1vUeN16tMkeVzkthOlqoOANQ4l7b7kf1hs8+sr++OjIqIgraWXPaVrVqWOG83VJyKUYZuKE2bM7kSbXC7LYgIxKINzqSvrFmRVSihJrrpNlYELjPAcZtlsrf3pepFTQMD7NQzE/PpWA8HilGPw049mdNS8BuuFPk6eriYNTvOmRXCAhIinGU/uqsxSmGATjlowaOgIfaFVnCwszQUjLy/rwhkRqXc+NiOKPMzLk7fO65lwbEMPZuL2vJHHzecg7UEr2V51MMz9lHD8z23ZyvvPTHXMs/adt19bPNF6ZisOVlds9ctL+elFWCy7p0nn1kBlJU7yaVyKt+5c7sfZ82pqtM75uOWQODeWExsvc8RbnNU3Ci5UP82ETZ16px3geRx2GP2xh6e4n6zQJUPEqkdnMMwDAWpTQQyXuoIiUT5BiF3KY9IhiimL7WKzFYvxqTuDsBL9B1N1rrIptOhb/iocQ5p5b1ZCY4cSAQFYDiSLV1zuG4dokrIEhFHze90k3ZBCPsBdy5hPTyQMp+OVR188FkmcDCpBhD2q80m10DDh5jCvrjJ7xkA5Le+CO0BKSiPc8WFuIZBRmniPSdTcL0Zdnh+M+2zElkYAty8MlGvMOzMd88AbcTBcBfIWKEPVbEZrrzI6pr0dsq9J8jJs+Oqdb9eiQyG48GQdePU+Wd+E3g0n2jktaa+I36uNNmtNbGFFSGPrTfbyicpFxXWhlxrOmaL1o6/U95/3HN9a6vDzRrbGsv25B1fEKQPce/SKIrgqKX17BPzFzIocNH8OHU2LlNP9u2cF1oOSisa4eOvo7pIegklc/2R2o3iS6FfDMp77kYiLKRWXzNSSU+Vo+tzxbNJePY5DQ73UNS3hnbUWhnO0ihkcjvVqgQOml4OGnO5TtHVlKaQ1Fz2Ml1mAsXOF7ltkasIRozYGQz3wzO+b3s1k1et85aF7VEBW2YXl2c22R3X82Nz7nXX17iioMBwcUx1qWVLxutiadkPHn/1O9qK3dN9Q5Xr3iZ0SHNhSnkQGvqnp8bm7X6OhJBaIbTMgdQGYhsvUi0tpFbvpVqml8Nqa2kWoyaTnIgtEEiR4nJ1tpvqpVS5ECkMCUlM0gCReFNi2XIvV+WRa/aFIl9afh79JiJ4Zjhy8BxMtRnaPJhTNaZAolmPGmAP5AjVzMFfWrSvHDXiBZmt0qMw8IQI16yIe9aep2s3tIPBYDAYDAaD4X3Ai8shtHCQMqntLHL3yhLm5Vqz1PpdY1VUZKA0xdXgqHdfL7UutXHSidj7pP2re4je2kfIT9bwlUnfgOSj2wpABUKxf2o2/RV/SU2opjSQpfkDU9Ux43fvoxaURWsaDaFjRODkvyzl4rE2mcEYpE0qqU5379caK968VlqB3Ab/2ZTMQvMI2TbIpUcXta5RICGNlwOIlc+Aq8YNGmIfGK7naPUeyPeY2JZ77+6Bfhf0p8FgMBjeMxrrkQZsvjAYNiIZRG4jeFMuFIUCJ2cjKqj0Xrd2YanT2YNntRC6AlYTW+dc0Kh6XzYsta8Hlks3HGUayTGNsO9safI0JtX1l/w7aGw5k8BoApzMa1V0KBKf16jtI+S8WgFPskd4JT3hxsumya28kDT2jdB7W93Yj4hZyBcgptRuLRxpyjR6gWL9PLL2OTy7GCV6BkJsgaC9Fc21F/Ntzr2gNFGP5yHHKD0CMEdOy3AsWv2gIfdRXCFbCh05HBipNRgMBoPBYLgv9qzn5rYCEnILlUdJctcF2VtbtrmYDoZprN7HVqQUThHCSDuKh1FEul3JsZxzcMzwyVS3bRKbtpQJ7KjpY+vhk+9qMk1VRIlvr5FED3DEhRQmdN4cNKvGbLWqC7zXBC1rd9PlqqpCaFPzietu1HLuCQjAu+5W2ml9LAZlEuFB178gNoCnPEDke0hp2KW0SEIKVN9Fby/+vwCBokDARwIuGzpJwKrVHdJgMBgMhsXYEdzRYDA8HMXWmvGYJrjiPZhvwDFaEw4Wkb1lKhGdtop9C8PWKh/bnupdm/vK55gM1t2jmUvQnDqfgxB1zAUQTZEZVUdQZgq3psYvfNeRkrkgthw1xtPEdm7mClmU5sEpqFU871WT1Fkkciu8L90EsCuqOab/I3PoKvEZP9geJC9KZtPRhLuoXD91GQNEk+qALKhQxH9cfOWPLL91usSJ+NdiEWnPt/DiHokrBCoxCaTBYDAYzsLcLGczkKFGb23EVC2i69+7IPu1TOStQrQei6aN6NNhucbWRdNPBPKiG5WRt9SBi/vRejFX5UiyxOh27Hyd/Gg50BQH4IVcIoIpplI8j6jcI86aukhFQ3kiv2Kfox4L+c2mrQEelMjljRkvjlJ5iPNDnvSvFe1uZ8uDTKxK6Y94EUuZp+2Kc6CldIg5vFgqD72/axm1GMGPNzkHxHbZ2H/F70Ban1PULdnqR3YhnqiO+NJGiLmHmDN7aRORWxT6dlXfXDVI79S9zANhSyXdS5IPNE82dwtTxEs//z45W+ZzNXn3jGmKLsvU/XPpPwpLtgsx4vt20PNLb+1ze/yzXyJgHeOq29oY7o8UZLLZHZZpa3W0/1Yab2GBuRZnv18Pa1HeZyU3m/xMd3nWcWtuzN33ljS0SR2Ml+i+OEB6G8rNZVLpdRPZsW1exd/qdJfg6ltPLia2Lgbk0Ujl43JvUAaDHcBM2XTW68V59MmMHcG5GISIA0EmJrgosfAUfHmFjHBkraR8WwkufRcNPnN4IV45+HQKkfZKICEaU72LKjMl09UQ6CnpJ5HvyvUODZH+iSYCsvdWrqNoNiUZrrTFddKhYTCWy0S1rY/10hgNnaTrVZo9+1rDvQKegCEVJZBan8oZtNydXYsBBF9c4hAJ2XsPOJeI+Q0oFrejhW6VGiGTSkexBBTpbCyf7JNcBgqLZemUtPcS6n1y566F5LixzY+YmCYFLw+e9Ob8k43Uvj1MvTNrBRw9H6c6rfDqtySI1Ly+lXfPJ+vR79EV8chtbSSiaS/vLrWcERSSyHOT7ZE+D7QGe+2ixY370nUSDHEib8N6zOmizrTmOpXUyj8ThX/m/jIrkMf29cGWiCu6NF6tesO5ci0vPGJj4brMdo+YpBWQ961hdfCo5dfKYjWYljI5eO+zFhYUeBcDThGNeCpqVuUhuEACk4GpMNOGKjOcCKQVnAI05Qi7SB2GgVQWgfcqeBTlvtWewLgp8UlUOCawZWBJd0wNVpA9YNtQXBuAaEVr4ru6WDl/0pRQ2iF7uuZStsvGyFGRiaWPIAoffGWOrPa0ZcC5QoqiFhlREFFXvluKuWtIfZ+uk8FgeDacuZQ1vGfQojnI5pKHYJ+y6p3h6o1y7fF7T+tdu2bXxin72NYRjIkINABELhHWTFwyMfFq75hMbAEQBRIU/7xXJJU5RtUVxEi4/gYhJjpYUouG1seSIpYZr8RwohEUH9xGXVNqYpIrE1uH2Erdpk76mZ49zludo8ocipoc/HhwjkI9BeGlHkDY6ieSW1DiyAwuhA76+XkuGya34wKymjTq+e76dzmkGLE1GN4WakJrBNfwAEQBusFgeGMgm1UeiVOI7dhnCgAY5MLTFlt0IS6efd4zKrNKIJqrDkTJV5aBkE6E56iNVB1JNK3MPpgZq0i4pc0+xe1+lHlQZRrspeyiEaQ8FSVlcSRiknYK9jTTq7tacKlDIvrVBMg88tEp6L1zIcCU3F+bNnT9exZA1S89Mq3AxdRLzaltgsY8bxskvrYeDWGAEHMam2EwgIFiv1i4WIi9IZmjcDoycX0UvrT8/s4K+W4wGA4E4U7SPcNReGYzyjVo1dPmEoPB8NZwjzH9EGI7PwBnU1Ihh0FTJ4QyaGQLv8/46ZDJnXAxbYrqgBhsiCLxpbhV0ICb93DIoYw0oQ1lYsV5swo5N3s23w3+kYFtkkpD3Zl9BYWAJbPrZqtlstyAFzItacfskp+maqoWsp+vZKfVuQd0LEXwtWl3ONVPv3wKAbLXrNTLx3Kyvm5K801hv7ElxsWpvMk0vdLAo9LlKP/PEde2hYfB8FxIA6oeWfTIYe+0wWAwBNh4aHg+nKKxHUOCS41fEmaJhhu1jJFkivaUFbkJAazKNDimwRRNWSOR9Q4Y2IOYQEzJv9d7r3hNJLcxLSKAXUkGHXvlZ0v5QsSyiCYvns/XzPPH3l5URBQDZKmKQnSMJaFu3o++8vJcmUlJdJu5V2bGpL7n6NFRAAERSkwNsiK8WExtC3Kbyty4NZmWg6ADzywNGGUwGC6IpL2t318zILsSzhxfH68N1pY+DyyGwTAL66BrkdVi69EPvmqYw52IbQORg5DS3jI4azrVfx7BHHlqIvIxwiCL/W7cfdZzICSOQ+Aq732IkBwJbtoKCJqo6C4lZqeq2IrQEAMudsEianOqYl932Y3KyCX3ynpFRa56EzOjHQAUxyhsXTeNhYNgkAYkjfr4/pJI1tGR05XJv1b+WN3LwfS9VMOOizFVD1LbP6X+ZYTWYHgbME3tu8VIuGm4Ouaelr3FJ4CTmuRaWOh2Znh/uAuxJQl/XBt9CvNK5C1o8gptbYo0Rckxc9SVk+YzEyIxYX4B8OI92IUgU54YN++jX2/ch4qc0tpWLzCJ/pDGLxIRQEPIMTqOJhPaSM5fKUT5hd72J5WSR+mVOsTGVjRiMd2TBxFEYjB5ugxMVUYdDteQqnOZf0p+DzjrnUPMsLC9E1EeREm1t/ZZrkk1McOB4djDkYfDLQT8wg3EDoi/3KQYrG6nXG8xNBCz8VLwMcY04SWAp+NY79UeHLHdiJF1w5Vwbn+M73gKREfKh37SjgY9qxEiP3FuHnve3cX3PuHrfWYfIOQ91FvoWkRVsTrGKfdTmN/3fJpzX3k/5TPLxeqvhcX2WicU8dR6L0h7bh/bhTlVvykmPL1xDQMz+zGfCAqBSHvufhli/Zh7UGAVnXd0wYC59bnPvf8eM4qrHaCZtB0ReOu4yw3OUud/h3XmKdv9TKTQPBp8GHMjByVeJLPSSAULk5ctX68/W+kPLnRmZgADwXvCKwG3m5hI5wVJUU/SnXucA0tQK8XPh3glc/Ab1b6isjCSXw6k11Vl2pjQilL+4ml8QWEKPfHIUhTgeD4Fc2JdTzk5UQRFNMfpLwBJSeQeH1qGKexpK+bIQrQrolkmFffFle9RsOHA0YjYg8jF4GTj+8syhdIQiQ+0JrXz78DkNRddiBgMV8Pc/qFT1/bOlYkAiaSq8TSMgx2iw/nacZl7A8synLU4vvLIs2tM3Ym5/bPX3dtKp9+PnSv3mS/Pd+bXmXJflfQega4FXPzsPdEnlO3MIi3bDq8cVX9TmRdf7gdGWOFN1luX28c2Glvr9TLokds948cSnNaiM+X2O8npKV1xJR5nipxQL0ZkUJ8iEmPG1mvE8NJnbRYDgHN4cQ7ML+PO0zBTnUybCTe4pEWuTaiDRNgr7WqgWULBKPoMp8jHVY6ua2nP8K5d8ySTmuhhBGRCHn+LokJIq+jYa3JMcs1ZPZdEihZFAXU+C9527QtNAIhcIqqSx5I0Wn8Gg+G9Yk6MangvOERBptNrTHRvmJ/uw9Q0bO11EnqWKkvECVeAvLHz1hSGvnDsGdbBFyC2JeqtU1LkYv3iyO9EzHrmBKVUJ2jsCM6RilqsNMZ1JOPe7BL9L7UZr/67cSSQ8PBRusQIJAvEcDrsMYREZvY1dLJmAL5h+SZRk2/gMsp0BVdNnELKE0kHqv2Bddn66F/VXxIE4lwy8kK7LHfrJIquEX6E/YbzvsOZ2E77NdfbVBkMBoPhPMxpFx86Di8xAR1prCqh+0OL/9yLU4PhcCRrnYjuazCrt9xdHMM5uByxrQdcSr6iQnaqTslzlvAMwJfbDaW0WyZAVWod/4GQZPDT5WjmIMSYAVBgsyAmvHqPtO0QeQAOA1Egt9Dvm9IsVlnnbWcCc2YnOt5oMhGbijn4m75KQYrkInmlKvkU2jl83ECBGCNYghMAx3GPXqhyVGWrvzfbjXMFhXTGOyHm31Np5N6Q+4QjwuAcnNasEkCOQHBworGVBDqYqscSH1bT6hoMBsP7QDkf6El7/xywV1s7N1edbUZpMFwPtevAtOInX2bk9hnxcGI7T4LqAVhNHBy0il1TZNHqCvksyO2CAA6d02E3nkzyAt8MLwwzMDiHDwPwenN49Rw1uATAgQkYqCTlHEldOujy96iHhOyny8yA94X2UggdRzIdtjnKZr1Js0zBPBejZqVUDmYC+7i/LKtLOJLKRrsVEaObAorcbt4Hcu8onHMMEIVn88G9FIS3mKQ5+i7ffPAFIGCgAS80gMhhIIDIJ79YB21GzNEseeqJGgwGQxt9v8Y7FsRwGOZ8tOe0nv1t6K4LI7WG94k1/f5MUmsTxpl4OLHdDtZsdRJiptybfnreA6RD6TaDk1Ai2KIt5UoSNBDjhUUL6sBwwYzZ+yI6GStiGL9kA6ekbowmxCzhlnK5NBFM2xzhlq9RWloa3OTkxiCAHV5vHq/+FjyGmZN/ba0jr31QHTk45f9L0WRb4FnK6pMmdQAlYjtAtLZlu8QfcCB43OB9yPNlGDAMA5xzIApBORyFfY9J/ksaW+qOR2858IbBYNiDJWODEYY1uBLBqssi8+gUchR/4GrP/UrtajA8Dm0XgeU4g9zaGvNsHEJs708GhKZGQjdzpVyztovre8KBaQocrKKjaS0HzSqJstRRNJkOPraeQgCpAa5LbMfa4my2nLSuokEt/IiDVpfYpzR9NKVNmlDnivrUyluwg0PYhOfGDGafrhNtqL7ZqbIPjuDUtjhF4KaYdpQDBPNhxA15ot9xyFnnoTW2oS3ZObAL1zlyGMiFKJPR7FiqVxNbcvN7C+uekltcPpb0timMepTBcDnsHs8XdPO3K0BaMgZcC0uexXskStTryHFuaWtsG/PW2rw7MvvlmuQ3igdV7dFb+jwGej0keMaxoFXm+Tafei5Na8LV5anvXZfWnjF5ttwdV8De/RROduPY3GOGvIvG9sz9NUeBpTr5bfGBnLuaoyY0XKvthmNwKh88awkeAwhIex3SxH4+RYEnC8VMeGWtfeTivCMxi6Z0Om86FI9XmtTsucog3OCcx8Ae3nt4+KKeBATNaFCLJpPx8MfQezqS+hcIGuxMtDlNxA7RX1Y/0+r5BsLrgRcks20iwJGPaXmQC1GdB5a9axnEHsEHeloGz0AVh7rW0IftnHq9YvqVRhUcrAQRRfNsg+Hx2DVmz5HadyPceQsLwnPxSMLcIoAjt6dJq6a8c0CT2EaXmTV5j8vRe0+W3D+N6xKpPh4lGn7W9toHrj6B/ASypcJjhV4nCht65xb0B9dpl6A/EXdAVn8Zp21zNsqpxJzqxnXqvoS09tI/qsZPY4o8aTbL9e9x0565D97sNfE/ih04a1X9oqc4VXYPgqNhsiMNwvga5SWKGmRyzfPRmBrOIWhrieCLtCgFZJK9+EpiO2++4YngmcLm3pRJrRMaPLGfZK0xHu83m4l3UYrkKMz9zadnTvVf+jmzeEwvlHbuTXiPyeU9am0MB+OIdcikEm2+f55FqutX470shI8aEx4xtswGUOqdk7lULfCL0+j3xxTwcdP5aKO1sc3O3Af3HoTaZqGzsKRlSwuFxy8J9hTgXDFJ/z0jAA4h+KwWFjx+3mjZoKw5fwU8DbHtYRzZuCNROHjBsSSvecnwemR/14nzoOKk/JYJk5QPbCobIUV09hSCTzm4oHku9swlEAaIOZbcW3zOYIhBnDyHjbODX6xEL+5rLgcXjLoBjEgtAMDJFj/lfXuffAh3NQ1O0rcpXH04MBjOxxICOnlvdPPYivejLT4OdLvBnWVNQnt6w35Mzt9E8C8vp63cxRVn63mD4X7IrlnlsbewnrlSHaQs9ubvxWJiuyR8/Jnop98gaYvv3Y416R4ukSYEcjcRtpmqaNHis0NRa1wEo4La0zbe5+TlciKcLoktZOIdqcyXaC4DyXYus1HnxA9XQmJNmZOHxa0E7gpmz4rYxmK6pMnNZT3iCTB6ax3OmuF26Q8owWNg2lrDUdhDZeY0XXP3Gtbju/+zv4/v+X//8qOLcVfcPnzAr/7Vfxn+4483p7FH69GcW98I9vvw21x0NxBiP6y1ifr3sz6PM8u9to9rre3CHE7cp7rrQ4sZodwF3s9DiO3ZwSfmSO09NbRFzjN+MncxR5s02W1tuRPO5N+B0AbSG8lkIqbB/9WlW0piywhmxK3F4rziMoujB9Esh72Swr2Oc1At0QpL8CdRKwOJuBZ/Lmzp4yp1dj0kH4+WP8o69H3JH+eD++j9ea8wUBoM7xXu9RUv3/72o4txV9DtdmlieQ2jRcP7gSaxPZ9bwzZUiqMZq8U5nLVP9RJRxhX2yH56U+RH7iPHMQDSY8DBPn/qLJU+tOMWkn13s1+tRDOTf1M+8TNHggvUliP5HaU81yasyMqoYGWaxELIowk1GLIFL0nkY/0nhF402mW2uxYEwu9798+lPWk6vsA36dGDxaPzN7wR7B0y99xvXdiwCI81kQ4lmMaZIs6z/G8NT4pCTVevt6/gG/roN3UruPgoGno2eJyhh8sT2/mBdLv/6hGD9EMH+l7e4r86fXNMoiZ/ooOtiW39ok2bC7fSLYo2+3yUGXXSvFLUThMcC4kd/0mk54LUHmQ1M2H1nRJmYnAng2cdfg2G47DvLdjjYztrSWIwaJw4YM8tW2Uua4GRpsL2+YuTz13WeweWw7ASRafVHdBI7Rhzb3hvQUoAboeX6D3hMB/brVgUWXjuksoyYnQ9ty9NnW9j1YJvan96muFC6/Jj9bqkYucXqGiGqlitrERLW+eRt6XhSBHFTLml91U5p4966Vm+xHPVHlk+q5+Ehpa2+hNiXJQtHaB95BaT641xod8QTFv7dnD1he/bhrU9c9juDQjjSm9bjB7+6JNP8Oo9vvSZzxxZPIW+awjXE7K6j8S9ZgJM4zm6PN8XkIathibckIhS+07d/6heuHsesbHrQajb/UrrgVkR0Y7zWyGKo4lctZS1XlfPygu0teM25dIsOs0izKC47ADF0ZF4Ao0tAO7Foq1vqA9Q4/xBHpd9Fd4sqBtjt5wEgtmzT7OSZ4AphHiSSMZhK5vw3XHQbkynnV+8kcY7ddr8WVzDnPbo0ySW1bGWf6uQUilrq57JnDguGija/mYz47APbq5D9r2V//KvivBTf2+xOfSk6Pma897sR5FLI7VvDw91odixsuYd4WJ5Z95nQuIfPKPQgZnxS7/1W/gTX/gCvvTxx/iV3/kdfOGjj/C9n//86NpX7/Ef/dqv4T/4xjfwiff47s9+Fv/6j/wIfvjLX16V5zc//RT/87/1t/Cb3/wm/sf/wr+AP/bZzy6+97e/+U385je/iR/9nu+ZHttoftwryG2BWpg6gb7BVfe2Ol5GeQFj6MX/IMJtYz+biytyNh6V/6Pr/Vho6ze62Pi5h9Sei0nrvTQ8iNUjj84TU2etSQC5eJtsG+rH6WxGf471cR3eLB3PLpHvgssT24yjWqtjw7Mhrb1EZilpkAA+4tfLDHjO3rDJ35eki8/QZmIAvkhPJssQaXj6bkaeGFtbLTFaQihKmuB6LaD9R1kED0JqR+2Q22yq7XTUZ+aRbOk0ovYWSe2SMrzfCd+wGVu785HDd4UuWcC6fr72fX32V+j/8ku/hH/9R38UX/re78W//41v4M/8sT82IrY37/F//qVfwj/+/d/Hv/q1r2FwDr/zrW/hf/l3/g7+6z/5k/ixr351cX4fnMNf/IEfwO995zv47IcPq8r6q7/7u/j3v/EN/Oj3fE/3Oj3X1Cj2hO+cn+xOqR9v6MxpD93ppOfKdvU901uYa/Ol92/Fmb7H5td8BpZMFg9o2xlNa3VhG8X4oet5RH12Kn8ugCcitu8benBLxNb7EbEVUukR9qCdTI9EW1suqmR8ddWtNdHVwabUwWQePRqLY1RjMRLW9dHSUCIJSlWSVyLCMAxwBMg+t6WmN0dGNhgMBsP98J3bLQk7X283vDYiuP+j3/99/Pxv/Ab+Rz/90/h4GNK4/72f/zz+3V/4BfwPf/qn8dEwLMrvwzDgr/7pP72prJ4Zn9zMh81gMDwOXWOOKY2oQkPtsyDlJXj+NfRdfGxlAjPSsRytiMtNcquuLbSl5HDrdfCkcc1/OlCx91EKFF8wbcKrjSdEVkTVscLYm+S4kNvSSGOksSV9byCrzjk45yB791J1jUZNeE3iaTBcB3s1QlfVKBn6+HgY8G/86I8mUguEZ/UnvvAFfOf1Fd9+fV1MbAWMsXuJZ8bvffvbuDHjSx9/jBfnUn7f/vRT/N63v41vfvopfudb38LnPvoIH79MLIN6psI2rxgMT4ATTXz2Yj1zDYjDTlgrizZJa273+tuU6+sxfBnvR+5ihN1YduR8FE4hti2TEVtsrEfaike1p/fRfDh2YmZOxwDAIxJeit8b6UrXDxpWTp8UCSOJHwVxtPVHZVss6Yr2VfvRykZAOkNSfkHInrBTpsRKW1uQWgpq5pROZZKsNbaZKJtAxWB4Jtg7+zbxxz//efzxyjyZmfELv/Eb+OrnPofPrTQp/sXf/E38wSef4Kd+4AdSWt96fcX/7ud/Hv/Zb/82AOB7vuu78N/4Z/9ZfP/nPw8iwt/8tV/D//pnfxbf+L3fw7dfX/HXf+zH8Bfj/QaDwfAc4Pxx+FTZS5DLb4VbxHXm7F3E1hYf90UitZpJKiStLQWp9a3T0ZLRAmvijEQcSbbNiZ83VmRR/iWAxOKsluCUKtnEagkE5wiDIq+lWTLDxbIIoRVSG/IntMyUW5/1d4PB8HjsfSff8ju914/wnuBo0uuZ8eo9Prnd8O3XV3wav3/r00/x4lzSmLbq9Hvf+Q7+T7/4i/jv/tRPYaj9X2bwD3/v9/Abf/iH+Kkf+AEwM/7wk0/wb//Mz+BHv/IV/I2f+AkMzuE//a3fwv/ib/0t/A/+yl/Blz7zGfwXfviH8WEY8O/96q/iv/eX/tJqDfF7gPl7Gt4Wrtdn50q0ROea3tLmonuBLfOy1J8S5mN7Mo5eoCTyBox6ftLwIhJIuM7LoUhyhdr/tXWcIwmOemPEn5DCucJv14XykAuElSiS11bb+ILYat9ZCQS1hNAaDAbDs2FqLLsiofj973wH/9bP/Ax+/fd/H//Rr/0afvV3fxdf+a7vwt/7p/8UX/rMZ/D/+Af/AH/pB38Q/+aP/RheGmPzJ7cb/t1f+AX81T/9p/FDX/rS7vL8B//wH+IzLy/4l//Mn0nmyf/MV7+Kr33P9+Bv/tqv4V/92tfw4hw+Hga8OIfPvLz054yZmA1XfCYGg0Hjyu9oZ2zpnc3mllD2l9XdV673+VhMbNeQhin/EzExWxddUgiTYk1PgrXBjGof2lZ60oYURTrE48WQQyCePVr7qm2DF5R95O8b/9EmCKTMI4iiSbHy0Q1/DoPzuWxaNEWZkGtiOy5b2MXvUZrZyVad0KQn0H3LeTRsIWfYiyX9v9fP9vjfJu+fkWtFOjhbtrMQqtX3bSqtax4/jnzh44/x3/rzfx6v3uN/8h/+h/jXfuRH8ONf/Sr+nZ/7OfypL38ZP/3DP4zPvLxgaJT1O6+v+N/83M/huz/7Wfy1P/fndteHAfx7v/qr+Mbv/i5++bd+qzj3R59+ir/xkz+5Os25+bu3lplb5+TeNnXNtnyXnAfF7fQmsKzczwfzi74/jmjvK4x1V0ReNjfa+GFNFiPobHzuRz3rXcR2ywKkNxG0rwfIRflF6bg5W4Y1+WzFkr3uBKP9YmlcB9+IJtnMIxJTcgyK9zjnstY2buczBSYHjzzQ11paF83CJuvns1Gwi1pYUNCoOjAc+6SdJUfpGueAHGA5LtJcrXl11e/8Scim0o9At7dFYjstabMB2vB4PDJ6+JkLy9ltTCR8XRKHt8jt9rz3QvYWb6d/HqXY2hcIwOc++gjMjI+HAZ//6CN86eOP8dmXF3zuo4/wpc98ptmiQmq//PHH+Os//uN4WWmCPIXv+vAB/52/+Bfxte/+7rKcRPjSxx+vTq83z5QBD8cWTov64tTpwrSwve7qC0BmfNRnzvse6ZUSnTR+zBLynWmfpYHfG/DuLePMdr1XGpdEbbZZrz3vUO/UtpzC8iBpthrYI7Reg03EVkuNt3baTZVI9q7P2VGPekllYstS/oZWs58IBnJJc8GQZ6rth5PooJ1END8Of4G8BnNjYABjIBdIbmVOTJSvrQucNbyNT12vzgLwClgvgzcY3gf2amwN18EffPIJ/ld/5+/gH//BH+D/9Y/+Ef7h7/8+vvpd34Wf/43fwJc/8xn8P3/lV/CXfvAH8V/6kR9Jpsjffn3Fv3MCqSUAP/7Vr+If/t7v4T//gz9YEEzx+RV/2sG5USTlS6GQYdi7YDAYDGuwycf2MRFna0L7vAR3L4gkqvDYJHdZAkFr6hC0rHEHHdTtW5qA5/NCeCmWxQ0OLy7sMetAGODhiBORdZmFp/u1diL4zlJMM5vj5VtqZ2Jc99FftVwGwxPASO3z4Ls+fMB/9Sd+Ap/cbni93fBf/NrX8PWvfAX/h7/39/BDX/4y/vIP/iC+8NFHyRT526+v+N/+7M/iCx9/jP/y178OAnBTFkpupyXBT//wD+Pf/pmfwS/803+KH/vKV+CI8Jvf/Cb+9z//8/iv/PiP43PRj/cHv/hF/Pof/AF+99vfTlrl59Lq2DtiMBgMU9ilsZ06vyStlhlPG9X5JM3MYs0pE99Ho+0fOl3vdYu68dY2SyHBpQaiaD3LqDWoEqhJFylZHSTtbiCtEvkymRtHrW3pNybPamylsKYeV+a0BoPBcAaI8lhcj5OP8h18cQ5/4gtfADPjS5/5DL7/C1/AD3/5y/iez34W3/e5z+GHv/zldK1nxv/x7/09/F9/+ZfxF3/gB/A/+5t/s0jrCx9/jL/xkz+J7/7sZzeVhYjwvZ/7HP6bf/7P49/6238b/zfn8GEY8Hvf/jb++o//OH74S19K7fY93/Vd+Cs/9EP4n/7Nv4kf/cpX8G9+/ev43EcfbW6HrZjdj/nEme4ZBUjnGeMb3gPuubPL3vdr6ZhevxM06WbzvrBZY1tra5d0kCmitzwQQnxqhW05PWy06xHXJffqqMRrg4IQsjnvVATNbuALSSU2n2hn0+IpHkuf6g2imIdzhJdhwIdhwOByxOMBAME3Xy1KbkP9el5FOGEwGAyGfSAAf+1rX8Of//7vb57/MAz4/Mp9bGtNq5Db//5f/sv4xu/+Lj71Hn/yi1/EH/vMZ4rrHBH+ja9/Hf/8n/yT+OR2w8cv2zaHaK2DDPtgUagNBsNebNbYbiF1WyaA6YlDHXvwxDIXObGFOvhEi+D3iWl7P9e0l+1MZMNEMJV8IKlD1TY+8hlyzHEcHREG5/AyOAyOKp9bFCbFVc2rz1bNeDKqmvjdXlEiVXkpj2A7JhoMhvcIIsL3fv7z+N7Pf/6wNP/gk0/wxSooFBHhsx8+4Otf/Wr33sE5/OABWwztQT/AEzAZ/LGwWjs+byOQhreIewqg7hn0qvDYu96y+CHYpbGtj83dk0kJCuLSG0aXh83XGPuFnoXNESVVveS76wTSGLd38Gf1yD63Ra1nIwgG2iq7XpCoZ9OWPZxpLGVyK3m/aFIbH2vwsUX6PZVvMzx5rmkMqjaVwnXfXlsOGAwXxpO/oD2XjUeTkUFtzZbiKpwAZsYfffopfudb38J//Ou/jv/2P/fPnZLPw9FrvpMftW2LYzA8FqtJbfwhoWve+9u7mNgOqglrzZRo6CYhJCuRWv2j8RCrQbWWW+qrmTgGIoraTx30iAGmrNnkyTLunYSLiq1Kt9a2arS2EdBw5EFgOPKh3gAkGNQI0ZdWvpMyO+bqHANhK6B4DSeyGWySHRFeBuDFhbyJgIFkQRP7Q+fNoqIzTLfJW4PnaU30HJIF9+QFj9vC5ZGYtU54p+3yzNgjLGxtl6bPO27PBXsXAmeTgRxQr902skVaLkNpMcOdrd+OwL/4p/4Uvu9znwMA/Oe+//vxPRt9Zefw6j3+73//7+Nv//qv41/5M3+m8OM9Htvcq+T4XF+cw/TWiLH/TnS3Je5dW9FWJKzD7Hsy40J11ltmhH6M8XaQIWApOH4uwK7+tuHeNRaU547Z59ebqu+JiZy65Alv4RSp7t55p/XYYmJbS2BHFG6usPp8dWnxsxFdaE7z6Kmk2lnXGDcLVrp6Hj3xIxt6XTpLzLsnwYwh1pCLOS7Ul+M1+nDgVeGewiyW1AseSecrEPa69b4IMDU4B+eidtYBjhgu+tNSNkLuWodv9cc+Cj3z8DOxJ3XmqA3vXfQO+ZstRM7DI96TPe/9kn0qCXGP7PSPco6YC+Yzl/aJY1Zv71JmWZSXi/NRdTYW7/bxx/jOF7/YveYv/MRPACB8QsA/88Vg4vudlN+M9dCacjHwr/3UT+GvMeODG/C6t8knHrn/6MNIWLgm+Mze/tC7PxlXPSBvYN80M/eOdc+KEmBj2nNt0m/zfWPePQnV0SjLypE1rbOcO4Pk9d7HnsBJ3382yboruVWPZEZ3dACqd3FFd7gUsT3Df3YioVWXtzqnDurAyfsztLtP34pUtpa2i/4wXF3b0Fp3TbTzjeG7c6UmO6ZRJsnwzGDvI8HNKAUXBNAArxZK3nsQEYZhwOAA5zhGQKa4TYOSxswKZN8hAzsI057JBoOhhyTNfmgpzoFYLQkBHu1LvgO/87U/h9/5s1/LeYUMF93riECVmfKRuxjsmkvifNhJfHvaBoPh4bjyWvPKZXt2bAsHiPs+lJ7UdN4Hl9O/QNA0cmWte2ZNNqdNFPxeO+dlSx5ybtQGDqWfU1jmMBwYcBQndG3q7IprCQ6eGR4E74MPFYgwkASOouQ3LSYQ4S+bwk2hteWPYQY0IxSz9jQY3jkyqa3dPfpi0hlEcroJcd5gxLk6pqch57Zg1707XEMMBsO1YcTx/WIzsX0UWiYdLeJbbAMg54TmxkmfxT63Su9ITEmnj8hHB5saaa254jq6XUgM8toIfsmB2N4AxBBVSSMb/GgJRBy+k5Dc6ItrLMtgMBjuiOz+0dSKztx9pJ96Mfc+0eJy7T6XVzYnXbQHZsdcc+r+pXV+pudueFtoWXAC02txwZXe58XvGSolXVTacX1iJ8q2CokXrUc57yss/5+O2M6hP6CKzkucq7joGZP9YFeHp+LrqMNOJD0lYU+kkfp1JaAo96qJhoJmW3qpIxd8bCn7z7roKZ41ttOhuQzHwUyRDQaDRsOLZby425X++jgUU4vLt4S3HGxoykruLdfZ8FxojSna5WHvGPSofr41X1KfZ5Y8tXEjf0I/cNW95oE3R2x7yA88EFzRMJbnj9TgNlYcc9ekozM+za3Fi/qZpDYpa15NPcU/imlMkIl81N5KJ8+p27R3Dnrtui6Ug8FgeFvQY/T4zB4rmvcSWfzICKyPJn9HPq/38OwNz4s1UZA1rqrBXS1ElC86eNSJr2yP2F5lEbqY2O6NOLcn7b3pF+lIpOQijvCSSH1bvHIXaGcnYmQvWYiMrmD9taTo600E4nKoJfkKe/9kCRG9PW3t3FZLLTxamt30br6XM/mD8Og2NxiuDhp9KVHHPDjmdapHo2lbk9q6qHFJB2N3omNRpy2WSn1B45I5Y7NmJlV54v6TVTZ7x9zZ6MRT98k5G+4NEfO7scwkwHMLpH2xCRb05s75meQb2cnOpwc7VI7zrsntnUj1UhxGbIFt5HNuH8ol6a6SyoSj9QGVVvnb+9z3t2nFpvMCTRNYMf3twZPaJ2/m8ax9NKN2qk5KubO/sj5NMxk+bmaak+4dHdZ/Dfbk3SS17wSmUTgez9qm3XITgb0PvkClh0gObvSGhCTJtwz9cYEqIei4CbkfyDBMCBPgGSHtzNyv/t1y/1zao5T1gdHOBOVc3n1Dqj7WOu/LTfeqcngw9/bBnXFLmXl9O0l3I1e3YpgU6e5dy82lwdNqiNDPpivGME68BeUzc/EhLQ8md++5JCljZt4hdUfxkY66eW7ST7W31gSI1RWkyGKXECs0LqF2VZbdnFPpXltv/boww7vi6U2Rl+xNNrpn9GXq3nxNQW6PfIidtJaQ2146Z/e1ybJ1TdfOn1q2CkKeldS+ZzyagO2KyPqgvI/O9yp9d8lcQCCwkBIZ25EX1FuDBW2Zh9Zg15Y4M+f3uzHMk9ddptCb79yX+J52mXP8mV1HdE2swt71E8ZeC8qWBdLN8zv299w7Js3t3wvMPZOOxGFuC8XOuHb2+31VNOtdD6Bn5LEQdX8Zp7VE4zO+JgtwNhetmzchxrGpjgmpXdQmPRnunpsVpvr1KWuPA9+hpye2BoPBYDAYDM+FHdog3n73nnsfC87mFQaD4XQ8WnGwFU9DbO8tEVuS35YyPUNHOdOf2mAwGAyGd4+uye20xneZ5rKT9Mb7LgNbfhieHMwoHECeaU19Wllz8IDdOIzYnvlgHhZ2G/PtvKZsz9R5e9hjqmQwGAwGg8FgMFwRj4i30Nuq6EjU9ar95h+5tqeDyO3TaGwfAh0rwohcgrWFwWAwGAzbMev7PBf0+OlVr1sxV3Fbnxj248yYKS3X3isrjO5VrqNyMWJrGOGqL5fBYDAYDM8OEn/RKczFvNnpJ/u8nPh5S254P5hdQ3MZmKqlrX2kFezWvYF34yByf8h2P0QE73uh6Z+UKJ0QqGAq0l7r+KPbbXv+c4125uQ099A656W6nINUhCawydSwHg/d0/iBUXivDkJ7K5Yz49Jo07Yte2S/Z3TXHsB06FLmFI9Z/m63G+h2A15eQM4lP7fcH0j9eyJoJk50h7ke00fXRUW9Qj9dZqb4fPUyPClmd0Cb7luOSh96IoDIRWIbEuh1zbnXYL1FL6XP8E7ozOuEzntngib7jqbIvcllCft/xgGEQHA0fqxvNbS7YPfzIgZwO6w8Zdrpn/Zp2aF6EnN9lfM2D6NkTgwnadEe3xSemdRKGs84Zs/CjYlLkmcR4TYjoH3rY/+zIT27yeMExwT65FN8+k9/E7//y7+ET3/nd/BdP/RD+OjrX8dHX/xc2L2ECL4TsOnuIACTW4XGUkqlV/fJxqJGn+3080e/A46yMGIJ8v67wKnzt2ETjp5jZN4KfTSs5GjrvlgdpO16JpOm9n6vBViRWNnmR8o8k3+3TpTSYObx8MCAHlzKuZAAzvlzdUXQ80yXL71nW0HH9AkzRZ5AeDkwkryUL86ydPaW4xHYp63dGbZxQR59U4mtyfb3LtP7Gh8Om3AvizdJ8A7ElOXJ1bBon9uZfWwfuW/xWXj2/p20rtVxAuBuDPqjb+JbP/t38f/7xV/Ed775R7h5j2/+41/Dy2/9Jv74v/Ivwb28AB4gV6zmRljTz4/Yz7WzjS30wnX1hJduad+3p25nWopwWmavb9vQVuukx88yri3Flj55j3XuaePPtIZiMSbLJkvcWQLauoCra8KxbKk5n+6ix8IT39HWx7ayXHrsMBy0xjZiazAYDAaD4cnA8DRt7OIY+Oj/+xv47Z/5GfzWr/wK/KevICI4BvzrDd/6xjfwh7/12/ji930vPIKh0TOQfG1m+GgNqsFg2IJMYsMnjT632x0C7CNHjFu71JpXnQIpakuF88ZUqafZJ62ypzgPpxDbt+q/0PKReqt4s6aIBoPBcBE8y3Zxej642twQFZjJDM4BGL7zKdyv/xP89t/6j/Gb/+Q34F9v0cwuXEwgfP77/yS+8JWvBLLr6BILMsEcYTVyazBcG9NjpJgdl9cVgaO698+DiYObfpT6LSHJLfecKfSMSdaUejRu7dSwC0xjuxL1g5jrfFdaABjeJ8x912AwbMV1SVMgqMxZS0BMcN/8Fvzf/tv49f/0l/GHv/eHIDg4UI7HRMBnv/hFfOUv/CW8fPgATi6nV61nG5rQGrk1GO6L3sreueDDOs8PWsdoNs7NvMuMCoDqXGPv2mVpPSuM2K7EmsnkLXYYw7VR97jWfmkGg+FxeEYSIgu1S2lro4aWovEc3zw+/JNfxx/83Z/Fb/3K/weffPs7IB7gXCS1zIAjuI8+xhf/+Z/GZ77vT+CGT1Jyl6lXxBIfz6uR2yV+7AbDW4WOwbM0DszUVj+bRyNJJ/rpM4L2NpURbUJdosNrZlUlK6yQFl+5DkZsN2DNBHi1yfI42AR1JSQz+eZJHGbiYTAY9uOZ5oUmYWoNNDuqpJOjJWdSfEIXvn77O8Av/Dz+yX/yn+D3f+u3QTcG+bgI8zkNRwT6s1/H57/2dUzHv74e6v5Sa1yuRG4NhqsgxmXafvPUvXE9VXitRjI7pW1tHxufE1K7mdqyENlAbgnRJDlFU+/7wVLXhxY40sf2rGnQiO0MQt/uRcvdbopc72eopTzXXvioyMcXxJ6J/aqLgiWRKpm5uVgjEdGdVLe9/iCGbXhUX73qO7IX0yEzMo6s+Zp35tFt/vr6im9961v4zKef4jOecfvs5+E++1kpXVw45a0lWKkIli7QmJDMhfMCitMWE1H3EOZkJgzDAP/KoN/9HfzR3/0Z/MYv/mLU0jIG0eOyJBiiTN2+/N34U3/hL2D4jMONfNq/9hkMW7SPc4BeP8QjPD/UixXP/BI0aHzysyhSWVzuK0Ge81ZLpke/h5dAZkqXRFpHyxY6G9Oh3PnH5xhwrjxZk9PRPaNjpVaXqs8FBZw8QZTpafjM/ZZBoI39OI3NS+/PgQBiyeqi5tnhyDfLiG0HNN2vAYRn5jf62LZMFe5JDvbtVcvAnLx7JukrEqFnnrS6GlsA8OeZELo9ZjOG03DFd+zKICIMnTbr7XH7VvdyBwCGB4Pxq//gH+DDz/0cvo8cPnzhy/j89/1xfPjhP4vbl74I+sxHcT9YIbWEsIcOUC6rxlMDA9nPNZLbvMjjEOLz/8/enwfLkt33feDndzKr6u5vf69f7+hudDe60Y3GRhAgzAVcJIoUBYoWSZGWqZFGM7LHm+TxKMaemAnbEXbYEWNbcihsWZYjpJE9kmxKJCVyBNIUF4AUV4AEsXYDvW9vX+5elXl+88c5uVZV1nbr3rr3nW/3u/dWZeY5J0/mWb6/FQMYRL0uQ4HdLskrr3Hnd36LW9eu0e12fSAoQ4p/nkgeVCpeWuL8Jz/O0vlVUtmHzLw6q2uC6X/eJrfT+OZl34/KAKRa3GuZn+RKHmsLTdKAa2dKUzlTv0mj4dHoMVjL3lkrx+p4t1ZXSJxk9N+feAmU/3uBIUDUQE5HwTTk3RmkaR183uA9vvtl8nbm8C4T1ozWZg7bdSnO5SKnkuVctrnr7bAk2c0joBzPoLFtmRAub2t+YGifHeTbFIjtLMjHzGIP8LnhHr3tgICAgHsHwtJSh0unT3P37l2u9xLatzfZvHKFU6+9yvKDD5I8+xydjQ3EOGM0VYtmZrG1daIWxiTfJ2faBRVHMoSM5JYKEEGtYq5cYecPvsCVl19lf28fm1qMiZzIVZ1e1whYXL7XKDa0n3qGjUcfxYq6NmLnm5t8QTEPDUlAwKJhYg1oQxmHibnW6SfZMrfMBH8nCYHYzox7bFUMCAgICLhnoKpYq6xsbHBneRl6W/R6XZKkR5qkLO/ssH77FvbZ54gefAhix1Q18xTz5LG+dcq0hcb7hAlgpTB3M16FmJWDGnR/H/v661z5rX/JrWvXSa3NiW+uCVApbIrElbBy9hyXPvIRpBVjSb2G2Fu5nKw9XUBAQMBw9Jnhn7wJMBDbgICAgICAGTGO+elxNF10TVaWNjaIHnsc+4dfJE1TZ+Jm91Cbkr7VY217h5V336H14IP0zp9DOm3UCDY3W8w9ZEu+WoVfrUJOgnPtLWBM5Mjqu1fY/8M/4Nprr7O1uYWqYD2JNc4G2psPlso0QhTHLD39NNHGKgmpM9fNPc9Opsq28V3MDw0zsywCUJWDUgUELBIGvePhPR0N5ztc9NOkbhPjuN0cNQKxnRknc2EMCAgICAgAR3RarRb3vfBBbr5zhd133sEqpDalu6/YXkLSS9jf2iJ68evEq6voxik4e5bWyhKtVpvu8iq6vEIcR7TabYwx2EhIxDp/V+/jLAhWFTVCapVor0fvm9/kzuc/z/btu6RWMXGbNLVY7/9rM/M6E2NEcn/ouGU4/8yz2IcfRo2C0SJo0ihn1ICAgIBjhlGBq6yloqQ9iZHUA7ENCAgICAiYEYsgqZ4P3KbHWsvyqVPEH/4W9Fd+GTY3XbATa7GpkmqX/dQSRYbdO5vw5juON4pxwbNaLUyrhYki4nYbs7xMev4C0el14suXaa8sI602ph2T+o2WuXmL/d/7PO++8irbW1uewBpUXVAU6/1qnbZXSa3Ng9lFkeHUxUuc/cjHsKdWMZF1mX8ETrpz7ch3ccxASQEBi4qTO9/OG31OIUVU9UGHazgO/R6IbUBAQEBAQMBQOOWmM929+OijtF74MFu//zvs7+zkkTyTJHWmxBphcCZvahVRxdoU3e+5c0Xz8syrr2Eig+l06Jw7S/uBB1k9e4rl5Q5716/z7te+zq0bt0l6CdYW9lFSiracJ/SQPHYykTG0VlbpfPST2DNnEfZRLakqMjvoE0xuAwLmi4MQjfQ5fE5x/eivAsqoB/QrRfkmizlwvDvxUIjtovoejat+n7ZtB6Her5dxUP2kqlO3T/zOYnh6hP5ImAeFeZtMzNYvi53SY159Z+dY9qwo8tkNOc7oV3VR720UFrHds4yvOlbW/jmdzh8cSFnjYNxUB0Ovz39MfTXWnuL2rf8j0JqhJZOhHJVYjGDahvZTT5Bu3qLzjZfo7eySphajkKQpqkokEcaAEeNTxLhSUmudmTGAKJGCWsX2dki2dtl68x3uLHVora9wa2uT7f0eSeryc6sYb0asGHUkVrw1cWQgxhApiFoUy8rT72PlkYdQEgpCK3m0KEVGpuMcdvgox9Yo08Fx1qAsz3D51ML7eWTSjxFnDJ9VZ+s3nXEMNaOp14SRCQ6PDAKHm1ZWchuJAyhspHpwssNl5/0x0DRWJk3lM87xwnfdn0O1pRmxFKmuk4P2lsPG0qAUQ00pqsqf1ecCG7bSjZcFprReSP270dcexBZ6LsR2kTf3i4JpJvhZbeEPjhRnDuhDzziQeg4bB7npvpegC+6rtrgtC5gFS0u/ztrGPzjqZhwqer0HuHP7z6PaT2ybcqbPhtJmw+/EOmtLbHzwefZWOsRf/Ro7dzbRxKJAmlpUINIIDBgriBqsWmwKKWD9GpHYFIzTsEY+52J3t8dWb5PN3j49X6mWAj2Jz8IYYdwRVVpiiKzFqKKiyOWHuPjRjxK3bL5Jk0GhmbN7ov/QJHlt54Gm5znLWu7yXA6ZF0eaKI8QWh/j5dPFHRscVOcob2tk7l+YOa3sdO/TYfTKqHe9dnzgqcODpM2DvI53vCC4Uvu2ILeNRRfXDCGteS7ZCecLFR36KjnB0uiypLJg9B1tvO4geEowRT5GmHVBCwgICAgImAkC7Xabc+fPs7uywm57ic6Xv8ztazdQr9ayalEXOJlITJHKJ/KpeNQdUxS1lp4qxijGxMStiL1elyR1uXARv5cSiFSIMEQqXmOrGBRJk1zYGq+usvrRjxN32lDW1g67meZtXEBAQEAAkwhQjnbuDMT2CDGpJH0WjW0gxAEBAQEBsyKzbDHGsLS8jLzvfbT2u+xv77C3vetPAlUXVErbbeIowkU9BrWO8fZ6Pax1JDdVi7WKEZAuJKoo4r6L3F6qZSLaYjAWJHEXCtb51ao3j4yF08++nzOPPASRes3wICNSqf0jb/eQDwEBAQEBxwALQ2wXMTdSPZdbP8RJlIcsgAdt2jpL3q5pTZ8Dxsfsz3scj8+AgICAo0N5XTTGsLSyjPnQBzl94wbvvvQNNC2di9LVBGm1EGPo9nokaomiCDRGkxRrLaqQ+gBUKCwtrxCh9HoJalMiETrGQJqiiUWs87MVnK9tJIKKcubiBc598IPYFqiUgkV5v14RyV1ExYAxBmMiet0uOzs7dDodWnHs2174nDb1wyxYzDW2/76Ci07AUWFcf/LB5zW5zDXXM6rsSY731wWD7P4zNiH9h0b63B4UGhVoQ+hO2ex5EbAwxPY4QmkmMtMeGxcHEUQiYEGwGPNBQMCJgSpsb8PyskuTurMDnQ7EA1Y9Vdjbg9deg91duP9+uHDBXTcJej34hV9w133/9w+ua1hbu12XY3B5ebI6DxuVdUUVYwRWltl47v3cevNN9rd3cz8sBdIkRff3Ma0IExkuXLhAmiRcvXrVmSeLUN7nRVGEBXqppd1qEanh/OlTbKyv8srLr/joxlk7XD1WlM5Sh4vPPENvueM1teqDsNhS212+XB+NCtncwt66xc6LL3Lzxg0uPvMM7afe53PiCmmD0Po4Y5xNeeb6dNzvNWC+mOc+86ADsB7WnnjceobpxeqhuQ7TDXF0Pc0+soswXwRiOwv8ajxTnL8ZTIsDqQ0ICAgYDGvh7/09+PSn4b774Gd+Br7lW+C97+0/96WX4G//bVhdhZUVePdd+MAH4Cd+AlpjBiBWdeT58593f3/nd8L6+vjt/cM/dPX+0A+Nf82RI1eAKu3HHmP9vvvYe/nV4ph3qE2ThFRTTCtmZWWZza1NUk0B46MdOx9c69etpNtFRVjptHnw4iXWV5acL20pFFQWXcXiNMeXH3qA1qlT7MUGMfhzLYUpslszoyjC3t1EX3mZ7Zde4va1a+zt7WGtZXPjNMvvfR/GGNKMEN9zS6mPfVoitxkWYdMasHiYx35zUjLXd25dGzpDIKhZg0j1nw/Z5Fm/VBZAy9F4P/VD9SBr2hA/vMHC1R03zcfHxEIQ23EI2jxJXKNmNf/RcLyx8MFfC2BnWCTGGvTl8ktEWErfTVl7X/EVyIiIkjLbArmIZuuzIr+jOWv554GjltKNjBo5LCx+UcDBNmgMLGoKtJOGV16B/X03rN55B7a2+s+5cwf+zt+Bn/opeOYZ9zpsb8N//9/DZz8L3/Vd470iIrCxAX/1r7rPa2uTtfX2bdfGRcOgd7WiBfFa7V4UsfK+9xG//oaLdpyd4qNsplZJugkvv/waAJFp+yBSBtUierG1PmgUhu29fd69dpNrYunEERK3UJsUWl58TlwjdFZWIOkiasGXiSltuhTS27dIXnuNza+/yO0rV7G91JspK2IMSRQTiaPQB5bR5BhBRPzGerDG9qjn+vkjf2lrX43YkJ8g5PvEsbWOR2ASO+b1Uvs8Ocr1D7p++HFX3ai9avUUyX8ezbs2rM8bI+6XDgmMCJo8gMlPdHw8HDmxHfXijkPgZnn5raqX5w6Y0ADUpRoYXHGzvtYtzQ3HVVFbzhwnzetoOZT3gKbWG6eSpWmQkhTFCwpMJk4fVE2zMEFGENPmVEDQF+N8AozyYz3WZKBJgLLAm4lFjtY9SmgVHWG7A7ldDHzuc/D00/Dss8UUu7YGP/mT8N/8N/CxjzlN7jjIyG32dxn1xz3s0WbnDTvuNh/jtWceqL+3ai2IIUlToosXWDlzmttXr/vVTJHSTkcVumlKEU/A+MjHxuWfzcmkgqakqXJrawsRaEURsYmR2GATi/Gpf5SUbi/lpW98gwvbm5gzp2ldvgTWItYSxRH29h26L32TrRdf4u616yRJiqgS+bUoiiIuPPooKx/5CKn4ZEQy/Tp1nFDXyNbfr6Z8nP2FcQL5X3b/kxG+k4JR9+vkWtP3SdMKPVJT2kcmq3tkM5MWtt46rR3vU102llcv2zQJz+TohtEsWvJxlE6zaMbHxZET23EwLw2d5v8yDaQO2IyMItUN7Rr1amrttyejg8uqVqY0D9qscVk+LPU7BhFfR0OirFFEpZDoNVU+7KBWfk2FeY/4I1uY70EVQUDAEUIVvvpVR17rOHfOaXvv3Bmf2KrC9evOt/bMmeJ7a+FLX4J/+S/d3x//ODz/vJtDRdz3P/dzcOOG+/w93wOPPTa8nnluPiZDifypomfOcfqJJ9i8eQvbs75uxfoox4iiWtK2YgHj+8Eg3ju2RLWcAbLCfpqSWqUdxZgoIk0tggUEq8rm1jZbL79Ma3+P937qU7QjgRvX2HrjTW6++Ta7d+44QluKhqxYWlGL+594nLVPfgfpxgZdmyJG8tpPGpreh4LU6sDzR2nzFlj+eiCYX67o+WMW0tBIRph+12Ibrx1d6qy5aEflmW0uenqBft5nAy7P7Cr7DtV1b43co3a8ohVu1piOslIdhabyxf837fXjYuGJ7Tikdiaz1hKp7a+vWXM56pgd8dJbMZT1xU0PtEzA8eeKDI9sopl5VS76Ef+/5Nc3aWybtaJDD42JGQpQYXD6hnLZ05Zf1mwHBAQcR2RT16ApTLX6fa8Ht27Bo4/2z2txDA89BFeuuGBS4+JXf9VpfL//+93nJIHPfAa+8AX49m939fzSLzm/3h/5Eff5/vvh8cdd4KjnnoNTpya54wWAF5RGcczSY0+w9pWvcuf2HbIEtKqKCt76qdg8ZQTXEV+/zlW0flrZyCVYxKZsrK1hANvrYbtd6ClZ7qDl23dY+aM/4vbtW9y6cYPtrW1Sa4tNlRSbyvbKMhc/+GFW3/886eoKKZbMVeYeU8wFBBw73Gvac6DPWjcnsVIyMikfVybiqZOef1DXZtcfhG7n0IjtOCbH05Y7i8a20Zw4N3sdLqVrNsllqAa2fJZmPi2MkgiW31Zp9NHNiXpZqpQV4W98uCncKI0tTvM7wSMrypv1rR315s9AbBue9dxxDCS+AQHHAZub8Cu/Anfvwle+Aj/7s077+vnPOw3s177mzI6ff96RziQZrJEVccGfNjcnq7/bdf/ADevf+i1X51/9q0XE4w99CP7z/xw++EFHaB95xLVpZcVpc48LsjW0UNpa9OJFNh57gs0/+AKaOroq1C17i7lW1QWOyogt1GZhT4qzqxK1bO/v0mm3WV5ewnQ6dHd2Sbv7CEq6n/KNF7/Jzs6WM5PWTLNjAMlNo5dOn+a+b/0o7SefoheZivmfiGAbBagBRxFtNiDgpGOskVQit/kwLG9fy8fHLbNS1vT70Vl35wcxkyyExnZepHfmNuj02tqDOF7GIPOhSfJ7lf1mZw8AMdm1YdELCAg4LESR05iquvQ+q6uOoGZ/b2wUBFPERT1O0/5ysily3KjIg5CmTlvbasE/+2fVY9vb8PrrjtieCKgCFtpt1p98ks7XvsLuzq4nvuLiOHnNLCIuCrIqVizqjZDFGPIYDAO0D6hi1bLX7dJLErqthKV2h6W1NaJum+7OLt1el/1uF19rUYgYv+EzbFy4yJnv/B7MA2dJJBPyasVQLvPgvRcxKCJy/VhAwFFjkeN7HBVm7ZOTMLYPhdguAnEdWC9Oo5mRxEET9jxz0eZXl0noNNcPPDgoTL/k/raj3XPH0dpO0NgDwsldVCv2dwEBAVNidRW++7sdqfyN33D+qg8/DN/4BnzHdzgtaYZOx5HOt96C8+erc5q1Lqry93zP9G1JU+dz+4EP9JPnT37SmR2fBJRnrtSmxPfdx7mHHuKtl77h5mt1AYoVF2ymcK3xeWWN/zYXwOKnRK1qegvVMGlq2WGfvTSh02qzFMXQbpHuJX79K9mdixewGuH0ffdz8Tu+D3PxAntm1wdZzIi3J7QKzaH9TzAyoUIgDAEBi4t8apPqd5mrhfafOwpOBjjnPXZT0Qe0DT42psjjBDOaBkpV+9lHbN2X09UtMvohTWs1O+INyNMV1OrKCOnRLlnTGyM0mYYX187gY3uk5mf36EYqIOAAsbvr/Fm3tuC11xy5fekl929tDW7edIGZHn3U8an3vMed94EP9Jezs1MNAjUposiZGZeDRWWo+/uKuPOPNbyVUxrHrDz9PtpvvE53e98JJMWR29yFRsFEgorBCogx2NSSRY7INllokZdAMttnX4CmxmlwtUsaWVoCneVltLuP7XVz955Wu4UVYfWJJ9n4lo8jGxtY08vblVVQJtFhNg4ICDgKDI+eAzUq23+0pnSazsd2ene+Rt46Yvt+6D62sxB4VbBNrc0iJg7AOIvMTP2gxVOvkNShtuZ1LeiIohukvtJEwioL+LBTKjZaAwqQ6t+5Vjr/WLm2Hip9aPWDJEKDb6D4q7KDMzQ/teHkctR7OM57Ojqac5MgY5ayjw7zlMAdhBZ9nqYzR6V5OIg+nzWP32HXuQjodp2m9fZtFxjqlVdcZOPr153pb5aS55FH3N8f/zj83b8Ln/qUM1kGp6397Gfhfe8rvpsGUeQiLv/qr8JTTzkNsYgLWvWbv+nMkB94wJ178SL87u86ze5xIbh95rri7s9aRR55hPMPPsi733ilmNJLskMRiFstNLWe7BqnuLVeyFxb4YxCNdOAYFDUWq8BTiCKaLVjjIEuFrWW1dVVLr/nUW7c/zAX3vsEcSdGsd6HVksBFX35paXzKMfCUdWdb4TLZllZNGTmS/jHuedZzMPH69PjZT0lMCJ36Pwx7f581p4eqSIZuQY21X6U74A07CWl9PPg63X/T3vvh+FBOxpjE1uL808pogiXjzbze4vBNkXwHfFyGexwRiHSLN0YcFlFmiGClCTCmi1sebtqrZvgeZfLGgSLMCydkMueq43vQfn17qumJtku/s5MvUxp0Pc3slki1PxyDmlRqVlpIwOcZT0Xn05i+PGihUNqZ7bJbvGY7bw3SMHPpR+jfODHLWNazPo85i0ImRbjtGtjA37iJxxBfPVVl4/24YedBvZTn6qaIoMjly+8AP/lfwnf+71w+jT8/u+7gE9/7a+56MjTQsSZHN++DX/9r7vyjYFf/3VHmL/t24qp8Mkn4X/5X1zE5KefdhGZBxHco85jW0d9Bba4dDm2E7P6/mdZvXqVu3fu+qMmN/FtSUSkSmotRoTEAlELJCVNbb6ECUIEtCLQJMkJl6JeSAoGi1GlZYXezg6tKKLTWWJtY5XLDz9E7/0f4NzpUyCWVHqAYvO13Vk32UxTUTeHvuegiPqsCnkQysWAnSFrwfhz2jF78DKaIM6SHmwUmlL2yIjyZu3lWXKiZn71zcenRxMvcVlNmjb3I8QBI9pWYWRT3ceUQvEZJRUqB5HsZwqNbfG7QSNXg0UaU9+4soZdr34hHHxcVBvLHpQ3qaqoVK+01RJRLCL+arb4aXZsfOTXDj3edMxvF0aZOlNaeMpRCukXN2Rn5yZeOdxmo0p9G55XQ7sHnSE184RRZtSzYLTv7yjtYpO2dq6y6jmWHRCwWJinNjkruvx70N8ZjIFPfxqeeAJ+53dcUKfHH3ekdhYz5AytFvzQD8Hv/R782q85bfDHPgbf+q1V0ry0BP/+vw8///MuEvPly8M1t4Nyi46LWfPajnILyiw4FCV65GEuPfoo21/+MkmSOgsmI6hVVJQ06bHabrG21ubW3R26FhIRTBRhraeeqhgjiFqydGzqCa+xLuyUy9IjpJqAGJIohXaL7Z1t9ra3iHe30bMb+fpgPbEtT7vq9c/F53t7TpYBf1fk5YeM425JUsZBCoLzfdsMRc5bMD3P8qfLY+tFWiOaNWu7h9G0cfLvjtG4sVtxaDiI4DsH8K6MT2wpJpa6NmKUdkIFp0UbmsqG4bYUfhEaSmwRTJMGccBOpvwpK7mQzgrZepdZKU87nSq5VdXAlru6hrVdSRsIfVZC5YrSMzAVTbYn65lkT/y5Q/pFccKIZr3mcMlpkTt3yPFxfI+nxGhtRnPFJ2nxDAgIGA9x7Hxsn3/ezfvGTL++GtOv5Y0i+JZvgY98pDinXr4IXLgAP/VTxefjhvqGzcYxrQ99mIt37/D2q695TSuogVS9P60KF06fRXv73NjaJzFtMIL4aFOCcWQ0LRya3OopGGvzL3zCPBRLmoL2evS0x1vvvM1DpzdIL1905VJoFrIrsjIU7tmYUQEBAQEnARNobLXyu+94E2HQbCEZcq02Ex0Lw4UO2kyyDFIxnTXGVJqRB00spcOpFV/ChBrbEQQrk2oPOz7K5Lfenmp94tX6WhD20i8XuKQgzsYY7w+cG2f1tazcR/V+GpZeaOCdzdF0dZZozkftExkQEHB0GKTNnRRJAl/9Kvz4jw8uf5Tv7EG04SjRn9tUSc+eYeP9z7F1+zZ3NrecJtbvCRSl2+ty88ZdLp47x273GkkvRa04QyLjXGbS1GJUiIgqJn65vZIWZmyZUNamKaBsb29z7c03OPf+95NurPn0QpkRVslSKVPgVvr/GD+MgIBjjPGsc8L4DOjH2MQ2SZKGo4rqgESAQCZb1QaLc7U6nASKuoASTXVXP1bMbbVmO2OtzQdDbjJV0z5XW18yTlJXZq5llWrZfU2X/vKKz5JrwXMz4jIBRQs/2+E1lEvO71XEXSlZe0vnZLBa1skqaZqWTh2gza0ECBrDGLlhUppnyp5RZQ96JmUsaiCigDlhTs/z5KalOl546KEiYNPFi7CyMp96ej345V920ZjPnDlBuWmnQFW46ASs8aOPcv/rr3L7y1/N17zMJcUCrc4yDzz0KO/euEO8v4sVcXE9jGf6JoLYQOr8PkUtYFGvARYROp0O+92ut5Ry2l21Fk2Uu7dus769hayvoGoRI1mI5qLdQi2CaJjrAwICAo4bxg8eVXfar/imNG3gfJCGBqf/RhdbIHXqxYHHcrOierv8IoU4rW1Rlw+I4ING5cSydnn9c2EuLcNPrsHWT6nUpaRa+O/mZLx0hukXHzcg20iX2iiUCK7mZmBo2ctVi7aVGyvV51UndDLKXquJMDRoTWfFeNri4cdmLT/geCE8yZMLY5xZ7+qqm28+/WlYXp5fXY88ApcuwbPPOr/aexF9c6OQq6EL39syDCrC1t4er77xJju7u454ZpZWmgIRaiJHcg1okiI2kytbz32FlaUlTp06xfbuDjs7O6h1QSetVXRjg921dZZVyWN2aGkdK+0bis9hdggIOCqMVlKE8RkwGGMT29QOJzqa2RUNgSN4U0azUxfOv4lFRqWIy1VTKBAjfU1zPE9Rv+D2BcKqt72ioa380diuPn1rpS4XEbkSjKumXdX852AM87HN9hJI4U8kZeNi7+Mq+dnluh057o9zXW/bcCNtwTS+D/OM6jmqbBc1eTqNbZhITx6CoOL4YvPOT7Gz/X0jz9vfKf/d8KxlNipz4az7ffdW/zGFUhqbAcfGhOoSqu0pWnd0UHVa29TafgG318zeurvN7Tt3UbJgkILBoipYtagoKhFiDFErglTB+9yKQmSEvd1dzl+8wAMPPsDm1iY3egk7e7tsr66w/JEP0+l0XOQuoy4GlZcB54ZS6kJI5u47925Y5ICAhUBYmwOmwfimyH2rcXnSN4g2mBrrqKxITSpbRc3woxlhy8xqMw1oRnDEt7PMSTOK59auEkXrkyYDavK2qRY15nVRJYTVb2ra4Dx0vvttsY5ADgipLyjpCFIr1t+b5M3P79uR5uxmqzs291VZUp3lIszuaEC9Wv9Q+kKKe6iePHhSaiTreVlZmydjwKOCss1CqMsRP6fFSZ2oZzXhnmefNpVtIU9pcdCYuynyHPt0zi2frW3+2m73Seg+OdnFMiKdwJA+PYhRq2ViO77hz0IhF56OOY+5e3WCUpt6NpnJV/3fKm4cmpLzjaAYddkUVBWrLvhhYpQ4btGK2+i+oqlfiwSWljusnj1D8vSztCLD+eU1UmuJ2hEmhlSTIsFCZtFVWXRlYQJHHcTcMewZLaqLhNZ+90GaDgZMi1EjeVQClvLxQeqQWfY8gy4t4uLk3zS2rolbzAsnc5c3fxzU/nhsYruvw08VhKjhuCMytvxFhfo00V4VwTZp//LyizTrGbkFUCtEUgwC8aaoWYlOI1srrfK50NhmbrCaf1+X6IpXhnqyqcV9qyopVMitrRPpWjc06biNCnGJ1udFqPsuVcGqOy8zxxZKelvJiLc3E1fr9weOGZq+Lq8R15JJb27anQWXqv7oQ1o7Vn6ZBZf/KxOT9PfBqMloVin7yZuSgr/ncNhj3C9Nb+oiP++DILUzFNB4uKlPRXMl3+TVArYsUT1AHISwbV4xETLyKgq9Xo/i5gshsHhfJPUC1syFCO9La/xqoGrRFPalR7vTIU5jVCBNE0A4dfo0PP8C6ekN0