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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "# OCR表格识别实战\n",
    "\n",
    "本节将介绍如何使用PaddleOCR完成表格识别算法的训练与运行，包括：\n",
    "\n",
    "1. 理解表格识别算法原理\n",
    "3. 掌握PaddleOCR表格识别代码的训练和预测流程\n",
    "\n",
    "\n",
    "## 1. 快速体验\n",
    "快速演示 PP-Structure 预测，首先下载PaddleOCR代码并安装依赖包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: pip in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (21.3.1)\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Collecting layoutparser==0.0.0\n",
      "  Using cached https://paddleocr.bj.bcebos.com/whl/layoutparser-0.0.0-py3-none-any.whl (19.1 MB)\n",
      "Requirement already satisfied: tqdm in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from layoutparser==0.0.0) (4.27.0)\n",
      "Requirement already satisfied: opencv-python in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from layoutparser==0.0.0) (4.1.1.26)\n",
      "Requirement already satisfied: pillow in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from layoutparser==0.0.0) (7.1.2)\n",
      "Requirement already satisfied: iopath in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from layoutparser==0.0.0) (0.1.9)\n",
      "Requirement already satisfied: numpy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from layoutparser==0.0.0) (1.21.5)\n",
      "Requirement already satisfied: pandas in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from layoutparser==0.0.0) (1.1.5)\n",
      "Requirement already satisfied: pyyaml>=5.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from layoutparser==0.0.0) (5.1.2)\n",
      "Requirement already satisfied: portalocker in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from iopath->layoutparser==0.0.0) (2.3.2)\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pandas->layoutparser==0.0.0) (2.8.0)\n",
      "Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pandas->layoutparser==0.0.0) (2019.3)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas->layoutparser==0.0.0) (1.15.0)\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: shapely in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 1)) (1.8.0)\n",
      "Requirement already satisfied: scikit-image in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 2)) (0.19.1)\n",
      "Requirement already satisfied: imgaug==0.4.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 3)) (0.4.0)\n",
      "Requirement already satisfied: pyclipper in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 4)) (1.3.0.post2)\n",
      "Requirement already satisfied: lmdb in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 5)) (1.2.1)\n",
      "Requirement already satisfied: tqdm in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 6)) (4.27.0)\n",
      "Requirement already satisfied: numpy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 7)) (1.21.5)\n",
      "Requirement already satisfied: visualdl in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 8)) (2.2.0)\n",
      "Requirement already satisfied: python-Levenshtein in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 9)) (0.12.2)\n",
      "Requirement already satisfied: opencv-contrib-python==4.4.0.46 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 10)) (4.4.0.46)\n",
      "Requirement already satisfied: cython in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 11)) (0.29)\n",
      "Requirement already satisfied: lxml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 12)) (4.7.1)\n",
      "Requirement already satisfied: premailer in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 13)) (3.10.0)\n",
      "Requirement already satisfied: openpyxl in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 14)) (3.0.5)\n",
      "Requirement already satisfied: fasttext==0.9.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r PaddleOCR/requirements.txt (line 15)) (0.9.1)\n",
      "Requirement already satisfied: scipy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from imgaug==0.4.0->-r PaddleOCR/requirements.txt (line 3)) (1.7.3)\n",
      "Requirement already satisfied: Pillow in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from imgaug==0.4.0->-r PaddleOCR/requirements.txt (line 3)) (7.1.2)\n",
      "Requirement already satisfied: matplotlib in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from imgaug==0.4.0->-r PaddleOCR/requirements.txt (line 3)) (2.2.3)\n",
      "Requirement already satisfied: imageio in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from imgaug==0.4.0->-r PaddleOCR/requirements.txt (line 3)) (2.6.1)\n",
      "Requirement already satisfied: opencv-python in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from imgaug==0.4.0->-r PaddleOCR/requirements.txt (line 3)) (4.1.1.26)\n",
      "Requirement already satisfied: six in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from imgaug==0.4.0->-r PaddleOCR/requirements.txt (line 3)) (1.15.0)\n",
      "Requirement already satisfied: pybind11>=2.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from fasttext==0.9.1->-r PaddleOCR/requirements.txt (line 15)) (2.8.1)\n",
      "Requirement already satisfied: setuptools>=0.7.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from fasttext==0.9.1->-r PaddleOCR/requirements.txt (line 15)) (41.4.0)\n",
      "Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-image->-r PaddleOCR/requirements.txt (line 2)) (20.9)\n",
      "Requirement already satisfied: networkx>=2.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-image->-r PaddleOCR/requirements.txt (line 2)) (2.4)\n",
      "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-image->-r PaddleOCR/requirements.txt (line 2)) (1.2.0)\n",
      "Requirement already satisfied: tifffile>=2019.7.26 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-image->-r PaddleOCR/requirements.txt (line 2)) (2021.11.2)\n",
      "Requirement already satisfied: pre-commit in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.21.0)\n",
      "Requirement already satisfied: bce-python-sdk in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl->-r PaddleOCR/requirements.txt (line 8)) (0.8.53)\n",
      "Requirement already satisfied: shellcheck-py in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl->-r PaddleOCR/requirements.txt (line 8)) (0.7.1.1)\n",
      "Requirement already satisfied: requests in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl->-r PaddleOCR/requirements.txt (line 8)) (2.22.0)\n",
      "Requirement already satisfied: protobuf>=3.11.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl->-r PaddleOCR/requirements.txt (line 8)) (3.14.0)\n",
      "Requirement already satisfied: Flask-Babel>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.0.0)\n",
      "Requirement already satisfied: pandas in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.1.5)\n",
      "Requirement already satisfied: flask>=1.1.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.1.1)\n",
      "Requirement already satisfied: flake8>=3.7.9 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl->-r PaddleOCR/requirements.txt (line 8)) (3.8.2)\n",
      "Requirement already satisfied: cachetools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from premailer->-r PaddleOCR/requirements.txt (line 13)) (4.0.0)\n",
      "Requirement already satisfied: cssselect in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from premailer->-r PaddleOCR/requirements.txt (line 13)) (1.1.0)\n",
      "Requirement already satisfied: cssutils in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from premailer->-r PaddleOCR/requirements.txt (line 13)) (2.3.0)\n",
      "Requirement already satisfied: jdcal in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from openpyxl->-r PaddleOCR/requirements.txt (line 14)) (1.4.1)\n",
      "Requirement already satisfied: et-xmlfile in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from openpyxl->-r PaddleOCR/requirements.txt (line 14)) (1.0.1)\n",
      "Requirement already satisfied: pycodestyle<2.7.0,>=2.6.0a1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl->-r PaddleOCR/requirements.txt (line 8)) (2.6.0)\n",
      "Requirement already satisfied: importlib-metadata in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl->-r PaddleOCR/requirements.txt (line 8)) (0.23)\n",
      "Requirement already satisfied: pyflakes<2.3.0,>=2.2.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl->-r PaddleOCR/requirements.txt (line 8)) (2.2.0)\n",
      "Requirement already satisfied: mccabe<0.7.0,>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl->-r PaddleOCR/requirements.txt (line 8)) (0.6.1)\n",
      "Requirement already satisfied: Jinja2>=2.10.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl->-r PaddleOCR/requirements.txt (line 8)) (2.11.0)\n",
      "Requirement already satisfied: itsdangerous>=0.24 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.1.0)\n",
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      "Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl->-r PaddleOCR/requirements.txt (line 8)) (2019.3)\n",
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      "Requirement already satisfied: pyparsing>=2.0.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from packaging>=20.0->scikit-image->-r PaddleOCR/requirements.txt (line 2)) (2.4.2)\n",
      "Requirement already satisfied: pycryptodome>=3.8.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl->-r PaddleOCR/requirements.txt (line 8)) (3.9.9)\n",
      "Requirement already satisfied: future>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl->-r PaddleOCR/requirements.txt (line 8)) (0.18.0)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->imgaug==0.4.0->-r PaddleOCR/requirements.txt (line 3)) (2.8.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->imgaug==0.4.0->-r PaddleOCR/requirements.txt (line 3)) (0.10.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->imgaug==0.4.0->-r PaddleOCR/requirements.txt (line 3)) (1.1.0)\n",
      "Requirement already satisfied: aspy.yaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.3.0)\n",
      "Requirement already satisfied: virtualenv>=15.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl->-r PaddleOCR/requirements.txt (line 8)) (16.7.9)\n",
      "Requirement already satisfied: pyyaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl->-r PaddleOCR/requirements.txt (line 8)) (5.1.2)\n",
      "Requirement already satisfied: nodeenv>=0.11.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.3.4)\n",
      "Requirement already satisfied: identify>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.4.10)\n",
      "Requirement already satisfied: toml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl->-r PaddleOCR/requirements.txt (line 8)) (0.10.0)\n",
      "Requirement already satisfied: cfgv>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl->-r PaddleOCR/requirements.txt (line 8)) (2.0.1)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl->-r PaddleOCR/requirements.txt (line 8)) (2019.9.11)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.25.6)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl->-r PaddleOCR/requirements.txt (line 8)) (3.0.4)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl->-r PaddleOCR/requirements.txt (line 8)) (2.8)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Jinja2>=2.10.1->flask>=1.1.1->visualdl->-r PaddleOCR/requirements.txt (line 8)) (1.1.1)\n",
      "Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from importlib-metadata->flake8>=3.7.9->visualdl->-r PaddleOCR/requirements.txt (line 8)) (3.6.0)\n",
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: pandas in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (1.1.5)\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pandas) (2.8.0)\n",
      "Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pandas) (2019.3)\n",
      "Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pandas) (1.21.5)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from python-dateutil>=2.7.3->pandas) (1.15.0)\n"
     ]
    }
   ],
   "source": [
    "# clone PaddleOCR代码\n",
    "# ! git  clone https://github.com/PaddlePaddle/PaddleOCR\n",
    "\n",
    "# 安装依赖包\n",
    "! pip install -U pip\n",
    "! pip install -U https://paddleocr.bj.bcebos.com/whl/layoutparser-0.0.0-py3-none-any.whl\n",
    "! pip install -r PaddleOCR/requirements.txt\n",
    "! pip install pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "安装完成后，通过下面命令即可快速完成表格的识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 切换到工作目录\n",
    "import os\n",
    "os.chdir('/home/aistudio/PaddleOCR/ppstructure')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘inference’: File exists\n",
      "--2021-12-25 20:46:49--  https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar\n",
      "Resolving paddleocr.bj.bcebos.com (paddleocr.bj.bcebos.com)... 182.61.200.229, 182.61.200.195, 2409:8c04:1001:1002:0:ff:b001:368a\n",
      "Connecting to paddleocr.bj.bcebos.com (paddleocr.bj.bcebos.com)|182.61.200.229|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 3190272 (3.0M) [application/x-tar]\n",
      "Saving to: ‘./inference/ch_PP-OCRv2_det_infer.tar.2’\n",
      "\n",
      "ch_PP-OCRv2_det_inf 100%[===================>]   3.04M  6.77MB/s    in 0.4s    \n",
      "\n",
      "2021-12-25 20:46:49 (6.77 MB/s) - ‘./inference/ch_PP-OCRv2_det_infer.tar.2’ saved [3190272/3190272]\n",
      "\n",
      "--2021-12-25 20:46:50--  https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar\n",
      "Resolving paddleocr.bj.bcebos.com (paddleocr.bj.bcebos.com)... 182.61.200.229, 182.61.200.195, 2409:8c04:1001:1002:0:ff:b001:368a\n",
      "Connecting to paddleocr.bj.bcebos.com (paddleocr.bj.bcebos.com)|182.61.200.229|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 8875520 (8.5M) [application/x-tar]\n",
      "Saving to: ‘./inference/ch_PP-OCRv2_rec_infer.tar.2’\n",
      "\n",
      "ch_PP-OCRv2_rec_inf 100%[===================>]   8.46M  12.7MB/s    in 0.7s    \n",
      "\n",
      "2021-12-25 20:46:50 (12.7 MB/s) - ‘./inference/ch_PP-OCRv2_rec_infer.tar.2’ saved [8875520/8875520]\n",
      "\n",
      "--2021-12-25 20:46:51--  https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar\n",
      "Resolving paddleocr.bj.bcebos.com (paddleocr.bj.bcebos.com)... 182.61.200.229, 182.61.200.195, 2409:8c04:1001:1002:0:ff:b001:368a\n",
      "Connecting to paddleocr.bj.bcebos.com (paddleocr.bj.bcebos.com)|182.61.200.229|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 19667456 (19M) [application/x-tar]\n",
      "Saving to: ‘./inference/en_ppocr_mobile_v2.0_table_structure_infer.tar.2’\n",
      "\n",
      "en_ppocr_mobile_v2. 100%[===================>]  18.76M  21.0MB/s    in 0.9s    \n",
      "\n",
      "2021-12-25 20:46:52 (21.0 MB/s) - ‘./inference/en_ppocr_mobile_v2.0_table_structure_infer.tar.2’ saved [19667456/19667456]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 下载模型\n",
    "! mkdir inference && cd inference\n",
    "# 下载超轻量级表格英文OCR模型的检测模型并解压\n",
    "! wget -P ./inference/ https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar && cd inference && tar xf ch_PP-OCRv2_det_infer.tar && cd ..\n",
    "# 下载超轻量级表格英文OCR模型的识别模型并解压\n",
    "! wget -P ./inference/ https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar && cd inference && tar xf ch_PP-OCRv2_rec_infer.tar && cd ..\n",
    "# 下载超轻量级英文表格英寸模型并解压\n",
    "! wget -P ./inference/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar && cd inference && tar xf en_ppocr_mobile_v2.0_table_structure_infer.tar && cd .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fab5d10c150>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 先是输入图像\n",
    "\n",
    "import cv2\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "# 读取表格图像并显示\n",
    "img = cv2.imread('/home/aistudio/1.jpg')\n",
    "plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2021/12/26 19:55:37] root DEBUG: dt_boxes num : 69, elapse : 2.900609254837036\n",
      "[2021/12/26 19:55:43] root DEBUG: rec_res num  : 69, elapse : 5.992196321487427\n",
      "<html><body><table><thead><tr><td>代号</td><td>项目</td><td>结果</td><td>参考值</td><td>单位</td></tr></thead><tbody><tr><td>ALT</td><td>谷丙转氨酶</td><td>25.6</td><td>0--40</td><td>U/L</td></tr><tr><td>TBIL</td><td>总胆红素</td><td>11.2</td><td><20</td><td>UMOL/L</td></tr><tr><td>DBIL</td><td>直接胆红素</td><td>3.3</td><td>0--7</td><td>UMOL/L</td></tr><tr><td>IBIL</td><td>间接胆红素</td><td>7.9</td><td>1.5--15</td><td>UMOL/L</td></tr><tr><td>TP</td><td>总蛋白</td><td>58.9J</td><td>60--80</td><td>g/L</td></tr><tr><td>ALB</td><td>白蛋白</td><td>35.1</td><td>33--55</td><td>g/L</td></tr><tr><td>GLO</td><td>球蛋白</td><td>23.8</td><td>20--30</td><td>8/L</td></tr><tr><td>A/G</td><td>白球比</td><td>1.5</td><td>1.5--2.5</td><td></td></tr><tr><td>ALP</td><td>碱性磷酸酶</td><td>93</td><td>15--112</td><td>HUSL</td></tr><tr><td>GGT</td><td>谷氨酰转肽酶</td><td>14.3</td><td><50</td><td>U/L</td></tr><tr><td>AST</td><td>谷草转氨酶</td><td>16.3</td><td>8--40</td><td>W/L</td></tr><tr><td>LDH</td><td>乳酸脱氢酶</td><td>167</td><td>114--240</td><td>U/L</td></tr><tr><td>ADA</td><td>腺甘脱氨酶</td><td>12.6</td><td>4--24</td><td>U/L</td></tr></table></body></html>\n"
     ]
    }
   ],
   "source": [
    "# https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppstructure/table/predict_table.py#L55\n",
    "\n",
    "from table.predict_table import TableSystem,to_excel\n",
    "from utility import init_args\n",
    "# 初始化参数\n",
    "args = init_args().parse_args(args=[])\n",
    "args.det_model_dir='inference/ch_PP-OCRv2_det_infer'\n",
    "args.rec_model_dir='inference/ch_PP-OCRv2_rec_infer'\n",
    "args.table_model_dir='inference/en_ppocr_mobile_v2.0_table_structure_infer'\n",
    "args.image_dir='/home/aistudio/1.jpg'\n",
    "args.rec_char_dict_path='../ppocr/utils/ppocr_keys_v1.txt'\n",
    "args.table_char_dict_path='../ppocr/utils/dict/table_structure_dict.txt'\n",
    "args.det_limit_side_len=736\n",
    "args.det_limit_type='min'\n",
    "args.output='../output/table'\n",
    "args.use_gpu=False\n",
    "\n",
    "# 初始化表格识别系统\n",
    "table_sys = TableSystem(args)\n",
    "img = cv2.imread('/home/aistudio/1.jpg')\n",
    "# 执行表格识别\n",
    "pred_html = table_sys(img)\n",
    "# 结果存储到excel文件\n",
    "to_excel(pred_html,'1.xlsx')\n",
    "print(pred_html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      代号      项目     结果       参考值      单位\n",
      "0    ALT   谷丙转氨酶   25.6     0--40     U/L\n",
      "1   TBIL    总胆红素   11.2       <20  UMOL/L\n",
      "2   DBIL   直接胆红素    3.3      0--7  UMOL/L\n",
      "3   IBIL   间接胆红素    7.9   1.5--15  UMOL/L\n",
      "4     TP     总蛋白  58.9J    60--80     g/L\n",
      "5    ALB     白蛋白   35.1    33--55     g/L\n",
      "6    GLO     球蛋白   23.8    20--30     8/L\n",
      "7    A/G     白球比    1.5  1.5--2.5        \n",
      "8    ALP   碱性磷酸酶     93   15--112    HUSL\n",
      "9    GGT  谷氨酰转肽酶   14.3       <50     U/L\n",
      "10   AST   谷草转氨酶   16.3     8--40     W/L\n",
      "11   LDH   乳酸脱氢酶    167  114--240     U/L\n",
      "12   ADA   腺甘脱氨酶   12.6     4--24     U/L\n"
     ]
    }
   ],
   "source": [
    "# 读取excel并显示\n",
    "import pandas as pd\n",
    "df = pd.read_excel('1.xlsx').fillna('')\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## 2. 预测原理详解：\n",
    "\n",
    "### 2.1 整体pipeline介绍\n",
    "\n",
    "PP-Structure 的表格识别模型算法属于基于端到端的方法\n",
    "\n",
    "表格识别算法由三个模型组成：\n",
    "1. 文字检测模型：用于检测表格里的文本\n",
    "2. 文字识别模型：用于对检测到的文本进行识别\n",
    "3. 表格单元格预测和表格结构预测模型：用于预测表格结构的HTML信息和表格单元格坐标\n",
    "\n",
    "三个模型的串联过程如下图所示：\n",
    "\n",
    "<center class=\"img\">\n",
    "<img src=\"https://ai-studio-static-online.cdn.bcebos.com/07fad4f0bc6a473f9258d913a9afc380c3cd582cc44f4d0fa4cdbade934e07b5\" width=\"1300\"/></center>\n",
    "<center>图 1：表格识别pipeline</center>\n",
    "\n",
    "\n",
    "具体过程为：\n",
    "1. 使用文字检测模型用于检测表格里的文本\n",
    "2. 使用文字识别模型对检测到的文本进行识别，到这一步，我们拿到了文字的框和文字信息\n",
    "3. 使用表格单元格预测和表格结构预测模型进行单元格坐标预测和表格结构的HTML信息预测\n",
    "4. 对2中的文字框和3中的单元格坐标进行聚合，如下图所示，根据<font color=\"#dd0000\">红色的文字检测框和蓝色的单元格坐标检测框之间的IOU</font>进行判定是否需要聚合。\n",
    "5. 在完成文本框聚合之后，对文本框进行一个从上到下，从左到右的排序，根据排序后文本框的索引即可拿到对应的文字信息，然后文字信息做一个<font color=\"#dd0000\">字符串拼接</font>即可得到最终单元格里的文本内容。\n",
    "\n",
    "<center class=\"img\">\n",
    "<img src=\"https://ai-studio-static-online.cdn.bcebos.com/32a7368a59f142dcb735247fa7537ae1681c5541f92444388bd916a942fcdfa5\" width=\"1300\"/></center>\n",
    "<center>图 2：文字框和单元格坐标聚合示意图</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 2.2 表格结构预测模型介绍\n",
    "\n",
    "表格识别需要三个模型：文字检测，文字识别和表格结构识别模型。文字检测和识别模型在前面的课程中已经介绍，这里重点介绍表格结构预测模型。\n",
    "\n",
    "表格结构预测模型完成了表格结构的预测和表格单元格坐标的检测。表格结构模型由RARE算法改动而来, 主要在下面几个方面进行了改动\n",
    "\n",
    "#### 2.2.1 输入数据\n",
    "\n",
    "对于文字识别模型，数据集标注的每个字符的独立的，但是在表格结构预测模型中，要求预测的类别不是单个字符，下面是RARE和表格结构预测模型的词典对比：\n",
    "\n",
    "|模型| 字典|\n",
    "|---|---|\n",
    "|RARE|`'<', 's', 'u', 'p', '>', '<', '/', 's', 'u', 'b', '>', '<', 'b', '>', '<', '/', 'b', '>', '<', 'i', '>', '<', '/', 'i', '>’`|\n",
    "|表格结构预测模型|`'sos', '<thead>', '<tr>', '<td>', '</td>', '</tr>', '</thead>', '<tbody>', '</tbody>', '<td', ' colspan=\"5\"', '>', ' colspan=\"2\"', ' colspan=\"3\"', ' rowspan=\"2\"', ' colspan=\"4\"', ' colspan=\"6\"', ' rowspan=\"3\"', ' colspan=\"9\"', ' colspan=\"10\"', ' colspan=\"7\"', ' rowspan=\"4\"', ' rowspan=\"5\"', ' rowspan=\"9\"', ' colspan=\"8\"', ' rowspan=\"8\"', ' rowspan=\"6\"', ' rowspan=\"7\"', ' rowspan=\"10\"', 'eos'`|\n",
    "\n",
    "在表格结构预测模型中，<font color=\"#dd0000\">将`<thead>`这类字符串视为一个字符来进行识别</font>。\n",
    "\n",
    "#### 2.2.2 模型\n",
    "\n",
    "表格结构识别模型和EARE的对比图如下\n",
    "\n",
    "<center class=\"img\">\n",
    "<img src=\"https://ai-studio-static-online.cdn.bcebos.com/6f08c91824954cb0aba30d816e2d493c58193463acd34a12a366129cc5f89458\" width=\"1300\"/></center>\n",
    "<center>图 3：表格结构识别模型示意图</center>\n",
    "\n",
    "\n",
    "RARE模型由TPS+CNN+RNN+AttentionHead组成,各个部分的主要作用如下：\n",
    "1. TPS：对弯曲的文本进行校正，使图像恢复到水平\n",
    "2. CNN：对图像进行特征提取\n",
    "3. RNN：对提取的特征进行进一步的增强，提取语义方面的特征\n",
    "3. AttentionHead：进行输出\n",
    "\n",
    "在表格结构识别模型中，输入的图像为整张图像，因此移除TPS模块，另外通过实验证明RNN对结果影响不大，因此移除RNN模块，最终表格结构识别模型的结构为CNN+AttentionHead。\n",
    "\n",
    "为了输出单元格的坐标，尝试了再检测模型里进行单元格坐标的检测，在DB模型的基础上尝试了下面的方案2，3\n",
    "\n",
    "|方案| 结果|\n",
    "|---|---|\n",
    "|1. 单行文本检测|<center class=\"img\"><img src=\"https://ai-studio-static-online.cdn.bcebos.com/cd8b4dd7df4d411086ba6dd455afcb7b6ab130639aad4607b05293876c64c419\" width=\"1300\"/></center>|\n",
    "|2. 文本和单元格用一个模型检测|<center class=\"img\"><img src=\"https://ai-studio-static-online.cdn.bcebos.com/d93353bacff74545b663be245102d03b716535221f15465284591987144d9fb8\" width=\"1300\"/></center>|\n",
    "|3. 文本和单元格用两个模型检测|<center class=\"img\"><img src=\"https://ai-studio-static-online.cdn.bcebos.com/a84881137cdd49d593abad35bb91f18d31cd49c9e2f44292aa33d7948e43d977\" width=\"1300\"/></center>|\n",
    "\n",
    "可以看到，在分割模型中完成文本和单元格的检测会导致GT的奇义性: Cell里每一行之间背景的GT是文本还是背景?\n",
    "\n",
    "在整个表格识别Pipeline的三个模型中，只有文字检测和表格结构识别模型能够获取到整张图像的信息，因此，在表格结构识别模型的AttentionHead中额外添加一个基于回归的分支来完成单元格的坐标(x0,y0,x1,y1)检测"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 2.3 表格结构预测模型前向分析\n",
    "\n",
    "模型前向分析通过分析图像输入从预处理到网络输出之间各个模块里的输出shape变化，来更好的了解表格单元格预测和表格结构预测模型，涉及到的模块如下：\n",
    " \n",
    " |类型|模块名称|\n",
    " |---|---|\n",
    " |数据处理|ResizeTableImage|\n",
    " |数据处理|PaddingTableImage|\n",
    " |Backbone|MobileNetV3|\n",
    " |Head|TableAttentionHead|\n",
    "\n",
    "#### 2.3.1 输入数据处理\n",
    "本例中输入图像和数据处理模块输出可视化如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x576 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 切换到PaddleOCR目录\n",
    "os.chdir('/home/aistudio/PaddleOCR')\n",
    "from ppocr.data import create_operators, transform\n",
    "plt.figure(figsize=(24,8))\n",
    "\n",
    "# 读取输入图像\n",
    "img = cv2.imread('/home/aistudio/1.jpg')\n",
    "\n",
    "# 显示输入图像\n",
    "plt.subplot(1,3,1)\n",
    "plt.title('src, shape:{}'.format(img.shape))\n",
    "plt.imshow(img)\n",
    "\n",
    "# 执行 ResizeTableImage\n",
    "# https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/data/imaug/gen_table_mask.py#L182\n",
    "\n",
    "pre_process_list = [{'ResizeTableImage': {'max_len': args.table_max_len }}]  # 将图片长边缩放到指定长度，短边进行等比缩放\n",
    "preprocess_op = create_operators(pre_process_list)\n",
    "data = {'image': img}\n",
    "data = transform(data, preprocess_op)\n",
    "\n",
    "# 显示 ResizeTableImage 后的图像\n",
    "plt.subplot(1,3,2)\n",
    "plt.title('ResizeTableImage, shape:{}'.format(data['image'].shape))\n",
    "plt.imshow(data['image'])\n",
    "\n",
    "# 执行 PaddingTableImage\n",
    "# https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/data/imaug/gen_table_mask.py#L232\n",
    "\n",
    "pre_process_list = [{'PaddingTableImage': None}]\n",
    "preprocess_op = create_operators(pre_process_list)\n",
    "\n",
    "data = transform(data, preprocess_op)\n",
    "\n",
    "# 显示 PaddingTableImage 后的图像\n",
    "plt.subplot(1,3,3)\n",
    "plt.title('PaddingTableImage, shape:{}'.format(data['image'].shape))\n",
    "plt.imshow(data['image']/255)\n",
    "plt.show()\n",
    "\n",
    "# 定义完整的处理op列表\n",
    "pre_process_list = [\n",
    "    {'ResizeTableImage': {'max_len': args.table_max_len }},\n",
    "    {'NormalizeImage':{'scale':1./255., 'mean': [0.485, 0.456, 0.406],'std': [0.229, 0.224, 0.225], 'order': 'hwc'}},\n",
    "    {'PaddingTableImage': None},\n",
    "    {'ToCHWImage': None}\n",
    "] \n",
    "# 创建op列表\n",
    "preprocess_op = create_operators(pre_process_list)\n",
    "# 执行op列表\n",
    "data = {'image': img}\n",
    "data = transform(data, preprocess_op)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2021-12-26 19:56:07--  https://paddleocr.bj.bcebos.com/dygraph_v2.1/table/en_ppocr_mobile_v2.0_table_structure_train.tar\n",
      "Resolving paddleocr.bj.bcebos.com (paddleocr.bj.bcebos.com)... 182.61.200.229, 182.61.200.195, 2409:8c04:1001:1002:0:ff:b001:368a\n",
      "Connecting to paddleocr.bj.bcebos.com (paddleocr.bj.bcebos.com)|182.61.200.229|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 76103680 (73M) [application/x-tar]\n",
      "Saving to: ‘./pre_train/en_ppocr_mobile_v2.0_table_structure_train.tar.3’\n",
      "\n",
      "en_ppocr_mobile_v2. 100%[===================>]  72.58M  36.6MB/s    in 2.0s    \n",
      "\n",
      "2021-12-26 19:56:09 (36.6 MB/s) - ‘./pre_train/en_ppocr_mobile_v2.0_table_structure_train.tar.3’ saved [76103680/76103680]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 下载预训练模型\n",
    "! wget -P ./pre_train/ https://paddleocr.bj.bcebos.com/dygraph_v2.1/table/en_ppocr_mobile_v2.0_table_structure_train.tar && cd pre_train && tar xf en_ppocr_mobile_v2.0_table_structure_train.tar && cd ..\n",
    "# 下载的预训练模型\n",
    "import paddle\n",
    "\n",
    "# 读取预训练参数，并分为 backbone 参数和 head 参数\n",
    "pretrain_params = paddle.load('/home/aistudio/PaddleOCR/pre_train/en_ppocr_mobile_v2.0_table_structure_train/best_accuracy.pdparams')\n",
    "def filter_params(pretrain_params,prefix):\n",
    "    new_dict = {}\n",
    "    for k,v in pretrain_params.items():\n",
    "        if k.startswith(prefix):\n",
    "            new_dict[k.replace(prefix+'.','')] = v\n",
    "    return new_dict\n",
    "# 抽取参数\n",
    "backbone_dict = filter_params(pretrain_params,'backbone')\n",
    "head_dict = filter_params(pretrain_params,'head')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "#### 2.3.2 Backbone\n",
    "\n",
    "backbone和检测的backbone一致，均输出尺寸为输入图像 1/4,1/8,1/16和1/32 的四个特征图。相关backbone在文本检测章节已经介绍过了，这里不再赘述。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/modeling/backbones/det_mobilenet_v3.py\n",
    "\n",
    "from ppocr.modeling.backbones import build_backbone\n",
    "# 初始化 backbone\n",
    "backbone = build_backbone(dict(name='MobileNetV3',scale=1.0,model_name='large'),model_type='table')\n",
    "backbone.eval()\n",
    "# 加载 backbone 参数\n",
    "backbone.set_state_dict(backbone_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 24, 122, 122]\n",
      "[1, 40, 61, 61]\n",
      "[1, 112, 31, 31]\n",
      "[1, 960, 16, 16]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "x = np.expand_dims(data['image'],axis=0)\n",
    "x = paddle.to_tensor(x)\n",
    "backbone_out = backbone(x)\n",
    "for item in backbone_out:\n",
    "    print(item.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "#### 2.3.3 Head\n",
    "\n",
    "Head的输入为backbone输出的四个特征图，输出为表格结构和单元格坐标的预测结果\n",
    "\n",
    "输入参数含义为：\n",
    "|参数|含义|\n",
    "|---|---|\n",
    "|in_channels|输入特征图的通道数|\n",
    "|hidden_size|Attention里RNN模块的隐藏层单元|\n",
    "|max_elem_length|最大预测字符的数量|\n",
    "|in_max_len| 输入图像的尺寸|\n",
    "|loc_type|输出单元格坐标分支的输入<br>1：仅使用Attention后的隐藏层 <br>2：融合CNN部分+Attention部分|\n",
    "\n",
    "\n",
    "其代码如下"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/modeling/heads/table_att_head.py\n",
    "\n",
    "from paddle import nn\n",
    "import paddle.nn.functional as F\n",
    "from ppocr.modeling.heads.table_att_head import AttentionGRUCell\n",
    "\n",
    "class TableAttentionHead(nn.Layer):\n",
    "    def __init__(self,\n",
    "                 in_channels,\n",
    "                 hidden_size,\n",
    "                 loc_type=2,\n",
    "                 in_max_len=488,  # 输入图像的尺寸\n",
    "                 max_elem_length=800, # 输出的最大标签数量\n",
    "                 **kwargs):\n",
    "        super(TableAttentionHead, self).__init__()\n",
    "        self.input_size = in_channels[-1]\n",
    "        self.hidden_size = hidden_size\n",
    "        self.elem_num = 30\n",
    "        self.max_elem_length = max_elem_length\n",
    "\n",
    "        self.structure_attention_cell = AttentionGRUCell(\n",
    "            self.input_size, hidden_size, self.elem_num, use_gru=False)\n",
    "        self.structure_generator = nn.Linear(hidden_size, self.elem_num)\n",
    "        self.loc_type = loc_type\n",
    "        self.in_max_len = in_max_len\n",
    "        \n",
    "        # 坐标框回归分支\n",
    "        if self.loc_type == 1:\n",
    "            self.loc_generator = nn.Linear(hidden_size, 4)\n",
    "        else:\n",
    "            if self.in_max_len == 640:\n",
    "                # 640经过backbone后最后一个特征图为 20*20，因此这里输入的特征图大小为400\n",
    "                self.loc_fea_trans = nn.Linear(400, self.max_elem_length + 1)\n",
    "            elif self.in_max_len == 800:\n",
    "                # 800 经过backbone后最后一个特征图为 23*25，因此这里输入的特征图大小为625\n",
    "                self.loc_fea_trans = nn.Linear(625, self.max_elem_length + 1)\n",
    "            elif self.in_max_len == 488:\n",
    "                # 800 经过backbone后最后一个特征图为 16*16，因此这里输入的特征图大小为256\n",
    "                self.loc_fea_trans = nn.Linear(256, self.max_elem_length + 1)\n",
    "            self.loc_generator = nn.Linear(self.input_size + hidden_size, 4)\n",
    "\n",
    "    def _char_to_onehot(self, input_char, onehot_dim):\n",
    "        input_ont_hot = F.one_hot(input_char, onehot_dim)\n",
    "        return input_ont_hot\n",
    "\n",
    "    def forward(self, inputs, targets=None):\n",
    "        # 取出backbone输出的最小map\n",
    "        fea = inputs[-1]\n",
    "        if len(fea.shape) == 3:\n",
    "            pass\n",
    "        else:\n",
    "            # B,C,H,W reshape 为 B,C,H*W\n",
    "            last_shape = int(np.prod(fea.shape[2:])) \n",
    "            fea = paddle.reshape(fea, [fea.shape[0], fea.shape[1], last_shape])\n",
    "            # B,C,W 改为 B,W,C\n",
    "            fea = fea.transpose([0, 2, 1])\n",
    "        batch_size = fea.shape[0]\n",
    "\n",
    "        hidden = paddle.zeros((batch_size, self.hidden_size))\n",
    "        output_hiddens = []\n",
    "        if self.training and targets is not None:\n",
    "            structure = targets[0]\n",
    "            for i in range(self.max_elem_length + 1):\n",
    "                elem_onehots = self._char_to_onehot(\n",
    "                    structure[:, i], onehot_dim=self.elem_num)\n",
    "                (outputs, hidden), alpha = self.structure_attention_cell(\n",
    "                    hidden, fea, elem_onehots)\n",
    "                output_hiddens.append(paddle.unsqueeze(outputs, axis=1))\n",
    "            output = paddle.concat(output_hiddens, axis=1)\n",
    "            structure_probs = self.structure_generator(output)\n",
    "            if self.loc_type == 1:\n",
    "                loc_preds = self.loc_generator(output)\n",
    "                loc_preds = F.sigmoid(loc_preds)\n",
    "            else:\n",
    "                loc_fea = fea.transpose([0, 2, 1])\n",
    "                loc_fea = self.loc_fea_trans(loc_fea)\n",
    "                loc_fea = loc_fea.transpose([0, 2, 1])\n",
    "                loc_concat = paddle.concat([output, loc_fea], axis=2)\n",
    "                loc_preds = self.loc_generator(loc_concat)\n",
    "                loc_preds = F.sigmoid(loc_preds)\n",
    "        else:\n",
    "            temp_elem = paddle.zeros(shape=[batch_size], dtype=\"int32\")\n",
    "            structure_probs = None\n",
    "            loc_preds = None\n",
    "            elem_onehots = None\n",
    "            outputs = None\n",
    "            alpha = None\n",
    "            max_elem_length = paddle.to_tensor(self.max_elem_length)\n",
    "            i = 0\n",
    "            # Attention forward\n",
    "            while i < max_elem_length + 1:\n",
    "                elem_onehots = self._char_to_onehot(\n",
    "                    temp_elem, onehot_dim=self.elem_num)\n",
    "                (outputs, hidden), alpha = self.structure_attention_cell(\n",
    "                    hidden, fea, elem_onehots)\n",
    "                output_hiddens.append(paddle.unsqueeze(outputs, axis=1))\n",
    "                structure_probs_step = self.structure_generator(outputs)\n",
    "                temp_elem = structure_probs_step.argmax(axis=1, dtype=\"int32\")\n",
    "                i += 1\n",
    "\n",
    "            output = paddle.concat(output_hiddens, axis=1)\n",
    "            print('Attention output shape',output.shape)\n",
    "            # 表格结构分支\n",
    "            structure_probs = self.structure_generator(output)\n",
    "            structure_probs = F.softmax(structure_probs)\n",
    "\n",
    "            # 单元格坐标分支\n",
    "            if self.loc_type == 1:\n",
    "                loc_preds = self.loc_generator(output)\n",
    "                loc_preds = F.sigmoid(loc_preds)\n",
    "            else:\n",
    "                # B,W,C 改为 B,C,W\n",
    "                loc_fea = fea.transpose([0, 2, 1])\n",
    "\n",
    "                loc_fea = self.loc_fea_trans(loc_fea)\n",
    "                loc_fea = loc_fea.transpose([0, 2, 1])\n",
    "                loc_concat = paddle.concat([output, loc_fea], axis=2)\n",
    "                loc_preds = self.loc_generator(loc_concat)\n",
    "                loc_preds = F.sigmoid(loc_preds)\n",
    "        return {'structure_probs': structure_probs, 'loc_preds': loc_preds}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********** head forward shape **********\n",
      "Attention output shape [1, 801, 256]\n",
      "********** head out shape **********\n",
      "structure_probs [1, 801, 30]\n",
      "loc_preds [1, 801, 4]\n"
     ]
    }
   ],
   "source": [
    "# 初始化 head\n",
    "head = TableAttentionHead(in_channels=backbone.out_channels,hidden_size=256,loc_type=2)\n",
    "head.eval()\n",
    "# 加载 head 参数\n",
    "head.set_state_dict(head_dict)\n",
    "\n",
    "# 执行 head\n",
    "print('*'*10,'head forward shape','*'*10)\n",
    "head_out = head(backbone_out)\n",
    "print('*'*10,'head out shape','*'*10)\n",
    "\n",
    "# 打印 head 输出和对应的 shape\n",
    "for key in head_out:\n",
    "    print(key,head_out[key].shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "**后处理**\n",
    "\n",
    "后处理的字典文件为 ppocr/utils/dict/table_structure_dict.txt\n",
    "\n",
    "后处理解码思路：\n",
    "\n",
    "1. 对 structure_probs 进行CTC解码: 不要背景字符sos和eos，连续重复的字符只取一个\n",
    "2. 输出的坐标为归一化到0-1的值，对坐标乘上图片宽高，decode到图像空间"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['<html>', '<body>', '<table>', '<thead>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</thead>', '<tbody>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</tbody>', '</table>', '</body>', '</html>']\n",
      "[[32, 9, 104, 40], [232, 8, 307, 41], [429, 7, 500, 44], [559, 8, 656, 44], [715, 7, 780, 44], [37, 45, 99, 73], [190, 44, 342, 74], [432, 45, 502, 74], [565, 44, 655, 73], [712, 46, 777, 74], [30, 81, 101, 109], [202, 80, 337, 110], [433, 81, 503, 111], [578, 83, 638, 110], [698, 82, 790, 110], [31, 119, 104, 148], [197, 116, 347, 147], [443, 117, 492, 148], [572, 118, 643, 147], [698, 118, 797, 147], [35, 154, 101, 183], [199, 152, 342, 184], [436, 154, 501, 184], [558, 155, 670, 184], [701, 153, 801, 183], [40, 188, 93, 217], [217, 187, 314, 219], [417, 187, 516, 218], [556, 187, 667, 217], [716, 188, 772, 216], [48, 227, 98, 255], [223, 224, 313, 256], [429, 226, 500, 256], [558, 226, 667, 256], [722, 225, 772, 254], [47, 262, 99, 291], [217, 260, 313, 293], [439, 261, 506, 293], [557, 260, 678, 292], [722, 261, 777, 290], [36, 295, 95, 324], [210, 296, 317, 326], [443, 296, 499, 326], [547, 296, 681, 326], [701, 300, 767, 328], [42, 332, 99, 361], [191, 330, 350, 360], [451, 331, 493, 361], [557, 331, 683, 361], [717, 335, 785, 362], [45, 369, 97, 396], [186, 367, 355, 400], [444, 369, 504, 398], [581, 369, 640, 397], [723, 368, 773, 396], [37, 404, 95, 431], [192, 404, 351, 433], [438, 404, 511, 432], [560, 405, 658, 432], [723, 404, 775, 431], [46, 444, 104, 469], [188, 441, 346, 470], [444, 444, 496, 471], [544, 445, 681, 471], [721, 444, 773, 470], [35, 478, 104, 503], [190, 475, 345, 505], [436, 477, 504, 504], [559, 476, 662, 505], [712, 477, 778, 504]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7faad993b2d0>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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6VnXvtfZiV0E278XXFJUhVYG5Gr/G8f2xgDJurhaLBWZTSyfFD1s0aIglYj86g+1IxBhyZNSXNNKj0aiEKdGbcti6IB2j/SOTw0nmaqk0RZjwPcZFc38ks2oMw1BjeI3S7B6YkSMSk2ZCNBZt9jvqnsbx4ftAY7IriTTuB6pHsa30YDwePyRJ8kORb7tu0+EY1VgmfqGnWC3Q0VJpN8Ccwjg14yahuvDUjedwAJvF3O4e9zsXlb1WGfTWFI4VXZpqeIOqhFTGTk0eUY2xo5FPcLQlA0JT5cc4B45E0oWvqH2nrnn1PfX1kfRzPHHojY5hEcxlYHUmJoU9/PDDmDJlCiZNmoS5c+eKO1/VIWSGX3/9dVx88cUYOHAgFi1aJCFZrHwFNMa/klFmSMTcuXNRXl6eUh0KaAj5cLvdCIVCAn4JksxmM7p164Yrf3VlyjO1VViBalSp7wEH518Yk+hV9jWTp/HdyqH6O914qq85ZgR06hpNd43WFLU9kWhE7huJROB2uxEIBPDUU0/h448/htfrxfTp05GTkyNVeFgliID0k08+wYIFC7B7924kk0k8++yzB3k+GQqpVsVhqNMll1yCl19+GdOmTcP//M//SBjlxo0b8eKLL2Lr1q045phjcPLJJ2PcuIbzK9WqY0BjGAmQiv2+zbowjpsRmHMMVQ9Wc+FkTUm7QqpMZiN7zoEEGmPljBVJ0lX3aIkcbqwRw08mTJiAn/3sZ7j88stlADRNw3vvvYd7770Xs2bNQllZmSSoXHXVVZg1axbuuOMO3HPPPQCA6upqyWZPJpOora2Fy+WSxJqioiKMHz9eEmQYU8x2MAvdZrNhzZo1ePvtt3H66afjqaeeQvfu3QE0xMwxQYbsqxoCo7rIjmTitER4HzU+Tx1PKiC1bT9WME5Rw5wooXBIkik5H2j1832KmhjG66mKcMqUKQgEAsjKykJ+fj5isRj+/ve/o2vXrhg9enRKebh4PI4BAwZg/PjxyMnJkUTNm2++GY888ggGDx6Ms88+O4X5IdPDEC3GmlP5MgdjwYIFuPHGG3HttdemxFLyn93WmPzUVvPzhyzGUmQAZL2p77UGgDvU+KhgUq14YjabsX79eixevBj79+/HbbfdhhEjRsBkMqXkPLCd/G1eXh46deqEoqIiKdmp6mK2iaBa3Sj/8Ic/oKqqCpdddhlKS0ulBNu8efOwZs0ajBgxAqeeeip0vSFpa8eOHXjppZfQpUsX4FeNz3Sk+863Ee53qs40VghRSZGWCPdBNT6b40MQxeTgtWvX4tVXX0V1dTWuu+469O7dOwUEmc1m/OEPf0BtbS169uyJ3/zmN3C73Qd5u/kMTOasrq7GK6+8gk8//VTGixVUNm3ahBUrVqBTp074yU9+Ip5et9uNX//61zj22GNx1VVXwWazoU+fPjj33HPRpUsXSXRmBRgm/nJfjsViOP/887Fw4UKMHDkS/fv3BwApjehwOLB582Z8+eWXGD16tCSCsppUhw4d8Itf/AKDBw2WvjxcPUW9qe53RlAOtG1ceTqhAcw+1HUdbrcbt9xyC5LJJN59913cfffd6N69OyZNmoS8vDzxvn3yySd4++23EQgE0KVLF0yaNAl9+vSR56XXjs9qND6IS1gsg/OFeqB79+6455578NZbb+G8885Dv379BJgzJFgtb5lOWns/SRfRoeottaJgS6VdAXOKGqqibvRNWStA2yeHaZqGr7/+WsouqfHlqsuQYJuTw+12IycnBzk5ORJzzRJMfAbVGCktLcXo0aNx8803o6io6CCWWdO0lGTTd999F6tWrQIAeDwNQYJsDxkfuqjY3rZe9E15MtREnUON549ZjGMSCASkSgTnHcuLhcNhBAIBsc6Z9FRfXy+lD9XN8IEHHkhxhYdCIWzcuBGnnXYaLrvsMpnPZB+sViuCwSBqamoANLpbXS4Xxo0bhz/+8Y/STtV9ripcgh8mevIsgOzs7JSwJTV0KSNHLk1tEGr4WLoY5CMJDWyJEGjxHqxGlUwm8cUXX+CBBx7AiBEj8Le//Q1FRUWorKwUMMUa/LreUIo2OztbDMREIoHq6moB+Szhl0gkkJOTA7vdjmg0KmCMz3fiiSfizjvvxDHHHJNCTmzfvh0/+9nPcOutt4p+Xb9+Pb744gtJ0Kd8l6A83VjxtUp2pPtOS6+vzgsa0X6/P6Viz9tvv40HHngAF110Efr06YNYLIb9+/cjFAohJycHubm5uOCCC/CLX/wCCxcuxCmnnIKhQ4cKE6qy+eo+VldXhyVLluCNN95IMQhoJCSTSWzfvh3PPvusJNC5XC4MHToUTqcTb775Jl566SWMGTNG7sWqJrreWFqSpRWBhvKzXq8XZrMZy5cvx4cffihzyGq1wuv1IhwOw+/34+uvv5Zk0erqathsNvTq1QunnXbaYfe1sc9V4Ro16lB+9l0Jz5hgH1ZWViISiSArKwvZ2dn46U9/it/97ndIJBIYMWIE8vLypN/mzZuH6dOn47rrrsM111wj59GEQiGpdU/hfqXuRSRzTCYTiouLUVRUJOtTLVLgdDrRt29fdO/eXQx2YyJyW1SzaQ5vqnr120q7AubNATPjBtPcRG2yc7QWfKcJmTt3Lt5//32UlZVhzJgxsFqtqKmpgclkSrHuQqGQlIzSdR1XXHEFhg0bhmHDhgmLyJqzVBIs4ZRIJFBVVYVoNIrs7OyDABqfmxYtNzmym2oVGJagMrrB0vVbW4HhdECA7xsr7jTVprYItWlPki6e1Ch00Uej0ZTNxWw245lnnsF7770Hn88n9ap5QEZtba2whieddBImTZokis5kMmHJkiVYuHAhevXqhUmTJglbzrrRKhumaQ2lFFmpgKyVcXxUFk9l3PgdVjdKJpOor68H0MgccT40Bcx/yPPgSEXVhyqAMwJzvm80jtXP1P8PfePGPw/1GzV0hRsvmcFoNIqamhpEIhHk5+fDZrPhgw8+wLx585BIJOBwOOSQFdbH37NnDyorKxEIBHDjjTdKWTxWy8rLy8PTTz8NoHGz9Pv98Hg80obi4mJpF3Uly7SpjGHnzp1hNpvTVlRoi/loJGLSjaU63qqObbFuT6NyuU4jkQgCgQACgQDcbjeSySSWLVuGl156Ce+++y7i8TgWL16M3//+96irq4PP50MwGJRDhwKBAHbu3Ald13HDDTfgwgsvxG9/+9sUw4ysNwF6Tk5OA/s8eHBK+UdN0/Dvf/8b8+fPR79+/XDppZciFAohPz8fVqsVq1evxhtvvIFp06Zh2LBhwrbyHmq1KNZi93g8eOONN/DRRx+hX79+GDlypOyj/A1Lii5btgzbtm3D+eefLwcZsXJLTk6OeKeb6+umxqSpNah6DdMxu206575pCk/p5lkAS5cuxcKFC6XUX2FhIbZt2wYAmDJlCrp37y4VeRYvXgyr1YrXXntN9iu/34+ePXti4sSJ6Nevn5yHwco3HDfW/V6wYAFsNhtuvfVWjB49WvYEFWifeOKJmDZtGjwez0EeY9Uoa3zI1unDdOOZLixJ/ftIjKp2A8ybsiCNIQ7ppLmOaUoOt7Pef/99zJ07F4888ghKSkqE9eN1yKKHw2EEg0EpBdWtWzeUlJQIM0CXn1rvnEqL5SKTyaRYkkZQy42EFioPgmGYgHoggxE0qUxpW1rj6TYWNfaqJQvjSMb0+ypqf0myrGKTsSa9OnacR19++SWWLVuGmpoaUeSshON0OmX+eDwe2Gw2+Hw+8f489thjmD9/Ph544AFYrVZUVlaivLwcdrsd+fn56NChg4wXXcFqIq+6iajAQB1rftcI3nmCH9BY+xyAxBKm66Mf8hz4tmIEa0DqpqAagOk+V79zuNKS3xH4mEymlEOAwuEwOnTogIKCAtl4ly9fjhdffBFmsxmFhYVymBA/j0Qi8Pl8qK2txfvvvy8JrQTmXbp0SWHRdF0XoOnxeBCNRrF9+3aUlJQgEAjA6/Xi66+/RjAYxFdffYXKykp4PB5EIhFs2LChyVrvR4M1b8rT2JQcqo2ql4rhhQRUJJz27duHt99+G+Xl5SgoKEA8HsfMmTMBNLCTBEe8V+fOnZFMJrF69WqUlJTgggsuQNeuXQ9i90kw5ObmYsKECWmfq6CgAPPnz0efPn1w8803y2dVVVVYsmQJli5dinnz5qUkvLpcLjklFYDsi9Sh77zzDhYsWIDHHnsMEydOTLmneip3dnY2li1bhttuuw0mkwlVVVVyIievezh9rT6XcTyNHq2mrtdWc04F5kBq6eXly5djzpw5ACCGa2lpKSwWC1atWoUlS5bI74qLiyW07PXXXwfQUGXP6/XihBNOQL9+/WSe8UAxNTY9Ho9j2bJl8Hg8uOSSS+ByuVBXV4d4PA6/398Q5viNJ23YsGEwm83Yv3+/eIkZE+92u9GhQ4e0z9oWeIfriHufeq8jAeftBpirkm6DT7fJHKk1ciRiPJKXBe65oGhF9+zZE5s2bcLUqVOxf/9+5OTkwOPxIBwOIxQKIRAIoFevXnjhhRcEYBljB+lK1PXG4vRqPVi6mjSt4VhisjtquICqlAjyjEmV6nVbU5ra7DleRkbUOK7NXe+HKOlYE1UIOmiQcc5omobx48ejV69e0DRNjh7funUrpk+fjptuugm9evVCVVUVevfujZycHFxyySWorq5GJBKRcp5PPPEEPvroI5mfNOyeffZZdOrUSU7o4+YdiUSg67qEGRjje9OJ0fuTlZWV4jnhnFU9AhlpmaQzYg8FuNPp0rYSstTqiZTxeBw33ngjTCYTnnzySQl5iMfj8Pl8MJlMGDt2LC6//HIADZu70+mE1WrFhx9+iDlz5qCgoADXXHONhAVSt5AkYc5SMpmU7zidTnz22WeYPHmyuOB1Xce2bdtgsVgwf/58bNy4UVjW6upqrFu3DoMGDWqz/kkn6rioa+tQrLhRl7QEmAOQeugkjdQDlsaMGYPZs2dLOIPJZMIdd9yB5cuX44orrhBwSzIqNzcXiUQCNTU1KC0tFWY5nfHO94zkBL1n1Gnq88ybNw9vvvkmevbsiddeey2lkht1EX/D2ulMDlZDWUgMkAxRE4x1XZezI9gPubm5optbS081ZTyrr78LUfVzIBCA2WwWI7aiogJmsxmXXnopzjnnHASDQbjdbtkL3nvvPcydOxf9+vXDH//4RwmFTCQScLvd2LNnD37/+99LfDnzztTzLBhu5vV6kZubC6vVipycHMyaNQvPPfccHA6HGFucmwxVU5/B4XBg3759yMvLw8KFC9ukr9Ktq+bG7EgY+nYHzI2LFEhNElA/42T6NmwaJwtdqzU1NZKICQCvvfYannjiCaxYsQJmsxklJSW488478fzzz6OoqEjAc1VVFcrLyzFgwACMGTMGV199NRwOB0KhEBwOh1RDicfjcLlccsQxn4NMha7rmD17NjZs2ACHw4GqqipREGwvADlNc9OmTaitrZVT35gUyphIlelJd+peWybWqfHN6hgZEz75t/reDx2MNyWadvBhS2SRNa0hFCoSichcGT58OEaMGCHf1XUda9euxezZszFu3DgMHjxYjK9EIoGXXnoJp556KqZMmSIn+NGNT0bpP//5D/76178iGAzKxqEacB06dEAymcRdd92FOXPmCCuvupJVA1BNKDOZGg772LRpE5544glps8VikTn7XTJFPyRR1xJZqHSgvSWGVGu3Sz3J8LPPPsP//u//4sUXXwQArFmzBoWFhTCbzdi3bx9OOeUU/Otf/8KQIUMEUKtSXFyM2bNno7S0FNdddx2AVD2m6zp8Pp9s/CRVmGjfsWNHXHPNNejatasA/pkzZ2Lnzp046aST8Mtf/lIO1dq7dy++/vrrg2LM/X6/eCXVxFZ1vRjZspb2+aEMLeP7TenwltzLmJRrNjecUr1p0ybcfffd2Lp1K4CG/SYrK0v2mM8//xwmkwmLFy/Gli1b4HA4JJxOBfY82CcQCGDy5Mm4/vrrRYedeOKJ0icWi0UIJ85Pi8WCffv2wefzYcGCBRg7diwqKyuxZs0aWCwWFBcX49///jduu+02Mf54z3A4LGeOcA+sqanBq6++itdff11YV+q1W2+9FcuXL0ckEoHNZoNCypH9AAAgAElEQVTH48HXX3+NHTt2yLOStOjSpQvefvvtQ/ZtU6Iy5ECqtyvdeBo/b2txOp2iy/1+v7DQ48aNw/jx4wGkGll5eXlYsWIFhgwZgvPOO0+eUW333XffLePL5E8eLEVQvnjxYsyYMQNLly7Fn//8Z9jtdpx11lkoKSkRQpL4h4m9qrc1NzcXDocDwWAQ1dXVbdY/6cbAaBgCjYmrzKk5nLFrd8D8cOTbTFKW5QFSO5Cgmcp83bp1WLp0KTRNE7AeDodRU1ODUCgkbKLf7xfrsqCgAOecc85BLKEKburq6uQIaX7PZrNh+PDh2LdvH/x+P6qrq6Xsl2pAxONxOJ1ORKNReDwe5OfnY9CgQVJWDIBshIlEQuqYtyfAmwFfB4sa8qOKcYPnBkpAzdcqKGDcJJC66ZpMJvTt2xdnnXWWKMSKigrk5+cLeO/UqROeeeYZmXdGcE4lFI/HsW/fvhQQyNhQKl8CdMZtJhIJ1NbWCuvOa7M0HttrPOyiPc3d9iqH6h/OraaAXlv1MVlQGpjBYBB79+5Fv379oOs6qqursXnzZkkwvvHGGzFmzBgADezdnj17UF9fD7vdDqfTic8//xzhcBj79+/HsmXL0KFDBwQCAUQiEXTr1g1dunRJqezFNcL10q1bN/z85z+XmHNN07B06VIsWrQIgwcPxhlnnCG/3bdvH5544gmEw+GUZ1KTSY0Ai39TjKEJR9rH6r3U94z64UiExBBZ40gkgpqaGnz11VeSS7Jx40b4fD4kk0n069cPFosFNTU12Lt3L2KxGNxuN6qqqlBbW4tYLIbS0lLk5OQgEokgFAqhpqZG9lqTyYTKykpEo1EJfVBrQJPAcjgcGDp0KMrLy2Wse/XqJXpo9+7dCIUaqlap7L/P5xNjiuPidDqxZs0a+P1+8dhxP164cCE2bdqEjh07Ijs7Wwi1/v3748CBAzJ3t2zZgvXr1wNI3VuPRFRiEWgcS2NuWFuLcd1zL+Fp4QTFn332mVRY4emobrcba9euRTgcRlVVFTZs2IBgMCjtd7vd+PrrrwFA8BMxjNr/ALBu3TosWrRIyEUA6NatG8rKytJ69sm+8/9oNIo9e/agf//+bZL42RJRiSmj9+pw5HsNzL+N1NTUICcnR2rgElQQ0NC9RfcrY5ui0SiuuOIKnHvuuZJkF4lEsHjxYrzyyit4/PHHcdxxxwkTw0lINyHF6/WmxJoRdL/yyiuor68X1pvJUolEQo4UttvtqK+vF/cw0MAiZWU1HFemTmL1nrTmGJJwtNjp78J9/n2UdJs6cLBXg5VXTCaTlDhTmRbWiiYgIitOdoGAm+Dl4YcfxujRo3HWWWfJpsCENwIX3otJz7qu4+KLL8b1118vczMQCAhbxudQvV5kYYLBIP785z+jtrZWPqeRwLn+YziF7ruWdEbfdyU+nw+JRAJ5eXkYMGAA7rnnHthsNuTl5cFqtWLGjBl46KGHcPrpp+Occ86R39XV1eGpp57Ca6+9BrvdjuLiYlRWVko1oV/9qqGGYSKRQH5+Pq6++mr8+te/lnwKn88nhymRQfd6vSkMFwBJelbzG7gn2O12SXyjMFwmXck7gk8KD3Hi/G5NaQ1QTra5oqICsVgMHTt2RJ8+fXDPPfegtrYWhYWFyM7OxjPPPIN77rkHP/nJT/Dggw/K87NKjtPpxIcffojbb78dADBjxgwMHDgQmzdvhsPhQMeOHVNY8RdeeEFYbjV8hTrK4XAgNzcXNpsNM2fOxLp16zB16lQUFRVJGIrJZEJ9fb0QakCjB041Nhh+St3EOQE0xoqXlpbiiSeewIknnoiKigrZayORiMQ6T506FYsWLToIVLaWpBtLYyhvW9xTFbVvrVYrcnNzEQ6H8fDDD+O1115DLBaTOa5pGurr61FTU4OqqiopIqDrjYUwWFWM/cUx9vl8Ep5GrxoJHRXgUtR9TA3zJTj/v//7P7zyyiu47LLL8Ktf/eqo4Qvj/v2DCGVpTlqzo2mhE3iEQiGxDpnM8v777wMARowYITG41dXV6NevX0oMN0FHeXk5bDabAGhen4qGJb6YWLFx40bU1dVJCUWPx4Ps7OwUN00oFEoJg2FGMxlHgv5NmzahpqYmhUHt2bMnysrKUp6ZIQvNVURpTWnqHhlQnl6MyghoTI5kyAhdv1RwQCMrTsNS/Y664akHQeh6Q+3iTz/9FMcccwyAxsRM3pPzmAdBABAmpW/fvujfv3+LGFiy+FSmvXv3TmHI1TCYjDeldcXI7H7XfamWMuOpoyNHjpQ5u3XrVmRlZWHUqFEYN26clERU5y9D9SKRCAoLC1FWVoZAIIDdu3eLvmTYCv8GGucd557NZsOOHTvwzjvvoEuXLhKesGXLFlitVqxbtw7vv/++rJdt27ahoqJCvJsUdV6T6CAAVHN8VNd2a0k61vzbCvUI9xSn04lhw4bJGP33v/+F1+vF2LFjce6556J///4pwJRJsxdffDHWrl0rnjS73Y4zzzxT+qO6uhp2ux02mw2nnnrqIcNRdV3Hli1b0LFjR/Tt21c8KepvdF2XGHE+i8lkQnV1NXw+H/Lz81FTU4M1a9bAZrPB5XJJDDQA8RQyBKqmpkYMMeaR0QDQdR0ul6tVCa2mPC1HS1TPbTo2nWPGMs8kh2KxGOx2uwBlYhN1j1Kfj8C/trYW//nPf3DgwAGMHTtWPGIc00gkgq1btyInJ0eqirH4Bf/XNA1btmzB8uXLMXToUHn/aInROD9caffAPJ1boDUkNzc3pSQQ4+N48A8ATJo0CRdccAFmzZqFBx98EM8//zxCoZC0iQDIZDJh0KBB6N+/Py699FKceeaZ+Otf/yqsNKtZEJTH43Hs3bsXd911F5YtW4bc3FyZgLTSGarC5Aa6+qmIXC5XSoknLgI1KeWmm27C9ddfDyheHePxsEcD8GTCEhqlJX1BkMD5oGmalHjj57yWruuora1NAWF06/l8PonDU13GDocjJRmTc41ghCU5vV4vAEhCHRkM3pvGA9DoDiWbT8Ci5ou43W6Zt2TSCZ4Ot48y0rwczQ2fGzaZUTXZ/a233sLNN9+M448/Ho899hh69+4tB88ADXr62muvxSWXXCJGo67ryMrKgtvtlvVAjxEPRAGA7OxsuN1uCW3wer3Izs7GJ598gt/85jcCIpxOp4C4uXPnYv78+aLX4/E4KisrcfLJJ6c8kzrf1XhbAhQyqjxLAGi/xqXJZEIwGEROTo4QVqwDbTKZ8N577+Haa69Fx44dcc8992DAgAECynVdFw/Yf/7zH6xduxb3338/3nvvPUybNg1lZWWYMWMGvF6v6C2Oj+rB5bU4R5iEuWTJEkyfPh19+vTBTTfdlNLudIY8dRrPEOE8mj17Nh544AFcddVVOP/88/HWW2/JXNI0DV6vFzt27MC1114ruQMsvcezSZLJJHbt2iVedl1PrWTSWtIWhtfhCEOXkskkgsGghJFdf/31uOyyy6TcbTweR25uLl599VXceeedGDhwIGbNmoVQKCR6Pzs7G1VVVRg/frzgJQAC2DnGt956K0aNGoW//OUveP755+H3++H3++H1euH3+/Hggw/i8ssvR0lJSQrhqbLwrBhDgvVoSWvgq3YPzCmtPTnJPPM4WcbW2e12VFRUYOXKlejZsydGjx6Nnj17ori4WBYqF7N6CqPT6URubi62bt2Kbt26STF81f1CtppsZpcuXdCrVy9kZWWJO8flcuHzzz/Hzp074XK5cNxxx8HpdCIYDIrC9Hg8UnKICXrczDgx6dpVrTbGfhEIHQ1pD4xAe5KWsMPc+MlWqECc76kMHfMljHGxamw4DxACGty66j2SyaQcCEGDwJjIy3aqf7MtKltAxanGwRPU830AAmZko84c9tmq0hJGrq10gqpv1PjR5cuXY9WqVejUqRNGjRolMeeqztI0Dd26dZPXNO7UylQMQwEgFSFYI5nxsZz7FRUV0DQN3bt3h91ul8Nn4vE4qqurUVpaik6dOkmIRVVVFSorK1FXV5fyTCopY5z7aohLW+g741i2xj0YtqOGXgLAokWLsHjxYhQUFOCss87C6NGjAQBffvkl1qxZI7oiEAigZ8+eiMfjyMrKwoABA9C7d2/U19fj5ZdfxjXXXAMAUhsdgMQZkxklIJ8/fz7q6+vh9XqxaNEiLF26FH6/H0uWLJETrTnOQCPIy8/Px4knnogOHTrINbdv344vvvgCX375Jbp164bhw4dLWT3OH+7J8XgcPXv2REFBgXi94/G4GBV+vx8VFRUpITOtAcyb8hQcLVGjAYgtzGYzBg8ejD59+qS0l2tJ0zTk5+eje/fuKZ4Mk8kk5Uvp+ede4HQ6MX/+fKxatQolJSU4+eSTMWjQIHzwwQficTGZGqojffrpp7j00ktTSCrOWbZZrVZ2tOXbjl+7B+aqu54bd2tUFeDAclHn5eXJfdasWYPnn38ey5cvl+/u27dPJizZbSr1cDgsDDpjpowHKqhx6mazGaWlpfj73/8u7aEyXLhwIVavXo3a2lqMGTMG5557bkosJJD+iGv1MzX+jTFb/JssUVuL0dORYT3TS0usawJtnsTJsaWnRI3303Ud+fn5Ar75PbPZDLfbDb/fL4lyPBSERh4AYSGYT2EE/yxHl0wm8cEHHyA3N1c8N+pzqHGj/J8uR7/fj5UrV2LAgAHCSqogx5hUlZk3LZOWzCXVmEr3+7boa5XZZOWVVatW4eKLL0ZhYSHuuOMOFBcXY9asWUgmk6iqqkJWVhbGjBmDfv36YcWKFdiwYYMYc5z3ZMa46WdnZ2PIkCHo06dPSigMGU4AmDx5Mjp16oSrrroqJRTjjjvuwPTp03HLLbdIGUdd1xGNRvHggw8iFAphAzbI9zmXaUjKKcuA5Crx96quPpy45ObGs7W9nvSOVVVV4YMPPsCuXbtgs9mwZMkSnHTSSVixYgXq6urwzDPPwO/3Y9euXdiyZQsikQhKSkpw3333oaysDI8//jjGjh2L7t27Y/bs2di4cSMef/xxPPjgg9A0DR6PB8cddxxOOOEEAcf0cmiahpdffhlvvvkmotEoOnbsKKUrt2zZghdffBE+nw8AJHfA6/XiwIEDCAaDGDJkCLp16ybnL1gsFqxbtw6vv/46TjvtNPz973+Hrut44YUXUsIq6DHIz8/HBRdcgIEDBwp45/whYUeQyN8djrR0zJoKDWwrIe5hXg8rpQCNhEowGMSCBQvk0LpksqFevNlsxgcffIBYLIatW7dizpw5coIn8UZ5eTmqqqpkD1Fz4F544QUMHDhQTi9PJpPYu3eveHFJhk6cOBHLli1DKBTCsGHD0LFjRzGQtm3bhkWLFiEQCODyyy/HSSed1CZloFsq6vgdKUBv98C8rUTXdbHew+FwinV26qmnYvjw4QAgoFotJwekVhpQC+STyVFjzAOBAFwuV0ptVb/fnwJ2GO4yceJE/OxnP8NTTz0Fp9MpxwurAFxNWGLbuBBUQC6lib4ZZU501sU+WhM3I43SUraEAIBzjcw35x2vQ+bHarUiOzv7ICPNZDLB6XTKZywtpuYeUKlxXTidzpRNjEbnP//5TznghfdR8zbU2HaGDDCZqq6uTioa0VBksqkxnletDJOR76cQCBEsTZs2DbFYDBUVFbjhhhsk7MDv9yMcDiM7OxsvvvgiysrK8Oyzz+Lpp5+WuUcgTFY0Pz8fPp8PVqsV1113HW677TZkZ2cfdABMPB7H7bffnrK+1FAq5vSoa8But+PWW29FNBrF/bg/5Xk4v1kr22KxpCTgM2xRNabbG0Ghticej6OmpgbPP/885s2bB7PZjI8//hiDBw8G0FC5ZMqUKaiqqsIdd9yBWbNmibfN6XRi7dq1mDZtGvr06YOysjJomoZjjz0WjzzyCIqKilBXVwdN0zB16lQcf/zxsq+RdNi7dy8eeughTJs2TY67f+qpp7B8+XIMHz4cL774IoLBIPbv349QKITCwkI4nU7U1dUhKytL4vzVU7WHDx+OkpISORiIz6om4iYSCXg8HmzatAlTpkwB0FCcIRaLSXUY7vs0CKSq2w8gSd1oYBC/MEGTZ6X84x//wJtvvinjxSpbHMP//ve/uP7662Vf8Xq9Yty4XC7BH8RJmqbh6aefTimlyn7mnsAQlT/84Q8YNmwY3nzzTTz22GPo2LGjVAD75z//ibvuugs///nP8eijj0oOwfcZ3/yogXldXZ1YflSgDPVg1r3ZbJaKAsDBBzgwpjuZTGLAgAG45ZZbEIvF8PDDD2PUqFE48cQTpe40j3xmnVQ1zpfKu7a2FitWrMDMmTPhdrvh8/lS6neqbaBFajKZMHDgQJx22mnSlnTgTg2/oeI6mpZlRlomajIZAGEzwuGwsIH0ADEkimwS0AhsLRYLAoGAJBvbbDZ4vV45HpkKk0k9anUVXW84PZG5D1arFT169JAkvqaSiml4EuQw837BggWitNm+lBKfimY6WpVEMtJ6ooLYgoIC/PSnP8Unn3wCr9eL0aNHo2PHjnLiJI9dLykpQX19vZzsd9lll6WUcOP3XS4Xli1bhs2bN6Ourk509yuvvIJ169YJ6Lbb7aJ3Dxw4kGIY/utf/0IikcB7770Hv9+PvLw8mEwm+P1+aJrWALh/1/g89913H4YMGYITTjgB+fn5AjIZakGih+8DqedxtBehIc+Y7ry8PJx00kli/NOrxZDP8ePHo6qqChdccAFycnKwfft2LFiwAPv37wfQ6JEg4Oe1f/GLX6C8vBxZWVkYPHhwShy5pml49dVX8dFHH+GYY47BqFGjEI/HMX/+fBw4cABTpkzB6NGjZa9maBONIxryKrFA8oknGMfjcTk1Wz1yXiUU7HY7xo0bJ6EXTHjX9YaKIcFgEIsXL8a+ffuOWjm+thAh9L6ZmsFgUDz7NpsNZ555JqxWq5wNQNKFZMv27duxaNEidOnSBaeddpp4q+x2u3htu3TpgmOOOUawBvcW7lFq+BTXCMeX57jwtF+SmLxWXV0damtrATRUJFOv8X2VHzUwr62tRTKZFHc8j20myDDGxxpBB1k8siWDBw/G4MGD8dBDD2HKlCn45S9/ieHDhwsrryppNS6YSsNms6GoqAi7du3ClClT4Ha74XK54PP5hMkBGq1Km80Gp9OJWCyGCRMmYMSIESmJK2wjhRuZ6lr+vk/g77sY3ZtUeqpwQ+FnPB1RBbL00MRiMYmPDAQCKWNMgy0ajaK2thYFBQUIBAJSEk4F5QT/AMSVybbyaORLLrkEU6dOFcDFEqFsCwGRCr7Zfr/fj/r6emkXK8bout6gzH+0mumHKTTOfD4fjj32WAwdOhRPPvkkBg8ejFmzZiEnJwf79u2D0+kU9hMAysvLYTab0a9fP8yePRvxeBzBYFDK3cViMdTU1OC+++7Dli1b4PF4YLfbUVtbi0WLFuG5556T8Csao2TrVE8Mdeq///1vfPDBBylJicy7MALzX/3qV8LGEizwsDfW4LZYLAdVAGlvorYpOzsbV199NX7729/C7XbDarVKAuDIkSNx+umnC4sZDocxY8YMPP7449A0DcXFxSgvL08J7yEBdv/990txhWAwCJ/Ph5ycHOi6jsrKSsycORPr16/HU089BbPZjHfffRfXXHMNBg0ahJdffhl5eXkIBAJCGJCVjUajyMnJEfLK6XQikUggHA7D4/EASK10RUOM4RrUjZFIBGVlZZgyZQoGDRp0ELMLQMIA33jjjYNCSL/PYgxtVYlCh8OBcePGSQlTrheVCX/jjTewfPly9OnTB7NmzZL8JfXsAbX/w+GwkEj0zAYCATlLgwadGg6i6zpyc3Ph8Xjk1FGGDzOfzuv1wufzpUQnfF/lR7v9mc1mcTvyNZU2rWgCIipYWtH8PhU2QQ3QeFRvIpFAXV2d1EL3er0IBAJ49tlnsWvXLtx9990HKWtN03D77bdj586dotQ4wRi/qIYL2O12bNy4EQsWLEB5eTlqa2ulRi9ZTVXpEjDRzaoekZ2R9iuch2p1B44t41mpxEwmEzp06IAvvvgC9957L4qKihAOh3HyySfjwgsvlFhvp9OJjz76CP/85z9RVlaGESNGCIsRiURQVVUlgFllzNS8DLUWMBPHVGOWbeVrNRwmKyvroDq0ZEON4EVNMM3I9090XZeN3OPxSNjd1KlT5RCaRCKB4uLilN8ADV4hhrcADXOHLBvQoA8LCwtRVFSUwpYlEgmMHTtW3On0gmqahtzcXNjtdixcuBCrVq2C1+tF9+7dsXr1apxyyikYNGgQ5s6di5qaGjzwwAMCyP6Kv8p9r7/+egwePBjFxcXC0mqallJ9BEitvcx2tSdwnq6aV3Z2NgBIVQ6r1YqOHTuKIbR582Y89thjYtD/v//3/1BdXY3CwkLRFzt37sTcuXPhdDoxefJkFBUViQHvcrlk7b/88stYtmwZunfvjrPPPhunnHKKALPKykosXboU9957rxANJKKsVivq6uqg67ocmMbDb6gXWV+d+pKgkoYFWW9d12Gz2bBhwwY8/vjj6NKli4A+egM9Ho94s40ezB+asIgEDSyGtgCNIZX0NnE9OhwOMYTYr7m5uXJNNambBEwgEBDmnWuaOl4ldIhVSKaqRQ0YfVBVVYUDBw7IPsQ98/sqP1pgzsL5QCOTqCbQEfjyczJ96omFQONEUk+gAhqOtc3JyZGkO6AB8PzjH//AypUrBZibzWbZUOLxeEN5QzSGK6hlf9LF2v7jH//A8uXL4fP5pEIL0LgQ1E1AZWTb0+bwY5Z0SV3pqpKQNaDRSFdjTU0N6uvrkZWVhaysLJhMDQcBJZNJzJs3T5iHYDCIUaNGoaSkBD169IDD4cAbb7yBhx56CNOnT0evXr3ktDun04mCggKZL3yfmxuNgkAgAKCxQgXXAFkptawVjVAqbVXZqqylChCa66eMfH+EektNHA6Hw7jxxhsBNFbkIekRDofloBsCMp6+SNKBxINaJYuJhEDDxn7BBRfgwgsvFDKCZeCAhvXk9XqxatUqTJo0CSUlJVi9ejUuuugi/OY3v0FFRQXeeecd3HTTTTKXVWA+bdo0ARVAozHg9XpT8nvozVJjzNuTEIBxvyHZxHAQlcRhvfiFCxdi9uzZ0HUdDz30EK677joZG1Yj27JlC2bOnInevXtj8uTJB53OabVasW3bNsyaNQurV6/GnDlz5Lh3oKF++KBBg/DFF1/gsccek5Cl3NxcOWCKREFBQQF69OiBfv36pQDJuro6KQdr1CkOh0P2Xc7PWCyGp59+WoA9Q11UTzULRQCtV5WlvQljx6uqqoSQYe15Xdfl5FSGzXI8eCaAz+eTUCLiKOp1NZn0wIED6Ny5c8q84B7HPCYSlGoFPNXjzxCk/Px8KcqhkljfV/nRAnM16YdJlPynJlNSKfM9ntjp8/lkwnKjYRLEDTfcgBtuuAHTp0/H7373O/z5z3+WZDuLxYIOHTrIJkUWgBsOa/7SXadWogEgSpTsotfrFQuWrAYPK5I66N+EwwWDwZQa1j8kd9z3VdJl6htBKA3ISCSCYDAIm80mxt6f/vQnPP7446ivr5d47r59+8pmY7zXjh07YDabUVdXB5/Ph+zsbBQVFWH8+PFYvnw5Hn30UUycOBHr168XxUqWSq2yolb74aanlrDjBtlUBSEenKUq2HThYmrbM+D8+ylMIA6Hw6irq5N8iEAggJycHGiahkcffRR33XWXGHsFBQWYPXs2Ro4cic6dO2Pv3r0yf3jYENA4p4LBoMxpur0pNBC/+uorFBYWYt68ebj22mtx+umno6qqCk6nEzfddBPi8Th27NgBAHj22WdRX1+Pzp07Y8aMGQ2ufHfqM6nVwghE1IPhAKSAd6D9GZhcdwTorEGtxm6/8847uPLKK1FRUQFd13HHHXeksJZMILdarfj8889x+eWXIzs7Gx9//DHKysok6VxN9E4mk+jXrx9mzJiBxYsXi14gsBo7dizOPPNMAWFAY8EFtdKT3+9Hp06dBPyphBPD6ujRACBsam1trZxwSZKhT58+eOONN6SWPoGnmgx8zTXXYM6cOe3O8/FtxKhbA4EAnnzySTz44IOora09qCqXGh1AAyaZTOLdd98Vb1Q4HJbcOoazkDiMRCIYNWoUHn30UTgcDgSDQQSDQcnrIPgHIDhI0zTk5OQIKUSvypw5c7BixQocOHBASCG1fOr3VdodMDfGgxnZNHVzV62wFomiEwlO1URIWmZqlRUgtf6zmo3PNnHiUsEBDcD/4osvxtSpU3HRRRfh/vvvx9ChQ8Vty4XgdrtTWAkV8LBNqiJie8kQeb1eAfhVVVXIz8+X14wRo/DEMuMztPZmoZYFY5/KECiZ8KrhwbY0B86+K1E3A4qxrWpVCCpwglGKuhmoMZdUcjQI1fJqku2f5t5q1Qe+P2nSJJSWlmLatGkoLy/Hueeei8mTJ6dsYvw92zdv3jw88cQT6N69O2bNmoVhw4aha9euOPnkkzF37lwsX74c9957r3h8OOe4/tg3rHPO9aeyUuqcVfsVgMST8/k5B1me0el0pqxVhgOoIIKSTCbl0C+GnBmNTp60y/h53o8bC9c1f8uDjmiQ8HlUj1p7ETU8SI2V5rpT1xSfU11vqp47rGdTxudQv+G4W61W5OXl4b///S9mzJiByspKyU3o3bs3Hn74YbjdbtTU1CA7OxsjR44E0HBapOqNBJCidwEIe8p/fr8fHo9HANaePXswffp0rFmzBt26dcPdd9+Nk046SRLLuE4Yo0zdeeutt+KVV17BjBkzgBWNz8SQK1UnqH1IfWB0px9K3xp1sgpKjWwhGW11jVO4XtLujYZ9UDWiqc9UY7lHjx6YNm0aKioqJFmXbeP3Zs2ahbfffhtZWVm44oorcNxxx6GgoED0G0Ni1JC2mTNn4rTTTksx3FUwrD6rOub8m9/qFcsAACAASURBVMaDz+eD3+9PAcpc72oMOUtqct6wogzXNok3oDHu2ti3ze1PavI7jRESb2poBtcc5wj3BDLC6jiS7OC6bot90QjMzWYzTjvtNBQWFsoBh8b5yD3BbDbj008/xWOPPYa+ffvi9ttvF1CuJmrzN4lEAj6fDz169EBRUZHskaq+bsqjf9999yEWi+G4446T7+Xn58s1WJFH3U/TzX+2g/uKWtpanZ/pRNWRKiagENvxHxNh1b5ribQ7YA6kKiMjUDd+3tz7B8khNpOmmDo1LISdzPhsKmdN01IG2GKxoHPnzujRowfeeustLFmyBC6XC36/H6FQKAWkqIqHFqJRCTFJYv/+/YjH4+jcuTM0TUN5eTnKysrQvXv3lLJOTTGM6qbRVkCDfaaWl1SFysg4sY3jqV7vuwTq6fpDfU8tD0gPhgp81A2BypbzJhwOS7UGNZyDfZKuv4ybPtCoyAYMGIABAwZg7dq1WLFiBa688kqcf/75otAjkQjC4bCcilZRUYF//etf+OSTT3DGGWfgvPPOg8ViQUlJCfr27YtFixbh3XffxZlnnonx48fL3FONCroPd+3ahfLycumTaDQqHhkamCaTSRKXeeBLPB7H/v370b9/f3keeqbS9T3d0VT0FDVUxmhUG/M31I1RnfsMw2HfskRaU96LpubH0RY1ZIjPpmmNybfciFjCT30Go/5skRwGMDeWDPT5fNiyZQuWLl0qxtAJJ5yAX//61ylrPZlMYs+ePdD1htjS6upqRCIR1NTUiPubQLKqqgpAo3GoaRr27NmDZLLhMJItW7ZgzZo1WLlyJbp164bJkyeLt1EFWmrukMViwaWXXopVq1bhww8/THmmdevWITc3F8XFxSlgS/VsMmzQCL6aE3UsOKaqLlHnI8dUNRCMBELa+zUxdrwXw3B4r969e6NHjx7yPLFYDNu2bZN43m3btuGzzz7D6tWr0bdvX5xzzjkYMmSItJFzjmFwBC9XXHGFjL8R4LAtJCt4dPv+/ftRWFiIgoIC6LqOTz/9FIMGDZLymNQ9aq4X+5HtIcm2Y8cOVFdXw+PxIBgMIhKJYP369VK2k/osGo0iNzcXNTU1qKioQDKZRHl5eYPR3r2xL1VQxv1aJQmol4ygUTXm2F8kfdQ9oa1IAbnHNxjW4XBgyJAhMobpRMUnHo8Hc+bMQe/evXHRRReljGVTwFhd4wz1UgmaYDCIvXv3CoGlaRpKS0thNjecg0ByZ9euXQiFQli/fj0KCwul2g4NiuLi4obYd8O5GCTWuD9z7abbf41tT/c3r8t/RlGLfbRE2g0wN1qE6uBxEqsWVXMD3xIQ11wnGdvAgVQZJ54ox0mjAgYuSJfLhSuvvBJ9+vTBhx9+iAkTJmDz5s3o0KEDAMhpngQsKkBnwpK6aezfvx+33norAoEAXnjhBYTDYTz++OOYOHEiRo0ahezsbGkrGSRdb4yDUxnPdExmawnBQLqJqoJwo5uyOTD0XTPo6tjzdbr3yQ6QGSAwUj0G6t9kjQhuufFwHqlHeKvSVN+wPVdffTUuvPBCDB48GLrewPqyqgINymQyKeXAnnzySRx//PEpcXl5eXl48MEH8eGHH2LGjBkYPXo0cnNzZaNg8lx2djbsdjuee+45rFy5UjbsSCQiiV2hUEgYQ7r5CZr8fj/WrVuHs846SzYgzneuM1hTn91kMsmcZtWFaDQqbJQxXEZdN+prFeiojDrBP2Og1e+02PA/CqLOT9WbYdwICE5UPasykt/G+D3U76grGebUq1cvTJ06FUuXLkWXLl1w5513YvDgwaioqIDL5RIvosViQU1NDaxWK8LhMC644AL4/X5xjaux6Tt27IDH45HExUAggL/97W9YtGgRIpEIevTogQkTJuCWW25BUVER3G53Sv84HA44HA4J5QAa9GVubi5uvvlmTJw4ERMwQb5/9dVX44wzzsDkyZPRrVs3ARQUVqLg3NZ1XYDsocCVClrUcaFebYq4UtldrpmWGgJcU7quH8Tw0uvCdixatAi33XYbXC6XlLY855xzcNlll8HpdKKsrEw8FbreEFqQlZUl+yfbzfY1pdtUkGsymfDaa6/hrbfewpVXXomzzz4bf/3rX7Fw4ULMnDkTvXr1SvGKaVpDbgyNQhIgzPnSdR2zZ8/GBx98gEQigZ07dwIAbrjhBhQWFkp/M2mZumfNmjUIh8O47rrrUFFRAfwndZ6HQiFEIhGJwab+JRDk86vMu0q2qOPH7xG0tmQ8j0SMgLQ5jMD7q3iHXku/3y/736HwFTEOxyQ3N1f2ELfbjVmzZmHt2rVSdYXgnYQP39u9ezcqKipw+eWXS3QA25Cfn49f/vKXOPPMM4Hsxvur5Jga4dAcpqQ0N19V/crvcW9RdXNLpN0AcyPDo04UtcOMYEntnMPZWJr6rtp56gAQcKhl4FSgq7rgyCqEQiGUlpbi4osvxubNm7F7925hONRF2FQfcINQFyRjJZctWwagIRTm/PPPl0xyWt10oRpZCC44giRjuEFrCuMr2X6OqdpPaj83JUcDCKXbJMh4qDHValgSGQ7gYADPa6iAiEBePb1TNdAOJepBGjwERGWq2d/cYPbu3Yvt27dj1KhRUqGF86W2thY5OTkYMGAAiouL8dprr2Hp0qUYOXJkSp1mMmqJRAKBQAC7du2SDYhzW9Ma4ghNpoYatPybHiWWW1Sz/ek9MJvNKQAHQMraMo4NjQ418ZSgRBW+VgGGKioDpIYmqQyokelqT6I+c7qNUe0nNSQk3Tw9knsfSshca1pDTfDTTz8d55xzDgYOHIjJkycDgIAjhiSxfRyP3bt3p5wWmUwmpfQaS7OxLQzn2759O+LxOHr06IGxY8eiV69eMJvNwoi6XC4BTVyXTHjjfBgxYsRBTFpFRYVsuuwDVa9zf1D7qDniIZ0Y57vxGhxToy49HGNLNQLY39zXtm3bJqwigSRZ6t27d8Pj8YihNGjQIIkJV8MxWUqY46hKutrVRlE9kH6/HwcOHMCGDRuQnZ2N9evXSxlHjgWNtaZytPiMuq6jpqYGe/fuRSgUwsCBA2EymVBRUYFAIABd1yUJEmick8XFxSgpKcGOHTskH8I4ZqqXRK0Gw+c0hsKohhf/GcfeaMS0phhDnoxeH1WMrxlHnp2dLeCZ/cu9hdekgce1QaNJNU6Yy1RbW4uvv/4akUgE8XgcTqdT9g0eVOT3++F0OnHMMcegtrY2JfeOEQ3qybuqGLEkMWdT+0NTz2+8phGYq/c4FBuvSrsB5pzQLE9Ipag+KEVlClpzojZl0WiaJrVpWZOWEwxoBGgEwzxIhcmcVqsV119/PU488UTcdNNN+PLLLyU+Th0sVcGyHJFqlHTq1AmPPPIIPv74Y8ycORMmkwlPPvkkunbtKsqH9zSy7QDSxrC3JcjQNE0qJ6Qbz3Rjqr5uT8L2RiIRCcdgHD89FfyemgtBJo1MOBkYzhUmxrH+/OGIzWZLKQtFsAtAjkumLFmyBH/6058wf/58HHvssSmKn/Pa7/fD5XKhQ4cOeO655zBu3Dj06dMHf/vb31BQUCDgmUk8kyZNwsSJE6VuLJkTsuVZWVlyLgCBucnUkKh39913S4Ic144K/FVh7CATiaxWq9T4V414tf/UqkbNJWkRdKh9qOaSqP1knKPtTdS4Z5UB4kbPShRqxQOj8dEW607XddGH6r2nT58uANpisaBLly5yf86Z4uJiYa5ffPFFuR4BdG1tLTp16oQZM2Zg7ty52L17N6LRKLxeL377299i3LhxAICcnBx069ZNQgzUai4mU0MSYSQSEa8J13EoFDpoLQHArFmzUFJSgtLS0hRmk2CTiYVqIn9LwbLR60GQwz7h/XiOhZpQebiGlkoqMNlT0zRs2rQJ9913H1atWiUeXYaUjB07FsuXLxdwlEgkMHToUACQ8zjYf9RrKptPjyEN/ObWp7o/TZgwAf3798eCBQtw//3344wzzsDvf/97AI1zX50/3F9jsZjoXY6NyWTCFVdcgcmTJwuoZ9id1WoVcE7Ph5rXlUwm5fMxGJPSl8QvNEQZW68ajSpQo0FIUMuqWCphcThkzZGIcb5wTJrTdwTzrNaSlZV10OE+6v/G/BCTqSHGn+F1iURD1R3mhUyYMAG/+93voOs66uvrpcSiWrSjuroadrtdwpjoneEBY9QpxpOkWV2IIZbs7yPVfyppyj2Ma5TeGra5paK1h43m+OOP171eL95//30sXLgQxcXFUhucJ2YCB8f30MIxWsNNdcCwE4bJ3x+v/rjJ9nBCqu7vdevWoby8HEOGDEHfvn1RX18vE0p1IwcCAQEaKqNBtmDPnj0Ih8Po0aMHgsGgxJuzrmp9fb0oApXhYk303NxcRCIRfPXVV0gmkygrK4PP50tRClarVWKL4/E4Tj/tdADAZ59/Jic/UtnyedtCdF3H3r170bFjR+Tk5IiSpFVsXPgqmFXb1FaA4XBEBQMqYwykJp6prjz1OXhkOMupBYNB5ObmSkY6jT8e9zz8pOFy75UfrTyoPdzsyAiwhixPiuXmwgouTA5mnXugYTMmIGb4DY2NoqIirFy5EvF4HCUlJcjLyxPlunXrVuzduxf9+/dHr169EA6H5b40Mgi4EomEHCREI0TTNGzduhUejwclJSXw+/2oq6tDSUkJLBYLamtrMXLESHnWFR+uSNnsCdJ1XZc4YW5wBOI+nw9msznF02UymeSwLq5XhkREIhEUFhZKgjQNDJWRNDIg7Umor8jaMCEWgGz2iUQCGzduRNeuXZGVlYVgMCgbHcFSSw31lupSoJHdNZsbynuaTA21j2kYEPCRUec/6se6ujqEw2EMHTpUxi4WiyErKwvZ2dmoqqpCVVUVfD4fOnTogMLCQvj9fjk0zm63IysrS9zkrHFN5txsNqO+vh6VlZXIyckRQ9VisaCoqAhVVVXQNA1jTm0EYV+s/QKJRMNZFQx/8Xg8KCgokH2LAIcGqEpQHGosgVRgzthZ7iU0Svft2yfrlQfuADiInW5u7Aj62V6e7rt27VpJADxw4AAikQi8Xq+cymq1WiVE5cCBA6ivr0dubq6MK0+QLCwsRGVlpeS5pDvgqSlhlR1N01BUVIRkMokNGzbgyy+/RL9+/dClSxcBwAS2BHEsv0ndpusNoUXbtm1DZWUlCgoKkJeXh44dO6K6ulr2V03TpK9dLpfoBybmk+Cy2+0YPGiwtPXtd95GYWGhVETjXscQF4bLsYIMCT2222azoaamBrW1tejatavsMQTJbUWiURdyz1n1n1UAGgtkAOnD+Dg/y8vLsXPnTthsNgwZMkT2FDVentejFx2AGEFcj/R67t27F4FAAEVFRejQoQPcbjeqq6uhaZqcVB0IBGQftVqt8Hg8YlhxvhDkB4NBnDr6VGn32nVrBVdybnB8DocgM/YN70tAbrfbBaudd955OPXUU+Hz+fDJJ58c8gbtijEHGqt1qBZGOtePCpKOBMSpyqlFcvzhfb1JOaGVrjP80F8xCichrUS6iFvbOFNZHioyWrFUMOlCaLhZqso6nUL4LsTIPBGYc9MmuOBcZSwpgBTWTX0u1gKmUiCTQCaZxpixkoNaWUfth3g8LqwDr0XjLBaLiWJKJBLo3LkzBg0ahHXr1olhRuNMZYbITgeDQYwePRrRaBRVVVUyZ4CG45W7du0qcYHqHOKhI2R6dF2X56PSMplM6NOnj3geWN2FCt143DU3LoaIqcY4n5WMB5UiD3pRw2DI2qpzj2E4ZOHZFnUOcN2obtj2IkbvoXEz5XOrsf6M0QZS15waW384cqjSZCrRwLXBOWsymZCXl4dIJCIghQwh/y4tLYXVapWwCdWYIMgpKysT5qyurg4mk0nWB79LgzGZTCI7Oxt+vx9utxvRaBTdunVDnz59pGY6jW2ygDzym8J5oIJtlVXlc6shVpxnzelbjpkKzgHIPkdgQ/Cp9it1iBqPfKjxZM4LQy/Z7x6PB6NGjUJhYSFisZgQRgTW1Cs+n0/0X05ODrKysqQUKskmVg8jwWY8sZjPbRT2JcEpvRw9evSQRECCw7y8PCk1zP5SQ0/Vva5nz54oKyuTevlAI4vK/lKT2Aky6XXivDS22ePxpMSDcz5w7+Ozq6csExzSs0Jigc/BPShd3HdrijpPSE40Z6gzxAhoSLAsKCiQ8WRYIz1l9BpTP/OZmOfBv6mLSktLBXRrmiZjxNKMXAPGfZLrQfVyUnerolbcYVu4H1JXNCXGNaXqWlUHc18nBgIO79TfdgPMuYA6deqE0tJSeDweWRBMPANSO0J1uXwfXM1HW0pLSw+KMW1JMtLhCj0ZBGXZ2dmSRa+6z/8/e+8dH1WZ/Y+/70ymZmbSE0LoUqQoIkjvNsAutjXWxbKuBRXdrwi4P2V3FcXGiquuKKKIYm+4q+6HDuKiICpFAQWChJJkMpPp7fdHeD9z5mYSAhKIK4dXXiQzd+Y+9ymnvs85Eo8GJMPXekPsSFFDUCaSbFVPpYCMIhQKKagLmRbx3R6PJwUbSzykzWZTDRHC4TCCwaBSmkgn9zr58D3k0MP3VUeKevToodaAnlUyOZ55mVjFuadyRoVDKuc0AoxGo6qqQ+HMz1HQUDjrE0ObA0kDkvuHnj6+TuOppqYGe/fuRUlJiWqSImtMHyp16dKlwfelUtG+fXvlJff7/bDZbCrKx+gKvU2EDbBOMhUGKj9cl6KiIrUfiHel4iAdN36/XxmA/G6Oi1G8/Px8dOjQQc2tVK4l5efnK+8yPaiyKzShE1Q6+F0ce30k4S6E0lDB4b7m2KkgW63WOjlGjY3sdOnSRV3Heea9qBxZLBYF2ZGKbjAYhMfjQSwWQ4sWLZRywygeFVNChWQEmc9KpVM+u/Sk83loCEUiERQWFiolimOUihpf494CoAw/TdMUnybvZa4B7y2VSholGRkZcDgcKfuJtbZJ/fr1U6+xbjf3AxV6etI1TVPeWX4f85c431xnzg8NjcNNemWzY8eO6vd0e0iuGeUflXE6Sbhv6QBkNCyRSCgoEYsT8OxQN6FCbrPZ0lbY4RhkYqx+H5Hf8f6SWrRoASDZGI/ymvPd0LmRjkKeaanDcFzyjHB+f9UYc1pcshalTLgjSbyanuoTMvFEHAat+SVuHSmy2+3KItdvsMNJ3NgywU96TyVkRVJDiahNNcaDJZllH4/HlRLNMGVKNRwkE2CpKAGooxBIAUal6hgliZ5/zh9hO0Bq0mYwGFTCn0oEPRc1NTVqfbgHKbTpieP1eq+n9MywtFZzIbmPec40LZnDIIUu8ZcSxpYOCniwdKDW13oeQwWVZ4fCkJWBpDdOYmzlM8moqsQv0yMpvWF8j/eTPJBzIyMuUlmSpdQkERJGbDDnns9LjzYVXUkH8pjLcUsHB8ck15wKqj4v40D3IXFOeC1lLX84v7y/5NH0EPMz0lMo54sQBD3Pl+NrDD+mksM15lwxKiKNGuag8D7UKUwmk0rqpDeXDf70CiqV4Pz8/BQPvKxQJYnRASpnNP65B3g9o6f6REMa/9xL6dY03WuHg+Q4pGPoQM4qPh9lPSNIjFBw3mQOD88J9wmddHS+MirG/cR5kdVNJDyYRro8gzTCZOUVUk5OTorTl0q0fn8faJ7SzZGMeMkI8cHy1WajmHOS9LV2DyQE04XrGrR4cOgKHoU3lSkZ1pbKpmRAeo8/PQzEPHKjSkOEDEBWmZBhO7l5fD6fssYlpkvvLUokEgghlPa5msoDKD3D6SrMkOQa1hd+baoxNkY4yGtk4i8xsxUVFWjVqpVS9KQnix4/Vn+QzJnEUK2cm1g8BqOh+SiAR4ti8RhiiZjyaEqFhxUBqHBT+Ekvk8FgUN6yRCKhPFb00DCh1eFwqAofFASS+QNQe7mphOOhkP68pFN+9FFG/gCpxnBjoA/p6ECf4RgoDPkZdghkQj0VPU1LlhnjuusryUiYkYzCyURI8kK+L5VG6emSvIdnlJ44VhQCkCItJaxJRvqkDEgkEileRD53Q/Ml3+M4pBNFeirls0lPKsfQWOiDjDjJvCnp3dbPE6NNzF1gHwPek15Qntl0mHdpNKXj//xdehw5RuaRyIgEzzXzD6jESV2C8lY/Hu4zKoMAVElWKv6JRELh+LOysurMLSNvHDOVSlnHXe5b+Zzp1pTjl/upKeRgQ0pjQzKR4wqFQgrSlJubq+ab+0TyGEYm5VrSMJclNrk+/B52muV6yu9jlEOeQQAp0U7o0HbyrMq8jENxuqTbo9QTVPf1g6RmI2Gkh0P+AKk1NOXmlN6yplLcSHKTSWuWnjmpCMjQCj/HjSXxqgx1MHmIoS25aSnApICSlQ0SiYTqLsY5k5uVf8uxyvk+EqRfx3QeNCBVSTgS66kfo4Z67ilf1sNpc/b/SDIhpQ436ABPd+bNuu+kc+23G9hJIWWc6IMIxv2vyde5Tvq5s+3/IZmR0l5dUdIRj2gsqmAuFNhAw0l1R4P0Soz0wkmhyPekZ5Hvp/MIH9QY6js3yQtqfwyoK3Gs+38kGcS1+vf4viQj6p4tfkdDyyWHne46A1L2RMotjXW7+WqalsLLJd6WIf/G8jU9f9QbEuTr9EhSseFY9F7r+qdAq52HDKTXBtLNq/71dPNvRMNznxxA6jqk+53/68+7nu/qeakcS0PEvaKnTKTyCQ317gcguU4SksiqJTJxV3+9GoZuPaXCKT3uh5vqODYPdJ5rL0qSnr/Wt5ck1Tfn0L2ebm/pKd1ea+BzNOgITZKGxIGoIeOI+t7hoGajmMuH0iuTUnGTXgAKS/2kHswGbjS0RUP9DKi+jcOvro9B1cdI+Fn5uXT3MKJBRhGOhJUFTmOAXkF62ZsCM8vvlHAOaUDRiEnHmNK9zs8dTpIHrEGl/Bj9JinDmIEEkvWQZdjzcDHfw0GSZ1LZlk4BXiMjNVTQqVSSDubZ4vhtwwIzjBkIxULKqCF/o5ef2GUJ85DrcyDSR0GYiKhXzPkelTr5/fXd67e+dk1BwVAQGaZktEbCK+jhlR5cCcOQhp2MxvIcp4ssHE76Le2FeCIOd9StvNlAEnJLx+WBDNqG4D3S+JbOZr7fWGo2K0Lm0hCMQTKjhn6OUS1JvD6Fg77LaFPMl1zL+iIgjVnHplxTPQZVUiLNv3gijngijmgsilg8hgQSiMVjmDR5EgxGA/78//0Z0VgUCSQQjUXh8XoQCocQT8TVd7z2+mvIMGXgnHPPQZW7Cgkk4K52Y1f5LvU7PUjGDCOgAZpBg8FogGbQ1O/GDCOMGUYYjAZAQ8r/TpcTWdlZsGfaYTAaYDAaYLFaYLaYoRk0lO8uV2OKxqKocleh9IpSzHttnnpNPoc/4Ee1pxreGq96/c4Jd8Jqs+L+B+6vM0exeAyxeEz9HgwFEU/E8dTMp5CVnQVoUGMxW8xwupxwZblgz7TDZDYBGmAym2C2mGEym2Aym2Cz29RnoAG5ebl45tlnkEACW7ZuwZizxqh5s1gt0AwarDZr0hu3/3VowBNPPqHW7+ddP2PgoIFo266tWl9J7GYnoQiMfDUnkudL4j1llQe94g5ARe0O9Xylm7PfEhEPDCQ7B7KcIF+n8SND/40hCZukgs81lTxRGmBcTxnNrY8kX6qz74OBOrwugQTCkTB8fh9C4ZA65/L8R2NR1PhqEIlGEI1FEYlG1GeisWide+r/lt8jv5u8xFvjhbfGi2AoqHhTja+m1gEVjyESjSAYCsIf8NcZW7r7xBNxRKIRxBNxBIIB9b3RWBShcEg9ZygcUuMKhUMIhoKIRCMpc0YoqsFQW/0nLy8PDoejjpImnU4yp46GnUwQ1DQtRV43iRz8jSjlkWgEsXgtWiAnJwcul6sOXEYa2PVROp1G/kgoG5C+2VtjqNl5zPVWh8wyl1m3kg70d2PoQNhziSGSCWAcbywWg9/vT8F7JxKJFOw4ISZ6fCRLwDFDWY+n5H0Ylq7PciYzN2UkrXEg1RMtPTd8r6lCZDJcLucvHY6wPm/doVibjSWZuJIucpHOs0/88cqVKzF79mxEo1FMmzYNQ4cOhdFohNvtxpw5c7Bz505cdtll6NWrl1KGBgwYgOnTp2PNmjW48cYb8frrryMrK0s1CtI0Dffff3/KOusPtmQC8+fPR2ZmJkaPHq06ozHJlMKcRE9edna2mmuj0Yjs7GwAqFPOEkhtfiSJ77P9udzf9DrICgM33HAD4vE4/vKXvyh4CJNlKZyIF5fNWHivjIyMlFrpLpdLdTotKirClVdeiX79+sFms2HDhg14+eWXcffdd2PTpk2YP38+unbtissvvxw2mw39+vVT+5DY9G3btuGGG26ona8Xks954403IpFI4IILLsCFF16oMNFHCgLWWEp3RvQ8Qu5hWVlI8lnglxnqjeGhEnvK3BveMx3cg5hnTUtW25EKjszL0D+v5DVSfshnlzhTeS35u0wIVp9DEkop4SxAMoeGZ4+KssRlN3b/SAeHHmsuKV2fj8byzXQ8l8nRTLyV13KNiCMnr9JHDfRJ2NIxo49AydKymqYpXijzAeSacE5kiUO+L73M6Z5R07QUzLnMSZClL/UKNeWEdCpJStkfujPFeeAe5t5IJ8f1c3M4dJtjlNoTQP+6PN8HSv4kpTs3el1NX3XuYCKtzUYxB+qvZSoPHjdzU4V16iPJ2JkUk0jUJpzIpDFZTSCRqE0Wkcl97ErHrHKpvJPpUQlhmSVmozPRjc1b2NGKHc64yUh66+9IRhOkUinXTe+pP1QI0uEg3k9fgorQHwqfRCJZMo2MfeHChZg9ezZuuukm3HXXXSnKxrx587B69WoMHjwYvXr1UnXD27Rpg1tvvRXPPvssJkyYgOrqamRlZam29dFoFJMnT1YGHFC3PbLc9263Gy6XCxMnTlTPI6+Tz8i/Y7HaBj1utxsFBQXYtm0botEodu/ejUAgoBIlbV439wAAIABJREFUgdpuiSaTSSUsWywW1awoGo2ioqJCNXjwer0Ih8MoKChQa86ksDlz5uCSSy7BLbfcgkQiocqIEQvLhC0ZxmWDF+IypcJG4zUWiyEzMxMXX3yxmqeVK1fio48+wn333YcPPvgA7777LgYMGIB77703RchrmoYff/wRTqcTNpsNc+bMqT27QjGfN28eTCYTOnTogHPPPTcl67+5kP7MMP9EvxeoFFCx0PPPdELrcJFUoplMyXUnb6OTQvINVpFiyNlgqO0ay73CUpgOh0M5NcjzWC1FQpHIn+W5pgJKZTQWi6mSp2wQwkZtSgbkJp+NjhU+IxUvOec8y4eSWCblhDzXVCxlfsChKHHpHCKUUyxLyr3BSiNSjlRVVcHr9cJms8HhcKg+D3Iu5PVUblkWj8ncfCYgtUW8PPOyyolU1qnISmw2gJSKV7KUrSykIPcMy/hJrL7dblf8WFb6SFe2MJ1SryfJx/TOKfLN+t5vaorGkkmV4XBYNZSSNdc1TVNRHJ4fNnFjMQS9E5W9MVwuVwokS5Yb5trEYjFMnDgRNpsNkydPhtFoRHV1NSKRCLKyslTfing8rsopAqlFGdT3m5PVkNKdEY5N6kyN1ZHSGX48I9LwYt1/eV1jqFkp5s2dmIgBQCnJmzZtwty5c5FIJDBt2jQEAgGVdWy1WvHCCy/g7bffRiKRQF5eHsrLy9GiRQvMmTNHZezLUlQmkwlLlizBK6+8gsrKSqWYEIYSj9d2VEskajubnX/++bj00kuV5/MYNY5kCFhfzoweXcn0w+GwMoRKS0sRCoUwffp0DB48OEUAsHMnE8BY21gy29GjR8NqteKyyy7DZZddhquvvrpOcwOpKNHo0ntRZCthChnJZNJ5cUKhEN566y3MmzdPtVFeuXIl1qxZg3/961/Ko11RUYFPPvkEGzduxCOPPII9e/YoYbZp0yZkZGTgrbfewtq1a1XXNYvFggkTJqBLly4wGo346quvMG3aNDz44IM444wzAAALFizAnDlzUFlZifz8fESjUdUMiDWApZKuaRo8Hg+uuuoqXHTRRcr4pICmYgZAGQ8UFDR69OW/NE3DtGnTsHjxYowYMQI333wz9u3bBwC4HJera2fNmoWqqiqccsop8Pv9yqA+RgdHcs9SSUokEnA4HPjyyy/x+OOPY8eOHaobaDAYRKtWrTBu3DgMGzZMKXvktd9//706E6x4QcXM5/MhPz8fr776atp+DTIJj4YjPeZUjKhIUAF45JFHsGjRIlWdA+8nv1PvyQdSz65Uqn9NxPwjAKr5EJ1IpIyMDPzrX//Cyy+/jMrKSpx00kmYOXMmMjMzlaOBDg3yUOkwsNvtKbXSaWxLOcfyhiaTSVV5oRLIRkZUnvXVV/x+v6ppv3jxYsybNw/Dhw/H1VdfjUQi2d6dyuWPP/6IJ554AitXroTVasX555+PO++8E0ByHemIMxgMB05K/JURy83KkqOs/R+LxWC1WlFWVoYXXngBW7duRSgUwt69e3HKKafgnnvuQWZmJhYuXIiXXnoJmqYhPz8f5eXlMJvNmD9/foqTgOeWZ9RsNmPx4sV499134XA44Ha7cdVVVyl+73a7cfvtt2PQoEFKH2K3VyBpiAMHlyvTXOmYYt5IknWUpeesuroac+bMQX5+PqZNm6Y8QSydd+aZZ8JiseDJJ5/Ev/71L1x//fUYO3Ys/H6/CtmxjiqFxOLFi/H666/jhBNOwL333ouCggLcfPPNWL9+Pa677jpceeWVsNlsWLZsGR599FGcdtppyMrK+tUx/6NJZDaEVEhiCJUt5al4fv7555gyZQp+97vfoV+/fujevTsAKI/e5MmTsWjRIlx11VVo27YtZsyYgVmzZmHevHkoLy+HpmkoLCxEu3btcO2118Jms6FTp04pIVIpxKXnXn8NAJX5L98n1Rf2NhgMGDp0KJxOJ2bMmIHFixfj8ssvx7hx4wDUlvNk6TOj0YjCwkKce+65CAaDcLlcsFqteOKJJ7BlyxZ07doV1157rVKmcnJyUFBQoMJ42dnZuOKKK3DOOecog6N3797IzMyEx+NRrdLZGp414CnEJbyrVatWCAQCqkMpha/H48HDDz+M//u//1Otmv1+P0466STlXX3llVfw+eefo7i4GJWVlUgkEhgzZgxKS0uxevVqfPHFF6rlM36XnKvXXnsNCxYsUAJZNjY6Ro0neqwpMLmGpaWlsFgsGDFiBHJzc9U5cjqd8Hq9mD9/Pp566inccMMNOPXUU1FVVYV58+bB7Xbjpptuwimn1LZR9ng8MBgMcDqd8Pl8ypPq9/tVq2+73a4cINw/QDLxi55SQqpyc3Phdrtx9tln44ILLsDEiRNhtVrx0UcfpTyXhJHQcUNsvyxLyfvSiG4ulE6BCQQCCsZG5wSVX6CWh8ycORMvvvgi+vfvj1tuuQXxeBx79+7F7373O8yYMQMtWrRQjWbo5ZQwNSp97IZMKCihavTMRqNRpQgTbsdzzi7DBoMB5eXliMViKCgoUI6xrKwsLF68GPfffz+WL1+OaDSKtm3bAkiWJgwEAnA6nbj55puxdetWDB06FOPHj4fT6cSKFSvwwAMP4N57702JmOoj0/8rJGuAMxqVlZWVAkErKCjAaaedhtNPPx25ubm49dZbceqpp6oSkieeeCJKS0vx/PPPY9asWbjkkktwxRVXpECGuA9kmdF4PI6VK1fi6aefxrhx43D//ffjvffew5NPPon169fjlltuQc+ePVNyZmjkM5FTRlePKea/EaKFzvAEFTsqK36/H3v37kVOTo7CviUSCZSUlKC0tBSfffYZ1q1bh5EjR+K0006D1+tNweVJLFKrVq3QoUMHXHrppTj//PNhMBjQsWNH/PTTTzjzzDMxatQoaJqGoqIifP7550o5O0aNJ6kEh0KhlDJcenw3Q21utxs7d+7E5ZdfntIa3Gw2Y8+ePVi7di3Ky8vRt29f9O/fH3PmzMGXX36JH3/8MSXMRqXhsssuAwAlvAhX2rt3L2pqapSykJGRgb179yooCRXbHTt2wO12Y+PGjbDZbAgEAqoUFJUfKtnZ2dlo164dbDYb2rVrh7Zt22LJkiVYtGgRevbsiUGDBsHj8SArKyulpJ7FYsGFF14IIBmq/eSTT/DTTz/h4osvxujRo5U3X+Ix3W43WrdujU6dOuG7775TCrfZbEanTp3g8/mQkZEBm82mDCC5jwkvoGLjcrmUJ41ED+iCBQvw9ddfw2q1qijCvn374Pf7ldds586d+PLLLwEAnTt3xqmnnoqTTjoJb7zxBt577z20a9euTnfHjz/+WMGF2OBClmg9Ro0jesjoFWWU56233kK/fv3w6KOPIicnR50n8sFXXnkFH374IUaNGpWiDLVq1QoXXXQRTj65tiOu9Hxy/8i28QwnU3DH48n65LLxCb+fEaP169fD4/FgyJAh6Nu3L4DaM/AYHlPPxnA+kIRgSPgZcdrNdc+kc+ZQFnFO+TtQG3Hz+XxYtmwZtm/fjmuvvRbnnnsugFpYy/Tp07F06VKcccYZKnolcdnS8SBLAtOYolzlPiEPlNVJCEuid5ewN84398G2bduwevVq/PDDD0pxZM1z3hcAysvL8d1338FsNuOss87CiSeeqMbw/PPP46uvvkJxcTEKCwvVmKLRaDMqnXF4iNEQWcseSEI0eIYHDhyIvLw8ZGZm4oorrkDLli3h8/ng8XjQsWNHdOzYEStWrMCiRYswfPhwnHXWWSneca6dzKUqKytDNBpF+/bt0apVKxQVFeHSSy/Fp59+it27d2PEiBHIz89XURcZHZXRmf8FbzlwTDE/JCL8hIzeZrNh/fr1ePzxx/GnP/1JhTxZhzQUCikvBFC70aWXlgoZBclpp52Gk08+GcXFxWrjyjAgN2ZhYSGmTZuG4uJihEKhY2H2gyAKAiDp8SZRKZYdOGOxGE488UTMnDkzZe38fj/sdjtmz56N7t2747777kPXrl3h8/nw17/+FQsWLMA999yDhx9+GCUlJfB4PCrpkIqgTLTyer14+umn8e9//1u1kpfdRekZCIfDqKioQEZGBpYuXZqy9sSHUkGw2+0499xzcdtttynPD/8HapXeqVOnYv369bj77rvRr18/1SVS4hwTiYQK6c+aNQsnnXSSUsr1pTeJ0QWA3//+99i5cyfatm0Lk8mkcIj0YhL/SXgKIUMMo9psNtx0000qBG00GhX2l7Ahs9mMJ598ErFYDJMnT8asWbOwcuVK/O1vf8Pw4cNx11134dlnn4XRaMS4ceMwYMAAVFRUYM+ePbBarfj3v/+N8vJyDMMwNY8cG+db0zTl5TtGB09ScZaeRxqlTPK1Wq0KKuh0OlOUAgpel8sFoC4eWUaZXC6XMrCZP0FvXSAQUJ5tKgr8rMlkwrRp07B8+XLMnz8f+fn5SqE8/vjjU55J4oL5u0z+5zWk5hTVrA9iwzmRShD/j0QiePPNN1FSUoL58+ejU6dO6rtycnIwadIkvPzyy3jnnXfwyCOPwOFwpJSl49nhufZ4PHC73cjOzlYeeklSgZOFEmRHR5/Pp/aDhANec801yM3NxUsvvYQ33ngDL730EiorK1OSiX/++Wc89thjGDNmDIYMGYIuXbqo5+3duzfWrl2Le+65B1dccQWuvvpqleDvdDqbZlGaAXF+KY/Y0VTm11Am1dTUIBqNIjMzU2HzeRaA2rUBkGz0s/8zmqYpPv/xxx/j4YcfRocOHfDss8+qNZDnnmeMEBieM3rIZadaRloaVUe/mdIxxbyRRAZPj6Df78fmzZvxww8/oG/fvvB6vVixYgWqq6vhdDpVaNNiscDj8ahwqtvtBpBsAU1lRsIXyOyAVGFGa5/KutVqRdeuXdV9jlHjSc69PixpNptVkwhZVSc/Px8tW7ZUn6VndunSpfjmm29w6aWXonfv3jAYDPB6vQrq8sEHH2D58uWIxWIoKSlRTIVJkEzwIt7yiy++wJo1a5CXl4eSkhIEg0GVKMP9J0vgUfGgl8dsNsPr9SIzMxOVlZXYuHEjWrZsqZRZn8+HnTt3AgBGjhyJLl264LXXXsPixYsxbtw4xViXLVsGr9eL7OxsuFwu+Hw+zJ8/Hz6fDxaLBRs2bEBNTY3C97ndbphMJuTk5KBz587K2EgkEsjKylLNtKj0b9iwAW63Gx06dEB+fr5KoqZ3k/j8LVu2YOPGjeocMEGVwiASiaCkpARnnXUWfD4f7rvvPowePRpGoxGZmZno2LEjBg8ejMWLF8Nut2PAgAEAkkLDYrEgPz8fnTt3TtkH0oMvlbZjdPAkox2MgjCqU1NTo4xdwgCJN6awp9IuMcj6ygc0mghTkF52fobXqmpMSG28RofKypUrsXTpUhx33HEwmUzKSC4qKlLPxKgoFXLyZXp0yVvS8fnmTBIXDiBFOTcajfjhhx9gt9sxfPhwAEiZ16FDh2Ly5MkAaj3obdu2reNQooIlEx1lYQWpxMk1YhKd7NwpI1g03DweD3bt2oXt27djyJAhGDlyJDZs2KA6eXK9GHH7v//7Pzz55JMYMGCAemav14uioiKFm+7SpQuuvPJKpSz+GtbxYIlzIxMi/X6/grYw6kEHotPpRE1NTUq1HJLMAyD8yG63p0SmuGd27tyJxYsXIzc3FyNGjEhJyGWeFvNS2FGWTjM9xFMaxL9mOqaYN5J8Pp/y5hkMBqxevRqPPvooKioqcN9992HMmDF46qmn1KaSiTIUOrLSRjAYVJuK3kVpaRKTRwHD76IXQ3pmqNj9LzKLpiKJ/9Qr5gw9e71e5VkjbpHeZnpy3nzzTUydOhWXXXYZRo4cqdaeHoVu3bqhtLQUU6dORY8ePfDyyy8rTByZCxVSRlXC4TBatGiBadOmYciQIaiurobH40E8HkdBQYEK3z3wwANwuVy48847lSEhvZAA8M4772D69OnqOcxmM/7xj3/g2WefRWlpKebNm4fCwkI8+OCDcDgccDgcShG6++67sX79ehQXFyMej8Pn86Gqqgoulwv//e9/FbacyXKJRAKVlZU4/fTT8dBDD6Fbt24AgLfffhuRSER5yMLhMIqKinD99ddj5cqVuPPOO1FaWgqPx5Ni9BDn/9hjj8HtdishHAgEVLIsvSmxWAw1NTUKIuP1epUx5XA44Pf7laFF4R+NRuFwOODz+TB+/Hg8/PDDQHFyH/B9JnIfi0odGnHdmFPDvVlVVYXKykoEAgEASUgXr+f+Yu34YDCouvVRwSNRQWaZTkY3qBzb7XbloeMZkcloNADovbdYLCmt5PUlQwGkVGORjhXyCFnjXF/ysTlQilKsg2XI+vacTypL2dnZCl5CA5rz8+OPP6p5o/yiUyEej6sKN+QxmZmZypElvaR8Xxo6QK2BJY0xYtKrqqqQSNRWgvn+++9x++23Y/bs2RgwYIAy/jhWCVVkoiPXinydHngmGDKinZGRgby8vFoj4X8scCaVb84R+auEmHEtuEZ0FtERI5Vjr9eLqqoqFBYWqggtzyENHO6VQCCg8oho7DHZlmc5KytLnTH+KGgRkuVJm9M5OxRq9op5umSZxtaaPJwkQ3BURFatWoVoNIp27dqhTZs2iEQicDqddUL7FAD08JDIGFm/Wd6Dm5uv8fPSGpRJD80Nwyifm3/rSeLqj7RRwXuTyUuSY6cHWmJYP/vsM1Xib/369Wjfvj169+6dgneT5aWGDx+ODz74AB6PB++//75SFMeOHQtN01RZNllazWQy4YQTTkD79u1TxkZvMwAcd9xxcDgc6NSpU8r8UQkwGAzo06dPinc9Fothx44d+OGHH7B27Vps3boVu3fvRllZGcxmMxYuXKj2rcPhQOvWrZGTk6P21+bNm2E0GpXn0Ov1Kvw1BVp2drYqbWYwGLBnzx7FYGm4BoNBVFdXIxwOo6qqChs3blTVMQgV69y5Mzp37oyBAwdixYoV6vxwzSRGkbAx+cNa7jSC5HWEoFERiEaj+Pjjj4HfJ+eakSiZqNacjV8JO0r3Ot+r7xma6tkkn+L+jkajOO+889C5c2c1Jp6Fbdu24bvvvkNubi7OP/98dOnSRQlphsAJBVuyZAm8Xi86dOiAE088Ud1T8kTyTSaCUgGXhjbHxv0CQCkZa9aswbZt2xCPx9GyZUtgUPIeTJJjNFWePcoBCXP5pSSr25B+qYdQL0slBIfyThoxVHTJQ8m3qNAZjUY4HI6UspaEG/BvWV1FRoEZJSHPpdIncfty3DTyZDS5uroay5cvR+/evRXfDoVCipfLM8AzLfHPev2CY5We/8OZ/KmHC0q5yNePBN+R9+V54xrwTMjoj1w3mXApFXjOrSy5yDU3Go1Yvnw5du7cidNPPx1Dhw5FOBxWkUrei5EyAClKP/cGkIx0kUccDcVc//y/JELW7BVzmc2upyPpJSamnFjTNm3aoKCgQCU9tG/fHieffDJef/11DBkyBB06dFDlvyTD4d/0kFMQ0JLnJuYGBaDwfoFAQB0UblRan78WkuslmT3QsEJxuEnWdJYJhUCyAQtLUDJxsLy8HBaLBa+99hoqKyuRk5ODG2+8EU8//bT6LD0MzBa3Wq3o0qUL3nvvPWzZsgUPPfQQNm7cqMKADA326dNHQV+oKFRWVtYx7sxmM7777jusWbNG1cifPXs2Ro4ciTZt2kDTNIW5lEoDn8tkMmHEiBHYs2cP9u3bhylTpqjkUq/Xi7lz52LhwoUIBAL45JNPVBMht9uNr7/+GqtWrcIJJ5yA0aNHA0gqPVQ6qJgQ52c2m9GnTx9omoZhw4YpmJDFYlEZ/osWLcLChQtVgtYPP/yALVu2YMSIEXjllVdSFCwAcDgcChbDOWYEioKaIe2ysjIsXrwYc+fOxdq1a3H66acjIyMD33zzDT766CNs3rwZxcXF6NWrV21lGqGYGwwGPPPMM+jXrx969OjRbI3gA5E8Vw2dqabmp1RmGPF46623FE+VfRluvfVWfPDBB5g+fTomTJigPm+321FdXY2dO3fi7bffRjQaxdKlSxEMBtGxY0f07dsXQ4cORceOHZUhRaORMAZW8tDDK/Q5EhaLBeFwGC+88AIWL16M7du3w2w2o6SkRCnmdKbU1NSgsrJS1VmOx+MKR8trqLj/UpLKcVM5Nfj9VKjpbGCET3qsyZvoxbTb7XA6nQrTD9Su+6uvvgqv11vHCJKKOVDreLj44ovh8/mwePFiVFdXpzRNA6C89VSqXS4Xhg0bBpPJpGCAl1xyCSoqKhR8gtEv3ptGN412Rtjqk0H0GhOGA+CwJX/Kc8f51MvJI0E8f8z3ketMh4nBYFAygetBfk84FxEB4XAYOTk5yM3NRU1NTZ2kz4yMDAwePBhDhw7FggULFDRRJgUDtboXdSFGz6SRRXgboUmqF4dV/4RHln6JwdzsFfOG6Gh4WVlDPBqNwul0Kk8nsasTJ07EkiVL8Oyzz6ZATvgZiZnj+yyUX1NTo0I5mZmZyjNKpi69u/KgSAjMr5mO9HpSqdQn8zFsRlz16tWr8fjjj2PJkiUwGAxYu3Yt2rdvXyeawbXguhL2QDhS586d8dhjj8FisSASiaB169bweDxwuVx48MEHlcfP6XQiOztbKblMiOMe+vTTT/G3v/0NV155JQKBAO688048/PDDuO6665SQkxVjpLEAAEOGDMHgwYPVmPPy8jBy5Ej897//xW233YZLLrlEVTjh2BcsWIAJEybgzDPPxF133aWeS4a4gWTYXj+no0aNwjPPPAObzYZt27ahqKgI2dnZat8DUPXHP/74Y1x11VUwGo2qwYXEqwOpVXUoEOx2u2oSQjiR2WzGihUrsGXLFuzevRvnnXcedu3ahRkzZuD5559X9504cWItfALJxiEWiwXjx4/HpEmTcNJJJ8FisWD37t11ymv+Guhoe/plxIaKB2vj5+XlpeDGCwoKYDQmO8RSoWdC588//4y77roLF1xwAaZNm4b27dtj6tSpuPnmm/GnP/0J999/P9xut0raNBgMKjpCRZN8Wy/ceYbz8/Ph8/nw97//HY8//jhOPfVUxGIxzJ07F3MwB0CySpEe5kLohd6TeLTXIB2lM8ak0UJIEfkAXyNkQJKm1XbrlLkzQO18jB8/Hvv27VNQFFlVhQaMz+dDTU0NRo8ejT179uCBBx7A+vXrFaxEOqYIFdK02hK0s2bNgt1uV83enn32WdUngddWVFSkRN0AKEWORodejtLTL50jSmk8zE7Z5rA/ZFUblrtkSUuZJ8Joh3SaSMcFX6eSLPN1ZDnpdu3aISsrSxlRzJMitEUmfUs4GD3kvIYGH0tzHg2SxpXee36w1OwVc/mQ8rX6qKm8PlIR4EYJBoPYsmULZsyYgZNOOglLly7Fzz//rBQ7+VkAKR4ZIMnAZWiHSjYPgQztkKEByeTRXxIuOZp0tMcuPT56orAmAy4qKkL//v2Rk5ODeDyOE044AR6PB++99x7Ky8tVl1aGr/mdMoxqMBhUqUNm/5999tn4+eefUVRUhOOOO04JPyZISqFVXV2N7OxsGAwGVFVVYe/evQiFQhg1ahSqq6vxxRdfIBwO48ILL0RxcXFKJQR6k9kxNjs7u04o0mw2w+l04oQTTkBeXp5irN9//z1WrlyJF154AeXl5Vi+fDlmz56NPXv2qHlkmLh169YYOnQoSkpKUoT2pEmT0Lt3b5SUlEDTNOTl5WHFihWwWq3Iz89XNfhpgIwaNQpTpkxBcXGxCpMT86o3BhhWLisrw2OPPYbi4mKcffbZMBgM6NChA/74xz9i9+7dMBgMWLlyJcLhMPLz8zF8+HBUVVXh008/RSAQwLXXXovMzEzMwAw17mg0irPPPhs9e/ZMUSR+baSHP/xS6MOhENdLnnnmM0j4x/r162GxWHDLLbegX79+KbyzpKQEl112GdatW4dQKIShQ4eia9euMBhqa/Nv27YNe/bswXPPPYfS0lIFRZH8lc8uyzZS8WTEhVArTdNw5plnKoM5kUigf//+6pn+85//oE+fPnC5XCqRFUAK/5aK+eGgpoCy6Il8QTp99Ma35J+M3vI6vg8kS+ONGTMGVVVVsNvt6hrizxnVoMFEY3z48OE47rjjVC1tQiv4/DT+8/Ly0KJFC1RUVGDTpk2q3DCNAOYdAFAedL5G/iLhGTSqJIRH5iVwbpqC0uk7R4pkOVgqulxfGrHSscjPAFCRfp4xvedfvs5qOEuWLMHYsWPRq1cvJQMYQeaeAJAy37xGvy8Z3eE1R1sn+qURj2avmEvLQz/hRxLKAkBlIodCISXsg8Eg/vGPf6gQPQC0aNFCWdkSJiE92xQGDN0wEUYaAIS4SM8DE45kZvrROsiHSjIcezTHIJVp2cWNQjYQCMBisaBfv37o1q1biidg7ty5+H//7/8ppZytwzVNU+sosXEUViaTCVdffTUefPBBvPjii6rCDxNegFrcdkVFhRqnFO7BYBAFBQWw2WyIRCI477zzMGDAAFx77bWYO3cuCgoKcOGFF6pzIROu6OWQCXJAKiPT1+neuHEjpk6dii1btiAjIwObN2/GuHHjUiApxPV17doVXbp0Qbt27RRsy2w244EHHlAMnvM+b948dOzYEePHj68Tmnc4HKqyA+eDcyEjEnw+YsD//ve/Y9iwYZg2bRqys7PRvXt33HPPPXC5XPB4PJg4caKC9pSWlmLAgAG46qqrsGnTJjz77LMwGAwpinkkEsHLL7+sEkCZQ/JrpfoggUeCuL943uhwYAlQVlOZN28ecnJy8Ne//hVAsoKLptXCBydNmqQ8c+SnwWAQo0ePxogRI3D33Xfj1ltvxfXXX6+UK/JYi8Wi4E9UMshPjUajShw2Go2oqKhAZmYmHnroIXUuI5FISsWs2bNnK8giIRJMMOZ51nvPfqm8qg/6d6he+XTXSwOD18juppxPeU+9Uk6hIVd2AAAgAElEQVSvJb//xRdfVN5XyjZi/k0mk+IhjG4wiigbj/G72ATKZrMpOchclvz8fADA7t27kZOTA6CW9zK6zPNPuAQrAElDn2OXkW4571IOHG7iGT0a55QOD1ktR/JZmaskowf6CDGfA0hCgMn7uU/Kyspw9913Y/HixWjXrh00TVNJ4FKJz8jIUH0uKGel3GIukzQqjpZins5jfqjU7BVzoC5D0zOmI4HHYljVZrNh/vz5+OqrrzBkyBAMGTJEVaRYtWoVvvjiCwQCARWW0R80vbUnQ55kGPyfG48Mkh5cOR+87mgkxB4KNYSNPJIlxeQ66BvLyGo5vI5t30l+vx8+nw9FRUW45JJLYLPZFIxC1nilAMnKysKnn36Kzz//HFVVVeq7iYOlp4ahRL3XweVy4euvv8Ybb7wBr9eLu+66S5X9KywsxNVXX402bdpg1apV2LdvH/7whz+kJGSR2MIaSEJsGBUIBoN47rnn8OGHHyIcDuOBBx5Ap06dcNlll6GmpgaFhYXKKI1EIkqoFRYWYu/evXj66adV50WTyYSvv/4aCxYsUM/EercGgwEff/wx8vLysHv3bjW2nJwc+Hw+eL1eZGVlYdCgQRi+vyRbOBxWwoEeeomdNxqNuOCCC3D++eejV69eCvpCQZ2Xl4eioiLF7JctW4b//ve/GDVqFIYNG4YXXngB1157bQpHNJlMcDgcKaHSXwvpsf/619MpiU157sij6KGmUGdVjNWrV+Odd97B9u3bceuttwJI9ndg5IivMQyeSNQmIfK8MSFUNq2hYq8fC3mvTEJkiFyWC6TxzrHG43FlxO/bty+l4zLvy30ilRp9HsuhUDphL73yh2v9ZEKfLFdJkoY0+YveWyk923QuESsOQEE4+V1U6vi9RqMRTqezjpzTtGRVH+bMkFj7vqysDA8//LCCSEWjUaxatQoWiwX/+c9/sGzZMgwaNEh53YmP53ilYphOSeae+aWkd9rJ528oottUJPMgZA4Az670jnPfyfflHuCz8G/KN342Ho+jrKxMnW1N01SzOUZw9UYAxwgkO7HLcy6jGUfbWfk/7zFviNJthqYiudAvvPACvvzyS7z55ps444wz1OZ59dVXceONNyqlzel0plRYkQdN/i9LQJGRMTlFeirocZXeTRly+zVROqajNy6aWlEgpfN+ULjoPQd6Gjt2LB5//PGU9/ls0piLRCI4+eSTceWVVyolMxwOK68NAOXVIa6RjJuCatWqVZg+fTrOP/98PPTQQ7DZbCpKc9FFF2HIkCG46KKLMHv2bPzxj39UzFAyUJb9k01EKBT9fj9ef/11pZjcfPPN6Nq1K6ZMmaLGBCQjN1Jh2rJlC95///0Ur0lZWRn++c9/Yt++fSqaIIXOjz/+iG+++QbBYFDlaZjNZlRUVCCRSODqq69Gjx49YLVaUxL26NHivcLhMAoLC3HHHXdgwIABqiwfS+2xSY3b7UbLli0RDAbx9NNP4/3338fHH3+MTp06YfDgwejXrx+QLOyhwut8bhoEv4bkT7l3gFTheDTGwnPNmvxms1nVvdc0DcuWLcMTTzyBcePG4ZRTTgEA5d2kx81gMCjBzcR66d2TwloSr6FnXgp5KuQSJhEKhVK83vrcEVJmZqaKrvEesm457324SK9s6J0+UolpDO+s7zr5HeFwWM2R/Iz0mOvHRsVKwi4lpEiuEf+WRg1xxvIZDQaDcoDJcrUVFRXIy8tTBlhxcTE2btyIefPmKZ5DyAyhUuvWrVM5NqzcRFlKp4J8Hr0XOZ2xdyiUzkF1NBVKuSY0TBmtkKUJMzIyFDyTcCIWO5BwW34XALV+/Hw8HkerVq1QXV1dm1ANqL0m85Pi8bjKt6PckYo494w8p9yfR5oOp8e82biA5KbnoefmoEUrFdwjPfEsr0aStTYTiVqc7eWXXw63240xY8bA5XKhtLQUiURtwmh2djZatWqllLDNmzcr65zZ4QzZU1BIhmG1WlFcXKwYf01NjQopNjfipuRBoseUayt/50GqLyrSlKQ3kuTrUtjJHxnhoDdGermJKWcCFPcJlV2Hw6GML7vdrrx8ZEqcH+nFTyQSKCwsxAcffIBdu3bhtddeg8ViUV5het/D4TCys7OVl5geR7PZjEgkgurqalgsFsycOVNVMyE+ds6cOWjZsiUWLVqkDIauXbsqY/Cpp56C1WpFaWmpEl6apmHbtm0YNmwY+vbti61bt2Lw4MEIBAKIRCI4//zzsWPHDhWKDAQCuOOOOwAAf/nLXxCJROB2u5FIJPD555/j+OOPR3Fxsdo3s2bNQosWLVRzCYY6AeCSSy6BxWJBUVER8vLy8PPPP2PgwIGwWCwoKSmB3W5HTk4OevbsicLCQphMJsycORPZ2dnw+/1KyK9btw4OhwOzZs3CmWeembIPDAaDqpxDY6E5K+XcN/zhOuo9cDIP4kidMxpJNLBCoRCys7Px3HPPITc3F0uWLMGGDRvwxBNPIBQKobKyUiVq+nw+RKNRLFq0CN26dcOgQYOwZcuWJAxtP7GmfosWLdRZ1LTaeuaRSASBQEDh0HmGmeDGswTUKpJZWVmqvFtVVVVKkxOS1WrFzp0764TtOWYmMx6q84TRBUIx6LDhs+mNr4N1UtXnEfZ4PKiurkYgEFClKcmzeA7YEAyA2m+7d+9GTU0N7HZ7SoUaYvb18yfHSmVb723n83Mvyy7BFosFubm5KlI5cOBAvPHGG9i3b5/K0+HYpkyZgmg0igkTJuD6669XjW8SiYSqy86xBQIBuN1uBINBJBIJ5OXlqWuAWvnMZz+U9eQzSacdid5erq0eDtWU5Ha74fF4UmCP3HP0aOsTnTlejk9G6ignmKRpt9vx7bffokOHDrj00kuxYMECdOvWDT6fT5XUZWSS5zMWi8Hn8yEYDKZEtZjM7ff7EQgE4HQ6YbFY4Pf7VVOkpiC9AcqKT+yh4fP5lLFHg0ZCgBpLzcpjTutHCg0ZmpDv8X295c7XG037Z0APZ0g3NmJmiatlKE6GfxKJhMKhcvMwaZAlg+LxODp06KAUcwDYunUrZs6cqRq9uFwu1XadigXLyRkMBjgcDni9XoV5lyHUxj5TUxGT9bhmDAcDyTXleyT9HOpfb3ISJ+FA80YFmsaiZCZ6b5AsxSYVdoaJ+R4VXQoMGRmJRqN44IEHUFJSosog0gvF6wmX+eMf/6iqnNDLTUbG2sJnnXUW7HY7nnjiCWzatAkXXHCB6uLJM2Y0GpUib7VaccYZZ8DhcGD58uX45JNPMGrUKLz00kt4+eWX0atXL9xwww3qWckwWRUlkUhg+fLleOaZZ/D2228rYce9//jjj+Pzzz/HqaeeikGDBqk5BmqVrcGDByuIQ2lpKQYNGqSq1AC1gjIrKwvXXHMNunfvDqvVikAgoEp2sYHJ66+/rjzgGRkZCpf+2Wefwefzoby8PGWdNU3DNddcg9LSUpx77rnKQ3+0ztXBkIRq8ZzJsyj3KHnSIYeAD8BvZJUHWS7tjjvuQDgcxvTp09GvXz+0adMGAFSDmueeew5ff/01rrrqKvTt21dhvxOJhEqIt1qtMBhqqwY999xzKCoqUvh0g8GA8vJyvPrqq1i2bBk0TcOTTz6JvLw8FWkilEaeW7PZjNtuuw2DBg3CddddhylTpqBDhw4wGmu7XmI/zPy6665DYWGhUrCYtKZPECYf4O8HIj0UgK+lg41Ib65UjhpzrxSPreB/9C5TGZc8zuFwYOzYsXjyySdxxRVX4Oabb8bpp5+OSCSCrKwsPPjggxg7diz69u2ryrcCyfK03GuSVzY0TukJlfxFOn+IVTebzSpBnsohDQPKar5PBTMvLw933303Zs2ahYULF+LPf/4zLBYLnE4nVq1ahW+//RYPPfQQevfurXhSOkhbfXu/PlkmIRi8jq/JijPyOZtEQRfrzrPEezOqJUtc0nPN62SlFAkrokOAUEWWYqRjJBQKweFwKPiRjOByj2dlZSnUgdPpTIEucX3LysqwaNEiXHfddWrfsvGcpMPFs9MZs7KZmN55c6j6S7NRzKXVL5UDIP3D6cPi6b7rYCidgi+JzCAWi2Hv3r1IJBLYtm2bspq4EWpqamqZN6A8PT///DN27doFt9uNHTt2oLKyUnmMyewWLVqEl156CVOmTFH1s/mM0oOxfft25SEgo5PhHP0zHQ2SCYT6MCBQ/2ZNt55HM7SXjsgcuB+obEhcKxOa9IYH4S0yNCw/x70kvxeoFWp/+MMfkEgkUFVVpTrVUQGmsulyuXDWWWepcZKhygS3UCiEdu3a4Q9/+AO2b9+O2bNn4/e//z1efPFFLF26FG63G0DtGtLTCADdu3dH9+7dUV1djUWLFqF79+5YsWIFvv76a1x33XW4+OKLUwwNCh2W//zmm2+wYMEC+P1+tGrVCh6PBwDw1Vdfqeo2N910E4YPH668/B6PB6FQCCeffDLee+89PProo2jfvj369+8Pu90Ou92uvGl5eXm4+uqrccIJJ6QwSZ/Pp/IDfvrpJ4TDYWRmZuK4445DYWEhfvrpJ5SVlcFkMqG4uBi7sEutWSKRwIoVK9C/f3+FeZQlT5sDSYEuf4C60DC9YkelXEayfokhXN+8SC8o72swGPDyyy+je/fuuOOOO9C6dWts27ZN5TL4/X7Mnz8fixYtQt++fTFw4EDY7XYcf/zxcLlc2LVrF5xOp9qjn3zyCRYuXIjbbrsNV155pXqOmpoavPvuu1i2bBlMJhP++te/olWrVioXQvIqVgUCgN69e6Ndu3aYOnUqxo4di06dOiEajeKLL75QirnMf+DzU4mVOHgZBdZHBtPNoQzJpzhcgLTrKfmHVHwPdC+5HpLk2OmdplJmMpnQo0cPWCwWfPbZZ+jZsyf69+8Ph8OBb775Bt9//z0mT56M/v37p5wVRnr1huCBYAfy+Yjxl9EQGY2Q3x+NRrFt2zbVWZRVpLZu3aqel3xz9OjRmDJlCr777juMGTMGI0aMQCgUUpWjSktLU5qoGQyGOorfgTy00tmojxLLMyufGUieqSPBc2Suk4Rv0avPMUSjURx33HEwmUzYtm0bHA6HMryYYA0ArVq1Uh0/KS937dqF9u3bKzw5AAWnlHJD0zRs2bIFe/fuVQax2+1W0aOsrCzE43F8+umnWLp0KcaNG6eqyQD797TY+vr1OVQ+J/cZz1+6KOov1VuajWIOpHpvSNK6ltfxPYmf1b9/MNSYUKPP58M///lPfPvttwiHw5g4cSIWLlyIu+++G506dcKqVavw6KOPYvHixQCAjz76CGeeeSYCgQDWr1+PSCSCF154AYsWLVIChUkuW7ZsUVnr8Xgcu3fvRmFhIVwuF55//nl8+OGHAICJEydi5cqVuOaaazBo0CClKOo90Hymo0HpvBqSkaZ4aoAUhqpfTz2DOlLjr484DlkijP9LhUcShb/L5VLKHeEl9NYxnM7kSCqcUggZDAZVSoz4XJvNprx+kvkwDJ9IJBSciMYbhcoVV1yBgQMHomfPnvB6vaohEVA776wDTEEdjUZRWlqKP//5z7jmmmvQv39/vPPOO6piDQWiwWBQyc+8V79+/TB16lS0atUK+fn5WLp0Kfr06YPCwkKcc845GD58OHr37q2eld9DpZqKvKZpcDqdcLlcqlUzGzFlZmamJCZpWm3SLhm9xWLB3r17AQCXX345evbsCb/fD7vdjtzcXESjUYzGaDWHoVAIc+bMUdexQUlzTALV8z+9AsOwsFTcZOlJetJ/iUCpj99Q8ZCNS+j9XrJkCcaPH49EIgG3263wpJWVlVi1alWKQtS9e3f84x//wPLlyzF58mRVRSUSiaBLly745z//iZNPPlkZo5wTQgTZ+wFIeoXZkZZVWQCoaExubi4mT56MuXPn4r777oPZbK7txFta+1zSg8vnl3hq/RzoI74HQ3reKSFv3PPSuVWfs6ah7yRR3lLplePms91+++0YPnw4PvnkE4wcORLRaBTFxcWYMWMGevTooT7LymKE+UjliWNuSE5J3kXljzk6dDaQ11EWsrTfhAkTUFZWBrvdjm3btiEcDmPWrFk4++yzcc4556TkrTz++ONYsWIFHn30Udx+++3IzMxEly5dcM8996TkJRBaYbVaAaGb6/s2NDTHUu7plXIJR+OZ1Ue+mooIl6IRZrVaVUlTGfW2WCyYMGECPv/8czz99NPYt2+fWgMaOwMGDMCMGTPQvXt3mM1mVFVVYcaMGVi3bh3OO+88DBw4EEVFRSkdzwEofvzMM89g9uzZWL16NQBgxowZ+Oijj1TJX8rCdevWoW/fvgBSZXI8Hk+ptKZfn0Plc5QtUtbLijMy8ih1oIOlZqWYA0mvAzekxENKqs/aBNKHmg5Ejf3Mjz/+qDCMHo8Hmzdvht/vVw0Svv32WwSDQbTbXwLoq6++Uli41q1bA6gtQRcMBlX5NZm4IksmEn9eXl6uOmiVl5dj1apVuPTSSwEk20anY3BHW4HgWsoKB+k2ajpvAkkKmyNFDQlPKsAM31VVVWHz5s2wWCyq2x8ZK9eVHoWffvoJQLKzp/QGURGnwkB4ChUaMkb+L2vLSgoGgwqT17p1axiNyUYtPp8PeXl5ivl16dIF3bp1AwC1h6m8AUgJT1J5KS4uRocOHfD2229j6NCh6Nmzp1JqZMKX3pPQq1cvnHTSSdA0DeXl5fj73/+OL7/8Ej179kTLli3RrVs3bN++HQDQpk0bBaOhYt+xY0dVs/qbb77Brl27FCNk58+vv/4aFotFVb3hWubm5sLj8WDbtm04/vjjYTAY0L17dxx//PEwGmvLR+7ZswfFxcUpc9mhQweMHTsWQK1yxyTVo9HuuSFqKMLEv2U0ikqdzPE4HGXG6jujcgxSaR02bBg2bNiA9evXK6gfoQYejwfFxcXo0aMHWrZsiXg8DpvNhv79+8NiseCVV17Bd999h5ycHEQiEYwaNQoXX3yxOi+McBiNRvTo0QM7d+5UkRgaB0Cy/jIx5tJpEIvFcN555+Hjjz/Ghg0bEIlEahXz/UQ5JSGOnFNpGPD7GquYH0hZ1v+kW0/epyG+mc6ZAyDFiJd8inAdAOjSpQs6d+6M77//HnPnzlVY5FGjRqnIn4wk6sfM+TiQV5/fBSSrgUiDhIYRjS46Ishvv/nmG+Tn58Nms6Ft27bweDwKXsH9aDAYMGTIEBQVFeH999/Hd999h0SitmY9y2NyLugsiUQiKYp5Q1HgdNfoHU+SpFGtN7Z+yfk8EMl9xPsSYsJ9wvN7xhlnwGw2Y8mSJVi/fr2SSzU1NXC5XLjgggtwwQUXqO+uqanB3LlzUVZWhptuuglDhw5FIlGbN0THj3Ts7NixA1u3bkVxcTHsdjt8Ph++//57ZGRkqB4DNKzbtWun5E0sFlPQXoim6Pp5+yUGMv/Xr226Knx6R3NjqVkp5jLEIxmkPpxHkg8vmf9BJWjt/9rGQFnMZjNuueUWnHfeeQp/RUUFqA33T58+XWHUqJT6/X7k5+fDZDJhz549KaFdehX9fr/q0EiljGWmrr32WgwbNkzh6QoKCtChQ4cUfBqZlv6ZjhZJ71s6hbs+g0rPkPh/kyfdie3V0Lyx/CErrXz44YcoKytDIBBAIBBQ+GUKsUQioRRsNp/Kzs5WCiWFKddPn8wWi8VUy2h6h1itR54JZsnbbDb89NNPmDZtGqZNmwaj0Yiamhr4/X5kZmYqKAf3lvTmW61WhTMEknAYAMq7FI/HMW7cOPTs2RPvvvsurrjiCtx0000YNWqUGou+/BiZu6ZpePPNNzFp0iRs3boVd955J84880y8/fbbuPfeexGLxXDKKafgzTffhMvlgtfrVRjxyy+/HL169cKbb76JSy+9FBs2bFDZ/IWFhVi1ahXuv/9+OBwOBSGjFx2oFerr16/H1KlT1frSUNyzZw/Gjx9f2wnUlVzrRx99VDFbl8sFv98Pr9eroGbNgfTwE71CJgW6xHnro1VSWTpoOgC/icfjCvdJAR6JRPDII4+oVuhMGGZJPSp1OTk5KCkpUclj8Xgcbdq0wTPPPIOKigr1fbxGduPVNA0FBQWYNGkSrrnmGoTDYbRs2VLNB8ebmZmZAjepqalRRqHL5cKkSZNw0003wWg0oqCgAG/gDQC1CqzH41FKuXQkyVKLHE9joELpvKvpfmSiJJVnvVLQGKVXva9bdlY00ZcjrKmpUc+bSCQwduxY9OvXD5FIBC6XSylx7NwoYR/6iHhj9hqfTWLJeW5Zz1zmLZDX1NTUYObMmfD7/Up5N5vNqKmpUc6IHTt2IBQKobi4GA6HAyUlJZg2bRp8Ph8ikQhatmyZAgXk/mBXZkn1QVn4rPr1k4aW/nkpQ3gGGrueh0RiCWR1OPINGq0AVEEKVlXq1asX7r//flRXV6vXE4naYgGdOnVSRlVNTQ327t2LYDCYksBPIzoUCiEare2k7nQ64fV6cc0112D48OEpEV7ydM4hFfTjjz9eYd+NRiPsdnud7p+HG8rC7+NZBKB0N3m/dEZ2Y6hZKeYGg0GVoKKiwoflhMgwNXDwEyw3t5wwo6ERip8NQNf9P+mo1f6fw0E54veO+38ORDo+d7Q85tLadjgcaj1J0gKXBy2dcqCHvRwJasgIYNIQK40MGTIEjz32GOx2O3bv3q28Z6zCwkoRhYWFmD9/Pu655x7s27cPsVgMHo9HJSbS28Yfr9eLqqoqNRZGUuLxuKrGI+EHUjh37twZY8aMwVVXXQWXy4V///vf6NatG7KyslLWgR1qbTYbqqurUV5enmLs0ptIbzkVmIKCApx++ul48cUX8f777+Pcc88FAFRVVSErKyslN8RgMKB3795Yv3498vLyUFpaijfeeAN2ux1Op1PhvW+88UY4nU6sWbMG55xzDmbOnIm2bduqPZGTk4P+/fujT58+OO+88zB+/HisW7cOLpcLO3fuhM1mw5/+9CcMHDgQe/fuVaUkg8GgGtPUqVNVSUopMLOzs3H22Wdj5MiRwOrkWo8ZM0ZhY2l0sQZ8cyG9gatPMpTvM8JCZU56yevznh4M1fd5vi4VvXg8jj59+tQ513oYSDqcfF5enjK4CDvRe8H37dsHu90Oh8OB448/XmFiASjIFmEVbPUuvek8J06nE7169UpRlEhMbpZj5zwSugEky3s2Blqo53d6KKd8Tq6hvBc/K/npwZLZZE7fbt62/0dSt/0/6Uh/7aGQEXXHYgSQHjmSfN8BYMgBvruN7u9MAIPTXJduLnQioj6ZQUVXrl9DhgnzExi90dfwb0o5KA1JIHleeW4k9EfTNGRlZWHgwIEpe5Jdpg2G2sZfBoMBOTk5MJvNWLp0qXJMMZ9DOjkoa8xmMzp37ozOnTsDSK3VT2845SWjGIwqU4nXnzXpsKgvitFYqk9H4RwSCsRxkEcdjIKuHSoG5nBSnz59Ek6nE4sXL8bq1atVuTMyQYbFJMQFSA0PytcO5CmWin1Odk6D1/6aaV/FvqNyX5kou2PHDuTm5qq2ykBqhrnsHAbUH7Jr6n2an5ffpN9/jH59tK9inwqRsx695EvNgeQ50Yehea7oWY1EIvj222/RqVMnZGVlqaRF0oEwyfXRb/Xs7N6zOwVSSaOZyjLlE+EP+lyodETBTmODyr78nEw+3759O8xmM0pKSlK8q+SnDSUlynv9VtfwcFF9slYqgjJiIJVtCVHcu3cvKisr0bFjxxRdhtccbt7zW1n3KneV+v1APK4xuoZEdkieKyNahHju3LkT/fv3x/Dhw1FdXY3Vq1cf0BpoNh5zPmhZWZkSgsTpSsVcVrE4FNJj9ZZpyzB4UDoz+ddNy1csxyZsOmr35/zu3r0bfr9f1fNl+S0giSmT3rp0GK6m9hQAAAY27dcfo18fbdq0CdXV1UqBzczMRGZmZpMbiQdD+oiTVMykMkih/uOPPyIjIwNOpxOBQEAJKZkketD0Gz07a9euVfAyCQGwWCyqBrZ0UqSD9OlJL+DJ+6RSJjsSb9++XcHqiPOWyviBIIBc/6VYiiGDD+RiPkbpqCFZyzMpIU0yMsz3GMWqqKiA2+1Oqfcvmy8ddt7zGzm73377rfqdDoj6nH+N4YESwUEYHJVxRtzYiKm8vPyAUGk9NRvFnGSz2RTWlUl0ZH7S2uTkyodtDOxBQih4QNZ9sy7lbwoz4uwIq2F4hBVVZLfCeDyO6upqtWBkngxJ6bGcktn6/X4VtpI1rOmBkY0NGKqRWKd00BwcxYg7hRGxfsRES4+5TCYB0nvrpKLR1LCcNWvXoNdJvZr0Hsfo10Nr1q5BhqtWWFIhIrayOSnm6SB9MmxOBY68hsYFsdxSQKXDvDaGfotnZ/mK5TC4kp1DAaiERDbkicfjCgogMakNeT31ayBlEmWUVMxZxYb3pIzi+weqysJrDQYD1m9Yr5LnKI/4u6yIQv7N88BqHLFYTFVBkg40TdNUvw3KMglLlWORz8w5JRyQ/UNIfEbCPQhdY26M3W5XGGbi4mVfCVaiYn4NAJVISvie1WpNaQLE5ESXy6Uw7pq9fn2D60mdQuooUmmnYs5GXGxMByQjJIca0WqIfgtnd83aNdCcdeFA9SnmDfFAPRRaRiklRFD+T/jrwaxds1HMefhbt26N4uJidSBokcgapmQk0hvQWI+q9CboPRjSMiUDJVPk5yT0gotEhbzd/uzgcDiscIu8jovGBAZZZkufjCb/JhOR7aYlUyMGltc3B5IKuNPphMPhQFZWlnqNzy8VA27iXxIN+aUUjUVTxp+OmGzE/UChwEQUrpesaCATIanYyRb1bLIAJGspc4/Je2mapkp1UYBwD0jDknuXSgH3YzAYRGZmpuoayjNEvK3dbldCkGPhM7IcGfcbhRVrSYdCIeTm5taJikh8omxWkkgklHfPbrercVDpoFITCoUAJNt6x+NxVSaP3msmhjF5SatwKwcAACAASURBVNNquz3ybwpas9msajHLMxWNRhVEhe+FOiWTYxviO0eb9NAVnie9p47VeYLBINq2bQun06kiAdxnja0ako54duobI8dHOCKTuiRPk/ucPJM8gs8pSxTG47VNu9g3gMQypLIyEpOtPR4PNE1Tzd9kOTqgds9TwZZJi5Ivm0wmhE8Mp8wZqypRmSPWls4U6UBpyMkglWk9HlnKHn4Hn724uDilZb1U0BtaF8kzCC0kXpfJkpw7Ghh8ZnpwZe8FiasnxpjzyPPDz+tlcbq54Hi4HtKo0Xs+5bNUV1erAgxs6iaTj/Wf4X6S8knmubHkJvmHdC41lDugP5PpcgZoUNGAcblcaNeuneKRlBtA08j4aCxaZ0w8O8xf4Gt0UDIhVz6XjBrRocixy+pxnLuMjAxUVVWp3ELyZJ4Zzo2MNiUSCSVraYxKiDNli8zBMpyQzL/SQ4nSUUNnRq8byL/ld/MZOdaDjUY2G8UcSCb+yO5pXEhZ+1SGhfR0IMGiT8YAoBLC5D1l0yB2dAOS9c7lwaaXgF4FbgJmB0shJK32A82F9HbpS7TxgDcnJUFPPBj6hhsyWURvgR4tpVxSQ4p5fcl/rBgh9yaFrDTOKGjl9zDxDEh6R+Q4pECXFQGYACeJypbdblcKRUZGBhwOh/IiSUHA+3OvExsbj8dVDXHem5WCuL8ZKbLb7SnCl140AIrB8rvJuMnAZIdTCk5+D5BsdsJxykQ66UWy2WwpBiuZNpMdJbNnJI5zREbKZ6cnkvdpzqQ//w0lljGCx/0mFSyg6RKs0/EofVKnjITK67l/05F0cMjvkrxafo+maSrXpSEDi95iPUmlTV+mlAqnhLVw7Adj9OijHHJeeH7k91BW6itq8Fw0pAzweiC59jTmpQItvfTpiGdYPy7ZQTIdb9TPf7qIt1xfmZTL66XxKefG5XKpcdHY5ufJm+S+kXxAerhJWVlZynDndYcie/VR83Tzz94UnMcj5ayS6yKdI3xPnwcG1M9vZG8Vqahy3qjcZ2ZmKmNWoiOkx5lEnUfKBH4GSM2rkPobPyv3QLrnbuwc6T+T7rOyPLTeAdsYalZSJ5FIqBbjQCrkge/Lja2nxk6uxDVTcaYgpmeQ5e70Hmr+qDDWfsuN9TXJjDIzM9WmkR5V6TmXjI/jj8fjqoGC9O4xpEiBwHGzNXVzJMJ0qDSlYzANMdejRQe6v4Z63jekXFT3tXR/A6kVBiSv13T/p7umoe/Sfz4zzXtAavUEjk9/D/6t11cMuv95rTHNNRpS50VfWUFyo/qWwARAn68kvz/dOA3ib97XLD4DIKalJpXTa6qn5rA/GyLJTzhW/s3ISbpkxIaM0cNBem8heag0zvi6rA2uV5ZomJEPk9+SX0vFOJ3BTyEpv5cGH5VfACnNkKQSzvuydB+/Xy+A5T0lJPKAvEXHI/XXy2eiA4nyUhr0kqce6H5yjaiY8XVZfjIdpePdvJaKEWWn7GdhMBhUiWAqy3wO/T3pbWVUjK8zKZuKmoy8MFJGD69UorlXuLZ0NEhjRD4Pf+e4pLPlUHiBXGP95wnd4V4+ErJdbyikM1zrM6TqW3v9uKnoyy6thD7JNQOScCLyYJ5zqRdKvsESxolEsmoLzzQNBPI8+TxSnwTqOl3rI/01UuEm/5J7JBAIqDE1lpqdYi4XV1r0JLmBDvZQKIVKOp/1M5CR5rV0ZEFdJcWq+5vfk67kUzoljtfqy0wZ0rzWyJVL4OjgYfWMrj4LsyEhdIyO0ZEivSBpqItlc6V0HkeSVHylcqoXyr/k+eo1WGvfrGvs6fmn5JfyWvl7fWXy9J/RGvG7vF7Pn+s6zOuMIxhKOmL4PyNWVKokPEdGCuujdIqypHSv6b/zUNewIQ9gfd+Zjn/rr+XZotOLmFt93XoaBIRMSO80se801qjIy33LyDodYYyQeb1eWK1WVe6VkDbeR6+Qp3s2OceHGmFqyLhpaO6b2hmgX8PG3qsxay/fl4Yj51Di9yXElU5JOkBlBJg8jPNCw4zwKRpiNMwsFgusVmtKXw7CQGn0EXomvfEHemb9a3oFnUY/z35DFZL01KwU86akBoXG/zBp0I6acn6MjtEx+m3Qb5G/Wi1WRGPRFKy12Wyuk+DYkMH0WyLZOCcYDCI7O1vNCftCsLETFS/m3xBnztwR6eVm9JjvS8gWPeMSLy69upFIRHlcmzMs9GCo2Z/F+oxj/TUaUh2S6a6V3yUjoUBd7daku1Z+7/5ocnPRlZonBuIYHaNfASUa8S+eiCMcCSMSjajXnpr5FKw2K9zVbiSQQCgcQjgSRjQWRTQWRTgSxpq1a9Dl+C7o1LkTlixdglA4pD7vD/hRUVmBcCSMeCKOWDyGBBLYtn0bzj7nbEADcvNyYbFaYDAaAA0YPWY0Nm/ZjGgsCn/Ajyp3FXx+H7w1XgSCAXi8HvgDfvXavop9auzVnmqEI2F1/1g8hrKdZbj4kouRlZ2Fp//xNOKJuPoeb40X3hovqtxV2FexD5VVlajx1SAcCcNd7Ub57nJ4a7zwB/yo8dUgGosiEo2kPEs4Esabb72JliUtAQ3Iys5Cq9at4HA6kGHKADTAmGGE2WKGPdOOrOws5OXnISs7CxarRTF2zaBhwl0TsKNsh/reYCiIaCyKWLyuB6OpIR3H6H+LWPWDUBhCFAHU8fA1V8jhoZB2CP8yjBkwZZhg0Ayw2+wwaAb1nsvpQk52Duw2O4wGI4wGIzKMGbBZbdCgIdOeCbvNjkx7JkwZJhgNRmTaM2Gz2mCz2pBpz4TFbFGvWcwWaNBgNpmRk50Dq8UKo8EIDRoMmgEGzQBThgl2mx1Oh/OwVzs5WtTslfJmTs1l/n4zHnNSAomU8oP/P3vXHR5Vmb3fmcmUZEomlTRqqNJhqfYCopSVVVzFhoW1rD8FxRXZteGui4vKgsquCyiW3dW1LYJYsC2iUqWEjkgLISFlksm0zExmfn+E98u5l6GIgBE5z8NDMpm5c+9XznfOe95zDtDIVWOWvtVqVUqW3CZ607JqBr39/fv3w2g0IjOzkfxKfpP8LLniTDyrqamB2WyG0+kE0JjIoOewsVKA7NrH9zM0o09GaSoL7OcuksPGBJTBgwfjL3/5C8aMGYPLL78co0aNUvO6c+dOzJo1C+vXr8evfvUr9OzZE127dlVrlTxLoJGLx1Cf1WqFx9PQSOGRRx4BAKxevRqvvvqqStIEgMWLF2PevHmoqqpSXFqGCsmHTU5OxvTp05GRkQEAKvEJAN5++20sWrQIbdq0wYwZMzBgwADU19erXIstW7Zg1qxZ2LRpk0ogtVgscLvdqKurg8fjUdVWMjMzcdddd6F3795qvBjG7ty5MyZOnIhwOIzs7GxV2YVhUY/Hg0mTJuGWW27BmWeeCa/Xq5KwgQajqbq6Gl27dlXtwk0mk9pneiP8tFH+w+VwiBP1rsHQ0Iqb1YUYfialgNWASBEhGi3XMFFSi8Wi4Y9K3nkirvBB93vgcz6fD0Bj1SWn06lBZfXXoX61WCyqxB2fR5a6A3BQIuFpaXpiMVuaDFp6Wk7Lz88wP5BhDgBerxeRSAQZGRmaqidffPEFnnvuOfj9ftTV1SEUCiEzMxNWqxU+nw8ej0cZxH379sVdd90Fj8eDyy67DAUFBaipqUEwGEQ8Hlchu9/85je4/PLLVTMIk8mE9PR0rFq1CtOnT8e6deuQkZGB1NRU1NfXo7y8HLW1tcjJycGYMWMwevRoVFZWYsaMGfjwww+Rnp4Os9mMrl274q677kKzZs1+lPE8LYcX8nolZ7ldu3Zo27YtCgsL0aFDB032eKtWrTB8+HCcf/756NevH5xOp0pWlkluTEBjwhoT45xOJzp27Ijf/va3AIBPP/0UH374oSbZb/Hixfj73/+OoUOHYvTo0eqzZrMZgUAARUVFeOmll7B//35kZGSoqiZ0Cj777DP84x//wEMPPYTRo0cjKSkJ5eXlePDBB3HXXXehRYsWuPDCC1FYWIiUlBQkJydj/vz5eP7553HhhRfixhtvRHJyMnw+H2w2G7KyspQBJDmHHTp0QMeOHfHpp5/iwQcfhNVq1YScQ6EQwuEwPvvsM2zfvl01dTGbzfB6vRgxYgTGjx8Pk8mkHGJWZPD7/Q17XoQ0ZX7LaTm+Ul1dramEIys/2Gw2zJ8/H7Nnz8Y555yD8ePHqzbb5AfLykFAA6iyevVqPPLII5g7dy7S0tI0yfb6RK8jCZP17Xa7qmFdVlaGESNGaMo6MgkfSxuvzUom5MbKWtlMBJO1x08l+b7GLKsikT9ss9ng8/kwadIklJeX45577kHnzp0VCLVy5UpMnjwZxcXFyMrKAgBUVlYiLS0Nv/vd7zBo0CB4vV4kJycrSgodqSuvvBJr166Fy+XCmDFj8Nvf/latC/LdY7EYnA7n8R2UJiJN0dGIxWKaUtJJSUn45JNPMH36dJSXlysK0l133YVhw4apxGCZq6ZPytWXc7TZbAgEArj++uvRu3dv5OXl4dNPP8Xu3bvhdDoRCoXQu3dvXHfddejUqVNjCVZj06Ey/ewMc06obHYAQBOC/O677/DOO++goKBAVTKoqqpSCE5GRgYCgQBqampQXFyMsWPHwmq14ssvv1QLKDU1FRaLBfv370d2dja+/vprtGzZEu3bt1foHVH5Xbt2Ye3atcjIyEBlZSWABiTR6/XC4/GgtrZWGWW7d+/Gxo0b4ff7Vbkhop6nUqj0pyp6dE6ifrW1taitrUUwGEQwGESvXr0Qj8exceNGRKNReL1e5OXloV27dgiHw/j2228RDoeRmpqK5s2bw263q5KFwWBQ0/AmFospwxTQJp/QmGfyCR3D7t2746qrrlJriwbv0qVLsWjRIpXIRoUoD9Vu3bqhWbNmyuGIRCKYNWsWLrvsMpxxxhm45JJLNNEmj8eDd999F2eccQZGjx590HixGgERUfYQiMViqKysxMqVK5GamqqSfQwGg+KH7t69G5WVlWo/hUIhBINB9OjRA8FgUNVuBxorZrDikj6Z8FQznJqCEPHm/1y3O3fuVHzhzz//HO+++y5SU1NVuUvWQma5PQD49ttvYTKZYLVa8fHHH+O9995DMBhEamqqpqfD9xXqTpYFrampwerVq7FixQo4nU7lSLBahHw2ov1cx1y3+kpUTb2iz4kUWSGDzpPNZkN5eTnWrFmDdevWoa6uDl6vV1VsCQaDWLVqFdavX49du3YhOzsbJpMJ1dXVcDqd2LBhA3r16gWbzaahC4VCIfj9fqxZswbbtm2D2+1GUVERNm7ciA4dOhxUPee0nFyRvSzq6+tRWVmJoqIilJWVwe12Y9++fbjwwgsxYsQI9Rlp3+jLNTJaxYReRlT/+9//4qabbsLQoUPx2WefYcmSJaq3Sl5eHvx+v6ZSUFOSn51hDgDBYBCRSERNJikmLJnIkoWTJ09GmzZtUFNTg+nTp+ODDz7ADTfcgLFjx2Lt2rW4++67UVpaitLSUpx11lm4++67MX36dPTt2xcPPPAAMjIyEIlEEAwG8cYbb+CRRx7BHXfcgYsvvhixWAxlZWVwOp34/e9/r0L2o0aNQv/+/XH//ffD5XKhpqYGHTp0QDweR1ZWFh5++GH07t0bU6ZMQV1dHR566CHk5+efNsqbkCQ6gKPRKFauXInnn38emzdvRjweV01t+Bmz2ayaAMViMXi9XkSjUWRmZuLdd99VaCNRBX3FB6JAkjJANIEGEJ05WZKMiozGj6w9TmOKxtI777wDm82Gl19+GV27dgUAVWmBn9FTwGSDpeTkZPV6XV2doqcA2jJp0sEYPHgwFi5cqNAw1m7eu3cvRo0ahQceeACXXnqpMuKrq6vhcrnQokULVY6LwmeTTVhOy4kVg8EAl8ulmXMAuPXWW7Fz5044HA7s3r0bABQqyo7BnCeTyYT169fjT3/6E7755hukp6fju+++A9CAdhuNRvh8Pk39bMrRGMSBQAChUAhpaWmoqqrCzJkzsXLlSixatAi1tbWqmgepN5fjcgDA7t27UVBQgEAgAJOpsUkW16qk6OjRvp+TsOwvHRk2ZHrqqafw8ccf41e/+hXOP/98ZGRkwGKxYNOmTXjyySdhMBjw2GOPweVyqQi00+lEMBjE559/jvvuuw+zZ89WVLp4PI7Nmzfjd7/7HR588EG0a9cOPp8P77//PkaNGoXx48fjpptuUoZeUzPIfg7C6FQ0GkVycjL69euHGTNmqP4Kzz77rOqXQZGNwBLtbdnMimsrFouhvLwc8Xgcf/7zn9GtWzf86U9/woQJEzB48GB06NBBVWSJRCKA68cYjcTyszuZ2LCBqEtSUpJCnDn5eXl5uPDCCzF8+HC4XA2z9e677yIpKQl9+vRBnz59UFhYiCVLlqC4uFiFMc877zy8+uqraN26NYYPH66MHaPRiJdeegnvvfcehgwZouEGZ2Zm4owzzgDQ2Oiobdu2GDp0qEaJs3Nh69at8ctf/hJz585FOBxGp06d1LMdiUv5Y5Ri+rlJInSMxvSuXbuwcOFC+Hw+FBQUoKqqSiEHycnJSEpKgs/nQ21trVJA5eXl2Lp1K6qrq+F2uw9qvkJ+rqyp7PP5sGHDBlgsFqxevVrRQyTiwBJkANTal008iCTIagfbt2/HvHnzFIq/Z88eeL1emM1m7NixA0OGDEFOTo76PNc+Py8pJUQ6iKLxGbxeL5YtW6aMt5SUFCQlJSE3N1djSOfm5qp9m5qaioyMDASDQbW/8/LyEIlEsGTJEvVM8XgcrVu3RlZW1hG7v52W4yuJmv6QFijbrkvnjPQP2c3P6/WiqqpKrVnZUZPvkY1MDiX8u6SHmc1mRCIRxONxfPnll1i+fDnmzZun+Zy+vj3zRmTip742sjxbgJ9+VCYej2uqYehpQ7L/iD56yLlJSkrC+++/j6KiIhgMBpx11lkYMGAAKioqEI/HUVJSgvnz56Nbt24YNmwYXC6XhqJkMBjwzjvv4K233sLs2bMVHW/37t348ssvsXPnTlx++eUqArdr1y68/vrrWLFiBUaNGoXk5GQVeTuVReYk6c8k/XgCjfYRf5eNcvRjxXV/qMZ6/BuFDqqkK4bDYbRs2RItW7ZU3/X5559r1pTsyM57knQ4We88Go2irKwMX3/9Nfr374/09HTEYjHk5eVh+PDheOWVVzBixAh07twZBoNBUY71IhO39WMkx45jdbyTh392hjmND1lCiS2cOflEpJkMCkBRAZiYlJaWhvvvvx/19fVo1aoVAKCmpkbVSyVdgMZTIBBAUlKSquFqtVqRk5OjWezsThgIBBQFhhIMBlFXV4fU1FSEw2ENMipFGRw6fXO4+qKn5fhJIlSMhxUTNHv06IE//vGPqlso+bQA4HQ6FUJos9nw+eef495771XUCyo8fgcdPLvdjtTUVKSnp6OsrAyXX345kpKSUFVVhaqqKnVA1dXVKcMmJSVFY6zz/vle2Ynzgw8+wMMPP4ytW7fC5XJhxYoV6rAsLi5GTk4O3n77beTl5SEWi6G6uhrxeFxRuiKRCPx+v6olazQa1fdLqgNRcIvFotAz8nppxMvatMFgEJMmTcJTTz2lEvGi0ShycnIQCoUUNYx0mqlTp+KGG25Q1zqdI31yhHoTgErWfOaZZxTKNXPmTPz9739HRUWF6jpLgxlo0GutW7fGlClTlOG3YMECPPHEE4pyxeRL4OC69IcySqjz7Xa7xhmQup7fDxxc3z47O1vVPq6rq1MJ/xK1595mUYGfuujPDP3vkg9MlJxnKYsrAMC4ceNwxRVXYPTo0WjXrh3i8TjcbjeMxobmUwTP/H4/UlNTNQYgdQkNI4PBgK1bt2LixImIRCJ46qmnlH6tq6vD4MGD0bt3b7z88suYP38+Lr/88sYOxaewFSSbYyXKoZF7QoI3EqiRQiNYzoWeCimvAzTuRa4Frge+RioK38fcA4psEMVGU5xzk8kEh8Oh1sL+/fvxwgsvYOHChXjxxReRkZGBuro6FanV080MhoZu7DLHUE9Bk07LofJEjjcl6hRekocWPUeJrwENA5yRkYHMzEz4/X4VimeCjwzXE60mV4pNECTXV1aZoMInsqLvjMb3M8kIgAa1pIRCIXUdKaeT106uHCraoOeVAo0NKkwmEzp06ICzzz5b8z6iajQY+Xo4HIbb7QbQWHeXSlPfEY2IH9DQkrq+vl6TDEWHlMp606ZNWLRokfqepKQkpKWl4euvv4bH41GOJXm+drsdHTt2RKtWrbB//36sWrVKrcFevXqhTZs2ah+Ew2EVkaJwLfO59YcA6TZpaWmw2WyqzrHValWJrg6HA16vF2vXrgUADBkyBBUVFRrEVfKU6ehwr+nv5+epAU+uSOSJPO14PI7evXuruW/fvr1CPYm00VDm3rBYLOjevbu67tatWwE0NqLj4SqdV2kkSINc/5rkp9MQ4HrVo2HS6GArccmdlrQNebj/HEAQfa6TRBw5rnv27MG6deuQnp6Oc889F927d1eOEKPPNNioRyiyI2YwGEQgEFD6r6amBkuXLoXT6UTfvn2VUR6JRJCXl4fmzZtjzpw52L17twLITiUdEIvFDiqATYAwUQRDOk0ANPpY/146m4na2evfq993FK4F2XkYaNTJNJqZxM1rce/wuvouvfIZ7XY7ioqKsHTpUnTs2BHhcFgh7FxPnHveo/65mgKL4BRZkkcvMtmMSoTeFEPq/Ds551S4VqtVLUSz2Qyfz6feb7VakZKSAp/Ph3Xr1uH111+H2+1GMBiEz+dDx44d0bZtW7Rt2xZAI4LEFtKUYDAIk8mEvLw8ZfDHYjF1L3wGmRDF17igo9HoQZ3s9IgR5cdegD81kSirRMe5ZuiVy4QwCpM2WaFCGhJAY/lO+Rmv1wubzab4k7JRBjvhyY55+/fvR2ZmJpYvX454PI5PPvkEY8eOVZ3NDAYD3G63Sp4jx5ecPqL3FRUV6rpGoxGXXnophg8fjlgshpKSEqxfvx4LFixQlRT69eunaADRaBR5eXnK6JJhRz4veYFEv2mUtWnTBjt27NAY8PKwr66uxhdffIGlS5eiqqoKf/vb3wBoKQYffvghLrjgAvWd3EeytKjsAndaTqxIVDMejytk2+fzqXKazJFgTgCNc1Ux4cC/YDCo1jzXl+yuB0AlD8pGNYD2kKee5eEeCAQURctoNOKss85CRkaGWv9cf1VVVVi5ciUwuOHZwuEwHA4HfD6f6mLJs4TrVlZ1OdWS9CV1QZYqpW6U+5g0k08//RRbtmzBihUr1FgR/QwEAnA6nWjVqhWuuOIKtG7dWkW16fRs3boVq1evRmZmJq655hqVQwM0UN9SUlJQUVGBZs2aqfGXCC0jLNQ9p4okWldmsxlfffUVtm/fDgDIyMjAJZdcovaiyWTCvn37sHr1atTW1qJr167o1KkTtm3bhqKiIgUGAY08byZm19bWwmw2o6CgAOeffz6Axr2+adMmrFixQjPu0WgUaWlpGDJkiMr14d70+/2w2+0KXJGOczQaRV1dHVJSUmA2mzXlqmUi6e7du7F69Wrk5eXhsssuAwBNQqgEBYBGoIpAEgsBEGyibuF9yPHV0z+PNyj6szuZ5IKUSpReOBVKUlKSCrHQ85YJcfF4XC0uGlLJyclIT0/H+vXrcccdd8BgMCAQCMDlcuHxxx/Hbbfdpvjl8XhcGdv0AAGoA4nGF5WHrBojDSZpcGvoLcIw14eZuIBOpQPiZIneMAcaDWkqEBrkUrkAUAeMRAj0YTO9EcEwW21trVIOUtlJRErSPfh5v9+veHRcB7W1tQiFQrj22mvxwAMPwOVywefzwWBo4GZ/+OGHuP3221XUBoAynJOSkjBnzhw8++yzuPXWW/H4449raAD8XtJnuJckWimfnbkTPJSNRqO6jh7lCYfDivJwxx134KGHHlLPzTFdsWIFbr31VixevBjNmzdXzos0ymkEnHZKT54wx0Bf8hCABhTh/BCQYKUeGRmS612fXMw55VqSSc1ST5JaSAc6OTlZlbJNSkrCzTffjFAoBIPBoKFfrVy5Evfeey9Q1PAM0WgUNTU1ipZFPS0PbO4jnjE/ddHrQBn1k7/TASY17u2338akSZNw1VVX4b///S+ARr3CuST9pHv37pg6dSqSk5PhcDg0+nTu3LmYO3cuJkyYgBtvvFGVqKSQLiPXCe+P+kW+95DdJ39ioqfl0Al57733MG3aNFWpavDgwRqq1caNGzFp0iTs3r0bd911FyZMmIAvvvgCEydOVMnOeqSaZ1k4HMbIkSPRo0cPpKWlAWjYX++//z4efPBBBAIBJCcnK9pl37590apVK/To0QMmkwl+v185XBSeVQASnnd0tvWI/7/+9S88++yzuOaaa/DCCy9oomFAYzOwRHxwaVRLRJ97mXaeBJdk7tZpw/w4CgdZlpKT6AaFRrKsoBEKhZCcnKyZDBpBqampOPPMM5Gamgqv1wur1YqSkhLMmzcPAwcORE5OjmpqpA8BAdCEVWXojgtSUhqkwSOTTaUQnacn+nMJq54IkfOtD3nRw+b4E0G3WCwKqXY6nVi7di3+9re/IRQKweVyqdbRXFPyYNu4cSP27t0Lh8OhuJdUjDz4pRNHxclrcD2zMQ/vOx6PIzs7Gy1atAAAuN1utZ4KCwuRnJysEG0aRUxgraysxIgRIzBkyBB1X7xf3geNdbbSNplMqmyhdELlvbL0o4w8RCIRbN68GR9//DGsVitefvll7NmzB4sXL0aLFi2UI8oyamVlZejVqxecTqdS8KFQSBmEPFwUknp6G5xwIaLJQ5IGN4VrRuoyOk98PwC1l2QUREYVpd4zm80qqVRGa0htMJlMGmNAb7wz/4cUKn7e5/Nh/fr16nNc2zQwyTGngS6joaeKztWfjRKIoBPC15KSkhAOhzFr1ix89913GDlyJIYPH470E0jPUwAAIABJREFU9HQNWCD5x4x+5eTkKAOI1wQayhnv27cPXq9XGYM8E3m2yQihrAYk55yO1KkiiSKAFosFnTt3xkUXXYT58+djzZo1GpAOaCjN3LdvX6xduxbbt2+HyWRCp06dcOaZZ2LevHno0qULOnbsiFgshqqqKixduhS9e/dGbm4uvF4vnE4nXn/9dXTr1g1paWlYunQpSkpKcP7558NgMCAlJQXBYFCVKly4cCGKi4tx7rnnqntmxIMGv+SYywiaBKOko24wGFBRUYG9e/eitrZWrQupV0gplvoEgFojFBllY2NHvl+i71IvHE+jHPgZGubSeyYlpL6+HtXV1YjFYsjIyIDValVcWYZKGO7gJHHj0wBhqCYSieDss8/GSy+9pDiyfr8ft9xyC/76179i9uzZuPrqq2EymeD1ehV3N5FwITI5VaLd0jDnc/He9AcAuVVMxDtUAsNpObLoN6D83Ww2axQMExElSuNyubB161aMGzcOLpdLhe88Hg98Ph/y8/MRDAbVZ2UTIQAqj0HyYAEoBIQGh3ToZFMdvlfmKPCa/B6PxwOz2axq5QONa+q1116D1WrFjBkzAEAdeDIqQyM4HA5ryt6lpqaq0nZcr0TTGBmKxWLw+/3qd6vVivXr1+O+++5TzjErOixevFh9H2uXDxw4EDNnzlS8fHlQs1HS4ZJ4Tsvxl3g8rnidPBSZyC51mjwQeRBTN0ajURXultxU5lFIp9NgMMDhcCAQCKhEMs47E4ntdruGdiEpV7I2PxOXuWZSUlJgt9vhR8NecjgcKueHTiL5z4wQyCiB3pn/qYuMgJFCBECVNDUajSgtLcUjjzyCkSNH4sUXX4TFYlH5W/rcDwIBsocCm5tRxzgcDvVadXU1UlJSYLFYFLIuIygESvTVcWRJ11PVCiJd8qqrrlJG8qJFixTgQfuhW7dumD59Ot566y312YEDB+Ivf/kLPv74Y9x0000YN24cDAYDli1bhvvuuw+TJ0/GeeedBwB48803ccstt2D48OHo168f7r//ftx+++146623YLFY1Jqw2+1Yu3YtxowZg9deew0vvPACfvGLX2jumTaXBLdkwinQCFzKeSZFDmg4DxiF4WdsNpuKvFHPMIlUnwvF0r8SsGV+IBvTEZCS0aLjKUdckgaD4QUAwwDsj8fjXQ68lg7gdQCtAOwEcGU8HvcYGu5yOoBLAQQAjInH498c1zv+gSK5wEAjIs2a0rKSCgDNISDD4Qx7MvFHhtMyMzORlpamJs5ut+OXv/wlHA4HlixZAp/Ph7Fjx6r7kTwpecAQcSH9heinpENIlEg+E5Ibn5ml+Ph9p9LBcLJFj5DLsDs9fckvlRQPlnKy2Wy48sorVVJjOBxGWlqaqsjDA95ms2HTpk345JNPlONns9lUSC4ajSI1NRVAoyOQlJSEsrIyzJgxAyaTCatWrYLf79cY9qQNSE47DWSuZSLzlG+++QaffPIJXn31VWRkZGDOnDmoqqpCWVmZ2hu5ubm45JJL0KpVKw1ixuvSUAqHwyrJC2jswkfnghxGjmGLFi0wevRoWK1W5Obmwm63w2AwYNeuXfj73/+uHI6LLroIQ4cORfPmzTWoq0RWZMTJaDSesodyUxLOgaSrMDpCfcR5IbIuqShcX5KSpM9BkAcpjXfqZGk88oCnoS4/L8t8EghhpKi8vBz//Oc/sXv3btxwww2YiZnq+WTNfn6fjARJORV0r0wypI7jOag3hI3GhiTs6667DqFQCM888wwuvPBCdOnSBfX19YpmRyOe5xsjHtRRFosFq1atwrx582AymTBhwgRcdNFFSE5OVvPMs526RYJwvFdZao+6+VQRffInqSwWi0WVm+V6p+PLPcj1KhMk27Ztq2r7c6/k5OSgvr4emZmZ6ntYDau6ulrRJDm2tH8obrcbNTU1CtgEoIxkrgGeoZIFwPmVNE3u53Xr1uGzzz6D3+/HuHHjMGLECPU39gJh1ReuAf6dEbV4PK7hmFPnEJDlemZ+zIl2sI/mWJoL4FkAL4vXJgL4JB6PTzEYDBMP/H4/gEsAtDvwrx+Avx34v8kJlS4TjlivHIDGSwIakD+WQaRSp0IiD5ETnZSUBL/fj9raWrjdbmUAXHPNNRg0aBCuvfZavPLKK7jllltURj8nXvKX+LPNZtMofS4GHiIMt0oEVE9lsVgsStGR9kA51ZKRTrRIhFwalgzhyvJu5K5SqCSGDRuGJ598EmlpaSguLobH40F2djZyc3NRUVGBpKQkhQItWbIEGzdu1FBXSE3hWmPlFa6TaDSKiRMnqsoswWBQoQU+nw/RaBQZGRkKnZblPY1GI/x+P+rq6pCRkaGeuaioCH/+859RU1MDh8Ohus/yPqLRKDp37ow2bdqo6iwsD8pQss/nU2XOuJ6p5OThziQfjln37t0xe/ZsjWNKY+n5559HPB5H37598eSTT6Jbt24oLS3VNFHiXOkP61gsdtowPwlCFIyHGQ9fSVsBtOXUgsGgOkyJoPGAl+tc8rk9Ho9qx00wQiaZcW1JIZ+UZfloUPBwZp7RunXrMG3aNOTk5OCVV15Rhjn1O5FfVgnhGSHzlk5FUIRnCZ1rNgLi/qqvr4fb7caTTz6JKVOmYMKECfi///s/BRywEzIdcq4JGSWmvP7665g6dSomTZqExx57TJNfw3OQeoP8Z14XaMwvkdWhTqWzT/8sUreWl5cf9MyyjwTnor6+Xo0X1y8LAQANlW8CgQC8Xi8AKKogK9m5XK6DaB7Mj7Lb7eosok0CNKwdj8eDrKws5VBLiiajIzKaBTSCl++99x7+8Ic/YOzYsZg5c6a6d0axeK7oUXRZPUki3rI8LylqdXV1ClDQU4H4fccTNT/isRSPxxcbDIZWupd/CeC8Az+/BOBzNBjmvwTwcrzhjpcaDAa3wWDIjcfj+47XDR8PoQFNlIXoDI11KnQuglAohKqqKvh8PtXEhGFNIpk0rElBkJwmLgpZh5nePXmQ0WgULpdLTbzP51Oeqsx4J12irq4OgUBAQ2GRqKMUeozSsJch49Ny9CIVAxWHzWZTRqNE34DGrPJgMIirr74aN9xwg5pzg8GAFi1aID8/HzfccAPeeOMNlSRHo7lfv37Yu3cvDAaDWn9MMuY6pCOZkZEBr9eLzMxMlJSUwGAwYOHChbjllltUrkNKSopCLR577DE899xzqlqMwWBQdfJpRNOguPHGG3H99ddj+vTp2Lt3Lx577DGV3MnDjuFn3iOgbXUOQGXVS+eQe4f7z+v1qsOC77PZbAiFQvjDH/6AadOmIRaLqTGIx+Pwer0IBALw+XzIzc2FxWLB2WefjTfffFO1VAeguPaJSn+dlhMjnEe57pnQLpFprnuDwaCcQkaCyE8lAkidGIvFEAgEYLfbFYrH9SDr5Eu0jSFp2VmUTia7QbPJV3FxMcaOHQu/34/XXnsNffr00awbj8cDu92unAaeK3JN60vW/dRFPgdBJXYjBho7EXu9XhVdttvtmDRpEiZNmoQJEyao/exyuZQxz6iajIzwvJo6dSo8Ho+GykmjKxAIKAoqx5kNhGTLdUaeZRlGPcr8U5a4LmeGjqDR2FCClvYG94OsRsffSb0lHUSeaQCQmpqqrsnzj70xvF6vokSyeVhqaiqcTqdyriXyLe+FRnk8HlegpkzclvRIfoa6Q5bIJSe8vLwcLpdL5TIwCkcgCYDGUZEgDtDggNjtdiQnJ6uO3IzaAY0AnKz8dTzlWE+mZsLYLgXQ7MDP+QD2iPcVH3itSRnmksfEA1vyDbnZucEZLpOJIkQt2VaWm4BeGJGUyspKmEwmuN1uRX+RXF8aIOQ10TOjQqIHKdEAKhVuHCLhRC5NJpNG2ZAyIdvcSvTwtBy9yMx3o9GoWv9y7oHG/AMeMElJSergNhqNWLx4MebNm4epU6cqWsU111yDli1b4qGHHsK1116LTp06acpCAcDKlSvx7LPP4uyzz8bdd9+tkq2otHw+nwaZI5UjGAxq0EW/349QKIT+/fvj6quvVki62WxGamoq1q9fj2nTpmk46FRAw4YNQyAQUI4e0Gh4MRk6GAyq8eL+kknHEhXj+JGHzzG0Wq346quv8MILL6CiogKpqakIhUJYsmQJgIb1W1VVhd///vcIBALw+/3KMGdy9WeffYY77rgDN9xwAy666CK1P6QxeKpUZGjKIqsp6Ncm0GhAkKIFaNecRJr5v3ydtEPqbuptGgL6KkhE3yV1gjx05mewoc3UqVNx1llnoWvXrigsLDzo2VJSUpTBJ+kBfG7qcpkkdiqh5pIaymfjeWSz2ZTRLvXUmDFjkJ2djauvvhoTJkxA7969AUDR+qhH6uvrsX79evz1r39FKBTCuHHj1PdSX5AzbDQaVVdYm82mKYsnoy9paWnqTAcO5N0kTvH6yQttkKSkJDUuTqcTsVhMNSx0Op0JHS3p+MqEXs6zrCTHPApGjggiMgIiueCyo7SkFnLvcF71SdO8L1kAAwBWr16NvXv3YsqUKejevbsqwZqWlqbWHMFQ5jSR8sYojyq121C5VZU9BRp7bEjjm2MjWQ5NxTBXEo/H4waD4XvflcFg+A2A3wBAixYt4HQ6f+itHJVQeTMsQeNYEvkZumCiJEMoLOdEL5KbnxNF71GGXXl9r9eLvXv3IjU1Fc2bN1f3Q2OIQmOHikMeXlzMXPxEnYhGyUNLCjcWaTM0pCTf7LQcm0iEnOPIEDiVjcfjgdvtVg7b8uXL8eKLL+Lpp5+G0WhETU0NLrnkEvTt2xcFBQXo2rUrOnbsqA58onK7d+/G+++/D5PJhCuvvBI5OTmacCARQoZwgYa1TDoJjSGLxYL09HQMGzYMd955p3oW3v/GjRuxZMkSOJ1O9Rketu3bt1fKyu/3w+v1aiJAubm5muYddDz5u1Rycg/xkJVISElJCT766CPs2bMHTqdTIZrZ2dkqGfDxxx9Henq6clIYUcrMzERFRQVee+01uN1unH/++WqOSFWIRqOnDfOTINIQpT7knqHepNMkEU6+j1xVHvgAlOEXCoVUl1DOLdccr1NTU6MOaSacEpwhkCKjT/wu1mJ+/vnn0b9/f40DgQP5nPxuOqM0KiSdI1EU81QRjqWMnBGVlNQjSSvp1KkTzjjjDNjtdvTo0QOdO3dWIISs0GIymfC///0PCxYswNChQ9G/f38AUGfYvn37UFdXh1YHOm/X1dUhNzcXBkND/gnbrsuoZSQSUZEVZXSeIoa5fo0RbebapgHKc0UCL+SC22w2eL1euFwuTYELng1EuWWpaCb6cg65rxKdAzI3hHtWzyiQ9y4jXRLt5ufWr1+P7du3Y+rUqaqgBgBNXh7QyJKgo0IbiOs1HA4rw7yqqkp1DOWZQ8eDe1pPS2sqhnkZKSoGgyEXwP4Dr+8F0Fy8r+DAawdJPB7/B4B/AMAvfvGLkwbdUoHwMCBiIsPmrJRCrhO5SQ6HQxk48iDgBNOLZAgEgKIGzJgxA++99x7OPPNM/Pa3v1X8dHIROdkOh0NlnfN+ZVKq0WhUf+dGk+WFWK5LGhxMGCTyTq4ln+W0HL1IJ4bzzTXg8/lUIwTy6LZt24Z//OMfuPvuu1FQUKDWCg3aeLwxm5wlCmXEZNOmTZg2bRomT56Miy66CHPmzMHKlStx55134sorr8Svf/1rxONxpXhIzaLQmUxKSlL0p0svvRSFhYXo0aPHQaH++vp6tGrVCo8++qgqpVhbW6scZxocJpMJL730El599VVVKSE/Px+33347evbsqRkreW2JnsgEUO497kWDwYA+ffpgypQpKg+kurpaGd5paWnYu3cvbrrpJowePRoXXHABPB6Phgbxn//8B//617+UsgagUdSnI0YnR/SGeTgcht/vh8vlUn9jAj71khSu0draWsVhBRrmktU45Gd4kJtMJuzfvx8zZ87EqlWrEA6HMXv2bDRv3lw5AhLlo44NBoOYOXMmvvzyS/ztb3/DwIEDNXQbWWWF1yAFkfem59QnGotTQRjSp2NNw4dGL+mVjAhLXTJt2jR89tlnuP7663HPPfcowzsej2P58uWYPXs2DAYDnnnmGVW9g30PjEYj3njjDaxbtw7/+Mc/EAqF0LFjRzzxxBPYsGEDZs6ciQEDBiAjIwNmsxkfffQRpk+fjvbt2+OCCy5Qhh/L6p2KIpP7w+EwKisrUV5ejng8jvT0dPW+9evX4y9/+QvKysrQokUL5ObmAmhI1DSbzWp/SPoK964EJQ0GA0pLS5V9RPuEet5gMCAtLQ1er1edfzwD5b3ScObvdM79fr+mcyffy9wtoLFkMfMdCJBJh4S5V6Qjk5JJWbx4MUaOHAmr1aphGQBQAKiemna8GQjHapi/C+AGAFMO/D9PvH6nwWB4DQ1JnzVNjV9OBJxKU6IlNDqorGk879u3Dx6PB36/H/v27VPGA8NjPAh2796NaDSKiooKbNq0CVlZWTAYDKpV8JYtW3DnnXdi0KBBABomk2Xy6Biw6+L27dvhcDhUiDQnJ0f9ffny5YqDXFNTg+rqas3zBQIBoEPjM3PBpKSkwOPxqOYasszYaTk6kZuPfFe5BmiYc1z379+Pf//737j55puVopK0FioHIko9evRAVlaWem9paSneffddjBs3Dl27dsVVV12FPXv2YNq0aXA4HMow9/l82LBhA7Kzs9GnTx+NIo3H44rnZzAY0Lt3b/Ts2VMpFkaIaNzH43FcfPHFGmpAWVkZQqEQ6urq4HA44PV6sXbtWmzYsEE5ht27d1eKUC98Vo4Lla2silBXV6ec1eTkZLRs2RItWrRQvEfSE+T7J0yYgGHDhmHw4MHqQKiqqkJWVhZisRi2bNmC5s2baw4QJvSd5pifPNEnnlGXsoLK3r17EQgEUF1djfLycng8HjRr1kxFE5ncuW/fPlgsFrjdbmzfvh3BYBBbt25FTk4OqqqqVEUs7k2v14sPP/wQS5cuBQBUVlYqw0NyTSORCLxer4psffDBB/jkk08wa9YslJSUKNqgMswPFKWQUSDp5AIHdzzla6eS6KlzPD9JMaKDRIALgMpFue2227Bs2TLV36NNmzbIyMiAyWRCcXEx5s6dix49euCee+5BQUEB1q1bp5LW9+zZg3fffRdff/01Zs+eDaABBBsyZAhyc3Mxb948VW+7vr4eS5cuxYoVK3DWWWehbdu2CAaDivJ0qoieYy4rH5lMJrRt2xa7du1CcXGxpgTl8uXLsWLFChgMBpSXl+O7775DixYtUFJSgmg0itLSUlRXV6ucHtIdCwoK4HA4EIs1lrpt1qwZ8vPzFc/b7/crJ9zhcGDnzp3Iz89Hhw4dkJGRAaPRiKqqKuzYsQMulwvJycmoqamBz+dDcXGxOoOysrIUsMgck4qKCgQCAbRt21ZFxGTVJ55doVAItbW12LZtG7xeLzZu3AiXy6U48eSRI7th3NauXYuRI0cC0CakS2qcHjw46Ya5wWD4NxoSPTMNBkMxgIfRYJD/x2Aw3AxgF4ArD7x9IRpKJX6LhnKJNx7tjUgFJh8wkSLj3w81EIdTfjLESI+LZepouLARwf79+zFv3jy8/PLLyhj+85//jHPPPRcXXHABgMYw0bJly/Dkk08iGo1iyZIluPbaawE0craGDRuGO+64A+3atUNNTQ3cbjdsNhs2b96MJ554AkVFRUhNTUVdXR0WLFiAbdu2KXrCvffei6uuugolJSWYMWMGXn/9dezatQvxeBxDhw5Vbap5eNTX1wOiSKUcD6IVMqSsX2THS6Si1nOx9HN3pEV9Mg+0o11XPGhkohfrkstqBcxFIFoow3Rciyz5NWfOHLRu3VoZDWwL7nK5NAmMAFSSZCQSwXPPPYcvvvgC5513HgYNGqRJnKmtrVX1VyXaQLFYLEqJ8xm4FxhZWrhwIZ555hnU1tYqfvkFF1yAf/3rXwplzM7OxoABAzT0KP7scrnQrFkzZTDLKBHvhcgJ8yeItCxcuBBFRUW4//77Ndesra3VNCOKx+P45ptvMHnyZMyfPx/Dhw+H3W6H2+1W3HLy7elgHI7KIiMJiea/KUuiNcz1xp+BxgTmE8195jwzMTgvLw+33347tm/fDpfLhW+//RYAsGDBAhQVFcHpdOL+++/H0KFDNUj2448/jjVr1ihqVzQaxZgxYxRv9bbbbsNtt92m9g8dMYrkqQKNlSlCoZBKTA2Hw4rucMUVVyg0jglg0WgUWNlwPXZ25tgx+UwfWaNTcqQxPtQ8SAOY43mka5wMmiLpoPy+qqoqOJ1OWK1W2O12hMNhBINBVTde7vm6ujrcd9996NevH9544w18/PHHeOCBBzBgwABFHVi5ciWuuuoqBVJRP4RCIXz99dfqPoh6MuI3depUjBs3Dvv27UNGRgZ69OiBWbNmoV+/fgpUCwaDqKmpAVK146YfS+DQ432kMT7cvjrSnpNzfiz7k1xqm82G9PR03HPPPbjwwgvxq1/9St1zdXU1unTpgilTpuDyyy/HK6+8gqKiIjV39fX1mDZtGr766is8+eSTKhp588034/rrr8fkyZOVrVRZWYmbbroJZ5xxBt577z1cfPHFiEajsNvtSElJQU1NDbKzs3HdddepDqD19fX4+uuv8fTTT6OsrAypqanYvHkzYrEYli1bBr/fj9atW+Oee+7BBRdcoO77yy+/xNNPPw2Hw4GHH35YU3lHnh1WqxW1tbV4+umn8dZbb6GiogJ33nknsrKyNNWirFYr8BXUNTjePOskbYcGeqLcGQpBIEALBh+tGJpCOPcXv/hF3OFw4H//+x/WrVuHli1bHlS+kA+ZiN9zNGI44ErG4jGlaKlQiFZScdLYicViKCsrw65duxTCFgwG0bp1a+Tl5SkjmOGUoqIiVXaLFAdSRzp37oyMjAzFaWK5IL/fj7Vr16KmpgZpaWmKciC5djk5OaoE3fbt21FWVqbK+JBuQ6OKnt2ZA89Uzx6JRhSSLpHCE3UYS57Yli1bkJGRgezsbM196g31n4rRU19fjyTTgWo9dSG1KXmoMwqxZs0aPProo9i/fz9efvll2O12OJ1OhY5v3boVI0eOhM/nU3W5ieAYDI1JMtXV1SgtLcWuXbtQUFCAaDSKffv2Yf/+/cjJyVH5CkOGDMGHH36I+fPno1+/fhgzZgz++c9/4rvvvkO/fv3Qr18