B6xVTq03B6CFCPGB6yyxfpk1ctQh6jrT95ysNDIhByDke2rSucf4jwnuQJgwLEjXGNnfUWbievoo+KFhdWd8OytG0xc665kI0h3g6RqVhLVGPqH0QKBgCoOUukzvo+tbaJZ4v1ihtEOrb5/fQGa6qLTWt0NRzNi6yRD5W/9tZmE2WvyMurlfHgUxPSRyz4tqxYkth6MqjKZZQtkrkEu1Idauu9sGc/0o4PQ3CPO5znRbKKXQjImxebLqJCKj5FBVTMlntii1gfQgixHoIgyUFRWuk9EfZ/WNyqZRH7Im+CPVbpNNNe0ihjEiNsElquU8vWzYtoBVLTzuGGU33FAQEBhldF4ziwVzGnumGVTME5cglkhIqXAjWV278JKZnE2TIkgCN4NyUtZXWAnS5pYkiiiZQxR1EakDWo5f/ECveUlt+O0mUrW1ZEHVMQJy2uq2opoPGABMOhReIl8sRc4/HVrWPaM8rFBOIy2zvL+TqKVHXxCIagCSlYZ1eOTQQdcerBjdF55ahcB87AOPIzgqgdRxtjEtmeHRT0GwWBG+dBW+V/l/WwktgrDa84IWqH1ldLEl1Vr82AU+RqJKS1lVY1ntXzr/XsLQlYtvLI8qrr0BJUbdSf6VPOVfzD0rt05je+QOENmH8rR5Q/0RF/wUSNd56g3761I1Ywjps5s2RPaXBNN4/zh+tH4DULWGld6ifIPa3amHK7cbFnLW7ghF5PlHBQdU0Bqv+uY0o88ICBg8THDBHSvi45UlSRNchItOAIrCBGFADn3kMmsmYwTvopkq5dbH9IkIcUJQeM4YnlllVa7TbK3i11qeSefknYnC15FWfOWxZIYPq8f/ZoTEBAQEDAJxs9j2/dF8Y3FkurwdEDZQlZ8US3Qe+AMrbeRLqgLHIEnrmKqUqMiDJKTDFt/XpkMlx1r6vdpa9pFLbHZQcTTlAI4Ve+wroWVguyWg1dV/h5upC1k5sXuU2FoTG4yV/hDFQ0WL1UwmdRaXM8YLw0v7lOaJSelZ6r+yqzefo1s9VJbu6syyRcAFUypk40pntk4mKd0dJx0QvNCSEU0GKFfAgJmw6RzZlMe8+p52Vpk6fV6nsya/PzM7SQL2iT+miy2U5GOL1sd/FqQpiRYSN23SZpy984dOtevwplToIIaycsRcQLearq9ky1umDZI4qA89QEBB4HJfPRloClxk9Z82vZMB6lv9AMmRNM6MsuzGZvY9jWoVLnm3wx5ylqLD1xrb6PGVpwbzFCCJ2R2to7aWUduy3VlMlkrjngWC6k/oaH/bO1Yva/Li2Mmhc6DKVVU0xmRlHoBvlz1ZtOaf9+fxbZaV37/mbS7JjvIzjdSbkU2WQjGRLmeVa1Fs0BZmUaWWnmZCRDlIB/lvhlE6gdowVX7v8wiOLszsEguJMBmwpHK6QMx7wW5yWwv8KeAgICThmqmgcl9CRWXcqfX7WGMIfWLqhhv56N+fs9IsFut85iHRm3Vqgq3ZlmbknqfFd2Fd955h7Pra0TveQxiQSQii86fuf6ouwlXPwKmf7066Rj1/AKpDTgsDNpLFd8FgXXAdBib2FZeopKvaEZGRk2FTccL75cB1ylNmWN8UKaC2Alk0YmywnNSZJQ8obuhTKiHE/KKtrjOgaVfM+m6KfPhrRVXIqqaf9Za/xWU1JY+0/d39nmwGbULCuWfk4jTekr/ZJDrs8Xps3OT677zavVqph3Wkjm4a0RdGFBH/7op/vllptMUAakg3+AUsvajxNHVHibygICjw0ne7k/iHzjdPKRYazHGILYI95gLXTNXGuvWkyhquRQ/aUrmgJv9NMaAjwthceckXUvX9uCVb7L23PtZPncGRftXzAEagSarqICAgPmieT6RoDA4wWh69rPsd8cnttUac58YcBJXlYaFX/tKqB9sNAsaIV8s/eV8TiuLV9bk/O/imEhmhTyeyc6gs+r+uc7sqdBm1r1Os64YRyhaD1QFtYctTWSvrKYtPJALw2wvTigxxvxeZFS0WEVtJupWRNWZDudOu4Nb1Ne+2n2pFn0H5NpvV+R0+UYPPm1CVZhQqomTvfUNCAi4F0f4TFGRvWQy3t7GpqkTMEcGmzoLJWsEEeOJbWZ2pKyurhC3W+zs7rC7u0uqzoFFTMTGxin3XbfntMGZxVGSkt65g33jdZbPnaUcPApKFlWZSbOMMka+F592QMBRo2whcoTNCDi2GD8qsppioVDQkoDU9/YAAPiFSURBVA1PoV0cLvvMZLR9UG8SNLbEuL+O3ExW+2mHW8e8cVOmrZUsiJTz5WzKXVc/VNYeD7xOM3PVKunNyyq1c6bUE3nbsp+SB5BCMz/Wsnlv0YacqFmlxGUz42b3PJvUrpkUQ4oNQ6FdznTRxe2VzZhzzXreeVmKpNJ3WlzUt6HyZHqwPMLr4Esm3X1dPGKvMog8Z8+zkB4OfvCj9n6zTNLzzAN70nFSfXAX+ZnPs0+P0od+prKLSoBRVkwF5m2pMmk01z6rnyZ/TS/wlNu30F6CWiUyEQkpFiVV0EjA+pgRonSWOtjTp9nEstGOiSPD5tZWLuhd6rQ4d/YMV69cYWd3x7tDqV9XI2IE1DLIxanf8GwEtZ3xXTiKyKSHVca8UN47BIyHec63RobZU0KxaxyMQXNX1laRbM9aUv70bfeG8Aao7iuPAIuS8/owUV4f6y4qgzDKp3rUezvtez0+sYUaqytpKgUXWVcLzWt5KGhmXzoQTVlsi3OGLkAlwpQ3sW46lQ0PVWzkaFfqtYOR97kdhma95SD9nXpyC2L6yW2dZTbJjE3DyM0JXMkfwWQbppJGOC/C/8uXeuv+yozA87rUfZdkm4WhN6+Veymet3tWdad/qZxLieD674TiQ85vNU//kJlGC560a6lnShpilx+4yB3c326pRrYut1GG5yZTBWNKjRuKsga/eVAPbsNiboTmjVETY0BAHdOMr3HLnAeGtnPA8jZ8Oze87Gn7YdA912MJzDI+FUtqU9Je4tYBVYwUsTPyNVuUyAj3PfUUu8+8n3fv3uLalStcvnaFXtJjf28fVcudmzdZX1vlvU8+wY0bN7hz9w7d3j5WleUHHmT9scfAWpQUMaZBoljPidl3c3kgpfJmfNEx1jNZwHk1GwbDbKIWCZMIdwadPw8cZB3l9z2iidgO2doPm+pyMpuVXxU+1W9h0N66DCOjssnOEXI85oNBOMi1YtJ650Vmy5ggeFTjq12cMkhEo9KwuIxZdl2GLdUzmorPFianibR557oIjYwUDw57mC5n6wAP4ex0laFTgpb/efOouny530NoQP2VdlJoA0p+SfWdk5e3kMe5olhQsmBgzabIoA0aXZHCmzjTIhf3oqXn5Rm4lCMsl24mkw6JVB6Rls4tFKjF/apn8EVZ5T6SoUKW3CerLL/x1gb9KcgDAgICxkdlJWuQ1dbPnzfmujnzQRGttVhrnckw4rWz2TnFutNZXmL92edZuf8y6/dfYufhR1h+5WXs7i7X9/cRMagqV9+9wsbGBpc/9nFOR4a9vR12gOjiJVqdDpomSFReHwbc9/BDWdMrEYKP0yZ2EYlrwPHCWIItxtwVDXgdZeiH6nW1WLB9ZRxVLtkwwhYXU0dFPnLkI2q05Kziv6kZ0fXH+ouo1NGktRR15lN5c7Q60CsK1SG3YL22sfD9KY6VWjj0+lqs4FJZFIG38j7R/KdLg+DNsCs7Lc2PD73zEQGiRK0jt+JooRFT6ocqKXU5kAtSb/zRsi+wqBRctN7HpVJzHXNOavvNCptdh3095XN835TJf0BAQMCkyAR6+fRS105oiWxJ8fsod1AHYZptrEVv3iRNU0cUrUtdUA9dYERYf+hh9MIFLIqJDKtra3QefJi9r38Fc6Mq7d9OlaUHHsZ2ImJNWbcpooraFMRSZKkf3P5C6Nt8/wEBJx319zzXqA44VjlvmrpK1zVer3XtfT+FNUe0IwukdrExvimyHZ5Ntilq8ewYyDR8xWXN7WiNcEXrl0thq9/3D+JRxLK/qQXZava7zPK5lm3W63lshw2hitZ5UKRHf5lmCWZxpN6II4CJZDpIR27TbAPgmWFT7uBcK1qrs+gGF0wq15RroSUHvN2z+LRLpeu0yGacSdqtt2E2OaHVyuawTnCzWxicG1iaiS0uLUXZDKcirT/BzHYRfckCji/mpTE6rpqoQqSYka1s4XHzI1bdHJdaukmPVqeNRibXUJpDHl/lXJGD/KomMU2OAbu16a7LGXvZzslZdEWtmDOPP0baikg0RfzGwq6vEbfblU1up9Vi7cxZ7FIHKz233hiBtGhvZmkzfK2SRsl2ZlU0LM98Uz8EBBwUxpnzJn0PhxHZASdOVO6kqCt/KvOLeL/7MrVdkPFWEVBOgUUwXT/JOBiNbcmhcz4PZJB+rvRV6S0baJbQ8A4NoY1jt6qs0R1KthrqHk5qszPG30D0n5NVAogixhG7LNBXJpAwzhasuC9tJrZoQcoH31VBUMtStzyFj8/f4+QSXkusha9v2dXWYLCahR7TQkInRb/lOmAf5TIn9QOc3OsywP7Wu74YKDQY9P4FzBUhaFbAMBy7xb8yp6t353AaTLF7XLvyVb725a+ytHKH9z57nrjz/SyvnRo4Fx0n2NSyv98tyaHFW+lk7kEpkTGcOnsW8+hjdI3m65+Iy2pujPggNq7/9vf2uH3rFsu9LtJ29YhonhoOBKsp1vb3WdGNhtIFA+DMpY0xYZ4JaMSsY3Pe79coItvc/tkl+oPNmse5536fzEWZB2dtRphT5odjZoo8RHubkduJoT4GUonUTWD7VY7mLFoM/Zz+5LZkg2ou/lH72xc+wmw2k6YXUq/q+dV+ykzAys72GTm1gNFqC+wIDXjF/7emtjbe0LneGsm3HNl53uTYar7NUcDExucZ9vdZKst6cisD5tpyn+axrbR8V6Ofa5TrsUH6fo9XxnHEoiwWAQEnEfno8nO18drCJE1Jul9me/sfsLX7e1x8oItiuX6jTXvpGufjv8ByZ/Uomz4R+uYRdSbGzuKr0NKKQmSMS9UDiDGcfeIJkpUlrLhvpWQKFkexn5n9/Jym3L5xg3avS6vdIpuXI8nthQDt2zyKQCbR1RFhTcVvBcrWUQEBh42DWJtnIbbFuBuCcYZFofuq1Vs7XipLysdL3/V9PqK9S4Oxx0gcZ0HlccAhEdvF1XTVk7hP8sIphamxV4pWy2L4HStUcv86Dlw2mRpdu4OUztf+47WJotB9elOt/LQ6sR2j6hLKUjiXeqhKJ6U4kt+bzb/PBBTeS9ZaVDKpvo9anZsCS0F2vQrAaW0LzW9xJ+L/l0pbmt7HrC2ZCVsm5siCSAUEBARMi8zixAUD7WLkZ7l2/afZ3X4XkyoRLgK8TXr0ks+weff7WLn49PElVQJYpdfrZoucJ/WC+oCOcRSzsb5K/N6n6YojnFkwKUHQKCI9fcZZ+/hiFWi127RMhKj6gIWF6NTivhtuWURmCd54fPF2LAEB/Rj1nla3tNL3ue9TWW/R4Gs47k65UndtTNb3zOOW64jv0Y3QWcyRg6CsCbP3y9jEtjlXHc1v4vhK0CHItIx1TeBBvBj9oSXKtzrKOX2QKXJRcv8grlDPegSmqV705mvqmmDJVJml2av4WSa2dcpfKgMBHU59RSj5XSuSOdOKq9/gJss82FPFTAVnCqxug5dL5DJNh3WTcq5DLW2Aci2uFHln+wh/X3flF/kGZsS4pB8Q95yjY7rLGTWJHsTiMO/yFwFLNz/Hqdf/9lE343AhEdef/E9Jlu6vfj2nZzrTYq/9Grq+U6YvHRit2cjmj0ptmqWlEDdtWkWiq+x3/xnXb/4Mu1t3EJV8Aym4+Xdt+UOcPfMQVrNASIuJUe9CHMckvQQ3qypgEXUENxInvlx9/L2kZ8+C9FDtObGiDzAlUUS0uprPyIJiEdY31ojaMRaLaAQU645rkyHSNN+fOEueguy6md8WkfIrt5GFNBx+nweRVmfa970p5snRY/p3deat4gnFqDEWDWJZmVBfsnSOGbR6rtTyetT+HJlRZ2wlzIBPZdO7sopWhthOSvVvkelnxlnes5yAL+60PBWOlmxr7ff0OBSNbdlkt+mscUoqMELcOhbGvX74eaO3UdL3TfbXwPyBY7YoV3KOeV72IR+QA7leWbMp1ZPKbRxRqduYlT4rToObc+rh2mHBBYoSr4lFpNDsalZetgEsTcgZmc72J8MkklLc8aD7yEhyQXa9pnnBJ7CmhW/eZi/jlD+v+g+TNMf7V1m59blDq28RoBIh6c5RN6MR+TCWKWWDBwQ3tWR+oe4bAYxxXxhrwCr7+19lK/1vuXHjG3T39l1gKC3OV2Cpc5mzp36SdmeN1KYw81o3H4zjA2+tdTlss9lacYuCtbQ7LZZOn2bluRcgEqd99TH5XQAZZ1UUR5Hzsc36SYTO8tLgja1fAFx4wiyihP+ZCzyzCPrqXxpTcktyFkeDbq0eVKvpvueFRdb0SPXHyGBb/fdS1yY2nbt4mDbf8zjrWNM5Jt/4DLiOAbvQ8pYos7kfUs+opk1myTbg3Iowqv53Vbyk5faUSPBUOOL36TgK/Mvv8VzaX8trPC2OmY/t4WMW+qwlElVAqscHTOzzx4jgUB7TysKqfeZNeEv3aQeVrW6gGJwpmvXkFgtqignNvfZVnUgxBWa9XZZeLv5iGBAQMD6y8T5sCRw14ueka87L1vx3lhMcF98g6dFNfpobt/8ZW1tvu2jHxvg0cYUWsd3ucOHsDxPH7yW1aV/k0OMEAeLr10i7XUdCS2aNmd/tymNP0Dp9GiXJr8r3rJ7ESmQQH/UYIIoiogcebtwIabaBrx/OFQNFerjsCRRrS+ZSM8vdBwQcHspCl/J34vehxbvc/1JP64N7UELzciaKen2D9qG5QCuMz5OHA3imgdiOgxk6ukknOzjn7vR1jYuZBVXjKN/7eWu1/tLxzCTbWaJIvpHLzss3igpWCsP0rEwj2TZygCesUv8mr7w/4FbAIBwHSXnAvYM82nlmtZLvcMQFBBrlPDnPtnltbWY9gkJqLWrf5sb1f8z2zj8n6XX9yYDU4jSIsNT64yy1fgiJI1K1x5pcCYLs7WGTQmObzSaRMcRLS2yfPc9qr0tsvJGxAOqjofpna4xPfUQKKFEU0V4/ReoOD0bWr1L9rix8cMelpMRydR60NmLwWn+MH+wBotI3Y7CV47oezdLuSSyi+v8e5lQ2uOyJAksdgK/oIFJbzqNb377l7blHx09IFTQagdjOEYs6Ac//xa/tJEpMV0ZEorTWosYJ5kWECLA+YrOIINbJ9StSSCX3A5FyRK4BYgV371n7MuffUU4kAQGLC+u5XDlV1kmFot40FxBxWjyvWcuIYd+oP5Rp2AdDygLg+QfR7e6ws/ObbG/9z+zdfQO1PhheyX46o3uptZw69Sin1v4MUXvF5fDOhXY1P7jjAs9NbWr9KlBsWI0xnHn4EZbf8ygmdrY9RgSLKcgtBlQxYjDGkDoqS7vTJm7FJKMiPEkh7CzX7YyBBLzWODN5dMtKri6e/rbH2PCHyKiTY1H3VIeBYWagdWJYzzVdCIiazI0Hp9WZd5CjUe3IfIRHXRdQIMwrgdiOhVmGdeO1A16+RZq2RwjCJ7jaSwxLpLJShlS/y4ksAuLCdxmyCbYc3MlRUivu22xTIl4TMqgdIKUFoDxBSvW0gLFxr0+iZdzchnYMq23Y3HOv0qnl4eerwjt3ILXw4JnJiWli4ee/CF96C/7N74LTy+OX0U3g1g5cXD8+hNhaZWd3l/39fZaWWrRasc9xahDTQsRgxOQE8zD3wZJtKMSQpCm95A1uXP/f2N39DN39PSKNKIcTNFIOTSgsLa9w4eyn6bQfJpWSu4gneccVmlrSJC3MigGM0Om0OfW+Z5FOhBp12nYRjGbCCh9gUF0O9vI72llbR1ttrLWIGW18nsVsyHMC49LNFZH5i9/FVQ0ljuFbPAph3pwcIZqsQ5289vvMlv9uJjoVDWk2PoZogA8aI9vVMArD6BmMMK8EYjtXhOkXsu1CFnTS7c/MsLhU3ictM00WF3RFhNRvTjIda+5tWyGmRbKeqqPvIJIbMC5mDWxxL21E/n9/BO85Dx9/HH77Fdjtwg+9MPhcVfjGNfiPfw5+5MOO2E4Ka6GbQs//mwRX7sI//D34K9/DsYn4bURY7ixx7crr3OXvcer0HSITsdTp0Gl/nMR+Gya6iCCk1noT1sO5Oeu1i0lvhzt3fo2dnX/I7u6r2DR1wV28O2g2F1pV70YBUWS4/9J3stL+EdLIQKSoTPhAFxCSJNi33wL1ceazmxdh9b4H6Fx+kDSyLgq/OLPgQrcruUmyiCGOYhJ6iBg6p89gl1cQ6dG40tY2/GVym32Hry1PMTSH9yVsNoej3DfjrBTTRKdeBBzkOzDJmizeamGU9HKYn+u8A1MOur5M2IeS2+Px2A8cYS4ZjfHT/cyzFY011DVuhwsXV+KI6p3lrJKpW/+5/WmIqudOQQGl1pqK30w5H+xo1M9zmlWXo9Z6k5qKLE/KLS60wqXIIIPNWfKjpbYO6Jb6pbNM5sMW4UGBH44LwkRb4PYu7Pbc3zv7sNUdfJ618Ctfh8++BO9/gKmntnYMn34BfvA5WGpNpnlNLNzYmm56O6qorwK04pj771vnyrWvcPP6JoIQRREryy+xcepfAB9H+BSdzmWMj3YLuPyoaF5OPj0MtnYbMGFJ33pQtv5QUnZ2XmFv/7/j9u0/Ikn3K/EDUJ9+zLEnr5F05tRnz11kbemHwbRQscdKQVsWG/ZpPFW5e/NGriXN5u5WK2b1yfcRt2NUuiCCzZLMSUFsCwKKMzs3rt/a7bZLgyRNOdf7Zne86rY2Z/k1Q1xEfv943LW1Z60l0+d5moYvdlTlcVfxQX9Xr69rYOvvUOUq/+y0/l25prn0Wxa9oxlNc2/W9qkhw/Y7WYyRWuVS/z28Z+sa28maNfsYGEBrcwVFeYzVd7LulmZ93tU54nCn3WnbLqWfTac0cKph+1AGzppjHx+O8mI6YL99wB1/IBrb+S7C2U7g3kN9we7v5iZJdcY0tXpqJjDXEcty0yRdKq7egoHvqRbjSIFIbOV41Y9C/eJl3SLlzQy9EXH+Nrh7AKyLkOk2nW5XInnP+YoL4V/ttspBFbLhWgzA4qfm0TxzzXPdFGgMqA5PG7TIfhGTBK4YhuNI2PtwgI8nVVhuw7/z3c6UeBbExv2rQ9WRV1V33JTOsdZpeK263yKH56M7y7vg0pAZ2p1zrK48yf7e50EFa5WtZIfu3issLb/L8tLXifiTtNsfwZglrDhim9IFTYm8uTLi3ByK6aewAjHZ+i9u3Ctuzsm1fkLeYTbd4e7df8r2zs+xu3edXpKgavKJT8Rg4gg/ReUxBIwR4jjm1JkfIzVPoZL6PKsuzU2Rl3W+RGpaND1JAcQq3f19RDTXGonA0ql1lu8/T2L2sZLlMy9njy2egdEUNtYw7RjdtRAJ7bU2Gid5xPyhDRj4fWnXX88Hq5RWmXpKvmK7TeXf4MpFmnMPzCvH7bxRXiOHnZFj0Gm12+pfP5r3NVI7rbz/bOpxEZku/68nCY2ROITc+mIYmkM41Yqr89SBZZc2NvVnUia2+RySCeFGv1fjEt2ZA0chmNoQc7eTCcFs7sGWectXnv8MU2IuVCnvkyd5RtNXPeNMPute0Y6ct5swUc01IiB9D63odyETZZjcDWVa6je+xvZA73ax0BTKfBbMcnW20JfLqS+xUYN8M4sgXLmg9E4ZcYGZsoL75FamOo3nkUizPpEqBczJpp9kq20tiGtGSCs9LlpJA6GVO84mM/87E6eXI59qSSApGbktSoBqfdL3R3GPWfvzU6T6e5LJtPpejX4bjprcNtVtzHQBtqYRAAy6fhYsosAgNvDxxw6GSN7chnfvwDP3F99ZC194Hf75l2GvB09chD/1gvP3FYEvvQ1/53Pwe6/Cf/YL8D3vg29/cva2jMKBzKkKwhorSz/IdvtrdPd3XXowhe5+jyRJ6HX/kLX111F9HxHfjfAUph2TxoLVGBG3UY1wAekMjqimUmhlJYpy4qMWxDjTYRWDVbCe7fZ6n2Xz7s9w587XSDXBKiR4r3+fh1UxaFQ4UmRhk+N2izOnP8rdrU9x9lRU3auW75nDf4+Hry4TQJWk2/P5aV2JJopYe+JJOhfOkkri+0lywWV5rs1obrqxjsSRE8DEEfrQQy5gYGPwqFH91T+ZV/rdCzHKp0kmMB4RBNHdw/D6R46DhSW1BQa+j3VCNqiAhr4pNPvjtCUTgRTnNw2Rw1hfm31G51e2O6H6cZKAc43mwCOua7SwGVGGqQ3fSnvzTV3Z2qNy8kwo9rJMzGtnfotmLmAWq8EZqj+A4TOY1paOl9xDpq3vwIjt4m0dFwPTLk9aHe2VchQwKKgd3u8ChrI4W3PmKTifOlN6q6rRgkuF+GutZguJeoOx4euT4gOB5J9LAZtwL11lX6BCES3ZTV7qc/44IlzI8EUEkx/LSNPBbAKGTRSDAjQEBGRwG2D3blt1XMgRH/d9aguhT5+g5ADw+k341a/D++539aQW/vmX4Mtvw5/+EKx13N//zf8O/+53w5lVR3R/7KNOo/sXPwlnVw+uPfOE07q4+2zFH+HSxU/y7pVfo7vfdZGhUdIE9tlHuMV+9DsIXyAyS7Q6LZL0fnq9++i020RxTCQb3L39FMtLyxhjiNsrWFaJWjGtpRjRqLDSsBZrcC4Rauklb7G1/U/Z2vxFdnY2SVRJ/axUTkEk4jSRvdQdNUDkfUbPnXs/G+v/DqJnhq+xXnB3mNNPVpfBpy+atiB1/ZavLkaIWi1OPfaYS40kzSaeYoyb7ztLbD/6KHc3N7nv0iU4d27mfhGtavhkgIIgN03Olk/cj2qAwinqplm7uJi0drHQZ4Y8g4bnXsKgSMSTnD9rfX3Hh54/CwMLuJcxnY9t3c8BchJynDFI8jRzzqiGzUrTLJytmd4iw22sSkxSRbGm6vlRkT+rejVD/ZjbDcRiiCvSsUFSk+KbNLX5Bt7iAp9kHmvqtRNFph0t7k36Nx+iNVJd6Qqnesk1wJmUtUZuMz+p/NqaqL3pqU0iYawHYFhA5V/AEWM/gZ/+fXjtJvzWy/AHr8PvvgZffdsFdnr9Jjx5Cf7kB6Azh3B91pPnDC9egd/8JvxHP+D8bgHuP+00u7/ydfjhD8JKGy6fgo0lF7QqjgYWvXBQdQGhFGi1N4iTv8ylCynvXvl1kl6CqpsbkiRhX4HYYuiR2C32thR4E1Wli5tPVQWlTZLGiAi97iqbdx5kbX2NljzEaucjnD53DqKzSDvGxoJll27yWe7e/Z+5ffsq3STBWsGK5ETN+knJU1tUlRh1AkURYmNYXXqctvkrGHkAE1mwSd/9lmTXx3Z9Nbk/sSMeaxcvwrnzpJkv8QgyYgWiOOL+Fz7I2iOPsry0BJHL8euEDlNqLujXHvSVVNrX5GuDF6zmlkIHUfeCamgnxej7GP20JumLvtQwgdkOxFHtW6YntRxdowOOPQ5um6UzzPInFI6YDT9en7/7JgHVEkWUErkFUa+5LJ9eMj0xInlu1+xY3iagJUIsUb7hkPyoO1uMlj6V78OVYK0lteTRLK0Ukn1bEpx6i/kKQYzVmWJmQQusli5AMZFpFgjYwidLjDMlLLqu2ieSs+rJFrwKoS2bRpRJ+z2EozaTXmS0IvjEE/D8Hmzvu6jIH3uPS/mz24MfeM6ZAA/yg50Hfv1FeOU6/Le/XP3+6iY8fflw2jA/KJAiue/9GVrpv8HZM11u3/kdkl4Pm2pObsUqsYmIjPOkFR/ASVX9vGMR2cWmfh6UTU5tvOvJqLC9/w/pXl9G0+cheo547Um0/Q+4tfkldvd3SRLrTJIpiJviLUtEUEuuoW0JROLSkYndINb/C+urj6MkkOXmLWkpnOVK2ZrlGCKOWX3oIXbv3CFVixjDqSeeJF5eYl+6WGy/MLH0dzbPJ1iW1ldZWl0B3HqTHoIhTVNwojAdToODzchcXpfKLkuDcFRpaw4D45gSN1mkzav94+wbhh6fyWY24DhiWpe3OsYmtn2SlfrnEzrLN/kQHJSJxjBH/XIwgkzyX3y2GNEKO3YbKndUjAu8USkgK0OghaGVqVOzkiuOpCXtgSpRTInPCUQtnx7BRSq24jeMCIkmpDbF2kyfW2geDEpLDLERjDEuHUdFc6wjpQFpqi4IhKozU64qnqtS3JqqY5JJth4tsAhrcjLf9UXEvINXHAQi48gswK+/5P5+/wPw8jUXFfm5Bw+3PVv78L3PwLP3V78XgUfOHm5bDhbqSF7mky9gIqHTOUvS/TeIeIB46Z+zu3sX9SrsNE1dHlVjiKKIWLKATgqaesMWb3uSuTiIYAARRdN9umkXlc+i/A57Ox227+6wby0p/aasghLhctRGGEzkrGMEMLbnzHJFWF/+bh649AKxcUHy0kxgVhPCOYJ9BHOOlwfOPLoiw+r7n2Xr2jWuvXuVpc4Kyw8+ROIdWgaVL6U/sgBfCqUFLUsNNJXMcnBd4LWwOvTzwGrG0FAOhY511gnDnN/kBg3+UfvYNmEWy8AmUptZtRUuMDKyvvoeaBRm2iOLDB+/J5RTBAzHQY3R8Ylt5eU7BFHpEWBQh47q6ElNLQZdXyZQJQtdR/5Kn01GD9X9HZUfipb9Xl20zUoYv4rpr7hN1zBJnXj/3NJFWnMAE4zf1LmWKRmxVawaEknQWrg78TNsZJwWNyO2/X3S7H0UGSVNi8lZpNDYRmJKAgH/vZT03hMQpX6Bw4Fs9QJOGLoJ/NJX4M1b8LmX4BtX4KWr8IdvuGNbe/DYBfjOJ6F1CJnDn7oE17fgo49W9wZZlOQyjosJcgE/BktDUcSwvHyJMxt/FhM/wd7K3+XWrXdJe4nTzKJgnSsFppAKqxhUbaG9xZk6Z+Q2EwLmm0Jj2Et67PUs1pTEXMbHctSUCCEyERF+nlaLqHWaYU/lTp1+iMvnfpy4ZVBNUG/r4uZv7bvXoxCkZUtLX6C/iQsCLpyn9e3fTvel14hX1rHnzzszYrWIqbvQVC/X0rqlmZBSJS96FmW2ZOrgSmUjPmf9ghMuN2++G/YNSu1J17VriyG0mxQjN6Vj3NJJVZI0YVwCOcmxemyQYYR1mMZ2ksjI0+6RRZuON7uUBZxMDNqDT4rZNLa+fkcbxn0FB3qyHBn6zTVqxxvJjDSua6MW3Swyp5tYit9ZrS0jlY2FyVL0iKeSQyrIyjElYpkbAPnCMlLrTJHrT0RALeVoJmL6OgajGdn2/zTzWVOsxMU7USPdWW0Z6ayHyS9rR+vICHSE8Rrj4pqszHJTpfpj5ECxOugdyH5PErD/5OFEbrQmKWvI0xeBi+uOJJ57C+475bS2795xEYkfPQ8X1g9PAP2RR+Fv/Avn2/vwWVdvL4Vf/DJcPg0ffMidd3rZ59rdh9Mr45c/c2TjA0gRoa4grDf1Na2Y9dOnscn30Oks0Wr/T1x95zVUUz8vKaqWrnWuDiaKwLhAVGrEB/pS0JKPbMmPP4pjRGB3v4vFxRxw5sYGgxBHEbGJEGsxqohVSFMfDRgyLWO70+LS+R+k1b6PlIRUUyeEpE5qfV/l90zN3edw19FsFRy0Dyh/X18tFUEjOHv5Emcv3EdkIu9bq5V5mco1/XXkf/mNh3q57Sy9oAPW/orCttYW91kLc/OBra23vEEz1vdF6U7rbkYLMveOI9ptmnO18mMQmRrdBu37oAMO1p/c4qNxrZLmuxh8qVb2Rb6YQUUPeBer3zX2YPMWefS1DLl+nJdtTjiM8TZP8+/jinrbp72XqYhtn3QRizZq2TJxayHdKS9WozKLSV+NVUxy65UQ8eIGfKXs2kCLhEoqGurnNrBXoao0LQ5k0X6t01wCIgbjtQnGRBiBSL1O1GtCtZSDzRHX4fboIs5Ptvhcnb6cVnTIRt23p/IF1U2W9InZSyRatU9bW4VWfk88wIVSOiLtsx4bXu9omDqBL5c200SUCS2O56RzXCfLAyW2Q8qKjSOTAN+4Ck/fB596Gna7sN2F73umudzlNnRaB9ZMLm24SMd/69dcCqBTy/C1dx15/Z5nijFyahmefxD+9q/DR9/jNLyrnYNrxyDMTIptWYTqyKcVQFMnbIsMRj/B2irsnvob3LlxhUr2Q4UkdWQy7nQwbUcWk6RLJIZ0v0diCw2qWouKYJIUk/ac+wYZ8bVExlmIRCKQptjEmRtH6uZ+H1YPANOKuPzAk7Tb34mlC1hMHgBQvOYW/3d1Ps3i36tV575hstzebmkd5cExcT9nf/jNZb56DLJqojqrVZZQ436kERBBSlq92PrNd6nYSllVw6F89c6PzxiZuAytCapVqwRTRYoceuLegeadiR1+3C2yA9uj+P2Ar3uq3KtzRJFreBCa59uK5WmlkBIBk9o7UoJqrUezYZ0JkPJ9Zv85R8iTRqLZzzUb3EMUGa6Aod+7sVseSKXjed1D6sWPgSata7mwgWjudZtNMMPKDrhncFD7zAmIbZM0qf9o+bNqYcqaD7LSCaYhiu3oQdMv3WxElifN+2m58qsSv5z04kxbhzVORthpmVrRmQbAXSsYdZuizCQ3inyQE2MQweeZLVb1+kOv9voAOXfF3KTe9uZONQNurEJsGy7PoiePg9mJxzjXH9T0OOugCwGYDhqzmnAdTBuGfD/ieIbve+ZgF3AReOw8/F//GPzGN1xAq+96Gl54qBrASgR+4mPw+6+5iMnHUnYhpd+Kn3ANaj/O+soVtu/+TWwvzYduntvbGCSOSFG6SY/9NKETtTBxjKSpC46njtQqkFpLFMPyygq218UkXVBlqRURxzF7u7uQWkQVoy4vrtPWFsTt7LmzXDj/DHtbp9FMa5k12+uJsxsqIgmDMbdJk3e4fuUNovYXaMc/xtrGo47olZnCXF5zqaxbdYyuWked0Fdd9fKC9ArkPrfDL5gBgwZAjenm0Z3HRdO2acgJ2X02+S4eBKaZFzV/nKOuHfa+ePcgx96HXDacgta16uOgEBgcglF/Q9skv7cBxxrbNpqSD7K7y/awbvrpP14lvk1lHxXU30PYMx03jDu3zGtvNrXHV7VBiinJ8Zx1SEWu7jcICnWJG7jNyLDZaowXu2mh6SfcxQCXAdNJ5YgIpsoP+9s2wn+g4uZaNzWOjEv/YJxPrBh1WlsvnYvqdzDAZLcovN4Lzoep3FipfGpG/zMq7R2hUTuQbcgOC+V+mHcuu+O49w9YbGwsM1NQ+dQWaX0yiLjctD/4fPW7+jmtyEVwPinIkpCpwPLSd7O+8fPcvfWy07x6oaUFkl4PIkMPZ5p86dx5YhNz5d0rqD/HSuYVC2IM8XKHXZvQswkrK8u0RHjgvku0Wy1e+vqLpBQbVLd+4PxIRVheXeGhh56mt/dnSTXCknrCW9pweiKcrZFR9DIm/lU2N7/OjRsvsb25iaqyFF9mfe0RbJTpoo9u6zdOvcdlzhwWY2PccwM8BnCsDKMpWjMBdFHC698t/hs2zn5r+Cgu7auHlV3q80LWV97N9relyPbQ3K6AgOOGAyG2IoaIqmlrhWzkqRXchqNu/luP0dBfWXNbMiI9cOAP/F5LEkMn8a46yqv3eXUks6l6M4JUlydhAa+NdYYhsWhOao0nuOVASEZG3XrZBrd2pI/fDTZDGQZTYq7ZX5nwvE7YB7fsEBebsrP5PKs5gLua2b8wbKiOFcZWVE34WLPXKLEud+5zDwyua5xyT8wrlW2I/ZytrHH+wgtsb71Or9tz53iTRWuVXq9HEgEqTvAqkIrzxc00tRZnKhfHhq5N2O8mqFpW4xbnTp925XR7uVWS4rS1RIKIIU0tGOH+hx7ERJ9gJ9nAinMMztw1xAtv3ZSrRNE3EfPL3N38Pa5fe4ednZ287Wib3b02mqa4UPVDtDUH2a0jNIfNNUuumT4JaEr/M+jc4ccLPeIwFMER56u5nQeaKVrpczk6GH4sDLMOyIV/Q/pjSBfN0neHEaNhjEb465tOGa70kNrvgeeX/taaUqrqOhhwUFiU9/IkYnxT5EE2/JKlRsiCIA07X/OHqNAXjVezBKhDMMzFNT+umv+r+6MUWtKhV3v/Vh8IxJjKRBLV3FsqRYlWIxPXUCemToqvmMjlOIwl8hE1s74Eya201ZPq6V5+heYd64jJqmyKrNLvDmOamqXaF5hjbOghk+KJIH2BriaBtcN9hwJOBh6/4AJFgQsitZ80nz8trMKvveiiMZ9bhY89doII6pRwlkEFyVNj6LS+n43Tv8X1q29SzOogXtiaWufZeuXGNRfvwIetTtLUpQoS19eJTdGu99UV2NzaYn9vH6wSGwNxB9Wui4As3v9SIFGlFUd01lZJ0hVUIiD1BNgJCSMRhLtE0Svs936dGzd/hzu3r9Hd38f6IFUYiKMVzqx/H2c3foC41aLn5bLzni6b/f+aod6a67jujOsC+vJ3o3xfm6PFNhtxLyqRLbSpwx9otherXjfqBSiN28Z7r4rU+8915cxDGDArmZjk+sq7pvQH76yVNzo7xzEdgAEBU2AmYls+FlVCCtRMH4zJNYCKYsTUFozmupvk0U4R7KTs1qqLcGlrmszGMe3SNUQm8hpTUzqCM0ob5Hrjf7hgQ4NvwIgQ1bTYee5WEReYysU79+WV0kygREwfhVfr+QT6bmCUx0nZZLtGbrVf616/cmqHvZFa6qOD4swTp7pWtbQpCDiOUDGoNEd5+q5nfFRuAx98NLvu4NsiEXzwEXj8kiPQ7Wg+/EYl5vi8s36N8eTWAvu9Rzlz5uPcvvUzpL0kd6GwAqLWCS4FUnV5aWPF+d8aQyQRqWpOgnOzYRUSLGmvC+py1rbimDhuITZ1QaTUYhOLAnvdLi9945vcd+nrRPJR2p0OghKJYO1dDL9LkvwqV669xJ07t0mS1G9sszlaWF46xbkzf5lTa99Hq71Eapy1UJ4Cx87j6Y+BEdVma8dJQJ3k3qtak3ogyj5MoE2dZx/Oo+xZysz2eBOdT7YPre4zB2tcB5ct9eMygOhWtswDyj5KOcu9OcwCZsBMpsjFP/r8QcsDz4jLXeq+758YR2roRpAkEcFaW9HcVi5vNBd27XCaWqoaUnVEdJiZRqZhHTbyIjEuWmapneV/xUYp02RnWl2K3cDU/LDZcHZkGqOaxrbyxLKmD7v6BC/4kyxO9XxcLoDaYkriA0Zj98L38s7HfzH/7Oaa6csbrVFoMmMpRE9Xpm/CWEiW7p9zDQeJkhmdQGoNS9H3cuas09pq+RTr4hioERerV4RU1TktC0jkItOqdcJNzaxJKj79Xv+aJIiJaEWRSz+EoNYTVIU7d+6wt/u/8uijL3H69P2oTdnb3WXz7lVu3XqZvZ19kq636KhMtMKpU5c4d+7/zNLKpzBRTIoPgqUszHQySi950nAczYMPDg0afG0WmDcb5xXWa02Ypdtn2ZmM1JGMun6KfZFUfpf2kn3ks0HxVD+utS1M/XMdo47PCffq6AqYHeNrbGuziZEiSEYk5QGouTYzm6QiERdcSgrClA+0ARq6OiETM9rkR40LZ14PwqIjQvTmG53SNcW+QumbMipENTunH4IjqqZGbLNj7nhWtuaBTbLgIa5h0dB2j0LmZTb0uDZPhpX71JrUfYwZZ3rTNWZbueYMYfzm1aNWGyNzJkIB84TGayTxWvF5gBBtovKO6NqTCkFyIVy+vTaQ6uOcOfsxbt++Qm8vIfOzVZ+0WqzTnqY5cS0sgfBlVThk3vea/7I4f+d2u0Or3SLCaVR7SY9ut4u1lqTb5eb1l9D0Gt1el5vXr9Prdp22VQXxvr75zC0tWtG/wrmNf52V5cexBpeKqEyqpFi+5rX3HPWuZf190tHkxzgITf1WHBpvHA8yiZ4VowJjZb/7zYqbpNqAKVY+BZ+ia9A12V6xtC8qtAWDTs9sMobX3fhVk15zQHXlagREzAiCV9z14LudBNnG2Cs6RBBpCAba4FpW23Hn5Q752Ff2PIf2PJex0eNk+htbhPV30SKml3HU/TM+sS2NKRHnYyk4/6BIyM1ms4kqS3MgKDHifDYzE9aMfJZMcMuodko2mw03w9Ci4v7Zo3/UVmCt7fMfLf8ppk5PysfF+z4M13yWb2WQljufaovdTF62v2ho25swq0+FZu2qfjHsY3/9U/vYHpF4cBxo6R2f9FKA/H05+oF/UjCL/99R1j3P57/I79YsZGCc6yubVz9YEyvE5rs5fe7zXH37laIeKa0XpY/qYwRoScY4yJy2Jg8lVctur0uqEa0optNu01leoZWm7O/tYHd2uXPzLndu3XWLoM2iIJdb7+puxSvE8mNcvvSjrJ867dwgrIukbBUQLTd9rrRy5Pskw+NYLO6bOBpN79ooU+TxxuDwJ1fZZ9TmmUGxRGZB3Xe4Xufg+CoNBZYt8lRRqVq21ONUlD86F6fBxDaLeF5vd7mNzZpHJcsuPR5q/eLMDRuvyDX5davBMd6HSj9L7RkYrbjJ1Ztp6tcPrmDo9yN9dOe0xuoR5mjWUtTag76/g1iDZ51fTrLl5CiMTWzLQ0o8Uc30rwZnaiz+WEHS1GslFZMnK8+3+E5KLfTtGmq0lfI0X39WUieufc9yxEaqkgE+m4+yz+J9aIdAoCm4kwo1YlvM+ZJ97r9q3KYfAo5gWzLKN/gocYBtmy6H4KJ2TEDAYmCYmDFJ3svy8g/Sav8turv7DExJVkz7/qMXTJYJsNQv0dK1mged2o8SdpIEE0e02206q2tECMnuHmrTXEgWmQjF+fAqimqE7T7Axft+knNnv49Wu4MAdpHnxYCAA8Dh7cPHHUgZ8SkLIIZfWybX1X3kOPXWZ67S55GEtfnwOLiXSVDAycPYxDaOStQ2M0MWilQ1UCJsikhmXptpuWzFFLfQKQ7SLZYZX9XsK0vHUzRllKSpqHEQ+iSftfNNgw8tjJDaQp7SoWhPyXxxnMnkuM4307ZbdXHv+QjbFkhtQMBkyMaM8RLFVvxdnDv3S7zz9le9VkVy4WKxTrkBbkzsTc0l19h6W4vKTyegzcit2wCrKIm1qCaIVbqpZc8YloG400aSBLu/7+qJDHEck6aWRFOuvvVtPPzAv8b5c09jYoPF5d+1OL/fPiNHzRXTAQHHFk3a4YPFpPYNZXLLGNdm+9S60nbU+l1v13hkOiAgoB9jE9tWXXMpLvWJMRAJmJKtsqiPDOrng8wXVbPBmil1vTa3PzVMPxksjlQnmD5/3OKQr2tUup9hMn6PJo0tQlNCV9HBk2gQjgUEBAQMxrTmyJX8i33LlSCcYm35/8Tyyv+Lve27iCltHzNZIwpiaLVaLj+tcWuIqvXnVtcdwQl2M8MiEesosiqKxabuXIMirZilpSV0f5+etaRJzws/hYcfeYTUPszDD/5lVlfvxxjxZFZBUk9qq/c1YuU6NIzyNVcZfvzwCM38MMgkdpLjB1330QtB+9sx7L5HmTxPgrHue84BHJuewaicx0OP1Ub6uP0aEDAtZncJOlqMr7EtETwnADf5pGREPb/LFnvIAyF5gmtL0ieTq3azApvlYFpKg+csPKrmyZVzxZtIl8puKtxJ1oacMI4ovLwrGnCsgffmEv6AgICAgPnAWRO7ybzdeYHLl/44r7/+j7Gpi0IsOPlltrZE4iPhW4uJIme2Y53vnPaJVqtrnfgyVFyqN2Oc246xiukl9HoJkSqtVkyrFXH+4gVW1lZYP/Vetnb+EugZUlES9W2TTDCc3Qml2ptj2y8CnHn1cEuX45w25ygjIx903XPzoRzRxuz5H847MHkdRx2/QQb7q1XPZYjd45htP67jLyBgGMYntnGJ2Pof2aIrkPvcQjkqcibddruGYTTOnT9scFm/adDSucPbKVAEfBIvgW/EcJKMJ/BNlY3Q5zbWP9gPo17CIm9bhmHWdi/yPc/StmA0GBAwCtNutHJtCaV1osIFlVQj2ubPc/bMu9y48bnClNeIc6H350cobeMCNqlCFLVIBZefVm2h+BFvoeRrzv9WRbAY67S4okqiFjWCRoYocrEdtna2OXvxPCZeJzWraJpgTOSWO7W+cdK/7pXu616aUe7tNDvj4TgRlYNs68iyFBrzFA69KKugGo+lvwGmmHNE3fjNj43Yi/YJrrK6sj3DiHaX9tsDDx+jdyIgYFZMoLGtfZEPVC2ltSkba+UGKe5/73RQibyXSeuaBmTt2EgFat4ub+bsmzC8fBpINXVHidqx5kuh2URrNNE5rhrdWdq9yJuWRW5bQEAA+G1geREqucAqllZrnfOnfpxu95vc3XzbT/Hi05IIVpXVlSXe89D93Lpxgxu375KoARODuFj2Vi25HZJAlr/TRTl2FkzOFcXmx3Gf6GqKUUdut3Z2eO2NN3jPYzFR9BYJDwMWRUv+v/W7u3egmUQ8+xxI7bHDwpCqmZsxasOX+zPQF49jZHyOWtlZ6pAmi8Di5MY9dH7WojyHgIA5YwKNbX1wlez8kTzdTxk+DaxPmZB52FbL0SEa03K6GzGmedhKvcxCct88J+jM/q4jl9km7fIwE+gTgONooz/vTdOoOx65fM2xzxZ5w7iI78pBYNbUN03ljpN7FPrfuUxP0CiOm6PW7ED6RKS8ApS+dybHKSlR61kuXPhT7Cb/E93dPcDkqX2spmxub3LuzDoP3n+B3Z27bHW7GAzWGMTnZM99b1WxiPOjxZPRUq5bSxaqIVv9BGuVFEsE3Nm8y7tX3uXsGbAp5NHXRXKC7oJdle/p8Oju4KycB1h+g4+u06Iv5tw0zhqXmdrmOZHz3+Xry0/PbZhUdKx+n4eP5ezzbSneylhFjZpxCmRmt+pJXz1dzFFuqRrf4wn6dNzUO+Xfzv1u8dbJkf73I03VZ61/5BkN1x7tvDNr/dP6dM9a9iJg/HQ/lX6o3pRkfrP5Z6r2YDJIh9dsS+Uk1lIqY9iDKEnJBmEc65S5zgdDCs/M2O4xCfy9ikBqZ8MiLtqzYJ75XMfxW2wyqjOUt6aHj4NbkKXyC5y7rAIqSsyf5IEHXuG1t36Fvf2UVBNUnGZlr9vl9Tff5OnHHuHSxfPsvn3N+b1aV54Yv7lWg00tZoDvLajfaDtNcD3FkLUWixJJxK1bt1mKt2m3KRZbzbb8JZVzqexKbtMJemViHDFZWMSRPyqAzyBSWyuBgUKKLLL2GBH4GwMOzThfHsR8O48pO7Owc0rRqpazvOVcBEzSh/VcwpP4x+Z9csLWyNmJ3dHVHXC0GJvYVsfMoAFUomil+SafusecpA/3hTpZE0HA8cZRvY0CpEdUd8AcMMYGZ7DerzjWaHA3x4A/8w0m5LSnkrvFLLGx/jxrq7/L7u6tEtVwm0SrsLZxiqWVFV67cgOSFLGKMUJqQSIDBheHIQVJba6pFcnKKtazVqtFmqakaskCIKpVbKr0ejGwnPcBWTtLpHae0XUDThbu6fdjli3kPdxtAQEnBWMT2yb0aR1Ldm6ZBG2UaVv578OXloTZ7LARJGJVHOUbGJ7ECcQoQWJJIVQ3Sx6lrZ23KfL85gYB8b6wkYvAkHQ/hNq/QxYJsTD9hV5qeePtd0mTHr20h2qEgPOPjQ09Tb0m1mAib56cCpKmGHWespl2yWmYUu677xImEm7dvs1+d59r15fY3rnA6VM/zKMPPpRr6qr9MLg/jtMcek8TrYAc47yzUwePm+qqAoswmo5zlPCAgEXBBBrbBrMX/7OiBaiJ/ScZqxUTqzDQAwICAsZGPv82naNgrEJq2d7aZGtrm7jdYu3UKaJ2C4kMdsjcO3df9BFm1tNfr/5/vzgZods9w9bmfSC3C5cZEVTBWuX1N99GACtuhRMsoIgKsUJqLRhQMUgc0W610N09jE0RBJsFgRJDu91iY/0MZ89+nPXVR9naOUO7HYGscvHCeR+AsfBLq2ts6/0Q1sWAYRj1fsw6xo4OVSUITNbe5j5pnjYXu18CAgIyzKSxzSeJQeN9Bv+QQ0eYrwKOGuEdDJgjMl9FMQZRJUotO7dusPvm57j7zV9g8+4dolbMjYsf474P/QjL5+53OVw5mRu6XDttWyS9Nnif2cyj0/hdbp65Ntdw+89pQuyDGqapJRVHRjvtmHanA/v7WE190CdFDJw5fYpTGy+wc/fPERvh9Ck4dUZJNUVTLQIlSSnoiuC1zAu2ZgacWCzqe1Y0q0poJwrM1LAxbYq3chjCvJM4z57U+wpYbByIxnZYEKRxp5ujnUgzQ7GjQBjwAUePxdzGBMyC+jPNSK0RgbTH7iu/wubX/glb114k6XZpq6L7YHfe5FrvHTof/ve4fP9lrLULu9GdBdnMG0V7xPGW85n1gQ5FwYhBSnko61ZJqopYFwsZdTrg1Fr2ez3axpkmRwiRuFy4cavFhQvvYX/rz2AVxCjWWlQtiPVBYLJsuNUIuvVAUQEBs2KW92kWonLQ73GlvNHxthqh2Y8w1A4MgdQGHAXGJ7alv/MJoHxMBp87dvnzzLvTWPS9OYuFCeeocJT9Pr+APyNrnmN4+YPeLJXN+NTr8AYGW9LSN+WTGHRyrY4DaOcolE2SFbBJiqZ72Fd+mhu//4/YvHMboziNor9ALVx585usP3aTS/ddKvVDqcwTAUcfW+0tVlavsbfpIxiLgJYjjGqmNKW861UfiAqT9bPTzCa2h41bGO/H24oM0GJpeYnV1XW2uys+MJUtHJ0VwLogVOTZ12utpWKOPI0mZNg4medaMGtQSNc9U7bvEAbZqLZN1wQdOJ0EZCgFaCvvQ4V65scBV47xvBa147WYf/KEIQdAxOc5/kel+xmn/lnaN697mzli8+gKZiq/CfeCFn38dD/91DaHjAg1Pv/NUJN5yagHaBuvP4k46S/14mIxSe2ivw2HRWozQlshNWK9RQqo9SapOZc1iArW70IzApTlQ62UPWljhljBFIeLNChZfQUB89dmbQJIeqRX/iV3X/xZbr31FbrbOy6PtpY2SICJW6w9/Cd47NFHMeAi+Po8iScBGS31BscAJEniOKYIoo5YWnVZd8Ti8tOWBQS+HAugKVH2SYVIAWKSNCFSR1SjVkS700HNNtHqV9jb/QgiYL2/bhbQqiIsLl4y//JVV7JJfWyPSuM7qy+wnXF2mncO3rGQCUzqX9phYdrcJDJtr43cj404fhiCjiZM5jNb/6KhXB+FfHi9s62F80yxJKputsqnBXFzkifzM+uFZsg1O27Z05RzEveqWvo37AxF58ZtDUdtJTt/TKWxzXd69XOOpLOa6xxrYTuKZp+88RowC45yngnvYo5sI+5McCH2WgGriqqjIhGCUcFoVWBuCsvRyvPMPk6oX2vcrOREKz8nZ7RuX6xKJAabpph0j52v/UNufvVnuHPrJngTWkGQjIn73VF69hO896Ofpr20hKpijPHRfSe7gWnXgsPYyJRvJU1TbG2zK/4/YyKwimihtc26yuI2mmpd38TlUlXd+5KkGFXUwJ3Nu7x79V1On3oRlQ85Ulzro1wrXsqB6vju4D6p99WiblaOKtDVkZNa6fujQC0H6+BLx+uzYWmgBmnLy6R2Gg3+uONz1PNuqntu78oo7eYBvC4H1fa+sT3i90HWNe6xeeMkkto+DJkadMixg0AWM2KemGYcHOTzPpB0PwEBAQEnAdmE3O12iSKDacdEYkCtI0ACYDyxlIq2tA8Z1xygwR3ZjmFlFg0tSX39T9F8v2xSIU322bn+Ijtf/O/ZfPfr9HZ2HUmTsjYoI7WGzukHOPXCn2V54wwJFmMMSRbA6CRCHLGtPBzxPwSMkTz1UWY17EyMDakqqdrcdDEzixQEVetJlZJYS7pvMdbw7rvvEsefR/jTmKhdq7QmOi6bwvtnXRbhHxdSGxAQEBCwONA529sflf9+GYHYBgQEzB2jJqyj1PDVNRiqShRF3Lp5k1vXr3K2vcVZ8zZx1ILzH0U757FR5LRp3o4384ozWldtlsx9SwR33Lsddl4e5TjT6In7znhxr959m9tf/cfc/OYvs7d1G2MVY0HEeJJWlKwi2Hid9tP/JqcfegYblbU62Y+TBxEhil9GUEwUIZkPm5BrVAWnic9ophE4e/YMiU25c/cuvSRxgg1/rYkcsXVnO1hNSXuWXpLw7pVXuHTxVQzvzRoBCMPkB5MIRYaNhVn9XAPuLZR98KaJPHwcMO/7WgRN5yI8s/p7FNKUnWwchDn+QYydQGwDAgKONeYRpTOOY86dPcc3futn0Wv/iK0WLHeWWd34J3Duw7Tv+wDmwgdor26QWnJTXu8OOZDBZj5RMLu81NMhrNU8kEiSpPT277D3xue4++WfY/PaK85/FOdVmpstl4gaIqgYTj/xJ7j05MeQVpTbOeeW1Sd4M2LiV1AsURRBkjhS6zWwIoIRIfJiAAXa7RYXLpxHgZWVZa5du87e/p5X2ytYWFpZpru/T5Km1CMc37l9l9WVXc6cEax6X0rxZucDJOmleDEVTPI8Dsp8NCAgYDEwaE4eZpI+CvMOJjSLj23A8ULmvjQNMhewg0AgtgEBAQElZJuCOIp48rHHuX6ly96OJdntsndnk/a7b9J59V+wfP8HSZ/+12ideRCJ4yKwkIjzrfTl1S1dx/K5HWEBLABWMcZp+9Jej+Stf8Htr/4sd955kd5+DywIxgVDwpmz5oEjch9OwZ76OKef/gk0ilBr0aja4pPMd9RaUmsRiTFRhKaZttX1T2QMkWYEU7l48QLnzl1gb3+FVnuHKI658u477O3te+eolHa7xcVLF7l69Sq7e7suArKCqrC19X6i6D30kgRjvJmxZh6Vw98Ip/Gf3CeyfE4grouF8vMIm/6AOqrjdfg8XB/XYZwH3OsIxDYgICBgCM4/8Dx7Zx/l7tWXHekTIbUJe7079HZ/g6WbL6LP/hStB78F01lDfWTdMi2tkNjMH5MxiGsDVMFEMUnSo3vrZe587afZfPXX2d3ZxqYWseL9PV2FjnA7zW0EpL6OaPk+Hvzwv8byxgZEkdPqqqLSRLNOCBR6vcTlkzWWyBiMVZ+iIvNFKh5Wu9PhwsVn2Nv6U+ztvh/LLufP/i/E5rO8+uqrrhzgzp1brK2v8fT7nmJre5dbtyJefXWJXu8pLl764ywtr2I1Ra0iYjCGkk44ICDguOMoyWUQYgXc6zhQYnuYuSbHRb65G35C435inpEVc7PFgEPBoURcXegFpWYfm3dH8yA4jH47yrljqG8iIMtnOf30n2bnzt/E7u/S05TUpkgqxJrSvfY2nd/9G6y8/RwbD76AXPoOTPui08SJzaMbOs2c1wSqIHjyqEXanlwk77W97qlUTZwzuqkqJNvX2HvpH3HtxV/m9q3rpEnqivGm0MbfharmxDb3rhUlitucfvYn2XjwGTT2xNcqYsDOYDe92GOAPOiWAL1eD00tqU0xLUMsQuL7P1VLLEVe2VOnLpLu/RSpfdTnvF0n7X6as2e/wdtvv0Wv20OMwRjD9evXOH/+EqsrfxHsC6y+z6ASEbciRFL8G1AKgVlqVF+DD2b8TeuDexDP86hyUY6+9igJSP2LI2nGRDgos9Xjr6Gu2+H0G1TM8mYN6p3+Goeb+U40ZnXEPneAi8Swdg0/SUt/TvDsR9R9pJiyWQIVt6CBx6ds0riY8Wk2YDZz4qoT1PQ4MGK7iKQ2r79pihmnD+fU/JMccHRRcdQ5+o4OA5w+s88Lum5kmKcEuul9SBUkFpYe++Ocfvt3uPXy50iS1Kd/EWzq0rzsbm7T/cbvsvv6F1la/XnaZ59ld/lZZP0infUldOkCUXsFE7eJo5jYGBBLYsTHKqrOUFbV++y6CUKzcxQ3aXTv0n3zt7n9tZ/n7rVv0E0SVGIkjp2JscWlJlIliqPcNNr6skVcsp+7qy/w2DN/DNsxOFWyC440q7Z21LOqL3yHNW4coS12FAZyYYCxiu0mRL4tKe7dUCNYLJ044uypf4Veeh9qeqhxKX9UzxLrYxj5PYxxT3IpbnPm3Bl63UdQ8wISR7RFEWNdeiXUp5DyLbFJqV1OeCGlZzD3Tc4Yc+JRBdmZK6lVyMQ/DSccEhZz7Rj03OftkzkvlNs96L6MTCdDyooa+ASnfKxSb0etnEw4BziXlNoph5rqqsGHdtbUMkf9ns1r3svkxos4imZr05EnWQPuAVPk6dOclx5R05OatvhFePoBAQGNUPURjx/7STp3rrF//euotaAucFOiKSIWUuj19km23kKuvIXKL2FF2TaGXXMf0dI6y2urdFaWiFpLbC99gPjUaVbX17Cds8jSaZaXlzHGOK2sKolNkMggRIjEzhT6nc+y+fWf4fobX2F3t0vqCatT/Emurc18dPNpxjhfW8EQxxFra2dYefpHsVGEmGIDUtkwMXh6G2exnyRH5iSbl9k2GlUxudAD3SqOqmJ8VORMcmzEgBHW1s/Rir6bFEBSX5SiFmzyAeL4f8P2nMAg7fbo7XdpRRfZTSLUOTsPaE3Vx9IpJ5yqPRPmZFGpj3qDdzIhtd91zLPPF5PIZhg1fucpjJqnEKWpbHd83LIGf39gTR888TZecmQzRCYQGCQYmInX5qH3pm/bDJDGqAcHVUc/5j7VN+n5Tsgyc+KJ7awYRYw1qF0DAk4sxBiiKOLc5feytvQfsvmF/4o7b30Rm6YuWJR1urbEJiCW2EQYEUdCUdCUTvoauqXs3VC2xWsr5RcQY9iJIrqt87TWLsKZ51m//DQr5x+nvXaaqBMDESbtolf/Jbtv/CZXv/kvuXv7JmmqgHFaWO9DWyalXhmMpgl4Da0RQxyJu5+n/hidJz+CiSKsobJ3sEO1+wfUpw3RPA8DKiBqEHMTE3+jMMW1SiSaCwTEKkSKGMPG6icRecjbp6s3EVdPOs8RxTGiPTwPZfPuJp3lN+is9sDEY9yjFhGQyxoQoVmpeACYpv8X2zolIOAeghyt9Z+W2lC3o1UZYCY9QUuPVP8n8+vTE8IfFxaB2DZgJKkNr2dACUdp0nfScSSuDuJMeqNWTNQyLC89Tqv114j/6H/kzuu/yf7OjtOuWRf1tqfOV9OZ/5pc4utyx1r/TwsCmqRYY4n330F2rmCvfJHNl4S7ncusnbuP1cuP0774PuyN3+DKq1/k1u27LthRKiimCG6UtTWTMIszozaeZRmElhhiiYijmDP3vY/lx/8kUaeDappvRlQKze880RTF0wVuavbHmikBvPczdh8gTVOKO3a/IzHeVFhRqywvn6LV/n5SiVBPZjMi6iJLG1qtmD1vMu6CI6eI+RqR2SSxZ6jJDgZCSv68eT9IcWzafhg3avKwNo1zfpjXAo4bJhHoLLzFxBENv4E+vlWb6H5MoBU/crP3MK0dSwRiGxBwgFhkX/OAKWAE9TpMFWH9wqO0P/4fsnThZ7n9pb/P5p2bqPXBmVQdObRKFMUYZ9jqykids6xkplmiKIbU+jBC1joz4kQx+2+zvfU2d9/6A9prq+ykCbu9HomCqmB9IKpMouz+KcabGhtjiCODQbFpglglVsVIytrKBuef/THitftxnqTk9wcgmEIjOQeMGgOHuYmxquzt7WGtLfycVTEixEboJgmmFbFx5gk0vp/U+72KunchkyJYuwxsoLLp/GY9+e0sXSS1kTcBHwV3hohg1VY2jC56slT6btK5pC4waGzJgLLDvHZ8MchCIjyzg0Hox9Fz9kyCyEUXKAQsJAKxbcJIEfuhtCIgIOAI4UitYhVElNbyEmtPfhrZeC/tL/1tbr3xRWySOlKL0+Ba7RFJTGQixAhRFKMakSY91Jsxax4ZF4wnVkY9wbICNqLXtewnCV1rC0KLoCIYIEKIvE+u8wlVIpQoVSRNUeuDIwnES8uce+YnaV/8BEqKo6+25FiTaTJlQPSSo8Hc/O0wKJAmCU77mjmJWVRToriFsUK702b99CcQTmM18SpfC14Ha1Xp9s5j7YNYfcsFfsKRUCPvI+WU14rPZk980L6Nk24YwwY+4KRhEpeI4/D+H9WMPdrJYn5lBwQMQiC2I1GPWVqCWmeaFhAQcKKhgBhxEYtVMe02q5c/wFr0E7STm1x56w0X7Vedj6rT3iYuZUynTXt1hb1uF7UxabeHTRKwmhPVxBNcZz3s/GA7Syts9/bppZ7U4t0jFNrG0JKISC1iU2cO7bx+kcRpj6NsWyBg4pizT/04G+/9YSIjJJo6Ta1ax9Oa5rkThswVzJirJGnSdzRNUyQyrC4vc+bMOTpLj7K3l2m5bKkUp5k1kdBqt93XXpNrIkMUxySp89NWm9U6Y9sPQds2qI6F3fSPs/yGJTrghOMoSW1T3bOS2jB0A6bBoRDbefoezt1UQRt8aUUZmSc3YKFw5D4bAccOji6C2tRFyfUBMUwrgouf4PwHd7h7579me/M2WUwhp7l1wYeMMdzZ32e728WYmFYc02610aRHr9tDrfe7FZ+OB3FmxJqSGEOSGkc2VDEGYmNoIUSpI7WoS0GEj75biTckoEZIL34f55//SUy7TSIpKRYfT9nRrcy0NjelLUxhC3Nn54Sr4jTG88C8TZUzWmqAdusraNrLU/yov7dInI+sTXucPX2BbvdJr1m3Xs+btdW/B1FEp9NGxJmEiwjtVhuxl92zMcanbIJiq1b3UdWS4jzTnGvxN4Upsap7p2bR4tb9muuY1P+wfP4sUbOHld9QEkMFBipOcNN4LRzl9nmeMoF5plKaJ+Zp2jqqrEkEOIviZ37owfdq9c37PZv1+oXlFkeEed5XUfTRCskPTWM7T4nvfF/AhrLVbfbMjGZm88H0SZJPKrL37DiYFS0SFskv8qiQpWOx2UbZkx8Rwd73Kdafvcru7/4tn5MUPzcYFEPPKtvdLokYNFV6mpKI0BbBtGKSJMWmFhWvEQZStbTiiLQHaiJHkKylE8W0TYykljTtoT4gFeL9ML22WFTcrtkYzPqD3PfRnyBaXyEVJVHr7iOLACxZmCv1Qag8QRYwCmKdBhhPctUI1sxnzqv7kh50gJcsJZJRILVoat3f2fPN53vLylKHXu8ZkLWifWQrgiAqmTE57XYrPy5AHLex3aeQ2BYRlEvZJkWqpEbVWzlnZXsBXOb3azWlvBal/t1zZUlfv43TR+OeP0pLPCwv8bBrRgkXRwUPK47hO21421Sb7vFo5y3XP8PaN/76PalPdHZ8lnVw1LWTpPs6LIwaI+P0ySg/90W877nmgh7j+mnLWIR9xVG0YUG44fTQo+dDR9+CgICAgGMIdfGgMK02p5/8AVbOPZ4vRmIKYpmkKalaLBbB0um0efyJx0g0ZS/pYY2gsSEV3D8jxEsdeqr+OLSXOix12jxw6RKPPvggcRRhvads6umY5AGN8GmAwLRaLD39f2D90kP0NCHRJNfUQmkRzayWRTAmIhLj/hEhNmX79g3u3rxK7s57SCiTtnHJWxMMxaKnVsEHZjJiMN5vWYBIhMuXH8b2vpM0zbTbdRQa1CiKMSZ7+I7oinEkWqDILzw1Shp1/0+9Kbtaz4qz72v/KtciBRmsfMfwfyOO64DPrl2lNuT/pO/8prIa684iUDf8K0QNw/4FBAQEBBwsRs270/4bD8HHNiAgIGAM9EtvFWNiUk1pr5/jvvd+gldvvkzaS8DrQFFFxNCKjPeDFWzaQ8ViOi1ULftp4rS7omiE28tHhv1knwQXeKjdafHwhftZMoaVpWUSTUmNoNbrAb0KMNMmYgQxhouPPMOZZz6KxuLKylwnymuEeDtZLUxyTS/F7L9L7+ofcPvtr3Lnjd9GTIulb/u/0bn/gz6e8vGDeJ2rUYvaLknS80GMHYEyXnO7urpGJ/pX6crDJFD02QByqqq0WjEiRVKf9tISGJMLAWamUAoD5dBOokFl4R+gJdGczGrtOshDbDfU3cjJy2XlbSXvL8nfy+xraSyvX3AyzNQ4O9bUu6M0tkevFQoIWGQcdMq1gIB5YyGI7aymEvM2FxhlvrKoCHNPQMAc4VOzIELPpiw//v2cefl/59o7b+Y+r6JCZJV2ZFCcGXC3l/LiS98gjmOidgtJI5ef1hMEEaGX9Eitp6lW2dne5l1VbJLQbrXoiZBGnkipOsojkusVRWF