/LFy4EGeffTb27NmDzMxMDZWKPHKgsZZ5VVUVhg4diqeffhpOpxObNm3CI488grq6Ovz+979Hhw4dNKHgzZs345FHHsGXX36plCLLXZWWlqKiogIOhwMFBQWIx+OKK1pVVYXevXvj0UcfxYABA9Sa+PzzzzFx4kQ0a9YML730ElJTU/Hggw/izTffxPTp0zFkyBAYDAb85z//wahRo1BfX49AIIBdu3bhsssuw/DhwzFt2jQADQ4yKWmypi31Qn2skT4kHQW9NOV1eqi9xNfD4TDWrFmDwsJC5fBJ5+OHPBvHMY7E50misPXnn3+uDFvqXkkNycvLQ2ZmpqKOVFdXY/369QgGgwo8kU5ZUlISWrZsidzcXPU83D+VlZUwm82Kz0z9Kh1I6vz6+noUFxejpqZG6Xy+hyHsgQMGAmjQrfws7ycSiajSutLBlQDF0UgigErOVzwex86dO2EymdCyZcvvM10/SGKxGEzGA9SzaETdiwQZeMZwPGQfhVAoBL/fj5ycHAAN63LDhg3wer3o0qULkpOTVUQlEAggFospOicdO1ZcMZvN6N69u3L6uLeBht4LPp8PBoMB+fn5aNOmjUJgOZcGgwHmpAO0URwMGsk9IffIseyXQ11XRuxp4LZr1+4gg+9oDHmjoXF9BUNBDZWI379w4ULV6dlgaKjE1alTJ6xYsUKVGmX0l+Nss9nQsWNHuFwufPfddygrK4Pb7Ua7du3g9XqxatUqZGZmomvXrjCbzSguLsaOHTtUZJTItclkwoABA5CUlKRyr0pKSrBt2zaFvBNklDZL27ZtFSJut9vx9ttv44orrkCfPn2wbNky1VmUlfIk4BiLxbBhwwbs379flUvl+iRoZjKZcP555wMA9hTvQX5+vlq7tOlisZiKPHNc6QDIfBKuMbPZjEAggK1bt6Jnz544++yzEQgEsHLlyiMunCYVyyWCrVdex/sw1HNf+b0SyTMaG2rttm7dGq1bt9agy1QU5NXFYjG4XC6ceeaZCb9PbjxWr5AIa79+/TRhXkDrjLB6hdlsRocOHdChQwfNxgEaIwGJUBmZMHEoRXO8hQqFm1L/vfr3/hSE80eR3rKsbU/POiUlBXl5eSgsLITH41HzaLVa0aVLF9Wq2Gq1qpCgTOIkJaNDhw7qoI9Go2jevDlatmyJSCSCXbt2Yc2aNcjIyMCIESOQl5cHk6mhPf3ChQsRiURw4YUXKoOXnQtlFzQaDbKpj9lshtPphN1uV9n7Xbp0wahRo1BRUYH+/fsr9FVGQYjKU8lyrRcWFqJz587w+/2qK6JsQCE7MdbW1mLz5s1YsWIFAKBXr15IS0tDKBRSSUbffPMNjEYjhg8fjlatWmn2VpcuXZCZmYlt27bho48+whlnnIGCggKNI61fg4kMpuNhsDYF4f2TaymTEeUBdiIddRqpkrp0zjnnaJLKAG05Uhp8/Jvb7cbAgQM1OpoGMZ+FyfP8nMPhQMeOHTU0pkS6SCaOAkD79u0PivpIfilF6nXJO5XrSU/jOlo53PqjfmVEi/epv68TMZ/y2fT7SF8nXupMjgPrRANQ+5F5KUBDFZX09HRNdE0a/+QQyzrUNK6YwxMKhRSNRRponIfDlUs9WhT7eIkEBPTr6FBn+tEI97k+IjZ06FDNvgGguibrhVEIucYKCwvRunVrAA1zmpGRgcGDB2s+U1BQgLy8PM1akfuIDlY8Hkd+fj7y8/MB4KB8OqDRFmIpYQBo1aoVRo4ciby8vISRa4lSm0y6NlMgAAAgAElEQVQm9OjRQzMGcv3odX9BQYH6Xl6LyDmvz7wyqVvlHOnnVL52NNKkEPOvvvoKmzZtQn5+Pmw2m1K0rEAi0dZjRcx/jkIk4GSENgEtqrNz5044nU6VbCI9S/6uP+yaqiilfGAt1fpqVWhVX9WBXT6j0ahSYixZydJsW7duVYaRDKnpSxs6HA7lHOrX/V133YX//Oc/GD9+PMaOHQu32w2j0YhXX30VTzzxBDIzM/Hoo4+iX79+sFqt2LRpk0IkmSshla/k0oZCIbjdbqWogAb6TCgUQnZ2AyGPipRG7549e1BTU6OpuW80GhWvVDbk4j8ijEzK++ijj3DvvfciPz8fDz30EAYMGACDwYDi4mK4XC7s2LED06ZNw5IlS/D555+jWbNm6n5pGFRUVGDOnDl44okncOONN+Kpp55ScwgIxalDeqU+pCMkqUknaw8di8hnk446X4tEIli/fj0KCwvhcrk01al+qKFxJMSc98fvkQYTRSZg6sPC1PuJjGUAGmCFojdU5fWlsSEdBz1fXG8Yqd9FBPZwVAVpYByLyLGQSCBf2717N8xmM3Jzc1VESBYyOFHC5w9HwsqQ1KP5MvLHPg9AIy9fOoWyB4d+bcg9qTfYGCnRjxUAlUsi/0aAi/cIQEVA62P1mrnSR5Pk+jqW2vSJEHN9Oc3Kykp4PB4UFhaqdUpH4mhE2jmxeEyN16GiaXRs9PtOnkHS8ZFOib7qlgRojsbZ1ztdemeS6yTRHASDQZSVlcFutysHDji4E7p04g91H6qs5IF1EIlGNOtPT/dN9ExyrVCXsDrbzp070bNnTwwcOBC1tbVHhZg3GcPc6XTif//7H5YuXapKrnHieXjIRM3vy9nJzso+gU/QtKVkX4mmyssPDckdSagso9GoKhHpdrvVXKq6oWgsD9lUE/H0NKH6+nrk5+X/2Ld1Wo6z7C3Zq9YiI2GkqOkR0aZomOsPfa5V3jMrEmzcuBFt27ZVHFKGan9odID6dX/5/oP+Jg9fOqE01hil4cFHip40JHhw8j2yhjDD4wwbyy7H9fX1qtsgjTE+JyOeHCf5fbKMIo05RsX4/Xm5eQAAT7VHNa2SDqqcE6lrv4+hrp9TGlESGdyzZw+sVitycnJUebsTbZgbDAZkZWadsOv/WLK3ZK+myhrnkeMu14DP51NlAg9nh+jPWoreQeXaqaiogMfjQdu2bRGLxRSgcTQlN0/VeTnZsrdkL5KTk1WEjIURpIND5gT/AQdHXVm/f+/evejbty/OOecc+Hy+nxaVhQ9dWloKAGpgWACeHFh6kN83nLRk6xKcdeZZJ+r2m6x8+dWX2GXcpZQMcOKpJDw8IpEIysrKVEdKIpBEGwCoQ7gpla/j4c2fgUa0qqamBsj7Me/utJwI2bhxozIAbTYbkpOT4XK5UFlZqRLDaazLEHBTEf2hL5FH0h3C4TC+++47GI1G1UWT+Sy8xjE7HQfsgSYJgKQe+S3HKhs2bNCgeYnC2cDx4yTLMHo83lAJjEnNbE4nv+uE0bAyT8xlf0zZvHmzqtDBc0rmRgBQ9Du/339Uhrle5LkiowYEpioqKlBVVaXOIBYLOGpH6xScl5MtO3bsUA459ac+GiQjCdIwJ12QdNZwOIx9+/ZpIjRHI03GMAcaFivb97JDE8MCRFL0oZ/vI+uK1mloExxUWU+Znd/Y7p4heW4ioifckOQER6NRVFdXa0oQMpRHT5uoFTcaS/qwYgYTFySqbLfbUVNTA6/Xq5oRsQkAO9QFAoGDivMr1MjeWGNUhuL0C+x4C7mETO5yuVxKwdEA4njKcOSh5GTzfA9lmOtb956WU0MyMjLUWuSBa7VakZ6erkACIrNNFTFXVCsRUpWGOXMFHA4HUlNTVcMxqa+ainP8UxFGAoHEoXcABx3ckmKjF2kAyN/5M6BtYuRyudS5QOCKIMyJ0u2n4hpZumwpklKTkJKSouiEekeHZzmTKaVBfSg5HGJO51ny3VkJhUn1/P1ozr9YLIZ1RevQrWu3Yx2Gn72sXbcWJndjRTNZ6pP7V4KcrM4CNOac8TPUuQ6HQxPxOxppMoY5D5b8/Hy0bNlStXM9UZ6/3jBlJywa4vrwIxMMaJBzowJQ3nOHDh005cj0mcEytAxoi9Xzd3Il5XVatmypUfY8dAGc0JDlD5X6+nrs2LEDbrdblR+TBgPlRNBpfqjok2O4GU0mE+pjWlRKP6+HClkToaThx/bBAA5qa02lL5tIAY0NpMjTl8ioXDO8Jn/nNZl4RV43DQW94yEbNnAs+DySGsDOonK/JEJ44vHGBjFyPKSj4/P5EI83NPIiYsFEUTrqNHxoRLMmfCLudywWQ2VlJWw2m7om74V/p4ET66a950AgoGnNTvSkqXdxlAad5HoCUA5/YWEhnE6nhtLxg7/3MNzyYxVG02TlA659VmqRjv2hdKFev+h/14eiJWBASqWM7ElaDDof98fW3CegpT0AWp1PhDc3N/ekJX/G43HEEVcRAulIyKiB1Ecn+5yS9yMjR0CjMaVZ9/20n5e0WalXWMWDeueHjrH+81lZWaisrETbtm0BaHN4jvqaJ2AvHi9h51BJr5MUIeYayHk7ViA2FoupBkGyqAjPHZlTouQofRr93tS/Jrnwksp3tNJkDHMKqSucPKmMElEMuMmOdoPwPfrEBh74MgmICL084OSGJTWDjRSk0U5llCihiJLI25bGOq/PsIj8nfej70zVFIQbKRKJqPrAMtGQxlsiREfP29Ir/pMhTCqTiSMANGg/uankALIWuKyhyqYHMoFQv+ZY557RG5/Ph/T0dLU2ZAUCZrPL1wBoDhxyY2lw1dfXo7a2FgaDAW63GxaLBbW1taqMGMtn8j2SS02jWDoIRqNRVV0JBAIqU558OiZ7SoSBYeGamhoYDAY4nU5Vgo77A2gw+GOxGFJSUtTrNIypvDknHk8Dt7d58+YHOVEyoZjNZrhPJHeY8ymdKjpAjPhw/9NQYwnIpiR68EKGXOU+YlUgrjUa6pSm5CDLPCKJUFHX8171VbzYkA1ITNnTRxb4GvWtPB/kWUOUmiJ56SdKeH88m/R6kHPI13lPEnA6EfNJh1ZfCYU6TTrxsmrKoeREjCPvkXs/KSlJU/KYZwydfNlOXj+ORqNRJfjzOZkkf6R719sscj6lsSbBFII0HONTKUJBG0vmS3DcpY2kB7mkDjgaoe5jR16/36+q9bhcLnX+yAaBQGPPgaN9FjmfQKMzyvnj+vvJGuYyHCiVL/8mf9a/plfEhzNUJeocDocVEmaxWNTmlGEmKm16cTzUWKs1Hm/oqhiLxVT9cjnZ8v3caDw89KgPjRtZgUZGDeRzJoomNBUDXS7Yw4l+odLpSISwnMxni8fjqjwS0Ji1n1D0zBYJPrJzNz9uAmAXf5eXtR34X1ttTHvNJPGZRCAnXzOK+0oCILtOGwC4DvyToufhGnX3qhcjAMeBfxTZRM+s+9kM7bMlargn85bk9HPqDeJ3mX+rHwu5VOSY6a+daEmZxf+2xpdrjbWamtRNRRIpe2mQA1rnlmCDNNgPV7HgxxQZzaR+5Ov6CInU5fJ59EaQjDwmGhcZigZw0IFKZ/xwCP0PkUTGNO8h0RkoK0/I8y8REHS8hE6MdOL1Z5J+3A63vo5Vtx/u2RIBYjRyWYVIv57k83ENkHpKJ4SfZXWX71u0QBqZieaHhn8iR6Yp6Z1jFa4TrleCONzjnAtGYfn+o7HppMj9QHE4HLDb7QqM4TxKKvGRkvsT2ZxSlx4vZ7jJGOYUTgIVqh7JkCKz87+vMFwZDAZVC3X9dYjIMNzOTRWJRFQ1AxrXkUgEfr9fo0QlakUjn+3P5aaWvHnJH2QIRt4PkXPeq75+dlMQLl7JbyUFQC5kPWLA+WwqCshoNKpGGqfl5y1OhxPBUFDt96YoesMNgMZY0qOu1CEnyzA/ppK1BjQ6uMDBnVp5SQsOdpITve9Qf9N9NmZsRFT1FBf2IjhZYEGi6EeiqAjvRzqPJ2pe5bPzrGKJ40SO4Y9BZZERFbk3ZOQNgCprR2NeOhyM4Mt+HEajUZV9/b5rQB/xAA7eo/qIsbQHfuqiz+mjbUSwQFY74dwdy3Nz7lm1idQjfWfeYDAIr9cLh8Ohent8H9EDxdKRkGvp+0qTMcw5UDTkEnFUpTdO4aQm4voc6nu4wSS/VV+iS1Yq0JP76+rq4Pf71UQybK/vKsXrSeeB9AEZepdluCTHnBMci8VUO2i5cHlPMjTUFIQhKobkpEglpP+MfJYfUzRK8KevC0/LcRLJg2yKoj/gqbv0UTd52BFs0OcnHG+xmH9aSdNGgxFRRFViPY0JWfP9RKwDGmb8WU9jSeRo6ZHq461Djzh3csk0FX2ZpPs/kch7tR3857pwnYp0A405YAA0rx3u3E1En0oUxZG/SxtFH3k/GmnSe02/PoxoGPsE4w/g8A714YSf019Xvx5ScVRVm8KRcOKv0e1RSXNOZK8erTQZw5w3L2ksfDiZhHE0B8ehPKyD0M8joSyJRscAIF332qEWlQkHIzxHO+L6UH7KIf4m33MEqY99P57WDxEqFImO82fOZ6KDRYr+wDmZ905ajZTVa1bj6aefRmlpqaZxhd/vR3JysuJqf/vttwgEAmjTpg2ys7MRiUSQlZWFcDiM6upqAA1j4Ha7ccUVV+DSSy+Fy+VS0Rg6jEajEYsWLcJ1112HlStXoqCgALFYDO+//z6ef/55VFZWIj8/H5FIBIsWLYLf78cZZ5yB9u3bK14bW1pffPHFuPPOO1U1AY6/z+fD6NGjkZ6ejosvvhgWiwWrVq3CnDlzsGjRInTv3h0+nw+ffPIJFi5ciL179wKAQiJk86/evXtj5MiR6Nmzp2bseM9z585Fs2bNcNZZZ6Fnz55o166dWifFxcWYM2cOli9fjrq6OsRiMTgcDqSlpcFobOiCGolE4PV6kZWVhVtuuQXDhg1DKBRSUaZIJILq6mp89NFHMJlMsNlsinbAMOWUKVOwbNkyXHvttRg0aJDii7pcLni9XkU1a9OmDfr06YM0dyMPiPkETQ01l3tDz8mU+wxIXEVA6taTsc+OVg/pqXoyUlhXVwcAqrKVnpOujw7Ia+iNIFkOTaL6zJ2QbbYJrCRqkHS8RI9G0yiTe0q/v/g5vWH/Q+fz5xwxtFqsiCOu6FQyIVFSZA63DvRIN9cnX9fTlIDGPCsChPJ7jjSfP+f5OpFiMVs0eisRG4IiUXcJgnwf0KPJGeaA1gvVU0L0xpr+4Dkth5aTHQojfUUmzPIAlAruaObzZM9vopBWbW0t1q5dix07dqgkQIa3WbNUyrZt27B582bY7Xakp6fDYGjoXklKU05ODgYMGKAxoojM8XmZtS4P3/3796OoqAjFxcWqvJfT6URqaipqamqwcuVKhEIhxVX0+Xxo2bKlMqJlggpzIi6++GKMHj0aANClSxd88MEH6jlisRi2b9+OF198EZFIRJUW5Bw6nU4EAgFs2LAB/fv3R69evZSDzTn+5ptv8M477+DWW2/FVVddpcYnFouhTZs2qK+vx7Zt27Bs2TKEQiG1Vlm5xuVyoaamBsFgEAUFBaiqqgIATVjSbDYjKysLo0aNUrXHZXg0MzMTc+bMQSQSQdu2bTFo0CDVyTQzMxMejwcOhwOZmZkJ+Z8SdW6KItFSyeOkSCeZRps0Kk6WHpWGsYxMUi9w7Kurq1FdXa0xYOrq6pCSkoKCggK1N6g3pIGeiHPKQ1Lf9dPn86G8vLzhteaNn/n222/Rpk0bzXcwOgqc+HWgD43rzz+Z/CkjrHpU/bjdj+iOSweWDZ249rxeL9LS0lBXV4eqqip4PB7E43F07txZfVbqewm8JXr+Y3kGfq6iogJOpxM2mw1lZWUoLy9HfX29yiWz2+2IxWKw2WzYu3cvbDYbWrZsCYfdkfCaXJtMxD+WCk3SMZSRfhnhkvuUa5/r9ft8H50KGW3hdQ8VtU60byQafDiHV+pMPYNB/xm534PBICorKxEMBtVrmZmZSEtL0yTrH+459GsoEolgy5YtGD9+PDZu3Ig//vGPuPzyyxEKhRAMBlXTypSUFLhcrkN2jwUaKXiJ1iiBHVkqVRZe4PN833XSZAxziuTnSGOcfwN+ePWAUF1IoR80TDjokUgECxYswDPPPIP09HR4PB74/X6lhAKBAF599VV06tQJJpMJtbW1SE1NxerVq3HjjTciKytLGRZ+vx9+vx/NmjXD7373O1x66aWa+4jH41i9ejWeeOIJrF+/Hk6nU1WR8Pl88Hq9cLvduPPOO/HrX/8aNTU1+OMf/4gPP/wQubm5qK+vR+fOnTFx4kQ0b9480aM2jNsxx4OOXfShO70B3pQdqUMdFG3btsVTTz2F6upq2Gw2VfqPqGx6ejr27t2LBx98EDt27MCkSZNwwQUXqDKARHXD4TCqqqpgNptRWFgIh8OhjGiJxsXjDeVD7Xa7BqUdNGiQQuDdbjeqqqoUKlxdXY1IJAK3262Q7KqqKrRq1Qo2m01TVYYcPO4BOgg+n0/lQQCAy+VS6Hj//v3x0EMPKY5lPN6QKFtSUoKHH35YGf5UUJx/Ppff71djPHfuXBQVFWHChAk4++yzceutt+KSSy5BamoqrFYrPvjgA0yfPh3t27fHY489pg5+s9mMXr16aRALGk02mw0WiwW//vWv8e233yI9vSG8xbW4efNmRCIRzJo1C4sWLVJUuLq6OkQiEQwZMgTjxo1DZmYmQqGQJkmVz9KUhSjb4agp+sP1ZFPg9A6ANEAlN3rOnDl49dVXYTAYlPMXDodx3nnnYfLkyXC73erzsoW4FGnY0iFmRIr7/KuvvsLdd9/dUNL1i8bP3nvvvZg3b55aI7I86cloMpVovelR80T/TsZ90WikQcOKUampqaivr0dpaSkmTpyINWvWIBwOY+vWrZp1KStJyWpdeqdCHw3Sj8Hh7o95ANFoFMuXL8dLL72EnTt3anqEMMmwpKQEvXv3xt133w10b7wWizHoq8Mdqx6Qnz3U8xyvuTzUOat/TW8wSydPPqf8WT83h4rO6A1pRh94/lgsFixZsgRPPPEESkpK4HK5YLFYMH78eAwaNAipqalHHGvufaBxvsxmM+6//35ccskluPnmmzF//nxMmzYNWVlZqKmpwcCBAzFp0iSkp6ejvLwcTqdTYwcebkzlGMoeMXIsJEp+LPPY5AxzacAdSeEcK1putVphsVhUuF8uHKBBWXi9XixZsgQGgwEZGRnqb0lJSViyZAksFgsyMjI0rebXrl0Lg6Eh6SA7Oxs2mw3l5eVsw4qOHTuioKBAUwc3EomguLgY27ZtQ7NmzbB8+XLE43FkZWWhrq5OGUnksns8Hmzfvh2bNm2CyWRC69atf3RO9uFEz2kFDg5Ry/eerMPlcHKo78/NzUVOTg4MBgOCwSCqq6tV50RSU3jQ1NfXw+12o2XLlvD7/aqeKZFtGslEBIhAr1y5UoXQbTYbtmzZgnA4jOXLl6OwsBDhcBgtWrTA4MGDVea+zWZTB5BE+vfv349YLIacnJyDqGL68DerDgCNKKIM3TKk3759e1xyySWacYnH46isrMT999+vDsNAIACgQXEVFxfD5/OhZ8+e6Natm/re5cuX44svvsCIESMwYMAAnHPOOQAaD2uPx6NQLDq1epREPgfRUKPRiJKSEuzevRsej0cpSpPJhEAgAJvNBp/Phy1btihKktfrBdCAsoVCIQA4yPj6vvWET7bo906i3xPtwxMt8Xg8IVdUhvC5fplPs3XrVmzfvh3l5eVqziwWC0KhEPbs2YPFixejZ8+eyM3NVQgm5x9oNPz0uTqcU+7bHTt2YN26dSgrK1NRGEppaSl27NiB/Px8WCwWZYwSDTsZCY10VvR0B/7tZBvlFOaCsUqNRAzLy8uxePFi7NixAzt27EBKSgq+/PJL9OrVCw6HQ80RnRw6SIfLK+P7qbukEZ8IwY3H46qEbTQaxYYNG7BgwQIAQGZmJurr65GRkQG/3489e/YgLS0NPXv2VBQpCpMFGclkBPBQBSmOJPp71hu3h5vL7wto6YEwWQlF/j2RQS4/x0oxzJWTUUg9v5rXlFFgeT+MehmNRgUcBQIBlJWVobS0FOFwGKWlpdi6das6Z2RJXf16YJIoxWq1KgR74cKFuPXWWzFixAh8+umnKCoqUvfdo0cPlSPCqjtMXj4ap0uuPyZ4ymhIIjD5+0iTMswTLcrDLdQfoowMhsZySRLdM5vNGDRoEAoLC9GrVy9ceumlmDhxIux2u6rg8sADD2Du3Ll49tln0bdvXwBAhw4d8NBDD+HJJ59E9+7dMXHiRBQUFCjk+80338RvfvMbjB8/HkOHDlUT2Lp1azz66KOIxxvKLg4YMADnnnsuHnzwQaSlpSEYDKpmA5mZmXjsscdw/vnn47777kM0GsUf/vAHFBQUHNMYnCjRK00piZTP4d7/Y4hmMxkO/ls8HsdHH32EmTNnorS0FGlpaaoueDQaxZYtWxAMBjF58mQ888wzygE0mUzIy8vDpZdeihtvvBEOh0M9O524K664QhnaVqsVHo8H5eXluPfee1W5zVtuuQX/93//hxdffBEZGRmKGsKEWyJAt912G2w2G2bOnIlmzZoBaKzPDWgVHv+PRqNwOp2aslJAYytqKmbpCBgMjS2q+XeWEwWAsWPHonXr1pg1axY6duyoOUTr6uo0ydCyhq8e0ZVKk9USkpOT1bPIZO65c+cqfj2TplNTUzF+/Hh8+umnuPHGG3H99der72SXttTUVDVWejpTogYvTVXkwUn5sfZXLBY7KC+GIWzWlmalq5SUFDz33HP497//jREjRuCtt95SFa/S09NhNpuxcuVKzJgxAz179sSkSZM0+4hoHBPxiaYbDA2Jm0zat1qtWLBgAaZOnYr27dvj/fffR21tLQZhkLrHyZMn45577sGkSZPQp08f1Yn6x6gcJQ10KfpcnZMhNMyABnpfbW0tHA4H3G43SktLMWbMGFRUVODee+9F586dEQ6Hcd111+GKK67Ao48+CqPRCK/Xq/ZrIBDA/7P33eFRlln795TMZFoyqUAKhIQaBelBmgVYsKGoqygI+Lmu7fuxotjLIqzfKourrmJZZa2rCOpaP9eCoHwUhQhShKVXSUhIMn2STPn9Ee8n530zoQfjLue6uBImM++871POc8597nOO0+ls1jCnAcu1TMCAz88cAArHgdePRqMIBoMwm804//zzcddddyEcDsPlcmHTpk148MEHceONN2Ls2LFq71Nko0NZxOF4I2fHapwfSppzgOX3kCasr8tPJFu+Hg6HkZycrKKJzE9i5Fcf4aBjrN9zQGPDPpaclM7VWWedheeff16t7xdeeAE+n0+TaCvzRhJRuhgxpUOWlJQEq9WKPXv2AAB+//vfo1+/frjvvvvw6KOPYtSoUcjJyQHQ0NRJNtQ73LypsT7E3+SZdSzAaasyzCmJQqzNGebHc32JEDK0EolEYLVa0bt3byQlJaFz584YOnSoRvHn5uaioqICK1euRHp6OnJycuByudCrVy9YLBZ06NABY8aM0Xzna6+9hoULF+LSSy8F0Eh/yM7OxogRIwA0TKLNZkOXLl0wfPhwTdkgKqb8/Hz86le/wuOPP45wOIyioiINh7u1SiL0QyIdfK01iEZZGrSv81DatWsXPvvsMwBAv379NPXqBwwYAKPRiOrqatXIAAD27duHH374Ae3atcP48eM1HFHZiYxGvBwzNi8ymUwKaWCiZmFhIYqLi+F0OpUy+/LLL1FdXY2uXbtquP1srkHjIhgMwmq1YtWqVejUqRNMJhNWrlyJ6upqjWFKpSfXGBEzea9Em00mEzweD7Zs2YJ//vOfOPfcc1FXV4cdO3agoqICVqsV+fn5GDFiBNq2bavGV4bHWe9fcoxpkPP9NTU12LBhAzwej3qmaDSK7OxsANqurFxv5N/TSQmHwyo5tKKiAps2bUI0Gm0w+s9pnH/Jz/8liB75opzsfab/Pu4VGZGQjYEWLVqE7777DhMmTMDAgQPVXqQDFQqF8PXXX6OsrAy33XYbkpKSFF+YBzfnV+oXRh65h7dt24YlS5YgOzsbJSUlTWpHn3POOTj//PNx0003AWhEiaVh2lLSHDqe6LWT7XDJMdbrpMWLF8Pj8SAvLw/Dhg1Ddna2qmqzefNmrFixAgUFBbDZbEhOTkZlZaU6V4maJ6J4cO/zdz6zpLzyM1KHcp3R8OzUqRP69u2rrtGlSxfMmjULZ511Fjp06NBkf1Of6KNlx2Q068aQP+XfDhU1Ptx36h1gdiklYMLrym6/dHCoezmn/D6eUXJc6KByv/LvPA/YpIdAkmQikNPPe2HkYujQoer6ixYtUnaYrNPPeZVlLXldRrJqa2uxc+dO7Ny5E+eee67KrcrNzcXw4cPx5JNP4le/+hVyc3NV1IyUmqOJgunXpnQeZfSBfz9aaVWGuXxA+Zr+PcerhBINKr09ThTQsABlh0IugBdffBGVlZUYPXo07r//fnz88ccYOHAgfD6f2gzkOgFQnS95TQAar1HWSa2vr1ftwGW9VW6wWCymvodG0MniPB6pJBpfKdLAS6SEf245EsVoMDRQnCZOnIhHH330kOFtKpV//OMfuOaaa1BVVYWUlBRNB8ZgMIi0tDRs375d04Z51apVuPzyy/HNN9/A4XBgyZIlKC8vx+LFi9G7d2+8/PLLmD17tkKAbTYbli9fjqlTp+Kpp55C79698fXXX8NoNMLn82Hs2LHKCKWRarPZMH/+fHz99dcwGAyorKxEdXU1HA6HQlGCwSAsFgu2b9+Ojz76CB6PB0ZjQxdQu92OsrIyJCUlqQRYg8GAf/3rX3j44Ydx3nnnIR6P44EHHsCGDRtQVlYGo9GIhQsX4uyzz1b7hYc8UXAZ+uSBQkTd4YjumeEAACAASURBVHDAYDBg48aNmD9/PpYuXarh+0ll7nA4EI/HsX79ejgcDowcORIrVqzAV199pelHQP662+1GbW1tw95fkXguW7Mk0pGJwqsnS/TjJZEt3pvNZlPvO+ecBm8oLy9Pg5qazWYsXboU33zzDUaOHImePXsiHo/D6XQiHA5rmsSxaysdPZmwR53TrVs3XHDBBejfv78mekR56623MH78eGRkZABoNNJOxvwn0qH61xK992QIHXy2pud+3bZtG2677Tb885//xOmnn650idPpRGlpKZ5++mkMGzYM11xzDV566SUEg0FkZGTAYDCoLsJEOyUqKkEc/evSZuD/aQDKevOdO3fG+eefj5ycHLWHt2zZgmXLlqFbt26q27BeaODLcT4aG0Q6EYeyZU6EXaM/ewKBAGpra+F0OuF0OjUINnUp9xX3STgcVvPgdDYkwfKz8r5lzhPPMZm0yv3MvS47YAPa7rH8HPfowYMHkZKSonEGjEajhptOR02CLYy+zZw5Ey+99BJisZgm6nvgwAEYDAbU1NQgLy9POYHMu+L9HKqWeaJ919wc0kk8Fn3RqgxzSnPe5IkWuWk4Oarb40+TQ0+Ki8Hv98PtdsPj8cBqtSI7OxvBYBBGY0Md89TUVBUqZVinsrJSJfvRgJPcWLkQqHxk5QyGf2jQ8m/83MnkPB6NSIXZmgzvwwnHMhaLacpQUkmTc1dTU4NQKKQOkng8jlAopGrf6r1oGZrjHJtMJpX8yYiNzBBnzfxoNIqFCxdi0qRJ8Pl8yM3Nhdfrxb59+2AymbBgwQIsXrwYwWAQfr8fQEMoPikpCeFwWIXwx4wZo+aE1AG/34/bbrsNkydPVqjXzTffrIwdVjJITk7G4sWLsXbtWoUucm0CUIc0n7dHjx549tlnEQ6HkZ2dDYvFgltvvRXPPvssrr/+egwcOFBVXSF6TQRfouQS8ScyytfOOOMM3HvvvSoZlQ4tlbbBYEBKSgrq6upw++23Izs7Gw888ICaQzrKDocD1dXVKoGU1J18UaaDTtTRNqE42SL1Jn8/HvTmRAtD4Vzr3Ae8t6uvvlqT4EyAYvPmzZg2bRoikQieeOIJ9OrVC/F4A0eV+5J7VFYK0et0IrT9+/fHrFmzVIheL3fffTc2bdqEeDyu9D3XY0uVzExkoCVysg71/5YWopnUDXrON/UPo07xeFztyXi8oRoK54pUtuTkZOV005BhVBmAMir5GTrrnAuuH+pV/qurq0NycjLGjh2LoUOHwuVywWg0orKyEjNnzkRpaSmmTZuGwsLChGtAv3/0cjiD+mgd4uOZy2g0qkHMU1JSmhiGMvIIQDX/Axqb/6SlpTXrSABQ88BnomFPUISIOKDN05HnWyQSgdfrVe+nXid6Le+bhTckMs/75f1I/UYOu1x31CGMlvI6eqDlcLpdT1dJNKccm0RA85FK6z5h0BhOOdRhczzXBpqWD5PXJ3rJA5lGCL0riVYbDA0c9XXr1uGpp56C2+1GOByG1+tF9+7dcdppp6FPnz6aQ0ifpa4PTUpenT40LSe8NRrlgLaeeXMJHK1NOJaJPF1y5wwGA+x2O9atW4fnnnsOLpcL1dXVyshITk5WBkgsFoPD4cCiRYtQW1urktiI5LKVOJ1DSYsh+hCPx5GdnY0BAwYgGAwiMzNTheYNBgM+/fRT7NixA927d8eQIUOQnJyMUCikkGheTx58NNpjsRhyc3MVSlFYWAiHw6Hh3fHgdLvdGDRoEAyGBtpKPB5HRkYGPB4Pdu/ercbJYDDAZrMp+kcgEMCXX34Jh8OBK6+8EpdddpnidZOfDjQmssq50CNWRGKIiJEXqkfKuU+qq6uxevVqdOzYERdeeKFCQOU++uyzzzBs2LBDdnQ8GRSG4xE9miP1Jf8vKT2JjPaTsR9ltBDQOqp04tq0aaMM4oULF2LXrl3w+XwoKChAYWEh+vbtC5vNhkAgoK5FwzkQCMDhcMBsNqsIjtTToVAIoVAINpsN3bt3BwAsX74c69evB65vvM9Ro0bB5XIpB456rCUdsyNBxfW6/2TrUIJUNOTk99Pg4v7jfuIcuVwudXYaDAaNsyNzRBg545rkOUlDTvaRkN/P75X7PxgMwuVyweVyKSctOTkZGzZswA8//IC0tLRD7utDOUqHG3u9USw/Jw32E3Em6vUW9eTKlStVYQq73Y5JkyYptJylIlesWIGqqir07NkTJSUl2LhxI5YsWaJK49bU1Kh5pyMUDofh8/lwxhln4Nxzz1XfaTKZsH79enz11VcaA9vv9yM7OxtjxoxBamoqDAYDfD6fAjH1eUW0+ySgJTnq4XAYVqtV7Yfvv/8ea9asgcvlwlVXXaXZJ7IZmKTHyDmhA3Ak0tw+lfPQXKTkSKTVG+atRbhxWV6Jyrqurk4ZWGzru3r1avzwww/KqO/YsSMeeOABXHXVVWrS6K3JTZkolHZKWpcwquJ0OpGamorly5djzZo1CIfDqtRTXV2d4nInJyfDbrfD6/WqSiVWqxXBYBDp6emIxWIIhULweDywWCywWq2qPjOT4vj5Ll264M0334TP51MHT0ZGBvbv34+Kigp8++23mDp1KiZPnoyamhqV8GSz2ZCUlASfz4dwOKwUEHl5gUBAVWEBoOhbdrtdGblMYB0zZgz++te/wuv1KmWXmZmJnTt34rzzzlOvERELh8NwOp145ZVXMHPmTIwZMwazZs1ShpfFYkEoFFJKllUbqNBYnUYqaEYmWKuchz9RUnkoR6NRvPHGG3jooYdw44034swzz1T3xz29detWTJ06FfPmzVP0iESHI43aU3J0okfygEbjHGhElsLhMKqqqlRdeUZAXnnlFcyfPx99+/bF7NmzcfbZZyMYDCoDnDRDRjTpCEskD4Daa16vF4FAQOVkJCUlYdGiRZg+fbrGMH/++edVRMdkMiEUCmkiX//Jonf6+E+ON/cso1OMvJGGxrNUf71AIKCQcBkh5vv0eS1S9AYv0LD+GPFgdDkUCsHtdiuQpLXT045E9GNhNBqxf/9+/P3vf8cLL7yAaDSKbt26YeLEiSq5HwD27NmDhx56CFu3bsWUKVNQUlKCr776CnfccYcqQFFTU6McMZa+5Zlw2WWXoUePHsjKylI69Z133sHs2bPh9/vVmWY0GlFcXIyioiIMGjQIJpNJOUvUB/Ifn4lnAWlqnHeZWFpfX4/3338fc+fOxYQJEzBz5kxUVVUpQ95ms6lzUEZigcYE8dYQTaSc0jBHITIpgpUtuNGJyNTV1aFNmzYYNmwYnE6nqim9ZcsWvPrqqxg+fDjy8/PVYmLY9dSB/8sQHj51dXUIh8Po0qULhg0bBrPZrA5wHvyyVm44HMbatWuxaNEiVf6trq5OIXo0oPk7D6WUlBQ4nU7MmjULl112GYYOHdpQb1kIy3ZGIhG0b98eZrNZGTZAI6rkcrmU4cNEY4aWSScBoKgcrL8ONNIPyONlhj0N94yMDE2NaCpbp9OJ119/HTt27MAVV1yBSy+9FHl5eRoHlQiG3W5HfX19E2oX/xFZ54FPTqEMF/Ienn76aYTDYZjNZrz11luorKzEwoULUVBQgGAwqJxrGgJjx46F2+1WzrJqFiUAFDrOrSmf45cgzTk5siwlKX2kATLkbbFY0K9fPxWOXrx4MbxeL0aMGAG73a5J4GLEEmhKU+R65D4jWst769atGy666CK8i3fVPf7973/H5MmTEYvFEAwGNU7iLyHXoCWFiCagjTByb0ojh1FCzjm5wgaDAR9++CFWrVqlDK3k5GQEAgHltMso4jnnnINhw4Zh2bJlWLhwoXKSJPppMDQkHfJ87tmzpzqLea9fffUVVqxYgdNOOw0lJSU47bTTDsst/qVKamoqSkpKsG/fPnz22WfYvXu3BtGNxWLIyMjABRdcgEceeQTl5eWor69H7969cfHFF+ONN95Az549MWbMGBiNRpSVleGLL77AkCFD0LZtW0SjUdjtdrz22mvo27cv0tPTsWzZMlRVVWHMmDGKSsQ5TE5Oxueff47t27dj8ODBKCgoUBFiOluyKAfQmGzK6IrP51MGNxF6FhvYs2cPIpEIMjMzVR6UjLRKShQNfnaaPlK0/GTIv99KbCGhV0VkhguIdTMlZeOss87C3LlzFeK4Z88eTJkyBU8//TT+/Oc/Y+LEiapzGitG0NBpTV7bKWkqVCDkcl988cWYNWsWUlNTATQYbzRo7Xa74rhZLBa8+eabWLlypYqyMMJCyocsTcg15vf7EQwG8fTTTyMUCqF9+/YoLCxUBqzBYIDH41E8W4/H0yQCQ6O6rq4OaWlpCAaD8Pl8sNvtClWW1WPI9Q6Hw8r4Ji+RSAn3ARNEqQS5B1gVw2Aw4I477sCIESMwZ84cDX+c3+10OpUhrEelmYRJBQpA1Se22WwqwYcJ1jxc58yZg3/9618qgmE0NjSS2bBhAwCo8YjFYujfvz9WrFihjHJyGSORSBPDXF9N5JQcXhIZsJw3HqwGg6EJRYH6cerUqbjjjjuwZMkSTJo0CR9++CF69uyJgoIC1NbWapKFaYBJ+qOs5JOcnNyEHx6NRjFmzBhceumlmmZsU6ZMweTJk1V0lEnTp4zyRrqB5PVTqJc49gQiTCYT/H6/mlefz4e3334br776qkokJ4LN2ug08mkADhkyBIsXL8bvf/979b1MGuSc817q6uowfvx4DBgwAOnp6WoNvPDCC/jwww/xxBNPYPLkyf82oJg+MsWCApMmTcJ5552H22+/HUuWLFERSQAqMXb69Ol44YUXEAwGEQqFUFJSgn79+mHevHkYN24c7rrrLhgMDQ3axo0bh2nTpmHUqFEAgPfffx833XQThg4dil69euH+++/HnXfeqZqDsVldPB7HDz/8gGuvvRahUAjPPPMMOnTooGiRDodDYwvxHiUNJRKJqJw+rhmuQeaKcH2y2RUdyLq6Og3fHIDqBMo+Ha1lb//8d/ALER4c9LhodIdCIWVcM9mEIR6gwcjKzc3FRx99hA0bNuCtt95CXl4ebDYb3G63OkiIup+S1i1UEm63GyaTCXPnzkWnTp0UCme329GpUyd06dJFvcdms8HpdGL8+PHw+Xxwu92oqamB3W5XHTpra2tRXl6ulML69esxfPhwDB8+HBs3boTX68XEiRNVCJBosd1uR3FxMZYuXQoAuPbaa2GxWFQo32q1wuFwKFQ8GAzC4XAgNTUVsVhDJ8127drhmmuuURURBg0ahF27diEjI0PDqafRzMQvo9Gokl39fj+MxsbGQsnJyVi0aBEKCwtRXV2N119/HampqXA6nereDAYDioqK8P7778NiscDr9aKqqkqDkhOBMxqNar+Qm84upzIyQQR+5cqVKklMOtUTJkyAz+dDMBhEp06d8Morr+Drr79Wh7bP51MJhw6HQzP3dMRPyfEJHSyZKM/Ihd/vV4clUUwerkOHDsWWLVswY8YM9OnTB0OHDoXP51MHOHUvo1l0Dh0OB9xut4rI0NkNBAKKDsXPS9mxYweysrKwePFilRB3Sk83CM88PXJOnSAr4hB0kMm+ZrMZLpcLL7/8stqffr8fVVVVOHDgALxer4YuGolEcOuttyIWi+Hee+9Vjh27ZLOJG9dAOBxGTU0NnnvuOeTk5GgQcTr7nM/q6up/C0BMz5OXtfxDoRAOHDig6B2yCgkAVZFFVjHx+/0qysTxJhiTkZGhXmMVF4fDgXbt2qlunUTkmWfEaLLP50M8Hleds4HGvAlJe6LIRGOLxYK2bdsiNTVVOWNPP/007HY7fvzxRwSDQfzpT39SVWf0NCi5XvWv8z5ag5xCzI9CiLxIo4GTTJ6aTPwzmUzK8wegGmGUlZWpz4fDYVWyTmYXn5LWKVTuTHw888wzMXnyZFitVoUa04GjkcCSgl9++SXeeustRaWQiWTkl48bNw7RaBSpqak455xz0LlzZ7z55psAgOLiYkydOhXV1dWwWq3Iy8vD008/jbVr12Ls2LEYOXKkUnp79uzB888/D7vdjuuvvx7Z2dkIhUIIBAKq+QLQkDNRWVmJsWPHYvDgwUhKSsKmTZvw5ptvag5Sp9OJpKQkfPbZZ7jpppvUoeb1emG321FRUaGMWa7hLl264MEHH8RvfvMbdO7cGVdffTXcbrfiAcdiMbhcLhQWFqqDksqaBjkrGcViMXg8HmXIca9wn3GPcUxZ4isWi2HTpk1444034PV60a1bN8ydOxfV1dVIS0vD6NGjYTabUVlZiTlz5sBut2PatGnNzn9rQFN+6SKTPYl6yuRURiQk8smSsiaTCXa7HZFIRFGV6DxK/jcROjrSRNj0jU8AqCRRfSjbaDQiEAhoIlD6hLH/RNFT5GRCMX+X5xgNM44dEU427JPXBKDRIbK3Q11dHbxeLzIyMppUM9MbpYyesFs2nfZ4PK4qRHH92Gw2DQ3vlyqRSERj0dHItVqtKnrLOeBPVr6R1bVYelBysqlnabxL1Jp7sb6+Hj6fT+VX8R4CgYDikpOfTgeAa4EovqxmJnPw9GVKJRhKHcCS0gBUDon8DK8vX+NZmKgwxc8ppwzzIxQqeX2yCxcZFxzD7FxYUpETxSG6SuXEDninDv1fjjAk27t3b0yaNEkZulRaTPzknNKYfP/991UXNbaLJpc2KSkJCxYsQDweR+/evXH33Xejvr5eNVPp3LkzpkyZokL38Xgcy5YtQ3l5OUaOHKkaoQBAaWkpPvroI6SmpuLmm29GYWEhAKCqqgqBQABpaWkAGnMkrrzySlx55ZWIx+NYt24dPv30U1RXVwNoNEbNZjP27duHBQsWKA46D7d4PI7CwkJNlYUOHTpg8uTJmDFjBkaPHo0HHnhAUzWBydG1tbXweDyKFy8PfP6TSWE01mngEcmpr69XjYZkktk777yDRx55BNFoFI8//jgmT56MYDCo6trW19djxYoVePzxx9GuXTuce+656Nu3b4OxLzRka1Hav3RhUjPnH2g0vu12u8q9MJlMcDgcmiQvInuMOEpjWSYTSt3Mg57rlGsrEokoh5D5FrKhWE1NDTIzMzWl+GhQtJaQ988lkjoik2sl95dzwz0sK09Jo5xjywpSNOIIYDCnhVVAotEo2rRpo5wsriGWxiRfmKAYwTT2FiHwQZSeUetfuug58jKhkftIz8Mn7dLhcCjDnc4P173T6VRzTTuHkVGec7Rj2JNC5o/4fD4AjZW66BQRvCIDge9JlERM50DOJ+knfr8faWlpSEtLU1QVGuqyW6veieR36bugtgZpVYY5B6w5REJy206EyOtw4mXGLpW5VC5U7gzfy5ALF4zMMpaJnawgwFAuNwRpCfJeZMYwF5T+nvWGggzHHOrgkAqV1z+RIqMJ0vNNdK8t8f1HKonCV03CWuLW5Dww0fPjjz9WCAGVlX6OuIa2bt0Kj8ejKC40TPjTYrHgiSeeQCQSQW5uLjp27Ij169erdcSETX7HO++8g7y8PLz22mvo3bu3ep2JnqSZyLGmAqSQLy5DzSxdxmpDsVgMfr8fNTU16NatG+655x7Fz2ZIcvv27XjqqadQU1OjWXexWAz/8z//gw4dOmiSeuQapAOj55dTcdMhZjMSGgBETHjQWK1WbNmyBc8//zz27NmjaBCbNm1S13z11Vexa9cuHDhwQDUDi0QiKC8vh9/vx+bNm3Hfffdh7NixuPrqq4FU7Xr5OdfroSTRfen1gETKDvW5lhZyh3lvTJxnFORvf/sbli5diquvvhqjRo1S64DIq81mg8/nQ3V1tdqTNBik7iRqRwdYGu9GoxGLFy/GggUL0KtXL9x0000NVBbBVEpNTUVFRYXGACTqpw+HnyjhfDQ3L/KM1J+DJ3suub7oOAWDQVRVVSmnn2eodJ7i8ca685JewigGgQIAykkj3cLhcKhEX5YC5HPrS9TRQGPUjXoYgCphbLPZFF2tpcZOXlfOnYw6yPfKv3F/HOt9ycpHpPXRCeH3Op1ODS3XaDTC5XIBgKoORkCExnAsFoPdblf3K/edniZDmiHPGDpm0o7i/PDZaXzr8xaIyhNwYd7Qrl27MHv2bPTt21fNMfnmmp4kaIx6yTGVnHO93aR31qVI416vV3lGye86Gru1VRnmRyqcxERyLBuM1+IBIVsz829EuoEGtHTnzp3IyclBVlZWE0UUCoXg9/uRnp6OeLyh7mcoFMLGjRvhcDjQp08f9RySs8pJlIuDzyK5YLJUFA9buYHj8YamRjT6ZULIyQjDSkUk/zUnh5qzRMbzib5Pbip9GDbRWPFAYGOMXbt24YsvvlBJM3yPrL8NNNb35XWp0FhVAmhA1f/f//t/6lCJxxtKyFVXV2uaNvCeS0tLkZycjGHDhmm6KMbjcWzZsgVpaWnIz89XxnhFRQUyMjLUwcfOfQwRSw4mnVJp9Obm5uKSSy7BxIkT1XfxnoLBIBYsWKC4h1SwZrO5wcD9SQ4ePKg4nVRcbdu2VXuL92YwNHb6jMfjSslTicuSWvwbFf+mTZuwevVqFZ5OSUlB9+7dYTKZsHr1aqxevRoOhwMpKSkKYTcYDGjfvj08Hg8+//xzWK1WXHHFFU3m/mTsn2MRGfqXa1i/ZvR65VgOjeMV3oNsAkSDzGg0YsmSJXjrrbfQt29fnHfeeaqKB9Cwzvbu3Yu8vDzk5+erde/1ehV1LB6PIzc3t0lCF3UoqTJr1qzBiy++iCuvvBK33HJLw9+FYb5161YUFxdrelfwPloKLdfPC+dTD9Qc6rMtLXIMGJUwGBqaf+Xl5WHr1q04/fTT1byazWaUlZWhtrYWBQUFyM3NVfqlufvn71wX8XhDuTw6b9Qv+s9Th8vkeOnIMA+M3bUpLUVlSQRI6Q1w/U/qtaNdY7GYtiGejObzvGKOBHU6/+/xeFSUihW+mPcjy9RyTOXZwER56mfaUbKYgdzzpNfQMKfTzTkldVJ2CCbCT8OcEdJt27Zh7969mDNnjpp3oJFfX1tbC6/Xi5SUFBUdY7SH5zTQmFTq9/ths9mQlpbWxICXxrcexG1Ojx6rw9fqDPNDPcThDPJEv2sv0PBDhrwAKOXB7+ZCdDqdqlOYlPvvvx/ffPMNLrzwQlxwwQXo2LGjWsjkFLNKBz2nxx57DO+++y4uvfRSjBo1Cl6vV5WHohABdLvd6jVyK3lfsVgMaWlpChGVykhu6FtuuQWXXHIJxo8fr67FbmncUC15KOsVYiJFJEW/gBMt8BMp+qgE1wM9fuWciR3Cjcr1Eg6HcfbZZ+N3v/udCtnxGvzH+05OTsann36KOXPmqJrdRB+ARnSCyDHQME6saCC5rlSEl1xyCZ566imMHz8eN998M84991wYjUb4fD7Mnj0bt99+O0pKSpCWlqYONukw6FFLzgGVLXMkLBYLRowYgezsbLXW5frhtWbPno2OHTuq8dMfvNFoFJ999hlmz54NoGE9tm/fHvfccw+GDh2qXqNSJToWCoWaRJSoJIm4U1EXFhbiwQcfVEgPDyS73Y5wOIyHHnoIK1euxKRJk3DRRRepsGvbtm0BAPPmzcPcuXNRWVnZZN/rjaTWIBK1iUajah1JvcL3yTFr7jotZqCLr5QHGukkMmpICgLRTBpMe/fuxQMPPIB9+/ZhypQpGDRokOKRfvrpp5g3bx5+/PFHtGnTBv/4xz/UdxHxlhV1mODLErcs5SbllltuwZNPPokePXqo1yRlraUbDcn5pOGi15GHikaekPnUzRuF+5/0HnaMnDJlCl544QV8/PHHmD17NlwuFywWC6666ipkZmbiL3/5C7p37672bHNOJEW/1/Q84+YMXNJpeNbzfXSu9WegjCw298zHKvJslvQefZlkgg2HArIOdT/6sWKDOVb9qq+vR01NjabSlslkwpYtW3DfffchGo3C5XKpsaFRL8tfcu8SSCEVhfuIydikqnCf0+lmBS6CM8FgUOl7SYVitR2gsamfxWJRlVZ4DhP05PvYsIj2nKxRn5mZqUop8p64JsxmM95//328++67uOaaa3DRRRc1Iu0C2JQOM50AfadSPeL+b2GY6xdeokUqvd8jQWT1IgcxHo8rxWwwNFTV+OSTTzBz5kz4/X785S9/wdtvv43k5GTU19cjFArht7/9LebOnYuuXbuqzV9aWorf/OY3AICFCxfitNNOUwZVUlISLr/8cjz77LPo3r077HY7otGGxigrV67EjBkzsGbNGmRmZiIWi+Hll1/GsmXLUF1djdTUVEydOhXXXXcd1qxZgzlz5mD+/Pnwer0wmUwYMmQIfD4fkpOTUV1drTZWaWkpioqKGvhdrsZxk7xd+VpLSHOIOb9TP9cS7Wtp9IfKkiibrB1OlFZ/D9LgZGWQXr164ZJLLlHPdSiFajAY8PLLL6tEJBroHH9y92Q1EBoQRIcOHDgAu90Oi8WCkpIS9OzZE6WlpXj++ecxefJk1NfXo2PHjnj99dcVr1w28OGhEI/H8dRTT2HBggUYPnw4xo8fr5xAZsWzQVEkEkF+fj7y8vI0aLXkdlosFpx99tnKWDEajfj6668xY8YMlRQUDocxatQo/PnPf4bRaERNTQ2cTif69eunnlc2NbJYLHC73cpoBqAJUXNcicwbjUaVNDt69Gj07NkT06dPV11MzWYz3n77baxfvx59+vTB6NGjATQ02Lj77rvxzDPPYNCgQYqrr59LIjitqVyivEdSOogKUU/SGeO6pUHDeebB0pLhfCnkkLtcLk2SJtfRo48+igkTJuCDDz7An/70J2WkFhYWYty4cRg6dChyc3NV0p7ZbEZpaSnee+89ZQCxsycPXpY79Pv9aq1cf/31GDRoEN577z106tSpwej+V+N9Pvvss+jduzeMRqOmwo/L5dIAOS0lrOhE4ZxKhI7PwnOMn5MUkRMl8loSdeT6cTqduO666zBo0CB8++23GDduHL7//nukpKTgiSeeWn7nOgAAIABJREFUwIABA5CdnZ0wIt3cfUpnSr8+9TQPaRcwuVtS3oiQms1muN1uDWDUHPXzRI2fBFuoO+kwAI3JjJLSxT3B1w93P3raBQ1m8vmfeuop3HLLLSgqKlIOZjAYxIABA/Bf//VfWLBgAV599VWsWbMGJpMJNTU1qK2txT333IN3330XDz74IDIyMmCxWHDWWWdhwoQJqlSw3++H3+/HHXfcgbPPPhvvvfceunXrps4zh8OBqqoq5ObmYsaMGRg4cCDatGkDu92Ozz77DA8//DB2794Np9OJ3bt3w2Qy4W9/+xvq6urQoUMHPPTQQzjzzDMVWr98+XL88Y9/hNlsxpw5cxSazxw/rrHU1FTs3bsX99xzD+bPn4+KigoMGjQIKSkpmoiJwWDAxo0bYTKZcPrpp2P06NGacxdoPJ9NJpMqLsC55b5MRD/SJ5weibQ6wxw48vI1x3OQEHXkwQU0Itb19fWwWq0YMGCAKmbP2qq1tbU455xzUFxcrOG31tXVISsrC7169YLH48G+ffsU5y43Nxf9+/dHSUmJSo6QXF+WB6utrUVJSYlKcmEdUunVk36Ql5cHl8uljCe/36/CMSkpKejfvz+KioqaKHb9IjkZ6B+VJZA4XCnRupMZjuXhItEVHr4Mx0n53//9X5V0tnnzZgDAli1bsGLFChgMBvj9fg2SJNFyq9WK5cuXo66uDtu2bcPChQvh9XphtVqRkZGBdu3aoaCgAIFAABs3bkQ8HkevXr1UBQqOC5H2pKQklJeXo6KiQiGkXFtEmRctWoQ2bdqgbdu2SE9P1/DrDAYDVqxYgW+++QZXXXUV9u7di3379uGcc85BamqqOsAikQhKS0vh8/kUws764URSWB7N4XDA6/UiKysL/fr1UzVmlyxZgng8joKCAvTo0QNDhw7VrLutW7di586dKrzJ2u+lpaWIx+MoLy9HaWmpQreJziQnJ2Pw4MHqOpzPTz75RJVdZILTpk2bcMYZZyh6jMzzCIfD2LZtGz7++GOcc8456Nmzp+Y9FD5/axS9vmwOLZVcX6lnW1L0e1pGfoxGo0K4mKvRoUMHZGdnY+XKlZpqV3a7HaNGjVJUCEZzuFf69u0Ln8+HNm3aqO/i83FtMQJlt9vhdDpRUlKCzZs3w+fzNSmP2adPH2X4SyeHa78l5XARRL4m83hOxlzK75YlEXluWiwW9OjRQyW6RyIRVFdXY9SoUWpfS716OH0v9cSRnA0S2ZVGkjSWiouLEQ6HkZubq/ThyYyCJdqj/Knfn4kiIoe7LkVGoOrq6lDwE42ISDIAlUg7YsQIXHjhhdi8ebOyc0wmE8466yyUlZUpSmW7du0wZMgQ7N+/X+njNm3aYOTIkejTpw8MBgMGDBig9i77tUSjUfh8PrhcLpSUlKBTp07q+7mWyHHPz88H0FBZhblMrDXOOf3xxx/x4YcfolevXigqKtLkfvEzjICRqpOSkoL8/HzVhVvyyqPRKDp27IhOnTqhU6dOCoQ1m80axFzaTxJA1K87SUs+lr3Z6gzzRPSHRIfO8Ybp2DYdANLS0jSKdsiQIcjJyYHL5VLNS1gG0ev1omvXrsoj40R0794d77zzDux2u6qNS6qJy+VCx44d1fv52YqKCrRt2xaPPvpokyoT5O2ZzWZkZGQgHA6jqKgIv//971U9V9IW+HcmabDCQE5OjuaZpYfekiLnTS5UoKkxLl87WUY5AI1TxmSucDisSYbUH9STJ09WqGRlZSUAYNGiRdi0aZMmsYUilSx5jZFIBMuXL8c111wDt9utoiJ33XUXxo0bh1AohIceeggHDhzABx98gHbt2innMB6Pq6RTAHj33Xdx8803o3v37pg8eTK+/PJLOBwOrF+/HgMHDoTZbMaYMWPwzDPPqLJVEm0mIsAEzR9++AFvvPEG3G43zGYz0tLSsG7dOtx6661Yt26dytQn0mqz2TRIKxsdjRgxAk899RT69++P5557Dt26dUNJSQn+8Ic/YODAgSqMaDKZcODAATzyyCOYP3++KtFFZ7empkbVNd6wYYOmgsf+/fvRtWtXrFu3Tj2P2WzGDz/8gD/84Q949NFHMWTIEFgsFsyePRvPPfccbr/9dpUQymZJBoMBubm5uO666zBz5ky8/fbbeO2111SimRQZXm0tIveRDNlLJJV7kXWhiQLx+U72/ksUGmdt6Wg0ipSUFNhsNlxzzTW48MILNVzh9PR0AI1hb15nxIgRKC4uVtQl2b5bHqbZ2dnw+XwIBAIq6fjXv/41iouLYTab0Qu91H0ajUbVwZelQCORCDweD9LT01s8uiD1NfeEROZk2TmgkV7S0vPI7+Y6YsSDlXbsdjvy8/Px+OOPo6ysTO0bfUlKRnaOxMmR65zzmsiY5mupqalqzcvcoXg8jvPOOw+9e/fGaaedBoPBoKKSLVGZQ2/DSMqkLBPKqBDHUT7fsToNNHhJmaWB/NZbbyWklzz66KOKwsceGWazGdXV1TAajSguLobVasVNN92EiRMnwul0wmKxoEOHDvjzn/+MpKQkeDweAMD555+PQYMGqciwz+dToFb79u3VPsrIyECfPn3wxz/+UVOFqbKyUo2B2+1Wteg5RwSCZGlNziPtDZl8ev3112PcuHHIzc2F1WpVhjnHXlJR8/PzkZKSovQlflL5MmeFe0BSohLZVse6F1uVYS4fTK+4KYnQl2N5eH0SlNzsbrcbffv2bXJdGe6SFTUAID09XSlrudHkQqKidTgc6lqZmZnIy8sDAA2aICdaUgcKCgrUZyX6KT1rGZqT4RqpDPTPfCJFhnj0CZX8Xv175f8TUZdO9GEjK4To74NzUFtbq0kG69ixo1L2BQUFqoyU1+tVSpDoCze9PEAdDodCB2tqalTDHNkqPCkpCZmZmQiFQvjggw9gsVgwePBgpKWlwe/3o7S0VLWm37VrFzp27IicnBz069cPXbp0gdFoRHZ2NvLy8hSKPm/ePJx55pnIysqCzWbD9u3bVSLy6NGjccYZZ6CsrAxbtmzBZ599BrfbjQEDBiAtLQ0//vgj0tLSUFRUpDjqVIAANFViHA4HAoEA0tPTlYPTtWtXXHLJJejfvz9GjBihFCYPhqSkJGRkZCAvL08lJBkMDTWIO3bsqDL0Y7GYUqhAA+WF+wZoKG23adMmLFu2DC6XC8OGDVN7qE2bNsjNzcXWrVuRnJyMCy64AF26dFFrgEjsp59+Cq/XiwULFqCkpATdu3fXrBlJAWstojeqObZ6I006x/wp33Myo1VSB0l6mKz0YDKZ0KVLl4T3Jsul0dBxu93IzMzUfI/MuZHUHpfLhUAgoNaU0WhUCflSZJdAWQ2EvO+WEH1EkQANDVr9fEt0TtK7WnI+SV+Rjh33BnWO3W5Hx44dUVRUpAxCWR6W93ikkQc9oJPoPJGvWa1W1WuC80fp1q2b0t80QluSzilFH6nSzyedHK5vGaE73JzG41oqC9c97QGLxYJQKIS+fftqHAZ+R9euXVFcXAwAynaRzhRtCqLd0h5KSUmBwWBARUUFACggkiJtFqPRqBozRiIRZGVlISsrS2MvHe6Z8/Pzcf7556szj2tJOrCMwtlsNpSUlMBqtWoqLCVaN5JOS7qR/BudfI4pJRHIKCM1RwuIGk5m+Ks56devX9zlcmHJkiVYv3498vPzlfEKNFZL0Qs9viMO9fy0amPxWJONTX4eJ0Qa3VQk/L5EfEy5SPV/k4kCes9cvziaC2FycmmoHMrDl4u/vr4eqSkNiaiRaOSkhu3i8YbqIOnp6cjMzNQYqnrOnAzbyXGU72mpe6SSkFUi6ETZbY2Uo81bNsNms6kW75wDhgqBRkOVVAgeVrKklHTuaGiyY5rH44HNZsPSpUtx1113oba2Fn/9619x5pln4p133sG0adOwa9cuhfLefPPNqKurQ3p6uuJnGwwG7NmzB06nE59//jkeeOABFBcX469//SuysrLw5JNP4umnn8Zll12Ge+65Bw6HA7W1tVi9ejWmTZuGYDCIWbNm4cwzz1RIO9ewTJ6jwubP2tpale/QoUMHZdT8+OOPsNlsqkoRx5iHcnV1taqqQY4l6WNE+RnVoENMFJP88xUrVuDGG2+ExWLBY489hv79+2sSzMrLyzF9+nRkZ2dj6tSpimMqlWYgEMA//vEP3HPPPRg8eDBefPFFpLgau9PV1de1asSciZRGo7FJGbh4PA6/34+1a9eiW7duyMjIOKnGuGx1H0dj3WoaRdJR5uFJdEr+32AwqH0ln0+i4vF4A/2JjjAdO0acZDSPn2GlJZfTpe7T6/Oq0nH6Em4tSWWRwA6jrnQgpFFaX1+PHTt2wGKxoKCgoEXuRT9vQNOSconuH9A6DycDydcL6RrMq5CAlRQ6swqsS/DMxyscE5ZolU3eKLFYDPv370dNTQ26d+9+1Od0PB6H0dD4mfpIvcZgle/TO/L67yK9lrXBZVU6feRDXk/qaL43Fospe06uA0bKmPtCac6uk4a7z+dTPTlycnKQkpKScLy4Bgj4yCiKzJGSukC/TqTdKN+XKKlYOo6MxuzatQtdu3bFsGHD4Pf7sWrVqsNuhFaDmFMRHTx4EA6HQ4VcuShk+JMDx4k64k3/Uw7Z7t27EY/HFXpJCoOkCkhuFA0MHgCsbsIFTzRclvziQqNCT/S8PJTIewUaPX0+M8Ot3NAANGXjZOIbAHUtoou1tbXAT7ZFZWWlhsLRnKI6XuH1OZ/c+DLEJD1WfkZy9uXheSwe55EIx5PKg8kyMuyI/Mb3t2nTRoOmU6Gw7CEr+Ei6gEQlaMwbDAb13SaTCYFAAABQVlaGYDCI/Px8FBUVITMzU5X7q6ysRF1dHdq3bw+DwYDMzEy0bdsW2dnZqlRjdXW1uq/8/Hz1vvbt28PhcODAgQOwWCwIBoPIyspCQUEBUlNTEQwG4XQ60a5dO7Rv3x5VVVVIT0/HwYMHYTabNZxdyduUTiKfxWg0qnbYTKql0qysrFTViOReZqhSGv88CNLT05WjLLl6XBsej0e1WWer5oyMDBw4cEAlGKampiItLU2hZCkpKfD7/fB6vaivr0d6ejoCgQDatm2L3NxcVXN9//79KnEaaNAbXCOtReS+kKg4ozhAY4JgKBSCz+eDx+NRjg8/p0d8TqTEYjFAsOp27dql9AH3Og82ljtMZPiy8hXPAp4NPHQlH5w1j3n487vY7IQ6iPudIAY6N35fVVUVqqqq4HQ6VbnTeLyhfJtqSNQCQp3HMw7QRmvk2cKultXV1Ypipkcnj0sa865RVlam7kU6OzzvqMt4XobDYdUPwe/3N7vGWmLNMXGSuoPrS9IP9HSEQz3z8YjeEJaJqPydtoTX60VNTQ0OHjyo1vSRRrXj8TjQrvH/+/fvV2PAinF08rhOJCLMeyCoRK45jVk5ZtLmkMAjoxA8E8PhMGKxhkpy/E6CMhaLBR6PBwZDQ9EN7uf6+nplh/E1ngmMctntdqSnp8PlcqGsrAwej6dJPXTSgmVUhHqD/5f7jOMcDocVVcZmswEN7Dns3btXvUd+l7QXqMs45jyXjxYEaTWIeUpKChYtWoTFixcjJydHZdxzYqRxpjd2pGF+qIfv1rXbSXme1iobN21UCot8qZac/3g8jv379yMrKwtut1uhZJKfD2hLKyYK/3BDnUiRyIXJZFL5Bkys5IHdpXOXE/q9p+SXK+vWr9MgR61FJP2Dh6fP51OvkXMdjTY0WyooKEBKSoriVPIgaSkEPR6Po3u37od/YyuTHzb+oCpd0ZhhBS/JbT2RIo0KzicNI0bXrFarKmP3448/KueZzoXBYFA0iOO9x//0M3PTvzYd/k2HERqynFM6NnV1dcpIZEnD6upqVFdXo7CwUOW3JUK9E0ksFkNx9+Ljvt9TklhWla5SIICeNkYnlU4eq7yFw2Hs3r0bI0aMwLnnnguPx/PLQsy5aHNycpCXl6ehBMikOmmEa8INYtGe7JDZL0WKioo0YRZpDJ9IkYcLS94xaUs6WkAjP1F+7mRQWYieELHjgRuLxZCamopYLIZAIIBAMACH3XH4C56Sf2uJxWOo7dTAm9fXu/45JVFStUSeDYbGjopsJJWXl4fU1FTljEoDsMUQ81+gMMmfaJpE6xkxOtGSCKzg/2mkyW6JQAOYkJOToyIDRAhPBGIeiUZgNrUaM+GkSiQaATod/3UYRSfaSlRa5ttwbdntdpU8S8RXGuaH2p+xWAzRWBQmY+tqL//vID6/D0mnNxZOkNVWZASZe46oOhtZHe0+bFU7TmZ5U2Rd5COlrLSGKEBrlETGMHDix4vfI8OHFB4ozc2nNA70h9SJvkfJYyMfmQqTIb94PI76SL0y4GUVAXZKk0oXaKgNy3J+eiNOVsTghiU9KhgMqsiCNJToQPDeeA09cisVBZEzABrqRVVVlaKX8H4YMiV/12AwqEx9idjF43FNpIXXJ5XLbDYrWo7L5dKE1PVJibxfCukHRBrkM0keMOeM162oqFBNTDgvrNku15bf71e8aypQtqzmnAYCAcTjcdXOWc4pDaIjDSufLNHnmXCM2Hpbjh8RXwrLhOr5py1xj3HENdzd1i6hcAiB+oDimOudi5agAAJNQQiZrMbkWMnHl/Qurk/q1cPd36HOUg1FKq599kTcXwIuXHd8nXvtUM7s8a45/Xmhf02imUBjYyL5esKxOgHT24Qm89M9kUqh511TH0m6KQCNHmpOVKQZjdQKGUHhNZi3QCom17KkV/LcSQR8Uo+wZwIdSJnXRsOUupxNxCSlh2eGZD9Iw1faK3rQgOcgr8HPSc68pBzzjA4EApoGRAQxCGDQXuFZBzSc82a7NkGYdB05XiwvLO+b86mnDR1OWo1hzodh21WpCDlJekMtEX3lUKgPFQw3JBcHDTAuDk4OD3e2jJV/5zXIs+WikguNm5JKi4sVgGZR8rDk97FjodHYUPqQSk3WXpYHqlxk/MlOkeT+mc1mhCNhtWmkIXOiRRqUnE+5ybmR5SFysg0eWS5PGnuyYgDvS/IQzWYzKioqNJxxt9utNnxSUpIKS5K6IxUv1zCfVyagmEwmBINBtR6J5NfV1alr896Y6AdAtRxm0qT+IOL7k5KScODAAaSmpsLlcqlDUz4blQu/l4a4PFi5Nsmvl++VBxEVtdwPAOBwOFT5LCpR1o3l5/XGRX19veKsy+YpTqdTUwKSuoP7i+Mjy2AGAgGkpaWpa1gsFlV2LhZraNltt9vV3ue1eMi0JsdfGojUZ3IfSdofOaPSOOc15Ptb4h4jkQhCsZBGv/LApIFCY0Q/5gZDQylOr9eLzMzMJklzFD53LNZQKYnOF2kf5LNaLBbN/qQzJj9fHahGXV2dMjSpy5j4Tcf2RIs842TOANBoUPJ+6urqlDOp16XyPDsWOZzRzvuTTXCYaCv3Iuc0UdTkRK81aSOQ3y653HI8CbLQADse8OdIHRygkWNOQEfaE9FoVOW7ydwd/XnZnMhnMxgMCiCibqcOZp4RS4vqgRDOaSwWU45pInuLRr/MkbNYLHC5XPD7/fD5fKpCDxOZWQ6XY8GOpMxBYLlEjpP8Pq45ecZwr5Naxuc1mUw4ePAg0tPTNUa00+lUuTWcA+oCfie7lspcN70DBTQPFss9KnMMj2Z9tRrDHGhMAAW0vOJEiI7eeDpS1IeTRGOLRi2VOI0Yg8GgDB92/ZSKT3rdNCDkISMziCVSyHulUSONPol88Pnl9zBhSya0cHx46NI7ZiKqVNKSdyif+0SLVMb6Ba03UvXzKQ8Y3ltLGOxybrju9GEp/aZTiF9Wggs6xe8GNDQlOJqIou2nf3qx/PRPXtsKTRnHJp8z6v4OqFqskJTRRLvfKL7PkuDv0F3b/NM/ezPvbY6O7dL9PwlAZqI3ir/rcy4NAPQso0Tv09tQ+rlK8LlYvNG4p6NyVInmJ1n0e4frF9Aa5zKClSiXo6VoJ/qwr0QC9TqTuomGCRFXiQDKKgt0FKWhI7t+Un8kJycroIDfQ52vH7/k5GSlL6XRQee4JccKaFryUCJ5PBMkAJLIaGuJ3BygsYwj0EiD4jjRyQW0Sar6z8ufxzuOiZ5Rnh/y+7geuHaY1NhSe1pPt+U+lFFHzqWMMDRnhB9qPiUoQ5vDarWqCipyndAG0KPEUk/oo7bS/pFMBpbIpKHN1yXoJUEfrhmLxQK/36+cI+77RAngjBjrk3l5T/IZOW4EqzjPfE75GgAVTYjH4+o6dE7ks/P+5fPJcdXTjaSuI0B6pNKqDHNAa7hJQzaRIpQTczQbixvRkiQsD46ZAYkNkkRjmshIAhqMGxm5o/GiFyOaGhFAU2NMfr8TiSXRZ9C0xI+kPxzOAz9W0StC+Zq8F73xrU/mlSHblrhPiUhIFBZoRKfU67+gMPwpOX4xGow46G1AXKQTfSRJWCdbeFjz0AK0Jb/4Mzk5WWNcEu060ftMlmxTomcy6PWp1JF6vdicnuXfErEkEunrRNdIpJf1Dl+Ca0Vj0ZOyDuR8AtAYbUT+9RUyZIUvafjJc5KGCtAYcWXESlYEowEjry91OCNibIVOQ0ZGAyWYRYlEIgrVlqX3/H6/opJReEbQ+Oez81lYmYb3Kw0p/ZjJa/CeuB8kDYFV1pjjxnEm2CSBNFb1YsEKs9msjEui8TJqTOAt0XzSIZT2zpHaN3Rs+SxNcqPkOtbbHXIfJNpn+n2i3xN6QMQB7R5KtEcTgSiHkkTAjN62kkCQtIcSPZP+Gfh/vS0lQaefvoslt6XOlDQariXuwaPNR2l1hnlzIg1wDYqZACk/3CI2mUz/MQktRoMRcUPihj5HOl7HKonmSn6n/JtEMhLdX0segvprSyRD3Yd4SxxxPPnkk7j11ltx9dVX46WXXoLFYsGUKVPw7LPPIhKJwO12K8+cUQ6iAQZDQ3moAwcO4N5778XDDz/c5J6oZL/66itceeWVKC0tRdu2bVWoLRAIIBKJoG3btqioqMD48ePx1Vdf4fHHH8dvfvMbHDhwQBlqTFi0Wq1wuVyKeuJ0OnHw4EHceuut+Pvf/47MzEyFSNbU1GDNmjU444wzADTw5lkVIhgMqjmR5SUNBoNqkkT+ts/nQ3p6Ourr61FeXo5Zs2bhvffew80334y77rpLfS4SieDgwYMAoEFAgcaSkkROjUYjXC4XDAaDKmXHQ3jJkiX43e9+hy1btigkx2g0KnqK3+9XlBh57xaLBdFoFJ4aj5oDGXWSUa/WZphT9AcF9xONHCJNiVCdE3YP/0EObEuvA/18AtqcAhqWzelYQFtDXBmsJnPikz9RdMsArUGUyCDTy5HkRpuRGGRK9JpR/Ex032nid0OC9xib+V2+T/+c/JveSDOKa3DYpdGXlOA1vq6LyEkEWh9BIqiViELSnMj3tVYd9e8ih5oTfVRDRuSOVH4R1ql+EJpbdEeyGFsKff0lys85DomUiP5+fq77k1Ea4Kd650KpktogjUcAGD9+PPr3768MRZlEI+uXW61W1NbWYuLEiZprEulih02gIaTWvn17VFRUICcnByaTCR988AGeffZZeL1etGvXDh6PB0uXLkUsFsOTTz6JDz74QOU2+P1+RCIRjBo1CnfccYfigjNaYLFYUFtbi2uvvRaXXnopDAYDli9fjscff1yTNPrVV19h3rx52L9/vzL4WaeWCmfAgAGYOHEievXqpRADVuP55JNP8PrrryM3NxezZ89Gnz59NPO7fft2PPHEE1i1apVyaOx2u6KRhUIhhMNhhMNhZGVl4ZZbbsHYsWObJHW2b98eDz30UMLwbXJyMqZPn47vv/8eN910E0aNGoWamhqEQiFkZWWhvr4eF+ACdU/kI5Lm1pIh7xMlzR0UeoPtlByfnKx8mEOBBnq6C++LDidRW0k3sVoS8/NPyckVo8F4RM2LjkbfJAK1AGiKFwCNKL00FmXUAGh0EOLxuAJF2N2TjeDIRwegACAi/3o+v7xHRiAZSUiUMyKpMQS0ZHljUt/i8biKlMj7p86+8847sW7dOsyYMQMlJSVNOpnKXDOCNc1JPB5PGA2UbAD5+/FIqzfMW+Ig1COg0VhUJRwxzGQ2m/Htt9/CbDbD5XJpMm4rKipgtVrRuXNnlRxRXl6OHTt2wO12q7C3LEOWlZWl3mu1WlXiTm1tLaqrqxUaaDabFVec6Krb7UZGRgZisRjKysrg8/kUQuhyuZCVlaUJ7QHNhJN/JtEb34k8ytZk8OgPXT03zGQyITs7G71790Z+fr4KU5WUlKCkpARA006wFBrtBoMBN998s3oPw1/6DmgMp8ryaFVVVVi/fj08Hg+2b98Os9mMoqIiOBwO7N27F2vWrIHL5UIkElGNR2gsS4VJnm08HsfYsWMxevRomEwmtGnTBm+99Zamzv327dsxf/58hMNhFBQUqLVdXV0Ni8UCr9eLvXv34te//rW6NpOVjUYj1qxZg7fffhs33ngjrrjiCsTjcZSVlSEUCqFdu3aIRqPYu3cvNm7cqBJT/X4/gsEgjEYjsrKyYDQaUVFRgbZt28Lr9QJoQNdtNptS0pmZmbjoootQUVGhknyIGpvNZmRkZAAA2rZti379+sHv96tuq/pwI8Pe5D9y7FpTgyG96A8H/UFxMo1zveHBOY3HG5q7MfQPNNIVkpKSsH37dhw4cAAOh0Pl1RgMBqWHyfdPSkqCw+FQXYXp+AJafrNs+MXIh94gqaioQFVVlVorHTp0UMmMMmE12XpyS2Um0o1yDvm7RMb5T9JVJLXklLQu0Ttbif52JNKcYS7XL6DtZC7pbonui5xzJj8zR092vaZxzOvwWfTFFQAtUEIKlNfrxfbt2wE0GvjZ2dlIT09POC78P+0s5p/wvaTtff/99/j+++/xr3/9C99++y1SUlJgMplUR9Pc3Fx13Wg0mrA/xYmI2h+Lzm31hrle5EMey0A1hygREeOiCYfDmD6Pb+pnAAAgAElEQVR9Onbt2gWTyaS6EPr9fuzcuRNdu3bFzJkzMXDgQABAaWkp7r33XlUfmB3QfD4fMjIycPfdd+PSSy9VVIRIJIK0tDSsWrUKf/zjH/Htt9/C7XarRhG1tbWorKxEeno6pkyZggkTJqCsrAyzZs3CF198gZSUFNjtdhQXF2PGjBma7oyJnu/nNHwTITvyb5STfY+JqDzyPulc6Q31QCCAkSNHIi8vDzk5OapdPBWT5CDKBEJSP/gev9+vOJo8OFn9hEa60+lEdXU1MjMbMiNjsRguu+wyFBYWqoRfGixMaquvr4fFYoHT6UQ0GoXX61W12YlWhEIhOJ1O1NbWIhAIqC6ffG6WLpTjEolEMGTIEDz44IOqe6Tb7YbZbMbOnTtx2223IR6Pq+x7q9UKv9+v7o8oHsd85syZ2L17N26//XYMGzYM999/PyZNmoT09HRYrVZ89NFHeOaZZ9CjRw/MmjVLof9msxldu3ZFIBCAzWZT6AiN5mg0iokTJ2L79u2q9TyffceOHfD7/XjsscfwxhtvqPFmp1KIfiJ+v18lSNFR5qHUGkUa34loZPJnos+21P6T98M1xbrq7FQrk7q++OILPP/88wgGg4oXDzQ6uzabDaFQCMOHD8ctt9yiePLhcFihZ6wIAmgdUEaI+Kx1dXWw2WxYtGgRZsyYgfLycnTp0gV/+MMfMHLkSE2i4MmsGsVxk+NH0Tteej1GZycpKUkluwLQcLmBBseJnXbD4TDuu+8+bNu2DdOmTcOgQYPUOBI9ra2tVXvb4XBo9jK/j0lzkl8dDodx7bXXKuOLzjbH1mKx4ODBgyguLsYdd9yBwYMHq/mUORKkm3EfMjpgNpuV8yb1q3RSOEbUf0BjoiCvu2PHDtx7771o06YNpk2bhtzcXA0FkeBZVVUVRo8erSpLscRtIBCAxWJRnY+vvvpq3HfffWp84/E4XE591nvT6LEezT6WvSnXKqtesc49kW89Qi6TFzk3rNwSjzcmWbPZFuecfwOg9Kk81/leVhtjdSSn0wmz2YwVK1Zg9uzZ2LlzJ1JSUhCLxXD//fdjzJgxAKCooETWJbhkNBrh8XhUkivzLWpqavDf//3fmDBhAtq0aYOXX34Zjz/+OPLz81FZWYmRI0fivvvuQ2ZmpqpYxbV9JKIHPRI5DsCx2zS/KMO8JdEeHt5UwHLgvV4vNm/ejNraWrjdbg0aCDS2dt+3bx++//57WCwW5OXlIRqNKnR77dq16NatGzp37ozk5GSF+EWjUdTU1MDj8cBut2PhwoUAgC5duigDnygOr1deXo6tW7fCZDIhPz9fGYC/NETk5w6tNxfebw51pHi9XuTk5CAnJ0e9Z+/evdi5c6cGXaUizMzMRH5+PqxWa5MSWTL5x2w2Y9myZYrKYjQasXTpUtTU1OCbb75BUVERvF4vCgoKMHz4cOzZswdWqxVZWVma8oC83q5du2AwGFQILxgMahL9iNJLQzMeb0h4dTgc8Hq9Cnmj4u7UqROGDx+uQpBcd3379sXdd9+NcDislBudhjVr1sBoNGLgwIHo168fgAblunr1aqxYsQIXX3wxzj77bAwYMAD9+/dXz7Jnzx7YbDZ06tQJAwcObDIPPp8PdrtdU42ADpHP51NoPp+BtdXpxLDmOh0IVmGSwjmTc/VLl+aeoaWMc71hzrVEp1Rf4nHt2rVYu3YtAKB9+/ZwOByIxWKoqanB/v37AQDZ2dmqljLXnIwqye+VuRbywOT7KysrsXLlSgSDQUQiEfh8Pnz33XfIzs5Gjx491PzrKW0/hyQy0OXv0tiyWq2a/a6//3A4jM2bN6v27x988AF27NiB3/72t8o4o1GlRz6BxiogEiWVVXUo0WgUS5YsQWVlJYqKilRCJSt1BINB+Hw+RVfgPcvkfArnIRptaJmelJSkaZTFn5FIpEndbIIjUu/V19dj06ZNMBgM+PLLL/H++++juLgYU6dOVYAKnXPpiKxcuRIulwtt27ZV66impgZOp1NT7lhfke145/lIRe4n7gNp0PL8ORQtiu+TOpTjS11I2iHPFnkdSeWUz8J9yCo+BIdY63zDhg0qEkyjnzlFMueH+5KOp3TyzWYz/u///g933XUXLrjgAixevBhffPGFYjWw67F8XlnW8HDjfziQ8XilVRnmiZAevfehRwmO9Tuk0GPiArJYLLDZbIqrG4/HMWXKFLz00kt4+OGHccMNNyglwMk8//zz8corr+C6667DWWedhXnz5qnrRyIR/PrXv8ZDDz2EJ598ElOmTIHD4UAgEEDPnj3xxRdfqHuyWq0qoZD3RkVSWFiI119/HXv27MFll12Guro6vP7664cti/VzoOVynPWOTqL7+rkQ/UT3JJG2RCIz35OSkuD1evHoo4/i5ZdfRrdu3RT9xGKxoLy8HHa7HfPmzUNxcbGGliKVF43J3/72t4rrZjabceDAAUQiEUybNk0Z3lOmTMGNN96IFStWoLS0FBdffDEKCwvRpk0bdQC9+OKLePvtt9GpUydMnz4dubm5cLvdABrmw+l0KhQqLS0Na9euxddffw2LxYLvvvsOlZWVigoiK9bwdxrlNMzJ1abDCTQgd9999x0GDx6MM888E4888giysrLw+eefw2azoXv37sjMzESHDh2aVOSJRCIIBALweDzweBoSMnmwEuV0uVzwer1Yu3YtysvLFari8XjwyCOPKAchHA7D5/MhLy8PM2bMwIcffogbbrgBF198sVLsDMf2RV91/8uWLYPRaERBQQE6duwIh8Nx1Nn1rVGkHpVoXUs5HdRfNHJ4oLJCjCwTl5ycjFAohFgshhdeeAHXXXedikDt3bsX5557LqxWK+bPn4/u3bsrY477igYHDTY+Iw262tpaFR2trKzE999/j48++gidO3fG9u3b1X6cNm0aJk2ahBdeeAEdO3ZEampqAxhzZIBai0ki2oMeSJCONp0SItDSMA8EAli0aBHefvtteDwe7NixA+3atdNUkuB3kT5EKhiTxGVCMaAtuUkHm1G/a665BnPnztU8A79HGnv6RmKyZLBE4YEG9J1GOl8nks7xkM6DvlRoWVkZ5syZgyVLlqioWVZWlkKJA4GAcv5lKb127drhtddew/Dhw5ugo9RlfJ19KI4UOJNjo5/fw4mkSlKCwSCSkpJUPXEAKsJAHcm5Yl6S0+lEPB5XdcZlPwCuPTnPzPNhZAGAMpLpAIVCIUUDNRgM8Pv9CIfDuOiii3DRRRep57z//vvh8/nUWEhuOyMcMhrtdrsVXS0cDmP37t3Ytm0bLrvsMuWgPPHEE/jd736HX/3qV/jkk0/QqVMnxONxxV4wmUxwuVxHZJQ3N2dS10i63LFIqzLMT4YohSaikvr6k/InQ1TctNKj52cpROlYXN9ut2vqicqGLPTCSW3RI3NUVuQJyo3O8KRE7X8uw/Y/UaicQqGQaigUi8Vwww034IYbblAUEpPJhMWLF+Oxxx5TqINUtrJ0FwCkp6fjpZdeUmshKysLS5cuxZQpU/Dcc8+hR48eCAaDyMpqKKR++eWX45///Ceuu+46zJw5E2PGjEFSUhL27NmDN998E4888giGDh2q7ptrjQYRANUY6ZlnnsErr7yimjscPHhQNVHhemS1FVktRZa+TEpKQmpqqnq+VatWYdq0aQCAlStX4vLLL1fjVVlZiYcffhgXX3yx4o/zu/i77FZnMDTWTuZBEYvFsHfvXkXvYiiTvHMeqCzNZrVaUV5ejlgshocffhhz585VezozM7MBedvTOM/jxo2DyWTCnXfeialTp6r7OCVHJ1znPPSIxLK6j9VqVU0+6HgBwIEDB9ThS8c1HA5rooM1NTXIyspCKBTSJHbxe3lISiOB8vHHHyuq1IQJEzQc2pkzZ+KKK67ADTfcgBkzZuD8889v0tWyNUUoeTZIozQWi6mohMPhaBKmd7lcmDBhAsaOHYsff/wRt956K7Zt26bJzZAUEJ6HFKKX+kY4skELr5Oamor6+npUVFQo/RUOhzXNwbjX+XlJXaDhRafKbrervUs0ldeg08fPSm61yWSCx+NBfX09HA4HOnTogDvvvBPTp0/Hp59+iv/+7//WoKmsfW+325VuYu5LRUVFE0Ouvr5e6SmgsdrTyaBBMdqpF+4p2iEcH84tx5uUIFbtYsRBllfls9Ah4vzJxj4Wi0VF+202GyKRCKqqqpCamgqHw6EpsVlbW4uamhq43W6N3SX3FtddorKgBFTq6urgcDiQnJyMRx55BG+88Qa+++47TelKj8eDSCSi8ly4xhhNO1nzdCTyH2eYJ0KGJBIINHbQk2iOftGz82JSUpKmK6LNZkNKSoomGYLGAVEdWcZMhpm40Mi9lMY6EQWDwQCfz4dQKKSpL3tKTpwcifElEQM6X927d0fXrl0V6mOxWHDGGWdoUFaJaLBmLV+PRCLo37+/ur7BYEBBQQFcLhf69esHh8OB1atXY/ny5aivr0daWho2bNiAjRs34pNPPoHD4UBtbS2+/fZbfPfdd1i5ciXq6uqwf/9+tV5uuOEGTaIplW1eXp6iDezfvx9er1cdbrLSw/r16/Hmm29qokv19fXYv3+/Bsmggi4qKkJhYaFC/5ctW4b9+/cjOTlZJc/y+elwEtmXoVGOiYwwGAwNCYHdu3dHRUWFUtw8GOj8si7y0qVLkZWVhX79+sFoNMLr9ao9ydyQvdir5qp3796oq6tDdna2Got/ByrLzyF6h5Q6lc4Ucy6cTifOPvtsRCIRdO7cWY231+vFp59+isGDB6OwsFCVyeR6sNvtKoEf0FaVkEAHDTsAOHjwIFauXInTTz8dqampqK6uVmvM6XTijDPOwA8//KDhWVNak1H+/9m77vAqy+R7bsvtLZWQBAgJSJHelC6KoqvoqqCi+1ixrvtzZaWIZUXFDq4VcW276irKWlHXxVVZFUIVJUoQ6RAIpN2a3OTe+/sjnDfzfYQqJayZ5+EJKfcrb5l35syZmb1FImks7S3Kw67Ffr8f2dnZKg+FOklfspT7jtENCudSItryTOXZRkSWPyOgoW/awudlUp+MzOmRSWlc8hpcT4yEUT9LJ59nMgDk5eUhkUigS5cuSE1NVQivHE9W4iJ9hs8uUXI+Ew08OXZHU9Tc7F6uRL75TNFoVOlqovnRaBTxeBxut1uNM51U2h6cn0QioehlfH86zzU1NaqaFu9JEIWOLRNHgUb+uYwyyP/L9UZHjQ6ZfF+ug/r6eqxbtw6bN2+G3+9XBTRooMsyuTJPgcCPtOWOpfwqDfOmqCz8Sv44DQR6mW63W1PGrr6+XtV1ZijHarXC6/VqOmxSAciqA+SucTFxwUlOL0Ou+g5hABQXknKkuKEt0vTYyjbeVEby0KYi4KFTV1ennD2uBaPRCIejoXMBD4FQKKQQad6zrKwMoVAIiUQC33zzDSZOnIiSkhJ16PFAmjNnDj7++GNEo1HVinnq1KnqoAoEArBYLLjqqqtUqBpo6I4WCARw880347rrroPNZsMXX3yB6667ToNyMsF1wYIFWLFihfqdRF9yc3M1BlifPn3w/PPPK+5fIBDAPffcg5dffhk33XQTBg0apJLPGELVV7Kh0uV4M0pEoyMrKwuTJ0/GrbfeqvaYzWZTY2A2m5GZmYl4PI4JEybAarVi0qRJGmSVYf5EIoEc5Kifv/322wiHwypywMS25mSUHQ8iE/dIAeNBy4SwSCSCQCCAeDyOsWPH4je/+Q2sVivC4TDcbjeqqqrw3HPP4bHHHsOIESPUAUpqBaBNPmSDHN6LIIYEOdxut0rMk0YlqWhVVVVo166dmn8pMrJzrIVnWlNcbO51xRc3aT9HegAjsPF4HOFwWMMTlrxhaZzz2mwhz3mW4BOfJRwOo6amRiVjS6OPyYmSjsTn0wNj0nCX+rOqqgrxeBx+vx92u12hvtIop4FHWkYwGERFRQUsFgvcbje2bt2K1NRUpKena/J1UlJS1PO7XC6kpaXB7XbD4/EoDnQsFoPH41Frmu/NMVTG4xE8pmXUoL6+XhnmpJlwrFipiAg3oweMMHFc5TWl3pP7SFKRKioqFMDkdrvVmJM6yTVEB40RWOoA6URLm0lWRqIzQWeDthSf2WQyISMjQ61Rqec5l1yfsqKMdNSag/zqDPOmRO+xcxHQy5ceFRcLK2jQ8wcau6AVFxfjySefhMfjUeGTwsJC3Hfffejfvz8AKKNBcuoYcqXC51f+nsqCikVSWVrk6AmROkm/IEVJCn/POeX6ktxDyQdkSJEiK4DYbDa0a9cOw4cPR+vWrRXHm/W3P/vsM2zbtg29e/dGly5dVDMd0gVkNEYi4Fzr5FUCDQl3Ho9HcXSpKE0mE7KzszF48GDllHIflJeXo6ysTCGSVIpEo0tLS/Hhhx/C5XLh97//Pc4++2zNWNEhloY59xrHjMqU+5UcyabaMfv9fnWNsrIyFBUVISsrC2eddRays7PVfXlYvPbaazjnnHM0z5Senq5K8dEZk8hNixy40EChUUVjBWg0YHhger1eRYmSCcvr169X65RGBJMHpR6WuQqkNsnETwCKP0yuNI0HGqgulwsul0shbnppToY5RRpRRP5lpFcf7SGXPyUlBRUVFQosIIVB0hdIuSNwQKOO9+UY8u+IWNvtdjUHaWlpsFqtWLNmDebOnQun04lzzz0Xbdu21UQZuZ+5Jgh00SCURr+kJABQlBMabdKJlsYd0EjPoeHKSBubkAGNdDqHw6E+Gw6HEQ6HVWTv/fffx8qVK+FwOJTzTyeDhqmi1DTVVfwwiz66P3/+fCxZsgR2ux1erxeXXnqpejcA2LhxI7788ksEg0H06dMHgwYNwqpVq/DBBx8gLy9PJedyXXk8HnW2MFfonHPOUY6KxWJBUVERFixYoIxhoAF4yszMxIUXXqj6W3Ct0NDnnuLelJ1tCW4B0Nhl/MzSpUuxbNkyGAwGXHPNNWruSWPkmiYQxmvy3GlO1bZ+dYa5OvBN2p9JIR9YJjGwmYpcGERS5OKKxWJYtmwZvv/+e+X1eb1e3Hvvvfj9738Pg8GgEAl6q+Rieb1eFW6lAqQisFgsKhTkcrngdDr34Fu2yNERIgUyKYbcNf18VFRUKI9cHmyJRELx9IiuU3gNGi+xWAy7du1CXl4epkyZAqAhupKRkQGfz4dNmzZh+/btCIVCmDBhAsaOHauUD5NQAS36zHXMd5DPHg6HVRKnNIgBYOTIkfjrX/+qSlQxIbK4uBiXXXaZ+gzXNp3KDz/8ELfffjuuueYaTJ8+HVarFRUVFbDb7crp9Hg86rl52MvkMjoqNJZ4GFdXV6tDmM4FD3CTyYTXX38dd9xxB6666ir06dNH/R5oUM5r1qzBXXfdhe7duwPdGueZVQIYMSCy2iIHJ1K/ch8AUHrQZrMpY5vGEfeQTE5LS0tTxqSkCnBeJJdcH9ngGiY6S8ORpe6ARgebNBlSBpsyzJvi8h4raYpexf3Bd2uKf0waA40bu92uOfdk1EpSOywWiwblJOoJQEV6icpy/vx+v3Kov/zyS0ydOlX158jNzVU6SlZTqa2tVXpQOuU8I6kjWNKPz8BzU84/dR9BCpPJpCJw1MEpKSnYuXMnjEajSjjnZ2SfkOrqatTU1CASiSAcDuOVV17BRx99BAAYN24c8vPz1TX4LgqNPQqGOXU65d1338WsWbMQj8fRsWNHXHnllZq/37x5Mx588EH89NNPmDhxInr37o2FCxfiz3/+sybCwSR67hHq93POOQe9e/fW1AX/9NNPcffdd2vWpsFgQOfOndGlSxcMHDhQnYMyz4pzyj1K55o8eRr+MhGXqPmHH36IBx98EDfccAOefvppFYGlziH9eNeuXeosMRgMChBzuVzNxuE+9k9wlGVvlA8a1jQkGA6ncU1kTqJ4DL8x1MLNOHr0aFRVVanFtWnTJixbtgwejwfPP/88bDabSooAAJ/PpxqcyLAg7+Pz+ZRhADQsxkAgoFE+LdzXwycSVWlKpMLngef3+zF58mRVto2H1+jRo5XhLj9rNDbUg62srMTWrVtRX1+P3Nxctf54f4/HA5/PhzZt2uCSSy6Bw+FAVlYWCgsLlaPG0KrZbFYIg3Qq+c9utysEi4cd6+5KRJOogsPhUIoyHo8rI8VoNCI9PV1xQJnRXlVVpRB6Kj6HwwG/34958+Zh69atePjhh5VCTE1N1USFvF4v/H6/ps40x0Iq7vT0dE2Ndjqqctxat26t0LDJkycjHo/j2WefVe/Ew91oNOK8887Dzz//jBNOOEEzzwyJyxq9MszbIgcmkj5InSmRNCJhTOKjkWQ2m1FaWooRI0agX79+2Lp1KwYNGqQxHGOxmDLwZMnEiooKRTHjuifgYbVa4XK5MHHiROzcuROdO3dWzb6sViuCwSDGjx+veNc0Lmms8d7NTSQFRCLeiURCnStSHA6H0lWMPNDplZxdcu5ZzEByenlmycgDv8rIUjKZxKxZs2AwGLB582YkEgls3rwZc+bMgdvtxltvvaUcq2QyiXnz5qFr164KsWbCJ/t3UH9ZrVb06tULP/zwAzZt2oT+/furs5j6zeFwwOVyKYDEZrMhMzMTf//73zXPyHPfbrcjKytLA5qw83AikUBOTg6qq6txxhlnoF+/fpgyZYoyGvv164fTTjsNlZWV8Hq9imdNatWRFgIx0pF66qmnEAgEcO6556K8vFytAz7z8OHDUVJSgpSUFJSUlCASieDaa69FJBLBjh07MGnSJGzbtg3l5eVYu3YtevTooWiTdXV1uOyyy9CpUydcfPHFeOaZZ2AwGFBdXa2hpfDr3LlzceONN6J3795Yvny5mg/SIUOhEMLhMDIzM1UVmV27dqmcO+l4006SAA4jX6wG5HA41ByTlpyWlqYitLFYTK2P5mKUA8cBYi7Dc/J7Pe/tQKUpjigbMTD8TsOCSWNsBS43Kr1ICqkvRLYlj9ftdmPcuHHIycnBV199hY0bN+K+++6D0WhUta6lQpMGhqS5SLROJtJwXGToUUYE6JHKsM+RFMmJ39tY6TOg9Z61vM7RFnnPpu5PtEgmCCcSCQwbNgzDhg0D0Gh4b968GUVFRZoa2ZwjJiYCUNVQ+M41NTWYPXs23nnnHZSWluKmm26C3+/HxIkT1Tokp7Kurg6LFi1CZWUl/vKXv+C///2vSmQhx53JnM8++6wmyz6ZTMLr9eLll1/GihUr4Pf78eOPP2L9+vV7zAl5gRSZuEqDVRoHxcXFqltocXExJk2apGqG02BwuVy47LLL0KdPH2WU8fDn9eRzEDmTSTzAnvv6lltuwebNm2Gz2ZCeng6fzwe3242HHnoIq1atAtBgVJx66qk4//zzNYaifi3I6zbn6BTnk2Oi14+k5EjKjzTCjtRek/Mn14+kd3HOaZjxcyaTCYFAQJPcxyo7krJCI53XcjqdCiGWCWDcq+SUm81m/OY3v8Hzzz+Pa6+9Vjmaubm5uOWWW/Dmm2+q0m1NcW+PpMh5k6ULiQDSOKGe5bkhOdlS99bX12tOfJmwx3Uu70U0Ut6XX+Ua4s/ZEIrnjdybkyZNwpYtW+ByuVSlKIfDgWuuuQb5+fn4/PPPsW7dOowZMwbt27dH+/btccMNN2DHjh17dLUGoM5Oq9Wq+kSYTCZcc801GDhwoKq2ISOPBMrC4TCys7PRrVs3zfjozyW+l6TAcOzvvvtuBINBpKenIz8/X+mFO+64AyUlJbj//vsxZMgQnHnmmarDrf4d9LQc/kw2x5Lr4EBEX+GGQuNTXo/Re9o5BG2oYwlcSHDE5/PBarWqeaahTEYBUWquQWnLMPLARlU8B7nnpG3Fz9AhI51J8vU5dgsXLsTbb7+NZDKJ6dOnY/jw4WosZeSGz8pnYwd2Rnc5v3rgTWOHGBp/rhdpg3H8ZQT9YJz5Zm+Y7w29pGI6WAWpFor4mKwQIA1KelqSP8yBl3Vc5eFnMBhUiMvtbuzydfrpp6Nnz5743e9+h7fffhv33nuv+p2eSyuzlmVCDL9SofKg4ULgc+uNBy46aTwdK+NXzqUeCd1jEzRT4TvIEmI1NTW46KKLMH78eKVgjEYjvv/+e8yfPx+RSETzblRerMMqQ801NTX46aef8Oabb6KoqAjxeBwPP/wwioqKMGbMGNWlk2NGg9nhcGDx4sVYunQpzGazMihkc4ynnnoKVqtVhZypoIqKirBo0SK1piS3M5FIKLQ4HA6rRB+JBG3atEkTsjUYDCgtLcXs2bPhdruxfv16zJ49G0BjJj4A5OTk4LTTTlNKmsgH10JTTp3UCfqavdybRMnZwZRju2jRIvz444+Ix+Po0qULJk6ciJEjR6rDAv7GeaZ+4RzLKERzkb0Z1fpxampPHa29trd76I0SinxmGtmsgkEDnoeupB0SqCCtgXuDhqLJZFIOstvtVtHQnj17Ijs7G3/+859hNBrhdrvx7rvvYuDAgXj11Vc1oAzlaFIIpaNyMJ+RxnpTwnfinq+pqVHGOA0azgGRc1mxg84NnX9SY6RxDzTM86RJkwBAjTmjYueccw6GDBmC008/Ha+++ip69uyJnJwcdOzYEZ07dz4gFJMUJbPZjGuvvVYzVk3tC/3Pef5Tf8luqQDUmrFYLIhEInA4HJg6dapyJCW4dsstt+DVV1/F1VdfjdWrV2PUqFHqfnvbo0diD+qvya7JpAcB2tw6AIrKVFtbi9TUVI2tQTtkx44dKrFW5sgR+OA+lTqeTjNroptMJuUUG41GlZvHaAiNfu4x5gBwLfMa1B9ffvklnnzySfzud7/D//3f/2lAJLIeGGVhDgnPFa7XWCymaJKSjy7PVwAK8JR2onzPpubyUOa3+Zwwu0WP+EgPan9I5oFKPB7fAzmQBjZLIxGpliW2qKwkkk+DmWFvKgmiM7wO6QayQ51EiIjqkB4js44Z0kskEqowP/n8TPQAACAASURBVK9LJSoPK/l+MrOeRrqsEX24RT9Pcj45p3tTVHu7TnMSHvSyfq9UVkAjskcalIygAFBzRsMjmWzIJRgzZoyixvz2t79Ft27d8NprryEajaJXr164//77UVZWBpvNhoyMDDzwwANYt24dTjnlFIwdO1YdsGvWrMHzzz8Ph8OBG2+8EW3btkVFRYVKTOJ6531Hjx6NkSNHwuFwYPny5Xj55ZdVZ0z+rcnUUJf9kksuQSAQUEiLxWLBrl27YDKZ4PP5FJLStWtXTJ8+HVdddRW6d++OSy+9FH6/X1WOIW+4oKBAOZRUglwnEjmXnES9A8vDnkgZDQyn04nly5fjzTffREVFBXr27Ik5c+Yoqs6IESNgMBhQWVmJZ555Bmj0lxEOhxVFRhp+zckwb0r25tQAWhT2WMve9rc06IDGCiP8nocoAGUYUs8S5WNiGvWt5Cfzs9StJpNJUc6IprZv3x47duxQtBq9E3EsIicHMmfcp0Q65bjohYACzyrSCmj4sPuvNKR4pslzC4A6I3l/IqG8Pilk3DvBYFBVAgGgrg1AQy/ZG4AkzxR952LpREnbQUZXeBbqnROn06koO0BDLg/fl4Yr9RvH12q1IhKJqA60TqdTrVH9WtbPp95R0D+jfhz2J3rEVs615P8bDAZ1FhAUYclEjj+fg/YH0JAzJdc+n4v1z2lLSR3JOTIYDKrykkSuWTZY5lYxQsZITDKZVE2kuM44dw6HQ8NJJwjFvc1nkTRlg6GhUyvzW3gN2eBMVnBRzoauqpGcN95fzpu8/0FFPg74L4+R7A0xl78HDu6lmzIA5efp/eu5uBIlkTQUoFHJU3ExLAI0GsahUAhms1llJPN30siXiILT6YTJZNIcSvQw5UHB0FN1dTUcDscePFgZspTPc7DjdjhEJuFQmqsBDjTtBctDgUpQIkQ8DGVoThqQnDsqDv68vr4eH3/8MQCgb9++uPfeexGPx/Hpp5+ioqIChYWFChGifP311wgGgzj//PNx9dVXq+f66quv8NZbb6Fdu3YYP3482rRpo9YJlSSN37q6Olx88cUYO3YsAKBfv3746KOPEA6H1bqz2Wxwu93Yvn07PvjgA42xxFJYmZmZABrnMzs7G1deeSUmTpyIAQMGYOLEiZqx47XZ4VOGLPV7cm+HqzxgTSYTIpGISrriwf/uu+9i5syZqKurw6OPPorf/va3iMViCIfD2L59O1wuF1auXNmA6AvDnHuQ/MimDN1jLXvbO3J89Ie+/JvmLjxMZdMcGk7kyNJwksYnEVk6aqT+0bhiqJ7/79GjB7p37672ZjKZxPLly+FwONRnkskjW+5uf3Kg6CrnVTq2Ta3bmpoaZewAjc6GNNQJ5OgNe2ms8XyRFAMaXtzL5eXliu9NkIqOL/uB8FzS7zV5RlLkmpbnMo21vRm2Es2XFCcZXaBTw8+xTKJEkEtLS+H1euFwOFTPBD5HIBCA1WrVOAyqKpCu6ERThvkvkb2d69J5oE3BPUMwhJQmIul0qiTCzmgC51eOO/cOx0hGQCVlhc6A3Gt8Ho6JdLaZZMr9KseVPPd+/fqhoKBA9UIAoIxr7gGi5QTJmDtAx5N0Up4jfBfpkFIkv72p8acc6rw2e8OccjhDsXq0g1SVRCKhukcRddGX65H8K7m4AKg65jTCaSAHAgG43W5kZGSgvr4e69evB9DYvpaTz0UpS0bxulJYU51eIg8ur9fbJJpHJCIajcLhcDSJnhxp0StJPXJ3OOf3SAsVF1FeetY8yCRnkUm9XAuRSAQul0shUlQQQIPx+8ILL6C+vh5ZWVnIzc3Ft99+C7PZrBKP5Dp8/fXXkZWVhXfeeQedOnXSrEsmZwYCAXXQUHnK+q28v5yfiooKVZeXUlZWhm3btqFXr164/fbbUVtbq/jKWVlZKCsrw+TJk5Xi531dLhdeeOEF5OTkKNRBOgZAQ51dVuOIxWJwuVwKGZHILw9GGU4HGqNYKSkp+OGHHzBjxgxs3LhRlTgrLi5Wh8/LL7+M4uJilTzNwyoajWLnzp2aeebhI+tcN/dSiU1Fopr6vR7ZORayr/szHF1fXw+fz6fKVnLOpB4jOs4SouTLSgeOjjKvy6iN1WpV4Xc9EtimTRuUlpaiurq6ScT2aOumpu4nEUS9UcP9zvMhkUhoTny73Y6ampo99lgoFFJj4fV6lUEmo1Q8U2T+ksz5oEHENu6siHTDDTfA5XIhGo0iGo3C6XSqakycAxpCoVBI7TnJ05XPqqcYSeqFvpKMPorJhmzhcBgul0tFCPl5vod07urr67Fx40Y88sgjGDt2LEaMGKE45MFgEHa7HS6XS+lH6nbVqr6R3aqRfTnQv1SSyYYu1S6XS82LLBDAtUHKo9/fyOejDubctGrVSiHack54vshymXwnMgC4Ftj/Q7ISKisrkZ6erp6JZwCjGHTW5D3r6+uxcuVKrFu3DhMmTMCJJ56ooYMy2ZZ7g/cGGh18rtdoNKoibGazWTlt7ICqj8yEw+E9qufJ6C7vK0s8How0O8NcHx6QCLXegDhUYy6RSGjq0dBjkl4++VC8ptHYUF+Xk0FUm81TmBDBZgVc3EQHpk+fjjlz5mD06NG46667NA0Z5HOQsyu9PgCK28vNxZJeEknnoguHw0BjTwG1oOg1s2X5kTLQm0LEuTm40aVhvi9UuqnrHQ3Z1z05blwvzECfNGkS/v73v6uyTA6HA1VVVaqCiJ6XWlNTg8rKSpSVlSE9PV01AJK8yvLyckSjUXi9Xk3CUywWw5AhQ/Dpp59iwoQJ+POf/4xTTz0VyWQSu3btwuWXX44pU6Zg0KBBaNWqlbomS4txXRE9YDQFgEJSyK2sr6/H2LFj0b17d8X/lAhcMBhEdXU1evbsifbt26vr8m9Gjx4NoMGAfvPNN3H//fercGFhYSEmTpyIUaNGKeXO8ed+l3Q2mWjGhiV0pA0GA9q2bYuxY8ciKysLsVgMNTU1Cvn3+XyYNm0aXnrpJfzhD3/AmDFjEI1GlUMdjUZxMk5W70XDhtcHmmd0pynUjUlS+n1IBEv+fVPXOBqyr3vxIExJSUEwGERVVZXSIfKgZjWXOXPm4MUXX1Qt3//9738DaMyv4drhuqczbTab8dprr6Gurg5XXHEFgAYj6q677sKCBQvwn//8B126dGmsn+/c/7P/UtmX/tSff1z3/D1RPqDh7GAdeEnHpJDmIykBRqNR1fkn9YHrhgbL3Llz8Ze//AU+nw/XXHMNLrzwQnX/6upqTXUcGoBvvvkmAGi6P/r9ftx///348MMPMXjwYEybNg39+vXTGGd6nakfF4lUy/GjI0a01WAwaDjUVVVVyinjuLInBAAFfLE6GyvWZGRkwOPx4LnnnsMpp5wCoDHfIDMzE+effz5isRiefPJJDB06VBmHErml8JmbsnkONTKncboN2p+Vl5ejurpao2dNJhOKi4tx++23IxgMakoe0tEFoNEZZrNZA9rwfhaLBdFoVDlxfCeZ4+P1ehGLxVBeXo6Kigp1DTrepLJQd0lwhmNNI9tisWDjxo1YtWoV7r33XsWLl9Gc8vJyJJNJ1TSKziK/8roWiwWzZs3C3LlzceWVV2LcuHFNJlxTJHWL/2RulF7H6vfu/qTZGeZ6kcjYvlAevSG3r+vps9PpDcowXDKZxIoVK1SS0JYtW1BdXY1169Zh6dKlSCaTaNWqlUrcC4VCWLp0KcLhMMrKyrBw4UJ4PB4kEg11qFesWNFw8J98MgYMGKDuGwwGsWXLFoWwx2IxrF+/HosXL1YIj9PpRG5uLqLRKDZv3oyFCxdi165diEajWLNmDQKBgPLmgd2G+TDt2JBTSy6YrA98uMPz+zJqpQI6mIV6NNE9PZqvF6Iy3JBWqxW5ubnIzMxEeXm5Qg7ITxwyZAh8Ph8MBoNS1EQR9EnEEn2Q/DReU3LEc3Nz0a5dOyxevBhff/01srKyYLPZsHLlSvj9fowaNQrt2rXTOLQ8cIAGpbVu3Tq4XC60bt1avZM+DGs0GpGTk4Ps7Gy1VmSom7Qv1gjnGIXDYaxatUodkkQ4iFaGw2Gkp6er59ErZTq8NA5qamqUQmSXR6kQaaSdc8452Lx5M5xOp3KQuccLCgrw5Zdfon///qqWbjKZxPbt2zWNh/jeMnQqnYbmJE09z75Qt/0ZxL9IxKV/ybWkniAIwgOZTi4RLbPZjA0bNmD+/PkAGitW0fCmMcZQNY00yo8//ojly5ejZ8+esNvt2LhxI3788UfU1tbipJNOUvfX82aPpOgR1L3dr6l55vc8yyRFQ0o8HsfmzZsRDoexY8cObN68GbW1tVi5ciV8Ph+2b9+OXr16IT09XWNErl27FosXL4bBYMCZZ56p4QxTl5E2QLR+8ODB8Hg8WLRokSYZfeXKlairq8OgQYNw2mmnqfOINJymxpxfuaepM/QGlEQzJYBFnUWju7S0FACwbNkyBAIBbN26Fd9++y3atGkDg8GA9u3baz7vcrnQp08flJeXY9WqVSoC4/f7sXbtWvTu3RvnnXcecnJy1DjreddynvY2p03N+/7WnebsEpc3Go0YMGAAAoEAiouL1R6Kx+NYvHgxtm/fDgDYsGEDlixZgvT0dIRCIUSjUZSUlGDRokXo27evor4UFRWhbdu28Pl8KtpRU1OD9u3bo1evXipSyTVBOtDGjRuRn5+Pzp07K9upuroa27ZtUxSSLVu2wGAwoKioSEU6WrVqpXEaWMqxtLQUPXv21IwVo8LU3YFAAGvWrMF3332HyspKLFiwAP3791eJoVyjn3zyCebPn4/u3btj3Lhxag6oYySgyygb/zVFa/kl0mwMcw4CDUe9cSeTviQ3iZ+VX/e1eOPx+B71RBnikuGKcDiMhx9+GGvXrkUsFsOmTZtgNBrxzDPP4Pnnn0e3bt3wwAMPIC8vDwBQVFSEmTNnIpFI4D//+Q/WrVsHu92OqqoqpKSk4PLLL8ddd92FvLw89W5GY0Nzkz/96U9YtWoVMjIyAACff/45xowZg0gkArfbjcmTJ2P8+PEIh8OYOXMm5syZg+rqahgMBpx33nkqbFlfXw+v19uASnylfW+Gbb1erxo7mfhxJIThKlKF9OXtJAeRCpRzBBw7dFJf6cZoNGq4gdz0DJcR6R4xYoQ6WCQ3z+PxaFqH8x6syMImDvrwG/9ORm8qKytVworBYMC0adNw3nnnYdasWapUY7du3TBv3jyF7AeDQcRiMZXYZLFYUFlZiRdeeAHz5s3DKaecgmHDhikjCGjknza1NmRI0WQyqXeTSL/RaMQ333yDe++9VzUsqqurw5gxY/D222/Dbrdjx44dcDgc6N69u4bjSboLr80OezQ0GNFiHXgezkxeA4BLLrkEXbp0wbRp09CqVSvlkLNMF8OoAFBSUoKJEyfilVde0VRlcblcat/IkqrSqGsuokdkpBHGqEMsFlN8fOogrnWZI/GLRJwoB6NX9Lqc4AiRMRlpk3WY9bpDr89kOUE6wrJTrMnUUNt4/vz5KC4uRn19PdLS0jB69Gjcdttt6prcb/K6R0o/SXRcvpdE5LhPyPeV88nol9PpVBUtGGWCSD8qLy/Ha6+9hvfffx+bN29Wxtm9996LGTNmIBAIYPHixUhPT1f0IVk0gAg6gQqJzBMMSiQaSqLOnj0bb731Fi699FK191wuF8aOHYs777wTbdu2VePKPR4MBtWelo449RT5ylIYISH4xARwXpu8aeZ5ff/993jxxRfx1VdfoaysTOmqP/zhDwCAMWPG4M4771Q1yYEGcOOhhx7CzJkzce+99yrnr6amBs8++yy6deuG3NxcAI2UCtZB11d90kcC6TTonR199GtvIoEdNjNilOmPf/wjTj/9dAwbNgxutxtGoxFVVVUYPHgwHn74YYwbNw6ffvopfvjhB3XmGI1GvPjii1iyZAmeeuopZGZmwul04vrrr8eiRYswc+ZMuFwu1NTUoKKiAhdeeCEKCwsxZ84cjB07FrW1tSqfoLq6Gh06dMDNN9+MIUOGICcnB6FQCPPnz8djjz2GLVu2wG63q7yfJUuWYNu2bSgoKMA999yjelMADU7Uo48+CovFgscee0xVwKNdQwqXy+VCMBjEM888gzfffBM7d+7ErbfeCrfbrWqYc6x/+uknAI1GN9c5nY6m8ixkxSegEczhvMkKPwcDgDYbw1xPaZAKqSnqA3+nv8b+pCkOtmy7LDcAE39MJhNOPvlkWCwWhMNhbN68GT6fb4/Eh/z8fOTk5KiqLrxOWloaevbs2dBZEI1GMo0Jn8+nkjaHDx+u6oHW1dXB7/crxcKKK9nZ2ejQoQPsdruiuPCaTqdTk1zKcaLzQYNRHs6HW6T3qLKZ0fSBI78eK0NcLywjSMNALzJhk+WnsrOz0bp16z3+VhoTpaWlWL16NfLy8tCxY0fFd+T8EBVcunQpTCYT+vbtC7/fr0GD2AAjkWhoXLVt2zbFf87MzER1dTVMJhPWr1+vMujbtm2LrKwsTZKkw+HAjz/+iK+++goXXngh1q5di/LycgwZMkQ5p2xKUlRUhGAwqCnRSMRLdg4kp9Ln82HAgAFITU2Fy+XCN998o9Dqrl27om/fvgCArl27IplM4rvvvsO2bdtUJz6u06VLlyIajWLTpk3497//jV27dsHpdKoSVykpKRg6dKgmgScUCqG4uFglliWTSWzatAkbNmxAt27dVPUcPiuVaGlpKf75z38CV2vnmegLDYDmWpFF6ke5z+SektFAOmCyQg+RykORX7p/9Z+VRlifPn0UoEAUVRrlANC2bVuMGDECW7ZsQatWrdQalrqO95HJZ0DDOmzXrp1KgPN6vRgwYAAGDx6sPqMSKXc76DKJTT67PpR9KKI/x/RnX1MUL/3485n1+lYKUWOLxYKsrCzk5+cDaFgToVBIc02uDaPRiE6dOuHEE09EWlqaoq7RMKWOIArJ8encuTO6desGj8eD7du3IzMzEzabDX379kWnTp008xUOh9U8cy1LsORAADhpzMo9wXeRKLtcQ+3atQPQQG0oKytTVBc+GwsvDBo0CP/+97+xdOlS1RgrHo9j2LBhSE9P10TXWIFKTyWScytFov4SsDjQ/aX/W1I7WrVqhdTUVDidTni9XoRCIXi9XuTk5GDgwIE466yz8N133yEcDqO2thYZGRlo27YtysvL4Xa7EYlEkJqailNOOUUBlbW1tcjPz8cZZ5yBjh07IpFoKD+6dOlS+Hw+BAIBDXMgNzcX/fv3R5s2bVTd+7q6OlUS1el0olevXqobNZ9XVvAxmUwoLy/Hxx9/jJ49e6rIhn48GTXjmsnOzkZBQYGq8sI5YYW7E088EampqejRo4caN645/X5m0zk5p/rCFjLKxN8fqDSbU4aLn+iIHGC+oJ5CcKgHgZ5jzqxwIrpE1e+++24Nkk9+HD2yrKws5dV37NgRH3zwgUqo4ULkdYk6WK1WTT3xTp064YEHHlBeLTOj+Z5EHEKhEHw+HyZOnIgbb7wRTqdTLTAa3eT1GgwGfIAPNO/LLoYcWzmWh1tk0hE7+DXFp5ML/nCHgn6JcEw1h5pYLzykmfATjze0KCbvjtELGgQOhwNmsxnLli3DTTfdhNGjR+Ppp59GIpFQ4UJ2K9u6dStmzpyJiooKzJ49W8MHZGgOaBivjz76CDfddBPatWuHm2++GRMnToTBYMD333+PU089Fbt27cIFF1yAZ555Ru2r6upqeDweldQMQOVAFBUVYc6cOfB4PMpAXrRoEa6//nps3LhRlQ40Go0KeWb9dJvNhl27dsFgMGD48OF44IEH0KdPHzz77LMoKCjAKaecggceeACFhYUIh8NwOBxIJBKoqKjAzJkz8c9//lNxEelwhkIh1NbWYseOHViyZImGe1lVVYX27dujuLhY7SeTyYTly5fj5ptvxj333IOBAwciMzMTM2bMwAMPPIApU6YoJ5cHbDKZREFBAW666SbMmDFjD8Pc4XDskZfRXNbpwQqBAIlqMrpDOZy0tl/ixNAgcbvdGDt2LILBoAaB4txQzjrrLNWkSjrO/J5fibwyeS0lJQXDhg3DvHnzYDKZlM5u1aoVACj0WRnmDUeAiq42tRaOJMigP/hlcQIJggAN+iISiag51iN+2dnZOP/88zFs2DD4/X4NoMQzr3Xr1qr0KNfGKaecgq5du8JqtcLv92tKCpKznkwmNeF+o9GIoUOHYvbs2YrbHQwGUVhYqM5dvhub1LBRX1Nrcl/nP4EDGt+MwDN/SzqiHTp0wA033IDx48dr8rQAKF1pt9s1XVGZaHzVVVfhggsugNvtVlz2tLQ0Td1rGpgGg0HpHkpTZ57e/uFZfTCi1qoYK1lK9r333lO5cpFIBD6fD/F4HJMmTVK5O5wjl8ulupi3adMGbrcbN998s+pC7fF4YDab8eijj8Lj8ah1eN555+Hkk09W78HICmmTABRaffbZZ6NPnz7KGSfAwjHy+XzK1pL8cH2ZTBrLFNJP0tLScP311+N3v/ud6gQq8wcZGTAajXA4HOqc4xprap4Y1ZX5HNxfci03ZdQfiDQbw5wvwbCx9HDp2cgXbkr57Q1J35/IzSA3bZcuXQBoQ/TS86Uiq62thcvlQufOnfeK9Os/y8/bbDZ06tRpj9/Lzc0Ew2QyiTZt2ihEUT7XvkQav4ctZH0A9zMYDJpaoAD2mEMpezvQjhWavrcQIrmTTCaSc6VHsIjQMdnpxBNPRCQSwT/+8Q+cf/75GDx4sJpzq9UKt9uNwsJC/PDDD/joo49gMpkwYsQIZGdnK34c0d5169aha9euyMvLQ79+/dCmTRuFJLdv316FUz/44AN06dIFffr0gd1ux/r167FixQq4XC6MGzcOBQUF2LJlC8rKyvDhhx8iNTUVI0eORHp6OqLRKLp16wav16vJTqdzyu/NZjMyMjJQU1ODrKwsZfy1b98eF198MYYMGaKQ8urqak1N8NzcXHTo0EElFZnNZpUlT8OYhjTvGwwGkZeXp/ZsRUUFvvnmGyxfvhxZWVkYNGgQMjIy1J7p1KkT1q5dC4/Hg8svvxxdu3ZV+4cI2MKFC/E9vlfzzPC95LweL0Y5EVW9E8y1JhFXfn8gSG9TKKVmLx/E8Owr8imfo1OnTpoogN7AjMfj8Pl8mmoSNATk4SqFnN94vKGWvqSaSZoIx01GGfh5+fcSjf0la2R/uk7PZ5WOCD8rzzPOeVNOhNFoVF02eW3+fG/PRuOTEeNEIqGp/ETnhog50Nj6PS0tDX6/XxOZIfWAc24ymZRxrH8OfeR8b2dFMpnco28En0d/TbfbjU6dOmnOXv040OnguqAUFhY2OVb8W+oPfQJjU88rwUaZb0Rni983hbrrRb/eZTKkyWRCjx49NPekUVtYWKjh9vNcy8zMVAZoNBpFeno60tPT1fiyzT2f12g0Ij09Xc01/07acTK3TdFvsWcVGH6Oa4ZJtJmZmRgzZowqbCCdGa51UmXNZjNOOOEENd4cI/1cy8g0c0rkXMTjjf1vpOHO6+l1qX79HYwY9hUOOlrSt2/fpMvlwoIFC7B06VJkZWWpcCXD/ZKfLI3kQ0HPDQYD8nLz1Pdbt21V3pasySoH02w2azwyKnYiC0SsacxREUgeIBeY3GgANIaOXEycYKI8DKczIU6WgwIaDyOj0Yg2eW3Uz7ds3aIWL6th0Jg6EvMvQ4isOEIemix7pOeG7q02KH9/tEQaM3SesjKz1O+/WfgNsrOzNUYCOax0RhjqJgrAbmrp6en4xz/+gRkzZmDevHnweDwIh8MK2QKAjIwMrF69Gg899BDq6uowZcoU5Ofn47PPPsOTTz6JzZs3IzU1FWPHjsUf//hHVcOeCLzD4VCtk7/55hs89NBDSE9Px4QJE5Camop//OMf+PDDD3HxxRfjsssug8nUULpxw4YNuP3221FdXY177rkHeXl5qK+vh8vl0qBaPPji8bhC1hnZ4fcVFRWwWCyqFCLQ0H1OUncoPIyJZHD9M/LAcGd9fb26Xjze0BCjoqICHo8HK1aswKxZs+DxeDB16lRYLBbFN3e5XIjFYnjiiSeQn5+Piy66CJFIRPM8NputwfmwNuafFP9QrOoXE4XTc42PtegPGnmIUA8xiTaRSOCHH35AQUGBJhIgGzXtS/SHT1OHktQ7mzZvOqh3kPfhs8uDkVELQJs8LQ0u6rlwOAybzabWCo1F0gEllYFGIf9GUgekDk5JSVF6YNPmTU1Gb6Wzs69x3N94NDW2pI8R7bRYLNiyZUuDftqNKErEm/kQfJ94PK459zZs3KDeVwI2NMDZgVEaSNwvcp0x0sVzSuYPAY3UDBqdoVAIgUAAbdq0UbQVOt4ej0clj/I6PGslVUAP7Mhn59/wPOSeJZVP0tL4OYIOjJBQ//D5+f5AI8DFsyoYDCKZTMLr9SIejyvqitVqVQYno+gF7QvUM6/fsF6jf6xWK6qqqlBeXo527dqhvr5eUVW5j/dFh5DrJh6PI79dAzVp3fp16p3q6+vhdrs1zhSpJJwzJkkzYiD1H3M0aGdwLkgDq6+v1wBWHGvJwea+ZoEE7lM6dXwXApBcW3wv9oPx+XzKRpTldiUYyLwCUpIIpjKaDzQa55xzlhDl+SHzxrh/tm7bqpJnuf64bqlPeJ5t3boVAwcOxPDhwxEMBrF06dL9HiDNBjGn8ti1a5d6MRaPpzIFtDQDuTnkxtyX8NBHbuPPclrnHLH3ag7y888/q5CY5BnTOz3cIj3YyspKZdyxdi1/L5EeQNuk4FiK3rM3mUxAZuPvw+EwSkpKVEiNhiYPRVkHnyFEKt2SkhJkZWVh6tSpWL16tUJkKysrFV1q27ZtqKurw+WXX45YLIadO3eivr4e2dnZmDRpkrqP1+tFUVGRUhDcG2yMQxTguuuug8PhQCgUQigUQu/evdG5c2fY7XYU6yYetgAAIABJREFUFxerz8XjcZx33nlKqa5Zs0Y5nqxwwH9MhiRlx2hsKCdqsVgQDAYVBzEnJwdmsxkVFRVKgdNIpCPGPUkjorKyUhlDrBHMd/T7/TAYDIhGo4oH63K5VOk2q9WK0tJSZZh5vV5UV1cjGAxiwIABMJlM+O9//6sSubgGw+Fwg144pXGeKysrUV5eruaXOQDHog/AgYjUgbL2Oh0kg8GAHTt2wG63w263q/0ojd99ITsHYpij0e7Dhg0bNM+1v+vxZ/x7ubZolHANAVCOIY0q7guuLxp2/Lnf71d0KxocpDpwv1RXV6v8BIfDoRJ+VQ3kzMZ3a+rM+aW6S0bp5LX4fgCUEZeSkoJt27YpkCYQCCASiWgMDQmAJJNJzbm3cuVKOJ1OZVR5PB6ls7nmWYKOSedut1vR7xj6p8FHQ4yAFMEGlrekMUeje82aNUrv8HOksHEtSuNZjzrvbayTyaR6Php1EnlmuVlpQLNjcSAQUGNMpJ80UGlQ0hBjYqDZbMbOnTs1tgnvTScyJSUFaN/4nOvXr9foPrvdjsrKStUgrb6+HsFgEICWlrWvtcM1XVNTA7Rr+Hn7/PZ7/nH6Xi/TKEfDLDpOTa/169drzl2pC7nu6OyUl5er3x2oNBvDnBvOZrMpDiy9IRrmUnlzAeoRi/0Zms3B8DvakpGRoQxzieg0hTwcDuHhTt6d0+mEz+dTrYppmEt6C782dSAdC6HStVgs6kCkjDxt5DF5puNKTt7/nzR3yc3NRSQS0RywTWXnNxfRGzA0aslFZlTD5/OpKAL5wwdC1dmfYa7fq0OHDD1Cb3rsJTU1VY2pRM7owB5qEq0cY/2ZJiuHMeLJpOzU1FTlSFDHy9rlstkN5dzR5x7SM7bI4ZGcnBxNm3jSNOLxuEp2psO4NyqMXnh+sgdFixwZIU2SdijQaJTTxkxJSUFtba3KhTkYOkuzMcwpfr8frVq1UuVvAC3HW6+0DlWSSMJwLPsrHyVJIgl0Pjb35oJNTU1FZmamJtx7uOezRVrkcAtLuB1vQqNZX9GhpqYGO3bsQGZmpoo8SANbz4vcm9AQlVEvAHtQ6/6XJT8/X1Es2BnTYDAoTrFMxJRUjkMRPSAl54tUE30N/hZp/tKxY0cA2n1H6kbr1q2PaIGGFvllwrkDtMCi5KozOsRE1oMpH9vsDPOjKUkcXIMbWW2EnhIVMDlNeg6tnqdGPq7+UOO1iIjIn+mr1DBUnUwmNZUJWuTIya/FkWuRBjkY3fBrEcn7lrxb0hASiQQCwQA8bs9+rnT8C9Fp0jWo/2X1KZ4VMqnsWEuLHmsecjT0S3PVYdLZICdbUmtlLkEy2dhUjEi0ZEo0BfLxGseqtO3hiPI3e8P8aFIZ9qmwDNCOlgENNW1NACzi53rdq/9+byNuhKYk315/xnuLHidJNN3W/liKft6a2/Mdihyqoms5CI+MlO1sSCymk8qkpBZpkEPZb/tcq03pIupAALDu/vcrEAMM+35fng9o/BpPHJkuywcqLXro2Et9vIGfnjQ0z/PwqKwReQtLE79ryn+VPzPu5f+7r1sTa0zgPZpyOG3Vw6sljqAcaQP9eFZaBhx6mPRIyrHih7fIr0v0VSCktKzBFmkucjiN8gPlHLdI8xLmVjXH8/p4toGkyMpax6scd/BSCye5RY5n2Rvq3lREIZFIoKysDF9++SVeeukljBw5Er///e9VRZFoNKoS96xWKyKRCB599FF89dVXuOmmmzBw4EBkZGRo2jyzikI8Hsfy5cuxdOlSJJNJ5OXlIR6PIxwOo6amRnWd/eKLL/Dcc8+hoKAAN998M1wul6b8GNCQ8LZjxw7ceeedePfddzFixAgAjTQHQFufFmisGBEIBPDggw9i+fLl6NOnDwYMGIDRo0drxoXhTqvVqjk8WK+W1K+mEJIWPaGVgzHmmlqrpPTpO29yDliBgqFnJrTJZi9MdpMVOQCoEn/8P6tIsYdDdna2qtADQFOyTRYDoKNGaokMdbOBG0vb8nosByrLAAJQXWb5XiyDlkwm8eijj2LatGm44oor8Pjjj6tnYQMjoGFv2G12df/9Vb45GqKf12QyqTjyskQlK6nw/6wyZbPZ4HK5VClgUhFkp09WaeHP5XrhHEkeviyJx06MsqnRge5jjjGrsnA+mSwbj8cRDAZV6VWbzabWIO/Fz8nytwDUGFGXcX1Kzj8rv1C/cd1wDcjnbNFNR04Ohs99JOVQnefjyjA/WghBUwcSy4/JmqrcwKzaIWubA43Jj1RW7BSZSCTg9XqVcpJKKBKJqNquDocDLpdLUz5MHiD19fWwmPWxoOYlLajOgYm+ogbnODMzExdddBGmTZuGoqIiDBs2DB06dNCUEgQamuEUFRXhs88+Q0VFBc4991x1UNCwkE09DAYDevXqhT59+sBoNCIcDqO+vh5er1eVeAQaqiS99NJL6Nq1K2644QZ1eMqmSrz/3Llz4fF41O/kPuABzfuzadby5cuxcOFCbNmyBQ888AB69eq1R4KbHBcJ6rALHCs2HWwSY4scmnA9AQ2GJ41cGiuSU03dRpGd8jhPXGvSKKchx0RTrl1yubmupbHLOZflH/m8fB4aWTIpVvLAeX3ZBZr6WxqV7EvB2s0yF4gJfLyPlOa0LmUVLFag0td3l2eevjeDdHpkVR9y6zkG8j7S+NV3btTXKT8kKtbuz7AztjS4AWjeRZ7V+u7U8p34TLJePh06rh06NLLWONeoFGkTNGc5kvx0WRmO5ZO5Hlj5CoCmaRF1C6DVEzLfzu1yN33DYyyHYgMdV4b5sRRmSEsvWXYKIwKknwT5M4vFgtTUVHXYNNWJzG6379G6l0XzZSOIpjZ9ixz/ImkZRBzr6+vx17/+Fe+99x5uuOEGjBo1ChMmTFAtjTds2IAnn3wSK1aswIgRI3DWWWcBaGzaFIvFVIOFcDjcgOLtrhnOe06bNg1btmzBxIkTNZ3heB22c5aHFKW+vh4OhwNTpkxBu3btlIKlkaI/ZPnzF198EQsWLMDZZ5+NUaNGoWvXrhpjC4CmEYReWK6uRY6ecO5lQy2WZyMqyXnRJzsSfCCKKI04AJr/c31JpBOAMrDl2uRXmQwmrwloE+nlu1CP07jm+0kdK4ETuS9oyMoSabwGzwup35sDWi5FPi/nRTpBjAywUQ9ru/P3LPUnx0buW7nvZcMwnn9Op1N9RhZJkGUDD4QnrHfEOXfSUZLnMHtHUPh3BDnkuqD+0pcSlc/H8ZFFG3gvWbKSv2uuVJajIYyaEVCRfSrY4+Jvf/sbbDYbrrzySo1DzM+zn4TVaoXRaNQAVJTmWtL2QOW4MMyZYSs3/dFGxah8JYLCzZ+SkoJgMIi1a9cqQ4gHFLDn4eH3++FyuVBaWopIJIKUlBS1+QGo5i2BQAAGgwEdOnRA69at1VjQS08kEnsmTzQz+bUqoAMVPTVLjhcNYaPRiAEDBiAcDuP9999HVVWVQrbYCbGsrAw1NTUYNWoUBgwYoJAGq9WqahjbbDbVVIPCcPXnn3+OJUuWYOzYscowBxqcQqvVii1btuDrr79GXl4eKisrVXjaZDKhpqYGDocDo0aNUvuChhf3QEVFBbZu3appjjR37lwsWrQIJ510EjIzM7F69WpEIhENSkLlqygPfRvHThoURPyIovwa0fMDcdQPx1hINJwGTnl5OVavXo3s7GyYTCZEIhGFKtMgTklJQUFBgZonk8mEXbt2Ye3atYrewiYzNpsN2dnZyMjIUAYiu5TKFuPUh/pGH9TTsqa40WjEkiVLVNOgwsJCtGrVSvO8XNMUrn8iqvo+ELIb5t6Q4V8yzpQjsYZlRQvZXVo2nmPTpZ9++klR4UwmEzIzM9GqVStlaMvog8HQUJpz5cqViEQi8Pl86NGjhzrXjEajotZJA17WggegGhHxOfRjoN/bMnrCLozs3sj5KSsrU83PqDPi8ThOOOEEuFwuhMNhFS2h7gIaGkqtWbMGDocDGRkZ6NChg4aOIyMmsnu3HGO+x4GsCbnGjrUO01Owfsnz0HZjxM3hcKgxC4VCKCsrQ0lJCeLxOHr16qU6FMdiMRQWFsLtditnMZlsrNWvBwGaQwWkXyLHhWHeHEQaBzJERxT9iy++wIUXXogBAwbA4XCgrKwMq1evhslkQps2beDxeFBZWYm1a9fC5/Nh3bp1mDFjBt555x1laOXl5akWvlRIaWlpGDlyJMaPHw+/368OJh6OLXJ8i17BSYS4rq4OO3fuRElJiWql/Prrr6Oqqgpff/01ksmkitTceuutSpnPnz8fTqcT/fv3BwDV9TGRSMDv96uOiTxAXC4X/H6/qp0rjR2r1Qqn04lFixbh6quvhsPhUAcXw/i1tbXo3LkzPvroI2WQ01ipra1FSkoKXnzxRdx2220wm80YOHAgYrEYYrEYTj75ZMydOxd///vfFXLGluPJZBKhUAgOhwOrV69uCHEK25Md96LRqAahak6o5P+ikFvMXINkMolPPvkE1113Hfr166eoUTS86uvrUVVVhd69e+OOO+5A//79YbFYsHLlSvzrX//CG2+8gVAopAy9iooK+Hw+jBw5EoMGDUKPHj2QlZWlOhrKzp6AtikP557GPR2ASCSCjRs3YvLkyVi1ahXMZjMGDx6MSy65BN27d0fbtm3V9SsqKuB2uzUdfIEG6pTspKm6AgOqVblE2BkZwG7wrrmtSz2ab7VaFT2Mv/v222+xYMECvP/++9ixYwfMZjO+++473HrrrXj44YdhNptRVlYGv9+vnPRNmzbhiy++wGuvvYb169fDaDTiiSeeQLdu3ZCTkwOTyQSXy4VgMAij0QiPx6MMVtIYZIdgGfWQKLxed+q/j8fjiEajcDgc2Lp1K4qLizFv3jx89tlncDgcCIfDABpoeJMnT8bQoUPRtm1bxY1PJpMoLy/Ht99+i/feew8LFy7Ezp070bZtWzz44IM44YQT4Pf74fF4EI1GUVFRAb/fr5yBWCyGUCjUoM9tjc94rA3tgxU55ocjSs9oLZu3UWc//PDDuOOOOzBlyhR06dIFF110EdasWQMA8Hg8mDNnDk466SQ4nU44nU5UVlYiHA7D4XAogIoinffjUVoM8wMUyZukxycRGbvdjpycHFx77bUYNmwYamtr8fjjjyMQCOCuu+5CWloa1qxZg6uvvho//vgj3G43ZsyYgQEDBuD2229HdnY2nnzySfj9fhV683g8CAQCePjhh/H5559j7Nix6lBkmI1yvG32Ftm/WCwWrFu3Do8//jhWrFihuHRse2+z2RS1ii26afD27t0bjz/+OE444QR1ADHcWltbi2g0qqFMxWIx9Xc0yokQVlRUYMiQIZg5cyYyMzNV62kiTkTmZZhS0gFIqTEajfjtb3+Lu+66C3a7Xa1lPQddcuH5nLNnz8bs2bMRRFA9M40gKuWmHNWWfXH4RKKi+rFOJBI45ZRTMHXqVGRnZ2tAC6KKbH1OFPqaa65BTk4Onn/+eaSmpqK6uhopKSmw2WwoKyvDrFmzcMcdd+D//u//MGbMGNjtdo2hxqRmorgUg8EAn8+nMZzXr1+P6667Drfffjt69uyJyspKzJ07F1OmTMHZZ5+NRx55RCH8pGhQmEMkeeMGgwE2mw12u10h6jJ6I9HT5izca0QwSTnh3rrsssuQlpaGqVOnolOnTojFYrjvvvsUYskIMN93/fr1GD9+PGKxGKZPn44TTzwRu3btwpgxY3DBBRfg9ttvh9Vq3QMdBxqTxWVkYm/Gt55qJ38v157RaEQwGMSHH36Iv/3tbzj11FPxwQcfAIAmcfO2227DZ599hkmTJqFnz54qSfidd97B/fffj7PPPhuvvvoqbDYbvv/+e1xzzTWYPn06zj23oXsqI5N6So9+Lf3a9ZF0rjjfdGjJHNixYwemTZuGjh07YvLkyfjmm28wadIkDB8+XOP0ulyuPahtlObmBB+stBjmBymSZws00myysrJwySWX4NRTT0VOTg4SiQTy8/NRWVmpukQNGDAAY8aMwY8//giTyQSv14sBAwYgJSUFqampGDBggDIyeA9WIti6deseFB59MlyLHP+iT3apqanBd999h8zMTPh8PlRXV6vQHREq0gQYli0vL0dJSYnqOMaDrr6+XhOWJ7KzdOlStG/fHq1atcLy5cthNBoxdOhQ2O12hXhnZmaiR48eABpaSXMdyq/JpLbhlUw45de8vDyceOKJ+3x/yRWmpKam7vG3dCD2hYz8mg/BIyU8HCU/OZFIIC8vD/369VNRP/0aAaCplrFixQo4nU506tRJwzdOJBJo164dpk+fjmXLliEQCGjC6HJtyIou8uc0ymOxGBYuXIilS5ciJSUFAwcOhM/nQ1ZWFgYOHIhFixZhx44dWLVqFTp27KiSqoEGo0omcsrKQnqeu1yr0viQDkNzNsr0xm0kEsH3338Pv9+PE088EUOHDlX64txzz0V1dbWGa59IJBCNRvGvf/0LJpMJXbt2RZ8+feD1epGdnY3CwkL8/PPPmDt3Lnr37o3CwkI1tqQPkQ/ONcP5lA7hgQrXBSl3a9euxeLFizF06FDk5+eryDfXyU8//YRYLIba2lqlW0tLS1FSUoLMzEx06dIFnTp1QjKZRFZWFrKysrBo0SI4nU507doVrVq1Ug4HjXKCKHrDXD/ezVn2RbU8FNHTehwOB3bt2oVvv/0WlZWVOOecc9CjRw+YzWb069cP2dnZsNvtKCwsVLkH9fX1iEajqju8ylE4vm1xjezXMDcYDHkA/gYgCw2B5NnJZPIvBoMhFcCbANoB2ABgbDKZrDQ0zNxfAJwFIALgimQyufzIPP7RE/2CojJi+LOgoAC33norfD6fUijMCifCbjKZ8Ic//EGhivQOidSUlpaqNuA8BCKRiDp0JLLIBcow6fGy0Vtk38IDiWvIarUiFovh0UcfVUgO11NNTY1S/KS1pKSk4Ouvv8af/vQnpbBIPaGBbjQa4fP5AACBQACvvPIKTjvtNBQUFOCWW27BG2+8gZdeegl9+/ZVCaZEuKRBxHXI9SvzLgBt+UIaY7KdezAYhMlkUkhoJBJBXV0dUlNTFZpF1Ku2tha1tbWasZLdJ/XIiT7s3SKHV2RODNC4LmQ7epnkR5EhZ5kwzzVBSkggEIDJZILT6YTP50NKSoqmTCO5pQyDUx/y8A6Hw/B4PNi5cyeefPJJbNq0CXfeeSdsNpuqGnTyySdj1qxZmDVrFt555x3ceOONSEtLU+hnXV0dPB4P7Ha7MrIlfYadP4keU/g+stJHcxXOm75CSXFxMW699VY88sgjGDRokNp7tbW1GD58uMaBZhWnyspKvPzyy7jvvvtw2mmnKQM3kUjg6aefxosvvogHH3wQF1xwAf70pz/B6/UiFAqp/BfOJa/dFBJK0SPnegOS+oZlEUmXIS1JAmyJREIlD8ro2/z58xEOh/HGG28gLy9PRSmtViumT5+ORx99FJ9++ikefPBBZGRkwG63IxAIwGKxKKCkuc///kTP4T9c+tRisSgH/pNPPsGdd96JYcOG4YknnkB2drZaVzU1NYjFYmp+OG8EoeSZIq3ZXwNiXg9gQjKZXG4wGNwAlhkMhn8DuALAZ8lk8kGDwTAZwGQAkwCcCaDD7n8DADy7++v/jOgVh8VigcViUQeQRBBpaNE4YgkgucCJ/BEp5aLidWikxGIxRV9g8kyL/G+JHhmi0unYsSM8Ho+irDSFKgMNBmm3bt3UtajIuOZCoZBCvr755hssXLgQ1dXVGDx4MFq3bo2RI0di2bJl+OSTT1BcXIz//ve/iMViKCkpwdNPPw2fz6fqnPOaKSkpKnGsvr4ebdq0wYgRIxQti88lDWiGLmXZO4PBoBL9aNyQe0raghQmhNNY0yOULXJ4RTo9pCZJJFvSB4iqc63IMptAI8rKXAdWRqGBxTKx4XBYUawkv1uuPd6fBrr8eSwWww8//ICdO3ciJydHhc1jsRicTqeKVv7000/qM7JCCGmDsqqHHAdSsaRxyCgq/8+uhc0ZMZfjT2O6pKQEBQUFGroYy2NSQqGQZrzLysqQm5sLm82mzi6LxYK2bdvCbDajpKQEmzZtUtE0u92u6pYDjWdhUwg59YsEp/i8cs545pLaBzRWA5H6IRKJKL4z51LSeEKhEEKhEPLz89WaY45X586dUVpaig0bNqC6unqPM5tnvkw+5u+PJ+HelHaIdOIOVuScccwikQg2bNiA7t27Izc3FwBUgjDXJNcEqUF0wOV4Sznexlkv+zXMk8lkKYDS3f8PGgyGHwHkADgXwPDdf/YKgC/QYJifC+BvyQYttchgMPgMBkP27usctyIRQxoCsu6r0WhENBoF0JhpzAVFA4MLiJxgoOHgCAQCyMnJgcPh0DR1kFVfJO+2BQn83xUeSPxaVVWlDgui0zIMy88QRU9JSUFFRYUyPoDGOuLJ3cmUzGx/++238fTTT2Pq1KlKId5zzz348ssvMWnSJCxZsgRWqxV1dXVYs2YNbrvtNsUdj0ajSrlKNDEajaJ///7o3Lkz/H6/UqT8W1kKkg6tRKvI05VUGx6yFosFdajbY7yko8JrH44KAi3StOiTP4FGBF2G8WWpTgDqoKXuo2FGNFbmzXBNMzlMrhl5D5nHIOk1bBwTj8dV4n1FRYVy8lg2lIaW1WpVNCzmTBgMBgSDQfX8euNPcs6l4c4EZmA3pWI300qi6s1B9JRMOtuMZOTm5iIUCqm/k4UPgEb+tKwU5nA4UFVVpdYDx1caU6y+wz1KGpOscKN/Pt4vFospvSHPRBnJkO9E518azvzKSAgAZdxLp4AlZqPRKOx2O1wuFyKRiIq68Pl8Pp9y4sh7ZhSFyC5pFsebLpJzK0sSHmpiJe0k2edCniEcezpJnDs6VFxPsqKO1DsUGbk9HuWg8H6DwdAOQC8ARQCyhLG9HQ1UF6DBaN8sPrZl98/017rWYDAsNRgMS3fu3HmQj330hYtI1keVRgY3OpU7+Wp2u10pJNIQqCwMBgMcDge8Xi9sNpvqikflJBOKnE6nojUwHCfDwi3o+f+GEJkBoLpvpqWlKYUlw+bkghLJIBooE+6ARkOitrYWaWlpmDRpkqpLXFtbi6lTpyIajSrUe9iwYfj6668Rj8fx8ssvw+12Y9SoUSgrK0MgEMCOHTtQW1uLYDCIXbt2obq6GqWlpVi7di22bduGefPmoUOHDhoE1WazIScnB16vV+Pk8sCWip4OLx0L7gF95j3QwFmORqOqJOTxdvAdT8J1Z7FYVMIlD+yqqiq4XC6YTCY89thjiobVv39/ZTSx3CGvEwqFMHbsWPTu3Rvjx49Xfzdu3DikpKRgxIgRiEQiuOKKKwBAAR9743fzECflRdanZjI91wgjM9Tf+mo+NPDcbjfC4TDKysoQjUaV3gYAn8+HVq1aKeoNk9kSiQQqKytRVVWlQZebm6EgDWByq+kcU7e43W4sW7YMvXv3VsbUzTffDKBhvF0ul4puRKNRVe4UaNQ7RMSdTicyMzPhdrvVvSsrK7F161ZUVVWpSINEU0lL4lnqcrkUl5v6g58jvYlrQtKr7rzzTtUkcMaMGera3333HXr06IHnn38eP//8MwYMGIBEIoFgMIiysjJNQyVyogGoXB92UuZ4MIJC/rw+iicj6c1ZAoEAAG3JXlZDoa7+9NNP0b17d7VXXC4X0tPT1Rzk5ubiueeeAwDs3LlTAUzcayaTCR6PB2+//TbKysowZ84cFamwWCyw2Wzw+XyaPST7GeidKCnNfXz3Jwec/GkwGFwA5gK4JZlMBnTco6TBYDiokUgmk7MBzAaAvn37NvtRlIgcjQ1ZhYKGEZWa5L7x/7JtNT10/v2qVatU9RYuKlYoaNeuHU466SRNuF4lPOze881N6bfIoYncV2yuYjQaMWnSJGRkZABoVE40wFl2CmhYM1u2bIHZbFaoIdcYUarhw4crZBtoWDvvvfceioqKlAFMLuWKFStQV1eHkpISPPTQQ8rJJC/c4/HgzDPPREFBgUKgpMPAxkQmkwlVVVX4+OOPlYLmga2nrkjUxGQywWq1YuHChaqUGiUajSIQCMDj8WgOc4m0tSDmh0/kmDL3hQaIw+HAxx9/jClTpsBobCjfaTabYbfbMXnyZFx//fVo3769Ml5ZpeW0005DbW0ttm7diltvvRV1dXXIyMjAPffcgzPPPFPpTHK2KdLwCofDqm8EwRImLaelpeGPf/wjli5dimeffRZPPPEE3G43zGYzVq9ejVdeeQVvvfUWxo0bp8AW3o/0QdbSp2HPMQgEAooDS4ScJRVpqNbV1QG77YrmvBa57yhsdHfbbbehdevWOPfcc3HaaachEokgkUhgwYIFGDp0KIDGdcHSqpJGxJ8DDZQFNoex2WzYvn07PvjgA3z33XfKkWK1Jj4T5zMej+OSSy7BkCFD8Omnn2Lu3LmaPQ9A8z1zDLp3747TTz8dGRkZMJvNuOSSS/DGG2/gxhtvVGvmjDPOQGFhoQIAzGazyi0g2s/nAKA5/0nrkvQMGS1Xtdh3243SoWxOkkgkNDBtIpFQtEfZzZfv+dRTT2Hz5s0YOXIkRowYgWQyCafTif/85z9YsmQJOnfujIsuuggnnXQSACgQiNEGrpFQKITy8nJFfautrVX7nIALo8RAY+8ARtk4F7FYTJWkBPbUF8ebHNCTGwwGCxqM8teSyeQ/d/94BykqBoMhG0DZ7p9vBZAnPp67+2fHtdDgIMoiOxqytBINCiJ+FosFoVBIsxB5KPF7h8MBh8OBDRs24N1331XccSqIjIwMTJs2Dd27d9fU8KUnjxZ7/LgWPW+V/+fPSVl57bXXFFpTW1uLWCyGrKws1NfXo7y8vDFkioYDqnv37kqJUhhuPfXUU3HGGWeoEolOpxNvvfUW3n//fRURomFCKstPP/2E6dOnK0OO6cbvAAAgAElEQVSZ2fRWqxVerxf5+fka5JKJnbL9dTgcxooVK7Br1y5UVVUhGAyqEo6yTBupN0Rj3W63emcpRPj5btJwpBzvSUDNURj9AxoOXKPRiMzMTGzYsAEvv/wybrnlFkyYMAEAVGOQPn36ID8/X61BGmjt27fHTTfdhKeffhoTJkxAPB7Hgw8+iNtuu03dT9Y75v0lZUGWvSMXNh6PK8T3sssuQ6dOnXDppZdiw4YN6NatG+LxOJYsWYJZs2apqi+SJkiDjFFKGTbn/5PJJKqqqhRFRzazSSQScDqdGu5rc6utLHUP97wsV5ieno7XX38dF1xwAZ599lmkp6cjmUzikUcewfz589G/f38VbaARKrtq0mAl3zwSiSAQCCjeOatxvP3226iurlZOEA1xGsTUQR06dMDJJ5+MxYsX44UXXtBEr2WU2WQyqbk///zz0atXL7Rq1QoA0L9/f7zyyit49tlnYTKZ0LFjRzz22GPwer2KK848HqvVqkkylEY4oweM1AF7gmM0IKUOas7OmRQ2TSSyrc/jeeyxx2Cz2fDWW2+ha9eu6p3uueceFBUVYdSoUbj77rsBNDaxI+efeyUWi6GgoACZmZmoqqr6f/a+PDyqKnn77SW9pDvd6SRkJYFAwAQEEgQVRXEUNwQRFXVcf86o6LiA4KeCC4gCKjgiOo4Ljo7jNuIMKrihAiICsiq7sggJCQmELL3v/f0R35NzbzosjoFmKR8f0t23b997zzl13qp6qwo2m00AbQAi6V/0A/hV1DTh5OTkFsCcc+lolYOpyqIB8BqATbFY7K/SRx8DuAnAk7/++5H0/l0ajeY9NCV9Nh7t/HKKms5CK49cNDnTm15CoFkB0sojP06j0aCxsRF+vx8dOnTAtddei8zMTOGJpxehtLRUwa3itaiiFkfFgj8h+xc51KnT6RAIBFBVVYWRI0eiffv28Pl8YoPIyspCUlISdu9uWl6kGPz888+YPXu2Yt5xTpJyQPoIlVxdXR00Gg2GDRuG/v37C47wypUr8cknn6BDhw646qqrYDabYTab4Xa78cYbb2Dbtm0CxFBZBgIBWCwWkR/hdrvhdDqRmpqKsrIy4QklNQCA8JCzPq2ccW+1WvHJJ59g0aJF8KPZay5zf7nZywb0ifXw+4qs29ianZtoWVkZJk2aBKPRiDPOOENEZ3Q6HW655RbMmzcPGzZswJ/+9Cfk5eUJOsMPP/yAN954Ax6PBw8++CAsFgsqKiowatQoDB8+HGeeeaaiBKc8pxkWZ24OuaukTtGjCQDdu3fHww8/jL/+9a8C6Ofl5eH+++/H/Pnz4Xa74ff7YTabBdijp85gMGDnzp146qmnkJOTg7Fjx8JgMAjQxSocsVgML730EpYtW4Ybb7wRZ599dguKViKJ7ACQjRGCo4aGBtx2220YNmwYMjIyADSttYEDB+L111/HuHHjcPHFFysqsDQ0NAhaCp+JXKVJTobMzMzE2WefDYfDIcq4ysfLtdXD4TD69OmDWCyG008/HZMmTRIRNaCZC02PNZ1nxcXFyMnJEeBw7ty50Gg0gm4Vi8Uwe/Zs9OrVC9nZ2YqoG+cDjU8aCsxJsNlsSElJETku5JbTESFXw6LInO1EiXKTqiKLwWAQ98Z1RKoQAOzevRs5OTlwOBxCLzBCKkeeAIgmT8QvVqsVP//8M9555x3cdddd6Nmzp4hiAc34ijQhli0Fmp+fyWQSRpJsHMnXfzTLwXjMzwRwA4B1Go3mh1/fG4cmQP6+RqP5M4CdAK769bNP0VQqcSuayiXe/Lte8REWbvayIqBlRuXGv7lxUEHRU86qKlzobFX9l7/8Bbm5uUJhqC1Fhtbk61Bf1wk5ukQ9buqQYTgcRm5uLsaNG6eo6EOFFIlERPicUlFRgSVLloh5SXoK+Xv0+tH7DTRFbjIzM3HLLbdg0KBB4lz//ve/8emnn6K4uBjjx48XCtzpdGLdunWorq4WVTOonOkt5L35/X643W4YjUacffbZGDNmjAI4y94xbgDqijP19fX47rvvFM9Kr9fDarXC5/MJbzoV8on10DZCIEdnBA2xzp07Y9y4ceI4bpSRSAS33347hgwZgnfffRcDBgxAQUGBAH6ff/45Xn/9dQwePFiUmx05ciT+9re/wWq1olevXooSdvSmMhGNAIjGqkajER5av98vQuNmsxnXXXcdpk6divXr10Oj0eDOO+/EAw88gNzcXKxYsULoVplORWOvuroan332GTIyMjB48GCccsopgs7FOQsAn376KRYuXIjBgwfH5bnGq6SUCCLznukJ3rdvH+6//3506tRJYdz37t0bb775Jv7+978jKysLAwcOFJEu8szlKLFM5eRxsVgMmZmZGDhwIAYOHChAYGsSiUTg9/vh8Xhw1llnYeDAgYprl9e7+hkTlO/duxcfffQRTjrpJIwePRrRaBRVVVW47rrrsGbNGqH3IpGIoFEQbMuGphylkwszyIYOAAEg1bpIThROBBHXrVKZpCbKkQmg6Xn27NlTGKxpaWmC3ujz+UQ1rvr6elEAQKdrKo/LMa6qqsKMGTOwYcMG5OTkiPNy7FgOWKYPcyyIoagP3G53izV1NNNYgIOryrIYrbexOS/O8TEAd/6P15VwIpdR4kSWFTmtYDlcKR8PQDGZuKBpETKxiRtKJBJp0exCrgtLIHNCji2RlXs4HEbnzp0xefJkpKeni3rBPO6tt95Cdna2AAHcDLOzs/Hggw+KOrFyx8T09HQFP5ebTjAYhMPhEDVk+bndbld4ebip2Gw2hbcEaK6yEfu1kgHQNOcdDgfMZjM8Hg9cLpe4fooMhOT5DTQDBiprWcgjZLg5HuA54Tn//UQ2pGROrXp+UPx+v6hPzXbv8lhOmDABDQ0NmDRpEvr27Stq6996663o1q0bVq5ciXvvvRcjRozAKaecImiAAARgJhikg0SmQzHq2K5dO3FtY8eOxe7du2E0GtG/f38AgMvlEpU+gJbVXiKRCEpKSvDcc89h1apVePLJJzFr1ixkZ2fDbrejoKAA0WgU8+fPR1FREW644QacdtppzRWHfnWUJyIolznPcgIsPdgE0dyvWGWH0TyCV9LeHA4H7Ha7oCzRUGczGBpWPK/Vam3RhEcNxqgbmLCrTtyN56SS6U5arRZz5szB66+/jpycHFxxxRVCr7Rv3x4PP/wwXnvtNSxduhQ33HADTjrpJFitVqSkpAgHGgDBgQ+Hw2hoaIDT6URDQ4PQdXyG/H2gJZWODpRE00lqYK6uisLxp86dMWMG1q1bh5deegk1NTUCt/Tp0wcvvPACevfuDb1eL6qAAVB43I1Goyi1SSxFLER8RBqLrDN4TTIes1qtLTzmbrcbdrv9sD2/31sSxqxQJ2zJ/8Z7/3BPbC4wJgTFYjFFPc9wOAyn06lopqHT6US5KR5D77l8ToZRuRj4XW4KrDIgKzC1MkskUY+bml6g9hYcT+BJ7SmWgSiVE+cWAOTk5GDYsGEYOnQoiouL8dhjj8FkMiEQCGDAgAGYPHkyXn31Vdx222245JJLBIfvqquuEklajz32GLp06YJp06bBZrMJT6ecJ2G1WrFp0yZcc801yMjIgNfrRVpaGurr62EymfD999+Lro5arRZ+vx/Lly8HAAUgYtSI3ksqYybL0btOQ4LGJjdKuQQkucP04KmBObu/8bfUz5fnOV4kHseeIlOk1MfK6/RgRKbsAU3G18cff4yKigrccccdACCcDX6/H6mpqYhEIoLiwO+88847KC0txRVXXIGcnByh404++WR07doVn332GT755BP069cPpaWlCnqgvIY4l6kPmTCWkpIiroGf//GPf1TcC4E9m8cATYmDMrWCJfIuu+wyWK1WvPDCC/jDH/6A2tpaBAIBvPXWW1i6dCm++uorTJkyBVdddZW4NllHxzNe9ifyGO1PR/5W76usj+Uk12g0ipqaGjidzhZAkx5Pn88ngBdBNBsupaWlCcBMRxW5wABEZTFGMoDmfBF6oZkjwN/k+rdYLAiFQqLCGYFZY2MjAIhIHct5Ak3RvQULFuDDDz/Efffdh8LCQlG0QafT4fzzz8fIkSOxfv16DB06VDwfUntoUNbW1gpHQ0ZGBpKTkxEKheB2uxW6m2Mn7/tEWmr6kDwO6nGhHA4dFo/KQucgDSW5BOHzzz8Pp9OJ6667Du3btxd6u6ioCHl5eWI/4D5WV1eHtLQ0VFRU4Omnn0ZlZSX+/ve/w+FwiNwAjid/g/NFTgplwi7Hj9QrtXDsD7dw7GgYck4DhzaOCQPMZQ8ZJR6IO1IiP1Q5lMVNikBa9jJQ2VE50cvA95jpz3tPTk6OGxrj+TjYAJqTShLQGyMrHPleTkiTyFxdAAqAE4lEsH37dni9XhQWFsJmswEA5syZI2oxZ2dnIxKJoHPnzgCAuXPnYsCAAbjoooug0+nQ2NiI6upqUQWjrq4OmzZtwqJFi3DhhRcKYE1uLEWn02HHjh2i05rL5RLJyHV1dSIRi8A7MzMTXbp0QW5urqK8ofr+ZGqOTLmRPfdAszeN3lAasTKgVD9H/sv1d2KexRc+m9/j+dCAIvjSaDTYunUrVq5ciTvvbAqWUs8Fg0EsX74caWlpOPfcc4VXnBtrKBQSlT7k5E56YlkLnc2K9u7di8bGRsRiTVUgCgoKBK+VepYODeZcaDQa1NfXY9euXcjPz4fdbodG09Rsa8+ePXC5XCgqKlLQyOhE4Vzn2rTb7ejTpw8WLFgggMfmzZuxefNm6HQ6UTmJz1wtiaKj1SKDCHq/e/fujZ9//ll4jxlRcLvdiEQi6NSpEzp27CjmQ3JyMrKzs7Fp0ybRSt1ut0Or1WLLli1obGxEaWkpunXrBgAiGZDnJTebekA2HOj55pqXQbB675ONNr6WqYE03OSCDOQs08mg0+mQl5eHpKQkrFu3Dnl5edBoNLDZbIhEIlizZg1yc3PRv39/ZGRkiLrm/D11VJ2iTlyWrzeeqPVeW+g3gSv2c2qfzycoJNFoFJWVlXC5XMjIyEDXrl1FBZd9+/bhp59+EnODHm86HRsbGzF79myEw2E88cQTIrGXBoBMUaPhxp4ZpKkBEHvX3r17UV1dje7duyuqyhypxE81Zv2t45UwwFzegPcHxo+Ud5VKG4DIUCbQoIVEPplsZCQnJytq99JDIHu+bTabwtKXQ3S8X7PZLBYFE51isRjggOJ8iSQcSz67Q/XMHYsiG1vy8+B7NTU1mDx5MhoaGvDII4+gd+/eAACHwwGttqmltOzFYVhYBr21tbUYO3YsHnvsMZx66ql45ZVXsGjRIkyZMgXnnXeeog4wjceqqipEIhE8+uijGDx4sKAhfPbZZ5g6dSp69+6NcePGIScnR4D0aDSKnJwclJSUiPvgPKRnS/2+ei5Q5PUle90ZRpW96bLIoe3jeV7tT37vdUcPmgz2GalxuVxISUkRkZWkpCTcc889uOmmm3DBBRegY8eOAJpA2b59+xCLxURejdxlMyUlRehBzuvt27fjmWeewYIFC2C323HOOefgvvvuExxVOblSru0PADU1NXj44Ycxc+ZM4WH/9ttv8cADD6CkpARPP/20qK7F0DvQ3B2SerukpAQTJkzAokWLFDSHpKQkXHvttRg2bJiom64W2eOYCCKDCEbsmH/Su3dvPP3007j11ltxyimnYNq0aeL5zpo1C0ajEW+88Qa6du0q3k9NTcWdd96JF198Ef/973/xyiuviOcwfPhwdOnSBRMnTkTfvn2RnJwMt9staqATdBPExWIxERXmXigDbTUfnZ592djns7ZarQJ407kgUx/0ej327dsnwCPn9oUXXohly5bh8ssvx2233Yb7779fGGkjR47EFVdcgbvuuguFhYUCQHq9XlHmmNcv45lDTfrcX6T595J4BjsjFFqtVmATOmwsFgveffddfPPNN5g6dSp++uknYezW1NQgJSUFDz30EDp27Ai9Xo/GxkZR39xisSAcDouuqkDzuiVViq8JrpOSkhQUTtnZt2XLFrz//vt46KGHgHY4oiI7itRjLn9+MJIwwBxQdj0EEqtIvOz9lT1FfE8OnVVWVgovislkwpIlS9C9e3fY7Xah/AKBACoqKrBo0SLU1dUBaCrYP2TIEOHl4e/SCGjrBfp7Ca+T1x0vfCcfe7yJGijRY8AN5dtvv0VFRQXuvvtuZTgUULSs1+l06NGjBwYNGoQOHTqI84dCISxevBi7d+9Gjx490LdvX2zbtg2LFy+G3+8Xnil5Tp911lnIzc3FZZddhl69eglQtHv3bsRiMeTn52PQoEEKTynQNH5bt25FXV2daCbD0CI9prxWlkXkd+WEInm+8Pw8D7nzGo0GMTTPF75HgzURjdNEkgM5PmKxlglgBxKOX/fu3bFlyxasWLFCjKvZbBY0kFNPPVV4SoGmzeqiiy6C3W7HkiVLYLVaFcDJ5XLBarXivPPOQ35+vkj++/LLL1FR0dS/zm63C+OPgEmuKiJ7XT0eD77//nvMnTsXp59+Onw+H5YtWwa/349u3bqhQ4cO2Lt3r8hZiEeZIUjp27ev4BobDAb4/X5FQhzpaYfDWPw99Kca0LJyxsknnwyz2Yxdu3bh888/R35+PgKBANasWYPu3buLGtWMbiQlJeG8887D7NmzUVVVhS+++AI9e/YUFLZOnTphyJAhwgCjAc7f5b80YNTdIQEI2pqsL2lMyM+EQJzjWFZWhsGDByMUCuHrr79WNAAKh8MoKSmByWSC2WwW1BuTyYTS0lLMmTMHW7duxXfffQeLxYKdO3ciOTkZp5xyinCccF3RkJT3u0hE2fnzQPOiNY96W82leOdl8iV7YTBfghVWqMuZJMvKKCaTCSaTCRs3bsSqVauQkZEhuN7btm3DypUr0bt3bzgcDlHmkOPH86SkpGDXrl1Yt24dfvnlF4TDYWzevBnLly9HY2MjAoGASDD9+OOP8dNPP7XgmB9JR82BnMsHIwkDzGXvi9qTmAgic8yZrUxr2OPxCCs+HA7jyy+/xLPPPou1a9cCABYsWIBJkybh5pubCtQYDAZs2bIF48ePx9y5cxEIBLB3717ccccdGDJkiMKC5GKnp5y/yQQcSiIBE7Uy5XvxFsrx5umUjRZA2bGVwJTluYBmDwu7oTFUzrG/+eab8cc//hGZmZni+KysLKSnpyMlJUVBB+AmRMArl6d68MEHRWMNXifnGZUgr1FOcHa73Zg8eTJ++uknLFmyRFwXG7xwc2ViGHmD6nUdj9bC58QucAaDAQEExDH0oqi5vMfbnGpN1Ia8vGH8L8+IOkh+5n/4wx+wYsUK3HjjjXC5XLBYLIhEIsjKysLbb7+NoqIixGJNeQYajQYWiwUzZ87Ehx9+iDvuuAN79+5Fenq66PKYkpKCe+65B8OGDUN+fr4A2nL0hU2wAAj9yMgRaRIEF0ajEVlZWRg1apQAdQMHDsS//vUvFBcXA2gC+oFAAE6nE8nJyeJ7cmdT1rgm/UZO/GtoaBCGpeyJprSlt7w1x8eBRNbVcoIfn9u7776Ljz76CBMmTMCGDRtgt9txww034JprrhEVMljKV6PRIDc3F6+99hrmz5+PqVOnYtWqVWjXrh0++eQTlJSUCP3T2NioqAVOIA5A4cyR/5X3QD5jvi8Dd6DJy+p0OkUZvksvvRS9evXCP/7xDwwbNgypqakiOu3xePDKK6/gwgsvhMPhQDAYFPSJK6+8EmVlZXjttdcwdOhQNDY2IisrC6tXrxaAU06KpGEnt6/3+/1AUx6+IjLQ2n74ewC7QxHxW9Ll8F7oLSe+YYLwrbfein379mHUqFE46aSTRKSBQP61117DjTfeiHvuuQcjRozA7t27MWHCBGzcuBFjxozBOeecg7S0NKFHWGoRaBr/V199FX/729+wb98+AMD06dPx4osvijXEanYVFRW48sorFbl9QHOJxsMpagMTaB33HEgSBpjTe8dwknriHu7Juj+RrXOCAvn6UlJSkJeXh3bt2omudAQ8FIvFgvT0dPTo0UMoCZYTkjdPWQkBzeBNXRM3EYEIa77KdAuKfI/Hsqi9kPI4eb1e0cSCnoOvv/4aJSUl6NGjBzIzMwUvcvjw4TAajfjkk09gtVrhdrsRCARgt9uh1+uxatUqBAIBpKenY9OmTWLT4zPv0KEDLrvsMgDNRtxPP/2E9evXw+fzITs7W+RAeDweRCIRWCwWLF68GF6vF5s3b8Zbb72FjIwMMadjsRh27tyJefPmoaqqCqtXr0anTp1gs9kUuRJyKG/Dhg3417/+BbvdLsaeyc2MJpGHLDc5Wr58eQuvCPWF7IWP9/wTcW20tbS2wcsbxaHq1HiRML5vsVhw2mmnYcmSJdi7d6+IehQUFKBHjx4Amo1MehXz8vJQVlaGgoICGAwGMZdramqQn5+PsrIyFBYWCp5qRkYGLr30UixduhTp6ek466yzFAliQLNHlXqThm96ejouvvhiLFq0SFABu3fvLlqwE/DJ5fB4XtI85Gd15ZVX4rvvvkN5eTlsNhv69++Pnj17HhHniHo8DxYMqOmFfG40imOxGLKzs9GvXz/MmTMHbrcbmZmZIvrLJE4ACtpJeno6Tj/9dHTr1g21tbUwmUzo1auXorILjZ5YLCacBhSuZ5kSyuvjeMT7jPdBLEEKKTnkXbp0Qbdu3ZCXlweHwyGuxe/3o1+/fkhPT1fQZbjPdu3aFX379sWCBQtQW1uLzp07w2azCSAp79Hy9ynx+O+tjQNfE+zzO205r0TkX7o0uQY9MZkcxZw/fz6sVitKS0vRqVMnAM37Cvf9jRs3YseOHcIxtHjxYuzcuRP5+fnIyckR9Bj5O3KX3cLCQpSVlcFms6GhoUEU0iAfXa/XIzc3F2eddVYLTvmRwBUybVfe237LtWgSARj16dMnZrfbsXDhQvzwww/o2LGj4PnxZqkwgJbtg38P0UizUg6XxxN1Aod8fbKCkCequpJBvL/l43gOtai/p9VoD+qaj5Rs2rQJDocDmZmZilClrMjkBX8siaCcaJsNEp/fJ7wR9ILTK1xXV4c777wT48ePF7xtNqUiOJ0yZQoaGhrE+mBYWA7lazQaFBcX4/rrr8fJJ58MoHnDYtOMYDCIWbNm4dVXX8XSpUtRVFSE7t27i6Y/9ACZTCZYrVYEg0Hh7aTBGAgEkJSUJMD6F198gVmzZuGiiy4S1xaLNZVae/bZZzF69Gikp6fjzDPPFMl85CsDzcnUnN+sppGcnIzVq1ejoqIC4VAzaIohJoxZ0lr43OP9fbwI1xU3VuqqYDCIH3/8EZ07d0Zqaqo4Tm40RX0CtNQpB9JfQDOlRB3Bk1+rAaQcxdnfPfE3ZGNM/lvtOZWvQ/6+/J7aYRDv+lvT46+88goefPBB3HnnnXj88ccVlSgU1bV+3Vt+q47mfhBv/9uxYwe0Wi3at2+v4N7G886rr0M9Jvvbb+J9Hg870AMuRzLUEUJZX7X2e/KxFPm1elzjJVUCUCS0tvY76te8Ntk7Lx/DOSfPYTUG4DMT1a/izAG5mhTva8+ePaitrUXXrl0Vz70toy0ip+1QeWwJLIcTD+0Pr3k8Hvzyyy/o1asXzj77bLhcLqxcufKADzph0BAVWXJyski04SRvTalzYsvVH36PTfiAE1RtvGoP8D7XlHzaeH/HO67lxcX/OwGFfFG2aSYgVytVOeIgc5SPRlAVz0MpCxvtpKSkIDk5WYSN9Xo90tLSMGnSJDgcDkWJN3IeS0pK8Oyzz4oQo9frhUajEcCZXo5QKCTqksvgCWjybHk8HgSDQVx99dW46KKLcMstt+Diiy/GbbfdBq/Xi4aGBmi1WkUpMxpQ9IzJyZqpqanYtGkTvv/+e/EeW7YzSYtJq5deeimef/55WCwW0Z6bSXc6nU7kaRCwB4NB2Gw2PPHEE5g5cyZqUSuepd/vR0pKCjwej+D7yiDzt4YRj2bhc5MNHpm6RA60vP4OlgYhf97a3/wttYdvf+HdgzHK5eNb66Yp/4b6OuJ5MOMBHvX35L1H/h4N2KKiIuj1eng8HpjNZsG3lgGkvC8ciHIYD2gS4HGPlL2DzBeRIwRqJ5BaxP6mVbwZXzT7+by178jOS/Wt8nG3NuTyOdVYVH7N82pUr9VyML+jfq1X/as+Jkn1Wv599TNVnUPe5zjG8hwkd1um87S18zRRKLBHg8TTlftzVrC8I9BsWB+MJAwwZ8LM7t27odVqRQtXhrjjNe1h5n1r9UMPSToc+JBElp07dx7pSxAiT87du3eL0HE4HBZNJ9TNPBgxYKiKn/F8iRDZORRRAGJpblVWViIpKUlRD5ylpmw2m6hR7na7xeZP44be4+TkZMRiMVEFiMrc6/UKPrbb7cbevXtFKJcbgcPhEHV3eZ19+/ZF+/btRUiZDYk0GmXTEYZXyR9nmToaU5dccgmsVitqa2tRX1+PcDiM5ORk6HQ6ZGVl4aqrrkLfvn0RjUaFp5thSnqWZGDCBls6nQ7du3fHOeecgw/wgXiWe/fuhdfrFUCzLSJpR4PI90yDifxZNs4h53rXrl0wGo2KvgmyswMdpfMmuuV/OKQ18GoGcEfT/yuwAhMwoen9/dBambR6oA1aDcy5drnfkf4GNOsTHseKMPEoFUf7HncsSHl5uVhvcoSFOry2thb79u0TzeGou9tSr3Ht78AOdOzQsc1+53DJjp07sBNtg4fiUabkXEC5MAgTw2tqag65Gk/CAHMK+YlsKsDGAwQBslVCfpJcjlDwpQ5RFpUvwtlnnf273svhkkXfLkI5yo/0ZQiRPT27d+8WTRjYNEKussHjAQgep9oIAw7N2jxSor4foCUwL+1V2nYXIIMC636Oy1S9Hqd6bVa9PpheDScBeAl4GS83vc5QfX5L0//v4T38BX9RfpZ6EOe//tf/Jdm3bx+2bt2K9PR0EQHXrD4AACAASURBVH1Q1y4+1kU957hZkAJFUC4Dc5PJBK/XK2rUKyqIdDxSd3LsC2knBwPM1cLokQzMNRoNKisrRaSMx6gr0lCO5j3uWJBvF3+LCjQZZwTmdDpyTGtra1FXVydyJ+Smg20pnJeLdy0WdCS/36/o4up0OuH3+2GxWJCbmwuDwQCXywWn0ykaAHm9Xvj9fuTk5CAzM1P0HUhNTRW9V8gRZ4dzcvmps9LS0hAMBlFfXy+cUvsTtZ5vSyykpsRxDOXoJA0tk8mEUCiE6upqAIeWB5gwwJw3lpmZiezsbCQlJQkvKz1vasBD7wCB+f9Kfdi6bev/fB9HRHKP9AW0LrFYDGlpaUhJSRHeVmZgq8vuqbuFAYmZ1NqaqJOpuFmekLaRrKwshEIhZGRkCF7v4djEEklkh4S8YbBMJT1xTDDeu3cvMjMzFVUpKBqNBlu3bUVR56Ijci/Hsmz+aTP0ufoDAvPWuNzc7+iJo45k86XMzEzhMWf0OZ7uPGr3uKNUFNSHHOX71FeMapHCotPpRJUtOqtkZ1dbiEbTnIjJyGUwGFTk/aSnpyMQCECj0YhEbYfDIYx7GoikSsZiMaSnpyM1NRVWq1XQvOiUY/lFUhhJa7TZbNBoNKKplezEO9KixqC8d9kjziRyOpdJ6zwqqSy8saysLGRnZ7ewGMk9PRp5x8ercHNwOBxwOBwCqJIPTDmWxzMajSIcae4UCzRXq5G5onK5N2D/Cc6MIpHvTX45qTEARNkqbupUFnITF/4ulT03dP6+zG9Uc+fk6BV5s6SekRfOZhHqsp5MqmJJMbk5CD0vvH92KFXnkcRiMUTaRZCdnQ2fz6eg9MjHHc+i5jP7/X7U19ejffv2oioFRQb2iZpIfiSktXnk8XhETgPQXFlIbmuv4NKf9NtKGqp5q+ooIulK7Ewpt4Y/3uf/0SaxWFOzNKPRiPbt27dadrOthPRGOeGVXm55z1AfJ3uNSYMEmpO05b2MNFY58VpeF3JfArk7a6KIbBi1ZkDLzjmfzyc6Yh+VwBxoUm4sWE8FR2HYgIk1cjKonIwmT+YTcmSEY8TxTE5OVpTO46KUF6c6810dMjraNhnZu8G5S+8IAAGiqbiA5tJsfC4ErzKwJVAl8K6rqxN1c2XwSn66/IzZjY7eDIbGNRqNKHtGIVhWJyAxF4BlMKl09Xo9nE6naMVNwECjQafTiZKQBNwENgxn1tbWCu46RU4W5rXInHmgefPgBqIA76oa58eaqEGbbDjJ64bPjR396OnhORQg8oTEFTVIlkEGc2fkDrwU9XPd3wYt6z454ibrR/6r7k8g74Py2J6QIyvqNUqR9RLHjPNIXfmlLUWd58W5JINqmZ2g0SgLbrDkJM/DrtT8rrz3y7/JPYB7HnV4KBRSOGhYJSkRpAVNFUqDW71OuUbV3z2QJAwwl72JHCDZ4yPflMK7o/JCnNhgjryo+f7q2rAAFAlK/ExWEHyP/x4t4EptMQNoAYJoiBiSWvEGaNBcgUB9iNxHQY+WXO6DEZ5Trp5giXfgIYpD+pvXL/PV5XuRf5taKN69qO9fCzg9TkXCFLv8sWyevP5l78+xLNxU+Tf/Vf+tpr7IyUonJL6ovZb0bMqi0+lElJflAFvTZwczH+PpQPW/8aJYHM+2LK93Qv43iRd1lP9Xg/fDuf9xr+Jv0qEkG510ishebc5Ffi6X7yUdWS5bSePDYrGInBg56klnHhkT6vWWCKJO/gSg6FwNNK/TQ12PCQPM1V5u+WbUVopsecrA/XBvLuo6q61Zt2rjYX/fU3uMea+sfCF7QOXrSETwqvbEqcdI7RGPt4kBR1c5J/VcPRqNi0QXW4oNgWBA8MrNZnOLiEG8eXSsi5ynwQQrvg8ojV/Z+aGOUP3eIus79e/ws9bK/Mn6Tq03W6s3rQYB+ytRqHYiyGUkGbKXq37xWG7ANIbkWuoEJowkyd87mOifvBfIBr06GiwfJ0euDpUy09rYy/uK+tlQWntfPjcrLsX7TfX8k9/b3/WrSyjHuyb5PuIBI3U0Qv1dda11OULY2nsy3Uh9HXwW/M3W9no+czX+aas1qnaAygaCXq9v6m0QrwSm3ONQ/Xhlh4oeLZGmEc3n1GK/1YwOVaKxwxthb22dUk9Qdx0KkyNhgPnBypHaaOMpAnmzkHm2rTU0AOLXzlWLrBBkTwh/ixsYq5sARxd4jSdtrXyOlHCTofdAEZI7dm7zsIsM9Orq6gQgSaREocMtsvEXD8CpuaLq7x7y7x3sBJbVnforOtW/6s81cY6htFZvWv16f6pR/j11bWx9/OOisSYPGWvzM9Qur/XWHBKHqqfVzhm+x3/VJdrkz1u/ZY36jfiyv7rhB3pfPnc8lMHj433/YB7R/mqwt1Y7fX/niPee+rrjnUf9ngYt7+1XiWmVnSHVex3HsrX8orbSawSScvEFvic3xztaRKvRHpY8GVnfqh3JMs3lt2CahENz6hugwlOHDICWnK22FJ22qYObBhpoNVrxt17X1NWLnyfpkxSf83idVtfi/Xjn02q0SNInxT2Ov8XjjAZji/f535GU1sKvFHUISB0FOZaE98jNmqFBGaCHI2GEwiFEohGEwiH4A35EY1FEohFEY1H4A35EohGEI2FU7a7C+AnjkZuXi0mTJyEaiyIaiyIQDCCGGCLRCALBAMKRsDhH7Nf/AsEAfH6fODYai4rPXG4XdpbvRH1DPVxul3j/v7P/ixRbCoZfNVy8F0NMnF/+/hlnnoGly5YiHAnD5/eh0dmIYCgofisYCsLn94nXDY0NWLBwAc4971yUlpVi2ffLxPl47lA4JN6TRebf87mqOYzAse8xjxf2lueZOj9ABu7/y5o70jrmSIpWoxUJ2LIOU/Ng/1d9ptafcl6FfIz8+YHG9HgetyMtGjSvv9YwjTpScDj3RUZIZJ16QvYvcnRDjtrJwPy35HskpMc8Xihzf1Uq2vx6Tiiz3yxqRUPAIIMIObHvaJd49BUqPDksL0dNPB6PUIjskur3+7Fx40Y4nU7EYjG0a9cOr776Kv72t7+hb9+++Pjjj5GamooFCxaIbHiZi+d2u6HVapGeno6SkhLxmwaDQXQGpcIwGo0499xzsXLlSnz00UcYPHiwKJUVCoVgMpmwZ88efPHFF8jJyUFjY6NQ3MnJyfD5fLBYLPjuu+8UlAS9Xi+S02pqalBZWSnoATabDVdffTU2btyIKVOm4Oqrr4bX68XChQsV1S3ojYxEIoBUgplJjElJSXA4ZHL7sRd1OZDINACZA6re1NVGML1k/2vn5AN5p9ShekYWNZqmpLJVq1YhEonAYDAI/aDX61FcXIzU1FRxjmAwiG3btsHpdMY9N+ekRqNB//7941IYWtMxvG+5RBxlw4YNCIVCKCstE+8ZDAZFl1qguWso9ZsM2GUdd7DPWB0Wlzd7mXLA9+JRQPb3WzHEWjw/Xj/n0Y8//oj6+nqRqM2SdyUlJaJEo0z90Gg02LhxI+rq6mAwGAQFMxQKoUOHDsjPzwcAUeBBTSeRI85qmogclVAnFsr0C+pYmcpVW1uL8vJykTxPw16mUqWnpyM/Px9msxlarRYejwc//vhjXAoR+c9paWkoKChAWlpai2epoIigeU+gfpQNLTUVhvcrU1vaSqfJ183x4u/L4vP74Pf7EY1GYbfbW+zbGo1G0RBJjs75/f4W88RoNIoSytFoFD6fD1VVVZg1axY8Hg8GDx4Mk8kkkkm7dOkiyjPKYyH+l3Da/uhrv7dwXFjOFFDSyw42kiVLQgFztVIBmhesPDFlpXm4N+BQOKTIEl63bh3uu+8+pKam4v333xebDcPqjz/+OF555RUATXWXd+zYgaKiIixdulRManW1mZdffhnPPvssnE4nsrOzUVdXJ+65pqYGp5xyCl588UV0794dPp9PJMIBiWdEqMdUhMhUZQF/y+RNRGlt/vIzdfkoAGIjkBd1bW0tnnnmGXz11Vew2WwIh8Oorq5GNBrF999/j8svvxwWiwVerxc+n09UPpH5jRqNBueccw4ef/xx5Ofnw+Vyidqw3Fh4nNVqhclkUnBVmYWv1WrxzTffYPv27TCbzQIYsZmCx+NBcXExFi5cqADlvBe9Xo9FixbhmWeeQVVVFUwmE6LRqOhW+8QTT2DmzJmCL+zxeAA0txsXm5XUN4IJn+r5rwY+xxtIB5rnmZr/K2/w8XRtWz0n9WZFQGIwGLBgwQLce++9qKioQE5ODrxeL+rr65Gfn4+nnnoKgwcPRjTa1Cl2z549mDhxIpYuXSoqy8ilNoPBIHw+HzIzM7Fx40bFHDyQ10oGJvxbr9dj9+7dGD9+PNxuN/B58/HyulYDAOrxA+XOHMrzU4N03hc/V+uUQwH/sshVXbRaLUaPHo1Vq1ahXbt2IqHV7XZj8uTJGDFihHA80IjesWMHJk6ciM8//xxpaWniOUQiEdx9990YM2aMMNg5drIhEwgERBKtnNAtJyJyfhP8yiCIc0v2XkYiEXz11VeYOnUqdu7cifT0dFElitVGPB4P+vXrh8ceewxlZWXQarVYvHgx/vznP4v64qx+xf06GAyiqKgITz31FM466yyFYdPi+UqPme/F69chzxf13tHWojY+1HkBrFNOp45s0BNsc29RG6VyUrLsOJC71r733nuYPn06Lr30Uuh0OgwfPhx2ux1paWmoq6vDK6+8goEDB4pzuVwuAIDF8mvlgiOk5mWHg+yAkD8/VEkoYB5P1N7HeJ8dTqFVREXS2NiINWvWIDU1VQyKbGE7HA7Y7XZs2LBBdN2z2WxiwjJRSFa47dq1Q25uLn7++Wfs3r0bNpsN3bt3RzQahclkgtlsxuLFi+H1elFaWnrU1K2N5+mRJdGv/7dKPB6aLASV8vGNjY1YsWIF9u7dC6vVCofDgaysLKSmpiIYDMLlcola6A6HQwHGDAYD6uvrsXnzZmzatAk+nw9Ak2dcriEuj4PswZSvmSX29Ho9MjIyYDQakZaWpqgv7nQ6kZ6eLq5f9kKxROTu3buxatUqAMDpp5+OaDSKDh06wGg0wul0isz8tLQ0YdgCEHN+zZo1LZ6bnFQWj8t3LERgDiStrSNZX+5vrR2uNUeQytJhSUlJWLZsGVatWgWbzYbs7Gw4HA7YbDYkJycjJSUFa9euhdVqRUlJiYjMrFy5Ert27UKPHj1gsVhExQh6Z91uN9LT0xVeLHrA2UBFfi6yF5pzNRqN4ocffsCuXbuwa9cufPbZZy26D8ZLBFQn0cXzch6MnlZH3fiv7CFWHy8fe7CivhZ6Q41GI7xeLzZv3gyNRoPs7GyxLnU6HTweD7Zt24aFCxeie/fuwnPu8/nw9ddfIxQKIT8/X9FxVqPRoLq6GvPmzUO3bt2QnZ2toPWpPcXxIgwy0KPEW+98VoFAQID/7du348cff4TJZEJWVpaYiwTRJpMJ6enpiuTZ6upqVFdXo7S0FFarVezV1JH0mDOySD1OQ4TJ6a2VzzzQeB3u/VCuKML1IHPoZbAuYxw1HYdCI4rf5fm5T3HMec7y8nJs2rQJgwYNQr9+/fDll19i/fr1KC8vF02K5ERwXqtoLCd1qD4Sup9rXk7w5pw91OtJOGDemgVPUVt1amlrgBoIBBR8IpPJJDpbyiEsTrabbroJp556Kh544AEsXboUDz74IG655RaFN0tOuohGoxg8eDDOPPNMPPjgg3j77bdx9dVXY9y4cdDr9TCbzVi5ciUmTpyId999FwsWLGj1WSSKyABQPUHV1uaxIurNUp6XYnPVKo+n0tFoNCKk26FDB7z88svIycmBRqOBzWYTHgqWmDIajcLzQ8W3evVqjBo1SuGNIo2FjWasVivsdjsAKBo9cAOiNyMWi+HMM8/EjBkzkJubKzwVcphVLo0lezMIaAjkr7zySjz55JNig7dareJeeG1paWlizoRCIaSmpuLRRx/Fi3hR8YzZHlpOlG7t+R8vEk//caPgvGsN3LXls6JOdDqdov347bffjs6dO2Pq1KkoLCwUyZQOhwM1NTV47LHH8NZbb+Hxxx/HFVdcAZfLhWg0iqKiIkybNg1nnHEGGhoaBBVMTXPw+XzCUAWagQL1DYAWwEGj0cDpdOLVV1/Fq6++CoPBgHA4jO7du6MWteJ+1PpKDSDjebV/j+cczyseT6eqj92f8HgCVZPJhB07duC+++7Do48+iq5duyoM99TUVEyYMAG33XYbRo4cibvuugvRaBR79uzBiy++iIceeggDBw7Ejh07RNTLZDLhrbfewkMPPYRhw4Zh5MiRInLGOtjstUD9pnY4yQZnPKNIHle5ZwQ98Xa7Hddccw0effRRUa+bn3u9XiQnJyMnJ0cAaafTiUGDBuG5555Deno66urqFF75aDQKi8WCjIwM6HQ6+Hw+GI1G4RWWSz+rvbmtzRe+jgfk2mqNyh58Pj/qYrm6iuwpV98jKZTcx+TqUIxmUU8TP3Gc+TolJUU8x+HDhyM/Px8TJkzAt99+izFjxuDUU08Ve4zX64XZbEZSUhK8Xm+TwS8Bc9mjf7iE43bMeczjKZTWvD2t3Wxbb8RarVaEzzUajWimsmPHDqxduxbFxcUi5BOLxWCxWNC3b1+0a9cOGo0GRUVFyMnJEd4bAGLyAhAbSVZWFgoKCgAA7du3R15enlA03bp1Q2VlJTweT9xSVIkgsgdTBt9Ay/FtzYN+NIv6fuTX6sgP57JcLo5zyG63o2PHjujcuXNcvql6LfB36urqYLFYFF4nhiF5frvdjmg0irVr16JLly7IysrC999/j0gkggEDBohW9+FwGFlZWejZsydisRgyMjJaLUHG47k+5OvU6/XIy8sTPFNucvGehwy0ACA7O1txDH+/tSpIx9p8OhhpbeNWrzE1vYXHtCU41+v18Pv9wsOt0Wiwbt06GAwGlJaWwmw2C+CXlJSE1NRUNDY2YtOmTdi7d6+47mg0ipSUFJSVlcFqtYqcDN4/9QwbbEWjUeEFp1ddprVQf5Iaw9yGoqIi9OvXDwCwZMmSA86veHtWvGd5MLzX1gC3LGoay/6u7WB+j+3ReY1+vx8rVqxAly5dkJubq/gNAt0dO3agsrJSzJtAIIB169YhPz8fVqsVPXv2VPyO2WzGjz/+iO7duwuPNceFUWOOl1w7mwCan3GcZfDHpmkcP7mxGOdUKBRCXl6ecHJQZB3EPZVOt7y8PHTq1EkYjPLxfr9f5Bl4vV5RupVjo+Bqa5Vjs78xai3Kcjiwjfx78XAF6Y0cH/W8UO9PMlDlc2XUzGg0QqPRoKKiAmvXroXf78fVV1+N/v37AwD69OkjohhFRUViDJ1Op6BRqp0OlMOt/9X6kzpWXWr1YCXhqrIkulitVuF5BCD4rfX19Zg2bRrcbjei0ahigRNEaLVa0aVQ5s7RqyCDcwCor68Xm1hSUhIaGxsRjUbh9/uRmZmJdu3aicSaE3L0ilrpUomZzWYEg0E0NjaKhe7xeOD1esV3ZKUdiUTgcrlQW1sLr9cLp9MpNjyel3MvIyNDcLSfe+45nHvuuRg/fjyWL1+OKVOmKMCQyWSC3+9vcS4AAtAAzaFweshocNJbH4vF4HQ6BYfc7/eLlsXxjAuZD11XV6d4ZvSu+f3+E/M/wYX6TPZSAk1AzW63w+v1KjZ10prC4bAid8Lj8YjX9fX1iEajqKysVGzK7DYci8VgMpkEGKfnkvQr8ovptaOH3ePxwG634/bbb8eHH36IZ555BiUlJaiurj7sz62tRV7LMoWNgCI9PV3RETgQCCiidLJRrNPpYDQaFTkoBNpykmUsFkNKSgpSUlLg8Xig0+lgNpthNpsFJYQJhBxLACL3hJ5al8sl5gjHkN8DIIA/AEH/jEaj2Lt3r5hj1Dt8Dj6fD/v27UNDQ4NIbGcjHABobGwUSYz0jjudTtH1Ui6Xx0Y5amAm5/UkmshrkJhEFr1eL/Q416ycKB0MBsUzp37mOZxOp8I55PF4BBZavXo1xo4di+rqakyfPh2XX345gKb5xiIGsg6RwT73MxpIlKO9wVbiuVoTXEKhEMxmMzZv3ow//elPcLvdeP/991FfX4/x48cLLwCpLbFYDHv27BFhVY/HIxQWOWicoJzIas8yJyNpB7FYDPX19YIuICd6nZCjW+RNo7GxUSh4ji+jJoFAQLQ0NhqNYk4ZDAZYLBZRrcRgMCAQCCi8QBqNBvX19Rg3bhz+8Y9/4PHHH8c111wjkqTWr1+Pm266SfC6o9EoPv/8c0Eb4dx1u91iY5XpNRdccAGef/55dO7cGW63G3a7HX6/H8FgEElJSSJcTeOU98NN2WazKQxfvV7fnOAjSSwWg9VqTciI0QlpFm6sOp0OeXl58Pl8cLvdqKqqQiwWg81mA9DcdXDUqFF4/fXX8cQTT+CLL74Q56H3jNVbtFot2rdvD41GI8CRXq8Xnjh6/RiWZ76CDJzk0LvNZhPXmpycDKvVit27dwNAi86Dx4K+la/fYDAgLS1NcMULCwuxfv16RUSCVTSeeOIJJCcni9wTOgAcDocoVEDwSUqJ0WjE0KFDUVtbi7S0NPh8PiQnJyuiGsnJycJIolEuJ6QTXPN/2TkhA2ACNpnC5Ha7hf7h971eL1wuFxwOBywWC4xGI9q3by/ul8Ybc3lSUlKEo40RIM5dOWpAHrpcZYsie/wTDZwTZ9BZyOdHIbfb6XTCarUqcqPcbjeA5l4J3MfC4TCcTqeg+3CdyQZPbW0tNmzYgJNOOgnJyclirdHhw0pApFo5HA4FFYaREllIxTxa5cSOdojChen3+8XGQs81Q6FJSUmKrnEmkwlGo1FY7hROKpkXR68CaTAA8NVXXwlvAMNHN998MzIzMwFAcY4TcuxIRkaG2HxCoRCMRqMoMUaQLocf6SWQw8P0/DAkHI1GsXDhQnz++edwu92466670L9/f1ElIRaLoXPnzvjzn/+MnTt3Yvv27fjoo4/QqVMnDBkyBBaLBR6PBx6PR/DdqZQJgHr16gWLxaJQ7lqttgX1gKCbQuUqh+fpKYnXOTAYDMYF7CcksYQeWc5HejdTU1MFGFi4cCEWLFggoin3338/Lr30UjH+5J8DTXQDh8OBxsZGvPvuu9i6dSsGDBiAIUOGCHBWV1eHpKQkRcUjfp+v5ao+AAS/muF2Vn3R6XQKzzHPcbSL7MmVqSTcY1JSUhCJRLBmzRr85z//QWNjo9Ar1113nYhGMDGX1UsAYNu2bfjkk0+wfft2JCUlYdSoUTjrrLNEkjg9nLLeAqAw1uUxow5k1RbuowS4su4gaFdTKFJSUpCZmYnvv/8eH3zwAWpqapCfn4+//OUvsFqtwljgnCPwTk5Oxrp16/D++++juroa7dq1w+TJkwXwa2hoQDgcFvs893Dm6MhzRU5ITTShIUVArPY60+AgS6CyshJvvvkmamtrRXSBnvJIJIJgMIhzzjkHZ511lsA2PIYGyrRp01BVVYWxY8fijDPOUABseuA5xox6qavyxaMynvCYH4dCyy8zM1OE2Ljx7NmzR2SwU3lQkRC0A00KSPaUAxC8c24a/Hvp0qX4/vvvxXtdunTBiy++iHPPPVcB5hNxsZ+QQxd6+kjV2L17N7p06SLGn0CHik4O3wJN3q89e/bA7XYLLxQAEcJfuHAh3njjDdx3330YN26c+N1AICAoWDfddBNMJpNIMO7WrRseeOABOBwO7Nu3TwCrpKSkpiQhQHjRuLHTQwUAdrsdqamp8Hg82L59O7KyssT6kDm1TO4h9YvrS65dLR/Lv+Vnd0ISS2Sg5HK5RI4DN9tgMIhly5bhr3/9K7xeL6ZMmYIHH3wQQJOx53K5hM7luRobG7Fq1Sq8+OKLWL9+PQDgwgsvFKHt+vp6oVdZCpQ1yjlHaEgmJycjFovB5/MhFAqJ3AyCi2MBhLcm8rPgsyUthZ/98MMPeOONN1BZWQkAuPfee1FaWgqXyyWSuwniq6urkZ2djZqaGsycORMbNmwA0AReGfGVow0E29Rh/G2+T2+1wWCA2+0WFBU5Sqiu4hKJRNDQ0CAiLDS8GEl8//33MX36dBgMBuTl5WHgwIHIyspSJIPy3sPhMBoaGrB48WJMmzYNgUAADocDkydPFrSNxsZG4fRgVFE2UmQhPSsRRdbDgqMvqVPmJ1ksFoRCIaxZswYzZ87EL7/8goKCAgQCAQXly2g0IicnBxdccAGA5lrmcg7S888/j969e+Of//wnrFarglpWX18vIh8yw0BOYue4qznmR/uaPQHMD1EIAoxGI/R6PXy+pqL7PXv2xOWXXy4m2g033KDgmDNrXM2HlEEFJy3BF4H72WefjQsvvBBut1ssmtmzZ2Pjxo246667EjY0dkIOXuTxY6jdZDJh/fr1mDp1Kj766CMByOVavpxX3ATo9SsvL0dtbS2Ki4sV4fpIJILzzjsPaWlpiiYs//rXv/D111+LUG9aWhoikQi2bt0Kn8+HH374AY8++qhIwCFFplOnThg0aBC6dOkCAEKRqr0YBoMBPp8Pn3/+OaqrqwWo53rgNVLJEnhz/SxevBj4q/KZMQmJz+zE/E9M4Vwg+KXRKW/QF110kaBclZeX4//9v/+HP/7xj+jduzfS0tKwb98+wQPfunUr/vKXv6BHjx4YMmQILr/8clRWVmLEiBG49tprcf755yM9PV1QA+V1xU2fHFqz2SwiRfJncp8FdcMhoDm6eTSLen0yn4nNhJjc2Lt3b9x+++3weDwwmUxoaGjA/PnzcdFFFwGAoCTodDpkZWUhEomgoKAAN910E+rr62E2m/HII49gwIABGDZsmCLq/N577+Grr74SOoOOKtL5GOkLh8O46qqrMHDgQMybNw///ve/Fa3jAWWlHEZnBg0ahCuuuAJ2ux1VVVV49tlnMXz4cIwbNw5WqxUulwtvv/02unbtKhLMZUfXnDlzBJXujjvunvuyJwAAIABJREFUEBTVO+64AyNHjkRxcTEcDofCEce5xOuXvcCJTK+gUcvoSSQSaYEQGaWdMWMG1q5di6uvvlpER7VaLf7zn/9g5cqVKCoqwrXXXouzz27qCuf1egV9zOfzCa/5nj17UFtb28LRotFoYLfbxZqXcZNcS54VYY413X8CmB+iEAykpKQIntovv/yC4uJitGvXDmPHjsXQoUNx2WWXweFwiM2I1j9BlZxpzlJCnLTk0tFbcPHFF2PMmDFi4q5btw7XX389vvzySwHMj3YL8XiWeFnbOp0Ofr9feGuYte7z+QRgpbKSNySgmZtH/i7nh9PpRGpqKs477zycd955it+bNWsW5s6dC6PRCLvdDrfbLTxZJpMJlZWVeOmllwSvm/kSRqMRubm5KC4uFolQ5AlqtVrROZQl0Wpra1FdXQ2TySTWhXwP3Gh5b+S10isvi7yOEnnDOyFNwg1UTvJk5Ke0tBRlZU2dNUeOHInnn38eqamp6N27N4Amfnl5eTkKCwtRWVmJ+fPnw2w2Y8aMGejUqROmTJmC8ePHi3PR8FMbvOpqWJw3fr9fGHf0xBF4yx39KEc7KAea9U40GhUUDDqTSFmIRCLo1asXevXqJb731FNP4cMPP0SvXr3Qrl078QwZKdNoNCgoKMC9994rDB2TyYSamhr84Q9/ED0/otEoli5divfeew/Jyckiisy8GUYtvF4votEoTj31VCQlJWHdunV47733FCURmcMge8idTicyMzMxfPhwZGVlwW63Y9euXSgsLMTdd98NoInyNGjQIGzcuBH5+fmK+tjZ2dmorq7GBx98gNtuuw2jR49GWloaAoEA0tPT0a1bNxQUFMBms7WIXFM/U7/hV2wul6BNJDApz3k5EiELgXU4HMaMGTOQkpKCuXPnIi8vD8FgECaTCTqdDsuXL8eQIUMwfvx4ABAVfxjBIrvAZDIhJydH5CbIe1UsFhMsA3rMgeY5S0ocaZvq9Zhoz/dQJaGAucwLU78PtKwTeSQevMzvDQQC2L59OyZOnIj3338f27ZtE14ggicAwjoUixRokfzC8ByVCj09cjIM77mkpAQPP/ww1q5diyeffFJw5BIJnMuJOXxNkcc33ufHm8jPCYAAvS6XCzabDXfffTfatWunSMwh5zKepwEAfvnlF/zzn/9EbW1tC6XF+UbPNDuIxmIxDB8+HBdccIFI7Fy4cCE+/vhj4QFjNz+/348XXngBP/30k+AFsyoDAb3Mr/T5fPB6vTjttNNw0003QaPRiCob3KRpjKo7AiYlJeGDDz7A1/ha3AMNXpk+01r4+IS0FFmnqudfWwhLJdIbCzRTAv1+v6hnr9frcf3116OgoAAbN27EiBEjcMstt6BPnz7Izc3Ffffdh2HDhiESiaCwsFCU3rzkkktgs9mwbt06jB07Fq+++qr4bZ5XTkpjoh69mfRsUneTYy6X3TuSIo+TbEDEGzf1sa0JP6PRThAkA1632y14+tQ1Q4YMwfTp0zFhwgRcdtllOP/888XzZTEDJmsSoE6fPh2bNm3C6NGjMXToUFxyySXQ6XS4+uqrUVxcrOgNIhvm9Jjq9Xr0798f0WgU559/vtARcklC6kZ65EOhEEpLSxEKhdC3b19MnToVTqcTAwcOBNAE7lJTU/HII4/gnXfewdKlS3HjjTeisLAQANC9e3c8/fTTMBqN6Nu3r0iO1el0eOSRR7By5UqUl5fj5ptvRrdu3cT1cp5zbEKhkADmspG4Pzkca1IWrVYr8IlcilB9TfycBS3ogFEbZzLWYYEAYhm73Y4tW7bgpZdewtixY9G1a1dRgpfH0FAk+KYHn/x1OcFYOGgkNMtxOlyixq38fTpiDzWim1DA/EAiT+rWbrKtAbtOp8PEiROxatUq3HzzzejUqZPgwS5cuBBLlixBMBgUNU+BJn4tk9W4YJlEI08gTjCGEal4yGXjhNTr9Rg2bBgKCwtxww034Nprrz2qkuCOZxB+MMJxZ93d66+/HsXFxeJzmaMZj18di8WwYsUKfPLJJ6JiAgDYbDZRNYGbJsXn8yEtLQ133HEH+vXrJ3je+fn5+Pzzz9GjRw/cf//9it9eu3Yttm/fLpQwQQ49XwBaNHc57bTTMGLEiLgbjxp0yNdXVVWlAOYEUoFAQIS+4wGoo91zcihysJu57NiQdWpbAQECFeo2lsFjRQuz2SyAlF6vx6mnnoq+ffvi8ssvx4cffogzzjgDvXr1gs1mUySEElDGYjH07NkTxcXFGDNmDF5++WXMnDkTAISRSJogk6dZyYHNiWgwyN50VvqI5zE/HCKv50P5/GDBnzwHCLBIweB8kCuhMKela9euMJlMeP7555Gfn4+LL75YPCeeh4YYDe0RI0bg6aefxowZM2A0GoVxNXDgQJx//vktrglQ6jnSQjweD8rKytCnT58D3p/MRS4qKhJ0O/nzWCyGQYMGYdSoUfj2229x6aWXinsvLi5G165dFcUZmAR8xx134JJLLsHs2bMxcOBAdOvWTcxfmRal5pP7/f4DUi+OhLOKyaqsrBWvKgsAUYln5cqVWLZsGW677Tbs3LlTeMPLysowZ84cFBcXi4gYE4RlI7e+vh4vvfQS1q5di86dOwOAovwmdQSjJyynSScME20BqQzrEUazrelQGpuHol8TCpi3Zv3zfzmc0dqkPRyTec6cOVi/fj1Gjx6NAQMGAIBIBv3xxx+h0WiwbNkylJSUwG63w+fziYVKgMKOVUBzd0QuCNIHOBEJ3AnSw+GwyB5PTk4WXdMSTeJNRnk8gebEMH52vIAotcj3TU+zwWCA1+sV84SbHbPiZcOOIUgKqR9yeTA5sVIGzEDTHAwGg9iyZQsKCgpQW1uLdu3aYceOHQAAl8uFlStXomPHjnC73aivr8euXbuE513mh8teK85n8hfJdedcZiiS4XO5SQfPK/OEZeH6UHtHjud5RJF5+gc6TnYMtIXIfG15TLds2QKj0YiCggIBatghVu73QNDs8/lQXV0Ng8GA7OxsQYViCJzeXvneqCMBKM5Pb1wwGBSbvpyLwd9m4yP5vECzF/5wSmseckAJ5n7L/Cfth/fJet75+fkiCkaAQTqGuvRfLBZDeXk50tLSRJWTWCwmohDUSQT7nJvy3sj8FRpJ1CEGg0EUWVDnasl5XBw3Pi/qJafTiT179sBqtSInJ0dcC4EgExplPep0OhGNRsX8ohEjG4RyeWM530XWufIalK9bTopWj5d672xrfdaao0RO/mSJQ6PRiKKiImzfvh27d+/GTz/9BJvNBrfbjcsuuwwXXXSR8JrLY87z79u3Dzt27EDXrl2FIcM1x9KIXJOyx5nGH5Oyo9Gowphuce1HQNT4BvhtY5dQwBxoOSHVwJyfydSOw70JGwwGpKSkiBbR5NH16dMHL730Ej799FOMGzcOgwcPxujRo4VCoTeB90IrksrHaDTC6/WKDYabBCcrOZIEVSaTCY2NjQkJylsTNXetNU/nCWma46yqQkDNjYAKi6CWwnnCZEs275BpIQTL8jqzWq1wu9149NFHMX36dITDYaSnp6OmpgZ+vx9Lly7Fn/70J0Wi3Nq1awFA0W2vNQBtMBjEdTACROOC60Gm6XBOc+3zO/GeUWsew+NN1KHUAwE0dUWLthS56gY343vuuQc9evTAww8/DJvNhpqaGpjNZphMJlF+LRwOi0ou5eXleO6556DRaDB27FjRkVHuwCh7WwEIBwbpGTRuGWGUjUX5+5zLgUCgBQ2R93E4hGMq73/xomUAWoDVg6FLyOfh+jMYDCgvL8fEiRMxadIkdOrUCW63G3q9HikpKeI7oVBINDsDmrygY8eOxT333IPTTjtN0Bd47UyOrKurQ319PdLT0+FyuYQxznkhA1u5fDBzVxQdNdGyrCIAQVPi/P7www/x5ptv4pprrsH1118Pr9cr7icWi6GmpkYASYLAb7/9FitWrMCYMWNgtVqh0WhEwigpdMFgEHv27AHQtB/X1dWJ6mty0jOF3nJ1qeTWxkWmBB4OvcZkyni/xyhTLBbD9ddfD5/Ph4cffhhFRUWora1FJBJBWVmZIvIie8D1ej1++eUXPPnkk6iqqsI999yDdu3aiUiabPRxD2OJRrkiE0G7XB7Y7/cDJuV9HAk5UHTrYCXhgHlrovaYH0mLyGw2C04VgUEwGITdbkdpaSnWrl2LBQsWIDs7WygUrVYLl8slvAOxWEx4FoGmkktbtmxB586dkZyc3ELZcGDNZjPcbjd27dqFdevWoX///gLgJyJAP5DXXPaMUo5HYCWDKD4TuSqB7J1jqJmgQu62Rq8kFSw3Ox7Lhjzc5HleAhuPxyM26H379sHr9QrOKEGN1+tFMBhEp06d0LFjR3Tq1AkAWiRj0Vsfi8UEsOFcpsKWK7NwM+D9yZ7ceN5J2dt+wsBrEvXaUoPzeK8PZ4SBYEuj0eCLL74QXRYBiOoONTU1WLduHcxmM/r37y/6Nfh8PsyePRspKSkYNWqUAF/hcBi1tbXYtGkTQqEQTjvtNGEoOp1O7Nq1Cy6XC1qtFp07d1bQUwjcuSYYgeG8YpL/kZhbsu5syz1P1jsEix6PB59++immTZsmohl8Jvv27UM0GkWfPn0EPYQOpFmzZuHWW29t0RV0zZo1qKurQ79+/XDSSSeJxFJGymSdQA8qiyLIxhzpNLKnGkALzzT1Cvfn9evXY/78+SgpKcGtt94Kn88Hu92OQCCAPXv2oFevXkhOThYlHWkIrly5UvDZWbzBYrHg448/RseOHZGRkSH2eeozGUiLtvU65ZgezFjKY384RH1tWq2yXKJsCNXV1YnIPSlpALB161YEg0F07NgRmZmZYiy5xsPhMD777DMAwIQJE4Sxxqi/jHUY/SAVjs9Xptjs3bsXDQ0NaN++fds9mEMU+R5+69glPDCP5xE7kkJg7fF4RLMEOcRFJcOFqdE0dS+z2+0wm80iFEevOMHHqlWr8Mwzz+Dtt98W56SQl0nl5fF4cM8996CiogJz585FTk7O4X8Qv1HU3t0TtIOWIofUaQjK4T6WNotGowrgTE8NPdFUZuTRhkIh4Zkg6Oe82rlzJwBg9OjRGDx4sNhYZ8+ejcmTJ6N3796YMmUKMjMz0dDQgKSkJASDQVitVhQWFiqMB5ZPY0IzN1OC/ngNNuRQJb1z5PnG4zvyGcketSMRPUs0Ua8pPhM1+OJnakDTViIn5MngPBqNikZDVqsVADBp0iS8+eabGDFiBJ544gkUFBQIA5Q5BQ6HQ4ByvV6P9957DzNmzMCAAQPwwgsvAGiubDRt2jR8/fXXMJlM+PTTT1FYWCiqZMm5FtTZNHAJ3FNTU1s0GDqcEm9M5c8o8jgezDpQ6156cRlZoOczKSkJKSkp4ti33noLoVAI7777rgBfdCBwrlEXUMdcf/316N69OyZOnIiSkhJR95xcYVb7YElGJiDK85NGA3UYRW048bXL5YLFYhGGO4swRKNRkchZV1eHu+66C1dddRUGDRqE9PR0AfxZIYaeW16Tx+PBmDFj8H//938YMmQICgsLRXSFFat4HXI0h8+Yz0WmcbY2nvJaPRwidy1NSkoCJLVLp0lycjJee+01zJs3D0888QQqKipgtVrh8XhQW1sLi8WCRx55BLfccot4Xpw/pKvQGOb98RnJCddOp1OUDeZckPcBv9+P1atXY968eU0VYJp7Nx4RYzre/tPaWj2QJDwwV4NceaK2xs1qy0lcUVGB8vJy+P1+zJkzB2azGZ07d0ZKSgpqamrwyy+/YNGiRYjFmvh2S5YsQX19PbZv3y4aaaSnpyMlJUWEu/x+P+bOnYtPP/1UhE3nzZuHdevWwWAw4Oeff8bXX3+NQCAAi8WCqqoqOJ1OdOnSBfn5+YJacDSUjON4Hso4HY/gnd47tqqWPUpAc3lAAl+CV35ORcd8BaCZAwlAAF+g6fmec845KCgowJAhQ3DyySeL43bt2gW73Y7MzEycccYZCqoA//75559RVVWFAQMGiLnIa5V5pDQG1ABCDYzYIVc+rrVoEA0Wdbj3eJwz8Tb1/W1OclSC32+LZ0aDUM6J0Gq1GDp0KCwWCz744APk5+dj37590Ol02Lp1KzIzM1FWVqZI2LPZbLjsssvg9XrxzTffoH379vB4PNDr9di6dSscDgdOPfVUlJWVibnOGvwVFRXCIJX1DwEkr02v18PtdmPDhg3Ys2cPysvLUV9fD5fLpbgnhubbStSecoLf/R37W8eOTgB5HaWnp2PIkCH45ptv0KFDB/GcfT4fNm7ciL59+6KoqEicIxJp6jB84YUXYvPmzdBqtYIuAjRRinr06IH+/fsLfeTz+Vp4QDkm8eatmr7Kv9X7CelNsj7s1asXzj33XGg0GnzzzTfweDyie6XL5cL5558v6pjzmXbq1Anr16/HvHnzYDab0dDQgNTUVDQ0NKCwsBD9+vVDaWmp4hlyzdHDzmcj3x91lqzPZZHHc3/Rrt9TZEobr1c2KIDmUo+hUAiNjY0CpLNxU1ZWlihduG3bNixYsAAnn3wysrOz0dDQgMrKSqxevRpnnHEG7Ha7qCQXDocVHvOkpCRs27YNS5Yswc8//wyv14vvvvtO0M+YxB0MBvHee++JvBNZjgR7QO3tl98/VEkYYM4FRlqDzJGUG1Hw2NYmbVtvxu+88w5OPvlk9OjRA0uWLEFNTQ3uvPNO9O7dG5s2bcJzzz0Hp9OJyy+/HBqNBuPGjYNer0dqaiqGDh2KPXv24O9//7sIk4bDYXi9XoTDYQwZMgQajQbz58/H9OnTodFocO2116K+vh5PPfUUgCYe3ymnnIKZM2eia9eu8Hq9io6iiSb0bMo8Mtm7StqEmjd5vAErtRfTYDAgOTkZ9fX1mDVrFoqKiuD3+0XIXfY2UNnLfMRNmzahqqoKJSUlwoNtNptRV1cHq9WKpKQkLF++HBs3boROp8Mpp5yC008/HZs2bcLq1asBNCnm5cuXIxAIYOvWrZg+fTrS0tKE0mN98ylTpmDPnj1YuHAhevXqhf/P3peHR1le7d8zk8xk9uyEAAFEUNlkEZClgiju9hJRKWqrrW1/Vay4Vet+ad1prVqt9dN+dUHrpSho1X5WcQEBEVCkCLITAglknUxm357fH+F+ct43EwRlCcjJlSuTmXfe5VnOep9zvF5vu46JXq8Xdrsd//3vf/Hiiy/C4XBoPKcUCITDSI+40+nE4sWLDeNlsVh0N0BZj9rMB35Iawgw4oXNHhqZtwIYk8+A/TdWVOiooAOtyvobb7yBJUuW4N5778WGDRvQpUsXKKVwxx134JRTTtFrgh62AQMGYNasWVi/fj0effRRLF26FE6nE2VlZTjvvPPw6KOP6mtS0fB4PDj33HPRpUsXJJNJnQhKjDDLNTJkTmjLBx98gHfffRcOhwPdu3dvjSqhUp8/FAohPz9/v4wX0L50sNmgzQYF3Nt1z4hFJpPRSjIV6n79+uGFF17Az372M3zxxRfw+/16L/6///f/MHnyZA05I5SuS5cuePHFF/GHP/wBf//73+FyubRjYf78+Rq2wHEnRAFoM4xokJsjF/Ked/eaYxIOh1FQUKALL/zsZz/D1KlTMXfuXNxwww0axnL88cfjL3/5C7p3727Al1MeO51OPPnkk9i+fbv2+vbr1w/vvfee9nozCkRPL2E4zBGSBpxUxjuaT44N16TE3u8PojERiURgs9l0RTlzwrOMYIwaNQpdunTBRx99hJ49ewJo23PpdBo333wzJk2ahDvvvBN33XUXGhsbcd5556GmpgbvvPMOxo8fr7tMp9NphEIhreArpfDhhx9i7ty5KC4uxjnnnIOvv/4aS5cuNeRU2e12JBIJnH322e30nwOhP8jINvef2aiUhtreGAudRjEH2h5Chq8I/Jf4o2/zlu9z6Iu4zJVXXmnYNFQyA4EAxowZg379+hkwiyx719LSYrAwSfRSMGSfSqUwevRo3UCBhfmZAMjjysvLoZQyQAVycnL0vR5s+A/nQQoUCgE5n1y0cu7MXs+D/Sz7jcS64rPKRODy8nKsWrUKd955JwoKCgx1Xrmu5NhKpYwwF1Y44PqggE0mk3jzzTfx8MMPI51Oa2wlBSQAXRUmkUjgq6++wq233qob/rCElVKtiVMAcMcdd2DmzJkYOXKkTrxisnJ+fj48Hg/mzZuHRYsW6aoNgLFmPyE40ttEBVwSx4vRBLORoof4cF4/WWhPQ6dSmftOIV/T2v22e2JyH0Pl5J+DBw/G448/blDK2PGPvEIqaUop9O7dG7fddptuUpJIJAw4V6CtxXx+fj5mzJiBWCyGRCKBkpISvSapiFIZp2Lk9/tx2WWXYerUqXodp9Np9ERPfX5W6tjXZOaBeyLjpFInlb6saz+LrmK1WuF2u3UpOo53JpPBXXfdhVQqBa/Xq+EN9Jza7XadmOt2u5HJtLakv+mmm3DttdfqeyFkhfyAUAkquoR8KKW0l5Z4bqnY7AmsleNQVFSkFW3KW4fDgYkTJ+KEE06A3+/XGPbS0lIDBjo3N1cnqo8ZM0Z3T2YFNI5PNBrV95ibm6vL97F6ic3W2ljJDLORinq2yIh0tMh1ub+I584GCYLQJSVyobi4WM85Scp84vVpjKVSKfj9fjQ1NWljiQnedrsdhYWFWr9Jp9OYNGkSRo0ahYKCAn0O8g2uGfKSgoKCdkrv/oJAS91Ejon8TH5OmW3Oo/s26jSKOReg2+1uF9oyh6mzUUeW9L6moqIiQ7IaAM307XY7ysvLO0zEpEXNBczNK4/lex0JS1n5QjbIMFuMB9NTKBctm1ZID6/8HDAqT9kW+YGIhBxsMkeBwuGwxnJPnDhRe/zoiaG3gCSZq81mQ2NjI+bPn4+WlhZDcxWZUDls2DCceeaZ+M9//oNjjz0Wffr00ZATzhcFciaTQXNzs4ZfSYxkQUEB6urqMHfuXB3y57UoVILBIJLJJCoqKjB8+HB4vV5DjWkZLWMZRBoUdrsdn332mcFjKRUQCavJtk4O97VDyqawyTUlcftmWIA8x3e57p6QFJaMlDkcDu1x47lopFHIy7llFZDy8nL9HalQcA2xegQAFBYW6mMl/6TxKqtoAK1eTQlr4LHmZ9lfJJ+Xe0h60KUxxb1oLpe6J55z6WWXiX0SwsAa00BbxIX70mq1Gsrg2Ww2hEIhlJSU6HPKeQFgkAVyv8uSwEDb2jWX8tzTSADQluvC51FKoaSkBCUlJYbn5/0THsG1SYWbTazkfdE5wbwyuU7N0WBJ2WR7tj1qXvd7+uzfhXhec1fS3a3xq666Cjt27MBrr70Gv9+vc+eIy0+lUrj88stx4oknauP3wgsvRCgU0hEoi6UtWZZGNu+nvLwcPXv2bLeOAGTdD+Y65vuznKm8rpw7s7OYDjTqZuYIxO6o0yjmSrVWiJDlkGiNdhSWMCu6B0IAUwFPpVJoamqC1WqFz+dDbm4uwuGwLuUDtOHOuEHlJiXT4XuJREJnivPZ+BlfMxScyWTQ0tLSzsNwoOvqdkRyYzN5xiwAgPbKd0dz/UNRrIA2gR+JRBAKhdC3b1/cf//9GDx4sKFmOD065jJv/Hzp0qVYv369xqoDxqoLSilMmTIFJ510Eq655hqceeaZ+NnPfoaWlhYEg0G43W6Dp4LrjkIpkUhoBb6oqAhbtmzBwoUL0dDQYMCY03tUX1+PTCaD8847Dw899JAuDUoPlSzhSK8SYQyFhYW46aabMBMzDWMl9/8PaY3sjqSXkmtDKj30FH9nT/l3IK5JqWzToOI9U0Gj4szIkEzYo/eJkUKu5ZaWFjgcDuTl5SGZTCIejxsgBHLdcywkjIXl+iSEin87gggeyOQy8kbOp8zJYEIi98DeeAnldxKJhMEQ4t6ScBkAOumbY0QnmtnpQpmVSqUQCoXg8/kMTjapeNOQ4nPJdbu3YyydVhwfkoSF0LCQkW8Ahq7D0WjUoDyyhwgAQ317uUb4XBJyIZVGqQNwDOV7jEgc6D0KQJfClTpLR3TzzTfjP//5D2bMmIFvvvlGY8sTiQRyc3NxzTXX4He/+x26desGpRTKysowffp0HVXhuXm9ZDKJWCym963dbtfjYza6yQOk0mvWffZnhCGbvJHrX37OikId1VvviDqHJoe2erJbt27VNb8ZWmMozKyAS++yHJB9Pim9215u3bpVJzKRqft8Pp1tLMtAMfHOam0tPxWLxeB0OmG32xGPx7XH0Ol0wuFwIJlMYvv27cjLy4PP50MwGERdXZ0O7ebl5ekkCV6jpqZGeyFSqZS+182bN+/bMdgLIrPJZDKoqanReEyGMTm/0hMgBaIUqIc17ZqrTZs2GTxgbrcbOTk5OPnkkwG0MiR6nOPxuKFFNkPPFKD09Pj9fpx99tnw+/3IZDKor69HOBzWygbhK+l0GsOHD4ff70cwGITdbkdRURGi0SiampqQTCbhdDq1p5IKTU5OjsaQBgIBtLS04Mwzz9TJyfSktbS0wO/3o1+/fpg0aRL69eun6/o3NzdDKQWPx2OAa7GzGxlwJBLB8ccfbxi6qqoqhEIhnbFPgflDJmn8UnmiUKCXs6qqSkOLeMx3cmwInrgnvEZ6i6hk0/AzG2V0fjAiZF7rAJCfn6/xrHV1dXA6nXC73Xr9SEOVyWJSUYpEInA6nfB6vboXRF5eHqLRqE4c5JhxHaKt+S62bdu2Vx6wvSFzBJHjIpVH8siqqipD7g6P7XAuxbyxEpOENREzLcsjUpbJpjyAMWeBCjthMZTL0WhUVzAjPEU6E7jnpUOO8ycNdplzJj2U5vEiSfgHlUWr1Wowvngv1C8kfEZ66tnsz2JpbVQUiURQUlJigCnQQSAbu9FoicfjQL/W+9q6dau+Bp9LRrEaGhpQX1+vx142HdyfzgdGB6gk06mGtmABLLAYoVCnAVjT+jKBtuilcM8xAAAgAElEQVRtGmk8vOtn1xdbNU1Plgtbd/16O/gs27F7oLVu2LChXfLqviCz515izCXkiuMXi8VQXV1tgJ3uCXUaxVwqZkCbR1nizLiQpZc824bcn9T36L7fftC+omIARx24y+0rkgKQ8ye9JebwpvTySaaYLTR7OFKfo/q0f3Pkrl8AT+LJvT/pCbt+ATyIB3d/7I1Z3ttbnpYP4G/A03ja+H7prr8/bf2di7m4Gle3vpeNGXdElxj/Zdm85uZmgwcmGx3OawdoH1qlsOD72UKs0nNp3od7S0f1PshM6iCUMKZHf1+ThKQBbVAtKoES/sc5lEmSMiL5bcZW7169O/zsCHVA37MyMXUc7k9GFsx6C/UfuUf3V6URqV/J17FYDGvXrcUx/Y7ZL9fdX7Tq61Ww59m//cDvQGaooPyV75G4R/c2qttpFHMq3F27dkX37t11KIPhIirpQBvgXoaygf0ngBVUq7V4CFHv3geP6UrjilAHn89nmEfp0ZJGmJzLQ02hMgtC+b9ZeTpC34969uyJ3Nxc3Wab1TZIBwra1plICgkaxQwx0zvZ1NSE8vJyQ7KvGdd7hL6devbs2SGuG9g9L9hTMgt+8kfCHIA2eEbXrl0NSvmBhEAcoT2n8vJyQ8QBaMsTAKBLxRKHLUtY7k+SWG1i85mblEgmND9h1IHfocHA9ySMUZJEN0g9TsLM+B2iAnhORtDMOQFm73UwGGytmV7h1R1qDzRJ3QeA7g4rn3tPqNMo5kBbMo65BqmZ+P6BxJcqGBsacKECbWWE5P3xnmQVDSB7XVoZppKRA3NFEwkRATov85WYyFgshmg0Co/H860Wv3kMDzXKds9SGd8djv4I7Tklkm2lGN1ut4bYUJAAxuz5H8pYy+eUOGQS+Rb5Rzbvzp7Soeis2FeUSCZgyzWuM0nZlPJs7+8JZZtT87Uoh8xKQTb6Ic/bwaZYPAarzWrQX8wkoRH7BZb7LSSNAPJSYvFleUgWnTBj0YnFl+WtO1Kk+V4qlUI0GoXVakVeXh7y8vIQDod1AQCZT8JrENbJPAfC9rxe736BsOwJmb3mVMY1FG4vqNMo5pxEJlhkw1SZF+qBVkxlYguxhwA0HozJIrKFL5VyerGkh5gdGyVGUOKUuAmkMsfJlsr/d8KIHgAiLpRY1myKtznEfrhRtrnh/9LYo4BlrgXD0lQ4ARi8BmSAXF88f01Nje7U19zcrPMV5HUymQzC4bBOIGanv3Q6rWvJ1tfXa6+qvl/xV5buVKo1G9/r9ep7YRlP2fhK4irJ0HWZTwCBQACpVAolJSWGY2UidG5uLpDbJsCY8GeGuZnH+nClbDAVoK1estngp9DfG8hDh9fGngmbbCFfycs4f8TlUgZILDW9deS5UiFgR1li1oG25E7i63ltCnDzc0ciEa1wMP8llUohGAzC4/EY9pstz2bwdu5uHPdEWe6IzLxDVmgB2vYAX+8pZZs3CZPhuWw2GyKRCJRSunINeToTNjlOcu/JX84l54bPxNwx4qt5XVnrnvLzu9SopudWHk8ey0pP5LWsJCIhspKfSJ5CD6j0yMpkWJkLxyR54tuVrX1ioFlhk06//QVd2R1xX3F/yjwPyfv5nGblm88AtCV1y+ZdfJ/fYVSA8oTzH41GdSdVdknn9ehp57gzOVzWWT8YfL8jxZw63N7cT6dSzOkhNgtX83EHg6QVKxUNuWD4vrQ0+VoyL25IMnqJI5OlIiWuUIeVdmXPM8mUiXKdUfngnHbGezsQZFCY6KWyIGstYZ0gA7QlvdgAuEzHSVs0G4xOYiBLs3xu2XVe367fjqhwN5/tDUmZymvbOvi8oINjTYUxqFjIii6Sb0gm2FmjSvuKsu2tbEY70N5Dbj52f96jDJNLPsiSiRTmshKKTAYkyaZUUnEn8flklRGuh2g0qj19vBaJ16RySD5sdgZR+LMZi/QwyueVhsj3WYO7c7qYjR0ev7v57NBbLodR3q7bdJwF7fnO7rQIe5bjs52D13WI/zuCCe/JcpX3ZBF/rTDyEysMrdz1cWY+RXKY7rGj+yQ//zYNy/wsXYCVtStbPxIGzoEirmdek05FvpdNntPQ4jGy9Cg/lw4WGT1mLwvuZepZPp9PQ0DC4bCuhEevOhNV5f2a+cyB8pxL/irhOXxf5k7uKXUqxZwKJ71u0tsgJ/NgkJkBEgNFr5+5HCKPAdqsYLnApedc1numss8JpgDi80uPqQxJd0bll5smW6mgzni/+4uslsNbOTzQZIEFabSVPpMRgyPUvmQXYEwWlMrk/uanBkVwd4qKeYtIZUcqUtmgo1J5tOzmOLORazO9NldGzIHRWJT3ZDpXRrVVNgGMXsHvy5+/7btmL/UROrSJ+/NgORXkGrJarcY9nM2o6sjQAjo2cPg9s1FE/pDNoJP/Z/tutuOw55G9fUFmp8h3zYHsNIq5DK9KhTybh0f+NR+/r0kvSvNIma373VE2q9xcPkgubrk4zSTPk02YCDqQC7LdtUU40EzZQu+HA2UTwJlMxqB0pDPpdsYXE2gSiQSWLVumSwByXdPACwaDSKVS6Nu3r04OCofDAFqThnbs2IGLL74Y69at02U933//fZxzzjno1asX3nrrLXTr1g0Wi6VdebKdO3fCZrOha9euhjDqW2+9hV/84heYOHEiXnzxRTgcDkONaf2MACZOnIj77rsPo0ePRjgchsVigcfjMYSn6eVQSiEUCuHTTz/FX//6V4RCITz99NM49thjkUwmEQqFNGaQJAVEIpHQ5UOpmGfLOemsRuv+oI54pVTUzWOxP4X/DwnLbLVYEUlEtOdQNkvhHv8uAtrsDZfrWf7d2zWuYOwyScgK6y6T/xAmxJKBJAmjYeI+e3Gw/CmfW35HwmTIf+i04h6W0WkZiZZj8m3PK+9d1iYHoKMhjEjzXiKRiK5/znra/N9crz2RSGhexiiKLO1IknXSJSogG4/ifjkYBpZcW5JvHA5OJQss+10XMvNes+zOdszuqNMo5mZlPNvm68hj/kMRvIcSSQ/dD4Wyhfiyrdd4PK4VV5fLpbGaGzZswBVXXGFQNtkeuqCgANXV1YhGo7j00ktx5513aggTa4ZL4UM86I4dO5DJZFBWVobc3FytMBBfyYjGww8/jLVr1+L222/H2LFjAbQJX8IHKEjNDcAowB599FH069fPANMi/pz3JIXSww8/jI8++giXXXYZJk+ejNLSUo0VLCgo0GOYbWzNEbWDgcfsTGRW4Do6Rv7uDiaxLymdSRuw4Qx9syEb6/Lz3s2YYADacOUxUlHKZgwHg0Hk5eXpvcVnZpdmALp/BIB2XXSprMl7kbAUQhMd9jbvDCvg5ObmaoVOQqz2WnneQ1knQ+nfZU7Jp6WizPyT/Pz8duVrebzMAeHzy3rx3JdU/GVUWRor7EPA8xLu9H32dCaT0U2AZEUMmV9gtVoN8888BRomQFuuAvNtZLMu2fiKz7s7mbenUQ0pN/an0/HbqJ08M+VEEfbF/UgDhDATOnjYt4XvcU8mEgm992UO2oMPPoj8/Hz85je/AdBWsU8mxMo1LuEwlIFKKTjzOnKp71/aF/PXaRTzbN4dUjZP0MHwhCVTST3x6XQaK1asQHV1Ndxut6HzVXl5OXr37g2bzYYtW7Zgy5YtGiNO7+GoUaO095FJo3l5eTr5iZvearXi66+/xvr16+Hz+RCLxZCfn4++ffuiqKgIANpZ4IeSp+pwMqrkmpQeIElmLxPQ1lnTarXC6/Vqj3ZeXh5qa2uxbt06jBs3TnfPY5IlAEN+gSxVpVRrkk63bt0wbdo09O7dG4WFhbBYLO2Si5RS+Oyzz7Bs2TL88pe/1PuNyXY2mw2bN2/GvHnz4PF4UFNTA4/HY+gC6Ha7cdJJJ8FiaW2yQUEfjUZht9tRXV2N9evXayGZn5+Pt99+GytXrsSkSZNQV1eHtWvXIhgMGto003CIx+PAmW3jaE4oZWlA8zwcTutrdyQNFbOCls2oyfZ6f/FUczSDCp3X68XOnTuxadMmLeDZcMblcmHQoEEoLS01CGK73Y76+nosWbIEiUQCDocDdrtdwwmPOeYY9OzZUyeTZTOWafDKZFK+z+9xf82dOxdut9sAV0yn0zj11FMN+UAAtKLBdUslZV8oV9meg+9n86Dv7Tn5bBwDKtjz5883NO8KhUKw2+0YOHAgKioqtOFBxZoKb2NjI9atW4edO3fC7/djxIgRhmRR4oCZdCmxyxLyma3z6u6ej+Mi+QF5ndVqxbZt27BixQpkMhktb1taWjBhwgR4PB7Nr+mMoOK+bt06bN68Gc3NzfB6vTjnnHMAGHt2cO3IxHa5DyU8ZXd7zex0OFDw3e9izEkeI6Mh0liRyaByTigLuH4aGxuxYcMGNDY2oqGhAQsWLNCNHKPRKEaPHo3i4uJ2ycEyj4RGXjKZ3PteHN+DzPMksfkdOeh2R51GMT8UiMzaZrOhpqYGjz32GN5880243W44HA6Ew2H4/X5ccskluP7661FcXIyXXnoJjz/+OKxWK8rKyrB161b06tULq1atAtBW0YU4dDLzaDSqazPPnTsX999/P/Lz8xEMBjFy5Ej8+c9/Rmlptuy+I3SwKBtjy/aeVCboHcrJycFxxx2Hf/zjH9pbV1BQgPfeew+33HILfv/732PAgAFIJpMoKirSa1EyR3aVZUg1NzcXEydOxHHHHQePxwOPx4NoNKqT6djdkJARj8ejPVUUZkzOW7p0KaZPn64VYYa+lVKoq6vDoEGDsHLlSsRiMQSDQd1VlAJxwYIFuO+++7Bjxw7dEKiqqgoA8Nhjj+GZZ54BgHYefxqpNpsNqGobQ+lBiUaj+jpmZeyHBGXprERljIoWI0UWiwVr167FNddcg7Vr18Lv9yM/Px81NTUoKyvDY489hvPOO0/DEqhsNTQ04E9/+hMWL16sPe4NDQ3wer247bbbMGPGDBQVFWkveDwe14om15I0/uhoUUrB7XZrIdrU1IQLLrgAHo8HTqcTNptNw8mqq6uRn59vSN6jV5jeQ3MZXP7tLOsxG0wGgOYJ6XQad9xxBxYtWoT8/Hzk5ubC7XZj27ZtePjhhzFjxgxduUMa8el0Gtu3b8eMGTOwYsUK2O12NDU1wWKx6LkAgNraWjgcDl3yVFbV4F7+rkYNv5dKpZBIJPR6+9e//oWbbroJTqdTJ+WFQiEsW7YMgwcP1t+JxWKIxWLo0qULAGDBggW4+eabEQ6H0a1bN62YU/lmkiI7yHKtS6Oys8z7viAa19L5xHXP11TIZbSCyqr8pTyZPXs2nn/+eZx77rmIRCI455xz4PV60aVLFzQ1NeHJJ5/EKaecouVKS0sLgNYuwDKa9V0U4c5GRxTzvaBYLIa8vDx89dVX+PLLL5HJZDBixAi9ACsrK7F161btGQSAXr164ZhjjsGKFSuwZs0a+P1+DBgwwIC1lYuILdBzcnKwYcMGLFmyBNXV1TjhhBM04/P5fJg3bx4aGxsxYcIEWCwWA473CHVekh5zeu1YUiwvLw+DBg0yeNkHDRqEnJwcDB06FGVlZQCAnTt34p///KfufsnQe21tLbZt24Z4PI53331Xe30KCwsRCoUQjUZx+umnw+12o7m5WdeWl14Lr9erve0UJOl0Gl6vF3379oXX60V1dbWhtGdJSQl69uwJoJUpUulxOp2IxWLIzc1FY2MjvvnmG9hsNgwaNAh5eXno378/cnNzEYlEtHJNw4C/9FR+8cUX7caSHipzboqkw0kYHspEw0kK80WLFuHzzz9Hz549tSHn8XjQvXt35ObmYvny5bDb7Rg5ciR8Ph927NiB//73v/jiiy9QVFSEUaNGAYA2znJzc7Ft2zbMmTMH559/vlb0WBJP5m5IKAb3jwyFr1y5El9++SVGjx6tSy6yx0Zubi7eeeedVkVucNszct1z/2TzancmxZz3Khv5USFubm7G2rVr4XQ6MXToUO3R9vl86NatGyorKzF37lwMHjwYPXr00A6CVCqFDz/8EMuWLUNBQQH69u2LgoICPPfccxg6dCiOP/54AK08hcaOLKPH+5C9Or5LhFyWXlRKYdOmTVi9ejU2btyIAQMGaLiF3W5HNBrF/PnzEY1GMWDAAA1xslqtqK6uxpIlS7BixQoMGjQIwWAQpaWlePvttzFs2DCUl5friB1hfeYyiPJZDnWFkSTnBYBBCed+koavrIPOPSfhlH6/Hzt37sTy5csxfvx4jBw5En379sVXX32F7du3o0+fPjpiLKGVXL9yH8sGXIcsmXGHB+N3+PDhasKECQqAWrlypQoGg4qUyWRUMpnUr9PptH59IAjiJxqNKqWUmjp1qho8eLB65ZVXVGNjo6qtrVXBYFA98cQTyu12q3PPPVfFYjGVSqWUUkpVVlaqM844Q+Xm5qrHHntMhcNhFQgEVCgUUqFQSDU3N6tQKKTi8bgKh8P62e666y7ldDrVnXfeqZqamlR1dbUKhUJq4cKFasiQIWrw4MEqlUq1Gwve78GkTCajUqmUWr16tdqxY4eeN6WU4XUmkzlgc7m/ST4HnyuVShnWEOc7HA7ruZNjkEwm9fuJRELNnz9flZSUqKqqKqVU69g99dRTqqioSAFQbrdb+Xw+5XK5lNPpVA6HQ+Xm5iqv16tcLpdyu92qa9euyuFwKACqsbFRKaVUKpVSqVRKxWIxpZRS48ePV06nU82bN08ppVRtba1SSqnXXntNeb1eNWnSJLVu3ToViUTUhg0b1IYNG9TGjRvV9u3bVXV1tdq6datKp9MqmUyqdDqtAoGACgaDKpFIKKWU+sMf/qAAqKlTp6p169ap+vp6VV1drTZt2qS2b9+uampqVFVVldq6das+3/bt29X27dtVXV2duuaaawzjmMlkVEtLi+YN3Gs/ZDKvJfPfaDSqPvvsM9XQ0NDuM/PrfUHZ+BDXvVJK9enTR5155plqzZo1aseOHWr58uVq3bp1KpFIqE2bNqnzzjtP9e7dW82ePVsppdTChQvVqFGj1Lhx49TSpUtVKBRSdXV1qqqqSjU3N6va2lp1/fXXqz59+ujrxeNx1dDQoBobG/XaTCQSKh6Pq1gspuLxuEqn04b1U1tbq6ZNm6YqKipULBZTjY2NqqamRlVWVqrGxkYVCoVUnz591JVXXmlYk8lkUv8GAgG9Pr8rjzPPJ9/j33Q6rTZu3KgqKyu/15yk02mVyWRULBbT/OCLL75Qw4cPV8uWLVONjY1qxYoVasOGDaq+vl6FQiH1u9/9TvXv31/NnDlTNTU1qWQyqRKJhNq8ebMaNmyY6tevn5o/f75SSqmdO3eqgoIC9etf/1o1NDQopZTmC/JZSC0tLSoYDKpIJKLvbW/HTCmlgsGg5g+PPPKIKigoUDfddJMKBoOqsbFRVVdXq/r6ehUOh9XQoUPV6NGj1RdffGG43hNPPKGcTqe66qqrVG1trYpGo2rZsmWqsLBQvfDCC4YxlGuIfFwppWKxmAqHwyoej+s1aL5nOTerVq1qNz4Hi+T6lpROp9vJcaVa91tLS4teS5FIRMViMT2PkUhEBQIBFQgEVCqV0vsvk8momTNnKgDqsssuU5lMRq1bt06dddZZKi8vTz355JP62IaGBrVz5049vpFIRMtUuT86uvd9TVLWK9UmW7mnli9frgCoCRMmqOHDh7cO67f8HvGY7yUp1ZpQt379erhcLuTn52uLkCE6YhLl/z6fT2PP2N2KYTCJE7bb7Zg5cyZmzpyJn/zkJ2hqatKdr/Lz8xEOhzF69Gh88cUXWLBgAc4++2z89a9/Re/evQ99K/EQp2xY3mwJTNx89CioXZANtSuUzu/Sq8M1k8lkEAqFMHXqVFx88cXaq0Nve1VVFS644AJs2LABdXV1iEajCAaDiMfjsNlsKCgogNPp1J4xi8WClpYWXH755bj88svx17/+FdOnT8