9bZX7Lqywr/ukmoKo8zkUcCloHKF1Pr0ueFTa3aZ39y2S136R3bd+k81bV9jf7yIipBLzpRff4UOXP3gk3Q2zz7dOgypE5hYSfQlrLUZKYbN8/5/deIFIvxWnw7W5mXelLG+IbFWJohUiY5x5OtBqPUzKSu5bW6eO00YlHuYPW18Hh5kHT4NpfR6HmT0v8pp5mBjdr4fUkABgtIl8wPHELM80EPjjiYUgtjD9y7cIE9EitKGOMB4DAg4WfYucCmpy71TM6gOcf/r7uH3j79Pb7/pzLCSKWEPLONKUqstbmyQ9nD+lIY5jUmux1iXh6fUSl9LHW5km1nLr7iYWJTIRcbtNagyiFlFD5iOqJa1ta3mZuBWxZ/ZJUFRTZx2d+ZniGm5IsXt32L/yeba+8c+48+436e3c9facmT+oQTae5v5Hnzm+Fpyqrr8QokjY3LxVNRUGQGh3lliO/xzKOqqJ/7Zfu6e+c0SVZP/jGPlpFIuJIuLoIRJdQcXnCi6slBsxiMBmJthNQtw6ke2/9f5cuAeJUTE0wuZyMIb1ywm+5YVGEMD04ySPv4CTiYUhtgEBAQHHCRlZUe9AacUQP/THuXj5V3n7tVfyQFCoIqliiFzEXXU0ydrCYVCMwZjie/dtcT04/1sLWJuSdHvEUUyr1UaSLppaUgX1FMwCN27f4uVXX+b+zv9K76EfJW2fR60Q0aNt90n3t9Crv8XW7atsvvZZ7t6+TtLdd2RWxW2uFdR0WHvwW1h57i9z5v73+NgQx88YWfL/IOn12N3ZRYD2/hpR2nJ9boRTy+9luXsfaW+fyPtFZ51hiqfig3Y5E/C2dFjeO4fd7xHHMZ2dVTTtYSR1z1UVKQWPGoXBmtkygS1FUR7n3usRXY2QrsYHIqRQbd78Fr6uk8MVO8LUeBb+EfbsAUMQCF1AwPFEILYBAQEBUyIjtSqQqmJWHuDUM3+em1f/c3a2d7wJqvON1DR1EYiz/VK+J9fc/zZLo+NcPh2ZyuhvWauoqqTWYtptWlGE0RTtpdg0Ra1iVLH7CW+99ibnzpzirP3bdNefwtLC7L5L79pL3Lh+jds3rtLr9kjT1BEUCq2eIMRL67Se+CkuPf+DxOvr2JYzzUWPLycQxUWy976l7/3Kn+HcleeK42JA3pysTJQL+ldLZcTANw+oxQeP/XMdXv+xhw9MNTiKZE9fzQgf2kq901QStHIBAQEBJwljE9t55aI9DuYeh5lX7WAxKnDG4aOci3EY5mkydy+i2udFgBv3pSddM7wP88xTfRD1z6/uftPUxCidhz/BpSc+zCt/9DnHAbMcpeq0fCKC9cGayiXYzBPTmxPnvpmlk/Jbsc5fttdLiFoxrfYy0ZJBUovtJdj9PWzi0gG9/cqbaLfH0soNtnd3uHH1Glt37pImaSXvXGZy7D/S3rifix/8S6w+8p2YpRaJcebMGeU+jshTrIhx/S0gNiay7dqZk4+HiNnLOCxIFuk5T4czSVsnuy/NIiEPa8vIdGINx0VK9zD0pMHlusJHXDsbjmIdGxV3pGzaPg3q15bT5Nzr6/Y8XeoOYq98HPbbi4R57S1GpuMaEqjweKApKN9k0Y2nRdDYnlg0vUBHO2LC5Hr4KPq8FMbG7eyO7/y5AJDa34qStpZZfeoHWX31D9m8s+nOKXW/Zs/AW5WqCGIkc2nNn5DLR5tdU64sO9HS7XZJkoQ9H1SqHbdYWl2ls7JEsrNLd3eP7TvbfPPuN5AIxAi9bq/k9OkCIGWETxGiyLD2wEfYeO7fZuPSw9AypN4ZNfM1lWNLbQGBNF0l6T6C8s5Rt+boUI+OPQR9ruUTTxgjNnEN+UMza+9GlMdFJTr0bO06qZhVEFl+XmWhaZ57ueHae534LgKm2X+F53Z40OzHce1yaWj8IU25gdjesxg1au7NRT8gYGp4f8BemhCf/SD3P/FhvvnFz5EmFkQLzauWfjkFLVEUYW1a2nRkG3St7NNLoU3yn4lNSXtKN0kQs09kIjpRxEp7CWNapLs7aNJFbAqagjE+vU0m1BCsKkYMcXuVpcd/lPPP/yArpy669KhRliKo3LbjC+fvusSpjRfY3vn8UTcnYO4Ia1kdozS6AScbk5Db8D4EHDcEYntPIpDagIADQYnrZQowYwwqq2w8/WOcfeebXHv3rdx3VUTAWq/ZcBfGceyVt57l5s63uQduxbinTm6zHKzZJYlNSayyn+4Si0GModOKiax6LbGwtNQmtSndbte3y2BWL3P++X+dc+/7AbSjpGJ9lGXnQzyV1eoiQcCq91wWWGp9mo2Vd7C6ciDFq2qe/qeOSMxEG0RV5crubZaiNqc7qwfSvpOJ+qgofQ7LXEBAQMA9hwMltsc1ZU+QSAUEzAeL4FM9Lz+Zyla6pIXN6Gj31Ac4++F/m53P/hds373pgxY5/9pMH2uMITIRvV4PK2CNQYmQVJEsVQzVPbizCs7iH3tGjQ8+5X5502YlRem0YzomxuxDb38ftZb97j6ra6ssr65wa6/D7tpHeO+3/gQX7n8PtAy9yHn8qmopVU2pn2rP9djMoeIy+CJg4hVOrf4bdOLXge7QSxKb8ltXv86Hzz9BJ2rxu9de4unTD3Cq3U84P/PGF/iVt79YIbe7aZdvv/wsf+axb3NBq0ZAUa7v3eU//fw/4NzSBv/3F/5VluPOWLenqnxz811QeOLU5bGumRSLZ8pYMeCvfYbRDDcg4OQiG6+jUoIFBJwUHLnG9qhJ7T2LUd0e9gIBAZPB76mzoWUlpfPAJ3jg2e/lld//aXp7XWzqtKDGu9hGUeRIYuZgi2IEjIlQEaxNHUnKCKT/YTILZS2FmRIA67SvohhRWgaWjcFoAqq0opg0UlpLMamJWH36z7Fx6ePEK2dYP7UBBqz4wEK+rmrKlbIJ83GFC+alAksrKywtL9FIbDXlZ179LZ469QAtE/FLb/4B5zprA4ntxy89zfvOPET2Fmz2dvnrf/RPeebMwxP5JW+0V/iR93wba60l2qY10d390Y3XSDSdG7GdNS/t/DBIe3uso7AEBBwIFnO8BgTMB0dObAOOANVINE0nBQQEDEEetZjBo0UF1MD6s3+JB7fv8uaXPkMvtZRjIadJD4yhFRvWOx12dvawtgdRi1QEjEGtzfSxvl7BiCDWgmpRnlWMCAYlUkWwRNoj3bVYsbSMYIwBI5w6d5bLjz5D98lPY9pLPpaV5oF6xBPbEp1uuNPjg/x5SW6VPdZU2LNpfueppgzSfYgIpzuruelwai1/8ys/zw88/BGePfPw2FpLQehELT71wPNjnV+HxZLqfLUzi62hL2trj/f7GhAQEBAwGQ403U8T5hUWe1aMI30enY5g8QIxjO43Gb7mj9y/zhZVcRwsYp/eqziMVARHIVGuR/acspDib63+qVnqnniVM8/8ODtXv8zVd9/IuZS1OO2npkQGLpw9ja6nvPXOFRIrIDFGjMvI5P1yVRUxBkOJWGsRsdgomFQwmjqTZa8IVoE0NlijWIXrN2+wvPEmG3tfZ7/9ASJvDm6zlnuNpgFsbmZ9nEM1FshSKShO8DCPN09V+Rdvf5GdZJ8/8fBHMBPOWarOV1eEivmyqrJvE67t3kEELi6dpmWifB273d3mxt5dejbl7e0bnFvaoBNNpvE9Cgwbg+NrhwsiO/76sLik9ygVbAfhujHLnDqv9f0otZaHlc7nJGFxLUMWG2Pt/U847nmN7fHNUTsazfeWNlw4VulDj8yT1B5UHfcSqn3l89ZmkY509sQti05qh6cSmWQTPOB6mpcI9f8lpNjTj7Lxrf8We7/xX3HnxlVSFZwHrNPFpknKtevXeeSBy6yvdbi70yVNDRp5paIRIEKsImJQq4ga52sr3sc2I2vZb09FjTgtYGJTd54YksTyxhuv8dD6z2GefwY1HZfhWFw+W81NoyHXFYu/az2+S2Mhs1Os1IJiHSDe2r7B3/jSP+VbLz7Fi3fe4tkzD4/lX1vGL7/9hzy0et6bNrtn8vbOTf6Hr34G6wNVbbRX+PNPfjcXljYA+NW3v8Rn3vgCqVpu7W/zZ5/4dh7fuO9A723SMTPL+J58LZDSP1hk8joKs02Ls1lkNQkaRuEk76nmhYNeA+vlHSVBPIz9YMAEUMj2gQOR5RicGkc/vmfS2IYJKmByHIQ54+K+d4tqmVCqiWr/HXd/ydkwK7nN0FdC/porKkoqYC5/C+c/+u+x9S/+U3rdvdJF7gkkSY+NUxtYm7L16lsYm5KmgPERlRFMFHnTZK/NgyILT16akvomiM8p58iqRVVQr4JN9/Z5/aUvcPnRt4jOPZ6b17rwSuVxOugNcY1fpDVgXMuasstwJgAYhMRatpNddpIu+2mX290tBNhNutztbnNrf4vluEPHxH11n+ms85985CfZTfb5mVd/mys7t/nUA8+PTW4VePnuu3SiFu/jIVSVV7eu8v958Vf40cc+yXtPXUaBL954lb/+Rz/H/+NDP8pS1OZPPvJRujYhsQk/+vgniSQaq75RWPx5DSZdFxbp3T1YHJ6b0TR9eFBzboDDIpHYOmYSHM8YmPAg+mFe72m93MOfJ4fdlxdoH/PxORWxDZNSQPPiOcpxzTD94jqOU1wTFmfSP0wMXvxKu3uYrVsDBiLr5dxL9exzaLSC6q6njuK0rgrWKru7u9jUYlBMrnMVwLh0QkZRI0WkZGsQzUoptLSucAWTxU9WEON8S1WdxhdlZ2eTmzfeZvn8Y3lwI9eeInhUfcTIiDBIJ2WEXdm9xf/4tV/k5v4mv3P1Jf7rL/4sS1GL37r6Ild3b3N+aYMfePijfPvlZ/uuXW11+OD5x1BVnjr9AP/J5/8BH7nwBKc7a1O1xaL87Ku/zQvnH+PBtfPspj0A3nv6ftpRi6/dfosPnn+MCEPsI2u3zD1vkBUQcE9gHHIb9u0B9wqmWvkyidtJI7sn7X7mh1GakdnLGIWmOoY/u5Oy5e5H5n85GlVt7XiBxAImhvb/2WcymeefdUQxTVK+/vUXUauk1vvMApFERMaQWugmqSOrRlAREINBkdRTWhFHRj2bFmNYXlmm3WqxvbNNL+l5YawjzDflIc6uP+LIbKazLZsa1xT8o2QgJ2mEXV45w3/wgT/NbtLl//l7f5//4AM/wpnOKv/lH/5jfvSxT/LExmXaUfMSKiKcaq/y8NpF3ti+MTWx3U26/PbVF/nSzdf4pTe/UDmW2JTV1njpgI4ai5cqKGDRsEgax5OCMIYC7iVMbYocBkpAE+a5OIXAUv0Yh9i6vqmbIt+b/XUYqHv5iXgy68kn6jSoxRNQekkKNsu1at3VPUWNEkctFGciq0awCKYV027FpDu7hZwCr7n1DrdJr8vDDz3A8uo6N+9us7m9xfZej3flSc49+yOcP3cWowlRKahSRGamS/7KaMGb7ylI7ZNUjrhPWbAnY4brs2eZmowID66e49969gc4WyPHIobluD1ReYLLoZz5FwcyERBwcnCv7oMCAmCG4FHBT+IexrHdA/md+z362g7evN7bPrbzxKDXzKWY8UekIEaCoJq6YF4Zwczz11rUgqohjiOsTUmtxSJ06bG2soYkKdrroWp9YCFfqghnz55l5eLztB/+Pi6sPsw5LNv7PR5prbK01EbTlMhHUSaLKqumyF+bmTWXzZKHRFzKPXNPwBh7Z+cW/8NXP8P1vbv8xrtfo2v/EUtRi9+99hKvb13nwtIGP/TIx/j2y8+SaMpn3vgC33H/+1lvLVfK2ezt8vrWNR5YOTd1WzpRi0fWLvLNu+/y8P3PVSJ63+nusJPs5/UuRW320u3GNVr9tRxC5NGydVeIdBoQEBAQME8cmBNO0KLda1jUZzrKB/cgglcdPSbdHBbn1+4/IyiL+jiPM3w3510sUhEjSP4fGCPY1H2b/SyfqygWi6hL9YOCFZcrda/XpR1FSGodIdXUpRNSS7vV5uz5+4ne8+dg7RKGBCPKasdgRQCXRijLiZupbJXUtc1Irq2l1PImnIwRBpeWT/NXnvtT7Cb7/Mef///yV5/7NKc7a/xXX/wZfuSxT/D4xmVWIqcpjSXiTnebn375N/nBRz6ak8xru3f46Vd+kz/24Ac51V6Zui0G4Qcf+Sh//6Vf5cLyKZ48dT8KfPnma/zim1/g33z2B/Jznz3zMP/dV36BP/HQh1lvLROJ6VuDXWAxyYUs8yKbGZGtk9uAgICAgIB5YAJT5LJ/VeEfdhAYYUA58ox5YxbSHkLfHy5y08lBqNuGToFRj2teG8RB5Za/G9/Htm6KrEVk2IbLR5W9qFqYURqicY5PC62FK85dW/u+zTRr6giHV3lGgM0DP7kAQqIpkZhco2tR9ntdYhNjxJmsGomxqqQqrK+vc+qRbyNZud9HO3bmp85UWX18Keerq9bFUq5YrJfbm9s5K0c1J0sfyZ7ftbGJON1ZZSlq0YnanO6scbazxnLc5lR7tc8k+Ecf/yT/5JXf4j/7wv/KRmsZBbaTPf7kI9/CJ+97ZuJ0P9W2C4+sXeAvPPXd/K2vfiYfr2utJf7CU9/LhifSIsJDq+f50PnH+X9/8Z/w3NlH+eFHPz7AF1gOhdhmbSprjydxa5qsXU0v7dDWTVB+QIZZ9zXzft8CjgcWdd+wyBirz2bt1mP+WMYmton6xclL8UUln0DcTzv84kbrT19Gw1wkWSFHgFEm1/euSfaivvkNprUH1OSjeNyjiOtUC0RZcTvnXJNHhXHG7yhMNb6lEAaKKkYEUVjpvYVJd3MHVpFMsOC0ckYVgzvX0VA3s1pAbeo0tyYzNAajik0TUhFS7dESgxFDq9WiZYSVtVWIW3Qj994acbGWU5/3FlUfNRmMyVLDaG7SjPpoy5kcM3OyrecYqt763CD5j+ngb7m/zANALBH/6mPfxp94+CPc3t/CiHC2s04nak38DjmNapUIiwiXV87yH37wz3Bt7y4AF5c2aNXSDRkR/sxj38Z33f88sRhaZnDKH2dB4H7PYiI8DomZdo0cv11a+j2+MFwaXqgFntZGorm/naVGwOFhVgHrqLKPs4n/orbbmOkFkXCE96XgomRMg5PBZSbS2OI3QOLNPZ2LTvm7WTDkesm9xaYqdZKX694kqFMgdFNAwFgo68cVJU5voem+E1RQ+MIiWa5anNDQMWLAa1T9mda6DamIYDJtrjoiKjjTZHAkOIpiemmPXncTJQGJPOGub2pd2errR3WYCy3jDv65TRGzkFodLUSdBdnzW2stsdZamqksi3K3u91nviwidKIWD64O99fNch5fXD41VpsH+b9OTMSH+fIOILXlz+NYgsx7XR5W/ILut8dGc3aAsIhPg1lyqs5LQXKcTfwXXXN/PPJ31yG139Nef3wREt0FBEyEWQb9Md8pBUwFFffP5CaZEBlDz5ate71WNxMbll4zZzHqVMCigLVkOWlVXQbbLPetVUAtmiYkWG7euoV+5Rc5e/7biU4/yVCLBs+d60fDGwsItE2Uj/xYIsycFn+rlmu7d3lt6yrXd+/y2Pp9c6lnUXCcNU0BAQEBAYuHQGyPGCd1UT+O0sNxMcsjO4huOc4S2kXGgeaxHmTv6jfxRoQ4ihBN3ak4DV3kNX5GM9sYFyBKFTqdNlaVvf191KpX8mZBgQRsmkv9rb8XmySkarl+7Qp87Z9x9qP/LsQlH9rMRySLoixZU7Xiq15/3UeZxQ/qu+P8rrYk5k+/5xOstZYxYvi+Bz84ljZ0GuynCT//xu9yZecOf/Hp7+2LsHxSMMzfNiDgqBDioQQEnAwEYhsQMAFm2YjNlMfSGNI0nb6AgIkx60YmN/jzZNOIkKYpaZoiEhGZyJkOC86ftRQRWRBEnPetIpw9c5Ze5zJrW29w+/YNbGrdEa9lNVn0YshNiVUtqVVIlRvf/Byr7/tx1s5eLkyRK24e6mvy/rxlV8VaN+iI4FF1s7pF3xD2zi+xt1sIGQbhhYc/BMA+8P6HPgDA7lxas8KPP/JDTnCBsHdg5ValFL3T7cpzrQd4WlTU2xeIcUBAQEBAGSee2C76Qh1wjDDrHkq0Udt7cNFBAxYBQinoEs4/Vq2zP1a1tOKYpGtJvX42asVIkuBiITs/W2OEjTOnsWc/wTf3P8CFM1/jgdXf4OqVd+jud/N6Op0OZ86c5saNG3R7vfx9UWuxidLd32d7e5uV0ymKrSTFsihZmIwsQJSKDiS104yBRZ+D7/wrFwGvOZ8liBospGOmC5jl34eDtEoYA7PWkQXGKSPMhQEBAQEBw3DiiW1AwMGiTAkmgY7UdAWcIFQ245qn5rHW5Y21FjAuEnGqivWpd6IogjR7T5Q4irnw1KeJHvuzbFjlxq0nMNsXuMTP8M5bb5KmTvva3d9HRHj88cd5+5132drcJLUpTq9ruLbx/Txx6rLT+osze9Zy+3z6mOo91D5rocSdBIOIyEKR3awtLhriVEXk97hI95XhGBPBOrGta5UDyQ04KCzUnBQQEDA1xia2zVEPm9fO0cel+Xj+I+C44GRuOIr4tpNDGS//56hIlsMiWg6nHP2P4iQ+m+E4KN+pQfk3J83JmWlTRSFNE1pRTJIkGJQkTYiNQU3BsZZO38fSe36I1sYpVmJh/fQaye5pVuSPuHv7Flubm3nZ169do7PU4Zn3P8NuL+bG/gZ3Nze5Gj3Fhz70x1hebjurgT4Sq1goZfBpMDMeq6ea+3ycgEHz2WQe3/f+ZM6nk2MepHa2co5yY7K4m6JFj3Z7FGXPC4scgG3R0wgeZb7lo8JJvKc6xia2TTmdslRAQ7fkOmrDN+oFO9oHcRwnu4B5YFaNa7O2t3m+KUK4D34dm1I4NBXckPd3TJwUU8FB99G0aRiZwoFq74oI+91uTmzxeWmNWizG+cO2YqwIRsDEERuPfy9m4yJppFjtoZJilpaRCx9leeVL7GxtIQpxHIMIV668y/Jj303nmU9zJtrgtFoelkzVmrjIygD0z+ellgLa/55NKdep99+ofpvvfNssQZXSGD0u7/FxTmk3yNR40utnwWwxE4bNxYcBw6Ax7BAsg5owj7nnKANPzeobP+957rjMo3Uc13YHDJ8ZAwICAu55HNzi5jbwaZrk3xgF0hSjYHwgKAHEB4KKVs6z/tj3E7VbpCgpPkqyGHqnP0F7aQMj4vPcwurqCpcvX2Zv7QNo+xytVkSrFbk0QiKIGHJ2qk3/woIeMD4WjSzfG2gawAEBAQH3LoKPbUBAQEADDiLgjvhrk8RHts5IrEBEZrXifG2dGsjQefA7aZ9+kJ5NsWpR0dwtw5plWu2OSw/k0wTtbO+wfuYUayurGB8VGcBEpkjRI4JaXFSrpsaGDXLAmDgI4U8gx9MgjNGAgICAOgKxDQgIuKcxiRlZneQ2fc6v8c6rxhiSxGlsM8PxyMU/dvlnVbFpigGiToczj38XRIbEJoh3BVHxJpDG0GovgbjrfUhfrl+5ir1xi/NnrK9XfF0+HZDF/242T8/iItT5xmH4NR6X1DMBDrO+E+E5BwRMj/K6c9hRzwMCFhGB2AYEBARMgUERWvv8dLNATeLS/ezt7fnNRxHsSxTacUzP5ymOWi3iC8+xcukZeta6PLg+SJ8rX6C1Buc+isgf5tpfUDS1xApZth58blr11bnzpNmzOtPu9gUk81fPEHBjHBJU9m0+yM3ZIgdZOa4I2tqAgKN9h8OcFhBQRSC2AQEBAXOGKqRpyt7eXk5CIaOOFkGJjSFRi2kt037shyFuY0mw1mJMNSWNInSW153frPWBntSZJa8uLaNqUbF4a2Rs6XJ8jtxhsAhqLeLzLpc3bdnfTVHyDwJBYxsQ0IQmf1qp/Q4ICAi4dzA2sT3yXIRN+6UwfwcEBCwwMjKbpgkxzjQ4M1EWcKl+2h1iIqIzz7L+0MdJrAsZJQLWghGXlVbEIjalHbeIowhr0yIRlIlpd1awOB9bVU9mPRlGCnLb1NbydJvN/ePM9wepFQ2aiICAadAUIT8gIOB4Y3hqxwCHmYhtecPT2NUjNjtm5GZImh9jdu2AoCdS+jkVwvoQcMwximyEabIZ45rW9vnc4vUqYl2QJxVWe2/QVT+jqeZbUGstqikraxu0Hv9h4naLVBNXQq6lLUyXsYqx1qVh0wSDoCIk8SX2Ow8TWRc92WZXqeQNUhT12lh/F1Qmuop2t7gfVafFNUaGanIH9sOA96/sE1YnzNbaodeNwjipp46jJripLyRPFO9NuEuG5uJNyhtdqsvlDMBhpAOZto55p1EZdXyUr/g82jfIn7JWc3bmtDU0Xtt0X7M8y2F1ZeXW6x3kTzqqv48qzdi8x9AsrhvBRaMfB9EfozhN8W9YAU2FNx2afvwvQu7gg8CBaGxVR+TCHBWcpSFHrtuLjaMpKNVTO/34bWMCAiZDc57o0flWZxkj9blh2ObjpKNyr/5PRyDdDCZqWU6ukrgD5E6v3n82TROu7Z/m4vrjKNZFSM5nVpuTE0FRtbRaa5gowqpiREhVaXWWIIqxqaJRQWzL5s+Kuu+lJJykHClKfUir6n2JP9/a6gZz0LtV/6688cqI6zByO2rjvojEdN5tahzD6t4jwfliu7dGKzl5R43yUfPHPDGr2fm8+n6R567mtuVijWlLn/K6g8c0z+AoyO0ivCuztP043/coHMV6MV6/yJC/RxWenb/4fX9UOBAf21lfbqvDqWthNTf8DJGyx1p+FQBmlFRkDCzeNiogIGChMWDdUWvRXBvpD2dkVUCM0H74j9FqdZwZcUVzUmw+FGdW3F3/EFF7hR47+VlLy8tYtRgM1oI1ToPnMtjWF1LNf2vt6CCdTXGOt9ApbYgOyid2kgjVw65fROI7M5o00T4ydn7v1uYaevXa9YCA8XECx09AwEJhFl4yq+Dq5GNqje1Bbh6y/IpDj5d+DsNQYTb1Dd1ELZvyuoCAgHsdKtUZJDPTq9FDT0zALF3g4We/i87GaWdvnEV+KpkGS0ZicKS1s7TEXmamLMLy8jJqDInVgtSIlNLWOhLrNMkC/rcj2jUta35F9llyKly+p8PGOKmC6t+dCDRIfxUwGDRN2bp2m3Rzj9b5dTprK5goao6CHRBQwQkZLwEBAfckptbY1n0pZtk8jPRlGXJ+4XPRqO8NCAgIODIY3EzU2n0Vu3e74vefT18inLn/GdbPPIiKANb73XrdqUjOcwsdLsRxq7BoEaGz1MGqxXoma72ZakFLS2VkrpmegEudyQ6Bqnozafw99PvcjTL3m9bMeJCv7rC6TwyhhUHhI1xgMGu9j61h/8omb37+a3S/9BadXSU5t0T8kYd48Ln3YpaiwFcCAgICAo4Us1pljYOZfGwPCqOc1wcd6QtOUvYJK5c9KvBUU7umvC4gICCgrt3sbl8j6e7UUu24uS9uL7P2+J/GmIjUplgX1zg/p+ICi5AqiIkxS6edjy2AEaJWi55A6s+0CmJBjCPYZL61eVEl39ZKq/rPKVrTP6OOChY17NyDQBO5PakQnJbdimBTS/LyDW7/wh/B9Vu0UxcN27y9xcuf+T1YX+KRp98TtLYBB4KmoXWYgYhO+hi/1xGeb8C0OBBiO/Nk1vj+DoioWTTKaTIY5krtU1xMSVGdeVfYDAQEBEyGslY1m312dndIk6Q0G4mLNGyEtbOPsHzhA1ibOuWrDlOcGifEEyE1K+ip5xD5A0AQI9A554irCKqCFTcDOq2x96fN1LVT7hu0rv31xLL8O+DgUXlcqnnQxc2vv83dX/gKe7c2EauYQiLBGZZYaS8fcksDjj+aJocwvgMOB7OS27AW3ZsYn9g2HhwddbW58CYfW8UOCGySIdfS5kWI9yKboP4hkMpGcOpCpsNYdS7uoA3Stn6ESbYfk0cPHHD0iF61kW2vccc0TQsfWx85ShCiKOLs43+cKG6hxtkHqyhZCpdB95+RyHannY81YwzJxodI1WtlS0H3NGtvri6WhunD+eRKObpVvf7qbebz77TBmwbN6UeCvnueZMzO0vIR5llIRdNvjCHdT9j59Ze49fvfoHd3D1HBZI9YAGN44Fue5oFHHqZLd4a2NbTrgAQZowTnxxVH44Oe/zVlCc39bS2IHN1aNq4bwzBf+6br5/m8wvo/HeYVsXmW53EYkeIDpsfYxLZro8rn6sumGOzQeXTUJChiKot2aevlN4dlHUexW9TsG78Zyd3JyIJCuiAp0xojK2CnurLU1hnQZDo2S0y1gMNHmKhmwTz96Of4XNSl1XFEVrBdJXIZZ1Fx86UKtDYuYR76ThKTugjxqohaVNJS+zIHWxffOIuEG7cMxEKSJERxG2kZV7ZxpqqiuFym1lu2NPJazU1cqwezmbZ6ZvVo8YcZMTOVjJaHnjHu3DZO7tVxN0aig82si1aNUUbtXGWSN6zJfNs9sMjlaMK+fpvbv/Y1bnzzbWcFYN06qCLZ68Ha5TNc/Oh7kQgGPNSxMU7/ncT5zRgzU17W49snzW+tZjK3odfOR9hYjq0y7HgTOR2Z9u6QIqqPuo+ThEljJpwsDE9j2rR7P9l9cjgYm9imWn0QddLmMxMOvnjEc4q0NgCyByviNxvZx8zsuDjX5koIn0bDn5ez3DLbLZUzLrTetglQb+tk1w7W1FSPB3IbcNIhpX8HjXkvIIXRbqZxy7WgCkYMauDsQ88Tr5+hZxQXISpL6APFBKjukGT2Kwa1lt7ZbyXa+Ay6+Sbby0+Rrj3mIyS78/Jey3LD+iLVVO89X0zzybbc6wUpMoAdpdEZuUGUal21PmvCfDeDo7SmDN+xa+Us12Mljf3Ym5UKMy7VJeKWuMSy/aU3ufPZF7lz5YZ7EyQT7mb9qqxurPPgdzwPp1foZmvjGEKAgU0aI8fttGUfBk5yjs7haN4/3Ks4senAjgizpl873mOsCfPct8wPJ8X0e2xia2uLfj+tbdJtNnSWV4tWJOV+Ts40tgbrJXHlfUWJ3FZ0AE6cmJFbk4UkpXkBDggIuBcxy3zQrAUrPFGdlnV5ZZU7kUHTbK5UWkvrdB75/j6yqH5NzN0hyOYu90/EuLlx7UEufPw/YvfmK2y1HobWCt6auXRrVXeKPmvb7PuyQHHkPTYT15FW2o3dfjSLo8qouicQU0rRc3Ut7uQQRIXe9h6bn/smN3//G3R3djG20LBnz9tapd1uce4D78E8dZFdTUky7f3U9QcEHA8M2liHPV9AwL2FqXxs+6YJyfULDRhyXKikjihXKJmtnqsi96EtT1RKpozINoDZdtJrKFT6TKFPbJ7DBcKiSG4OGuFdOUmY9Vk2aUV8vtiSY0V84YOcuvwEt9940adpgdMXHyI+8zSpZHNWFrU4K1tzs+NymzVjMrEhPvceTl14nA0gFSUCUi0EjVJpx3DkaXIGUrGMPUGRo2h6DJoexJvLHsUIU2/Z00xrx4RU/yw9yeH1+5+CFM82W8csdF+7yc3PfJk7b1xBU4tRMJkVlRYrnxhh48GLrHz0MdJIwBjqMScG1j/nFAzTrgdhvg2YFUFLG3DYmN3PfcY99D3+vk+Qx7boZAuVnYkoLiJnw6Va+1xGSv05SGUjIFrENhagtGfLTb6yck2+JXRlWGtRr/EF8pyLFXI8IhjBLIvySSV49yrCIhkwLhTv85h9Xtpg4/m/hCZ/kzvX3qBnW7Tf86PE7SVSCse1zMlApCA4TnaXMa8if7c6W1Ssd9PIJH1N6W/G1yCWyyiRrQY+P858NyrHreSZf8cvcxpk/pPGmGKu9muDVYuI8eMd8IRzaMtLpLh+zvAI1+XGUHkw6q2gujt7JL/9Jjd/7zW2b27mnjXWCytE8zjZILC6sc7Z73keOb0MxglPIhHUHt06FNbAgMPCqPU5rN0Bh4PZ5ryZ58zGgLwnH9NHRS6btgk0xYeqP6P6qVL6WXyZSaMzebPk9nn18kyp8ixo1P+/vXcLkiw7z0K/f+2dWVnVVdX3+/T0jGakGcmSbclIlmwZyRzbHAxh4ITjPMADcODBjw7ghQCCN4InAh6AIGzwgyMcHBxxIDhEHLDNkcNXsH2QJVvSjDXSjDQz3T3Tl+nqrltm7rX+87Aue+3b2jtzZ1ZlVa9vpjoz997rstf1vy9hIoMK93DAZLAlGMG8iExQRMSzCXu0jjYjNSxhIoCrn8L25/8Jhnd+C1/+FuND1z6DTGYQ0P62TTwjWabWnSmba01z+xRvlQutx03X/fXKlTWrr16bbrJpz/U10lwQKi5rDWVmHBwcYDKZYC0ZQBiBAacCg+EAlNhAWO3l2z6otJhVcneoDyEx+51Ol93bxQe/8yd48sfvQI0VoGBDj7nytAhAgARBDAe48MMfw+D6BR1VGzBH/7A71zhiNvjBo+JeHhERcRTof4Tqs71WddfY1jayz3wGktal79zwZEzzgLqIldotKhd1E7QEWxLlml7iYBCoZUmUF6GxjZtpRMQy0Wd+NTNx+o4AMUOwZm4lMWSSgM5exWD7f8OnX5pCiETnoUwcAWcOjJKfbDM0D+qlc+lnW3vq15ryO1LpszYnhJnbik6zY7rFQgiBzc1NvPn1b+LwV/8E6zJFmqY4uDzE5eevY+3DVzE4twGR6hMBiNrrV2Buy1teIHVuUSTAE4nDP7qD+7/xdew92AErBaEEhGa9XS7MxnpKECgR2PjQNQw/+QLUQICEBAFIrOVSS82Xuc+c5D3sJNc9IiLieJDHw5gPfQS60T5mJsa25pq3cxf8ZD1tq0te6qhKl5WT17h3WQbZWeTZfEpm0donTV9Tvn8akyM8CuRZw/iZhbisRW1ir66Bc9daBzWXczta9Nnvl8ns9xdShF/MBjFrR8NDTUcRdMlyyehTh77tHkp+UmlLwbBGovo7AZKlNh1mIFlLwIrBEqj3a/VgTJA1igtkvp7loj8dk6ALE2qy97RSbowXBJbGU9eoW+t9ZJEHMgqg2p8+O7h4lNfV3LxY1/XK1gXc2cnw5OApEkog7gt88K0n2PrqPQw/cgVrH7+BtQubQGKNwnNNeW6CbKyJzA1C0ZLJavALx9p5+5i18Fbv7+Lhb76GJ197F5PDCQABZtKmxyYClDB6ZFb6vGNOCKPRGoYvXoY4M4Qiq88nV3IIfY7kaBPenmTGMGTODxg3p4Y9+/jNr09uuy8K8zAH8/qa99//jnu8rC5Oatv0W/p67Ie8rJ305KC7KbLXSbkGNpcfK5+HKzO0TnNa9W/VGtbi4fPlXiF7hKNJpmxC86hvZiXsRaWPQeAEUBBe4Cm4egO6AZrMqJ0mZGGjpGIw2Pwkh89k65bL8iBqzQnbsYhFal5pFnt/zWiRtAUT50SkR+YW0rbW+hjokbY2We7GQmC2jFIdg2M1Wc3pw2ir+xLfjfK3keYYcB2KgM0nQQnoo2lhmSavVk7q1vSOPpdUZHQLDFfhFf28mojy/G7hacuwcTlGflFCHWJudTHK2yvMP1Sul81rWXEK8rV47fwmzly/gMNv3YXMdPUOsjHk5AOsPdrD1jcfQXz0BpJXL4HODpGkCdj0XeYEqZrxzB1nyEpd9S9mpExuL1MCkESQLCFIAIcSe3/0Lp78wbdx8OAJmAWS4QhS6hgR0ggZEiEAIdz6QgDS4QDPv3QbB7fPQ6ox0kECEKCYwBBQrAAIFIJTzIC2PrDnvZ5WNO01fcbmItprNYUGXep0dGPFp6P8z6PGaZ4fy8RJbbf2IRamutqFjeGyj6vZViWuUGfGNqvZFKnxRzsKzG2A4Pc1qk4K7t1vbUImjykvajA00cnBUdDrjD/UvVc7a+Xl3jJBjmtjO/6BOy8Kiq/yvVm6JlyCZxlQ1nlFVGHZv+4axmr6Oiy3tds3r+oDlSsUGhPNBYTWS6bSM77fbKnsOrTuS1xkwuvWwOa2Yegzds0vJ1W0C3tdXsvThDEDYmOArU+/iL17Ozh8MoaUWvAwxRRKSmTTDOMnB9h4/R6S589hbbQGgLR29NYWksEAQghME8Z4CEAQBAhpkkAQ6XNmQaBMGS24ApExQQdDvv8E+7/yJ3jv23eRZRKZlMikgj3N2GrPQYCUGUias2vBECRw9sw5nPnIDQxfuAIJ9tqI8/WOq0RHVwI/xAycdv/TVT6fd7VxPGtybYkrFutkleoSMR+69WFo3IXnwexWT8W01LCXLhurMte6n2Nb1giU0PdlgpHsrAbBEmwenVY4UKOek9TMrdvY808t1eYwgdoywET4dlkHY2vq6tsWwW91TTRP58aeaw7nSl1KW/4tWvrsdLZpxNGihxHT0SG30UW1tke3sOk1ljB89SrOPn0V8le/gcn+GAwFlZE29VUMJRXG+wcQ794HK+MOQwALAgkBkQgkgxS7WwQeJEgSgdH6OkYb69i7uoazl87j7PYmsD4ApwJ0qIBM4vD1u3j0+9/E47uPMMnsuxsrBtgmYpAzL9Z/CYBUJNhYX8eNV1/E+NULToNbOCpqJkFqRERERMRxo40xjYK1MLqbInORRauYdfTh1FvMfV2+zrTP37qLevcyc1tmVIpmKfp+yEKr7Z1kqN7WGLCQRfcB2e7bdFzSv+OfVEET7aA0ICwN474OCp6DOLMRfBSsDFZHkr1qWBVp32nALLK6+vkS0DYTPGeOedYgn9mqL9sfC4vcxP21nzxT4cFwgAuffhlyV+Lpb7+O8Xisj/wx2lJmBjJpgjFRfo24EDlXPNBZEoAxARPos2WfDgbY2Rpg/foFbF88j021hp077+PuvXvY299HpgDFieHzjfmy57aTgJAQIxFC14EZghnnb1/F6Ic+BDkywmdh9512hnaWdj1OQqpP2cteT1bF9C4iIuI0IdJBfTAzY+ufB1v4bEhnN2er2aw1XZoxQlOBqGJ94l9TnS3xUa6P91SYCGzTmAY3TuODXCKiujIxbSZgfTfV08hEtPkkM8P4nNWhet7jLGaQ1WA9DOWN1tPX2otCzhjUjfnTOE4BABIYPhiCeJnvV8rblMWlwALFsU3eul6y1GF2gkV3nfLYBfny1jxXsq1DyM2stn4Fewfm2jnXdzzoMVaMlE8EpMMEVz7zEtYe7ePBN76DyXgCZtbrhWRMocAQSKyPK1vBKvS6YXyPrfkvgZAQIBSgphPgYILd+/t4LN5BemYDT8djjLPMMLT6LGJwrpkVRjAmhMBAEIYE7d+spPbZvbKFc3/24+CtBEwZ3IG5tm/tnlPjYzGL0KDv2cR9sMpM43H6bEZERJxmNPNEq7wmrgo6M7aixMiWf4dgCSL3e5aNgAEXqsTZHPv3i5Emfb6xrvurxBKZGJMNCHK9BEpCJtTsNHY5tZMPWMfrhooomTD7WpN+msU+6QmNEbdWGSYAix0D9eOwuKDMvojkTG3eyEaH0iIEaROyRJwuJIcJbv7yDYhxm0PD6cKjH3mIx599CKBOLmgDMB2lObL9xkg2Bxj96Mu4NBTYef0d7D/Z06bIhlnPjJlPIkSe0PCNbDTNmhnWaltFAkoIJBBIFIEFgdMU+1OJw3EGRWT+TEUUkBBhYJliI5cVUoJlBgJBEDBYH+LC51/F2vl1TEmCREkL3sFKyAZ9ahIg5O1zMiMfr2q9IiIiIiKWh86MLcGLKEzF3200iJVAzwMucaltzGDFFBmAH9K5GrKfUY3x6eVX0fAWIVT4zTjnbYACwdbGMFFF0E5+QzL15Gvb+y2UWtdh3rQ9zX1bEOjN4F2tOQzn0AZfa8slRrXFNiAytc8i2DuO7FmBlvIEHuizNs0PZgUhgLVzG0h+/BVsvnQNT37jdTx47wFkljlNtFI6CJQQQjN90K/DVngJHelfskLGChkziBRSMQAGKaYksHd4CGU1vYkeAwkIa4MBhiRASoGzKSAVTGzjwt526SO3cPXjH4JMBEjYHazGvJuMxtYX+HqMbBetY9v9yEBGLBJxPEVERPRBZ8Y2cVrGfOP2f7fa83r3jRFUfhstx9rYTRjtLAcb/yNjIVZI35Si6XbOgpYf8DWuIS7bIwoY8P0vqdwK5eBcZQ69Ih3oyxnOzxjbgF0zpefgzxnLDxBhMEdPBSFADZHG2B84tbnbZDWadCqOan0rPzsZFVa3COu7F3hgbgSbhKsjvOaRfhVozdv/XbygVLMTfOgojv5mDWH0NgnqKUQ5uSAw12up3TxqsLohVLaThkyqsEIr38e2IMgiAiUCKQhpmkC9OsKNJ4z0j1LcefcOOJOOiVXMUIohkhTJMAUUOyYXzMimGaTSz7HZY0hJ8JjBwkRKJkKmJEgpDAcDJEYzK1UGyAykFARMcEMFF4pic2sTFz75IcgBIRMKEgpEstJabpli1tpiALwzxu6jx9hbB67fuA5mfYTQKo/C42J0uppg17kF+b/njUTdpdzAE1iMgPZo0aZI6JLe/75oU/G5Y3t0uL/odItEPCJpsWDuMj/7jLXl0j6rjplNkQEYcyjD3JGRrlPojLxyA/tBp6AJ6w590K2bOEgv1g6IJkIIlhUpPlB00a0GOan4pzGAUlRLgjFNrVTWOwcxYObcF0Xvz1nTspk4Dfdr277ICM4PO+7qS9DRRAMLAoq60bJZOjQpiVqBBzEAVRRCkPkz2puaqrpy0anNm8xSZxYlFFO3MK9hc0SCjsMaLGHOeoUZV/1Mu685gMrncaKT7+IzvPE0NU95floLIT9hO1Pb9IRZ0R3DkV8zJUFaRpIADAnjH7iIK5DY3X2CJ48ew1r8Klc3QjJcAyWEgyzD/mQCIQjJxhrUNIOcZoDSTLAWIGUgFkgGA6yPRtjb3wODMUwIa8MUe7u7gGIkAIhY+9lav2gGkkGKWx99GfT8BRwmEooYIH2EkFtfmKEPR9biZ54oDO8eYO+r7+D+m3ew+8EO0hcugP/3y0jXBlAEtBgeLQ19jtPrm/ci4DNi5XgMyyy/PW+Ftn32eNZJGxQt8ETPepWZ26PAspjaiNVGv/E1J/3dOtYAeOqUZxGdGVuLRg1JOFE40wXO+XkWkHkHJzd8FvKevTZFRW2AoD8+tL3VYlpivjq0MXD+dy7dY1f12uZlrgTdAXJNSrFWdRKzNi15y5mmAVVV2zu3kkGt0v9wAfMPRw4y3QSAKKxRYmbX2lbgtgrL+iLmaFMe7Qe4sxPKzbq+TeQE33j8DXzk7EcwSkedBWBdNVPaTbVoDltG8VqBs/X+rce8/W5ZXGe5Swysp8g+cx1Xn+xi73e+Cijp6sfMmE6n4PEhMgL2phNkJqM0TSEAUJpAZlK7u7BhTpMEydoaDlhisDHCAMCl89u4fuMqvvKVryKbTLX22L6LGcxMhKs3rmP70gV8sEaQpAxjCwhmEGsGV7AAFCM9yJDdfYLxV9/F+9+8i90nT6GYkSQC9/Z3cONwisFwDVBKy9OOe8JERERERCwAz/ZiPlPUklXSiKwKFDyCqPQ3D8gSNC0mOaveB35QkqNkwsvlhv7Kz/t51OWl2Jgg2j+wNksEtI8dyv1eZFTZaISb/hQITKL2T4H0H9f/ceDP2gjwvH+GcW36U9w8B9r+dNqyLYP355jawDOunnB1hvd5knH/8D5+/e6vAwD2s338yju/AskymIaZ8dbTt/AvvvYvkHEWfLaSFozfee938I/+4B/hV9/51ZkWMgbjV979FTydPm2tn1Iqn1dKub/y3KsgPAw6IJ9v1bliTIfdfFfaTzYFht97HdsXzuVCTCOMUaxweDiGkhKChBYCCG1iPJUSUyUhiSEJUMTgRCBdG+JgMsHeZAJJwLWb15AMB5hMMyTpQM95O/aF0GsLEdY21nH15nUoQZBC39f7hbagEqQDT9GTMcQfvoen/9dX8N3/83fw3f/vNTz94AkggQQC4tpZfN9f+NPY3NoGQBCzkQEREREREccGu9k10ZInm+ZZBLoHj6phav2jEvrAup7O44tSzWuxnbpcBlJrZ7VPcN6+lrE1F2pTLlMbtIh8l83MNuVvNVWzpnP3WKtH6vyj8pxz00UwGWUqW4tzUOGZXIdMLZGkw35T/Uydwq3SBYvRgc5zfEsvc0Sc7GX+/YP38Zv3fhNfuP4F7GV7+PW7v44vXP8CUtG8dO9n+/inf/RPWxnMJnz/xe/Hz37iZ/Hx8x+fKZ1ihS+9+yV87NzHsD3cbn6wZm4V8vFM04kIQpQZr6IQapF+dW7eI5/Tkhl8cYTLr97G7qMdyKmEnvR2DWCwVHopcOs2QInWnLKULlYWCcJUZsikBAngcHyIN995B5xJrN//AJSuAUNAZpkmUxhQpBlssMKjp0+xdW6EjAhEQpsqC0IqGcl7+5je2cHTr76LB9+9h4P9Q4AZAuZZEtj68A2c+/GP4czVC5DCxEroEeF+GfvQqgttF4VonhpxUnBcY3XZ5T4ra82zhplNkYFmv5LjwFGUf1TvaNvVMrdtcXL7Em/LQl3+iyozyJia+6GAq10CbthHKppd5KbI1reWmcHSyh+4kFNZXytQ7LOyf6hUKjCv2u0Awm3T7mPbDGtrPZ/AIIRFz62ieeuKE44dqsdgd+6y1SKGIFnil974JTy/+TzeP3h/5ioRCOfWzuGLN744c1pbfhcRSp3gyP/d7DetKs/XMbddUH7OCcXs/PdvDwTWPn4D5964gwfvvgc/JBwZgZgAaSsOmCyU0gxlkgCG8QUYWTY1Ak2CBLA/nkAAyA7HSIcDpMMhmAEpMxPUmCEB7I0P8PXXXsO5+/dw5Sxj+H03ICYZNu4cQH7zPTx8+x7u33sP08kUSrE5H1nXMRmkuPyJF3H+f/kYhuc2cchTSAqvlREREREREScNczG2R41laXQWwmyRR5+SU0Y4n79l0Q1dfOyeWTQ0fKcAD1x8tvJJJsKp09joIB2WifWjXVtjWAsJZYjNQqG6L5m1f6itO1f7WPvBNr9DaEQwU7NmhkO5Bovslr7mWQJQ75ycR5jOn5/JHhYgc1SW7ZdnhHhnZvz++7+Pt/fexl/78F/Dv/7Gv547n0N5iFEyKoxBxQp39u7g0fgRzgzO4PbmbSSUgIgwVVN8c+ebeHD4AK8/fh1SSTy/+TwSUQ065pvzhupQt8aVU5R/t3Z1cCiVgtqUMsuuncH5H3gJO/cfYTqZFh9kbQSWQAevU0r7u5LQ70FCm4gRM2yQJ6fFNYUqMCaTCTAYYDQcQkgBTDNj0aSZZ84Untx/hNFvvIaXHkpkh2Pce+cuHt5/gMl4AjaCD8vUCiKMzoxw/Qc+gvUfeRliY4ipkLp+xuCkMgVnQF/BVB/t+klH2xFLERHPOp7VtaEVbcflrbpQf8lYLcbW6w9/s2XPVLcuydzFLWDSaDraMj+mQlQXS7mufEAT3ydr8naZMsucVm17Pgc4ra4aWzYFFTS2VAyypLSKWPc/254MaW2r0SCLx0UgnwNUrquJrBqqeWA86+A1IUKq8ZapTJsgJXi7+rz9x0UQ9/L338MS9TPmy9TF5uF04f7hffzSG7+Ev/t9f7eX3+RETfDzr/08/sYrfwObg00AwFRN8V/f/q/4rXu/hQtrF3AoD3HjzA38lZf/CtaTdRxkB/jSnS/hW0++hf/27n/D/YP7uLZxDetivbaMJo0tkK/LXZjb2YYdlT7rcmajTS0KLAEAgiBeuYzNr1/B4zfu5LpjM0YJ2nRYIPe9h1JmLBpfWafR9SxDrBjM5JFlGVSaYLixjhQAKQZPpsjGE8gsAzPjyf0P8Prv/xGkyrC/vw9Wtq3sTDK+t1e28NyPfQrrH72GCUlkyOCfgX7c5E/7sTUREREREWU0UzdxPZ2Lsa1sRD1Vk+wR8Qy7QZfLqO8sIgqScG1sY//Q8h4jQzmRAsvs+swO5ddzJqdkRuflHWLQFlH3RcDWsaxVC+hiWucde/9Wb9qASBoF7R7gDr0I1re1bFeUdwyG1Xhaotu7zrnysW60OXKaigwiEZnjis0n2Gh0vOf9+hSq7kUiNmUXfdTLlWhhTAP39PgNtWqLtrjlASrMi1KGDBTNT0n/bxq80p9O4668dvHfw2tXd72p3i3zr/lWR1eC5ns7kx08Hj/Gnb07eDx+jLeevoVH40fYmezgO7vfwZnBGVwZXcEwGQIAxnKMX3j9F/AXX/iLuHXmFt7dezdYdgiSJb799NuYKq2VVKzwy9/+ZUgl8Q8+9Q+wnqwj4wz/6Tv/Cf/ujX+Hv/7KX8fWYAt/69W/hTefvomf+djP4PnN5wMr7+w++EUTZeU1vhEhkllp69ZSr/+Da4tfHhXl3jbdYGsd53/wZTy98xDZ3mHex05So10O7Jhn/56TLVlVrXfd1A+kfYz3xoc4yCZYGw6xsTbCxmiEUaYwPTxEdnAIJTPs7jzV701Cp80LAyXA2q2LuPYXPomNa5eQpfqItsqb99y7gcXvQ4tidLucJdtmNTBrXcpH/5XLC12rK38e5MkCgtAlChRCeeevXWyno3Rt6/Peq0BzlRESEi4Cfc4WbptDbQFSjytWy+LS1y2w1qKsRDPX5kU16a1gNFT2s83czhw8yqI8mUiEn29CbuIJrSEzzGHnIyZaDKlEh7zmX6wU7Pm0ti5uGLp//IHNFU7MizXiHnEfLUTHvGZcizBjdoQf10+yUJuHzo7mQgM03Rfebyo8q8AIeyGGwa6PDIHgdxAX34s9Dap+lGr6i7wRKgrMDHPuT53n4t/n2u+Va6wZcFWYDVR+uODDXckzOM4AQYHByM1MmkvVmD9X7lUYSiredecg1sm/YHVinv7cE0IQecfMoMpP++gp8mqTJeigPg2lfOXhV/Cr7/wq7h3cw2uPX8PPvfZz2M/28ZWHX8G/ff3f4tLoEv7qy38VN87cgGKF//L2f0EqUnzh+hdcHnZelonHWfF48hhfuvMl/OwnfhaPJ4/xGI8BAK+cewX/5rV/g7EcYz1d12bJIAgTqCiEOqKliYAq+027vvfe1AlDw4OtRQJTHQy+fEVBQRIhffkyBh+9hsP/+ZbhZak4jNkbW5RPDj0WySWpSKagwIb9ZgmwUphKiYPxBHuDITaG61jf2MQgGWJ6sA81OYRS0vj7E8D62B4aJNh++Rou/+QnMTq/iYwkpELR6KK87wTQZdz0IXyb4g70RSfXE+TBypponHnLXIhF2NyEd5h4WKYJuJ/3PO2xiszjquMkWz009fey3RQWEWSw5SnzWWVs5xHu+qSx6sC4PsuzaGGmyBxeR7vl4f+YIS+f/whnugxwTh27cew3hlexUzbSgk3bxOiE5RDNa0Gl0DopVr/uXszm0NbJdfcthxbQJxOKgYPKDB0XGfoq06AZaSE0V1BrdVF4niq3m+rWd1i3tXvvzcdZg1iRiP2dm20uA9bVoLF+gXs/fO2H8bmrn8MfP/pj/Ie3/gP+/if/Ph4cPsA/+6N/5rSmCWn/1Xv79/ALr/8CPn3l0/hXX/9XADQz+uUHX8a//Pq/xLm1c/ip538KF0YX5nqPN3bewLt77+LnX/v5CiN+e/N2MEJzHYgEhBAVab7t52oU5BUBAUwMSgXO/qkPYf+1u5D7k/pnGcaah0CJ0EdyQUApT3BTJ1WxfhBWcCgVpGDsS8I4IzwVU6wRYW1tCJEAfDjW5s7M2Ng8g/TaNuRL53D1T72CdH0AJnMs2TMuwW/CPFrZo0Q01Y54VrHq2vtjL/fYeJ7Vx2JMkYGK9mSWQXmy+4Frvpc1teV7/rXTwe0uWlI9T7kAjpSEW+h7Ung0VOYc5desBK8UL7b0uAARQyqbxusvAIKLzASJGcyPltzd80hWqxYE9joc0wBnYxHG3P3cZhlBNaahBhM5we50F0+nT3EoD/F48hg7kx0cykPsjHcwTafYHm4jpRTr6Tr+zvf+HWc6DAAPDh/ga4++hu85/z3YHGxiLVmb7x0AbA428cPXfhh/+xN/u8LEEsgx2NaNpM1CRpA+wsc/1gfINbaL0JwtA0wEJRhgwubNy1Cfuonsd99EKj07CTe+2F5CkibIMglGooPPmRlrR6GVfxTcEBTgVL9SAZxhygyVJFCJDll3dn0NKTHUNMP6+jq2Lp7F9p//fohL6xAJQUHVS/ZPx5azMKy6hjAytxERpw91FksRi8HigkcVzBqp1qyrDU0+MfZeuPii2Wb+/DIHS1mPVX5nzj+d9qZNJTljDQLmqn02w/DRMeYtqPnZNt+lecvWPrb1911re2OoL0PUhsWZm1mKuIteNDcxtdVVYM8fuC41e8OzpKVgIDH6yzpT5XlM12cSbDVo7vzfTXUpE3215XJJ2OGUYlaU0NznobLr3mMWcCAY2G+/99v4z9/5z7h/cB9vPHkDB9kBDrIDfPnhl/GP//Af4+r6VfzNV/8mnjvzHM6vncePXP+RQvp3dt/BH9z/A3zxxhcxEIOZ6lXG7c3beHjwEI8nj3F947q7PlVTvLP3Dm6euYkBDUAgbKQbOJSH4QyN6WySJI2m0qEAUkHf52XJCkmXq4wPBqWE65/9KL793QdI394tlO1PYTufmBkkgCRNoZRyQej8XUoAEAQoqfLzsK05EivtEqAYgyTBMEkhsykGJDBaX8f1525i8yM3Mbl2DkwSCpnJQIAr+9TqIjJxVcT2WB08i32x6lYN86ILjdqHjtUgVGKE9HKWi+iCuc+x9VHWkc1KV4RJy3Y0+XQcP6zUvq5F+lFgXZjD+YNPtOQNhP1k+zCubfe5RejB7BiZRY+FtiAKs5RXZ+pr7jTl7pWT/9lyFdASuLg43so8FXHuH062EOSEZijrPnzELIEv5iF6qybXXjvC06y1lNsF5fq11VWbltc/88XrX8Tnr30eX3v0NfzHt/4j/t4n/x4eHD7AP//jf45/+Ml/iPV0vTfD2hUb6QZ++kM/jV/8k1/ET3/op3Ft4xp2p7v499/697i9dRvPbz4PAEgowSfOfwJfuvMlXN+4jlEyajBTLp6DPltwkX5ClBA6BfQRMH6whM1z27jyY9+HB7/83zF8Ks1Vaw6gP5MkAUgfu8MskSYCSiTIpD6TmMEQrHMUQjPFScmOgFhrcFNiJAB4kiGbTEAk9DqXpnjnzh1c3xhg+L0XwZtGYOAYWlpZvrZOO981uFNERETEvGjbe/oztUCVzs+F6VFDuzwsRGNLoJK0vcxstO2rDFgC+kR1tmUD6rSwx/se8zC2nQl4W8YMdemKdqY6rB22pFwfre2yUaeZAqr6/1Iq+IGR2PvP3A7CD6HGNVJD94vtsSW5Rklrk0I1K83/0ns4ZrmpbqWx2sWs3e/X0DOlC6Vtpo2ttQGoyHMuCAg2KsIDFZwkocBVqUiRIsUwGSIRCUbJCGtiDSml+nuLafHmYBOfvfrZ1iBOXUBE+NzVz2FzsImfe+3nIJWEIIEfu/lj+NGbP+rKICL8+HM/jl/85i/in/zhP8FP3f4pfObKZxrzBOaZn2Y0LXFKB8cTeaufIFx74Sb4B1/B3v/7DXccF5lnGYBUEpQB62tDyMkUUk4hxEAzvNb6RCnD2DI4kyaomLfWMYMUA1KBSRqNN6CQIRMECQW1L6He/C4uv3cNw41zEAl5QipLwIVGe9ssjThurKbwPiIiImK1MBNjW15OC2ZUJWLdDwDCnulVfb4mfmlQgtJ0XW/I5bu+kaFPbjaZKs4Fj8bpprNu1tLOo79t8iOcF121TWUSqbcWrZR3qD9Ynw1VfL6QPmf2HKMxS/2C5rztGsM6X1ibqSAKMGMUHAP5WxF8XYw9+ojNP82zhEoaXS9aM5f7E0alq+0qCTBHHdXXT+gH8ulQMsesF0fkUNasGjVMMXMlmJBlhrowRbX9VbgWZLmdJ6RlakNvUi4rdO4wAJBanknS2eFZ/OUX/vLc6a3frAUR4RMXPoGPnP0I9uU+BmKAzXSzkm5rsIWf+ejP4On0KTbSjdq8C+K/eUxPWxe6OkFjx6wD44mIXKRjho56naYJrn3qw9h5+ynu/8k7bmwpaMEGS61lvXzpEtbXBvju23cwlQCLFCQE7HFxZLS3YCtOydsmP/nWE1CZ60pp02UG8HR3F/x7r+HSzU9hY2No8qsRxTQ2z7wMU1+bq7Z6BPKeo9iu422VGMiyMLRb3XJXFSqt/UDz+80zJ1dNeHzU6DtWjnOsLbvsRbvwLAq+K1cVRrQYuH9k0Vy4fsFunL/2/vJqND86VGoRa0lvja2V8yZQcMdwACBPI8TEAY2POf6AtS+QMsFHfI0bU7PJnqsFe99LtfOZ7krETZZFQtf645lrQogAfVTSirb2hy8V9zQWLjefRCCIgAmZ1gaUbffLpTUz0ZVzZ1U4gHjFfzfwrpr5bH5ABYLm1ORWZNjY1qWeubVH3jSzvs2g1sdn3OzNv45ltXPDMrf6h8u75cRl6KNqYIhhLrYD52PLb3r7VZYXcS4xLii2meR8/GiNrTfCOE9DDEAQEv/9qlVvBCP3D/YZe/vdX1PsUUxFBjPAzQOFxqDaNm4JH+W1W7WYGs1hYSlRzdOAAULScLM/+mwOO5MdJKS1xOU8R+kIo3TUkFI/k1CCc2vnApULa2zDpslmJDbt3t454ZVCQQj5N3WxABBuLCoTYpsxOLuGs597GdmjPTx49BisdN8rO05ZYWfnMS6/eBvbW2fwwZM96ADnCSAEIASICaz0cqDHvvGzLewvZE8W0qbNXr2g9D77xp23sX34CYwGg3x9ofztvVlTCN7fj5RYHAllyEnvd4B85LDITOdVpCXKZs6rxLz66FOvPMRJ3tv6aDmXe0vZPp1Sl3+f0ULen63LavZBxGIQEkAvf/4VKJeZyg7f7hZ4snketaWtY6p9Ci0gYO9Qq+PEUYjA5mNs7WZopMGCLNFoA9BUF6vmtdAMECIwEwRgtLu5b9/sHWUl6zkZW2v+6ZjKInOqTc70TxHoBf8t3WNtEn9bJ843nzJBb/ML0usVgp4rRHRbu+XMYokZrJnRFRm6X+mahxnNm6PVznVDd79F9v/mmD1tdQqZjgYzNU2hYEx6LWMohNdC4Wiwlljx47IR2bYkTRj77Z0Pcdg5VneOpV/NvFz/sdyk0e9yMs/psWwo5zqO2i7QDf2hBVfkorcW6oGcgPdpstKwb0F+xqlZVeBxysEsWteeFlPjVpKthYAEtOZ0TWizYyLSJshL2hn2pnt48+mb+LV3fw2fuvipCmO7DLT5WFZRuk/Fe63l1QkjOiIvV5nxb+xDhMDwxlnc+siHsPM//xjTgzEUA0x5WVIpnDt3Hru7B3i8swuC1uaChd6nSDO4AGmzYwWAVS6IIcOjGsZ2bX0EqTJMJ1M9EVlhX0o8vjDCaDiA1ejaWSvsvPEY2SJzuxouG2VyMbzNhElLLffLmVr7uQrvOQvq6tse68EXYdjPxbx3/za0zIYVMjVJqSIi5gf7C17j/RACaXtLBNvmb/M+tarCuFXC3Bpbe6wDASBiZ1JVlQ4GeT2DXIvqljuPuSS7q9ehpo8t8VqvoalmQIUwlrZYK70PU65+/k5IGmKGOa+Tz5x69IW7x6J549ZC+nK9S3UJoHDfSv89jqmVgQy9I5Em2BqgCtLkdhSr0u4XyXNxoB3qgdnWsXxd1amU4YMsvUv2AaeVLAuDitqF40TRz7T4ybCHl7B7l67txIbht0PCkznp7wSAQx6+YeR1Lc6NLvVre65NYquPdmmumOpAHD535jn8pRf+EgiEs8Oz+OkP/fTSgkY9Gj/Cr737a3hx60X8xHM/ceIYgKMGEUEpQAgCbw+RXDij28xNgLz3ZSbx1lvfwc7jHTDnBD0ZAaciBQgBkQhAAAkLIMvAUpolREu0rJDm8pVLuHDxPJ4c7uFROsbB4QSPzzI+/dmPYTBIAChTBwVmq/fkomAo9m9ERMQpRt9AphEnEwtibOE2XI0iQdfGXOb6FPPbmvBZPmtGscgsQWXKGlk/8m27rwlDcFHuWPu0odJtXtZvTxkqg/zH/HSqmYHMfa9cVSqEykzMbel3a9oQxW6Zz7pnzIDpupzU1jHEdJtOWMZy1arBq4PHASrLCnk+ogl8QUozY3usx2B4zHktfG0QM3S01uIK0KwWJaP5FPB1MLl/tNXYVoVBnSCM4TLn2i7tU5yzrY0MHIeZ23a+oDyhvTsMqITx+KU9iIw8Tr7yAriGW3iMPQDALXwIT3BQk19pLahUtpRrTVFbOIe/9sn/AwTChDJM8dRLXxyfleS+eX0LJhenwfthU+SWZ2cQqiwC5IY2QW4OCjd8saqSEnfevQvJCiABGLNmAWOKz9pfFgJQJCDSAdIkwfTwAKxYRy0nLWg9d+4sLly/iMHnbuPc2RRnRgIyA14CkA4APbq1Uwaz1o65nbnQOFycW6Yto0AjIiJiFdCP5mkRPHfIO/gMddH6RsyKRdC5nRlba0JrN0Z/yGgmSxYuFjUkLRX1TQasebO5pOXMzQOUDDHtl+ubm5WZ4srmbbVnhqEt++Aq1exAbvNIzCsoa9pcooYtM+bKds9QYXI40tGnhxs42yrjWMPUdqRPZvU1apGB6fyaAucwoEKarLayO0jglrXWzKqxdelcnbXZLQBtbgjAmiESMwQX/f+c6XqLgGYuhntG2PztGkBcFCJYzRMAKONvX01dn69yfeYzwARmQJqHZvLKdk1LxU6zAibzU8zdozka+wYMQpnB99KBIIcKb/+Z+6Zq/cz7mBnK+NyHgsLoT2CQUJAxz+tiXEw8xlVb6JTzrP88zdDtnO8X0ysbzsqg0ANmDdfx2Kz1gdGeKqmFDIbZVUohE4wpE9bW1qCyKSAzbe4BbZq/ffEsxGdvYXxtAEAiASMZCLcpMDGYJXzpsNUSu5XICtf8PfsZ6LOIiIiTgUX4wPc5sqfVarE/+RBEXI/nx0yMrevHEtPmTKUseTprh5ikNm8igEoMXeMQ4yLjW8ecthXtp207q7RQtJWy6x8QRHn0Z/dRU3P/nnfb97hkACJ0WCxK713zZHja6hS1ip5eGs+Sxq0G3Fq3ZrQ0Sa+827AwBtIxgLqhSZnAay0MyfHB9qknlPFQFD7ZwZM/FNo/GACHHNlRPXO3taqO6YIJz2TGuuE4bHMaBVmzMtmrY9P98ObnVaY2g5wDquvjWceaECKodfOZzjBT65eu38H57bk6nzxfxUUjj9WgP8TOof8TVmpKIJDbJ/Q/VBhdlIc4McTcRE4xFQJJmiJJBEgpKCWRDFJc+OhtyCvrAEknUXJuDcZ+yHpjaKFTcZEvR40/iX6nERERESHkvuazr23RRPlkYyHn2NrN24HDhFN9HvlASsiLRMwExbJxaDKjEOiyzlcxNLC1P7DRmpk/H0I0Ry7VEiVpytVMLZU0hnUTxJocl6MPcqnR2nzwCjoxKuqm26al32x1zGBr+mDwimaCXtN1hPkiMSHI2Vqt37J0tkX9zDzpi+QsFCBhTAy1+gbuLTwLglVYZGu3B667TmCoAjOrSsfa5IIwS3gHxlPZ5L4FjW4LnuCNvec40KNt/d3GcCtUA7rlmRvNcWiOz9LvFU0pF7XcHrNPqBEmlARciV8vZ0kgDBNULnqxWtq24FHhZ49vrqTv7+s4TiYgmh1nwq7NnPeJ9b+24RGJ2Z1fKwEwK4wnE6wnCZgZaSKwtjbA2voI6cYaMm+fs3OQYAPJAWT80iO/GhERERHxLGEGxtaLUGx3TNKS4tzbFsil1DOgQighN+cihlAhZoagKkyS/7surb1WvFcbwCeocfGOXWBDIjvKEU57W6eLYc7JElsT5etsTbCQxpYsq85LJRWUZjUcL5twmL5mNaejGRyKDgUOnksMLp+ZWiy/pNBbGAq9uQyCjn3N5OyokOB+pE7o3nCErzUVhJ1uefCmuqZj79++sMfp+GO/7luhwQsvpz0H3WMl/2A7X8xN/VEZT7UlzgX2BwXBEz7ZuVpegPKPcIuGWW591EgTw27Wh2Y/h7Cyt5KsuFbUMTRkQ+B67+dSl4or8LWmP/UYtQIXrrVu6cvctvmSF2M5HC/8ampBpRVO6Su2C80BdvqP7TnUDGnbnAGCckwwYPxuZYaMGawURCJAQq8H47cfQn38HJDqZ4VrEiourlQzkGsWSTfP3ZZY075z9us8QrnK0XJzmwwul6tfBYFjVyxaI1+M2E/B333yrsMyj46JlgtVdGnXZZ5VO39SMmmbM2gzNz5OzNtmqz4PjqJdZ2BsjYmT+eUCRwkBQdDnWJrN3DEvHpr5JDabObvfRKqwJ7FAbm9viFIyjB27vAnFjcz+rjajJfBsNGcyZbIhDvw+DTG2xJb/NKQK5eccggBmglQMJXX8YjIm0pYGAZT24bU/WRliSLem9KLBkpfeZkJF6rOAAiPhv4+lefRDheTe1hRkXNvmTZ0PLflflkoQLDFvJ/joOel9uQryvijOMDPHGJDSjFN3PJDuH5UPJHe+ZRMESscBzQLFgD2nWpCTubihTr5gy9bCep5Xa1UMdMQgVWaO/Hy6xDX30jrerSysyR/mchvnP5AzB3U9XTLdL69zJWsNWSq/7HoQHKkMiIQAX6BRiCWgILi5R/3gctoSxa7PZu0r1UWYd9frTPFYMt0kuWG1EDYvMxoXvAmG8msrallCs1ItSr91RGOlJJTzmQVAAqwYQiQgkhBK95ueTZwzw856IQPYMrdKM8GsU0ylhARjur+P6RvfxdUvj5D8qStAotcFBfiW7W7c1O2BFWEEkDcc54K0xtddIPpGLQ0Tpl3Pmpwdq87UWubyKBi1uraYt9x5mdqI5WDZ47x9fpfp+lnyDp1a3iaWPtnodw72yZ9jPc6xNYFwiAuXXeCmsjg7kFm1HcvH9HC+aRekgZZwo5IGyImem0uluu8+G9lUF/+OJdzZt3T08iVAJAAXzTHtpqNgmEDlaSIYmrFnAiHxMzOxb/K6tPoumu9Oh8D5J3lmcZavWMQi5lqk3GRc/LL0JWUZBSxwvnsWo+5CXZX1SLbcBRcCNvnmu4Wo4qU6143qcOWqdbCXc2YWZqya64V559XKTUvLaOYRof3rtQXaHzOY5NcJeyra4sKzXBia5aL85+s0SU1nLDMAiaLlwqzzi1WRMKXCoLHskScAKJTV9BY56tbd4sA0QgywY4SPP1hUM7F+dMxGefL65VtNtnnSTBorrNE/da8l0HOYGS7MmAIDiszZ8DqdPiaMwVICE0YGhfT338DVW5ug585oXW950vu1ZLh+rWu5crudFMKmtb+dlKN73IzThOOfJ+0ormknF8vUWD6rsIqm+QkvS3wEbj97y8Lx4ojauzNjW9D6md8FgrKs6SwQ3SHaNCegau+WTFzspzPjhAmc4aTeHZhac3/WY4Qa82t8udy0DLZGviTVSOvLZ+Va8wlnOoicIcifaZF0IffxsxbNlvcQBLAXgdf5/JbSt+Ufule5X6SXl7qPLWvu0BEvhLkIwJoGu4tzSBv7NPjiO6ueYWt/dpZ826Iq1t0r+wMXnteJOuWXs57N5XV5Kzvva9uAfH1Uk1jEluT/zVSD3MDAZ9Zwchigo4LrKyt5MlDMSITQQiAzBgSAJE2xubWFg/0DTCYTKKUFCIr1Ii0SYSxnjJaXAZYKajLFwwcPMXj0GBee2zqOV42IiIiIiFhJdGdsi7oObcxGhsk0TwBFzYx7mkKksQ3e5JXV4q9R0P5AS7d9rUuZ6K+SXwzPwK+xZl0RkowS4KI0W7MzNt8ZACsFFlTl9ZgKPniWuG0i1CvaJLLkUC649j+FTuQ9X3yHIONarWzl+bqIzTVKhcWDAwK6jlLTujFsbnRRIM6JBla1QRDghJmFC/VYpByhr3lbKFrvLGnanvfrGer3Nka2YHnA5VUQwRho/hx0CbyfbX0iGrXber0sRFGvrJH59CbK//KSw/1QtIIx6yU3H/MTAUiZISGBRBAgpRs/khUGpE+stuJXIuDChfM4f+ECxoeHeLLzBE+ePEGWZW6YbG2eQSISPNl5osep2SeVlMgE4WAyMS69nK/vHrr2TW1Ebi6P9OPT6vYyV+ZqMME4ZpePOoVE6YmZ8ol9FhER0RVzmSLbwDI6iIg5qkAFJPkta1Ll8dKF8m9LjFqGWEu6db38gLuFI0i8ylizMPMLXRfZ+rq3a54IDEpE0d+OCMQKJIyfrWVi2aZArmpFN+1T2a9WUf0ZvGTyLrSOJdrJf6hJjV4m+Itf3U+ydTtZFh8h4cFxONXb+ohQ2RS2P+hjCVV+51naYR5GdtbnQ0RUnTCos1kYN59h3S35HCp+8j642tb2u6Dca7q5P4rpis9U7/nMKumogJ5Rq22IIzZbOEFgpQDFSElAQOZR5wmgxETdZ+2rPlgb4PrHP4Rka4TRzh7WH61jeC/Bg4cPkUkdqGs6HuPG7Rdw+eIlvP/++9g/2IdSCiohHLy4he0P3wBLBljq/WQGYcNsZqqr2+etZ00eXVUiDOqsy+w6zAwIka8lkWGNiIhYNLqfY1v4rologTweshB9TJG7a8GqG5nxv2Xl6mSDKNeGy7HaB/O9D+oI/vJ9J3G0v909oyVloc/SZIZS2mfORlK1tbd5hLRL5fKtVhhUZutzJscyp26boeJzjeWUZQElepng+YvWaRqPCQUtVAMqWo9iBksl74J5e6brM6d1CL172xFdi9XSLjJtiHn2I0/Pgz7HO4kFj5Yi45mvvTYwlN+/1TYp9q/gUl6FvP1UQL5Gk7FYeDZ9FssoC02yTEJOM1AyRJIkkJmCIoYCOcbTas63r10E/cgLmG4QiCWG93bx3DfOIfv9KT744DEUgGwywXt37+KVV17Ftds38JTHuLsxBg8FznzkGjbW1wGl9z3FOoBVXd90ES6dVB/AkBWTdY86oa8WERERETEHZmBsqfLbklNEOdk7jynyrOxOmWmGOSrBWc65f1DxKrP1WQbaNFta7p3/tscDseZs9SatdLRbZvs5X10cU1sSttf601Zp4LAwImBXXMi7RlM7e28vFq1mr0dUj7qS+47L4LtxWChylFqZRWtsQ+ijZQ8Rza1pYVeleVFj3l8XBKvEmOaXm38TAKs0aQ4Ctax4sqcXUuqoyIwMIk2Rx05gtycRCSQJ4czHbyI7kwBCRz9ObmxjbbCO7dffwc7ODgQJgATGh2PcffIQ13/ssxicFXieGAoSkhmZzLzSc/P702a+GXqP0PzWlkj919WIiIiIiJODzoxtUlLnaeKI9B8AphAhFNpc5mdqC8n9YyyQn89aI6susmF1WtuSf1FToJ5ZfQPLJKNwPrRajJ+QDjajTZOBjOx5seVjC9p3amu26o6BsRwlaaKWqcE+mPIvzTR9VWVb1vIQlKcK5vw55AF1cl12swK4CU3EG5UzK9fcl3rkubm6tfln5ybidQVRIUHTjKjIBGxXLFGz2SZQIHhtautSGCL+YUS5Tp5cFLkmxrlqEEildgr1eG13zQAhGKw4F97U+U03oWVpKr8Zld5JqJaq55WqyVtbnpSjLtt+ZGhtYH4AFAqdrIWN3kpXZmzRMGYYZk30x7jVevvvU5opnlCRTd7WL1eZPJbNaGntnFnT2auhHW7liIdzom5Y6PmjtaesFJBl5sArWxdzpBIxRuc3sfE9NwBIs/3oPUYiw9poqI9TYgKRwNmz21h/+Rqy7QSUSAAKiqVex0EAaxcXcoJM7ZIihCgJZbhU2br9JLCu2WtmD6n64NaNZX2dW4VqzegyZkKMvO6XuYufG0ehAT9Jgou8j/y2KY/PbgKZWQMC+uiTdxccZ5+E6r7sevVptxCdyeEHWrmH8hF7R4VVP0v2tKMzY2u1iwTd4DYgktm6GjY8uGeaYQgg6r755fyS/SYaWD+uoVtLRDZpAiK/zQUK1foTF8trHnRl35LqA157wZ57y+55AQZIgYmRCoJkZQhDgk9A5If1NJQN5BoDj7nNaZqa+jd0lP8aZe2QJWIBTU8KIggwiCWYFHQL5mcEg8mdqcqmLgp5/dzHHOuCHZshC3M/grZ9OdvDJHK2wWZYFo2UicWC3zS02aH3FpX6BSreXOkFoNUMm90/xv+bnfCKiOFrfPUoNP/aw5wdXesTuRqCakZraUzZfEvikto+mAUMVU/DFyrSkH+Dj3qesk7klRP4AxEaxpYp0WXUBX+zwflsrvkQMQIv0nUQ9i04t6KBjUNgGV9jA+vWb++V3dcC81szjr3yK29GNpAfgRSgJCMVCRRLKEiwaUsB0Wuskwhv+IKpYqXimFwXBCuQfxdGyn/eFqUYcjoFwBBQGCodNJDYHsqkNGdLhLVXL2Pt4ggTynRqElqIkQiIJAGBkRj+/HBvH+cFQ6oxSDHY7A0K0KbH0G3Ksrh/FjWZXBJWmMz9t/BuVduEvffWgiK/MZiSaiIsfUnzymnYi93YL14vM8In1Qx7eVhcxzXRTPZorHycdhN+9e2rZcfJmBd9rIOAvF1C7b2K7x06p5aBPOxMwxOtTXaMr9ynP/v21Sr29VGiuylyxVQtB/vS8ab0gREW1vZ2AyHXrHbt067+SF3ymeU6kLeXIz04N1cT0ObJZD38pKxM8DITUF8GFTW2Ng0j1/B0Qg357hPBjvjOj7vImR9rkmm5VoKylSLkBHGhlICGn7mWBiOTN7EWc9TDMkpedpYRJqPFEuHxUGRki8yi6iAcnFXL3xXBcl1gsCJDX0zvn+dqN0E9fuq0e0TeZx3jyPmDAuGhVk7ujBjsvR6LQ1HL2PhU4x0hmlMzTOTyWlBN9PDyfaG1ya71vbFEJaFc2cKClVkzzBpBnme7L6RA3pcE9uZq27oXqDyV1yI98ImA6e4UB2/u4d3vvovh2hpu3X4O4oYA1oA0TZ1if94tnyo1L9e5iFpB6yI3fSLX3jZKv/2dQK99Nn6CIkCkKS6/dAtS6KZI9KMgIqihQLo+1GbIrN9VZhJvvfkmPvyDN1G0KSG33lmGICx4rQrkioyvzrNtnpZbUxevUPZGt4I0Xa9Apn7mTbeaTI05/N5WRl010ni2Gdpu4395hLHut27PnhYCvQvDHhrnpxsNbePolsbbx8q4ripOy5zpg5miIoeZ2x7SiQbdx6KwLGZiGXB1MQRTkmiCQRnfWw1raJ0TE9WjaZBrqmpo1kWsCbbEgokkczFvIk2oOYJP5BJ/8j/y+NRt9arjo4hybVWY9C0R9F4mWqFSbMeKtN//XuKatNZMZ8gubemB0DBf0jCsLbLGhNvXZJDRBlnj8fogSv5mXKq8RzSHmZG6/sqtJKg1dRhEotfaElobFHMwUnV5fFQz14IV55HgVdMoWIsX8mSwbAaZthJc0tCVBGdE3hmrvtCgmr3LoanyDCOMtIpApbWzk29P8fjXH+Ppd59AjAWUkLi3/h62P7eJ7c+fgRC6PxTNP9RD44GN9M+3sFluuLcilNJt60fDFoJAkqCkAlKBrWsXkb50GZn1OzFDhBhQ20Mk5zcgEgFInSdBCwS0hZTPwMEtlgQywuHm/vKFHTq9zxDafX3OF2dG1RWBcuY2lHTOIgslBSteFJKefiYhIiIi4tnGzBpboChd0sSDNStpTh/aULRVc/cNp81sw69fWwRP//6sm94izTsK7WmYNGVEzkkiQMQQDI+5FRV2w6+/AoMoQNJz9V7Xd/GPFmKTzjJ1ebl6TGgC3XDZHs8OGNKciloINnVrhNf3ft/Vm2zWJQ/drH3bUFUKdzXpSS5VztjYa1WV7lEIVeo0LRVNNHK/bNuuTljAAvCMrCv551KMmpJzDX5j/WrawO9X6/YwD5ZJyJbbdbbzNrXAAIYpARfXz4Sgo7vnqUuFEwBR6Cv/ntWS2+uiNE9EmQ3yNHjcwoxIvyhmiDFh/7f2cecP7mK6NwEpHZOBM4Xx/gG++rvfwoduP48XX/pQrilc0rCn0vqwzP4vtBMRpJLapNjMeQaQJomx5GAMBgNsft9tyPUEzBLlGcgMDAwTy4oNw0rY2NiAIAFF0j1bFgf6fusVs0Sy+3NoLevTIUcnPCiUWrGmqQolw64kEUeNoha9aEXQtNcueo88ThPRiIiTjK5z57jnyVzn2AI1TJS+OldeSgG+j+28fhZ1hMws5sa117nlfg/U+eP6xKUQBGZjDkoEqTRn67SiPtNUYrJ9opao2mazLO6NJjLlvMxmpZiNhijfwCwZZjc2x+QyQBC5ybQh5sAeI+jRwc5M1X9Xj7gXHD6iJdyHWgUVZowLvwpkk2JD0Bu/3XyrNpWua/IyrzMngkmpXpdT9pWGGy8eUwlNopf9luvav1gbS2Wj8t5t87EslDruRbIr2gjt6vNA3jjV8RFMT6LYf37RrNeLXMhjhRTFfm0aNRVBCBdGsVlQ9FxL3gUOfmsf916/h2w80Qyz6XMbqf7CuXM4f/YcEhLu6Jtl8EJlIdc8gsq5ywYwzbJ8uJNev5RU5uifDBtnzuDci9eRMYNUzoxaDS8RQaQJkiRBlmWuwbd4UJl/uZUM68BRfl3K+6AnTwvtnZ3es1ZYkDPax4laAZn3b11QrcjoLhd1JvFlU+SQafJJWfsjIiJWB70YW9/0rRy8qfnZyt3KtjiLJnSp0ceOfdMzWk/NySFJdLAepRQUF1u8zKRofQ57DGOBhC5zaEeKAptFNVed+agxUvd9qCqZFY0TqWR6Vi0bgXe3DGgD8RdMa3yjyWrg8t4DNONRNjctl9xrtM2YuOBraQQF7F83jJEAucBxLm3N78ZWMUIZnzBvY2x9BiqYdwcskzBq67M68t9Hhb/z/XkZANcHQmNA+4KT8OZ2PuZAOiidL9wSJeuGYKy+kiDEWh8QdEAkMKAOGZPXxnjyW4/xwZ1HUFJikKbazcCr82CY4uYXb+PSpYuwLLMCwLy8fnGvAXKCtdKNBRZi2oqhz5Q1EkfdHwRWCmmaYmNzE9svXIe4ehaCD4xli9XZ5zVUt7eRpimyceauDS+f1Sr8wJsWhX/tGutKcKne8NdoZwzu9UEDFtAXzb6Jzc/XMbeRiYqIiIhoxklZIzsztnWa0IoWcK4NMpc8h/JuycIknL30sGlqM5NzNKj6MCaWwDGEb/6kt0Gbf4UlnDwCKk+wHK/mvAYt2ir7PKESF8fW2VnSlfvIZ5LgafS0wrWHxpbQdiRIOAgaaVNxbzzmJJ6NjroEWK1418zJEp+ePoOoyKwSOXNVgeI9ez/PjtyxM7o+/pjVAY583+VWxrZEaPZZTNvTzn8UCXPYyJpLeVe6x28T9493OyCkYZO/H/k1H7q++bdxbfC6kNAWvKXKjLg1WQLT74xx8JsHePjWQ0wPx87H1nH6RjIhUoHzn9nG5ZcuaUsTUrouvRR83UUduamwbYne4qP62pCAOMyA3Yk+Sg3FP5VJYEQYfeJ5c8yaXbN0XZRZAxmAWBtgkKY4ZNNfRBgOBhAkrNttrYLU/1l2a2k68mIRDJ079quYs7e+uJjztekVIw+ytuD922viwrOzuCpFHD36HtkTERHxbGNuxhbwNgoUT7msz6DphpV4F4lqZ0KHdoLE1cLagHnPV/3F6piupnq3+CW5utc8Q+0kVDvzrgmCnAjS9UwTAcWAUjnhrBlbZZpBk7zs2i8nQGx1i6ayrrVa6uPXq9yShjt11LXWJlkzOVuHcutrIjfvOwaBWMIS52VwicnySSatLAlTSGzrWXszcK9QVoCYMvnnXavro2lUP13d2JrdJ9DVyUUgMtcrnJLXLgwIUlojSKT9JL2E9j9h8/HmYm0dyrIA1wfsyqu/771EoZ4lPrqFjgmKKoJyin6Mjk7dkJ5hjrvyKwNIKZFlGYbDoWkh4QQLbLR9+lkFQDauVE4YYYujnI3Qt+yRPsWxl4/hSqc4Pru4HhMUGFIqqPuM8dcO8f6X38fBoz2w1VDa/M1xQ8z6aBv6HuDs586BhgkYek5X4z/PihlS1jB/vdha9656qrk5w4x0X4J2pxDQzJpjpc3aRueHGG8x1rMxKNXMsDYj9tY5BoRIMRisAdjVYzcBBgMTPErpt8j7uRg1lLw66nra+S6QH7lWZWht1GYt/CAjxJihXQrrnWkfUzsCBXucTf28pvReprQOzAGvlXIBoH+fij78/p5aqGfU6i4U9rif0tXa546yzed1g7Np57UgPAqT+GWU0f/4JaCNtm+0vAimPNlYqiXqkvOdpe7LOrVgYRrbciiMWVAhmTnfYDVPl+sb6wg9gjKElWGNHCPI0Mdi5BtXRQlbpgZKCHcSw98HCxomS6Q2NEs3qWRRmkzeF33OaPXsQvtHSKAoN8Vjs0LkQZ8I7Pm2KvZZz1J5lbdG6Zkio2KPGfKDipE7R7HmvdlPWSq9VAnh/Zs/yu7RXoudI6bCY7nurm0BqyV3F2GFDjaQlrnG1fTsHJAbCqhhowh23CuUz5qtaFk9psf2GxnSMzWMjjDjzh5zU7YYcNUpvECd3tKndCvJC/fzI2nM41R8pny/gkCbUc46NiAszAhBsTuBuaZOdfw6QyTA3XfvABlha20biUixNhphMBpCjGygIQKR0MxhMQMnE8i9uH0BVs7ECu+8V18A568hefvmzBVBnwWb2DN2SWscx98dY+dXn+Dx3ceQkwxCwWOECaz0HCcGIAiDi2u4/COXMTx/BpK11p6J9ZpUOx5mQfcZ7g+NkCvALCD3Z47yMUIl5vxgM7cuMiAS4OYnbmP93AYSu/+wKB1zR1BKr9drayO39yWJgBAEJaVmET0BhU1cu5WUzMmtWlSpaiPouazXDiHygGQ6G8v8NjVGdZ32H1XcYhHBub83Fwpq3jvLdW82RWb4Q62yepKZG4aWsT64Nq3/eZLQnzBsnqCLYWTsmPD2ADM56zToBVekEt25SOK9b14ncawsG92UNw1pW55wceDnpLFXHccZ5KyVBg6tuTOU7Qei7VJuVywkeFRfhAJaWClyefTm1qfeMQdU+GXuF9OWiwoFUbFMWeOeXkpJhiHX5ObypYx1Jp15ICeCtfNl2OvkFDHKmAQyYI4cYUfmdkJZ0FFhSS2L6X1a6VxL09SLMPwHmiP0Lgaz596Loe5YgD8Wc2INzuSuau5bXTDyT3ifmpEljxmyBN68gXhWBa092ZPB6pycgCRJQUS4duUavvVLbyF7T4FIYOPMBjYvbGH9lQ2IFwfARaHHuGWcPQ14zhSyn7WbWvZc6AJz4j3JMOcSe+sBubnpFlXX35OdMT74wx08/O8f4OCDA50LG5Ga0dAKI5AhAJQIiGGKKz90GVs3z+nIznoZ0kzy8pfFI4ONes7MYKW1nsIxZHrCMhFG585g8+M3kQyHUFBg0tpTLsxRLYBhpTAcDFzfJUmi/WtZOV4vOBMbHhBCM8663u4N3HvY/laKDTOdeM8ss9OaBJ5+uado0ET0QplwPmqNbsQKolm2vHxPwjj0emHlGNujgH5pI0WuaIz0p+N5HcVvwg55pnQFDWOp4VRASVZOW6lf5XFymdlt+ajHvWNMDBVkrWst3Wq1FppJ8rRATmPTXmNCeADWiCFQIFRaaaXwalQaCcFnZ8fqrlRWcFFmWgjWnDi8QNT5rLr5QyjkG7F42EV848wGzt88h6ff3gWzxJO9p9h9sIe1746weW0bo+9dR/KywNp2CpDKGSiPAaDComdgGeCSqTeXvkkAifldtL639wnTicLTbz/B7q/v4fG7jyGnGQTyiLLKWKM4DaUnHLv8iUs4++lzUEkCJmVMczlnbGmVZ9mMIH0c23S6DyklSGh/c8e4EmP9w9eQbI3Agp2pKxeiqcEodxlqY4DB1rrZRhjp2hD83Fm0tViddqM4CrSfe5IkYFYVQZX/kz3BRhOnvNh1wq9pudxTM1IiapCPszrhRhV1GtuZ3XfiHncq0NaLLZ5lvXAyxfyrh2XNxZVgbNu4du062qTVBZBowh6kj6DgEnNbNEer5tNHYuD75NSZcC0T4cAZHoFVfmcCSBajUeuTSqH948xDTfm7ADClPPOv5H2WSa6uus2u7XeyNqk2E7c6k393D/kYc3/Q7ZyAg0GzmvLUpoe2FblaZsCaou2Z046QyVwdrFBCJAJXbl3GwWCMyeEUSklIKEi5j+ztDKMHI2x/Ywvrn9pC+uE1ZMMMEtr2l80Z0QkEEjO3XbA15OdJg+25uDV2GIbRJGgzWq2dN8yzYozfzfDkdw7w8OuPoCYSLAGCABTr81SdybxeX5SxUhGCsH3zLM5+YRtKMKSSgMglh0xcCHB1GqB9mQWm7+5AZtIp0217D0ZDbH34hiHbFSCMeKLg0Gy/Eng9RXpmBCItREgHKYajIQ6N+SbXUWuOMc4tOGz2vnKWIKCPM7PMQO4mQqT3MrsX232tSdhV53N6XAzDs7r+PKuIjGkRuV98nAeLQqe2JPfPyqHMU/lYJQXGsuqyoON+5kddB8wabVmpfDPX3rg580Q1+c2KkD15XX1nWWTmbcNQOkvcWiKnDoJyBpS9NAo6eq9w5omVnHXaTjb4ZcPwPI8wQve9s3AXjm5S496lzDE2yt/tn7VlMGKMmfN0+VCVUG1KV36HZ3VTnXXu2ueVUhi9MsLlF6/gzut3wNIwGVJhOp5ATTNMD8eYPDrE+dfOY/2FdagPMSZDien6xKzaZpWzbV/WvCpjfmoFWyVVnjLznwFIpc9aPdw7wM5/f4qd33uCyYPM1NX3yxVwUhDHQZlZQ8Da+houffYKkvNDo5m1Y0IZz4g6veLJhtZSM9TDfbBSLioyoP3V15+/jDMvXgUEQbGEIpi4Bn4cAtukemEbGFNky9hOsww0yrdqu7IW4Ck82fy2TLZvsuP2RvIPGioKG+sEzeV1w94vuyz0hXN96PDsovfYZ3UdO06sCoEdEeEjrgXzoc98XmR7r4TGtg3lYzOKN7V9Gxupcx4shj3aa/7Gtj6zDTed+Z1lL3KCoz6q71GBoLWwOhCNJYTYfZIw1whQIMCcjQsGoHyW14IdQ+neMNisDD/SdbFmi2iX02lk0mRCrJlPshcK2loBc94sBXS2eVKdyn36R8OEtfQWbX5Oz+qGEBQ2GWbBbphyoHD2x85ivD/Bw7cfQmYZAIaSADFjOgGePtrB/tM9DN4YYLg+xNrGCLhJSEYJJuenOLygsDZagxoxaE37YwohIBIBsD6CRyoJaeZ1SfymLTSIMJ1M8fi1R9j/3T2M3xyDMwZZzawwz9lUSQJBws1i+06DNMH67TPglxJwas5ydkwcHJPbRax1kqCDRymn7cx3AkI6GODyqy9ArA3AkEZjXT1b3O0dpPuDbmxDJAkkK8j1VAsvuq5L5eXV8rFly49SLzDb+MWMimNajVDLF+r2Z05CAkWB0zViIiIWi2d1v21Dr3Wpg/Yktnoz2pSBy8bKMbb1L66CDcWszSmZGIJy9g1k9uie+2K4k4osIHn/srbtmznfvrCaHHAe5ZY9xhQgsPDqTFrjB1ZgxRBUJVbYBKIizKotrdPYhtCmNSW0MsdtRSyh2ftOV92uZX/wPGP71k4TA923+txeo0UP8bUlE3nLGJvB4gkrzNgNLEBtfk6rJIVfFUbK+aA6H2lAXCVc+MnzkP93hkfvPAIrBqCgWABSIlMKrBSywwkOnu5qAcR3TP8QwIlAmiTItjJgE1hbH2E4WsPuhV2MLo+wfWkLYltgtD4CiXxsMRFIEGSmcPj2BI//x2M8fP0RsKuZ43SQggcCpBhSKS3rYuUi6iYJACGcIGw9SXHxlcs4+79ugTYZMrHaxwbZVhsWMZmOAGQYzlphFIC1jRHWX71htNo1rKk3v20QLwUGP7+NK594EQ/2djD91HWjrZ3tvOWQbpxgF4u8RoK0MELU1LROQLuwOe6rlefIstvpAhGnBcuyvltlnG7G1dkLzp3DUnqULPPQjNPcK32wCnNsYcf9LAw1jWKPU/DLBiyhbyTNXDyLE4Azx/WPHAgF1fEl0bP4yhYf8aXZ4XRCWIbFMsLFBIL6bNxs6mXfp7gAsK2f0+QxBBstLwGqEIDGr5nx5Au1C2sdYrWyXcZLCzVMDJAMlF1bspfesYj1iVugl+Hm53xNDDfw3/WEMINK72WJZs2EmmMxnEmh1dbmpsTl459APsPqCnK/XS3IbzP2H6t5s1J+sFqb6nvWgsPtV75vI/yG+qataBVImxzhIkzFRgMGEsPnCWd/cgvyP0vs3N0BKxuJXR/NwkoL9RIiGLtiWOsJJokpJuCnunX2aIo9PAUDkMkY++tPQBcFhlcGGL00wOjmOjY3z4L2B6Bvpdh5fwf3v/EIO4+fQint06mnlwST1P6zXnWhoP1JMwUgAxEwFAlwiTH6M2sYbAEsFFizZ4C1AHENYMdWkamqtFOPbUWBwMHQy/Peg2FQvUfZ6hMJvD7wBFNaK7v94eug7SGkYDDXHKXmvycDzAoqAQ7PENZ+8lU8Z458mpLUQbjKNS1LwQiFuGEE+5uKwarsXYLpIwYEIyGCUnbf4tb9CyhqbOfS4lrGvrQquHWUJayDUaX+Vowc2ooCvmZuD/RzpTxA3+lmKI4TOV1xHOjar/MEpQorYOZ/35M6FrvPoxrhGVBYM+eswFw5tLHa7P3bXHRzDsfZn3WuJj7fMwtj2uSy0pZH3fsvcs09fh9bwJhaBZ4o3XQbD+zgy4lxveFz46isq7ffmP6m1qS9KjLW7p+Zwd6mTjUMVzvD0Hyz9g7l5ZbztQwtGb88Wy+vNsWsmmZ+gdhqqluzdL59XDMoQPkKW7d50WNIW9mjzaauGl0FEUDe/0RayJGUCAJhGD79jA0d5JXllZkXazs3HwQumK7/8svi92oapjK//O9kNUYzjvXgjeJDxyFgZDAUaT/WjRdHwJ8/h/S/pHh8ZwdKGqaS9bEwOsI5IbE9ZDXsdmk0/9hrBIaQAKYKeKowfmuK6ZcTPNx+hPPnM5wfXcY79+7ig52nmEgFhaTYDobiZ5jox7ACBoBIYCAIacIQgjAYClz4kfPYvrIOpaYg0qa5Nq9Cz7plObB3NC/dXRu2XGpntAtIvAc5J34IAN8+i8FwDdPDMZgZg7UBtl+6CpkqI1gxdQoRWkZ2gQRAYkVNVpSmXPraupp9qCCwctPGP6m4lIwIzApEXNoX8omqed/6PVDfr+bs75+tz9bUq/6J8lvnQp554IvPfCyCwJqHsHsWUGyW5Sy889KlfZnPZWmqZqnTUWvLuozz8DMB5s/d7c/czow2U+SeliKrNP+Psi5lwWHIpa0PVsIUWTO3zfepgRhoul58qESwl8sObMp1ko1FIkQsmCstOfSrj1+cfV+l9BmxOrq0q6g5c7ErfBavUKK5G5pIbZOMg4xxqzI5r8byMeN6oWnTvHLF4E7kMbZWOJCbExPqx7mLUM2oNoxXP9EmogzVe5axUR5L3DAa/HYIld295JUDEQChA/BsvLiB0U+t49yvn8O9t97Dwe5ergEDQ7EJ/OP5t5qbTuvmrycZMRJBEJ5DZ/J4hMf7+3hPvYnDTEIyQXKKfGjoeZuzsiaoMYBUCKwlqfHn1mfsslQYfGyACx87B5EKsNRaycK6Mke79Nlm2ZrpLAvkfzJgfJHPXNjGlY/exr2vvYnpdIrRxW3wi+ehz5/VzGOXxmjeBwNrXpdKl5LXBWysIzLm0W4dJXFttcvzoU+bRkRERESsIhbC2Pbm+ENMbc3tiiQ45A+I+ba9Js1uxZ9wjrzLeTZBl9V8T6fvWYFSfkIIQKki80lUKaiRKSdbqXrVrb0aHDOt/Hxzr7ZYrbaXjfkJM1/hZX836RrqUpdNbsuMrSgZWRcjldZFoHY5d3qnI6HxymOps8li40Q4mbQpaW0osTm+J00xuCUw+qkR1v5wiHd/+108efzYHN2jkyhigJUzTbfyIxth1/r8MxgSjIwJAoyEjGvAYIgDVtiXmXPTsJIRhrZBJZOpgF4LUqFH3YAIQmXgTBpmTWH9+XXc/uJzGAwTKJaghMA6AhL8cRyykqnT5s2vccnbdhmom99KSSQkoLYHGP25jyG7KCG/9QBbH38R2BwCArAuAkFxXgcJ7TLHeR8J+nEFk+vH1GqBEXtjtUt8gYiTg3mELavgHxhxsrCq8UVWEXUC1WXg2DW2bXuT1Sb423qzHbc194JjBmz6UAM2+uC0mKbYLXEurURAYu422Dny7YqQOTYJAWE0aU0a7XaU2Tufue1p7lPSfhR9F8O8kloy0VLQisyT3hsD9igNna/VulTnQd6+1RKLzG89sUlAoaxlozz2/LOg63A6CU0tsmOyzKgCBIG3Mgw/Q7gtbuKNXzvE4f4hADNnGJA2pbFRZ2GOjSEdCVlmGaR5zgbRIygdXExJjGWmyzNm7oKVKd+OA8IwSZDAaGuVAqRmepViHbBMMNY3RrjxuesYnR8gI+vFbM3pA5q+GhOvNu3hqsCdDWvlqWQPzzG+8BtDvPT5T2LymTEGw4E+s9a9m/UTbX6v0Cjv3RreElwRSgpCmbMu70dBX1WuP/e2i6CiiyAyDKMN74jiOxR9j0/nOhPRFbP6F0ZERBSxKnv3sTO2BLOnhtqCiwxf3ScBIEusJZqptURH1+1qHiZO03GL6chy8I2ghH8BA6gxkBbnjFKdOVqtiRo3/igQTZYoD/VK+L1aerOFUDqKoCCEvA6O9eygWRRETihTYWw5PEXKwp/q/fCm3TqWltRkTVFlC8+09VcPS8TjBJuFj1xdFEQC0AZh8LkE5+6fw3v/4z3NWJb0fukghRia82IBjA/HGA4HoEECnmaQUuaemaxAmYJQjMFgiIFINIPLCgJKjzMz3ogYxBLIpGZkGdqc2TDWTECaJrjx0g1svrKBKaQuw41vqjPw0HfMmsbMbmzX9m3L2tcIwuJMWNqKKf3Qx/gQOCUM0jXdBmB9yLp7tseAW+BrVeYbWwEydWJGuwiJ2zS/XaytZsE8a7rW2NYFpqrmuQrEWkQ/tPVhZGwjOoOAZXu9nAT0mS/LtJBZCGPb5+XaXolgjjXxyvAPhbfapgJjK4yfFzMU682rztRq5dFqn9bjXYJJyRC45jgLlOLtcrPZq/cQQjrtUBClXPPTUDvDANbl1SYjwRGOAd/ck2AjDzeXnZA+tqpugyXv37pciPWRP03Zl0+DLOs42gJuLWsBd9rHpnK5hWGf12QCmN/cYmFg9y8bf00I804DxtbnN/D+6ww8Isd8AHojyJiRJoSJzJApBWl8aidTiXQ4AE0AJW2EYl2KEAKDwRCZApJUQGYTpIKxtbmBaTbFweGBC1gFpc8DN1sP7CmnRITLV65g+3u3MF2XUEbZl4/P+pFS1uRNJ1N35m6BGerVH9xY/iJReUt7QTCg7Pnp5p2sSRJ12+vmf2Kx791kIr56EYOLmuQu9Wpab1bnnSKWhTbh7vxuEHHsRETMg2W4rczN2M6+ADQQPACS4KZPhlH1SHvKPwURkkQYjZZhioSNAak/rSDfVrlY9dneY1FMUVNwqvw9W6K1EvX3ugppNpEztWx87nIthfYN7FZAkQxktB72gfqoxyYvgjadc0+j0KHCEpJNuTdokzqhK2XqaWvZv6Dj2zbWS3/aMVCsKAPFNi+9CAk7Ntu1Ka6qnlOiQntg/UaCsLbMrmOzRYreVq8OmvDVBJekCf6BS3pBPHN2A6OPDTH53Qwq00HdtHYUmE6nyA4AadbOjY0NvHD7Nr7+9a/jcDIGQ5sp66O3dFnp+giHUNifTrCWjrC1vY2BUPjYKy/j/v37ePOttyC9YFPaeiOvIQnC9tmzuPHiTcjLE3BiF+JqRG77im6tVkD6NMX0/Qzv330Pu9/ew8XnL+LcF7b12PPWvT6uCscLNu9rzCvMGcDE/uxq3gfDaHlCF6S/+n3ml9pZeFVeR6wWvj6aZaGWLUxjxUw5XCXv2Wqd9L1i/l3A3rpXXJ8Xh6NgdJYVK2L5dQ/vUycRqyXsOR2o0k+z52AFs+FS5gCXPuG2wl7ZLgJ9hHttebRpWUMujvlF7/nmW70wF2PbaFbU8Nt6fHWFJWzIMDmJ+w5DyBqfJmHO76TMberWx8tkAMGsA7S4nb14PICO4tlNm1trurvAxaxsYi1EiKj3oss22nL3kPA7TZmNQmyXCHssxAwTw0XAMSbjAc0ikGs7/MrYMnWfozkDET7+IT8LtqaeaA7W5e6HbpduEhXP1CWohnazQaKsjswyrf6zRaP68nhV7nEj1Cmbj1ezK+Zd4/tYfJfmjZuBSncsbF0ngJKS/2+Zwe+F4yFGCMUo12AdHEpBj38hBJK1FLd+6Dm8+dp3oR4qrZVnI25iBksJJiBjxuH4EG/feQeUaK0/S31ckAK0GbwQGEuFiZRgYkyzQ6TDDYwGa3iyu4eD8QRMIh9jpAAIkBBQMgOIMFpfw60Xnwd9FDi4OgYSYbS4HvNBAto+WmtieSwhdgTU6xLvf/0D7Dx4gvHBIRQD9+8/hPj+FBvnNl2bEDNEoEtXhXisVNEy+H6XJnbNTOyVHgVyOLlZYqsrZ+cC3Gd1Sqlan9vaXFoI/HkDhFVNho15vlLo+pZlQbJet5LaZ0+UZdeJRJ2g4mjmdpMPeEhj23fd6e1u84yi3yzklgz65e5SrwAzuyjYNXJWwaWfvrwH+PmJ0v7CJQWOvlZao+dAZ8a2zeem4A9YfpYENHPbsSx4Cw1yLZygvAzrQ0tUPf+zWHxVtFJoWEWdGLW8botDeSEtLrCWwOPK/fxqzsBXalfHbXhwjD47xUqenSvSqW68RPUbUJtPVSE/5H1c/0yJQOS8j8kY1TZ1V4g/Y+bCe9aWXdtuvtyvbQR4ApYyo+vd96/aiMZkn2qYzWXetHzPaS/Mc2W2mLg8fop1m3tzbRVs9UHNSFlY/sdMTPjrTs5XgAEoMBJibF/YwrWPX8G7v3kXLE3PGlcANp+CgCzL8PDhI6SDgREAAQQBNlpDZmA6mYKJnC/3ww8+wIAEHj78QB+UnK6BOYNiBcEm0jIRpNTr1NlLF7B+6Qx2bz2FFKaWwrBtpHtKstR1mgDj+2OMvzrG02/sYv/xHrJpBquoJiHwJN3B2cOzWOdN+NzsyhJ5VPs1v1bP7S6l/MWjvJcU781iF9FmWjaLW5AltJqHRL+xEqqf/R5RRV8GsKCA0Cmx5AG+dLTRyPP6rZ9ktM+fFi3HEtGnxTW9VJPhyR7CDk3jUSk1k8l+JR8qUXQewe7mSFneNQd6+djWMWXl797FzvlWpapU8LO1DZv/bh9R9ZJkmmla1XX1rItVFx8Pa1Jab5JrnrXDYxYVYjEDMPva8fzfcloXM9WkUQTNJJ2wSdyJkLKqj5pNV/MDYW1E4S4VNba146fy20apra6awdp7fWnz9buIWVTXC8rThuKK1osyivcj/bdgsOYAJTMu/sB5fPDHO9h9uGfumdnKeqRYoQQBkJnWrhIlOro5AUoZ5sA3VSWCZIAVYyoVkJhgZWkKKKW1tCBI478rCHi8+xSPdp9AUobU7Ox5YCnWArGHjMkbEzz5ox3s3H2C8dMxWJnYB2bTEkJg8GKKmz/6MtYvbRrG22xwTusYWPviYDtS6LWiWXBZ99tHXfDBWRBmbHugtGYCszHdEREREacJwVNg5mVmZ0TtXjLjcjw3Y1s+HqTZHNkyRbPVrMDE+lF1K1pOoJ30LiJveAYhCdat4pfYUM86zGraXDZF1t+r9TBXDIUq8t+NtWyBISrzHqtjonJNJNk6NtatfYKE7zenWwR8U6TKJCJGNWjXDNqKme8ZbW1BTtDu71rNxZag0yqQO7LJasGLnC1Vpkxjn5hnQ1J6VvWWBXW/m65F5GAYwUQKJBcTXH3pKvYfv4Usk2au2jmkzXcJWulphVWKlZmsRiBl1gs2AirFxlqDrLQKACskCQFCAJRqRlUCDAXFjMc7Ozj449dw4/J1XPjBbci1DMkkASRw+OgA46/s4enXd7H76Cmm06lhdgmChB4fJJAOUpz9vi1c+onzSLfWMGbrpmI10FawFLGqKK/fbX5VfTWgOn1x3Z51n+tKbJX9iE+rJu2kYNb2j/tKRMT8DGrdmndUc4osLYIiN8P+hY6YyxS5ThU9j39q12fJqK+btcLzMLU2o5JqfEb06fRQG2oz7GbiQV/0vs/JjDUN5DYTMrLEMsoERzvCEvF+pmF9xhmgBTZ+cJG8OrO94yx1WLTpru0X5a7Ama9azBpsJUjkUZERn9VSIaIGxJgiQyIIGApsf3oLZ761iccPH5vFPzELvhVp5Gb2mu5nKPatCDyxFdvfOmK8XTqICUoSKE2QDoYQRBBKQUymYJmBVAbezTD9/QNs7F5BdiWD/K7Cw/sP8OjBI0z2p9pUSVlNrvljgCAw3FzDxc9dxPkfPgvaEJhKHVU5f5LcRhZHy2qjLBwsM7qzRioOwaa3zG1e9nz5lK6iUeTYoYC4rkVERJwm9F3TZo1XVEsvoqqqm2W5X4iPbfglyDFC84K8aLJFE2R/c50zb6LwUScLZFzb7lc0tQEtWdVJ0tfe2gea0xprxNzEvZJffcJcqBI2NwuhfSwdD2NUNUNjMPvfF1weHLtcIOkNyzFnjhZ5/zPrXJele2jrmVmFYBFaTsVQWg2rAHELuPrKVez8jydgaQKJOZNkdr2twDqt6WxGLuCwweaMftRedeufdcyQEhiDkSUCgyTFYGMdA8XA4Rg8nmDn3iN8fecphsM1HBzuYzyZaN9dc0CQjhWXW+oIIbB+ZR0XvngR2x/ZhlpnZFDghEDsrVn1Uz/iBKBJuFnH5M4y/6PGNKIrZt1X4j4UEXH8aBKSakF96XdHzM3YzkKs9mFsfWm+X06duW6n/Mr1RsuZqS21azManVUgkL8fDOE6y8ZeZmabNGxw5ytqRpWrL1r2Fy0mhzVdbjzGYW7Nan9CZpFadN8ZVfdJc/3mq3nO1JLHfvaj8XPWOF8c+kiWwkyxgGauGuUo0WdtDnjMAAGcAts/cAYX3riAh/cfAJYhtExpydKcnW17zsxyaWkg/4f9zdoUWEEHisikxFQkWEtSjNZHoCQBjw8x3ptguj+BZGWOVyMoViAnhtRjJkkSnHl1A5d+4iLOXDgDThjKmDYT6VBw/gLMbm2KOKmYdS+IiGhCHDsREbPjJM+bUPyGrujM2BZCz1CJhiVfA1AEIWds81OlSlLdVvbRp9GK9dCatPn9MMJltxspB5k/hBl6j+4slOa0ljNTeDM87+v36+rYzKcUghK5F3SMsvaHqgQQKRQdapcqZTtLQI++E7qSXpQ4hpCggruYx/naCy87q2UzbVs7plverSjZsqyxMePrIO9qzj78UjowUeix6nnNxXIX3GcdUWd5cJQI+/DpecBgMOnjVuRzjIufP48n/88TTA5k3qOc97KFINLH/FREJJR/sFm3OT/vG1YTnGkTZRICKlE4VFOMiTBIBQYywRoAVhKkD1CGSBNAZmCVmz4n6wLbn93E9c9dw+jcGsZqrFlmJZAI7Xdr1xKnP+bZ/cu74ii0fyE/9FXG3HMwN+Fx+YQY2oqJMpGzOCgIZhqKK7iJoH0Ot/vJdltT58l72UfEnAbkY6X5mXnboY1uWPU5+WygZm86ASiShMVx1mVULdN/fxXWjTrXFO1Di8ZurlSbddDKeawXOzO2CRXjplYbzyvcvpTR6hETSOkjKDQRVtaaovllAcArmypfuqO5w5sz49BtSxi6n5ak09SaADwj6rpSGzSsXN7mZ8GM6cpCCnjvHKK5fY0gUHqNEodXyoeojUerMj6z+KIuciMjqmmg5qeDj5aDnpQZWMUMyAYBkZ1LjROgYcy4S6rDe8zJIKIlqjKHfXD7+Bkvwh9kVcFK85gSEgIAC8LgUynOfuMsHrz+CCzJWiprjbkh8gURkjTBVDIUCTAIyo4PJ7Cyv9kcoAXokGOaUWGzKBMzIPV5uCIRkAI4sz7ChiLs7z51Z+UmgjBKR8iyKWSmsH52A+d//AIufe95pEOC4gyC7HnJMAy73gv0rDArCtlggavbL8vAKozD8P5Yf48AMKkKc1uH3Fe2xNxKvTb5a0i1NerWO0scVteTcpm1dbeEVgPa+mQV+uy0YdFEeTk/HWG7ZnStADPQhGUyQatRdh2342teVhSeUK+oLNNoq/lxjbmjHEt2vrlxZI9s9WhCvx2Es6A1Qn2ezwVwrqjItSa03neuuebfqOvO8LmmrcqqIJY2gJp4e08p0lZy+K3nSLgIWM62RYMX1LqWfvpXVn0TsVhGoKimiHPsGJNmonCV263HSH5m0ZVw1lGOoTeDgcClH7qAw7sTPP1gDwCZgGcKBKOpFfqanE41gypSkHnGsQ+GIbDCEmJ47gkMINHz1gqxSIerGpJAAmA6nWCYDjDJpqBEr3SUCLz04ss4PD/G4HuH2Lx1BiIFpmoCRqYLyLlo5BY4dsEkZ9LeJ6BfxIIRWncsgdJgftxpjLtxbovr1vd1TG0IVSbHVjuOtUWhjpHsm0fEctukrY/6lH2cVjJtWETVGoV4LevScY/xVRDK1YkzjLjSfQ8qFgNYmI9tRMRpw6LHeO3xQnlpMwpvarT9z56i69QjN/PW/Z0mCfAC4eb33MS3f+9NTKdZ0cwHAEggkxJkrEaUkiBKoIgAJLCaWgDmGQKxKggeiTMQCQhhrCWYQDIDywxjBQwgMBACIk2wvrmB67duYrg2wOBTCdZuj8ApI8PUMMWZNkEmlWtrXUnuTQvHukWcXhTWPd9IKXZ/RERExClGUQNLVLRb9a3/+titzn2ObcRi0Co5OebNPuQbOQuOUhCyDE1rX4SZWqM5aC3n9FJ/8/bZaRawuXcjAImONqzASNYTDH40xfWn1/H2194xUZK1WYRU0kVUHgwGGK2NsH8wRqYykEjBZAKJkWeaTH7MbMP0Gu0uS1TGJUNAEoOYIQYJxtkUH+w8xq3nb2F8bozpYAwibWRsNb7+bmZNjn32lqNU5sRCK/pn67ty5Ms+itPQUUNhnN61IyIiIqIOx6mtLdjmsGZiRX7FWIt5z89Z17kZ25Bp5GkmNheF9g6zJnnHhJ505rLGwHEFGuqLMsFVW49ndN7MYma9yEirpbg3qw/SgdkUM8RZ4OKfu4CDh4e4f+8hoACltA8Ls45QzCxx8dw21od7ePTBE2QsIZEApLW2ZEIpM2ttKTm7H2ViA1gm1whUDPfBYEiWgGAIRUBGePjoEZgYl3cugy8rMEk4U2fY4IE5clOtIlu7vEOpIpaNRQlBj6rsUpSIiIiIiIgFotY1oeSP7Iu8bZwQ9+yciBrbiJVEm4/WSdEeW9RpbIu/W1zZ7EMRC8TJImpNOAUIECRnSM4BN37wBqa/ofDw4eNc/2l8VJWU2Nt9giuXLuFgdw/7UwlmQNqjY40ZkOaHBVhK4wJbPdvb/6mMFlayBElAM8ICDx4+xOjLa1i/lQIjzvepksdRIXicZ4N6snojIiIiIiIiYi5QjQ2i51GFHooH0f5IxLzoYyNeyOQZQ/GM4iq5e9KY2rpyq7+RR/Cp+aPAPf13hC+zQrBR9+b9OynwowNaBpeFQvJqiktXL0GxNkdmo9U1ql2sra3hueduYrQ2QAIGsQSpDGAFyQxJDCkATggiSXQAKs5jPPlBnGz+AMCkzYgkK0glMZ1OMZ1M8fDOA8h9ma9bnZv45PRFRERERERERH9w+bsmPArfO0Xi9dBZY1sXzXUWwjCkgQvllUctnI/wYU+13VCzufPuElDLBkqpPZK2tf18l+pirksHV/vERWk1AWCaqrGIKHvl8VIMp24jcdoCW7Mr5j3b4wsDU7HNir8JqhQLqpC2dIFqnqktE93fd5nREZeFvszpcfO2nZqUPQaTcwNKBQatKVBKQAJwZphb6GBPTIzHO0/wJ3/yBvYPx9qEGTBmyrpwFlpry0IgSVNgQqAs06bJefGaobUXCCAS8I+QYqWFK+qMQjbKkHBoa7FCBa8ELmlt5xhqXcbCMoUZfc81PU5BS69jPdwy5gtBXM7mNzfcz3+Ft8j6utVVuet7aMHzcny7F32G7TxH1Mxfh2Wu8/Zot3xfn5UmXAZOkpCzjJNc9yLKLE6Xudn1maaUDXxHS67dzsdezX5ZxNzqQysW4yvA7R9zkvO1WIqPbdPzrWfKoeoro194Rna9gNAJm8AspH+TH0/zuX3VUqjuZmOBlmosJOxU117gloFr7zU0W7mv69pqlrHjpyEwEhN8xk2EmYZGuP3EksPqF+rKXOxXJ6KqWXDdozPWj45/ebU+lgvJq0541GuRPjYxR6enyPznXQAYUEZTryjDVGVQxGBiK/IBG3Pk/YMxvvvOXS1EMW0nvKyUYTAlMxQBa6MR5OEBSCqQDZTszTWYo4Ru3XoOh4eHeLK3g0k2hWLG0zN7uPnDtzAarQM0bX5zVl4/FrezWQQxs2LZBGBoT+zL1B5F3eeH2dlqXt2PgG2/VyT0gR7XR1QVn3Y51wSNmuU93Ig7JteUZwFtcVjsnHFx8ogKf7OgrxVOiG7pilUU/h4n+rVHl76cj6m1aRvvUpjvYK5nid37Mhf37SMEV6nHAkJzq20OLSzGCXv5kbceFBRm8/N90cf2qFAS4HSZsscm81ldYRPK5HD5e+/8l8zYFnIv+dhGRHSCEXUaJanbZNltqkVmmEmzi3oP0YSkgJGrsN0IGRPOkCYJ0uEQNJb6mCCXB0BCQAiB7bObuPjcOQxeSrF75hweTB9i/3CMK+cu4fy1MyBkreLEiNXCsZ6T/YzyAifRQuY0Y9Fa9ojTjZXt7x7DeIVJ/5lwJIztPGY0i0MfbW9/1KnYO5uGIiBMXuIr9WWyVnbCrzDotKwoER1RJ6LpBkau/SdBkFJCEIFI++FaqwDL3FqTK1uSNiIuGosyAMUSh9MxNocDbZbMDFbspKhKKQzXhrj6A1cg/rSCHB1ihAQ3+QqkAhgKJBgysrUnEn0I+7jmLx517l8RERERbZh3pTgtCpZj09geq4S4I7qYhwXfwbMfB+COF3EMa6u1L7tP9zABgFoyE9ROdId8bIHwJjxLQKh5TJf7YFnjclaicVY/iC7Prvp8exYxLzOhVwTNrCplfV11cCd9NlxudkwqN02y5pdk1xQmJ/tjAFJKTKaENBFIMQAp1j65ADJWuHD1ApJPp5DrGUSi6y+lNYPWzDGTQsiES3/6bwJXAbJ1sctdHLNHgmX7XM0Lfx1c5FFfJxHzn9c7O44zyOKqBHiMWG10G/99NAbdadjT5FpwGnQs0RR5Dsy0AHrqWl8D2+KmmicqfHZO2A+FwC6zo6195ol07BjcEz/l6sHO1Sv3PfKhhSLhhfY0La4RzbAaWyIBMCCzDKw8gYxZa9jcF5x7N+YiMvb8gCjXsRIjkxmmSCCUwppIkFICJAKjQYozW1sYnBlBikN9lq2tj7aJNhrjLmtHyX7FY3j1OhmJzIiIJpwExcBRI+6BEUW0z4/2ORTy/28WNB3nWFxeULmTg2eAsaUW8QM3jt2FbhwNPraNVfO0FseBNgNuaggW4u7PwdzOcv9ZQP05t82asNhmJwgM9JVOMTOgFOQ0Ayl9vq1wuljjS2vWEMF2ATJn10K59YUBl04/osAJIcumICgM0hSUCAwGKdLhAErqYFOJEPkixQQdqO80yHsjIiIiIlYZ3emdbprXKsMXDrJUThvOa3UQ2qFPy+59+hnbIAE5Rxf6SSxvF8qmVHRBFxqYlz2VpsvHcTG1q94uS0LU2J5WzO0NAzBDMIGl0sGgoM+gZQCKBEAEEgSSBGEmjlGsmojIcAI0honYzfopNubLUklAAsgY0zFw5+27uPyVixh9NoFkhYSEEbgYs2bzx7Xnm0VEREQ0I+5hEYtDWD1TpjOFEIXfs9Bbq0h/hbie4L1ToCA5snNsy3nZ9E3H/OQPAyBu1V42dkYr5xmGKAXt9sd6W9ZOSdJ0v7X9jm+A2UiptSDjw9dYvbD2sNWc2AuVXlsHDpfdB32PDOgD4bVM/ZnIATA3MxPc0I4FhPqrrQbUwUR8OWP5KPpq3iNc2jG/lIaYQUxYez8FpgopA8IsSFpja6IgC83UCjBMCGQQAEEJFBjKBKHyX4WYwVLPA0kEqSNHAZMpMqkgfg+4/OELWLs00MGiZAYmcyIo2TWy6b30opj7TapC+zqHg5Jfpbu/4r5Nq1afLjjqOpf9KMtrbvl7eSyE6qtUMXBZm8+mtlKY//3nJQK7mAv2GfvzuPvMkves8R+6xso4iv23Szt0af+mdPPiJK4dx40+TBhRcf8t/84tkOohPPceDY+HgT1Kz7+C0pOhuvcfC3PlYI72683bzli4PdkhSDrMgCM7x7YpfVNAiPw3e2aYs6M9XVg7KErPzFSNk6pd7FTn8DldwSw6jZ22qb9ALfwKwJ3jFzQ1bk7vzEhrMw/c83KYfz4f35ltJx/zjVeCMT3eJbDSGlvNWBIypfKgUonW5eZdyyAhcP7CBTArPNndxWQygbFqzmMAKL3oKgAgzSRzpqAk8PT+HsQfArf+7E1IdQjFEgBrn95WJwYrpCwyr2Si6THCfMazanK/6gx9VzS9Rx2zVPeOi3/v5WzSXRi4ec+SXFQd5sUsc7A6x4vw6bxVR9t791mbTup8PgrMGoi0T755DBy7Z9b3i71vj3CsHuVYx3v4fERYFbDU8RBUOh0neGGr8ek3RV4AejV0s9ITsk++EREldPUHiTgNyC1dpNQriVKMdDgATSZuiyCyvrNaVUtCYHt7GxcunAUDWN8Y4fEHj7G3d6C3WiM5PXNmEyDC/sGB1sKaiFQKClkm8eDBQ1ybXoFIbHUWN744CkoiGhAZgG5tENf7iGcBfcf5ItLX0Vf1yrii7VvI6DCucv2wMoxtWXOb/15uOctEuIROarSVRtMGGzfV1cIq+n+cJITarm+79psrDKkksmkGZaIiExGSJEGmlAsv4AcdSxKBW8/fwrnzZ6FYYW9vD2c2z+De3ffwdOep1syygpIZbr/4Ip7u7uHe+++DpdR1JSAZCFx64RIAhpL6qCFma/LpjOnnfSXz0b1d43rz7OBZXstmfe8mmsq/FjEb2mieZ3VsnkS0aYK7mPqXLU/z+3Ys+GXkv4Oz75hZg7r3PmnrxUowtk2+tsDRN2ihPAJINT/bF8JoU5onUJ2ZzslniCMWj75uARGz43jbjQESUEphmk1h1wQpJdI0xXQ6dcb8IhGgTGt1t7a3ce7COSSpgIDA2cFZbG5tYW24hte+9g19Di0I0/EY7929i5c/8hFcuXoFT3af4k72Hg7kAQ5fktj42AaklFpja5lR5ho/pdnfK9SsbUE7TtoGHDEfTrMVChFBCFHrX9wVZT/lamCc09t+y0Bb+y+iPWN/zI62OD2zBCqdx6e9WWNbNmX2aXmq3ePamOWI7jgWxnamIAZYrt130O+jh29vp7I7P1F+8vgXwDjpThZCC2XcUE8uWLH2hwUA1hpUShLdp2wCwBlNriDgypUrSNMUCtIFwhNJgq3tLQwGA0yVApgAQdjf3cV79+7i1mdfAF5OINIBpsgwXEuQpgyQNA6xJuYy+Rt6j3dCwIO+RES0/Y44vTjJfd31rMl5Cdw4L44esY1XC7OevjGr/3SbRUTzvLWMa6UQnbZD3ZeNk07fr4TG9rgRHETUHNCnd7ls/MkCQbRcJRyOPyJVXMBXE/MGtjjpi9izCBssTCoduInsv8bnlmCiJDPrI38AbGycwfkL500wqKLlR5ImSNIE2YRApI8+OHNuG6P1NUzOjjHdPMDGIIEJEwUigg1Aa02u9HU2ZslLfPcWje1xW/1ERERERBw/ZmVufYQsgeYXsFqlGbdS8ce1b50G+v7EMLbLIlaISsf5VMopmvDMlDfQajVc1HJ0eafjN0VeBTOJCnvvLD6Or336tUmd2Xn5Xo/cWzS2x9WfqxwI5bjHeAi2TZQ03KW3TrFSZl0jx4SKRODy5UsYjUbV9zLNOxgMMMaB8aUlHOzv49pz1yGvT0GJguQpILRgmZX1qRVgqHz0su9fND/anDPccx0Iiqb3PR4ECKkZc+r+fPuTwSd6zNE+JrRLhwvS0u5L15hFS33nXbsWsSY3xy3p73Pbxf+w7do86NMmbX6wdfe7ROrukrf/TBOOc7856YyMj67v0jei8qwuMX73Ug0dX3Q4bD9AcVnIrb2OCV03/wBWkrEt2M0rhjtFYgHwB5wm/pQxpLMXy8/3La/+OgMQ1oeG/KuF1A3X28GwepzF47glOqHwNFo+MH/d2o5aWN57M/I3E8XLumT9o0fxJ1Vje9zjbSXBBMoSqKcSSuWnThOARAHDtSH2p2MQE0gI0AA4f+UiWJgnC33OEEQYDBIQWYEcI5tMcefdd3Ht8Cr4jAJD6aP9WJ+MCzCYLWMNw9W2E4NBKXnba3e5GhjPooegsi+CI5g68Y+NmbH7px69Z/gxEuwhP7a+OJ61vhusn62tS9ve1IS6+Vj2ue2D0Pq8yDZcFKPf9X5Xptbe6zIPjntMnSbYYIn+7y5pFlm+RRcNrk/jceU8oNIeifB+sTS2k3NTaJVfOiJGl+B8miqlzVZ6Z8b2qAeNj77Gt3UO4vZaO8+8pMXIaGlDzut9yJFl8irHLXlsGg9k/p23u7oQDkezOR29uflJ3XC7mhKdRlBG4PvmvFp7zXwKAGvDAaSSIEpw9vxZjDbWjSCtJMgzWtbBYFCQsQlBGB8cgh4DfDEXk7FlfmvWRm7jsJDPoca+W6YZ8zEeJeT27Lp7M0/5mn0jlHe3rObMYDloC6bSd81a5dWh7J40q8/tUfnY+sGtZmUyVg1tjGuX9CfxvU86ZnHBCtPbzfkunJaoVJnCtz1wBzPm/rA6ZePmREe1a1LpE5hnpT4+8fUzjiZzHf8v4ujRxycjIuIowczIptNcIOOt/zLLkIoEYEaSJLhy5QpIEJi4YBvgI01TwGxg1jViMBwgvTK7YY+t07xapoiIiIijRly3IiJOPlbSFPlZQB9fjYjlIjKvEasONs6silXVW4e1FldAHym2vr6O7e1tz0y4PL51XgWNrY6ah0E6mNlsMa5dERGrjRhgLSIi4rSCOFIhEREREREREREREREREScY0RQ5IiIiIiIiIiIiIiIi4kQjMrYRERERERERERERERERJxqRsY2IiIiIiIiIiIiIiIg40YiMbURERERERERERERERMSJRmRsIyIiIiIiIiIiIiIiIk40ImMbERERERERERERERERcaIRGduIiIiIiIiIiIiIiIiIE43I2EZEREREREREREREREScaETGNiIiIiIiIiIiIiIiIuJE4/8HLDWMTWseDFcAAAAASUVORK5CYII=\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Propagate in video" + ], + "metadata": { + "id": "batj_4_xb80o" + }, + "id": "batj_4_xb80o" + }, + { + "cell_type": "code", + "source": [ + "def propagate_in_video(predictor, session_id):\n", + " frame_outputs = {}\n", + " for response in predictor.handle_stream_request(\n", + " request=dict(\n", + " type=\"propagate_in_video\",\n", + " session_id=session_id,\n", + " )\n", + " ):\n", + " frame_outputs[response[\"frame_index\"]] = response[\"outputs\"]\n", + "\n", + " return frame_outputs" + ], + "metadata": { + "id": "a4HttWiSb_Hx" + }, + "id": "a4HttWiSb_Hx", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "frame_outputs = propagate_in_video(predictor=predictor, session_id=session_id)" + ], + "metadata": { + "id": "xbLRIdINcNEM", + "outputId": "0254eb1e-ce7b-44a2-9732-aeaeb8a3a65b", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "52149e60077d4901bd53195fe1133646", + "a021321035e74451bf7c553b7303caad", + "0ca76f3021a444ccac191e95555c68c2", + "4a62e35d6c1f4b51bcd4cb44ad6ee7c9", + "1a20f58157e648ce8d719661a4dd3f60", + "7bf1d2e68966471d9598fa360a967e6a", + "a4419f0467934d3482035a476a4470fb", + "53049e27b7b347acbdb6a5daee86c044", + "4fe8e3487cd14e4ca1ac2f67afc41de3", + "2e7616001b6a4f86a92aacf93c5bd936", + "c5f4ff6f97434b5e95c65409fdf0bc87", + "786dea60082a4a2eb0a8cc0f2d2dc359", + "4ce3c2c9619f4fecb29876915ce2c860", + "dce733817d144c078875aeba85674769", + "ca05da9d87d64b9ab578b5b5202869e3", + "af1f33cffb634a43af60e3b221308910", + "aabd9ecfbd5b4561a5c285dd352bfa9d", + "0b6bb347c6684b5d8f574667f83eae00", + "6a2f4e81540842f897fd60e495895dd9", + "261addeb70c3471884a215852c989ad2", + "891966a14da24a79bafc1cce4de334d4", + "98bc4d212e834679bafe91c81105a577" + ] + } + }, + "id": "xbLRIdINcNEM", + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "propagate_in_video: 0%| | 0/429 [00:00 np.ndarray:\n", + " annotated_frame = frame.copy()\n", + " output = frame_outputs[index]\n", + " detections = from_sam(output)\n", + " return annotate(frame, detections, text)\n", + "\n", + "sv.process_video(\n", + " source_path=SOURCE_VIDEO,\n", + " target_path=TARGET_VIDEO,\n", + " callback=callback\n", + ")\n", + "\n", + "!ffmpeg -y -loglevel error -i {TARGET_VIDEO} -vcodec libx264 -crf 28 {TARGET_VIDEO_COMPRESSED}" + ], + "metadata": { + "id": "-zk2gEZBdaAB" + }, + "id": "-zk2gEZBdaAB", + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "Video(TARGET_VIDEO_COMPRESSED, embed=True, width=1080)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 629 + }, + "id": "WJaIeRBz4Vhx", + "outputId": "7392e148-f792-45db-c357-6c5bf12734b2" + }, + "id": "WJaIeRBz4Vhx", + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "" + ] + }, + "metadata": {}, + "execution_count": 59 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "
\n", + "

\n", + " Looking for more tutorials or have questions?\n", + " Check out our GitHub repo for more notebooks,\n", + " or visit our discord.\n", + "

\n", + " \n", + "

\n", + " If you found this helpful, please consider giving us a ⭐\n", + " on GitHub!\n", + "

\n", + "\n", + "
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