d1112Hv//978jPz9ceLIfDga5du8LhcKBPnz7tGmDQY6GU0slShKEA0PujrKwMffr0gcViQWNjIwoKCjTEgOPH5l30iOTm5sLj8RjGkHhF4gllTgbHuKN5OUIHnjg3ktfV1dWhoqICJSUl8Pv96NKlC1paWpCbm4uysjIopbB9+3YdUcrNzUVlZSV8Ph+8Xi/cbjdcLpcByx0MBlFZWWmAURUUFOhrRiIRjR2WHsxEIoFgMAifz2foUkxPOxMbCfHYvHkz6uvrDc+Yk5NjaKhDjz2T02Qznc5AZiiCxMMDrVWg7HY73G43jj/+eAQCAT2HyWQS33zzDaLRaCukB8C2bdtwxhln4PHHH8epp56KlpYWtLS0oLS0FPX19XjiiSdw8skn47TTTsNvf/tb+P1+zfvo6XQ4HHC5XHuExd4dRSIRDZFJpVJoaGhAU1MTAMDr9ep8APLVHTt26Ofn9f72t7/h888/R2VlJUpKSjSfGTZsGBYvXoz77rsPjz76KG655RaccsopcDgcaGlp0RANnp8RF+DgVFzZH8S9k0gkEIvFNETJ5/O1y70gVMVut8Nut8PpdOrKW263Gy+88AJuvPFGnHrqqaivr0dhYSGUUujevbueH+bxAYDf79ewKK5HYssp62w2257Vu++k1Hm4xCFANpsN77//Pvr3748JEybg6KOPNnRr7N+/P2699Vb07t1bKypMfiCeVwkslLkSAT9raWlBXV2dTm4i9tycJOP1erF582YNizlCnYc6mg+Jo5TZ5sRGmxm3zWbTuQXFxcU6ORQAFi1ahIKCAhx33HHIZDLw+/06adRms2lcOZUUYmmpBC9cuBAffPABcnJyMHr0aBxzzDG44IILsGDBArz55pv45JNPsHjxYg2revDBB+F0OjWmlEo4lQ1ibPv06YPTTz8d3bt3B9CWzEWlLBaL6XAxOwCSmRIDzL2zuwZVVHqIHzWPv1QyjlDnIHOyHDvOAtBdYFlRI5PJaEXXZrOhpKQEv/rVr3Q+BNAGnVq0aBE++ugjOJ1OnQvB9Ul4FPknX1OxIBTB5XLBZrMhFouhtrYWO3fuhNPp1EnOstutxWJBMBhs93zEtXOfcx1/V0jGgSC1Cw4g+VJLSwuCwaAuFUjjn3PBqjQSa5xIJHSyJ/lRY2OjHjdChEaOHAm3263HiPtcNgrj3AHY46RJ8zMRehqLxTBhwgSEQiEMGzbM0MgvHo9j1qxZOO+889C/f39069ZNy1PmNZSUlACA7mLtdrtRUVGB6upqVFZWQimlq7YQyiFJloA8XBruUR+hsk0oi5RpMgGbnXxlw0X5eUNDAxoaGnRBCzqNlFK6uo7kBXTMcO1RpsmGj4cyHVHM94LS6TSeeuopTJkyBZdeeqlWKigcRo0ahTFjxiAajSKdTqOpqQkFBQXw+/06yc/n8xky/9UuXB4VJmaL22w2nfxJJsGkOTJSKiVHsOWdg7IJjXQ6bWiwIL0yZGAADEqoVKCpNESjUcP5M5kMXn/9dfh8Ptx11106+UgKNH6XCoHNZkM8Hkdubi6am5sxa9YszJkzB3fddReOOeYYhMNhTJ8+HSeeeCKuvPJKLFu2THsWt2/fjgceeMCASwXasIb0FiqlMGHCBAwbNkzXTOc9MAIQDAbhcrm00dDY2IhwOKw94/QsMknVXHWI46p24RQBY73YjubiCB0c4jwyUkMe5nK5UFJSonHNLS0tWjlrbGzUXkfOZffu3XHHHXdo7xyrWVmtVnz00Uf405/+hKuvvhr33HMPgNbkTRqEvL5sdpZIJHQpTxq8VOiJfc7NzTXUuuZ5fD6fjm6RYrFY1lrWTPDvbCTviYoT0Pp8oVDIUMYyEonA4XDo+ZDyiz0FcnNzdWk8jpXX69VKGL3JeXl5KCoq0nyB1VqkMZ1OpzWv+i5Gtt1uRzAY1InGEydOxIQJE9Dc3IxQKASfr7XtcU1NDZ5++mk88MADmDBhgp4/llLMZDKIxWKw2+26Ig3QuraoOPr9fh25lAn0QBv2mnXP6aA71HmTjPxwf6Z3dSK32+2IRCI6KkHFmgo69xPRBlx7Pp8PgUBA967geZ1Op66Yw/K9ubm5WSMr2Ro9Hop0RDHfC4rH4zokA7QPS9Er6XQ6DVVVyMjoLTQnLdD6k94DqYxYLBa9MKnY2Ww2hMNhDZc5oogcfJLjL5XvbMcxkmIuz9bQ0IAXXngBX331lU6I2blzJ+6++24UFhYCACZNmoSzzjoLZ599Nl599VXcfffduOyyy+D3+1FSUoJly5bhqaeewuTJk3XC6OrVq/H000/jkUcewbx58/DSSy8hmUzit7/9LcaOHWuA0QwZMgTXXXcdKisr8d///hdvvfUWevbsiSlTpsDv92vPOJWYSCSijYl0Oo2Kigp06dLFkJQsE/R4TwC0J5T7QI4h1zZDmZIoCGUbZ3oz5RyY5+UIHXiiF5wCGWhVYm+++WZUVFTA4XAYPNbvvvsu5s2bh169euH+++/HoEGDkEgkDNEmm82GFStW4LXXXkMwGEROTg5uvvlmnHXWWQBaFUmGwe12u8Ew5T0x4ZPGLO/NZrPhyiuvxPHHH4/77rsPl19+Obp16wYA2LJlC5599ln89re/xfDhw/EG3tDPSd4s1zKVCBkh6yxEHiUju7zvfv364dprr0VJSQmUUvB4PHoMP/nkEySTSTzwwAMYP368HkPuQRktpqLrcDh0NIEOh0gkYmggJklGJsyROaAtuiKVdqnc5+TkoLCwsB28raioCM899xwWLlyIdDoNt9uNk08+GSNHjmw3RyxdHA6HkZeXp8cgHo/rschmMMgytORNdDZ01qjJ3pJSrdW4/va3v2Hr1q3Iz8/X8+tyuRCNRhGPxzFlyhRMmjTJEClgVDSTyeCBBx5AY2Mjfve73+lEa1krPr2rcRUdmwAMZS1ZPEHyfnrzj0BZfiCklNLhPKDNaiSzp6eBOCrJ6Jglzo1sZiZyw9IDyXPSepffIS/x804AACAASURBVGOQ9WePUOegvQm3UqhxjdTV1eG9997Df/7zH1itVvh8PiSTSbz77ru6RKHVasWPfvQjTJgwAS+99BLuvvtu9O7dG+effz66du2KTCaDZ555BieeeCLKysqQyWTw2Wef4bnnnsOf/vQnrF69GrNmzcKMGTNwww03IC8vTzNA4skvuOAC5ObmYtasWXjjjTdQUVGBG2+8UXuE6L2QpRWpfNEDSvw8o0LEg9MTxprl0oMkPeHRaBSJRAI+ny8rbIAwr1gsBqB9vewj1DlIKk/kiS6XCzfeeKOBL9Kj9s9//hOzZs3CX/7yF1x99dUAoKOP9EYqpVBVVYU5c+Zgw4YNuO6663DVVVfB6/VqD72MvEiFmBAZ5j3wuhaLRXuGzz33XJx44okYOHAghg4dqhXzxYsX4/nnn8fixYs1VEueV0YvudazlTbtDGS+Dwm36dmzJ2bMmIF4PK6r2tDRNH/+fDidTj1/PJesgiOvQQWLpSjJIwiZoWeahn02GJDsAcKISTwebyc36eziPDLiR6XRZrNh+fLl+Mc//oF0Oo0ePXrgf/7nf+B2u3Wk0TxGoVBIl6glf+J9cY0xgs3IAQBDvwiJ35c5Rp2FzH0tJORWEnm/xWLBqlWr8Morr2DNmjW6PGkkEtHn69mzJ4YMGYJTTz1VywnCF2lg//GPf8SQIUMwe/Zs3cyKcydx4zLawHuUa0TKj44cYocSHVHM94KIkTULGYZjbDabxtfxcy5iMoxs+DMuKhnGY9hQbhZ5TS5MKjxHqHNSNuYrGQnLAZKZlJaW4pJLLsHJJ5+M/Px8rFixAi+88AJuuukmjTUfMGCAjrAwnJqTk6OV5mQyiebmZpSWliIYDOL2229HTU0NbrzxRuTk5GDEiBG4++67cdJJJ+lyi//7v/9raCbicrngdDqxatUqJJNJrFy5EjfccIPBO221WtGtWzdMmTIF/fv3N2D9KDTpJaK36e2330Ztba3Bm272MJnr0VqtVixduhR4oG0MeSyvCeCIgdqJScJDyLM4t/SmUuGWkRIacXSIkJcCwODBg3HdddehqakJ27dvx5VXXolp06bh7LPP1vySWGiuMfYPYGdaKegZUuf6KykpwQ033IDZs2fjmWeegd1uR2lpKa6++up2SjkADdXiXs7JyYHL5dJKZ2dbn1I+8d6kocRkTGlcEFYXi8X09zkvVLil4slzm5VSOgJmz56NTz75RHvcZXSZ64MG/xVXXIFJkybhzTffxKuvvqqPlTkpnLtoNAqr1YpTTjkFkydPRpcuXbTife6556Jr164AWnnxnDlzMHToUH0MIU88N5NbGSnn+pH5ZYToyDKcMiGe1+qsxP1B7zQLDkiSPHfmzJnYvHkzLr30Uu1cysvLw2uvvYYFCxbghBNOwOWXX66bznGfc2wTiQTsdjsCgQACgYDGnxMKQ15Bo0wae9y7nA+uF1k04FCHsxxRzPeCZKt0oFWpjsVicLlcWL58Oa6++mqUlZUhlUohFArh4osvxi9/+UvdlCI/P7+dJ50kLWg2GKqtrUUgENBZyGTwVH4Y0unMG/6HTplMBujAeJcCkYzK7/fjpz/9qWbqS5cuxVtvvYXf/OY3umW99AY88MAD+PnPf44PPvgAjz/+OL755hv07t0bd9xxB+644w4ArdCUs88+G+PGjUM0GsXw4cMxevRofX8WiwWvvvoq5s2bhyuuuAKnnnqqxo2m02ksWbIEpaWlGDRokF7fNTU1eOaZZ7BmzRqUlZWhf//+CAQCcLvdOnQvPUysQNSrVy+ceuqpcLvdCIfDBuHNNZ6Tk4NwOKwhPi6XC6FQCBuwQT83FQCbzaa9n0f2QeelnJwcxGIxXXVFVmdpaWnRMJbXX38dqVQKzz77LMaOHavXED1sNPocDgd69+6NK6+8EhaLBatXr8bSpUvx4Ycf4v3338ctt9wCn8+ncdLcY1SkGOUkEW6RTCY1TwdaG8uMHTtWN5rZunUrVqxYoTtAyr0t4Q00PqQHGDB6Jg828Z6ojLNiTU5ODpzO1nbmjFQArZ7yRx55BLm5ubj77rsNCX1SGeV4Sw84FXd5LJMoR44cqSuYMLGUyiwT/CKRCIqLi5GTk4P+/fvjrLPO0uuAiZ6MQNrtdv1///79dZWPcDgMu92O0047DZMmTdL3+PHHH+OGG25ARUUFrrjiCvTp00fLYyrhnFMmK1MJp4Iun13CrahQ0uFBXtfZiJBEi6UV86+NKcFSacgqpXDPPfegoKAACxcuREVFhX72lpYWLFiwAOPGjcP06dORyWTQ0NAAj8ejZRwAbNq0CU899RSeeOIJDBw4UBvIspu0zWbTkQyOH/cP54JrjWvGgO0/hJ3mRxTzvSCJ7wbaoC2ZTAbhcBhLlizR7xO7RqYHtIbezYmaMkGPXgkmJckmLzxOetXp1eiMG/0ItZI5QmLGX5KhEI9qs9kQCoV0VRUaYgwRUkDQW9SnTx84nU689NJL+Pzzz2GxWNC3b1+MHj0aN998M/x+Px566CEUFRWhsbEReXl52iNJooDq0aMHpk2bhvHjx2vG7Ha78fLLL6Nbt24aVgC0rtFly5Zh8+bNhgiRxM3TCyaTgQYPHoxf/vKXhrExhyN5LqvVqr3qq1atwr/wL8N9S++cFHzZznOEDh6Rv0kMKACDpzOVSmHbtm264dDPf/5z7Y0lhIvebp4nnU6jubkZhYWF6N+/P/r27Ys1a9bgqaeewu9//3tDgjIT06g00TNO3kzeyzXc0tKC9evXY+PGjbjzzjsxYsQIAMA777yDd999F59//nlrsxzRfJkl+rjHyful0djZjEezN5f3LhMzY7EYmpqa8Pnnn+PTTz/FBRdcgP79+xsgnDSgZMQLgIYieL1ePQ68htPpxKmnnorx48frkne8B1m9RybrplIpDBgwAAMHDtTXMBsEZtw8vfNsIMVzUaE+5ZRTcP311+Ozzz7D6aefjj59+uiuzPwuzynHxxwZIO+T4ykj7PJ+Oxvcbk9hNsR6Dx8+HDabDStXrgTQOp4ejwfxeBzdunXTuQl00MRiMR3RBVq7vj7zzDNYv349unXrZnDekOebq7AAaJdYK+eFsEjudTiyPsIhQUcU872gaDSK5uZmQ5g0mUwiGo3iqKOOwvXXX4/HHnsMQ4cOxU033YRRo0bpEBcTSSgcyPiYfc7QDbFqAHTlCiptXKT0IsiQWmfDrB2hVjLPiSx9SagSBQBLkrEGskyYoxLDyissz/XnP/8Zr7zyCi666CL8+Mc/xn333YdwOIxkMolwOAyfz6e9k7KecygU0sKElRMoQMn4yCS5hrnGiPejN4PncbvdsFqtGiNIQU0vFmEMZMCy45+EatFrDrQJCnrwJNGzwgiSOXokw8hH6OAR54TKMGsfUxlzOBz497//jQcffBC9evXCH//4R62UW61WeDweAw5dJucxIZq1zMljmWAs8cwSYsJ9R77qdruRSqW0IvrYY4/ho48+wlNPPYUBAwZoY/NHP/oRHnroIdx5550444wzgFvbnpM8nlBErkepqHYmI1GOCeeGXn5CiBwOBxYtWoS77roL+fn5ePLJJzFs2DAArfuLlXQY3aLixPOSZ7HqjTTiqbjJHgVmuKdM+GxqakIymURBQYHmNdmOk7KQPIiedavVqqE5XFNKKZ3PQqeH3W6H1+s1YMZZKY2VpGS1IYvFoos+0JN7qEAqJKQsFovpAhd5eXkGjzkjBw6HAy+88AIWL16Mp59+GlVVVdrLfsIJJ+D222/HiBEjdB8LygmZg8EKc9JRlU6ndeUeWYOeWH6p8wBtOSTSmKCSni1f4FCiI4r5XlBOTg4GDhyIxsZGbN26FWVlZXqje71eTJw4ES+//DKOPfZYXHDBBZrxeTwe3fqXiWrS8y1Dd5KpyBAolSR+RkWNobUjSnnnoG9TBGWCJAWVhDDRwyzxm1Q8GcYvKirSXr3PPvsM9fX1GDJkCE455RS8/PLLWLJkCVwuFyZMmIBUKoVPP/0UI0eO1CXKKDDJLJVqLV3X3NyMJUuWoKioSJdnXLlypYauzJ8/H36/XysglZWVOqpDTySFHQW09FrKakMyKY/fp3cqlUrB6/XqzP78/Hw0NzdnHWuOTzbB3FnDxj80MitQhJUQhlRdXY358+ejsrJS43/NnjKbzYa6ujps3LgRDocDxx57rE7clFjfaDRqyLnh+mO0U+Yt8Lvck3LfffLJJ1iwYAHGjx+vFTer1Qqv14sJEyZg4cKF7ZpeMalUKnKyzGJni95Iry1hCqzjzv937NiBJUuWYN26dTjvvPNw0UUXaT5Ew4oKqvRU838AOoHUnBhKPDHQtpfNJVKlkk+IZzwe15EJXkMa9nQGKNXWAKe2thYtLS0oKirSJTrN55fXpUGRk5OjMeaMUsoSjlw/JBoCsi47nQ0ck860BoC2eaNxlUgkNOwLpkrM1DsKCwsN5W4pVyZPnoxp06bB7/dr3UQiDRKJBGpra1FZWYnjjjtO7zkayvF4XCd5cz/xuxw7OjJltSPuZaDN0DiU6ZBQzKVyChy80oBOpxO33347pk+fjjfeeAN33303xowZoxV0QgUSiQQaGxu1NwdoU8BlSS6GaInLJaPi87W0tGhGT6+G3W7Xm8Dn8+nkv87qMc+mqHbG+9xXZH42M9bNHMa0WCx6TiVcSZaMoncRgA4RWiwWPP300ygtLcXrr7+OIUOGoK6uDoFAAKlUCkcddRT+9re/4a233sKNN96IsWPHYubMmTo5WTblIVNOpVL485//jFmzZunIUCAQQCQSwfr163HttddqoW2327Fy5Ur9XeJApbcDgL5vJqfS8w5A14iWXjLWQo7FYjo8yu+biV54MxM+nNfX7sispGSjgxFBoIIkFSH+/eCDD3DrrbeiV69eePHFFzFo0CCk02lEIhH4fD6t0CmlsGXLFjz00ENwu924//77NbYVgIYqEBvO78n1wX0m8cs0EiORCAKBAIqLi2GxWOB2u7VCxu/IvAuLxdIuOY77VNZKp0fvuyhkcj73N3+nF5meU97rRRddBJvNhieffBIjRozQ9yCrhMluwrFYTFdfyWRaa4Czu6/X69WYdOlw4DMyMkfFnwoYv5Ofn6/PTbgDAD0vAAxOLqDVM5uXl4fXX38df//73/GTn/wE11xzjcHgo0FgtVo1f7RarQiFQgaDLZNp7bzscrlQVlaG3NxchMNhNDY2GuZYKu8cF/I52VRpd3QwdB2OG5XdeDxuUMxlhHPatGlIJpO4/vrrMXjwYDQ1NSEWi6Fbt246mktnZDKZ1Jj8bdu24bbbbkNNTQ1+/etf6whtPB7XydUSq88oGOUOu6aHw2E0NTXB6XTC5XJpA5GGHfnAwaLvy2cPCcUcaF9z9WCQw+GA3W7Hpk2b8OWXXyIQCBg8mQD0ApUJIQC0NSchAQzPEw6zYsUKjBkzBoMHD8b48eORSqXw73//GyeccAK6dOmiEyhsNhvWr1+PRYsW4cwzz9QVLw4VhUTeqxnjeLiRWRhTIZGKOYUijTOZw0DM+bx589C3b18EAgE4HA4EAgFs2LABY8eOxfHHH69LVdFbmEwm0b17d4wbNw5z5szBqlWrMGfOHFxyySVaOMhENHoN6eFgGJuGITHuXq9XC5t+/frhqKOOQp8+fbTyJLHlsmIBhRSVGqlsyCQ03oPVatUNJMxeKZLElh6h3dPBhvRwTTByYrfb8dVXX2H58uXIZDIYOXIkJk6cCKAtwWvlypWIRCLo0aMHysrKEI1G8fHHH6O0tFTDtagANTY2Yu3atUgkEjjjjDPaPH4A1qxZg/r6egDQiYaElFGhY8Mi6U2X0R6JT+4oCiPhEjKkLrHP+2os9wVJ3K7kwzZba4+MTZs2IRAIYPz48fjxj39suP9vvvkGgUAAFRUVKC8v1/07TjzxRCxbtgwWS2tDKEbpPv30U9TU1OCUU07BwIED9VpgbwMJXaO3XkY4eDzHmGNLbysNPxmdYCMhpRTWrl2LL774AsOHD9fPQCNr06ZNOPbYY1FaWorCwkLNT8rKyuD3+/Hee++hf//+8Pl8yM/PRyqVwocffohu3bqhqKgIvXr10t5zGQGkkshxzQa362xEw0KOpSTycWlcMX8olUph9erV+Oabb9CzZ0/06tVLw2Oo7MdiMcybN0/j1BkFoZEl14HMn2P0lXPj8Xjgcrmwbds21NfXY9CgQVpW6E6kB1EsSPn+Xeb7kFHMgfbJYgeDMpkMzjjjDPTo0QNr1qzRDQhycnKwbds2nHzyyRgxYoTG1K1duxYLFizAmjVrkEqlMH/+fHg8Hq1A0Xv5f//3f3jyyScRDAZx4YUX4sILL8Rzzz2Hxx9/HIMHD8ZJJ52EWCwGr9eLbdu2Yfbs2SgrK8NLL72kz9NZSQoSOYfmYzozw9pb6shLZrFYdPJlIBDQ9V1dLhfq6uqwYMECnSQTDAaxefNmnH322Xj22We1FykYDMLn8+Haa6/F1KlTdTMr1n6VSTCDBw/G+++/j48++gj33nsvLrzwQu2Fl4x31KhRKC8vx4wZM7TX0mpt7ah4/vnn46STTsKcOXPaMUilFFatWoUPP/wQJ510EgDoZOhMJqO95CyvRkYljWxzGFlCAXZHqVRKGw7ZMOg/dOose4qeLnqeKdiHDx+Orl27YubMmejevTteffVVZDIZ5OfnY+fOnbj//vuxfv16PPLII7j22mvRrVs3/PSnP0VNTQ0WLVqEVatW6XW0aNEiLFu2DL/4xS/wl7/8RV9j7dq1+PnPf46lS5ciNzcXX375JQYMGKCbs0WjUa2IMp8nk8lg7NixSKVSePvttxGPx3ViNr3ukyZNwsknn4w5mGN4TgBobm5GTk6Orrsci8W0R/D7dmneH3NKT7U0dJcsWYIpU6bggQceQN++fTFnzhztkczPz8e9996LJUuW4Pbbb8c999yjMckvvvgifv/732P27Nk4//zz0adPHwQCATz44IOYPHkyZs+erUtIRiIRXeKOFVmobEsYGiFKNOoIYwiFQhpzTv7CmuhcF8wNGDt2LCorK2G32zF37lwkEgkUFhZi69atePPNN/HQQw/phFI2rPrJT34Cr9eL+++/H/369cNZZ50Fp9OJmpoavPzyy7jzzjvxox/9CEBrxCGZTBoSHFk5hN0v+X5ndEZJSBghleYyzMFgELFYDEVFRbjvvvuwcOFC/PGPf0Rtba1+PirUAwcOxPjx4zF69Gj06NFDFwtYuXIlTjrpJJSXl8Pr9eqOz/we0GqYr169GkuWLMH69euRSCTw+eefw+PxIBqNIpPJoKCgAKlUCu+88w62bNmCF198EaWlpXqNxGIx4FAWCdIqPVi/w4cPVxMmTFAA1MqVK1UwGFSkTCaj0um0ymQy+nU6nVYHiiB+WlpaVCqVUkop9emnn6rTTjtNAVBFRUWqqKhITZkyRS1btszw/bvvvlsVFxcri8WiACiHw6EKCgqU1+tVpaWlqqioSPn9fgVAWSwWVVtbq1KplIpEIiqRSKiamhr1q1/9SuXk5Ci3260AqKFDh6rXX39dhcNhFY1GVSqVMowJ7/dgUiaTUalUSq1evVrt2LHDcH/m1wdyPg80pdNpwxpKJBKqublZ1dbWqu3bt6tQKKSUUiqVSqmVK1eqoqIi1a9fP9W3b19lt9vVCSecoBYtWqSqqqrU+vXr1Zo1a9TGjRvVtm3b9D5JpVIqmUyq2tpaNX78eFVSUmK4B66nrVu3qkwmoxKJhGpoaFDRaFTfYzKZVC0tLfo1vzd37lzl8XjUueeea3gmpZRKJBIqFAqpyy67TA0fPlx/FovF9DH8++STT6revXur22+/XSUSid2OGfeYUkolk0mVTCbVbbfdZhhHeS/y+CPUuveUaht78s5oNKoWL16sGhoa9DH8a369L4hzlU6nVSKRUNFoVPMspZQqLy9XVqtVFRYWKo/Ho/Lz85Xf71d+v1/l5+crAKqwsFC98sorKpVKqUwmo7Zs2aJmzZqlRo0apfLz81VJSYnKy8tT06dPV1VVVZqfcI1t3rxZjRs3TvPfpUuXGu6Ra725uVlVVVWpcDis0um0CoVC6vPPP1cAlNfrVR6PR/n9fuV0OpXFYlGrV69WsVjMsCYDgYBei+FwWIXDYRWJRAz87buMMedPvqYs3Lhxo6qsrNzrOTGfm3MTj8eVUkotXrxYHX/88crj8aiCggJVUFCgfD6fKi0tVSUlJcpisSir1aqeeOIJlU6nVVNTk76PWCym5syZo4YPH64AqNzcXLVhwwaVSCQ0r+I4xeNxlUwmDWMUDodVU1OTamho0PeUTqdVc3Ozqqur0zwzkUiocDisZU0ikdC/yWRShcNhFQqFVHNzs0omk2r79u3qxhtvVDabTXm9XgVA9e3bVz3//PN6vuLxuOaRvN/a2lp1xx13qKKiImWxWFRJSYlqbm7W4xeJRFRDQ4NqbGw0zDHvIR6Pq0QioWKxmEokEu3WAP/n3KxatUqvy329J3dHfN5UKqXC4bCqr683rO/GxkYVCASUUkqNHj1ajR07Vi1ZskQ1NjaqjRs3qq1bt6qGhgZVXV2trr/+elVRUaFmzpypUqmU2rZtmzr99NPV0Ucfrd544w3V0tKigsGgisfjek1w7SWTSXXLLbcou92uACir1aoKCgo0jygsLFT5+fmqqKhIAVAXXXSR2rFjh36OeDyugsFgVnmxP4h7iGuaz0NZuHz5cgVATZgwgXLyW3XiQ8Zj3hmsS1psTqcTJ5xwAkaMGIFUKqVD7oMGDcLw4cO1pW61WlFeXo6xY8dqLFRTUxNCoZAOoebl5enavj6fT0MdiDUvKyvD6NGjsXnzZo3ZGjBgAIYNGwaXy6U9OZ2ROpoz+X5nmNcDSfQEMXzL8BtDwQMHDsQnn3wCAOjXrx8mTZqE3r17G9rY06uVTqfx73//Gzt37sTkyZPhdDoRDocRDof1scRcOhwOlJeXa4+03W7HZ599hqVLlyI/Px8+n0+XmWJI3+Vy4YMPPkAoFMI333yDp556Ck6nU1ddsdvtqKqqwvvvv4/q6mr861//wpgxY3RyqhLwM1bj+PTTTzFz5kxdIUaG00ms7GK323Xn04ULF7YbS3Mr5iNkpGz77GDsN0ZFZA1rAJg2bRo2bNig55vrlPkO6XQaXbt2xbHHHgug1YnUs2dPxONx/OhHP9It15VSGDlypC67RlhDOt3abfKcc86Bz+dDTk4OSkpK2nU5ZAKzrEHudrsxbNgwjBs3zlABhJCu4447rt1z0uOrVFs98/2R7Mc9ta/OBbThiqkYlJeXY8qUKboEMGu7Ey+tlEJpaSmOO+44A4YfgJ6Pk046SUeyjjrqKFgsbfWmmU9FLDFzsGTUjHPCYxhpVLuiLrI0I+eTMFLCGVwul56z8vJyjBkzBl999ZVec7169cLIkSN1G3nKX8rVvLw8FBcXY+TIkVi4cCHq6urQvXv31hr2aGt2I3H5spQi8w24Fnj/nU3uybVKGIsZyiLLPX/99dfw+XyoqKhAQUGBxpXzWZPJJLZu3Yq6ujrYbDYEg0Fs3LgRmzZtQlFRkS6taLfbEY/H9Zwyb6hXr16YNGmSrupCuBorJ5GXxGIxjB8/3hAxTSQSnQLe+H3muNMr5p1pATNUxvAYOymygxVbx1qtVg1vueiii3R783A4rKsGFBcXG0onssOaUm3lpSjELrroIlx44YUA2rDqxO/KZLrONFbmfIDOdG/7m+RzZ4OyyAQ1Zp47HA4cffTRmDlzJi677DJUV1fr8C+JwkvWIX/llVfw5ptvwuv14pxzztGJWCTZyc3lcmlcrsvlwscff4z7779fM2JCQxwOB3w+H0KhkBZW69evx6233qpDnAx5xuNxhEIhAMC9996LRx55RDcvIlxG4oA//vhjrFq1CqFQyCBYJc6VyUBOpxN+vx8tLS1auMoxZl4Hw9tHaPd0sPag5AFUsgDglltu0cYpy9XJknShUEgnlAFtidMVFRW45557EIlE0NLSArfbDbvdjh07dugmbg0NDVqRuOKKKzBt2jRdXpFrhWFxVnfx+Xw60ZDC/Y033tA8Xt4DS9rKcDlx6EwClU2z9rWSvi/4quRTVIjULvx2cXExrrrqKkyfPl3vtXQ6Da/XC6fTqSGcbD7k9/u1cZ+Xl4eCggLcfPPNSKVS8Pl8CIfDOm+E/Il5KDTC+D4VL5mLQhlpt9t1sibx5eYk2cyuilUlJSUAoMv1KaVw5pln6rrp5Cm8Tl5eHuLxuK4EIqthjR07FkOHDtXNsIC2Dt2EgFgsFkMCIp0tZliOeey/y3ztD5KKONeDJD53NBpFaWmprrwCtGGppYOFzeGA1twkj8eD4uJiQ+4Fj2OCKGXclClTcMkll+jqP0wAzcnJ0bArrhubzQav16srgkkj7kBSR46Qwx5jfrBJYmHZyZPey+LiYv05y73RAqQi43a79bm4oKgoZTIZ+Hw+LZyYJBeJRHRlCp5Henx4rmyJGp2FfkhKOamjpET5HoUKq5NYrVYMHjwYv/rVrxAKhXSDKqDN0647su36/sSJE5GXl4eFCxfi66+/xrBhwzBp0iS9Rhh5oeeJGE6r1YrRo0fjoosuwr/+9S8cc8wxGDJkiFY8KKRsNhucTieUai0ZR6wnm73Y7XaUlJSguroaL774os6eZ3IzjY/m5mZEo1FUVFTgjDPOgM1m08oNvSzmceLe8Hg8ePfdd7Ee6/XnvEeO3RHqmDpDhErWxgdak5Pp8bZYLPB6ve0UDyp9FLZSMCvVWtu+qKjIcB0qd+S1VPKKi4sNx2UyGZ0EarFYNI81V3MpKirS65P3QZLJfUCbx5h8WtL+8Jx/XzJ7cKWR7HK5tFIlG4YxEuFwOLTX2CyPODfkG5J4LhpDAAw10KWyTYNGNpSSZfLkWqFSRmNMnj9tkwAAIABJREFU4pVZspLKNxU7Yt2ptDOqI//yeQsKCgzrUUb6ZHREPhPlshyDPV0DB3qfmo2bbOuVc+d0OnHllVdix44deP7557UMk1GX3Nxc3HDDDRg/fjyAVsX8F7/4BQKBAI466igty+T4yf/z8/Nhs7V1/uRcAW3yQq4Rpdqqg3H+DhaZlfJDWjHnzTc1NcHtdiMYDOpMX1kLkxuIlrEspbivwnsGOrrt5caNG/W1aLGRCdGql4krDN1JC5HHBgKBdt3OyFhYz9PhcMDhcKCqqkp709mUhlY9m8MYrNVd97xhwwYcDOKmVkqhtrYWmUxGN9GRNW1lAqH8e9gp8mINrV271hA2l5EFQph++tOfIicnBzt27EBVVZX2UMlxYwLn5MmTcfrpp+PZZ5/FmjVrMHXqVA194t4BoBsXrVmzBh6PB127dsXo0aMxdOhQDBkyBAMGDMCYMWP0mo1Go9q45NqToXrCqijo6uvrNXOuqqrSESLCCbp06YJLL70U48aNw9SpU3VJRFlGlIyV64f1dO12O0aMGIFLcakexy1btuiuis3NzdoQIJ/gc8ta6oc7SeEqu8PKpMW6ujr4fD5djpKeYfndfUa71v3GjRt1DwZ6xWKxmIZU0Qij15wVF2T3Y649ADoZ0+Fw6IiK1dpapjOZTGLbtm261j73FBM86ckmP5L1pnleen3pDeX64V96R9PpNNCv7XE3bNiglctsijlpd2Ms5Rh5Av+n8skkUpvNhp07d+q9w2eS+4dyUisIu+6XhQvY/I7jzPsjT5JKMr3aVDal55tJnDRwCAOhF1l2z+Q98nPKPo6d7I3A63MeyGN4bQkF5NxwfrZu3WoowUgeynNLjyuVdUYGOP4yKZbnJwzGDANiNFO+TwVRXovrnTxce3iPap2b5uZmbNq0CYARrre/PObS8Gwng4Xsys0RicvX79m5H8JDrS/8AH7b+vJO3CkuvutvjvjfbLvYTMcCbY2POjrWRPtaF5LRHHO0l7LS6XQiHo8jEAjo7+wpdTrFPBqNIhAI6MXPzaRL4IhjzVUeSPtDuADA0X2O7vi4Tkg1NTUH5bq0em02GwKBgPauxuNxHT6WIUj5PTmX+21ODzSJZVNbW9tO4ErFkULWYrEgGAzqULBUsgHo+q719fXwer0444wzMHHiRKRSKd0mmRUK2MXP4/GgublZC77GxkZEo1GMGDECoVBIVw4CoKsJUOhRKKRSKTidTm1UhcNhXRP94osvBgBUVVXpclqsR3300UejrKwMTqcTlZWVulEI70965hOJhH7mSCSCTCaDLl26GIa0qqpKK56sAEN8MtCmXGTzxh+uJPcLO1BSKSdOurm5Gc3Nzbq8JqFK+2Wcdq376upqxONxDWUAWvk8YU6ELrW0tCCTycDv9xvqEsvQNDsTJpNJuFwuhEIhNDU16XC2VNRYhpTOjIaGBvj9fn092VXX4XDo/Ax6UyWmGYAh2qQ9ikIx37lzZzuHUTba03E284lYLKadN7y/5uZmvXfC4bChIQvHQXoaeb/btm1DPB6Hy+XSkQPuF7ORZlbYadjwPRp4FotFzyGVXd4Hcwh4L/yc55f9DFg+jx2QZQlVXpMKPe9X6gYyH4D9E7jmpBOExoY0GBOJhHZEOBwOjYWWWHLyHI4pdRTmJlBRB6ChLNFoVEfQ+R0aUpxPKuaBQEDfC6GFdDjsL8Vczq/hGoeWytMh7StdSEYTuJ6lfORnhPGkUikEg0EAh6hiTqWsuLgYJSUlyMnJ0cyTirk5nGhW5I6QkXr06HFQrisZutVqRUlJCVwul2ZGZgHAY38I89mjR492IWSOh2SQqVRKh+nJzOmZkl4sjhe9j6xlzj1DBYVJNF6vV4eSCQ/w+XxaUYpGo7BYLPq1DANTyFKZIbSFGF+Xy4Xa2loAMHRu9Hg8Wvmj90l60WgMUBAT4iJD2GZFp6KiQmOTmRgrmSW972b4weFMct/IZDoqpwBQX1+P0tJSnezGBCyp6Oxr6tatG+LxuI5q0GgjcV1I7z3Xr4zS8Ln4mp7joqIirehx/hltZT1+i8UCv9+vFSXKFl6PMBQqSxw3ejVpBBJvTYiM+TmzkVkR31P+Zj6OCiCfifs7JycHZWVlOoeJ71ExyKbQnTbptD26hyN04KlLly4aNkM+SvmwP50M2SLWm7dsRu9evffbNQ8Ebd6yGdhHqpBUwGWUwRz9BqAdkolEYq+v0+kU84KCAhQXF2sLlp8Rh32gBW06k4bNeugllqUzaaDi4FxbZqcD0FnbDGPKOZQWKNfA4UxH9T7q4N5A2bcf8r2oYD+ffxf17NkTALI2KKHHzrzWDmfKZuSaq1ak02mUlJSgpKRENytj+H1/7r8+R/XZ5+c0UNf9e/o9pYqK7Ax3bxXzbJ9LOAcNXhoYubm5KC4ubtcGXeY0/VCiRocDFRcXo2vXrtpYBNqw8gcDlpdKtxrRUiElFEh6ifH/2fvuOCnLq+3rmdnZmZ26FXapCtJFpIooRSyxhKpv3sQWFWNL1AT1U6OvxBIFosaCLSHGRJMYidEYa7CFYhAMAtKL1AWWZdv0mZ2Z+/tjuO498+ws7CoLi+7hx293pzzPc7dzn/s61zkHyKjIykMFP08QgCKZDy3xBmSjXJlfk59rLTvI/Lxco9IzFIlEdNyV9HgfStqMYQ40VP6T7q5sSOrBUNXWcPcoqAx3BZ+BJ1hGidNtDGRyygBkFJagi1am/aFwwpOTSbRU8pno/gLSVAKpgBsudFi74CuLdA2Sswg0cLTk2GYL2PjG8s7b5WsLUyqSG8yYDc4js1fm2yRcTxJlY7VLSW1gHzW1/tql+XI4DoAH279kQCI/S9Sf95fB3tx/pPcEX6++UbscASElSRqxcoyPhphtHyCzSieArM8sqVgyU4o0XnnNlratqXXS2l73g9kk0stLm41eq5YcqtqMYc5G8sQvG23mQB1OY81AM6/R1J5lIK3szAov22tNvWeejzloPDLGgf8W03vCJldoG6gIXeJKKR0UZD7ZUr4NSI6Cav48a5dDSjQWRSQV0ZQCGpsyW0Nr8THbspj1ovmn9FgBDRtra/XTt2net4bulbox2xjJgEkg0yigEGXXRkKyga8tEye0dA6Ew2ENEOXk5GgARvL8CS5JOpDMeMJ9XhpzpAoBDeXhZc75ljwnqZOkRWVLocc1wT7JFuwqq4nK4NFoNKpjHUifIh2P141Go5pyJPuLeyKZAGzj3r17UR4p1zEiQANAeTR1mvn+0jNJkePI7wDIGOuvM+ea+5ytLfIeTXnD5EHqq9irbc4wpyEnaSsy8pWKiK5X86lM/n4oyYgy/gaIAQP1ifpDf/AICE+K/C+DouRGITMecOzoRTjWjKtv2nxqq+Kwp4PGmENa+RoyRHBDlG7Xb7Jkax/1pjmVG0uEy8A9eui47g53f9Ujfa9v0tqorqmG1+vN6KsEDk/KTrPxQ5GcVo4TYzX4WYthSQNIZhDJikwg6HA4Rpymvx0H/st7yPtkcepmBa4MNF1KvaVbQe6B/wcTA9mBMPPzW8TrFHMfSLuf13U3cd+mxqMUGXTD+kS9NupbY31+XWlJqtqWosZtUeQ6BDLBYrMxzvFiHx1Ww9wwDAeABUhPuxwAf1NKzTAM43gALwMoAvBfAJcppeKGYdgB/BHAUABVAP5XKbXtUPehgS3TV0kx5wqVnSD5kV9lM06phqT/BxPSVcLhsM4UICkqPDWTT2SxWHTWAb7P4EeZBkoOpEQHKPF4HDabTfNpeVpXKp2XNdfW2OVlliNt4BJdYPCgdMGaaUnypwwMzRZQ0S7tYpa6ujqdu1gGqwKt79ZsK2LWXVxHEqGSa5Gvmddda0hLuJXHgng8nlYzkg5mmEtkXFIDmcWpXb55wrSK9G59G+JljgWRtokZEZegcbYKqs2R5nwjBmC8UipoGIYNwCLDMN5BOpPlr5VSLxuG8SyAaQCeOfCzRil1gmEY3wcwC8D/NudhaHDLySdPI9xIshl48jstVVJm4zCb0PBnjltz1UIz91zSOWSAo8yuIRUrjf433ngDZWVlGDJkiP6O3W6HUkpnFKB70Ez5MffD0RbptjS7f2RQmnyd0px4grYszXVtZzt8SBcwJZFIIBgMYteuXXj55Zfx+uuv4/rrr8ePf/xjzR+VYy+DcHhYBNL9vXfvXmzcuFEXCKI7lWm8yEvt27cv3G63HkcWevjZz36Gp59+Gnfffbeu3lhTU4MOHTrggw8+wKhRozICgG02Gx588EHcdddduPrqq/Gb3/ymkZcLSK+j9957DzNnzsSzzz6Lfv36IRgM6pR5zO5CBIIorDSSpNH5bRJze82pZYFMTrkU6qnW6jOzTlJoyJzCOWUYDXmmAWTk1ub8pJ5lfA69ccwXLN3lBDDYFwxEk/c0Z7mQGTDka4lEAnmOBhhXFjI53CLHwDwe5vc4ntmeI5FMIBAIID8/v5F3knqFByYGALcECOH1ZE75bMGmvE5dXV1Gkb1gMKjHlrx46SWX+eCbsz+bhfspQSzu2cz4xPguzgHOnWg0qvck9pPMTkW6BvOPW61W3Ran05nRt/IAFYlEdHXL3NxcBAIBANDpFSnl5eXo0rlLo35s7TXaLi2TbHMym5H+Ve2XQxrmKn2n4IE/yY5WAMYDuPjA638A8AukDfNJB34HgL8BmGMYhqEOAS9IeoN8TaIt5gZKo/dITFoWrWBOdS4W5o5lJUIuNFYllLw0m82mXVPS5c4FP336dJx77rkYNGiQDmyj4pLtpKKpr69vQ4SkxiLH08xxNSsb6eZqay671hLzuHJOx2IxuFyuDK/DsmXLcN9996F///54+eWXceKJJwLILKWsDvD6OZ+YQxhIbwKGYeAf//gHHnroIfj9frjdbiildF7kQCCAcDiMWCyGzz//HKWlpTpvNA19l8uFgoICnQ86JycHgUAAhmHo3MFsB+c7U0bZbDZdZpmp6ZgWz2JJF+AKBAI6vZ/b7UYqlUIoFML+/ftRVFTUCIFgOjzzIe/buIlx3cgiKWZk3Ewfk++1Rp+Zr0m9RS+HYRgIhUIIh8PawKPBaebBcx5xvMlHJg9YtsssNPwdDoem8ADQ81V6P/mc2dDo1jLKs4l5PwQax1xl80hwT5Gudo6vPPgHg0GEw2F06NAhQ/8cah7wsMNKrDTs+Vw8kFN8Pl/G95kViM/DPN3hcFgHcWcDaprbVxIgk5WVZRVtaTyR983PBoNBncecukpWF+XhjLnLzSAZ84/TEy4rofIgRO8VQT5JTaLI4kItlfb4jiP4DMK24X+5D7ZUmmXSGYZhRZqucgKApwBsAVCrlCLBaBcAJnHtDGDngYdNGIZRhzTdZb/pmtcAuAZIp5lieV+pHMz8ndbeQA4mvJ8seGC321FZWYn//ve/yMnJwdlnn51RqQtoSFPGDYWpyUhboSG1c+dOrF27Fh06dEBZWZnO6Wu327F27VqsX78eeXl5ulCPw+FAUVERRo0adUT7oTkijUz+Lf/LQ438/Ldd5IElHA5j5cqVqK6u1ojUG2+8gSVLlsBisWDfvn1YuHAhduzYAQDwer1IpVIIBAKIRqMoKirSadT69+8Ph8OhU6s5nU4UFxfD6XTC6/UCAJYvX45kMonjjz8ePXr0QCAQyChrzo2OQhSbm01JSQkuueQSHHfccQAajIhsB2sZ8ETklMVm7HZ7RpVAbtwMqlq5ciW2bduGgQMH6mIpZoNKGk7fprllXm/ydVIhJABypA6/TRnmVqtVjx31guTF0yhftGgRAoEAzjvvPD0fqE9Z0ZPIq7yH1LmycrRS6SI2X375JTZu3IhgMAiv16u9kDTiEokEPB5P+gAsUpS35nzKNiZyXPlT7pNN8XZtNpsOPuRa27ZtG5YvX46ePXtiyJAhei+iNBfh472ZTx1IV+2eP3++9l7Q28bPcdz69OmDAQMG6PvwAJQN/Zfe1ZaIYRg6uxkrJ1utVqxfvx6bNm3SgZnUTxMmTIDX680AzGTNBsa+sV/NnnuCdR9++CFqa2sRDAb1oUVmiaLnYMSIEboWAw18eRClyEDZ9qxJbVPkOsy237QKYn7gxkkAJxuGkQ/gNQB9W3ynxtf8DYDfAMCwYcOUmQpiRnqkZHMTHInNl4ujrq5Obxzl5eWYO3cufD4fzj77bO328ng8GQYoC794PB44nU6NrMfjcYRCISxatAhPPvkknnnmGfTp00ef7JVSeOWVV/DII4/A6/Wivr4eoVAIFosFp59+Ot5+++2WB8W0smSbmOYxy7YBHcyN+02VbGmwaGw89NBD+Oijj+Dz+RCPx3Ul0CVLluCGG25AKBRCIBCA0+nMqLTKk7vVasU555yDmTNnomfPnlqBTJo0CaeccopGyvPy8vC///u/2Lx5M2bMmIHvfve7iEQiKCoq0opGPp/f79fIuPQOzZo1C/n5+QAaqr9Go1E4nc4Mb5IZ2ebaoGeA3yO9IRqNwu12Iy8vD6+88gpeeuklTJ8+HbglfQ0id7ye2b34bZlL2ehB2byMfN08rq0lSqkMHcXnpEFJbyOQBj7o4XE6naipqcFTTz2FzZs34zvf+Y423lgQy+FwYN++fcjNzdXGNY2qUCikDTuiugRVgsEglixZgieeeAI7duzQczQWiyEYDOr5O3jwYNx2222NDPPWMpSamqtyHsufHM9UKtUou1cqlUJNTQ1yc3NRXFwMm82GhQsXYvbs2Zg4cSL69++PvLy8jAqnzV0r5jS/qVQKVVVVuPnmm7WhydcTiQTcbrc2kqdNm4aSkhKUlpbqwxiBKBqyMttMtkxLhzKAWACN+y+Lvbzxxhu47777kJ+fj3g8rguqdenSBWPHjtXGsaTlEMWWtgkPljL9r9VqxS9+8Qt88cUXGnxgVhi73a4pV8cddxyuvfZaTJkyBYWFhRkJEbJljjG3rV3apmTTqZIa15IxbBEJQilVaxjGRwBOBZBvGEbOAdS8C4DyAx8rR7rO0i7DMHIA+JAOAj3UtRuhOJzsUoHL9w43leVgCBKvH4/HUVBQkMHJXbFiBQoKCpBIJJCfn59RCjmRSCA3NxdFRUX6VMzTOg30/Px8uN1ufPHFF+jZsyc8Hg+UUrjjjjvwm9/8Bj/72c9QW1uLUCgEr9eLxYsXY9q0aVi3bl2jTa+pNhyNhZ0NlZObmdmVbv4u8O1QSPIAx/6oqqpCeXk5jj/+eDz77LPo0aOHVtoWi0WjhE6nU+eJp/vU4XBgwYIFuOaaa7Bp0yYADTxS0kT69k2frSUXMhgMomPHjvD5fPD5fBg8eDBWr14Nt9utXb/k59psNtx11134+c9/rr1CFku6iMSpp56KuXPnon///hmpxLgWOLaRSAROp1MjawC0C5lUrZycHPh8PsyaNQv33nsvrrvuOixZsgRdu3bFrbhV9yHvbz70taWYi9YWM2UBaMyBpG6SnzFTJFpbaIBRfwaDQW0g2mw23HHHHXj66acRDAb1AbNLly66DRaLBS6XSwfQFxcXazoC55nT6dTVEzk/yfG1Wq0oKipCLBbDpk2b8N3vfhcvvvii5v0S3WVfsQIvRR4Ej4SY9znz69xrpGHO9d6pUyfMnz8fN954IzZs2ACgoX2Sg9/SlHw0QMid9nq92hv81FNPYcKECQgGg/ogHgqFtBfD4/GgoKAAsVhM0zx4b+ktkwDDoVDIbPteMplEXl4eUqkUHn30UTz44IO45pprUFFRAb/fj9zcXLhcLtjtdowbNw6JRAK/+tWvMGrUKI24BwIBeDwe3V6i5fJ+oVAIQDooeM2aNTjxxBPx3HPPoVevXtrwZ2wDqTVerxeGYaCmpkbTCHmYREnjdn0djnlboHq0hhxNqk5TY2G2Z2RsTEukOVlZSgDUHzDK8wCcjXRA50cALkI6M8sPAfzjwFfeOPD3fw68/6Fqgc80G+ojEXR5KakcD4cBd7BrcHGR984gNJ68V6xYgcWLF2PkyJEZuZVllhXpXucC37NnDxYsWIBVq1Zh2rRpmlubSCRQU1OD2tparcBIO+jUqRNsNptWfM1tw5EUtpdjJ41PMy0pGyrbVtpxJMSsdInw0NDu2rUrysrKMgwpn8+n+8vtdjdSBt27d9dGcDbuLNA41VVOTo5GIgFgzJgx6NOnDzp27KgRe6/Xi2XLlmHt2rUYOHAgBgwYoA0sh8OBqqoqDB48WBtFQAOH02azZXCE5UGDa0oGjfLAsH79emzYsAGTJk3CWWedhbKyzFKPbI90MX+bkHIpcmOQgAZfl/QR9tORPrxIygKfR3pShgwZgilTpujYgrffflt7Z6ReISIpPTecuwziI4WFRp7M4U2D3ePxwG63a+OIYNDB+uVIzi85pmZai6RFSpEBql26dMF5552Hfv36Yf369Vi/fr1ek7yGWSSoIteTNJrlZ2UqXOoqqQMYy8Lxox6Qa5+UEHnYoLEus5tRJHVA7q0EAuiFoQFcXV2N+vp6uFwujYgzVeiePXsQCoUyAlDlnJR0FF6Tz8ADAO9PnZ2Tk6P3bH5W9jX1vPSamnU1ecpNAVjtcnQk20FR6hSgYW0yNqEl0pxjfxmAPxhpnrkFwCtKqTcNw1gL4GXDMB4A8DmA3x34/O8AvGgYxmYA1QC+36InaqPCgLpYLKYHJScnB36/H4WFhdi1axeeeOIJ9O/fHyUlJY2qYBFt5OmJC3DDhg24/fbbUVpainnz5mkXmM1m0wYXlQI3IQbIkC7TVqp8flVpVzjZ+4AISk1NDbp3766ROiryeDyuNyDyY6PRqOaWch5Jt7vFYtHzkptjKpVCXl6ePmxSiTz55JM6+Nhiseggreuuuw5ffPEFJk6ciBkzZmSkCZX8cYkQKaW0W5ci8zHz+XJzczU/kx6mf/7zn8jJycHcuXP1hhqPx3WOYqJ/h6LAfZtE9oH82RY8CGY6AqlYQHosJ0+ejIsuuggWiwVbt25FVVUVtmzZkhFEr1Q6iI5gieQoE6HNy8vTc49GTzAY1LQqAHrNSCOUG2k8HofTeSBZtSV7G46kyHvKeX6wZ4nH4+jXrx8effRRGIaBhx9+GDNmzEAwGMygYUhEXgaxSTBMBsKy/7m+ZcyQPNzTI1JQUKCvFQqFUF9fr0Et2R4g8+BGo5wGvESsZeE6CQDxvwzepQ6TwFpdXR1SqZR+NrfbrbPYUKdIaonZ+Kcuk4GvDEIuLy/XXslQKKSzX8mK4FarNYMyIw9L7fLtluZkZVkFYHCW178EMCLL61EA/3NYnq4NCbmwPBlXVVXhnXfewZo1a3DhhReid+/e2L17t1bypBhQGUjFIZWb3W7Hjh079MZhtVrxySef4F//+hfi8Tjuu+8+jB07FkBDkFtBQQEuuugiHV3fLt8sMXuHJHIk6RrStcrvyU0MSCNCfr9fu2YlIsPATc5RwzC025ZSXl6Ov/71r+jXrx+mTp2qN1SLxYJu3brpzxHpku5xmanA4/HAZrPhgw8+wLXXXotOnTrpg0UkEkHnzp1x/fXXw+fzwe12w263o7q6Gk899RS+/PJLXHbZZdotTfe2bId0x0s5khk02po05WptC8/R1Ps0pHgo69Chgw4I5vySyCuNIkkblPnaGSxPnUwUnUGe/CyfQx5eaKAnEomM4jHSA3i0pSnjnDqCnjceUOx2u85kQ5HrH4Dua6YHZFVPcsQBZHD5uRbr6uoacc9zc3Ph8/m0PjJnuZEZR8x0I1KbCEjE43EdT5Cfn5/hBcrG46VRHYvFNE2J88rv9yOVSmkkn22UelV6J3gAINgg00vyP+egYaTpVZwj0gsu+5nv02bIy8trVD2zpUhru3wzpP141kzhZsHFtH//fvzqV79CJBLBm2++ie985zu47bbbdHYMoCFdItF2oohc0EQai4qK0KFDB9TV1aG0tBTvvfce7r//ftxwww24++679TPw3sXFxfjBD36gXzssldyOkJjpSO3StHBz4FxhdhQatNy4pCeGBgmN1Gg0qoPpmEmIm6TcJJgiUWZTsVqtWLZsGR566CGcccYZGDVqFEpLSzUCtX379gxaV05ODmprazVNRbpmiRht3LgRmzZtgtPpzEhB1r9/f0ydOlXn9K+ursby5csxZ84cnHPOOTjnnHN0vyilEI1GdYXApnLltyPnaWmKc360RaKdNJJp/NBjEgwGNW+cwkOfnF9cEzQ+3W63RsN5oJV6x2q1ap0MpPuFqT95bc5hc5+ZD4ZHQ1qiQxn4yPSSkqKRjZLDPUoGVHN9y3XFQG2OWTgc1lxzAKioqIBSCh07dtSBmAAyqDc05CXaTQCBdBx+JhgMoq6uDl6vV9M7zTQfXsPlculnZs5ypig0DAN+v19nrorH43C73SgpKcnwnJAXTt2llNIZZ0hR4f0kGMJ+sVgs2Lt3L5xOJ5xOZwa9inOewITVatXUm2zj3JbWbbu0vrQb5i0Qj8ejUfNYLIa6ujpYLBYUFBToPLw8wUtXnxRuEFu2bMHf//537NixAzfddBNOPvlkdOnSJYO7R8WYSqU0pQBIK9pu3bq1I+bfYKHBQkoTjQEaHjKTgkTBJbrDdIgMJpYSCATw+uuv491334XdbsfmzZsRDofx3HPP4e2330ZVVRXmzp2LoUOH4t5778X27dsxc+ZMTJgwQecif+ONNxAKhXDVVVehT58+2LdvHx5++GHE43Fcd9116N07nc8wmUyitrYW9fX1OPXUU3HeeefpFGbMMNShQwcUFBRg+/btKC8vx/Tp09GnTx/ccMMNGD9+vN4UJbpGIfVF8lDboiF6NKUtHoalN1HmraYhRsNL8qhpfHEuMF0f5z0NcaK0RCJp6DEDENDAL/Z4PFi2bBmeeOIJ+P1+nHDCCbj44osxdOhQBIPBRijm0Z5T5rFsyjMiDWrqCHqcJF1FXpMGNw1keQ0i2USYudfxp9vtRigUQnFxMYLBIOa4eSYjAAAgAElEQVTMmYMVK1bA5XLh5ZdfBpAGAHJzc+FwOHRdAhrszGtP4d7J5yFK7vV6G3GxKdLol/vn+eefj06dOuHEE0/UwcF5eXnYvXs33njjDUyaNAn9+/dHt27dNJUFaAAUCCKEw2EopTJSK3J+8JDgcrngdDqxdu1a/PKXv0QwGMRNN92EM888E0AawSfdh0Y6/5u9GRybb2vMzLdV2g3zZgqNEaKWiUQCJSUlCIfDqKysxKBBg3DxxRfjhhtuwNChQzFt2rQMjrhc7AwImD17NgzDwOLFizMiuFmVLh6Pa+Ob95UKVLrwjjVpVzIHF475ihUr8NOf/lQbslTSpKHIXLySyhGJRLB+/XqMHTsWPp9PzxfyHXNzc3Hcccdh9OjRsNls+O9//4vq6moUFRWhT58+OrCuR48euOWWWzB79mzceeedCIVCGDZsGAzDwOeff44VK1bgtNNOQ58+ffCjH/0I/fv3xxlnnKEzZZCXToNg2LBh+L//+79G7eXGs27dOp3nd+zYsejXrx9KSko0j5jGgjSWWADEfD3+PFbXyOEUiSoebZFeIMnbpQEoeeQcVxmwKhFzacSTXsBqnaRiyO/w+pLS8oc//AE+nw8jR46E2+1GZWUlZs2aBZvNhj/96U+N+uxo55Q2ex0PNqbmwHJ6cc0UDBrbAHSf0fDMy8vTiDDTpALIuA6QrqWwY8cOTJ48GcOHD8fJJ5+MKVOmIJlMYvLkyZg8eTJ++MMf6s/HYjH8+te/xvz58/Wz0ggHGrLpsGLnTTfdhAkTJuAf//gHnnnmmQz6J/WCDDL3+/0477zz8JOf/ARjxozBaaedBqvVikAgoD0qubm5mDlzJl544QWMGzcO0WgUoVBIH1BisZg+TFgsFl0oifRAGYjMGLTXXnsNZ5xxBoYPH45Ro0bB4/Fg7ty5+P3vf48rrrgCZ511lu5P5kdvqnT7wTKXtcs3V9oN82YKg+oYgOlyuZCTk4NQKITVq1fjuOOOg8fjwV/+8hfs378fF154Ibxer954JA1GKYX9+/ejV69ecLvdabf8gXuQL0teZSgU0gEp8XgcgUAANTU12lApLi5OJ6Q8hqRdyRxaqIwTiQTWrl0Lv9+PYDCoKSA2mw0Oh0PTVWQQFd8DMgutRKNRnZrO5/Nh9OjRGDVqFKxWK/7yl79g+/btOPfcc/E///M/jcaouLgYXbp0gcvlwvbt2/Wm3KNHDxiGgfXr12PXrl2YMWMGBg8erO8t3dc0tGjYkIMujWebzYaysjLceOONKCoqwvbt21FRUYFOnTppg9yMHlksFt0XQNulbhwtaWt9YB4b6kWJ6nL+U+fyUEqDiXQBziP+LnnSkobCn0zNl0wmUVJSgkGDBmH58uUoKCjAj3/8Y01/Wbp0Kd555x1dzl0KjcU2Z5xnGWYZ88HPSe8DjUvqGknHkAg2AQF6LGgMExyiUe1wOLBp0yZ06dIFs2fP1hmU/u///g82mw1nnXUWSktLtZG7efNmzJ8/X1NObDYbwuEwbDYbXC4XlFIIBAKIRCKYMGECAGDbtm1YsGAB6uvr4XQ6NW2F+obzY+/evTjxxBMz0oHSy8L9eNeuXejZs6c+1FEXcS6Zqajsj9raWh10z3kKAAMHDsTixYuxZMkSjBgxQs+pFStW4IUXXkCvXr0wYMAAlJWVwWazoaamBpFIRFcGNRvnMjC+Xb490uYM82zuNRmgBmRGkR8p4emZ+ZWJQm7fvh333Xcf5s6dix07dsDtdqNLly4ZgSdUXvxZUVGBRx55BFdffTX69++P0tJShEIhXVSI7i2v16uzAhhGOuXTww8/jI8//ljn8R02bBgw+4h1Q7NFbhzmgNd2t1xjkX0iuYxdu3bFbbfdhg4dOjQKyiKywwAt5i5mtdhHH300o0oiC41wbOS48LvSwJUlyydNmoTBgwfjww8/xL333gsAmDZtGs4//3zMnz8ff/jDHzBz5kx06tRJb2iSp0ovkdxkIpEIgPRcYV5rImbM4EK0nMFnVqsVTqczzZs/kDCD7l/SFaR++DbNtaZQ8eYeVI50X5kPZWZuMwBdsZHzkgAFswglk0mtY2moMaCOGS8IfNDAprEzePBg3HXXXQgGg7rgFj2Wt99+O8aPH4/rrrsON910EzAk87mPhLEkxzEbz13Kwd5nH5s5/WZutjmAknQhmYZUehq4N/F7Xq8XL774IiKRCLp06aJ1DQDMnTsX77//Pq655hpMnToVl19+OQzDwBVXXKFTDMt6CgD0HpdIJBCJRDB48GAopTB58mR07pyu+MQ9lfqGwbxKpZM19OnTR8cf8EDGKrG/+MUv8N577+Hcc89F79699aGPnhVJi4tGo7pyMmMYJF+cB7UHHngA5eXlSCaTGDJkiO7f6667DsOGDcNHH32E2267DRdffDHOOecceDwe7ZEA0MjzJ4NQ2+XbI23OMD+YmDfcIy2M8q+rq8O6devQsWNHnHDCCaiurkZlZaU+XXs8noz0dDL1Un19PaLRKD744APccccdOOWUU7TioeufBhMpBwA0ush7M6Cva9euR7wfvo60dOy+LcEv2dpntVrRvXt3jBkzJqOENdBw2GkKUenYsSPmzZunD7TMWAE0eG/k97hR5+bmZqCB7P+ioiLt8o5EIrDb7Tj//PMxceJEPPHEE1iyZAn+/ve/A0jz17nR0k1rrgTIDZ+5g+k+p5EQDod1RoNUKqUpO9LQp9CYy0ZZ+abPm2ySrc0S5GirfWIOSKSHxZzJQ2YE0cV1kJkOkpQWaXwyhS0/06VLF3Tt2lVfiwdKi8WCwYMHo3fv3rj55psxadKkDMNcZuRoTWnqYNnSvY/tk+kCZeyTNNyBzHGQFCAenEkBkSg89cuFF16oryeDyc877zysW7cOjz/+OIqLi3HppZfC5XJhxIgRGD58eEYbpc7PRuXo0aOH9tTJ5wQaap5Qkskk/H6/Dnol7e3TTz/FwoULUVVVhdGjR6OoqAjhcFgXT5N9QT3G/wQS5DxlYO3pp5+ewW2nburduzdOOOEE/POf/8TLL7+MU045RR905Lw1x6RJr2O7tE1pDXv0mBjxbI0+0psLFbfdbscjjzyCe+65B5MnT8YLL7yAOXPm4Le//S2mTZuGaDSKyspKFBcX65RcXLjcZAoLCxGNRhGNRjUKyAA9urfovpN8O4/Hg7vuuguPP/44unbtik6dOqXLRR9j0tyN5tuOFNCVyzkkN1TOR3O2Cfk+X6exkUgkNO1FVqZNpVJwOBz6sCfpJ0Sf3n33XUydOhWrV6/G1KlT4Xa7NUpvtVp13vRUKqUPpslkEtXV1RlIqMyOAACFhYU6qItIp8ViySinTlSMwWcy4ArIzIJwOER67Y5lOVgbsiHoR8Ngl3QWzl1p8BGVpdcHgDb6GESXSCTgcDh0HA6vISkWNN7MiKRhGBqVlwdWGvIej6dR8Kc0+I+2NGeemusYkBImM91IrxPbZrfbdYpJ6ekkgEREnR4+otJch3a7HdFoFDU1NXp9kmYijXZpWAPIqLpqXtNSH5K+QgOXbSR3G4D2sFmtVu1lefjhh3H11Vdj+PDhmDdvHoYNG4b6+noNnIXDYdTW1ur0j7IvpOFOkI33oufGfEhgOkQi64ZhaG8A28RxNAe1si/a5dslx4RhLuVoKUSJELz//vtYtGgRunXrhtNOOw2TJ0/GxIkTMWnSJIwePRqGYWDhwoW67K90w1dWVuLf//43zjjjDLhcLh2owgwvqVQK/fr1w+jRo2GxWPD555/D7/frTapr166YMGECSkpK4PF4MGDAgKPSH4dTmhpTbgJtZRM8kkKUKxwOa2OV6AqVOKktAHTqLfm32bCNRCL68EdDnd4cFgphcBifIRgMYtOmTViwYAH27t2Lvn37Yvjw4Ugmk6iqqkJ9fT1OP/10DB06FBs3btRGOIOXiW4yyIljyY0QyERAuU4kisfXmIHDarViy5Ytuq8ON1L+TZlzR9vobolIg04akTRmJO2Jc4Fzht4ZptqUdA0aizTcecCtr6/H7t278dlnn6G8vBwA9IGPh035U0pT2TOOhjRnXM2HMMZpSMoQDy/UCfLzHAf5t0TTaWwGAgH85z//QV1dnb4G46WABkqRzMbD78p0l9Rx2fJ+Aw21GXg4o4HOcY3H4zr9K/UMYwvq6uqwYsUKJBIJnHHGGRg0aBBcLpfWk9SBBNOkPuN7cn4C0MCE1WrFggULsG7dOv08gUBAUw4jkYguCCdpnjIItKmx+yYABe3SfDkmqCxNTc4jzYckv1zmPJXcvJEjR+Lf//43fve732HMmDG4+OKL8ac//Umfjvft24dzzjkHX3zxhT4lc8NhxbBkMonLL78cl156KW655RYMGzYMd9xxBx566CGN5jBghPSXY0kkOnCsPfuREhqGe/fuhcVigcvlykBhgIaYB3ph5MbKTYRFNPhdj8ejqSVAJqrOgj4fffQRcnJyEIlEUFNTg3Xr1uH999/HBRdcgE2bNiGZTGL69OkaUXK73ZgxYwZ+9rOf4fzzz8fkyZMxYsQIHH/88SgrK9NxE9IIB9LI0LJly7B9+3YopVBYWIixY8fC6XQikUjoohxApnuX3NGf/vSnwJvQ15QGmZS2TN1oDTnU2qLRk42DfzT6SqKwTRWPYs5xqWvJFWa2ojVr1mDdunUIBoPweDyYOnWqjk2gRwhoOLDa7Xb8+c9/xu23345LLrkEL774os7xn5OTg+XLl2PZsmWYMmUKunTpkvHM9Jweib6RfSTv/1UMNSLQsVhMrzMZk8HkA6SYLVu2DFVVVejUqRNGjBihaZmkvFHnJJNJuFwubN26FRMmTMCbb76JkSNHAgDcbjcSiQTmzZuH8vJynHHGGRg6dKgOYqdRTm+d2+3W9+G6lwcqJj2gF0MeEnjYyM3NRV5eHmpra5Gfnw8A2LNnDzZs2IBXXnkFV155JS644AIA0IH0n3zyCeLxOIYNGwa3243CwkLs3bsX77zzDgCgV69eGDhwYEYmGtL+CHaQ3jd8+HD8/e9/R2FhIVwuFxwOB9atW4elS5eiqKgIU6dORXFxMUKhkAbn2Aazcc55226Yt11pjbFp84b5V+HXtcbmwgVstVrh9Xo1V5Gnf7lphMNh2O32jNRKHo8HxcXFKCkpyeBPJpNJHfjGXOWyIpjFYoHH49H8SLoh8/LytFF/LIncVA5GGfgmGVOHmrPZ2spAJBbg4WbF32kcSOOafUu3PwNBeX0WspAGkMyGAgAzZ87Es88+C6vVimAwiPHjx+PBBx/EsGHDdLpQXpvl0AHA5/PhlltuwYMPPoh3330Xc+bM0d4gZtYAMqk28+bNw5NPPoloNIoRI0bg+eefR1FRkS4wIovIcDPkBmZ2+cq2mA2Z5lA65Gf4+7HE7czWRrPR3dYoOvKAQCHlj+OvlILL5UpnnzogqVQKoVBI0xQSiQQWL16Mxx57DF9++SW6du2KCy+8MMNrQ68LD3zMtOFwODIADiLkc+bMwXvvvYfPP/9c6/GDPffh7JOmYgTMBnlzxlOmlgSgvU6sH8DPMCsKje0dO3bgwQcfxNKlS3Huuefi8ccfR8eOHTMK7TAfuESQZaEcSSe69dZbcdppp+Gpp57Ccccdp9/jdZiRxDAMbaRzv6NIT5YMhJcxCOwTViklDWTevHl4/PHHcfHFF+OCCy7QnkLqkZ///OdIpVJ4/vnnccIJJyAWi2H58uW48sorUVhYiJtuugm9evXSAcUS8KB3hjxzOc9otP/5z3/G888/j6uvvhrXXXedrp4s+4lBqdnGvh3MajuSbSwOt15t84Y5xayEDqYYm91JRvM/b7PZEI1GsW7dOqxZswaVlZWYN28eYrEYTjzxRHTu3BmVlZX4z3/+g4ULFyIWi+HTTz/F+vXrUVZWhq1bt2Lp0qXo0aMH+vbtqwONJDeOmxIV25gxY1BVVYXKykq89tprCAaDcLlc2LdvH04++WQUFRV99ba3ohxKeZgntETN+H5baEeLRTT7cDw/kT3mLDcHwQENxTfMhVo8Ho929ctMA8lkEl988QVWrlypi4LU19fjhBNOwOTJkzXCGI1GYRgGTj/99IyAJkosFsvIJpBKpTBixAiMHDkyg6ZCVzS/v2rVKjz//PPw+XyIRCIYP348ampq0LdvX3i9XtTW1upAMh5AzEGBssASX5dGtFSczZ1L2Q6Lx/ImKA3xbIcO+XdrbjBasqwN6kDOXT7H6tWr8cUXXyA3NxdVVVX48ssvsXv3brz66qu6OvKJJ56I0tJSPb927tyJ9evXQymFzZs36+vL7FiMi2DRmKFDh2LixIkoLi7G888/j3g8DqfTqSlko0aNQocOHRo3pQXz6qtKNrRcvmb+XFNiGAaqq6uxZMkSBINBfPDBB4jH49iwYQP+9re/6cP697//fW0UKqUQCoWwZcsW1NXVoaKiQrdX0lDMQeQ+nw9jx47FBx98gHXr1qG2thZKpYvx9OvXD2PHjkWvXr00DUh6RlhllXx4wzAyaCM8rMtMUWyfeQ+h94U0p1Qqhf3792Pr1q349NNP8be//Q21tbU6PWNeXh4WLVqE4uJi7N+/Hz169IDdbsfOnTsRDocRCoWwbdu2RpxwxtW4XC59iLjqqquQSqXw4osvwul0IhgMam/5kCFDMGbMGHTs2DGj/+TBKRufXO6NLZpzLbBvjkk5Cu07UntCmzHMJUplNtD4n0gf0BDxTL6svE6zO68FA0v0Zu7cudi2bRuUUnj66aexcuVKPPjgg+jcuTM+//xzzJgxAytXrgQALF++HB9//DGuvfZazJgxAy+99BJmzpypF6/MEcsTcyAQ0ErpBz/4Ac466yzcf//9uPzyyzVffeDAgbj99ttx7rnnNtmPR1Mkf1DmqgYajyn7VfIXqZglheGYMJJMxoeZq0weJfP9clNkyWzyMYlmU/nzOszNDCDDUJbzX3ptmHtfFm3JycnB+++/j3vuuQdAOvhy165d+OMf/4iHHnpIczRleXMzyi7vxXZaLOnqnXfddRcMw0BhYSGABles0+mE3W7HRx99hM8++wzhcBhPP/00Zs+erRFSm82G3bt36+uZKRYS1ZTPwQOIfI3zjsYfvVE8yEgjgAcbHlxYlY/udrY127w82iKNRLPBxk2f/cYUnDRm6ZanYdCqbRNrQ1ZMVKohyw954vPmzcNvfvMbnYOfBtDll1+OaDSK0aNHY+7cuXA4HJqzy3UDAPn5+ZomwFSi5PEahqHR0tGjR2PQoEF47rnnMG3aNBQVFemS77fccgsuvfTSrPuJUg2UsdYQc3pZijSEOW6SmiZFrpc1a9bggQcewGeffabf+/TTT7F582bs3LkTPp9Pt5UGsN1u1+gwq6hKrjf1ktyPS0pKcOutt+LWW2/FJ598kjEvt2zZgk6dOgFoWL8EoeReACAjbzxfk3x0c/v4t+w/6j32YWFhIfLy8vDBBx9g0aJFOk+6xWLRlL+ysrKMoFPOKYvFog9s7G8Gp8sMLqlUCnPmzMHrr7+OW2+9FTt37tSe7XvuuQezZs1Cfn6+DkKmd4b9xKwvUrhfsI3thrmQo9A+eS/uidJ2lboUaGBatPQ524xhLhcrFyM3F6mo5KnYvIHz/dYYKHJ6e/fujcsuu0xzvcvKyrQR4vF4MHz4cPTr1w8ulwt+v19X9Ny5cyeqqqq0USANgVgspo1xut/4uaKiIowcORKbN2+G1+uF3+9H//790adPH3i93sPezsMhNJCYYosTWNJ+pEEHZAYo8TVp+B1ryoXPbM4uwODFVCqlPSBUvLIvWGEvGAzimWeeQWlpacYmBTQY5zIDAZX91q1bUVtbi86dO2v0OZlMIhgMYsCAAZgyZQr+8Y9/oLy8HMXFxRg2bFgGEm02Wj/55BP8+9//xtixY3UWFFa/S6VSqK2tRWFhITp27Khfk6nuWNK6a9euGDFiBOLxOAYMGIC8vDw4HA5tEJaVlWH8+PF47rnnUFBQoA8sNEg4h3j4pbCv5QGPOkJmgpEu6IPNK/ndtjwH5cYg55o5Sw3bbW6/5OjytdYWcmlpjJOqxPncu3dvHUTPwisAUFdXh0gkglNOOQVer1cbMrm5uRg5ciSuvvpq+P1++Hw+PY/ZRqKjnLP0QjkcDgwfPhyTJk3SVT+Li4sxcuRInZM/lUplpElgjvTWOMRwnsk1xL4xHyoZqMlDltzN+V273Y6CggIMGzYMBQUFKC4u1n3KwET2BfcgpRSKioowZcoUDBw4EKeeeqoeAxnDYqaZ2Gw29OvXD6effjoAoEOHDqivr4ff70fnzp21gSLXJv8+3MJgd66FgQMH4nvf+57O4mMYhs6wQgR/8ODBKC0t1c/Zu3dvXHTRRfB6vTrXOtBgbEmqDtdQbm4uevTogbFjx2Lnzp0oLS1FIBDAoEGDNN9dGm/0cNIwl9mH2K9A41zz7XJ0xLwHZDu0S4qTtF9bMnZGW9hshg0bppxOJxYuXIhNmzahU6dOGcFfpHwATWdM+CruZyNbqbRjXBSO/nhSiJTk5+dncERpYMoDlvyOGS06JtByZM4njoM06iTiRASPKC7Tbnk8HqRSKaxatQo//OEPsXr1alx00UXawE6lUggEAohGoxp5l3QSbg7bt2/Ha6+9hsGDB+OVV17ReX9puADp7EILFy7E9773PQwYMAB1dXXaWGLsA9vw0Ucf4e2330YoFILT6YTb7cbEiRMxdOhQhEIhRKNRzQ83DENzgIm6LViwAO+//z5GjRqV4emRiB8zG+zfvx/PPvssduzYod3ZEv0yjHS6sVkzZ6XbrRpyukvvAo0FSlMbWyqV0sgrkMlfNedLN9Nm2pLIw4mcb2xDOBzGmjVr0LNnTxQWFh7R6pVybcTr43p+cUxkRqFsgZVm5JqHkFgsppFPOT48/NOQ5AGR+fC5vzCI1HwPmZnIYrHAYjSMeTQW1Xn3W1u4nsxp+Pjs27Ztg8PhQOfOnTP6OKVSusovEXYpci2Y+1auSYn4mdE/rjPpuZbPS8mmA1tbUqmGWgikyWQzoprSzVJvsD/oKUgkEjpIlQck2Wa5f/E16ibp+ZeeDr63b98+lHYs1a/XJ+qzekSaI5wPbckmOJzSFtsnY74Yp7V161YMGjQIY8aMQSgUwmeffXbIRdBmEHMuHOkyBqBTIUlER6JX8rMtNuTa5v76taStuNmli1waVUTLzAaO/N08xseKYS7nk5kjKpU/gzhpHKRSKUQiEYRCIXg8Ht1nqVQK/fv3x5133olBgwZpw4upwAzDgM/nyxow9J///AcrVqxANBpFbW2tNn7q6+sRDAbhdrtx1lln4cwzz0QikcDevXsRi8U0YkQ+JzeQ8ePHY/z48Zg1axb27duHn//85xmuXrfbrVHtSCSCcDis22gYBoYNG4aTTz5ZZzYimi4pTwwEKy4uxr333otoNIqqqiq4XC6NNtH4isfjmIW0YS5d5uxjBvRJ/rJE3Tk+dCnzfdJeaDjKuSipdG1FZNsl0kraAwAdVMYy61yPnEM8gLQqIicuK7nDMjhYorZSp7PvSUFxOBwIBoP6M9FoVLePr3E+kS4hvUyS/shgPd6DBhn7USOYzobnZ9B1a+olqftoLHI9sq30NgBohOrLDB/xeDyjKBIpcn6/X8eZ8HoETcLhsK4bQOObBmsqldI5zHkABhpipCStiOADC/zI1Kit6YWSNBHzARtIzw+mdbTb7doDI71zNKzltRwOBxKJhOaos3/pCWVqRI/HkzEW1HHSm0yE3GKx6O+bjXD2PXVWi9anpeH+30g5Cu0zz1e5z5vRce41HNeWjF2bMcy5EJhTltH2VK5yM6WyoiKVm2dLFvpGbETvXr1bpT1HQzZu2ogt2HLoD7aySANh9+7diEajCIfDGflaaQSYebGSniTHu60ZRFmlV8OvGmHj3i3XpBkQNAAUHPhPORHAF+lfB2Nww+csADKTRGSXUwF8mf51OIanf8kFUGz6nAHABqAUjSWbdrg9/eNRPNrw/TzTZ5zIMGT0a1LMQK31wPNJcQDonOV5jQPvHZDPP/9cGwPchJl1gmgZlWIkEsngjcvDYn5+vjYSWTyJRmRbRcmlAUvDJ5lMamQYgA4gTiaT2LNnDxwOBwKBgK6PIA+CrWFsJhIJoJ94ZhgN64Hj6GqqgQd+WpGep5RDrQGb6fNNiZy7VtPv5nsekPXr17eap0EazzQKifzzsOtwOHQWk7179+qxgygCnWPNadAnXMeG+JltjQIN4yLbbV6XFjT0m/kaZp3B75p13pFw1OQf5D0rgELTa43xjbQYyGxXrum7cu5mY5daDvw3z6Vsc9SUz2Hr1q0ZB84Wrc8D+5Gs+fCNkqPQPrN3Xxrm1Lc8MLPA1r59+1pclKzNGOaU6upq2O12HdhDY868MRJBMBvmQMtI9gsrFjbrc0TsIpEItm/frpE9j8ej03HZbDYEg8GMXKcshFBUVASfz6eDmZj7lWnw+DqVLpAOgsnJyUF1dTVqamrgdDoRCoXgcDhQUFCgOchEwSoSFc1ud2uKNKyrqqoyKu/RQM9GWZEuQbMxfqwZ5u1y5KSqqirDg0ZUj+gr/2ZcCA0cIA0AxONxXbnQ7XY3QhQl4kG0r62IVPZEZ5RSOjiNKB8Nc3ogYrEYQqFQI3pEa6BPx8TabYHs2LFDVyQ93MKDkpnmp1Q6f79hNGQlYrYP/i4N83b5Zkh1dXXWjFPNkgP7UUVF27ALDrschfaZ7VBpnHO90ivncDgQjUZRV1enP9tcaTOGOR+6Q4cOKCsr01HQMoJZCl1D2VLItQbqQ3Q+FouhsLBQ88wA6OwXLOmrlNIuslAoBAC68AGrhHHDJBrCn4aRLlzAjAWJRAJerxfHH3+87gfyiIkuNxWZf7SFxlFhYSEKCgr0azKIUU5s8kGP1awsu8p3oUvnLof+YAck6D4AACAASURBVLscNtm2fRtSPRs45mbqFAPjWLa9uLg4wwNHIygej8Pr9WZwa2UlwraKmpsPr5K/yvd4qIhEIqioqECnTp1QVFSkS4W3dlBZKpXCl1u/RI/je7TaPY6UbN22FdZ+1hYHc30VMdP+eOgiGMV9xmazoVOnTqjcX4mS4pJWfaZ2OXKyv2o/oj3S1VK/TmzL6NNHH87HanPSo8eR0ytm4CIbeEggx263IxKJaMrgMYmY03WXn5+vK2bRPUBD1Czm1DStKcwWw4h0oMFYZECIRFEYgESDQfJAicIROZYIsZkTSy6uDCIhXxhAo4p4bUmUSqdC83q9KCkp0a/JlF9SjuR48lmaUniSasPPmPs524GIgYjm+2RrK7MGkHctI/1JpaDrmjxHVuXk53l/88FVzjfex+l0aq4n57BMi2huP9BweOLYmDPlsG/InyQazXnrdDq1V4iZiPg5cmWB9Pqqra0FAO0NSiaT8Pv9cDqd+iBKL5rOddy9AR0nRcq8XsLhsObMMztLtrZKxcp7yLGjLjIXNzqaYo5diMfjusiLOUYjEAggPz8fRUVFGQflI2FgWiwWJFMNcz4vLy+DO805SbBFtsscLGdek0wpJ7MayQw1hmFoA5bc3lgsllF+3ax3+V+uFaUUjONaXzdJKiC53Ix3kHzj+vp61NXVweFwNOhXZCJ4DBIH0Ki/mKYVaMg6BmTGAMhx4NojIiizbQENKUqz0XzMY0TJpmezvW9+lkOJvC7nGQ/tbAdjDTg3aDwxPkFWGGUKWepr+Uzy2fh3tjVVX1+v+5i59M3PvHfvXtTW1qJPnz7IKWoz5lmbFqbhPFrCuSvjmCgOh0Mj5i2RNjXy5EbKCoPZXAfZaCutbcxRWZk3aUb4y/RUNAaUUjoqntxWKgPzxkEqi9fr1UE1NMCYp5eGGV3vAI5YdoCWiEQqySmXmVgO9d3mfO5wiVSwMvOC5lqS0yxfo2RbPdkeO9trVgBu+SCmn7lozHnk/cyc7mwin1vex8z1bIpXKdtq5lhKrqrkAAPZeatAYy6l+XM2AGawz4pM3j2Q/Xmz8WLle2x/U1XUs9mlbI9hes3atrIAAA3rLZv30Ow+lUYrgIx84l8HlTuYSAOJhrDM8GGxWNKcaCBz3VHMdp55TTrQWHKQOWfNv5vns2z2gXEOhUOIRCKacigz/bQWYi6NT45pcwxSczpMHih4QKOB78xzZrZdrpls/Shvm41rLuVg1sSh9Iwc06bu0ZItQV6X8QJNPUs2/rtZP2XTx/KZzD+zyaHiHqxIx9SY4moSyUQjkKA50pp6KtuBvqnnMx+ym0KPzd83/y3TDks7jGMrdV1r2Q9NtVFSzuQalJ7XlkibMsyBBp6kREcoR4qr2GQaRTkPzT1nQcMCt6Dxws5DY4PKrCy48A1kVwRW8VO+l+Vxj6bxIDcW/m9qEzvShrgUM8e9XdrlWBYackBDbnugIXMVi1nJAjUyW0RrbmbSYwI05NlOpVJw2LNZhEdfXE4XIpYIgAaPqYw1aA0xG+YyBZ+50qbM5iE9rmadyuwfyWSyeYf6dmlTkmPNgcKRSzXZHMnmxWjKqDbHwZilKRvA/DfnvcxuYy40dyT2crNxLu0Ieej4OuPVpgxzGnDmwTMPuHzd3Cnmz7RUMlDTY1gMGEipo5MmKdsCyxbAIvnl/Fy28ZTfaY1nzHp6R+YzNsXlb85zkirx8ssv49JLL8UFF1yAefPm6UIq06ZNQ//+/XXlOSoYwzDw/vvvY+LEiVizZg169OihlRKpIkqlA/28Xi+2bt2KSZMmYe3atTpVGq/HjZm0GMYvSO40/6YBkkgkUF5ejv3798PlcqFv374AgKuvvhq/+93vcO+99+Kee+7R6MDHH3+Mk08+GT6fD5FIBLW1tdi/fz/C4TCABu5dXV2d9vSw8FBeXh569+6tOeBEf1OpFB599FGsXLkSzzzzDNxuN2KxmE5zF4/HUV5ejmAwqPtZFkai25lu5G7duqF79+5IpVLYsmULrrzySmzYsAG7du3SmV0kcsyqk7m5ubDlHJrCcjQOeWbKR1OIjjwky79bc53xmqRl0WPI19qSsZFNmGtdUqS4Pg4mh6sfm3MdOa5mtzrncVukOrZLy6S1siZ91Wtmm5uS0WC+blO0uUNRP6XhLg+m2fbj1tZlhxKJ6Etd21JpU4Y5xczbMr/e1MC3S9uQpgxvKZKjzL+P5HgezKUmRZ7CdVoyZGaxMLvX5HeBhlN9NBrV1eZSqRT+9re/4ZlnnsGNN96In/zkJ/jRj36UtdgJ8wxTMUlKFN9PpVI6H6/X69VIaCKRyKiuGQgEdLVRs1Lj3zTKc3JysGbNGtxxxx0YP348Zs+ejdzcXB1LIY37uro6TJ8+HXPmzMHQoUORl5eHBQsW4L777kNlZaXm9zI4GoAOygyHw+jXrx8efvhh5OfnZ3DUzdx49qvD4dD50h9++GG8/vrr8Hg8sNvtcLvdqKmpQW5uLlwul6aFhcNhPPDAA7jqqqt0/mYAyMvL09Q5czyBLA/eFkUeZGXFYFJG5EYp85tLNNZs0LXms/I/D09mPnK8Pp7RJvmckvong7B4rUgkotcPDWjpRTBnfSLVDoBOq5lMJhtoNQeEyDQAzfvOBiAdrj6S+pNjqpTSh2h5sGFmMj4n524qldJZvqxWq67uSalP1GfoMlmBkn0tixpJuhT7gT8lf5v6SSmlKVIsAnUw76h5rvK5+J78HOeQ/Hw2brcsMEQPEftRHhYJGCildEA0D/TxeDwjrkTy+6mf5Gdk3nfDMHTKPK5JmfyA/cM+SaVSqKioQF1dHfr06dMIJGzt9flVqCDmtSoPrdkOiM29j3kumNFwjpt5Hz/a3m8zWi7b3ZKxa3OGORfZoTq4qcV9OEUizpwYDGKh4pfuWZb7Zco2mWEk47oHNkhZSMPsguSmIhEP8yYLNBh9su1tEfU/GLLclIHcmouM/dhUwJLcDOvq6rB69WrU1dXpTY6bT48ePXDCCSdkKAjzc/Pv/Px8bQDabDaccsopWLt2LTZt2pQRiMR5k0wm4XQ64XK59HUZZFxfX4/t27cjHo+jV69e+h4ysDY3NxfRaFSX3bZarXA6ndiyZQu2bNmiA6DkHIzFYigoKMDAgQNRUFAAn8+H4447DuXl5Xjrrbcwbtw4fW2mCt21axeWLl2Kzp07Z7TR7XYjLy8P+fn52LFjB/bt2wefz4c+ffpg8+bNMAwD3bp1g9frRVFRkU77xk2ypqYGq1atwq5duzB8+HBtbNJIYmCb1WpFQUEBvF4vwuEwVq1ahd69eyMQCGDLli2w2Ww46aSTEI1GdQyIVOQ1NTVYvHgxQqFQg8sfaWMtFouhf//+6NWrV6PxbEtidqMCjddVNqrDkUJSzQHzZsqiFPmaeTOWQchmI46GkSz+QyOV95L9IXm7kncvKYZmmo/ss9aYB9kMGbYvm5tc7gUSCKA3igfsbMHhQEPGnmzBr9xzzIa7fAYmMpB/m41mHvTNfSezcMk5ySwW5oQP8rlk5i757Ly2fBbZXvO84ef4N/Uw5wTbR4OaBzhei30oD50EILIhwebDSTbbQBdUNMVWtLZRzmezWpqZZN7I8juXrpy+5vipQzUj23X5+6E4/S3sopayCg42BmZdxZ/y9+ZKmzLM5cL/OpPwcE3gpq5DRS8LQABpRIacPy4wqRDZNio6KggaY1RgVChNGavSkDQrpeY8/5ESuYFKBflVTv6t0RaJmtjt9gxlQmMWADZt2oQHHngACxcuhMvlgsvl0uWub7zxRtx8880ZWU2ynd6JnjATCQ2kK6+8EpMmTYJSSmfNIA0FSBsGDPY1DEMjXzabDS+99BI8Hg969eqVgVZIA4QUHKL1FosFb775Jn75y18iGAzqbA5WqxV+vx/RaBSnnHIKHnnkEQwePBinnXYa/vrXv+IPf/gD/t//+3+48sor0bFjRyQSCZSUlEAphSeffBKvvvoqNmzYoNeDUgqDBw/GU089BZ/Ph5kzZ+Lpp5/G9773Pdx111144IEHUFpaih/+8IfIycmBw+GAx+PJ2BCXLFmC66+/HieddBJeeeWVRpUdma3l/vvvx5133gmPx4P58+fjpptuwrx58/DRRx/h5ptvxnnnnYdZs2bB7XbD4XBoIzEnJwderxfBYBCTJ0/WSFkgENAehkQigTvvvBO33nprsyoFH601R72SzQCTc6EpQ/zr6txDifQEUbJl7zBXCZb6jugkPycPlXyNVVuZ9UJ6aMyGG40owzAygvNlgF62rCBEYA+20R6OvuSY8ifXlfQcyWeT7xHll5lWlFJ6DrP9NMp54KHnIRKJwO1267aa+6+peST7iwcdphk2Z0ti+l/puQGgMwsRUZaAhxm047PLPuLBW3rBiGrL+SWRc/aPOQaCwbOstpxKpbTXk89knsdch2yPzL5iPszwWeShiq+ZpbUP0UqpRt6ib7pYDMthi8fL5sFpDsjc5MWO9v+hQ4eqcePGKQBq1apVyu/3K0oqlVL19fX692QyqX9vDYH4J6W+vl7F43GVTCZVIpFQ0WhU1dfXqw8//FCNGDFCXXDBBfqZEomEisViSimlHnjgAeVwOJTFYlEdO3ZUAFT//v2VUkoFg0EVCASUUkolk0kViUSUUko988wzqlOnTspisaiioiLldDpVp06dVNeuXZXX61U2m00BUBdccIG+H/tItuFoSiqVUolEQq1du1bt3bs3Y9z4O/9urbFsjqRSKRWJRFQgEGg09rFYTAUCAVVdXa3Ky8tVZWWl8vv9qrS0VH33u99Vn3/+uVJKqXg8ru6//37lcrlUYWGhcjgcyuVyKafTqdxutyorK1Ner1fl5uYqi8WiLBaLcrlcKi8vTwFQJSUlau7cuUoppaLRqIrH4yoajapkMqnefvtt1aVLF1VTU6MSiYSKx+NKKaUikYiaPn26mj17tm5LRUWFGj9+vOrQoYNKJBIZ7Uwmk6qqqkolEgkVDAbVtm3bVCQSUbt27VJnn322mjNnjgqFQqqqqkrV1NQopZQaMmSIAqAcDofKzc1VAFRubq6yWq3KZrOpnJwc5XK5VE5OjsrJyVE+n0/ZbDY1cuRItXTpUt2/SqXndGFhofrVr36l4vG4uu2229Rvf/vbjOfkfRcvXqz69eunzj77bLVy5Ur9fn19vbrrrrtUWVmZeuGFF/Q8kvNp0aJFqqSkRAWDQfXmm28qn8+nrr/+epVMJlUymVSpVEpVVVWp73//+6qwsFC99NJLSqn0WqyqqlJVVVUqFoupqqoqtWvXLlVeXq727NmjKioq2sS6ao6wz80/I5GIWrJkiaqqqmr03tGUpnQuJR6Pq2AwqGKxmIrFYvqZ//Wvf6nu3bsrwzDU3XffrZRqaE8ymVTxeFzr7dWrV6vx48crp9OpPB6PysvLU3a7XblcLnXnnXfqe4VCoazPU19fr/x+v/L7/XoNHimROlL+TCaTasuWLWr79u0Z7/H3cDis6uvrM15nu6LRqH6tvr5eBYNBdfnll6vhw4er999/X+vvaDSq9zKl0jrx17/+tXI6naqgoEB5PB7lcrmUy+VSDodD2e12BUCNHTtWrVmzRimlVG1trUqlUioajapAIKCCwaCqr69XiURChcNhFQwG9d7Kn7FYTPn9fhUKhZRS6TkQCAT0d/bt26fC4bDe+7LN5379+qkrrrhCVVdXZ8wL2hR1dXUqGAxqHbR8+XI1ZMgQdeaZZ6qNGzcqpdLzYf/+/SoYDOq+8vv9qrKyUl1zzTV6Ptntdt32q666Sj93KBRSNTU1KhQKqfr6en1/8/hS9u7dq1avXq3i8fgh18XhEvlM5nt6vV4FQDmdTpWfn68KCwtVfn6+MgxDnXXWWVo/19fXqz/+8Y/KYrGonj17KpfLpTwej3rsscdUKpVS27ZtU5MnT1ZWq1V17txZ9erVSxmGobZu3aqUSuvfYDCootGonnMcp8rKSjVlyhS1cOFC9cknn6hhw4bpfTMvL0/dcMMN2mbk2jTvf2Y5nH3L9cl7JhIJlUgk9Jz/73//qwCocePGqaFDh6Zvf4j/367j0dcQi8WiUUulVMbpf926daiqqspAUfhez549cfbZZ2PRokWoqKhAjx49MGbMGABoSGHldOrvJZNJ9OjRA+PGjcP8+fNRWVmJ/v37Y+jQoQCg0dNgMAiv14v58+dj9OjRjfJQt8vBRaJxkjtOYYpHwzA0mks0JRgMwm63o0+fPgDSKMjevXvRsWNHjBgxQiOtRHBYLGvDhg1YtWoVysrK9Oei0Sjy8vLQtWu6bJ+kciilkJ+fj9zcXDz66KM466yzMGbMGI0o2Ww2vPfee7BarSgqKsKOHTvw5ZdfIhqN4te//rWuPKaUQp8+fTB06FB4vV7Y7XZ069YNhmGgpKQERUVFKC4u1lx0w0jzb08//XT06NEDXq8Xa9aswWeffYbS0lLk5+dj/fr1GDRoEDp27IiVK1di3759+MEPfoCdO3eiX79+KCsrw/79+zF//nzs3r0bS5YsQW5uLhYsWACr1Yply5Zh586dGs0vLS3FOeecA7/fj0cffRQbNmxAOBzG8uXLsX79etTV1cFiseDdd9/Fnj178PTTTyOZTOKSSy7BggULsGnTJsRiMWzbtg02mw2zZs3Ctm3boJTCp59+ikceeQQ+nw+pVErzz8877zxUVlbi1VdfRSgU0gGlRMmUUrj00ksBADU1NUdwdrYLkElD4bwE0uvvtddew7p163Dqqaeib9++2LdvH5544gmceeaZGDBggEZu/X4/Fi5ciFWrVqF79+4oKirSGVYMw4DL5UIkEsFnn32GYcOGNcotTQ8mkBnY1RZF0hyp21j/gHUR4Et/NicnB36/H0uXLsWKFSsQj8fx4YcfIhQK6QJ45GSb88fX1NTA5/Nh9OjRUErpdcNUvtFoFCeddJKO4WB+enUAaScyT92rDqDOzC/v8XiQm5ur6S+k5JAvT9440JB9yGKxoKqqCm+99Raqq6vhcDiwbt06HH/88RleEUnPcTqdCAaDePfdd1FRUYEVK1Zg+fLlOOmkkzRNhjE6HHPuFXPnzgUAnHvuudrbkp+fD4slnaP/ueeew9ChQzF06FCN/JvpqW1FpDdGUkHq6upwzjnnaK/E/PnzEY1GMXr0aDidTgwZMgSFhYUA0v3SrVs3dOzYEVu3bkVxcTHGjBmDE088UXt6R44ciYqKCixfvhwAMHDgQF1RnXUr2L+0tUgt2rBhA3JycjBy5EhMmTIFdXV1mgI6bNgwAA0eGu7d2Txyx4w0x3pv7f/HCmLOEx1PRvX19WrJkiWqV69eavDgwUqp9GlJInhKKVVXV6cmT56scnNz1e9//3t9+t+/f7+qqanJQP4qKytVfX29CofD6he/+IXq2LGjmjFjhkokEioQCGgUt7y8XD377LNq3LhxGjExt+FoSltHzNnH0WhUpVIpFYvFMsY+FAo1GkeOLQA1depUFYlE9Fy44YYb1C9/+UsVDoeV3+9Xe/bsUcFgUIXDYVVZWalSqZT6y1/+orxerzr33HNVRUWFCofDqq6uTvn9fhWLxTRaToQqlUqpxYsXq5NOOknZbDZ1+eWXq23btulnmTVrljIMQzmdTmWz2ZTP51Mej0c5HA7ldDqV0+lUAJRhGOqiiy5SFRUVGZ4fpdKIzoUXXqief/553c5wOKzi8bjy+/0ajXrssceU3W5XP/7xj9W9996rfD6fevbZZ1Vtba2aNGmSys/PV0qlUVmu2Y8//lj17t1bewg6dOigXC6XAqCfi0j8yJEj1caNG9XGjRuV1WpVAJTNZlO9evVS3bt3V3a7XeXl5en3AKhOnTqpcDispk6dqiwWiwKg7Ha7Ki4u1t4JHED5ASi3260AKK/Xq/7617+q8vJydfHFFyur1aqsVqtyu93K4/Go4uJi7c3gepcIVluXbwJizueKx+ONnvGjjz5SnTt3ViNHjlRbt27VutLn86m77747w3u4bds2NX78eHXCCSeoDz/8UHuMamtrVSAQUNFoVN13331q+vTpGuWUzxOJRFQsFtMIGMWsG1pTDoWYE3Xk69Ql1FehUEhVVFSoHTt26HalUim1adMmdfPNN6uCggK9rnr27Knee+89lUqlNJIt7xeNRtVtt92mbr75ZlVVVZWxj9EDHI1GtW4lUhwIBFQ4HNb9xv2M+oUe49raWj1+RM6JovI5qHPp5eK4rV69WqOp9Cpfdtll2iu9Z88eVVdXpz0JSim1Y8cONWHCBGWz2bS+mDBhgtqxY4f2OlCol2tqapTb7VaPPfaYqqioUOXl5Wr37t36GZ9//nnldrvVJZdcor8vPQNsmxwzytFAzPkMyWQy457bt29XVVVVKplMqp07d6pRo0apgoIC9dprr2kvVjwez0Cn77//fgVAXXfdddoD6vf7dT8sXbpUnXTSSapr167qrbfeUrFYTHu2JBtBqQbUe+PGjWrIkCHqnXfe0a+/+eabqnv37mr8+PHa+0EPipxDTUk7Yv4NEaUaKq5RcnJy4PP5kEgksHbtWrz11lsYM2YMPB4PlGqI3PZ6vSgoKIDD4dAc12g0qiPViR6QW8xTN1EGn88Hi8UCl8uFVCoFt9sNt9uNHj16YP/+/TrTQls7ibdlkagXERmZG558f3Ja3W43du7cibfffhszZszAaaedlpH6jQGI5IB7PB6NkJCr7nK59PiTv8n3WFgrFovhww8/RCAQwJQpU5BMJlFVVYWJEyfC5/Nh9uzZuOiii3DGGWcgkUjg+OOPx5lnnomSkhLs2rULH3/8MaqqqnDFFVegpqZGV14dOnQoPB6PDoBUSuHDDz/E0qVLcfzxx2PcuHE6iwODrjweD/x+P+bNm4fdu3dj+vTpuOCCC/Cvf/1LI0k+nw/XXnstunTpgpdffhkXXXSRRsL27NmDnTt34oorrsCuXbuwZMkSDB48GH379sVnn32GgoICdO7cGW+++SZ27dqF6upq9O3bFz/60Y/QoUMHrFmzBq+++iq6deuG4447Dhs2bMApp5yCSZMmoby8HKlUCrt378a2bduQSqUwadIk5OTkYNGiRbjsssvw/9n77vioqrT/750+k0kmk0oSqkRaEJEa6WBEMMjqWvAFXV/FdW1rQ111EV0sK5ZdBbGwyA8UWSz4WlBRmiICSq+SUCIJIW2S6X3mnt8f4Tk59zKhCSHu+vDJh2TKveee8vTn+1RUVODrr79Gly5d0L9/f2zevBmhUAjFxcXc61NdXY14PI7HH38cTqeTQzdu3LgR33//Pc+1bU3dPv8bSMxrJk9abW0tvvzyS2zbtg0jRozA4MGDkZOTA71ej2HDhqGmpgaVlZV49dVXcd999/E84bKyMtTW1iI1NZV734EmNBez2YzKysqmiKfgNSQ+wFhT0THJgtZKogeU8qqTkpIUxZThcBgpKSno168fIpEIXC4Xli1bhkAgoChAFXOuKXfabDZDr9dzb6nFYmm2RkHd8VfMpdZoNPD7/TwfXKwhYaypHovWKRQKKdCoKJpJHmmr1YrRo0ejoKAAVqsVr7/+Ot8/AHjURUTpMZvNGDlyJNq2bYvDhw9jzZo13OtP46IIBBVlyrLM63OysrKO6Vgdj8fh9/vhcrkUytbpInScbaK5Vo/JYrHwNc7KykJ6ejqHjiW5RkhGoVCI7w2NRoP09HTuDRc917m5udBoNEhNTUWHDh0UYwCgaDzm9Xqxdu1abNy4EUOHDsX555/PdSqbzYZQKMRrtkwmE0dZau1IWidDvynmJ0kisyOFKxaLwe/3o127digrK8O8efPQu3dvrpTR9+rr6+HxeHiIBmjc9BS+o1BRKBTi4TDGGEfUoHQEv9/Pi3EkSUJycjLsdjsMBkOrFhStkUTGz8O8AhHD8fl8PLWhtLQU06dPx44dO5CVlQWn0wm73Q5Zbuz06vf7FQaS1+sF0KjUS5IEn88HoFEgNDQ0IDc3lxsFlKIUCAQwd+5clJaW4rzzzuOff+ONN7Bq1SrccsstiEajGD58OOLxOG666SZMmzYNAHD48GFcf/318Pv9ePXVV9HQ0MANOxJubrcbFosFsixj8eLFWLhwIZ555hnk5OQgFAohFArBarVyrPSvvvoK99xzD0aNGoV33nkHqamp+PjjjxEIBFBZWYlYLIaxY8ciIyMD1157LTp06IABAwbw82GxWPDaa69h/vz5+PrrrzFkyBD8/e9/x7Rp01BQUIDx48fj+uuvx6ZNm+D1emGz2fDKK6/AYDDgX//6F1auXInhw4ejb9+++Otf/4qioiL85S9/4XO8ZcsWaLVadOvWDTNmzEAwGMSYMWPw0ksv4auvvsKaNWswfPhwzJo1C9OnT4dWq8Wjjz4KrVaLw4cPw+fzITc3F1OnTlVA0b311lv46aeflAW5v3HLFiVSZig0XVZWhieeeAIWi4X3ASBlbeTIkbjwwgsxbdo0PPzww7jvvvs4ylF6ejoCgQC8Xi88Hg/i8TiSk5P5PZKSkpCent6EyiKQWsk9WRzzliSxYFBMzSPlUq/XK+AKgUZFOysrC9dddx2uu+46BINBXHPNNdi1axd3NJAiSykdpDyTDBSJHAtarRaBQAB6vZ5Dn/r9fu5comtR8W4gEOBIZyLiCd2X5jkej3OlDADnLURerxdpaWmYNm0ajEYj4vE43n33XbjdboRCIdhsNiQlJSmKMoPBIGw2G26//XYYjUb8+OOP2LdvX1NaB5oMEuq3QDCKdrudwx/S/FNKSzweh91uR1pamgKhhZR8er7WQvSM6jGRbIvFYvB4PBx1jtCwSEcRUayCwcaGXCJkpOiccrlcCkOO7kvyl+aTYHQXLFiAdevW4eWXX0aHDh34+judTkQiEfj9fl7sLUmSwvH0a6bWw11aOUUiEUSjUc6cDh06hM8/S3BnOQAAIABJREFU/xyHDx/Gtddeiy5dumDv3r2K/D7yUBBzVG9AYgAGg0FRGQ80VZITyoBGo+FWIV1Lq9UiFAr95jE/DRIFLUGGiSTLMhcYdOhJiZ8xYwZ0Oh1CoRCuueYaDB06FFarFcnJydBoNHj33XexatUqHvno2bMnbr75ZqSmpioQeGg/6fV6blyFQiHU1dXB4/HAaDRyXG4AGDBgAB544AFUV1djypQpAMBzoAHwHHFigna7XcFsSThoNBoEAgHOSBcvXoz9+/fD7/fDZDKhoKAAf/jDH/D888+juroajz32GAYOHMgFbSAQAGMMHo+HM8oePXpg0qRJmDdvHr777jvcdtttSEtLg1arhdFoRFJSElJSUhQY6CTwKCpBQi0UCuGVV17Bzz//jMcffxxFRUUwm81wu92oqanBk08+iUmTJqFr164c0jAej3PBK0kSbDYbbDabwnNDeaWkXEWjUVitVhw5cgT//ve/cdNNN/F9kZKSglAohJSUFAD4TTFvYRKVBVLogEbBbjAYOCKQiGQlKkJ+vx9JSUnIy8vDHXfcgVAoxOsl6Nrbtm3DggULEAqFMHHiREUuMRHViqihBInHtwYiJUT02NIzUtSAlG2KBpCXmWSUz+fjSj3lbdPzEoQo5XUbDAb4fD4eYSP5RgoxKb80DvJgkkJPkUG9Xq/IG6c5Vcsz4gt0f7EeSHSwMMb4ZwjVRVSc6XlEOR6Pxzm/JMeZaBCQvCaZSz9OpxNOp1NhbITDYaSmpkKv16OhoUExp+J6tDYS8erFaBEpyDSPpNOIxoUkSbzPBAB4PB5FUy7Cdad9FolEeESCMYZgMMhlBK037SubzYaGhgYcOXIEABRGGp1JMpREWS563X+t1OpFDW0I0QI6F0yRCljokHs8Hrz44ouIRqP4/vvvMWzYMNx+++3cO0pKnE6n4+kNYuEHMRJiVHq9nhejWK1WRQhPHINo2YbDYQSDQUQikVanlIsQV/S3SPT6uRJw1PCGlDp18Sx50pKTk7F3717MmzcPn332GTweD3JycrBhwwYsWbIEOp0OAwcOhMVi4TBjaWlp6Nq1KxhrhN/Lzs6GLMvcuqfwq0ajweLFi/Htt9/iqquuwujRo7kBGA6HObyfJEnweDzo1KkTpk+fjm3btmHNmjUYMGAA+vbti2AwyBtZkHcRAPcgECwZYaIDjREbgifMzMzEwIEDsXfvXrz55pv44osvMHToUHTt2hWBQABVVVWoq6uD1+tFcnIyrrvuOnTv3h19+/blZ8LlcsHtdiM3N5crzORV8fl8/LloHlwuFzSaRuxpu92O5ORkpKSkoLKyEvfffz8GDx6M7Oxs/Pzzz/jpp58wYcIETJs2Dfv378fKlSsxY8YMaLVaTJ8+HcnJyfD7/WhoaOBM3ePxcC+pyEOCwSA3CtLS0mA0GmGxWOD3+zF58mQUFhbi1ltv5UaNzWbjaWn4lUZIxfOlPo9i2kJrI7FjrKgc0GsECRgMBrnyQ82zqLFUUlISbr75Zv69e+65ByUlJbBYLMjIyEDPnj0xcOBA9O/fnyukIn50MBjk8HgAuGF9rpVykbeSg4deE4vW/X4/D/EbDAa+h0nZBRrnMhwOc4NGNDz8fr8Cx5xSQ1JSUmAymfDRRx9h/vz58Hq96NmzJ/7xj3/AYrFw450MANpfxIdERZrWleaUnFQEikCF7rRPGWMcfpH2r16vP6apltvtBtBkhOh0Ou71JYNLkhpx041GIwKBAAKBAJxOJx+LXq/nhom499566y0UFhbyudTr9bDZbHj00Ufhcrnw0ksvobCwkOsLpD+IBkhrIgK3gPHY1xlj3EAhx08kEkEgEEBqaio33sg4Iz5Pe4V6aND1yGCh/SHKK5LL7777LlauXInCwkJMnjwZF198sQKCmmCBaVzEo2mfHy+ipU5XOxOUKL3tlxjwrV4xpwVUK+ctTTqdDlarlR9oq9WKtLQ0eL1ebjnb7XZUVVXxvHMAik0nhsjI4y1JErciyWNqtVq5547SJJxOJ1wuF893DQaDqK6uRrdu3XjueWsUrq2ZyNPBQ9PCaSAMZKPRiPr6eqxevRolJSVgjOGBBx7AokWL8OWXXyIcDisQWHQ6HcaOHYsxY8YoGnxQsx8xd1Ov1+Pbb7/FnDlzkJOTg6KiIpSVlSE9PZ17vz0eD1es6YD37NkTvXv35k1RyNtAuLyE2UteCVJsKFdWp9Ohvr4eFRUV0Ol0uPTSS3HjjTeipqYGy5cvR01NDfx+P/7whz9AkiTcfPPN2L17N8aNGwfGGAYNGoQhQ4YocgeDwSAWLVqEzz//HBdffDEAcIUcUOYQklejvr4eDocD0WgUFosFOp0OXq8XXq8Xd999N9auXYsxY8Zg69atKC4uRigUQn5+PjIzM7F+/XosXboUf//737lwpvFEIhGuVEQiEdTU1MDj8cDn8yE9PZ2fubKyMtTX1yMnJwfdu3fHE088gU2bNuGSSy5BZWUlGGOorKxEdnb2r9oD0xoVgRMReVzJkCXPY5cuXQAABw4cQP/+/fnZ1Wg0cLvdqKio4HtNVOJMJhPi8ThWrlyJPXv2QKvVYsKECRg/fjw6derElVdJkhSKOSklomJ5LpUr9X3V+cHqXGHRGSQSyRZSYhhjvEETIWLQ9YGmpkWkgIRCIRw5cgTfffcdPvvsMwCAw+EA0GhQxWIx7gTQ6XQ4ePAgl5sGg4FHysjQIacTRb5IeSaFi/gonWuXy4WUlBSYzWaEw2FkZWUpcuoBcG8qzQMpxuTJJ+cIPStFL8XICHlzgUbveV1dHQwGA2655RYATfKd6MUXX0SfPn3w3HPPISUl5Zi9eKK1PRfU3H1FXUVtjIppZvQ7Gcpk9KnTkkjnIQOKnI70OVE+LVu2DIsWLcI///lPTJw4kae2iGtK36F9SYow/a9+FvGMnA0S70Fzcrr3+lUo5sC577ZHB5AsdQA8ZJOamopOnTrhiiuuwCOPPILhw4fjtttu44yJGAF5JRJ5ECi8I7Z+pjy2hQsXYv369TCbzXzTeb1etG/fHlOmTEFubu6vTvCe6/HGj7arJ8+S2sImRiPLMgoKCvDCCy/gww8/xGuvvcYFCYXhKLIhhiop700M4cXjcZ5rSfuJBIDFYkEoFMITTzyByy67DMOHD0eHDh3w448/ck8ACSlSsiklgxRSUlCIeYnNjMgjotVq8f7772PevHlYu3Yt78wpGo50TdErZTQaeV6u2FqaxkBFeJSXSM9IoVCDwYBIJIL6+npotVpkZGTgmWeewb///W9s2bIF2dnZkCQJHTt2xKOPPsq9XLFYDBs2bMDVV1+NaDTKczdzcnIwY8YMBAIBhceKDCoS5KFQCB988AFqa2uxc+dOPPTQQ2hoaMDbb7+Nt956C+Xl5ZBlGX/5y1+4oXDTTTfxcPrVV1+N2267DZMmTWqprXlW6Fzzz9MhMYoVj8dRUFCAp556CuvWrcOjjz6KYcOG4ZFHHoEkSVi2bBmef/55rF27lj8reUjpvGg0Gjz33HOoq6uDRqPBzz//jLvvvhvFxcW48847+edEryGlOYgpDmLTnXNJzXnMRR4kGpSiQkNKg9jwh4q5SW75fD6FZ5J4YjQaxSuvvIKSkhJ069YNc+fORXZ2NiorK/HHP/4RU6dORX5+vmKs9913H2prazkvIL5Az0AKXX19PT799FN4vV5Mnz4dJSUl3Bkl8lSCZvT7/WjTpg0eeugh9O3bl/Md8qqK80S575SDrO6ISmALoiJKc0t8l4ohxbokMmxIUfX7/YrOn6KSJjrq1Ot4rojGp3Y+eL1evhdo75D+IRbqktFM76uNQXI6UkqomKZLa0HyxO/3w263c/4rNhQToYSJv5MOBjRlFND36OyKz0njPd5cnO7ZFs8j3ec/VjFvLaT2ktBmCAQC2LhxIzIzMxGPx/HZZ58hEolg0qRJXJERD6UYVqffSXmKRCIc0YU2ciwWQ0VFBbdAKUzk8/mQlZWFwsLCY6rCWzM1F/loaQ+UmDNHh10kSidhrBFLfMSIEYjH4/jwww/h9XoVbaPFdaGUkoqKCq50p6WlISsrizMWg8EAi8WCPXv2QK/Xo2vXrkhPT0ckEsHhw4cxatQoDBo0CAB46gV5gSVJ4h6JhoYG1NfXc+Z04MABBAIBxONx1NTUcLxzn8/Hc7yTkpJQXl6OzZs381AkeSrI004ChjzxZIRs374dOTk5MBqNsNlsOHDgABwOB9q0aYPKykoAwObNm9GuXTtebGaxWFBWVgan04nc3Fzk5+cjHA6jbdu28Pl8+PHHHxEIBJCdnY1wOIykpCSMHDkSwWAQBw4cQL9+/VBRUYFt27ZxhBqtVotXXnkFEydO5Pf1+/3YsWMHtFotOnXqhHA4DJvNhoEDB6KsrAxbt26Fw+Hg4zp06BD27NkDoNE4rqioQOfOnRGJRFBaWsrRKUpLS+FwOH71fQJO5C06GaHV0kTCn86WxWLB6NGjkZycjA8//BDLly/HFVdcgby8PGzevBnbt2/ndQPqHHU6P+PGjeMphkuWLMHixYuxatUqXHPNNcjKyjrm+YkHix5c4s3ngk51fZrrIi12rhRzhok3AeBeb+JvJGc6duwIv9+Pbdu24corr8QNN9wAxhqLPJ977jlcfvnlyM3N5Y4kjUaDffv24dChQ9wDTakhBoMBRqOROy5cLhd3YO3atQu7d++GzWbj+eCUjmexWFBbWwuXy4Xu3bvD7XYrkGOAJiWSiP4mfklKNymRpJgTnyaZTYo+GWbxeJzzZdHL7nA4UFBQgB49evAiSLoGrUFznvNzmRHQXKSd9jtwLEa+6JAS95dowAFNnaupzoCcTDTXdG1aN4PBgPr6ei4X27RpA0CZKkKOItKbaP+SNz4cDnOFnuhsO3gTrd8vueevWjFvSWWODj1ZYaTE7Nu3D1OnTsXLL7+MiooKSJKE9PR0jnxB46T0BWIalM9IHkpiGLTJ4/E46urqeMj19ttvh8/n49+TZZm3U/+1KOUiJVq7llxP8vpSqFuWZaCpyJ+nsRAzCIfD3BpXCzNKIaEUpNmzZ+ODDz7gXpMhQ4bgqaeeQkZGBkfZCQaDuPvuu3HBBRdgzpw56NOnDzQaDV588UV06dJFEUI2Go2KXEWgkeG99957mD17NqxWK08POXjwIAKBAMaPH8+FXSQSwZVXXomHH34YsizjhhtuQNeuXfHmm29i1apVCAaDkCQJgUAASUlJ3PBgjPEc67Vr1+KGG26A0WjEo48+irFjx2Lp0qWYOXMmzwUNBoN4+OGHsWbNGjzxxBPIzs5GUlISrrrqKowcORKvv/46+vfvj6SkJIwePRr5+fkoKyvDjBkzFGkvO3bswLRp05Ceno4nn3yS12i4XC7MnDkTa9as4UYQIU5UVlZi8uTJGDx4MO666y5kZmaiX79+mD59Ok/reeutt+BwOGC32/HEE09g+PDhuPfee1FXV4f/+7//g8fj4Q1nPvvsM8ybNw/z589Hjx49WmRPni36tfEGQMkL6Ax6vV6YzWb06dMHs2fPxo8//oh77rkH8Xgco0aNwvz58zFv3jwsW7aMN+4ymUz87Pr9ft5gCwBGjRqFjIwMfPXVV/joo4/wpz/96ZjIGZ1htQHfGtKDEqWviF5wimYpFISjQxYLK0kpCgaDcLvdPLefitkpXYjysYcPH45PP/0UWq0Wffr0UYAT/OUvf8HcuXOxZs0aTJkyBZ06dYLX68WsWbP4+pGxFQwGeU1AKBQC0KjY5eXlIRwOY8aMGbwgnXiuumkMobMUFBQgGAzy60tSE9ACfUdEL6N0NspzptRC0fNL3xXngIjSWmkvlZSU4Mknn8S9996LIUOGIC8vTxFRpFShREaS2mg+Fwo6Y40IK6IMTE5OVtS4iYXP6vRiei4yXET5SPn/QJPeYzQaeQM8UdE2m8147733kJOTg/nz5yMzM5PvGwDcUy5mIFD0BICiHoKei8Yh/q9+9jOR5pJoHennVOlXoZg3FxpoSS8PIaAYjUbs378f27ZtQ05ODjp27IhoNIqqqiq4XC4AjZ4escCFwjQiGQwGXp1Of4uMg2CnAKB3794YNGiQIpxEv9OmElMaWjslWjfKQ1O/fjaJ1ifR4SFlk8ZkNBrhcrm4oKdOdJQ2otE0In54vV6sWLECP/zwA/Ly8hCNRrFu3ToOMeV2u7llv3r1avTr1w+DBw/myv2ll14KoGmOqJiYvE8UniZGWlNTA5/Pd0zIvb6+nhsdsVgMPp+Pe75ycnIwbtw4rF69GsuXL+d7kxgc4asfOnQIlZWVGDp0KPbv3w+fz4ddu3Zh7969GDt2LGfAtbW13MvucrngcDgUaDd1dXXo2LEjiouLOWNu3749OnTogCFDhuCDDz7A7t27eSHu4cOHsXTpUvTq1QtvvPEGD2NLkoQ1a9Zg48aN8Pv9AJQ5nlScOmLECMRiMWRmZuKSSy7h5+L777/nikhycjLatGmDoUOH4vDhw+jYsSPatGnDz1ZlZSXmzJmD8ePHN63Hr0i/FYVnotcTCaxzHVJXkzg2MUdVp9Nh+PDh0Gq1WLBgASKRCAoKCnD55Zdjx44d+OKLL3gfCEo9EQsHqWaDuhNu374du3btAnCs95CUDRqLqHS0NJ1oTRPxzebWlZRNUeGlgj61QivOP9DYzbpz586K6BqleowaNQozZszAjh07cPPNN6NTp04IBAIoKiri96bri0aEmrRaLcaMGZMQmlKtGNIzBINBRaRE9MpS+oV6nkQvsPi3unCPDBdSIqm2h6Jvq1atwr59+zBz5kxkZmbyIvRE6UbqZ1HT6Spzv4QS3Y+8z+JnRL5Bc0Q82GAwcOOGzhFFXEUjW4xU0DWoCFSn02Hbtm2w2Wzo378/tFotnE4nP7diWiYp9XRd8Xex2yrQFDlKRCLKyy+ZP9qPZyJNqdUr5upNKj60qKCebWWODjljDBMmTMD27duxfPlyjBgxgm/Sb7/9Fi+++CIkScLq1avRo0cP5OXl8VCN2AyB8LHJ8qbPUN6VLDfBTFErYWI+hDFtNBp5SPXXVPipPuBielBLrScRKb1qorxlMYXJZDIp0kJIeacCTcIhl2UZOTk5WLNmDTIzMzFs2DB4vV7k5ORg/PjxSEtLw9atWzF06FB0796dhwQpb5zy44gZkTdJo2mEOaTc74ceeggPPvggH7PX68X//M//oLS0FPv27QNwbEEKFaAC4JCJBAlIe7SyshI7duzAlClT0KZNGzzwwAMYM2YMAOC1117Dzz//DEmScOONN2LMmDHo0aMHGGPIz8/HJ598goKCAkiShHXr1qGmpgZLly5FWloavvrqKwDgDbZsNhuqqqpQX18Po9HIBXxpaSlGjx4Nm82GTz75BIWFhdBoNPjhhx8QDAYxaNAgnH/++QAaI1cejwdpaWl46aWX0L9/f+zfvx8lJSXciCHPTGlpKcaNGwefz4err74aK1euxHfffYfCwkIUFRXhpptuwpgxY5CZmcmNH6JwOPyrQmURcfnF9afwdCIv0bn2AIskKl2kvCUlJXH+KEkSLr74Yo67TWOntD9KO/B6vdizZw8ikQh69uwJr9ergD8VnSfBYLCR5wqsVPR4il7BczFXopwAmjyY9CO+Tv+L6RiSJPEmauQtFnN0SaESFVi6J3mOtVotDhw4AEmScN5550GW5aYGbUeJvMh0fjIzM3l9C11ffF8kuq+YA69GHaNxiQWp5JUVc7tJforpFuTRBZrqB0SlKpFSHo/H4fV6FbjlkUgE+/btw4YNGzB//nykpKRgyZIlPIpN80rjFBVD2tdigSQ5ZsT1bCkiJTmRHEy0z8UoMj0nGWa0pwiOlpRygkw0m808ukuv0Vy73W6UlJTAaDSiW7dufE4oaiuuIxkBIo8gRxR56SkyI+LmJ1LAyVAnr/4vOdvkIBUN4tPhF61GMafJoqIK9Qalg6q2Rpp77WyMj7wwKSkpHOdYtJIGDBjAw6l33nknrrnmGjzzzDO8y2d6ejq3DGtra5Gbm8sxrImIidLv4v8ajYZXrBODoc3fGkKrRKIXn5rnEBNSeyea8/KcaxK9RaLlTaFTEvrV1dU8v5GaapCiTYUs0WgUbrcbvXv3xttvv423334bt956K5YuXcqbCEmSBJfLxfNcRSQWMtiARg+6z+fjMGYk7Ij5EZ4uhfoo5YOYA13P6XTC6/UqPGTEOCsrK3HHHXdg3bp1OHDgAO6++26MHz8ezz77rAKH/eWXX8bnn3+OWbNmYejQodyjQQyUOpzec8898Hg8PCxtMBg4LJvRaMThw4fRu3dvdOzYET///DOWLFmCF198EaWlpXjwwQfx+9//Hp06dcLf/vY3TJw4EQsWLEBmZiYCgQA0msYucg0NDbj33nuRlJTEMc/NZjNSUlIQjUbhcDjg8Xhw7bXX8nmzWq2oqqoCADz44IN49tlnsWbNGsydO5fDJZJAiEQirVoxFz1/pBCI6y1G2MTIlKjQtTai8ZFhSl5PUo7ojFJvB5FfEg+prKzEs88+i/r6ejz99NMYMGAAV+DEfhBUmNyuXTvFGKihCoXMRei3s0FqT7B6XdW1TuLrRCQPyMNLCncoFOKKOTl+6Lt6vZ7n0dO+oRoV2j+SJMHr9eL999+HLMt45JFH+HdFhZr4PJHYGEikRB5G0etJf1OePynd9ENOC3JkicoVAKSkpECn08HhcPDfaS/RfiGlVFSkRDxsMlKo6ZrP5+NY3VOnTsXWrVsxffp0jBkzBna7nXvKRTx30WgRZSAZyjQ34po2ty/OBtF1/X4/YE38HtC0r2gPUhSBlHEaJ0FSqo0PIlKiRa86pWbOnDkTw4cPx3XXXccdU3Rd6lMhKrx0hgOBAEc+kySJ61wmk4mnTYXDYW4YiMhLZrOZQxknMk5EEo0DWj81Cg2dNzHSe6rr12oUczFUKSrhooKkfjA1zjd95hdZm8IeEq9DRQ2UJy5JEs8jJyZGRSk5OTnYv38/ysvLAYAra36/nx/6jIwMRUWy2+3G2rVrUVhYyDcHCSEx14vGIFZ30xj4eDXHjr8lSbRgRcEgrqHIYIlERUh8ja551inB2oueG0mSYLfb8c4772DlypW8WJf2qNgAqq6uDh999BGHzCLkk127duHbb79FSUkJOnfuDLfbja+//hqdO3dGt27dADTltYoeMPJCUadDwr+nYmHGGIcHFMN3Yp0D5ZDTa9RldvXq1cjNzcWBAwdw8OBB6PV65OTkYODAgcjNzcXAgQNRVVWFhQsXorKyEpdccgmCwSAqKyuxfft2vPfeeygtLYXH48HixYvx+9//Hv369YPJZILFYoHdbkeHDh3gdDo5JJssN8KVuVwu1NXVKXLae/fujd69eyMzMxN9+/ZFdXU1GGPo378/xzeXJIkbKyT42rRpg7y8PAV+M0GXZmVlYffu3dy7Y7PZ4Ha78dlnn/EC67Vr12L//v2YN28eSktLIUkS5s+fj0GDBqF9+/bH7I3WQInOh1gApz5zoqIlEvGQlg6hA0h47oiHiF5L4p3V1dXYvHkzUlNT0b9/fxiNRpSUlGDLli2QZRkTJ05UnJ3t27fjyJEjXAmlyFBNTQ3WrFmDmpoarrAfMzQhFE/XFOETzxYlihKra4noWdRRRjG1gDyGIkoJoEQSof8pnZI80vR9Go8kNaZxVFRUAIDCMLJYLIjFYvj0009x0UUXoX379sjKylIUEKqfTf1/IhKNSJJxtIepoJeMNFKC6dkItcNsNisQuLxeL2KxWJOSdnQM1HyMZCztBxEi02KxoLq6GitWrIBWq0VhYSGGDx+OjIwMztOqqqqwbds2ZGdno6CggDtFSJETKdGa0v2ONx9nktSGFBFFHAkNy2Aw8PQcMphoPUhuUydQwv4Xnad0/qjbq1ar5fJSq9WitrYWJSUlKCoq4k2s6BqiziMaxrR+FotFcd94PI4vv/wSvXr14g5QAIoGSSKRAk9npTkSz5hoIIj7SORbp5si02oUcyIx7CNaRyKJoVh16OkXCxeh2F5t6dLmEDcZTTrlnYnMwWw2803v8Xg4ljIA2Gw2hTHyww8/4JFHHsG6deu4N0BUaAHw5kNiSkJycrKCeYrPoGYCLUU0XnUBDaDEc1UbWur1FF9vEYVBWHtiouQJJ2+M3W7HHXfcwb2/6enpHKmEwrV0+KdPn46kpCRcdNFFsNvt2LZtG26++WaeZhIOh/H666/jtddew/3334/evXtzbF/GmrrYkaAUU4CsVitXTIk5ii2fxfBuPN7YTZO8CBqNBikpKUhLS4Ner8fixYvx1VdfIR6Pw+PxID8/H7NmzUI0GkVWVhbmz5+P119/HY8++iguueQSFBUV8Zx6AJg9ezbsdjv8fj9eeOEF/PDDD5gzZw6//3PPPYeuXbvC7/crDDKr1YqDBw/itttuw4EDB+B0OtGrVy/e1bRTp05YtGgRZs6cifLycrz//vtITk6Gy+XiQpCM4szMTDz77LMoKiri+8fpdHL0IkmS8Le//Q2BQEDRXGn+/PlYsmQJv151dTXuuOMOzmwpXeiuu+7ie+NcnavmSG3sAjhGWaPf1UJfnSd6TigBz1WHp2VZ5sbthg0b8PDDD6NPnz74xz/+gTZt2mD58uWYMWMGbrzxRjz99NO83oC651L3WRHq8Msvv8SUKVMwePBgPPbYY7BYLI28VKWfU1RTFMpncw8kcl6IPFB8X/Rm07xR6gcpI4wxRVQWUCo3gUBAobhTPQzQhE5F0S+tVsv7d4j5wUBjV9ZZs2bhn//8J4qLiwGAF0iKvJ2+p/ZUJyIxTUIN20joO4ASC5sU4YaGBgQCAYUCTuecFEixQJbQeqgbqTgGGqtOp4PNZsODDz6IF198ERMmTGhqTHV0HCtXrsTf//53DBkyBC+88AJPFQSa8pnVDihxbRMp5mK01ynPAAAgAElEQVQq7Zkmej7qME1EKZUUTaH8cap9AxoVWoKtJEciFXbSGoudP51OJ49akCJP76WnpwNoTMlkjMHtdiMlJYWj25FjR1x3QiEj5V30Tk+ePBlPP/00brrpJp52SnxFTeQsOlENiRjNovMnIh+JUS3g9OsFWo1insiDmojEEB8dKHETiyGSX0rq63o8HpSUlGDXrl1wu92YM2cOPB4P+vXrh/T0dNTV1WHFihV4//33EYvFsHPnTrzzzjtwOBzYtWsXotEoVq5cyUM04XCYw0WtWLECP/30EwCguroay5Ytw6pVqxCPx/Hxxx9j/PjxyM/P589OXgExRKKeu3MZoibmqT4EaiEjKpLiJlY/09kK4zVHdFDF+Y1Go3A6nRg2bBj27duH/fv3c+MKABoaGmAymXDZZZdx40qj0SA/Px+LFi2C1+vFhRdeCLfbjcrKSuj1evh8Phw+fJgXhUqSpAjZESOhcB8JFq1Wq2hvDzTlVJI3QvQykreImCTVKYTDYXTo0AFDhw5FVVUVVqxYAQDIzc3l0FVr167FkSNHMGTIEK6UR6NRjBw5kocJKyoqsHHjRnTr1g2DBg1CSkoKIpEIgsEgbzhks9n4uEjQ9ezZE5mZmdi/fz/q6+shSRI6duwIAKitrcWqVavgcDig0Wjw6aeforCwEJ07d+Ydbyl/PCUlBd26deOGq06nQ1paGlcEdDodsrKyeJfIYcOG8fUMh8Ow2+2KgsGtW7di69atuOqqq3Deeec1iwd9rinR+W/OQSGeMTFNQvTwtPQ5U5M4t5TWp0aziEaj2L9/PyoqKtC1a1d06NABBw4cwKBBgzB06FCe00zh7z/96U/Yvn07VqxYgS1btnBP3d69e3HxxRejqKiIKyVqA0WMPACJ0yfPNDWX3iEKe1FBENNZKJJGDgJAmRNMGO2SJMHn82HTpk348ccfAQB79uyBw+HAhx9+yHP1J02axIEM6Br9+/fHqlWr8MYbbyjSilwuFy6//HL07NlT0amT0vLE51F7iZsjSoUEwNeInp2ig5SSU1FRge+++w41NTVITk5GQ0MDtm/fjjfffBMmkwlGoxEXX3wxevXqpYjYff/996isrMS2bdtQU1MDWZYxd+5cWK1WXHDBBbj44ouh0+l4fUMsFuNecwAcmjYtLQ2BQAArV65ESUkJ2rVrdwxsnyj3mjujaseUSGeL9yTaz4wxzJo1iwMf7Nu3D3V1dVi6dCnKy8uRl5eH4uJijqxjNpsxePBg1NfXIxgM4rXXXlMgr0QiETQ0NGD48OFo164d0tPTkZycjPLycqxfvx5VVVW4/fbbMWrUKF5cS3uYMQaz2Yyamhp8+eWX+Pjjj1FdXQ2tVotFixYhGAzytCY63/X19YpUEsWcC49LxpwafjER0bqIyji9Lv6uPqOnSq1GMacJoYOo9kg0l/qQiIGdKRIPgUaj4VjOv/vd72AwGOBwOLB+/Xp06dIFmZmZqKysxNq1a5Geno577rkHGo0Gy5cvh16vx9ixYzF+/Hh4PB6sX7+ePy8VJKSmpuKmm26CJDViJ2/btg39+/dHUVERjhw5gsOHDyM/P5/nu5IHn5SOROHVc6VAiBtRlmWe3yXCGJFBJa6Z6JkQmdap5medqWcghZaiIO3atcOkSZPwzDPPoLS0FB988AGcTicef/xxRKNRFBQUIBKJ4JZbbsGtt97KBdJf//pXXmS4cOFCVFRU4J133sHTTz+NlStXIikpCVar9ZgueAA4qgpFUGRZxoYNG/Ddd9/xQjZSQKqrq7F3714+JgCKPMlYLIYpU6YgKysLsiyjT58+uP/++3Hdddehf//+YIxhzpw5cLvdyMrKwty5c7F+/XoOR/fcc8/xMel0Olx77bW49tprIcsynE4nLrroIsydOxd9+vTh59jv9+Oxxx6D3W6H1+vlAjIYDPKUn02bNiE5OZkL3iNHjmDJkiX46aef4PF4MG7cOLRp0wYLFizAsmXLUFBQgLFjx+LCCy9EdXU17HY79u7di9dffx3t27eH3+9XeEbIe7N06VJcf/31AIAbbrgBN9xwA2fC7777Lm688UYAwMKFC2Gz2VBYWIjZs2cDAEeBAVqXYt4cNSdciO+IiByJDOhzRWIKChmi9D/Bl/br1w9PPfUUjhw5gtraWhw6dAjXXnstxo4dy3kHKagZGRl44IEHUFdXhwULFmD9+vW8FuKKK67AP/7xD2i1Wng8Hq4MiB5zMRUjUTre2SB1tLC5+6gVc1GmiB0sE6UAECJYfX09jhw5goaGBowbNw4mkwlOpxObNm1CNBrFhAkTYLFY4HQ64Xa7odPpUFxcjOTkZCxYsICnhDgcDnTo0AGvvvoqQqEQhxMmBUb0dKvPz/EUF0I4I4QQ4mcUTSbjn/LHa2pqeGfXBx98EIFAAKWlpQgGg7BYLEhPT8cFF1zADW2v14uSkhJs374dBoMBd955JwDg559/RigUQmpqKncskPffZDJh8uTJiEQi+OqrrzivISMyOTkZd9xxB0aMGMG95aFQSKHMES9XO6LEtRTpZB2Xp0PkhAqFQoo6GpPJhN27d/Oc+ksuuQSXXXYZAGDjxo0IhUKor6+H1WrlhdnFxcUoLi7G0qVLsXDhQq7bUGpht27d8MorryAjIwMejwdarRaff/45/vznP2Ps2LH4/PPPATTKLXJQ0R6miHBJSQl0Oh2mTJmCUCiEzz//nBsGVDsSiUQwdepUFBYWKhriRaPRxlRhYRrJeKT5PRlemCgNS+xTQ04x6ix+ypTIi9LSP3379mXDhw9nANj27duZ0+lksVhM8SPLMiOSZZn/HY/HWTQaZZFIhP9Eo9HT/oHwT3w9FosxxhgLh8MsHA4zj8fDgsGgYkx1dXXM7XYzv9/PIpEIY4zx/+PxOAuHwywQCDCPx8Nfi8fjLBQKMVmWmcPhYF6vl4VCIRaJRJgsyywajbJwOKz43e12s4aGBubz+fh1xOdONP6W/qHn2rVrFysvL2ehUOiY90WiNY3H43zNaV3D4XCLjFlc+3A4zGKxGAsEAiwSibB4PM6CwSDz+/18zJFIhN1///0MAHvkkUcYY4w5nU7+HIwxtn79etarVy+2fv16voei0ShjjSeaAWAajYa98cYbjDHGfD4f3zOMMfbFF1+wvLw8tmfPHr5Hnn/+eZaUlMT0ej2zWq0MADMajcxsNvNrSpLEtFot/5vuU19fzxhjLBQK8ecLBoP8PAWDQRYOhxljjGVkZLChQ4ey8vJyPuZAIMBCoRAfa0NDA2OMsaqqKta+fXu2YsUKPvZly5ax8847j9lsNmYymRgAlp6ezjp06MDS0tIUY+vSpQv75ptvGGOMvffee8xqtbLBgwez2tpaxV655ZZbmMlkYi+//DKTZZnt3LmTDR48mGk0Gma1WpnZbFY8t1arZUajkVksFgaAzZw5k68BzfOePXtYt27d2LZt29iyZctYZmYmu/TSS9mRI0eY1+vl57w1nCv1j8jzYrEYi8fjnFfQvqW1DYfD7Mcff+R7NBqNsmAw2OLn7Hjnjl4LhUKcZ9bW1rKqqiq+brFYjLndbuZwOJjH42Eej4fvWeKHdXV1LBAIsHg8zvx+P3O73SwSibBAIMBcLhfns/R5h8PBqqurmc/nU4yH9judXcYYi8Viv1jONPcTDocTrqcsy5wvijzz4MGDrLy8XLHm0WiUf97r9TKv18u/R89FMoiuQ2efZJH4nF6vl1VWVvI5FYn2H8mlQCCg+H4gEGB1dXUKWR6JRLiMIz7f3I8o+wOBAF83ei0UCrG6ujq+liQ3aVzi5/x+P3M4HMzv97NgMMjvL8rcYDDI5al6jD6fj48/EAhw3skYY263m5WXlzO3283nPxgM8jn1+/0sEAhwuSLKO1G3qa2tZXv27GGxWOyYc3G2zic9U11dneKejDFWX1/PZZ44J9FolO+FWCzGwuEwc7lczOl0cn4dDocVv9P4aT3cbjdjjLG33nqLGY1GduWVV3L55PF4WFVVFV/XaDTKz3JNTQ2rrKzk+yAajbKKigp+PVort9vN55fuTTxRfE7xbIk89UQ/NCaRSKejfeNyudiWLVsYADZy5EjWt2/fxmN4gh+JnYab/UxTv379WHJyMtasWYNdu3ahXbt23HumziFrjpgqlHC6pJGE/EumzAGjMZA1RPeJHs0xI8QVsvKayw0UQfIp/KhOyaH3RKIUBbLIyLqjsdF96BnE8bckibmYBw8ehN1uR0ZGBoDmseebW78zsaYnS+La/0a/UXN0rs5VImrufBCDF3PNY7EYdu3ahc6dO/OiYcodFb/X0pSI59JzUY4xY4x7TWOxmCJvl0hMkeLQhwDH5mfs2CY1xK/FGgyDvikfOxpTIoHQNRJ1Cz4TJPJFur7IM9Xjr6iogE6nQ05OjiJtC2jqGiwWMtJcMyjRedSRS/He5Jkm4IPo0ZxvUTaL6CJAE9wsRddonsWxNycLRBLlgogyI0I6RiIRRSfTRLKFXld/Xn0Pkrtq+UtjpcZViYieUSRxTcRUikRRA8qLdzgc6NKlCyTBrctw4kLZX0KS1IhkYjY1PZvM5IRzRL/T81LaGABei6FO6xAjYdSvgtDCtm/fjpUrV+L8889HcXExR0kKBAKw2Wx8fOJ+U+8d8eyLYyVYUDX0sTi3sXiMfzeR3nUqRNen6wQCAZSVlaFnz54YOXIkPB4PNm3adMKwR6tJZaEwgNjZEGh8UAoRUViAwmHEpE6miOR0SKGoiVOpVb1mSPCeuLbqZdCpPpMocpJobxiaeV9S/X+OSWRQtC5U7UzrLBo5ABKuJ3D2GJHIqFuDcfob/bpIFAyicFAXrNOeTgQbdibHQaFa8TxRvjwpRMQ/KY2FzqKohLVUekZz9zvGONaA50UDUHQmPIZEPirqTvR9CcfyWvrbhIRwmMS3SC5RilYip0uiFBe1QnOiORbXgopM1Y4XEdmIUkSIx5IBJssy75VBvFWWZZ6mI0FKLGOAxK+Lc2NI8Dm1JkG2Hs19Ihl3MltN/IxaH04kfxNdU1K9bkjwPpFG9b/6M8dD02tOjquv2dwYASDt6I+KToQWciaIwAaIqM9F9GgtEtUauFwupKSk8PxvMnZILxNBMKhbeWZmJk878nq9PH/c5XIhPz8fvXv3PuZsEFIKOTwBZREsIQn5fD6eGklQxkQ+n4+jcxFAhxq60+/38wJx4OR0DhqD+HkaP2NNaZRqfnyy1GoUc7K0Dh06hGg0yuGXSJhQHrXYZIEWR22h/SLqfgYeppXQ3r17z9m9SXBUVFQgMzOTd54khAUx/1FU1M/4ejZDaiEaj8exG7tR0KPgrNzvN/rPob179yoUM5Eh86iVpqn7IClGZ0PpVXtyiUTvMBUAh8NhHDx4kOd9qpXMs2WknvC6rZjnHjx4kPMn8npGhR4DJIDFuRc9o6KMIjrRHNNakDIt1rkATYo5Ywzl5eVcgYkehXtTKwMi3F9rnuvfqHnat2/fL/bmnogCgQDQt+lva9JRlBYdlAZJhuqLBiR2TuoB2IXXjUd/UlXfJTqe8aRV/S+SFcfgr3NSGzkJNN79+/dDo9HwqNrJRnCIx6r5PvEKvV6PYDCIqqoqRSTrZKjVKOb0cB6PhxfCUdW1qJhTCgcJvUTX+SX0Te03GDF8xC+6Rmugb779BrWoPSf3JqHFGIPL5eIFiuTVESulRY9QooK1s+nNTqT8f/PtNwpoLBE6jL5DxSTUeIRCbm63GxqNBm3btoXVakUwGEQwGITRaOQdXh0OBzcuKdwrKnck6Cl8L0kSkpOTUV9fD51Oxyvgg8EgAPAQnTiv4XCYh2upQ1r0KHoKY4w34aFGRQaDAXl5eYhGoygvL+dwihkZGaiurobD4YBWq0VWVhbv2skY40WVBEd2+PBhpKSkcFi1QCDAi2pSUlJgNBrh8XhQX1+PUCiEtLQ0GI1GPk7qakreoVgshrq6OpjNZt5Bt76+nsMu2u12ZGVlwefzIRKJIBQKQaNpbARG3hmC+yKv5+HDhxGPx2Gz2WCz2Xi3Vq1Wy9eIipWtVisaGhoQDoc5nJjVakV1sJrvcVF5UnuCRS/n2dzLakFC+0iMQOl0Ot4l1e12gzGmmLPj8dQzPT41tVaeu2r1KngtXh6qJ8g+kkliSgTxMTE6cjopeWIkT/xb9JaKxeEej4fv1UgkwmWmVqtFUlISh57j9/5NMf/V0Xdrv4ODORSNs84k0d7yer1n/Nq/BiJ+KGL4N0fqSLtYdE3fJ0eIwWDgKTnAqRWLtxrFnEJyvXv3Rm5uriInMB6PK5S7RLlfIv3SzUv5XM2NUxTKkiTB6XRyRYExxvGliTnHj3aUImWMIJ5OJXQcPYrYIcLo0bMmzK0bfvrPfyapvLwcVquVd1IUscHFOTyR4DobDKm5HMeogGSi9lCIqDgAFLmKRCS46ZCK+XXnn3++QmkTkWgS7Qd12g81XaCGCoASbYEUejVusfjMau8uzUEwGETv3r25YPf7/ejWrZsiN0/0EpB3gAysCy644JhxEnwVMaiOHTsqMIWpIp6xJtx2el29PoFAgIfm6VnENRLzXNUd+Ag7t1evXvyZxfQqykMUPdw0r4lyUNXzSb+L4000xrNN4hjUYyU+RDnmIi8CEte1nKkxJTrfinlS8VzRWKXP0bkUv0dngM4UERkcZPhSw5xEpH5uMg51g3QcHo88Xs0hiqj3h7juah53sqT2xCUaa3Z2Ns8xJ4VCTPUUjUdAWR8hjkc80yJfpnGoI4wUASXIVvLWm0wmRTSU1kX9ffU+Fd9XpwYkmjfSF8R9Tp+LxWIIBAK8DoHWT8xxjx5F5hGNHJoH+qw4FnIOiuuq5tfkaFGvYXOpTep5ABohd10uF+8IHYlEoB98rIw5kyRGeMKRMH9WdUfxk9VXxD1K36H9RTUKiZCgyFmQCJpW1LuApl4CxLfJeUK8jMZBCH+kKFPet/hZeXjiuoITkVpXUfMlkqnUyI9qEU+GWoViLj5gKBTisES0kOLmPd5ktASRcADAPZMiZmw4HIYkSYpOjerDS3lTpKgSk6ENJuZ6iYeCAP8lqan9elJS0ikp+C1BIjMjrHYiNS5wIm9fS41RZO4EuUUeXKCp2QkJ9URCWPyd1lUUAJQHSgo6MQtxfwONhU3RaBQpKSnHFCCJ60uCL5FSTmMg611UoslIEOddraCrcdGTkpK4BzkajfL0BwAKBYk8iqL3n5pCUKqSTqdDamqqYqw095RDSGdBq9XyiACNga6vFpxkBJGXghRrStGgs6RuPkHrT3NFRPMp4sDTORUVM9GoIqKohSgcxLSCliDx/CQSjmKqAzUMUX/+bI5J/RrtF/FsqdPZ6HO0XqLCTUqEWvklIUxEn1cbXKSw0hwRTxdTkejs0OfpPpSWR2Hw5p6ZImSJOoue7rwRkQIM4BhFh55fXXSppkTOLvHvROOgAkhxPcTPknFA1xPXW12kqpYF4jmlNQfAeSbQ1PFRvSb0PkHniQog7TOCXaQ9ojY8RD5JJI41kZEhKuviPCYykNX3E78TP9oMTjRCRT59Ns6ouE4UWRR5Oy8cPvo5r9eLpKQk/h0xMkeZDiQHE91HXBcqzqR7076hBooU7VRfS9Qj6Pyp08nodbGpGADesZ3Gfzpz2pwTRlxX8XnF5z8ZahWKuSRJfBOKLcWbo+Y8nWebaDFposnTRtXFXq+Xe/dpY4hFOqLVSBuaPA1UaU7MSPQGiM9Kig55GUXPUmshcXOqBabasyUeypYkmn+OwJCU4EMkR0lvoyIiY4LPqovUxNc1qr9Jb1MXNpmFz4j/0+e0SJxjJ15bLI5LVOymJnVhFKDkCjrV34l0C7EwTFJ9/mQLzGic9F3xPsfjUur36Dpq0A715yQkLPZLeK3mvn/0/Vg8pqh/ofNIWM6nqpCdCp2Mo4I+Q3yIDB1RaTied/JMjlXkZ6JnVHxNrTAn8uKSgSgWi4u8Ri0ERYVRJPouXY+xJhQT8u6RUiamq4iF7HRfWmfunZab2pXTtU+kCJysbBOdH80pis1dQx21ONk1F7+njtwCSmX5eNek9RVBAhLJMtoPNL9kvJMhQHtZ3Cucrx9NjaM0LvG+4udpHGrvsPp51c+ldp6Ic6+eV5EnnGhNxPNBehH9fbaI7i16pcVULfFzdE7UDgdS4EnnER1E4nOTZxsAR/ohA5ucL+I8iHNB/JQK2sV5F+soSM8Svys+ZyL+cKqUaJ+IvFTcF8QnTmUNW4ViDjRZ/uJEHm/yxM1OdDYVdtoolJtLXn2CdSRPuMlkUkAhUm682HBBrHQmuDI65GLjAbXQoKpi8grSplczkNZCdJDVldRqEg9Oc4zxTK+pJEkwGU+kmf1Gv9GJSafVwR/2Q5Zl7jkNh8O8qYjam3om6VTPBSmW6shJSwh+USki7xoJctFrR84K4gcUJaLGOWKjGTE6QYqFCKWnHkdzzykKTxqTeo5E7yBjjbUVIkABeVtlWebQfiQPTnae1e8fj7+rFf5ECnqi6x/PeFO/n+i64utqRZU+J66z2qgSU/PEaKQY3aPPkBImSRKXsSJcIgBFehvdhyK1tBZarZbvFYPBwGWqGEERn0Ucpzi/ajmmTrlrbm4TedcTkWigiN89m843uj7tU9GRSEXjXFZqcKxzRqt67XjOoOZYofo7idCXEmeiNZHgwCKoR3VEBWh+T5+usq5ef9EwAJQIgydLrUYxJ0rETNW/N7dRz7jypmgPJbyRqAJYj4QwR5COvqfezDo077FTb1Lxu4kOhmo/HS9HvqVIZLAi1rqaxDU72+vZUtf+jf77iLzlRKR0HA9f+UyT2pAVlSf6W8x/Pp4SdiZJVMxEjPBmIfTUKA9E9FoiaEN1JEtK8Lv60cS/m1MYDMf/jKxrUl5o/iiiKio8ZJT8khzW5qg5hfBU1rK5z57M6wmhF4/3t3T07+aiXc0RoXoQJZKriSCI1Xsp0b2PEsOxckoto05VTiXy2Db3GfV7iXLZzxaJhghFJWRZ/lU6sDSSBgyJoxRnw8kHKL38tG6nmwnwW0eV/0CSEgKl/kYiiYUY0VgUDAzRWBSBYACRaAQyk1H2cxlGjByBgp4FWPLRErg9bkRjUYQjYcTiMchMRjgSxu49uzFx0kS8u+hdxXXichwMDJFoBE6XE4FggN+LgUFv0AMScH6X89GxU0fk5uWifYf26NqtKy7qcxHad2iPtPQ05OTmoEPHDsjNy0V6Rjqy22QjIzMDliQL5v2/eQhHwmBgcNQ7cNP/3gRLkgW5ebnodF4nft0UWwrSM9IRDAURl+OIxqL42/S/oXuP7lj83mJcXnw5cvNy8dXXX0FmMh+7zGR4vB6EI2E+L/T9q6+5GnqDHv9e/G/+3PS8MpP59yPRCGY8PwM6vQ533X0Xf4/ep++GwiGEI2F8v+57FF1ahDY5bZDXNg95bfNgT7Pj/C7n4/U3XuffaXA28N+3btuKTud1Qv75+di2fRti8Rgi0Qi/RzQWRVyO45FHH4Et1QZbqg15bfNwfpfzkX9+PtIz0mFPs+PmW27GwbKDfHxmixl3//lufh169lhcWblP6DckfMlz25zA/W8ixhrrY7Salk1Xawki3HXyjFMUgPaD6FltqTqDlqT/NFnzn/Y8p0KUtdBczcJv1HLU6jzmrZHIA03Qb5TGQsKWcG1F65axJnQWMXycKJdNJOqURiHARJ+VZZkXR1AqDWPst86Vp0Bi7pwsywgEAjycbTab4XQ6UVxcjKeeegpjx44F0FTwVFhYiD59+uCZZ56B1WpFjx498Pbbb2PixImYNm0aZs+ejdGjRyu8pqmpqXwt58yZg8cffxwHDx5EcnIyPB4PjyzQ/ohEIjCZTNxr4fF4oNPpYDabEQqF4PV6EQgEkJ2dzZssRCIRTJ8+Hc8++yy2bNmC++67DykpKXj55ZfRvXt3VFRUcA+uy+XCgQMHcOTIEUhSEzQk7XFJkuBwOCBJEodo1Gg0eO211/DAAw8gOzsb1dXViEaj+N///V/86U9/Qr9+/fDmm29Cq9XixhtvxLp165CZmQmTyQS/3w+NRoN//etfmD9/PgwGA9xuNzp37ox//vOfKC4u5vmUgUAAmzZtQn5+PubPn4+CggLccccdmDNnDsrKyrjyK85pZWUl4vE4rFYrzGYzzwH2+/089B0KhXDPPffg3nvvhUajQUlJCW6//XbU1NSgtLSUp59QESx5QF599VUsWrSI5x37fL7GjeNu2k8bN25E3759+b4ixQxQosX8t5KYcgIA/oCfF4hRQbRYAE+oOpSvCkBRcObxeCDLMux2O89bpb2gLvQ9EYm5x5RySAXBYsGh6PkUeW0gEOB7hs68xWLhig09W6Kiwv8kOl6kVpZl+P1+1NfXw263w2az8dziaDQKs9nM14vWUyxeVSOeqGsjKH2AUqFkWUZSUhLPY49Go/D5fLBarZzPi/CXOu1/7/kUo2dicbiYmkckMxkOhwPp6enHGJoET0vXJM87RRMpBY3OOaFg0f3ou1OnToXZbMYjjzyi0IPofPr9fjDGYLfbebSKiv2Trclne7pahP57d+MpEhWdAOBQh59++inKysogSRKv9NXpdOjSpQsKCws51BYhB2g0GqxatQo//fQTgKb8uXg8jvbt22PEiBHQ6/XYt28fNm/ejEAgwA8MKf6xWAzhcBg1NTUwGo0YNmwYLrzwwkbB8J/L8884Mcb4fJEwJ4zu1atXY926dRgxYgSGDBnClWGgUfD+8MMPyMnJUQhfrVaLoqIiuN1ufP3116ipqcHo0aPRpk0bvnfKysqwevVqrF27Fr169ULbtm1RWVmJlStXAlBikjPGuGLOGIPP5+N4xRdeeCF69OjBn0Wsb8jJyQHQyCQNBgOSk5MxYMAAmEwmZGZmcsZot9uRlpYGt9uNjz/+GGVlZQiFQli2bJ1y348AACAASURBVBlXcq+88krY7XauVIXDYXTs2BEajQbl5eW48MIL0a9fPwSDQTidTnTp0gUWiwWMMQ6d2LZtW5jNZuzYsQNbtmxBTk4O+vXrB4PBgKqqKmRkZMBqtSqUKEKBSUtLQ35+PgCgY8eOxxT8iDl9aWlpPM+XxkCoI1TlL0kSsrOz+Tm2Wq3IzMyEy+VCWloaF/6yLKOsrAzff/89Jk2axM8c3ZuU8yVYwtcgOTmZ145QTQWlcv0nekpPhahYXZ1+IhZy7du3D8uWLUP//v0xcuRILtjVDXLI4WEymXgerNFoxJ49e7Bhwwb07NkTAwYMAKBM52lOSSeFnKD+APBiQEmS8OabbypSUch4xYNN1xC7/KkL2NT53y2VltDaSJIa0ZcIVQwAd1oAwEcffQSHw4Hx48cjJSUF5eXl2LlzJ9xuN3dwkRFH8pS6UU6ePBkaTVMzJTKC58+fj/r6euj1evTr1w+DBg3iOeXqOob/ZlLvTbHOLRQKKc6tx+PB8uXLEQqFoNfr4fP5kJubi0svvRR6vR5btmzB9u3bEYvFkJycjMrKSgDAfffdx9ePzlYoFOJ9JqLRKPbt24etW7ciHA7D6XTizTff5J08Q6EQioqK0K5dO752hOhCPPk/ysMvFhucq5++ffuyESNGMABsx44dzOPxMCJZllk0GuW/x+Nx/vvZJopnM8ZYNBplkUiEBQIBxhhjhw8fZsXFxUyj0TBJkpjZbGZarZYZDAZ22223MYfDwRhjLBQKsXA4zBhjLBAIsD/84Q9Mq9Uyo9HILBYLMxqNTJIkdvXVV7OKigrGGGOzZs1idrudaTQalpmZyZKTk1lSUhKzWq1Mr9czvV7PNBoNA8CuuuoqduTIEcV4acznkmRZZrFYjO3Zs4dVV1fzdWOMKX6XZblF1lJNkUiEz5V4f5/Px4qLi5nNZmOMMRYMBvmaM9Y4do1Gw6688krmcrkYY03Pyhhje/bsYYMHD2Z5eXls6dKlTJZlVldXxxhj7JNPPmFpaWls5MiRrLS0lMXjcTZt2jQmSRIDwJKTk5nFYmF6vZ4lJSWx5ORkZjAYWFJSErPb7UySJKbVatmdd97JwuEwH3ckEuHj8Pl8LBQKsS1btrDzzjuPXXDBBaykpISPXXyOxx57jAFgkiSxlJQUBoAZjUam1WoZAP49moeamhrm8/nYXXfdxfR6PZs6dSqrq6tjDQ0NrKGhgVVVVTGfz8ei0Sjzer3M6XSyQ4cOMb/fz5544gkGgN16663M5/Mxxhirqanh70ejURYOh1kkEmGfffYZs9vtbPjw4ay+vp6FQiE2ffp0ZjKZ2MMPP3wMD4jH42zbtm2sc+fOrHv37mznzp0sHo/zz8Xjceb3+/k6RqNRFo1GWUNDAyssLGTZ2dmK+YnFYmzx4sXMbDazkpISvkfdbjfzeDwsFAoxj8ejOG/xeJyFQiHm8/mYy+ViDQ0NzOVyMa/Xy/nX2SYaJ82L+v9gMMg2bNjA6uvrj3lP/fuZHldDQ4Nivogn0rmZM2cOS0tLY3/84x/590KhEPP7/Xx/h8Nh5vf7mdvt5s8ZDAZZPB5nzz//POvcuTN74YUXGGPKMyHeR02xWIyFw2Hm9XqPGXNNTQ0DwNLT01lWVhazWq38vIjPEgwGOZ+gvUxyi8Yn3u9U5k3NH8V1i8fj7MCBA+zQoUMnfc0zTacic2geSCbG43EmyzJzOp1s6NChLDc3l3399deMMca++OIL1q9fPwaAabVaZjKZmMFgYHq9nul0OqbX65lWq2WdOnVioVCIxWIxha7AGGPt2rVjAJhOp2MPPfSQYizRaJR5PB7mcrmY3+9vEdmZaD3pdaLq6mq2a9cuvn/V75/NsUWjUT6P8XicRaNR5nK5FHPz008/sauvvpqZTCZmNBoZAHbZZZexvXv3MlmW2RtvvMHS0tIYAJaZmckAsOzsbAXPlmWZhcNh5vF4+HmQZZnNnj2bdevWjT3zzDPsscce47qRzWZjJpOJffTRRywQCHD+7fF4WENDA4vH43zc50IHomeiZ4nFYnw8oVCIbd68mQFgI0aMYH379mXsJHTi3zzmJ0lkVRoMBixduhQ7duxA27ZtMWHCBG75Hzx4EBs2bIDT6VTgVMuyjFWrVmHnzp2wWCyYMGECGGOwWCwoKyvDqlWrUF1dzS14r9cLp9OJ7OxsFBUVISUlBe+88w58Ph/69u2LXr16ISkpCbt27cKePXt46O63ioGTp0RFp2SJFxUVcc+zmLJUV1eHjz/+GH/+858hyzJeeuklXHrppRg6dCj3inbv3h2/+93vsG/fPmRnZwMAD9umpaXhiiuuQP/+/ZGfnw/GGIYMGYLJkyfzbpTk/RZhpyRJgtVqhd/vRzAYxMiRI/m4ac8AgN/vx7Jly7Bjxw7U1dXB6XQiGAziX//6F3JzcyFJEm6//Xbs3r0bq1atQjAYxAMPPACXy4UvvvgC8XgchYWFyMnJQSAQgF6v55BWkUgEFosFRqORN6dJTU1FRkZTf2axwI1SrFJTU7Fw4UJEIhE8+eSTGDt2LA+PZmZm8mcQCyWBphztYDCItLQ03lTJbDYjGAxi7dq1WLt2LcxmM6xWKyoqKhAIBBAIBPDGG28gIyMD8XgcRqMRffv2xciRI2EymfDtt99iy5YtiEajcDgcqKysRCgUwvPPP88jFtFoFJWVlbj++uvxzTff4Pvvv4fJZEIwGORd3DQaDXCncj8xlffmN495I5EXTiS9Xo+ZM2fC7XbDYrHgk08+QUNDA08fEvNc6btiyJtwqE0mE5577jm89957OHjwIOrr6/k9gWPRQ+hvcWyUE05IHZFIBN988w127tyJiRMnwmazQZIkeL1ensY4H/P5NcijR6lodB81uof69/8mEnmDRqNBMBhESkoKVqxYgZUrVyI7OxuFhYWcZzLGcODAARiNRowfP57zHBFq2OPxID09nWNY0z6rqanBJ598glGjRvH0B5fLhenTp2P06NEoLCz8z/W0niY1F1VS79f09HSMHj0aS5Y0RgtHjRqFSy+9FCkpKZAkCV26dMEVV1yBL774AnV1dcjPz8e4ceM46hzQtBfonkROpxN79+5FXV0drrzySuzfvx9Lly6F2+1G37590alTJ56WCDT1KqDrMiEK/qunk9Hez/bPr8FjLssyt2JHj/7/7F13fFRV9v++6S2TSQIJkBAwKIQqHUGqCjZAhbWxsgLLoq7wQ9eChVWXRVB3BVfFdS1rwbYrK1YsKIoCggIaBEEgQCBAeqb3mfP7Y3Ju7nsMGJSgIocPn8m8eeW+W8495XvOGUUtWrSgZcuWEREJy9izzz5LDoeDLrroIgoEAqo2X3HFFWS32+mZZ54hIiKPx0NERO+88w4VFBTQgAEDqLy8nIiI/v73v5PL5aLrrruOKioqKJlM0tixY8npdIrrE4kEffbZZ9S7d29h2TxpMT+69sl9FYlEyO12U01NDfn9fgqFQlRfXy8se9FolJYvX055eXlUX19PzzzzDFmtVpo2bZq4n8fjUVmFgsEgeTweikajwpLKVolQKEREJDRrn89HgUCAAoGAsDa73W5xLd83EomorG7RaFQcq6qqonHjxhEA0ul0ZDKZKDMzk5xOp/CwVFdX03333Uc2m43+8pe/iL4/88wzqUWLFvT6668TEZHX66U9e/bQ/v37qba2lqLRqGjDDTfcQHq9nh544AHRjkQiobLyyG10uVw0YcIEYU2MRqMUDofF716vl2pra4VF+8MPP6SCggIaOXIkbd68mYiI7rrrLgJAc+bMIZ/PR7fccouwpmVkZJDD4aCsrCzKzMwknU5HZrNZeLNuvvlm8nq9lEgkaObMmcJDoSgKGY1GcZ/c3FyyWq0EgKZMmUI+n49at25NAMhms5HD4SCLxSL6Uv4XDAYpGAxSJBIRFlN5rh0vq9fP1WKeSCQO4U+FhYUEgCwWixiDu+++W6wH2docj8fFugyHw6r1w94enU5H8+bNU72H1nKebizY4sZzdt++fXThhRdSRkaGuCYej5Pb7RbzVvsu7PHhNoXDYQqHwxSNRsX1R9u/J5LFnMeR+VllZSWFQiEaM2YM2e12evrpp4mIhCdw2bJl5HA4aOjQoXTw4EEiSvGJUCgkrO11dXVUWVlJRCQ8dYlEgt59913Kzs6mXbt2iefefffdpNfr6aabbhJ7eTgcFr//mi3msueR10E0GhVrTO4bXiPFxcXUpUsXWrt27SH3qK6upquvvpr0ej3NmTNHvHM0GiWPx0N+v1/sdfxbLBYTXtUbb7yRiIh2794t5seiRYuIqHE982cikaBgMEg+n48ikchJi/mvjRgrbjQaUVFRgZqaGlGxkLVFxly53W6BiWRLoN/vRyAQEIFMTqcTRCkccX19PTIzM4Xm169fP0yfPh1DhgxBbm4uFEURAW0tWrQQWNj27dtj6tSpyM3N/Sm75hdJiURCRFhwf7JFhqupciyB2+3G008/ja+++gqjRo2Cy+XC4MGDMWPGDOzbtw833ngjLrzwQowYMUJo8HJ5ebbK8H2/+uorvPrqq8IqbbPZBH7ZarUiEomIypdy8BnnxO7duzeGDBkCs9msCo4JhUIoLy8HAPzhD3/AG2+8AbvdjvPOOw87duzAhx9+CJPJhKFDh+Lmm2/G2WefLfrD4XAgHo+jTZs2AFKY6YyMDEQiEfj9fvEe69evh8vlwj333AOPx4MHH3wQF154IYqLi8W9du/ejRdffBEVFRXIyMiAx+PBhg0bcO+998LlcsHj8SAajcLj8aBFixYYP348evfuraqQxs9auHAhsrOz8cEHHwCAsNqfddZZKqtpWVkZli9fjkQigXHjxiE7O5W7NB6PY/DgwaKP/X4/iAjnnXceTjnlFLz//vvCQrNkyRIAwIQJE3DZZZfB4XCgsrISQCrAb9iwYRg+fDjKy8vx7LPPIoHGQmhWq1VYgeRqviRZ5n6tpCgNlWo1xuIpU6bA6/VCURR8/vnnWLNmDYLBoMBpc3xAPB5HOBxWldUGgG3btuGll17Cddddh/feew8lJSUifziTtiKl1koHNGLgGe+u1+uxf/9++Hw+VfszMzOFVV1Lcr5u2XoLNBYB4rlwopMcqyGn4OM91G63w2Qy4YYbbkB2djZmzZqFM888E4C6Qq/RaITJZEJWVhaIGqsJs/DidDrFurLZbNi3bx9ef/11fPfdd7j88svRrl070aaRI0cKD+IXX3yBAQMGIBqNAmgoVnVSEhJ7FxEJz8bhPPFEqTSgLVu2BNDovdXpdGjRogXy8vJgtVpht9tVAb12u114MdhDumXLFrzyyiuoq6vDHXfcgaFDhwIA2rVrJ2oYtGrVSjwzGo2KQpRyEcfvK0z5S6KT07GJxO7Kl19+GRdddBFuvPFGtG/fHkAj4+7duzcef/xxFBYWIhaLwWw2480338TKlSvRrVs3jBs3Dv369RNZGhRFQfv27fHQQw8hMzNTZB0YNGiQmJxMfr9f5MjV6/Xw+XxwOp247rrrAKTcr9+bgP8kCUpXyp6j+FlADIfDWLhwIb7++mu0bdsWY8eOxcUXX4xIJIJTTz0V8+fPx9atW7F06VIsXrwYLpcLffv2RTweRzAYhMVigd1uRzgcFtkagNQm0rFjR5ExJBgMolWrVnC73Zg5cyYmTZqEESNGIBwOIxgMiqDC1157DStWrMDll1+O/v37i8wRSakwlaIoKCgowNy5c/HWW28hJycHjz76KEpKSjB8+HAQpQLqqqursWDBAjz66KNo2bIlvvjiC/h8Pvz5z39Gt27dUF9fD6/Xi0GDBuHKK68UxayWLl2Kl156CRdddBHefvttlJaW4tVXX0XXrl2RmZmJGTNmwGw2Iz8/HyaTScB4iFIVck0mE0wmE2w2GxwOBxwOB1wulygOwxVt4/E4HA4HcnNzccopp2DVqlVQFAVerxcAMGrUKIwcOVKM47fffos1a9aIaP6OHTumzRvt8/nQsmVL3HvvvTj99NNFPy9YsACrV69GXl4enn76aaGUmc1mDBo0CBMnTsSBAweQSCTw1FNPwePxYAmWqO7NGwOvU17nzVlg6JdAPD9lCgaDmD17thBoFy1ahPXr18Pj8QhFRs4PzJCWZDKJHTt24MUXX8SBAweQm5uL++67D61atcKNN96oyicuC8IsjGvzGvM5HPwdj8fhcrkwZ84c7N+/X6VY8bMfeugh4F/q9+P5y1ldeMzlCqW/Bkomk4coQ7wOuR+XLl2KJUuWoG/fvhg9ejROPfVUMV4cxEkNcJVQKISqqiq0bdtW3CsWi8Hr9SIjIwNEqWBgq9WK6upq/PWvf0VWVhY++OADca9YLIYzzzwTgwYNwg033ICPP/4YAwYMEMaYX4OydCRKB/PibCnabEq8jrgyKPNrDsTkoGyGZPLvchILzvQVDAZhMpmwdu1azJs3D6NGjcK7774r+GgoFBL3YoWbIWPyfsdKvFbh/iXTScG8iaQoqZKwb7zxBsaPH4+rrrpKNRH0ej2Ki4vRoUMH6PV6kSLo/fffx7///W/Mnz8fV199NXQ6nWDeiqKgqKgIRUVFghGxVihb2/n5kUhExeBZ4wcghLST1DQiCY/GYwFAhTn8/PPP8cILLyAjIwNz5sxBt27dkEwm4fP5BNMvLi7G7NmzccMNN+Cjjz5Cly5dBCNxuVwAUll83G43wuEwMjIyUFxcjHbt2olnWiwWxGIx1NbWYtasWRg1ahQuvfRSYalmxpOTk4PVq1eLdFO8mbEAaDAYhHJRWlqKrKwsWK1WlJaWYvfu3YIpfvvtt3jxxRcRCATE5pSRkYGcnBwsX75ctamFw2FceeWVQrhu06YN9uzZg5dffllYOzdv3oxNmzahqKgIl156KQYOHIjJkyeLvp49ezaGDh2KO++8E3q9HtXV1QIDzgKbLMhGo1FEIhF07doVN954I1q2bIkDBw5g7dq1qvLZwWAQDocDsVhMZM0RYwsISytbWTkrRF1dHTZu3Ii8vDzYbDZkZGRg69atIuvGpk2b0L9/f7E59erVC6NHj8Ytt9yCF154AZMmTVKtPUBd3U2eQ3KKt18rpRN8LBaLEKgAiCwP7IWUS3UriiIUJZ1Oh7KyMixcuBDdu3fHvHnzAAC1tbWHCL9aC7WM+ZYt6Hwu0JgSd/To0QBScSXs6QKAdevWpfC1kmAuz11us1YpZCz7iUJi75OGVmshlwUyWVn97LPP8Nprr2Hx4sUAAI/HI3D82tSiNptN7G3V1dWIRqNwOp1wuVwiW4/P54PdbodOp4PT6RTH2HvBuHRuDytLnCnmJKWIPT5yNVuj0agq1sRjw3tJOi8QC+xy1hs+n2OW+F6cejY3NxetWrVCXV2d8HaGQiEQkRgjFvI51SKP74nolTwpmDeRWHDW6/Ui5RNbyuXJKQf/EKXKNqcrNsGTVKfTqRgRP4ePcwootuqEQiHodDpkZGQIK468wZ2kppG8SfKmDzRu5sFgEHPmzMHkyZMxcuRIdOvWTQgGHKTJ1oRkMon/+7//w+zZs3Httddi2rRpGDx4sHDtsUCQk5MDAFi9ejVef/11lJaWCuuB0WhEZWUlQqEQ5s+fj9dffx3BYFC4FF999VUxt5jpyX9zakW73Y6DBw/isccew0033YRwOIxbb70VmzdvRm1tLUwmE0aOHIl//vOfiMfjqK+vx7///W+ce+65KCoqwt/+9jdUVVXh+uuvR35+PgoKCgRkJplMYsiQIXjllVfg9/vx9NNP4/PPP8fYsWNx9tlnw+l0oqCgQLxveXk5HnvsMTz55JPo06ePmK+ctlFmruwZ4I3TarUiOztb9DVvvF6vF5FIBGazWeTBNRqNcDqd8Hq9AvLAGwAHjbGAznmM7733XnzyyScYN24c9Ho9/vSnP6GyshJ1dXWYNWuWeK6iKFi+fDm2bduGDRs2IBaLYerUqfjmm29U82nr1q3o2rWrau2ygH4iWXJ+CLESBXvjMYaoMLEwmy7nu1wqHEgJEH6/X+T2TyQSiEQiKuWI7ycrsOzuloM0mWTFXLaqh8NhzJs3D+vWrYPZbEaHDh1w33334Q/4g7iWDSi8Vllg5HtxW/i9TwTi/U0W2liR5T5nKyp7D5YvX46nnnoKVqsVCxYsEDxF5r+yxZaI4HA4kJeXh02bNmHixIlo3bo1pk+fjtGjRwtLLd+f17zFYoHZbFYJgcy7eU3zOhUVe08cme6oSfYw8VxleSMej6v6hucx722ceEJWfmRZR8ZNA2oDoslkwvTp06EoCu6++2707NlTZaHXwmp4XrHAz3IUj2MymTxhJNoT5DWan3giWCwW1Qai1cJ5M2BmwUVhmAnxZJItNbwQ+DfeaFggAtRMj92mbAlkfOvJrCxNJxlXyFhlt9sNt9sNl8uF3bt3o6ysDL1790a3bt1QW1srNHgulsMCg81mQ05ODgwGAz788EP069cPPXr0QG1tLSwWC3Jzc5GZmYloNAqTyYTvvvsOjz76KIxGIywWC3Q6nfCGtGrVCuXl5dizZ4+wzieTSQFl4s0+naWAMc1Ayro0fvx4uN1uPPfcc9i+fbu4rn379mjXrp2w7m7atAmjRo3CkCFDsHjxYkSjUUyYMAFdu3aFXq9HMBgUVq0uXbqgc+fOMBqNWL16NUpKSjBq1ChcddVVom2RSAQ+nw9LlizBggUL8N133yEvLw/fffedsP5z/n6dTgez2azCy3N++MrKSmzatAldu3bFgQMHBHPm8eI1Fg6HsXfvXhQWFkJRFJSXl6OoqEgIYexi5T4CgL1798LpdGL27Nno0KEDpk6dKvLYl5SUiH6MRCLYtGkTKioqYDAY0LZtW6xevVpVfhmAKHjD7yWPy68FW3w44g1cJh5DoJG3spLG84L5pCyAud1u1NbWolu3bujcuTOi0SjC4bAQhBmXrlW02QPEvFb+lMeSj/F6DIfD+O6777B+/XrodDpkZ2ejb9++qndhGAz/LcNwZIFTttr+0on3LVloY28vAGF15b44cOAA1qxZgw0bNuDaa6/FtddeK2AJvKfymmErqclkQm1tLXbs2IH169dj06ZN2LlzJ4YNG4Z+/fqhZcuW4jwWKtmbxjAM9m6yJ5Hbx3zg1174C1B7jXgtslGBc8gzyTBcOYZGloW4EJss6MsQGOaRer0eixcvxoABA/D3v/8dGRkZ8Pv9wmjDUE+2kHMb5U++J/PcE0WiPUFeo/mJ3amRSERYMvl4IBAQ+HBtoA/jjblaFQCxSTATZ5KD/Hw+n7C4A6mqd2zt40UgBzycSG6c40EyQ+ZUac8++yyee+45hEIhFBYW4s9//jPeeustLFq0CBUVFWJMuRJmJBIRlrrs7GxccsklGDNmDN5//30MHToUkUgE3bt3x3//+19RaS6ZTKK+vh7hcBgvvfQSMjIyEAqFYDabRRwDB51lZWXh888/xz333CMK5DCTY+uBNp1cMBiE0+nEk08+CbvdDrPZjOeffx7/+te/8Mgjj6C2thZt2rRRCY2saLByyWkSmbly8Sz52UAj9jc7O1vFpLdt24ZHH30Ub775JmKxGCZMmICMjAzU1dWphHIiQrdu3TB58mQMHjwYAIQFS6/XY82aNbjqqqvQrl07bN68GfF4XAQTMZWVleHhhx/G7t27MXPmTMRiMdx///3o1q0bcnJyRFVVLvbl9/uh0+lw/fXXY+rUqSJodcGCBViwYAFMJhNmzJiBvn37Qq/XY9CgQTjvvPNwyy23wGQywev1oqqqCvfffz+2YqtoR3FxscAYh0IhoZCzQMoY/V8rMX9kCoVCIpiPBXBZOOP5xoJBIpFAWVkZ/vGPf6C6uho33XQTBg8eDJfLJZRbORjwcMI5C4psdZOV21gsJqoT8hp3uVyYMWMGJk+eDJvNhm+//RZ//OMfgTWN78J4VxYMZQWDhQwZPnMikBDMJWJPBpAKWucxr66uxlVXXYWOHTvihRdeEEXD2LMgK2N8z2g0ing8jjVr1uDiiy/GiBEj8PHHH6Ourg4ffPABrrzyStx6660YOXKkSGHJ/JPXWjKZFHsmGyG4nQCEAUyv1wO/7jAQQbIVOh3JRZy4cq82lkCeG3wv2frNChuQMnwEAgEVrDMSicBoNIr4JF6TcpE9hryxpVwrS/3S6aRg3kTiiSPnmWbGb7FYUFFRgYqKCthsNjGRunTpIlx6XDKWBem6ujrU1tYKfByf17lzZyH8yRNNFvgZVyxvOCfp6Ei2mHOf1tbWory8HDU1NbDb7Rg3bhyeeOIJrF27FkajES6XCzqdDjk5OQgEAiKoEwA2btyIGTNmYNSoUdi4cSNKS0sRDodFlhOgkanl5OSgZ8+euOSSS8Tz/X4/fD6f6vxkMomioiKsWrVKWJE5N7c8N2RmyFYop9OJ7777DiaTCdnZ2SgqKhJCA1sCLRaLCLYLhUIiYwlHvMsBmUBq7ttsNrHRsTXj66+/Rvfu3eH3+9G1a1cYDAbs27cPiqLgtNNOE3/z8wOBACwWC/bv348vvvgC5513nugbfh5v1LW1tYjH4/B4PMItzkoJb+ivv/46/H4/Fi5ciHg8junTpyMQCIhqoMy05U2hoKAABQUF2LNnDzweD9o3VDQtKCjAZZddhjZt2sDj8aBTp07o3LkziouLRW77SCSCxYsXqwTzrKwslTDG7ldZ4Py1kracOtCYpUO2hMlKGx8DIPq1trYWr776KvLy8rBw4UK0atVKnM8CmJZYQJBhRfxs2ahhMpkQCoUaLW8N7dbr9bjgggvE95ycHDz//POHvAugrmQJNAbIaS3oJ+pc4DnPvIgFNZ1Oh4MHD+K0005DQUGByDQmV1Rl4wIraS6XC7169cIXX3yBsrIy2O12DB06FDqdDiUlJXjvvfewatUqnHbaaejQoYNYY8w3GCYqQ6N47TP/khW1fykHBgAAIABJREFUk9QolMvxbtq+4TUq/6bte603Nx2cK5lMoqqqCj169EDPnj0PictgZYvnB0M2w+EwHA7HIagDuQbGiUAnBfOjINbiOaiPLQRGoxE7d+7E+PHjUVVVBYPBgLy8PNx5553Cuu1wOISlPBgMorKyEosWLcJ7772HvXv3goiQl5eHr7/+Gnl5eYcED9XV1QlrBE94XggnMrM/HsQb8F//+lf85S9/EX367bffIhKJoFOnTnjzzTdRWFioshbzeOp0Otx2223YsWMHxowZg/nz52P+/Pni3nz/qqoq7Nu3Dx07dsTzzz+PdevWiWwCs2bNwoYNG7B27VpV+jaLxYKHH34YW7ZswUcffYRoNCqsCsy4uE3BYBCZmZmor6/HueeeC4/HI4QiLqTDgTUWiwWJRAIul0t4gVjJY+gVW6DYAszCdHl5OQKBAGpqalBXV4eHHnoIL774Ik455RSR7uqdd95RubYBCCgPC1pTp04VyoPM7HmuX3LJJXj55ZdhNBpx88034x//+IcIEgRSDD4cDot0pbFYDPX19UJ5UBQFTqdTBFvrdDpkZWVBr9fjb3/7G5555hlhoWdFuX///nA4HPjvf/+LiRMnIhQK4Y033sCVV16J/v3749JLL0XHjh0PgWYoSipjABEhKytLpQTwO/9aFWjG/MtZoxwOh8riykoXz0Gv1wu9Xg+bzSZSq+l0qcJVXq8XK1asQHFxsRAidu/eDa/Xiy1btmDlypUYNmyY8Abp9XoRa8DjzWuHLfLsLeKYICbm9ZwdYsCAAdi8eTMUKerRYDCILFyhUEhlUZTx8bIw8UsmHjdt7ITf70dmZqY4h/HcWVlZ2Lp1K55//nmMGjUKAwcOxPXXX48BAwYI7wgX5eNA+TPOOAMrVqxQ3Z953t13341bb70VV155JTp16iTwzjJUiY0PnN2J26uFZpxoltYfSrIwzsIw4/9lkvc/OTCT4ZbsPWVDjAwzYT4PACtWrMDo0aOxc+dO5OfnCyWZC9kpSqqgl6IoyMjIEBZ0zuDF6YQVJZVimA2fJ0pmupOCeROJU2DJGnYsFhOLfsCAAZg1axbuuusu9OrVC/PmzcOQIUMwffp0cT0AETxaVFSEOXPmYMCAAbj11luRm5uL+++/XwQIsubKWMyMjAyYTCaRDYKzTADp8X4n6cikzZggpzXjPmZLMlvHjUYjQqEQLBYL/H4/otGoqHzJwqYssMtBZvF4HJ9++inmzp2LXbt2IT8/Hy1atBDelC1btkCv12PChAlC2AcgXOp1dXUoLy8XEAnGV3OQk8lkgtPpRDweR+vWrfHCCy+o8oK/+uqrmD9/vriupqYGWVlZog9YMLbb7aK6Jh93uVxCCV26dCnmzZsHl8uF0tJSOBwO3H777Rg/fjwSiQRat24t3j0YDAoLP2OBOS7i3nvvRWFhIW655RYUFhYKPKJer4fD4QARob6+XkBz2HXJkB62qrNi4fF4kEwmkZOTA6fTCafTKdqv1+tRX1+PnJwc+Hw+JBIJXHPNNZg4caJqbP7yl7+gpqZGbN7c1jFjxuCMM87A3LlzMWnSJHz11Vfi/jKxtZ8DtGXr0q9VKGfSYnnloDCiVA5+DtZTlFSlW97E3W63EBKcTie++eYbzJw5UwQNulwuVFVVwWg0YtmyZSgtLcVXX32FeDyOzMxMhEIh+Hw+gWVm7wmQEiZ5jvNc8fv9qtoCMvYWaMjAo+G1nDGCBXKte5/vcyIQ7zfanO6yt4CFJw5MdzgcuOyyy9C7d28sWrQIv/3tb7Ft2zYxL7hORygUEnsg8wMW8OW4BKPRiBYtWghDgxxPwv3NQqXsBWFrOnvShOf7l68v/Shij702yFLLt9jY4HK5VAZBVn6BRg8uW7L1ej0qKirgcrkEvMnhcMBut4sMLhzfEwgEhDLFCq3P5xNzgGUiGcoZjUZRXV0Nm80GZB/ffmsuOimYN5HY/TJ8+HDs3LkTq1atQvfu3UWhIHbbGwwGFBYWYsiQIUgmkzj99NMxZswYuN1uvP/+++jduzdatmwJg8EAm82Gnj17wmw2IycnB4MHDxYTjy07zOxYKUgnUJ5oOTyPB2ktVzI8gi2xLCyK6HQ0Zm1wOp2oq6sD0JhRQhuQwhs1W3EcDgcKCgqg16eKDa1Zs0bMq+LiYvTu3Rv79++H0+lEVVUVvvrqK0SjUQwYMADt2rVDMBhETU2NUBIrKytRW1srUjQCEFj2oqIiVfBV9+7dhbeGmeWOHTuwfft25Ofno0OHDiIegrP8LF++HBaLBb169RKMMjMzE4WFhTCZTCgvL4fZbBYpP5mY2fKz//e//6Fjx47o3Lkzdu/ejZKSEmzfvh2XXHIJunXrJq7jTVouse3z+ZCZmSksKlxwiYNIP/roI1GcaN26dUgkEhg2bBg++ugjdO/eHZ06dRLjzVZsk8mE7t27o2PHjmIeBAIBgaXnDDEmkwn/+9//0K5dO/j9fmzevBk7duzAkiVLUFVVpZo/nFcZSFn2ZAHwpEfr0GwkbGVmKzIXHmGliD2CcuEfl8uF888/Hy6XS8T5RKNRZGVlIRgMor6+Hi1atEBhYSGAlLDHuG8Wulk450Buq9Wqyn7FUK4tW7bA4/Fg1KhRABqhN2zVP9z7MQ+Rs/FooUy/9LnAPEtraZZhIgxPkZUZo9GIbt26oX///ti4cSPee+89DBo0CNnZ2SL/NfPRmpoafPnll7Db7SL+hIVyGSPOfytKKpNWPB4XXpJkMimMLCyky8Gh7MnR6XTAyaymqr6UYz3kpBJyNhu9Xi/w4exV5b5lbxHPBbPZLIrnbd68GRs2bMDgwYOFNZzPky3ybNiRFUAZHsPeYzl+5EShk4J5E4lxjNOnT8cFF1yAF198EY888giGDx8uJobb7UYikUB9fT3279+P/Px8TJkyBaNGjcLs2bMxY8YM3HPPPZgwYYK4Z319vbAuHDhwQGQaYGuDyWQSFkuGGTClC8A5SU0jeXMMhUJC8AQgggUjkYhwo3O/y7AEp9OpwmzLVjEWPLjimdFoxIgRI9CzZ0/odDoEAgF06tRJCG2TJ0/G9OnThcVozZo1GD16NLKzswU85KGHHsL8+fMFpGnp0qVwu93o0qWLUAA4mIbbAEAIGwCEy89ut+O5557Diy++iBkzZuD000/H9u3b4Xa7hQV+7ty5cLlcePjhh2GxWGCz2TBu3Dicc845OHjwIO666y6sXr0aBw8eRCgUEhhy2ZOjKAquv/56TJo0CfPmzcPbb7+N2bNnY9KkSRg3bpwq7RaQErzD4bAQwD0eDwoKCpCZmSkw45whpr6+Hvfddx/mz5+PFi1a4KabboLNZsODDz6IK6+8EoMHD8YDDzwAl8slXOwMK5OFZd5kOJCXLfNerxczZ86EoqQCvOvr62EwGIQXTKYtW7Zg4MCBqoAo+f+vWThP994yzIkD8FihY2JhmoOznU4npk+fjsmTJ4vf2DOxYMECUYX2jjvuQDAYFHE62g07FouhuroaVqtV5NNnJcBkMsFut+Of//wnVq1ahZ07dx6SNSsdsfAfDoeFd42VR1YC5Cxbv2Rig5HWCyJnJpPjQYhI1BmwWq2YPHkyRowYgf79++Ohhx7C5ZdfLsaIFZqSkhLcdtttKC4uRo8ePQQ8jPmtXq+Hx+NBVVXVIUH54XAYHo9HjJdsjOCAUPYccrzLScEcIruNDLvSyhfM2+vq6uBwOAQEElAnr2AFieNtGJ5SXl6O+fPnw+1244YbbhBQsUQiAZvNJpQzzoDHc81sNgvlmfkBe22MRqPwspwodFIwbyKxxYTxqJs3bxbZM4BGZhQKhQQWjl0uhYWFCAQC2LFjh6hcyAyGrTesHbKLnt20Ho8HLpdLBBLJwVJsleQJe5KaTrFYTMWM5TRQAMTGk5eXh3379uHFF19Ex44dBZPnKH+DwYDa2lps3LgRnTp1EhZSDnpiqxFDmDgHPgBMnDgRfr8fTqcTZrMZK1asEFZEt9uN3/zmN8jLyxPZJ8aPH4/du3cjKysLzz//PF5++WUMGzYMQKOVg7G0Tz31lArfumrVKtFetkzs378f+/btE20OBoMCE2+327F161a0bdtW5AZnC6Pdbkfr1q3RunVrwYQZfiMHW7FFc+DAgairq8PixYuxb98+nHPOOTj33HNVQUMAVEpNNBqF2+0WqUCZ0SeTSVGMRK/XY+vWrSgsLMQpp5yC3bt3w263o02bNti2bRuys7PFhlBfX4/c3Fw4HA5Eo1G8++67Yq0lEqmCTG63W+Sn79SpE66++mpUVVUJ60x2djZycnJQVlaG1atXq+YTQ5pYqNfr9UK5OFGwxT+GtPAPj8cjYgM4owZb1piXysGavBm3atXqEAE5FoshOzsbJpMJ7dq1Q/v27YVL3Ofz4fPPP8fBgweh0+lw+eWXw2KxICcnRxWcyc9gQW7nzp0oLS0VvJUF6vr6eixfvhy4DKrnszLJa12GesgK2olCwkOoKT7D+5DME2TPLsOVCgoK0Lt3b6xcuRI6nQ7nnnuuCKDW6XSoqqrCli1bDoFs6vV6fPnll1i1ahWys7MxceJE0a9ZWVm49NJLUVlZiXfffRfFxcUiU8/27duFh7JXr17iHbjGyElqhKDwvJU9HjLJ2Y6Y77Giw/sNn8OKNnsjiUikm23Tpo0Q/NmQJde3cDqdqgBhGSLKe8yBAwewb98+9OvX74RQeplOCuZNJDkd1tSpU/H111/jiy++wLZt2wBACFOTJk3CoEGDYLPZxAQDgEsuuQS5ubnYs2cPHnzwQXHPcDiMiy++GP369UOrVq2EoMKbRMuWLfHxxx9j7dq1qKurw6OPPora2loMGTIE7RsySQDqSpYn6ftJ3iTZOs7aN1vHWAAvLy/HunXrsGfPHsRiMeFGt1qtwjW+Y8cOlWuVg8XYcub1eoXbvKSkBKtXr8bAgQMFg9m6dStWrlwJu90uUsm1b98ePXr0EAGY3bt3x3PPPYd169Zh0aJFKCkpwTnnnCPeg63hXq8Xn332mRDyrVYrvvnmG2FJLy0txZtvvomMjAzMmDEDAwcOhKIoaNu2LSZPnow9e/ZgyZIlImMQb1yMh+d8s3V1dSIdIWfFYGGHBSkiwtKlS/HJJ59g8eLFsFqtOP/889GuXTshyHO7zWYz9u7di48++giXXHIJBg4ciLy8PJSVleHZZ59VReR//PHHWL58Oe644w5RDOi6664TWPTbb78dtbW1uPfeezF48GD06dNHjHt9fT02btwolONIJILdu3cjEonAZDIhEomgZ8+eeOqpp1RzZt26dVi3bh1OO+005Obm4ik0/t6hQwdVNht5g9Kmafu1kdwHMj3yyCOiz998800AqT5+6KGHkEgkMHjwYPTr108IdIFAACaTSaRH3LlzJ959910EAgG8/fbbiMVieOedd5CRkYHp06dDr9fj4MGDuOOOO1BSUgIA6Nu3L7p37w6bzSayIbESxRAui8WCa665Bl26dMG8efOE4hCPx+F2u7F9+3aVYM4xKBysCjQKriz8nUhCA4BGmIit8ZjZbBaGC4amcKyK3W4XhiQOlH3rrbfwxBNPYMmSJVi9ejX69OmDs88+G23btkWnTp1w2223wefz4YknnhD7YjQaxa5duxAKhTB9+nT0799feAM7dOiABx54APv27cOTTz6Je+65B9nZ2bBardi+fTs8Hg8uu+wynHvuuaLqMbfz124xZ0OfrESmgysxb7v++uuxf/9+LFmyRJVel/dHALj55psxdOhQACkL+8qVK1FSUoLzzz8fRUVFaNGihfBAs4GS85eXlJTg008/xRdffIFgMIglS5agvLxcGHM4HuqDDz5ANBrFf/7zHwElPCFIG4TzU/zv06cPDRs2jADQpk2byOPxEFMymaRoNCr+TiQSlEwmKZlMUnMTGv4REXm9Xjp48KBoy44dO2js2LGk0+lIr9eTTqej0aNH0759+yiZTFIgECCv10ter1fcr6amhiZPnkwmk4kAEAAaOHAgbdmyhZLJJIVCIYrH4xQIBOjgwYNERBSLxehPf/oTKYoirunUqRMtW7ZM3Jf7BNK/n5qSySTF43HavHkzVVRUiDYSpdrLlEgkVN+PF0WjUdFX8XicQqEQBYNBCgaDFIvFiIjo22+/pS5dulBBQQGtW7dOHD948CCVl5eT3+8nIqJgMEhTp06lhQsXineJxWLkdrvJ6/VSOBwmj8cjfnv55ZcpPz9fzAO73U4PPvggJRIJqq2tpWg0Sps3b6ZevXpRjx49aNWqVVRfX0/hcFjcY+/evTRp0iSaM2cOxeNxIiIqKyujQYMGUVZWFhERhcNhSiaTFIvF6IknniC9Xk+hUIgWLVpEdrud7rnnHlX/87r67LPPqGfPngSALrzwQtq7d6/oMz6vrq6ORo8eTYqi0OOPP05ERH6/X4xzPB6naDRKPp+PYrGYuPctt9xCVquV/vznPxORei4kk0l69913qUuXLrRr1y7xvMcff5wMBgPp9Xp6+OGHKRaL0ZQpU8hkMol7+P1+2rVrFx04cIDC4TBFo1H617/+RXa7nSZNmiTG5IorriAA9Nhjj6nmwjvvvENFRUU0ZMgQKi0tFe8RCATEmF933XUEgHJycuiVV15RrTce40AgQNFoVLxvLBYT43M8KB1f5LaEw2Fas2YN1dTUqH4/HmswkUgcwp86d+5MAAT/BCA+HQ4H/etf/xLtikaj5Ha7KRwOi3suXbqU8vLySK/Xk9lsJovFQgDIarWKPt+7dy+NHDlS8M7Vq1eL9sht83g8VF5eTsFgUPRhWVmZaB9fP3LkSPrmm29U7xIKhcSYh8Nh8nq9FI/HxRzi/m3KniXvbfK16c5LJBJUWlpKe/bs+SFD8qMoFotRJBJR9UMsFqMDBw6Qz+cT/R+LxUR/cLuZdu3aRclkkvbt20cjRoyg1q1b01tvvaXiR0uXLqWCggIxN3Jzc2nhwoWqdRUMBimRSFAwGKSqqiqqqqqieDxO+fn5Yt+cNm0a1dbWqviT1+ulmpoa8vv9h907j7Sefgilu1b+XlFRQVu2bBF7zfEinrvMO+PxOMXj8UPkCpm/vfbaa3TqqacSAMGfub9vu+02cT0R0datW2ngwIHUtm1b+uSTTyiZTJLP5yMiEvtEKBSiUChERER33HEHASBFUUhRFDIYDKTT6cQ6N5vNZDQaSVEUmjRpEtXV1R03GUg7hrwWeb+KRqOCTwWDQVq/fj0BoKFDh1KfPn2ImiAT/2ws5uwCJA0WU3YBaj8Bdcqm5rRIMf6Jrapt2rTBb37zG7Rt21ZYRIcNG4Y2bdqI1ECsObIbLysrCxdccAGysrIQDocRi8XQuXNnFBQUQFEUVdU4u90uLA79+/fHTTfdJDJj5Ofni8qNbN39uRG3Sw5+Szc+6cbyeFgWtUG0stucrdhZWVm49tprAaSsMXy8VatW4tpEIgGr1YqLL75YZOjh+xsMBlVVQCD1jh06dMDEiRPh8XgQDAbRqlUrnHHGGdDpdMjMzIRer0d+fj5++9vfIhqNonXr1gI/yZajtm3bCmwm91dOTg4mTpyI+vp6AI2BqgaDAYMGDcJdd90Fi8WCDh064He/+x0GDBgg+oGLOiiKgo4dO2LChAk466yz0L9/f1XglNxnkyZNQt++fdGjRw8BfwEgLMeRSAQ2m02FRT3nnHOQTCZxxhlnqILiqMG62K5dO/z+979HXl6e8Fh06tQJv/vd75CdnS28DMOGDRNZZTgmID8/X4yjwWBAr169MGXKFAwcOBBAyl06ZswYFBcXY9CgQWJe6vV69OjRA//3f/8Hg8EAu90OnU4nMvAAKWvgsGHDoCgKWrRooQpa5b7msZbH5KeoLKjloTLJcRAy/5D5aHO1SUsXX3wxzjjjDFEIiwMrq6ur4XA40L17d5VHkKEivE6LioowadIkBINBEQNRV1cnMnwQpYpjTZgwAaeffjp0Oh3atm0roGZAY6pUq9Uq7st953K58Mc//lFgx6PRKHr16oX27dur3kOewzIWXcvzmsLXtOcfblzkuAVtu48HHQ46yR422UvEqS6TUhpYvV4v1m+rVq1w2WWXYe/evWjfvr2IrVIURax9jsVyuVzo3bv3IQkPeM1zNh29Xo8pU6agrKwMJpMJo0ePFnUoOH2qPOdkYtgEt19LP6afmzJOsoB2vMaU9wmOq+LKytr5JxfL6tq1q/CwAqkA23A4DJvNhhEjRojzOP6qrKwMVVVVwurOwdnJhoxLDCMEgG7dumHq1KlwuVwwm82iIihb8mW5Z/jw4WL9Hg/UgHZMtHKpVh7j70ezFyjNzZCbQn379iWn04mVK1fiq6++Qrt27UTVJxmfRkQCLnA8BFLOVUtojK7n4kEZGRmqzBtA48CEQiERLMi4XZ1OJ9x5DJOQseEMe+BjDHPhcwGooBY8bioBU5qV3OafgmR30/bt2+FyuZCXlyf6R04HyFCfIzHC5mqjXteAh0w0VgFk951clEIOUmMGxjANoDGLCDN8dl/LgWcsALBgwdVimdFEo1EQkXCtcjEfbe5vWTjmOcIYTM4uwRsL35uFbj6PA7G4/cxQmaxWq2CejLllZZHhKjxunDoyEokITCBjbjloR1HUqc7i8bgIipUFL343XtucX91isajy6fJ7yUGjMu5YxrfyeRzzIQsUPJ7JZFL1zhy0azKZBDRB7i9ug7zekpRUFS7hvpOVzeMpOPF85j4AUgpTSUkJTj31VIGx1razOXgq463NpsbyigQSMTpydUYAAgLIbeG5aTKZEIvFhFDFUCj5U86wwnhm7gMW+DimQSsosjCfSCRElglZsQ4GgyI4Wx77cCQs5jKvjcNVej3aOaAVzmTeSkQoKyuDwWAQCoc8z5or9khuA/NQAAiFQ6Kv+Lnc1wAEz5T5oMwvgVT/8NqLRqMwm82or68XdUA4TzzQmGlFW8SJz2Oex/OK28LtYIhRMpmEQd8oNCWp0WAgGw+01NQ1cyQBm/uA71FVVYW6ujqcdtpp4pjMI5uDhzAfIGpMW8pB0IlEAkZD454TjoQPiSWQ5TF5zQEQgr7X68Xll1+OnTt34qWXXsLQoUPFvhqLxUSGFX5PmRfw2pZjktigIvd9JBKBxdy4TxxPGYiIRBIB2cAXCASwc+dO9OrVC8OHD4fX68X69eu/dxB/NhZzZmhWq1W1QWs3Q3nTOxwdM2VD4Y+GP3QArA3/gcP3nlX626b5TS79K/NMo+aYLs218vnfM7Q/pcIlC9kcXCNblfg3/myK0HKs30de0PLmxYwSUKfjYosdAFHWnbGuvAGyQJ9OM5YtfYqiiAIrPKflQEGgMUKeNyxZiOV0mtqyyKzcaTdjbie/h5zfl/HdfH9mhLLCyd4iWeiU+89mswmBR1YAeJPloi38vtxHckCP1lsBNKZG5EBoWbjn57Myyxs+9x0HMLHSpB139nTwGCcb0rvxXOSgUxbetXNYGzzM76Wlw3n3jiXJgpr2PeW/eb5o087J66852igbF5iISHiYuP1s6eRrWJCSlTK22PGY81zUBgjKihnfj9cUb556vV6VPk/uC44N4XNZUZYVNSbmC0AjL2GMuZavNbV/5TGVLfxafsntTMdD5ZSNx5IOx7NZCec+52cz9lg2eDBpeQAXMuP850SE7Oxsca90OGJtERwAwnsnC75yQD4A4QFPl2P/cNZPbbvl9/w+kteodn3KHjY5441W/mmO8ZT3C4fDocKaa99fFnxTDdbcTFvgx9zwPwPAqtShs3G2+hwjjozx52dwUw6na5rVX5ujr9IZWmQlgr/L58l54ZtKTRbMFUXRA1gPYD8RjVYU5RQArwDIAbABwEQiiiqKYgbwPIA+AGoBXE5Ee5ryDJkJch5pthTyImUmJQsqMh1TrfIXHKv1UwrmvCmyssWWKRbuZCGIx0ur/Wrbf6wtBYlEQsx+1vq1wg23Q7b0cLo+FjZZ4GZLAwshvDGzsCF7SpgRs1WOGSARCaGfGTNXm+VsLmxJDgQCsFqtyMjIUFW25LLiXAyJPTXRaBQ+nw9ZWVnC6sD9Gg6HYbFYVMGLOp1OBHYyc5Hbkkwm4fV6kUgkxCbo8XjEd5PJJOBaDGnh/iAiYennCqRMwWBQKDnyOyWTSdjtdkQiEWFRk4UgtojyBs/WnkgkIuYY9xn3OReFYYsbe0JYsLBarfD5fGKcZQu8dj5yxiQedyaZeTeXh0/29vCzZe8P0JjCjDM/sdeCf5OVkmNNwkMm3ZqzmLAFnOeA1WoVgZTcHllRZiGYvSUswHGGHZ6rsgeGN0R+hhyUz8G/fJ7WQ8trg5VMVn5lIUC74abbtJuq+GgFcm6zLLzK1mHmTexlk3lOc3mV5XbJgphOaXgWP1JBoxB1OMHrcMIWSyaK5vNoSW6D9h6HkX6CwaDK0yIregAEj5SVosM+XhpP5lOyjCIbK3jusQWZ1wXvB+n4zrEgbpM8d9iLG4vFAPsxf+RxoeaUgWRZId165XXKaxI4OhnmaCzmMwFsBcAl7+4HsJCIXlEU5XEAvwfwz4bPeiI6VVGUKxrOu/z7bs6Wr61bt8Lj8QhhgoUFfknZdSIzQK2771jQZ/hM/O31ehGNRpGbmytypSoNbv5gMAibzYbMzEwR7c0wBC5KwUoHl0lnDHk8HhclxKPRKPLz8+F2u+H3+1Wl0DkNHjNo3oBkwVfWfNdgzTHpgx9C7JqMxWKoqKhAbm6uSIUlC0/8XbbEAofPe3zMKVW3Al988YVKkJaZsE6nE7AM3uz4M5lMlSHmtrHwmWgo5CPn8eU8rCwIAynhhJUUtt5lZmYK4ZMFa6vVKuIVuHAD0ChosIDLwqfP54Nen6rEFo/HUV9fLzCdgUBAZJXJycmBzWYT+FkZJsVKhMfjgcfjQTweR15enhDaHQ4HAoEA3G63qEbKc5Qz3CgG5pNUAAAgAElEQVSKIvLUlpWVYd++fcjPz0dRURGSyaTIEsNZMRiGUFVVhXA4jMzMTLRu3Ro6nQ4HDhxANBqFw+EQ1tFYLAav1yuqRPKcCwQCKCgoQDKZRHV1NUKhEMLhMHJycqDT6eDz+YSXwmKxwGQyob6+XqX089pt06aNKOzEVl5hYRvcOJW+/PJLMSeaW6nUkvb+PIby3GJox5YtW0Q1VVbifsjGcTQk4ABDGo/ZrA2WZ3OaCw4nCMjCnYKUUMiCYbr7MGktboBaENQaXOV78bXGNL810Nq1a1XfZQUUaLpQzqQV7FnAlhULvv/evXthtVpRV1enysPf3HOO33GNbg0GDRzUrM86nrR6zWrsce6BTpeqS8IpW3l/koUwGf70faS1rstQTtmTUFNTA4/HI4wRXKysOceT7y8rBOz5TCaT+Ig+Eh4nRVFEFhxWFiwWCyKRCLxeL+x2u6gN4PF4xPncX7xPcfaWNm3awO12o7y8HIlEAllZWQI1weuAsyG5XC6RBY35Mxv/eGzYExuPx7HGeuxlINnzLQvj8jiyImU0GhGJRFBRUSF4cVOpSWcqilIA4EIA9wL4k5KaJWcBmNBwynMA7kFKML+o4W8AWALgUUVRFPqe2cuWqNatWyM/P19gPvnF2cXOTIc7qCnQlmNBLGzwImVhnIVihuHwd7ayJRoqjPHAsCdAxovz5ONqg3l5eaK0Nwdh8CbKC4G70+/3IyMjQ7UR/NTE1iq2lLpcLuTk5Ij3lhmNjMvlTehwCldz0ZmDzmz2Z/zqqdePvL7jD7yu+Ec+t6mPKS4+JJiVqTlhIukscnyceQ8L54zZLywshMvlEpvw4aAJx5ISiQQOVhxE61atm+0ZPwVVVVcBqeKyqrGQYQdaONOR+pmttLK3WHsPFpBY2DGZTCgoKFBVzmzO8WRvHwtw1TXVABqhcQxrY97O1Vm1sUWcBlPez/m9GXYkezD4Or5WhsHImHVWrnn/5D7l6r6yQYONGcID374RNpiZmYn8/HwV9lkeJ7k/jtRXvCZlizk/g42O/H4ZGRmoq6tD+/bthQAre76am9hIw8YWlr+IGjH5bCDU6XRizslxA0ajUXg+dTqdSADA78Ln8/1ycnKQl5cHi8UivBMsZMtGWZa9ON+5DDdipAXHJqSDdB4LSudRl40xcg0PvV4v+uFo12JTRfiHANyKFFIISMFX3ETEPrxyAPkNf+cD2NfQ6LiiKJ6G82vkGyqKMg3ANAAoLCwUeEOXyyW0JnmT0TI3/mwu97CWeILwRM3Ozj7EtSQzXQ4EOBJTZgaRbgLJDJ6ZE7tVefKzBY+LqPzcKJlMldV1uVzCcqp9Ly185HiN50k6SceSfurKc+lgWDLshnlIixYtkJOTI7C66TC2zUEM9+CALFnoYiMFb8pydi7eyGUIFFEq7kDG4cq85HA8RMt/5e8MuwIg8lsDh/Jo2fCiKArQ8lj3lJpkmAGgziDF3je9Xg+Xy9Xsng+ZZE+27GnjQHP20LB1Vc5YBTRfICNTMplUrUkiQm5urkr453XBVUWBxlg3vgcrtem8H01pf7o5JysQWmMUj292drZoA9C8+6IWWsPeTlnYTreutMgEWU5jI6PBYBBVl5PJVK5yhu5wTAJRqlCRLDsxbI35k4zpBxoNerLsxMpguliG5qAjrTdur8ViEZ6Do0FyfG/rFUUZDaCKiDYoijK8yXf+HiKiJwA8AaSysvDLsTbEWMJ0Ly9bU7WMC2ieSSynf+LJxZsDa2uJhsJAcuYK1oqZ6cuVxphpyRhGfla6RaEt6cwTXFZgfg4kQ0JkOJLszpODmeRPZlr8d3NazhNIqLIKnKST9EMokUwgiWMDnzta0vJHeYPl7/LakbMJsdCrxZgea0okEkKgttlsQgAHUjyQIRhydUBZ+JStpWx5k4UHtiwz/5Vd20xaGIK2z+Tqo3J/CUx5A7ElL50idKxI2245w0m6cZat0LKgpxVmjhXxmGjjErR9zkI7t1/m7Vrvwo9tD9+fiVOdsqAJQMSlsBLGEDo5k4Z8P4aKMhSDLfvy87TCYTrSzhXtfbSxVbwmZWGuuZUuORuc7HXgdcWWcYa0yJlXWL7h3wAIiCATK7QyzIOPy1h67g9+T63VXPYm8Zhw/BUXq5PHtDnoSLKmzFvZaynDBZtKTVErzgQwVlGUC5BC4zkB/AOAS1EUQ4PVvADA/obz9wNoC6BcURQDgEykgkC/l1jAlSeBdsFoF386BikHkx0rkrHd6Z4nZ8SgBsiGfL682Pi/NuuHnL6MA9GYgch4NlnjlyOBm+O9fwjJ78zvIPeFliEfzhvCn9xXzUHRRPSozmeGxe9y4MABlJeXo02bNmjZsqVQKtmjAaTiE7Zv3w6r1YoOHTqILCfMXLjaJL+rnGVAFloqKyuxZ88e5OTkoKCgQIW327t3L7xer4ApyPNEZgwsGHEshF6vx65du+ByuZCbmwuv1ysEKO2myUyyvLwcBw8exGmnnYYWLVqI8ucMqQIaNxhOtVhVVYWqqiq0bt0abdu2TSswaAULZrbsIeJz2IXKayRdpod0AqnBYFBh9ZPJJEpLSwEAnTt3VllpmaHKbmzGz2uzQCTw0627I1mHtSQHfspCuRZadqxJq2zLG6v22fx8WfiVrZgc+yBfK+NwZR6qFYYAtcIik5xNSbZsye3WZitqjr6ShVhtG7XHZKiLrGDJgl9ztJHvDzRamPmYgISgMROOojTiktMJtkdjSWwqyQKzvLfKx7T/Zd4l8yE2qsmKiAxfOFIfa5W4wykxTCwEy9miZF7WHOMpp3vWQoN5fOU+5Bgcvpb3IBa4eTxloyVDkRnCwrwdUMNBWKYhSqVTlYNeeR/TKuQyLBiAKoXusSatYVQeV3lOyF4XbvfRCOffK5gT0e0Abm94+HAANxPRbxVFeRXAb5DKzHI1gDcaLnmz4fvnDb+voKNUF+SFL7XjkE/epH8Ihkf1vKaGfLNi7NQcN0Ddk9rvRhwaYAQADs13bSYu7X2+h0j/88GYay0pWuFbVrz4HF646aLPjxfGDjiK+aAgBdzKl45ZNL8DgAtAf8212nFNNz8AdbBZXsN/mXQN1x4tBluee/K12rmtJQOA9g3/mdIF63E2BAa/OQAUfc+90/FRbT/pNMfTrY8j3Ue7xjpLf/N46Rr+HybY8KesEXA4Sscf+VNWOHij0CpBzbG+VOtIm0btcEGb8ngqDf+/b389NIPhjyP5efK9tZlFjtCuHztHtPucLMQyZloWzGWhRRawmpNvynNJrtnA7ZYF8GAwKILUtYGPzUH8bBYEOaMOQyRYyAZwiDInG5VYEQRwSAYW7b52pLZogz9lQU071iyYy5mJmns85TSlsqGD55vVYlVfIK9nLa/UpnXmc7V7nFZG0v6mzYx5uD2SiVMzNlBz82mtkYGPpTM4Hi39GCDOLACvKIoyF8BXAJ5uOP40gMWKouwEUAfgiqbekC1jcoW3w2GFZAb1Y7RIuejFL50UKIhEIz91M4RwzVqjxWJRuYPTCd7MfLRun3RuyuakE2k+nKTmoZ/LOmOSPQz8Xcavyse0ufbZasUWsGNFv/Z19EPnCAuHMsyBx062LPNxOaOTVqgEDs83j8n46HCoYpVOblSQMk6ku7656EiGsiMRK+UypXunw7RdO+ba/Uu2SMtWVlnw5jXKHnJZAWoO4udzECwHYTJP+KWu5ebg0zKKQ/YSHU4IP1xdk++jo7qCiD4B8EnD37twqB0QRBQGcOnRNkSGd8i5IOVP2YrOjEqe+OkwW02leOLIyd9ZowwEAiCitEUlOFe02WwWwVV+vx/RaBQ2m01UA5XbyrgoxrtxCjnW6mWSr5Pz24r8sTi+luXDkWwF10JstG69plgg0nlQjgelmxPcvwcPHsSHH36IL7/8Eh6PBxdffDEuuOACVFZWYufOnYhGo+jUqRPatWsn3Kpffvkl5syZA4vFgpEjR2Lq1KmqeZ9MJvHMM88AaCw0wdHnZrMZK1euxJIlS9C5c2dMnjxZBFRFo1E89thj2LRpEyZOnIjBgwersh3wObFYDFdffbXA5DEM4A9/+APOPvtsTJw4UZzv9XpFND0AlRvzhhtuwD/+8Q/MnTsXd955p4pRhcNhYZXi819//XWsW7cOO3bsAJAKBPP5fAK+I0fbayPc5aC/eDyOYDCIzMxMTJkyBWPHjkVlZSUeeeQRfPbZZ7Db7aivr8fGjRsxYsQIHDx4ENu2bUOrVq1w+umnIxAIYObMmfjNb34jxvDSSy/F6tWrsWzZMgQCAYRCIRGQyAJPt27d0Llz51ScR8Mm9XNYZ0D6yoTymksXoC5v8FqhvjnWWSweE+Mop07j58nxNMlkY1EnthqyoUbmI3IMD2NZtXCZdBA5meR3l2ED3M5kMpm28uuR3NJyBckfMkcO127ZWq49XxtPIF/zc5mnvxbS9rd2nsjfv2+epoO9NMd48rzndaiFs8gUDAVFvJuWWBnUIhgSiVQlXYZ4ynsJyztysb5NmzbBbDaja9euggcAjXM9FAqJa7g+gxy4rdPpxDo81v2lRQNo5Rt+phYadbT0s6n8KQuqMv5WdtEB6o1DDlL4sdTUAA5OmchYKs6xqSgKMjMz4XA4VFHqchsZi5VMJoWQrtfrBfMnShVGCQQCYqLJ2QA4peKR2vtzYMSyNglAhTFnFywzAUCN//yxsKRjSen6ksfz9ddfxy233IJLL70UDzzwAHJzcwVze+qpp7B161bMnTsXp5xyCoAUVrxfv37473//i4ULF2L69OmYMmWKEHz1ej28Xi+uvfZa2Gw2VewAWy4ikQjMZjM2bdqEW2+9VQTDcZBtOBzGCy+8gJdeegnxeBwOhwOKosDn8wlm9rvf/U61gXOVOS20iCvAsZAt9wUzbhkOAaTGkXHvskA4c+ZMDBs2DI888gjsdrvIScu53RkrHgqFQJTKuFFfXw+dToeWLVsiGo0KVzgrKhxclJeXh9tvvx233XYbnE4n3n77bUydOhVPPvkk1q5di1mzZmH48OG48847kZ+fr8LOc0EonU6HK6+8UsxHv98v+ignJwfXXXcdioqKRHaBw82Nn4K0m5ZsYdNaX5mHyDE8skW2uUjOnsLZtrgEdyKREDADno+cW59T8mVkZIjrZKgbB47KwfJMWuMAUzohiGF0LKBwxojDWSib2lc/do7w/icXZpPbLeNXZaH9aJ97tC5/2VstCynycVYKeM4xX9cKK8eC1x9ufDmZgsFgELUh9Ho9nE4niEhVII0FOi0Fg0GRDY33aRkvL/DZaITOHKmdPKYy70y3RmUDxZEssseCuM12u/2QNaQVOhVFEbxYVmZlRZqP8/tEIhHY7fZDvEBAY+wP38NgMODtt98GAHTt2lXMoUAgIAR7uYIv8wE5U1I8HhdejuYSzPlv5qeyIURbNPCH0M9GMJdzV8rYKkCd9kurYQLNn3oJgBBw2JLNE6qmpgavvfYaTCYTfv/736vSPLKQEQqFxMJ/7733sH79epEjVMbdKYqCqVOnYs+ePfjoo49EgSEuZsSWTu6vaDSKHj16pDLM/8xI1izlhcdjK4+39jrg55FhRmuh4u9PPvkkSkpKMGrUKJx//vnIy8sTuVNdLhe+++47fP311+IaoHEzt1qtGDlyJLZs2YJ58+bhrLPOwuDBg8V8Gj16tCh8w5HqfO8tW7Zg8+bNyMrKwpAhQ4SQGYlEsHz5coRCIXTu3BkdOnRANBpFZmamCPhjy4TRaMSmTZuwfPlyZGZmwu/3o6SkBPX19aioqBDMJB6P45prrkEgEMAHH3yAiooKWK1WWCwWbNy4EUSEzz//HA8++KCwWmRnZ2PMmDHIzs6GoigoKyvDO++8g4EDB2L8+PFo06YNtm3bhmXLlsFgMMDpdKrWiiyw+f1+Md9jsRj69euH/v37q9a63++H0WhEVlaW6OtTTjlFBNnu3r1b5FAuLi4WVoxQKIRPP/0Uq1evxhlnnIH+/fuLAmKyoMtW/I4dOzYy2Z9+WqYlGe6ghT1oNwcZ4ytDXpqLj8pjzPeXFVKz2Yxdu3Zh2bJl6NmzJ0aOHAm9Xi+qgPI95M1Op9Nh586dWLZsmTBWmEwm9O/fH3369BEBYfxM2fKmbQv3QywWU2GPk8kk5s2bp8oswkLyrFmzxLyXgx2PRD+kf7X8R2tFTZfD+4fQ0Vyr0+mwceNGfPLJJyI9IitNWVlZGDt2LFq0aHHEe6bbw9MdP1LbjqRwyWnzkskktm3bhnfffRf9+/fHOeecI/YlNoDodKmCQv/5z39QVlYGi8WCM888EyNGjBCCppyIIRgMwm63/+Ax5TbyvbUKiwxxSecVay5iwyF7C9lAyBQOh/Haa68hEAggmUzC4/Hg1FNPxejRo5GRkYE1a9bgs88+g06ng9PpRGVlJQwGA+644w6VYY7XMq8tnU6Hb7/9FqtXrxZFGBcsWCAyNVVXV+O3v/2tMHSZzWb4/X5hNee+ki3VzUFaD7/s+ZPXJge+cgaqozZ+sBb3U/7v06cPDR8+nABQSUkJeTweIiJKJpOUSCQoFotRPB6nZDJJyWSSmOLxOCUSCdWxoyU0/Ps+ikajFI1GRVvi8TgREX355ZfUsWNH6tOnjzgWCoXI7/dTNBqlcDhMPp+PiIhqampo2rRppNfryWAwEACyWq3UsmVLslgsBIAqKyvppZdeorZt2xIA0ul04jyDwUBWq5WMRiOZzWYCQOedd554h6a8x/GkeDxOmzdvpoqKCjFGyWSS4vE4RaNR0V9MsVjsR4/n0ZL8rGQyeUhfJhIJSiQSqmssFguNGTOG6urqiIgoEomI32pqauicc84hh8NBb7/9NiWTSQoGgxSLxSgYDFI0GhXPUhSFZs2aRbFYjIiIwuEwRSIR8vl8VFFRQdXV1eTxeCgYDFIikaBHHnmEANDll19OPp9PrI39+/fTuHHjKCcnh5544gmKRqMUiUQoHA5TMBikQCBAHo+H/H4/xeNxWrhwIRmNRgJADoeDTCYTGY1GysjIIKfTSQAIANXW1tKKFSsoLy+P9Ho96fV6MQ8NBgPZbDbKyMggs9lMOp2O+vbtSytXrhT9tnTpUnK5XFRaWir68P777xf35+eaTCbS6/Virut0OsrNzSW73S7aeeedd1IkEqFEIkHxeJwikQi53W7Rl3z/FStWUH5+Pvl8Pvrf//5HRqORJk2apBo/t9tNF110EeXm5tJrr70m+r6qqoqqq6tVfKaqqkrwo3A4/LNcZzJxXzC/kt8lGAzSqlWrqKqqSrXOtJ/HguR1xGPG657HKhQKifMff/xxat26Nd14442iHXxdMBgkv99PyWSSYrGYeMf//Oc/VFBQQA6HgxRFIaPRSH//+9/FGktH/N7yu8rt47+JiPbv308AyGg0ktFoJJ1ORwaDgXQ6nVjTMmn5Bz9H/q/lJd9HfI28DzLF43Havn07lZaWirY3lbR8Tu6TdPNAPhaNRmnu3LliDzMajeRwOMhgMFCfPn3o008/Vd2P261tn3Yc0h3X7hGHax8TP4PnAH+fP38+mUwmmj17trgHn8N8ZcOGDdSjRw/BnyZOnCju5fF4yO12UywWo1gsRqFQSPU+h+ML2ramG0/5HQ8cOEAlJSUUCoWaZV2mI+5vfi+/36/aq+S5sm3bNrrsssvIaDSSoigEgMaPH0/ffvstEREtWrSI7Ha7mBcAqGXLluI5kUhEtXb43ROJBC1YsIAMBgPdcccdNHv2bDEOWVlZZDAY6M033ySi1HiEQiHyeDzk8/koEolQKBQSvCUejzcbn043Z2X+oR3PcDhMX3/9NSmKQiNGjKA+ffqkuvR7/v9sLOZavB8fk39jIskaezgsVHMQp/xhtwmQ0iB9Pp+wnBCl8OdEjTjZcDiMN954Axs2bEBGRgZmzpwp8LWMo928eTM+/PBDEBEqKyuxb98+FBYWYvTo0cjOzsYTTzyBmpoanHHGGejTpw/0ej02bdqEsrKy4/LuP4QONz6sPWqPHwnb1pzEiyHVuEN/Y428tLQUr732Gi655BKMGTMGWVlZwv0OAO+//z6WL1+O7t27o7i4GB9//DHKy8txzTXXCLcqPyeZTGLq1Kno16+fytXP2GzZ9cd08cUXIxwOo3v37nA4HAIG0qZNG0ybNg3Dhw/H2LFjD0ktyC5vPt69e3dMmzYNS5cuRVVVFfr27YuxY8ciFAqhpqYGgUBAwEXat2+PK664AlVVVXC5XHA6nVi2bBm++eYb9O3bF4MHD0YgEIDP50P37t1RUFAAIDWWbdu2xbRp01BUVCRcfQMGDMAt/8/edcdJVZ3tZ3rf2b6wVOlFEKVIRwVEBE1UjCWg2LCgRjQajQEiRo1Y0JDEqASVWLDSBD+xoCJSFBUUpCwICyws26b3mfP9sT5nz1yGKrusCe/+5re7M3fuPfUtz1vO3XdLxInep0QiIWv8RyIRuN1uhMNhRCIRpFIp9O/f/4AcE4vFAr/fjyVLlmDTpk2IRqPYunUrAoEAJk+ejJKSEsTjcXz99df44x//CLfbjYqKCsTjcbRs2RJt2rTB9u3b8e9//xv79u2D3+9HVlaWRNJ0Oh0mTJhwQHnExkzqniOfzPRZQ+8xtfIF1+T06dPh8/lgsViwfPly7N27V+ZGkLRhKkajEbt378ZLL72E7du34+KLL0YqlcK8efOwZ88e7NmzR65zornkzWr9dG1pRPJioBYVnzdvHlasWIHbb789rcQkkcS//vWv6Nu3L0aOHCm/n0ql0hIFo9Fomgf4WOhQc6Wdz587p2p4heqhlrzxJ6KH7aabbkoLvWC8/+LFi7Fz506cffbZaNKkSVpNet5LleEkhu2o86DyX46/+n3GNfM79C7zvT179mDOnDmYO3cuYrFY2gnaOp1Ohqk8++yz2LBhAwYOHIi+ffvCYrEgGo3i3XffxejRo2EymeD3+2VpWB5epN1jmUi9Rt2bal9I6h5pqD2qhpio57Vken5hYSFGjRqFN954AwDwm9/8BsOHD0dBQe1JW6eeeirGjx+PRYsWobS0FJ07d8aFF14o76l6BphLwv3t9/uh0+lQXl6OG2+8Ebt378bChQvh9XoxcOBAtG/fHgDSQoUZOsK/1TXWUKT1dqjPV/fP0bSr0SjmqrWgvgekLxJ1kTdkQqBer0coFJJMn5vb7XbDbDZj+/bteP311zFq1Ci4XC4Eg0FZiN9ut+Oll17CvHnz8O9//xvjx4+XiQ4UCAsWLMBnn30Gp9OJoUOHYtq0aejXrx+GDRuGeDyOb7/9FitWrMCkSZMwevRo6HQ6BAIBvPHGG7gO1zXYOBwLaRmPlilxUzXkfFIga9eWSuFwWCbuMpY7EonghRdekIm6TFxctGgRXn/9dXTq1Aljx45F69at8eqrr2LZsmUIBoO47rrr4Ha75QFaqVQKzz33HADIuGm6SC0WizT+tm/fjnnz5qGkpAR6vR4ulwuLFi3Ca6+9JhmSyWSCw+GA1WrFgw8+iHA4jPbt2+OKK65A8+bNpcudbsSzzz4bQ4cOhV6vx8yZM3HttdeioKAAJSUlGDduHNq3by/djaeccgqeeuopOT4bNmyAzWbD7bffjgsuuABFRUXyWoYPALVJ0j179sQZZ5yBSZMmoaamRobo2O12OBwO2Gw2WCwWVFdXy3AdMuuamhoAdbWDGY+u1+vl4TJWqxV79uzB9OnT8e2332Ls2LFwuVxyPrOyslBcXIz8/Hwkk0m89dZbSKVSGDduHG644QbEYjFccsklWLZsGWbOnIlIJIJoNAq9Xo8lS5bgww8/xNVXXw273S7r9DZ2Unmm+h7/P1g5Uu13jidRYUskEnLP8LAXGo1q3C6VPYIfVM537dqF119/HZs3b4bT6cTo0aMxYsQI2O12XHnllfjoo4/Qq1cveSy8GmLC9anucSqCAOT6MhgM2Lt3Lx544AGsW7cO4qewLgBp828wGNCvXz/07t0b+fn5MgwmU9+5ptVj5o+G2OZMMatUdn4u7xSiLvZZBUgIKMiTTgHMmzcPOp0OTz/9tAwBYtjQhg0bMHr0aCSTSSxYsADNmjVLy5diOAP38sEKHEhDB7Vx3qlUSoaDUqnj95lEGIlEYLFY4HQ6kUqlcM8996CmpgYtWrSQfMHhcMh8HqvVikgkgjfeeANr165Fnz59cNlll0lQ5IcffsAzzzyDL7/8EoMHD8bQoUNlvguTGQ837ocyqtQ+q+83pFLO56syWK1rriW3241x48bhoYcegs1mw+OPP44WLVoAqDWK+vXrh8GDB8NiseCpp57C9ddfjzvvvFN+n+FFAOQ+Xbt2LRYtWgS/34+pU6di0KBBOOOMM/DCCy/g4osvxtKlS/G73/0OHTt2TKtHfyL4cSY9VNVd1RwLdR0frbHQKCVNpk5ksrYbkphgwGQRKtaxWAzNmjXDzp078dprr+Gcc86By+VKq8kN1DJ1q9UKq9WKeDwOn88nGQUVrLy8PMTjcXTr1g2nnHKKPARFiNo6sPyuTqeTsbjjx49v9Ir5oaihrVstqfF92jXFE17D4TBsNhs6duyIKVOmAEg/xCAYDGLRokXo3r077rrrLml0XHnllWjRogVuvvlmnHXWWejWrZsUTjTcqCxT4Kgn0gkhsHfvXvzrX//Cvn375KmHjIXmSWrxeFwmMBER6tatG0aMGCERbPaVMZdMrmMS5rPPPotPPvkEnTt3Rvv27SGEQHV1NVKpFKxWqxRsr732GmpqajB16lQAtQo4kftAICDRZqvVKtGv1157DeXl5XC73dDpdBK99/l8UgFjsh0TMuPxuHyu1+uVybPqyY5A7b5U56ampgaLFy/Go48+itWrV+Pbb7/FoEGDcP/99+O+++5D06ZNcfvttwMAqqqqEAqFUFRUhIkTJ6bFezZv3hxr1qyRSdrAT5WQGkfOZ89+/TUAACAASURBVEbS8scTwScPRjTGybvMZjPuuOMOadg++uijWLt2LcLhsIw91R4K8+OPP+LJJ59EXl4eFi9ejGbNmsn1d/rpp6NLly4SXY1Go1KZ5HoCkIa+qnH4KiUSCbRs2RIVFRUA6hRyniaZSCTQrl07dOrUCX6/H7m5uWmnHJKI7KmxxEeTjJaJN2oVguNFWqSc76noMt+jAke+6fF44HK5YLVapYFFzxMA6QUD6iotqffnnNAAI+pNgIKJwaqiw31qMBgQjUbTEsf52axZs3DhhRdiypQpyMvLw1dffSVzbSKRCJxOJ3w+H/75z39ixowZ6Nu3LwDIykwdO3ZEmzZtMG3aNMTjcZx11lnSoPT5fNJr93PG+0TLP+DoDHIabJRTnFcg3XhL/VTRyO/3y8+pE3H/05j76quv8MADD+DSSy/F448/Lp/j8XgkMMOTg7lWTiRvO5R+qvWMHKvR3CgVc5Uaw8IFIF2SRF327NmDl156CTt27MD48ePRp08ffP755xJhoPJuMNSessiqGRQYdI9TUJ166ql4+OGHJYO32+1yQqm4BAKBA04uPEnHRqplS1e3dgNR2aULlEqCTld3TPiSJUswa9YsZGVl4de//rVkPDSkevfujZEjR2Ly5Mno27cv/vSnP8mKKUB6RRqTySQVYApzq9WKiooKTJ48GV27dpWVBLQoXjgcRjweR9OmTbF161Y89thjCIVCaZ6JSCQCm82GBQsWYNGiRWjdujVefvllnH/++XjllVfkqaAcn8mTJ2Pz5s0oLi6WCvqyZctgNpsxfvx4JBIJ+P1+uc7Zhl69euHWW29FcXExAGDmzJnwer1SkBmNRpjNZtx///3YvHkzxo0bh/POO08KahoXDocDgUAAS5YsQU1NjWR26smPNDA4N1SGdDodvF4vKisr4ff7YTKZkJeXl+ZOTaVSyM7ORlVVFZ5++mnccccdacm2qrLFyg6/BDoS17r2//oUcmrFAibHM2yLBqkWpaPwJc/lnNDrQiUuK6v2RCyDwZCmGKrhYbw/lUAm8qnGAtexyWRCVlYWbrvtNpSVlUklkAbnpk2b8MQTT+D+++9H27Zt4XQ6ZdtqG3Jg37WK7JHSsSpux4rKqwq4ChaobWAiuVotjHs6mUwiKysL8Xgc5eXlUj55vV5Z0UTltdzDXB+q0UKvCQDpadCeuMrrw+GwTBbW6/XYsmULZs2ahd///vcYOXKkBFfUe/CUYlb2UcEZGlBEjz0eDyorK9PGgR6ZQyW4HopUBa4xkNoOdd2lUqmMNdsJTGp1EDX8KRwOS0+ZGvKpljhkhTu9Xi+rYWmf43K5DqjipoIoh+rL8aZMHsmD0c9pR6NTzA8W23SiST0ghxbz888/DwCYMmUK+vXrh3Xr1gGoU7LUSSwuLkbz5s2RTCZlLCsAWZu5adOmGD9+PAKBgERoAaSVIOKzAUj34S+BDjWfJ9Ly5eYmc9Fucs4h41QjkQjsdju2b98Ot9sNvV6PDz/8EO+//z7++Mc/okOHDtJdT6ZjsVgwZswYXH755aiqqsLQoUPRqVMnRCIRFBcXp1WLUAWhikZlZWVh+PDhOP300+H3++V6IAJBDwwAFBUVYcuWLXj++efThB8Vy3A4jBUrVuCll17CLbfcgqFDhwKoFW5OpxNer1cqGp988gm2bNkCt9sNi8Uiy9clk0m8+eabaWElHEuG6VRVVaG4uBiRSATnnXdeWo1yu90uUfrdu3dj8ODBGDNmDEKhkNwPRqMRubm5cp5WrlyZpsSxz2T84XAYoVBIKujRaBSRSAQVFRXSIAbqEH4hBJxOJ9xuNxKJBObOnYszzjgDgwcPlkoG+6W6KBszafdRJuGvjXdsiL2nGodqGVBVeaaw5p7j2gYgkTOLxYLc3Fw4HA6J1JWVlUkPk9PpTMv9oRFHRUsdDyp3VApMJhMqKyuRm5uLvLw8nHPOOZLPkx8bDAZs2LABixYtwhNPPIGsrCwEAgG5VjKh5pQFx+rBONT12s+OlZeqoTL8PveIek8qy263G16vF1VVVcjJyZH9MxgM2L17N5o2bSoNKKCWtzCMj4o5FVvyJzUvhkh5JBKRoJQWMSe/4TjweYlEAtu2bcPf//536aUjoGU2m6UySfnKPADmNqhGHFBrVKhVeTgmdru9XvbOiQIiVX6gtkErEyl3OIYqT1T3l+pRVg0qGtTxeBzRaBShUAjBYBBNmjRB8+bNZV4IjSkq5ureoif2RIzVweZcHQc1DEtr2B4pNTrFXCWVSWgTvxpaoePziLgQ9aPATyQS8Hq9KCwshF6vlyUSjUYjbDYbbrnlFpx11ll4+eWXsXDhQixYsECid0QGgbp4SgDSmqfFqFqNdPVGIpHMR6KfYFKZuvZvlRoyrjwTmc1m6dGwWCxpJ9l5vV5Z85Zxh6lUCpMmTcLu3buRl5eHLl264LnnnkP//v2lMHM4HBJlj8fjaN26NZ5//nl8/vnneOSRR7Br1y5YLBasXr06TVEJhUKw2+0yMRKoRe3dbjfuuOMOWTpKNciIKhHFF0LA6/XKmt06nU7W72WsPBGol19+GVu3boXJZML333+PeDyORx99FC+++CI8Hg8mTpyIpk2bIpVKISsrC9FoFC+99BKqq6tx6623IhqNyjGiwAsGg3C73bKEocViwc0334z9+/eneSdsNhu++OIL+P1+PPLII5g3b55cIwxnufTSSzF27FhZTpQoDRUIus/Z71QqJWM/gdq15XQ6kZ2dDbPZLJV4ejXsdjsCgYCMm5w9ezY2bdqEa6+9Fjk5OXJNcJ81RsBAJW2sqvq+1sXKv1UjsL54Ku/LtUiFmQov47DV8BXOFcO0mCTs9/vhdDqRn5+Pbdu24Z577kFpaSkmTpyI8ePHpxm24XBYxhKrtfgZeqXGUjM0UEXnAaC8vBxPPfUUPv/8cxgMBvTo0QNPPvlkWk17tRysSlyz3KPHyutUpUkbxqKdT/X30RANTzXOnOMTjUaRSqWkknz11Vdj6tSpGDt2LK677jpcdNFFMBgM2L9/Px577DFcfvnlGDRoEJo1awYAyM7OlkaZyrtURU0b2879CiDNSNPpassG87tE6Uk04HjYH88W4QmMangoPS4Gg0GGXHBtqmV9te8xHPBYvBKkg333RIJUQGZvmrYggporcDDi/lLroKv7j97hG264AXq9Hk888QROPfVUxONxaYjZ7XYkEglUVlbKczhoOHH+GgupwI0W2f+vU8wbE2k3jMFgkAozKws0bdoUmzZtQqtWrdIYgBACXbt2RcuWLfHuu+/ik08+QWlpKQKBABwOBwoLC+FyuZBMJtOQBPXwCCY7qAlAZBon6ehJNRa4ebSHKRDlTSQS2LNnjxSwGzduxI8//ogmTZrg/PPPx2WXXSaFCwAZBhGLxRAMBpGTk4OhQ4ciJycHixcvxnfffQez2YwNGzYgNzdXxqkSvVXd7hQKmzdvBgD5HOYbUBGlghOJRBAKhdCjRw/ZHqLldCe3bNkSHTt2xP79+/H1118DqDtUZ9u2bdi1axd8Ph/efvttNG3aVCouVVVVWLlyJVq0aCGrv1Cgqh6cRCKB8vJyqXjNmTMHqVRtjXGe4GmxWJCfn48mTZrA7/djxYoVkmH7/X6JcF144YUydIHCNZVKyZAwClv2kfNIpc5oNKKsrAw//vgjSktLZcy9yWTCihUrUFVVBavViubNm2PatGnYsGEDevTogR07diAcDmPdunVo1aqVRPlO0tET9xlr6hOQ0CZTZhJivFY1IsrLy/H1119j//792LRpE8rLy/HVV1+hb9++OOWUU2SIDJ+lJpJy32vDIdQwKHqBqHBv374dmzZtQiwWQ+vWrdGpUyfJ2wm+0OhUJWomHsM+NSZi+xhyoL5oxNOgtlgsaNWqFTp27IjFixejZ8+eOPPMMxGLxbBx40ZEIhEMHz4cp556qvSCWK1WbNq0CUCdAqPX19YNt9lsUtGmste+fXvE43Hs2bMHXq9XrgGt4cacL3o56PWoqKjAGWeckXY4IeeZ/JVrQ61cBUDm7aiGgAp+kHjvhk7U/G8gNf9uzpw56N+/P55//nnpvQ4EAnA6ndK4Jmj5v0QnFfMjJG5EIB3JLysrw/LlyzF8+HD069cPPXr0wLnnnos5c+agqKgoDcGxWq2YM2cOwuEw2rVrJytXXHfddRg0aBCys7Nl4igZiNVqhRC1yUwqowEgEyhO0tGTioI6HI6MmdP5+flIJBJYvXo1/v73v2PNmjXQ6XTYvHkzrFYrtm7dimAwiNWrV6ehVURTyODJbFwuF+bMmYMOHTrAYDCgdevW8Pv96NKlCyZOnIiLL75YCnqSz+fDvn378NZbb6Fbt26oqqpKE2I8BIIooNFoxJdffol77rlHKh86nU4qt+FwGDfeeCNuvvlmAHWxpKNGjcKqVavw5ptvynCORCKBqqoq7N69Gy+88AL+/ve/Y+jQoRg7diy+/PJLGX9PA6Z169Zo1qwZDAYDmjVrJsdzwIABGD58OP70pz9JBa2mpgYOh0OWh1TRqY0bN+KOO+5Ay5YtYTQa4fV6kUgkpNuZwtDr9cpkIK/Xi/Xr16OwsBBdu3ZFJBJBTk4Ounbtis8//xwXXnghtmzZIivhTJ48GbNnz8bevXthNBoxY8YMtG3bFsFgEGPHjkV1dTX0ej0uu+wy3HTTTbjxxht/UWUTGxOpSPHBUF2uAVWBVVFLhjhYrVasW7cOF198MS6//HJ899130OtrD/0aM2YMBg4ciHHjxuH000+XB12Rb9LbQlc6FS4A8rAYKg2hUEgenvLee+8BqFW0ly9fjuuvvx5PP/002rVrh+LiYsRiMYm0I7uuT2oeyIn2DB6KVKScuVRAXdUMgkzcgxaLBZMmTcKvf/1rPPvssxgwYAASiQS6du2KF198UR5sxpwWoDYRfufOnbIakzZkhdcRLCCf2rRpEwoLCwFA5gEQNaVszMrKwjPPPINkMokRI0agoKAAy5YtQ0FBgVxPoVAIPp9PhliQd5J/0QNCQ4ChikxoVGW+yt9PKuVHR9zbVVVV8Pl86NOnD3r06AGv1wuXyyVBKTXE6VgTbH/JdFIxP0JiRj6FBUMMvF4v7r33XsyYMQOBQAAWiwUtWrSQQpxl1sikyfjnz58PnU6Hjz/+GA8//DBOO+00PPfcc5LBs1yemsymus+EEHWncp0E8o6aVCWc1UCEEIAt/Rqz2YxTTz0Vd911l0zotFqtWLhwIWbMmIHdu3fDarXC7/fLjH31iF4ycCYout1uXH755bjtttuwaNEiedRwbm4ugsFgWmgLvwcAEyZMgNlsTqtYYLFY5JHRKrrl8/nkyXtAXdhTLBaTR6Azbp6ot9FoRJMmTaTbl+99//33+MMf/oA1a9YAAJYtW4ZLLrlExghyP0SjUfTq1QvTpk3D6aefDp/PJ0uFvvjii2kxmQaDAXPmzEG7du1w4YUXptUu1uv16NChA2bPni2/U1lZKeOIVReqyWSSoTMVFRWYNGkSBg4ciBtvvBF5eXk49dRT8Y9//ENWD3jyySdRVVWFRCKBv/zlLzj77LNx2223YefOnZg7dy4qKytlbOPChQsxffp0zJw5E506dZKhF+r6OElHR/T+8G913pPJZFrIolqCk/WN+erWrRvuuOMOjBo1SvLXK664AqeffjrefvttTJs2DS+99JK8nvuKSdeqsM8UxsN7OhwO6bkhD+/SpQveeustjBkzBueccw7uvfde5OXlpcWwk9QYejVnobEpc6qHlka2ChBQcScPsVqt+Ne//oWZM2fi0ksvxfz58+WJx1dccQWef/55dO7cWSr08Xgczz77rPRckLeR96nyLRKJoGnTpohGo3jyySdlAiHbqJZKjUQiEvDq1q0bvv76axma4vF4JDCmekxoAGhjgjkn9LbQOIlGozK/gNfSs93Y5vGXQJRdGzduxAMPPICHHnoI7dq1k2uL4U46XW0lFvU05v8lOqmYHyEx+z6ZTOLHH3/E9u3b0bZtW8TjcXi9XlgsFkQiEZntz7ABKs8qc9fpdOjdu7dU4N5//31UVlZiyZIluOiii6QiRUaplt3S0knmcOxEdIgluQ7GAPLy8pCbm5uWnLl161YsX74cyWQSp556Kpo1ayYTiGhY8RlAbf3XHTt2YO/evVizZg1CoRC6desmn0EFWxv/27p1a4wePRo7d+5ENBqVdaANBgO2bduGaDSKVq1ayXAng8GAwsJC9OnTRwom4MD61byWAtFiscDn8+Gjjz6SB2mMHj1aovA9evRAQUEBEokEqqurZRUMi8UiUftly5bB5/PJUJuysjLs3LlT3vvzzz+Hy+UCALzzzjsy5IvxrAwJ2LVrF5o1a4bmzZujZcuWsu3sCxU6u90uk/8Y6tK+fXuMGDECOl1twnWTJk2k8tWqVSsZIsSx7t+/P9q1a4dwOIwuXbrIazdt2gSTySSTAIUQsuLHSTo6UhOg1GoeqnGsJvUBdfHH/A7jVaPRKHJzc3HuueeiqKhIGtQWiwW9evXCwoULsXTpUhnaRUCEwAr3AD1Z/FxF55kIzTJ/THajwZufn49vv/0W2dnZ8vlHUnWlMSrlJNVwAOoUUNXjy/EsLS3FDz/8gOzsbPTp0wfdu3eHwWBA06ZNMXnyZHz66adIJpNo1aqVPNOjZ8+eaQo478X7qhU2mPTZq1cvuS44b+p12pwIrp9du3Zh6dKlKC0thcPhgN/vx/fffw+j0YhNmzZh165daWVkVSCFhoOaMKzyzZMo+c8jjnMqlcL777+PWbNmIT8/Xx7SSMNILYf5v0gnFfOjIG7SKVOmYOfOnZg0aRKmT58uqz7MnTsX999/v0QLmTCjoilU3Knw9OnTB6+++iqWLFmCRx55BEOGDEFhYSF0Ol1aiEKmOEU1UfQkHR2RuZMJsByaSkR0WLkBqEOyOSdjxozB3XffLQ+xUUvDAXUxiw6HA/Pnz8fdd98tXdvMSgcgy7RpS0B1795dlj6kICLq88c//hFZWVmYPHkyzGYzPB6PTJw0Go3IyclJCxHhc/g/4yzZl7KyMjz44IOw2WzweDwoKytD37598corr0hE3m63y1My7XY7bDYbWrRoge+++w4DBgyQSBQPR7r11luRTCbh9XoRCoWQnZ0NvV6PyspKfPnll/j4449lvHhOTo5M9gGAq6++Go888giKiorwww8/wOPxID8/P821HolEUF5ejvz8fDz55JM4//zzpbeKY6nWSqb7e9KkSfjiiy/wpz/9CcXFxbjqqqvw6quvolmzZmkKAF33LMd2ko6dyLuo+KghW6pCqF5vNBrhdDqlAR0Oh2VdewDSi8Q593g8ci8xBtzhcEhARC0cQEWf+4X8li51Jpipp4dyrbpcLuTn58sk50xKt8oLGrNCR0ScMoljQ8+Benqp0WjEO++8g8LCQsybNw8FBQVS1lmtVkybNg0PP/ww3nzzTTz55JM47bTT4HK5kEqlZNUlykQm+KpJ3UDtHHLMeC0NY4JbrHoFAPv27UNeXp7k1T6fD/fffz9cLleaQe12u7FgwQIMHDgQN998s7w35x5AmsHGNkaj0bQqI5QZBwvLOkkHJzXWXwiBQCCA/Px8mcRPuWQymWTJaNae/1+ik4r5URA35ebNm1FSUoImTZpIxqzX6zFixAhs2bIFer0eb731Frp37y5Pq1q1ahUqKirQtWtXGTNH5C8vLw8FBQXYuHFjWgwdXblUEtTT7Gjln1TMj420iFkmwUmFXEXKVaRHp9NJdPpIqEOHDjJ0hIoDk5icTifi8TjmzJkjjS4igS6XC7FYTKI4zEOgsvvll1/KvAS2NRKJSAWXiqzBYMBvf/tbbN++HV9++SUMBoMsPbdp0yakUim0aNECTZo0kbXYi4qK0Lp1a1RUVODbb79FmzZt0LFjx7SQg4qKCmzYsAHjx49HXl6e/Mxut6Nz586orq6WfV+5ciX279+PVq1aoXPnzggGg8jNzUVVVRWWL18OIQRGjhyJqqoqNG3aFACkEpaVlQW9vvbo5i1btqCiogLNmzeXwvrHH3/EypUr5bjQiLFarQiFQli7di2uvPJKifqtX78excXFGDBgANxuN5YsWYJ+/fqhe/fu0kVOz1coFDqpmB8jqftKTSzUKuZquB4NSKAOMVeRTaAOIdUaUjQ8GaqlllcjUk/+yqRCIsQOhwPRaBQffvghqqurceWVV0rk2GKxyL0UCoXSQBMAB3g0qeCqvKW+Kt/8HOIYqqi06uHQ5knt2bMHNpsNrVq1AlCn2JtMJnTs2BGlpaVSsVeTKlkNiYAVicaRNvROBUoIItB4AurkJ70b2dnZGDVqFFq2bClPZmbby8rKsH//funx4JzbbDbE43HY7fa0NcnncE1FIpG0ajUco8Y2l42dgsEgvvrqK3z11VcYPXq0BEoy5cpxL5MH/y9Ro1HMyRiAA1ETIsXqJsi0Ieo7650MoWnTpti1a5d0h1MInHbaaXjxxRfx/PPP48orr8RvfvMb/Oc//0EwGMSDDz6I//u//8Ps2bNx9dVXA4BUKIhIMEklNzdXIjw8nZGhMBwjMpBQKAQ0wnWrogkqYsu5VNEz9XqV1HVwvOdUzapXD6xRiaXyiEKr6DqTx7gmVKEP1CHmauJaZWWlzDavqKhAixYt0voVCAQwd+5cWdqQSI9agcBgMMDpdCKZTOLrr7+GwVB7gBWrUFBRYFgNBS3bO2bMGOzduxdz587F4sWLYTQa0bJlS1RVVaFt27Z46aWX0Ldv3zR3MwB88803ePnllxEMBvHwww+jY8eO+Oabb/Dhhx9i9erVyM7OxqxZs2S8vk6nQ9++ffH2229DCIH9+/fj/fffx549e1BRUYEJEybg7rvvBlBb5ea9995D27ZtUVRUhGnTpsk50el0KCoqgsPhwCuvvILhw4fD7XZjxowZeOWVV7Bz507k5+dj7dq1+PTTT7Ft2zZZ35wJaEwyKykpAVCX1AbUHn5UWlqK7t2746abboLFYsG9996L8vJyxGIx/PWvf0X//v3RtWvXRikg1P2jxjJzHah8k0a++p66H+szQVFVajIRw7PUdnH9MSGMp7bu3LkTs2fPRv/+/TFy5EhYLBasXbsWy5YtAwDccMMN8h7l5eVYt24dtm7dCiEErrjiCmRlZSEYDMJut8sSpETjGbv8wAMP4Msvv8RvfvMbySMYuzxv3jyMHz8eQ4YMAVAXBqIFSbRhEEdKKt8jsqj1jnJfZ0paPxaFkbHeDOWhEk4PL/tBBJ0IshrmwqRullblIXv0MvA5JK13kO3m+QX8Xw1lIcLN5wohZPJ+ixYt8Pjjj8u+q/d/6qmncOedd+Kuu+7CuHHj5L1NJhN++9vf4p133kF5eTmGDx8uefSOHTtQVlaGcePGYdiwYdK4UMfjcOOs6i9AnTxQQwu14Tja+WwI5Z/tVMeO7dQS5YvNZpNjr37G9cp8BXq0UqkU9uzZg4suugiRSATr1q1DUVER/H6/DGFRS2oSuCJ6zudwTTCcs6SkBCNGjABQ56FuyBOaM80P26c1zI+UGo1iDqSjKaryluk6LQqj/fyISXdk32ESgsFgkLV41Xao5ehYro1xjlSo1ZAICgESmReZIit5+Hw+mSGujTNXEd9j6ns9kio4gANrKWtJ/TxTH453vzJtlkz/a4UhNxrnQa37q1Y3UAUI78tqBOohN2RcQtRWF3jrrbfkhmbCKI+r53NY4/zOO+9EdnY2pkyZAqPRiEgkItulnoBIYcLSZYMGDUKfPn1w2223YdasWZg0aRLee+89rFixAjU1NTJ8g6UY9Xo9hg8fjuHDh2PKlCl45513cO+99+LFF1/EP//5TzzzzDMYP368VHYohNX8iLlz52Lq1Knwer0AIBGqSCSC3/3ud/jhhx8wY8YMWZlGHecLLrgAn376KW655RZMmzYNkyZNQlZWlnRV+3w+tG7dGlOmTMHAgQOlq5shZgUFBRBC4Pe//z08Ho9MAjQYDHjzzTcxf/58afREo1FMnz5dPv++++7D1KlTMXjw4No1eIT8oqFIRY05x+Q5pCPhqeq1x4UyyCF1fxkMBgQCgbQQIZvNlnbEN/cUj0hv06YNJk2ahMWLF+Paa6/FmjVr0Lt3b+Tl5eGDDz7A/fffj0mTJmHatGnyTIBkMokZM2bg/fffh06nw7nnnou8vDx5RgQAWK1WRKNRuWcMBgPy8vJk/XRSKpXCypUrce+992LNmjVo1qxZWmiY1uhQFS8t2HTQYdOlH2ilhliopM5nJo/EYUmZHy3gxXbr9fo0UEIIIXkSPX8qn2diKHN2KJvIvzI9i78zKbn8X8urtXJErVamyhA1uZhAF09Opsc0Ozsb99xzDzp37ox3330X3bp1Q5s2baDT6bBixQpUVlbib3/7G9xudxoIQl4uy8Qehi/wfY5VJkNOVYa1XtpD3fvnknbcaeAz5lt78mc8HofL5ZLnV2jXvdpmKuXqmQUMWVRzsSib1HKVrJ8fCoXSTmdlm1OpFNasWYMFCxZgwIABMmQtlUrJs10aasz4XiaA4xetmKuWonajqlandoM3lCvJYrEgGo3igw8+wIYNG+Dz+TBr1izs3bsXF1xwAQoKCvDDDz9gwYIFWLp0KQBg9erVKCkpQfPmzdG8eXMkEgm8+OKL2LFjh8wop7IXDAZxzTXXyINNWEmALvYVK1Zg3759eO6551BaWopLLrkEzZo1a5SlhDJthkzIiPbahnQNHkoQZLqGTFJ1X5vNZslsAEhrX+2TOsdUQIgAMCZdjbdkXB2AtCpAWnQJqI2ZpPLAGE8SFV9VMRBCSOXZarXiV7/6FVwuF84991y8//770qWoTT4WQkimOWLECLz++uuYPHky9Ho9Jk+ejP79+0vjUxtiRYbcpUsXXHXVVUgmk2jdujVCoRAeZCjjiQAAIABJREFUeeQRBINBdO/eHeeddx5GjBghlXr1+06nU9Y6pgHLcVXnhKEvFGwcb17DA5ZcLhfGjBkjBUssFkN2drY0YqxWK9auXYvFixdjwoQJOPPMMwH8VMmhkUWOqUyfwl4V6iq6x3WmenNIWuXxeBOVGK4lIQRmzpwpz4D4+OOP4fV68fXXX+O+++6D0WjEhRdeiN69e8NoNMrQEYPBgD59+mDixInYuXMnnnjiCVitVtTU1GD8+PE477zz5MFRQK2BunfvXjkWPp9PrnPuOZLVapXenmuuuQadO3fGvffem7Y3fT4fzjvvPLRu3Vr2i0qeqsRzTLXjerhxVnmgamDRuCYfUD1zWpSTSrUaB30k86PyCd6L+5Fy12AwYMSIEVi8eDEeffRRacxQoUokEhg2bBjatGmDJk2aHLSvKl/lesykIGoV7kxjdTBU99FHH0UkEoHBYMCHH34oEw4vueQS9OjRI+1Ez9/+9rcoKSnBc889Jw2J6upqjBo1SiL47KM6D0wWPRyxD9yffK7queX4qnuYn3P+61M+qoYWFWetfkGv7C233IJt27Zh9uzZACDP7eB3otEo/vCHP2DYsGEAassjrlixAps3b8YFF1yAtm3bpoVxUgnnWC1duhSffPIJ1q5di3A4jP/85z/YvHmzPBWayf/vvfce9Ho9AoEArFarNBpPBKn5K6oxpe7XI6ZMKHVDv3r27CnOPvtsodfrxXfffSd8Pp9QKZlMCiGESKVSIpFIiEQiIZLJpPydSqXEsRJ++jkSKi8vF9dff72w2WzC4XAIAKJ3797iq6++EqlUSrzxxhuiqKhIABB5eXkCgJg5c6YQQoi//OUvwmQyCaPRKACI4uJi4Xa7hcFgEADEeeedJ9avXy+EEMLj8Yht27bJfk+aNEkAECaTSQAQbdu2FcuWLTugD0faj4aiRCIhNm7cKMrKyuR7qVRKzhn/TiQScm5/7nweC7EtQhx8LNm+QCAghBDiqaeeEmazWVx77bXC7/eLZDKZ1vZEIiFCoZAIBALy/bfeeku4XC5xySWXCL/fL7xer/B4PMLj8YhYLCaCwaAcg1gsJpLJpIjH4/J/dYxCoZD485//LB5++OG08fP7/aK6ulpEIhG5ftR27d27V7aXFIvFxLBhw0TLli3FBx98IJLJpPB4PPIaj8cjQqGQ/P/mm28WBoNBTJs2Td4/Go3KcWL7IpGIiMfj8pp4PC4SiYQQQoi77rpLmEwm0axZMzF//nx5jXYMY7GYEEKIe+65RwAQf/7zn0VNTY245pprhMViEfv37xcDBgwQzZs3F6tWrRLRaFQEg0H5XI7fzp07xa233ioee+wxeX+/3y/C4bBsG9sejUbFiy++KHJyckQ0GhXxeFxEo1FRU1PTKPcZSd1b0WhUvjhv4XBYfP3116KmpkakUikRiUTkHB3vPafuo1QqJUKhkPD7/cLj8cj2de7cWeh0OskD9Xq9cLlcQq/XC6fTKWbOnCnXC/cD94IQQsybN08UFxcLAOLuu+8WkUgkrR/xeFxs375djBgxQuj1egFAfP/990KIuj0Rj8dFLBYTsVhMRKNREYvF5NovKytLax8AMXLkSPHjjz/KtamuVW2/j4VUXsT/OX9sI9d0MpkUO3bsELt27ZJjqu65Q82pdn5isZjsE3lTJBKR4xgKheS4p1IpMXnyZFFQUCB0Op0wmUzCZDIJl8slunbtKpYvX572fHXujnadHer6w92vQ4cOAoAwm82yfVarVUyfPl3s27dP9q2iokIIIcSqVatEx44d5XfGjRsnn6M+K5lMikAgIHmxOp6Z2qjtj8qXuUfJwysqKsSmTZukXAyHwyIajR6wLuqDqFvF43ERDAZFdXW1SCaTaWuF8i8Wi4kFCxaIrl27Cp1OJxwOh7Db7cJgMAi9Xi/uu+8+EQ6H5b3Xr18vevToIfLz88Vnn30mUqmUqK6ulmuK/WU7fve730ldymAwCIfDISwWi/zfarWKoqIiYbVaxcUXXyy2bNmS1pcTxac5t5xPn88n1q1bJwCIIUOGiJ49e9Y27zCvRoOYi5+sUCJ1qnuKpFoiOl3dCW0NRS6XC8OGDZMnAfr9fjRp0gTNmzeHELWne06cOFGe9ujz+XDaaachHo/j/PPPh81mQ3V1NQBINz3DGk4//XSccsopEulxuVwSaT3rrLPkUcMsF8YDXBKJBNBIzxjiIiPyyvnjvKrhQNrQoIZoWyb36KFIp6s7jpnI8tKlS3HHHXfAZrNJdxvLsgWDQSQSCRlysXHjRokAA5CWPwBZN5hxjOr3WVlCjd+zWCzyOHkVPWasqJrERHSH32P8H9EZovyxWAyVlZUSbWaIDREIuqovueQSWK1WlJeX48knn8SwYcPQvXt36c7m2BLtF6IuDpWH/MyaNQunn346hg0bhi+++AKff/45fD4fOnbsiDvvvFPeC6hFkUaPHo3c3Fx4PB78/ve/x9KlS2GxWGC322GxWFBWVoaHHnoILVu2lHHlnGfykxUrVmDixIkSYec8eL1ezJ07FxMmTEAikcDMmTNRUlKC22+/XYbiAGjU1QG0seMMoxKKC52151UBcLAwguPdNu4XJnTp9XqMHTsW5eXlsNvtaWg+UbEePXpIlJxhBCaTSXqGunbtittvvx27d+/GOeecI+c8EonI/eRyuXD55ZejZ8+eAIDc3Ny0hESOD+PY1dDDpk2bYtKkSWnJp6eddhoKCwvTUE8g3SP4c0hFrdW/ue+1yDbbrF53LKR+V9u3RCKBYDAIo9Eok9ZZRnT//v1IpVLIy8uTydLt2rWT32NI3/EidY2rqCTbLhUboxFXX301ysvLZQI9Twc+88wz4XQ6EQqFEI/HZWhghw4dcMMNN+D777+Hy+XC8OHD5XN5iBQ9apwPbcKvlrT7Sg3vVNF+ziGT+NW47Uz3qQ9Sw+K4BrTriYe8WSwW9OjRA+PGjUNFRQUSiYRMnLZYLBg5cqTM12AIb3l5OWpqamSYE+dE1eO4J8855xzk5ORILyZDQCkPAUg+36tXL1mEQ96rgTyb2vHhvGn3aaZrD3vjE/3q2bOnGDJkiAAgvvnmG1FdXS2RjHg8LhEALdEqOR6I+X/LT2Mgzkc8HhcbNmwQpaWlEpVSLWNeq6JODYEMHKy9Qhwa8eJ1kUhEPPPMMyI3N1cAEA6HQ+h0OqHX64XRaBROp1Pk5OQIi8Ui9Hq9sNlsEnUzGo3ipptuEh6PR95T9R4Q8YrFYqKyslLs379f+Hw+OW5ET8LhsLj11lvF1KlT5XgSqSbyTsReRVwCgYBIpVIiGAzK7wghxJAhQ0ROTo544403JCrp8/nks4UQIhqNilAoJIQQwuv1iosuukgAEM8++6wQona+/X6/8Pv9aWNWUVEhwuGw2Ldvn5g6daowm81Cr9eLJUuWiFgsJsaNGycRzYEDB4pkMim8Xq/w+/0ikUhIhDeVSom//OUvwu12CwAiOztb7N+/X1x44YUCgNDpdBJ5NZvNcrztdrvIyckRAMTTTz+dhlDF43Hx/fffi549e4rt27eLpUuXiuzsbHHuueeKqqoqiWgFAgERj8cb1T4Tom5Nsi9EVNXP6U3xeDzis88+E5WVlfJ6oq/1jZiTyNO5BrmeiNqqiHgsFhNer1deV11dLVFtrVxgv4nMa8eBe4CoIJFhv98v9xvXBfeO1+uV3+d6IVqqjq/q0T0cLz6ScVbnNBKJSK+O+hnR1h9++EHs2LFDen04n4cj7fyoe4LjS49AOBwW1dXVoqamRnolyHP8fr/Yu3ev/L4QQo5dPB6Xnrufy9e139V6FTJdr3rO2FbVg1dZWSkqKyulZ4Drj99PJpMiHA5LL0pVVZX0gHo8nrR7H44vsP+xWExEIhG5xlVKJBKitLRUrFu3Lm0vHEz/Od6k7k3KokQiccJ1msauD2m9//Q6UN6uW7dO6HS6o0LMdeIYLezjSb169RIOhwOfffYZvvvuOzRr1kxasYx3UpGrg71/rH2xWv47jtqORCOHv6gBSLX+d+zYgZycHHk8NlBXOktF6ziftNT5Hue0oZD0/5a1cJLql6KxaNr/J4qPppTYX9Z11+l08tRU1RvFg1Y6deqEwsJC6cU6HOp3LHRyHx0bPybfI5LIk3/p6SLKSi8kD/BizLsQdXlYh1qTJ+enfkg75/Tss8xmOByWHiR6E9RcmfLyclRXV6Nz586wWCwy+VZFYOuDdDpdmoeSMpynRDvsjnp5bn2SlkcDP59Pa/URKtJAOi+mJzoYDGLnzp3o1q0bBg0ahEAggK+++uqwykyjCWXhEbdlZWXQ6/Ww2+0yu1t7KiOZD13S2sTCo6X1WH/Ya7gxgsGgLAPFMBQmi/CwGIfDAavVKrP1eZw3K67YbDYYjUYEg0GZtKfT6aRrRnXVccNyA4fDYZmgZDQaYTabZQLKFrHlqPteH6Qml+3evRuhUEgekMP51IaRcD5VN6q6CRpM8el2+EtO0knavHnziW4CgLo9ooYzAOlJZSw5Fo1GUV5eDofDgWAwKPekKvSPlwG8HuvRvVv343KvXyKt/249tuDo+bEa+sW54bzQTc/SuTqdDnv37k0LNWN5xcMlf/6vz0990datW9P+p+Grht1wXmgQqyGGVVVVqKmpgdPphE6nk+cxUOk7XiFTKjFURD25nOEqpG/xbVpYKtcgdR/qQgQHcnNz4XK5ZLiu1WqVJRPD4bDUCRiCwpA1q9UKm80Gv9+PQCAgS5qyaguTuZPJJHJycmQCKUPN+LfJZMJmQ/3xaK1izhdD4UwmkzwNfs+ePQctPXkwahSKucqAmNnLeDAyG1U54yCws9oYyfpQ4ljWJxwOy9irQCAgrd94PA6v1yutJSLGZKQ8cl2NtwsEAmkxcTzEQLW8yKB5MINaOoiTT8W8IePtD0UqE2K7GTvH+eXnQJ1izj6oMdP8vKEU81WrV6HvmX0b5Fkn6ZdJq1avQgihE90MAOl7g0KBfIJ8xGazyfJujDUPh8OSfwHIGE/6c2nV6lWyjRScLOmpVi9i5QyHw4FYLAa32w2n0wmv1wufzycBDR7dTTCDQr6oqAgA4PP50ngu+YoKBqhKrZrPRJ7FzzgujI+l8hIOhxGJRGS5zYPRz1kfai4J54XlP4UQ8tAstVQjTxFWy6QeSjEHgJWrVgKo49PMoXA4HHK9MGeEShnHnnWlmTPAdvPws0AggEgkApvNJhUrXqP+1v59NER5oTUqVTCMiq3b7ZYIps/nk3oD5Sj/t9lsiMVi8Hg8AGqrW7GSlclkQiQSkf8TFVUpgEDa/+pJl+r1VCJZ5SSZTEowL5FIIBqNyth+tb5/fRD3Aj00rKzCqAU1549yWq1fHo1G4fP50spmut1uyYe8Xi9isZj0FnAtM2eE649eIiL11HP0er0cj2g0Co/HI/Uu1avANUpeUx9GDMeLpCrl/IzznPyp5DEB26OZw0ahmKuMkKUFrVarTIIgU1U34sEsyPpawFy4Ol1tXWkuUvUAjJYtW6ZtPlqBer0+zRLV6XQyAUKv18ta0eoBBmS4ar9ZV5RjQjQslao7erwxEOeAm6eoqAhutzttPoEDGSvf0yrmx1Ru6GdQVXXVAX1RhRPDp3hccygUksKb8xiJRJCVlSVr09PDQSYbDofh8/nkfbgGmJxH4cJn85Cc1E8lzLjuKATV5LpEIoGsrCz5fSozDodDHuZANIQCIjs7GwaDAdXV1WlJTnRx8nnhcFiWW2RfuReDwaAsH6mu0aysLMRiMXi9XnloE5OvhBAy6Y/KRCpVW8OfY0rhRWHAOTCbzbLOv9lsRmVlZZqSRU8TD2dijXUKCK4rzhsRGTUpkEyeLl2r1Qq0bZh1eCSkJhhRiKkucwASreJaadGiBdxut0w059qszz2m8mvOj8oH1GezLW63O+2cgEQigRYtWkhlRw2N0+v1MglfNTYoK6ikqrxJHUN1r5G4j202m+T5VFS5Vo83ce9zPlWQh8CN1WpNC20xGo1o0qQJIpGIlFHasq2ZSOtp5n4kWitEbd1yyiLyZXpgiJ6qa4+JkVSAmYCbyYjRzvuxjhVwoNw3m80IBALSIGAycPKnQ8eSyaT0NrNvQJ0SSlmuto8KIPuiXYeZSEXH1TBNjh3PR7HZbDCbzXA4HLDb7XIth0KhtBOo62PNqR56gqEs6UveqQXOmIAdiUQQi8XQokWLtIIDLNfr9XrhcDhkAQTqPwy9owHFMwW4D/Py8uSzKH8sFotc6zSiOC/qPKk85njToUJZVG8IvSDhcDitVvuRUqNQzIG6DrvdbqnQkNRQFi063pCkCn11gxC51y6GQ6HYFDZA3XHDqnDk5+r3VWRCVWjJGBsbMa7VbrdL6xtAmjV7IufzUKSdu4PFutvtdumOU+eCiqwQAi6XK22+k8mkVDKJPnG9B4NByYBUgcjDftQa3kDtWGZnZ8v1Q+GhriWn0ykFAMOsVFIrwRQXF2dUYvg3DVQqKkCdgHc6nTIUSxsiQYVcfX52dvYBY87nsdoKFSu1PeocUAAIISRySsSFRgzRHhpUbrdb9kU9nS3x08FDJJ/PB6fTKe9HZtuYiWPhcrkA1CndNLDsdjucTiecTmdaHHp9EtcMgLTQQ+1zuUdYPYangZIYRqheC9QankajMa1uPdeMVvlU1yaQuQ44FQwqRqyepLa7oTyUKt+hEqzmVRG5d7lcks8c6ZyqfRBCyIor6v1Vo0YbTprpGXyfXhohhDQMD9W3+iCuHyqWnEMq35nCYBnTb7PZpAJNcIAVSdS+qOvwSEjtsxp2xLElUkzeqBo19Qk6qnXV2Sdt+I3Wo03vjMPhSKsapsomjjf5EZVxzgvXLuUTx8DhcKSdZREKhWCxWGC1WmVdebaJ3iygfkJ9jpQIGrEdrDTldruP2uvf6BRzhmrQ4leZLJDOSA/FHOqD1MVIxJvxRDwEgwyAm15VsGmtA5BCJBqNwu/3w2AwyKOi+SyLxSItSKLzwWAQOp0OTqdTutZUgdQYiMyGbi0iFGrcJElrfGiFBdDAMeY4+OFDRMyYC8A55vt0r5No6RPNZjgPUaecnJy0tQFAIudAnSFGVIcMjcKSTE9VkonyqG5CNcaYBgDnQS3XpSqqqnuRz+d6DwQC8Hg8MJvNch0yBlBl8mxrZWUlnE4n8vPz5Z7mHqfRoSb+ate92l4iOtxjVPjZT1V4qEYCUUeDwYBQKCTDBKhw1NTUIJVKSbTQbDbLQ6CY86K6ShsLqfxF9S5SGQfqPJIMXyEP42daV+zxJo41Q9m47riu+FwaR0nlMC51vRgMBonmqaAG+a/KI7gGuVe4jvhMLYLLMBCuO64Nusq5vrmm68uLp46/dj5pMHA+GX6iHnKjKkeHa5/6LPIlyjjycI6XqrCp4UjqyZp8j/Ka4TDqWKnP1PL5n0tcK0Rqs7Ky0uZa9aQAkB4I8nLKbvIKNYRJDb9iSUDgyBRBdT60JzKrY5BIJGTsdSwWS9sf9Sn/OB7qvHPtaQ9zAyDXQDwel94bIURaFADbTB7MfpAXJJNJeDweWRKRnk1VH+AhjCwXrMouVf8C0sEjzpcK7h5vygTaqf9TdkciERnKcjRyo9FIGBWRU60OvrgwyNxpWZIhqC91gx6vF5/PzWK1WuF2u+XCY5wkXXlkXuFwGF6vVwoWLjBVUGRlZUnBb7VapQXKhcXNbLFYpEeBAoQuxZ/j4jreY0UiUqZVxNX5pDuPCpfqOuMGq485Pdx40BrXvgwGA5xOZ1osKuft9ttvR79+/fDee+9JhdZms2H16tXo27cvrrrqKlRVVUlGRvd0LBZLSwTiBqarFcABSoHqZlVzEwwGA7Zs2YKLL74Y69atk4orUW66K1WlnIq1qlBT6X7vvffQsmVLXH/99XJsHA6HrFtMxaG6uhq9e/fGqlWr5H7hXBYVFeGFF15Ax44dMX36dOj1dQnQQC3i4na7ZaIPEX8KVfW3w+FATk4OXC5XmpLFPUU+ws+EEHIuKExpTOzZsweXXHIJzjzzTFk5iOPJ/UxBTeNBNYzqg88cK1/iPqEQ5JxTgHEPqaTuLa0H7ni+VMSccaFc5zS21DAMGrhUVFKpFGw2W1p1i2g0KpVy8gm1D1rkiiGG3NvaF1336rrk2GmNCBqx9TVWaru0oT/cU7yO/VS/c6R8jmuAvIgGgLruuefJp6nIcg7ZZhrC3LcEJFTQgPfiSzWYjoVUPg2ke5Lz8vKQTCbTzlVQ1wdlNUPyyA9VdJ08jAYK14LFYpE1tbV9yvTiPPEZaniSOqdqXzL9rq81x/UDQM49AUd17rgnCYwQzVeTRgmqkOeqYJIQIu2e5PVq7okQIi10hftO9Xyq3jfei6FB5HVs7/Hm0+q6I1/ji/KH48e5Vg2VI6VGUy7R5XLhk08+wbp169C6dWvpVgOQJhC17aWSV99uRQo7LWKfSqUkCs6YXHUiWb6MqCmZAAUJUJeoo/aJxMVIC1CIA0Ml2D4+kwKMz1ARRbZbtS7rY+zI1LZu3YqcnBw0adJEvq9FQdX2N9R8qpvMaGg0jqOT1AgpJVIyjp8ITmMiLeoN1O0topUED9atW4cOHTogLy9Pvn+07vijJVWYMkxCdY1TMSE6p3qhGNpC9JXIujbJEagLNVTDk/gs8kq6zKkkkBerHgZV6Kp8iYadiqzXB2WaT76nhocJIbBjxw6YTCa0bt1avqfyWHqwVN6qhm4R2GG/1WIKRExVQ0A1mFU5poYd0LCigaPmnqjyLJNXGahD71UAR1VsuT74W10rfKbq/VPHS10TnEMaeFTq+IxMhirngog2w+V4DyrybAPvxyPrhRCyjVzbAOR7+/btQ1VVFTp06JA2F6pRUR/rDahDqKkncA1xLtXcHIYpqQopdQyOM+ea+5W8U13LvIbPYg4d9yvHUJ03dXz5vprDp+7l+horrZLOfcf2cG9Fo1Fs3LgRPXv2xFlnnQWfz/fLKpd4MGJnVatD6xrTuhXqY1JoZQN1jEPNmKd1pBWGLpdLWnI0MOhOV+NZ1dh13oNuIb/fj6ysrDSUk4lJTqczLemT40UGoW5+tknrlqqPsVLbk+kzFX1S/880n5nu83NJZQ4n6SQdivQ6PariVRIFakyUSXnLJMxVPqrda5nCC453G7UKhbr/1Lh9orJsq1rdwG63y+uIvFE4s9IMEW8KxWg0iqysLPlMKl+q8qEV5KpRY7FYJO9WFX/KofoYK+0YHYxXag0qdV6BOkCL6CMAqahqQ3yYn8JkbipQlB1UoFUZpiqvfCYNHzWsjLkMqkGghiFwPFX0k+uVpFXQtNdTOeL8UMlkTgJRWYbbsW1qiJC6DtS2su8ApAeACqROp5NheWyjuoapmLPEMT2WapicOmdquJL6mXZu64NUwEzlHWqFHyLqnGeuFdUgZH+BOg9wOByWsdbqvVjsgGOvjjUNIJ7OqhpdRO05xkB6hEVDkLovVaP4eFCjV8xV0gqcg11TH0SrXM2QBmoXs8vlkrFhqtuTbSFazvsAte50bl6VSZJZsC96vR7Z2dky3IGMh2Wd1HsQIeB1WqZNq74+rW8+S/2tvq81qA6neNd3OxtTvPBJarzE0DI1vrQxkLrXVMGQ6ffB+Oeh+OnxaqPK50iMVWW7qVhREaAAtlqtsnIDkW4m5IVCIelSV/kmlSfGiFNx0nrk1PK1VBa1ijdRQRWpq28D7WDzqfKrTN5F9W+GmdG4YD6SitqqgBEVVio8lBlqeAvlEOUUPQtqTD6VLNa2Zt4GiWOrouWqN0S9TuX/NAgApClvKlhHz4zZbJbXqnIZQJoMVJ+lhnPw2eoz1XWgJi+q1wcCAVm8gvKWxBANu90uEXf1+drQsoaSTZxPNZ6chi6NWhX8U/eM6imhIat659VnqHlmqvdCe9+1a9ciGo1i8ODB0hjnGuCaVr0nWqpvDyBwIF89GMinIutHo8c0eq0kk4u2IUn3049Bb4DVYoVBb4BBb5DvW8wWGA1GZLmy4LA7YLVYodfpodfp5TXqj/o+72PQG2AymmAxW2A2meU1RoMx7Tl2mx1WixUmo0m+Z9AboNfp5bVGgxFWizXtPlaLFRZzHfIj+1aPSm/aGP5Mi78+lQZ1AwdDQSSSCfj8Pni8HsQTcQgIfPPtNxg4aCCgA3Jyc2AymwAdAB1wx6Q7EI6EkUgmULKtBNu2b0NFZQVSIoVoLIpkKon/e///UFhUiL79+mLX7l0QEEimkhAQiMaiiCfiSIkUEskEgqEgItEIPl72MVq2aolu3bvhu++/Q35BPs4Zeg727tsLAQF/wI9YPAYBgUQygUQygV27d2HosKEoblaMZCqJaCyKSDQinxdPxJFIJpASKcQTcVx3/XWADnjo4YeQTCXx3fffoWevnigsKsTiJYvh9XkhIBBPxDH9sekwGA247PLL0trv8Xow/NzhyMvPk/3hd8RPPxarBeOuGof9FfvlexWVFfD6vIhEIwiGgvD6vAgEAwiGgnL8/QG/vJ8/4IfH60F1TTVC4RCqqqsQDAURT8QRiUYQCAYQT8SxYOEC5Bfko2RbCf49+99wupwYf814VFZVyvZGY1GkRAr7K/bjvJHnATogy52FgsICFBYVoknTJrDZbbDa6qovqMrGL4Uy8c2G5p9AXWUYvb6WT/Gl1+lht9lhNplhMprkb/JD8i0ddJL32aw2yessZgtysnNgNBhhNpmR5cqCzWo7gM9azBbodXqYjCbYbfa0e6g/5Kv8m/yZQldVHokk18dYHYq0oRWZUDpVZlJZpUFD5Fqt/UyFU6vs0rgxGAzw+XzSICEKT7AqEonIHCEq6OFwGFVVVfD7/WkhDSRWPWF+karUqCGfRMKZ6K16Pdhuxn1TWWY+F4C0QhI6XV0ZSS0YxlhvbfUg9odtUPcPw3xYTpVGIr3oqlLOii42my2jYcc2addVQ+xXKrgRXO/aAAAgAElEQVRqaFEwGERNTY3cD2aTGTarTe4v7Q/3p3bv8acgvwBmk1nqKOr+p97E/db3zL4YMnhIRr2JPMLpcMrrjQYjLGYLLGaL3LeNyRN+LHP4i0LMtcKlPhU2oFYp/28iMi4AaQh+fY9jY6S0zfJT92mJq+5SutF+9atfoVOnTjAajfD7/bLm7PDhwyWC16ZNGwQCAaxcuRLl5eUYPHgwiouLJbKkWvJ8PlFYrYDp2rWr9Kp06dIFer1exuonk0mZOEOB9/HHH2PVqlVo27YtRowYIWMFd+7ciXnz5qF58+b49a9/LVEeCg6z2QyXywW9Xo+mTZvKJFMeYgLUCqmRI0eipqYGffr0kcjip59+io8++gjt2rVDv3795LU+nw9ZWVnYtm0bFi1ahDFjxuCCCy5AQUEBSkpKMH/+fCSTSemeZCKfmp2vomSJRAL9+vVD//795ZRx3ChQKMxbtGiBrKwstG3bFlu3boXBYIDb7UZubi6EELJU4oIFC7B8+XKcccYZ6N+/Pzwej1QWmPyp1+vxN/wNQF3Mqhp+1thIi7Jq6WACoiF4QDKZhNnUuMKAjpTsNnutgauE/zUEmplpPtX/2Z5WLVtpvohayX6wpao6fKw/vQDgUKeuZyl/m356AYD9p5eWbABaHuReZs11WtLj0JChEZk1F7Pm3lCuU1MCMp0LdbClyaFne7TfNWt+H4zUMc/0fP1P92gJOW4pkX7YYH2TWlHFYrFItPyXSAa9AQINA0IcLRp+JNToFfNMaOuJUCRTota1Om/ePNx0003weDwYNWoUhg8fjlGjRqFVq1ZSSVITbj7++GO8++67eOutt1BWVoazzz4bvXr1QiqVgtvtRnV1NXw+HwYPHoxLL70UQgisWbMGS5cuxfz581FSUoK2bdvizTffRLdu3ZBKpVBVVYXXX38d7733HpYtW4bLL78cI0eORL9+/VBQUACDwQC/3w+gVoFxOmo5tFrJI1O4S0OQalydSIOAyFEymZRMlZUfWFmH8YOsId67d29MmDABAPDNN99g3rx5aa5golL33XcfvvnmG7z88su48sorZRwek4XUigpEggCgsrIS//jHPxAKhbBjxw6UlpbCbDbj+uuvRzwex/r163HzzTfD6XRCr9fjggsuQDgcxhtvvIH//Oc/iEajuPTSS2Gz2XDXXXehsLAQq1evxrx58wAAEyZMwFNPPSURGyJZdHWz8gLdmiaTCevXr8fixYtRXl4Os9mMzz77DMuXL0c4HMa8efOwb98+DB8+HIWFhXj66adx/vnno3379kgmkwgEAqiqqsK///1v2ceysjJUVR14gBPHWYjaGtxEuhjX6vP5EAgE4HQ6JVJmt9tRXl6OxYsX44cffkA4HMa+ffsQiUQwYcIE/PjjjwiFQvjggw8wceJE5OXlSbc2AFlZgFUW1HjbnJyctNr7bEdjNmK1e+tg+RsNjZozjEJVFBPJuqSxaDQqjcBUKoWFCxdi2bJlMjb11VdfhcFggMfjkfyVyCKrrQC1/V66dCkWLVqE7Oxs6PV67NmzB7Nnz4bL5cK7776LAQMGyO/985//xMSJE9GiRQtcddVVAGrHqKamBosWLUJpaSko27lGmBDZEO7yTLxSKw8b83o8ST+P9Do9krq6EJL6lpkEQSgXVMQ/marVF3w+H1577TXcdtttsNls+NWvfoUhQ4bgsssug9PpxCeffIK3334bixYtws6dO3HmmWdi6NChePDBBwFAVtKjPGRIj16vx2OPPYZ77rkHN9xwAyZOnIiXX34Zr776KsrKyjBs2DA8/vjj6Nq1a1oVm2QymVZY40Qa/5n46jHv0UyusYZ+9ezZU5x11lkCgFi3bp3wer1CCCFSqZRIpVIiHo8LIYRIJpMimUzKz+qboPyozxs6dKg45ZRTxIcffijfSyQSIpFIiFQqJRKJhIhGo7KdsVhMjB07VjgcDvHcc8/JvqRSKfH555+LwsJC0adPH7Fjxw5RUlIiwuGwEEKIu+++WxgMBvHQQw8JIYSIx+MimUzK8fj444/FGWecIbZu3SrbFw6HRWVlpYhEIiKRSKT1IxgMyu+ybfU5jvF4XGzcuFGUlZXJ56RSKTmH/P9EEPueSCTk+CSTSZFIJEQ4HBaxWEy2bfny5aJTp06iX79+Yu3atSKZTIrHHntMWK1WcfXVVwuPxyPvW1paKoYMGSKKiorEwoULhRBCLF26VBQXF4uzzz5b7N+/XwghRDQaFZFIJG0+SktLBWpVAWE0GgUAYTAYBABhs9mEyWQSBoNB6HQ64XA4xIwZM8TUqVOFXq8XAITdbhcAhE6nk/ewWCzCarUKnU4n7Ha7CAQCQoja9XrNNdcIi8Uipk+fLoQQ4ptvvhE9evQQrVu3Fh988IEQQojXX39d5OfnCwDCZDLJewMQTqdT5OXlyee2adNGfPHFF3J++TsYDIpIJCKCwaDw+/2iqqpK7Nu3T0SjUdn/aDQqysvLxa5du4QQQng8HuH3+4Xf75fjE4vF5N+RSESEw2Gxa9cuMXToUNlvk8kknE6nMJvNQq/XC51OJ8xmsxw/vV4vCgoKxEcffSTC4bC46KKL5Jjq9XphMBhkf4C6/R8Oh+XaaKzENa3uNfX9UCgkVq5cKaqqqg74Xn1SMpkU4XD4AH6aSCREJBIR5eXlIhAISH519913i9zcXLkHAIj27dvLdiaTSREIBITP50ubj3g8Lm6//XZhtVrluuL6aNu2rVi9enVam/71r3+J3Nxcce211wohhAiFQkKI2vV6xRVXiLy8PNneWCwmAoFAWjvrg9S50M4n263yrpKSEtlGUjQalfJHiFo50blzZzmWFotF3HbbbSIQCEiZGo/H076zfv16MWjQoLT9Pn78eLF3716RSqVEOPz/7H13fJRV9v4zPTOZdBJCAEOLEOkg3YWIKCgWxIJiw69uUdYCIr9FsIHKYoNVLIhYACuiiCyKKFU6AqKASyeQkDop0+v9/RGfm/uOE8VdEsMuh08+JFPe9763nPqcc7yisrLyZ+eBf3O+3nrrLdG8eXMBQEyYMEEEg0EpxwKBgEamc+x8dp/PJzwej/B6vcLj8WjOfygUElVVVXIvu91u+TycrxMnTgi/3y/C4bB47LHHBADx4IMPyvuUlZWJw4cPCyGE6Natm+jSpYvYtGmTvEcgENDwaK/XKyZPniySkpJEenq6+Pjjj+UeLi8vl7L+rbfeEmazWVx33XVyrH/6059Eenq6eOaZZ4TP55PP6PF45HhDoVCNDIg6J+q+ry+iXCaPKy8vFwUFBRr+FwgE5Pp27NhRdOnSRezdu1eOjXNdUVEh7r77bmGxWMSMGTNEJBKR61NVVSUcDodwOp1yHoSoObvPP/+8sNvt4u6775ZzedVVV4mEhATx1ltvyXWrrq4W1dXVwuPxiGAwKCKRiPD7/cLtdmvmriGJeir3H/eqz+cTO3bsEABEXl6e6NmzpxCnoBM3Oo95tEdAKFbI7+HtIdErSgwWPXpALY5PLVHI0km05ojfojeW1QDatGmDxx9/HEeOHMETTzyBadOmSe+iEELCCiKRCCoqKpCQkCDvy9rnzBCn9ygxMVHCHAKBgPQIs607s/QJ3agPK1wIbTUB9e9f+mxDEfeSGiL0er2y41jop/bldrsdbdq0wd/+9jd8++23eOSRR7BgwQIMGzYMFosFO3fuxF133YXbb78d+fn5WL58Obp3746xY8eie/fumnuxwUt6ejrMZrOs3cqkF+IOx4wZg8zMTHz00UeIRCIYNWoUXnzxRbRu3Rq33HIL1q9fj+XLl6O4uBjXXHMNzGYzcnJy4HA4MGnSJFRWVmLixIl4+umnkZKSgvvvvx/NmzdHaWmppmtdfHw8QqEQFi5ciN27d6O0tBTHjh1DdnY2EhMTJRbV5XIhOzsbt99+OzIyMuByuRCJ1DTjIeb0wIEDmDNnjgyHqt7lv/71rygtLZUJlNyvagksnolIJIImTZrIykXEjF577bUYPHiwxIgS7+l2u+FwOAAA999/P3Q6HRYsWIBJkyZh3759WLhwIXr37o1rrrkGy5cvh8vlwo033oi+fftCiJpGJOFwGG+//Taqqqpktv/XX3+NZcuWyXCo2WyWLctjdTFsDBQNcYh+LxYkoqHOnpowBkA2uzIYahqrBYNBVFdXw2q1Yvjw4WjevDl0upr6+K+++qqmKRL5l8pzly1bhq+++goAMGPGDBnBatGiBe666y44HA40b94cPp9PeuhCoRAcDofcz2xqZLVa4fV65b4CIFujqz0o6gNeECuRk8I6OnE3ljeOckXFT+fk5OCee+6Bw+HAN998g2+++Ubj8WeSI+WaxWJBs2bNMGbMGIwcORLbtm3DkiVLJP6aETWj0Qifz4fKykop5yjfTp48iRkzZqCsrAz33HMPHnnkEVRUVCAQCMgEVFYOk3IK2n3CM85n53NRBrMsI5N7GQUFavZIQkKCvB6TE5lsbDabkZaWJuEabrdbJsdGIhFUV1dDr9fL95cuXYqFCxfi3HPPxeTJk/Hcc89pKtRwLR5//HEUFxdjypQpMjojhMDNN9+Mdu3aYf/+/XjssccwfPhw9O7dW0L3CIeM5i3cr/UdHVGjadQ5VI+5Xl9T8pC6CaNcPAPkySxWQdw+96AaZbLb7VIPMZlM2LlzJ9555x1EIhFMnToVPXr0kDoUk7Z5Nrnv1G7whIJG85iGIvJbRinVJFf1/d9CjU4xb6xEfDYTPdiiV4jawv/RTJOMjyV/1M8YDAaUlpYiJSUFf/nLX7BkyRKMGTMGM2fOhBAClZWVqK6ulgyMP1TAI5GaTn7E6HKTqpn6vC8VczWp55eymv8XKNZhIVPne263GwaDAVlZWbjxxhvRrFkz3H777SgtLUWnTp2Qm5uLf/zjH5g6dSp69+6NvXv34uuvv8brr7+Oa6+9FoC2BJUaflOrC1AYxsXFITk5Gbfffjtyc3PxzTffQAiBcePG4ZVXXsF5552HCRMmIDMzE6tWrYLL5cL555+PHj16QK/X49ixY/j444+Rn5+P++67D1u3bkUgEMDFF1+M888/X1PT12AwyJJdu3fvxp49e2TVhY4dO2oqDyQkJGDgwIGYNGmSVHhUJhiJRFBSUoIFCxZoksJsNhtCoRC+/PJLFBQUwGazIS4uDiaTSXYt5FkAIJOjhBAyScrlcsmW64MHD5ZniMYTz1uHDh1wzz33wOfz4b333sO4ceOwcuVKLFq0CF27dsX9998vPz927Fjo9XocPXoUbrcbLVq0wOjRozXQrtTUVHz11VfwwiufUQghE7zO0qkTlSqVCEdhFQ8hhITfDRw4EIMGDQIAuFwu2d+CPIvX4/dcLhc2b96M2bNn4+GHH8a9994Lh8MhjcArr7xSwqLcbrc0DM1mM1q2bKk5i3q9Hvn5+TCZTGjdujUO47AcL5WSYDCoKd3YmEjNYaFcSEtLw1133SUN0C1btmgSPVWFloZwYmIibrnlFphMJixduhTr16+Hw+H4mXKsVhIBarv9fvvtt1i6dCl69+6Nu+++Gw899BCqq6vl3NEgJ09Sx08ewj0jRG3iKO+lKonqc/OawWBQQv4CgQASExNl6WLyX9WBxv2gyk/CpSorK/Hll19i6dKlePnll3Hbbbfh2WeflWPjdwHgmWeeQf/+/fH8888jPj5e8qs//OEP6Nu3L2655Ra8+eabaNq0KXr37i35sVoxKJqidYvTTbw+5RNQowBHGwmqEs7PUQfi96mQqg3d+F2hwGPUud6+fTtmzpyJK6+8Ek8//bRs5sQf7gneG6hNEKZOFu1kO9PprGJ+ikRGZDQapXKh1jMnEYvK3+nV5utU0IUQaNKkiTxsTDhzOp2w2+2Ij4+XihM9ROyEpY4JqN2sarH/6PKM/LzaUOJ/mcgQ/X6/TMyJj4//WW1aro/RaMRFF12EN954A+eee65kRiNHjkR2djZ69OiBiy66CFdccQX69OkjvbmMTADaLoT8mwyFTJFJl0ajER6PR3oEWQOWQordXylk/vGPf2D9+vUYMmQI8vLykJ6ejgkTJmDz5s148skn0b9/f0ycOFEmZgaDQbhcLhgMBlxzzTUYOXIk9u/fj7lz56KkpATV1dVyPH6/H1VVVXKs6p5ibWCn0yk76dGrzLE98cQTmoTVxMREzVkgBp+ekOrqaplcW15ejhUrVsgETyoCZMwUCKo3j4q9xWJBamoqEhIS4PV64XQ6JfYYqBEWqamp2LJlC55++mncc889UnjrdDUtxamYE3ufkpLSIPvzv4liKRQ6nU4qyFSAuKf5eTof4uPjZXt18k52ZmWSM/ek1+tFIBCQXVypRKol/niG8vLyEBcXh+bNm0tv6rvvvosVK1YgOzsbo0ePxtW4GgCkUQn8PpVtTpU4Zzy7qsKi1+vh8Xjg9XplojkVZM6nanhTyeZZZcRAxfnTS87mOUVFRXjppZdw6NAh3H///RgwYIAsZ8nuqkBNBELtHqr+sMyizWaTSpper5eVQhISEqQ3nAZztAwmfyBVVlZKHqbT1TaA4f90ElA2stX8kiVLsHjxYsTHx2P27Nm48sorJdaa0Tv13pxTGvn01DNJnfdWcyPU/JVo2VyXsl4fROcfPdzqc5GXUw+ifqLuLUYbyTvJ72lM0UvudDphtVqlTOP3Ke+4r7gPyCc4RgAabz7f+2+is4r5KZLqYaCXR31NVZLVEIYKv1HDcmrtWCpscXFx0vpj+IohyVAohLS0NE05Jd6X12ddcx76aKOBn1MPe0MkMTVGopdCVczZ8IBKckpKCnS6mtq0LpcLoVAIffr0weHDh2WSKFDj4WN92latWskQL9dD9QCpDIWKgt/vl0KUjIwtn9Vazgzt01tEIbl7924sX74cP/zwAy699FL06tUL4XAYw4cPh9FoxIcffgiv14tLLrkErVq10gglvV6PAQMGYNSoUTh27Bg+++wzHDlyRNP8ggLG5/NphDkTNoEazyaFilpOTgiBW2+9FTqdDiUlJTIEqsKbqCSEw2F4PB6UlJTAaDSiefPmUiHbtm2b/Lya9EMvDD3wDGuXlpbKjpFerxeVlZVwOp0SvkMFjff/8ssv0bt3b/Tq1UtWblG9vPRYNbaun2cKCSGgFrlSlRKuIWEEhDDZ7Xa4XC4ANUYzlQIKb5X3GY1GJCUlSWWPFXnMZjOSk5OloWi1WmVzttatW6Ndu3aSF8bFxeGf//wnPv30U8ycORMjRoyQ442GIDZWosJMRZAGMw1onlOWS+R3yBOMRqNM1qWcczqdqKysBKBN1lYT78i7HA4H5s6dC4vFgqlTp6J9+/YaDzX5LhVvkuqNVYmyEKjhMeQrfI17gsTnZuUpNgVLT09HmzZtkJmZCYPBoCl76na7kZ2dLaF2aoTnu+++w8KFC3Hvvffi9ttvl6Uj+T/nkM2tmjRpgvj4eFRUVEhHDx1rLA1pMpmkUkrZUBcMjc/C9+pDSVd1Ac6l/F1f+xkaGDwDHJuqXKsQRRUqxTWnvOCzFBUVwePxIDs7G7m5uTIZlOvDBHyuB9df5cWcn4aGw9YnNV4O08iIShYAVFdXy7quJOLM1UYXJLUdNd+rqKiQB5TMhFAGblqz2Qyr1YqCggIcOnQIwWBQbtikpCScOHFCg7Wi8CCp9+M4qIypzTj+F4lWvCoc6N1g2TxCTHbs2IHJkydj//79GtyjysQLCgrg8/nQuXNnTJ8+HcOHD5e4uGiMKJke14CwDWLQaRio3ykqKkJ6ejr27NmDgwcP4vjx4zAajZg2bRree+89zJ07FxdccAGGDBmCO++8Ezt27IDRaERubi62bNmCRYsW4aqrrpKQFY/H87OICwBpALIsIHGhHo8Hu3fvRqtWrVBcXCwFeUpKCrxeL0pLSxEOh+F0OuV79IYajUa8++67eOKJJ3Dy5EkZcaKn7dixY9JzFvmpPGQgEMANN9yASZMmIRAIwOv1wu12IykpSRoxXEfiRVUcoxAChYWFOH78OAoKClBeXi4VMp2ups7yvn37cPjwYWRmZmLSpEkYOXIk0tPT8dprr8HpdMLj8Wj2DKsINKYGQ2cqqd0W6a2m0NbpdLIyDxupORwODexBNcZSUlJgNptRXV2NsrIy/PjjjxgwYADcbjc6d+6MW2+9FSNHjkRWVpaEQbArKPmt1+vF3r17kZaWhtzc3J9FRmhoUxmNj49vlLzTZDIhOTlZ4wWnMcNoIM8k/2YZUCqKlFcqxIzvqVAHQruIzTYYDDhy5AjOO+88Wc+b1yGfVKGe4XAY//rXv1BaWio9tOTJap4KDYm0tDTk5OSgrKwMu3btknkK9OjzHnRM+Xw+pKamIisrCw888AAefPBBqSgzh+bYsWMYNGgQPvroI/Tu3RtutxtlZWVy/9lsNnTq1AnNmzfXQKlUOJNq8Hk8HskDAchmQvwc14jz6PP5YDKZJE+pa0/Vl1KuEiOesWAzNGw5xsrKSg1El1EKrhfPImUqoy08N5SDLVq0wEUXXYTDh2sgY8wZiI+PR2VlpUQSqBXEuKdp8BEy1JgjWb+Vzirmp0hq0hkPfzSshFahijknwyJj8/v9ACATJGhlUvmhVUqFIxgMYv78+TKxifcm7KV79+4aK5JeCdVyJalJKqqF3hgFTH0ThY4agaCCTGOHAqFDhw6YNWsWSkpK5JrTG8Kur48//jiaNWuGsWPHom3btjIsaLPZYnpeVW8CvbwMl9tsNiQnJ8Pr9crk0Egkgg0bNuCOO+5AaWmp/O6dd96JCy+8EP369ZPeKIPBgOuuu04+o81mQ//+/TFnzhzpsSbOU8Vv8vWioiLpIUtOTobP58PmzZtxxx13ICkpCX6/H9XV1UhNTZUMtqqqSkZ+VBwq91ZeXh5at24tDdikpCS0aNECu3btwt/+9jds374dOp0OGRkZ+Oqrr+ByuZCcnAybzSYVZBo6KlaeCprf75feFdaZZ4Rp8eLF+P7773HixAm88MILCAQCmD59Ot5++22Ul5cjHA7j7rvvhtPphNPpxNixY2VCIInRif/GsGlDUCweQ88u8x1UOEMkEoHFYtHk6UTDqAwGg1QAqeC/8cYb2LhxIz7//HPY7Xbs27cPs2fPxmeffYZ58+YhOztbOj3I04UQePPNN/HWW2/h0ksvxcKFC9G2bdsaRcRQey/ur/pKmD8dxPPFiBehPiTOtRptpUOJ31OT7igz4uPjNcYII4a8ltFoRGlpKWbMmIE//elPGDhwIJo1axbTgwrUyDGHw4EPP/wQb7/9tuZ9RslcLpcGuvTQQw8hOzsbixcvxhNPPCHlK2ES9KLSW67T6XDddddh7NixyMrKAlBrENDoS01NRWpqKvx+P3Q6Hex2u3RKfPbZZ9i/fz9effVV5OTkSIcDHTaU5UANNMdms0ljiPALFYpBXqtGqalPAFqPNamh5HR0pF/eW6/9DMeu5guRF1OOqdERkprTpu5NvV4v84goS7lfec5UKBqvzb3736q/nFXMT5GiISHElqkHSVV4VUZDhqcy9Oh2vHzd5/NJpY8Ch4KEjJJeBb/fD5/PpwnL894q5lZtoKOOP5pZ/i8RFcpoKzs6EcxkMiEjIwPp6ekaBkDmEgqF8N1336FDhw648sor0aNHDwnzoEclOkmK11EVE47H6XRi5cqVKCoqQvv27ZGSkoJwOIyhQ4di79690Ov1KCoqkt/PyspCs2bN4HA4sHbtWrRt2xZlZWVSCBw9ehROpxNZWVkYOnQoiouLJZY7Pj4ecXFx+P7777Fr1y4cOnQIhYWFGvzjOeecgyuuuEJ62vfu3Quz2YysrCzs3btXejdycnLQuXNnNGnSRO5T9WxkZmYiMzMTQI0RW1VVhcLCQthsNvTp00diY7t27QqXywWHwyE9f8Tcq+Fr5gdQMBQUFGDFihWw2Wzo3r07zGYzmjdvjiFDhuD48eMSo+rz+SRMyW634+TJkzJK0Lp1a0QiEdlbgB5c7gsa0DQQztKpUzSUhYJb7QHA11WeRA9uLI+ielbp6aNRzYZXzZs3x9KlS7F3716sXr0aI0eOlMYy+aTRaMTOnTuxa9cuXHXVVejatWtMSIUazm+MRL6uPhvlBs+MiuEHankT9ze/H61U0dOsYoYBaLzgFRUV2Lt3L7p27YrWrVvL7xMqwyghI1bMoWKVjlhwMe4TJiPSYcJoG6O/srOsgo1XEw7V6B0NvsLCQqxfvx7t2rVDQkKCJtoGAPv370cgEMCAAQM0MDo2flMdBfQmqxEK1ahUYRfqe2rOUSyjX3Xg1DdF6wXR91T3PZVsdZ+wxj8/G/1sXEuDwYCqqiocPHgQAwYMQO/eveU1VEWf8Eb1PmoVM3W8/20KeqNRzOuaVBX/FP36L2Uyn25SF56CQsU5EsPHzWkwGCT8hQcaqBUmoVBICnkV/kLGR+yxz+fD3XffjXHjxsHj8UCn08FmsyESiWDz5s144YUXYjY+IZMNhUKyuxoZSF0H73TPFRm66iHgIVLD0tEGgwqxqK9Dx3VRYQlqKTX+MEyrjoMeE4/Hg9dffx1z5szBDTfcgLy8PPmsakZ7LEGu0+ngdDphsVhgt9vlXvZ4PJg8eTK6d++O8ePH48ILL0RiYiKeeOIJ6Yl+9dVXMXPmTOnVFUJg+vTpWL16NW666SaMHz9eepJWrFiBiRMnwul0ory8XIbo1fD2vHnzsHTpUlk+rnv37tIT2bVrVzz//PMyejBr1iyYTCaMHTsWjz32GD766CNMmTIF1157LXQ6HZKSkjTJPlSUKCS5jvPmzcMDDzyA3NxcTJo0CZMnTwYAbNq0CZ07d4ZOp8O9996Lv//979IoYlIQ90lcXJwU8FVVVfjTn/6EvLw8TJkyBQCQm5uLl19+WWIWn3zySVRXVyMuLg7jxo1Dv3798H//9384cuQIli9fLsslxsymIosAACAASURBVMfHY8GCBZgxYwaccGrWrTErZfxf9X6pihO9Wiq/aAiPnORDCjyfjgoqWtz/xDhToSJ2XFXW6LkDahUE4n5vuukmTJkyRSaiJScnY8aMGdiwYQNeffVV9O3bF7m5ubJrLCkhIUED45DOjZ8kpKrsqhVa6mOuovmhxoMJ7ZpxvHyd71FBZdMuzmW0QsW/VW+mmmdDI4YedJU3ElfN161WK9LS0mRJQtXwAaDJm6IC/te//hWjRo2S68EcFq4x5YEQAs2aNYMQAjfeeCMGDhz4s/mIJrfbjaZNm8rIHnOICJWZNm0a1q9fj/vvvx9dunTR6BoGg0E+G+/BOeM4qZirXl3OG/8GIHkgZa5a/YQ6AvH80TksDaVwqpFcrlEoFNJ0NFX1GMoeRgBiYeVVuKZqHBkMBuzZsweTJk3C1KlT0alTJ9jtdmmA0Ugjn+J91AZ43LOEbKnwxt+DeG91vwPQzMFvWcdGo5hHh1FIsbyavweph5aJc0DtBqR1p75H65HdrlSGyBCjahEynKjCLAwGA1q2bIl27drJ+6sJJ2SO9EioHtjo0K8aCqpPgczr8ZBHX/+XQlDqa7/GeP8TIkMJh8PyFKhzE624UykEauvr2mw2FBQU4Mcff8T27duxYsUKOJ1OBINBJCcno1u3bsjMzNSE4bgmDAXHx8fLhBeGRtPS0tCjRw/k5eVJLzOTqPR6Pdq1a6dpSe/z+bBr1y7s2LEDEydOxHnnnScZRG5uLoBaRYjPo+6hjIwM5OTkaCoXqAZVq1at5Dp07doV1dXV6NixI9LS0mA0GtGyZUu0bt1azp3b7ZalD41Go6wfDkCWMDt27Bjat2+P3Nxc9OjRA82aNQMA9O/fH+3bt4fZbIbX68WSJUuwadMmGUKOrrageqdatmyJ7t27o2fPnrIqgFqPt3379vKcMRn0D3/4Azp27IiysjLk5OTIs5ebm/szryHLkzZGquuMRZ+zWOe+vvlrLB7AaBS9qVT2KIxVmAXrx3PMFNrREIlgMIg2bdqgdevWsgIEIyc5OTk4fPiw3IeqUqEqliqsQOUNquJSn/NVF/9TFfRfIypPqlJLHkOsPOEe0bAV1VtOWQLUQDUYaWM1DtWLrtPVQPKOHz+OFStWSCNX9eDv2bNHdrBu0aKFhJs1bdr0Z3KK44/1e0pKiuzVET1npGinnVorfPfu3di1axeKiorQokUL9OrVSyp+qjdbCIHDhw/j008/lca9zWaT+SrLly9HSkoKzjnnHGRmZsrvUQklryffJw/hPudn1MRGFVrJteQ+ra8IdzQ0K9Y+VyMOQI0MpAOGz0M+qxozanlKn88nnYo+nw/r16+XcoTyiWvE+QCgqX7H+3J9qCNxLhuCVENZPZfqueP7sXjfqVCjkjJ8CFWoqJ4VfoYUy5tQn8QNBtR6tgFI7zjHYrFYNIZGfHw8EhISNFa3mkgCQCYWqZEBPp9axsjn80mMF+tsu1wu6WFXkzGiw4KqAKxPpVf1dKvPoSp86rOTVC9Y9OY/3ePkWAKBgOYUeDweyQxZwePIkSPYunUrCgoKoNPpZE1cl8uFI0eOIBKJYPfu3XjppZcghEB1dTVycnKQkZGBZs2aSW8Jk5RI8fHx2LlzJ77//nsMGDAAdrsdcXFxGD16NAYNGoRVq1Zpan1TUVmyZAmEEEhPT8cPP/yAdevWoXXr1rj11luxbds2hMNh3HDDDfjoo4+wc+dOXHbZZejbt68cAwVscXExTCYTpk2bhj/+8Y84evQobrnlFhQUFMjGQlSkjx49im3btiE/Px8XXnihhICYzWbZiIU4SybjADVCav78+aisrITdbseqVatQXV2NESNG4LnnnkNlZSW+++47bN26FV6vFzqdDtOmTUMkEsGJEyewbNkyrFmzBsOGDYPdbpdY0LVr1+LEiRO49NJLpcfk9ttvR9euXfHyyy8jLS1NKgvEeK5YsQJjxoyRXreVK1di48aN6NWrF6699loMHDgQAwYMQM+ePeV5JHm9Xumtb0wU62yofDGaP3IvArVY/YbgndEKxS9FFql4W61W+Hw+eDwe6eygx5rPQWHPa5SXl0On08kKJOQfiYmJMBqNsNvt8tp+v19T4SglJUV67GMl8NenckSKZTCpMiOWAqV+l44sPjeTNFVIQSgUgtfrlcoq9wC9kfSuq04xIWoSPVm3WnUy8DNWqxWXXXYZNm/ejO+//156zilv9u7di7lz52L06NG4/vrr5ft0aAGQxrcKV+CzqlTXvlU9l1SQ1d4De/fuxdNPP42qqiqMHz8e/fv3l/whGsLTvXt3rFq1Cu+8846skpWQkCDzu1auXAkhBO677z65Nl6vV0ZUAchn5JitVitcLpdMQidPoexXIyDR61xf51Q1RLjm0UUseO74eSZOM7HVbrfD5/MBgMbQ5fO5XC5YrVZUVVVhw4YN+OGHHzB69Gj5TEyCpaORcFCdTtucyGKxyH4HhDRZLBa4XK6aPdQAefmxjGeSemb+Ex2rUSnmJFVBPxWroyEEC8tHUfkFIHGNTDbjAVeFCxlcYmIiMjMzNRanSmo5Om5CQii46RiS5D24AXggmHQCAFVVVZrOXECtB55U30K5rrWLfu3XxlAfY6QVHs18mICr09VChg4cOIBXX30V27dvlwIpHA7LbHG9Xo/bbrsN9957L7xeL+Li4mA2m2USUXRzKdVgevPNN7FgwQI8//zzuPnmm+Hz+TBr1izMnTsXcXFxcr/Z7XapfLjdbpm09Morr+Ddd9/FSy+9hMGDB+OWW27BBx98gLy8PDz55JPyHh06dJCJSUIIlJeXS4wmmavf74fL5ZLJlElJSVJQfPXVV5gwYQKuvvpqXHrppQBqDVU+G5PjCPHyeDwIBAJ48803YTAYcPz4ccycORNz587FkiVLsHHjRukxpSDV6XSy4tGoUaPw1FNPoUOHDjhw4AAASM/VvHnzsH79elx22WWyLvujjz4qPYCJiYlSmSDG0+v14v7770cwGNQkuup0OowZMwZjx47Fl19+iWXLlslSmaT4+HiJT2/sFM0/o19XI1n1aaCrFB0WpwLGM8eqDUajUXpbrVYrkpOTNcl8brcbwWBQ1rFmJSqeYyrsVCI9Hg/S09NlhAuo4b1UQpl0qlYFUj3GJBpqPLuxHAung6LXS13DU1FO1c9yramcqkmf5FuqIsbvUv5wDdSkUMoXllQkPMZgMCAzM1OedQAyITsYDCI1NRUjRozA7NmzkZaWJnM5CJVRvc2qgaY+E6PJdRlHqlKtdsxUvbTz5s1Dbm4uJk6cqPHwqtekk61nz56YPXu2fM9kMiEhIQEFBQVYtWoV/vjHP2Ls2LEaL7u6f6jsU18gvj0pKUk6PmgMEHsenb8SHR2sL485oyOqUSeEkMmfXq9X0zRIp9NJI02NRgghZCSfhqFer0d5eTmys7NRWFiIadOmwel04vXXX0dycrIsdMFEfo5HhUWqVYWYI0B9iOPw+Xz1rpjHcsyojkfyEJKaf/BbqFEq5iT1sPCw8veGJrb/pfKrJvepnQB1Oh3+9a9/4euvv0Z2djaGDx8u68hWVVVJeAsZ44kTJ/Dxxx9j7969uPPOOzVMitADtgVW8YLEMbNkHXHpFHRMmBOiNumK1+YPUL9QFvVvVYhE35N/q0ynvtdYLXtIokVOZZTJf1lZWbjsssvgdruxY8cOXHzxxWjZsiVCoRC++eYbnDhxAsnJyUhNTY3pbaMHiK+T2ag1gh0Oh4yA9OvXDzk5OdDpavGIbLQSiUSwZ88e7N+/H16vFwMHDgQAdO7cGZmZmbj55puxdetWvPTSS+jWrRs6d+6Mbt26Aaj1etBzw/HQsFOFOdeChiXLVpWUlMjvEK9MKi0txT//+U+YTCYMHz4cSUlJcLvd0kDJycnBFVdcIZ8pLi4O5eXl+OSTTxAMBjFgwAC0a9cOZWVlCIVCGDx4MNq0aYPLLrsMc+fOxezZs3HFFVcgIyMDTqcThYWFEpsYDAZx0UUXoWXLlvD5fBJLz7n2+/1Yt26dpta/1+vF/PnzcezYMfz44484fvw4HA4HHnzwQRQXF2vawAM1+7SxlUqs66zFEiC/ZBDXBx9QKTrMTC+hmo/hdruh1+ulUcUzQqUdgKwxT4OOzzRw4EA88MADCAQCeOKJJzB58mTYbDaUlZVh8eLF2LRpE3r16iXzOYhlpTLBUneMKgJa54mqtDRUXhMQW1H/tc+qypXb7YYQQvbIYLMfRud4PcIU6GhSnTypqanS+0lll/AXKiJUmqloCSGQkJAgvZo0llmekiUGVSU8Oscg2vj5LTAyelGZ1Ll3714Zgbztttt+Vszh448/htvtRl5eHlq0aAGdriZKmZGRoVnvUCiEli1bIj4+Ht26dZOKJw2fhx9+GCUlJXjqqadw4YUX4sILL4TNZsP69euxbt06WCwW/PnPf0aXLl3k86qKW/Q5UaP09bXnuFfUMpnRe5yGCVALayEOX4V4UraopSOpZDNxNj8/H5FIRIMiUK/Bvh12u10D7+W5JC8QQiA/Px+7d+9GXl5egyTl17UGqhGp8op/1/nZqBRz1eoAfi5IokN70a+T6mMD04qjl4EQEqBWyeY4Vq5ciUmTJmH06NG4/PLL4XK5UFFRgerqapk0QVzU/v37MWvWLLRq1UqWjeIzqUJWCCE9nNzEKiyCXhDWA6Yyr1pvhNg0VDg+ej05zmiIi/rMgFYAxfL8nQ5SvUMkKgEsU0hPQKdOndClSxd07NgRY8aMwdSpU2V3z6lTp+Lll1+WCiuFIT2CbIyiVmQhftVoNMoOhcFgEJWVlUhPT8cDDzyAESNGaARUcXGxhGfMnDkTjzzyCBwOB0aNGoWRI0fK+brtttvQs2dPDB8+HPPnz8egQYMkc1c7ATZp0kR6G+jloeGm0+mkAqR6gPx+P5o0aSI9QfSasPRnSUkJZs2ahVAohE6dOqFr164wm82oqKiQHU3/8Ic/YMCAAdDr9UhISMCBAwdQUFCAPXv2YNy4cRg2bJj0oFNo5ebmwmq1Yvz48fB4PBg3bhyaNm0qkz8DgQDatm2L6dOno1evXigoKEBSUpJUwij077vvPpSXl0sFIhQKYfHixfjiiy8kVMXtdmPWrFkxjUc2K2pMVVnqOsuxlLi64C0N4fCI9vSphir3EbtBqg2oSkpKUFFRIXmdCh+kZy45ORlDhgzB4MGD8de//hXPPPMMpkyZIg2yZ599FkePHsVLL70kmxZxf3OdWRNdhX2o80FvPu9d3/RLPFpVvOv6HhXmqqoqGc2ioU+FnLhzVTlm5129Xo/09HTpbVfPO5Mi4+LiZASDhj7XhM4IGl0GgwEVFRVwOp0yEsfKKoywcdwqZEKVf9wTjBhHJ0qqcsRiscieHyaTCStWrMC0adNw1113oXPnztDr9ZpxTp06FYFAAK1bt0arn3Jq1Gej3OUcWCwWCb1jqWOdTodHHnkEb7zxBsaNG4d9+/YhLy9P4tHnzJmDCRMm4L777tN0BOd+ooGoUkMUa1AV858pkz/9xzMJQELBMjIypFNH9eYHg0HpeOHeSk5OBlDj0GnVqpXsyaJCglUDhcUGqOQTvkJ5xT24fft2fPDBB+jfv790ADU0qTpKdF7dv7tmjUYxr0vpBn5etYOvxfobOI0tWhX+q9fXlFv76quvsGPHDrjdbrzyyitYu3atBtridDqxevVqmbC0detWzJs3D2vXrkUkEsH777+PgwcPSriAxWLBJZdcggsvvBDNmjWDyWTCxo0b8cknn+DTTz+F2+3G+++/j2HDhqFbt26yXuySJUuwfPly7Nu3D8899xwuueQS9O3bFykpKVK5VIUf5ygaK1YfoXluTCqgsXBX0cq5Opbo6Eh9GBKxlBEeLCpgaiguHA6jc+fOGD9+vCzvR+8A8YK8Br/D/9k4iIJQTXAhM1NrAjdv3lwTng+Hw8jMzJRwDyqcxL2qnozFixdjx44duPHGG/HVV1/B4XDg8ssv/1npKoYuVeFGpqeu2/Hjx/Hmm2/i+PHjmDJlilSqq6qq4HQ6NZ4WvV4vG8EwHExPGT0fanQpFAohJycHqampaNq0KVq2bKlR+tUKRgwJUxiqLblZ5zwjIwNCCDRv3hwANEoWUFOTnZCIm266Cenp6XC5XNDr9WjSpIkU6F6vFxs3bsTKlSvld1n9Ra3U0NioLthD9Fn7JYWuPp6NuQ1qVRYVksekZ6vVCrPZjC+//BIbNmyA1+tFRUUF8vPzUVFRgQkTJiASieDcc8/FiBEjNOU3uaevvvpqAMC9994r91GPHj1wxRVXoH///rIih9PplDXyo+vjA0ryp6n2GVTjor72wG/hd7+2lpFIBKmpqTh8+DAWLVqEoqIibNiwAZWVlVizZg0effRRmUcyffp0ADUwjszMTBw6dAjLli3D/v37sW/fPpSUlGDHjh2YOnUqdDod8vLyMGzYMNhsNsnbPB4PUlJSEBcXhx9++AGLFi1CRUUFmjRpAq/Xiy1btmDKlCm46qqr0K9fPzmnamSKVWE4fvItyi7KFsIJOWfqcwM160U+aTAYZETy448/1uCUgRp89A8//ID09HQZMSXvio+PRzgcxldffYUVK1bIfXHy5En8/e9/x4EDBzB06FBN4nifPn1w1113wel0YsqUKdDpahry3H333bjiiiuksUJYotls1hhIsdazPiF03HM8LzTQQqEQ8FP/PTXZ12w2Y/z48Th48CAWLlyIcLimOR67m+p0OqSlpWHSpEkYMmSI1J0++eQTfP/99xg4cCDatm2LZs2aaUp16nQ1sN3ExER8/vnnWLFiBVasWIFQKIR58+bhwIEDkt9zb3/99ddITk6OGcmsTz4d7VCM5XxUdaDfSo1GMSfTI6aWC6UyKnWD8uGjD+dppSjHiM/nw2effSahIsuXL8fSpUt/Fobj5m3Xrh1Wr16N1157DQCQnp6OTZs2YdWqVfKzF1xwAd566y20adNGell37NiB559/Xm6+PXv2YN++fTj//PMBACUlJXj33XexZs0aWdrN5XKhbdu2SElJgcVikZ1FDQaDtHqJk6RlXl9WOL3BFMj0PjMRSVUCVCwh1zZWktPpVs5V3CSJwj0SiUi8NPccFb4JEyZovKZqm2ig1svDUC9fS0tLQ0JCAoqKitCkSRMZ/aiurgZQ0wQoLS0NAHD8+HH06tVLHmoacBxrSUmJJrxXVVWFhIQE5OfnY9asWTh69Cg2b96Mm2++Gdu3b0fnzp3Rrl07zbh5xoDaSApxuWr92HXr1uGZZ57BsGHDMGvWLOmV8Pv9SEtLk01EAEjPOJVfAKisrJTeFpaH5BiMRiMOHjwox3D8+HHk5uairKxMhisZBicDJw7R6XTCZDLJrH+fz4djx44hOztbCoeKigqUlJSgRYsWSEpKkkqI0WhEXl4eLrzwQulxZ6iVfGjOnDlYu3YtAqhRGug1pDHQGEmNQKmGrmr4qtAjFU7C9+oDw0pDTVXMKbQIvUtISJCeyVWrVuGNN96QFYKSkpKQlpaG5557DjqdDkOHDkXfvn2RmZkpIRrcAxdffDH69+8vy31mZ2djzpw5GDp0qFxfnkuHwyEVIqvVijZt2shzT2WCY2b5RdWzW1+Rx2inE18DtA4FGufRc63ynri4OFRVVeHjjz/GN998Iw35AwcOYM6cOaioqEBiYiKmT58u3+Mcffrpp1IxMplMKCoqwrx58+B0OmG32zFw4EDZidfhcMjGYTTQFy9ejL179yIjIwNGoxGFhYX46KOPkJGRgW7dusluo5xXGmlqcjLnQF03VS9QXyfvJdSCzodIJIL09HRYrVYcOnQIM2bM0EQjWaKxQ4cOEvNeXV0tlT2DwYCtW7fKSBohFhs2bEB5eTm6deuG3NxcqVh27NgRTz75JD744AM88MADKCoqwrPPPotx48ZpvKmM6FB3iJW3oHrpo5NTTyfR2KEBJBXzn0idUyEE7rrrLqxatQoPPPAAdu3aJfUZoMbAfvTRRzFhwgRZotLhcGD27Nk4cOAAFixYgGHDhkmjjOvA6AkAfP3113jxxRc1879jxw657mppynvvvVfTYE4dc33Mk3p96gb8oQOK66x2jP9Na6de9Pf66dmzp8jLyxMAxO7du0V1dbWIRCIiEokIIYQIh8NCCCFCoZAIBoMiHA7L1+qToPwLBoNCCCH/53i8Xq/8PRAIyPddLpfw+/1CCCECgYDmuurYQ6GQCIVCwuPxyGf2+XwiEAjI549EIvK6fK28vFxUVlYKIYTwer3C7/fL+/H6wWBQ+Hw++QzhcFh4PB7hdrvlZ3i9002RSEQEAgHxww8/iMLCQs288TnD4bAIBoNyTRuSuHZ+v1/OT2VlpaioqJD7rLKyUlRVVQm32y38fr8cY7NmzcTo0aPFkSNHxLRp00RGRoZ47LHHhM/nE+Xl5cLpdIpIJCJcLpdcIyGEWLRokTj33HMFAGE2m4XZbBYARFZWlli0aFHNWgECgLBYLMJqtQqLxSIMBoPQ6XTCbDYLq9UqAAi9Xi+mTJkiIpGIKCgoEKNGjRJNmzYVH374oRBCiOrqaiGEEEuWLBFNmzYVF1xwgcjPzxfBYFB4vV5RXl4u/vznP4u0tDTxj3/8QwghxI4dO0SvXr1Eu3btxObNm0VmZqa4+OKLRVlZmRBCCI/HI6qqquT8CSGE0+kUd9xxhwAgx3bRRReJvXv3yvlq2bKlACBMJpOIj48XKSkpIikpScTFxYm4uDhht9uF1WoVRqNRWCwWkZCQIJKTk0VSUpIwmUxCp9OJJ598UoTDYTFr1iyh0+kEAJGWliYKCgrEyJEjhclkEkajURgMBqHX60V8fLzIyMgQbdq0Eenp6SIuLk4AELNmzZLr4XK5RCQSEfv27RPt27cXa9asEe+//75ITU0Vl1566c/2hs/nq88teVopHA7LNSK/dLvdYsuWLXJPkmfVN5G/qfzU5XKJYDAoIpGIHKcQNbzB6XRqzpv6XigUknxOiBoeV11dLZ/D6/UKn88nn9/v9wuv1yscDoeIRCKiurpalJWViaqqKuHz+UQoFBKRSERUVlaKw4cPi+LiYg0/4njJr3w+nxx7QxPHoPLOQ4cOacbodruF1+sVHo9HflaIGn7g9Xo1vFeIn8tUv98vX3M6nSIQCMj1UWVy9N4SokbOlZWVCZfLJd8TQkieEQwGRUVFhfB4PEIIIXw+n/B6vXIfRI8rEAiIQCAQUzb8ktziPER/lntCnZdwOCz3Dp/J7/dL3q3KYnWfcvx+v1/K7rpI/R73YkVFhWY9SIWFhZpzUllZKbxer+Y81zdxHUKhkEZ3cDqdwuFwCJfLpeH/qt6h6iqhUEiUlpaK/Px8kZ+fL6699lpx/vnni40bN2qex+12C4fDIdxut5wLr9crqqqqNOcsEAgIv9+v2S+8H+W0One/B6lzF4lERFVVlfjuu+8EADFo0CDRs2dPIU5BJ240HnPxk/XLcGYsTy6tNTU5EqhHbKRyWeJd1TJSKjyA1jmtd9V6U7O/6eWkp4rfoRcxpHS5A2qbSLAqCz3PxCYDkI2NeB967FUPj3rtaK+YOM1WOK1FhgLZPCHWZ9TQe13rKcTpx5hz3VSoA3GYfE31nql7btasWdi6dSvuv/9+ZGVl4cUXX0Tv3r1hsVg0oVcmDHP8/fv3x7Rp01BeXi5xcgaDAUlJSRgwYADKysqg1+tx6623YsiQIZpyUax/azKZ8Mknn+CTTz6B3+/HW2+9hWXLlqF169aYOXMmhgwZAqA2Iblnz5548cUXsW3bNowfPx5z587F2rVrsWjRIqSnp2Pu3LkYOHAgXnjhBbz//vvYs2cPgsEgHnzwQYwbNw59+vSRnnw1IYzzYbfbcfvtt6NLly4AamoMZ2Vl4ZxzzpGfeeihhyRWE4BM7gEgE/HoWeG1mZwXidSUtLz44ouh1+sxbNgwVFdX4/XXX0dZWRlsNhtOnjyJYDCI//f//h+6d+8uKx4kJiZKD+DJkyexcOFCeY9QKCTLOrZu3RqjR4/Gk08+iYSEBDz00EO44IILNHtWxdzXJxb7dJGay8F1UPHbQOyeEfXxbMxvUEnl8fTS0aPNhF7Vs6hCGOgFpaeR1yauFdDWrVbhUex2q3pdI5EIkpKSZLUMVcaQ+HmLxaJpsX66ideMtQ7qfDEqosoKzgk9wADkfmeuSzSpNaNZ0YhrwXXguHhNyjHKOkbI1MRdNfrE3BY2fCJxD6ifZyIloxh1USx5oUZWWZhBnVP1eUnReWMcl9oWnvKae4nfY2SRkWDOjYqN5z0jkdo+CIT2cU7peY1Vx5zrVteZPV2k7jsNxlyZJ3Y8Vb+j4rrVpGkhhIxQMhp5zz33wOv14rzzztPsRSaQci7ET5BCVUYA0ES3VWJpx2g4S33NVSyqi2+qfOu38NZGo5iruGSGohlOYYgtWtCoDLRehKXCF3TQ1UJbYkV7eftfygsynMLv0SuiQ20IWAdNyTENqXtW/YwyVnY9ZKiTmMrTncxEhsMQdigUkvhlNXQVC65Sr+sZNUaOAz816WSmOcdIga4+EwBcf/31OHnyJN544w383//9H66//npZuUQNz5FBsWZwRkaG/Kyabc9n3rdvH3JycnDttddi+PDhGiGgVnupqqrC2rVrYbFYsGXLFnz22WeYMWMGbrzxRgghJObd4/EgIyMD1113HUKhEN577z0UFhZi27ZtWLVqFcaNG4cRI0ZAp9Nh3bp12LJlC1JSUpCUlIRNmzZh/vz5aNWqFZxOJ8LhsIQHUMBwbfv374++ffvKpDohahLLqqqqEA6HcdNNN0lsL891dHc0dQ9GC0OgRpGuqKhATk4O/vznP+PYsWPYuHGj7NTZrVs3XHPNNejVq5cmQVC9BpPagNrsfxo7gwcPxptvvolzzjkHo0ePRmZmeAY0BwAAIABJREFUJoqLi4EaGLPEtjdmxVwdl1qBh0oEz5/f75fGHhULOh7qI7FRGgm1zXAlZIrJYwz5qiXZWAOa46Nc4LmgMKdRxzNiNBpRXFwMm80mq3KoeRCcp0AgIPHNNptNJkMzsRGAHDMrJtWFA24IImyLCjTLSJI8Ho8szUo+xgTIlJQUmTAbCoXkfMfFxcm60eR5lZWVACCb+NBwYoJu9LyydrfBYEBqaiqqq6ulQ4FnUC0DrOJuaQjQgDCbzVIxJ7RKhfFEw1hiKV+Ex7C8KSEF3PfsTwHUViDheeGYyZPUM8G699yncXFxEm7DuWPpZJvNBq/XKxOaAch+C6y7D9TCyXg2mS+jrrmqsNYH1Eydt5/9/ZOuW1VVJR1sXEeWFuZa8jkpCysrK5GYmAir1Qqr1SoriEUitQnFbHbFM8U9ZTAYZIlaOqWinYpcezoiQ6GQRpcib6lv4jhUaAsADdTytxoJuoa0Kuqi888/XyQkJGDNmjVYt24d0tLSoNfXNI+g10y1StXs4LosvNNBPbr3OO3X/D1p85bNGk+/isk73UQGXF5ejoyMDJlopZarUw8ZGXF9rqdKKnPv1rVbvd7rLJ35tP3b7RCiphY2lYjGRqqHmQKB0QdGg3744Qe0bdsW8fHxMmmP+Nb69AKHw2H07tVbvrZz107J49VoIHkDDQd6uU0mk1QY1c6TagMXNlkjT2NDIWJXaXizEgdzX2hE856M6JhMJskbvtnwDex2u+y421AKuup5Zb1mKtNmsxknTpzAoIGDAADf7f5OKkv0IJaWlgKALB+q4oTV6CyjATpdTXWlQCCAtLQ0aWSr0V3VKOAeowJpt9tRXFwMs9mMjIwMTZ16tZ8DFTrW7na73TLhntEptZmR6hUH6m5ix89QngCQa841q66ultE/GjCMLnOMJFU55zOwRroqxzinVVVVMBqNSElJgc/ng9/vl02t2OOCyac0JPkaADidTs052bhpozyfdRkip4PUyIVK5/c8v17u1xC0Y+eO037N6PlX4SdqEqvBYIDNZkMoFEJhYSEuvvhiDBo0CC6XC9u3b/9V5abReMxJastg1bKPPniA1oKuD0Vu85bN6Nun72m/7u9Fat1ptfzX6SYKushPyTz0VASDwZiKuWpxxlrP+oCykBE1Vu/nWWpcRI8sjcfGSKrSQg8glRq1iRSVYZ5HKlf8/3QT502l7t26n/b71CcxGsaEy/pWkKL/puEC1CrX5K+krl26np5BtP8Pv9/xtIziLKEmUmMymSQErT6NQdXjW1+FIRqSovtQnA5SdVA1UhJtFNKYYiMuvneq1GgUc1qdycnJyMrKkmWKGOahV0W1lFXsYX1RZVWNl4bWEDtq8qCoFjQ9FQwhRwsjg8EgLWp6gejNCYfDMkvd7XbLEBhxj8SgMZzE0KFanYYeAbVLlgrHCHaqrcRBzGV9CRiDwSA7TSYnJ6Np06aahhTRuLlfWs/6UswbMyzhLDUeclQ4EMoJyTrnv1e93LpIPTeqA0NVtFk1oby8HC1atJDttMlb+fn6OA+xPHFnGnXv3l0qLjqdTnpgTzf9kmKueuZU59RZ+u+lbt26SRgHIxenm1R+QV6i5s+diVRRWQFdh/qr+65GGFTFXDVoWNef+s5vmc9Go5jz4YjBUpMnoxOBgN+n+ydQg7tjGS+j0SjxdvQ8sXkDcU9cQIb/2PhHxWVFJ/WwwyOxyQx1sY4zw33EM6vXaEzEznt2u12G0oHGtZ4AIBDbOIkeW/TfXA9iNdUubip2F6gJUTJkqtPpNPW8o5OAGF4lplbt0lleXi6TalXjj6FYNbTLv7kHWS5RxSxGJyFxH1utVokD5D7mc7P8FWsW0zBklITYUM4HS30xoUqtSw5oc0b4/NEGIw1YNexLPD1xxXzOQCAg8yhY85bv2Ww2Dd41er15X2Ikk5KSYLab5fWTkpIa5VlTSV1zdaxsDkMoBJucxDqXp5sikQiCoaDGG6c6LvgalQ8m1gGQ58Hlcklsr5r7oSYfUlHlXiF+mDyYOUv8vArn43ep+IbDYVnO1Gwxa5KXG5LnRnvp1PWKj4/HsfxjOOeccxpkLHWNKZqf8GwxYsouj/zub9lzvL6aE8XoBfkssfOUs8wXiFYyg8EgXC6XhASxVGy0o0jdCyr5fD6ZOP7vrn8sucLfS0pKUF5ejnPPPbfm3k1qvxddDrA+iM/O8/FTeROp0wA1c1JeXg6z2SyTfVkXnp1do59Tnavoc82zSUenXq+XeH4mgaqORpVvRzv3eH1hE1Le1DdFy1w1N4wOWzWv4lSo0SjmJHWC1f9/b2FI5q/WXCVTJ6Pgaxw3MXxUFqi4qwkUgPaAxmI+XGgVn8e/Gys1xjX8NdJBF/3CL/9tgjbpFqj7RCXU8bp6XQNqk1fioEmWk5QW9Xc079H9wv825XOqTqpTXlPvWZdj2AKgWdT3+dz6qDEZou4L5bOxk+xjU6x51UGToC1fY3K+HkBSHderK4Gbc2Gr+fH6anDOTFitz+Sr+qLoKOPvcf/oHxWzXJeiRvw4a0tTeeaPqvwRU03lW4XHEX6k1sFWlS8qBMSgq/zXZDJJeCWjlY0pzP97yQBVCVJfYy8OALIe9n8S1VbXG9CuHddZ3deqZ5JGHtdTHa8KN6ADIrr3BMfPJE86GepTlkWf0YaWm3xOzpt6brgOdDipyroQQsJVaZzRyaLT6TQR/ugoj/o69R2evVAoBLfbLR1AdOZw7QBoDPxoJ1pDUiyd59/luY1KMf+lB4hlhTUkEVvIjGtpUYraxCO1XA8TjPgZt9stPaD0vpFU76bX65WZ4RQ09DyaTCYJU6FQUr3yjUVYkOpaz8bmMQdiKOVn6SwBsMZZEQgGJMZcLTd4JtLvIbBUeIaa6EkvmWo4qJEVRkmYIMfGLmpHXDU6w3VR81dUYa/T6TRl8Pgef6JL1RGyQsWEz2A2m+utgs2p0n9qZP3H/E4f9T9JNbaNiG3c6+r4va771HXc1Op40cY/ENsZEsvhoX5X1YiiHQwG1F0VLQbVFYn91e/9jga0CteiQ4JwN1mpCJAlHym3eRai9Ro+B/UaKtyMmPHs8ruMmvF+bDipQnXVezDPgmdbjQD/nvSfrl+jUswbM7GFdLRHnyUd1XAZQ3oUNmrNcm4iWuEqFIEhONUbQCIMIlqYNXYlIZYHQP1fff33Pkxn6SzFIhX2EAsCcyZQQwr7mEqfUfMBrYKjq+P1lKhrRCtUVJaiu3GrkRQ9Yku5aIXPjNjKnSXG9Xlv/PvK1+mif2dNzzohGoZ00P3m/REdWWoIkvshVjnmuqKa0Wcqlo2qvpYc4/1Y0d7o8xZ9JmMZRtEInxjnvaHPqarL/Dt6TaOWMPWtqOl+wz+jwYh4WzziLHEwGU0wGozQ6/SwmC3ydX5Wr9NDr9PL301GE5KTkpHeJB1pqWmIt8XDoDfAbDLDGmeFNc4Kk9EEvU4Pa5wVNqsNJqMJZpMZZpMZOuhgs9rk73qdHga9Qd6Dr/3aMzQGisbTR7/eGCgcCUNA1GBif/oXERGsW78O53U8DxlNM5CaloqU1BRAB6RnpOOp6U9BQCAUDiEcCePgoYMYdukwdOveDRERURuSyevy9XAkjFA4hGAoiMqqSpQ7yuFyu+Q4BAQSEhNw6WWXotxRLr/j9Xnhcrvg8/sQDAXlvVevWY0OuR2wc9dO+RrvFwqHICBQXFKMhyY/hJTUFBhNRpjMJljiLEhKTsKwS4dh0+ZNCIaC8Af88Af8mPWPWchslok//+XPCIaC8Hg9musdyz8Ge4IdK79aKe8VjoThdDkRERHMfmk2TGYToAPatG2DlNQUmC1mWOIsSEhMQHJKMhISE2C1WRFnjYMt3gZbvE3+bTAaYImzADogq3kW3njzDYQjYRw4eACXDb8M0AFGkxH2BDuymmfBEmdBaloqsltlo1lWM8RZ4wAd8PIrL8s1OHT4EPr174f0jHQICLg9bvleMFTrPQ2Hw7IxzZlMDXHGGgufaSj6vZ+3MfHNs3T66D+B//ym+/yPnNff6zn/3TU8ozzmpxOy8b+yIRsDnWnCgx7R6Drr1dXVKC4uxpAhQ5CcnAyn04nVq1fj5MmTcLvdMjS+detW/POf/8TXX3+NYDCIhQsXoqioSCaehcNhJCcnw2QyoUePHujevbvE0xHqBGijCwzRqQmTaoMVMnImDzMEyJJNfr9fenytVisSEhLgdDpRUVGB3Nxc9O7dGxUVFfjiiy9w4MABuFwueL1emaQaiURQUlKCo0ePwmg0StyfwWDA8uXLsWXLFowfPx7nnnsuhBCoqKiQCYYvvvgijh49ijFjxkhYAqFdhC6w6hEjSCrUic9NrG+TJk3QokUL+Hw+JCQkyK6rcXFxOHnyJNatW4crr7wSpaWl2LBhA1q0aIGRI0ciFAohOztbzh+bIZWWlmLOnDmylCCb32BizdqvXr0aQ4YMqbfyog1BZ9oZPEsNQ/+uJ1GFOzBpPBQKSZgnoUGMNLHKmJo0e6owxmgPMn+X1caCQZmkGx8fLyETvK7aaAuoxb6Tr6q1yPm+ypuIpSZ8SQghmwXF6kb5n+gWjdlhdZZ+O/1XYMzrIpb8Uw/y6YQ+nApzUpUGYsJDoRAOHz6MdevWwWg04o9//CPcbjd0Oh1sNhsikQg+//xzrFq1SjIl4iY9Hg+EEOjatSvGjBkjsVYMlROPzmdduHAhKioqMHToUJx33nmyRqfaHKSuEDsZxe+B7f616zdmxqMm2RJvarVa8fbbb8vKHtOnT8ezzz4rE43cbjdmzJiB5cuX44YbbkDHjh1x6NAhKSjYKl6n0+Huu+/Gfffdh+7du0sFm4lu0WSz2ZCYmKhRlKmQRycDZ2VlabqpqbhcJiGzjrXFYsG9996Lv/zlLygqKsJVV12FI0eOaDp9AsCgQYPw/PPPo3PnzgiHw0hKSsLXX3+NNWvWoKqqCs2bN8eDDz4oM+qNRiN27dqFlStX4siRIxg5ciSGDx+OH3/8EfPnz4fRaERmZqbEFBLLSMiXXq+H1+sFULNHLrroIgwYMEBWf6Gi3rRpUzzyyCNSQdi1axduueUWfPLJJ1i9ejWGDx+OESNGYObMmXIOQqEQ3nnnHezevRvDhw/HVVddhcOHDyMuLk6ORRW4VNgbW5nEaDoVAdCQ5y2arxKnbzabEQgEpBInhMDu3buxbNkydO3aFUOHDtUkEKr4dADIz8/HO++8g8LCQgn9I11xxRW46KKLANTudQASBkiKbqZEPC1QW2aSZWnfffddbNu2TVagsNlseGLaE3U/92mSTdHjqy+KHu8vjV9NqqVxTqM4FArh2WefxfXXX49WrVrJzo6BQEA2DVLpVJ5JTdKNxvRzvUKhEJo0qS1fcvDgQXz88ccoLCzU5GQFAgFceeWVGDx4sJS1LOlLx4UQQhZo2L9/P3bt2oWrrrpK5nrxedTqaqeaa/Bb1vP3SABl1STVsCLPZIWRoqIirFixAgcPHkQ4HIbP50OHDh1w+eWXo1mzZti0aRMWL14MAEhKSoLT6YTRaMT06dMBQFZhAWrWz2q1Stm4Y8cOrFmzBidOnJAQ4PT0dOlYGj16NNq0aSN1QZfLpcnDUxPceX7PVAfsGaGYNwZSu4/qdDpUVlYiHA7j4MGDeOmll9CsWTPccccdMoubpenWr1+PmTNnwmQyITExERUVFbJFsd/vx4ABA9C/f3+cd955MhmCwgsAKisrYbFY8Pnnn+O7777Dueeei44dO8pDkZqaCqBxV2g504lKXygUgsvlki2j2QZYTRoj405JScHw4cMxevRoTfUHUigUwrhx46TnG6g1+FipQi0zSO+0y+WCzWZDRUWFNBSCwaDMeo+Pj5elGZ1Op6bVMZkdlXIah2qbbr/fD5vNJvcVFeDc3Fz06NEDHo8HBoMBbrcbc+fOxeLFizFr1iyMHTtWjsFkMsFisaC4uBjPPvssDhw4gKZNmyIUCmHp0qV47rnnpDA1m82orKyUcwpAk+wMQLYC79+/vxSoAKThwAZWer0epaWliEQiKCoqQklJiTyLnEuPx4Pi4mK8++672LhxI+bNm4frr79erh2705pMJvwdfwcADBs2TBpiZ8/ZbyfuOybIM8+muroadrsdwWAQGzZswFtvvYWrr74al19+ufwujTAaS0II7Ny5E6+99hqOHTsmyyqq1Rratm2LVq1ayXJs5Kmqwavm/wghZMUVIWpKt9ED63A48Omnn+Lzzz+XQt9gMADTfv6MvO5/E0UrhfxddVKR8vPzMXPmTPTo0QOtWrWSMvPfrWTC9VErlan3ZCSNkUCdToeKigrs3LkTs2fPxvHjx6XSxrbuVqsVgwcPlt9lqVWv1yudEdxrX375JTZs2IBLLrkEFotF05yPdCbX+o4m1SDlT1VVlSyryqjpZ599hk8//VRGeIcOHYpBgwYhKysL27dvxyuvvCLnOxKJICEhAU899ZR0bpHIl202G8LhMNauXYvJkydj4sSJMBgMePTRRwHUntXOnTsjOztblk/U6/VSHkY3LDzT6/ufVcxPkWhVEz5gt9tlHXMqz/SUOxwONGnSBJFIBJdffjk8Hg8WL16MkpISXHbZZejdu7dswON0OvHcc8+hd+/eGDNmDABoGgSxmZHD4UBpaamsEsDkUQqeMznMfqYQM9btdrtkMOyeqJZuiouLg8vlwvz58/Hdd9/JMCi9M0zgDYfD0nsO1DCggoICfPjhh/j222+lAWc0GuFwOLB9+3bcc889SElJkZAYXsvlciEUCiExMRFOpxNVVVWYMWMG3nvvPQC13sP58+fLSAwVEXqIODYqKwDwr3/9CwsXLkRJSYmmzbROp8PKlSsRCoXw0UcfoaCgACaTCaNGjUJubi4AoFOnTpgyZQqaNm0qQ89DhgyRNfntdrumvivDypwv7nO3240+ffpo1kGd0w8++ADffvstvF4vCgsLUVxcjL/97W84fvw4KioqsHHjRowbN04axh6PB126dEFeXh727duHxx9/HMXFxVIpk025ZtXcj8oF7xkrfH2WfpkYESHUIBKJ4NFHH0VhYSEMBgN2796NgwcPagxJoLaUoRAC+/fvx+eff47jx4/jhhtuQEJCguS/hCKcPHkSL7zwAh5//HFp0PIcqQo827Gr91PL7CUnJyMcDuOuu+5Cx44dMXDgQEQiEezYsQOLFi36HWawfujXDM1YyjQdCGpPgQULFuDDDz9EJBKRr1EhpwNDhYtEX7sub7LqCWV1DvIptcJOKBRCfn4+3n//fRQWFuKOO+6QPMdqtcr+H16vF6tWrUK/fv1kuc5gMAiz2SzHTYfC8uXL0adPHxkpYZdVGpfkvf8tRHlAQ5hRLRa30Ov1aNmyJW6++WZ88cUXMBqNuPHGGzFixAg0bdoUADBw4EA8/PDDeO+99/D999+jR48euP7666Vzi/OlriVQW9Pc5/OhoqICd955JwKBAN544w2cPHkSw4cPR8+ePaWRQN2LpRsJMaIRd6YbyGe1uVMkbgYqLeykl5iYqDn4er0edrsdlZWViI+PxwUXXIBOnTrhxIkTWLFiBa699lrceuut0oOwfv163HLLLdi3bx+6deuGfv36aXBJTDijIudwOORmNpvNcLvdSEmJLl8Qm6I365m+eRuS6LExmUw4efIkWrRoAafTKRtO0CsXDocl8/jmm2+wadMm+Hw+yZjo8aUhx++RYbndbqxZswbLli0DAFitVmmAVVZWIj8/H1arFYmJiXC73VLpcLvd8Pv9sgmF2+3G+vXrpaLp8/kQiUQwd+5cCYFJSEiQkBEhBI4dOybHxmfZv38/XnvtNVRWVkrvJhVpm82GFi1a4ODBg9i2bRvS0tLQr18/5OTkwGQyoV27dpg4cSLcbrdsltWyZUvcc889Uqlm5IECmN5/lr8zm81wuVya/gFkwl6vFy6XCwsWLMCmTZukkeH1evHee+9J7+bhw4dRWloKv98Pp9OJtLQ0fPTRR+jduzduvfVWLF68WBrcJpMJSUlJKCsrk4q5et59Pp8MY5+lUyMVSkBvpMFgwOeff449e/ZIaAvw84Y1Kj746NGjmD17NrKysvDee+8hKytLfpY88cEHH8SLL76Ihx9+WHrSVMOX9+EYeK5V+BLP6rFjx7BhwwbceuutGDp0KPR6Pb744gvs2rULB3BA84xnKi441lh/bfxs6gPUnI0TJ07gs88+w7Jly9CzZ0/p0WQpu5SUFKnUqkrTqUYZuLbMSyF8Aaj1XjN6/dprr6FJkyZYtGgR2rZt+7PGRxMnTsSGDRtw/vnnS0WUPIhj2rBhAz755BPk5+fjkksugc/nkwae2nxK9dL+NxANlUAgIL3ZNEpomNjtdlx55ZVo27YtDAYDHnnkEWRnZ8uz1aVLF3Tq1AkejwfHjx/HqFGj8MADD0hnDlBb4U51AKm5VwaDAV26dEHr1q1x+PBhfPHFF7jhhhvQvn17CCEk/p/wYEKQaPzT238m05k9+gYkVVgwqc5oNEqleN++fXj99ddx4403wm63w2azScUpKSkJVqtVtsBWOxF27twZTz31FH788Ue8+uqraN++PZKTk6VwIANITk5GdXU1pk2bhh9//BGjR49G+/btAdRu6t/iyTuThEdDU6ywK5l3yv9v78zDo6qytf/bVKbKPBASSMKoAgExCCKzoLSKtgPi0NIPthNX6UZxQoW+fogDLV5tUbmKStOtIira3itNC40XGlRQZFIIgyg0EQKZx0oqQ6XO90fV2tlVBmQISaDP+zx5Uqk6qTq19t5rr+Fdayck8Lvf/U6n2Hfv3k1oaKiO/kr6z+l0ctdddzF69OgA+osYf2FhYdxwww24XC4ArVw6derExIkTueiii3ShpFKKhx9+mM6dOzNp0iRiY2N1BFyivMLdi4qKIjc3l3nz5nH77bfTo0cP7TxINN/cWDweD/Pnz+err74iNzeX/fv307lzZ72ZyeecddZZTJo0iY4dO1JeXk59fT2dOnXS2YLvv/+e+fPn6+/ncrn0KaO33noreXl5xMfHExbmO0FRNjWJ8Lvdbl2DYRrfNTU1REVFce211zJu3DiUaux/KyfLVlVVAfDQQw8REhLC66+/zn333cfevXtZunQpgwcP5tJLL+Vvf/sbSikmTJjAgAED8Hq9FBcXExISwpIlSzhw4IA+GXPp0qV8wAd67M0aAxvHBzHkzENDHA4HDz74IJWVlTr7snbt2oA+xeIAinMaGxtLfX09xcXFuFwuHSk1ecSS0RG9LOl2oRaaZ0+IwSF9miX4UVtby5///Gc2bNjAnDlz9LHolmWRlZXFU089xU3c1DrCbAMQ7n14eDhvvPEGn3zyCX369OGZZ55h/vz5us4qPDw84NTg4Ii5iSM5CKJfZL8154fQWOR1OWNAqGjyHjLeQtcDtMFpBkxyc3OZPXs25eXl3H///WzevFkX0Ut0Vj7rdD+yvimInKTWSU5/FkfLPJfF5XJpuqOcuGqOcX19PeXl5QB6LkBj0XBoaKjeDz777DMWL15MSEgIzz33HJmZmQCaViR1HWZdlYyxrF85q8A8Bfp0hm2YHyOUUvpIa6/Xi9vtpq6ujoMHD9KrVy9ycnJYsmQJ11xzDdHR0dpIkmI4aPQUJfInHumECRNYtmwZc+fO5bnnntNRVNl4PB4PKSkpJCcns2fPHl555RUuvvhievbsqVO05iSFxiiDZVk/OcShpYpJzgSYUR1RWKtXr9bGYU1NjVYwoaGhREZG6khwZmYml19+OaWlpbo+we1268MZQkNDtVEphnJMTIzmPMvnK6WYOXMm3bp14+6779YHnJidB8wx3bdvH3/5y1+44YYb6N+/f8AGZEYP5bm9e/eSm5ure/ILPxTQBnD//v25//77A5w/uWcxlhYuXBgQeRJFunHjRnJyckhISNBFeLW1tRQXFwMQHR2tv5MYUEIzEN53cnIy1157bcD3kI3a4XDQuXNnpk6dqov1fve73/HZZ5+xYsUKsrKyuOuuuygpKSEhIYHbbrsN8DnTACkpKVxzzTXaYZHfYpiLM22eNmfj2BHMDRa9JuMgc2XDhg1YlqWNadOIlgPX5P9dLpfOqIiulLknc1zmsDiXwjM3C6blWpOH7na7ef/999mwYQOLFi3S91hbW0tycjI33nhjgGFupujNddNSxZvNgaai18H7hLkOwsPDOXz4MCtXrmTNmjXcd999jBw5knnz5gUcpCdZD/O9gz+rqc8R/SQOuuhbM0IqWTepNZEMoGQIheccXMhtFhbLvtnQ0MDmzZv53//9XwYMGMCUKVNYvXo1Cxcu1GNqHuZ3Jhh/TUHGwuTmy3o0r5G9rKysTO8XZnCwqqpKB4zMtWEeKiTX7tmzh9dee43rrruOefPm6Xkm9Vt1dXU6yGnOGQkeyb4l6/pMGJczJw9ziiGFI16vl4iICA4ePEhWVhYTJ07k1VdfJTs7WxeQAAEpL/HmpAAKwOVyBaTChGpg8hwlYnrLLbcwZswY3apPUuryfxLZlO4R1dXVTRY/yAZoFrHZxWw/RfCGIcq4pqaGvLw8fvzxR2pra6moqGDOnDmEh4dTWlqq//+cc84hMjKS++67j5SUFNLT00lISCAmJobMzEy6d+9Oly5dSE9Pp2fPnj+hZ1RXV1NbW6sVkXAgLcvi0KFDQGPaUVJ75tHYMu9Eucl7mArW4XDoivlXXnkFl8vF7t27ycrKori4WM/D+vp6HdGWLikej0fPMbNjkhyhDugOJg0NDWzcuJH8/Hyys7PZuHEjn332GTk5OVx22WW6MGjv3r3s2bOHffv2sWPHDrZv305paSlVVVX8+c9/prKyUsvDLL6S76uUory8HJfLRUREBKWlpRQVFenCUYm0m46QjElubi6XX345K1eu1HQ0U7lLfYl0brBx/JCC5JqaGl1NvYBJAAAgAElEQVQcLDpMnK2CggJdXGymvaurqwGfUXXuuefSr18/4uN9J5a43W5NMfzhhx+wLEtnEs0OPxKpDwsL08a8RO6l/adEU+vr60lNTdWdRHJzc9myZQu7du3ixx9/DFhrcr04B6KHRceaP20VZgBIdIrsV+app/X19bjdbrxeL5MnTyYtLY0+ffpQVlbGiBEjOHz4MOCjuJnv3ZRhLvuTWYBrfo7IU3fX8P+v0N4AzXOX/4uIiKB79+707NlTG9Gylmtrazl48CCRkZF67pgtajt27MiUKVP49NNP+fjjj2nXrh0//PCDvk4+T2Ql3+1MgqxDaX0JaBskuPBd9KTJGZexCD69HBqbD0hWqr6+HqUUBw8epKKigt69e9OlS5eAbnTSglgccBlT81R1aHS8ZaxlLp/OsCPmx4ja2lpKS0tJTEwMKEABn3dYXl5Ou3btdHpHIAZOu3btiIqK0gaT0+nUvOCYmBhCQkKIioqioqKCxMREnZaTySxGh8vlQikV0LpNOLihoaEBKSW9IfhtDHODOBO8ylONYBmZ8hMKSVlZGeXl5QEe/JQpU7j55pu1c7Vp0yZmz55NRkYGzz77LGlpaRQUFFBVVcX555+vObYSdZfMilCmpBuLx+MJGHdRQia1SiA0EnlOijqlil2+h9BHzO9qdrCQoqjY2Fid/nU4HAEbpHQzcDgcFBQUBLSoA7jvvvv417/+pQs5RYl//fXXWJbFs88+y4cffqhpPaKAb775ZiZPnqzvsaioiI4dOwZsEtLyMSoqSjsb0s5MinDFEOzQoQOVlZVUV1cTFhZGdHQ0dXV1JCYmMmnSJF544QXWrl3L008/TXJycsDYR0dH/8Qgs3FskLob2fQlkmlCdKpwUYVeolRj69nU1FTuv/9+IiIiSE1NBXzz3OPx8O677/KXv/yFQYMGsXDhwgDjT7IxJsSYFwqYaeTJUeCypl944QWWLVtGQUEBv/71r3nyySd/cpKhmeoPbnVrRvDbomNnRpkl6in7iYyZRK8lC1xZWQmgM1vSzMA0xEV+4kzL38EyMI9RN68VSoTUA5jZKsuytIMu+io1NZWnn36adu3a0aFDB9xut6Y0vffee7z99ttkZWVx3XXX4Xa79ftKBLyiooLi4mId2IiMjKSyspKCgoIA+p20xZV6njMJontl/5E5oJTSTS4iIyOJjIzUjQkAHR2X/UIcGFNPS8ZRKEiWZXHnnXcSHx/P888/z3nnnRdQg2Duh/I+4iyaNUlCX5H3NDNipytsw/wYIYV1YkhblqU3Ba/XS3x8PBkZGXz11VdkZmYSFxenJ4tpJMtzEjlqKs0jUQShwZge/rBhw4iNjWX//v2kpaWRlpYW0MFCNiQztSMQg8bcMGwD/dggcnW73T+JCEnkT8Y6MzMzQEk4nU6SkpKIiIggMjKS3r17c+655wKwf/9+Nm7cSHp6OikpKVrRmZu4cOokhSyvyUYV3KFAjBv5f9koZY7IdfKdhBJizkezpzP4ooZr167VvD+TEhMbG8v27dt14WhdXZ3mYluWxeLFiwG04s3PzycxMZGsrCzAt7Zyc3O1USO88cTERCZOnKidAeH1ezweLQez1aQY21VVVbojh9frJTs7m/Xr17Nr1y66d++uHaq1a9dy8OBB4uLi8Hq9rFixgu3btzN69GgfzWWsb4zLysqIi4vTRoi9Zo4PZjDADDY0ZaBJ3YNsujLPGxoa6NixIxkZGQHUGDEKd+7cybp167jwwgsZPHiwLgST7j/mWjKjtOY6NcdVWoquXbuWQ4cO6Wj7999/z6pVq2B84H1LJNnkwJrGQlunD8q9ilxETmJcmdndQ4cO4XQ6ycrKonv37gHcfBlXcYpEt3z11VdaJrKOhLpm0hpcLhejRo2ivr6ebdu2BdQGiM4Sp0rmitfr5eyzzyYlJYUBAwYERNTBZ7hnZ2ezatUqBgwYQIcOHXR2pLq6moKCAs4//3yio6MDuoTIeMo9C69esuZChTlTIOtNxkz4/SY91mQBmF1VJJtqOmDBBZ6S3ZWgptfrZeXKlQwZMoTRo0drA1zkLPNOjH5opJTKPiCQzzE/+3QeG9swP0YIb7y0tJSYmBhtHIlS6tWrF2PHjuXBBx9k2LBhzJkzJ0ABSX9rMXSkEE8mtmxacoBMZWUlCQkJhIeH6whTREQEzzzzDOvWrePJJ5/knXfe4ZNPPtEK1DwkQVLC4eHh4M/8i7F/unuTLYEjbaQiP4lWS/RAnC3ZRES5SBeT0NBQvv32WyZNmsSECROYMWMG7dq144MPPuCll17innvu4d5779WKP9hAj4yMJDo6OmCTknE0jVOJkldVVWkKAPgoT/X19drJEyUr9Q9iAElxaElJCR6Ph4SEBBwOB5999hm/+tWvdGFySUkJ8fHx2hnMz88nLCxM8+2DceGFFzJ//nzd+jE0NJSkpCSqq6u1jGT+f/rpp0ydOpXi4mLy8vJ056G4uDgdRTFbFwqFRhS5WUDa0NDAihUr2LZtGwUFBbzyyit4vV5eeuklXnrpJdxuNxEREUyZMgWHw0Fubi4333yzz/l6wHfvL730ElOnTiUuLk7Xmdg4dpjUKpl3Jl3IHH8pEq2qqtJGgmy0sikDuihPKaVbMCrl62Mt81o28KqqKm3QydiZNAnR0cI/djgcpKSkUFlZySOPPMKDDz7I7NmzqaqqYvXq1cydOzfAMJc+/JJVkgCO8GvlO5mf29ZgGtJCQ5B9S6KWct3SpUtxOp0sXryYHj16BGQ7RH4S7RbceuutHD58GKfTSWJiIiEhITq7JQ691+ulsLCQvXv3UlVVxbRp08jOziYmJiagjau0uhRKRJcuXZgxYwZjx47Vzn1dXV1A0WJMTIyeH9BIf6usrOSxxx7TBfdCXxKnTQ52AwKK00Xvmcbp6Q5xkiTwJB1whAomjrOsXdOxFU65ZC5lncuPOedlbZpZqoKCAjp37hwQnBS9YNKHxMiXDk9SYCyOuCC4tuB0g22YHyOkOEg4U1FRUZoXuXLlStxuN7t27WLLli2kpKToCSUwNxSzejiYJ2V6+2LohYWFsXr1ajIyMujUqROHDh3iyy+/DIiSSq9l2ciaigIFR6psWkvTaMool008JiaGpUuXkp6eTnFxMTt27NBFoTk5OWzevJmIiAgdfRZDWOgqe/bsYceOHQCsWrWK7OxsUlNTSUlJCehfLy26ZCMPDw9n7969vPfee6SmpurIuEQUxAiPj49n586dOvpgRr8kYiEbr7QA27RpE+vWrWPXrl3k5eVpXqFlWcTFxfGLX/yCffv20dDQwI8//ohSirS0NHbv3q0LmLt160ZWVhapqal60xTlfOWVV3LllVdy7rnn6jWUk5OjDxiSe5UUanh4OOvXr6dnz54kJiZqTrtAvg80biZ5eXksXbqUpKQkRowYQXR0NKmpqYwfP579+/cDkJeXpyliCQkJdO7cmZ07d1JTU8PQoUO1Q+v1esnPz9efl5CQoD/zdFb2rQWzxsGkQJmcY9GXop9kczej4uY1Ho+HqKgo6urqWLt2LR6Ph2HDhjFs2DCtB2WOS7rb1Hsmv1zmnehRKRQF6NatG4MHD6ZTp076gKqVK1cGfD8xKkUHB9AIIaAPdFuESTERx15kAvxkbPbt20dMTAy9evWipqZGfy8papfxlfUvnH3LsjTHW2RkUlSUUrpHeENDA4mJiSQnJ+sAlqw9aTUrAatOnTpp41lkLvtrRUUFmzdvprCwkFGjRunzEMwI/YYNG5g2bZqmR5ljFx4eTnx8vHYyJBt4JrZLDKZqmnQwIMB2EAql1P0cqRhW3s90TJ1OJyUlJRw+fJjrrruOs846S1/blNEvGWkTZu2BcMpN6ubpPi62YX6MEMXtdDr58ssv2b59OyNHjqR79+784x//YNmyZeTk5BASEqJpC6bHKNFOiaQIz1d+hN8nKZuoqCj27dvH1q1bad++PVu3buXxxx/XJyVWVlbSr1+/gM3ETLvJc+ZiMVOMZsTKxpFhblphYWFERkby4osvajrTjh07tMGxbt06Pv74Y10w+cUXX5CRkcHHH39MVVUVkZGRDBkyhD59+rB8+XLmzp3LnXfeyZtvvgmg5wagI3uiYBwOB3v27GH+/Pk65SpRAknphoWF0b59e31UtnB0hacrEaPExETq6+t1pHHlypUUFBSQm5vLvn376N27N0lJSYSGhjJw4EDeeecdrSznzp1LRUUFM2fO5N5772XBggXMmzePCRMmBMjN4XCQk5PDxo0b+e1vf0tVVRXvvvuuNmL++Mc/0q1btwC+pzisVVVV3HTTTWRmZpKUlKQjVZWVlbrHuhhaUptRUlLCwoULuemmm1i0aBEhISEMHjyYDz74QN/7E088oQ9CGjduHKmpqaxatQq3280DDzxAVlaWNhLee+89buZmAO65554A49HG8UMi2iaFxOPx6MCDyReW6Lb5nGRIZN46nU7KyspYs2YN8+bN45ZbbuHJJ5/UgROXy6UdKTlZUN7bpENI8Tw0OuSRkZHk5+cTHR3NO++8E9AhaMCAAXz88cc4aIySRkdHa30vBos4nA6HQ2eFJNLbliCBANEjpizkjASRnYxHXFwcK1euZOHChZo6Fhsby8GDB/VJqVVVVQwaNEjrmDVr1vyERmlymE1DSmQoZznI/Yh8zVqapjj8QqdYtGgR69atIzs7mwkTJvDyyy8HBCiELpGUlMR7773HDz/8oOtP5DyJnTt3smDBAvr370/fvn0DusIE38vpDmECiMEt31VsHzOrZTapsCyLxMTEJk94NZtNCN3Q4XCwd+9ehgwZQkFBga7nMZtkSGBIsmJOpzPgb7k3uVdZb0J3NLM1pyPOnFnVAhDF9Mwzz7Bt2zaee+45rrzySp1WXbRoEdOnT9cRGzPFJ502xKuTDV7SPE0VUyxatIiXX36ZBx54gBUrVlBUVKSLCe++++4A/jo0nrQmylR3kfCPcnAkx0bTMBWL+bi+vp7CwkI+/vhjevfujcvlYtq0abz++usUFhYyefJkfvnLX9KhQwe2b9/Or3/9ayoqKnR0p3fv3rz55pusWrWKu+66i61bt+pTMcWJEiqTyZkDKC4uZuDAgSxYsICuXbuSl5enN1SZM5KqX7t2Lb/97W8DIg2iHMXgV0pRVFSEx+Phjjvu4PHHH2fTpk3ceuutuFyuAN58ZWWl7p1eVlZGTU0NFRUVulhTskCiKCWS9P333zN9+nQOHjyoP9csuvvmm2/45JNPcDqdOsJVXV1NUVERoaGhTJw4kddee00r+7i4uICskhhqlZWVpKen88c//pExY8bo7+t2u3VUNSwsDLfbTUxMDIcOHeKJJ55g7dq1vPDCC2RkZDBp0iTeeust3UO3pKQkYNwllW5HzE8MEv02MykVFRWaJmEGCsxMn9frpbq6moYG3+EjJk3p66+/ZvLkyaxatYqMjIyA+gspVJNTbSXrJPciPHCJuiYmJmrjsLq6WmeNTD6raZSZMDtvhYSE6AJtMSTM/2trXHMxvISyIoazZOSCD2mS7/7FF1+wfft2oLEFoRQIzp49my+//JK5c+fSt2/fgKywZC8kOyhrq7y8XGc4JBIqdExx6lwul67xEbqFdIqRolQzw/Lwww/Tr18/3nrrLbp06QI06gVAzwen08kzzzxDbGxsAE1R9vVHHnmEhx9+mPPOO0/rHgkSnEmGOTRmk8xsj8xb0e3iSIvjKbaMWX8jdQNmJF1+iw6IioqiuLiY5ORkvScIN1y45ua9mIWfUlsA6NNJZT+QIKdZC3a64cyaVacQJt8uPz9fT6iIiAjNk7r44ouZMmUK9fX1vPjiiwwZMoRBgwYFcKRkMZsN8mUjEj6kpOVKS0upqKjQ3mmHDh0A6NevH1OmTGHnzp384x//YPDgwZqHJxM2KioqIB0JBCwiQVvbKNoigqvUu3TpQkNDA9HR0XTu3FnzruUQiuzsbLZu3crw4cNJSUnB7XajlKJr166kpaXh8XgoKCjQlBTZHCViLsVqtbW1OnIQGRlJYmIiaWlpOBwOOnXqpO8NAiP7nTt31ifSmn1jRelJNEH+NykpiYaGBnr27ElUVJRuTShKMSYmhm+//ZYtW7ZQXFzMFVdcEVAkJkVDQIDhmpCQwJgxYzh8+DDt27fH4XCwfv16srOzueCCC+jZsyf19fUkJydTUlLC4sWLadeuHb/61a8oLy9n4MCBtGvnO5nULBjyer0sX76cgoICxowZow/C+PTTT8nLy6OkpEQ7wSblQU5xDA8P5+DBgxw8eJAOHTrQr18/evfuzZIlSxg+fDiXXHKJXmvynSRaZEYObRwbZC4FFy0HQ4wqmceiq8LCwgI6hhQVFbF8+XI2btzIiBEj6NWrVwB9CtCdeCRzKAaUzH0xwEzDz6TJCP9Z3iu4rsOE6FUxXEznQ14XtEVdK7IQo1wOdQG0EST7VUhICEOGDGHcuHFEREToJgZyqNiqVavo2rUrQ4YMoX379pqSKfKQPU+KOsWYkrEXI1vqo8wslUmzkMiqREvF+Rbu+tKlS8nMzOTSSy+lW7duAbRNybqBT/eNGzdOG+WxsbH6M3ft2kVRURFDhgyhd+/eeg4JnaWpaP/pDDPDLzBpTaLnpYZD9hWZ8yIHc72bVBbJ2K5bt45vv/2WCRMm0L59ewC9DuUMEDNrJvaTmbk2uf5m7YmgrWWmjhdtyjA3ubDmIhSYj1tawUl/6dTUVNLS0igrK9NKXhRyv379mDVrFvPmzeP3v/89EyZM4IILLtCbQ/AGUVVVRXx8vObVejweKioqSE1NRSlFcnIyaWlpOjUnxlBqaqqOos+aNYtFixYRFxenDXM5rSt4E5QJ3JLGuJnKMmHeQ2tz3S3rp4cwNXWNRApycnLo3bs3ZWVleL1e4uLidJvM/Px8ZsyYwbZt23j22WcZP34869evJy4uDsuydCTWNECEygGNtQzyWzYcSccfOnSIbt266Y4AZipPIkbl5eUkJibqjRQaoxTSLlGuDQ0N1c5fYWGhniMS/RbFvHHjRh566CGuvvpqxo4dS3l5uTZS5R4kwibyOu+883jxxRcpKysjPj4ey7L4r//6LwoLC7nyyiuZMWOGluvu3bvZsmULLpeLd999NyBNLLQEkVd1dTVvvfWW5uh36NCBkpISnn32WX2/Eumrra3Vhr3H4+Ghhx4iKipKF5Lm5eUBcMstt3D33Xezdu1ahg4dGhBtkU3mdI6OyRpriopzqvWBZVm63WdiYqKOhkoLOuEam4eRQKM+EP0nrWR37drF9OnTOeecc3jzzTcDOMoyz6UrlpmdFOfX5JMnJiYG1PdIVkjWgBheYihoWarA7ycGhGX5CuGio6MD9jOTwtEc8gzeJ0/mvWS9iJEsnHgJOMkBYtKScOTIkfrgMilGDw8PZ8+ePYwaNYpZs2YxduxYHZEWCFWmurpaG+BCW3E6ndTX12sqidB+JIIrzRIkOiq9suVUTtFBISEhbN26lenTp/PRRx/Rt29fHVAxHT9xChISEpg8eTITJkzA6/Xq4EptbS1vvPEGX331Fa+++qpuuygH3QRTDZtjDATB86al9kWJOgPa4BadK1l9cWhkbxK7RB4DWtfK2Q8SIAkNDSUvL4/HH38ct9vNW2+9Rfv27XWkXanAVplSSyBOmMkfDw0N1e1wTWqwmXVuDZjUMCDAYTkeHNNOo5TaD1QCDYDHsqyBSqlE4H2gK7AfuNGyrFLlm0UvAlcA1cCtlmVtOYbPCHhspj+OZtS1FMy+rrLZy2I3o5AS2ZSDJpTydQ2QtKgoq8jISKKiosjPz+ftt99m7969TJo0ibi4OG0UySYhi0SiDPL9MzIytIEk0VAz1Qv+dnd+29zs5dsSHHMx8szokTx/JLpIS+FYNjThs0kqXDYts9+xy+XSHVCEr3jo0CEOHDgQ0GZLDn6qr69n0KBBzJo1izlz5nDhhRcyevRoXb8gnymyE2dMHDsgoMhFFLgoAKV87QulqwUEKgtRduZhOeIUyMESZos0mePSq1+iWzKPJXrkcDgoKSnhT3/6EyEhIVx99dWkpaUBvsj5wYMHWb58OYsXL6aoqIioqCi9bpYtW8a6deu48sorycjI0PNX2qtdcskl5Ofn88wzz3DttdfStWtXbSzIRu90OhkzZgxdu3bVDoJJQairq+Of//ynPkhG+MVvvPEG33//PXv37mXfvn0UFBQwY8YM30FOV/jmwaZNm/Sx7NJtp62jqSCGWVhlIjjV3NyQTg9iNJu6Uj4zNDSUhISEgAiYabQ5nU7y8/P56KOP2LVrFzfddBMXXHABXbp0Cag5+Pzzz/m///s/Zs2aBfgc5VWrVrFz505CQkKYPHky8fHx+tApuT/pWiStTW+88UYyMzNZsGABV111FampqTQ0NJCbm8uHH36oO/aYkPUqlBqTwx6sA08EpnMq69nk7cPxj2FwcESMHtEp8pwEesRAkkJPaHT2OnfuTEREBGeffbbmb8t+ZEbkTaM/uMA3JiYGt9ut5SY0INEHkgWR04NNGlxubi5Lly7lxx9/5MYbbyQrK0tH3eW7rl+/nvr6es4//3xd3yB1YabswsLCyMjIYNeuXTqabmZyJAjWHM66OQam42zejzn2pwrBtRaAdpYtywroIiddb2SPC6Z5yTkaZttD8K21/fv36zEx54a0z5QssdRuyGdDYAcyy7I4fPgwX375JTfccAPh4eGUlZVp9kBLoykH60TX/PHMqtGWZRUZfz8KrLIs6xml1KP+vx/B1/33bP/PhcCr/t9HxZGi5BC4cZjXtKRB53Q6tccoJwqWl5fr182JEHx8rMlXq66u1lFQj8fD9u3beeGFF+jcuTMffvghHTt2BHwTXw6hkc8Roxx8E7qsrExHYWVRyOmkAq/XG2CYt2TaTTanYxmr1jDOj/SZonAlaiZjKbxU6bQim1VRUZGONrtcLmJiYkhOTtYGnNQYlJaWUl1dTd++fenbty8hISE88MADXHjhhVrJmW0ShZ8qdBFRVkDAaaACkXVYWJieO9DIIxUnEhr5r2b0R074NOkpwvGtra0lMTFRO45mRFGUqsvl4uWXX8br9dK/f3/S0tL0Zy5dupSZM2dSXl6uI12WZZGTk8MLL7zAgQMHePXVV7nkkkt0ZxRRyhdccAF//etf+c///E+UUjz66KO6ONXhcFBeXk6HDh2YMWMGgwcP1uMllfrisD722GPk5ubqyK3H42HNmjV88cUXVFVVERcXh8fj4b//+78DnNh//vOfZGVlaaf8dDDMTV1pOmZNbR4tAfOERtmwhR4BaAqXHEBlzq/a2lrCwsIoLCxkzpw5REZG8v7779OrVy/cbndAQfA777zDa6+9pg3zyspK3n77bVasWEFYWBg33HCDruuwLF8XHjH2XC4XYWFhJCUlcfvtt7Nz504uv/xyMjIyGDt2LA6Hg2+//ZbZs2cHGOaSuhejVRxO02lujtR6Uxu9GD1NOVzHAxkXeS/hncv6lXbB5niY/H+n08nhw4fxeDzk5+eTmZmp388s/hMD3DRozQ4toaGhuN1una0z2/TJ/4oMZH+ROZSTk8Pzzz+Pw+Hgww8/1HNM7q+yspI1a9ZQV1dHjx49tC6T7layT4vBXlxcTGFhISUlJZqKJ45jcyDYllEqsK1gcKblVK/VpuogTPqKPN/Q0EBKSgqxsbG6/aRQluT1iIgIunTpojMN8t61tbUkJSUFtBOV+WGerizyl64/osvFjoqOjsbj8bBt2zY++ugjLrvsMlJSUlqVKmaOl+BE7a2TsdKuAd70P34TuNZ4/i3Lh6+AeKVUx597syNNPNO4O9GoQHNA+FH33HMPX3/9NS6Xi6uvvppRo0aRnZ2N1+vl3XffpXPnztx3331ERkayePFinXJZs2YNiYmJTJ06VXuTkZGRPP/886xevZovv/xSRxjnzZtHeno6CxYsIC4ujlmzZvHBBx/o+9iyZQuXXHIJo0aNIicnhxEjRjBhwgT27duH1+slJiaG8vJyXTwjELqDOXlOpSxNKo2ZejUVtflaS8JMFwZDUtoim2C+qDg+QuXwer0kJydzxx13cM455/Cb3/yGQ4cOcdlll2lDTlJ5YgSXl5cTHx+vuXVi4EvqtqqqCqfTqaNvgI4oiFFdWFioDZmKioqAQlN5X2hsQyXGptlD3+v1UlFRAfhaLYrBKzUK77zzDr169eKbb75h3759vPrqq1oBS3SttLRU34M4nGZEz7Ispk6dSllZGQ0NDRQUFOhM0IgRI7j99tvZs2cPF110kU5NmxE6y7Jo3769jmrl5+fjcrmIioqiurpaXycGksPhoKqqSqdbAZ2xEKN8/vz5OhNQWlqKx+OhtLRUZwUWLlyo58P06dO1k3C6Fn/KeAXPe3P+n6o1KOu9oaGByspKvUmff/752kh76KGHKC4u5v3339e9rhcsWKDb0hYXFxMTE0PXrl3ZuXMnWVlZhIaGEhcXR0JCAtHR0YSFhfHaa6/p+gA5Z0A2R3F0Ac2LjoyM1PQnOQlWIvWZmZl8/vnnPPfcc1p2b7zxBt98881PvqOsbdPQi4iI0K0BTd72yeBIQavgx8eL4P81o5gSIRaHQ6LMLpeLxx57TMu/d+/eFBUVcemllzJs2DD27NkDoPWYFH6DT4/W1NQE1F5JLUdcXBwpKSkkJSXh9Xp1NkPoCi6Xi6KiIv1/4JtjsbGxpKen88MPP9CvXz/atfO1q42PjycyMpKOHTsyc+ZMUlNT6dKlix4Xoc1s3ryZ0aNH62DIww8/zIoVK+jUqRNPPfWU1memUXkyYyoybitBKzPzIp8rhbZSpyO0x02bNvHoo48yefJk7YBJzV1MTAzt2rXjX//6F3fddRe1tbXs3buXQYMGcfHFF/PGG2+wf/9+hg4dqoM+ElCKi4sjOjqaqUbROH0AABN5SURBVFOnkpqayt///ndiY2P1ORPR0dEkJibqx9dffz0ZGRm6/3xcXBx1dXW6MUFLoqlxaqpG4lhwrBFzC1iplLKA1yzLeh1IsSzrsP/1PCDF/zgNOGD870H/c4eN51BK/QfwH+BLgUn7OYk8HOlLtKZHFB0dzbhx4+jXr59uqZSWlkaHDh1QSjFw4EBmzpxJZWUlEREROgrjcDg051UMBlng3bt315FF+X7Dhw/nD3/4A3V1dURFRVFfX0/fvn0B3+D26NGDO++8k1/+8pfExMTg8Xg466yzSEpK0oaweex6MFrC+4bGrhlmi7SWNsCPBLPa2+Fw/MRFlaiubMiyuRcXF+tIktmBYeHChYwbN47Zs2czfvx4PB4Pjz32GDU1Ndx111243W4qKiooKysjKSmJuLg45syZw8aNG7n++uu57bbbuOaaa/QJgvK+Jsd17dq13HnnnaSkpGiaVPDpbGFhYRQVFekDNaAxRRoSEqLpUKYMZLOU6nilFO3bt2fq1Knk5+czdepUhgwZopWfbLB33nknQ4cOZcOGDVx33XXU1dWxY8cOevToEVAwJ/fR0NDA+vXrefnll1m2bBnXXnsto0aNYtu2bSxZsoSQkBD69OnDE088ERDBamho4IorrqB9+/bs2rWLiRMn8vnnn+N0OnW689ChQzz44IN06tRJR95MbrjH4+Grr75i6tSp+juIDCorK3nuued4+umnqampYcaMGT5n5dbGuSKRt9PlGG4z8mVGGEWeTRWtnSqdYNIAJHKulOKRRx4hPz9fR6ydTqfu+BMTE8OIESMA9PkBDoeDe++9l+uuu047p2YRp1CfEhIS9LjHx8dzzz33cPXVV1NfX09iYmIA1Q8I4K+KEy5rIiUlhd/+9rdceumlKKXo168f6enpP5G1+V2Di4ObsxDNHCPJqomelSyD+frxROxMpy34e8hrEsEGnzNy1VVXcdZZZ+lARkxMDBUVFbRv356OHTvqczWC6VTQeNqooKk9oqm2v+IYmM4DQKdOnXjkkUe48cYbdc2LRLjNIvtLLrkk4P/k87p3787999+vzzCIjo7WNThSiA5oesbJ7mXB61PsH4kKS6Yg+PpTBZOZID9mZsPssGJZFv379+eBBx7gxx9/1I6VBEKGDBkCoDMfXq+XvLw8ysrKgMADreQzZR/zer2MHz+eHj16aGO9oqIioAjZHL8LLrggIGsmDnJLI1h+JzNHjtUwH25ZVq5SqgPwqVJqt/miZVmW32g/ZviN+9cBBg4caMkXCOY+H8mrbM4Jqn6u8k8QClx6lNeFwHOyyPL/NAUFxAO//pn3aCKw11IpsabQVGSnJdN0R7qfphaOWXEuhzy5XC5KSkp0Ma5SSqc627Vrx4EDBxg6dCjjx4/H4XDw3Xff8fnnn1NYWMj1119Pt27d6NChQwA/8rbbbmPbtm2sXLmSYcOG6fuSqKwoHymEcbvdfPvtt5qDGRsbG3DimUlZOO+887RSN4unJMK0Z88elFJ06dJF9zXfv38/5eXlNDQ0cODAAf7617/Sv39/br/9dpKSknRaUSlf8d6wYcMYOnQo33zzDcuXL9cbebdu3QIOvyoqKqJ9+/aUlZWxfPly/v73v+N2u7nnnnsYOXIkkyZN4m9/+xuW5StcdblcOlUpbQ579epFZmYmTz/9NKtXrw6o9xDFv2XLFnbs2KE7RICv64JkEEpKSrSRLgZYSEgIhYWFLF++nHHjxpGXl8eSJUsYOXKkng8ej4eampqA6Gtbh7mezA09+HdL3o/yU1gEEydODHDaxAE2My0mxSE8PJyrrrpK/7/ptCrV2BfbjGY6nU4uv/zyJukkMg+EGx5MJQAfBWf8eN8xn+LgBkMMBbkGCDAwjzQWJwszC9LUex7P5zR1bVOOm9l5w+l0Mnr0aC6++GI9FmanFKklMB0hcwzMTGSwrExqjfk/R3N84uPjufTSSwMaHMhvMdrMQIFkAuTeO3bsyMSJE/W1Mo/kPqUo/2gyPxGYe+DRahFO9Zr9uTlrjoVSvuYUN910U8C8aGp+C0Wzf//+7N+/P6Cfv1kLZ1JHR44cyYgRI3SGRiDXyTo056iZnW8NmAEI875OZL4ck2FuWVau/3eBUup/gEFAvlKqo2VZh5WPqlLgvzwXyDD+Pd3/3FEhhpBEmo9kyNk4cbSU/GRxCiVCaAlyD00ZCi0Ns+goGEIZkUOhtm7dyvPPP4/L5eKJJ54gKSmJNWvWsGjRIpYuXYplWQwfPpzhw4fryF1YWBhPPfUU2dnZuhd9nz59yMjI0BGu8PBw7r77bt3yDQiISElUXigXffv2Zdq0acTFxVFQUEBYWJhO9QulIzExkd27d/Pyyy9TUlKiu09IhsfpdPLhhx/ypz/9iT59+jBv3jwuvvhi5s6dy9tvv82ePXtwOBxMnTqVadOmMXjwYN1OUegcSindTUgpxW9+8xuGDh2qC/s6d+5Mt27dAJ9SnjRpEkVFRXTo0IHevXvz2muvER4eTmZmJl6vl9tvv50xY8YQExPDvn37eOCBB5g5cyZpaWm6f7XgjjvuID09naeffprvv/8eQKe1p02bxtChQ6mpqaGgoEBzRWNiYqiqquKVV17RJ4WahlrXrl258cYb+cMf/kB4eDhPPfUU5557LktYAqD7YUuG4XTVQ+Hh4bpoz1yPguZu/fazAQ/zZdNmbhf0+pHeJvg6CUaEBT0f/P6CkKO83tTOqJp+H5GhOAbBzzenvjOL5SQTK3pCcLzBjqbuz4wwm9xjs+bG/H+51nR0RBaia48kkyM9Nr9rU68J91gOlTHrZ0yHz6zdkfs3ee5mkbzYIUKtMGF2VBPazclkQ2QvNB0X6cBlFlqazsQpjZijml5rR/vI4K8ffK0sh27AUt/DIQw5+vvIY0XjWg5+rSk1pYKuaUWY43UijTbUz3kXSqkooJ1lWZX+x58CTwCXAMVWY/FnomVZDyulrgSm4OtpcCHwkmVZg472GQMHDrScTqfucZyenq6NAPPgBulnaUYVm+LcHavH5IxwHtN1ZwrcNe4W+RxJebrdbnJzc4mPjyc5OVlHUIJ7ngLaWDgSh7K5vWDZaOTzY2Nim/X9bZw5qHZX60yERHDbCo6k7yTCJ1kXOep8z549us+9OJGyxpqDavbvplOhefWqGLjBkDESqqdE6QsLC7Esi5SUFD2ecv2RjIF/xzFqLdTW1TZJaTD1iRj4oaGhlJWVUVJSQqdOnYiMjNT8awkmNHfG7t9pLjS3/SPjarY+Nh3Y0NBQKisryc3NZcCAAQwbNgyXy8WmTZt+1ko/loh5CvA//kUeAiy2LGuFUmojsEQpdQeQA9zov/4TfEb5D/jaJd52LF9SPO1Dhw4FbCTB/GTZbMzuFSe6mWzhZ7s4nlHYxa4W+RwxzOvq6igqKtL0BOl3KgrGNIzNbgAn42wdK4SbKR0H6NWsb2/jDMJ3330HBPK22yKCaX9m602J+Ofk5Oh+zYA25JqrBmQLWzi///kn90VOI2zZuuWU6dXg8ZT9Dxrb0Um2qLKyEqWUrn9pipKg0f+U3K6NJrBjxw79OHg8pVAYfJnSsLAwysvLqayspKamhvDwcGpqao6YqWgO/Lus11O1TmWtBWdYhHJVW1urT9g+Ht36sxHzlsDAgQOtqKgoPvvsM80BNSkPZqpMcKoiqTaaD6ZBLenN4IJAc/xOhQF+IpB7lLkIPy3oMOej+bip79XU3BUn5Egw30dkF3yPQMDnmvxWk6drvh6cEm0qxWz2KzbXYvD9Bb/3kb6/2effhMntNeVh8hWPNB/M6EQwT9GcZ0eKQJpyakpeZwqOtN6aksuZ+P3PZATr15MJUtloPQTrZtHBwE/2jbYyvk3dS/A+2NSeYe6hZzqEwiL70ujRoykpKWHz5s3NEjFvEcyaNYunnnpKH1hi9riEwIpxc4CD0ZYm778zZJxMI8s0foI9/6ONp/x/c0IMb0n5m3w++SyJ/CuldGQDCEgrBjuOJndd6Fe1tbVER0fr95BDh4LpWCZ/Uv6WQlF5L5MC1FQdhsg2mCMqxrZZoCX3GpyGkyPupfApuDDOvE95PZjXakYRpGhUOq3IZ5mdNKSLishaTi2VQ0Wk+0y7du10lNdM60qhqMg+uNtDsONiXme2ZVRK6SOf5bua86GtRcuPtD7M9Wd+N9NJknE/kx2T0w3mOjwSzNeD57lp1Nnj2fo4lvGERp0vDlZTwY6jBRlaGkfKrpl7n0nTEQM1eJ8KrlU4XXCkwKIg2G5VSvH73/+ehx566Jjev80Y5qNGjeKiiy76iWHR1jZCG8eG4LR/8AI8HcbVNF6DFYpZbGQavNDY+kmUVHC1ePB3D3Y4BU1VngcbmSZMgzm4bZoZWT4azGIv+V5H4zUGR81NI/9oY2xGt4NlbN6HKYOmrg0uwDKr9k3HxLxO7lnGJvgEv6PSAGzYaEX83Lo6XXSrDR+CC1xN2GN55kAaQhwr2gSVRSlVCFQBRT93rY3jQntsmTY3bJk2P2yZnhrYcm1+2DJtftgybX7YMj01OFm5drEsK/nnLmoThjmAUmqTZVkDW/s+ziTYMm1+2DJtftgyPTWw5dr8sGXa/LBl2vywZXpq0FJyPT1Oy7Bhw4YNGzZs2LBh4wyHbZjbsGHDhg0bNmzYsNEG0JYM89db+wbOQNgybX7YMm1+2DI9NbDl2vywZdr8sGXa/LBlemrQInJtMxxzGzZs2LBhw4YNGzb+ndGWIuY2bNiwYcOGDRs2bPzbwjbMbdiwYcOGDRs2bNhoA2h1w1wpdblS6jul1A9KqUdb+35OFyilFiqlCpRS2cZziUqpT5VS3/t/J/ifV0qpl/wy3qaUOr/17rztQimVoZT6p1Jqp1Jqh1Jqqv95W64nAaVUhFLqa6XUt365zvI/300ptcEvv/eVUmH+58P9f//gf71ra95/W4ZSyqGU2qqUWub/25bpSUAptV8ptV0p9Y1SapP/OXv9nwSUUvFKqQ+VUruVUruUUkNsmZ4clFI9/XNUfiqUUvfZcj05KKXu9+9R2Uqpd/17V4vr1FY1zJVSDuC/gbFAJnCzUiqzNe/pNMJfgMuDnnsUWGVZ1tnAKv/f4JPv2f6f/wBebaF7PN3gAR60LCsTGAz8zj8fbbmeHGqBiy3LOg/IAi5XSg0G5gAvWJZ1FlAK3OG//g6g1P/8C/7rbDSNqcAu429bpieP0ZZlZRn9iu31f3J4EVhhWVYv4Dx889WW6UnAsqzv/HM0CxgAVAP/gy3XE4ZSKg24FxhoWVZfwAH8itbQqXKMdmv8AEOAfxh/Twemt+Y9nU4/QFcg2/j7O6Cj/3FH4Dv/49eAm5u6zv45qnw/Bn5hy7VZZRoJbAEuxHeCWoj/ea0LgH8AQ/yPQ/zXqda+97b2A6Tj23wvBpYBypbpSct0P9A+6Dl7/Z+4POOAfwXPNVumzSrjS4F1tlxPWo5pwAEg0a8jlwGXtYZObW0qiwhCcND/nI0TQ4plWYf9j/OAFP9jW87HCX9aqj+wAVuuJw0/5eIboAD4FNgLlFmW5fFfYspOy9X/ejmQ1LJ3fFpgLvAw4PX/nYQt05OFBaxUSm1WSv2H/zl7/Z84ugGFwJ/9lKsFSqkobJk2J34FvOt/bMv1BGFZVi7wHPAjcBifjtxMK+jU1jbMbZwiWD43zu6FeQJQSkUDfwXusyyrwnzNluuJwbKsBsuXdk0HBgG9WvmWTmsopX4JFFiWtbm17+UMw3DLss7Hl/r/nVJqpPmivf6PGyHA+cCrlmX1B6popFcAtkxPBn6+89XAB8Gv2XI9Pvj5+NfgcyY7AVH8lC7cImhtwzwXyDD+Tvc/Z+PEkK+U6gjg/13gf96W8zFCKRWKzyh/x7Ksj/xP23JtJliWVQb8E19KMF4pFeJ/yZSdlqv/9TiguIVvta1jGHC1Umo/8B4+OsuL2DI9KfijZliWVYCPszsIe/2fDA4CBy3L2uD/+0N8hrot0+bBWGCLZVn5/r9tuZ44xgD/siyr0LKseuAjfHq2xXVqaxvmG4Gz/VWvYfhSMktb+Z5OZywFfuN//Bt8HGl5/hZ/ZfZgoNxId9nwQymlgD8BuyzL+qPxki3Xk4BSKlkpFe9/7MTH29+Fz0C/3n9ZsFxF3tcDq/3RHxt+WJY13bKsdMuyuuLTm6sty/o1tkxPGEqpKKVUjDzGx93Nxl7/JwzLsvKAA0qpnv6nLgF2Ysu0uXAzjTQWsOV6MvgRGKyUivTbAjJXW16ntgHC/RXAHnyc09+39v2cLj/4FuNhoB5fVOIOfPymVcD3wP8Bif5rFb7uN3uB7fiqjlv9O7S1H2A4vtTfNuAb/88VtlxPWq79gK1+uWYD/8//fHfga+AHfKnYcP/zEf6/f/C/3r21v0Nb/gFGActsmZ60HLsD3/p/dsh+ZK//k5ZrFrDJv/7/F0iwZdosco3CF6GNM56z5XpyMp0F7PbvU28D4a2hU5X/A2zYsGHDhg0bNmzYsNGKaG0qiw0bNmzYsGHDhg0bNrANcxs2bNiwYcOGDRs22gRsw9yGDRs2bNiwYcOGjTYA2zC3YcOGDRs2bNiwYaMNwDbMbdiwYcOGDRs2bNhoA7ANcxs2bNiwYcOGDRs22gBsw9yGDRs2bNiwYcOGjTaA/w9nxnxB1x7vpgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1728x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/postprocess/rec_postprocess.py#L441\n",
    "\n",
    "from ppocr.postprocess.rec_postprocess import TableLabelDecode\n",
    "\n",
    "def post_process(out):\n",
    "    character_dict_path = '/home/aistudio/PaddleOCR/ppocr/utils/dict/table_structure_dict.txt'\n",
    "    # 初始化后处理 op\n",
    "    post_op = TableLabelDecode(character_dict_path)\n",
    "\n",
    "    post_result = post_op(out)\n",
    "    \n",
    "    structure_str_list = post_result['structure_str_list']\n",
    "\n",
    "    # 归一化的坐标回复到原图大小\n",
    "    res_loc = post_result['res_loc']\n",
    "    imgh, imgw = img.shape[0:2]\n",
    "    res_loc_final = []\n",
    "    for rno in range(len(res_loc[0])):\n",
    "        x0, y0, x1, y1 = res_loc[0][rno]\n",
    "        left = max(int(imgw * x0), 0)\n",
    "        top = max(int(imgh * y0), 0)\n",
    "        right = min(int(imgw * x1), imgw - 1)\n",
    "        bottom = min(int(imgh * y1), imgh - 1)\n",
    "        res_loc_final.append([left, top, right, bottom])\n",
    "    \n",
    "    # 结构信息处理\n",
    "    structure_str_list = structure_str_list[0]\n",
    "    structure_str_list = ['<html>', '<body>', '<table>'] + structure_str_list + ['</table>', '</body>', '</html>']\n",
    "    return structure_str_list,res_loc_final\n",
    "structure_str_list,res_loc_final = post_process(head_out)\n",
    "\n",
    "print(structure_str_list)\n",
    "print(res_loc_final)\n",
    "\n",
    "# 可视化预测 box\n",
    "plt.figure(figsize=(24,8))\n",
    "img_show = img.copy()\n",
    "for box in res_loc_final:\n",
    "    cv2.rectangle(img_show, (box[0], box[1]), (box[2], box[3]), (0, 255, 0), 2)\n",
    "plt.imshow(img_show)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## 3. 训练\n",
    "\n",
    "训练表格识别，需要训练三个模型，分别为文本检测，文本识别，表格结构模型，文本检测和识别的训练可以参考之前课程，这里只介绍表格结构模型的训练过程。\n",
    "\n",
    "本节以pubtabnet数据集、MobileNetV3作为骨干网络的表格结构模型模型介绍如何完成表格结构模型的训练、评估与测试。\n",
    "\n",
    "\n",
    "### 3.1 数据准备\n",
    "\n",
    "本次实验选取PubTabNet数据集作为我们的演示数据集。PubTabNet数据集的样例图如下图所示：\n",
    "<center class=\"img\">\n",
    "<img src=\"https://ai-studio-static-online.cdn.bcebos.com/9732a3b97aff4a4194c5aec210400a8b0031c4f1887548d78f92f6941db0a6bd\" width=\"1300\"/></center>\n",
    "<center>图 4：PubTabNet数据集示意图</center>\n",
    "\n",
    "项目中已经下载了PubTabNet的部分数据集，存放在 /home/aistudio/data/data119702 中，可以运行如下指令完成数据集解压，或者从 [https://github.com/ibm-aur-nlp/PubTabNet](https://github.com/ibm-aur-nlp/PubTabNet) 中自行下载。\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/aistudio/PaddleOCR\n",
      "PubTabNet_2.0.0_val.jsonl  pubtabnet_val.tar  val\n"
     ]
    }
   ],
   "source": [
    "# 解压数据集\n",
    "! cd /home/aistudio/data/data119702 && tar -xf pubtabnet_val.tar  && cd -\n",
    "! ls /home/aistudio/data/data119702"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "运行上述指令后 `/home/aistudio/data/data119702` 有一个文件夹和一个文件，分别是：\n",
    "```bash\n",
    "/home/aistudio/data/data119702\n",
    "  └─ val/        \t\t \t图片存放文件夹\n",
    "  └─ PubTabNet_2.0.0_val.jsonl/         标注信息\n",
    "```\n",
    "\n",
    "该数据集的标注格式为\n",
    "\n",
    "```json\n",
    "{\n",
    "   'filename': PMC5755158_010_01.png,\t\t\t\t\t\t\t# 图像名\n",
    "   'split': ’train‘, \t\t\t\t\t\t\t\t\t# 图像属于训练集还是验证集\n",
    "   'imgid': 0,\t\t\t\t\t\t\t\t \t\t# 图像的index\n",
    "   'html': {\n",
    "     'structure': {'tokens': ['<thead>', '<tr>', '<td>', ...]}, \t\t\t# 表格的HTML字符串\n",
    "     'cell': [\n",
    "       {\n",
    "         'tokens': ['P', 'a', 'd', 'd', 'l', 'e', 'P', 'a', 'd', 'd', 'l', 'e'], \t# 表格中的单个文本\n",
    "         'bbox': [x0, y0, x1, y1]  \t\t\t\t\t\t\t# 表格中的单个文本的坐标\n",
    "       }\n",
    "     ]\n",
    "   }\n",
    "}\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 3.2 数据预处理\n",
    "\n",
    "练时对输入图片的格式、大小有一定的要求。所以，在数据输入模型前，需要对数据进行预处理操作，使得图片和标签满足网络训练和预测的需要。\n",
    "\n",
    "表格结构模型的数据预处理主要班刊下面几个：\n",
    "\n",
    "* DecodeImage，将图像转为Numpy格式\n",
    "* ResizeTableImage，对图片进行resize，长边resize到指定尺寸，短边等比例缩放\n",
    "* TableLabelEncode，解析标注文件中的标签信息，并按统一格式进行保存\n",
    "* NormalizeImage，通过规范化手段，把神经网络每层中任意神经元的输入值分布改变成均值为0，方差为1的标准正太分布，使得最优解的寻优过程明显会变得平缓，训练过程更容易收敛；\n",
    "* PaddingTableImage，对图像的短边进pad，将其pad到和长边一样的尺寸\n",
    "* ToCHWImage，图像的数据格式为[H, W, C]（即高度、宽度和通道数），而神经网络使用的训练数据的格式为[C, H, W]，因此需要对图像数据重新排列，例如[224, 224, 3]变为[3, 224, 224]；\n",
    "* KeepKeys，dict过滤\n",
    "\n",
    "**TableLabelEncode**\n",
    "\n",
    "解析标签文件中的标签信息，首先加载标注数据并取出一条标注"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 加载数据集里的一条数据\n",
    "import json\n",
    "from pprint import pprint\n",
    "with open('/home/aistudio/data/data119702/PubTabNet_2.0.0_val.jsonl', \"rb\") as f:\n",
    "    data_lines = f.readlines()\n",
    "    for line in data_lines:\n",
    "        data_line = line.decode('utf-8').strip(\"\\n\")\n",
    "        info = json.loads(data_line)\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "运行下述代码观察 TableLabelEncode 类编码标签前后的对比。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The cells and structure before decode\n",
      "cells:  [{'tokens': []}, {'tokens': ['<b>', 'W', 'e', 'a', 'n', 'i', 'n', 'g', '</b>'], 'bbox': [66, 4, 96, 13]}, {'tokens': ['<b>', 'W', 'e', 'e', 'k', ' ', '1', '5', '</b>'], 'bbox': [131, 4, 160, 13]}, {'tokens': ['<b>', 'O', 'f', 'f', '-', 't', 'e', 's', 't', '</b>'], 'bbox': [201, 4, 226, 13]}, {'tokens': ['W', 'e', 'a', 'n', 'i', 'n', 'g'], 'bbox': [1, 17, 31, 26]}, {'tokens': ['–'], 'bbox': [66, 21, 72, 25]}, {'tokens': ['–'], 'bbox': [131, 21, 137, 25]}, {'tokens': ['–'], 'bbox': [201, 21, 207, 25]}, {'tokens': ['W', 'e', 'e', 'k', ' ', '1', '5'], 'bbox': [1, 31, 30, 40]}, {'tokens': ['–'], 'bbox': [66, 35, 72, 39]}, {'tokens': ['0', '.', '1', '7', ' ', '±', ' ', '0', '.', '0', '8'], 'bbox': [131, 31, 166, 40]}, {'tokens': ['0', '.', '1', '6', ' ', '±', ' ', '0', '.', '0', '3'], 'bbox': [201, 31, 236, 40]}, {'tokens': ['O', 'f', 'f', '-', 't', 'e', 's', 't'], 'bbox': [1, 45, 26, 54]}, {'tokens': ['–'], 'bbox': [66, 49, 72, 53]}, {'tokens': ['0', '.', '8', '0', ' ', '±', ' ', '0', '.', '2', '4'], 'bbox': [131, 45, 166, 54]}, {'tokens': ['0', '.', '1', '9', ' ', '±', ' ', '0', '.', '0', '9'], 'bbox': [201, 45, 236, 54]}]\n",
      "structure:  {'tokens': ['<thead>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</thead>', '<tbody>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '<tr>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '<td>', '</td>', '</tr>', '</tbody>']}\n",
      "The bbox_list and structure after decode\n",
      "bbox_list: [[0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.27731093764305115, 0.06779661029577255, 0.40336135029792786, 0.22033898532390594], [0.0, 0.0, 0.0, 0.0], [0.5504201650619507, 0.06779661029577255, 0.6722689270973206, 0.22033898532390594], [0.0, 0.0, 0.0, 0.0], [0.8445377945899963, 0.06779661029577255, 0.9495798349380493, 0.22033898532390594], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.004201680887490511, 0.2881355881690979, 0.13025210797786713, 0.4406779706478119], [0.0, 0.0, 0.0, 0.0], [0.27731093764305115, 0.35593220591545105, 0.3025210201740265, 0.4237288236618042], [0.0, 0.0, 0.0, 0.0], [0.5504201650619507, 0.35593220591545105, 0.575630247592926, 0.4237288236618042], [0.0, 0.0, 0.0, 0.0], [0.8445377945899963, 0.35593220591545105, 0.8697478771209717, 0.4237288236618042], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.004201680887490511, 0.5254237055778503, 0.1260504275560379, 0.6779661178588867], [0.0, 0.0, 0.0, 0.0], [0.27731093764305115, 0.5932203531265259, 0.3025210201740265, 0.6610169410705566], [0.0, 0.0, 0.0, 0.0], [0.5504201650619507, 0.5254237055778503, 0.6974790096282959, 0.6779661178588867], [0.0, 0.0, 0.0, 0.0], [0.8445377945899963, 0.5254237055778503, 0.9915966391563416, 0.6779661178588867], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.004201680887490511, 0.7627118825912476, 0.10924369841814041, 0.9152542352676392], [0.0, 0.0, 0.0, 0.0], [0.27731093764305115, 0.8305084705352783, 0.3025210201740265, 0.8983050584793091], [0.0, 0.0, 0.0, 0.0], [0.5504201650619507, 0.7627118825912476, 0.6974790096282959, 0.9152542352676392], [0.0, 0.0, 0.0, 0.0], [0.8445377945899963, 0.7627118825912476, 0.9915966391563416, 0.9152542352676392], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0]]\n",
      "structure: [0, 1, 2, 3, 4, 3, 4, 3, 4, 3, 4, 5, 6, 7, 2, 3, 4, 3, 4, 3, 4, 3, 4, 5, 2, 3, 4, 3, 4, 3, 4, 3, 4, 5, 2, 3, 4, 3, 4, 3, 4, 3, 4, 5, 8, 29, 0, 0, 0, 0, 0, 0]\n"
     ]
    }
   ],
   "source": [
    "from ppocr.data.imaug import TableLabelEncode\n",
    "# 初始化 label 编码器\n",
    "label_eocoder_op = TableLabelEncode(max_text_length=100,# 未使用\n",
    "                                    max_elem_length=50, # 每张图最多预测多少个cel\n",
    "                                    max_cell_num=500, # 未使用\n",
    "                                    character_dict_path='ppocr/utils/dict/table_structure_dict.txt')\n",
    "# 构建输入数据\n",
    "cells = info['html']['cells']\n",
    "structure = info['html']['structure']\n",
    "# 2. 打印解码前的标签\n",
    "print(\"The cells and structure before decode\")\n",
    "print(\"cells: \", cells)\n",
    "print(\"structure: \", structure)\n",
    "\n",
    "image = cv2.imread(os.path.join('/home/aistudio/data/data119702/val', info['filename']))\n",
    "data = {'image':image,'cells': cells, 'structure':structure}\n",
    "# 执行 label 编码器\n",
    "data = label_eocoder_op(data)\n",
    "# 打印编码后的信息\n",
    "print(\"The bbox_list and structure after decode\")\n",
    "print(\"bbox_list:\",data['bbox_list'].tolist())\n",
    "print(\"structure:\", data['structure'].tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 3.3 损失函数定义\n",
    "\n",
    "模型的loss分为两部分：\n",
    "1. structure loss:  structure loss使用分类常见的 CrossEntropyLoss \n",
    "2. loc loss: loc loss使用MSELoss\n",
    "\n",
    "两个loss通过加权进行融合, 在代码汇总structure_weight和loc_weight分别为100和10000\n",
    "```python\n",
    "total_loss = structure_loss * structure_weight + loc_loss * loc_weight\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 3.4 模型训练\n",
    "\n",
    "完成数据处理和损失函数定义后即可开始训练模型了。\n",
    "\n",
    "训练基于PaddleOCR训练，采用参数配置的形式，参数文件参考 [https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/configs/table/table_mv3.yml](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/configs/table/table_mv3.yml)，网络结构参数如下\n",
    "\n",
    "```YAML\n",
    "Architecture:\n",
    "  model_type: table\n",
    "  algorithm: TableAttn\n",
    "  Backbone:\n",
    "    name: MobileNetV3\n",
    "    scale: 1.0\n",
    "    model_name: large\n",
    "  Head:\n",
    "    name: TableAttentionHead\n",
    "    hidden_size: 256\n",
    "    loc_type: 2\n",
    "    max_text_length: 100\n",
    "    max_elem_length: 800\n",
    "    max_cell_num: 500\n",
    "```\n",
    "\n",
    "损失函数参数如下：\n",
    "```YAML\n",
    "Loss:\n",
    "  name: TableAttentionLoss\n",
    "  structure_weight: 100.0\n",
    "  loc_weight: 10000.0\n",
    "```\n",
    "配置完成后通过下面命令即可开启训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ln: failed to create symbolic link 'PubTabNet_2.0.0_train.jsonl': File exists\r\n"
     ]
    }
   ],
   "source": [
    "# 配置数据集\n",
    "# !mkdir -p train_data/table/pubtabnet\n",
    "!cd train_data/table/pubtabnet && ln -s /home/aistudio/data/data119702/PubTabNet_2.0.0_val.jsonl PubTabNet_2.0.0_train.jsonl  \\\n",
    "&& ln -s /home/aistudio/data/data119702/PubTabNet_2.0.0_val.jsonl PubTabNet_2.0.0_val.jsonl \\\n",
    "&& ln -s /home/aistudio/data/data119702/val train \\\n",
    "&& ln -s /home/aistudio/data/data119702/val val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/setuptools/depends.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses\n",
      "  import imp\n",
      "[2021/12/26 19:57:29] root INFO: Architecture : \n",
      "[2021/12/26 19:57:29] root INFO:     Backbone : \n",
      "[2021/12/26 19:57:29] root INFO:         model_name : large\n",
      "[2021/12/26 19:57:29] root INFO:         name : MobileNetV3\n",
      "[2021/12/26 19:57:29] root INFO:         scale : 1.0\n",
      "[2021/12/26 19:57:29] root INFO:     Head : \n",
      "[2021/12/26 19:57:29] root INFO:         hidden_size : 256\n",
      "[2021/12/26 19:57:29] root INFO:         l2_decay : 1e-05\n",
      "[2021/12/26 19:57:29] root INFO:         loc_type : 2\n",
      "[2021/12/26 19:57:29] root INFO:         max_cell_num : 500\n",
      "[2021/12/26 19:57:29] root INFO:         max_elem_length : 800\n",
      "[2021/12/26 19:57:29] root INFO:         max_text_length : 100\n",
      "[2021/12/26 19:57:29] root INFO:         name : TableAttentionHead\n",
      "[2021/12/26 19:57:29] root INFO:     algorithm : TableAttn\n",
      "[2021/12/26 19:57:29] root INFO:     model_type : table\n",
      "[2021/12/26 19:57:29] root INFO: Eval : \n",
      "[2021/12/26 19:57:29] root INFO:     dataset : \n",
      "[2021/12/26 19:57:29] root INFO:         data_dir : train_data/table/pubtabnet/val/\n",
      "[2021/12/26 19:57:29] root INFO:         label_file_path : train_data/table/pubtabnet/PubTabNet_2.0.0_val.jsonl\n",
      "[2021/12/26 19:57:29] root INFO:         name : PubTabDataSet\n",
      "[2021/12/26 19:57:29] root INFO:         transforms : \n",
      "[2021/12/26 19:57:29] root INFO:             DecodeImage : \n",
      "[2021/12/26 19:57:29] root INFO:                 channel_first : False\n",
      "[2021/12/26 19:57:29] root INFO:                 img_mode : BGR\n",
      "[2021/12/26 19:57:29] root INFO:             ResizeTableImage : \n",
      "[2021/12/26 19:57:29] root INFO:                 max_len : 488\n",
      "[2021/12/26 19:57:29] root INFO:             TableLabelEncode : None\n",
      "[2021/12/26 19:57:29] root INFO:             NormalizeImage : \n",
      "[2021/12/26 19:57:29] root INFO:                 mean : [0.485, 0.456, 0.406]\n",
      "[2021/12/26 19:57:29] root INFO:                 order : hwc\n",
      "[2021/12/26 19:57:29] root INFO:                 scale : 1./255.\n",
      "[2021/12/26 19:57:29] root INFO:                 std : [0.229, 0.224, 0.225]\n",
      "[2021/12/26 19:57:29] root INFO:             PaddingTableImage : None\n",
      "[2021/12/26 19:57:29] root INFO:             ToCHWImage : None\n",
      "[2021/12/26 19:57:29] root INFO:             KeepKeys : \n",
      "[2021/12/26 19:57:29] root INFO:                 keep_keys : ['image', 'structure', 'bbox_list', 'sp_tokens', 'bbox_list_mask']\n",
      "[2021/12/26 19:57:29] root INFO:     loader : \n",
      "[2021/12/26 19:57:29] root INFO:         batch_size_per_card : 1\n",
      "[2021/12/26 19:57:29] root INFO:         drop_last : False\n",
      "[2021/12/26 19:57:29] root INFO:         num_workers : 1\n",
      "[2021/12/26 19:57:29] root INFO:         shuffle : False\n",
      "[2021/12/26 19:57:29] root INFO: Global : \n",
      "[2021/12/26 19:57:29] root INFO:     cal_metric_during_train : True\n",
      "[2021/12/26 19:57:29] root INFO:     character_dict_path : ppocr/utils/dict/table_structure_dict.txt\n",
      "[2021/12/26 19:57:29] root INFO:     character_type : en\n",
      "[2021/12/26 19:57:29] root INFO:     checkpoints : None\n",
      "[2021/12/26 19:57:29] root INFO:     debug : False\n",
      "[2021/12/26 19:57:29] root INFO:     distributed : False\n",
      "[2021/12/26 19:57:29] root INFO:     epoch_num : 400\n",
      "[2021/12/26 19:57:29] root INFO:     eval_batch_step : [0, 400]\n",
      "[2021/12/26 19:57:29] root INFO:     infer_img : doc/table/table.jpg\n",
      "[2021/12/26 19:57:29] root INFO:     infer_mode : False\n",
      "[2021/12/26 19:57:29] root INFO:     log_smooth_window : 20\n",
      "[2021/12/26 19:57:29] root INFO:     max_cell_num : 500\n",
      "[2021/12/26 19:57:29] root INFO:     max_elem_length : 800\n",
      "[2021/12/26 19:57:29] root INFO:     max_text_length : 100\n",
      "[2021/12/26 19:57:29] root INFO:     pretrained_model : None\n",
      "[2021/12/26 19:57:29] root INFO:     print_batch_step : 1\n",
      "[2021/12/26 19:57:29] root INFO:     process_cut_num : 0\n",
      "[2021/12/26 19:57:29] root INFO:     process_total_num : 0\n",
      "[2021/12/26 19:57:29] root INFO:     save_epoch_step : 3\n",
      "[2021/12/26 19:57:29] root INFO:     save_inference_dir : None\n",
      "[2021/12/26 19:57:29] root INFO:     save_model_dir : ./output/table_mv3/\n",
      "[2021/12/26 19:57:29] root INFO:     use_gpu : False\n",
      "[2021/12/26 19:57:29] root INFO:     use_visualdl : False\n",
      "[2021/12/26 19:57:29] root INFO: Loss : \n",
      "[2021/12/26 19:57:29] root INFO:     loc_weight : 10000.0\n",
      "[2021/12/26 19:57:29] root INFO:     name : TableAttentionLoss\n",
      "[2021/12/26 19:57:29] root INFO:     structure_weight : 100.0\n",
      "[2021/12/26 19:57:29] root INFO: Metric : \n",
      "[2021/12/26 19:57:29] root INFO:     main_indicator : acc\n",
      "[2021/12/26 19:57:29] root INFO:     name : TableMetric\n",
      "[2021/12/26 19:57:29] root INFO: Optimizer : \n",
      "[2021/12/26 19:57:29] root INFO:     beta1 : 0.9\n",
      "[2021/12/26 19:57:29] root INFO:     beta2 : 0.999\n",
      "[2021/12/26 19:57:29] root INFO:     clip_norm : 5.0\n",
      "[2021/12/26 19:57:29] root INFO:     lr : \n",
      "[2021/12/26 19:57:29] root INFO:         learning_rate : 0.001\n",
      "[2021/12/26 19:57:29] root INFO:     name : Adam\n",
      "[2021/12/26 19:57:29] root INFO:     regularizer : \n",
      "[2021/12/26 19:57:29] root INFO:         factor : 0.0\n",
      "[2021/12/26 19:57:29] root INFO:         name : L2\n",
      "[2021/12/26 19:57:29] root INFO: PostProcess : \n",
      "[2021/12/26 19:57:29] root INFO:     name : TableLabelDecode\n",
      "[2021/12/26 19:57:29] root INFO: Train : \n",
      "[2021/12/26 19:57:29] root INFO:     dataset : \n",
      "[2021/12/26 19:57:29] root INFO:         data_dir : train_data/table/pubtabnet/train/\n",
      "[2021/12/26 19:57:29] root INFO:         label_file_path : train_data/table/pubtabnet/PubTabNet_2.0.0_train.jsonl\n",
      "[2021/12/26 19:57:29] root INFO:         name : PubTabDataSet\n",
      "[2021/12/26 19:57:29] root INFO:         transforms : \n",
      "[2021/12/26 19:57:29] root INFO:             DecodeImage : \n",
      "[2021/12/26 19:57:29] root INFO:                 channel_first : False\n",
      "[2021/12/26 19:57:29] root INFO:                 img_mode : BGR\n",
      "[2021/12/26 19:57:29] root INFO:             ResizeTableImage : \n",
      "[2021/12/26 19:57:29] root INFO:                 max_len : 488\n",
      "[2021/12/26 19:57:29] root INFO:             TableLabelEncode : None\n",
      "[2021/12/26 19:57:29] root INFO:             NormalizeImage : \n",
      "[2021/12/26 19:57:29] root INFO:                 mean : [0.485, 0.456, 0.406]\n",
      "[2021/12/26 19:57:29] root INFO:                 order : hwc\n",
      "[2021/12/26 19:57:29] root INFO:                 scale : 1./255.\n",
      "[2021/12/26 19:57:29] root INFO:                 std : [0.229, 0.224, 0.225]\n",
      "[2021/12/26 19:57:29] root INFO:             PaddingTableImage : None\n",
      "[2021/12/26 19:57:29] root INFO:             ToCHWImage : None\n",
      "[2021/12/26 19:57:29] root INFO:             KeepKeys : \n",
      "[2021/12/26 19:57:29] root INFO:                 keep_keys : ['image', 'structure', 'bbox_list', 'sp_tokens', 'bbox_list_mask']\n",
      "[2021/12/26 19:57:29] root INFO:     loader : \n",
      "[2021/12/26 19:57:29] root INFO:         batch_size_per_card : 1\n",
      "[2021/12/26 19:57:29] root INFO:         drop_last : True\n",
      "[2021/12/26 19:57:29] root INFO:         num_workers : 1\n",
      "[2021/12/26 19:57:29] root INFO:         shuffle : True\n",
      "[2021/12/26 19:57:29] root INFO: profiler_options : None\n",
      "[2021/12/26 19:57:29] root INFO: train with paddle 2.2.1 and device CPUPlace\n",
      "[2021/12/26 19:57:29] root INFO: Initialize indexs of datasets:train_data/table/pubtabnet/PubTabNet_2.0.0_train.jsonl\n",
      "[2021/12/26 19:57:29] root INFO: Initialize indexs of datasets:train_data/table/pubtabnet/PubTabNet_2.0.0_val.jsonl\n",
      "[2021/12/26 19:57:29] root INFO: train from scratch\n",
      "[2021/12/26 19:57:29] root INFO: train dataloader has 9115 iters\n",
      "[2021/12/26 19:57:29] root INFO: valid dataloader has 9115 iters\n",
      "[2021/12/26 19:57:29] root INFO: During the training process, after the 0th iteration, an evaluation is run every 400 iterations\n",
      "[2021/12/26 19:57:29] root INFO: Initialize indexs of datasets:train_data/table/pubtabnet/PubTabNet_2.0.0_train.jsonl\n",
      "[2021/12/26 19:57:47] root INFO: epoch: [1/400], iter: 1, lr: 0.001000, loss: 358.711182, structure_loss: 277.904785, loc_loss: 80.806374, acc: 0.000000, reader_cost: 0.05254 s, batch_cost: 17.39120 s, samples: 2, ips: 0.11500\n",
      "[2021/12/26 19:57:55] root INFO: epoch: [1/400], iter: 2, lr: 0.001000, loss: 353.381165, structure_loss: 208.200623, loc_loss: 137.825607, acc: 0.000000, reader_cost: 0.00041 s, batch_cost: 8.65134 s, samples: 1, ips: 0.11559\n",
      "^C\n",
      "main proc 431 exit, kill process group 417\n",
      "main proc 417 exit, kill process group 417\n"
     ]
    }
   ],
   "source": [
    "! python tools/train.py -c configs/table/table_mv3.yml -o Global.use_gpu=False Global.print_batch_step=1 Train.loader.batch_size_per_card=1 Eval.loader.batch_size_per_card=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 3.5 模型评估\n",
    "\n",
    "训练过程中，默认保存两种模型，一种是latest命名的最新训练的模型，一种是best_accuracy命名的精度最高的模型。接下来使用保存的模型参数评估在测试集上的准确率：\n",
    "\n",
    "表格结构模型的精度评估代码位于[PaddleOCR/ppocr/metrics/table_metric.py](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppocr/metrics/table_metric.py)中，调用tools/eval.py即可进行对训练好的模型做精度评估。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/setuptools/depends.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses\n",
      "  import imp\n",
      "[2021/12/26 20:00:08] root INFO: Architecture : \n",
      "[2021/12/26 20:00:08] root INFO:     Backbone : \n",
      "[2021/12/26 20:00:08] root INFO:         model_name : large\n",
      "[2021/12/26 20:00:08] root INFO:         name : MobileNetV3\n",
      "[2021/12/26 20:00:08] root INFO:         scale : 1.0\n",
      "[2021/12/26 20:00:08] root INFO:     Head : \n",
      "[2021/12/26 20:00:08] root INFO:         hidden_size : 256\n",
      "[2021/12/26 20:00:08] root INFO:         l2_decay : 1e-05\n",
      "[2021/12/26 20:00:08] root INFO:         loc_type : 2\n",
      "[2021/12/26 20:00:08] root INFO:         max_cell_num : 500\n",
      "[2021/12/26 20:00:08] root INFO:         max_elem_length : 800\n",
      "[2021/12/26 20:00:08] root INFO:         max_text_length : 100\n",
      "[2021/12/26 20:00:08] root INFO:         name : TableAttentionHead\n",
      "[2021/12/26 20:00:08] root INFO:     algorithm : TableAttn\n",
      "[2021/12/26 20:00:08] root INFO:     model_type : table\n",
      "[2021/12/26 20:00:08] root INFO: Eval : \n",
      "[2021/12/26 20:00:08] root INFO:     dataset : \n",
      "[2021/12/26 20:00:08] root INFO:         data_dir : train_data/table/pubtabnet/val/\n",
      "[2021/12/26 20:00:08] root INFO:         label_file_path : train_data/table/pubtabnet/PubTabNet_2.0.0_val.jsonl\n",
      "[2021/12/26 20:00:08] root INFO:         name : PubTabDataSet\n",
      "[2021/12/26 20:00:08] root INFO:         transforms : \n",
      "[2021/12/26 20:00:08] root INFO:             DecodeImage : \n",
      "[2021/12/26 20:00:08] root INFO:                 channel_first : False\n",
      "[2021/12/26 20:00:08] root INFO:                 img_mode : BGR\n",
      "[2021/12/26 20:00:08] root INFO:             ResizeTableImage : \n",
      "[2021/12/26 20:00:08] root INFO:                 max_len : 488\n",
      "[2021/12/26 20:00:08] root INFO:             TableLabelEncode : None\n",
      "[2021/12/26 20:00:08] root INFO:             NormalizeImage : \n",
      "[2021/12/26 20:00:08] root INFO:                 mean : [0.485, 0.456, 0.406]\n",
      "[2021/12/26 20:00:08] root INFO:                 order : hwc\n",
      "[2021/12/26 20:00:08] root INFO:                 scale : 1./255.\n",
      "[2021/12/26 20:00:08] root INFO:                 std : [0.229, 0.224, 0.225]\n",
      "[2021/12/26 20:00:08] root INFO:             PaddingTableImage : None\n",
      "[2021/12/26 20:00:08] root INFO:             ToCHWImage : None\n",
      "[2021/12/26 20:00:08] root INFO:             KeepKeys : \n",
      "[2021/12/26 20:00:08] root INFO:                 keep_keys : ['image', 'structure', 'bbox_list', 'sp_tokens', 'bbox_list_mask']\n",
      "[2021/12/26 20:00:08] root INFO:     loader : \n",
      "[2021/12/26 20:00:08] root INFO:         batch_size_per_card : 1\n",
      "[2021/12/26 20:00:08] root INFO:         drop_last : False\n",
      "[2021/12/26 20:00:08] root INFO:         num_workers : 1\n",
      "[2021/12/26 20:00:08] root INFO:         shuffle : False\n",
      "[2021/12/26 20:00:08] root INFO: Global : \n",
      "[2021/12/26 20:00:08] root INFO:     cal_metric_during_train : True\n",
      "[2021/12/26 20:00:08] root INFO:     character_dict_path : ppocr/utils/dict/table_structure_dict.txt\n",
      "[2021/12/26 20:00:08] root INFO:     character_type : en\n",
      "[2021/12/26 20:00:08] root INFO:     checkpoints : /home/aistudio/PaddleOCR/pre_train/en_ppocr_mobile_v2.0_table_structure_train/best_accuracy\n",
      "[2021/12/26 20:00:08] root INFO:     debug : False\n",
      "[2021/12/26 20:00:08] root INFO:     distributed : False\n",
      "[2021/12/26 20:00:08] root INFO:     epoch_num : 400\n",
      "[2021/12/26 20:00:08] root INFO:     eval_batch_step : [0, 400]\n",
      "[2021/12/26 20:00:08] root INFO:     infer_img : doc/table/table.jpg\n",
      "[2021/12/26 20:00:08] root INFO:     infer_mode : False\n",
      "[2021/12/26 20:00:08] root INFO:     log_smooth_window : 20\n",
      "[2021/12/26 20:00:08] root INFO:     max_cell_num : 500\n",
      "[2021/12/26 20:00:08] root INFO:     max_elem_length : 800\n",
      "[2021/12/26 20:00:08] root INFO:     max_text_length : 100\n",
      "[2021/12/26 20:00:08] root INFO:     pretrained_model : None\n",
      "[2021/12/26 20:00:08] root INFO:     print_batch_step : 5\n",
      "[2021/12/26 20:00:08] root INFO:     process_cut_num : 0\n",
      "[2021/12/26 20:00:08] root INFO:     process_total_num : 0\n",
      "[2021/12/26 20:00:08] root INFO:     save_epoch_step : 3\n",
      "[2021/12/26 20:00:08] root INFO:     save_inference_dir : None\n",
      "[2021/12/26 20:00:08] root INFO:     save_model_dir : ./output/table_mv3/\n",
      "[2021/12/26 20:00:08] root INFO:     use_gpu : False\n",
      "[2021/12/26 20:00:08] root INFO:     use_visualdl : False\n",
      "[2021/12/26 20:00:08] root INFO: Loss : \n",
      "[2021/12/26 20:00:08] root INFO:     loc_weight : 10000.0\n",
      "[2021/12/26 20:00:08] root INFO:     name : TableAttentionLoss\n",
      "[2021/12/26 20:00:08] root INFO:     structure_weight : 100.0\n",
      "[2021/12/26 20:00:08] root INFO: Metric : \n",
      "[2021/12/26 20:00:08] root INFO:     main_indicator : acc\n",
      "[2021/12/26 20:00:08] root INFO:     name : TableMetric\n",
      "[2021/12/26 20:00:08] root INFO: Optimizer : \n",
      "[2021/12/26 20:00:08] root INFO:     beta1 : 0.9\n",
      "[2021/12/26 20:00:08] root INFO:     beta2 : 0.999\n",
      "[2021/12/26 20:00:08] root INFO:     clip_norm : 5.0\n",
      "[2021/12/26 20:00:08] root INFO:     lr : \n",
      "[2021/12/26 20:00:08] root INFO:         learning_rate : 0.001\n",
      "[2021/12/26 20:00:08] root INFO:     name : Adam\n",
      "[2021/12/26 20:00:08] root INFO:     regularizer : \n",
      "[2021/12/26 20:00:08] root INFO:         factor : 0.0\n",
      "[2021/12/26 20:00:08] root INFO:         name : L2\n",
      "[2021/12/26 20:00:08] root INFO: PostProcess : \n",
      "[2021/12/26 20:00:08] root INFO:     name : TableLabelDecode\n",
      "[2021/12/26 20:00:08] root INFO: Train : \n",
      "[2021/12/26 20:00:08] root INFO:     dataset : \n",
      "[2021/12/26 20:00:08] root INFO:         data_dir : train_data/table/pubtabnet/train/\n",
      "[2021/12/26 20:00:08] root INFO:         label_file_path : train_data/table/pubtabnet/PubTabNet_2.0.0_train.jsonl\n",
      "[2021/12/26 20:00:08] root INFO:         name : PubTabDataSet\n",
      "[2021/12/26 20:00:08] root INFO:         transforms : \n",
      "[2021/12/26 20:00:08] root INFO:             DecodeImage : \n",
      "[2021/12/26 20:00:08] root INFO:                 channel_first : False\n",
      "[2021/12/26 20:00:08] root INFO:                 img_mode : BGR\n",
      "[2021/12/26 20:00:08] root INFO:             ResizeTableImage : \n",
      "[2021/12/26 20:00:08] root INFO:                 max_len : 488\n",
      "[2021/12/26 20:00:08] root INFO:             TableLabelEncode : None\n",
      "[2021/12/26 20:00:08] root INFO:             NormalizeImage : \n",
      "[2021/12/26 20:00:08] root INFO:                 mean : [0.485, 0.456, 0.406]\n",
      "[2021/12/26 20:00:08] root INFO:                 order : hwc\n",
      "[2021/12/26 20:00:08] root INFO:                 scale : 1./255.\n",
      "[2021/12/26 20:00:08] root INFO:                 std : [0.229, 0.224, 0.225]\n",
      "[2021/12/26 20:00:08] root INFO:             PaddingTableImage : None\n",
      "[2021/12/26 20:00:08] root INFO:             ToCHWImage : None\n",
      "[2021/12/26 20:00:08] root INFO:             KeepKeys : \n",
      "[2021/12/26 20:00:08] root INFO:                 keep_keys : ['image', 'structure', 'bbox_list', 'sp_tokens', 'bbox_list_mask']\n",
      "[2021/12/26 20:00:08] root INFO:     loader : \n",
      "[2021/12/26 20:00:08] root INFO:         batch_size_per_card : 32\n",
      "[2021/12/26 20:00:08] root INFO:         drop_last : True\n",
      "[2021/12/26 20:00:08] root INFO:         num_workers : 1\n",
      "[2021/12/26 20:00:08] root INFO:         shuffle : True\n",
      "[2021/12/26 20:00:08] root INFO: profiler_options : None\n",
      "[2021/12/26 20:00:08] root INFO: train with paddle 2.2.1 and device CPUPlace\n",
      "[2021/12/26 20:00:08] root INFO: Initialize indexs of datasets:train_data/table/pubtabnet/PubTabNet_2.0.0_val.jsonl\n",
      "[2021/12/26 20:00:08] root INFO: resume from /home/aistudio/PaddleOCR/pre_train/en_ppocr_mobile_v2.0_table_structure_train/best_accuracy\n",
      "[2021/12/26 20:00:08] root INFO: metric in ckpt ***************\n",
      "[2021/12/26 20:00:08] root INFO: acc:0.7380142622051563\n",
      "[2021/12/26 20:00:08] root INFO: fps:8.360272547972942\n",
      "[2021/12/26 20:00:08] root INFO: best_epoch:7\n",
      "[2021/12/26 20:00:08] root INFO: start_epoch:8\n",
      "eval model::   0%|                           | 2/9115 [00:07<8:55:26,  3.53s/it]^C\n",
      "main proc 602 exit, kill process group 576\n",
      "main proc 576 exit, kill process group 576\n"
     ]
    }
   ],
   "source": [
    "!python tools/eval.py -c configs/table/table_mv3.yml -o Global.checkpoints=/home/aistudio/PaddleOCR/pre_train/en_ppocr_mobile_v2.0_table_structure_train/best_accuracy Global.use_gpu=False Eval.loader.batch_size_per_card=1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 3.6 模型预测\n",
    "\n",
    "训练好模型后，也可以使用保存好的模型，对单张图片或者某个文件夹的图像进行模型推理，观察模型预测效果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/setuptools/depends.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses\n",
      "  import imp\n",
      "[2021/12/26 20:00:22] root INFO: Architecture : \n",
      "[2021/12/26 20:00:22] root INFO:     Backbone : \n",
      "[2021/12/26 20:00:22] root INFO:         model_name : large\n",
      "[2021/12/26 20:00:22] root INFO:         name : MobileNetV3\n",
      "[2021/12/26 20:00:22] root INFO:         scale : 1.0\n",
      "[2021/12/26 20:00:22] root INFO:     Head : \n",
      "[2021/12/26 20:00:22] root INFO:         hidden_size : 256\n",
      "[2021/12/26 20:00:22] root INFO:         l2_decay : 1e-05\n",
      "[2021/12/26 20:00:22] root INFO:         loc_type : 2\n",
      "[2021/12/26 20:00:22] root INFO:         max_cell_num : 500\n",
      "[2021/12/26 20:00:22] root INFO:         max_elem_length : 800\n",
      "[2021/12/26 20:00:22] root INFO:         max_text_length : 100\n",
      "[2021/12/26 20:00:22] root INFO:         name : TableAttentionHead\n",
      "[2021/12/26 20:00:22] root INFO:     algorithm : TableAttn\n",
      "[2021/12/26 20:00:22] root INFO:     model_type : table\n",
      "[2021/12/26 20:00:22] root INFO: Eval : \n",
      "[2021/12/26 20:00:22] root INFO:     dataset : \n",
      "[2021/12/26 20:00:22] root INFO:         data_dir : train_data/table/pubtabnet/val/\n",
      "[2021/12/26 20:00:22] root INFO:         label_file_path : train_data/table/pubtabnet/PubTabNet_2.0.0_val.jsonl\n",
      "[2021/12/26 20:00:22] root INFO:         name : PubTabDataSet\n",
      "[2021/12/26 20:00:22] root INFO:         transforms : \n",
      "[2021/12/26 20:00:22] root INFO:             DecodeImage : \n",
      "[2021/12/26 20:00:22] root INFO:                 channel_first : False\n",
      "[2021/12/26 20:00:22] root INFO:                 img_mode : BGR\n",
      "[2021/12/26 20:00:22] root INFO:             ResizeTableImage : \n",
      "[2021/12/26 20:00:22] root INFO:                 max_len : 488\n",
      "[2021/12/26 20:00:22] root INFO:             TableLabelEncode : None\n",
      "[2021/12/26 20:00:22] root INFO:             NormalizeImage : \n",
      "[2021/12/26 20:00:22] root INFO:                 mean : [0.485, 0.456, 0.406]\n",
      "[2021/12/26 20:00:22] root INFO:                 order : hwc\n",
      "[2021/12/26 20:00:22] root INFO:                 scale : 1./255.\n",
      "[2021/12/26 20:00:22] root INFO:                 std : [0.229, 0.224, 0.225]\n",
      "[2021/12/26 20:00:22] root INFO:             PaddingTableImage : None\n",
      "[2021/12/26 20:00:22] root INFO:             ToCHWImage : None\n",
      "[2021/12/26 20:00:22] root INFO:             KeepKeys : \n",
      "[2021/12/26 20:00:22] root INFO:                 keep_keys : ['image', 'structure', 'bbox_list', 'sp_tokens', 'bbox_list_mask']\n",
      "[2021/12/26 20:00:22] root INFO:     loader : \n",
      "[2021/12/26 20:00:22] root INFO:         batch_size_per_card : 16\n",
      "[2021/12/26 20:00:22] root INFO:         drop_last : False\n",
      "[2021/12/26 20:00:22] root INFO:         num_workers : 1\n",
      "[2021/12/26 20:00:22] root INFO:         shuffle : False\n",
      "[2021/12/26 20:00:22] root INFO: Global : \n",
      "[2021/12/26 20:00:22] root INFO:     cal_metric_during_train : True\n",
      "[2021/12/26 20:00:22] root INFO:     character_dict_path : ppocr/utils/dict/table_structure_dict.txt\n",
      "[2021/12/26 20:00:22] root INFO:     character_type : en\n",
      "[2021/12/26 20:00:22] root INFO:     checkpoints : /home/aistudio/PaddleOCR/pre_train/en_ppocr_mobile_v2.0_table_structure_train/best_accuracy\n",
      "[2021/12/26 20:00:22] root INFO:     debug : False\n",
      "[2021/12/26 20:00:22] root INFO:     distributed : False\n",
      "[2021/12/26 20:00:22] root INFO:     epoch_num : 400\n",
      "[2021/12/26 20:00:22] root INFO:     eval_batch_step : [0, 400]\n",
      "[2021/12/26 20:00:22] root INFO:     infer_img : /home/aistudio/1.jpg\n",
      "[2021/12/26 20:00:22] root INFO:     infer_mode : False\n",
      "[2021/12/26 20:00:22] root INFO:     log_smooth_window : 20\n",
      "[2021/12/26 20:00:22] root INFO:     max_cell_num : 500\n",
      "[2021/12/26 20:00:22] root INFO:     max_elem_length : 800\n",
      "[2021/12/26 20:00:22] root INFO:     max_text_length : 100\n",
      "[2021/12/26 20:00:22] root INFO:     pretrained_model : None\n",
      "[2021/12/26 20:00:22] root INFO:     print_batch_step : 5\n",
      "[2021/12/26 20:00:22] root INFO:     process_cut_num : 0\n",
      "[2021/12/26 20:00:22] root INFO:     process_total_num : 0\n",
      "[2021/12/26 20:00:22] root INFO:     save_epoch_step : 3\n",
      "[2021/12/26 20:00:22] root INFO:     save_inference_dir : None\n",
      "[2021/12/26 20:00:22] root INFO:     save_model_dir : ./output/table_mv3/\n",
      "[2021/12/26 20:00:22] root INFO:     use_gpu : False\n",
      "[2021/12/26 20:00:22] root INFO:     use_visualdl : False\n",
      "[2021/12/26 20:00:22] root INFO: Loss : \n",
      "[2021/12/26 20:00:22] root INFO:     loc_weight : 10000.0\n",
      "[2021/12/26 20:00:22] root INFO:     name : TableAttentionLoss\n",
      "[2021/12/26 20:00:22] root INFO:     structure_weight : 100.0\n",
      "[2021/12/26 20:00:22] root INFO: Metric : \n",
      "[2021/12/26 20:00:22] root INFO:     main_indicator : acc\n",
      "[2021/12/26 20:00:22] root INFO:     name : TableMetric\n",
      "[2021/12/26 20:00:22] root INFO: Optimizer : \n",
      "[2021/12/26 20:00:22] root INFO:     beta1 : 0.9\n",
      "[2021/12/26 20:00:22] root INFO:     beta2 : 0.999\n",
      "[2021/12/26 20:00:22] root INFO:     clip_norm : 5.0\n",
      "[2021/12/26 20:00:22] root INFO:     lr : \n",
      "[2021/12/26 20:00:22] root INFO:         learning_rate : 0.001\n",
      "[2021/12/26 20:00:22] root INFO:     name : Adam\n",
      "[2021/12/26 20:00:22] root INFO:     regularizer : \n",
      "[2021/12/26 20:00:22] root INFO:         factor : 0.0\n",
      "[2021/12/26 20:00:22] root INFO:         name : L2\n",
      "[2021/12/26 20:00:22] root INFO: PostProcess : \n",
      "[2021/12/26 20:00:22] root INFO:     name : TableLabelDecode\n",
      "[2021/12/26 20:00:22] root INFO: Train : \n",
      "[2021/12/26 20:00:22] root INFO:     dataset : \n",
      "[2021/12/26 20:00:22] root INFO:         data_dir : train_data/table/pubtabnet/train/\n",
      "[2021/12/26 20:00:22] root INFO:         label_file_path : train_data/table/pubtabnet/PubTabNet_2.0.0_train.jsonl\n",
      "[2021/12/26 20:00:22] root INFO:         name : PubTabDataSet\n",
      "[2021/12/26 20:00:22] root INFO:         transforms : \n",
      "[2021/12/26 20:00:22] root INFO:             DecodeImage : \n",
      "[2021/12/26 20:00:22] root INFO:                 channel_first : False\n",
      "[2021/12/26 20:00:22] root INFO:                 img_mode : BGR\n",
      "[2021/12/26 20:00:22] root INFO:             ResizeTableImage : \n",
      "[2021/12/26 20:00:22] root INFO:                 max_len : 488\n",
      "[2021/12/26 20:00:22] root INFO:             TableLabelEncode : None\n",
      "[2021/12/26 20:00:22] root INFO:             NormalizeImage : \n",
      "[2021/12/26 20:00:22] root INFO:                 mean : [0.485, 0.456, 0.406]\n",
      "[2021/12/26 20:00:22] root INFO:                 order : hwc\n",
      "[2021/12/26 20:00:22] root INFO:                 scale : 1./255.\n",
      "[2021/12/26 20:00:22] root INFO:                 std : [0.229, 0.224, 0.225]\n",
      "[2021/12/26 20:00:22] root INFO:             PaddingTableImage : None\n",
      "[2021/12/26 20:00:22] root INFO:             ToCHWImage : None\n",
      "[2021/12/26 20:00:22] root INFO:             KeepKeys : \n",
      "[2021/12/26 20:00:22] root INFO:                 keep_keys : ['image', 'structure', 'bbox_list', 'sp_tokens', 'bbox_list_mask']\n",
      "[2021/12/26 20:00:22] root INFO:     loader : \n",
      "[2021/12/26 20:00:22] root INFO:         batch_size_per_card : 32\n",
      "[2021/12/26 20:00:22] root INFO:         drop_last : True\n",
      "[2021/12/26 20:00:22] root INFO:         num_workers : 1\n",
      "[2021/12/26 20:00:22] root INFO:         shuffle : True\n",
      "[2021/12/26 20:00:22] root INFO: profiler_options : None\n",
      "[2021/12/26 20:00:22] root INFO: train with paddle 2.2.1 and device CPUPlace\n",
      "[2021/12/26 20:00:22] root INFO: resume from /home/aistudio/PaddleOCR/pre_train/en_ppocr_mobile_v2.0_table_structure_train/best_accuracy\n",
      "[2021/12/26 20:00:22] root INFO: infer_img: /home/aistudio/1.jpg\n",
      "[2021/12/26 20:00:26] root INFO: result: ['<thead><tr><td></td><td></td><td></td><td></td><td></td></tr></thead><tbody><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td></tr></tbody>'], [[32, 9, 104, 40], [232, 8, 307, 41], [429, 7, 500, 44], [559, 8, 656, 44], [715, 7, 780, 44], [37, 45, 99, 73], [190, 44, 342, 74], [432, 45, 502, 74], [565, 44, 655, 73], [712, 46, 777, 74], [30, 81, 101, 109], [202, 80, 337, 110], [433, 81, 503, 111], [578, 83, 638, 110], [698, 82, 790, 110], [31, 119, 104, 148], [197, 116, 347, 147], [443, 117, 492, 148], [572, 118, 643, 147], [698, 118, 797, 147], [35, 154, 101, 183], [199, 152, 342, 184], [436, 154, 501, 184], [558, 155, 670, 184], [701, 153, 801, 183], [40, 188, 93, 217], [217, 187, 314, 219], [417, 187, 516, 218], [556, 187, 667, 217], [716, 188, 772, 216], [48, 227, 98, 255], [223, 224, 313, 256], [429, 226, 500, 256], [558, 226, 667, 256], [722, 225, 772, 254], [47, 262, 99, 291], [217, 260, 313, 293], [439, 261, 506, 293], [557, 260, 678, 292], [722, 261, 777, 290], [36, 295, 95, 324], [210, 296, 317, 326], [443, 296, 499, 326], [547, 296, 681, 326], [701, 300, 767, 328], [42, 332, 99, 361], [191, 330, 350, 360], [451, 331, 493, 361], [557, 331, 683, 361], [717, 335, 785, 362], [45, 369, 97, 396], [186, 367, 355, 400], [444, 369, 504, 398], [581, 369, 640, 397], [723, 368, 773, 396], [37, 404, 95, 431], [192, 404, 351, 433], [438, 404, 511, 432], [560, 405, 658, 432], [723, 404, 775, 431], [46, 444, 104, 469], [188, 441, 346, 470], [444, 444, 496, 471], [544, 445, 681, 471], [721, 444, 773, 470], [35, 478, 104, 503], [190, 475, 345, 505], [436, 477, 504, 504], [559, 476, 662, 505], [712, 477, 778, 504]]\n",
      "[2021/12/26 20:00:26] root INFO: success!\n"
     ]
    }
   ],
   "source": [
    "! python tools/infer_table.py -c configs/table/table_mv3.yml -o Global.checkpoints=/home/aistudio/PaddleOCR/pre_train/en_ppocr_mobile_v2.0_table_structure_train/best_accuracy Global.infer_img=/home/aistudio/1.jpg Global.use_gpu=False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## 4 总结\n",
    "\n",
    "本节介绍了PaddleOCR中 PP-Structure 表格识别算法的原理，并且介绍了表格结构模型从数据处理到完成训练的过程。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## 5. 作业\n",
    "\n",
    "[https://aistudio.baidu.com/aistudio/education/objective/28711](https://aistudio.baidu.com/aistudio/education/objective/28711)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
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